diff --git a/boston_housing/README.md b/boston_housing/README.md deleted file mode 100755 index 42ebee5..0000000 --- a/boston_housing/README.md +++ /dev/null @@ -1,48 +0,0 @@ -# Machine Learning Engineer Nanodegree -# Model Evaluation and Validation -## Project: Predicting Boston Housing Prices - -## Here's the [review](https://review.udacity.com/#!/reviews/323543/shared) for my work in this project - -### Install - -This project requires **Python 2.7** and the following Python libraries installed: - -- [NumPy](http://www.numpy.org/) -- [Pandas](http://pandas.pydata.org/) -- [matplotlib](http://matplotlib.org/) -- [scikit-learn](http://scikit-learn.org/stable/) - -You will also need to have software installed to run and execute a [Jupyter Notebook](http://ipython.org/notebook.html) - -If you do not have Python installed yet, it is highly recommended that you install the [Anaconda](http://continuum.io/downloads) distribution of Python, which already has the above packages and more included. Make sure that you select the Python 2.7 installer and not the Python 3.x installer. - -### Code - -Template code is provided in the `boston_housing.ipynb` notebook file. You will also be required to use the included `visuals.py` Python file and the `housing.csv` dataset file to complete your work. While some code has already been implemented to get you started, you will need to implement additional functionality when requested to successfully complete the project. Note that the code included in `visuals.py` is meant to be used out-of-the-box and not intended for students to manipulate. If you are interested in how the visualizations are created in the notebook, please feel free to explore this Python file. - -### Run - -In a terminal or command window, navigate to the top-level project directory `boston_housing/` (that contains this README) and run one of the following commands: - -```bash -ipython notebook boston_housing.ipynb -``` -or -```bash -jupyter notebook boston_housing.ipynb -``` - -This will open the Jupyter Notebook software and project file in your browser. - -### Data - -The modified Boston housing dataset consists of 490 data points, with each datapoint having 3 features. This dataset is a modified version of the Boston Housing dataset found on the [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/Housing). - -**Features** -1. `RM`: average number of rooms per dwelling -2. `LSTAT`: percentage of population considered lower status -3. `PTRATIO`: pupil-student ratio by town - -**Target Variable** -4. `MEDV`: median value of owner-occupied homes \ No newline at end of file diff --git a/boston_housing/boston_housing.ipynb b/boston_housing/boston_housing.ipynb deleted file mode 100755 index f927f98..0000000 --- a/boston_housing/boston_housing.ipynb +++ /dev/null @@ -1,774 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Machine Learning Engineer Nanodegree\n", - "## Model Evaluation & Validation\n", - "## Project: Predicting Boston Housing Prices\n", - "\n", - "Welcome to the first project of the Machine Learning Engineer Nanodegree! In this notebook, some template code has already been provided for you, and you will need to implement additional functionality to successfully complete this project. You will not need to modify the included code beyond what is requested. Sections that begin with **'Implementation'** in the header indicate that the following block of code will require additional functionality which you must provide. Instructions will be provided for each section and the specifics of the implementation are marked in the code block with a 'TODO' statement. Please be sure to read the instructions carefully!\n", - "\n", - "In addition to implementing code, there will be questions that you must answer which relate to the project and your implementation. Each section where you will answer a question is preceded by a **'Question X'** header. Carefully read each question and provide thorough answers in the following text boxes that begin with **'Answer:'**. Your project submission will be evaluated based on your answers to each of the questions and the implementation you provide. \n", - "\n", - ">**Note:** Code and Markdown cells can be executed using the **Shift + Enter** keyboard shortcut. In addition, Markdown cells can be edited by typically double-clicking the cell to enter edit mode." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Getting Started\n", - "In this project, you will evaluate the performance and predictive power of a model that has been trained and tested on data collected from homes in suburbs of Boston, Massachusetts. A model trained on this data that is seen as a *good fit* could then be used to make certain predictions about a home — in particular, its monetary value. This model would prove to be invaluable for someone like a real estate agent who could make use of such information on a daily basis.\n", - "\n", - "The dataset for this project originates from the [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/Housing). The Boston housing data was collected in 1978 and each of the 506 entries represent aggregated data about 14 features for homes from various suburbs in Boston, Massachusetts. For the purposes of this project, the following preprocessing steps have been made to the dataset:\n", - "- 16 data points have an `'MEDV'` value of 50.0. These data points likely contain **missing or censored values** and have been removed.\n", - "- 1 data point has an `'RM'` value of 8.78. This data point can be considered an **outlier** and has been removed.\n", - "- The features `'RM'`, `'LSTAT'`, `'PTRATIO'`, and `'MEDV'` are essential. The remaining **non-relevant features** have been excluded.\n", - "- The feature `'MEDV'` has been **multiplicatively scaled** to account for 35 years of market inflation.\n", - "\n", - "Run the code cell below to load the Boston housing dataset, along with a few of the necessary Python libraries required for this project. You will know the dataset loaded successfully if the size of the dataset is reported." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Boston housing dataset has 489 data points with 4 variables each.\n" - ] - } - ], - "source": [ - "# Import libraries necessary for this project\n", - "import numpy as np\n", - "import pandas as pd\n", - "from sklearn.cross_validation import ShuffleSplit\n", - "\n", - "# Import supplementary visualizations code visuals.py\n", - "import visuals as vs\n", - "\n", - "# Pretty display for notebooks\n", - "%matplotlib inline\n", - "\n", - "# Load the Boston housing dataset\n", - "data = pd.read_csv('housing.csv')\n", - "prices = data['MEDV']\n", - "features = data.drop('MEDV', axis = 1)\n", - " \n", - "# Success\n", - "print \"Boston housing dataset has {} data points with {} variables each.\".format(*data.shape)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Exploration\n", - "In this first section of this project, you will make a cursory investigation about the Boston housing data and provide your observations. Familiarizing yourself with the data through an explorative process is a fundamental practice to help you better understand and justify your results.\n", - "\n", - "Since the main goal of this project is to construct a working model which has the capability of predicting the value of houses, we will need to separate the dataset into **features** and the **target variable**. The **features**, `'RM'`, `'LSTAT'`, and `'PTRATIO'`, give us quantitative information about each data point. The **target variable**, `'MEDV'`, will be the variable we seek to predict. These are stored in `features` and `prices`, respectively." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Calculate Statistics\n", - "For your very first coding implementation, you will calculate descriptive statistics about the Boston housing prices. Since `numpy` has already been imported for you, use this library to perform the necessary calculations. These statistics will be extremely important later on to analyze various prediction results from the constructed model.\n", - "\n", - "In the code cell below, you will need to implement the following:\n", - "- Calculate the minimum, maximum, mean, median, and standard deviation of `'MEDV'`, which is stored in `prices`.\n", - " - Store each calculation in their respective variable." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "105000.0\n", - "1024800.0\n", - "Statistics for Boston housing dataset:\n", - "\n", - "Minimum price: $105,000.00\n", - "Maximum price: $1,024,800.00\n", - "Mean price: $454,342.94\n", - "Median price $438,900.00\n", - "Standard deviation of prices: $165,171.13\n" - ] - } - ], - "source": [ - "prices = data['MEDV']\n", - "\n", - "# TODO: Minimum price of the data\n", - "minimum_price = np.amin(prices)\n", - "print minimum_price\n", - "\n", - "# TODO: Maximum price of the data\n", - "maximum_price = np.amax(prices)\n", - "print maximum_price\n", - "\n", - "# TODO: Mean price of the data\n", - "mean_price = np.mean(prices)\n", - "\n", - "# TODO: Median price of the data\n", - "median_price = np.median(prices)\n", - "\n", - "# TODO: Standard deviation of prices of the data\n", - "std_price = np.std(prices)\n", - "\n", - "# Show the calculated statistics\n", - "print \"Statistics for Boston housing dataset:\\n\"\n", - "print \"Minimum price: ${:,.2f}\".format(minimum_price)\n", - "print \"Maximum price: ${:,.2f}\".format(maximum_price)\n", - "print \"Mean price: ${:,.2f}\".format(mean_price)\n", - "print \"Median price ${:,.2f}\".format(median_price)\n", - "print \"Standard deviation of prices: ${:,.2f}\".format(std_price)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 1 - Feature Observation\n", - "As a reminder, we are using three features from the Boston housing dataset: `'RM'`, `'LSTAT'`, and `'PTRATIO'`. For each data point (neighborhood):\n", - "- `'RM'` is the average number of rooms among homes in the neighborhood.\n", - "- `'LSTAT'` is the percentage of homeowners in the neighborhood considered \"lower class\" (working poor).\n", - "- `'PTRATIO'` is the ratio of students to teachers in primary and secondary schools in the neighborhood.\n", - "\n", - "_Using your intuition, for each of the three features above, do you think that an increase in the value of that feature would lead to an **increase** in the value of `'MEDV'` or a **decrease** in the value of `'MEDV'`? Justify your answer for each._ \n", - "**Hint:** Would you expect a home that has an `'RM'` value of 6 be worth more or less than a home that has an `'RM'` value of 7?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: **\n", - "\n", - "* **RM**: More number of rooms would mean that the house is bigger in area, and can accomodate bigger families. So an **increase** in _RM_ will lead to an **increase** in _MEDV_.\n", - "\n", - "* **LSTAT**: If the percentage of lower class homeowners is less, that would mean that the place has a higher standard of living and the cost of living is higher. Hence if the inverse were to be true, then it would deter rich folks from living in the area, because like attracts like - rich folks tend to live in rich neighborhoods amidst other rich folks and form communities around them. So an **increase** in _LSTAT_ would lead to a **decrease** in _MEDV_\n", - "* **PTRATIO**: A higher ratio means that for each teacher, therea are more students to teach - it could be because there aren't enough educational institutions in the area. That could be an inconvenience to families who's family member is a student - they'd be forced to travel to institutions that are far away. So an **increase** in _PTRATIO_ would **decrease** the value of _MEDV_." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "----\n", - "\n", - "## Developing a Model\n", - "In this second section of the project, you will develop the tools and techniques necessary for a model to make a prediction. Being able to make accurate evaluations of each model's performance through the use of these tools and techniques helps to greatly reinforce the confidence in your predictions." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Define a Performance Metric\n", - "It is difficult to measure the quality of a given model without quantifying its performance over training and testing. This is typically done using some type of performance metric, whether it is through calculating some type of error, the goodness of fit, or some other useful measurement. For this project, you will be calculating the [*coefficient of determination*](http://stattrek.com/statistics/dictionary.aspx?definition=coefficient_of_determination), R2, to quantify your model's performance. The coefficient of determination for a model is a useful statistic in regression analysis, as it often describes how \"good\" that model is at making predictions. \n", - "\n", - "The values for R2 range from 0 to 1, which captures the percentage of squared correlation between the predicted and actual values of the **target variable**. A model with an R2 of 0 is no better than a model that always predicts the *mean* of the target variable, whereas a model with an R2 of 1 perfectly predicts the target variable. Any value between 0 and 1 indicates what percentage of the target variable, using this model, can be explained by the **features**. _A model can be given a negative R2 as well, which indicates that the model is **arbitrarily worse** than one that always predicts the mean of the target variable._\n", - "\n", - "For the `performance_metric` function in the code cell below, you will need to implement the following:\n", - "- Use `r2_score` from `sklearn.metrics` to perform a performance calculation between `y_true` and `y_predict`.\n", - "- Assign the performance score to the `score` variable." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "# TODO: Import 'r2_score'\n", - "from sklearn.metrics import r2_score\n", - "\n", - "def performance_metric(y_true, y_predict):\n", - " \"\"\" Calculates and returns the performance score between \n", - " true and predicted values based on the metric chosen. \"\"\"\n", - " \n", - " # TODO: Calculate the performance score between 'y_true' and 'y_predict'\n", - " score = r2_score(y_true, y_predict)\n", - "\n", - " # Return the score\n", - " return score" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 2 - Goodness of Fit\n", - "Assume that a dataset contains five data points and a model made the following predictions for the target variable:\n", - "\n", - "| True Value | Prediction |\n", - "| :-------------: | :--------: |\n", - "| 3.0 | 2.5 |\n", - "| -0.5 | 0.0 |\n", - "| 2.0 | 2.1 |\n", - "| 7.0 | 7.8 |\n", - "| 4.2 | 5.3 |\n", - "*Would you consider this model to have successfully captured the variation of the target variable? Why or why not?* \n", - "\n", - "Run the code cell below to use the `performance_metric` function and calculate this model's coefficient of determination." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model has a coefficient of determination, R^2, of 0.923.\n" - ] - } - ], - "source": [ - "# Calculate the performance of this model\n", - "score = performance_metric([3, -0.5, 2, 7, 4.2], [2.5, 0.0, 2.1, 7.8, 5.3])\n", - "print \"Model has a coefficient of determination, R^2, of {:.3f}.\".format(score)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer:** An _R2 score_ closer to 1 indicates an accurate prediction, and since this model is close quite close to 1, it's performance metric seems to be quite good." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Shuffle and Split Data\n", - "Your next implementation requires that you take the Boston housing dataset and split the data into training and testing subsets. Typically, the data is also shuffled into a random order when creating the training and testing subsets to remove any bias in the ordering of the dataset.\n", - "\n", - "For the code cell below, you will need to implement the following:\n", - "- Use `train_test_split` from `sklearn.cross_validation` to shuffle and split the `features` and `prices` data into training and testing sets.\n", - " - Split the data into 80% training and 20% testing.\n", - " - Set the `random_state` for `train_test_split` to a value of your choice. This ensures results are consistent.\n", - "- Assign the train and testing splits to `X_train`, `X_test`, `y_train`, and `y_test`." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Training and testing split was successful.\n" - ] - } - ], - "source": [ - "# TODO: Import 'train_test_split'\n", - "from sklearn.cross_validation import train_test_split\n", - "\n", - "# TODO: Shuffle and split the data into training and testing subsets\n", - "X_train, X_test, y_train, y_test = train_test_split(features, prices, test_size=0.2, random_state=0)\n", - "\n", - "# Success\n", - "print \"Training and testing split was successful.\"" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 3 - Training and Testing\n", - "*What is the benefit to splitting a dataset into some ratio of training and testing subsets for a learning algorithm?* \n", - "**Hint:** What could go wrong with not having a way to test your model?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: ** A learning curve needs to be able to do two things - to **learn** as much as it can from the given data, and to **generalize** well for unseen data. Hence by splitting a dataset into different ratios of training and testing subsets, we can analyze the performance of our model - more training points will mean more data for our learning algorithm to lean from, but we'll have fewer unseen data - we won't have a good idea of how well the algorithm can generalize. The inverse is also true.\n", - "\n", - "If we don't have a way to test our model then there's no way to analyze the model for _bias_ or _variance_. The only way to know is by testing our algorithm with unseen data-points and analyzing its performance against them." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "----\n", - "\n", - "## Analyzing Model Performance\n", - "In this third section of the project, you'll take a look at several models' learning and testing performances on various subsets of training data. Additionally, you'll investigate one particular algorithm with an increasing `'max_depth'` parameter on the full training set to observe how model complexity affects performance. Graphing your model's performance based on varying criteria can be beneficial in the analysis process, such as visualizing behavior that may not have been apparent from the results alone." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Learning Curves\n", - "The following code cell produces four graphs for a decision tree model with different maximum depths. Each graph visualizes the learning curves of the model for both training and testing as the size of the training set is increased. Note that the shaded region of a learning curve denotes the uncertainty of that curve (measured as the standard deviation). The model is scored on both the training and testing sets using R2, the coefficient of determination. \n", - "\n", - "Run the code cell below and use these graphs to answer the following question." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "collapsed": false, - "scrolled": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABKcAAALWCAYAAACTLvAjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkiRJkiRJI+PFKUmSJEmSJI3M220e3aPTLxcfAAAAAElFTkSuQmCC\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Produce learning curves for varying training set sizes and maximum depths\n", - "vs.ModelLearning(features, prices)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 4 - Learning the Data\n", - "*Choose one of the graphs above and state the maximum depth for the model. What happens to the score of the training curve as more training points are added? What about the testing curve? Would having more training points benefit the model?* \n", - "**Hint:** Are the learning curves converging to particular scores?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: **\n", - "\n", - "* **max_depth = 1**: In this graph, we see the training curve and the testing curves almost merge, but this isn't necessarily an indicator of good performance, as we can see that the _R2 scores_ for both the curves are pretty low. This could mean that our classifier suffers from a *high bias*, adding more training points isn't making it any better.\n", - "* **max_depth = 3**: Both the curves in this graph have high scores and they almost converge. This is a good fit for our classifier, and there's no need to add more training points, since that might not make much difference.\n", - "* **max_depth = 6**: The classifier seems to be trained well, but the training and testing curves don't seem to be converging. This seems to be a good fit too, but probably suffers from a slight variance. Adding more training points coould help it improve further.\n", - "* **max_depth = 10** the training curve has a good score but there's a large gap between the training curve and the tsting curve. This could indicate that the model suffers from a high variance. Adding more training points can help make the model better.\n", - "\n", - "Since both the curves plateau even when the number of training points cross 350, the model doesn't seem to be getting any better. So adding more points won't make the model significantly better at predicting unseen data." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Complexity Curves\n", - "The following code cell produces a graph for a decision tree model that has been trained and validated on the training data using different maximum depths. The graph produces two complexity curves — one for training and one for validation. Similar to the **learning curves**, the shaded regions of both the complexity curves denote the uncertainty in those curves, and the model is scored on both the training and validation sets using the `performance_metric` function. \n", - "\n", - "Run the code cell below and use this graph to answer the following two questions." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmsAAAHUCAYAAABlOG/ZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYUmWKCMAAAAASUVORK5CYII=\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "vs.ModelComplexity(X_train, y_train)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 5 - Bias-Variance Tradeoff\n", - "*When the model is trained with a maximum depth of 1, does the model suffer from high bias or from high variance? How about when the model is trained with a maximum depth of 10? What visual cues in the graph justify your conclusions?* \n", - "**Hint:** How do you know when a model is suffering from high bias or high variance?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: ** When the model is trained with maximum depth of 1, then it suffers from high bias. If it's trained with maximum depth of 10 then it suffers from high variance.\n", - "\n", - "High bias occurs when our model depends on more features than the ones that we have taken into consideration. This will result in a low R2 score.\n", - "\n", - "As we increase the maximum depth, we find that the training and validation curves are further and further apart, which indicates high variance. This might be because we're trying to overfit the model with too many features, some of which might not be necessary. We might also need more training data to help generalize the model better, so that the two curves converge at a relatively high score." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 6 - Best-Guess Optimal Model\n", - "*Which maximum depth do you think results in a model that best generalizes to unseen data? What intuition lead you to this answer?*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: ** A maximum depth of 3 seems to optimally generalize best to unseen data. As we can see from the graph, the increase in score for the training curve is proportional to the increase in score for the validation curve until the maximum depth value is 3. After which, the score of the validation curve does not increase in the same proportion as that of the training curve, which means that the variance is increasing." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "-----\n", - "\n", - "## Evaluating Model Performance\n", - "In this final section of the project, you will construct a model and make a prediction on the client's feature set using an optimized model from `fit_model`." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 7 - Grid Search\n", - "*What is the grid search technique and how it can be applied to optimize a learning algorithm?*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: ** For an algorithm that accepts a set of parameters, Grid Search builds different models by tuning the parameters to different values, and then cross validates the models to decide which combination of parameters (or tune) gives the best performance. These parameters are specified in a grid.\n", - "\n", - "It can be used to optimize a learning algorithm since it returns the best of a family of models, one that gives the most accurate predictions on the testing data." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 8 - Cross-Validation\n", - "*What is the k-fold cross-validation training technique? What benefit does this technique provide for grid search when optimizing a model?* \n", - "**Hint:** Much like the reasoning behind having a testing set, what could go wrong with using grid search without a cross-validated set?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: ** The k-fold technique splits our data-set into k sub-sets. One of the k subsets is used as the testing data, and the rest (k-1) subsets are used as the training data. The machine learning algorithm is trained with the training data-set and then tested for performance using the testing data-set.\n", - "This process is repeated k times, when each time a different subset is used as the testing data. Once this is done, the average performance is calculated from the results of the k experiments.\n", - "\n", - "In this way, our algorithm can use all the data for training, and all the data for testing too. This process takes a longer time, but it improves the accuracy of the grid search.\n", - "\n", - "This techique could help in eliminating bias, because we take into account the entire data-set. It aids grid search in making a more accurate prediction." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Fitting a Model\n", - "Your final implementation requires that you bring everything together and train a model using the **decision tree algorithm**. To ensure that you are producing an optimized model, you will train the model using the grid search technique to optimize the `'max_depth'` parameter for the decision tree. The `'max_depth'` parameter can be thought of as how many questions the decision tree algorithm is allowed to ask about the data before making a prediction. Decision trees are part of a class of algorithms called *supervised learning algorithms*.\n", - "\n", - "In addition, you will find your implementation is using `ShuffleSplit()` for an alternative form of cross-validation (see the `'cv_sets'` variable). While it is not the K-Fold cross-validation technique you describe in **Question 8**, this type of cross-validation technique is just as useful!. The `ShuffleSplit()` implementation below will create 10 (`'n_iter'`) shuffled sets, and for each shuffle, 20% (`'test_size'`) of the data will be used as the *validation set*. While you're working on your implementation, think about the contrasts and similarities it has to the K-fold cross-validation technique.\n", - "\n", - "For the `fit_model` function in the code cell below, you will need to implement the following:\n", - "- Use [`DecisionTreeRegressor`](http://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html) from `sklearn.tree` to create a decision tree regressor object.\n", - " - Assign this object to the `'regressor'` variable.\n", - "- Create a dictionary for `'max_depth'` with the values from 1 to 10, and assign this to the `'params'` variable.\n", - "- Use [`make_scorer`](http://scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html) from `sklearn.metrics` to create a scoring function object.\n", - " - Pass the `performance_metric` function as a parameter to the object.\n", - " - Assign this scoring function to the `'scoring_fnc'` variable.\n", - "- Use [`GridSearchCV`](http://scikit-learn.org/0.17/modules/generated/sklearn.grid_search.GridSearchCV.html) from `sklearn.grid_search` to create a grid search object.\n", - " - Pass the variables `'regressor'`, `'params'`, `'scoring_fnc'`, and `'cv_sets'` as parameters to the object. \n", - " - Assign the `GridSearchCV` object to the `'grid'` variable." - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "# TODO: Import 'make_scorer', 'DecisionTreeRegressor', and 'GridSearchCV'\n", - "from sklearn.metrics import make_scorer\n", - "from sklearn.tree import DecisionTreeRegressor\n", - "from sklearn.grid_search import GridSearchCV\n", - "\n", - "\n", - "def fit_model(X, y):\n", - " \"\"\" Performs grid search over the 'max_depth' parameter for a \n", - " decision tree regressor trained on the input data [X, y]. \"\"\"\n", - " \n", - " # Create cross-validation sets from the training data\n", - " cv_sets = ShuffleSplit(X.shape[0], n_iter = 10, test_size = 0.20, random_state = 0)\n", - "\n", - " # TODO: Create a decision tree regressor object\n", - " regressor = DecisionTreeRegressor()\n", - "\n", - " # TODO: Create a dictionary for the parameter 'max_depth' with a range from 1 to 10\n", - " params = {\n", - " 'max_depth': [1,2,3,4,5,6,7,8,9,10]\n", - " }\n", - "\n", - " # TODO: Transform 'performance_metric' into a scoring function using 'make_scorer' \n", - " scoring_fnc = make_scorer(performance_metric)\n", - "\n", - " # TODO: Create the grid search object\n", - " grid = GridSearchCV(regressor, params, scoring_fnc, cv=cv_sets)\n", - "\n", - " # Fit the grid search object to the data to compute the optimal model\n", - " grid = grid.fit(X, y)\n", - "\n", - " # Return the optimal model after fitting the data\n", - " return grid.best_estimator_" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Making Predictions\n", - "Once a model has been trained on a given set of data, it can now be used to make predictions on new sets of input data. In the case of a *decision tree regressor*, the model has learned *what the best questions to ask about the input data are*, and can respond with a prediction for the **target variable**. You can use these predictions to gain information about data where the value of the target variable is unknown — such as data the model was not trained on." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 9 - Optimal Model\n", - "_What maximum depth does the optimal model have? How does this result compare to your guess in **Question 6**?_ \n", - "\n", - "Run the code block below to fit the decision tree regressor to the training data and produce an optimal model." - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "collapsed": false, - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Parameter 'max_depth' is 4 for the optimal model.\n" - ] - } - ], - "source": [ - "# Fit the training data to the model using grid search\n", - "reg = fit_model(X_train, y_train)\n", - "\n", - "# Produce the value for 'max_depth'\n", - "print \"Parameter 'max_depth' is {} for the optimal model.\".format(reg.get_params()['max_depth'])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: ** The model predicts an optimum max_depth value of 4, as opposed to the guess made earlier in question 6, where I guessed that the optimum max_depth value could be 3." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 10 - Predicting Selling Prices\n", - "Imagine that you were a real estate agent in the Boston area looking to use this model to help price homes owned by your clients that they wish to sell. You have collected the following information from three of your clients:\n", - "\n", - "| Feature | Client 1 | Client 2 | Client 3 |\n", - "| :---: | :---: | :---: | :---: |\n", - "| Total number of rooms in home | 5 rooms | 4 rooms | 8 rooms |\n", - "| Neighborhood poverty level (as %) | 17% | 32% | 3% |\n", - "| Student-teacher ratio of nearby schools | 15-to-1 | 22-to-1 | 12-to-1 |\n", - "*What price would you recommend each client sell his/her home at? Do these prices seem reasonable given the values for the respective features?* \n", - "**Hint:** Use the statistics you calculated in the **Data Exploration** section to help justify your response. \n", - "\n", - "Run the code block below to have your optimized model make predictions for each client's home." - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Predicted selling price for Client 1's home: $391,183.33\n", - "Predicted selling price for Client 2's home: $189,123.53\n", - "Predicted selling price for Client 3's home: $942,666.67\n" - ] - } - ], - "source": [ - "# Produce a matrix for client data\n", - "client_data = [[5, 17, 15], # Client 1\n", - " [4, 32, 22], # Client 2\n", - " [8, 3, 12]] # Client 3\n", - "\n", - "# Show predictions\n", - "for i, price in enumerate(reg.predict(client_data)):\n", - " print \"Predicted selling price for Client {}'s home: ${:,.2f}\".format(i+1, price)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: ** The predicted prices for each of the houses seems perfectly reasonable.\n", - "\n", - "On comparing these prices with the minimum price and maximum price from the Boston housing data-set, we can understand that the predicted prices certainly aren't outliers.\n", - "\n", - "The average of these three prices is 507657.84, which seems close to the calculated mean of the entire Boston housing data-set $454342.94.\n", - "\n", - "Client 3 has a house that has more rooms than the other clients, has lesser poverty percentage level and has the least student-teacher ratio than the other houses, so naturally the predicted value of the house is higher than the rest.\n", - "\n", - "Client 2 on the other hand, has the least number of rooms, has the highest poverty percentage level and has the largest student-teacher ratio among the three clients, hence the predicted value of this house is the least of all.\n", - "\n", - "Client 1 has a house that has more rooms than Client 2 but lesser than Client 3. The house also seems to be in a better neighborhood and has better student-teacher ratio than that of Client 2, but not as good as that of Client 3. So the predicted value of this house is greater than Client 2's, but lesser than Client 3's. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Sensitivity\n", - "An optimal model is not necessarily a robust model. Sometimes, a model is either too complex or too simple to sufficiently generalize to new data. Sometimes, a model could use a learning algorithm that is not appropriate for the structure of the data given. Other times, the data itself could be too noisy or contain too few samples to allow a model to adequately capture the target variable — i.e., the model is underfitted. Run the code cell below to run the `fit_model` function ten times with different training and testing sets to see how the prediction for a specific client changes with the data it's trained on." - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Trial 1: $391,183.33\n", - "Trial 2: $419,700.00\n", - "Trial 3: $415,800.00\n", - "Trial 4: $420,622.22\n", - "Trial 5: $413,334.78\n", - "Trial 6: $411,931.58\n", - "Trial 7: $399,663.16\n", - "Trial 8: $407,232.00\n", - "Trial 9: $351,577.61\n", - "Trial 10: $413,700.00\n", - "\n", - "Range in prices: $69,044.61\n" - ] - } - ], - "source": [ - "vs.PredictTrials(features, prices, fit_model, client_data)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 11 - Applicability\n", - "*In a few sentences, discuss whether the constructed model should or should not be used in a real-world setting.* \n", - "**Hint:** Some questions to answering:\n", - "- *How relevant today is data that was collected from 1978?*\n", - "- *Are the features present in the data sufficient to describe a home?*\n", - "- *Is the model robust enough to make consistent predictions?*\n", - "- *Would data collected in an urban city like Boston be applicable in a rural city?*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: ** The range in prices is high, so it needs to be more consistent with it's predictions.\n", - "\n", - "We might be ignoring some not so obvious but important features - for example employment opportunities in the neighborhood, age of the house, crime rates, health-care facilities etc. The features present in the data-set are good ,but they might not be enough to describe a home.\n", - "\n", - "The model is not making consistent predictions, looks like it flutuates a bit - judging from th range in priec predictions\n", - "\n", - "\n", - "Some of the featues might not be applicable in a rural city, for example - poverty level might not be aa important a factor as for people in urban areas (most people have a very simple way of life in rural areas)." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "> **Note**: Once you have completed all of the code implementations and successfully answered each question above, you may finalize your work by exporting the iPython Notebook as an HTML document. You can do this by using the menu above and navigating to \n", - "**File -> Download as -> HTML (.html)**. Include the finished document along with this notebook as your submission." - ] - } - ], - "metadata": { - "anaconda-cloud": {}, - "kernelspec": { - "display_name": "Python [default]", - "language": "python", - "name": "python2" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 2 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.12" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} diff --git a/boston_housing/housing.csv b/boston_housing/housing.csv deleted file mode 100755 index 9b9116f..0000000 --- a/boston_housing/housing.csv +++ /dev/null @@ -1,490 +0,0 @@ -RM,LSTAT,PTRATIO,MEDV -6.575,4.98,15.3,504000.0 -6.421,9.14,17.8,453600.0 -7.185,4.03,17.8,728700.0 -6.998,2.94,18.7,701400.0 -7.147,5.33,18.7,760200.0 -6.43,5.21,18.7,602700.0 -6.012,12.43,15.2,480900.0 -6.172,19.15,15.2,569100.0 -5.631,29.93,15.2,346500.0 -6.004,17.1,15.2,396900.0 -6.377,20.45,15.2,315000.0 -6.009,13.27,15.2,396900.0 -5.889,15.71,15.2,455700.0 -5.949,8.26,21.0,428400.0 -6.096,10.26,21.0,382200.0 -5.834,8.47,21.0,417900.0 -5.935,6.58,21.0,485100.0 -5.99,14.67,21.0,367500.0 -5.456,11.69,21.0,424200.0 -5.727,11.28,21.0,382200.0 -5.57,21.02,21.0,285600.0 -5.965,13.83,21.0,411600.0 -6.142,18.72,21.0,319200.0 -5.813,19.88,21.0,304500.0 -5.924,16.3,21.0,327600.0 -5.599,16.51,21.0,291900.0 -5.813,14.81,21.0,348600.0 -6.047,17.28,21.0,310800.0 -6.495,12.8,21.0,386400.0 -6.674,11.98,21.0,441000.0 -5.713,22.6,21.0,266700.0 -6.072,13.04,21.0,304500.0 -5.95,27.71,21.0,277200.0 -5.701,18.35,21.0,275100.0 -6.096,20.34,21.0,283500.0 -5.933,9.68,19.2,396900.0 -5.841,11.41,19.2,420000.0 -5.85,8.77,19.2,441000.0 -5.966,10.13,19.2,518700.0 -6.595,4.32,18.3,646800.0 -7.024,1.98,18.3,732900.0 -6.77,4.84,17.9,558600.0 -6.169,5.81,17.9,531300.0 -6.211,7.44,17.9,518700.0 -6.069,9.55,17.9,445200.0 -5.682,10.21,17.9,405300.0 -5.786,14.15,17.9,420000.0 -6.03,18.8,17.9,348600.0 -5.399,30.81,17.9,302400.0 -5.602,16.2,17.9,407400.0 -5.963,13.45,16.8,413700.0 -6.115,9.43,16.8,430500.0 -6.511,5.28,16.8,525000.0 -5.998,8.43,16.8,491400.0 -5.888,14.8,21.1,396900.0 -7.249,4.81,17.9,743400.0 -6.383,5.77,17.3,518700.0 -6.816,3.95,15.1,663600.0 -6.145,6.86,19.7,489300.0 -5.927,9.22,19.7,411600.0 -5.741,13.15,19.7,392700.0 -5.966,14.44,19.7,336000.0 -6.456,6.73,19.7,466200.0 -6.762,9.5,19.7,525000.0 -7.104,8.05,18.6,693000.0 -6.29,4.67,16.1,493500.0 -5.787,10.24,16.1,407400.0 -5.878,8.1,18.9,462000.0 -5.594,13.09,18.9,365400.0 -5.885,8.79,18.9,438900.0 -6.417,6.72,19.2,508200.0 -5.961,9.88,19.2,455700.0 -6.065,5.52,19.2,478800.0 -6.245,7.54,19.2,491400.0 -6.273,6.78,18.7,506100.0 -6.286,8.94,18.7,449400.0 -6.279,11.97,18.7,420000.0 -6.14,10.27,18.7,436800.0 -6.232,12.34,18.7,445200.0 -5.874,9.1,18.7,426300.0 -6.727,5.29,19.0,588000.0 -6.619,7.22,19.0,501900.0 -6.302,6.72,19.0,520800.0 -6.167,7.51,19.0,480900.0 -6.389,9.62,18.5,501900.0 -6.63,6.53,18.5,558600.0 -6.015,12.86,18.5,472500.0 -6.121,8.44,18.5,466200.0 -7.007,5.5,17.8,495600.0 -7.079,5.7,17.8,602700.0 -6.417,8.81,17.8,474600.0 -6.405,8.2,17.8,462000.0 -6.442,8.16,18.2,480900.0 -6.211,6.21,18.2,525000.0 -6.249,10.59,18.2,432600.0 -6.625,6.65,18.0,596400.0 -6.163,11.34,18.0,449400.0 -8.069,4.21,18.0,812700.0 -7.82,3.57,18.0,919800.0 -7.416,6.19,18.0,697200.0 -6.727,9.42,20.9,577500.0 -6.781,7.67,20.9,556500.0 -6.405,10.63,20.9,390600.0 -6.137,13.44,20.9,405300.0 -6.167,12.33,20.9,422100.0 -5.851,16.47,20.9,409500.0 -5.836,18.66,20.9,409500.0 -6.127,14.09,20.9,428400.0 -6.474,12.27,20.9,415800.0 -6.229,15.55,20.9,407400.0 -6.195,13.0,20.9,455700.0 -6.715,10.16,17.8,478800.0 -5.913,16.21,17.8,394800.0 -6.092,17.09,17.8,392700.0 -6.254,10.45,17.8,388500.0 -5.928,15.76,17.8,384300.0 -6.176,12.04,17.8,445200.0 -6.021,10.3,17.8,403200.0 -5.872,15.37,17.8,428400.0 -5.731,13.61,17.8,405300.0 -5.87,14.37,19.1,462000.0 -6.004,14.27,19.1,426300.0 -5.961,17.93,19.1,430500.0 -5.856,25.41,19.1,363300.0 -5.879,17.58,19.1,394800.0 -5.986,14.81,19.1,449400.0 -5.613,27.26,19.1,329700.0 -5.693,17.19,21.2,340200.0 -6.431,15.39,21.2,378000.0 -5.637,18.34,21.2,300300.0 -6.458,12.6,21.2,403200.0 -6.326,12.26,21.2,411600.0 -6.372,11.12,21.2,483000.0 -5.822,15.03,21.2,386400.0 -5.757,17.31,21.2,327600.0 -6.335,16.96,21.2,380100.0 -5.942,16.9,21.2,365400.0 -6.454,14.59,21.2,359100.0 -5.857,21.32,21.2,279300.0 -6.151,18.46,21.2,373800.0 -6.174,24.16,21.2,294000.0 -5.019,34.41,21.2,302400.0 -5.403,26.82,14.7,281400.0 -5.468,26.42,14.7,327600.0 -4.903,29.29,14.7,247800.0 -6.13,27.8,14.7,289800.0 -5.628,16.65,14.7,327600.0 -4.926,29.53,14.7,306600.0 -5.186,28.32,14.7,373800.0 -5.597,21.45,14.7,323400.0 -6.122,14.1,14.7,451500.0 -5.404,13.28,14.7,411600.0 -5.012,12.12,14.7,321300.0 -5.709,15.79,14.7,407400.0 -6.129,15.12,14.7,357000.0 -6.152,15.02,14.7,327600.0 -5.272,16.14,14.7,275100.0 -6.943,4.59,14.7,867300.0 -6.066,6.43,14.7,510300.0 -6.51,7.39,14.7,489300.0 -6.25,5.5,14.7,567000.0 -5.854,11.64,14.7,476700.0 -6.101,9.81,14.7,525000.0 -5.877,12.14,14.7,499800.0 -6.319,11.1,14.7,499800.0 -6.402,11.32,14.7,468300.0 -5.875,14.43,14.7,365400.0 -5.88,12.03,14.7,401100.0 -5.572,14.69,16.6,485100.0 -6.416,9.04,16.6,495600.0 -5.859,9.64,16.6,474600.0 -6.546,5.33,16.6,617400.0 -6.02,10.11,16.6,487200.0 -6.315,6.29,16.6,516600.0 -6.86,6.92,16.6,627900.0 -6.98,5.04,17.8,781200.0 -7.765,7.56,17.8,835800.0 -6.144,9.45,17.8,760200.0 -7.155,4.82,17.8,795900.0 -6.563,5.68,17.8,682500.0 -5.604,13.98,17.8,554400.0 -6.153,13.15,17.8,621600.0 -6.782,6.68,15.2,672000.0 -6.556,4.56,15.2,625800.0 -7.185,5.39,15.2,732900.0 -6.951,5.1,15.2,777000.0 -6.739,4.69,15.2,640500.0 -7.178,2.87,15.2,764400.0 -6.8,5.03,15.6,653100.0 -6.604,4.38,15.6,611100.0 -7.287,4.08,12.6,699300.0 -7.107,8.61,12.6,636300.0 -7.274,6.62,12.6,726600.0 -6.975,4.56,17.0,732900.0 -7.135,4.45,17.0,690900.0 -6.162,7.43,14.7,506100.0 -7.61,3.11,14.7,888300.0 -7.853,3.81,14.7,1018500.0 -5.891,10.87,18.6,474600.0 -6.326,10.97,18.6,512400.0 -5.783,18.06,18.6,472500.0 -6.064,14.66,18.6,512400.0 -5.344,23.09,18.6,420000.0 -5.96,17.27,18.6,455700.0 -5.404,23.98,18.6,405300.0 -5.807,16.03,18.6,470400.0 -6.375,9.38,18.6,590100.0 -5.412,29.55,18.6,497700.0 -6.182,9.47,18.6,525000.0 -5.888,13.51,16.4,489300.0 -6.642,9.69,16.4,602700.0 -5.951,17.92,16.4,451500.0 -6.373,10.5,16.4,483000.0 -6.951,9.71,17.4,560700.0 -6.164,21.46,17.4,455700.0 -6.879,9.93,17.4,577500.0 -6.618,7.6,17.4,632100.0 -8.266,4.14,17.4,940800.0 -8.04,3.13,17.4,789600.0 -7.163,6.36,17.4,663600.0 -7.686,3.92,17.4,980700.0 -6.552,3.76,17.4,661500.0 -5.981,11.65,17.4,510300.0 -7.412,5.25,17.4,665700.0 -8.337,2.47,17.4,875700.0 -8.247,3.95,17.4,1014300.0 -6.726,8.05,17.4,609000.0 -6.086,10.88,17.4,504000.0 -6.631,9.54,17.4,527100.0 -7.358,4.73,17.4,661500.0 -6.481,6.36,16.6,497700.0 -6.606,7.37,16.6,489300.0 -6.897,11.38,16.6,462000.0 -6.095,12.4,16.6,422100.0 -6.358,11.22,16.6,466200.0 -6.393,5.19,16.6,497700.0 -5.593,12.5,19.1,369600.0 -5.605,18.46,19.1,388500.0 -6.108,9.16,19.1,510300.0 -6.226,10.15,19.1,430500.0 -6.433,9.52,19.1,514500.0 -6.718,6.56,19.1,550200.0 -6.487,5.9,19.1,512400.0 -6.438,3.59,19.1,520800.0 -6.957,3.53,19.1,621600.0 -8.259,3.54,19.1,898800.0 -6.108,6.57,16.4,459900.0 -5.876,9.25,16.4,438900.0 -7.454,3.11,15.9,924000.0 -7.333,7.79,13.0,756000.0 -6.842,6.9,13.0,632100.0 -7.203,9.59,13.0,709800.0 -7.52,7.26,13.0,905100.0 -8.398,5.91,13.0,1024800.0 -7.327,11.25,13.0,651000.0 -7.206,8.1,13.0,766500.0 -5.56,10.45,13.0,478800.0 -7.014,14.79,13.0,644700.0 -7.47,3.16,13.0,913500.0 -5.92,13.65,18.6,434700.0 -5.856,13.0,18.6,443100.0 -6.24,6.59,18.6,529200.0 -6.538,7.73,18.6,512400.0 -7.691,6.58,18.6,739200.0 -6.758,3.53,17.6,680400.0 -6.854,2.98,17.6,672000.0 -7.267,6.05,17.6,697200.0 -6.826,4.16,17.6,695100.0 -6.482,7.19,17.6,611100.0 -6.812,4.85,14.9,737100.0 -7.82,3.76,14.9,953400.0 -6.968,4.59,14.9,743400.0 -7.645,3.01,14.9,966000.0 -7.088,7.85,15.3,676200.0 -6.453,8.23,15.3,462000.0 -6.23,12.93,18.2,422100.0 -6.209,7.14,16.6,487200.0 -6.315,7.6,16.6,468300.0 -6.565,9.51,16.6,520800.0 -6.861,3.33,19.2,598500.0 -7.148,3.56,19.2,783300.0 -6.63,4.7,19.2,585900.0 -6.127,8.58,16.0,501900.0 -6.009,10.4,16.0,455700.0 -6.678,6.27,16.0,600600.0 -6.549,7.39,16.0,569100.0 -5.79,15.84,16.0,426300.0 -6.345,4.97,14.8,472500.0 -7.041,4.74,14.8,609000.0 -6.871,6.07,14.8,520800.0 -6.59,9.5,16.1,462000.0 -6.495,8.67,16.1,554400.0 -6.982,4.86,16.1,695100.0 -7.236,6.93,18.4,758100.0 -6.616,8.93,18.4,596400.0 -7.42,6.47,18.4,701400.0 -6.849,7.53,18.4,592200.0 -6.635,4.54,18.4,478800.0 -5.972,9.97,18.4,426300.0 -4.973,12.64,18.4,338100.0 -6.122,5.98,18.4,464100.0 -6.023,11.72,18.4,407400.0 -6.266,7.9,18.4,453600.0 -6.567,9.28,18.4,499800.0 -5.705,11.5,18.4,340200.0 -5.914,18.33,18.4,373800.0 -5.782,15.94,18.4,415800.0 -6.382,10.36,18.4,485100.0 -6.113,12.73,18.4,441000.0 -6.426,7.2,19.6,499800.0 -6.376,6.87,19.6,485100.0 -6.041,7.7,19.6,428400.0 -5.708,11.74,19.6,388500.0 -6.415,6.12,19.6,525000.0 -6.431,5.08,19.6,516600.0 -6.312,6.15,19.6,483000.0 -6.083,12.79,19.6,466200.0 -5.868,9.97,16.9,405300.0 -6.333,7.34,16.9,474600.0 -6.144,9.09,16.9,415800.0 -5.706,12.43,16.9,359100.0 -6.031,7.83,16.9,407400.0 -6.316,5.68,20.2,466200.0 -6.31,6.75,20.2,434700.0 -6.037,8.01,20.2,443100.0 -5.869,9.8,20.2,409500.0 -5.895,10.56,20.2,388500.0 -6.059,8.51,20.2,432600.0 -5.985,9.74,20.2,399000.0 -5.968,9.29,20.2,392700.0 -7.241,5.49,15.5,686700.0 -6.54,8.65,15.9,346500.0 -6.696,7.18,17.6,501900.0 -6.874,4.61,17.6,655200.0 -6.014,10.53,18.8,367500.0 -5.898,12.67,18.8,361200.0 -6.516,6.36,17.9,485100.0 -6.635,5.99,17.0,514500.0 -6.939,5.89,19.7,558600.0 -6.49,5.98,19.7,480900.0 -6.579,5.49,18.3,506100.0 -5.884,7.79,18.3,390600.0 -6.728,4.5,17.0,632100.0 -5.663,8.05,22.0,382200.0 -5.936,5.57,22.0,432600.0 -6.212,17.6,20.2,373800.0 -6.395,13.27,20.2,455700.0 -6.127,11.48,20.2,476700.0 -6.112,12.67,20.2,474600.0 -6.398,7.79,20.2,525000.0 -6.251,14.19,20.2,417900.0 -5.362,10.19,20.2,436800.0 -5.803,14.64,20.2,352800.0 -3.561,7.12,20.2,577500.0 -4.963,14.0,20.2,459900.0 -3.863,13.33,20.2,485100.0 -4.906,34.77,20.2,289800.0 -4.138,37.97,20.2,289800.0 -7.313,13.44,20.2,315000.0 -6.649,23.24,20.2,291900.0 -6.794,21.24,20.2,279300.0 -6.38,23.69,20.2,275100.0 -6.223,21.78,20.2,214200.0 -6.968,17.21,20.2,218400.0 -6.545,21.08,20.2,228900.0 -5.536,23.6,20.2,237300.0 -5.52,24.56,20.2,258300.0 -4.368,30.63,20.2,184800.0 -5.277,30.81,20.2,151200.0 -4.652,28.28,20.2,220500.0 -5.0,31.99,20.2,155400.0 -4.88,30.62,20.2,214200.0 -5.39,20.85,20.2,241500.0 -5.713,17.11,20.2,317100.0 -6.051,18.76,20.2,487200.0 -5.036,25.68,20.2,203700.0 -6.193,15.17,20.2,289800.0 -5.887,16.35,20.2,266700.0 -6.471,17.12,20.2,275100.0 -6.405,19.37,20.2,262500.0 -5.747,19.92,20.2,178500.0 -5.453,30.59,20.2,105000.0 -5.852,29.97,20.2,132300.0 -5.987,26.77,20.2,117600.0 -6.343,20.32,20.2,151200.0 -6.404,20.31,20.2,254100.0 -5.349,19.77,20.2,174300.0 -5.531,27.38,20.2,178500.0 -5.683,22.98,20.2,105000.0 -4.138,23.34,20.2,249900.0 -5.608,12.13,20.2,585900.0 -5.617,26.4,20.2,361200.0 -6.852,19.78,20.2,577500.0 -5.757,10.11,20.2,315000.0 -6.657,21.22,20.2,361200.0 -4.628,34.37,20.2,375900.0 -5.155,20.08,20.2,342300.0 -4.519,36.98,20.2,147000.0 -6.434,29.05,20.2,151200.0 -6.782,25.79,20.2,157500.0 -5.304,26.64,20.2,218400.0 -5.957,20.62,20.2,184800.0 -6.824,22.74,20.2,176400.0 -6.411,15.02,20.2,350700.0 -6.006,15.7,20.2,298200.0 -5.648,14.1,20.2,436800.0 -6.103,23.29,20.2,281400.0 -5.565,17.16,20.2,245700.0 -5.896,24.39,20.2,174300.0 -5.837,15.69,20.2,214200.0 -6.202,14.52,20.2,228900.0 -6.193,21.52,20.2,231000.0 -6.38,24.08,20.2,199500.0 -6.348,17.64,20.2,304500.0 -6.833,19.69,20.2,296100.0 -6.425,12.03,20.2,338100.0 -6.436,16.22,20.2,300300.0 -6.208,15.17,20.2,245700.0 -6.629,23.27,20.2,281400.0 -6.461,18.05,20.2,201600.0 -6.152,26.45,20.2,182700.0 -5.935,34.02,20.2,176400.0 -5.627,22.88,20.2,268800.0 -5.818,22.11,20.2,220500.0 -6.406,19.52,20.2,359100.0 -6.219,16.59,20.2,386400.0 -6.485,18.85,20.2,323400.0 -5.854,23.79,20.2,226800.0 -6.459,23.98,20.2,247800.0 -6.341,17.79,20.2,312900.0 -6.251,16.44,20.2,264600.0 -6.185,18.13,20.2,296100.0 -6.417,19.31,20.2,273000.0 -6.749,17.44,20.2,281400.0 -6.655,17.73,20.2,319200.0 -6.297,17.27,20.2,338100.0 -7.393,16.74,20.2,373800.0 -6.728,18.71,20.2,312900.0 -6.525,18.13,20.2,296100.0 -5.976,19.01,20.2,266700.0 -5.936,16.94,20.2,283500.0 -6.301,16.23,20.2,312900.0 -6.081,14.7,20.2,420000.0 -6.701,16.42,20.2,344400.0 -6.376,14.65,20.2,371700.0 -6.317,13.99,20.2,409500.0 -6.513,10.29,20.2,424200.0 -6.209,13.22,20.2,449400.0 -5.759,14.13,20.2,417900.0 -5.952,17.15,20.2,399000.0 -6.003,21.32,20.2,401100.0 -5.926,18.13,20.2,401100.0 -5.713,14.76,20.2,422100.0 -6.167,16.29,20.2,417900.0 -6.229,12.87,20.2,411600.0 -6.437,14.36,20.2,487200.0 -6.98,11.66,20.2,625800.0 -5.427,18.14,20.2,289800.0 -6.162,24.1,20.2,279300.0 -6.484,18.68,20.2,350700.0 -5.304,24.91,20.2,252000.0 -6.185,18.03,20.2,306600.0 -6.229,13.11,20.2,449400.0 -6.242,10.74,20.2,483000.0 -6.75,7.74,20.2,497700.0 -7.061,7.01,20.2,525000.0 -5.762,10.42,20.2,457800.0 -5.871,13.34,20.2,432600.0 -6.312,10.58,20.2,445200.0 -6.114,14.98,20.2,401100.0 -5.905,11.45,20.2,432600.0 -5.454,18.06,20.1,319200.0 -5.414,23.97,20.1,147000.0 -5.093,29.68,20.1,170100.0 -5.983,18.07,20.1,285600.0 -5.983,13.35,20.1,422100.0 -5.707,12.01,19.2,457800.0 -5.926,13.59,19.2,514500.0 -5.67,17.6,19.2,485100.0 -5.39,21.14,19.2,413700.0 -5.794,14.1,19.2,384300.0 -6.019,12.92,19.2,445200.0 -5.569,15.1,19.2,367500.0 -6.027,14.33,19.2,352800.0 -6.593,9.67,21.0,470400.0 -6.12,9.08,21.0,432600.0 -6.976,5.64,21.0,501900.0 -6.794,6.48,21.0,462000.0 -6.03,7.88,21.0,249900.0 diff --git a/boston_housing/project_description.md b/boston_housing/project_description.md deleted file mode 100755 index a55eed5..0000000 --- a/boston_housing/project_description.md +++ /dev/null @@ -1,63 +0,0 @@ -# Content: Model Evaluation and Validation -## Project: Predicting Boston Housing Prices - -## Project Overview -In this project, you will apply basic machine learning concepts on data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home. You will first explore the data to obtain important features and descriptive statistics about the dataset. Next, you will properly split the data into testing and training subsets, and determine a suitable performance metric for this problem. You will then analyze performance graphs for a learning algorithm with varying parameters and training set sizes. This will enable you to pick the optimal model that best generalizes for unseen data. Finally, you will test this optimal model on a new sample and compare the predicted selling price to your statistics. - -## Project Highlights -This project is designed to get you acquainted to working with datasets in Python and applying basic machine learning techniques using NumPy and Scikit-Learn. Before being expected to use many of the available algorithms in the sklearn library, it will be helpful to first practice analyzing and interpreting the performance of your model. - -Things you will learn by completing this project: - -- How to use NumPy to investigate the latent features of a dataset. -- How to analyze various learning performance plots for variance and bias. -- How to determine the best-guess model for predictions from unseen data. -- How to evaluate a model's performance on unseen data using previous data. - -## Description -The Boston housing market is highly competitive, and you want to be the best real estate agent in the area. To compete with your peers, you decide to leverage a few basic machine learning concepts to assist you and a client with finding the best selling price for their home. Luckily, you\'ve come across the Boston Housing dataset which contains aggregated data on various features for houses in Greater Boston communities, including the median value of homes for each of those areas. Your task is to build an optimal model based on a statistical analysis with the tools available. This model will then be used to estimate the best selling price for your clients\' homes. - -## Software and Libraries -This project uses the following software and Python libraries: - -- [Python 2.7](https://www.python.org/download/releases/2.7/) -- [NumPy](http://www.numpy.org/) -- [pandas](http://pandas.pydata.org/) -- [scikit-learn](http://scikit-learn.org/stable/) -- [matplotlib](http://matplotlib.org/) - -You will also need to have software installed to run and execute a [Jupyter Notebook](http://ipython.org/notebook.html). - -If you do not have Python installed yet, it is highly recommended that you install the [Anaconda](http://continuum.io/downloads) distribution of Python, which already has the above packages and more included. Make sure that you select the Python 2.7 installer and not the Python 3.x installer. - -## Starting the Project - -For this assignment, you can find the `boston_housing` folder containing the necessary project files on the [Machine Learning projects GitHub](https://github.com/udacity/machine-learning), under the `projects` folder. You may download all of the files for projects we'll use in this Nanodegree program directly from this repo. Please make sure that you use the most recent version of project files when completing a project! - -This project contains three files: - -- `boston_housing.ipynb`: This is the main file where you will be performing your work on the project. -- `housing.csv`: The project dataset. You'll load this data in the notebook. -- `visuals.py`: This Python script provides supplementary visualizations for the project. Do not modify. - -In the Terminal or Command Prompt, navigate to the folder containing the project files, and then use the command `jupyter notebook boston_housing.ipynb` to open up a browser window or tab to work with your notebook. Alternatively, you can use the command `jupyter notebook` or `ipython notebook` and navigate to the notebook file in the browser window that opens. Follow the instructions in the notebook and answer each question presented to successfully complete the project. A **README** file has also been provided with the project files which may contain additional necessary information or instruction for the project. - -## Submitting the Project - -### Evaluation -Your project will be reviewed by a Udacity reviewer against the **Predicting Boston Housing Prices project rubric**. Be sure to review this rubric thoroughly and self-evaluate your project before submission. All criteria found in the rubric must be *meeting specifications* for you to pass. - -### Submission Files -When you are ready to submit your project, collect the following files and compress them into a single archive for upload. Alternatively, you may supply the following files on your GitHub Repo in a folder named `boston_housing` for ease of access: - - The `boston_housing.ipynb` notebook file with all questions answered and all code cells executed and displaying output. - - An **HTML** export of the project notebook with the name **report.html**. This file *must* be present for your project to be evaluated. - -Once you have collected these files and reviewed the project rubric, proceed to the project submission page. - -### I'm Ready! -When you're ready to submit your project, click on the **Submit Project** button at the bottom of the page. - -If you are having any problems submitting your project or wish to check on the status of your submission, please email us at **machine-support@udacity.com** or visit us in the discussion forums. - -### What's Next? -You will get an email as soon as your reviewer has feedback for you. In the meantime, review your next project and feel free to get started on it or the courses supporting it! diff --git a/boston_housing/report.html b/boston_housing/report.html deleted file mode 100755 index a5cfd58..0000000 --- a/boston_housing/report.html +++ /dev/null @@ -1,14981 +0,0 @@ - - - -boston_housing - - - - - - - - - - - - - - - - - - - - - -
-
- -
-
-
-
-
-

Machine Learning Engineer Nanodegree

Model Evaluation & Validation

Project: Predicting Boston Housing Prices

Welcome to the first project of the Machine Learning Engineer Nanodegree! In this notebook, some template code has already been provided for you, and you will need to implement additional functionality to successfully complete this project. You will not need to modify the included code beyond what is requested. Sections that begin with 'Implementation' in the header indicate that the following block of code will require additional functionality which you must provide. Instructions will be provided for each section and the specifics of the implementation are marked in the code block with a 'TODO' statement. Please be sure to read the instructions carefully!

-

In addition to implementing code, there will be questions that you must answer which relate to the project and your implementation. Each section where you will answer a question is preceded by a 'Question X' header. Carefully read each question and provide thorough answers in the following text boxes that begin with 'Answer:'. Your project submission will be evaluated based on your answers to each of the questions and the implementation you provide.

-

Note: Code and Markdown cells can be executed using the Shift + Enter keyboard shortcut. In addition, Markdown cells can be edited by typically double-clicking the cell to enter edit mode.

-
- -
-
-
-
-
-
-
-
-

Getting Started

In this project, you will evaluate the performance and predictive power of a model that has been trained and tested on data collected from homes in suburbs of Boston, Massachusetts. A model trained on this data that is seen as a good fit could then be used to make certain predictions about a home — in particular, its monetary value. This model would prove to be invaluable for someone like a real estate agent who could make use of such information on a daily basis.

-

The dataset for this project originates from the UCI Machine Learning Repository. The Boston housing data was collected in 1978 and each of the 506 entries represent aggregated data about 14 features for homes from various suburbs in Boston, Massachusetts. For the purposes of this project, the following preprocessing steps have been made to the dataset:

-
    -
  • 16 data points have an 'MEDV' value of 50.0. These data points likely contain missing or censored values and have been removed.
  • -
  • 1 data point has an 'RM' value of 8.78. This data point can be considered an outlier and has been removed.
  • -
  • The features 'RM', 'LSTAT', 'PTRATIO', and 'MEDV' are essential. The remaining non-relevant features have been excluded.
  • -
  • The feature 'MEDV' has been multiplicatively scaled to account for 35 years of market inflation.
  • -
-

Run the code cell below to load the Boston housing dataset, along with a few of the necessary Python libraries required for this project. You will know the dataset loaded successfully if the size of the dataset is reported.

- -
-
-
-
-
-
In [1]:
-
-
-
# Import libraries necessary for this project
-import numpy as np
-import pandas as pd
-from sklearn.cross_validation import ShuffleSplit
-
-# Import supplementary visualizations code visuals.py
-import visuals as vs
-
-# Pretty display for notebooks
-%matplotlib inline
-
-# Load the Boston housing dataset
-data = pd.read_csv('housing.csv')
-prices = data['MEDV']
-features = data.drop('MEDV', axis = 1)
-    
-# Success
-print "Boston housing dataset has {} data points with {} variables each.".format(*data.shape)
-
- -
-
-
- -
-
- - -
-
-
Boston housing dataset has 489 data points with 4 variables each.
-
-
-
- -
-
- -
-
-
-
-
-
-

Data Exploration

In this first section of this project, you will make a cursory investigation about the Boston housing data and provide your observations. Familiarizing yourself with the data through an explorative process is a fundamental practice to help you better understand and justify your results.

-

Since the main goal of this project is to construct a working model which has the capability of predicting the value of houses, we will need to separate the dataset into features and the target variable. The features, 'RM', 'LSTAT', and 'PTRATIO', give us quantitative information about each data point. The target variable, 'MEDV', will be the variable we seek to predict. These are stored in features and prices, respectively.

- -
-
-
-
-
-
-
-
-

Implementation: Calculate Statistics

For your very first coding implementation, you will calculate descriptive statistics about the Boston housing prices. Since numpy has already been imported for you, use this library to perform the necessary calculations. These statistics will be extremely important later on to analyze various prediction results from the constructed model.

-

In the code cell below, you will need to implement the following:

-
    -
  • Calculate the minimum, maximum, mean, median, and standard deviation of 'MEDV', which is stored in prices.
      -
    • Store each calculation in their respective variable.
    • -
    -
  • -
- -
-
-
-
-
-
In [8]:
-
-
-
prices = data['MEDV']
-
-# TODO: Minimum price of the data
-minimum_price = np.amin(prices)
-print minimum_price
-
-# TODO: Maximum price of the data
-maximum_price = np.amax(prices)
-print maximum_price
-
-# TODO: Mean price of the data
-mean_price = np.mean(prices)
-
-# TODO: Median price of the data
-median_price = np.median(prices)
-
-# TODO: Standard deviation of prices of the data
-std_price = np.std(prices)
-
-# Show the calculated statistics
-print "Statistics for Boston housing dataset:\n"
-print "Minimum price: ${:,.2f}".format(minimum_price)
-print "Maximum price: ${:,.2f}".format(maximum_price)
-print "Mean price: ${:,.2f}".format(mean_price)
-print "Median price ${:,.2f}".format(median_price)
-print "Standard deviation of prices: ${:,.2f}".format(std_price)
-
- -
-
-
- -
-
- - -
-
-
105000.0
-1024800.0
-Statistics for Boston housing dataset:
-
-Minimum price: $105,000.00
-Maximum price: $1,024,800.00
-Mean price: $454,342.94
-Median price $438,900.00
-Standard deviation of prices: $165,171.13
-
-
-
- -
-
- -
-
-
-
-
-
-

Question 1 - Feature Observation

As a reminder, we are using three features from the Boston housing dataset: 'RM', 'LSTAT', and 'PTRATIO'. For each data point (neighborhood):

-
    -
  • 'RM' is the average number of rooms among homes in the neighborhood.
  • -
  • 'LSTAT' is the percentage of homeowners in the neighborhood considered "lower class" (working poor).
  • -
  • 'PTRATIO' is the ratio of students to teachers in primary and secondary schools in the neighborhood.
  • -
-

Using your intuition, for each of the three features above, do you think that an increase in the value of that feature would lead to an increase in the value of 'MEDV' or a decrease in the value of 'MEDV'? Justify your answer for each.
-Hint: Would you expect a home that has an 'RM' value of 6 be worth more or less than a home that has an 'RM' value of 7?

- -
-
-
-
-
-
-
-
-

Answer:

-
    -
  • RM: More number of rooms would mean that the house is bigger in area, and can accomodate bigger families. So an increase in RM will lead to an increase in MEDV.

    -
  • -
  • LSTAT: If the percentage of lower class homeowners is less, that would mean that the place has a higher standard of living and the cost of living is higher. Hence if the inverse were to be true, then it would deter rich folks from living in the area, because like attracts like - rich folks tend to live in rich neighborhoods amidst other rich folks and form communities around them. So an increase in LSTAT would lead to a decrease in MEDV

    -
  • -
  • PTRATIO: A higher ratio means that for each teacher, therea are more students to teach - it could be because there aren't enough educational institutions in the area. That could be an inconvenience to families who's family member is a student - they'd be forced to travel to institutions that are far away. So an increase in PTRATIO would decrease the value of MEDV.
  • -
- -
-
-
-
-
-
-
-
-
-

Developing a Model

In this second section of the project, you will develop the tools and techniques necessary for a model to make a prediction. Being able to make accurate evaluations of each model's performance through the use of these tools and techniques helps to greatly reinforce the confidence in your predictions.

- -
-
-
-
-
-
-
-
-

Implementation: Define a Performance Metric

It is difficult to measure the quality of a given model without quantifying its performance over training and testing. This is typically done using some type of performance metric, whether it is through calculating some type of error, the goodness of fit, or some other useful measurement. For this project, you will be calculating the coefficient of determination, R2, to quantify your model's performance. The coefficient of determination for a model is a useful statistic in regression analysis, as it often describes how "good" that model is at making predictions.

-

The values for R2 range from 0 to 1, which captures the percentage of squared correlation between the predicted and actual values of the target variable. A model with an R2 of 0 is no better than a model that always predicts the mean of the target variable, whereas a model with an R2 of 1 perfectly predicts the target variable. Any value between 0 and 1 indicates what percentage of the target variable, using this model, can be explained by the features. A model can be given a negative R2 as well, which indicates that the model is arbitrarily worse than one that always predicts the mean of the target variable.

-

For the performance_metric function in the code cell below, you will need to implement the following:

-
    -
  • Use r2_score from sklearn.metrics to perform a performance calculation between y_true and y_predict.
  • -
  • Assign the performance score to the score variable.
  • -
- -
-
-
-
-
-
In [14]:
-
-
-
# TODO: Import 'r2_score'
-from sklearn.metrics import  r2_score
-
-def performance_metric(y_true, y_predict):
-    """ Calculates and returns the performance score between 
-        true and predicted values based on the metric chosen. """
-    
-    # TODO: Calculate the performance score between 'y_true' and 'y_predict'
-    score = r2_score(y_true, y_predict)
-
-    # Return the score
-    return score
-
- -
-
-
- -
-
-
-
-
-
-

Question 2 - Goodness of Fit

Assume that a dataset contains five data points and a model made the following predictions for the target variable:

- - - - - - - - - - - - - - - - - - - - - - - - - - - - -
True ValuePrediction
3.02.5
-0.50.0
2.02.1
7.07.8
4.25.3
-

Would you consider this model to have successfully captured the variation of the target variable? Why or why not?

-

Run the code cell below to use the performance_metric function and calculate this model's coefficient of determination.

- -
-
-
-
-
-
In [15]:
-
-
-
# Calculate the performance of this model
-score = performance_metric([3, -0.5, 2, 7, 4.2], [2.5, 0.0, 2.1, 7.8, 5.3])
-print "Model has a coefficient of determination, R^2, of {:.3f}.".format(score)
-
- -
-
-
- -
-
- - -
-
-
Model has a coefficient of determination, R^2, of 0.923.
-
-
-
- -
-
- -
-
-
-
-
-
-

Answer: An R2 score closer to 1 indicates an accurate prediction, and since this model is close quite close to 1, it's performance metric seems to be quite good.

- -
-
-
-
-
-
-
-
-

Implementation: Shuffle and Split Data

Your next implementation requires that you take the Boston housing dataset and split the data into training and testing subsets. Typically, the data is also shuffled into a random order when creating the training and testing subsets to remove any bias in the ordering of the dataset.

-

For the code cell below, you will need to implement the following:

-
    -
  • Use train_test_split from sklearn.cross_validation to shuffle and split the features and prices data into training and testing sets.
      -
    • Split the data into 80% training and 20% testing.
    • -
    • Set the random_state for train_test_split to a value of your choice. This ensures results are consistent.
    • -
    -
  • -
  • Assign the train and testing splits to X_train, X_test, y_train, and y_test.
  • -
- -
-
-
-
-
-
In [16]:
-
-
-
# TODO: Import 'train_test_split'
-from sklearn.cross_validation import train_test_split
-
-# TODO: Shuffle and split the data into training and testing subsets
-X_train, X_test, y_train, y_test = train_test_split(features, prices, test_size=0.2, random_state=0)
-
-# Success
-print "Training and testing split was successful."
-
- -
-
-
- -
-
- - -
-
-
Training and testing split was successful.
-
-
-
- -
-
- -
-
-
-
-
-
-

Question 3 - Training and Testing

What is the benefit to splitting a dataset into some ratio of training and testing subsets for a learning algorithm?
-Hint: What could go wrong with not having a way to test your model?

- -
-
-
-
-
-
-
-
-

Answer: A learning curve needs to be able to do two things - to learn as much as it can from the given data, and to generalize well for unseen data. Hence by splitting a dataset into different ratios of training and testing subsets, we can analyze the performance of our model - more training points will mean more data for our learning algorithm to lean from, but we'll have fewer unseen data - we won't have a good idea of how well the algorithm can generalize. The inverse is also true.

-

If we don't have a way to test our model then there's no way to analyze the model for bias or variance. The only way to know is by testing our algorithm with unseen data-points and analyzing its performance against them.

- -
-
-
-
-
-
-
-
-
-

Analyzing Model Performance

In this third section of the project, you'll take a look at several models' learning and testing performances on various subsets of training data. Additionally, you'll investigate one particular algorithm with an increasing 'max_depth' parameter on the full training set to observe how model complexity affects performance. Graphing your model's performance based on varying criteria can be beneficial in the analysis process, such as visualizing behavior that may not have been apparent from the results alone.

- -
-
-
-
-
-
-
-
-

Learning Curves

The following code cell produces four graphs for a decision tree model with different maximum depths. Each graph visualizes the learning curves of the model for both training and testing as the size of the training set is increased. Note that the shaded region of a learning curve denotes the uncertainty of that curve (measured as the standard deviation). The model is scored on both the training and testing sets using R2, the coefficient of determination.

-

Run the code cell below and use these graphs to answer the following question.

- -
-
-
-
-
-
In [17]:
-
-
-
# Produce learning curves for varying training set sizes and maximum depths
-vs.ModelLearning(features, prices)
-
- -
-
-
- -
-
- - -
- - -
- -
- -
- -
-
- -
-
-
-
-
-
-

Question 4 - Learning the Data

Choose one of the graphs above and state the maximum depth for the model. What happens to the score of the training curve as more training points are added? What about the testing curve? Would having more training points benefit the model?
-Hint: Are the learning curves converging to particular scores?

- -
-
-
-
-
-
-
-
-

Answer:

-
    -
  • max_depth = 1: In this graph, we see the training curve and the testing curves almost merge, but this isn't necessarily an indicator of good performance, as we can see that the R2 scores for both the curves are pretty low. This could mean that our classifier suffers from a high bias, adding more training points isn't making it any better.
  • -
  • max_depth = 3: Both the curves in this graph have high scores and they almost converge. This is a good fit for our classifier, and there's no need to add more training points, since that might not make much difference.
  • -
  • max_depth = 6: The classifier seems to be trained well, but the training and testing curves don't seem to be converging. This seems to be a good fit too, but probably suffers from a slight variance. Adding more training points coould help it improve further.
  • -
  • max_depth = 10 the training curve has a good score but there's a large gap between the training curve and the tsting curve. This could indicate that the model suffers from a high variance. Adding more training points can help make the model better.
  • -
-

Since both the curves plateau even when the number of training points cross 350, the model doesn't seem to be getting any better. So adding more points won't make the model significantly better at predicting unseen data.

- -
-
-
-
-
-
-
-
-

Complexity Curves

The following code cell produces a graph for a decision tree model that has been trained and validated on the training data using different maximum depths. The graph produces two complexity curves — one for training and one for validation. Similar to the learning curves, the shaded regions of both the complexity curves denote the uncertainty in those curves, and the model is scored on both the training and validation sets using the performance_metric function.

-

Run the code cell below and use this graph to answer the following two questions.

- -
-
-
-
-
-
In [18]:
-
-
-
vs.ModelComplexity(X_train, y_train)
-
- -
-
-
- -
-
- - -
- - -
- -
- -
- -
-
- -
-
-
-
-
-
-

Question 5 - Bias-Variance Tradeoff

When the model is trained with a maximum depth of 1, does the model suffer from high bias or from high variance? How about when the model is trained with a maximum depth of 10? What visual cues in the graph justify your conclusions?
-Hint: How do you know when a model is suffering from high bias or high variance?

- -
-
-
-
-
-
-
-
-

Answer: When the model is trained with maximum depth of 1, then it suffers from high bias. If it's trained with maximum depth of 10 then it suffers from high variance.

-

High bias occurs when our model depends on more features than the ones that we have taken into consideration. This will result in a low R2 score.

-

As we increase the maximum depth, we find that the training and validation curves are further and further apart, which indicates high variance. This might be because we're trying to overfit the model with too many features, some of which might not be necessary. We might also need more training data to help generalize the model better, so that the two curves converge at a relatively high score.

- -
-
-
-
-
-
-
-
-

Question 6 - Best-Guess Optimal Model

Which maximum depth do you think results in a model that best generalizes to unseen data? What intuition lead you to this answer?

- -
-
-
-
-
-
-
-
-

Answer: A maximum depth of 3 seems to optimally generalize best to unseen data. As we can see from the graph, the increase in score for the training curve is proportional to the increase in score for the validation curve until the maximum depth value is 3. After which, the score of the validation curve does not increase in the same proportion as that of the training curve, which means that the variance is increasing.

- -
-
-
-
-
-
-
-
-
-

Evaluating Model Performance

In this final section of the project, you will construct a model and make a prediction on the client's feature set using an optimized model from fit_model.

- -
-
-
-
-
-
-
-
-

What is the grid search technique and how it can be applied to optimize a learning algorithm?

- -
-
-
-
-
-
-
-
-

Answer: For an algorithm that accepts a set of parameters, Grid Search builds different models by tuning the parameters to different values, and then cross validates the models to decide which combination of parameters (or tune) gives the best performance. These parameters are specified in a grid.

-

It can be used to optimize a learning algorithm since it returns the best of a family of models, one that gives the most accurate predictions on the testing data.

- -
-
-
-
-
-
-
-
-

Question 8 - Cross-Validation

What is the k-fold cross-validation training technique? What benefit does this technique provide for grid search when optimizing a model?
-Hint: Much like the reasoning behind having a testing set, what could go wrong with using grid search without a cross-validated set?

- -
-
-
-
-
-
-
-
-

Answer: The k-fold technique splits our data-set into k sub-sets. One of the k subsets is used as the testing data, and the rest (k-1) subsets are used as the training data. The machine learning algorithm is trained with the training data-set and then tested for performance using the testing data-set. -This process is repeated k times, when each time a different subset is used as the testing data. Once this is done, the average performance is calculated from the results of the k experiments.

-

In this way, our algorithm can use all the data for training, and all the data for testing too. This process takes a longer time, but it improves the accuracy of the grid search.

-

This techique could help in eliminating bias, because we take into account the entire data-set. It aids grid search in making a more accurate prediction.

- -
-
-
-
-
-
-
-
-

Implementation: Fitting a Model

Your final implementation requires that you bring everything together and train a model using the decision tree algorithm. To ensure that you are producing an optimized model, you will train the model using the grid search technique to optimize the 'max_depth' parameter for the decision tree. The 'max_depth' parameter can be thought of as how many questions the decision tree algorithm is allowed to ask about the data before making a prediction. Decision trees are part of a class of algorithms called supervised learning algorithms.

-

In addition, you will find your implementation is using ShuffleSplit() for an alternative form of cross-validation (see the 'cv_sets' variable). While it is not the K-Fold cross-validation technique you describe in Question 8, this type of cross-validation technique is just as useful!. The ShuffleSplit() implementation below will create 10 ('n_iter') shuffled sets, and for each shuffle, 20% ('test_size') of the data will be used as the validation set. While you're working on your implementation, think about the contrasts and similarities it has to the K-fold cross-validation technique.

-

For the fit_model function in the code cell below, you will need to implement the following:

-
    -
  • Use DecisionTreeRegressor from sklearn.tree to create a decision tree regressor object.
      -
    • Assign this object to the 'regressor' variable.
    • -
    -
  • -
  • Create a dictionary for 'max_depth' with the values from 1 to 10, and assign this to the 'params' variable.
  • -
  • Use make_scorer from sklearn.metrics to create a scoring function object.
      -
    • Pass the performance_metric function as a parameter to the object.
    • -
    • Assign this scoring function to the 'scoring_fnc' variable.
    • -
    -
  • -
  • Use GridSearchCV from sklearn.grid_search to create a grid search object.
      -
    • Pass the variables 'regressor', 'params', 'scoring_fnc', and 'cv_sets' as parameters to the object.
    • -
    • Assign the GridSearchCV object to the 'grid' variable.
    • -
    -
  • -
- -
-
-
-
-
-
In [25]:
-
-
-
# TODO: Import 'make_scorer', 'DecisionTreeRegressor', and 'GridSearchCV'
-from sklearn.metrics import make_scorer
-from sklearn.tree import DecisionTreeRegressor
-from sklearn.grid_search import GridSearchCV
-
-
-def fit_model(X, y):
-    """ Performs grid search over the 'max_depth' parameter for a 
-        decision tree regressor trained on the input data [X, y]. """
-    
-    # Create cross-validation sets from the training data
-    cv_sets = ShuffleSplit(X.shape[0], n_iter = 10, test_size = 0.20, random_state = 0)
-
-    # TODO: Create a decision tree regressor object
-    regressor = DecisionTreeRegressor()
-
-    # TODO: Create a dictionary for the parameter 'max_depth' with a range from 1 to 10
-    params = {
-        'max_depth': [1,2,3,4,5,6,7,8,9,10]
-    }
-
-    # TODO: Transform 'performance_metric' into a scoring function using 'make_scorer' 
-    scoring_fnc = make_scorer(performance_metric)
-
-    # TODO: Create the grid search object
-    grid = GridSearchCV(regressor, params, scoring_fnc, cv=cv_sets)
-
-    # Fit the grid search object to the data to compute the optimal model
-    grid = grid.fit(X, y)
-
-    # Return the optimal model after fitting the data
-    return grid.best_estimator_
-
- -
-
-
- -
-
-
-
-
-
-

Making Predictions

Once a model has been trained on a given set of data, it can now be used to make predictions on new sets of input data. In the case of a decision tree regressor, the model has learned what the best questions to ask about the input data are, and can respond with a prediction for the target variable. You can use these predictions to gain information about data where the value of the target variable is unknown — such as data the model was not trained on.

- -
-
-
-
-
-
-
-
-

Question 9 - Optimal Model

What maximum depth does the optimal model have? How does this result compare to your guess in Question 6?

-

Run the code block below to fit the decision tree regressor to the training data and produce an optimal model.

- -
-
-
-
-
-
In [26]:
-
-
-
# Fit the training data to the model using grid search
-reg = fit_model(X_train, y_train)
-
-# Produce the value for 'max_depth'
-print "Parameter 'max_depth' is {} for the optimal model.".format(reg.get_params()['max_depth'])
-
- -
-
-
- -
-
- - -
-
-
Parameter 'max_depth' is 4 for the optimal model.
-
-
-
- -
-
- -
-
-
-
-
-
-

Answer: The model predicts an optimum max_depth value of 4, as opposed to the guess made earlier in question 6, where I guessed that the optimum max_depth value could be 3.

- -
-
-
-
-
-
-
-
-

Question 10 - Predicting Selling Prices

Imagine that you were a real estate agent in the Boston area looking to use this model to help price homes owned by your clients that they wish to sell. You have collected the following information from three of your clients:

- - - - - - - - - - - - - - - - - - - - - - - - - - - - -
FeatureClient 1Client 2Client 3
Total number of rooms in home5 rooms4 rooms8 rooms
Neighborhood poverty level (as %)17%32%3%
Student-teacher ratio of nearby schools15-to-122-to-112-to-1
-

What price would you recommend each client sell his/her home at? Do these prices seem reasonable given the values for the respective features?
-Hint: Use the statistics you calculated in the Data Exploration section to help justify your response.

-

Run the code block below to have your optimized model make predictions for each client's home.

- -
-
-
-
-
-
In [27]:
-
-
-
# Produce a matrix for client data
-client_data = [[5, 17, 15], # Client 1
-               [4, 32, 22], # Client 2
-               [8, 3, 12]]  # Client 3
-
-# Show predictions
-for i, price in enumerate(reg.predict(client_data)):
-    print "Predicted selling price for Client {}'s home: ${:,.2f}".format(i+1, price)
-
- -
-
-
- -
-
- - -
-
-
Predicted selling price for Client 1's home: $391,183.33
-Predicted selling price for Client 2's home: $189,123.53
-Predicted selling price for Client 3's home: $942,666.67
-
-
-
- -
-
- -
-
-
-
-
-
-

Answer: The predicted prices for each of the houses seems perfectly reasonable.

-

On comparing these prices with the minimum price and maximum price from the Boston housing data-set, we can understand that the predicted prices certainly aren't outliers.

-

The average of these three prices is 507657.84, which seems close to the calculated mean of the entire Boston housing data-set $454342.94.

-

Client 3 has a house that has more rooms than the other clients, has lesser poverty percentage level and has the least student-teacher ratio than the other houses, so naturally the predicted value of the house is higher than the rest.

-

Client 2 on the other hand, has the least number of rooms, has the highest poverty percentage level and has the largest student-teacher ratio among the three clients, hence the predicted value of this house is the least of all.

-

Client 1 has a house that has more rooms than Client 2 but lesser than Client 3. The house also seems to be in a better neighborhood and has better student-teacher ratio than that of Client 2, but not as good as that of Client 3. So the predicted value of this house is greater than Client 2's, but lesser than Client 3's.

- -
-
-
-
-
-
-
-
-

Sensitivity

An optimal model is not necessarily a robust model. Sometimes, a model is either too complex or too simple to sufficiently generalize to new data. Sometimes, a model could use a learning algorithm that is not appropriate for the structure of the data given. Other times, the data itself could be too noisy or contain too few samples to allow a model to adequately capture the target variable — i.e., the model is underfitted. Run the code cell below to run the fit_model function ten times with different training and testing sets to see how the prediction for a specific client changes with the data it's trained on.

- -
-
-
-
-
-
In [29]:
-
-
-
vs.PredictTrials(features, prices, fit_model, client_data)
-
- -
-
-
- -
-
- - -
-
-
Trial 1: $391,183.33
-Trial 2: $419,700.00
-Trial 3: $415,800.00
-Trial 4: $420,622.22
-Trial 5: $413,334.78
-Trial 6: $411,931.58
-Trial 7: $399,663.16
-Trial 8: $407,232.00
-Trial 9: $351,577.61
-Trial 10: $413,700.00
-
-Range in prices: $69,044.61
-
-
-
- -
-
- -
-
-
-
-
-
-

Question 11 - Applicability

In a few sentences, discuss whether the constructed model should or should not be used in a real-world setting.
-Hint: Some questions to answering:

-
    -
  • How relevant today is data that was collected from 1978?
  • -
  • Are the features present in the data sufficient to describe a home?
  • -
  • Is the model robust enough to make consistent predictions?
  • -
  • Would data collected in an urban city like Boston be applicable in a rural city?
  • -
- -
-
-
-
-
-
-
-
-

Answer: The range in prices is high, so it needs to be more consistent with it's predictions.

-

We might be ignoring some not so obvious but important features - for example employment opportunities in the neighborhood, age of the house, crime rates, health-care facilities etc. The features present in the data-set are good ,but they might not be enough to describe a home.

-

The model is not making consistent predictions, looks like it flutuates a bit - judging from th range in priec predictions

-

Some of the featues might not be applicable in a rural city, for example - poverty level might not be aa important a factor as for people in urban areas (most people have a very simple way of life in rural areas).

- -
-
-
-
-
-
-
-
-

Note: Once you have completed all of the code implementations and successfully answered each question above, you may finalize your work by exporting the iPython Notebook as an HTML document. You can do this by using the menu above and navigating to
-File -> Download as -> HTML (.html). Include the finished document along with this notebook as your submission.

-
- -
-
-
-
-
- - diff --git a/boston_housing/visuals.py b/boston_housing/visuals.py deleted file mode 100755 index a083139..0000000 --- a/boston_housing/visuals.py +++ /dev/null @@ -1,130 +0,0 @@ -########################################### -# Suppress matplotlib user warnings -# Necessary for newer version of matplotlib -import warnings -warnings.filterwarnings("ignore", category = UserWarning, module = "matplotlib") -# -# Display inline matplotlib plots with IPython -from IPython import get_ipython -get_ipython().run_line_magic('matplotlib', 'inline') -########################################### - -import matplotlib.pyplot as pl -import numpy as np -import sklearn.learning_curve as curves -from sklearn.tree import DecisionTreeRegressor -from sklearn.cross_validation import ShuffleSplit, train_test_split - -def ModelLearning(X, y): - """ Calculates the performance of several models with varying sizes of training data. - The learning and testing scores for each model are then plotted. """ - - # Create 10 cross-validation sets for training and testing - cv = ShuffleSplit(X.shape[0], n_iter = 10, test_size = 0.2, random_state = 0) - - # Generate the training set sizes increasing by 50 - train_sizes = np.rint(np.linspace(1, X.shape[0]*0.8 - 1, 9)).astype(int) - - # Create the figure window - fig = pl.figure(figsize=(10,7)) - - # Create three different models based on max_depth - for k, depth in enumerate([1,3,6,10]): - - # Create a Decision tree regressor at max_depth = depth - regressor = DecisionTreeRegressor(max_depth = depth) - - # Calculate the training and testing scores - sizes, train_scores, test_scores = curves.learning_curve(regressor, X, y, \ - cv = cv, train_sizes = train_sizes, scoring = 'r2') - - # Find the mean and standard deviation for smoothing - train_std = np.std(train_scores, axis = 1) - train_mean = np.mean(train_scores, axis = 1) - test_std = np.std(test_scores, axis = 1) - test_mean = np.mean(test_scores, axis = 1) - - # Subplot the learning curve - ax = fig.add_subplot(2, 2, k+1) - ax.plot(sizes, train_mean, 'o-', color = 'r', label = 'Training Score') - ax.plot(sizes, test_mean, 'o-', color = 'g', label = 'Testing Score') - ax.fill_between(sizes, train_mean - train_std, \ - train_mean + train_std, alpha = 0.15, color = 'r') - ax.fill_between(sizes, test_mean - test_std, \ - test_mean + test_std, alpha = 0.15, color = 'g') - - # Labels - ax.set_title('max_depth = %s'%(depth)) - ax.set_xlabel('Number of Training Points') - ax.set_ylabel('Score') - ax.set_xlim([0, X.shape[0]*0.8]) - ax.set_ylim([-0.05, 1.05]) - - # Visual aesthetics - ax.legend(bbox_to_anchor=(1.05, 2.05), loc='lower left', borderaxespad = 0.) - fig.suptitle('Decision Tree Regressor Learning Performances', fontsize = 16, y = 1.03) - fig.tight_layout() - fig.show() - - -def ModelComplexity(X, y): - """ Calculates the performance of the model as model complexity increases. - The learning and testing errors rates are then plotted. """ - - # Create 10 cross-validation sets for training and testing - cv = ShuffleSplit(X.shape[0], n_iter = 10, test_size = 0.2, random_state = 0) - - # Vary the max_depth parameter from 1 to 10 - max_depth = np.arange(1,11) - - # Calculate the training and testing scores - train_scores, test_scores = curves.validation_curve(DecisionTreeRegressor(), X, y, \ - param_name = "max_depth", param_range = max_depth, cv = cv, scoring = 'r2') - - # Find the mean and standard deviation for smoothing - train_mean = np.mean(train_scores, axis=1) - train_std = np.std(train_scores, axis=1) - test_mean = np.mean(test_scores, axis=1) - test_std = np.std(test_scores, axis=1) - - # Plot the validation curve - pl.figure(figsize=(7, 5)) - pl.title('Decision Tree Regressor Complexity Performance') - pl.plot(max_depth, train_mean, 'o-', color = 'r', label = 'Training Score') - pl.plot(max_depth, test_mean, 'o-', color = 'g', label = 'Validation Score') - pl.fill_between(max_depth, train_mean - train_std, \ - train_mean + train_std, alpha = 0.15, color = 'r') - pl.fill_between(max_depth, test_mean - test_std, \ - test_mean + test_std, alpha = 0.15, color = 'g') - - # Visual aesthetics - pl.legend(loc = 'lower right') - pl.xlabel('Maximum Depth') - pl.ylabel('Score') - pl.ylim([-0.05,1.05]) - pl.show() - - -def PredictTrials(X, y, fitter, data): - """ Performs trials of fitting and predicting data. """ - - # Store the predicted prices - prices = [] - - for k in range(10): - # Split the data - X_train, X_test, y_train, y_test = train_test_split(X, y, \ - test_size = 0.2, random_state = k) - - # Fit the data - reg = fitter(X_train, y_train) - - # Make a prediction - pred = reg.predict([data[0]])[0] - prices.append(pred) - - # Result - print "Trial {}: ${:,.2f}".format(k+1, pred) - - # Display price range - print "\nRange in prices: ${:,.2f}".format(max(prices) - min(prices)) \ No newline at end of file diff --git a/boston_housing/visuals.pyc b/boston_housing/visuals.pyc deleted file mode 100755 index 3b78f65..0000000 Binary files a/boston_housing/visuals.pyc and /dev/null differ diff --git a/finding_donors/.ipynb_checkpoints/finding_donors-checkpoint.ipynb b/finding_donors/.ipynb_checkpoints/finding_donors-checkpoint.ipynb deleted file mode 100644 index 6a5adaf..0000000 --- a/finding_donors/.ipynb_checkpoints/finding_donors-checkpoint.ipynb +++ /dev/null @@ -1,1306 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Machine Learning Engineer Nanodegree\n", - "## Supervised Learning\n", - "## Project: Finding Donors for *CharityML*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Welcome to the second project of the Machine Learning Engineer Nanodegree! In this notebook, some template code has already been provided for you, and it will be your job to implement the additional functionality necessary to successfully complete this project. Sections that begin with **'Implementation'** in the header indicate that the following block of code will require additional functionality which you must provide. Instructions will be provided for each section and the specifics of the implementation are marked in the code block with a `'TODO'` statement. Please be sure to read the instructions carefully!\n", - "\n", - "In addition to implementing code, there will be questions that you must answer which relate to the project and your implementation. Each section where you will answer a question is preceded by a **'Question X'** header. Carefully read each question and provide thorough answers in the following text boxes that begin with **'Answer:'**. Your project submission will be evaluated based on your answers to each of the questions and the implementation you provide. \n", - "\n", - ">**Note:** Please specify WHICH VERSION OF PYTHON you are using when submitting this notebook. Code and Markdown cells can be executed using the **Shift + Enter** keyboard shortcut. In addition, Markdown cells can be edited by typically double-clicking the cell to enter edit mode." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Getting Started\n", - "\n", - "In this project, you will employ several supervised algorithms of your choice to accurately model individuals' income using data collected from the 1994 U.S. Census. You will then choose the best candidate algorithm from preliminary results and further optimize this algorithm to best model the data. Your goal with this implementation is to construct a model that accurately predicts whether an individual makes more than $50,000. This sort of task can arise in a non-profit setting, where organizations survive on donations. Understanding an individual's income can help a non-profit better understand how large of a donation to request, or whether or not they should reach out to begin with. While it can be difficult to determine an individual's general income bracket directly from public sources, we can (as we will see) infer this value from other publically available features. \n", - "\n", - "The dataset for this project originates from the [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/Census+Income). The datset was donated by Ron Kohavi and Barry Becker, after being published in the article _\"Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid\"_. You can find the article by Ron Kohavi [online](https://www.aaai.org/Papers/KDD/1996/KDD96-033.pdf). The data we investigate here consists of small changes to the original dataset, such as removing the `'fnlwgt'` feature and records with missing or ill-formatted entries." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "----\n", - "## Exploring the Data\n", - "Run the code cell below to load necessary Python libraries and load the census data. Note that the last column from this dataset, `'income'`, will be our target label (whether an individual makes more than, or at most, $50,000 annually). All other columns are features about each individual in the census database." - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
ageworkclasseducation_leveleducation-nummarital-statusoccupationrelationshipracesexcapital-gaincapital-losshours-per-weeknative-countryincome
039State-govBachelors13.0Never-marriedAdm-clericalNot-in-familyWhiteMale2174.00.040.0United-States<=50K
\n", - "
" - ], - "text/plain": [ - " age workclass education_level education-num marital-status \\\n", - "0 39 State-gov Bachelors 13.0 Never-married \n", - "\n", - " occupation relationship race sex capital-gain capital-loss \\\n", - "0 Adm-clerical Not-in-family White Male 2174.0 0.0 \n", - "\n", - " hours-per-week native-country income \n", - "0 40.0 United-States <=50K " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Import libraries necessary for this project\n", - "import numpy as np\n", - "import pandas as pd\n", - "from time import time\n", - "from IPython.display import display # Allows the use of display() for DataFrames\n", - "\n", - "# Import supplementary visualization code visuals.py\n", - "import visuals as vs\n", - "\n", - "# Pretty display for notebooks\n", - "%matplotlib inline\n", - "\n", - "# Load the Census dataset\n", - "data = pd.read_csv(\"census.csv\")\n", - "\n", - "# Success - Display the first record\n", - "display(data.head(n=1))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Data Exploration\n", - "A cursory investigation of the dataset will determine how many individuals fit into either group, and will tell us about the percentage of these individuals making more than \\$50,000. In the code cell below, you will need to compute the following:\n", - "- The total number of records, `'n_records'`\n", - "- The number of individuals making more than \\$50,000 annually, `'n_greater_50k'`.\n", - "- The number of individuals making at most \\$50,000 annually, `'n_at_most_50k'`.\n", - "- The percentage of individuals making more than \\$50,000 annually, `'greater_percent'`.\n", - "\n", - "** HINT: ** You may need to look at the table above to understand how the `'income'` entries are formatted. " - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Total number of records: 45222\n", - "Individuals making more than $50,000: 11208\n", - "Individuals making at most $50,000: 34014\n", - "Percentage of individuals making more than $50,000: 24.78%\n" - ] - } - ], - "source": [ - "# TODO: Total number of records\n", - "#print(data)\n", - "n_records = data.shape[0]\n", - "\n", - "# TODO: Number of records where individual's income is more than $50,000\n", - "more_than_50k = data.loc[(data['income'] == '>50K')]\n", - "n_greater_50k = more_than_50k.shape[0]\n", - "\n", - "# TODO: Number of records where individual's income is at most $50,000\n", - "atmost_50k = data.loc[(data['income'] == '<=50K')]\n", - "n_at_most_50k = atmost_50k.shape[0]\n", - "\n", - "# TODO: Percentage of individuals whose income is more than $50,000\n", - "greater_percent = n_greater_50k*100/n_records\n", - "\n", - "# Print the results\n", - "print(\"Total number of records: {}\".format(n_records))\n", - "print(\"Individuals making more than $50,000: {}\".format(n_greater_50k))\n", - "print(\"Individuals making at most $50,000: {}\".format(n_at_most_50k))\n", - "print(\"Percentage of individuals making more than $50,000: {:.2f}%\".format(greater_percent))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "** Featureset Exploration **\n", - "\n", - "* **age**: continuous. \n", - "* **workclass**: Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked. \n", - "* **education**: Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool. \n", - "* **education-num**: continuous. \n", - "* **marital-status**: Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse. \n", - "* **occupation**: Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces. \n", - "* **relationship**: Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried. \n", - "* **race**: Black, White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other. \n", - "* **sex**: Female, Male. \n", - "* **capital-gain**: continuous. \n", - "* **capital-loss**: continuous. \n", - "* **hours-per-week**: continuous. \n", - "* **native-country**: United-States, Cambodia, England, Puerto-Rico, Canada, Germany, Outlying-US(Guam-USVI-etc), India, Japan, Greece, South, China, Cuba, Iran, Honduras, Philippines, Italy, Poland, Jamaica, Vietnam, Mexico, Portugal, Ireland, France, Dominican-Republic, Laos, Ecuador, Taiwan, Haiti, Columbia, Hungary, Guatemala, Nicaragua, Scotland, Thailand, Yugoslavia, El-Salvador, Trinadad&Tobago, Peru, Hong, Holand-Netherlands." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "----\n", - "## Preparing the Data\n", - "Before data can be used as input for machine learning algorithms, it often must be cleaned, formatted, and restructured — this is typically known as **preprocessing**. Fortunately, for this dataset, there are no invalid or missing entries we must deal with, however, there are some qualities about certain features that must be adjusted. This preprocessing can help tremendously with the outcome and predictive power of nearly all learning algorithms." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Transforming Skewed Continuous Features\n", - "A dataset may sometimes contain at least one feature whose values tend to lie near a single number, but will also have a non-trivial number of vastly larger or smaller values than that single number. Algorithms can be sensitive to such distributions of values and can underperform if the range is not properly normalized. With the census dataset two features fit this description: '`capital-gain'` and `'capital-loss'`. \n", - "\n", - "Run the code cell below to plot a histogram of these two features. Note the range of the values present and how they are distributed." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxAAAAF2CAYAAAD+y36TAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n2gQEAADQJiAAAIA2AQEAALQJCAAAoO0Ga7UEP7pgqRcAAAAASUVORK5CYII=\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Split the data into features and target label\n", - "income_raw = data['income']\n", - "features_raw = data.drop('income', axis = 1)\n", - "\n", - "# Visualize skewed continuous features of original data\n", - "vs.distribution(data)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For highly-skewed feature distributions such as `'capital-gain'` and `'capital-loss'`, it is common practice to apply a logarithmic transformation on the data so that the very large and very small values do not negatively affect the performance of a learning algorithm. Using a logarithmic transformation significantly reduces the range of values caused by outliers. Care must be taken when applying this transformation however: The logarithm of `0` is undefined, so we must translate the values by a small amount above `0` to apply the the logarithm successfully.\n", - "\n", - "Run the code cell below to perform a transformation on the data and visualize the results. Again, note the range of values and how they are distributed. " - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxAAAAF2CAYAAAD+y36TAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xe4JGWV+PHvYUAERERFRECHRVZEjIyIogiiC0ZMi7ii\nMyb0Z8I1AgZYs2taMaCssoyCsMiughgRBdeAZCUIgjJIBjEw5HR+f7xvMzU9fe+tvnN7uu/t7+d5\n+rm3q6qrTlV11+lT71vVkZlIkiRJUhurDTsASZIkSbOHBYQkSZKk1iwgJEmSJLVmASFJkiSpNQsI\nSZIkSa1ZQEiSJElqzQJizETEoojIiHjoCMRyQEQ8bdhxTCUiXhURF0bEbRHxt2HHs7IiYn59Dyya\nYrrOe6XzuDEilkTEtyJi94iI6cy36zU71vdB62NRI675jWFLIuKwtvOYblzTWcdR08/7OYqXRcQJ\nEXFdRNweEZdFxJERseMAY1wUEa+aYPhy+34ui4h1ImLfiDgjIpZGxC0RcUFEfC4iNh92fIMSESc2\njjt3RsRfI+Ksut6PWIn59nxfrWSsO3YdJ5uP18zksrqW2ddxU5ppvvk0TPsDI11ARMSDgIOBX1Ji\nffpwIxqKfwaeCDwLeB9wK3AEcHxErNWY7so63Xf7mPeOlPdBP8ei79blXNnHa/q1I73jms46jox+\n3s8RMQ84ClgMLAFeDewMvBu4J/CTiFhvQKEuAnp90VsV+34kRMRGwCnAuyjr/WLgmcCBlG1w9PCi\nWyV+S1nP7YGXAF8DdgLOiog3THOei+j9vpoJb6HE23wcM6Bl7Uj/x01pRq0+7ACkNiJizcy8dQiL\n3gKYByzOzJ+v7MwiYg3gjpxdv+B4VmZe1Hj+9Yj4JvBN4N+BNwPU/XPyoIJobLtrgWsHtZzJDHod\nV4F+3s/7Ur60vjgz/6dr3OER8Qzg9gHEOKFh7vsh+DqwEbBtZl7YGP5T4AsR8fzhhLXKLM3M5mft\nRxHxOcrJi89FxKmZeeqQYuvld13xziq1RXmNzLxt2LFolshMH2P0oJyBSeChU0y3J/Ab4Bbgz9Rk\n1jXN2sBBwHXADcC3gCfV+S+aYv7Z43FAHXcocBnlDM4vgZuBz9ZxewA/oXyJuAE4E1g4wfw/RDkr\ndDGwFDgJeETXdLvUZfy9zu8C4P2NOLpjPLSOW6POfwlwW/37IcoBuDPv+fU1b6B80b4CuAtYv7Ef\nnkQ5y7sUuBrYt75217puNwKnAtv0WMcXUr7M3gT8jfKF/sE99tEXG/voWODJLffRpO+Vur9vAdbu\nWt9FjWkeDxxfl38z8Efgi3XcAb3eB31su/mN5SwBDgNeC1xU4zoD2Kkr5hOBE3usy5LGvm0T16Ku\n17f5vHRi3AP4Xd23pwFP7ppuwm02xf56WN0nf6uvOxnYtTH+0B7rdegE87oH8FfguD6OLTOyDeo+\n6o7zxK73ZK99P9V2nXLfN4ZtC/yY8pm5ETiB8kW+7/kBD6S04lxBab27EjgOeMAk2/LxdT3f0cf2\n36tr+38VuO9MHxcb76UlPWJYbpsA9wI+B/yprvs1dbtuOcW6nAj8fIJxD6jz+npj2EPr++1iln1m\nDgLWb/m+2gD4MvB7yvH0UuAbwMYttvuOdV5Pn2K6tYGP1xhvq3/fA6zWmOaewGeAc+p2vwr4TnN7\nMfnxqRPLjl3LXsTEn5tXAedTTga8oI9Yp7Vvfcydhy0QWkFE7EU5mP435Szkg4CPAE+IiMdl5g11\n0oMp3VsOoCTsnYHDWy7micCvKInoy3XYZY3x6wFHAp8E9qMkBYDNgW9TvlTeAewAfCUi1srML3Ut\nY09K4tub8oXoE8AxEbFlZt4REf9A+UJ9NPAByoFyC+Af6us/CJxO6TLwRsoX0s7Zz8XA7nW7/JxS\nCLynvvZfuuJ4D6UI2Ity9veWxrjFlKb5zrb8SETch9Jd6MOUJPLvwLcjYvOsZ4ci4vWUBPlfNfZ1\nKfvhpIh4VGYurfP/MqX5/99qDM+gJMaZ8D3g+cAC4GfdIyPiXsAPKd0wFlG+rMynbCuArwCbULrG\nPBm4s8cyJtt23XYEtqmvuZXS1eb7EfHozLygj/VqE9fd+vi8ADyF8kX/fXVdPggcFxHzM/NvLbbZ\nRDE8iPI+XAq8ifLF743AdyPiOZn5fSZ/P3dbANyH8vmY0kxuA0rReBhlf7+uvub6KUKYap6tRcSj\nKF+qz2PZF699KJ+t7TLzN/3Mj/LF9iHAOylfTDekHCvXnuQ1z6h/227/jwFvp+zbdwIbUwqFrSPi\nSZnZfA+v7HGxH58Bnkc5hl8I3I/SJek+05gXAJl5TUScVufT8SBKgfZ2SuG9WV3m9yi5BiZ/X92X\nsp7vpZzI2ajO6xd1u0x23OlYLSKa36mys93r8B8CW1Hem2cD21Her/etywJYE7g38FHgcsoJkzcA\nv4qIh2fmVfR5fJrCTsBjKPnhGmBJH7HO+L7VLDPsCsbHqn0w9VnleZQD6E+7hnfOWr+lPn8Y5Yzw\nu7qmO5AWZ7frtAl8qMfwQ+u43aZ4/WqUbnj/Cfymx7wvZPkWgRfX4U/qen7vSZbxdLrO6ABb02gx\naQx/bx3+qPp8fn1+BhAT7IfmWb3VKQfx24HNGsOfV6d9an1+L8oXxEO65rkZJQm+tbGP7gT26Zru\noDb7qMV7ZZc6/iVd67uoPl/Q3B4TzOOAOs3qXcPbbLv5jWFL6rpv2hi2LvAXlj9TeSLtzhpPFVdn\nHVt9XhrL+CvLnxXtbKN/abvNJtiOn6QU1A9tDJtH+aJ4xmTv5wnm95I63S4tlj2j26Cxn1Y4Az3J\nvm87zzb7/mhKK859GsPuXd9L/zuN+d3Q3AYt92fnM7pmi2nnUz7n7+8avn2dx/Mbw2bquHgo7Vog\nzgE+3c+6T7b/G+OPAG6eZPzqjfffY9vOt+s9vWl9/QummHZHereoX9aY5uV12A5dr30P5bjVszWq\nxrE25cTAvzaGH0Dv41Mnlh27hi+i9+fmJuCBXdO2inW6+9bH3Hl4AY66PYzSRLxcS0KW/tKXAE+t\ng54ABKXbTNNyF/bVu7is3njMaxnH7ZRm/uVExBYRcUREXF6nuR14TY272/GZ2eyjfXb9++D696z6\n+iMj4sUR8YCWse1Q/3bf9afz/Kldw7+dWY64PXy/809m3kHpfvP7zLy4Mc359e+m9e8TKV9oDm9u\nW8rZzfMb8T2BUmQd1bXMIyeIpV+duzBNtG4XUr6IfTki9oyITSeYbjKTbbtuJ2fmpZ0nWVphOhfd\nDkrbz0vHrzLzr43n3e/J6W6zHSjrf/e1KlnOfh4BPCYi7t1yPtMx09tgOmZynjtQum7d3XKRmddT\nzsp3r0sbpwLvjIi9I+KRta/5THoG5XPefTz4NeWL5w5d0w/quNjLqcCiiNgvIhb0cfyfStA47kTE\nPeoyzo+Imynx/18d3Ss3rDjDiP8XEb+JiBsoxfif+nk9pVXv8Y3HsxrjdqV8Fn7ZtY9+ROkOu10j\njt0j4tdR7pB2B6UL3b36iKMfJ2dp1WhqG+ug9q1mCQsIdbtv/dvrLidXNcZvVP9e0zXN1V3PF7Ls\ni/7twB9axnFtLt/s3ukSczzwaEqXgqdQDtSHUJp+u/2l63nnIux7AtQvW7tQPgdfB66KiJMjYqov\nCRNto6u6xjPBdE1/7Xp+2wTD7o6b8mUNSn/T27sej6Q0JcOyfdS9T7qfT1fny23P9cvMv1OayK+g\nXIfxp4g4JyJe1Mcy+rnbTq/1uprSnWNQ2n5eOpZ7T+ayGwN03pPT3Wb3nSSGoHSF6EenEHtIi2ln\ndBtM00zOc7Jt2e92hNKacyzlbkq/BS6PiPdPcQvOfrZ/53hwESseD9Zl2fGgY1DHxV7eTOna9irK\nF85rIuIzETFZ9602NmX5ffRRyln5w4BnU65heWEdN+V7ICLeTPm8/bi+bluWfVFu+x76fWae1nj8\ntjHuAZR92b1/Tqnj71fjeC6lG+DvKF1hn0DJcdf2EUc/er3PW8XK4PatZgmvgVC3TnJ5YI9xD6T0\noYZlB54HUC6w6tiw6zXfoRwAO9reSanXWecnUg5sT8nGHWS6+p32JTN/Cvw0ItakNPl/gNJvfH5m\n/nmClzW3UbMgemDX+LsXM934JnBd/bsIOLfH+M71D519tCHlokIaz2fCsyn9zU+faILMPAt4Ud1H\nCyj944+q1yWc02IZ/Wy7Xuu1IaUvccctlNabbt1fcttq+3lpbZrb7C+TxJCsWJRO5TRKS8hzKdfn\nTGbGt8GAtN33k23L5nZsNb/MvIZydvqNEfEwykmVf6N8KTxoglh/TLkG6rnApyaYpqNzPPgneu/n\n63oMm1SL4+ItlOsnut2vubws177sC+wbEQ+hdI/6GOWkyLv7jQugtogsYPmW1D2Ar2XmhxrT3auP\n2e4BnJCZnf79RMRm04lvAtdR8uTuE4xf0ojjosxc1IhjDdofnzrXanTvm+4isqPX8bVVrIPYt5pd\nbIFQtwsoZ233aA6MiCdRvryfWAedQjn4/HPX65d7npnXdZ2VObsx+jZgLdrrnNm4u/k9ItYHdutj\nHj1l5q2Z+RPKBcvrUK4nmEjnguE9uoa/rP49cWXjmcIvKUXCQ7u2befRuWD415TrVLoTQXfcfatn\nxJ8HfCkzb5pq+sy8I8stDt9HOe48vI7qFJT9vA8msl2zy09ErEspcn7VmOYS4B8j4h6N6XagnKlt\nahtX289L3ybZZr2cRFn/+Y0Y5lHOfp9Zu+D0s+zbKF9cnzNR60dEPKOebRzENriVmXlPNLXd9ycB\nz6rvn85061K+zJ84jfndLTMvyMz9KF/0t55kulMod5vbLyb40c+I6Bz3jqd8zh88wfHg4l6vb2OS\n4+IlwIYRsUEjns2ZpJtNZl6SmZ+idJmacN0nU79Mf5Fy8vPAxqi1WfGWwq/sMYuJ3ldtXz9dP6C0\nmtwwwT7qnKxam9JtqenllGshmiY6Pl1S/3Zv32cPINa7zcS+1exjC8T42jUiuvs+/j0zj4+I91P6\nYB9GaRLemHI27EJKdyEy8/yI+AbwwdoUfzrlh6meW+d1V4sYzgOeHRE/oCTUKzLzikmm/yXlrhlf\niIj9KQntvZRbFvb9g1ZR7mS0A+VOHZcC96ecUbmCcoFYT5l5TkQcARxQzxL/ktI68j7giK4iacZl\n5vUR8U7KdtiAch3F3yn76amUixi/kZkX1H30gbqPTqWcpXzWRPOewGMi4v6Us1oPBp5DKRSPp2yv\nniLiOZS7J32bckZrHcrtI5ey7Ev9efXv2yPi+8CdmXlan/F1XE25V/wBLLsL0zqUO4l0HFljOiQi\nDqV8IXobZfs1tYorM+9s83lpq+U26+UzlBap4+tn43rK3Vv+kf6+PDR9lNJd8L/rtvoO5ez8JsCL\nKF091s/Mm2ZyG1TnAW+IiJdQWvmWZn930uql7b7/IOU9fkJEfJxyouTdlC93H+hnflF+aO/HlOtD\nOrfK3I3SFepHU8S7Z33tqVF+/+DnlJMuW1K6jawBHJOZf6hxfr62cJxEORO9KeX6iK/UFoVWWh4X\nv1m302ER8enGNH/umtevKN23zqZcTP5UyntqcYtQ1o2ITjeidSndM19JKVLekJnNlq0fAAsj4mxK\nV64X0vvOZRO9r34AvDsi9qOcHHsa5Yz6TDm8xn5CRHyKcrvde1DuKvg8yoXuN9U4nh8Rn6FcA7iA\n0lWo+05iPY9PmXllRJxEaRX4M6WL8Z70dwetVrGu5L7VXNDvVdc+ZveDZXdj6PU4pzFd557ut1Ka\nNCf7HYi/sOw3Bp5Nizso1ddvTyk8bqFxVyPq70BM8JqnUX4f4WZKAngL9Y4UXdMlXXd4YsU76HR+\nKfRSlt2f/ZvAwxqv6XnXGsoB9UOUMz63178T/Q7EaybZDw/tGn4iXXcJmWg+lELgp5Qvizex7Mva\nVlPso87dWRb1+V65ua7ntygFRPfdkbq378Mo/Xkvrvv4WsqXkic0XjMP+AIl0d3V2Y8tt938xrAl\nlC+ur6nvi1vr++RpPV7/urqtbqYUf9uw4p1zpoprUdc823xelgCH9Yin+d6fcptNsr8eRik8/l5f\nu9zvQEz2fp5knlHX7SeUIv92yu2Wj6B0JZzxbVCfP7Cu99I67sSp9v1U82y77+t0T2CK34FoMz/K\ntVlfpnQ1vIHyWT2Vxt2hptj+96LcJrPzmzC3Ulp8Pgv8Q9e0L6/7/Ma6rN8Bnwc26domK31crNM9\nn1JQ3Fz3+z+x4l2YPl5j/3uN62xa3JGK5X+z4a76+rMovzvwiB7T359S0P21Pg5n2W9pLGpMN9H7\nai3KcfLaOu44SkG4wnuox7J3rNNN9TsQ96TkqvPrdv1LfS8cQL2bEqWl8UOUYu0mSjH4WFoen+q4\nTSjF/t8o1+18hHJcbPW56SPWae1bH3PnEfWNIM2IiHgHpbl7fmb+aarpJUmSNLvYhUnTVrtbbE05\nM3QX5a5I7wCOsniQJEmamywgtDKWUpqx96H01b6ccmHb/sMMSpIkSYNjFyZJkiRJrXkbV0mSJEmt\nWUBIkiRJas0CQpIkSVJrFhCSJEmSWrOAkCRJktSaBYQkSZKk1iwgNKGIODQijpuB+RwQEefMRExT\nLGd+RGRELBj0ssZdRCyKiBsGNO8TI+LzjedL6i+cD2JZA1sPaS5blflhppalwRlknu/OATXPv3hA\ny1ol31fmAguIWaIeQA9YxYvdG9izEcNyX+xG0KXARpRfxm4lInaMiCVTTLOkHrCaj7+tZKzdyxj6\ntq3borN+d0XE9RHx24j4bERs1jX5fwP/0HK+/RZ2LwT27Sf2lnH0Sjqt10MaVeaHmVNPKpw4xTTd\n+SAjonXeaRnHwE6c9BHDosb63RkRf4uI0yLiwxHxgK7JPwk8teV8O7nm/i1DeTzwxX5ibxHDRHmp\n9XqMO3+JWhPKzL8PO4Z+ZOadwFUDmv0HgIMaz+8a0HJWWkSskZm3r8QsHgH8BbgX8GjgrcDZEfHs\nzDwJIDNvBm5e6WAbIuIemXlbZv5lJuc7mUGshzQOZlt+GIDXAs1WkZU55g5MRKxG+dHgO6c5i5uA\nzYEA7k35Mv9u4LUR8dTM/B1AZt4AzGhrbiMnXDuT853MINZjrrIFYpaKiHtExEci4pKIuDUi/hgR\nb6nj5kXEVyPi4oi4OSIujIh31QNJ5/WHRsRxEfHeiLg6Im6IiP+KiLW6p+n8T6nK39g4IzG/zbJa\nrs86EfG1GseVEfHOGt+hjWn2jIhTI2JpRFwTEd+MiI0b45c7o9A4y7FzRPw6Im6qZ08eN41NvjQz\nr2o8rmksd72IOLjGtDQiTmqe1YiI+0XEERFxWd1G50bEKxvjJ9q2K5ylmWQdnxURp0TEbcAuddxz\nI+L0iLil7p8PR8Q9WqzrNXUdL8rM/wF2BM4EDomIeXXey3X9iYhNI+KYiPhL3c7nR8QedfTF9e+p\nNdYTO+td9/G7I+Iy4LI6vNeZzHtFxGH1/XFVdJ2Zix6tC9E4gxfLWpm+Wadd0ms96rDXRcRFEXFb\n/fvaHsvaq77/bqyfvT2RRkTMsfzQY/3WjIj/qLHdEhEnR8STG+PXiIgDI+KKuv6XRsTHGuNfGKV1\n9eZ6zDopIjbsM4y/deWE6xrz3zgijoyIv9bHdyNii8b4zevx8qp6DDkjIp7TGH8i8BDgE53tWYf3\nOl4tlyc609SccA5wG/DwOu6VEXFe3Wa/j4h/bbEvsq7flZl5QWYeBjwR+BvwpUYcy3X9iYhHRsQJ\nUVqyb4iI30TEThExH/hpnezaGvuhnfWOiIMi4pMRcS3wizq8V2vMA+t2vam+z5utYT1bF2L5PDFR\nXupej9Ui4n31PXRrRJwdEbv1WNaLIuL4Gs95EfGMKbbrrGcBMXstBl4BvI1ycFgI/LWOWw24HNi9\njnsPsB/wyq55PJVyhnln4EXAPwEfn2B5ewO/Av6L0k1oI0qXobbLmsqnajwvAJ4ObAM8pWuaewD7\n15ifA9wfOKLFvD8K7AM8DrgOODwios/4eqrz+S6wcY3pscDPgJ9ExEZ1snsCZ9TxjwA+C3w5Inau\n4yfatv34OPBeYEvg1xGxC3A48Pm6zFcBLwY+0u861jNXn6F09XnsBJN9EVgb2Kku762UBAOwbf27\nK2XdXth43VOBR9VxOzOxtwG/o+zD/YGPRMQLJ5m+2+Pr39fWGB7fa6KIeAFlm/0HsDVlX30xIp7b\nNen7gWMo78X/phRXD+4jHmmQ5lp+6PbvwEsox7XHAmcDP2gcc99CySV7AFvUaS8AiIgHAkdSttHD\ngR2Ar69kPHeLiLUpX5BvoWzDJwJXAj+u46C07n4feAZlG/8P8L8RsWUd/0LKCZUPsGx79uOewPuA\n1wFbAZdEORHyEcqx6+HA2yktCW/odx3rWfovATtExAYTTPYNynpvCzwGOICyTS6lvJ+g5IqNKO+f\njj0prR1PobyHJ/JvwLF13gcDX+suGKYwWV5q2ht4J2VbPRL4FmVfPaZrug8DB1L256nAkRFxrz7i\nmX0y08cse1AOiAns2sdrPgb8uPH8UMoXvHs1hu0J3Aqs05jmuMb4E4HPT2NZBwDnTDL9vShnSfZo\nDFuHkvAOneR1W9btsEl9Pr8+X1Cf71if79J4zfbN17Tcdkvqdrmh8divjntafb5W12vOAt41yTyP\nBL4y2bZtxH//xrCJ1vFFXa/9GfC+rmHPr7HGBDGtsLwe23r3+nwRcENj/G+B/SeY73Ixd70HrwXW\n7Bq+3Lao2//4rmm+Avy88TyBF/fYb++YYpru9fgFcEiPOLuX9dHG89Upzfx7tn1P+fAxqAdzLD90\nL4uSG24DXtEYPw/4A/Ch+vxA4IRexzrKSYgEHrIS2zgpXR+bOeFlddyrgAuby67xXdc5fk4wz5OB\n9zaeL3f8qsOWO17VYTvSOG7XaRLYpmu6PwEv7xr2VuC8SWJaYXmNcbvW5Wzbaz8C1wMLJ3jtcjF3\nvYd+22P65bZFfe1/dk3zY+Cw+v98euecu3PAJNN0r8flwPt7xNm9rNc1xm9chz15uu+x2fDwGojZ\n6bGUPvg/nWiCiHg98BpKM+hawBrAJV2T/TbLmYSOX1HO8m9O+ULYSstldaZ9CuXMS8frgHPqa07p\nDMzMG6PrTghRuh7tTznjcF/KWQqAB1O7v0yguS5X1L8PmOI13T4NfLXxvNNPfxvKmfdruxo17knZ\njkTp9rMP5SzYxsCalO18Yh/Ln8ppXc+3AbaNiHc3hq1G2T8PpJwZ6kdn5XKC8Z8FvhQRu1IS97cy\n8/QW8z0nM29tMd2vejzvpwWirYcDh3QN+znwvK5hd7+nMvOO2tzefVGhNAxzKj9k5uFdk21e5/GL\nzoDMvDMifkU52w6l4Dge+H1E/Aj4HvD9zLwL+A3ly+Y5ddyPgaOz/3727wR+0Hh+df27DbAZsLQr\nJ6zNspywDiWXPYdy9nsNSs5ovV2ncAeNm4nUVoJNKS3fzWv5VmfZsb1fU+WETwNfiYiFlJzwP5l5\nfov5tskb0DsnPLvla1uJiHsDD6LxXqt+Djyra9hE3zPmLAuIOSgiXkLpgvEO4JeUMwFvpDTpDntZ\np1EKgI6raXEXnHrA/SHlYP9y4BpKF6b/oyS1yTQvbusc7PrtvnddZl7UY/hqlHXo7m4FZVtA2TZv\npzSFnk05W/URpj64dC7Ubh7g15hg2ht7xPVvwDd7TDudC9I6ifmPvUZm5lcj4oeUg+rTgV9GxEcz\n84Ap5tsd93QlKybCibbVdOff1H3BZGKXUM0CszA/9KOcZs48o/a134XSBWsx8JuIeEYtNv4J2I7S\nLevVwEejXBD8mz6WddUkOeEsSvepbp0TT5+knMF/B6W14ibga0ydy+6i3XHu1lz+ounOsen1lP0w\nE7aibO8lvUZm5gERcTjwTMp+2D8iXp+Z3Sdous1ETlghd0bETOYDmCQnZGbW4nFO5wQLiNnpLMob\ncyeWPwPS8WTg15nZvJf+5j2me2RErJOZnQ/sdpSm4T9MsNzbKE2x01kWcPddb5Y76EbEHygfvsdT\nv6DWvqJbN2LZklIw7JeZF9dpBnEGul9nABsCd2Vmzy/XlG30ncz8Otx93cQ/suwaAei9bTtf9Ddq\n/N/d73KyuLacIMH1pbagvJWyLya8VWFmXkbpi3pwbfnYm9IcfFudpHv9+rFdj+e/azy/lkY/4SgX\nRHb3G769RQy/o3Rza7Y2PRk4r59gpSGaU/mhhz/UZW3fiaUeo55I6XffmddS4Gjg6HqR7snAQ4Hf\nZ+ln8ivgVxHxAeBcSgtxPwXERM4AXgr8OTMnut33k4GvZblJBRHRabH+fWOaiXLC2hFx78zsnKCa\nMidk5tURcQWweWZ+rf2q9Fb79r8eOGmylpvMvJBSIB1YWz5eQ2nhnamccEjX805OaObOju7tNGUM\nmXl93W7bU1pROswJWEDMSpn5+4g4itI8uDflgLUJML9+Sf09sCginkk5GO9BuZjrr12zWp1y8ecH\nKM10H6P0K5zoDMASSreY+ZSz6H/pY1mTrc8NEXEI8PGI+DOle817KUmwU+X/idL/9k0R8QVKV5MP\ntl3GAP2Y0rx5TES8Czif0kVoV0o/3/+jbKOXRLlLyJ+BN1OauM9szGcJK27biygXnB0QEftQ+lq+\nt2VcHwCOi4hLgKMoTdpbU/qrvmuK1z4gIlanXJvyKOBfKd0inpUT3AowIj5L6Xrwe8qt/nZl2QH2\nGkp/4V2i3P3oluz/FpDbRcS+lC8EO1IurntZY/xPKHeA+SVwJ6WF55aueSwBdo6Ikyhn6Hq9Rz9B\nuVPT6cCP6nq8jMF0l5Jm3FzLDz3W78b6ZbSTLy6mHKM2pP5WQES8jZJHzqKcOPgXSuvHZRGxHaWV\n9IeUFo7HUrr3zNQXwsMpLQvHRMT7KblrU2A34Ev1S/XvgRdExDE1vv0pXZialgBPiYjDKMerPwO/\nppyh/2hEfIZywW7bi6D3Bz4X5TeMvkdpuXgcsHFmfnSS10W98BxgPZbdxnU9Vuza2XnBWpRWlm/W\n9diQWkybS3/1AAAfU0lEQVTWSS6h5PZnR8R3gJu7usu18cKIOJXSFfjFlJamJ0ApRCPiZODd9QTl\nepSbqTS1zUufAD4QERdSulftSelxMJ27Oc4pc7p5ZY57BeVsy4GUL62HUj4kAF+mfGn8BuVuAPMp\ndznqdhLlzMtPKXcW+Akw2ZfLT1Kq9vMoFf6D+1jWVN5B6Y50bI3nbEpz9i0A9SzHQsqFwOdRDoZv\nm8ZyZlQ9k/Usyrb7T8qdPo4CHsayfpAfolzf8X3Kxc03UpJM0wrbNstvOexB6eL1G0qXpP1axvVD\nSn/QneqyT6Fch/GnFi8/l5J8z6QUImcCj8rMn03ymtWAz9X4j6ck5oU1ljsod0V5DWWbHNNmHbp8\nmlLMnEnZnu/PzKMb499Oab06kVJkfIWSIOiaZidKUXYmPWTmtykF3r/WddkbeENmfmcaMUvDMtfy\nQ7d3U+5+9l+UIuFRlIvGO9d2LaVco3AKpYB6DPDMzLwJ+DvljPJxlLPjnwI+mOX2pCutLmMHyvHo\nm5TtvxhYn2WF09sox6f/o+SFk+v/Te+nFB5/oJ5Rz/IbOS+j3L3pbGAvyt2W2sT1FcoF3i+n5JP/\nq6+/eIqXrk3JB1dQtufbgO8AW2f9DYge7qSs76GUnPgtSovP22osl1Ny+IcpuWI6P0B4AOVuTr8F\n/h/wysw8tTH+VfXvqZT34XIn3/rISwdSioh/p1yv+QLKTUtmorVqVovy/Ufjpjbp3j8znzPVtMMQ\nEWtSzlJ8IjNnIuFIkloY9fwgafjswqSREBGPpXRLOgVYl3KGaV3KWSZJkiSNiKF1YYqIwyPigog4\nJyIO6VwhH8WBUX4B9rfR+NXgiNi1vuai2ie8M/y+UX4B8ML6d/1hrJNW2tsoXUt+QukzuUO9MFfS\nmDA3SNLoG1gB0eJAfTjlzjqPpNwb+jV1+DMpP4SzBaV/3kF1fvOAL9TxWwEvjYjOrSX3AU7IzC0o\nV8rfnUDUW2YuGqXm6cw8MzMXZOa6mbl+Zu7U8ncEJM0i5obRN2r5QdLoGWQLxGn1TNLT6m0rl5OZ\n38uK0m1lkzpqN8rtzTIzTwbuE+Xn6bcFLsrMP2bmbZRf8t2t8ZrF9f/FlAttJUmjx9wgSbPcIK+B\n+EfKGaE3AV+IiK8Dh2bmFc2JavP0yyl3O4HyS72XNia5rA7rNfwJ9f8NG3dfuIrS/WUFEbEX5cwV\n66yzzjZbbrnltFbs9Ouuaz3tNve737SWIUmDdPrpp/85MzcYwqLNDZgbJI2mtrlhYAVEvV/8cZR7\n0W9AuQfvnyLiSZl5SmPSLwI/q/fLn4nlZkT0vLVUZh5M+aErFixYkKeddtq0lhGLF089UXXawoXT\nWoYkDVL9jZBVztxQmBskjaK2uWGgd2GKiPUo97FfRLk/9Kso9+ztjN8f2AB4XeNll1PufdyxSR22\nxgTDAa6OiI0y88rapN19/3dJ0ogwN0jS7DbIi6gPo/yAy2bAKzLzqZn5tcy8pY5/DbAL8NLMvKvx\n0mOBV9Q7bmwH/L02QZ8KbBERm0XEPSjJ59jGazqncxYyvR+qkiQNmLlBkma/QbZAHAUsqr/218uX\nKD8U9qt6Hd3/ZuYHKD+x/izKz97fBLwSyq8GRsSbKD8/Pw84JDPPrfP6GHBURLy6znP3waySJGkl\nmRskaZYb5DUQx04xvuey65033jjBuO9Rkkj38OuAnacRpiRpFTI3SNLsN7QfkpMkSZI0+1hASJIk\nSWrNAkKSJElSaxYQkiRJklqzgJAkSZLUmgWEJEmSpNYsICRJkiS1ZgEhSZIkqTULCEmSJEmtWUBI\nkiRJas0CQpIkSVJrFhCSJEmSWrOAkCRJktSaBYQkSZKk1iwgJEmSJLVmASFJkiSpNQsISZIkSa1Z\nQEiSJElqzQJCkiRJUmsWEJIkSZJas4CQJEmS1JoFhCRJkqTWLCAkSZIktWYBIUmSJKk1CwhJkiRJ\nrVlASJIkSWrNAkKSJElSaxYQkiRJklqzgJAkSZLUmgWEJEmSpNYsICRJkiS1ZgEhSZIkqTULCEmS\nJEmtWUBIkiRJas0CQpIkSVJrFhCSJEmSWrOAkCRJktSaBYQkSZKk1iwgJEmSJLVmASFJkiSpNQsI\nSZIkSa1ZQEiSJElqzQJCkiRJUmsWEJIkSZJas4CQJEmS1JoFhCRJkqTWLCAkSZIktWYBIUmSJKk1\nCwhJkiRJrVlASJIkSWrNAkKSJElSaxYQkiRJklqzgJAkSZLUmgWEJEmSpNYsICRJkiS1ZgEhSZIk\nqTULCEmSJEmtWUBIkiRJas0CQpIkSVJrFhCSJEmSWrOAkCRJktSaBYQkSZKk1iwgJEmSJLU21AIi\nIg6JiGsi4pzGsAMi4vKIOKs+ntUYt29EXBQRF0TELo3h20TE2XXcgRERq3pdJEkzw9wgSaNt2C0Q\nhwK79hj+mcx8TH18DyAitgL2AB5RX/PFiJhXpz8IeC2wRX30mqckaXY4FHODJI2s1Ye58Mz8WUTM\nbzn5bsCRmXkrcHFEXARsGxFLgHtn5skAEfE14PnA92c+YknSoJkbJM02sXhxX9PnwoUDimTVGHYL\nxETeHBG/rc3Y69dhGwOXNqa5rA7buP7fPVySNLeYGyRpBIxiAXEQ8A/AY4ArgU/N1IwjYq+IOC0i\nTrv22mtnaraSpMEzN0jSiBi5AiIzr87MOzPzLuA/gW3rqMuBTRuTblKHXV7/7x7ea94HZ+aCzFyw\nwQYbzHzwkqSBMDdI0ugYuQIiIjZqPH0B0LkLx7HAHhGxZkRsRrkg7pTMvBK4PiK2q3fYeAVwzCoN\nWpI0UOYGSRodQ72IOiKOAHYE7h8RlwH7AztGxGOABJYArwPIzHMj4ijgPOAO4I2ZeWed1Rsod+1Y\ni3KBnBfJSdIsZW6QpNE27LswvbTH4K9OMv2HgQ/3GH4asPUMhiZJGhJzgySNtpHrwiRJkiRpdFlA\nSJIkSWrNAkKSJElSaxYQkiRJklqzgJAkSZLUmgWEJEmSpNYsICRJkiS1ZgEhSZIkqTULCEmSJEmt\nWUBIkiRJas0CQpIkSVJrFhCSJEmSWrOAkCRJktSaBYQkSZKk1iwgJEmSJLVmASFJkiSpNQsISZIk\nSa1ZQEiSJElqzQJCkiRJUmsWEJIkSZJas4CQJEmS1NqUBUREbB8R69T/94yIT0fEQwYfmiRpVJkb\nJGl8tWmBOAi4KSIeDbwd+APwtYFGJUkadeYGSRpTbQqIOzIzgd2Az2fmF4B1BxuWJGnEmRskaUyt\n3mKapRGxL7AnsENErAasMdiwJEkjztwgSWOqTQvES4BbgVdn5lXAJsAnBhqVJGnUmRskaUxN2QJR\nE8OnG8//hP1cJWmsmRskaXxNWEBExFIgJxqfmfceSESSpJFlbpAkTVhAZOa6ABHxQeBK4OtAAC8D\nNlol0UmSRoq5QZLU5hqI52XmFzNzaWZen5kHUe66IUkaX+YGSRpTbQqIGyPiZRExLyJWi4iXATcO\nOjBJ0kgzN0jSmGpTQPwLsDtwdX38cx0mSRpf5gZJGlOT3oUpIuYBL8hMm6UlSYC5QZLG3aQtEJl5\nJ/DSVRSLJGkWMDdI0nhr80vUv4iIzwP/TaN/a2aeMbCoJEmjztwgSWOqTQHxmPr3A41hCTxt5sOR\nJM0S5gZJGlNtfol6p1URiCRp9jA3SNL4mvIuTBGxXkR8OiJOq49PRcR6qyI4SdJoMjdI0vhqcxvX\nQ4CllNv17Q5cD/zXIIOSJI08c4Mkjak210Bsnpkvajz/t4g4a1ABSZJmBXODJI2pNi0QN0fEkztP\nImJ74ObBhSRJmgXMDZI0ptq0QPw/YHGjb+tfgUUDi0iSNBuYGyRpTLW5C9NZwKMj4t71+fUDj0qS\nNNLMDZI0vtrchekjEXGfzLw+M6+PiPUj4kOrIjhJ0mgyN0jS+GpzDcQzM/NvnSeZ+VfgWYMLSZI0\nC5gbJGlMtSkg5kXEmp0nEbEWsOYk00uS5j5zgySNqTYXUR8OnBARnft7vxJYPLiQJEmzgLlBksZU\nm4uoPx4RvwGeXgd9MDN/ONiwJEmjzNwgSeOrTQsEwO+AOzLzxxGxdkSsm5lLBxmYJGnkmRskaQy1\nuQvTa4GjgS/XQRsD3x5kUJKk0WZukKTx1eYi6jcC2wPXA2TmhcADBhmUJGnkmRskaUy1KSBuzczb\nOk8iYnUgBxeSJGkWMDdI0phqU0CcFBH7AWtFxDOAbwLfGWxYkqQRZ26QpDHVpoDYB7gWOBt4HfA9\n4L2DDEqSNPLMDZI0ptrcxvUu4D/rA4CI2B74xQDjkiSNMHODJI2vCQuIiJgH7E65s8YPMvOciHgO\nsB+wFvDYVROiJGlUmBskSZO1QHwV2BQ4BTgwIq4AFgD7ZKa36pOk8WRukKQxN1kBsQB4VGbeFRH3\nBK4CNs/M61ZNaJKkEWRukKQxN9lF1LfVPq5k5i3AH00QkjT2zA2SNOYma4HYMiJ+W/8PYPP6PIDM\nzEcNPDpJ0qgxN0jSmJusgHj4KotCkjRbmBskacxNWEBk5iWrMhBJ0ugzN0iS2vyQnCRJkiQBFhCS\nJEmS+jBhARERJ9S/Hx/UwiPikIi4JiLOaQy7b0QcHxEX1r/rN8btGxEXRcQFEbFLY/g2EXF2HXdg\nRMSgYpakcWZukCRN1gKxUUQ8CXheRDw2Ih7XfMzQ8g8Fdu0atg9wQmZuAZxQnxMRWwF7AI+or/li\n/UVUgIOA1wJb1Ef3PCVJM8PcIEljbrK7ML0feB+wCfDprnEJPG1lF56ZP4uI+V2DdwN2rP8vBk4E\n3l2HH5mZtwIXR8RFwLYRsQS4d2aeDBARXwOeD3x/ZeOTJK3A3CBJY26yuzAdDRwdEe/LzA+uwpg2\nzMwr6/9XARvW/zcGTm5Md1kddnv9v3u4JGmGmRskSZO1QACQmR+MiOcBO9RBJ2bmcYMN6+5lZ0Tk\nTM0vIvYC9gJ48IMfPFOzlaSxY26QpPE15V2YIuKjwN7AefWxd0R8ZIAxXR0RG9VlbwRcU4dfDmza\nmG6TOuzy+n/38BVk5sGZuSAzF2ywwQYzHrgkjQtzgySNrza3cX028IzMPCQzD6FchPacAcZ0LLCw\n/r8QOKYxfI+IWDMiNqNcEHdKbdK+PiK2q3fYeEXjNZKkwTA3SNKYmrILU3Uf4C/1//VmauERcQTl\norj7R8RlwP7Ax4CjIuLVwCXA7gCZeW5EHEU503UH8MbMvLPO6g2Uu3asRblAzovkJGnwzA2SNIba\nFBAfBc6MiJ8CQenvus9MLDwzXzrBqJ0nmP7DwId7DD8N2HomYpIktWJukKQx1eYi6iMi4kTg8XXQ\nuzPzqoFGJUkNsXhxX9PnwoVTT6SVYm6QpPHVqgtT7Ut67IBjkSTNIuYGSRpPbS6iliRJkiTAAkKS\nJElSHyYtICJiXkScv6qCkSSNPnODJI23SQuIeiu8CyLCn+aUJAHmBkkad20uol4fODciTgFu7AzM\nzOcNLCpJ0qgzN0jSmGpTQLxv4FFIkmYbc4Mkjak2vwNxUkQ8BNgiM38cEWsD8wYfmiRpVJkbJGl8\nTXkXpoh4LXA08OU6aGPg24MMSpI02swNkjS+2tzG9Y3A9sD1AJl5IfCAQQYlSRp55gZJGlNtCohb\nM/O2zpOIWB3IwYUkSZoFzA2SNKbaFBAnRcR+wFoR8Qzgm8B3BhuWJGnEmRskaUy1KSD2Aa4FzgZe\nB3wPeO8gg5IkjTxzgySNqTZ3YborIhYDv6Y0T1+QmTZTS9IYMzdI0viasoCIiGcDXwL+AASwWUS8\nLjO/P+jgJEmjydwgSeOrzQ/JfQrYKTMvAoiIzYHvAiYJSRpf5gZJGlNtroFY2kkQ1R+BpQOKR5I0\nO5gbJGlMTdgCEREvrP+eFhHfA46i9HP9Z+DUVRCbJGnEmBskSZN1YXpu4/+rgafW/68F1hpYRJKk\nUWZukKQxN2EBkZmvXJWBSJJGn7lBktTmLkybAW8G5jenz8znDS4sSdIoMzdI0vhqcxembwNfpfzC\n6F2DDUeSNEuYGyRpTLUpIG7JzAMHHokkaTYxN0jSmGpTQHw2IvYHfgTc2hmYmWcMLCpJ0qgzN0jS\nmGpTQDwSeDnwNJY1U2d9LkkaT+YGSRpTbQqIfwb+ITNvG3QwkqRZw9wgSWOqzS9RnwPcZ9CBSJJm\nFXODJI2pNi0Q9wHOj4hTWb6fq7fqk6TxZW6QpDHVpoDYf+BRSJJmG3ODJI2pKQuIzDxpVQQiSZo9\nzA2SNL7a/BL1UsqdNQDuAawB3JiZ9x5kYJKk0WVukKTx1aYFYt3O/xERwG7AdoMMSpI02swNkjS+\n2tyF6W5ZfBvYZUDxSJJmGXODJI2XNl2YXth4uhqwALhlYBFJ0kqKxYv7mj4XLhxQJHOXuUGSxleb\nuzA9t/H/HcASSlO1JGl8mRskaUy1uQbilasiEEnS7GFukKTxNWEBERHvn+R1mZkfHEA8kqQRZm6Q\nJE3WAnFjj2HrAK8G7geYJCRp/JgbJGnMTVhAZOanOv9HxLrA3sArgSOBT030OknS3GVukCRNeg1E\nRNwXeBvwMmAx8LjM/OuqCEySNJrMDZI03ia7BuITwAuBg4FHZuYNqywqSdJIMjdIkib7Ibm3Aw8C\n3gtcERHX18fSiLh+1YQnSRox5gZJGnOTXQPR169US5LmPnODJKnND8lJ0pT89WdJksaDBYSkoei3\n4JAkSaPBpmhJkiRJrVlASJIkSWrNAkKSJElSaxYQkiRJklqzgJAkSZLUmgWEJEmSpNYsICRJkiS1\nZgEhSZIkqTULCEmSJEmtWUBIkiRJas0CQpIkSVJrFhCSJEmSWrOAkCRJktSaBYQkSZKk1iwgJEmS\nJLVmASFJkiSpNQsISZIkSa1ZQEiSJElqbWQLiIhYEhFnR8RZEXFaHXbfiDg+Ii6sf9dvTL9vRFwU\nERdExC7Di1ySNCjmBkkavpEtIKqdMvMxmbmgPt8HOCEztwBOqM+JiK2APYBHALsCX4yIecMIWJI0\ncOYGSRqiUS8guu0GLK7/Lwae3xh+ZGbempkXAxcB2w4hPknSqmdukKRVaJQLiAR+HBGnR8ReddiG\nmXll/f8qYMP6/8bApY3XXlaHLSci9oqI0yLitGuvvXZQcUuSBsfcIElDtvqwA5jEkzPz8oh4AHB8\nRJzfHJmZGRHZzwwz82DgYIAFCxb09VpJ0kgwN0jSkI1sC0RmXl7/XgN8i9LsfHVEbARQ/15TJ78c\n2LTx8k3qMEnSHGJukKThG8kCIiLWiYh1O/8D/wScAxwLLKyTLQSOqf8fC+wREWtGxGbAFsApqzZq\nSdIgmRskaTSMahemDYFvRQSUGL+RmT+IiFOBoyLi1cAlwO4AmXluRBwFnAfcAbwxM+8cTuiSpAEx\nN0jSCBjJAiIz/wg8usfw64CdJ3jNh4EPDzg0SdKQmBskaTSMZBcmSZIkSaPJAkKSJElSaxYQkiRJ\nklqzgJAkSZLUmgWEJEmSpNYsICRJkiS1ZgEhSZIkqTULCEmSJEmtWUBIkiRJas0CQpIkSVJrFhCS\nJEmSWrOAkCRJktSaBYQkSZKk1iwgJEmSJLVmASFJkiSpNQsISZIkSa1ZQEiSJElqzQJCkiRJUmsW\nEJIkSZJas4CQJEmS1JoFhCRJkqTWLCAkSZIktWYBIUmSJKk1CwhJkiRJra0+7AAkSZKkUROLFw87\nhJFlC4QkSZKk1iwgJEmSJLVmASFJkiSpNa+BkNSTfT8lSVIvFhCSJEnSKtTvSbpcuHBAkUyPXZgk\nSZIktWYBIUmSJKk1CwhJkiRJrVlASJIkSWrNi6glaYT0c2HdqF1UJ0kaD7ZASJIkSWrNAkKSJElS\naxYQkiRJklqzgJAkSZLUmgWEJEmSpNYsICRJkiS1ZgEhSZIkqTULCEmSJEmtWUBIkiRJas0CQpIk\nSVJrFhCSJEmSWrOAkCRJktSaBYQkSZKk1iwgJEmSJLVmASFJkiSpNQsISZIkSa1ZQEiSJElqzQJC\nkiRJUmurDzsASatOLF487BAkSdIsZwuEJEmSpNZsgZCkPvTbipMLFw4oEkmShsMWCEmSJEmtWUBI\nkiRJas0CQpIkSVJrFhCSJEmSWvMiammEeIHucHh7W0mS2rMFQpIkSVJrFhCSJEmSWpszXZgiYlfg\ns8A84CuZ+bEhhyRJGjJzgzR32f10eOZEC0REzAO+ADwT2Ap4aURsNdyoJEnDZG6QpMGYKy0Q2wIX\nZeYfASLiSGA34LyhRiUNmGdfpEmZGyTNCaN2k5W5UkBsDFzaeH4Z8IQhxaJZZtQ+lJpbLPKGytwg\nzbBBH9PMsbNDZOawY1hpEfFiYNfMfE19/nLgCZn5pq7p9gL2qk8fBlwwzUXeH/jzNF87SubKeoDr\nMormynrA3FyXh2TmBsMOZpDMDSPBbdKb26U3t8uKVvU2aZUb5koLxOXApo3nm9Rhy8nMg4GDV3Zh\nEXFaZi5Y2fkM21xZD3BdRtFcWQ9wXWYxc8OQuU16c7v05nZZ0ahukzlxETVwKrBFRGwWEfcA9gCO\nHXJMkqThMjdI0gDMiRaIzLwjIt4E/JByq75DMvPcIYclSRoic4MkDcacKCAAMvN7wPdW0eJWuql7\nRMyV9QDXZRTNlfUA12XWMjcMndukN7dLb26XFY3kNpkTF1FLkiRJWjXmyjUQkiRJklYBC4g+RMSu\nEXFBRFwUEfsMO57piohNI+KnEXFeRJwbEXsPO6aVERHzIuLMiDhu2LGsjIi4T0QcHRHnR8TvIuKJ\nw45puiLiX+t765yIOCIi7jnsmNqKiEMi4pqIOKcx7L4RcXxEXFj/rj/MGNuaYF0+Ud9jv42Ib0XE\nfYYZ41wwV3LDTJpreWYmzZWcNZPmUv6bSaOcSy0gWoqIecAXgGcCWwEvjYithhvVtN0BvD0ztwK2\nA944i9cFYG/gd8MOYgZ8FvhBZm4JPJpZuk4RsTHwFmBBZm5NuXh1j+FG1ZdDgV27hu0DnJCZWwAn\n1OezwaGsuC7HA1tn5qOA3wP7ruqg5pI5lhtm0lzLMzNpruSsmTQn8t9MGvVcagHR3rbARZn5x8y8\nDTgS2G3IMU1LZl6ZmWfU/5dSPqgbDzeq6YmITYBnA18ZdiwrIyLWA3YAvgqQmbdl5t+GG9VKWR1Y\nKyJWB9YGrhhyPK1l5s+Av3QN3g3o/PzqYuD5qzSoaeq1Lpn5o8y8oz49mfLbCJq+OZMbZtJcyjMz\naa7krJk0B/PfTBrZXGoB0d7GwKWN55cxBw6GETEfeCzw6+FGMm3/AbwLuGvYgaykzYBrgf+qTdtf\niYh1hh3UdGTm5cAngT8BVwJ/z8wfDTeqlbZhZl5Z/78K2HCYwcygVwHfH3YQs9yczA0zaQ7kmZk0\nV3LWTJoz+W8mjXoutYAYYxFxL+B/gLdm5vXDjqdfEfEc4JrMPH3YscyA1YHHAQdl5mOBG5k93WSW\nU68P2I2SFB4ErBMRew43qpmT5dZ1s/72dRHxHko3k8OHHYvmrtmeZ2bSHMtZM2nO5L+ZNOq51AKi\nvcuBTRvPN6nDZqWIWINyUD88M/932PFM0/bA8yJiCaXbwNMi4rDhhjRtlwGXZWbnDN3RlAPqbPR0\n4OLMvDYzbwf+F3jSkGNaWVdHxEYA9e81Q45npUTEIuA5wMvSe3mvrDmVG2bSHMkzM2ku5ayZNJfy\n30wa6VxqAdHeqcAWEbFZRNyDciHLsUOOaVoiIih9DX+XmZ8edjzTlZn7ZuYmmTmfsj9+kpkjU533\nIzOvAi6NiIfVQTsD5w0xpJXxJ2C7iFi7vtd2ZvZfEHcssLD+vxA4ZoixrJSI2JXSheJ5mXnTsOOZ\nA+ZMbphJcyXPzKS5lLNm0hzLfzNppHPpnPkl6kHLzDsi4k3ADylXwh+SmecOOazp2h54OXB2RJxV\nh+1Xf7FVw/Nm4PD6JeSPwCuHHM+0ZOavI+Jo4AxKF5kzGdFf0uwlIo4AdgTuHxGXAfsDHwOOiohX\nA5cAuw8vwvYmWJd9gTWB40tO4uTMfP3Qgpzl5lhumEnmGfVjTuS/mTTqudRfopYkSZLUml2YJEmS\nJLVmASFJkiSpNQsISZIkSa1ZQEiSJElqzQJCkiRJUmsWENJKiIifRsQuXcPeGhEHTfKaGwYfmSRp\nWMwNmussIKSVcwTlB4Ga9qjDJUnjydygOc0CQlo5RwPPrj9+Q0TMBx4EnBkRJ0TEGRFxdkTs1v3C\niNgxIo5rPP98RCyq/28TESdFxOkR8cOI2GhVrIwkaUaYGzSnWUBIKyEz/wKcAjyzDtoDOAq4GXhB\nZj4O2An4VP0p+ilFxBrA54AXZ+Y2wCHAh2c6dknSYJgbNNetPuwApDmg01R9TP37aiCAj0TEDsBd\nwMbAhsBVLeb3MGBr4PiaV+YBV8582JKkATI3aM6ygJBW3jHAZyLiccDamXl6bW7eANgmM2+PiCXA\nPbtedwfLtwJ2xgdwbmY+cbBhS5IGyNygOcsuTNJKyswbgJ9SmpM7F8itB1xTE8ROwEN6vPQSYKuI\nWDMi7gPsXIdfAGwQEU+E0mwdEY8Y6EpIkmaUuUFzmS0Q0sw4AvgWy+66cTjwnYg4GzgNOL/7BZl5\naUQcBZwDXAycWYffFhEvBg6MiPUon9P/AM4d+FpIkmaSuUFzUmTmsGOQJEmSNEvYhUmSJElSaxYQ\nkiRJklqzgJAkSZLUmgWEJEmSpNYsICRJkiS1ZgEhSZIkqTULCEmSJEmtWUBIkiRJau3/A1O7qgqy\nlt95AAAAAElFTkSuQmCC\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Log-transform the skewed features\n", - "skewed = ['capital-gain', 'capital-loss']\n", - "features_log_transformed = pd.DataFrame(data = features_raw)\n", - "features_log_transformed[skewed] = features_raw[skewed].apply(lambda x: np.log(x + 1))\n", - "\n", - "# Visualize the new log distributions\n", - "vs.distribution(features_log_transformed, transformed = True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Normalizing Numerical Features\n", - "In addition to performing transformations on features that are highly skewed, it is often good practice to perform some type of scaling on numerical features. Applying a scaling to the data does not change the shape of each feature's distribution (such as `'capital-gain'` or `'capital-loss'` above); however, normalization ensures that each feature is treated equally when applying supervised learners. Note that once scaling is applied, observing the data in its raw form will no longer have the same original meaning, as exampled below.\n", - "\n", - "Run the code cell below to normalize each numerical feature. We will use [`sklearn.preprocessing.MinMaxScaler`](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html) for this." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
ageworkclasseducation_leveleducation-nummarital-statusoccupationrelationshipracesexcapital-gaincapital-losshours-per-weeknative-country
00.301370State-govBachelors0.800000Never-marriedAdm-clericalNot-in-familyWhiteMale0.6674920.00.397959United-States
10.452055Self-emp-not-incBachelors0.800000Married-civ-spouseExec-managerialHusbandWhiteMale0.0000000.00.122449United-States
20.287671PrivateHS-grad0.533333DivorcedHandlers-cleanersNot-in-familyWhiteMale0.0000000.00.397959United-States
30.493151Private11th0.400000Married-civ-spouseHandlers-cleanersHusbandBlackMale0.0000000.00.397959United-States
40.150685PrivateBachelors0.800000Married-civ-spouseProf-specialtyWifeBlackFemale0.0000000.00.397959Cuba
\n", - "
" - ], - "text/plain": [ - " age workclass education_level education-num \\\n", - "0 0.301370 State-gov Bachelors 0.800000 \n", - "1 0.452055 Self-emp-not-inc Bachelors 0.800000 \n", - "2 0.287671 Private HS-grad 0.533333 \n", - "3 0.493151 Private 11th 0.400000 \n", - "4 0.150685 Private Bachelors 0.800000 \n", - "\n", - " marital-status occupation relationship race sex \\\n", - "0 Never-married Adm-clerical Not-in-family White Male \n", - "1 Married-civ-spouse Exec-managerial Husband White Male \n", - "2 Divorced Handlers-cleaners Not-in-family White Male \n", - "3 Married-civ-spouse Handlers-cleaners Husband Black Male \n", - "4 Married-civ-spouse Prof-specialty Wife Black Female \n", - "\n", - " capital-gain capital-loss hours-per-week native-country \n", - "0 0.667492 0.0 0.397959 United-States \n", - "1 0.000000 0.0 0.122449 United-States \n", - "2 0.000000 0.0 0.397959 United-States \n", - "3 0.000000 0.0 0.397959 United-States \n", - "4 0.000000 0.0 0.397959 Cuba " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Import sklearn.preprocessing.StandardScaler\n", - "from sklearn.preprocessing import MinMaxScaler\n", - "\n", - "# Initialize a scaler, then apply it to the features\n", - "scaler = MinMaxScaler() # default=(0, 1)\n", - "numerical = ['age', 'education-num', 'capital-gain', 'capital-loss', 'hours-per-week']\n", - "\n", - "features_log_minmax_transform = pd.DataFrame(data = features_log_transformed)\n", - "features_log_minmax_transform[numerical] = scaler.fit_transform(features_log_transformed[numerical])\n", - "\n", - "# Show an example of a record with scaling applied\n", - "display(features_log_minmax_transform.head(n = 5))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Data Preprocessing\n", - "\n", - "From the table in **Exploring the Data** above, we can see there are several features for each record that are non-numeric. Typically, learning algorithms expect input to be numeric, which requires that non-numeric features (called *categorical variables*) be converted. One popular way to convert categorical variables is by using the **one-hot encoding** scheme. One-hot encoding creates a _\"dummy\"_ variable for each possible category of each non-numeric feature. For example, assume `someFeature` has three possible entries: `A`, `B`, or `C`. We then encode this feature into `someFeature_A`, `someFeature_B` and `someFeature_C`.\n", - "\n", - "| | someFeature | | someFeature_A | someFeature_B | someFeature_C |\n", - "| :-: | :-: | | :-: | :-: | :-: |\n", - "| 0 | B | | 0 | 1 | 0 |\n", - "| 1 | C | ----> one-hot encode ----> | 0 | 0 | 1 |\n", - "| 2 | A | | 1 | 0 | 0 |\n", - "\n", - "Additionally, as with the non-numeric features, we need to convert the non-numeric target label, `'income'` to numerical values for the learning algorithm to work. Since there are only two possible categories for this label (\"<=50K\" and \">50K\"), we can avoid using one-hot encoding and simply encode these two categories as `0` and `1`, respectively. In code cell below, you will need to implement the following:\n", - " - Use [`pandas.get_dummies()`](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.get_dummies.html?highlight=get_dummies#pandas.get_dummies) to perform one-hot encoding on the `'features_raw'` data.\n", - " - Convert the target label `'income_raw'` to numerical entries.\n", - " - Set records with \"<=50K\" to `0` and records with \">50K\" to `1`." - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "45222\n", - "103 total features after one-hot encoding.\n" - ] - } - ], - "source": [ - "# TODO: One-hot encode the 'features_log_minmax_transform' data using pandas.get_dummies()\n", - "features_final = pd.get_dummies(features_log_minmax_transform)\n", - "\n", - "# TODO: Encode the 'income_raw' data to numerical values\n", - "income = pd.get_dummies(income_raw)['>50K']\n", - "print(income.count())\n", - "# Print the number of features after one-hot encoding\n", - "encoded = list(features_final.columns)\n", - "print(\"{} total features after one-hot encoding.\".format(len(encoded)))\n", - "\n", - "# Uncomment the following line to see the encoded feature names\n", - "#print(encoded)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Shuffle and Split Data\n", - "Now all _categorical variables_ have been converted into numerical features, and all numerical features have been normalized. As always, we will now split the data (both features and their labels) into training and test sets. 80% of the data will be used for training and 20% for testing.\n", - "\n", - "Run the code cell below to perform this split." - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Training set has 36177 samples.\n", - "Testing set has 9045 samples.\n" - ] - } - ], - "source": [ - "# Import train_test_split\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Split the 'features' and 'income' data into training and testing sets\n", - "X_train, X_test, y_train, y_test = train_test_split(features_final, \n", - " income, \n", - " test_size = 0.2, \n", - " random_state = 0)\n", - "\n", - "# Show the results of the split\n", - "print(\"Training set has {} samples.\".format(X_train.shape[0]))\n", - "print(\"Testing set has {} samples.\".format(X_test.shape[0]))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "----\n", - "## Evaluating Model Performance\n", - "In this section, we will investigate four different algorithms, and determine which is best at modeling the data. Three of these algorithms will be supervised learners of your choice, and the fourth algorithm is known as a *naive predictor*." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Metrics and the Naive Predictor\n", - "*CharityML*, equipped with their research, knows individuals that make more than \\$50,000 are most likely to donate to their charity. Because of this, *CharityML* is particularly interested in predicting who makes more than \\$50,000 accurately. It would seem that using **accuracy** as a metric for evaluating a particular model's performace would be appropriate. Additionally, identifying someone that *does not* make more than \\$50,000 as someone who does would be detrimental to *CharityML*, since they are looking to find individuals willing to donate. Therefore, a model's ability to precisely predict those that make more than \\$50,000 is *more important* than the model's ability to **recall** those individuals. We can use **F-beta score** as a metric that considers both precision and recall:\n", - "\n", - "$$ F_{\\beta} = (1 + \\beta^2) \\cdot \\frac{precision \\cdot recall}{\\left( \\beta^2 \\cdot precision \\right) + recall} $$\n", - "\n", - "In particular, when $\\beta = 0.5$, more emphasis is placed on precision. This is called the **F$_{0.5}$ score** (or F-score for simplicity).\n", - "\n", - "Looking at the distribution of classes (those who make at most \\$50,000, and those who make more), it's clear most individuals do not make more than \\$50,000. This can greatly affect **accuracy**, since we could simply say *\"this person does not make more than \\$50,000\"* and generally be right, without ever looking at the data! Making such a statement would be called **naive**, since we have not considered any information to substantiate the claim. It is always important to consider the *naive prediction* for your data, to help establish a benchmark for whether a model is performing well. That been said, using that prediction would be pointless: If we predicted all people made less than \\$50,000, *CharityML* would identify no one as donors. \n", - "\n", - "\n", - "#### Note: Recap of accuracy, precision, recall\n", - "\n", - "** Accuracy ** measures how often the classifier makes the correct prediction. It’s the ratio of the number of correct predictions to the total number of predictions (the number of test data points).\n", - "\n", - "** Precision ** tells us what proportion of messages we classified as spam, actually were spam.\n", - "It is a ratio of true positives(words classified as spam, and which are actually spam) to all positives(all words classified as spam, irrespective of whether that was the correct classificatio), in other words it is the ratio of\n", - "\n", - "`[True Positives/(True Positives + False Positives)]`\n", - "\n", - "** Recall(sensitivity)** tells us what proportion of messages that actually were spam were classified by us as spam.\n", - "It is a ratio of true positives(words classified as spam, and which are actually spam) to all the words that were actually spam, in other words it is the ratio of\n", - "\n", - "`[True Positives/(True Positives + False Negatives)]`\n", - "\n", - "For classification problems that are skewed in their classification distributions like in our case, for example if we had a 100 text messages and only 2 were spam and the rest 98 weren't, accuracy by itself is not a very good metric. We could classify 90 messages as not spam(including the 2 that were spam but we classify them as not spam, hence they would be false negatives) and 10 as spam(all 10 false positives) and still get a reasonably good accuracy score. For such cases, precision and recall come in very handy. These two metrics can be combined to get the F1 score, which is weighted average(harmonic mean) of the precision and recall scores. This score can range from 0 to 1, with 1 being the best possible F1 score(we take the harmonic mean as we are dealing with ratios)." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 1 - Naive Predictor Performace\n", - "* If we chose a model that always predicted an individual made more than $50,000, what would that model's accuracy and F-score be on this dataset? You must use the code cell below and assign your results to `'accuracy'` and `'fscore'` to be used later.\n", - "\n", - "** Please note ** that the the purpose of generating a naive predictor is simply to show what a base model without any intelligence would look like. In the real world, ideally your base model would be either the results of a previous model or could be based on a research paper upon which you are looking to improve. When there is no benchmark model set, getting a result better than random choice is a place you could start from.\n", - "\n", - "** HINT: ** \n", - "\n", - "* When we have a model that always predicts '1' (i.e. the individual makes more than 50k) then our model will have no True Negatives(TN) or False Negatives(FN) as we are not making any negative('0' value) predictions. Therefore our Accuracy in this case becomes the same as our Precision(True Positives/(True Positives + False Positives)) as every prediction that we have made with value '1' that should have '0' becomes a False Positive; therefore our denominator in this case is the total number of records we have in total. \n", - "* Our Recall score(True Positives/(True Positives + False Negatives)) in this setting becomes 1 as we have no False Negatives." - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "11208\n", - "0.291729135432\n", - "Naive Predictor: [Accuracy score: 0.2478, F-score: 0.2917]\n" - ] - } - ], - "source": [ - "'''\n", - "TP = np.sum(income) # Counting the ones as this is the naive case. Note that 'income' is the 'income_raw' data \n", - "encoded to numerical values done in the data preprocessing step.\n", - "FP = income.count() - TP # Specific to the naive case\n", - "\n", - "TN = 0 # No predicted negatives in the naive case\n", - "FN = 0 # No predicted negatives in the naive case\n", - "'''\n", - "# TODO: Calculate accuracy, precision and recall\n", - "from sklearn.metrics import accuracy_score\n", - "true_positives = np.sum(income) #This adds up the 1s, (column with >50k have value of 1)\n", - "total_data_points = income_raw.count()\n", - "false_positives = income_raw.count() - true_positives\n", - "\n", - "true_negatives = 0\n", - "false_negatives = 0\n", - "print(true_positives)\n", - "#print(type(true_positives[0]))\n", - "#print(type(total_data_points))\n", - "\n", - "accuracy = true_positives/ total_data_points\n", - "precision = true_positives/(true_positives + false_positives)\n", - "recall = true_positives/(true_positives + false_negatives)\n", - "\n", - "\n", - "# TODO: Calculate F-score using the formula above for beta = 0.5 and correct values for precision and recall.\n", - "# HINT: The formula above can be written as (1 + beta**2) * (precision * recall) / ((beta**2 * precision) + recall)\n", - "beta = 0.5\n", - "fscore = (1 + beta**2) * (precision * recall)/((beta**2 * precision) + recall)\n", - "print(fscore)\n", - "# Print the results \n", - "print(\"Naive Predictor: [Accuracy score: {:.4f}, F-score: {:.4f}]\".format(accuracy, fscore))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Supervised Learning Models\n", - "**The following are some of the supervised learning models that are currently available in** [`scikit-learn`](http://scikit-learn.org/stable/supervised_learning.html) **that you may choose from:**\n", - "- Gaussian Naive Bayes (GaussianNB)\n", - "- Decision Trees\n", - "- Ensemble Methods (Bagging, AdaBoost, Random Forest, Gradient Boosting)\n", - "- K-Nearest Neighbors (KNeighbors)\n", - "- Stochastic Gradient Descent Classifier (SGDC)\n", - "- Support Vector Machines (SVM)\n", - "- Logistic Regression" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 2 - Model Application\n", - "List three of the supervised learning models above that are appropriate for this problem that you will test on the census data. For each model chosen\n", - "\n", - "- Describe one real-world application in industry where the model can be applied. \n", - "- What are the strengths of the model; when does it perform well?\n", - "- What are the weaknesses of the model; when does it perform poorly?\n", - "- What makes this model a good candidate for the problem, given what you know about the data?\n", - "\n", - "** HINT: **\n", - "\n", - "Structure your answer in the same format as above^, with 4 parts for each of the three models you pick. Please include references with your answer." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: **\n", - "\n", - "**Gaussian Naive Bayes**\n", - "* Can be used to mark emails as spam or not spam. Or classifying news articles\n", - "* Performs well in classification problems, especially in supervised learning\n", - "* The assumptions that Naive Bayes makes in conditional probabilities can often be inaccurate. It assumes that all features are independent of each other, while in the real world lot of these features can be dependent on each other\n", - "* The data-set is not extremely large, and Gaussian Naive Bayes performs well under these conditions. Moreover, it's easy to train the classifier given that the set of features are not very large\n", - "\n", - "**Decision Trees**\n", - "* Used in situations where the outputs are non binary. Can also be used in classification problems\n", - "* Relatively easier to understand and interpret, since it is a 'white box' model\n", - "* Prone to information gain, leading to high bias for some attributes\n", - "* With the given data-set, there might be features that do not interact linearly. Decision trees can perform well in this regard. Moreover, combined with ensemble methods like bagging and boosting, they can be quite effective\n", - "\n", - "**Random forest**\n", - "* Used for solving some of the overfitting problems in decision trees and other ML algorithms\n", - "* Can handle non-binary classification problems quite well. Quite fast to train\n", - "* With random sampling, all features might be treated equally and contribute to the final outcome\n", - "* With this given data-set, random forest can be faster to train, can also handle large number of training examples\n", - "\n", - "**Support Vector Machines**\n", - "* Used in text classification problems, face detection and in the health industry\n", - "* Performs quite well in classification problems, and better than logistical regression methods. Guarantees to reach the global minimum rather than local minimum\n", - "* Doesn't take into account the structure of the data or its order. Training time can get high with large datasets\n", - "* It's less prone to overfitting some of the features in the data-set, and it can generalize well\n", - "\n", - "\n", - "\n", - "Sources:\n", - "* http://www.cs.cornell.edu/~caruana/ctp/ct.papers/caruana.icml06.pdf\n", - "* https://en.wikipedia.org/wiki/Naive_Bayes_classifier\n", - "* https://en.wikipedia.org/wiki/Information_gain_in_decision_trees\n", - "* https://www.quora.com/What-are-the-advantages-of-different-classification-algorithms\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation - Creating a Training and Predicting Pipeline\n", - "To properly evaluate the performance of each model you've chosen, it's important that you create a training and predicting pipeline that allows you to quickly and effectively train models using various sizes of training data and perform predictions on the testing data. Your implementation here will be used in the following section.\n", - "In the code block below, you will need to implement the following:\n", - " - Import `fbeta_score` and `accuracy_score` from [`sklearn.metrics`](http://scikit-learn.org/stable/modules/classes.html#sklearn-metrics-metrics).\n", - " - Fit the learner to the sampled training data and record the training time.\n", - " - Perform predictions on the test data `X_test`, and also on the first 300 training points `X_train[:300]`.\n", - " - Record the total prediction time.\n", - " - Calculate the accuracy score for both the training subset and testing set.\n", - " - Calculate the F-score for both the training subset and testing set.\n", - " - Make sure that you set the `beta` parameter!" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# TODO: Import two metrics from sklearn - fbeta_score and accuracy_score\n", - "from sklearn.metrics import fbeta_score\n", - "from sklearn.metrics import accuracy_score\n", - "\n", - "def train_predict(learner, sample_size, X_train, y_train, X_test, y_test): \n", - " '''\n", - " inputs:\n", - " - learner: the learning algorithm to be trained and predicted on\n", - " - sample_size: the size of samples (number) to be drawn from training set\n", - " - X_train: features training set\n", - " - y_train: income training set\n", - " - X_test: features testing set\n", - " - y_test: income testing set\n", - " '''\n", - " \n", - " results = {}\n", - " \n", - " # TODO: Fit the learner to the training data using slicing with 'sample_size' using .fit(training_features[:], training_labels[:])\n", - " start = time() # Get start time\n", - " learner = learner.fit(X_train[:sample_size], y_train[:sample_size])\n", - " end = time() # Get end time\n", - " \n", - " # TODO: Calculate the training time\n", - " results['train_time'] = end - start\n", - " \n", - " # TODO: Get the predictions on the test set(X_test),\n", - " # then get predictions on the first 300 training samples(X_train) using .predict()\n", - " start = time() # Get start time\n", - " predictions_test = learner.predict(X_test)\n", - " predictions_train = learner.predict(X_train[:300])\n", - " end = time() # Get end time\n", - " \n", - " # TODO: Calculate the total prediction time\n", - " results['pred_time'] = end - start\n", - " \n", - " # TODO: Compute accuracy on the first 300 training samples which is y_train[:300]\n", - " results['acc_train'] = accuracy_score(y_train[:300], predictions_train)\n", - " \n", - " # TODO: Compute accuracy on test set using accuracy_score()\n", - " results['acc_test'] = accuracy_score(y_test, predictions_test)\n", - " \n", - " # TODO: Compute F-score on the the first 300 training samples using fbeta_score()\n", - " results['f_train'] = fbeta_score(y_train[:300], predictions_train, beta=0.5)\n", - " \n", - " # TODO: Compute F-score on the test set which is y_test\n", - " results['f_test'] = fbeta_score(y_test, predictions_test, beta=0.5)\n", - " \n", - " # Success\n", - " print(\"{} trained on {} samples.\".format(learner.__class__.__name__, sample_size))\n", - " \n", - " # Return the results\n", - " return results" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Initial Model Evaluation\n", - "In the code cell, you will need to implement the following:\n", - "- Import the three supervised learning models you've discussed in the previous section.\n", - "- Initialize the three models and store them in `'clf_A'`, `'clf_B'`, and `'clf_C'`.\n", - " - Use a `'random_state'` for each model you use, if provided.\n", - " - **Note:** Use the default settings for each model — you will tune one specific model in a later section.\n", - "- Calculate the number of records equal to 1%, 10%, and 100% of the training data.\n", - " - Store those values in `'samples_1'`, `'samples_10'`, and `'samples_100'` respectively.\n", - "\n", - "**Note:** Depending on which algorithms you chose, the following implementation may take some time to run!" - ] - }, - { - "cell_type": "code", - "execution_count": 67, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "GaussianNB trained on 361 samples.\n", - "GaussianNB trained on 3617 samples.\n", - "GaussianNB trained on 36177 samples.\n", - "DecisionTreeClassifier trained on 361 samples.\n", - "DecisionTreeClassifier trained on 3617 samples.\n", - "DecisionTreeClassifier trained on 36177 samples.\n", - "RandomForestClassifier trained on 361 samples.\n", - "RandomForestClassifier trained on 3617 samples.\n", - "RandomForestClassifier trained on 36177 samples.\n", - "VERSION:\n", - "2.0.2\n" - ] - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxIAAAIuCAYAAAArCz6pAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n0tYAAAAASUVORK5CYII=\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# TODO: Import the three supervised learning models from sklearn\n", - "from sklearn.naive_bayes import GaussianNB\n", - "from sklearn.tree import DecisionTreeClassifier\n", - "from sklearn.ensemble import RandomForestClassifier\n", - "\n", - "# TODO: Initialize the three models\n", - "clf_A = GaussianNB()\n", - "clf_B = DecisionTreeClassifier(random_state=None)\n", - "clf_C = RandomForestClassifier(max_depth=None, random_state=None)\n", - "\n", - "# TODO: Calculate the number of samples for 1%, 10%, and 100% of the training data\n", - "# HINT: samples_100 is the entire training set i.e. len(y_train)\n", - "# HINT: samples_10 is 10% of samples_100\n", - "# HINT: samples_1 is 1% of samples_100\n", - "\n", - "samples_100 = len(y_train)\n", - "samples_10 = int(len(y_train)*10/100)\n", - "samples_1 = int(len(y_train)*1/100)\n", - "\n", - "# Collect results on the learners\n", - "results = {}\n", - "for clf in [clf_A, clf_B, clf_C]:\n", - " clf_name = clf.__class__.__name__\n", - " results[clf_name] = {}\n", - " for i, samples in enumerate([samples_1, samples_10, samples_100]):\n", - " results[clf_name][i] = \\\n", - " train_predict(clf, samples, X_train, y_train, X_test, y_test)\n", - "\n", - "# Run metrics visualization for the three supervised learning models chosen\n", - "#print(results)\n", - "vs.evaluate(results, accuracy, fscore)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "----\n", - "## Improving Results\n", - "In this final section, you will choose from the three supervised learning models the *best* model to use on the student data. You will then perform a grid search optimization for the model over the entire training set (`X_train` and `y_train`) by tuning at least one parameter to improve upon the untuned model's F-score. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 3 - Choosing the Best Model\n", - "\n", - "* Based on the evaluation you performed earlier, in one to two paragraphs, explain to *CharityML* which of the three models you believe to be most appropriate for the task of identifying individuals that make more than \\$50,000. \n", - "\n", - "** HINT: ** \n", - "Look at the graph at the bottom left from the cell above(the visualization created by `vs.evaluate(results, accuracy, fscore)`) and check the F score for the testing set when 100% of the training set is used. Which model has the highest score? Your answer should include discussion of the:\n", - "* metrics - F score on the testing when 100% of the training data is used, \n", - "* prediction/training time\n", - "* the algorithm's suitability for the data." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: **\n", - "\n", - "Based on the results, I most definitely believe that a random forest model will be most appropriate for this task.\n", - "\n", - "* When 100% of the training data is used, The F score for Random forest is higher (0.674) compared to other models (Decision trees - 0.624 and Gaussian Naive Bayes - 0.42)\n", - "* Training time Gaussian Naive Bayes: \n", - " * train_time': Training time: 0.06458330154418945 Prediction Time: 0.018869876861572266\n", - " * Decision Trees: Training time: 0.43198680877685547, Prediction Time: 0.005912303924560547\n", - " * Random forest: Training time: 0.5828454494476318, Prediction Time: 0.034857749938964844\n", - " \n", - " The training and prediction time is higher than the other models\n", - "\n", - "* Based on these factors, random forest is better suited to make predictions. It performs fairly well and the training time and prediction times are on acceptable levels. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 4 - Describing the Model in Layman's Terms\n", - "\n", - "* In one to two paragraphs, explain to *CharityML*, in layman's terms, how the final model chosen is supposed to work. Be sure that you are describing the major qualities of the model, such as how the model is trained and how the model makes a prediction. Avoid using advanced mathematical jargon, such as describing equations.\n", - "\n", - "** HINT: **\n", - "\n", - "When explaining your model, if using external resources please include all citations.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: ** \n", - "\n", - "To understand how Random Forest works, we need to first understand how the *Decision Tree* algorithm works.\n", - "\n", - "A Decision tree is a classification algorithm that uses tree-like data structures to model decisions and their possible outcomes. The way the algorithm works is - \n", - "\n", - "* Place the best attribute of the dataset at the root of the tree.\n", - "* The nodes, or the place where a branch splits, is often called the 'decision node'. It usually represents a test/conditional. (Eg. If it's cloudy or sunny)\n", - "* The branches represent the outcome of each decision.\n", - "* The leaf nodes indicate the final outcome, or the label (in classification problems)\n", - " \n", - "\n", - "When used alone, decision trees are prone to overfitting. However, random forests help by correcting the possible overfitting that could occur. Random forests work by using multiple decision trees - using a multitude of different decision trees with different predictions, a random forest combines the results of those individual trees to give the final outcomes.\n", - "\n", - "Random forest applies an ensemble algorithm called *bagging* to the decision trees, which help reduce variance and overfitting - \n", - "\n", - "* Given a training set X = x1, ..., xn with the labels/outcomes Y = y1, ..., yn, bagging repeatedly (B times) selects a random sample with replacement of the training set\n", - "* Train decision trees with those samples\n", - "* Make the classifications by taking the majority vote of the classification trees\n", - "\n", - "\n", - "Out of all the tested models, random forest also seems like the best candidate to try tuning the hyper-parameters, and using other ensemble methods, like gradient boosting. This would result in improved accuracy scores.\n", - "\n", - "**References:** \n", - "* https://en.wikipedia.org/wiki/Decision_tree\n", - "* https://en.wikipedia.org/wiki/Random_forest\n", - "* http://dataaspirant.com/2017/05/22/random-forest-algorithm-machine-learing/" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Model Tuning\n", - "Fine tune the chosen model. Use grid search (`GridSearchCV`) with at least one important parameter tuned with at least 3 different values. You will need to use the entire training set for this. In the code cell below, you will need to implement the following:\n", - "- Import [`sklearn.grid_search.GridSearchCV`](http://scikit-learn.org/0.17/modules/generated/sklearn.grid_search.GridSearchCV.html) and [`sklearn.metrics.make_scorer`](http://scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html).\n", - "- Initialize the classifier you've chosen and store it in `clf`.\n", - " - Set a `random_state` if one is available to the same state you set before.\n", - "- Create a dictionary of parameters you wish to tune for the chosen model.\n", - " - Example: `parameters = {'parameter' : [list of values]}`.\n", - " - **Note:** Avoid tuning the `max_features` parameter of your learner if that parameter is available!\n", - "- Use `make_scorer` to create an `fbeta_score` scoring object (with $\\beta = 0.5$).\n", - "- Perform grid search on the classifier `clf` using the `'scorer'`, and store it in `grid_obj`.\n", - "- Fit the grid search object to the training data (`X_train`, `y_train`), and store it in `grid_fit`.\n", - "\n", - "**Note:** Depending on the algorithm chosen and the parameter list, the following implementation may take some time to run!" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Unoptimized model\n", - "------\n", - "Accuracy score on testing data: 0.8375\n", - "F-score on testing data: 0.6710\n", - "\n", - "Optimized Model\n", - "------\n", - "Final accuracy score on the testing data: 0.8417\n", - "Final F-score on the testing data: 0.6799\n" - ] - } - ], - "source": [ - "# TODO: Import 'GridSearchCV', 'make_scorer', and any other necessary libraries\n", - "from sklearn.model_selection import GridSearchCV\n", - "from sklearn.metrics import make_scorer\n", - "# TODO: Initialize the classifier\n", - "clf = RandomForestClassifier(max_depth=None, random_state=None)\n", - "\n", - "# TODO: Create the parameters list you wish to tune, using a dictionary if needed.\n", - "# HINT: parameters = {'parameter_1': [value1, value2], 'parameter_2': [value1, value2]}\n", - "parameters = {'n_estimators': [20, 40, 60], 'warm_start': [False, True], 'criterion': ['gini', 'entropy'], 'bootstrap': [True, False]}\n", - "\n", - "# TODO: Make an fbeta_score scoring object using make_scorer()\n", - "scorer = make_scorer(fbeta_score, beta=0.5)\n", - "\n", - "# TODO: Perform grid search on the classifier using 'scorer' as the scoring method using GridSearchCV()\n", - "grid_obj = GridSearchCV(clf, parameters, scoring=scorer)\n", - "\n", - "# TODO: Fit the grid search object to the training data and find the optimal parameters using fit()\n", - "grid_fit = grid_obj.fit(X_train, y_train)\n", - "\n", - "# Get the estimator\n", - "best_clf = grid_fit.best_estimator_\n", - "\n", - "# Make predictions using the unoptimized and model\n", - "predictions = (clf.fit(X_train, y_train)).predict(X_test)\n", - "best_predictions = best_clf.predict(X_test)\n", - "\n", - "# Report the before-and-afterscores\n", - "print(\"Unoptimized model\\n------\")\n", - "print(\"Accuracy score on testing data: {:.4f}\".format(accuracy_score(y_test, predictions)))\n", - "print(\"F-score on testing data: {:.4f}\".format(fbeta_score(y_test, predictions, beta = 0.5)))\n", - "print(\"\\nOptimized Model\\n------\")\n", - "print(\"Final accuracy score on the testing data: {:.4f}\".format(accuracy_score(y_test, best_predictions)))\n", - "print(\"Final F-score on the testing data: {:.4f}\".format(fbeta_score(y_test, best_predictions, beta = 0.5)))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 5 - Final Model Evaluation\n", - "\n", - "* What is your optimized model's accuracy and F-score on the testing data? \n", - "* Are these scores better or worse than the unoptimized model? \n", - "* How do the results from your optimized model compare to the naive predictor benchmarks you found earlier in **Question 1**?_ \n", - "\n", - "**Note:** Fill in the table below with your results, and then provide discussion in the **Answer** box." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Results:\n", - "\n", - "| Metric | Unoptimized Model | Optimized Model |\n", - "| :------------: | :---------------: | :-------------: | \n", - "| Accuracy Score | 0.8375 | 0.8417 |\n", - "| F-score | 0.6710 | 0.6799 |\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: **\n", - "Both the scores seem to be improving slightly, but not conclusive enough. One possible reason could be that all the features in the data-set are given equal importance. Some other not-so-relevant features might also be interfering with the training" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "----\n", - "## Feature Importance\n", - "\n", - "An important task when performing supervised learning on a dataset like the census data we study here is determining which features provide the most predictive power. By focusing on the relationship between only a few crucial features and the target label we simplify our understanding of the phenomenon, which is most always a useful thing to do. In the case of this project, that means we wish to identify a small number of features that most strongly predict whether an individual makes at most or more than \\$50,000.\n", - "\n", - "Choose a scikit-learn classifier (e.g., adaboost, random forests) that has a `feature_importance_` attribute, which is a function that ranks the importance of features according to the chosen classifier. In the next python cell fit this classifier to training set and use this attribute to determine the top 5 most important features for the census dataset." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 6 - Feature Relevance Observation\n", - "When **Exploring the Data**, it was shown there are thirteen available features for each individual on record in the census data. Of these thirteen records, which five features do you believe to be most important for prediction, and in what order would you rank them and why?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer:**\n", - "\n", - "* **Capital Gain:** This can also be a big factor, since it's directly related to how much income a person generates.\n", - "* **Occupation:** I believe that this plays an important role, because the income of a person is usually related to the kind of work the individual does. People working in higher end managerial roles usually have higher paycheques\n", - "* **Working Class:** People working in private sectors, federal government, and self emplyed folks make better living than other people.\n", - "* **Education:** People who have advanced degrees have better incomes than those without\n", - "* **Native Country:** People in developed countries have higher incomes and higher standards of living, so they're more likely to contribute, as compared to developing countries.\n", - "\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation - Extracting Feature Importance\n", - "Choose a `scikit-learn` supervised learning algorithm that has a `feature_importance_` attribute availble for it. This attribute is a function that ranks the importance of each feature when making predictions based on the chosen algorithm.\n", - "\n", - "In the code cell below, you will need to implement the following:\n", - " - Import a supervised learning model from sklearn if it is different from the three used earlier.\n", - " - Train the supervised model on the entire training set.\n", - " - Extract the feature importances using `'.feature_importances_'`." - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAoAAAAFgCAYAAAArYcg8AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# TODO: Import a supervised learning model that has 'feature_importances_'\n", - "from sklearn.tree import DecisionTreeRegressor\n", - "from sklearn.ensemble import AdaBoostRegressor\n", - "\n", - "# TODO: Train the supervised model on the training set using .fit(X_train, y_train)\n", - "model = AdaBoostRegressor(DecisionTreeRegressor(max_depth=None, random_state=None))\n", - "model = model.fit(X_train, y_train)\n", - "# TODO: Extract the feature importances using .feature_importances_ \n", - "importances = model.feature_importances_\n", - "# Plot\n", - "vs.feature_plot(importances, X_train, y_train)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 7 - Extracting Feature Importance\n", - "\n", - "Observe the visualization created above which displays the five most relevant features for predicting if an individual makes at most or above \\$50,000. \n", - "* How do these five features compare to the five features you discussed in **Question 6**?\n", - "* If you were close to the same answer, how does this visualization confirm your thoughts? \n", - "* If you were not close, why do you think these features are more relevant?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer:**\n", - "Looks like I was way off with my guesses. Looks like some other factors are more relevant than what I previously assumed.\n", - "\n", - "* ** Age:** Middle aged people are more like to donate, because they would have made substantial savings\n", - "* **Hours per week:** Business-men often work for longer hours, this could be an indicator.\n", - "* **Marital Status:** Married people have a good support system, and if both the partners earn then the probability of donating to a charity is higher\n", - "* **Education Number:** Number of years of education makes sense.\n", - "* **Capital Gain:** I had guesed this feature to be a major factor before" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Feature Selection\n", - "How does a model perform if we only use a subset of all the available features in the data? With less features required to train, the expectation is that training and prediction time is much lower — at the cost of performance metrics. From the visualization above, we see that the top five most important features contribute more than half of the importance of **all** features present in the data. This hints that we can attempt to *reduce the feature space* and simplify the information required for the model to learn. The code cell below will use the same optimized model you found earlier, and train it on the same training set *with only the top five important features*. " - ] - }, - { - "cell_type": "code", - "execution_count": 66, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Final Model trained on full data\n", - "------\n", - "Accuracy on testing data: 0.8417\n", - "F-score on testing data: 0.6799\n", - "\n", - "Final Model trained on reduced data\n", - "------\n", - "Accuracy on testing data: 0.8345\n", - "F-score on testing data: 0.6651\n" - ] - } - ], - "source": [ - "# Import functionality for cloning a model\n", - "from sklearn.base import clone\n", - "\n", - "# Reduce the feature space\n", - "X_train_reduced = X_train[X_train.columns.values[(np.argsort(importances)[::-1])[:5]]]\n", - "X_test_reduced = X_test[X_test.columns.values[(np.argsort(importances)[::-1])[:5]]]\n", - "\n", - "# Train on the \"best\" model found from grid search earlier\n", - "clf = (clone(best_clf)).fit(X_train_reduced, y_train)\n", - "\n", - "# Make new predictions\n", - "reduced_predictions = clf.predict(X_test_reduced)\n", - "\n", - "# Report scores from the final model using both versions of data\n", - "print(\"Final Model trained on full data\\n------\")\n", - "print(\"Accuracy on testing data: {:.4f}\".format(accuracy_score(y_test, best_predictions)))\n", - "print(\"F-score on testing data: {:.4f}\".format(fbeta_score(y_test, best_predictions, beta = 0.5)))\n", - "print(\"\\nFinal Model trained on reduced data\\n------\")\n", - "print(\"Accuracy on testing data: {:.4f}\".format(accuracy_score(y_test, reduced_predictions)))\n", - "print(\"F-score on testing data: {:.4f}\".format(fbeta_score(y_test, reduced_predictions, beta = 0.5)))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 8 - Effects of Feature Selection\n", - "\n", - "* How does the final model's F-score and accuracy score on the reduced data using only five features compare to those same scores when all features are used?\n", - "* If training time was a factor, would you consider using the reduced data as your training set?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer:**\n", - "Actually the final model's F-score and accuracy seems to be decreasing slightly. Maybe some more features need to be included in.\n", - "\n", - "The training time isn't much, so I'd use the complete data as my training set. But in a scenario where there are lots of samples, I'd consider using the reduced data-set. Although, there might be certain trade-offs between training time and performance." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "> **Note**: Once you have completed all of the code implementations and successfully answered each question above, you may finalize your work by exporting the iPython Notebook as an HTML document. You can do this by using the menu above and navigating to \n", - "**File -> Download as -> HTML (.html)**. Include the finished document along with this notebook as your submission." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.1" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/finding_donors/README.md b/finding_donors/README.md deleted file mode 100644 index 228d3ea..0000000 --- a/finding_donors/README.md +++ /dev/null @@ -1,58 +0,0 @@ -# Machine Learning Engineer Nanodegree -# Supervised Learning -## Project: Finding Donors for CharityML - -## Here's the [review](https://review.udacity.com/#!/reviews/786016/shared) for my work in this project - -### Install - -This project requires **Python 2.7** and the following Python libraries installed: - -- [NumPy](http://www.numpy.org/) -- [Pandas](http://pandas.pydata.org) -- [matplotlib](http://matplotlib.org/) -- [scikit-learn](http://scikit-learn.org/stable/) - -You will also need to have software installed to run and execute an [iPython Notebook](http://ipython.org/notebook.html) - -We recommend students install [Anaconda](https://www.continuum.io/downloads), a pre-packaged Python distribution that contains all of the necessary libraries and software for this project. - -### Code - -Template code is provided in the `finding_donors.ipynb` notebook file. You will also be required to use the included `visuals.py` Python file and the `census.csv` dataset file to complete your work. While some code has already been implemented to get you started, you will need to implement additional functionality when requested to successfully complete the project. Note that the code included in `visuals.py` is meant to be used out-of-the-box and not intended for students to manipulate. If you are interested in how the visualizations are created in the notebook, please feel free to explore this Python file. - -### Run - -In a terminal or command window, navigate to the top-level project directory `finding_donors/` (that contains this README) and run one of the following commands: - -```bash -ipython notebook finding_donors.ipynb -``` -or -```bash -jupyter notebook finding_donors.ipynb -``` - -This will open the iPython Notebook software and project file in your browser. - -### Data - -The modified census dataset consists of approximately 32,000 data points, with each datapoint having 13 features. This dataset is a modified version of the dataset published in the paper *"Scaling Up the Accuracy of Naive-Bayes Classifiers: a Decision-Tree Hybrid",* by Ron Kohavi. You may find this paper [online](https://www.aaai.org/Papers/KDD/1996/KDD96-033.pdf), with the original dataset hosted on [UCI](https://archive.ics.uci.edu/ml/datasets/Census+Income). - -**Features** -- `age`: Age -- `workclass`: Working Class (Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked) -- `education_level`: Level of Education (Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool) -- `education-num`: Number of educational years completed -- `marital-status`: Marital status (Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse) -- `occupation`: Work Occupation (Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces) -- `relationship`: Relationship Status (Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried) -- `race`: Race (White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other, Black) -- `sex`: Sex (Female, Male) -- `capital-gain`: Monetary Capital Gains -- `capital-loss`: Monetary Capital Losses -- `hours-per-week`: Average Hours Per Week Worked -- `native-country`: Native Country (United-States, Cambodia, England, Puerto-Rico, Canada, Germany, Outlying-US(Guam-USVI-etc), India, Japan, Greece, South, China, Cuba, Iran, Honduras, Philippines, Italy, Poland, Jamaica, Vietnam, Mexico, Portugal, Ireland, France, Dominican-Republic, Laos, Ecuador, Taiwan, Haiti, Columbia, Hungary, Guatemala, Nicaragua, Scotland, Thailand, Yugoslavia, El-Salvador, Trinadad&Tobago, Peru, Hong, Holand-Netherlands) - -**Target Variable** -- `income`: Income Class (<=50K, >50K) diff --git a/finding_donors/census.csv b/finding_donors/census.csv deleted file mode 100644 index b1a82ef..0000000 --- a/finding_donors/census.csv +++ /dev/null @@ -1,45223 +0,0 @@ -age,workclass,education_level,education-num,marital-status,occupation,relationship,race,sex,capital-gain,capital-loss,hours-per-week,native-country,income -39, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,2174.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,13.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,40.0, Cuba,<=50K -37, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, 9th,5.0, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0.0,0.0,16.0, Jamaica,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,14084.0,0.0,50.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,80.0, United-States,>50K -30, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,>50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -32, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,45.0, Mexico,<=50K -25, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Self-emp-not-inc, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,>50K -40, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -54, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -35, Federal-gov, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,2042.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Local-gov, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,80.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Local-gov, Assoc-acdm,12.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,44.0, United-States,<=50K -45, Private, Bachelors,13.0, Divorced, Exec-managerial, Own-child, White, Male,0.0,1408.0,40.0, United-States,<=50K -30, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, State-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,15.0, United-States,<=50K -48, Private, 11th,7.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -21, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Married-AF-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -48, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -53, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -49, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -57, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -44, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, State-gov, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,43.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, Other, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1902.0,60.0, Honduras,>50K -50, Federal-gov, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -47, Self-emp-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,2407.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -29, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,58.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -49, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -31, Private, Bachelors,13.0, Separated, Sales, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -79, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -40, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,22.0, United-States,<=50K -31, Local-gov, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Cuba,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Female,14344.0,0.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -49, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, 9th,5.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -57, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -34, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Local-gov, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -48, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, England,<=50K -32, Federal-gov, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -76, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -47, Self-emp-not-inc, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -30, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,1887.0,50.0, Canada,>50K -28, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,4064.0,0.0,25.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -49, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -55, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,41.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, Black, Male,0.0,0.0,40.0, Germany,<=50K -29, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,1719.0,28.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,1762.0,40.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,35.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Divorced, Tech-support, Not-in-family, Black, Female,0.0,0.0,36.0, United-States,<=50K -38, Federal-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Iran,>50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -61, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, Mexico,<=50K -45, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1564.0,40.0, United-States,>50K -70, Private, Some-college,10.0, Never-married, Tech-support, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -36, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -64, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2179.0,40.0, United-States,<=50K -47, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, Mexico,<=50K -34, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -71, Self-emp-not-inc, Some-college,10.0, Separated, Sales, Unmarried, Black, Male,0.0,1816.0,2.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -42, Private, Bachelors,13.0, Separated, Other-service, Other-relative, Black, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-inc, Masters,14.0, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, England,<=50K -45, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -39, Federal-gov, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -46, State-gov, Masters,14.0, Widowed, Protective-serv, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -66, Local-gov, Assoc-voc,11.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,1980.0,40.0, United-States,<=50K -28, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -28, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Married-spouse-absent, Sales, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -44, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,38.0, United-States,>50K -43, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,>50K -37, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -58, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,1.0, United-States,>50K -38, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,28.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Federal-gov, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -23, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -36, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Federal-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,14084.0,0.0,55.0, United-States,>50K -35, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,7298.0,0.0,40.0, United-States,>50K -24, Self-emp-not-inc, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1876.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1340.0,40.0, United-States,<=50K -37, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, Black, Male,7298.0,0.0,36.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -58, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,15024.0,0.0,35.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -44, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-inc, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,60.0, United-States,>50K -50, Private, Assoc-acdm,12.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, Poland,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -25, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -90, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,2206.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,20.0, United-States,<=50K -53, Local-gov, Preschool,1.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,1409.0,0.0,50.0, United-States,<=50K -75, Private, Assoc-voc,11.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, Columbia,<=50K -65, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, 11th,7.0, Separated, Transport-moving, Not-in-family, Black, Male,3674.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Sales, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Craft-repair, Other-relative, Other, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -59, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, Iran,>50K -38, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -24, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,1741.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,34.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -41, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -59, Local-gov, 10th,6.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -19, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Cambodia,>50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -50, Private, 7th-8th,4.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -26, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,75.0, Thailand,>50K -64, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -61, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 9th,5.0, Never-married, Other-service, Own-child, White, Male,1055.0,0.0,24.0, United-States,<=50K -50, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,2407.0,0.0,98.0, United-States,<=50K -27, Local-gov, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -35, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,7298.0,0.0,48.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,15.0, Germany,<=50K -42, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -34, Private, Assoc-acdm,12.0, Divorced, Sales, Unmarried, Black, Female,0.0,0.0,45.0, United-States,<=50K -60, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Federal-gov, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -41, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -50, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Ecuador,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,56.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -65, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -37, Self-emp-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,80.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,25.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Laos,<=50K -43, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,33.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,54.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7298.0,0.0,35.0, Taiwan,>50K -36, Self-emp-not-inc, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -77, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, Mexico,<=50K -29, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1485.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, 11th,7.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -76, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -63, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1887.0,50.0, United-States,>50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,2050.0,0.0,55.0, United-States,<=50K -41, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,45.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Local-gov, 10th,6.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 5th-6th,3.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,48.0, Mexico,<=50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Male,0.0,0.0,30.0, Haiti,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -36, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -22, State-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -56, Private, Assoc-acdm,12.0, Married-spouse-absent, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, Iran,<=50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Local-gov, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -38, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -65, Private, 11th,7.0, Widowed, Other-service, Unmarried, Other, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -26, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -36, Private, 10th,6.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,24.0, United-States,<=50K -62, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,1564.0,45.0, United-States,>50K -22, Private, HS-grad,9.0, Married-spouse-absent, Sales, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -57, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -39, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,15.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -40, State-gov, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -54, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 5th-6th,3.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,2339.0,45.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -29, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,2415.0,6.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Self-emp-not-inc, Assoc-acdm,12.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -52, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,64.0, United-States,<=50K -28, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0.0,2179.0,40.0, Puerto-Rico,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,65.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Local-gov, Some-college,10.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,24.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -31, State-gov, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 12th,8.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -52, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -30, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,19.0, United-States,<=50K -34, Local-gov, 11th,7.0, Separated, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, State-gov, HS-grad,9.0, Divorced, Transport-moving, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,2176.0,0.0,18.0, United-States,<=50K -32, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 10th,6.0, Never-married, Craft-repair, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Federal-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,1408.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,72.0, Dominican-Republic,<=50K -63, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,2174.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,25.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0.0,1980.0,40.0, Philippines,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Local-gov, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, Black, Male,594.0,0.0,60.0, United-States,<=50K -34, Local-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -24, Federal-gov, HS-grad,9.0, Never-married, Armed-Forces, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, 9th,5.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -44, Private, HS-grad,9.0, Widowed, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -60, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Private, 1st-4th,2.0, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,60.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,16.0, United-States,>50K -60, Private, Some-college,10.0, Never-married, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -67, Private, Assoc-voc,11.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -46, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 9th,5.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,6.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -27, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, Portugal,<=50K -43, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -28, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Married-spouse-absent, Adm-clerical, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -59, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -40, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -46, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 5th-6th,3.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -26, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -23, Local-gov, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, Poland,<=50K -62, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,42.0, France,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,8.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, HS-grad,9.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Assoc-voc,11.0, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0.0,1380.0,42.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,20.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,80.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -24, Local-gov, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -37, Local-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -44, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,58.0, United-States,>50K -28, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -74, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,9.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, 11th,7.0, Divorced, Machine-op-inspct, Unmarried, Other, Female,0.0,0.0,46.0, Puerto-Rico,<=50K -26, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -67, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051.0,0.0,48.0, United-States,>50K -39, Local-gov, 12th,8.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Private, 1st-4th,2.0, Widowed, Priv-house-serv, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-inc, Bachelors,13.0, Never-married, Farming-fishing, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Doctorate,16.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -58, Private, 10th,6.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,8.0, United-States,<=50K -35, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,36.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -72, Private, 11th,7.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Federal-gov, Assoc-voc,11.0, Divorced, Craft-repair, Unmarried, Black, Female,0.0,0.0,40.0, United-States,>50K -69, Private, 11th,7.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,32.0, United-States,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -28, Private, Bachelors,13.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -47, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,48.0, United-States,<=50K -43, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013.0,0.0,45.0, United-States,<=50K -45, Private, 7th-8th,4.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -47, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,42.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -27, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Male,0.0,0.0,40.0, United-States,>50K -36, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -58, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -59, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,47.0, United-States,>50K -57, Self-emp-inc, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,80.0, United-States,<=50K -60, Private, 7th-8th,4.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,48.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, Canada,>50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,2174.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,28.0, United-States,<=50K -60, Private, 7th-8th,4.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,37.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, HS-grad,9.0, Separated, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,21.0, United-States,<=50K -52, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,6849.0,0.0,60.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,1055.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,45.0, United-States,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -52, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -46, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, 11th,7.0, Widowed, Other-service, Not-in-family, Black, Female,0.0,0.0,20.0, United-States,<=50K -65, Private, 9th,5.0, Widowed, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,24.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -47, Private, 9th,5.0, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -30, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, Black, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,64.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,26.0, United-States,>50K -47, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, 10th,6.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,14.0, United-States,<=50K -21, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -47, Self-emp-inc, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, Cuba,<=50K -52, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -26, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -50, Self-emp-inc, Doctorate,16.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -31, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -71, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -30, State-gov, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Exec-managerial, Other-relative, White, Male,4101.0,0.0,50.0, United-States,<=50K -35, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Taiwan,>50K -38, State-gov, Some-college,10.0, Separated, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -29, State-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Self-emp-not-inc, 12th,8.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, White, Female,8614.0,0.0,40.0, United-States,>50K -27, State-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3411.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -24, Private, 9th,5.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,1721.0,40.0, United-States,<=50K -48, Federal-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Self-emp-not-inc, 11th,7.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,2597.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Portugal,>50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Local-gov, Some-college,10.0, Separated, Exec-managerial, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -18, State-gov, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,5.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,55.0, United-States,<=50K -41, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,35.0, Dominican-Republic,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,30.0, United-States,<=50K -54, Local-gov, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,45.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -23, State-gov, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -31, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, Poland,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, Bachelors,13.0, Widowed, Sales, Unmarried, White, Female,0.0,1380.0,40.0, Cuba,<=50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -31, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Doctorate,16.0, Divorced, Prof-specialty, Unmarried, White, Female,25236.0,0.0,65.0, United-States,>50K -44, Private, Bachelors,13.0, Divorced, Exec-managerial, Own-child, White, Female,0.0,0.0,50.0, United-States,>50K -40, Private, 12th,8.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -45, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,4386.0,0.0,40.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, Honduras,<=50K -31, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, State-gov, HS-grad,9.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2051.0,60.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,4650.0,0.0,40.0, United-States,<=50K -50, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -55, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,2377.0,45.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2407.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,36.0, United-States,<=50K -43, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, Black, Female,594.0,0.0,20.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,25.0, United-States,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -42, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,14084.0,0.0,50.0, United-States,>50K -26, Private, Assoc-voc,11.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -32, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, 11th,7.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, Haiti,<=50K -46, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,37.0, United-States,<=50K -29, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -58, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -46, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,18.0, United-States,<=50K -59, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,38.0, United-States,>50K -34, Local-gov, HS-grad,9.0, Divorced, Protective-serv, Unmarried, White, Male,0.0,0.0,40.0, Portugal,<=50K -53, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -51, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -32, Private, 10th,6.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,42.0, United-States,<=50K -31, State-gov, Some-college,10.0, Married-spouse-absent, Other-service, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,30.0, Germany,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -37, Private, 5th-6th,3.0, Separated, Farming-fishing, Not-in-family, White, Male,0.0,0.0,32.0, Guatemala,<=50K -31, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,24.0, United-States,>50K -55, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -23, Local-gov, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,56.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -54, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,1669.0,42.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, Other, Female,0.0,0.0,55.0, United-States,>50K -42, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,38.0, United-States,<=50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,2352.0,50.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -48, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,2463.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,20.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Masters,14.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,35.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,40.0, England,>50K -43, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,1721.0,30.0, United-States,<=50K -68, Self-emp-not-inc, 11th,7.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,48.0, United-States,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103.0,0.0,47.0, United-States,>50K -64, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -30, Private, HS-grad,9.0, Separated, Other-service, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,75.0, Italy,<=50K -41, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -64, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -48, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,46.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1672.0,60.0, United-States,<=50K -57, Private, HS-grad,9.0, Widowed, Transport-moving, Unmarried, White, Male,0.0,653.0,42.0, United-States,>50K -62, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -43, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -24, Self-emp-inc, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,4386.0,0.0,40.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -73, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -63, Private, HS-grad,9.0, Widowed, Farming-fishing, Not-in-family, White, Male,0.0,0.0,6.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -62, Local-gov, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -43, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Local-gov, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -61, Private, Masters,14.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -26, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, State-gov, Doctorate,16.0, Divorced, Prof-specialty, Own-child, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,56.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -48, Private, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -21, Private, 10th,6.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,28.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Self-emp-not-inc, Bachelors,13.0, Separated, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -71, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,10605.0,0.0,40.0, United-States,>50K -51, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,2415.0,40.0, China,>50K -55, Private, 5th-6th,3.0, Divorced, Other-service, Unmarried, Black, Male,0.0,0.0,25.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,7.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -49, Private, 9th,5.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Male,0.0,0.0,40.0, Philippines,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,60.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,28.0, United-States,<=50K -54, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Female,2174.0,0.0,45.0, United-States,<=50K -35, Self-emp-not-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, India,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -42, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -40, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Local-gov, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -51, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Black, Male,0.0,0.0,15.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -53, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -43, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0.0,0.0,50.0, South,<=50K -67, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -81, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,38.0, Mexico,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -33, Private, 1st-4th,2.0, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, Guatemala,<=50K -42, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -51, Local-gov, Preschool,1.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, Mexico,<=50K -37, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103.0,0.0,44.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,99.0, United-States,>50K -47, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -41, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Assoc-acdm,12.0, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -20, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Local-gov, Some-college,10.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1977.0,45.0, United-States,>50K -43, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -44, Self-emp-not-inc, Some-college,10.0, Divorced, Farming-fishing, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -44, State-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -43, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -51, Private, 7th-8th,4.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -33, Local-gov, 10th,6.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, Mexico,<=50K -36, Private, 10th,6.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -55, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -67, Private, Bachelors,13.0, Widowed, Exec-managerial, Not-in-family, White, Male,0.0,2392.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,70.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,4101.0,0.0,40.0, United-States,<=50K -40, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -78, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, Black, Female,2964.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,42.0, United-States,<=50K -45, Local-gov, HS-grad,9.0, Widowed, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -63, Private, Assoc-voc,11.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Widowed, Prof-specialty, Not-in-family, White, Female,3325.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,1504.0,40.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -45, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -48, Federal-gov, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,58.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2580.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,65.0, United-States,>50K -38, State-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,60.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,52.0, United-States,>50K -26, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, Germany,<=50K -51, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -42, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -38, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -48, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -51, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -22, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, Japan,<=50K -48, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -42, Private, HS-grad,9.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, Yugoslavia,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -48, Private, 10th,6.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-inc, Masters,14.0, Married-spouse-absent, Sales, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,50.0, India,<=50K -31, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, State-gov, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Male,0.0,1719.0,20.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,75.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -90, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -28, Private, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -61, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Canada,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -52, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -38, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Iran,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,47.0, United-States,>50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3471.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,32.0, Mexico,<=50K -34, Private, Assoc-acdm,12.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -38, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,80.0, United-States,>50K -36, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -22, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -48, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1902.0,46.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -19, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, Black, Female,0.0,1590.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,50.0, Taiwan,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, State-gov, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -43, Private, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Local-gov, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -41, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,52.0, United-States,>50K -38, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,28.0, United-States,<=50K -41, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, Doctorate,16.0, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,60.0, China,<=50K -34, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0.0,0.0,20.0, India,<=50K -62, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,1977.0,25.0, United-States,>50K -43, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -39, Self-emp-inc, 9th,5.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1651.0,40.0, Mexico,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -34, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,25.0, United-States,>50K -34, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,33.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,47.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -35, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, Mexico,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -37, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -69, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -58, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -53, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Japan,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Female,4865.0,0.0,40.0, United-States,<=50K -34, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -20, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -63, Federal-gov, HS-grad,9.0, Widowed, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Some-college,10.0, Divorced, Other-service, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -37, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, Jamaica,>50K -46, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -35, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,53.0, United-States,<=50K -41, Private, 1st-4th,2.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, Mexico,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -59, Federal-gov, HS-grad,9.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,40.0, Germany,<=50K -40, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,37.0, United-States,<=50K -56, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,44.0, United-States,>50K -30, Self-emp-inc, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -50, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,39.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,54.0, United-States,<=50K -43, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,54.0, Mexico,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,28.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3411.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Widowed, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -54, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1977.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -65, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,10605.0,0.0,20.0, United-States,>50K -88, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -50, Private, 11th,7.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Masters,14.0, Married-civ-spouse, Farming-fishing, Not-in-family, White, Male,0.0,0.0,99.0, United-States,>50K -20, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -50, State-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -47, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Local-gov, 11th,7.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Federal-gov, Some-college,10.0, Never-married, Exec-managerial, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -65, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -24, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,65.0, United-States,<=50K -27, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -49, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -59, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -45, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,80.0, United-States,>50K -30, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -44, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,60.0, United-States,>50K -37, Private, Some-college,10.0, Separated, Adm-clerical, Own-child, White, Male,0.0,0.0,62.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -54, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -48, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,7688.0,0.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,4650.0,0.0,45.0, United-States,<=50K -38, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Widowed, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -42, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, England,<=50K -75, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -52, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, 11th,7.0, Separated, Other-service, Not-in-family, Black, Female,0.0,0.0,42.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Other-relative, White, Female,0.0,0.0,40.0, Cuba,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -55, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -36, State-gov, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,59.0, United-States,>50K -38, Local-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,12.0, United-States,<=50K -62, Private, Some-college,10.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -54, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -49, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -48, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -52, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -28, Self-emp-not-inc, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,1762.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, State-gov, Some-college,10.0, Separated, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -73, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -22, Self-emp-inc, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -50, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,37.0, United-States,<=50K -44, Local-gov, Bachelors,13.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, Black, Female,0.0,0.0,45.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,80.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -67, Private, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,6514.0,0.0,7.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,1876.0,50.0, United-States,<=50K -42, Federal-gov, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,>50K -21, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, Black, Male,0.0,0.0,10.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,5178.0,0.0,40.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -57, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Self-emp-not-inc, 1st-4th,2.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,30.0, El-Salvador,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,35.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1628.0,50.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,57.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Some-college,10.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Federal-gov, Some-college,10.0, Never-married, Armed-Forces, Not-in-family, Black, Male,0.0,0.0,60.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, Japan,<=50K -58, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -36, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -29, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, 5th-6th,3.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Mexico,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -45, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, Canada,>50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -41, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -61, Local-gov, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,1471.0,0.0,35.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -55, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,24.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, India,>50K -24, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -29, Private, 11th,7.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,35.0, United-States,<=50K -57, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,3674.0,0.0,16.0, United-States,<=50K -39, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -71, Private, Bachelors,13.0, Divorced, Tech-support, Own-child, White, Female,2329.0,0.0,16.0, United-States,<=50K -38, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, State-gov, Prof-school,15.0, Never-married, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Masters,14.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, Other, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, Germany,>50K -34, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -32, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -42, Private, HS-grad,9.0, Separated, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, 5th-6th,3.0, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1848.0,60.0, United-States,>50K -40, Private, 10th,6.0, Never-married, Craft-repair, Other-relative, Black, Male,0.0,0.0,55.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,37.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,41.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -51, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, Italy,<=50K -31, Federal-gov, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-inc, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -53, Federal-gov, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,99999.0,0.0,40.0, Japan,>50K -20, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Masters,14.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, Poland,<=50K -46, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -43, Local-gov, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,20051.0,0.0,40.0, United-States,>50K -32, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, Canada,<=50K -25, Private, Some-college,10.0, Separated, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -45, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,44.0, United-States,<=50K -40, Self-emp-not-inc, Some-college,10.0, Divorced, Exec-managerial, Other-relative, White, Male,0.0,1564.0,70.0, Iran,>50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,5.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,1762.0,30.0, United-States,<=50K -19, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, 10th,6.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,5013.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2105.0,0.0,45.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -40, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -30, Private, 11th,7.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -37, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,78.0, Thailand,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -52, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -28, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,20.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,90.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -47, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -41, Private, 11th,7.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 11th,7.0, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,43.0, Germany,<=50K -45, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,4386.0,0.0,35.0, United-States,>50K -39, Private, 9th,5.0, Married-civ-spouse, Other-service, Wife, Black, Female,3411.0,0.0,34.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -49, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, Peru,<=50K -59, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -35, State-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-inc, 10th,6.0, Married-civ-spouse, Transport-moving, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,43.0, Mexico,<=50K -36, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -41, Self-emp-not-inc, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1672.0,60.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,66.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -44, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -60, Private, 11th,7.0, Widowed, Transport-moving, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -56, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -25, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,3325.0,0.0,45.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -48, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -46, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, 10th,6.0, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -70, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2051.0,45.0, United-States,<=50K -49, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,75.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,36.0, United-States,>50K -61, Private, Prof-school,15.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,5.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -28, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -69, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,11.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,24.0, United-States,<=50K -33, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -43, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -31, Private, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,2105.0,0.0,40.0, Mexico,<=50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,2001.0,42.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -57, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,60.0, United-States,>50K -32, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,41.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024.0,0.0,35.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -32, Private, 11th,7.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,43.0, United-States,>50K -35, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,1980.0,65.0, United-States,<=50K -36, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -49, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,3325.0,0.0,45.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -64, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -32, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -58, State-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,14.0, United-States,<=50K -42, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Married-spouse-absent, Prof-specialty, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,65.0, United-States,>50K -37, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -66, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -59, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, England,>50K -44, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,58.0, United-States,>50K -59, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,2885.0,0.0,30.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,1340.0,40.0, United-States,<=50K -17, Local-gov, 9th,5.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,9.0, United-States,<=50K -47, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, State-gov, 9th,5.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,2339.0,55.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,15.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -37, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,12.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -49, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,42.0, United-States,>50K -50, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -62, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1628.0,70.0, United-States,<=50K -39, Local-gov, HS-grad,9.0, Separated, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -27, Private, 10th,6.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -56, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, 12th,8.0, Divorced, Transport-moving, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Other-relative, Black, Female,0.0,0.0,8.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,6.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, 7th-8th,4.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Federal-gov, HS-grad,9.0, Separated, Other-service, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,35.0, Outlying-US(Guam-USVI-etc),<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 11th,7.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -24, State-gov, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,10520.0,0.0,40.0, United-States,>50K -48, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -51, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,45.0, Scotland,<=50K -28, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -33, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,60.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -57, State-gov, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -22, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -46, State-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -47, Private, HS-grad,9.0, Separated, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -58, Self-emp-not-inc, 12th,8.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,52.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -45, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,36.0, England,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -26, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -32, Private, 11th,7.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -37, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Other, Female,0.0,0.0,35.0, United-States,<=50K -61, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,15024.0,0.0,60.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,1740.0,40.0, United-States,<=50K -39, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,2407.0,0.0,70.0, Mexico,<=50K -67, Local-gov, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -40, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, 5th-6th,3.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,35.0, Mexico,<=50K -37, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, 10th,6.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,2202.0,0.0,48.0, United-States,<=50K -34, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -52, Private, HS-grad,9.0, Divorced, Other-service, Other-relative, Black, Female,0.0,0.0,38.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -48, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -65, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,6514.0,0.0,35.0, United-States,>50K -55, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,10.0, United-States,<=50K -71, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -59, Private, 10th,6.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -36, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -26, Self-emp-not-inc, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, Italy,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -55, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,18.0, United-States,<=50K -49, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2002.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, 7th-8th,4.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, Cuba,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -35, Private, 11th,7.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -44, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -43, Private, Some-college,10.0, Never-married, Exec-managerial, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2961.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -47, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, Italy,>50K -43, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,12.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Self-emp-not-inc, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,80.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,45.0, United-States,>50K -43, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,45.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -53, Private, 9th,5.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,36.0, Canada,<=50K -44, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,1055.0,0.0,20.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -53, State-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024.0,0.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,1902.0,40.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,43.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -54, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,45.0, China,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -73, Private, HS-grad,9.0, Widowed, Sales, Other-relative, White, Female,0.0,0.0,15.0, United-States,<=50K -49, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,39.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, China,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -38, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,48.0, United-States,>50K -40, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -49, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -24, Private, Masters,14.0, Never-married, Exec-managerial, Own-child, White, Male,6849.0,0.0,90.0, United-States,<=50K -46, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -64, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,35.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,1719.0,16.0, United-States,<=50K -57, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, 11th,7.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,32.0, United-States,<=50K -50, Private, 7th-8th,4.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -42, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -45, Private, 11th,7.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, 10th,6.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,45.0, United-States,>50K -25, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,60.0, Japan,<=50K -40, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -41, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, 10th,6.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,45.0, United-States,<=50K -46, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,27828.0,0.0,50.0, United-States,>50K -49, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999.0,0.0,20.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -71, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,6767.0,0.0,20.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-spouse-absent, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -51, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,50.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -31, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Local-gov, HS-grad,9.0, Widowed, Farming-fishing, Unmarried, White, Male,0.0,2339.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,2202.0,0.0,38.0, United-States,<=50K -42, Local-gov, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,8614.0,0.0,45.0, United-States,>50K -35, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -39, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,15024.0,0.0,40.0, United-States,>50K -40, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Private, 5th-6th,3.0, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -30, Federal-gov, 9th,5.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, 9th,5.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -45, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, Trinadad&Tobago,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -32, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -50, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -63, Private, 7th-8th,4.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Widowed, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -38, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,2174.0,0.0,40.0, United-States,<=50K -50, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -59, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,49.0, United-States,<=50K -73, Local-gov, 7th-8th,4.0, Married-civ-spouse, Protective-serv, Husband, White, Male,2228.0,0.0,10.0, United-States,<=50K -52, Self-emp-inc, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,38.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -51, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -22, Private, 11th,7.0, Widowed, Sales, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -31, Private, 7th-8th,4.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,36.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,84.0, United-States,>50K -51, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -22, Self-emp-not-inc, HS-grad,9.0, Never-married, Prof-specialty, Unmarried, White, Female,99999.0,0.0,40.0, Dominican-Republic,>50K -37, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Transport-moving, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -52, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -42, State-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -56, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -70, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -23, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -34, Local-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1579.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, 7th-8th,4.0, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, Black, Male,3325.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -34, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,45.0, United-States,>50K -21, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 9th,5.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,36.0, United-States,<=50K -28, Private, Bachelors,13.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Never-married, Transport-moving, Unmarried, Black, Male,0.0,0.0,45.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -44, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -47, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -23, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0.0,0.0,54.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -36, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -46, Private, 9th,5.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -32, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -40, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -32, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,37.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -63, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, Italy,>50K -27, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,48.0, United-States,<=50K -27, Local-gov, Some-college,10.0, Never-married, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -68, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,99.0, United-States,>50K -22, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, Greece,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -68, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -62, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Other-service, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -68, Private, Some-college,10.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Bachelors,13.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -45, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -26, Private, 11th,7.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -65, Without-pay, 7th-8th,4.0, Widowed, Farming-fishing, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,1506.0,0.0,45.0, United-States,<=50K -26, Self-emp-not-inc, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -26, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -36, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,48.0, United-States,<=50K -52, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, 1st-4th,2.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, Mexico,<=50K -41, Self-emp-not-inc, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -47, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -28, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,46.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,18.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,1741.0,48.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,1628.0,45.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,80.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -28, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,48.0, China,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Other-relative, White, Female,0.0,0.0,48.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -90, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Separated, Prof-specialty, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Canada,>50K -26, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -56, Private, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Local-gov, HS-grad,9.0, Divorced, Protective-serv, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -18, Local-gov, 11th,7.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,25.0, United-States,<=50K -37, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2415.0,60.0, United-States,>50K -57, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,25.0, Nicaragua,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -77, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,6.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Private, 10th,6.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 11th,7.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -68, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -51, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -49, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, South,>50K -35, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,8614.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,55.0, Germany,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,13550.0,0.0,40.0, Cambodia,>50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -39, Local-gov, 10th,6.0, Divorced, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Local-gov, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -49, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -60, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -54, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,70.0, United-States,>50K -50, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,38.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,>50K -44, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -75, Self-emp-not-inc, Masters,14.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -51, State-gov, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,38.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,1409.0,0.0,40.0, United-States,<=50K -72, Private, 9th,5.0, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0.0,0.0,48.0, United-States,>50K -39, Private, Bachelors,13.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, Black, Male,0.0,0.0,30.0, United-States,<=50K -57, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -24, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2635.0,0.0,38.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,70.0, United-States,<=50K -23, Private, Some-college,10.0, Married-spouse-absent, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,1408.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1740.0,45.0, United-States,<=50K -34, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,4865.0,0.0,60.0, United-States,<=50K -57, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,2258.0,40.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Cuba,>50K -23, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, England,<=50K -32, Private, Some-college,10.0, Divorced, Other-service, Other-relative, White, Male,0.0,0.0,40.0, Nicaragua,<=50K -35, Private, Assoc-acdm,12.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Federal-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1485.0,40.0, United-States,>50K -63, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,20051.0,0.0,10.0, United-States,>50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, 11th,7.0, Married-civ-spouse, Sales, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -23, Private, HS-grad,9.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,42.0, United-States,<=50K -50, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -49, State-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, 7th-8th,4.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -27, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -53, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -17, Self-emp-not-inc, 10th,6.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -53, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1848.0,42.0, United-States,>50K -24, Private, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,20.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,50.0, Mexico,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, State-gov, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Male,8614.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -20, Private, 12th,8.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Mexico,<=50K -47, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -60, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Priv-house-serv, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -66, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0.0,0.0,30.0, United-States,>50K -34, Private, Some-college,10.0, Divorced, Exec-managerial, Own-child, White, Male,0.0,0.0,44.0, United-States,<=50K -45, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,46.0, United-States,<=50K -35, Private, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -36, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -25, Self-emp-not-inc, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -59, Local-gov, HS-grad,9.0, Separated, Protective-serv, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Some-college,10.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -51, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,36.0, United-States,<=50K -31, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -42, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -35, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,47.0, United-States,>50K -49, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1485.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,16.0, Japan,<=50K -56, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,46.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -47, State-gov, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -52, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,55.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -26, Private, Some-college,10.0, Married-spouse-absent, Craft-repair, Other-relative, Black, Female,0.0,0.0,35.0, Dominican-Republic,<=50K -58, Local-gov, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,5556.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -46, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,1902.0,35.0, United-States,>50K -57, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,1669.0,55.0, United-States,<=50K -45, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,53.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Protective-serv, Own-child, Black, Male,0.0,0.0,16.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, 5th-6th,3.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -24, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -44, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,38.0, Jamaica,>50K -47, State-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, State-gov, 11th,7.0, Separated, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, India,<=50K -41, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, Some-college,10.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -46, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -54, Local-gov, Masters,14.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -49, Private, HS-grad,9.0, Widowed, Tech-support, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Local-gov, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Masters,14.0, Divorced, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -25, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -28, Private, 11th,7.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,35.0, United-States,>50K -75, Private, 10th,6.0, Widowed, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -57, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,65.0, United-States,>50K -47, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, Italy,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,17.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,15.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -59, Private, 10th,6.0, Separated, Priv-house-serv, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Separated, Protective-serv, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -60, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -64, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -41, Self-emp-not-inc, Masters,14.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,5.0, United-States,>50K -35, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -63, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,68.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -74, Federal-gov, Some-college,10.0, Widowed, Transport-moving, Not-in-family, White, Female,0.0,0.0,18.0, United-States,<=50K -50, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, 12th,8.0, Separated, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,6767.0,0.0,60.0, United-States,<=50K -28, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -55, Private, Bachelors,13.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -31, Private, HS-grad,9.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,12.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, South,<=50K -49, Local-gov, HS-grad,9.0, Widowed, Protective-serv, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,1055.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,37.0, Mexico,<=50K -22, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -57, State-gov, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -23, Private, 7th-8th,4.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 11th,7.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -23, State-gov, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,22.0, United-States,<=50K -30, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -42, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -51, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Cuba,<=50K -59, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -36, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, Germany,>50K -33, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -37, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -35, Private, Some-college,10.0, Never-married, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -38, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -54, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -63, Federal-gov, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Self-emp-not-inc, Masters,14.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,18.0, United-States,<=50K -64, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -39, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -45, State-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Doctorate,16.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -22, Federal-gov, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -63, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Assoc-voc,11.0, Separated, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -29, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -38, Local-gov, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0.0,1741.0,40.0, Vietnam,<=50K -25, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, 12th,8.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,21.0, Mexico,<=50K -32, Local-gov, HS-grad,9.0, Never-married, Transport-moving, Unmarried, Black, Female,0.0,0.0,37.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Poland,<=50K -40, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,1602.0,10.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1902.0,40.0, United-States,<=50K -47, Private, Assoc-acdm,12.0, Widowed, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,10.0, United-States,<=50K -29, Local-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,>50K -27, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, Canada,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,55.0, Taiwan,>50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Other-relative, Black, Female,0.0,0.0,25.0, Haiti,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,1719.0,15.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,37.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -31, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -45, Private, HS-grad,9.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -90, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,35.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -64, State-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -56, Private, 7th-8th,4.0, Widowed, Transport-moving, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Private, Some-college,10.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -31, Local-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, Some-college,10.0, Widowed, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-inc, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,47.0, United-States,<=50K -62, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -65, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -40, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -63, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -37, Private, Some-college,10.0, Widowed, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0.0,1887.0,40.0, Philippines,>50K -32, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -35, Private, 11th,7.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,90.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,65.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -41, Private, 11th,7.0, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, Guatemala,<=50K -22, Private, 10th,6.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Taiwan,>50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Canada,<=50K -23, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,25.0, Mexico,<=50K -21, Private, 11th,7.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -29, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -18, Private, 9th,5.0, Never-married, Handlers-cleaners, Own-child, White, Male,594.0,0.0,40.0, United-States,<=50K -62, Self-emp-not-inc, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Federal-gov, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,14344.0,0.0,50.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, England,<=50K -28, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -26, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,44.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Separated, Other-service, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Self-emp-inc, Masters,14.0, Separated, Prof-specialty, Not-in-family, White, Female,4787.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3781.0,0.0,50.0, Mexico,<=50K -36, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Poland,<=50K -55, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, England,<=50K -20, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,44.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, England,>50K -25, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,1408.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -63, Private, 7th-8th,4.0, Married-spouse-absent, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -56, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -33, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, Canada,>50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,1579.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 12th,8.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,1741.0,40.0, United-States,<=50K -53, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1564.0,54.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -32, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -70, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,3137.0,0.0,50.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, 11th,7.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -36, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,65.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -50, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,2547.0,50.0, United-States,>50K -39, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,2206.0,30.0, United-States,<=50K -29, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -55, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,35.0, Greece,>50K -41, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -35, Private, Prof-school,15.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,35.0, China,<=50K -42, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Some-college,10.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, State-gov, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -39, State-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -32, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,20.0, Trinadad&Tobago,<=50K -54, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,3.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -29, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -29, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 10th,6.0, Separated, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -46, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -20, Private, 10th,6.0, Never-married, Sales, Not-in-family, Other, Male,0.0,0.0,40.0, United-States,<=50K -24, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -31, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -26, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -46, Private, Assoc-voc,11.0, Divorced, Protective-serv, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,3103.0,0.0,44.0, United-States,>50K -48, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Sales, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,1590.0,40.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, Black, Female,0.0,0.0,54.0, Dominican-Republic,>50K -50, Federal-gov, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Other-relative, White, Female,0.0,0.0,40.0, Canada,>50K -39, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2415.0,60.0, United-States,>50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 11th,7.0, Never-married, Transport-moving, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -32, Private, 10th,6.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -69, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3818.0,0.0,30.0, United-States,<=50K -55, Private, HS-grad,9.0, Separated, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,52.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -74, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -40, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,48.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -32, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -57, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Protective-serv, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0.0,1980.0,60.0, United-States,<=50K -60, Private, 5th-6th,3.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -52, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -61, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -59, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,50.0, United-States,>50K -42, Private, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, Black, Male,0.0,0.0,35.0, United-States,<=50K -70, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,6.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -27, Private, 11th,7.0, Never-married, Handlers-cleaners, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 12th,8.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,60.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -46, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Assoc-voc,11.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -65, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Assoc-voc,11.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,1741.0,45.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -49, Federal-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,56.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -18, Local-gov, 12th,8.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Federal-gov, HS-grad,9.0, Separated, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, Assoc-voc,11.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,8.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Some-college,10.0, Married-spouse-absent, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -54, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Unmarried, White, Male,914.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,35.0, United-States,<=50K -59, Local-gov, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Other, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,21.0, United-States,<=50K -58, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,4064.0,0.0,40.0, India,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,4064.0,0.0,15.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -40, Private, 9th,5.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, Haiti,<=50K -46, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -54, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,30.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,13.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,65.0, United-States,<=50K -56, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -56, Private, 11th,7.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -19, Private, 10th,6.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -48, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,52.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -40, Private, 1st-4th,2.0, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -28, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -57, Private, 1st-4th,2.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, Portugal,<=50K -51, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -46, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -50, Private, HS-grad,9.0, Divorced, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -77, Self-emp-not-inc, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,401.0,0.0,20.0, United-States,<=50K -39, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, Black, Male,8614.0,0.0,52.0, United-States,>50K -35, Private, Assoc-acdm,12.0, Divorced, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -23, Private, 10th,6.0, Never-married, Craft-repair, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Female,8614.0,0.0,45.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -60, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -32, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -56, Federal-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -45, State-gov, Assoc-voc,11.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -18, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,27.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Other, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,55.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Other-relative, Amer-Indian-Eskimo, Female,0.0,0.0,25.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,30.0, United-States,<=50K -31, State-gov, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -74, Private, Prof-school,15.0, Widowed, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,20.0, United-States,<=50K -27, Private, 5th-6th,3.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Federal-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -52, Federal-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -34, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,60.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Federal-gov, 11th,7.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,1340.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -55, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -52, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -27, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -27, Self-emp-inc, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, Nicaragua,<=50K -50, Private, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, Other, Male,0.0,0.0,49.0, Dominican-Republic,<=50K -32, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,4101.0,0.0,50.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Masters,14.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Iran,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,55.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, Hong,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -31, Private, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, Columbia,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -48, State-gov, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,56.0, United-States,>50K -40, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,10520.0,0.0,40.0, United-States,>50K -70, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,43.0, United-States,<=50K -38, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,75.0, Mexico,<=50K -37, Self-emp-not-inc, Some-college,10.0, Separated, Other-service, Own-child, White, Female,0.0,0.0,40.0, Cuba,<=50K -49, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -43, Private, 1st-4th,2.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, 7th-8th,4.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, Mexico,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -64, Private, Some-college,10.0, Widowed, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,28.0, El-Salvador,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Local-gov, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -78, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -27, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -55, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,58.0, United-States,<=50K -61, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,5.0, United-States,<=50K -46, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2829.0,0.0,70.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -18, Private, Some-college,10.0, Divorced, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, State-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -56, Self-emp-not-inc, 10th,6.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,4865.0,0.0,40.0, United-States,<=50K -56, Federal-gov, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -52, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,45.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,8614.0,0.0,40.0, United-States,>50K -24, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -72, Private, Assoc-voc,11.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -51, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,2977.0,0.0,35.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -19, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -26, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,4934.0,0.0,50.0, United-States,>50K -28, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -30, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Priv-house-serv, Other-relative, Black, Female,0.0,0.0,20.0, United-States,<=50K -62, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,2597.0,0.0,48.0, United-States,<=50K -49, Self-emp-inc, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Private, HS-grad,9.0, Divorced, Sales, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298.0,0.0,45.0, United-States,>50K -41, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -47, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Male,0.0,0.0,35.0, United-States,<=50K -30, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1902.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Some-college,10.0, Divorced, Exec-managerial, Other-relative, White, Female,594.0,0.0,10.0, United-States,<=50K -46, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -20, Private, 9th,5.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,11.0, Nicaragua,<=50K -47, Private, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386.0,0.0,50.0, Greece,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -80, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, Mexico,<=50K -43, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Separated, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -24, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, Canada,>50K -24, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -22, Local-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,18.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -35, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,60.0, Greece,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,34.0, United-States,<=50K -61, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, Masters,14.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -61, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,2339.0,40.0, United-States,<=50K -54, Private, Assoc-acdm,12.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -27, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, Germany,<=50K -44, Self-emp-inc, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -64, Private, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Cuba,<=50K -55, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,6849.0,0.0,55.0, United-States,<=50K -61, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, 11th,7.0, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,25.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -47, State-gov, Masters,14.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -44, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,5013.0,0.0,20.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,2205.0,24.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,37.0, Mexico,<=50K -36, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,>50K -41, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -22, Private, 10th,6.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Local-gov, 12th,8.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,30.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,55.0, United-States,<=50K -35, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -63, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -57, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -58, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Japan,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -69, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -28, Private, 10th,6.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,14084.0,0.0,40.0, United-States,>50K -45, Local-gov, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,1726.0,40.0, United-States,<=50K -33, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,1485.0,40.0, United-States,>50K -37, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -50, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,37.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -54, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -28, Private, HS-grad,9.0, Separated, Sales, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,2444.0,45.0, United-States,>50K -47, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, 1st-4th,2.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -25, Private, 12th,8.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,43.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, 7th-8th,4.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -46, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, State-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -38, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688.0,0.0,33.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Protective-serv, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 5th-6th,3.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -56, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 11th,7.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -71, Private, Preschool,1.0, Widowed, Craft-repair, Unmarried, Black, Male,0.0,0.0,10.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -19, Federal-gov, HS-grad,9.0, Married-AF-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -90, Private, Some-college,10.0, Separated, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -56, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -45, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,27.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -64, Private, 10th,6.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -29, Local-gov, Masters,14.0, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Taiwan,<=50K -22, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,30.0, Germany,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, Italy,>50K -67, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2392.0,75.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,1672.0,50.0, United-States,<=50K -53, Private, 11th,7.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -81, Private, 9th,5.0, Widowed, Priv-house-serv, Not-in-family, Black, Female,2062.0,0.0,5.0, United-States,<=50K -33, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,1138.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -30, Local-gov, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Masters,14.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -63, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,98.0, United-States,<=50K -23, Private, 7th-8th,4.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,36.0, United-States,<=50K -56, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Canada,<=50K -49, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,1902.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -29, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,50.0, Italy,>50K -23, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -50, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1740.0,48.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -75, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, State-gov, Bachelors,13.0, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Male,0.0,0.0,20.0, United-States,<=50K -17, Local-gov, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Preschool,1.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,35.0, Mexico,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,42.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -48, Private, Some-college,10.0, Widowed, Exec-managerial, Unmarried, Black, Female,0.0,1669.0,38.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,30.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -49, Local-gov, Masters,14.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-inc, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,85.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, Ireland,<=50K -75, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -36, Self-emp-not-inc, Bachelors,13.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, Mexico,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103.0,0.0,45.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,3325.0,0.0,35.0, United-States,<=50K -61, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -29, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,56.0, United-States,<=50K -40, State-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -37, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, 9th,5.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,30.0, United-States,<=50K -43, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -64, Local-gov, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,48.0, India,<=50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -62, Self-emp-not-inc, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,35.0, Columbia,<=50K -29, Private, 10th,6.0, Married-civ-spouse, Farming-fishing, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, Japan,<=50K -39, Local-gov, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -39, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,32.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2829.0,0.0,30.0, Mexico,<=50K -31, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -38, Private, Some-college,10.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,52.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Tech-support, Other-relative, White, Male,0.0,0.0,35.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -44, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,60.0, United-States,<=50K -37, Private, Masters,14.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -64, State-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,4787.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Self-emp-not-inc, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,4650.0,0.0,50.0, United-States,<=50K -40, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,65.0, United-States,<=50K -49, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -51, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, Prof-school,15.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,1902.0,40.0, Philippines,>50K -51, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,1762.0,32.0, United-States,<=50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, England,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,60.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, White, Female,0.0,2238.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -30, Private, HS-grad,9.0, Married-AF-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -61, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -71, Local-gov, Bachelors,13.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,6.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -46, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -50, Local-gov, Prof-school,15.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,52.0, United-States,>50K -27, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,9.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, Mexico,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,35.0, United-States,<=50K -61, Private, 5th-6th,3.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,1876.0,56.0, United-States,<=50K -54, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -39, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -57, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Transport-moving, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -48, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,44.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -69, Local-gov, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Japan,>50K -20, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, 11th,7.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -23, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -40, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -74, Self-emp-inc, Some-college,10.0, Widowed, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -20, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,2258.0,10.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,56.0, United-States,<=50K -46, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -51, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -40, Private, Some-college,10.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Prof-school,15.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -60, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1672.0,84.0, United-States,<=50K -48, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,70.0, United-States,<=50K -48, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, State-gov, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,2352.0,65.0, United-States,<=50K -22, Private, Some-college,10.0, Divorced, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -42, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,48.0, United-States,>50K -28, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Own-child, White, Male,7688.0,0.0,50.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -24, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,2829.0,0.0,55.0, Poland,<=50K -52, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Farming-fishing, Not-in-family, White, Male,2354.0,0.0,45.0, United-States,<=50K -19, Private, 5th-6th,3.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,36.0, Mexico,<=50K -54, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -42, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -44, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Federal-gov, Assoc-acdm,12.0, Separated, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -41, Private, 11th,7.0, Divorced, Other-service, Unmarried, Other, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,10520.0,0.0,48.0, United-States,>50K -48, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -60, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -37, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,1977.0,40.0, United-States,>50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -64, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,25.0, United-States,>50K -56, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,49.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -33, Private, Prof-school,15.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,42.0, United-States,>50K -21, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Local-gov, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Germany,>50K -43, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -27, Private, 10th,6.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, Mexico,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -22, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -41, State-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -41, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,99999.0,0.0,45.0, United-States,>50K -49, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -35, Self-emp-not-inc, 12th,8.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, Trinadad&Tobago,<=50K -30, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -59, Private, HS-grad,9.0, Separated, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -51, Private, 7th-8th,4.0, Separated, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -71, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,2964.0,0.0,60.0, United-States,<=50K -33, Private, 12th,8.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Other-service, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-spouse-absent, Sales, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 5th-6th,3.0, Married-spouse-absent, Farming-fishing, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -51, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -62, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -28, Private, 9th,5.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, Dominican-Republic,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,48.0, South,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -50, Self-emp-inc, Bachelors,13.0, Widowed, Sales, Unmarried, White, Male,0.0,0.0,65.0, United-States,>50K -31, Private, 7th-8th,4.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -47, Private, 10th,6.0, Widowed, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,18.0, United-States,<=50K -32, Private, Assoc-acdm,12.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2415.0,55.0, United-States,>50K -74, Federal-gov, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Male,0.0,0.0,17.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, Greece,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -59, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -59, Private, 11th,7.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,70.0, United-States,>50K -53, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,2002.0,45.0, United-States,<=50K -25, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -44, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,65.0, United-States,<=50K -57, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Sales, Wife, White, Female,15024.0,0.0,35.0, United-States,>50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1902.0,80.0, United-States,>50K -58, Local-gov, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,3464.0,0.0,40.0, United-States,<=50K -45, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,0.0,35.0, United-States,>50K -52, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -36, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Poland,<=50K -30, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -34, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Separated, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 9th,5.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,48.0, Mexico,<=50K -42, Local-gov, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -26, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -46, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -49, State-gov, 11th,7.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,1669.0,50.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, White, Female,5455.0,0.0,38.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1848.0,40.0, Peru,>50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -36, Self-emp-inc, Assoc-acdm,12.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,>50K -73, Private, 10th,6.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -38, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -58, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,46.0, United-States,<=50K -34, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -31, Local-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, Mexico,>50K -45, Private, Some-college,10.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, HS-grad,9.0, Separated, Other-service, Other-relative, White, Female,0.0,0.0,25.0, United-States,<=50K -27, Private, Prof-school,15.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -29, Private, 5th-6th,3.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, Mexico,<=50K -34, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -32, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Cuba,<=50K -33, Private, 11th,7.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -62, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,41.0, United-States,<=50K -53, Private, 11th,7.0, Divorced, Craft-repair, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,3.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -37, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -50, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -47, Private, 11th,7.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, 12th,8.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -47, Local-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,7688.0,0.0,40.0, Guatemala,>50K -26, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,1590.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -59, Private, Masters,14.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Farming-fishing, Not-in-family, White, Female,0.0,1590.0,54.0, United-States,<=50K -63, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -59, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Tech-support, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, HS-grad,9.0, Widowed, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,62.0, United-States,<=50K -40, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,47.0, United-States,<=50K -41, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, Other, Male,0.0,2179.0,84.0, Mexico,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,26.0, United-States,<=50K -45, Private, 11th,7.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, 5th-6th,3.0, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Germany,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Married-spouse-absent, Farming-fishing, Not-in-family, Other, Male,0.0,0.0,40.0, Mexico,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -26, Private, 11th,7.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,3325.0,0.0,52.0, Dominican-Republic,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -57, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -21, Private, 11th,7.0, Never-married, Priv-house-serv, Other-relative, White, Female,0.0,0.0,40.0, Mexico,<=50K -29, Private, 10th,6.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,32.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013.0,0.0,50.0, United-States,<=50K -40, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,70.0, United-States,>50K -61, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -21, Private, HS-grad,9.0, Separated, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -21, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,54.0, United-States,<=50K -35, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -30, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, 9th,5.0, Never-married, Machine-op-inspct, Unmarried, Other, Male,0.0,0.0,40.0, Mexico,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,15024.0,0.0,40.0, United-States,>50K -44, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,3464.0,0.0,40.0, Columbia,<=50K -46, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,60.0, Iran,>50K -45, Private, Doctorate,16.0, Widowed, Prof-specialty, Unmarried, White, Male,15020.0,0.0,40.0, Iran,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -61, Self-emp-inc, Prof-school,15.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -50, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,60.0, United-States,<=50K -39, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, 11th,7.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, 5th-6th,3.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -47, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Private, 9th,5.0, Separated, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,50.0, United-States,<=50K -42, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2885.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -52, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, HS-grad,9.0, Separated, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -46, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -30, State-gov, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -37, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,36.0, Mexico,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -39, Local-gov, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,59.0, United-States,<=50K -54, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Self-emp-inc, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,43.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -28, Private, 10th,6.0, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, Mexico,<=50K -59, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Preschool,1.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -56, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,55.0, El-Salvador,>50K -31, Local-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -25, State-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -17, Self-emp-inc, 11th,7.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -50, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -50, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -63, Private, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -43, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,4386.0,0.0,40.0, United-States,>50K -35, Private, Bachelors,13.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -46, State-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -59, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -31, Private, 7th-8th,4.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,30.0, Portugal,<=50K -27, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, England,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,1669.0,50.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -69, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,1424.0,0.0,35.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,16.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,15.0, United-States,<=50K -35, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -20, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -40, Private, Prof-school,15.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,40.0, Mexico,>50K -40, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,625.0,52.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Self-emp-not-inc, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Local-gov, Masters,14.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -55, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -52, Private, 9th,5.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, Cuba,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -62, Self-emp-not-inc, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -51, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -59, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -45, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -63, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Cuba,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,36.0, United-States,<=50K -49, State-gov, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -81, Self-emp-not-inc, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -36, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -39, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -46, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -43, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,1902.0,40.0, United-States,>50K -39, Local-gov, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -29, Private, Some-college,10.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Female,0.0,0.0,16.0, United-States,<=50K -57, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,42.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -56, Private, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1977.0,44.0, United-States,>50K -39, Private, 12th,8.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -67, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,3273.0,0.0,16.0, United-States,<=50K -41, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,50.0, United-States,<=50K -24, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -51, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, Black, Male,10520.0,0.0,40.0, United-States,>50K -30, Self-emp-inc, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -47, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -56, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -57, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -68, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2377.0,60.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -53, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -37, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,99.0, United-States,>50K -63, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Married-spouse-absent, Transport-moving, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -27, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,65.0, United-States,>50K -25, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,32.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -31, Local-gov, Some-college,10.0, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,32.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -19, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Wife, White, Female,22040.0,0.0,40.0, United-States,<=50K -27, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,36.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -25, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,35.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -53, Private, 11th,7.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -72, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2392.0,25.0, United-States,>50K -61, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female,1055.0,0.0,20.0, United-States,<=50K -73, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,16.0, Canada,<=50K -41, Self-emp-not-inc, Some-college,10.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,20.0, Jamaica,<=50K -23, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, Canada,<=50K -65, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -45, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -52, Federal-gov, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, Black, Male,7688.0,0.0,40.0, United-States,>50K -24, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,27.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Divorced, Farming-fishing, Unmarried, White, Male,0.0,0.0,56.0, United-States,<=50K -17, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Separated, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,27.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -31, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137.0,0.0,40.0, Mexico,<=50K -71, Self-emp-not-inc, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,38.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1485.0,48.0, United-States,<=50K -30, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -76, Private, 7th-8th,4.0, Widowed, Protective-serv, Not-in-family, White, Female,0.0,0.0,12.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -63, Self-emp-not-inc, Bachelors,13.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Transport-moving, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, State-gov, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,1055.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,36.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, China,<=50K -26, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -44, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7688.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,44.0, Mexico,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,7688.0,0.0,38.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,30.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -57, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -62, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -31, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,>50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, France,>50K -37, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,213.0,45.0, United-States,<=50K -45, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,38.0, Mexico,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -75, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,60.0, Germany,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Guatemala,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -53, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,>50K -40, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, England,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,30.0, United-States,<=50K -24, Private, 7th-8th,4.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -30, Private, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -70, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1672.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -70, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,5.0, United-States,<=50K -37, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -23, Private, 9th,5.0, Never-married, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, Mexico,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1628.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -58, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,3325.0,0.0,30.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -23, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -43, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,20.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,7298.0,0.0,50.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -41, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1740.0,20.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,4416.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, China,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0.0,0.0,20.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,50.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,22.0, United-States,<=50K -21, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, Guatemala,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -43, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,48.0, United-States,>50K -54, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,36.0, United-States,>50K -30, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Local-gov, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,35.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -37, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -64, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,5.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,28.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,30.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, Other, Female,0.0,0.0,30.0, Germany,<=50K -25, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -38, Private, HS-grad,9.0, Separated, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -29, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Other-relative, Black, Male,0.0,1876.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -42, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7298.0,0.0,48.0, United-States,>50K -37, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -57, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,30.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -55, Private, Assoc-acdm,12.0, Divorced, Sales, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -37, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Priv-house-serv, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -49, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -40, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -80, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,1816.0,60.0, United-States,<=50K -63, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,45.0, United-States,>50K -51, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,66.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -33, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,60.0, United-States,>50K -26, Private, Some-college,10.0, Married-AF-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -47, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, Black, Male,0.0,0.0,75.0, United-States,<=50K -53, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -26, Federal-gov, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -53, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -65, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -68, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -30, Private, 10th,6.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,18.0, Guatemala,<=50K -28, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -54, Local-gov, 10th,6.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -32, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -46, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -26, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,594.0,0.0,16.0, United-States,<=50K -29, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0.0,0.0,35.0, United-States,<=50K -51, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Self-emp-not-inc, Bachelors,13.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,24.0, Mexico,<=50K -34, Private, Assoc-acdm,12.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,66.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -37, Federal-gov, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1485.0,40.0, United-States,>50K -24, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,35.0, United-States,>50K -49, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,3137.0,0.0,40.0, United-States,<=50K -62, Local-gov, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -28, Private, Some-college,10.0, Separated, Tech-support, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -20, Private, 12th,8.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -51, Local-gov, HS-grad,9.0, Divorced, Transport-moving, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1848.0,48.0, United-States,>50K -50, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -54, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -68, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -23, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -49, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -24, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137.0,0.0,45.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 7th-8th,4.0, Separated, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,31.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,>50K -54, Federal-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -63, Private, HS-grad,9.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -63, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -27, Private, HS-grad,9.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Self-emp-not-inc, HS-grad,9.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -26, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -43, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -50, Federal-gov, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,1590.0,40.0, United-States,<=50K -54, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, State-gov, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,55.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -69, Private, 11th,7.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -56, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,2002.0,40.0, United-States,<=50K -53, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,35.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,84.0, Taiwan,>50K -48, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013.0,0.0,45.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,14.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -72, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 11th,7.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,48.0, England,<=50K -50, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,60.0, Columbia,<=50K -45, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -52, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -75, Private, 5th-6th,3.0, Widowed, Other-service, Unmarried, Black, Male,0.0,0.0,10.0, United-States,<=50K -32, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -46, State-gov, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Separated, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -63, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,21.0, United-States,<=50K -28, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,43.0, Mexico,<=50K -49, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -39, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,62.0, England,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,1741.0,45.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,35.0, Puerto-Rico,<=50K -42, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,1876.0,40.0, United-States,<=50K -52, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -43, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -62, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,10566.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, England,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -49, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1977.0,40.0, United-States,>50K -25, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,2002.0,40.0, United-States,<=50K -44, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, 9th,5.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,4650.0,0.0,56.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, Ireland,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,35.0, Jamaica,<=50K -41, Private, Some-college,10.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -67, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -50, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -48, Private, Masters,14.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,3325.0,0.0,40.0, Ecuador,<=50K -50, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,36.0, Ireland,<=50K -64, State-gov, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, 9th,5.0, Divorced, Other-service, Not-in-family, Black, Male,0.0,0.0,37.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,52.0, United-States,<=50K -30, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,30.0, China,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -19, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Craft-repair, Other-relative, White, Male,0.0,0.0,55.0, United-States,>50K -42, Private, Bachelors,13.0, Married-spouse-absent, Tech-support, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Separated, Exec-managerial, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -54, State-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,38.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1628.0,40.0, United-States,<=50K -37, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -28, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -63, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,42.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -64, Private, HS-grad,9.0, Divorced, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -59, Local-gov, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -35, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -35, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Self-emp-inc, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, 10th,6.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,47.0, United-States,<=50K -57, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,12.0, United-States,<=50K -44, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013.0,0.0,60.0, Greece,<=50K -29, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Assoc-acdm,12.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,35.0, Jamaica,<=50K -21, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -34, Self-emp-not-inc, Prof-school,15.0, Separated, Prof-specialty, Unmarried, White, Male,0.0,0.0,48.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -28, Private, 10th,6.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Separated, Transport-moving, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,40.0, Poland,>50K -57, Local-gov, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -29, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -50, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7688.0,0.0,50.0, Philippines,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -28, Private, 11th,7.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -66, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0.0,0.0,20.0, South,<=50K -38, Private, 11th,7.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,22.0, United-States,<=50K -90, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,914.0,0.0,40.0, Germany,<=50K -33, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -39, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,1719.0,16.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,4064.0,0.0,38.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -28, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Other-service, Other-relative, White, Female,0.0,0.0,50.0, Peru,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,2258.0,84.0, United-States,<=50K -27, Local-gov, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,52.0, United-States,<=50K -31, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,54.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,48.0, United-States,>50K -19, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,78.0, United-States,<=50K -51, Local-gov, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -30, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -52, Private, Preschool,1.0, Married-civ-spouse, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,50.0, Taiwan,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -38, State-gov, Some-college,10.0, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,>50K -22, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -33, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,1055.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -65, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -50, Private, HS-grad,9.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,6849.0,0.0,48.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 9th,5.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -65, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -56, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,45.0, United-States,<=50K -39, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -24, Private, 5th-6th,3.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -40, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -20, Self-emp-not-inc, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,12.0, Germany,<=50K -29, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 12th,8.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, Iran,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -63, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -33, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, State-gov, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,1506.0,0.0,50.0, United-States,<=50K -47, Self-emp-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,3325.0,0.0,60.0, United-States,<=50K -33, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -28, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Priv-house-serv, Unmarried, White, Female,0.0,0.0,28.0, Ecuador,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Own-child, White, Male,3137.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, State-gov, Some-college,10.0, Married-spouse-absent, Tech-support, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -52, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -29, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -31, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,35.0, Vietnam,<=50K -54, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -50, Local-gov, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,49.0, Dominican-Republic,<=50K -24, Private, Bachelors,13.0, Never-married, Farming-fishing, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-inc, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -54, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,40.0, Haiti,<=50K -63, Private, Some-college,10.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -67, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Canada,>50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -25, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,2885.0,0.0,40.0, United-States,<=50K -67, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 12th,8.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,38.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -76, Self-emp-inc, 9th,5.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,56.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1672.0,50.0, United-States,<=50K -59, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Bachelors,13.0, Separated, Exec-managerial, Not-in-family, White, Male,14084.0,0.0,45.0, United-States,>50K -33, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,72.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -48, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -64, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,5.0, United-States,<=50K -47, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -21, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,44.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Sales, Other-relative, Black, Male,0.0,0.0,30.0, United-States,<=50K -24, Private, 10th,6.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,49.0, El-Salvador,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -27, Self-emp-inc, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -51, Local-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2829.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -54, Private, 9th,5.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, Outlying-US(Guam-USVI-etc),<=50K -31, Private, Some-college,10.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -26, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -75, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,4931.0,0.0,3.0, United-States,<=50K -29, Private, Masters,14.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, Some-college,10.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Federal-gov, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,1980.0,40.0, United-States,<=50K -39, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, 11th,7.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -68, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Federal-gov, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -20, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -27, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7688.0,0.0,70.0, United-States,>50K -32, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,24.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,55.0, United-States,>50K -32, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -49, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -52, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -72, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,16.0, United-States,<=50K -30, Local-gov, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -59, Private, Bachelors,13.0, Separated, Adm-clerical, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -64, Federal-gov, 7th-8th,4.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,30.0, Puerto-Rico,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -49, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,85.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -46, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, 1st-4th,2.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Cambodia,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -44, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,1504.0,50.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,25.0, Ecuador,<=50K -35, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Self-emp-not-inc, Some-college,10.0, Widowed, Craft-repair, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -40, Private, Bachelors,13.0, Separated, Adm-clerical, Unmarried, Black, Male,0.0,0.0,35.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,27828.0,0.0,50.0, United-States,>50K -22, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Separated, Prof-specialty, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -46, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,27.0, United-States,<=50K -63, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -51, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -68, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -36, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, Canada,<=50K -28, Self-emp-inc, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Local-gov, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -34, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -46, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Some-college,10.0, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -33, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -56, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -54, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,84.0, United-States,<=50K -53, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,65.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -63, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,12.0, United-States,<=50K -53, Federal-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,60.0, Germany,>50K -37, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Federal-gov, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Federal-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,8614.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -20, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -29, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Private, 10th,6.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,50.0, Puerto-Rico,>50K -33, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -67, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1539.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -45, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -17, Local-gov, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1848.0,70.0, United-States,>50K -48, Self-emp-not-inc, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, Jamaica,>50K -49, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013.0,0.0,46.0, Canada,<=50K -64, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -53, Federal-gov, Some-college,10.0, Separated, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -32, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -48, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -30, Private, Some-college,10.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, 11th,7.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,1762.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 11th,7.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,12.0, United-States,<=50K -48, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,5178.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, Taiwan,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -52, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,28.0, United-States,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, Assoc-acdm,12.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -51, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, 9th,5.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -40, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -54, Private, Some-college,10.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -52, Private, 11th,7.0, Separated, Machine-op-inspct, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,880.0,42.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Canada,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,65.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,18.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,32.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -40, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -52, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Iran,>50K -38, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -40, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,99.0, United-States,>50K -38, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -57, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -49, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, Yugoslavia,<=50K -52, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, 10th,6.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,56.0, United-States,<=50K -26, Self-emp-inc, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Self-emp-inc, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,45.0, United-States,<=50K -48, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -33, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, Canada,<=50K -31, State-gov, HS-grad,9.0, Divorced, Protective-serv, Own-child, Other, Male,0.0,0.0,40.0, United-States,<=50K -26, Self-emp-not-inc, HS-grad,9.0, Divorced, Farming-fishing, Unmarried, White, Male,0.0,0.0,65.0, United-States,<=50K -37, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -49, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -49, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -51, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -41, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1485.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,36.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, State-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -37, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,7430.0,0.0,45.0, United-States,>50K -39, Federal-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,1741.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -59, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Jamaica,<=50K -55, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,12.0, Canada,<=50K -25, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,36.0, Canada,<=50K -28, Private, Assoc-acdm,12.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -60, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,50.0, United-States,>50K -25, Private, 11th,7.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -50, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,5013.0,0.0,70.0, United-States,<=50K -46, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,47.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -43, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,625.0,40.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,60.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, Outlying-US(Guam-USVI-etc),<=50K -20, Self-emp-inc, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,30.0, India,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Federal-gov, Bachelors,13.0, Divorced, Exec-managerial, Other-relative, White, Female,0.0,0.0,50.0, United-States,<=50K -43, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,26.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -60, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,35.0, India,<=50K -56, Private, 1st-4th,2.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0.0,0.0,35.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Self-emp-not-inc, 12th,8.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -43, Private, 10th,6.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Local-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -25, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,8614.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -30, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, Germany,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,24.0, Philippines,<=50K -57, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688.0,0.0,44.0, United-States,>50K -33, Private, HS-grad,9.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -22, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -50, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -40, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,51.0, United-States,<=50K -53, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -38, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -25, State-gov, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -41, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -67, State-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2415.0,50.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -25, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Protective-serv, Own-child, White, Male,34095.0,0.0,3.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -58, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,27.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -19, Private, 11th,7.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,15024.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0.0,0.0,21.0, Trinadad&Tobago,<=50K -52, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, 5th-6th,3.0, Divorced, Transport-moving, Unmarried, White, Male,6497.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,38.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Assoc-acdm,12.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -65, Private, Some-college,10.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, 9th,5.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,4064.0,0.0,50.0, United-States,<=50K -25, Private, 11th,7.0, Separated, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -23, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -39, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,30.0, United-States,<=50K -55, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -24, State-gov, Masters,14.0, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,10.0, China,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, 11th,7.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,60.0, United-States,<=50K -40, Private, HS-grad,9.0, Separated, Transport-moving, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -26, Private, Assoc-voc,11.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Laos,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,3674.0,0.0,40.0, United-States,<=50K -32, Federal-gov, Assoc-voc,11.0, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, State-gov, Some-college,10.0, Divorced, Protective-serv, Other-relative, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999.0,0.0,55.0, Taiwan,>50K -24, Self-emp-not-inc, Some-college,10.0, Separated, Handlers-cleaners, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,24.0, Canada,>50K -30, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -59, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1485.0,40.0, United-States,>50K -47, Private, 7th-8th,4.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, Black, Male,3137.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, France,<=50K -46, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -66, State-gov, 10th,6.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -21, Private, 7th-8th,4.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,48.0, Mexico,<=50K -59, Private, 9th,5.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, 9th,5.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,5178.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -26, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -48, Private, Some-college,10.0, Separated, Sales, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -53, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -34, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -33, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,44.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,8.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,6849.0,0.0,50.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -40, State-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -35, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Federal-gov, Assoc-acdm,12.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,15.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Tech-support, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,30.0, Canada,<=50K -55, Self-emp-not-inc, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,12.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -32, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, 7th-8th,4.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,35.0, Guatemala,<=50K -23, Private, 9th,5.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -59, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, 12th,8.0, Never-married, Craft-repair, Other-relative, Other, Male,0.0,0.0,48.0, Guatemala,<=50K -36, Private, 10th,6.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -33, Private, 9th,5.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -60, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Wife, White, Female,0.0,0.0,15.0, Germany,>50K -40, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,48.0, Mexico,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -27, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,43.0, United-States,<=50K -45, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,3908.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -32, Federal-gov, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,13.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, State-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,114.0,0.0,38.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1848.0,50.0, United-States,>50K -46, Private, 1st-4th,2.0, Widowed, Other-service, Unmarried, Other, Female,0.0,0.0,30.0, Mexico,<=50K -39, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -79, Self-emp-not-inc, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2407.0,0.0,65.0, United-States,<=50K -37, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,3137.0,0.0,77.0, Vietnam,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1579.0,45.0, El-Salvador,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,43.0, United-States,<=50K -55, Local-gov, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 7th-8th,4.0, Never-married, Farming-fishing, Unmarried, Other, Male,0.0,0.0,36.0, Mexico,<=50K -29, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,35.0, Mexico,<=50K -22, Private, Assoc-voc,11.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,40.0, Mexico,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,84.0, United-States,>50K -29, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -25, State-gov, Some-college,10.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Federal-gov, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -30, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -55, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, 12th,8.0, Never-married, Exec-managerial, Not-in-family, White, Male,4650.0,0.0,50.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,8614.0,0.0,40.0, United-States,>50K -42, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,55.0, Germany,<=50K -62, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -65, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -23, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -50, Self-emp-inc, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Federal-gov, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,14344.0,0.0,40.0, United-States,>50K -76, Private, 10th,6.0, Widowed, Sales, Unmarried, Black, Female,0.0,0.0,12.0, United-States,<=50K -54, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, Black, Female,0.0,0.0,60.0, United-States,<=50K -32, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,52.0, United-States,<=50K -31, Federal-gov, Bachelors,13.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -65, Self-emp-not-inc, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,1668.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,60.0, Ireland,>50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -40, Federal-gov, Masters,14.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,1902.0,40.0, Philippines,>50K -26, State-gov, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -34, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Bachelors,13.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -39, Self-emp-not-inc, Bachelors,13.0, Separated, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1848.0,50.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, Cambodia,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Federal-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,20.0, United-States,>50K -48, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Local-gov, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -59, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -29, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,35.0, Philippines,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -51, Federal-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1564.0,70.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,8614.0,0.0,45.0, United-States,>50K -42, Local-gov, 11th,7.0, Divorced, Sales, Unmarried, White, Male,7430.0,0.0,50.0, Puerto-Rico,>50K -49, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -40, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,1564.0,60.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,30.0, Italy,<=50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,4101.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -51, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,35.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Male,0.0,0.0,9.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,<=50K -31, Private, 11th,7.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -52, Private, 5th-6th,3.0, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -56, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -81, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -57, Federal-gov, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,48.0, United-States,>50K -34, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Male,0.0,2001.0,40.0, United-States,<=50K -68, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Other-relative, Black, Female,2346.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -37, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 7th-8th,4.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -31, Private, Bachelors,13.0, Separated, Exec-managerial, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -75, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -43, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0.0,1092.0,40.0, Philippines,<=50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -57, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -18, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Separated, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,5178.0,0.0,90.0, United-States,>50K -41, State-gov, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Female,0.0,1594.0,20.0, United-States,<=50K -32, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,65.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -42, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -50, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,1902.0,38.0, United-States,>50K -49, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -42, State-gov, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, 11th,7.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -29, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -33, Federal-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -51, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -38, Self-emp-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1485.0,50.0, United-States,>50K -37, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -44, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,1876.0,42.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Local-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,1902.0,40.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,36.0, Portugal,>50K -45, Private, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, White, Female,10520.0,0.0,50.0, United-States,>50K -37, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Local-gov, Masters,14.0, Widowed, Prof-specialty, Unmarried, White, Female,914.0,0.0,50.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,2174.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Other-relative, White, Female,0.0,0.0,40.0, Cuba,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,24.0, Vietnam,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,2407.0,0.0,50.0, United-States,<=50K -30, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Separated, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -48, State-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -44, Self-emp-not-inc, HS-grad,9.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Local-gov, 9th,5.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,>50K -31, State-gov, Assoc-acdm,12.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2407.0,0.0,40.0, United-States,<=50K -47, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -46, Federal-gov, 11th,7.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,1740.0,20.0, United-States,<=50K -28, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -33, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -38, Local-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, Federal-gov, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -63, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -45, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -49, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,8.0, United-States,<=50K -41, Private, Bachelors,13.0, Widowed, Exec-managerial, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -25, Private, Masters,14.0, Separated, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, Assoc-voc,11.0, Widowed, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Local-gov, 11th,7.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,20.0, Puerto-Rico,<=50K -28, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,16.0, United-States,>50K -31, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Own-child, Other, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -51, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1902.0,60.0, United-States,>50K -34, Private, HS-grad,9.0, Never-married, Exec-managerial, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -46, State-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,1977.0,40.0, China,>50K -37, Private, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, Mexico,<=50K -56, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,8614.0,0.0,48.0, United-States,>50K -34, Private, HS-grad,9.0, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, Guatemala,<=50K -41, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Handlers-cleaners, Unmarried, Black, Male,0.0,0.0,37.0, United-States,<=50K -19, Federal-gov, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -47, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Private, Assoc-voc,11.0, Separated, Exec-managerial, Unmarried, Black, Female,0.0,0.0,60.0, United-States,<=50K -33, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -29, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -43, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -58, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -47, Self-emp-inc, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,27828.0,0.0,50.0, United-States,>50K -55, Private, Bachelors,13.0, Never-married, Tech-support, Other-relative, White, Female,0.0,1590.0,38.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,5013.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,10605.0,0.0,40.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -76, Private, 9th,5.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,13.0, United-States,<=50K -23, State-gov, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, 5th-6th,3.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,30.0, Japan,<=50K -48, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -27, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Federal-gov, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1672.0,40.0, United-States,<=50K -57, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Cuba,<=50K -59, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0.0,0.0,49.0, Mexico,<=50K -17, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, Canada,<=50K -63, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,24.0, United-States,<=50K -42, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,25.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -55, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, State-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -48, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 7th-8th,4.0, Separated, Farming-fishing, Not-in-family, White, Male,0.0,0.0,45.0, Mexico,<=50K -32, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -39, Private, HS-grad,9.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,47.0, United-States,<=50K -57, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,594.0,0.0,40.0, United-States,<=50K -22, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, State-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -22, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, 1st-4th,2.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -68, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -61, Private, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -48, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -32, Federal-gov, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,32.0, United-States,<=50K -35, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Separated, Sales, Unmarried, Black, Female,0.0,0.0,16.0, United-States,<=50K -40, Private, Bachelors,13.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -41, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,60.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,98.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -53, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -44, Private, 1st-4th,2.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,58.0, Poland,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -65, Local-gov, HS-grad,9.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -39, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,65.0, United-States,>50K -46, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,2580.0,0.0,60.0, United-States,<=50K -47, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,47.0, United-States,>50K -62, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -90, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,35.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1672.0,45.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Private, Bachelors,13.0, Married-spouse-absent, Other-service, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Male,0.0,0.0,18.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Poland,<=50K -59, Federal-gov, HS-grad,9.0, Widowed, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -49, Private, 7th-8th,4.0, Never-married, Prof-specialty, Other-relative, Black, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Other, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -39, State-gov, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1902.0,55.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -55, State-gov, Assoc-voc,11.0, Widowed, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,38.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 10th,6.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -47, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, Canada,<=50K -57, Local-gov, HS-grad,9.0, Widowed, Transport-moving, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, 7th-8th,4.0, Widowed, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -49, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,2377.0,40.0, United-States,>50K -41, Federal-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, State-gov, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,30.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -58, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, Canada,<=50K -26, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -57, Private, 10th,6.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,70.0, Germany,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1628.0,60.0, United-States,<=50K -42, Private, HS-grad,9.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,2174.0,0.0,55.0, United-States,<=50K -39, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386.0,0.0,48.0, United-States,>50K -51, Self-emp-not-inc, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,39.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, Some-college,10.0, Divorced, Farming-fishing, Unmarried, White, Female,10520.0,0.0,30.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -47, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,49.0, United-States,<=50K -42, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,41.0, United-States,<=50K -27, Private, Masters,14.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -41, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -49, Local-gov, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -26, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Sales, Own-child, White, Male,0.0,0.0,26.0, United-States,>50K -67, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, Black, Female,0.0,0.0,38.0, United-States,<=50K -49, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -25, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, State-gov, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,99999.0,0.0,36.0, United-States,>50K -65, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -66, Private, Assoc-voc,11.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, 11th,7.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,60.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,3411.0,0.0,38.0, United-States,<=50K -27, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Cuba,>50K -43, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Taiwan,>50K -63, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1740.0,35.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -41, Local-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,45.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -30, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, Iran,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,52.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0.0,0.0,35.0, Taiwan,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -18, Private, 12th,8.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -54, Federal-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -43, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -20, State-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -52, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -57, Local-gov, 7th-8th,4.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, 11th,7.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -39, Federal-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1887.0,60.0, United-States,>50K -52, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-spouse-absent, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, Cuba,<=50K -35, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -50, Private, Assoc-voc,11.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -48, Federal-gov, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, Canada,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -36, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,42.0, United-States,<=50K -30, Local-gov, Assoc-acdm,12.0, Never-married, Protective-serv, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -21, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,43.0, Mexico,<=50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, Scotland,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Federal-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Self-emp-not-inc, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -22, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -59, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -38, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Transport-moving, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -90, Private, 9th,5.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -45, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -23, Self-emp-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -39, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,43.0, United-States,<=50K -44, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -25, Private, 9th,5.0, Separated, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,32.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0.0,0.0,55.0, United-States,>50K -80, Private, Masters,14.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -35, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -49, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,1740.0,25.0, United-States,<=50K -53, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Poland,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -42, Federal-gov, Masters,14.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,2001.0,60.0, United-States,<=50K -29, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Self-emp-not-inc, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,20.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -37, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, 7th-8th,4.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, Mexico,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -52, Private, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -58, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,<=50K -53, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, Cuba,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -35, Private, 11th,7.0, Divorced, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 12th,8.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,>50K -28, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2580.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,53.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -30, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -34, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -49, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,2042.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,20.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,48.0, United-States,>50K -54, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Local-gov, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,70.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -41, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,35.0, United-States,<=50K -90, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051.0,0.0,60.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Protective-serv, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -63, Private, Masters,14.0, Separated, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -46, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,0.0,50.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -61, Private, 9th,5.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,>50K -23, State-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Divorced, Tech-support, Unmarried, White, Male,7430.0,0.0,40.0, Germany,>50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,12.0, United-States,<=50K -31, Private, 12th,8.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,21.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,55.0, United-States,<=50K -63, Private, Bachelors,13.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -29, State-gov, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,1590.0,64.0, United-States,<=50K -43, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,10.0, Vietnam,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -23, Self-emp-not-inc, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,2231.0,40.0, United-States,>50K -35, Private, 9th,5.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Other, Female,0.0,0.0,28.0, United-States,<=50K -50, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -26, Local-gov, Masters,14.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -90, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,>50K -35, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -31, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -60, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,33.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0.0,1579.0,40.0, United-States,<=50K -71, Local-gov, Masters,14.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -50, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,<=50K -74, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -67, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1844.0,70.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -63, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -39, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,63.0, United-States,<=50K -33, State-gov, Some-college,10.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -39, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -29, State-gov, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,13550.0,0.0,43.0, United-States,>50K -46, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -44, Private, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Female,2354.0,0.0,99.0, United-States,<=50K -56, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, 9th,5.0, Married-spouse-absent, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,30.0, China,<=50K -39, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -45, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,45.0, Italy,<=50K -35, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -56, Private, 11th,7.0, Separated, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,16.0, El-Salvador,<=50K -45, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,12.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,55.0, United-States,>50K -53, Private, 10th,6.0, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, Columbia,<=50K -47, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,3325.0,0.0,45.0, United-States,<=50K -49, Self-emp-inc, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-inc, Some-college,10.0, Divorced, Other-service, Unmarried, White, Male,0.0,0.0,80.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -44, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,65.0, United-States,>50K -54, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -19, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -61, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,15024.0,0.0,18.0, United-States,>50K -19, Self-emp-not-inc, 10th,6.0, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, 7th-8th,4.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -35, Private, 10th,6.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -41, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,80.0, United-States,<=50K -62, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, Japan,<=50K -25, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,4416.0,0.0,42.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,75.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Federal-gov, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -60, Private, Masters,14.0, Divorced, Prof-specialty, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -40, Private, Bachelors,13.0, Never-married, Adm-clerical, Unmarried, Black, Female,2977.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -32, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -27, Private, 1st-4th,2.0, Never-married, Other-service, Own-child, Other, Male,0.0,0.0,35.0, Dominican-Republic,<=50K -48, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, England,<=50K -33, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -21, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -27, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -69, Private, 10th,6.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -37, Private, 5th-6th,3.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Own-child, White, Female,0.0,0.0,39.0, United-States,<=50K -34, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -31, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -42, State-gov, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Female,8614.0,0.0,60.0, United-States,>50K -26, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -39, Private, Some-college,10.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,75.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Local-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,30.0, United-States,<=50K -44, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -34, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,38.0, United-States,>50K -21, Self-emp-inc, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -44, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Local-gov, Assoc-acdm,12.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,56.0, United-States,<=50K -21, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, Bachelors,13.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,60.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -51, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, HS-grad,9.0, Separated, Protective-serv, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -58, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Private, Some-college,10.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -45, Private, Some-college,10.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Cambodia,>50K -38, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,7688.0,0.0,40.0, United-States,>50K -39, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -27, Private, Some-college,10.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -58, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -45, Private, Bachelors,13.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -55, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -57, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -30, Self-emp-not-inc, Some-college,10.0, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male,0.0,2258.0,40.0, South,<=50K -29, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -66, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Black, Female,0.0,0.0,3.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,2597.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -34, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -59, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,43.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0.0,0.0,24.0, United-States,<=50K -23, Private, 11th,7.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, Philippines,<=50K -55, Local-gov, Assoc-voc,11.0, Separated, Prof-specialty, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -39, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, 7th-8th,4.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,75.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Sales, Own-child, White, Female,0.0,0.0,38.0, United-States,>50K -53, State-gov, Doctorate,16.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,25.0, United-States,<=50K -35, Private, Masters,14.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -44, Private, Some-college,10.0, Divorced, Farming-fishing, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Poland,<=50K -23, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,25.0, Ireland,<=50K -49, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,2174.0,0.0,60.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -21, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,46.0, United-States,>50K -54, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Some-college,10.0, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -46, Private, HS-grad,9.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -47, State-gov, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Private, 5th-6th,3.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -35, Private, 12th,8.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -57, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -48, Private, 10th,6.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,34.0, United-States,<=50K -46, Federal-gov, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, State-gov, Masters,14.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -62, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Female,8614.0,0.0,39.0, United-States,>50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,33.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,27.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,41.0, United-States,>50K -38, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1902.0,40.0, United-States,>50K -37, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, 7th-8th,4.0, Never-married, Craft-repair, Own-child, White, Male,0.0,1602.0,32.0, United-States,<=50K -31, Private, 9th,5.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Separated, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,35.0, Puerto-Rico,<=50K -72, Private, 1st-4th,2.0, Divorced, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1848.0,50.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,16.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,44.0, United-States,>50K -38, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 10th,6.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,30.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -49, Private, Masters,14.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -60, Private, 9th,5.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -69, State-gov, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,810.0,38.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -40, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -63, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -31, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,15024.0,0.0,56.0, United-States,>50K -51, Private, Bachelors,13.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -51, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2885.0,0.0,45.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -30, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, Germany,<=50K -31, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -43, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, State-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,2824.0,45.0, United-States,>50K -46, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 5th-6th,3.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,50.0, Guatemala,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -39, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Separated, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Divorced, Transport-moving, Not-in-family, White, Male,14344.0,0.0,48.0, United-States,>50K -46, Local-gov, Prof-school,15.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -49, Private, 1st-4th,2.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 9th,5.0, Never-married, Priv-house-serv, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,55.0, Mexico,<=50K -46, Private, 1st-4th,2.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -42, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -20, Private, 9th,5.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -56, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -61, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,>50K -60, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2228.0,0.0,37.0, United-States,<=50K -33, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, Canada,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3103.0,0.0,55.0, United-States,>50K -57, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Other, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Assoc-voc,11.0, Divorced, Tech-support, Other-relative, White, Female,0.0,0.0,36.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -54, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -32, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Wife, White, Female,4064.0,0.0,22.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Assoc-acdm,12.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -42, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Local-gov, Assoc-acdm,12.0, Widowed, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,2051.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -21, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Federal-gov, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -43, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,42.0, China,<=50K -52, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, England,<=50K -61, Private, 7th-8th,4.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -43, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, Germany,>50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -19, Private, 10th,6.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -23, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,18.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,0.0,43.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, Black, Male,0.0,0.0,20.0, Haiti,<=50K -53, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Some-college,10.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -45, Private, Some-college,10.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -37, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -53, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,50.0, United-States,>50K -65, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, 10th,6.0, Divorced, Farming-fishing, Unmarried, White, Male,0.0,0.0,70.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -19, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -60, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,38.0, Cuba,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -30, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, Greece,>50K -22, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -25, Private, 1st-4th,2.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, Guatemala,<=50K -18, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,6.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Female,0.0,0.0,36.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,2174.0,0.0,40.0, United-States,<=50K -67, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,8.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,1602.0,24.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,11.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -73, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -66, Self-emp-inc, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -66, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -64, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,3325.0,0.0,53.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -33, Private, 11th,7.0, Separated, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, 7th-8th,4.0, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male,0.0,0.0,50.0, Dominican-Republic,<=50K -34, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -41, Local-gov, 7th-8th,4.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,2907.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -36, Self-emp-not-inc, Masters,14.0, Never-married, Sales, Not-in-family, White, Male,10520.0,0.0,45.0, United-States,>50K -37, Private, 1st-4th,2.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,85.0, Mexico,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,30.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -62, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -58, Self-emp-not-inc, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Greece,<=50K -42, Self-emp-inc, HS-grad,9.0, Divorced, Sales, Unmarried, White, Male,1151.0,0.0,50.0, United-States,<=50K -43, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, State-gov, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -64, Local-gov, 9th,5.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,5013.0,0.0,45.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,50.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,15.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -33, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -23, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Wife, Asian-Pac-Islander, Female,0.0,0.0,20.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,27828.0,0.0,55.0, United-States,>50K -32, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,25.0, Greece,<=50K -25, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -24, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,44.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Self-emp-inc, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -22, Private, 10th,6.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -57, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -42, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,4650.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,1719.0,30.0, United-States,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,32.0, United-States,>50K -20, Local-gov, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,14084.0,0.0,16.0, United-States,>50K -71, Private, Some-college,10.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,35.0, United-States,>50K -52, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,48.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -26, Private, 10th,6.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -35, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -20, Private, 9th,5.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,36.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -24, Private, 11th,7.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,37.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -59, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,36.0, United-States,<=50K -38, State-gov, Some-college,10.0, Separated, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,70.0, United-States,>50K -45, Self-emp-not-inc, 12th,8.0, Divorced, Craft-repair, Other-relative, Black, Male,0.0,0.0,35.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,60.0, Canada,>50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Laos,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,24.0, Mexico,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -37, Self-emp-inc, 10th,6.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,2559.0,50.0, United-States,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, Japan,>50K -44, Local-gov, HS-grad,9.0, Divorced, Transport-moving, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -56, Private, Bachelors,13.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, 10th,6.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, 9th,5.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, 11th,7.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, Mexico,>50K -40, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -79, Local-gov, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,7.0, United-States,<=50K -44, Private, 10th,6.0, Divorced, Adm-clerical, Unmarried, Other, Female,0.0,0.0,42.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999.0,0.0,50.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,3103.0,0.0,48.0, United-States,>50K -33, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -50, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,45.0, United-States,>50K -51, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Self-emp-inc, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,9386.0,0.0,40.0, United-States,>50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Self-emp-not-inc, 10th,6.0, Divorced, Exec-managerial, Own-child, White, Male,0.0,0.0,60.0, United-States,>50K -47, Private, Some-college,10.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -51, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Local-gov, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -61, Self-emp-inc, Bachelors,13.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,8614.0,0.0,60.0, United-States,>50K -41, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Local-gov, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,43.0, United-States,<=50K -78, Self-emp-not-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,99999.0,0.0,20.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, Japan,<=50K -25, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -26, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -43, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,68.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, Poland,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, Black, Female,0.0,0.0,30.0, Jamaica,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -61, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,2414.0,0.0,5.0, United-States,<=50K -42, Private, Bachelors,13.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2290.0,0.0,40.0, Greece,<=50K -33, Federal-gov, Assoc-acdm,12.0, Divorced, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 10th,6.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -45, Self-emp-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-spouse-absent, Farming-fishing, Unmarried, Other, Male,0.0,0.0,40.0, Mexico,<=50K -56, Private, 9th,5.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,32.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -47, Local-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7688.0,0.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -33, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -48, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,98.0, United-States,<=50K -57, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,8.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -58, Local-gov, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, 11th,7.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -23, Private, 12th,8.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -46, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1887.0,70.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -56, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -19, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,18.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, 9th,5.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, 9th,5.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,23.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, White, Male,0.0,1876.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,36.0, United-States,<=50K -40, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -18, Self-emp-inc, 11th,7.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, 10th,6.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,41.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -57, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -58, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Federal-gov, Masters,14.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,10520.0,0.0,50.0, United-States,>50K -45, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -40, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0.0,2258.0,48.0, Philippines,<=50K -38, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -58, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -46, Federal-gov, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -64, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, England,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,2051.0,50.0, United-States,<=50K -59, Local-gov, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -57, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Self-emp-inc, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -58, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -39, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0.0,0.0,70.0, South,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, 9th,5.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, Bachelors,13.0, Married-spouse-absent, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -70, Private, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,4064.0,0.0,60.0, United-States,<=50K -56, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -79, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051.0,0.0,35.0, El-Salvador,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -71, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,2.0, United-States,<=50K -50, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -29, Local-gov, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, Iran,<=50K -33, Private, 10th,6.0, Separated, Other-service, Unmarried, White, Female,3418.0,0.0,35.0, United-States,<=50K -60, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, 10th,6.0, Never-married, Handlers-cleaners, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,52.0, United-States,<=50K -32, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,9.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -39, State-gov, Some-college,10.0, Separated, Exec-managerial, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -21, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -36, Private, 11th,7.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -37, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Separated, Prof-specialty, Unmarried, Other, Female,0.0,0.0,60.0, Puerto-Rico,<=50K -49, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Federal-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,8614.0,0.0,40.0, United-States,>50K -33, Local-gov, HS-grad,9.0, Divorced, Protective-serv, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, Black, Male,0.0,0.0,40.0, Jamaica,>50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -84, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -55, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -30, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -34, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, Masters,14.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,99999.0,0.0,40.0, United-States,>50K -25, Self-emp-not-inc, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -24, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,50.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -90, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,10566.0,0.0,50.0, United-States,<=50K -67, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051.0,0.0,60.0, United-States,>50K -22, Self-emp-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2580.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,55.0, United-States,>50K -55, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -48, Private, Some-college,10.0, Separated, Adm-clerical, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Other, Male,0.0,0.0,35.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Married-spouse-absent, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -44, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,37.0, Mexico,<=50K -18, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,60.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,42.0, United-States,<=50K -42, Private, HS-grad,9.0, Widowed, Sales, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386.0,0.0,55.0, United-States,>50K -40, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Local-gov, Some-college,10.0, Separated, Protective-serv, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Craft-repair, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -42, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -63, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Self-emp-not-inc, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,4.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 9th,5.0, Never-married, Adm-clerical, Unmarried, Black, Female,114.0,0.0,20.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -51, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -38, Local-gov, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,56.0, United-States,<=50K -52, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2051.0,40.0, United-States,<=50K -70, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -53, Private, 10th,6.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -24, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -40, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024.0,0.0,30.0, Iran,>50K -22, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Some-college,10.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,28.0, United-States,<=50K -70, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,23.0, United-States,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -77, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,39.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -58, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,25.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -50, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -54, State-gov, HS-grad,9.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -23, State-gov, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013.0,0.0,40.0, Germany,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,8.0, India,<=50K -43, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -48, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, Yugoslavia,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,35.0, Puerto-Rico,>50K -66, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,14084.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1902.0,70.0, Canada,>50K -34, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Germany,>50K -42, Self-emp-inc, 7th-8th,4.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,25.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,55.0, United-States,<=50K -50, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -37, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -44, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,24.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -49, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -75, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,20.0, United-States,>50K -37, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -61, Local-gov, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -50, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,2051.0,20.0, United-States,<=50K -46, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -61, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,87.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -46, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2392.0,50.0, United-States,>50K -35, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Self-emp-inc, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -37, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,2057.0,60.0, China,<=50K -41, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,54.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,594.0,0.0,30.0, United-States,<=50K -44, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,88.0, United-States,<=50K -41, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,48.0, United-States,>50K -33, State-gov, Some-college,10.0, Separated, Prof-specialty, Not-in-family, White, Male,10520.0,0.0,40.0, United-States,>50K -37, Private, 9th,5.0, Separated, Priv-house-serv, Unmarried, White, Female,0.0,0.0,16.0, Mexico,<=50K -34, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Self-emp-not-inc, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Federal-gov, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,8.0, United-States,<=50K -55, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,73.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Self-emp-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,70.0, United-States,<=50K -40, Private, 9th,5.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,46.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,8.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,17.0, United-States,<=50K -34, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -49, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -74, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,15831.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,1573.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -34, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,27828.0,0.0,40.0, United-States,>50K -30, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,1740.0,40.0, Haiti,<=50K -44, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -40, Private, 10th,6.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,32.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, Greece,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,25.0, United-States,>50K -39, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,18.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,70.0, United-States,>50K -29, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Federal-gov, Some-college,10.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Preschool,1.0, Married-civ-spouse, Farming-fishing, Other-relative, White, Male,41310.0,0.0,24.0, Mexico,<=50K -54, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -40, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,37.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,25.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,594.0,0.0,10.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -80, Private, 7th-8th,4.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -24, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, State-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -42, Federal-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,14084.0,0.0,60.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,32.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -47, Private, 10th,6.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -26, Private, 12th,8.0, Never-married, Sales, Other-relative, Black, Male,0.0,0.0,51.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, Puerto-Rico,<=50K -70, Local-gov, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,17.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -47, Private, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -25, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -52, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,20.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -53, State-gov, Some-college,10.0, Divorced, Adm-clerical, Other-relative, White, Female,4650.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -39, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Male,0.0,0.0,42.0, United-States,<=50K -54, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -38, Private, 10th,6.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,2559.0,90.0, United-States,>50K -41, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,33.0, United-States,<=50K -43, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -39, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -49, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,4650.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -54, Federal-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Self-emp-inc, 5th-6th,3.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Mexico,>50K -57, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, State-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -50, Self-emp-not-inc, HS-grad,9.0, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,48.0, South,<=50K -36, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -39, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -18, Private, 10th,6.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,36.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Female,1151.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,36.0, Philippines,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -51, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,13.0, United-States,<=50K -37, Self-emp-not-inc, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -29, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,37.0, United-States,<=50K -61, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Female,0.0,0.0,49.0, United-States,<=50K -49, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0.0,0.0,38.0, United-States,<=50K -51, Self-emp-not-inc, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Male,25236.0,0.0,50.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,37.0, United-States,<=50K -49, Self-emp-inc, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Male,99999.0,0.0,80.0, Mexico,>50K -26, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, 10th,6.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,55.0, Iran,<=50K -63, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, 7th-8th,4.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, Canada,<=50K -23, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Male,27828.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -44, Self-emp-not-inc, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,2205.0,35.0, United-States,<=50K -33, Private, HS-grad,9.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,2597.0,0.0,45.0, United-States,<=50K -55, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,1672.0,40.0, United-States,<=50K -75, Self-emp-not-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,2346.0,0.0,15.0, United-States,<=50K -61, Private, 9th,5.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -48, Private, Some-college,10.0, Widowed, Sales, Unmarried, White, Male,0.0,0.0,50.0, United-States,>50K -28, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, Some-college,10.0, Divorced, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -40, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -55, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,30.0, United-States,>50K -31, Local-gov, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -26, State-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,2463.0,0.0,50.0, India,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -40, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -19, Self-emp-not-inc, 11th,7.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,63.0, South,<=50K -26, Private, Bachelors,13.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -42, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, 11th,7.0, Separated, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -34, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,45.0, Germany,>50K -23, Private, Some-college,10.0, Separated, Other-service, Not-in-family, White, Male,0.0,2559.0,40.0, United-States,>50K -35, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,60.0, United-States,<=50K -41, Private, 11th,7.0, Divorced, Priv-house-serv, Unmarried, White, Female,0.0,0.0,25.0, Guatemala,<=50K -39, Private, Masters,14.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -33, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,1504.0,45.0, United-States,<=50K -25, Private, Some-college,10.0, Divorced, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -77, Self-emp-not-inc, 7th-8th,4.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0.0,0.0,20.0, Italy,>50K -66, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -45, Self-emp-inc, Masters,14.0, Divorced, Sales, Unmarried, White, Female,25236.0,0.0,42.0, United-States,>50K -28, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,2597.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,4386.0,0.0,40.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -62, Private, 7th-8th,4.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,6.0, Iran,<=50K -23, Local-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,30.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Italy,>50K -38, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Local-gov, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -23, Private, 9th,5.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,39.0, Mexico,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -43, Private, Some-college,10.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,10.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -33, State-gov, Some-college,10.0, Separated, Adm-clerical, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -26, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, Mexico,<=50K -56, Self-emp-inc, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,27828.0,0.0,60.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -90, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -72, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,25.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,15.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,48.0, United-States,<=50K -49, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -20, Private, Some-college,10.0, Married-spouse-absent, Sales, Own-child, Black, Female,0.0,0.0,18.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,4508.0,0.0,40.0, South,<=50K -46, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,55.0, Jamaica,<=50K -49, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, Greece,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -46, Federal-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1564.0,50.0, United-States,>50K -31, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Widowed, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -21, Federal-gov, 12th,8.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,25.0, United-States,<=50K -52, State-gov, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,70.0, United-States,>50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,32.0, United-States,>50K -28, Private, Assoc-voc,11.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -49, Private, 11th,7.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,50.0, Jamaica,>50K -31, Private, Some-college,10.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,5013.0,0.0,50.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1902.0,35.0, United-States,>50K -39, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -58, Private, 11th,7.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -36, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1902.0,35.0, United-States,>50K -19, Private, 11th,7.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Own-child, Other, Female,0.0,0.0,60.0, Jamaica,<=50K -38, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -41, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,25.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Self-emp-not-inc, HS-grad,9.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,66.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,14.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -60, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Prof-specialty, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,14.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,90.0, United-States,<=50K -36, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,36.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,38.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -57, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Self-emp-inc, 11th,7.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Exec-managerial, Own-child, White, Male,0.0,0.0,44.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,42.0, United-States,<=50K -51, Local-gov, 9th,5.0, Separated, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -42, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, Black, Female,5455.0,0.0,50.0, United-States,<=50K -25, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -40, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -58, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -52, Private, HS-grad,9.0, Married-spouse-absent, Farming-fishing, Other-relative, White, Male,0.0,0.0,20.0, Mexico,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -27, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013.0,0.0,45.0, United-States,<=50K -63, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,2051.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,2174.0,0.0,40.0, United-States,<=50K -31, Private, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,14084.0,0.0,50.0, United-States,>50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, Black, Male,0.0,0.0,72.0, United-States,<=50K -39, Local-gov, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,1876.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, Black, Female,0.0,0.0,35.0, United-States,<=50K -44, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -39, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1974.0,40.0, United-States,<=50K -61, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1672.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, Germany,<=50K -39, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,2829.0,0.0,90.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -75, Self-emp-not-inc, Bachelors,13.0, Widowed, Prof-specialty, Unmarried, White, Male,0.0,0.0,48.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -81, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -54, Self-emp-inc, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, Canada,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,65.0, Iran,<=50K -54, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999.0,0.0,50.0, Philippines,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,45.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,2580.0,0.0,20.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, Mexico,<=50K -44, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Own-child, White, Female,0.0,0.0,60.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, 7th-8th,4.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,1590.0,40.0, United-States,<=50K -53, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,3471.0,0.0,40.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -28, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, Germany,>50K -57, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -33, Local-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1848.0,45.0, United-States,>50K -30, Private, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,55.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -54, Private, 11th,7.0, Divorced, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,10.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, State-gov, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,70.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, Black, Female,0.0,0.0,38.0, United-States,<=50K -22, Local-gov, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -59, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,13.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, 11th,7.0, Separated, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,7.0, United-States,<=50K -67, Private, Masters,14.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -47, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,5.0, United-States,<=50K -20, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, Peru,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, Peru,<=50K -47, State-gov, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -35, State-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Federal-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -73, Self-emp-inc, 10th,6.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,40.0, Canada,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -59, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,52.0, United-States,>50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4064.0,0.0,35.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Exec-managerial, Other-relative, Black, Female,0.0,0.0,55.0, United-States,<=50K -55, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,60.0, United-States,<=50K -22, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Separated, Tech-support, Not-in-family, White, Female,0.0,0.0,26.0, United-States,<=50K -47, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,80.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -68, Private, 11th,7.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, 9th,5.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -48, Private, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -39, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -23, State-gov, 12th,8.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Separated, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,42.0, United-States,>50K -58, Private, Assoc-voc,11.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -67, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,2.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,8.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -24, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Transport-moving, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Own-child, White, Male,0.0,0.0,72.0, Mexico,<=50K -36, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Laos,<=50K -43, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -45, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,46.0, United-States,<=50K -41, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -48, Local-gov, Assoc-acdm,12.0, Separated, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -54, Private, Preschool,1.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, Some-college,10.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,48.0, Iran,<=50K -19, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -47, Private, 7th-8th,4.0, Divorced, Handlers-cleaners, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -35, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -73, Self-emp-not-inc, 12th,8.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,18.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,10.0, Canada,<=50K -32, Private, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -43, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Other, Female,0.0,0.0,40.0, Columbia,<=50K -41, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -52, State-gov, Some-college,10.0, Separated, Protective-serv, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -57, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,0.0,0.0,44.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, 7th-8th,4.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -17, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -39, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -34, Self-emp-not-inc, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -37, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 12th,8.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -53, Self-emp-not-inc, 10th,6.0, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0.0,0.0,99.0, United-States,<=50K -26, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,32.0, United-States,<=50K -54, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -60, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,2205.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -65, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,6514.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -46, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, Cuba,<=50K -24, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,50.0, Philippines,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -43, State-gov, Assoc-acdm,12.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, South,<=50K -41, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, Black, Female,0.0,0.0,45.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -46, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,75.0, Greece,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,25.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -37, Local-gov, Some-college,10.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1590.0,60.0, United-States,<=50K -33, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, England,>50K -44, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -63, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, Mexico,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -37, Self-emp-inc, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -46, Self-emp-inc, Assoc-voc,11.0, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,63.0, Thailand,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, Honduras,<=50K -69, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Unmarried, White, Male,2538.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, India,<=50K -32, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3908.0,0.0,40.0, United-States,<=50K -27, Private, 10th,6.0, Divorced, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,75.0, United-States,<=50K -60, Private, 7th-8th,4.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, Cuba,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,52.0, United-States,>50K -69, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -54, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Self-emp-not-inc, 7th-8th,4.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -63, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,10566.0,0.0,45.0, United-States,<=50K -29, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -64, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Private, 10th,6.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688.0,0.0,38.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -37, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -63, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,36.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -57, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,1977.0,40.0, United-States,>50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,4386.0,0.0,45.0, United-States,>50K -58, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -25, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,1055.0,0.0,20.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -61, Self-emp-not-inc, HS-grad,9.0, Widowed, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -26, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Married-spouse-absent, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,39.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,48.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,12.0, United-States,<=50K -37, Private, HS-grad,9.0, Separated, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-inc, Assoc-voc,11.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,21.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -47, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -28, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -41, Federal-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,36.0, United-States,>50K -73, Self-emp-not-inc, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Male,0.0,0.0,24.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, Outlying-US(Guam-USVI-etc),<=50K -38, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,15024.0,0.0,60.0, Canada,>50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,974.0,40.0, United-States,<=50K -61, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -58, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -51, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,1564.0,43.0, United-States,>50K -49, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,55.0, England,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -19, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,53.0, United-States,<=50K -56, Private, 11th,7.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Federal-gov, Some-college,10.0, Divorced, Tech-support, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,20.0, United-States,<=50K -41, Private, Doctorate,16.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,50.0, United-States,>50K -30, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-inc, 10th,6.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,2559.0,50.0, United-States,>50K -55, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -31, Private, 10th,6.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -49, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 7th-8th,4.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,25.0, Germany,<=50K -50, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,20.0, South,<=50K -49, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Private, HS-grad,9.0, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,50.0, South,<=50K -46, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -31, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, Cuba,<=50K -38, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Preschool,1.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -50, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Federal-gov, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, Ecuador,<=50K -31, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,65.0, United-States,>50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -44, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2415.0,50.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -45, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -50, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -53, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -41, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,65.0, United-States,>50K -45, Private, Some-college,10.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, 10th,6.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,39.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -42, Federal-gov, HS-grad,9.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -45, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -30, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,56.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,6497.0,0.0,50.0, United-States,<=50K -33, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,60.0, Germany,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,1669.0,55.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -46, Private, Assoc-voc,11.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, Masters,14.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,6.0, United-States,<=50K -47, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -52, Local-gov, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -54, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Other-relative, White, Female,0.0,0.0,10.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -25, Self-emp-not-inc, 9th,5.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -36, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,1876.0,44.0, United-States,<=50K -69, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -21, Private, 7th-8th,4.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,89.0, United-States,<=50K -42, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -29, Private, 11th,7.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,1876.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,44.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Male,15020.0,0.0,50.0, United-States,>50K -36, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,60.0, United-States,>50K -18, Private, 10th,6.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -27, Private, HS-grad,9.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -52, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, Mexico,<=50K -42, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,60.0, United-States,>50K -20, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,48.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,15.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,47.0, United-States,<=50K -38, Private, Some-college,10.0, Separated, Machine-op-inspct, Not-in-family, White, Male,0.0,2258.0,55.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,75.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,34095.0,0.0,20.0, United-States,<=50K -67, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Separated, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -44, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -27, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0.0,0.0,35.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -64, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3137.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,37.0, United-States,>50K -35, Private, 7th-8th,4.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -63, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,1977.0,32.0, China,>50K -40, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -33, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Private, 7th-8th,4.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,45.0, Guatemala,<=50K -45, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,2105.0,0.0,40.0, Vietnam,<=50K -27, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -39, State-gov, Bachelors,13.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,>50K -42, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,30.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -27, Private, Doctorate,16.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Widowed, Sales, Unmarried, White, Female,0.0,1762.0,40.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,46.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -53, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -41, Private, Bachelors,13.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -30, Private, Some-college,10.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -58, State-gov, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, Honduras,<=50K -45, State-gov, Bachelors,13.0, Divorced, Protective-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, 10th,6.0, Divorced, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Other, Female,0.0,1590.0,40.0, United-States,<=50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Separated, Handlers-cleaners, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -22, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Federal-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, Japan,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Farming-fishing, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -32, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -35, State-gov, HS-grad,9.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -40, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3411.0,0.0,40.0, United-States,<=50K -42, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,72.0, India,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, 10th,6.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,46.0, United-States,>50K -33, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -49, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,15024.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Separated, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,2885.0,0.0,32.0, United-States,<=50K -42, State-gov, Doctorate,16.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, Italy,>50K -30, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -37, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-spouse-absent, Sales, Not-in-family, Black, Female,0.0,0.0,38.0, United-States,<=50K -27, Federal-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -54, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,>50K -47, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Yugoslavia,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Other-relative, Black, Male,0.0,0.0,40.0, Haiti,<=50K -39, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,55.0, United-States,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, Ireland,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -31, State-gov, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,55.0, United-States,>50K -63, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -21, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, 1st-4th,2.0, Separated, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -35, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,60.0, Mexico,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0.0,0.0,8.0, Philippines,<=50K -64, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Local-gov, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Priv-house-serv, Other-relative, White, Female,0.0,1602.0,15.0, Mexico,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -67, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -24, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -46, Private, 1st-4th,2.0, Separated, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, Guatemala,<=50K -38, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Taiwan,<=50K -20, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, State-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -37, State-gov, Assoc-acdm,12.0, Divorced, Protective-serv, Not-in-family, Black, Male,0.0,0.0,38.0, United-States,<=50K -45, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -33, State-gov, Masters,14.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -38, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -44, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -49, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,99999.0,0.0,40.0, United-States,>50K -25, State-gov, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -48, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Some-college,10.0, Divorced, Protective-serv, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,14344.0,0.0,40.0, United-States,>50K -42, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -60, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -37, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -44, Local-gov, Assoc-acdm,12.0, Divorced, Tech-support, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Portugal,<=50K -42, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -41, Private, 12th,8.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,10.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1887.0,40.0, United-States,>50K -56, Private, 10th,6.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 7th-8th,4.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,25.0, Guatemala,<=50K -49, Federal-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -42, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -26, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,58.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Own-child, Amer-Indian-Eskimo, Male,4650.0,0.0,48.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -41, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,36.0, United-States,>50K -23, Private, Some-college,10.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -31, Federal-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,57.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Farming-fishing, Own-child, White, Male,27828.0,0.0,50.0, United-States,>50K -39, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3411.0,0.0,45.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,37.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3781.0,0.0,35.0, United-States,<=50K -50, Self-emp-not-inc, 10th,6.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -60, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,22.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -35, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, Iran,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Self-emp-inc, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,13550.0,0.0,50.0, United-States,>50K -55, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -55, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,15024.0,0.0,44.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,23.0, United-States,<=50K -47, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -34, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-not-inc, Some-college,10.0, Widowed, Farming-fishing, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,30.0, United-States,<=50K -28, Self-emp-not-inc, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, 10th,6.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -23, Local-gov, Some-college,10.0, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Guatemala,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,30.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -36, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298.0,0.0,40.0, Mexico,>50K -37, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -39, Local-gov, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -24, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,2354.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,8.0, Mexico,<=50K -26, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -53, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1485.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -34, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -54, Local-gov, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -32, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,2002.0,40.0, Iran,<=50K -29, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,2635.0,0.0,40.0, United-States,<=50K -27, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -54, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Divorced, Priv-house-serv, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0.0,1974.0,40.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -19, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,2174.0,0.0,45.0, United-States,<=50K -41, Private, 12th,8.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -70, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -45, Private, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -83, Private, HS-grad,9.0, Widowed, Protective-serv, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -59, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 9th,5.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,15.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -24, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,52.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,25.0, Mexico,<=50K -53, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -66, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, State-gov, Bachelors,13.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -74, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,1485.0,70.0, United-States,>50K -35, Self-emp-not-inc, Some-college,10.0, Separated, Farming-fishing, Not-in-family, White, Male,4101.0,0.0,60.0, United-States,<=50K -51, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1672.0,70.0, United-States,<=50K -40, Private, Some-college,10.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -26, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3781.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,<=50K -42, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -25, Private, 11th,7.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -29, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -33, Private, Doctorate,16.0, Divorced, Sales, Not-in-family, White, Male,99999.0,0.0,60.0, United-States,>50K -50, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,45.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, 11th,7.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,27.0, El-Salvador,<=50K -71, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,8.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -56, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, Philippines,>50K -23, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 12th,8.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,7430.0,0.0,36.0, United-States,>50K -29, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, Italy,<=50K -20, Private, 11th,7.0, Married-civ-spouse, Sales, Other-relative, White, Female,0.0,0.0,50.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,30.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -46, State-gov, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,42.0, United-States,<=50K -36, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,20.0, United-States,>50K -44, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Self-emp-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -61, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, Black, Male,0.0,0.0,30.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, 10th,6.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,15.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,14084.0,0.0,50.0, United-States,>50K -63, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -42, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -49, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,80.0, United-States,<=50K -46, Private, HS-grad,9.0, Separated, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, Mexico,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -60, Self-emp-not-inc, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,1408.0,40.0, United-States,<=50K -38, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,50.0, Canada,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -45, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,2339.0,40.0, United-States,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -48, State-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,24.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Own-child, Other, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -65, Local-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, United-States,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0.0,0.0,80.0, Thailand,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1672.0,50.0, United-States,<=50K -20, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, 12th,8.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -43, Private, HS-grad,9.0, Separated, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -39, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, Black, Male,2635.0,0.0,37.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,20.0, England,<=50K -35, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,41.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,28.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -32, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -38, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,70.0, United-States,>50K -20, Private, 10th,6.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,65.0, United-States,<=50K -37, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 10th,6.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,50.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -44, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-inc, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,65.0, United-States,>50K -62, Private, HS-grad,9.0, Widowed, Farming-fishing, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2174.0,10.0, United-States,>50K -17, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -31, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1579.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,10.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -38, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -40, Private, Some-college,10.0, Separated, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -43, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,4101.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0.0,0.0,40.0, Ecuador,<=50K -64, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -40, Self-emp-not-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -27, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,60.0, Mexico,<=50K -23, Private, Some-college,10.0, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0.0,0.0,30.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,75.0, United-States,<=50K -47, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -46, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -44, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -31, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,97.0, United-States,>50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -23, Private, Assoc-voc,11.0, Separated, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,35.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3464.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,55.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1876.0,40.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,70.0, United-States,<=50K -34, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -29, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,2174.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,50.0, United-States,>50K -51, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -40, Private, Some-college,10.0, Separated, Craft-repair, Unmarried, White, Male,4934.0,0.0,47.0, United-States,>50K -53, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -58, Federal-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,1485.0,40.0, United-States,>50K -29, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -57, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -69, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -56, Private, HS-grad,9.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,25.0, Mexico,<=50K -49, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -70, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,37.0, United-States,<=50K -44, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,10520.0,0.0,40.0, United-States,>50K -58, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,58.0, United-States,<=50K -42, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -69, Private, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,2050.0,0.0,24.0, United-States,<=50K -84, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,66.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -19, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,24.0, Mexico,<=50K -36, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -34, Private, 12th,8.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, 1st-4th,2.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,21.0, Mexico,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -43, Private, Prof-school,15.0, Separated, Tech-support, Not-in-family, White, Male,0.0,0.0,50.0, Columbia,>50K -42, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, Greece,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, Some-college,10.0, Widowed, Craft-repair, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, 1st-4th,2.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -19, Private, 7th-8th,4.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -56, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,8.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,37.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,99999.0,0.0,56.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -68, Private, Some-college,10.0, Divorced, Priv-house-serv, Other-relative, White, Female,0.0,0.0,30.0, United-States,<=50K -56, Local-gov, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -69, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,8.0, Mexico,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,16.0, Haiti,<=50K -31, Private, 11th,7.0, Divorced, Handlers-cleaners, Other-relative, Black, Male,0.0,1721.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -62, Private, 10th,6.0, Widowed, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,52.0, United-States,<=50K -20, Federal-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -53, Local-gov, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -28, Private, 10th,6.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,3456.0,0.0,8.0, United-States,<=50K -27, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -25, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -39, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -26, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Local-gov, Masters,14.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Prof-school,15.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,2559.0,60.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Japan,<=50K -21, State-gov, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,36.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1579.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Separated, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, Some-college,10.0, Separated, Sales, Other-relative, Black, Male,0.0,0.0,30.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,54.0, United-States,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -53, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,85.0, United-States,<=50K -27, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,78.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -62, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, 11th,7.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1485.0,58.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -59, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -58, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,36.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -70, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,12.0, United-States,<=50K -29, Self-emp-not-inc, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,2202.0,0.0,50.0, United-States,<=50K -46, Private, Masters,14.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -35, Federal-gov, Some-college,10.0, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,13550.0,0.0,44.0, United-States,>50K -42, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -26, Private, 10th,6.0, Never-married, Adm-clerical, Not-in-family, White, Female,2907.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -68, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2149.0,40.0, United-States,<=50K -42, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, India,<=50K -36, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -45, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -25, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -53, State-gov, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Local-gov, Assoc-acdm,12.0, Widowed, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Some-college,10.0, Divorced, Protective-serv, Unmarried, White, Male,0.0,0.0,48.0, Germany,<=50K -30, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,80.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3908.0,0.0,55.0, United-States,<=50K -59, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, Greece,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,55.0, United-States,>50K -49, State-gov, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Federal-gov, 10th,6.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,56.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,45.0, United-States,>50K -28, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -24, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -32, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Federal-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, White, Female,7298.0,0.0,36.0, United-States,>50K -51, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Never-married, Other-service, Not-in-family, Other, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -59, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -30, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, Portugal,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -38, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -26, Private, Preschool,1.0, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0.0,1719.0,40.0, Mexico,<=50K -30, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -73, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,10.0, Poland,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,58.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,60.0, United-States,<=50K -39, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,<=50K -29, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -29, Local-gov, HS-grad,9.0, Separated, Protective-serv, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Federal-gov, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -28, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,60.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -49, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Columbia,<=50K -25, Private, HS-grad,9.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, State-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,22.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -30, Local-gov, Assoc-voc,11.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, Some-college,10.0, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,26.0, India,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -32, State-gov, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Assoc-voc,11.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -50, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,48.0, United-States,<=50K -29, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,37.0, Puerto-Rico,<=50K -46, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,32.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -48, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -23, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -26, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -50, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, Nicaragua,<=50K -47, Private, Prof-school,15.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 12th,8.0, Never-married, Sales, Not-in-family, White, Male,4650.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -28, Self-emp-not-inc, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, 10th,6.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -33, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -34, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -48, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,1471.0,0.0,40.0, Cambodia,<=50K -24, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, France,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -40, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -33, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -51, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Female,4934.0,0.0,32.0, United-States,>50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Prof-school,15.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,>50K -40, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -33, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -45, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,38.0, Germany,<=50K -32, Private, 11th,7.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -44, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -41, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,3464.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -40, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,42.0, Cambodia,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Sales, Other-relative, Other, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,32.0, Cuba,<=50K -34, Private, 10th,6.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -48, State-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -45, Private, Bachelors,13.0, Separated, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -29, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -34, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -34, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -39, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -42, Self-emp-inc, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -48, Private, 11th,7.0, Separated, Other-service, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,1902.0,40.0, United-States,>50K -51, Private, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -44, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,90.0, United-States,<=50K -46, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -51, Private, Doctorate,16.0, Divorced, Craft-repair, Not-in-family, White, Female,4787.0,0.0,60.0, United-States,>50K -32, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Unmarried, Black, Female,0.0,0.0,26.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-AF-spouse, Craft-repair, Husband, White, Male,0.0,0.0,90.0, United-States,<=50K -64, Self-emp-not-inc, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, Poland,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -38, Federal-gov, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,42.0, United-States,>50K -55, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, Thailand,>50K -32, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Federal-gov, 11th,7.0, Never-married, Sales, Not-in-family, Black, Female,3674.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, 9th,5.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -48, Self-emp-not-inc, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 7th-8th,4.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -31, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,63.0, South,<=50K -50, Private, Bachelors,13.0, Divorced, Sales, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Germany,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,24.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -44, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,99.0, United-States,<=50K -54, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,20.0, China,<=50K -50, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -43, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Preschool,1.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, Mexico,<=50K -30, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,1485.0,40.0, United-States,<=50K -55, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, Assoc-voc,11.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,43.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,43.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Transport-moving, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -50, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -17, State-gov, 10th,6.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1902.0,18.0, United-States,>50K -32, Private, Some-college,10.0, Divorced, Handlers-cleaners, Unmarried, Black, Male,0.0,0.0,40.0, Nicaragua,<=50K -34, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -37, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,2415.0,65.0, United-States,>50K -32, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -45, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Male,0.0,0.0,42.0, United-States,<=50K -30, Private, 11th,7.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 12th,8.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,4.0, Peru,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -48, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,30.0, China,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178.0,0.0,45.0, United-States,>50K -34, Private, Assoc-voc,11.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Bachelors,13.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -35, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,75.0, Mexico,>50K -44, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386.0,0.0,60.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, Other, Male,0.0,0.0,40.0, India,>50K -53, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,60.0, United-States,>50K -27, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,65.0, United-States,<=50K -57, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -59, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -31, State-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,45.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1887.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,2105.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, 10th,6.0, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,84.0, United-States,<=50K -45, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Japan,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -35, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,32.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Local-gov, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Local-gov, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Private, Assoc-acdm,12.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, Scotland,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Local-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,14344.0,0.0,50.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -29, State-gov, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1564.0,38.0, United-States,>50K -63, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -79, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -29, Private, 12th,8.0, Never-married, Other-service, Not-in-family, Other, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, 7th-8th,4.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, 12th,8.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,24.0, United-States,<=50K -20, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Female,0.0,2205.0,18.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,24.0, United-States,>50K -37, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -21, Private, HS-grad,9.0, Separated, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, Assoc-voc,11.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Female,0.0,0.0,33.0, United-States,<=50K -40, Local-gov, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,1876.0,35.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,49.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Male,0.0,0.0,45.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,8.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Self-emp-inc, Bachelors,13.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -73, Private, 1st-4th,2.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1735.0,20.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,42.0, United-States,<=50K -37, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -66, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -65, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,2206.0,59.0, Canada,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, Black, Female,0.0,0.0,45.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,37.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,4386.0,0.0,50.0, United-States,>50K -29, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -35, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,4865.0,0.0,35.0, United-States,<=50K -37, State-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Self-emp-not-inc, 10th,6.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Japan,>50K -62, Private, 7th-8th,4.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -76, Self-emp-not-inc, Some-college,10.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,8.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, 10th,6.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -22, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,50.0, United-States,<=50K -43, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -44, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, State-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, Black, Female,7430.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -39, Private, HS-grad,9.0, Widowed, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -50, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,35.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,42.0, United-States,>50K -52, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -62, Local-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,1258.0,38.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -45, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -56, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -28, Private, HS-grad,9.0, Never-married, Farming-fishing, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -55, Local-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -48, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -56, Self-emp-not-inc, HS-grad,9.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -39, Self-emp-not-inc, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 5th-6th,3.0, Separated, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, Mexico,<=50K -36, Private, 11th,7.0, Never-married, Transport-moving, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,65.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2002.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -57, Private, 7th-8th,4.0, Widowed, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -73, Private, HS-grad,9.0, Widowed, Other-service, Other-relative, White, Female,0.0,0.0,12.0, United-States,<=50K -50, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, 10th,6.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, Mexico,<=50K -40, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, 9th,5.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,18.0, United-States,<=50K -36, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -69, Private, 1st-4th,2.0, Widowed, Priv-house-serv, Not-in-family, Black, Female,0.0,0.0,4.0, United-States,<=50K -69, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,1848.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -54, State-gov, HS-grad,9.0, Separated, Adm-clerical, Unmarried, Black, Female,3887.0,0.0,35.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Local-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3471.0,0.0,40.0, United-States,<=50K -17, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -53, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, 9th,5.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,38.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,2603.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,52.0, United-States,<=50K -50, State-gov, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -43, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,70.0, United-States,>50K -46, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, Puerto-Rico,<=50K -53, Private, Some-college,10.0, Separated, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,15.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -58, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -61, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -56, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -59, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -72, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -46, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -48, Private, HS-grad,9.0, Never-married, Prof-specialty, Unmarried, Black, Female,0.0,0.0,28.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -46, State-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,25.0, El-Salvador,<=50K -61, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -35, Private, 10th,6.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -39, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386.0,0.0,47.0, United-States,>50K -45, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -47, Self-emp-inc, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,>50K -64, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -39, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024.0,0.0,47.0, United-States,>50K -62, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -53, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,35.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1485.0,40.0, United-States,>50K -46, Private, Some-college,10.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, Mexico,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, 7th-8th,4.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -34, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,72.0, United-States,<=50K -85, Private, HS-grad,9.0, Widowed, Sales, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, State-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,3325.0,0.0,35.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -60, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -35, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,2977.0,0.0,45.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -45, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Local-gov, 12th,8.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Married-civ-spouse, Transport-moving, Wife, White, Female,0.0,1485.0,37.0, United-States,>50K -50, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,99.0, United-States,>50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,33.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,13550.0,0.0,50.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -69, Private, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, White, Male,0.0,2282.0,40.0, United-States,>50K -41, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -65, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1741.0,38.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,80.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Adm-clerical, Other-relative, Black, Male,0.0,0.0,38.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -45, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -20, Private, Bachelors,13.0, Never-married, Sales, Other-relative, Black, Female,0.0,0.0,30.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Tech-support, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Widowed, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,4101.0,0.0,50.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,65.0, United-States,<=50K -40, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,48.0, United-States,<=50K -34, State-gov, Masters,14.0, Never-married, Prof-specialty, Unmarried, Black, Female,0.0,0.0,24.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -19, Private, Assoc-voc,11.0, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0.0,0.0,16.0, United-States,<=50K -49, Private, 9th,5.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -82, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,2.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,37.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, HS-grad,9.0, Widowed, Handlers-cleaners, Other-relative, Black, Male,0.0,0.0,32.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -41, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, Other, Female,0.0,0.0,50.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Masters,14.0, Separated, Exec-managerial, Not-in-family, White, Male,99999.0,0.0,50.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -66, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -52, Private, HS-grad,9.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,323.0,40.0, United-States,<=50K -59, Self-emp-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -72, Private, HS-grad,9.0, Widowed, Priv-house-serv, Unmarried, White, Female,0.0,0.0,12.0, Cuba,<=50K -35, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-AF-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Separated, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -63, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, State-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 5th-6th,3.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,33.0, Mexico,<=50K -44, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -41, Local-gov, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1672.0,40.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -30, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,10.0, China,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -40, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Protective-serv, Unmarried, White, Male,0.0,0.0,44.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,37.0, United-States,<=50K -36, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, 12th,8.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, Poland,<=50K -27, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,>50K -38, Private, 1st-4th,2.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,22.0, United-States,<=50K -37, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -54, State-gov, Masters,14.0, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, China,<=50K -24, Self-emp-inc, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -48, Self-emp-not-inc, Bachelors,13.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -21, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,9.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -18, Private, 9th,5.0, Never-married, Sales, Own-child, Other, Female,0.0,0.0,32.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Separated, Machine-op-inspct, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, 10th,6.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,24.0, United-States,<=50K -79, Private, HS-grad,9.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0.0,0.0,6.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,3674.0,0.0,40.0, United-States,<=50K -64, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -70, Local-gov, Masters,14.0, Never-married, Prof-specialty, Unmarried, White, Female,7896.0,0.0,50.0, United-States,>50K -28, Local-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,1980.0,40.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Greece,<=50K -34, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,4865.0,0.0,55.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -77, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Cuba,>50K -42, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -35, State-gov, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,2635.0,0.0,16.0, United-States,<=50K -45, Private, Some-college,10.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -19, Private, Some-college,10.0, Married-spouse-absent, Sales, Own-child, White, Female,0.0,1602.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Self-emp-not-inc, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,80.0, Puerto-Rico,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Assoc-voc,11.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -43, Federal-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -69, Private, 11th,7.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Federal-gov, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -43, Federal-gov, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, Hungary,<=50K -28, Private, 7th-8th,4.0, Separated, Other-service, Own-child, White, Male,0.0,0.0,60.0, Mexico,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2885.0,0.0,40.0, United-States,<=50K -35, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,1590.0,48.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -44, Local-gov, Prof-school,15.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,25.0, United-States,<=50K -29, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,2174.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,8614.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -38, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,5721.0,0.0,44.0, United-States,<=50K -23, Private, Some-college,10.0, Separated, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, Mexico,<=50K -40, Private, Bachelors,13.0, Divorced, Craft-repair, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -40, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -38, Self-emp-not-inc, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Federal-gov, Assoc-acdm,12.0, Divorced, Protective-serv, Not-in-family, White, Male,2174.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -62, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Local-gov, 7th-8th,4.0, Widowed, Other-service, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -43, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Self-emp-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,4650.0,0.0,40.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, State-gov, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -32, Private, Prof-school,15.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -33, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,15.0, United-States,<=50K -33, Federal-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,65.0, United-States,>50K -50, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -32, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2002.0,42.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,2829.0,0.0,65.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,21.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, State-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -70, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,5.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,84.0, United-States,>50K -53, Private, Masters,14.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1485.0,50.0, United-States,>50K -23, Private, 11th,7.0, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,14344.0,0.0,40.0, Vietnam,>50K -32, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Germany,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -23, State-gov, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Assoc-voc,11.0, Never-married, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-spouse-absent, Priv-house-serv, Other-relative, Black, Female,0.0,0.0,60.0, Jamaica,<=50K -36, Local-gov, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,65.0, Poland,<=50K -44, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,99.0, United-States,<=50K -33, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Bachelors,13.0, Divorced, Other-service, Unmarried, Black, Male,0.0,0.0,45.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -60, Private, 10th,6.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -35, State-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,15.0, United-States,<=50K -43, Federal-gov, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,84.0, United-States,>50K -22, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,44.0, United-States,<=50K -33, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -61, Private, 10th,6.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,1602.0,20.0, United-States,<=50K -28, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Craft-repair, Own-child, White, Male,0.0,1590.0,35.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -58, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Private, Bachelors,13.0, Divorced, Craft-repair, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,36.0, Philippines,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,37.0, United-States,>50K -38, Self-emp-not-inc, Some-college,10.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Local-gov, Masters,14.0, Divorced, Exec-managerial, Unmarried, Black, Female,9562.0,0.0,40.0, United-States,>50K -40, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Local-gov, HS-grad,9.0, Never-married, Craft-repair, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Divorced, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -70, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,80.0, United-States,<=50K -32, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,25.0, United-States,<=50K -52, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Other, Male,99999.0,0.0,65.0, United-States,>50K -67, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,2414.0,0.0,80.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1672.0,45.0, United-States,<=50K -55, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -22, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -64, State-gov, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, Bachelors,13.0, Never-married, Exec-managerial, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Exec-managerial, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -47, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -26, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,27.0, United-States,<=50K -52, Self-emp-inc, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,4064.0,0.0,45.0, United-States,<=50K -48, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, Haiti,<=50K -23, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, State-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -53, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -25, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,2597.0,0.0,31.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Other, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2829.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, State-gov, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Male,0.0,2258.0,38.0, United-States,>50K -32, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,36.0, Puerto-Rico,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -41, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -50, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -37, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -22, Local-gov, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Federal-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -31, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -31, Private, 1st-4th,2.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -30, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -54, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,45.0, United-States,>50K -47, State-gov, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -34, Private, HS-grad,9.0, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, State-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -42, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -52, Federal-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -27, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,5455.0,0.0,40.0, United-States,<=50K -49, State-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -20, Private, Preschool,1.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -55, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -47, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,33.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Doctorate,16.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,80.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,48.0, United-States,>50K -48, Private, Assoc-acdm,12.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -56, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Female,4101.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -44, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,52.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,15024.0,0.0,99.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,1721.0,16.0, United-States,<=50K -60, Private, Assoc-acdm,12.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Assoc-voc,11.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -58, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,>50K -50, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -23, Local-gov, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -90, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051.0,0.0,72.0, United-States,>50K -49, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -47, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3137.0,0.0,40.0, United-States,<=50K -34, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, Taiwan,>50K -37, Federal-gov, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 10th,6.0, Married-civ-spouse, Protective-serv, Wife, Black, Female,0.0,0.0,50.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -34, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -39, Private, Some-college,10.0, Separated, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, State-gov, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,19.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -28, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -41, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2179.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,90.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386.0,0.0,50.0, United-States,>50K -35, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, Canada,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -69, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,6418.0,0.0,45.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,30.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -35, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -43, Private, 9th,5.0, Divorced, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -53, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,47.0, Cuba,<=50K -24, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0.0,0.0,30.0, United-States,<=50K -30, Private, Some-college,10.0, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,6.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -66, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, Canada,<=50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -40, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, 10th,6.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,41.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -30, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, Assoc-acdm,12.0, Married-spouse-absent, Farming-fishing, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, 11th,7.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688.0,0.0,35.0, United-States,>50K -36, Private, HS-grad,9.0, Separated, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -45, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,10520.0,0.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,11.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Self-emp-not-inc, 7th-8th,4.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,75.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -21, Private, 5th-6th,3.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, Mexico,<=50K -47, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -41, Private, 1st-4th,2.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -61, Self-emp-not-inc, 1st-4th,2.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -64, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Separated, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -23, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,70.0, United-States,<=50K -52, Private, 10th,6.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -43, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,<=50K -29, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,41.0, United-States,>50K -42, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, Taiwan,<=50K -65, Private, 10th,6.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1672.0,50.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -42, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,36.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -26, Private, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -55, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,35.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -21, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Other, Male,0.0,0.0,55.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -73, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -76, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,58.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -49, Private, Assoc-voc,11.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Other, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,58.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Private, 7th-8th,4.0, Widowed, Machine-op-inspct, Unmarried, Other, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -53, Private, Some-college,10.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,30.0, Vietnam,<=50K -30, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,55.0, United-States,>50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -44, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Local-gov, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -59, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -32, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,15024.0,0.0,50.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,48.0, United-States,>50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,50.0, United-States,>50K -61, Private, 9th,5.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,43.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -90, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,9386.0,0.0,15.0, United-States,>50K -30, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, 10th,6.0, Divorced, Craft-repair, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -63, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -60, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,>50K -49, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -47, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -42, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -53, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, Italy,<=50K -23, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,4101.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,35.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3908.0,0.0,40.0, United-States,<=50K -32, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -43, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,44.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0.0,0.0,20.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Separated, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, Jamaica,>50K -20, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,25.0, Mexico,<=50K -42, Private, 11th,7.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -58, Self-emp-not-inc, 1st-4th,2.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,2179.0,18.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Self-emp-inc, Doctorate,16.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -32, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -46, State-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1564.0,55.0, United-States,>50K -62, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Black, Male,7688.0,0.0,45.0, United-States,>50K -37, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Japan,>50K -41, Private, 1st-4th,2.0, Married-spouse-absent, Farming-fishing, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -56, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -34, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -27, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -30, State-gov, 10th,6.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,25.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,22.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,48.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Divorced, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, Mexico,<=50K -32, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,35.0, England,<=50K -27, Private, 12th,8.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -74, Private, Bachelors,13.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -22, Private, 9th,5.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, State-gov, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,80.0, United-States,<=50K -41, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -24, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -46, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,45.0, China,<=50K -51, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, Haiti,<=50K -34, State-gov, 12th,8.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Other, Male,7298.0,0.0,50.0, Puerto-Rico,>50K -53, Private, Some-college,10.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,60.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,48.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -20, Self-emp-not-inc, 10th,6.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -73, State-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -67, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -56, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,1590.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, 10th,6.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Local-gov, 10th,6.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, Germany,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -68, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,4386.0,0.0,45.0, United-States,>50K -27, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -23, Private, 10th,6.0, Never-married, Handlers-cleaners, Other-relative, Other, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Masters,14.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,94.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -68, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051.0,0.0,55.0, United-States,>50K -41, Private, 10th,6.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Self-emp-inc, HS-grad,9.0, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,30.0, India,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1485.0,40.0, United-States,>50K -40, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -51, Self-emp-not-inc, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,60.0, United-States,>50K -49, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -38, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -57, Private, 5th-6th,3.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, Cuba,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -66, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,26.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -70, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,2174.0,40.0, United-States,>50K -59, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,10520.0,0.0,40.0, United-States,>50K -37, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, El-Salvador,>50K -21, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,4101.0,0.0,40.0, United-States,<=50K -47, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,1721.0,30.0, United-States,<=50K -32, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,36.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -23, Private, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,3325.0,0.0,60.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -34, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -72, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,1455.0,0.0,6.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -51, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -32, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -27, Private, 11th,7.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,38.0, Nicaragua,<=50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -34, Local-gov, Masters,14.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -33, Private, 11th,7.0, Separated, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,30.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -42, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,4101.0,0.0,35.0, United-States,<=50K -44, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -39, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,39.0, United-States,<=50K -46, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -35, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -60, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,24.0, Poland,<=50K -33, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, China,<=50K -21, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -48, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,50.0, United-States,>50K -58, Private, 7th-8th,4.0, Widowed, Farming-fishing, Other-relative, White, Female,0.0,0.0,45.0, Guatemala,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -23, Federal-gov, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,15.0, Mexico,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -50, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -55, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, 11th,7.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Never-married, Tech-support, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,2002.0,40.0, England,<=50K -42, Private, HS-grad,9.0, Widowed, Sales, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,27828.0,0.0,35.0, United-States,>50K -46, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, 10th,6.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -39, Federal-gov, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 12th,8.0, Separated, Prof-specialty, Own-child, White, Female,1055.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,18.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,10520.0,0.0,50.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -38, Local-gov, Some-college,10.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,45.0, United-States,<=50K -19, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,16.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -52, Private, Bachelors,13.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,25.0, United-States,<=50K -41, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, Other, Male,0.0,1579.0,40.0, Nicaragua,<=50K -45, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Without-pay, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -26, State-gov, 11th,7.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, 10th,6.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -27, Private, HS-grad,9.0, Separated, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, Japan,<=50K -26, Federal-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -59, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, England,>50K -53, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,48.0, United-States,<=50K -35, Private, 11th,7.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -59, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,1602.0,10.0, United-States,<=50K -50, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Other, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,4386.0,0.0,40.0, United-States,>50K -42, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -38, Private, 7th-8th,4.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 10th,6.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -54, Private, 5th-6th,3.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,51.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -33, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -59, Private, 11th,7.0, Married-civ-spouse, Other-service, Wife, White, Female,3908.0,0.0,28.0, United-States,<=50K -54, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -48, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1672.0,55.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -35, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -64, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,8.0, United-States,<=50K -20, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -52, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,50.0, Greece,>50K -29, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -51, Private, Bachelors,13.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2377.0,60.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -52, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,60.0, United-States,<=50K -47, Private, 10th,6.0, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Masters,14.0, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,2829.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -35, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,3.0, El-Salvador,<=50K -49, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Self-emp-not-inc, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -31, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,12.0, United-States,<=50K -52, Private, Doctorate,16.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, 9th,5.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -22, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -38, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Ecuador,<=50K -27, State-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, Cuba,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,10.0, Thailand,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -34, Federal-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -49, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0.0,0.0,50.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,14.0, Cuba,>50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -51, State-gov, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Masters,14.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -69, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,44.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -36, Private, 12th,8.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -64, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,10566.0,0.0,35.0, United-States,<=50K -66, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,54.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,65.0, United-States,<=50K -23, Federal-gov, Assoc-acdm,12.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, Poland,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,46.0, Dominican-Republic,<=50K -31, Local-gov, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,19.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,4064.0,0.0,55.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2042.0,50.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,80.0, United-States,<=50K -50, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -38, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -36, State-gov, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -19, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -60, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, Philippines,<=50K -45, Local-gov, 9th,5.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,1602.0,16.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,1980.0,46.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,32.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -62, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3908.0,0.0,35.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -64, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-inc, Masters,14.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,1876.0,40.0, United-States,<=50K -58, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -39, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Private, HS-grad,9.0, Widowed, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,45.0, Thailand,<=50K -35, Private, Masters,14.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -28, Private, 5th-6th,3.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Protective-serv, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -45, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,10.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Never-married, Protective-serv, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -59, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -49, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -23, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -55, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,49.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,24.0, United-States,<=50K -40, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,37.0, United-States,>50K -32, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,8.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -84, Local-gov, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,33.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Craft-repair, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Transport-moving, Own-child, White, Male,0.0,1380.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, Germany,<=50K -62, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -47, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Local-gov, HS-grad,9.0, Divorced, Craft-repair, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,41.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -38, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,70.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -63, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -17, Local-gov, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -70, Self-emp-not-inc, HS-grad,9.0, Widowed, Other-service, Other-relative, White, Female,2329.0,0.0,20.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -61, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,25.0, United-States,>50K -29, Private, 10th,6.0, Separated, Farming-fishing, Unmarried, White, Female,0.0,0.0,40.0, Guatemala,<=50K -40, Local-gov, Some-college,10.0, Divorced, Transport-moving, Unmarried, White, Male,6849.0,0.0,40.0, United-States,<=50K -43, State-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,17.0, United-States,<=50K -48, Private, 11th,7.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,34.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -39, Local-gov, Masters,14.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -46, Self-emp-inc, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,2036.0,0.0,60.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -27, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,2001.0,40.0, United-States,<=50K -58, Private, Bachelors,13.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,42.0, Canada,>50K -40, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -40, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,48.0, China,<=50K -49, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, India,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,54.0, United-States,<=50K -27, State-gov, Some-college,10.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -52, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,30.0, United-States,<=50K -39, Local-gov, Some-college,10.0, Divorced, Prof-specialty, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Divorced, Craft-repair, Other-relative, Other, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -47, Federal-gov, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,66.0, South,<=50K -37, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Female,3887.0,0.0,40.0, Nicaragua,<=50K -41, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,48.0, Trinadad&Tobago,<=50K -46, Federal-gov, Assoc-voc,11.0, Separated, Tech-support, Not-in-family, Other, Female,0.0,0.0,30.0, United-States,<=50K -21, Self-emp-not-inc, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -44, Private, Masters,14.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -42, Local-gov, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,33.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, Black, Female,2174.0,0.0,50.0, United-States,<=50K -49, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -65, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -73, State-gov, 7th-8th,4.0, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -25, Private, 11th,7.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,32.0, United-States,<=50K -39, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,56.0, United-States,<=50K -24, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Masters,14.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,32.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,26.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,12.0, United-States,<=50K -43, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -62, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -53, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,>50K -45, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -47, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,33.0, United-States,<=50K -24, Private, HS-grad,9.0, Separated, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Local-gov, 5th-6th,3.0, Divorced, Other-service, Other-relative, Black, Female,0.0,0.0,40.0, Haiti,<=50K -27, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,4865.0,0.0,50.0, United-States,<=50K -63, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -50, Private, Some-college,10.0, Divorced, Other-service, Own-child, White, Male,0.0,0.0,28.0, United-States,<=50K -43, Local-gov, Masters,14.0, Never-married, Tech-support, Not-in-family, Black, Female,8614.0,0.0,47.0, United-States,>50K -29, Self-emp-inc, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,3942.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,13550.0,0.0,55.0, United-States,>50K -58, Self-emp-not-inc, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,39.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -55, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,29.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -60, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Male,3325.0,0.0,42.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,30.0, United-States,<=50K -24, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,20.0, United-States,<=50K -53, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, Black, Female,2202.0,0.0,40.0, United-States,<=50K -34, Local-gov, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Wife, White, Female,0.0,0.0,40.0, Mexico,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -31, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,2042.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2415.0,60.0, United-States,>50K -62, Private, Bachelors,13.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -51, Private, 7th-8th,4.0, Widowed, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -33, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -43, Private, 5th-6th,3.0, Married-spouse-absent, Farming-fishing, Unmarried, White, Male,0.0,0.0,35.0, Mexico,<=50K -62, Self-emp-not-inc, 7th-8th,4.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,66.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, Haiti,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386.0,0.0,45.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Local-gov, Some-college,10.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,8.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,65.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -57, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Husband, Other, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Male,0.0,0.0,35.0, United-States,<=50K -37, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Canada,>50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -35, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -52, Private, 12th,8.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,1831.0,0.0,40.0, Peru,<=50K -29, Private, HS-grad,9.0, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,38.0, El-Salvador,<=50K -23, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -31, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -37, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,8614.0,0.0,40.0, United-States,>50K -49, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,35.0, United-States,>50K -64, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -37, Local-gov, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -70, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2377.0,12.0, United-States,>50K -22, Private, 10th,6.0, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0.0,0.0,30.0, United-States,<=50K -29, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Germany,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, 11th,7.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -58, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -60, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -22, State-gov, 12th,8.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -56, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,5178.0,0.0,42.0, United-States,>50K -19, Private, Some-college,10.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,20.0, United-States,<=50K -52, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, State-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,8.0, United-States,<=50K -46, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -30, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688.0,0.0,45.0, United-States,>50K -62, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,1590.0,40.0, United-States,<=50K -49, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,85.0, United-States,>50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,5455.0,0.0,45.0, United-States,<=50K -49, State-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,53.0, United-States,<=50K -51, State-gov, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -62, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,38.0, United-States,>50K -49, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,4064.0,0.0,44.0, United-States,<=50K -69, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,8614.0,0.0,45.0, United-States,>50K -78, Private, Masters,14.0, Widowed, Craft-repair, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,<=50K -61, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,80.0, United-States,>50K -64, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, France,<=50K -32, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -42, State-gov, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,45.0, United-States,<=50K -51, Local-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,3325.0,0.0,60.0, United-States,<=50K -44, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,29.0, United-States,>50K -38, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,10520.0,0.0,50.0, United-States,>50K -44, Local-gov, Assoc-acdm,12.0, Divorced, Protective-serv, Not-in-family, White, Female,0.0,0.0,56.0, United-States,>50K -44, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -36, Private, 9th,5.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, 1st-4th,2.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, El-Salvador,<=50K -46, Private, Assoc-acdm,12.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,25.0, Germany,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -37, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,7688.0,0.0,35.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -44, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Exec-managerial, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -39, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,1092.0,40.0, Germany,<=50K -36, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -78, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,35.0, Dominican-Republic,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Some-college,10.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,21.0, Haiti,<=50K -49, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -58, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,4650.0,0.0,44.0, United-States,<=50K -25, Private, Some-college,10.0, Separated, Adm-clerical, Other-relative, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2885.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,35.0, Jamaica,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -45, State-gov, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, India,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -32, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -47, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -44, Private, Some-college,10.0, Separated, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,6.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -30, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -66, Private, HS-grad,9.0, Widowed, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,50.0, England,<=50K -59, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -28, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,99.0, Philippines,<=50K -44, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -25, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -52, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -37, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, Canada,>50K -17, Self-emp-inc, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,4.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,42.0, United-States,>50K -35, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -63, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -38, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,60.0, Iran,>50K -51, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -64, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, Columbia,>50K -50, Self-emp-inc, Some-college,10.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,56.0, United-States,<=50K -67, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,99.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -56, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,2885.0,0.0,40.0, China,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,40.0, Mexico,>50K -37, Private, Bachelors,13.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,27.0, United-States,<=50K -55, Private, 1st-4th,2.0, Divorced, Priv-house-serv, Unmarried, White, Female,0.0,0.0,30.0, Cuba,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, Mexico,<=50K -46, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -25, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Male,0.0,0.0,40.0, Mexico,<=50K -40, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,28.0, United-States,<=50K -23, Private, Some-college,10.0, Separated, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Some-college,10.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,30.0, United-States,<=50K -29, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,1485.0,60.0, United-States,>50K -59, Private, 10th,6.0, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -28, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, 5th-6th,3.0, Never-married, Priv-house-serv, Other-relative, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -63, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Masters,14.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -40, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -61, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, England,>50K -35, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,1408.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, Philippines,<=50K -48, Self-emp-not-inc, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, State-gov, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,1902.0,40.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -34, Private, Some-college,10.0, Separated, Machine-op-inspct, Not-in-family, Other, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -63, Federal-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,41.0, United-States,>50K -55, Self-emp-inc, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,50.0, United-States,>50K -31, Local-gov, Bachelors,13.0, Never-married, Protective-serv, Own-child, Black, Male,0.0,0.0,48.0, United-States,<=50K -27, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,14084.0,0.0,40.0, United-States,>50K -28, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -52, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,64.0, United-States,<=50K -31, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -53, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -43, Local-gov, HS-grad,9.0, Married-spouse-absent, Farming-fishing, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-inc, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,80.0, United-States,>50K -37, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 11th,7.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Bachelors,13.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, 12th,8.0, Married-civ-spouse, Other-service, Husband, White, Male,3942.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -76, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,1424.0,0.0,24.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, Some-college,10.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -29, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,24.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -64, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -35, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -53, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Sales, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,50.0, South,<=50K -31, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Self-emp-not-inc, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-inc, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,70.0, Cuba,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Black, Male,10520.0,0.0,45.0, United-States,>50K -44, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -51, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -69, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -20, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -31, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, India,>50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,60.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -63, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,40.0, Iran,>50K -48, Private, Bachelors,13.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,56.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, State-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,1831.0,0.0,40.0, United-States,<=50K -30, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,17.0, Taiwan,<=50K -67, Self-emp-not-inc, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -48, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -51, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -39, Private, Masters,14.0, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -40, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -28, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -41, Private, HS-grad,9.0, Widowed, Exec-managerial, Other-relative, White, Male,914.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -61, Private, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 7th-8th,4.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -43, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, Black, Female,9562.0,0.0,40.0, United-States,>50K -73, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3471.0,0.0,40.0, England,<=50K -46, Local-gov, Some-college,10.0, Divorced, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Sales, Own-child, White, Male,0.0,1876.0,40.0, United-States,<=50K -47, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Transport-moving, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Wife, Other, Female,0.0,0.0,48.0, Guatemala,<=50K -41, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -55, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Widowed, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -34, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,53.0, Mexico,<=50K -39, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Self-emp-inc, Masters,14.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,70.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -27, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Wife, Black, Female,0.0,0.0,48.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -68, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,48.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,19.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, 11th,7.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -49, Private, Bachelors,13.0, Never-married, Priv-house-serv, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -49, Private, Assoc-voc,11.0, Separated, Prof-specialty, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -45, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,37.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -33, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Male,14084.0,0.0,40.0, United-States,>50K -49, Private, Some-college,10.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -22, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, 9th,5.0, Widowed, Handlers-cleaners, Unmarried, White, Male,0.0,2231.0,40.0, United-States,>50K -33, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Cuba,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Private, 7th-8th,4.0, Married-spouse-absent, Prof-specialty, Other-relative, White, Male,0.0,0.0,35.0, Puerto-Rico,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,2176.0,0.0,25.0, United-States,<=50K -50, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Federal-gov, HS-grad,9.0, Separated, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Federal-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-inc, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,77.0, United-States,<=50K -61, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -43, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,85.0, United-States,>50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,2444.0,72.0, United-States,>50K -71, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,12.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Black, Female,0.0,0.0,30.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -62, Private, 7th-8th,4.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 12th,8.0, Separated, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,20.0, United-States,<=50K -58, Private, 9th,5.0, Divorced, Farming-fishing, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,36.0, United-States,>50K -29, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -50, Private, Bachelors,13.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Federal-gov, Assoc-voc,11.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,45.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -29, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,20.0, Taiwan,<=50K -22, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Other, Male,0.0,0.0,20.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,21.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -50, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Self-emp-inc, 9th,5.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, Germany,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, India,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3942.0,0.0,50.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Other-relative, White, Female,1055.0,0.0,30.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -43, State-gov, Doctorate,16.0, Married-spouse-absent, Prof-specialty, Unmarried, White, Male,25236.0,0.0,64.0, United-States,>50K -21, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -45, State-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,60.0, United-States,>50K -50, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,40.0, United-States,>50K -47, Private, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -80, Self-emp-not-inc, 7th-8th,4.0, Widowed, Farming-fishing, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, Iran,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -18, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Masters,14.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -38, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, 11th,7.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -51, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -52, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,20.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,50.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -59, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,20.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 10th,6.0, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -65, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,30.0, Mexico,<=50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3908.0,0.0,40.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -68, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -18, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,>50K -37, Private, 12th,8.0, Separated, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,70.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,9.0, United-States,<=50K -43, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -21, Self-emp-not-inc, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -48, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -56, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,14084.0,0.0,45.0, United-States,>50K -21, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -28, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Hong,>50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -38, Local-gov, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,36.0, United-States,>50K -51, Federal-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137.0,0.0,48.0, Ireland,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Self-emp-not-inc, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,72.0, Philippines,>50K -32, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,1590.0,40.0, United-States,<=50K -90, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, 12th,8.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -39, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,17.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,15024.0,0.0,60.0, South,>50K -31, Private, 9th,5.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -27, Private, Some-college,10.0, Divorced, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,20.0, Italy,<=50K -25, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,19.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,26.0, South,<=50K -27, Private, Assoc-voc,11.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, State-gov, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2246.0,45.0, United-States,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -54, Private, 9th,5.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-spouse-absent, Craft-repair, Unmarried, White, Female,0.0,0.0,55.0, Ireland,<=50K -21, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -52, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -59, Private, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,625.0,38.0, United-States,<=50K -31, Private, 12th,8.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -74, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, 10th,6.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-inc, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,85.0, United-States,<=50K -50, State-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Exec-managerial, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,1980.0,45.0, England,<=50K -52, Private, 1st-4th,2.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,56.0, Mexico,>50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,43.0, United-States,<=50K -56, Self-emp-inc, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -47, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,45.0, United-States,>50K -40, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0.0,1977.0,60.0, United-States,>50K -38, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -22, Private, HS-grad,9.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -30, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,35.0, Philippines,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,1590.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -33, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -63, Federal-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,18.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,5013.0,0.0,40.0, United-States,<=50K -51, Federal-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386.0,0.0,52.0, United-States,>50K -67, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Widowed, Craft-repair, Unmarried, White, Female,0.0,1594.0,26.0, United-States,<=50K -54, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -59, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,7.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,15024.0,0.0,40.0, United-States,>50K -37, Private, Some-college,10.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -51, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,2463.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -69, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Female,2964.0,0.0,6.0, Germany,<=50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,35.0, India,<=50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -45, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -59, Private, Preschool,1.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -48, Private, Some-college,10.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, Peru,<=50K -64, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, State-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -46, Private, Masters,14.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0.0,0.0,70.0, United-States,>50K -35, Federal-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -35, Private, HS-grad,9.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -35, State-gov, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, Masters,14.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-not-inc, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, White, Male,14084.0,0.0,63.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -37, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,36.0, United-States,>50K -24, Private, 9th,5.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, Mexico,<=50K -47, Local-gov, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -18, State-gov, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -62, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Black, Female,0.0,0.0,38.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -27, Private, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,14.0, Puerto-Rico,<=50K -33, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, 1st-4th,2.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, Mexico,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -31, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -44, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -73, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -44, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,50.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,26.0, United-States,<=50K -50, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2829.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Masters,14.0, Divorced, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, Peru,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -65, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,810.0,36.0, United-States,<=50K -42, State-gov, Some-college,10.0, Separated, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,25.0, United-States,>50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -42, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Some-college,10.0, Separated, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -27, Self-emp-not-inc, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, 9th,5.0, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -44, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,96.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, South,<=50K -46, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,49.0, United-States,>50K -38, Private, Some-college,10.0, Separated, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,41.0, United-States,>50K -26, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,4.0, Mexico,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -64, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,66.0, United-States,<=50K -25, Local-gov, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -60, State-gov, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,594.0,0.0,16.0, United-States,<=50K -46, Private, Bachelors,13.0, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -56, Private, 7th-8th,4.0, Never-married, Farming-fishing, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, 5th-6th,3.0, Separated, Sales, Unmarried, Black, Female,0.0,0.0,30.0, Puerto-Rico,<=50K -28, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Self-emp-not-inc, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -31, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, Puerto-Rico,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3908.0,0.0,46.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, Germany,>50K -51, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,48.0, United-States,>50K -29, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -28, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Italy,>50K -22, Self-emp-inc, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,52.0, United-States,<=50K -45, State-gov, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -24, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -23, Private, 12th,8.0, Never-married, Other-service, Unmarried, Black, Male,0.0,0.0,38.0, United-States,<=50K -20, Private, 5th-6th,3.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -17, Self-emp-not-inc, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -63, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Local-gov, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -51, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,3325.0,0.0,45.0, United-States,<=50K -64, Private, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,12.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -45, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,6497.0,0.0,35.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -31, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-not-inc, Bachelors,13.0, Married-spouse-absent, Sales, Own-child, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -65, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051.0,0.0,60.0, United-States,>50K -27, Private, Assoc-voc,11.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,8.0, Puerto-Rico,>50K -49, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,45.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,37.0, United-States,<=50K -31, Private, 9th,5.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, 11th,7.0, Married-civ-spouse, Protective-serv, Husband, White, Male,4386.0,0.0,37.0, United-States,>50K -50, State-gov, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Masters,14.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,99.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -51, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -31, Private, 7th-8th,4.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -56, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -31, Private, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1848.0,45.0, United-States,>50K -31, Private, Bachelors,13.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,24.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -24, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -74, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2149.0,20.0, United-States,<=50K -56, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,67.0, United-States,>50K -39, Federal-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,1741.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,2258.0,45.0, United-States,>50K -43, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, White, Female,2907.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,70.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688.0,0.0,20.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -46, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -36, Private, 5th-6th,3.0, Separated, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -36, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,57.0, United-States,<=50K -56, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -23, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -67, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -60, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -54, Private, HS-grad,9.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, England,>50K -47, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,3103.0,0.0,40.0, Philippines,>50K -49, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Private, HS-grad,9.0, Widowed, Sales, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -51, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -41, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,1980.0,56.0, United-States,<=50K -90, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,9386.0,0.0,50.0, Ecuador,>50K -36, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Prof-school,15.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -38, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -49, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,30.0, United-States,<=50K -77, Private, Some-college,10.0, Widowed, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -41, Private, Some-college,10.0, Separated, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 1st-4th,2.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,77.0, Mexico,<=50K -21, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 12th,8.0, Never-married, Farming-fishing, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,45.0, United-States,<=50K -23, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -38, Federal-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,2051.0,40.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0.0,0.0,50.0, United-States,>50K -47, Federal-gov, Bachelors,13.0, Never-married, Adm-clerical, Unmarried, Black, Male,0.0,0.0,40.0, United-States,>50K -39, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -70, Private, Bachelors,13.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,20.0, Puerto-Rico,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -66, Private, 9th,5.0, Separated, Other-service, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -57, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Self-emp-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -51, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -35, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,60.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,75.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Other-relative, White, Female,0.0,0.0,45.0, United-States,<=50K -35, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,1617.0,25.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,25.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -28, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -38, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -57, Federal-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,2258.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Local-gov, 11th,7.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -69, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,1424.0,0.0,6.0, United-States,<=50K -51, State-gov, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,2444.0,39.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -38, State-gov, Some-college,10.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -52, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, Poland,>50K -48, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1848.0,65.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Local-gov, Bachelors,13.0, Divorced, Protective-serv, Unmarried, White, Female,0.0,0.0,60.0, Germany,<=50K -33, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,35.0, Thailand,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -41, State-gov, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1485.0,45.0, United-States,>50K -36, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -62, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -50, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,14.0, United-States,<=50K -40, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -57, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -65, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1648.0,4.0, Greece,<=50K -52, Federal-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -59, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999.0,0.0,40.0, India,>50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,2176.0,0.0,25.0, United-States,<=50K -48, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Private, 5th-6th,3.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, State-gov, Assoc-acdm,12.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -44, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, Black, Male,0.0,0.0,50.0, United-States,<=50K -71, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3137.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-inc, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Male,2202.0,0.0,56.0, United-States,<=50K -25, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -53, Federal-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -36, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -25, State-gov, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Federal-gov, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, 12th,8.0, Separated, Transport-moving, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -18, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,2202.0,0.0,50.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -50, State-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, Some-college,10.0, Widowed, Tech-support, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -25, Private, 10th,6.0, Married-civ-spouse, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -20, Private, Some-college,10.0, Separated, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,25.0, El-Salvador,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,20.0, Philippines,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -49, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -55, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1977.0,20.0, United-States,>50K -61, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Female,0.0,0.0,82.0, United-States,<=50K -42, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -42, Federal-gov, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,20.0, India,>50K -55, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -56, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2002.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -43, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,50.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,37.0, United-States,<=50K -25, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,1602.0,40.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -63, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -37, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Other, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, Canada,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -46, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,72.0, United-States,>50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0.0,0.0,60.0, South,<=50K -49, Private, Some-college,10.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -54, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -55, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, 9th,5.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 10th,6.0, Never-married, Other-service, Other-relative, Black, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -76, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,33.0, United-States,<=50K -47, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,2174.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -24, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,50.0, United-States,>50K -67, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,10605.0,0.0,10.0, United-States,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, 12th,8.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Federal-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -21, State-gov, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -52, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Other-relative, Black, Female,594.0,0.0,20.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -21, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -65, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Male,11678.0,0.0,50.0, United-States,>50K -37, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,10520.0,0.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,5013.0,0.0,70.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Some-college,10.0, Separated, Sales, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,25.0, United-States,<=50K -25, Self-emp-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,28.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, 11th,7.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,2176.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -27, Private, 5th-6th,3.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,60.0, El-Salvador,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,15.0, United-States,<=50K -22, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,2.0, United-States,<=50K -51, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -27, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -20, State-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -35, Private, 7th-8th,4.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,80.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Divorced, Priv-house-serv, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -48, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -34, Private, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -23, Local-gov, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -43, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,58.0, United-States,>50K -34, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Local-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 11th,7.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,36.0, United-States,<=50K -42, Local-gov, HS-grad,9.0, Divorced, Protective-serv, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -53, Private, Some-college,10.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -59, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,2559.0,50.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,4416.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -48, State-gov, Some-college,10.0, Divorced, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,3103.0,0.0,50.0, United-States,>50K -20, Private, Some-college,10.0, Married-civ-spouse, Sales, Other-relative, White, Female,0.0,0.0,30.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -71, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -27, Private, 11th,7.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -30, State-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -39, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -74, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,37.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,80.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,55.0, United-States,<=50K -30, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -20, Private, 12th,8.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, Italy,<=50K -53, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,38.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -23, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,46.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -54, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,1980.0,35.0, United-States,<=50K -25, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -29, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,54.0, United-States,<=50K -53, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, State-gov, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,3674.0,0.0,50.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -72, Local-gov, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1258.0,40.0, United-States,<=50K -51, Private, 10th,6.0, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, 9th,5.0, Married-spouse-absent, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -46, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,41.0, United-States,<=50K -31, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,60.0, United-States,>50K -68, Local-gov, 10th,6.0, Separated, Other-service, Not-in-family, Black, Female,0.0,0.0,90.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,3.0, United-States,<=50K -56, Federal-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Protective-serv, Not-in-family, Black, Female,99999.0,0.0,40.0, United-States,>50K -52, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,70.0, United-States,>50K -52, Private, Bachelors,13.0, Widowed, Other-service, Not-in-family, White, Female,0.0,2824.0,20.0, United-States,>50K -51, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,55.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -58, Private, 1st-4th,2.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, Black, Female,0.0,0.0,45.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, Germany,<=50K -29, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, Black, Male,0.0,0.0,30.0, United-States,<=50K -48, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,25.0, United-States,>50K -35, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,7688.0,0.0,25.0, United-States,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,55.0, United-States,>50K -19, Self-emp-not-inc, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,30.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,99.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -60, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -30, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 7th-8th,4.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -33, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, Mexico,<=50K -65, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, Mexico,<=50K -25, Private, 10th,6.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,1564.0,50.0, United-States,>50K -31, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -28, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,6849.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -66, Federal-gov, Assoc-voc,11.0, Widowed, Other-service, Unmarried, Black, Female,3273.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,5013.0,0.0,45.0, United-States,<=50K -45, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -53, Private, 11th,7.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, Canada,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,40.0, Germany,>50K -43, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,3325.0,0.0,50.0, United-States,<=50K -52, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,57.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,4.0, United-States,<=50K -60, Federal-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -45, Private, Assoc-acdm,12.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -28, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -48, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, Mexico,<=50K -33, Private, 5th-6th,3.0, Married-spouse-absent, Transport-moving, Unmarried, Other, Male,0.0,0.0,20.0, El-Salvador,<=50K -43, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -36, Private, HS-grad,9.0, Separated, Transport-moving, Other-relative, White, Male,0.0,0.0,60.0, Mexico,<=50K -38, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Local-gov, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, 10th,6.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -39, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1485.0,40.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,974.0,40.0, United-States,<=50K -47, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Tech-support, Own-child, White, Female,0.0,1617.0,72.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,8.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -58, Local-gov, Masters,14.0, Widowed, Prof-specialty, Unmarried, White, Male,0.0,0.0,35.0, United-States,>50K -43, Self-emp-inc, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,55.0, United-States,<=50K -62, Private, 11th,7.0, Separated, Other-service, Not-in-family, Black, Female,0.0,0.0,21.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -27, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,38.0, United-States,>50K -49, Local-gov, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Prof-specialty, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,1887.0,48.0, United-States,>50K -29, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -58, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Self-emp-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Local-gov, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -47, Private, 11th,7.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,15.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,65.0, United-States,>50K -35, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, Germany,>50K -49, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, El-Salvador,<=50K -25, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1848.0,44.0, United-States,>50K -40, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, Germany,>50K -47, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -50, Private, 12th,8.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -30, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -67, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -35, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,45.0, United-States,>50K -20, Private, 11th,7.0, Never-married, Tech-support, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, Black, Male,4787.0,0.0,50.0, United-States,>50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -29, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, 5th-6th,3.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -37, Private, Bachelors,13.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,70.0, England,<=50K -41, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,1980.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -24, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,2105.0,0.0,50.0, United-States,<=50K -39, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,2258.0,42.0, United-States,>50K -48, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,1977.0,50.0, United-States,>50K -27, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Ecuador,<=50K -22, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -37, State-gov, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, Preschool,1.0, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,4508.0,0.0,40.0, Cambodia,<=50K -48, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,80.0, United-States,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -51, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,38.0, United-States,<=50K -28, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013.0,0.0,55.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -45, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -73, Private, Some-college,10.0, Widowed, Priv-house-serv, Unmarried, White, Female,0.0,0.0,10.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -37, Private, Some-college,10.0, Separated, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -29, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, 11th,7.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,3674.0,0.0,30.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -26, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -24, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -44, Private, 11th,7.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -57, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,42.0, United-States,>50K -45, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, Black, Female,0.0,0.0,60.0, United-States,>50K -20, Local-gov, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Separated, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -41, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, China,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,32.0, United-States,>50K -73, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, State-gov, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -37, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -62, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,20051.0,0.0,72.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -46, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -51, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,4787.0,0.0,24.0, United-States,>50K -54, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Doctorate,16.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,10.0, Canada,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,2001.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, Germany,<=50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Female,14084.0,0.0,35.0, United-States,>50K -66, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,2936.0,0.0,20.0, United-States,<=50K -29, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -70, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,10566.0,0.0,40.0, United-States,<=50K -74, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -27, Local-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,2231.0,40.0, United-States,>50K -58, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,1876.0,50.0, United-States,<=50K -66, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1825.0,10.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -30, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,49.0, United-States,<=50K -84, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -35, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -46, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -37, Private, 11th,7.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,48.0, United-States,>50K -27, Federal-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -29, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,44.0, Philippines,<=50K -34, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2051.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,48.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7298.0,0.0,40.0, India,>50K -46, Self-emp-not-inc, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,20.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,2001.0,30.0, United-States,<=50K -70, Private, Some-college,10.0, Divorced, Farming-fishing, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, 10th,6.0, Divorced, Transport-moving, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,213.0,40.0, Philippines,<=50K -59, Self-emp-not-inc, Some-college,10.0, Widowed, Farming-fishing, Not-in-family, White, Female,6849.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,72.0, Mexico,<=50K -24, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,30.0, Dominican-Republic,<=50K -23, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, Some-college,10.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -28, Private, Assoc-voc,11.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -51, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,4386.0,0.0,30.0, United-States,>50K -44, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,37.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0.0,0.0,35.0, United-States,<=50K -24, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, 1st-4th,2.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,50.0, Puerto-Rico,<=50K -43, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Self-emp-inc, 12th,8.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -43, Private, Assoc-acdm,12.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 7th-8th,4.0, Divorced, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,70.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,20.0, Haiti,<=50K -26, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -55, Local-gov, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,39.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -34, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,60.0, United-States,<=50K -50, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,9.0, United-States,<=50K -63, State-gov, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -66, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,30.0, Philippines,<=50K -60, Private, Assoc-voc,11.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -60, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -75, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,1735.0,40.0, United-States,<=50K -58, State-gov, Some-college,10.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -18, Self-emp-not-inc, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -65, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3818.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Federal-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,52.0, Canada,>50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, State-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, Black, Male,0.0,1590.0,40.0, Puerto-Rico,<=50K -32, Private, HS-grad,9.0, Divorced, Sales, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -42, State-gov, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Male,0.0,0.0,39.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,27828.0,0.0,40.0, United-States,>50K -21, Private, 11th,7.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -21, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,16.0, United-States,<=50K -45, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-inc, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,8614.0,0.0,50.0, Cuba,>50K -41, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, Bachelors,13.0, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -34, Private, Some-college,10.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -58, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -53, Private, Preschool,1.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -32, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1740.0,47.0, United-States,<=50K -44, Self-emp-inc, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Male,2202.0,0.0,45.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -37, State-gov, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,45.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, 10th,6.0, Never-married, Handlers-cleaners, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,72.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,48.0, United-States,>50K -44, Private, 7th-8th,4.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,38.0, Peru,<=50K -37, State-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -48, Private, 10th,6.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,1594.0,32.0, United-States,<=50K -24, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -56, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Prof-school,15.0, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0.0,1564.0,40.0, India,>50K -39, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,45.0, United-States,<=50K -38, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -23, Private, 9th,5.0, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0.0,0.0,20.0, Philippines,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Guatemala,<=50K -30, Self-emp-not-inc, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Local-gov, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,1504.0,19.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,7298.0,0.0,40.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,4650.0,0.0,37.0, United-States,<=50K -41, Self-emp-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,6.0, United-States,<=50K -22, Private, HS-grad,9.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,33.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -47, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,15.0, United-States,<=50K -39, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Federal-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -52, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -33, Private, 10th,6.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -38, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Female,1151.0,0.0,40.0, United-States,<=50K -39, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -47, Local-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -61, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,38.0, Jamaica,<=50K -29, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -26, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,18.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,30.0, United-States,<=50K -67, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -29, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,880.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,62.0, Mexico,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -47, Federal-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,1.0, United-States,<=50K -23, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,4508.0,0.0,25.0, United-States,<=50K -44, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -25, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -62, Federal-gov, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Guatemala,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -69, Private, 9th,5.0, Never-married, Craft-repair, Other-relative, White, Male,2993.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0.0,0.0,27.0, Taiwan,>50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,41.0, United-States,>50K -37, State-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -73, Local-gov, 5th-6th,3.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, Black, Female,0.0,0.0,65.0, United-States,<=50K -30, State-gov, HS-grad,9.0, Married-AF-spouse, Adm-clerical, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -43, Private, Prof-school,15.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,99999.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -54, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -27, State-gov, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,58.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,66.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,2057.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Federal-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -36, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, Cuba,<=50K -22, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,10.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1579.0,42.0, United-States,<=50K -76, Private, 7th-8th,4.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,97.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -73, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -74, Private, 10th,6.0, Widowed, Other-service, Not-in-family, Black, Female,0.0,0.0,6.0, United-States,<=50K -27, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -90, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -69, Private, Bachelors,13.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -44, Local-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,2829.0,0.0,40.0, United-States,<=50K -47, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,7688.0,0.0,40.0, United-States,>50K -33, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -39, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -43, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,2547.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Widowed, Priv-house-serv, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -27, Self-emp-inc, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -45, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -25, Private, Some-college,10.0, Married-spouse-absent, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, 10th,6.0, Widowed, Transport-moving, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -63, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,46.0, United-States,>50K -47, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -63, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -65, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Other-relative, Black, Female,0.0,0.0,25.0, Jamaica,<=50K -47, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,72.0, United-States,<=50K -30, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -39, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, 11th,7.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -32, Private, 11th,7.0, Never-married, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,34.0, United-States,<=50K -19, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -57, State-gov, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -41, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Assoc-voc,11.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Doctorate,16.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -43, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -64, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -56, Private, 5th-6th,3.0, Separated, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,65.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Priv-house-serv, Unmarried, White, Female,0.0,0.0,22.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -50, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -56, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,32.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Separated, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -53, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,14344.0,0.0,55.0, United-States,>50K -33, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,2377.0,20.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -45, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,32.0, United-States,<=50K -54, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,5013.0,0.0,40.0, Vietnam,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Separated, Craft-repair, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, 10th,6.0, Never-married, Farming-fishing, Own-child, Black, Male,0.0,0.0,60.0, United-States,<=50K -42, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -33, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -41, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Taiwan,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,60.0, United-States,>50K -26, Private, 5th-6th,3.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, Columbia,<=50K -36, Private, 11th,7.0, Separated, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178.0,0.0,52.0, United-States,>50K -38, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -41, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -36, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,48.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -59, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0.0,0.0,16.0, United-States,>50K -59, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -52, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -37, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -52, Private, Bachelors,13.0, Married-spouse-absent, Other-service, Other-relative, Black, Female,0.0,0.0,40.0, Haiti,<=50K -51, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -67, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -68, Private, 10th,6.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -71, Private, 9th,5.0, Divorced, Priv-house-serv, Not-in-family, Black, Female,0.0,0.0,6.0, United-States,<=50K -49, Local-gov, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 10th,6.0, Married-civ-spouse, Farming-fishing, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, 9th,5.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -22, Federal-gov, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -57, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,26.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, Cambodia,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, Other, Male,4064.0,0.0,40.0, Mexico,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,1974.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3411.0,0.0,40.0, El-Salvador,<=50K -42, Federal-gov, Bachelors,13.0, Divorced, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Federal-gov, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -69, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -45, Federal-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, State-gov, Masters,14.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, 11th,7.0, Widowed, Farming-fishing, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -29, Private, Prof-school,15.0, Divorced, Prof-specialty, Own-child, White, Female,2174.0,0.0,72.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,3325.0,0.0,50.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, Portugal,<=50K -49, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,1669.0,40.0, United-States,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, Columbia,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -41, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, State-gov, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Self-emp-inc, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, South,<=50K -49, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464.0,0.0,48.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, State-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,3887.0,0.0,40.0, United-States,<=50K -32, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -55, Private, 11th,7.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -40, Private, Some-college,10.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -67, Self-emp-inc, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,15831.0,0.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -62, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,2001.0,40.0, United-States,<=50K -45, State-gov, Some-college,10.0, Married-spouse-absent, Other-service, Other-relative, Black, Male,0.0,0.0,40.0, Haiti,<=50K -47, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -49, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -23, Private, 11th,7.0, Never-married, Farming-fishing, Other-relative, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,1902.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,36.0, United-States,<=50K -73, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -24, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,36.0, United-States,>50K -37, Federal-gov, Masters,14.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Machine-op-inspct, Own-child, Other, Male,0.0,0.0,12.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,1719.0,40.0, United-States,<=50K -30, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,1504.0,35.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Divorced, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Local-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -19, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -34, Local-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,7298.0,0.0,40.0, Philippines,>50K -45, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -69, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051.0,0.0,50.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -61, State-gov, 10th,6.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,38.0, United-States,<=50K -57, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -56, Private, HS-grad,9.0, Divorced, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -51, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Private, 11th,7.0, Never-married, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,43.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, Japan,>50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, Other, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,2174.0,0.0,60.0, Poland,<=50K -31, State-gov, 12th,8.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -55, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1579.0,40.0, United-States,<=50K -43, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,47.0, United-States,>50K -48, Local-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,34.0, United-States,<=50K -38, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,4386.0,0.0,35.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, Other, Male,0.0,0.0,40.0, Ecuador,<=50K -27, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,2.0, United-States,<=50K -31, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -32, Federal-gov, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,46.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -62, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1485.0,44.0, United-States,>50K -59, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -34, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,60.0, United-States,<=50K -41, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -42, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -24, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, Black, Male,0.0,0.0,72.0, United-States,<=50K -40, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -46, Private, 7th-8th,4.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,1092.0,40.0, United-States,<=50K -68, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,7.0, England,<=50K -33, Private, Bachelors,13.0, Separated, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,45.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -30, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -35, State-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -36, State-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Male,5455.0,0.0,30.0, United-States,<=50K -46, Self-emp-inc, 9th,5.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -49, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -26, Private, Masters,14.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,20.0, United-States,<=50K -50, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -59, State-gov, Doctorate,16.0, Divorced, Prof-specialty, Unmarried, White, Male,25236.0,0.0,45.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, Ireland,>50K -34, Private, HS-grad,9.0, Separated, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,99.0, United-States,<=50K -33, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-spouse-absent, Transport-moving, Not-in-family, Other, Male,0.0,0.0,84.0, India,<=50K -49, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -67, Self-emp-not-inc, 1st-4th,2.0, Widowed, Other-service, Not-in-family, Black, Female,0.0,0.0,20.0, United-States,<=50K -23, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -40, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Assoc-acdm,12.0, Separated, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -42, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, Canada,>50K -52, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -51, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Separated, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -45, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,48.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Male,5721.0,0.0,40.0, United-States,<=50K -49, State-gov, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,7443.0,0.0,35.0, United-States,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 1st-4th,2.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, Mexico,<=50K -63, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -43, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, 7th-8th,4.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Male,0.0,0.0,48.0, United-States,>50K -40, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Federal-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Federal-gov, Some-college,10.0, Divorced, Protective-serv, Own-child, White, Male,0.0,0.0,72.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,20.0, England,<=50K -58, Self-emp-inc, Some-college,10.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,>50K -43, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, Columbia,<=50K -41, Private, Some-college,10.0, Separated, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -47, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 12th,8.0, Divorced, Protective-serv, Own-child, White, Male,0.0,0.0,54.0, Mexico,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,3770.0,45.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,2036.0,0.0,30.0, United-States,<=50K -57, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -71, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -54, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,54.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -28, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -42, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,15.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -45, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,>50K -30, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,46.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-AF-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,60.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -55, Self-emp-inc, 10th,6.0, Widowed, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -26, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -32, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,40.0, Ireland,>50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -40, Self-emp-inc, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,51.0, United-States,<=50K -46, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -54, State-gov, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,3137.0,0.0,40.0, United-States,<=50K -50, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -60, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0.0,0.0,30.0, Hong,<=50K -43, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -27, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,1590.0,40.0, United-States,<=50K -44, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,70.0, United-States,>50K -52, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,22.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, 11th,7.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -51, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -46, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, 5th-6th,3.0, Widowed, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -76, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -25, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Assoc-voc,11.0, Widowed, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,8614.0,0.0,50.0, Italy,>50K -33, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,35.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,35.0, United-States,>50K -41, Local-gov, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, State-gov, Assoc-acdm,12.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Assoc-voc,11.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -35, Private, 1st-4th,2.0, Married-spouse-absent, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, Guatemala,<=50K -46, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Prof-school,15.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1672.0,50.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -90, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,2176.0,0.0,12.0, United-States,<=50K -40, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -37, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -48, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -20, State-gov, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, Ireland,<=50K -32, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -55, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Divorced, Protective-serv, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,35.0, United-States,>50K -45, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -65, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -67, Private, Some-college,10.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,41.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-spouse-absent, Tech-support, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -56, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, Cuba,>50K -31, State-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -33, Private, Some-college,10.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Germany,>50K -53, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -47, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -40, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -65, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,30.0, United-States,<=50K -23, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0.0,0.0,48.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Female,0.0,0.0,36.0, Mexico,<=50K -46, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -54, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,1408.0,38.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -70, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -55, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,1617.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Protective-serv, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -40, Local-gov, HS-grad,9.0, Married-spouse-absent, Farming-fishing, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,50.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -49, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -63, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -48, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -55, Private, HS-grad,9.0, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, Poland,<=50K -20, Private, HS-grad,9.0, Married-civ-spouse, Sales, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -27, Federal-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, 10th,6.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,33.0, United-States,<=50K -32, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,26.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Divorced, Adm-clerical, Other-relative, Black, Female,0.0,0.0,35.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -40, State-gov, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -66, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -39, State-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -65, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -49, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, Hong,<=50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0.0,0.0,55.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, Mexico,<=50K -38, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -33, State-gov, Some-college,10.0, Separated, Tech-support, Not-in-family, White, Male,0.0,0.0,12.0, United-States,<=50K -32, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, France,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -48, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Federal-gov, 7th-8th,4.0, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,37.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4064.0,0.0,38.0, United-States,<=50K -27, Local-gov, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, 1st-4th,2.0, Separated, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1579.0,48.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,46.0, United-States,>50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 10th,6.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -45, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Transport-moving, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 9th,5.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -72, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,6360.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -53, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -69, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,1848.0,0.0,12.0, United-States,<=50K -41, Local-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -55, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,35.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,5.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,1887.0,20.0, United-States,>50K -22, Private, 12th,8.0, Married-spouse-absent, Other-service, Unmarried, Black, Female,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103.0,0.0,43.0, United-States,>50K -37, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -53, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,1876.0,38.0, United-States,<=50K -28, Local-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -64, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -39, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,1564.0,12.0, United-States,>50K -53, Private, HS-grad,9.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Federal-gov, Some-college,10.0, Divorced, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, Italy,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -20, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -55, Local-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Other-relative, White, Female,0.0,2246.0,40.0, United-States,>50K -52, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,1848.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,1974.0,40.0, United-States,<=50K -22, Private, 10th,6.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,30.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -57, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -18, Local-gov, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,60.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Self-emp-not-inc, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178.0,0.0,60.0, United-States,>50K -60, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -25, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -27, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,65.0, United-States,>50K -65, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Separated, Sales, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -57, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,60.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,55.0, United-States,>50K -30, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -26, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, Mexico,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -50, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -53, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -45, Local-gov, Bachelors,13.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,2174.0,0.0,40.0, United-States,<=50K -50, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,50.0, United-States,>50K -33, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Local-gov, Masters,14.0, Married-civ-spouse, Protective-serv, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -57, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -21, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -22, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -42, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -36, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,47.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, State-gov, 9th,5.0, Separated, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -46, State-gov, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -46, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -76, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -75, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, Italy,<=50K -47, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -73, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -35, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Germany,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Nicaragua,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, Germany,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Poland,>50K -48, State-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -53, Private, 5th-6th,3.0, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0.0,0.0,10.0, Haiti,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,60.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,36.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Never-married, Farming-fishing, Not-in-family, White, Female,0.0,1602.0,30.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,25.0, United-States,>50K -55, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-spouse-absent, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -46, Local-gov, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -72, Private, 11th,7.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -24, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Other, Male,0.0,0.0,40.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,7688.0,0.0,40.0, Puerto-Rico,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, 7th-8th,4.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -52, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -68, Private, Prof-school,15.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,16.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1672.0,50.0, United-States,<=50K -53, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Own-child, White, Male,0.0,0.0,75.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, Black, Female,0.0,0.0,40.0, Trinadad&Tobago,<=50K -57, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -30, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,30.0, Japan,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -45, Private, Assoc-acdm,12.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -38, State-gov, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,2036.0,0.0,20.0, United-States,<=50K -59, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,85.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 7th-8th,4.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Sales, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,80.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,0.0,45.0, United-States,>50K -47, State-gov, Doctorate,16.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,50.0, France,>50K -20, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,30.0, Mexico,<=50K -22, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Widowed, Tech-support, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, 10th,6.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Federal-gov, HS-grad,9.0, Separated, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -34, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -52, Private, 9th,5.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, Puerto-Rico,<=50K -27, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -34, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,62.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Some-college,10.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -39, Federal-gov, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Self-emp-not-inc, 11th,7.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -37, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Guatemala,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, India,<=50K -27, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -69, Self-emp-inc, Bachelors,13.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -61, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,1651.0,40.0, United-States,<=50K -70, Private, 7th-8th,4.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -27, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,9562.0,0.0,50.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -44, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -36, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, Poland,<=50K -34, Federal-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,7298.0,0.0,54.0, United-States,>50K -28, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Farming-fishing, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, Masters,14.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,41.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -50, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,45.0, United-States,>50K -68, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -35, Private, 11th,7.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,17.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -71, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,28.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -36, Private, Some-college,10.0, Widowed, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1848.0,40.0, Nicaragua,>50K -27, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -42, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-spouse-absent, Sales, Not-in-family, White, Male,0.0,1719.0,40.0, United-States,<=50K -57, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,28.0, United-States,<=50K -31, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,60.0, Jamaica,<=50K -30, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,6849.0,0.0,40.0, England,<=50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -26, Self-emp-inc, HS-grad,9.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,20.0, Honduras,<=50K -32, Private, 1st-4th,2.0, Never-married, Farming-fishing, Not-in-family, Other, Male,0.0,0.0,50.0, Mexico,<=50K -55, Private, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -19, Private, 12th,8.0, Married-spouse-absent, Other-service, Own-child, Other, Female,0.0,0.0,20.0, United-States,<=50K -28, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -49, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -50, Self-emp-not-inc, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,4416.0,0.0,45.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,2001.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -35, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -20, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,2354.0,0.0,16.0, United-States,<=50K -56, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,5013.0,0.0,45.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -60, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -36, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,14084.0,0.0,40.0, United-States,>50K -44, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -27, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -57, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, State-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, State-gov, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,32.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, State-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,55.0, United-States,>50K -34, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Italy,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -28, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,5.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Columbia,<=50K -28, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Federal-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -42, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,23.0, United-States,<=50K -40, Local-gov, 9th,5.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, Yugoslavia,>50K -24, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 9th,5.0, Married-spouse-absent, Other-service, Other-relative, White, Male,0.0,0.0,35.0, Mexico,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1628.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3781.0,0.0,16.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Black, Male,8614.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0.0,0.0,80.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,5178.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -63, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -46, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,38.0, United-States,>50K -48, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -65, Private, Some-college,10.0, Widowed, Prof-specialty, Not-in-family, White, Female,1848.0,0.0,20.0, Hungary,<=50K -39, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,>50K -43, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,>50K -28, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,99999.0,0.0,35.0, United-States,>50K -24, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, Prof-school,15.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, Cuba,<=50K -39, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, HS-grad,9.0, Divorced, Protective-serv, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -30, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,65.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -53, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -52, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -64, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -53, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -20, Private, 11th,7.0, Separated, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1977.0,30.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -38, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -62, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -28, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,3908.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,34.0, United-States,<=50K -40, Private, HS-grad,9.0, Separated, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,30.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,1741.0,60.0, United-States,<=50K -42, Federal-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,1902.0,40.0, South,>50K -20, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -30, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,3908.0,0.0,40.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,50.0, United-States,>50K -51, Private, HS-grad,9.0, Divorced, Other-service, Other-relative, Black, Male,0.0,0.0,32.0, Haiti,<=50K -36, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -44, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,1590.0,40.0, United-States,<=50K -49, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,1755.0,45.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -33, Self-emp-not-inc, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -74, State-gov, Doctorate,16.0, Never-married, Prof-specialty, Other-relative, White, Female,0.0,3683.0,20.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013.0,0.0,45.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,65.0, United-States,>50K -56, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, 9th,5.0, Divorced, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Masters,14.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -39, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,3464.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, 10th,6.0, Widowed, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -44, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, 1st-4th,2.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,45.0, El-Salvador,<=50K -43, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -62, Private, 12th,8.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,48.0, Germany,<=50K -52, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,3103.0,0.0,30.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -63, Self-emp-inc, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,70.0, United-States,>50K -51, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,99.0, South,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, State-gov, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,37.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -70, Self-emp-inc, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -55, Private, 11th,7.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Federal-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,5455.0,0.0,60.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, 11th,7.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -44, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -49, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -28, Self-emp-inc, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Federal-gov, Some-college,10.0, Separated, Exec-managerial, Not-in-family, White, Male,8614.0,0.0,55.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -36, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -77, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0.0,0.0,30.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -22, Private, Some-college,10.0, Divorced, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,30.0, Philippines,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,25.0, United-States,<=50K -47, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -17, Private, 12th,8.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -48, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,50.0, Mexico,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Guatemala,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -42, State-gov, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -63, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -65, Private, HS-grad,9.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -41, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Divorced, Sales, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -51, State-gov, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -56, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,24.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,75.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Male,0.0,0.0,40.0, Columbia,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -69, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -41, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -40, Self-emp-not-inc, HS-grad,9.0, Separated, Exec-managerial, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, Black, Female,3325.0,0.0,50.0, United-States,<=50K -50, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Assoc-voc,11.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -63, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -47, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Self-emp-not-inc, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,14084.0,0.0,45.0, United-States,>50K -58, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,51.0, United-States,<=50K -67, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,48.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -25, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7298.0,0.0,40.0, Philippines,>50K -29, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,21.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,18.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -29, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,3103.0,0.0,50.0, United-States,>50K -50, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -30, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -64, Local-gov, HS-grad,9.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -29, Self-emp-inc, Assoc-acdm,12.0, Never-married, Prof-specialty, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -55, Private, HS-grad,9.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -28, Private, 12th,8.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -34, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688.0,0.0,38.0, United-States,>50K -43, Self-emp-not-inc, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,25.0, United-States,<=50K -21, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -65, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, England,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, State-gov, Masters,14.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -38, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,3464.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, Other, Female,0.0,0.0,20.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -44, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -38, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,2205.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, Germany,<=50K -24, Private, Some-college,10.0, Married-spouse-absent, Sales, Unmarried, Other, Female,0.0,0.0,30.0, Ecuador,<=50K -24, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -24, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,35.0, South,>50K -50, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4064.0,0.0,55.0, United-States,<=50K -68, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, 1st-4th,2.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Guatemala,<=50K -25, Private, HS-grad,9.0, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, Poland,<=50K -28, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Local-gov, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -24, State-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,99.0, England,<=50K -20, Private, 10th,6.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -45, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Married-spouse-absent, Craft-repair, Unmarried, White, Female,1506.0,0.0,45.0, United-States,<=50K -57, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,55.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, Asian-Pac-Islander, Male,0.0,0.0,24.0, India,<=50K -41, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Self-emp-inc, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Other-relative, Black, Female,0.0,0.0,12.0, United-States,<=50K -64, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -51, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,1762.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,>50K -47, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Widowed, Craft-repair, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,39.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Yugoslavia,<=50K -40, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -46, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female,3908.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,37.0, United-States,<=50K -26, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Divorced, Sales, Own-child, White, Female,594.0,0.0,35.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -53, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -54, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,41.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0.0,0.0,6.0, United-States,<=50K -37, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,38.0, United-States,>50K -40, Private, Assoc-voc,11.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, Some-college,10.0, Widowed, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -44, State-gov, 11th,7.0, Separated, Tech-support, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -69, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -17, Private, 12th,8.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,7.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 10th,6.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, 7th-8th,4.0, Married-spouse-absent, Priv-house-serv, Unmarried, White, Female,0.0,1594.0,24.0, Guatemala,<=50K -21, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, Mexico,>50K -29, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Japan,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -28, Private, HS-grad,9.0, Separated, Farming-fishing, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -57, Federal-gov, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3137.0,0.0,60.0, United-States,<=50K -60, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,3411.0,0.0,47.0, United-States,<=50K -44, Federal-gov, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -19, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -59, Private, Masters,14.0, Married-civ-spouse, Craft-repair, Wife, Asian-Pac-Islander, Female,0.0,0.0,35.0, Philippines,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Federal-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Federal-gov, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -32, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, Mexico,<=50K -32, Private, Assoc-voc,11.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -38, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -36, Private, Assoc-acdm,12.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Federal-gov, Bachelors,13.0, Widowed, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,41.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,14.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -56, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -61, State-gov, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -33, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,62.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -38, Private, Some-college,10.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -51, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -49, Local-gov, Masters,14.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,16.0, United-States,<=50K -26, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -37, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,1719.0,32.0, United-States,<=50K -38, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386.0,0.0,60.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, Ireland,<=50K -25, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,36.0, United-States,>50K -37, Private, 11th,7.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,24.0, United-States,<=50K -56, Self-emp-not-inc, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,99999.0,0.0,40.0, United-States,>50K -57, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -33, Private, 10th,6.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -41, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -45, Private, Bachelors,13.0, Widowed, Other-service, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,90.0, United-States,>50K -22, Private, 11th,7.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 10th,6.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Divorced, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,6849.0,0.0,65.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -60, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Local-gov, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,1977.0,50.0, United-States,>50K -65, Private, HS-grad,9.0, Divorced, Exec-managerial, Other-relative, White, Female,1848.0,0.0,50.0, United-States,<=50K -52, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,49.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -67, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Sales, Husband, White, Male,20051.0,0.0,40.0, United-States,>50K -64, Self-emp-not-inc, Some-college,10.0, Widowed, Craft-repair, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Federal-gov, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,52.0, United-States,<=50K -19, Private, 10th,6.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Separated, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,28.0, United-States,<=50K -51, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,63.0, United-States,<=50K -36, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,28.0, United-States,<=50K -37, Local-gov, Assoc-voc,11.0, Never-married, Protective-serv, Not-in-family, White, Male,4650.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -39, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -33, Private, HS-grad,9.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Divorced, Sales, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -23, State-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,3.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -90, Private, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,7298.0,0.0,42.0, United-States,>50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, Germany,>50K -49, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female,0.0,0.0,40.0, Columbia,<=50K -53, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -48, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Other-relative, White, Female,3137.0,0.0,40.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -19, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3781.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Widowed, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -64, State-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,80.0, United-States,>50K -28, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,52.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -50, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Self-emp-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -36, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,49.0, United-States,<=50K -51, Self-emp-inc, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -57, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -40, Local-gov, Prof-school,15.0, Separated, Prof-specialty, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, Peru,<=50K -32, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,1876.0,60.0, United-States,<=50K -49, State-gov, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,44.0, United-States,<=50K -34, Self-emp-not-inc, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, Guatemala,<=50K -52, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -43, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -56, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -32, Private, HS-grad,9.0, Married-AF-spouse, Other-service, Other-relative, White, Female,0.0,0.0,10.0, United-States,<=50K -60, Private, 12th,8.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -50, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,35.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -27, Private, 12th,8.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,25.0, United-States,<=50K -38, Private, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -24, State-gov, Masters,14.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,7.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,44.0, United-States,>50K -43, Private, 9th,5.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,3137.0,0.0,35.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -63, Private, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -21, Private, Bachelors,13.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -20, State-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,7298.0,0.0,40.0, United-States,>50K -47, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -61, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1651.0,40.0, United-States,<=50K -35, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -28, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,55.0, Ecuador,<=50K -53, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,57.0, United-States,<=50K -25, Private, 1st-4th,2.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, Guatemala,<=50K -44, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,28.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -51, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -41, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Other-service, Unmarried, Other, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -77, Private, 7th-8th,4.0, Widowed, Priv-house-serv, Unmarried, White, Female,0.0,0.0,23.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -64, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Local-gov, HS-grad,9.0, Never-married, Prof-specialty, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -67, Local-gov, Masters,14.0, Never-married, Exec-managerial, Other-relative, White, Female,15831.0,0.0,72.0, United-States,>50K -37, Local-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Self-emp-not-inc, Doctorate,16.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,64.0, United-States,<=50K -60, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -46, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Sales, Other-relative, White, Female,0.0,0.0,44.0, Poland,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, El-Salvador,>50K -36, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,2907.0,0.0,40.0, Nicaragua,<=50K -48, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -27, Private, 5th-6th,3.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,20.0, Vietnam,<=50K -43, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,25.0, United-States,<=50K -66, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5556.0,0.0,40.0, Yugoslavia,>50K -37, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Other-service, Wife, White, Female,2635.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -49, Private, 10th,6.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,38.0, Peru,<=50K -51, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -71, Federal-gov, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Male,0.0,0.0,9.0, United-States,<=50K -50, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1902.0,40.0, United-States,>50K -63, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, State-gov, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -24, State-gov, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -33, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -28, Self-emp-not-inc, 12th,8.0, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,56.0, Mexico,<=50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -37, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,26.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,41.0, United-States,<=50K -49, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -48, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -34, Private, 11th,7.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,43.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,30.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Male,4650.0,0.0,20.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Transport-moving, Not-in-family, White, Male,4865.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, Jamaica,<=50K -34, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,2407.0,0.0,40.0, United-States,<=50K -53, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,70.0, United-States,>50K -34, Private, 11th,7.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -54, Self-emp-not-inc, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -32, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Germany,<=50K -29, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -39, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,594.0,0.0,20.0, Mexico,<=50K -31, Private, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,58.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -32, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1902.0,32.0, United-States,>50K -45, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,27.0, United-States,<=50K -66, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -46, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -35, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -30, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,60.0, United-States,>50K -54, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -78, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2392.0,40.0, United-States,>50K -77, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -37, Private, Bachelors,13.0, Separated, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -22, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -54, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -36, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-not-inc, HS-grad,9.0, Widowed, Adm-clerical, Other-relative, White, Female,0.0,0.0,30.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Self-emp-not-inc, Some-college,10.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -28, Private, 5th-6th,3.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Columbia,<=50K -46, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,25.0, Canada,<=50K -69, Private, 10th,6.0, Separated, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,28.0, Peru,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -53, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,21.0, Japan,>50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -40, Federal-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,1721.0,55.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, Black, Male,0.0,1887.0,40.0, Trinadad&Tobago,>50K -23, Private, 10th,6.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,60.0, Mexico,<=50K -25, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,38.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Prof-specialty, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 12th,8.0, Never-married, Priv-house-serv, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,45.0, Japan,<=50K -28, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -68, Private, Preschool,1.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -33, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -29, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Private, 9th,5.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Widowed, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -33, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -66, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,4.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -40, Local-gov, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,35.0, Mexico,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -33, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,60.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -33, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,36.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,21.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -65, Self-emp-not-inc, Some-college,10.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -53, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Not-in-family, White, Male,6849.0,0.0,40.0, United-States,<=50K -18, Private, 5th-6th,3.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,54.0, Mexico,<=50K -34, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, Guatemala,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -59, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -32, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,13550.0,0.0,60.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -81, Private, 1st-4th,2.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,15.0, Poland,<=50K -47, Private, HS-grad,9.0, Separated, Other-service, Other-relative, Black, Female,0.0,0.0,35.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,30.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -37, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -55, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Poland,>50K -60, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -36, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, Other, Female,0.0,0.0,40.0, Mexico,<=50K -37, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,25.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 10th,6.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -35, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Other, Female,0.0,0.0,38.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -49, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-inc, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,2339.0,50.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -64, Private, 1st-4th,2.0, Divorced, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,12.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Federal-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -47, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,86.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,1974.0,40.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -61, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Canada,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, 12th,8.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,46.0, United-States,>50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,23.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -49, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -71, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -38, Private, Some-college,10.0, Married-spouse-absent, Prof-specialty, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -24, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,55.0, United-States,>50K -52, Private, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Federal-gov, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, England,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,653.0,50.0, United-States,>50K -37, Local-gov, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -54, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -32, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -29, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103.0,0.0,50.0, United-States,>50K -54, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -42, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -31, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -24, Self-emp-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,34.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1740.0,50.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1887.0,40.0, United-States,>50K -57, State-gov, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Male,2174.0,0.0,37.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Germany,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,4508.0,0.0,24.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -46, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,99999.0,0.0,50.0, India,>50K -36, Local-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -38, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -75, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, 12th,8.0, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,35.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -31, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Columbia,<=50K -47, Self-emp-not-inc, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -47, Private, 9th,5.0, Divorced, Other-service, Not-in-family, White, Female,0.0,1719.0,30.0, United-States,<=50K -42, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Some-college,10.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,75.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -41, Private, Prof-school,15.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,46.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,38.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -36, Local-gov, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -40, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,2176.0,0.0,20.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, State-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,1669.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,55.0, United-States,>50K -26, Private, 7th-8th,4.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, Guatemala,<=50K -66, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -48, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,32.0, Dominican-Republic,<=50K -35, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -45, Private, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -65, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -23, Private, 11th,7.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -33, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -32, Private, Masters,14.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,2824.0,55.0, United-States,>50K -44, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -75, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -55, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, United-States,>50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,16.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -26, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Never-married, Craft-repair, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Federal-gov, Some-college,10.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -65, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,2463.0,0.0,50.0, France,<=50K -58, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -59, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Masters,14.0, Divorced, Sales, Not-in-family, White, Male,27828.0,0.0,60.0, United-States,>50K -30, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,1564.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, State-gov, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -62, Local-gov, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,18.0, United-States,<=50K -22, State-gov, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -21, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,2258.0,40.0, United-States,>50K -20, Federal-gov, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -27, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -40, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1977.0,52.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -64, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -39, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Assoc-voc,11.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1887.0,65.0, United-States,>50K -17, Self-emp-not-inc, 10th,6.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -33, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 10th,6.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, 7th-8th,4.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,32.0, United-States,<=50K -74, Private, 1st-4th,2.0, Widowed, Priv-house-serv, Not-in-family, Black, Female,0.0,0.0,15.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -31, Private, Some-college,10.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,20.0, United-States,<=50K -54, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,2407.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -49, Private, HS-grad,9.0, Widowed, Craft-repair, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, South,<=50K -40, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,3103.0,0.0,40.0, India,>50K -38, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -43, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -57, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,99.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -40, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -35, Self-emp-not-inc, HS-grad,9.0, Divorced, Farming-fishing, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,34.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -64, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -40, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,3325.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, State-gov, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -55, Private, Some-college,10.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Other, Male,0.0,0.0,60.0, United-States,<=50K -25, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Female,4650.0,0.0,40.0, United-States,<=50K -58, State-gov, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, Some-college,10.0, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0.0,0.0,45.0, South,<=50K -49, State-gov, Doctorate,16.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, El-Salvador,>50K -29, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -57, Self-emp-not-inc, 1st-4th,2.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, Mexico,<=50K -24, Private, 9th,5.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -32, Private, 9th,5.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,23.0, Mexico,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -39, Private, 11th,7.0, Divorced, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,12.0, Poland,<=50K -37, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -49, Private, 10th,6.0, Separated, Exec-managerial, Not-in-family, Black, Male,4416.0,0.0,99.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Never-married, Other-service, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,1602.0,10.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2829.0,0.0,60.0, United-States,<=50K -71, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -41, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -47, Private, HS-grad,9.0, Married-spouse-absent, Sales, Unmarried, White, Female,0.0,0.0,20.0, Cuba,<=50K -30, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -44, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -31, State-gov, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -45, Private, 12th,8.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,2407.0,0.0,50.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -78, Self-emp-inc, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -31, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -46, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, Canada,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, United-States,>50K -34, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -30, Federal-gov, HS-grad,9.0, Separated, Adm-clerical, Other-relative, Black, Male,0.0,0.0,35.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,17.0, United-States,>50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,70.0, Jamaica,<=50K -40, Private, HS-grad,9.0, Divorced, Craft-repair, Other-relative, White, Female,0.0,0.0,40.0, Vietnam,<=50K -20, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,42.0, United-States,>50K -51, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -30, Local-gov, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,26.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, 9th,5.0, Separated, Farming-fishing, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, HS-grad,9.0, Widowed, Transport-moving, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2415.0,65.0, United-States,>50K -43, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -62, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,70.0, United-States,<=50K -58, Local-gov, 1st-4th,2.0, Widowed, Handlers-cleaners, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,70.0, Philippines,<=50K -22, State-gov, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -64, State-gov, 9th,5.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,6.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -70, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -27, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, 1st-4th,2.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,6849.0,0.0,38.0, United-States,<=50K -39, Federal-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -38, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,52.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Self-emp-not-inc, 5th-6th,3.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,3.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -82, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Cuba,<=50K -33, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-spouse-absent, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, Peru,<=50K -31, Private, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -59, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, Other, Female,0.0,0.0,33.0, United-States,<=50K -34, Private, 11th,7.0, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -57, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,75.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,7298.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -29, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -24, Local-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -36, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,72.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -46, Private, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -39, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -28, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -48, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,7298.0,0.0,38.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Federal-gov, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -63, Self-emp-not-inc, 7th-8th,4.0, Widowed, Farming-fishing, Unmarried, White, Female,0.0,0.0,10.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,8.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -43, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,1762.0,35.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, England,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,4064.0,0.0,40.0, United-States,<=50K -24, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,2444.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -31, Private, 1st-4th,2.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,25.0, El-Salvador,<=50K -18, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1579.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -72, Private, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -61, Private, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3908.0,0.0,40.0, United-States,<=50K -30, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -64, Local-gov, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -38, Private, Bachelors,13.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -39, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, Some-college,10.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -57, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Assoc-acdm,12.0, Divorced, Machine-op-inspct, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -59, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2002.0,50.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Widowed, Other-service, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,1628.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -59, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,56.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -39, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, 10th,6.0, Divorced, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,58.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,12.0, United-States,>50K -56, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,5.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,43.0, United-States,>50K -23, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Separated, Craft-repair, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, 10th,6.0, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -32, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 7th-8th,4.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Male,4787.0,0.0,39.0, United-States,>50K -30, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -27, Private, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -23, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -24, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,35.0, United-States,>50K -33, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -22, State-gov, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,1902.0,50.0, United-States,>50K -44, Federal-gov, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, Mexico,<=50K -45, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 11th,7.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,37.0, Dominican-Republic,<=50K -45, Private, 5th-6th,3.0, Divorced, Priv-house-serv, Unmarried, White, Female,0.0,0.0,35.0, Mexico,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1672.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -58, Self-emp-not-inc, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -37, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,99.0, France,>50K -37, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,>50K -49, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -44, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -72, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -63, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,12.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -58, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,45.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -44, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Germany,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -57, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -33, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -42, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Nicaragua,<=50K -72, Federal-gov, 11th,7.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,8.0, Canada,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,25.0, Philippines,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -64, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,24.0, United-States,>50K -19, Private, 11th,7.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -48, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1848.0,48.0, United-States,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,35.0, United-States,>50K -42, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,50.0, Canada,>50K -34, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -50, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -47, Local-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -52, Private, 11th,7.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -73, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -50, Private, 7th-8th,4.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -66, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,24.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -69, Local-gov, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -70, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -54, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Japan,<=50K -38, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -33, Private, 7th-8th,4.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,26.0, United-States,<=50K -60, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -81, Self-emp-not-inc, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,1668.0,3.0, Hungary,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Self-emp-not-inc, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -30, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,84.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, 7th-8th,4.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -36, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,36.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,22.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,1669.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,56.0, United-States,>50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -38, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -65, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, 11th,7.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,43.0, United-States,<=50K -49, Private, 12th,8.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,15.0, United-States,>50K -48, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, 5th-6th,3.0, Never-married, Priv-house-serv, Unmarried, White, Female,0.0,0.0,12.0, Mexico,<=50K -77, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,25.0, Cuba,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -41, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,55.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, Iran,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,10605.0,0.0,40.0, United-States,>50K -49, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -24, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -22, Private, 11th,7.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -39, Private, 11th,7.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,30.0, Puerto-Rico,<=50K -61, Local-gov, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -45, Private, Assoc-acdm,12.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2415.0,45.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -52, Local-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Divorced, Protective-serv, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,>50K -44, Private, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,13.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -40, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,2.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -76, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Male,0.0,0.0,17.0, United-States,<=50K -20, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1590.0,50.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -48, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,99999.0,0.0,50.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -42, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688.0,0.0,42.0, United-States,>50K -28, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -42, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -60, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,3103.0,0.0,40.0, United-States,>50K -21, Private, Assoc-voc,11.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -45, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,4687.0,0.0,35.0, United-States,>50K -38, Private, Some-college,10.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -40, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -17, Private, 12th,8.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,28.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386.0,0.0,13.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, Haiti,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -25, State-gov, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, Puerto-Rico,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -48, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,6.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -42, Local-gov, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-inc, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,22.0, United-States,<=50K -50, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -57, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, Puerto-Rico,<=50K -71, Private, HS-grad,9.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Bachelors,13.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,45.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -33, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, State-gov, 11th,7.0, Divorced, Transport-moving, Unmarried, White, Female,0.0,0.0,52.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,2829.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,36.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -28, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, Other, Male,0.0,0.0,30.0, Cuba,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,58.0, United-States,<=50K -57, Private, HS-grad,9.0, Widowed, Other-service, Other-relative, White, Female,0.0,1719.0,25.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,10.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, Some-college,10.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,28.0, Columbia,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,30.0, China,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -51, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -64, Federal-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,8.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,2174.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Wife, Black, Female,0.0,0.0,38.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -54, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,14084.0,0.0,40.0, United-States,>50K -31, Private, 1st-4th,2.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,37.0, Mexico,<=50K -22, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, 5th-6th,3.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,12.0, Italy,<=50K -59, Federal-gov, 10th,6.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2829.0,0.0,45.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -17, State-gov, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,55.0, United-States,>50K -59, Private, 5th-6th,3.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,37.0, United-States,<=50K -74, Self-emp-not-inc, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -80, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -37, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Federal-gov, Some-college,10.0, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,32.0, Columbia,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -41, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,65.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,14084.0,0.0,50.0, United-States,>50K -53, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, State-gov, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,13.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 12th,8.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, Canada,<=50K -36, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, Peru,<=50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Other-service, Own-child, White, Male,2174.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,43.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-AF-spouse, Craft-repair, Wife, Black, Female,0.0,0.0,42.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -52, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -57, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Iran,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, China,>50K -32, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,48.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -69, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,33.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, Germany,>50K -36, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,2463.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -63, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -17, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,35.0, Mexico,<=50K -56, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -90, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,20.0, Philippines,<=50K -27, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -42, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, State-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -66, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,20051.0,0.0,40.0, United-States,>50K -66, Local-gov, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Female,3273.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, Black, Male,0.0,0.0,45.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Federal-gov, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,20.0, United-States,<=50K -37, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,1151.0,0.0,35.0, United-States,<=50K -52, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,32.0, United-States,>50K -27, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,46.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,4101.0,0.0,40.0, United-States,<=50K -37, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -69, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -50, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -54, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,46.0, England,>50K -17, Private, 9th,5.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Male,14084.0,0.0,35.0, China,>50K -23, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -61, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Male,1151.0,0.0,30.0, United-States,<=50K -49, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -56, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Federal-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -62, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,25.0, United-States,>50K -34, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Hong,<=50K -22, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -34, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2415.0,55.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,5013.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, 7th-8th,4.0, Divorced, Sales, Other-relative, White, Male,0.0,0.0,20.0, Mexico,<=50K -42, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,2339.0,35.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,14344.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,1602.0,12.0, United-States,<=50K -57, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -62, Local-gov, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, Canada,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -39, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -46, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -72, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Federal-gov, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, Canada,<=50K -34, Private, HS-grad,9.0, Separated, Transport-moving, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -54, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, Doctorate,16.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -69, Private, 5th-6th,3.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,1797.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -48, Private, 12th,8.0, Widowed, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -39, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -21, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,18.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,0.0,42.0, Germany,<=50K -34, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -46, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Guatemala,<=50K -47, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -65, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 11th,7.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -40, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0.0,0.0,38.0, China,>50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,7.0, United-States,<=50K -29, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -42, Federal-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -43, Private, 9th,5.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -43, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Self-emp-inc, 10th,6.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -54, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -45, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Local-gov, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -65, Federal-gov, 10th,6.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,37.0, United-States,<=50K -53, Federal-gov, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,58.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1848.0,50.0, United-States,>50K -56, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, 9th,5.0, Separated, Handlers-cleaners, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, United-States,>50K -59, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Prof-school,15.0, Never-married, Exec-managerial, Not-in-family, White, Male,27828.0,0.0,50.0, United-States,>50K -26, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -22, Private, 10th,6.0, Never-married, Sales, Not-in-family, White, Female,0.0,1762.0,25.0, United-States,<=50K -25, Private, Masters,14.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 9th,5.0, Never-married, Handlers-cleaners, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,45.0, United-States,>50K -48, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Federal-gov, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,3908.0,0.0,70.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -75, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Other-relative, Black, Female,0.0,0.0,16.0, United-States,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,70.0, United-States,>50K -64, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,20.0, United-States,<=50K -73, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -43, Federal-gov, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Separated, Sales, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -64, Self-emp-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178.0,0.0,38.0, United-States,>50K -46, Local-gov, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,65.0, United-States,>50K -41, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Federal-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, White, Female,0.0,0.0,60.0, United-States,>50K -44, Private, Bachelors,13.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Cuba,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,34.0, United-States,<=50K -29, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Poland,>50K -27, Private, Bachelors,13.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -35, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,62.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -42, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,35.0, United-States,>50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -49, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -25, Federal-gov, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,27.0, United-States,<=50K -54, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -39, Self-emp-inc, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -75, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,26.0, United-States,<=50K -28, Self-emp-not-inc, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, Black, Male,0.0,0.0,30.0, United-States,<=50K -50, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -62, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -24, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,30.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,42.0, United-States,>50K -48, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Priv-house-serv, Unmarried, Other, Female,0.0,0.0,40.0, Guatemala,<=50K -43, Local-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,10520.0,0.0,50.0, United-States,>50K -42, Local-gov, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, Japan,>50K -52, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -56, Self-emp-not-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -48, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -37, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,70.0, South,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, 11th,7.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,45.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1902.0,42.0, United-States,>50K -36, Local-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,1504.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,9.0, England,<=50K -68, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Italy,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,23.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Columbia,<=50K -51, State-gov, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -67, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -42, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,37.0, United-States,<=50K -67, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -41, State-gov, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -51, Private, 12th,8.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -39, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -21, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, Columbia,<=50K -43, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,14344.0,0.0,40.0, United-States,>50K -28, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, 9th,5.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,43.0, United-States,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,45.0, United-States,<=50K -34, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, England,<=50K -43, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -40, Self-emp-inc, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -25, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Self-emp-not-inc, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -49, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -36, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,47.0, United-States,<=50K -32, Private, Some-college,10.0, Separated, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, Mexico,<=50K -22, Private, 9th,5.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, Guatemala,<=50K -41, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1740.0,48.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,17.0, United-States,<=50K -45, Local-gov, Masters,14.0, Divorced, Prof-specialty, Own-child, White, Female,0.0,0.0,55.0, United-States,<=50K -38, Local-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Local-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,30.0, United-States,<=50K -45, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -31, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -47, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, HS-grad,9.0, Separated, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, 5th-6th,3.0, Never-married, Other-service, Unmarried, Other, Female,0.0,0.0,40.0, El-Salvador,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, Taiwan,<=50K -23, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -35, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -36, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -27, Private, 5th-6th,3.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,65.0, England,<=50K -36, State-gov, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -52, Private, Some-college,10.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,24.0, Vietnam,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,80.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,84.0, United-States,>50K -50, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -17, Self-emp-inc, 10th,6.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 11th,7.0, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, Mexico,<=50K -19, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, Some-college,10.0, Separated, Sales, Not-in-family, White, Male,14084.0,0.0,60.0, United-States,>50K -39, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,6849.0,0.0,40.0, United-States,<=50K -18, Private, 9th,5.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -27, Private, Masters,14.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -32, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -65, Private, 11th,7.0, Widowed, Sales, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -57, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -48, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,32.0, Haiti,<=50K -46, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,1651.0,40.0, China,<=50K -27, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1485.0,40.0, United-States,>50K -35, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -30, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -65, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -47, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,2174.0,0.0,40.0, Japan,<=50K -17, Private, 9th,5.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -38, Local-gov, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -38, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Self-emp-not-inc, HS-grad,9.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,4.0, United-States,<=50K -52, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,41.0, United-States,<=50K -46, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,58.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -56, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Self-emp-not-inc, 11th,7.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -59, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -19, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Own-child, White, Male,0.0,2129.0,55.0, United-States,<=50K -31, Private, 9th,5.0, Never-married, Craft-repair, Not-in-family, Other, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,20.0, Philippines,<=50K -48, Self-emp-not-inc, Doctorate,16.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,60.0, United-States,>50K -63, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -53, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -59, Private, Prof-school,15.0, Married-spouse-absent, Prof-specialty, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -60, State-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -38, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,56.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,20.0, South,<=50K -60, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,80.0, United-States,>50K -32, Private, Some-college,10.0, Divorced, Exec-managerial, Other-relative, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -55, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,55.0, United-States,>50K -66, Private, 10th,6.0, Widowed, Transport-moving, Not-in-family, White, Female,0.0,0.0,11.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,27828.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -26, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, Other, Female,0.0,0.0,6.0, Puerto-Rico,<=50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,99.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,50.0, Mexico,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -44, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,64.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0.0,0.0,60.0, Philippines,<=50K -29, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -42, Self-emp-not-inc, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, Poland,<=50K -80, Private, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -61, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,52.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -71, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, 11th,7.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,6.0, United-States,<=50K -39, Federal-gov, HS-grad,9.0, Never-married, Armed-Forces, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -67, Federal-gov, Bachelors,13.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1848.0,54.0, United-States,>50K -50, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Farming-fishing, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,10520.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Married-spouse-absent, Farming-fishing, Own-child, White, Female,0.0,0.0,40.0, Mexico,<=50K -40, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -43, Private, Assoc-acdm,12.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -31, State-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -57, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,36.0, United-States,<=50K -20, Local-gov, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,3464.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -27, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, HS-grad,9.0, Separated, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, State-gov, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -62, Private, 7th-8th,4.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,91.0, United-States,<=50K -29, Federal-gov, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, Other, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,70.0, United-States,>50K -32, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,2.0, United-States,<=50K -20, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -65, State-gov, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -37, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Local-gov, HS-grad,9.0, Divorced, Tech-support, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,60.0, United-States,>50K -28, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,4416.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -38, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -33, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -55, Private, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,8.0, United-States,<=50K -54, Private, Some-college,10.0, Widowed, Craft-repair, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,37.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -52, Local-gov, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -26, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Outlying-US(Guam-USVI-etc),<=50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -26, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -50, Federal-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, Masters,14.0, Widowed, Tech-support, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, India,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -58, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -72, Private, Assoc-voc,11.0, Separated, Other-service, Unmarried, White, Female,6723.0,0.0,25.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, Mexico,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -26, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -44, Private, Masters,14.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,24.0, Iran,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Other, Female,0.0,0.0,40.0, United-States,<=50K -39, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,3464.0,0.0,20.0, United-States,<=50K -54, Private, 10th,6.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,43.0, Italy,<=50K -62, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, Black, Female,0.0,0.0,35.0, Jamaica,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -84, Local-gov, Assoc-voc,11.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,14.0, United-States,<=50K -46, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -67, Local-gov, Masters,14.0, Divorced, Adm-clerical, Not-in-family, White, Female,2009.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -23, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -42, State-gov, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,20.0, United-States,<=50K -60, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 12th,8.0, Divorced, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 7th-8th,4.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, Portugal,<=50K -31, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,48.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,14084.0,0.0,50.0, United-States,>50K -61, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, State-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,49.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Some-college,10.0, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0.0,0.0,27.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -30, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Male,14084.0,0.0,44.0, United-States,>50K -51, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,72.0, United-States,>50K -48, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,25.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,30.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -50, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,1876.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024.0,0.0,32.0, United-States,>50K -24, Private, Assoc-voc,11.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,5.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,45.0, United-States,<=50K -56, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,1617.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,2176.0,0.0,20.0, United-States,<=50K -82, Private, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,4356.0,18.0, United-States,<=50K -52, Federal-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -32, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Own-child, Asian-Pac-Islander, Male,3411.0,0.0,40.0, United-States,<=50K -49, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -40, Local-gov, Assoc-voc,11.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,81.0, United-States,<=50K -32, Local-gov, Assoc-voc,11.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -52, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, State-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Other-relative, Other, Female,7688.0,0.0,38.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1902.0,38.0, United-States,>50K -57, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,28.0, United-States,<=50K -36, Self-emp-not-inc, Assoc-voc,11.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -30, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,48.0, United-States,>50K -31, Local-gov, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -32, Private, 10th,6.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,45.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,8.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -39, Federal-gov, Bachelors,13.0, Divorced, Tech-support, Unmarried, Black, Female,0.0,625.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1485.0,45.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,28.0, United-States,<=50K -48, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Self-emp-not-inc, Masters,14.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -48, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, Mexico,<=50K -55, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,2202.0,0.0,35.0, Italy,<=50K -40, Local-gov, Assoc-voc,11.0, Never-married, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -55, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -36, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -39, Private, Bachelors,13.0, Separated, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,>50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -34, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,1408.0,38.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -55, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,14084.0,0.0,40.0, United-States,>50K -35, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -50, Private, 11th,7.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Assoc-voc,11.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,15024.0,0.0,15.0, United-States,>50K -48, Self-emp-inc, Masters,14.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Local-gov, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,1408.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1740.0,43.0, United-States,<=50K -44, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -73, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,6.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -32, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1902.0,55.0, United-States,>50K -43, Federal-gov, Masters,14.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,32.0, United-States,<=50K -30, Private, Some-college,10.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -55, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,37.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,28.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Greece,<=50K -51, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, Some-college,10.0, Widowed, Priv-house-serv, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -17, Self-emp-inc, 9th,5.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 10th,6.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -58, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, Guatemala,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -37, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1485.0,44.0, United-States,>50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,1721.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -40, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, Assoc-voc,11.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,60.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -25, Federal-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -60, Private, 1st-4th,2.0, Divorced, Craft-repair, Not-in-family, Other, Male,0.0,0.0,38.0, Dominican-Republic,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Tech-support, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -48, Private, Bachelors,13.0, Divorced, Adm-clerical, Own-child, White, Male,0.0,0.0,38.0, United-States,>50K -78, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -72, Private, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,17.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, 11th,7.0, Never-married, Protective-serv, Not-in-family, Black, Male,13550.0,0.0,40.0, United-States,>50K -48, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Masters,14.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -47, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -50, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -35, Federal-gov, 5th-6th,3.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -17, Private, 11th,7.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -35, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -79, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, 11th,7.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -59, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,19.0, Philippines,<=50K -41, Private, 5th-6th,3.0, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0.0,0.0,35.0, Mexico,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -45, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -61, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Other-relative, White, Female,0.0,0.0,45.0, Mexico,<=50K -34, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -35, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -65, Private, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, England,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -18, Private, 7th-8th,4.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, Some-college,10.0, Widowed, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,15.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -40, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, China,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Local-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-inc, Doctorate,16.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -36, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -23, State-gov, 5th-6th,3.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -21, Private, 10th,6.0, Separated, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,32.0, United-States,<=50K -53, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -53, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -58, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,60.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -39, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -36, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,45.0, United-States,>50K -51, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -56, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, 12th,8.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -33, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Female,0.0,0.0,60.0, United-States,>50K -38, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -59, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, 5th-6th,3.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -24, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,35.0, Jamaica,<=50K -22, State-gov, Some-college,10.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,39.0, Haiti,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -47, Local-gov, Some-college,10.0, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -40, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -51, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,1590.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1669.0,45.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -52, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,70.0, Germany,>50K -39, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,60.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,35.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Germany,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,53.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -52, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0.0,0.0,52.0, Taiwan,<=50K -36, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -39, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 1st-4th,2.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,96.0, Mexico,<=50K -26, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -62, Private, HS-grad,9.0, Divorced, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,99.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -58, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Private, 11th,7.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -31, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -64, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -28, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -45, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -39, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,15024.0,0.0,70.0, United-States,>50K -46, Self-emp-not-inc, Bachelors,13.0, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,60.0, South,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, Scotland,<=50K -25, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -36, Federal-gov, Some-college,10.0, Separated, Adm-clerical, Unmarried, Black, Female,6497.0,0.0,56.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Exec-managerial, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -34, Private, 11th,7.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-inc, Masters,14.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -21, Private, Preschool,1.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, Mexico,<=50K -31, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -31, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -29, Private, 10th,6.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,25.0, United-States,<=50K -51, Local-gov, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,33.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -39, Private, HS-grad,9.0, Separated, Exec-managerial, Not-in-family, White, Male,14344.0,0.0,40.0, United-States,>50K -62, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -46, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -51, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,35.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -40, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -31, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,38.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Prof-specialty, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -65, Private, Bachelors,13.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,4650.0,0.0,40.0, United-States,<=50K -60, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,7298.0,0.0,48.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, Ireland,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -53, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -49, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,14.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -63, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -63, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -62, Self-emp-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,99999.0,0.0,40.0, United-States,>50K -51, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,3103.0,0.0,30.0, United-States,>50K -76, Local-gov, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,45.0, United-States,<=50K -45, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Self-emp-inc, Some-college,10.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,45.0, United-States,>50K -51, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,4650.0,0.0,35.0, United-States,<=50K -43, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Federal-gov, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 10th,6.0, Widowed, Other-service, Not-in-family, Black, Female,0.0,1980.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -60, Private, Assoc-voc,11.0, Widowed, Craft-repair, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,14344.0,0.0,45.0, United-States,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -57, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -30, Private, 9th,5.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298.0,0.0,42.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -51, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, 5th-6th,3.0, Separated, Adm-clerical, Other-relative, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -28, Private, Assoc-voc,11.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Federal-gov, Bachelors,13.0, Divorced, Tech-support, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,13550.0,0.0,50.0, United-States,>50K -46, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, Black, Male,7688.0,0.0,40.0, United-States,>50K -25, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -33, Self-emp-not-inc, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,20.0, England,>50K -26, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -30, State-gov, HS-grad,9.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Local-gov, Masters,14.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,4064.0,0.0,40.0, El-Salvador,<=50K -34, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Separated, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, Ireland,<=50K -54, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -43, Private, 7th-8th,4.0, Separated, Farming-fishing, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,25.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,34.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Other-service, Other-relative, Black, Female,0.0,0.0,35.0, United-States,<=50K -24, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, 10th,6.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -57, Private, 5th-6th,3.0, Separated, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1977.0,24.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,51.0, Cuba,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0.0,0.0,42.0, Japan,<=50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -61, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,99.0, United-States,<=50K -28, Private, 9th,5.0, Never-married, Handlers-cleaners, Own-child, Black, Female,0.0,0.0,24.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -38, State-gov, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -40, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -38, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, Black, Male,0.0,0.0,30.0, United-States,<=50K -56, Private, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -22, Private, HS-grad,9.0, Married-civ-spouse, Priv-house-serv, Wife, White, Female,4508.0,0.0,40.0, United-States,<=50K -18, State-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -68, Private, Some-college,10.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, 10th,6.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -30, Private, 10th,6.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -62, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,2829.0,0.0,24.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, Germany,>50K -26, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -25, State-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, Columbia,<=50K -36, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,42.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, Mexico,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -25, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,8.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,62.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,33.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -31, Private, Assoc-acdm,12.0, Divorced, Sales, Unmarried, White, Female,0.0,880.0,45.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -65, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,44.0, Mexico,>50K -42, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, State-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, Black, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -53, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Other-relative, White, Male,0.0,0.0,35.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -42, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 12th,8.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,37.0, United-States,>50K -39, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -44, Self-emp-not-inc, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,37.0, Portugal,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,35.0, Puerto-Rico,<=50K -53, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -31, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2415.0,70.0, Taiwan,>50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,>50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1485.0,47.0, United-States,<=50K -60, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, Hungary,>50K -59, Private, 9th,5.0, Separated, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -37, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,48.0, United-States,>50K -47, Federal-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -49, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -73, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Other-relative, White, Female,0.0,0.0,11.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, State-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -62, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1876.0,36.0, Canada,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,34.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -52, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,65.0, United-States,>50K -30, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, 11th,7.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -59, Local-gov, Some-college,10.0, Separated, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 11th,7.0, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Self-emp-not-inc, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -54, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,44.0, United-States,<=50K -23, Private, 9th,5.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -54, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,42.0, United-States,<=50K -23, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,1726.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,1902.0,40.0, United-States,>50K -32, Private, 11th,7.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,30.0, United-States,<=50K -60, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Widowed, Adm-clerical, Other-relative, White, Female,0.0,0.0,22.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Doctorate,16.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,60.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,27.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1672.0,45.0, United-States,<=50K -62, Private, Bachelors,13.0, Widowed, Exec-managerial, Not-in-family, White, Male,10520.0,0.0,50.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -52, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, 10th,6.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Widowed, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -31, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,76.0, United-States,>50K -31, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, Mexico,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -57, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -25, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -32, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, 9th,5.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -43, State-gov, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -90, Private, HS-grad,9.0, Widowed, Transport-moving, Unmarried, White, Male,0.0,0.0,99.0, United-States,<=50K -25, Private, 11th,7.0, Separated, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,35.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -48, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -46, Private, Bachelors,13.0, Widowed, Tech-support, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -32, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-AF-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,18.0, United-States,<=50K -28, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,2176.0,0.0,40.0, United-States,<=50K -40, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,18.0, United-States,<=50K -25, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,80.0, United-States,<=50K -49, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,34095.0,0.0,60.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, Some-college,10.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Canada,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -51, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,47.0, United-States,>50K -55, Private, Bachelors,13.0, Widowed, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,78.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, England,>50K -35, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -55, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -46, Local-gov, Masters,14.0, Widowed, Exec-managerial, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, Germany,<=50K -51, Private, 11th,7.0, Divorced, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,72.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Transport-moving, Unmarried, White, Male,1831.0,0.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -40, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -49, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -62, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -47, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,3.0, United-States,<=50K -44, State-gov, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Transport-moving, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -35, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,1974.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,50.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Divorced, Sales, Unmarried, White, Female,3418.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -30, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178.0,0.0,75.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, 10th,6.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -67, Self-emp-not-inc, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,2885.0,0.0,40.0, Laos,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,39.0, United-States,<=50K -44, Federal-gov, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -31, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1902.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -47, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -19, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, Mexico,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -56, Private, 9th,5.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,99.0, United-States,>50K -57, Local-gov, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Federal-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,1902.0,40.0, South,>50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -29, Private, 12th,8.0, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,7298.0,0.0,35.0, United-States,>50K -71, Local-gov, HS-grad,9.0, Widowed, Exec-managerial, Other-relative, White, Female,0.0,0.0,33.0, United-States,<=50K -20, Private, 11th,7.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,36.0, United-States,<=50K -61, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, 9th,5.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1902.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,16.0, United-States,<=50K -51, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -49, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -67, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,15831.0,0.0,16.0, Germany,>50K -61, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Local-gov, 7th-8th,4.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 10th,6.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -20, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,80.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -39, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -62, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,55.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1876.0,38.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,20.0, United-States,<=50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Without-pay, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,99.0, United-States,<=50K -68, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,48.0, Mexico,<=50K -28, Self-emp-inc, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Separated, Transport-moving, Unmarried, Black, Female,0.0,0.0,48.0, United-States,<=50K -50, Self-emp-not-inc, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -48, Self-emp-inc, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -50, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, 12th,8.0, Married-spouse-absent, Handlers-cleaners, Not-in-family, Other, Male,0.0,0.0,56.0, Dominican-Republic,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,48.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,32.0, United-States,<=50K -41, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -45, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, 9th,5.0, Married-civ-spouse, Farming-fishing, Wife, White, Female,0.0,0.0,42.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -47, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -53, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -33, Local-gov, Bachelors,13.0, Never-married, Tech-support, Not-in-family, Black, Male,0.0,1564.0,52.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Federal-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -61, State-gov, 11th,7.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,32.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-spouse-absent, Tech-support, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -74, Private, 1st-4th,2.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,20.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -75, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2174.0,50.0, United-States,>50K -40, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -36, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,18.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,32.0, United-States,<=50K -50, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,880.0,40.0, United-States,<=50K -47, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,15024.0,0.0,40.0, United-States,>50K -48, Private, HS-grad,9.0, Never-married, Tech-support, Unmarried, Black, Female,0.0,0.0,33.0, Jamaica,<=50K -60, Self-emp-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,30.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1977.0,35.0, United-States,>50K -51, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, 9th,5.0, Married-spouse-absent, Machine-op-inspct, Unmarried, Black, Male,0.0,0.0,75.0, Haiti,<=50K -48, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Mexico,>50K -32, Private, Assoc-acdm,12.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -32, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,80.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,55.0, United-States,>50K -38, Self-emp-not-inc, 10th,6.0, Separated, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,1564.0,40.0, United-States,>50K -32, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,880.0,36.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Priv-house-serv, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -37, Local-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,1672.0,44.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,3464.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,4.0, United-States,<=50K -29, Private, Bachelors,13.0, Divorced, Other-service, Unmarried, Other, Female,0.0,0.0,40.0, United-States,<=50K -66, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2267.0,40.0, United-States,<=50K -59, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -27, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1887.0,60.0, United-States,>50K -42, State-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -58, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Prof-school,15.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,70.0, United-States,<=50K -59, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,65.0, Hong,>50K -33, Private, Some-college,10.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Female,0.0,0.0,45.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,50.0, United-States,>50K -26, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -37, Federal-gov, Assoc-voc,11.0, Separated, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -68, Self-emp-not-inc, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,41.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,28.0, United-States,<=50K -39, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-inc, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,65.0, United-States,>50K -52, Private, Bachelors,13.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -84, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,13.0, United-States,<=50K -33, Federal-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -46, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, England,>50K -66, Private, HS-grad,9.0, Widowed, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -62, Federal-gov, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Italy,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,1887.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2829.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Poland,<=50K -21, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Separated, Other-service, Not-in-family, Black, Male,0.0,1876.0,50.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -57, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,48.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -68, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,2414.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,24.0, United-States,<=50K -22, Without-pay, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,4416.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -56, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,1721.0,40.0, United-States,<=50K -39, Private, 10th,6.0, Widowed, Machine-op-inspct, Not-in-family, Black, Male,0.0,1590.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -56, Self-emp-not-inc, Masters,14.0, Divorced, Sales, Not-in-family, White, Male,0.0,1876.0,60.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -30, Self-emp-not-inc, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -27, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -30, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,14.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -38, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -45, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,55.0, United-States,>50K -38, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Federal-gov, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Federal-gov, Masters,14.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, Nicaragua,<=50K -28, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,99999.0,0.0,40.0, United-States,>50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -43, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -45, Local-gov, HS-grad,9.0, Divorced, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Self-emp-inc, Doctorate,16.0, Divorced, Exec-managerial, Not-in-family, White, Male,14084.0,0.0,50.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -58, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, Black, Male,2174.0,0.0,40.0, United-States,<=50K -59, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,47.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2407.0,0.0,40.0, United-States,<=50K -53, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, China,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -33, Private, 9th,5.0, Separated, Adm-clerical, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -48, Private, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,36.0, Philippines,>50K -45, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, 9th,5.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -21, Private, 7th-8th,4.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -52, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -41, Self-emp-inc, Bachelors,13.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,70.0, United-States,>50K -53, State-gov, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,1092.0,40.0, United-States,<=50K -33, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, 10th,6.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -43, Federal-gov, Doctorate,16.0, Separated, Prof-specialty, Unmarried, Black, Female,0.0,0.0,24.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -67, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,1797.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -47, Self-emp-not-inc, Masters,14.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,25.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,1055.0,0.0,30.0, United-States,<=50K -21, Private, 9th,5.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,50.0, Mexico,<=50K -40, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Local-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1564.0,55.0, England,>50K -49, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,594.0,0.0,10.0, United-States,<=50K -45, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,32.0, United-States,>50K -32, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -45, State-gov, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -55, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,2885.0,0.0,25.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Divorced, Sales, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -32, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, Some-college,10.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Private, 7th-8th,4.0, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, Guatemala,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -43, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -60, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Masters,14.0, Married-civ-spouse, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -29, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,55.0, England,<=50K -47, Private, 1st-4th,2.0, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0.0,0.0,12.0, Mexico,<=50K -20, Private, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,5178.0,0.0,40.0, Poland,>50K -27, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,27.0, United-States,<=50K -23, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -59, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -46, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -46, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,38.0, United-States,>50K -36, Local-gov, 11th,7.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,23.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,98.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2002.0,30.0, United-States,<=50K -68, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,38.0, Jamaica,<=50K -30, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -23, State-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,21.0, United-States,<=50K -40, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -49, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -42, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Iran,<=50K -40, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Married-spouse-absent, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,14344.0,0.0,40.0, United-States,>50K -41, Private, 11th,7.0, Never-married, Handlers-cleaners, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,53.0, United-States,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -73, Private, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -90, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, England,>50K -62, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -19, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, Black, Female,0.0,0.0,52.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Male,2202.0,0.0,80.0, United-States,<=50K -22, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,28.0, United-States,<=50K -45, Federal-gov, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Male,0.0,2080.0,40.0, Philippines,<=50K -26, Local-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -42, Local-gov, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -62, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -61, Private, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Male,0.0,1564.0,60.0, United-States,>50K -22, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,53.0, United-States,<=50K -56, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Female,0.0,1669.0,45.0, United-States,<=50K -58, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,1876.0,40.0, United-States,<=50K -25, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,25.0, United-States,>50K -23, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -72, Private, 10th,6.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -21, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, Masters,14.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,1980.0,45.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -65, Private, 10th,6.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Male,6497.0,0.0,65.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, State-gov, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,42.0, United-States,<=50K -53, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -23, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -43, State-gov, Doctorate,16.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -58, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3908.0,0.0,40.0, United-States,<=50K -38, Private, 10th,6.0, Separated, Adm-clerical, Unmarried, White, Male,0.0,3770.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -60, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1672.0,50.0, United-States,<=50K -33, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -29, Local-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, State-gov, Doctorate,16.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -41, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -63, Self-emp-not-inc, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,27.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,25.0, United-States,<=50K -41, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -59, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -24, Self-emp-not-inc, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,45.0, United-States,<=50K -67, Self-emp-not-inc, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -47, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Guatemala,<=50K -38, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Masters,14.0, Divorced, Prof-specialty, Own-child, White, Female,1506.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,50.0, Portugal,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Thailand,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -63, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, Bachelors,13.0, Divorced, Transport-moving, Own-child, Black, Male,6497.0,0.0,40.0, United-States,<=50K -57, Private, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,1504.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -48, Private, 12th,8.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -74, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Local-gov, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -38, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,7443.0,0.0,40.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Self-emp-not-inc, 9th,5.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, Mexico,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Separated, Handlers-cleaners, Not-in-family, Other, Male,0.0,0.0,30.0, United-States,<=50K -49, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Other-relative, Black, Female,0.0,0.0,40.0, Haiti,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -68, Self-emp-inc, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,15.0, United-States,<=50K -41, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103.0,0.0,50.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,44.0, United-States,<=50K -54, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,30.0, United-States,<=50K -26, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, State-gov, Bachelors,13.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,2885.0,0.0,15.0, United-States,<=50K -50, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Wife, White, Female,3942.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -41, Private, Some-college,10.0, Widowed, Adm-clerical, Unmarried, Black, Female,0.0,0.0,48.0, United-States,<=50K -24, Private, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,2580.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, Columbia,<=50K -41, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,50.0, India,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -69, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,2964.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,3942.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Some-college,10.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,1902.0,65.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Self-emp-not-inc, Some-college,10.0, Divorced, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Some-college,10.0, Married-spouse-absent, Exec-managerial, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -26, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,75.0, United-States,>50K -42, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Germany,<=50K -45, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,25.0, United-States,<=50K -24, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Sales, Other-relative, White, Female,0.0,0.0,32.0, United-States,<=50K -28, Self-emp-inc, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -58, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -59, Private, 7th-8th,4.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -39, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -54, Private, Prof-school,15.0, Never-married, Prof-specialty, Other-relative, White, Female,0.0,0.0,65.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -59, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,55.0, United-States,>50K -42, State-gov, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, HS-grad,9.0, Separated, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -55, Local-gov, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,5.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Cambodia,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -29, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,16.0, United-States,<=50K -57, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,42.0, United-States,<=50K -44, Private, Bachelors,13.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, 1st-4th,2.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,22.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,16.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -41, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,3103.0,0.0,40.0, United-States,>50K -37, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,8.0, United-States,<=50K -24, State-gov, 7th-8th,4.0, Never-married, Tech-support, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -53, Private, 12th,8.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,1980.0,48.0, United-States,<=50K -54, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, 10th,6.0, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, Iran,<=50K -58, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -59, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Federal-gov, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,54.0, United-States,<=50K -32, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Assoc-acdm,12.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Germany,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,1721.0,20.0, United-States,<=50K -24, Federal-gov, Bachelors,13.0, Never-married, Armed-Forces, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,32.0, United-States,<=50K -54, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, State-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -30, Private, Some-college,10.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -63, Local-gov, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, Black, Male,0.0,0.0,35.0, Outlying-US(Guam-USVI-etc),<=50K -33, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,3325.0,0.0,50.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, 10th,6.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,25.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2885.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,6.0, United-States,<=50K -47, Private, Assoc-acdm,12.0, Divorced, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -71, Private, Masters,14.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, 7th-8th,4.0, Widowed, Sales, Other-relative, White, Female,0.0,1602.0,3.0, United-States,<=50K -58, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,2415.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Female,0.0,0.0,20.0, Columbia,<=50K -40, Federal-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Ecuador,<=50K -41, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Female,3325.0,0.0,40.0, United-States,<=50K -28, Self-emp-inc, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -40, Private, 10th,6.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0.0,0.0,30.0, United-States,<=50K -39, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -39, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,1876.0,50.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -62, Federal-gov, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,1887.0,55.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,4386.0,0.0,45.0, United-States,>50K -37, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -58, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -39, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,>50K -34, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, England,>50K -45, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -40, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -36, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, HS-grad,9.0, Divorced, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Female,0.0,0.0,35.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -60, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Private, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,3908.0,0.0,47.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, Black, Male,0.0,0.0,30.0, United-States,<=50K -37, Federal-gov, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, 11th,7.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -39, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,4865.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -22, Private, Assoc-voc,11.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -32, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,15.0, United-States,<=50K -68, Private, 7th-8th,4.0, Widowed, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,20.0, United-States,<=50K -70, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,3432.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, State-gov, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,15.0, Japan,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,30.0, Nicaragua,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -62, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Male,6849.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -48, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Other, Male,0.0,0.0,40.0, Mexico,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,15.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -40, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, 11th,7.0, Never-married, Farming-fishing, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,1590.0,40.0, United-States,<=50K -57, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -59, Private, 9th,5.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Male,10520.0,0.0,50.0, United-States,>50K -48, Self-emp-not-inc, HS-grad,9.0, Separated, Other-service, Other-relative, White, Female,0.0,0.0,25.0, United-States,<=50K -58, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 9th,5.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024.0,0.0,38.0, United-States,>50K -33, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,30.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -64, Private, 11th,7.0, Widowed, Tech-support, Unmarried, White, Female,0.0,0.0,16.0, United-States,<=50K -28, Private, 10th,6.0, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -36, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, Columbia,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -24, Local-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -45, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -56, Local-gov, Masters,14.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -50, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -61, Private, 7th-8th,4.0, Widowed, Other-service, Not-in-family, Black, Female,0.0,0.0,21.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Never-married, Transport-moving, Own-child, White, Male,0.0,1980.0,60.0, United-States,<=50K -63, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, Germany,>50K -27, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -51, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, 12th,8.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2051.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,3674.0,0.0,50.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, Mexico,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, Masters,14.0, Divorced, Exec-managerial, Own-child, White, Female,14084.0,0.0,50.0, United-States,>50K -83, Self-emp-not-inc, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Male,0.0,0.0,8.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,1887.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -33, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,6849.0,0.0,60.0, United-States,<=50K -52, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Handlers-cleaners, Not-in-family, White, Male,2463.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -17, Private, 9th,5.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,26.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,80.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -58, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Sales, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -59, Local-gov, Some-college,10.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, Poland,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -44, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, India,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -38, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -34, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, Some-college,10.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -43, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1669.0,60.0, United-States,<=50K -68, Private, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,10.0, United-States,>50K -46, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -57, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -66, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -38, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 11th,7.0, Separated, Priv-house-serv, Unmarried, White, Female,0.0,0.0,8.0, Mexico,<=50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,37.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, France,<=50K -59, Local-gov, HS-grad,9.0, Separated, Protective-serv, Other-relative, Black, Female,0.0,2339.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -64, Private, 5th-6th,3.0, Separated, Other-service, Other-relative, White, Female,0.0,0.0,20.0, Cuba,<=50K -61, Private, 12th,8.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -53, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, 11th,7.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,7.0, United-States,<=50K -34, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -67, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,9386.0,0.0,24.0, Cuba,>50K -46, Private, Assoc-acdm,12.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,27.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,41.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, Japan,<=50K -57, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, Cuba,<=50K -32, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -39, Local-gov, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,30.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -25, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -41, Federal-gov, Some-college,10.0, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Male,4650.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -21, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -45, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Canada,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Craft-repair, Other-relative, Black, Female,0.0,0.0,50.0, United-States,<=50K -44, Federal-gov, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Female,2354.0,0.0,40.0, United-States,<=50K -50, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,80.0, United-States,>50K -55, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,45.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, 12th,8.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,32.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -57, State-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -47, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,35.0, United-States,>50K -49, Private, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,60.0, England,<=50K -36, State-gov, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -52, Private, 10th,6.0, Divorced, Other-service, Other-relative, White, Female,0.0,0.0,25.0, United-States,<=50K -50, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -31, Private, 1st-4th,2.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, Mexico,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,1974.0,40.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -49, Federal-gov, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -58, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -48, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -21, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -67, Local-gov, 7th-8th,4.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -39, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Federal-gov, Assoc-voc,11.0, Divorced, Farming-fishing, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -41, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -59, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,44.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -54, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -39, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -57, Local-gov, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, 10th,6.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -31, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Married-spouse-absent, Adm-clerical, Own-child, Black, Female,0.0,0.0,45.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,37.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Canada,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -63, Private, 5th-6th,3.0, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,19.0, Philippines,<=50K -23, Private, 9th,5.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -75, Private, Preschool,1.0, Never-married, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,48.0, Philippines,<=50K -52, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -69, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -40, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -21, State-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,1902.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,3908.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -33, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,37.0, United-States,<=50K -22, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -75, Self-emp-not-inc, Some-college,10.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -55, Private, 11th,7.0, Widowed, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,27828.0,0.0,56.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,3103.0,0.0,50.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,3908.0,0.0,50.0, United-States,<=50K -28, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Other-service, Other-relative, Black, Female,0.0,0.0,30.0, United-States,<=50K -44, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,20.0, United-States,<=50K -23, Private, 12th,8.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -25, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,8.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Other-relative, Black, Female,0.0,0.0,24.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,2176.0,0.0,45.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -62, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,15.0, United-States,>50K -30, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Widowed, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -48, Self-emp-not-inc, 7th-8th,4.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -63, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2290.0,0.0,20.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -46, Private, Preschool,1.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, Mexico,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -25, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,35.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0.0,0.0,20.0, United-States,<=50K -59, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, State-gov, HS-grad,9.0, Divorced, Protective-serv, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -24, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, Mexico,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -49, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,56.0, United-States,>50K -35, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, Masters,14.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,1380.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,60.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,50.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, State-gov, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -70, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051.0,0.0,35.0, United-States,>50K -34, Private, Masters,14.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -66, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, HS-grad,9.0, Separated, Transport-moving, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -59, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -25, Private, 9th,5.0, Never-married, Craft-repair, Unmarried, White, Male,914.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -40, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,1762.0,40.0, United-States,<=50K -73, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,6418.0,0.0,99.0, United-States,>50K -45, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -23, Private, 11th,7.0, Never-married, Adm-clerical, Unmarried, Black, Male,0.0,0.0,35.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -53, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,47.0, United-States,<=50K -40, State-gov, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,6.0, United-States,<=50K -36, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Male,13550.0,0.0,50.0, United-States,>50K -35, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,4650.0,0.0,40.0, United-States,<=50K -53, Federal-gov, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,50.0, United-States,>50K -42, Local-gov, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,65.0, United-States,>50K -32, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, Other, Female,0.0,0.0,65.0, United-States,<=50K -59, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,60.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -37, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Cuba,>50K -31, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,38.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1485.0,60.0, United-States,>50K -29, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -42, Private, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -60, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -35, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,36.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, Black, Male,0.0,0.0,22.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,625.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -52, Private, 11th,7.0, Separated, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,49.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -30, State-gov, Masters,14.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,20.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -51, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1974.0,55.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Local-gov, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, Mexico,<=50K -45, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -37, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -47, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -21, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -33, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, Black, Male,0.0,0.0,55.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -41, Private, Some-college,10.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -20, State-gov, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,54.0, United-States,<=50K -34, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -78, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386.0,0.0,45.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -59, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -31, Local-gov, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -42, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -46, Local-gov, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -21, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Assoc-voc,11.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -44, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-not-inc, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -38, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, Italy,>50K -53, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,36.0, United-States,>50K -49, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-not-inc, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,20.0, England,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -49, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, 11th,7.0, Never-married, Other-service, Own-child, Black, Male,1055.0,0.0,32.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -60, Private, Some-college,10.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -55, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,55.0, United-States,>50K -24, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Japan,>50K -42, Private, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -45, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -41, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,70.0, United-States,>50K -34, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,1740.0,35.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -51, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Other-relative, White, Female,0.0,0.0,18.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -64, Self-emp-not-inc, 9th,5.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -24, Private, 10th,6.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,30.0, Mexico,<=50K -43, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, 11th,7.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,36.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -26, Private, 11th,7.0, Separated, Craft-repair, Other-relative, White, Male,2907.0,0.0,50.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, Cuba,<=50K -39, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -54, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,>50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,2174.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -32, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -47, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -64, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -30, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -51, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -26, State-gov, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,1504.0,40.0, United-States,<=50K -50, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -37, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2415.0,50.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -69, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -39, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -42, Self-emp-not-inc, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,22.0, United-States,<=50K -41, Federal-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -46, Without-pay, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -33, Private, 5th-6th,3.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -46, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, France,<=50K -55, State-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,1887.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,16.0, Germany,<=50K -48, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,56.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -44, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Transport-moving, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, State-gov, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,0.0,37.0, Hong,<=50K -53, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,13550.0,0.0,60.0, United-States,>50K -39, Private, Bachelors,13.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, Poland,>50K -40, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -35, Private, 12th,8.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -71, Private, 7th-8th,4.0, Widowed, Exec-managerial, Not-in-family, White, Male,6097.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,6849.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -69, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,10520.0,0.0,50.0, United-States,>50K -51, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -49, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,2407.0,0.0,99.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,1504.0,40.0, United-States,<=50K -49, State-gov, Prof-school,15.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Female,0.0,0.0,42.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, Black, Female,0.0,0.0,45.0, United-States,<=50K -46, Private, Some-college,10.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -63, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,3103.0,0.0,50.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Local-gov, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -58, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, England,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Separated, Sales, Own-child, White, Female,0.0,0.0,26.0, United-States,<=50K -22, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -80, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,48.0, United-States,>50K -48, Private, 10th,6.0, Separated, Machine-op-inspct, Own-child, White, Female,0.0,0.0,48.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -32, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -58, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -29, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -59, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, Ecuador,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,45.0, United-States,>50K -27, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,7298.0,0.0,60.0, India,>50K -34, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,15024.0,0.0,70.0, South,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Female,0.0,0.0,28.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,88.0, United-States,<=50K -21, Private, 10th,6.0, Never-married, Handlers-cleaners, Not-in-family, Other, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,35.0, United-States,<=50K -25, Private, 10th,6.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -40, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,9.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -58, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,3781.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -62, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,4865.0,0.0,36.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,38.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -42, Local-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,45.0, United-States,<=50K -31, Private, 1st-4th,2.0, Separated, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,35.0, Honduras,<=50K -42, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -26, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -62, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,98.0, United-States,>50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -34, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, Some-college,10.0, Married-spouse-absent, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,56.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,53.0, United-States,>50K -66, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,8.0, United-States,>50K -34, State-gov, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,68.0, United-States,>50K -54, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -71, Private, 9th,5.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,13.0, United-States,<=50K -51, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, 11th,7.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Canada,<=50K -34, Private, 9th,5.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,14084.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,44.0, Ireland,<=50K -37, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -19, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -64, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,4650.0,0.0,45.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -39, Self-emp-not-inc, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,4787.0,0.0,40.0, United-States,>50K -18, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, Columbia,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -53, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,60.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, 10th,6.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -77, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,8.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,3418.0,0.0,30.0, United-States,<=50K -38, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,4650.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Self-emp-inc, Masters,14.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -36, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -78, Self-emp-inc, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -43, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,1902.0,32.0, United-States,>50K -34, State-gov, Some-college,10.0, Separated, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -21, Private, 9th,5.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Assoc-acdm,12.0, Separated, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -36, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, 11th,7.0, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -60, State-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Local-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -61, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,35.0, United-States,>50K -45, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Male,7430.0,0.0,70.0, United-States,>50K -31, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -60, Self-emp-not-inc, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,2559.0,50.0, United-States,>50K -26, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, 11th,7.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,65.0, United-States,>50K -45, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Female,2354.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,3908.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -55, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, State-gov, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, Bachelors,13.0, Married-spouse-absent, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 9th,5.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -51, Self-emp-not-inc, 10th,6.0, Widowed, Transport-moving, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,2174.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,45.0, England,<=50K -24, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -50, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3411.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 5th-6th,3.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 10th,6.0, Separated, Transport-moving, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -45, Local-gov, Assoc-acdm,12.0, Divorced, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -27, Private, 10th,6.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Local-gov, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,1977.0,50.0, South,>50K -45, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Germany,<=50K -46, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,323.0,45.0, United-States,<=50K -67, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -40, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -44, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2415.0,50.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -54, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -33, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -49, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -51, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -35, Federal-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,60.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,7688.0,0.0,50.0, Philippines,>50K -50, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,70.0, United-States,>50K -43, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, 9th,5.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,30.0, El-Salvador,<=50K -33, Private, 9th,5.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,45.0, El-Salvador,<=50K -48, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,1590.0,38.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -29, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Japan,<=50K -42, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, Hungary,<=50K -36, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -66, Local-gov, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,45.0, El-Salvador,<=50K -48, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -32, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,29.0, United-States,<=50K -39, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -29, Local-gov, Bachelors,13.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -44, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3942.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Separated, Sales, Not-in-family, Black, Male,0.0,0.0,44.0, United-States,<=50K -40, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,30.0, Canada,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -57, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, Taiwan,>50K -54, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -44, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, Scotland,<=50K -29, Private, Some-college,10.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -45, Private, Some-college,10.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, White, Male,2174.0,0.0,40.0, Cuba,<=50K -51, Local-gov, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,10.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -58, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, 10th,6.0, Widowed, Farming-fishing, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -30, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, 10th,6.0, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, Canada,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -58, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -59, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,1719.0,30.0, United-States,<=50K -44, Private, 11th,7.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,5178.0,0.0,36.0, United-States,>50K -50, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -54, Local-gov, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -60, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,3908.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -33, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, Poland,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -56, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -41, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,1974.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,2001.0,50.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Local-gov, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, Mexico,<=50K -57, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,42.0, United-States,<=50K -49, Private, 7th-8th,4.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, Mexico,<=50K -52, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Self-emp-inc, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -54, Local-gov, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,42.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -22, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Unmarried, White, Male,0.0,0.0,56.0, United-States,<=50K -65, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,9386.0,0.0,10.0, United-States,>50K -32, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -34, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,98.0, United-States,<=50K -63, Federal-gov, Doctorate,16.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,2559.0,60.0, United-States,>50K -48, Private, 5th-6th,3.0, Never-married, Priv-house-serv, Unmarried, White, Female,0.0,0.0,35.0, Nicaragua,<=50K -26, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -28, Private, Some-college,10.0, Separated, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,12.0, United-States,<=50K -57, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024.0,0.0,50.0, India,>50K -64, State-gov, Bachelors,13.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, 7th-8th,4.0, Married-civ-spouse, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -44, Private, Assoc-acdm,12.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -34, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,1639.0,0.0,20.0, United-States,<=50K -18, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -36, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, United-States,<=50K -73, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0.0,2457.0,40.0, Vietnam,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -29, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Federal-gov, HS-grad,9.0, Separated, Adm-clerical, Other-relative, Black, Female,0.0,0.0,35.0, United-States,<=50K -55, Private, 10th,6.0, Widowed, Transport-moving, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -21, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, Other, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Female,0.0,213.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -59, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2179.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Female,0.0,1138.0,40.0, United-States,<=50K -29, Self-emp-not-inc, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -59, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,80.0, United-States,>50K -58, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,1504.0,45.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -66, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,1594.0,30.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -41, State-gov, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,36.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, Germany,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Self-emp-not-inc, Doctorate,16.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, Black, Female,0.0,0.0,24.0, United-States,<=50K -32, Private, 7th-8th,4.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,15.0, Mexico,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -57, Local-gov, Masters,14.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,14.0, United-States,>50K -53, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,1876.0,38.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Separated, Craft-repair, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -47, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -39, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -49, State-gov, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,7.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -28, Private, 11th,7.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -37, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -43, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female,1055.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -38, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,75.0, United-States,<=50K -38, Private, 5th-6th,3.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -65, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -70, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2246.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Separated, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,7.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, State-gov, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Federal-gov, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,55.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -42, Local-gov, Masters,14.0, Separated, Exec-managerial, Unmarried, Black, Male,0.0,0.0,45.0, United-States,>50K -31, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -51, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -24, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,44.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0.0,1876.0,45.0, Cambodia,<=50K -17, Private, 9th,5.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -45, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -39, State-gov, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,625.0,35.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,4.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,8614.0,0.0,45.0, United-States,>50K -39, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Male,0.0,2444.0,45.0, United-States,>50K -42, Private, HS-grad,9.0, Separated, Transport-moving, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -59, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -45, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,45.0, United-States,<=50K -21, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -45, Private, 11th,7.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,16.0, United-States,<=50K -38, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,3137.0,0.0,40.0, United-States,<=50K -62, Private, 10th,6.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,4.0, United-States,>50K -43, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -47, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,7.0, United-States,>50K -59, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -37, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -20, Local-gov, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -20, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -38, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,28.0, United-States,>50K -23, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-spouse-absent, Sales, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Sales, Own-child, White, Male,2174.0,0.0,45.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -69, Self-emp-not-inc, 7th-8th,4.0, Never-married, Farming-fishing, Other-relative, White, Male,1848.0,0.0,10.0, United-States,<=50K -39, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -43, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Federal-gov, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, 11th,7.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,84.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,21.0, United-States,<=50K -64, Private, Some-college,10.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, 1st-4th,2.0, Married-civ-spouse, Protective-serv, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -39, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -25, Private, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -34, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -54, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Other, Male,0.0,0.0,50.0, Puerto-Rico,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -70, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, Nicaragua,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,12.0, United-States,>50K -50, Local-gov, 11th,7.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -31, Private, Some-college,10.0, Separated, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -29, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 7th-8th,4.0, Never-married, Farming-fishing, Other-relative, Other, Male,0.0,0.0,40.0, Mexico,<=50K -46, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 10th,6.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,23.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -61, Local-gov, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -24, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,41.0, United-States,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,8.0, United-States,<=50K -61, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,20.0, United-States,>50K -69, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,2267.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -70, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,2653.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -55, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Self-emp-inc, Masters,14.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -36, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,56.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Federal-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -46, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -38, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,20.0, United-States,<=50K -31, Self-emp-not-inc, Doctorate,16.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,48.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Widowed, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -26, Federal-gov, Bachelors,13.0, Never-married, Tech-support, Not-in-family, Other, Male,0.0,0.0,60.0, United-States,<=50K -27, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -53, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,34.0, United-States,<=50K -34, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -64, Private, 10th,6.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Federal-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,99999.0,0.0,57.0, Canada,>50K -47, Local-gov, Masters,14.0, Divorced, Protective-serv, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,>50K -48, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,1902.0,40.0, China,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -37, Private, 11th,7.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -32, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,14.0, United-States,<=50K -64, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386.0,0.0,45.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -24, State-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -23, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,3942.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -34, Private, Masters,14.0, Divorced, Prof-specialty, Own-child, White, Female,0.0,0.0,60.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -58, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -35, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,30.0, Honduras,<=50K -46, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -71, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,11678.0,0.0,45.0, United-States,>50K -44, Private, 10th,6.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, 10th,6.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, 12th,8.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Cuba,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, China,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -59, State-gov, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,37.0, United-States,<=50K -44, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -76, Private, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -50, Local-gov, 10th,6.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,5178.0,0.0,40.0, United-States,>50K -37, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -49, Self-emp-not-inc, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -49, Private, HS-grad,9.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,625.0,40.0, Puerto-Rico,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, England,<=50K -36, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, State-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Local-gov, HS-grad,9.0, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Italy,>50K -55, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -33, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,35.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -23, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,65.0, United-States,<=50K -55, Self-emp-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,50.0, Germany,<=50K -43, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -62, State-gov, Assoc-acdm,12.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,8.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,52.0, United-States,>50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -79, Self-emp-inc, 12th,8.0, Widowed, Sales, Not-in-family, White, Male,18481.0,0.0,45.0, United-States,>50K -61, Private, 7th-8th,4.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -28, Self-emp-not-inc, 7th-8th,4.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,99.0, Mexico,<=50K -60, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -51, Self-emp-inc, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,81.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Local-gov, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -32, Private, 7th-8th,4.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -27, Private, Masters,14.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,30.0, United-States,<=50K -40, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,2258.0,45.0, United-States,>50K -52, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -48, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -62, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,5.0, United-States,<=50K -40, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,2.0, United-States,<=50K -28, Private, 5th-6th,3.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, Mexico,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -50, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -51, State-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -63, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -63, Federal-gov, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -40, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,15.0, Cuba,>50K -20, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -57, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,65.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, Germany,<=50K -65, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -57, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,45.0, United-States,>50K -59, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,26.0, United-States,<=50K -44, Local-gov, 12th,8.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -59, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, State-gov, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, Black, Male,0.0,0.0,90.0, United-States,<=50K -68, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,20051.0,0.0,40.0, United-States,>50K -63, Private, 11th,7.0, Widowed, Sales, Not-in-family, White, Female,2176.0,0.0,30.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,57.0, United-States,<=50K -46, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,1876.0,60.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, Poland,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1672.0,44.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,45.0, United-States,>50K -24, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -31, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -42, Private, 5th-6th,3.0, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0.0,0.0,35.0, Mexico,<=50K -48, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -56, Private, Some-college,10.0, Separated, Tech-support, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Black, Male,0.0,1719.0,25.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -28, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -62, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -24, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Assoc-acdm,12.0, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female,0.0,0.0,35.0, Poland,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Local-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, Cuba,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,>50K -69, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -54, Private, HS-grad,9.0, Widowed, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Male,0.0,0.0,40.0, Ecuador,<=50K -27, Local-gov, Assoc-voc,11.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,45.0, United-States,>50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -33, State-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,60.0, Canada,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,70.0, United-States,>50K -51, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,2057.0,60.0, Canada,<=50K -26, Private, Some-college,10.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,50.0, Hungary,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -44, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, 9th,5.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, Canada,>50K -62, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -27, Private, 11th,7.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, Germany,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, Private, Some-college,10.0, Separated, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,30.0, United-States,<=50K -24, Private, 12th,8.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 1st-4th,2.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,24.0, Mexico,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,48.0, United-States,>50K -42, Local-gov, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298.0,0.0,43.0, United-States,>50K -37, Local-gov, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,42.0, United-States,<=50K -37, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -66, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Assoc-voc,11.0, Separated, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, HS-grad,9.0, Widowed, Exec-managerial, Unmarried, White, Male,0.0,0.0,38.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -42, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,60.0, Italy,>50K -39, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -69, Self-emp-not-inc, Some-college,10.0, Widowed, Farming-fishing, Not-in-family, White, Female,0.0,0.0,14.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, Black, Male,0.0,0.0,48.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -42, Private, Doctorate,16.0, Married-spouse-absent, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -35, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -42, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,44.0, United-States,>50K -41, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, 1st-4th,2.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,2062.0,0.0,34.0, Ecuador,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Separated, Farming-fishing, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -60, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -38, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1669.0,55.0, United-States,<=50K -21, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -49, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, Black, Female,27828.0,0.0,60.0, United-States,>50K -43, Private, 5th-6th,3.0, Divorced, Priv-house-serv, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,25.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Wife, White, Female,5178.0,0.0,35.0, United-States,>50K -38, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,29.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,35.0, Jamaica,<=50K -38, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -54, Self-emp-not-inc, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Male,0.0,2001.0,35.0, United-States,<=50K -57, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -44, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, Taiwan,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Female,0.0,2205.0,40.0, United-States,<=50K -25, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,8.0, Italy,<=50K -54, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -60, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -66, Local-gov, 7th-8th,4.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Married-spouse-absent, Transport-moving, Other-relative, Asian-Pac-Islander, Male,0.0,1564.0,50.0, India,>50K -29, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,2202.0,0.0,40.0, Taiwan,<=50K -25, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -49, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -57, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -57, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -37, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -43, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Separated, Prof-specialty, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0.0,0.0,36.0, Mexico,<=50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, Iran,<=50K -40, Local-gov, Bachelors,13.0, Divorced, Tech-support, Not-in-family, White, Female,8614.0,0.0,40.0, England,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -28, Private, 12th,8.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 7th-8th,4.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,15.0, United-States,<=50K -25, Private, 12th,8.0, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0.0,0.0,60.0, Mexico,<=50K -49, State-gov, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -36, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -41, Private, 5th-6th,3.0, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,32.0, Mexico,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,1602.0,12.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -31, State-gov, 12th,8.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -18, State-gov, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,8.0, United-States,<=50K -68, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -36, Local-gov, Some-college,10.0, Never-married, Exec-managerial, Unmarried, Black, Female,0.0,0.0,48.0, United-States,<=50K -44, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, 12th,8.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, Vietnam,<=50K -55, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2603.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,2202.0,0.0,44.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -57, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -58, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Other-relative, White, Male,0.0,0.0,16.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -58, Private, HS-grad,9.0, Widowed, Craft-repair, Unmarried, White, Male,8614.0,0.0,52.0, Mexico,>50K -50, Private, 5th-6th,3.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,37.0, Cuba,<=50K -31, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 10th,6.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -26, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -33, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, State-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, Mexico,<=50K -26, Private, Bachelors,13.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -48, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -37, Private, Prof-school,15.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Other-relative, Other, Female,0.0,0.0,38.0, Ecuador,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,51.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, Cuba,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -53, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -71, Private, HS-grad,9.0, Widowed, Sales, Other-relative, White, Female,0.0,0.0,16.0, United-States,<=50K -38, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,36.0, Mexico,<=50K -39, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Private, 5th-6th,3.0, Divorced, Farming-fishing, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -56, Private, 10th,6.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,36.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,42.0, United-States,<=50K -58, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,1848.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,32.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -28, State-gov, Some-college,10.0, Separated, Exec-managerial, Own-child, White, Male,0.0,2339.0,40.0, United-States,<=50K -57, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -27, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, HS-grad,9.0, Separated, Sales, Unmarried, Black, Female,0.0,0.0,17.0, United-States,<=50K -68, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051.0,0.0,40.0, United-States,>50K -33, Self-emp-inc, HS-grad,9.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,18.0, United-States,<=50K -26, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, Black, Male,0.0,0.0,38.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,50.0, United-States,>50K -60, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -28, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,1669.0,45.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,65.0, United-States,>50K -21, Private, 11th,7.0, Married-spouse-absent, Handlers-cleaners, Own-child, White, Male,0.0,1762.0,40.0, Dominican-Republic,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -47, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Machine-op-inspct, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -59, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,38.0, El-Salvador,<=50K -33, Private, 10th,6.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, England,<=50K -53, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0.0,0.0,50.0, South,<=50K -44, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3411.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -54, Self-emp-not-inc, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,2463.0,0.0,38.0, United-States,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -43, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -26, State-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -30, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2580.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,8614.0,0.0,40.0, United-States,>50K -25, Self-emp-not-inc, HS-grad,9.0, Separated, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -30, Federal-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,7298.0,0.0,40.0, United-States,>50K -47, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,48.0, United-States,>50K -66, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,5556.0,0.0,26.0, United-States,>50K -43, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1848.0,55.0, United-States,>50K -44, Local-gov, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,15.0, United-States,<=50K -42, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1977.0,45.0, Philippines,>50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -60, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -45, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -63, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -33, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,33.0, Mexico,<=50K -64, Private, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -50, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Self-emp-not-inc, Assoc-voc,11.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,<=50K -53, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -33, Local-gov, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Federal-gov, 12th,8.0, Married-civ-spouse, Armed-Forces, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -80, Self-emp-not-inc, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -53, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, Mexico,>50K -23, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -52, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -52, Private, 5th-6th,3.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -40, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-inc, 7th-8th,4.0, Never-married, Craft-repair, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -55, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -71, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,17.0, United-States,<=50K -47, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -17, Self-emp-inc, 10th,6.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -40, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,1602.0,30.0, United-States,<=50K -17, Private, 9th,5.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -33, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -72, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -34, Federal-gov, Some-college,10.0, Married-AF-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -65, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, Cambodia,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,48.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, Italy,>50K -34, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,28.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,30.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -29, Federal-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Local-gov, Assoc-voc,11.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,32.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,<=50K -72, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -45, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,20.0, United-States,<=50K -30, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Male,4416.0,0.0,60.0, United-States,<=50K -25, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, Guatemala,<=50K -25, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -31, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, Canada,>50K -46, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -44, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,1617.0,20.0, United-States,<=50K -44, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,60.0, United-States,<=50K -28, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -42, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -64, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -45, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, 9th,5.0, Separated, Other-service, Unmarried, Other, Female,0.0,0.0,40.0, Mexico,<=50K -33, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,99999.0,0.0,35.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,51.0, United-States,>50K -40, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, England,<=50K -46, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,1980.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Prof-school,15.0, Never-married, Prof-specialty, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Some-college,10.0, Divorced, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -79, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,45.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -23, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1573.0,30.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -46, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -58, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,60.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -41, State-gov, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Female,14344.0,0.0,40.0, United-States,>50K -49, Federal-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,35.0, Peru,<=50K -63, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -42, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Taiwan,>50K -44, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,37.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -22, Local-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,35.0, Haiti,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -49, Private, 11th,7.0, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -41, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Separated, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Federal-gov, Some-college,10.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Local-gov, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -71, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Self-emp-not-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -49, Private, HS-grad,9.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,653.0,60.0, United-States,<=50K -48, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,1617.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-spouse-absent, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Private, Prof-school,15.0, Married-civ-spouse, Sales, Wife, Amer-Indian-Eskimo, Female,15024.0,0.0,40.0, South,>50K -52, State-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Private, HS-grad,9.0, Divorced, Adm-clerical, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,39.0, United-States,<=50K -52, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Cuba,>50K -67, Local-gov, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, Black, Male,0.0,0.0,20.0, United-States,<=50K -31, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,50.0, United-States,>50K -30, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -53, State-gov, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -43, State-gov, HS-grad,9.0, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Assoc-voc,11.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -34, Private, Some-college,10.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,58.0, United-States,<=50K -53, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Taiwan,<=50K -55, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,41.0, United-States,<=50K -58, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,24.0, United-States,>50K -74, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051.0,0.0,25.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Yugoslavia,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,0.0,55.0, United-States,>50K -29, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -61, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -29, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Wife, Other, Female,7688.0,0.0,45.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,38.0, United-States,<=50K -28, Private, 9th,5.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,3908.0,0.0,27.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -27, Local-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Female,0.0,0.0,40.0, United-States,>50K -45, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -80, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -23, State-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -72, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, England,<=50K -65, Private, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, 10th,6.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -54, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2829.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,53.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Local-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,65.0, United-States,<=50K -32, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, Mexico,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -27, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,36.0, United-States,<=50K -33, Private, 5th-6th,3.0, Divorced, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -18, Self-emp-not-inc, 10th,6.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, 7th-8th,4.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,7688.0,0.0,40.0, United-States,>50K -42, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,99999.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,15.0, United-States,<=50K -43, Self-emp-inc, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,5455.0,0.0,50.0, United-States,<=50K -34, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -49, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Transport-moving, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -22, Federal-gov, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,37.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,625.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -39, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -68, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Other, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Other-relative, White, Female,0.0,0.0,24.0, Italy,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, State-gov, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, State-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,36.0, United-States,<=50K -34, Private, 10th,6.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -44, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -45, Private, HS-grad,9.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -43, Private, HS-grad,9.0, Separated, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,45.0, United-States,<=50K -50, Private, Doctorate,16.0, Divorced, Prof-specialty, Other-relative, White, Male,10520.0,0.0,50.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, El-Salvador,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -74, Self-emp-not-inc, Prof-school,15.0, Divorced, Prof-specialty, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -70, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,2653.0,0.0,70.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,46.0, United-States,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Local-gov, Assoc-voc,11.0, Divorced, Protective-serv, Unmarried, White, Male,0.0,0.0,56.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,1602.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -39, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -33, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,70.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1485.0,40.0, United-States,<=50K -52, State-gov, Bachelors,13.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -33, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, United-States,>50K -51, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -17, Local-gov, 11th,7.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -19, Self-emp-inc, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -54, Private, 11th,7.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -47, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1672.0,98.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-inc, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,38.0, United-States,>50K -24, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -46, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -47, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -90, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -41, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, Japan,>50K -24, Private, Preschool,1.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,36.0, Mexico,<=50K -24, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,53.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,1887.0,42.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,1721.0,30.0, United-States,<=50K -39, Private, 9th,5.0, Separated, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, Mexico,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,35.0, United-States,<=50K -34, Self-emp-inc, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,4787.0,0.0,45.0, France,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Cuba,>50K -37, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,38.0, Puerto-Rico,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -58, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, Mexico,<=50K -33, Federal-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, White, Female,4064.0,0.0,40.0, United-States,<=50K -42, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -57, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Federal-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, Italy,>50K -39, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, Assoc-acdm,12.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,13.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, 10th,6.0, Separated, Transport-moving, Unmarried, Black, Male,0.0,0.0,45.0, United-States,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -50, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, South,>50K -70, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, Black, Male,4787.0,0.0,48.0, United-States,>50K -51, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,25.0, United-States,>50K -57, Self-emp-inc, HS-grad,9.0, Separated, Farming-fishing, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -29, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Own-child, Other, Male,0.0,0.0,43.0, United-States,>50K -74, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -50, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Private, HS-grad,9.0, Divorced, Other-service, Other-relative, White, Female,0.0,0.0,14.0, United-States,<=50K -44, Private, 11th,7.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386.0,0.0,50.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -32, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, Ireland,>50K -28, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -29, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,35.0, Nicaragua,>50K -28, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,594.0,0.0,50.0, Germany,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -60, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,2829.0,0.0,30.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,48.0, United-States,>50K -48, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -50, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, Germany,>50K -62, Private, 9th,5.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Local-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -25, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Guatemala,<=50K -49, Private, 11th,7.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -32, State-gov, Some-college,10.0, Never-married, Protective-serv, Unmarried, Black, Female,3887.0,0.0,40.0, United-States,<=50K -25, Federal-gov, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Divorced, Other-service, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, South,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -33, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -33, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, 11th,7.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -70, Private, 7th-8th,4.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,42.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,35.0, United-States,<=50K -71, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051.0,0.0,40.0, United-States,>50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -52, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,9.0, United-States,<=50K -48, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -32, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,56.0, United-States,>50K -59, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -53, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,5178.0,0.0,40.0, Puerto-Rico,>50K -44, Private, 9th,5.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,55.0, Japan,>50K -36, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -67, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,20051.0,0.0,30.0, England,>50K -29, Private, Bachelors,13.0, Never-married, Sales, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1628.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, Black, Female,0.0,0.0,30.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -54, Federal-gov, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Other, Male,0.0,0.0,30.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-inc, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -26, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,20.0, India,<=50K -68, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, Canada,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -64, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Bachelors,13.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,47.0, United-States,<=50K -73, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -58, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, Other, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 9th,5.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,55.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -43, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -37, Private, 9th,5.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,30.0, El-Salvador,<=50K -31, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -56, Self-emp-inc, 12th,8.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1651.0,40.0, United-States,<=50K -25, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,25.0, United-States,<=50K -37, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,68.0, United-States,<=50K -60, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Federal-gov, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,1408.0,50.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,4386.0,0.0,40.0, United-States,>50K -33, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,99.0, United-States,<=50K -23, State-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,25.0, Nicaragua,<=50K -60, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -44, Private, 10th,6.0, Never-married, Sales, Unmarried, Other, Female,0.0,0.0,35.0, Dominican-Republic,<=50K -18, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,1055.0,0.0,25.0, United-States,<=50K -52, Federal-gov, 12th,8.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, Bachelors,13.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,55.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3781.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Separated, Adm-clerical, Own-child, Black, Female,0.0,0.0,50.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -63, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -63, Self-emp-not-inc, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -43, Private, HS-grad,9.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -58, Private, 11th,7.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,14344.0,0.0,40.0, United-States,>50K -42, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -20, Local-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, 9th,5.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,1506.0,0.0,50.0, United-States,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -19, Private, 12th,8.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -36, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -45, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -48, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Sales, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -58, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,4.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Federal-gov, Some-college,10.0, Never-married, Armed-Forces, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -48, Private, 5th-6th,3.0, Divorced, Machine-op-inspct, Unmarried, Other, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -32, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -66, Local-gov, Masters,14.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -39, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,55.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,84.0, Japan,>50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,2001.0,50.0, United-States,<=50K -29, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178.0,0.0,44.0, United-States,>50K -34, Self-emp-not-inc, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Local-gov, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,39.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,4650.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,3103.0,0.0,42.0, United-States,>50K -44, Federal-gov, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, Black, Female,0.0,0.0,60.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -45, Local-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -31, Local-gov, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,64.0, United-States,<=50K -45, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -70, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2246.0,8.0, United-States,>50K -22, Private, 9th,5.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -43, Self-emp-not-inc, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -37, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -59, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -51, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,2885.0,0.0,65.0, Japan,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -73, Local-gov, 5th-6th,3.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,6.0, United-States,<=50K -32, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -45, Private, 12th,8.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -55, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -34, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Other-relative, Black, Male,0.0,0.0,15.0, United-States,<=50K -26, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -73, Federal-gov, Some-college,10.0, Widowed, Tech-support, Not-in-family, White, Female,3273.0,0.0,40.0, United-States,<=50K -27, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -37, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,84.0, United-States,<=50K -73, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -36, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -49, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -68, Local-gov, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1590.0,50.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -32, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -90, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,6767.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Mexico,<=50K -27, Private, Bachelors,13.0, Separated, Tech-support, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -58, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -37, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -45, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -69, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -58, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -53, Federal-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -44, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Divorced, Machine-op-inspct, Unmarried, Other, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Federal-gov, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, 9th,5.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,625.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Self-emp-inc, 10th,6.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -54, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Sales, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -36, Private, 5th-6th,3.0, Separated, Priv-house-serv, Unmarried, Other, Female,0.0,0.0,35.0, Mexico,<=50K -26, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 9th,5.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Federal-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Self-emp-inc, Masters,14.0, Divorced, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,50.0, United-States,<=50K -22, Federal-gov, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,43.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -46, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Federal-gov, HS-grad,9.0, Married-civ-spouse, Armed-Forces, Other-relative, Amer-Indian-Eskimo, Male,0.0,0.0,48.0, United-States,<=50K -31, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,3674.0,0.0,45.0, United-States,<=50K -45, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -30, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, 9th,5.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,35.0, Mexico,<=50K -44, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,1408.0,46.0, United-States,<=50K -54, Private, 11th,7.0, Divorced, Craft-repair, Own-child, White, Female,0.0,0.0,50.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -47, Local-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,37.0, United-States,<=50K -32, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,60.0, United-States,<=50K -21, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, Mexico,<=50K -51, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, Columbia,<=50K -55, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,30.0, United-States,<=50K -28, Local-gov, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,36.0, United-States,<=50K -68, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,3818.0,0.0,40.0, United-States,<=50K -46, Private, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,2824.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,37.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -17, Private, 10th,6.0, Married-civ-spouse, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -23, Local-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Male,0.0,0.0,15.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -56, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,1590.0,40.0, Japan,<=50K -41, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -26, Private, 10th,6.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -41, Private, 11th,7.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -47, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -58, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,30.0, United-States,>50K -25, Private, Assoc-acdm,12.0, Divorced, Tech-support, Own-child, White, Female,0.0,1594.0,25.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -33, Private, 7th-8th,4.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,2176.0,0.0,35.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,84.0, United-States,>50K -50, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -36, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -90, Private, Masters,14.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Separated, Other-service, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,4.0, United-States,<=50K -19, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2290.0,0.0,30.0, Hungary,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -34, Self-emp-not-inc, 7th-8th,4.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, State-gov, Assoc-acdm,12.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -73, Private, Assoc-voc,11.0, Widowed, Prof-specialty, Not-in-family, White, Male,25124.0,0.0,60.0, United-States,>50K -35, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2377.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, Bachelors,13.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,1564.0,51.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -36, Private, 1st-4th,2.0, Widowed, Other-service, Other-relative, White, Female,0.0,0.0,20.0, Mexico,<=50K -25, Local-gov, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, 11th,7.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -36, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,4787.0,0.0,45.0, United-States,>50K -53, Local-gov, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, State-gov, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Local-gov, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -33, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Sales, Other-relative, Black, Female,0.0,0.0,32.0, Dominican-Republic,<=50K -52, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,3137.0,0.0,30.0, United-States,<=50K -37, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,36.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0.0,0.0,99.0, United-States,<=50K -43, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, Jamaica,>50K -53, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,20.0, Philippines,<=50K -59, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -36, Federal-gov, Some-college,10.0, Separated, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-AF-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -48, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Some-college,10.0, Separated, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,10.0, United-States,>50K -44, Private, HS-grad,9.0, Married-spouse-absent, Transport-moving, Not-in-family, Other, Male,0.0,0.0,32.0, Canada,<=50K -30, Private, Assoc-voc,11.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -68, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -48, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,47.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -41, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1485.0,50.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -31, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -54, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -31, Self-emp-not-inc, Masters,14.0, Separated, Tech-support, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -31, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, State-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, 10th,6.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,25.0, Mexico,<=50K -34, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,18.0, United-States,<=50K -56, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Canada,<=50K -47, Private, HS-grad,9.0, Separated, Prof-specialty, Other-relative, Other, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -25, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Columbia,<=50K -43, Local-gov, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,37.0, United-States,>50K -63, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -32, Private, Some-college,10.0, Married-spouse-absent, Transport-moving, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -43, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,52.0, United-States,<=50K -21, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -44, Federal-gov, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,60.0, United-States,>50K -40, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -65, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -51, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -44, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,13.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -43, Private, 10th,6.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -50, State-gov, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -52, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,14084.0,0.0,45.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Philippines,>50K -31, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -45, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,3.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,4416.0,0.0,30.0, United-States,<=50K -27, Private, 11th,7.0, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,35.0, India,<=50K -37, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,13550.0,0.0,48.0, United-States,>50K -24, Private, 1st-4th,2.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,55.0, Mexico,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -62, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -24, Private, Bachelors,13.0, Separated, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Private, Bachelors,13.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,2559.0,48.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -45, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -26, Local-gov, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,30.0, United-States,<=50K -68, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,20051.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Divorced, Protective-serv, Own-child, White, Female,0.0,1762.0,40.0, United-States,<=50K -31, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -55, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -58, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -56, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -35, Local-gov, HS-grad,9.0, Divorced, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0.0,0.0,56.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,10.0, United-States,<=50K -21, Private, 10th,6.0, Never-married, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -56, Private, 12th,8.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Not-in-family, Other, Female,0.0,0.0,40.0, Mexico,<=50K -20, Federal-gov, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,1797.0,0.0,21.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Local-gov, 10th,6.0, Never-married, Transport-moving, Other-relative, White, Male,0.0,1741.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -37, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,5.0, United-States,>50K -52, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,37.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,>50K -61, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, 12th,8.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -21, State-gov, Assoc-acdm,12.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,33.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,35.0, South,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0.0,0.0,8.0, Philippines,<=50K -44, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -81, State-gov, 1st-4th,2.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -38, Private, 10th,6.0, Divorced, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Portugal,<=50K -21, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -28, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,99.0, United-States,<=50K -56, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,2907.0,0.0,52.0, Cuba,<=50K -42, State-gov, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, Scotland,<=50K -58, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -19, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -41, Self-emp-not-inc, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -31, Private, 7th-8th,4.0, Separated, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -53, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -56, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -55, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -51, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -62, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Local-gov, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -60, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -23, Federal-gov, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -61, Local-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,99999.0,0.0,30.0, United-States,>50K -76, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,39.0, United-States,<=50K -31, Self-emp-not-inc, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -58, Federal-gov, Some-college,10.0, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 12th,8.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Exec-managerial, Other-relative, White, Female,0.0,0.0,45.0, United-States,<=50K -41, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Other-relative, White, Male,0.0,0.0,7.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,20.0, Vietnam,<=50K -40, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,35.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, Canada,<=50K -62, Local-gov, Doctorate,16.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, Iran,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, Other, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -23, Private, Assoc-acdm,12.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -41, Private, Some-college,10.0, Married-spouse-absent, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -71, Self-emp-not-inc, 1st-4th,2.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -25, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -73, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,16.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Ecuador,<=50K -44, Local-gov, Assoc-voc,11.0, Divorced, Protective-serv, Own-child, White, Female,0.0,0.0,40.0, Cuba,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,45.0, United-States,>50K -44, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -42, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -66, Private, HS-grad,9.0, Widowed, Tech-support, Not-in-family, White, Female,0.0,0.0,18.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -46, Private, Assoc-voc,11.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -59, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,52.0, Outlying-US(Guam-USVI-etc),<=50K -58, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,60.0, United-States,>50K -47, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -37, Private, HS-grad,9.0, Separated, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, 11th,7.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,2824.0,76.0, United-States,>50K -59, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,99.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Local-gov, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Female,10520.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Local-gov, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -32, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,38.0, Mexico,<=50K -47, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 10th,6.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,92.0, United-States,<=50K -23, Local-gov, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -42, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1848.0,45.0, United-States,>50K -45, Federal-gov, HS-grad,9.0, Never-married, Transport-moving, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -52, State-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Doctorate,16.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -83, Self-emp-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -51, Local-gov, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,54.0, Mexico,<=50K -28, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, Germany,>50K -29, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, Canada,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-spouse-absent, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -23, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -66, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,15.0, United-States,>50K -27, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Wife, Black, Female,15024.0,0.0,40.0, United-States,>50K -64, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -62, Self-emp-inc, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Taiwan,<=50K -52, Local-gov, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, Other, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -46, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,1055.0,0.0,32.0, United-States,<=50K -18, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,1721.0,15.0, United-States,<=50K -90, Private, Some-college,10.0, Divorced, Sales, Unmarried, Black, Female,0.0,0.0,37.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -69, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Federal-gov, Assoc-acdm,12.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,54.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -30, Local-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, Black, Male,0.0,1974.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,914.0,0.0,40.0, United-States,<=50K -73, Private, HS-grad,9.0, Widowed, Other-service, Other-relative, White, Female,0.0,0.0,32.0, United-States,<=50K -25, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -33, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3411.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, State-gov, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,48.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -27, Self-emp-inc, Some-college,10.0, Separated, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,1602.0,18.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -18, State-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,8.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -54, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -50, Local-gov, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -40, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,50.0, Haiti,<=50K -60, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464.0,0.0,50.0, United-States,<=50K -53, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Priv-house-serv, Other-relative, White, Female,0.0,0.0,10.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,3325.0,0.0,45.0, United-States,<=50K -67, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386.0,0.0,50.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,20.0, United-States,<=50K -45, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -53, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,28.0, Guatemala,<=50K -32, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,14084.0,0.0,30.0, United-States,>50K -59, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -46, State-gov, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -48, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -50, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -51, Private, HS-grad,9.0, Separated, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Protective-serv, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -70, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,3.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,10605.0,0.0,60.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 9th,5.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Federal-gov, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Some-college,10.0, Separated, Protective-serv, Own-child, Other, Male,0.0,0.0,52.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 11th,7.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -35, Local-gov, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1740.0,45.0, United-States,<=50K -42, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, State-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -45, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,594.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -39, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,60.0, Iran,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -68, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -60, Federal-gov, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Male,4934.0,0.0,40.0, United-States,>50K -41, Private, 12th,8.0, Separated, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -26, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -55, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2415.0,50.0, United-States,>50K -35, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,55.0, United-States,>50K -46, State-gov, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -62, Local-gov, HS-grad,9.0, Divorced, Transport-moving, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298.0,0.0,40.0, United-States,>50K -26, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Married-spouse-absent, Sales, Own-child, Black, Female,0.0,0.0,36.0, United-States,<=50K -25, Self-emp-not-inc, HS-grad,9.0, Never-married, Sales, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,45.0, United-States,>50K -59, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Italy,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -67, Self-emp-not-inc, Masters,14.0, Widowed, Prof-specialty, Not-in-family, White, Male,18481.0,0.0,2.0, United-States,>50K -60, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,8614.0,0.0,48.0, United-States,>50K -39, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -32, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1887.0,60.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, 11th,7.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,52.0, United-States,<=50K -43, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -33, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,60.0, United-States,>50K -45, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -63, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,68.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,24.0, United-States,>50K -45, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -53, Self-emp-not-inc, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -58, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -44, Local-gov, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -40, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -58, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -62, Private, 9th,5.0, Never-married, Priv-house-serv, Not-in-family, Black, Female,1055.0,0.0,22.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3464.0,0.0,38.0, United-States,<=50K -31, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -30, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1876.0,45.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -38, Local-gov, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,1876.0,40.0, Canada,<=50K -58, Local-gov, 12th,8.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,4650.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,70.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,99.0, United-States,<=50K -61, Self-emp-inc, Some-college,10.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -30, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,58.0, United-States,<=50K -47, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,33.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -46, Private, 1st-4th,2.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, Mexico,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -30, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -43, Local-gov, Some-college,10.0, Divorced, Protective-serv, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -44, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,24.0, United-States,>50K -26, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,80.0, United-States,>50K -48, Self-emp-not-inc, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Local-gov, Assoc-acdm,12.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,2.0, United-States,<=50K -41, Private, 9th,5.0, Never-married, Priv-house-serv, Unmarried, White, Female,0.0,0.0,40.0, Columbia,<=50K -38, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, Masters,14.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -49, Private, 10th,6.0, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -22, Private, Assoc-acdm,12.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -36, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -30, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,48.0, Cuba,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,90.0, United-States,<=50K -48, Local-gov, Assoc-voc,11.0, Never-married, Protective-serv, Unmarried, White, Male,0.0,0.0,48.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2377.0,40.0, United-States,<=50K -37, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Self-emp-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,55.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,12.0, United-States,<=50K -31, Self-emp-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Private, HS-grad,9.0, Widowed, Craft-repair, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -31, Private, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298.0,0.0,30.0, United-States,>50K -45, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,51.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,10.0, El-Salvador,<=50K -38, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -63, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -41, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -59, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -46, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -46, Self-emp-not-inc, Some-college,10.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,56.0, Puerto-Rico,<=50K -46, Federal-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1887.0,30.0, United-States,>50K -32, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -90, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Other, Female,0.0,0.0,30.0, Mexico,>50K -81, Self-emp-inc, 10th,6.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,2936.0,0.0,28.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,12.0, United-States,<=50K -56, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Federal-gov, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0.0,0.0,35.0, Philippines,>50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,24.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,30.0, United-States,<=50K -29, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -48, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0.0,1651.0,40.0, Vietnam,<=50K -45, Private, Some-college,10.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -80, Local-gov, HS-grad,9.0, Widowed, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,32.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -47, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -25, Local-gov, Bachelors,13.0, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,<=50K -31, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -30, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,2258.0,50.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Other, Male,0.0,0.0,32.0, United-States,<=50K -32, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,30.0, Philippines,<=50K -21, Local-gov, 12th,8.0, Never-married, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,48.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -37, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -71, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,5.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -38, Private, 10th,6.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,13550.0,0.0,40.0, United-States,>50K -43, Private, 11th,7.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -36, Federal-gov, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Male,13550.0,0.0,40.0, United-States,>50K -24, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, 10th,6.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -43, Local-gov, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -47, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,57.0, United-States,>50K -38, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,6497.0,0.0,35.0, United-States,<=50K -60, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,25.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,25.0, United-States,<=50K -55, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Separated, Sales, Other-relative, Black, Female,0.0,0.0,35.0, United-States,<=50K -53, Self-emp-not-inc, 1st-4th,2.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,67.0, Italy,>50K -44, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,4386.0,0.0,40.0, United-States,>50K -28, Federal-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Local-gov, Some-college,10.0, Never-married, Transport-moving, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, HS-grad,9.0, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -43, State-gov, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Local-gov, Assoc-voc,11.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,56.0, United-States,<=50K -64, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, Canada,<=50K -41, Local-gov, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -27, Private, 11th,7.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -20, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1876.0,40.0, United-States,<=50K -28, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Bachelors,13.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688.0,0.0,20.0, United-States,>50K -40, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Assoc-voc,11.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Separated, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,30.0, Guatemala,<=50K -51, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,37.0, United-States,<=50K -35, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 7th-8th,4.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,1408.0,36.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Machine-op-inspct, Other-relative, White, Female,0.0,2205.0,40.0, Holand-Netherlands,<=50K -22, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -18, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,45.0, United-States,<=50K -46, Private, HS-grad,9.0, Never-married, Tech-support, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,48.0, United-States,>50K -59, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -40, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -18, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, State-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,39.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, 11th,7.0, Divorced, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Some-college,10.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, 10th,6.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -47, Federal-gov, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -28, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,24.0, Nicaragua,<=50K -25, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,65.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,1876.0,75.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, 10th,6.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -53, Self-emp-inc, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,419.0,12.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2051.0,57.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Other-relative, White, Male,0.0,2444.0,50.0, United-States,>50K -33, Private, Masters,14.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Other-service, Other-relative, White, Male,0.0,0.0,30.0, United-States,<=50K -23, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,32.0, United-States,<=50K -23, Self-emp-not-inc, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -53, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -69, Private, HS-grad,9.0, Widowed, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Separated, Tech-support, Not-in-family, White, Male,0.0,0.0,46.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -28, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -39, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -80, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -38, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -52, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -26, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Black, Male,0.0,0.0,38.0, England,<=50K -43, Private, HS-grad,9.0, Divorced, Other-service, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, South,<=50K -45, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -41, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2407.0,0.0,40.0, United-States,<=50K -43, Local-gov, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -54, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,2258.0,40.0, United-States,>50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -38, Private, Some-college,10.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, Germany,<=50K -41, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -66, Self-emp-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, Self-emp-not-inc, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,10.0, United-States,<=50K -24, Local-gov, 10th,6.0, Never-married, Craft-repair, Unmarried, Black, Male,0.0,0.0,65.0, Haiti,<=50K -61, Private, 11th,7.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -35, Local-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,44.0, Cuba,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Masters,14.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,3103.0,0.0,60.0, United-States,>50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,55.0, United-States,<=50K -40, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Federal-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,99.0, United-States,<=50K -24, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,56.0, United-States,<=50K -58, Federal-gov, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, White, Male,4787.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,27828.0,0.0,48.0, United-States,>50K -48, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -40, Private, 7th-8th,4.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -50, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7688.0,0.0,50.0, Japan,>50K -57, Private, HS-grad,9.0, Separated, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,35.0, United-States,<=50K -36, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -90, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Private, 7th-8th,4.0, Widowed, Other-service, Not-in-family, Black, Female,0.0,0.0,10.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Wife, White, Female,0.0,2179.0,12.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0.0,0.0,1.0, Vietnam,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2407.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,>50K -32, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -34, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -29, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -33, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,48.0, United-States,>50K -52, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Local-gov, 11th,7.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -49, Private, 7th-8th,4.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -20, Private, 11th,7.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -64, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,3.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, Assoc-acdm,12.0, Married-spouse-absent, Adm-clerical, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -51, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -55, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -32, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -55, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,56.0, United-States,>50K -50, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,7688.0,0.0,45.0, United-States,>50K -32, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -60, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Bachelors,13.0, Widowed, Exec-managerial, Unmarried, White, Male,8614.0,0.0,40.0, United-States,>50K -45, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -26, Private, 12th,8.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -47, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Wife, White, Female,99999.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,42.0, United-States,>50K -46, Local-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1902.0,52.0, United-States,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, Black, Male,0.0,0.0,35.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Masters,14.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Masters,14.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -79, Private, 7th-8th,4.0, Widowed, Priv-house-serv, Not-in-family, White, Female,2964.0,0.0,30.0, United-States,<=50K -55, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,2597.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,1590.0,40.0, United-States,<=50K -20, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, Canada,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -24, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Protective-serv, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Not-in-family, Other, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -25, State-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -34, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, Some-college,10.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -60, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,65.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,2179.0,45.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,70.0, United-States,>50K -39, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,114.0,0.0,45.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,8614.0,0.0,40.0, United-States,>50K -52, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -77, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,20051.0,0.0,40.0, United-States,>50K -34, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -53, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -31, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -50, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -77, Private, 9th,5.0, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0.0,0.0,10.0, United-States,<=50K -37, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Sales, Unmarried, Black, Male,0.0,0.0,60.0, United-States,<=50K -53, Local-gov, HS-grad,9.0, Married-spouse-absent, Transport-moving, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,594.0,0.0,20.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -21, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,54.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, 10th,6.0, Separated, Sales, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -25, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -23, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -53, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,2179.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -70, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -40, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Masters,14.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,60.0, United-States,>50K -41, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, State-gov, HS-grad,9.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Exec-managerial, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,48.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -62, Private, Bachelors,13.0, Widowed, Tech-support, Unmarried, White, Female,0.0,0.0,7.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -31, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, Columbia,<=50K -58, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3908.0,0.0,40.0, United-States,<=50K -28, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -40, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -33, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,80.0, United-States,>50K -27, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,10.0, India,<=50K -55, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Male,0.0,0.0,25.0, United-States,<=50K -53, Private, HS-grad,9.0, Separated, Transport-moving, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, 12th,8.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,46.0, United-States,<=50K -66, Private, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Male,0.0,0.0,16.0, United-States,<=50K -34, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -39, Private, 10th,6.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-spouse-absent, Adm-clerical, Own-child, Other, Female,0.0,0.0,35.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Cuba,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,2206.0,5.0, United-States,<=50K -59, Local-gov, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,80.0, United-States,>50K -56, Self-emp-not-inc, Some-college,10.0, Married-spouse-absent, Farming-fishing, Not-in-family, White, Female,27828.0,0.0,20.0, United-States,>50K -34, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,2977.0,0.0,50.0, United-States,<=50K -63, Private, 10th,6.0, Widowed, Farming-fishing, Unmarried, White, Female,0.0,0.0,56.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Germany,<=50K -41, Federal-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -47, Private, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2179.0,52.0, United-States,<=50K -29, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -59, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -37, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Doctorate,16.0, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -34, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,38.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Hong,>50K -56, Private, 11th,7.0, Separated, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,43.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,0.0,50.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,60.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, Mexico,<=50K -44, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -30, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 12th,8.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, State-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -42, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -34, Private, 12th,8.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -63, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -41, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Other, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, 1st-4th,2.0, Never-married, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,65.0, United-States,<=50K -25, Self-emp-inc, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -35, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,15.0, United-States,<=50K -21, Private, Some-college,10.0, Married-spouse-absent, Sales, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -32, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -40, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -65, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -61, Self-emp-inc, Masters,14.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,99.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,28.0, United-States,<=50K -48, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, Black, Male,2174.0,0.0,75.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -65, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -24, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -58, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, Some-college,10.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, Germany,<=50K -54, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -35, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -38, Self-emp-not-inc, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -49, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -56, Private, Some-college,10.0, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 11th,7.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,12.0, United-States,<=50K -62, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Bachelors,13.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -65, Without-pay, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,2414.0,0.0,20.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -43, Local-gov, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Widowed, Handlers-cleaners, Other-relative, White, Female,0.0,0.0,48.0, United-States,<=50K -55, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4508.0,0.0,40.0, United-States,<=50K -59, Federal-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,10.0, United-States,<=50K -26, Private, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3411.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -63, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -27, State-gov, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,38.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -26, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -51, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Assoc-voc,11.0, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, Columbia,<=50K -35, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -65, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, 7th-8th,4.0, Never-married, Other-service, Own-child, White, Male,0.0,1602.0,35.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -64, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Never-married, Priv-house-serv, Not-in-family, White, Male,594.0,0.0,25.0, United-States,<=50K -47, Federal-gov, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, 12th,8.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Cuba,<=50K -49, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,18.0, United-States,<=50K -62, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,6.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -28, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,3908.0,0.0,40.0, United-States,<=50K -68, Local-gov, Masters,14.0, Widowed, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,>50K -40, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, 7th-8th,4.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, Bachelors,13.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -62, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,4787.0,0.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,68.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -48, Federal-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -39, Private, Prof-school,15.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -38, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Female,14344.0,0.0,40.0, United-States,>50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, 10th,6.0, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0.0,0.0,30.0, Japan,>50K -25, Private, 9th,5.0, Never-married, Transport-moving, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -47, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,14084.0,0.0,60.0, United-States,>50K -23, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Federal-gov, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -55, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,25.0, United-States,<=50K -23, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,7298.0,0.0,40.0, United-States,>50K -42, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1485.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -46, Private, Assoc-voc,11.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, State-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Germany,<=50K -18, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -42, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -52, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -53, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -60, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -64, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, 1st-4th,2.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,25.0, El-Salvador,<=50K -63, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,<=50K -54, Local-gov, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, Poland,<=50K -63, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,41310.0,0.0,50.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -54, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, 10th,6.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -25, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, 10th,6.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Private, HS-grad,9.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,57.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,34.0, United-States,<=50K -36, State-gov, Some-college,10.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0.0,0.0,50.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -40, Self-emp-inc, Assoc-acdm,12.0, Divorced, Sales, Unmarried, White, Female,1506.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,1504.0,37.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,1902.0,36.0, United-States,>50K -37, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -53, Self-emp-not-inc, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -34, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Sales, Unmarried, Black, Male,5455.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,2001.0,40.0, United-States,<=50K -33, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -45, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -41, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1579.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -52, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,>50K -32, State-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -24, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,2597.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -54, Private, 10th,6.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -40, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Separated, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,50.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,8.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, 11th,7.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -65, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,2174.0,40.0, United-States,>50K -48, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Masters,14.0, Separated, Exec-managerial, Not-in-family, White, Male,27828.0,0.0,60.0, Iran,>50K -20, Private, 12th,8.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, State-gov, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Federal-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Wife, White, Female,7298.0,0.0,40.0, United-States,>50K -80, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -59, State-gov, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,50.0, United-States,>50K -56, Self-emp-not-inc, Some-college,10.0, Married-spouse-absent, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -69, Local-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,20.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -28, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -49, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Local-gov, HS-grad,9.0, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -66, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,13.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Separated, Craft-repair, Other-relative, White, Male,0.0,0.0,48.0, United-States,>50K -26, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,155.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, Some-college,10.0, Widowed, Sales, Other-relative, White, Female,0.0,0.0,45.0, United-States,<=50K -36, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,30.0, United-States,<=50K -43, Private, Some-college,10.0, Married-spouse-absent, Sales, Not-in-family, White, Male,0.0,0.0,45.0, Mexico,<=50K -39, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, England,>50K -48, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,36.0, Haiti,<=50K -50, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, State-gov, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,80.0, United-States,>50K -70, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -40, Private, 9th,5.0, Never-married, Craft-repair, Other-relative, Black, Male,0.0,0.0,49.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,1902.0,40.0, United-States,>50K -40, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,7688.0,0.0,52.0, Japan,>50K -47, Private, 11th,7.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,8.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,16.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,4787.0,0.0,25.0, United-States,>50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Prof-specialty, Own-child, Other, Female,0.0,0.0,15.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,1974.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -26, Self-emp-not-inc, HS-grad,9.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2002.0,60.0, United-States,<=50K -38, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, 10th,6.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Private, 7th-8th,4.0, Divorced, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-spouse-absent, Farming-fishing, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Federal-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, Masters,14.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,28.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,39.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,8.0, Cuba,<=50K -43, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Adm-clerical, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Masters,14.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,4386.0,0.0,45.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Local-gov, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Poland,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,60.0, United-States,<=50K -39, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -76, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, Jamaica,>50K -54, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, 7th-8th,4.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -37, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, England,>50K -63, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,2174.0,0.0,40.0, United-States,<=50K -35, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,60.0, Vietnam,<=50K -26, Self-emp-inc, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Local-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -47, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Scotland,>50K -51, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,50.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Other, Female,0.0,625.0,40.0, United-States,<=50K -40, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,30.0, United-States,>50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4064.0,0.0,50.0, United-States,<=50K -37, Local-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -40, Self-emp-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Self-emp-not-inc, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, White, Female,7430.0,0.0,44.0, United-States,>50K -47, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -58, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -35, Private, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -35, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,3674.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -38, Self-emp-not-inc, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -66, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, 11th,7.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -29, Private, 12th,8.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,42.0, England,<=50K -24, Private, HS-grad,9.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -42, Self-emp-not-inc, Some-college,10.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Separated, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, 5th-6th,3.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,48.0, Guatemala,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -60, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -49, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -70, Self-emp-inc, 9th,5.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Local-gov, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,55.0, United-States,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -54, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,3900.0,40.0, United-States,<=50K -42, Self-emp-inc, Masters,14.0, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0.0,2201.0,60.0, India,>50K -28, Private, 10th,6.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0.0,0.0,35.0, Ireland,<=50K -82, Private, 5th-6th,3.0, Widowed, Other-service, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -48, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,15024.0,0.0,40.0, Japan,>50K -68, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Female,6360.0,0.0,20.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,2001.0,37.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -17, Private, 9th,5.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,30.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,24.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,1721.0,25.0, United-States,<=50K -63, Private, Preschool,1.0, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0.0,0.0,30.0, Mexico,<=50K -44, Private, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -30, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,60.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,25.0, Jamaica,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -34, State-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,4386.0,0.0,40.0, United-States,>50K -37, Private, Some-college,10.0, Never-married, Transport-moving, Unmarried, White, Female,0.0,0.0,20.0, Puerto-Rico,<=50K -47, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 9th,5.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,45.0, Mexico,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1977.0,65.0, United-States,>50K -60, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -64, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2635.0,0.0,10.0, United-States,<=50K -32, Local-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -33, State-gov, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -71, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,14.0, United-States,<=50K -55, Local-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -85, Self-emp-not-inc, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -39, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,2415.0,67.0, India,>50K -25, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -19, Private, 11th,7.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,65.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -26, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -80, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -79, Local-gov, Doctorate,16.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Bachelors,13.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,1876.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -51, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -52, Local-gov, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,4787.0,0.0,60.0, United-States,>50K -43, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -68, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -34, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Cambodia,>50K -22, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -65, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Self-emp-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -40, Private, 11th,7.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Separated, Other-service, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -62, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -49, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,55.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Separated, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, 1st-4th,2.0, Married-spouse-absent, Farming-fishing, Other-relative, White, Male,0.0,0.0,77.0, Mexico,<=50K -36, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,53.0, United-States,>50K -36, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, Mexico,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -51, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -25, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -57, Private, HS-grad,9.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,2597.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -29, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Separated, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, 11th,7.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Separated, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -48, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -35, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,7298.0,0.0,35.0, United-States,>50K -43, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,42.0, United-States,<=50K -57, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, 10th,6.0, Widowed, Craft-repair, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,2051.0,38.0, United-States,<=50K -30, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, Thailand,>50K -50, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Other, Male,0.0,0.0,50.0, United-States,<=50K -23, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, Yugoslavia,>50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -33, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,70.0, United-States,>50K -30, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,45.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, Germany,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,60.0, Canada,>50K -24, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Protective-serv, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,2829.0,0.0,60.0, China,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,21.0, United-States,<=50K -30, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -73, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2246.0,40.0, United-States,>50K -26, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, Black, Male,0.0,0.0,45.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Craft-repair, Own-child, White, Male,594.0,0.0,20.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7298.0,0.0,35.0, United-States,>50K -22, Private, Some-college,10.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,84.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -31, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, Italy,<=50K -54, Self-emp-not-inc, Bachelors,13.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -63, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -67, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,14.0, United-States,<=50K -67, Self-emp-inc, Bachelors,13.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Other, Female,0.0,0.0,19.0, United-States,<=50K -33, Local-gov, HS-grad,9.0, Separated, Other-service, Own-child, White, Female,0.0,0.0,80.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, Mexico,<=50K -29, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,10.0, United-States,>50K -40, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -39, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -49, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2042.0,48.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -90, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -27, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,99999.0,0.0,50.0, United-States,>50K -27, Local-gov, HS-grad,9.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -43, Local-gov, Masters,14.0, Separated, Prof-specialty, Unmarried, Black, Female,0.0,0.0,37.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Germany,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,4101.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,4787.0,0.0,45.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -39, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Male,2174.0,0.0,50.0, United-States,<=50K -46, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,4650.0,0.0,50.0, Ireland,<=50K -37, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,13.0, United-States,>50K -45, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -71, Private, 12th,8.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -38, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -48, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,54.0, United-States,>50K -32, Federal-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -57, Self-emp-not-inc, Some-college,10.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -55, Private, 10th,6.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -66, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -62, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, Other, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -33, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Federal-gov, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Assoc-voc,11.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -44, Private, 12th,8.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -46, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,17.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,8.0, United-States,<=50K -55, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,30.0, Philippines,<=50K -27, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -47, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,80.0, United-States,<=50K -19, State-gov, 12th,8.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,35.0, Thailand,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -59, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Female,27828.0,0.0,45.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Own-child, White, Female,0.0,2002.0,40.0, United-States,<=50K -60, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -20, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -28, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,2202.0,0.0,50.0, United-States,<=50K -24, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,20.0, India,<=50K -31, Private, 12th,8.0, Never-married, Farming-fishing, Not-in-family, Black, Male,0.0,0.0,60.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -55, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4064.0,0.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -46, Private, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -50, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,35.0, Haiti,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,62.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,14.0, United-States,<=50K -37, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,10520.0,0.0,40.0, United-States,>50K -41, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,39.0, United-States,>50K -42, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -56, Private, 9th,5.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -55, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -49, Self-emp-inc, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -18, Local-gov, 7th-8th,4.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 9th,5.0, Never-married, Farming-fishing, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, State-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1485.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,50.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -31, State-gov, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,1876.0,40.0, United-States,<=50K -55, Private, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, 7th-8th,4.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,10520.0,0.0,60.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1672.0,55.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -71, Private, 11th,7.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,75.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Hong,>50K -26, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Canada,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -51, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, 9th,5.0, Widowed, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, State-gov, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -29, Private, 12th,8.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -26, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,24.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,>50K -62, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -76, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -55, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -39, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,10520.0,0.0,64.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,42.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -56, Federal-gov, Some-college,10.0, Separated, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,13550.0,0.0,45.0, United-States,>50K -34, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,57.0, United-States,>50K -42, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -50, Self-emp-inc, Some-college,10.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,75.0, United-States,<=50K -34, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,33.0, United-States,<=50K -47, Private, 11th,7.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,6849.0,0.0,40.0, United-States,<=50K -57, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -53, Private, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, Black, Male,4787.0,0.0,40.0, United-States,>50K -58, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,24.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, Germany,<=50K -53, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -50, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,72.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -76, Private, 7th-8th,4.0, Widowed, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2415.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,2885.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -50, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2407.0,0.0,40.0, United-States,<=50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -58, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, 9th,5.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,24.0, Haiti,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Self-emp-not-inc, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -42, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -44, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -60, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -44, Local-gov, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,1340.0,40.0, United-States,<=50K -63, Private, 7th-8th,4.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,41.0, United-States,<=50K -46, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Sales, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Separated, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -61, Self-emp-not-inc, Assoc-acdm,12.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0.0,0.0,90.0, United-States,<=50K -53, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,1977.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,50.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -25, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Iran,<=50K -37, Local-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,2547.0,40.0, United-States,>50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -59, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,34.0, United-States,<=50K -46, Private, Some-college,10.0, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -45, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,28.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,39.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,2042.0,10.0, United-States,<=50K -23, Private, 12th,8.0, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,3781.0,0.0,50.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,55.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -77, Self-emp-not-inc, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,1944.0,1.0, United-States,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Guatemala,<=50K -23, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -23, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -30, Private, Prof-school,15.0, Widowed, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -17, Private, 9th,5.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,55.0, Canada,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -58, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -59, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3942.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,30.0, Jamaica,<=50K -26, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Bachelors,13.0, Widowed, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,10.0, Japan,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Separated, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, Mexico,>50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,41.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -57, State-gov, Bachelors,13.0, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,39.0, United-States,<=50K -22, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -40, Private, 11th,7.0, Separated, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,36.0, United-States,<=50K -36, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -43, Private, HS-grad,9.0, Separated, Transport-moving, Unmarried, White, Female,0.0,0.0,44.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Self-emp-not-inc, Some-college,10.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,2258.0,50.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, 11th,7.0, Separated, Prof-specialty, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,36.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -63, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -28, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,4865.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -41, Local-gov, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, Assoc-acdm,12.0, Divorced, Other-service, Not-in-family, White, Female,4865.0,0.0,30.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -27, Private, 9th,5.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,50.0, Mexico,<=50K -32, Federal-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,45.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,30.0, Nicaragua,<=50K -60, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -47, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,36.0, United-States,<=50K -54, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -32, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,1504.0,40.0, United-States,<=50K -29, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,4386.0,0.0,45.0, United-States,>50K -36, Local-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,70.0, United-States,<=50K -38, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -59, Private, 10th,6.0, Widowed, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,5013.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -28, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -31, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, 11th,7.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -21, Private, 9th,5.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -53, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,24.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -51, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,48.0, United-States,<=50K -28, Local-gov, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,5721.0,0.0,40.0, United-States,<=50K -26, Self-emp-not-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Divorced, Protective-serv, Not-in-family, Black, Male,0.0,0.0,60.0, United-States,>50K -43, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -46, Private, 11th,7.0, Divorced, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1876.0,40.0, United-States,<=50K -46, Private, Prof-school,15.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -44, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,55.0, United-States,>50K -21, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Own-child, White, Female,2174.0,0.0,60.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -27, Private, Masters,14.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -24, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Female,0.0,0.0,5.0, Vietnam,<=50K -63, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,22.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,4650.0,0.0,20.0, United-States,<=50K -64, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Other-relative, Black, Female,0.0,0.0,35.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -35, Private, 11th,7.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Local-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Exec-managerial, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -64, State-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -42, Private, 7th-8th,4.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,2205.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, Germany,>50K -42, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -36, Federal-gov, Some-college,10.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,>50K -23, Private, 12th,8.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,30.0, Mexico,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,14.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -56, Federal-gov, Bachelors,13.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,2001.0,65.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, Columbia,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,43.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -48, Private, Assoc-acdm,12.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,30.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -70, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, Cuba,<=50K -30, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -76, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -25, Private, HS-grad,9.0, Separated, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -39, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,56.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, 12th,8.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, 1st-4th,2.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, Haiti,>50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,55.0, Mexico,<=50K -54, State-gov, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -43, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, 12th,8.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,2258.0,42.0, United-States,<=50K -38, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -54, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,52.0, United-States,<=50K -32, Private, Some-college,10.0, Separated, Tech-support, Not-in-family, Amer-Indian-Eskimo, Male,0.0,1980.0,40.0, United-States,<=50K -61, Local-gov, 7th-8th,4.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,2885.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 10th,6.0, Never-married, Priv-house-serv, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -53, Federal-gov, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -68, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Private, Some-college,10.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,15.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,56.0, Haiti,>50K -25, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, India,>50K -33, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -49, Private, Bachelors,13.0, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, India,<=50K -58, Private, 7th-8th,4.0, Widowed, Other-service, Not-in-family, Other, Female,0.0,0.0,30.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,24.0, United-States,>50K -67, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,10566.0,0.0,40.0, United-States,<=50K -69, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,34.0, United-States,<=50K -31, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Federal-gov, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -46, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -43, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,4508.0,0.0,40.0, Cuba,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,2415.0,99.0, United-States,>50K -59, Private, 7th-8th,4.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -63, Self-emp-inc, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, 10th,6.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,1669.0,45.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3103.0,0.0,35.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, Germany,<=50K -49, Self-emp-inc, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Male,6497.0,0.0,45.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -43, Local-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,17.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,12.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Divorced, Transport-moving, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,28.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -74, State-gov, Some-college,10.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,16.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, State-gov, 5th-6th,3.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Local-gov, Some-college,10.0, Never-married, Protective-serv, Unmarried, Other, Male,1151.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -25, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -44, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,44.0, United-States,>50K -42, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -45, Private, Doctorate,16.0, Separated, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,14.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -71, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051.0,0.0,50.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,50.0, United-States,>50K -50, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -47, Federal-gov, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -51, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -42, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0.0,0.0,35.0, Vietnam,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -60, Private, Some-college,10.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,27.0, United-States,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Own-child, White, Female,7298.0,0.0,40.0, United-States,>50K -58, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -62, Private, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,37.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -68, Private, Bachelors,13.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,35.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Other, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,43.0, Mexico,<=50K -37, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Local-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, 9th,5.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,84.0, United-States,>50K -32, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -32, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, Bachelors,13.0, Divorced, Prof-specialty, Other-relative, White, Male,0.0,0.0,35.0, United-States,>50K -37, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -51, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,45.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -69, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,15831.0,0.0,40.0, United-States,>50K -28, Private, Masters,14.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Local-gov, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -60, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, 10th,6.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,2238.0,35.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -47, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -47, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -36, Federal-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -62, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,2415.0,60.0, United-States,>50K -65, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,45.0, United-States,>50K -35, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,6849.0,0.0,40.0, United-States,<=50K -50, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,6.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -53, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -62, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1504.0,45.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,38.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,20.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,38.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, Portugal,<=50K -32, Private, 10th,6.0, Separated, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, Black, Male,0.0,1602.0,23.0, United-States,<=50K -20, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -38, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -41, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -36, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -61, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -47, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -51, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -34, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,3908.0,0.0,45.0, United-States,<=50K -26, Private, 5th-6th,3.0, Never-married, Farming-fishing, Other-relative, Black, Male,0.0,0.0,40.0, Mexico,<=50K -20, State-gov, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -43, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,49.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,42.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,44.0, United-States,<=50K -35, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,61.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -65, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,2290.0,0.0,40.0, United-States,<=50K -28, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -79, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,35.0, United-States,>50K -54, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,62.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,35.0, United-States,>50K -34, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,65.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Prof-specialty, Other-relative, White, Male,0.0,0.0,3.0, United-States,<=50K -40, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1977.0,15.0, United-States,>50K -28, Private, 9th,5.0, Married-civ-spouse, Sales, Husband, White, Male,4508.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -41, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -48, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, 11th,7.0, Divorced, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, 9th,5.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -49, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -49, Private, HS-grad,9.0, Separated, Sales, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -62, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, Preschool,1.0, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -30, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,60.0, Hungary,<=50K -29, Federal-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -50, Private, Masters,14.0, Divorced, Sales, Not-in-family, White, Female,0.0,1590.0,45.0, United-States,<=50K -44, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -62, Private, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, Some-college,10.0, Widowed, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Preschool,1.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -54, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,15.0, United-States,<=50K -42, Federal-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -29, Self-emp-inc, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,80.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -62, Self-emp-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -60, Self-emp-inc, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -35, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -50, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Wife, White, Female,0.0,0.0,40.0, France,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, State-gov, Some-college,10.0, Never-married, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -52, Local-gov, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Married-spouse-absent, Sales, Unmarried, Black, Female,0.0,0.0,28.0, Jamaica,<=50K -39, Federal-gov, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -59, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -55, Federal-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, Bachelors,13.0, Divorced, Craft-repair, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,47.0, Iran,<=50K -33, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, Mexico,<=50K -29, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, France,<=50K -41, State-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,24.0, United-States,<=50K -53, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -45, Self-emp-not-inc, HS-grad,9.0, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Thailand,<=50K -47, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Masters,14.0, Divorced, Tech-support, Unmarried, Black, Female,4687.0,0.0,35.0, United-States,>50K -53, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137.0,0.0,40.0, United-States,<=50K -38, Self-emp-inc, HS-grad,9.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -43, Private, 10th,6.0, Separated, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,32.0, United-States,<=50K -47, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -32, State-gov, Some-college,10.0, Divorced, Protective-serv, Unmarried, White, Female,0.0,1726.0,38.0, United-States,<=50K -48, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -39, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, Black, Female,15020.0,0.0,60.0, United-States,>50K -58, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, 7th-8th,4.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,60.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -74, Self-emp-not-inc, Doctorate,16.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0.0,0.0,25.0, United-States,>50K -49, Self-emp-not-inc, HS-grad,9.0, Widowed, Farming-fishing, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -56, Self-emp-not-inc, 11th,7.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,65.0, Greece,>50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,14344.0,0.0,40.0, United-States,>50K -25, Private, Assoc-acdm,12.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,48.0, United-States,<=50K -57, Private, 12th,8.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,2354.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,27828.0,0.0,60.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -40, Private, Some-college,10.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,45.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,10.0, Canada,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999.0,0.0,35.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, Black, Male,0.0,0.0,30.0, United-States,<=50K -24, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -28, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Federal-gov, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -33, Private, 12th,8.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -81, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2377.0,26.0, United-States,>50K -45, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Unmarried, Other, Male,0.0,0.0,40.0, Columbia,<=50K -35, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Cambodia,<=50K -59, Self-emp-not-inc, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, 1st-4th,2.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -34, Local-gov, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -61, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Laos,<=50K -37, Private, HS-grad,9.0, Separated, Craft-repair, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 11th,7.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -37, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -46, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -47, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -25, Self-emp-inc, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -50, State-gov, HS-grad,9.0, Widowed, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -25, Private, 9th,5.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,2829.0,0.0,65.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,25236.0,0.0,25.0, United-States,>50K -19, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -52, Local-gov, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -50, State-gov, Some-college,10.0, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -19, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, White, Female,0.0,1669.0,70.0, United-States,<=50K -65, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -44, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,48.0, United-States,<=50K -32, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -28, Private, 7th-8th,4.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -44, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,7298.0,0.0,48.0, United-States,>50K -39, Local-gov, Assoc-acdm,12.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -59, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, France,>50K -34, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -31, Private, Assoc-acdm,12.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2129.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,32.0, United-States,>50K -28, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,60.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,15024.0,0.0,80.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, White, Male,10520.0,0.0,65.0, Greece,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386.0,0.0,45.0, United-States,>50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,55.0, United-States,>50K -43, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,24.0, United-States,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -31, Private, 11th,7.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Local-gov, Some-college,10.0, Widowed, Transport-moving, Not-in-family, Black, Female,0.0,0.0,47.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,40.0, Poland,<=50K -60, Private, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,55.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -30, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, England,<=50K -35, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -61, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -35, State-gov, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Federal-gov, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, Scotland,<=50K -27, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, 1st-4th,2.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,35.0, Portugal,<=50K -55, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2002.0,55.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, State-gov, Some-college,10.0, Never-married, Tech-support, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -46, Private, Some-college,10.0, Divorced, Machine-op-inspct, Own-child, White, Female,0.0,0.0,17.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,4386.0,0.0,20.0, United-States,<=50K -52, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,7298.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,2174.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,2415.0,40.0, United-States,>50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -57, Local-gov, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Farming-fishing, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -69, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,9386.0,0.0,72.0, United-States,>50K -39, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Assoc-voc,11.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -34, State-gov, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,55.0, Outlying-US(Guam-USVI-etc),<=50K -41, Local-gov, HS-grad,9.0, Divorced, Exec-managerial, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -52, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -38, Private, 12th,8.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,17.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -20, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Divorced, Exec-managerial, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, France,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,55.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -31, Private, 9th,5.0, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,35.0, United-States,<=50K -56, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -22, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Farming-fishing, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,75.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,22.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -37, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, 11th,7.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Taiwan,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,7.0, United-States,<=50K -42, Private, Some-college,10.0, Separated, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, 9th,5.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,52.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Other, Male,0.0,0.0,20.0, Puerto-Rico,<=50K -30, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Separated, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -43, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1485.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Ireland,>50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -45, Self-emp-not-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, State-gov, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,45.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Local-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,2001.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,19.0, United-States,<=50K -59, Private, 11th,7.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -26, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -25, Private, Masters,14.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -66, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,28.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, Other, Male,0.0,0.0,36.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Other, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -72, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,12.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,12.0, United-States,<=50K -49, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -25, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, 10th,6.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -60, Private, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -77, Local-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,3818.0,0.0,14.0, United-States,<=50K -62, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -52, Federal-gov, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -23, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-inc, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,50.0, Mexico,<=50K -38, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -23, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, State-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,4650.0,0.0,40.0, United-States,<=50K -39, Private, 5th-6th,3.0, Married-spouse-absent, Other-service, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -38, Local-gov, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,44.0, Philippines,<=50K -66, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 7th-8th,4.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, Mexico,<=50K -20, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Transport-moving, Other-relative, Black, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,1741.0,42.0, United-States,<=50K -41, Local-gov, Preschool,1.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -40, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0.0,0.0,35.0, Philippines,<=50K -30, Local-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,4650.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, State-gov, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -60, Private, 11th,7.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -39, Local-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,60.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, Mexico,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, Peru,<=50K -34, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,65.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -33, Private, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -56, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,85.0, England,>50K -36, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -88, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, Columbia,<=50K -40, Self-emp-not-inc, Masters,14.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,55.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0.0,0.0,36.0, United-States,<=50K -56, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -67, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1573.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -19, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,91.0, United-States,<=50K -33, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -33, Federal-gov, Some-college,10.0, Divorced, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-inc, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, White, Male,25236.0,0.0,36.0, United-States,>50K -35, Private, Some-college,10.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,85.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -45, State-gov, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, Black, Male,25236.0,0.0,36.0, United-States,>50K -24, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -28, Private, Assoc-voc,11.0, Never-married, Tech-support, Own-child, White, Female,2174.0,0.0,36.0, United-States,<=50K -63, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,22.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -25, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,7298.0,0.0,55.0, United-States,>50K -44, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -52, Private, 1st-4th,2.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -49, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,7298.0,0.0,40.0, Philippines,>50K -28, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -65, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Federal-gov, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -57, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,1977.0,40.0, United-States,>50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -42, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -29, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -71, Local-gov, Masters,14.0, Widowed, Exec-managerial, Not-in-family, White, Male,2050.0,0.0,20.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -67, Private, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,18.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -38, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Guatemala,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, Haiti,<=50K -36, State-gov, HS-grad,9.0, Separated, Other-service, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -23, Self-emp-not-inc, 1st-4th,2.0, Married-civ-spouse, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, 12th,8.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, State-gov, Prof-school,15.0, Divorced, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -38, Private, 11th,7.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,52.0, United-States,<=50K -37, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -57, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -54, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -63, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,20.0, Poland,<=50K -26, Private, 11th,7.0, Married-civ-spouse, Other-service, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -40, Private, 11th,7.0, Divorced, Other-service, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2635.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0.0,0.0,5.0, United-States,>50K -42, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, 11th,7.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -67, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,7978.0,0.0,35.0, United-States,<=50K -65, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,27.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,38.0, United-States,<=50K -36, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,39.0, United-States,<=50K -38, Federal-gov, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -52, Without-pay, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -34, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -49, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -45, Private, 9th,5.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,2415.0,35.0, Philippines,>50K -34, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -21, Self-emp-not-inc, 12th,8.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,4508.0,0.0,30.0, Portugal,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -27, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0.0,0.0,50.0, Philippines,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -62, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,2174.0,0.0,40.0, United-States,<=50K -40, Federal-gov, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,39.0, United-States,<=50K -32, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1590.0,40.0, United-States,<=50K -70, Private, Some-college,10.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,34.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -24, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -41, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -38, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -48, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,48.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -48, Private, Some-college,10.0, Divorced, Handlers-cleaners, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -70, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -37, Private, 9th,5.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -59, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,43.0, United-States,>50K -57, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -26, Private, 5th-6th,3.0, Separated, Craft-repair, Not-in-family, Other, Male,0.0,0.0,35.0, Mexico,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,8614.0,0.0,55.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,80.0, United-States,>50K -22, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -72, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298.0,0.0,21.0, United-States,>50K -53, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -69, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,27.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -50, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1977.0,35.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -32, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -41, Private, Bachelors,13.0, Widowed, Sales, Unmarried, Black, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, State-gov, Doctorate,16.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,0.0,20.0, China,<=50K -23, Private, Assoc-voc,11.0, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,<=50K -30, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Local-gov, Masters,14.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -26, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1669.0,40.0, United-States,<=50K -39, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Some-college,10.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, Canada,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,3325.0,0.0,48.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -30, Self-emp-not-inc, 7th-8th,4.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,10520.0,0.0,40.0, United-States,>50K -47, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -52, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -58, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,60.0, United-States,>50K -43, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1740.0,60.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,25.0, Mexico,<=50K -34, State-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,35.0, Haiti,<=50K -62, Local-gov, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Prof-school,15.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -41, Local-gov, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Male,0.0,0.0,60.0, United-States,>50K -36, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,54.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,15.0, China,<=50K -47, Private, Assoc-voc,11.0, Divorced, Sales, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,63.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,4386.0,0.0,50.0, United-States,<=50K -53, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,28.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -19, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,60.0, United-States,<=50K -36, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -42, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, State-gov, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -18, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -48, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, 10th,6.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -20, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -29, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,35.0, United-States,>50K -54, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -59, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Private, 7th-8th,4.0, Divorced, Farming-fishing, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Separated, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -49, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -49, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -30, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,42.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -37, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -32, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -57, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, 9th,5.0, Married-civ-spouse, Sales, Own-child, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -57, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Assoc-voc,11.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,45.0, Columbia,<=50K -44, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -28, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Divorced, Prof-specialty, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -42, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Male,0.0,0.0,30.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -56, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Preschool,1.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,12.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0.0,0.0,37.0, United-States,>50K -35, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Separated, Exec-managerial, Unmarried, White, Male,0.0,0.0,60.0, United-States,>50K -23, Private, Assoc-voc,11.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Japan,>50K -35, Self-emp-inc, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, Cuba,>50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,23.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,12.0, United-States,<=50K -39, Private, Some-college,10.0, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -46, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Not-in-family, White, Female,0.0,0.0,80.0, Italy,<=50K -27, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,1504.0,45.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -55, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, Bachelors,13.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,43.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,26.0, United-States,<=50K -44, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,48.0, South,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Private, HS-grad,9.0, Separated, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,20.0, Yugoslavia,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -18, Local-gov, 10th,6.0, Never-married, Protective-serv, Own-child, White, Female,0.0,0.0,6.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1848.0,50.0, United-States,>50K -38, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -55, Private, Some-college,10.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,>50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, 10th,6.0, Separated, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Without-pay, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,99.0, United-States,<=50K -53, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,3103.0,0.0,72.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,1590.0,43.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -90, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -38, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,43.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -53, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -56, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -50, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,20.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, 11th,7.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -62, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,84.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,2174.0,0.0,41.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 12th,8.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298.0,0.0,32.0, United-States,>50K -67, Local-gov, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, Black, Female,6360.0,0.0,35.0, United-States,<=50K -34, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -45, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -63, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,43.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 12th,8.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, France,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Never-married, Farming-fishing, Unmarried, White, Female,0.0,0.0,46.0, United-States,<=50K -69, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,55.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, Other, Female,0.0,0.0,60.0, Guatemala,<=50K -56, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -61, Federal-gov, Masters,14.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -39, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,44.0, United-States,<=50K -40, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -59, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Federal-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -59, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -53, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -54, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Self-emp-not-inc, Masters,14.0, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,45.0, United-States,>50K -33, Local-gov, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -35, Private, HS-grad,9.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,50.0, Portugal,<=50K -45, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1485.0,70.0, United-States,>50K -29, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Masters,14.0, Divorced, Sales, Unmarried, White, Female,0.0,2339.0,60.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -35, Local-gov, Some-college,10.0, Separated, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 1st-4th,2.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, Guatemala,<=50K -42, State-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -32, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,36.0, United-States,>50K -47, Self-emp-not-inc, Bachelors,13.0, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,60.0, Thailand,<=50K -24, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, State-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, 11th,7.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,37.0, United-States,<=50K -26, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -25, Local-gov, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,1719.0,16.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-spouse-absent, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1741.0,35.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, South,<=50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -30, Private, Assoc-acdm,12.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -56, Local-gov, Prof-school,15.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -69, Private, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Canada,>50K -42, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -45, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,20.0, United-States,>50K -26, Private, 11th,7.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,42.0, United-States,>50K -31, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, 5th-6th,3.0, Separated, Farming-fishing, Other-relative, White, Male,0.0,0.0,60.0, Mexico,<=50K -51, Private, HS-grad,9.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -38, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,2258.0,60.0, United-States,<=50K -64, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -26, State-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, 5th-6th,3.0, Married-spouse-absent, Sales, Not-in-family, White, Male,0.0,0.0,22.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2105.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -29, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,27.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, 9th,5.0, Separated, Other-service, Unmarried, Other, Female,0.0,0.0,40.0, Trinadad&Tobago,<=50K -20, Private, HS-grad,9.0, Married-civ-spouse, Sales, Own-child, Black, Male,0.0,0.0,32.0, United-States,<=50K -40, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -43, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,55.0, United-States,>50K -52, Local-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 9th,5.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -44, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, Mexico,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -49, Private, 7th-8th,4.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,35.0, United-States,<=50K -36, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -29, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Not-in-family, Other, Female,0.0,0.0,40.0, Columbia,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Bachelors,13.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, 11th,7.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,20.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,35.0, United-States,<=50K -31, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,55.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,3103.0,0.0,60.0, United-States,>50K -50, Private, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,45.0, United-States,>50K -38, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,3942.0,0.0,84.0, Portugal,<=50K -40, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,35.0, United-States,<=50K -58, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, Other, Male,0.0,0.0,40.0, Mexico,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -49, Private, 10th,6.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -39, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,5178.0,0.0,38.0, United-States,>50K -46, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -26, Private, HS-grad,9.0, Separated, Sales, Unmarried, Black, Female,0.0,0.0,37.0, United-States,<=50K -40, Federal-gov, Masters,14.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,13550.0,0.0,50.0, United-States,>50K -34, Private, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -27, State-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, Scotland,<=50K -40, Private, Some-college,10.0, Divorced, Transport-moving, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -68, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -43, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -23, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,27.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,2885.0,0.0,30.0, United-States,<=50K -51, Self-emp-inc, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,10520.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013.0,0.0,55.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,8.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -26, Private, 12th,8.0, Married-civ-spouse, Priv-house-serv, Wife, Other, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -46, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -41, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -59, Private, 10th,6.0, Married-spouse-absent, Protective-serv, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,1471.0,0.0,38.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2415.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, 7th-8th,4.0, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,2977.0,0.0,40.0, Puerto-Rico,<=50K -45, Private, 11th,7.0, Married-spouse-absent, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, South,<=50K -43, Federal-gov, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -49, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,55.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,55.0, United-States,>50K -51, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -67, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -39, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,15.0, United-States,>50K -33, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -68, Self-emp-inc, Assoc-voc,11.0, Widowed, Sales, Not-in-family, White, Female,25124.0,0.0,50.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Farming-fishing, Unmarried, White, Male,2463.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,63.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -45, Federal-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -53, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,55.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -41, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -57, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 10th,6.0, Never-married, Farming-fishing, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,2179.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,13.0, United-States,<=50K -17, Private, 9th,5.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -82, Self-emp-inc, Some-college,10.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,35.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,22.0, United-States,>50K -39, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -63, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -59, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -49, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,9.0, United-States,<=50K -28, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,30.0, Mexico,<=50K -45, Federal-gov, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 9th,5.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,22.0, United-States,>50K -41, Private, HS-grad,9.0, Divorced, Transport-moving, Unmarried, White, Male,7443.0,0.0,40.0, United-States,<=50K -49, Local-gov, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,48.0, United-States,>50K -37, Private, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -31, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, 1st-4th,2.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -39, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Assoc-acdm,12.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,15024.0,0.0,45.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -54, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,41.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,14084.0,0.0,36.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Preschool,1.0, Married-spouse-absent, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -48, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Poland,<=50K -21, Private, Assoc-voc,11.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -52, Private, 11th,7.0, Widowed, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,2829.0,0.0,40.0, United-States,<=50K -36, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, Guatemala,<=50K -42, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,35.0, United-States,>50K -62, Private, Prof-school,15.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Canada,>50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -43, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -44, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,39.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, El-Salvador,>50K -55, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, China,>50K -53, Private, 12th,8.0, Never-married, Other-service, Not-in-family, Other, Female,0.0,0.0,35.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,4.0, United-States,<=50K -41, Private, 11th,7.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1977.0,30.0, United-States,>50K -43, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -53, Local-gov, 1st-4th,2.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,32.0, Mexico,<=50K -34, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -59, Private, Assoc-acdm,12.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -53, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, 7th-8th,4.0, Separated, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,35.0, Haiti,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,5178.0,0.0,72.0, United-States,>50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,35.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -53, Federal-gov, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -58, State-gov, HS-grad,9.0, Divorced, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -39, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,13550.0,0.0,50.0, United-States,>50K -48, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -41, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2002.0,40.0, United-States,<=50K -50, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Not-in-family, Black, Male,0.0,0.0,45.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,48.0, United-States,>50K -23, Private, Some-college,10.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -47, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -60, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Local-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Female,0.0,0.0,37.0, United-States,<=50K -42, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,48.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,16.0, United-States,<=50K -19, Private, 12th,8.0, Never-married, Sales, Other-relative, White, Male,1055.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,45.0, United-States,>50K -48, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -38, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -40, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -20, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Guatemala,<=50K -49, Private, Bachelors,13.0, Married-spouse-absent, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, Philippines,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, Canada,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -60, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,38.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, Other, Female,4101.0,0.0,35.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,2202.0,0.0,45.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -50, Self-emp-not-inc, Prof-school,15.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -64, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -51, Private, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-not-inc, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -20, Private, 12th,8.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,2829.0,0.0,40.0, United-States,<=50K -23, Self-emp-inc, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Self-emp-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -51, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -59, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Sales, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, Greece,<=50K -39, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -44, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,20.0, Hungary,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -40, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, Italy,>50K -40, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,35.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Cambodia,<=50K -18, Private, 9th,5.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,42.0, United-States,<=50K -32, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,55.0, Mexico,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,43.0, United-States,<=50K -53, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,32.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -35, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -43, Self-emp-not-inc, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -51, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,21.0, United-States,<=50K -54, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -76, Local-gov, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -33, Private, 7th-8th,4.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,43.0, Mexico,<=50K -19, Private, 12th,8.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -49, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -48, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 12th,8.0, Separated, Adm-clerical, Unmarried, White, Female,1471.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024.0,0.0,48.0, Philippines,>50K -53, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -53, State-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Germany,>50K -39, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Local-gov, 10th,6.0, Never-married, Protective-serv, Own-child, White, Female,0.0,1602.0,40.0, United-States,<=50K -53, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0.0,0.0,64.0, Philippines,>50K -34, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -47, State-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -26, Local-gov, Some-college,10.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,10.0, Jamaica,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, Prof-school,15.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2415.0,99.0, United-States,>50K -17, Local-gov, 11th,7.0, Never-married, Prof-specialty, Own-child, Black, Male,0.0,0.0,15.0, United-States,<=50K -46, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -45, Self-emp-not-inc, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, France,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,4.0, United-States,<=50K -18, Self-emp-inc, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,50.0, United-States,>50K -34, State-gov, Masters,14.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -25, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3137.0,0.0,50.0, United-States,<=50K -37, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,2105.0,0.0,50.0, United-States,<=50K -39, Private, Bachelors,13.0, Never-married, Exec-managerial, Other-relative, Black, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Transport-moving, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,1902.0,35.0, United-States,>50K -65, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -40, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,53.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -71, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2467.0,52.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -44, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -65, Private, 11th,7.0, Divorced, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, England,>50K -53, Local-gov, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -35, Private, 11th,7.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, 9th,5.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,70.0, Dominican-Republic,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, Canada,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -26, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -28, Local-gov, HS-grad,9.0, Never-married, Transport-moving, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,8.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Germany,>50K -50, Self-emp-inc, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,50.0, Trinadad&Tobago,<=50K -30, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,62.0, United-States,<=50K -47, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -55, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,1887.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,20.0, South,<=50K -25, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,22.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -26, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, Black, Female,0.0,1594.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, Some-college,10.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,47.0, United-States,<=50K -48, Private, Bachelors,13.0, Divorced, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,44.0, Germany,<=50K -24, Private, Some-college,10.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -46, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -53, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -36, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,70.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,99999.0,0.0,30.0, United-States,>50K -45, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Federal-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -33, Private, 9th,5.0, Divorced, Craft-repair, Unmarried, White, Male,114.0,0.0,55.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, Puerto-Rico,>50K -30, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,10.0, United-States,<=50K -32, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -35, State-gov, HS-grad,9.0, Divorced, Protective-serv, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Separated, Prof-specialty, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Philippines,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, 12th,8.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -35, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -61, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Female,2463.0,0.0,35.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -58, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -25, Private, HS-grad,9.0, Separated, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,3818.0,0.0,10.0, United-States,<=50K -57, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,2824.0,50.0, United-States,>50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -42, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -18, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Private, Bachelors,13.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,48.0, England,>50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,47.0, United-States,<=50K -17, Local-gov, 12th,8.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -37, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,4865.0,0.0,45.0, United-States,<=50K -29, State-gov, Assoc-voc,11.0, Divorced, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Transport-moving, Not-in-family, Black, Male,0.0,0.0,20.0, United-States,<=50K -37, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -47, State-gov, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, Mexico,<=50K -33, Federal-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1669.0,40.0, United-States,<=50K -40, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -35, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2057.0,40.0, United-States,<=50K -32, Private, 11th,7.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -26, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, India,<=50K -43, Private, 12th,8.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -48, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 5th-6th,3.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -28, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,63.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -45, State-gov, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -88, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,15.0, South,<=50K -24, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -31, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -58, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Some-college,10.0, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -30, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,43.0, United-States,<=50K -23, Local-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,>50K -41, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -60, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -69, State-gov, Prof-school,15.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,34.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,25.0, United-States,<=50K -60, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, Mexico,<=50K -64, Private, Some-college,10.0, Widowed, Tech-support, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -39, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -51, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -51, Private, 10th,6.0, Divorced, Craft-repair, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -25, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -74, Self-emp-not-inc, HS-grad,9.0, Widowed, Farming-fishing, Not-in-family, White, Female,0.0,0.0,14.0, United-States,<=50K -26, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,30.0, United-States,<=50K -57, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,36.0, United-States,>50K -20, Private, 11th,7.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -40, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -50, State-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Preschool,1.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,35.0, Mexico,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,15.0, United-States,>50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -54, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,52.0, United-States,<=50K -37, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,7688.0,0.0,40.0, United-States,>50K -46, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, Cuba,<=50K -56, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,90.0, United-States,<=50K -30, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,20.0, Taiwan,<=50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -18, Self-emp-not-inc, 11th,7.0, Never-married, Other-service, Own-child, White, Female,594.0,0.0,4.0, United-States,<=50K -35, Private, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,1.0, United-States,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, Bachelors,13.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,75.0, United-States,>50K -51, Federal-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Separated, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,70.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Masters,14.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,6849.0,0.0,50.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,65.0, United-States,>50K -45, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -62, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -52, Federal-gov, Bachelors,13.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Nicaragua,<=50K -41, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,37.0, United-States,<=50K -41, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -50, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, 5th-6th,3.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -39, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,7298.0,0.0,40.0, United-States,>50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Local-gov, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -59, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -47, Self-emp-inc, Prof-school,15.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -64, Self-emp-inc, 1st-4th,2.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -29, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -38, Local-gov, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -49, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -53, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Sales, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, South,<=50K -34, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,55.0, India,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,10.0, Hungary,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -47, Private, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, 7th-8th,4.0, Never-married, Farming-fishing, Unmarried, White, Male,4865.0,0.0,40.0, United-States,<=50K -33, Federal-gov, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,50.0, United-States,>50K -63, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -18, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,48.0, United-States,>50K -38, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,47.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -23, Private, 10th,6.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -65, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Self-emp-not-inc, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -68, Federal-gov, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,3683.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -50, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,12.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,28.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,1506.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, Assoc-acdm,12.0, Never-married, Tech-support, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -47, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,2001.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -32, Private, Bachelors,13.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,1590.0,42.0, United-States,<=50K -44, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -35, Private, 5th-6th,3.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,36.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,4.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,37.0, Mexico,<=50K -56, Local-gov, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -46, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, Assoc-acdm,12.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,57.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,3464.0,0.0,80.0, Italy,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,36.0, United-States,<=50K -53, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999.0,0.0,37.0, United-States,>50K -75, Self-emp-not-inc, Assoc-voc,11.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -46, Federal-gov, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -40, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -68, Private, 9th,5.0, Divorced, Farming-fishing, Not-in-family, Black, Male,0.0,0.0,20.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -48, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -57, Federal-gov, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,98.0, United-States,>50K -47, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,45.0, United-States,>50K -56, Local-gov, 12th,8.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,28.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, Germany,<=50K -44, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,1602.0,12.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -23, Private, 9th,5.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,32.0, United-States,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -40, Private, Some-college,10.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,12.0, United-States,<=50K -64, Local-gov, Some-college,10.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Federal-gov, Assoc-voc,11.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,45.0, United-States,<=50K -37, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, Canada,>50K -28, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,24.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-inc, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -46, Private, 10th,6.0, Divorced, Adm-clerical, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,27.0, United-States,<=50K -44, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -21, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,2339.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, State-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,12.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,2829.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Assoc-acdm,12.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -72, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,2290.0,0.0,10.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Private, 12th,8.0, Divorced, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -40, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, 5th-6th,3.0, Separated, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, Mexico,<=50K -17, Private, 11th,7.0, Never-married, Transport-moving, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -42, Local-gov, 7th-8th,4.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -43, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -46, Private, 9th,5.0, Separated, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Prof-school,15.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Laos,>50K -47, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -31, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,2907.0,0.0,99.0, United-States,<=50K -33, Private, 7th-8th,4.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -59, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -39, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,1980.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -52, State-gov, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Federal-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -37, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,38.0, United-States,<=50K -49, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,65.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, Other, Male,0.0,0.0,32.0, United-States,<=50K -35, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,3103.0,0.0,55.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Separated, Other-service, Own-child, Black, Female,0.0,0.0,30.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,28.0, United-States,<=50K -50, Local-gov, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Local-gov, HS-grad,9.0, Divorced, Protective-serv, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,3137.0,0.0,40.0, El-Salvador,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,50.0, United-States,<=50K -55, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Private, 12th,8.0, Widowed, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, Italy,<=50K -22, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Own-child, White, Female,0.0,0.0,3.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,12.0, United-States,<=50K -43, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,4650.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,24.0, Philippines,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -52, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Male,9562.0,0.0,45.0, United-States,>50K -50, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,99.0, United-States,<=50K -47, Private, 10th,6.0, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,45.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Federal-gov, Some-college,10.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -61, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -72, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female,6849.0,0.0,40.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, Poland,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,53.0, United-States,>50K -20, Private, 12th,8.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,12.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,4416.0,0.0,40.0, Puerto-Rico,<=50K -67, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,2.0, United-States,<=50K -37, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, France,>50K -36, Private, HS-grad,9.0, Divorced, Exec-managerial, Own-child, White, Female,1831.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Separated, Tech-support, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -23, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,80.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Divorced, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -63, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -31, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,37.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688.0,0.0,45.0, United-States,>50K -51, Private, 9th,5.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2377.0,25.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -35, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, Some-college,10.0, Divorced, Exec-managerial, Own-child, White, Female,1831.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,32.0, United-States,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -20, Private, Assoc-acdm,12.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,37.0, United-States,<=50K -44, Private, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -50, Private, Masters,14.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -49, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -71, State-gov, Prof-school,15.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,28.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,25.0, United-States,<=50K -59, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -41, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,3411.0,0.0,40.0, Mexico,<=50K -38, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -55, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 9th,5.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -43, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,30.0, United-States,<=50K -19, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,8614.0,0.0,50.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,36.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -45, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -59, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -58, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, Greece,>50K -66, Local-gov, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,>50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1887.0,35.0, United-States,>50K -29, Private, Some-college,10.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, State-gov, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -57, Private, HS-grad,9.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -57, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Self-emp-inc, HS-grad,9.0, Married-spouse-absent, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -44, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024.0,0.0,65.0, United-States,>50K -56, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -26, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,65.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -45, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Local-gov, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,1669.0,38.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,36.0, Iran,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,25.0, United-States,<=50K -35, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,32.0, United-States,>50K -45, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -56, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Federal-gov, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, 12th,8.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,36.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -44, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,23.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -29, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -33, Private, Some-college,10.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,48.0, United-States,>50K -36, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -70, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,9386.0,0.0,30.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -76, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,20051.0,0.0,50.0, United-States,>50K -19, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2829.0,0.0,40.0, United-States,<=50K -24, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,30.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -23, Local-gov, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Other, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Other-relative, White, Female,0.0,0.0,30.0, United-States,<=50K -53, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,55.0, United-States,>50K -28, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -77, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -25, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -57, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,15024.0,0.0,40.0, United-States,>50K -39, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024.0,0.0,48.0, United-States,>50K -30, Private, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -31, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, State-gov, Some-college,10.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,65.0, United-States,<=50K -48, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,44.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -34, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,1980.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -32, Private, 11th,7.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,57.0, United-States,<=50K -66, Private, Bachelors,13.0, Married-civ-spouse, Priv-house-serv, Other-relative, White, Male,0.0,0.0,99.0, United-States,<=50K -63, Self-emp-not-inc, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -43, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,20.0, Mexico,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -39, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -47, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,48.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,70.0, United-States,>50K -41, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -50, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -36, Private, 11th,7.0, Separated, Exec-managerial, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -45, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -50, Private, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Private, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -40, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -51, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -56, State-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,39.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -55, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -43, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Local-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, Assoc-voc,11.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -29, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137.0,0.0,47.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -20, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -45, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -45, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, 7th-8th,4.0, Married-spouse-absent, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, Puerto-Rico,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -21, Private, 7th-8th,4.0, Never-married, Farming-fishing, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -70, Private, Bachelors,13.0, Widowed, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,32.0, Philippines,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,2597.0,0.0,40.0, United-States,<=50K -28, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,20.0, United-States,<=50K -83, Self-emp-inc, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,20051.0,0.0,50.0, United-States,>50K -69, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, China,>50K -37, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -71, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2377.0,45.0, United-States,>50K -56, State-gov, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,80.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,44.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Separated, Other-service, Not-in-family, White, Female,4650.0,0.0,72.0, United-States,<=50K -55, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,>50K -48, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Widowed, Farming-fishing, Not-in-family, White, Male,0.0,0.0,80.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -49, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Separated, Craft-repair, Own-child, White, Male,0.0,0.0,53.0, United-States,<=50K -40, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -59, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -47, Private, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, White, Male,1506.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -48, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, 9th,5.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, Bachelors,13.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,4101.0,0.0,48.0, United-States,<=50K -28, Private, 10th,6.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,30.0, United-States,<=50K -56, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, Trinadad&Tobago,<=50K -45, Private, HS-grad,9.0, Divorced, Transport-moving, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -60, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -37, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-AF-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, Cuba,<=50K -31, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,32.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,6418.0,0.0,40.0, United-States,>50K -34, Private, 1st-4th,2.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,40.0, Guatemala,<=50K -47, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -58, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,62.0, Canada,<=50K -23, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -76, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Male,0.0,0.0,6.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -28, Private, 7th-8th,4.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,7688.0,0.0,96.0, United-States,>50K -22, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,8614.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -41, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,43.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Transport-moving, Other-relative, Other, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -60, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -72, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -59, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,2885.0,0.0,43.0, United-States,<=50K -29, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -29, Local-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -29, State-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -54, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -65, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -70, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Male,0.0,0.0,38.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3942.0,0.0,45.0, United-States,<=50K -31, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -49, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Self-emp-inc, HS-grad,9.0, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -48, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -41, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -53, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -71, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -43, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -52, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -37, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,52.0, United-States,<=50K -54, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,45.0, United-States,>50K -61, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Taiwan,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, Black, Female,0.0,0.0,37.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Other-relative, White, Male,0.0,0.0,24.0, United-States,<=50K -54, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, Germany,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -51, Federal-gov, Masters,14.0, Widowed, Sales, Unmarried, White, Male,0.0,0.0,50.0, El-Salvador,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -47, Local-gov, Assoc-acdm,12.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,1408.0,40.0, United-States,<=50K -31, State-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Priv-house-serv, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,60.0, Philippines,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -43, State-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-inc, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -41, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Local-gov, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -40, Private, Bachelors,13.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Never-married, Craft-repair, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -72, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,74.0, United-States,<=50K -43, Local-gov, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1579.0,40.0, United-States,<=50K -32, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -53, Private, Some-college,10.0, Separated, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, Cuba,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -38, Private, 10th,6.0, Widowed, Transport-moving, Unmarried, Black, Male,114.0,0.0,40.0, United-States,<=50K -41, Federal-gov, Assoc-voc,11.0, Divorced, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,2829.0,0.0,40.0, United-States,<=50K -55, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -50, State-gov, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,6849.0,0.0,40.0, United-States,<=50K -47, Private, 11th,7.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -42, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,44.0, Mexico,<=50K -42, Federal-gov, Some-college,10.0, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Black, Male,15024.0,0.0,99.0, United-States,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,55.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, 12th,8.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, Dominican-Republic,<=50K -34, Self-emp-inc, Bachelors,13.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -27, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,2176.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,594.0,0.0,30.0, United-States,<=50K -70, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,9386.0,0.0,50.0, United-States,>50K -37, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -64, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,90.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -56, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -47, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2179.0,50.0, Mexico,<=50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, State-gov, Some-college,10.0, Married-spouse-absent, Farming-fishing, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -72, Private, 9th,5.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -69, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1848.0,50.0, United-States,>50K -42, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,8614.0,0.0,50.0, United-States,>50K -58, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,38.0, United-States,>50K -40, Private, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,>50K -36, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,46.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Sales, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,2580.0,0.0,45.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Black, Male,15024.0,0.0,50.0, United-States,>50K -33, Private, Some-college,10.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -40, Federal-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,39.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,13550.0,0.0,40.0, United-States,>50K -58, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -25, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,15.0, Mexico,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -55, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Assoc-voc,11.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, 12th,8.0, Divorced, Transport-moving, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,54.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -32, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -46, State-gov, 7th-8th,4.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,1579.0,20.0, United-States,<=50K -43, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Local-gov, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -60, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,38.0, China,>50K -67, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -48, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -19, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,90.0, United-States,<=50K -65, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -33, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,3908.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -75, Self-emp-inc, 11th,7.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -48, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,48.0, United-States,>50K -39, State-gov, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -67, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,20.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -59, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Unmarried, Black, Female,2036.0,0.0,30.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -68, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -49, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Black, Female,0.0,1602.0,35.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -48, Local-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,1848.0,40.0, United-States,>50K -52, Local-gov, 9th,5.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,66.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Masters,14.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,16.0, United-States,<=50K -46, Private, Bachelors,13.0, Separated, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Separated, Prof-specialty, Own-child, White, Female,0.0,3900.0,40.0, United-States,<=50K -29, Private, 5th-6th,3.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -48, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,30.0, South,<=50K -34, Self-emp-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -42, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,30.0, Columbia,<=50K -47, Private, 11th,7.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,22.0, United-States,<=50K -19, Local-gov, Some-college,10.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,70.0, United-States,<=50K -41, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Yugoslavia,<=50K -71, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2392.0,60.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -31, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,47.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -36, Private, 11th,7.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,12.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -27, Private, 12th,8.0, Married-civ-spouse, Farming-fishing, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, Canada,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -45, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,99.0, United-States,<=50K -44, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -51, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -64, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,10.0, United-States,>50K -54, Self-emp-not-inc, 7th-8th,4.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, Cuba,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -32, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, Black, Male,10520.0,0.0,43.0, United-States,>50K -26, Self-emp-not-inc, HS-grad,9.0, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,50.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Local-gov, HS-grad,9.0, Widowed, Transport-moving, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,32.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -37, Private, 10th,6.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -42, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -65, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,10.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -51, Federal-gov, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, 11th,7.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -32, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -77, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -57, State-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,35.0, United-States,>50K -40, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0.0,0.0,45.0, Mexico,<=50K -54, Federal-gov, 12th,8.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Local-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -17, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -58, Private, 11th,7.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Wife, Black, Female,0.0,0.0,35.0, United-States,>50K -49, Private, Masters,14.0, Married-spouse-absent, Protective-serv, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -43, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -39, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -50, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -57, Private, Some-college,10.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,38.0, United-States,<=50K -79, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -35, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -35, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1740.0,80.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -26, Private, 10th,6.0, Never-married, Farming-fishing, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, Black, Female,1506.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -50, Private, 10th,6.0, Separated, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,47.0, Jamaica,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -73, Private, 9th,5.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,9.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Hong,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -29, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -24, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, State-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -41, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,90.0, United-States,>50K -59, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, 5th-6th,3.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, 1st-4th,2.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,24.0, Mexico,<=50K -42, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Japan,<=50K -62, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -71, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -44, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -60, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -28, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Poland,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -43, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -65, Local-gov, 12th,8.0, Widowed, Exec-managerial, Not-in-family, White, Male,2009.0,0.0,44.0, United-States,<=50K -23, Private, 10th,6.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,44.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -20, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,18.0, Philippines,<=50K -77, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -59, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,45.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -59, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -29, Federal-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,38.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,594.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,28.0, United-States,>50K -42, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -29, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -29, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Private, Bachelors,13.0, Divorced, Sales, Unmarried, Black, Female,0.0,0.0,35.0, United-States,>50K -28, Private, Assoc-acdm,12.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -39, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -59, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,48.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,60.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -41, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -62, Private, Assoc-voc,11.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -28, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,60.0, United-States,<=50K -43, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,1887.0,40.0, United-States,>50K -55, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,3103.0,0.0,55.0, United-States,>50K -42, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,45.0, United-States,>50K -19, Private, 11th,7.0, Never-married, Sales, Own-child, Other, Female,0.0,0.0,32.0, Nicaragua,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -51, Private, HS-grad,9.0, Separated, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,90.0, United-States,<=50K -29, State-gov, Masters,14.0, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,20.0, Taiwan,<=50K -25, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,8614.0,0.0,40.0, United-States,>50K -44, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -42, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, 11th,7.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,28.0, United-States,<=50K -65, State-gov, 7th-8th,4.0, Widowed, Other-service, Other-relative, White, Female,0.0,0.0,24.0, United-States,<=50K -52, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,22.0, United-States,<=50K -53, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,18.0, United-States,<=50K -40, Local-gov, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Male,8614.0,0.0,50.0, United-States,>50K -49, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -86, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,60.0, United-States,>50K -43, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -47, Private, Some-college,10.0, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0.0,0.0,35.0, Puerto-Rico,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Local-gov, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,38.0, United-States,>50K -39, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1887.0,70.0, United-States,>50K -26, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,55.0, Puerto-Rico,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -64, State-gov, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -90, Self-emp-not-inc, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,2964.0,0.0,12.0, United-States,<=50K -51, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,2002.0,40.0, United-States,<=50K -39, Private, 7th-8th,4.0, Married-spouse-absent, Machine-op-inspct, Unmarried, Other, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -47, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -24, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Self-emp-not-inc, Bachelors,13.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -63, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -61, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,2907.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,52.0, United-States,<=50K -39, Local-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Local-gov, Bachelors,13.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,33.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -67, Self-emp-not-inc, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,2463.0,0.0,35.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,1831.0,0.0,30.0, United-States,<=50K -56, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2051.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,3325.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -52, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, Columbia,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 12th,8.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 7th-8th,4.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -52, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -33, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -35, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,50.0, Haiti,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,70.0, United-States,>50K -38, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -41, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -19, Private, 11th,7.0, Never-married, Transport-moving, Other-relative, White, Male,0.0,0.0,10.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -59, Private, Assoc-acdm,12.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,45.0, United-States,>50K -31, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,15024.0,0.0,40.0, United-States,>50K -41, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,24.0, El-Salvador,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -46, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, Portugal,<=50K -20, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -28, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -66, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -25, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -55, Federal-gov, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -48, Local-gov, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1902.0,40.0, United-States,<=50K -56, Private, Some-college,10.0, Widowed, Craft-repair, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -47, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -55, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -40, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male,6849.0,0.0,43.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, Other, Female,0.0,0.0,20.0, United-States,<=50K -52, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, Doctorate,16.0, Divorced, Prof-specialty, Unmarried, White, Male,15020.0,0.0,50.0, United-States,>50K -46, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -35, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,3908.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, India,>50K -35, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,1902.0,40.0, Taiwan,>50K -34, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -41, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,65.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -77, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -29, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -54, Private, Preschool,1.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -39, State-gov, Some-college,10.0, Separated, Prof-specialty, Unmarried, Black, Female,0.0,0.0,37.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -24, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -50, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -32, Self-emp-not-inc, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -47, Private, Bachelors,13.0, Widowed, Craft-repair, Unmarried, Black, Female,6497.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -37, Private, Some-college,10.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, Masters,14.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -52, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -29, State-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Thailand,<=50K -39, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,14084.0,0.0,35.0, United-States,>50K -39, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -69, Private, Bachelors,13.0, Widowed, Exec-managerial, Not-in-family, White, Female,2346.0,0.0,15.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1628.0,48.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -60, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,3137.0,0.0,40.0, United-States,<=50K -75, Private, Some-college,10.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -37, State-gov, Assoc-voc,11.0, Never-married, Prof-specialty, Unmarried, Black, Female,5455.0,0.0,40.0, United-States,<=50K -20, Private, 11th,7.0, Never-married, Other-service, Own-child, Black, Male,594.0,0.0,20.0, United-States,<=50K -58, Federal-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -21, State-gov, Masters,14.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -28, Private, HS-grad,9.0, Separated, Protective-serv, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,40.0, United-States,>50K -41, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, Mexico,<=50K -45, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -51, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,35.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, 7th-8th,4.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,38.0, Columbia,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -32, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,5013.0,0.0,45.0, United-States,<=50K -70, Local-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,12.0, United-States,<=50K -57, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -34, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -26, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,78.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -66, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -61, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,50.0, Mexico,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,8.0, United-States,<=50K -58, Local-gov, 9th,5.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,12.0, Puerto-Rico,<=50K -56, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,26.0, United-States,<=50K -36, Private, Some-college,10.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 10th,6.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,30.0, United-States,<=50K -61, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -66, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,25.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -21, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -67, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,6418.0,0.0,58.0, United-States,>50K -26, Private, HS-grad,9.0, Widowed, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -59, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,10605.0,0.0,50.0, United-States,>50K -82, Self-emp-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -29, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, France,>50K -19, Private, Some-college,10.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,1.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -55, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, Black, Male,2580.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -43, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,>50K -72, Federal-gov, Some-college,10.0, Widowed, Tech-support, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -68, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Separated, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male,99999.0,0.0,70.0, United-States,>50K -54, Private, 5th-6th,3.0, Married-spouse-absent, Other-service, Unmarried, Black, Female,0.0,0.0,30.0, Haiti,<=50K -32, Private, Assoc-acdm,12.0, Separated, Exec-managerial, Unmarried, White, Female,25236.0,0.0,50.0, United-States,>50K -56, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,1974.0,40.0, United-States,<=50K -41, State-gov, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -48, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -25, Self-emp-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1573.0,40.0, United-States,<=50K -32, Private, Assoc-acdm,12.0, Divorced, Sales, Not-in-family, White, Male,2597.0,0.0,48.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, Black, Female,0.0,2339.0,40.0, Trinadad&Tobago,<=50K -31, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Transport-moving, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, State-gov, HS-grad,9.0, Never-married, Other-service, Other-relative, Other, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -65, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -56, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -51, State-gov, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -44, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -49, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -47, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, Black, Male,8614.0,0.0,44.0, United-States,>50K -22, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,2444.0,45.0, United-States,>50K -41, Local-gov, Some-college,10.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,2001.0,40.0, United-States,<=50K -27, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,3325.0,0.0,43.0, United-States,<=50K -48, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,25.0, United-States,>50K -52, Private, 7th-8th,4.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,7.0, United-States,<=50K -61, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -45, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, China,>50K -29, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,21.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, Black, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,24.0, United-States,<=50K -47, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,10.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -43, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Federal-gov, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, Mexico,<=50K -27, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Assoc-acdm,12.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,60.0, United-States,<=50K -67, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, 11th,7.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -51, Self-emp-not-inc, Assoc-acdm,12.0, Separated, Sales, Not-in-family, Black, Male,0.0,0.0,30.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,3464.0,0.0,45.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, 7th-8th,4.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,19.0, United-States,<=50K -62, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,20.0, United-States,<=50K -54, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -55, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -27, Private, Masters,14.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,14344.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,80.0, Philippines,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 11th,7.0, Divorced, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -60, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Separated, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,35.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -49, State-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -83, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2392.0,55.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1485.0,60.0, United-States,<=50K -46, Local-gov, 11th,7.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Other, Female,0.0,0.0,50.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -60, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -30, Local-gov, Assoc-voc,11.0, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,17.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0.0,0.0,35.0, United-States,<=50K -73, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,24.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,20.0, United-States,<=50K -60, Private, 10th,6.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -54, State-gov, Doctorate,16.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -50, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, Black, Male,0.0,0.0,22.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -58, Private, 1st-4th,2.0, Separated, Farming-fishing, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -55, State-gov, Assoc-acdm,12.0, Divorced, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -47, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -63, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -38, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,52.0, Mexico,<=50K -40, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,50.0, Mexico,<=50K -33, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Male,4934.0,0.0,36.0, United-States,>50K -25, Self-emp-not-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,13550.0,0.0,35.0, United-States,>50K -54, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1740.0,60.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Federal-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -47, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -40, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -26, Private, Assoc-acdm,12.0, Separated, Craft-repair, Not-in-family, Other, Female,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -60, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -31, Private, 11th,7.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -29, Private, HS-grad,9.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, 9th,5.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Some-college,10.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -51, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, 7th-8th,4.0, Widowed, Farming-fishing, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1672.0,45.0, United-States,<=50K -42, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Self-emp-inc, Masters,14.0, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,99.0, Japan,>50K -69, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -29, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,2174.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -48, Private, 11th,7.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -52, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -56, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -36, Private, Some-college,10.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, 9th,5.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -70, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -57, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,50.0, United-States,<=50K -50, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -68, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2377.0,55.0, United-States,>50K -28, Private, 11th,7.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, Mexico,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,10520.0,0.0,50.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -38, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -53, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, Mexico,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -48, Private, 9th,5.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Separated, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,50.0, Peru,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -55, Local-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -50, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,65.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, Black, Male,0.0,0.0,30.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -32, Private, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -43, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -37, State-gov, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,1408.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, 10th,6.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, Dominican-Republic,<=50K -34, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -53, Private, 10th,6.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -42, Private, Preschool,1.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Nicaragua,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -81, Private, Bachelors,13.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -49, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -46, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -56, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,1980.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -34, Private, Bachelors,13.0, Separated, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -29, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -35, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,37.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, Columbia,<=50K -52, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,95.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, Canada,<=50K -29, Private, Some-college,10.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -29, State-gov, 10th,6.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,15.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -24, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -32, State-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,4650.0,0.0,48.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, 7th-8th,4.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Without-pay, Assoc-acdm,12.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -32, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,64.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -57, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -35, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -49, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -38, Private, 11th,7.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,32.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Columbia,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -46, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,25.0, United-States,>50K -47, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -36, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -37, Private, 11th,7.0, Married-spouse-absent, Other-service, Other-relative, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -36, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2635.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,914.0,0.0,40.0, United-States,<=50K -42, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -35, Federal-gov, Some-college,10.0, Never-married, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -48, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -24, Private, HS-grad,9.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,40.0, Japan,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -34, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,42.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, Other, Male,0.0,0.0,24.0, Peru,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,65.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -20, Private, 12th,8.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -37, Private, Doctorate,16.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Columbia,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3464.0,0.0,40.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,35.0, Jamaica,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -57, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -37, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -35, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -17, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -36, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,3942.0,0.0,35.0, United-States,<=50K -27, State-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,77.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1740.0,30.0, United-States,<=50K -29, Self-emp-not-inc, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,99999.0,0.0,60.0, United-States,>50K -25, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-inc, Assoc-acdm,12.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,67.0, United-States,<=50K -29, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,25.0, United-States,>50K -43, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -40, Private, Bachelors,13.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -53, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -72, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -46, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, Some-college,10.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -22, Private, 9th,5.0, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -46, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -32, Private, Preschool,1.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -48, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -25, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103.0,0.0,46.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -68, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051.0,0.0,45.0, United-States,>50K -19, Private, 12th,8.0, Never-married, Farming-fishing, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -35, Self-emp-inc, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,2597.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,41.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Private, Some-college,10.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,85.0, United-States,>50K -23, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -67, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -57, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, Peru,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,50.0, United-States,>50K -24, State-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,49.0, United-States,>50K -48, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,47.0, United-States,>50K -38, Private, HS-grad,9.0, Separated, Protective-serv, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -23, Private, Some-college,10.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -39, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, 7th-8th,4.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -54, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, State-gov, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Bachelors,13.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,991.0,0.0,18.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, Germany,<=50K -51, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -58, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,24.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,3325.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,1617.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Male,3887.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, 10th,6.0, Divorced, Prof-specialty, Unmarried, White, Male,14344.0,0.0,68.0, United-States,>50K -29, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,42.0, United-States,<=50K -28, Private, 11th,7.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -18, Self-emp-not-inc, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -56, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, Mexico,<=50K -41, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,50.0, United-States,<=50K -50, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,60.0, United-States,>50K -74, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1648.0,35.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Widowed, Craft-repair, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, Mexico,<=50K -36, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,1628.0,30.0, United-States,<=50K -37, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386.0,0.0,50.0, United-States,>50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -40, Self-emp-inc, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Self-emp-inc, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Never-married, Tech-support, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, Mexico,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0.0,0.0,35.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Assoc-voc,11.0, Divorced, Tech-support, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, Germany,<=50K -44, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Tech-support, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -39, State-gov, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -26, Local-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, Peru,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, 7th-8th,4.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -72, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2246.0,28.0, United-States,>50K -26, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,1876.0,38.0, United-States,<=50K -45, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Local-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, Peru,<=50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -53, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -23, Private, 9th,5.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,35.0, Mexico,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, 12th,8.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,2258.0,38.0, United-States,>50K -21, State-gov, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, Assoc-acdm,12.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -46, Private, Prof-school,15.0, Divorced, Farming-fishing, Unmarried, White, Male,0.0,0.0,48.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,86.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,54.0, United-States,<=50K -27, Local-gov, Bachelors,13.0, Never-married, Transport-moving, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Other, Male,0.0,0.0,40.0, India,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -63, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, State-gov, Assoc-voc,11.0, Married-spouse-absent, Protective-serv, Own-child, White, Female,0.0,0.0,40.0, Germany,<=50K -20, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -28, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,38.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,56.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2051.0,44.0, United-States,<=50K -50, Local-gov, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -54, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,55.0, United-States,>50K -42, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,12.0, England,<=50K -63, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -21, Private, 9th,5.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,48.0, Mexico,<=50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -37, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Female,0.0,0.0,45.0, Mexico,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,72.0, Canada,>50K -19, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,1602.0,20.0, United-States,<=50K -61, Private, 9th,5.0, Widowed, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,65.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -40, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -55, Local-gov, Some-college,10.0, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -64, Private, HS-grad,9.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,23.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Some-college,10.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1485.0,55.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Federal-gov, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -19, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,18.0, United-States,<=50K -56, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Local-gov, 9th,5.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -69, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,991.0,0.0,18.0, United-States,<=50K -62, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -62, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,7298.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Self-emp-inc, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,6418.0,0.0,35.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -52, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7688.0,0.0,20.0, China,>50K -48, Federal-gov, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,1471.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -37, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,45.0, United-States,<=50K -67, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Private, HS-grad,9.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,52.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -19, Private, 9th,5.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,16.0, Mexico,<=50K -24, Private, 7th-8th,4.0, Separated, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,3908.0,0.0,45.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -24, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -55, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, 9th,5.0, Widowed, Sales, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -26, Private, Some-college,10.0, Separated, Sales, Own-child, Amer-Indian-Eskimo, Male,2597.0,0.0,48.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, 1st-4th,2.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,2354.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,62.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Widowed, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, 9th,5.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,55.0, United-States,>50K -25, Private, 11th,7.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -43, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,45.0, India,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Male,1055.0,0.0,20.0, United-States,<=50K -40, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,75.0, United-States,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,1579.0,40.0, United-States,<=50K -35, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, State-gov, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1848.0,55.0, United-States,>50K -54, Private, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -28, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Female,0.0,0.0,42.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,32.0, United-States,<=50K -44, Private, 11th,7.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,44.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 10th,6.0, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,37.0, China,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -53, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Assoc-voc,11.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -33, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -66, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -43, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -46, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -60, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137.0,0.0,40.0, Poland,<=50K -63, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 9th,5.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,0.0,40.0, Mexico,<=50K -30, Private, Some-college,10.0, Never-married, Farming-fishing, Other-relative, Black, Male,0.0,0.0,72.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -49, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -65, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,17.0, United-States,<=50K -35, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -27, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -18, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -41, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1340.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,38.0, El-Salvador,<=50K -47, Private, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,20.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -44, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-spouse-absent, Sales, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Local-gov, Assoc-voc,11.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,1564.0,56.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -49, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -35, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -37, Local-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -26, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -59, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -70, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,5.0, United-States,<=50K -53, Federal-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, France,>50K -39, Private, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Separated, Tech-support, Unmarried, White, Female,0.0,0.0,50.0, Columbia,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -74, Private, 10th,6.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,1.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -29, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -39, Private, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -50, Local-gov, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,4650.0,0.0,70.0, United-States,<=50K -31, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,25.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,30.0, United-States,<=50K -57, Local-gov, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Preschool,1.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -36, Self-emp-inc, Some-college,10.0, Divorced, Sales, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,55.0, United-States,<=50K -51, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Assoc-acdm,12.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -51, Local-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, State-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -39, Private, 10th,6.0, Separated, Other-service, Own-child, Black, Female,0.0,0.0,12.0, United-States,<=50K -23, Private, Preschool,1.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -26, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Local-gov, HS-grad,9.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Separated, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,42.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -57, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,1485.0,40.0, China,<=50K -37, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,3103.0,0.0,48.0, United-States,>50K -37, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -25, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -61, State-gov, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,2414.0,0.0,15.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Cuba,>50K -29, Private, HS-grad,9.0, Married-AF-spouse, Transport-moving, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -49, Self-emp-not-inc, 9th,5.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1977.0,20.0, United-States,>50K -32, Private, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,16.0, United-States,<=50K -48, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -31, State-gov, HS-grad,9.0, Never-married, Protective-serv, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, 9th,5.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -52, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,48.0, Cuba,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 7th-8th,4.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,>50K -31, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1564.0,40.0, United-States,>50K -40, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -28, Local-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 12th,8.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,25.0, Thailand,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, England,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, Black, Male,0.0,0.0,48.0, United-States,>50K -30, Private, 7th-8th,4.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -75, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,2653.0,0.0,20.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -21, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Iran,>50K -59, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -33, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,99999.0,0.0,30.0, United-States,>50K -24, Private, 7th-8th,4.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -24, Private, 5th-6th,3.0, Never-married, Farming-fishing, Other-relative, Black, Male,0.0,0.0,40.0, Mexico,<=50K -29, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,45.0, Jamaica,<=50K -36, Federal-gov, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -58, State-gov, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,15024.0,0.0,40.0, United-States,>50K -45, Private, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,1408.0,40.0, United-States,<=50K -38, Private, 11th,7.0, Married-spouse-absent, Transport-moving, Own-child, White, Male,0.0,0.0,36.0, Mexico,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Assoc-voc,11.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,6.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,24.0, United-States,<=50K -47, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,1831.0,0.0,38.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,42.0, United-States,<=50K -42, Self-emp-not-inc, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,60.0, United-States,>50K -52, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,46.0, United-States,>50K -45, Local-gov, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -74, Private, 10th,6.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -23, Self-emp-inc, Bachelors,13.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,30.0, United-States,>50K -23, Private, Preschool,1.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Laos,<=50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, White, Male,4650.0,0.0,35.0, United-States,<=50K -19, Self-emp-inc, Some-college,10.0, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0.0,0.0,35.0, South,<=50K -23, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,4101.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Tech-support, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, 12th,8.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,3103.0,0.0,40.0, United-States,>50K -32, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -18, Self-emp-not-inc, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -24, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Widowed, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -36, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -44, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1669.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Sales, Own-child, White, Male,0.0,1380.0,70.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024.0,0.0,40.0, United-States,>50K -58, Private, Bachelors,13.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,48.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,55.0, United-States,<=50K -52, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -46, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,8614.0,0.0,40.0, United-States,>50K -50, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -34, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, Germany,>50K -43, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,28.0, United-States,<=50K -60, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -34, Self-emp-not-inc, 7th-8th,4.0, Never-married, Handlers-cleaners, Unmarried, Black, Male,0.0,0.0,10.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -69, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -32, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -61, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3411.0,0.0,45.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -51, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,2559.0,50.0, United-States,>50K -44, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,80.0, United-States,>50K -24, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Masters,14.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -69, Federal-gov, 11th,7.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -41, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,10.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -39, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -51, Federal-gov, Bachelors,13.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,>50K -51, Private, 10th,6.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,1741.0,50.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Prof-school,15.0, Never-married, Prof-specialty, Unmarried, White, Male,27828.0,0.0,45.0, Germany,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,9.0, United-States,>50K -40, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -21, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, Assoc-voc,11.0, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,>50K -32, Private, 12th,8.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -43, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,85.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -44, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -37, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Private, 9th,5.0, Separated, Craft-repair, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,10.0, United-States,<=50K -46, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -54, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1672.0,50.0, United-States,<=50K -56, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, Germany,<=50K -27, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Mexico,<=50K -41, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -37, Private, 10th,6.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 5th-6th,3.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,25.0, Mexico,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,51.0, United-States,<=50K -24, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0.0,0.0,35.0, Taiwan,<=50K -55, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -64, Local-gov, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,99.0, United-States,<=50K -46, Federal-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, Germany,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3137.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,3325.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,35.0, United-States,<=50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,80.0, United-States,>50K -36, Private, 10th,6.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,34.0, United-States,<=50K -44, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0.0,0.0,40.0, Nicaragua,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -41, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, Mexico,>50K -20, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,30.0, Puerto-Rico,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,99999.0,0.0,40.0, United-States,>50K -38, Self-emp-inc, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,30.0, India,<=50K -40, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Other-relative, White, Male,3137.0,0.0,40.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1848.0,45.0, United-States,>50K -45, State-gov, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -76, Local-gov, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,13.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Local-gov, Masters,14.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,70.0, United-States,<=50K -36, Local-gov, Assoc-voc,11.0, Never-married, Protective-serv, Not-in-family, Black, Female,0.0,0.0,60.0, United-States,>50K -22, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -47, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,44.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-AF-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -21, Private, Some-college,10.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Assoc-voc,11.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -31, Self-emp-not-inc, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, England,<=50K -57, Local-gov, Masters,14.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, 11th,7.0, Divorced, Sales, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, Black, Male,14344.0,0.0,40.0, England,>50K -66, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,32.0, United-States,>50K -49, Local-gov, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -48, Self-emp-not-inc, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,3325.0,0.0,60.0, United-States,<=50K -19, State-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,594.0,0.0,24.0, United-States,<=50K -42, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -63, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, 9th,5.0, Divorced, Other-service, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1628.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -45, Local-gov, 11th,7.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -47, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, England,<=50K -49, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Widowed, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,2176.0,0.0,35.0, United-States,<=50K -59, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -41, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Assoc-acdm,12.0, Widowed, Tech-support, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -54, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,2174.0,0.0,45.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -54, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,44.0, United-States,>50K -32, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,49.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1672.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,66.0, United-States,>50K -28, Private, 10th,6.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,1980.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -54, Local-gov, 10th,6.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -37, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,48.0, United-States,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Canada,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -32, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Other-relative, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -40, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -19, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,53.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -40, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,38.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,10605.0,0.0,20.0, United-States,>50K -41, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -32, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -25, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -33, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,23.0, United-States,<=50K -58, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -30, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -67, State-gov, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,8.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -53, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -29, Without-pay, Some-college,10.0, Married-civ-spouse, Farming-fishing, Own-child, White, Male,0.0,0.0,65.0, United-States,<=50K -38, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 9th,5.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -28, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -30, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,2174.0,0.0,50.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,25.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -54, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -43, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -48, State-gov, Masters,14.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,72.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -45, Private, Some-college,10.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,41.0, United-States,<=50K -29, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -33, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,3103.0,0.0,42.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1977.0,24.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -39, Private, 11th,7.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -41, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, 1st-4th,2.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -51, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, Some-college,10.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -51, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -43, State-gov, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -25, State-gov, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,2597.0,0.0,50.0, United-States,<=50K -36, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,2407.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,<=50K -45, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,46.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 12th,8.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, State-gov, Some-college,10.0, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,38.0, Philippines,<=50K -42, State-gov, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -59, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,2580.0,0.0,15.0, El-Salvador,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2885.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,30.0, United-States,<=50K -31, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -43, Private, Some-college,10.0, Separated, Transport-moving, Unmarried, White, Male,4934.0,0.0,51.0, United-States,>50K -48, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,2001.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0.0,0.0,10.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Other-relative, White, Female,0.0,0.0,50.0, United-States,<=50K -46, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -52, Private, 9th,5.0, Separated, Other-service, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -27, State-gov, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,12.0, United-States,<=50K -28, Private, 11th,7.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, Nicaragua,<=50K -50, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -61, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -32, Private, 7th-8th,4.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -30, Federal-gov, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Local-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,2444.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,2258.0,70.0, United-States,<=50K -28, Private, Some-college,10.0, Divorced, Other-service, Other-relative, Black, Male,0.0,0.0,24.0, United-States,<=50K -49, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -61, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -41, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -55, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -49, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,37.0, United-States,>50K -59, Private, 11th,7.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,80.0, United-States,>50K -59, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -45, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -25, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -53, Self-emp-inc, Some-college,10.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, 9th,5.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, Guatemala,<=50K -60, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -56, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -36, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,27828.0,0.0,40.0, United-States,>50K -56, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -29, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1740.0,70.0, United-States,<=50K -19, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,39.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Federal-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -22, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -32, State-gov, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, Guatemala,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0.0,0.0,40.0, Iran,>50K -22, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, Bachelors,13.0, Separated, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,54.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -42, Private, Preschool,1.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -33, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -39, Private, Some-college,10.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, 12th,8.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, Some-college,10.0, Widowed, Craft-repair, Not-in-family, Black, Male,0.0,0.0,35.0, United-States,<=50K -43, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -47, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,>50K -61, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, India,<=50K -39, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -47, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,51.0, United-States,<=50K -69, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,8.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, Other, Male,0.0,0.0,14.0, United-States,<=50K -42, Private, HS-grad,9.0, Separated, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, Poland,<=50K -30, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -28, Private, Masters,14.0, Married-spouse-absent, Sales, Not-in-family, White, Female,0.0,0.0,80.0, United-States,>50K -27, Private, Assoc-voc,11.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1651.0,40.0, United-States,<=50K -22, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Separated, Protective-serv, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,1887.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -30, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,37.0, United-States,<=50K -27, Private, Bachelors,13.0, Divorced, Prof-specialty, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -70, Private, 10th,6.0, Widowed, Craft-repair, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -34, Private, 11th,7.0, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male,0.0,0.0,55.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, Masters,14.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, Japan,<=50K -60, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -26, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7298.0,0.0,55.0, United-States,>50K -27, Private, Prof-school,15.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -53, State-gov, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -24, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -60, Private, 10th,6.0, Widowed, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,99.0, United-States,>50K -34, Private, 10th,6.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -35, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, 9th,5.0, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,4508.0,0.0,90.0, United-States,<=50K -53, Local-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -53, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,1876.0,54.0, United-States,<=50K -32, Private, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -62, Private, 10th,6.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -73, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -26, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, Vietnam,<=50K -51, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,13550.0,0.0,45.0, United-States,>50K -35, Self-emp-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,>50K -41, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Craft-repair, Own-child, White, Male,4650.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -46, Local-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -31, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -41, Self-emp-inc, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, Honduras,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -53, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, White, Female,4787.0,0.0,43.0, United-States,>50K -36, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Taiwan,<=50K -32, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,72.0, Mexico,<=50K -20, Private, 11th,7.0, Never-married, Transport-moving, Other-relative, White, Male,0.0,0.0,40.0, Guatemala,<=50K -22, Private, Some-college,10.0, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,32.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -48, State-gov, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,8614.0,0.0,40.0, United-States,>50K -20, Private, 1st-4th,2.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,30.0, El-Salvador,<=50K -60, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,30.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -22, Private, 11th,7.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -44, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, Canada,<=50K -31, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,3908.0,0.0,50.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, 7th-8th,4.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,6.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -36, Private, 12th,8.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -62, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,2339.0,40.0, Canada,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -59, Private, Prof-school,15.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,15024.0,0.0,50.0, United-States,>50K -37, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -29, Private, 11th,7.0, Separated, Sales, Not-in-family, White, Female,0.0,2754.0,42.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -62, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,55.0, United-States,>50K -28, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -46, Federal-gov, Masters,14.0, Married-civ-spouse, Armed-Forces, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -54, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Poland,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, 12th,8.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -57, Local-gov, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, Some-college,10.0, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, 11th,7.0, Widowed, Other-service, Own-child, White, Female,0.0,0.0,47.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -31, Private, Some-college,10.0, Separated, Sales, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -45, Local-gov, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -39, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -54, Private, Masters,14.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -40, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,5455.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-inc, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,99.0, United-States,>50K -46, Self-emp-not-inc, HS-grad,9.0, Widowed, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,594.0,0.0,25.0, United-States,<=50K -48, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, England,<=50K -73, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -53, Federal-gov, Some-college,10.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -37, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,50.0, United-States,<=50K -62, Local-gov, 9th,5.0, Divorced, Protective-serv, Not-in-family, Black, Male,0.0,0.0,24.0, United-States,<=50K -45, Local-gov, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,7298.0,0.0,40.0, United-States,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,35.0, United-States,>50K -42, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,38.0, United-States,>50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,7298.0,0.0,39.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, Black, Female,0.0,0.0,40.0, France,<=50K -54, Private, 5th-6th,3.0, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -48, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,47.0, United-States,<=50K -55, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, HS-grad,9.0, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0.0,0.0,20.0, United-States,<=50K -51, Private, HS-grad,9.0, Widowed, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -35, Private, Masters,14.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -64, Self-emp-not-inc, HS-grad,9.0, Widowed, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,55.0, Mexico,<=50K -49, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,35.0, Philippines,<=50K -38, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -62, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -45, Self-emp-not-inc, Masters,14.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -50, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,55.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -52, Federal-gov, Some-college,10.0, Separated, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,>50K -62, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,1590.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, 12th,8.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 11th,7.0, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, India,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Other, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Separated, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Never-married, Tech-support, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -31, Local-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -41, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,70.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,70.0, United-States,>50K -66, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -37, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -74, State-gov, 7th-8th,4.0, Widowed, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -46, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,70.0, United-States,>50K -51, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -30, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464.0,0.0,40.0, Mexico,<=50K -47, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -49, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, Black, Female,0.0,0.0,48.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Self-emp-inc, HS-grad,9.0, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,3325.0,0.0,45.0, United-States,<=50K -37, State-gov, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -48, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,61.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -69, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Male,0.0,0.0,8.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -47, Private, 12th,8.0, Never-married, Adm-clerical, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -46, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,3674.0,0.0,30.0, United-States,<=50K -27, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -18, Private, HS-grad,9.0, Married-civ-spouse, Priv-house-serv, Not-in-family, White, Female,3103.0,0.0,40.0, United-States,<=50K -24, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Preschool,1.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,36.0, Hong,<=50K -28, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -38, Self-emp-not-inc, Some-college,10.0, Separated, Sales, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,60.0, Japan,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -46, Private, 9th,5.0, Separated, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, Ireland,<=50K -53, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,54.0, United-States,<=50K -21, Private, Assoc-acdm,12.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -48, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,3103.0,0.0,52.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -32, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, State-gov, Doctorate,16.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -56, Private, 7th-8th,4.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,37.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Iran,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -49, Private, Assoc-voc,11.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -50, Self-emp-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,84.0, United-States,>50K -34, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,48.0, United-States,<=50K -28, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,44.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -51, Local-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Married-spouse-absent, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,31.0, Laos,<=50K -31, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -22, Local-gov, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -67, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -63, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Local-gov, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -44, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,99.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Divorced, Tech-support, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -61, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -31, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,36.0, United-States,>50K -66, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -69, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051.0,0.0,45.0, United-States,>50K -64, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,36.0, United-States,>50K -43, Local-gov, Some-college,10.0, Separated, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,49.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -59, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -56, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,34.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -68, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -22, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -17, Local-gov, 11th,7.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,10520.0,0.0,50.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0.0,0.0,23.0, United-States,<=50K -25, Private, 12th,8.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,60.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -52, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,33.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,2444.0,45.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,10605.0,0.0,35.0, United-States,>50K -60, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,15.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Divorced, Farming-fishing, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -65, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5556.0,0.0,50.0, United-States,>50K -33, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -43, Private, Prof-school,15.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, State-gov, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,24.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, Black, Male,0.0,0.0,50.0, United-States,<=50K -39, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, Masters,14.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -52, Local-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -22, Private, 12th,8.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,30.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -55, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,30.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, Cuba,>50K -25, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, Black, Female,0.0,1602.0,20.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,28.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -71, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -59, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Ireland,<=50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Not-in-family, Black, Female,0.0,0.0,15.0, United-States,<=50K -57, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -17, Self-emp-not-inc, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -41, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -41, Private, 5th-6th,3.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -39, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -40, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -38, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1485.0,60.0, Cuba,>50K -24, Private, HS-grad,9.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, Prof-school,15.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -51, Self-emp-inc, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,27828.0,0.0,60.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,2829.0,0.0,45.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -42, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,16.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,80.0, United-States,<=50K -39, Private, Some-college,10.0, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 10th,6.0, Divorced, Sales, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -28, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -51, Local-gov, Prof-school,15.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,43.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -49, Local-gov, 11th,7.0, Divorced, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Federal-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,>50K -54, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,55.0, South,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -68, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,44.0, United-States,<=50K -64, Private, Doctorate,16.0, Widowed, Prof-specialty, Not-in-family, White, Male,0.0,0.0,80.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -61, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,10.0, Greece,<=50K -49, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Private, Some-college,10.0, Separated, Priv-house-serv, Other-relative, White, Female,0.0,0.0,30.0, El-Salvador,<=50K -29, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -57, Federal-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1741.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -47, Private, Prof-school,15.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -59, Self-emp-inc, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -42, State-gov, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,>50K -64, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -29, Federal-gov, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, State-gov, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -62, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,10520.0,0.0,45.0, United-States,>50K -21, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -46, Private, 10th,6.0, Divorced, Machine-op-inspct, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -44, Federal-gov, Bachelors,13.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,2258.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,19.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,5013.0,0.0,32.0, United-States,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -63, Private, 1st-4th,2.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -17, Private, 9th,5.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,22.0, United-States,<=50K -45, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1485.0,50.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, State-gov, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Columbia,<=50K -43, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 12th,8.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,55.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -50, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, HS-grad,9.0, Separated, Other-service, Other-relative, White, Male,0.0,0.0,35.0, United-States,<=50K -18, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,15.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -40, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -36, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -39, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, Ecuador,<=50K -28, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Local-gov, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Nicaragua,<=50K -42, State-gov, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,60.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3411.0,0.0,35.0, Guatemala,<=50K -21, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Mexico,<=50K -35, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -67, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Masters,14.0, Never-married, Tech-support, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -51, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -27, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,48.0, United-States,>50K -52, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -46, Private, 7th-8th,4.0, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -79, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -50, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,>50K -43, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Male,2174.0,0.0,40.0, United-States,<=50K -51, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -65, Private, HS-grad,9.0, Separated, Protective-serv, Not-in-family, White, Male,991.0,0.0,20.0, United-States,<=50K -66, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,5.0, United-States,>50K -36, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -39, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, Mexico,<=50K -29, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1848.0,50.0, United-States,>50K -44, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,3325.0,0.0,40.0, United-States,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, Private, HS-grad,9.0, Widowed, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, 11th,7.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,1408.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, 5th-6th,3.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -37, Self-emp-not-inc, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,2559.0,60.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -41, Private, Masters,14.0, Widowed, Prof-specialty, Not-in-family, White, Female,4650.0,0.0,55.0, United-States,<=50K -19, Private, 9th,5.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,60.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -40, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -53, Private, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,50.0, England,>50K -29, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -25, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -48, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,1408.0,50.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -48, Private, Bachelors,13.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -50, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -50, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -42, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,3471.0,0.0,40.0, United-States,<=50K -57, Private, Some-college,10.0, Widowed, Tech-support, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,>50K -31, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Masters,14.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1672.0,38.0, United-States,<=50K -35, State-gov, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, India,<=50K -41, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,1602.0,15.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1579.0,50.0, United-States,<=50K -56, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -35, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -53, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Masters,14.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,20.0, Canada,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -22, Private, 12th,8.0, Never-married, Transport-moving, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, White, Male,25236.0,0.0,40.0, United-States,>50K -65, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, Columbia,<=50K -33, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, State-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,3103.0,0.0,40.0, India,>50K -23, Private, Some-college,10.0, Divorced, Sales, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-inc, Bachelors,13.0, Divorced, Farming-fishing, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Own-child, White, Female,2597.0,0.0,40.0, Japan,<=50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,36.0, Jamaica,<=50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, 11th,7.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,35.0, United-States,>50K -34, Private, Assoc-acdm,12.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, Peru,<=50K -27, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Prof-specialty, Other-relative, White, Male,0.0,0.0,30.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,45.0, Cuba,<=50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Self-emp-not-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -42, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -29, Federal-gov, Some-college,10.0, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,45.0, Outlying-US(Guam-USVI-etc),<=50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -29, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -33, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,2105.0,0.0,40.0, United-States,<=50K -46, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -35, Private, Some-college,10.0, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,42.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,84.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -59, Self-emp-inc, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -60, Private, Bachelors,13.0, Divorced, Exec-managerial, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,30.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -36, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1977.0,40.0, Japan,>50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -43, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,55.0, United-States,<=50K -54, Private, Assoc-voc,11.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, 12th,8.0, Never-married, Farming-fishing, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,84.0, United-States,>50K -28, Private, 1st-4th,2.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, Mexico,<=50K -68, Private, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, Cuba,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Laos,<=50K -20, Private, 9th,5.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,30.0, Mexico,<=50K -24, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -47, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,2174.0,0.0,40.0, England,<=50K -28, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -32, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,35.0, United-States,>50K -38, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -43, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, 12th,8.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0.0,0.0,20.0, United-States,<=50K -25, Private, 9th,5.0, Never-married, Handlers-cleaners, Own-child, Black, Male,2907.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, Black, Male,2354.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, 7th-8th,4.0, Widowed, Other-service, Unmarried, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Local-gov, HS-grad,9.0, Separated, Transport-moving, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -29, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,2042.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -41, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,1977.0,60.0, Taiwan,>50K -60, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,42.0, United-States,>50K -60, Private, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, 12th,8.0, Divorced, Transport-moving, Other-relative, Black, Male,0.0,0.0,35.0, United-States,<=50K -34, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,32.0, Canada,>50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, 7th-8th,4.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,33.0, United-States,<=50K -40, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Separated, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -43, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,24.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -36, Local-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -59, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -54, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-inc, Some-college,10.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Own-child, Black, Female,0.0,0.0,50.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,>50K -51, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -31, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,6.0, South,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, 11th,7.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,30.0, Mexico,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -61, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -49, Private, HS-grad,9.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, Mexico,<=50K -52, Private, Preschool,1.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,13550.0,0.0,35.0, United-States,>50K -76, Private, 7th-8th,4.0, Widowed, Protective-serv, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,2829.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,60.0, Nicaragua,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, State-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,4.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,12.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -44, Private, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,52.0, Jamaica,<=50K -62, Local-gov, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -35, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,32.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,38.0, United-States,<=50K -59, State-gov, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Separated, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,32.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Germany,<=50K -32, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, Iran,>50K -62, Private, Some-college,10.0, Separated, Sales, Unmarried, White, Female,0.0,1617.0,33.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,70.0, United-States,>50K -54, Private, Bachelors,13.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,36.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -38, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,6849.0,0.0,60.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, State-gov, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -74, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -50, State-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -50, Private, Assoc-voc,11.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,<=50K -47, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Iran,>50K -39, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,1380.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Other-relative, Black, Female,0.0,0.0,37.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -35, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, Germany,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, State-gov, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,44.0, United-States,<=50K -50, Private, Bachelors,13.0, Separated, Prof-specialty, Own-child, Other, Female,0.0,0.0,40.0, United-States,<=50K -36, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,36.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -49, Private, HS-grad,9.0, Separated, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -22, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -67, Private, 11th,7.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Other, Female,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024.0,0.0,32.0, United-States,>50K -49, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -41, Private, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, Black, Female,99999.0,0.0,60.0, United-States,>50K -38, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,99.0, United-States,>50K -40, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -46, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,22.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,5178.0,0.0,40.0, United-States,>50K -24, Private, Assoc-acdm,12.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -54, Private, Preschool,1.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -23, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Self-emp-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -41, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -62, State-gov, Assoc-voc,11.0, Widowed, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-spouse-absent, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, Yugoslavia,>50K -31, Private, HS-grad,9.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -62, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -27, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Federal-gov, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,>50K -55, Private, 9th,5.0, Never-married, Handlers-cleaners, Other-relative, Black, Male,0.0,0.0,37.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4064.0,0.0,50.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -67, Self-emp-not-inc, HS-grad,9.0, Widowed, Farming-fishing, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,48.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, Prof-school,15.0, Never-married, Sales, Not-in-family, White, Female,13550.0,0.0,50.0, United-States,>50K -43, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -53, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Self-emp-inc, 12th,8.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -55, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -35, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -55, Self-emp-not-inc, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -54, Self-emp-not-inc, 10th,6.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,10.0, United-States,<=50K -45, Self-emp-not-inc, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Local-gov, Prof-school,15.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Taiwan,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1485.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Other, Female,0.0,0.0,25.0, Puerto-Rico,<=50K -31, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -55, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,20.0, Mexico,<=50K -27, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Other, Female,0.0,0.0,20.0, United-States,<=50K -24, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -18, Federal-gov, 11th,7.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,4.0, United-States,<=50K -28, Local-gov, Some-college,10.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1258.0,20.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -59, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,36.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -28, Private, 7th-8th,4.0, Separated, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -34, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,2001.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -47, Private, HS-grad,9.0, Separated, Prof-specialty, Other-relative, Black, Female,14084.0,0.0,38.0, United-States,>50K -29, Private, 10th,6.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -60, Private, Some-college,10.0, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -53, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,35.0, United-States,<=50K -41, Private, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -49, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -33, State-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,34.0, United-States,<=50K -40, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,20.0, Jamaica,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, 10th,6.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2002.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1902.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -26, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,12.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -65, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -70, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -55, Private, Some-college,10.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Federal-gov, Bachelors,13.0, Never-married, Transport-moving, Other-relative, White, Male,0.0,0.0,35.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Cuba,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,55.0, United-States,>50K -24, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 7th-8th,4.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -52, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1977.0,50.0, United-States,>50K -58, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,14344.0,0.0,48.0, United-States,>50K -65, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,45.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -84, Private, HS-grad,9.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -30, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, Ireland,<=50K -47, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -43, Self-emp-not-inc, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -46, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -49, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -37, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -42, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,5013.0,0.0,50.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,58.0, United-States,>50K -64, Private, Masters,14.0, Never-married, Prof-specialty, Other-relative, White, Female,0.0,0.0,8.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Germany,<=50K -31, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,2885.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,90.0, United-States,>50K -35, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -30, Self-emp-not-inc, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, State-gov, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -49, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,56.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, 10th,6.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,35.0, Mexico,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -37, Private, 1st-4th,2.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,48.0, El-Salvador,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,16.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Widowed, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -65, Private, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,2346.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -42, Self-emp-inc, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,90.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,35.0, United-States,<=50K -54, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Cuba,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,60.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,46.0, United-States,<=50K -42, Private, 11th,7.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,2977.0,0.0,40.0, United-States,<=50K -27, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -17, Private, 10th,6.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,30.0, United-States,<=50K -58, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,55.0, United-States,>50K -69, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,6514.0,0.0,40.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -34, Private, Bachelors,13.0, Separated, Sales, Not-in-family, White, Male,0.0,2824.0,50.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -64, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -40, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -53, Local-gov, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -44, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, 5th-6th,3.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, Mexico,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -17, Private, 9th,5.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Assoc-acdm,12.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, State-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -35, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 9th,5.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -36, Local-gov, Some-college,10.0, Separated, Adm-clerical, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Local-gov, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, El-Salvador,>50K -36, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,1726.0,60.0, United-States,<=50K -49, Self-emp-not-inc, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,99999.0,0.0,70.0, United-States,>50K -42, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,54.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -62, Local-gov, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -23, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,2051.0,40.0, United-States,<=50K -37, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -35, Private, Assoc-acdm,12.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,2051.0,40.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -42, Private, Bachelors,13.0, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, Portugal,<=50K -27, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,41.0, United-States,<=50K -39, Private, HS-grad,9.0, Separated, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,1741.0,40.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Divorced, Sales, Own-child, White, Male,0.0,1590.0,62.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,50.0, United-States,<=50K -23, Private, 11th,7.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -47, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -66, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Self-emp-inc, 11th,7.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -48, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Japan,<=50K -37, Self-emp-inc, Assoc-acdm,12.0, Separated, Exec-managerial, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,5.0, United-States,<=50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Federal-gov, 11th,7.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,1602.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Federal-gov, Bachelors,13.0, Never-married, Tech-support, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -28, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,32.0, United-States,>50K -40, Private, 9th,5.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,2174.0,0.0,40.0, Vietnam,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Taiwan,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -18, Private, 12th,8.0, Never-married, Sales, Own-child, White, Male,594.0,0.0,14.0, United-States,<=50K -29, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1848.0,60.0, Germany,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,44.0, United-States,<=50K -48, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -36, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -67, Federal-gov, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -53, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2415.0,40.0, United-States,>50K -45, Private, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -22, Private, 10th,6.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -61, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, Germany,<=50K -31, Private, 1st-4th,2.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -17, Private, 9th,5.0, Never-married, Sales, Other-relative, Other, Female,0.0,0.0,32.0, Mexico,<=50K -38, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -78, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0.0,0.0,36.0, United-States,<=50K -54, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,50.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -46, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,45.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -66, Local-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,20051.0,0.0,35.0, Jamaica,>50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,2597.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -51, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, 11th,7.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -51, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -29, Federal-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,36.0, United-States,<=50K -24, Local-gov, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,14344.0,0.0,50.0, United-States,>50K -48, Private, 11th,7.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,31.0, United-States,<=50K -46, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -35, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -33, Local-gov, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -25, Private, 11th,7.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, State-gov, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -49, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -32, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1887.0,36.0, United-States,>50K -61, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,15024.0,0.0,34.0, United-States,>50K -22, Local-gov, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,17.0, United-States,<=50K -49, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Assoc-voc,11.0, Divorced, Protective-serv, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -63, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -73, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,20051.0,0.0,36.0, United-States,>50K -51, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -36, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386.0,0.0,50.0, United-States,>50K -42, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -37, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1485.0,40.0, United-States,>50K -51, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, 1st-4th,2.0, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0.0,2603.0,32.0, Mexico,<=50K -60, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,4650.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -60, State-gov, Assoc-voc,11.0, Widowed, Other-service, Not-in-family, Black, Female,0.0,0.0,37.0, United-States,<=50K -35, Private, 11th,7.0, Separated, Other-service, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,>50K -43, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -32, State-gov, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -40, State-gov, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,1506.0,0.0,40.0, United-States,<=50K -42, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, State-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -24, Private, Bachelors,13.0, Married-civ-spouse, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,57.0, United-States,>50K -51, Private, Assoc-acdm,12.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -67, Private, Some-college,10.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,25.0, Nicaragua,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -58, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,48.0, United-States,>50K -61, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,35.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -29, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -60, Self-emp-not-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, Black, Male,2597.0,0.0,55.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -36, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,50.0, China,<=50K -37, Private, Bachelors,13.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,46.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Married-AF-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Priv-house-serv, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -28, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,5178.0,0.0,60.0, Hungary,>50K -26, Private, Some-college,10.0, Never-married, Farming-fishing, Other-relative, White, Female,0.0,0.0,65.0, United-States,<=50K -45, Local-gov, 11th,7.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -63, Private, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,20.0, South,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -45, State-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -27, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -46, Private, 7th-8th,4.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,52.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Thailand,<=50K -32, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Local-gov, 12th,8.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -58, State-gov, Doctorate,16.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,43.0, United-States,>50K -45, Private, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -76, Self-emp-not-inc, Some-college,10.0, Widowed, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Masters,14.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Unmarried, Black, Female,0.0,0.0,36.0, United-States,<=50K -53, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Greece,>50K -27, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -35, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, United-States,>50K -36, Private, 1st-4th,2.0, Never-married, Other-service, Other-relative, Other, Female,0.0,0.0,40.0, El-Salvador,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,10.0, United-States,>50K -42, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Bachelors,13.0, Married-AF-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, 9th,5.0, Divorced, Craft-repair, Unmarried, White, Female,99999.0,0.0,37.0, United-States,>50K -36, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -62, Private, Masters,14.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,4650.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -38, Self-emp-not-inc, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,30.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,4865.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1741.0,40.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -34, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -37, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -35, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Separated, Tech-support, Unmarried, Black, Female,0.0,0.0,32.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -33, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,18.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -30, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -30, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -56, Private, 10th,6.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,45.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, Honduras,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,24.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -60, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -50, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,65.0, United-States,<=50K -37, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, HS-grad,9.0, Divorced, Priv-house-serv, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,38.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -72, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,2329.0,0.0,60.0, United-States,<=50K -47, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,33.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -40, State-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -61, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Japan,<=50K -58, Self-emp-not-inc, Bachelors,13.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,72.0, United-States,<=50K -39, State-gov, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -45, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, Some-college,10.0, Separated, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -41, State-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, State-gov, HS-grad,9.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -36, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Private, Preschool,1.0, Widowed, Priv-house-serv, Other-relative, White, Female,0.0,0.0,40.0, Guatemala,<=50K -33, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -39, Local-gov, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -62, Self-emp-not-inc, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -50, Self-emp-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,60.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Federal-gov, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, Japan,<=50K -50, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1579.0,65.0, Canada,<=50K -45, Federal-gov, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -46, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -56, Private, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,3103.0,0.0,40.0, United-States,>50K -47, Private, Masters,14.0, Separated, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,42.0, India,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,80.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Separated, Other-service, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Self-emp-inc, 12th,8.0, Married-civ-spouse, Sales, Husband, Other, Male,0.0,0.0,98.0, Dominican-Republic,<=50K -35, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, 11th,7.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 10th,6.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,35.0, Mexico,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3103.0,0.0,45.0, United-States,>50K -26, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -43, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,1506.0,0.0,36.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688.0,0.0,50.0, United-States,>50K -54, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, Mexico,<=50K -51, Local-gov, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -49, Private, Assoc-acdm,12.0, Separated, Adm-clerical, Not-in-family, White, Female,2597.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -45, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -60, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,30.0, United-States,<=50K -44, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -19, State-gov, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -56, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -44, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,54.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,36.0, Vietnam,>50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,3103.0,0.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,70.0, United-States,>50K -32, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -57, Self-emp-not-inc, Masters,14.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -48, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -32, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -76, Federal-gov, Masters,14.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -57, Local-gov, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -50, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-AF-spouse, Other-service, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,2002.0,40.0, United-States,<=50K -59, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Male,8614.0,0.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Preschool,1.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,25.0, United-States,<=50K -38, Private, Bachelors,13.0, Separated, Exec-managerial, Not-in-family, White, Male,27828.0,0.0,45.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,37.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,19.0, India,<=50K -43, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,2547.0,40.0, United-States,>50K -30, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, China,<=50K -59, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Tech-support, Own-child, Black, Male,0.0,0.0,24.0, United-States,<=50K -48, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Widowed, Prof-specialty, Unmarried, White, Female,1506.0,0.0,35.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,2179.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -66, Private, Bachelors,13.0, Widowed, Other-service, Not-in-family, White, Male,0.0,0.0,12.0, United-States,<=50K -68, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,3273.0,0.0,40.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,7.0, United-States,<=50K -28, Private, 10th,6.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,15.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,1974.0,40.0, United-States,<=50K -26, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, Honduras,<=50K -52, Private, HS-grad,9.0, Widowed, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,12.0, United-States,<=50K -39, State-gov, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,114.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0.0,0.0,40.0, Ecuador,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -46, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -29, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,5.0, United-States,<=50K -40, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0.0,1579.0,35.0, India,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Self-emp-not-inc, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, Mexico,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -36, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,48.0, United-States,>50K -35, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,46.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,22.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, Trinadad&Tobago,<=50K -27, Private, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,23.0, United-States,<=50K -38, Private, 12th,8.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,50.0, United-States,<=50K -55, State-gov, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,70.0, Italy,<=50K -40, Private, Bachelors,13.0, Married-spouse-absent, Other-service, Not-in-family, Other, Male,0.0,0.0,40.0, Mexico,<=50K -42, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,50.0, Laos,<=50K -30, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, 10th,6.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, Assoc-voc,11.0, Separated, Protective-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Hong,>50K -49, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,2603.0,40.0, Greece,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, Germany,>50K -37, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, South,<=50K -52, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -21, Private, HS-grad,9.0, Married-spouse-absent, Exec-managerial, Other-relative, White, Female,0.0,0.0,60.0, United-States,<=50K -63, Private, 10th,6.0, Separated, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, Peru,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -23, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,2377.0,40.0, United-States,<=50K -46, Private, Assoc-voc,11.0, Divorced, Tech-support, Unmarried, Black, Female,0.0,625.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,42.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,12.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -37, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -38, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,4064.0,0.0,60.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,14084.0,0.0,40.0, United-States,>50K -32, Private, 11th,7.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,15.0, United-States,<=50K -42, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -32, Private, 10th,6.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,30.0, United-States,<=50K -53, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,25.0, Mexico,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -70, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -41, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -43, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1672.0,40.0, United-States,<=50K -64, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -40, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -50, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -32, Private, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, 11th,7.0, Divorced, Sales, Unmarried, White, Male,1506.0,0.0,50.0, Mexico,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, England,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -45, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -24, Private, Assoc-acdm,12.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -50, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, France,<=50K -61, State-gov, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -61, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -31, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -55, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -59, Private, HS-grad,9.0, Widowed, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Federal-gov, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, England,<=50K -49, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, 5th-6th,3.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,30.0, United-States,<=50K -41, State-gov, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, White, Female,7298.0,0.0,40.0, United-States,>50K -55, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,1602.0,12.0, United-States,<=50K -34, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,1504.0,60.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -29, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,60.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -43, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -61, Private, Some-college,10.0, Widowed, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,65.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -41, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -28, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Assoc-acdm,12.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -54, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,2444.0,42.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Other, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,27.0, United-States,<=50K -61, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -35, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Own-child, White, Male,5178.0,0.0,50.0, United-States,>50K -45, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, Prof-school,15.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,13.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,50.0, United-States,>50K -54, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -47, Self-emp-not-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,4865.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,18.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Male,0.0,0.0,32.0, United-States,<=50K -50, Private, 12th,8.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Cambodia,>50K -32, Private, 9th,5.0, Separated, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, Columbia,<=50K -34, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,19.0, United-States,<=50K -58, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -27, Private, 5th-6th,3.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,75.0, Mexico,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -36, Self-emp-inc, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,27828.0,0.0,55.0, United-States,>50K -21, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,594.0,0.0,4.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, England,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female,0.0,1721.0,25.0, United-States,<=50K -76, Self-emp-not-inc, 7th-8th,4.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, 11th,7.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -55, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -51, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -44, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -39, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -34, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -59, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -30, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,49.0, United-States,<=50K -38, Private, HS-grad,9.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,5178.0,0.0,40.0, Philippines,>50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -22, Private, 12th,8.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 1st-4th,2.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,52.0, Mexico,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, Black, Female,15024.0,0.0,45.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -46, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -27, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 10th,6.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,47.0, United-States,<=50K -36, Private, 5th-6th,3.0, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0.0,0.0,32.0, Mexico,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -50, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -19, Private, 12th,8.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Federal-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -60, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Transport-moving, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, Cuba,<=50K -49, Private, 7th-8th,4.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -25, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -50, Private, 11th,7.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -40, Self-emp-inc, Bachelors,13.0, Separated, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -56, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,42.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -67, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -54, State-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, 11th,7.0, Widowed, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,29.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -78, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,3.0, United-States,>50K -24, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, 11th,7.0, Separated, Farming-fishing, Other-relative, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,96.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -24, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Separated, Prof-specialty, Own-child, White, Male,0.0,0.0,54.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -53, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, Black, Male,0.0,0.0,32.0, United-States,<=50K -75, Self-emp-inc, HS-grad,9.0, Widowed, Sales, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,35.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -46, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,49.0, United-States,<=50K -58, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -67, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,38.0, United-States,>50K -39, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -63, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Private, 11th,7.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, White, Male,4865.0,0.0,45.0, United-States,<=50K -49, Private, 11th,7.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Assoc-voc,11.0, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Cuba,<=50K -48, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Handlers-cleaners, Own-child, White, Male,2176.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,2202.0,0.0,30.0, United-States,<=50K -32, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,56.0, England,>50K -24, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -44, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,70.0, United-States,>50K -27, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, France,>50K -26, Local-gov, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,65.0, United-States,>50K -41, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -32, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -59, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -35, Private, Bachelors,13.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,1590.0,40.0, South,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,3781.0,0.0,40.0, Columbia,<=50K -30, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,3325.0,0.0,50.0, United-States,<=50K -23, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,8614.0,0.0,43.0, United-States,>50K -61, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -68, Private, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -41, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,27828.0,0.0,50.0, United-States,>50K -42, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, 11th,7.0, Married-spouse-absent, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -40, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2377.0,50.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -51, Self-emp-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,14084.0,0.0,40.0, United-States,>50K -44, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, England,<=50K -44, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -61, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, India,>50K -30, Local-gov, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -19, Private, 11th,7.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,43.0, United-States,<=50K -71, Private, 7th-8th,4.0, Widowed, Transport-moving, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,15024.0,0.0,38.0, Jamaica,>50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,10.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -57, Private, HS-grad,9.0, Widowed, Transport-moving, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Portugal,>50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, State-gov, Masters,14.0, Never-married, Prof-specialty, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -38, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -48, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -55, State-gov, Assoc-voc,11.0, Widowed, Prof-specialty, Unmarried, White, Female,6849.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Divorced, Farming-fishing, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -45, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -49, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,45.0, Laos,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -43, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,2174.0,0.0,45.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,25.0, United-States,<=50K -61, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, Mexico,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -41, Private, 12th,8.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,84.0, United-States,>50K -42, Private, HS-grad,9.0, Widowed, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -50, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,1980.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1651.0,38.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, Black, Male,14344.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Mexico,<=50K -42, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -72, Without-pay, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -40, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -55, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, Hungary,>50K -30, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Bachelors,13.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,1092.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,3103.0,0.0,45.0, United-States,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,4.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -46, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,15.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, 9th,5.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -38, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, Honduras,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -65, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,2174.0,40.0, United-States,>50K -37, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -57, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -54, Self-emp-not-inc, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Separated, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -41, Private, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0.0,0.0,15.0, United-States,<=50K -62, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -41, Private, 12th,8.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -50, Private, 10th,6.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, Mexico,<=50K -84, Private, 7th-8th,4.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,10.0, United-States,<=50K -48, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -61, Self-emp-not-inc, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -32, Private, HS-grad,9.0, Separated, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,60.0, South,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -47, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,17.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Tech-support, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -32, Self-emp-not-inc, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,99.0, United-States,<=50K -56, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,26.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,68.0, United-States,>50K -28, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, 12th,8.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -32, Private, Some-college,10.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,55.0, Ecuador,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -71, Private, 5th-6th,3.0, Widowed, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,75.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Federal-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1740.0,50.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,56.0, United-States,>50K -26, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,43.0, United-States,>50K -38, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, State-gov, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -59, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Self-emp-not-inc, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,84.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -36, Private, 1st-4th,2.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -20, Local-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, Asian-Pac-Islander, Female,0.0,0.0,20.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,2001.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -46, Federal-gov, Prof-school,15.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, Germany,>50K -60, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,70.0, Germany,>50K -40, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Masters,14.0, Separated, Tech-support, Not-in-family, White, Male,27828.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -55, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -47, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -32, Private, 11th,7.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,60.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Self-emp-not-inc, Some-college,10.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, Black, Female,0.0,0.0,32.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,2885.0,0.0,45.0, United-States,<=50K -55, Private, Masters,14.0, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, Thailand,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,2407.0,0.0,35.0, United-States,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -36, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -36, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, Guatemala,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,1055.0,0.0,18.0, India,<=50K -33, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,47.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -30, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -33, Local-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, State-gov, Some-college,10.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,38.0, United-States,<=50K -28, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -66, Local-gov, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, Black, Female,0.0,2206.0,25.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, India,<=50K -36, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, Canada,<=50K -39, Federal-gov, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, Poland,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -21, Private, 9th,5.0, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, Italy,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1902.0,50.0, United-States,>50K -45, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -59, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2392.0,40.0, United-States,>50K -55, Federal-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -21, Self-emp-not-inc, 7th-8th,4.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, 11th,7.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,1876.0,46.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,2179.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Divorced, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,12.0, United-States,<=50K -25, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -51, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, Bachelors,13.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,55.0, United-States,>50K -34, Private, Some-college,10.0, Never-married, Sales, Other-relative, Black, Female,0.0,0.0,35.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -60, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -47, Federal-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,75.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -30, Private, Masters,14.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,15.0, United-States,>50K -53, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Germany,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, State-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -65, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,4064.0,0.0,55.0, United-States,<=50K -30, Local-gov, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Masters,14.0, Divorced, Sales, Not-in-family, White, Male,4787.0,0.0,45.0, United-States,>50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3137.0,0.0,30.0, United-States,<=50K -42, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -50, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -27, Private, Some-college,10.0, Never-married, Transport-moving, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,40.0, Mexico,>50K -35, Private, Some-college,10.0, Never-married, Machine-op-inspct, Other-relative, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,6.0, United-States,>50K -54, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1977.0,35.0, United-States,>50K -56, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -21, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Private, 7th-8th,4.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, Germany,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -43, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -52, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -59, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Local-gov, Assoc-voc,11.0, Separated, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -42, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -62, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -54, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,45.0, United-States,<=50K -30, Private, HS-grad,9.0, Separated, Farming-fishing, Unmarried, White, Female,0.0,0.0,14.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Laos,>50K -21, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,64.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -28, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,35.0, United-States,<=50K -54, Private, 1st-4th,2.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -19, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Never-married, Sales, Other-relative, Black, Male,0.0,0.0,65.0, United-States,<=50K -44, Private, Some-college,10.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -19, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -31, Self-emp-not-inc, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, 10th,6.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,24.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -29, Federal-gov, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1672.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, Hong,<=50K -35, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,8614.0,0.0,40.0, United-States,>50K -62, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,99999.0,0.0,50.0, United-States,>50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, 1st-4th,2.0, Widowed, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,44.0, Portugal,<=50K -35, Private, 9th,5.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Other, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -54, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,55.0, United-States,>50K -47, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Assoc-voc,11.0, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 12th,8.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 7th-8th,4.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,80.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -36, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -46, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,32.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -65, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,20.0, Jamaica,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, State-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,2977.0,0.0,35.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -31, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, Philippines,>50K -27, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Widowed, Craft-repair, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,23.0, United-States,<=50K -34, Self-emp-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,62.0, United-States,>50K -33, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -58, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,12.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,58.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -52, Self-emp-not-inc, 12th,8.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Private, HS-grad,9.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,30.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -34, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -48, Private, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,52.0, United-States,<=50K -30, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,60.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, Prof-school,15.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -37, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -44, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,55.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Local-gov, Assoc-acdm,12.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,5.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,70.0, United-States,<=50K -48, Private, 1st-4th,2.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,3781.0,0.0,50.0, Mexico,<=50K -26, State-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,55.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Masters,14.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,48.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -40, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, 9th,5.0, Divorced, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -67, Local-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,7896.0,0.0,50.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -62, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -31, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,50.0, United-States,>50K -52, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,15.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, State-gov, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, 11th,7.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -47, Private, Bachelors,13.0, Widowed, Priv-house-serv, Unmarried, White, Female,25236.0,0.0,35.0, United-States,>50K -49, State-gov, Doctorate,16.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,2258.0,50.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -79, Federal-gov, Doctorate,16.0, Widowed, Exec-managerial, Not-in-family, White, Male,0.0,0.0,6.0, United-States,>50K -28, State-gov, Some-college,10.0, Divorced, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Self-emp-not-inc, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Self-emp-inc, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, Germany,<=50K -67, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013.0,0.0,24.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2377.0,48.0, United-States,<=50K -40, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,55.0, Germany,>50K -23, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,1719.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-inc, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,2258.0,60.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,25.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,55.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -78, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,1797.0,0.0,15.0, United-States,<=50K -64, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -42, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, 12th,8.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,35.0, Puerto-Rico,<=50K -29, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, 1st-4th,2.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -44, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,78.0, United-States,<=50K -24, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,10.0, United-States,<=50K -42, State-gov, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, Black, Female,2977.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,50.0, United-States,>50K -39, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,60.0, United-States,<=50K -72, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-inc, 9th,5.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,44.0, Portugal,<=50K -25, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -64, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2635.0,0.0,24.0, Italy,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -50, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, 5th-6th,3.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -20, Private, 11th,7.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,32.0, Mexico,<=50K -32, Private, Some-college,10.0, Separated, Tech-support, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Federal-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1902.0,48.0, United-States,>50K -43, Private, Bachelors,13.0, Separated, Exec-managerial, Unmarried, White, Male,8614.0,0.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -47, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, 1st-4th,2.0, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,20.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, HS-grad,9.0, Separated, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, 11th,7.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,45.0, United-States,>50K -47, Local-gov, Doctorate,16.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -60, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3137.0,0.0,46.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -28, Private, 10th,6.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -19, Private, 11th,7.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,30.0, United-States,<=50K -51, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Other, Male,99999.0,0.0,70.0, India,>50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,35.0, United-States,<=50K -64, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -44, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -44, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,35.0, United-States,>50K -28, Federal-gov, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,70.0, Puerto-Rico,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -34, Federal-gov, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,52.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -35, Private, 11th,7.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -37, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -54, Private, Masters,14.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,65.0, United-States,>50K -44, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,45.0, Laos,<=50K -61, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, State-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, Canada,<=50K -40, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -42, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, Cuba,>50K -50, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,45.0, United-States,<=50K -70, Self-emp-inc, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,5.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,99999.0,0.0,60.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -28, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, 9th,5.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -57, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -47, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -21, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -25, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Divorced, Protective-serv, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,2754.0,25.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -59, Private, 7th-8th,4.0, Separated, Other-service, Own-child, Black, Female,0.0,0.0,38.0, United-States,<=50K -44, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,55.0, United-States,>50K -47, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -64, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -45, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,48.0, United-States,>50K -65, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,8.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Peru,<=50K -62, Local-gov, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -69, State-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -19, Self-emp-not-inc, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,90.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,73.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -73, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,1173.0,0.0,75.0, United-States,<=50K -64, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,1740.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,16.0, United-States,<=50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1092.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -46, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -40, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,8.0, El-Salvador,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,46.0, United-States,<=50K -54, Federal-gov, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -33, Local-gov, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,1669.0,55.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Preschool,1.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -25, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, Mexico,<=50K -53, Federal-gov, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -66, Self-emp-not-inc, 7th-8th,4.0, Widowed, Farming-fishing, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,1471.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Separated, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, 10th,6.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,80.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -26, Private, 9th,5.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -32, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Other, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2377.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -39, Federal-gov, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Federal-gov, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,1902.0,55.0, India,>50K -46, Private, Bachelors,13.0, Separated, Prof-specialty, Unmarried, Black, Female,0.0,0.0,36.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -69, Private, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -49, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -20, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -52, Private, 5th-6th,3.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,15.0, El-Salvador,<=50K -33, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,59.0, Mexico,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,6.0, United-States,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Separated, Farming-fishing, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -61, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -61, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,9386.0,0.0,40.0, United-States,>50K -39, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,4386.0,0.0,40.0, India,>50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,36.0, United-States,>50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -27, Local-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, 11th,7.0, Separated, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, Nicaragua,<=50K -60, Local-gov, Bachelors,13.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,60.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Female,14344.0,0.0,50.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -90, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -37, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,38.0, United-States,<=50K -18, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Own-child, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -35, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,65.0, United-States,<=50K -50, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2885.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Self-emp-inc, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,65.0, United-States,>50K -51, Private, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -31, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,42.0, Mexico,<=50K -69, Private, HS-grad,9.0, Separated, Transport-moving, Unmarried, Black, Female,2387.0,0.0,40.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, 10th,6.0, Divorced, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,95.0, United-States,<=50K -49, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, Columbia,<=50K -52, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 5th-6th,3.0, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -31, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,50.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -45, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,66.0, Yugoslavia,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -42, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,25.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,55.0, Outlying-US(Guam-USVI-etc),<=50K -55, Private, HS-grad,9.0, Divorced, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137.0,0.0,50.0, United-States,<=50K -25, State-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, 7th-8th,4.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -43, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, 1st-4th,2.0, Separated, Priv-house-serv, Other-relative, White, Female,0.0,0.0,40.0, Mexico,<=50K -35, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,1974.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Taiwan,>50K -26, Private, Bachelors,13.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, Bachelors,13.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,15.0, United-States,<=50K -51, Private, Bachelors,13.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,30.0, Jamaica,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -73, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -47, Local-gov, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,1876.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,70.0, United-States,<=50K -27, Private, 10th,6.0, Never-married, Sales, Other-relative, White, Male,0.0,1980.0,40.0, United-States,<=50K -38, Private, Prof-school,15.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -60, Local-gov, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -26, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, Canada,<=50K -28, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -38, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -47, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,3464.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -42, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -28, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,45.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,22.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -49, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -59, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -59, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,43.0, India,>50K -67, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -64, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, Canada,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -42, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -65, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, 10th,6.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Local-gov, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -63, Private, Masters,14.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -45, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -26, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Federal-gov, Some-college,10.0, Divorced, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, Outlying-US(Guam-USVI-etc),<=50K -44, Private, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -43, Federal-gov, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, Haiti,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Canada,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,4508.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, Columbia,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Self-emp-not-inc, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -50, State-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -26, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -24, Private, 1st-4th,2.0, Never-married, Farming-fishing, Not-in-family, Other, Male,0.0,0.0,66.0, Mexico,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -43, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, Poland,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -40, Private, Bachelors,13.0, Never-married, Prof-specialty, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,3137.0,0.0,42.0, United-States,<=50K -51, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -40, Self-emp-not-inc, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -29, Private, Assoc-voc,11.0, Divorced, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,37.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, Black, Male,0.0,0.0,30.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -26, Local-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,84.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -61, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,6.0, United-States,<=50K -17, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -21, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, Peru,<=50K -46, Private, 11th,7.0, Separated, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Federal-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,48.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3908.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,47.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -56, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -41, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -46, Federal-gov, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,60.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Greece,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7298.0,0.0,43.0, United-States,>50K -45, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, India,>50K -50, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,30.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, Ireland,<=50K -27, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 11th,7.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -36, State-gov, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2002.0,45.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -54, Private, Some-college,10.0, Widowed, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, 9th,5.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -29, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,55.0, United-States,<=50K -40, State-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Private, Doctorate,16.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1977.0,40.0, Germany,>50K -32, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,22.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Guatemala,<=50K -49, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,30.0, United-States,>50K -27, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1573.0,70.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -54, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,625.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Married-spouse-absent, Sales, Own-child, Other, Female,0.0,0.0,22.0, Dominican-Republic,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Self-emp-inc, Bachelors,13.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1977.0,44.0, United-States,>50K -28, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Female,4101.0,0.0,60.0, United-States,<=50K -38, Local-gov, Assoc-voc,11.0, Divorced, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -35, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -51, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -71, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,15.0, Germany,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -64, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,5.0, United-States,<=50K -42, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -66, Private, Some-college,10.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,50.0, United-States,>50K -42, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,30.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, 11th,7.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,12.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -33, Private, 5th-6th,3.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -70, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,24.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -80, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,1409.0,0.0,40.0, United-States,<=50K -36, Private, 10th,6.0, Never-married, Transport-moving, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -52, State-gov, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -49, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Black, Male,7688.0,0.0,50.0, United-States,>50K -70, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -55, Private, Some-college,10.0, Widowed, Farming-fishing, Not-in-family, White, Male,0.0,2258.0,62.0, United-States,>50K -25, Private, Bachelors,13.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, Italy,>50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Assoc-acdm,12.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -54, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -36, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -74, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -35, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,15.0, Mexico,<=50K -41, Private, 12th,8.0, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,13550.0,0.0,60.0, United-States,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -34, State-gov, Masters,14.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -48, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Self-emp-not-inc, 5th-6th,3.0, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,15.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Other-service, Other-relative, Other, Female,0.0,0.0,25.0, Ecuador,<=50K -36, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Private, Doctorate,16.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -33, Self-emp-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -32, State-gov, Some-college,10.0, Never-married, Tech-support, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Some-college,10.0, Divorced, Protective-serv, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -72, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,2414.0,0.0,12.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -67, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,1797.0,0.0,20.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,4064.0,0.0,45.0, United-States,<=50K -24, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 7th-8th,4.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,8.0, United-States,<=50K -32, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -67, Private, 11th,7.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,5013.0,0.0,40.0, India,<=50K -32, Private, 1st-4th,2.0, Never-married, Craft-repair, Not-in-family, White, Male,3674.0,0.0,40.0, Guatemala,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -50, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -24, Private, 10th,6.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -21, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,16.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, 10th,6.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,32.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,55.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -46, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,37.0, United-States,>50K -64, Local-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -38, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,0.0,30.0, United-States,>50K -45, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, Masters,14.0, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,50.0, India,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Hong,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,60.0, United-States,>50K -45, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -20, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -63, Self-emp-inc, Some-college,10.0, Widowed, Sales, Not-in-family, White, Female,14084.0,0.0,60.0, United-States,>50K -35, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -36, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, Mexico,>50K -46, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,5.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -55, Local-gov, 12th,8.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,7688.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,4650.0,0.0,22.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -47, Federal-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,25.0, United-States,<=50K -45, Local-gov, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -33, Private, 7th-8th,4.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,14.0, Trinadad&Tobago,<=50K -68, Without-pay, Some-college,10.0, Married-spouse-absent, Farming-fishing, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -44, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -49, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Poland,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1848.0,65.0, United-States,>50K -29, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,25.0, Mexico,<=50K -56, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -52, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,50.0, England,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Separated, Sales, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,55.0, United-States,>50K -61, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -51, State-gov, Bachelors,13.0, Widowed, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -48, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, Black, Male,0.0,0.0,45.0, United-States,<=50K -62, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,53.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -19, Private, 10th,6.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,1602.0,45.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -43, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,37.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,55.0, United-States,>50K -51, Federal-gov, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, 5th-6th,3.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -68, Local-gov, HS-grad,9.0, Widowed, Protective-serv, Not-in-family, White, Male,0.0,1668.0,20.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -45, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,25.0, Philippines,<=50K -38, State-gov, Masters,14.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, Cuba,>50K -18, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, Mexico,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,3103.0,0.0,55.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, Black, Female,2174.0,0.0,50.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Peru,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -35, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -59, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,50.0, Guatemala,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 11th,7.0, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -59, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,8614.0,0.0,60.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,4386.0,0.0,70.0, United-States,<=50K -45, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Male,0.0,1590.0,45.0, United-States,<=50K -23, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -46, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,1590.0,48.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -61, Private, HS-grad,9.0, Separated, Transport-moving, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,45.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -43, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -51, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,16.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -18, Private, 7th-8th,4.0, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1848.0,45.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,30.0, Vietnam,<=50K -45, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -56, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Self-emp-inc, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -81, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -43, State-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,1740.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Separated, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -36, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,213.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Other-service, Other-relative, Black, Female,0.0,0.0,30.0, Haiti,<=50K -39, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 7th-8th,4.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,32.0, United-States,>50K -33, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -58, Private, 9th,5.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -27, Private, Some-college,10.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, State-gov, Some-college,10.0, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,8614.0,0.0,40.0, United-States,>50K -31, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,60.0, United-States,>50K -49, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -42, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2580.0,0.0,40.0, United-States,<=50K -57, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,45.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -35, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3908.0,0.0,60.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,28.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Cambodia,>50K -40, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -54, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Some-college,10.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -67, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,20051.0,0.0,4.0, United-States,>50K -75, Private, Masters,14.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,16.0, United-States,<=50K -41, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,60.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -47, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,50.0, Cuba,<=50K -34, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, Mexico,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, State-gov, HS-grad,9.0, Never-married, Protective-serv, Own-child, White, Male,2174.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, Other, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -44, Local-gov, 12th,8.0, Married-civ-spouse, Other-service, Other-relative, White, Female,0.0,0.0,35.0, Mexico,<=50K -27, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -42, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,33.0, United-States,<=50K -26, Private, 9th,5.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,38.0, El-Salvador,<=50K -23, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, Canada,<=50K -28, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,3411.0,0.0,50.0, Columbia,<=50K -30, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, Cuba,>50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -47, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Some-college,10.0, Never-married, Prof-specialty, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Local-gov, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, Trinadad&Tobago,>50K -46, Federal-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,>50K -32, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,35.0, Mexico,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -59, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -43, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -46, Federal-gov, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -33, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -33, Private, 10th,6.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,2354.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Priv-house-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,4386.0,0.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -60, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -45, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Local-gov, Some-college,10.0, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,66.0, United-States,<=50K -46, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298.0,0.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,4386.0,0.0,48.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,56.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,1974.0,35.0, United-States,<=50K -64, Private, 7th-8th,4.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,2580.0,0.0,50.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -33, Private, Some-college,10.0, Separated, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-inc, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -33, Local-gov, Assoc-voc,11.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,56.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -31, Self-emp-inc, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,7688.0,0.0,54.0, United-States,>50K -64, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,15.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -41, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 9th,5.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -58, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,8.0, United-States,<=50K -30, Private, 11th,7.0, Married-spouse-absent, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, Mexico,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -50, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, Scotland,<=50K -31, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -53, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688.0,0.0,50.0, United-States,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -78, Private, HS-grad,9.0, Widowed, Sales, Unmarried, White, Female,2329.0,0.0,12.0, United-States,<=50K -27, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -24, State-gov, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,1602.0,15.0, United-States,<=50K -25, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -34, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -30, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -37, Federal-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -67, Without-pay, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,12.0, Philippines,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -75, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -23, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -42, Local-gov, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,32.0, United-States,>50K -54, Private, HS-grad,9.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,38.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -41, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,15024.0,0.0,40.0, United-States,>50K -25, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Machine-op-inspct, Other-relative, Black, Female,0.0,0.0,35.0, United-States,<=50K -67, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -29, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Other, Male,0.0,0.0,40.0, Ecuador,<=50K -48, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Female,0.0,0.0,38.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,99.0, United-States,>50K -48, Private, Bachelors,13.0, Married-spouse-absent, Sales, Unmarried, White, Female,0.0,2472.0,70.0, United-States,>50K -40, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -48, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,16.0, Trinadad&Tobago,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1651.0,40.0, United-States,<=50K -59, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1740.0,50.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,20.0, India,<=50K -37, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,68.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,37.0, United-States,<=50K -53, Local-gov, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, Dominican-Republic,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -59, Private, 11th,7.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -25, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, 10th,6.0, Divorced, Farming-fishing, Unmarried, White, Male,0.0,0.0,25.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,5.0, United-States,<=50K -40, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -23, Self-emp-inc, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,65.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013.0,0.0,30.0, United-States,<=50K -45, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -58, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -41, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -49, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -38, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -58, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -33, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, Bachelors,13.0, Separated, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,11.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -59, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-inc, 12th,8.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,60.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -60, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,91.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -52, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -31, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, 5th-6th,3.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, 9th,5.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -59, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,80.0, United-States,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -64, Private, Some-college,10.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Local-gov, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,3137.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, 5th-6th,3.0, Never-married, Priv-house-serv, Other-relative, White, Female,2176.0,0.0,40.0, El-Salvador,<=50K -66, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051.0,0.0,40.0, United-States,>50K -38, Private, 7th-8th,4.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,0.0,25.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,4787.0,0.0,50.0, United-States,>50K -22, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,<=50K -60, Private, Some-college,10.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,44.0, United-States,>50K -54, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1977.0,18.0, United-States,>50K -46, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,37.0, United-States,<=50K -33, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -60, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Female,3325.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Local-gov, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Masters,14.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, State-gov, Masters,14.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,38.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -63, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, State-gov, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -33, Private, 12th,8.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,13550.0,0.0,46.0, United-States,>50K -29, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -60, Private, 1st-4th,2.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,>50K -23, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -38, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -60, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -37, Private, Some-college,10.0, Widowed, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,48.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,30.0, Canada,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -43, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Federal-gov, Some-college,10.0, Never-married, Tech-support, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -44, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Male,4787.0,0.0,46.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -18, Federal-gov, 11th,7.0, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0.0,0.0,15.0, Philippines,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -18, Federal-gov, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -69, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386.0,0.0,12.0, United-States,>50K -50, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, Greece,<=50K -32, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -43, Private, HS-grad,9.0, Separated, Exec-managerial, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -35, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -46, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -40, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -33, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, 10th,6.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Local-gov, Some-college,10.0, Divorced, Protective-serv, Not-in-family, Black, Male,0.0,0.0,48.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -42, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,66.0, Ecuador,<=50K -35, Private, Bachelors,13.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Private, 5th-6th,3.0, Divorced, Priv-house-serv, Not-in-family, Black, Female,0.0,0.0,15.0, United-States,<=50K -26, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Transport-moving, Own-child, White, Male,3325.0,0.0,55.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -56, Private, 9th,5.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, Japan,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-inc, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -69, Private, Assoc-voc,11.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Separated, Craft-repair, Unmarried, Asian-Pac-Islander, Male,8614.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Female,0.0,0.0,46.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,10520.0,0.0,45.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -33, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -52, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -33, Private, 1st-4th,2.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -30, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, Black, Male,0.0,0.0,38.0, Jamaica,<=50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,37.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -44, Local-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, Assoc-voc,11.0, Separated, Priv-house-serv, Not-in-family, Black, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -75, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -64, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -54, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,42.0, United-States,>50K -41, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -51, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -45, Self-emp-inc, Prof-school,15.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -43, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Yugoslavia,<=50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,1504.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Other-relative, White, Male,0.0,0.0,40.0, England,<=50K -56, Private, 11th,7.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,49.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,60.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -43, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 9th,5.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 1st-4th,2.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,55.0, Mexico,<=50K -39, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -45, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -42, Local-gov, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,25.0, France,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -43, Local-gov, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,42.0, Germany,<=50K -49, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -49, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Separated, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,2202.0,0.0,4.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Widowed, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -30, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,38.0, United-States,<=50K -74, Private, Masters,14.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,70.0, South,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,2057.0,20.0, United-States,<=50K -39, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -25, Self-emp-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,80.0, United-States,<=50K -21, Private, HS-grad,9.0, Separated, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, State-gov, Assoc-voc,11.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,25.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Germany,<=50K -34, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -19, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,3.0, United-States,<=50K -36, Private, 10th,6.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -29, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -19, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -70, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Transport-moving, Not-in-family, Black, Male,0.0,0.0,55.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -43, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Philippines,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,7298.0,0.0,40.0, El-Salvador,>50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 9th,5.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,1719.0,15.0, United-States,<=50K -25, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, State-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -46, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -43, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,42.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,10520.0,0.0,45.0, United-States,>50K -28, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Tech-support, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,>50K -50, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -48, Self-emp-not-inc, Some-college,10.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,65.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -48, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,65.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 10th,6.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,27828.0,0.0,55.0, United-States,>50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -42, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Self-emp-inc, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, Black, Male,2174.0,0.0,40.0, United-States,<=50K -64, Private, 5th-6th,3.0, Widowed, Other-service, Not-in-family, Black, Female,0.0,0.0,16.0, United-States,<=50K -66, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3432.0,0.0,20.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -45, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -26, Private, 10th,6.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,20.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -46, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -55, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -28, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -81, Self-emp-not-inc, 1st-4th,2.0, Widowed, Sales, Other-relative, White, Male,0.0,0.0,45.0, Mexico,<=50K -41, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Transport-moving, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -26, Private, 11th,7.0, Never-married, Machine-op-inspct, Unmarried, White, Male,6497.0,0.0,48.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -61, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -41, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,2415.0,55.0, United-States,>50K -43, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -60, Private, 7th-8th,4.0, Separated, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,15.0, United-States,<=50K -47, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -33, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -51, Federal-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Private, Masters,14.0, Divorced, Protective-serv, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,24.0, Jamaica,<=50K -29, Federal-gov, Bachelors,13.0, Married-AF-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,70.0, United-States,>50K -55, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, 10th,6.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Prof-school,15.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -51, Self-emp-inc, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,2463.0,0.0,40.0, Vietnam,<=50K -62, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -30, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -27, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -35, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -45, Self-emp-inc, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, 11th,7.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -37, State-gov, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -45, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, State-gov, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Assoc-voc,11.0, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,12.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Private, 11th,7.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,36.0, United-States,<=50K -55, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -41, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -29, Federal-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1408.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, White, Female,5013.0,0.0,40.0, United-States,<=50K -61, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -64, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Male,27828.0,0.0,50.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2936.0,0.0,50.0, Mexico,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,48.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,6.0, United-States,<=50K -33, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,>50K -20, Self-emp-inc, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -52, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,1755.0,40.0, United-States,>50K -30, Private, 7th-8th,4.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Assoc-acdm,12.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -46, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,80.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -45, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-inc, Assoc-voc,11.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -26, Self-emp-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,78.0, United-States,>50K -23, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,1974.0,20.0, United-States,<=50K -44, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,1741.0,40.0, United-States,<=50K -35, Private, 9th,5.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Masters,14.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,3325.0,0.0,10.0, United-States,<=50K -35, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,68.0, United-States,<=50K -36, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,3908.0,0.0,75.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Mexico,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Local-gov, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,15.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Italy,>50K -33, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,40.0, Guatemala,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0.0,0.0,16.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3103.0,0.0,60.0, United-States,>50K -44, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,14084.0,0.0,56.0, United-States,>50K -43, State-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, 12th,8.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,1721.0,35.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,25.0, Mexico,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1902.0,45.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -46, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -66, State-gov, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,20051.0,0.0,55.0, United-States,>50K -52, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -57, Self-emp-not-inc, 1st-4th,2.0, Widowed, Craft-repair, Other-relative, White, Female,0.0,1602.0,45.0, Columbia,<=50K -41, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1579.0,42.0, United-States,<=50K -19, Private, 12th,8.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,30.0, United-States,<=50K -45, Local-gov, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,60.0, United-States,<=50K -51, Self-emp-not-inc, 12th,8.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -45, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -60, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -19, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -58, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,3908.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -41, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -38, Private, Masters,14.0, Never-married, Exec-managerial, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2415.0,45.0, United-States,>50K -54, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,96.0, United-States,<=50K -54, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -48, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -56, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -28, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1887.0,60.0, United-States,>50K -34, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -26, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -37, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,2824.0,40.0, United-States,>50K -25, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -44, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -46, Local-gov, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Federal-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -61, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,8614.0,0.0,45.0, United-States,>50K -62, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,42.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-inc, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -34, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,4064.0,0.0,50.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Self-emp-inc, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -47, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -38, Private, Prof-school,15.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,32.0, United-States,>50K -40, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -56, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -50, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,6418.0,0.0,50.0, United-States,>50K -32, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,52.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -60, Local-gov, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Female,5455.0,0.0,55.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -73, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2174.0,50.0, United-States,>50K -43, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -45, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,50.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -41, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,47.0, United-States,>50K -51, Private, 5th-6th,3.0, Separated, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -35, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,7443.0,0.0,40.0, United-States,<=50K -61, Local-gov, 1st-4th,2.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -52, Private, 7th-8th,4.0, Divorced, Priv-house-serv, Own-child, Black, Female,0.0,0.0,16.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -36, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Masters,14.0, Never-married, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -47, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,2.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -43, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0.0,0.0,35.0, United-States,>50K -63, Local-gov, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Cuba,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -19, Private, 1st-4th,2.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -49, Local-gov, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,46.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -46, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,17.0, United-States,<=50K -32, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,75.0, United-States,<=50K -22, Private, Some-college,10.0, Married-AF-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -32, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -51, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,27828.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -40, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -34, State-gov, Assoc-voc,11.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -53, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -30, State-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 11th,7.0, Married-civ-spouse, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,60.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,15.0, United-States,>50K -38, Federal-gov, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -50, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -23, Private, HS-grad,9.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -30, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -33, Private, Bachelors,13.0, Separated, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,24.0, Outlying-US(Guam-USVI-etc),<=50K -33, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, Black, Male,0.0,0.0,40.0, Philippines,<=50K -50, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,45.0, United-States,>50K -23, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Local-gov, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -50, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,46.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -55, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,2267.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,30.0, Mexico,<=50K -47, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,2002.0,45.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Wife, Asian-Pac-Islander, Female,2829.0,0.0,14.0, Philippines,<=50K -23, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -40, State-gov, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-inc, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -69, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,3.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Federal-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -37, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,54.0, Mexico,<=50K -37, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, 9th,5.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,70.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,23.0, United-States,<=50K -55, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -35, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -36, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,2057.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,36.0, United-States,<=50K -48, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,32.0, Columbia,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -64, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -47, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -44, Federal-gov, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,77.0, United-States,<=50K -45, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Wife, White, Female,5178.0,0.0,40.0, United-States,>50K -45, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,37.0, United-States,>50K -27, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,1602.0,10.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, State-gov, Masters,14.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -43, Local-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,4386.0,0.0,99.0, United-States,>50K -33, Private, Assoc-acdm,12.0, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,55.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Masters,14.0, Never-married, Tech-support, Unmarried, White, Male,0.0,0.0,45.0, Nicaragua,<=50K -48, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,56.0, Philippines,>50K -61, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -41, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Local-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,2.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -38, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,0.0,40.0, Trinadad&Tobago,<=50K -36, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,84.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -47, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -26, Private, 11th,7.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, State-gov, Some-college,10.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,35.0, Trinadad&Tobago,<=50K -49, Private, Some-college,10.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -45, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -70, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -46, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,22.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,49.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,60.0, Canada,<=50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,99.0, United-States,>50K -30, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,>50K -54, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Federal-gov, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,1380.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Federal-gov, Masters,14.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,25.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,2001.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, 10th,6.0, Separated, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -71, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,35.0, United-States,<=50K -51, Federal-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,57.0, United-States,>50K -20, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Divorced, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,24.0, Greece,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3137.0,0.0,50.0, El-Salvador,<=50K -42, Private, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,39.0, United-States,>50K -31, Local-gov, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,8614.0,0.0,40.0, United-States,>50K -38, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,54.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,1719.0,18.0, United-States,<=50K -30, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2635.0,0.0,30.0, United-States,<=50K -32, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,14084.0,0.0,40.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -54, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,35.0, United-States,>50K -58, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Local-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -59, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, Outlying-US(Guam-USVI-etc),<=50K -21, Private, HS-grad,9.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,18.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -68, Self-emp-not-inc, 10th,6.0, Widowed, Farming-fishing, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -65, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,18.0, United-States,<=50K -41, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -37, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, 10th,6.0, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,60.0, United-States,<=50K -57, Federal-gov, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -55, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -56, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -48, Private, Assoc-voc,11.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, India,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, 5th-6th,3.0, Married-spouse-absent, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -46, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female,15024.0,0.0,40.0, United-States,>50K -40, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -31, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,55.0, United-States,>50K -51, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,57.0, United-States,<=50K -37, Private, HS-grad,9.0, Separated, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 11th,7.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -63, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -52, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Local-gov, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,3325.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,10520.0,0.0,40.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -43, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -62, Federal-gov, Some-college,10.0, Widowed, Protective-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -65, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,3325.0,0.0,50.0, United-States,<=50K -31, Private, 9th,5.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -56, Private, 9th,5.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -36, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -48, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -56, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -38, State-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, 9th,5.0, Separated, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,35.0, Dominican-Republic,<=50K -54, State-gov, 12th,8.0, Never-married, Other-service, Own-child, White, Male,4101.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -69, Local-gov, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -32, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,46.0, Trinadad&Tobago,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -21, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,5.0, United-States,<=50K -43, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -62, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -21, Self-emp-not-inc, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -74, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1825.0,12.0, United-States,>50K -43, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -51, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -64, Private, Bachelors,13.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, Peru,<=50K -35, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -69, Self-emp-not-inc, 10th,6.0, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,3273.0,0.0,45.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Italy,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -32, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0.0,0.0,2.0, Taiwan,<=50K -62, Local-gov, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2829.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -27, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3942.0,0.0,40.0, United-States,<=50K -38, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,90.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -21, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Local-gov, Masters,14.0, Widowed, Prof-specialty, Unmarried, White, Female,4787.0,0.0,60.0, United-States,>50K -37, Self-emp-not-inc, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -55, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -72, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3471.0,0.0,20.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, 12th,8.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Divorced, Tech-support, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,1876.0,55.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,1719.0,36.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -52, Private, Some-college,10.0, Divorced, Sales, Other-relative, White, Female,0.0,0.0,20.0, United-States,>50K -45, Private, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -64, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1485.0,40.0, United-States,<=50K -74, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,4.0, United-States,<=50K -58, Federal-gov, 11th,7.0, Divorced, Craft-repair, Not-in-family, Black, Female,14084.0,0.0,40.0, United-States,>50K -44, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, State-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Never-married, Tech-support, Other-relative, White, Female,0.0,0.0,36.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -33, Private, 11th,7.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,17.0, United-States,<=50K -50, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,55.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -49, Local-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1977.0,60.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -56, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -64, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,8.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -60, Federal-gov, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,10520.0,0.0,40.0, United-States,>50K -57, State-gov, 12th,8.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2415.0,50.0, United-States,>50K -39, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,7688.0,0.0,52.0, United-States,>50K -32, Self-emp-not-inc, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -56, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,11.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -41, State-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -23, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Other-relative, Other, Female,0.0,0.0,30.0, El-Salvador,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -38, Private, HS-grad,9.0, Separated, Transport-moving, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, England,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, Prof-school,15.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -66, State-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1825.0,40.0, United-States,>50K -41, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Guatemala,<=50K -62, Private, 7th-8th,4.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, Canada,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,25.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -51, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -20, Private, HS-grad,9.0, Married-civ-spouse, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, 7th-8th,4.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -18, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -23, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,<=50K -55, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -40, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,1602.0,22.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,48.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -42, Private, 7th-8th,4.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Self-emp-inc, 11th,7.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,70.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,30.0, Ecuador,<=50K -21, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,43.0, United-States,<=50K -22, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -61, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,7298.0,0.0,40.0, Philippines,>50K -56, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Laos,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,26.0, United-States,<=50K -28, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -62, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -39, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, Black, Male,2176.0,0.0,40.0, United-States,<=50K -30, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Local-gov, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -54, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, Hong,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,78.0, United-States,<=50K -50, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, Hungary,<=50K -39, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, South,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1887.0,48.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Assoc-voc,11.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Protective-serv, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, State-gov, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -37, Local-gov, Assoc-voc,11.0, Never-married, Protective-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -69, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,9386.0,0.0,60.0, United-States,>50K -49, Federal-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,53.0, United-States,>50K -21, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,4064.0,0.0,55.0, United-States,<=50K -23, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,48.0, United-States,>50K -42, State-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -45, Private, Assoc-acdm,12.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,40.0, Cuba,<=50K -52, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -22, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,18.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,2176.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,43.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,52.0, United-States,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -47, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -21, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Assoc-acdm,12.0, Never-married, Protective-serv, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -46, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,45.0, United-States,<=50K -55, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -19, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,37.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,70.0, Germany,<=50K -37, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,4.0, United-States,<=50K -31, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -32, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,55.0, United-States,>50K -28, Private, 11th,7.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -64, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -44, Private, Some-college,10.0, Separated, Tech-support, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -34, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2051.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2885.0,0.0,50.0, United-States,<=50K -57, Private, Bachelors,13.0, Widowed, Prof-specialty, Unmarried, White, Male,10520.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,1721.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,4101.0,0.0,40.0, United-States,<=50K -56, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,32.0, United-States,>50K -42, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,70.0, United-States,>50K -29, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -54, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,1340.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -46, State-gov, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,48.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, Black, Male,0.0,0.0,30.0, Jamaica,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -66, State-gov, HS-grad,9.0, Widowed, Prof-specialty, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -39, Federal-gov, Some-college,10.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Divorced, Transport-moving, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,30.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -43, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -32, State-gov, 12th,8.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,57.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -33, Self-emp-not-inc, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -35, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0.0,0.0,30.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3411.0,0.0,25.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,1887.0,60.0, Cuba,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -25, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,42.0, United-States,<=50K -34, Local-gov, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,10.0, United-States,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -20, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,30.0, Guatemala,<=50K -47, State-gov, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -46, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -34, Private, Assoc-acdm,12.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, State-gov, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,37.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,10520.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -43, Federal-gov, Masters,14.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013.0,0.0,12.0, United-States,<=50K -55, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -39, Self-emp-not-inc, 10th,6.0, Married-spouse-absent, Other-service, Not-in-family, White, Female,0.0,1721.0,15.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,33.0, El-Salvador,<=50K -38, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,42.0, El-Salvador,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -43, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,48.0, El-Salvador,<=50K -57, Local-gov, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,7298.0,0.0,40.0, United-States,>50K -25, Local-gov, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,32.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -23, Private, 5th-6th,3.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -61, Self-emp-not-inc, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -28, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,46.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -49, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, 12th,8.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -38, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3137.0,0.0,50.0, United-States,<=50K -34, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,46.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, Peru,<=50K -27, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,84.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,25.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Other, Female,0.0,0.0,35.0, United-States,<=50K -49, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,65.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,1485.0,40.0, Haiti,<=50K -37, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -57, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -56, Private, 7th-8th,4.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,80.0, United-States,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, South,<=50K -33, Private, 9th,5.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -28, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -35, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Doctorate,16.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,3004.0,35.0, United-States,>50K -30, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, Yugoslavia,<=50K -24, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -47, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -31, Local-gov, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,47.0, United-States,>50K -43, Self-emp-not-inc, Masters,14.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Other, Male,4064.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -30, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,85.0, United-States,<=50K -36, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -20, State-gov, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1902.0,45.0, United-States,<=50K -59, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -60, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -20, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,2961.0,0.0,35.0, United-States,<=50K -47, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Self-emp-not-inc, Assoc-acdm,12.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -45, State-gov, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,2597.0,0.0,50.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, State-gov, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,38.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,20.0, United-States,<=50K -39, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, Mexico,<=50K -66, State-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -40, Local-gov, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,38.0, United-States,<=50K -51, Local-gov, HS-grad,9.0, Divorced, Protective-serv, Unmarried, White, Male,0.0,0.0,52.0, United-States,<=50K -34, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -42, Local-gov, Masters,14.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Local-gov, 7th-8th,4.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -24, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,1974.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -33, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, 10th,6.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -51, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,99.0, United-States,>50K -32, Private, 11th,7.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -37, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -63, Private, HS-grad,9.0, Widowed, Exec-managerial, Unmarried, White, Male,0.0,0.0,50.0, United-States,>50K -32, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,594.0,0.0,15.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -70, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,4386.0,0.0,30.0, United-States,>50K -49, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, Italy,<=50K -42, Private, 10th,6.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -30, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,2051.0,55.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -52, State-gov, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Masters,14.0, Widowed, Exec-managerial, Unmarried, White, Male,4934.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -72, Private, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -24, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -17, Private, 9th,5.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -39, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,70.0, United-States,>50K -57, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Local-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,36.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Unmarried, Black, Female,1151.0,0.0,50.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -51, Private, HS-grad,9.0, Widowed, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024.0,0.0,45.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -41, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Self-emp-not-inc, 11th,7.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,1617.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,45.0, United-States,>50K -27, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,68.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1848.0,45.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,1740.0,35.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -35, Private, 9th,5.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -53, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -47, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Transport-moving, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -27, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Male,2176.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Protective-serv, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, 10th,6.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,35.0, Mexico,<=50K -48, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Married-spouse-absent, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,6723.0,0.0,40.0, United-States,<=50K -31, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -68, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, Hong,<=50K -42, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0.0,1887.0,40.0, Philippines,>50K -39, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,65.0, United-States,>50K -31, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -42, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -62, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Other, Female,0.0,0.0,20.0, Cuba,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -30, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024.0,0.0,28.0, United-States,>50K -41, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,99.0, United-States,<=50K -50, Local-gov, HS-grad,9.0, Widowed, Transport-moving, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Separated, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -33, Private, 12th,8.0, Never-married, Protective-serv, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,1974.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2051.0,40.0, Poland,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,30.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,99.0, United-States,>50K -49, Self-emp-inc, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -53, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -45, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,40.0, Mexico,>50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,5060.0,0.0,30.0, United-States,<=50K -25, Self-emp-inc, Assoc-voc,11.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -51, State-gov, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -60, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Federal-gov, 10th,6.0, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, Ecuador,>50K -24, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -29, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -67, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051.0,0.0,25.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0.0,0.0,20.0, United-States,<=50K -20, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -19, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -33, Private, Some-college,10.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -43, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,2444.0,70.0, United-States,>50K -41, Local-gov, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, State-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, Other, Male,0.0,0.0,40.0, Japan,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, 1st-4th,2.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, Mexico,<=50K -40, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,90.0, United-States,>50K -29, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -57, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Local-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -54, Self-emp-not-inc, Bachelors,13.0, Divorced, Farming-fishing, Not-in-family, White, Male,27828.0,0.0,50.0, United-States,>50K -22, Private, 11th,7.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, State-gov, Bachelors,13.0, Never-married, Protective-serv, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -52, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,1741.0,40.0, United-States,<=50K -34, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,55.0, United-States,>50K -21, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Local-gov, Masters,14.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -22, State-gov, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -36, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,50.0, United-States,>50K -43, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,914.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0.0,0.0,37.0, India,>50K -17, Private, 10th,6.0, Never-married, Priv-house-serv, Other-relative, White, Male,0.0,0.0,30.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,38.0, United-States,>50K -30, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,1590.0,80.0, United-States,<=50K -40, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -31, Local-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, 1st-4th,2.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Cuba,<=50K -37, State-gov, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -32, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,594.0,0.0,40.0, United-States,<=50K -42, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -46, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, 1st-4th,2.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -59, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,0.0,1594.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2829.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,2228.0,0.0,50.0, United-States,<=50K -46, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, Black, Female,0.0,0.0,45.0, Jamaica,<=50K -44, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,38.0, United-States,>50K -30, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,3137.0,0.0,60.0, Germany,<=50K -24, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -32, Private, 10th,6.0, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0.0,0.0,37.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -67, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -56, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -26, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,20.0, India,<=50K -46, Private, Assoc-acdm,12.0, Widowed, Tech-support, Unmarried, White, Female,6497.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -38, Self-emp-not-inc, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Sales, Unmarried, Black, Male,0.0,0.0,50.0, United-States,<=50K -53, Private, HS-grad,9.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, Nicaragua,<=50K -60, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Divorced, Tech-support, Unmarried, Black, Female,0.0,0.0,48.0, United-States,<=50K -57, Federal-gov, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -59, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, 12th,8.0, Separated, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, Cuba,<=50K -18, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,9.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, Germany,<=50K -34, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -17, Local-gov, 9th,5.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Federal-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,8614.0,0.0,50.0, United-States,>50K -50, State-gov, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,37.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -39, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Farming-fishing, Other-relative, White, Male,0.0,0.0,40.0, Cuba,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Other-relative, White, Female,4416.0,0.0,25.0, United-States,<=50K -62, Private, Assoc-acdm,12.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,7.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Some-college,10.0, Separated, Tech-support, Unmarried, Black, Female,3887.0,0.0,40.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,3464.0,0.0,40.0, United-States,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,70.0, United-States,>50K -34, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -75, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,3456.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Other-relative, White, Female,0.0,0.0,50.0, Mexico,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -39, Private, 7th-8th,4.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -24, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,18.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,17.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -23, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -42, Local-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -25, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, 11th,7.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -41, Self-emp-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Federal-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, Philippines,>50K -19, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -49, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -31, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,4386.0,0.0,60.0, United-States,>50K -24, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, Other, Female,0.0,0.0,40.0, United-States,<=50K -45, State-gov, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,38.0, United-States,>50K -63, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -75, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -69, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,9386.0,0.0,50.0, United-States,>50K -33, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,52.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,1848.0,60.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -54, Local-gov, HS-grad,9.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,55.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Canada,>50K -34, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,53.0, United-States,>50K -41, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,27.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,58.0, United-States,>50K -66, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,1977.0,45.0, Hong,>50K -48, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -55, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -51, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, Germany,>50K -31, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, Bachelors,13.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,6849.0,0.0,60.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, HS-grad,9.0, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,37.0, United-States,<=50K -60, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,1092.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -40, Self-emp-inc, Masters,14.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,99.0, United-States,<=50K -57, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -55, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,60.0, United-States,<=50K -40, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -26, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, Mexico,<=50K -29, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -65, Private, 11th,7.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,35.0, Laos,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,1887.0,50.0, Iran,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,60.0, United-States,>50K -63, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,32.0, United-States,<=50K -47, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,2907.0,0.0,30.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -59, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,62.0, United-States,>50K -49, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,2407.0,0.0,50.0, United-States,<=50K -60, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -35, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Federal-gov, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Separated, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, 12th,8.0, Never-married, Other-service, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -90, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,3411.0,0.0,40.0, Jamaica,<=50K -34, State-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013.0,0.0,55.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Separated, Prof-specialty, Other-relative, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -38, Private, 11th,7.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -57, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -39, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -50, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -37, Private, Bachelors,13.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -41, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, Black, Female,0.0,0.0,36.0, United-States,<=50K -20, Private, Masters,14.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -44, Private, Masters,14.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -54, Private, HS-grad,9.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,1564.0,60.0, United-States,>50K -33, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, Puerto-Rico,<=50K -22, Private, 9th,5.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,>50K -57, Self-emp-not-inc, Some-college,10.0, Widowed, Exec-managerial, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -42, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -26, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -50, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -46, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,2176.0,0.0,20.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,60.0, Vietnam,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -50, Private, 5th-6th,3.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,34.0, Mexico,<=50K -47, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -25, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Local-gov, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,8.0, United-States,<=50K -23, Private, 1st-4th,2.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,36.0, Mexico,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -29, Self-emp-inc, HS-grad,9.0, Separated, Prof-specialty, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -59, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -23, Private, 12th,8.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -27, Private, 9th,5.0, Never-married, Priv-house-serv, Unmarried, White, Female,0.0,0.0,24.0, Mexico,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -62, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,10520.0,0.0,33.0, United-States,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -22, Self-emp-not-inc, Some-college,10.0, Never-married, Sales, Own-child, Black, Male,99999.0,0.0,55.0, United-States,>50K -33, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,5.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -46, Private, 9th,5.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,39.0, United-States,<=50K -63, Private, 9th,5.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -56, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -51, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,5.0, United-States,<=50K -27, Local-gov, Some-college,10.0, Never-married, Protective-serv, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,4650.0,0.0,40.0, United-States,<=50K -40, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -35, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1848.0,55.0, United-States,>50K -25, Private, 10th,6.0, Never-married, Transport-moving, Not-in-family, White, Male,2597.0,0.0,50.0, United-States,<=50K -53, Private, 1st-4th,2.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -26, State-gov, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -48, State-gov, Masters,14.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -40, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -52, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,60.0, Cuba,>50K -53, Local-gov, Masters,14.0, Widowed, Prof-specialty, Unmarried, Black, Female,0.0,1669.0,35.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -57, Private, Assoc-acdm,12.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,75.0, United-States,<=50K -53, Self-emp-not-inc, Assoc-voc,11.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Poland,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -31, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 9th,5.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,28.0, United-States,<=50K -25, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Private, Some-college,10.0, Never-married, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -29, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,90.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, Germany,<=50K -30, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -75, Self-emp-inc, Some-college,10.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Germany,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, China,>50K -41, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -67, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,41.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -38, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Some-college,10.0, Widowed, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Self-emp-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Poland,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -44, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1485.0,40.0, United-States,>50K -56, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, Italy,>50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1672.0,65.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Other-relative, Black, Female,0.0,0.0,20.0, United-States,<=50K -49, Private, Some-college,10.0, Separated, Exec-managerial, Unmarried, Black, Female,0.0,0.0,60.0, United-States,<=50K -51, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -46, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,3137.0,0.0,45.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Federal-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,35.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,55.0, United-States,>50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,47.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, Black, Male,14344.0,0.0,40.0, United-States,>50K -39, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2051.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -39, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Local-gov, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -42, Private, 9th,5.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,33.0, United-States,<=50K -27, Private, Some-college,10.0, Married-spouse-absent, Sales, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -51, Private, 10th,6.0, Separated, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, 1st-4th,2.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, China,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -63, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Married-spouse-absent, Transport-moving, Unmarried, Black, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Transport-moving, Unmarried, White, Female,1151.0,0.0,48.0, Germany,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -22, State-gov, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,37.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1887.0,60.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, 10th,6.0, Separated, Machine-op-inspct, Own-child, White, Male,0.0,0.0,35.0, Mexico,<=50K -42, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,65.0, United-States,<=50K -49, Self-emp-not-inc, Bachelors,13.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -30, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Assoc-voc,11.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,43.0, United-States,>50K -39, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,4687.0,0.0,50.0, United-States,>50K -43, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,66.0, France,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -74, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,48.0, Philippines,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -21, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,1564.0,50.0, United-States,>50K -49, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,44.0, United-States,>50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,7298.0,0.0,32.0, United-States,>50K -61, Self-emp-not-inc, HS-grad,9.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,16.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -44, Private, 9th,5.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1740.0,50.0, United-States,<=50K -51, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -33, Local-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -55, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,8.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,60.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,33.0, United-States,<=50K -39, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1977.0,20.0, United-States,>50K -20, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Other, Male,0.0,0.0,45.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -60, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, South,>50K -42, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -42, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, Columbia,<=50K -52, State-gov, Masters,14.0, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,4787.0,0.0,44.0, United-States,>50K -43, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -43, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, 11th,7.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, 9th,5.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Divorced, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -36, State-gov, Some-college,10.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,3674.0,0.0,40.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1340.0,42.0, United-States,<=50K -25, Local-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,38.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,1628.0,45.0, United-States,<=50K -38, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7688.0,0.0,60.0, India,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -28, Local-gov, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Male,0.0,0.0,25.0, United-States,<=50K -46, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Laos,<=50K -38, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -53, Private, Some-college,10.0, Separated, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,1902.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -46, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, England,>50K -30, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Federal-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Bachelors,13.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -58, Private, Masters,14.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,27.0, United-States,<=50K -23, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,1887.0,50.0, India,>50K -31, Federal-gov, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,16.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -27, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -61, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,58.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Other-relative, Other, Male,0.0,0.0,50.0, Ecuador,>50K -51, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,52.0, United-States,<=50K -43, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -35, Private, Bachelors,13.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,32.0, United-States,>50K -57, Private, 1st-4th,2.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -40, Private, Prof-school,15.0, Married-civ-spouse, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -42, Local-gov, 10th,6.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -67, Self-emp-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688.0,0.0,44.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, 11th,7.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,15.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Widowed, Other-service, Other-relative, Black, Female,0.0,0.0,45.0, Haiti,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -48, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -70, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,6418.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -64, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,3.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -55, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -28, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,55.0, United-States,>50K -44, Federal-gov, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,1741.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,39.0, United-States,>50K -29, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -47, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,50.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -70, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2377.0,50.0, United-States,>50K -41, Private, Prof-school,15.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -36, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Female,0.0,0.0,17.0, United-States,<=50K -29, Private, 10th,6.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -59, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1579.0,60.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -26, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,37.0, Taiwan,<=50K -57, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -59, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -53, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -32, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -44, Private, 11th,7.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Wife, White, Female,9386.0,0.0,40.0, United-States,>50K -30, State-gov, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -54, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Germany,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,16.0, United-States,>50K -28, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,42.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -55, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -55, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,3103.0,0.0,45.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298.0,0.0,40.0, United-States,>50K -40, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -30, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,30.0, Guatemala,>50K -24, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Local-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-not-inc, Some-college,10.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -24, Private, 7th-8th,4.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,32.0, El-Salvador,<=50K -73, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, Mexico,<=50K -27, Private, 12th,8.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -64, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,10.0, Mexico,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,35.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Transport-moving, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -69, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -40, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Farming-fishing, Other-relative, White, Male,10520.0,0.0,45.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,42.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,35.0, Haiti,>50K -34, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,36.0, United-States,>50K -20, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -40, Federal-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, 10th,6.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -41, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -23, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,4386.0,0.0,80.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,64.0, United-States,>50K -32, Federal-gov, Assoc-voc,11.0, Never-married, Tech-support, Own-child, Black, Male,4650.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,54.0, United-States,>50K -48, Private, Bachelors,13.0, Separated, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, State-gov, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -57, Private, Masters,14.0, Separated, Prof-specialty, Not-in-family, White, Male,10520.0,0.0,32.0, United-States,>50K -46, State-gov, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Female,3325.0,0.0,42.0, United-States,<=50K -44, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, 1st-4th,2.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,52.0, Yugoslavia,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,4.0, United-States,<=50K -49, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Divorced, Other-service, Other-relative, Black, Female,0.0,0.0,35.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -52, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -45, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -51, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -73, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Self-emp-not-inc, 11th,7.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,47.0, United-States,<=50K -39, Private, 10th,6.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, State-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -33, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Private, Bachelors,13.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,44.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,7688.0,0.0,48.0, United-States,>50K -40, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -40, Private, HS-grad,9.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,>50K -52, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -36, Private, HS-grad,9.0, Separated, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,1719.0,9.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -36, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,7298.0,0.0,55.0, United-States,>50K -38, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, Prof-school,15.0, Widowed, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -22, State-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,41.0, United-States,<=50K -59, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, Iran,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -49, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,80.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, 9th,5.0, Married-civ-spouse, Protective-serv, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, State-gov, Bachelors,13.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,26.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,2415.0,20.0, United-States,>50K -48, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -49, Private, Doctorate,16.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Other, Male,0.0,0.0,48.0, Mexico,<=50K -28, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -26, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,53.0, United-States,<=50K -45, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -74, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -61, Local-gov, HS-grad,9.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,22.0, United-States,<=50K -53, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Male,0.0,0.0,25.0, Philippines,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -18, Self-emp-inc, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -32, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,58.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, State-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,90.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386.0,0.0,50.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -54, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -48, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -51, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -67, State-gov, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -24, State-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,47.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -40, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,65.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,3103.0,0.0,35.0, Philippines,>50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -36, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -31, Private, 10th,6.0, Separated, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,99.0, United-States,>50K -52, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Federal-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Widowed, Transport-moving, Unmarried, White, Female,0.0,0.0,25.0, Outlying-US(Guam-USVI-etc),<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -34, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -28, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,1741.0,52.0, United-States,<=50K -40, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Assoc-acdm,12.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -32, Self-emp-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -43, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,40.0, Italy,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3103.0,0.0,70.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -35, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,65.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -56, Private, 9th,5.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,24.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,35.0, United-States,>50K -22, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,55.0, United-States,<=50K -37, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Self-emp-inc, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,75.0, United-States,<=50K -43, Private, Assoc-voc,11.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -58, Private, 7th-8th,4.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,33.0, United-States,<=50K -45, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,36.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Local-gov, Assoc-voc,11.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -71, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -40, Self-emp-not-inc, Prof-school,15.0, Divorced, Other-service, Not-in-family, White, Female,0.0,2339.0,35.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -52, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -38, Local-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Prof-school,15.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -57, Federal-gov, Prof-school,15.0, Divorced, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,55.0, United-States,>50K -39, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,>50K -43, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,17.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -26, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,80.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,35.0, Japan,<=50K -18, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -61, Private, 1st-4th,2.0, Widowed, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -61, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Widowed, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -45, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -26, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,55.0, United-States,>50K -58, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -64, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,8614.0,0.0,50.0, France,>50K -19, Private, HS-grad,9.0, Married-civ-spouse, Sales, Other-relative, White, Female,0.0,0.0,25.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, State-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -31, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, Some-college,10.0, Separated, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -41, Private, Some-college,10.0, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -52, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,23.0, United-States,<=50K -46, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137.0,0.0,40.0, United-States,<=50K -30, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,36.0, United-States,>50K -58, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7688.0,0.0,30.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -31, State-gov, Preschool,1.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,24.0, United-States,<=50K -52, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -29, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3411.0,0.0,70.0, Mexico,<=50K -48, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, England,<=50K -30, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -58, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Federal-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,3.0, United-States,<=50K -63, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -53, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -54, Federal-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,48.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,52.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -80, Self-emp-not-inc, 7th-8th,4.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -55, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -49, Private, Bachelors,13.0, Married-spouse-absent, Transport-moving, Unmarried, White, Male,0.0,0.0,30.0, Columbia,<=50K -27, Private, Prof-school,15.0, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -39, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,55.0, United-States,<=50K -63, Private, 9th,5.0, Separated, Farming-fishing, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,55.0, United-States,>50K -39, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,65.0, Japan,>50K -43, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0.0,1887.0,40.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,68.0, United-States,<=50K -39, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,37.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,3.0, United-States,<=50K -34, Local-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -28, Private, Assoc-acdm,12.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,7688.0,0.0,45.0, United-States,>50K -67, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -53, Self-emp-inc, Some-college,10.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -29, Local-gov, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,98.0, United-States,<=50K -54, Private, Some-college,10.0, Separated, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, White, Male,7430.0,0.0,40.0, United-States,>50K -41, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Divorced, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -82, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -40, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -40, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -27, Private, 1st-4th,2.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -34, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,15.0, United-States,<=50K -39, Private, Bachelors,13.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -28, Private, 1st-4th,2.0, Married-spouse-absent, Other-service, Own-child, Other, Female,0.0,0.0,35.0, Dominican-Republic,<=50K -30, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -61, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -27, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -59, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,>50K -42, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,34.0, United-States,<=50K -41, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,24.0, United-States,<=50K -36, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -55, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -49, Local-gov, Masters,14.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,323.0,20.0, United-States,<=50K -59, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -28, Private, 12th,8.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2415.0,60.0, United-States,>50K -59, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -35, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -55, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -48, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -48, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Cuba,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Masters,14.0, Widowed, Prof-specialty, Unmarried, Black, Female,0.0,0.0,37.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -50, Private, Bachelors,13.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -38, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,15.0, United-States,<=50K -18, Private, 9th,5.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -46, Private, 9th,5.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,45.0, United-States,>50K -44, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -32, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -60, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,55.0, United-States,<=50K -34, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -47, State-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1485.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1485.0,40.0, United-States,>50K -68, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -62, Self-emp-not-inc, 7th-8th,4.0, Widowed, Farming-fishing, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,24.0, Mexico,<=50K -32, Private, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -68, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, Peru,<=50K -47, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1848.0,40.0, United-States,>50K -34, Private, 10th,6.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -46, Local-gov, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -21, Private, 11th,7.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,2258.0,44.0, United-States,>50K -17, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -36, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -33, Private, 12th,8.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -53, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Private, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Male,14344.0,0.0,40.0, United-States,>50K -43, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Black, Female,0.0,0.0,52.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -37, Self-emp-not-inc, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -43, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,20.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Mexico,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, Other, Male,0.0,0.0,30.0, Iran,<=50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -46, State-gov, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -48, Self-emp-inc, Some-college,10.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,14.0, United-States,<=50K -31, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,70.0, United-States,<=50K -40, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -25, Private, Some-college,10.0, Divorced, Other-service, Own-child, Black, Male,0.0,0.0,38.0, United-States,<=50K -51, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -32, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,62.0, United-States,<=50K -51, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,1741.0,38.0, United-States,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -61, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2051.0,20.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,5.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,1762.0,28.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Married-civ-spouse, Transport-moving, Husband, Other, Male,0.0,0.0,36.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, 12th,8.0, Divorced, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,25.0, United-States,<=50K -46, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,8614.0,0.0,55.0, United-States,>50K -44, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -35, Private, 7th-8th,4.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -40, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -70, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Preschool,1.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,1672.0,40.0, Mexico,<=50K -18, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,5.0, United-States,<=50K -45, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,2829.0,0.0,60.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,60.0, United-States,<=50K -28, Local-gov, HS-grad,9.0, Separated, Transport-moving, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Never-married, Tech-support, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -56, Federal-gov, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -59, Private, Some-college,10.0, Separated, Adm-clerical, Other-relative, White, Male,3325.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, Black, Male,2176.0,0.0,40.0, United-States,<=50K -32, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,1055.0,0.0,30.0, United-States,<=50K -51, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3411.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Male,0.0,0.0,30.0, United-States,<=50K -53, Private, 12th,8.0, Divorced, Transport-moving, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -60, Private, Some-college,10.0, Widowed, Protective-serv, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -59, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Own-child, White, Female,7298.0,0.0,16.0, United-States,>50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,43.0, United-States,<=50K -45, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-inc, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -21, Private, 12th,8.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, State-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,35.0, Germany,<=50K -59, Federal-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -49, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -49, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, 9th,5.0, Widowed, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -54, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Separated, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -55, Private, Some-college,10.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,10.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,56.0, Germany,<=50K -61, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,60.0, United-States,<=50K -44, Federal-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -55, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,30.0, United-States,<=50K -48, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -44, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, Canada,<=50K -54, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0.0,0.0,10.0, China,>50K -56, Private, 10th,6.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -24, Federal-gov, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,13550.0,0.0,50.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -50, Private, 11th,7.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, Cambodia,>50K -38, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -48, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -39, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -52, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -63, Private, HS-grad,9.0, Widowed, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,2258.0,40.0, United-States,>50K -37, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, State-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-inc, 11th,7.0, Never-married, Exec-managerial, Other-relative, White, Male,0.0,2444.0,40.0, United-States,>50K -47, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Female,0.0,0.0,15.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Germany,<=50K -29, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,24.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -50, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Female,0.0,1408.0,5.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,25.0, United-States,<=50K -42, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -23, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -22, Private, 11th,7.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -65, Private, 5th-6th,3.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,10.0, Italy,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,1055.0,0.0,20.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -45, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,1602.0,8.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -59, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, State-gov, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,10520.0,0.0,45.0, United-States,>50K -51, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,12.0, United-States,<=50K -42, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -35, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -41, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,37.0, United-States,<=50K -34, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -44, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -31, Federal-gov, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Masters,14.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -43, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,38.0, United-States,<=50K -52, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Self-emp-not-inc, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -64, State-gov, Some-college,10.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,65.0, United-States,<=50K -68, Private, 10th,6.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -42, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -41, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -22, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -67, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051.0,0.0,20.0, United-States,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -25, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -51, Federal-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024.0,0.0,40.0, Vietnam,>50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0.0,0.0,35.0, China,<=50K -19, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -53, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Local-gov, 5th-6th,3.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Guatemala,>50K -55, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1672.0,60.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,45.0, United-States,>50K -50, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -40, Private, Preschool,1.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -51, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -56, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,44.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -47, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,45.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, Assoc-acdm,12.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,44.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, Germany,>50K -34, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -45, State-gov, Bachelors,13.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,35.0, Hong,<=50K -33, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Divorced, Farming-fishing, Unmarried, White, Female,0.0,0.0,10.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -32, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Federal-gov, Bachelors,13.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -24, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,7688.0,0.0,20.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -41, Private, Doctorate,16.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -51, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -51, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -63, Private, 10th,6.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,31.0, United-States,<=50K -39, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Without-pay, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,16.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, Other, Male,0.0,0.0,40.0, Nicaragua,<=50K -32, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2042.0,30.0, United-States,<=50K -37, Local-gov, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -31, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,43.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-spouse-absent, Sales, Unmarried, Black, Female,0.0,0.0,32.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,2042.0,34.0, United-States,<=50K -42, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,36.0, United-States,>50K -24, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Local-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -90, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -55, Private, 12th,8.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, Italy,<=50K -36, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,50.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -54, Local-gov, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -21, Private, 9th,5.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,56.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -29, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -44, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Columbia,<=50K -61, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -65, Local-gov, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1411.0,40.0, United-States,<=50K -45, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -59, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -24, Private, 1st-4th,2.0, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -36, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,2559.0,40.0, United-States,>50K -34, Private, 12th,8.0, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,35.0, Mexico,<=50K -41, Private, Some-college,10.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, Italy,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -23, Federal-gov, HS-grad,9.0, Never-married, Armed-Forces, Not-in-family, White, Male,0.0,0.0,8.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,72.0, Mexico,<=50K -54, State-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Local-gov, Some-college,10.0, Never-married, Protective-serv, Other-relative, White, Female,0.0,0.0,43.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, State-gov, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,37.0, United-States,<=50K -48, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Hong,<=50K -31, Private, 10th,6.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,72.0, Mexico,<=50K -37, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, 5th-6th,3.0, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -32, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,55.0, Ireland,<=50K -33, Local-gov, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -75, Self-emp-not-inc, Masters,14.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -74, Self-emp-not-inc, Bachelors,13.0, Widowed, Craft-repair, Not-in-family, White, Male,15831.0,0.0,8.0, Germany,>50K -26, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -36, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, 7th-8th,4.0, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -36, Private, 10th,6.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,48.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Female,6849.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -46, Private, Preschool,1.0, Married-civ-spouse, Machine-op-inspct, Other-relative, Black, Male,0.0,0.0,75.0, Dominican-Republic,<=50K -58, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,76.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -90, Local-gov, 7th-8th,4.0, Married-civ-spouse, Protective-serv, Husband, White, Male,2653.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,27828.0,0.0,40.0, Philippines,>50K -49, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, Scotland,>50K -51, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Japan,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -39, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,37.0, United-States,<=50K -48, State-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,42.0, United-States,<=50K -44, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -62, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Federal-gov, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Separated, Tech-support, Unmarried, White, Female,1471.0,0.0,32.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,47.0, United-States,>50K -60, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Separated, Protective-serv, Not-in-family, White, Male,0.0,0.0,81.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -43, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,1741.0,40.0, United-States,<=50K -31, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,30.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -53, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -52, Local-gov, 7th-8th,4.0, Never-married, Other-service, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,89.0, United-States,>50K -48, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -35, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -61, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,56.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,35.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -61, Private, 11th,7.0, Widowed, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,35.0, Mexico,<=50K -41, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -39, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -51, Local-gov, Doctorate,16.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -61, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -51, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -36, Private, Preschool,1.0, Divorced, Other-service, Not-in-family, Other, Male,0.0,0.0,72.0, Mexico,<=50K -41, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Female,7443.0,0.0,35.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,49.0, United-States,<=50K -66, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, Some-college,10.0, Married-spouse-absent, Craft-repair, Own-child, White, Male,0.0,0.0,60.0, United-States,>50K -53, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,1602.0,20.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, Black, Female,0.0,1669.0,50.0, United-States,<=50K -53, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -61, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -50, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Self-emp-not-inc, 11th,7.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, Honduras,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -85, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,3.0, Poland,<=50K -62, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -48, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -58, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -66, Private, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -37, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -55, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -50, Private, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -28, Private, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -41, Federal-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,1506.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -21, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -64, State-gov, 7th-8th,4.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, Assoc-voc,11.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Female,0.0,0.0,35.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, 11th,7.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, 11th,7.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,880.0,60.0, United-States,<=50K -71, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Masters,14.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -33, Private, 10th,6.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -50, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, 10th,6.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,38.0, Dominican-Republic,<=50K -32, Private, HS-grad,9.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,22.0, United-States,>50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,45.0, United-States,<=50K -66, Federal-gov, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3471.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -36, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,64.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Never-married, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,15.0, United-States,<=50K -32, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -34, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -54, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, Japan,>50K -37, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,39.0, United-States,<=50K -22, Private, 12th,8.0, Never-married, Protective-serv, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,46.0, United-States,<=50K -38, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, Black, Female,15020.0,0.0,45.0, United-States,>50K -45, State-gov, HS-grad,9.0, Separated, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -31, Private, Masters,14.0, Divorced, Other-service, Not-in-family, Other, Female,0.0,0.0,30.0, United-States,<=50K -39, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -37, Private, Assoc-acdm,12.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -65, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,1086.0,0.0,60.0, United-States,<=50K -43, State-gov, Some-college,10.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, Masters,14.0, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,11.0, Taiwan,<=50K -53, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,38.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -52, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024.0,0.0,40.0, United-States,>50K -25, Private, 11th,7.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,7688.0,0.0,40.0, United-States,>50K -34, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -63, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103.0,0.0,32.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -65, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,6418.0,0.0,40.0, United-States,>50K -36, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,39.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103.0,0.0,48.0, United-States,>50K -43, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -20, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -37, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,47.0, United-States,>50K -34, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,43.0, Peru,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,90.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -23, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, Black, Male,0.0,0.0,54.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -32, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -46, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,7688.0,0.0,38.0, United-States,>50K -56, Self-emp-not-inc, 11th,7.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -24, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, 5th-6th,3.0, Never-married, Priv-house-serv, Not-in-family, White, Male,0.0,0.0,50.0, Guatemala,<=50K -17, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, State-gov, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,36.0, United-States,>50K -39, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3908.0,0.0,50.0, United-States,<=50K -52, Private, 11th,7.0, Separated, Priv-house-serv, Not-in-family, Black, Female,0.0,0.0,18.0, United-States,<=50K -56, Self-emp-inc, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,1721.0,24.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,14084.0,0.0,60.0, United-States,>50K -38, Private, 9th,5.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0.0,0.0,54.0, Mexico,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,50.0, United-States,>50K -42, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -46, Private, HS-grad,9.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -46, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -21, Private, Some-college,10.0, Separated, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -69, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Separated, Other-service, Not-in-family, White, Male,0.0,1876.0,40.0, United-States,<=50K -31, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -20, Federal-gov, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -24, Federal-gov, Some-college,10.0, Never-married, Armed-Forces, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -49, Federal-gov, 7th-8th,4.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,20.0, United-States,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,5178.0,0.0,10.0, United-States,>50K -59, Federal-gov, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Masters,14.0, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,39.0, United-States,<=50K -58, Self-emp-not-inc, 9th,5.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,28.0, United-States,<=50K -36, Private, 10th,6.0, Separated, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,2597.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,16.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,48.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -31, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -69, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -48, Federal-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, Ireland,>50K -41, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,50.0, United-States,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,41.0, United-States,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,48.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -49, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -23, Private, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,22.0, Germany,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -43, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -34, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,2907.0,0.0,30.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,14.0, United-States,<=50K -27, Private, 11th,7.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,32.0, United-States,<=50K -50, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -22, Private, 11th,7.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -40, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Handlers-cleaners, Unmarried, Black, Female,0.0,625.0,40.0, United-States,<=50K -38, Self-emp-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,16.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,25.0, United-States,<=50K -58, Local-gov, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,33.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -34, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, 12th,8.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -48, Local-gov, Masters,14.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -24, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,37.0, United-States,<=50K -33, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -34, Private, Masters,14.0, Never-married, Exec-managerial, Own-child, White, Male,4650.0,0.0,40.0, United-States,<=50K -56, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -37, Private, Bachelors,13.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -39, Private, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -47, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,37.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Prof-specialty, Unmarried, Black, Female,0.0,0.0,55.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Private, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,54.0, United-States,<=50K -45, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -73, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -19, Private, 11th,7.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,12.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -38, Federal-gov, Assoc-voc,11.0, Divorced, Craft-repair, Unmarried, White, Female,6497.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, Black, Female,0.0,0.0,32.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Federal-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -21, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,38.0, Mexico,<=50K -31, Private, Assoc-voc,11.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -39, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -63, Local-gov, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,38.0, United-States,>50K -53, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Priv-house-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -55, Private, Masters,14.0, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,50.0, Thailand,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -80, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,28.0, Haiti,<=50K -26, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2057.0,60.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -62, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -22, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -44, State-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,35.0, United-States,<=50K -62, Federal-gov, Some-college,10.0, Divorced, Tech-support, Not-in-family, Black, Male,4650.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, State-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -72, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,1429.0,20.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -28, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -29, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -31, Private, 11th,7.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -58, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -64, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -46, State-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,35.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Male,0.0,0.0,52.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -58, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Protective-serv, Not-in-family, Black, Male,0.0,0.0,60.0, United-States,<=50K -35, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,55.0, United-States,<=50K -41, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Federal-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -63, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, 10th,6.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,1590.0,40.0, United-States,<=50K -30, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,32.0, El-Salvador,>50K -23, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Farming-fishing, Not-in-family, White, Male,27828.0,0.0,60.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male,0.0,2057.0,48.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, 11th,7.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,1721.0,38.0, Puerto-Rico,<=50K -38, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,3103.0,0.0,84.0, Vietnam,<=50K -56, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -44, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,4934.0,0.0,45.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,4064.0,0.0,35.0, United-States,<=50K -51, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,42.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -68, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -26, Private, HS-grad,9.0, Separated, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,42.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -43, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,3674.0,0.0,42.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, 9th,5.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,55.0, Dominican-Republic,<=50K -56, Private, 10th,6.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -48, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,2174.0,0.0,40.0, United-States,<=50K -31, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -66, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,10605.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -39, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, Black, Female,99999.0,0.0,40.0, United-States,>50K -59, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -36, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,12.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,84.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,50.0, United-States,>50K -33, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -50, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,80.0, United-States,>50K -32, Federal-gov, Assoc-acdm,12.0, Never-married, Protective-serv, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -57, Private, Some-college,10.0, Divorced, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -29, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,25.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -33, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,8.0, United-States,<=50K -26, Private, 10th,6.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Germany,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,68.0, United-States,<=50K -41, Private, 7th-8th,4.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0.0,1485.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, South,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,15.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, Doctorate,16.0, Married-AF-spouse, Exec-managerial, Wife, White, Female,0.0,1485.0,35.0, United-States,>50K -52, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -29, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,99.0, United-States,>50K -47, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, Columbia,<=50K -49, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,37.0, United-States,<=50K -40, Private, 11th,7.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,55.0, United-States,>50K -50, Private, Bachelors,13.0, Divorced, Prof-specialty, Other-relative, White, Female,0.0,0.0,50.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Separated, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0.0,0.0,60.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, Japan,>50K -36, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, India,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Never-married, Tech-support, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -38, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,24.0, United-States,>50K -36, Private, 11th,7.0, Divorced, Transport-moving, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,1055.0,0.0,70.0, United-States,<=50K -42, Federal-gov, 10th,6.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -50, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -37, State-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, Cambodia,<=50K -54, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -52, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Tech-support, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Separated, Adm-clerical, Unmarried, Black, Female,114.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -59, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -64, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Other, Male,0.0,0.0,20.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,37.0, United-States,<=50K -62, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,2580.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -44, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3411.0,0.0,50.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Other, Male,2174.0,0.0,40.0, United-States,<=50K -37, State-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -43, Federal-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -24, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -19, Local-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,1721.0,35.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Germany,<=50K -50, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,39.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -44, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -45, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, State-gov, 11th,7.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Sales, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Federal-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, Poland,>50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,2907.0,0.0,40.0, United-States,<=50K -73, Self-emp-not-inc, Some-college,10.0, Widowed, Farming-fishing, Not-in-family, White, Female,0.0,0.0,75.0, United-States,<=50K -39, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, White, Male,4508.0,0.0,40.0, Mexico,<=50K -25, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-AF-spouse, Sales, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -51, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,28.0, United-States,<=50K -31, Private, Bachelors,13.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,17.0, United-States,<=50K -46, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,27828.0,0.0,50.0, United-States,>50K -73, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -20, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,28.0, United-States,<=50K -33, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -36, State-gov, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, Laos,<=50K -62, State-gov, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -33, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,55.0, Mexico,<=50K -36, Local-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,33.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -61, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -20, Federal-gov, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Private, 10th,6.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Transport-moving, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,18.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Separated, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2051.0,60.0, United-States,<=50K -64, State-gov, 1st-4th,2.0, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0.0,0.0,45.0, Columbia,<=50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -53, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Black, Male,2174.0,0.0,50.0, United-States,<=50K -24, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,37.0, United-States,<=50K -60, Private, Some-college,10.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -30, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -54, Private, HS-grad,9.0, Widowed, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -55, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, England,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, Philippines,>50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -26, Private, 10th,6.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -48, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, Some-college,10.0, Separated, Adm-clerical, Not-in-family, Black, Male,8614.0,0.0,40.0, United-States,>50K -52, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, State-gov, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -43, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,60.0, India,<=50K -35, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -73, Private, 5th-6th,3.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,54.0, United-States,>50K -25, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,2377.0,65.0, United-States,<=50K -32, Private, HS-grad,9.0, Separated, Other-service, Own-child, White, Female,0.0,0.0,37.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Masters,14.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -53, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -49, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298.0,0.0,50.0, United-States,>50K -28, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -26, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,3103.0,0.0,45.0, United-States,>50K -23, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, Germany,>50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,13550.0,0.0,50.0, United-States,>50K -33, Private, Some-college,10.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,2907.0,0.0,30.0, United-States,<=50K -36, Private, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Cuba,<=50K -44, Local-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 5th-6th,3.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Local-gov, HS-grad,9.0, Separated, Exec-managerial, Unmarried, Black, Female,6497.0,0.0,35.0, United-States,<=50K -18, Self-emp-inc, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -59, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,28.0, United-States,<=50K -50, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -51, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1672.0,55.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0.0,0.0,35.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Widowed, Adm-clerical, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -67, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,50.0, Cuba,<=50K -36, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -29, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,48.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,40.0, Haiti,<=50K -51, Private, 7th-8th,4.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -52, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1628.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,53.0, United-States,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -21, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, HS-grad,9.0, Separated, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -33, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,37.0, United-States,<=50K -42, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -41, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -54, Federal-gov, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,42.0, United-States,>50K -24, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -57, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -58, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,1055.0,0.0,25.0, United-States,<=50K -20, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -26, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,20.0, England,<=50K -33, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 10th,6.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,15024.0,0.0,20.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,20.0, United-States,<=50K -35, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,1902.0,20.0, United-States,>50K -63, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -53, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,10.0, Philippines,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,6849.0,0.0,40.0, United-States,<=50K -35, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,75.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -47, Private, Some-college,10.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -25, Federal-gov, Bachelors,13.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,1590.0,40.0, United-States,<=50K -59, Local-gov, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, 10th,6.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,2463.0,0.0,50.0, England,<=50K -31, Private, HS-grad,9.0, Divorced, Sales, Unmarried, Other, Female,0.0,0.0,40.0, Mexico,<=50K -49, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -60, Self-emp-not-inc, Doctorate,16.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -33, Self-emp-not-inc, 12th,8.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -38, Federal-gov, Assoc-voc,11.0, Divorced, Adm-clerical, Own-child, Black, Male,0.0,0.0,52.0, United-States,<=50K -58, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -52, Private, Some-college,10.0, Separated, Sales, Other-relative, White, Female,0.0,0.0,55.0, United-States,<=50K -22, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -39, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,55.0, United-States,>50K -56, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2580.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -44, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -54, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,2174.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -43, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,99999.0,0.0,60.0, United-States,>50K -41, Self-emp-not-inc, 11th,7.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,25.0, Mexico,<=50K -26, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, State-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -62, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,2885.0,0.0,45.0, United-States,<=50K -58, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,65.0, United-States,>50K -44, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, 12th,8.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -65, Self-emp-not-inc, 7th-8th,4.0, Never-married, Farming-fishing, Not-in-family, White, Male,2964.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -35, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,48.0, United-States,>50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,1741.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -35, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,96.0, United-States,<=50K -56, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-inc, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7298.0,0.0,50.0, Thailand,>50K -42, Private, Assoc-voc,11.0, Separated, Sales, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,50.0, Taiwan,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -38, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Self-emp-not-inc, 7th-8th,4.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -41, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -37, Local-gov, Assoc-acdm,12.0, Married-spouse-absent, Other-service, Unmarried, Black, Female,0.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,28.0, United-States,<=50K -30, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0.0,0.0,60.0, South,<=50K -41, State-gov, Prof-school,15.0, Widowed, Prof-specialty, Not-in-family, Other, Female,0.0,0.0,52.0, United-States,>50K -37, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,45.0, United-States,>50K -49, Federal-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -41, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,0.0,50.0, United-States,>50K -52, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, Black, Female,1471.0,0.0,40.0, United-States,<=50K -25, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,2444.0,40.0, United-States,>50K -44, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Local-gov, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,33.0, United-States,<=50K -53, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1876.0,55.0, United-States,<=50K -30, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -36, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -32, Private, 11th,7.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,33.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,28.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -45, Private, 7th-8th,4.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,21.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -31, Private, HS-grad,9.0, Separated, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 11th,7.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,8.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013.0,0.0,35.0, United-States,<=50K -27, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, Preschool,1.0, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -32, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -67, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,10566.0,0.0,15.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Local-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -30, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, 10th,6.0, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,20.0, United-States,<=50K -57, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Other-relative, White, Male,0.0,0.0,40.0, Italy,<=50K -46, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,10.0, United-States,>50K -41, State-gov, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Female,2463.0,0.0,30.0, United-States,<=50K -34, Local-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,45.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -67, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, Cuba,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,1408.0,48.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -44, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -23, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,90.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -71, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, State-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -21, Private, Preschool,1.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,25.0, Mexico,<=50K -28, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,2354.0,0.0,60.0, United-States,<=50K -27, Local-gov, Assoc-acdm,12.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,37.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,2001.0,25.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,35.0, England,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -50, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -66, State-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,1424.0,0.0,10.0, United-States,<=50K -38, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,46.0, United-States,<=50K -62, Private, 12th,8.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -36, Federal-gov, Masters,14.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -47, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -70, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,8.0, United-States,<=50K -52, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -70, Private, 9th,5.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,18.0, United-States,<=50K -19, State-gov, HS-grad,9.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,3.0, United-States,<=50K -37, Private, 11th,7.0, Separated, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, State-gov, Some-college,10.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -56, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, Poland,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,2001.0,30.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,60.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2042.0,50.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,30.0, United-States,>50K -61, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -46, State-gov, Assoc-voc,11.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,39.0, United-States,<=50K -56, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Federal-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, Canada,<=50K -24, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -73, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,1.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, Cuba,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -19, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, Black, Male,0.0,0.0,50.0, Puerto-Rico,>50K -31, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -47, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,1876.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Private, 1st-4th,2.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,55.0, Portugal,>50K -45, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -70, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,1455.0,0.0,40.0, United-States,<=50K -27, Local-gov, 12th,8.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,44.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -23, Private, HS-grad,9.0, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -90, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1825.0,50.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1902.0,44.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,99.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,38.0, United-States,<=50K -41, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -50, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -54, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Sales, Other-relative, White, Female,0.0,0.0,38.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,35.0, United-States,>50K -21, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,36.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -39, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -73, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,12.0, United-States,<=50K -57, Private, Assoc-voc,11.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -27, Self-emp-not-inc, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,48.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -67, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -38, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,>50K -54, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, 10th,6.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -34, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,49.0, United-States,<=50K -80, Private, HS-grad,9.0, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Local-gov, 11th,7.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,35.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Local-gov, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Other-service, Wife, White, Female,3103.0,0.0,40.0, United-States,>50K -59, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -52, Private, 1st-4th,2.0, Divorced, Farming-fishing, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -24, Private, 12th,8.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Prof-school,15.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -66, Private, 7th-8th,4.0, Divorced, Other-service, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -30, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,4416.0,0.0,40.0, United-States,<=50K -49, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,80.0, United-States,>50K -40, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, State-gov, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,37.0, United-States,>50K -23, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Germany,<=50K -60, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,67.0, United-States,>50K -44, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,27828.0,0.0,60.0, United-States,>50K -53, Self-emp-not-inc, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, White, Male,25236.0,0.0,60.0, United-States,>50K -66, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -44, Local-gov, Assoc-voc,11.0, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,3674.0,0.0,42.0, United-States,<=50K -38, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -26, Private, 11th,7.0, Never-married, Transport-moving, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -58, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137.0,0.0,40.0, United-States,<=50K -59, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -36, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,8614.0,0.0,52.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -59, Local-gov, 10th,6.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,15.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,1977.0,25.0, United-States,>50K -38, Self-emp-not-inc, HS-grad,9.0, Separated, Exec-managerial, Unmarried, White, Male,0.0,0.0,25.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -34, Self-emp-not-inc, Assoc-voc,11.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Local-gov, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, 10th,6.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,47.0, United-States,>50K -37, Private, 7th-8th,4.0, Separated, Other-service, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -40, Federal-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,0.0,10.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, Black, Male,0.0,0.0,48.0, United-States,<=50K -36, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -41, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Nicaragua,<=50K -25, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -63, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -65, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,18.0, United-States,<=50K -77, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -67, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Local-gov, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -53, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -37, Self-emp-inc, Masters,14.0, Divorced, Prof-specialty, Not-in-family, Black, Male,4787.0,0.0,40.0, United-States,>50K -44, State-gov, Some-college,10.0, Separated, Tech-support, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,60.0, United-States,>50K -62, Federal-gov, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,2829.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -32, State-gov, Some-college,10.0, Divorced, Prof-specialty, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -47, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, 10th,6.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -32, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -54, Private, 7th-8th,4.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, Preschool,1.0, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,25.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,33.0, United-States,<=50K -37, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -53, State-gov, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -64, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -55, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -63, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -53, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Other, Female,4865.0,0.0,45.0, Mexico,<=50K -18, Private, 11th,7.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -62, Private, 11th,7.0, Widowed, Handlers-cleaners, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,48.0, Germany,>50K -58, State-gov, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024.0,0.0,43.0, United-States,>50K -33, Private, 10th,6.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -81, Private, 7th-8th,4.0, Widowed, Machine-op-inspct, Unmarried, White, Female,1264.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,35.0, China,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,52.0, United-States,<=50K -48, Self-emp-not-inc, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -45, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,48.0, United-States,>50K -48, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -37, State-gov, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -63, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -38, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, 5th-6th,3.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -30, Private, 9th,5.0, Divorced, Farming-fishing, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2415.0,40.0, United-States,>50K -26, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, Black, Male,6849.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,54.0, United-States,<=50K -34, State-gov, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -33, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,76.0, United-States,>50K -17, Private, 7th-8th,4.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,36.0, Mexico,<=50K -27, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -53, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,41.0, United-States,>50K -43, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Bachelors,13.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -60, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,65.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -61, Private, HS-grad,9.0, Widowed, Transport-moving, Unmarried, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -71, Federal-gov, 10th,6.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, Canada,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -31, Local-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,99.0, Columbia,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -63, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,21.0, United-States,<=50K -53, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -34, State-gov, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, Some-college,10.0, Separated, Craft-repair, Unmarried, White, Male,1506.0,0.0,40.0, Honduras,<=50K -49, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -28, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,55.0, United-States,<=50K -44, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -49, Private, 5th-6th,3.0, Married-spouse-absent, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,20.0, Vietnam,<=50K -34, Private, 7th-8th,4.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -27, Self-emp-not-inc, Bachelors,13.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -38, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,1719.0,48.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Sales, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -44, State-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -63, Private, 10th,6.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -39, State-gov, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,45.0, United-States,>50K -44, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013.0,0.0,60.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Female,4650.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,70.0, Iran,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,52.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,10.0, United-States,<=50K -46, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,45.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -74, Local-gov, 7th-8th,4.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, 12th,8.0, Never-married, Transport-moving, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -64, Federal-gov, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -44, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,25.0, United-States,>50K -59, Private, Bachelors,13.0, Widowed, Exec-managerial, Unmarried, White, Male,0.0,3004.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -54, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, Canada,>50K -33, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,30.0, Dominican-Republic,<=50K -44, Private, 1st-4th,2.0, Married-civ-spouse, Transport-moving, Wife, White, Female,3908.0,0.0,60.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,17.0, United-States,<=50K -56, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, England,>50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, 11th,7.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, Black, Male,0.0,0.0,20.0, United-States,<=50K -39, Federal-gov, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -51, Local-gov, Masters,14.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,39.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,594.0,0.0,24.0, United-States,<=50K -49, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,42.0, United-States,>50K -46, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,8.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -45, Private, 12th,8.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Self-emp-inc, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,1590.0,40.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -53, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -24, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,56.0, United-States,>50K -38, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -34, Local-gov, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,32.0, United-States,>50K -46, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -50, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Private, Some-college,10.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,23.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -29, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -43, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -38, Private, 10th,6.0, Married-spouse-absent, Other-service, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -64, Private, 7th-8th,4.0, Separated, Priv-house-serv, Not-in-family, Other, Female,0.0,0.0,35.0, Mexico,<=50K -37, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Amer-Indian-Eskimo, Male,27828.0,0.0,40.0, United-States,>50K -48, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -27, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Masters,14.0, Widowed, Prof-specialty, Not-in-family, White, Female,10520.0,0.0,38.0, United-States,>50K -42, Private, 9th,5.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male,0.0,0.0,49.0, Haiti,<=50K -71, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -29, Federal-gov, 10th,6.0, Separated, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,16.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,2.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,>50K -47, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Separated, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, 12th,8.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -33, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,58.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,38.0, United-States,>50K -50, Private, HS-grad,9.0, Divorced, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,12.0, United-States,<=50K -63, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Male,0.0,625.0,50.0, United-States,<=50K -38, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Self-emp-not-inc, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,25.0, United-States,<=50K -44, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,2354.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -37, Private, 1st-4th,2.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -30, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -19, Private, 9th,5.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,50.0, Mexico,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -65, Federal-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -29, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024.0,0.0,60.0, United-States,>50K -62, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,26.0, United-States,<=50K -54, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -45, State-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -37, State-gov, Some-college,10.0, Never-married, Prof-specialty, Unmarried, Black, Female,0.0,0.0,15.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,34.0, South,<=50K -29, Private, Bachelors,13.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -62, Private, 7th-8th,4.0, Widowed, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -58, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -62, Private, 11th,7.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,12.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Unmarried, White, Male,4934.0,0.0,50.0, United-States,>50K -42, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,46.0, United-States,<=50K -21, Private, 11th,7.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -62, Local-gov, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -53, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,48.0, United-States,>50K -47, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178.0,0.0,45.0, United-States,>50K -57, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -63, Self-emp-inc, 5th-6th,3.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, 10th,6.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,8.0, United-States,>50K -52, State-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, Doctorate,16.0, Divorced, Exec-managerial, Not-in-family, White, Male,99999.0,0.0,60.0, United-States,>50K -26, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,2001.0,40.0, United-States,<=50K -58, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -48, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,4865.0,0.0,48.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -45, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, Guatemala,<=50K -21, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0.0,0.0,15.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -41, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1902.0,40.0, United-States,>50K -35, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,>50K -23, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -26, Local-gov, 10th,6.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -78, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -28, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -55, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,4.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Poland,<=50K -46, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,7.0, United-States,<=50K -40, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -44, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -69, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, 1st-4th,2.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -47, Local-gov, 11th,7.0, Divorced, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3464.0,0.0,40.0, Mexico,<=50K -25, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Private, 7th-8th,4.0, Widowed, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Federal-gov, Bachelors,13.0, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -82, Self-emp-inc, 7th-8th,4.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,10520.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,20051.0,0.0,40.0, United-States,>50K -66, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,60.0, United-States,<=50K -40, Private, Some-college,10.0, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,0.0,0.0,30.0, United-States,<=50K -37, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Masters,14.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,1977.0,50.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, Canada,<=50K -59, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,10.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, State-gov, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -43, Private, Bachelors,13.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,15.0, Haiti,<=50K -55, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2179.0,60.0, United-States,<=50K -21, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, State-gov, Masters,14.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -35, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,4101.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -28, Self-emp-not-inc, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-inc, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -31, State-gov, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, 10th,6.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Federal-gov, Masters,14.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,1902.0,40.0, United-States,>50K -32, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,8614.0,0.0,45.0, United-States,>50K -27, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Self-emp-inc, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,60.0, United-States,>50K -43, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,38.0, United-States,>50K -50, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,36.0, United-States,>50K -42, Federal-gov, Assoc-acdm,12.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -31, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,17.0, United-States,<=50K -58, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -35, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,38.0, United-States,>50K -40, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,1573.0,45.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -69, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,1429.0,30.0, United-States,<=50K -74, Private, Assoc-voc,11.0, Widowed, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -48, Local-gov, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,1797.0,0.0,24.0, United-States,<=50K -40, State-gov, Prof-school,15.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Widowed, Craft-repair, Unmarried, White, Male,0.0,0.0,51.0, United-States,<=50K -22, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,17.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, Nicaragua,<=50K -51, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -67, Local-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -59, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -66, Private, HS-grad,9.0, Widowed, Priv-house-serv, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -33, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,45.0, United-States,>50K -39, Local-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,38.0, United-States,>50K -19, Private, Preschool,1.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,36.0, Mexico,<=50K -44, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,2205.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,42.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3137.0,0.0,50.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Prof-specialty, Own-child, White, Male,3325.0,0.0,35.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, Ireland,<=50K -32, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Masters,14.0, Married-civ-spouse, Protective-serv, Husband, White, Male,15024.0,0.0,78.0, United-States,>50K -37, Self-emp-not-inc, Preschool,1.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, Mexico,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,0.0,60.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -41, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -49, Self-emp-not-inc, Doctorate,16.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,63.0, Canada,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,2829.0,0.0,28.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -69, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1258.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,3464.0,0.0,60.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2407.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, Other, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -48, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Tech-support, Other-relative, Black, Female,0.0,0.0,10.0, United-States,<=50K -22, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -39, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -23, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -40, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, Germany,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -58, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, State-gov, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Separated, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,55.0, United-States,<=50K -28, State-gov, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, Germany,<=50K -35, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,22.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,594.0,0.0,15.0, United-States,<=50K -37, Private, 9th,5.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -70, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Scotland,<=50K -21, Local-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, India,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -42, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -52, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Local-gov, Some-college,10.0, Widowed, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Local-gov, 7th-8th,4.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -45, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Federal-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,42.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, 9th,5.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,4416.0,0.0,45.0, Philippines,<=50K -39, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, 1st-4th,2.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -48, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -53, Self-emp-not-inc, HS-grad,9.0, Widowed, Farming-fishing, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -25, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, Bachelors,13.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,30.0, United-States,<=50K -36, Private, 5th-6th,3.0, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -51, State-gov, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,25.0, Nicaragua,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -62, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -30, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3471.0,0.0,45.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,30.0, United-States,<=50K -39, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, HS-grad,9.0, Separated, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Protective-serv, Unmarried, White, Female,0.0,0.0,23.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,20.0, India,<=50K -55, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -47, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -64, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,2339.0,40.0, El-Salvador,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -40, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Assoc-voc,11.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -54, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -32, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -26, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -23, Private, Some-college,10.0, Separated, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, 9th,5.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Married-spouse-absent, Adm-clerical, Other-relative, White, Male,0.0,0.0,60.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -34, Local-gov, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,1055.0,0.0,30.0, United-States,<=50K -36, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,99.0, United-States,<=50K -38, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -35, State-gov, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -18, Private, 12th,8.0, Never-married, Protective-serv, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -53, Federal-gov, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,5013.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -44, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, Puerto-Rico,<=50K -57, Private, 5th-6th,3.0, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,37.0, United-States,<=50K -40, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, Iran,<=50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -19, Private, 5th-6th,3.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,36.0, Mexico,<=50K -40, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,84.0, United-States,<=50K -20, Self-emp-not-inc, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -41, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,30.0, United-States,<=50K -49, State-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -37, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -67, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386.0,0.0,58.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,10.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,2339.0,45.0, United-States,<=50K -37, State-gov, Some-college,10.0, Widowed, Transport-moving, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,1726.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,2258.0,70.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -67, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,18.0, United-States,<=50K -69, Private, Assoc-voc,11.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1672.0,42.0, United-States,<=50K -52, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -47, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,1590.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -34, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, State-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -60, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,3325.0,0.0,35.0, United-States,<=50K -46, Local-gov, Masters,14.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-inc, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,52.0, United-States,<=50K -44, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,60.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Federal-gov, 11th,7.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -51, Self-emp-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -42, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 10th,6.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,30.0, El-Salvador,<=50K -24, Self-emp-not-inc, 7th-8th,4.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 9th,5.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,35.0, Mexico,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -53, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -20, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Black, Male,13550.0,0.0,40.0, United-States,>50K -46, Private, Bachelors,13.0, Divorced, Exec-managerial, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -66, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,2653.0,0.0,40.0, United-States,<=50K -38, State-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,28.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,>50K -26, Local-gov, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,25.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Sales, Own-child, Other, Male,0.0,0.0,38.0, United-States,<=50K -29, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,80.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -47, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -52, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Other, Male,0.0,0.0,40.0, Jamaica,>50K -27, Private, 11th,7.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -72, Private, HS-grad,9.0, Widowed, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -27, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -49, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, State-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,65.0, United-States,<=50K -45, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,1340.0,50.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -54, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -48, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 9th,5.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, 11th,7.0, Married-civ-spouse, Tech-support, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, 7th-8th,4.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, 11th,7.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -48, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -71, Private, 9th,5.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,39.0, Cuba,<=50K -26, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -47, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -60, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,38.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -41, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,>50K -24, Local-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -39, Local-gov, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,2415.0,3.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -68, State-gov, Masters,14.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,5.0, United-States,<=50K -30, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024.0,0.0,40.0, Philippines,>50K -49, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, Portugal,<=50K -24, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,44.0, United-States,<=50K -40, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -56, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,21.0, China,<=50K -42, State-gov, Doctorate,16.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,36.0, Jamaica,<=50K -37, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -40, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,52.0, United-States,>50K -33, Private, 11th,7.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,34.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -41, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,38.0, United-States,>50K -56, Federal-gov, Assoc-voc,11.0, Widowed, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,35.0, United-States,>50K -37, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Male,1506.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,46.0, United-States,<=50K -42, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Local-gov, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -25, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -29, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Honduras,>50K -47, Private, Some-college,10.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -30, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -57, Federal-gov, 10th,6.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -24, Self-emp-inc, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -32, Private, 7th-8th,4.0, Married-spouse-absent, Farming-fishing, Other-relative, White, Male,0.0,0.0,35.0, Mexico,<=50K -67, Local-gov, 7th-8th,4.0, Widowed, Other-service, Not-in-family, White, Female,1086.0,0.0,15.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,42.0, Mexico,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, State-gov, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -48, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,24.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,50.0, South,>50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -37, Private, 10th,6.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -43, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,28.0, United-States,<=50K -23, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,1504.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -34, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, India,>50K -25, Private, Some-college,10.0, Married-spouse-absent, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,1887.0,38.0, United-States,>50K -47, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -36, Private, Bachelors,13.0, Divorced, Priv-house-serv, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2415.0,50.0, United-States,>50K -66, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -58, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,48.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Female,99999.0,0.0,40.0, United-States,>50K -51, Self-emp-not-inc, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,2559.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -57, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Federal-gov, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,37.0, Ecuador,>50K -54, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -75, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -51, Private, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,3325.0,0.0,40.0, Yugoslavia,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -31, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Bachelors,13.0, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, Black, Female,0.0,0.0,36.0, United-States,<=50K -46, Private, 10th,6.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,23.0, United-States,<=50K -69, Private, Assoc-voc,11.0, Widowed, Adm-clerical, Not-in-family, White, Female,1848.0,0.0,50.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -58, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, United-States,>50K -29, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,1848.0,40.0, United-States,>50K -55, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -29, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,2258.0,45.0, United-States,>50K -37, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,52.0, United-States,<=50K -36, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -29, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -51, Local-gov, 11th,7.0, Never-married, Farming-fishing, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -53, Private, 10th,6.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, China,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2885.0,0.0,40.0, United-States,<=50K -44, Private, 1st-4th,2.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -37, Self-emp-inc, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -56, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,3325.0,0.0,45.0, United-States,<=50K -58, Private, Some-college,10.0, Widowed, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,56.0, United-States,<=50K -19, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,33.0, United-States,<=50K -43, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Transport-moving, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -62, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -46, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,60.0, United-States,<=50K -54, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -43, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,80.0, United-States,<=50K -47, Local-gov, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,35.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Male,14344.0,0.0,40.0, United-States,>50K -51, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -53, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -53, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,37.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -32, Self-emp-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, 10th,6.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -22, Self-emp-inc, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,30.0, Mexico,<=50K -30, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,65.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Divorced, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,34.0, United-States,<=50K -53, Private, 1st-4th,2.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Private, 7th-8th,4.0, Widowed, Priv-house-serv, Not-in-family, Black, Female,0.0,1668.0,31.0, United-States,<=50K -22, State-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,60.0, United-States,<=50K -65, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,16.0, United-States,>50K -21, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,50.0, South,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -52, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,12.0, El-Salvador,<=50K -62, Private, 10th,6.0, Widowed, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, 10th,6.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,80.0, United-States,<=50K -41, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, 9th,5.0, Never-married, Transport-moving, Not-in-family, White, Male,6849.0,0.0,35.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3103.0,0.0,70.0, United-States,>50K -61, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Exec-managerial, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -60, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -32, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298.0,0.0,70.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,56.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,1151.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, England,<=50K -44, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -27, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,24.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -74, Private, 7th-8th,4.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -44, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -48, Private, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Male,14084.0,0.0,45.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -33, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,1974.0,30.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -47, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,55.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -65, Private, Prof-school,15.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,48.0, Hungary,>50K -17, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -58, Private, Bachelors,13.0, Widowed, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, State-gov, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -38, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -69, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Married-spouse-absent, Sales, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,2993.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, Thailand,<=50K -40, Private, HS-grad,9.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -29, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -33, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, 5th-6th,3.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,40.0, Italy,<=50K -28, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,39.0, United-States,<=50K -72, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, White, Male,2290.0,0.0,45.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,48.0, United-States,>50K -33, State-gov, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,99.0, United-States,>50K -36, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, Other, Male,0.0,0.0,32.0, United-States,<=50K -38, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Assoc-voc,11.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -81, Self-emp-not-inc, Bachelors,13.0, Widowed, Farming-fishing, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -41, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,92.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,46.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -54, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, 9th,5.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,40.0, Mexico,<=50K -19, Local-gov, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,8.0, United-States,>50K -37, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,25.0, United-States,<=50K -31, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, United-States,>50K -31, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, HS-grad,9.0, Widowed, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, Haiti,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 11th,7.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,30.0, United-States,<=50K -60, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -32, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,1741.0,40.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -52, Private, Bachelors,13.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,25.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -69, Private, HS-grad,9.0, Widowed, Tech-support, Unmarried, White, Female,0.0,0.0,8.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -57, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,1980.0,44.0, United-States,<=50K -54, Federal-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -41, Local-gov, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137.0,0.0,42.0, United-States,<=50K -57, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,15.0, United-States,<=50K -53, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, 5th-6th,3.0, Never-married, Farming-fishing, Unmarried, Black, Male,0.0,0.0,40.0, Mexico,<=50K -61, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,2051.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -72, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2377.0,35.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -46, Private, HS-grad,9.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -59, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -25, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,2174.0,0.0,40.0, United-States,<=50K -35, State-gov, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -49, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -49, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,7688.0,0.0,45.0, United-States,>50K -39, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,31.0, Cuba,>50K -26, Private, 10th,6.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -26, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -71, Local-gov, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,3.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,42.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, HS-grad,9.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,38.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Federal-gov, HS-grad,9.0, Divorced, Protective-serv, Unmarried, Black, Male,1506.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -33, Private, Some-college,10.0, Separated, Craft-repair, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -21, Local-gov, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Federal-gov, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,80.0, United-States,<=50K -47, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -47, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -68, Self-emp-not-inc, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,2444.0,40.0, United-States,>50K -42, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,3103.0,0.0,40.0, Mexico,>50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,1564.0,50.0, United-States,>50K -61, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,2290.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, Germany,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Federal-gov, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Widowed, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Priv-house-serv, Unmarried, White, Female,0.0,0.0,60.0, Columbia,<=50K -43, State-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -48, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1408.0,50.0, Hong,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -28, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -25, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, 9th,5.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,21.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, State-gov, Some-college,10.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,15020.0,0.0,48.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -26, State-gov, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013.0,0.0,45.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,15024.0,0.0,40.0, United-States,>50K -38, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -52, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,2547.0,40.0, United-States,>50K -55, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -30, Private, Some-college,10.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Private, Masters,14.0, Married-spouse-absent, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,37.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,47.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,2002.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Transport-moving, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -24, Self-emp-inc, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -61, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,65.0, United-States,>50K -28, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Bachelors,13.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,60.0, United-States,<=50K -85, Self-emp-inc, Bachelors,13.0, Widowed, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -71, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,20051.0,0.0,30.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -77, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,5178.0,0.0,55.0, United-States,>50K -34, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, India,<=50K -36, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,3325.0,0.0,40.0, United-States,<=50K -36, Private, 11th,7.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2057.0,70.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,45.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -48, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7688.0,0.0,35.0, China,>50K -33, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -26, Private, 11th,7.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, 10th,6.0, Widowed, Craft-repair, Unmarried, Black, Female,0.0,2001.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -65, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386.0,0.0,35.0, United-States,>50K -67, State-gov, 10th,6.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,12.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,70.0, United-States,>50K -35, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Divorced, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -24, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -43, Private, Bachelors,13.0, Married-spouse-absent, Sales, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -64, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Own-child, Black, Male,4650.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Other-relative, White, Female,0.0,0.0,40.0, Greece,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, Puerto-Rico,>50K -59, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,4865.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, Peru,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -41, Federal-gov, Masters,14.0, Never-married, Tech-support, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -26, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -59, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,>50K -32, Local-gov, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, Other, Male,0.0,0.0,35.0, United-States,<=50K -53, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,7.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -72, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,36.0, United-States,<=50K -45, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -34, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -33, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -65, State-gov, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,2653.0,0.0,8.0, United-States,<=50K -19, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -46, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,77.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,2202.0,0.0,99.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -36, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Germany,<=50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,27.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1628.0,40.0, United-States,<=50K -34, Private, 11th,7.0, Divorced, Sales, Own-child, Black, Female,0.0,0.0,37.0, United-States,<=50K -72, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,36.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, 5th-6th,3.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,10.0, Yugoslavia,>50K -57, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Local-gov, Some-college,10.0, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0.0,0.0,20.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -51, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -24, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,53.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Masters,14.0, Never-married, Craft-repair, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Masters,14.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -40, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -41, Federal-gov, Masters,14.0, Never-married, Prof-specialty, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -51, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Masters,14.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -55, Private, Masters,14.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, 10th,6.0, Divorced, Protective-serv, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -70, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,24.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -46, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -63, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -21, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,30.0, United-States,<=50K -43, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -35, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,29.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, Haiti,<=50K -73, Local-gov, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,5.0, United-States,<=50K -33, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,34.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,47.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -24, Self-emp-inc, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -36, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -57, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,1876.0,38.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -39, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -24, Private, Preschool,1.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -29, State-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,4787.0,0.0,40.0, United-States,>50K -26, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,5013.0,0.0,50.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -59, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,50.0, United-States,>50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Male,6849.0,0.0,80.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,4865.0,0.0,35.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1848.0,40.0, England,>50K -60, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Bachelors,13.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -47, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -29, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-inc, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -38, Private, 11th,7.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -38, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -52, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, Mexico,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,594.0,0.0,30.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -68, Self-emp-inc, Bachelors,13.0, Separated, Sales, Unmarried, White, Male,0.0,0.0,70.0, Canada,<=50K -18, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -27, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,1719.0,16.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,50.0, United-States,>50K -41, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -74, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0.0,1669.0,40.0, United-States,<=50K -53, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -30, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -48, Private, Some-college,10.0, Separated, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, State-gov, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,39.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,18.0, United-States,<=50K -46, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -33, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -27, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-inc, HS-grad,9.0, Never-married, Sales, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Local-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,20.0, India,<=50K -40, Self-emp-not-inc, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,37.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -61, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -27, State-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,50.0, South,<=50K -41, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Federal-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -44, Self-emp-inc, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, Portugal,>50K -37, State-gov, Some-college,10.0, Divorced, Adm-clerical, Own-child, Other, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,2339.0,43.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -39, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,3103.0,0.0,60.0, United-States,>50K -51, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,52.0, United-States,>50K -38, Federal-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -44, Private, Some-college,10.0, Widowed, Tech-support, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,55.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, State-gov, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -44, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -52, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Assoc-acdm,12.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -41, Private, 9th,5.0, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,84.0, United-States,<=50K -42, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Federal-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,35.0, United-States,>50K -31, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -30, Private, 12th,8.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -29, Private, Some-college,10.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -33, Self-emp-not-inc, 11th,7.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -72, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Scotland,<=50K -21, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, Germany,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Other, Male,0.0,0.0,25.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, Philippines,>50K -37, Federal-gov, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -37, Self-emp-inc, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,7298.0,0.0,32.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,24.0, Puerto-Rico,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,28.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -53, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,85.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,60.0, United-States,>50K -64, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,48.0, United-States,<=50K -32, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -26, Federal-gov, 12th,8.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, Haiti,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Dominican-Republic,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Local-gov, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -58, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,8.0, United-States,<=50K -42, Private, Bachelors,13.0, Divorced, Other-service, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -62, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -78, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, Masters,14.0, Separated, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, Iran,<=50K -38, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,2339.0,47.0, United-States,<=50K -77, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, Black, Male,3818.0,0.0,30.0, United-States,<=50K -62, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Local-gov, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -65, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -32, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -70, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,9386.0,0.0,4.0, United-States,>50K -38, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,14084.0,0.0,20.0, United-States,>50K -54, Self-emp-not-inc, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -32, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Other-service, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, HS-grad,9.0, Divorced, Protective-serv, Other-relative, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,6.0, United-States,<=50K -28, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,99.0, United-States,>50K -23, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,55.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -57, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -50, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -24, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Local-gov, Bachelors,13.0, Separated, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, Jamaica,>50K -50, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -58, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -60, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,8.0, United-States,<=50K -61, Private, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Thailand,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -37, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, White, Female,0.0,0.0,42.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -31, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Other-relative, White, Male,0.0,0.0,35.0, Mexico,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -44, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -57, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Female,2202.0,0.0,44.0, United-States,<=50K -24, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -32, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -48, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -63, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,23.0, United-States,>50K -17, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,5.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Assoc-acdm,12.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,52.0, United-States,<=50K -39, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0.0,0.0,35.0, United-States,>50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -59, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,8.0, United-States,>50K -32, Self-emp-not-inc, Some-college,10.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Divorced, Priv-house-serv, Not-in-family, Black, Female,0.0,0.0,20.0, United-States,<=50K -21, Self-emp-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -57, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,2176.0,0.0,35.0, Germany,<=50K -38, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, United-States,>50K -38, State-gov, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,30.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,37.0, United-States,<=50K -51, Private, 11th,7.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,5455.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Divorced, Other-service, Own-child, White, Female,3418.0,0.0,32.0, United-States,<=50K -38, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -53, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Married-spouse-absent, Transport-moving, Other-relative, White, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -37, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Assoc-acdm,12.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -27, Private, 11th,7.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -69, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Machine-op-inspct, Other-relative, Black, Male,0.0,0.0,30.0, United-States,<=50K -30, State-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, Black, Male,0.0,0.0,45.0, United-States,<=50K -71, Private, Assoc-voc,11.0, Widowed, Prof-specialty, Unmarried, White, Female,11678.0,0.0,38.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -25, Self-emp-not-inc, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298.0,0.0,45.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, 12th,8.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, 7th-8th,4.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -20, Self-emp-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -67, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,21.0, United-States,<=50K -55, Self-emp-not-inc, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, Hungary,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -37, State-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -32, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -31, Private, 1st-4th,2.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,35.0, Mexico,<=50K -47, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,13550.0,0.0,45.0, United-States,>50K -25, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,6849.0,0.0,43.0, United-States,<=50K -28, Private, 10th,6.0, Married-AF-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -51, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -61, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -46, State-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Federal-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, Germany,<=50K -24, Private, 11th,7.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -33, Self-emp-not-inc, Bachelors,13.0, Separated, Prof-specialty, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -60, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -48, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -53, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Tech-support, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -63, Federal-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -71, Private, Some-college,10.0, Widowed, Prof-specialty, Not-in-family, White, Male,0.0,1429.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -23, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,4.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, 10th,6.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,75.0, United-States,<=50K -29, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -59, Private, Bachelors,13.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -27, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Craft-repair, Other-relative, White, Male,3325.0,0.0,40.0, United-States,<=50K -42, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -37, Private, 11th,7.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -29, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, Poland,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, Mexico,<=50K -20, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, Cuba,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, Canada,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, Some-college,10.0, Widowed, Craft-repair, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,2001.0,40.0, Mexico,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,55.0, United-States,<=50K -47, Private, 11th,7.0, Divorced, Transport-moving, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,3325.0,0.0,25.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -48, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1485.0,50.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,2.0, Italy,<=50K -25, Private, Some-college,10.0, Separated, Adm-clerical, Other-relative, Other, Female,0.0,0.0,40.0, Ecuador,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -61, State-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -46, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,44.0, United-States,>50K -37, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -27, State-gov, Some-college,10.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -70, Private, 10th,6.0, Widowed, Transport-moving, Unmarried, White, Female,0.0,0.0,40.0, Greece,<=50K -45, Federal-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -23, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 5th-6th,3.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,35.0, Mexico,<=50K -33, Private, Some-college,10.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -24, Private, 12th,8.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -43, Private, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1902.0,42.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,37.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, 11th,7.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,10520.0,0.0,60.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -62, Self-emp-not-inc, Doctorate,16.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -46, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,65.0, United-States,>50K -44, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -28, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -38, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -59, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,1980.0,55.0, United-States,<=50K -59, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -55, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,1504.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,14344.0,0.0,40.0, United-States,>50K -22, State-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Canada,<=50K -45, State-gov, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -48, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,18.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -65, Self-emp-not-inc, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,45.0, India,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -65, Self-emp-not-inc, Masters,14.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,7978.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Other, Female,0.0,0.0,44.0, Puerto-Rico,<=50K -53, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -33, Federal-gov, 10th,6.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Poland,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Assoc-voc,11.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,13.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -54, Private, 9th,5.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,24.0, United-States,<=50K -45, Private, 7th-8th,4.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -48, Private, Bachelors,13.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,65.0, United-States,>50K -40, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -29, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -65, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Doctorate,16.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,29.0, United-States,<=50K -56, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,48.0, United-States,>50K -26, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Columbia,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Without-pay, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -24, Private, Masters,14.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,>50K -26, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -59, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, 7th-8th,4.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -29, Private, 9th,5.0, Never-married, Priv-house-serv, Unmarried, White, Female,0.0,0.0,24.0, El-Salvador,<=50K -35, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -27, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, Mexico,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -51, State-gov, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -41, Federal-gov, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -34, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -25, Local-gov, Bachelors,13.0, Divorced, Protective-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -80, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -27, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,52.0, Mexico,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -43, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3103.0,0.0,32.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,26.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -42, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -50, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, Black, Male,0.0,0.0,14.0, United-States,<=50K -55, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,1617.0,35.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,1741.0,40.0, United-States,<=50K -59, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,56.0, United-States,<=50K -36, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,2174.0,0.0,40.0, United-States,<=50K -51, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, Germany,>50K -31, Private, 11th,7.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -39, Federal-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,2051.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,30.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -53, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,5.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,20.0, United-States,<=50K -34, Local-gov, 10th,6.0, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,30.0, United-States,<=50K -53, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,1980.0,80.0, United-States,<=50K -33, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,8.0, United-States,<=50K -34, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,32.0, United-States,>50K -61, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -59, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Other-relative, Black, Female,0.0,0.0,35.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,4101.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, 7th-8th,4.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, Mexico,<=50K -48, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -36, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,15024.0,0.0,75.0, United-States,>50K -49, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -65, Local-gov, HS-grad,9.0, Widowed, Tech-support, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -56, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -70, Private, 10th,6.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0.0,0.0,40.0, United-States,>50K -43, Federal-gov, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,6.0, United-States,<=50K -77, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -59, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013.0,0.0,45.0, United-States,<=50K -33, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,323.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Priv-house-serv, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,25.0, United-States,>50K -42, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3137.0,0.0,45.0, United-States,<=50K -33, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -52, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Male,0.0,0.0,19.0, United-States,<=50K -44, Private, 12th,8.0, Divorced, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, South,<=50K -25, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -33, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,98.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,52.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,37.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -54, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 9th,5.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -63, Private, Bachelors,13.0, Widowed, Other-service, Other-relative, Black, Female,0.0,0.0,20.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,8614.0,0.0,45.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Self-emp-inc, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,2205.0,45.0, United-States,<=50K -61, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -73, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Separated, Sales, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, Mexico,<=50K -53, State-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -42, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -26, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137.0,0.0,50.0, United-States,<=50K -33, Private, 12th,8.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,40.0, Mexico,<=50K -33, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Transport-moving, Own-child, White, Male,0.0,1602.0,15.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -45, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Federal-gov, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, India,>50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -31, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,55.0, United-States,>50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -41, Private, 5th-6th,3.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, Mexico,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1573.0,25.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,18.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,45.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Local-gov, HS-grad,9.0, Divorced, Transport-moving, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -66, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688.0,0.0,55.0, United-States,>50K -35, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -46, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,42.0, United-States,>50K -21, Self-emp-inc, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -66, Local-gov, Some-college,10.0, Widowed, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -57, Private, Assoc-voc,11.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0.0,0.0,47.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -24, Private, 1st-4th,2.0, Never-married, Farming-fishing, Own-child, White, Female,0.0,0.0,40.0, Mexico,<=50K -36, Private, HS-grad,9.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Guatemala,<=50K -32, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Some-college,10.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, 12th,8.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -50, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,65.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -62, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -52, Federal-gov, Assoc-acdm,12.0, Widowed, Exec-managerial, Unmarried, White, Male,13550.0,0.0,40.0, United-States,>50K -48, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2415.0,60.0, United-States,>50K -70, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,3175.0,15.0, United-States,<=50K -41, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -54, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -73, Self-emp-not-inc, HS-grad,9.0, Widowed, Farming-fishing, Not-in-family, White, Male,0.0,1668.0,77.0, United-States,<=50K -29, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,35.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,10.0, United-States,<=50K -57, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -39, Private, 1st-4th,2.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,70.0, Mexico,<=50K -25, State-gov, Some-college,10.0, Divorced, Other-service, Unmarried, White, Male,0.0,2472.0,40.0, United-States,>50K -74, Without-pay, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, 9th,5.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Local-gov, Some-college,10.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -50, Private, 11th,7.0, Never-married, Priv-house-serv, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Nicaragua,>50K -21, Private, 10th,6.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -42, Private, Masters,14.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -37, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -53, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,99999.0,0.0,75.0, United-States,>50K -34, Private, 10th,6.0, Married-spouse-absent, Other-service, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Masters,14.0, Widowed, Exec-managerial, Own-child, White, Male,0.0,0.0,62.0, United-States,>50K -29, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,2202.0,0.0,45.0, United-States,<=50K -70, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -26, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -29, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, United-States,>50K -22, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Local-gov, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -58, Private, HS-grad,9.0, Never-married, Sales, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,96.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Other, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Local-gov, 11th,7.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,32.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, 7th-8th,4.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,1669.0,40.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3908.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, Black, Male,3325.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,37.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, HS-grad,9.0, Separated, Priv-house-serv, Not-in-family, Black, Female,0.0,0.0,50.0, Nicaragua,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,8.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,38.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -27, Private, 12th,8.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -45, State-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -43, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -63, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -26, Self-emp-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -42, State-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -69, Private, 10th,6.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,70.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,18.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -57, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, HS-grad,9.0, Separated, Priv-house-serv, Own-child, White, Female,0.0,0.0,40.0, Guatemala,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, State-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,16.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Bachelors,13.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,15.0, Columbia,<=50K -32, Private, Bachelors,13.0, Never-married, Tech-support, Other-relative, White, Female,0.0,0.0,72.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-inc, Prof-school,15.0, Widowed, Prof-specialty, Unmarried, White, Male,99999.0,0.0,50.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, White, Male,10520.0,0.0,40.0, United-States,>50K -17, Local-gov, 11th,7.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -61, Federal-gov, Masters,14.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -56, Private, HS-grad,9.0, Widowed, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, White, Male,0.0,0.0,51.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,42.0, United-States,<=50K -41, Private, Some-college,10.0, Separated, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,65.0, United-States,<=50K -19, Private, 10th,6.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Other, Female,0.0,0.0,35.0, El-Salvador,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,30.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,34.0, United-States,>50K -59, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -47, Private, Doctorate,16.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,23.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,52.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,15024.0,0.0,24.0, United-States,>50K -40, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,65.0, United-States,>50K -39, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, Haiti,>50K -24, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -32, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Trinadad&Tobago,<=50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,2057.0,35.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,1504.0,40.0, United-States,<=50K -48, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -46, Federal-gov, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -42, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -31, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -60, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,70.0, United-States,>50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Some-college,10.0, Separated, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -57, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0.0,1579.0,37.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,38.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, Scotland,<=50K -59, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, Some-college,10.0, Married-spouse-absent, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Tech-support, Own-child, Black, Female,0.0,0.0,4.0, United-States,<=50K -30, Private, HS-grad,9.0, Separated, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -68, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -59, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 7th-8th,4.0, Married-spouse-absent, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, Mexico,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, Some-college,10.0, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,90.0, United-States,>50K -30, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,20.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, Black, Female,0.0,1741.0,40.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,1902.0,50.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -42, Self-emp-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Private, 10th,6.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -22, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,4.0, United-States,<=50K -46, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Self-emp-not-inc, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -58, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,47.0, United-States,>50K -55, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -46, Private, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,42.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -40, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1579.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,1590.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -24, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -63, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0.0,0.0,40.0, India,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -52, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688.0,0.0,72.0, United-States,>50K -60, Local-gov, 10th,6.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -35, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,2174.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -54, Private, 5th-6th,3.0, Divorced, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, Nicaragua,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2829.0,0.0,78.0, United-States,<=50K -22, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -45, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, China,<=50K -28, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,23.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,35.0, Guatemala,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -54, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -24, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,36.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Unmarried, White, Female,3325.0,0.0,40.0, United-States,<=50K -46, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Local-gov, Assoc-voc,11.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -64, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,2174.0,0.0,37.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -57, Private, Assoc-voc,11.0, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -61, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -74, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,7262.0,0.0,30.0, United-States,>50K -22, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -25, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Self-emp-not-inc, Masters,14.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -38, Self-emp-inc, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -35, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,84.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1848.0,48.0, United-States,>50K -37, Federal-gov, Some-college,10.0, Never-married, Exec-managerial, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,66.0, United-States,>50K -40, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, Columbia,<=50K -29, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,8.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -26, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Local-gov, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -56, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,4787.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,46.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,55.0, United-States,<=50K -54, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -33, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -44, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,57.0, United-States,<=50K -47, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -90, Self-emp-not-inc, Prof-school,15.0, Widowed, Prof-specialty, Not-in-family, White, Male,1086.0,0.0,60.0, United-States,<=50K -26, Self-emp-not-inc, 5th-6th,3.0, Never-married, Prof-specialty, Unmarried, White, Male,0.0,0.0,14.0, Mexico,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Thailand,<=50K -33, Private, Assoc-acdm,12.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,60.0, Scotland,<=50K -28, Private, Some-college,10.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,18.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -70, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,6514.0,0.0,40.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -65, Local-gov, 9th,5.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,36.0, Poland,<=50K -63, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -34, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -48, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -22, Private, Masters,14.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,21.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,2174.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -63, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -41, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -66, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 11th,7.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,42.0, United-States,>50K -44, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -70, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,22.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -72, Private, Some-college,10.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -56, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Japan,<=50K -34, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -56, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -53, State-gov, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Portugal,>50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,2444.0,50.0, United-States,>50K -44, Self-emp-not-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,27828.0,0.0,60.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, Black, Male,0.0,1719.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, 12th,8.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -26, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -38, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, State-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -61, Local-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -49, Private, 11th,7.0, Separated, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -59, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, Guatemala,<=50K -49, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1485.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,1590.0,40.0, United-States,<=50K -45, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -54, Local-gov, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,80.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -55, Private, 11th,7.0, Married-spouse-absent, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,41310.0,0.0,90.0, South,<=50K -38, Private, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -57, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,8.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -34, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -38, Local-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,3103.0,0.0,50.0, United-States,>50K -42, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -52, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -74, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Self-emp-not-inc, 12th,8.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,2179.0,60.0, United-States,<=50K -22, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,25.0, United-States,<=50K -30, Private, 11th,7.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -39, Private, 12th,8.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -37, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,44.0, Japan,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Private, 10th,6.0, Widowed, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,2907.0,0.0,30.0, United-States,<=50K -27, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4508.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -39, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, United-States,<=50K -18, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,36.0, United-States,<=50K -28, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Masters,14.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0.0,2415.0,50.0, United-States,>50K -72, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -76, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -23, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Male,15020.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -64, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -53, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -38, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, England,<=50K -42, Private, Some-college,10.0, Widowed, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -23, Local-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -81, Private, 12th,8.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,21.0, United-States,<=50K -19, Private, 9th,5.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Private, 9th,5.0, Married-spouse-absent, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -24, Private, 9th,5.0, Never-married, Transport-moving, Unmarried, Other, Male,0.0,0.0,40.0, El-Salvador,<=50K -37, Private, Some-college,10.0, Separated, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -26, State-gov, Assoc-voc,11.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -38, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-inc, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Male,0.0,0.0,86.0, United-States,>50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Divorced, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,26.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Female,14344.0,0.0,40.0, United-States,>50K -64, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,6418.0,0.0,65.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -31, Federal-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -61, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Separated, Exec-managerial, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, 10th,6.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,44.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Divorced, Transport-moving, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -26, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,35.0, Outlying-US(Guam-USVI-etc),<=50K -20, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -39, Private, Masters,14.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -48, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,1974.0,30.0, United-States,<=50K -37, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,1564.0,55.0, United-States,>50K -44, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1902.0,80.0, United-States,>50K -51, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,1628.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,2829.0,0.0,38.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -34, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -63, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, 12th,8.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,37.0, Mexico,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,18.0, United-States,<=50K -30, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -53, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,1590.0,50.0, United-States,<=50K -77, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -50, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,3456.0,0.0,44.0, Canada,<=50K -77, State-gov, Doctorate,16.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0.0,0.0,4.0, United-States,>50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -26, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Separated, Transport-moving, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, State-gov, Some-college,10.0, Never-married, Exec-managerial, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,36.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -31, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0.0,0.0,15.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,35.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,30.0, Japan,<=50K -40, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -45, State-gov, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1848.0,50.0, United-States,>50K -43, Local-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -44, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Local-gov, Some-college,10.0, Married-spouse-absent, Prof-specialty, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,4101.0,0.0,60.0, United-States,<=50K -18, Self-emp-not-inc, 10th,6.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, England,<=50K -24, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Divorced, Transport-moving, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,65.0, United-States,>50K -64, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Male,7430.0,0.0,45.0, United-States,>50K -60, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,36.0, Peru,<=50K -26, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,49.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, Mexico,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -42, Federal-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -23, Self-emp-inc, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -46, Private, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -53, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -77, Local-gov, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,8.0, Canada,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -64, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 9th,5.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1485.0,55.0, United-States,>50K -42, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, 11th,7.0, Divorced, Handlers-cleaners, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -54, Self-emp-not-inc, Bachelors,13.0, Widowed, Sales, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -27, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,10605.0,0.0,44.0, United-States,>50K -65, Private, 11th,7.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,24.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,48.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -32, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -49, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,43.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,11.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -58, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -34, Private, 12th,8.0, Divorced, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -48, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -26, Private, 11th,7.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -36, Local-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1740.0,56.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -62, Private, 10th,6.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -46, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,43.0, United-States,<=50K -51, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,38.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,22.0, United-States,<=50K -46, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Male,0.0,0.0,59.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,60.0, Italy,>50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -31, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -63, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -34, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, Haiti,<=50K -27, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -63, Self-emp-not-inc, HS-grad,9.0, Widowed, Farming-fishing, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Iran,<=50K -63, Private, HS-grad,9.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Married-spouse-absent, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Self-emp-inc, 12th,8.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,37.0, United-States,<=50K -66, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3818.0,0.0,40.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -49, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,10.0, United-States,<=50K -46, Federal-gov, 11th,7.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,16.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0.0,2339.0,40.0, Philippines,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,14.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-inc, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,65.0, United-States,<=50K -35, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, State-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -61, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -50, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -54, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Machine-op-inspct, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -48, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -34, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-inc, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,99999.0,0.0,45.0, United-States,>50K -33, Private, Assoc-voc,11.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -55, Private, HS-grad,9.0, Widowed, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-inc, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,15024.0,0.0,40.0, United-States,>50K -23, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,2907.0,0.0,35.0, United-States,<=50K -30, Private, 1st-4th,2.0, Separated, Priv-house-serv, Other-relative, White, Female,0.0,0.0,30.0, Mexico,<=50K -50, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Federal-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -64, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -43, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, Canada,>50K -25, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,2174.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -54, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -25, Private, 1st-4th,2.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -29, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2129.0,50.0, United-States,<=50K -49, Federal-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -51, State-gov, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -50, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -43, Private, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, White, Female,15020.0,0.0,35.0, United-States,>50K -60, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386.0,0.0,84.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,36.0, Philippines,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -43, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,5.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,4650.0,0.0,45.0, United-States,<=50K -33, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -31, State-gov, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0.0,1902.0,40.0, China,<=50K -51, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,80.0, United-States,<=50K -50, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -30, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,18.0, United-States,<=50K -43, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,2001.0,25.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,10.0, Germany,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -52, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Cuba,<=50K -64, Self-emp-inc, Some-college,10.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,70.0, United-States,<=50K -31, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,99.0, United-States,>50K -56, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -41, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,20.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Self-emp-not-inc, 9th,5.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,27.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Italy,>50K -49, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,15024.0,0.0,50.0, England,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,70.0, United-States,<=50K -45, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -67, Local-gov, 7th-8th,4.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -57, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -68, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -58, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -50, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -20, Private, 11th,7.0, Never-married, Farming-fishing, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -63, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -32, Private, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, State-gov, Assoc-voc,11.0, Divorced, Protective-serv, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -63, Self-emp-not-inc, 10th,6.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Guatemala,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -56, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,43.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,2174.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-spouse-absent, Other-service, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -64, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -32, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,30.0, United-States,>50K -55, Federal-gov, 7th-8th,4.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -51, Self-emp-not-inc, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,8.0, United-States,>50K -62, Local-gov, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -54, Local-gov, Some-college,10.0, Divorced, Exec-managerial, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,48.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -67, Self-emp-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -43, Self-emp-not-inc, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -57, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Divorced, Priv-house-serv, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Tech-support, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,5.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, Mexico,>50K -34, Private, HS-grad,9.0, Never-married, Tech-support, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 10th,6.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,50.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,30.0, United-States,<=50K -60, Federal-gov, 9th,5.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, 12th,8.0, Married-civ-spouse, Sales, Own-child, Other, Male,0.0,0.0,35.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Self-emp-not-inc, HS-grad,9.0, Separated, Craft-repair, Own-child, Black, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Dominican-Republic,>50K -38, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,70.0, United-States,>50K -24, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Married-spouse-absent, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Local-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,10566.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -34, State-gov, Some-college,10.0, Divorced, Protective-serv, Unmarried, Black, Male,0.0,0.0,47.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, Some-college,10.0, Separated, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -45, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,35.0, South,<=50K -23, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -62, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -34, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,53.0, United-States,>50K -36, Private, 10th,6.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,7688.0,0.0,60.0, United-States,>50K -36, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Protective-serv, Other-relative, White, Male,0.0,0.0,42.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, Other, Male,0.0,0.0,60.0, Ecuador,<=50K -28, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Other-relative, Black, Female,0.0,0.0,35.0, Puerto-Rico,<=50K -29, Private, 11th,7.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, 9th,5.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,32.0, United-States,<=50K -46, Private, 11th,7.0, Widowed, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 7th-8th,4.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, Black, Female,0.0,0.0,43.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, Ecuador,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -46, Local-gov, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,48.0, Mexico,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -61, Self-emp-not-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,2444.0,50.0, United-States,>50K -50, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -66, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -50, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -41, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -38, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -58, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -41, Federal-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -43, Local-gov, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -39, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1669.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -52, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -48, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -55, Federal-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -57, Private, 7th-8th,4.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,1408.0,40.0, France,<=50K -47, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,18.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, Bachelors,13.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -66, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, Black, Male,1797.0,0.0,20.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -76, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -52, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, Japan,<=50K -43, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,35.0, United-States,<=50K -33, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,15.0, Mexico,<=50K -59, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -45, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,43.0, United-States,>50K -38, Private, Some-college,10.0, Separated, Tech-support, Unmarried, Black, Female,0.0,0.0,50.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,36.0, United-States,<=50K -48, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -31, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,28.0, Mexico,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, 1st-4th,2.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,66.0, Mexico,<=50K -60, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,50.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Scotland,<=50K -24, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,5178.0,0.0,50.0, United-States,>50K -32, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Japan,<=50K -57, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -24, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -34, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -72, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,14.0, United-States,<=50K -61, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,80.0, Columbia,>50K -58, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,30.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -72, Private, 9th,5.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -23, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -49, Private, Assoc-acdm,12.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,40.0, Germany,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -71, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -63, Local-gov, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,55.0, United-States,<=50K -49, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -65, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Tech-support, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Farming-fishing, Unmarried, Black, Female,0.0,0.0,39.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Taiwan,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 11th,7.0, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -43, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -26, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -47, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -37, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -39, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -45, Federal-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,10.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -74, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,6.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, 12th,8.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,36.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, 12th,8.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -32, Local-gov, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Divorced, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -51, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,2002.0,66.0, United-States,<=50K -45, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -76, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -46, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -30, State-gov, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,12.0, United-States,>50K -68, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1735.0,48.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -71, Private, HS-grad,9.0, Widowed, Priv-house-serv, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Local-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -76, Private, Some-college,10.0, Widowed, Sales, Not-in-family, Asian-Pac-Islander, Female,2062.0,0.0,37.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,5.0, Canada,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,15.0, United-States,<=50K -18, Self-emp-not-inc, 11th,7.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -23, Private, 10th,6.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -53, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,1902.0,40.0, United-States,>50K -49, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -58, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,4787.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, 10th,6.0, Never-married, Other-service, Other-relative, White, Female,34095.0,0.0,24.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,1902.0,40.0, Puerto-Rico,>50K -44, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -57, Private, HS-grad,9.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, 9th,5.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1564.0,45.0, United-States,>50K -37, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Self-emp-not-inc, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -40, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -48, Private, Masters,14.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,2354.0,0.0,40.0, United-States,<=50K -37, Private, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -38, State-gov, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,32.0, Mexico,<=50K -62, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, Columbia,<=50K -35, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -44, State-gov, Bachelors,13.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,50.0, United-States,<=50K -26, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -44, Self-emp-not-inc, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,58.0, United-States,<=50K -50, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -37, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -26, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Wife, White, Female,4508.0,0.0,12.0, United-States,<=50K -64, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Preschool,1.0, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -33, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -26, State-gov, HS-grad,9.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -77, Self-emp-not-inc, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -25, Federal-gov, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,9.0, United-States,<=50K -53, Private, 12th,8.0, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, 11th,7.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -30, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,47.0, United-States,>50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -51, Self-emp-not-inc, Doctorate,16.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -49, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,85.0, United-States,>50K -51, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,1876.0,48.0, United-States,<=50K -36, Private, 9th,5.0, Never-married, Farming-fishing, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -62, Private, 1st-4th,2.0, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0.0,0.0,30.0, United-States,<=50K -40, Self-emp-not-inc, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,2205.0,45.0, United-States,<=50K -30, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, Bachelors,13.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, Guatemala,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -46, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,32.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, 10th,6.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -59, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, 11th,7.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -50, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,2339.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,2202.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,4508.0,0.0,55.0, United-States,<=50K -29, Private, HS-grad,9.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -32, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -19, State-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,18.0, United-States,<=50K -37, State-gov, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -43, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -28, Private, 11th,7.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,3325.0,0.0,45.0, United-States,<=50K -49, Local-gov, 11th,7.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,60.0, United-States,<=50K -38, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 10th,6.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -34, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,35.0, United-States,>50K -32, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, State-gov, Bachelors,13.0, Widowed, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -61, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Some-college,10.0, Never-married, Tech-support, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, Some-college,10.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -51, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,53.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, Mexico,<=50K -23, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,15.0, Germany,<=50K -24, Private, HS-grad,9.0, Never-married, Tech-support, Unmarried, White, Female,1831.0,0.0,40.0, United-States,<=50K -57, Private, 10th,6.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -59, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -39, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,23.0, United-States,<=50K -45, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -64, Local-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -55, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,4650.0,0.0,40.0, Vietnam,<=50K -28, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1669.0,40.0, United-States,<=50K -57, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Germany,<=50K -48, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,65.0, United-States,<=50K -30, Self-emp-not-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,2444.0,55.0, United-States,>50K -70, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, 9th,5.0, Divorced, Farming-fishing, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -34, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, 12th,8.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,70.0, Germany,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -51, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -58, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,1741.0,40.0, United-States,<=50K -28, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -43, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -40, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, Black, Female,0.0,0.0,56.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,29.0, United-States,<=50K -41, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -61, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -42, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,2339.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,56.0, United-States,<=50K -38, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, State-gov, Bachelors,13.0, Divorced, Adm-clerical, Other-relative, Black, Female,0.0,0.0,32.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -51, Private, Some-college,10.0, Divorced, Sales, Unmarried, Black, Female,0.0,0.0,50.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,80.0, United-States,>50K -41, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Cuba,<=50K -32, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, 10th,6.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -67, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,20051.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,50.0, United-States,<=50K -52, Private, 12th,8.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,10.0, India,<=50K -50, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,8.0, Guatemala,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -50, Private, 1st-4th,2.0, Married-spouse-absent, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -57, Private, 7th-8th,4.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,29.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Separated, Transport-moving, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -30, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -37, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Other-relative, White, Female,0.0,0.0,60.0, United-States,<=50K -59, Local-gov, Masters,14.0, Separated, Prof-specialty, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -18, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,43.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, Dominican-Republic,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,594.0,0.0,12.0, United-States,<=50K -55, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -47, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Other-relative, White, Male,3908.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -46, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Preschool,1.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,38.0, Mexico,<=50K -43, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Federal-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -67, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,6723.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -29, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,0.0,38.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, 7th-8th,4.0, Divorced, Sales, Not-in-family, Other, Female,0.0,0.0,35.0, United-States,<=50K -21, Self-emp-inc, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,16.0, United-States,<=50K -52, Private, Assoc-acdm,12.0, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -47, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,48.0, United-States,>50K -37, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Male,8614.0,0.0,40.0, Mexico,>50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Federal-gov, Some-college,10.0, Never-married, Tech-support, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -89, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,37.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,42.0, United-States,<=50K -52, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2415.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,65.0, United-States,>50K -57, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Sales, Own-child, Other, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -74, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Male,0.0,2282.0,35.0, United-States,>50K -56, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, Ireland,<=50K -33, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -31, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -26, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Local-gov, 10th,6.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, Puerto-Rico,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Sales, Not-in-family, Black, Male,0.0,0.0,60.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, State-gov, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Ecuador,<=50K -52, Self-emp-not-inc, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, Black, Female,0.0,0.0,35.0, Haiti,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Some-college,10.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -49, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,36.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,7688.0,0.0,50.0, United-States,>50K -57, Federal-gov, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -41, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999.0,0.0,50.0, India,>50K -45, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, Mexico,<=50K -62, Federal-gov, 9th,5.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Self-emp-inc, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,6.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Self-emp-not-inc, HS-grad,9.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -53, Local-gov, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,36.0, China,<=50K -39, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -55, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,25.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -39, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -23, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -28, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -29, Private, Bachelors,13.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -21, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0.0,0.0,35.0, United-States,<=50K -35, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,38.0, Puerto-Rico,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 9th,5.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -50, Private, Preschool,1.0, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0.0,0.0,40.0, Haiti,<=50K -37, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -20, Private, 9th,5.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, Germany,<=50K -30, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -35, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -30, State-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,50.0, United-States,<=50K -56, Private, 9th,5.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 9th,5.0, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -64, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Cuba,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Other-relative, White, Female,0.0,0.0,33.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -23, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,39.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,1980.0,38.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, 12th,8.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -31, Self-emp-not-inc, 10th,6.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,2205.0,60.0, United-States,<=50K -21, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,38.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -62, Self-emp-not-inc, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,7298.0,0.0,48.0, United-States,>50K -26, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,5060.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, 1st-4th,2.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,39.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,42.0, United-States,>50K -60, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999.0,0.0,60.0, Philippines,>50K -74, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,6418.0,0.0,24.0, United-States,>50K -37, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, 10th,6.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,36.0, United-States,<=50K -43, Local-gov, Masters,14.0, Widowed, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,65.0, Canada,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -36, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,34.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,75.0, United-States,<=50K -29, State-gov, Bachelors,13.0, Never-married, Protective-serv, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Female,3325.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, Black, Female,0.0,0.0,20.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -55, State-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -61, Self-emp-not-inc, Assoc-voc,11.0, Widowed, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, Canada,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,10.0, El-Salvador,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,51.0, United-States,<=50K -67, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -34, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -37, Self-emp-inc, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, Canada,<=50K -35, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,2176.0,0.0,25.0, United-States,<=50K -33, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Divorced, Machine-op-inspct, Own-child, Other, Male,0.0,0.0,40.0, Mexico,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -52, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, Cuba,>50K -36, Private, 10th,6.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -27, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,42.0, Mexico,<=50K -19, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, Germany,<=50K -66, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -74, State-gov, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, Black, Male,15831.0,0.0,40.0, United-States,>50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, India,>50K -44, Private, Masters,14.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,2559.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,1876.0,65.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,45.0, United-States,<=50K -42, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,15.0, United-States,>50K -35, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -26, State-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,80.0, United-States,<=50K -39, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -64, Private, Prof-school,15.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,2444.0,40.0, United-States,>50K -49, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1672.0,45.0, Ireland,<=50K -26, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -44, Private, 5th-6th,3.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Self-emp-inc, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, Black, Male,15020.0,0.0,50.0, United-States,>50K -54, Private, Some-college,10.0, Widowed, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -64, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -40, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -49, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -27, Private, 12th,8.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Private, Some-college,10.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Separated, Transport-moving, Unmarried, Black, Male,1506.0,0.0,80.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,2174.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Other-relative, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,22.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0.0,1485.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Columbia,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, Black, Female,0.0,0.0,35.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -39, Private, Doctorate,16.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,2559.0,60.0, England,>50K -65, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -61, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,63.0, United-States,>50K -20, Private, 12th,8.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, Mexico,<=50K -37, Local-gov, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,2977.0,0.0,55.0, United-States,<=50K -39, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -54, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,20.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -55, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Separated, Tech-support, Not-in-family, White, Female,0.0,0.0,3.0, United-States,<=50K -27, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,55.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -53, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -67, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,1504.0,40.0, United-States,<=50K -22, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Widowed, Adm-clerical, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -42, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,20.0, Mexico,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,46.0, United-States,<=50K -54, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,10.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -67, Private, 9th,5.0, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0.0,0.0,6.0, United-States,<=50K -48, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -53, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,46.0, United-States,>50K -42, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,50.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -55, State-gov, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Male,10520.0,0.0,40.0, United-States,>50K -61, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, Portugal,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Separated, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -49, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1902.0,70.0, United-States,<=50K -49, Local-gov, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -34, Private, 10th,6.0, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,4.0, United-States,<=50K -46, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,41.0, United-States,<=50K -59, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -19, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Wife, White, Female,7298.0,0.0,40.0, United-States,>50K -28, Self-emp-not-inc, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -35, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -53, Self-emp-inc, Doctorate,16.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -29, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -45, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Masters,14.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -63, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Craft-repair, Own-child, White, Female,0.0,0.0,50.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -53, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -35, Federal-gov, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -35, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -38, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, State-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1902.0,40.0, United-States,>50K -43, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Wife, White, Female,0.0,0.0,60.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -33, Private, HS-grad,9.0, Separated, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -50, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -60, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,6849.0,0.0,50.0, United-States,<=50K -56, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, 10th,6.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,64.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,52.0, United-States,<=50K -48, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,48.0, United-States,>50K -27, State-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -18, Self-emp-not-inc, 12th,8.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -33, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -29, Private, 11th,7.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -39, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,50.0, United-States,>50K -35, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,48.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,80.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, State-gov, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,38.0, United-States,<=50K -61, State-gov, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Germany,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,43.0, United-States,<=50K -58, Private, 12th,8.0, Divorced, Transport-moving, Unmarried, Black, Male,0.0,0.0,45.0, United-States,>50K -48, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -28, State-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,1055.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -35, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -22, Self-emp-not-inc, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -69, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,43.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,4416.0,0.0,40.0, United-States,<=50K -52, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,20.0, China,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0.0,2339.0,40.0, India,<=50K -68, Private, 11th,7.0, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0.0,1870.0,35.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,73.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,1977.0,60.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -54, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -24, Private, 9th,5.0, Never-married, Craft-repair, Other-relative, Other, Male,0.0,0.0,58.0, Guatemala,<=50K -27, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Male,0.0,0.0,42.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,50.0, El-Salvador,<=50K -29, Private, 12th,8.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, China,<=50K -44, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,84.0, United-States,>50K -51, State-gov, Doctorate,16.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0.0,0.0,70.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, 11th,7.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,15.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -28, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3464.0,0.0,35.0, United-States,<=50K -40, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103.0,0.0,60.0, United-States,>50K -50, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -57, Self-emp-not-inc, 11th,7.0, Divorced, Other-service, Unmarried, White, Male,4650.0,0.0,50.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,27828.0,0.0,40.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -42, State-gov, Some-college,10.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -41, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,35.0, United-States,<=50K -23, Private, Some-college,10.0, Married-spouse-absent, Other-service, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -41, Self-emp-not-inc, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,75.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Sales, Other-relative, White, Female,0.0,0.0,46.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -67, Self-emp-not-inc, Some-college,10.0, Widowed, Other-service, Not-in-family, White, Female,2346.0,0.0,33.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -44, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Federal-gov, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,4.0, United-States,<=50K -60, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -31, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -74, Private, 12th,8.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,11.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 11th,7.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -71, Private, Assoc-voc,11.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -33, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,80.0, Mexico,<=50K -56, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -24, Self-emp-not-inc, 11th,7.0, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, India,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -52, Private, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, State-gov, Doctorate,16.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -68, Private, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Female,3273.0,0.0,42.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -69, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -24, Private, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, 9th,5.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -59, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -35, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -47, Private, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, State-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, Masters,14.0, Divorced, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,70.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,36.0, United-States,<=50K -59, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -38, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -56, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -55, Self-emp-not-inc, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -57, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, Mexico,<=50K -26, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1628.0,48.0, United-States,<=50K -24, Private, 7th-8th,4.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,24.0, Guatemala,<=50K -38, State-gov, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -49, Private, HS-grad,9.0, Divorced, Priv-house-serv, Unmarried, White, Female,0.0,0.0,16.0, Yugoslavia,<=50K -51, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -72, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,2329.0,0.0,20.0, United-States,<=50K -60, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -46, Private, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -62, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -71, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,1911.0,38.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,22.0, United-States,<=50K -51, Private, 10th,6.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -41, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -38, State-gov, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,10.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -42, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,4416.0,0.0,40.0, United-States,<=50K -43, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -30, Private, HS-grad,9.0, Separated, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -63, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -53, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,45.0, Columbia,>50K -60, Local-gov, Assoc-voc,11.0, Widowed, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3818.0,0.0,44.0, United-States,<=50K -59, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3411.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -64, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -48, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -46, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -55, Self-emp-inc, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,2444.0,60.0, United-States,>50K -44, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,1980.0,40.0, United-States,<=50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -27, Federal-gov, Assoc-voc,11.0, Never-married, Tech-support, Unmarried, Black, Male,1151.0,0.0,40.0, United-States,<=50K -52, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,99.0, United-States,>50K -32, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, Greece,>50K -63, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0.0,0.0,32.0, Mexico,<=50K -60, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -55, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -77, Self-emp-not-inc, 12th,8.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,12.0, United-States,<=50K -55, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -51, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,47.0, United-States,>50K -52, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -50, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,45.0, Canada,>50K -24, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Priv-house-serv, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -61, Local-gov, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -30, Federal-gov, Some-college,10.0, Married-civ-spouse, Armed-Forces, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,38.0, United-States,>50K -60, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Separated, Tech-support, Unmarried, White, Female,5455.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Separated, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1485.0,17.0, United-States,>50K -45, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,45.0, United-States,>50K -40, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -40, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,10520.0,0.0,20.0, United-States,>50K -31, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, 9th,5.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,46.0, United-States,<=50K -39, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,5013.0,0.0,56.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -45, Private, Masters,14.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -67, Private, 10th,6.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -28, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,46.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -23, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -39, Private, 11th,7.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,52.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -52, Local-gov, Some-college,10.0, Widowed, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, 11th,7.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,38.0, Puerto-Rico,<=50K -35, Private, 12th,8.0, Divorced, Protective-serv, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -75, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Self-emp-inc, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -29, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,3103.0,0.0,45.0, United-States,>50K -38, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,48.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -27, Self-emp-inc, 12th,8.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, State-gov, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -27, Private, 10th,6.0, Divorced, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -35, Self-emp-inc, Assoc-acdm,12.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -23, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,24.0, Cuba,<=50K -58, Private, HS-grad,9.0, Widowed, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -19, Self-emp-not-inc, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -29, Private, Some-college,10.0, Divorced, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -25, Federal-gov, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, Peru,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -23, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,12.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -34, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, Guatemala,<=50K -39, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,3418.0,0.0,38.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,38.0, Mexico,<=50K -29, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -31, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 5th-6th,3.0, Married-spouse-absent, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -30, State-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Local-gov, 10th,6.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -52, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -37, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,1721.0,20.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -37, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -40, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,48.0, United-States,>50K -60, Private, Some-college,10.0, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,2407.0,0.0,40.0, United-States,<=50K -39, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, Other, Male,0.0,0.0,40.0, Guatemala,<=50K -24, Private, 9th,5.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,1902.0,46.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Sales, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -25, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 12th,8.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -48, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, Masters,14.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, 11th,7.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Federal-gov, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Separated, Other-service, Own-child, White, Female,0.0,0.0,39.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,0.0,30.0, United-States,<=50K -41, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,99.0, United-States,>50K -42, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -27, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,60.0, United-States,<=50K -44, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -28, Private, Doctorate,16.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -56, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -27, Private, 11th,7.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -49, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, Canada,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -66, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7688.0,0.0,45.0, United-States,>50K -48, Private, Assoc-voc,11.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,41.0, United-States,<=50K -49, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,9562.0,0.0,32.0, United-States,>50K -50, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -47, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,42.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,99.0, United-States,<=50K -39, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, England,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -42, Local-gov, Masters,14.0, Married-civ-spouse, Protective-serv, Husband, White, Male,7688.0,0.0,35.0, United-States,>50K -28, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,40.0, Cambodia,<=50K -71, Private, HS-grad,9.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Federal-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -64, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2105.0,0.0,40.0, United-States,<=50K -44, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -72, Private, Some-college,10.0, Widowed, Adm-clerical, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -64, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -36, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,2829.0,0.0,50.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, Black, Male,0.0,0.0,35.0, United-States,<=50K -56, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -38, Self-emp-inc, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -25, Private, 12th,8.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, Puerto-Rico,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,99999.0,0.0,60.0, United-States,>50K -22, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 10th,6.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -54, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -52, Private, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Wife, White, Female,0.0,0.0,15.0, United-States,>50K -22, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -57, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, 12th,8.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, 1st-4th,2.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,55.0, Mexico,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, State-gov, 7th-8th,4.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,45.0, Poland,<=50K -49, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -65, Self-emp-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,6723.0,0.0,40.0, United-States,<=50K -52, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -30, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -40, Local-gov, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -77, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -64, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, India,<=50K -43, Local-gov, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,2002.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,48.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -25, Private, 7th-8th,4.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,1887.0,70.0, South,>50K -51, Private, 10th,6.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,30.0, United-States,<=50K -31, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, State-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,1504.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,60.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -17, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, White, Male,4650.0,0.0,40.0, United-States,<=50K -65, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,10.0, United-States,>50K -62, State-gov, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,2444.0,45.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4508.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Germany,<=50K -32, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,1902.0,15.0, United-States,>50K -50, Private, HS-grad,9.0, Divorced, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,7688.0,0.0,48.0, Taiwan,>50K -41, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -26, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -40, Private, Some-college,10.0, Separated, Tech-support, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -48, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Male,4650.0,0.0,50.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,60.0, United-States,>50K -47, Private, HS-grad,9.0, Separated, Craft-repair, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,1719.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Guatemala,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -41, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,43.0, United-States,<=50K -53, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Local-gov, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -48, Self-emp-not-inc, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,5455.0,0.0,60.0, United-States,<=50K -43, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -28, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -23, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,15.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -37, Federal-gov, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Separated, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1974.0,40.0, United-States,<=50K -22, Private, 11th,7.0, Never-married, Farming-fishing, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -47, Private, Doctorate,16.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -43, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, Canada,>50K -50, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -32, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -56, Federal-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -40, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -38, State-gov, 10th,6.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013.0,0.0,30.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, England,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -25, Local-gov, Some-college,10.0, Divorced, Protective-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,1902.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,90.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,2354.0,0.0,61.0, United-States,<=50K -25, Local-gov, Some-college,10.0, Never-married, Protective-serv, Other-relative, Black, Male,0.0,0.0,40.0, Trinadad&Tobago,<=50K -18, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -69, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,6514.0,0.0,45.0, United-States,>50K -22, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-inc, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -59, Local-gov, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,46.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, England,>50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -59, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -45, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -25, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,25.0, El-Salvador,<=50K -29, Private, 11th,7.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,42.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -72, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, Cuba,>50K -39, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -65, Private, Assoc-voc,11.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -63, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,3674.0,0.0,30.0, United-States,<=50K -58, Private, Some-college,10.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,1092.0,40.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Separated, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, 10th,6.0, Separated, Protective-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Assoc-voc,11.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Wife, Asian-Pac-Islander, Female,0.0,0.0,37.0, Philippines,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -27, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Other-relative, Black, Female,0.0,0.0,50.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,37.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024.0,0.0,35.0, United-States,>50K -33, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Self-emp-not-inc, Some-college,10.0, Separated, Exec-managerial, Unmarried, White, Female,1151.0,0.0,60.0, United-States,<=50K -50, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,50.0, United-States,>50K -43, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, 1st-4th,2.0, Divorced, Farming-fishing, Unmarried, White, Male,0.0,0.0,40.0, Thailand,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,45.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -27, Private, 11th,7.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,50.0, United-States,<=50K -45, Private, 12th,8.0, Divorced, Farming-fishing, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Poland,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999.0,0.0,40.0, United-States,>50K -26, Private, 10th,6.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,24.0, Honduras,<=50K -44, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -38, Local-gov, Some-college,10.0, Never-married, Protective-serv, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Federal-gov, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -72, State-gov, 7th-8th,4.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,42.0, United-States,>50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -24, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -55, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Wife, White, Female,0.0,0.0,48.0, United-States,<=50K -48, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -39, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -45, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,43.0, Germany,<=50K -36, Self-emp-inc, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -23, Local-gov, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -35, Self-emp-not-inc, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,1980.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1485.0,50.0, United-States,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -42, Private, Doctorate,16.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1504.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -56, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,36.0, United-States,<=50K -28, Private, 5th-6th,3.0, Never-married, Other-service, Other-relative, White, Male,2176.0,0.0,52.0, Mexico,<=50K -46, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,5013.0,0.0,30.0, United-States,<=50K -30, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -63, Local-gov, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,8614.0,0.0,38.0, United-States,>50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -40, Self-emp-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,55.0, Trinadad&Tobago,<=50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -47, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -59, Private, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 11th,7.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,30.0, United-States,<=50K -36, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, State-gov, Assoc-voc,11.0, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386.0,0.0,60.0, United-States,>50K -59, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,46.0, United-States,>50K -58, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -19, Private, 12th,8.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,47.0, United-States,<=50K -43, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,99999.0,0.0,80.0, United-States,>50K -62, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, Bachelors,13.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -78, Private, 1st-4th,2.0, Widowed, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,20.0, Nicaragua,<=50K -43, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,50.0, Outlying-US(Guam-USVI-etc),<=50K -60, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,15024.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, Mexico,<=50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, State-gov, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,39.0, United-States,<=50K -37, Private, 1st-4th,2.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,35.0, Mexico,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -27, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-spouse-absent, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, Canada,<=50K -23, State-gov, Assoc-voc,11.0, Married-AF-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -40, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,2057.0,40.0, Mexico,<=50K -22, Private, Preschool,1.0, Never-married, Other-service, Own-child, Black, Female,594.0,0.0,20.0, Jamaica,<=50K -61, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -63, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,54.0, United-States,>50K -51, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -20, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -53, Private, Bachelors,13.0, Never-married, Sales, Unmarried, White, Male,0.0,1669.0,50.0, United-States,<=50K -43, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Self-emp-not-inc, 10th,6.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,75.0, United-States,>50K -39, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Female,0.0,0.0,37.0, Puerto-Rico,<=50K -30, Private, HS-grad,9.0, Separated, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -48, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,38.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -28, Private, Some-college,10.0, Married-civ-spouse, Other-service, Own-child, White, Female,7688.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,48.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -27, Private, Masters,14.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -54, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -41, Private, 1st-4th,2.0, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0.0,1719.0,40.0, Mexico,<=50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103.0,0.0,50.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -51, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -38, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,27.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -56, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,96.0, Mexico,<=50K -42, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, 9th,5.0, Never-married, Priv-house-serv, Unmarried, White, Female,0.0,0.0,50.0, Puerto-Rico,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -38, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,38.0, United-States,<=50K -33, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -33, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,51.0, United-States,>50K -57, State-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -76, Self-emp-not-inc, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,2.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -36, State-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,2202.0,0.0,45.0, United-States,<=50K -51, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -56, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, Japan,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Tech-support, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -46, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Priv-house-serv, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -30, Private, 9th,5.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,27.0, United-States,<=50K -42, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,8614.0,0.0,45.0, United-States,>50K -27, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -59, State-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, Other, Female,0.0,0.0,30.0, United-States,<=50K -48, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, India,<=50K -44, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -36, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Assoc-acdm,12.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013.0,0.0,60.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,25.0, India,<=50K -58, Private, Assoc-voc,11.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -39, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -65, Private, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Male,1848.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -25, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -35, Self-emp-not-inc, Some-college,10.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, 12th,8.0, Divorced, Sales, Not-in-family, White, Female,0.0,1762.0,45.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -45, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -19, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -27, State-gov, HS-grad,9.0, Separated, Protective-serv, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,58.0, United-States,<=50K -46, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -59, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, Philippines,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Local-gov, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -21, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -29, Private, Bachelors,13.0, Divorced, Exec-managerial, Other-relative, White, Female,0.0,0.0,50.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,1485.0,40.0, Thailand,>50K -20, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -55, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -40, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Federal-gov, Assoc-acdm,12.0, Never-married, Protective-serv, Not-in-family, Black, Male,0.0,0.0,42.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -42, Self-emp-not-inc, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,99.0, United-States,>50K -66, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -20, Private, 12th,8.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,35.0, United-States,>50K -37, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -54, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1902.0,35.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,60.0, United-States,<=50K -32, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Federal-gov, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,0.0,35.0, India,>50K -45, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Doctorate,16.0, Divorced, Tech-support, Unmarried, White, Male,7430.0,0.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, 11th,7.0, Widowed, Craft-repair, Not-in-family, White, Male,2174.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -41, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,75.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, Black, Male,0.0,0.0,11.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,594.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,72.0, United-States,<=50K -55, Private, 9th,5.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Self-emp-not-inc, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, Bachelors,13.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,38.0, United-States,>50K -67, Private, HS-grad,9.0, Divorced, Priv-house-serv, Unmarried, Black, Female,1848.0,0.0,99.0, United-States,<=50K -72, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -32, Private, 12th,8.0, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -61, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -39, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,35.0, United-States,>50K -57, Self-emp-inc, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,90.0, Greece,>50K -47, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -38, Private, Assoc-acdm,12.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -77, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Tech-support, Unmarried, White, Female,0.0,0.0,8.0, United-States,<=50K -37, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -43, Self-emp-inc, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Male,27828.0,0.0,45.0, United-States,>50K -50, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -68, Self-emp-not-inc, 7th-8th,4.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,10520.0,0.0,45.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,37.0, United-States,<=50K -42, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,2174.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0.0,1977.0,40.0, United-States,>50K -51, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,8.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -71, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,6514.0,0.0,40.0, United-States,>50K -30, Local-gov, HS-grad,9.0, Separated, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -39, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Farming-fishing, Own-child, White, Female,0.0,0.0,18.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,42.0, United-States,<=50K -19, Private, 10th,6.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,36.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Federal-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,27828.0,0.0,50.0, United-States,>50K -41, Self-emp-inc, Bachelors,13.0, Widowed, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,45.0, United-States,<=50K -34, Private, 12th,8.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,34.0, United-States,<=50K -47, Private, 1st-4th,2.0, Widowed, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -21, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Doctorate,16.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -43, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Self-emp-not-inc, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, Greece,>50K -30, State-gov, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,38.0, Thailand,<=50K -30, Local-gov, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -28, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,2179.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,31.0, United-States,<=50K -50, Local-gov, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -17, Self-emp-inc, 12th,8.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -28, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,5013.0,0.0,40.0, United-States,<=50K -43, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,37.0, United-States,<=50K -48, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -58, Local-gov, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -49, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -41, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,27828.0,0.0,48.0, United-States,>50K -65, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -36, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,>50K -22, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -37, Private, 11th,7.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -37, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,35.0, Hong,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0.0,0.0,25.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,42.0, United-States,<=50K -28, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -58, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,1504.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, England,<=50K -29, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,18.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -34, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,60.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,25.0, United-States,<=50K -20, Private, 9th,5.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,1573.0,40.0, Italy,<=50K -26, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,1564.0,40.0, Canada,>50K -57, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2415.0,40.0, United-States,>50K -40, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -58, Private, HS-grad,9.0, Widowed, Craft-repair, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -62, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -41, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,64.0, United-States,>50K -46, Private, HS-grad,9.0, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Yugoslavia,>50K -33, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 10th,6.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -33, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,1092.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -52, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -64, Self-emp-inc, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -38, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -67, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,15.0, Canada,<=50K -37, Local-gov, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -55, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -25, State-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,1902.0,40.0, United-States,>50K -75, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0.0,0.0,15.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -36, Self-emp-not-inc, 11th,7.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -67, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -32, Self-emp-not-inc, Some-college,10.0, Separated, Farming-fishing, Unmarried, White, Female,0.0,0.0,65.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -46, Private, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -48, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Federal-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -62, Private, 7th-8th,4.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, Cuba,<=50K -30, Private, Assoc-acdm,12.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -56, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Separated, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Federal-gov, Bachelors,13.0, Separated, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Cuba,>50K -51, Private, 9th,5.0, Widowed, Craft-repair, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,13550.0,0.0,60.0, United-States,>50K -34, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -52, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -28, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, 12th,8.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,55.0, Germany,<=50K -50, Private, Bachelors,13.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Separated, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-inc, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,4386.0,0.0,40.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013.0,0.0,40.0, Mexico,<=50K -20, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -53, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Assoc-voc,11.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -48, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,72.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Other, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,>50K -48, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,60.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013.0,0.0,44.0, United-States,<=50K -39, Federal-gov, HS-grad,9.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -35, Private, HS-grad,9.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,13550.0,0.0,35.0, United-States,>50K -41, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, Dominican-Republic,<=50K -32, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,>50K -37, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -66, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -42, Private, Some-college,10.0, Separated, Prof-specialty, Unmarried, White, Female,1506.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,30.0, United-States,<=50K -20, State-gov, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 11th,7.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Assoc-acdm,12.0, Married-spouse-absent, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -56, Self-emp-not-inc, Assoc-voc,11.0, Married-spouse-absent, Sales, Not-in-family, White, Male,0.0,0.0,46.0, United-States,<=50K -27, Private, 11th,7.0, Never-married, Craft-repair, Unmarried, Black, Male,0.0,0.0,47.0, United-States,<=50K -31, Private, 7th-8th,4.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,60.0, Portugal,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, Italy,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, Mexico,<=50K -19, Private, 12th,8.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -32, Local-gov, HS-grad,9.0, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -37, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-spouse-absent, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Private, 5th-6th,3.0, Married-spouse-absent, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, Ecuador,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -33, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -62, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,80.0, United-States,>50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -45, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -29, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -32, Private, Assoc-acdm,12.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, 10th,6.0, Never-married, Priv-house-serv, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,46.0, United-States,<=50K -52, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,48.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -23, State-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, Other, Female,99999.0,0.0,40.0, United-States,>50K -52, Private, Some-college,10.0, Divorced, Sales, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,40.0, Japan,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,3103.0,0.0,43.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -55, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -43, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,88.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -57, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -34, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Taiwan,>50K -22, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2105.0,0.0,40.0, United-States,<=50K -29, Local-gov, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,50.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,2472.0,35.0, United-States,>50K -35, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -65, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,24.0, United-States,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1579.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, Doctorate,16.0, Married-spouse-absent, Prof-specialty, Not-in-family, Other, Male,0.0,0.0,60.0, England,>50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -54, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,2174.0,0.0,55.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,36.0, United-States,<=50K -40, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,14344.0,0.0,45.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,1055.0,0.0,20.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, State-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, State-gov, HS-grad,9.0, Never-married, Transport-moving, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Sales, Own-child, Black, Male,6849.0,0.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,49.0, United-States,<=50K -62, Private, HS-grad,9.0, Separated, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,27.0, United-States,<=50K -63, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,5013.0,0.0,15.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -67, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,12.0, United-States,<=50K -36, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -67, Private, Assoc-acdm,12.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -64, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,1741.0,40.0, United-States,<=50K -35, Local-gov, HS-grad,9.0, Separated, Protective-serv, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -19, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, State-gov, Some-college,10.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -47, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,42.0, United-States,<=50K -38, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -38, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, 11th,7.0, Divorced, Other-service, Not-in-family, Black, Male,0.0,0.0,54.0, United-States,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -46, Private, 5th-6th,3.0, Widowed, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,594.0,0.0,10.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Federal-gov, Masters,14.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, Cuba,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,38.0, United-States,>50K -28, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,47.0, Mexico,<=50K -34, State-gov, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, State-gov, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Self-emp-not-inc, 9th,5.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,38.0, United-States,<=50K -61, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -67, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,43.0, United-States,<=50K -31, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,1902.0,30.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -72, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,10.0, Poland,<=50K -61, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Federal-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, State-gov, Some-college,10.0, Separated, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1887.0,40.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -69, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -70, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, Canada,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, 11th,7.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,30.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,36.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -32, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -62, Private, Assoc-voc,11.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,33.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -64, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,5.0, United-States,>50K -50, Local-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386.0,0.0,48.0, United-States,>50K -45, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,1408.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -51, Without-pay, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -53, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Tech-support, Unmarried, Black, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,24.0, United-States,<=50K -21, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -47, Private, 11th,7.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,28.0, United-States,<=50K -38, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,55.0, United-States,>50K -54, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, United-States,>50K -45, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -45, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -66, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -66, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,25.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -32, Local-gov, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, Japan,<=50K -18, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -33, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,20.0, China,<=50K -37, Private, Assoc-voc,11.0, Divorced, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Local-gov, HS-grad,9.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -53, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, 10th,6.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,2.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, 9th,5.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -40, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, Cuba,<=50K -42, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,66.0, United-States,<=50K -42, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, Other, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -31, State-gov, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,80.0, United-States,>50K -57, Private, Some-college,10.0, Widowed, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -63, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -28, Local-gov, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,1669.0,90.0, United-States,<=50K -64, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -29, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Widowed, Exec-managerial, Unmarried, White, Male,0.0,0.0,38.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -77, Private, HS-grad,9.0, Widowed, Craft-repair, Unmarried, White, Female,0.0,0.0,5.0, United-States,<=50K -31, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -46, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -47, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,41.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,5178.0,0.0,40.0, United-States,>50K -21, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -61, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,32.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Protective-serv, Not-in-family, Black, Male,0.0,0.0,55.0, Philippines,<=50K -37, Private, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,47.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1740.0,55.0, United-States,<=50K -31, Local-gov, HS-grad,9.0, Separated, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, Other, Female,0.0,0.0,15.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -73, Local-gov, 5th-6th,3.0, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,25.0, Philippines,<=50K -17, Private, 9th,5.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -49, Private, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,6.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Local-gov, Bachelors,13.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-spouse-absent, Farming-fishing, Other-relative, White, Male,0.0,0.0,12.0, Mexico,<=50K -52, State-gov, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -83, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -45, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,15024.0,0.0,72.0, United-States,>50K -40, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,32.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,4386.0,0.0,35.0, United-States,>50K -32, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -55, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, Some-college,10.0, Separated, Sales, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -44, Local-gov, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -19, Private, 9th,5.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -25, Private, 11th,7.0, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -34, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Other, Female,8614.0,0.0,40.0, India,>50K -21, Private, HS-grad,9.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -67, Private, 7th-8th,4.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,12.0, United-States,<=50K -28, Private, Masters,14.0, Never-married, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,1762.0,79.0, United-States,<=50K -62, Private, Some-college,10.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -68, Private, 12th,8.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, 10th,6.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,45.0, United-States,<=50K -33, Private, 10th,6.0, Divorced, Protective-serv, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -30, Self-emp-inc, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -59, Private, 9th,5.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1590.0,40.0, United-States,<=50K -26, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -20, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -32, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,36.0, United-States,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -22, Private, 11th,7.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -38, State-gov, Some-college,10.0, Divorced, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -30, State-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,5.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Federal-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Male,14084.0,0.0,36.0, United-States,>50K -20, Self-emp-inc, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -47, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0.0,0.0,40.0, Peru,>50K -57, Self-emp-not-inc, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Male,0.0,0.0,60.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -64, Private, 5th-6th,3.0, Widowed, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,4.0, United-States,<=50K -29, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -47, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -28, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,4.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,10520.0,0.0,40.0, Puerto-Rico,>50K -34, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,6497.0,0.0,40.0, United-States,<=50K -31, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,51.0, United-States,<=50K -23, State-gov, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,1721.0,20.0, United-States,<=50K -25, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, 12th,8.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, Canada,<=50K -52, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -53, Self-emp-not-inc, 11th,7.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -57, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,36.0, United-States,<=50K -34, Private, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Private, 9th,5.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -27, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,1876.0,50.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,50.0, Philippines,<=50K -55, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, State-gov, Doctorate,16.0, Widowed, Prof-specialty, Not-in-family, Black, Male,8614.0,0.0,50.0, United-States,>50K -56, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, Some-college,10.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,78.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1672.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -28, Private, Masters,14.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,36.0, Philippines,<=50K -67, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2457.0,40.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, State-gov, 12th,8.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -68, Private, Some-college,10.0, Widowed, Craft-repair, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -51, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -64, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -35, Private, Bachelors,13.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Federal-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,25.0, United-States,<=50K -46, Self-emp-inc, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -51, Private, 10th,6.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -50, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-not-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,1340.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,4064.0,0.0,46.0, United-States,<=50K -39, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,13550.0,0.0,60.0, United-States,>50K -41, Private, Masters,14.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -36, Private, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1579.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 11th,7.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -49, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,10.0, Puerto-Rico,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, France,>50K -41, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -35, Local-gov, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,23.0, United-States,<=50K -42, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,2231.0,40.0, United-States,>50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -43, Private, Assoc-acdm,12.0, Divorced, Other-service, Unmarried, White, Female,0.0,2238.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -57, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -20, Self-emp-inc, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -81, Private, Prof-school,15.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,10605.0,0.0,2.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,2205.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,>50K -32, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,45.0, Mexico,>50K -48, Private, 1st-4th,2.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -50, Private, 9th,5.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,64.0, United-States,<=50K -54, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Federal-gov, HS-grad,9.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-inc, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -56, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,14084.0,0.0,60.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,44.0, United-States,>50K -31, Private, HS-grad,9.0, Separated, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,36.0, United-States,<=50K -41, Private, 10th,6.0, Divorced, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,18.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,43.0, United-States,>50K -47, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -63, Local-gov, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, White, Female,4650.0,0.0,48.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -62, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,33.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,35.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, Assoc-voc,11.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,45.0, Poland,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -61, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -34, Private, 11th,7.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,65.0, Guatemala,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Assoc-acdm,12.0, Never-married, Prof-specialty, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -45, State-gov, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -47, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,2258.0,20.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,>50K -35, Private, Assoc-acdm,12.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, 12th,8.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, Germany,<=50K -44, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, Hungary,>50K -20, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1848.0,48.0, United-States,>50K -28, Private, 5th-6th,3.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Hong,<=50K -35, Private, 10th,6.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, State-gov, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,8.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, State-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,18.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,48.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386.0,0.0,48.0, United-States,<=50K -40, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, South,>50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, 7th-8th,4.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-not-inc, Some-college,10.0, Divorced, Transport-moving, Unmarried, White, Female,0.0,0.0,53.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -76, Local-gov, 10th,6.0, Divorced, Transport-moving, Not-in-family, Black, Male,0.0,0.0,20.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,2977.0,0.0,55.0, United-States,<=50K -29, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, 5th-6th,3.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,6.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Other-relative, White, Female,0.0,0.0,55.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,31.0, United-States,>50K -43, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Prof-school,15.0, Married-AF-spouse, Prof-specialty, Wife, White, Female,99999.0,0.0,60.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -58, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -25, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -19, Private, 10th,6.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -35, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, Poland,<=50K -45, Private, HS-grad,9.0, Widowed, Farming-fishing, Unmarried, White, Male,0.0,0.0,65.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -29, Private, 11th,7.0, Separated, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -61, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, 7th-8th,4.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -47, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,65.0, United-States,>50K -31, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Local-gov, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, Other, Female,0.0,0.0,35.0, United-States,<=50K -47, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, England,>50K -59, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,2635.0,0.0,60.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -40, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,47.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -22, State-gov, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -40, Private, 9th,5.0, Never-married, Craft-repair, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -50, Federal-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -45, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Federal-gov, Some-college,10.0, Separated, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1628.0,47.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -31, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -82, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,12.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,15024.0,0.0,37.0, United-States,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -41, State-gov, HS-grad,9.0, Separated, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Private, HS-grad,9.0, Separated, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -53, Private, HS-grad,9.0, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,10520.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Married-AF-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -52, Private, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,84.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -46, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Local-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, 10th,6.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, England,<=50K -22, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -57, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Black, Female,0.0,0.0,32.0, United-States,<=50K -34, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -80, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -59, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -32, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, Puerto-Rico,<=50K -44, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 12th,8.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -39, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,27828.0,0.0,60.0, United-States,>50K -53, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,4865.0,0.0,40.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -90, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,2414.0,0.0,40.0, United-States,<=50K -44, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -81, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,21.0, United-States,<=50K -19, Private, Assoc-voc,11.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Local-gov, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,52.0, United-States,<=50K -51, Self-emp-not-inc, Some-college,10.0, Separated, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,16.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, Some-college,10.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,2231.0,40.0, United-States,>50K -52, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2415.0,55.0, United-States,>50K -30, Self-emp-not-inc, 11th,7.0, Divorced, Sales, Unmarried, White, Male,0.0,653.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -65, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,3.0, United-States,<=50K -45, Private, Bachelors,13.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Self-emp-not-inc, 11th,7.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -20, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0.0,0.0,10.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 9th,5.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -52, Private, 9th,5.0, Separated, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, 12th,8.0, Never-married, Protective-serv, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -58, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,99999.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Local-gov, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -42, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,3674.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -46, Private, Bachelors,13.0, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, China,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -57, Local-gov, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Male,6849.0,0.0,40.0, United-States,<=50K -37, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -54, Local-gov, 11th,7.0, Widowed, Protective-serv, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, White, Male,2174.0,0.0,45.0, United-States,<=50K -54, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,4.0, United-States,<=50K -37, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Private, 5th-6th,3.0, Separated, Other-service, Other-relative, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -20, Private, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-spouse-absent, Other-service, Own-child, White, Female,0.0,0.0,28.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -48, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -77, Self-emp-not-inc, Preschool,1.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -26, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,39.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, HS-grad,9.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,58.0, United-States,>50K -33, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, Some-college,10.0, Married-AF-spouse, Craft-repair, Husband, White, Male,0.0,0.0,28.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -36, Local-gov, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,24.0, Germany,<=50K -26, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,1876.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,25.0, United-States,>50K -37, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7298.0,0.0,40.0, Taiwan,>50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,24.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, Black, Male,0.0,0.0,1.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -53, Private, Some-college,10.0, Divorced, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -30, Local-gov, Bachelors,13.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,17.0, United-States,<=50K -59, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, 1st-4th,2.0, Married-civ-spouse, Farming-fishing, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -24, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, White, Female,5178.0,0.0,40.0, United-States,>50K -50, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -62, Federal-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -46, State-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Male,5455.0,0.0,40.0, United-States,<=50K -52, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Germany,<=50K -53, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -22, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -40, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,>50K -24, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,5.0, United-States,<=50K -38, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -21, Private, Bachelors,13.0, Married-civ-spouse, Sales, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,2415.0,40.0, United-States,>50K -58, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, 11th,7.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,2907.0,0.0,35.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -58, Private, 11th,7.0, Divorced, Adm-clerical, Not-in-family, White, Female,3674.0,0.0,40.0, United-States,<=50K -28, Private, 9th,5.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, Portugal,<=50K -30, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -29, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -40, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, 11th,7.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, India,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,41.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0.0,1887.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Transport-moving, Own-child, White, Female,0.0,0.0,84.0, United-States,<=50K -58, Private, Prof-school,15.0, Divorced, Tech-support, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -83, Local-gov, Some-college,10.0, Widowed, Prof-specialty, Not-in-family, White, Male,0.0,0.0,12.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -47, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, Other, Male,0.0,1138.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Federal-gov, Assoc-voc,11.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -30, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,39.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,55.0, United-States,>50K -61, Self-emp-not-inc, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Sales, Other-relative, White, Female,0.0,0.0,31.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,2597.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Married-spouse-absent, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Federal-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,8614.0,0.0,40.0, United-States,>50K -48, Private, HS-grad,9.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,56.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Never-married, Farming-fishing, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Separated, Machine-op-inspct, Own-child, White, Male,0.0,0.0,53.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, 11th,7.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -26, Private, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, 12th,8.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,48.0, Haiti,<=50K -52, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -37, State-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -63, Federal-gov, 1st-4th,2.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -38, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -54, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -35, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -58, Self-emp-not-inc, 10th,6.0, Separated, Sales, Other-relative, Other, Male,0.0,0.0,40.0, Cuba,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -27, Self-emp-inc, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -31, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -53, Private, 12th,8.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -36, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, Mexico,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -40, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -42, State-gov, Some-college,10.0, Separated, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,36.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -58, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -24, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, 10th,6.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, China,<=50K -25, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0.0,3004.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -75, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 9th,5.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,8.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,89.0, United-States,>50K -58, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2407.0,0.0,25.0, United-States,<=50K -34, State-gov, Masters,14.0, Never-married, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -51, Private, HS-grad,9.0, Separated, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,45.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, Black, Female,0.0,1485.0,37.0, United-States,>50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,4931.0,0.0,98.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,32.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, State-gov, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -48, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,49.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,2057.0,35.0, United-States,<=50K -34, State-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -62, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -71, Self-emp-not-inc, HS-grad,9.0, Widowed, Farming-fishing, Unmarried, White, Male,1731.0,0.0,5.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,55.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -60, Self-emp-not-inc, Preschool,1.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Poland,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Nicaragua,<=50K -46, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1485.0,40.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -71, Self-emp-inc, 11th,7.0, Divorced, Machine-op-inspct, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -35, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, White, Male,3674.0,0.0,52.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Self-emp-inc, 9th,5.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, Columbia,<=50K -23, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, 1st-4th,2.0, Widowed, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -46, Private, Bachelors,13.0, Separated, Prof-specialty, Unmarried, Black, Female,0.0,0.0,32.0, Jamaica,<=50K -45, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -53, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -33, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -49, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,1876.0,35.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -37, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,90.0, United-States,>50K -32, Private, HS-grad,9.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -33, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,56.0, United-States,<=50K -46, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -65, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -67, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,99999.0,0.0,60.0, United-States,>50K -22, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,38.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,20.0, China,<=50K -47, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -47, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -46, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2415.0,40.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -45, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,1762.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-AF-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -35, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -27, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -73, Private, 7th-8th,4.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,18.0, United-States,<=50K -61, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -52, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1579.0,40.0, United-States,<=50K -34, Self-emp-inc, Some-college,10.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -27, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -47, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -58, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,3103.0,0.0,25.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -39, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-acdm,12.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,15.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,49.0, United-States,>50K -26, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -47, Private, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, 11th,7.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013.0,0.0,50.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Self-emp-not-inc, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,2559.0,60.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1887.0,65.0, United-States,>50K -61, Self-emp-not-inc, 10th,6.0, Widowed, Craft-repair, Other-relative, White, Male,0.0,0.0,18.0, Mexico,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,1590.0,32.0, United-States,<=50K -34, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -90, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Male,6097.0,0.0,45.0, United-States,>50K -24, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,2202.0,0.0,38.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,1408.0,40.0, United-States,<=50K -90, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051.0,0.0,45.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -60, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Japan,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,35.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,1977.0,60.0, United-States,>50K -39, Private, Masters,14.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,28.0, United-States,<=50K -24, Self-emp-not-inc, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, Some-college,10.0, Divorced, Farming-fishing, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, 11th,7.0, Separated, Other-service, Unmarried, Black, Male,0.0,0.0,22.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Self-emp-not-inc, Preschool,1.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -25, State-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 10th,6.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -55, State-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, Germany,<=50K -37, Private, Bachelors,13.0, Separated, Exec-managerial, Not-in-family, White, Male,4787.0,0.0,55.0, United-States,>50K -44, Self-emp-not-inc, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,5013.0,0.0,46.0, United-States,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, China,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -41, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, State-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,20.0, Puerto-Rico,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,48.0, United-States,>50K -40, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -61, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -44, State-gov, Assoc-voc,11.0, Separated, Protective-serv, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -42, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -33, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -53, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Preschool,1.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -45, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, HS-grad,9.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, Canada,>50K -36, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,2258.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,27828.0,0.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -48, State-gov, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Female,914.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,45.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -47, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,1408.0,50.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,18.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -34, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1977.0,38.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -28, Private, Bachelors,13.0, Married-spouse-absent, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -26, State-gov, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -45, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, Greece,<=50K -57, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,42.0, United-States,<=50K -53, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,36.0, United-States,<=50K -37, Private, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -39, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -48, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,37.0, United-States,<=50K -18, Private, Some-college,10.0, Married-spouse-absent, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, Peru,<=50K -18, Private, 10th,6.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -78, Self-emp-not-inc, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Male,0.0,0.0,24.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,15024.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -80, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, Black, Male,0.0,0.0,15.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -27, Self-emp-not-inc, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -52, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,48.0, United-States,>50K -48, Local-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999.0,0.0,40.0, Philippines,>50K -17, Private, 10th,6.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,4.0, United-States,<=50K -60, Private, 12th,8.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -76, Private, HS-grad,9.0, Widowed, Protective-serv, Not-in-family, White, Female,7896.0,0.0,18.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, 7th-8th,4.0, Separated, Other-service, Other-relative, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -40, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, State-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Mexico,<=50K -26, Self-emp-inc, Some-college,10.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -59, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1740.0,80.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, 9th,5.0, Divorced, Craft-repair, Unmarried, White, Male,5455.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Canada,<=50K -55, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -77, Private, Doctorate,16.0, Widowed, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, State-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Self-emp-inc, HS-grad,9.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, State-gov, Bachelors,13.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Local-gov, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,2179.0,41.0, United-States,<=50K -49, Private, 7th-8th,4.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -27, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -48, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Assoc-acdm,12.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,4416.0,0.0,38.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, 10th,6.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 9th,5.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -45, Federal-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,55.0, United-States,>50K -30, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Prof-school,15.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -46, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,45.0, United-States,>50K -42, Self-emp-not-inc, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Local-gov, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,48.0, United-States,<=50K -44, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,54.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -49, Private, 10th,6.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Female,0.0,0.0,45.0, United-States,<=50K -65, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -48, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Local-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,6418.0,0.0,45.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -53, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 1st-4th,2.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Other-service, Other-relative, White, Male,0.0,0.0,35.0, United-States,<=50K -27, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, State-gov, Bachelors,13.0, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Male,2463.0,0.0,40.0, United-States,<=50K -49, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -72, Private, Masters,14.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,12.0, United-States,<=50K -55, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -21, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,53.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, Poland,<=50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,60.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -51, Private, Some-college,10.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,43.0, United-States,>50K -48, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -23, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Married-civ-spouse, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -76, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,5556.0,0.0,13.0, United-States,>50K -35, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -18, Self-emp-inc, 11th,7.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -68, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -22, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -37, Private, 7th-8th,4.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,44.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,55.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -72, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,28.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,12.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,55.0, United-States,<=50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,594.0,0.0,40.0, United-States,<=50K -46, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, India,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -63, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -21, Private, 7th-8th,4.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,36.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, Cuba,<=50K -21, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, Other, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -47, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Local-gov, Masters,14.0, Widowed, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -43, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -39, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,24.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Farming-fishing, Own-child, White, Male,594.0,0.0,5.0, United-States,<=50K -26, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -58, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -34, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female,0.0,0.0,40.0, Portugal,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -41, Private, Bachelors,13.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,4416.0,0.0,40.0, United-States,<=50K -17, Local-gov, 11th,7.0, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,30.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Guatemala,<=50K -39, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -72, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,53.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, Other, Male,0.0,0.0,45.0, Ecuador,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Assoc-acdm,12.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,60.0, United-States,<=50K -55, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,42.0, United-States,<=50K -51, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -54, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,21.0, United-States,>50K -41, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Preschool,1.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,28.0, El-Salvador,<=50K -41, Local-gov, HS-grad,9.0, Separated, Other-service, Not-in-family, Black, Female,4101.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, Cuba,<=50K -22, Local-gov, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,15.0, United-States,<=50K -56, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Local-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -29, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -41, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -35, Federal-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -36, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, Masters,14.0, Divorced, Adm-clerical, Unmarried, White, Male,0.0,0.0,41.0, United-States,<=50K -36, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -49, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,9.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, Haiti,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Self-emp-not-inc, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -61, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 11th,7.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Preschool,1.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, Mexico,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -46, Local-gov, Assoc-acdm,12.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -36, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, Other, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -68, Local-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,33.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -46, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1848.0,50.0, United-States,>50K -50, Private, Bachelors,13.0, Married-spouse-absent, Sales, Not-in-family, White, Female,0.0,0.0,20.0, Germany,<=50K -69, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -29, Self-emp-not-inc, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -23, Private, 5th-6th,3.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,35.0, Mexico,<=50K -25, Private, 9th,5.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -61, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,27.0, United-States,<=50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -61, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2246.0,50.0, United-States,>50K -54, Self-emp-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,99999.0,0.0,70.0, United-States,>50K -41, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -24, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,5178.0,0.0,40.0, Canada,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Separated, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,2174.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -51, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -26, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,45.0, United-States,>50K -27, Federal-gov, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -38, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3781.0,0.0,78.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -37, Local-gov, Assoc-acdm,12.0, Divorced, Other-service, Unmarried, White, Male,0.0,0.0,60.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, State-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -31, Self-emp-not-inc, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,1590.0,60.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -23, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Peru,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -75, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -54, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,48.0, Italy,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -38, Local-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,5013.0,0.0,20.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,20.0, United-States,<=50K -41, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -24, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,2246.0,40.0, United-States,>50K -61, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -35, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1876.0,45.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Local-gov, HS-grad,9.0, Never-married, Transport-moving, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,48.0, United-States,>50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Self-emp-not-inc, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,1055.0,0.0,20.0, United-States,<=50K -32, State-gov, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -29, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, Other, Male,4787.0,0.0,35.0, Mexico,>50K -28, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -45, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -51, Local-gov, Some-college,10.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -57, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -26, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,3942.0,0.0,7.0, United-States,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -45, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, United-States,<=50K -20, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,28.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -18, Private, 11th,7.0, Married-civ-spouse, Sales, Wife, Other, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -66, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -41, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Germany,<=50K -41, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -80, Private, HS-grad,9.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -24, Federal-gov, 9th,5.0, Never-married, Adm-clerical, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -64, Private, Some-college,10.0, Widowed, Sales, Not-in-family, White, Male,2354.0,0.0,35.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,70.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, 10th,6.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-inc, 12th,8.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -50, Federal-gov, HS-grad,9.0, Separated, Sales, Other-relative, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -62, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -49, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,1719.0,30.0, United-States,<=50K -31, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -41, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -22, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,42.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -63, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,47.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Male,0.0,0.0,52.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Cambodia,>50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -47, State-gov, Doctorate,16.0, Separated, Exec-managerial, Own-child, Asian-Pac-Islander, Male,2354.0,0.0,45.0, United-States,<=50K -33, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -21, Private, 5th-6th,3.0, Never-married, Craft-repair, Not-in-family, Other, Male,0.0,0.0,32.0, Mexico,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -59, Private, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Other-relative, Black, Female,2202.0,0.0,37.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,>50K -40, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -44, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, HS-grad,9.0, Separated, Transport-moving, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, 5th-6th,3.0, Separated, Craft-repair, Not-in-family, Other, Male,0.0,0.0,40.0, Mexico,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,30.0, United-States,<=50K -54, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Federal-gov, Prof-school,15.0, Married-civ-spouse, Armed-Forces, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,2415.0,70.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, 9th,5.0, Divorced, Craft-repair, Unmarried, White, Female,5455.0,0.0,45.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, Poland,<=50K -61, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,34.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,52.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -37, Federal-gov, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -48, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,>50K -30, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,39.0, United-States,<=50K -29, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, Greece,>50K -47, Self-emp-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,2002.0,42.0, United-States,<=50K -33, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,1980.0,50.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,60.0, United-States,>50K -32, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Never-married, Exec-managerial, Unmarried, Black, Female,0.0,0.0,99.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -34, State-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,4787.0,0.0,47.0, United-States,>50K -47, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -31, Private, 10th,6.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,99.0, Cuba,<=50K -45, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,25.0, United-States,<=50K -40, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,38.0, United-States,<=50K -31, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,60.0, India,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2603.0,60.0, United-States,<=50K -31, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, 12th,8.0, Separated, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -61, Private, HS-grad,9.0, Divorced, Sales, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -55, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -35, Private, 11th,7.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -58, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,32.0, United-States,>50K -33, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, 12th,8.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -45, State-gov, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,3325.0,0.0,60.0, United-States,<=50K -51, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,35.0, Philippines,<=50K -44, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -54, Local-gov, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -46, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -63, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -58, Private, 5th-6th,3.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,70.0, Mexico,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,70.0, United-States,>50K -30, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -63, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Private, Prof-school,15.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -32, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,1741.0,40.0, United-States,<=50K -37, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -40, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,3325.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Peru,<=50K -51, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -27, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,7298.0,0.0,56.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 12th,8.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -41, State-gov, Some-college,10.0, Divorced, Other-service, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Bachelors,13.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,41.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,13.0, United-States,<=50K -22, Private, 11th,7.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Wife, White, Female,0.0,0.0,40.0, Mexico,>50K -34, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, El-Salvador,<=50K -45, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,2885.0,0.0,60.0, United-States,<=50K -58, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,63.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,66.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Local-gov, 10th,6.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,36.0, United-States,>50K -28, Local-gov, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, 12th,8.0, Widowed, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,48.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,3464.0,0.0,35.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -67, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,2392.0,24.0, United-States,>50K -33, State-gov, 9th,5.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,44.0, United-States,<=50K -63, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1485.0,40.0, United-States,<=50K -28, Private, 7th-8th,4.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, Germany,<=50K -20, Self-emp-not-inc, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -49, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,41.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,37.0, United-States,<=50K -57, Private, 9th,5.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,38.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,65.0, United-States,>50K -66, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -47, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2051.0,40.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,10.0, Guatemala,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0.0,0.0,24.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -65, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,2538.0,0.0,50.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -58, Self-emp-not-inc, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -56, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3411.0,0.0,80.0, United-States,<=50K -45, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,2354.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -52, Local-gov, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,20.0, Portugal,<=50K -27, Private, Bachelors,13.0, Separated, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,44.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Local-gov, 10th,6.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,99999.0,0.0,60.0, United-States,>50K -72, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Local-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -59, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -67, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,12.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -67, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1510.0,8.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Self-emp-inc, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,33.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1902.0,40.0, United-States,>50K -52, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,44.0, United-States,>50K -24, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -33, State-gov, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,46.0, United-States,>50K -76, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Federal-gov, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Male,0.0,1944.0,20.0, Poland,<=50K -65, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, 9th,5.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, Haiti,<=50K -22, Private, 10th,6.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -64, Self-emp-not-inc, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -47, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -25, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -66, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Self-emp-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,1876.0,50.0, United-States,<=50K -64, Private, 10th,6.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -40, Private, 10th,6.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -24, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -68, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -21, Private, 10th,6.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -36, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -75, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,7298.0,0.0,40.0, Japan,>50K -17, Local-gov, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 12th,8.0, Never-married, Other-service, Other-relative, Other, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -46, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, Black, Female,0.0,0.0,50.0, United-States,<=50K -56, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -46, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Federal-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1848.0,47.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Female,4650.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -22, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, Mexico,<=50K -54, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Ireland,>50K -54, Private, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,80.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,39.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Self-emp-not-inc, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -42, Self-emp-not-inc, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -38, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, Italy,>50K -40, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -60, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,12.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -59, Federal-gov, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,41.0, United-States,<=50K -47, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Other, Male,7298.0,0.0,40.0, Mexico,>50K -32, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,38.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, England,<=50K -30, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -81, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,20.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,3887.0,0.0,40.0, United-States,<=50K -38, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -54, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,8614.0,0.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,41.0, El-Salvador,>50K -22, Federal-gov, HS-grad,9.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -36, State-gov, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -32, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,<=50K -21, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -42, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -52, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -50, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,38.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -63, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, Black, Male,0.0,1408.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -31, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Ireland,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -54, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -71, Private, 5th-6th,3.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Male,1506.0,0.0,50.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,10520.0,0.0,50.0, United-States,>50K -59, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -44, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1485.0,40.0, United-States,>50K -47, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -46, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -35, Local-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Separated, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Female,0.0,0.0,42.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, Poland,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -59, Private, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, White, Female,4650.0,0.0,37.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -43, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -50, Federal-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -69, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3456.0,0.0,30.0, Germany,<=50K -57, Private, 5th-6th,3.0, Separated, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, Ecuador,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -61, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -51, Private, 7th-8th,4.0, Divorced, Other-service, Not-in-family, Other, Male,0.0,0.0,40.0, Peru,<=50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Bachelors,13.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -50, Private, Prof-school,15.0, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0.0,1590.0,25.0, China,<=50K -24, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Federal-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -35, Self-emp-not-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,37.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -40, Self-emp-not-inc, Some-college,10.0, Divorced, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,3908.0,0.0,50.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -47, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -37, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -39, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -24, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, Germany,<=50K -31, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,30.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,37.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, Ecuador,>50K -67, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,18.0, United-States,<=50K -47, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,35.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Other, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, State-gov, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,23.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Local-gov, Some-college,10.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -46, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -90, Federal-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,99.0, United-States,<=50K -45, Local-gov, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Thailand,<=50K -41, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1902.0,72.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -53, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -38, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,21.0, United-States,>50K -43, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2002.0,44.0, United-States,<=50K -53, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, Germany,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -67, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -31, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-inc, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -52, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,57.0, United-States,>50K -43, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,35.0, United-States,>50K -36, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, State-gov, Masters,14.0, Never-married, Protective-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,39.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, Portugal,<=50K -43, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Married-civ-spouse, Other-service, Other-relative, White, Female,0.0,0.0,30.0, United-States,<=50K -34, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -56, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,1887.0,80.0, United-States,>50K -44, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -45, State-gov, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Local-gov, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -27, Private, 7th-8th,4.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -65, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, Mexico,<=50K -20, Private, HS-grad,9.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -55, Self-emp-inc, HS-grad,9.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,43.0, United-States,>50K -23, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,3674.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3908.0,0.0,40.0, Dominican-Republic,<=50K -68, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -53, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,1848.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Male,0.0,1876.0,38.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Separated, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Thailand,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -22, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -60, Private, HS-grad,9.0, Divorced, Sales, Other-relative, White, Female,0.0,0.0,33.0, United-States,<=50K -50, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -58, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3137.0,0.0,16.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -47, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,1974.0,50.0, United-States,<=50K -38, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -67, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,4931.0,0.0,30.0, United-States,<=50K -76, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,6514.0,0.0,40.0, United-States,>50K -41, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -57, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, Other, Female,0.0,1977.0,40.0, United-States,>50K -30, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,2202.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -40, Self-emp-inc, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,20.0, United-States,>50K -73, Private, Bachelors,13.0, Divorced, Farming-fishing, Other-relative, White, Female,0.0,0.0,12.0, United-States,<=50K -23, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,2407.0,0.0,6.0, Canada,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, Nicaragua,<=50K -46, Private, Masters,14.0, Never-married, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-inc, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,16.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -38, Self-emp-not-inc, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -62, Private, Doctorate,16.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -30, State-gov, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 11th,7.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,36.0, United-States,<=50K -37, Local-gov, HS-grad,9.0, Separated, Protective-serv, Not-in-family, White, Male,0.0,1980.0,35.0, United-States,<=50K -56, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Canada,<=50K -63, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, Peru,<=50K -40, Self-emp-not-inc, HS-grad,9.0, Separated, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, 10th,6.0, Never-married, Farming-fishing, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,2463.0,0.0,15.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -21, Self-emp-not-inc, 9th,5.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -53, Private, 9th,5.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,5013.0,0.0,40.0, United-States,<=50K -71, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Ecuador,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -56, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -51, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,28.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -49, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -31, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,2002.0,70.0, United-States,<=50K -53, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Male,0.0,1380.0,40.0, United-States,<=50K -35, State-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -37, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -55, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,70.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -43, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,38.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,3325.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,>50K -21, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,38.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-spouse-absent, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -45, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, Bachelors,13.0, Widowed, Other-service, Own-child, White, Male,0.0,1974.0,50.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Self-emp-inc, Bachelors,13.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,1564.0,60.0, United-States,>50K -24, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, France,>50K -51, Local-gov, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -29, Self-emp-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -34, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024.0,0.0,45.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2580.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,7298.0,0.0,35.0, United-States,>50K -39, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2105.0,0.0,40.0, United-States,<=50K -41, Federal-gov, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,1980.0,40.0, United-States,<=50K -42, Private, 9th,5.0, Never-married, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, Mexico,<=50K -36, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -37, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Local-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, China,>50K -52, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,37.0, Honduras,<=50K -30, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -38, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -19, Self-emp-inc, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,4508.0,0.0,35.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Assoc-voc,11.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -36, Local-gov, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -66, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, Columbia,<=50K -46, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,99.0, United-States,>50K -38, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -43, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, Japan,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Wife, Black, Female,0.0,0.0,35.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,23.0, United-States,<=50K -43, Private, HS-grad,9.0, Widowed, Transport-moving, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -55, Local-gov, Masters,14.0, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -36, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386.0,0.0,50.0, United-States,>50K -73, Self-emp-not-inc, 7th-8th,4.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,99.0, United-States,<=50K -29, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -57, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -32, Private, Assoc-voc,11.0, Separated, Tech-support, Own-child, White, Male,0.0,1590.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -51, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2002.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,48.0, United-States,<=50K -68, Self-emp-not-inc, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -73, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 7th-8th,4.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -35, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -51, Private, Masters,14.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,18.0, United-States,>50K -51, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -50, State-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, Poland,>50K -47, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,1887.0,40.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,0.0,38.0, Philippines,<=50K -41, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,50.0, United-States,>50K -45, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, India,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1672.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -32, State-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -36, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -33, Federal-gov, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,34.0, Germany,<=50K -51, Private, Some-college,10.0, Married-spouse-absent, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,2001.0,32.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Farming-fishing, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, State-gov, HS-grad,9.0, Never-married, Protective-serv, Own-child, White, Male,0.0,1980.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Laos,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -76, Self-emp-not-inc, Some-college,10.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,65.0, United-States,>50K -59, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Local-gov, Assoc-acdm,12.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -53, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -57, Self-emp-not-inc, 7th-8th,4.0, Widowed, Farming-fishing, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -35, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,50.0, United-States,>50K -40, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,60.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -24, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,48.0, United-States,<=50K -52, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,4416.0,0.0,53.0, United-States,<=50K -68, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -53, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,2174.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, 11th,7.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Outlying-US(Guam-USVI-etc),>50K -42, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,37.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,15024.0,0.0,40.0, United-States,>50K -46, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,>50K -48, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -48, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -44, Self-emp-not-inc, Some-college,10.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0.0,0.0,80.0, France,<=50K -74, Self-emp-not-inc, 12th,8.0, Married-civ-spouse, Other-service, Husband, White, Male,1409.0,0.0,20.0, Canada,<=50K -24, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -43, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,55.0, United-States,>50K -48, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,48.0, United-States,<=50K -35, State-gov, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Federal-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,43.0, United-States,<=50K -53, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,4064.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,22.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -44, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -22, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, England,<=50K -60, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -49, Private, Some-college,10.0, Never-married, Priv-house-serv, Not-in-family, Black, Female,0.0,0.0,90.0, Jamaica,<=50K -41, Private, Some-college,10.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -24, State-gov, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-inc, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,41.0, United-States,<=50K -49, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -64, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -50, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, Mexico,<=50K -30, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, 12th,8.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -48, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -53, Self-emp-not-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -55, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, 10th,6.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -29, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -28, Self-emp-not-inc, Masters,14.0, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,54.0, South,<=50K -49, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,35.0, United-States,<=50K -51, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,8.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, HS-grad,9.0, Divorced, Farming-fishing, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -37, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -62, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Prof-school,15.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -42, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -65, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024.0,0.0,40.0, Philippines,>50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,8.0, United-States,<=50K -44, Federal-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,60.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -47, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,28.0, Taiwan,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, Poland,<=50K -39, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,8614.0,0.0,40.0, United-States,>50K -24, Private, 10th,6.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -65, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Other-relative, Amer-Indian-Eskimo, Female,0.0,0.0,78.0, United-States,<=50K -45, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,56.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,50.0, United-States,>50K -61, State-gov, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,36.0, United-States,<=50K -40, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -49, Local-gov, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Masters,14.0, Divorced, Sales, Not-in-family, White, Male,27828.0,0.0,40.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Own-child, White, Female,0.0,1902.0,40.0, United-States,>50K -40, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,2559.0,55.0, United-States,>50K -46, Private, Masters,14.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -49, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -64, Without-pay, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, Haiti,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,37.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Some-college,10.0, Divorced, Protective-serv, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -68, State-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,52.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -69, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -38, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -59, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, 11th,7.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -31, Private, Bachelors,13.0, Widowed, Prof-specialty, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -48, Private, 1st-4th,2.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,52.0, Dominican-Republic,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -40, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -70, Local-gov, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, 11th,7.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1672.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Wife, White, Female,4386.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -47, State-gov, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -39, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,84.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, State-gov, HS-grad,9.0, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -71, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,1455.0,0.0,3.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -38, Private, 12th,8.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -85, Private, Masters,14.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,5.0, United-States,<=50K -53, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Federal-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3464.0,0.0,34.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -73, Local-gov, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -23, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -57, Self-emp-not-inc, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,60.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 7th-8th,4.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,2174.0,0.0,40.0, United-States,<=50K -90, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,35.0, Philippines,<=50K -34, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Craft-repair, Own-child, Other, Female,0.0,0.0,35.0, El-Salvador,<=50K -21, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, 5th-6th,3.0, Separated, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,80.0, United-States,<=50K -48, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,99999.0,0.0,60.0, United-States,>50K -52, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024.0,0.0,40.0, Italy,>50K -17, Private, 11th,7.0, Never-married, Protective-serv, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,21.0, United-States,<=50K -58, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -46, Private, 10th,6.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, Portugal,<=50K -28, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,55.0, United-States,>50K -35, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -29, Federal-gov, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,44.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -81, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -50, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -18, Self-emp-inc, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -38, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, 9th,5.0, Widowed, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -46, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -63, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -69, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,28.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,80.0, United-States,>50K -33, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -81, Private, Prof-school,15.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -71, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,28.0, United-States,<=50K -26, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,32.0, United-States,>50K -26, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,70.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Not-in-family, Other, Male,0.0,0.0,25.0, United-States,<=50K -43, State-gov, Some-college,10.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,37.0, United-States,<=50K -46, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,4787.0,0.0,60.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, 9th,5.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,60.0, India,<=50K -44, Private, Some-college,10.0, Divorced, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -43, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,2002.0,38.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -34, Federal-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,4650.0,0.0,32.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -27, Private, Some-college,10.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,37.0, United-States,<=50K -33, Private, 10th,6.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -49, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,1726.0,40.0, United-States,<=50K -56, State-gov, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,18.0, United-States,<=50K -65, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1485.0,50.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,30.0, United-States,<=50K -39, Private, 11th,7.0, Divorced, Farming-fishing, Unmarried, White, Male,0.0,0.0,1.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -26, Private, Assoc-voc,11.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, 10th,6.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -31, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -56, Federal-gov, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -73, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -28, Private, Assoc-voc,11.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,40.0, Cambodia,<=50K -41, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1848.0,50.0, United-States,>50K -37, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Female,14344.0,0.0,48.0, United-States,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -72, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, Canada,>50K -54, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,30.0, Vietnam,<=50K -49, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,36.0, Mexico,<=50K -51, Federal-gov, Some-college,10.0, Separated, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,>50K -40, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,1340.0,40.0, United-States,<=50K -29, State-gov, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, Germany,<=50K -26, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2635.0,0.0,35.0, Mexico,<=50K -59, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -22, State-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -52, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -39, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,47.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Self-emp-not-inc, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,1590.0,60.0, United-States,<=50K -48, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -29, Private, Assoc-voc,11.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, 1st-4th,2.0, Never-married, Machine-op-inspct, Other-relative, White, Female,0.0,0.0,40.0, Mexico,<=50K -23, State-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,20.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,1741.0,70.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Federal-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,32.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Tech-support, Own-child, Other, Female,0.0,0.0,32.0, Jamaica,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Divorced, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Divorced, Machine-op-inspct, Other-relative, White, Male,0.0,2258.0,50.0, Dominican-Republic,<=50K -31, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Masters,14.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,1669.0,50.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Federal-gov, Some-college,10.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,25.0, United-States,<=50K -49, Self-emp-inc, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,27828.0,0.0,35.0, United-States,>50K -59, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, 7th-8th,4.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Cuba,<=50K -20, Self-emp-inc, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,2001.0,40.0, Cuba,<=50K -40, State-gov, Masters,14.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Local-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -61, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -32, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -25, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,36.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -65, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,1590.0,44.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -23, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,2597.0,0.0,45.0, United-States,<=50K -58, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -32, State-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -29, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0.0,0.0,45.0, United-States,>50K -61, Private, HS-grad,9.0, Divorced, Other-service, Other-relative, White, Female,0.0,0.0,99.0, United-States,<=50K -43, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -45, Federal-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -62, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -46, State-gov, Assoc-voc,11.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -42, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,1902.0,42.0, United-States,>50K -45, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -73, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,25124.0,0.0,20.0, United-States,>50K -19, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, Black, Female,13550.0,0.0,70.0, United-States,>50K -32, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -46, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Prof-school,15.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Female,114.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,50.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -36, Self-emp-inc, Some-college,10.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688.0,0.0,42.0, United-States,>50K -23, Private, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Some-college,10.0, Widowed, Farming-fishing, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Female,8614.0,0.0,50.0, United-States,>50K -18, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,22.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Unmarried, Black, Female,7443.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -62, State-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, HS-grad,9.0, Widowed, Tech-support, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -45, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -29, Private, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -21, State-gov, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, 11th,7.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 11th,7.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -37, State-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -63, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -64, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1421.0,35.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-spouse-absent, Transport-moving, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Married-spouse-absent, Sales, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Local-gov, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, 7th-8th,4.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Farming-fishing, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, Haiti,<=50K -64, Self-emp-not-inc, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -74, Local-gov, 7th-8th,4.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, State-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -80, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,54.0, United-States,>50K -28, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -77, Local-gov, 7th-8th,4.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -68, Private, HS-grad,9.0, Divorced, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,24.0, United-States,<=50K -51, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Mexico,<=50K -43, Private, 12th,8.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -42, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, 11th,7.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -56, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,1719.0,40.0, United-States,<=50K -23, Federal-gov, 11th,7.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Separated, Tech-support, Other-relative, Black, Female,4101.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -48, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -56, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -42, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,35.0, Trinadad&Tobago,<=50K -52, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Male,0.0,3770.0,40.0, United-States,<=50K -55, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Own-child, White, Male,2580.0,0.0,30.0, United-States,<=50K -35, State-gov, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,99.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, 11th,7.0, Widowed, Transport-moving, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,80.0, United-States,<=50K -46, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-spouse-absent, Priv-house-serv, Not-in-family, Black, Female,0.0,0.0,36.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,3103.0,0.0,40.0, United-States,>50K -35, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0.0,0.0,40.0, United-States,>50K -52, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,8.0, United-States,<=50K -33, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-inc, Assoc-voc,11.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,8614.0,0.0,50.0, United-States,>50K -39, Private, HS-grad,9.0, Separated, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, Black, Female,0.0,0.0,55.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,35.0, United-States,<=50K -59, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,48.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -65, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,14.0, United-States,<=50K -58, Private, 11th,7.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -49, Private, Masters,14.0, Divorced, Sales, Unmarried, Other, Female,0.0,0.0,20.0, Peru,<=50K -44, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Self-emp-not-inc, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -37, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,54.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Masters,14.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -49, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Local-gov, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, State-gov, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, State-gov, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -40, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -62, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 1st-4th,2.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -68, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,19.0, United-States,<=50K -30, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,37.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, France,<=50K -46, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Cuba,<=50K -67, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,24.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,8614.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -51, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,25.0, United-States,<=50K -27, Private, HS-grad,9.0, Separated, Handlers-cleaners, Own-child, White, Female,0.0,1594.0,25.0, United-States,<=50K -48, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Local-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -31, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,213.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,44.0, United-States,<=50K -69, Private, 7th-8th,4.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -35, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -62, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, Ecuador,<=50K -26, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,62.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, 12th,8.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -43, Self-emp-inc, HS-grad,9.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -56, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,19.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,99999.0,0.0,75.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -18, Self-emp-not-inc, 9th,5.0, Never-married, Farming-fishing, Other-relative, Other, Female,0.0,0.0,40.0, Mexico,<=50K -24, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,20.0, France,<=50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,41.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,60.0, China,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Federal-gov, 10th,6.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,1380.0,50.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -36, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,46.0, United-States,>50K -51, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, Mexico,<=50K -43, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -68, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,23.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Italy,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -65, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-not-inc, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,13550.0,0.0,60.0, United-States,>50K -29, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298.0,0.0,60.0, United-States,>50K -39, Private, Assoc-voc,11.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,3004.0,40.0, United-States,>50K -64, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,12.0, United-States,<=50K -48, Federal-gov, HS-grad,9.0, Divorced, Farming-fishing, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Ecuador,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Separated, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -62, Private, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -40, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -32, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -31, Private, Some-college,10.0, Separated, Sales, Not-in-family, White, Male,2174.0,0.0,52.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, Black, Male,4064.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,47.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -56, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,36.0, United-States,>50K -27, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -58, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, Black, Female,0.0,0.0,45.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,37.0, United-States,<=50K -28, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,15024.0,0.0,65.0, United-States,>50K -34, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Local-gov, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -48, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,2231.0,30.0, United-States,>50K -37, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -36, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,45.0, Puerto-Rico,<=50K -70, Private, 10th,6.0, Widowed, Adm-clerical, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -23, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,37.0, United-States,>50K -64, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -31, Private, Some-college,10.0, Divorced, Tech-support, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -52, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,18.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,47.0, United-States,>50K -35, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0.0,1669.0,45.0, United-States,<=50K -66, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, Cuba,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -27, Private, 1st-4th,2.0, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, Mexico,<=50K -41, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,99.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -59, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -52, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -40, Private, 12th,8.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -53, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Other-relative, Black, Female,0.0,2001.0,40.0, United-States,<=50K -27, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,37.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, Bachelors,13.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -60, Private, 5th-6th,3.0, Separated, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -50, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -52, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,49.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -43, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -55, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,38.0, Cuba,<=50K -61, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -73, Private, Some-college,10.0, Widowed, Sales, Not-in-family, White, Female,2538.0,0.0,20.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,1628.0,50.0, United-States,<=50K -63, Local-gov, Some-college,10.0, Divorced, Protective-serv, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -41, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -62, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -67, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,36.0, United-States,>50K -49, Private, Some-college,10.0, Divorced, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, Germany,<=50K -62, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -39, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -52, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,51.0, United-States,<=50K -54, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -53, Local-gov, HS-grad,9.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, Self-emp-not-inc, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -25, State-gov, Bachelors,13.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, State-gov, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,11.0, United-States,<=50K -46, Self-emp-not-inc, Bachelors,13.0, Never-married, Farming-fishing, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,35.0, United-States,<=50K -29, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,2377.0,50.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,88.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, State-gov, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,1564.0,40.0, United-States,>50K -21, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, Assoc-acdm,12.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,32.0, United-States,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -49, Private, Assoc-acdm,12.0, Separated, Sales, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,1564.0,50.0, United-States,>50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,44.0, United-States,>50K -25, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -57, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -25, Private, 5th-6th,3.0, Divorced, Other-service, Unmarried, Other, Female,0.0,0.0,20.0, Honduras,<=50K -61, Local-gov, HS-grad,9.0, Widowed, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,15.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, State-gov, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,1092.0,40.0, United-States,<=50K -30, Self-emp-not-inc, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, Puerto-Rico,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -55, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0.0,0.0,25.0, Iran,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -63, Private, 12th,8.0, Widowed, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -37, Private, 7th-8th,4.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,56.0, United-States,<=50K -32, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -64, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,45.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,49.0, United-States,<=50K -53, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Separated, Adm-clerical, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -47, Private, 7th-8th,4.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -40, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -59, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,4865.0,0.0,40.0, United-States,<=50K -37, Private, 9th,5.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -59, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -25, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 9th,5.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -30, State-gov, Masters,14.0, Separated, Craft-repair, Not-in-family, White, Male,99999.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,28.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -60, Private, 12th,8.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0.0,2258.0,50.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -65, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,15.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -78, Local-gov, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,5.0, United-States,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, Self-emp-inc, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, Ireland,<=50K -28, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 9th,5.0, Never-married, Farming-fishing, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -57, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Local-gov, Doctorate,16.0, Never-married, Prof-specialty, Unmarried, Black, Female,0.0,0.0,15.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Self-emp-inc, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -32, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,48.0, United-States,>50K -66, Private, 10th,6.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -48, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -24, Private, 9th,5.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -31, Private, HS-grad,9.0, Separated, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -38, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -57, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-inc, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -34, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Federal-gov, Assoc-acdm,12.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -63, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -33, Federal-gov, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -67, Self-emp-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051.0,0.0,60.0, Italy,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -31, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,2042.0,40.0, Mexico,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -45, Self-emp-not-inc, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -66, State-gov, 7th-8th,4.0, Widowed, Other-service, Not-in-family, Black, Female,2964.0,0.0,40.0, United-States,<=50K -58, Local-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -40, Private, Masters,14.0, Widowed, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,50.0, United-States,<=50K -42, State-gov, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,35.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -37, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1887.0,15.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, 1st-4th,2.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, Assoc-voc,11.0, Never-married, Protective-serv, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,50.0, United-States,<=50K -49, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,7688.0,0.0,35.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -42, Federal-gov, Bachelors,13.0, Never-married, Tech-support, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Federal-gov, Bachelors,13.0, Separated, Tech-support, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -35, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4508.0,0.0,8.0, Yugoslavia,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Masters,14.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,70.0, United-States,>50K -79, Private, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -33, Private, Doctorate,16.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Japan,<=50K -36, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -46, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,6.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,55.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -46, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -32, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,10520.0,0.0,50.0, United-States,>50K -63, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -21, Private, 11th,7.0, Separated, Sales, Not-in-family, Other, Female,0.0,0.0,30.0, Mexico,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,99999.0,0.0,36.0, United-States,>50K -52, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,1564.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, Italy,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -66, Private, 7th-8th,4.0, Married-spouse-absent, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -47, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, Greece,<=50K -26, Private, Some-college,10.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,1485.0,38.0, United-States,>50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -58, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -49, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,>50K -59, Private, 10th,6.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Male,5721.0,0.0,40.0, Philippines,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -46, Private, 1st-4th,2.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Local-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Sales, Unmarried, Black, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Guatemala,<=50K -34, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Female,3325.0,0.0,40.0, United-States,<=50K -71, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,34.0, United-States,>50K -56, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -40, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,36.0, United-States,>50K -35, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,3.0, United-States,<=50K -35, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Self-emp-not-inc, Bachelors,13.0, Separated, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Doctorate,16.0, Widowed, Prof-specialty, Not-in-family, White, Female,10520.0,0.0,60.0, United-States,>50K -46, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,15.0, United-States,<=50K -23, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -57, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -60, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,72.0, Canada,<=50K -51, State-gov, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -50, Private, Some-college,10.0, Married-spouse-absent, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,914.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,54.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,17.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, Prof-school,15.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -48, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,55.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, State-gov, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,3411.0,0.0,40.0, United-States,<=50K -53, Federal-gov, Prof-school,15.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -37, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -70, Private, HS-grad,9.0, Widowed, Priv-house-serv, Other-relative, Black, Female,0.0,0.0,8.0, United-States,<=50K -54, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1887.0,50.0, United-States,>50K -67, Local-gov, Some-college,10.0, Widowed, Other-service, Not-in-family, White, Female,2964.0,0.0,41.0, United-States,<=50K -34, Federal-gov, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,60.0, United-States,>50K -26, Private, 11th,7.0, Separated, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,72.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2042.0,40.0, Columbia,<=50K -25, Self-emp-inc, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,30.0, United-States,<=50K -81, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,25.0, Portugal,<=50K -35, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,4.0, United-States,<=50K -40, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,90.0, United-States,>50K -45, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,48.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -38, State-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,50.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -58, Private, 5th-6th,3.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,3464.0,0.0,80.0, United-States,<=50K -45, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -38, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Separated, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,85.0, United-States,>50K -37, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1902.0,45.0, United-States,>50K -57, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,15024.0,0.0,45.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -64, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Masters,14.0, Married-spouse-absent, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,35.0, India,>50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Federal-gov, HS-grad,9.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -72, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,47.0, United-States,<=50K -52, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -57, State-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7688.0,0.0,75.0, United-States,>50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -21, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -54, Local-gov, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -29, State-gov, 10th,6.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,7688.0,0.0,40.0, Greece,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, 12th,8.0, Widowed, Machine-op-inspct, Not-in-family, White, Male,0.0,1564.0,40.0, United-States,>50K -24, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -43, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -64, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -53, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, State-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Assoc-acdm,12.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -25, Private, HS-grad,9.0, Never-married, Protective-serv, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Sales, Unmarried, Black, Female,0.0,1138.0,40.0, Honduras,<=50K -69, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -57, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -58, Local-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -36, Local-gov, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -39, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3464.0,0.0,40.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, 10th,6.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, Portugal,<=50K -32, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,16.0, United-States,<=50K -23, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,7.0, United-States,<=50K -70, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051.0,0.0,35.0, United-States,>50K -20, State-gov, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,16.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,34.0, United-States,<=50K -33, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, 12th,8.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -44, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, 5th-6th,3.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, Mexico,<=50K -49, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -66, Self-emp-not-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,401.0,0.0,20.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,33.0, United-States,<=50K -31, Private, 11th,7.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -75, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Female,15831.0,0.0,50.0, United-States,>50K -66, Self-emp-not-inc, 11th,7.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,84.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Separated, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,68.0, United-States,>50K -29, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -66, Private, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,1173.0,0.0,12.0, United-States,<=50K -51, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -26, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -48, Private, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -42, Local-gov, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -50, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,594.0,0.0,35.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Italy,>50K -63, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, Black, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,48.0, United-States,>50K -62, Private, 7th-8th,4.0, Widowed, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Federal-gov, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -67, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -48, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -80, Local-gov, 1st-4th,2.0, Widowed, Farming-fishing, Not-in-family, Asian-Pac-Islander, Male,1086.0,0.0,20.0, Philippines,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Private, 9th,5.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, State-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -35, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -62, Self-emp-not-inc, Masters,14.0, Separated, Farming-fishing, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -49, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,7.0, United-States,>50K -52, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Outlying-US(Guam-USVI-etc),<=50K -21, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Wife, White, Female,0.0,0.0,48.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -71, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,4.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, Nicaragua,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -19, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Local-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,41.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -46, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, State-gov, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,38.0, Poland,<=50K -30, Private, 9th,5.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 9th,5.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -45, Private, Doctorate,16.0, Divorced, Sales, Not-in-family, White, Male,99999.0,0.0,55.0, United-States,>50K -24, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Masters,14.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,2258.0,50.0, United-States,>50K -38, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,18.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,30.0, Hong,<=50K -50, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -33, Local-gov, HS-grad,9.0, Divorced, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Local-gov, 12th,8.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,15.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,28.0, United-States,<=50K -66, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, England,>50K -71, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,3.0, United-States,<=50K -39, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -56, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, England,>50K -60, Private, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, Germany,>50K -42, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,2238.0,40.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,70.0, United-States,>50K -43, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,1669.0,45.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Separated, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Assoc-voc,11.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Some-college,10.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,10.0, United-States,>50K -30, Local-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -28, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,40.0, Ireland,<=50K -68, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,37.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,2129.0,65.0, United-States,<=50K -55, Private, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,55.0, England,>50K -60, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,8.0, United-States,>50K -44, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -35, Local-gov, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-inc, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -54, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,98.0, United-States,<=50K -21, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,19.0, United-States,<=50K -53, State-gov, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, 10th,6.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,15.0, Ecuador,<=50K -56, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Bachelors,13.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,80.0, United-States,>50K -35, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Priv-house-serv, Other-relative, White, Female,0.0,0.0,35.0, Mexico,<=50K -49, Self-emp-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,47.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,99.0, United-States,<=50K -21, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -43, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,50.0, Taiwan,<=50K -41, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -36, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,10.0, Mexico,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -71, Self-emp-inc, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -36, Private, 5th-6th,3.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, Haiti,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,2002.0,43.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -53, State-gov, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, 10th,6.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -26, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,>50K -29, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Divorced, Tech-support, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -39, Private, Some-college,10.0, Separated, Craft-repair, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -38, Local-gov, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -30, Private, 11th,7.0, Never-married, Protective-serv, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -53, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,3411.0,0.0,65.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,48.0, United-States,>50K -43, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -44, Private, 11th,7.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -88, Self-emp-not-inc, 7th-8th,4.0, Widowed, Farming-fishing, Not-in-family, White, Male,0.0,0.0,5.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -35, Local-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,55.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, HS-grad,9.0, Never-married, Transport-moving, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, Mexico,<=50K -27, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Local-gov, Some-college,10.0, Separated, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -87, Private, HS-grad,9.0, Married-spouse-absent, Sales, Not-in-family, White, Male,0.0,0.0,16.0, United-States,<=50K -54, Private, Masters,14.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -43, Private, 5th-6th,3.0, Married-spouse-absent, Priv-house-serv, Other-relative, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -43, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,3908.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,35.0, United-States,<=50K -65, Private, Some-college,10.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,22.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,48.0, United-States,>50K -31, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Prof-school,15.0, Never-married, Prof-specialty, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, State-gov, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Federal-gov, Masters,14.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,7688.0,0.0,40.0, China,>50K -37, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -39, Private, 10th,6.0, Separated, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,4.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -38, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Female,0.0,1726.0,40.0, United-States,<=50K -67, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -57, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -35, Private, 10th,6.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -39, State-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,2824.0,50.0, United-States,>50K -32, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,1564.0,50.0, United-States,>50K -32, Local-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -51, Federal-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -52, Private, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -33, Private, HS-grad,9.0, Divorced, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -32, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,7298.0,0.0,40.0, Japan,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -45, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,1740.0,40.0, Laos,<=50K -54, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -20, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Federal-gov, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 10th,6.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -33, Private, 9th,5.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,15.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -66, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, Black, Female,0.0,0.0,24.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,24.0, United-States,<=50K -50, Private, Preschool,1.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -56, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -68, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -67, Private, Some-college,10.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,18.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,38.0, Mexico,<=50K -47, Local-gov, 11th,7.0, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -36, Private, HS-grad,9.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -49, State-gov, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -46, Private, Bachelors,13.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -42, Self-emp-not-inc, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,70.0, United-States,<=50K -46, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -29, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,36.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,36.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -58, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -37, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, Mexico,<=50K -24, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, 9th,5.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,4386.0,0.0,48.0, United-States,>50K -33, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Protective-serv, Other-relative, White, Male,0.0,0.0,45.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -29, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, State-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,1887.0,40.0, United-States,>50K -45, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -58, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,26.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, 11th,7.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -20, Local-gov, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -55, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, 11th,7.0, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,35.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -28, Private, Some-college,10.0, Separated, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -34, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -26, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Greece,<=50K -38, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -35, Federal-gov, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1485.0,40.0, United-States,>50K -49, Self-emp-inc, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Prof-school,15.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,48.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-inc, Some-college,10.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,70.0, United-States,<=50K -33, Federal-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Divorced, Sales, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Self-emp-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -18, Federal-gov, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -69, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,20051.0,0.0,15.0, United-States,>50K -54, Private, Some-college,10.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,1977.0,40.0, Philippines,>50K -40, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,625.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,44.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,56.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,35.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,45.0, United-States,<=50K -62, Private, 11th,7.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,99999.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -58, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1672.0,50.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, 7th-8th,4.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -48, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,37.0, Ireland,>50K -33, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,42.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,44.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,1055.0,0.0,15.0, United-States,<=50K -31, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Outlying-US(Guam-USVI-etc),<=50K -59, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,2202.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,1719.0,20.0, United-States,<=50K -42, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -26, Local-gov, Bachelors,13.0, Never-married, Protective-serv, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Local-gov, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -76, Local-gov, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,1668.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,25.0, United-States,<=50K -60, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,7298.0,0.0,38.0, United-States,>50K -26, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,1.0, Japan,<=50K -24, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -58, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -29, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Federal-gov, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-inc, 5th-6th,3.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,99999.0,0.0,40.0, China,>50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,37.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -68, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Local-gov, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -42, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -60, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -74, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,14.0, United-States,<=50K -38, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -43, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1848.0,46.0, United-States,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, State-gov, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Poland,<=50K -35, Private, 11th,7.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Self-emp-not-inc, Masters,14.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,50.0, United-States,>50K -51, Local-gov, Some-college,10.0, Divorced, Protective-serv, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, State-gov, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -54, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -62, Federal-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, 10th,6.0, Widowed, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,30.0, Columbia,<=50K -66, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -37, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -17, Self-emp-not-inc, 11th,7.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,4.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3942.0,0.0,32.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -51, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -41, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,18.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -31, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,55.0, Portugal,>50K -39, Private, Bachelors,13.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -30, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -56, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,15024.0,0.0,40.0, Hong,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,1848.0,42.0, United-States,>50K -41, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -57, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -34, Self-emp-not-inc, HS-grad,9.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,45.0, United-States,<=50K -49, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, Private, Some-college,10.0, Widowed, Transport-moving, Not-in-family, White, Male,0.0,0.0,28.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -64, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, Mexico,>50K -47, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,45.0, United-States,>50K -23, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -47, Private, 10th,6.0, Divorced, Tech-support, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -43, Self-emp-inc, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -47, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -36, Private, 10th,6.0, Separated, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -72, Self-emp-not-inc, Bachelors,13.0, Widowed, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -34, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,14.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, Some-college,10.0, Married-spouse-absent, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -34, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,10.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -27, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,32.0, United-States,<=50K -61, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, Philippines,<=50K -41, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,21.0, United-States,>50K -46, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -45, Federal-gov, Assoc-voc,11.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,48.0, United-States,<=50K -70, Local-gov, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -46, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, Black, Female,0.0,0.0,30.0, Haiti,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -51, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,55.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -51, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Private, HS-grad,9.0, Divorced, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,24.0, United-States,<=50K -39, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -30, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -44, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -28, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, 1st-4th,2.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, Mexico,<=50K -43, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Masters,14.0, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Taiwan,<=50K -25, Private, 9th,5.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -21, Private, 12th,8.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,594.0,0.0,35.0, United-States,<=50K -21, Private, 12th,8.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Never-married, Sales, Unmarried, White, Female,4687.0,0.0,50.0, United-States,>50K -38, Federal-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -24, Private, Assoc-voc,11.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -54, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,1602.0,20.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Federal-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,55.0, Jamaica,>50K -64, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Sales, Own-child, Other, Female,0.0,0.0,11.0, Mexico,<=50K -40, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -47, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,22.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, 12th,8.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -36, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -41, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,44.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Assoc-acdm,12.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, Philippines,<=50K -40, Private, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Male,13550.0,0.0,50.0, United-States,>50K -25, Private, 1st-4th,2.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -50, Without-pay, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,0.0,1887.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -62, State-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -37, Self-emp-not-inc, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,2977.0,0.0,65.0, United-States,<=50K -58, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,40.0, Italy,<=50K -56, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,1741.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,1602.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,37.0, United-States,<=50K -45, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -20, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,38.0, Japan,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Male,0.0,0.0,48.0, United-States,<=50K -40, Private, 9th,5.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -60, Private, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,65.0, United-States,<=50K -40, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,40.0, United-States,>50K -62, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 10th,6.0, Divorced, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -49, Private, Some-college,10.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,42.0, Italy,>50K -37, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -38, Private, Assoc-acdm,12.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -37, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,1726.0,50.0, United-States,<=50K -62, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -56, Local-gov, 5th-6th,3.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,35.0, Dominican-Republic,<=50K -29, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -56, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -52, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -28, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,38.0, United-States,<=50K -46, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -43, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -43, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -64, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,5178.0,0.0,40.0, United-States,>50K -41, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,61.0, United-States,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386.0,0.0,45.0, United-States,>50K -34, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -47, Private, Preschool,1.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, El-Salvador,<=50K -21, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Female,0.0,1762.0,40.0, United-States,<=50K -42, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1579.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0.0,0.0,41.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1740.0,60.0, United-States,<=50K -48, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0.0,0.0,30.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,9.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -90, Local-gov, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,11678.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -33, Self-emp-not-inc, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,8.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -38, Private, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, Mexico,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -52, Federal-gov, 10th,6.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Male,7430.0,0.0,40.0, United-States,>50K -34, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -39, State-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,55.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,18.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,4787.0,0.0,40.0, United-States,>50K -27, Private, 11th,7.0, Divorced, Craft-repair, Unmarried, Other, Male,0.0,0.0,35.0, United-States,<=50K -48, Private, Some-college,10.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -59, Local-gov, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0.0,2051.0,32.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,55.0, El-Salvador,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,36.0, United-States,<=50K -42, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -68, Local-gov, 10th,6.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,20.0, United-States,<=50K -51, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -36, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -70, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -53, Private, Preschool,1.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,15.0, El-Salvador,<=50K -31, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -25, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -41, Private, 10th,6.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -72, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,2653.0,0.0,42.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,55.0, United-States,>50K -34, Private, HS-grad,9.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,29.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -44, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -46, Private, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, Black, Female,0.0,1876.0,40.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -43, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,96.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, Black, Male,0.0,0.0,55.0, United-States,>50K -38, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -56, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,30.0, United-States,>50K -28, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,50.0, United-States,>50K -72, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, State-gov, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -41, Private, Some-college,10.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,52.0, United-States,<=50K -34, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,2202.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, State-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,10520.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -78, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,12.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -42, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,38.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -30, State-gov, Masters,14.0, Never-married, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,45.0, Philippines,<=50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -25, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1902.0,40.0, Mexico,>50K -45, Private, 11th,7.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -44, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -41, Private, 10th,6.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,33.0, United-States,<=50K -43, Private, 1st-4th,2.0, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0.0,0.0,28.0, Mexico,<=50K -76, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,12.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -55, Private, 9th,5.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,10520.0,0.0,60.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Self-emp-not-inc, 5th-6th,3.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,35.0, Cuba,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -54, Local-gov, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -62, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, 12th,8.0, Married-spouse-absent, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -20, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Local-gov, Assoc-acdm,12.0, Never-married, Protective-serv, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -47, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -21, Private, 5th-6th,3.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, Guatemala,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,2205.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0.0,0.0,30.0, United-States,<=50K -66, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,10605.0,0.0,40.0, United-States,>50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,15024.0,0.0,45.0, United-States,>50K -38, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Local-gov, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -53, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,48.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, 10th,6.0, Separated, Transport-moving, Unmarried, White, Female,0.0,0.0,70.0, United-States,<=50K -31, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,70.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,1719.0,33.0, United-States,<=50K -48, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -36, Private, Assoc-voc,11.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Widowed, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, Italy,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -32, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,25.0, United-States,<=50K -40, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, England,>50K -39, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, Greece,>50K -39, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Doctorate,16.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,1408.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,22.0, United-States,<=50K -44, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, China,>50K -33, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -71, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,6.0, United-States,<=50K -44, Federal-gov, Masters,14.0, Married-civ-spouse, Armed-Forces, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -38, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -30, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Philippines,<=50K -41, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Preschool,1.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -61, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,38.0, United-States,>50K -45, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,2580.0,0.0,18.0, United-States,<=50K -25, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -26, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,38.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -35, Private, Some-college,10.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -31, Private, 11th,7.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -24, Private, 11th,7.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013.0,0.0,32.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -43, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,35.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Male,4416.0,0.0,28.0, United-States,<=50K -36, Private, Masters,14.0, Separated, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -48, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,16.0, United-States,>50K -56, Private, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -65, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -48, Local-gov, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,12.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -51, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -64, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,25.0, United-States,>50K -46, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1902.0,44.0, United-States,>50K -19, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0.0,0.0,20.0, United-States,<=50K -45, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Self-emp-inc, Prof-school,15.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Divorced, Transport-moving, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 11th,7.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 5th-6th,3.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, Italy,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, 10th,6.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -64, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -65, Self-emp-not-inc, Assoc-acdm,12.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -47, Private, 12th,8.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Local-gov, HS-grad,9.0, Married-spouse-absent, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Other-relative, White, Male,0.0,0.0,45.0, Germany,<=50K -68, Private, HS-grad,9.0, Widowed, Handlers-cleaners, Other-relative, White, Female,0.0,0.0,10.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -27, Private, HS-grad,9.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -68, Private, HS-grad,9.0, Widowed, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,6.0, United-States,<=50K -55, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -49, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0.0,0.0,38.0, Japan,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Divorced, Prof-specialty, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1485.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -63, Private, 11th,7.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -30, Federal-gov, Some-college,10.0, Separated, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -22, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -72, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -28, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -36, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -40, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,16.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,60.0, England,<=50K -39, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,15.0, Poland,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,50.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -36, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,1506.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,33.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, 11th,7.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,35.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,52.0, China,<=50K -30, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,44.0, United-States,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -54, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,3103.0,0.0,40.0, United-States,>50K -32, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,3103.0,0.0,38.0, United-States,>50K -23, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,2580.0,0.0,40.0, United-States,<=50K -62, Private, 1st-4th,2.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,66.0, United-States,<=50K -48, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,26.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -63, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -73, Private, 7th-8th,4.0, Widowed, Priv-house-serv, Unmarried, Black, Female,1264.0,0.0,10.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Federal-gov, HS-grad,9.0, Divorced, Craft-repair, Unmarried, Black, Male,0.0,0.0,50.0, United-States,<=50K -52, Private, Some-college,10.0, Separated, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,24.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,25.0, Mexico,<=50K -29, Local-gov, Masters,14.0, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,1506.0,0.0,40.0, United-States,<=50K -33, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 11th,7.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -41, State-gov, HS-grad,9.0, Divorced, Protective-serv, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -50, Private, Some-college,10.0, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -69, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -30, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -29, Local-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -23, Private, 11th,7.0, Never-married, Machine-op-inspct, Unmarried, Other, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -39, Federal-gov, Some-college,10.0, Never-married, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -60, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -34, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -62, Self-emp-not-inc, Some-college,10.0, Widowed, Prof-specialty, Unmarried, White, Male,0.0,0.0,20.0, United-States,<=50K -53, Private, Some-college,10.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -29, State-gov, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -44, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -38, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -39, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -38, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -47, Private, Assoc-acdm,12.0, Widowed, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -51, Local-gov, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,52.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,45.0, Portugal,>50K -47, Private, 5th-6th,3.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,50.0, Mexico,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,48.0, United-States,>50K -17, Private, 5th-6th,3.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -33, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,10520.0,0.0,80.0, United-States,>50K -33, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -30, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-spouse-absent, Farming-fishing, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -28, State-gov, HS-grad,9.0, Separated, Other-service, Own-child, White, Female,0.0,0.0,11.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, 7th-8th,4.0, Divorced, Farming-fishing, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -33, State-gov, Doctorate,16.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -49, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3781.0,0.0,40.0, United-States,<=50K -47, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -62, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,1.0, United-States,>50K -42, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, 5th-6th,3.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,30.0, El-Salvador,<=50K -48, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,3411.0,0.0,70.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,53.0, Yugoslavia,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,28.0, United-States,<=50K -58, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,77.0, United-States,<=50K -22, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -51, Self-emp-inc, HS-grad,9.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0.0,0.0,99.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -31, Private, 10th,6.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Self-emp-inc, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1258.0,40.0, United-States,<=50K -37, Local-gov, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, State-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,1579.0,36.0, United-States,<=50K -51, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Mexico,>50K -36, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, State-gov, Doctorate,16.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-inc, Assoc-acdm,12.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,15024.0,0.0,44.0, United-States,>50K -56, Private, 11th,7.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 11th,7.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,32.0, Mexico,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, Poland,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Local-gov, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -48, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, Mexico,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,60.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,1721.0,45.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -26, Private, 12th,8.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -63, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -47, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -46, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -34, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,6849.0,0.0,70.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -48, Local-gov, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Columbia,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, Haiti,>50K -34, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -47, Private, Some-college,10.0, Separated, Transport-moving, Unmarried, White, Male,0.0,0.0,50.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,60.0, United-States,>50K -36, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, HS-grad,9.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -77, Private, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Female,0.0,1668.0,30.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, England,>50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,1902.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Priv-house-serv, Own-child, White, Female,0.0,0.0,6.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,1672.0,50.0, United-States,<=50K -45, Self-emp-inc, Some-college,10.0, Separated, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, England,>50K -26, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,43.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Some-college,10.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-inc, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -73, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -54, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,55.0, United-States,>50K -79, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -52, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -23, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Germany,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Other-relative, White, Female,0.0,0.0,16.0, United-States,<=50K -45, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -22, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,60.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, Greece,>50K -46, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -24, Private, Bachelors,13.0, Divorced, Transport-moving, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2829.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -19, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3137.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -17, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -38, Federal-gov, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,44.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,1740.0,40.0, Haiti,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -72, Private, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,6.0, United-States,<=50K -30, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -83, Self-emp-not-inc, 11th,7.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Self-emp-not-inc, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Local-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,18.0, United-States,<=50K -42, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -27, Federal-gov, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -44, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -62, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -32, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -56, State-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -64, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,30.0, Philippines,<=50K -46, Private, Some-college,10.0, Separated, Tech-support, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -52, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,48.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, 9th,5.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -39, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, Canada,>50K -41, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, Black, Female,0.0,0.0,50.0, United-States,<=50K -39, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,27828.0,0.0,55.0, United-States,>50K -20, Private, 11th,7.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,36.0, El-Salvador,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -29, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -28, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1876.0,70.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Married-AF-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -50, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -26, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -32, Private, Assoc-acdm,12.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,48.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -36, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -45, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,45.0, United-States,>50K -25, Private, Assoc-acdm,12.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -59, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,1977.0,40.0, India,>50K -31, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, 12th,8.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,1669.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,30.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -53, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Cuba,>50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, State-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,1151.0,0.0,40.0, United-States,<=50K -65, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -33, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, 10th,6.0, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, 11th,7.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -79, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,7.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,20.0, United-States,<=50K -39, State-gov, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,1590.0,40.0, United-States,<=50K -49, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,5013.0,0.0,45.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Germany,<=50K -47, Private, 11th,7.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Male,0.0,0.0,45.0, United-States,<=50K -50, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,65.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -38, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -37, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,75.0, United-States,<=50K -56, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -52, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,56.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -33, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 5th-6th,3.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -46, Self-emp-inc, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Female,8614.0,0.0,70.0, United-States,>50K -42, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -19, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -29, Private, HS-grad,9.0, Separated, Protective-serv, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -30, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -47, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -46, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, State-gov, HS-grad,9.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -46, Self-emp-not-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,99.0, United-States,>50K -50, Private, Preschool,1.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, Haiti,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -37, Private, 9th,5.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -25, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -38, Local-gov, Masters,14.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Federal-gov, Bachelors,13.0, Never-married, Tech-support, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,45.0, United-States,>50K -25, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -65, State-gov, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -72, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -25, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,38.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 5th-6th,3.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -75, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Self-emp-not-inc, 11th,7.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -74, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,12.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -53, Federal-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Canada,<=50K -55, Private, 1st-4th,2.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,17.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0.0,0.0,20.0, United-States,<=50K -27, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -38, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,52.0, United-States,>50K -41, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -39, Self-emp-not-inc, Masters,14.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,3942.0,0.0,99.0, United-States,<=50K -63, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -34, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -17, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Local-gov, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Transport-moving, Other-relative, White, Male,0.0,0.0,38.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -38, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -52, Private, 10th,6.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -68, Local-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,6418.0,0.0,35.0, United-States,>50K -55, Private, 7th-8th,4.0, Widowed, Priv-house-serv, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, 11th,7.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, Canada,>50K -42, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, Black, Female,25236.0,0.0,20.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -34, Private, 11th,7.0, Never-married, Adm-clerical, Not-in-family, White, Female,4416.0,0.0,30.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Assoc-acdm,12.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -48, Local-gov, Masters,14.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,1876.0,50.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,20.0, Philippines,<=50K -28, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Other, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, Black, Female,0.0,0.0,50.0, Jamaica,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Masters,14.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, 11th,7.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, 11th,7.0, Married-civ-spouse, Other-service, Wife, White, Female,2407.0,0.0,36.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -61, State-gov, HS-grad,9.0, Married-spouse-absent, Transport-moving, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,4650.0,0.0,50.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,52.0, United-States,>50K -42, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -48, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,52.0, United-States,<=50K -47, Private, Some-college,10.0, Separated, Machine-op-inspct, Not-in-family, White, Male,8614.0,0.0,65.0, United-States,>50K -50, Local-gov, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -57, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -53, Local-gov, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -50, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -58, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, Black, Male,15024.0,0.0,50.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Federal-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -64, Local-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -59, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1977.0,55.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,30.0, United-States,<=50K -55, Self-emp-inc, 5th-6th,3.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Cuba,<=50K -20, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, Black, Female,0.0,0.0,50.0, United-States,<=50K -41, Private, Bachelors,13.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Japan,<=50K -42, State-gov, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, Mexico,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,>50K -67, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -46, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,4650.0,0.0,44.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -42, Self-emp-inc, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-inc, Assoc-acdm,12.0, Divorced, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, HS-grad,9.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,32.0, United-States,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -28, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,37.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, 7th-8th,4.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,38.0, Mexico,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Self-emp-inc, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,5721.0,0.0,35.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -36, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,48.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,21.0, United-States,<=50K -45, Private, HS-grad,9.0, Widowed, Priv-house-serv, Own-child, Black, Female,0.0,0.0,25.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -47, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,55.0, United-States,>50K -52, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4064.0,0.0,40.0, Italy,<=50K -29, Private, Some-college,10.0, Divorced, Other-service, Own-child, White, Male,594.0,0.0,24.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -66, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,17.0, United-States,>50K -38, Private, Some-college,10.0, Separated, Machine-op-inspct, Unmarried, Black, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,65.0, United-States,>50K -73, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -45, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -18, Self-emp-not-inc, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -33, Private, 12th,8.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 12th,8.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Private, 9th,5.0, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Hong,<=50K -29, Private, HS-grad,9.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -61, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,30.0, United-States,<=50K -47, Private, Preschool,1.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,40.0, Haiti,<=50K -56, Private, HS-grad,9.0, Separated, Sales, Unmarried, Black, Female,0.0,0.0,16.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -30, Private, 10th,6.0, Separated, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -64, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,6849.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Self-emp-not-inc, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Bachelors,13.0, Widowed, Exec-managerial, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, 1st-4th,2.0, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -36, Private, 10th,6.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, State-gov, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Federal-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -58, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Separated, Sales, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, 5th-6th,3.0, Separated, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -54, Self-emp-not-inc, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -64, Private, HS-grad,9.0, Widowed, Other-service, Other-relative, White, Male,0.0,0.0,28.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -28, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,50.0, India,<=50K -58, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -52, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -69, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -48, Self-emp-not-inc, 12th,8.0, Widowed, Sales, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, South,<=50K -26, Private, Some-college,10.0, Separated, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -43, Federal-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Male,6849.0,0.0,50.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,5.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,36.0, United-States,>50K -62, Private, HS-grad,9.0, Widowed, Other-service, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -30, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,27.0, United-States,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,60.0, United-States,<=50K -27, Private, HS-grad,9.0, Separated, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Federal-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Some-college,10.0, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -67, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, Germany,<=50K -45, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -41, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -72, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -66, Self-emp-not-inc, 11th,7.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -35, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,1741.0,50.0, United-States,<=50K -37, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -65, Private, 9th,5.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,16.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, Cuba,<=50K -46, Local-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -48, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -33, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -31, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,30.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,5.0, United-States,<=50K -33, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, South,<=50K -46, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -50, State-gov, Masters,14.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -43, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -28, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -60, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Protective-serv, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Female,0.0,0.0,38.0, United-States,<=50K -69, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -44, State-gov, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -49, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -31, Federal-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,53.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,7298.0,0.0,40.0, Germany,>50K -33, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -32, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, 11th,7.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -35, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -52, Self-emp-not-inc, HS-grad,9.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -58, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,48.0, United-States,<=50K -48, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,50.0, Nicaragua,<=50K -67, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2174.0,40.0, United-States,>50K -22, Self-emp-not-inc, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -62, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,4650.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -64, Local-gov, 9th,5.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,>50K -64, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, 11th,7.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, 12th,8.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -42, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -46, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,60.0, United-States,<=50K -48, Federal-gov, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -80, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386.0,0.0,40.0, United-States,>50K -47, Local-gov, Assoc-acdm,12.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,65.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -73, Private, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,30.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,63.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, Haiti,>50K -45, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -43, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -38, Private, Doctorate,16.0, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,27828.0,0.0,60.0, China,>50K -30, Private, 11th,7.0, Never-married, Handlers-cleaners, Other-relative, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-not-inc, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Male,0.0,0.0,24.0, United-States,<=50K -30, Federal-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-inc, Bachelors,13.0, Married-spouse-absent, Sales, Unmarried, White, Female,0.0,0.0,42.0, United-States,<=50K -49, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -40, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, China,<=50K -34, Private, 11th,7.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,23.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3137.0,0.0,40.0, United-States,<=50K -64, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,50.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,4386.0,0.0,45.0, United-States,>50K -30, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -71, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,6514.0,0.0,40.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Japan,<=50K -70, Self-emp-inc, Bachelors,13.0, Widowed, Farming-fishing, Unmarried, White, Female,0.0,0.0,6.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,30.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,15.0, United-States,<=50K -33, Private, Some-college,10.0, Married-spouse-absent, Sales, Unmarried, Amer-Indian-Eskimo, Male,0.0,1602.0,40.0, United-States,<=50K -53, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,20.0, United-States,<=50K -54, State-gov, Masters,14.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -40, Private, 7th-8th,4.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -45, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -25, State-gov, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Self-emp-inc, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Widowed, Tech-support, Not-in-family, Black, Female,0.0,0.0,54.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -58, Private, HS-grad,9.0, Widowed, Tech-support, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -37, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -61, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,25.0, United-States,>50K -64, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -50, Private, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, Germany,<=50K -59, Self-emp-not-inc, HS-grad,9.0, Widowed, Other-service, Not-in-family, Black, Female,0.0,0.0,20.0, United-States,<=50K -75, State-gov, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,2885.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -53, Federal-gov, Some-college,10.0, Separated, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -33, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, State-gov, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -47, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -34, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Self-emp-not-inc, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,90.0, United-States,>50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -79, Private, 7th-8th,4.0, Widowed, Other-service, Unmarried, Black, Male,0.0,0.0,5.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -67, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386.0,0.0,40.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Peru,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,5013.0,0.0,38.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, Japan,<=50K -26, Federal-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,20.0, South,<=50K -52, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Federal-gov, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -41, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Columbia,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -57, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -32, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -42, Private, 5th-6th,3.0, Separated, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -56, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0.0,1579.0,40.0, Vietnam,<=50K -31, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,38.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -35, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -68, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1844.0,10.0, United-States,<=50K -59, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,35.0, Jamaica,<=50K -43, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -44, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,8614.0,0.0,33.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,49.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -45, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -28, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, Peru,<=50K -54, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,2176.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, Black, Female,7430.0,0.0,45.0, United-States,>50K -40, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, Other, Male,0.0,0.0,40.0, France,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,18.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -55, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,54.0, United-States,<=50K -39, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,2205.0,30.0, Philippines,<=50K -44, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -30, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -74, Private, HS-grad,9.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,26.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -59, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, 5th-6th,3.0, Never-married, Farming-fishing, Not-in-family, White, Male,2176.0,0.0,36.0, Mexico,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1672.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,30.0, Canada,>50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -39, Private, Some-college,10.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Self-emp-not-inc, 1st-4th,2.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386.0,0.0,65.0, Mexico,<=50K -40, State-gov, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Taiwan,>50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -47, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,5.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -24, Private, Bachelors,13.0, Married-spouse-absent, Adm-clerical, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,1590.0,40.0, United-States,<=50K -31, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -54, Local-gov, 5th-6th,3.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,2001.0,35.0, United-States,<=50K -50, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1672.0,48.0, United-States,<=50K -35, Private, 9th,5.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -46, State-gov, Some-college,10.0, Married-spouse-absent, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,50.0, Philippines,<=50K -22, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -38, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -46, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,8614.0,0.0,50.0, United-States,>50K -81, Private, 7th-8th,4.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,2.0, United-States,<=50K -36, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -28, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3464.0,0.0,48.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -66, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -30, Local-gov, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,3325.0,0.0,35.0, United-States,<=50K -40, Self-emp-not-inc, 9th,5.0, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,20.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -25, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,65.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -51, State-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2829.0,0.0,42.0, United-States,<=50K -27, Local-gov, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,1564.0,72.0, United-States,>50K -53, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, India,<=50K -30, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -67, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Masters,14.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-not-inc, Bachelors,13.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, Black, Male,0.0,0.0,32.0, United-States,<=50K -27, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -57, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -43, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,1762.0,24.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,54.0, United-States,<=50K -53, Private, Assoc-acdm,12.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -66, Private, HS-grad,9.0, Widowed, Transport-moving, Not-in-family, White, Male,0.0,0.0,22.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -33, Private, 9th,5.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -23, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -36, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -50, State-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -39, State-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Married-civ-spouse, Farming-fishing, Wife, White, Female,0.0,0.0,45.0, Germany,<=50K -39, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -57, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -47, Local-gov, HS-grad,9.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -28, Private, 7th-8th,4.0, Separated, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -43, Private, Masters,14.0, Separated, Sales, Unmarried, White, Female,6497.0,0.0,50.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -53, Self-emp-inc, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -48, Local-gov, Bachelors,13.0, Divorced, Protective-serv, Not-in-family, Black, Female,0.0,0.0,43.0, United-States,>50K -49, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,1564.0,40.0, United-States,>50K -52, Federal-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,46.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,65.0, Canada,>50K -23, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,27.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -41, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -29, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298.0,0.0,45.0, England,>50K -24, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -44, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,38.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, HS-grad,9.0, Divorced, Protective-serv, Unmarried, Black, Female,0.0,0.0,40.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,45.0, United-States,>50K -70, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -78, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,3471.0,0.0,50.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Sales, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -73, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Bachelors,13.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0.0,0.0,70.0, Iran,>50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, State-gov, 9th,5.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2002.0,40.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, 1st-4th,2.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, 10th,6.0, Separated, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -44, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 11th,7.0, Married-spouse-absent, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Other-relative, White, Female,0.0,0.0,15.0, United-States,<=50K -31, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Japan,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -32, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,2051.0,38.0, United-States,<=50K -24, Self-emp-not-inc, 11th,7.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,3.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -26, Self-emp-not-inc, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -70, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Adm-clerical, Other-relative, White, Female,4865.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -75, Self-emp-not-inc, 11th,7.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,1980.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -66, State-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -32, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, Poland,<=50K -33, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, Other, Male,0.0,0.0,37.0, United-States,<=50K -54, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,4386.0,0.0,41.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -49, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Canada,>50K -31, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,27.0, United-States,<=50K -81, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,25.0, Greece,<=50K -40, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Portugal,>50K -40, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,4386.0,0.0,20.0, United-States,>50K -32, State-gov, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -52, State-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -76, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Self-emp-not-inc, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -49, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -60, Federal-gov, HS-grad,9.0, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,37.0, United-States,<=50K -46, Federal-gov, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Germany,>50K -50, Private, HS-grad,9.0, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Separated, Adm-clerical, Own-child, White, Female,594.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,10.0, United-States,<=50K -30, Self-emp-not-inc, Assoc-voc,11.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Canada,>50K -29, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, Cambodia,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,34.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,1977.0,40.0, United-States,>50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -43, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,85.0, United-States,<=50K -32, Local-gov, Some-college,10.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,1408.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, Mexico,>50K -25, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,36.0, Cuba,<=50K -25, Private, 12th,8.0, Married-civ-spouse, Other-service, Husband, Black, Male,3103.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -26, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,7688.0,0.0,65.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -21, Private, 9th,5.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Federal-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -66, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2290.0,0.0,40.0, Germany,<=50K -32, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -39, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, 11th,7.0, Never-married, Other-service, Own-child, Other, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -43, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -56, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female,0.0,1672.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Never-married, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -51, Local-gov, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -34, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -27, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,2354.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -53, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,65.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -64, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -45, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,44.0, United-States,>50K -32, Private, 11th,7.0, Divorced, Transport-moving, Own-child, Black, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,28.0, Mexico,<=50K -31, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,10520.0,0.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,45.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Other-service, Other-relative, White, Female,0.0,0.0,40.0, Scotland,<=50K -23, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0.0,0.0,48.0, United-States,>50K -65, Private, 10th,6.0, Divorced, Other-service, Not-in-family, Black, Male,0.0,0.0,64.0, United-States,<=50K -37, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, Puerto-Rico,<=50K -48, Private, 7th-8th,4.0, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0.0,0.0,15.0, United-States,<=50K -43, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,65.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7688.0,0.0,45.0, United-States,>50K -70, Self-emp-not-inc, Bachelors,13.0, Widowed, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -28, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -46, Local-gov, Prof-school,15.0, Separated, Prof-specialty, Not-in-family, Black, Male,4650.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -35, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 10th,6.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 11th,7.0, Divorced, Sales, Other-relative, White, Female,0.0,0.0,25.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -54, State-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -38, Private, 11th,7.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -57, Federal-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -43, Private, 7th-8th,4.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Doctorate,16.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -72, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -75, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2149.0,35.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Other-relative, White, Male,2176.0,0.0,25.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Other-relative, Black, Female,0.0,0.0,15.0, United-States,<=50K -31, Self-emp-inc, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Bachelors,13.0, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,8.0, South,<=50K -24, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -62, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,1741.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,3137.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -56, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Widowed, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 1st-4th,2.0, Married-spouse-absent, Farming-fishing, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -38, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -44, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -72, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051.0,0.0,48.0, United-States,>50K -72, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2653.0,0.0,40.0, United-States,<=50K -37, Private, Prof-school,15.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,60.0, United-States,>50K -54, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, China,>50K -52, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,56.0, United-States,>50K -37, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,75.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -59, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, Scotland,<=50K -34, Private, Some-college,10.0, Never-married, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, Mexico,<=50K -32, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,35.0, Italy,<=50K -21, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -47, Self-emp-not-inc, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,47.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,55.0, United-States,>50K -39, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0.0,0.0,30.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -39, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,55.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,23.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -74, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -25, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,60.0, Germany,<=50K -31, Private, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -48, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -73, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,3.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -53, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Hungary,>50K -37, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,1719.0,25.0, United-States,<=50K -53, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,5013.0,0.0,45.0, United-States,<=50K -59, Self-emp-inc, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,13550.0,0.0,40.0, United-States,>50K -39, Private, Bachelors,13.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,38.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,2205.0,43.0, United-States,<=50K -56, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -90, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,1944.0,12.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Wife, White, Female,0.0,1902.0,28.0, United-States,>50K -23, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, 9th,5.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,15.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -26, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -46, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -20, Private, 10th,6.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, Mexico,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,1902.0,35.0, United-States,>50K -62, Private, 12th,8.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Puerto-Rico,>50K -64, Self-emp-not-inc, 1st-4th,2.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -28, Private, Assoc-voc,11.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,55.0, United-States,<=50K -71, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,9386.0,0.0,50.0, United-States,>50K -33, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -36, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -67, Self-emp-not-inc, Masters,14.0, Divorced, Sales, Not-in-family, Other, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -63, Self-emp-not-inc, 1st-4th,2.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -41, Private, 11th,7.0, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,44.0, United-States,<=50K -27, Private, 10th,6.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -55, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,65.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -32, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,99.0, United-States,>50K -50, Private, Doctorate,16.0, Never-married, Exec-managerial, Not-in-family, White, Male,13550.0,0.0,50.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, Black, Male,0.0,0.0,24.0, United-States,<=50K -46, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,5013.0,0.0,50.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Private, Prof-school,15.0, Widowed, Prof-specialty, Unmarried, White, Male,0.0,0.0,60.0, United-States,>50K -45, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, South,>50K -67, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -74, Private, 10th,6.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1411.0,40.0, United-States,<=50K -20, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -52, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Local-gov, 11th,7.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,25.0, United-States,<=50K -33, Private, 7th-8th,4.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 10th,6.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, Mexico,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -67, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -39, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, 7th-8th,4.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, Dominican-Republic,<=50K -44, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, Mexico,<=50K -44, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -52, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Self-emp-not-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,38.0, United-States,>50K -26, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,2829.0,0.0,70.0, United-States,<=50K -21, Private, 10th,6.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,36.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -41, Self-emp-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,60.0, United-States,>50K -54, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -38, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -64, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -53, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,38.0, United-States,<=50K -60, Federal-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -70, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,20051.0,0.0,65.0, United-States,>50K -44, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Canada,<=50K -46, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -29, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Local-gov, Some-college,10.0, Separated, Other-service, Own-child, Black, Female,0.0,0.0,35.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -37, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -59, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, 9th,5.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -38, Federal-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, Canada,<=50K -47, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, 9th,5.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -40, Federal-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, Black, Female,0.0,1741.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, 11th,7.0, Widowed, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -50, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -46, Private, Bachelors,13.0, Divorced, Sales, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,1408.0,40.0, United-States,<=50K -59, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,27828.0,0.0,40.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Handlers-cleaners, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, State-gov, HS-grad,9.0, Divorced, Protective-serv, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -55, Private, 5th-6th,3.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,5013.0,0.0,48.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -65, Local-gov, HS-grad,9.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -23, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -61, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Never-married, Exec-managerial, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -63, Local-gov, Bachelors,13.0, Widowed, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,35.0, Philippines,<=50K -17, Private, 11th,7.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -54, Self-emp-not-inc, Masters,14.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Local-gov, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,47.0, United-States,<=50K -28, State-gov, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -70, Private, Bachelors,13.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -46, Private, Doctorate,16.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Local-gov, 9th,5.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,45.0, Cuba,<=50K -58, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,37.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, 11th,7.0, Widowed, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,3781.0,0.0,40.0, United-States,<=50K -66, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -35, Private, 11th,7.0, Separated, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -55, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,1977.0,35.0, United-States,>50K -43, Federal-gov, Assoc-voc,11.0, Divorced, Handlers-cleaners, Unmarried, Black, Male,0.0,1726.0,40.0, United-States,<=50K -66, Private, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -55, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2415.0,50.0, United-States,>50K -43, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -33, Private, 10th,6.0, Never-married, Other-service, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -45, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -30, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -56, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0.0,2415.0,40.0, Puerto-Rico,>50K -34, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -58, Local-gov, Some-college,10.0, Widowed, Adm-clerical, Other-relative, White, Female,0.0,0.0,25.0, United-States,<=50K -47, Local-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -62, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,14.0, Philippines,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -73, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,7.0, United-States,<=50K -26, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -63, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -21, Local-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,22.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -55, Federal-gov, HS-grad,9.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -40, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Sales, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,35.0, Philippines,<=50K -18, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,23.0, United-States,<=50K -57, Private, Assoc-acdm,12.0, Widowed, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Private, 11th,7.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,80.0, United-States,<=50K -32, Private, Bachelors,13.0, Separated, Tech-support, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -59, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,36.0, United-States,>50K -47, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,>50K -24, Private, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, Other, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Self-emp-not-inc, Bachelors,13.0, Widowed, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -44, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Own-child, White, Female,2597.0,0.0,40.0, United-States,<=50K -66, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,34.0, United-States,<=50K -21, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,38.0, United-States,<=50K -25, Private, 11th,7.0, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,35.0, India,<=50K -31, Private, 1st-4th,2.0, Never-married, Transport-moving, Other-relative, Other, Male,0.0,0.0,40.0, El-Salvador,<=50K -51, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -31, Federal-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,45.0, United-States,>50K -54, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -59, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -76, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,28.0, United-States,<=50K -32, Private, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -47, Self-emp-not-inc, HS-grad,9.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -70, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -36, State-gov, HS-grad,9.0, Never-married, Protective-serv, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -32, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, Iran,<=50K -47, Private, Bachelors,13.0, Divorced, Other-service, Not-in-family, White, Female,99999.0,0.0,40.0, United-States,>50K -56, Private, HS-grad,9.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Canada,<=50K -38, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -74, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -74, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2653.0,0.0,12.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Other-relative, Other, Male,0.0,0.0,40.0, Mexico,<=50K -31, Private, 12th,8.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -24, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, Canada,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,55.0, United-States,>50K -40, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -67, State-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3456.0,0.0,35.0, United-States,<=50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, South,<=50K -36, Federal-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -61, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -43, Private, Some-college,10.0, Never-married, Handlers-cleaners, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -69, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,10605.0,0.0,50.0, United-States,>50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -51, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,1980.0,40.0, United-States,<=50K -38, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -42, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,38.0, United-States,<=50K -36, Private, Assoc-acdm,12.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -31, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,55.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,7298.0,0.0,35.0, Haiti,>50K -26, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,99.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,2258.0,55.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, Guatemala,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,25.0, Canada,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, Other, Male,0.0,0.0,40.0, Iran,>50K -47, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -33, Private, Assoc-voc,11.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,52.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -28, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,4064.0,0.0,12.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Some-college,10.0, Never-married, Farming-fishing, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -45, Private, 10th,6.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, Masters,14.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,44.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -48, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1887.0,40.0, United-States,>50K -63, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -42, Private, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,1902.0,40.0, Hong,>50K -24, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,3770.0,37.0, Puerto-Rico,<=50K -44, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,56.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -40, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2051.0,30.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -56, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -56, Private, HS-grad,9.0, Separated, Adm-clerical, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -50, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Canada,>50K -29, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -34, Local-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -49, Private, 10th,6.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -39, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -32, Private, Assoc-voc,11.0, Divorced, Sales, Unmarried, White, Female,0.0,1380.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -62, Private, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,20.0, United-States,<=50K -33, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,72.0, United-States,<=50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,39.0, United-States,<=50K -67, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,9.0, United-States,>50K -27, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,20.0, China,<=50K -33, Federal-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,1408.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,2.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -45, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -23, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,40.0, Mexico,<=50K -48, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1485.0,40.0, United-States,>50K -40, Private, Masters,14.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -62, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -52, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,30.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Sales, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -44, Private, Masters,14.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,1564.0,30.0, United-States,>50K -23, State-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, Black, Male,0.0,0.0,30.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, Japan,>50K -52, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -37, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,5178.0,0.0,38.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -51, State-gov, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -18, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,16.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -64, Private, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -34, State-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -70, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -52, State-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -61, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,30.0, South,<=50K -41, Federal-gov, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -24, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -60, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, 11th,7.0, Married-civ-spouse, Other-service, Other-relative, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -26, Self-emp-not-inc, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Widowed, Prof-specialty, Unmarried, Other, Female,0.0,0.0,35.0, Puerto-Rico,<=50K -22, Private, 9th,5.0, Divorced, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -34, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0.0,0.0,40.0, Iran,<=50K -25, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,10.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, Canada,<=50K -48, Private, Bachelors,13.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -62, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,>50K -27, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -59, Private, Bachelors,13.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -55, Private, HS-grad,9.0, Never-married, Priv-house-serv, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -48, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,14.0, United-States,<=50K -46, Local-gov, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Tech-support, Unmarried, Black, Female,0.0,0.0,35.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -39, Private, 10th,6.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, Columbia,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,55.0, United-States,>50K -51, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -48, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -57, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Assoc-voc,11.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,10.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Other, Male,13550.0,0.0,60.0, India,>50K -32, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,43.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -60, Private, HS-grad,9.0, Divorced, Priv-house-serv, Unmarried, White, Female,0.0,0.0,99.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,42.0, United-States,<=50K -49, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -23, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -26, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -40, State-gov, Masters,14.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,80.0, United-States,<=50K -30, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,37.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -72, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,4931.0,0.0,70.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,6849.0,0.0,40.0, United-States,<=50K -24, Private, Masters,14.0, Never-married, Exec-managerial, Own-child, White, Female,4787.0,0.0,60.0, United-States,>50K -43, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -45, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,64.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Other, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, Germany,<=50K -34, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, 11th,7.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -57, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Federal-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,15024.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,4650.0,0.0,40.0, United-States,<=50K -45, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,2258.0,55.0, United-States,<=50K -41, Private, 11th,7.0, Divorced, Protective-serv, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, State-gov, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -54, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,2174.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -39, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,48.0, China,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Protective-serv, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,44.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, Iran,<=50K -24, Private, 12th,8.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Other-relative, White, Female,0.0,0.0,20.0, United-States,>50K -45, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,74.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -64, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -55, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,55.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,4416.0,0.0,24.0, United-States,<=50K -17, Local-gov, 11th,7.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,7.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -52, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -37, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -65, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,39.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -53, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,35.0, Vietnam,<=50K -32, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, Black, Female,0.0,0.0,50.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Taiwan,>50K -62, Self-emp-not-inc, Masters,14.0, Married-spouse-absent, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, 11th,7.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,58.0, United-States,<=50K -57, Private, 7th-8th,4.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Doctorate,16.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, 9th,5.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,40.0, El-Salvador,<=50K -52, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, Mexico,<=50K -18, Private, 10th,6.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,20.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,22.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0.0,0.0,26.0, United-States,<=50K -48, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -69, Private, 7th-8th,4.0, Widowed, Other-service, Not-in-family, White, Female,1086.0,0.0,20.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -82, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Self-emp-not-inc, Bachelors,13.0, Separated, Tech-support, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -53, State-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,50.0, United-States,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,13.0, United-States,<=50K -52, Private, 5th-6th,3.0, Separated, Craft-repair, Unmarried, Black, Female,4101.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -69, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051.0,0.0,45.0, United-States,>50K -30, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-inc, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,44.0, United-States,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Separated, Sales, Not-in-family, White, Male,99999.0,0.0,55.0, United-States,>50K -21, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, Ecuador,<=50K -25, Private, Assoc-acdm,12.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,1797.0,0.0,4.0, United-States,<=50K -41, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -68, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,10.0, United-States,>50K -36, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Female,3325.0,0.0,40.0, United-States,<=50K -20, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Exec-managerial, Other-relative, White, Male,0.0,2001.0,40.0, United-States,<=50K -35, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,99999.0,0.0,45.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,50.0, Canada,>50K -20, Private, 9th,5.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -30, Local-gov, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Separated, Prof-specialty, Unmarried, Black, Female,0.0,0.0,39.0, United-States,<=50K -55, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -53, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -45, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,2824.0,50.0, United-States,>50K -45, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -40, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -73, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,20.0, Cuba,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -31, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -51, Self-emp-inc, Bachelors,13.0, Separated, Sales, Unmarried, White, Male,0.0,2824.0,40.0, United-States,>50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -45, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -71, Private, Some-college,10.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,28.0, United-States,<=50K -63, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,27.0, United-States,<=50K -45, State-gov, HS-grad,9.0, Separated, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -50, Self-emp-not-inc, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, 10th,6.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Divorced, Protective-serv, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Private, 9th,5.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,46.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -47, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -25, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,65.0, United-States,>50K -47, Federal-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -68, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -34, State-gov, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,45.0, Germany,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0.0,0.0,70.0, United-States,<=50K -72, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,21.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,44.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-inc, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -44, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -48, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -32, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,35.0, United-States,<=50K -26, Federal-gov, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, Other, Male,0.0,0.0,55.0, United-States,<=50K -56, Self-emp-not-inc, Bachelors,13.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -24, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -42, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,35.0, Puerto-Rico,>50K -37, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -57, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Female,7443.0,0.0,45.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Self-emp-inc, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -68, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,6.0, United-States,<=50K -33, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -42, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,52.0, United-States,<=50K -42, Private, Some-college,10.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,2231.0,50.0, Canada,>50K -47, Private, 12th,8.0, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Separated, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, Outlying-US(Guam-USVI-etc),<=50K -51, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -32, Self-emp-inc, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Female,10520.0,0.0,80.0, Greece,>50K -59, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, 11th,7.0, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -59, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -34, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,38.0, United-States,<=50K -53, Private, Doctorate,16.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,1408.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -45, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -44, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Other-service, Unmarried, Black, Male,0.0,625.0,60.0, United-States,<=50K -48, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Local-gov, 12th,8.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -65, Private, 9th,5.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,8.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,60.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,>50K -53, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,55.0, United-States,>50K -62, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024.0,0.0,40.0, United-States,>50K -21, Private, 10th,6.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -40, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Wife, Black, Female,0.0,0.0,75.0, United-States,<=50K -70, Self-emp-inc, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -26, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0.0,0.0,48.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,60.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, State-gov, Some-college,10.0, Divorced, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -17, Private, 9th,5.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -69, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,7.0, United-States,>50K -32, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -21, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Tech-support, Other-relative, Black, Female,0.0,0.0,35.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,2176.0,0.0,20.0, United-States,<=50K -40, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -50, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Own-child, White, Male,0.0,0.0,43.0, United-States,>50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -73, Private, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -54, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -68, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -45, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Self-emp-not-inc, 11th,7.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -50, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -48, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Male,4787.0,0.0,40.0, United-States,>50K -59, State-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,39.0, United-States,<=50K -56, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Female,1055.0,0.0,35.0, United-States,<=50K -30, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,1887.0,45.0, Iran,>50K -30, Local-gov, Some-college,10.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, 12th,8.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, Italy,<=50K -41, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -32, Local-gov, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Other-relative, White, Female,0.0,0.0,40.0, Mexico,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -36, Private, Prof-school,15.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,15.0, United-States,>50K -41, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,58.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,36.0, United-States,<=50K -59, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,12.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Other-relative, White, Male,0.0,0.0,12.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,45.0, United-States,>50K -28, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,72.0, United-States,<=50K -47, Local-gov, HS-grad,9.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -49, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -63, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, Mexico,<=50K -44, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -51, Local-gov, 9th,5.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,38.0, Puerto-Rico,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, Assoc-voc,11.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -50, Private, 11th,7.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -60, Federal-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -36, Private, 10th,6.0, Separated, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-AF-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,1741.0,30.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -30, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,2258.0,45.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,18.0, United-States,<=50K -23, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, 11th,7.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,37.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Separated, Exec-managerial, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -48, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Local-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0.0,1887.0,40.0, Jamaica,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, China,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,36.0, United-States,<=50K -35, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -30, Local-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,65.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -32, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0.0,0.0,45.0, India,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,99.0, United-States,>50K -52, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,10520.0,0.0,50.0, United-States,>50K -25, Private, 7th-8th,4.0, Never-married, Priv-house-serv, Other-relative, White, Female,0.0,0.0,40.0, Guatemala,<=50K -25, State-gov, Bachelors,13.0, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Female,0.0,1719.0,15.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, 1st-4th,2.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -24, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -58, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,24.0, United-States,<=50K -33, Private, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,1876.0,40.0, United-States,<=50K -22, Private, 1st-4th,2.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -38, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,24.0, United-States,<=50K -30, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, Mexico,<=50K -42, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -38, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -40, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,45.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -49, Self-emp-not-inc, Bachelors,13.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -52, Private, HS-grad,9.0, Widowed, Adm-clerical, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,55.0, United-States,>50K -27, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, Mexico,<=50K -45, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Italy,>50K -27, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, 1st-4th,2.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,43.0, Mexico,<=50K -30, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2057.0,45.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -48, Federal-gov, Some-college,10.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,99.0, United-States,>50K -46, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,41.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -46, Private, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,>50K -44, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,48.0, United-States,>50K -31, Private, Masters,14.0, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0.0,0.0,25.0, Japan,>50K -17, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1977.0,20.0, United-States,>50K -38, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,50.0, Greece,<=50K -69, Local-gov, 10th,6.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,17.0, United-States,<=50K -60, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -34, Private, Masters,14.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Poland,>50K -50, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Sales, Not-in-family, Asian-Pac-Islander, Female,0.0,1977.0,75.0, Cambodia,>50K -36, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Trinadad&Tobago,<=50K -54, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, 7th-8th,4.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,34.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -21, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,55.0, United-States,>50K -31, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,34.0, United-States,<=50K -47, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -30, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -68, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, Scotland,<=50K -66, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -20, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -53, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,80.0, Greece,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -38, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -47, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -61, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -49, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -56, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -62, Private, Masters,14.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -77, Private, HS-grad,9.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -34, Private, 10th,6.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, Columbia,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, 5th-6th,3.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, Scotland,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,7298.0,0.0,50.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,1602.0,25.0, United-States,<=50K -58, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -64, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Other-relative, Black, Female,0.0,0.0,35.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -59, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, 10th,6.0, Divorced, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -46, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, South,<=50K -23, Federal-gov, HS-grad,9.0, Never-married, Armed-Forces, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -76, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,9386.0,0.0,25.0, United-States,>50K -46, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,50.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,56.0, United-States,<=50K -61, Private, 11th,7.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -41, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, Columbia,<=50K -41, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -58, Federal-gov, Bachelors,13.0, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -62, Private, 9th,5.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -25, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, Other, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -47, Local-gov, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, 7th-8th,4.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -23, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -23, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -49, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2057.0,49.0, United-States,<=50K -33, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -35, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,5721.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -19, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -25, Private, 11th,7.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,10.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -43, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -41, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -60, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,35.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Married-spouse-absent, Other-service, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,55.0, United-States,>50K -41, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,30.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -63, Local-gov, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female,0.0,0.0,20.0, Columbia,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,2907.0,0.0,43.0, United-States,<=50K -37, Self-emp-not-inc, Bachelors,13.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,2002.0,45.0, United-States,<=50K -51, Private, 12th,8.0, Separated, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -40, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -35, Private, 7th-8th,4.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -44, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Priv-house-serv, Husband, White, Male,0.0,0.0,2.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -52, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -27, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -32, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,86.0, United-States,>50K -34, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Federal-gov, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Other, Male,0.0,0.0,40.0, United-States,>50K -56, Private, 9th,5.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, White, Female,25236.0,0.0,44.0, United-States,>50K -19, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -19, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Tech-support, Own-child, Black, Male,0.0,1974.0,40.0, United-States,<=50K -54, Private, Some-college,10.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -58, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -37, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, Some-college,10.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -43, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -55, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -56, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, State-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -56, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -51, Private, Preschool,1.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Local-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0.0,0.0,80.0, Philippines,>50K -25, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Tech-support, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Self-emp-not-inc, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,27828.0,0.0,35.0, United-States,>50K -47, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,27828.0,0.0,38.0, United-States,>50K -43, Self-emp-not-inc, Preschool,1.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, Haiti,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,45.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,8614.0,0.0,40.0, United-States,>50K -47, Private, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,27828.0,0.0,60.0, United-States,>50K -37, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -67, Private, 9th,5.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -53, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,37.0, United-States,<=50K -56, Private, HS-grad,9.0, Divorced, Protective-serv, Own-child, White, Male,4101.0,0.0,38.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Separated, Craft-repair, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -52, Private, 12th,8.0, Separated, Machine-op-inspct, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,3325.0,0.0,43.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -75, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,2467.0,40.0, Canada,<=50K -50, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -58, Local-gov, Assoc-voc,11.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Self-emp-inc, 9th,5.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,625.0,40.0, United-States,<=50K -36, State-gov, Some-college,10.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -58, Local-gov, Masters,14.0, Never-married, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -46, Self-emp-inc, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1564.0,50.0, United-States,>50K -42, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Cuba,>50K -34, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -57, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,56.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1672.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Self-emp-inc, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, 11th,7.0, Separated, Other-service, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,60.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Self-emp-not-inc, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,24.0, United-States,>50K -52, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -52, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -54, Private, 7th-8th,4.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -39, Private, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -20, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -31, State-gov, Assoc-voc,11.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Local-gov, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Separated, Other-service, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -47, Private, Bachelors,13.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,16.0, United-States,<=50K -51, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,16.0, United-States,<=50K -34, State-gov, Bachelors,13.0, Separated, Exec-managerial, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -39, Private, Some-college,10.0, Never-married, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,48.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,35.0, United-States,>50K -27, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -33, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0.0,0.0,20.0, Philippines,<=50K -40, State-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -43, Local-gov, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,35.0, United-States,>50K -42, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, Jamaica,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3137.0,0.0,45.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 1st-4th,2.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -28, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,1092.0,60.0, United-States,<=50K -46, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -23, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,31.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,7.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -20, Self-emp-not-inc, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, 10th,6.0, Married-spouse-absent, Craft-repair, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -34, Local-gov, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,45.0, United-States,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -32, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -62, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, 9th,5.0, Never-married, Farming-fishing, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -59, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,>50K -48, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,11.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -37, Private, Some-college,10.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,3.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,>50K -71, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -53, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -34, Private, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,62.0, United-States,<=50K -53, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Other, Male,0.0,0.0,60.0, United-States,>50K -46, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,1055.0,0.0,10.0, United-States,<=50K -50, Private, Assoc-voc,11.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -30, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -53, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,35.0, United-States,>50K -41, Private, Prof-school,15.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -45, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,44.0, United-States,<=50K -56, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -65, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Private, 7th-8th,4.0, Separated, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,2258.0,50.0, United-States,>50K -22, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,37.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,30.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,55.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Widowed, Tech-support, Not-in-family, White, Male,0.0,0.0,39.0, United-States,>50K -17, Private, 9th,5.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -46, State-gov, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Male,7430.0,0.0,50.0, United-States,>50K -45, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -52, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -53, Private, Bachelors,13.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Sales, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,43.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-inc, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,34.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,27828.0,0.0,60.0, United-States,>50K -46, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,2258.0,35.0, United-States,<=50K -43, Private, 10th,6.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Federal-gov, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,14084.0,0.0,55.0, United-States,>50K -67, Private, 9th,5.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -32, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, 7th-8th,4.0, Separated, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -36, Private, Some-college,10.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,>50K -24, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, State-gov, Some-college,10.0, Never-married, Tech-support, Unmarried, Black, Female,0.0,0.0,50.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -53, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -65, Self-emp-not-inc, Prof-school,15.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Own-child, White, Male,14344.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,55.0, England,>50K -40, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -38, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,70.0, South,<=50K -64, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, 7th-8th,4.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -48, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -58, State-gov, HS-grad,9.0, Never-married, Tech-support, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -34, Federal-gov, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,3103.0,0.0,40.0, United-States,>50K -50, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,56.0, United-States,>50K -52, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -43, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,99999.0,0.0,40.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -54, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,1741.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,10520.0,0.0,40.0, Ireland,>50K -43, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,47.0, United-States,>50K -35, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,37.0, United-States,<=50K -34, Self-emp-not-inc, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,50.0, Cuba,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,7688.0,0.0,50.0, United-States,>50K -59, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -46, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,48.0, United-States,<=50K -39, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,6767.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -22, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,>50K -39, Without-pay, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2415.0,40.0, United-States,>50K -47, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -20, Private, 12th,8.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Transport-moving, Own-child, White, Male,0.0,0.0,25.0, Columbia,<=50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -37, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,50.0, Portugal,>50K -27, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -32, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Federal-gov, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, Black, Male,0.0,0.0,38.0, United-States,<=50K -53, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,8614.0,0.0,15.0, United-States,>50K -54, Self-emp-not-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,2597.0,0.0,40.0, United-States,<=50K -26, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,43.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -37, Private, 5th-6th,3.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,45.0, Mexico,<=50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, 5th-6th,3.0, Divorced, Sales, Other-relative, White, Female,0.0,0.0,32.0, Mexico,<=50K -35, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, Iran,<=50K -39, State-gov, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,55.0, United-States,>50K -29, Private, Masters,14.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, Portugal,>50K -36, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -63, Private, 9th,5.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -23, Private, HS-grad,9.0, Separated, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -60, Private, Doctorate,16.0, Separated, Priv-house-serv, Unmarried, White, Female,0.0,0.0,30.0, Nicaragua,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,5013.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,40.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, State-gov, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,>50K -37, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -60, Local-gov, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -37, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, State-gov, HS-grad,9.0, Divorced, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,3325.0,0.0,40.0, United-States,<=50K -61, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,25.0, Ecuador,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, Assoc-voc,11.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Farming-fishing, Own-child, White, Male,10520.0,0.0,45.0, United-States,>50K -53, Federal-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -73, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,28.0, United-States,>50K -25, Private, 10th,6.0, Never-married, Farming-fishing, Not-in-family, Black, Male,0.0,0.0,35.0, Haiti,<=50K -30, Private, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, State-gov, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,52.0, United-States,<=50K -73, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,1409.0,0.0,2.0, United-States,<=50K -37, State-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -72, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,28.0, United-States,<=50K -30, Self-emp-not-inc, Some-college,10.0, Separated, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,43.0, United-States,<=50K -28, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -21, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Divorced, Sales, Own-child, White, Female,0.0,0.0,28.0, United-States,<=50K -45, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,3411.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,8614.0,0.0,50.0, United-States,>50K -71, Private, Bachelors,13.0, Widowed, Exec-managerial, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Local-gov, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -51, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -48, Private, Assoc-voc,11.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -48, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,64.0, United-States,<=50K -55, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,10.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -23, Private, 7th-8th,4.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -75, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,36.0, United-States,>50K -54, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Wife, Amer-Indian-Eskimo, Female,0.0,2163.0,15.0, United-States,<=50K -90, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, Black, Female,0.0,0.0,70.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -24, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -45, Local-gov, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, Black, Male,5013.0,0.0,40.0, United-States,<=50K -29, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -47, State-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Protective-serv, Unmarried, White, Male,0.0,0.0,35.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -66, Private, Masters,14.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -51, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051.0,0.0,40.0, Germany,>50K -57, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2129.0,70.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,55.0, United-States,>50K -39, Private, 9th,5.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -38, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -58, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -45, Private, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,27828.0,0.0,50.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,38.0, United-States,<=50K -51, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -52, Federal-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, Haiti,>50K -34, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,38.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -40, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Philippines,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Assoc-voc,11.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,30.0, Thailand,<=50K -26, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-spouse-absent, Adm-clerical, Other-relative, White, Female,0.0,0.0,32.0, United-States,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,4064.0,0.0,35.0, England,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -52, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999.0,0.0,35.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Separated, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Masters,14.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -32, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,5013.0,0.0,65.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -34, Private, 1st-4th,2.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -60, Private, 10th,6.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -24, Private, Masters,14.0, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,84.0, United-States,<=50K -27, Without-pay, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -33, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,2824.0,48.0, United-States,>50K -45, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,50.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,60.0, United-States,<=50K -45, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0.0,0.0,50.0, United-States,>50K -41, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,4650.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -30, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,7688.0,0.0,38.0, United-States,>50K -26, Private, Doctorate,16.0, Never-married, Craft-repair, Other-relative, Black, Male,0.0,0.0,20.0, United-States,<=50K -35, State-gov, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,5721.0,0.0,45.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -40, State-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1579.0,45.0, United-States,<=50K -60, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, Black, Male,0.0,0.0,46.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -35, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -53, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,80.0, United-States,<=50K -65, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,10605.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -25, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -37, State-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -48, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, Germany,<=50K -46, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,55.0, United-States,>50K -50, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -33, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,46.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Divorced, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0.0,0.0,45.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,47.0, United-States,<=50K -44, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,4508.0,0.0,72.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,7298.0,0.0,38.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Self-emp-inc, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,8614.0,0.0,50.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -34, Federal-gov, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -41, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -61, Local-gov, HS-grad,9.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -33, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Dominican-Republic,>50K -31, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -43, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -18, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -41, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,52.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Cambodia,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,68.0, United-States,<=50K -26, Self-emp-not-inc, Some-college,10.0, Never-married, Exec-managerial, Unmarried, White, Male,0.0,0.0,15.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,4416.0,0.0,25.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Local-gov, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,51.0, United-States,<=50K -18, Private, 5th-6th,3.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,48.0, Mexico,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -56, Federal-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -58, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,25.0, United-States,>50K -37, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -59, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -45, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, 11th,7.0, Widowed, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, 7th-8th,4.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,63.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, Some-college,10.0, Never-married, Tech-support, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-acdm,12.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -75, Private, 11th,7.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,6418.0,0.0,50.0, United-States,>50K -46, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,80.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,50.0, United-States,>50K -41, Private, Bachelors,13.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,<=50K -27, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -53, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -53, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -30, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -57, Local-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -71, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2392.0,52.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -21, Private, Preschool,1.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, Mexico,<=50K -41, Private, HS-grad,9.0, Widowed, Transport-moving, Not-in-family, White, Female,13550.0,0.0,60.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,3325.0,0.0,40.0, United-States,<=50K -38, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,3325.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -40, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,3781.0,0.0,35.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -32, Private, Some-college,10.0, Separated, Other-service, Unmarried, Other, Female,0.0,0.0,70.0, United-States,<=50K -31, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,2179.0,35.0, Mexico,<=50K -37, Private, Bachelors,13.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, 12th,8.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -28, Local-gov, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, Other, Male,0.0,0.0,20.0, Iran,<=50K -46, Local-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Masters,14.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,1564.0,40.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Self-emp-inc, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -36, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -34, Private, 9th,5.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -23, Private, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,15.0, United-States,<=50K -36, State-gov, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -48, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,45.0, United-States,>50K -41, Private, 11th,7.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,50.0, United-States,<=50K -43, Local-gov, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,34.0, United-States,<=50K -46, State-gov, Some-college,10.0, Divorced, Tech-support, Not-in-family, Other, Female,0.0,0.0,48.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,65.0, United-States,<=50K -23, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Own-child, White, Female,2176.0,0.0,25.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -42, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, China,>50K -18, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,14344.0,0.0,48.0, United-States,>50K -52, State-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,1876.0,50.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,53.0, Mexico,<=50K -57, Private, 9th,5.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,1617.0,35.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -27, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -69, Federal-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,5.0, United-States,<=50K -25, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -47, Local-gov, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -41, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, Canada,>50K -21, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Black, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -58, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Local-gov, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -49, State-gov, Doctorate,16.0, Divorced, Prof-specialty, Not-in-family, White, Female,14084.0,0.0,60.0, United-States,>50K -47, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464.0,0.0,40.0, United-States,<=50K -51, State-gov, Assoc-acdm,12.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -43, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,46.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1628.0,48.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103.0,0.0,50.0, United-States,>50K -36, Local-gov, 11th,7.0, Separated, Prof-specialty, Unmarried, Other, Female,0.0,0.0,30.0, United-States,<=50K -19, Private, 9th,5.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -60, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,1408.0,50.0, United-States,<=50K -23, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,18.0, United-States,<=50K -41, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Italy,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-spouse-absent, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, 11th,7.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,60.0, United-States,<=50K -43, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -23, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -32, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,35.0, Mexico,<=50K -22, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -26, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,60.0, Mexico,<=50K -81, Private, 5th-6th,3.0, Widowed, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,6.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -65, Private, Assoc-acdm,12.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, 5th-6th,3.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -55, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -60, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,75.0, United-States,<=50K -51, Local-gov, 7th-8th,4.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, Columbia,<=50K -38, Self-emp-not-inc, Some-college,10.0, Married-spouse-absent, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -25, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -45, Private, Masters,14.0, Widowed, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, China,<=50K -27, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,28.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -26, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1672.0,45.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -35, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -55, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,15.0, United-States,>50K -37, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,12.0, United-States,<=50K -46, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, Ireland,<=50K -26, Private, 5th-6th,3.0, Married-spouse-absent, Priv-house-serv, Other-relative, White, Female,0.0,0.0,8.0, El-Salvador,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -88, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,6418.0,0.0,40.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -50, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -48, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,5178.0,0.0,40.0, United-States,>50K -47, Private, 11th,7.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, Black, Male,5178.0,0.0,60.0, United-States,>50K -41, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,60.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -57, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,70.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -53, Self-emp-inc, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,1876.0,50.0, United-States,<=50K -71, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,21.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -49, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -54, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -47, Local-gov, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, Assoc-acdm,12.0, Widowed, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Ireland,>50K -27, Private, Some-college,10.0, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,3325.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,1741.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,62.0, United-States,<=50K -50, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Local-gov, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -42, Self-emp-not-inc, HS-grad,9.0, Divorced, Farming-fishing, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,43.0, United-States,>50K -43, Private, Prof-school,15.0, Never-married, Farming-fishing, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0.0,0.0,20.0, China,<=50K -29, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -75, Private, 10th,6.0, Widowed, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -52, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,14.0, United-States,<=50K -36, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -52, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -54, Private, Assoc-acdm,12.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -27, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,1980.0,40.0, United-States,<=50K -44, Federal-gov, Bachelors,13.0, Separated, Exec-managerial, Unmarried, Black, Female,0.0,0.0,60.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,45.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -51, State-gov, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,47.0, United-States,>50K -52, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -72, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -43, Private, Bachelors,13.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,15.0, United-States,<=50K -71, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0.0,1668.0,20.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -43, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Self-emp-not-inc, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -60, Self-emp-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -30, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -60, Private, HS-grad,9.0, Widowed, Craft-repair, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, Cambodia,<=50K -40, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,20.0, United-States,<=50K -49, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,1977.0,60.0, China,>50K -31, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,26.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,3103.0,0.0,40.0, United-States,>50K -19, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,68.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,19.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,70.0, India,>50K -43, Local-gov, Masters,14.0, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,7430.0,0.0,60.0, United-States,>50K -50, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-spouse-absent, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -48, State-gov, Masters,14.0, Widowed, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -29, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -41, Private, Prof-school,15.0, Never-married, Exec-managerial, Not-in-family, White, Male,4787.0,0.0,60.0, United-States,>50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,50.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,1628.0,40.0, United-States,<=50K -24, Federal-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Self-emp-inc, Masters,14.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -58, Private, HS-grad,9.0, Never-married, Priv-house-serv, Not-in-family, White, Male,0.0,1719.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, Other, Male,0.0,0.0,40.0, United-States,>50K -44, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -46, Private, Some-college,10.0, Never-married, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -80, Private, Bachelors,13.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-AF-spouse, Sales, Wife, Asian-Pac-Islander, Female,0.0,0.0,60.0, Philippines,>50K -21, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -26, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -48, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,>50K -46, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,45.0, United-States,<=50K -44, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,84.0, United-States,<=50K -57, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,40.0, Germany,>50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -30, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -40, Self-emp-inc, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,99999.0,0.0,55.0, United-States,>50K -58, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,60.0, United-States,<=50K -44, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,41.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, China,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -21, Local-gov, Assoc-acdm,12.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,60.0, United-States,<=50K -39, Private, Bachelors,13.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, Germany,<=50K -32, Self-emp-not-inc, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -24, Private, 10th,6.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -30, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Other, Female,1506.0,0.0,45.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Other-relative, White, Female,0.0,0.0,24.0, United-States,>50K -28, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -25, Private, 12th,8.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, Black, Male,0.0,0.0,45.0, United-States,<=50K -47, Local-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -37, Federal-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,1876.0,40.0, United-States,<=50K -61, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -41, Self-emp-inc, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -49, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -56, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -33, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -60, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Wife, White, Female,0.0,0.0,15.0, United-States,<=50K -33, Private, 12th,8.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,50.0, Dominican-Republic,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Masters,14.0, Divorced, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, South,<=50K -65, Private, Masters,14.0, Separated, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,20.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -61, Private, 11th,7.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -29, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,21.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,30.0, Puerto-Rico,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -52, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Transport-moving, Other-relative, White, Male,0.0,0.0,60.0, United-States,<=50K -60, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Masters,14.0, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0.0,0.0,40.0, China,>50K -21, Private, HS-grad,9.0, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Self-emp-not-inc, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,1340.0,45.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -60, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,1887.0,40.0, United-States,>50K -24, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,99999.0,0.0,50.0, United-States,>50K -59, Private, HS-grad,9.0, Divorced, Exec-managerial, Other-relative, White, Female,0.0,0.0,45.0, United-States,<=50K -52, Federal-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -50, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -28, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, South,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -43, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,3137.0,0.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, Mexico,<=50K -41, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,55.0, United-States,>50K -43, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -31, Private, 10th,6.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 10th,6.0, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-not-inc, 12th,8.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,2051.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -55, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, 11th,7.0, Never-married, Machine-op-inspct, Not-in-family, Other, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -42, State-gov, Assoc-voc,11.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -27, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,3908.0,0.0,50.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,>50K -37, Private, 7th-8th,4.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, Mexico,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,4416.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -67, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -51, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -57, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1977.0,10.0, United-States,>50K -29, Private, HS-grad,9.0, Divorced, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, Portugal,<=50K -42, Private, Bachelors,13.0, Separated, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, Other, Female,0.0,0.0,40.0, United-States,>50K -27, Private, 10th,6.0, Married-civ-spouse, Other-service, Wife, Black, Female,0.0,0.0,30.0, United-States,<=50K -28, Private, HS-grad,9.0, Separated, Transport-moving, Own-child, White, Female,0.0,0.0,17.0, United-States,<=50K -17, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,20.0, United-States,<=50K -24, Private, 11th,7.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -81, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,2174.0,35.0, United-States,>50K -47, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3908.0,0.0,40.0, United-States,<=50K -29, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Japan,<=50K -38, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, Germany,<=50K -53, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -68, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,9386.0,0.0,70.0, Germany,>50K -19, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -28, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,16.0, United-States,<=50K -51, Local-gov, Masters,14.0, Widowed, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,>50K -68, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,5013.0,0.0,40.0, United-States,<=50K -45, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1848.0,40.0, United-States,>50K -45, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -80, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, State-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,3411.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Other-relative, Other, Female,0.0,0.0,30.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Local-gov, Bachelors,13.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Adm-clerical, Own-child, White, Female,594.0,0.0,20.0, United-States,<=50K -31, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Federal-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -30, Private, Some-college,10.0, Never-married, Tech-support, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Private, 12th,8.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -59, Private, 11th,7.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -39, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -17, Local-gov, 10th,6.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -66, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Federal-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -64, Private, HS-grad,9.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,17.0, United-States,<=50K -48, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -51, Federal-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -44, Private, Assoc-voc,11.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -34, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,32.0, United-States,<=50K -56, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -31, State-gov, Some-college,10.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,2202.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -56, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,46.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -57, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -42, Private, HS-grad,9.0, Widowed, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,15024.0,0.0,60.0, Mexico,>50K -24, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -31, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -25, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, 1st-4th,2.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, Assoc-acdm,12.0, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,30.0, El-Salvador,<=50K -31, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -46, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -63, Private, 12th,8.0, Divorced, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,8.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -41, State-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, State-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Other-relative, White, Female,0.0,0.0,20.0, Mexico,<=50K -47, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0.0,1887.0,45.0, China,>50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -59, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Local-gov, 10th,6.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Craft-repair, Other-relative, White, Male,0.0,0.0,48.0, United-States,>50K -23, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -47, Local-gov, Masters,14.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Assoc-voc,11.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -37, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -48, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,10.0, United-States,>50K -57, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -24, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -40, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Private, HS-grad,9.0, Widowed, Transport-moving, Not-in-family, White, Male,0.0,0.0,22.0, United-States,<=50K -44, Private, Some-college,10.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,35.0, England,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, 12th,8.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -42, State-gov, Assoc-acdm,12.0, Divorced, Tech-support, Not-in-family, Black, Female,0.0,1974.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -50, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -27, Private, HS-grad,9.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, Doctorate,16.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,42.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,48.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -39, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,2885.0,0.0,30.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,42.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -38, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Federal-gov, Assoc-acdm,12.0, Divorced, Adm-clerical, Unmarried, White, Female,1471.0,0.0,40.0, United-States,<=50K -71, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -39, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,84.0, United-States,>50K -41, Private, Masters,14.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -43, State-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Separated, Adm-clerical, Other-relative, White, Male,0.0,0.0,46.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Bachelors,13.0, Married-spouse-absent, Sales, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,40.0, Laos,<=50K -48, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -39, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -81, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,4.0, United-States,>50K -44, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0.0,0.0,38.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,33.0, United-States,<=50K -30, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -56, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,4064.0,0.0,40.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,56.0, United-States,<=50K -34, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,2174.0,0.0,50.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -43, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,46.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -32, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -31, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,34.0, United-States,<=50K -66, Self-emp-inc, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -73, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Tech-support, Not-in-family, White, Female,2354.0,0.0,40.0, United-States,<=50K -44, Self-emp-not-inc, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Federal-gov, 10th,6.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,1741.0,40.0, United-States,<=50K -62, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,2377.0,35.0, Hong,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -61, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,35.0, Greece,<=50K -29, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -21, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-acdm,12.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -76, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Self-emp-not-inc, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, 11th,7.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,30.0, United-States,<=50K -20, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -73, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -38, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,24.0, United-States,<=50K -36, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,4.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -52, Private, 10th,6.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, 5th-6th,3.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, Mexico,<=50K -66, Private, 7th-8th,4.0, Separated, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -42, Federal-gov, Assoc-voc,11.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,323.0,40.0, United-States,<=50K -56, Self-emp-not-inc, 7th-8th,4.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,58.0, United-States,<=50K -59, Local-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,24.0, Canada,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -60, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,72.0, United-States,>50K -44, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,58.0, United-States,<=50K -35, Private, Bachelors,13.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, 7th-8th,4.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,37.0, United-States,<=50K -28, Self-emp-not-inc, Assoc-acdm,12.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,21.0, Guatemala,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -49, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -42, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,1740.0,40.0, United-States,<=50K -59, Private, 9th,5.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Self-emp-inc, HS-grad,9.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -39, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,28.0, United-States,>50K -26, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Married-spouse-absent, Farming-fishing, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Private, Masters,14.0, Separated, Tech-support, Unmarried, White, Female,0.0,0.0,36.0, United-States,<=50K -34, Private, Prof-school,15.0, Married-civ-spouse, Sales, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -27, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,33.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -26, Private, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -27, Private, HS-grad,9.0, Never-married, Sales, Unmarried, Black, Female,0.0,0.0,60.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -40, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, 7th-8th,4.0, Never-married, Transport-moving, Not-in-family, Other, Male,0.0,0.0,48.0, Puerto-Rico,<=50K -24, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Female,0.0,0.0,50.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,47.0, United-States,<=50K -56, Private, 9th,5.0, Married-civ-spouse, Other-service, Wife, White, Female,4508.0,0.0,28.0, United-States,<=50K -53, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,2415.0,50.0, United-States,>50K -36, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Local-gov, 12th,8.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,1590.0,40.0, United-States,<=50K -31, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,7.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Tech-support, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -33, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0.0,0.0,15.0, United-States,<=50K -49, Local-gov, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,47.0, United-States,<=50K -54, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,2829.0,0.0,42.0, United-States,<=50K -61, State-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,43.0, United-States,<=50K -36, State-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,15024.0,0.0,40.0, Germany,>50K -57, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -46, Local-gov, HS-grad,9.0, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,33.0, United-States,<=50K -49, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -51, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, Assoc-acdm,12.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,46.0, United-States,<=50K -45, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Local-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -27, Local-gov, Assoc-acdm,12.0, Never-married, Protective-serv, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -59, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -33, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -49, State-gov, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, 11th,7.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,9.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3942.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,2635.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -24, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, 11th,7.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -34, Self-emp-inc, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -38, Federal-gov, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,6849.0,0.0,50.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,2174.0,0.0,45.0, Taiwan,<=50K -31, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -34, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -49, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -54, Self-emp-not-inc, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Male,6849.0,0.0,50.0, United-States,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,50.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Other-relative, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -53, Local-gov, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male,0.0,0.0,48.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, 5th-6th,3.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,52.0, Mexico,<=50K -35, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -47, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -55, Self-emp-inc, Assoc-voc,11.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -46, Self-emp-not-inc, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,6.0, United-States,<=50K -43, Local-gov, HS-grad,9.0, Separated, Adm-clerical, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -60, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,4508.0,0.0,8.0, United-States,<=50K -55, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1887.0,70.0, United-States,>50K -52, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,2597.0,0.0,36.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,31.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -27, Federal-gov, HS-grad,9.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -56, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Black, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -42, Local-gov, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -63, Private, 7th-8th,4.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -48, State-gov, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,15.0, Germany,>50K -41, Private, Bachelors,13.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -26, State-gov, Some-college,10.0, Never-married, Adm-clerical, Other-relative, White, Male,0.0,0.0,25.0, United-States,<=50K -33, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Own-child, White, Male,0.0,2339.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -26, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -64, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,22.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Private, 12th,8.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -20, State-gov, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Vietnam,>50K -45, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -77, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -32, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,10.0, United-States,<=50K -32, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,25.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -42, Private, HS-grad,9.0, Separated, Tech-support, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, White, Female,0.0,0.0,48.0, United-States,<=50K -66, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -40, Private, Bachelors,13.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,65.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Separated, Machine-op-inspct, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,44.0, United-States,<=50K -62, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,40.0, United-States,>50K -45, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,2597.0,0.0,20.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -59, Private, 9th,5.0, Widowed, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Assoc-acdm,12.0, Never-married, Farming-fishing, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -23, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -55, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,2354.0,0.0,40.0, United-States,<=50K -58, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Greece,>50K -67, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -37, Private, Some-college,10.0, Separated, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -34, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Male,2597.0,0.0,45.0, United-States,<=50K -49, Private, Assoc-voc,11.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Self-emp-inc, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -38, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,37.0, United-States,>50K -58, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,43.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386.0,0.0,55.0, United-States,>50K -59, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,42.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -17, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,6.0, United-States,<=50K -29, Local-gov, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,42.0, United-States,<=50K -45, Private, 11th,7.0, Separated, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, Puerto-Rico,<=50K -68, Private, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,991.0,0.0,29.0, United-States,<=50K -33, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -49, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -46, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688.0,0.0,40.0, United-States,>50K -54, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,67.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, Bachelors,13.0, Never-married, Prof-specialty, Unmarried, White, Female,0.0,0.0,80.0, United-States,<=50K -36, Private, 7th-8th,4.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, Portugal,<=50K -35, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,7.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, Mexico,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -34, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,59.0, United-States,>50K -29, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Private, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -52, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -37, Private, HS-grad,9.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, State-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -46, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -42, Private, 9th,5.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,24.0, United-States,<=50K -48, Self-emp-inc, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, Canada,>50K -59, Private, Prof-school,15.0, Divorced, Other-service, Not-in-family, White, Male,27828.0,0.0,60.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -38, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Peru,<=50K -19, Private, 12th,8.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,9.0, United-States,<=50K -47, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, State-gov, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -34, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,35.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Transport-moving, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024.0,0.0,50.0, Cuba,>50K -37, Self-emp-not-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -55, Private, Masters,14.0, Divorced, Sales, Not-in-family, White, Male,10520.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -57, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -67, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1902.0,70.0, United-States,>50K -62, Private, HS-grad,9.0, Widowed, Craft-repair, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -26, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -18, Federal-gov, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Other, Male,0.0,0.0,32.0, United-States,<=50K -42, Local-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,56.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Portugal,<=50K -46, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,45.0, Iran,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -23, Local-gov, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, Some-college,10.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,70.0, United-States,<=50K -35, Private, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, State-gov, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, State-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Masters,14.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -23, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,52.0, United-States,<=50K -46, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,>50K -57, Private, Bachelors,13.0, Married-civ-spouse, Protective-serv, Wife, White, Female,0.0,0.0,45.0, Germany,>50K -44, State-gov, Masters,14.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,52.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -44, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -71, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1411.0,70.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, Columbia,<=50K -90, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,>50K -49, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -53, Private, 7th-8th,4.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -43, Private, 1st-4th,2.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,70.0, Mexico,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-spouse-absent, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, Mexico,<=50K -35, Private, Assoc-acdm,12.0, Never-married, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,44.0, United-States,>50K -58, State-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -31, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, Some-college,10.0, Never-married, Adm-clerical, Other-relative, Other, Male,0.0,0.0,40.0, India,<=50K -44, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -43, Private, 1st-4th,2.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,30.0, Dominican-Republic,<=50K -31, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1977.0,70.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,18.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -52, Local-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,20.0, United-States,<=50K -41, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Machine-op-inspct, Own-child, Black, Female,2597.0,0.0,45.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,41.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Self-emp-not-inc, 10th,6.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,1628.0,50.0, United-States,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,35.0, United-States,<=50K -38, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -27, Local-gov, Assoc-voc,11.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -45, Federal-gov, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -38, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,45.0, Mexico,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -20, Local-gov, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,10.0, United-States,<=50K -37, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -72, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -31, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,2258.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,36.0, United-States,<=50K -53, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Federal-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -61, Private, 12th,8.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,37.0, Cuba,<=50K -40, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1977.0,60.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Machine-op-inspct, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -43, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,60.0, United-States,<=50K -38, Self-emp-inc, Prof-school,15.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -47, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,72.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -35, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -42, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -24, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -58, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Other, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Bachelors,13.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -17, Private, HS-grad,9.0, Never-married, Sales, Own-child, Black, Female,0.0,0.0,16.0, United-States,<=50K -31, Self-emp-inc, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Male,0.0,0.0,30.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -57, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -54, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -40, Private, HS-grad,9.0, Never-married, Priv-house-serv, Other-relative, Black, Female,0.0,0.0,40.0, Honduras,<=50K -23, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -54, State-gov, Assoc-acdm,12.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,39.0, United-States,<=50K -32, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,60.0, United-States,>50K -44, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,25.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,54.0, United-States,<=50K -36, Private, Some-college,10.0, Divorced, Sales, Unmarried, Black, Female,0.0,0.0,38.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,5013.0,0.0,30.0, United-States,<=50K -40, Local-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -67, Private, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -48, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -59, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -36, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Federal-gov, HS-grad,9.0, Never-married, Prof-specialty, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Local-gov, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,99.0, United-States,<=50K -23, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -56, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,50.0, United-States,>50K -22, Federal-gov, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,54.0, United-States,>50K -30, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Taiwan,<=50K -72, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -71, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,1510.0,35.0, United-States,<=50K -49, Private, Bachelors,13.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -41, Private, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,26.0, United-States,<=50K -30, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -51, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, White, Male,0.0,1974.0,45.0, United-States,<=50K -49, Private, 10th,6.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -46, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -55, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1573.0,44.0, United-States,<=50K -28, Private, Assoc-voc,11.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Self-emp-inc, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -75, Private, 10th,6.0, Widowed, Tech-support, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -39, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -39, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -31, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,5178.0,0.0,40.0, United-States,>50K -60, Private, HS-grad,9.0, Widowed, Sales, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -30, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2580.0,0.0,40.0, United-States,<=50K -23, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, Cuba,<=50K -55, State-gov, Some-college,10.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -77, Self-emp-not-inc, 9th,5.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, England,<=50K -64, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Greece,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,25.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Tech-support, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -59, Private, Assoc-voc,11.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -23, Private, 10th,6.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,1573.0,30.0, Mexico,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -29, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,32.0, United-States,<=50K -29, Private, 11th,7.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, Italy,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-inc, Masters,14.0, Separated, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0.0,0.0,45.0, China,<=50K -53, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,45.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,45.0, United-States,<=50K -24, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,55.0, United-States,>50K -57, Private, 10th,6.0, Widowed, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,60.0, United-States,<=50K -50, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -48, Private, 11th,7.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, Masters,14.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,28.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,50.0, United-States,>50K -40, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Female,0.0,0.0,48.0, United-States,<=50K -37, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,39.0, United-States,<=50K -33, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,70.0, United-States,>50K -36, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -53, Private, 9th,5.0, Never-married, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,9.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -21, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0.0,0.0,37.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, United-States,>50K -55, Private, 10th,6.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,40.0, Nicaragua,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Philippines,<=50K -42, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -45, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, State-gov, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -47, Federal-gov, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -27, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -49, Private, HS-grad,9.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -34, Self-emp-not-inc, Assoc-voc,11.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -27, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -31, Self-emp-inc, Masters,14.0, Never-married, Sales, Own-child, White, Female,27828.0,0.0,40.0, United-States,>50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Private, Prof-school,15.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,80.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, Germany,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Unmarried, Black, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,14.0, United-States,<=50K -70, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -64, Private, 1st-4th,2.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Self-emp-not-inc, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,3103.0,0.0,50.0, United-States,>50K -54, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,44.0, United-States,<=50K -42, Local-gov, Assoc-acdm,12.0, Divorced, Protective-serv, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,48.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, 5th-6th,3.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,1672.0,30.0, Mexico,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -35, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Male,0.0,0.0,75.0, Thailand,<=50K -33, Local-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -24, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -68, Local-gov, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,24.0, United-States,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Married-spouse-absent, Other-service, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -25, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,90.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -31, Self-emp-not-inc, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,4650.0,0.0,25.0, United-States,<=50K -50, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,1055.0,0.0,20.0, China,<=50K -46, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,2258.0,40.0, United-States,<=50K -58, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -17, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -35, State-gov, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -46, Private, Some-college,10.0, Divorced, Tech-support, Not-in-family, Amer-Indian-Eskimo, Male,13550.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,48.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,16.0, United-States,>50K -27, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -34, Federal-gov, Assoc-voc,11.0, Divorced, Adm-clerical, Own-child, Black, Female,1831.0,0.0,40.0, United-States,<=50K -50, Local-gov, Some-college,10.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -40, Self-emp-not-inc, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -65, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -48, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -32, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,6849.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -57, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0.0,1902.0,45.0, Japan,>50K -29, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, Mexico,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -72, Self-emp-inc, 5th-6th,3.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,20.0, Japan,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,3464.0,0.0,45.0, United-States,<=50K -26, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -63, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-inc, Prof-school,15.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,70.0, United-States,>50K -45, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,0.0,50.0, United-States,>50K -47, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,4.0, France,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -38, State-gov, Assoc-acdm,12.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Local-gov, Some-college,10.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -37, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -69, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,6.0, United-States,<=50K -27, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Hungary,<=50K -39, Self-emp-not-inc, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,72.0, South,<=50K -56, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,40.0, India,<=50K -32, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,75.0, United-States,>50K -26, Private, 11th,7.0, Separated, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Assoc-acdm,12.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -57, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,84.0, United-States,>50K -61, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,<=50K -22, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,50.0, United-States,>50K -47, Self-emp-inc, 7th-8th,4.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -21, State-gov, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -37, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Self-emp-inc, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,65.0, United-States,<=50K -27, Private, HS-grad,9.0, Separated, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -20, Private, 11th,7.0, Never-married, Other-service, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, HS-grad,9.0, Separated, Other-service, Unmarried, Black, Female,0.0,0.0,25.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -30, Private, HS-grad,9.0, Never-married, Transport-moving, Not-in-family, White, Male,4865.0,0.0,40.0, United-States,<=50K -23, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,40.0, United-States,>50K -65, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, State-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -32, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,37.0, United-States,<=50K -40, Federal-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Other-relative, White, Male,0.0,0.0,35.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, HS-grad,9.0, Never-married, Prof-specialty, Not-in-family, Black, Female,4101.0,0.0,40.0, Jamaica,<=50K -26, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -60, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,52.0, United-States,>50K -54, Private, HS-grad,9.0, Divorced, Protective-serv, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, State-gov, Bachelors,13.0, Separated, Prof-specialty, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -37, Federal-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,48.0, United-States,>50K -48, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -20, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,25.0, United-States,<=50K -30, Self-emp-not-inc, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -25, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -55, Self-emp-not-inc, HS-grad,9.0, Separated, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,30.0, United-States,<=50K -28, Local-gov, Bachelors,13.0, Never-married, Protective-serv, Not-in-family, White, Female,4650.0,0.0,48.0, United-States,<=50K -47, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -35, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Sales, Other-relative, Black, Female,0.0,1719.0,30.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Separated, Craft-repair, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -54, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Self-emp-not-inc, Bachelors,13.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -70, Private, 10th,6.0, Widowed, Transport-moving, Not-in-family, White, Female,2538.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Separated, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -49, Local-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,2415.0,55.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -24, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,3103.0,0.0,40.0, United-States,>50K -18, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,5.0, United-States,<=50K -27, Private, Assoc-acdm,12.0, Never-married, Adm-clerical, Other-relative, Black, Female,0.0,0.0,60.0, United-States,<=50K -75, Private, 10th,6.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Local-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Masters,14.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -64, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Local-gov, Assoc-voc,11.0, Separated, Craft-repair, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,4650.0,0.0,40.0, United-States,<=50K -49, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -36, Private, 12th,8.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -55, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Private, Masters,14.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -50, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -22, Federal-gov, Some-college,10.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -24, Self-emp-not-inc, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -75, Self-emp-inc, Doctorate,16.0, Widowed, Prof-specialty, Not-in-family, White, Male,25124.0,0.0,20.0, United-States,>50K -44, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -41, Self-emp-inc, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Tech-support, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -38, Private, Some-college,10.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,1876.0,40.0, United-States,<=50K -23, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Female,0.0,0.0,50.0, Japan,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -41, Federal-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,38.0, United-States,>50K -35, Private, Bachelors,13.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Preschool,1.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,38.0, Mexico,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -64, State-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -55, Private, Doctorate,16.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,29.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,16.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -37, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1485.0,40.0, United-States,>50K -39, Private, 5th-6th,3.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Self-emp-not-inc, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, Yugoslavia,<=50K -52, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -54, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,38.0, United-States,>50K -28, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Transport-moving, Unmarried, Black, Male,0.0,0.0,15.0, United-States,<=50K -33, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,35.0, Japan,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,42.0, United-States,<=50K -49, Self-emp-not-inc, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,70.0, United-States,<=50K -49, Private, 12th,8.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -17, Federal-gov, 11th,7.0, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0.0,0.0,15.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Adm-clerical, Not-in-family, Black, Male,0.0,0.0,55.0, United-States,<=50K -39, Self-emp-inc, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -26, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -59, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,74.0, United-States,>50K -37, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -53, Private, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -50, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,50.0, Trinadad&Tobago,<=50K -48, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,52.0, United-States,<=50K -60, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,32.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Hong,<=50K -26, Self-emp-not-inc, Assoc-voc,11.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,55.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, Other, Male,0.0,0.0,40.0, United-States,<=50K -69, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,15.0, France,>50K -31, Self-emp-not-inc, 9th,5.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,47.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -65, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -63, Private, Some-college,10.0, Separated, Machine-op-inspct, Other-relative, Black, Female,0.0,0.0,37.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -48, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -35, Federal-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Wife, White, Female,7298.0,0.0,40.0, United-States,>50K -50, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,35.0, United-States,>50K -21, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -47, Private, 9th,5.0, Widowed, Exec-managerial, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -52, Self-emp-not-inc, 10th,6.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,27.0, United-States,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Other, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Separated, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Self-emp-inc, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -43, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,92.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -35, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, Puerto-Rico,<=50K -24, Private, 11th,7.0, Separated, Handlers-cleaners, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -47, Private, 9th,5.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, Cuba,<=50K -44, Private, Assoc-acdm,12.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -18, Local-gov, 11th,7.0, Never-married, Prof-specialty, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -50, Federal-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1887.0,45.0, United-States,>50K -37, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -61, Private, 9th,5.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -26, Private, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Private, HS-grad,9.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Separated, Adm-clerical, Not-in-family, White, Female,8614.0,0.0,60.0, United-States,>50K -40, Private, HS-grad,9.0, Separated, Handlers-cleaners, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,45.0, United-States,<=50K -45, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -44, Local-gov, Masters,14.0, Divorced, Prof-specialty, Not-in-family, White, Female,8614.0,0.0,35.0, United-States,>50K -65, Private, 7th-8th,4.0, Widowed, Priv-house-serv, Not-in-family, White, Female,0.0,3175.0,60.0, Puerto-Rico,<=50K -29, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,2885.0,0.0,40.0, United-States,<=50K -49, State-gov, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -48, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,65.0, United-States,>50K -28, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,37.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,24.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, Some-college,10.0, Never-married, Sales, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -53, Self-emp-inc, Doctorate,16.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, India,>50K -49, Private, Assoc-voc,11.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Federal-gov, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -48, Local-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -51, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,30.0, Italy,<=50K -32, Private, 11th,7.0, Never-married, Farming-fishing, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Federal-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,30.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Divorced, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,35.0, United-States,<=50K -27, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,4386.0,0.0,40.0, United-States,>50K -28, Private, HS-grad,9.0, Separated, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Other, Female,0.0,0.0,40.0, United-States,<=50K -54, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Assoc-voc,11.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, 7th-8th,4.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,35.0, United-States,<=50K -27, Local-gov, HS-grad,9.0, Never-married, Protective-serv, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -42, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Some-college,10.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,50.0, United-States,<=50K -28, Federal-gov, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, Black, Male,0.0,0.0,45.0, United-States,<=50K -50, Private, Doctorate,16.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,0.0,0.0,30.0, Ecuador,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,70.0, United-States,<=50K -41, Private, 9th,5.0, Married-civ-spouse, Tech-support, Wife, White, Female,0.0,0.0,80.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -38, Private, HS-grad,9.0, Separated, Adm-clerical, Unmarried, White, Female,3887.0,0.0,45.0, United-States,<=50K -46, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,>50K -23, Local-gov, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,1590.0,40.0, United-States,<=50K -33, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,47.0, United-States,<=50K -56, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -38, Private, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -21, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -19, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,28.0, United-States,<=50K -23, Private, Some-college,10.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,35.0, United-States,<=50K -69, Local-gov, Assoc-acdm,12.0, Widowed, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,>50K -53, Private, Some-college,10.0, Widowed, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Separated, Other-service, Other-relative, White, Male,0.0,0.0,28.0, United-States,<=50K -60, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,44.0, Mexico,<=50K -21, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -46, State-gov, 10th,6.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,38.0, United-States,<=50K -23, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Other, Female,0.0,0.0,40.0, Canada,<=50K -26, Private, 11th,7.0, Never-married, Exec-managerial, Not-in-family, Black, Male,0.0,0.0,50.0, United-States,<=50K -72, Private, 7th-8th,4.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -48, Private, 1st-4th,2.0, Separated, Machine-op-inspct, Other-relative, Black, Male,0.0,0.0,48.0, United-States,<=50K -26, Private, Assoc-acdm,12.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,15.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -72, Private, HS-grad,9.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,17.0, United-States,<=50K -26, Private, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -46, Self-emp-not-inc, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -47, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024.0,0.0,40.0, United-States,>50K -22, Private, HS-grad,9.0, Married-spouse-absent, Sales, Unmarried, White, Female,0.0,0.0,30.0, United-States,<=50K -60, Private, Some-college,10.0, Widowed, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, 9th,5.0, Divorced, Transport-moving, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -32, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024.0,0.0,50.0, United-States,>50K -52, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,52.0, United-States,>50K -54, Federal-gov, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -52, Local-gov, Assoc-voc,11.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -50, Private, 11th,7.0, Divorced, Protective-serv, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,25.0, United-States,<=50K -29, Private, Some-college,10.0, Never-married, Machine-op-inspct, Other-relative, White, Male,0.0,0.0,40.0, Columbia,<=50K -29, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,30.0, United-States,>50K -21, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -62, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -61, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -72, Local-gov, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, Black, Female,0.0,0.0,16.0, United-States,<=50K -33, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -34, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -26, Local-gov, Some-college,10.0, Never-married, Protective-serv, Not-in-family, White, Male,0.0,0.0,60.0, United-States,>50K -33, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -41, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -55, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -42, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -46, Federal-gov, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -38, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -39, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,54.0, Mexico,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,64.0, United-States,<=50K -38, Private, Some-college,10.0, Never-married, Craft-repair, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024.0,0.0,50.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Puerto-Rico,<=50K -33, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -44, Private, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -45, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, 9th,5.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,54.0, United-States,<=50K -40, Private, 5th-6th,3.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -26, Local-gov, Assoc-voc,11.0, Never-married, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, Some-college,10.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -46, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -41, Private, Some-college,10.0, Married-civ-spouse, Other-service, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -34, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -39, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -50, Private, Assoc-acdm,12.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -41, Private, Assoc-acdm,12.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Female,0.0,0.0,15.0, United-States,<=50K -35, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -18, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -52, Private, HS-grad,9.0, Divorced, Other-service, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Sales, Other-relative, Black, Male,0.0,0.0,50.0, United-States,<=50K -31, Private, Some-college,10.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -28, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -33, Private, Assoc-acdm,12.0, Never-married, Sales, Unmarried, Black, Male,0.0,0.0,32.0, United-States,<=50K -48, Private, Bachelors,13.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -62, State-gov, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, Cuba,>50K -39, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Divorced, Priv-house-serv, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,35.0, United-States,<=50K -57, Self-emp-not-inc, Assoc-acdm,12.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,15.0, United-States,<=50K -49, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -30, Local-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3137.0,0.0,70.0, Germany,<=50K -53, Private, 9th,5.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Exec-managerial, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, Assoc-acdm,12.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -64, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -37, Private, Assoc-acdm,12.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Local-gov, HS-grad,9.0, Widowed, Transport-moving, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -41, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -36, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,46.0, United-States,>50K -27, Private, Assoc-acdm,12.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,24.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Private, 11th,7.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, 5th-6th,3.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -53, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688.0,0.0,48.0, United-States,>50K -32, Private, 1st-4th,2.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,21.0, United-States,<=50K -60, Private, 5th-6th,3.0, Divorced, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -58, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -53, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1887.0,48.0, Canada,>50K -54, Local-gov, Some-college,10.0, Married-civ-spouse, Exec-managerial, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -26, Private, 9th,5.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,45.0, Mexico,<=50K -27, Private, Some-college,10.0, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0.0,0.0,56.0, United-States,<=50K -59, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,7.0, United-States,>50K -70, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,3471.0,0.0,33.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Transport-moving, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,30.0, United-States,<=50K -22, Private, 11th,7.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Transport-moving, Not-in-family, Black, Male,0.0,0.0,75.0, United-States,<=50K -46, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -56, State-gov, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, 10th,6.0, Never-married, Other-service, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -53, Local-gov, Bachelors,13.0, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0.0,0.0,50.0, Philippines,<=50K -57, State-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, Mexico,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,25.0, United-States,<=50K -47, Private, Assoc-acdm,12.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -51, Self-emp-inc, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,1741.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Divorced, Adm-clerical, Not-in-family, White, Female,8614.0,0.0,70.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -29, Private, Bachelors,13.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,25.0, United-States,>50K -23, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,50.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Own-child, Black, Female,0.0,0.0,40.0, United-States,<=50K -30, Private, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178.0,0.0,40.0, United-States,>50K -42, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -52, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Local-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Some-college,10.0, Never-married, Handlers-cleaners, Other-relative, White, Male,0.0,0.0,40.0, Mexico,<=50K -34, Private, HS-grad,9.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,38.0, United-States,<=50K -43, Private, Doctorate,16.0, Separated, Exec-managerial, Not-in-family, White, Female,14084.0,0.0,60.0, United-States,>50K -61, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -49, Private, 10th,6.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -42, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Other-service, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -50, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298.0,0.0,45.0, United-States,>50K -34, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -47, State-gov, Some-college,10.0, Divorced, Tech-support, Unmarried, Black, Female,0.0,0.0,48.0, United-States,<=50K -48, Private, HS-grad,9.0, Widowed, Craft-repair, Not-in-family, White, Female,0.0,0.0,60.0, United-States,>50K -37, Private, Some-college,10.0, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -23, Private, HS-grad,9.0, Never-married, Farming-fishing, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -66, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,10605.0,0.0,40.0, United-States,>50K -26, Private, 5th-6th,3.0, Never-married, Handlers-cleaners, Own-child, Black, Female,0.0,0.0,40.0, Dominican-Republic,<=50K -41, Private, HS-grad,9.0, Divorced, Exec-managerial, Not-in-family, White, Male,2174.0,0.0,50.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0.0,0.0,37.0, United-States,<=50K -34, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,55.0, United-States,<=50K -59, Local-gov, Some-college,10.0, Widowed, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -24, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -47, Private, Assoc-voc,11.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,48.0, United-States,>50K -49, Private, HS-grad,9.0, Separated, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Divorced, Sales, Not-in-family, White, Male,0.0,0.0,40.0, Outlying-US(Guam-USVI-etc),<=50K -31, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, 11th,7.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Private, 11th,7.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -26, Private, Bachelors,13.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Bachelors,13.0, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0.0,0.0,40.0, Philippines,<=50K -42, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,40.0, Taiwan,>50K -64, Private, 11th,7.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Private, Some-college,10.0, Never-married, Exec-managerial, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -25, Federal-gov, Masters,14.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -41, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -45, Private, Some-college,10.0, Separated, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -36, Local-gov, HS-grad,9.0, Married-spouse-absent, Protective-serv, Not-in-family, White, Male,0.0,0.0,69.0, Germany,>50K -36, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298.0,0.0,50.0, United-States,>50K -22, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -25, State-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,46.0, United-States,<=50K -47, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Self-emp-not-inc, 7th-8th,4.0, Divorced, Farming-fishing, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, Bachelors,13.0, Divorced, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, El-Salvador,<=50K -48, Private, Assoc-acdm,12.0, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0.0,0.0,55.0, United-States,<=50K -27, State-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,16.0, United-States,<=50K -35, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,55.0, United-States,<=50K -75, Private, HS-grad,9.0, Divorced, Handlers-cleaners, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -34, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103.0,0.0,45.0, United-States,>50K -28, Federal-gov, Some-college,10.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Private, 11th,7.0, Never-married, Craft-repair, Unmarried, White, Male,1151.0,0.0,40.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,1741.0,50.0, United-States,<=50K -40, Private, Some-college,10.0, Divorced, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Federal-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, 10th,6.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -39, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -40, Private, Assoc-acdm,12.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, 11th,7.0, Separated, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -73, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, Some-college,10.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,18.0, United-States,<=50K -24, Private, Masters,14.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,15.0, United-States,<=50K -34, Local-gov, Assoc-acdm,12.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -28, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, White, Female,0.0,0.0,45.0, Japan,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -42, Private, 12th,8.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,30.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, Poland,>50K -46, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,35.0, Cuba,>50K -48, Federal-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1740.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Unmarried, White, Male,0.0,0.0,40.0, Germany,<=50K -26, Private, HS-grad,9.0, Never-married, Craft-repair, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -55, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -57, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -43, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, 12th,8.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,32.0, United-States,<=50K -37, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -25, Private, 9th,5.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-inc, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -21, Private, Some-college,10.0, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0.0,0.0,15.0, South,<=50K -84, Private, HS-grad,9.0, Widowed, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,40.0, England,<=50K -24, Private, 5th-6th,3.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,60.0, Mexico,<=50K -44, Private, Some-college,10.0, Separated, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,1902.0,40.0, United-States,>50K -20, Private, HS-grad,9.0, Never-married, Sales, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -37, Private, Some-college,10.0, Never-married, Tech-support, Unmarried, White, Female,4934.0,0.0,60.0, United-States,>50K -30, Private, 11th,7.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -51, Private, Masters,14.0, Widowed, Exec-managerial, Unmarried, White, Male,15020.0,0.0,40.0, United-States,>50K -52, Private, 7th-8th,4.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, State-gov, HS-grad,9.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -34, Local-gov, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,43.0, United-States,<=50K -53, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -40, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -49, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,3411.0,0.0,40.0, United-States,<=50K -52, Private, Some-college,10.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -48, State-gov, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -30, Local-gov, Bachelors,13.0, Separated, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, HS-grad,9.0, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -42, Private, Some-college,10.0, Divorced, Craft-repair, Unmarried, White, Male,0.0,0.0,30.0, United-States,<=50K -29, Private, HS-grad,9.0, Never-married, Protective-serv, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -25, Local-gov, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -18, Self-emp-inc, 12th,8.0, Never-married, Farming-fishing, Own-child, White, Male,0.0,0.0,10.0, United-States,<=50K -19, Private, Some-college,10.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -80, Private, HS-grad,9.0, Widowed, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -61, Private, Preschool,1.0, Separated, Transport-moving, Not-in-family, Black, Male,14344.0,0.0,40.0, United-States,>50K -46, Self-emp-not-inc, Bachelors,13.0, Separated, Other-service, Unmarried, White, Female,0.0,0.0,45.0, Nicaragua,<=50K -27, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -26, Private, 10th,6.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -50, State-gov, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -38, Federal-gov, 12th,8.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,56.0, United-States,>50K -28, Private, Assoc-voc,11.0, Married-civ-spouse, Tech-support, Husband, Other, Male,0.0,0.0,40.0, Mexico,<=50K -34, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -23, Private, Some-college,10.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -65, Local-gov, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,2964.0,0.0,35.0, United-States,<=50K -35, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -65, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,32.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0.0,0.0,40.0, United-States,<=50K -35, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Transport-moving, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0.0,0.0,70.0, South,<=50K -49, Private, 10th,6.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,1485.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,40.0, United-States,<=50K -44, Federal-gov, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, Assoc-voc,11.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -19, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -49, Private, HS-grad,9.0, Divorced, Sales, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -23, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,1590.0,50.0, United-States,<=50K -49, Private, Some-college,10.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,1977.0,50.0, United-States,>50K -45, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Federal-gov, Some-college,10.0, Never-married, Craft-repair, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -56, Private, 11th,7.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298.0,0.0,40.0, United-States,>50K -35, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Other-relative, Other, Male,0.0,0.0,25.0, Columbia,<=50K -80, Self-emp-not-inc, 7th-8th,4.0, Married-spouse-absent, Farming-fishing, Unmarried, White, Male,0.0,0.0,15.0, United-States,<=50K -65, Private, HS-grad,9.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -51, Private, Some-college,10.0, Widowed, Other-service, Unmarried, White, Female,0.0,0.0,25.0, United-States,<=50K -22, Private, Assoc-voc,11.0, Never-married, Sales, Own-child, White, Male,0.0,0.0,45.0, United-States,<=50K -33, Private, Assoc-voc,11.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -44, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -20, Private, Some-college,10.0, Never-married, Sales, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -43, Private, Some-college,10.0, Separated, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0.0,0.0,36.0, United-States,<=50K -57, Private, 11th,7.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -37, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -28, Self-emp-not-inc, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -30, Private, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,50.0, United-States,<=50K -32, Local-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -59, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Other-relative, White, Male,0.0,0.0,40.0, Nicaragua,<=50K -36, Private, 12th,8.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -38, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -61, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,30.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -59, Self-emp-inc, Masters,14.0, Divorced, Prof-specialty, Unmarried, White, Male,0.0,0.0,55.0, United-States,<=50K -18, Private, 12th,8.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,12.0, United-States,<=50K -44, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, Jamaica,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, 10th,6.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, Greece,<=50K -49, Private, Doctorate,16.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,45.0, United-States,>50K -59, Self-emp-not-inc, 10th,6.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,36.0, United-States,<=50K -36, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,99999.0,0.0,45.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,24.0, United-States,<=50K -27, Private, HS-grad,9.0, Never-married, Craft-repair, Not-in-family, White, Male,0.0,1741.0,40.0, United-States,<=50K -69, Self-emp-not-inc, 7th-8th,4.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -36, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -42, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999.0,0.0,42.0, United-States,>50K -25, Private, HS-grad,9.0, Never-married, Adm-clerical, Own-child, White, Female,2174.0,0.0,40.0, United-States,<=50K -17, Private, 9th,5.0, Never-married, Other-service, Not-in-family, White, Male,0.0,0.0,50.0, United-States,<=50K -40, Local-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -40, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Black, Male,0.0,0.0,43.0, United-States,<=50K -17, Private, 10th,6.0, Never-married, Other-service, Own-child, White, Male,0.0,0.0,25.0, United-States,<=50K -40, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,84.0, United-States,<=50K -65, Private, HS-grad,9.0, Widowed, Priv-house-serv, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -38, Private, Bachelors,13.0, Separated, Farming-fishing, Unmarried, White, Female,0.0,0.0,45.0, United-States,<=50K -33, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Female,0.0,1590.0,50.0, United-States,<=50K -28, Private, Bachelors,13.0, Divorced, Tech-support, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0.0,0.0,35.0, Vietnam,<=50K -34, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, Assoc-voc,11.0, Widowed, Tech-support, Unmarried, White, Female,0.0,0.0,8.0, United-States,<=50K -63, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,>50K -28, Private, 9th,5.0, Married-civ-spouse, Other-service, Other-relative, White, Female,0.0,0.0,35.0, United-States,<=50K -30, Local-gov, Assoc-voc,11.0, Divorced, Adm-clerical, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -36, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Self-emp-not-inc, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -24, Local-gov, HS-grad,9.0, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,2036.0,0.0,42.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -17, Private, 11th,7.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,10.0, United-States,<=50K -46, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -54, Private, Some-college,10.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,60.0, United-States,<=50K -22, Self-emp-inc, Bachelors,13.0, Never-married, Handlers-cleaners, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -42, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0.0,0.0,60.0, South,<=50K -46, Private, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Tech-support, Husband, White, Male,7298.0,0.0,65.0, United-States,>50K -44, Private, Assoc-acdm,12.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -59, Self-emp-inc, Prof-school,15.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999.0,0.0,84.0, United-States,>50K -58, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -36, Private, 10th,6.0, Separated, Handlers-cleaners, Unmarried, Black, Male,0.0,0.0,40.0, United-States,<=50K -29, Private, 11th,7.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Divorced, Transport-moving, Not-in-family, White, Male,0.0,1564.0,40.0, United-States,>50K -29, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, Canada,>50K -40, Private, 7th-8th,4.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -30, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,2339.0,50.0, United-States,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -24, Private, 7th-8th,4.0, Married-civ-spouse, Farming-fishing, Own-child, White, Female,0.0,0.0,45.0, Mexico,<=50K -42, Federal-gov, Some-college,10.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -50, Private, Some-college,10.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -29, Private, 11th,7.0, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Male,4101.0,0.0,40.0, United-States,<=50K -35, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,55.0, United-States,<=50K -44, Private, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,55.0, United-States,>50K -54, Private, Doctorate,16.0, Widowed, Tech-support, Unmarried, White, Male,0.0,2472.0,40.0, United-States,>50K -56, Private, 7th-8th,4.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, Dominican-Republic,<=50K -29, Private, Bachelors,13.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Private, Some-college,10.0, Widowed, Other-service, Unmarried, Black, Female,0.0,0.0,20.0, United-States,<=50K -48, Federal-gov, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -32, Private, Masters,14.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,50.0, United-States,<=50K -69, Private, HS-grad,9.0, Divorced, Sales, Other-relative, White, Female,0.0,0.0,38.0, United-States,<=50K -23, State-gov, Some-college,10.0, Separated, Prof-specialty, Not-in-family, White, Female,0.0,0.0,20.0, United-States,<=50K -22, Private, HS-grad,9.0, Never-married, Other-service, Other-relative, Black, Female,0.0,0.0,15.0, United-States,<=50K -45, Private, Assoc-voc,11.0, Divorced, Exec-managerial, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -45, Private, Some-college,10.0, Divorced, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -47, Self-emp-not-inc, Assoc-voc,11.0, Separated, Exec-managerial, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -25, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,50.0, India,<=50K -43, Private, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, Black, Male,5178.0,0.0,40.0, United-States,>50K -47, State-gov, Bachelors,13.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,80.0, United-States,<=50K -34, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,41.0, United-States,>50K -30, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, Black, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,75.0, United-States,<=50K -43, Private, Some-college,10.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,55.0, Canada,<=50K -20, Private, Some-college,10.0, Never-married, Adm-clerical, Own-child, White, Female,0.0,0.0,16.0, United-States,<=50K -83, Private, Some-college,10.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,20.0, United-States,<=50K -42, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,>50K -42, Local-gov, Masters,14.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -30, Local-gov, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -34, State-gov, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,1651.0,40.0, United-States,<=50K -43, Private, HS-grad,9.0, Married-civ-spouse, Other-service, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -53, Private, Assoc-voc,11.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,35.0, United-States,<=50K -39, Self-emp-not-inc, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, Black, Female,0.0,0.0,48.0, United-States,>50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -18, State-gov, HS-grad,9.0, Never-married, Adm-clerical, Own-child, Black, Female,0.0,0.0,20.0, United-States,<=50K -34, Private, 10th,6.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -32, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,0.0,60.0, United-States,<=50K -48, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -19, Private, Some-college,10.0, Never-married, Sales, Own-child, White, Female,0.0,0.0,20.0, United-States,<=50K -55, Local-gov, HS-grad,9.0, Divorced, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Male,0.0,0.0,8.0, United-States,<=50K -37, Private, Assoc-voc,11.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,38.0, United-States,<=50K -24, Private, Bachelors,13.0, Never-married, Tech-support, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Assoc-voc,11.0, Separated, Adm-clerical, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -39, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,3908.0,0.0,72.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Husband, White, Male,0.0,0.0,65.0, United-States,<=50K -44, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -35, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, Germany,<=50K -27, Private, HS-grad,9.0, Never-married, Exec-managerial, Not-in-family, White, Male,0.0,0.0,48.0, United-States,<=50K -18, Private, 11th,7.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -43, Private, Some-college,10.0, Never-married, Exec-managerial, Not-in-family, White, Female,2174.0,0.0,40.0, United-States,<=50K -51, Local-gov, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,54.0, United-States,>50K -26, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, Trinadad&Tobago,<=50K -41, State-gov, HS-grad,9.0, Married-civ-spouse, Farming-fishing, Other-relative, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,62.0, United-States,<=50K -31, Private, Assoc-acdm,12.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -56, State-gov, 10th,6.0, Widowed, Other-service, Not-in-family, White, Female,0.0,0.0,37.0, United-States,<=50K -39, Federal-gov, Masters,14.0, Married-civ-spouse, Other-service, Husband, Black, Male,3137.0,0.0,40.0, Trinadad&Tobago,<=50K -42, Private, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -33, Private, 12th,8.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -23, Local-gov, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Female,0.0,0.0,43.0, United-States,<=50K -55, Private, Assoc-voc,11.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -79, Local-gov, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,15.0, United-States,<=50K -47, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -51, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0.0,0.0,40.0, United-States,<=50K -37, Private, HS-grad,9.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -47, Local-gov, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -44, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -41, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Private, Bachelors,13.0, Divorced, Exec-managerial, Unmarried, White, Male,0.0,0.0,45.0, United-States,>50K -45, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,36.0, United-States,>50K -38, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -46, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -47, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,90.0, United-States,<=50K -26, Private, HS-grad,9.0, Never-married, Adm-clerical, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -48, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -55, Self-emp-inc, Assoc-voc,11.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -28, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,65.0, United-States,>50K -31, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -27, Private, HS-grad,9.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,45.0, United-States,<=50K -23, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Exec-managerial, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Private, 12th,8.0, Widowed, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male,0.0,0.0,40.0, Guatemala,<=50K -39, Private, Bachelors,13.0, Never-married, Exec-managerial, Not-in-family, White, Female,0.0,1974.0,40.0, United-States,<=50K -25, Private, Bachelors,13.0, Married-civ-spouse, Sales, Wife, White, Female,0.0,0.0,45.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -64, Local-gov, Doctorate,16.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,45.0, United-States,>50K -55, Local-gov, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,1902.0,40.0, United-States,>50K -46, Private, 10th,6.0, Divorced, Sales, Unmarried, White, Female,0.0,0.0,35.0, United-States,<=50K -23, Private, Some-college,10.0, Never-married, Prof-specialty, Not-in-family, White, Male,0.0,0.0,20.0, United-States,<=50K -28, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -37, Private, Masters,14.0, Never-married, Exec-managerial, Own-child, White, Male,0.0,0.0,40.0, United-States,>50K -27, Private, Masters,14.0, Married-civ-spouse, Adm-clerical, Wife, White, Female,0.0,0.0,20.0, United-States,>50K -35, Private, Assoc-acdm,12.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -35, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, Japan,<=50K -45, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0.0,0.0,15.0, United-States,<=50K -59, State-gov, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103.0,0.0,40.0, United-States,>50K -31, Private, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,15024.0,0.0,60.0, United-States,>50K -35, Private, HS-grad,9.0, Divorced, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -58, Private, 10th,6.0, Divorced, Other-service, Unmarried, White, Female,0.0,0.0,65.0, United-States,<=50K -41, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -20, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,30.0, United-States,<=50K -39, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0.0,0.0,38.0, India,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -34, Private, HS-grad,9.0, Divorced, Adm-clerical, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -33, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,35.0, United-States,<=50K -33, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,2829.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -56, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -20, Private, HS-grad,9.0, Never-married, Other-service, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -68, Self-emp-not-inc, Some-college,10.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,10.0, United-States,<=50K -43, Self-emp-not-inc, Masters,14.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,45.0, United-States,<=50K -25, Private, Bachelors,13.0, Never-married, Sales, Not-in-family, White, Male,0.0,0.0,60.0, United-States,<=50K -35, Local-gov, Assoc-acdm,12.0, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0.0,0.0,40.0, Vietnam,<=50K -57, Private, Assoc-voc,11.0, Divorced, Other-service, Other-relative, Asian-Pac-Islander, Female,0.0,0.0,40.0, Outlying-US(Guam-USVI-etc),<=50K -57, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,44.0, United-States,>50K -37, State-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male,0.0,0.0,40.0, United-States,<=50K -18, Private, Some-college,10.0, Never-married, Other-service, Other-relative, White, Female,0.0,0.0,40.0, United-States,<=50K -29, Private, HS-grad,9.0, Married-civ-spouse, Tech-support, Wife, Asian-Pac-Islander, Female,4386.0,0.0,45.0, United-States,>50K -24, Private, HS-grad,9.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -36, Local-gov, Bachelors,13.0, Divorced, Prof-specialty, Unmarried, White, Female,0.0,0.0,52.0, United-States,<=50K -23, Private, Some-college,10.0, Divorced, Adm-clerical, Other-relative, White, Female,0.0,0.0,20.0, United-States,<=50K -36, Private, HS-grad,9.0, Never-married, Craft-repair, Own-child, Black, Male,0.0,0.0,40.0, United-States,<=50K -52, Private, HS-grad,9.0, Divorced, Craft-repair, Unmarried, White, Female,0.0,0.0,40.0, United-States,<=50K -41, Private, Some-college,10.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K -18, Private, HS-grad,9.0, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0.0,0.0,15.0, United-States,<=50K -32, Private, 11th,7.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,1672.0,48.0, United-States,<=50K -34, Self-emp-inc, HS-grad,9.0, Divorced, Sales, Unmarried, White, Male,0.0,0.0,50.0, United-States,>50K -29, Private, Bachelors,13.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,36.0, United-States,<=50K -56, Self-emp-not-inc, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -60, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,60.0, United-States,<=50K -19, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,1602.0,20.0, United-States,<=50K -30, Private, HS-grad,9.0, Separated, Other-service, Not-in-family, White, Female,0.0,0.0,35.0, United-States,<=50K -50, Self-emp-not-inc, Bachelors,13.0, Divorced, Craft-repair, Not-in-family, White, Male,27828.0,0.0,16.0, United-States,>50K -52, Private, HS-grad,9.0, Married-civ-spouse, Prof-specialty, Wife, White, Female,0.0,0.0,40.0, Peru,>50K -66, Self-emp-not-inc, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,20.0, United-States,<=50K -28, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -35, Local-gov, Some-college,10.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,40.0, United-States,>50K -29, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -50, Private, 7th-8th,4.0, Married-civ-spouse, Transport-moving, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -34, Federal-gov, HS-grad,9.0, Married-civ-spouse, Craft-repair, Wife, White, Female,0.0,0.0,40.0, United-States,>50K -37, Private, HS-grad,9.0, Married-civ-spouse, Transport-moving, Husband, Black, Male,0.0,0.0,50.0, United-States,<=50K -29, Local-gov, HS-grad,9.0, Married-civ-spouse, Protective-serv, Husband, Black, Male,0.0,2057.0,40.0, United-States,<=50K -34, Private, Some-college,10.0, Divorced, Other-service, Not-in-family, White, Female,0.0,0.0,34.0, United-States,<=50K -27, Private, Bachelors,13.0, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,2202.0,0.0,52.0, Philippines,<=50K -57, Private, 12th,8.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -30, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,80.0, United-States,>50K -21, Private, HS-grad,9.0, Never-married, Handlers-cleaners, Own-child, White, Female,0.0,0.0,30.0, United-States,<=50K -57, Private, Some-college,10.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,60.0, United-States,>50K -51, Private, Bachelors,13.0, Divorced, Tech-support, Not-in-family, White, Male,0.0,1590.0,40.0, United-States,<=50K -37, Federal-gov, Masters,14.0, Never-married, Adm-clerical, Not-in-family, White, Male,0.0,0.0,42.0, United-States,<=50K -42, Private, Assoc-voc,11.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -32, Private, Assoc-voc,11.0, Married-civ-spouse, Sales, Husband, White, Male,5178.0,0.0,60.0, United-States,>50K -51, Self-emp-not-inc, Bachelors,13.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,40.0, United-States,>50K -19, Private, 9th,5.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,20.0, United-States,<=50K -24, Private, 11th,7.0, Separated, Craft-repair, Not-in-family, White, Male,0.0,0.0,40.0, Mexico,<=50K -25, Private, HS-grad,9.0, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0.0,0.0,40.0, United-States,<=50K -31, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -49, Self-emp-inc, HS-grad,9.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,40.0, Canada,>50K -60, Private, Assoc-voc,11.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688.0,0.0,40.0, United-States,>50K -39, Private, Bachelors,13.0, Never-married, Tech-support, Not-in-family, White, Female,0.0,1669.0,40.0, United-States,<=50K -38, Private, Masters,14.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,>50K -43, Local-gov, Masters,14.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,1902.0,50.0, United-States,>50K -23, Private, HS-grad,9.0, Never-married, Machine-op-inspct, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -73, Self-emp-inc, Some-college,10.0, Divorced, Exec-managerial, Not-in-family, White, Female,0.0,0.0,40.0, United-States,<=50K -35, Private, Some-college,10.0, Married-civ-spouse, Protective-serv, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -66, Private, HS-grad,9.0, Widowed, Sales, Other-relative, White, Female,0.0,0.0,8.0, United-States,<=50K -27, Private, Some-college,10.0, Never-married, Sales, Not-in-family, White, Female,0.0,0.0,45.0, United-States,<=50K -40, Private, Prof-school,15.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024.0,0.0,55.0, United-States,>50K -51, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -22, Private, Some-college,10.0, Never-married, Craft-repair, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -64, Self-emp-not-inc, HS-grad,9.0, Widowed, Farming-fishing, Not-in-family, White, Male,0.0,0.0,32.0, United-States,<=50K -55, Private, HS-grad,9.0, Separated, Priv-house-serv, Not-in-family, White, Female,0.0,0.0,32.0, United-States,<=50K -38, Private, Assoc-voc,11.0, Never-married, Adm-clerical, Unmarried, Black, Female,0.0,0.0,40.0, United-States,<=50K -58, Private, Assoc-acdm,12.0, Divorced, Prof-specialty, Not-in-family, White, Male,0.0,0.0,36.0, United-States,<=50K -32, Private, HS-grad,9.0, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -48, Private, HS-grad,9.0, Married-civ-spouse, Adm-clerical, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -61, Private, HS-grad,9.0, Married-civ-spouse, Sales, Husband, White, Male,0.0,0.0,48.0, United-States,<=50K -31, Private, HS-grad,9.0, Married-civ-spouse, Craft-repair, Husband, White, Male,0.0,0.0,40.0, United-States,<=50K -25, Private, HS-grad,9.0, Never-married, Other-service, Own-child, White, Female,0.0,0.0,40.0, United-States,<=50K -48, Local-gov, Masters,14.0, Divorced, Other-service, Not-in-family, White, Male,0.0,0.0,40.0, United-States,<=50K -33, Private, Bachelors,13.0, Never-married, Prof-specialty, Own-child, White, Male,0.0,0.0,40.0, United-States,<=50K -39, Private, Bachelors,13.0, Divorced, Prof-specialty, Not-in-family, White, Female,0.0,0.0,36.0, United-States,<=50K -38, Private, Bachelors,13.0, Married-civ-spouse, Prof-specialty, Husband, White, Male,0.0,0.0,50.0, United-States,<=50K -44, Private, Bachelors,13.0, Divorced, Adm-clerical, Own-child, Asian-Pac-Islander, Male,5455.0,0.0,40.0, United-States,<=50K -35, Self-emp-inc, Bachelors,13.0, Married-civ-spouse, Exec-managerial, Husband, White, Male,0.0,0.0,60.0, United-States,>50K diff --git a/finding_donors/finding_donors.ipynb b/finding_donors/finding_donors.ipynb deleted file mode 100644 index 6a5adaf..0000000 --- a/finding_donors/finding_donors.ipynb +++ /dev/null @@ -1,1306 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Machine Learning Engineer Nanodegree\n", - "## Supervised Learning\n", - "## Project: Finding Donors for *CharityML*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Welcome to the second project of the Machine Learning Engineer Nanodegree! In this notebook, some template code has already been provided for you, and it will be your job to implement the additional functionality necessary to successfully complete this project. Sections that begin with **'Implementation'** in the header indicate that the following block of code will require additional functionality which you must provide. Instructions will be provided for each section and the specifics of the implementation are marked in the code block with a `'TODO'` statement. Please be sure to read the instructions carefully!\n", - "\n", - "In addition to implementing code, there will be questions that you must answer which relate to the project and your implementation. Each section where you will answer a question is preceded by a **'Question X'** header. Carefully read each question and provide thorough answers in the following text boxes that begin with **'Answer:'**. Your project submission will be evaluated based on your answers to each of the questions and the implementation you provide. \n", - "\n", - ">**Note:** Please specify WHICH VERSION OF PYTHON you are using when submitting this notebook. Code and Markdown cells can be executed using the **Shift + Enter** keyboard shortcut. In addition, Markdown cells can be edited by typically double-clicking the cell to enter edit mode." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Getting Started\n", - "\n", - "In this project, you will employ several supervised algorithms of your choice to accurately model individuals' income using data collected from the 1994 U.S. Census. You will then choose the best candidate algorithm from preliminary results and further optimize this algorithm to best model the data. Your goal with this implementation is to construct a model that accurately predicts whether an individual makes more than $50,000. This sort of task can arise in a non-profit setting, where organizations survive on donations. Understanding an individual's income can help a non-profit better understand how large of a donation to request, or whether or not they should reach out to begin with. While it can be difficult to determine an individual's general income bracket directly from public sources, we can (as we will see) infer this value from other publically available features. \n", - "\n", - "The dataset for this project originates from the [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/Census+Income). The datset was donated by Ron Kohavi and Barry Becker, after being published in the article _\"Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid\"_. You can find the article by Ron Kohavi [online](https://www.aaai.org/Papers/KDD/1996/KDD96-033.pdf). The data we investigate here consists of small changes to the original dataset, such as removing the `'fnlwgt'` feature and records with missing or ill-formatted entries." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "----\n", - "## Exploring the Data\n", - "Run the code cell below to load necessary Python libraries and load the census data. Note that the last column from this dataset, `'income'`, will be our target label (whether an individual makes more than, or at most, $50,000 annually). All other columns are features about each individual in the census database." - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
ageworkclasseducation_leveleducation-nummarital-statusoccupationrelationshipracesexcapital-gaincapital-losshours-per-weeknative-countryincome
039State-govBachelors13.0Never-marriedAdm-clericalNot-in-familyWhiteMale2174.00.040.0United-States<=50K
\n", - "
" - ], - "text/plain": [ - " age workclass education_level education-num marital-status \\\n", - "0 39 State-gov Bachelors 13.0 Never-married \n", - "\n", - " occupation relationship race sex capital-gain capital-loss \\\n", - "0 Adm-clerical Not-in-family White Male 2174.0 0.0 \n", - "\n", - " hours-per-week native-country income \n", - "0 40.0 United-States <=50K " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Import libraries necessary for this project\n", - "import numpy as np\n", - "import pandas as pd\n", - "from time import time\n", - "from IPython.display import display # Allows the use of display() for DataFrames\n", - "\n", - "# Import supplementary visualization code visuals.py\n", - "import visuals as vs\n", - "\n", - "# Pretty display for notebooks\n", - "%matplotlib inline\n", - "\n", - "# Load the Census dataset\n", - "data = pd.read_csv(\"census.csv\")\n", - "\n", - "# Success - Display the first record\n", - "display(data.head(n=1))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Data Exploration\n", - "A cursory investigation of the dataset will determine how many individuals fit into either group, and will tell us about the percentage of these individuals making more than \\$50,000. In the code cell below, you will need to compute the following:\n", - "- The total number of records, `'n_records'`\n", - "- The number of individuals making more than \\$50,000 annually, `'n_greater_50k'`.\n", - "- The number of individuals making at most \\$50,000 annually, `'n_at_most_50k'`.\n", - "- The percentage of individuals making more than \\$50,000 annually, `'greater_percent'`.\n", - "\n", - "** HINT: ** You may need to look at the table above to understand how the `'income'` entries are formatted. " - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Total number of records: 45222\n", - "Individuals making more than $50,000: 11208\n", - "Individuals making at most $50,000: 34014\n", - "Percentage of individuals making more than $50,000: 24.78%\n" - ] - } - ], - "source": [ - "# TODO: Total number of records\n", - "#print(data)\n", - "n_records = data.shape[0]\n", - "\n", - "# TODO: Number of records where individual's income is more than $50,000\n", - "more_than_50k = data.loc[(data['income'] == '>50K')]\n", - "n_greater_50k = more_than_50k.shape[0]\n", - "\n", - "# TODO: Number of records where individual's income is at most $50,000\n", - "atmost_50k = data.loc[(data['income'] == '<=50K')]\n", - "n_at_most_50k = atmost_50k.shape[0]\n", - "\n", - "# TODO: Percentage of individuals whose income is more than $50,000\n", - "greater_percent = n_greater_50k*100/n_records\n", - "\n", - "# Print the results\n", - "print(\"Total number of records: {}\".format(n_records))\n", - "print(\"Individuals making more than $50,000: {}\".format(n_greater_50k))\n", - "print(\"Individuals making at most $50,000: {}\".format(n_at_most_50k))\n", - "print(\"Percentage of individuals making more than $50,000: {:.2f}%\".format(greater_percent))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "** Featureset Exploration **\n", - "\n", - "* **age**: continuous. \n", - "* **workclass**: Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked. \n", - "* **education**: Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool. \n", - "* **education-num**: continuous. \n", - "* **marital-status**: Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse. \n", - "* **occupation**: Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces. \n", - "* **relationship**: Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried. \n", - "* **race**: Black, White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other. \n", - "* **sex**: Female, Male. \n", - "* **capital-gain**: continuous. \n", - "* **capital-loss**: continuous. \n", - "* **hours-per-week**: continuous. \n", - "* **native-country**: United-States, Cambodia, England, Puerto-Rico, Canada, Germany, Outlying-US(Guam-USVI-etc), India, Japan, Greece, South, China, Cuba, Iran, Honduras, Philippines, Italy, Poland, Jamaica, Vietnam, Mexico, Portugal, Ireland, France, Dominican-Republic, Laos, Ecuador, Taiwan, Haiti, Columbia, Hungary, Guatemala, Nicaragua, Scotland, Thailand, Yugoslavia, El-Salvador, Trinadad&Tobago, Peru, Hong, Holand-Netherlands." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "----\n", - "## Preparing the Data\n", - "Before data can be used as input for machine learning algorithms, it often must be cleaned, formatted, and restructured — this is typically known as **preprocessing**. Fortunately, for this dataset, there are no invalid or missing entries we must deal with, however, there are some qualities about certain features that must be adjusted. This preprocessing can help tremendously with the outcome and predictive power of nearly all learning algorithms." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Transforming Skewed Continuous Features\n", - "A dataset may sometimes contain at least one feature whose values tend to lie near a single number, but will also have a non-trivial number of vastly larger or smaller values than that single number. Algorithms can be sensitive to such distributions of values and can underperform if the range is not properly normalized. With the census dataset two features fit this description: '`capital-gain'` and `'capital-loss'`. \n", - "\n", - "Run the code cell below to plot a histogram of these two features. Note the range of the values present and how they are distributed." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxAAAAF2CAYAAAD+y36TAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n2gQEAADQJiAAAIA2AQEAALQJCAAAoO0Ga7UEP7pgqRcAAAAASUVORK5CYII=\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Split the data into features and target label\n", - "income_raw = data['income']\n", - "features_raw = data.drop('income', axis = 1)\n", - "\n", - "# Visualize skewed continuous features of original data\n", - "vs.distribution(data)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For highly-skewed feature distributions such as `'capital-gain'` and `'capital-loss'`, it is common practice to apply a logarithmic transformation on the data so that the very large and very small values do not negatively affect the performance of a learning algorithm. Using a logarithmic transformation significantly reduces the range of values caused by outliers. Care must be taken when applying this transformation however: The logarithm of `0` is undefined, so we must translate the values by a small amount above `0` to apply the the logarithm successfully.\n", - "\n", - "Run the code cell below to perform a transformation on the data and visualize the results. Again, note the range of values and how they are distributed. " - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxAAAAF2CAYAAAD+y36TAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nlt95AAAAAElFTkSuQmCC\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Log-transform the skewed features\n", - "skewed = ['capital-gain', 'capital-loss']\n", - "features_log_transformed = pd.DataFrame(data = features_raw)\n", - "features_log_transformed[skewed] = features_raw[skewed].apply(lambda x: np.log(x + 1))\n", - "\n", - "# Visualize the new log distributions\n", - "vs.distribution(features_log_transformed, transformed = True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Normalizing Numerical Features\n", - "In addition to performing transformations on features that are highly skewed, it is often good practice to perform some type of scaling on numerical features. Applying a scaling to the data does not change the shape of each feature's distribution (such as `'capital-gain'` or `'capital-loss'` above); however, normalization ensures that each feature is treated equally when applying supervised learners. Note that once scaling is applied, observing the data in its raw form will no longer have the same original meaning, as exampled below.\n", - "\n", - "Run the code cell below to normalize each numerical feature. We will use [`sklearn.preprocessing.MinMaxScaler`](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html) for this." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
ageworkclasseducation_leveleducation-nummarital-statusoccupationrelationshipracesexcapital-gaincapital-losshours-per-weeknative-country
00.301370State-govBachelors0.800000Never-marriedAdm-clericalNot-in-familyWhiteMale0.6674920.00.397959United-States
10.452055Self-emp-not-incBachelors0.800000Married-civ-spouseExec-managerialHusbandWhiteMale0.0000000.00.122449United-States
20.287671PrivateHS-grad0.533333DivorcedHandlers-cleanersNot-in-familyWhiteMale0.0000000.00.397959United-States
30.493151Private11th0.400000Married-civ-spouseHandlers-cleanersHusbandBlackMale0.0000000.00.397959United-States
40.150685PrivateBachelors0.800000Married-civ-spouseProf-specialtyWifeBlackFemale0.0000000.00.397959Cuba
\n", - "
" - ], - "text/plain": [ - " age workclass education_level education-num \\\n", - "0 0.301370 State-gov Bachelors 0.800000 \n", - "1 0.452055 Self-emp-not-inc Bachelors 0.800000 \n", - "2 0.287671 Private HS-grad 0.533333 \n", - "3 0.493151 Private 11th 0.400000 \n", - "4 0.150685 Private Bachelors 0.800000 \n", - "\n", - " marital-status occupation relationship race sex \\\n", - "0 Never-married Adm-clerical Not-in-family White Male \n", - "1 Married-civ-spouse Exec-managerial Husband White Male \n", - "2 Divorced Handlers-cleaners Not-in-family White Male \n", - "3 Married-civ-spouse Handlers-cleaners Husband Black Male \n", - "4 Married-civ-spouse Prof-specialty Wife Black Female \n", - "\n", - " capital-gain capital-loss hours-per-week native-country \n", - "0 0.667492 0.0 0.397959 United-States \n", - "1 0.000000 0.0 0.122449 United-States \n", - "2 0.000000 0.0 0.397959 United-States \n", - "3 0.000000 0.0 0.397959 United-States \n", - "4 0.000000 0.0 0.397959 Cuba " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Import sklearn.preprocessing.StandardScaler\n", - "from sklearn.preprocessing import MinMaxScaler\n", - "\n", - "# Initialize a scaler, then apply it to the features\n", - "scaler = MinMaxScaler() # default=(0, 1)\n", - "numerical = ['age', 'education-num', 'capital-gain', 'capital-loss', 'hours-per-week']\n", - "\n", - "features_log_minmax_transform = pd.DataFrame(data = features_log_transformed)\n", - "features_log_minmax_transform[numerical] = scaler.fit_transform(features_log_transformed[numerical])\n", - "\n", - "# Show an example of a record with scaling applied\n", - "display(features_log_minmax_transform.head(n = 5))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Data Preprocessing\n", - "\n", - "From the table in **Exploring the Data** above, we can see there are several features for each record that are non-numeric. Typically, learning algorithms expect input to be numeric, which requires that non-numeric features (called *categorical variables*) be converted. One popular way to convert categorical variables is by using the **one-hot encoding** scheme. One-hot encoding creates a _\"dummy\"_ variable for each possible category of each non-numeric feature. For example, assume `someFeature` has three possible entries: `A`, `B`, or `C`. We then encode this feature into `someFeature_A`, `someFeature_B` and `someFeature_C`.\n", - "\n", - "| | someFeature | | someFeature_A | someFeature_B | someFeature_C |\n", - "| :-: | :-: | | :-: | :-: | :-: |\n", - "| 0 | B | | 0 | 1 | 0 |\n", - "| 1 | C | ----> one-hot encode ----> | 0 | 0 | 1 |\n", - "| 2 | A | | 1 | 0 | 0 |\n", - "\n", - "Additionally, as with the non-numeric features, we need to convert the non-numeric target label, `'income'` to numerical values for the learning algorithm to work. Since there are only two possible categories for this label (\"<=50K\" and \">50K\"), we can avoid using one-hot encoding and simply encode these two categories as `0` and `1`, respectively. In code cell below, you will need to implement the following:\n", - " - Use [`pandas.get_dummies()`](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.get_dummies.html?highlight=get_dummies#pandas.get_dummies) to perform one-hot encoding on the `'features_raw'` data.\n", - " - Convert the target label `'income_raw'` to numerical entries.\n", - " - Set records with \"<=50K\" to `0` and records with \">50K\" to `1`." - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "45222\n", - "103 total features after one-hot encoding.\n" - ] - } - ], - "source": [ - "# TODO: One-hot encode the 'features_log_minmax_transform' data using pandas.get_dummies()\n", - "features_final = pd.get_dummies(features_log_minmax_transform)\n", - "\n", - "# TODO: Encode the 'income_raw' data to numerical values\n", - "income = pd.get_dummies(income_raw)['>50K']\n", - "print(income.count())\n", - "# Print the number of features after one-hot encoding\n", - "encoded = list(features_final.columns)\n", - "print(\"{} total features after one-hot encoding.\".format(len(encoded)))\n", - "\n", - "# Uncomment the following line to see the encoded feature names\n", - "#print(encoded)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Shuffle and Split Data\n", - "Now all _categorical variables_ have been converted into numerical features, and all numerical features have been normalized. As always, we will now split the data (both features and their labels) into training and test sets. 80% of the data will be used for training and 20% for testing.\n", - "\n", - "Run the code cell below to perform this split." - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Training set has 36177 samples.\n", - "Testing set has 9045 samples.\n" - ] - } - ], - "source": [ - "# Import train_test_split\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Split the 'features' and 'income' data into training and testing sets\n", - "X_train, X_test, y_train, y_test = train_test_split(features_final, \n", - " income, \n", - " test_size = 0.2, \n", - " random_state = 0)\n", - "\n", - "# Show the results of the split\n", - "print(\"Training set has {} samples.\".format(X_train.shape[0]))\n", - "print(\"Testing set has {} samples.\".format(X_test.shape[0]))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "----\n", - "## Evaluating Model Performance\n", - "In this section, we will investigate four different algorithms, and determine which is best at modeling the data. Three of these algorithms will be supervised learners of your choice, and the fourth algorithm is known as a *naive predictor*." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Metrics and the Naive Predictor\n", - "*CharityML*, equipped with their research, knows individuals that make more than \\$50,000 are most likely to donate to their charity. Because of this, *CharityML* is particularly interested in predicting who makes more than \\$50,000 accurately. It would seem that using **accuracy** as a metric for evaluating a particular model's performace would be appropriate. Additionally, identifying someone that *does not* make more than \\$50,000 as someone who does would be detrimental to *CharityML*, since they are looking to find individuals willing to donate. Therefore, a model's ability to precisely predict those that make more than \\$50,000 is *more important* than the model's ability to **recall** those individuals. We can use **F-beta score** as a metric that considers both precision and recall:\n", - "\n", - "$$ F_{\\beta} = (1 + \\beta^2) \\cdot \\frac{precision \\cdot recall}{\\left( \\beta^2 \\cdot precision \\right) + recall} $$\n", - "\n", - "In particular, when $\\beta = 0.5$, more emphasis is placed on precision. This is called the **F$_{0.5}$ score** (or F-score for simplicity).\n", - "\n", - "Looking at the distribution of classes (those who make at most \\$50,000, and those who make more), it's clear most individuals do not make more than \\$50,000. This can greatly affect **accuracy**, since we could simply say *\"this person does not make more than \\$50,000\"* and generally be right, without ever looking at the data! Making such a statement would be called **naive**, since we have not considered any information to substantiate the claim. It is always important to consider the *naive prediction* for your data, to help establish a benchmark for whether a model is performing well. That been said, using that prediction would be pointless: If we predicted all people made less than \\$50,000, *CharityML* would identify no one as donors. \n", - "\n", - "\n", - "#### Note: Recap of accuracy, precision, recall\n", - "\n", - "** Accuracy ** measures how often the classifier makes the correct prediction. It’s the ratio of the number of correct predictions to the total number of predictions (the number of test data points).\n", - "\n", - "** Precision ** tells us what proportion of messages we classified as spam, actually were spam.\n", - "It is a ratio of true positives(words classified as spam, and which are actually spam) to all positives(all words classified as spam, irrespective of whether that was the correct classificatio), in other words it is the ratio of\n", - "\n", - "`[True Positives/(True Positives + False Positives)]`\n", - "\n", - "** Recall(sensitivity)** tells us what proportion of messages that actually were spam were classified by us as spam.\n", - "It is a ratio of true positives(words classified as spam, and which are actually spam) to all the words that were actually spam, in other words it is the ratio of\n", - "\n", - "`[True Positives/(True Positives + False Negatives)]`\n", - "\n", - "For classification problems that are skewed in their classification distributions like in our case, for example if we had a 100 text messages and only 2 were spam and the rest 98 weren't, accuracy by itself is not a very good metric. We could classify 90 messages as not spam(including the 2 that were spam but we classify them as not spam, hence they would be false negatives) and 10 as spam(all 10 false positives) and still get a reasonably good accuracy score. For such cases, precision and recall come in very handy. These two metrics can be combined to get the F1 score, which is weighted average(harmonic mean) of the precision and recall scores. This score can range from 0 to 1, with 1 being the best possible F1 score(we take the harmonic mean as we are dealing with ratios)." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 1 - Naive Predictor Performace\n", - "* If we chose a model that always predicted an individual made more than $50,000, what would that model's accuracy and F-score be on this dataset? You must use the code cell below and assign your results to `'accuracy'` and `'fscore'` to be used later.\n", - "\n", - "** Please note ** that the the purpose of generating a naive predictor is simply to show what a base model without any intelligence would look like. In the real world, ideally your base model would be either the results of a previous model or could be based on a research paper upon which you are looking to improve. When there is no benchmark model set, getting a result better than random choice is a place you could start from.\n", - "\n", - "** HINT: ** \n", - "\n", - "* When we have a model that always predicts '1' (i.e. the individual makes more than 50k) then our model will have no True Negatives(TN) or False Negatives(FN) as we are not making any negative('0' value) predictions. Therefore our Accuracy in this case becomes the same as our Precision(True Positives/(True Positives + False Positives)) as every prediction that we have made with value '1' that should have '0' becomes a False Positive; therefore our denominator in this case is the total number of records we have in total. \n", - "* Our Recall score(True Positives/(True Positives + False Negatives)) in this setting becomes 1 as we have no False Negatives." - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "11208\n", - "0.291729135432\n", - "Naive Predictor: [Accuracy score: 0.2478, F-score: 0.2917]\n" - ] - } - ], - "source": [ - "'''\n", - "TP = np.sum(income) # Counting the ones as this is the naive case. Note that 'income' is the 'income_raw' data \n", - "encoded to numerical values done in the data preprocessing step.\n", - "FP = income.count() - TP # Specific to the naive case\n", - "\n", - "TN = 0 # No predicted negatives in the naive case\n", - "FN = 0 # No predicted negatives in the naive case\n", - "'''\n", - "# TODO: Calculate accuracy, precision and recall\n", - "from sklearn.metrics import accuracy_score\n", - "true_positives = np.sum(income) #This adds up the 1s, (column with >50k have value of 1)\n", - "total_data_points = income_raw.count()\n", - "false_positives = income_raw.count() - true_positives\n", - "\n", - "true_negatives = 0\n", - "false_negatives = 0\n", - "print(true_positives)\n", - "#print(type(true_positives[0]))\n", - "#print(type(total_data_points))\n", - "\n", - "accuracy = true_positives/ total_data_points\n", - "precision = true_positives/(true_positives + false_positives)\n", - "recall = true_positives/(true_positives + false_negatives)\n", - "\n", - "\n", - "# TODO: Calculate F-score using the formula above for beta = 0.5 and correct values for precision and recall.\n", - "# HINT: The formula above can be written as (1 + beta**2) * (precision * recall) / ((beta**2 * precision) + recall)\n", - "beta = 0.5\n", - "fscore = (1 + beta**2) * (precision * recall)/((beta**2 * precision) + recall)\n", - "print(fscore)\n", - "# Print the results \n", - "print(\"Naive Predictor: [Accuracy score: {:.4f}, F-score: {:.4f}]\".format(accuracy, fscore))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Supervised Learning Models\n", - "**The following are some of the supervised learning models that are currently available in** [`scikit-learn`](http://scikit-learn.org/stable/supervised_learning.html) **that you may choose from:**\n", - "- Gaussian Naive Bayes (GaussianNB)\n", - "- Decision Trees\n", - "- Ensemble Methods (Bagging, AdaBoost, Random Forest, Gradient Boosting)\n", - "- K-Nearest Neighbors (KNeighbors)\n", - "- Stochastic Gradient Descent Classifier (SGDC)\n", - "- Support Vector Machines (SVM)\n", - "- Logistic Regression" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 2 - Model Application\n", - "List three of the supervised learning models above that are appropriate for this problem that you will test on the census data. For each model chosen\n", - "\n", - "- Describe one real-world application in industry where the model can be applied. \n", - "- What are the strengths of the model; when does it perform well?\n", - "- What are the weaknesses of the model; when does it perform poorly?\n", - "- What makes this model a good candidate for the problem, given what you know about the data?\n", - "\n", - "** HINT: **\n", - "\n", - "Structure your answer in the same format as above^, with 4 parts for each of the three models you pick. Please include references with your answer." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: **\n", - "\n", - "**Gaussian Naive Bayes**\n", - "* Can be used to mark emails as spam or not spam. Or classifying news articles\n", - "* Performs well in classification problems, especially in supervised learning\n", - "* The assumptions that Naive Bayes makes in conditional probabilities can often be inaccurate. It assumes that all features are independent of each other, while in the real world lot of these features can be dependent on each other\n", - "* The data-set is not extremely large, and Gaussian Naive Bayes performs well under these conditions. Moreover, it's easy to train the classifier given that the set of features are not very large\n", - "\n", - "**Decision Trees**\n", - "* Used in situations where the outputs are non binary. Can also be used in classification problems\n", - "* Relatively easier to understand and interpret, since it is a 'white box' model\n", - "* Prone to information gain, leading to high bias for some attributes\n", - "* With the given data-set, there might be features that do not interact linearly. Decision trees can perform well in this regard. Moreover, combined with ensemble methods like bagging and boosting, they can be quite effective\n", - "\n", - "**Random forest**\n", - "* Used for solving some of the overfitting problems in decision trees and other ML algorithms\n", - "* Can handle non-binary classification problems quite well. Quite fast to train\n", - "* With random sampling, all features might be treated equally and contribute to the final outcome\n", - "* With this given data-set, random forest can be faster to train, can also handle large number of training examples\n", - "\n", - "**Support Vector Machines**\n", - "* Used in text classification problems, face detection and in the health industry\n", - "* Performs quite well in classification problems, and better than logistical regression methods. Guarantees to reach the global minimum rather than local minimum\n", - "* Doesn't take into account the structure of the data or its order. Training time can get high with large datasets\n", - "* It's less prone to overfitting some of the features in the data-set, and it can generalize well\n", - "\n", - "\n", - "\n", - "Sources:\n", - "* http://www.cs.cornell.edu/~caruana/ctp/ct.papers/caruana.icml06.pdf\n", - "* https://en.wikipedia.org/wiki/Naive_Bayes_classifier\n", - "* https://en.wikipedia.org/wiki/Information_gain_in_decision_trees\n", - "* https://www.quora.com/What-are-the-advantages-of-different-classification-algorithms\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation - Creating a Training and Predicting Pipeline\n", - "To properly evaluate the performance of each model you've chosen, it's important that you create a training and predicting pipeline that allows you to quickly and effectively train models using various sizes of training data and perform predictions on the testing data. Your implementation here will be used in the following section.\n", - "In the code block below, you will need to implement the following:\n", - " - Import `fbeta_score` and `accuracy_score` from [`sklearn.metrics`](http://scikit-learn.org/stable/modules/classes.html#sklearn-metrics-metrics).\n", - " - Fit the learner to the sampled training data and record the training time.\n", - " - Perform predictions on the test data `X_test`, and also on the first 300 training points `X_train[:300]`.\n", - " - Record the total prediction time.\n", - " - Calculate the accuracy score for both the training subset and testing set.\n", - " - Calculate the F-score for both the training subset and testing set.\n", - " - Make sure that you set the `beta` parameter!" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# TODO: Import two metrics from sklearn - fbeta_score and accuracy_score\n", - "from sklearn.metrics import fbeta_score\n", - "from sklearn.metrics import accuracy_score\n", - "\n", - "def train_predict(learner, sample_size, X_train, y_train, X_test, y_test): \n", - " '''\n", - " inputs:\n", - " - learner: the learning algorithm to be trained and predicted on\n", - " - sample_size: the size of samples (number) to be drawn from training set\n", - " - X_train: features training set\n", - " - y_train: income training set\n", - " - X_test: features testing set\n", - " - y_test: income testing set\n", - " '''\n", - " \n", - " results = {}\n", - " \n", - " # TODO: Fit the learner to the training data using slicing with 'sample_size' using .fit(training_features[:], training_labels[:])\n", - " start = time() # Get start time\n", - " learner = learner.fit(X_train[:sample_size], y_train[:sample_size])\n", - " end = time() # Get end time\n", - " \n", - " # TODO: Calculate the training time\n", - " results['train_time'] = end - start\n", - " \n", - " # TODO: Get the predictions on the test set(X_test),\n", - " # then get predictions on the first 300 training samples(X_train) using .predict()\n", - " start = time() # Get start time\n", - " predictions_test = learner.predict(X_test)\n", - " predictions_train = learner.predict(X_train[:300])\n", - " end = time() # Get end time\n", - " \n", - " # TODO: Calculate the total prediction time\n", - " results['pred_time'] = end - start\n", - " \n", - " # TODO: Compute accuracy on the first 300 training samples which is y_train[:300]\n", - " results['acc_train'] = accuracy_score(y_train[:300], predictions_train)\n", - " \n", - " # TODO: Compute accuracy on test set using accuracy_score()\n", - " results['acc_test'] = accuracy_score(y_test, predictions_test)\n", - " \n", - " # TODO: Compute F-score on the the first 300 training samples using fbeta_score()\n", - " results['f_train'] = fbeta_score(y_train[:300], predictions_train, beta=0.5)\n", - " \n", - " # TODO: Compute F-score on the test set which is y_test\n", - " results['f_test'] = fbeta_score(y_test, predictions_test, beta=0.5)\n", - " \n", - " # Success\n", - " print(\"{} trained on {} samples.\".format(learner.__class__.__name__, sample_size))\n", - " \n", - " # Return the results\n", - " return results" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Initial Model Evaluation\n", - "In the code cell, you will need to implement the following:\n", - "- Import the three supervised learning models you've discussed in the previous section.\n", - "- Initialize the three models and store them in `'clf_A'`, `'clf_B'`, and `'clf_C'`.\n", - " - Use a `'random_state'` for each model you use, if provided.\n", - " - **Note:** Use the default settings for each model — you will tune one specific model in a later section.\n", - "- Calculate the number of records equal to 1%, 10%, and 100% of the training data.\n", - " - Store those values in `'samples_1'`, `'samples_10'`, and `'samples_100'` respectively.\n", - "\n", - "**Note:** Depending on which algorithms you chose, the following implementation may take some time to run!" - ] - }, - { - "cell_type": "code", - "execution_count": 67, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "GaussianNB trained on 361 samples.\n", - "GaussianNB trained on 3617 samples.\n", - "GaussianNB trained on 36177 samples.\n", - "DecisionTreeClassifier trained on 361 samples.\n", - "DecisionTreeClassifier trained on 3617 samples.\n", - "DecisionTreeClassifier trained on 36177 samples.\n", - "RandomForestClassifier trained on 361 samples.\n", - "RandomForestClassifier trained on 3617 samples.\n", - "RandomForestClassifier trained on 36177 samples.\n", - "VERSION:\n", - "2.0.2\n" - ] - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxIAAAIuCAYAAAArCz6pAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n0tYAAAAASUVORK5CYII=\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# TODO: Import the three supervised learning models from sklearn\n", - "from sklearn.naive_bayes import GaussianNB\n", - "from sklearn.tree import DecisionTreeClassifier\n", - "from sklearn.ensemble import RandomForestClassifier\n", - "\n", - "# TODO: Initialize the three models\n", - "clf_A = GaussianNB()\n", - "clf_B = DecisionTreeClassifier(random_state=None)\n", - "clf_C = RandomForestClassifier(max_depth=None, random_state=None)\n", - "\n", - "# TODO: Calculate the number of samples for 1%, 10%, and 100% of the training data\n", - "# HINT: samples_100 is the entire training set i.e. len(y_train)\n", - "# HINT: samples_10 is 10% of samples_100\n", - "# HINT: samples_1 is 1% of samples_100\n", - "\n", - "samples_100 = len(y_train)\n", - "samples_10 = int(len(y_train)*10/100)\n", - "samples_1 = int(len(y_train)*1/100)\n", - "\n", - "# Collect results on the learners\n", - "results = {}\n", - "for clf in [clf_A, clf_B, clf_C]:\n", - " clf_name = clf.__class__.__name__\n", - " results[clf_name] = {}\n", - " for i, samples in enumerate([samples_1, samples_10, samples_100]):\n", - " results[clf_name][i] = \\\n", - " train_predict(clf, samples, X_train, y_train, X_test, y_test)\n", - "\n", - "# Run metrics visualization for the three supervised learning models chosen\n", - "#print(results)\n", - "vs.evaluate(results, accuracy, fscore)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "----\n", - "## Improving Results\n", - "In this final section, you will choose from the three supervised learning models the *best* model to use on the student data. You will then perform a grid search optimization for the model over the entire training set (`X_train` and `y_train`) by tuning at least one parameter to improve upon the untuned model's F-score. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 3 - Choosing the Best Model\n", - "\n", - "* Based on the evaluation you performed earlier, in one to two paragraphs, explain to *CharityML* which of the three models you believe to be most appropriate for the task of identifying individuals that make more than \\$50,000. \n", - "\n", - "** HINT: ** \n", - "Look at the graph at the bottom left from the cell above(the visualization created by `vs.evaluate(results, accuracy, fscore)`) and check the F score for the testing set when 100% of the training set is used. Which model has the highest score? Your answer should include discussion of the:\n", - "* metrics - F score on the testing when 100% of the training data is used, \n", - "* prediction/training time\n", - "* the algorithm's suitability for the data." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: **\n", - "\n", - "Based on the results, I most definitely believe that a random forest model will be most appropriate for this task.\n", - "\n", - "* When 100% of the training data is used, The F score for Random forest is higher (0.674) compared to other models (Decision trees - 0.624 and Gaussian Naive Bayes - 0.42)\n", - "* Training time Gaussian Naive Bayes: \n", - " * train_time': Training time: 0.06458330154418945 Prediction Time: 0.018869876861572266\n", - " * Decision Trees: Training time: 0.43198680877685547, Prediction Time: 0.005912303924560547\n", - " * Random forest: Training time: 0.5828454494476318, Prediction Time: 0.034857749938964844\n", - " \n", - " The training and prediction time is higher than the other models\n", - "\n", - "* Based on these factors, random forest is better suited to make predictions. It performs fairly well and the training time and prediction times are on acceptable levels. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 4 - Describing the Model in Layman's Terms\n", - "\n", - "* In one to two paragraphs, explain to *CharityML*, in layman's terms, how the final model chosen is supposed to work. Be sure that you are describing the major qualities of the model, such as how the model is trained and how the model makes a prediction. Avoid using advanced mathematical jargon, such as describing equations.\n", - "\n", - "** HINT: **\n", - "\n", - "When explaining your model, if using external resources please include all citations.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: ** \n", - "\n", - "To understand how Random Forest works, we need to first understand how the *Decision Tree* algorithm works.\n", - "\n", - "A Decision tree is a classification algorithm that uses tree-like data structures to model decisions and their possible outcomes. The way the algorithm works is - \n", - "\n", - "* Place the best attribute of the dataset at the root of the tree.\n", - "* The nodes, or the place where a branch splits, is often called the 'decision node'. It usually represents a test/conditional. (Eg. If it's cloudy or sunny)\n", - "* The branches represent the outcome of each decision.\n", - "* The leaf nodes indicate the final outcome, or the label (in classification problems)\n", - " \n", - "\n", - "When used alone, decision trees are prone to overfitting. However, random forests help by correcting the possible overfitting that could occur. Random forests work by using multiple decision trees - using a multitude of different decision trees with different predictions, a random forest combines the results of those individual trees to give the final outcomes.\n", - "\n", - "Random forest applies an ensemble algorithm called *bagging* to the decision trees, which help reduce variance and overfitting - \n", - "\n", - "* Given a training set X = x1, ..., xn with the labels/outcomes Y = y1, ..., yn, bagging repeatedly (B times) selects a random sample with replacement of the training set\n", - "* Train decision trees with those samples\n", - "* Make the classifications by taking the majority vote of the classification trees\n", - "\n", - "\n", - "Out of all the tested models, random forest also seems like the best candidate to try tuning the hyper-parameters, and using other ensemble methods, like gradient boosting. This would result in improved accuracy scores.\n", - "\n", - "**References:** \n", - "* https://en.wikipedia.org/wiki/Decision_tree\n", - "* https://en.wikipedia.org/wiki/Random_forest\n", - "* http://dataaspirant.com/2017/05/22/random-forest-algorithm-machine-learing/" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Model Tuning\n", - "Fine tune the chosen model. Use grid search (`GridSearchCV`) with at least one important parameter tuned with at least 3 different values. You will need to use the entire training set for this. In the code cell below, you will need to implement the following:\n", - "- Import [`sklearn.grid_search.GridSearchCV`](http://scikit-learn.org/0.17/modules/generated/sklearn.grid_search.GridSearchCV.html) and [`sklearn.metrics.make_scorer`](http://scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html).\n", - "- Initialize the classifier you've chosen and store it in `clf`.\n", - " - Set a `random_state` if one is available to the same state you set before.\n", - "- Create a dictionary of parameters you wish to tune for the chosen model.\n", - " - Example: `parameters = {'parameter' : [list of values]}`.\n", - " - **Note:** Avoid tuning the `max_features` parameter of your learner if that parameter is available!\n", - "- Use `make_scorer` to create an `fbeta_score` scoring object (with $\\beta = 0.5$).\n", - "- Perform grid search on the classifier `clf` using the `'scorer'`, and store it in `grid_obj`.\n", - "- Fit the grid search object to the training data (`X_train`, `y_train`), and store it in `grid_fit`.\n", - "\n", - "**Note:** Depending on the algorithm chosen and the parameter list, the following implementation may take some time to run!" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Unoptimized model\n", - "------\n", - "Accuracy score on testing data: 0.8375\n", - "F-score on testing data: 0.6710\n", - "\n", - "Optimized Model\n", - "------\n", - "Final accuracy score on the testing data: 0.8417\n", - "Final F-score on the testing data: 0.6799\n" - ] - } - ], - "source": [ - "# TODO: Import 'GridSearchCV', 'make_scorer', and any other necessary libraries\n", - "from sklearn.model_selection import GridSearchCV\n", - "from sklearn.metrics import make_scorer\n", - "# TODO: Initialize the classifier\n", - "clf = RandomForestClassifier(max_depth=None, random_state=None)\n", - "\n", - "# TODO: Create the parameters list you wish to tune, using a dictionary if needed.\n", - "# HINT: parameters = {'parameter_1': [value1, value2], 'parameter_2': [value1, value2]}\n", - "parameters = {'n_estimators': [20, 40, 60], 'warm_start': [False, True], 'criterion': ['gini', 'entropy'], 'bootstrap': [True, False]}\n", - "\n", - "# TODO: Make an fbeta_score scoring object using make_scorer()\n", - "scorer = make_scorer(fbeta_score, beta=0.5)\n", - "\n", - "# TODO: Perform grid search on the classifier using 'scorer' as the scoring method using GridSearchCV()\n", - "grid_obj = GridSearchCV(clf, parameters, scoring=scorer)\n", - "\n", - "# TODO: Fit the grid search object to the training data and find the optimal parameters using fit()\n", - "grid_fit = grid_obj.fit(X_train, y_train)\n", - "\n", - "# Get the estimator\n", - "best_clf = grid_fit.best_estimator_\n", - "\n", - "# Make predictions using the unoptimized and model\n", - "predictions = (clf.fit(X_train, y_train)).predict(X_test)\n", - "best_predictions = best_clf.predict(X_test)\n", - "\n", - "# Report the before-and-afterscores\n", - "print(\"Unoptimized model\\n------\")\n", - "print(\"Accuracy score on testing data: {:.4f}\".format(accuracy_score(y_test, predictions)))\n", - "print(\"F-score on testing data: {:.4f}\".format(fbeta_score(y_test, predictions, beta = 0.5)))\n", - "print(\"\\nOptimized Model\\n------\")\n", - "print(\"Final accuracy score on the testing data: {:.4f}\".format(accuracy_score(y_test, best_predictions)))\n", - "print(\"Final F-score on the testing data: {:.4f}\".format(fbeta_score(y_test, best_predictions, beta = 0.5)))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 5 - Final Model Evaluation\n", - "\n", - "* What is your optimized model's accuracy and F-score on the testing data? \n", - "* Are these scores better or worse than the unoptimized model? \n", - "* How do the results from your optimized model compare to the naive predictor benchmarks you found earlier in **Question 1**?_ \n", - "\n", - "**Note:** Fill in the table below with your results, and then provide discussion in the **Answer** box." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Results:\n", - "\n", - "| Metric | Unoptimized Model | Optimized Model |\n", - "| :------------: | :---------------: | :-------------: | \n", - "| Accuracy Score | 0.8375 | 0.8417 |\n", - "| F-score | 0.6710 | 0.6799 |\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: **\n", - "Both the scores seem to be improving slightly, but not conclusive enough. One possible reason could be that all the features in the data-set are given equal importance. Some other not-so-relevant features might also be interfering with the training" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "----\n", - "## Feature Importance\n", - "\n", - "An important task when performing supervised learning on a dataset like the census data we study here is determining which features provide the most predictive power. By focusing on the relationship between only a few crucial features and the target label we simplify our understanding of the phenomenon, which is most always a useful thing to do. In the case of this project, that means we wish to identify a small number of features that most strongly predict whether an individual makes at most or more than \\$50,000.\n", - "\n", - "Choose a scikit-learn classifier (e.g., adaboost, random forests) that has a `feature_importance_` attribute, which is a function that ranks the importance of features according to the chosen classifier. In the next python cell fit this classifier to training set and use this attribute to determine the top 5 most important features for the census dataset." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 6 - Feature Relevance Observation\n", - "When **Exploring the Data**, it was shown there are thirteen available features for each individual on record in the census data. Of these thirteen records, which five features do you believe to be most important for prediction, and in what order would you rank them and why?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer:**\n", - "\n", - "* **Capital Gain:** This can also be a big factor, since it's directly related to how much income a person generates.\n", - "* **Occupation:** I believe that this plays an important role, because the income of a person is usually related to the kind of work the individual does. People working in higher end managerial roles usually have higher paycheques\n", - "* **Working Class:** People working in private sectors, federal government, and self emplyed folks make better living than other people.\n", - "* **Education:** People who have advanced degrees have better incomes than those without\n", - "* **Native Country:** People in developed countries have higher incomes and higher standards of living, so they're more likely to contribute, as compared to developing countries.\n", - "\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation - Extracting Feature Importance\n", - "Choose a `scikit-learn` supervised learning algorithm that has a `feature_importance_` attribute availble for it. This attribute is a function that ranks the importance of each feature when making predictions based on the chosen algorithm.\n", - "\n", - "In the code cell below, you will need to implement the following:\n", - " - Import a supervised learning model from sklearn if it is different from the three used earlier.\n", - " - Train the supervised model on the entire training set.\n", - " - Extract the feature importances using `'.feature_importances_'`." - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAoAAAAFgCAYAAAArYcg8AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# TODO: Import a supervised learning model that has 'feature_importances_'\n", - "from sklearn.tree import DecisionTreeRegressor\n", - "from sklearn.ensemble import AdaBoostRegressor\n", - "\n", - "# TODO: Train the supervised model on the training set using .fit(X_train, y_train)\n", - "model = AdaBoostRegressor(DecisionTreeRegressor(max_depth=None, random_state=None))\n", - "model = model.fit(X_train, y_train)\n", - "# TODO: Extract the feature importances using .feature_importances_ \n", - "importances = model.feature_importances_\n", - "# Plot\n", - "vs.feature_plot(importances, X_train, y_train)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 7 - Extracting Feature Importance\n", - "\n", - "Observe the visualization created above which displays the five most relevant features for predicting if an individual makes at most or above \\$50,000. \n", - "* How do these five features compare to the five features you discussed in **Question 6**?\n", - "* If you were close to the same answer, how does this visualization confirm your thoughts? \n", - "* If you were not close, why do you think these features are more relevant?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer:**\n", - "Looks like I was way off with my guesses. Looks like some other factors are more relevant than what I previously assumed.\n", - "\n", - "* ** Age:** Middle aged people are more like to donate, because they would have made substantial savings\n", - "* **Hours per week:** Business-men often work for longer hours, this could be an indicator.\n", - "* **Marital Status:** Married people have a good support system, and if both the partners earn then the probability of donating to a charity is higher\n", - "* **Education Number:** Number of years of education makes sense.\n", - "* **Capital Gain:** I had guesed this feature to be a major factor before" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Feature Selection\n", - "How does a model perform if we only use a subset of all the available features in the data? With less features required to train, the expectation is that training and prediction time is much lower — at the cost of performance metrics. From the visualization above, we see that the top five most important features contribute more than half of the importance of **all** features present in the data. This hints that we can attempt to *reduce the feature space* and simplify the information required for the model to learn. The code cell below will use the same optimized model you found earlier, and train it on the same training set *with only the top five important features*. " - ] - }, - { - "cell_type": "code", - "execution_count": 66, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Final Model trained on full data\n", - "------\n", - "Accuracy on testing data: 0.8417\n", - "F-score on testing data: 0.6799\n", - "\n", - "Final Model trained on reduced data\n", - "------\n", - "Accuracy on testing data: 0.8345\n", - "F-score on testing data: 0.6651\n" - ] - } - ], - "source": [ - "# Import functionality for cloning a model\n", - "from sklearn.base import clone\n", - "\n", - "# Reduce the feature space\n", - "X_train_reduced = X_train[X_train.columns.values[(np.argsort(importances)[::-1])[:5]]]\n", - "X_test_reduced = X_test[X_test.columns.values[(np.argsort(importances)[::-1])[:5]]]\n", - "\n", - "# Train on the \"best\" model found from grid search earlier\n", - "clf = (clone(best_clf)).fit(X_train_reduced, y_train)\n", - "\n", - "# Make new predictions\n", - "reduced_predictions = clf.predict(X_test_reduced)\n", - "\n", - "# Report scores from the final model using both versions of data\n", - "print(\"Final Model trained on full data\\n------\")\n", - "print(\"Accuracy on testing data: {:.4f}\".format(accuracy_score(y_test, best_predictions)))\n", - "print(\"F-score on testing data: {:.4f}\".format(fbeta_score(y_test, best_predictions, beta = 0.5)))\n", - "print(\"\\nFinal Model trained on reduced data\\n------\")\n", - "print(\"Accuracy on testing data: {:.4f}\".format(accuracy_score(y_test, reduced_predictions)))\n", - "print(\"F-score on testing data: {:.4f}\".format(fbeta_score(y_test, reduced_predictions, beta = 0.5)))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 8 - Effects of Feature Selection\n", - "\n", - "* How does the final model's F-score and accuracy score on the reduced data using only five features compare to those same scores when all features are used?\n", - "* If training time was a factor, would you consider using the reduced data as your training set?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer:**\n", - "Actually the final model's F-score and accuracy seems to be decreasing slightly. Maybe some more features need to be included in.\n", - "\n", - "The training time isn't much, so I'd use the complete data as my training set. But in a scenario where there are lots of samples, I'd consider using the reduced data-set. Although, there might be certain trade-offs between training time and performance." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "> **Note**: Once you have completed all of the code implementations and successfully answered each question above, you may finalize your work by exporting the iPython Notebook as an HTML document. You can do this by using the menu above and navigating to \n", - "**File -> Download as -> HTML (.html)**. Include the finished document along with this notebook as your submission." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.1" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/finding_donors/project_description.md b/finding_donors/project_description.md deleted file mode 100644 index fbacd7c..0000000 --- a/finding_donors/project_description.md +++ /dev/null @@ -1,61 +0,0 @@ -# Content: Supervised Learning -## Project: Finding Donors for CharityML - -## Project Overview -In this project, you will apply supervised learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause. You will first explore the data to learn how the census data is recorded. Next, you will apply a series of transformations and preprocessing techniques to manipulate the data into a workable format. You will then evaluate several supervised learners of your choice on the data, and consider which is best suited for the solution. Afterwards, you will optimize the model you've selected and present it as your solution to CharityML. Finally, you will explore the chosen model and its predictions under the hood, to see just how well it's performing when considering the data it's given. -predicted selling price to your statistics. - -## Project Highlights -This project is designed to get you acquainted with the many supervised learning algorithms available in sklearn, and to also provide for a method of evaluating just how each model works and performs on a certain type of data. It is important in machine learning to understand exactly when and where a certain algorithm should be used, and when one should be avoided. - -Things you will learn by completing this project: -- How to identify when preprocessing is needed, and how to apply it. -- How to establish a benchmark for a solution to the problem. -- What each of several supervised learning algorithms accomplishes given a specific dataset. -- How to investigate whether a candidate solution model is adequate for the problem. - -## Software Requirements - -This project uses the following software and Python libraries: - -- [Python 2.7](https://www.python.org/download/releases/2.7/) -- [NumPy](http://www.numpy.org/) -- [Pandas](http://pandas.pydata.org/) -- [scikit-learn](http://scikit-learn.org/stable/) -- [matplotlib](http://matplotlib.org/) - -You will also need to have software installed to run and execute a [Jupyter Notebook](http://ipython.org/notebook.html) - -If you do not have Python installed yet, it is highly recommended that you install the [Anaconda](http://continuum.io/downloads) distribution of Python, which already has the above packages and more included. Make sure that you select the Python 2.7 installer and not the Python 3.x installer. - -## Starting the Project - -For this assignment, you can find the `finding_donors` folder containing the necessary project files on the [Machine Learning projects GitHub](https://github.com/udacity/machine-learning), under the `projects` folder. You may download all of the files for projects we'll use in this Nanodegree program directly from this repo. Please make sure that you use the most recent version of project files when completing a project! - -This project contains three files: - -- `finding_donors.ipynb`: This is the main file where you will be performing your work on the project. -- `census.csv`: The project dataset. You'll load this data in the notebook. -- `visuals.py`: A Python file containing visualization code that is run behind-the-scenes. Do not modify - -In the Terminal or Command Prompt, navigate to the folder containing the project files, and then use the command `jupyter notebook finding_donors.ipynb` to open up a browser window or tab to work with your notebook. Alternatively, you can use the command `jupyter notebook` or `ipython notebook` and navigate to the notebook file in the browser window that opens. Follow the instructions in the notebook and answer each question presented to successfully complete the project. A **README** file has also been provided with the project files which may contain additional necessary information or instruction for the project. - -## Submitting the Project - -### Evaluation -Your project will be reviewed by a Udacity reviewer against the **Finding Donors for CharityML project rubric**. Be sure to review this rubric thoroughly and self-evaluate your project before submission. All criteria found in the rubric must be *meeting specifications* for you to pass. - -### Submission Files -When you are ready to submit your project, collect the following files and compress them into a single archive for upload. Alternatively, you may supply the following files on your GitHub Repo in a folder named `student_intervention` for ease of access: - - The `finding_donors.ipynb` notebook file with all questions answered and all code cells executed and displaying output. - - An **HTML** export of the project notebook with the name **report.html**. This file *must* be present for your project to be evaluated. - -Once you have collected these files and reviewed the project rubric, proceed to the project submission page. - -### I'm Ready! -When you're ready to submit your project, click on the **Submit Project** button at the bottom of the page. - -If you are having any problems submitting your project or wish to check on the status of your submission, please email us at **machine-support@udacity.com** or visit us in the discussion forums. - -### What's Next? -You will get an email as soon as your reviewer has feedback for you. In the meantime, review your next project and feel free to get started on it or the courses supporting it! diff --git a/finding_donors/report.html b/finding_donors/report.html deleted file mode 100644 index 7ffb422..0000000 --- a/finding_donors/report.html +++ /dev/null @@ -1,14951 +0,0 @@ - - - -finding_donors - - - - - - - - - - - - - - - - - - - -
-
- -
-
-
-
-
-

Machine Learning Engineer Nanodegree

Supervised Learning

Project: Finding Donors for CharityML

-
-
-
-
-
-
-
-
-

Welcome to the second project of the Machine Learning Engineer Nanodegree! In this notebook, some template code has already been provided for you, and it will be your job to implement the additional functionality necessary to successfully complete this project. Sections that begin with 'Implementation' in the header indicate that the following block of code will require additional functionality which you must provide. Instructions will be provided for each section and the specifics of the implementation are marked in the code block with a 'TODO' statement. Please be sure to read the instructions carefully!

-

In addition to implementing code, there will be questions that you must answer which relate to the project and your implementation. Each section where you will answer a question is preceded by a 'Question X' header. Carefully read each question and provide thorough answers in the following text boxes that begin with 'Answer:'. Your project submission will be evaluated based on your answers to each of the questions and the implementation you provide.

-

Note: Please specify WHICH VERSION OF PYTHON you are using when submitting this notebook. Code and Markdown cells can be executed using the Shift + Enter keyboard shortcut. In addition, Markdown cells can be edited by typically double-clicking the cell to enter edit mode.

-
- -
-
-
-
-
-
-
-
-

Getting Started

In this project, you will employ several supervised algorithms of your choice to accurately model individuals' income using data collected from the 1994 U.S. Census. You will then choose the best candidate algorithm from preliminary results and further optimize this algorithm to best model the data. Your goal with this implementation is to construct a model that accurately predicts whether an individual makes more than $50,000. This sort of task can arise in a non-profit setting, where organizations survive on donations. Understanding an individual's income can help a non-profit better understand how large of a donation to request, or whether or not they should reach out to begin with. While it can be difficult to determine an individual's general income bracket directly from public sources, we can (as we will see) infer this value from other publically available features.

-

The dataset for this project originates from the UCI Machine Learning Repository. The datset was donated by Ron Kohavi and Barry Becker, after being published in the article "Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid". You can find the article by Ron Kohavi online. The data we investigate here consists of small changes to the original dataset, such as removing the 'fnlwgt' feature and records with missing or ill-formatted entries.

- -
-
-
-
-
-
-
-
-
-

Exploring the Data

Run the code cell below to load necessary Python libraries and load the census data. Note that the last column from this dataset, 'income', will be our target label (whether an individual makes more than, or at most, $50,000 annually). All other columns are features about each individual in the census database.

- -
-
-
-
-
-
In [37]:
-
-
-
# Import libraries necessary for this project
-import numpy as np
-import pandas as pd
-from time import time
-from IPython.display import display # Allows the use of display() for DataFrames
-
-# Import supplementary visualization code visuals.py
-import visuals as vs
-
-# Pretty display for notebooks
-%matplotlib inline
-
-# Load the Census dataset
-data = pd.read_csv("census.csv")
-
-# Success - Display the first record
-display(data.head(n=1))
-
- -
-
-
- -
-
- - -
-
- - -
-
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
ageworkclasseducation_leveleducation-nummarital-statusoccupationrelationshipracesexcapital-gaincapital-losshours-per-weeknative-countryincome
039State-govBachelors13.0Never-marriedAdm-clericalNot-in-familyWhiteMale2174.00.040.0United-States<=50K
-
-
- -
- -
-
- -
-
-
-
-
-
-

Implementation: Data Exploration

A cursory investigation of the dataset will determine how many individuals fit into either group, and will tell us about the percentage of these individuals making more than \$50,000. In the code cell below, you will need to compute the following:

-
    -
  • The total number of records, 'n_records'
  • -
  • The number of individuals making more than \$50,000 annually, 'n_greater_50k'.
  • -
  • The number of individuals making at most \$50,000 annually, 'n_at_most_50k'.
  • -
  • The percentage of individuals making more than \$50,000 annually, 'greater_percent'.
  • -
-

HINT: You may need to look at the table above to understand how the 'income' entries are formatted.

- -
-
-
-
-
-
In [2]:
-
-
-
# TODO: Total number of records
-#print(data)
-n_records = data.shape[0]
-
-# TODO: Number of records where individual's income is more than $50,000
-more_than_50k = data.loc[(data['income'] == '>50K')]
-n_greater_50k = more_than_50k.shape[0]
-
-# TODO: Number of records where individual's income is at most $50,000
-atmost_50k = data.loc[(data['income'] == '<=50K')]
-n_at_most_50k = atmost_50k.shape[0]
-
-# TODO: Percentage of individuals whose income is more than $50,000
-greater_percent = n_greater_50k*100/n_records
-
-# Print the results
-print("Total number of records: {}".format(n_records))
-print("Individuals making more than $50,000: {}".format(n_greater_50k))
-print("Individuals making at most $50,000: {}".format(n_at_most_50k))
-print("Percentage of individuals making more than $50,000: {:.2f}%".format(greater_percent))
-
- -
-
-
- -
-
- - -
-
- -
-
Total number of records: 45222
-Individuals making more than $50,000: 11208
-Individuals making at most $50,000: 34014
-Percentage of individuals making more than $50,000: 24.78%
-
-
-
- -
-
- -
-
-
-
-
-
-

Featureset Exploration

-
    -
  • age: continuous.
  • -
  • workclass: Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked.
  • -
  • education: Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool.
  • -
  • education-num: continuous.
  • -
  • marital-status: Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse.
  • -
  • occupation: Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces.
  • -
  • relationship: Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried.
  • -
  • race: Black, White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other.
  • -
  • sex: Female, Male.
  • -
  • capital-gain: continuous.
  • -
  • capital-loss: continuous.
  • -
  • hours-per-week: continuous.
  • -
  • native-country: United-States, Cambodia, England, Puerto-Rico, Canada, Germany, Outlying-US(Guam-USVI-etc), India, Japan, Greece, South, China, Cuba, Iran, Honduras, Philippines, Italy, Poland, Jamaica, Vietnam, Mexico, Portugal, Ireland, France, Dominican-Republic, Laos, Ecuador, Taiwan, Haiti, Columbia, Hungary, Guatemala, Nicaragua, Scotland, Thailand, Yugoslavia, El-Salvador, Trinadad&Tobago, Peru, Hong, Holand-Netherlands.
  • -
- -
-
-
-
-
-
-
-
-
-

Preparing the Data

Before data can be used as input for machine learning algorithms, it often must be cleaned, formatted, and restructured — this is typically known as preprocessing. Fortunately, for this dataset, there are no invalid or missing entries we must deal with, however, there are some qualities about certain features that must be adjusted. This preprocessing can help tremendously with the outcome and predictive power of nearly all learning algorithms.

- -
-
-
-
-
-
-
-
-

Transforming Skewed Continuous Features

A dataset may sometimes contain at least one feature whose values tend to lie near a single number, but will also have a non-trivial number of vastly larger or smaller values than that single number. Algorithms can be sensitive to such distributions of values and can underperform if the range is not properly normalized. With the census dataset two features fit this description: 'capital-gain' and 'capital-loss'.

-

Run the code cell below to plot a histogram of these two features. Note the range of the values present and how they are distributed.

- -
-
-
-
-
-
In [3]:
-
-
-
# Split the data into features and target label
-income_raw = data['income']
-features_raw = data.drop('income', axis = 1)
-
-# Visualize skewed continuous features of original data
-vs.distribution(data)
-
- -
-
-
- -
-
- - -
-
- - - -
- -
- -
- -
-
- -
-
-
-
-
-
-

For highly-skewed feature distributions such as 'capital-gain' and 'capital-loss', it is common practice to apply a logarithmic transformation on the data so that the very large and very small values do not negatively affect the performance of a learning algorithm. Using a logarithmic transformation significantly reduces the range of values caused by outliers. Care must be taken when applying this transformation however: The logarithm of 0 is undefined, so we must translate the values by a small amount above 0 to apply the the logarithm successfully.

-

Run the code cell below to perform a transformation on the data and visualize the results. Again, note the range of values and how they are distributed.

- -
-
-
-
-
-
In [4]:
-
-
-
# Log-transform the skewed features
-skewed = ['capital-gain', 'capital-loss']
-features_log_transformed = pd.DataFrame(data = features_raw)
-features_log_transformed[skewed] = features_raw[skewed].apply(lambda x: np.log(x + 1))
-
-# Visualize the new log distributions
-vs.distribution(features_log_transformed, transformed = True)
-
- -
-
-
- -
-
- - -
-
- - - -
- -
- -
- -
-
- -
-
-
-
-
-
-

Normalizing Numerical Features

In addition to performing transformations on features that are highly skewed, it is often good practice to perform some type of scaling on numerical features. Applying a scaling to the data does not change the shape of each feature's distribution (such as 'capital-gain' or 'capital-loss' above); however, normalization ensures that each feature is treated equally when applying supervised learners. Note that once scaling is applied, observing the data in its raw form will no longer have the same original meaning, as exampled below.

-

Run the code cell below to normalize each numerical feature. We will use sklearn.preprocessing.MinMaxScaler for this.

- -
-
-
-
-
-
In [5]:
-
-
-
# Import sklearn.preprocessing.StandardScaler
-from sklearn.preprocessing import MinMaxScaler
-
-# Initialize a scaler, then apply it to the features
-scaler = MinMaxScaler() # default=(0, 1)
-numerical = ['age', 'education-num', 'capital-gain', 'capital-loss', 'hours-per-week']
-
-features_log_minmax_transform = pd.DataFrame(data = features_log_transformed)
-features_log_minmax_transform[numerical] = scaler.fit_transform(features_log_transformed[numerical])
-
-# Show an example of a record with scaling applied
-display(features_log_minmax_transform.head(n = 5))
-
- -
-
-
- -
-
- - -
-
- - -
-
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
ageworkclasseducation_leveleducation-nummarital-statusoccupationrelationshipracesexcapital-gaincapital-losshours-per-weeknative-country
00.301370State-govBachelors0.800000Never-marriedAdm-clericalNot-in-familyWhiteMale0.6674920.00.397959United-States
10.452055Self-emp-not-incBachelors0.800000Married-civ-spouseExec-managerialHusbandWhiteMale0.0000000.00.122449United-States
20.287671PrivateHS-grad0.533333DivorcedHandlers-cleanersNot-in-familyWhiteMale0.0000000.00.397959United-States
30.493151Private11th0.400000Married-civ-spouseHandlers-cleanersHusbandBlackMale0.0000000.00.397959United-States
40.150685PrivateBachelors0.800000Married-civ-spouseProf-specialtyWifeBlackFemale0.0000000.00.397959Cuba
-
-
- -
- -
-
- -
-
-
-
-
-
-

Implementation: Data Preprocessing

From the table in Exploring the Data above, we can see there are several features for each record that are non-numeric. Typically, learning algorithms expect input to be numeric, which requires that non-numeric features (called categorical variables) be converted. One popular way to convert categorical variables is by using the one-hot encoding scheme. One-hot encoding creates a "dummy" variable for each possible category of each non-numeric feature. For example, assume someFeature has three possible entries: A, B, or C. We then encode this feature into someFeature_A, someFeature_B and someFeature_C.

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
someFeaturesomeFeature_AsomeFeature_BsomeFeature_C
0B010
1C----> one-hot encode ---->001
2A100
-

Additionally, as with the non-numeric features, we need to convert the non-numeric target label, 'income' to numerical values for the learning algorithm to work. Since there are only two possible categories for this label ("<=50K" and ">50K"), we can avoid using one-hot encoding and simply encode these two categories as 0 and 1, respectively. In code cell below, you will need to implement the following:

-
    -
  • Use pandas.get_dummies() to perform one-hot encoding on the 'features_raw' data.
  • -
  • Convert the target label 'income_raw' to numerical entries.
      -
    • Set records with "<=50K" to 0 and records with ">50K" to 1.
    • -
    -
  • -
- -
-
-
-
-
-
In [42]:
-
-
-
# TODO: One-hot encode the 'features_log_minmax_transform' data using pandas.get_dummies()
-features_final = pd.get_dummies(features_log_minmax_transform)
-
-# TODO: Encode the 'income_raw' data to numerical values
-income = pd.get_dummies(income_raw)['>50K']
-print(income.count())
-# Print the number of features after one-hot encoding
-encoded = list(features_final.columns)
-print("{} total features after one-hot encoding.".format(len(encoded)))
-
-# Uncomment the following line to see the encoded feature names
-#print(encoded)
-
- -
-
-
- -
-
- - -
-
- -
-
45222
-103 total features after one-hot encoding.
-
-
-
- -
-
- -
-
-
-
-
-
-

Shuffle and Split Data

Now all categorical variables have been converted into numerical features, and all numerical features have been normalized. As always, we will now split the data (both features and their labels) into training and test sets. 80% of the data will be used for training and 20% for testing.

-

Run the code cell below to perform this split.

- -
-
-
-
-
-
In [43]:
-
-
-
# Import train_test_split
-from sklearn.model_selection import train_test_split
-
-# Split the 'features' and 'income' data into training and testing sets
-X_train, X_test, y_train, y_test = train_test_split(features_final, 
-                                                    income, 
-                                                    test_size = 0.2, 
-                                                    random_state = 0)
-
-# Show the results of the split
-print("Training set has {} samples.".format(X_train.shape[0]))
-print("Testing set has {} samples.".format(X_test.shape[0]))
-
- -
-
-
- -
-
- - -
-
- -
-
Training set has 36177 samples.
-Testing set has 9045 samples.
-
-
-
- -
-
- -
-
-
-
-
-
-
-

Evaluating Model Performance

In this section, we will investigate four different algorithms, and determine which is best at modeling the data. Three of these algorithms will be supervised learners of your choice, and the fourth algorithm is known as a naive predictor.

- -
-
-
-
-
-
-
-
-

Metrics and the Naive Predictor

CharityML, equipped with their research, knows individuals that make more than \$50,000 are most likely to donate to their charity. Because of this, *CharityML* is particularly interested in predicting who makes more than \$50,000 accurately. It would seem that using accuracy as a metric for evaluating a particular model's performace would be appropriate. Additionally, identifying someone that does not make more than \$50,000 as someone who does would be detrimental to *CharityML*, since they are looking to find individuals willing to donate. Therefore, a model's ability to precisely predict those that make more than \$50,000 is more important than the model's ability to recall those individuals. We can use F-beta score as a metric that considers both precision and recall:

-$$ F_{\beta} = (1 + \beta^2) \cdot \frac{precision \cdot recall}{\left( \beta^2 \cdot precision \right) + recall} $$

In particular, when $\beta = 0.5$, more emphasis is placed on precision. This is called the F$_{0.5}$ score (or F-score for simplicity).

-

Looking at the distribution of classes (those who make at most \$50,000, and those who make more), it's clear most individuals do not make more than \$50,000. This can greatly affect accuracy, since we could simply say "this person does not make more than \$50,000" and generally be right, without ever looking at the data! Making such a statement would be called naive, since we have not considered any information to substantiate the claim. It is always important to consider the naive prediction for your data, to help establish a benchmark for whether a model is performing well. That been said, using that prediction would be pointless: If we predicted all people made less than \$50,000, CharityML would identify no one as donors.

-

Note: Recap of accuracy, precision, recall

Accuracy measures how often the classifier makes the correct prediction. It’s the ratio of the number of correct predictions to the total number of predictions (the number of test data points).

-

Precision tells us what proportion of messages we classified as spam, actually were spam. -It is a ratio of true positives(words classified as spam, and which are actually spam) to all positives(all words classified as spam, irrespective of whether that was the correct classificatio), in other words it is the ratio of

-

[True Positives/(True Positives + False Positives)]

-

Recall(sensitivity) tells us what proportion of messages that actually were spam were classified by us as spam. -It is a ratio of true positives(words classified as spam, and which are actually spam) to all the words that were actually spam, in other words it is the ratio of

-

[True Positives/(True Positives + False Negatives)]

-

For classification problems that are skewed in their classification distributions like in our case, for example if we had a 100 text messages and only 2 were spam and the rest 98 weren't, accuracy by itself is not a very good metric. We could classify 90 messages as not spam(including the 2 that were spam but we classify them as not spam, hence they would be false negatives) and 10 as spam(all 10 false positives) and still get a reasonably good accuracy score. For such cases, precision and recall come in very handy. These two metrics can be combined to get the F1 score, which is weighted average(harmonic mean) of the precision and recall scores. This score can range from 0 to 1, with 1 being the best possible F1 score(we take the harmonic mean as we are dealing with ratios).

- -
-
-
-
-
-
-
-
-

Question 1 - Naive Predictor Performace

    -
  • If we chose a model that always predicted an individual made more than $50,000, what would that model's accuracy and F-score be on this dataset? You must use the code cell below and assign your results to 'accuracy' and 'fscore' to be used later.
  • -
-

Please note that the the purpose of generating a naive predictor is simply to show what a base model without any intelligence would look like. In the real world, ideally your base model would be either the results of a previous model or could be based on a research paper upon which you are looking to improve. When there is no benchmark model set, getting a result better than random choice is a place you could start from.

-

HINT:

-
    -
  • When we have a model that always predicts '1' (i.e. the individual makes more than 50k) then our model will have no True Negatives(TN) or False Negatives(FN) as we are not making any negative('0' value) predictions. Therefore our Accuracy in this case becomes the same as our Precision(True Positives/(True Positives + False Positives)) as every prediction that we have made with value '1' that should have '0' becomes a False Positive; therefore our denominator in this case is the total number of records we have in total.
  • -
  • Our Recall score(True Positives/(True Positives + False Negatives)) in this setting becomes 1 as we have no False Negatives.
  • -
- -
-
-
-
-
-
In [46]:
-
-
-
'''
-TP = np.sum(income) # Counting the ones as this is the naive case. Note that 'income' is the 'income_raw' data 
-encoded to numerical values done in the data preprocessing step.
-FP = income.count() - TP # Specific to the naive case
-
-TN = 0 # No predicted negatives in the naive case
-FN = 0 # No predicted negatives in the naive case
-'''
-# TODO: Calculate accuracy, precision and recall
-from sklearn.metrics import accuracy_score
-true_positives = np.sum(income) #This adds up the 1s, (column with >50k have value of 1)
-total_data_points = income_raw.count()
-false_positives = income_raw.count() - true_positives
-
-true_negatives = 0
-false_negatives = 0
-print(true_positives)
-#print(type(true_positives[0]))
-#print(type(total_data_points))
-
-accuracy = true_positives/ total_data_points
-precision = true_positives/(true_positives + false_positives)
-recall = true_positives/(true_positives + false_negatives)
-
-
-# TODO: Calculate F-score using the formula above for beta = 0.5 and correct values for precision and recall.
-# HINT: The formula above can be written as (1 + beta**2) * (precision * recall) / ((beta**2 * precision) + recall)
-beta = 0.5
-fscore = (1 + beta**2) * (precision * recall)/((beta**2 * precision) + recall)
-print(fscore)
-# Print the results 
-print("Naive Predictor: [Accuracy score: {:.4f}, F-score: {:.4f}]".format(accuracy, fscore))
-
- -
-
-
- -
-
- - -
-
- -
-
11208
-0.291729135432
-Naive Predictor: [Accuracy score: 0.2478, F-score: 0.2917]
-
-
-
- -
-
- -
-
-
-
-
-
-

Supervised Learning Models

The following are some of the supervised learning models that are currently available in scikit-learn that you may choose from:

-
    -
  • Gaussian Naive Bayes (GaussianNB)
  • -
  • Decision Trees
  • -
  • Ensemble Methods (Bagging, AdaBoost, Random Forest, Gradient Boosting)
  • -
  • K-Nearest Neighbors (KNeighbors)
  • -
  • Stochastic Gradient Descent Classifier (SGDC)
  • -
  • Support Vector Machines (SVM)
  • -
  • Logistic Regression
  • -
- -
-
-
-
-
-
-
-
-

Question 2 - Model Application

List three of the supervised learning models above that are appropriate for this problem that you will test on the census data. For each model chosen

-
    -
  • Describe one real-world application in industry where the model can be applied.
  • -
  • What are the strengths of the model; when does it perform well?
  • -
  • What are the weaknesses of the model; when does it perform poorly?
  • -
  • What makes this model a good candidate for the problem, given what you know about the data?
  • -
-

HINT:

-

Structure your answer in the same format as above^, with 4 parts for each of the three models you pick. Please include references with your answer.

- -
-
-
-
-
-
-
-
-

Answer:

-

Gaussian Naive Bayes

-
    -
  • Can be used to mark emails as spam or not spam. Or classifying news articles
  • -
  • Performs well in classification problems, especially in supervised learning
  • -
  • The assumptions that Naive Bayes makes in conditional probabilities can often be inaccurate. It assumes that all features are independent of each other, while in the real world lot of these features can be dependent on each other
  • -
  • The data-set is not extremely large, and Gaussian Naive Bayes performs well under these conditions. Moreover, it's easy to train the classifier given that the set of features are not very large
  • -
-

Decision Trees

-
    -
  • Used in situations where the outputs are non binary. Can also be used in classification problems
  • -
  • Relatively easier to understand and interpret, since it is a 'white box' model
  • -
  • Prone to information gain, leading to high bias for some attributes
  • -
  • With the given data-set, there might be features that do not interact linearly. Decision trees can perform well in this regard. Moreover, combined with ensemble methods like bagging and boosting, they can be quite effective
  • -
-

Random forest

-
    -
  • Used for solving some of the overfitting problems in decision trees and other ML algorithms
  • -
  • Can handle non-binary classification problems quite well. Quite fast to train
  • -
  • With random sampling, all features might be treated equally and contribute to the final outcome
  • -
  • With this given data-set, random forest can be faster to train, can also handle large number of training examples
  • -
-

Support Vector Machines

-
    -
  • Used in text classification problems, face detection and in the health industry
  • -
  • Performs quite well in classification problems, and better than logistical regression methods. Guarantees to reach the global minimum rather than local minimum
  • -
  • Doesn't take into account the structure of the data or its order. Training time can get high with large datasets
  • -
  • It's less prone to overfitting some of the features in the data-set, and it can generalize well
  • -
-

Sources:

- - -
-
-
-
-
-
-
-
-

Implementation - Creating a Training and Predicting Pipeline

To properly evaluate the performance of each model you've chosen, it's important that you create a training and predicting pipeline that allows you to quickly and effectively train models using various sizes of training data and perform predictions on the testing data. Your implementation here will be used in the following section. -In the code block below, you will need to implement the following:

-
    -
  • Import fbeta_score and accuracy_score from sklearn.metrics.
  • -
  • Fit the learner to the sampled training data and record the training time.
  • -
  • Perform predictions on the test data X_test, and also on the first 300 training points X_train[:300].
      -
    • Record the total prediction time.
    • -
    -
  • -
  • Calculate the accuracy score for both the training subset and testing set.
  • -
  • Calculate the F-score for both the training subset and testing set.
      -
    • Make sure that you set the beta parameter!
    • -
    -
  • -
- -
-
-
-
-
-
In [47]:
-
-
-
# TODO: Import two metrics from sklearn - fbeta_score and accuracy_score
-from sklearn.metrics import fbeta_score
-from sklearn.metrics import accuracy_score
-
-def train_predict(learner, sample_size, X_train, y_train, X_test, y_test): 
-    '''
-    inputs:
-       - learner: the learning algorithm to be trained and predicted on
-       - sample_size: the size of samples (number) to be drawn from training set
-       - X_train: features training set
-       - y_train: income training set
-       - X_test: features testing set
-       - y_test: income testing set
-    '''
-    
-    results = {}
-    
-    # TODO: Fit the learner to the training data using slicing with 'sample_size' using .fit(training_features[:], training_labels[:])
-    start = time() # Get start time
-    learner = learner.fit(X_train[:sample_size], y_train[:sample_size])
-    end = time() # Get end time
-    
-    # TODO: Calculate the training time
-    results['train_time'] = end - start
-        
-    # TODO: Get the predictions on the test set(X_test),
-    #       then get predictions on the first 300 training samples(X_train) using .predict()
-    start = time() # Get start time
-    predictions_test = learner.predict(X_test)
-    predictions_train = learner.predict(X_train[:300])
-    end = time() # Get end time
-    
-    # TODO: Calculate the total prediction time
-    results['pred_time'] = end - start
-            
-    # TODO: Compute accuracy on the first 300 training samples which is y_train[:300]
-    results['acc_train'] = accuracy_score(y_train[:300], predictions_train)
-        
-    # TODO: Compute accuracy on test set using accuracy_score()
-    results['acc_test'] = accuracy_score(y_test, predictions_test)
-    
-    # TODO: Compute F-score on the the first 300 training samples using fbeta_score()
-    results['f_train'] = fbeta_score(y_train[:300], predictions_train, beta=0.5)
-        
-    # TODO: Compute F-score on the test set which is y_test
-    results['f_test'] = fbeta_score(y_test, predictions_test, beta=0.5)
-       
-    # Success
-    print("{} trained on {} samples.".format(learner.__class__.__name__, sample_size))
-        
-    # Return the results
-    return results
-
- -
-
-
- -
-
-
-
-
-
-

Implementation: Initial Model Evaluation

In the code cell, you will need to implement the following:

-
    -
  • Import the three supervised learning models you've discussed in the previous section.
  • -
  • Initialize the three models and store them in 'clf_A', 'clf_B', and 'clf_C'.
      -
    • Use a 'random_state' for each model you use, if provided.
    • -
    • Note: Use the default settings for each model — you will tune one specific model in a later section.
    • -
    -
  • -
  • Calculate the number of records equal to 1%, 10%, and 100% of the training data.
      -
    • Store those values in 'samples_1', 'samples_10', and 'samples_100' respectively.
    • -
    -
  • -
-

Note: Depending on which algorithms you chose, the following implementation may take some time to run!

- -
-
-
-
-
-
In [67]:
-
-
-
# TODO: Import the three supervised learning models from sklearn
-from sklearn.naive_bayes import GaussianNB
-from sklearn.tree import DecisionTreeClassifier
-from sklearn.ensemble import RandomForestClassifier
-
-# TODO: Initialize the three models
-clf_A = GaussianNB()
-clf_B = DecisionTreeClassifier(random_state=None)
-clf_C = RandomForestClassifier(max_depth=None, random_state=None)
-
-# TODO: Calculate the number of samples for 1%, 10%, and 100% of the training data
-# HINT: samples_100 is the entire training set i.e. len(y_train)
-# HINT: samples_10 is 10% of samples_100
-# HINT: samples_1 is 1% of samples_100
-
-samples_100 = len(y_train)
-samples_10 = int(len(y_train)*10/100)
-samples_1 = int(len(y_train)*1/100)
-
-# Collect results on the learners
-results = {}
-for clf in [clf_A, clf_B, clf_C]:
-    clf_name = clf.__class__.__name__
-    results[clf_name] = {}
-    for i, samples in enumerate([samples_1, samples_10, samples_100]):
-        results[clf_name][i] = \
-        train_predict(clf, samples, X_train, y_train, X_test, y_test)
-
-# Run metrics visualization for the three supervised learning models chosen
-#print(results)
-vs.evaluate(results, accuracy, fscore)
-
- -
-
-
- -
-
- - -
-
- -
-
GaussianNB trained on 361 samples.
-GaussianNB trained on 3617 samples.
-GaussianNB trained on 36177 samples.
-DecisionTreeClassifier trained on 361 samples.
-DecisionTreeClassifier trained on 3617 samples.
-DecisionTreeClassifier trained on 36177 samples.
-RandomForestClassifier trained on 361 samples.
-RandomForestClassifier trained on 3617 samples.
-RandomForestClassifier trained on 36177 samples.
-VERSION:
-2.0.2
-
-
-
- -
-
- - - -
- -
- -
- -
-
- -
-
-
-
-
-
-
-

Improving Results

In this final section, you will choose from the three supervised learning models the best model to use on the student data. You will then perform a grid search optimization for the model over the entire training set (X_train and y_train) by tuning at least one parameter to improve upon the untuned model's F-score.

- -
-
-
-
-
-
-
-
-

Question 3 - Choosing the Best Model

    -
  • Based on the evaluation you performed earlier, in one to two paragraphs, explain to CharityML which of the three models you believe to be most appropriate for the task of identifying individuals that make more than \$50,000.
  • -
-

HINT: -Look at the graph at the bottom left from the cell above(the visualization created by vs.evaluate(results, accuracy, fscore)) and check the F score for the testing set when 100% of the training set is used. Which model has the highest score? Your answer should include discussion of the:

-
    -
  • metrics - F score on the testing when 100% of the training data is used,
  • -
  • prediction/training time
  • -
  • the algorithm's suitability for the data.
  • -
- -
-
-
-
-
-
-
-
-

Answer:

-

Based on the results, I most definitely believe that a random forest model will be most appropriate for this task.

-
    -
  • When 100% of the training data is used, The F score for Random forest is higher (0.674) compared to other models (Decision trees - 0.624 and Gaussian Naive Bayes - 0.42)
  • -
  • Training time Gaussian Naive Bayes:

    -
      -
    • train_time': Training time: 0.06458330154418945 Prediction Time: 0.018869876861572266
    • -
    • Decision Trees: Training time: 0.43198680877685547, Prediction Time: 0.005912303924560547
    • -
    • Random forest: Training time: 0.5828454494476318, Prediction Time: 0.034857749938964844

      -

      The training and prediction time is higher than the other models

      -
    • -
    -
  • -
  • Based on these factors, random forest is better suited to make predictions. It performs fairly well and the training time and prediction times are on acceptable levels.

    -
  • -
- -
-
-
-
-
-
-
-
-

Question 4 - Describing the Model in Layman's Terms

    -
  • In one to two paragraphs, explain to CharityML, in layman's terms, how the final model chosen is supposed to work. Be sure that you are describing the major qualities of the model, such as how the model is trained and how the model makes a prediction. Avoid using advanced mathematical jargon, such as describing equations.
  • -
-

HINT:

-

When explaining your model, if using external resources please include all citations.

- -
-
-
-
-
-
-
-
-

Answer:

-

To understand how Random Forest works, we need to first understand how the Decision Tree algorithm works.

-

A Decision tree is a classification algorithm that uses tree-like data structures to model decisions and their possible outcomes. The way the algorithm works is -

-
    -
  • Place the best attribute of the dataset at the root of the tree.
  • -
  • The nodes, or the place where a branch splits, is often called the 'decision node'. It usually represents a test/conditional. (Eg. If it's cloudy or sunny)
  • -
  • The branches represent the outcome of each decision.
  • -
  • The leaf nodes indicate the final outcome, or the label (in classification problems)
  • -
-

When used alone, decision trees are prone to overfitting. However, random forests help by correcting the possible overfitting that could occur. Random forests work by using multiple decision trees - using a multitude of different decision trees with different predictions, a random forest combines the results of those individual trees to give the final outcomes.

-

Random forest applies an ensemble algorithm called bagging to the decision trees, which help reduce variance and overfitting -

-
    -
  • Given a training set X = x1, ..., xn with the labels/outcomes Y = y1, ..., yn, bagging repeatedly (B times) selects a random sample with replacement of the training set
  • -
  • Train decision trees with those samples
  • -
  • Make the classifications by taking the majority vote of the classification trees
  • -
-

Out of all the tested models, random forest also seems like the best candidate to try tuning the hyper-parameters, and using other ensemble methods, like gradient boosting. This would result in improved accuracy scores.

-

References:

- - -
-
-
-
-
-
-
-
-

Implementation: Model Tuning

Fine tune the chosen model. Use grid search (GridSearchCV) with at least one important parameter tuned with at least 3 different values. You will need to use the entire training set for this. In the code cell below, you will need to implement the following:

-
    -
  • Import sklearn.grid_search.GridSearchCV and sklearn.metrics.make_scorer.
  • -
  • Initialize the classifier you've chosen and store it in clf.
      -
    • Set a random_state if one is available to the same state you set before.
    • -
    -
  • -
  • Create a dictionary of parameters you wish to tune for the chosen model.
      -
    • Example: parameters = {'parameter' : [list of values]}.
    • -
    • Note: Avoid tuning the max_features parameter of your learner if that parameter is available!
    • -
    -
  • -
  • Use make_scorer to create an fbeta_score scoring object (with $\beta = 0.5$).
  • -
  • Perform grid search on the classifier clf using the 'scorer', and store it in grid_obj.
  • -
  • Fit the grid search object to the training data (X_train, y_train), and store it in grid_fit.
  • -
-

Note: Depending on the algorithm chosen and the parameter list, the following implementation may take some time to run!

- -
-
-
-
-
-
In [65]:
-
-
-
# TODO: Import 'GridSearchCV', 'make_scorer', and any other necessary libraries
-from sklearn.model_selection import GridSearchCV
-from sklearn.metrics import make_scorer
-# TODO: Initialize the classifier
-clf = RandomForestClassifier(max_depth=None, random_state=None)
-
-# TODO: Create the parameters list you wish to tune, using a dictionary if needed.
-# HINT: parameters = {'parameter_1': [value1, value2], 'parameter_2': [value1, value2]}
-parameters = {'n_estimators': [20, 40, 60], 'warm_start': [False, True], 'criterion': ['gini', 'entropy'], 'bootstrap': [True, False]}
-
-# TODO: Make an fbeta_score scoring object using make_scorer()
-scorer = make_scorer(fbeta_score, beta=0.5)
-
-# TODO: Perform grid search on the classifier using 'scorer' as the scoring method using GridSearchCV()
-grid_obj = GridSearchCV(clf, parameters, scoring=scorer)
-
-# TODO: Fit the grid search object to the training data and find the optimal parameters using fit()
-grid_fit = grid_obj.fit(X_train, y_train)
-
-# Get the estimator
-best_clf = grid_fit.best_estimator_
-
-# Make predictions using the unoptimized and model
-predictions = (clf.fit(X_train, y_train)).predict(X_test)
-best_predictions = best_clf.predict(X_test)
-
-# Report the before-and-afterscores
-print("Unoptimized model\n------")
-print("Accuracy score on testing data: {:.4f}".format(accuracy_score(y_test, predictions)))
-print("F-score on testing data: {:.4f}".format(fbeta_score(y_test, predictions, beta = 0.5)))
-print("\nOptimized Model\n------")
-print("Final accuracy score on the testing data: {:.4f}".format(accuracy_score(y_test, best_predictions)))
-print("Final F-score on the testing data: {:.4f}".format(fbeta_score(y_test, best_predictions, beta = 0.5)))
-
- -
-
-
- -
-
- - -
-
- -
-
Unoptimized model
-------
-Accuracy score on testing data: 0.8375
-F-score on testing data: 0.6710
-
-Optimized Model
-------
-Final accuracy score on the testing data: 0.8417
-Final F-score on the testing data: 0.6799
-
-
-
- -
-
- -
-
-
-
-
-
-

Question 5 - Final Model Evaluation

    -
  • What is your optimized model's accuracy and F-score on the testing data?
  • -
  • Are these scores better or worse than the unoptimized model?
  • -
  • How do the results from your optimized model compare to the naive predictor benchmarks you found earlier in Question 1?_
  • -
-

Note: Fill in the table below with your results, and then provide discussion in the Answer box.

- -
-
-
-
-
-
-
-
-

Results:

- - - - - - - - - - - - - - - - - - -
MetricUnoptimized ModelOptimized Model
Accuracy Score0.83750.8417
F-score0.67100.6799
- -
-
-
-
-
-
-
-
-

Answer: -Both the scores seem to be improving slightly, but not conclusive enough. One possible reason could be that all the features in the data-set are given equal importance. Some other not-so-relevant features might also be interfering with the training

- -
-
-
-
-
-
-
-
-
-

Feature Importance

An important task when performing supervised learning on a dataset like the census data we study here is determining which features provide the most predictive power. By focusing on the relationship between only a few crucial features and the target label we simplify our understanding of the phenomenon, which is most always a useful thing to do. In the case of this project, that means we wish to identify a small number of features that most strongly predict whether an individual makes at most or more than \$50,000.

-

Choose a scikit-learn classifier (e.g., adaboost, random forests) that has a feature_importance_ attribute, which is a function that ranks the importance of features according to the chosen classifier. In the next python cell fit this classifier to training set and use this attribute to determine the top 5 most important features for the census dataset.

- -
-
-
-
-
-
-
-
-

Question 6 - Feature Relevance Observation

When Exploring the Data, it was shown there are thirteen available features for each individual on record in the census data. Of these thirteen records, which five features do you believe to be most important for prediction, and in what order would you rank them and why?

- -
-
-
-
-
-
-
-
-

Answer:

-
    -
  • Capital Gain: This can also be a big factor, since it's directly related to how much income a person generates.
  • -
  • Occupation: I believe that this plays an important role, because the income of a person is usually related to the kind of work the individual does. People working in higher end managerial roles usually have higher paycheques
  • -
  • Working Class: People working in private sectors, federal government, and self emplyed folks make better living than other people.
  • -
  • Education: People who have advanced degrees have better incomes than those without
  • -
  • Native Country: People in developed countries have higher incomes and higher standards of living, so they're more likely to contribute, as compared to developing countries.
  • -
- -
-
-
-
-
-
-
-
-

Implementation - Extracting Feature Importance

Choose a scikit-learn supervised learning algorithm that has a feature_importance_ attribute availble for it. This attribute is a function that ranks the importance of each feature when making predictions based on the chosen algorithm.

-

In the code cell below, you will need to implement the following:

-
    -
  • Import a supervised learning model from sklearn if it is different from the three used earlier.
  • -
  • Train the supervised model on the entire training set.
  • -
  • Extract the feature importances using '.feature_importances_'.
  • -
- -
-
-
-
-
-
In [63]:
-
-
-
# TODO: Import a supervised learning model that has 'feature_importances_'
-from sklearn.tree import DecisionTreeRegressor
-from sklearn.ensemble import AdaBoostRegressor
-
-# TODO: Train the supervised model on the training set using .fit(X_train, y_train)
-model = AdaBoostRegressor(DecisionTreeRegressor(max_depth=None, random_state=None))
-model = model.fit(X_train, y_train)
-# TODO: Extract the feature importances using .feature_importances_ 
-importances = model.feature_importances_
-# Plot
-vs.feature_plot(importances, X_train, y_train)
-
- -
-
-
- -
-
- - -
-
- - - -
- -
- -
- -
-
- -
-
-
-
-
-
-

Question 7 - Extracting Feature Importance

Observe the visualization created above which displays the five most relevant features for predicting if an individual makes at most or above \$50,000.

-
    -
  • How do these five features compare to the five features you discussed in Question 6?
  • -
  • If you were close to the same answer, how does this visualization confirm your thoughts?
  • -
  • If you were not close, why do you think these features are more relevant?
  • -
- -
-
-
-
-
-
-
-
-

Answer: -Looks like I was way off with my guesses. Looks like some other factors are more relevant than what I previously assumed.

-
    -
  • Age: Middle aged people are more like to donate, because they would have made substantial savings
  • -
  • Hours per week: Business-men often work for longer hours, this could be an indicator.
  • -
  • Marital Status: Married people have a good support system, and if both the partners earn then the probability of donating to a charity is higher
  • -
  • Education Number: Number of years of education makes sense.
  • -
  • Capital Gain: I had guesed this feature to be a major factor before
  • -
- -
-
-
-
-
-
-
-
-

Feature Selection

How does a model perform if we only use a subset of all the available features in the data? With less features required to train, the expectation is that training and prediction time is much lower — at the cost of performance metrics. From the visualization above, we see that the top five most important features contribute more than half of the importance of all features present in the data. This hints that we can attempt to reduce the feature space and simplify the information required for the model to learn. The code cell below will use the same optimized model you found earlier, and train it on the same training set with only the top five important features.

- -
-
-
-
-
-
In [66]:
-
-
-
# Import functionality for cloning a model
-from sklearn.base import clone
-
-# Reduce the feature space
-X_train_reduced = X_train[X_train.columns.values[(np.argsort(importances)[::-1])[:5]]]
-X_test_reduced = X_test[X_test.columns.values[(np.argsort(importances)[::-1])[:5]]]
-
-# Train on the "best" model found from grid search earlier
-clf = (clone(best_clf)).fit(X_train_reduced, y_train)
-
-# Make new predictions
-reduced_predictions = clf.predict(X_test_reduced)
-
-# Report scores from the final model using both versions of data
-print("Final Model trained on full data\n------")
-print("Accuracy on testing data: {:.4f}".format(accuracy_score(y_test, best_predictions)))
-print("F-score on testing data: {:.4f}".format(fbeta_score(y_test, best_predictions, beta = 0.5)))
-print("\nFinal Model trained on reduced data\n------")
-print("Accuracy on testing data: {:.4f}".format(accuracy_score(y_test, reduced_predictions)))
-print("F-score on testing data: {:.4f}".format(fbeta_score(y_test, reduced_predictions, beta = 0.5)))
-
- -
-
-
- -
-
- - -
-
- -
-
Final Model trained on full data
-------
-Accuracy on testing data: 0.8417
-F-score on testing data: 0.6799
-
-Final Model trained on reduced data
-------
-Accuracy on testing data: 0.8345
-F-score on testing data: 0.6651
-
-
-
- -
-
- -
-
-
-
-
-
-

Question 8 - Effects of Feature Selection

    -
  • How does the final model's F-score and accuracy score on the reduced data using only five features compare to those same scores when all features are used?
  • -
  • If training time was a factor, would you consider using the reduced data as your training set?
  • -
- -
-
-
-
-
-
-
-
-

Answer: -Actually the final model's F-score and accuracy seems to be decreasing slightly. Maybe some more features need to be included in.

-

The training time isn't much, so I'd use the complete data as my training set. But in a scenario where there are lots of samples, I'd consider using the reduced data-set. Although, there might be certain trade-offs between training time and performance.

- -
-
-
-
-
-
-
-
-

Note: Once you have completed all of the code implementations and successfully answered each question above, you may finalize your work by exporting the iPython Notebook as an HTML document. You can do this by using the menu above and navigating to
-File -> Download as -> HTML (.html). Include the finished document along with this notebook as your submission.

-
- -
-
-
-
-
- - - - - - diff --git a/game-of-wines/game-of-wines.ipynb b/game-of-wines/game-of-wines.ipynb index f85f2f1..3a46bf5 100644 --- a/game-of-wines/game-of-wines.ipynb +++ b/game-of-wines/game-of-wines.ipynb @@ -27,11 +27,20 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": { - "collapsed": true + "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:155: UserWarning: A NumPy version >=1.18.5 and <1.25.0 is required for this version of SciPy (detected version 1.25.1\n", + " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n" + ] + } + ], "source": [ "# Import libraries necessary for this project\n", "import numpy as np\n", @@ -71,25 +80,27 @@ }, { "cell_type": "code", - "execution_count": 2, - "metadata": {}, + "execution_count": 3, + "metadata": { + "tags": [] + }, "outputs": [ { "data": { "text/html": [ "
\n", - "\n", "\n", " \n", @@ -239,13 +250,37 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "metadata": { - "collapsed": true + "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "fixed acidity False\n", + "volatile acidity False\n", + "citric acid False\n", + "residual sugar False\n", + "chlorides False\n", + "free sulfur dioxide False\n", + "total sulfur dioxide False\n", + "density False\n", + "pH False\n", + "sulphates False\n", + "alcohol False\n", + "quality False\n", + "dtype: bool" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# TODO: Find if the data has any null information" + "# TODO: Find if the data has any null information\n", + "data.isnull().any()" ] }, { @@ -257,13 +292,40 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "metadata": { - "collapsed": true + "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 1599 entries, 0 to 1598\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 fixed acidity 1599 non-null float64\n", + " 1 volatile acidity 1599 non-null float64\n", + " 2 citric acid 1599 non-null float64\n", + " 3 residual sugar 1599 non-null float64\n", + " 4 chlorides 1599 non-null float64\n", + " 5 free sulfur dioxide 1599 non-null float64\n", + " 6 total sulfur dioxide 1599 non-null float64\n", + " 7 density 1599 non-null float64\n", + " 8 pH 1599 non-null float64\n", + " 9 sulphates 1599 non-null float64\n", + " 10 alcohol 1599 non-null float64\n", + " 11 quality 1599 non-null int64 \n", + "dtypes: float64(11), int64(1)\n", + "memory usage: 150.0 KB\n" + ] + } + ], "source": [ - "#TODO: Get additional information about the data" + "#TODO: Get additional information about the data\n", + "data.info()" ] }, { @@ -275,11 +337,23 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, "metadata": { - "collapsed": true + "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total number of wine data: 1599\n", + "Wines with rating 7 and above: 217\n", + "Wines with rating less than 5: 63\n", + "Wines with rating 5 and 6: 1319\n", + "Percentage of wines with quality 7 and above: 13.57%\n" + ] + } + ], "source": [ "# Total number of wines\n", "n_wines = data.shape[0]\n", @@ -289,23 +363,23 @@ "n_above_6 = quality_above_6.shape[0]\n", "\n", "# TODO: Number of wines with quality rating below 5\n", - "quality_below_5 = ''\n", - "n_below_5 = ''\n", + "quality_below_5 = data.loc[(data['quality'] < 5)]\n", + "n_below_5 = quality_below_5.shape[0]\n", "\n", "# TODO: Number of wines with quality rating between 5 to 6\n", - "quality_between_5 = ''\n", - "n_between_5 = ''\n", + "quality_between_5 = data.loc[(data['quality'] <= 6) & (data['quality'] >= 5)]\n", + "n_between_5 = quality_between_5.shape[0]\n", "\n", "# Percentage of wines with quality rating above 6\n", - "greater_percent = ''\n", + "greater_percent = n_above_6 / n_wines * 100\n", "\n", "# Print the results\n", "\n", - "# print(\"Total number of wine data: {}\".format(n_wines))\n", - "# print(\"Wines with rating 7 and above: {}\".format(n_above_6))\n", - "# print(\"Wines with rating less than 5: {}\".format(n_below_5))\n", - "# print(\"Wines with rating 5 and 6: {}\".format(n_between_5))\n", - "# print(\"Percentage of wines with quality 7 and above: {:.2f}%\".format(greater_percent))" + "print(\"Total number of wine data: {}\".format(n_wines))\n", + "print(\"Wines with rating 7 and above: {}\".format(n_above_6))\n", + "print(\"Wines with rating less than 5: {}\".format(n_below_5))\n", + "print(\"Wines with rating 5 and 6: {}\".format(n_between_5))\n", + "print(\"Percentage of wines with quality 7 and above: {:.2f}%\".format(greater_percent))" ] }, { @@ -319,11 +393,38 @@ "cell_type": "code", "execution_count": 14, "metadata": { - "collapsed": true + "tags": [] }, - "outputs": [], + "outputs": [ + { + "ename": "ValueError", + "evalue": "The number of FixedLocator locations (5), usually from a call to set_ticks, does not match the number of ticklabels (6).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[14], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# TODO: Visualize skewed continuous features of original data\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[43mvs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdistribution\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mquality\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/ML-supervised-learning/game-of-wines/visuals.py:41\u001b[0m, in \u001b[0;36mdistribution\u001b[0;34m(data, feature_label, transformed)\u001b[0m\n\u001b[1;32m 39\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_ylim((\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1500\u001b[39m))\n\u001b[1;32m 40\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_yticks([\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m200\u001b[39m, \u001b[38;5;241m400\u001b[39m, \u001b[38;5;241m600\u001b[39m, \u001b[38;5;241m800\u001b[39m])\n\u001b[0;32m---> 41\u001b[0m \u001b[43max\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_yticklabels\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m200\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m400\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m600\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m800\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m>1000\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 43\u001b[0m \u001b[38;5;66;03m# Plot aesthetics\u001b[39;00m\n\u001b[1;32m 44\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m transformed:\n", + "File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/matplotlib/axes/_base.py:75\u001b[0m, in \u001b[0;36m_axis_method_wrapper.__set_name__..wrapper\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 74\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m---> 75\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mget_method\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/matplotlib/axis.py:1798\u001b[0m, in \u001b[0;36mAxis._set_ticklabels\u001b[0;34m(self, labels, fontdict, minor, **kwargs)\u001b[0m\n\u001b[1;32m 1796\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m fontdict \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1797\u001b[0m kwargs\u001b[38;5;241m.\u001b[39mupdate(fontdict)\n\u001b[0;32m-> 1798\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_ticklabels\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlabels\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mminor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mminor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/matplotlib/axis.py:1720\u001b[0m, in \u001b[0;36mAxis.set_ticklabels\u001b[0;34m(self, ticklabels, minor, **kwargs)\u001b[0m\n\u001b[1;32m 1716\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(locator, mticker\u001b[38;5;241m.\u001b[39mFixedLocator):\n\u001b[1;32m 1717\u001b[0m \u001b[38;5;66;03m# Passing [] as a list of ticklabels is often used as a way to\u001b[39;00m\n\u001b[1;32m 1718\u001b[0m \u001b[38;5;66;03m# remove all tick labels, so only error for > 0 ticklabels\u001b[39;00m\n\u001b[1;32m 1719\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(locator\u001b[38;5;241m.\u001b[39mlocs) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28mlen\u001b[39m(ticklabels) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(ticklabels) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m-> 1720\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 1721\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThe number of FixedLocator locations\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1722\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(locator\u001b[38;5;241m.\u001b[39mlocs)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m), usually from a call to\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1723\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m set_ticks, does not match\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1724\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m the number of ticklabels (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(ticklabels)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 1725\u001b[0m tickd \u001b[38;5;241m=\u001b[39m {loc: lab \u001b[38;5;28;01mfor\u001b[39;00m loc, lab \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(locator\u001b[38;5;241m.\u001b[39mlocs, ticklabels)}\n\u001b[1;32m 1726\u001b[0m func \u001b[38;5;241m=\u001b[39m functools\u001b[38;5;241m.\u001b[39mpartial(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_format_with_dict, tickd)\n", + "\u001b[0;31mValueError\u001b[0m: The number of FixedLocator locations (5), usually from a call to set_ticks, does not match the number of ticklabels (6)." + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# TODO: Visualize skewed continuous features of original data\n" + "# TODO: Visualize skewed continuous features of original data\n", + "vs.distribution(data, \"quality\")" ] }, { @@ -335,13 +436,210 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 17, "metadata": { - "collapsed": true + "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
count1599.01599.01599.01599.01599.01599.01599.01599.01599.01599.01599.01599.0
mean8.01.00.03.00.016.046.01.03.01.010.06.0
std2.00.00.01.00.010.033.00.00.00.01.01.0
min5.00.00.01.00.01.06.01.03.00.08.03.0
25%7.00.00.02.00.07.022.01.03.01.010.05.0
50%8.01.00.02.00.014.038.01.03.01.010.06.0
75%9.01.00.03.00.021.062.01.03.01.011.06.0
max16.02.01.016.01.072.0289.01.04.02.015.08.0
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar \\\n", + "count 1599.0 1599.0 1599.0 1599.0 \n", + "mean 8.0 1.0 0.0 3.0 \n", + "std 2.0 0.0 0.0 1.0 \n", + "min 5.0 0.0 0.0 1.0 \n", + "25% 7.0 0.0 0.0 2.0 \n", + "50% 8.0 1.0 0.0 2.0 \n", + "75% 9.0 1.0 0.0 3.0 \n", + "max 16.0 2.0 1.0 16.0 \n", + "\n", + " chlorides free sulfur dioxide total sulfur dioxide density pH \\\n", + "count 1599.0 1599.0 1599.0 1599.0 1599.0 \n", + "mean 0.0 16.0 46.0 1.0 3.0 \n", + "std 0.0 10.0 33.0 0.0 0.0 \n", + "min 0.0 1.0 6.0 1.0 3.0 \n", + "25% 0.0 7.0 22.0 1.0 3.0 \n", + "50% 0.0 14.0 38.0 1.0 3.0 \n", + "75% 0.0 21.0 62.0 1.0 3.0 \n", + "max 1.0 72.0 289.0 1.0 4.0 \n", + "\n", + " sulphates alcohol quality \n", + "count 1599.0 1599.0 1599.0 \n", + "mean 1.0 10.0 6.0 \n", + "std 0.0 1.0 1.0 \n", + "min 0.0 8.0 3.0 \n", + "25% 1.0 10.0 5.0 \n", + "50% 1.0 10.0 6.0 \n", + "75% 1.0 11.0 6.0 \n", + "max 2.0 15.0 8.0 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#TODO: Get some additional statistics, like mean, median and standard deviation" + "#TODO: Get some additional statistics, like mean, median and standard deviation\n", + "display(np.round(data.describe()))" ] }, { @@ -362,37 +660,77 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 18, "metadata": { - "collapsed": true, - "scrolled": false + "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#TODO: Draw a scatter-plot of features" + "#TODO: Draw a scatter-plot of features\n", + "pd.plotting.scatter_matrix(data, alpha = 0.3, figsize = (40,40), diagonal = 'kde');" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 19, "metadata": { - "collapsed": true + "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#TODO: Draw a heatmap between features" + "#TODO: Draw a heatmap between features\n", + "correlation = data.corr()\n", + "# display(correlation)\n", + "plt.figure(figsize=(14, 12))\n", + "heatmap = sns.heatmap(correlation, annot=True, linewidths=0, vmin=-1, cmap=\"RdBu_r\")" ] }, { "cell_type": "code", - "execution_count": 19, - "metadata": {}, + "execution_count": 24, + "metadata": { + "tags": [] + }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:1689: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAGoCAYAAAATsnHAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nKwIAAAAASUVORK5CYII=\n", + "image/png": "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", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -406,7 +744,7 @@ "fixedAcidity_pH = data[['pH', 'fixed acidity']]\n", "\n", "#Initialize a joint-grid with the dataframe, using seaborn library\n", - "gridA = sns.JointGrid(x=\"fixed acidity\", y=\"pH\", data=fixedAcidity_pH, size=6)\n", + "gridA = sns.JointGrid(x=\"fixed acidity\", y=\"pH\", data=fixedAcidity_pH, height=6)\n", "\n", "#Draws a regression plot in the grid \n", "gridA = gridA.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", @@ -417,25 +755,70 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 26, "metadata": { - "collapsed": true + "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:1667: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:1689: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#TODO: Visualize a plot between Citric Acid levels and Fixed Acidity" + "#TODO: Visualize a plot between Citric Acid levels and Fixed Acidity\n", + "fixedAcidity_citricAcid = data[['citric acid', 'fixed acidity']]\n", + "g = sns.JointGrid(x=\"fixed acidity\", y=\"citric acid\", data=fixedAcidity_citricAcid, size=6)\n", + "g = g.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "g = g.plot_marginals(sns.distplot)" ] }, { "cell_type": "code", - "execution_count": 23, - "metadata": {}, + "execution_count": 28, + "metadata": { + "tags": [] + }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:1667: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:1689: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbUAAAGoCAYAAADB4nuYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n2XBSMzOzbDipmZlZNpzUzMwsG/8LxOWL4tv2QIsAAAAASUVORK5CYII=\n", + "image/png": "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", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -452,14 +835,30 @@ }, { "cell_type": "code", - "execution_count": 24, - "metadata": {}, + "execution_count": 29, + "metadata": { + "tags": [] + }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:1667: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:1689: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZ8AAAGoCAYAAACZneiBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\niIjETslHRERip+QjIiKx+3/aBjbpF4Qm0QAAAABJRU5ErkJggg==\n", + "image/png": "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", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -476,14 +875,16 @@ }, { "cell_type": "code", - "execution_count": 25, - "metadata": {}, + "execution_count": 30, + "metadata": { + "tags": [] + }, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAsgAAAGoCAYAAABbtxOxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngIGCDAAAg/8f2UnqnCZ6TwQAAAAASUVORK5CYII=\n", + "image/png": "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", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -492,7 +893,7 @@ { "data": { "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -513,14 +914,30 @@ }, { "cell_type": "code", - "execution_count": 26, - "metadata": {}, + "execution_count": 31, + "metadata": { + "tags": [] + }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:1667: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:1689: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZ8AAAGoCAYAAACZneiBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "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", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -537,24 +954,81 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 32, "metadata": { - "collapsed": true + "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#TODO: Visualize quality vs alcohol with a bar plot" + "#TODO: Visualize quality vs alcohol with a bar plot\n", + "fig, axs = plt.subplots(ncols=1,figsize=(10,6))\n", + "sns.barplot(x='quality', y='alcohol', data=quality_alcohol, ax=axs)\n", + "plt.title('quality VS alcohol')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "plt.gcf().clear()" ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 33, "metadata": { - "collapsed": true + "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:1667: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:1689: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# TODO (OPTIONAL): Select any two features of your choice and view their relationship" + "# TODO (OPTIONAL): Select any two features of your choice and view their relationship\n", + "sulphates_chlorides = data[['sulphates', 'chlorides']]\n", + "\n", + "g = sns.JointGrid(x=\"sulphates\", y=\"chlorides\", data=sulphates_chlorides, size=6)\n", + "g = g.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "g = g.plot_marginals(sns.distplot)" ] }, { @@ -578,15 +1052,75 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 51, "metadata": { - "collapsed": true + "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "49\n", + "1599\n", + "1550\n", + "19\n", + "1599\n", + "1580\n", + "1\n", + "1599\n", + "1598\n", + "155\n", + "1599\n", + "1444\n", + "112\n", + "1599\n", + "1487\n", + "30\n", + "1599\n", + "1569\n", + "55\n", + "1599\n", + "1544\n", + "45\n", + "1599\n", + "1554\n", + "35\n", + "1599\n", + "1564\n", + "59\n", + "1599\n", + "1540\n", + "13\n", + "1599\n", + "1586\n", + "28\n", + "1599\n", + "1571\n" + ] + } + ], "source": [ "#TODO: Find outliers for each feature\n", "\n", - "# For each feature find the data points with extreme high or low values\n" + "# For each feature find the data points with extreme high or low values\n", + "for feature in data.keys():\n", + " Q1 = np.percentile(data[feature], q=25)\n", + " Q3 = np.percentile(data[feature], q=75)\n", + " \n", + " iqr = Q3 - Q1\n", + " step = 1.5 * iqr\n", + " \n", + " #print(\"Data points considered outliers for the feature '{}':\".format(feature))\n", + " #display(data[~((data[feature] >= Q1 - step) & (data[feature] <= Q3 + step))])\n", + " \n", + " outliers = data[~((data[feature] >= Q1 - step) & (data[feature] <= Q3 + step))].index.values\n", + " \n", + " good_data = data.drop(data.index[outliers]).reset_index(drop = True)\n", + " \n", + " print(outliers.shape[0])\n", + " print(data.shape[0])\n", + " print(good_data.shape[0])" ] }, { @@ -607,18 +1141,157 @@ }, { "cell_type": "code", - "execution_count": 36, - "metadata": {}, + "execution_count": 86, + "metadata": { + "tags": [] + }, "outputs": [ { "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholqualityquality_cat
07.40.700.001.90.07611.034.00.99783.510.569.450
17.80.880.002.60.09825.067.00.99683.200.689.850
27.80.760.042.30.09215.054.00.99703.260.659.850
311.20.280.561.90.07517.060.00.99803.160.589.861
47.40.700.001.90.07611.034.00.99783.510.569.450
\n", + "
" + ], "text/plain": [ - "'\\nFor our purposes, all wines with ratings less than 5 will fall under 0 (poor) category,\\nwines with ratings 5 and 6 will be classified with the value 1 (average), \\nand wines with 7 and above will be of great quality (2).\\n'" + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "0 7.4 0.70 0.00 1.9 0.076 \n", + "1 7.8 0.88 0.00 2.6 0.098 \n", + "2 7.8 0.76 0.04 2.3 0.092 \n", + "3 11.2 0.28 0.56 1.9 0.075 \n", + "4 7.4 0.70 0.00 1.9 0.076 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "0 11.0 34.0 0.9978 3.51 0.56 \n", + "1 25.0 67.0 0.9968 3.20 0.68 \n", + "2 15.0 54.0 0.9970 3.26 0.65 \n", + "3 17.0 60.0 0.9980 3.16 0.58 \n", + "4 11.0 34.0 0.9978 3.51 0.56 \n", + "\n", + " alcohol quality quality_cat \n", + "0 9.4 5 0 \n", + "1 9.8 5 0 \n", + "2 9.8 5 0 \n", + "3 9.8 6 1 \n", + "4 9.4 5 0 " ] }, - "execution_count": 36, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -627,7 +1300,14 @@ "For our purposes, all wines with ratings less than 5 will fall under 0 (poor) category,\n", "wines with ratings 5 and 6 will be classified with the value 1 (average), \n", "and wines with 7 and above will be of great quality (2).\n", - "\"\"\"" + "\"\"\"\n", + "\n", + "\n", + "quality_cat = pd.cut(data2.quality,bins=[0,5,6,100],labels=[0,1,2])\n", + "\n", + "data.insert(12, \"quality_cat\", quality_cat)\n", + "\n", + "display(data.head(n=5))" ] }, { @@ -639,17 +1319,23 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 92, "metadata": { - "collapsed": true + "tags": [] }, "outputs": [], "source": [ "# TODO: Import train_test_split from sklearn\n", + "from sklearn.linear_model import LinearRegression\n", + "from sklearn.model_selection import train_test_split\n", "\n", "# TODO: Split the 'features' and 'income' data into training and testing sets\n", + "x = data.iloc[:, :-1]\n", + "y = data.iloc[:, -1]\n", "\n", - "# TODO: Show the results of the split" + "# TODO: Show the results of the split\n", + "X_train, X_test, y_train, y_test = train_test_split(\n", + " X, y, test_size=0.05, random_state=0)" ] }, { @@ -699,9 +1385,9 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 96, "metadata": { - "collapsed": true + "tags": [] }, "outputs": [], "source": [ @@ -785,24 +1471,94 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 95, "metadata": { - "collapsed": true + "tags": [] }, "outputs": [], + "source": [ + "from sklearn.naive_bayes import GaussianNB\n", + "from sklearn import tree\n", + "from sklearn.neighbors import KNeighborsClassifier" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GaussianNB trained on 1519 samples.\n", + "{'train_time': 0.01581406593322754, 'pred_time': 0.011101007461547852, 'acc_train': 1.0, 'acc_test': 0.9875, 'f_train': 1.0, 'f_test': 0.9875}\n", + "GaussianNB trained on 151 samples.\n", + "{'train_time': 0.007778644561767578, 'pred_time': 0.0055751800537109375, 'acc_train': 0.9833333333333333, 'acc_test': 0.9875, 'f_train': 0.9833333333333333, 'f_test': 0.9875}\n", + "GaussianNB trained on 15 samples.\n", + "{'train_time': 0.0025148391723632812, 'pred_time': 0.002897977828979492, 'acc_train': 0.89, 'acc_test': 0.9, 'f_train': 0.89, 'f_test': 0.8999999999999999}\n", + "DecisionTreeClassifier trained on 1519 samples.\n", + "{'train_time': 0.0038602352142333984, 'pred_time': 0.0027875900268554688, 'acc_train': 1.0, 'acc_test': 1.0, 'f_train': 1.0, 'f_test': 1.0}\n", + "DecisionTreeClassifier trained on 151 samples.\n", + "{'train_time': 0.0023953914642333984, 'pred_time': 0.00811767578125, 'acc_train': 1.0, 'acc_test': 1.0, 'f_train': 1.0, 'f_test': 1.0}\n", + "DecisionTreeClassifier trained on 15 samples.\n", + "{'train_time': 0.002344369888305664, 'pred_time': 0.0031290054321289062, 'acc_train': 0.86, 'acc_test': 0.8125, 'f_train': 0.86, 'f_test': 0.8125}\n", + "KNeighborsClassifier trained on 1519 samples.\n", + "{'train_time': 0.004030466079711914, 'pred_time': 0.01562976837158203, 'acc_train': 0.8633333333333333, 'acc_test': 0.6625, 'f_train': 0.8633333333333333, 'f_test': 0.6625}\n", + "KNeighborsClassifier trained on 151 samples.\n", + "{'train_time': 0.0020360946655273438, 'pred_time': 0.015407800674438477, 'acc_train': 0.6633333333333333, 'acc_test': 0.65, 'f_train': 0.6633333333333333, 'f_test': 0.6500000000000001}\n", + "KNeighborsClassifier trained on 15 samples.\n", + "{'train_time': 0.0021543502807617188, 'pred_time': 0.027750730514526367, 'acc_train': 0.49, 'acc_test': 0.45, 'f_train': 0.49, 'f_test': 0.44999999999999996}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n", + " mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n", + "/opt/conda/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n", + " mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n", + "/opt/conda/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n", + " mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n", + "/opt/conda/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n", + " mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n", + "/opt/conda/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n", + " mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n", + "/opt/conda/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n", + " mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n" + ] + } + ], "source": [ "# TODO: Import any three supervised learning classification models from sklearn\n", "\n", "# TODO: Initialize the three models\n", - "\n", + "clf_A = GaussianNB()\n", + "clf_B = tree.DecisionTreeClassifier()\n", + "clf_C = KNeighborsClassifier(n_neighbors=3)\n", "\n", "# TODO: Calculate the number of samples for 1%, 10%, and 100% of the training data\n", "# HINT: samples_100 is the entire training set i.e. len(y_train)\n", + "samples_100 = len(y_train)\n", "# HINT: samples_10 is 10% of samples_100\n", + "samples_10 = int(samples_100 * .1)\n", "# HINT: samples_1 is 1% of samples_100\n", + "samples_1 = int(samples_100 * .01)\n", "\n", "\n", "# TODO: Collect results on the learners\n", + "print(train_predict_evaluate(clf_A, samples_100, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_A, samples_10, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_A, samples_1, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_B, samples_100, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_B, samples_10, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_B, samples_1, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_C, samples_100, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_C, samples_10, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_C, samples_1, X_train, y_train, X_test, y_test))\n", "\n", "# TODO: Run metrics visualization for the three supervised learning models chosen using function in visuals.py\n" ] @@ -823,9 +1579,7 @@ }, { "cell_type": "markdown", - "metadata": { - "collapsed": true - }, + "metadata": {}, "source": [ "----\n", "## Feature Importance\n", @@ -852,7 +1606,10 @@ "cell_type": "code", "execution_count": 42, "metadata": { - "collapsed": true + "collapsed": true, + "jupyter": { + "outputs_hidden": true + } }, "outputs": [], "source": [ @@ -1000,10 +1757,586 @@ } ], "metadata": { + "availableInstances": [ + { + "_defaultOrder": 0, + "_isFastLaunch": true, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 4, + "name": "ml.t3.medium", + "vcpuNum": 2 + }, + { + "_defaultOrder": 1, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.t3.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 2, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.t3.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 3, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.t3.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 4, + "_isFastLaunch": true, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.m5.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 5, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.m5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 6, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.m5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 7, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.m5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 8, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.m5.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 9, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.m5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 10, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.m5.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 11, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.m5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 12, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.m5d.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 13, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.m5d.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 14, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.m5d.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 15, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.m5d.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 16, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.m5d.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 17, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.m5d.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 18, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.m5d.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 19, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.m5d.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 20, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": true, + "memoryGiB": 0, + "name": "ml.geospatial.interactive", + "supportedImageNames": [ + "sagemaker-geospatial-v1-0" + ], + "vcpuNum": 0 + }, + { + "_defaultOrder": 21, + "_isFastLaunch": true, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 4, + "name": "ml.c5.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 22, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.c5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 23, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.c5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 24, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.c5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 25, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 72, + "name": "ml.c5.9xlarge", + "vcpuNum": 36 + }, + { + "_defaultOrder": 26, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 96, + "name": "ml.c5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 27, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 144, + "name": "ml.c5.18xlarge", + "vcpuNum": 72 + }, + { + "_defaultOrder": 28, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.c5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 29, + "_isFastLaunch": true, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.g4dn.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 30, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.g4dn.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 31, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.g4dn.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 32, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.g4dn.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 33, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.g4dn.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 34, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.g4dn.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 35, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 61, + "name": "ml.p3.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 36, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 244, + "name": "ml.p3.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 37, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 488, + "name": "ml.p3.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 38, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 768, + "name": "ml.p3dn.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 39, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.r5.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 40, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.r5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 41, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.r5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 42, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.r5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 43, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.r5.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 44, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.r5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 45, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 512, + "name": "ml.r5.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 46, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 768, + "name": "ml.r5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 47, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.g5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 48, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.g5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 49, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.g5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 50, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.g5.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 51, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.g5.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 52, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.g5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 53, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.g5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 54, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 768, + "name": "ml.g5.48xlarge", + "vcpuNum": 192 + }, + { + "_defaultOrder": 55, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 1152, + "name": "ml.p4d.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 56, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 1152, + "name": "ml.p4de.24xlarge", + "vcpuNum": 96 + } + ], + "instance_type": "ml.t3.medium", "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (Data Science 3.0)", "language": "python", - "name": "python3" + "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east-2:429704687514:image/sagemaker-data-science-310-v1" }, "language_info": { "codemirror_mode": { @@ -1015,9 +2348,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.10.6" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/sagemaker-exercises/.ipynb_checkpoints/Langchain-AWSDemo-checkpoint.ipynb b/sagemaker-exercises/.ipynb_checkpoints/Langchain-AWSDemo-checkpoint.ipynb new file mode 100644 index 0000000..4734cc0 --- /dev/null +++ b/sagemaker-exercises/.ipynb_checkpoints/Langchain-AWSDemo-checkpoint.ipynb @@ -0,0 +1,641 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "2b6b539d-d1d9-44d1-bc1e-c644705c3e74", + "metadata": {}, + "source": [ + "Building a RAG app copying AWS video" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "5eb82553-98d8-4230-882a-40314b2aa9bb", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Note: you may need to restart the kernel to use updated packages.\n", + "Note: you may need to restart the kernel to use updated packages.\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "%pip install langchain==0.0.251 --quiet --root-user-action=ignore\n", + "%pip install faiss-cpu==1.7.4 --quiet --root-user-action=ignore\n", + "%pip install pypdf==3.15.1 --quiet --root-user-action=ignore" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4283359a-2024-4dae-813b-914d84ed9394", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "availableInstances": [ + { + "_defaultOrder": 0, + "_isFastLaunch": true, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 4, + "name": "ml.t3.medium", + "vcpuNum": 2 + }, + { + "_defaultOrder": 1, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.t3.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 2, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.t3.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 3, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.t3.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 4, + "_isFastLaunch": true, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.m5.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 5, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.m5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 6, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.m5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 7, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.m5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 8, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.m5.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 9, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.m5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 10, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.m5.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 11, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.m5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 12, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.m5d.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 13, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.m5d.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 14, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.m5d.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 15, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.m5d.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 16, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.m5d.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 17, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.m5d.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 18, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.m5d.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 19, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.m5d.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 20, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": true, + "memoryGiB": 0, + "name": "ml.geospatial.interactive", + "supportedImageNames": [ + "sagemaker-geospatial-v1-0" + ], + "vcpuNum": 0 + }, + { + "_defaultOrder": 21, + "_isFastLaunch": true, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 4, + "name": "ml.c5.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 22, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.c5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 23, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.c5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 24, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.c5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 25, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 72, + "name": "ml.c5.9xlarge", + "vcpuNum": 36 + }, + { + "_defaultOrder": 26, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 96, + "name": "ml.c5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 27, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 144, + "name": "ml.c5.18xlarge", + "vcpuNum": 72 + }, + { + "_defaultOrder": 28, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.c5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 29, + "_isFastLaunch": true, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.g4dn.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 30, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.g4dn.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 31, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.g4dn.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 32, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.g4dn.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 33, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.g4dn.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 34, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.g4dn.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 35, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 61, + "name": "ml.p3.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 36, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 244, + "name": "ml.p3.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 37, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 488, + "name": "ml.p3.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 38, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 768, + "name": "ml.p3dn.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 39, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.r5.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 40, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.r5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 41, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.r5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 42, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.r5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 43, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.r5.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 44, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.r5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 45, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 512, + "name": "ml.r5.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 46, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 768, + "name": "ml.r5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 47, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.g5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 48, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.g5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 49, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.g5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 50, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.g5.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 51, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.g5.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 52, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.g5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 53, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.g5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 54, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 768, + "name": "ml.g5.48xlarge", + "vcpuNum": 192 + }, + { + "_defaultOrder": 55, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 1152, + "name": "ml.p4d.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 56, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 1152, + "name": "ml.p4de.24xlarge", + "vcpuNum": 96 + } + ], + "instance_type": "ml.t3.medium", + "kernelspec": { + "display_name": "Python 3 (Data Science 3.0)", + "language": "python", + "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east-2:429704687514:image/sagemaker-data-science-310-v1" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/sagemaker-exercises/.ipynb_checkpoints/game-of-wines-checkpoint.ipynb b/sagemaker-exercises/.ipynb_checkpoints/game-of-wines-checkpoint.ipynb new file mode 100644 index 0000000..3a46bf5 --- /dev/null +++ b/sagemaker-exercises/.ipynb_checkpoints/game-of-wines-checkpoint.ipynb @@ -0,0 +1,2356 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Part 1: Using Data Science to Understand What Makes Wine Taste Good" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Section 1: Data Exploration\n", + "\n", + "In this section, we'll do some exploratory analysis to understand the nature of our data and the underlying distribution." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### First, import some necessary libraries. \n", + "\n", + "### Click the below cell block and run it." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:155: UserWarning: A NumPy version >=1.18.5 and <1.25.0 is required for this version of SciPy (detected version 1.25.1\n", + " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n" + ] + } + ], + "source": [ + "# Import libraries necessary for this project\n", + "import numpy as np\n", + "import pandas as pd\n", + "from time import time\n", + "from IPython.display import display # Allows the use of display() for displaying DataFrames\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Import supplementary visualization code visuals.py from project root folder\n", + "import visuals as vs\n", + "\n", + "# Pretty display for notebooks\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Usage of these libraries:\n", + "* [numpy](http://www.numpy.org/) is a package in python that is used for scientific computing. It supports higher-order mathematical functions, higher dimensional arrays, matrices and other data structures.\n", + "* [pandas](https://pandas.pydata.org/) is a very popular library that is used for a lot of data analysis and statistics related problems.\n", + "* [time](https://docs.python.org/3.7/library/time.html) - standard module in python that allows for time related functions\n", + "* [display](http://ipython.readthedocs.io/en/stable/api/generated/IPython.display.html?highlight=display) is a module in the IPython toolkit that helps you display data structures in a nice, readable format.\n", + "* [matplotlib](https://matplotlib.org/) is a very popular visualization library that lets you create a wide array of figures, charts and graphs in the IPython Notebook\n", + "* [seaborn](https://seaborn.pydata.org/index.html) is another visualization tool that uses matplotlib underneath, and provides you with easy-to-use APIs for visualization. It also makes your graphs more prettier!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Next, we'll load the dataset for red wines, and display the first 5 columns. Run the below cell block" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
07.40.700.001.90.07611.034.00.99783.510.569.45
17.80.880.002.60.09825.067.00.99683.200.689.85
27.80.760.042.30.09215.054.00.99703.260.659.85
311.20.280.561.90.07517.060.00.99803.160.589.86
47.40.700.001.90.07611.034.00.99783.510.569.45
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "0 7.4 0.70 0.00 1.9 0.076 \n", + "1 7.8 0.88 0.00 2.6 0.098 \n", + "2 7.8 0.76 0.04 2.3 0.092 \n", + "3 11.2 0.28 0.56 1.9 0.075 \n", + "4 7.4 0.70 0.00 1.9 0.076 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "0 11.0 34.0 0.9978 3.51 0.56 \n", + "1 25.0 67.0 0.9968 3.20 0.68 \n", + "2 15.0 54.0 0.9970 3.26 0.65 \n", + "3 17.0 60.0 0.9980 3.16 0.58 \n", + "4 11.0 34.0 0.9978 3.51 0.56 \n", + "\n", + " alcohol quality \n", + "0 9.4 5 \n", + "1 9.8 5 \n", + "2 9.8 5 \n", + "3 9.8 6 \n", + "4 9.4 5 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# TODO: Load the Red Wines dataset\n", + "data = pd.read_csv(\"data/winequality-red.csv\", sep=';')\n", + "# TODO: Display the first five records\n", + "display(data.head(n=5))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Now, let's do some basic preliminary analysis of our data:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### We'll begin by first seeing if our data has any missing information" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "fixed acidity False\n", + "volatile acidity False\n", + "citric acid False\n", + "residual sugar False\n", + "chlorides False\n", + "free sulfur dioxide False\n", + "total sulfur dioxide False\n", + "density False\n", + "pH False\n", + "sulphates False\n", + "alcohol False\n", + "quality False\n", + "dtype: bool" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# TODO: Find if the data has any null information\n", + "data.isnull().any()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Get additional information about the features in the data-set and their data types:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 1599 entries, 0 to 1598\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 fixed acidity 1599 non-null float64\n", + " 1 volatile acidity 1599 non-null float64\n", + " 2 citric acid 1599 non-null float64\n", + " 3 residual sugar 1599 non-null float64\n", + " 4 chlorides 1599 non-null float64\n", + " 5 free sulfur dioxide 1599 non-null float64\n", + " 6 total sulfur dioxide 1599 non-null float64\n", + " 7 density 1599 non-null float64\n", + " 8 pH 1599 non-null float64\n", + " 9 sulphates 1599 non-null float64\n", + " 10 alcohol 1599 non-null float64\n", + " 11 quality 1599 non-null int64 \n", + "dtypes: float64(11), int64(1)\n", + "memory usage: 150.0 KB\n" + ] + } + ], + "source": [ + "#TODO: Get additional information about the data\n", + "data.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### The last column *quality* is a metric of how good a specific wine was rated to be. For our purposes, let's consider all wines with ratings 7 and above to be of very good quality, wines with 5 and 6 to be of average quality, and wines less than 5 to be of insipid quality." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total number of wine data: 1599\n", + "Wines with rating 7 and above: 217\n", + "Wines with rating less than 5: 63\n", + "Wines with rating 5 and 6: 1319\n", + "Percentage of wines with quality 7 and above: 13.57%\n" + ] + } + ], + "source": [ + "# Total number of wines\n", + "n_wines = data.shape[0]\n", + "\n", + "# Number of wines with quality rating above 6\n", + "quality_above_6 = data.loc[(data['quality'] > 6)]\n", + "n_above_6 = quality_above_6.shape[0]\n", + "\n", + "# TODO: Number of wines with quality rating below 5\n", + "quality_below_5 = data.loc[(data['quality'] < 5)]\n", + "n_below_5 = quality_below_5.shape[0]\n", + "\n", + "# TODO: Number of wines with quality rating between 5 to 6\n", + "quality_between_5 = data.loc[(data['quality'] <= 6) & (data['quality'] >= 5)]\n", + "n_between_5 = quality_between_5.shape[0]\n", + "\n", + "# Percentage of wines with quality rating above 6\n", + "greater_percent = n_above_6 / n_wines * 100\n", + "\n", + "# Print the results\n", + "\n", + "print(\"Total number of wine data: {}\".format(n_wines))\n", + "print(\"Wines with rating 7 and above: {}\".format(n_above_6))\n", + "print(\"Wines with rating less than 5: {}\".format(n_below_5))\n", + "print(\"Wines with rating 5 and 6: {}\".format(n_between_5))\n", + "print(\"Percentage of wines with quality 7 and above: {:.2f}%\".format(greater_percent))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run the following cell block to see the distributions on a graph:" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "ename": "ValueError", + "evalue": "The number of FixedLocator locations (5), usually from a call to set_ticks, does not match the number of ticklabels (6).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[14], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# TODO: Visualize skewed continuous features of original data\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[43mvs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdistribution\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mquality\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/ML-supervised-learning/game-of-wines/visuals.py:41\u001b[0m, in \u001b[0;36mdistribution\u001b[0;34m(data, feature_label, transformed)\u001b[0m\n\u001b[1;32m 39\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_ylim((\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1500\u001b[39m))\n\u001b[1;32m 40\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_yticks([\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m200\u001b[39m, \u001b[38;5;241m400\u001b[39m, \u001b[38;5;241m600\u001b[39m, \u001b[38;5;241m800\u001b[39m])\n\u001b[0;32m---> 41\u001b[0m \u001b[43max\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_yticklabels\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m200\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m400\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m600\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m800\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m>1000\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 43\u001b[0m \u001b[38;5;66;03m# Plot aesthetics\u001b[39;00m\n\u001b[1;32m 44\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m transformed:\n", + "File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/matplotlib/axes/_base.py:75\u001b[0m, in \u001b[0;36m_axis_method_wrapper.__set_name__..wrapper\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 74\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m---> 75\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mget_method\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/matplotlib/axis.py:1798\u001b[0m, in \u001b[0;36mAxis._set_ticklabels\u001b[0;34m(self, labels, fontdict, minor, **kwargs)\u001b[0m\n\u001b[1;32m 1796\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m fontdict \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1797\u001b[0m kwargs\u001b[38;5;241m.\u001b[39mupdate(fontdict)\n\u001b[0;32m-> 1798\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_ticklabels\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlabels\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mminor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mminor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/matplotlib/axis.py:1720\u001b[0m, in \u001b[0;36mAxis.set_ticklabels\u001b[0;34m(self, ticklabels, minor, **kwargs)\u001b[0m\n\u001b[1;32m 1716\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(locator, mticker\u001b[38;5;241m.\u001b[39mFixedLocator):\n\u001b[1;32m 1717\u001b[0m \u001b[38;5;66;03m# Passing [] as a list of ticklabels is often used as a way to\u001b[39;00m\n\u001b[1;32m 1718\u001b[0m \u001b[38;5;66;03m# remove all tick labels, so only error for > 0 ticklabels\u001b[39;00m\n\u001b[1;32m 1719\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(locator\u001b[38;5;241m.\u001b[39mlocs) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28mlen\u001b[39m(ticklabels) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(ticklabels) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m-> 1720\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 1721\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThe number of FixedLocator locations\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1722\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(locator\u001b[38;5;241m.\u001b[39mlocs)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m), usually from a call to\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1723\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m set_ticks, does not match\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1724\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m the number of ticklabels (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(ticklabels)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 1725\u001b[0m tickd \u001b[38;5;241m=\u001b[39m {loc: lab \u001b[38;5;28;01mfor\u001b[39;00m loc, lab \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(locator\u001b[38;5;241m.\u001b[39mlocs, ticklabels)}\n\u001b[1;32m 1726\u001b[0m func \u001b[38;5;241m=\u001b[39m functools\u001b[38;5;241m.\u001b[39mpartial(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_format_with_dict, tickd)\n", + "\u001b[0;31mValueError\u001b[0m: The number of FixedLocator locations (5), usually from a call to set_ticks, does not match the number of ticklabels (6)." + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# TODO: Visualize skewed continuous features of original data\n", + "vs.distribution(data, \"quality\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Get useful statistics, such as mean, median and standard deviation of the features:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
count1599.01599.01599.01599.01599.01599.01599.01599.01599.01599.01599.01599.0
mean8.01.00.03.00.016.046.01.03.01.010.06.0
std2.00.00.01.00.010.033.00.00.00.01.01.0
min5.00.00.01.00.01.06.01.03.00.08.03.0
25%7.00.00.02.00.07.022.01.03.01.010.05.0
50%8.01.00.02.00.014.038.01.03.01.010.06.0
75%9.01.00.03.00.021.062.01.03.01.011.06.0
max16.02.01.016.01.072.0289.01.04.02.015.08.0
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar \\\n", + "count 1599.0 1599.0 1599.0 1599.0 \n", + "mean 8.0 1.0 0.0 3.0 \n", + "std 2.0 0.0 0.0 1.0 \n", + "min 5.0 0.0 0.0 1.0 \n", + "25% 7.0 0.0 0.0 2.0 \n", + "50% 8.0 1.0 0.0 2.0 \n", + "75% 9.0 1.0 0.0 3.0 \n", + "max 16.0 2.0 1.0 16.0 \n", + "\n", + " chlorides free sulfur dioxide total sulfur dioxide density pH \\\n", + "count 1599.0 1599.0 1599.0 1599.0 1599.0 \n", + "mean 0.0 16.0 46.0 1.0 3.0 \n", + "std 0.0 10.0 33.0 0.0 0.0 \n", + "min 0.0 1.0 6.0 1.0 3.0 \n", + "25% 0.0 7.0 22.0 1.0 3.0 \n", + "50% 0.0 14.0 38.0 1.0 3.0 \n", + "75% 0.0 21.0 62.0 1.0 3.0 \n", + "max 1.0 72.0 289.0 1.0 4.0 \n", + "\n", + " sulphates alcohol quality \n", + "count 1599.0 1599.0 1599.0 \n", + "mean 1.0 10.0 6.0 \n", + "std 0.0 1.0 1.0 \n", + "min 0.0 8.0 3.0 \n", + "25% 1.0 10.0 5.0 \n", + "50% 1.0 10.0 6.0 \n", + "75% 1.0 11.0 6.0 \n", + "max 2.0 15.0 8.0 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#TODO: Get some additional statistics, like mean, median and standard deviation\n", + "display(np.round(data.describe()))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As we can see, most fines fall under **average quality (between 5 and 6)**. Wines which were rated high are in the lower hundreds, whereas there are very few wines that aren't tasty enough (low ratings).\n", + "\n", + "Next, since our aim is to predict the quality of wines, we’ll now extract the last column and store it separately." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Section 2: Exploring Relationships between features" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#TODO: Draw a scatter-plot of features\n", + "pd.plotting.scatter_matrix(data, alpha = 0.3, figsize = (40,40), diagonal = 'kde');" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAABLUAAARTCAYAAACd2BGnAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzddXQUVxsG8Gfj7k5csZAECO4OwYsUKFCcIsX1Ayo4xaG4t0gonhCCu7tbQggSIbpx2ex+f2yysGwMSEgCz+8czoGZe2fvDLMzd9+59x2BRCKRgIiIiIiIiIiIqAxRKukGEBERERERERERfSoGtYiIiIiIiIiIqMxhUIuIiIiIiIiIiMocBrWIiIiIiIiIiKjMYVCLiIiIiIiIiIjKHAa1iIiIiIiIiIiozGFQi4iIiIiIiIiIyhwGtYiIiIiIiIiIqMxhUIuIiIiIiIiIiMocBrWIiIiIiIiIiL5RoaGhmDFjBjp06ICKFSuibdu2ha67f/9+tGrVCu7u7mjbti2OHDmiUCYzMxOLFi1CvXr14OHhgd69e+PJkydFuQt5YlCLiIiIiIiIiOgb9fz5c5w9exZ2dnZwcnIqdL3AwEBMnjwZzZs3x/r161GrVi2MGTMGFy5ckCs3d+5cbN++Hb/++itWrVoFFRUV/Pzzz4iKiirqXVEgkEgkkmL/FCIiIiIiIiIi+urEYjGUlKRjmiZPnowHDx7A39+/wHqtW7eGq6srli1bJls2YMAAJCYmYvfu3QCAyMhING7cGP/73//Qq1cvAEBSUhKaNm2Krl27Yvz48cWwR+9xpBYRERERERER0TcqJ6D1KV6/fo0XL14oTFVs27Yt7t27h9jYWADAhQsXkJWVBR8fH1kZHR0dNGnSBGfPnv2yhhcCg1pERERERERERCTz4sULAICjo6PccicnJ0gkEtn64OBgmJiYwMDAQKFcSEgIxGJxsbZTpVi3TkREREREREREX6xp06b5rj958mSRfZZQKAQA6OnpyS3X19eXW5+QkABdXV2F+vr6+sjMzERKSgp0dHSKrF0fY1CLSq2hAvuSbkKp1iPoRkk3odTTHN6tpJtQqnltWV/STSjdlFVLugWl3kuJYUk3oVRTVxGUdBNKtYie7Uu6CaXe8NqTS7oJpdrV3kYl3YRSLc60Ykk3odTTT3pb0k0o1VQsXUq6CcWiTP/ObFL4JO9FRSCQ78/kpGX/cPnHZT4sV9wY1CIiIiIiIiIiKuWKciRWQT4ckWViYiJbnpCQAOD9CC49PT3Zsg8lJCRAVVUVWlpaxdpO5tQiIiIiIiIiIiKZnFxaObmzcgQHB0MgEMjWOzk5ISYmBvHx8QrlHBwcPitJ/adgUIuIiIiIiIiIiGRsbGzg6OiIgIAAueX+/v6oUqUKjIykU8Dr1asHJSUlHDlyRFYmOTkZp06dQsOGDYu9nZx+SERERERERETfBeXvMOVlamoqzp49CwB4+/YtkpKSEBgYCACoUaMGjIyMMHXqVBw4cACPHj2S1fv1118xZswY2Nraok6dOjh58iQuXryIDRs2yMqYm5vjxx9/xMKFC6GiogIrKyts2rQJANC3b99i3zcGtYiIiIiIiIiIvlExMTEYNWqU3LKcf2/btg01a9aEWCxGVlaWXJnWrVsjLS0Na9aswcaNG2FnZ4clS5agXr16cuUmT54MLS0tLF26FImJifDw8MDWrVthampavDsGQCD5WinpiT5RmX4rxVfAtx8WjG8/zB/fflgAvv2wQHz7Yf749sP88e2HBePbD/PHtx/mj28/LBjffpi/b/Xth8OV7Eu6CZ/tb/HLkm5CqcORWkRERERERET0XVAW8KHTt4SJ4omIiIiIiIiIqMxhUIuIiIiIiIiIiMocBrWIiIiIiIiIiKjMYU4tIiIiIiIiIvouKDOl1jeFI7WIiIiIiIiIiKjMYVCLiIiIiIiIiIjKHE4/JCIiIiIiIqLvgrKA8w+/JRypRUREREREREREZQ6DWkREREREREREVOYwqEVERERERERERGUOc2oRERERERER0XdBmSm1vikcqUVERERERERERGUOg1pERERERERERFTmMKhFRERERERERERlDnNqEREREREREdF3QVnApFrfEo7UIiIiIiIiIiKiModBLSIiIiIiIiIiKnM4/ZCIiIiIiIiIvgvKnH34TeFILSIiIiIiIiIiKnMY1CIiIiIiIiIiojKHQS0iIiIiIiIiIipzmFOLiIiIiIiIiL4LygIm1fqWcKQWERERERERERGVOd/tSK0tW7Zgy5YtiIyMROPGjTF16lQ0bdoUy5YtQ6tWrYr98wMDAzFq1CicPHkS1tbWxfpZV69eRZ8+fbBnzx64u7vnWW7jxo1YsGABnj59CgB48+aNwjHZsmULHBwc0LBhw2Jtc2mhrqMNn+kjYe1ZETZelaBragz/35fC/4+lJd20YiUSiXDEdxsuHT8MYWwMjC0s0bhtZzRp37XAuk/u3MSV00cR/Pg+4qLeQUtHB3Yu5dG2Rz/YuZTP9bNOH9qDi8cPIyr8DVRU1WBpa4+uA0bAqWLe5+vXpqShAeu+A2DUoCFUdPWQ+voVwnfvROzZ04Wqb1CrDiw6d4W2kzOgrIT0yEhEHtiLqCOHAQBq5ubw3Lozz/rxN67h2bTJRbIvxSUlJRXLN27D0dPnIUxMhIOtDQb07Io2TfO/XkS8i8YW37148jwYT4NDkJiUjFmTx6Bj6+YKZc9cuoqjp8/jyfNghLx6A1FWFh6cDSiuXfpsKSmpWL5+M46eOvv+WPz0I9o0a1xg3Zi4OCxetR5nL11FWlo63JwdMXLQz6hVvapcuczMTKzduh1+R08iMioapsZGaNO8CX7p9xM01NXz3P7l67cwaMwkAMB5/z0wNND/sp0tBiKRCLv/2YQTAX6IjYmGhaUVfDp1RbsuPxZYNyUlGbu2bEBI0DMEP3uKBGE8evQbhF79hyiUXTL7d5wM9FdYbm1rhzXb9xbJvhQHkSgTO7duxlH/Q7Lj075LN3TsWojjk5yM7Zs3IOj5UwQ/ewphfDx6DxiMPgMVj8+Du7dx9LAfgp89xcsXwcjMzMQ/+/xgYWlVHLv1xXidLjxlJQH61XdAO89yMNFRR1h8Kv67/gq7r70u9DY8bAzQr74D3K0NoKaihHcJaQi4F46N517IletYtRw6V7OBjbEWRFlivHiXhG2XXuLi8+ii3q0vlpyahmVb/0Pg+SsQJibD0cYSA7u2h0+j2vnWi4iKwaa9AXgc/BJPQ14hMTkFc8YORqfmive/jIxM/HPoKA6cOI+3EVHQ0lRHRWd7/NKjE7wquhbXrn0RkSgTWzdtwmG/g4iJjoalVTn80LUbuv7Yo1D1U1JSsG713zh1/BgSEhJgZ2+Pn/r2Q/OWir+5RKJM/LdrFw77HcKbN6+hpqoKe0dHjBw1Bu4engCAV6GhOLh/L27duIG3b15DoKQEe3sHdO/ZC02aKfYdvpbklFQs3/gPjp65AGFCIhxsrTGwZ5dC9YM2++7Dk6AXeBoUgsTkZMyaNBqdWjeTK5eUnILt+/xw+cZtvHj1BimpabC2NEfb5o3R+4f2UFdXK87dIyq1vsugVnBwMObOnYvBgwejcePGMDQ0hJmZGXx9fWFvb1/SzStylSpVgq+vL5ycnD6pXm7HZNu2bWjUqNF3E9TSMTZEvcE98ebuY9w9cAz1BhXu5l3W7fh7Ia6cOooOvQfC3rUCHt68Ct+1y5CWmoI23fvmW/dMwH4kJwjRtEM3WNraI0kYj+P7dmLu2MEYPXMJyntWk5UVZ2Vh9cwpCHp0Dy279IRTBXekp6XhVdATpKelFvdufhKX6X9C29UNrzevR9qbNzBu3BTOU6YjWCBAzJlT+da17NYD1n37412AH8J9d0CSJYKGjS0EKqqyMpmxsXg4erhCXcPa9WDVvQfiLl0o8n0qaqOmz8LDJ88xesjPsLcuh8MnzmDin/MhEYvh0zzvYM6rt2E4fPw03JwdUb9mdQScPJtn2ZPnL+Peoyco7+IEVTVVPHoaVBy78sVG/e93PHz8DKOHDoC9rTUOHz+Fib/PgUQsgU+LJnnWy8jIwMBRE5GQlIzJo4bByNAAu/YdwtBxU7F+6Xx4e3nIyk74fQ7OX76Gof1+QuXybrj78BHWbt2B4JCXWDl/Zq7bT0lJxe8LlsDMxBjvomOKfL+LyqpF83D6WAB+GjAULhUq4tbVK1i3fBFSU1LQrU//fOsmCoU46rcfDk6uqFW/EY75H8i3vLq6OmYvWyO3TC2foGBpsPyveTgRGICfB/0Ct4oVcePKZaxashApySno+XP+xychQYjDB/fB0dkVdRo0wpFDB/Ise/vGddy+fg3Orm7Q0tbG3Vs3i3hPihav04U32acCWlexxJrTwXj0VojazsYY16o8tNRUsOVCSIH1W1a2wB+d3HHiYQR+P/AAKRkiWBtqwVRX/rszpJETBjZ0wp4br7Hy5DOoqyijWw0bLO1ZFRN97+D0k3fFtYuf5deZS/Dg+QuM7fcj7MtZwP/MJYyfvxISiRhtG9fNs96r8Ej4n76I8k52aODtgcNnLudZdvryDfA/fRGDurVHLY9KECYmYf1/fugzcRa2L/oNVdw+rb/+Nfw1by6OBhzGoKHDUKFiJVy9cglLF/2FlJQU9O0/oMD6UyaMw5NHD/HLiF9hY2eHY4FH8Nv/pkAikaBFq9aycllZWZg8fhzu3bmNXn1+hnsVD6SmpeLp40dITU2Tlbt25TIuXbiAVm18UKFiJWRliXDy+DFMmzwRA4cMRf9BikH6r2H0jDl48OQZxgz+GXY20n7QhJl/QSyRoG2zRnnWe/U2DIdPnEF5Z0fUr5V3Pyg88h3+2XMQ7Vo0Rp9unaClqYFb9x5i1ZYduHzjNjYsmgUBp9UVCqerfVu+y6BWSIj0Zt2tWzfY2NjIlnt6epZQi4qXjo7OZ+2bmpraN3tMCism9A3GGlYBAGgbG34XQa2w0Be4eMwfHfsMRssuvQAAblWqIjkxAYd3bUXDNp2grauXZ/2ew8ZBz8BQblmlajUxbWB3BOzeJhfUOuW3Bw9uXsGkhavhWL6ybHmVGnWKeK++jL53TehXq46gebMQm/3DKPHeHaibmcNm4FDEnDsDiMW51tVydoF13/54vXkDIvb4ypYn3LktV06SmYnkJ48V6tv0G4istNQCf5CVtHNXruPyjdtYMH0i2mR33GpU9UBY5DssWrMJrZo0gLKycq51q3tUxvlDuwAAD548yzeo9ceEX6GkJO2KzF66qlQGtc5dvorL129hwW9T0Ka5NIBVo6onwiIisWjVOrRq2jDPY7HPPxDPX7zEv2uWwbNyRWldL0/88PMQLF61ATvXrwAA3H3wCCfOXsCEEUPQ98cuAIDa3lWhrKyMZWs34dL1m6jjXU1h+0vWbICerg4a1K6JtVu3F8fuf7HQkGAcP3wQvQcNww89+wAAqnhVR2KCEL7bNqJ1xx+gq5f36DIzC0vsCjgNgUAAYXx8gUEtgZISylcqPaNCC/LyRTAC/Q6i35Bh6PaT9Ph4VK2OhAQhdmzZgLadfoCeft7Hx9zCEvuPnck+PnH5BrV69RuI3gMGAwD+276tVAe1eJ0uPEdTbbT3KofVp4Lw76WXAIBboXHQ11TDgAaO2HfjNRLSRHnWN9VVx9R2FbH/5hvMD3h/PG6+jFMo286rHG6HxmH+4fflrgbHIHB8Q/h4WJWqoNbZa3dw6fYDLJw0HD6NpP2Qmh6VEBYZjb827kTrBrWhrJz7T+Hqlcvjkq80OP7g2Ys8g1oZGZk4fPoSfBrVwei+3WTLvSq5omGvEfA/fbHUBbVeBAfD/+ABDBk2HL36SB9sVq1eHUKhEFs2bkCnH7rke825dOE8rl+9gt9nzZEFsKpV90ZEeDhWLluCps1byO6Je3x34cqli1izcTMqu1eRbaNuvfpy22zWsiV+6NZdLoBTu249xMfH49+tW/BT335QU/u6o5bOXbmOSzduY8H0CfDJHplV06sKwiOjsGjNJrRuXD/fftCFgzsAAA+ePM+zH1TO0gLHdm2ClqaGbFmtqh7Q1NDAwjWbcOv+I1SrUqmI94yo9PvugpSTJ0/G8OHSp2zNmjWDm5sb9u3bhzdv3sDNzQ2BgYEAgPv376NSpUr4999/ZXUzMzPRsWNHdO/eHVlZWQCAiIgIjB8/HjVr1kSVKlXQq1cvPHjwQO4zMzMzMXv2bNSoUQPVqlXD1KlTkZpa8CiUlJQU/Pnnn2jZsiU8PDzQpEkTzJgxA4mJiQplDxw4gI4dO8Ld3R01a9bEoEGD8PbtWwDS6Ydubm64f/++rHxSUhImTpwILy8v1KpVCwsWLJDtU46Pj0mTJk3w9u1bbN++HW5ubrJjN3fuXDRq1AjijzqLFy5cgJubG548eVLgvlLpcfvyeUgkEtRp7iO3vE5zH2Smp+PBjSv51v84oAUAGppasLSxR1xUpNzykwf/g0tlD7mAVmlkWKceslJSEHvujNzyqOOBUDMxgY5bhTzrmrfvBHFmJiIP7f/kz1W3tIKuuwdiz52FOCXlk+t/TSfPXYKWpiZaNJLveHZq3RzvomNw7/HTPOvmBKkK41PKlpST5y5Kj0Vj+RGtndq0lB6LR3lfE0+cuwgHWxtZQAsAVFSU0bZlU9x//ASRUdLpOrfvPwQA1K9dQ65+wzq1AADHz5xX2PbNu/fx36EA/DFpbKk+jlfOn4FEIkHzNu3kljdr0w7p6em4eTXvERAAIBAIvukn1RfPSY9Py7bt5Za39GmP9PR03LhyKd/6n3J8SvN58jFepwuvYXkzKAkE8Lv9Vm6535230FBVRm1nk3zrd6haDlpqKth6seARXaIsCZLS5QNkGVliZIikf0qTE5evQ0tTAy3r15Rb3rlFQ7yLicO9fB6iFPa7IlASQElJAF1tLbnlOlqaUFISQE1VNY+aJefcmdOQSCTwaddBbrlPu/ZIT0/Dlcv5X3POnjkNLS0thWmBPu3aIzoqCo8evP99snvXDnh6VZULaOXGwMAw1+tYxUqVkJaWhoQEYUG7VeROnL8MLU1NtGxYT255x9bN8C46FvceP8uzbmHPHy1NDbmAVg73CtJpqxFRpW9KL9HXUHZ6K0Vk2LBhGDt2LABg5cqV8PX1RaNGjRTKubu745dffsFff/2FFy+kuQFWrFiB0NBQLFiwAMrKyhAKhejZsyeePHmC6dOnY8WKFdDU1ETfvn0RE/N+WsfixYuxc+dODBgwAEuXLkVWVhaWLFlSYFvT0tKQlZWFMWPGYP369Rg1ahSuX78uC8rl2LBhAyZNmoRKlSph5cqVmD17Nuzs7BAbG5vntqdOnYrjx49j/PjxmD9/PoKCguQCeLlZuXIlTE1N0bJlS/j6+sqOXbdu3RAeHo6LFy/Kld+7dy8qV66M8uUV8yhR6RUW+gK6+gbQNzKWW27t4CRb/6lSkpPwKvgZrOwcZMtioyIRExkOa3sn7N+yBuN6tsXQtg3w29BeuHSidOVI0rK3R+rrVwpP+VNDpMdCM59py7qVqyDt9SsY1WsA9w1b4X34ODz/8YV1v0EQqOQ/WNa0RSsIlJQQFXj4i/ehuAWFhMLRzgYqKvJPIV2dpP/nQS9CS6JZJSLoxUs42tvmciwcZevzrBvyUnbMcq0bIq2bKZL+SPz4B1DOv58Fy//YTEtPx4y5i9C7W2dUdHMp/M6UgNAXwdA3MIShsfwPawcnF9n6opSRno6fOrRE+4Y10LdzG6xeMh+JJfCDqLBevgiGgaEhjD4+Ps7S4xNSxMenrOB1uvCcTHUQm5yBmOQMueXPI5Ok68108q1f1dYQ8SkZsDfRxvYhtXB5ejMcHd8Ik30qQFtN/rrnezUUtZ2N0d6rHHQ1VGCso4bRLVyhra6CXddeFe2OfaHnL9/AycYKKh+NpnF1sJWt/1KqKir40ac5Dpw4jxOXbiApOQVvI6MwY9kG6GppoWvrgvMufm0vgoNgYGgIYxP5a46zi6tsfUH17ewdoPLRdymnfnCw9JoVGRGB8LAwODo7Y83fK+DToinq16yOXt1+QID/oUK19daNGzAwNIShoVGhyhclaT/IWuHe7+ZoDwB4HlJ8/aCrt+4CAJztbYvtM4hKs+9u+qGtrS3s7OwAABUqVJAlaU/J5ena0KFDcebMGUycOBGTJk3Chg0bMH36dFn9rVu3IiEhAf/99x+MjaUBgNq1a6N58+bYuHEjJk6ciPj4eOzYsQODBg3CkCHS+d3169fHjz/+iMjISIXP/JCRkRH++OMP2b9FIhGsra3Rs2dPhISEwMHBAYmJiVi5ciW6d++OP//8U1a2WbNmuW0SgPTmcezYMcyaNQtdukinrdStWxfNm+efWLFixYpQU1ODiYmJ3LREIyMjVKtWDXv37kX9+tJRGkKhECdOnMDUqVPz3SaVPkkJQmjlMr1QXUMTKiqqSEpM+ORt7ly1COlpqXL5uOJjogAAl04cgaGJKXr8Mhaa2to4H+iHLYtnI0skQv1W7fPa5FeloquHtIhwheWi7GOhopf3dEw1ExNI9PVh98sIvNm2GamhodDzqgqrbj2gZmqKFwvm5F5RSQkmzVoi9VUokh49LJL9KE7xCQmwtrJUWK6vpytb/72IF37+sYgXJkAvu1xudYVCaV0ne+l96Pb9h3KfdeveA7lyOVas34IssRjDB/T5lF0pEYkJQujm8p3S0NSEiqoqEhPii+yzHJxd4OA8CnaO0qD9gzu3cGD3Dty9eR1L1m2DppZWAVv4+hKE8dDN5RqtqakJVVVVJApLb0CuOPE6XXj6WqpISM1UWJ6WmYUMkRj6WvmPFjLV04CGqjLmdvXA1gshuBf4FBXL6WNIIyc4melg0ObrsrI7r75CmkiMiW3KY3p76bSo+JQMjNt5G/dexxfpfn2p+MQk2FiYKSzX19XOXq84U+JzTBnyE3S1NTFq9lKIxRIAgKWZMTbPmwo7K4si+YyiJBQKoZfLlO+ca44wPv9rToJQCKtyii/F0tPXy14fDwCIipJORT3i7w8zczOMmzgZ2jo6OLR/H2b9/hsyM0Xo0Klznp9z6MA+3Lp5A6PHT8hzml9xik9IhLWl4v+f7P5dTP2gp8Eh2LRrH5rVrw23XB6KUe6Uv+ER3d+j7y6o9SlUVFSwYMECdOrUCf3790fdunXRo8f7nEoXL15EzZo1oa+vD1H2U3MlJSVUr15dNtXv2bNnSEtLUwgYtWzZErdvy+dqyM2BAwewZcsWhIaGygXeXr58CQcHB9y+fRupqamy4FRh3Lt3Tzq144M2qaiooGnTpvjnn38KvZ0PdevWDdOnT0d8fDwMDAzg5+cHJSUltG3b9rO2R19HVpb8lAAlJWknIL+pKZ96Czi4bR2unj6GH38ZI/f2Q0l2R06UkYFf/1gEY3NpR6CiVw3MHjUA/js2l5qgFgBAIslnXT71BAIoa2sjaO5M2Ru4Eu/dgbK6Biw6d8Hbf7YgPTxMoZp+dW+omZri1fo1CutKq/zOjW95Olhu8v8O5X8s8j1W2evq1/KGrbUVlqzeAGMjQ1Qu74Z7Dx9j2bpNUFZWgkDp/TbuP3qCf//bhzUL5+b7VsSSkCX66BqU80OkEMegKHTs3kvu317eteDo4oa50yfhqN9+hfVfW0kfnzKH12kFH/9wy8o+RpJ8jlV+hxGQnmIaqspYeeIZtl58CUCak0uUJca4VuVRw8EI10KkswXaeVphXCs3/HftNS4FRUNVWQltqlhi4Y9emLj7Dq4El64XVuT/1Sqa79aaXQeweW8Ahvf6AdUruyEpJRXbDx3DgKnzsGH2ZFR0ti+Sz/kcoo+uOTnBoXzvaYU4LPmWyV4pyR5lmZGRjoXLVsAy+y2rNWrWQv/evbB5w7o8g1qXL17Aovnz0LhpM3TtXnL5b/M/R4r+2vw2PBLDpvwJCzMT/DHh1yLfPlFZwaBWARwdHVG5cmXcuHEDP/30k9y6uLg43LlzB5UqKSbks7WVDv+MipKORskZyZXj43/n5vjx45g0aRK6d++OMWPGwMDAAFFRURg+fDjS09MBAPHx8QCkbyosrKioKKiqqkL/o6SOhWlTXlq1aoXZs2fj0KFD6NOnD/bs2YOWLVtCV1dxxAGVDtGR4ZjaTz4YOm7eCujo6ePNi+cK5dPTUiESZeabJP5jfts34fCurejYdzCatJP/LO3sp+YWNnaygBYg7RBUqloDR3b/g4T4uFxzdH1tosQEqOTylFIl+1iI8hm9JkpMgJqRMYQ3r8stj79xDRadu0Db2SXXH0umLdtAnJmJ6BPHvrD1X4eBnh7iExSfYguzl+l/R9cCA329XEdjyY5FLiOxPqz78Sir3OqqqqpizcI5mDJzPgaPmQwA0NTUwKjB/bF263aYfzBNZPrcRWjWoB4qlXdFQqJ0elFGhnTaUVJyCtTUVKFdAiOSIsPDMKCbfOB6zvI10NXTx4vnirlH0lJTIcrMhK5u3gmJi0LtBo2hoamJp48eFFy4GEWEh6F3Z/m8Ygv/Xgs9fYNcj09qaioyMzNzHeX2PeB1WpGlvgYOjW4gt2zIlusQpmTC1SKX0ZCqylBTUcp1FNeHhCmZgDFw+aOA1KXn0RjXCnCz1MO1kFjoaqhgYpsKOHjrLZYdf3/OXgqKxpq+1THZpyI6LlfM/1dSDHR1EJ+QpLBcmJgMANDXyX9aZmEEv3qLFf/sxfj+PdC/y/vcpfWre6DtkImYv/5fbJ0/7Ys/53OEh4Xhh/by+VRXrlkPfX19PH+mmBcz55qTX5J4ANDT1891NFdC9r0uZxSYnr4BAMDO3l4W0AKk/cKatWtj2+ZNiI2NhZGR/NTCK5cvYcrE8fCuWQu/z5pTYg/RDPR0P/ve/znCIt6h35ipUFFWwsZFs2FQxNsnKksY1CrA7t27cfv2bbi5uWHu3LmoWbMmNDSkCfr09fVRv359jBo1SqFezhs3TE1NAQAxMTEwNzeXrf8w51ZeAgMDUaFCBblphdeuXZMrY2BgAAB49+4dLCwKN2TZ1NQUmZmZEAqFcoGtwrQpLxoaGmjXrh327t0Lb29vPH78mFMPSzkDIxNMXbpBbpmFtS3K2Tvi+tkTEMbGyOXVevtSmvPAys6xUNv3274Jfts3ol2vAXLTDnOYWpaDmrpiskvg/RPk0jK6JyUkBMaNmgBKSnL5WjTtpcO8U1++zLNuasgLqBkpBoxzdi23p+Uq+gYwqFEL8VcuQZQ9LL+0c3G0R8DJsxCJsuTySTzLzh/l7GhXQi37+lwcHRBw4nQux0Ka58o5O79G7nXtZeU+9Dw7R5bLB3Vtrcth+9rliIyKhjAhETblLJGUlIx5y1ahmuf7t/kFhbxEUMhLHD19TmG7rbv3gZuzI/ZuWfupu/nFjExMsWT9Nrll5WztYO/ojHMnjyEuJlour9bLF9K8LTlTBYuTRCIp8euPsYkpVm6SHz1tY2sHB0dnnDl+FLEx0XJ5tUKy89o4fIXjUxrxOq0oKjEdfdbJv9wlNCYZQe+S0NLdEsbaanJ5tZyzc2kFv1MM7Hwo6F0iqtgYKCz/+HjZGWtDQ1UZj8IUf+g/DktANXsjaKoqIzUzS2F9SXC1t8Hhs5chysqSy6v1LOQ1AMDFXnEK3ad68uIVJBIJKrvK96VUVVRQ3sEW1++X3MuVTExNsXGbfH5dWzt7ODm74MSxo4iJjpbLqxUcJH0A6ujknO92nZxdcOJoIEQikVxerZz6Tk7Sa1Y5a2vZb6yP5ZxTSkry1+Urly9h8vix8KpaDXMWLIRqCSbal/aDzuXZD3JxKLp+UFjEO/w8egokEgm2LJ0HC7P8X+5A9K377hLFf4rXr19j7ty5GDhwINauXYvo6GgsXLhQtr5OnToIDg6Gk5MT3N3d5f64ubkBAFxdXaGhoYHjx4/Lbfvo0aMFfn5aWprCxdnPz0/u315eXtDU1MTevXsLvV/u7u4QCARybRKJRDh58mSBdVVVVWWjxD7WrVs3PHnyRJao3tvbu9Btoq9PRVUV9q4V5P5oaGnDs1Z9CAQCXD55RK78peMBUFVXR+XqtQrctv+OzfDbvhE+P/ZFu179cy2jrKwCz1r1Ef76JaIj3+dBkUgkeHjzKkwty0E3+6ldSYu7dAHKWlowqif/xNukWQtkREcj6aniK95zxF6QBhIMqsu/pU7fuyYkWVlIzuXpp0mzFlBSVUXU0SMK60qrpvVrIyU1FcfPXZBbfijwBMxMjFGlglsJtezra9qgrvRYnJUfgXDoyHHpsaiY98szmjaoh5DQ17j38P05JRJlwf/YSVSpWB5mJoodV3NTE7g6OUBTQwObd/4HTU0NdG7bWrZ+0/KFCn86tJZOP18+9w/8MXnsl+7yZ1FVVYVL+Ypyf7S0tFGzfkMIBAKcDPSXK3/iiB/U1dVRrWbtYm3XxTMnkZ6WBrdK7gUXLkaqqqpwq1BR7o+WtjbqNJAen2MB8sfn2GHp8aleq04Jtbhk8TqtSCSW4HF4gtyflIwsnHv6DmKJBD6eVnLl23paIS0zC5eD8n+D2qlH0txHdT56S2IdF+m/77+RjsqJSpT2FytbK47kqWytD2FqZqkJaAFAszrVkZKahmMX5B8gHzx5DmbGhqjiln/wpjDMjA0AAHefyCdXz8jIxKPgl7Aw+foJznOoqqqiQsVKcn+0tbVRv2EjCAQCBPjL/wYJ8DsEdXUN1Kqd/zWnYaPGSElJwZlT8r8zjhz2g4mpKSpWll5rVVRUUL9hI7wMCUF42PuRkRKJBFcuXUI5axsYfDB6/+qVy5g8fiw8PDwxb+Fi2YCCktJM1g+Sf3HWwaOnYGZihCrZbyj8UmGR0oBWlliMTUvmwCqXPHBUMGVB2f1DijhSKw9isRiTJk2Cra0tRowYATU1NUybNg2TJ09GkyZNUKdOHfz888/w8/PDTz/9hD59+sDKygqxsbG4e/cuzM3N8fPPP8PAwAA//vgj1q9fDw0NDVSsWBH+/v4IC1Mcxv6xOnXq4M8//8TKlStRtWpVnDt3Dpcvy7/KXFdXF8OHD8fChQshFovRrFkziMViXL16FT4+PnB3V+yUOzs7o1mzZpgzZw7S09NhbW2N7du3Iyur4I6Fo6Mjrly5gosXL0JPTw/W1tYwNJTeYMqXLw93d3dcv34dY8eOLfGn3EWlUqtGUNfWhLqu9AmmZUVnVP1B+oPxfsBpZKamlWTzipyVnSPqtmiLQ/9uhJKSEuxcK+DRrWs4H3gIHfoMkpt+6L9jE/x3bMGYucvg5u4FADi2bycO/bsBlarVgnuNOnjxRH4Kj2P5yrK/t+8zEA9uXsGy6WPRrtcAaGpp4cJRP7wJCcLgKTO/zg4XgvDGNQhv3oD9yNFQ1tJGWthbGDdqAgPvmgieP1s2KsBhzHiYNGuJu/1+QsY76Ysgoo8FwqxNO9iNGA0VfX2kvgqFnmc1mLfriHf+h2TlPmTasjXS30UqTIUpzerX8kbt6l6YufhvJCenwracJQJOnsWFazcxb9r7pK3T5y/FoaMncGTHRlhZvB+9euyMNBj2Jkwa4Hz49Dm0NDUBAC0avX89dlhEJB48kT7dff02XK6ulYUZKpcvmk7jl6hfuwZqe1fFzIXLkZycAltrKwQcP40LV69j3ozJ74/F3EU4FHgMR3y3yY5FZ5+W2LXvEMZOn4kxQwfCyNAAu/YfwstXr7F+6Xy5z9m03RfGRkawNDdDTFwcjp46i1PnL2HutEkwN33/Y7NGVQ+FNl6/LX1Tkpd7JRgaFO90vk9l5+CE5j4dsH3TOigpKcOlfEXcvn4FRw/tR++Bv0D3gylmOzevx86tGzB7ySq4e1WTLb9x5SLSUlORmp2L8vXLEFw4fQIAUL12PWhoaOBdRDj++uN/aNC0BSytbSAQCHD/9i0c+m8nbB0c0bJtx6+634Vl7+iEVu06YNuGtVBWUoJrhUq4ee0KAg7uw8+Dh8lNBfpn4zr8u3kDFixfDY+q74/PtcvS45OTqzM05AXOnZIenxp16kJDQ/rdi4+Lw73bNwG8Hwl2/fJF6BsYQt/AUG6bJY3X6cJ7EZWMQ7ffYnAjJ4jFEjwKS0BNJ2N0qmaN1aeCkJD2Pq/SwAaOGNDQEcO33cSt0DgAwNUXMTj39B0GNnSEkgB48EaIClZ6GNjQCeefRuFudgL4yIQ0nHoUiU5VrZEpEuPi82ioqSjBx8MKnraGWH1KMdVBSWrg7Yk6XpXx58rNSEpJhZ2VOQ6fuYzzN+5hwYRhUFaWjgX435J1OHjiPI5uWoxy5qay+kfPXwUAvI6QBv0ePA+BVvbIo5b1awIAqlVyg7urI/7evhdp6emoXrk8ElNSsf3QUbyJiML8Cb98zV0uFEcnJ7Tt0BEb162BsrIyKlSsiKtXruDg/n0Y/MtwuWvOpvVrsXnDeixftQZe1aoDAGrXrQfvmrXw17w5SE5OhrWNDY4fDcSVS5fw28zZckndB/0yDFcuXcSYkcMxYPAQaGtrw+/gAQQ9f4aZc9/fA+/euY3J48bC2NgYffoPUJge6eDgCO0imC76KerXrI461b3w55JVSEpJgW05K1k/aP7/xr2/9y9YhoOBJxG4Y4NcQOpoTj8oPAJATj8o+/zJ7gfFxMWj/5ipiIqJxcyJvyI2Lh6xcfGybZibmnDUFn2XGNTKw4YNG3Dv3j3s2bNHFvnv2LEjTp06hSlTpsDPzw+Ghobw9fXF0qVLsXDhQsTHx8PY2BgeHh5ySdjHjRuHrKwsbNiwAWKxGM2bN8fo0aMxZcqUfNvw448/4s2bN9i+fTs2bdqEevXqYdGiRejWrZtcuUGDBsHIyAhbtmzB/v37oa2tDS8vr3xzZM2ZMwd//vknFi5cCDU1NXTq1AnVq1fHokWL8m3T2LFj8fvvv2PkyJFITk7G3Llz0bnz+6SNzZs3x6NHj9CxY8d8t1OW9Fw9C8YfDDmv1q0tqnWTJsD/n309xIR++SueS5uew8fDwNgUpw7tQUJcLIzNLdB9yCg0ad9VrpxYLIFYnCWXVfbeVekTqoc3r+DhTflpDwCwLuD9EywzS2tMWLAK+zavxr/L5yMrSwQbRxcMnzEfVWrWLaa9+zzPZ86A9c8DUK7Pz1DR0UXam9dySYUBAEpKECgry+UClWRl4cmUCbDpNwCW3XtBRVcX6ZEReL1pPSL2/afwOToVKkHT1g5v/91acLbeUmbZzGlYtmErVm76B8LERDjY2mDBjElo07ShrIxYLEZWllhh18b+Jv92sZ37/bFzv3QkyoOzAbLl127fw7R5S3Kt26FVM8yeUjKjjj62bPbvWLZuE1Zu3AphQvax+H0q2jR7/7p2sTgr+1i8PxhqamrYsGwBFq9ajzlLVyItLR3lXZyweuEceHvJB6fSMzKwZsu/iIyKgoaaOqpUqoDNKxaimkfJjjAqCsPGTYaxqSn89voiLjYG5haWGPzrOLTr8qNcObFEDHFWFiQfZQFftWge3n3wJrwLp0/Iglobdx+ChqUVtLS1YWBkjAO7dyA+NgZZYjHMzC3Rrkt3dOvdHxrZQdXS6NcJk2FiaoYDe3wRFxMDc0srDBszHh27yh8fiUQCcVYWPs6SvnzBXER+cHzOnTohC2r9s88PFpbSfQ8NCcbM/02Sr/vXPABAFa9qWLRqXVHv2hfhdbrw5h1+jHcJ6ehWwxbGOuoIj0/FosAn2H3ttVw5gUAAFSXFiR1T99zDoIZO6FTNGoMaOiEqMR07r4Ri/dlguXLT991Htxo2aF3FCu28ykGUJcarmBRM33cPgfcjinUfP8fy6WOwbOturPhnL4SJSXC0scLCSSPg0+j9CFGxWIysD6a45hg9Z7ncv3f4HccOP+msiMdHtgOQvlBq45wp2LjHH0fPX8XmvQHQ0lSHk205rP1zAhp4exbfzn2BCZOnwNTUDP/57kRsTAwsLa0wetwEdP1RPim7WCxBVlaWwtdi7l+LsHbVSmxYsxoJCULY2dvjj9lz0bxlK7ly1tY2WLV+E1avXI75c2ZBJBLBxdUVCxYvRd3670dhXr96FenpaQgPC8PIoYMV2rtyzXpUrV696A5AIS39cyqWb9yGlZu2Z/eDrPHX9Aly/aCsLOn58/G05rG/z5P7984Dh7HzwGEAwMMz0v5Q8MtXeB0m/d5Mmq34m21Y3x4Y3q9kX3BCVBIEkvxef0L0iXr16gVdXV2sWfPlbwIaKrD/8gZ9w3oE3SjpJpR6msO7FVzoO+a1ZX1JN6F0Uy653BxlxUtJyb/IoTRTV/k2RiwXl4iepegNt6XU8NqTS7oJpdrV3iU3Xa8siDOtWNJNKPX0k96WdBNKNRVLl5JuQrH4S6fkR/Z/rglJii+L+d5xpBYVifv37+PmzZu4ceMGNm/eXNLNISIiIiIiIqJvHINaVCS6dOkCXV1dDBs2DHXqfJ9JaomIiIiIiIjo62FQi4rE06eKbwYiIiIiIiIiIiouDGoRERERERER0XdBmSkvvymKrzMhIiIiIiIiIiIq5RjUIiIiIiIiIiKiMofTD4mIiIiIiIjou6As4PzDbwlHahERERERERERUZnDoBYREREREREREZU5DGoREREREREREVGZw5xaRERERERERPRdUGZKrW8KR2oREREREREREVGZw6AWERERERERERGVOQxqERERERERERFRmcOcWkRERERERET0XVAWMKnWt4QjtYiIiIiIiIiIqMxhUIuIiIiIiIiIiMocTj8kIiIiIiIiou+CMmcfflM4UouIiIiIiIiIiMocBrWIiIiIiIiIiKjMYVCLiIiIiIiIiIjKHObUIiIiIiIiIqLvAnNqfVs4UouIiIiIiIiIiMocBrWIiIiIiIiIiKjMYVCLiIiIiIiIiIjKHObUIiIiIiIiIqLvgrKASbW+JRypRUREREREREREZQ6DWkREREREREREVOZw+iERERERERERfReUOfvwm8KRWkREREREREREVOYwqEVERERERERERGUOg1pERERERERERFTmMKcWEREREREREX0XlAVMqvUtYVCLSq0eQTdKugml2k7n6iXdhFIvbvPukm5CqbZV36qkm1CqKaUnlnQTSr1y6qol3YRSTSU1tqSbUKqZ7z1Y0k0o9S4HXS7pJpRqZ8R2Jd2EUs0kMbOkm1Dq7X7F+1h+frEs6RYQFYzTD4mIiIiIiIiIqMzhSC0iIiIiIiIi+i4oc/bhN4UjtYiIiIiIiIiIqMxhUIuIiIiIiIiIiMocBrWIiIiIiIiIiKjMYU4tIiIiIiIiIvouKAuYVOtbwpFaRERERERERERU5jCoRUREREREREREZQ6DWkREREREREREVOYwpxYRERERERERfReUmVLrm8KRWkREREREREREVOYwqEVERERERERERGUOpx8SERERERER0XdBWcD5h98SjtQiIiIiIiIiIqIyh0EtIiIiIiIiIiIqcxjUIiIiIiIiIiKiMoc5tYiIiIiIiIjou6DEnFrfFI7UIiIiIiIiIiKiModBLSIiIiIiIiIiKnM4/ZCIiIiIiIiIvgsCZU4//JZwpBYREREREREREZU5DGoREREREREREVGZw6AWERERERERERGVOcypRURERERERETfBSXm1PqmcKQWERERERERERGVOQxqERERERERERFRmcOgFhERERERERERlTnMqUVERERERERE3wWBMsf2fEv4v0lERERERERERGUOg1pERERERERERFTmfHfTD9+8eYOmTZti2bJlaNWqVaHrXb16Fbdv38bQoUPllu/btw9TpkzB5cuXYWRkBABwc3PDxIkTMWDAgCJt++fKrY25+fPPP3HmzBmcOnUKgHSf+/Tpgz179sDd3R0AsGLFCtStWxdVq1b9Km0vDiKRCEd8t+HS8cMQxsbA2MISjdt2RpP2XQus++TOTVw5fRTBj+8jLuodtHR0YOdSHm179IOdS/lcP+v0oT24ePwwosLfQEVVDZa29ug6YAScKroXx+59Veo62vCZPhLWnhVh41UJuqbG8P99Kfz/WFrSTStWygIBOlWxREMXUxhqquJdUjqOPX6HwCeRBdataKGL31pVyHXdtMMP8TwqWfbvX+o5oJGzqUK5t8JUjN1///N34BOkpKRg5cqVOHb8OIRCIRzs7dGvf3+0LsT1MyY2FkuXLMG58+eRlpYGV1dXjBg+HDVr1lQoe+XKFfy9ahWePXsGDQ0NNKhfH6PHjIHxR9eslStX4snTp3jy5AmioqLQvl07zJw5M9fPP3z4MLZu24aQkBBoaWmhdq1aGD16NCwsLD7vYHyClJQUrFizAUdPnoIwIREOdrYY0KcXWrdoVmDdmNg4LF65CucuXJYeNxdnjBw6ELW8qyt+TmoqNm3bjsDjJxEWEQktTU24OjvhtykTYGdrIyu3fM16PH32HE+ePce7qGi092mF2TP+V6T7/LkyMzOxaeNGHDx4ENHRUShXrhy6de+OHj16Fqp+SkoK/l65EseOH0OCUAh7ewf0698PrVq1lit3+/YtHDp0CE+fPEFQUBAyMzNx+HAArMqVU9jm9n//xa1bN/HkyROEhYWhWrXq2LBxY5Hsb2GkpKRixdqNOHrqDIQJCdLzp3dPtG7epMC6MbFxWPz3Wpy7eBlpaelwdXHCyMH9Ucu7mqzM2/AItOrcI89t1K3pjTVLF8gtex4cgtUbt+LG7TtISk6BqbER6tepiWkTxnz+jn6BlJQUrPh7tfTalJAAB3t79O/XF61btiywbkxsLJYsW/7+2uTiihHDfkGtmjVkZZKSkrBjly+uXL2KkJehSElJQblyVmjbpjV69egBdXV1WdlHjx5j/8FDuHn7FsLCwqGhoQEXZ2cM7N8PNWt4F8v+f47ktHQs3+WPo5dvQZiUAgcrcwzs2Bxt6lbLt97xq3dw9PJtPAh+hXexQhgb6MLLzRHDu7aGnaWZXNllO/1w7vYjhEXFIi0jA2aG+qjl7oYhnVvCyjTvPmhpkyUS4cjubbh8PAAJ2X3Fhj6d0bh9lwLrPrl7E9dOH8WLxw8QF/UOmjo6sHMujzY9fs61r5glEuG03x5cPh7wvq9oY4/OA4aXub6iSCTC/u2bcfqIP+Jio2FmYYVWHbugdefuBda9f+s6zh8PxNOH9xATFQktHV04uVZAlz4D4OSWe7+pNMsSiXDdbxceXjiGlPhY6Jmaw6Npe3g271Bg3Xehwbi0dwtiXocgJVEIFTU1GFrYwKNpO1So21SurEQiwZ3jB3HvlB8SoiKhrq0Lp6q1UbdrP2ho6xbX7pV5AmVBSTeBitB3F9T6XNeuXcOmTZsUglqNGjWCr68v9PT0SqhlBfvcNlaqVAm+vr5wcnKSLVu5ciW0tLTKdFBrx98LceXUUXToPRD2rhXw8OZV+K5dhrTUFLTp3jffumcC9iM5QYimHbrB0tYeScJ4HN+3E3PHDsbomUtQ3vN9x1CclYXVM6cg6NE9tOzSE04V3JGeloZXQU+QnpZa3Lv5VegYG6Le4J54c/cx7h44hnqD8v6R9C0ZUNsO9Z1MsPvWGwTHJMPDSh99a9pCQ1UJB+6HF2obO2++xsOIBLllr+IUz4t0URZmHn0ityxDJP78xn+iMWPH4uHDhxg1ahTs7OxwJCAAkydPhkQsRps2bfKsl5GRgcGDByMxMRETJ0yAkZERfH19MWz4cKxdswbVq78P0Ny4cQPDR4xA/Xr1sHTJEsTGxmLpsmUYPHgwdu7YATU1NVnZf/79F66urmjUqBEOHDiQ5+fv2LkT8+fPR+dOnTBq1ChERkZi1apV6Nev31e5Zo+eNA0PHj/G6GFDYW9rg4BjxzFx+h8QSyTwadk8z3oZGRkYOGI0EhOTMGnsrzAyNMSuPfvwy6jxWLdyCbyresnKpqSkoP+wUYiKjkb/Pr3g6uyEpKRk3Ln/AGlp6XLb/Xfnbrg4O6FR/brY7xdQbPv9OebOmYPDh/0xbNhwVKpUCZcuX8JfCxYgJTkFAwYOLLD+uLFj8PDhQ/wqO0ePYMrkyZCIJWj9wTl67eo1XL1yFeXLu0FbWxs3btzIc5t79vwHTU1NeNeogXNnzxbJfn6K0VNm4MHjJxj9y6Ds8+ckJs6YCbFYDJ+WeQdGMzIyMHDkOCQmJWHSmBHS82fvAfwyZhLWLV8I76qeAABTYyP8u/5vhfqnzl3Apn92oknDenLLr928jeHjpqCqpzumTxwDA319RES+w+Nnz4t0vz/FmPET8ODhI4weOQJ2dnYICAzEpCn/g1gsgU/rvIPuGRkZGDT0F+l3bPx4GBkZYtfu/zBs5EisW70K1atJ7+PhERHYvmMn2vq0Qe+fekFLUwu3bt/G6rXrcfnKNaxb/TcEAumPooCjR/Hg4UN0at8erq6uSE1NxX9792LQ0F8w68/f0b5t269xSAo0euEGPAgOxZie7WFnaYbDF25gwrItEEskaFtPMWieY+PBEzAx0MOQzi1hbW6MiOh4rNt/DF0mLcDO2ePgbGMpK5uQnIo2davBsZw5tDU1EPwmHGv3HcXpG/dxaPH/YKCr/TV29YvtXLUIV08dRbveA2HvUh6Pbl3Df+ukfcXW3fvkW/f84f1ISkxA4/ZdZX3FE/t3YcG4IRg5czHKe8j3FdfMmorgR/fQ/IeecKpQObuv+BQZ6WnFvZtFbsPS+Th37Ai69x8C5/IVcef6FWxeuRipKSno/FO/fOseO7QXiQlCtPmhO6ztHJEgjIPf7u343/D++N+C5XCvWnoCxIVxetsKPL50ErU794W5gytC79/Eme2rkZGWghrt8u8vp6ckQdfIBG41G0HHyBiZ6Wl4cuk0jq5bgIToSNTs8P6hz/ld63D76AFUbf0DbCt5ITbsFS7v24bIkGfoPn0plFX4c5++fTzLv5CRkVG+o59Kg89to46ODjw9PYu+QSUoLPQFLh7zR8c+g9GySy8AgFuVqkhOTMDhXVvRsE0naOvm/WO357Bx0DMwlFtWqVpNTBvYHQG7t8kFtU757cGDm1cwaeFqOJavLFtepUadIt6rkhMT+gZjDasAALSNDb+LoJa1gSYau5jC99Yb+D2MAAA8ikiEjroKOntY4fjTd0jOyCpwO+EJaXKjsvIikaBQ5YrD+fPnceXKFcybOxetW0tHvdTw9kZYeDgWL1mCli1bQllZOde6+/fvR1BQELZt3QoPDw8AgLe3N7p264YlS5di+7//ysouXrIEtra2WLhwIVSyO1/lypVD359/xoEDB9CtWzdZ2cuXLkFJSTpz3t/fP9fPzsjIwKq//0bDhg3x22+/yZY7OTqiT9++2Lp1K0aOHPkFRyZ/5y5exuVr1zH/z9/QJjsAUaN6VYSFR2LxilVo1axJnsdt36HDCAp+gX82rIanu/S6UaOaF7r81A9LVq7Gjk3rZGVXrNmAFy9DsXf7FtiUs5Itb9ygnsJ2r5w+KjtufkeOFdm+fqngoCAcOLAfw0eMRN+ffwYAVPf2hjBeiA0b1qNL167Q19fPs37OOTpn7jzZOertXQPh4WFYsmQxWnxwjg4aPBhDsh9Mbdu6Nd+g1t59+2XHq8sPnYtiVwvt3KUruHztBub/MQ1tWkifyNeo5oWwiEgsXrkWrZo1zvv88QtA0IsQ/LNuJTzdK0nrVvVClz4DsOTvtdixcTUAQE1NDR6VKyrUX7Z6PTQ1NGSfCwCpaWmY/Pts1KjmhZUL58gCOQDQrnWLItvvT3H+wgVcvnIV8+bMQpvsUaM1vKsjPDwcS5YuQ6sWzfM+RgcOIigoGP9s3gQPD+n9y7t6dXT9sScWL1uOHdu2ApBeg44c9oOWpqasbs0a3tDU1MTipctw+85dVPXyBAD069sH48eMlvuc+vXqonvPn7B23YZSEdQ6d+shLt17ggW/9oVPdgCrZmVXhEfHYdE/B9C6TlUoK+WeleTvSUNgrC8/4qNmZVc0H/4bth0+jT+Hvv+BPX1gN7lyNSq5wNrMGEPnrsGp6/fQuUntIt6zohcW+gKXjvmjfZ/BaPGDdN9cq1RFcoIQR3y3okGbjvn2Fbvn0lesWK0mfhv4IwJ9t8kFtU777cXDm1cw/q9Vcn1F9zLYV3wdEoxTAYfQY8Av6PBjbwBAJc9qSBQKsfffTWjevjN09fK+ng8cNRH6hvK/Vzxr1MbIXp2xf/uWMhXUinnzEg/OHUWdH35G9TbSmSA2FTyQlpSAa4d2okpjH2jo5H0O2VTwgE0FD7lljp61kBAdgQdnAmRBraTYaNw+dgAezdqhfnfpQyC7ytWgqWuAwDXz8OjCMbg3yvsBJH1/QkJCMGvWLNy8eROamprw8fHB+PHjoaGhkWednJluuVFVVcWDBw9k/3Zzc1MoY2JigosXL3554/NRJnJq7du3DxUrVkR0dLTc8vj4eFSuXBnbt2+XLTtx4gQ6duwId3d31K1bF3/88QeSk/P/QXjgwAH06NEDNWrUgLe3N3r37o179+7J1q9YsQIrV65ESkoK3Nzc4Obmht69e8va5ubmhtjY2Hw/48yZM+jatSuqVKmCWrVq4bfffkNKSkq+dd69e4cpU6agadOmqFKlClq0aIHFixcjIyNDrpxYLMbmzZvRunVrVK5cGXXr1sWvv/6KxMTEPNsYGRmJoUOHwsPDA/Xr18eGDRsUPv/q1atwc3PD/fvSaU45J+mCBQtkx+Hq1asYMWIEevRQDGb4+vqicuXKBR6br+n25fOQSCSo09xHbnmd5j7ITE/HgxtX8q3/cScFADQ0tWBpY4+4KPmpZycP/geXyh5ynRQq+7xtDaAkEOB0kPz16ExQNNRVlOFZzqBkGlYMTp06BS0tLTRvLj+yqGOHDoiKipJdG/Kqa29vLwtoAYCKigra+vjgwYMHiIyUfl8iIyPx8OFDtG3bVhbQAgBPT0/Y2dnhZPZ06BxKefzo+lBQUBASk5JQr558cMfDwwP6+vo4cfJkgdv4EqfOnoOWliZaNG0kt7xj2zZ4FxWN+w8f5Vn35NlzsLezlQW0gOzj1qoF7j98jMh3UQCkgYa9h/zRokkjuYBWXgpz3ErC6dOnIZFI0KGD/HSM9h06IC0tDZcK6ASdzuMcbd+ho8I5+inHoCSP16mzF6TnT5NGcss7+rTCu+ho3H/4OM+6J89egL2tjSygBQAqKspo27I57j96Ijt/cvP6zVvcuH0XLZo2go72+9E0x06eQVR0DH7u1V0uoFWSTp4+Ay0tLbRoJj9qrUP7dngXFYX7H3SwP3bq9GnY29vJAlqA9Dvm06Y1Hjx4iMh37wAAWpqacgGtHJUrSY9tRGSEbNnH06QBQFlZGRUrlEdEZMHT0r+GE9fuQktDHS1re8kt79ioJt7FCXHv+cs8634c0AIAMyN9WBgbIDwmrsDPNtST1lcuI28bu5vdV6zdTD4YUDu7r/jw5uf1FS1s7REX/U5u+elD/8Gl0rfRV7x28SwkEgkatZYP4jZu3RYZ6em4c+1yvvU/DmgBgKamFqztHRAdVTq+R4UVfOsSIJGgUn35wH/FBi0gykjHy/t5P1TJj6aOHgQfBOzDgx9DIhbDvop8wM/RU5rmIejGhc/6HPo2JSQkoG/fvkhOTsby5csxadIk+Pn5Ydq0afnWMzMzg6+vr9yfXbt2QVdXFw0bNlQo37t3b7my69aty2WrRatMjNRq0aIFfv/9dwQGBuKnn36SLT927BgkEons6ezJkycxYsQItGrVCmPGjMGbN2+waNEihISEYMuWLXlu/82bN+jYsSNsbW2RkZEBf39/9OrVC4cOHYKDgwO6du2KiIgI+Pv7Y+tW6RM8HR2dQrc/MDAQY8aMQefOnTFy5EhERUVh0aJFSEhIwJIlS/KsFxcXBwMDA0yZMgV6enp4+fIlVqxYgaioKMydO1dWbubMmfD19UXfvn1Rt25dJCcn48yZM0hJSYGubu5zqYcNG4bIyEj8/vvv0NXVxbp16xARESH3o/Jjvr6+6N69O3r37o222U8dnZ2d0a1bNwwaNAgvXryAo6OjrPzevXvRpEmTUjWSLSz0BXT1DaBvZCy33NrBSbb+U6UkJ+FV8DOU93g/JTM2KhIxkeHwqFkX+7eswYVj/khOSIC5tQ1adumFOs341KSssjHQgjA1E8LUTLnlr+KkQWobQ00gpODt9K9lj1ENnZEuEuN5VBL23n2Lp++SFMqpKSthbXdP6KmrIi41E9dfxWH37TeFGg32pYKCg+Hg4KBwXXBxcZGuDwrKczRnUHAwqnp5KSzPqRscHAxzc3MEBQcDAFyzl3/I1cUFd+7e/eR2Z2ZK/2/UVFUV1qmpqeHVq1dIT0+Xy4lTlJ4Hh8DR3l7huLm6OMnWe1bJPU9KUPALVPX0UFju6iytG/wiBOZmpnj0+ClSU1NhZ2uNmfMX4sjxk0hNTYOrsxOGD+qPBvXKxlP+oOAgGBoawsTERG65q+v7c6yg+rmdoznnU3A+52hp9fxFCBzt7KCiIj/SyNXZUbbes0ruP4CDXoSgqofiuZVTNzjkJczNFPP0AcB+/yOQSCT4oZ38/enmHelDPrFYjD5DRuL+oyfQ1NRAvVo1MH7kLzAzNcltc8UqKCgYjg65fcdcZOs9PRS/R0De1ybZORP8AuZmZgrrc1y7fh0A4OzolGcZQJpb6NbtO3Bycsy33NcS9DocjuXMofLRCDY3O2lOueevw+HlVvi2vo6MRlhULJp4V8l1vSgrC6KsLIS8jcS8LXthb2mGZjU9P7v9X1NY6Avo5NJXLCfrKxbiJv+R1OQkvA5+Brcqin1F9xp1cWDrWlz6oK/Y/IdeqN2sdT5bLH1eh7yAnoEhDI3krwl2ji6y9Z8qOSkJIc+eonLVvKfHlkbRb0KhqasPbQP530CmNtLvWMybl4XajkQshkQiQVpyIp5fP4/QBzfRqPdw2foskQgAoPxRf0dJWQUQCBD9+tPP1e+F0neYU2vXrl1ISEjAgQMHZL/PlZWVMX78ePzyyy9yKYc+pKamptCXunr1KhITE2UxgQ9ZWlp+9b5XmQhq6ejooGHDhvD395cLavn7+6NWrVqy/5SVK1fC3d0dS5culZXR19fHuHHjcPXq1VyTEwPAiBEjZH8Xi8WoW7cu7t+/j/3792Ps2LGwsLCAhYUFlJSUPvk/SCKRYMGCBWjTpg1mz54tW25iYoIhQ4Zg2LBhsh95H3Nzc8OkSZNk/65atSo0NTUxefJkzJgxA5qamggJCcHOnTsxZswYDBkyRFa2ZT6JUs+dO4cHDx5gy5YtqF1bOgzc29sbjRo1gqGh4tOlHDn7/vGJWq9ePVhZWWHv3r2YMGECAOkP1rt378od29IgKUEIrVyGjKtraEJFRRVJiQm51MrfzlWLkJ6WKpePKz5G+jT80okjMDQxRY9fxkJTWxvnA/2wZfFsZIlEqN+q/efvCJUYHXUVJGWIFJani8TIzBJDVz3/y2pKRhYCHkXgYUQCktJEsNDTQLvKlvitVQXMP/EMd8OEsrKhsSn4J/YVXmfn2qpooYs2FS3gbqmHKf4PkV7MubXi4+NhbW2tsDxnOphQKFRY92FdvVymjX1cVxgfL7f8Q3r6+ojPXv8p7O3toaSkhDt376Jjx46y5a9fv0ZUlPS7mZCQAFPT3H/cfymhUAjrXEZP6WePVsj3uAkToJ9Lvi89fT3ZegB4l70fm7btgIuTI+b8Ng1KAgG27vDFiPGTsXrpX6hbK/d7XmkijI/P9f9eU1MLqqqqEArjC6yf2zmac+7F53OsSyuhMAHWVpYKy3POC6Ew7/tUnuePnvz587GsrCwcDDgKBztbeH0UFHsXJR2VOmbqb+jSoS1GDO6Pl69eY8Xajeg3bDT2/LMBmvlMWygOQqEQ5XJJ8K+vV/D/e3y8MNdjpC87RvF51n327Dm2bNuGpo0bywKveVm9dh1evX6NZYsX5lvua4lPSoa1mWIAUl9HCwAgTCz8NHdRVhamr9kBLQ119PFprLA+Kj4BjQa/fxFFFRd7bP7tV2hrFM+DhKKWnJiQ6/TCnL5icsKnX1d2rVqM9LRUtPogH1dOX/HKSWlfsfvQMdDU1sHFwEPYtmQ2skSZqFeG+oqJCULo5HLcNDQ1oaKqisTPOG4bly1AeloqOvfKPx9XaZOWlAANHcWBBarqGlBWUUVqUmKhtnNq2wrcPy3Ng6msooqGvX5BlcbvZ5sYl7MFAIQ9ewSbCp6y5eFBjwCJBGmF/Bz6Ppw7dw61a9eWG3DSsmVLTJ06FWfPns0zqJUbf39/6OjooEmTgl9g8zWUiaAWAPj4+GD06NEICwuDlZUVoqKicP36ddmIpeTkZDx+/BgTJ06Uq9eqVStMmjQJN27cyDOoFRwcjMWLF+P27duIiYmRLX/58uUXtzskJARv377F1KlTIRK9/yHs7e0NgUCABw8e5BnUkkgk2Lp1K3bv3o03b94gPf194t/Xr1/D1dUVV65cgUQiQZcuBb+NJce9e/egq6srC2gB0h+UNWvWxLNnzz55H5WUlPDDDz9g165dGDNmDFRUVLBnzx5YWloqTP/5mrKy5AMPSkrSp5P5TZ/41Jj9wW3rcPX0Mfz4yxi5N9pIxBIAgCgjA7/+sQjG5tK3rVX0qoHZowbAf8dmBrXKAKWPTojs/1ZAolBUJp9VAICXsSl4ee2V7N9P3iXh2qs4/NWhMnpVt8HdQ+87fQGP5Ifb3w9PQEhsCsY1dkFTV1OF9cUh3+lGBUxF+qS6eZT9nOlO+vr6aNOmDfz8/FCpUiW0aN4ckZGR+HPmTCgrKyMrK6v4p5d90XEreJ1YIj3TVFVVsHrpQmhrS3+YelevirZdemDtxq2lLqj14T0QgCzn0ZecYwWVKSWz5T5dMX3v8lp38co1vIuKxrgRQxXW5ZxrrZo2xtjh0odnNap5wcTYCKMmTUfAsZP4ob2PQr3i9jn7+UGBT677NiwMI0aPhrm5OX6fkf9Ujb37D2D9xk3o0/snNG7UKP+2fEX5HpZCflckEgmmr96BW4+DsXTcAFiaKD4MNdTVhu/cCcjIFOHF2whsOnQC/f5Yji2//wpTw7xzKpWEPPuK+RyQT70vHfpnPa6dOYbuQ/PuKw7/YyGMzaR9xQpe3pg7agACdm4ptUGtz+pjf+L1eNemNTh/IhD9fx1fqt9+KM6SHzkvkPUvvvxYeLfrgcoNWyMlIR4vbl/BmX9WQZSehmrZebpMbZ1Qzs0dN4/8B0NLa9hWqorYsFCc3LJc2o4yexOk/OSV3yrHyTzSbAQHB+OHH36QW6ampgZbW1sEZ8+cKIzMzEwcO3YMzZs3z3XWw7p167B48WJoamqiXr16mDhxIqysCk6V8SXKTFCrcePG0NbWxuHDhzFo0CAEBARAVVUVzbLzKSQmJkIikShMYVBRUYGBgUGeT8aTkpLQv39/GBkZYfLkybCysoK6ujqmTZsmF0T6XHFx0lwDw4cPz3V9eHjeb0rbunUr5s+fj4EDB6JmzZrQ09PD/fv38eeff8raFh8fDxUVFRgbG+e5nY+9e/cu1ymBJiYmnxXUAoAuXbpg1apVOHv2LBo0aICDBw+ie/fuJZaXJDoyHFP7yQf6xs1bAR09fbx5ofi2pvS0VIhEmfkm/vyY3/ZNOLxrKzr2HYwm7eQ/Szv7ia+FjZ0soAVIb/aVqtbAkd3/ICE+Lte8C1Q6mOqoYWUXT7llfwQ+RlK6CPZGWgrl1VWUoKqshKR0xVFcBUnJyMKt1/FoUd4cqsoCZGblHRq7HhqHtMwsuJjqACjeoJaBgUGuI6Vyrqe5jXb4sK6wEHX1DQyky3MpmyAU5pskPD//+9//IJFIMGfOHMyaNQtKSkpo6+MDY2NjXLp06bO3Wxj6+vq5jqYRJkifmOZ73PT1ch1Nk5C9LKeuQfbILQ93d1lACwA0NTRQzcsTp8+e//wdKAZhb9/Cx0d+Wtv69Rugb2CAp0+fKpRPTU1BZmambORNXvTzOM8SZOdZ6foBXRj6+np5nD8550Der2iXnj+K/Z2EAuru8zsCFRWVXBO/55xrdWvK52ypW7MGBAIBHj99BuDrBrWk37F4heXChMJcm/Rz7RO+P76K50xYWDgGDB4KZWUVrF+zOt/rx4GDhzBz9hx06dwJ40aPKmhXvhoDHW3E5zIaS5gknTqvr1PwWwklEglmrNkB//PXMWd47zynHqooK6Oyk3QESdXyjqjnWQEtR/yODQeOY0q/wj+ELW4xkeGY1r+r3LIxc5dDW1cPr/PpK+Y24j8v/js24ciurWjfZzAatZP/Mamdfa6Z29jKAlqAtK9YsVpNHC2lfcV3EWEY3qOj3LLfl6yGrp4+XgYp/o5IS02FKDMTOrqFvx7/t3U99v6zCT0G/ILWnboVXKGECKMisHm8/JvTf5i8ABo6eoh6pRgkyExPQ5YoExraeV/HP6RnbAY9Y+l0aAePGgCAi3s2o0K95tDSMwAA+IyYhmPrFyLgb+mMIGUVVXi17IRXD28jPUUxrQVJCUpprtHilJCQkOvbv/X09PKdRfCxc+fOIT4+Ptephx07dkSjRo1kcYXVq1ejZ8+eOHjwYLH2vctMUEtdXR3NmjVDQECALKjVqFEjWW4rXV1dCAQCuZFWgPTJcHwe0xsA4M6dO4iIiMDatWtRvvz7pyeJiYmwsLDItc6nMMj+wTZjxgxUqaJ48zfLJ29DYGAgmjRpgnHjxsmWfRxFNTAwgEgkQkxMTKEDW2ZmZrkmb/84Ef+nsLCwQP369bF3716IxWLExsaic+ev+8aoDxkYmWDqUvnk9xbWtihn74jrZ09AGBsjlyvh7UvpcbWyK1w+Cb/tm+C3fSPa9RogN+0wh6llOaip5z4dQ5L91Lu0JNyl3MWmZGKK30O5ZWHCVLwyTUFdR2Poa6rK5dWyNZQmFM6ZKvipPvV8kBQ0JKwIuDg740hgIEQikVzumufZeY6cnZ3zrOvs7Cwr96GP6zpnD3V+HhSE+vXrK5T9lKHQH9LS1MSc2bMxedIkREREwNTUFIaGhujQsSM8PDzyzR/4pVycHHHk+Ilcjltw9nqHfOo64XmwYt6RZ9nLnLPz8+Tk2MqVRFLqOmumZmb4d/sOuWX29vZwueuCo4GBiI6Olnso9fx5wecYALg4uyAw8Egux1r6g9SpgPqlkYuTA44cPwWRKEsur9bzYGluFBfH/M4fR1m5Dz3LXuacS92Y2DicvXgZjevXgbGR4o9nVydHHDl+SmF5DoHg659rLs7OOHL0aD7Xpry/Hy7OzrLz60N51Q0LC0f/wUMAiQQb162Fhbl5nts+cPAQfp85C+3b+mD6/6aWqvu8i60VAi7ehCgrSy6v1rNXYdL1NopTXj+UE9Daf+YqZg7tiXYNCv8mOgtjQ5ga6uNl+LuCC39F+kYmmPxRX9G8nC2s7B/gxrmT+fQV8/4Ofsh/xyYc3r4JPr36o/UH0w5zmFpa5dlXzLnJK5WicyiHobEp5q3ZIrfMysYOtg5OuHjqGOJio+Xyar0KkX63bBwK18f+b+t67N6yHt1+HoTOP5XuaYc6hsbo8fsKuWWGFtYIt7HHs6tnkBwfK5dXKyfHlbG1/Wd9noWjG+6fPgxhVIQsqKWlZ4CO42YhJSEeyfGx0DMxh4qaGu6d9Iezd8nNmKHik9dIrM8lkUg+6X7l5+cHExMTuVlfOebPny/7u7e3N6pVq4bOnTtj9+7dGDRoUJG0Nzelq9dbAB8fHzx69Ajnz5/HnTt35KKD2traqFChAo4cOSJX59ixYxCJRKhePfcEg2lpaQCkr6PMcevWLbx9+1aunKqqqsJbBwvD0dERFhYWeP36Ndzd3RX+mOfTOUpLS5NrFyA9iT5Uq1YtCAQC7N27t9Btcnd3R2JiIi5ffv8WEqFQiKtXrxZYV1VVNc8RbF27dsXZs2exceNG1KpVCzY2NoVuU1FTUVWFvWsFuT8aWtrwrFUfAoEAl0/KnyeXjgdAVV0dlavXKnDb/js2w2/7Rvj82BftevXPtYyysgo8a9VH+OuXiI58PxpPIpHg4c2rMLUsB119gy/aRypeWWIJXsQky/1JE4lx43U8xBIJGjrJjwpt6GyKdFEW7ryN/+TP0lZTRlVrA4TEJOc7SgsAatobQUNVGc+jiv/pW5MmTZCSkqLwtkA/Pz+YmprC3T33ZOcA0LRJE4SEhODeB2+fE4lEOHz4MNzd3WUBfXNzc1SuXBmHDx9G1gdD+O/du4eXL18WOMS6IHp6enB1dYWhoSHOnDmDly9folfPngVX/AJNGzVASkoqTpw+K7f8YEAgzExN4F6pYj516yPkZSjuPXgfUBWJRDgceAxVKlWUJeU2NTGBh3tl3Ll3H0lJ70dfpKal4cbtO6hSOe/PKAmqqqqoVKmS3B9tbW00atQIAoEAfn6H5MofOnQQGhoaqFO3br7bbZx9jp48eUJueWHO0dKqacP60vPnzMfnz1GYmZjAvVLe03CaNqyHkNBXuPfBGzZFoiwcPnocVSpVyDWpu98RaT+pU7vcX2DSpKH0vnn+inwf4cLlq5BIJCVyrjVp0ij72iQfbDvkdxhmpqZwr5z3m+SaNG6MkJcvce/++zckikQi+AcEwL1yZZh9kGsvPDwC/QcPgVichQ1rV8Mql1xnOQ4e8sPvM2fBp01r/D5jeqkKaAFAsxpVkJKWjuNX78gtP3j2KswM9VHFxT7PuhKJBL+t3Yn9Z67it0Hd0alxwX2lD4VGRCEyJh62FsWTx/Bzqaiqws6lvNwfDS0teNSqB4FAgCsf9RWvnDgCVXV1VKpW8P4H7NyCw9s3ofWPfdG2Z959xSq16iHidShi8ugr6pTCvqKqqiqc3CrK/dHU0oZ33QYQCAQ4e/SwXPkzgf5QU1eHZw3FH8Af27NtI3ZvWY8fevdH177F9wO4qCirqMLcwVXuj5qmFpy8agMCAR5dPC5X/tGFY1BRU4e9++clvn/z+C4EAiXomyoOvNDSM4CprSPUtbRx79RhZKanwbNZ6Zy+SiVDT09PNnL7Q4mJibmO4MpNzgvpWrduLUsjkZ/y5cvDwcEBDx8+LLDslygzI7UAoE6dOjAyMsLUqVNlyeM/NGLECAwfPhxjx45Fx44d8fr1ayxevBi1a9fOM5+Wp6cntLS08Mcff2Dw4MGIjIzEypUrFYJNTk5OEIlE2Lp1K7y8vKCjoyP3pr+8CAQCTJ48GePHj0dKSgoaNWoETU1NhIWF4ezZsxgzZgwcHHJ/4lOnTh1s27YN//77L+zt7eHn54fQ0FC5Mg4ODvjxxx+xbNkyCIVC1K5dG2lpaThz5gxGjhyZa9CsQYMGqFSpEiZMmIDx48dDV1cXa9euzfNNiR9ydHTEyZMnUb16dWhqasLBwUE2Wi4n0fzt27exaNGiArdVEqzsHFG3RVsc+ncjlJSUYOdaAY9uXcP5wEPo0GeQ3PRD/x2b4L9jC8bMXQY3d+mbko7t24lD/25ApWq14F6jDl48kX9t+IevZG7fZyAe3LyCZdPHol2vAdDU0sKFo354ExKEwVNmfp0d/goqtWoEdW1NqOtKzwPLis6o+oP0jT33A04jMzWtJJtX5N7Ep+L08yh09SoHsUSC4OhkVLHSR1NXU/jekn8r4Q8eVvjBoxxmHn2Cx5HSqWcjGzghOjkdL6KTkZgugoWuBtpWtoC+pgpWX3g/QsdEWw2/NnDCpZBYRCSmQQKgork0UfzruBSceh5V7Ptar1491KpVC7Nnz0ZyUhJsbG0ReOQILl68iDmzZ8tuZr/9/jv8/Pzg7+cnmzPfsWNH7PL1xYQJEzDq119hZGQE3927ERoairVr1sh9zuhRozD0l18wfsIEdO/WDbGxsVi2fDmcnZ3RsUMHubI3btyQTesWi8UICw/H8ePSTmO1atVkU6tPnDiBd1FRcHRwQHpGBm7cuIEdO3aga9euaNxYMbFxUapfpxZq1/DGzAWLkJScDFtrawQcO4GLl69i7h/TZcdtxqx5OBQQiIC9u2BlKe2gdmrng1179mPc1BkYPXwojAwN4bt3P16GvsK6lfJvyx3/6zD0HzYKQ0aNQ/8+PSGANFF8XLwQI4YMlCt7/dZtxMXFAwDE4iyEh0fi2MnTAIDqVT1hlM9LQoqTk7MzOnbshDWrV0NZSRkVK1XClcuXsW/vXgwfPkJulPXatWuwft06rFm7TvagKuccnTN7NpKTkmFja4PAI4G4dPEiZs+eI9fhio2Nxc2bNwEAz59LR3JduHgRhoaGMDQ0lHv49fDhQ4SFSUewJCcnQyKRyM6zSpUqFWtuiPq1a6J2jeqYuWApkpJTYGtdDgHHT+LilWuY+/vU9+fP7AU4dOQoAv7b/v78adsau/YewLj//YHRvwySnj/7DuJl6GusW557wvJ9fgGwMDdTmF6Yw9HeFj/+0BG++w5CW0sL9WrVROjr11ixdhMquLqgVdNGxXIc8lO/bl3UrlUTs+bOk37HbGxwJPAoLl66hLmzZr6/Nv3xJw75H8bhgwdkAalOHdpj1+7dGD9pEkaNHAljI0P47t6D0NBQrFu9SvYZMbGxGDBkCKKjo/HHjOmIiY1DTGycbL25uZls1Nax4yfw258z4ebqiq4/dMb9B/Kd9wrl3aCmplbchyVf9b0qoU6V8vhz/W4kpaTB1sIUARdv4sKdx5g/sg+Us0d3Tl+9HQfPXkPgit9gZSq9ns7ZvAd7T11G58a14GprhbvP3o8GVFNVQQUH6UPMp6FvMX/rPrSo5QlrMxMoKQnw7FUY/jl8Gga62ujX7sseUnwtVnaOqNOiLfy3b5L1FR/fuoYLgYfQrrd8X/Hwjs0I2LkFo+YshWt2X/HEvp3w+3cDKlaricretfPvK/YehIc3rmDFjHHw6dkfmlrauHjUD29DgjBw8p9fZ4eLiI2DE5q0aY/dm9dDSUkZTm4VcffGFZzwP4Af+w+F7gdTe//bugF7tm3EjEV/o5Kn9I2Qfru3w3fzWnjWqI2qteri2aP7ctt3rVh2HlIYW9ujcoOWuLL/HygJlGDu6IbQBzdx/8wR1PmhLzR03p9DVw78i6sHt+OHSfNhXV46q+fEpqVQ09SChaMbtPQNkZooxPPr5/Hs6llUa9NVNkoLAO6fkSaSNzCzQnpKEl7eu44H546ibpd+MLPP/4UW9H1xcnJSmPWVkZGBV69eKeTaysvx48eRmpqKdu3aFfpzJV9hekmZCmqpqKigVatW2LFjBzp16qSQmKxp06ZYsWIF/v77bwwbNgx6enpo3749xo8fn+c2TUxMsGzZMixYsADDhg2Dvb09fv/9d2zYID8cuXHjxujZsyfWrVuHmJgYeHt7459//ilUu1u3bg09PT2sWbNGNtKqXLlyqF+/vkIOsA8NHz4ccXFxWL58OQDp2wmmTZuGoUPlE7nOmDED1tbW+O+//7B161YYGBjA29sb2tq550cQCARYtWoVfvvtN8yYMQN6enro06cPIiIicObMmXz3ZcaMGZgzZw4GDRqEtLQ0bNu2TRYwVFFRQZMmTRAYGIjmzZsX6tiUhJ7Dx8PA2BSnDu1BQlwsjM0t0H3IKDRpL59XQSyWQCzOkpvnde/qRQDAw5tX8PDmFYVtrwu4KPu7maU1JixYhX2bV+Pf5fORlSWCjaMLhs+Yjyo18x99UJb0XD0Lxvbv3z5WrVtbVOsmHUX5P/t6iAl9U1JNKzYbL4ciNiUTrSqYw0BTFVFJ6dh69RUCn8jnuBIIBFBWEsjl6XwVl4La9kZo7mYGDRVlJKWL8PRdIv4+9wLBMR+MuMnMgjAtEz6VpAEvJYEAUUkZOPI4AvvvhRf7mw9zLFm8GCtWrMCq1ashFArh4OCAefPmoXWrVrIy4qwsZGVlyd201NTUsH7dOixZsgTz5s9HWloa3Nzc8PfKlQojZ729vbEy+zN+HTUKGhoaaFC/PsaMHavwQ3D16tW4kR2YAKRBrhs3bgAANqxfLwtqKSkp4cCBA3j16hUkEgmcHB0xbdo0hSBZcVk6fxaWr16Pv9dthDAhEQ52tlgw8ze0btFMViZLnMdxW7kUS1auxtyFS5GWngY3FxesWroQ3lW95D7Ds4o7NqxcihVr12PKDGmgvErliti8ejk83eVHqqxavwk3bt2R/fv6rdu4fus2AGDTquUwqlZyOVumTJ0KMzMz7Ny1EzHR0bCyssKEiRPRo4f8iDqJWCIdzfdR52jR4iVYuWIFVq9eBaFQCHsHB8ydNw+tWrWWK/ciOBgTJ8j3B+bOkeYgqVatOjZs3Chb7rtrl8LosZy6f/zxJ9oX83m0dO6fWL52A/5evzn7/LHBgj+no3Xz928ZyhKLkZUllns5hZqaGtavWIQlK9di7uIV0u+dqzNWLZ4P76qeCp9z594DhIS+wtD+ffLNgTlp9HCYm5li36HD2PHffhga6KN188b4degghRHlX8uShX9h+d+rsGrNGgiFCXCwt8f8ubPR+oO3P0uPURYkkP+ObVizGouXLce8BX9lHyNXrFqxHNWrVZOVe/HiBd68kY7anzJtusLnDx08CMOGShPnn7twAWKxGI+fPEGffgMUyh7xP4RyxZwktzCWjh+I5Tv9sHJ3AIRJKXAoZ4a/Rv2MNnXf73eWWIwssVjuunTmpjQos+/0Few7Ld/3sTI1wvG//wAAGOvrwsxQH1v8TiE6PgGiLDEsjA3QsGplDOrUItek8qVVj2HjYGBsgjN+e5EQFwsjcwt0HTwKjdvL5wSTSMSKfcVr0r7go5tX8eim4iyI1YcvyP5ualkO4xaswoEta7BjxQJkZYlg7eiCX2bMg3uNstdXHDh6EoxMTHFk/27Ex8bA1MIS/UaMRevO3eXKyY7bB9/NG5ekuSDvXLuMO9cu42P/nb5WrG0vao37jIS2oQnunDiEFGEc9EzM0ajXL/BsLn//kEgkkHz0nbN0roBH54/h8cUTSE9Jgqq6JkxsHdFy8ERUqPtRcFgC3D62HwnRkRAoKcHM1gntfp0Bp6p1vsZulllKyqVrNO3X0KBBA6xevRpxcXEwzH6Yefz4cWRkZCgMFsqLv78/bG1t4eHhUajyjx8/xsuXLwsdNPtcAsnXCJ3Rd0EsFqNZs2Zo3Lgxpk9X7AB+qrPBn5/j63uw0/nzhi5/T+I27y7pJpRqW7uXnaeeJUEpna/CLohIvfAJk79HKqmK+SvpPYl64ZIlf8+UgxR/3NN757S9Ci70HTPRKtkRgmXBxVdxBRf6jv1Sy76km1AsTlWpUdJN+GxN7n1egDchIQFt27ZFuXLlMGzYMMTExGDevHmoV68eFi58P5p76tSpOHDgAB49eiRXPzY2FvXr18egQYMwevRohe1v3LgRr1+/Ro0aNWBkZITnz59jzZo1UFdXx4EDBwo9xfFzlKmRWlQ6ZWRk4MmTJzh69CgiIiLQq1evkm4SEREREREREUGaU2vr1q2YNWsWRo4cCQ0NDbRt21ZhVps4e5Tzx44ckb6YJ6+phw4ODjh27BgCAgKQnJwMQ0NDNGzYEKNHjy7WgBbAkVpUBN68eYOmTZvCyMgIv/76K3r06FEk2+VIrfxxpFbBOFIrfxyplT+O1CoYR2rljyO18seRWgXjSK38caRW/jhSq2AcqZU/jtQqfT53pNa3jCO16ItZW1vj6dOnJd0MIiIiIiIionwJvsOcWt+yvLOCEhERERERERERlVIMahERERERERERUZnD6YdERERERERE9F0QKHNsz7eE/5tERERERERERFTmMKhFRERERERERERlDoNaRERERERERERU5jCnFhERERERERF9F5SUBSXdBCpCHKlFRERERERERERlDoNaRERERERERERU5nD6IRERERERERF9FwRKnH74LeFILSIiIiIiIiIiKnMY1CIiIiIiIiIiojKHQS0iIiIiIiIiIipzmFOLiIiIiIiIiL4LSsoc2/Mt4f8mERERERERERGVOQxqERERERERERFRmcOgFhERERERERERlTnMqUVERERERERE3wWBsqCkm0BFiCO1iIiIiIiIiIiozGFQi4iIiIiIiIiIyhxOPyQiIiIiIiKi7wKnH35bOFKLiIiIiIiIiIjKHAa1iIiIiIiIiIiozGFQi4iIiIiIiIiIyhzm1CIiIiIiIiKi74KSMsf2fEv4v0lERERERERERGUOg1pERERERERERFTmMKhFRERERERERERlDnNqEREREREREdF3QaAsKOkmUBHiSC0iIiIiIiIiIipzOFKLSi3N4d1KugmlWtzm3SXdhFLPsB/PofyoNDtc0k0o1ZRS4ku6CaVeoqVXSTehVNNR1SrpJpRq4uMbSroJpV6/hHol3YRSbbOVf0k3oVRTqtygpJtQ6lXSe13STSjl7Eu6AUQFYlCLiIiIiIiIiL4LSkqcfvgt4fRDIiIiIiIiIiIqcxjUIiIiIiIiIiKiModBLSIiIiIiIiIiKnOYU4uIiIiIiIiIvgsCZY7t+Zbwf5OIiIiIiIiIiMocBrWIiIiIiIiIiKjM4fRDIiIiIiIiIvouKCkLSroJVIQ4UouIiIiIiIiIiMocBrWIiIiIiIiIiKjMYVCLiIiIiIiIiIjKHObUIiIiIiIiIqLvgoA5tb4pHKlFRERERERERERlDoNaRERERERERERU5jCoRUREREREREREZQ5zahERERERERHRd0GgzLE93xL+bxIRERERERERUZnDoBYREREREREREZU5nH5IRERERERERN8FJWVBSTeBihBHahERERERERERUZnDoBYREREREREREZU5DGoREREREREREVGZw5xaRERERERERPRdECgxp9a3hCO1iIiIiIiIiIiozGFQi4iIiIiIiIiIyhxOPyQiIiIiIiKi74KSMsf2fEv4v0lERERERERERGUOg1pERERERERERFTmMKhFRERERERERERlDnNqEREREREREdF3QaAsKOkmUBFiUOsrcHNzw8SJEzFgwAAAwL59+6Cqqop27doVqv7Vq1fRp08f7NmzB+7u7sXZ1EKZPHkyHjx4AH9//3zLtW3bFpUrV8a8efO+Usvyp6ShAeu+A2DUoCFUdPWQ+voVwnfvROzZ04Wqb1CrDiw6d4W2kzOgrIT0yEhEHtiLqCOHAQBq5ubw3Lozz/rxN67h2bTJRbIvxU1ZIECnKpZo6GIKQ01VvEtKx7HH7xD4JLLAuhUtdPFbqwq5rpt2+CGeRyXL/v1LPQc0cjZVKPdWmIqx++9//g6UEuo62vCZPhLWnhVh41UJuqbG8P99Kfz/WFrSTSsWyampWL5pB46evQRhQhIcbMth4I+d0aZJvXzrRURFY/Pug3gSFIKnwS+RmJyCWRNGoFOrJvnWS0tPR+dBYxH6Nhzjh/RBv24di3Bvvo7k1DQs+3cfAi9chzAxGY7WlhjYpQ18GtTMt96xSzdx9OJ1PHj+EpExcTA20EPVCi4Y3rMD7K3Mv1Lri4ZIlImtmzbhsN9BxERHw9KqHH7o2g1df+xRqPopKSlYt/pvnDp+DAkJCbCzt8dPffuhectWuX7Wf7t24bDfIbx58xpqqqqwd3TEyFFj4O7hKSvnu2M77ty+hWdPnyA8LAxeVavh73UbimqXC7VPK1avwbHjJyFMSICDvR369+2D1i1bFFg3JjYWS5avxLnzF5CWlgZXVxeM+GUoatXwliu3/O/VuHDxEsIiIpCWlgZTUxPUquGNQf37wcrSUmG7z4OCsWb9Bty4eQtJyckwNTFBvbp1MG3yxCLb7y+Vkp6JlUev4fi9YAhT02FvaoD+jbzQytM533pXnr/B5jO38SIyDvEpadDRUIOzhRH6NPBA/fJ2CuVTMzKx+cwdBN4NQnhcIrTUVeFiYYzpPzSAnYlBMe1d0VIWCNDB3RINnU1goKmKqKR0HHv6DseevCuwbgVzXUxvWT7XdTMCHiEoOjnXdQAwvWV5VDDXxbEnkdhy7dVnt7+4pKRlYIX/ORy79QTC5FQ4mBujf4taaF29Yr71rjx5iU3HryA4PBrxyanQ0VCHs5UJfm5aE/UrO8mVPXs/CEdvPcaTN+/wMiIGIrEY9/4uG/3DlJRULN+4DUdPn4cwMREOtjYY0LMr2jRtmG+9iHfR2OK7F0+eB+NpcAgSk5Ixa/IYdGzdXKHsmUtXcfT0eTx5HoyQV28gysrCg7MBxbVLRSo5NQ3LdxxE4MWbECYlw6GcBQZ1boU29b3zrXf88i0cvXQL94Ne4l1sPIz19eBVwQnDu7dVuKcv/fcAzt16gLCoGKSlZ8DMyAC1q5TH4C5tUM7MuDh3j6jUYlDrK/D19YWVlZXs3/v374eWllahg1qVKlWCr68vnJycCi78FQwbNgwpKSkl3YxP5jL9T2i7uuH15vVIe/MGxo2bwnnKdAQLBIg5cyrfupbdesC6b3+8C/BDuO8OSLJE0LCxhUBFVVYmMzYWD0cPV6hrWLserLr3QNylC0W+T8VlQG071Hcywe5bbxAckwwPK330rWkLDVUlHLgfXqht7Lz5Gg8jEuSWvYpLVSiXLsrCzKNP5JZliMSf3/hSRMfYEPUG98Sbu49x98Ax1BtUuB/pZdXo3xbgwdMgjBn4E+ysrXD41HlMmL0YYokYbZs2yLPeq7cROHzyPMo72aN+zWoIOHW+UJ+3YvNOpKalF1XzS8Svc/7Gg+chGNu3C+zLmcP/7FWM/2stJGIJ2jaqlWe9jXsDYGKojyHdfGBtboaI6Fis+88fP4z+Hbv+mgYXu3JfcS++zF/z5uJowGEMGjoMFSpWwtUrl7B00V9ISUlB3/4DCqw/ZcI4PHn0EL+M+BU2dnY4FngEv/1vCiQSCVq0ai0rl5WVhcnjx+Hendvo1ednuFfxQGpaKp4+foTU1DS5be7fuweampqoVt0bF86fK/J9LsiYCZPw4NFjjB4xDHZ2tggIPIZJ/5sOsUQCn1Yt86yXkZGBQb+MQGJSIiaNHwsjQ0Ps+m8Pho0chXWrVqJ6taqysolJiWjVsgUcHeyhraWF4JAQrN+4GWfOncd+310wMNCXlb124wZGjBqLql6emDZlEgwNDBAeEYEnT58V63H4VGP/OYqHb95hVKtasDPVR8Dt55i88wTEEgnaeLnkWU+YkgYncyN0rlEBxrpaSEhJx39XHmLk5iOY3b0JfKq6ysqmpGdi4LpDiEpIRv9GXnCxNEZSWgbuhkYgLUP0NXazSPSrZYd6jsbYc+ctgqOTUcVKH328baGpooyDDwp3n9916w0efXSffx2veJ/P0cLNDBa66l/U7uI2Zv0+PAgNx+gOjWBnboSA648wafMh6XfPu1Ke9eKTU+FkaYLOdTxgoqcNYXIq/rtwB8NX/4c5fduibY3KsrKn7j7D/ZdhKG9tDjUVZTx6FfE1dq1IjJo+Cw+fPMfoIT/D3rocDp84g4l/zodELIZP88Z51nv1NgyHj5+Gm7Mj6tesjoCTZ/Mse/L8Zdx79ATlXZygqqaKR0+DimNXisWo+WvwICgUY3p3gr2VOQ6fu4bxizdALJGgbYMaedbbsP8oTAz0MaRLa9iYmyI8Ohbr9gaiy7jZ2Dl/Mlxs3/+OTExOgU99bzhaW0BbUwPBr8Ox5r8AnLp+D37LfoOBns7X2FWiUoVBra/A09Pzs+plZWVBLBZDR0fns7dRHGxtbUu6CZ9M37sm9KtVR9C8WYjNDmAl3rsDdTNz2AwciphzZwBx7oEULWcXWPftj9ebNyBij69secKd23LlJJmZSH7yWKG+Tb+ByEpLLTBwVlpYG2iisYspfG+9gd9DaUfrUUQidNRV0NnDCsefvkNyRlaB2wlPSJMblZUXiQSFKlcWxYS+wVjDKgAAbWPDbzqode7qTVy6eRcL/jcGPk3qAwBqerkjPDIKi9ZuQ+tGdaGsrJxr3epVKuLCvi0AgAdPgwoV1Lr35Dm2HwjA/CmjMfbPhUW2H1/T2Rv3cOnOQywcPxg+DaUBrJpVKiDsXQz+2rwbrevXgHIer5xeNX0UjA305JbVqlIezQZOxNaDxzDr137F3v6i8CI4GP4HD2DIsOHo1acvAKBq9eoQCoXYsnEDOv3QBXr6+nnWv3ThPK5fvYLfZ82RBbCqVfdGRHg4Vi5bgqbNW8jOuz2+u3Dl0kWs2bgZld2ryLZRt159he3u+G8vlJSkx75Xty5Ftr+Fcf7CRVy+eg3zZv2JNtkBrBrVqyM8PBxLlq1Aq+bN8vwu7Tt4CEHBwfhn0wZ4VJGO7PauXg1de/6ExctXYsfWTbKy/5skP8LKu3o1lLOywvBRY3D67Fl06tAeAJCaloYp035DDe/qWLFkEQSC91M22vm0KdJ9/xLnn4TiyvM3mNujKVp7SgNY3k7lEB6fhCUBl9HSwwnKSrl/n1p6OKOlh/xorvoVbOEzbwf2XnssF9RaefQaQt7F4b/R3WBt/P472KiifdHvVDEpp6+BRs4m2H37Lfyz7/OPIxOhq66MjlUsceJZ4e7zEQlp+Y7K+pCJthq6V7XG6gsvMLZx3gHGknT+QTAuP3mJef3ao032yKwarnYIjxViyf7TaFWtQp7nUKtqFdCqmvwo9Qbuzmg9Yw32XLgjF9T6rWdrKClJv0dzfI+VmaDWuSvXcfnGbSyYPhFtmjUCANSo6oGwyHdYtGYTWjVpkPd93qMyzh/aBQB48ORZvkGtPyb8Krv+zl66qswEtc7evI9Ldx/jr7ED4FNfGsCq6e6GsKgYLNy6F63rVs/7nj51eO739CFTsc3vBGYO7yNbPn1IT7lyNSq7oZyZCYbOWoGT1+7ih2Z1i3jPiEo/JoovArdv30b//v1RtWpVeHl5oWvXrrh48aJsvZubGzZu3AgA6N27N65du4YzZ87Azc0Nbm5uWLFihWzdkCFDsH//frRs2RLu7u54/Pgxrl69Cjc3N9y//346llgsxubNm9G6dWtUrlwZdevWxa+//orExMR82zl06FDUq1cPnp6e6NChAw4cOKBQLiEhATNnzkSDBg1QuXJlNGnSBIsWLZKtnzx5Mtq2bStX59atW+jcuTPc3d3Rtm1bnD2b982qJBjWqYeslBTEnjsjtzzqeCDUTEyg45b7dDkAMG/fCeLMTEQe2v/Jn6tuaQVddw/EnjsLcRkZ3eZtawAlgQCng6Lllp8Jioa6ijI8yxmUTMOoVDtx4Sq0NDXQsmEdueUdWzXBu5hY3HvyPM+6Snn8SMhLRmYmpv+1Ej3at0Zlt/ynFZVmJy7fgpamOlrWk5+W0LlZXbyLjce9Zy/yrPtx5xcAzIwNYW5siIjo2CJva3E5d+Y0JBIJfNp1kFvu06490tPTcOXypXzrnz1zGlpaWmjSTH4Ki0+79oiOisKjB+/vm7t37YCnV1W5gFZePvWcLEonz5yFlpYWWjRrKre8Q7u2eBcVhfsPHuZZ99Tps7C3s5MFtABARUUFPq1b4cHDh4h8l//UMiNDQwCAsvL7Z57HTpxEVHQ0fu79k1xAq7Q59SAEWmqqaO4uP6q9Q3U3RCWk4P6rgqfVfUhVWRm6mmpQVnq/z6kZmdh//TGauzvJBbTKmuq2hlASCHA2KEpu+dns+7xHubwDyZ9rYG173A9LwI3X8UW+7aJy8u4zaKmroYWX/NTKDrWr4J0wCfdfhn3S9qTnkLpCIENJqfR+j/Jz8twlaGlqokUj+QcBnVo3x7voGNx7/DTPup9yTS3J6++XOHnlDrQ01NGyTjW55Z2a1pHe05+H5Fk313u6kQEsjA0RER1X4Gcb6UtHZ6nkETQjRQJlpTL7hxRxpNYXunnzJvr27QtPT0/MmjULenp6ePDgAcLCcr/x/fbbb5gwYQI0NDQwadIkAICFhYVsfU7dUaNGQU9PD5aWlnjxQvGHzcyZM+Hr64u+ffuibt26SE5OxpkzZ5CSkgJdXd1cPzssLAxVq1ZFjx49oKamhlu3bmHatGkAgI4dOwKQTl3o27cv3r59i+HDh8PV1RURERG4efNmnscgKioKAwYMgJubG5YuXYqEhAT88ccfSE4uPaNvtOztkfr6lcJorNQQ6bHVtLdH0uPcfyjoVq6CtNevYFSvAax69oaGpRUyY2MRfeoE3v6zGRJR3tMNTFu0gkBJCVGBh4tuZ4qZjYEWhKmZEKZmyi1/FScNytkYagJ535dl+teyx6iGzkgXifE8Kgl7777F03dJCuXUlJWwtrsn9NRVEZeaieuv4rD79ptCPSWm0iMo5BUcba2h8tFTWjdHaT6a5yGv4FUp9xwsn2r1P/8hNS0dI/v1QJwwoeAKpdTz0LdwsrZSOGau9jbZ69/Aq0Lhg3avI94hLCoGTWtVLbhwKfEiOAgGhoYwNjGRW+7s4ipbX1B9O3sHqKjId2dy6gcHB8PdwxOREREIDwtD3foNsObvFfA7eAAJQiFs7ezQq09ftGnbvgj36ssEBQfD0d5eYZ9cXVxk6z09cg/MBQUHo6qXp8JyVxfpeRT84gXMzczk1olEIohEIoS8DMWCRYthZ2uLZk0aydbfuiUdlZwlFqPvgEG4//ARNDU1Ubd2LYwfMwpmpop5EUtCcGQcHMwMFH7UuVhIc8wERcbC094it6oyYrEEYokEscmp2HPlEUKjhRjV+v004Mdvo5GaIYKtiT5m7z+HwLtBSM0QwdXCGEObV0eDCor5t0ojGwNN6X0+Tb7/8ip76qCNgWahttOvph1GNnBCukiMoOgk7L8Xlut9vpGzCZxMtDHh4IMvb3wxCgqPgqOFscI55GolPceDwqLh6Wid7zZk51BiMv67cAeh72IxpmOj4mryVxUUEgpHOxuoqHx0z3JykK5/EQqvyvnnHvuWPX/1Fk7Wlor3dDtr2Xqv8oVPJfM6Ikp6T6/hket6UVYWRKIsvHgbgXkbd8PeyhzNanl9/g4QlWEMan2hv/76C3Z2dti6datsyG29enknRXZ2doaOjg60tLRynVIoFAqxd+9euUDXx0GtkJAQ7Ny5E2PGjMGQIUNky1u2zDvPBgD4+PjI/i6RSODt7Y3IyEjs2rVLFtQ6cOAAHj16hF27dsHL6/2FsVOnTnlud+vWrRAIBFi3bh309KRPGkxNTWWJ8UsDFV09pEUo5ogQJUp/EKvo5f3EVc3EBBJ9fdj9MgJvtm1Gamgo9LyqwqpbD6iZmuLFgjm5V1RSgkmzlkh9FYqkR3k/WS9tdNRVkJRLXpB0kRiZWWLoqud/2UjJyELAowg8jEhAUpoIFnoaaFfZEr+1qoD5J57hbphQVjY0NgX/xL7C6+xcWxUtdNGmogXcLfUwxf8h0r+R3Frfg/iERFjnkqBcX1f69FCYkPco0k/xOCgEm3wP4O9ZU6ClqVGmg1rxiUmwsVAMCOjramevL/yDAVFWFqYt3wItDQ307VBwMvHSQigUQk9PcVSIpqYmVFVVIYwX5lLrvQShEFblFH9k6unrZa+PBwBERUlH6Rzx94eZuRnGTZwMbR0dHNq/D7N+/w2ZmSJ06NT5C/emaAiFQpQrp5gTTT97n+KFeR+TeKEQ+rncz/Szj3H8R8czOjoGTVq9n0LoXrkSNq5dBS0tLdmyyCjpaJ6xEyejS6eOGP7LEISGvsKKVWvQf/BQ/LdzOzQ1ND5hD4tHfEoarI1y2XctaQ4nYUqawrqPjdgcgEvPXgMAdNTVsKBnc7lA1Tuh9Du55cwdOFsaYVa3JhAIBPjn/F2M2noEf/fzQR03m6LYnWKlo66C5Hzu8zoF3eczs3DkUQQeRyYiMV0EC10N+FSywLQW5fHXqWe4F/b+umyoqYpe1W2w8+YbxH/0sKy0ESanopyxgcJyfW1pkC8+Oe98YTmGrdqNS4+lT/50NNTxV/8OaFC57I4o/lB8QgKsrRRfIqGvpytb/z2LT0yGjYWJwnIDnc+7p0//exu0NNTRp30zhfVRcUI07P9+CnkVVwdsmTkW2polfy0mKgkMan2B1NRU3L17F2PHjs1zDvmncnNzkwto5ebKlSuQSCTo0uXT8nwIhUKsWLECJ0+eRGRkJLKypCNhDAwMZGUuX74MJycnuYBWQe7evYuaNWvKAlqANLCno1PKEhVKJPmsy6eeQABlbW0EzZ0pe1Ni4r07UFbXgEXnLnj7zxakhyuOzNOv7g01U1O8Wr/mCxtefD4eAS/OOQ6feagA4GVsCl5+8EajJ++ScO1VHP7qUBm9qtvg7qH3P6oCHsm/TfF+eAJCYlMwrrELmrqaKqyn0k2AfKZUFMG0JVFWFqb/tRKtG9VFPe9v42lkfkelsEdMIpFg2vLNuPnwGZZNGQ5LU6OiaFqRE300qjXnvpnflLbCnDb5lsleKckepZuRkY6Fy1bA0lKadLdGzVro37sXNm9YV2qCWkBBx6SAg/IJdQ0M9LFz2xZkZGTgxcuX2LLtHwwYMgyb1q2GafbouZxj16p5M4z5dQQAaY4vE2NjjBo/EQGBR/FDR/npoyUl/+9TwSfTpA51kZiagejEFBy+9QwTdxzHzG6NZTm6xNn9CFUVJfzdvw201dUAAN5OVmj/106sO3Wz1AW18rrP59slKuBGL30g9T6lwtN3Sbj+Kg7z21dGj6o2uBf2/kHegFr2eBWbglPPo3LbVKnzpdejKd2aIzE1HVHCJBy+9hATNh3ErD5tZTm6yrr8L7dlc1pl0crn/CnkXV0ikWD6ym24+SgISycOgaWJ4j3dUE8Hu/+agoxMEV68icDG/Ufx8/TF2DpzHEyNin768LdIUEanuVLuGNT6AgkJCRCLxTD7aCj/lzA2LvhVrPHx8VBRUSlU2Q9NnjwZt2/fxvDhw2Ujxnbu3IkjR47IbftT9ycqKgp2dopD7j+1fcVJlJgAlVxGA6jo6snW51dXzcgYwpvX5ZbH37gGi85doO3skmtQy7RlG4gzMxF94tgXtr54mOqoYWUXT7llfwQ+RlK6CPZGWgrl1VWUoKqshKT0T3+7U0pGFm69jkeL8uZQVRYgMyvvHvP10DikZWbBxVQHAINaZYWBni7icxmNJUyUTkXJGbH1Jf7Z64c34ZFYNGM8EpKkTzyTkqU/rNIzMpGQlAxtTY0ie8hQ3Ax0dXJ9civMXpYzYis/EokE01Zsht+Zy5g7eiCaltKpB+FhYfihvY/cspVr1kNfXx/PnynmYUlNTUVmZma+SeIBQE9fP9fRXAnZI/hyRoHp6RsAAOzs7WUBLUD6I6xm7drYtnkTYmNjYWRU8gFB/Tz2SZi9T7mNxMphoK8PYS4juYQJwuxty9dVUVFBpYrSnJJenh6oW7sW2rTvhI1btmLy+HGy9gBAndryb+OsU7sWBAIBHj/JO4/O12SgpYH4XEZjCVOkb0jV0yr4rXt2JgayvzeqaI/hGw9j7oELaFnFGUpKAhhoSUdBeNhZyAJaAKCppopqjlY48/Dll+1EETPRVsPyH+SnLs08+gRJ6SLYGeZ9n89tFFdBUjKzcPtNPJq5mcnu8zVsDVGlnB7+CHwCLVX567KKkgBaqspIF4mRVVAU7SvR19aEMJfRWDnL9LUKnpZpZ/b+GtK4igt++Xs35vgeQ6uqFcpsLq0cBnp6ud/ns5fp55H+5HthoKstu39/KD4p556u+J37mEQiwfS//4HfuauYM/JnNK3pmWs5FWVlVHa2BwBUreCMel6V0GLoVKzfF4ipA7t/9j4QlVUMan0BXV1dKCkp4V0BiVc/RWGechgYGEAkEiEmJqbQgaP09HScPXsWkyZNQu/evWXLd+zYobDtp08/rYNqamqKmJgYheW5LSspKSEhMG7UBFBSksurpWkvzQOQ+vJlnnVTQ15AzUjxOOf8V0ly6Yyp6BvAoEYtxF+5BFH29JfSJjYlE1P85KdFhglT8co0BXUdjaGvqSqXV8vWUNqZy5kq+Kk+9QleKenjUiG5ONoh4NR5iLKy5PJJPHshHbXn4vDlb019HvIaickpaNNnuMK6FZt3YsXmndizdhEqODt88Wd9Da725XD43FXFYxb6BgDgYpd/7pacgNb+Excx69ef0b5x7WJt75cwMTXFxm3/yi2ztbOHk7MLThw7ipjoaLm8WsFB0hcLODrlP23HydkFJ44GQiQSyeWgyqnv5CTNX1LO2hoaeUyRy7mGl5YfnC7OTjhy9LjCPj0PkuYXc3bKOyeLi7MTngcFKyzPWZZfXQCwMDeHqakpQl+9li1zdXFG4LHjedZRKiWjM5wtjBB4JwiiLLFcTqSgCOmLE5zNPz1gWcnGDBefvUZcciqMdbXgYpnPNiRFMiC1SMWlZuJ/h+Xv8+HCNLyO00EdB2Poa6jI5dXKyaX1Ov7z7vMy2fdvG0NNqCgpYWYbxVFKTVzN0MTVDItPPy81yeNdrExx5MZjhXPoeZh0lJmzleLUsoJUtrPExUcvEJeUAmO9gh9UlGYujvYIOHkWIlHW/9m767CosjcO4F9AEFFpEOnGAkFBUcFWVKx11TXW7s41fmut3aTY3R2IotjdjQliKxKSQzO/PwYHx6FUEEa/n+fh2fXOOfeee+fWvPec90rk1Xr6/AUAwNJcNnLKFRVrEwMEnL8udU1/9vItAMDKWHpY+Zc+B7T2n7qEWcN6oG1D5zzLf0lPWwM6mup48Y4Pg+n3xH53P+BzXqyDBw+Kh/IVhKKiIlJSUr57uc7Ooqeje/fuLXCd1NRUZGRkQFFRUTwtISEBp06dkihXt25dhIaG4s6dOwWet52dHa5evSrx5sULFy4gIUE6WWhx+XTpAhRUVKDpUl9iunbT5kiNjETCk0e51o2+cA4AoO5YS2K6mlNtCDMykJhDLwPtps0hr6iIiGNHpT4rKTIyhXgelSjxl5yeiRuvY5ApFKKBheTNWwNLHaSkZ+DO25hvXlZZJQXUMFRHWFRinr20AKC2qSaUFRXwLKLk7D+Uv6b1akOQlIygc5clph88fhq6Wpqwq/Tjr3Dv3/UPrF8yU+Jv0b9jAQB/tXHD+iUzYWyQ9/DtkqSpcw0IklJw/JLkizgOnrwIXU112Fmb51pXKBRiqs8G7D9xETOG9USHpq65li0JFBUVUblKVYm/smXLwrVBQ8jJyeHIYX+J8kf8D6F0aWU416mbyxxFGjRsBIFAgDOnTkpMPxrgD20dHVSpJnoLYKlSpeDaoCFehIXh/RcvchEKhbhy6RIMDI2grq5RSGv7Yxo3bAiBQIATp05LTD8UcAS6OjqwrVY197qNGiLsxQvce5CdkDs9PR2HjwTCtlrVfJO6v3r9GuEfP8LYMDug2qSR6Du6cEnyTZQXLl2GUCiEnW21gq9cEWpc1QyC1DScfCCZh9T/5hPoqKrA1vjbeqELhULcDHuH8mWUoJbVQ0tHtSzsjCvgzosPSEhOFZdNSk3DzefvYGcsnVewOGVkChEWJZD4E13nPyFTKET9r67z9S20kZKegbtv885ll5OySgpwMFTHi+hEpGWNcTwbEolZxx5L/QHA9VefMOvY4xwTyxeXxtWtIUhJxYk7kvd1h64+gK5aOdia6udSM2dCoRA3Q16hfJnS4rxcsqyJax0IkpIQdO6CxPRDgSegq60Fu8o2xdSykqFJbQcIklMQdPmWxPQDpy+LrulWuT9wEwqFmOYnCmjNGNwdHZrU+6Zlv3z/EeFRn2BcsWS8uIPoZ2NPrR80btw49O7dG71790a3bt2gpqaG4OBgaGho5JrzytzcHAcOHMCpU6ego6MDXV1dVKhQ8BshMzMzdOnSBV5eXoiNjUWdOnWQnJyMM2fOYMSIETnOq3z58rC1tcXq1auhqamJUqVKYdWqVShXrhyio7Nf/96uXTts27YNgwYNwvDhw2FlZYXw8HDcuHEDs2bNyrE9vXr1wrZt2zBgwAAMGDAAcXFx8PHxkcjVVdxib1xD7M0bMB0xGgoqZZH87i20GjaGulNthC6YI+69ZTZmPLSbuuFun7+R+lH0tCPyeCB0W7WByfDRKKWmhqRXL6FqXxMV2rTHx8OHxOW+pOPWEikfw6WGLMqCNzFJOP0sAp0cDJApFCI0MhF2+mpoYq2Dnbck30r4Z3V9/FndALOOPcajcFFQc0R9C0QmpuB5ZKI4gWzranpQK1MKyy9k/9jQLquEkfUtcCksGh/ikyEEUKWCKFH860+yk38jP1VbNETpsmVQOmv4XcUqlqjxZ0sAwP0jp5GWlH/yYlngWrsG6tasjpleq5AgSIKxvh6OnL6AC9dvY8HkUeIhgVMXLcPB46cRuMUP+hWyf2QeOyv6wfzmveh4Cn4aCpWshKduDUSBDXNjQ5gbS/ZeevtB1FPWSL8CatmXjB/XBVXf0Q517atipt9mJAiSYFJRFwHnruL8rQdYOG6A+DXw/3qvw8GTl3Bs9XwY6Ip+hM5ZtQ17g86jQzMXWJsY4s7j7N45SoqlUMVCNp6Ym1tYoHW79li7agUUFBRQuUoVXL1yBQf378PAIcMkhh+uW70S69eshrffCjjUdAQA1KnnAqfazlg0fy4SExNhaGSEoGOBuHLpEqbPmiMxFHXAkKG4cukixowYhn4DB6Fs2bLwP3gAIc+eYta8BRLtevQwWBz8EiQmAhDi1AlRb6XKVatKDGEsbK716qJO7VqYPX8hEhITYWxkiKPHjuPipcuYN+s/8TpNnzkbhwKOIODAXuhXFCVv/qNtG+zYtQfjJ/4Po0YMg5aGBnbu2YuXL19ilZ+veBlPnz3DwqWeaNakMQwNDCAvJ4dnIaHYvH071NTU0KtHd3FZM1NTdOnUETv37EVZlbJwqVsHL169gu/ylahkYwO3ZtJJjIuDSyVjOFsZYs7+80hIToWxthqO3gnBxaevMadLYyhk5U+ZsfsM/G89gf+EbtDXEA2XGr0xENYVtWCjrwU1FWVExCXi0I0nuPn8PSa3d5HotTPWvQ4GrDqEoWsD0LuhPeQAbD5/D58EyRja3Kk4Vv2bvY1NxpmQSPxpb4BMIRAalQi7iqpobK2D3bffSlzn/7DTRwc7fcwJeoLHWdf5Ya7miEpMzb7Oq5aGexXRdX7lpezXI0cmpiIyMVVq+QDwSZAqvm8oKVyrWqBOJVPM3nEMCckpMNbRwNEbD3Hx4XPM69VGvA9N33IEh67eR8CMwdDXEp2jRq7YAxtDXdgYVoB62TL4GJuAQ1fu48az1/jfX80l9qF3UbF48FL08qLXkTEAgOO3RME+Ay01VDWRTsZeErg6O6GOowNmLV2GxMQkGBtUxJGTZ3Hh2k3Mn/JP9nV+gScOHTuBo9vWQl8v+zfJ8TOiYNibd6J1D37yDCplRMG+5g2zX7L17kM4HjwW9bZ9/fa9RF19PV1Uq2RdxGv6ferXrIa61Svjv5XbkCBIhnFFXRw5fw0Xbgdjwei+4mv6FN9NOHj6MgKXz4aBrmgkyJw1O7D3xEV0aFIP1iYGuPsk+35ZUbEUqpiLers/efEG89ftglvdmjCsoA15OTk8ffkWm/xPQr1cOfSRoRfFFDd5Bfbt+ZUwqPWDHB0dsWnTJnh6emLy5MmQl5eHlZUVRo8enWudAQMG4NWrV5g4cSLi4uIwfPhwjBgx4puWO23aNBgaGmL37t3YuHEj1NXV4eTkhLJlc+/avGTJEkydOhWTJk2Curo6evToAYFAgHXr1onLKCkpYcOGDfDw8MDKlSsRExMDPT09iTcnfk1XVxerV6/G7NmzMWrUKBgbG2PatGlYvHjxN61TUXs2axoMe/eDQc/eKFWuPJLfvJZI/g4AkJeHnIKCRJ5HYUYGHk/+B0Z9+qHiX91Rqnx5pIR/wOt1q/Fh326p5ZSrXBVljE3wdstGmR1Dt/byS0QL0tCicgWol1FEREIKNl59hcDHkgE8OTk5KMjLSQy5ePVJgDqmmmhmowvlUgpISEnHk4/xWHbuOUKjsnMNJKVlIDY5De5VRTfC8nJyiEhIxdFHH7D/3vtf5s2H3ZbPhpZpdiCmZufWqNm5NQDgX1MXRGUNNfsVeP43Ad5rt8F3w3bExifAzMgAi/4di1aNs29WMzIzkZGZKXVojJ0peb7YfvAoth8U9XQMPrmvyNteXLz/Nwxem/fBZ+sBxMYnwtxQD4v/GQT3+rXFZTIzhMjIzJR4S8Ppa3cAAPuCLmBfkORTc31dLZxcu+hnNL9Q/DNpMnR0dLF753ZER0WhYkV9jB73Dzp16SpRLjNTiIyMDKl9Z96iJVjp54s1K5YjLi4WJqam+G/OPDRzayFRztDQCH6r12G5rzcWzJ2N9PR0WFlbY+FST9RzlezFu3fXTqneY1Mmid409e/0/+Depm0hrX3OPBYtgLffcvitWIXYuDiYmZpgwZxZaOmW/YMlIzMza3tkbxAlJSWsWe6Lpd6+mL9oMZKTU2BjbQU/b0841qwhLqelqQldbW1s2rINEZGRyMjIQAVdXdR3ccGAPr2hpyf5cGzCuDGooKuLfQcPYtvOXdBQV0eL5s0wctgQiR7gxW1pDzf4HLuK5UE3ECtIhpmuBuZ3bYoW9tnDWDOEmcjIFEpst+omFXDi/nPsuPQAiSmpKK9cGlUMdeDdu6XE2w8BwN5UD6sGtIHv8Wv433ZRD0E74wpYM7AtqpvITk/R9Vde4pMgFc0r6Yqv85uuv8Lxx5IpNeTlILrOfzHt83W+ibXOF9f5BPhdCMPzqIK/4a0k8hjQAd7+Z+F3+LxoH6qgiQV92qLlF4neRdcxIYRfnJTtLQxx4vYTbD97C4nJKShfRhlVjPXgO6Sj1NsPrz99ialbjkhMG7/2AACgbe1qmN2zddGt4A/ymjUFXms2wnfdZsTGx8PM2AgLp01EqyYNxGUyMzORkZHDdX665NvCt+8/jO37DwMAHpzN3h7Xbt/DlPkeOdZt16Ip5kweW5irVKi8Jg6G19aD8NlxCLHxAtE1fWx/tHLNDnhnZt0HfXlRP3P9PgBg38mL2HfyosQ89XW0cGKVaP211FWhq6mO9QeDEPkpFukZmdDTUkcDR1sM7Ngyx6TyRL8DOWFOCYGISoBrLRoXdxNKtCVd5hd3E0o8jT6di7sJJZrv64DibkKJJi+IKe4mlHifKpbMxPQlRTnk3EuFRDJPri/uJpR4/eJc8i/0G1uv/yD/Qr8x+Wr18y/0m5OPfp1/od+YQpWGxd2EIvFsSM4jqmSB1fI9xd2EEoc9tYiIiIiIiIjotyDH4Ye/FH6bREREREREREQkcxjUIiIiIiIiIiIimcOgFhERERERERERyRzm1CIiIiIiIiKi3wJzav1a+G0SEREREREREZHMYVCLiIiIiIiIiIhkDoNaREREREREREQkc5hTi4iIiIiIiIh+C3Ly7NvzK+G3SUREREREREREModBLSIiIiIiIiIikjkcfkhEREREREREvwU5BYXibgIVIvbUIiIiIiIiIiIimcOgFhERERERERERyRwGtYiIiIiIiIiISOYwpxYRERERERER/RbkFNi351fCb5OIiIiIiIiIiGQOg1pERERERERERCRzOPyQiIiIiIiIiH4L8vLs2/Mr4bdJREREREREREQyh0EtIiIiIiIiIiKSOQxqERERERERERGRzGFOLSIiIiIiIiL6LcgpsG/Pr4TfJhERERERERERyRwGtYiIiIiIiIiISOYwqEVERERERERERDKHObWIiIiIiIiI6LfAnFq/Fn6bRERERERERES/sLCwMPTr1w/29vaoU6cOZs+ejeTk5Hzr9ejRAzY2NlJ/oaGhEuXS0tKwZMkSuLi4oHr16ujRowceP35cVKsjxp5aRERERERERES/qLi4OPTq1Qv6+vrw9vZGdHQ05s2bh5iYGCxevDjf+jVq1MDEiRMlphkaGkr8e968eThw4AAmTZoEAwMDrFmzBr1794a/vz90dHQKdX2+xKAWEREREREREf0W5OR/vwFrO3bsQFxcHA4cOABNTU0AgIKCAsaPH48hQ4bAwsIiz/qqqqqwt7fP9fPw8HDs2LED//77Lzp37gwAqF69Opo0aYKNGzdi/PjxhbYuX/v9vk0iIiIiIiIiot/EuXPnUKdOHXFACwDc3NygpKSEs2fP/vD8L1y4gIyMDLi7u4unlStXDo0bNy6U+eeFQS0iIiIiIiIiol9UaGioVG8sJSUlGBsbS+XGysm1a9dgb28PW1tb/P3337h+/brU/LW1taGuri4x3cLCAmFhYcjMzPzhdcgNhx8SEREREREREZVwTZo0yfPzkydP5jg9Li4OqqqqUtNVVVURGxub5zydnJzQrl07mJqa4uPHj1i7di369OmDzZs3w8HBQTz/8uXLS9VVU1NDWloaBAIBypUrl+dyvheDWlRiOWxYXdxNKNE2qukXdxNKvFJNA4q7CSXacCP3/Av9xrw/XSvuJpR4GhEPi7sJJVtmenG3oERLkVco7iaUeEvbVSnuJpRoQqVqxd2EEi0zLam4m1DiZajqFXcTSrRf9Swtp8ABa58JhULIycnlWWbkyJES/27YsCFat24NPz8/rF6d/Zs9p/kIhcLCaWgeGNQiIiIiIiIiIirhcuuJlR9VVVXExcVJTY+Pj883SfzXVFRU0KBBAxw7dizf+cfFxUFRUREqKirf3ugCYoiSiIiIiIiIiOgXZWFhIZU7KzU1Fa9evfrmoBYg3QPLwsICUVFRiImJkZgeGhoKMzMzyBfhGycZ1CIiIiIiIiIi+kXVr18fV65cwadPn8TTgoKCkJqaigYNGnzTvAQCAc6ePQtbW1vxNBcXF8jLy+Po0aPiaYmJiTh16tQ3z/9bcfghEREREREREf0WfsecWl26dMGWLVswdOhQDB06FFFRUZg/fz7atGkj0VPrf//7Hw4cOICHD0V5U2/cuIG1a9eiWbNm0NfXx8ePH7F+/XpERETAy8tLXK9ChQro0qULFi9ejFKlSkFfXx/r1q0DAPTq1atI141BLSIiIiIiIiKiX5Sqqio2btyI2bNnY8SIEVBWVkbr1q0xfvx4iXKZmZnIyMgQ/1tHRwepqalYunQpYmJiUKZMGTg4OOC///6DnZ2dRN1JkyZBRUUFnp6eiI+PR/Xq1bFx40bo6OgU6brJCX9GOnqi75D2ITT/Qr+xDL79MF+lop4XdxNKNL79MG98+2H+SkW/Ku4mlGx8+2GeUh7yGMtPbIN+xd2EEk1d6ffrbfEt5Pj2w3wJS5Uu7iaUaMoqZYu7CUXi/bxhxd2E71Zx8rLibkKJw55aRERERERERPRbkP8Nhx/+yvhtEhERERERERGRzGFQi4iIiIiIiIiIZA6DWkREREREREREJHOYU4uIiIiIiIiIfgty8uzb8yvht0lERERERERERDKHQS0iIiIiIiIiIpI5HH5IRERERERERL8FOQX27fmV8NskIiIiIiIiIiKZw6AWERERERERERHJHAa1iIiIiIiIiIhI5jCnFhERERERERH9FphT69fCb5OIiIiIiIiIiGQOg1pERERERERERCRzGNQiIiIiIiIiIiKZw5xaRERERERERPRbkJNn355fCb9NIiIiIiIiIiKSOQxqERERERERERGRzOHwQyIiIiIiIiL6LcgrKBR3E6gQsacWERERERERERHJHAa1iIiIiIiIiIhI5jCoRUREREREREREMoc5tYiIiIiIiIjotyCnwL49vxJ+m0REREREREREJHPYUysXNjY2mDBhAvr165drmfv376Njx47YtGkTateuXehtaNy4MRo2bIhp06YV+rx/RwJBErzXbsKx0+cRGx8PM2Mj9OvWCa2aNMiz3oePkdiwcy8ePwvFk9AwxCckYvakMWjfsplU2TOXruLY6fN4/CwUYa/eID0jAw/OHimqVSoQgUAAX19fHA8KQmxsLMxMTdGnb1+0bNEi37pR0dHw9PDAufPnkZycDGtrawwfNizH/f3KlStY5ueHp0+fQllZGfVdXTF6zBhoaWpKlPP19cXjJ0/w+PFjREREoG2bNpg1a1aOyw8ICMDGTZsQFhYGFRUV1HF2xujRo6Gnp/d9G+MHJCYlwXvdNhw7ewmxcQkwMzZA/y4d0KqxS571PkREYv2ug3gcEoYnoS8QnyjA7H+G448WjfOsl5ySgg4DxuLl2/cYP6gn+nRuX4hrU3KULlcW7lNHwNC+CowcqqK8jhYOz/DE4f88i7tpP0QgEMBnxRocO3kKsXHxMDMxRr+e3dGyedN860ZFf8JSXz+cu3BZdNxZWWLE4P5wdnKUKNdnyAjcuHVHqn4951pY4bVEavqz0OdYvmY9bty6jYREAXS0teBa1xlTJoz77vUsTIlJyfDauBuB568gNj4R5kYV0b9TW7g3rJNnvQ8RUVi39wgehb7Ak7BXiE8UYO7YgfijmfS5PTUtHSu2H8ChUxfwMSoa2prqaN2wLoZ26wDl0kpFtWpFKjEpGV6b9yLw/DXRdjOsiP6d3OHewDnPescv3sCxC9fw4FkYwqM+QUtdDTWqWGFYt/YwNfj559jCIEhJhW/gVQTdC0GsIAWmOuro27gmWthb5VnvytPXWH/mFp6HRyMmMRnllEvDUk8TPRvYw7WyqVT5pNQ0rD99C4F3nuH9p3iolFaEVUVtTP2zIUx01Itm5X5Aenoatqxfh6OHDyEqMhIV9Q3QvmNn/PlXlwLVFwgEWLtiGU6fCEJ8XByMTUzRrVcfNGnuJlFOKBTi8MH9OLRvD968fo1SCqVgZmGBrj16oY6Lq9R8P7x/hw1rVuHa5UuIi42Fmro6KlWphjmLpM9fP6Ik3Qe9ffsWrdzdc1zW/PnzJdq0fPlyrFi5UqqckpISrl+7VpBV/yECgQA+y1fi+IlTiI2Lg5mJCfr27oGWzaXvf78WFR0ND+9lOHfhYtZ2s8LwwQPhXMsp1zrJycno1L0nXr56jbEjh6N3j+7izx4+eoz9h/xx8/YdvHv/AcrKpWFlYYH+fXqh9lfXxp9FIBDAd9kyHD8eJNo+pqbo06cPWrZwy7duVHQ0PD29svcrKysMHzZUar86e+4cjh8PwuMnT/DixQukp6fj7u1b+c7/ypWrGDRkCADgzKmT0NDQ+L6VJJIRDGrlYufOndDX1y/uZlAhGjV1NoIfP8PoQb1hamiAgBNnMGHmAggzM+HerFGu9V69fYeAoNOwsTSHa21HHDl5NteyJ89fxr2Hj1HJygKKSop4+CSkKFblm4wZOxbBwcEYNWoUTExMcPTIEUyaNAnCzEy0atUq13qpqakYOHAg4uPjMeGff6CpqYmdO3di6LBhWLliBRwds28ibty4gWHDh8PVxQWeHh6Ijo6Gp5cXBg4ciO3btkFJKfvH4uYtW2BtbY2GDRviwIEDuS5/2/btWLBgATr88QdGjRqF8PBw+Pn5oU+fPti5cydUVVULZfsU1OjpC/HgSQjG9P8bJob6CDh1Hv/MWYpMYSZaN6mfa71Xbz8g4OR5VLIwhWvtmjhy6nyBluezfjuSklMKq/klVjktDbgM7IY3dx/h7oHjcBnQtbibVChGT5yCB48eYfTQwTA1NsKR40GYMPU/ZAqFcHfL/QdBamoq+g8fjfj4BEwcOxKaGhrYsWcfhowaj1W+HnCq4SBR3tBAH/P/k3zwUb58Oan5XrtxC8PGTkANeztMnTge6upq+PAhHI+ePiucFS4EI2d54MGz5xjbpwtMDfRw+MwljF/gC6EwE60b1cu13qv34Th8+iIqWZigvlN1BJy5nGvZ8Qt8ce76HQzt9geqWVvgzqNnWLH9AEJevoXfjJIR3PtWI+d448HTMIzt0xmm+no4fPYyxi9cDqFQiNZ5BATX7gmAtoYaBv3VBoZ6uvgQEYVVuw7jz1HTsWPJVFiZGP7EtSgcYzcGIvjNR4xq6QwTHXUcuf0Mk7YeR6ZQiFYO1rnWixUkw6KCJjrUqgKt8iqIE6Rg95UHGLEuAHO6NIV7TRtxWUFKKvqvOIiIuET0bVQDVhW1kJCcirsvPyA5Lf1nrOY3W7pgPoKOBqDvoCGoVKUqrl+5DJ+liyAQJKJHn9wf3n42deJ4PH4YjEHDRsDQ2AQnjgVi5pTJyMzMRLMWLcXl1q1agU1rV6Nth44YOGwkUlNTsG/XTkwaOwqzFixC/UZNxGWfh4Zg9OCBqGhggCEjx0BXVxdRUZG4diX34/d7lbT7IADo2rUrWrVsKTHN2Ng4x3b4+fmhfLns87qcnNz3bIZvNmbCZDx4+Aijhw+BibExjgQex8R/pyEzMxPueQRuUlNTMWDoCNF1bNwYaGpqYMfuvRg6cgxWLfOGY80aOdbzXbEKSUlJOX525NhxPAh+hD/atoa1lRWSkpKwe98BDBg6ArNnTEVb99y/x6IyZtx40X41coRovzoaiEmTJ0MozJT6br+UmpqKgYMGZ+1X47P2q10YOnwEVi5fDkfHmuKyp06dxr3791Gpkg2UFBXx8NGjfNslEAjw36xZ0NHRQURERKGs66+Iww9/Lb9MUEsoFCItLU3qovG97O3tC2U+JHryoqysXKxtOHflOi7fuI2FUyegVdOGAIBaNarjXfhHLFmxDi0a14eCgkKOdR2rV8P5QzsAAA8eP80zqPXfPyMhLy86Sc7x9Cv2oNb58+dx5coVzJ83Dy2zLrC1nJzw7v17LPXwgJubW67rvX//foSEhGDTxo2oXr06AMDJyQmdOneGh6cntm7ZIi671MMDxsbGWLx4MUqVEp1WDAwM0Kt3bxw4cACdO3cWl7186ZJ4Gx0+fDjHZaempsJv2TI0aNAA06dPF0+3MDdHz169sHHjRowYMeIHtsy3OXf1Ji7dvIuF/46Be2PR0+baDrZ4Hx6BJSs3oWXDernvP3ZVcGHfBgDAgychBQpq3Xv8DFsPHMGCyaMxdubiQluPkijq5RuM1bADAJTV0vglglrnLl7G5WvXsWDmdLRyE/XMquVYA+/eh2Opjx9aNG2c6/6y71AAQkKfY/Oa5bC3rSaqW9MBHf/uAw/f5di2bpVEeeXSpVHdtmqe7UlKTsak6TNRy7EGfJcskPhB1KZV/j0Vfoaz1+7g0u0HWDxxGNwb1gUA1K5eFe/CI7Fo7Xa0rF8HCrncgDpWq4RLO1cAAB48fZ5rUOvOo2cIungdEwd0R+8Ooh9AdR2qoZSCPDw27MLFW/dRr4ZtEaxd0Tl7/S4u3Q7G4n8Gi3u01a5eGe8+RmLRuh1o6Vo71+3mN30MtNQlHw44V6+Cpn3HYeOBY5g9Kv9gR0ly/tELXHn2GvO6NUPLrACWk6Uh3n+Kh8fhS3CrbgkF+Zy3hZu9Fdy+6s3lWsUE7vM2Y+/VYImglm/gVYR9jMbusV1gqKUmnt6wqlkRrNWPCwsNxZFDB9B/yDB07dELAOBQ0xGxsTHYvG4t2nXoCFU1tVzrX7l4ATeuXsHUWXPR1E10vqjh6ITwD++xwscTjZs1F5/PjvofhG11e4yb9D9xfcdazujQshkCAw6Lg1pCoRBzpk+FToUK8Fm1VuLevXGz/Hu5fIuSeB8EABX19GBnZ1egdahSufJP72lz/uIlXL56DfNn/4dWbs0BALUca+L9hw/w8PZFi2ZNc7+OHfQXXcfWrkJ1O9E51almDXTq1hNLfZZh24a1UnXuBwdj+649mDdrBsZP+lfq8z49/8b40SMlprnWq4u/evTGyjXrfnpQ6/z5C6L9au5ctGwpOi6y9ytPuDVvnvt+deCAaL/asD57v3J0RKe/usDDywtbN28Sl50+bar4nnnu/PkFCmp5entDVVUVri4uWL1mzY+uKpFMkNkQ5aRJk9C6dWucPXsWbdu2ha2tLU6ePAkAuH37Nnr27Al7e3vUrFkT48aNQ1RUlET9VatWoVmzZrC1tUWdOnXQu3dvvH79Wvy5jY0N1q6VPOn6+fmhXr16cHBwwPDhwxEdHS3x+Zs3b2BjY4PAwECJ6TNnzkTjxtlDjT5+/IjJkyejSZMmsLOzQ/PmzbF06VKkpqZ+83a4efMmunfvjpo1a8LBwQFt2rTB/v37xZ83btwYM2fOlKgTGBgIGxsbvHnzRjztw4cPGDRoEOzs7ODq6oo1a9Z8d7ttbGywatUqLFq0CPXq1UOdOnkPHfkZTp67BJUyZdC8oWT39z9aNsPHyCjce/Qk17ryudwE/2jZn+HUqVNQUVFBs2aSPUPat2uHiIgI3L9/P8+6pqam4gsuAJQqVQqt3d3x4MEDhIeHAwDCw8MRHByM1q1bi2/kAFFg2MTEBCdPnZKYb0G2UUhICOITEuDiIjm0r3r16lBTU8OJrGP9Zzlx4SpUyijDrUFdientWzTGx6ho3Huce2+Xb90nUtPSMHWRL7q2bYlqNpbf1V4qXqfOnoOKShk0b9JQYnr71q3wMSIS94Mf5lr35NlzMDUxFge0gKzjrkVz3A9+hPCP3/7U9fjJ04iIjELvv7v+tCf83+rE5euiY8xVcuhFh+YN8DHqE+7l8YCgoMfY7YdPAQD1newlpjesJer9FnSx6IfzFLYTl29mbbdaEtM7NHXFx6gY3HsSmmvdrwNaAKCrpYEKWpr4EBmdQ42S7dSDMKiUVkQzO8nzZjunSoiIS8T9V+HfND9FBQWUVy4tEQhLSk3D/msP0czOUiKgVZJdOHsaQqEQLVu3lZjesnVbpKQk4+rlS3nWP3fmNMqoqKBhE8mh0y1bt0VkRAQeBT8QT1NQKIVy5SR7ipYuXRpKSqUlAld3b99CyNMn6NSlW6E9jM5NSbwPkgUnT5+FiooKmjeRTJXQro276Dr2IDjXuqfOnIWpibE4oAWItpt7Szc8CH6I8I8fJcqnpaVh2sy56NLpT1StXDnHeX6dygIAFBQUUKWSDT6Ef8yhRtE6dfp01n4leVy0b9s2a796kEtNUe+rHPerVq1E+9UX2+db7yFv3bqFvXv3Yca0qbk+0CD6Fcl0T62PHz9izpw5GDJkCPT09FCxYkXcvn0bPXr0QIMGDeDh4YGkpCR4enpiyJAh2LVrFwDgwIED8PLywsiRI2Fvb4/4+HjcvHkTiYmJuS5ry5Yt8PLyQt++fVG3bl1cvHgRU6dO/a52f/r0Cerq6pg8eTJUVVXx4sUL+Pj4ICIiAvPmzSvwfBISEjBo0CDUrFkTS5cuhZKSEkJCQhAXF/dN7REKhRg6dCgiIyMxc+ZMlC9fHmvWrMG7d+8knjJ8S7s3bdoEBwcHzJ07F2lpad/UnqIQEvYS5iZGKFVK8qmJtYXoyWrI85dwqFalOJpWpEJCQ2FmZiZxkwUAVlaiJ9IhISG59koMCQ1FDQcHqemf64aGhqJChQoICRX9aLK2ks5ZYm1lhTt3735zuz/vM0qKilKfKSkp4dWrV0hJSUHp0qW/ed7fIyTsFcyNDVHqq6duNuYmAIBnYa/gULVSoSxr+ebdSEpOwYg+XfEp9tuOZSoZnoWGwdzUVOq4s7ayEH9ub5dzj6CQ0OeoYV9darq1pahu6PMwVNDVEU9//fYt6jVrhcREASrqVUDLZk0wsE8vKCtnHxs3b4uOwczMTPQcMBT3Hz5CmTLKcHGujfGjhkNXR/vHVrgQPHvxBhZG+lLHmLWZsfhzhyq5Dx8riLR00dAwJUXJ70Ux6zzzJOy1VJ2S7tnLN7AwqpjDdjMSf+5QJe98Ul96/f4j3kVEokmdnIcHlWShH6JgpquBUl/9kLOqqAUACPkQDXvTinnOIzNTiEyhENEJSdhz5QFeRsZglHv2g7lHbyKQlJoOY201zNl7BoF3Q5CUmgbriloY3LwW6ueQf6u4PX8eCnUNDWhpSx7nFlai4ynsed49ysNCQ2BiKn0fYWEp2q+eh4agmp3onNWxS1cs9/ZEwMEDqN+oMVJTU7B98yYkJCbgz7+ye+F+zgmkUlYFE0aPwO0b16GgoAD7GjUxZNQYmJgWXq+3knoftG79enj7+KBUqVKoVKkS+vTujYYNG+bYjo6dOiE6Ohrq6uqoW7cuhg8bhooV896Xf1TI8+cwNzWRvo5ZioLGIaHPYV89555mIaHPUcMhh+uYlaiu6DqmK56+Ys06JCUnYdjggfj0KabAbUxPT8etO3dhYf7ze0mGhITkvF9ZZ+1XoSGwz+FaLvosl/3K+ov96ovtU1DJycmY/t9M/N29GypXrowzZ3MfWUL0q5HpoFZsbCzWrFkj0X13ypQpqFatGnx9fcVPpK2srNCmTRucPXsWDRo0wL1792BjY4NBgwaJ6zVtmnvy3oyMDKxcuRLt2rXDxIkTAQCurq6IiIjIdfhUXmxsbMTzAYAaNWqgTJkymDRpEqZNm4YyZcoUaD5hYWGIj4/H2LFjYWMj6hr/Pb2izp07h+DgYGzdulWcH6B27dqoX78+1NXVv6vd6urq8Pb2LjG9AmLi4mCoL30DoKZaXvz5rygmJgaGhtJ5UdSyhhrExsbmWTenIQlf142NiZGY/iVVNTXEZH3+LUxNTSEvL487d++iffv24umvX78W5weIi4uDjo5OLnMoXDFx8TDUryA1XS0rd1FsXHyhLOdRSBjW7TyAZbMnQ6WMMoNaMio2NhaGBtI5GT+fb/I87mLjoJZDvjhVNVXx5585VLdDi6aNYWZiguSUFFy4fAXrN2/Drbv3sM7PW/yE92PWMTNm0hR0bN8Wwwf1x4tXr+GzYjX6DB6BPVvXo0wxDxGPiU+AkZ70Tbxa+bJZn//4MWZhbAAAuPXwKQy/WNatYFFP3Zi4hB9exs8WE5fbdhOdm2LiC75O6RkZmOK1FirKyujVvnCHgP0MMYJkGGrmcM1SEe3bsYLkfOcxfO1hXHr6CgBQTlkJC7u7SQSqPsaJHn5uOHMblnpamN2lCeTk5LD57B2MWh+AZf3aoK5NznmRiktcbCxUVaW3S5kyZaCoqIi4PM5Hn+vrGxhITf98Tvqyfqeu3VG6dGl4LpqPhXNEowRUVdUwb4knbKvbi8tFZvVEmT/zPzRs0hTzl3ohKioSa1f4YcTAfli/bSe0tAvn+l7S7oOUlJTwZ4cOcHZ2hraODj68f4/tO3Zg1OjRmD5tGjp06CAua2hkhBHDh6NSpUpQKl0aDx48wIYNG3D58mVs37YNFSpI35cUltjYWBjkkFtYTXwtyus6FpvjdezztC/rPn7yFOs3bYHP0kVQKVPmm4Jay1evxavXb+C1eEGB6xSWmNhYGBpKHxef1zE2Jp/9Ko/tk1fdvCzzW47MzEwMGTz4u+r/buRK2Oga+jEyHdTS0NCQCGglJSXh1q1bmDBhAjIyMsTTzczMoKOjg/v376NBgwaoUqUKtm3bhnnz5qFZs2aoXr26+EltTj58+ICPHz9KdV12c3P7rqCWUCjExo0bsWvXLrx58wYpKdnJoF+/fg1r64I9jTY2Nka5cuUwY8YM9OjRA87OztDMoXtufu7fvw9VVVWJhJflypVD7dq18eRJ9rC8b2m3q6triQlofZZXa0paWwtTnuuWz3p/U91cyn7PtlVTU0OrVq3g7++PqlWronmzZggPD8fMWbOgoKCAjIyMnz7UUy6vPagQ9p/0jAxMXeSLlg3rwcVJ+gkeyZgfOu4K9tnIwQMkPqtfrw4MKlbEYu9lOH3uApo0FL3AIDNTCABo0bQJxg4XvQ2plmMNaGtpYtSE/+HIsSD82a5Nnm36GfJe7x8/xlwd7WGsXwFL1u2AlroabK3NcfdxCDw37oKCvDzk5WXzOpDndsvzypdNKBRiitda3Ax+Cq//jUBFHa1Cat3Plfe2yN/E9q6IT05BZJwAAbeeYMLWY5j1VxNxjq5MoehYUlSQx7J+rVFWWTR0zsnCAG0XbMWqEzeKNaiVni6ZqF7c2/5H95E8NuyXx+YR/4PwWboYf3T6C7Xr1EVaejqOHTmMf8ePwawFi1GrjmgIf6YwEwBQ1dYWE6Zkv+jCzMIS/f/uiv27d6H/kGH5t6uAStJ9kI6OjuRbzR0c0KxZM/zdowe8vL3Rtm1bce+fNq1bS8ynlpMTnBwd0bNXL2zYsEHiQXNRyGvd8z0nF6Bueno6ps2agxbNmqJenbzf1vq1vQcOYfW6DejZvSsaNcj9ZT1F6UfuC39kn8zJ/QcPsHXbNvj5+hZ7HmOi4iDTIUotLcmbrri4OGRkZGDevHmoWrWqxN/Hjx/x/v17AECHDh0wefJkXLhwAd27d0edOnUwe/ZsJCfn/BTvc8+QrwNGXy+/oDZu3IgFCxagSZMm8PPzw+7du8UXuC8DRflRU1PD+vXrUbZsWUyYMAH16tVDjx49JAJRBfHx48ccg2Ffr9+3tPt7t01RUVdVRUwOvWk+97BRK1/+Zzfpp1BXV8+xp9Tnp4s5PUn7sm5sAeqqZfXmy6lsXGxsjk8uC+Lff/+Fm5sb5s6di/oNGuCvLl1gZmoKV1dXKCkpffd8v4e6avmc95+sXhBqObxt7ltt3uuPN+/DMaRnZ8QlJCIuIREJiQIAQEpqGuISEiWC9VRyqampITaHXnbi801ex52aqkRvrM/isqblVRcA3FuIEvre/SLfiXrWk/V6zpJ5l+o514KcnBwePXma5zx/BvXy5XLsKRUbL+oZo1bux48xJcVSWDVrAirqaKH/v/NRu9NAjJ7jhYF/tYVqubLQ1ZK9V56rq5bLsTdW9rmpbL7zEAW01sH/9CXMHdNfJoceAoC6ijJicuiN9bmHlqpK/j/0THTUUc2oAhpWNcOiHi1Q29IQ8/afEweG1bPmUd1ETxzQAoAySoqoaa6Px2+L701j79+9Q5O6tST+7ty6CVU1tRx7YyUlJSEtLQ3l1fI+p+RW//M5qXzWOSk+Lg6eCxfAvV17DB01BjVr1YZz3XqYPnseKlWpiiXz54rrqqmpAwCcnCVHF1hZ20BLWxtPnzz+pnXPiyzcBykqKsLNzQ0xMTF49epVnmVtbW1hYmKCe3nkAisMouuY9PceW4BrkXpudeMk627ZvhNv377D4AF9ERcfj7j4eHEqmNTUVMTFx+d433Pg0GHMmrcAHf9oh3Gjft5Lg76krqaWY2818TrmcVypq6vnvX3yOSZzMn3Gf2jSuDGqVK0i3pYpKaKcx4mJiXmm2CH6Fch0T62vo9zly5eHnJwcBg0alONwws9vDpGXl0evXr3Qq1cvhIeHIyAgAEuWLIGGhgaGDZN+MvR5iNPXieG/Tj7/Ob/P1zmkvj5xBQYGonHjxhg3Lvv14aGhuSdzzYudnR3WrFmD5ORkXL16FQsWLMCwYcNw4sQJAKJuzvm1R1dXV2rdAOn1+5Z2l7SeT1bmpjhy8izS0zMk8mo9ff4CAGCZlRvpV2NlaYmjgYFIT0+XGPf/LESUQ8PSMvdE5JaWluJyX/q6rqWFhXi6q6urVFmLrM+/lUqZMpg7Zw4mTZyIDx8+QEdHBxoaGmjXvj2qV68ulcegKFmZm+DIqfNIz8iQyF3z9Lno5tPK7MefzD8Le434RAFa9ZQ+B/ms3w6f9duxZ+USVLYsmW/YomxWFuY4GnQih+MuNOvz3L9DKwsLPAt9LjX9adY0SwvzArVB/otzsLWlBY4G5f5yBTm54n++ZW1qhICzl6WPsaw8V1am0sOHvoeJvh52ePyH8MhoxMYnwKhiBcQLBJi7YjMcqxVOXryfydrEEAHnrkpvtxeiF8FYmeS93T4HtPafOI/Zo/qibeN6RdreomRZUQuBd54hPSNTIq9WyAfR/Y2l3rf3ZK9qpIuLT17hU2IStMqriPNz5aY4b320dXSwcsMWiWnGJiYwt7DEqePHEBUZKZFX63mI6AUnZuZ5v5DE3NISJ48fkzqfPQ8V3QuYW4jqv3r5AikpyahUWfptrDaVq+DOrZsQCARQUVGBuWXued6EQsnz14+SlfsgYVYvwIL0QhcKhUXeW93KwgJHjwdJb7es+/68rkVWlhbi692XPk/7XDck9DniExLQukNnqbK+K1bBd8Uq7NqyEZVsskeCHDh0GDPmzENb95aYOnlisf3esLKyxNFA6ePi2bOsfcMiv/1K+gVDBambm9DQUISGhuJ4UJDUZ+5t2sLG2hq7du745vkSyYriv5MtRCoqKrC3t8fz589ha2sr9ZfTmPoKFSqgb9++sLGxwfPn0j8kAEBPTw86OjoI+upEcezYMYl/a2lpQVFRUSLQk5qaihs3bkiUS05Olhru6O/v/03r+jVlZWU0aNAAXbt2lRgaqKenJxV4unjxosS/bW1tERcXh+vXr4unJSQk4OrVq0Xe7p+liWsdCJKSEHTugsT0Q4EnoKutBbvKNrnUlG2NGzeGQCCQelugv78/dHR0YGub++vrmzRujLCwMImngenp6QgICICtrS10s5JYVqhQAdWqVUNAQIDEE7V79+7hxYsXaNKkyQ+tg6qqKqytraGhoYEzZ87gxYsX6N6t2w/N81s1rVcbgqRkBJ27LDH94PHT0NXShF2lgidizk3/rn9g/ZKZEn+L/h0LAPirjRvWL5kJYwO9H14OFb0mDetDIEjCidOSSVoPHgmEro42bKvm/lKKJg1dEfbiJe590dMqPT0dAYHHYVe1Sr5J3Q8dOQoAsKuW/cOyccP6kJOTw/lLVyTKXrh8FUKhEHYl4CUZTes6QpCUjOMXJN9AePDkOehqacCukN8EWkFbE9ZmxiijXBrr9gRARbk0Oro1LNRl/AxN69YUbbeLkvcZB09egK6WOuxscv8xLRQKMdVbFNCaMbw3OjQrniE8haVxNXMIUtJw8r7kPY//jcfQUS0LW+Nvyz8kFApx8/k7lC9TWpyXS0e1LOxM9HDnxQckJGe/+TkpNQ03n7+FnXHxnaMVFRVRqUoViT+VsmXhUr8h5OTkcCxAMl1G4GF/lC6tjNp16uYyRxHXho2RJBDg3GnJ+4jAAH9o6+igclXRm1q1sx4ABz+Q7EEkFArx8MF9lFdVFederV23HpSVlaXevPj08SNER0WiSrWcE5B/D1m4D0pLS8OxY8egoaEBIyOjPMveu3cPr169gl0e7S4MjRs2EG23U2ckph86fER0HasmHbz8sm5O17HDR4/BtlpV6GbtK/1698DaFcsk/hZk5WLr9OcfWLtiGYyNsn+7HfQPwIw58+De0g0zpvyvWB+gN26U335VLZeaQJNGjRAW9kJ6vzpyBLa21aCr++355NasXiX117aNKK2A59KlmP7lkFcCAMgpyMvsH0mT6Z5aOZkwYQJ69eqF0aNHw93dHaqqqvjw4QMuXbqEDh06oHbt2pg2bRpUVVVhb28PVVVV3Lp1C48fP0bXrl1znKeCggIGDhyIOXPmQEtLC/Xq1cOFCxckgkCA6OlKs2bNsHXrVpiYmEBDQwObN2+WOunWrVsXmzZtwpYtW2Bqagp/f3+8fPnym9f1zJkz2LNnD5o2bQp9fX1ERkZiy5YtqFGjhrjXmJubG2bMmAFfX184ODjgzJkzUq8vrl+/PqpWrYpx48Zh7NixUFVVxerVq8U93wq73cXB1dkJdRwdMGvpMiQmJsHYoCKOnDyLC9duYv6Uf8R5J6Yu8MShYydwdNta6Otl3wAfPyMKhr15JxrCGvzkGVSybs6aN3QRl3v3IRwPHouevrx++16irr6eLqpV+rG3d30rFxcXODs7Y86cOUhMSICRsTECjx7FxYsXMXfOHPF6T58xA/7+/jjs7w/9rMSg7du3x46dO/HPP/9g1MiR0NTUxM5du/Dy5UusXLFCYjmjR43C4CFDMP6ff/BX586Ijo6Gl7c3LC0t0b5dO4myN27cwKdPnwCI3sb27v17ccC4Zs2a4qGwJ06cwMeICJibmSElKzi8bds2dOrUCY0aNSrS7fY119o1ULdmdcz0WoUEQRKM9fVw5PQFXLh+Gwsmj8refxYtw8HjpxG4xQ/6FbKTNx87K7pxf/Ne9Prv4KehUCkj+pHk1kD0g8Lc2BDmxpKB97cfRMl0jfQroJZ97jdIsq5qi4YoXbYMSmcN46xYxRI1/mwJALh/5DTSkvJP8FySuNZ1Rp1aTpi1cAkSEhNhbGiII8dP4OLlq5j331Tx/jJt9nwcOhKII3t3QL+i6MfwH23csWPPfoz73zSMHjYYmhoa2Ll3P168fIVVvh7iZdy8fRerN2xC4wb1YWigj9TUVFy4fAV7DvijtmMNNHTN7nFjbmqCLh3/wM69B1C2rApc6jjj5avX8Fm5GpVtrNCiqeQr24tDfSd71HWohpm+65EgSIKJfgUEnLmM8zfuYeE/Q8WvJv/XYxUOnjiPY+uWwqBC9o3/sfOihzCvs46ZB8/CoJKVV8TNtba43Jrd/tDWUIe+rhYiP8Ui8PxVnLx8AwvGD0EF7W/vyVPc6jtWR12Hqpi5bKNou1WsgICzl3H+5n0sHD8oe7t5rsXBkxdwbO0iGOiKAqNzVmzB3uPn0KFZfVibGuLO4+weKUqKiqhiIVs9mF0qmcDZyghz9p1FQkoqjLXUcPTOM1x88gpzujaFQlbPlhm7TsH/5mP4T/ob+hqiYT6j1wfAWl8bNvraUFNRRkRcIg7deIybz99h8h/1JXp+jW1dFwNWHMDQ1YfQu1ENyAHYfO4OPiUmY6hb7ZyaVqzMLCzQqm17rF+9AvIK8qhUpSquX7kM/wP70G/wUIlE6BvWrMKmtauxdNkK2NeoCQBwrlsPjrWdsXTBPCQmJsLA0Agnjwfi2uVLmDJztvh8VkGvIuo3aozDB/ZBSUkRznVdkJqWimMBh3H/7h30GzRUfE9Zvnx59B00BH5eHpj333Q0ae6G6KgorF25HBX09NC+Y6dCW/+Sdh+0aPFipKenw97eHtpaWvgQHo7t27fjyZMnmPnffxJvHe/UuTPcW7WCmbk5SispiRLFb9wILS0t9O7du9C2UU5c69VBndq1MHvBQtF1zMgQR48F4eLlK5g3c0b2dps1B4cCjiJg/27oZ72R8Y+2rbFj916Mn/QvRg0fAi0NDezcsw8vX77EqmXe4mWYmZrCzNRUYrlvs+6zjQwM4FQzeyj08RMnMX32XNhYW6HTH+1xP/ihRL3KNtZQUlLCz+LiUk+0X80VHRdGRkYIDAzExUuXMHfO7C/2q//gf/gwDh86+MV+1Q47du3CPxMmYtTIEdDU0MTO3Vn71fLlEst59+4dgrPW9c1rUQ/coCDRaBx9fX1UzXpI5vRFXuTPPneqsLevLh6tRPSr+uWCWjVq1MC2bdvg4+ODyZMnIy0tDXp6enB2doaJiegGzcHBAbt27cLu3buRlJQEIyMjTJ48GZ065X4R7dGjB+Li4rBt2zZs374dderUwcyZMyXeoAgAU6dOxdSpUzF79myULVsW/fv3h4mJCc6cOSMuM2zYMHz69Ane3qITu5ubG6ZMmYLB3/i2CmNjY8jLy8PT0xORkZHQ0NCAi4sLxo4dKy7TqVMnvHr1Ctu3b8eGDRvQqlUrjBo1SiK5pJycHPz8/DBt2jRxwK9nz5549uwZnj3L7h5bWO0uLl6zpsBrzUb4rtuM2Ph4mBkbYeG0iWjVpIG4TGZmJjIyMpHVC1xs7PS5Ev/evv8wtu8XPfV8cPaIePq12/cwZb5HjnXbtWiKOZPH4mfzWLoUPj4+8Fu+HLGxsTAzM8P8+fPRskULcZnMjAxkZGSIu78DoqGrq1etgoeHB+YvWIDk5GTY2Nhgma+vxEsFAMDJyQm+WcsYOWoUlJWVUd/VFWPGjpW6yVi+fDlu3Lwp/veNGzfEF941q1eLg1ry8vI4cOAAXr16BaFQCAtzc0yZMkUqSPazeP43Ad5rt8F3w3bExifAzMgAi/4di1aNs4OaGZmZyMjMYf+ZuVji39sPHsX2g6IeNcEn9xV520u6bstnQ+uL4WU1O7dGzc6iBLn/mrog6uWb4mrad/NcMBvey1dj2aq1iI2Lh5mJMRbOmo6WzbOHxmdk5nLc+XrCw3c55i32RHJKMmysrODnuRhONbJfIKCjrQV5eXmsXLcRMbGxkJMDjI0MMWxgX/Tq1kVqaMrEMSNRQVcX+w4exrZde6GhroaWzZpg5JCBeb4o5WfynjoGXht3wWfzXsTGJ8DcSB+LJw6He8PsvDuZWcfY10bP9Zb49zb/IGzzFwXLHx3dKp6ekpqG5dv240NkNJRLK6J6JUtsXDBFJocefub970h4bdoDny37EBufCHOjilg8YQjcG2QnXhZvty/2tdPX7gAA9gWdw76gcxLz1NfVxsn1S35K+wvT0l4t4BN4FcuPXUOsIBlmuhqY3705Wthn96bNyBQiI1MocZ6ubloRJ+6HYsfF+0hMSUV55dKoYqgL777uEm8/BAB704pYNagdfAOv4n/bRPuYnUkFrBncHtVNS2Zv2rETJ0FHRwf7du1AdFQU9CrqY8TYf/DnX10kygkzM6XOSQAwa8FirFm+DOtWrkB8XCyMTUwxbfY8NGku+ZbMKTPnYP/unTh+JABH/A+hlEIpGBobY8rM2Wjq1lKi7F/de6Bs2XLYs3M7Th4PhIpKWdSqUwcDh43M8Y2DP6Ik3QdZWlpiz549OHr0KBITE6GiooJq1aphuZ8f6taV7DVnbm6OvXv3IiIyEmlpadDV0UGLFi0waODAn/L2Z4+F8+DttxJ+K1cjNi4OZqYmWDBnJlo2z35xVkbG530mu56SkhLW+PlgqY8v5i9eKtpu1tbw81oKxy8CVd/i3IVLyMzMxKPHT9Cz/yCpz48e3AeDHN5yXpQ8liyGj+8y+C1fIdqvTE0xf948tGyRfVxkfj6mvqinpKSE1StXwMPTC/MXLBRvn2U+PnB0rCmxjOs3bmDa9BkS08ZPmAAAaNumDWbN/K+oVo9IpsgJv75yEUE0bLJly5aoVasW5s2bVyxtSPvwfXnGfhcZatKvWiZJpaJyHlJMIsON3Iu7CSWa96dr+Rf6zZWKzjup8W8vMz3/Mr+xlIc8xvIT26BfcTehRFNX4lCcvMilJRV3E0o8YanSxd2EEk1ZJf8XjsiihK0zi7sJ361cdw4n/dov11OLvs/OnTuRmZkJMzMzxMXFYfv27Xj//j26/eTcRUREREREREREBcGgFgEQvblx9erVePNGNMynUqVKWLlyZZ4JNImIiIiIiIiIiguDWgRAlAyzffv2xd0MIiIiIiIiIqICYVCLiIiIiIiIiH4LcvLMx/cr4bdJREREREREREQyh0EtIiIiIiIiIiKSORx+SERERERERES/BTl5heJuAhUi9tQiIiIiIiIiIiKZw6AWERERERERERHJHAa1iIiIiIiIiIhI5jCnFhERERERERH9HphT65fCnlpERERERERERCRzGNQiIiIiIiIiIiKZw6AWERERERERERHJHObUIiIiIiIiIqLfgzz79vxK+G0SEREREREREZHMYVCLiIiIiIiIiIhkDocfEhEREREREdFvQU5BobibQIWIPbWIiIiIiIiIiEjmMKhFREREREREREQyh0EtIiIiIiIiIiKSOcypRURERERERES/B3nm1PqVsKcWERERERERERHJHAa1iIiIiIiIiIhI5jCoRUREREREREREMoc5tYiIiIiIiIjo98CcWr8U9tQiIiIiIiIiIiKZw6AWERERERERERHJHA4/JCIiIiIiIqLfgpw8+/b8SvhtEhERERERERGRzGFQi4iIiIiIiIiIZA6DWkREREREREREJHOYU4uIiIiIiIiIfg/yCsXdAipEDGpRyaWgWNwtKNHkU+KLuwklnrwgpribUKJ5f7pW3E0o0UZq1CruJpR4noJHxd2EEk0+NbG4m1Cila5S3C0o+R5GCIq7CSWa892Nxd2EEi3YqV9xN6HE01bJLO4mlGhmKsXdAqL8cfghERERERERERHJHPbUIiIiIiIiIqLfA4cf/lLYU4uIiIiIiIiIiGQOg1pERERERERERCRzGNQiIiIiIiIiIiKZw5xaRERERERERPRbkJNn355fCb9NIiIiIiIiIiKSOQxqERERERERERGRzGFQi4iIiIiIiIiIZA5zahERERERERHR70FeobhbQIWIPbWIiIiIiIiIiEjmMKhFREREREREREQyh8MPiYiIiIiIiOj3wOGHvxT21CIiIiIiIiIiIpnDoBYREREREREREckcBrWIiIiIiIiIiEjmMKcWEREREREREf0W5BSYU+tXwp5aREREREREREQkcxjUIiIiIiIiIiIimcPhh0RERERERET0e5Bn355fCb9NIiIiIiIiIiKSOQxqERERERERERGRzGFQi4iIiIiIiIiIZA5zahERERERERHR70FeobhbQIWIPbWIiIiIiIiIiEjmMKhFREREREREREQyh0EtIiIiIiIiIiKSOcypRURERERERES/BTnm1PqlsKcWERERERERERHJHAa1iIiIiIiIiIhI5nD4YTF48+YNmjRpAi8vL7Ro0SLXcvv27cPkyZNx+fJlaGpq/vByr169ip49e2LPnj2wtbXNtdzatWuxcOFCPHny5IeXWRwEgiR4r16PY6fOIjY+HmbGRuj3dxe0atoo37pRnz5hqd9qnL10FcnJKbCxNMeIAb3h7FhDolxaWhpWbtwK/2MnER4RCR0tTbRq1hhD+vwN5dKlc53/5eu3MGDMRADA+cN7oKGu9mMr+50EAgF8VqzBsZOnEBsXDzMTY/Tr2R0tmzfNt25U9Ccs9fXDuQuXkZycDGsrS4wY3B/OTo7Sy0lKwrpNWxEYdBLvPoRDpUwZWFtaYPrkf2BibCQu571iNZ48fYbHT5/hY0Qk2rq3wJxp/xbqOheVxKRkeG3Zh8AL1xEbnwhzw4ro37EV3OvXzrPe8Us3cezidTx49gLhUZ+gpa6KGpWtMKxbO5jqV/hJrf8+P2P/6TNkBG7cuiNVv55zLazwWiI1/Vnocyxfsx43bt1GQqIAOtpacK3rjCkTxn33epYEpcuVhfvUETC0rwIjh6oor6OFwzM8cfg/z+JuWoEJBAL4+vrieFAQYmNjYWZqij59+6JlHte/z6Kio+Hp4YFz58+L9hdrawwfNgy1a0sfX1euXMEyPz88ffoUysrKqO/qitFjxkDri+vn27dv0crdPcdlzZ8/X6pNQqEQBw8exK7duxEaGgoFBQUYGRlh8KBBaNQo/2vK9xIdY6tw7MQXx1ivHgU/xnyW4dyFS18cYwPhXEv6HP1ZcnIKOnbvhZevX2PcyGHo/Xc38Wd+q9Zi+Zp1udZdOPu/ArWruCQmJcNr814Enr+WfY7u5A73Bs551jt+8QaOXbiGB8/Css7RaqhRxQrDurWHqYHeT2p90clIT8fRXZtwOegI4qKjoKVXEQ3cO6BR24751n189yaunT6G548e4FPER5QpVw4mlpXQqmtvmFhVkig7xN0l1/lUMDTGjJXbfnhdCpMgJQ3Lgm7g+P3niEtKgamOGvrUt0eL6hZ51rsS8hYbzt1FaPgnxAqSUU5ZCZYVNNDD1Q6uNsbicu8+xcN90Y5c51PXyhDL+rQstPUpSunp6Ti0fQPOHTuMmOgo6Ojpo1nbP9G8fed86wbfvoGLJwPx7OF9REeEQ6VseZhZV8Iff/eDmXX2PpSZkYHA/Ttx/+Y1vHkRisT4OGjr6qFG3fpo06UnypYrX5Sr+EPS09OxY9M6HA/wx6eoSFSoqI82HTqhXacu+dYVJCZi24Y1eP7sKUKfPUFsTAy69x2AHv0GSZU9sHsHzhwPxLu3r5EkEEBdUxNVqtmha+/+MDXPe7/9rcmzb8+vhEGt30jVqlWxc+dOWFj82ie4Uf/OQPCjpxg9uB9MjQ0REHQKE2bMhTBTCPfmjXOtl5qaiv6jJiAuIRGTRg2FpoY6duw7hMHj/ofVngvg5FBdXPafGXNx/vI1DO7zN6pVssHd4IdYuXEbQsNewHfBrBznLxAkYcZCD+hqa+FjZFShr/e3GD1xCh48eoTRQwfD1NgIR44HYcLU/5ApFMLdrVmu9VJTU9F/+GjExydg4tiR0NTQwI49+zBk1His8vWAUw0HcVmBQIC+Q0chIjISfXt2h7WlBRISEnHn/gMkJ6dIzHfL9l2wsrRAQ9d62O9/pMjWuyiMnLsMD56FYWyvjjA1qIDDZ69i/KKVEGYK0bph7j+a1u49Am0NNQzq7A7DCrr4EBmNVbsP48/RM7Bj0RRYmRj8xLX4Nj9j/wEAQwN9zP9vmsS08uXLSc332o1bGDZ2AmrY22HqxPFQV1fDhw/hePT0WeGscDEqp6UBl4Hd8ObuI9w9cBwuA7oWd5O+2ZixYxEcHIxRo0bBxMQER48cwaRJkyDMzESrVq1yrZeamoqBAwciPj4eE/75B5qamti5cyeGDhuGlStWwNExO0hz48YNDBs+HK4uLvD08EB0dDQ8vbwwcOBAbN+2DUpKShLz7tq1K1q1lPzhaGxsjK/NnjMHhw4dwt9//41RI0ciPSMDIc+eITk5+Qe3St5GT/wfHjx8jNHDso6xY0GYMGU6MjMz4d6iea71UlNT0X/YSNExNm6U6BjbvQ9DRo3FqmVeUsfYZ74rVyMpOSnHzzq0a4N6daSDiDPmLsCbN29z/KwkGTnHGw+ehmFsn84w1dfD4bOXMX7hcgiFQrRuWCfXemv3BIjO0X+1gaGeLj5ERGHVrsP4c9R07FgyFVYmhj9xLQrfdr8luHrqGNr06A9Tq0p4eOsadq/yQnKSAC3/6pln3fMB+5EQH4dGbTuhorEpEmJjcGL/DiwcNwgjZi1Fpeo1xWX/WbJCqv6LJw+xe5U37OvUL/T1+lHjtgYh+E0ERrrVgom2Go7eDcHknacgFArR0t4y13qxgmRY6GrgD0cbaJVTQVxSMvZce4SRG49hdqeGcHewAgBol1fBxsFtpeqffvgSG87dRaMqpkW1aoVug/dCXDwRiD97D4S5TWXcv3EVm/08kCQQoF233nnWPem/DwnxsXD7ozMMjM0QHxuDI3u2YcbIfpgwzwtVHUTn99TUFOzbvAZ1GjVHo5ZtUU5NDS+ePcHBbRtw+8oFzFq2HkqllX/C2n4738XzcfLYEfTsPxjWlavg5tUrWOG1BEkCAbr06ptn3bi4WBw9tB/mltao49oQgf4Hci0bHxsLxzp1YW5pjXLly+PDu7fYuXkDRg/sDZ+1m2FkYlq4K0YyLSwsDLNnz8bNmzdRpkwZuLu7Y/z48VBWzv04SkhIwPr163Hu3DmEhYWhVKlSqFq1KsaOHYuqVatKlLWxsZGqr62tjYsXLxb6unyJQa3fQEZGBjIzM1GuXDnY29sXd3OK1LnLV3H5+i0snD4ZrZqJAli1atjj3YdwLPFbhRZNGkBBIefEgPsOB+LZ8xfYssIL9tWqiOo62OPP3oOw1G8Ntq/2AQDcffAQJ85ewD/DB6FXF9ETzTpONaCgoACvletw6fpN1HWqKTV/jxVroFq+HOrXqY2VG7cWxeoXyLmLl3H52nUsmDkdrdxET9drOdbAu/fhWOrjhxZNG+e+jQ4FICT0OTavWQ5722qiujUd0PHvPvDwXY5t61aJy/qsWIPnL15i79YNMDLQF09vVF/6qe2V08cgn/XExP/o8UJb16J29sY9XLoTjMXjB4qf+te2q4x3H6OwaP0utHStBQWFnJ8E+U0dBS11VYlpznaV0LT/BGw8eByzR/Yp8vZ/j5+1/wCAcunSqG5bNadZiSUlJ2PS9Jmo5VgDvksWQE5OTvxZm1b59wQq6aJevsFYDTsAQFktDZkLap0/fx5XrlzB/Hnz0DIriFTLyQnv3r/HUg8PuLm55bq/7N+/HyEhIdi0cSOqVxc9VHByckKnzp3h4emJrVu2iMsu9fCAsbExFi9ejFKlRLc2BgYG6NW7Nw4cOIDOnSV7DlTU04OdnV2ebT916hT27NmDhQsWwM3NTTy9Xt26374hvsG5i5dw+ep1LJg1A62ygsS1HGvi3YcPWOqzDC2aNcnjGDucdYythL3d52OsBjp27wUPHz9sW79aqs794IfYtmsP5s+cjnGTp0h9rldBF3oVdCWmvX33HqHPw+DeojlUy5fcnhJnr9/FpdvBWPzPYLhnBbBqV6+Mdx8jsWjdDrR0rZ37OXr6GOlzdPUqaNp3HDYeOIbZo/oVefuLyruXz3Hp+GG07TkQzf8U9cqztquBxLhYHN25EfVbtUfZ8qq51v9r6DioqmtITKtSszam9++CwJ2bJIJa5pWqSdW/cPQQ5OTkULd560Jao8Jx/skrXAl5i7l/NULL6qIAlpOFPt7HJMAj8Cqa25lDIZfeHW52FnCzk3xo7FrJBK0X7cDe64/FQS2lUgqwM5buje1z7DqUFUvl2yOspHjz4jnOBvqjU5/BaN35bwBAleo1kRAXi4Pb1qNJ6z9QTjX30Qi9RoyHmobkKBQ7J2eM69URh7ZvEAe1lJRKw2PzfpT/Yl5VqteEtq4evGf9D9fOn4ZL05LXs+3F81AcO3wQvQYORafuoiBx9RqOiI+LxfaNa+H+x58S6/S1CnoVsSfwNOTk5BAbE5NnUKtHf8neW3YONVGpqi0Gdu+E08cD0XPA4EJZJ5J9cXFx6NWrF/T19eHt7Y3o6GjMmzcPMTExWLx4ca713r17h507d+LPP//EyJEjkZ6ejk2bNqFLly7YsWOHVGCrR48eaN06+/yuqKhYZOv0GfvdFaHbt2+jb9++qFGjBhwcHNCpUyeJKGVKSgpmzpwJJycnuLi4YMGCBUhPT89znjExMfj333/h7OwMOzs7dOzYERcuXJAo06NHDwwaNAj79++Hm5sbbG1t8ejRI1y9ehU2Nja4f/++uGxCQgImTJgABwcHODs7Y+HChcjIyJBablxcHGbMmAEXFxdUq1YNHTp0kFruzZs30b17d9SsWRMODg5o06YN9u/f/z2b7rudPHcRKmXKoHmjBhLT/2jlho+RUbj38HGudU+cuwgzYyNxQAsASpVSQGu3Jrj/6DHCIyIBALfvBwMAXOvUkqjfoK4oqBF05rzUvG/evY/dh47gv4ljxcGb4nLq7DmoqJRB8yYNJaa3b90KHyMicT/4Ya51T549B1MTY3FAAgBKlSqF1i2a437wI4R/jAAgCjTsPXQYzRs3lAho5aa4t8n3OnH5FlTKlIabi5PE9A5N6+FjdAzuPX2ea92vfywBgK6WBipoaeBDZHSht7Ww/Iz951scP3kaEZFR6P13V4mAFpUMp06dgoqKCpo1k+zB175dO0REREhcj3Kqa2pqKg5oAVn7i7s7Hjx4gPDwcABAeHg4goOD0bp1a3FACwDs7e1hYmKCk6dOfVfbt27bBn19fYmA1s9w6sznY0xyeGP71u75H2NnzoqOMbuvjrGWbrgf/FDqGEtLS8O0WXPRpWMHVK1c6evZ5Wq//2EIhUJ0aNemwHWKw4nLN6FSRhlurpLX6w5NXfExKgb3noTmWjf3c7RmiT5HF8Tdy+chFApRp6lkT8k6zdyRlpKC4JtX8qz/dUALAJTLqEDP2BSfIj/mWTdZIMCtC6dhVc0euvolq7fb6eAXUFFSRLNq5hLT29a0RkScAPdff9s1SlFBHuWVlVBKPu9r0+uoONx88R7Nbc1RTlkpz7Ilxc2LZyEUClHfTTIwWd+tNVJTUnDvRt770NcBLUC0DxmYmCEqInsfkldQyDH4Y15JdK8eHZH3/lZcLp8/A6FQiObukufIZu5tkJKSghtXLudZX05O7ofuadSyjtHcHoDQ72nHjh2Ii4uDn58f6tevj/bt22PKlCnw9/dHaGju10NDQ0MEBQVhzJgxcHV1RaNGjbBixQqoqalhyxcPGD+rWLEi7O3txX9fB72Kgmz+kpQBN2/eRI8ePZCamorZs2fDx8cHTZo0wbt378RlPD09IS8vD09PT/z1119Yt24ddu/enes8MzIyMGDAAJw4cQJjxoyBj48PtLW1MXDgQFy5InnxePDgAdatW4dRo0Zh1apVqFixYo7z/N///oegoCCMHz8eCxYsQEhIiNTOmZqaij59+uDMmTMYPXo0li9fDgsLCwwaNEicdyshIQGDBg1CuXLlsHTpUvj5+aFz586Ii4v73k34XUKev4C5qTFKlZI8iVtbmIs/z7Vu2AtYW5hJTRfXDRPVTcsKPCp9FXX+/O+noWES05NTUjBt3hL06NwBVWysCr4yReRZaBjMTU0lfvwBgLWVhfjz3ISEPoe1pfRTxM/TQp+L6j589ARJSUkwMTbErAWLUbdpSzjUa4S/evXHuQuXCmtVit2zl29hYaiPUl/dNFibGmV9/uab5vf6w0e8i4iCpXHJHXr4M/afz16/fYt6zVrBvm5DtOzwF7yXr5Iaunrz9l0AQGZmJnoOGAqHeo1Qt2lLTJgyAx+zAtFUfEJCQ2FmZia1v1hZic6FISEheda1tpI+Z36u+/kGLCTrvzmVtbayyvFGbd369ajp6Ijazs7o1bs3zpw5I/F5eno67t27h0qVKmHT5s1o0bIlHGrUQCt3d2zcuBFCoTCPtf4xz0Kf53yMWVqIP89NSGgYrC2lh0h9nhb6XLLu8jXrkZSUjOGDBxS4fZmZmTh4+CiMjQxzHc5YUjx7+QYWRhWlz9Fm33mOfv8R7yIiS/Q5uiDevXyOcmrqUNPUkphuYGaR9Xnu5/HcJCUm4HXoU+gbS99HfenGuRNISU5CPbeSFxANCf8EM111lPqq9561nigAExqefzAzM1OI9IxMfIxLxPITN/EyKhY9XPLuFXrw5hMIhcAfTtLDdkqq1y+eQ1VdA+pf7UNGZqJzzeuw3M9TuREkJuDFsycwNMl7HwKAh7dvAAAMClC2OLx4Hgo1dQ1oamlLTDe3sBJ/XtgyMjKQmpqK1y9fwHP+LKhraEoF1SibnLyCzP59r3PnzqFOnToSubrd3NygpKSEs2fP5lpPRUUFZcqUkZhWunRpWFhY4OPHkhFY5vDDIrJo0SKYmJhg48aN4ii5i4to2NWbN6KbKDs7O0yZIurqX69ePVy6dAnHjh1D1645Dy85c+YM7t27h1WrVqFBA1FPJFdXV7Ru3RrLli2Ds3N2/p7Y2Fjs3bsXenrZyUyff3UzGxoaiuPHj2P27Nno2LGjuB1fP1H39/fH48ePcfDgQVhm3Ri7urrixYsX8PPzg5eXF8LCwhAfH4+xY8eKx9LWqZN7roqiEhMbB0N96QCemqpoeERMHkG2mNg4qKpKD6P4XDc2VlTXwtQEgKjH1pfLunXvgUS5z3xWb0BGZiaG9cs7R8XPEhsbC8Mcek9lr2dsrnVjYuOgpir99FpVTVX8OQB8jBA9zVy3aRusLMwxd/oUyMvJYeO2nRg+fhKWey5CPeeSnYelIGLiE2CkpyM1Xa182azPEws8r/SMDEzx3gAVZWX0apd7zpzi9jP2HwBwqG6HFk0bw8zEBMkpKbhw+QrWb96GW3fvYZ2ft7h33+d9bcykKejYvi2GD+qPF69ew2fFavQZPAJ7tq5HmTzyBFDRiomJgaGhdG8MNTXRk/c895eYGKiqST+h/7pubEyMxPQvqaqpISbrcwBQUlLCnx06wNnZGdo6Ovjw/j2279iBUaNHY/q0aejQoYN42ampqbh27RqCg4MxYvhw6FaogKCgICz18EBcXBxGjBhRsI3wjWJj43I+xrKOk7yPsVjxsfglVVXpY+zx06dYv3krfJcshEqZMvj0KaZA7bt09Ro+hIdj1LCSP6QlJi4BRnq6UtPVsnLzxcQnFHhe6RkZmOK1VnSObv9ze+8VtsT4uByHF5ZWLoNSpRSRGJf7PpabHX5LkZKchBb55OO6ePwwypQtB4d6DfIsVxxiBckw1MzhGlVGdA2JEaRIffa1ERsDcemZ6D6/XGlFLOjSGK6VpPP1fZaRmQn/W89gpqMOexPZeQFBQlxsjvuQcpkyKKWoiIT4b9+HNvgsQkpyEtp1yzv9QnTkR+xc6wcz68pwcM79RQTFKT42FuVzuN9RLlMGioqKiIuLKfRltm/qirTUVACAgZExFvquhE4F2dmnqOiFhobizz//lJimpKQEY2PjPHtq5UQgEODRo0do166d1GerVq3C0qVLUaZMGbi4uGDChAnQ189/5M6PYFCrCCQlJeHu3bsYO3Zsnt0+Pwe5PrO0tMT169dzLX/jxg2ULVtWHNACRMO2WrZsiZUrVyIjI0O8PBsbG4mAVk7u3bsHoVAoEcQqVaoUmjRpgs2bN4unXbx4EdbW1jA1NZUYHlmnTh0cPnwYgCjBbrly5TBjxgz06NEDzs7OhfLGxu+RV3ddOeTdlTfPrr5Zn7k6O8HYUB8ey9dAS1MD1SrZ4F7wI3itWgcFBXnIfdHN/P7Dx9iyex9WLJ6X51sRf7oCrOePVM3M6sWgqFgKyz0Xo2xZFQCAk2MNtO7YFSvXbvwlgloA8tyjCtpxXCgUYor3etwMfgqvycNQUad4jp0CK+L9BwBGftVzpH69OjCoWBGLvZfh9LkLaNJQlGA4M1O0r7Vo2gRjhw8BIMrxpa2liVET/ocjx4LwZwkfIvWrK8h5tVDq5lL2y3no6Ohg2rQvXj7g4IBmzZrh7x494OXtjbZt26JUqVLIzMwEIOqFvNzPT5x/q3atWoiMjMTmLVvQr18/qKio5Nn+71ZE2+zzZ+np6Zg2ax5aNGvyzYne9x08jFIKCmjvnnuS/5Ikz01ZwLO0UCjEFK+1onP0/0agoo5W/pVKiIwMybQW8llP+fNa928d9nRo82pcO3Mcfw0eI/X2wy+9e/kcL548RIPWHaCoVILuib70/YceAGBCm7pISE5FRLwAR24/w8QdpzCzYwNxjq6vXXr6Bh/jEjGmZcm9J8p9H8pdQY+tz3ZvWIlLJ4+h57BxEm8//FpCXCwW/zsWQqEQI6bMLhHpKzK+Sh0jn/Vb7Ed+j3yPpSvWIT0tDe/fvsH+ndswccRgzPPy4xsQf0FNmjTJ8/OTJ0/mOD0uLk78kOtLqqqqeT4wy4mnpyeSkpLw999/S0xv3749GjZsCG1tbTx9+hTLly9Ht27dcPDgwRwfPhYWBrWKQFxcHDIzM6GrK/108Evlv0quqqioiNSsCHtu89XW1paarq2tjbS0NAgEAvE8tbTyv+GKiIiAoqKi1A72dd1Pnz7h4cOHOY6H/RxEU1NTw/r16+Ht7Y0JEyYgIyMDjo6OmDJlSo5vQSgq6mqqOfbGio2LF7UzhyfYX9b9updVTnUVFRWxYvFcTJ61AAPHTAIAlCmjjFED+2Llxq2o8MV3NHXeEjSt74KqlawRl/VE+PN3nJAogJKSIsoW1Y+iXKipqeWznrknh1VXU5V40v9ZXNa0z3XVs3oUVLe1FQe0AKCMsjJqOtjj9FnpvGOySL18uRx7Y8VmTfvcYysvQqEQU3zWw//MZcwb3R9NnEv2cJ6fsf/kxr1Fcyz2Xoa7D4LFQa3P+1o9Z8mcOfWca0FOTg6PnjzNc55UtNTV1SV6Sn32+eYpz/1FXV3cCyuvumrq6qLpOZSNi43N9yZKUVERbm5u8PLywqtXr2Bubg5VVVXIycmhbNmyUgnlXerVw+nTpxEaGgpbW9s85/091NRyvrmMLcBxoq6mlvMxFve5rug6tmXHLrx5+w6L585CXLzo2E1IFJ23UlJSERcfj7IqKlIP5j7FxODM+QtwrVcX2tolP7Cjrloux95YsVnTCnyO9loH/9OXMG/MADSpU6PQ21lUosLfY0rfThLTxszzRtnyqnj9XPrtsCnJSUhPT4NKHkniv3Z42zoc3bERbXsORMM2f+ZZ9tLxAABAveYl80GDmooyYnPojRWXJHrbqVqZ/ANxJtrZ55uGlU0wbMNRzD90CW62FpDPIbfWgRtPUEpBHq0dij89RU4iPrzDmB4dJKb9b/EylFNVw6sc9qHkpCSkp6Xl+aKBr+3bvAYHt65Hpz6D0bx9p1zLJcbHYf6kkYiOjMD/FvlCt2LxDwP+8P4deneUfJvlAp8VKK+mhtBn0vcfyUlJSEtLyzNJ/PeyshEFAytXs4WzS330/esPbFi5DDMWLC30Zf0SfmAY369GKBR+08MMf39/bNy4EdOmTYOJiYnEZwsWLBD/v5OTE2rWrIkOHTpg165dGDCg4KkOvhWDWkWgfPnykJeXL/QxpmpqaoiMlM4RExkZCUVFRYknxgXZMXV0dJCWlobYr276o6KipJZrY2ODOXPm5Dk/Ozs7rFmzBsnJybh69SoWLFiAYcOG4cSJE/m2pbBYmZvhyInTSE/PkMir9TQrV4+luWkedU3F5b70OUeQ1Rd1jQ0NsHWlN8IjIhEbFw8jg4pISEjEfC8/1LTP/pETEvYCIWEvcOz0Oan5tvyrJ2wszbF3w8pvXc0fYmVhjqNBJ5Ceni6Rs+VZSGjW57nnJ7CysMgxn8vTrGmWWfnHcsqbJCYUQq4EPFkrDNamBgg4dxXpGRkSOVueZuVpye+V758DWvtPXMTskb3RttHPH7L7rX7G/pMf+S/Ob9aWFjgalPMTKQCQk/s19jVZZWVpiaOBgTnsL6JcWpY55H/6zNLSUlzuS1/XtbSwEE93dXWVKmthkf9T6s85sj4/9VdWVoaxsbHU9RAAPmfTKqoeAlaWFjh6PEh6m2UdJ1Z5HCdWluZ4lsMQgqdZ0z4fY89CnyM+IQHuf/4lVdZ35Wr4rlyN3VvWo5K1tcRn/kcCkZaWJjO9H61NDHM+R7/4hnO01zrsP3Ees0f1RdvG9Yq0vYVNTVMbkzzXSEyrYGAMfdMHuHHuJGKjoyTyar19IdpP9AuYp+jwtnUI2LoO7t37omU+ww7T09Jw9dQxGFvawMiiZAZwrPQ0EXg3FOkZmRJ5tZ59+AQAsKjw7b2oqxnq4tLTN/iUmASt8pIPMaMTknDuySs0qGQCzXJlcplD8dLQ0sFM3/US0yoaGcPIzAJXzgQhJjpKIq/WmzDRPmRkVrDr+b7Na7Bv0xp06Nkf7br1zrVcYnwc5k0cgYgP7zF5oQ+MzUvGPqSlrQPvNZskphkam8DM3BJnTxxHdFSkRF6tsFDR9auoe0+plC0LIxNTvH39qkiXQ8Ujt55Y+VFVVc0x33V8fHyB7pUA0QiuyZMno1+/fujevXu+5StVqgQzMzMEBwd/c3u/Be/2i4CKigrs7e1x8ODBHN8k+L1q1qyJxMREnDuXHSDJzMxEYGAgHBwcvvkNF7a2tpCTk0NQUJB4Wnp6utSBUrduXbx+/Rq6urqwtbWV+vuasrIyGjRogK5du+LNmzdISck/B0FhaVK/HgRJSQj6qifQoaNB0NXWgl2V3Ls0N6nvgrCXr3Ev+JF4Wnp6Bg4fPwm7KpWgm0MvuQo62rC2MEMZZWWs374bZcooo0Pr7FcLr/NeLPXXrqVouKf3vP/w36SxP7rK36xJw/oQCJJw4rRkQsCDRwKhq6MN26pVcqkJNGnoirAXL3HvQfaJKT09HQGBx2FXtQp0dUTbSEdbG9Vtq+HOvftISMjuyZSUnIwbt+/Arlruy5AlTZ1rQJCUguOXbkpMP3jyInQ11WFnnftNnVAoxFSfDdh/4iJmDOuJDk1dcy1bkvyM/Sc3h44cBQDYVcvuNdq4YX3Iycnh/CXJl2VcuHwVQqHwl9nXZFXjxo0hEAhw4qvrir+/P3R0dPLs6dSkcWOEhYXh3hdvSExPT0dAQABsbW3FvaErVKiAatWqISAgQOKae+/ePbx48SLfbvppaWk4duwYNDQ0YGRkJJ7etEkTJCQk4M6dOxLlL1y4ABUVlQLfAH6r7GPsjMT0gwFH8z/GGjTI+Rg7egx21apAV0eUA7Bfrx5Yt9xH4m/h7P8AAJ07tMe65T4wziEX2v5Dh6Grow2Xus5Sn5VETevWhCApGccv3pCYfvDkBehqqcPOJvfvUCgUYqq3KKA1Y3hvdGhWv6ibW+hKKSrCxKqSxJ+yigqqO7tATk4OV04elSh/5cRRKJYujao18/9+j2zfgICt69CySy+07tY33/L3rl5AQlwM6jZvnW/Z4tKoiikEqWk4GSz5gNP/9lPoqKrA1kg6h2ZehEIhboa9R3llJaipSOd2PHz7GdIzMtHeseQmiC+lqAhzm8oSf2VUyqJm3axrb1bvu8/OHQ+AUunSsHPMfx/av2Ud9m1ag3bd+6BDj/65lvsc0Pr4/h0mzvOCqWXJ2V6KioqwrlxF4k+lbFk4uzaAnJwcThw9LFE+6Ig/SpcuDUfnon2IGRsTg7DQEOgbGuVfmH4bFhYWUrmzUlNT8erVqwLd09y7dw/Dhw9HixYt8M8//xR4uUX5cp3P2FOriIwbNw69e/dG79690a1bN6ipqSE4OBgaGhoSCd2/RcOGDWFnZ4cJEyZg7NixqFChAnbs2IGwsDDJHCEFZGlpiaZNm2Lu3LlISUmBoaEhtm7dKhWIa9++PXbs2IGePXuib9++MDU1RXx8PB4+fIi0tDSMGzcOZ86cwZ49e9C0aVPo6+sjMjISW7ZsQY0aNVD6J+aScq1TC3WcamDWYm8kJgpgbKiPI0GnceHqdcyfNkkc+Js6bwkOBR7H0Z2boK9XAQDQwd0NO/YdwtipszBmcH9oaqhjx/5DePHqNVZ7LpBYzrqtO6GlqYmKFXQR9ekTjp06i1PnL2HelImo8MUP81o1quNr17Pe1uZgWxUa6kU3tjg3rnWdUaeWE2YtXIKExEQYGxriyPETuHj5Kub9N1W8jabNno9DRwJxZO8O6FcU5Wf7o407duzZj3H/m4bRwwZDU0MDO/fux4uXr7DK10NiOeNHDkXfoaMwaNQ49O3ZDXIQJYr/FBOL4YMkb16u37otTlKcmZmB9+/DcfzkaQCAYw17aGpIvz68JKjvaIe69lUx028zEgRJMKmoi4BzV3H+1gMsHDcACllPev/1XoeDJy/h2Or5MNAV7R9zVm3D3qDz6NDMBdYmhrjzOPsio6RYClUsTHJcZnH7GfvPzdt3sXrDJjRuUB+GBvpITU3FhctXsOeAP2o71kBD1+zeEuamJujS8Q/s3HsAZcuqwKWOM16+eg2flatR2cYKLZo2/rkbqAhUbdEQpcuWQems5NYVq1iixp+i4Pn9I6eRljU0piRycXGBs7Mz5syZg8SEBBgZGyPw6FFcvHgRc+fMEe8v02fMgL+/Pw77+4uTibZv3x47du7EP//8g1EjR0JTUxM7d+3Cy5cvsXLFConljB41CoOHDMH4f/7BX507Izo6Gl7e3rC0tET7L5KYLlq8GOnp6bC3t4e2lhY+hIdj+/btePLkCWb+95/Ew6FevXrhyNGjGP/PPxg2bBgq6OrixIkTOHPmDMaOHQvlInoBgWvdOqhT2wmzFixGQqIAxoYGWcfYFcybOS37GJs1D4eOHMWRfbuyj7G27tixZy/GTZ4qOsY0NbBzzz7RMbbMS7wMc1MTmJtKnmPevnsPADAyNIBTTekhdvceBCPkeRgG9O4pM6+Jr+9YHXUdqmLmso1Z5+gKCDh7Gedv3sfC8YOyz9Gea3Hw5AUcW7so+xy9Ygv2Hj+HDs3qw9rUEHceZ/caVFJULLHn6ILQNzFH3eatcXjrOsjLy8PEujIe3bqGC4GH0KbHAImhYwHb1uPI9g0YNdcT1rai4fEn9m2H/5Y1qFKzNqo51cHzxw8k5m9eqZrUMi8ePwzF0qVRq2Ezqc9KChcbIzhbGmDuwYtITEmDkaYqAu+F4tLTN5jTuREUsnpnzth7FodvP8OhcX9BX0M0pHf05uOw1tOETUUtqKkoIyI+Ef63nuJm2HtMbltP6o2KgGjooZ5aWdS1yrvHYElkaGqOBi3aYN+mNZBXUIC5dWXcv3kVp48cQMfeg1Dui+F1+zevxf4t6zB5oQ8qVxedW47s3oq9G1fBzskZDrXqIeSh5D5kWUW0D6WmJGPB5NF4GfIUfw8ZjcyMDImy5dXVUUG/5G0/U3MLuLVuh81rV0FeXgHWlavg1rUrOHpoP3oNGCIx/HDrutXYumEN5nv5wc6hpnj69csXkZychCSBAADw6kUYzp8WjX5xquMCZWVlJCYkYPLooWjUrAX0jYxRunRpvH31Egd270BaWiq69ym64V4ke+rXr4/ly5fj06dP0Mj6bRUUFITU1FSJnN05CQ0NxYABA1CjRg3MmzevwMMVHz16hBcvXkglqC9sDGoVEUdHR2zatAmenp6YPHky5OXlYWVlhdGjR3/3PBUUFLB69WosXLgQS5YsgUAggI2NDVauXInatb8vweTcuXMxc+ZMLF68GEpKSvjjjz/g6OiIJUuWiMsoKSlh06ZN8PHxwYoVKxAREQF1dXVUqVIF3bp1AyBKFC8vLw9PT09ERkZCQ0MDLi4uGDv25/dE8pozA16r1sF37UbExsXDzNgIC2f8D62aNhKXyczMQEZGpkTkWElJCWu8FmKp32rM9fRFcnIKKllZYPniuXBykAxOpaSmYsWGLQiPiICyUmnYVa2M9T6LUbN64edXKQqeC2bDe/lqLFu1VrSNTIyxcNZ0tGzeVFwmIzMDGRkZUttota8nPHyXY95iTySnJMPGygp+noulXu1ub2eLNb6e8Fm5GpOnzQIA2FWrgvXLvWFvK3nD67d6HW7cuiP+9/Vbt3H91m0AwDo/b2jWLJlBLQDw/t8weG3eB5+tBxAbnwhzQz0s/mcQ3OtnH5OZGUJkZGZmj1sCcPraHQDAvqAL2Bd0QWKe+rpaOLl20c9o/ncp6v1HR1sL8vLyWLluI2JiYyEnBxgbGWLYwL7o1a2L1LCviWNGooKuLvYdPIxtu/ZCQ10NLZs1wcghA6GoqFj0G6SIdVs+G1qm2TftNTu3Rs3Oot4O/5q6ICpruGtJ5bF0KXx8fOC3fDliY2NhZmaG+fPno2WLFuIymRm57C+rVsHDwwPzFyxAcnIybGxssMzXF46OjhLLcHJygm/WMkaOGgVlZWXUd3XFmLFjoaSkJC5naWmJPXv24OjRo0hMTISKigqqVauG5X5+qFu3rsQ81dTUsGH9enh4emLp0qVISkqCmZkZ/psxA+3bty+ajZXFc8FceC9fhWUr1yA2Lg5mJiZYOPu/gh1jy7zh4bMM8xZ7ZB9jXkukztHfat+hw5CTk8Mf7UpuT5uceP87El6b9sBnyz7ROdqoIhZPGAL3BtkPGDMzM7PO0dnbMvscfQ77giRTCOjrauPk+iWQZV2HjoO6ljbO+O9F3KdoaFbQQ6eBo9CobUeJckJhJjIzMyS2zb1rFwEAD29excObV6XmvTxA8poWHRGOR7evo1aj5ihTtlwRrE3hWdK9GXyPX8fyEzcQK0iBqY465v3VGC2qZ/diyBQKkZEp2fPA3qQCTjwIw84rD5GYkoryykqoYqAD755uOb798M7LcIRFxGBg4xo55tqSBb1HToCGtg6OH9iN2E9R0K5QET2GjkHz9p0lymVm7UPCL26Cbl0R7SP3rl/BveuSPa0BYEuQaFrsp2g8f/IQALDZz0OqnGuzVhg04dsf7P8Mw8dPgpaODg7t2YlP0VHQ1auIwaPGoV2nLhLlMoWZyPzqXA4APovn4+OH9+J/nz91AudPiYJaG/Ycgl5FfSgqKcHc0hpHD+1HRHg4UlNToKGlDTuHGpgyZyFMCjgM9Lf0i6RC+RZdunTBli1bMHToUAwdOhRRUVGYP38+2rRpI9FT63//+x8OHDiAhw9Fx15UVBT69esHRUVF9O/fX2IooZKSEqpUEfUgX7t2LV6/fo1atWpBU1MTz549w4oVK6Cnp4dOnXLPl1cY5IQ/oz8Y0XdIi+A48LwIFYuml8CvpNRH6SSmlC1dt2TkpCipRmrUyr/Qb85T8Cj/Qr8x+VTpF0lQtlIR0jnTSNIZ8M1leXG+u7G4m1CiBTv1K+4mlHjaKuzjkRcz7dxfsiXL0u8eL+4mfLdS1Zt/d92wsDDMnj0bN2/ehLKyMlq3bo3x48dL9D6fNGkS9u/fjydPngAArl69ip49c86baGBggFOnTgEATp06hZUrVyIsLAyJiYnQ0NBA/fr1MXr06HxfoPejGNSiEotBrbwxqJU/BrXyxqBW3hjUyh+DWnljUCtvDGrlj0GtvDGolTcGtfLHoFbeGNQqeX4kqPWr+v363RERERERERERkcxjaJqIiIiIiIiIfgtyMvLCEyoY9tQiIiIiIiIiIiKZw6AWERERERERERHJHA4/JCIiIiIiIqLfgzyHH/5K2FOLiIiIiIiIiIhkDoNaREREREREREQkcxjUIiIiIiIiIiIimcOcWkRERERERET0e2BOrV8Ke2oREREREREREZHMYVCLiIiIiIiIiIhkDocfEhEREREREdFvQU6efXt+Jfw2iYiIiIiIiIhI5jCoRUREREREREREModBLSIiIiIiIiIikjnMqUVEREREREREvwd5heJuARUi9tQiIiIiIiIiIiKZw6AWERERERERERHJHAa1iIiIiIiIiIhI5jCnFhERERERERH9HuTYt+dXwm+TiIiIiIiIiIhkDoNaREREREREREQkczj8kIiIiIiIiIh+Dxx++Evht0lERERERERERDKHQS0iIiIiIiIiIpI5DGoREREREREREZHMYU4tIiIiIiIiIvotCJlT65fCb5OIiIiIiIiIiGQOg1pERERERERERCRzGNQiIiIiIiIiIiKZw5xaRERERERERPR7YE6tXwq/TSIiIiIiIiIikjlyQqFQWNyNIMrJs4/xxd2EEs2gvGJxN6HES0rPLO4mlGgaEQ+LuwklWmrFqsXdhBJvtErl4m5CidbXzby4m1CiVdkXUNxNKPGUkj8VdxNKNgWl4m5BiRYrp1LcTSjxFOSKuwUlm2b5X3Mfynhxp7ib8N0UTO2LuwklDocfEhEREREREdHvQY7RzF8Jhx8SEREREREREZHMYVCLiIiIiIiIiIhkDoNaREREREREREQkc5hTi4iIiIiIiIh+D/Ls2/Mr4bdJREREREREREQyh0EtIiIiIiIiIiKSORx+SERERERERES/BaEc+/b8SvhtEhERERERERGRzGFQi4iIiIiIiIiIZA6DWkREREREREREJHOYU4uIiIiIiIiIfg/MqfVL4bdJREREREREREQyh0EtIiIiIiIiIiKSOQxqERERERERERGRzGFOLSIiIiIiIiL6PTCn1i+F3yYREREREREREckcBrWIiIiIiIiIiEjmcPghEREREREREf0eOPzwl8Jvk4iIiIiIiIiIZA6DWkREREREREREJHMY1CIiIiIiIiIiIpnDnFpERERERERE9FsQMqfWL4XfJhERERERERERyRwGtYiIiIiIiIiISOZw+CERERERERER/R44/PCXwm+TiIiIiIiIiIhkDoNaREREREREREQkcxjUIiIiIiIiIiIimcOcWkRERERERET0e5CTK+4WUCEqlKDWhg0bsGHDBoSHh6NRo0bw8/MrjNkWm0mTJuHBgwc4fPiweNrFixcxf/58hIWFQVlZGTdu3Php7Zk5cybOnDmDU6dOAQCuXr2Knj17Ys+ePbC1tS3UZdnY2GDChAno169frmXu37+Pjh07YtOmTahdu3ahLv9nSE9Px67N63DiiD+ioyKhV1Ef7n90QpuOXfKtKxAkYseGNQgLeYrQp08QFxuDrn0GoHvfQVJlPebMwMnAw1LTDY1NsGLr3kJZl8KQlpaGdWvX4uDBg4iMjICBgQE6//UXunbtVqD6AoEAy3x9cTzoOOJiY2FqaoY+ffugRYuWEuVu376FQ4cO4cnjxwgJCUFaWhoCAo5A38BAap5bt2zBrVs38fjxY7x79w41azpizdq1hbK+3yo9PQ0b161DgP9BREVGoqK+Af7s1BmdunQtUH2BQIBVy5fhVNBxxMXFwcTUFH/36oNmbi1yXNbuHTsQ4H8Ib968hpKiC7g0ngABAABJREFUIkzNzTFi1BjYVrcXl9u5bSvu3L6Fp08e4/27d3CoURPLVq0prFX+bolJyfDauBuB568gNj4R5kYV0b9TW7g3rJNnvQ8RUVi39wgehb7Ak7BXiE8UYO7YgfijWQOpsqlp6Vix/QAOnbqAj1HR0NZUR+uGdTG0Wwcol1YqqlXLk0AggK+vL44HBSE2NhZmpqbo07cvWraQ/o6/FhUdDU8PD5w7fx7JycmwtrbG8GHDcjy3XrlyBcv8/PD06VMoKyujvqsrRo8ZAy1NTXGZt2/fopW7e47Lmj9/vlSbhEIhDh48iF27dyM0NBQKCgowMjLC4EGD0KhRo2/cEj9f6XJl4T51BAztq8DIoSrK62jh8AxPHP7Ps7ibViTklZVh2KsfNOs3QKnyqkh6/Qrvd21H9NnTBaqv7lwXeh06oayFJaAgj5TwcIQf2IuIowEAAKUKFWC/cXuu9WNuXMPTKZMKZV0KU1paGtavW4tDBw8iMjIS+gYG6Nz5L3TpWvDztN8yXwQdD0JcXCxMTU3Ru09fuH1xvGRkZGD7tm24cuUyQkNCEBsXh4oVK6JBg4bo07cPypdXFZd9+fIl9u3dixs3ruPN69eQl5eHmZkZunX/G02bNSv09S8ogSAJPivX4tipM4iNi4OZiTH69eiGls0a51s3KvoTli5biXMXLyM5OQXWVhYYMbAvnJ1qisu8ff8BLTrkvs3r1XbCCs+FhbIuP0ogEMBnxSocO3EKsXHxom3RqwdaNm+ab92o6E9Y6rMM5y5cEp23rSwxYvBAONdylCjXZ/Bw3Lh1W6p+PefaWOG9VPzv4EePsd8/ADdv38G79++hrKwMKwsLDOjdE7W/2L7FKT09DZvWr8ORL+6FOnTqjI5/FfwYW718GU6dOI74uDgYm5ji79590LR5zvdCe3buwJEv74XMzDHsq3uhyMgIrPT1weVLFyBITISRsQk6demK1u3+KKzVLrDP94qHv9g+Hb/xXnHlV/eKPXK4V5w1YxqOHPaXqm9sYoqde/dLTNuRw72iXwm4VyQqCj8c1AoNDcW8efMwcOBANGrUCBoaGoXRrhJn4sSJqFy5MqZPn47SpUsXa1uqVq2KnTt3wsLCotDnvXPnTujr6xf6fEsSvyXzcfr4EfzdbzCsKlfBratXsMp7CZIEAnTu2TfPuvGxsTjmvx9mFtZwdm2I44cP5Fm+dOnSmOO1QmKaUjHvP1+bN3cuAgIOY+jQYahatSouXb6ERQsXQpAoQL/+/fOtP27sGAQHB2PkqFEwMTHB0SNHMXnSJAgzhWjZqpW43LWr13D1ylVUqmSDsmXL5hkY3rNnN8qUKQOnWrVw7uzZQlnP77Vo/jwcOxKAAYOHonKVqrh65RI8lyyCQCBAr765B38/m/zPODx+GIwhw0fCyMQExwOPYvq/kyEUCtH8i8BfRkYGJo0fh3t3bqN7z96wtauOpOQkPHn0EElJyRLz3L93D8qUKYOajk64cP5coa/z9xo5ywMPnj3H2D5dYGqgh8NnLmH8Al8IhZlo3ahervVevQ/H4dMXUcnCBPWdqiPgzOVcy45f4Itz1+9gaLc/UM3aAncePcOK7QcQ8vIt/GaMK4rVyteYsWMRHByMUeJj4AgmTZoEYWYmWn1xDHwtNTUVAwcORHx8PCb88w80NTWxc+dODB02DCtXrICjY/YPpBs3bmDY8OFwdXGBp4cHoqOj4enlhYEDB2L7tm1QUpIM6HXt2hWtWkoGlo2NjaXaMHvOHBw6dAh///03Ro0cifSMDIQ8e4bk5GSpsiVROS0NuAzshjd3H+HugeNwGVCwHxCyymrqTJS1tsHr9auR/OYNtBo1geXkqQiVk0PUmVN51q3YuSsMe/XFxyP+eL9zG4QZ6VA2MoZcKUVxmbToaASPHiZVV6OOC/T/6opPly4U+joVhvnz5uJIQACGDB2KKlWr4vKly1i8aCEEgkT07Zf/dWz8uLF4GByMESNHwdjEBIFHj+B/kychU5iJli1Fx3BKSgpWrVwBtxYt0L79H1DXUMfjR4+xds1qnD93Fpu3boOysjIA4Mrly7hw4Tzc3d1RpWpVZKRn4PjxY5g44R8MGjwEAwdJPwj7GUZPnoYHjx5j9JABMDU2wpHjJzFh2ixkZmbC3S33YE5qair6jxiH+IQETBwzHJoaGtix9wCGjJmIVd6L4VTDHgCgo6WJLauXSdU/de4C1m3ejsYNXIpq1b7Z6In/w4OHjzF62GDRtjgWhAlTpou2RYvmudZLTU1F/2EjER+fgInjRom2xe59GDJqLFYt84JTDQeJ8oYG+pg/c7rEtPLly0v8++jxE3gQ/BB/tHGHjZUVkpKTsGvfAfQfNhJzpk9BW3fJc3lxWDJ/Ho4dDUD/wUNRqUpVXLt8CV5Z90I9++R/L/TvhHF49DAYg4ePhLGxCYICj2LGv5ORmSl9L/S/f0T3Qt169kY1u+pIThLdC315XUpIiMfQ/n2RnpaGoSNGQ0tbGyeOBWL+7JlISEhAl+49imQ75GbR/HkIzLpXrFKlKq5cuQSPJYuQKBCgdwHvFR9l3SsaZ90rTvt3MjKFQrh99ZC4dGll+K5Y+dU06d8WX94rXixB94pEReGHg1phYWEAgM6dO8PIyCjXcsnJyeKLvayJi4tDREQERo8eLfEj43v96LYoV64c7O3tf7gdOSmq+ZYUL8NCERRwED0GDMWf3XoCAOwcHBEfF4udm9aiZfs/UV5VLdf6unoVsePIacjJySE2JibfoJacvDwqVS3c3nSFKTQkBAcO7Mew4SPQq3dvAICjkxNiY2KxZs1qdOzUCWpquW+P8+fP48qVK5g7bz5aZv2AdnKqhffv38HDYymau7lBQUEBADBg4EAMGjwYALBp48Y8g1p79+2HvLwo5V/HPzsUxqp+l+ehoTh88AAGDR2G7j17AQBqODoiNjYWG9auwR9/doRqHtvn0oXzuH71CmbMniu+aavp6IQP79/D18sDTZo1F2+fPTt34Mqli1ixdj2q2dqJ51HPxVVqvtt27xVvn+6dOxba+v6Is9fu4NLtB1g8cRjcG9YFANSuXhXvwiOxaO12tKxfBwoKOadxdKxWCZd2ioK/D54+zzWodefRMwRdvI6JA7qjdwfRD826DtVQSkEeHht24eKt+6hX4+ceb5+Pgfnz5omPgVpOTnj3/j2WenjA7Ytj4Gv79+9HSEgINm3ciOrVqwMAnJyc0KlzZ3h4emLrli3isks9PGBsbIzFixejVCnRpdvAwAC9evfGgQMH0LlzZ4l5V9TTg52dHfJy6tQp7NmzBwsXLICbm5t4er26db99QxSTqJdvMFZDtJ5ltTR+6aCWmlNtqNV0RMj82YjOCmDF37uD0roVYNR/MKLOnQEyM3Osq2JpBcNeffF6/Rp82LNTPD3ujmQvEmFaGhIfP5Kqb9SnPzKSk/INnBWH0NAQHDxwAEOHDUfPXr0BAI6OToiNjcGaNWvwZ8e8r2MXzp/H1StXMGfuPLQQX8ec8P79e3h5eKB5c9ExXLp0aRw6HAB1dXVxXUdHJ+jp6WHihH9w6uRJcS/J5m5u6PzXX5D7YnhLPRcXxMTEYOOG9ejdp49UILqonbt0BZev3cCC/6agVfMmAIBaNR3w7kM4lvquRIumjXI9V+3zP4KQ52HYvMoX9rZVRXVrOKBjz37wWLYS29YuBwAoKSmherUqUvW9lq9GGWVl8XKL27mLl3D56nUsmDUDrdxEPedqOdbEuw8fsNRnGVo0a5L7tjh0GCGhz7F5zUrY21UT1a1ZAx2794KHjx+2rV8tUV65dGlUt62WZ3v69OiO8aOGS0xzrVsHnXv0xYq164s9qPU8NBSHDx3AwCHD0K1H1r1QTdG90Ma1a9C+Q973Qpcviu6Fps+ei2ZuonWp4eiEDx/ew89b8l5ob9a9kN8ayXuhul/dC+3fsxvv3r7Bmk1bUamyaJ+rXacuoqIisXblcri3bS8VPCwqz0ND4Z91r/j3F/eKcV/cK+Z1Drp04TyuXb2C/3K5V2z6xfYBAHl5OYltk5vtJfBekaio/FCi+EmTJmHYMNETvaZNm8LGxgb79u3D1atXYWNjgzNnzmDkyJGoUaMGRo0aBUAUIJoxYwZcXFxQrVo1dOjQARcuSD/5O3PmDDp16gQ7Ozs4Oztj+vTpEAgEebYnLi4OU6ZMgaurK2xtbdGgQQOMGTNG/LmPjw8cHByk6jk4OMDHxyfHee7btw9OTk4AgH///Rc2NjaYNGkS3rx5AxsbGwQGBkqUnzlzJho3bixR38bGBrdv30afPn1gb2+PBQsW5LoO4eHhGDx4MKpXrw5XV1esWSPdTfTz9r1//754WkpKCubPnw9XV1dUq1YNbdq0gb9/dvfUDRs2oFq1anj48KF42uvXr+Hg4ICFC7O7gtvY2GDtV8O8/Pz8UK9ePTg4OGD48OGIjo6WapNQKMTatWvh5uaGatWqoUmTJtiwYUOu61lcrpw/A6FQiGat2khMb9qqDVJSUnDzau49RABATk5O4iZV1p0+fRpCoRDt2rWTmN62XTskJyfj0sWLedc/dQoqKipo9tVwirbt2iMiIkJiH/18YS2IbylblM6dEW0f9zaS28e9TVukpCTjyuVLedY/e+Y0VFRU0Lip5PZxb9MWkRERePgge/vs2rEN9g41CnSjUlK2z5dOXL4OlTLKcHOVHDbXoXkDfIz6hHtPQnKtW9D1uf3wKQCgvpO9xPSGtUTn9aCL176hxYXjVC7HQPt27aSOgZzqmpqaigNaAFCqVCm0dnfHgwcPEB7+f/buOiyqrI8D+Jcu6UY6FewERcXEzl3dXd811+6OVdfuxERsXbsBUezujjVAbBEBGVpq3j8GBoaZAVQQ0O/neXjed++cc+fe49x7z/3dc373AwDRdeHhw4do3bq1OKAFiB5C2NjY4OSprws0/Lt9OywsLCQCWlRy6dfxRHpiIqLPnZFY/vH4UagaGaGMS3m5dU3bdkBGaio+HD4gt4w8auYW0K5YGdHnziIjn35YcTiTeR1rm/s61rYdPicn49KlfK5jp0XHcO5pgW3bio7hB5nHsJKSkkRAK4tbBVHAIjw8XLxMX19fZl/Bza0CkpOTIRAICrRvhenU2QvQ1NRAs0ZeEsvbt2qOiMhI3H8oHczMcvLsBdhaW4kDWgCgrKyE1t5Ncf/RY3yI+Ci37us3b3Hj9l00a+yFMlpa37wfheHUmXOitmgsOcW6fetWiPgYifsPH8mpCZw8cxa2NtbigBaQed5u4Y37Dx/l2RbyGBpIz3JRUlKCa3kXhH+I+OL1FbbzZ0XHWMuv7AudO30aGpqaaNhY8hhrKaMvtGfXdlQuQF/o/t27MDAwFAe0stTxrIekpCRcvZz3cV+YsvqKrYuor/jwgfx+RF5KYl+xRFFQLL1/JOWbWmXgwIEYOXIkAGDFihXYtWsXvLy8xJ9PmTIF1tbWWLlyJXr27ImUlBT07NkTZ86cwfDhw7F69Wo4ODigX79+ePLkibje0aNHMWDAADg7O2PFihUYM2YMjh8/jr///jvP7ZkzZw7OnDmDkSNHYv369Rg7duw3Pwnz8vISB5YGDBggmhoycOAXr2f06NHw8PDAmjVrpAIIOQ0cOBAPHjzA1KlT8c8//yA4OBgnTpwo0Pq3b9+Onj17YvXq1ahQoQJGjx6NgwcPAgC6d++O6tWrY8yYMfj8+TMyMjIwbtw4WFpaYvjw4XLXu23bNixbtgxt27aFj48PLC0tMXnyZKlys2bNgo+PD9q3b4+1a9eiQ4cOWLhwIXbskJ+bozi8fB4KXT196BsaSSy3c3ASf16YUj5/xv/aeaNtg1ro3rElVi+Zh7jY79+ZlSckNAT6+vowMpJsD2dnUXuEhMgPRGTVt7Ozk7jRBgBnJ1H90Hzql3TPQ0Ogp68Pw1zt4+jkLP48v/o2ttLtk1U/NFT0e/sQHo73797B3tERa1YuR6tmjVGvdg107dwJRwIOF9buFKlnL97AwcoCyrmebjvbWYs//1apaWkAAFUVyfZUURFNn3oS9vqbv+NLhYSGyjwGnJzyP4ZCQkPFx4qsulm/j5DM/5VV1tnJSVwupw0bN6J6jRqo7e6O7j164MyZMxKfp6Wl4d69eyhXrhy2bN2K5i1aoGq1amjZqhU2b94MoVCYx15TcdC0tUXS61dSo7GSwp4DADRsbeXW1a5QCcmvX8HAsz4qrtuMmoHHUWXrLlj27AMF5bwH7Rs3aw4FRUV8PBr4zftQFEJDQmVex5ycM8+z+VyHQkPkHMPOWcdh3vWvXxcF0wuSEuLGjevQ19eHQY48eN/Ls+dhsLexgbJyrnO0o734c3lCnoeJy8mqGxr2Qm7dAwFBEAqF6NRG/lTs7+1Z6HPY29pK910cHcSfyxMSGgZnR0ep5VnLQp9L1n399i3qNmmOKh710aLDr/BZ5Yvk5M/5bmNaWhpu3bkLR3u7fMsWNXl9IYfMvkxYfn2h5yGwldEXcnDM6ktJ9oUcHB3hu3I52ng3RgP3Gvhf504IytUXSktLhYqqCnJTURHd94U+e/YFe/htnmf2pYuqr/g81zX+8+fPaOXdBHVrVUfblt5YOG9usQTKiUqSb5p+aG1tDRsbGwBA+fLlYWlpKfF548aNMXr0aPF/79u3D48fP8ahQ4fgmHnyr1evHl68eIFVq1Zh2bJlEAqFmD9/Plq2bIlZs2aJ6xoZGaFfv34YOHCguMOf2/3799G6dWt06JCdILCVnIS5BWVgYAA3Nzfx/mZNz3vz5stu0H7//Xf8lU9+onPnzuHBgwfYtGkTPDxEiZVr1qwJLy+vPHOVPX78GMHBwZgyZQq6du0KQNSuERER4kCTgoIC5s6dizZt2mDx4sUwNDTEvXv3sHfvXrmBv/T0dPj6+qJdu3YYN26ceL0fP36USKL/6tUrbNu2DdOmTUOXLl0AAHXq1BElEF+5El26dCkxTwviYgXQ1tGRWq6uoQFlFRXExcYU2nfZOTrBznEYbOxFnaQHd27h4O7tuHvzOpas3QINTc1C+66vJYiJkTkkWkNDEyoqKhAIYvKtn/u4ByAehh5Tyi+yAoEAOjKmo2poaIjaJybv/YsVCGBRVlb76GR+HgMA+PhR9CQ2KCAAJqYmGDV2PLTKlMHhA/sxc+o/SE1NQ7sOxTcNsyBi4uJhZWYitVxXWyvz87hv/g4Ha9FLBW49egrLHN9166HooUhMbPw3f8eXipFzDGQdV3l1NGNiYmRO2chdVxATI7E8Jx1dXcRkfg6Ipv906tgR7u7uMDI2Rvj799ixcyeGDR+Of6ZMQceOHcXfnZKSgmvXruHhw4cYMngwTExNcfz4cSxesgSxsbEYMmRIwRqBvgtlbR0kh7+XWp4WFyv6XMa1LYuqkRGEurqwGTAYb7ZsRNLLl9CpWg0WnX+HqrExns+fLbuioiKMmngj6dVLxD96WCj7UdhiBLKPI/F5Op/rkEAQg7KyrmOZ5/6YPM7zEREfsMLHB66urqhXv36e33Ng/37cvHEDo8eMlTu1rSgJBLGwtDCXWq6b+bsRCGLl1o0RxIrL5aSTuSxGTt309HQcOnIMdjbWqFq55KRiEAhiYVlWOn+srm5WW+Rx3hYIoKsjPa1NVltUrVwJzZs0hp2tNZI/f8aFS1ewceu/uHX3HjasXp5n33iV3wa8ev0GyxbMLfB+FZXY/PpC+R5jAlhYfFlfyNjEBCPGjEeZMmVw+OB+zJom6gu1zewL2drZ48a1qwgPfw8zs+zf9b27t8Xf+b0IBAKZqUsK2lcU5NNXzNkXd3RyxuBhznBwEN1H3751Ezu3b8ON69ewYcs2aJaAewui4lAobz+Up0EDyTdXXbx4Ec7OzrC1tUVa5hN3APDw8BAHScLCwvD27VtMnDhRokzNmjWhoKCABw8eyA1qubq64sCBAzA2Nka9evXgnPmUriTI3Ray3Lt3D9ra2uKAFiC6ialduzaePn0qt97NmzcBQCohcatWrTBhwgS8f/8e5ubmMDc3x6RJkzB+/HgoKytj2LBhKFeunNz1hoeHIyIiQmpajbe3t0RQ69Il0bDaZs2aSf27rl+/Hu/fv0dZGW+4K2rpObYFABSzOpF5TR8sxKmF7bt0lfjvqjXdYe/kgjmTx+GY/wGpz4taWq72yOpU5zmdsiDtkUeZ0jRT82va5xubR/yhMHPkRUrKZyxcthzm5qLOdq3a7uj1Z1dsXLe2xAe1gPwOrW//MdSrUQXWFqZYtGEnDPV0UdHZHncfh2Dp5t1QUlSEomLx/OC+5Rj6orpyyuZch7GxMaZMmZL9YdWqaNq0Kf73559Y5uODtm3bQllZGRmZv7n4+HisXrVKnH+rdq1aiIyMxNZt29C7d292kEuavEbQ5TW4TkEBSlpaCJkzQ/ymxLh7d6Ckpg6zjr/g7dZN+Pz+nVQ13Ro1oWpsjFd+a6Q+Kw5fdZ5G/ueFvMrIW7dAIMDQwUMgFAoxZ978PAMUFy9cwLy5c9C4SZMCv5GxSBTRuUreZxevXEPEx0iMGty/QJv3XX2Hthg6oK/EZ/Xr1kFZC3MsXLYCp8+eR+OGsu8N9h08DL+Nm9G96+9o1EA6r2ZRKkl9IbPMvlDN2u7o3a0rNq1bKw5qte3QEQf37cH0yX9j9Pi/YWhoiBPBx3DqeDAAFFl/oDjaJ+e6f+/6P4nParm7w9nFBRPHjcGhA/ulPif5hJzG90Mp0qBW7uHVnz59wqNHj8Qjn3LKOil8+vQJAMS5unJ7/176KWWWyZMnQ1dXFxs3bsT8+fNhbm6Ovn374o8//vjaXSg0hoaG+ZaJiIiQOSTdyMgoz6CWQCCAsrKy1GiurKH4AoEA5uaipxiNGjWCpqYmUlNT8euvv+a5PR8/ivIC5N6m3Pvy6dMnCIVCuLu7y1xPcQS1Prx/h96d20osm+2zBto6unj+TLotk5OSkJaaCm1t+YkcC4NH/YZQ19DAk0cPivR7cnv39i1atZIMevr5rYOunp7E1N8sSUmJSE1NhW4eSfMBQFdPTzyKJKfYzCdk+dUvKd6/e4dObSVHda5Y4wddXV08eyqrfZKQmpqaZ2JUQDSKRtYTutjMJ7lZTz51dPUAADa2tuKAFiDqyNT28MCWjRsQHR1dLFNWCkpPu4zMkVKCuAQAgG6ZMt/8Haoqylg7YyzGLViNv/4WPb3WVFfD8B6dsXr7QZgYfv+37+rp6UmMlMoiEB8D8kfP6Mk5fnLX1c3M4yPvWMsrAS0gmp7p7e2NZcuW4dWrV7C3t4eOjg4UFBSgpaUllVDes25dnD59GqGhoahYseSMrvjZpcXFQlnGOVVZW0f8eV51VQ0MIbh5XWJ5zI1rMOv4C7QcnWQGtYy9WyIjNRWRJ4K/ceu/3bt3b9Em1+h7Xz8/6Onq4anM61jWeVr+MQgAurp6Mkclx2amCtCVUT82NhYDB/RHxMcI+PqulTlaM8ulS5cwZvQo1HZ3x6zZc4otL6euro7M0ViCWNEyWaOPsujp6sgceR2bT939/kFQVlZGmxby3yZYHERtIb0/We2T53lbV1fmyLT82iJLq+beWLhsBe4+eCgzqHXAPxDT5y7ALx3aYdRQ2fdCReX9u3f4tZ3kMeazxg86+fWF8usr6uqK+4U55e4L6Wb2haxtbcUBLSCzL+Tuga2bNuBTdDT0DQxga2ePWfMXYcGcWej2mygJuompGQYPH4klC+bByFh65Pi3ev/uHTrm6iuuLIS+om4B+4ryNGjYCBoaGl+de4voR1CkQa3cF25dXV24uLhITCvMLSsJ55QpU2S+ucnERP5JSltbG3///Tf+/vtvPHnyBFu2bMG0adPg5OSEmjVrQk1NDampqRJ1UlJSkJSU9AV7JZL16tTc6/uW4a4mJiYyk7BHRkbmWU9XVxdpaWmIiYmRSGKaVS/nDc+0adNQpkwZpKWlYfbs2RJJ4nMzNjYGAKltioqKkvp+BQUFbN++XZzbJic7u++fD8DAyBhL/LZILCtrbQNbe0ecOxmMT1GREnm1XjwXzXfPmipYlIRC4Xfv1BqbmGDbv9slltna2sLprhOOHT2KyMhIiXwkz56J2sNRRt6InJwcnXD0aBDS0tIkcgE8CxHlMnDIp35JYWRsjPVbtkkss7axhYOjE04EH0NUZKREroTQzP2zd8h7/xwcnXDi2FGp9smqn5WDpaylpdw3omblNiquUUgF5WxrhcCzl5GWni6RV+tpZp4rJ1v5N31fwsbCDDuXTMOHyGgI4uJhZW6KuMREzF6zFTUqyB95WlScHB0RdFT63/hZSP7HkKOjo7hcTrnrOmb+Tp6FhKBevXpSZQuSyyf7dyR6Mqmurg5ra2up8zmQPeCnpEwbJ5HEsDAYejUCFBUl8mpp2IqusUkvXsitmxT2HKoG0g/Xsi5FsnKoKevqQa+WO2KuXEJaPlPRvwdjYxNs3favxDIbW1s4Ot3FsWPS17GQZwW7Djk6OeKYjGM4JPM66JDrPB8bG4sB/fvh3du3WO27Vpy7S5ZLly5h9MgRqFa9OhYsXCSzj/S9ODnYIej4KaSlpUvk1XoWKsql5ZRH7iYnB3txuZyeZi6TlfcpKvoTzl68jIb16shMhF6cnBwdEBR8XPq8nZlLy8lBOn9Ydl17PJORx/Bp5jLHPOrmJOuafsA/EFNnzUXbVi0wZfyY795XNDI2xrrN0n2hB45OOJlHX8gun76QvYMTTgRLH2PPQ7P6UqJrmEUB+kIKOdrNo64n9vkfwZvXr5Ceng4raxucygzAV6larUD7/CWMjI2xQUZf0d7RCce/sa94PI++on0Br/GKpWl6BFEh+6491jp16uD169cwMTFBxYoVpf4AwN7eHmZmZnj9+rXMMqampgX6LhcXF0yYMAEA8DwzaaOpqSlSU1Px6tUrcblLly59VUJcQ0NDqKioSCToTUlJwY0bN754XVkqVqyIuLg4XL6c/QY+gUCAq1ev5lmvevXqAICgoCCJ5UeOHEHZsmXFo7SOHDmCgIAAzJo1CzNmzMChQ4cQHCz/6auZmRmMjY1x/PhxieXHjh2T+O+s6ZIxMTEy/83KFMIIjS+loqICp3KuEn+amlqoXa8BFBQUcPJogET5E0H+UFNTQ/XaHnLWWDgunjmJz8nJcHH7vqMfVFRU4ObmJvGnpaUFLy8vKCgowN9fMgHn4cOHoK6ujjp16+a53oaNGiExMREnT0q+zMDf3x/GxsalZpSHiooKyru6SfxpaWmhXgNR+xwJ8Jcof8T/MNTU1OHuUSfP9TbwaojExEScOXVSYnlQoD+MjI3hWkHUPsrKyqjXwAsvwsLw/l32aAmhUIgrly6hrKUV9PRK1k1Bbk3q1EBiUjKCL0i+gfDQyXMwMdRHJZfCDXCaGhnA2c4aGupq2LA3EJrqavjF26tQv6MgGmUeAydOSv4bF+QYaNyoEcLCwnAvxxsS09LSEBgYiIoVK4of4piamqJChQoIDAxEenq6uOy9e/fw4sULNG7cOM9tTE1NxbFjx6Cvrw8rKyvx8iaNGyM+Ph537tyRKH/hwgVoamoWKFhG38+nSxegpKkJA0/J3E1GTZohJTIS8U/kv70u+sI5AIBejVoSy3Vr1oYwPR0JMkYZGDVpBkUVFXw8FiT1WXFQUVGBq5ubxJ+WlhYaZF7HAvwlz9P+hw9DTV0dderkcx1rKDqGT+U6hgMyj+EKOY7hrIDW2zdvsHLV6jxTOFy+LApoValSBYsWL/nmFxd9q8YN6iExMQknzpyVWH7oyDGYGBmhopv8t2c2buCJsJevcC/HWwHT0tIReOw4KrmVh4mxkVQd/6BgpKWloUMJShCfpbFXfVFbnD4jsfxQYBBMjI1Q0c1VdkUAjRs0QNiLl7j3IDvHXFpaGgKDjqFSBVeYZD4QludwoOh4qlShgsTygwGigFbr5s0w7e/xxTKiT0VFBeVc3ST+NLW04FlfdIwFBUoeY0EBBesL1fdqiKTERJzN3RcKkO4LeTbwwksZfaGrl2X3hRQUFGBlbQNbO3tkZGRgz84dcHJ2QZVq1b+lKWSS11esL6evGPiNfcUjmX1Ftwp596VPnTyB5ORkuBXg7dlEP6oiHamVW/v27bFz505069YNvXr1gq2tLeLi4vDo0SOkpqZi1KhRUFBQwPjx4zF69GgkJibCy8sLGhoaePfuHc6ePYsRI0bIHfnz22+/oWnTpnBycoKSkhIOHjwIFRUV1KhRAwBQv359aGpqYtKkSejTpw/Cw8OxZcuWr3pypqioiKZNm+Lff/+FjY0N9PX1sXXr1m+6CNWvXx9ubm4YM2YMRo8eDW1tbfj6+kJbO++hzOXKlYO3tzfmzp2L5ORkODo6IigoCOfPn8e8efMAiKY2Tps2Db/99pv4SX+nTp0wZcoUVKtWTeqtQYBoSmjfvn0xa9YsGBoaom7durhw4QKuX5ecvmBnZ4euXbti7Nix6N27NypXrozU1FS8ePECV69exapVq766TQqbjZ0DmrZqh383rIWiohKcyrni9vUrOHb4AP78a4BEoscdG/2wY/M6zFqyChWrZl8cb1y5iOSkJCRlvtr89YswXDgtCurU8PCEuro6IsLfY8G0v1G/cTOYW1pBQUEB92/fwuE9O2BtZw/v1u2/637L4+DoiPbtO2DN6tVQUlSCq5sbrly+jP379mHQoMESo/x8fdfAb+1arPFdKz6mPD094e7ujtmzZiEhPgFW1lY4GnQUly5exKxZsyWS4UZHR4vzvz3LfIJ+4eJF6OvrQ19fX7xOAHj48CHeZXZoEhISIBQKxcFVNzc3WFhIJ3gtCvYODmjdrj3Wr10DJSUllHd1xdUrV3DowH70HTBIYkj5Bj9fbFznB59Va1C1umhfPOp6omZtdyyYOxsJCQmwtLLC8WNHceXSJfwzY5ZE+/QZMBBXLl3EiCGD0LtvP2hpacH/0EGEPHuKGXPmSWzXf48eijt8iQkJAIQ4dULUPuXd3CSmMH4v9WtWQZ2qFTB9xUbEJybBxsIUgWcu4/yNe5g/ZiCUlETPUP5eshaHTpzHsQ2LUdY0u/N/7LwoeP86XJQo9sGzMGhmPrH1rldbXG7dHn8Y6evBwsQQkZ8EOHr+Kk5evoF5owfA1Oj7T8/MOgZmzZqFhPh4WFlb42hQEC5evIjZs7L/jf+ZOhX+/v4I8PcX/37bt2+Pnbt2YcyYMRg2dCgMDAywa/duvHz5Er5rJHMYDR82DP0HDMDoMWPQpXNnREdHY5mPDxwdHdE+xxt1FyxciLS0NFSpUgVGhoYI//ABO3bswJMnTzB92jSJ31z37t1xJCgIo8eMwaBBg2BqYoITJ06I3yIs74l5SePW3AtqWhpQ0xY9QDF3dUS1Ti0AAPePnEZqUnJxbl6hEdy4BsHNG7AdMhxKmlpIfvcWhl6NoFezNkLnzRKP3rIbMRpGTbxxt+f/kBLxAQAQGXwUJi3bwGbwcCjr6iLp1UvoVKkO0zbtERFwWFwuJ2PvFvgc8UFqymJJ4+DgiHbt28N3zWooKinCzdUNV65cxv79+zBw0CCJ69haX1+s81uL1Wt8UT3zmlPX0xO13d0xZ/YsxCfEw8rKGseOBuHSpYuYkeMYTk5OxuCBA/Dk8WOMGj0G6enpuH/vnnjdejmCxrdv38aokSNhaGiInr3/kpoeaWdv/90f+NXzqA2PWjUwY/5SxCckwtqyLI4cP4mLV65hztSJ4v2cMms+Dgcdw5E9/8LC3AwA0KF1C+zcdxCj/p6G4QP6wEBfH7v2H8KLl6+x1mehzO/b738EZqYmqFu75nfbx4KqV8cDHrVrYsa8hdltEXwCFy9fwZzpU7LbYsYcHD4ShCP7d2e3RdtW2Ll3H0ZNmIzhg/rDwEAfu/bux4uXr7B25TLxd9y8fQd+G7egkVd9WJa1QEpKCi5cuoK9Bw+jdo3q8KqXHWw9duIU/pk5Fy7OTvi1Y3vczxE8BIDyLs7FGhS1d3BA67btsWHtGigqivpC165eweED+9EnV19oo58vNq33w9KV0n2hhfMk+0JXL1/ClOm5+kL9RX2hUUMHoVdWX+igqC80PVdfaMmCuahavQZ0dPXw7u0b7N25Ax8jIrDcd933aZhM9g4OaNOuPdatXQPFzL7itRx9xZznoPU5+orVcrRPrdrumC+jrzg1R1/x/ft3+OfviWjazBuWVlaAggJu37qJXTu2w97eAW3bd5DYrpx9xYSEBAhLQF+xROFo9B/Kdw1qqaqqYsuWLVi+fDnWrFmDjx8/Qk9PD66urhJ5r1q0aAEdHR2sWbMG/plP3sqWLYt69erJDL5kqVatGg4ePIg3b95AUVERzs7OWLNmjfhps76+Pnx8fDBv3jwMGjQI5cuXx4IFC/D7VybtnDx5MiZPnoyZM2dCS0sLf/31F2xsbKRenV5QCgoKWLVqFf755x9MmTIFOjo66NatG8LDw/Nd54IFC7BkyRKsX78eMTExsLW1xYIFC9C2rSiv1MSJE6GjoyN+i2HWsitXrmDSpElYs0Z2Etg///wTsbGx2L59O3bs2AEPDw9Mnz4d/fr1kyg3adIk2NnZYdeuXVi5ciU0NTVhZ2eHFi1afFVbFKWBo8bD0NgY/vt24VN0FEzNzNF36Ci0+eU3iXIZwgxkpKdDmCv77qpFcxGR4w1UF06fEAe11u8+DHVzC2hqaUHPwBAHd29HTHQU0jMyYGJqjja/dEHnP3tBXUOj6He0gCZMnAgTExPs2LkDUZGRsLCwwJixY/H775K56IQZQtEokVwjGxctXoIVy5dj9epVEAgEsLWzw5y5c9G8ueS//fPQUIwdM1pi2ZzZoqnI1avXwLr168XLd+3cKTV6LKvutGnT0TbHTXxRGzN+AoyNTbBn1w5ER0XB3NwCw0eNwa+/SZ43MjLbJ/fAzzkLFsF31QqsW7MasbEC2NjaYtqsOWjq3VyinKWlFVb5bcDqFT6YN3sm0tLS4OTsjPmLl6JuPcmRGft275J6Ijhp/FgAwN//TEOrNpL55L4Xn8kjsGzzbizfug+CuHjYW1lg4bjBaOWVPQIyIyMD6TmmTmUZPttH4r+3+x/Hdn9R5+u/oOwpR59TUrF6+wGER0ZDXU0Flcs5YvO8ScUy9TDLksWLsXz5cqxavRoCgQB2dnaYO3cuWjTP/jfOSE/P/H1k/0BUVVXht3YtlixZgrnz5iE5ORkuLi5YuWKFRJAXEL0sZUXmdwwdNgzq6uqoX68eRowcKXGz4+joiL179yIoKAgJCQnQ1NREhQoVsHrVKtSpI/m0WFdXF5s2bsSSpUuxePFiJCUlwc7ODtOmTkX79u2LprGKwB+rZ8Iwx/TW6p1bo3rn1gCAv209EfXyy95WXJI9mzEFlj16o2y3HlAuo43kN68lkr8DABQVoaCkhJy5z4Xp6Xg8YQysevaGeZeuUNbWxucP4Xi9wQ/h+/dIfU+Z8m7QsLbB222b805OX0KMnyC6ju3asRNRUaLr2OgxY6WSsguFGaLjMNd1feGixVi5YjnWrF6NWIEAtrZ2mD1nLrxzHMPR0VF4+FA0OmfhAunUDa3btMG06TMAANeuXsHn5GS8e/cO/fv2kSrr6+eHGjW+f7Bn6Zzp8PFdh5V+GyGIjYOdjRXmT5+MFk0bicukZ2QgPT1DooVUVVXht3wRlqzwxZzFy0XnKmdHrFo8DzWrVZH6njv3HiDs5Sv079WtxE5jXjpvNnxWr8VK33UQxMbCzsYG82dOQ4tmTcRl0jPknLdX+mDJ8pWYs3AJkj8nw8XJCauWLULNalXF5YyNjKCopAjfDZsQEyOAggJgbWWFQX17o3vX3yXa5dzFS8jIyMB/j5/gz7+kk+ofPbgXZWW8ufJ7GjV+AoxMTLBvt6gvZGZugWGjxuCXLrn6QsLMvlCu+rPmL8LaVSuw3lfUF7K2tcXUWXPQpJlkX6ispRVWrd2ANSt9MD9HX2juIum+UMSHD1iyYF7mm7z1UNujDuYuWiKRj+t7yeor7t21A1GZfcURMvqK2X1pyfpZfUW/HH3F6bn6ilpaZWBgaIgd27chOioaGRnpMDM3R+cuv6N7r17QyHVvsVdGX/HvzL7ipGLsKxIVBQXh18y9I/oOnkXEFfcmlGhltYsvN0dpkZQmHTyhbPofH+Vf6CeWYi79UhOSNFxT/pQlAnp5Fyy/zs/KdX9gcW9Ciaea/Km4N6FkUyreaZ0lnUCBb7DNjxJTUeXJQPvH/A2lREu/HKW0UDX4yUfZyfBdR2oRERERERERERUbhZI5ipS+Dv81iYiIiIiIiIio1GFQi4iIiIiIiIiISh0GtYiIiIiIiIiIqNRhTi0iIiIiIiIi+jkwp9YPhf+aRERERERERERU6jCoRUREREREREREpQ6DWkREREREREREVOowpxYRERERERER/RyYU+uHwn9NIiIiIiIiIiIqdRjUIiIiIiIiIiKiUofTD4mIiIiIiIjopyDk9MMfCv81iYiIiIiIiIio1GFQi4iIiIiIiIiISh0GtYiIiIiIiIiIqNRhTi0iIiIiIiIi+jkwp9YPhf+aRERERERERERU6jCoRUREREREREREpQ6nHxIRERERERHRz0FBobi3gAoRR2oREREREREREVGpw6AWERERERERERGVOgxqERERERERERFRqcOcWkRERERERET0c1Dg2J4fCf81iYiIiIiIiIio1GFQi4iIiIiIiIiISh0GtYiIiIiIiIiIqNRhTi0iIiIiIiIi+ikImVPrh8J/TSIiIiIiIiKiH1hYWBh69+6NKlWqwMPDAzNnzkRycnKB6h44cADNmzdHxYoV0bp1awQFBUmVSU1NxaJFi+Dp6YnKlSvjzz//xOPHjwt7N6QwqEVERERERERE9IOKjY1F9+7dkZCQAB8fH4wbNw7+/v6YNGlSvnWPHj2K8ePHo2nTpvDz84O7uztGjBiBCxcuSJSbM2cO/v33XwwdOhSrVq2CsrIyevTogY8fPxbVbgHg9EMiIiIiIiIi+ln8hNMPd+7cidjYWBw8eBAGBgYAACUlJYwePRoDBgyAg4OD3LrLli1D8+bNMWrUKACAu7s7wsLC4OPjA09PTwDAhw8fsHPnTvz999/o3LkzAKBy5cpo3LgxNm/ejNGjRxfZvv18/5pERERERERERD+Jc+fOwcPDQxzQAgBvb2+oqqri7Nmzcuu9fv0az58/R+vWrSWWt27dGvfu3UN0dDQA4MKFC0hPT0erVq3EZcqUKYNGjRrluf7CwKAWEREREREREdEPKjQ0VGo0lqqqKqytrREaGiq33vPnzwEA9vb2EssdHBwgFArFn4eGhsLIyAh6enpS5cLCwpCRkVEIeyEbpx8SEREREREREZVwjRs3zvPzkydPylweGxsLHR0dqeU6OjoQCARy15f1We66urq6Ep/HxsZCW1tbqr6uri5SU1ORmJiIMmXK5LntX4tBLSqx1JQVinsTSjTlpOji3oQSr4yKZnFvQsmWkVbcW1CiKaYkFPcmlHi9vO3zL/QT23DseXFvQonmk/ypuDehxBMo6xX3JpRoOijYW7t+Vm/jUop7E0o8FUVOXMqLgXSM4ocgVOB9ZhahUAiFArRH7jJCoVBquaz1ZJUrSgxqERERERERERGVcPJGYuVHR0cHsbGxUsvj4uLyTBKfc0SWkZGReHnWurJGcMlbf2xsLFRUVKCpWXSDDRiaJiIiIiIiIiL6QTk4OEjlzkpJScGrV6/yDGpl5dLKyp2VJTQ0FAoKCuLPHRwcEBUVhZiYGKlydnZ2UCzCUZEMahERERERERER/aDq16+PK1eu4NOn7Kn/x48fR0pKCho0aCC3npWVFezt7XHkyBGJ5QEBAahUqZL4bYqenp5QVFREUFCQuExCQgJOnTqV5/oLA6cfEhEREREREdFP4TukeSpxfvvtN2zbtg0DBw7EwIEDERUVhblz56JNmzYSI7UmTpyIgwcP4tGjR+JlQ4cOxYgRI2BtbY06derg5MmTuHjxItatWycuY2pqit9++w0LFy6EsrIyLCwssGHDBgBA9+7di3TfGNQiIiIiIiIiIvpB6ejoYPPmzZg5cyaGDBkCdXV1tG7dGqNHj5Yol5GRgfT0dIllLVq0QHJyMtasWYP169fDxsYGS5Ysgaenp0S58ePHQ1NTE0uXLkVcXBwqV66MzZs3w9jYuEj3TUH4PdLRE32FV9Hxxb0JJZoZpBPxkSQh336YJ5UPj4t7E0q0NGPH4t6EEu9Ol87FvQklGt9+mDefqEvFvQklHt9+mDe+/TBv/8Ux00x++PbDvLmZ6xT3JhSJxKTSe+7Q1FAv7k0ocThSi4iIiIiIiIh+Chkc1/NDYWiaiIiIiIiIiIhKHQa1iIiIiIiIiIio1GFQi4iIiIiIiIiISh3m1CIiIiIiIiKinwIzav1YOFKLiIiIiIiIiIhKHQa1iIiIiIiIiIio1OH0QyIiIiIiIiL6KWRw/uEPhSO1iIiIiIiIiIio1GFQi4iIiIiIiIiISh0GtYiIiIiIiIiIqNRhTi0iIiIiIiIi+ikIhUyq9SPhSC0iIiIiIiIiIip1GNQiIiIiIiIiIqJSh0EtIiIiIiIiIiIqdZhTi4iIiIiIiIh+ChlMqfVD4UgtIiIiIiIiIiIqdRjUIiIiIiIiIiKiUofTD4mIiIiIiIjop8DZhz8WjtQiIiIiIiIiIqJSh0EtIiIiIiIiIiIqdRjUIiIiIiIiIiKiUoc5tYiIiIiIiIjop5DBpFo/FI7UIiIiIiIiIiKiUueLRmqdOHECHz58QNeuXb/4i968eYMDBw6gc+fOMDU1/eL6f/75JzQ1NeHr6/vFdb9Uo0aN4OXlhSlTpoiXbdq0CZs2bcKHDx/QsGFDrFq1qsi3I0vr1q1RoUIFzJ07FwCwfPlybNiwAbdv3y7U77l69Sq6deuGvXv3omLFinLLrV+/HvPnz8eTJ08K9fu/l7S0VOzYvBHHAg4jOioSZuYWaPtLZ7T/9bd86yYmJODfjesQ8uwJQp8+gSAmBn/27otuf/WTKvvg7m0cC/RH6NMnePE8FKmpqdi63x9m5hZFsVtfJDExCct91+PYqTMQxMbCzsYavf/8Ay2aNsq3blT0Jyxe6YtzFy8jOfkznJ0cMKRvL7jXrC4u8/Z9OJp3/F3uOurWrok1S+dLLHsWGobV6zfjxu07iE9IhLGhAerVqY1JY0Z8/Y5+pcTERCxfvQbBx0+K2sfWBr26d0ML72b51o2KjsYSnxU4d/4CkpOT4ezshMED+sO9Vk2Jcj4rV+PCxUt4Fx6O5ORkGBsbwb1WTfTp1RMW5uZS630WEoo1futw4+YtxCckwNjICJ5162DS+LGFtt9FISEpGcu27sPR89cgiEuAvaU5/vq1FVo1cM+zXvDFGzh24RoePAvDh6hPMNTTRTVXJwz6oz1sy5p9p63/eomJiVi+Zi2OnTgFQWyc6Bjr/idaNGuSb92o6E9YvHwlzl24JPoNOTliSP++cK9VQ26d5OTP+KVrd7x8/Rqjhg5Cj//9If5s1dr1WL1ug9y682dOK9B2FTVFdXVYdu8Ng/oNoKytg6TXr/B+9w5Enz1doPp67nVg1vFXaDk4AkqK+PzhAz4c3IePQYEAAFVTU1TZvENu/Zgb1/B00vhC2ZeSRK2MFlpNHgLLKq6wquoGbWNDBExdioBpS4t7075JSbuO+fiux5OnIXj8NAQRkZFo29IbsyaXjN9TWloqtmzcgCP+hxAVGQlzi7Lo+Gtn/NJF/v7llJiYCL/VK3HqRDDiYmNhbWOL//XoiSbNmsv8rr27duKI/2G8efMaqioqsLWzx6BhI1CxchWJsuHv32GD31pcvXwRsQIBdPX0UN6tAuYsWFwYu53vPi1f7YvgE6cyfz826NXjT7Ro1jTfuqLr/Eqcu3Ax+zrfv6/UdT6n5ORk/Nq1G16+eo2RQwejx5/Z91Lh4R8wd9FiPHkagqjoaCgrKcGyrAU6tGuDXzt2gLJyyZxYk5aWhgP/bsLZowH4FB0JEzMLNGv3C1p07Jxv3Qe3buD8iSA8fXgfUR8/QFNLGw4u5dCpW2/YO5eXKPv4/h2cORaIF8+e4PWL50hLTcXy7QdgYlb8/em8pKWlYd+2jTgV5I9P0ZEwNbNA8w6/olXHLvnWTUpMwJ4t6xEW8hRhz54gVhCDzt374LeefaXKCoVCHNm/C0cP7sWH8Hcoo62D2p5e6NpnIMpo6xTFrhGVOF8c1Hrw4MFXBbXevn2LFStWwMvL66uCWsUpNDQUc+bMQd++fdGwYUPo6+sX6/b8+uuvaNCgQaGv183NDbt27YKDg0Ohr7sk8VkwFyeOHkGPPgPg4uqKG1cuY9WShUhMSMQfPXrlWTc2VoDAQ/th7+iMOvW9EHT4oNyyt29cx+3r1+Do7AJNLS3cvXWzkPfk6w2fMAUP/nuM4QP6wNbaCkeCT2LslBnIyMhAK2/5N7cpKSn4a8goxMXHY9yIwTDQ18fOfQcxYMQ4rPVZiJrVqgAAjA0NsM1vpVT9U+cuYMPWHWjUwFNi+bWbtzFo1ARUq1IRk8eOgJ6uLsI/ROC/p88Kdb8LasSYcXjw6D8MHzwQNjbWOHI0GOP+nowMoRCtmnvLrZeSkoI+AwYjLj4O40aPFLXPnr0YOGQY1q5agRrVq4nLxsXHobl3M9jb2UJLUxOhYWHwW78RZ86dx4FdO6Gnpysue+3GDQweNhLVqlbBpAnjoK+nh/fh4Xj85GmRtkNhGDrLBw+ehmFkz86wtTBDwNnLGD1/NYRCIVp7ecitt35vIIz0ddGvSxtYmpkg/GMU1u4OQKdh/2DnoslwsrH8jnvx5YaPm4gHjx5j+KD+omPs2HGMnfSP6BhrLj84mpKSgr8GDUVcXDzGjRqW+RvajwHDRmLtymWoWa2qzHorfP2QlJwk87OO7dqgrkdtqeVTZ8/DmzdvZX5WHJwmT4eWswteb/RD8ps3MGzYGI4TJiNUQQFRZ07lWde88++w7N4LEUf88X7XdgjT06BuZQ0FZRVxmdToaDwcPkiqrr6HJyy6/I5Ply4U+j6VBGUM9eHZ9w+8ufsf7h4MhmefggUySrqSdh3btnMvnBzt4VWvDg4EBBXqvn6rRXPn4FhQIP7qPxDlXN1w7fIlLFu0AImJiejWs3e+9f8eOwr/PXqI/oOHwtraBsePBmHq3xOQkSFEs+YtxOXS09Mxccwo3LtzG39064EKlSojOSkJT/57hOTkZIl1Pg8JwZD+fWBRtiwGDRsJExMTREVG4uqVy4W+/7KMGDsh8zo/ADbWWdf5KZnn6Hyu8wOHZJ6jR8DAQB879+zDwKEjsHalj8R1PqcVa9YiKUn2OTopOQlaWlro17snzMxMkZqahguXLmHOgsV4/PQZpk2aWCj7XNjWL52P88eD0LlnXziUc8Xd61eweeViJCclokPXHnnWDT68D/GxArTo2AWWtnaIjfmEgD3bMWlQb0yc54MK1bIf4ty/dQMPbl6HraMzNLS08OjOrSLes8KxdslcnA0Owu+9+8PRxRV3rl/GhuWLkJSYiF/+1zPPunECAYL9D8DW0Qm1PBvgROAhuWU3rV6KwL070bbL/1Cpei28efEcOzf6IuTxI8xZtaHEBkWLm1DI+Yc/Ev7KCyAsLAwA0LlzZ1hZWX3TuoRCIVJTU6GqqvrV6zAzM4OZWeGPVChTpgyqVKlS6OstSV48D8VR/0Po2W8gOv+vGwCgcrUaiI0VYPumdWjdoRN0dHXl1jc1M8eB4DNQUFCAIOZTnkGtrj3/wp+9RU9U9vy7pcQEtc5duoLL125g3rRJaNmsMQCgVvWqeBf+AYtX+KJ5k4ZQUlKSWXe//xGEPA/D1rUrUKWim6hutar4pVtvLFnpi+3rVwMAVFVVUbmCq1T9Zav9oKGuLv5eAEhKTsb4qbNQq3pVrFg4GwoKCuLP2rTIf2RUYTt/4SIuX72GuTOno2Vmx7ZWjRp4//49lixbjuZNm8hvn0OHERIaiq0b1qFyJdFox5o1quPXP/6HxT4rsH1z9miZv8dJjrCqWaM6ylpYYNCwETh99iw6tGsLQNQ+Eyb9g1o1a2D5kkWS7dOqZaHue2E7e/0uLt1+iIVj+qNVZgCrduXyeBcRiQUbdqJFvdpQUpI9C37VPyNgqCf5hNG9siua9BqFzQePYeaw/G/Eisu5i5dw+ep1zJsxFS29RU/9a9Wojnfh4Vi8fCWaN20s/zd0OAAhoc+xdZ0vqlSqIKpbvRp+6dodS5avwvaNflJ17j98hO2792Lu9H8wasIkqc/NTE1gZmoiseztu/cIfR6GVs2bQUdb+1t3+Zvp1qwN3eo1EDJ3JqIzA1hx9+5AzcQUVn/1R9S5M0BGhsy6mo5OsOzeC683rkP43l3i5bF3JEczC1NTkfD4P6n6Vj3/QnpyUr6Bs9Iq6uUbjNSvBADQMtT/IYJaJe06BgBXTgZCUVF0PvM/Glxo+/qtnoeGIuDwQfQdMAh//NkdAFCteg0IBAJsXr8O7Tv+kme/5/LF87h+9Qr+mTkbTb1FAaxqNWoiPPw9VvksQeOmzcRtvW/XTly5dBGr1m1EhYqVxOuo41lPYp1CoRAz/pkEE1NTrPTbINEnbtxMfkCpsJy/eCnzOj8NLTNHYNeqUR3vw8OxxGdFPtd5f9E5ev3a7Ot89Wr49Y9uWLx8JbZvWi9V5/7Dh9ixey/mzJiK0eP/lvrcztYWs6ZOkVhWr64HoqM/wT/gCP4eO/qb7huKwuuw5zgddBhdevdH29/+BAC4VamO+FgB9m/bgKZtOqCMjvzfVe9hY6CrbyCxrEotDwz9Xycc2L5JIqjV6c9e+LX7XwAA/13bSkVQ61VYKE4eOYw//hqA9pntU6FqdcTFCrB363p4t+0I7Tzax9jMHFsDTkFBQQGxMTFyg1pRHyMQuHcXmrf/Fd36DQEAVKlRG7r6BlgyYxJOH/VH09YdCn8HiUqYAufUGj9+PA4cOIBnz57BxcUFLi4uGD8+e1j1iRMn0L59e1SsWBF169bFtGnTkJCQACB7WhsA/PLLL+L6gGj47/Tp0+Ht7Y3KlSujUaNGmDJlCuLi4r54Z549e4Y+ffqgdu3aqFy5Mry9veHnl30D8Oeff6JfP8lpYvfv34eLiwuuXr0qd78HDRI92W3SpAlcXFywf/9+7N+/Hy4uLoiOjpYo37p1a4l2GT9+PFq3bo2zZ8+ibdu2qFixIk6ePCl3H27duoWOHTuiYsWK4nq5LV++HFWrSj6tf/fuHYYOHYoaNWqgcuXK6NatG+7fvy/+fNCgQWjcuDHi4+PFy44ePQoXFxecOXMGgOjfycXFRaJefHw8xo4di6pVq8Ld3R3z589Henq61DbFxsZi6tSp8PT0RIUKFdCxY0dcuFDynnpfPHcGQqEQ3q3bSiz3btUWnz9/xo0rl/Ksr6CgIBFUyEtW57akOXX2AjQ1NdCskZfE8vatmiMiMhL3H0rf9GU5efYCbK2txDcCAKCsrITW3k1x/9FjfIj4KLfu6zdvceP2XTRr7IUyWlri5cEnz+BjZBR6dO1S4LYtSifPnIWmpiaaNZG8YWnXpjUiPn7E/QcP5dY9dfosbG1sxB1dAFBWVkarFs3x4OFDfIiIyPO7DTJHgSopZT9vCD5xEh8jI9Hjz/+ViPb5Eicu34Smhjq869WSWN6xST1ERMXg3pNQuXVzB7QAwMRQH6aGBgiPjJZRo+Q4deac6Bhr3FBiefvWrRDxMRL3Hz6SW/fkmbOwtbEWB7QA0W+odQtv3H/4SOoYS01NxZQZs/HbLx3hVr5cgbfxgH8AhEIhOrZrU+A6RUm/jifSExMRfe6MxPKPx49C1cgIZVzKy64IwLRtB2SkpuLD4QNf/L1q5hbQrlgZ0efOIiMx8YvrU/EoadcxoORe88+fPQ2hUIiWbdpJLG/Vpi0+f07Glct593vOnT4NDU1NNGwsOS2vZZu2iPz4EY8eZPcZ9+zajspVq0kEtGS5c+smnj19gs6//1EswZqTpzOv840lp6q2a5N5js7rOp95jpa+znvjwcNHUtf51NRUTJk+G7/92glu5eWfx2TR19eDgqJiifxtXb94FkKhEA2bS15DvJq3Qcrnz7hz/Uqe9XMHtABAXUMTljZ2iIr4ILG8JO5/fq5dELVPo1zt06iFqH1uX8t7RGJB7zeePnqAjIx0VKtdR2J5DQ/RSNLLZ3/MhzVEuRX4LDFw4EA0aNAAVlZW2LVrF3bt2oWBAwcCAE6ePInBgwfD1tYWK1aswMCBA3Ho0CFxMMjNzU2cn2rOnDni+oBojnl6ejpGjBgBPz8/DBs2DNevXxfX/RIDBgxAbGwsZs2aBV9fX/Tu3VvuUN8v2e+RI0cCAFasWIFdu3bBy8vri9YRERGBWbNmoWfPnvDz80N5ORe1jx8/onfv3lBVVcXSpUvRu3dvTJs2DR8/yu9gAaLA0//+9z88ePAAU6ZMwaJFi5CSkoJu3bohNFR00zhjxgwkJSVh9uzZ4m36559/0KVLlzz3Z+LEiTh+/DhGjx6NefPmISQkBNu2bZMok5KSgp49e+LMmTMYPnw4Vq9eDQcHB/Tr16/E5d168TwUevr6MDA0klhu5+gEAAh7Lv8m+0fx7HkY7G1soKws+RTS2dFe/Lk8Ic/DxOVk1Q0NeyG37oGAIAiFQnRqIzm66OadewCAjIwMdOs3BFXrNUWdZm0wdsoMRHyMLNA+FaaQ0FDY29pKDdd2dnISf55XXWcnR6nlWctCnz+X+iwtLQ3Jycn47/ETzF+0GDbW1miS40bt1i3RaJP0jAx0790H1dzrom7DJhg7cRIi8jk3FLdnL9/AwcocyrmeeDvbWYk//xKv30fg3cdIOFqXLbRtLArPQp/L/g05Oog/lyckNAzOjjJ+Q46yf0Or121EUlIyBvfvU+Dty8jIwKGAIFhbWcqdzvi9adraIun1K6nRWElhov3VsLWVW1e7QiUkv34FA8/6qLhuM2oGHkeVrbtg2bMPFPKZdmHcrDkUFBXx8WjgN+8DfT8l7TpWkj0PDYGevj4MjST7PQ5OzgCAsNCQvOs/D4GtrZ3U+czB0Tlz/aJr4ofwcLx/9w4Ojo7wXbkcbbwbo4F7DfyvcycEBRyWqHv3tmikjaamFkYPG4xGdWujaf06GDtiKF6+kP9vV1hCnj+Hva2NjHO06Dwbkuc5+nk+13nJ7V+zbgOSkpMwqL90LqTchEIh0tLSEBsbi6PBJ3Ao4Ai6df29RE4fex0WCh09fegZGEost7Z3FH/+pRLj4xH27AksbaWPz9LmVWb76Oe637CxdxJ/XhjS0lIBACq5gsNKSspQUFDAy+d5H99EP4oCnyWtra1hYGCAd+/eSU1RW7FiBSpWrIilS5eKl+nq6mLUqFG4evUqateuDcfMC4WTk5NEEnIDAwNMmzZN/N9paWmwtLTEH3/8gbCwMNjZ2RVo+6Kjo/H69WtMnDgRjRqJnry4u+ediLggrK2tYWNjAwAoX748LC2/PI+LQCDAunXrUKlS3k+uNm/eDAUFBaxduxY6OqJRCsbGxujdO+9pNvv378e7d+/g7+8Pp8wbbw8PDzRq1Ah+fn6YO3cuDAwMMGPGDAwcOBCNGjXCrl27oKOjg3Hjxsldb2hoKIKDgzFz5kz88ssvAIC6deuiaVPJp3X+/v54/PgxDh06JP53rlevHl68eIFVq1Zh2bJleTfQdxQriIG2jKSJGhoaUFFRQZxAUAxb9X0JBLGwtJBORK6b+ZsTCGLl1o0RxIrL5ZT1e42RUzc9PR2HjhyDnY01qlaWfAlBVuBqxMR/8Eu71hjctxdevHqN5b7r0XPgcOzdug4a6uoF27lCIBAIULasdNBEVzdrH+X/RmIEApnto5s5xDwmRrJuZGQUGjXPvjmqWMEN631XQVNTU7zsQ2bgauTY8filQ3sMGtAPL1++wvJVa9Crb3/s2fHvd22fLxETGw8rMxOp5braZUSfx8VLfSZPWno6Ji1bD011dXRvX/TTU76FQBALy7LSCWyzfkOCfH9D0tMBZR1jj58+xcat/2LFovnQ1NDAp08xBdq+S1evIfzDBwwb1L9A5b8HZW0dJIe/l1qeFifaX2UZx1UWVSMjCHV1YTNgMN5s2Yikly+hU7UaLDr/DlVjYzyfP1t2RUVFGDXxRtKrl4h/JH9kBpU8Je06VpLFCgTQkTHNKavfk9f5CBCdrywspPu+Opnns1hBDADg40fRCKWggAAYm5hgxJjxKFOmDA4f3I9Z0/5Bamoa2nboKFF29vSpaNikCeYv8UFUZCT81qzEoD69sGnHbhgZGX/tLudLIBCgrIX8c/TXXeel6z5+8hQbt2zD8sULCnSO3rB5K5atFE1/VVBQwF89u2PIAOkXEZUE8bECmUnI1TU0oKyigrjYL+9Pr/dZgM/JSej4vx6FsIXFKy5WIPN+41vaRxZLG9F98uP7d1GxavaUzScP70EoFBba9/yIZCc0oNLqm0P/CQkJ+O+//zB2rGR+mObNm2PcuHG4ceMGatfOOwntwYMHsWnTJrx8+RKJOYb/v3jxosBBLX19fZQtWxaLFy+GQCCAh4dHkeSd+hr6+vr5BrQA4O7du6hdu7a4YwUAnp6eKFOmTJ71bty4AScnJ3FACwC0tLTQsGFD3LhxQ7yscePG6NSpE0aMGIH09HRs27YNWrmGz+d0757ohJgziKWsrIzGjRtj69at4mUXL16Es7MzbG1tkZaWJl7u4eGBgICAfPe7qKTn2BYAUMwaLZLXcN5SNr3rq31DG+Q1HFreZxevXEPEx0iMGix9E52RmaixeeOGGDlI1HmrVb0qjAwNMGzcZBwJPolObVvluU2F7Wv2MUeBAtfV09PFji2bkJKSgucvXmDTlq3o3W8gNqxdDePMp+rCzJErzZs2wYihgwGIcnwZGRpi2OixOHL0GDq1l5xWUpLk+VNDwY43oVCIScvW4+bDp1g2cQjMjQ3zr1TcivgYS0tLw5QZc9C8aeMvTvS+/1AAlJWU0L6k5WTLK2lrXvlcFRSgpKWFkDkzxG9KjLt3B0pq6jDr+Avebt2Ez+/fSVXTrVETqsbGeOW35hs3nIpFCbqOlRRpufo9WXmh8t7f/NebZ5nMD7OuVSkpn7Fw2XLxm55r1nZH725dsWndWnFQKyNDdEC7VayE8ZP+Ea/K3sERPf/3G/bv2Y2+A758xsaXKOrrvOgcPQvNmzZBXY+CPWRv17oV3GvVhCA2Fteu38Smrf8iPj4eE8aMKlD9opKenqs/rZh/f/pL0yXs2rAGF04cRc8ho6XefljSfc39RkH7P/mxc3SGa+WqOLRrK8pa26By9dp4/fI51iyeC0VFJSgqlL6pm0Rf45uDWnFxcRAKhTDKNaxZWVkZenp6+T4BOn78OMaNG4cuXbpgxIgR0NPTw8ePHzFo0CB8/vy5wNuhoKCAdevWYenSpZg+fToSExPh5uaGCRMmoGZN+a/Y/R4MDQt2A/bx40fxqLAvqR8bGyvV/gBgZGQk1f5t2rTBvn37ULFiRVSrJvsNLTm3R0VFBbq5Eojm3p5Pnz7h0aNHcHNzQ27yEm0WtfD37/BnR8l57AtX+kJHVw/Pn0m/MS4pKQmpqanQzmM0wI9CV1dH5lNsQaxomaxRIln0dHVkPsGMzafufv8gKCsry0z8rpf5ZLRubcnjtG7tWlBQUMB/T54C+H5BLV1dXQhipPcxq81kPaHNoqerK/OcJ8h8Upb1FDiLsrIy3FxFnbeqVSqjroc7WrbtgPWbNmP86FHi7QGAOrk6xXU83EXt87hkTfHNSU+njMzRWILMZbra8oPqWUQBrQ3wP30Jc0b0QWOPvM9bJYHoGPv635CskSK5j7FtO3fjzdt3WDh7BmIzc1DGZ+ax/Pw5BbFxcdDS1JQ6B3+KicGZ8xdQr24dGBmVnOBgWlwslGWMJlHOfNKdNWJLXl1VA0MIbl6XWB5z4xrMOv4CLUcnmUEtY++WyEhNReSJkpPUmwqmpF3HSoL3797h13aS10qfNX7Q0dXFs6fS14msfo+sUVw56erqIlZWe2W2f1Z9XV09AIC1ra04oAWI+ue13T2wddMGfIqOhr6Bgfi6VttD8g24Ti4uMDQywlMZL3QoTLryrtXfdJ2XrLttxy68ffsOC+fMFJ+js3INp6TIPkcbGRmKz8t13GtDR0cbS1esQvu2rVE+Mxfx9xYR/g5D/pBMND5l8SqU0dHFi1DpN1QnJyUhLTVV5iguefZsXof92zbit94D0LzDr9+8zd9TxPt36P+75IPF6UvWQFtHF2Eh0vcb4vYpxPuN0VPnYsXcaVg4dQIAQFlFBW1++R33bl5HQvyX56gmKo2+Oailra0NBQUFREVFSSxPS0tDTEyMVEAkt6NHj6J8+fKYPn26eNm1a9e+alvs7e3h4+OD1NRU3L59G4sXL0b//v1x7tw5aGlpQVVVFampqRJ18gu6yaOmpgYAUuuLiYmRKlvQpxXGxsZS7QhA5rKcdHV18VxGrp7IyEiJ9k9KSsLUqVNRrlw5PHjwAHv37hVPK5S3PampqRAIBBLryb09urq6cHFxwaxZs/Lczu/J0MgYKzZslVhmZW0DO3tHnDl+DNFRkRJ5tbJyStjZO3zX7SwOTg52CDp+Cmlp6RL5SJ6FivJAONnLHx3p5GAvLpfT08xljjLqRkV/wtmLl9GwXh0YGuhLfe7sYI+g4/ITWSp856dMTo4OCDp2HGlpaRJ5LJ6FiH4jjg7yfyNOjg54FiKdJyFrWV51AcDM1BTGxsZ4+eq1eJmzkyOOBh+XW0exBI8udLaxROC5q0hLT5fIq/X0hSiXlpNN3tO5swJaB06cx8xhvdC2Ud0i3d7C4uTogKBgGb+hzDwtTg7y84U4OdrjmYy8bU9Ds35D9uJ1xcXHo1WnLlJlV/j6YYWvH/Zs24hyzs4Sn/kfOYrU1FR0KiEJ4rMkhoXB0KsRoKgokVdLw1Z0Tkl68UJu3aSw51A1kA7QZR0asl7brayrB71a7oi5cglpmdOnqPQoadexksDI2BjrNkvmPLW2scUDRyecDD6GqMhIibxaoSGigISdg3R+qJzsHZxwIvio1PnseWZAwz7zumZhaQl1OVPhs45BBUXRQemQY2aBdOGiTwzu5CDvHC15npVZN9/rvKhuSOY5unXHzlJlV6xZixVr1mL3ts0o5+Is9XmWCm6it2++fPm62IJaBobGmL16k8QyCytrWNs74tLp44iJjpLIq/UqTNRXsrIrWH96z+Z12LvZD79074MOXXsU1mZ/N/pGxpi/ZrPEsrLWNrB+6IgLp4LxKSpSIq9WVo4r6wK2T0Ho6Rtg0rxliPkUjZjoKBibmkNVTQ1HD+2DR4NG+a+A6AfwRVcNFRUVqdFTWlpaKF++PIKCgiSWBwcHIy0tDTVq1BDXBSBVPzk5WfxZFn9//y/ZLJnbWatWLfTt2xfx8fGIyHwTiZmZGcLCwiQ6uBcvXvyq7zA1NQUAiWDS06dPERn59YmtK1WqhKtXr0q8+fHChQsSbyyUpXr16nj27BlCQrKTASYmJuL06dPi9geAefPmISYmBn5+fujevTtmz56NN2/kJ2quWLEiFBQUcPx49g11Wlqa1Nsb69Spg9evX8PExAQVK1aU+isOKioqcCnvKvGnqaWFOvUbQEFBAcFHJKdFBgf6Q01NDTXc68hZ44+jcYN6SExMwokzkm/WPHTkGEyMjFDRTf6w78YNPBH28hXu5Xh7W1paOgKPHUclt/IwMZYeMegfJDoXdJCTWLdRg3pQUFDA+SuSbyC9cPkqhEIhKsl4pXpRauTlhcTERJw4dVpi+eHAIzAxNkbFCtIjEsV1G3oh7MUL3HvwQLwsLS0NAUeOomIFN5gY550j5NXr1/gQEQHrHLn7Gjf0goKCAi5cknxD1YVLl0XtU7ECSqomdaojMSkZwRdvSCw/dPICTAz1UMlFfqdOKBRiso8ooDV1cA90bFq/qDe30DT2qi86xk6fkVh+KDAIJsZGqOgm/zfduEEDhL14iXs53r6VlpaGwKBjqFTBVfwb6t39T2xYvVzib/5MUX7Kzh3bY8Pq5RK/oywHDgfAxNgInnW+PedkYfp06QKUNDVh4Cn572zUpBlSIiMR/0T+yI3oC+cAAHo1JN+yqVuzNoTp6UiQMUrFqEkzKKqo4OOxIKnPqOQradexkkBFRQXlXN0k/jS1tOBZX3QNCQqU7FsHBRyGmpo63D3y7vfU92qIpMREnD0l2fcLCvCHkbExXCuI+nnKysrwbOCFl2FheP8ue2SkUCjE1cuXUNbSCnp6ooCgex1PqKur48olyT74k8f/ISoqUrzOotLIq0Hmdf6MxPLDAUdE5+i8rvNess/RAUHHJK7zvXv8ifVrVkr8zZsleoD/a6cOWL9mJayt8n6wc/3GTQDIt1xRUlZRgYNLeYk/DU0t1KhTHwoKCjh7TPIlG2ePBUJVTQ1VauZ/jdm3dT32bvZDx//1xK/d/yqqXShSKioqcCznKvGnoamFWnVF7XM6V/ucPhoAVTU1VK3lIWeNX09P3wC2Dk7QKlMGwYf34XNyElp0kA6qkohQWHr/SNoXjdRycHDAvn37EBAQABsbG+jr68PS0hKDBw/GoEGDMHLkSLRv3x6vX7/G4sWL4eHhIc6nZWtrCyUlJezbtw9KSkpQVlZGxYoVUadOHUyfPh0rVqxAtWrVcO7cOVy+nPdrTmV5/Pgx5s2bh5YtW8LKygrx8fHw9fVF2bJlYW1tDQDw9vbG3r17MWPGDDRp0gS3bt2SCNh8icqVK8Pc3ByzZ8/GqFGjEB8fj7Vr1+Y7Mi0v3bt3x/bt29GnTx/06dMHsbGxWL58OfT09PKs17FjR2zatAn9+vXD8OHDoampiXXr1uHz58/o00f0Rqzz589jx44dWLJkCUxMTDBy5EhcuHABEyZMwObNm2U+FXN0dESTJk0we/ZsfP78GZaWlvj333+Rnp4uUa59+/bYuXMnunXrhl69esHW1hZxcXF49OgRUlNTMWpU8eYCyMnW3gHN27TDlnW+UFJUhHN5N9y8dgVHDu1Hj74DoZPj32/r+rXYtnEd5vusRuVq1cXLr12+iOSkJHH+t5dhz3Hu1AkAQK06daGurgEAiPn0CfduizokWSPBrl++CF09fejq6Uus83uq51EbHrVqYMb8pYhPSIS1ZVkcOX4SF69cw5ypE8VD4afMmo/DQcdwZM+/sDAX5afr0LoFdu47iFF/T8PwAX1goK+PXfsP4cXL11jrs1Dm9+33PwIzUxOp6YVZ7G2t8Vun9ti1/xC0NDXh6V4bL1+/xnLfDSjv7ITmjb2KpB3kqVe3Djxq18LMufMRn5AAaytLBB0LxsVLlzFnxjRx+/wzfSYOBx5B4MF9sDAXJSzu0LYNdu7ei9HjJmLYkEEw1NfHrr378PLlS6xdtUL8HU+fPcP8xUvRtHEjWJYtC0UFBTwLCcXWHTugq6uL7n92FZe1s7XFb7/+gl1790FLUwuedTzw4tUrrFjti3IuLvBu2uS7ts+XqF+jMupUdcP0lZsRn5gEG3NTBJ69jPM372P+6H5QUhKdd/5euh6HTl7AsfULUNZEdEM5a8027As+h45N68PZ1hJ3HmcH7VVVVODqID1Vu6SoV8cDHrVrYsa8hdnHWPAJXLx8BXOmT8k+xmbMweEjQTiyf3f2Mda2FXbu3YdREyZj+KD+MDDQx669+/Hi5SusXZn90g17WxvY20q2wdt3okTrVpZlUbO69DTNew8eIuR5GPr06FZsU8PlEdy4BsHNG7AdMhxKmlpIfvcWhl6NoFezNkLnzRKP3rIbMRpGTbxxt+f/kJL52vfI4KMwadkGNoOHQ1lXF0mvXkKnSnWYtmmPiIDD4nI5GXu3wOeID1JTFn9Ubs29oKalAbXMlzSYuzqiWqcWAID7R04jNSm5ODfvi5W06xgAXL91B58yp65npGfgffgHBJ8SBd1qVK0MA329QmyBgrN3cEDrtu2xYe0aKCoqobyrK65dvYLDB/ajz4BBEv2ejX6+2LTeD0tXrkHV6qKHoh51PVGztjsWzpuNhIQEWFpZ4fixo7h6+RKmTJ8lcS7p038grly6iFFDB6FX337Q0tKC/8GDCHn2FNPnzBOX09bWRu9+A7By2RLMmjoFTbybIzoqEn5rVsPUzAwdfynaG/F6dT1E1/l5Oa/zxzPP0VOzr/MzZuFwYBACD+zJcZ1vjZ179mH0+L8xbPCAzOv8ftF1fqWP+DvsbG1hl+utreJzdFnJc/RKXz9ER0ejWtUqMDU2Rlx8PC5cvoL9Bw+jWZNGcC1frkjb42tY2dmjYYu22LPJD4qKinAo54p7N67iZMBBdOnVH2VyTGvdu2Ud9m3ZgMmLVsC1smi//Xf/i90b16JKLQ9Uda+Lp4/uS6zf2TU7sBkb8wmP7oremJn11sA7Vy9DR08POnr64nWWJNZ2Dmjcsi12bVwLRUVFOJVzxZ0bV3E84AB+7z0A2jnaZ/dmP+zevB7TFq+EW5Xse4NbVy8iOSkZSUmiaatvXobh0hlRcLm6e12oZY6MPB5wAABgZmGJhPg43Lp6CSePHEbXvwbCwbnk/XaIisIXBbV++eUX3Lt3DzNmzEBMTAw6dOiAuXPnonHjxli+fDlWrlyJgQMHQkdHB23btsXo0aPFdQ0MDDBlyhSsW7cOhw8fRlpaGp48eYLffvsNb968wb///osNGzbA09MTixYtQufOX3ZBMzY2hpGREXx9ffHhwwdoa2ujRo0aWLBggfjiVL9+fYwZMwbbtm3DgQMH0KBBA0ydOjXftwvKoqKighUrVmDq1KkYNmwYrK2tMXHixG+agmdiYgI/Pz/MnDlTvM4pU6Zg4ULZnawsZcqUwbZt2zB37lxMnToVaWlpqFSpErZs2QIHBwcIBAJMnDgRrVq1QsuWoqeMampqmD9/Prp06YJNmzahV69eMtc9e/ZsTJ8+HQsXLoSqqio6dOiAGjVqYNGiReIyqqqq2LJlC5YvX441a9bg48eP0NPTg6urK/7444+vbo+iMnTMeBgZm+Dg3l34FBUFU3MLDBwxGu1//U2inFAoREZ6OnJnKPaZPwcfcryl69ypE+Kg1tb9/jAzFwW1XoaFYsbfkm+X9FkwFwBQqWp1LFq1trB3rcCWzpkOH991WOm3EYLYONjZWGH+9Mlo0TR7mHJ6RgbS0zMk9l5VVRV+yxdhyQpfzFm8HMnJyXBxdsSqxfNQs1oVqe+5c+8Bwl6+Qv9e3fKcTjBu+CCYmhhj/+FAbN9zAPp6umjRtCGG9u8jNZLze1iyYB58Vq3GqjVrIYiNhZ2tDebNmoEW3tm5VETtky4x8lNVVRXrVq/AYp8VmLtgIZKTP8PF2QmrfJaiRo4OrKGBAUyMjLBl23Z8jIxEeno6TE1MUN/TE3169oCZmanE9owdNQKmJibYf+gQtu/aDX09PTRv1hRDBw0olvb5Ej5/D8WyLXuxfNt+COISYG9ljoVjB6BVg+ynuBkZGUjPyJB4/HT62h0AwP7j57D/+DmJdVqYGOHkxkUoyZbOmw2f1Wux0ned6DdkY4P5M6ehRbPsIGR6RrrM35DfSh8sWb4ScxYuQfLnZLg4OWHVskWoWa3qN23T/sMBUFBQQId2rb9pPUXl2YwpsOzRG2W79YByGW0kv3ktkfwdAKCoCAUlJeTMsStMT8fjCWNg1bM3zLt0hbK2Nj5/CMfrDX4I379H6nvKlHeDhrUN3m7b/NM88vxj9UwY2maP9qjeuTWqdxb9Dv629UTUS/mjtkuqknYdW7VuE27cviv+7+u37uD6rTsAgA0rl8BAX3rd38uo8RNgZGKCfbt3IDoqCmbmFhg2agx+6fK7RLkMoVB0TspVf9b8RVi7agXW+65GbKwA1ra2mDprDpo0ay5RrqylFVat3YA1K30wf/ZMpKWlwcnZGXMXLUXdepKjMH//XzeUKVMGe3buwIngo9DU1EJtjzroP3ioRKCtqCyZPwc+q3yxytcvx3V+Olo0y345Unp61nU+u56qqirWrVqOxctXYO7CxZm/H2esWrZY4jr/JdzKl8P2XXtw6sw5CAQCqKqpwd7OFmNGDEPnTh3yX0Ex6T18LAyMjHH0wB7EfBJNe+s+aCRa5JpyKcwQIiND8lp36/IFAMCda5dx55r0YIZdp7JH779+8RxLpk2U+Hz9svkAANfK1fDPktWFtk+Fqe+I8TAwMsGRA7sREx0FEzNz9BoyCq06SqYNyBC3j2R938Xz8PFD9v3GpTMncOmM6H5jzY5DMMnMXScUChGwdyc+fngPBQVF2Du5YNyMBajl2aBod5CoBFEQyko2QVQCvIrOe9rlz84M8hMnk4hQRbO4N6FEU/nwuLg3oURLM8471wwBd7pwakNeNhyTzndJ2XyiLuVf6CcnUNYr7k0o0XRQukYZfm//xfHtd/lRKeIcbqWdm/mP+RKtt58SinsTvlpZ/fxftPSz4VFMRERERERERESlDoNaRERERERERERU6jCoRUREREREREREpc4XJYonIiIiIiIiIiqtmFb8x8KRWkREREREREREVOowqEVERERERERERKUOpx8SERERERER0U8ho7g3gAoVR2oREREREREREVGpw6AWERERERERERGVOgxqERERERERERFRqcOcWkRERERERET0UxAKi3sLqDBxpBYREREREREREZU6DGoREREREREREVGpw6AWERERERERERGVOsypRUREREREREQ/hQwm1fqhcKQWERERERERERGVOgxqERERERERERFRqcPph0RERERERET0U+Dkwx8LR2oREREREREREVGpw6AWERERERERERGVOgxqERERERERERFRqcOcWkRERERERET0U8hgUq0fCkdqERERERERERFRqcOgFhERERERERERlToMahERERERERERUanDnFpERERERERE9FMQMqfWD4UjtYiIiIiIiIiIqNRhUIuIiIiIiIiIiEodTj8kIiIiIiIiop9CBjj/8EfCkVpERERERERERFTqMKhFRERERERERESlDoNaRERERERERERU6jCnFhERERERERH9FIRMqfVDYVCLSqzwP9oW9yaUaKb7DhX3JpR4GcfXFfcmlGifFZWKexNKNDXX4t6Cks91f2Bxb0KJ5pP8qbg3oUQbalinuDehxKt/60Jxb0KJ1sWIx1he1l3jnXt+Bta1Le5NIKJvxOmHRERERERERERU6nCkFhERERERERH9FDI4iPGHwpFaRERERERERERU6jCoRUREREREREREpQ6DWkREREREREREVOowpxYRERERERER/RSEzKn1Q+FILSIiIiIiIiIiKnUY1CIiIiIiIiIiolKHQS0iIiIiIiIiIip1mFOLiIiIiIiIiH4KGWBSrR8JR2oREREREREREVGpw6AWERERERERERGVOpx+SEREREREREQ/BSFnH/5QOFKLiIiIiIiIiIhKHQa1iIiIiIiIiIio1GFQi4iIiIiIiIiISh3m1CIiIiIiIiKin0IGk2r9UDhSi4iIiIiIiIiISh0GtYiIiIiIiIiIqNTh9EMiIiIiIiIi+imkZxT3FlBh4kgtIiIiIiIiIiIqdRjUIiIiIiIiIiKiUodBLSIiIiIiIiIiKnWYU4uIiIiIiIiIfgoZQmFxbwIVIo7UIiIiIiIiIiKiUodBLSIiIiIiIiIiKnUY1CIiIiIiIiIiolKHObWIiIiIiIiI6KeQzpxaPxSO1CIiIiIiIiIiolKHQS0iIiIiIiIiIip1OP2whIuOjoaHhwfmzJmDjh07ftfvHj9+PB48eICAgAAAwH///YcTJ07gr7/+goaGxnfdlsKgqK4Oy+69YVC/AZS1dZD0+hXe796B6LOnC1Rfz70OzDr+Ci0HR0BJEZ8/fMCHg/vwMSgQAKBqaooqm3fIrR9z4xqeThpfKPvyrRITE7F85WoEHz8OQWws7Gxt0atnd7Tw9s63blR0NJYs88G58+eRnJwMZydnDB44AO61a4nLxMfHY/vOXbhy9SrCXrxEYmIiypa1QOuWLdD199+hpqYmLvvo0X84cOgwbt6+hXfv3kNdXR1Ojo74q1dP1K5Vs0j2/2skfk7FimPXcPxeKARJn2FrrIdeXlXRvIpjnvWuPHuDjWdu4/mHT4hJTEYZdVU4mhmgW/3KqFfORqp8UkoqNp65g6N3Q/D+Uxw01VTgZGaIyZ3qw8ZIr4j2rnAkfk7BiqNXcfxeCASJmW3UqDqaV3HKs96Vp6+x8cwtPP8QjZiEZJRRVxO1UYMqqFfeVqp8UkoqNp6+haN3nmW3kbkRJnfygo2xXtHsXBFJSErGsq37cPT8NQjiEmBvaY6/fm2FVg3c86wXfPEGjl24hgfPwvAh6hMM9XRRzdUJg/5oD9uyZt9p6wtHamoqNm5Yj8OHDiEyMhIWZcuic+cu+O333wtUPzExEatWrsDx4OOIjRXA1tYWPXr2gnfz5uIy6enp2LF9O65cuYzQkBAIYmNhbm6OBg280LNXT2hr64jLvnz5Evv37cONG9fx5vVrKCoqws7ODn90/R+aNG1a6Psve5+SsNx3PY6dOiM6R9tYo/eff6BF00b51o2K/oTFK31x7uJlJCd/hrOTA4b07QX3mtXFZd6+D0fzjvLbt27tmlizdL74v3181+PJ0xA8fhqCiMhItG3pjVmTS8b17FupldFCq8lDYFnFFVZV3aBtbIiAqUsRMG1pcW9akUpPS8P5g9tx58xRxMdEQ8/EDDWbtUPt5h3yrRv+IgSndm3Ah1dhSIyNgbKqGowsLFGzWTtUqif/GBEKhdg0bQRePb6Pms3aoWWvoYW5S4UiISkJPht34ujZSxDExsPOuiz6/NYeLRt65lkv/GMUNu45jP9CwvAk9AXiEhIxa8wgdPBuKFW2+8gpuH7vkdRyzxpVsHbupELbl+KgqAB4lzOBu40BdNSVEZWYgvOhUTgbGpVvXScjLQxr4CDzs4WnQ/AiOrGwN7dIpaWlYd+2jTgZ5I9PUZEwNbdAi/a/olWnLvnWTUpMwO7N6xEW8hRhz54gVhCDLj364LeefaXKdmggv69c1toGK7bu/ab9+FFlcPrhD4VBLZJr4MCBSEzMvoD8999/WLFiBbp27Voqg1pOk6dDy9kFrzf6IfnNGxg2bAzHCZMRqqCAqDOn8qxr3vl3WHbvhYgj/ni/azuE6WlQt7KGgrKKuExqdDQeDh8kVVffwxMWXX7Hp0sXCn2fvtaI0WPw4OEjDB8yGDY2Njhy9CjGTfgbGRlCtGrRXG69lJQU9Ok/AHFx8Rg3ejQMDPSxc/ceDBwyBGtXr0KN6qKbpvfh4fh3+w60btUSf/6vKzQ1NHHr9m2s9vXD5SvXsHb1SigoKAAAjhw7hgcPH6JD27ZwdnZGUlIS9uzbhz79B2Dm9Klo27r192iSfI3cegwP30RgWHN32Bjr4sjtZxi/4wQyhEK0rCo/aCNITIaDqQE61ioPQ21NxCZ+xp4rDzFkYxBmdWmEVtWcxWUTP6fir7WH8TE2Ab28qsLJ3BDxySm4+zIcySlp32M3v8nIzUdFbdTCHTbGeqI2+jc4s42c5dbLbiPXHG30AEM2BGLWb03QqrqLuGzi5xT8teaQqI0aVpNso9SS30a5DZ3lgwdPwzCyZ2fYWpgh4OxljJ6/GkKhEK29POTWW783EEb6uujXpQ0szUwQ/jEKa3cHoNOwf7Bz0WQ42Vh+x734NnPnzMaRwEAMGDgQrm5uuHzpMhYumI/ExAT06v1XvvVHjxqJRw8fYsjQYbC2scHRoCOYOGE8MoQZaNGiJQDg8+fPWOu7Bt7Nm6N9+w7Q09fD4/8eY/06P5w/dxZb/90OdXV1AMCVy5dx4cJ5tGrVCq5ubkhPS0dw8DGMGzsG/foPQN9+/Yq0PQBg+IQpePDfYwwf0Ae21lY4EnwSY6fMQEZGBlp5N5FbLyUlBX8NGYW4+HiMGzEYBvr62LnvIAaMGIe1PgtRs1oVAICxoQG2+a2Uqn/q3AVs2LoDjRpI3sBv27kXTo728KpXBwcCggp1X4tbGUN9ePb9A2/u/oe7B4Ph2adgwdTSLnDDMtw7fxwNO/dEWXsXhNy7gaObVyIlKRH1OnTNs25yQjx0DI1RoU5DaBsYITU5GfcvnsSBlXMR8/ED6nf8n8x6148dQvSHd0WxO4Vm2NQFePAkFCP+6gpbSwsEnjyP0bOWIiNDiNaN68mt9+rtewScPI9yDraoX6saAk/n3eezMjfF/AnDJJZpl9EqlH0oTl2qlkUta30EPPqAV9GJKG+qjU6VLaCmrIjgJx8LtI7DD97j6ccEiWXvBMlFsblFynfxXJw9HoTfe/WHUzlX3L5+GeuXL0JSYiJ++bNnnnXjBAIEBxyArYMTank2wInAQ3LLzl21QWrZ0/8eYMPyxahdz+tbd4OoVGBQi+SytrYu7k0oNLo1a0O3eg2EzJ2J6MwAVty9O1AzMYXVX/0Rde4MkJEhs66moxMsu/fC643rEL53l3h57J3bEuWEqalIePyfVH2rnn8hPTkp38DZ93L+wgVcvnIVc2fPRMvMkQy1atbA+/fvsWTpMjRv1hRKSkoy6+4/eAghIaHYunEDKleuBACoWaMGfv3tDyxe5oPtWzYDAMqWLYugQH9o5gh+1q5VExoaGli8dBlu37mLalWrAAB6du+G0SOGS3xPPc+66PLH/+C7dl2JCGqdf/wSV569wZzfG6NF5qijmg5l8T4mHkuOXIZ3ZQcoKcqeze1d2RHelSVHc9Urb41Wc7dj37X/JIJaK45dQ1jEJ+wZ3hmWhtkjR7xcbQt/pwrZ+f9e4Mqz15jzR1O0yAxg1XS0xPtPcVgScAnelR3lt1EVJ3jnGs1Vz9UGreZsxb6rDyWCWiuOXkVYRDT2jPwNloa64uVebnZFsFdF6+z1u7h0+yEWjumPVpkBrNqVy+NdRCQWbNiJFvVqQ0lJdput+mcEDPV0JJa5V3ZFk16jsPngMcwc1rvIt78whIaG4NDBgxg4aDC6de8BAKhRoyYEghisW7cOnX75Fbq6unLrXzh/HlevXMGs2XPQvEULAEDNmjXx/v17LFuyBM2aeUNJSQlqamo4HBAIPT09cd0aNWrCzMwM48aOwamTJ9GyVSsAQDNvb3Tu0kUceAeAup6eiImJweZNG9GjZ0+oqqoWfmNkOnfpCi5fu4F50yahZbPGAIBa1aviXfgHLF7hi+ZNGso/R/sfQcjzMGxduwJVKrqJ6laril+69caSlb7Yvn41AEBVVRWVK7hK1V+22g8a6uri781y5WQgFDOPX/+jwYW2ryVB1Ms3GKkvup5pGer/FEGtiNcvcPt0EBp16YW6bUSjRmzdqiApLhbnDvyLGk3bQKOMjtz6tm5VYOtWRWKZc3UPfIoIx82TgTKDWjER4Ti5cx3aDxyP3Yv/KdT9KSxnr97CpZv3sGDicLRqJArs1q5SAe8iPmLh2q1o4VVH7rFXo5IrLu4TBRcePAnJN6ilpqaKyq7yH/aURmbaavCwNUDAw3CcfCoKYD2LTICWmhKalzPFhefRSExNz3c9EfEppW5UVm6vwkJx8shhdP1rADr8/icAoELV6ogTCLBn63p4t+sIbR351zZjM3NsCzgFBQUFxMbE5BnUcnGrKLUs+PB+KCgooEnLdt++M/RTO3v2LJYsWYLQ0FCYmZmhR48e6No17wcfYWFh2LZtGy5fvox3795BX18fHh4eGDFiBIyNjcXlrl69im7duknVb9myJZYsWfJF28mcWiXM7t270ahRI1SuXBndu3fHq1evpMrs378fbdq0QcWKFVGvXj0sWbIEaWlpEp+7uLjg4cOH+Ouvv1ClShU0a9YMBw8elFjPzZs30bVrV1SvXh1Vq1ZFmzZtcODAAfHn48ePR+vMgML+/fsxYcIEAICHhwdcXFzQqFEjREdHo0KFCtizZ4/Udv72228YPHhwYTTLN9Ov44n0xEREnzsjsfzj8aNQNTJCGZfycuuatu2AjNRUfDh8QG4ZedTMLaBdsTKiz51FRmLJuECfPH0GmpqaaNZE8ml/u7ZtEPHxI+4/eCC37qnTp2FrayMOaAGAsrIyWrVsgQcPHuJDRAQAQFNDQyKglaWCm+gmK/xDuHiZoYGBVDklJSW4li+H8A8fvmznisipB2HQVFVB04qSw+Lb1XDBx9hE3H8V8UXrU1FSgraGKpQUs2+ak1JSceD6f2ha0UEioFVanHoQBk01FTStJBnAa1ezHD7GJuD+qy/7t1RRUoK2uppEICwpJRUHrj1C00qOEgGt0urE5ZvQ1FCHd71aEss7NqmHiKgY3HsSKrdu7oAWAJgY6sPU0ADhkdGFvq1F5czp0xAKhWjbTrLj3bZtO3xOTsalSxfzrH/69CloampKTQts27YdPn78iAf37wMQnVNyBrSyuFWoAAAID88+J+nr60sEtMRl3SogOTkZAoGgQPv2tU6dvQBNTQ00a+Qlsbx9q+aIiIzE/YfSD0+ynDx7AbbWVuKAFgAoKyuhtXdT3H/0GB8i5I+UeP3mLW7cvotmjb1QRktyxIiinIA0lU6Pb1wEhEJU9ZIcmV3FyxtpKZ8Rcuf6V61XU1sHinKCPv5+i2FfsTrK18p7Gl9xOnnhquic3EBylGwH70aIiIrGvcfP5NblMQJUttCFooICLr/4JLH8yotPUFVWhKuZdjFt2fd39cJZCIVCNGrRRmJ5oxZtkPL5M25fvZxnfQUFBZnXoYJISkzApbMn4Va5Gswtrb5qHUQAcPv2bQwcOBCurq7w8/NDhw4dMHPmTJn3/TldvHgR165dQ+fOneHr64vhw4fj+vXr6NKlCxISEqTKz5kzB7t27RL/DR8+/Iu3lSO1SpDTp09j8uTJ6NixI1q2bIkHDx5g5MiREmU2btyIBQsWoHv37hg/fjxCQ0OxZMkSpKenY/To0RJlx4wZg86dO6Nnz57YtWsXxo8fjwoVKsDR0RHx8fHo168fqlevjsWLF0NVVRUhISGIjY2VuW1eXl4YMGAAVq9ejXXr1kFbWxuqqqowMDBA06ZNsXfvXvz666/i8s+fP8ft27fh6+tb+A31FTRtbZH0+pXUaKyksOcAAA1bW8T/91BmXe0KlZD8+hUMPOvD4o8/oW5ugdToaESeOoG3WzdCmCZ/ypNxs+ZQUFTEx6OBhbcz3ygkJBT2drZQVpY8/J2dnMSfV6lcWXbd0FBUq1pVanlW3dDQ5zA1MZH73deuizrKjvaycyZkSUtLw63bd+DgYJ9nue8l9MMn2JnoQTnXqBknM0MAQMiHaFSxzTuPUUaGEBlCIaITkrD3yiO8jBRgWIvsvEn/vY1EUkoarI10MevAORy9G4KklDQ4mxmif9MaqF9eOv9WSRIaHgU7E33pNjLPbKPwaFSxNc9zHeI2ik/C3isP8DIyBsNaZd9c/PfmY3Yb7TuT2UapcDY3RP9mtVBfRv6tkuzZyzdwsDKHcq6bQGc7K/HnVV3zzkeW0+v3EXj3MRKNPaoV6nYWpdCQUOjr68PIyEhiuZOzc+bnIfnWt7OzkzqfOTlnnZNCULlKFbn1r1+/BgBwcMj7nAQAN25ch76+PgxkBOIL07PnYbC3sYGycq7fhaO9+PMqlSrIrBvyPAzVKks/tc+qGxr2AqYmxlKfA8CBgCAIhUJ0atPyWzafSoGPr8OgqaOHMnqSv2VTa9HvJOJ1WIHWI8zIgFAoRFJCHB5dOYvQezfQoucQqXK3TgXibehjDFooPU2qJHn24jUcrC2lz8n2ouvvs7DXqOpWrlC+6/W7D3Dv0AMJCYmwMDVGi4Z10b9rJ6jnyDla2pjrqiMuOQ1xnyX7xW8FSaLPddQLtJ7OVSzQs5Y1UtIz8CI6EUH/fcDzqJLxYLigXj0PhY6ePvQNJa9ttg6ia9OrMPkPrb7V+ZPBSE5KQpPWHKWVl3TZE3Qoh5UrV8LV1RWzZ88GALi7u4tGwi9bhk6dOskN5rds2RJdu3aVCMy6uLigXbt2CA4ORocOkrkbnZycULGidN/lSzCoVYKsXr0aNWrUwJw5cwAA9erVQ1JSkjgwFB8fDx8fH/z111/iYFfdunWhpKSE+fPno3fv3tDX1xevr2vXruLhgZUrV8aZM2cQHBwMR0dHhIWFIS4uDiNHjoSLi2hqj4eH/PwtBgYG4umIbm5uEp36zp07o0ePHggNDRXfGOzduxcmJiaoV09+/oHvSVlbB8nh76WWp8WJgnjKOvJHxqgaGUGoqwubAYPxZstGJL18CZ2q1WDR+XeoGhvj+fzZsisqKsKoiTeSXr1E/CPZAbPiIBAIULZsWanlupnDoGPyGIUQEyOAroy2yloWI4iRW/fp02fYtGULGjdsCGfnvG/UV/uuxavXr7Fs8cI8y30vMYnJsDSQsd+aos6nIDH/XA+DNx7BpaevAQBl1FQx/4+mEoGqCIHoycWmM3fgaG6AmZ0bQUFBAVvP38WwzUFY2bMV6riU3CduojaSHj2lqynqxBaojdYH4NJT0ejUMuqqmN/VWyJQFRGb1Ua34WhmiJm/NRa10dk7GLYxECt7t0Edl9IzbTomNh5WZtJBYF3tMqLP4+ILvK609HRMWrYemurq6N4+/xc+lBQxghjoyJheqKGhARUVlXxHRQkEMShrKZ0/TCfrfBYjv35ExAes8PGBq6sr6tWvn+f3HNi/Hzdv3MDoMWPlTj8qLAJBLCwtpAPAWedZgUD2wycAiBHEyjxH64jP0bLrpqen49CRY7CzsUZVGUEx+rEkxsVCo4z0qBlVdQ0oKasgMV7+byynwA3LcPOE6GVCSsoqaN59MGo0kRyZEhv9EcHbfNH0j77QNjCStZoSIyY2DlbmplLL9bLOybFxhfI91SqURwuvurCzLovkzyk4f+02Nuw6hFsPHmPTwqmldtSXlqoSEmTktkxJFyI1PQNaqnmfO5NS03H62Uc8i0xAwuc0GJdRQ2NnYwyr74A1l8Lw34eCXxOLW1ysANoyzsXqGhpQVlFBXGzRjfg9eeQwtMpow6N+/i8WIZInJSUFV65ckRo006ZNG+zevRuPHj1ChQqyH7DJevjn4uICJSUlRER82eyWgmJQq4RIT0/Hw4cPMWbMGInl3t7e4qDW7du3kZiYiObNm0tMN3R3d0dycjKePXuGWrWyp7F4emYP8S5TpgzMzc3FUyysra1RpkwZTJ06FX/++Sfc3d2/+umzu7s7rKyssHfvXowbNw5paWk4fPgwOnXqVOSd/y+S11su8noBhoIClLS0EDJnhvhNiXH37kBJTR1mHX/B262b8Pm9dOJT3Ro1oWpsjFd+a75xwwtfXkOa8x3u/BV13757h8HDh8PU1BRTp+T9Zp99Bw7Cb/0GdPvzf2jo5ZX3tnxHebWKQp6fioxrVxdxSSmIjEtE4K2nGLv9OGZ0bijO0ZX1FhYVZUWs7NUSWmqinD01HSzQdsEOrD11s0QHtYA8fxoFaCFgXPt6iEv+jMjYRATeeoKx/x7DjC6NxTm6xG2kpIiVvVtDSz2rjcqi7bx/sfbEjVIV1ALya7OCTT0QCoWYtGw9bj58imUTh8Dc2LCQtq5wpeUa1Zp1fcjzfFSANsirjLx1CwQCDB08BEKhEHPmzc/zJvLihQuYN3cOGjdpUuA3Mn6zPH8YebfJ15zfL165hoiPkRg1uH+BNo9Kj4x0yRxGCpm/9a85bnKr1/4PVGvYEgmxMXhy8zKCNi5H6udk1GnTWVwmcN1SmNk4oFrjVl+x9cUgz0Pv66aD5Tasl+R5pEHtaihrZowFvltw6tJ1NPGsXSjfU5QUczVFRlY/+hteKPdGkIw397IfQIdGJeLuOwEmNnFGuwrm+O+D/OmfxSk917Utewru15/Hv9arsFA8ffQALTr8CtVSPOqP8ta4ceM8Pz958uQ3f8erV6+QmpoKe3vJWTOOjqI0I6GhoXKDWrLcvn0b6enpMkfG9+3bFzExMTA2NkarVq0wbNgw8ct7CopBrRIiOjoaaWlpUoGlnFMyPn0SzVHPPWQvy/v3kiORtLUln8KpqKggJSUFAKCrq4uNGzfCx8cHY8eORXp6OmrUqIFJkyaJR24VlIKCAn799Vds3rwZo0aNwpkzZxAZGYlOnTp90XqKUlpcLJRlJGRUznyNe9aILXl1VQ0MIbgpmWMi5sY1mHX8BVqOTjKDWsbeLZGRmorIEyUrqa6uri4EMkZUCTKfGsl6yp9FT09X5sgJQea0VV0Zbfzu3Xv07tsfSkrK8FuzOs+kzwcPHcaMWbPxS8cOGDV8mNxy35uepjpiZIw0EiR+BgDoaObfcbAx0hP/fy9XWwxaH4g5By/Au5IjFBUVoJc5oqmyjZk4oAUAGqoqqG5vgTMPX3zbThQx+W0kWqajmf/FycZYT/z/vdzsMGidP+YcOAfvyk7SbaQuq40KNmWmpNDTKSNzNJYgc5mudv5vwhIFtDbA//QlzBnRp8ROPXz37i3atJK8qfX184Oerh6ePnkiVT4pKQmpqanQ0c07v5yurp7M81ls1vlMRv3Y2FgMHNAfER8j4Ou7FpYyRnpluXTpEsaMHoXa7u6YNXtOod3U5kVXV0fmaKzs86z8vDR6ujoyR9vG5lN3v38QlJWV0aZFs6/ZZCqhYiLCsWyoZELf7pMXQVNbB+Evpac/pSQnIT0tFRpaBct9pGtkCl0j0cgmp6qiQMzJnetQuUEzaOno4dGVswi5ex09py7D50TJPCrpaWlIToiHipo6lJRLxu2Ino42BLHS5+QY8Tm5TJF9d5sm9bHAdwvu/ve0xAe1DDRVML2FZC7aZWdDkZCSDktd6XyqqkoKUFFSREJK/knic0tKzcCD8DjUszeEiqICUjO+IWpWBCLev0O/3ySn+c1YugbaOroIC3kqVT45KQlpqanQ1i6a3KknAg8DAJq24tTD/GTkNdiBxPd7OrnuC3XEo8YLPtowNTUVs2fPhp2dHbxyDFjQ1tbGX3/9hZo1a0JNTQ1XrlzBhg0b8Pz58y9OYVQyriIEAwMDKCsrIzpaMsFvZGSk+P9nBQNWrFgBMzPp/D15dcxlqVSpEtatW4fk5GRcvXoV8+bNw6BBg3DixIkv3v6OHTvCx8cHZ86cwb59+1CzZs0S9fbExLAwGHo1AhQVJfJqadiK3piW9OKF3LpJYc+haiA98iHr3kYo46SorKsHvVruiLlyCWl5TMkrDk6Ojgg6dgxpaWkSeWieZeaucXSUn1vGydERz55J57iRV/fdu/fo1bcfIBRi/VpfmJlKD+vPcvDQYUydMRNtW7fC5L8nfpebx4JyNDPA0TshSEvPkMgZFRIuOl4dTb98lKOblQkuPn2NTwlJMNTWhJN5HusQFtlDvULjaG6Io3eeyW8js69soyevcrRR3iOQSnob5eZsY4nAc1eRlp4ukcPl6Ys3AAAnm7zP6VkBrQMnzmPmsF5o26hukW7vtzA2NsHWbf9KLLOxtYWj010cO3YUkZGREg9xQp6Jnsg7OEq+eCA3RydHHDt6VOp8FpJ5nnJwkKwfGxuLAf374d3bt1jtu1acu0uWS5cuYfTIEahWvToWLFwEFRWVgu3sN3JysEPQ8VNIS0uXyKv1LFQUtHWyl/+mTycHe3G5nJ5mLnOUUTcq+hPOXryMhvXqwNBAX+pzKr20DQzRZ9YqiWWGFlYweWqHB5dOIz4mWiKvVlYuLROrr3ubbFnHcrh5wh+fPryHlo4eIl6/QEZ6OtZPln5p0K1Tgbh1KhBdRk1DuZolI3m8s501Ak9fkDonPwt7CQBwsiv60dIKCiV/6qEgKQ3zT0qOmvoQ/xl2giTUsNKDtpqyRF4ti8xA1/vY/NMQyJJ1aS+JIQh9I2Ms8N0ssaystQ1s7B1x4VQwPkVFSuTVevlcdG2ytss/j+OXSk1NxdngI3BwKQ87py8boECly9eOxIqLiyvQ9D8rq+xznbz7sS+5T5sxYwaePXuGbdu2SfTVXF1d4eqa/SZmDw8PmJiYYPr06bh37x4qVaoka3Uylfwz509CSUkJrq6uOH78uMTyY8eOif9/tWrVoKGhgfDwcFSsWFHqL2c+rS+hrq6OBg0a4Pfff8ebN2/w+fNnmeWyOvRZo71yMjY2hpeXF9atW4dz587hl19++aptKSqfLl2AkqYmDDwl86YYNWmGlMhIxD+R/zap6AvnAAB6NSTfUKZbszaE6elIeCo9ysCoSTMoqqjg47GgQtj6wtWokRcSExNx4uQpieWH/QNhYmyMinkMJW3UsCHCXrzAvfvZb0hMS0tDwJEjqFihAkxyvKb1/ftw9OrbDxkZ6VjnuxoWMnLEZDl02B9TZ8xEq5YtMHXK5BIV0AKARm52SExJxckHzyWW+998AmMdTVS0lp8cXxahUIibYe+graEqzjllrKOFStamuPMiHPHJ2cdYUkoqbj5/h0rW8gOCJUGjCvZI/JyKk/cln/7733gMYx0tVPzC7RcKhbj5/B20NdQk28jGTE4bvUUl67yT9Zc0TepUR2JSMoIv3pBYfujkBZgY6qGSi/xOr1AoxGQfUUBr6uAe6Ng075xQxU1FRQWubm4Sf1paWmjg5QUFBQUE+PtLlPc/fBhq6uqoUyfvQF3Dho2QmJiIU7k6eAH+/jA2NkaFHIlHswJab9+8wcpVq1GunPyEz5cviwJaVapUwaLFS6Cqqiq3bGFr3KAeEhOTcOLMWYnlh44cg4mRESq6yX9bb+MGngh7+Qr3Hj4SL0tLS0fgseOo5FYeJsbSOY38g4KRlpaGDkwQ/8NRUlaBhYOLxJ+ahiZcatQFFBRw5+wxifJ3zh6DsqoaHKvU/Krve/HwDhQUFKFvKrreV2ngje6TF0n9AUC5mnXRffIiWLuUnBxujT1rITEpGcfPXZFYfjD4DEwMDVCpXMFf3PGlDgWfAQBULl9031FY0oVCvIpJkvj7nJaBe+9ikSEUoraN5P2Iu40+UtIy8Cj8y3OSaagowc1MG69jkpBWwkZpAaJrm2M5V4k/DU0t1PKsDwUFBZw+JvmiqFNHA6CqpoaqteXnMf5a1y+eQ6wgBk1ati30ddOP4fjx42jZsmW+f6GhoeLBNLlHZGWN/M49gkueFStWYO/evVi8eHGBksG3aNECAPDgwYN8SkriSK0SpH///hg4cCAmTJggfvthQECA+HNtbW0MHToUCxYsQHh4OGrXrg1FRUW8fv0aJ0+exPLly6GhIT3sV5YzZ85g7969aNKkCSwsLBAZGYlt27ahWrVqUJMzBztrDuy///6LJk2aQF1dXWKqYufOndG3b19oa2vD27tkJSoW3LgGwc0bsB0yHEqaWkh+9xaGXo2gV7M2QufNEo/eshsxGkZNvHG35/+QEvEBABAZfBQmLdvAZvBwKOvqIunVS+hUqQ7TNu0REXBYXC4nY+8W+BzxQWrKYklQr25deLjXxsw5cxGfkABrKysEHT2Gi5cuYc7MGeI8N/9Mm47DAYEIPHRQHJDq0K4tdu7ejdHjxmHYkCEwNNDHrt178fLlS6xdnf00OCo6Gr379UNkZCSmTZmMqOhPiIrOfsWzqamJeNRW8PET+Gf6DLg4O+PXTh1x/4FkUv3y5Vy+6w2lLJ7lrOHuZIlZB84jPjkF1ka6CLoTgotPX2PWb42glJmjZOqeM/C/9QT+Y/+Ahb5o+sbwzUfhbG4IFwtD6Gqq42NsAg7feIKbz99jQntPiVFNI1t5oM/awxi4PhA9vKpAAcDW8/fwKTEZA5t93U3G9+JZzgbuTlaYtf8s4j+nwNpQF0F3nuHik1eY9XuT7DbafQr+Nx/Df/z/YKEvuiAO3xgIZwsjuFgY5Wijx7j5/B0mdKgv2Uat66DPmoMY6HcYPRpWE7XRuTv4lJCMgd4le8pGbvVrVEadqm6YvnIz4hOTYGNuisCzl3H+5n3MH90PSpn7/ffS9Th08gKOrV+AsiaioMSsNduwL/gcOjatD2dbS9x5nD2CUlVFBa4OJfttmVkcHBzRrn17+K5ZDUUlRbi5uuHKlcvYv38fBg4aJDFdea2vL9b5rcXqNb6oXqMGAKCupydqu7tjzuxZiE+Ih5WVNY4dDcKlSxcxY9Ys8fksOTkZgwcOwJPHjzFq9Bikp6fj/r174nXr6euLn0zevn0bo0aOhKGhIXr2/ktqeqSdvT3KlCm6aUj1PGrDo1YNzJi/FPEJibC2LIsjx0/i4pVrmDN1onifpsyaj8NBx3Bkz7+wMBcFdDu0boGd+w5i1N/TMHxAHxjo62PX/kN48fI11vrIfvHGfv8jMDM1Qd3a8s8x12/dwafMpPsZ6Rl4H/4BwadEQbcaVSvDQF+vEFvg+3Nr7gU1LQ2oZU4vM3d1RLVOoo71/SOnkZr0dSNMSioTK1tUbdgCZ/ZuhqKiEiwcXBB67wZungxEo849oVEm+2bl7L4tOLtvK7pNWghbV9Gbkf3XLoaahibKOpaDlq4+EuMEeHTlLB5ePoM6bTpDS0cPAKBnYgY9E9kPG7T1jWDrVqWod/WL1K9VDXWqV8I0Hz/EJybCuqw5jpy6gAvX72DehKHiY2/SwlU4FHwGR7euRFnT7Id5x85dBgC8eS/qFz58GgpNDdFDGe/6oiDGjfuPsPbf/WjsWQtW5qb4nJKK89duY0/gcdSuWgENPWp8z10uVOFxn3H5RTRauZpCKBTi5acklDctgzp2Bgh4GI7E1Ozph83LmaBFeVMsP/8cIZGiqak9alohOikVrz4liRPFN3I2go66CrbdfFNcu/VVrO0c0LhlW+zcuBaKiopwLOeKO9ev4rj/AfzRewC0c6Tr2LXJD7u3rMe0xStRoUp18fKbVy7ic3IykjKn7r5+EYZLZ0QPcKq714VarpxDJwIPQVVNDfWaNP8Oe0ilUceOHdGxY8cClU1JSYGKigqeP3+O+jlephMSkjUSPv/Rhv/++y+WL1+O6dOn55sH7FsxqFWCNG7cGNOmTcOaNWsQGBiIypUrY9GiRfjtt9/EZXr16gVTU1Ns3LhRPITP2toaXl5eXzQ1wtraGoqKili6dCkiIyOhr68PT09P8VsVZXF1dcWQIUOwZ88erFu3Dubm5jh1Knu0j6enJzQ0NNC6desvTu72PTybMQWWPXqjbLceUC6jjeQ3ryWSvwMAFBWhoKQkkdtRmJ6OxxPGwKpnb5h36QplbW18/hCO1xv8EL5/j9T3lCnvBg1rG7zdtjnv5PTFaMnCBfBZuQqr1qyBQBALO1tbzJszCy1yBCPTMzKQnp4OYY4B36qqqli3ZjUWL/PB3PkLkJycDBdnZ6xa7oMa1bMvxM+fP8ebN28BABMmTZb6/v59+2Bg/34AgHMXLiAjIwP/PX6Mbj17S5UNCjiMshYWhbbvX2vxn95YfuwqVh+/AUFiMuxM9DH39yZoXiV7elO6MAPpGUKJKamVbUxx4v5z7Lz0AAmfU6CtrgZXS2P49Ggh8fZDAKhia4a1fdpgRfA1TNwh6rhUsjbFur5tUdmm5I9CWty9OZYfvYrVx65lt1HXZmheJfvJc3qGMLONsutVtjXHifuh2Hnxfo42MoFPr1YSbz8EgCq25ljbrx1WHL2KidtFI1sr2ZhiXf/2qGxb8tsoN5+/h2LZlr1Yvm0/BHEJsLcyx8KxA9Cqgbu4TEZGBtIzMiTOJ6ev3QEA7D9+DvuPn5NYp4WJEU5uXPRdtr8wjJ8wESYmJti1YyeioiJhYWGB0WPGSiVlFwqlz0kAsHDRYqxcsRxrVq9GrEAAW1s7zJ4zF97Nszv20dFRePhQFDBfuGC+1Da0btMG06bPAABcu3oFn5OT8e7dO/Tv20eqrK+fH2rUKNog89I50+Hjuw4r/TZCEBsHOxsrzJ8+GS2aZr/NSnSOzpBoDVVVVfgtX4QlK3wxZ/HyzHO0I1Ytnoea1apIfc+dew8Q9vIV+vfqlmey/FXrNuHG7bvi/75+6w6u37oDANiwcgkM9KXXXZr8sXomDG2zp/tW79wa1Tu3BgD8beuJqJel64a6IFr1GgYdfSNcO3YA8TGfoGdsiubdB6F2c8m8rcIMIYS5zj+Wzq64c+Yo7p4LRnJiPFTVNWBq7YAOg8ajUr2m33tXCtWyqWOwbMMOLN+8C4K4eNhblcXCv4ejZcPsKZKyzskAMGK65Hl3+6Gj2H7oKADg0Ym9AABjA30oKipizba9+CSIg4KCAmzKmmFwjy7o+UvbUvvmwyy7br+FICkNDRyMoK2ujOjEVOy7+w5nQ6MkyikqKEBJUfJ1BW8FyahmpQdPO0OoKSsiMSUdoVEJ2HL9NV59Svq+O1II+o0cD0NjExzZvxufoqNgYmaO3kNGoVWnLhLlhEKh6IUOuW4ZfJfMw8ccb26/dOYELp0RpYjx3XkIJubZfePIiHDcvXEV9Zu2gFYRPnT5kaSX0Hu0kkJVVRXu7u4ICgpCjx49xMsDAgJgbGwsMW1QlsDAQMycORNDhw5Fly5d8iybux6AAo3qyklBKCshENFXuHz5Mnr06IF9+/Z90dsQ5LnWnK+izUvlfYeKexNKvIzj64p7E0o2xRL0dtISSM21Vv6FfnKJFpWLexNKNNXkT/kX+okNNaxT3JtQ4tW/daG4N6FE62LEYywvw67xNi8/A+vaFvcmlGiuZkWT1L64nQr5WNyb8NUaORrnX6gQ3L59G//73//QoUMHtGnTBrdu3YKPjw+mT5+OX3/9VVyuadOmsLCwwObNovxy165dQ69evVC1alWMGjVKYp0GBgbivNujR4+GjY0NXF1dxYniN23ahPr162PVKsl8kPnhSC36Zh8+fMCrV6+wYMECVKtWrVACWkRERERERET0/VWtWhWrVq3C4sWLcfDgQZiZmWHSpEkSAS0ASE9PR0aOF7FdvXoVqampuHbtmtQorQ4dOmDu3LkAACcnJ/j7+2PDhg1ITU1F2bJl0b9/f/Tt2/eLt5VBLfpmu3fvxqpVq1C+fHnMnDmzuDeHiIiIiIiIiL5BgwYN0KBBgzzL5ExHBABDhgzBkCFD8l13v3790K9fv2/aviwMatE3K+gPl4iIiIiIiKg4lcCXadI3KN3ZCImIiIiIiIiI6KfEoBYREREREREREZU6nH5IRERERERERD+FdM4//KFwpBYREREREREREZU6DGoREREREREREVGpw6AWERERERERERGVOsypRUREREREREQ/hQwhc2r9SDhSi4iIiIiIiIiISh0GtYiIiIiIiIiIqNTh9EMiIiIiIiIi+imkc/bhD4UjtYiIiIiIiIiIqNRhUIuIiIiIiIiIiEodBrWIiIiIiIiIiKjUYU4tIiIiIiIiIvopZAiZVOtHwpFaRERERERERERU6jCoRUREREREREREpQ6DWkREREREREREVOowpxYRERERERER/RTSM5hT60fCkVpERERERERERFTqMKhFRERERERERESlDqcfEhEREREREdFPIUPI6Yc/Eo7UIiIiIiIiIiKiUodBLSIiIiIiIiIiKnUY1CIiIiIiIiIiolKHObWIiIiIiIiI6KeQzpRaPxSO1CIiIiIiIiIiolKHQS0iIiIiIiIiIip1GNQiIiIiIiIiIqJShzm1iIiIiIiIiOj/7N11WFTZGwfwL90dIt0oFqIodicm5q5rxxq75rqra6zdnSiK8bM7EBW7sbsBuygZOoaZ3x8Do9ehVBTQ7+d55nnk3HPu3Hu998zMe895709BImVSrR8JR2oREREREREREVGxw5FaVGQNqjaqsDehSLsQeqGwN6HI6xlXs7A3oUib19q9sDehSLsXmVTYm1Dk1Ux5X9ibUKSJVA0LexOKtNrXzhb2JhR5pz35OZabsq9uFvYmFGmLyt0p7E0o8t7r8OcwUXHHq5iIiIiIiIiIfgoSCacf/kg4/ZCIiIiIiIiIiIodBrWIiIiIiIiIiKjYYVCLiIiIiIiIiIiKHebUIiIiIiIiIqKfQgZTav1QOFKLiIiIiIiIiIiKHQa1iIiIiIiIiIio2OH0QyIiIiIiIiL6KUiknH/4I+FILSIiIiIiIiIiKnYY1CIiIiIiIiIiomKHQS0iIiIiIiIiIip2mFOLiIiIiIiIiH4KGcyp9UPhSC0iIiIiIiIiIip2GNQiIiIiIiIiIqJih0EtIiIiIiIiIiIqdphTi4iIiIiIiIh+ChIJc2r9SDhSi4iIiIiIiIiIih0GtYiIiIiIiIiIqNjh9EMiIiIiIiIi+ilkcPbhD4UjtYiIiIiIiIiIqNhhUIuIiIiIiIiIiIodBrWIiIiIiIiIiKjYYU4tIiIiIiIiIvopSKRMqvUj4UgtIiIiIiIiIiIqdhjUIiIiIiIiIiKiYofTD4mIiIiIiIjop5DB6Yc/FI7UIiIiIiIiIiKiYodBLSIiIiIiIiIiKnYY1CIiIiIiIiIiomKHObWIiIiIiIiI6KeQIWFOrR8Jg1r0xbp27QptbW2sWLHis5YVNhVlJfSs5YCWHlYw1dXA69hkbL/8HNsuvcj3OirYGKJnLQeUszaEuqoyIuJSEHTrDVafDhfUa+NpBd9KNrAx0YY4Q4LwiASsP/8U5x5HFfRufbXElFQs2hKIwxeuQZSQBAfLEujTphGa16iUa7sjF2/g8IXruBP2HBExIpgY6qGimyMGdWgGu5LmgroLN+/H6ev38DoyBilpaTA3MoB3OTf87tsElmbG33L3CpSKkhJalyuJOs6mMNRSQ2RCKoIfRiD4QUSebUuX0MO4JqWyXTY+6B5CoxJzbDuuSSmULqGH4AfvsPbS8y/e/oIkFqdjw5oAHAzch+ioKJS0tEKb9h3RrlPnfLVPSkrCar+lOHH0COLj4mBrZ49fu/dEg8ZNBPWkUikC9+7Gvl078PLFC6iqqMLByQm/dO2OajVrKaz37ZvXWLtqJS5dOI84kQgGhoYo5V4WU2fPLZD9/loZYjEObluPC0eCEBcTDROLkqjj44t6rdrn2fbBzau4dOIwwu/fwfvICGjp6sLOuRSa/9IDdi7Cc2uAT80c11PC2hYTVmz66n0pKElJyVi8YjUOHz8JUVwcHOxs0bvrr2jWqH6ebaNj3mPe0hU4fe4CUlJS4erihD/79YK314f+69Wbt2jq+0uO66hR1Qt+C2YVyL4UJLE4HevXBCBo/175NebboSPad8p5Xz6WlJQE/+VLcfxosPwa+61HTzRs3DTb99qxdQuC9u/Dy5cvoK6mBnsHRwwaMgzlKngI6r598xoB/itx8cI5+TVWukxZTJ89ryB2+6tliMU4s2cTbpw8hITYGBiaW8CrcWtUbdo2z7Zvn4bi+NYAvHv+BElxsVBV14CppTW8GrdG+VqNcmwnlUqxduIwPH9wG16NW6N5r8EFuUuFQkNXBz7j/oS1hztsKpaBnpkJAicsQODEBYW9aYVCLBZj98Y1OHEwEO9jomBuYYmmbdqjmW+nPNvevnYZZ44cwsO7txAd+Q7aunpwci2N9t16w8mt9HfY+q+XmJyChRt24dDZyxDFJ8LRuiT6tG8On9pVc20XfP4qDp+7jDuPn+Jd9HuYGOrDs7QLBv3aGvaWJQR1T1y6gUNnL+N++HM8efkW4owM3N8f8C1366uJxelYFxCAAx/10+06dESHzvnvp1cuX4rjR4IRFxcHO3t7/Na9Jxo1EfbTUyaMR1DgfoX2tnb22LJzt6AsOioKa1evwoXzZxEVFQUjIyN4VamKXv1+h4VFyS/fWaIiiEEt+umM8imNZuVLwu9EGO69EqGaswlGNC0FbXVVrD37JM/2TcpaYGLbcjh69y0m7LmDpDQxrI20YaanIaj3e10n9KnjhB1XXmDJsUfQUFVBxyo2WPCrJ/7eegMn8hEA+Z6GzlmFO2HPMOzXVrAraY4DZ69g5MK1kEilaFGzco7tVu89ClNDffzu2wTWJUzwNioWK3cHo/0/s7B56gg423z44IxLTEbzGpXgaFUCOlqaCHv5Bit2HcaJK7exb94YGOrpfI9d/Wo9ve1Q09EEO268QlhUIspbGqCbly20VFWw986bfK1jy7WXuPc2TlD2IjY5x/qN3cxh8ck5VhTMmzkDRw4eQK/fB6CUexlcDrmAxfNmIykpEV179s6z/bh//sKDe3fx+6A/YW1rh6OHD2HS2NGQSCRo1LSZvF7ASj+sX+2PVr7t0W/QYKSlpWLXtq0YNXwIJs+cjdr1GsjrhoeFYmj/fihpZYUBg4fB3Nwc0dFRuBRy4Zscgy+xedlcXDx+GC279oG9Syncu3YJ21cuREpyEpp16pZr2zMHdiMhPg71WnVASVt7JIhicXT3Fswa8Tv+nDwPpSp8COSMnOun0P7pw3vYvnIRPKrVLvD9+hpDR4/HnfsPMHRAX9jb2iAo+Bj+Hj8ZEokEPk0a5tguLS0Nff4cgfiEBPwz7A8YGxlhy849GDDsH6xcNAdenh4AADMTY2zwX6rQ/vjpswj432bUr5NzALAwzZ0xHYcPHkCf/gNRyr0MLl04j4VzZyMpKQnd8nGNjfl7BO7fu4v+fwyGra0djhw6iAljRkMikaLxR9dYRkYG/h05ArduXMev3XqgbPkKSElOxsP795CSkiJYZ3hoKP7s3xeWVlYYNGS47BqLisLFInSNHQhYiFtnjqBex56wcnRD6K0rOLRuKdKSk1CrbZdc26YkJkDfxAxlq9eDnrEp0lNScPvcMexeOgOxke9Q2/e3bNtdPrwXMe9ef4vdKTS6Jkao2e9XvLx5Hzf3BKNm3/z9SP9RrVowE6eDD6JTr9/hXModNy6HYM2SeUhOSoLvbz1zbRu8byfi40Ro3q4TrO0cESd6j/3bNmLMoF4YM2sRynl6fae9+HKDpy3FncdPMLx7e9hblUDgqYv4a/YKSCVStKjrnWO71TuDYGpkgN87+sC6hDneRsVg5fZAtBs6AVtmj4WLnZW87tGQa7j5MBylHW2hrqaKu6HPvseufZXZM6bjcNAB9O0/EKXdy+BiyHksyOynu/fKu58ePXIEHty7iwF/DIaNnR2CDx3Ef2NGQyoV9tMAoKGhicV+Kz4pE34/TEtLw8B+vREfF4fevw+Ag4Mjnj97ilUr/XAx5AI2bd8FHZ3i8Z2bKD8Y1KKfiqOZDlpVtMLy46HYcP4pAODas/cw0FJH79qO2HXlBeJSxDm2N9PTwL8t3bH76kvMDLovL7/69L1C3ZYVrXD92XvMPPCh3sWwaBz6qw58KlgWqaDW6Wt3cf7WA8wa3B0+mQGsqmVd8SbqPeb+bw+aVfeEinL2KfiW/vM7TAz0BGVVy7qi0aD/sP7ACUzq/6u8fFyfjoJ6Vcq4wNrcBP2n++H45VvwrV+tgPes4FkZaKKusym2XX+FwLtvAQD338VDT0MFbcqXxNFHEUhMy8hzPW/jUnIdlfUxUx11dPK0xvKz4Rhez+Wrtr8gPQkLQ9C+PegzYBB+6dodAFCxUmWIRLH4X8BqtPZtD30Dgxzbh5w7iysXQzBu8jQ0zLwb6VnZC+/evoHf4gWo36gxVFRUAAAH9+9FuQoeGDHqX3n7ylW84dusEQ4dCJQHtaRSKab+Nw5mJUpg8crVUFdXl9ev30g4+quwvH4WjvPBgWjVrR8at5NdH67lPZEYJ8LBretQu3kb6Ojp59i+08AR0Dc0EpS5V6qK//p0xqGt6wVBLcdSZRXanz24D0pKSqjeuEUB7dHXO30+BBcuXcHMiWPRvLHs/7JKpYp4/fYd5i1ZgaYN68nPhU/t2h+E0PAn+N/KJfAoV0bW1rMi2nfrjflLV2DT6uUAAHV1dVQo667QfuFyf2hpasrftygJDwtD4L496DdgEH7NvMY8K1WGSCTCutWr0CaPa+zCuTO4fDEE/02ZhkZNZD+MPCt74e3bN1i2aD4afHSN7dy6BSHnz2HZqjUoW668fB3VPxkJKZVKMfm/sTAvUQJL/QME19inIywLS8SLp7h+4iDqd+qFGi1lI2jsy3ggOT4Op3dvROVGLaGlm/M1Zl/GA/ZlPARlrpWq4X3EW1w9diDboFZsxFsc27IKbQaOwrZ5/xXo/hSm6GcvMdxIdj7omBj91EGtF0/CcDxoH37pPQCtO3cFAJTxqIR4kQg7NwSgUStf6OnnfD32GfI3DIyEo9I9qlTDn118sXvj2iIf1Dp15RbO37iLOX/1g08dWQCravnSeB0RjdlrtqFZrSpQUcn+u+KycUNgYii85rzLl0LDPn9j3d5gTBn8ISA4+Y8eUM78zjnZb0ORD2qFh4UhcO8e/D5wELp0y+ynK8v66bWrV6Ftu9z76fNnZf30hCnT5AGsSpW98PbNGyxZKOynAUBZWUnQR2fn5vVrePH8OUaPHY+WbdrKt0lbRwcTxv6LK5cuok69vEdBExUXTBRP2Ro1ahRatGiBU6dOoUWLFihXrhx8fX1x48aNwt60r1KnlDmUlZSw//orQfn+G6+gqaaCas6mubZv7WkFbXVVrDuX94gucYYUCanCAFlahgRpYtmrKDl66Sa0NTXQpFpFQXmbulUR8V6EW4+f5tj204AWAJgbG8DCxBBvohWDfZ8y0pe1z+mLUFFT2dYIykpKOBUaKSg/FRoFDVUVVLDK+YvLl+pTzR63X8fhyovYAl/31zh76gSkUimatWglKG/WohVSU1Nw8cL5XNufPnkCWtraqNtAOAqnWYtWiIqMxP27d+RlKiqq0NXVFdTT0NCAurqG4Ef1zevXEProITp0/lVQXpTcvHAGUqkU1Ro2F5RXa+SD9NRU3L0akmv7TwNaAKCppQ0LW3u8j8o9WJ6SlIRrZ0/ApawHzC2tP3/jv5Hjp85CW1sLjevXFZS38WmKiKgo3L57P/uGAI6dOgt7Wxt5QAsAVFVV0KJJI9y+9wDvIiJzbPvi5StcuX4TjRvUhW4RvGt9JvMaa96ytaDcp6XsGgvJ6xo7IbvG6jUQTplr3lJ2jd27c1tetn3rJlSo6Jnnj6Ub167i8aOH6PhL0b3GHlw5B0ilqFhXOHXHo24TiNNSEXrj8hetV1tPH8o5BFf3+8+DY7lKKF2laI74o6936dwpSKVS1G0mvCFQr1kLpKWm4sal3EcqfhrQAgAtLW1Y2zsgKvJdgW7rt3D0wjVoa2mgSU1h8M23YQ1ExMTi1qPwHFpCIaAFAOYmRihhYoS3UTGCcuUcbqIWVadPyvppny/sp0+dPAFtbW3Ubyjsp32y6afzS1VVNm5F55PvTXp6su/cRbXv/p4yJNJi+yJFxavXoO8qMjISEydORO/evbFgwQKoq6ujd+/eiI6OlteRSqUQi8UKL6m0aF5wTma6iElMQ3RimqD88bsE2XJz3eyayXnaGiE2KQ32pjrY+Ls3LoxriMN/1cUon9LQURd+0d168RmqOZugVUUr6GmqwkRXHUMbu0JHQxVbikg+pCyhL97A0aoEVD/5su6WORz88Yv8TanL8uJdFF5HxsDZOvs5++KMDKSkpeH+kxeYsXYn7Euao2FVjy/a9u/NxlALouR0iD4Z0fc8c+qgjaFWvtbTs6od/vdbZazq7IlRDV3hlsO5V9fZFE6mOlh7qejdqQwPD4OhkRFMTIXBYCcXVwDAk/DQXNs/CQuFnb2D/MuXvL2zbDRaeNiH9u07/4JLIRdwYO8exMfFIToqEkvmz0VCYgLafZRb6Ob1awAAbR1t/D30TzSq6Y2mdWpg1LDBePY072D09/D6WTh0DQxhYGwiKLdycMpc/vnbmZyYgBdhj2Bp65BrvSunjyI1JRk1mrT87Pf4lh6HP4GjnR1UVYV9kKuzo3x5TkLDn8jrZdc27MnTHNvuDjwIqVSKdi2b51inMIWHheZ+jYXlfo2Fh4fCPttrzDVz/WEAgHdv3+LN69dwcnbGiqWL0bJJA9TxrozfOrbDwcB9grbya0xbB38N+QP1a1RFo9rV8XcRusYiXzyBtr4hdA2FQYQStrJzIuJF/rZTKpFAkpGBxLhYXA7ei7BbV1CjlWLupGvHD+BV2AM07/nn1288FVkvnoRD39AIRsbC69HO0UW+/HMlJiTgyaOHsLFX7MOKmsfPXsHJ2lLhu6KrvU3m8peftb4XbyPwOjIazrZWeVcuwnLqp51dXOXL82qf3XehrPZhmf10ltTUVLRo0hA1q1RC6+ZNMHfmDMSJRII65Sp4oFTp0li9cgXu3b2LpKQkPHxwH35Ll8CtVGl4Vc09BxpRccPph5Sj2NhYLFiwANWqyaaEeXl5oU6dOli3bh2GDx8OADh16hTKlCmTbfu6det+r03NNwNtNcQlpyuUp6RnIE0sgYG2Wq7tzfQ1oammgukdKmDd2Se4degh3K0M8HtdJziZ66Lvmg93fzdffI4UsQR/Ny+Fca1kxyg2KQ0jNl/HrSI24iY2IRHW5oqj1Ax0tQEAovj8TZMDZAGrcX6boK2pgW4+9RSWR8bGoW6/MfK/y7vYY81/g6GjWfTyRWVHV0MViWmKU1RTxRKkZ0igq5F7t5qUnoGD997i/rt4xKeKYaGnCZ8yFhjbuBRmH3+EW68/5Nky0lJDl8o22Hz1JWKzOW8LW5xIBP1splpoaWlBTU1N4UtWdu0trRS/zOob6MuXZ+nwSxdoaGhgwewZmDV1kqyevgGmz10gSGAdFSEbqTRj0kTUbdAQM+YtRHR0FFb7LcOf/XpjzaatMDE1++x9LUiJ8XHZTi/U0NSCqqoaEuNyP27Z2bJsHlJTktE0j3xc54IDoaWji4o16nz2e3xLIlEcrC0Vg+AG+vry5TmJFcXJ631MP7MsNoe2GRkZ2Bt0GA52tqhYodyXbPY3l9c1JsrjGhOJRLDMZkTeh2ssFgAQGSm7bg4GBsLM3BzDRo6Crq4u9u3ZhakT/0N6uhit2voK6k6bNAH1GjbErPmLEB0VBX+/pRjUtxfWbt4G00K+xpLi46ClqziKWF1TCyqqakhKyPl8+tiBgIW4ejQQAKCiqoam3f9A5YbCgHBcTCSCN6xAo1/7Qc8499HeVLzFx4mgm03framlBVU1NcR/Qd+9euEspKYkw7dL7vm4ioLY+ATYWChe2waZ+VBjP/O74thFa6GtqYnurRsX2DYWBlFe/XRsfr4L5d1PA7JA1x9DXOHo5AwAuH7tKrZu2oArly9h9foN0NaWfW9XVVXFYj9/TBz7L/p0/zBd2rNSZUybNQeqqrn/3iEqbhjUohzp6enJA1qA7AeCt7e3YApipUqVMHr0aIW2//1X+PkkVJSUBH9nZI4ey20UWV4DzJSUAE01FSw5+gjrzj0FIMvJJc6QYETTUqjiYIxLT2TDqFt6WGJEUzdsv/QC50OjoKaijOblS2JO54r4e9sNhIRF5/JO398nh+uThflbh1Qqxbjlm3DtfhgWjOiNkqaK06SM9HSwdfpIpKWLEf7qLQL2HUXPiYuwdsJgmBkV/NS9r6H8yX5njfjN7TzJ6xx6FpOE/8Ukyf9+GJGAy8/fY2arsvjF0wa3Xt+VL+vtbY/nMUk4/jjn6VPfi1gsDOTJ8zvkcm4o5efEyeXEU/poWdD+vVg8bw7aduiEqtWqI10sxuGgQIz5axgmz5yDKtWqAwAkUtnU3jLlyuHvsePl7R2cnNHnt1+we/s29BkwKO/tKiAZGcLjpqwsO265HRulXC9GRfv+549LJ4PRqf8whacffuz1s3A8fXgPdVr4Qk29CAaRc9vvPI5Jbscsp2XnQi4hIjIKI/7on6/N+9ZyusZy37e815t73y5bKJXIrpu0tFTMWbgYFiUtAQBeVb3Ru1sXrF21Uh7UkmR2hGXKlceosR8+6x2dnNHzt87YtX0b+n3Ha0ySIcxhqJQ5dakgrrFabX6FZ73mSIyLxcOrF3BwzWKkp6agessP+SEPrFoACzsneDbw+YKtp6Iqx777K6/Hj20J8MOZo4fQa/BfxebphwXwVRFSqRRjF63B1buPsHD0IJQsRk+/Lsx+GgA6dxHm86vi7Q1XNzeM+Wck9u3eJV8uFqdj/Oh/EB4WhlFjx8HWzh5vXr3C2oBVGDJoABb7rYBuNoH/nwmn8f1YGNSiHBkbK37ImJiY4OnTp/K/9fT0UK6c4h3uwn6iRkkDTewbKnyy1+9rL0OUlA5Xi2zusqmpQF1VOdtRXB8TJaUDJsCFTwJS5x9HYURTwK2kPi49iYGepir+bl4ae6+9wsIjjz7UC42CX/fKGOXjjjaLznzFHhYsQ12dbO+wiRJkwRcD3bz/P6VSKcb7bULgmcuYNqgr6ntln5dFVUUFZZ1sAQCepRxR06M0mvwxAav2HMHonu2/Yi8KlqmOOha1qyAom3z4ARJSxbAz0laor6GqDDUV5WxHceUlKT0D11/GoqGbOdRUlJCeIUUVWyOUt9LHxEMPoK0mHOqvqqwEbTUVpIol8mDtt/Tm9Wt0biPMIbJg+UroGxgg9NFDhfrJyclIT0+HnkHOiZgBQN/AINvRXHGZI2v0MkfaxMfFYcGsmfBp3QYDhwyT1/OuXgND+vfF3BnTsHWvbDSFgYEhAMDLW/jQARdXN5iYmuLRwwd57G3BiX73BmN7dRCUDZu+CDp6+ngR/lihfmpKMsTidGjnkiT+U4GbAnBwyzq06tYPdVu2y7Xu+eADAIAajYvW1EMAMDDQz3Y0lihOVmagn/OXb0MDfcRmdx7l0XbX/oNQVVVFy2aFP0rgzevX6NBaGBRZ5OcPfQMDPM7lGstudMDHDPK4xrLaZ103tvb28oAWIPuhVtW7Gv63NgDvY2JgZGwMg8yEx1WrfXKNuWVeYw9yzn9W0GIj3mLhYOGTDLuPmwttPX28fRamUD8tJRkZ4nRo6eTvx5yBaQkYmJYAALhUlE3XObZlFSrUaQwdfUPcCzmF0JuX0XPCQqQmCT9DM8RipCQmQE1DEyqq/LpdnES8fY1Bv7QRlE2Yvxx6+gZ4GvpIoX5KcjLE6enQ1cv/jbnt6/yx838B+KX3ADRr2zHvBkWAoZ5u9t8VM8sM8vEEa6lUirGL12D/yQuYPrQPGnhXzLNNUfHm9Wu0ayXsp5f4+cMgr346lyTxgOy7UHajuT7tp3NSp159aGlp4e5Hubf279mDC+fPYfX6DSjtLpst4lHRE+U9KqJDm5bYumkTevf7Pdf1EhUn/JSlHMXExCiURUdHw8yscKcV5EdkfCq6rRQmW34WnYjQiAQ0KVcSJjrqgrxazpn5jMIiEnJdb2hEPMrbGCqUZ91EyRoFZmeiA001Fdx7rfgj7f7rOFSyN4aWmgqS0/N+St734GJriaBzVyHOyBDkSnj0XPZocheb7HNjZckKaO0+eRGT+/+KlrXz/wQfCxMjmBkZ4OmbovM0SAB4n5yOMQfuCsreiFLw4r0uqjuYwEBTVZBXKyuX1ovM3FpfLDNGZWOkBVVlZUxurvi0tvqu5qjvao55Jx5/l+TxpmZmWLF2g6DM1s4Ojk7OOB58GNFRUYJcEuGhsoCNg6Nzrut1dHbGseDDEIvFglwSWfknsobXP3/2FKmpKShVWnGqs1tpd9y4dhVJSUnQ1taGo3POT4eUSgHlz72V/hUMjE0xasEqQVkJK1tY2t/BldPHIIqJFuTVevVU9iPc0i73vFhZAjcF4MDGAPh06YVmeUw7FKen4+Lxw7B1doONU9F5gmYWFycHHDxyHGJxhiCv1uMwWe4jF8ecj4mLk6O83sceZZY5Z9M2OuY9Tp27gHq1qsPEWHFE6fdmamaGVes+vcbsccfZBceyucbCsq4xpzyuMScXHA0+lM019jhzuSyPm6W1NTQ1NbNdR9bnmlLm0FUnl1zOH+n3TfKsZ2yCvlOXCcpMLG1g/sgBd86fQEJsjCCvVlYuLXOb/F1jn7JyLoWrR/fj/bs30NE3RMSLp5BkZGD1uD8U6l47fgDXjh9ApxETUcqLyeOLEyMTM8zwWysos7Sxg62DE84dD8b7mChBXq3nT2SfWTYO+cuLtX2dP7at9UfHHn3h+1vRn3aYxdXeCgdOX1T8rpiZS8vFLveHj2QFtHYfPYcpg3ugVb2i/8Trj5mamWH1esV+2snZBUdz6acd8+innZxdcPSwYj+d1d4ps5/OjVQqFYwWe/zoIVRUVOBWSjgC0MraGgYGhnnm+SIqbpgonnIUHx+PCxcuCP4OCQlBhQoVcmlVNIglUtx/Eyd4JaVl4PTDCEikUvh4WArqt/CwREp6Bi6ERuW63uP3ZIGX6p88JbG6i+zv2y9ld1oi41MBAGWtFe+ulLU2gCg5vcgEtACgYZXySEpJxZGLNwTle09dhLmRAcq72OfYViqV4r8Vm7H75EX817cT2tbz/qz3fvY2Eu+iY2GbTZ6GwpQhkeJJdJLglSKW4MqL95BIpajtJDwHajuZIlWcgZuvPj+nho66CipaG+JpTCLSM4dDnwqNwuTDDxReAHD5+XtMPvwAD/MIwhYUNTU1lHJ3F7y0dXRQs3ZdKCkp4fCBQEH9Q4H7oaGhiaqZUwJzUqtufSQnJeH0iWPC9gf2w9TMDKXLlAUg+yIJQHAXEpCde/fu3Iaevj60tGRBxarVa0BTU1PhyYuPHtxHTHQU3Mvm/mS3gqSqpgY7l1KCl6a2Nip414SSkhJCjh0U1A85ehBqGhooUynvayho81oc2BiAZp27o8WvvfKsf+viWSTExaJ64xZ51i0MDerUQlJSMo6ePCUo3xt0GOampihXJuepOQ3q1MSTZ89x6+49eZlYnIEDh4+gfJnSMDdTzHO0/2AwxGIx2haRBPGya6yM4PXxNXbwwH5B/YOB+6ChoQnvPK6x2nXrITkpCaeOC6+xg4Gya8y9rGyktaqqKmrWqYtnT57gzevX8npSqRQXL5yHlbUNDDOfuuldvSY0NTURcv6cYJ0PH9xHdHSUfJ3fg4qqGiyd3AQvDS1tuFWuASgp4capw4L6N04dhqq6Bpw98n/j5WNP796AkpIyjErIbvR41GmC7uPmKrwAoJRXDXQfNxe2bkUzXxvlTE1NDU5u7oKXlrYOvGrUhpKSEk4dPiCof/JQINQ1NOBRJe8gzY71q7FtrT/ade2FDt37fqtd+CYaensiKTkVweevCsr3HjsHc2NDlHfNOagnlUoxbvFa7D56DhMGdYNvw1rfenMLnJqaGkq7lxG8dHR0UKuOrJ8OChT200H789dP16lbD0lJSTj5aT99QNhP5+TEsaNISUlBmY+eXGtqZoaMjAzcvye8Ofv82TOIRLEwNy+Rn10mKjY4UotyZGhoiDFjxmDw4MHQ09ODv78/AKB79+6FvGVfLjwyEfuuv0K/uk6QSKS49zoOVZ1M0LaSNZYfD0XcRyNv+tR2RO86jhi0/iquPXsPALgYHo3TDyPQp44jlJWAOy9FKG2pjz51nHDmYSRuZo6aeReXguP33qGtpzXSxRKcexwFdVVl+FSwhIetEZYfV5x6VJhqVSyD6uVLYZL/NiQkpcDWwgxB567i7I37mPlnN6hk3nkft3wj9p66hEOL/4NlZg6EaWt2YOfxC/Ct5w1XW0vcfPRhxIS6mipKO8ieivPw2SvMXLcLjb09YG1uCmVlJTx6/hr/O3AChno66Nmywfff8S/wSpSCk6FRaOdhBYkUCItORPmS+qjvaobt118hMe1DsLJteUv4lrfE1CMP8eBdPABgUC1HRCemITwqUZYoXl8DPu4WMNBSxYrzH45dVGIaoj55SmeW90lpuJ+5vsLk4OSE5q3aYI2/H5RVlFHKvQwuh1zA/j270Lv/QMGQ+7WrVmL9an/MW+oHD89KAGTTBytX9ca8mdORmJgIK2sbHAs+hEsXzmPspCnyXBUlLEqidr36CNyzC+rqavCuXhNp6Wk4fCAQt2/eQO/fB8rvUOrp6aHX7wOwbOF8TJ/4Hxo0boKY6GisXrEcJSws0KZ9B8Ud+c4s7RxRvXELBG4MgLKyMuxcS+P+tUs4e2gfWnbtK0gif2DTGgRtXosh0xbAtZxsmsbRXZuxf8MquFeqirJe1RD+4I5g/Y6lyiq857ngQKhpaKBK3UYKy4qCWtWqolqVypg8awESEpNga22FoCPHcC7kEqZP+Fd+LoyfOgv7Dh5G0PaNsCxpAQBo26IZtuzcgxFjJmLogL4wNjLC1l178fTZC6xcNCfb99u1PwgWJcxRo+qXBTe+F0cnJ7Ro1QYBK/2grKyC0u7uuHQxBPt270LfAYME19ga/xVYu9ofC5b6oWKlygCAajVqwquqN+bMnIbExERY29jgyOFDuHjhPMZPmvohNx6Avv0HIuT8OYwYPAi9+v0OHR0d7N+zB6GPH2HS9Jnyenp6euj9+wAsXTgfUyeMR8MmTRETHQV/P9k15tu+8KdSmdvYo2K9Zji5Yx2UlVVg6eSGsFtXcPXYAdTv2BNauh+usVM71+PUzv+h29g5sHeX3bTbv3IeNLS0YeVcCjoGRkiKF+FeyCncvXAS1Vt2hI6+IQDA0NwChuYW2W6DnpEp7Mt4fOtd/S7KNK0LDR0taOjJRrWXdHeGZ7tmAIDbQSeQnpxSmJv33dg4OKF+81bYtsYfysoqcHJzx80rITgauAede/WH3kfTxLavW4Ud61dj/NylKOPhCQDYv20jtq5ZAY8q1eDpXQOP7glv1Li6F+0AaO3K5VHdowwmLfsfEpKSYVfSHAdOX8SZa3cwa0RfqKjIviuOWRSAvcfO47D/DFhlPoRo6spN2HnkDHwb1YSrnTVuPPgwPVhdTRXuTnbyv19FROHO46cAgBeZo/gPn7sCALAyN0FZly8bafmtODo5oUXrNli90g8qKrJ++mJICPbu3oV+n/TTAf4rsGaVPxYtU+ynZ88Q9tMh58/jv8kf+uk3b15jwph/0bBxE1jb2EBJSUmWKH7zJjg4OqFVm7by9/Fp2RpbN23Ev3//hR69+sDW3h6vX77EujUB0NLSQpt2RSfdR2FhTq0fC4NalCMzMzP89ddfmDVrFp4/fw4XFxesXr0apqaKd72LkxkH7iMiLhUdq9jCRFcDb2KTMffQA2y79EJQT0lJCarZTKP4d8ct9K3jhLaVrNG3jhMi41OxOeQZ/E8J83eM23UbHavYoFl5S7SsaAVxhgTPo5MwbtctHLr99pvu45dY8FcfLNq8H0u2BUGUkAQHK3PMHtIDzWtUktfJkEiQIZEIku2fvCr7Qb3rRAh2nRBO+bQ0M8aRpRMBACYGejA3MsDa/ccRFRsHcYYEFiaGqONZFn3bNs42qXxRtSbkGd4npaFxKXMYaqkhMiEV6y8/R/AD4RRKZSVARVmYrvj5+yRUszdGA1czaKqqICFVjIcRCVh29gnCo/P/5KCiYvg/o2BmZoZd27YgJjoaFiUt8efwkWjXqbOgnlQiQUZGhsKDGibPnINVy5ciYIUf4uNEsLWzx/gp09GgcRNBvbGTpmL39q0IDjqAoP37oKqiCmtbW4ydNAUNmzQT1O3UpSt0dHSxY+tmHAs+BG1tHVSpVg39Bg3OM7fF9/LLwBEwNDHFyf07Efc+BsYlLNCh3xDUayX8oimVSiCRZAieQHDrkmyEzL2rF3Hv6kWFdS8/cFbwd0zkO9y/fhlV6jWGlo7uN9ibgrFg+iQsWrEKS/3XQBQXDwc7G8yaNA7NGtWX18mQSJCRIcHHZ5G6ujr8F8/F/CUrMH3eYqSkpMDN1RnL5s2El6eHwvvcuHUHT549R/9e3b7rVLkvNWLUaJiam2Pnts3ya2zIiJFo3+kXQT2JVCq7xj5pP3XWXKxctgSrVyxHXJwItvb2mDB1Oho2biqoZ2Vtg2UrA+C3dBFmTZsCsVgMF1dXzJi7ADVqCXNU/vJbN+jq6mL7ls04mnmNVa1WHf3/KDrXmE+vIdA3MsWlw7uREPsehmYl0LT7IFRt2lZQTyqRyhLlf3SNWbu648bJQ7h5OhgpSQlQ19RCCVsntB00CuVrFc3A8Lf06/IpMLH/MLWsUscWqNRRNupzjH1NRGdOP/sZ9Bn6D4xNzXBw9zbExkTDzKIkev4xHM18Ownqyfvuj67IK+dluVRvXLqAG5cu4FPbT1z6ptteEBb9OwgL/7cLizfugSg+EY7WFpgz8nf41K4qryPJkCJDIvl413Hi0g0AwK4jZ7HriPAzytLcBMdWz5b/fenWA/y7MEBQZ+gM2TTjNvVrYPqw3gW8V19v5KjRMDMzx/atsn66ZElLDB0xEh06f9JPSzL76U866umz52LFsiVY5Sfrp+3s7TFx6nQ0avKhn9bR0YWxiQm2bNqAmOgYSCQZsChZEh06/YLuvXrJR6wDQAkLC6xevwEB/iuxYf1aREdFwcjYGGXLlUevvv1gZ2//LQ8H0XenJM3tUXD00xo1ahTu3LmDwMDAvCt/I14TgwvtvYuDC20KewuKvm43i0+grDDMa62Yr4s+uBeZlHeln1xN49wfrvGzE6kaFvYmFGlHwhRzd5LQaU/m48rNwFc3C3sTirSyCXfyrvSTe1+y+CSrLwwmeooPR/oRzDhRtGbNfI5R9YpebtTCxpFaRERERERERPRT4PTDH0vRH3dPRERERERERET0CY7UomzNmDGjsDeBiIiIiIiIiChHHKlFRERERERERETFDkdqEREREREREdFPgTm1fiwcqUVERERERERERMUOg1pERERERERERFTsMKhFRERERERERETFDnNqEREREREREdFPgTm1fiwcqUVERERERERERMUOg1pERERERERERFTscPohEREREREREf0UOP3wx8KRWkREREREREREVOwwqEVERERERERERMUOg1pERERERERERFTsMKcWEREREREREf0UmFPrx8KRWkREREREREREVOwwqEVERERERERERMUOpx8SERERERER0U+B0w9/LBypRURERERERERExQ6DWkREREREREREVOwwqEVERERERERERMUOc2oRERERERER0U9BzJxaPxSO1CIiIiIiIiIiomKHQS0iIiIiIiIiIip2GNQiIiIiIiIiIqJihzm1iIiIiIiIiOinkMGcWj8UBrWIiIiIiIiIiEju1KlTmD9/PsLCwmBhYYEePXqgS5cuebZzc3NTKDM1NcW5c+cEZZGRkZg6dSpOnz4NZWVl1K9fH//++y8MDQ0/azsZ1CIiIiIiIiIiIgDA9evXMXDgQLRu3RqjRo3CtWvXMGXKFKirq6NDhw55tu/atStatGgh/1tNTU2wXCwWo0+fPkhPT8esWbMgFosxe/ZsDBw4EBs3boSSklK+t5VBLSIiIiIiIiL6KXD6Yd6WLl0Kd3d3TJs2DQDg7e2NN2/eYOHChWjXrh2UlXNPz16yZEl4eHjkuDw4OBgPHjxAYGAgXFxcAADm5ub45ZdfcObMGdSuXTvf28pE8UREREREREREhLS0NISEhMDHx0dQ3rJlS0RGRuLevXtf/R6nTp2Cm5ubPKAFAJ6enrCyssKpU6c+a10MahEREREREREREZ4/f4709HQ4OjoKyp2dnQEAYWFhea5j5cqVKFOmDCpXroyhQ4fi9evXguVhYWFwcnJSaOfs7Jyv9X+M0w+JiIiIiIiIiIq4Bg0a5Lr82LFjX/0eIpEIAKCvry8oz/o7a3lO2rRpg7p168LU1BSPHj3C8uXL8euvv2Lv3r0wMDAAAMTFxUFPT0+hrb6+PoNa9OO42NW4sDehSDspsSvsTSjy1lgGFvYmFGlS9bKFvQlFmvfNdYW9CUVfwx6FvQVFmj5SCnsTirROpu8LexOKvLKvbhb2JhRpy6wqFPYmFGmLI04X9iYUeQaPThT2JhRtlXzyrlMMZUh/vpxa8fHxiIiIyLOejY2N/N85JWvPK4n7zJkz5f/28vJCpUqV4Ovri23btqFv3765rkcqlX5WkniAQS0iIiIiIiIioiLvS0diHTlyBKNHj86z3p49e+SjqT4dkRUXFwdAcQRXXkqVKgUHBwfcvXtXXqavry9f38fi4+M/e/0MahERERERERER/aB8fX3h6+ubr7ppaWlQU1NDeHi44CmEoaGhAJBtLqy8SD8ZHefk5IT79+8r1AsNDUW9evU+a91MFE9ERERERERERFBXV4e3tzcOHjwoKA8MDISZmRnc3d0/a33379/H06dPUa5cOXlZnTp18OjRI0H+rBs3buDVq1eoU6fOZ62fI7WIiIiIiIiI6KeQIfn5cmp9rkGDBuG3337D2LFj0bJlS1y7dg3bt2/HpEmToKz8YWxUo0aNYGlpiXXrZLloV69ejRcvXqBKlSowNjbG48eP4efnBwsLC3To0EHernHjxnBzc8PgwYMxfPhwZGRkYNasWahUqRJq1ar1WdvKoBYREREREREREQEAKlasiGXLlmHevHnYs2cPLCwsMHbsWEFgCgAyMjIgkUjkfzs4OCA4OBhBQUFITEyEkZER6tSpg6FDhwpyZamqqsLf3x9Tp07FyJEjoaSkhPr16+Pff/9longiIiIiIiIiIvpyderUyXMq4PHjxwV/169fH/Xr18/X+s3NzbFw4cIv3r4sDGoRERERERER0U+B0w9/LEwUT0RERERERERExQ6DWkREREREREREVOwwqEVERERERERERMUOc2oRERERERER0U+BObV+LBypRURERERERERExQ6DWkREREREREREVOxw+iERERERERER/RQyJJLC3gQqQBypRURERERERERExQ6DWkREREREREREVOwwqEVERERERERERMUOc2oRERERERER0U8hQyIt7E2gAsSRWkREREREREREVOwwqEVERERERERERMUOg1pERERERERERFTsMKcWEREREREREf0UmFPrx8KRWkREREREREREVOwwqEVERERERERERMUOpx8SERERERER0U9BzOmHPxSO1CIiIiIiIiIiomKHQS0iIiIiIiIiIip2GNQiIiIiIiIiIqJihzm1iIiIiIiIiOinkMGcWj8UjtQiIiIiIiIiIqJihyO1ioj69eujbt26GD9+/Hdpl521a9fCwcEBderU+ep1FUWJySlYuG47Dp0JgSg+EY42JdGnQyv41K2Wa7u3kdEI2BmE+2FP8fDJc8QnJmHa8H5o20jxOKWlpeN/+w5jz9EzePU2EtpaGnB3tseAX9qiorvrt9q1ApchFuPgtvW4cCQIcTHRMLEoiTo+vqjXqn2ebR/cvIpLJw4j/P4dvI+MgJauLuycS6H5Lz1g51Iq2/c6sX8HLhwJQuSbl1BVU0dJG3v49h4EJ/dy32L3vkhSShoWB55G8LUHECUmw6GECXo19kazyu65tgt58BQBR0IQ9iYKsYnJ0NXUgLOlKXo0qIpaZZ0EdU/dDsXha/fx4GUEnr6Nhlgiwa2lo77lbuUpKSkJS5YsQfCRIxCJRHCwt0fPXr3QrGnTPNtGx8Rgwfz5OH3mDFJSUuDq6oo/Bg1C1apVFeqGhIRg6bJlePToETQ1NVG7Vi0MHTYMJsbG8jqvXr1Ccx+fbN9rxowZgm1avnw5/FasUKinrq6Oy5cu5WfXC1xSajqWHrmC4NvhiEtOhb2ZAXrW9kDTCk65tgsJfYW1p28i7N17iJJSoKupDucSRuhaqzxqudnK671+Hw+f2VtyXE91F2ss7dmswPbnayQlJWGx30ocPnocorh4ONjZonf3rmjWuGGebaNj3mPe4qU4ffa87Lxyccaf/fvBu0plQb2e/f/AlWvXFdrX8K4Kv0Xz5H/fvf8Au/cfwNXrN/D6zRtoamrCxckJfXt0Q1WvSl+/s18gKSkJi5evQPDR4xDFxcHBzg69enRFs8aN8mwbHROD+YuW4vTZc5nXnQv+6N8P3lW8cmyTkpKCDl264dnzFxg++A/06NpFvuzt23eYMXceHj4KRXRMDFRVVGBtZYm2rVuig29bqKoWna+SicnJWLRmCw6dOg9RXAIcbK3Qt3MbNK9XM9d2byOjsWb7PtwPfYKHYU8Rn5iEqSMHoW2Tegp1uw8fj8u37imU16zsgZUzxhbYvhQGsViM3RvX4MTBQLyPiYK5hSWatmmPZr6d8mx7+9plnDlyCA/v3kJ05Dto6+rBybU02nfrDSe30t9h6wuPhq4OfMb9CWsPd9hULAM9MxMETliAwIkLCnvTvkpSUjIW+a/B4eOnIIqPh4OtDXr/1hnNGypeF5+Kfv8e85b549T5i0hJSYWbsyP+7NsD3pU9BfXS09OxYt1G7D98DO8io2BmYozmjepjQM/foKmhkeP6L1y+hr7D/gEAnAncASNDg6/b2QKSmJKKRduCcDjkJkSJSXCwNEeflg3QvHrFXNsduXQLhy/exJ3w54iIEcHEQA8VXR0wqF0T2JU0E9TtMXkpLt8PU1hHjfJuWDnq9wLdH6Liouh8E6FCt379etStW/eHDWoNnjwfdx6HY3jPzrC3skDgyfP4a+YSSKUStKhXI8d2z9+8Q+CJcyjlZIfaXhVw4OSFHOuOW7QKgSfOoW/HVvCuUAai+AT4b9+Pbn9Pwca5/6G8W+4/XouKzcvm4uLxw2jZtQ/sXUrh3rVL2L5yIVKSk9CsU7dc2545sBsJ8XGo16oDStraI0EUi6O7t2DWiN/x5+R5KFXhw49ESUYG/Kb8i7B7t9Co3a9wKl0WqSkpeB76EGmpKd96Nz/LMP9duPPsDYa2rgu7EsYIunwP/6zZB4lUCh+vMjm2i01MhlNJU/hWrwBTfR2IEpOx/ewNDFq+HdO6t0CLKmXldY/ffITbT1+jlHUJqKuq4N7zt99j13I1bPhw3L17F0OGDIGdnR0OBgVh1KhRkEokaN68eY7t0tLS0K9fP8THx+PvkSNhbGyMrVu3YuCgQVjh54fKlT8EIK5cuYJBf/yBWjVrYsH8+YiJicGChQvRr18/bN60Cerq6oJ1//LLL2jeTBicsbW1RXaWLVsGPV1d+d9KSkpfchgKxIiNR3D3ZSQGN6kCO1MDHLwZitFbj0MqlaKZh3OO7URJKXAyN0Lbym4w0dVGXHIKdly6j8HrDmNKh7rwqegCADDV08a6/q0U2p+49wxrT99EPXf7b7Vrn23oP//izr0HGDqoP+xtbRB0+Aj+HvsfJBIJfJo2zrFdWloa+gwajPj4BPwzYgiMjYywZfsuDBgyHCuXLoSXp/CHg7WVJWZM+k9QpqenJ/j7YPBR3Ll7D21b+sDNxQXJKcnYtmsP+gwajKn/jUUrn+8fCBz292jcuXcfQ/8YADtbWwQdCsY/Y8ZnHp8mObZLS0tD34F/Zh6fYTA2NsKW7TsxcPAwrFy6CJUreWbbbonfSiQnJ2e7LDklGTo6Ovi9d09YWJRAeroYZ8+fx/TZ8/Dg0WNMHPtvgexzQRgyYTbuPAzDsD5dYG9tiQPHzuCvqQsgkUjRokGtHNs9f/UGgcfOoJSTPWpX8cSBE2dzfR+bkiUwa/QQQZmerk6B7ENhWrVgJk4HH0SnXr/DuZQ7blwOwZol85CclATf33rm2jZ4307Ex4nQvF0nWNs5Ik70Hvu3bcSYQb0wZtYilPPMOaha3OmaGKFmv1/x8uZ93NwTjJp9fynsTSoQQ8ZMwN37jzC0f2/Y21rjwJHj+HvCNEglUvg0rp9ju7S0NPQZ8jfiEhIxashAGBsZYsuufeg/4l/4L5gJr4oV5HVHTpiGMxcuoX/P31C2lBtu3r2HFes2IezJUyyZOTnb9SclJWPCrPkwNzVBRFR0ge/31xg6fw3uhL3AsF98YGdhhgPnr2Hkkv9BIpWgRY2cb5Ks3n8cpoZ6+L11I1iXMMbb6Fis3HsM7cfMw+ZJQ+BsbSGob2NugpmDugjK9LS1vsk+/ag4/fDHwqAW/RROXbqB89fvYM4/g+BTtzoAoGqFMnj9LgqzV29Gs9rVoKKS/WzcymVL4fxWPwDAnUfhOQa10tLSceDEefjUrY6h3TvKyyuWcUWdLn8g8MS5YhHUev0sHOeDA9GqWz80bvcrAMC1vCcS40Q4uHUdajdvAx09/Rzbdxo4AvqGRoIy90pV8V+fzji0db0gqHVi/07cvRqCv2Yvg2OpD8GdclWqF/BefZ0zd8Jw4cFTzOjZCs0zR2ZVcbXDmxgR5u8+gaaVSkNFOfvzp2ml0mhaSXiXunY5ZzQb74cdZ28Iglr//doMysqyoMu0rcGFHtQ6c+YMQkJCMGP6dDTLDCJV8fLC6zdvMG/+fDRp0gQqKirZtt29ezdCQ0Oxft06VKgg+wLr5eWFDh07Yv6CBdi4YYO87rz582Fra4s5c+bIR31YWVmhe48e2LNnDzp27ChYd0kLC5QvXz5f++BeujSMjIzyrviNnXn4HCGhrzCtUz00qyALYHk5WeJNbALmH7qIxuUdczyHmpR3QpPywr6jVik7tJi9BTsvP5AHtdRVVVDetoRC+8WHL0NTTTXPEWHfy+lz53Hh4mXMnDwBzZvIRh5VqVwJr9++xbzFS9G0UYMcz6td+wIRGhaO/61aAY/ysmunSiVPtO/SHfMXL8OmNf6C+poaGqhQrmx2q5Lr2bUL/hryh6CsVvVq6Ni1F/xWr/nuQa0z587jwsVLmDFlIpo3kQX4qlSuhDdv32L+oiVo2qhhzsdn737Z8Vm9EhXKy0a6elXyRIdfu2He4qXYtHa1Qpvbd+9i87YdmD55Av4aNUZhuYO9PaZOEI4Gr1WjGmJi3mN/YBDG/P2XQuC5MJy6eA3nr97C7H+Hwqe+bGRWVY+yeB0RiTkr/4dmdavneNwql3fHuZ0BAIA7D0PzDGppaKijQjEafZ0fL56E4XjQPvzSewBad+4KACjjUQnxIhF2bghAo1a+0NPPeTRMnyF/w8DIWFDmUaUa/uzii90b1/7QQa3oZy8x3Ej2maRjYvRDBLVOX7iIC5evYdZ/o9G8kSyAVcXTA6/fvsPcZSvRtEGdnPuhwEN4HP4UG/wWwqNs5nemih5o1+N3zFu2Cpv9FwMAbt65h6OnzmLkH7+je2fZTIBqXp5QUVHBwhUBOH/5KqpnM1p2vt8q6Ovpona1qlixbuO32P0vcvr6PZy//Qiz/vgNPtVlNxCqlnHBm6j3mLtpP5pVq5jj5/zSv3rDxEB4w6VqGRc0GjwF64NOYVI/4WhJDXU1VHCx/yb7QVQcMadWAXj8+DH69u2LqlWrokKFCmjSpAn8/WVfrLt27YrffxcOBb19+zbc3Nxw8eLFHNc5atQotGjRAqdOnUKLFi1Qrlw5+Pr64saNG9nW37BhA+rVq4dKlSph4MCBiImJkS9LSkrCpEmT0KRJE1SoUAH169fH+PHjER8fL69Tv359vHr1Chs3boSbmxvc3Nywa9cu+fJdu3ahZcuWKFeuHGrVqoX58+dDLBbLl8fFxWHs2LGoVasWypUrhzp16mDYsGGfdRy/paMXLkNbSxNNagmnPfk2roOI6Pe49TA0x7bKOXwAfUpJWQnKykrQ09EWlOtqa0FZWQnqamqfv+GF4OaFM5BKpajWUDgKp1ojH6SnpuLu1ZBc238a0AIATS1tWNja431UhKD8xL7tcClTQRDQKoqO3XwEbQ11NK4onD7Zulp5RIgScPvp689an5qKCvS0NBQCqVkBraLi+PHj0NbWRqNGwilPbVq3RmRkJG7fvp1rW3t7e3lACwBUVVXRwscHd+7cwbt37wAA7969w927d9GiRQvBNCYPDw/Y2dnh2PHjBbxXhePE3afQVldDo7KOgvJWlVwRGZeE2y8iP2t9airK0NNUh2oe58yL6DhcffoGjcs5Qlez8AMPAHD85Gloa2uhcQPhFJY2LXwQERmF23cVp3ZlOXbyFOztbOUBLSDzvGrWBLfv3sO7iM87jgBgYqzYZ6moqMC9tBvevovIpsW3dezEKWhra6NxA+FIiNYtM4/Pnbs5tj2eeXyyAlqA7Pj4NGuCO3fv4V2EcH/S09MxftI0dO7QDmVKf94UMSMjQygpK+f7M/JbO3b2ouxzvo4wpUDbJvURER2DWw8e59i2qOxDYbp07hSkUinqNmshKK/XrAXSUlNx41LOo9QBKAS0AEBLSxvW9g6IinxXoNtK396x0+egraWFxvWEszfaNm+CiKho3Lr3IMe2R0+fg4OtjTygBQCqqipo0aQBbt9/gHeRUQCA67dlfVmtalUE7etU9wYAHDl5RmHdV2/exvZ9QZj4z/Aid90evXIb2poaaFK1gqC8TZ0qiHgfh1uhz3Js+2lACwDMjQxgYWyAN9GxBb2pRD+cotUbFFMDBgxAXFwcpk6dihUrVqB37945DuP/HJGRkZg4cSJ69+6NBQsWQF1dHb1790Z0tHCo7fHjx3HixAmMHz8eY8aMwaVLlzB58ochuykpKcjIyMCwYcPg7++PIUOG4PLlyxg0aJC8zpIlS2BmZoYmTZpg69at2Lp1K+rWrQsAWLNmDcaOHYuaNWvCz88Pffv2xfr167FgwQJ5++nTp+PkyZMYPnw4Vq9ejb///rtI3LnN8vjpSzjZWEL1k7tKrg628uVfS01VFZ19GmHP0TM4ev4KEhKT8OpdJMYvXAU9bW10aJZ3DoKi4PWzcOgaGMLA2ERQbuXglLn8yWevMzkxAS/CHsHS1kFeFhP5DtHv3sDS3gl71q3A311aYlDLOpg04DdcOHrw63aigIW+iYSjhQlUPwlCuVrK8hyEvo7Kcx0SiRTiDAkiYuOxNPAMnkXEoHuDKnm2K0yhYWFwcHBQyJnj4iIbGRQamnMwODQsDK6Z9bJrGxYWJq8HINu6ri4u8nofC1izBpUqV0ZVb29079EDJ0+ezHE72nfogIqenqhXvz7GjB2LN2/e5Fj3Wwp99x4O5oaK55CF7Idg2LuY7JoJyM+huEQsP3oVz6JF6Foz9xFre68+hFQKtPVy+/KNL2CPw8LhaG+vcF65OjvJl+ckNOwJXJ0Vp2pmlYWFC9u+ePUKNRo2hUe12mjWtgMWLVuBlJTUPLdRLBbj2o2bcHZ0yLNuQQsND4ejvV02x0e2j6G5Hp9wuLpkc3xcso6PsP/2WxWA5JRkDOrfL8/tkkqlEIvFiIuLw6Hgo9gbGIRuXX4pMjm1Hj99ASdba8XPeUc72fInLwrsvV68fgfvtj1QrnFHNOk6CAsCNiElNe/zqih78SQc+oZGMDI2FZTbObrIl3+uxIQEPHn0EDb2jnlXpiIlNPwpHO1toar6yfXk5ChfnmPbJ0/h6qTYd8rbPpG1Tc+8Of7pTd+svx+FCfurlNRUjJ8+F107+sLdTfE7Q2ELffEWjpbmCn2Qm60lAODxi88bff/iXTReR71XmHooWxaFan3HoPxvf6Hp0KlYuDUIKWlpX77xRMVc0fgmUozFxMTgxYsX+Pfff1G/vuyuqre3d4GsOzY2FgsWLEC1arK7jl5eXqhTpw7WrVuH4cOHy+tJpVIsX75cHkR69uwZVq9eDYlEAmVlZRgbG2PixIny+mKxGNbW1vj111/x5MkTODg4wN3dHerq6jA1NYWHh4e8bkJCAhYtWoQ+ffrI37NGjRpQUVHBrFmz0Lt3bxgZGeH27dto0aIF2rZtK2/rk0NC58IQG58AGwtzhXIDPZ3M5fEKy77E6N9/g56OFoZk5vAAgJLmJlgz41/YWSp+KBVFifFx2U4v1NDUgqqqGhLjRJ+9zi3L5iE1JRlNP8rHFRstG1ERcuwgjEzN0Kn/MGjp6OLcoX1YP38qMsTpqNlUMT9QYRAlJsPKxFCh3EBHlr8gNjHvIPbAZdtw/r7sC5qupgZm92qN2mVzzqNUFMTGxsLa2lqh3MBANgVFJMr5XIiNjYW+geJUlU/bimJjBeUf0zcwQGzmckCW5L2dry+8vb1hamaGt2/eYPOWLRgydCj+Gz8evr6+8rrWNjb4848/UKpUKahraODOnTtYu3YtLly4gM2bNqFECcVpet+SKCkF1saK15W+liYAIDYp7x/Ef647hPOPZQF4XQ01zOxcH7VKZZ9LDAAyJBLsv/YYDmaG8LArOv2PSBQHaytLhXIDA/3M5bmcVyIRDPQV72jr6+tnLo+Tl1WsUB5NGzaAg70tUlJTcfZ8CNb8byOu3byFgOWLc73Lv8w/AM9fvMTC2TPyvV8FRSQSwcoy5+MTm+fxUTzPDPQV2z54+Ahr1m/A4nmzoa2lhffvY3PdroB1/8PCpcsByHLT9enZHX8OKDpJiWPj4mFTUvG6NtTTlS8vCJ5lS6NZ3RpwsLVCSmoazly6joCte3HtzgOsnTOhyI0eya/4OBF0s/ns19TSgqqaGuK/4LN/9cJZSE1Jhm+X3PNxUdETK4qDtWVJhfKs/jc2Lk5h2cdt9bPpp7PaijL7aSd7WcD5+u27gve6duuOoF6Wxf5rkSGRYFDv3HO7FpbYhCRYmyuOWDTInMEhSkjM97rEGRkY578F2poa6Na8tmBZRTcHNPX2gIOlOVLT0nHm5gMEBB7HtYfhWDN2YLHtg7435tT6sTCo9ZWMjIxgZWWFefPmQSQSoVq1arCwKJgfD3p6evKAFiD70u7t7a0wBdHLy0swKsrZ2Rnp6emIjo6GmZlsJMmePXuwdu1aPHv2DElJSfK6T58+hYNDzneir1+/jqSkJDRt2lQw3dDb2xspKSl4/PgxqlSpAnd3d+zevRtmZmaoVasWXF2LXq6J3PJDF1TyaL8te7BmZxAGdWmHymXdkJCUjI37gtH73xlYNXUU3J3tC+R9CkpGhljwt7Ky7O6SEnI+Hp97rPb9zx+XTgajU/9hgqcfSjM/TMRpaRg0cQ5MzGXXTemKXpg+pDeCNq8tMkEtIPf9zs8hGd2xEeKTUxEpSsCBS3cxMmAvpnRrIc/RVVTl+v+dx45/Vtsc6n68DjMzM+GTXitWRKNGjfBb165YuGgRWrVqJR810rKFcApNFS8veFWujG7du2Pt2rX4559/ct32b+LLDyUA4O+W1ZGQkobI+CQEXX+Mf7Ycx6T2deQ5uj51/tFLRMQlYlgzxadNFrpvdF59vGzwAOHoo9o1qsPKsiTmLFyCE6fOoEG97B+KsnPPPvivWYfuXX5B/To5Jxf/lvK7jzlUyLOtWCzG+MlT0bRRQ9Solr8bca1b+MC7ihdEcXG4dPkq1v5vIxISEjB65Ih8tf8uvsPn/JBewnxJdap6wsrCDLNXrMfx85fRsGYRvN4+keNn/1d+zn1sS4Afzhw9hF6D//rhn374o8r1fMjtYsujbdbJVMvbC7bWlpi/fBVMjI1QtpQbbt29j4UrA6Ciogylj6bX3773ABu274LfnOm5PhWxsH3Nd6YsUqkU41ZuxbUHT7BgaA+UNBFOkR/SUZgepHZFd1iZGWP2xn04fvUOGnrlL+co0Y+EodyvpKSkhFWrVsHR0RGTJk1CnTp14Ovri8uXL3/1uo2NFaP9JiYmiIwU5gzR/+SurFrmsN3UzKHwR44cwT///IPy5ctjwYIF2LZtG5YuXSqok5P3798DANq2bYsyZcrIX1lPPcuayjNu3Di0atUKa9asQcuWLVG3bl1s2rTpc3f5mzHU00VsXIJCuShedtfE4KOno32psOevsPh/O/HHb+0w8Ne2qFLeHfW9K8Fv0kjo6Wpjpv+GvFfyHUW/e4M/WtUVvB7fvg4dPX0kxCvekU1NSYZYnA7tXJLEfypwUwAOblmHVt36oW7LdoJlOpkJZ0vY2MoDWoDsmnKvVBXvoyIQF/v+C/euYBnoaEGUzWisrDKDfDxxxs7cGGXtSqJeeRfM6dMGVd3sMW1rsHxEX1FkaGgoGCmVJWskTXYjQj5uK8pHWwNDQ1l5NnXjRKJsR3B9TE1NDU2aNEFsbCyeP3+ea91y5crBzs4Ot3LJBfatGGhrQpTNaKy4ZNlTPg208v6SbmdqgDLWZqhb2g6zfm2IKk6WmLHvfI7n0J4rD6GqoowWFYvWNA0DA/1sR2Nl3ZXP9bwyMBCMxsoSF5fVVnF0wMeynhx4M4e8VLv3H8CkGbPRvm1rjBg8KNs635qBgcFXHZ9s28YJ227YvBWvXr1G/769EBcfj7j4eCQmyj4P09LSEBcfj4yMDME6TE1NUMa9NKp7V8XQPwdi0O99sXnbDtx/+PDLdrSAGerrQZTN53xsvKzMQO/rP+dz0rKhbCTFzfuPvtl7FJSIt6/RuWF1wevezWvQ0zfIdjRWSnIyxOnp0NXLvS/+2PZ1/tj5vwD80nsAmrXtmHcDKnIMDfSzHY0lyhzxmFtfa2igrzDKKru2ampq8JszDSVLmKPfsFGo3qwtho2bhL5df4G+nh5KmH6YCjtu+lw0rF0TZUq5Ii4+AXHxCUjLnG6XkJiExI9u2BcWQ11txMYrjsYSJcq2zeCTnLvZkUqlGO+/FYFnr2Jq/86oXzl/OWdb1JQl1L+ZS94uoh8ZR2oVAEdHRyxatAjp6em4fv065s2bh/79++P06dNQV1dHenq6oH5uUys+9nGy9ywfj77Kr0OHDqF06dKYNGmSvOzSpUv5apv1g3LJkiXZjkDLmpqkp6eHMWPGYMyYMXj48CHWr1+PiRMnwsXFBV5ehf/EG1d7Gxw4dQHijAzBXPdHmTk2XOwVp1h9rgfhzyGVSlHWVZg7Qk1VFaUcbHH5ds5JNQuDgbEpRi1YJSgrYWULS/s7uHL6GEQx0YK8Wq+eynIbWdrlL8dM4KYAHNgYAJ8uvdCsk+JQcbOSllDX0My+sVT2I125gO6sfy0XSzMcvHIf4gyJICfS49eyALOzpWlOTXNU1q4kzt0Lx/uEJJjoF81Hwbs4O+PgoUMQi8WCvDmPM3NpOWeT2yiLs7OzvN7HPm3r7OQkL69Vq5ZCXSenvJ/YJ806X/Ix5F4qlRbK0HwXC2McuhmmeA69lQVunUoo3sTIS1lrc5x/9BLvE5Nhoif8shyTkIzTD5+jTik7GOsWrcd8uzg74WDwEcXzKjNXlItTzvl3XJwd8TibPGuPMsucc2n7seweyrB7/wFMmDoDrXyaYfyokQU2sudzuTjldHzy3kcXZyc8DlU8PlllWW1Dw8IRn5CAFr6KAYclfiuxxG8ltm1Yh1JuOY+6LltGNsr02bMXKO1W+DnbXB1sceDEWYXP+cdPZD/yXBxsvvk2KCkV/XvFRiZmmOG3VlBmaWMHWwcnnDsejPcxUYK8Ws+fyPpsG4f8XVvb1/lj21p/dOzRF76/cdphceXi6ICgoycgFmcI8mo9yszL5+xon0tbe3m9jz3OzJHl8lFbW2srbFyxCO8ioyCKi4eNVUkkJCRixsJlqOTx4YEXoU+eIvTJUxw+cVphvc06dYObsyN2rl3xubtZoFxsSiLownXF3xrP32Quz30mT1ZAa/epy5jctxNa1qz82dtQVL43E31vRf/TtxhRU1NDlSpV0K9fPyQkJCAiIgIWFhZ48uSJ/EcXAJw7dy5f64uPj8eFCxcEf4eEhAieJpYfKSkp8tFbWfbv35/t9n86csvT0xNaWlp4+/YtypUrp/AyMlJ8apSbmxtGjx4NAAgP//zEot9Cw+qVkZScguCzwmDe3mOnYW5ihPJuX5/byDwz59LNB8If8mlp6bgX9hQWpp//o/VbUlVTg51LKcFLU1sbFbxrQklJCSHHhMnaQ44ehJqGBspUynuqStDmtTiwMQDNOndHi197ZVtHRUUV5b1r4u2LZ4h+9yF5t1Qqxd2rF2FW0gq6BoZftY8FpX4FVySlpuHoDeGIhH0X78DcQBfl7BXz3+RGKpXiauhz6GlpyPNyFUX169dHUlISjh47Jijfv38/zMzMUK5cuRxaAg3q18eTJ08Eo6LEYjEOHDiAcuXKwdxcluOuRIkSKFu2LA4cOCAYGXLr1i08ffoUDRo0yHUb09PTcfjwYRgZGcHGJvcfrbdu3cLz589RPpft/lbqudsjKS0dx+4Kv+jvv/4IZvraKGfzeTcrpFIprj55Az1NdRhoKwaHA68/hjhDgjaVCz/Y8KkGdWsjKSkZR0+cFJTvPXAQ5mamKFcm5ym5DerUwZOnz3Dro5FWYrEYBw4eRvmy7jDP46bPvgOyfq18WeHd7z2BsoBWi6aNMXHMqEILaAFA/bp1ZNfd8ZOC8n2BQbLjU7ZMrm2zOz6BBw+jXNky8uPTu0dXrPZbKnjNnCq78dWhXVus9lsKW5vcb/ZcvnIVAPKs9700qFkFSckpOHJa+ITePcEnYW5ijPKlvt2Ixb3BJwEAFUoXrVGR2VFTU4OTm7vgpaWtA68ataGkpIRThw8I6p88FAh1DQ14VKmWwxo/2LF+Nbat9Ue7rr3QoXvfb7UL9B00qF0DScnJOHJK+ATCfQePwNzUBOXdS+XQEmhQuyaePHuBW3fvy8vE4gwEBh9DefdSMDdVvBFYwswUrk4O0NLUxJrN26GlpQnfFs3kywMWzVF4tW4mezLzoukTMXHUcIV1fm8NvcohKSUVRy7dEpTvPXMZ5kb6KO9sl2NbqVSK//y3Yfepy/ivd3u0rft5DxLae1o2Q6hCEUtzUpRlSKTF9kWKOFLrKz148AAzZ85E8+bNYWNjg4SEBKxYsQJWVlawtbVFkyZNsGPHDkyePBkNGzbEtWvXcOTIkXyt29DQEGPGjMHgwYOhp6cHf39/AED37t0/axurV6+OSZMmYcmSJfD09MTp06cFwbIsjo6OCAkJwblz56Cvrw9ra2sYGRlh8ODBmD17Nt6+fYuqVatCWVkZL168wLFjx7B48WJoaWmhc+fOaNSoEVxcXKCiooI9e/ZATU0NlSt//l2Gb6G2lweqVyyLSUvWICEpGXaWJXDg5AWcuXILs0YOhErmyIkx81di79EzOBwwD1YlPvw4OnzmIgDgxVvZ49DvPH4CbU3ZD8kmtWT5MyqVcUM5V0cs3bgTKampqFy2FOKTkrFx32G8fBuJmSMHfM9d/mKWdo6o3rgFAjcGQFlZGXaupXH/2iWcPbQPLbv2FSSRP7BpDYI2r8WQaQvgWq4iAODors3Yv2EV3CtVRVmvagh/cEewfsdSH35MturaF3evhGDx+BHw+bUXtLR1cO7wfrx6Eoo+oyahqKhVxgnVStljypbDSEhJha2ZEQ5euYdz98IxvXtLqGSO/PlvQxD2XbyNAxP6w9JENspxsN8OuFmbw826BAx1tBAhSsC+kNu48vgF/u3UWDBq53W0CHeeyQJ8L6JiAQDB12Qj/KxMDFDGTjFp67dUs2ZNeHt7Y+rUqUhMSICNrS0OHTyIc+fOYdrUqVDJvBP534QJ2L9/PwL374dlZoLrNm3aYMvWrRg5ciSGDB4MY2NjbN22Dc+ePcMKPz/B+wwdMgT9BwzAXyNHolPHjoiJicHCRYvg7OyMNq1by+vNnjMHYrEYHh4eMDUxwdt377B582Y8fPgQkyZOlG8PAHTo2BE+zZvDwdERGurqskTx69bBxMQEPXr0+PYH7xM13Wzg7WyFaXvPITE1HTbG+jh0KwznH73E1I715OfQhJ2nEHj9MfaN6ARLI9kUjaH/C4arhTHcSprAQFsTkfGJ2H/tEa4+eYPRrWooPFERkE09tDDQQXWXohFw+Fit6tVQraoXJs+cg4TEJNhaWyEo+CjOXQjB9Enj5f+P4ydPx76ggwjatQ2WJWV3uNu28sGWHTsxYvQ4DB3UH8bGRti6YxeePnuOlUsXyt/j6vUb8F+zHvXr1oa1lSXS0tJw9nwIduzZh6qVK6FurRryuoePHsd/U2bAzdUFHXzb4Pbde4LtLe3m+l2f5lurRjVUq1oFU2bOQkJiImxtrHHw8JHM4zPhw3U3eSr2HTiIA7u3w7KkrG9o26oFtmzfib9GjcGQPwbAxEh2fJ49e4aVSxfJ38PB3h4O9vaC9331Wtb32FhZwauSp7x86Qp/xMTEwLOiB0qYmSE+IQFnL4Rg1559aNywPtxL5/zj9nuqXcUT1SuVx8RF/khISoKtVUkEHT+Ls5dvYObowfLjNnbOMuwNPolD/1sq/Jw/Lfte9PLNOwDA3Udh0M58kEOT2rKAzpXb97By4y40qFkFNiVLyJI0X7qO7QeOoGrFsqhXrWh85/kSNg5OqN+8Fbat8Yeysgqc3Nxx80oIjgbuQede/aGn/2H64fZ1q7Bj/WqMn7sUZTxk58r+bRuxdc0KeFSpBk/vGnh0TzjN29X9+99M+J7KNK0LDR0taGROcy3p7gzPdrKgzO2gE0jPnGpeXNSqVgXVvDwxec4iJCYmwdbaEkFHTuDsxcuYMX6U/HoaN30u9h0KxsGt62FpIXtQg69PE2zZtQ/Dx03GsP59YGxkiC279+Hp8xfwXzBT8D4BG7fCxNgYJUuYI/r9exw+fgrHz5zH9LH/oITZh+BXFU/FG/qXr98EAFQsVwZGhvmfHvut1PIojerlXDEpYAcSklNgW8IUQeev4+zNB5g5sIv8c37cyi3Ye/oKDs3/F5Zmshve09btxs6TF+FbtwpcbUri5uOn8vWqq6midOaMkqsPwrFizxE09CoHa3MTpKaJcebmfew4HoKqZVxQ17No52kl+lYY1PpKZmZmMDU1xYoVK/Du3Tvo6emhcuXKmD17NlRUVFC7dm2MHDkSGzZswO7du1GnTh1MmDABvXv3zte6//rrL8yaNQvPnz+Hi4sLVq9eDdNs7nDkpnPnznj58iU2btyIgIAA1KxZE3PnzkXHjsJpB8OHD8eECRPw559/IjExEdOnT4evry969eqFEiVKYM2aNdiwYQNUVVVha2uLunXrykeAeXp6Ys+ePXj58iWUlZXh6uoKPz+/fE0d+l4WjRuGheu2YfH/dkIUnwBHG0vM+ecP+NT9cPdRIpEgQyJRaDt02iLB35v2H8Gm/bLg5P2DGwHIpj6tnjYaq3cE4vCZi1izMwjaWhpwsrXCikkjUdvL49vtXAH7ZeAIGJqY4uT+nYh7HwPjEhbo0G8I6rVqL6gnlUogkWTIpwsCwK1LspGI965exL2rFxXWvfzAWfm/zUpaYcSsZdiz1g+bFs9CRoYY1o4uGDB+BspVqaHQtjDN7+uLRftPYVngGYiSUuBQwhgze7ZCs48SvWdIJMiQSCHFh+Ph4WSNo9cfYvOpa0hMSYWelibcbS2wZEB7hacfXn70DOM2BAnK/lq9BwDQqmpZTOkmTH7+PcyfNw+LFy/GsuXLIRKJ4ODggBkzZqBZ06byOpKMDGRkZAhGpKqrq8N/5UrMnz8fM2bOREpKCtzc3LB0yRKFYLeXlxeWZL7H4CFDoKmpidq1amHY8OEKD8HYsWMHDh48iMTERGhra6Ns2bJYvmwZqlevLlino6Mjdu7cicioKKSnp8PczAxNmzbF7/36ffYU7oIyt0sjLAm+jOVHr0CUlAp7M0NM71QfTSt86CclUsW7cB52JXD0zhNsDbmHxNQ06Gmqw93KDIu6Ncn26Yc3nr3Dk8hY9Kvvme00u6JgwcxpWLR8JZauWAVRXBwc7Owwa8pENGvcUF4nQ5LDebV0EeYvXorpc+YjJTUFbi4uWLZwLrw8K8rrmZmaQllFGSsC1iI2VgQlJcDWxgaD+vVG9y6/CKagnj53HhKJBPcfPETXPv0VtvXQnh2wyuYpYN/S/FnTsWjZCixb4S87PvZ2mDl1Epo1biSvk5EhyTw+H9qpq6tj1bLFmLd4CWbMmSe77lxdsWzhPFT+KFD1OcqULoVNW7fj+MnTEIlEUNfQgKODPUYOG4KO7drmvYLvaOGEkVgYsBmL123N/Jy3wpwxQ9G8Xk15HfnnvFR4nQ2bNFfw96a9h7Bp7yEAwL2jOwAAZsZGUFZWht+GHXgvioeSkhLsrCzwR49O6Nm+VbF/6lifof/A2NQMB3dvQ2xMNMwsSqLnH8PRzLeToJ78s/+jz7or52Ujem5cuoAblxRvnG4/kb+0F8XVr8unwOSjVBaVOrZApY6yz+wx9jUR/exlYW3aF1s4dQIWrgzAktXrIIqLh4OtDWZN+BfNG9aT15FIMpCRIVHop1ctnIV5y/wxbcESpKSkopSLE5bPmQavisLgVGpaGvzWbsC7yEhoqmugfJnSWLN4DipVKJ5B0AXDemLR1iAs2XEIooQkOFiaY/YfXdG8+ofPJ9loGwk+7oFOXpONrt118hJ2nRReK5amRjiyaBwAwNRQDyrKyvDbfQTv4xOhBMDOwgx/tG+KHj51i30fRPSllKRSKcewFUGjRo3CnTt3EBgYWNibUmgk4VcKexOKtJOSnIcxk0yNpz/v9ZMf0hqdC3sTijRJ0NLC3oQiT7Vhj8LehCJNWgxyLBUmVdGrwt6EIu+uimLgmj5YZvV5KTl+NosjFHNQkZDS8+//8JjiRLWST2FvwjfRcMnZvCsVUUf/qJl3pZ8Mv20REREREREREVGxw6AWEREREREREREVO8ypVUTNmDGjsDeBiIiIiIiIiKjIYlCLiIiIiIiIiH4KUgnTiv9IOP2QiIiIiIiIiIiKHQa1iIiIiIiIiIio2OH0QyIiIiIiIiL6KUg4/fCHwpFaRERERERERERU7DCoRURERERERERExQ6DWkREREREREREVOwwpxYRERERERER/RSkUubU+pFwpBYRERERERERERU7DGoREREREREREVGxw6AWEREREREREREVO8ypRUREREREREQ/BamEObV+JBypRURERERERERExQ6DWkREREREREREVOxw+iERERERERER/RQknH74Q+FILSIiIiIiIiIiKnYY1CIiIiIiIiIiomKHQS0iIiIiIiIiIip2mFOLiIiIiIiIiH4KUklhbwEVJI7UIiIiIiIiIiKiYodBLSIiIiIiIiIiKnYY1CIiIiIiIiIiomKHObWIiIiIiIiI6KcglUoLexOoAHGkFhERERERERERFTsMahERERERERERUbHD6YdERERERERE9FOQSDj98EfCkVpERERERERERFTsMKhFRERERERERETFDoNaRERERERERERU7DCnFhERERERERH9FKTMqfVDYVCLiqz3Zu6FvQlFmml8emFvQpGnXLZ2YW9CkSZJTy7sTSjS7nr1LuxNKPLslTQKexOKtFfxaYW9CUXaqkv8UZGXReXuFPYmFGmLI04X9iYUaX+a83tQXibNbl3Ym1CkmVfyKexNIMoTpx8SEREREREREVGxw5FaRERERERERPRT4PTDHwtHahERERERERERUbHDoBYRERERERERERU7DGoREREREREREVGxw5xaRERERERERPRTkEiZU+tHwpFaRERERERERERU7DCoRURERERERERExQ6DWkREREREREREVOwwpxYRERERERER/RSkEubU+pFwpBYRERERERERERU7DGoREREREREREVGxw+mHRERERERERPRT4PTDHwtHahERERERERERUbHDoBYRERERERERERU7DGoREREREREREVGxw5xaRERERERERPRTkDCn1g+FI7WIiIiIiIiIiKjYYVCLiIiIiIiIiIiKHU4/JCIiIiIiIqKfglTK6Yc/Eo7UIiIiIiIiIiKiYodBLSIiIiIiIiIiKnYY1CIiIiIiIiIiomKHObWIiIiIiIiI6KcglRT2FlBB4kgtIiIiIiIiIiIqdhjUIiIiIiIiIiKiYodBLSIiIiIiIiIiKnaYU4uIiIiIiIiIfgoSibSwN4EKEEdqERERERERERFRscOgFhERERERERERFTucflgMvXz5Eg0aNMDChQvRtGnTAl23m5sb/v77b/Tu3fur11W/fn3UrVsX48ePL4At+zJicTrWBQTgwP69iI6KQklLK7Tr0BEdOv+Sr/ZJSUlYuXwpjh8JRlxcHOzs7fFb955o1ETxuIvF6di+ZQsO7N+Hly9fQF1NDfaOjvhzyDCUq+ABAHj+7Bn27t6Ja1eu4NXLF1BSVoa9vQM6/doF9Rs2KshdL3BisRi7N67BiYOBeB8TBXMLSzRt0x7NfDvl2fb2tcs4c+QQHt69hejId9DW1YOTa2m079YbTm6lv8PWf72kpGQsWr0eh0+cgSg+Hg62Nuj9awc0b1An13ZvI6KwdutOPHgchodhTxCfkIgpo4ahTTPF/++T5y/i8IkzePA4DE+ev4Q4IwN3TgV9q136YklJSVi8fAWCjx6HKC4ODnZ26NWjK5o1zvscjo6JwfxFS3H67DmkpKTA1dUFf/TvB+8qXjm2SUlJQYcu3fDs+QsMH/wHenTtIl927/4D7N63H1ev38DrN2+hqakBFycn9OnZHVW9KhfI/n4LYrEY+zavxenDgYiNiYaZhSUatWqHxm065tn27vUrOHfsEB7fu42YyHfQ1tGDg2sptP2tNxxcS8nrSTIycGj3Vty+egkvn4YhMT4OpuYW8KxeGy07d4OOrt633MV8E4vTsX5NAII+6qd9O3RE+07576f9ly/F8aPBiI+Lg62dPX7r0RMNG2ffT+/YugVBH/fTDo4Y9FE/DQBRUZFYsWQxLpw/i6TERNjY2qFD51/QonXbgtrtryLrj9fi1KEP/XHj1u3RzDfv8+fOtSs4c/QgHt29LeuPdfTg5FYK7br1hqOrsD9+cPsGTh4+gKePH+LF03CI09OxeNNumFtYfqtd+6aUlYAmpczhbWcMfU1VRCel4UxYNE6FRefZ1sVUB0PqOGW7bM6JUDyNSSrozS1wickpWLhhFw6dvQxRfCIcrUuiT/vm8KldNdd2weev4vC5y7jz+CneRb+HiaE+PEu7YNCvrWFvWUJQ98SlGzh09jLuhz/Hk5dvIc7IwP39Ad9yt75IUlIyFvmvweHjpz58pv/WGc0b1suzbfT795i3zB+nzl9ESkoq3Jwd8WffHvCu7Cmol56ejhXrNmL/4WN4FxkFMxNjNG9UHwN6/gZNDY0c13/h8jX0HfYPAOBM4A4YGRp83c4WMg1dHfiM+xPWHu6wqVgGemYmCJywAIETFxT2phU4JTV16NT0gYZbRShrakMc8w5JF48i9eH1z1qPTo3m0KnWBOKoN4hZO0O4UEUF2p51oFmmClQMjCFNS0N6xAskXjgM8eunBbczPzgppx/+UBjUoh/a7BnTcTjoAPr2H4jS7mVwMeQ8FsydjaSkJHTvlXfgbvTIEXhw7y4G/DEYNnZ2CD50EP+NGQ2pVIrGTZvJ62VkZGDUXyNw68Z1dOnWA+XKV0BySjIe3r+H5OQUeb1LIRdw/uxZNG3ug9LuZZCRIcaxI8EYO+pv9Pm9P3r1/f2bHIeCsGrBTJwOPohOvX6Hcyl33LgcgjVL5iE5KQm+v/XMtW3wvp2IjxOhebtOsLZzRJzoPfZv24gxg3phzKxFKOeZc0CjqBgybgruPniMob/3gL21FQ4cPYm/J82EVCKBT6OcvwQ/f/UaB46cgJuzI2pVrYygY6dyrHvszAXcuvcApVycoKauhnsPQ7/Frny1YX+Pxp179zH0jwGws7VF0KFg/DNmPCQSCXyaNsmxXVpaGvoO/BPx8Qn4Z8QwGBsbYcv2nRg4eBhWLl2EypU8s223xG8lkpOTs10WdDgYd+7eR9tWLeDq4oLk5GRs37UHfQf+iSkTxqGVT/MC2eeCtnbRLOVABh4AAKreSURBVJw7egjtevSDo1tp3L5yEf9bNh/JSUlo/WuPXNse278LCfEiNGnbEVa2DogXxSJoxyZMGNwbf09fiDIVZcG8tLRU7PrfKlSr1xj1mrWCroEBnj5+iL2b1uJ6yFlMXroG6hqa32Fvczd3xnQcPngAffoPRCn3Mrh04TwWZvbT3Xrm3U+P+XsE7t+7i/5/DIatrR2OHDqICWNGQyJR7Kf/HSnrp3/t1gNly1dASrKsn05J+dBPJyTEY2CfXhCnp2Pgn0NhYmqKo4cPYcaUSUhISEDnLl2/yXH4HKsXzMKZIwfRsWc/OJVyx83LIVi3dB5SkpPQtkuPXNsG79uJhDgRmvl2grW9A+Ji3yNw+yaMHdQb/85chLKeH4LBt69dwZ2rl2Hv7AotHR3cu3HtG+/Zt9WpohWq2Boh8N47PI9JQukSemhXwRIaqsoIfhiZr3Xsu/MGjyITBWWvRSk51C5aBk9bijuPn2B49/awtyqBwFMX8dfsFZBKpGhR1zvHdqt3BsHUyAC/d/SBdQlzvI2KwcrtgWg3dAK2zB4LFzsred2jIddw82E4SjvaQl1NFXdDn32PXftsQ8ZMwN37jzC0f2/Y21rjwJHj+HvCNEglUvg0rp9ju7S0NPQZ8jfiEhIxashAGBsZYsuufeg/4l/4L5gJr4oV5HVHTpiGMxcuoX/P31C2lBtu3r2HFes2IezJUyyZOTnb9SclJWPCrPkwNzVBRFTewdbiQNfECDX7/YqXN+/j5p5g1OybvxsWxZFB695QtbBFwun9yHgfAc3SlWDQsgdESspIfXA1X+tQNbOCtld9ZCTGZbtcr3FnaJaujKSLR5D2/DGUtbShXaUhjDoNxvvNCyB++7wgd4l+cqdOncL8+fMRFhYGCwsL9OjRA126dMm1za5duzB69Ohsl9WsWROrV68GAFy8eBHdunVTqNO8eXPMnz//s7aTQS36YYWHhSFw7x78PnAQunTrDgDwrFwZIpEIa1evQtt27aFvkPPdr/Nnz+DyxRBMmDJN/sOoUmUvvH3zBksWzkeDRo2hoqICANixdQtCzp+D3+o1KFuuvHwdNWrWEqyzYZMmaNexE5SUlORl1WrURGxsLDasW4vfuveEurp6gR2DgvLiSRiOB+3DL70HoHVn2Q+6Mh6VEC8SYeeGADRq5Qs9/ZyPZZ8hf8PAyFhQ5lGlGv7s4ovdG9cW+aDW6ZDLuHDlOmaN+xvNG9YFAFTxrIDX7yIw1y8ATevXlp8Ln6pcoSzO7NsCALjz4FGuQa2JIwdDWVk2K3zqgmVFMqh15tx5XLh4CTOmTETzJo0BAFUqV8Kbt28xf9ESNG3UMMdjsWvvfoSGheN/q1eiQvlyAACvSp7o8Gs3zFu8FJvWrlZoc/vuXWzetgPTJ0/AX6PGKCzv2e03/DV0sKCsVo3q6NS1B1asCiiSQa2XT8Nx6tB+dOjZHy06/gYAcK9QCQlxIuzdtAYNWrSFbi7XU/c//1K4nsp7eWNE9/bYt3mtPKilrq6B+f/bLbg23StUgqm5BRZN/heXzpxAzYbNUJjCw8IQuG8P+g0YhF+7ZvbTlWT99LrVq9DGN/d++sI5WT/935RpaNREti+elb3w9u0bLFsk7Kd3ZvbTy1YJ++nqn/TTu3dsx+tXL7Fq/UaUKu0OAKharTqio6OwesVy+LRqAz29whvl9uJJOE4c3IdOvfuj1Uf9cUKcCLs2BKBRy9zPn95DRmbbHw/+rR12b1orCGq169oLHbr3AQDs37qhWAe1LPQ0UM3eGIF33+LYI1kA63FUInQ0VNC0VAmcDY9BUnpGnuuJSEgrFqOyPnXqyi2cv3EXc/7qB586sgBW1fKl8ToiGrPXbEOzWlWgopJ9VpJl44bAxFBfUOZdvhQa9vkb6/YGY8rgDze2Jv/RQ/45NtlvQ5EMap2+cBEXLl/DrP9Go3kjWQCriqcHXr99h7nLVqJpgzo5f44FHsLj8KfY4LcQHmVl/UOVih5o1+N3zFu2Cpv9FwMAbt65h6OnzmLkH7+je+f2AIBqXp5QUVHBwhUBOH/5Kqp7VVJY/3y/VdDX00XtalWxYt3Gb7H73130s5cYbiTrc3VMjH7YoJa6gzvU7UtBFLgOqQ9kfWX6i1Co6BtDt04rpD68BkjzGB2kpAy9pr8i+eZ5qJpbQllLV7hcRQWapSsh9f5VJJ77MJI//dUTmA6YDM3SlZHAoBYVkOvXr2PgwIFo3bo1Ro0ahWvXrmHKlClQV1dHhw4dcmxXt25dbN26VVD29OlT/PPPP6hdu7ZC/enTp8PR0VH+t5GR0WdvK3NqFUHXr19H//79UbNmTXh4eKB169bYs2dPnu327NmDNm3aoFy5cqhatSr69u2LV69eyZc/evQIvXv3RsWKFeHp6YkBAwbg2TPFLxsSiQSLFi1C9erVUbVqVYwePRpJScIvcPldV2E6ffIEpFIpfFq2FpT7tGyF1NQUhFw4n2v7UydPQFtbW2FaoE/LVoiKjMS9O7flZdu2bIJHRU/BD6XsGBoaCQJaWdzLlEFKSgri4kR57VahuHTuFKRSKeo2ayEor9esBdJSU3Hj0oVc23/6AwoAtLS0YW3vgKjIdwW6rd/CsdPnoa2lhcZ1hT9+2zZrhIioaNy6/zDHtllf7vPjc+oWlmMnTkFbWxuNGwjvZLdu6YOIyCjcvnM3x7bHT56CvZ2tPKAFAKqqqvBp1gR37t7Du4gIQf309HSMnzQNnTu0Q5nS2U9TNTFWPLdUVFTgXsoNb99FZNOi8F3NvJ5qNxFeT7WbyK6nW1dCcm2f3fWkqaUNKzsHREd+2GdlFZVsg82OpWQ/xGIiC//4nDkl66ebf2E/ffrECWhpa6NeA2E/3Tybfnr71k2okI9++vbNmzA2NpEHtLJUr1kLycnJuHjhXH527Zu5nHn+1GvaUlBet2lLWX98+cvOH2s7B0RHCPvj4tAn5VcFSwMoKynhwtP3gvKQp++hrqoMd4uiMR33Wzl64Rq0tTTQpKbwJpJvwxqIiInFrUfhObb9NKAFAOYmRihhYoS3UTGC8uJwzhw7fU72mV5PmD6gbfMmss/0ew9ybHv09Dk42NrIA1oAoKqqghZNGuD2/Qd4FxkFALh+W/ZZWKtaFUH7OtVlAcUjJ88orPvqzdvYvi8IE/8ZXiyOIwlpuJSDJC0FqQ9vCMqT71yEip4hVEva5bkO7aoNoayljcSzgdlXkEoBqRSSNOHodUlaCqQSCaQZ6V+6+UQKli5dCnd3d0ybNg3e3t4YOHAg2rdvj4ULF0IikeTYztjYGB4eHoLXixcvoKKigubNFW82u7i4COra2eV9rXyKPWYR9Pr1a3h6emLq1KlYvnw5GjdujLFjx+Ya2Fq1ahX++ecflClTBkuWLMHUqVNhZ2eHmBjZl403b96gS5cuiI6OxowZMzBlyhQ8ffoUXbp0kdfJsnHjRjx79gwzZszAwIEDsX//fixbtky+/HPWVZjCw0JhaGQEE1NTQbmzi6t8eV7t7ewdoKoqHNCY1T4sLAwA8O7tW7x5/RqOzs7wW7oYPo0boFbVyujSsR2CAvfla1uvXbkCQyMjGGXzY6MoePEkHPqGRjAyFh5LO0cX+fLPlZiQgCePHsLG3jHvyoUs9MkzONrZQFVVeOfW1clBtjy8aAV0v6XQ8HA42tspXBeuzs6y5WE5nwuhYeFwdXFWKM8qCwt/Iij3WxWA5JRkDOrf77O2USwW49qNm3BydPisdt/Li6ey68nQ2ERQbuMgOw5fcj0lJSbg6eOHsLbLe5/vXb8CALDKR91vLad+2imzn32SVz8dHgr7bPppJ+esfl7YTzs5O2PF0sVo2aQB6nhXxm8d2+HgJ/20WJwONXU1hfdSU5ONog17/Pgz9rDgvXgSlu35Y+voLF/+uZISEvDk8UNYF4P++EuVNNBEfIoY8aliQfkrkezHYUn9/E3F7ehhiYVty2F2qzIYVNMBjibaBb6t38LjZ6/gZG0J1U9GILna22Quf/lZ63vxNgKvI6PhbGuVd+UiJjT8KRztbbP5THeUL8+x7ZOn8s/+bNs+kbVNF8vOM3U1YV+S9fejMOHnXUpqKsZPn4uuHX3h7uaS/52hIkPVtCQyot8BUuGPfXHka/ny3KiYlICOd2PEH9kOaXpa9pUkEiTfOAvNMlWg7lwOSuoaUNY3hn7jzpCmJiPlVu43mekDqURabF/fQ1paGkJCQuDj4yMob9myJSIjI3Hv3r3PWl9gYCC8vb1hZmZWkJspx+mHRdDHJ49UKoWXlxfevXuHLVu2oE2bNgr14+PjsWTJEnTq1AmTJk2Slzds2FD+77Vr1yI9PR0BAQEwzhzZUKFCBTRp0gQbN27En3/+Ka9ramqKuXPnAgBq166N27dv4/Dhw/jrr78+e12FSSQSQT+bUQpaWlpQU1ODKDb3UVFxIhEsrawVyvUN9DOXxwIAIjNHOxwMDIR5CXOM+HsUdHR1sW/3LkyZ8B/S08Vo3dY3x/fZt2cXrl29gqF/jcxxuHthi48TQVdP8U6tppYWVNXUEP8FI8xWL5yF1JRk+HbJPR9XURAbFwdrS8UvIwb6evLlPwuRSAQrS8Uk0QaZ10WsKOdzIVYkgoG+4nmUVfZx2wcPH2HN+g1YPG82tLW08P59bL63cbn/ajx/8RIL58zMd5vvKSFOBJ1crqeE+M+/ntYuno3UlGS0/jX36ykmKgJbVy+Dg2tpVPSu+dnvU9Di8uqnczmfANn5aGn5ef20mbk5ho0cBV1dXezbswtTJ8r66VaZ/bS9gyOuXLqIt2/fwMLiw3V/6+Z1+XsWpoRv0R8vkp0/vr/1KIAtLJp01FWQmC5WKE/LkCI9QwId9dw/f5PTM3DicSQeRyUiMVUMM10NNHA1w5DaTvA7/wT33yV8q00vELHxCbCxUPwxYaCnk7k8UWFZTsQZGRi7aC20NTXRvXXjAtvG7yVW9OWf6bGiOOjrK47qy2orEsnaOtnLRhpcv31X8F7Xbt0R1Muy2H8tMiQSDOqtmF+GigclTR1kiBTzoElTZLNdlDV1cmsN/Sa/IvXxLaQ9yT1YkHBiN6SpKTBo1QtKmSP6MuJiELttKTJio754+4k+9vz5c6SnpwumBQKAc+ZN7LCwMJQtWzZf67p9+zaePn2K33/PPnd0v379EBsbCzMzM/j4+GDIkCHQ1Py8nK8MahVBIpEIixcvxrFjx/Du3TtkZMhyPBgaGmZb//r160hOTkb79u1zXOeVK1fg7e0tD0IBgJWVFSpWrIgrV64I6taoUUPwt7OzMw4fPvxF6/pexGLhF9Ws4FB2U/2y5LIof3UyF0ozh1+mpaVizsLFKFlS9oO/SlVv9OraBWtWrcwxqHXh3FnMnTkD9Ro0RId8PunrW8vIEB5LZeWCOZYf2xLghzNHD6HX4L+KzdMPcz8VPvMAFHO5nwt5HIt8tBWLxRg/eSqaNmqIGtVyTl6cnZ179sE/YC26dfkF9eooztv/3nK8nnJpo5TrUkXb167A+WOH0W3QCMHTDz+VECfCnDHDIZVK8efYKd99ektR6qctMvtpr6re6N2tC9auWikParVq64s9O7dj0rgx+GvUGJiYmOBo8GEcPxIMAFBW/n7Xe07nT36uo/zaGuCHs0cPoeeffyk8/bC4+vS/SH5j+ytucL8UpeDlrTfyv8Oik3DztQj/NnRF67Ilcf9d4Y7gy4/c+538kUqlGLtoDa7efYSFowehpFnRHGGel1z7nTyORq7XWOayWt5esLW2xPzlq2BibISypdxw6+59LFwZABUVZSh9dJLevvcAG7bvgt+c6bk+FZGKgy/rZLQq14WKkRli9/jnWVfbuzG0veoh8fxBpL8Kh5K6JrQr1oJhh4GI3bEM4ohXea6DircGDRrkuvzYsWNf/R5ZN/D0P7kZnfX359zgCwwMhIaGBho3Ft4E0dPTQ58+feDl5QUNDQ2EhIQgICAA4eHhWLFixWdtL4NaRdCoUaNw/fp1DBo0CM7OztDV1cXmzZtx8ODBbOvHxsYCAMzNzXNcZ1xcHEpnk5PG1NQUT54Ih0B/evKqqakhLe3DMNjPWdf38Ob1a7RrJRwaucTPHwYGBnj8SDHXUXJyMtLT03NNPgwA+gYG2Y7misu8u5Y1ukDfwBAAYGdvLw9oAbIvPVWrVcP6NQGIiYkRBAEBIOTCeYz++y94VfXGhCnTikRgJOLtawz6pY2gbML85dDTN8DT0EcK9VOSkyFOT4euXv4fN719nT92/i8Av/QegGZt8378fFFgqK+P2Lh4hXJRZplBISaN/t4MDAyy/SDLuuuc3UisLIY5tY0Ttt2weStevXqNOdOnIC5edowTE2WjCNLS0hAXHw8dbW2FkY179gVi8vSZaN+2NUYMKfwRo5FvX2NYV2FA+985S6Grb4Dn4Yo/gLOup+xGceVk1/9WYe/GNejQsz8at8k5aWdifBxmjBqMmKhI/Dt7CcxLft8pQ29ev0aH1sJ+epGfP/Tz6qdzSXgOyM7HuGzOqU/7aYPMftrW3l4e0AIy+2nvavjf2gC8j4mBkbEx7B0cMXXWXMyePhXdMhM8m5ewwB9Dh2P+7JkwNcv5s7YgRbx9jT9/bSsoGz9vGXT1DfA0LOfzJ7tRXDnZvm4Vdm1Yg869B6Bp25zPn+LEWFsNk5oJv6MsPBWGxLQMWBtoKdRXV1GCmooyEtPyThL/qeR0Ce68jUctRxOoKSshvQg/It5QTzfb0ViizLKsEVu5kUqlGLt4DfafvIDpQ/uggXfFAt/O78HQQD/b0Vjyz/RsRmJ93PbTUVbZtVVTU4PfnGkYPXkm+g0bBQDQ0tLEkH69sGLdRpT4aMr1uOlz0bB2TZQp5Yq4eNmIv6zv3QmJSVBXV4OOdvGY5vozk6YkZjsaS0lT9n8nScl+NKSynhF0azRHwun9QEYGlDQy+yklFUBJCUoaWpBmiAFxOlSMS0CnRjMknNqH5Csn5OtIe3IPxj3/hW7dtojdtqTgd+4HJMkraf8PKD4+HhEReedTtbGxkf87p9+n+f3dKpFIEBQUhLp160JXV/jgA3d3d7i7f8hPWK1aNZibm2PSpEm4desWypfPPQfqxxjUKmJSU1Nx6tQp/PPPP+ja9cNjwzdt2pRjm6wRXBEREbCwsMi2joGBAaKiFIekRkVFwSCP4M63XFdBMDUzw+r1GwRltnb2cHJ2wdHgw4iOihLkawkLlf0YcHRSzO3zMSdnFxw9fAhisViQryWrvZOTEwDAyto6xyGS0swO89M7+yEXzmPUX8NR0bMSps2aAzU1xfwthcHIxAwz/NYKyixt7GDr4IRzx4PxPiZKkFfr+RNZvhsbh/zlYdm+zh/b1vqjY4++8P2t6E87zOLiaI+gY6cgFmcIcnA8ysy74ez4+QkNiysXJyccDD6icF08zsxd5OyU87ng4uyEx6GK+X6yyrLahoaFIz4hAS18FYOeS/xWYonfSmzbsA6l3Fzl5Xv2BWLC1Olo5dMM40b/UySCxEYmZpi0ZI2grKSNLWwcnBBy8ghiY6IFeZFeZuZCyu/1tOt/q7Br/Sr4duuD1r/2yLFeYnwcpv/zJyLfvsHoWYth6/j987WYmplh1TrFfvqOswuO5dJPO+TRTzs6ueBosGI/HR6W1c/L+mnLfPTTH4+cqFajJnbuD8LLF8+RkZEBG1s7HD8qG6nlUdEzX/v8tYxNzDBt+VpBmaWNLWwdnXH+hOL586E/dsrX+revW4Ud6/zRvntftO3So6A2u9CJksWYdUwY9HuXkAoHUTIq2xhCT0NVkFfLMjPQ9SYu5YveL+usKeo/j1ztrXDg9EWIMzIEebUeZebScrFTnMb7sayA1u6j5zBlcA+0qlftm27vt+Ti6ICgoyey+UyX3Zh1drTPpa29vN7HHmfmyHL5qK2ttRU2rliEd5FREMXFw8aqJBISEjFj4TJU8vjwwJTQJ08R+uQpDp84rbDeZp26wc3ZETvXft6oBfr+xJFvoFHaE1BSFuTVysqlJY56k207FUMTKKmpQ69BO+g1aKew3OzPGUi6ehIJJ3ZD1cwSSkrKEH/6hEOJBOLIV1C3zv0zk34MXzoS68iRIxg9enSe9fbs2SP/Tf/pzei4uKybhvm7gXbx4kVERESgZcuWeVcG0KxZM0yaNAl37tz5rKAWE8UXMWlpacjIyBAEORISEnD8+PEc21SsWBFaWlrYuXNnjnUqVaqEkJAQvH//4ak/b968wfXr11G5cuUc233rdRUENTU1lHYvI3jp6OigVp26UFJSQlDgfkH9oP37oKGhCe9q1XNdb5269ZCUlISTx4Udx8ED+2FqZgb3srIvJKqqqqhVpy6ePnmCN69fy+tJpVKEnD8PK2sbGBp+eDTpxZALGPXXcFSo4IEZc+ZBXV39aw9BgVFTU4OTm7vgpaWtA68ataGkpIRThw8I6p88FAh1DQ14VMn7y+2O9auxba1/5iPi+36rXfgmGtSqhqTkZBw5fVZQvu/QUZibmqB8abdC2rLvr37dOkhKSsLR4ycF5fsCg2BuZopyZcvk2vbJ02e49dETEsViMQIPHka5smVgnpk8snePrljtt1TwmjlVli+wQ7u2WO23FLY2H36A7d1/ABOmTodPsyaYMPbfIhHQAgBVNTU4upUWvLS0dVCpuux6OhMsvJ5OBx+AuoYGylfOe8rl7g0B2LV+FVp36Qnfrn1yrJcV0Ip48xr/TF8Ie+fCOVfV1NRQyr2M4KWto4OatWX99MEDwn76YGD++unadeshOSkJpz7tpwMV++maderiWTb99MULiv00ILsLaWNrB3sHR0gkEmzfshkurm7w8Kz0NYci31TV1ODkVlrw0tLWQeXq2ffHpw7Lzh8Pr7zPn53/W40d6/zh+1tPdOie8/lTHGVIpXgemyx4pYoluPU6DhKpFFXthP/P3nZGSBNLcO+t4mjcvGipqaCMhR5exCZDXIRHaQFAQ29PJCWnIvj8VUH53mPnYG5siPKuOQfTpVIpxi1ei91Hz2HCoG7wbVgrx7rFQYPaNWSf6aeETyDcd/CI7DPdPedp3A1q18STZy9w6+59eZlYnIHA4GMo714K5p889AIASpiZwtXJAVqamlizeTu0tDTh26KZfHnAojkKr9bNZE90XTR9IiaOGv61u0zfQWroLSira0LDtYKgXLNsFWTEx0L8JvuHCokjXuH91sUKr/SIl8gQReP91sVIvi47VyWJsoCCmqW9cCUqKlAzt0ZGfGxB7xb9QHx9ffHw4cM8X6VLl4atrS3U1NQQHi58eFFoqOwGWtbgjrzs378fenp6qFOnTt6VvwJHahUxenp6KFeuHPz9/WFsbAxVVVWsXLkSurq6OT5ZUE9PD4MGDcKcOXMgkUjQsGFDSCQSXLx4ET4+PihXrhx69OiBXbt2oXfv3ujfvz8yMjKwePFiGBgYoEuXLp+1jQW5rm/J0ckJLVq3weqVflBRUUFpd3dcDAnB3t270G/AIMH0wwD/FVizyh+LlvmhYiVZYK5ajZrwquqN2TOmITExEdY2Njhy+BBCzp/Hf5OnCqY+9R0wECHnz2HYn4PQu9/v0NHRwf69exD6+BEmT/+QrPrmjesYNWI4TExM0K1Xb4VpNw4OjtD5ZGhmUWDj4IT6zVth2xp/KCurwMnNHTevhOBo4B507tUfeh9NEdq+bhV2rF+N8XOXooyHbETD/m0bsXXNCnhUqQZP7xp4dO+2YP2u7uVQlNXy9kK1yhUxed5SJCYmw9aqJIKOncLZS1cxY+yHBP/jZi7AvsNHcXDTalhalJC3Dz4pC4a9fC27S3f34WNoa8lGBzSu+yFZ9+u373DngWyEwYtXbwRtLS3MUbbUh5FJhaVWjWqoVrUKpsychYTERNjaWOPg4SM4dyEE0ydNkB+L/yZPxb4DB3Fg93ZYlpTdpWzbqgW2bN+Jv0aNwZA/BsDEyAhbd+zCs2fPsHLpIvl7ONjbw8HeXvC+rzKPnY2VFbwqfRgpE3z0GP6bMg1uri7o0LYNbt8VJlgt7eZapALHAGBt74g6TVti1/pVUFZRgaNrady+ehEngvagfY/fofvR9bT7f6uxe0MARs9ajNIVZPsdtH0jdq5bifJe3qhYpQZC790RrN/ZXZa4My01BTNHD8Wz0Ef4bcBQSDIyBHX1DA1RIpsk69+To5MTWrRqg4CVflBWlvXTly6GYN/uXej7ST+9xn8F1q72x4Kliv30nJnCfvrihfMYP+mTfrq/rJ8eMXgQemX103tk/fSk6cKHCsyfPQMVK1WGvoEhXr96iR1bNiMyIgKLV6z6PgcmFzYOjqjXrBW2r/WHsrIynEq549aVizgWuAedevUXnD//Z+++w5o62zCA32HvDYITBRVEQQEVFyriFrfWUat111X3+twbFScq4pbaqnXgXoh1i+LeA8WN7CUb8v2BpsYEUIucYO7fdXkVzjkJd05zIHnyvs+7a+t67N66EVN9fFHF6d/fxzs3+aN6rTqoUcDv48T4ONy7eQ0A8OLDSMIbIRdhYGQEAyNjyX0WBxFJ6bgYHovWVUpALBbjeVwq7EvooW55Exy8G4GUzH+nH7aws0BL+xJYefYpnkTnThnqU7MMYlMz8SIuVdIo3qOSGQy01PHH1a9bOVAI7q6OqFvdAbNWByA5JRXlrCxw6EwIzl67g4VjBkBVNfdz7v+t2Ih9Jy/g2LoFKGWRW6CZ6/8ndp84i45N66NSudK48eDfEbca6mqoYvPvaOXXkdG48zgcAPDybe40l2PnP6y4amGKqhWFX3W1QZ1aqFPTGbMXr8D79ykoW7okDp84hXMhV7Bg2sR//6bP98H+o8dxZMdWyd/0jq2bY/ue/Rg9dTZGDe4PE2MjbN+7H+EvXmLdMunfIxu37YCpiQmsSlggJi4Ox4JPI/jsBcyfMgElzP8tftVyli6CAMCV6zcBADWqOcDYqOhnQRQ2hxaNoKmrDU393Ne4VlVs4dwpt7B3+/ApZKZ+20hJRZLx7D4ywh9A37MLRBpayI6PgpadCzTLV0HCoa3Ah1HB+s27Q8uhJmLWz0ZOYhzE6anIfCm70q84PRViFVWpfZmvniLz7XPo1mkBkZoGMl6FQUVTC9o13KFqZIbkQwFF9njpx6ahoQE3NzccOXIEffr0kWw/ePAgzM3NpaYN5iUjIwMnTpxAs2bNvvi1+KFDuR/YVav2de8NWdRSQD4+Ppg6dSomTpwIIyMj9OrVCykpKdi4cWOetxkwYABMTEywefNm7N27F7q6uqhRowZMTXOnJlhZWeGPP/7AwoULMX78+Nw+IrVrY+LEiTK9ngpSmPf1vY2bOAnm5hb4e8dfiI2JgZVVSYwcMw5dukk3Zc/JESM7OxufT6+ev8gHa1f7Yr3fGiQmJqCctTVmzp2Pps1bSB1XunQZrF63EWt8V8B73hxkZWWhYqVKWLhkGeo1+LdZ9ZWQEKSnp+HtmzcYPnigTF5fv3VwFmC025foP3ICTMzMcWTvTsTHxsDc0gq/DhuNlh1/kjpOLM5BTk42Pp2MEXoh9xOmG5cv4sZl2eWG/z51+btmLwzLZ0/B8vVb4LsxAAlJSShftgwWTpuAVk3+/eQhJycH2dk5Ms+j0dPnSX3/196D+GvvQQDAndOHJdsvX7+FKQuWyr1tuxaemDtJMT6tXbpwPlasXovVa9chITER5a3LwXvuLLRs1lRyTHZ2jsw1paGhgfWrV2LJSl8sWLwEaWlpqFypElYvXwJXl297c3zm3AXk5OTg/oOH+KW/7KoqR/btQSk5q1wJrc+I8TA2M8fxwL+REBcDsxJW6DVkFJq1l55ymfPhehJ/cj1du5Rb6Lx15RJuXbkkc99/nMjdlhAXi6cPc4t8AauXyhzXoGkrDBo/rdAe07caM3ESzCwssHtn7u9pS6uS+H3MOHT+bPGMHPGH39Of3X7uQh/4r/bFhrW5v6fLWltjxtz58Gwm/Xu6VOkyWO2/EX6rVmDhJ7+nF/hI/54GgMh377B0kTcS4uNhaGiE2nXqYoHPUql+XELqN3I8TMzMcXTv34iPi4F5CSv0HjoaLT+bsivOEec+fz65EK9dzH3+5PX7eEdwiOTrl+FPsXTmZKn9G5YvBABUcXLG9KVrCu0xFYUd118jITULDW3MoK+lhtiUTOy++Qanw6RXLFMRiaCqIt0u/HVCGpzLGKF+eVNoqqkgJSMbYTHvsfXKS7yISy3aB/KNVkweiuUBe7ByWyASkt6jQmlLLB43CK3da0uOyckWIzsnR2o+5anLNwAAe06cw54T0iOWS1qY4uSGRZLvL996gMnLpV+vjlywGgDQ3qMe5o/qV8iP6tssnzsDy/03wnfDFiQkfvibPmMyWnk2lhyTk5P94W/6vydDQ0MD65cvxJLV6zBvmS/S0tJhV9EGaxbPQ80a0sWp9IwM+G3+A++ioqCloQlHB3tsWrkYLk6K/UHe99BjzRyYWv/7IYpL1zZw6doGAPA/6/qIea74heEvkbBvA3Trt4FuvZZQ0dJFVuw7JBzYjPSH1/89SCSCSEUVX748w6fEiP97NXRqekCzcnXo1GwMcUYGsmIiEL/bDxnP7hd8FwQg9+8j5W/o0KH4+eefMWXKFHh5eeHatWv4+++/MWvWLKnFhpo2bYqSJUtiy5YtUrc/ffo0EhMT85x6OHbsWJQrVw5VqlSRNIrfvHkzmjRp8tVFLZFYrIRd0qhYiElKETqCQnudlCl0BIVnr8KljfOTo2Nc8EFK7Fa8YkxjVGTWRlypKz+vkzIKPkiJrb/0ouCDlNyKal8/LVKZZBuXKfggJTbcQvhVgBXdrEXthI6g0CzGLhc6wndh9/s+oSN8swfLi+45e/r0aSxZsgRhYWGwtLTEr7/+KjMzy8PDA6VKlUJAgPRIwREjRuDatWs4c+aM3BW3165diwMHDuD169fIzMxEqVKl4OXlhYEDB371LAuO1CIiIiIiIiIiIomGDRsW2A8rr97fK1askLv9o0GDBmHQINlZFt+CjeKJiIiIiIiIiKjY4UgtIiIiIiIiIlIK7Kn1Y+FILSIiIiIiIiIiKnZY1CIiIiIiIiIiomKH0w+JiIiIiIiISCnkcPrhD4UjtYiIiIiIiIiIqNhhUYuIiIiIiIiIiIodFrWIiIiIiIiIiKjYYU8tIiIiIiIiIlIKYjF7av1IOFKLiIiIiIiIiIiKHRa1iIiIiIiIiIio2OH0QyIiIiIiIiJSCuIcTj/8kXCkFhERERERERERFTssahERERERERERUbHDohYRERERERERERU77KlFREREREREREohhz21figcqUVERERERERERMUOi1pERERERERERFTssKhFRERERERERETFDntqEREREREREZFSEOdkCx2BChFHahERERERERERUbHDohYRERERERERERU7nH5IREREREREREqB0w9/LBypRURERERERERExQ6LWkREREREREREVOywqEVERERERERERMUOe2oRERERERERkVJgT60fC0dqERERERERERFRscOiFhERERERERERFTssahERERERERERUbHDnlpEREREREREpBTE2eyp9SPhSC0iIiIiIiIiIip2OFKLFJZh8muhIyi0nS/UhY6g8BwMXgodQaFlG1gKHUGhmenkCB1B4amKhE6g2NRV+NlhfobUsxY6gsKL0+VL9fwYPjoldASFNmtRO6EjKLxp4/YJHUGh+Y1dLnQEogLxLyURERERERERKQVxDqcf/kj4ESIRERERERERERU7LGoREREREREREVGxw6IWEREREREREREVO+ypRURERERERERKgT21fiwcqUVERERERERERMUOi1pERERERERERFTscPohERERERERESkFTj/8sXCkFhERERERERERFTssahERERERERERUbHDohYRERERERERERU77KlFREREREREREqBPbV+LBypRURERERERERExQ6LWkREREREREREVOywqEVERERERERERMUOe2oRERERERERkVJgT60fC0dqERERERERERFRscOiFhERERERERERFTucfkhERERERERESiGH0w9/KBypRURERERERERExQ6LWkREREREREREVOywqEVERERERERERMUOe2oRERERERERkVIQs6fWD4UjtYiIiIiIiIiIqNhhUYuIiIiIiIiIiIodTj8kIiIiIiIiIqXA6Yc/Fo7UIiIiIiIiIiKiYodFLSIiIiIiIiIiKnZY1CIiIiIiIiIiomKHPbWIiIiIiIiISCmIs9lT60fCohZJ9OrVCzo6Oli7di0AYM+ePZg0aRIuXrwIExMTJCYmYsuWLWjZsiVsbW0FTvv13qekYsWGABz75xwSEpNQvmxp9O/RGa2aNMz3dhGR0di0Yw8ePHmKh0+eIen9e8yZMBIdWnpKHZf8PgXb9hzAxdDrePriFVJS01DaqgTaNG2MXp3aQlNT43s+vEKVnZWFKwe24+6540iJj4WBeQk4NWmL6k3bFXjbyOdhuLB7M2JePkNKUgLUNDRgbFkGTk28YF+vidSxYrEYN07sw63gA0iMegdNXX3YONdBvS6/QktX/3s9vG/yPjUNK/7ch6PnryIh+T3Kl7LEgI4t0KpBzXxvd+LiNRy7cA23n4QjMjYepoYGqGFvg6E/tYF1yRJSxy77IxBnrt3Bm6gYpKVnwMLECHUc7TCwcyuUsjD9ng/vq6SkpMB31SocP34CCYmJKG9tjV9//RUtWzQv8LYxsbFYtmw5zpw9i7S0NFSqWBHDhg5B7dq1pY47feYMjh8/gQcPHyI8PBxZWVm4ef1agfd/6VIIBv32GwDgn+CTMDY2/rYH+Z1lZWVh+9aNOH7oAOJiolHCqiS8OnZBuy7dCrxtyvv3+HPzejx9/Ahhjx8iIT4ePfsOQK9+g2SODfx7O/45fhRvXr9EakoKjExMUKWqI7r36Q/rCjbf46F9taysTGzZuBEHD+xDTHQ0rEqWQucuXdGlW/cvun1KSgrWrlmF4BPHkZiYiHLW1ujV+1c0bd5C6rjZM6bh8MEDMrcvW84aO3bvldq2/c9tuHH9Gh49fIC3b96ghrMLVvuv//YHWciysrKw+49NCD5yAHGx0ShhWRItOnRB644/FXjb1JT3+HvrBjx78gjPHj9EYkI8uvYegG6/DpQ5ViwW4/CeHTgauAvvIt5AT98Ates3Qs8BQ6Cnb/A9Hlqh+XiOTh759xpr2b4LWnf6snO0c4v0Ofqpj/xz1KFh3n8DSpUtB9+AXf/pcRSGj9fYoU+usU5feY35f3aN/SznGpuTzzW2/bNrLCY6Gps3rMfFC+cQHR0NY2Nj1KxVG30HDoKlpdW3P9j/6H1aOlbsPIxjl24i4X0Kype0QH+vJmhVt0a+tztx+RaOhdzEnacvEBmbAFNDfdSoVB5DOzVHOStzqWP7zF6FK/fDZO6jnmNl+E+U/T2uSETqGtCt3xqalWtARUsHWbHvkBIShPSH17/qfnTrtYJunebIin6L2M0LpHeqqkLHuSG0HGpB1dAE4owMZEa+xPuLx5D1JrzwHoyC0NTTReupw1G6ehWUqeEAfXNTHJyxDAdnLhM6GlGxwaIW5alRo0bYsWMHDAxyX7gmJibC19cXFStWLJZFrZHT5uHOg0cYNbAPypUphUNB/2Dc7EXIEYvRxrNRnrd78foNDgX9AzvbCmjg5orDJ0/LPe7tu0gE7NoHr2aN8UvXDtDR1sK1W3exevOfuBh6Het95kAkEn2nR1e4Tm1difsXTqJOx94oUb4Snt++in+2rUFGWgpqeeX/Ijg9JRn6JmaoXLsR9ExMkZmehgcXTuGY/0IkRr9D7XY9JMee3e6P68cC4dyyE8o61EDsmxe4uGcr3j17hJ+mLoOqmuL8ivrd2w93njzHqF4dYF2yBA6duYyxS9bnPn/ca+V5u/V7j8HMyBCDOrdEmRLmeBsdC//dR9F5zFz85T0RFcuWlByb9D4FrRvURIXSltDV1kLYy7fw+/swgq/cwoHl02FkoFcUD7VAo8aMxd27d/H7iOEoV64cjhw5iomTJkEszkGrli3zvF1GRgYGDhqMpKQkjB83FiYmJtixYyeGDBuOtWvWwNXVRXJscPAp3Lp9G3Z2laGhro579+8XmCslJQUzZ8+Gubk5oqKiCuWxfi++ixfg5LHD+KX/YFSyr4KrIZfgt9wHqSkp6Na7b763TUxMwJH9e1HBthLqNGiEowcC8zw2KSEBrnXqooJtJejp6yPizWvsCNiMkQP7YOWGAJQpZ124D+wbLFowH0cPH8KAwUNQpYoDLl26gKU+i/A+JQV9+vYr8PaTxo3B/Xt38duwEShbrhyOHz2Caf+bhByxGM1bSD8fNTW14Ou39rNtmjL3uXf3Lmhra8PFtSbOnz3z3x7gd+C/dAFOHz+C7v0Gw7ZyFdy4chEbV+Y+fzr//Gu+t01KSMDxA3thbVsRteo3RNChfXkeu3nNMhzatR1tf/oZji618Cr8KbZvWosnD+5h/uqNUFOg39GfW7tkAU6fOILufQejol0VXL9yERs+nqNeX3CODu6FtU3B52jB6o0y2x7dv4ONK5egdoNG//VhFIpFC+bj2IdrzL6KA0IuXcAyn0VISUlB7y+8xh58uMbKfLjGpv9vEsRiMZrJucZWFnCNZWRkYMjAfkhKTES/Qb+hfPkKePE8HOv9/RBy6SL+/HsPdHV1//sD/wYjl27CnbCXGNW9NcpZmuPQhWsY5xuAHHEO2tRzyfN2Gw4Ew8xIH4PaNUXpEiaIiImH/76T6Py/Jfhr1u+wLW0pdXwZC1N4D+0ptU1fR/u7PKbCZNiuH9QsyyL5zAFkx0VCy94Fhl59kCBSQfqDq190H2rmpaBT0wPZ7xPl7tdv1g1a9q5ICTmBjBePoaKtA51anjD+aQTi/lqGrIgXhfmQBKdnaoz6A3vg1c37uBl4HPUHfFmxmYj+pbivRkhwJiYmMDExETpGoThz6QouhF7Hwqnj0PrDyKzaNRzx9l0UfPw2omXjBlBVVZV7W1enqji3708AwJ0Hj/MsapWyssTx7Ruho60l2ebm7ARtLS0s9tuIa7fvwcXRoZAfWeGLeRWOO2eOoW6nPnBt1QUAUMbeCWnJibi8/y84Nm4NLb28P6EvY++EMvZOUtsqVHdDYnQE7vxzWFLUSo6NxvXjgXDy9EKDn/oDAMpVdYG2vhGO+i3AvXPHUa1Rq+/0KL/O6au3ceHmfSwa3Q+tG+QWsGpXq4w3UTFYvGU3WtZzhaqq/BaFqycPhamR9Plyc7SD56DJ2HogCLOH/iLZPnVQD6njalWtjFIWZhg8ZyVOXr6JTp71CvmRfb2zZ8/h0qVLWDBvHlq2zP2UvlbNmnjz9i2WLF2G5s2a5Xkt7Q0MxJMnT7B18yY4OeU+R2q6uqLLT92wdPlybAvYKjl2+rSpUFHJPafzFiz4oqLWshUrYGBggAb162PdesUZVfO58KdhOHZwH3oPHIIuPXP//zs5uyIpMQF/bdmA1h06Qd/AMM/bl7C0wq6jpyASiZAQH59vUatXf+lP/R1ruMDOoRoG9uyCU8eP4pcBgwvlMX2rp2FhOLAvEIOGDMXPv/QGADi7uiIxIQGbN6xHh06dYWiY97m4cO4sLodcwsw58yRvrl1cayLi7Vv4Ll8Kz6bSz0cVFRGqVnMsMNdff++WPP96du38Xx5ioXvxLAwnD+9Hj/6/oX23XgCAqjVckJSYgF0BG9C8bcd8nz/mllYIOBgMkUiExPj4PAs2MVGROLRrB1q074JfBg0HAFR3rQ1DYxMsnT0Fp44eQNM2HQr/ARaCj+eoZ//f0KH7J+coIQF/B2xA83YFn6M/vuAcAUBlh2oy247v3wORSATPVgWPbv7enoaF4eCHa6znJ9dYwifXmEEB19iVkEuYkcc11uQbrrGb16/h5YsXmDRlGrzad5Bk0tHVxYwpkxF6OQQNG3v814f+1c5cv4cLtx9h4bCf0bquMwCgtkNFvI2Og8+fB9CyTg2oqsj/W79qbD+YGkqPMK/tUBFNR8zB1sOnMWug9AhBTQ11OFW0/i6P43vRKF8FGtZ2SDi4BekPckdOZ758AlUDE+g1bIv0h9cAsTj/OxGpQL9FD6TevAA1i5JQ0f7swzpVVWjZuyD9/lW8P39Ysjnz9TOY/TYbWvauSP7Biloxz19htHHuNaNrasyiFtE3YKN4Bbdz5054eHjAyckJvXv3xo0bN1C5cmXs2bMHAFC5cmVs2LBB6jYbNmxA5cqVJd+npKRg1qxZaN68OZycnODh4YFp06YhKSkp35+9Z88eVK5cGbGxsXj16hWaNMmdOvb777+jcuXKqFy5Ml69eoWOHTti7NixMrdfsmQJ6tati8zMzP96Gv6zoLMXoaOtjeYN60ttb9/SE5HRsbh1/1Get1XJ4wXM53S0taQKWh9Vs68EAIiIiv6KxMIJu3YBEIvh0KCZ1PYq7s2QlZGO8Nuh33S/2noGEH3ywvdt2H2Ic3Jg7Sg9daNC9dxpaE9Cz33Tz/keTl66AR0tTTSvK/0pbYcmdREZG49bj5/ledvPC1oAYGFiBEtTY0RExxX4s00Mc1/wqeVRNCtqwadOQUdHB02bSk+/bd+2LaKionD79p28bxt8CtbW1pKCFgCoqamhTatWuHPnDt5FRkq2f+l199G1a9ewe/cezJg2Nc8Co6K4ePaf3BEOrb2ktjdt7YX09HSEXrqY7+1FItF/GvVpaJQ7JTOv4mNROvPPKYjFYrTxkn7z39qrLdLT03Dp4oV8b3/6n9zno4dnU5nbR0dF4e6d29+U62uff0Xp8rnTEIvF8Ggh/fzxaOmFjPR0XL9cOM+fR/fuICcnG86160ptd62T+3f04ungr0xedEI+nqOWeZyjkO93jaWmvMeF0yfh4OQMq9Jlvuk+CtPHa6z1d7rG7n3DNfZxhJ+unnRBQ18/tyikoSFMu4ag0Nu5f+trS38w175hLUTGJeLWk+d53vbzghYAWBgbwtLEEG9j4gs7qiA0K1ZDTkYa0h/ekNqeeicEqvpGULMqV+B96NT2hIq2Dt6fOyj/ALEYEIuRk5EqtTknIw3inByIs4V/T0E/BnFOdrH9R7IU91Ub4dSpU5g6dSpq164NX19fuLm5YfTo0V99P2lpacjOzsaoUaOwbt06/P7777hy5QqGDh36xfdhYWEBX19fAMDo0aOxY8cO7NixAxYWFujSpQuOH8/ts/BRdnY2AgMD0a5dO6irq3915sL25NlzVChXGmpq0m/iKlewBgA8fpb3C5X/KuTaTQCArXXZ7/YzClP0q+fQ1jeErpH0KD3zMhUA5I7k+hLinBzkZGcjJTEeN08ewPM7V+Hauqtkf3ZWFgBA9bPnh4qqGiASIfpl3oWiovb4xWvYlLaC2mdFgErlSkv2f42XEVF4ExUD2zLy+4ZkZWcjLT0D956+wIINO2FdsgQ83fLv51FUnjx5gvLly8tMO6pYqWLu/rAned82LAyVKlaU2f7xtmFhsj1GvkRaWhqmz5yFn3v2gL29/TfdR1EKfxoGQyNjmJiaSW2vYFNRsr+wZWdnIyMjAy+fh2PZgtkwMjaRKaoJ4WnYExgbG8PUTPpc2FasJNlf0O3LWcs+H/+9vfS5TE9PR+vmnqhXywVtWzXHYu8FSEhI+K8Po0i9eBYGAyNjGH/2/ClXoaJkf2HIysp986j+WYFBVVUNIpEIz5/m//9GSC+eyj9H1jaFe47kOXvyONJSU+HZRvhRWkDuNWL0Ha+xz39vp6eno01zT9Sv5YJ2rZrDx3sBEj+7xqo5VYedvT02+K/Fvbt3kZKSgocP7sNvlS8q29mj5mc9FovKk5cRqFDSQuZvfeUPbQIev4z4qvt7+S4Gb6LjZKYe5u6LRp0B/4Pjz2PRYuRcLN9xGGkZGd8evgiomVkhO+YdIM6R2p4V9UayPz+qpiWg69YMSSf+hjgzj8eak4PUG+eg5VALGrbVINLQhIqBCQyadYM4PRVpt/IvSBORcuL0QwW2Zs0auLq6Yv78+QCABg0aIDU1VdLI/UuZmJhg5syZku+zsrJQunRp9OjRA8+ePUP58uULvA8NDQ3Jm8Vy5cqhevXqkn1eXl7w9vbGwYMH0aNH7vSpc+fO4d27d+jcWTGmbcQnJqG0leyLCkOD3E/WEhLlz+v/rx6GPcPG7Xvg2aAOKtsUfJ4VQVpyIrT0ZD9xVNfUgqqaOlKT8x/h91Hw1pW4fSp36Liqmjoa9vwNjo1bS/ablsot8r15dA9l7KtLtr99cg8Qi5H2hT+nKMQnvUcZSzOZ7UZ6upL9XyorOxtTV22FjpYmfmnrKbM/Ki4BDfuOl3zvWKk8Ns8eDV05owCFEJ+QgNKlS8lsN/zQey8hPu8CQXx8vKRH39feNj+rVq9BTk4Ofhss7FS6L5WUkAB9OedBS1sb6urqSEyML/Sf2d6zATI/vGEqVaYsFvquhXkJ2d+JRS0hIUHuNDDtD+eioOdEQkICSpYqLbPdwPDDcyohXrLNtmIlDPu9EmxscntCXr92Fdv//AOhVy5j49Y/oKOj8x8eSdFJSkyAvpwm7Vra2lBTV0dSYuEU6UqXy/2b9eD2TVSr4SrZ/vDuLYjF4kL7Od9DUmLe11hhniN5Th7eD109fdRxL/rpc/IkJCTA4D9cY4kFXGOJcq6xCp9cYzs+XGMbPrnG1NTUsNJvHWZOmYz+vX+W3N7ZxRXzFi6GmpowH4bGJ6egtIVs2w1D3dzcCclf+bd+3fbcv/Wt3KX21ahcHi3cqqN8SQukZ2Ti7M0H2HgwGNcePsWmKUMUdqSoSEsX2QkxMtvFaSkAABWt/PqgiWDQvAfSH99CxrN7+f6c5FN7IU5Pg2HbvhB9OBfZibGI37kK2fHFY9YDERUtFrUUVHZ2Nu7evYtx48ZJbW/evPlXF7UAIDAwEJs3b8bz58+RkpIi2R4eHv5FRa386OnpoWXLlti9e7ekqLV7927UqFEDNjaKsboWgAKmEhR+A/fXb99hyKRZsLQww8xxIwr9/gtDzmfL2YokL6TyPh9fOiOjpld3VG3YEimJ8Xh6/RL+CViNrPQ0uHzo02Ve1galKlfD1SN/w9iqNMo6OCP2zXOc3LwiN4fCNdXP55x84fNHLBZjqu9WXL33BMvGD4KVmeyLZ2MDPexcNAkZmVl4+ioCG/YeQ5+pS7Bl9hiYm+Td96Qo5ft4C/j/lu91+A3/z2/fuYNtf/6J1b6+0NJSjMLfpz6OSPxI5cMIgPzOw5c+n77GEr+NyMrMxNvXr7B3x5+YMHww5i9fXaQrIGZ9di5Uv+RcfMGpyP8p9e/O7j1/ltpXy80NlSpXxuQJ47Bv7x6Z/Yogr+dPfg+6sJ4/5W0roYpTDezbEYBSZcvByaU2Xj5/Cr8lC6CiogoVkWK88c7zHP2H31Pf6sWzMDy6dwctO3SBhpwFCL43Ia6xT3d2y+Ma+9+Ecdi/d49kf1ZWJqZNmoCnYWGYOGUqypazxtvXr7F543r8PvQ3rPRbCz05H64VhcL4GyUWizHVfweuPXiGZSP7wMpUehXe37tK9wt1r1EFpcxNsGjbfgRfvQPPmgX3/RNOAT2z8qDt2giqxuaID1xX4LE6bs2gU7Mx3l84gszXTyHS0IJOjQYw6jIE8btWIyvy60bHE8nDaXw/Fha1FFRsbCyysrJkGrWbmcmOFinIiRMnMGHCBPz0008YNWoUjIyMEBUVhaFDhyI9Pb1Q8nbt2hXdunXDgwcPYGFhgeDgYMyYMaNQ7rswGBnoI17OaKyExNzRQB9HbBWWNxGR+HXUZKipqmCDz1wYFfL9F4aEqAhsGttbaluniQuhpWeAqBeyUzMy09OQnZUJLd0veywGphYwMLUAAJR3ym2ufn7XJtjXbwodAyMAQOthU3B83WIcXjUXQO6IrhrNO+DF3etIT0n+1odW6Iz0dZEgZzRW/IdPbQ31Cx7hIRaLMXVVAA6cCcG84X3QpHZ1ucepqaqiqq01AMDZ3hb1azig2eDJWLfnKCb3L3gp+u/NyNAQ8XKma30c7WhomPciAkZGRnKnen3JbfMyfcZMNPHwQBWHKkj80CcwPT13RNL79++hoaEh2CpaEW/foE/ntlLbvFf6Qd/QEGGPZfv4paWmIjMzM98G1t+qYmU7AIB91Wpwq++Ovj91wOa1qzDDe0mh/yx53r55g45tW0ttW+W3DoaGhnj86KHM8akfzkV+DawBwNDQUO5Ik8SE3OeUvBEqn2rY2APa2trf3Hvre4p8+waDu0tPYZu11A/6BoZ49kT+8ycrMxN6ckYofauxMxbAd8FMLJ4xCQCgpq4Or87dcevqFbxXgNG0kW/fYFA36XM0e1nB50jeSLfCEHRoPwCgaeuin3r49s0bdPrsGvMthGvM4DtcYwcCA3Hxwnls2PoH7KvkLqBTvYYzHKvXQJf2Xtjx55/oN3BQXnf53Rjp6cgdeZ3wPvfD4I8jtvIjFosxbd0OHDx3FfN+6w4P16pf9LPb1HfBom37cfPJc4UtaonT3ssdjSXSyj0vOWnyR7Kp6BtDr14rJJ85AGRnQ6T5YZVHkSogEkGkqQ1xdhaQlQlVkxLQrdcSyaf3IzX0lOQ+Mp7dg8mvk6HXqAPid/oW/oMjomKNRS0FZWJiAjU1NcTGxkptj46WHnaroaEh04j98zeNR48ehb29PWbNmiXZdvny5ULNW6NGDVSsWBG7d+9GqVKloK6ujpYtWxZ8wyJSsYI1Dp88g6ysbKm+Wo+ehufuL19wc8sv9SYiEn1G5i51vXnZAlhafH0hsijoGZui+4yVUtuMLUvjbRlrPAr5B+/jY6X6an3scWVa2vqbfp5lhcq4feoQEqIiJEUtHQMjtB8zBymJ8XgfHwsDsxJQ09DArZMHYVuzfv53WIQqlSuFQ2evICs7W6rXxuPnuZ8WViwrOx3vUx8LWnuDL2D20F5o28jti3+2pZkxzE2MEP7m3beFL2QVK9riyNFjyMrKkuqx8vhxbl8W2w/TTuSxtbXF4yePZbZ/yW3zEhYWhrCwMBw/cUJmX2uvtqhcqRJ27tj+1fdbGEzNzLFi/VapbaXLlkP5CrY4HXQcsTHRUn21nn3obfO9R0/p6OqiTDlrvH5ZdCtImZmbY+PWP6S2lS1njQq2FXHi+DHEREdL9fwJ+/A8qVDAc8LGtiJOHDsq83z89/YFn0uxWAwVhRsZChibmWOh3xapbaXKlkPZu7Y4F3wccTHRUj2jPva4Klu+8J4/RsYmmOK9HPFxsYiPjYF5CStoaGri6L7dqNNQ+Ol1xmbmWLRW9hyVq1B05+ijzMxMnD5+GDaV7VG+YuWCb1DIzMzNsUHONWZjWxFB//EaC8rnGvuSEflisVhqBNTjRw+hqqqKynbSPRBLlS4NQ0OjAvt8fS8Vy1jh8MXrMn/rH714+2F//lO2Pxa09p6+gtkDfoJXfdd8j5dHEX8XfZQV9Raa9s6ASEWqr9bHXlpZ0W/l3k7VyBQidQ3oN+kE/SadZPabD1+AlKv/IPnUXqiZl4RIpIKsz1c4zMlBVtRraJT++tcJRPTjU4yx4yRDVVUVVapUwYnP3qgdO3ZM6ntLS0uZJp0XLkivZJOWlibTrP3AgQNfnenjfeQ1uqtLly44cOAA/v77b7Rq1Uqw0RHyeDaog5TUVJw4c15q+75jwbAwM4HjhxUK/6s373ILWtk5Odi4dB5KWloUyv1+D6pq6ihRvpLUPw1tHdjUqAOIRLh3Xvq5d+/ccahpaMK62te/SAOAV/dvQiRSgaG57ItCHQMjmJetAE0dXdwKPoTM9DRU92wr516E0aR2DaSkpePExWtS2wNPXYSFiREcK+Y9hVcsFmPa6tyC1ozBPdGxSb2v+tnP30biXUwcylqZf1P2wubR2AMpKSkIOnlSavuBAwdgbm6OatXy/lS6SePGePYsHLdu//uJfVZWFg4dPoxq1arCwuLrH+P6df4y/9p65TZAX7ZkCaZPm/bV91lY1NXVUcm+itQ/HV1duDVoCJFIhKAj0qs/nTh8AJqamnB1q/NdcyXEx+NZ2BOULMKV2dTV1WFfxUHqn66uLtwbNoJIJMLhg9J/kw4d2A9NTS241ambxz3matioMVJSUvBPsPTz8fChAzAzN4dD1Wr53j74ZBDS0tLgUE3xRkaoq6vD1q6K1D9tHV3UqucOkUiEU8cOSR1/6uhBaGhqokatwn/+GBmbwNqmInT19HB8/26kp6WiZYeuBd/wO8vzHNWXf46CP56j2oV/jq6cP4PEhHh4thLmb1de11iDPK6xw//xGjvy4RqrUsA1dkrONWZmbo7s7Gzcv3dX6tgXz58jISEeFhYlvuQhFzrPmtVy/9ZfviW1fd/ZK7AwNoCjbd4fgIrFYkxftxN7T1/B9H6d0aFRra/62fvOXAEAOH0Yqa2I0p/cgoqGFjQrSa8OqVW1FrKT4pH1Vv6iS1mRrxG3Y6XMv8zIV8hOiEHcjpVIvX4WAJDzPncEoHpJa+k7UVWFukVpZCfFF/bDIqIfAEdqKbDBgwdjyJAhmDRpElp9WPL+4EHpN0HNmzfHli1b4OjoCGtrawQGBsqM5qpbty5mzZoFX19fODs748yZM7h48etXDzE3N4eBgQEOHTqE0qVLQ0NDA5UrV5YsvdyuXTv4+PggLi4Oc+bM+fYH/h00qO2Kuq41MGvpaiSnpKBsqZI4fPI0zl2+Cu//jZH0nZi6cDn2HT2Jo3+ulypIHfvnHADg1dvclW/uPnwMnQ+Nu5s3yh1RFBMXj76jJiMqJhazx49AbFw8YuPiJfdRwtxMYUdtfcq0tDWqujfHpb0BUBGpoESFynh+5ypu/3MEdTv1hpbev9M2LgX+gZB929BpgjdK2+W+YA3auAwa2jqwrFAZOobGSE1KwOMrZ/Eo5DRcWnWRjNICgNv/5DaSN7IoifSUZITfuoI7Z46hXudfYWEtu0qeUNxdqqKukz1mrv0TySlpKGtlgcNnL+Pc9bvwHtkXqqq5nw9M8d2Kfacu4uiaOShlYQoAmLt+O3YHnUfHJvVQqVwp3Hz4VHK/6upqqFIht2H+w/BXWLBxJ5rXdUHpEmZQEYnw6PlrbD1wEkZ6evi1XbOif+By1K9fD25ubpg7bz7ev3+PMmXK4OjRozh/4QLmzZ0juZamz5iJAwcP4uD+fShZMnflqPbt22H7zp0YN34Cfh8xHCbGJtjx9048f/4ca9eskfo5b968wd27uc1kX718BQA4cSIIAFCyZEk4OFQBANR0lS2yhoaGAgCqV3eCsbGxzH6hWVewQfM27RCwwR8qKqqoZF8F1y5fwpH9e9F7wG9S0w+3bVyHbZvXY8Hy1XCs4SLZfuXieaSlpSL1Q4/EF+HPcPZU7vmpWac+tLS08D45GZNGDkHjpi1QskxZaGpq4vWL5wj8ezsyMzPQ89cBRfvA5ahgYwOvdu2x3t8PKqqqsK9SBZcvXcK+vXsw8LehMPxkatSGdWuxaf06rFjtB2eX3P/vderVR63abli4YB7ev3+P0mXK4MSxo7h04QJmzJ4reT6+ffsG0/83GU2bNUfpMmUAkSi3ifVff6JCBRu0bd9BKtf9e3fx9k3uil7v37+HGGIEB+UW+u0dHGBlVbIoTo9cZcvboEmrttixyR8qKiqoaFcFN0JDcOLgXnTvJ/382bllHXZu2YCZS1bBofq/z59rIeeRlpqG1NTc6UKvnj/DhX9yixYubvWg+aE/3YmDewEAliVL431yEq6FXMDJw/vRs/8Q2FSyK6qH/NU+nqPtH86RrV0V3LgSghMH9qLHZ+dox+Z12Lk19xxV/eQcXb10HulpaUhNyT1HL8Pln6OPgg7tg4amJhp4tiiCR/jlKtjYoE279tjg7wfVD9dYyCfX2KfTDzd+co3V+OQaq1nbDYvkXGPTP7vGZvxvMjw/XGOiT66x8p9dY6292mHHn9swefxY9OnbH2WtrfHm1Sts2bQR2traaN9JmEWGGlS3R91qlTBr4y4kp6ahbAkzHL5wHeduPoD3kJ5Q/dB3dKr/duw7E4qjSyejpHnuiPZ5W/Zi9z8h6NioFiqVscLNx+GS+9VQV4O9dW6z/asPnmJt4Al41qyG0hamSM/Iwtmb97Er+BJqO1REI+cqRf64v1TGs/vICH8Afc8uEGloITs+Clp2LtAsXwUJh7YC4tx+W/rNu0PLoSZi1s9GTmIcxOmpyHwpO/pOnJ4KsYqq1L7MV0+R+fY5dOu0gEhNAxmvwqCiqQXtGu5QNTJD8qGAInu8RcmhRSNo6mpDU18PAGBVxRbOnXJnvNw+fAqZqWlCxvshsafWj4VFLQXWpEkTzJw5E35+fjh06BCcnJzg4+ODbt26SY4ZMmQIYmJi4OvrCxUVFXTt2hV2dnZYvHix5Jhu3brh1atX2LZtGzZu3Ij69evDx8cHXbt+3aesKioqmDdvHpYuXYo+ffogIyMDJ0+eROnSuX+ojYyMULNmTbx9+xY1atQonJNQiJbNmowVG7bCd+M2JCQloXzZ0lg0dRxaNWkoOSY7OwfZOTkQi6UbYY6esUDq+78CD+GvwNxPgO/+k1toDAt/gZdvcoteE+b6yPz8Ib27Y+ivPQv1MX0vjX8ZDl1jM9wI2o+UhDgYmJVAo56/oXpT6T4hYrEY4s/Ol5WtPe6dPY7754OQnpIMdU1tmJWtgOYDx8O+XhPpHyQGrh/fi8TodxCpqMCirA28RkyDjXP+nxwLYfmEwVi+bR9Wbt+PhKQUVChticWj+6NVg5qSY3Jycp8/nzZS/edK7qikPSfPY89J6ZGCJc1NEeQ/DwBgamQACxMjbNp3AtFxCcjKzoGlqREaulbDwM4t5TaVF8pSn8VY6bsKq9f4ISEhAeWtrbFg/ny0bNFcckxOTg6ys7OlWspqaGhg3Vo/LF22HAu8FyItLQ2VK1XCqpUr4erqIvUzroSGYtr0GVLbxo7PXRWyrZcXZs+aieJs2NiJMDU3x/5dOxAXGwMLSysM/n0M2nXpJnVcjjgHOdnZMr+TVi5egMiIf6d6nA0Owtng3KLW5l37YWlVEuoaGqhgWwlH9u9F1Lt3yMhIh7GpGRxrOGPK3IUoV77C93+gX2DcxEkwN7fArh1/ISYmBlZWJTFqzDh06dZd6jhxjhjZ2dkyfYrnL/LB2tW+WOe3BomJCShnbY1Zc+ejafN/iwu6unowMTXFX3/+gdiYWOTkZMPSygpdf+qO3n37QltbW+o+d+3cITOy5X8Tc59/U6bPRGsvYUeSDhw1ESZmFji8dyfiPzx/+g4fg9Ydpfvu5eSIkZOTjc+ePli7xBtR7/59/lz4JwgX/sl9/vj9tQ8WH4p2YrEYB3dtR9S7txCJVFChYmVMmL0Iteo3hKIbNHoiTM0tcHjPTsk11m/4GLTuJH2OxGJx7qIpn5+jpd6IipB/jtZu//ccAUB0ZARuhobAvWlL6Orpfb8H9Y0+XmN/7/gLsR+usZFyrrGcD9fY58+Xj9fY+k+usZl5XGPbP7vGusi5xkpYWmLD1j+wcZ0//ti6GTHR0TA2MUHVao7oO2Agyllbf8/Tka9lo37Fih2H4bvrKBKSU1C+pAUWDeuFVnX/fV2bnSPOfa34ye3+uZY76mzPP5ex5x/pFh8lzYxxYsVUAICZkT5UVVTgt/cE4pLeQwSgnKU5hnVugT6tGynsyocfJezbAN36baBbryVUtHSRFfsOCQc2I/3h9X8PEokgUlHFty3CJEb836uhU9MDmpWrQ6dmY4gzMpAVE4H43X7IeHa/sB6KQumxZg5Mrf9dZdSlaxu4dG0DAPifdX3EPH8lVDSiYkEk/vyVMim02NhY1KlTB/Pnz0fHjh2FjiMlOTkZDRo0wPDhw9G3b9//fH9Zb2V779C/1j0XZsnr4mSgQbjQERRapnXNgg9SYm9Tcgo+SMkZaqoWfJASe5ucVfBBSkyB2wcpjBK6/Pw5P4aPThV8kBKLPXVc6AgKb9q4fUJHUGh+4nChI3wXRp5ThI7wzeKDFGtGlCLgX0r6z5KTkxEWFoY///wTIpFI4YptRERERERERAAgzuEHlz8SFrXoP7t79y5++eUXWFlZwdvbG0ZGRkJHIiIiIiIiIqIfHItaxYyJiQkePnwodAwptWvXVrhMRERERERERPRjU+xuhERERERERERERHJwpBYRERERERERKQVxTrbQEagQcaQWEREREREREREVOyxqERERERERERFRscOiFhERERERERERFTvsqUVERERERERESoE9tX4sHKlFRERERERERETFDotaRERERERERERU7HD6IREREREREREphRxOP/yhcKQWEREREREREREVOyxqERERERERERFRscOiFhERERERERERFTvsqUVERERERERESkGczZ5aPxKO1CIiIiIiIiIiomKHRS0iIiIiIiIiIip2OP2QiIiIiIiIiJSCOIfTD38kHKlFRERERERERETFDotaRERERERERERU7LCoRURERERERERExQ57ahERERERERGRUmBPrR8LR2oREREREREREVGxw6IWEREREREREREVOyxqERERERERERFRscOeWkRERERERESkFNhT68fCkVpERERERERERAQAOH/+PMaMGQNPT09UrlwZs2bN+uLbZmZmwsfHB/Xr14eTkxN69eqFBw8eyBwXFRWFkSNHwtnZGa6urhg/fjzi4+O/OiuLWkREREREREREBAA4c+YM7t+/j5o1a8LAwOCrbjt//nxs27YNI0aMwOrVq6GmpoY+ffogKipKckxWVhb69++PR48eYeHChZgzZw6uXr2KIUOGQCwWf9XP4/RDIiIiIiIiIlIKnH5YsAkTJmDSpEkAgJCQkC++3bt377B9+3b873//Q9euXQEATk5OaNKkCbZs2YKxY8cCAI4fP44HDx7g4MGDqFixIgDAwsIC3bt3x9mzZ+Hu7v7FP5MjtYiIiIiIiIiICACgovJtpaJz584hOzsbrVu3lmzT09ODh4cHTp8+Ldl2+vRpVK5cWVLQAgBnZ2eUKlVK6rgvyvpNSYmIiIiIiIiIiD4ICwuDmZkZjIyMpLbb2Njg2bNnyMnJkRxnY2Mjc3tbW1uEhYV91c/k9EMiIiIiIiIiIgXXpEmTfPefPHmyiJLIl5iYCH19fZnthoaGyMzMREpKCvT09PI8zsDAgEUt+nGoWVUs+CAl9puV0AmKA2uhAyg0VaEDKLjyOkInoOLORPa1GhEVJpfWBR+jxCx4fgrkN3a50BFIABnXNwod4ZsVVNTKS1JSEiIjIws8rkyZMtDQ0Pimn/GRSCSS2Sav+Xtex8nbnh8WtYiIiIiIiIiIFNy3jsQ6ceKEpPF7fgIDA2Fvb/9NPwPIHWmVmJgosz0xMRHq6urQ0dHJ97ikpKSvXm2RRS0iIiIiIiIioh9Ux44d0bFjx+/+c2xsbBATE4P4+HipvlphYWEoX768pAG9jY0N7t+/L3P7J0+eoHHjxl/1M9konoiIiIiIiIiI/pP69etDRUUFR44ckWx7//49goOD0bBhQ8m2hg0b4tGjR1L9s27cuIHXr19LHfclOFKLiIiIiIiIiIgAAK9fv8bt27cBAKmpqXjx4gWOHj0KAGjRooXkuKZNm6JkyZLYsmULAKBEiRLo1q0bFi9eDDU1NZQsWRIbN+b2MOvdu7fkds2aNUPlypUxYsQIjB49GtnZ2Vi4cCFcXFzQoEGDr8oqEsvr2EVEREREREREREpnz549efbgevjwoeRrDw8PlCpVCgEBAZJtGRkZWLFiBfbu3YukpCQ4OTnhf//7H+zs7KTuJzIyEnPnzsXZs2chEong4eGByZMnw9jY+KuysqhFRERERERERETFDntqERERERERERFRscOiFhERERERERERFTssahERERERERERUbHDohYRERERERERERU7LGoREREREREREVGxw6IWEREREREREREVOyxqERERERERERFRscOiFpEcjx49EjqCQouPjxc6AhVj6enpcHZ2xsmTJ4WOQj+At2/f4tq1a0hJSRE6ChEREREVMTWhAxAporZt26JatWro0qULWrVqBT09PaEjKZQGDRrA09MTnTt3Rr169YSOoxAmTZr0VcfPnz//OyVRfJqamtDR0YG6urrQUYqljIwMaGhoCB1DcDt27ICvry+io6MBALt27YKDgwOGDh2KWrVqoXfv3gInFN7jx4+xevVq3L59GxEREdixYwccHBywdOlSODs7o2HDhkJHFNSIESPQuXNnNGjQACKRSOg49IMIDQ3Fs2fP4OLiggoVKggdhxRYdnY2VFVVhY5BVOyxqEUkx/r167F7927MmTMH8+fPR4sWLdCpUye4uroKHU0hTJkyBXv27EG/fv1QsmRJdOzYER06dECpUqWEjiaYO3fuSH0fFRWF+Ph46OnpwdTUFDExMUhOToaRkRHMzc0FSqk42rdvj127dsHd3V3oKAorMDAQSUlJ6NWrF4DcEaTDhg3Dq1ev4OLigmXLlsHU1FTglMLYvHkzFi9ejN69e8PNzQ0DBgyQ7KtVqxaOHDmi9EWt8+fPY9CgQahSpQpat26NtWvXSvapqanhr7/+UvqiVmRkJAYOHIgSJUqgY8eO6NixI8qUKSN0LCpGxowZAw0NDckHVX/99RdmzpwJANDQ0MDatWtRp04dISMWuTlz5nzV8VOmTPlOSRRfw4YN0b59e3Ts2JEFUKL/QCQWi8VChyBSVImJidi/fz92796N+/fvo1y5cujcuTPat2/PwgSAsLAw7Nq1C/v370dcXBzc3NzQuXNneHp6KvVIkjNnzmDGjBmYPXu21Ei2c+fOYdq0aZg+fbrSv5n09/dHQEAAjI2N0aBBA5iamkqNlBCJROjTp49wARWAl5cXunXrhp49ewIAevXqhdjYWHTv3h0BAQFwdXXF3LlzBU4pDE9PT3Ts2BFDhgxBdnY2HBwcsHv3bjg4OODMmTMYN24cQkJChI4pqI4dO8LW1hYLFy5EVlYWqlatKjlHQUFBmDVrFs6cOSN0TME9ffpU8ncsNjYWNWvWRJcuXdCsWTOl/Ts2ePDgLz5WJBJhzZo13zGNYmvUqBHGjx+PVq1aAQAaN26M+vXrY+LEiZgxYwbevHmDbdu2CZyyaHl4eHzxsSKRSKlbESxZsgT79u1DZGQkatSogS5duqBFixbQ1tYWOhpRscKiFtEXevDgAebOnYvQ0FCoqqqiQYMGklECyi4rKwv//PMP1q9fj5s3b8LAwABt27ZFz549YW1tLXS8Iufl5YV+/fqhffv2Mvv27t2LDRs24ODBg0UfTIHY2dnlu18kEuH+/ftFlEYxOTs7Y/Xq1XBzc0NsbCzq168PPz8/uLu74/Dhw/D29sbp06eFjimIatWqwd/fH3Xq1JEpal28eBGDBg3CrVu3hI4pqGrVqsHPzw/16tWTOUeXL19Gv379cPv2baFjKozs7GycOnUKe/bswZkzZ6CjowMvLy907twZ9vb2QscrUh9Hh34qNDQU9vb20NXVldkXEBBQFLEUkqOjIzZu3AhXV1c8fvwYXl5eOHDgACpWrIgLFy7g999/x5UrV4SOSQosJycHZ8+exe7du3Hq1CloaGigVatW6Ny5M5ycnISOR1QscPohUQE+H61VrVo1NG3aFGfOnMGvv/6KoUOHYtiwYULHFMzHP8aBgYG4c+cOzMzM0LhxYwQHB+Ovv/7CtGnT0LVrV6FjFqnnz5/DyMhI7j5DQ0O8ePGiaAMpoAcPHggdQeGpqKggMzMTABASEgI1NTVJEd3c3BxxcXFCxhNUyZIlcfv2bbnTem7evKmUxfTPGRoaIjIyUu6+8PBwjjb+jKqqqmSESVxcHK5fv449e/bgzz//hIuLC2bPno3y5csLnLJofF6k+jjSb/bs2XBwcBAolWIyMjLC69ev4erqirNnz8Lc3BwVK1YEkFsozcnJETghKToVFRU0bNgQDRs2RFxcHPbt24ddu3Zh165dsLGxQefOndGxY0cYGBgIHZVIYbGoRZSH8+fPY/fu3Th58iQ0NTXh5eWF+fPnS0aYDBw4EJs3b8bq1auVsqgVHh6O3bt3IzAwELGxsWjQoAGWL1+ORo0aQVVVFWKxGIsXL8by5cuVrqhla2sLf39/uLq6Si0ykJycDH9/f9ja2gqYjooLOzs7/Pnnn7C0tERAQADc3Nwk06HevHkDMzMzgRMKp2vXrvD19YWxsTGaNWsG4N8Roxs2bMDIkSOFDagAPD09sXLlSjg5OaFcuXIAckdARkVFYcOGDWjevLnACRXH06dPsXv3buzbtw/x8fFo1KgR1q5diwYNGiAkJASLFi3CuHHjsGvXLqGjCoJN9PPm7u6OxYsX48GDB9i7dy/atWsn2ff48WOULl1awHSKIS4uDtu2bcPVq1eRkJAAQ0NDuLq6okePHjA2NhY6nkKJiorC27dvERMTAw0NDZQoUQIrVqyAr68vvL290aRJE6EjEikkTj8kkqNx48aIiIiAs7MzunTpgpYtW0JTU1PmuDt37qBz585KN+qkR48euH79OqysrNCpUyd07twZJUqUkDnu1q1b6Nq1q9Kdn2vXrqF///5QUVFB7dq1JY3iQ0JCkJ2djfXr18PFxUXomAohPT0dL1++RHp6usw+ZR8RcPXqVQwePBjJycnQ1dXFpk2bUK1aNQDA8OHDoaKiguXLlwucUjhz5szBtm3bIBKJkJOTAxUVFQC5v5+UufHwR0lJSejTpw8ePnyISpUq4d69e7Czs8PLly9Rvnx5bNmyRe5UMmXycTTEzZs3Ubp0aXTp0gUdO3aUKRhfuXIFvXv3xr179wRKKqzPp6/Sv5KSkjBv3jzcuXMHVapUwdSpUyUfZnXv3h0uLi4YO3aswCmF8+LFC/Ts2RNxcXGoUaMGzM3NERUVhevXr8PY2Bjbtm1D2bJlhY4pqOTkZBw8eBC7d+/GnTt3YGtriy5duqBdu3YwNDREcnIyZs+ejStXriA4OFjouEQKiUUtIjkWLFiALl26wMbGRugoCmn48OHo2rUr6tevn+8nuJmZmYiMjFTKVRGjo6OxefNm3Lp1C1FRUTA3N4ejoyN69+7NaT8AMjIyMHPmTOzbtw/Z2dlyj1H2nlpA7ovd8PBwlC1bVmrqwenTp1G2bFmlmQ6Vl5cvX+L8+fOIj4+HoaEh6tSpw6mHn8jMzMT+/ftx4cIFxMXFwdDQEHXr1kW7du2Utgn6pz62E+jSpUu+K9RFRkZi586dSjkqG2BRi77dkCFDEB4ejvXr16NkyZKS7W/fvkX//v1hbW2NVatWCZhQWOPHj8fx48chEonQsmVLdO3aFdWrV5c57ubNm/jpp5+U7kNioi/FohaRHIGBgWjYsKHcYdHx8fH4559/5DYBVxZXrlxBlSpV5H7K//79e9y7dw81a9YUIBkVF0uXLkVgYCDGjRuHsWPHYtq0adDR0cH+/fvx4sULTJ06VelXiCSi7ysuLo7Tn77Ax6LWnj17UKVKFaHjKKSEhAQ8fvwYb9++hbu7OwwNDZGeng51dXXJKFJl5OLigrlz56JFixYy+44cOYIpU6bg6tWrAiRTDB07dkTXrl3Rpk0bqXYVn3v//j3u3r2LWrVqFWE6ouKDPbWI5Jg0aRJ27Ngh98Xuq1evMGnSJKUuav3yyy/YsWMHHB0dZfY9e/YMv/zyC0fZUL6OHj2KYcOGoWXLlhg7diwcHR1RtWpVtG/fHhMnTkRwcDCLWsjtybJ69Wrcvn0bERER2LFjBxwcHLB06VI4Ozsr1Tn62hXEWFingnTu3BmrVq2Suxrro0eP8Ntvv+HkyZMCJBPW4MGD5W6fN2+ezBtvkUiENWvWFEUshZSTk4Nly5YhICAAqampEIlE2LVrFwwNDTFs2DA4OTkp7Qg/IPf8qKnJf7uppqam9I30fX19YW5uDnV1dZl9WVlZiIyMRMmSJaGrq8uCFlE+WNQikiO/AYyJiYlK34ckv/OTmpoKLS2tIkyjGLy8vODj44NKlSrBy8sr32NFIhH2799fRMkUU0REBMqXLw9VVVVoamoiMTFRss/LywujR4/GzJkzBUwovPPnz2PQoEGoUqUKWrdujbVr10r2qamp4a+//lKqolavXr0gEokkv38+nfosFotlpkIrY2Hdzs7uq5p6K+M5+tTr16+RkZEhd19aWhoiIiKKOJFieP/+vcy2j0ViefuU2fLly/HHH39g3LhxqF27Nlq3bi3Z5+Hhgb///lupi1rOzs5YvXo1XF1dpVaFTkhIwJo1a5S+v2iTJk3y/JD4wYMH6NKli9L/nib6EixqEX1w+vRpnD17VvL9xo0bZZrFpqen49KlS7C3ty/qeIK7ceMGrl+/Lvn+wIEDMkPG09PTcfLkSVSoUKGo4wmuatWq0NbWBpDb4JyrReXP3NxcUsgqXbo0QkJCULduXQC5K2sS4OPjg1atWmHhwoXIysqSKmrZ29vj77//FjBd0ft05bmYmBhMmzYNrq6uaNGihWQxhqNHjyI0NBSzZs0SMKlwxo0bJ/ndk5WVhW3btkFVVRUeHh4wMzNDdHQ0Tp48iZycHPz8888CpxVGeno6UlNTJcXR5ORkxMfHyxwTFBQECwsLARIKLyAgQOgIxcbevXsxevRo9OjRQ6Y/ZNmyZfHy5UuBkimGiRMnomfPnmjcuDHc3Nxgbm6O6OhoXLx4ERoaGvD29hY6oqDy+5A4IyODvQ+JvhCLWkQfhIeHS1YVEYlECA0Nlfljoq6ujooVK2L06NFCRBTUuXPn4OvrCyD3/Mh70aumpgYbGxtMnz69qOMJbv78+ZKvFyxYIGCS4qFWrVoIDQ2Fh4cHunTpgoULF+Lp06dQV1dHUFAQ2rRpI3REwT1+/BhjxowBAJkiqYGBAeLi4oSIJZiqVatKvh4xYgRatWqFCRMmSB3TtGlTeHt7Y+fOnUo1iu2jfv36Sb5etGgR7O3tsWrVKqiqqkq2T5o0CUOGDEFsbKwQEQW3bt06SWNqkUgkdc4+p8wjbD4VGxuLLVu24ObNm5KFT5ycnNC7d2+YmJgIHU9Q8fHxeS4qlJOTg6ysrCJOpFgqVqyI/fv3Y9OmTbh69SrCwsJgaGiIn376CX369IGlpaXQEYtcWFgYwsLCJN+HhITIjApNT0/HoUOHUKZMmaKOR1QssahF9EHv3r3Ru3dvALlDxlevXi23z4ayGjZsmOQFvp2dHXbu3Cl3uDTRlxg1apSkKNOnTx8AuX220tPT0atXLwwdOlTAdIrB0NAQkZGRcveFh4cr9SqaZ8+elRTZP1e/fn0WI5A7gmTBggVSBS0AUFVVRY8ePTBx4kSZoqAy8PT0RKlSpSAWizF58mT89ttvKFu2rNQx6urqsLGxUcpR2Z+7efMm+vfvj+zsbLi5ucHZ2RkxMTEICAjAH3/8gY0bN8LJyUnomIKxtrbG+fPn5a6eGRISgooVKwqQSrFYWlpi0qRJQsdQGEeOHJH6kNjHx0fucQYGBpg3b15RRiMqtljUIpLj44gtko9LCudv6dKliIuLkzsFatq0aTA1NcXvv/8uQDLFYW5uLlWU6dOnj6S4Rbk8PT2xcuVKODk5oVy5cgByXwBHRUVhw4YNaN68ucAJhaOrq4uLFy+iXr16MvvOnz+v9H0PgdyeUK9fv5a77/Xr10hPTy/iRIrBzs5O8oGVSCRCw4YNlX60UX5mzpwJW1tb+Pv7Q19fX7I9KSkJAwYMwKxZs7B7924BEwqrT58+mDp1KtTU1CQr/EVERODGjRsICAiQGsVNBOR+iN6hQweIxWJ4enrC19dXpoCurq4Oc3NztrIg+kIsahF9cPz4cbi5ucHAwADHjx8v8PhmzZoVQSrFcffuXdjY2EBLSwt3794t8HgHB4ciSKWYDh48iOHDh8vd5+LiglWrVil9UYsKNmbMGNy+fRtt27ZFpUqVAACTJ0/Gy5cvUb58eaUejdSjRw+sWLECMTExaNKkiaSnVlBQEPbt25fn9adMPD09sXjxYmhpacHT0xP6+vpISkrCiRMnsGTJEnh6egodUXAdOnQQOoLCe/LkCZYvXy5V0AIAfX19DBgwAKNGjRIomWLo2LEjEhISsHLlSknfw6FDh0JbWxsjR45Eq1atBE4orLS0NKxevRrHjh1DRESEzMIMIpEI9+7dEyidMPT19SXX08mTJ2Fubs7eWUT/kUicX4c6IiXy6ZS6gqYdikQipVuN5PPzk9enRx9XIVO28/OpatWqYf369ahdu7bMvpCQEAwYMAC3bt0SIJni8PDwyPM5pKKiAn19fdjZ2aFnz55KXSDNzMzE/v37ceHCBcTFxcHQ0BB169ZFu3btlP5F8B9//AF/f39ERkZKVkU0NzfHwIED0atXL6HjCS45ORmTJ0/GiRMnAOT2PPzY38fT0xPz58+Hnp6ekBEFwZVqv46Xlxf69++Pdu3ayewLDAzEunXrcOjQIQGSKZb379/j+vXrkt/Tzs7OSnl9fW7SpEk4ePAgWrRoAVtbW6irq8sc07dvXwGSCSc+Ph4GBgZQUVGRWaRCnk9XjSQi+ThSi+iDj5+WfPyapG3dulXSDHXr1q0Cp1FsJiYmePz4sdyi1uPHj2FoaChAKsXSqFEjBAcHIykpCbVr15aMtAkJCYGBgQFsbW1x+fJl7N+/H/7+/pKVEZWNuro6OnXqhE6dOgkdReH8/PPP6NGjByIiIiTNqy0tLaGioiJ0NIWgp6eHFStWICwsDLdv30ZkZCQsLCxQrVq1PBtbKwOuVPt1xo0bh1mzZsHKygq1atWSbA8JCYGvry+mTp0qYDrhBQYGomHDhjA2Nkb9+vWl9sXHx+Off/5B+/bthQmnAE6dOoXx48fzg4ZP1KlTBzt27ICjoyPc3NwK/B2kzB8SE30pjtQiIipks2fPxsGDB7Fu3TqpZvq3bt3CoEGD0LJlS0ybNk3AhMLbsGEDTp48CX9/f6lPs5OTkzFw4EA0btwYffr0wcCBA5Gamort27cLmJaISDl5eXkhMjISiYmJ0NfXh7GxMeLi4pCUlAQDAwNYWFhIjlXGkW329vaSAsXn7ty5gy5duih1UaJevXrw9vaWKfgps71796JRo0YwNjbGnj17CixqcZo0UcE4UouIqJCNHDkS165dw08//QQbGxtYWFggMjISYWFhsLe3V/oeJEDuaL8ZM2bITM/Q09ND//79MWPGDAwYMADdu3dXqhXa8pvaK48yvVnatGkTvLy8YGZmhk2bNuV7rEgkUsqFB9j7sHBkZGQo/fTejxwcHFC1alWhYyis/MYGJCYmKv2iFd26dcO+fftY1PrEp0Wqjh07CpiE6MfBohbRB3wzmb/8eiDJo8xTOPX19bFjxw4EBgbi0qVLiI+PR6VKldC7d2/2QvogPj4eycnJcvclJSUhMTERAJRuqua4ceMk11lWVha2bdsGVVVVeHh4wMzMDNHR0Th58iRycnLw888/C5y2aHl7e8PFxQVmZmbw9vbO91hlLWp16tRJ0vuwU6dO7H1YgMDAQCQlJUmmRj169AjDhg3Dq1ev4OLigmXLlsHU1FTglMJasGCB0BEUzunTp3H27FnJ9xs3boSZmZnUMenp6bh06ZLMqnbK4NMPHXR0dHD16lX89NNPqFu3LgwMDKSOVdbf1URUuFjUIvqAbybz16hRI6k3SEFBQUhMTISbm5vk/Fy6dAmGhoZcVQuAhoYGunbtiq5duwodRSG5ubnBx8cHpUqVgrOzs2R7aGgolixZAjc3NwDAs2fPULp0aaFiFrl+/fpJvl60aBHs7e2xatUqqKqqSrZPmjQJQ4YMQWxsrBARBfPgwQO5X9O/2Pvw62zYsAHdunWTfD979myoq6tj8uTJCAgIwJIlSzB37lwBE5IiCg8PR3BwMIDcokxoaKjMh1Xq6uqoWLEiRo8eLUREQcn70OHNmze4efOmzHZlLGoNHjz4i48ViURYs2bNd0xD9GNgTy0iORYtWoSwsDCZN5PZ2dkYMmQIKlSooFRToj63YcMGHD9+HOvWrZP61C0hIQEDBw6Ep6cnBgwYIGBCUnTv3r3Db7/9hvv378PAwEDSpyUxMRH29vZYs2YNSpQogZ07d0JTU1Puyls/urp162LBggVwd3eX2Xf69GlMnDgRFy9eFCAZ0Y/B2dkZq1evhpubG2JjY1G/fn34+fnB3d0dhw8fhre3N06fPi10TFJgHh4eWL16dYGrZhN99LVN8wMCAr5TEqIfB0dqEcmxd+9eLFiwQKqgBQCqqqro0aMHJk6cqNRFra1bt2L69Okyw8gNDQ0xcOBAzJw5U+mLWvv27cP27dsRHh6O9PR0mf3Xrl0TIJXiKFGiBPbs2YPTp0/j9u3bktXrqlWrhoYNG0qOU+aRbmlpaXj9+rXcfa9fv5b7vFIWixcvxu+//y53efjY2FhMmTIFq1evFiCZ4jh9+rTUtfS5zZs3K90Iic+pqKggMzMTQO5qfmpqapJRoubm5oiLixMyHhUDH0dsEX0pFqmICh+LWkRy8M1k/hISEpCUlCR336f9kJTVvn37MGXKFHTo0AHXr19Hp06dkJOTg+DgYBgYGCjlqKO8NGzYMN833srM09MTixcvhpaWFjw9PaGvr4+kpCScOHECS5YsUeppvn/++SfOnTuHhQsXolKlSpLtQUFBmDp1qtI3ZwaAQYMGoVu3bpgwYQK0tbUl29+8eYMJEybgxo0bSl/UsrOzw59//glLS0sEBATAzc1NMo3szZs3Mn2SiPLy/PnzPD/EatasmQCJFEdcXBy2bduGq1evIiEhAYaGhnB1dUWPHj1gbGwsdDwi+gGwqEUkB99M5s/NzQ2LFy+GlZUVatWqJdkeEhICHx8fySfdymrTpk0YMmQIBg4ciJ07d6JHjx5wcHBAcnIy+vXrxzfcyH3DWJCSJUsWQRLFNW3aNKSlpWHy5MmYPHky1NTUkJWVBSD3d9S0adMETiicffv2YcKECejcuTNGjhyJzp07Y+7cudi3bx86deqEyZMnCx1RcMuWLcOMGTNw8eJFLFy4EE5OTtizZw/mzp0LKysr7NixQ+iIghs1ahQGDx6Mtm3bQldXV6rBdVBQEKpVqyZgOioOkpOTMWzYMISEhAD4dzXET3uQKvOCDC9evEDPnj0RFxeHGjVqwNraGlFRUVizZg22b9+Obdu2oWzZskLHFByLokT/DXtqEcmRnJyMyZMn48SJEwAg82Zy/vz50NPTEzKioCIjI/Hbb7/h3r170NfXl/RDSkpKkuqHpKxq1KgBPz8/1K5dGw4ODti4cSNq164NIPeN0rx585R+ysKXrDaqzG8EPhUWFobbt28jMjISFhYWqFatmqQZuDITi8VYt24dVq5cCRUVFejr62PWrFnw8PAQOprCiIyMxP/+9z9cvHgRVapUwZ07d/DLL79g9OjRXIX1g+TkZISHh6Ns2bJSU+pPnz6NsmXLonz58gKmI0U3ffp0hIaGYvbs2ejRowd8fX1haGiI/fv349KlS/Dx8YGjo6PQMQUzZMgQhIeHY/369VIfVL19+xb9+/eHtbU1Vq1aJWBCYbEoSlQ4OFKLSA49PT2sWLGCbybzYGFhgd27d+PMmTO4deuWpB+So6Oj3KbWykZPTw8ZGRkAcntHPXnyRFLUys7OZp8WAMuXL5fZlpCQgHPnzuHOnTsYOXJk0YdSUDY2Nvy9I0dmZiZiY2ORlZUFHR0dqKmpQUtLS+hYCsXCwgLdunVDSEgIbt26BXt7e/Tv358FrU/o6emhatWqMts5LZq+xNmzZzFq1Cg4OTkByL3mHB0dUbNmTXh7e2PTpk1YunSpwCmFExISgrlz58qMvLayssKwYcMwZcoUgZIphkWLFiEqKgrbtm3LsyhKRAVjUYsoH3wzmT93d3cWseSoWrUqHj58iAYNGsDDwwOrVq2CWCyGmpoa/P39JS9+lVnz5s3lbu/atSvmzZuHa9euoW3btkWcSnh3796FjY0NtLS0cPfu3QKPd3BwKIJUiufBgwcYO3YsIiMj4e3tjcaNG2PGjBno168funfvjvHjxyt9gSslJQXz5s3D7t270alTJ7Ru3RozZsxAmzZtMGPGDLRo0ULoiAohLCwMJ06cQEREhMzUH5FIhHnz5gmUjIqD2NhYWFlZQVVVFdra2oiPj5fsc3d3x/Dhw4ULpwBycnKgpib/7aaamhpycnKKOJFiYVGUqHCwqEX0Ad9M5i8+Ph4GBgZQUVGRetGWFyMjo++eSVENGjRI0jNqxIgReP36NebPn4/s7GxUq1YNs2fPFjihYmvUqBFGjhyJGTNmCB2lyHXq1Ak7d+6Eo6MjOnXqlOcUTbFYDJFIpLTTEjp37oyaNWti/fr1sLS0BAD4+PigSZMmmDlzJs6fP49jx44JnFJYbdu2RVpaGlatWiWZkrlv3z4sWLAAI0eORJs2bbB48WKBUworMDAQkydPhrq6OiwtLTmCjb6apaWlZPS1tbU1goODJR/2Xbt2DZqamkLGE5yzszNWr14NV1dXqdeFCQkJWLNmDVxcXIQLpwBYFCUqHCxqEX3AN5P5q1OnDnbs2AFHR0e4ubmxH1I+qlevjurVqwMADAwMsGbNGmRkZCAjI0Ope7F9qWvXrintm8utW7dKRodu3bpV4DSKa9y4cejdu7fM9latWsHV1RX/+9//BEilWOzs7DBr1iyYmJhItmlpaWHGjBlo0qQJzxGANWvWSPpkcgEP+hb16tXDhQsX0LRpU/Tu3RsTJ07ErVu3oK6ujlu3buHXX38VOqKgJk6ciJ49e6Jx48Zwc3ODubk5oqOjcfHiRWhoaMDb21voiIJiUZSocLBRPNEHly9fhoODA3R1dXH58uUCj/901T9lsHfvXjRq1AjGxsbYs2dPgUWtDh06FFEyKo7mzJkjsy0jIwNPnz7F1atX0bdvX4wbN06AZIohKysLDx48gJWVFUxNTYWOo9DevXuH+Ph4GBkZKfUCFV8rMTFRqjG6MqpRowZWr16NOnXqCB2FiqnU1FSkpqZKiscnTpzA0aNHkZ6ejrp166Jbt25QUVEROKWwIiIisGnTJly9ehWJiYkwNDSEi4sL+vTpIxlpq6xmz56NnJwcTJ8+HYGBgZg4cSKqVKkiVRQdP3680DGJFB6LWkREVOTkrVCnqakJS0tLNG/eHF26dIGqqqoAyRRDTk4OHB0d4e/vj7p16wodRyHt378fy5cvl0z1BYCSJUti5MiR8PLyEjCZ4nj27Bn8/f1x9epVJCQkwNDQEK6urhgwYABX9QMwYMAA1K9fX+6oPyKi741FUaLCwaIWkRxv375FbGys3L5Zd+/ehampqVJ/upScnIyUlBRYWFjI7IuMjISuri6nchD9Ry1atMDIkSPZ0FuOgwcPYuzYsahXrx7atGkDMzMzREdH49ChQzh//jwWL16M1q1bCx1TUHfu3EGvXr2goaEBDw8PyTk6deoU0tPT8ccffyhdb8jP3bt3D+PHj8fPP/+MevXqQV9fX+YYZe4PSV8nJiZGZrEBADIr/ykTvp4moqLAohaRHIMGDUK5cuUwefJkmX3e3t4IDw/HmjVrBEimGEaOHAldXV3MnTtXZt/UqVORkpLCZYjpm2RkZChtP63PBQYGYtOmTVi3bp3cArIy8/LyQrVq1eSuTDd58mTcvn0bBw4cECCZ4ujduzcyMjKwYcMG6OjoSLanpKSgX79+0NTUxObNm4ULqADs7OwkX+c1pV6Z+0NSweLi4jBnzhwcP34cWVlZUvuUtQfrp/h6moiKAhvFE8lx8+ZN/PTTT3L31a5dG4GBgUUbSMGEhoZi+vTpcvc1bNgQM2fOLOJEVNwEBgYiKSkJvXr1AgA8evQIw4YNw6tXr+Di4oJly5YpfS+po0ePIiYmBp6enqhcubLM+RCJREr7ZiA8PBwTJ06Uu69Vq1ZKX9ACcv+OLVmyRKqgBQA6Ojro378/xo4dK1AyxTFv3rwC+0MS5WfKlCm4fPky+vXrB1tbW6irqwsdSaHw9XT+7OzsuPASUSFgUYtIjpSUFKipyb88RCIR3r9/X8SJFEtCQkKe0ws/X5JYGXF6ZsE2bNiAbt26Sb6fPXs21NXVMXnyZAQEBGDJkiVyRwIqk/fv30v1PVL23zufMjY2xuPHj1GvXj2ZfU+ePIGxsbEAqRSLuro6UlNT5e5LTU3N82+cMunYsaPQEaiYCwkJwZQpU9C+fXuhoygkvp7O37hx42SKWgkJCTh//jxiYmLw888/C5SMqHjhKxoiOWxsbBAUFCRZVvdTJ0+eVPoGu2XKlMGFCxfkNrC+ePEiSpUqJUAqxTFlypQ8p2euXLmS0zMBvH79GjY2NgCA2NhYXL16FX5+fnB3d4eJiYnSL/MNAAEBAUJHUFitWrXCsmXLoKWlhZYtW8LQ0BCJiYk4cuQIli9fLlUwVVZ16tTBkiVLYGdnJ7nWACAsLAzLly+XWxBUVgkJCXj8+DHevn0Ld3d3GBoaIj09Herq6mzSTPkyMDBgET0ffD2dv379+sndPmrUKIwdOxbJyclFnIioeGJRi0iO3r17Y+LEiVBRUUGnTp1gYWGByMhI7NmzB3///bfcPi7KpEuXLvDx8YGhoSE6deoEExMTxMbGYs+ePdi8eTNGjx4tdERBcXpmwVRUVJCZmQkg95NuNTU1uLm5AQDMzc0RFxcnZDyFIxaL8f79e+jq6nK6FIDRo0fj9evXmDFjBmbOnAlVVVVkZ2dDLBajWbNmGDVqlNARBTdp0iT07NkTXl5esLW1hbm5OaKjo/H48WNYWVnlOX1TmWRnZ2P58uUICAhAamoqRCIRdu3aBUNDQwwbNgxOTk4YNmyY0DFJgfXr1w8BAQGoV68eRz/KwdfT3659+/aYMGECfv/9d6GjECk8/vYlkqN9+/aIjo7GqlWrsGPHDsl2LS0tjBkzBh06dBAwnfD69OmDFy9eYMmSJViyZInkDSUAdOvWDX379hU4obA4PbNgdnZ2+PPPP2FpaYmAgAC4ublJGsS/efMGZmZmAidUDJcvX4avry+uX7+OrKwsqKmpwdnZGcOHD4erq6vQ8QSjoaGBlStX4uHDhwgNDUViYiIMDQ3h4uKCypUrCx1PIVhZWeHAgQPYvXs3rl69isTERJQvXx6dO3dGx44dlX4KNACsWLECf/zxB8aNG4fatWtLrZjp4eGBv//+m0UtkjFnzhyp78PCwtC0aVPUrFkTBgYGMsdPmTKlqKIpHL6e/nbh4eGS19ZElD+ufkiUj+TkZFy/fh3x8fEwMjJCjRo1oKenJ3QshREeHo5Lly5Jzo+bmxusra2FjiW4Vq1awcPDQ24j5sWLFyMoKAhHjx4VIJniuHr1KgYPHozk5GTo6upi06ZNqFatGgBg+PDhUFFRwfLlywVOKazz589j4MCBsLa2RsuWLWFmZoaoqCgcO3YM4eHh8Pf3lzsFmIi+jLu7OwYOHIiff/4Z2dnZcHBwwO7du+Hg4IDz589j5MiRuHLlitAxScF4eHh88bEikQgnT578jmmKB76elm/Tpk0y2zIzMxEWFoajR4+iTZs2St9flOhLcKQWUT709PTQoEEDoWMoLGtraxax5OD0zIK5uLjg1KlTCA8PR9myZaU+3e7cuTPKli0rYDrFsGzZMri7u2P16tVSUw6HDRuGIUOGYNmyZUpV1Lp79y5sbGygpaWFu3fvFni8g4NDEaSi4iw+Pl6q39incnJykJWVVcSJqDgIDg4WOkKxw9fT8snrH6qhoQFLS0v88ssvGDJkiACpiIofFrWI8vH8+XOEh4cjPT1dZl+zZs0ESKRY0tPT8fLlS7nnR5nfUHJ65pfR09ND1apVZbY3bNhQgDSK59GjRxg+fLhMDy2RSITu3btj+PDhAiUTRqdOnbBz5044OjqiU6dOefYWE4vFEIlESrkMurOzM7Zu3YqqVauiRo0a+fZfE4lEuHr1ahGmUzzW1tY4f/486tSpI7MvJCQEFStWFCAVUfF2/PjxrzpemV9PP3jwQOgIRD8EFrWI5EhOTsawYcMQEhICIPdNEgCpNwjK+Ibpo4yMDMycORP79u3Lc76/Mp8fkUiE6dOno3fv3pyeSd9MR0cH7969k7vv3bt30NHRKeJEwtq6datkVM3WrVsFTqOY+vbtC3Nzc8nXXFQgf3369MHUqVOhpqaGFi1aAAAiIiJw48YNBAQEYP78+QInpOIgNjYWW7Zswc2bNxEVFQVzc3M4OTmhd+/eMDExETpekRsxYsQXH6usH0B8FBgY+FXHt2/f/rvkICru2FOLSI7p06cjNDQUs2fPRo8ePeDr6wtDQ0Ps378fly5dgo+PDxwdHYWOKZilS5ciMDAQ48aNw9ixYzFt2jTo6Ohg//79ePHiBaZOncrRNkT/0f/+9z+cPHkSixYtkpq2ce7cOYwfPx4eHh4yDYuJ6Ots2rQJK1euRGpqquQDLG1tbYwYMQK//vqrwOlI0d28eRP9+/dHdnY23NzcYGpqipiYGFy6dAkikQgbN26Ek5OT0DGL1OvXr7/q+FKlSn2nJIrPzs5O8uHDp2/J89qmzAVAovywqEUkh4eHB0aNGoVWrVrBwcFBMuUFyJ3/HhERgaVLlwqcUjjNmzdH//790bFjRzg4OGDXrl2SaWQTJ06EpqYmZs6cKXDKosV+P1TYEhIS0L9/f9y+fRt6enqSN0vv379HtWrVsH79erkrbRHR13n//j2uX7+OuLg4GBoawtnZmU2s6Yt07NgRmpqa8Pf3h76+vmR7UlISBgwYgMzMTOzevVvAhKTIbt68iVGjRsHLywvNmzeX/J0/evQoDh48iKVLl0r1GDU2NhYwLZHi4vRDIjliY2NhZWUFVVVVaGtrIz4+XrLP3d1d6XrZfC4iIgLly5eHqqoqNDU1kZiYKNnn5eWF0aNHK11Ri/1+qLAZGhpix44dOHXqFK5evYrExEQYGhrCxcUFjRo1goqKitARi5SHh8dXTadTxhXHJk2a9FXHK+P0uoKm+8TGxiIoKEjyPaf7UH6ePHmC5cuXSxW0AEBfXx8DBgzAqFGjBEqmOPbt24ft27fn2aP22rVrAqRSDMuWLcNPP/2EQYMGSbaVKFECVapUgY6ODpYsWYItW7YImJCoeGBRi0gOS0tLxMXFAchtJBscHAx3d3cAuX98NTU1hYwnOHNzc0khq3Tp0ggJCZGswhYeHi5gMuGw3w99DyoqKmjSpAmaNGkidBTBNWrUSKqoFRQUhMTERLi5ucHMzAzR0dG4dOkSDA0N4enpKWBS4dy5c0fq+6ioKMTHx0uN9EtOToaRkZGk95aymThxotT3+U39AVjUovyVK1dO6oO9TyUlJaFMmTJFnEix7Nu3D1OmTEGHDh1w/fp1dOrUCTk5OQgODoaBgQHatWsndERBXb9+Hf3795e7r2rVqvDz8yviRETFE4taRHLUq1cPFy5cQNOmTdG7d29MnDgRt27dgrq6Om7duqX0fTZq1aqF0NBQeHh4oEuXLli4cCGePn0KdXV1BAUFoU2bNkJHLHK1atUCAGRlZUFHRwdWVlYwNTUVOJVi+dr+T1OmTPlOSRTXp6NCv4SRkdF3yaGIpk2bJvl6w4YNsLS0xIEDB6SmYCYkJGDgwIEoUaKEEBEFd+DAAcnXZ86cwYwZM+Dj44N69epJtp87dw7Tpk3D2LFjhYgouIsXL0q+fvHiRYFTf4jyM27cOMyaNQtWVlaS1wFA7uqZvr6+mDp1qoDphLdp0yYMGTIEAwcOxM6dO9GjRw84ODggOTkZ/fr1g66urtARBWViYoLDhw9L/Y7+6NChQ0q50ADRt2BPLSI5UlNTkZqaKvljcuLECRw9ehTp6emoW7cuunXrpnRTfz4VFRWFuLg4VKpUCQCwefNmqfMzdOhQpVuZ7aOcnBw4OjrC399fMnqNcnl4eHzxsSKRSCmnj33aNPZLKOs01oYNG2L69Olyn1MnT57EzJkzcebMGQGSKQ4vLy/069dP7kijvXv3YsOGDTh48GDRB1Mgv/76K9zc3KSm/nzk5+eHixcvcuoP5cvLywuRkZFITEyEvr4+jI2NERcXh6SkJBgYGMDCwkJyrEgkwv79+wVMW/Rq1KgBPz8/1K5dGw4ODti4cSNq164NIHe07bx58xAcHCxwSuHs3LkT06ZNQ82aNeHp6SkprAcFBeHKlSuYNWsWunbtKnRMIoXHkVpEcmhra0NbW1vyfdOmTdG0aVMBEykWc3Nzqakrffr0QZ8+fYQLpEBUVFRQunTpPKcjKDNlfuH6pebNm/dVRS1llZCQgKSkJLn7kpKSeP0BeP78eZ4j+QwNDfHixYuiDaSAOPWH/isHBwfJQjkkS09PDxkZGQBye0U9efJEUtTKzs6WtPpQVl27doW5uTn8/PywaNEiZGVlQU1NDVWqVMHq1au/6sNAImXGohYRUSEbPHgw1qxZA2dnZ6lPaYkK0rFjR6EjFAtubm5YvHix3Ck/Pj4+cHNzEzCdYrC1tYW/vz9cXV2lVvJLTk6Gv78/bG1tBUynGDj1h/6rBQsWCB1BoVWtWhUPHz5EgwYN4OHhgVWrVkEsFkNNTQ3+/v5wcnISOqLgGjdujMaNGyMnJwexsbEwMTFR6tkgRN+C0w+JiArZ4MGDcefOHSQmJqJy5coyvbVEIhHWrFkjUDrFkp6ejpcvX8pdEcnBwUGARFQcREZG4rfffsO9e/dkpvzY29tjzZo1SttX66Nr166hf//+UFFRQe3atSXTWkJCQpCdnY3169fDxcVF6JiC4tQfou/rxo0bePPmDVq1aoXExERMmDABZ86cQXZ2NqpVq4YlS5YofTN9IvrvWNQiIipkvXr1KvCYgICAIkiiuDIyMjBz5kzs27cP2dnZco9R1n5RH+Xk5ODvv//GsWPHEBERIVP4E4lECAoKEiidYjhz5gxu3bqFqKgomJubw9HRUbJSLQHR0dHYvHmzzDnq3bu30q5++LlTp07Bz88Pd+/elZr6M3jwYE79Ibm46Ml/k5GRgYyMDKkRpERE/wWLWkREVOSWLl2KwMBAjBs3DmPHjsW0adOgo6OD/fv348WLF5g6dSoaNmwodExBeXt7Y9OmTXB2doatrS3U1dVljlH2lbWICgun/tCX4qInRESKhUUtIqJC5uvriy5dusid/hQZGYmdO3di2LBhAiRTHM2bN0f//v3RsWNHODg4YNeuXZJmuxMnToSmpiZmzpwpcEph1a9fH926dVP65woRERERUV74URTRB2/evPmqfwSEhYUhMDAQfn5+iIqKApC74lZycrLAyYS1atUqvHv3Tu6+yMhIrFq1qogTKZ6IiAiUL18eqqqq0NTUlFqtzsvLC0ePHhUwnWLIyMhQ+p5HRERERET54eqHRB94eHhAJBJ98fHK3O8nNTUVU6ZMwZEjRwAAYrEYDRo0gLm5OXx8fFC6dGmMHz9e4JTCyW8AbFRUFAwMDIowjWIyNzeXFLJKly6NkJAQ1K1bFwAQHh4uYDLF4eXlheDgYNSpU0foKEREJMeVK1cKPKZmzZpFkISISHmxqEX0wfLlyyVfp6amYunSpShZsiSaN28OU1NTREdH49ixY3j79i1GjRolYFLheXt749KlS/Dz84OrqyucnZ0l+xo2bIjNmzcrXVHr4MGDOHjwIIDcHhre3t7Q19eXOiYjIwN37tyROl/KqlatWggNDYWHhwe6dOmChQsX4unTp1BXV0dQUBDatGkjdERBHD9+XPJ19erVsXTpUsTExKBu3bpyi6HNmjUrynhERPSJXr16QSQSSX2Y9fkHpMr8ISgRUVFgUYvog+bNm0u+/t///oe6deti/vz5Usf8+uuvmDhxIkJCQtC+ffsiTqg4jh07hvHjx8Pd3V1m5bpSpUrh9evXAiUTTmZmJt6/fw8gd6RWamqqTLNhDQ0NtGvXDv379xciokIZNWoU4uLiAAB9+vQBABw9ehTp6eno1asXhg4dKmA64YwYMUJm25s3b3D48GGZ7SKRSCnfLKWnp2PhwoVo164dHB0dhY6jkDIyMnDq1CnY29ujbNmyQsch+mHt2rVLZltCQgLOnTuHoKAgpe8NSURUFFjUIpLj2LFjUiO3PtWmTRuMGjVKpuClTFJSUvJcDj41NbWI0yiGDh06oEOHDgByP7mdMWMGbGxsBE6luMzNzaWeQ3369JEUt5QZV8kqmKamJvbs2SP1QQRJ09DQwNixY7F+/XoWtYi+o48LnHyuXr160NXVxa5duyRT64mI6Ptgo3giOVRVVXHv3j25++7du6f0y31XrlxZaprUp/755588X+Qpi4CAABa06JuUKlVK8u/Fixe4dOmS1LaP/0JCQvDy5Uuh4wqmRo0auHnzptAxFFqFChXw9u1boWMQKS0XFxf8888/QscgIvrhcaQWkRxt27bFihUrkJ6eDk9PT5iYmCA2NhYnTpyAv78/unXrJnREQQ0ZMgRDhgxBamoqWrRoAZFIhFu3buHgwYPYvXs31q1bJ3TEIrdp0yZ4eXnBzMwMmzZtyvdYkUik9KOSvmRhBmUftbRs2TI0adJE7r7Y2Fjs3LkT27dvL+JUimHEiBEYN24c1NTU4O7uDhMTE5nnk5GRkTDhFMTo0aMxb9482NraKv0HDURCCAoKUvrfQ0RERUEkzm+ZLiIllZWVBR8fH/z1119IT0+XbNfU1ES3bt0wZswYqKurC5hQeEePHsXChQvx5s0byTZLS0tMnDgRLVq0EDCZMOzs7LBz5044OjrCzs4u32OVtRfSp2bNmiVThIiPj8fVq1chEonQpEkTTJkyRaB0isHZ2Rm+vr5yp65cvHgRw4cPR2hoqADJhPfpNZZXcVTZrzEvLy9ERkYiMTERxsbGMDU1ldovEomwf/9+gdIR/RgGDx4ssy0zMxPPnj3D27dvMW7cOPTt21eAZEREyoMjtYjkUFNTw4QJEzB48GA8fPgQ0dHRMDc3R6VKlWBoaCh0PIXQokULtGjRAs+ePUNcXBwMDQ2VesrdgwcP5H5N8k2bNk3u9oyMDPz222+wtrYu2kAKSCQSISkpSe6+hIQEmUUalMm8efMKHOmn7BwcHDhCi+g7+7hAzKc0NTVRt25dNG/eHA0aNBAgFRGRcuFILSIiUiinT5/G9OnTlb4XSd++fZGVlYUtW7ZIFXDEYjF69+4NFRUVbN68WbiAREQkIzU1FZGRkShbtiyL70RERYAjtYjyEBsbi40bN+L27duIiIiAr68vKlasiC1btsDJyQnVq1cXOmKRKqhP1KeUvWfUxYsX8ebNG3Tq1Elm3549e1CyZEm4ubkJkKx4iIuLk/vpt7IZPnw4fvnlF7Rt2xYdOnSAubk5IiMjERgYiPDwcAQEBAgdkYhIqW3YsAGpqakYNmwYACA0NBS//fYbkpOTUbp0aWzYsIErkBIRfWcsahHJcffuXfTp0we6urpwcXHB5cuXkZGRAQB49+4dNm/ejGXLlgkbsoh5e3t/8bHKXtRig++CyVs9MzMzE2FhYdi2bRuLfshd4W/z5s1YtGgRFi9ejJycHKioqKB69erYvHmz0hXWP8WFBgo2adKkAo+ZP39+ESQh+nH9/fff6Nevn+T7j4szDBw4EGvWrMGSJUuU7vUiEVFRY1GLSI758+ejevXqWL16NUQiEQ4dOiTZ5+TkhCNHjgiYThjsE/XlHj9+jN9//13uPgcHB/j5+RVxIsUzYsQIudvV1dXRtGlTpW8S/5GLiwu2b9+OtLQ0JCQkwMDAANra2kLHElyjRo0KXGhA2d25c0dmW3x8PKKjo2FkZAQzMzMBUhH9WCIiIlCuXDkAuR963rt3D3/88QdcXV2RnZ2NGTNmCBuQiEgJsKhFJMft27excuVKqKuryzRjNjExQUxMjEDJqDhgg++CyRtFo6mpCVNTU/YgkUNLSwtaWlpCx1AYXGigYAcOHJC7/dGjRxg3bhwmT55cxImIfjyamppITk4GkNt6QEdHBzVq1AAA6Ovr5/lagIiICg+LWkRyaGtrS16kfO7NmzcwMjIq2kAKID4+HgYGBlBRUUF8fHyBxyvjOfrIyckJ27ZtQ7NmzWQafP/5559wcnISMJ1iKFWqlNAR6AekoaGBX375BdOnT8fPP/8sdByFVKlSJQwYMADz5s3Dvn37hI5DVKw5OjrC398fKioq2LBhA9zd3aGqqgoAePHiBUqUKCFwQiKiHx+LWkRy1K9fH2vWrEGdOnVgYGAAIHf0TVpaGrZu3YqGDRsKnLDo1alTBzt27ICjoyPc3NwKHE1z//79IkqmeNjgW74rV6581fE1a9b8TknoR8aFBgqmr6+PFy9eCB2DqNibMGECBg8ejMGDB6NkyZIYOXKkZN+RI0cko7aIiOj7EYnFYrHQIYgUzbt379C9e3ckJyejdu3aCAoKQoMGDfDkyROIRCLs3LkTpqamQscsUnv37kWjRo1gbGyMPXv2FFjU6tChQxElU0xXr17FokWLcOvWLakG32PGjIGLi4vQ8QRhZ2cHkUiEj392Ph/F9vlzSpkLo5S/ghYaqFWrFlauXClAMsUhb0Ttx3M0f/58aGpqYufOnUUfjOgHFBcXB2NjY6ltDx8+hLm5OUxMTARKRUSkHFjUIspDYmIiNm/ejAsXLiAuLg6GhoaoU6cOfv31V6WeWkdfhw2+//Vp4+qYmBhMmzYNrq6uaNGiBUxNTRETE4OjR48iNDQUs2bNUsoRkfRl7Ozs5G7/dKEBZX8j+bGI/DmxWAwrKyusWrUKVapUESAZERERUeFhUYtIDnmjRj6VnJwMPT29IkykWD72rLGxsZHZ9+zZM0yfPh1bt24VIBkVFyNGjECpUqUwYcIEmX3e3t548eIFVq1aJUAyKg5ev34ts40LDUjbu3evzDZNTU2UKFECTk5OUFNjBwoiIiIq/lSEDkCkiLp3746XL1/K3Xfx4kV4eXkVcSLFcvny5Tx71iQnJyM0NLSIE1Fxc/bsWdSvX1/uvvr16+PChQtFnIgUXa1atXD37l0AgK+vL3JyclCqVCnJPzMzM6UvaA0bNgzPnz8HkDu9t1GjRujQoYPkX6tWreDi4sKCFhEREf0wWNQikiMtLQ3t2rWT6jeSkZGBuXPnom/fvqhWrZqA6RTb9evXlX7aDxVMV1cXFy9elLvv/Pnz0NXVLeJEpOhSU1ORnp4OIHcUUlxcnMCJFE9wcLCkl9akSZPy/HCGiIiI6EfBj+qI5Ni1axdWrFiBmTNnIjg4GD169MD8+fMRHR2NBQsWoF27dkJHLHJr167F2rVrAeSOAOjdu7fMqIiMjAxkZ2ejR48eQkSkYqRHjx5YsWIFYmJi0KRJE0lPraCgIOzbtw/Dhw8XOiIpmPLly8Pf3x/NmjUDAJw+fRpPnz7N8/j27dsXUTLFUaJECQQHB8PU1BRisRhRUVF48+ZNnseXLFmyCNMRERERFT721CLKR2hoKPr27YvMzExUrlwZa9euRYkSJYSOJYjLly/j8uXLEIvFWLVqFTp37gxLS0upY9TV1WFjY4PGjRtDVVVVoKRUXPzxxx/w9/dHZGSkZFVEc3NzDBw4EL169RI6HimY8+fPY8KECYiOjpZaRVMekUiklKtnbt68GQsWLChwGubHvpHKeI6IiIjox8KiFlEewsPDMX78eDx69AhVq1bF9evXMWDAAAwbNkzp+5H4+vqiS5cuSlvgo8KTk5ODiIgIREVFwdzcHJaWllBR4cx4yltiYiJq1aqFDRs25Lt6n7GxcRGmUhxPnz7F06dPMWzYMIwePRrlypXL89jmzZsXYTIiIiKiwseiFpEc27Ztw6JFi1CxYkUsXLgQ5cuXx86dO7FgwQJYW1vD29sbFStWFDomEZFS2rt3Lxo1aqS0hasvMWnSJAwZMgRlypQROgoRERHRd8OiFpEcVatWxeDBg/Hbb79JTaN7+fIlJkyYgDt37uDWrVsCJhTe8+fPsWfPHoSHh0uaN3/Kz89PgFSkyDZt2gQvLy+YmZlh06ZN+R4rEonQp0+foglGRERERETFEotaRHLcuXMHVatWlbtPLBZj3bp1GDhwYBGnUhy3bt1Cr169ULJkSYSHh6Ny5cpISkrC69evYWlpibJly2Lr1q1CxyQFY2dnh507d8LR0RF2dnb5Hst+P/Q5Ly+vLz5WJBJh//793zGNYpozZ85XHT9lypTvlISIiIioaLCoRURf7WNBa968eXBwcMDu3bvh4OCAa9euYezYsZg5cyYaNGggdEwi+oFMnDixwAbon5o/f/53TKOYPDw8vvhYkUiEkydPfsc0RERERN8fi1pEHxw/fhxubm4wMDDA8ePH8z1WJBKhadOmRZRM8dSqVQs+Pj6oX78+7O3t8eeff8LZ2RkAsHv3bgQEBCAwMFDYkERERERERPRDU+4l3Ig+MWLECMnUqBEjRuR7rLJPjRKJRFBXV4dIJIKpqSnevHkjKWpZWloiPDxc2ICk8F6/fo3k5GRUrlwZAJCeno6NGzciLCwMdevWRceOHQVOSEREREREio5FLaIPTp48CQsLC8nXlDcbGxu8fPkSbm5uqF69OjZu3IhKlSpBTU0N/v7+XG2LCjR16lTY2dlh/PjxAIDFixfjr7/+QqVKlXD06FGkpqaiZ8+eAqckReXr61vgMcOGDSuCJIrrypUrBR5Ts2bNIkhCRERE9P1w+iHRB8OGDcO4ceNQrlw5BAYGomHDhlwuPg+BgYF48+YNhgwZgrCwMPTt2xeRkZEAAG1tbaxYsQL169cXOCUpsrp162LOnDnw8PBAVlYW6tSpg6FDh6JPnz7w8/PDoUOHcODAAaFjkoKqUaOGzLa0tDSIxWJoaGhATU0N165dEyCZ4rCzs4NIJMKnL/M+70mmzCOOiYiI6MfAkVpEHwQHB2PAgAEoV64cJk2ahB07drColYf27dtLvraxscHhw4dx48YNpKWloXr16jA1NRUuHBULycnJ0NfXBwDcvHkTycnJaNWqFQDAxcUFfn5+QsYjBXf9+nWZbRkZGbhw4QKWLFmCRYsWCZBKsezatUtmW0JCAs6dO4egoCDMnDlTgFREREREhYtFLaIPSpQogeDgYJiamkIsFiMqKgpv3rzJ8/iSJUsWYTrFpquri3r16gkdg4oRS0tL3LhxAzVr1sSJEydga2srmf6bkJAALS0tgRNScaOhoYFGjRohOjoa06dPx/bt24WOJKiqVavK3V6vXj3o6upi165dqFu3bhGnIiIiIipcLGoRfdC7d28sWLAA/v7+EIlEefZjEYvFStkovqAVIT/XrFmz75SEfgSdO3fG8uXLcfToUdy/fx+TJk2S7Lt58yZsbGwETEfFmaWlJR48eCB0DIXm4uKCjRs3Ch2DiIiI6D9jUYvogz59+sDd3R1Pnz7FsGHDMHr0aJQrV07oWAqjoBUhP6WMRT/6OgMHDoSFhQVu376NHj16SK12mJCQgC5dugiYjoqrly9fYt26dVysogBBQUEwMjISOgYRERHRf8ZG8URyTJo0CUOGDOEbo0+8fv36q44vVarUd0pCRMquRo0aMk3Ps7KykJmZCS0tLfj6+ir9lOjBgwfLbMvMzMSzZ8/w9u1bjBs3Dn379hUgGREREVHhYVGLiIgEc+bMGdy+fRsRERH47bffULJkSVy5cgVly5ZFiRIlhI5HCmrlypUyRS0NDQ1YWlrC3d2do5AA9OrVS2abpqYmLC0t0bx5czRo0ECAVERERESFi0UtIvpmV65cQWhoKBISEmBoaAhXV1fUrFlT6FhUDMTGxmLIkCG4efMmzM3NERUVhV27dsHBwQETJ06EtrY2pk+fLnRMIiIiIiJSYOypRURfLSUlBcOGDcPFixehqqoKIyMjxMfHIzs7G3Xr1oWvry+0tbWFjkkKbO7cuYiLi8OBAwdgbW0ttVJbnTp1sGbNGgHTUXEUGhqKZ8+ewcXFBRUqVBA6jkJKTU1FZGQkypYtKzPSjYiIiKg4UhE6ABEVP4sXL8bNmzcl/z137hxu3rwJHx8fyX+J8nP69GmMHDkStra2Mm+urays8O7dO4GSUXEwZswYqRUz//rrL/z888+YOnUq2rdvj4sXLwqYTjFs2LABvr6+ku9DQ0Ph7u6OFi1aoFmzZnjx4oWA6YiIiIgKB4taRPTVjh8/jjFjxqB169ZQVVUFAKiqqqJVq1YYNWoUjh49KnBCUnTZ2dnQ0dGRuy8xMRHq6upFnIiKk6tXr0r1hPL390eXLl1w9epVNG/eXKqYo6z+/vtvqb508+bNg62tLVavXg1jY2MsWbJEwHREREREhYNFLSL6aomJiXmuDFm2bFkkJiYWcSIqbhwdHbF79265+w4dOgRnZ+ciTkTFSWxsLCwsLAAAjx8/xtu3b/HLL79AV1cXHTp0wKNHjwROKLyIiAiUK1cOAPDu3Tvcu3cPY8aMQePGjTFw4ECEhoYKnJCIiIjov2NRi4i+mo2NDQIDA+XuCwwMhK2tbdEGomJn5MiROHXqFHr27Ilt27ZBJBIhKCgII0aMQHBwMIYPHy50RFJgRkZGeP36NQDg7NmzMDc3R8WKFQHkjgLMyckRMp5C0NTURHJyMgDg4sWL0NHRQY0aNQAA+vr6SEpKEjIeERERUaFgo3gi+mpDhw7F8OHD8fr1a7Ro0QJmZmaIjo7G0aNHcevWLaxYsULoiKTgatSoga1bt8LHxwfe3t4Qi8Xw8/ND9erVsXnzZjg4OAgdkRSYu7s7Fi9ejAcPHmDv3r1o166dZN/jx49RunRpAdMpBkdHR/j7+0NFRQUbNmyAu7u7ZLr4ixcvpKYmEhERERVXIrFYLBY6BBEVPydPnsSqVatw//59iMViiEQi2NvbY9iwYfDw8BA6HimwjIwMnDp1Cvb29ihbtizS0tKQkJAAAwMDrppJXyQpKQnz5s3DnTt3UKVKFUydOhV6enoAgO7du8PFxQVjx44VOKWwnjx5gsGDB+PVq1coWbIkNm7cCGtrawBA3759YW5uDm9vb2FDEhEREf1HLGoR0X+SkpKCpKQk6Ovr59n4m+hz1apVw/r161G7dm2hoxD90OLi4mBsbCy17eHDhzA3N4eJiYlAqYiIiIgKB3tqEdFX++uvvxAfHw8A0NHRQYkSJVjQoq9SoUIFvH37VugYRD+8zwtaAFC5cmUWtIiIiOiHwJFaRPTVqlatCgCoU6cOvLy80KRJE+jq6gqcioqT06dPY968efDx8ZE8n4iIiIiIiL4Gi1pE9NUSEhJw7NgxHDp0CFeuXIGGhgYaNmwILy8vuLu7Q0NDQ+iIpOC8vLwQGRmJxMREGBsbw9TUVGq/SCTC/v37BUpHRERERETFAYtaRPSfREdH49ChQzhy5Ahu3LgBfX19NG3aFPPmzRM6GimwiRMnQiQS5XvM/PnziygNEREREREVRyxqEVGhOXfuHCZPnoyoqCjcv39f6DhERERERET0A1MTOgARFW8RERE4dOgQDh06hPv378PY2Bjdu3cXOhYRKYGwsDDcvn0bERER6NSpE8zNzfH8+XOYmppCT09P6HhERERE9J2xqEVEXy02NhZHjhzBoUOHcOPGDejo6MDT0xOjRo1C3bp1oaqqKnREIvqBpaamYsqUKThy5AgAQCwWo0GDBjA3N4ePjw9Kly6N8ePHC5yy6A0ePPiLjxWJRFizZs13TENERET0/bGoRURfrUGDBlBTU0PDhg2xdOlSNG7cmM3hiajIeHt749KlS/Dz84OrqyucnZ0l+xo2bIjNmzcrZVHr/fv3QkcgIiIiKlIsahHRV5szZw6aNm3K6T1EJIhjx45h/PjxcHd3R3Z2ttS+UqVK4fXr1wIlE1ZAQIDQEYiIiIiKFItaRPTVOnToIHQEIlJiKSkpMDc3l7svNTW1iNMQERERkVBY1CIiIqJipXLlyjh+/Djq168vs++ff/5B1apVBUilmJ4/f47w8HCkp6fL7GvWrJkAiYiIiIgKD4taREREVKwMGTIEQ4YMQWpqKlq0aAGRSIRbt27h4MGD2L17N9atWyd0RMElJydj2LBhCAkJAZDbTB/IbRD/0f379wXJRkRERFRYROKPr3KIiIiIiomjR49i4cKFePPmjWSbpaUlJk6ciBYtWgiYTDFMnz4doaGhmD17Nnr06AFfX18YGhpi//79uHTpEnx8fODo6Ch0TCIiIqL/hEUtIiIiKraePXuGuLg4GBoawsbGRug4CsPDwwOjRo1Cq1at4ODggJ07d0qKWN7e3oiIiMDSpUsFTklERET033D6IRERERVb5cuXR/ny5YWOoXBiY2NhZWUFVVVVaGtrIz4+XrLP3d0dw4cPFy4cERERUSFREToAERER0dd6/PgxRo0aBU9PT1StWhV3794FACxduhSnT58WOJ3wLC0tERcXBwCwtrZGcHCwZN+1a9egqakpVDQiIiKiQsOiFhERERUr58+fR4cOHfD69Wu0bt0aWVlZkn1qamr466+/BEynGOrVq4cLFy4AAHr37o3t27ejY8eO+Omnn+Dr64t27doJnJCIiIjov2NPLSIiIipWOnbsCFtbWyxcuBBZWVmoWrUqdu/eDQcHBwQFBWHWrFk4c+aM0DEFlZqaitTUVJiYmAAATpw4gaNHjyI9PR1169ZFt27doKLCzzaJiIioeGNPLSIiIipWHj9+jDFjxgAARCKR1D4DAwPJtDtlpq2tDW1tbcn3TZs2RdOmTQVMRPT/9u4epMo2jAP45XuyKAot+wChzJLQipY+CCuCCHSqoI+hJWi0E0EfgxEKLjXXkaagpYIgsKYacgoHazLBITgUchwyyAwEKznv9H74Wr2Dp/Ocx36/7Zz7Hv484/957usGgNLzig4ASJWampp4//79d9fevn0ba9asKXOiytPS0hJDQ0PfXRseHo6WlpYyJwIAKD2lFgCQKocPH45bt25FPp//+7+qqqoYHx+PO3fuRFtbW4LpKsPPpkt8+/YtMplMGdMAAPwajh8CAKly6dKleP36dRw5ciS2bNkSERFXr16N0dHRaGxsjGw2m3DCZIyPj8/6gi2fz88pr6anp+PRo0dRX19f7ngAACVnUDwAkDpfv36NJ0+exMDAQHz8+DFqamqitbU1jh49GosXL046XiJyuVzkcrk5c8b+rVgsRiaTie7u7jh16lQZ0wEAlJ5SCwBIjenp6bhw4UKcPXs29uzZk3ScilIoFKJQKESxWIwzZ85EV1dXNDU1zdpTXV0dGzdujJUrVyaUEgCgdJRaAECq7Ny5M3p7e2Pv3r1JR6lYg4ODsXXr1li+fHnSUQAAfhkztQCAVNm3b18MDAwotX7ir6/YXr58Ga9evYpPnz5FTU1N7N69O3bt2pVwOgCA0lBqAQCpcvz48eju7o6pqak4cOBA1NXVzZkjtW3btoTSVYapqanIZrMxMDAQixYtitra2piYmIiZmZlobW2NXC4XS5cuTTomAMC8OH4IAKRKc3PzrN//LrSKxWJUVVXFyMhIuWNVlJ6ennj8+HH09PREe3t7ZDKZmJmZiWfPnkVXV1ccO3Ysrl27lnRMAIB5UWoBAKkyODj4v3t+9yHy+/fvj46Ojjh9+vSctXv37sXt27fjxYsXCSQDACgdxw8BgIqXzWbjypUr0dDQEGNjY3Hw4EE3+P3E5ORkrF+//rtrGzZsiMnJyTInAgAovT+SDgAA8H/6+/tjYmIiIiI6OztjdHQ02UAVbvPmzdHX1/fdtb6+vmhqaipvIACAX8CXWgBAxVu3bl309/dHXV1dFIvFGB8fj7GxsR/ur6+vL2O6ynPu3Lk4f/58FAqFaG9vj9WrV8eHDx/i6dOnMTQ0FDdv3kw6IgDAvJmpBQBUvLt378aNGzfm3HL4XwbF/+P58+fR29sbIyMjfz+XlpaWyGazcejQoaTjAQDMm1ILAEiFfD4f+Xw+stlsXLx4MRoaGn64t62trYzJKtvU1FR8/vw5VqxYEcuWLUs6DgBAySi1AIBU6ezsjI6Ojh8OQufnz6hQKEQul4vr168nkAwAoHSUWgAAC0xzc3M8fPgwduzYMWdteHg4Tp486YgmAJB6bj8EAPiNvHv3Lmpra5OOAQAwb24/BABYAO7fvx8PHjyIiIiqqqq4fPlyLFmyZNaeL1++RKFQMHMMAFgQlFoAAAvA2rVrY/v27RER8ebNm2hsbIxVq1bN2lNdXR2bNm2KEydOJBERAKCkzNQCAFhgDNMHAH4HSi0AAAAAUsegeAAAAABSR6kFAAAAQOootQAAAABIHaUWAAAAAKmj1AIAAAAgdZRaAAAAAKSOUgsAAACA1FFqAQAAAJA6fwJVNQVQCIqdJgAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#TODO: Draw a heatmap between features\n", + "correlation = data.corr()\n", + "# display(correlation)\n", + "plt.figure(figsize=(14, 12))\n", + "heatmap = sns.heatmap(correlation, annot=True, linewidths=0, vmin=-1, cmap=\"RdBu_r\")" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:1689: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Visualize the co-relation between pH and fixed Acidity\n", + "\n", + "#Create a new dataframe containing only pH and fixed acidity columns to visualize their co-relations\n", + "fixedAcidity_pH = data[['pH', 'fixed acidity']]\n", + "\n", + "#Initialize a joint-grid with the dataframe, using seaborn library\n", + "gridA = sns.JointGrid(x=\"fixed acidity\", y=\"pH\", data=fixedAcidity_pH, height=6)\n", + "\n", + "#Draws a regression plot in the grid \n", + "gridA = gridA.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "\n", + "#Draws a distribution plot in the same grid\n", + "gridA = gridA.plot_marginals(sns.distplot)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:1667: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:1689: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#TODO: Visualize a plot between Citric Acid levels and Fixed Acidity\n", + "fixedAcidity_citricAcid = data[['citric acid', 'fixed acidity']]\n", + "g = sns.JointGrid(x=\"fixed acidity\", y=\"citric acid\", data=fixedAcidity_citricAcid, size=6)\n", + "g = g.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "g = g.plot_marginals(sns.distplot)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:1667: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:1689: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualize density vs fixed acidity\n", + "fixedAcidity_density = data[['density', 'fixed acidity']]\n", + "gridB = sns.JointGrid(x=\"fixed acidity\", y=\"density\", data=fixedAcidity_density, size=6)\n", + "gridB = gridB.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "gridB = gridB.plot_marginals(sns.distplot)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:1667: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:1689: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjkAAAJICAYAAACDlfUJAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAA9hAAAPYQGoP6dpAACO+0lEQVR4nOzdeXxU5b0/8M/ZZstk3yBAViBsAQFlEwG3uoFaW6u3rW1ttbVX22tb7621vfa2tbft/fXaxdrFulavrUsrFKTWnV1UQPYtZAEChOzJ7OfMOb8/JjMkZCGZmTBnJp/3S4TMcub7nNk+ec5znkcwDMMAERERUYoRE10AERER0UhgyCEiIqKUxJBDREREKYkhh4iIiFISQw4RERGlJIYcIiIiSkkMOURERJSSGHKIiIgoJTHkEBERUUpiyDkHv9+Pbdu2we/3J7qUEcH2JTe2L3mlctsAto/MgSHnHILBYK+/Uw3bl9zYvuSVym0D2D4yB4YcIiIiSkkMOURERJSS5EQXQJQsXJ4APD5t0Ns4bDKcDst5qoiIiAbDkEM0RB6fhgP1rVA1vd/rFVnElJIchhwiIpNgyCEaBlXTBww5RERkLhyTQ0RERCmJIYeIiIhSEkMOERERpSSGHCIiIkpJDDlERESUkhhyiIiIKCUx5BAREVFKYsghIiKilMSQQ0RERCmJIYeIiIhSEkMOERERpSSGHCIiIkpJXKCTaACGYaCmoQP7altx6FgbGk670NzuhSAIsCoS8rJsGJuXhpKxGbDIUqLLJSKiszDkEPVgGAYO1LVh/Y7j2LLnJFo6fAPe9mSLG7uPtMAii5hSmoP508ecx0qJiOhcGHLovHJ5AvD4tEFv47DJcDos56mikPpTnVi/owHrth9HY6sncrnVImF6eS6mlOQgw6GgucOLgKrD69fQ2OpB/alOdLgC2FXdjAP1rXB5VdxyZSUkUTiv9RMRUV8MOXReeXwaDtS3QtX0XpcbhgEtaECWBFRV5I14yDEMA/WnurBxZwM27zqBY42uyHV2q4QFM8Zi8QXjcMGkfFiU0KGo060e7D7SHKl9cnE2FhtFONrYhff3nsLpNi/+/PpBHKhrxbc+MxeZTuuItoGIiAbHkENxc65eGkEAAmoQqqbD41NRd7ILtSc60NzuRXuXH0b37WRJRH62HRPHZ6GyJBtTSrJRPi4TSpTjXiQpdL8Olx+7Djdjx6HT2Hm4CafbvJHbyJKIOZUFWDpnHOZNHwObZWhvDUEQUDImAxMK03Gwvg0bP2rAjkNNuPcX6/D9OxagdGxGVDUTEVHsGHIobgbqpQmzW2U4HQo27mzAzsPNA95OC+o42ezGyWY3NnzUAABQZBETx2dhWlkOppXlYtKELGSlWyEIfQ8L6bqBdpcfp1rc2HX4NPZUt+PUqxvR2OrtdTtZEjGjIheLqsZiyezxSLMrUbddFATMnJiHpbPH47GVu9DQ5Mb9j27Eg1+aj2lluVFvl4iIoseQQ3Glanq/4UXXDew83IRNu04goIauz0izYOL4LBTlpyEnwwarRYJFllBcmI6AFsTBo204WB/60+kOYH9dK/bXteKv71QDCIWmvCw7nHYFsiRCC+po6/Khud0LLWj0qQEA8jJtmDAmHcWF6Rhf4ITDpmBKSU5MAaenCQVO/PzrS/DDJ7Zif10r/vMPW/BfdyxA1cS8uGyfiIiGjiGHRlx7lx9vvF8fOTxUmOPAhVMKUTI2vU9PjCKLyMuyoyDHgQsmFwAIjZ852ezGvtrW7qDTgobTLnj9Go41dvX7mKIA5GTaMTbHjqDmw4SxuRhXkAG7tfdLfqDepGhIogBN1+Hxafjapy7A7/66E7uPtOAHj7+Hb356DiaOzwKQmIHVRESjEUMOjajDx9rwzrbjUDUdVouEjy+tQGGOY8CeFgA4+wCUIAgoyneiKN+JK+YVAwBULYiTzW60dfnh8qrQdQOSKCDTaUV+th25GTZIkoiGxg68uXkPsnOcsAwwziZe50GJogBfIIhjje1QNR1L54xHhyuAo41d+N/nt+FTl0/G2Lw0TCnJYcghIjoPGHJoRBiGgff2nML2g6cBAGPz0nDDknJMK8tFTUMHgP5DTrg35HSP07gHkpNhQ/GY2Ab2DvXxwoOmh6LnIburF5Zi9YYanGxxY9X6I7j1ysqY6iUioqFjyKG404I63nj/aHeYAeZU5mP+9LFwOs497uXs3pCBKLIYlx6RoT6e3SpjbF7asLevyCKuXVSKl985jA5XAH/fUIPZlQWxlExEREPEtasorgJqEGs21qKmoQOiKOCKi4qxsKoI4jAnxwv3hgz2J57T7Z3rsbRg9GN3bFYZyxeXw2aR0NjqweOr9kDXBz5cR0RE8cGQQ3Hj8qr427vVaGhyQZFFXL+4HJUl2SPyWD0PMw30p6nNA003IAiJf5lnOa24ZlEpJFHA9oOn8fSr+xJdEhFRyuPhKoqL1k4f/ufZD3GqxQOrRcKKxeUozHGM2OMN5TCT3SqjMNs+YjUMV1GeE1fOK8Zr79XjlXerUTo2HZddWJzosoiIUlbif8WlpNfW6cMDv92IhiYX0mwyPr504ogGnJ5G6hDTSJlSmoMVi8sAAL95aScOHW1LcEVERKmLIYdi0uHy43t/2IyGJjdyMmz41BWTkZtpS3RZpnb9kgrMnz4Gqqbjx0+9j9bOgVc6JyKi6DHkUNRcngAe/MMWHD3VhZwMG/79s1yUcihEQcA3Pz0HEwrT0drpw38//T5UbWinpxMR0dAx5FBUPD4VDz62BTUnOpDltOKhuxahIPv8HKJKBQ6bgu99cR7S7AoO1rfhty/vgmHwjCsionhiyKFhC6hB/OjJrTh8rB3pDgseumsRJhSmJ7qspFOU58R/3HYhRAF484OjWLOxNtElERGlFIYcGpagbuDh57djz5EW2K0yfviVhSgZG9usw6NNz/l95lQW4PYV0wEAj/99D3YebkpMUUREKYghh4bMMAw8vmo3Nu06AVkS8N0vzIssOklD09/8PgtnjMXCqrHQdQM/eeYD7K1pgcsTSHSpRERJj/Pk0Dm5PAF4fBrWbq6NHFL54ooZGJuXFlnzaThrO41mA83vM7eyADUNHWhs9eDn/7cNP7hzARfxJCKKEXty6Jw8Pg1/e/cw/vpONQBgyexxcNhk7D7SHPlz+Fg7VBPOS2NWZ8/pYyC0mKfDJqO53YsnV+/l0g9ERDFiyKFzqj7ejte21AMALpiUj6qKvKSYeC/ZOO0KrlkYWvph24HTePGtQ4kuiYgoqTHk0KAaWz34zUsfIagbKCvKwKKZYxNdUkobk5uGyy6cAAD4v9cOYNPOEwmuiIgoeTHk0IA8PhU/euI9dHlU5GfZccW8YghCPNf+pv5ML8/F5ReFgs7P/28bdh7iGVdERNFgyKF+BXUD/++5bag/1YXMNAuuX1IOiywluqxR49YrKrFo5lhoQR0/fnor17giIooCQw7166nVe/Hh/kZYZBFf+9QFSOeZPueVKAq47zNzMWtSHrz+IP7rj+/hWGNXossiIkoqDDnUx2tb6rBq/REAwDc+PQdlRZkJrmh0UmQJD3xhHiZOyEKXJ4AH/7AZp1rciS6LiChpMORQLzsPN+H3f9sFAPjM1VOweNa4BFc0OoVHPjlsCv7rjgUYl+9Ec4cP9z+6kT06RERDxJBDEQ1NLvzkmQ8Q1A0snT0et1wxOdEljUpnz4rsDwTxjX+ZjaK8NLR0+PAfv9mAD/adwulWD3yqDlHk25iIqD/8dCRIkoQuTwA/fPw9uL0qppRk4+u3XMAzqRIkPCvygfrWyGSLx0+7sOKSchRk2+HyqPjpnz7Emx8chdcX5PNERDQALuswyvlUHUEpDT999iOcaHYjJ8OGL99YhfYuPwAu15BI4YkWw2RJxA1LKrBmUy1ONrvx0luHkGaVUJKVuBqJiMyMPTmjnMer4al/1KD6eAcsiojrLi7F0cYuLtdgUhZFworF5SgZkw4taODx1fvw+vY2LgFBRNQPhpxRbvXGOtQ3+iAIwNULSpGRZuVyDSanyCKuvbgMc6cUAAA27O3Ez57bAZdXTXBlRETmwpAzir35fj3Wdq9JdcmssZhQmJ7gimioREHAJReMwxeXT4UsCfjocAu+8Yt3sa+2JdGlERGZBkPOKLVl9wk88tJOAMCUCXZUFmcltiCKyvzphfjKtUXIz7LhVIsH33l0I55esxeqxnFUREQMOaPQh/sb8T/PfghdN7BgRiGmFzsSXRJFQRIFGIaAosIcPPD5C7Fo5ljoBvDXd6rx9f99Fx/sDZ1m7vIEEl0qEVFCMOSMMruqm/CTp9+HFjSweFYRPnf1FJ6CnKTCp5rvr21B9bE2zJs2BssXl8FulXH8tAs/fHIrfvXCDpxs5izJRDQ6MeSMIvtrW/GjJ7YioOmYP30MvvWZuRBFBpxk5w9oCHQPFC8Zk4Fbr5yMSROyAAC7qpvxwO824eW3D3MqACIadRhyRokdB0/jwcc2wxcIYvbkfPzHbRdClvj0pyKHTcHH5pfgpmUTUZjjgC8QxDOv7sOXHnoDL7xxEJ1uHr4iotGBkwGOAhs+asDDz2+DFjRwweR8PHD7PFgUKdFl0Qgbm5eGW6+cDJdXxd831KCpzYvnXjuAl94+jCsvKsaV80tQVpTBw5VElLIYclKYYRh48c1DeO61AwCAi2cV4VufngNFZsAZLQRBwKKqIixfXI6NO0/glXeqUXOiA2s21WLNplpMKHRi6ezxuGT2OBTlORNdLhFRXDHkpCi3V8Uv/rwdW/eeAgBcOa8Yn7p8Mto6/ZHbCAKg6QYEgYetUp0siVg2ZzyWzh6HXdXNWLu5Fh/sa8SxRheee+0AnnvtAIry0jBnSgHmVBagqiIPNis/HogoufFTLAUdPtaG//fcNpxsdkMUgGVzJ2B6eS72njVRnN0qozDbnqAqKREEQcCsSfmYNSkfbq+KLbtPYt3249h1pBknmt04sbEWazbWQhIFlBVlorI4G5Ul2Zg4PgtWiwSHTYbTYUl0M4iIhoQhJ4Womo4X3zyEF986BF03kJNhw5XzipGXZe+10GOYInPJhtEsza7ginnFuGJeMepOdODND46ipqEDdSe70OUJoPp4O6qPt+PVzbUQBWBMXhpmTyrA/BljMLU0hz09RGR6/JRKETsPNeF3f9uFhiYXAGDxrCLcfNkk1J7s7DfgEPXksCkoK8rE+IJ0XHKBgU53AA1NLpxodqPhtAsur4oTTW6caKrFq5tDPT2TJmShamIeZlTkYWppDuwMPURkMvxUSnIH6lvx/GsHsONQEwAgK92KL99YhUsuGIfTrZ4EV0dmMNxzpwRBQKbTikynFdPKcmEYBro8AZxu9aLT7cfBo+1o7fThQH0bDtS34aW3DkMSBZSMzcCUkmzMnJiHOVMKGXqIKOH4KZSkDta34s+vH8S2A6cBhKb4v2ZRKT5z9VQ47UqCqyOzkEQBmq4PGngFAYNOFCgIAjLSrBiTm4YJhek41tiF5nYvjp92df/pQpdHRU1DB2oaOrB2cx1EUcDE8ZmoGJeFsnGZKCvKQMmYDAYfIjqv+ImTRNxeFet3HMc/ttSh9kQngNBq1ItmjsXyxeXIz7LD41Xh8arn/OKi0SG89MOxxvYBD1varTLG5qUNeZuqpsNhUzC5OBuTi7MBIHJ462SzG01tHjR3+HDoaDsOHW3vdd9MpwUF2Q4U5DiQl2lHRpol8ifTaY382+mwQOJs3EQUI4Yck3N5Ath+8DQ+2NeILXtOwh8IBRdJFDC5OBvzp49BVroVp1rcONVyZo2i4X5xUWpTu5d96E88BqCHwkkOZk7MQ1VFHgwA++taUXeiA7UnOlF7ogNtXX50uALocAVw+Fj7oNsTBSA9zYJ0uwJF1FC4U0VOph1Z6TYUZNtRmONAYU4acjJtDENENCCGHJPpcPlx+Fg7Dh9tw87qZuyva4WuG5HrJxQ6saiqCFnp1siyDDxzisxEAFCQ40BhjgOYMz5yucur4nSrB42tHhxr7ERTuw8uTwAujwqXN4Auj4ouTwAenwbdQCQQAUBtY2O/jyWJAvKz7Ribm4bC3LRQ+Ml2ID/HjsJsB7LSrZzRmWgUY8g5z1RNR6c79BttW5cPp5rdoflJmt041tiFxn7GThSPScdFUwuxYMZYVJZko6nNi91HmnnWFJnOucYAOe0K0sdnYkKBEzUnOvp9DQd1Az6/Bt0wYJVF7Dp4HIJshV814PFp6HD70ekKoMsTQFA3cKrFg1MtHgBNfbZlkUXkZzuQk2FDhrP7sFjamcNidqsMq0WC1SLBZpFhVSRYFBGyJEISBYiiACn8b0HggrZESYYhZxC+gIZ3tjXgSH0XDjXXQZZl6IYBXQ8tmaDrRvfPBgwD0A0DmqbDrwbhDwThCwThVzX4AkG4PAG0uwJwe9VzPu6YXAfKijJRXpSJqol5yM86M2Ffc7uXY23ItIYzBmiwQ2gWJTTx4Li8NDQ1NSIrOxsWS+9JCHXdgBYMIiPNitZOH5rbvWjuCP3d0uFDW5cPAU1HQ5MrMrVCzO0TQm0UxVDwCQchURAgdF8nCAJEAd1/CxDF0L97XS4KgKHD7/fDvr4LsiT2uO+ZbYX/DQCR/tzufxiG0e/lQLjG7u10P54oCpDCdYhntt/r716Xoc914e2F2x2qI/zHgNFdl2EA/kAATac7sefkESiKAt0wgO7PyTP3O/PZGWmGARiRRvZumtHjdoIghM4c7K4p9PyEahR6/o2zfhZCg+0FnLlM7N6QKIZee4tnjUNGGie9TAWC0fNVkwIOHjyIQCA+qyx7/dqIrdgc/uCQun9TlKUzHxzBoIGBnhRB6P5tOWhgsKdOFARI0uC3C39Y+QMqxNAncVTbGdbjxeE2qd6+YdUUh/aZcR8Mt339v2fO/EIiCIBuhH85CX2phr9gz3w5Y9B6aPRw2BSkOwY/S9UwDKiqCkVRBj0karFYUFlZGe8SaYjYkzMIu1VOyCmvQ1k/c6hrbA5pW7L1/D4e2xfffRCn9plxHwDxff6I4kUQhD69i2Q+KdeTQ0RERAQAXH6aiIiIUhJDDhEREaUkhhwiIiJKSQw5RERElJIYcoiIiCglMeQQERFRSmLIISIiopTEkENEREQpiSGHiIiIUhJDDhEREaUkhhwiIiJKSSkZcg4ePIiDBw8mugwiIqJh43dY/KRkyAkEAggEAnHZlt/vx7Zt2+D3++OyPbNh+5Ib25e8UrltANsXi3h+h412KRly4ikYDPb6O9WwfcmN7Uteqdw2gO0jc2DIISIiopTEkENEREQpiSGHiIiIUhJDDhEREaUkhhwiIiJKSQw5RERElJIYcoiIiCglMeQQERFRSmLIISIiopTEkENEREQpiSGHiIiIUhJDDhEREaUkhhwiIiJKSQw5RERElJIYcoiIiCglMeQQERFRSmLIISIiMplg0Eh0CSmBIYeIiMhkmju86HQHEl1G0mPIISIiMqEOlz/RJSQ9hhwiIiITMgwesooVQw4REZEJMePEjiGHiIjIhJhxYseQQ0REZEI8XBU7hhwiIiITYsaJHUMOERGRCelMOTFjyCEiIjIjZpyYMeQQERGZkMGUEzOGHCIiIhPSdYacWDHkEBERmZDG9atixpBDRERkQqoWTHQJSY8hh4iIyITYkxM7hhwiIiITYk9O7BhyiIiITEjV9ESXkPQYcoiIiExICzLkxIohh4iIyITYkxM7hhwiIiITYsiJHUMOERGRCTHkxI4hh4iIyIQ4Jid2DDlEREQmxJ6c2DHkEBERmRBDTuwYcoiIiEyIh6tix5BDRERkQuzJiR1DDhERkQkx5MSOIYeIiMiEuHZV7BhyiIiITIirkMeOIYeIiMiEOPA4dgw5REREJhRkT07MTBFy3nzzTdx8882YM2cOFi1ahHvuuQc1NTWJLouIiChhgjp7cmKV8JCzefNm3HPPPSgrK8MjjzyC//zP/0RtbS1uv/12uFyuRJdHRESUEOzJiZ2c6AJeffVVFBUV4Wc/+xkEQQAAjBs3DjfffDO2bduGpUuXJrhCIiKi8y+oM+TEKuEhR9M0pKWlRQIOAKSnpyewotHpaKMLLl8X8rPsKBmb0e9t6k92oqndC1UNQlEk5GfZAaDPZSVjM7BqXTUOH2/HpPFZuGByAZravZHrwtvp+VhnX7Zl1wnUnepE6ZgMLJxZNOz2hLfntAlDvm1/bR/suuFsJ9mkUluIkhUPV8Uu4SHnk5/8JL7whS/g2WefxQ033IDOzk787Gc/Q0VFBRYuXJjo8kaF9w52YXvNDgQ0A1ZFwg1LyrHikopet1m94QhWra9BpzsAvxqERRahyCIMI3QGQEDTYVUkZKRZEFA1tHUFAADrtjdAlvbB6bDAqkgoH5eBmoZO+NVg5LEAYNX6mshldquEo40uGIYBQRAwf3ohHvjC/CG3J1xrqE4Bc8qtmDr13Lc9u+2DXTec7SSbVGoLUTLj4arYJTzkXHTRRfjNb36Db33rW3jooYcAABMnTsSTTz4Ji8US9XYNw4DH44m5Pq/X2+vvVHO4vhnvHXBBlmVkORW4vRpWrqvGpPHpKC50Agj18qxcVw1V0xFQNcAIzcTpDwQBARAFATAMBFQNnW4DXn/vCay0oAERoeu37m1EZpqCLKcFbq+Gl98+DMCAJIrIcipo7fChsVWDIACyJCAYNLB1byPe/bAO86YVnLM94VoNA8hyKnB5VLx3wIXF9c2YVJI36G17th3AgNeF98tQtnP2beMt3q/PRLalP6n8/kvltgFsX5jD4Yj6MQKaFpfvsVQ01P2a8JCzfft2/Pu//zs+8YlP4LLLLoPL5cLvf/973Hnnnfjzn/8MpzO6D1ZVVbF///641VlXVxe3bZnJoQYv1KABmyUIv1+HJBhweXXs2H0I7lZ75DZubwAWCTAMQBAA3TBgABAMQIcBMZRzoA0wQ6fHr8KuCDB0AzA0+P0GJMFAlzcIA0C2U4LfH4QeDN1fAIDwY+kGPtxdg3ShZUjtcXsDSLeL8PuDkEUDvqCBfYePQvM0DXrbnm0HMOB14f0ylO2cfduREq/Xpxna0p9Uff8Bqd02gO2bO3du1NsOBDTUHz8Fn7sDOg9d9TLU/ZrwkPPQQw9hwYIF+O53vxu5bO7cuViyZAleeukl3H777VFtV1EUTJw4Meb6vF4v6urqUFpaCrs9cR/yI0V2NGPth+3QdAlOR+g3d4cdmF01OfKbe1qOC2/u2gFV0yEIARhGqPdGN4xIT07o0BIgyxLUYN+g47AqoVAkqoAgw2q1dD+WBMBA0BCRZpPh9hkANBgAIACGDgiigAuryjF16rl7csK1Bg0gzSbD5VEhSwamTSru05Nz9m17th3AgNed3aMx2HbOR09OPF+fiWxLf1L5/ZfKbQPYvrgQRGRk5qJk/JiR2f4okPCQc+TIEVx22WW9LsvJyUFBQQGOHj0a9XYFQYipm/Bsdrs9rtszi0kleVgwxYntNX50uFRYFAk3LKnAlLIzgWJKmQM3Lp2IVetrYFH0yJgcuXtMTjCow6/psHSPybFZzozJAUKHnQwIsCgSFkzPwZGGzshjfXxZBQADq9bXoMOlwm6zICfTjqONLmjB0JicBdPHYNmFpUNqT89aO1wqFFnAwilOTCrJ6/P8nX3bs9s+2HXD2c75EK/Xpxna0p9Uff8Bqd02gO2LhSSJUBQlpfffSEt4yCkqKsLevXt7XdbU1ITTp09j3LhxCapqdFlQmY7LF06Dy2cMeDbNiksqMHNi/oidXRXedjzOrupZq9MmwN16bEi3Pbvtg103nO0km1RqC1Eyk8Vznx1Kg0t4yPnMZz6DH/3oR/jhD3+Iyy+/HJ2dnfjDH/4Ah8OB66+/PtHljRrFhc5z/rZQMjaj3y+8/i67YenEAW/T33bOvmzhzKKoTh0/e3sejwf7W4d22+FeF8ttzS6V2kKUrEQx4fP1Jj1ThBxFUfD888/jlVdegcPhQFVVFX72s5+hoCCxXeRERESJIrEnJ2YJDzmCIOCWW27BLbfckuhSiIiITEOSGHJixb4wIiIiE5J4uCpm3INEREQmxMNVsWPIISIiMiEeroodQw4REZEJyRK/omPFPUhERGRC+Vl2OGwJPz8oqTHkEBERmVBmuhVOR/QLVRNDDhERkSnxcFXsuAeJiIhMSJH5FR0r7kEiIiITYk9O7LgHiYiITIghJ3bcg0RERCakyJwnJ1YMOURERCbEZR1ixz1IRERkQiKXdYgZQw4REZEJce2q2DHkEBERmRBDTuwYcoiIiExI4tlVMeMeJCIiMiGOyYkdQw4REZEJ8XBV7BhyiIiITEhgxokZQw4REZEJ6bqR6BKSHkMOERGRCQUZcmLGkENERGRC7MmJHUMOERGRCbEnJ3YMOURERCbEnpzYMeQQERGZUEANJrqEpMeQQ0REZEJev5boEpIeQw4REZEJMeTEjiGHiIjIhNw+hpxYMeQQERGZUIfLn+gSkh5DDhERkQm1dPgSXULSY8ghIiIyoZYOb6JLSHoMOURERCbU3M6QEyuGHCIiIhPq8qho6+Ihq1gw5BAREZmMJAoAgNoTnQmuJLkx5BAREZmMLIe+nutOdCS4kuTGkENERGQyihT6ej5ynCEnFgw5REREJqMoEgBgV3UzF+qMAUMOERGRyVhkETaLhHaXH3UnOS4nWgw5REREJlQ1MQ8AsOPg6QRXkrwYcoiIiExo9uQCAMAH+xsTXEnyYsghIiIyoQUzxgIA9ta04HSbJ8HVJCeGHCIiIhPKz7ajqiJ0yGr9joYEV5OcGHKIiIhMaumc8QCAd7Ydg2HwLKvhYsghIiIyqYtnFUGWRBw91cWzrKLAkENERGRSTruCedMLAQDvbjue4GqSD0MOERGRiS3rPmS1bsdxBDkx4LDIiS6AiIiIejMM4HRr6Iyq4sIMOGwyWjp82PhRA6aW5gx7ew6bDKfDEu8yTY8hh4iIyGR0w8CB+laomg4AKC/KxJ6aFrz2Xh20oD6sbSmyiCklOaMy5PBwFRERkQmpmh75U1aUAQCoaehAQA32um4of0YrhhwiIiKTG5fvhCKL8Pg0nG7zJrqcpJHww1W33XYb3n///X6ve/jhh3Hddded54qIiIjMRZJEFI9Jx5HjHag90YHCHEeiS0oKCQ853//+9+FyuXpd9swzz+D111/HwoULE1QVERGRuZSNzcCR4x041ujCghmJriY5JDzkTJw4sc9l3/rWt3DxxRcjJ2f4I8iJiIhSUWFuGgCgpcOLoK5DEjni5FwSHnLOtn37dhw/fhz33ntvoks571atq8bh4+2YND4LNyztG/76U3+yE03tXuRn2VEyNqPXZburm9DS6UNuhg1VE/N73eaXf96G6uMdCOpBSNDg3OJCXnYaJo3PQu2JDlQf78Dx010I6oAkAuML0nG6zQNdN+BXQ4PYnHYZ86ePQfXxDpxqcSOoG5BEAWNy02CRRRQVODFpfBZe31qPxu5TITOdVnh8KiRJhN0qYXxBOnIz7DjR7EJjqwd+VYNVkRHUdTjtlsh2Tpx2IaDpmDg+E/f+y9xe+2DLrhOoO9WJjR81oMMdQHFhOr7y8ZloaveirqEVdcc68O7+PTAEsdd25k8fi7pTnXBYZYwrSIeqBqEoUmS/TRqfhYJsB+pOdeLI8Xa0dPrg9gSQ5rCgpDAdiy8YH9mn4RpKx2Rg4cwibNl1Ah8dboLTbkFGmgKPX0PpmAxs3XsS1cc7erUj/HyFH7/n8zSU5zsaA71u1u9ogMsbwAWT8rFwZlHctk1EsctMs0CRRaiajk5XANkZtkSXZHqmCzlr1qyB3W7H5ZdfnuhSzquv/fxt1J3sAgCs296ANz84ikfuu2zQ+6zecASr1tfArwZhVSTcsKQcALBqfQ2a2r3Qe0watXJ9DfKz7LhhSTmeXbsP3sDZo+0DQG071m3vuwhcUAfqT3X1udzl1fDWh71n4NSCRuS2h4939NlezwFzHS7gVEt/A+hUAEBLhz+ynbD6U13YvOsEXvzJCgDAfz+9FVv3NvZq625XC+75+TuQRQFa5PLe9def6upVuyAAgiD02k5/+yJUmBfVxzrw9rbjKMh2wG6VcLTRBcMwIAgCMtMUtLsCGGyZmXA7brt2Glatr0GnOwC/GoRFFpHptOKGJeVYcUlFr/v093xfPnfswA8ygIFeN0+v2YdA91kY/9hShwUzxuCBL8yPedtnt4OIoiMIAtIdFrR2+uDyqgw5Q2CqkKNpGl577TVcfvnlcDhiG1RlGAY8ntiXpvd6vb3+HglrN9dHAk5Y3ckuvPzmfly7qKTf+xxtdGHlumoYBpDlVOD2anj57UMABAQCwV5f1gCg6wbcngD+9Op++NTkPp3QG9Dxv8+9j7lTCvoEnJ60YcwMahgY9uJ3hgG0dfnQ2KpDACDLAlTNQFtXYEj39wZ0PPPqPjhsMgKqBhiAFtQRUDWsXFeNSePTUVzoBND/871yXTWK85TQtob4+uz/dXMYflWLBJxw27buOYV3P6zDvGkFUW/77HYM1/l4/yVKKrcNYPvCov4uMwxAD4b+9NyeVUIrAI/XD+j2oW1Ll6Cqaly+E81iqPvVVCFn06ZNaGlpwfLly2Pelqqq2L9/fxyqCqmrq4vbts62bV9L5N8CACNy+TGUZff/ojzU4IXbG0C6XYTfH4QkGOjyht4MBvr/slaDGgJaPCtPnH01TTBUF4wET3GudQcDofuJ6/n8DUVA1eGwaDCM0DZ03QAMDR4vsGP3IbhbQx9i/T3fLq+OfYePYvI4+5BfnwO9bgLBvlXrBvDh7hqkCy39bGlo23Z59V7tiNZIvv8SLZXbBrB9c+fOHfT6gRiGgfx0AwaEXpfbLaGfMx3A2Gyhv7v2Q0dnRwtOn+iArif3L7lhQ92vpgo5a9asQVZWFhYvXhzzthRF6XdQ83B5vV7U1dWhtLQUdntsH9QDmdtWjz31hwD0/oKcO20Cpk7tvycnLceFN3ftQNAA0mwy3F4NDruIcE+OX+2bZhRJhgADPjXYd4NJZlp5PuZOKcCGfbsSGnRkWURA1UOHpoThBRwAsCgiIMoQhNDhLVEUAEGGwy5idtXkSA9I/883MG1SMTRP05Bfn/1vR4KkanB7e78uRAG4sKocU6cOrSdnoBp7tmO4zsf7L1FSuW0A2xcrWZZQUTqmz+UWS+gwelFBNiaVDvdwdd/tpTrThByfz4e33noLK1asgKIoMW9PEISYD3n1ZLfb47q9nj55xVSs++hkr0NWpWPT8ckrpg54nyllDty4dCJWra9Bh0uFRZHw8WWTABhYtb4G3kCw10JukiggzWHBDUsq8Ozavf2MyUkedouIb312HgBg857GAQ9Z9R6TM7j+xuQM5T7Z6bbImBwtaEAUhzYmJ9yO8Jgci6LDrwahSCIsiowbllRgStmZcNHf833DkgpMKsnD/v1NQ3599v+6qQBg9BqTIwjAghljsezC0iHvj4Fq7NmOaI3k+y/RUrltANsXi/622+UN/QJbmJuR0vs1XkwTct5++2243W6sWLEi0aUkxCP3XTbss6tWXFKBmRPz+5zJEr5soLOrVlxS3vfsqjRHUp5d9cAX5g/h7KqTEBSnac+uCj9f5zq7qr/nO5pj7IO9bmI9u2qgbRNR7IK6Efkszc3ioOOhEIzhjrYcIV/96ldx4MABvP322xCEoR5n7N/u3bsBAFVVVTHX5fF4sH//fkydOjUlUzPbl9zYvuSVym0D2L5YDPQd1tDkwl0/fQsWWcSLP1kOSYztu3I0MMVMQh0dHdiwYQOuvfbamAMOERFRKtpfGzoJoHxcJgPOEJnicFVmZib27NmT6DKIiIhMa+fhZgDAzEn5Ca4keZiiJ4eIiIgGFlCDeH/fKQDAnMrYB/OPFgw5REREJvfB/kZ4fBrysuyYWsp1HYeKIYeIiMjk1m0PLUOzdPa40HxaNCQMOURERCbm8gTwwb5GAMCyuRMSXE1yYcghIiIysU27TkIL6igdm4FSzj01LAw5REREJhY+VLVk9rgEV5J8GHKIiIhMqrndiz01oVPHl84en+Bqkg9DDhERkUlt+KgBhgFML89FQU7qzRw90hhyiIiITGrTrhMAgEsu4KGqaDDkEBERmVBLhxcH69sgCMDCqrGJLicpMeQQERGZ0JbdJwEAU0pykJPBVcejwZBDRERkQlv3hJZxWDSTvTjRYsghIiIyof31rQCA2VyrKmoMOURERCajajr8gSDS7AomFKQnupykxZBDRERkMqqmAwCmluZwraoYMOQQERGZjKoFAYArjseIIYeIiMhktKABACgew0NVsWDIISIiMpmgHjpcVchZjmPCkENERGQyRqgjhyEnRgw5REREJuS0K3DYlESXkdQYcoiIiEzIZpUTXULSY8ghIiIyIUXiV3SsuAeJiIhMSJY5P06sGHKIiIhMSBAYcmLFkENERGRCHq+a6BKSHkMOERGRCXW6AzDC55JTVBhyiIiITCig6Wjt9CW6jKTGkENERGQyUveinEdPdSW4kuTGkGMywaCe6BKIiCjBFFkCAByob0twJcmNIcdkvH4NLe1e+ANaokshIqIEUeTQ1/NHh04nuJLkxpBjQj41iNZOH1o7fVC1YKLLISKi88xqCfXk7K9r5bicGDDkmJRuhHp1mtt96HD5eRiLiGgUkUQBlSXZMAzgjffrE11O0mLIMRFd73uqoG4YcHlVNHV44fLydEIiotHiuovLAABrN9WyVz9KDDkmcfRUJ7700Ov4yk/fwqsba+D19R6TEwwa6HQH0NzuhY/jdYiIUt7iWeOQm2lDa6cfq9bXJLqcpMSQYxKbdp1Ec4cPne4AVm+sxXd/t6lP2DGMM/MmtHb6EFCZ7ImIUpUii7jtmqkAgBffPIiWDm+CK0o+DDkmsWjmWGSkWSI/e/zambCzqbZP2PH6NbR0+NDu8kPVOF6HiCgVXTp3AiYXZ8HrD+Lh57f3O6yBBsaQYxIlYzLwh/svxycunQibVYpc7vFrWL2h5kzY8Z8JO7phwO1V0dLh5eBkIqIUJIoCvvEvc2C1SNhV3YyX3jqU6JKSCkOOiTgdFnzyskn48VcvxnUXlw0YdtaeFXaCeo/ByZ4Akz4RUQoZX5COr9xYBQB47rUD2LCjIcEVJQ+GHBNKsylYcUl5/2HHp+HvA4WdHoOT3T6VZ2IREaWIK+eX4Pol5QCAX/xlO3YeakpwRcmBIcfEImHnrotx7aJS2CwDhJ3NZ8KOAUAN6uhw+dHc7oXXryaoeiIiiqcvrpiBhVVjoWo6fvjEeww6Q8CQY0KC0PvnNLuC65dU4MdfHSDsrO8n7HSfidXW5UdLhxd+nolFRJTUJFHAv392Li6aVohAd9B5b8/JRJdlagw5JpNmV5DltMKqSFGFne/9bhP+sbmuV9jxBYJo7fCircsHjYOTiYiSliJL+M7nL8L86WMQ0HT899PvY/UGzqEzEIYckxEEAQ6bgrwsO3IzbLBbZYiDhJ1rzgo7bp+GVeuP9Ak7uhEKQs3tXnS5OTiZiChZhYPOVQtKYBjAYyt344m/7+Hnej8YckzMapGRk2FDXpYdaXYF0llpJ82u4IYlFXioO+xYBwk7vu6wE9QNdHlCg5M9Po7XISJKRpIk4u5PzsLnrg1NFrhy3RH87NkPODThLAw5SUCRJWQ5rcjPsiPDYYEsib0OZTm7w86Pv3oxrl7Yf9j57u8347UtobATHpzc7vKjrcsPUVLOf6OIiCgmgiDg5ssn477PzIUsidi86yS++7tNaO/yJ7o002DISSKSJCI9zYKCbDuynFbYFKnXoSynXcGNS8Nhp6R32PGqWLnurLDTPXNymyuATneAMycTESWhpXPG40dfWQinXcHB+jbc9+v1ONbYleiyTEFOdAE0fOFxOw6bAr8ahNevwevXIsdjQ2FnIq64qBhvfnAU72w7Dn8g1IUZDjtvvH8UH5tfjPlT86CqGlxeFRC9SLMpSLMrEM8eCEREROeNYQCnWz1Dvn1BtgPf+fxF+NULO9DY6sG3frUed39yFqaW5oxglSPLYZPhdFjOfcNBMOQkOasiwapIcNoVeLwaPH4Vum7AQGgG5V5h58PjkeO1bq+KV949gte31mNWiQ3jJwRht4fG63j9GtIcChxWGcLZp3gREdGI0w0DB+pbh93D/vFlE7F6Qw1ONLvx8PPbcPlFxZhenjtCVY4cRRYxpSSHIYdCZElEhtOCNIcCj1eFx68iGOwbdt54/yje3dYz7GjYfMCFnfXb8LH5pVg6ZxxsFhkdLj+8Pg1OhwKbhS8TIqLzTdX0YYccWRKx4pJyvP3hMRw+1o433j8Kt1fF7MqCEarS3PjtlWIkUUB6mgVpdgVevwqPT4Ma1GEYobDz8WUTceW8/sPOK+9W442t9bhyfgmWzhkXmlCwMwirIiPdocCiSOd4dCIiSjRZEnHlvGKkOyzYfvA0Nu8+CQPAnFEYdBhyUpQoCkizW+CwKfD6NXh8GgJasFfYuWJeMf6xqQYbPjoBNRgaz+PyqpGw87EFJVg6e3wo7KhB2G0ynHYFssTx6kREZiYIAhZWjYUkCfhgXyO27D4Jh1XGlCQeoxMN04Scl156Cc8++yxqa2vhdDoxa9Ys/P73v090WUmv1yDlgAaXV0NA1aAbQLrDghWLS1CWE0BtqwWbdp2K9Oy4vCr+9k6Pnp3Z46EbBnx+DWk2BY5+5u0hIiJzmTdtDHTdwLYDp/Hu9uPIzrChMMeR6LLOG1OEnEceeQRPP/007rrrLsyaNQsdHR3YsGFDostKOVaLDKtFRkANwtN9RpYAwG4VsWJxCa65uBxvbD2Kd7cfQ0ANHQfu8vQNO0HdgMevwWmX4bApHJxMRGRi86ePQUuHD3UnO/HG+/X4l49VQhJHR498wkPOkSNH8Lvf/Q6PPfYYFi9eHLn8yiuvTGBVqc2iSLB0n5HVJgRhs1khCEC63YKbLp2IK+cXDzHs6PB0D062WzmhIBGRGQmCgCvnFeO51w6gwxXAvtpWVFXkJbqs8yLhIedvf/sbJkyY0Cvg0MC27DqBulOdKB2TgYUzi/DAbzfiaGMXigvT8ZWPz0RTuxeqGoSiSGg43QWPX8Pu6mZ0ugOYOD4TZUWZOHy8HbUNHfAFgkh3yCjMknB6y264fRpkWYQIAY1tXkhCaOkIt/fM8g/hsPO3d6ohiQIyHKE5dbIzrMhMs+LA0fbI7a2KiMIcB442uiL3tyoi/GrvswUkEei5bqgAoL8VWEQRyE63QpFFNLf7oAXP3EoWBWi6AYssomRMOmpPdkDrNbv58V7bctpleHyhw3ZnP4aA0IdCXpYNLo8Kl1cb9DmRRaAo34lMpxW1Jzp63T7cFkUWMKeyAE67gurjHTjV4kZQN2CzSCjMdqC+sRO6AYzPd+LCqYXYdaQZabbQ4PG2Tj9kScS4Aicy0ywozE3DB3tPobHNA0M3kGYD0td3QtdDi7HaLBKcaQrG5aejpcOLlg4f0mwyKktykZtpC+1DRUJ+lh0Aer1mNn50HI1tXkyekIWcDBs+OtwEiyxh1qR8TC/PRcnYjF5trz/Zib01LQDQa7tn364/9Sc70dTujdz+7J8B4P19p/Hh7g7UttWjdFxOpM6et+nvfkTUm0WRcNG0Qqzf0YAdB09jRnnuqOiFFwzDSOiKXp/97GeRnZ2NKVOm4LnnnkNXVxcuuOACfPe738XUqVOj2ubu3bsBAFVVVTHX5/F4sH//fkydOhUOR2KPY/7301uxdW8jDMOAIAj9LsZms0gIdJ9yOJzF2iyyCKfDAptFgm4YcHlUeHxqnxAwEAEIncJuUxDUDXS6A5HFQclcBAGwWWTIkgDDALSgjoCmn/P14rQr+PRVlVhxSQUAYPWGI/jz6wfh9qowjFCYs1kkZDqtuGFJeeR2/Vm94QhWra+BXw3CqkgoH5eBmobOyM83LCnH7iPN2Lq3MVJXeIJKiyxGHgNAr+2c63HNxEyfLSOB7Yve7t27EdQNtASy4joTvarpeHzVbugGcNs1U5GRFtscNCNJkUVUVeShIMbxQwnvyWlqasLevXtx+PBh/OAHP4CiKPjNb36D22+/Ha+//joyMqL7zcwwDHg8Q58tciBer7fX34ny/r7T2Lq3ETAMyJIAVev/C8kXCEIQQrNlDkdA09Ha6YMsCXDaLUhPsyDdYYHbp8LlVc/5BWgA6HAF4PIEkOkM9RY47Qo63QEuGGcyhgH4AqEAGuq1AvQhfI66vCpefvsQJo1PBwC8/PbhSK9d+NWhakEEVA0r11Vj0vh0FBc6+2znaKMLK9dVwzCALKeCDlcAW/c2IjNNQZbTArdXw1/eOIQuT6BXl56uGxCE7lCmanj57cMADEiiiCynArd38Mc1G7N8towUti8k6gBkGIAeDP2JE0UEcjJsaO7wobnNhQy7iXs+dQmqqg74PT7U/ZrwkBMOI4888ggmTZoEAJg+fTouv/xyvPDCC7jzzjuj2q6qqti/f3/c6qyrq4vbtqLx4e4OGLoBUUT/x3J6iqFvTgsaaHf50ekJwGlXIss8eP0aXB4VWnDwb8OgDrR2+qBIArLSbcjNtMEXCKLTHTjnfek86u55gQAYw3haPF4VO3Yf6v53AIaBXq9JXQdgaPB4gR27D8Hdau+zjUMNXri9AaTbRfj9oQ9xQzcAQ4Pfb0ASDHj9oekOxLMDu9HdQ2lo8PhCk11mOyX4/UFIggGXVx/wcc0q0Z8tI220t2/u3LlRbdcwDOSnGzAQ30NKkhh6QxVmSRibbebDVTo6O1pw+kQH9H5+Cxvqfk14yMnMzEReXl4k4ABAQUEBysvLUV1dHfV2FUXBxIkTY67P6/Wirq4OpaWlsNsT98HZZZzGhn27YBjGuZdVHWhQyzDo3YecujwBOGwKnHYFjmwZfjUIl0c9Z++MGjTQ1O6NHL4oyLbD49fQ5Q4gOIzDaDRChO5eHADCWWOiBuOwK5hdNRkA8NqO7Qho/l4hRBQBCDIcdhGzqyb326OSluPCm7t2IGgAaTYZPjUAQVQBQYbVGurJsVtFaMFA3x5JofuwlSDDYQ+90IOGiDSbDLdXg8OOAR/XbMzy2TJS2L7YyLKEitIxcd2mLxBEuzv0y/+MiWMxIQneJ0Bs+yDhIaeiogInTpzoc7lhGBBjOMVNEIS4Hie12+0JPa687MJSbN7TiK17G6EFDYhi/2Ny7BYJfk2HKCAuYcIwQutcub0q7FYZToeC3EwbVE1HlycAX2DwsOMLBOFr9cBhlZDhtMJudcDtVdHl6ecLjM6Ls8fkBIM6/EMck/PJyyoxpSw0a+onL5sUGZMTztUWWYJFkXHDkorI7c42pcyBG5dOxKr1NehwqbAoMhZMz8GRhs7unyXceuUk7D7SFBqD1l2XJAqhQdySGHkMwOixHWnQxzWrRH+2jDS2L3rx3u6GXXXwB4IYm5eGSSX5o2Ih5oSHnGXLluGVV17BoUOHMHly6DfExsZG1NTU4KabbkpwdebywBfmx/3sKosiIMtuoO50AL6AjrwsG9LtFjQ0uyEKQG6mHS0dXmhBHXowCK8P6AwacNoVjM1zwCJJON3mgarrSLNZ0DjAqrkefxAevwdZ6Ur3TMwyutwBuH3aeTq7qreUO7sqzXHez65acUkFZk7Mj+rsqvB9Bzu7asUl5Xj3wzp8uLsGpRPGDnh21dnbIaK+XJ4A/vL6QQDANQtLR0XAAUxwdlUwGMTNN98Mt9uNf/u3f4PFYsGjjz6KlpYWvPbaa1El2VQ9u2okxNo+wzDgC2hwe88sG9Hh8uONrUexbsfxPmcGZKRZcFX3chFZ3YOTpRFcJoLPX3JL5falctsAti8W8fwOA0Kf0z//v21Yv6MBRXlp+NU3l8FmTXgfx3kR1bfLj370I9TU1MSlAEmS8Mc//hEzZszAgw8+iPvuuw95eXl4+umnU/KNkWoEQYDdqiAvy47cDBtsFhnZ6VZ88vJJeOiuRbj8oglQ5DMvs053AC+9dRgP/G4TVq0/goYmF8fpEBGNoOf/eRDrdzRAFAV86zNzR03AAaI8XLVy5Uo8//zzWLBgAT7zmc/g8ssvj2lSodzcXPzv//5v1PcncwgvG+FXg/D4VIiCgJsvn4yPzS/BP9+rx4aPGiI9O+Gw88/36nHVghJcOnc8sjNsSOMyEUREcbNyXTX+8kboMNVXPl6FycXZCa7o/IqqJ2fDhg343ve+h6amJtxzzz247LLL8Nhjj6G1tTXe9VESsioSstNtyMuyw2lXkJNhwy1XTMZDdy3CZRf237Nz/6Ob8Mq71TjR5ILXrw6ydSIiOhddN/Dk6r144u97AQCfvXoKrl1UluCqzr+oQo7D4cBnPvMZrFmzBk899RSmT5+OX/3qV1i2bBnuv//+yPFEGt2U7plp87MdyEizIC/TjluuHDjsvPjmYXz70Y3469vVONnkgj/AGZOJiIbLrwbxs2c/wCvvhqZh+ew1U/CpKyYnuKrEiPnA3MKFC7Fw4UKcOnUK3/72t7Fq1SqsWrUKM2bMwFe/+lVcdtll8aiTkpgkCnA6LJFJBa2yhFuvnIyrFoQOY63f0RCZKLDDFcALbx7Ca+/V4ZqFpbh8XjFyM2xQZCnBrSAiMr8Olx8/enIrDta3QZZE/NstF2DZ3AmJLithYj6txefz4aWXXsJdd92FrVu3oqKiAnfffTeCwSDuvvtuPProo/Gok1KAIAhw2BTkZtmRk2HD2Lw03HplJR66axEunTseco+zrDpcAfzljUO471fr8eKbh0KnqcdxDRciolTT0OTCfb9ej4P1bXDaFfzwKwtHdcABYujJOXr0KP7v//4Pr7zyClwuF5YsWYL/+I//wKJFiwAA99xzDx5++GE899xzuPvuu+NWMKWG8CBl1a7DYZPx6aum4KoFpfjne3XY8NGJXj07f3njEP6xpR7XLCzBx+aXICfDNqKnnRMRJZu9NS348VNb0eVRUZjjwPfvWIAJhemJLivhogo5d9xxBzZv3gy73Y6bbroJt912G4qLi/vc7tJLL8Vjjz0Wc5GUusLjdsLrZH366im4ekEpXusTdvyRsHPtolJcNb8EWRk2SKNkQisiooGs33Ecv/jzDmhBHZOLs/CfX1yArHRrossyhahCzrFjx/Cd73wHN910E9LS0ga83aRJk/CnP/0p6uJo9JAkEelpoXE7TruC266ZiqsWluC1zfXYuLN32Pnz6wfxjy11uHZRKT42rwTZGbZRM3snEVGYYRh4+e3D+NPa0HpUC6vG4pufngObZfTMg3MuUe2Jf/7zn0O6ndPpxLx586J5CBqlRFGA026JrH7++eum4epFJfjnlvpePTvtXX48/8+DWLu5DtcuKsNVC4qRnW7jHDtENCoEdQO//9suvLalDgBww5IK3L5iOnu3zxLVwIapU6di165d/V63Z88eTJ06NaaiiMKDlPOy7KgYl4XPXzsNP/7qQiybMx6ydOZNHAo7B/BvD6/Di28eQrvLhwSvVEJENKK0oI6Hn9+G17bUQRSAL99YhTtumMGA04+oenIG+xLRdZ2/TVNc2SwybJbQCuhfWO7ENQtLsHZLPTbtbIgs0tne5cdzrx3Aq5tqcd3FZbhmUQky0mwJrpyIKL6CQR3/8+yH2LL7JCRRwH2fnYvFs8YluizTivuBu7179yI9nSO6Kf7CZ2Q5HQq+lO/EtQtLsXZLXa+w09Yj7CxfXI5LZ4+BLPP4NBElP1038OsXP8KW3SehyCK+8/mLcNG0MYkuy9SG/On/zDPPRAYRC4KAu+++GxaLpddt/H4/WlpacNVVV8W3SqIerIoEqyLBaVdwR8GMAcPOs//Yj9Ubj2D+ZCeKJmjgeq9ElMye/cd+vP3hMYiigG/fdiEDzhAMOeTk5uZi0qRJAICGhgZMmDABGRkZvW5jsVgwefJkfO5zn4tvlUT9UGQJWU4JaTYFdxY4ce2iUqzdXItNO0/0OIwVwD+3tWLrwU24fkkFrllUCqfdco4tExGZy+ZdJ/Dy24cBAF//1AWYP2NsgitKDkMOOcuXL8fy5csBALfddhv+67/+CxUVFSNWGNFQ9ZxrZ0JBOq69uAxrN9Zi484TCOrdYccVwJ/W7sfqjTW4/pIKXLOwBGkMO0SUBE61uPHLv+wAANy4tAKXX9R3XjrqX1SDFZ599tl410EUs/BcO5X2HBTfFAo7q9Ydxnt7GtGdddDW6cczr+7D39cfwQ3dPTsOm5LYwomIBmAYBn73t13w+jVMLc3B56+bluiSksqQQ86JEyeQn58PRVFw4sSJc96+qKgopsKIohVeEHRKSQ4Kr5+OmRMk7D4exHt7Tkd6dtq6/Hj61X34+4Ya3LCkHFcvLIPDxgHKRGQuW3afxPYDpyFLIr5+ywW91vijcxvyp/rll1+OF154ATNnzsRll112ztPE9+/fH3NxRLEQRQF2m4TxeRYsmF2O65dMwtpNvQ9jtXb68NSafVi1vgY3Lq3A1QtLYbcy7BBR4hmGgT+/fhAAcNOlEzG+gGcuD9eQP83/+7//GxMmTIj8m3PhULLQNA12m4QpWTkoLgwdxnp1U2iAcs+w8+TqvVi57ghuXFqBaxaWwsawQ0QJtP3gadSd7ITdKuHGpRwDG40hf4p//OMfj/z7pptuGpFiiEaS2OMwVnFhOq67uAyvbqzFpl19w86q9Udw45KJuHphCcMOESXEOx8eBwBcflEx0h08USIa/PSmUadP2FlcijUba7F518lI2Gnp8OGJ1Xuwcn01blxSgat4GIuIziMDwNa9JwEAS+eMT2wxSWzIn9orV64c1oZvvPHGYZZCdH6dCTu5KC7MwPLFZVizsRabdp2E3ivs7MXK9aHDWFctYNghopGnaTp8gSAynRZUFmcnupykNeRP6/vvv3/IGxUEgSGHksbZYefai8uwdlM/YefvZ8bsXLWgBHYrTz0nopGhajoAoLI4h2NgYzDkkPPWW2+NZB1ECRcOO1NLc1FSmIFrF4UGKG/ePXDY+dj8Es6zQ0RxF9RDIWdCoTPBlSS3IYecceO4yimNDpIoID3NgqlluSgZk4HrLi7Dmk212NJP2FnVPanglfOKOYMyEcVNeHxgToYtwZUkNw4uIBpAJOyU5qC4MCNyNtaWPWfCTnP7mbBz/SUVuHJ+MdfGIqLYdc/SrihSYutIclGHnLq6Orzwwgs4cuQIfD5fr+sEQcAzzzwTc3FEZiBJIjKcFkyzh089L8Wrm+pCPTvGmbDz5Oq9oRmULynH5fMmIN1hTXDlRJS0uofh6EE9sXUkuahCzqFDh3DLLbegoKAAR48eRWVlJdra2tDY2IixY8dGJg0kSiWSFFoIdGpZLorHZODaRaV4dXMt3tt9qkfY8eKJ1XuxakMNViwuwxXzQvNbcOAgEQ2H2P2Z0dblT3AlyS2qRTAefvhhLF68GK+++ioMw8CPf/xjrFu3Dr///e/h9/tx7733xrlMIvOQe4Sdr35iFn70lYVYNHNs5EMJCIWdp9bsw70Pr8Mr7x5BR5cvcoydiOhcJDH0eXKyxZ3gSpJbVCFn3759uPHGGyGKobvr3aPAly1bhi9+8Yt4+OGH41chkUkpsogspxVTy3Jw100z+w07Te1ePLVmL77xy/VYua4a7Z0+BNn9TETnoMih79eD9W0JriS5RRVyOjs7kZmZCVEUIcsyOjs7I9fNmDEDe/fujVuBRGanyBKy022oLM3Bl2/sDjtVfcPO02v24Zu/Wo+V64+gtcMbmQeDiOhsiixBFIDGVg9ONrM3J1pRhZzCwkK0t7cDAEpKSvDBBx9Erjt48CDS0tLiUhxRMrEqEnIzbagsycaXb6zCD7+yYMCwc9+vN+Dv64+gud0Df0BLYNVEZEaCAMyclA8AeHfbsQRXk7yiGng8Z84cbN++HVdccQVWrFiBRx55BE1NTVAUBa+88gquv/76eNdJlDSsFhlWiwyHXca4/HRcs6gUazfXYeueMwOUm9q9ePrVfXh1cy2WX1yGxbOKkJ5mgc0ic5AyEQEALrtwAj461ITXt9bjk5dPgiLzdPLhiirkfPWrX8Xp06cBAHfeeSeam5uxevVqAMA111yDb3/72/GrkChJ2a0K7FYFaXYZ4/KdobOxNtXh/b09wk5baIDymk21uO7iMlw8cyzSHRY4bArDDtEod/HMIjzz6j40d/jwz/fqsXxxeaJLSjpRhZzi4mIUFxcDACRJwve+9z1873vfi2thRKnCblVgs8hw2BXcmRcKO2s312Lr3lPozjpoagsdxnq1O+wsqhqL9DQLHFYFosiwQzQaWRQJt1wxGb/96y48/8+DuHhWEbLTOQPycEQ1JoeIhkcQBKTZFORl2TFpQha+dMMM/NedC7Fgxhj07LAJh53v/X4zXn+vHidbXehyB3hGFtEodeX8EpQVZaDLE8Dv/roLhsGpKIYjqp6c3/zmN4NeLwgC7r777qgKIkpl4UVA7TYFDouCL10/A9csKsM/zurZOd19GGvt5jpcu6gU82eMgdMeOowVPrWUiFKfLIm499Y5+OYv12HL7pNYtb4GNy6tSHRZSYMhhygBJFFAhtMCh12GzSrjiyv6DzuNrZ5eYWfe9DFIsytw2BRYuaYN0ahQPi4TX1wxHX9ctQdPrd6D8QVOXDi1MNFlJYWoQs6BAwf6XNbe3o4333wTzzzzDB577LGYCyMaDWQpNKFgmk2GzSpFws7aTbV4f9/AYWf+9DGwWWWI0CHLXGeXKNWtuKQc9ae68PrWevzk6ffx4B0LMKv7FHMaWNz6vbOysvDJT34SK1aswEMPPRSvzRKNCuEJBXMzbSgdm4EvXT8d/3XnQsyf3nvMTjjsfP+P72Hdjga0tHvR6dXh9QcjK6MTUeoRBAF33TQTF04tREDT8cMntmJXdVOiyzK9uB/cr6qqwpYtW+K9WaJRwaJIyMmwISfDhpIx6fji9dPx/TsWYF5/YWf1Xvzk2R3YUd2O1k4vmto9HKRMlMIUWcR3Pn8R5kwpQEAN4vuPvYeNOxsSXZapxT3kHDx4EA6HI96bJRpVrBYZuZl2ZKdbUVyYji91h52ze3ZOt3nxxo5O/PTZj7B510m0u/xoaveiw+WHqgUT1wAiGhEWRcJ3vzAPC6vGQgvq+J9nP8TKdUd41tUAojqYv3Llyj6XBQIBHDx4EH/961854zFRnITn2PH4VEiigNtXTI/MoPzBvt5nYz25ei/Wbg7NszN3SiE8Pg0WRYLTHpqBmYhSg0WR8O3PXYTHXtmFtZvr8MTf96CmoR1333wBT0g4S1SffPfff3+/l1utVlx//fX4j//4j5iKIqIzBEFAmt0Cm1WB26NCyhfwxRXTce2iUvx9fTW2H2yO3PZUiwdP/H1vZFLBuVMK4Vc1WGQJDpsMu5XLRhClAkkMjdEpynfiydV78c624zja2IUHPj8PBTk8mhIWVch56623+lxmtVqRl5cXc0FE1L/waed2mwyXN4CivDTcdvVkTB1rYP9JATsONiPcYd1f2AloQbi9Kuw2GXarAokzKRMlNUEQcMOSCpQVZeBnf/oQR4534Bu/XIdvf+5CzJzIM6+AKMfkjBs3rs8fBhyi80ORRWSn25CTaYfDKiM/y4rbrp6MB+9YgIumFaJndAmHnR8+8R7e33sKvkAQna4Amto86HQFoGocpEyU7GZOzMcv7l2KivGZ6HQH8J9/2MJxOt2i6smZMmXKkLu8BUHAvn37onkYIhqEVZGQlW5FVroVVkVCUb4dX7p+Bq5dVIa1m2vx4b7GQXt2uvQA3D4VNqvEyQWJklxBjgM/u+cSPPrSR3hn23E88fc9qD7Wjns+NQu2UTwmL6qW33333XjllVfgdrtx2WWXIS8vD01NTXjnnXeQlpaGm266Kd51EtEABF1DbqYNhiDD7dVQlJd2zrCzdnMdrru4DHMqC+DxGfD5Q4OUHTYZNgvH7RAlmmEAp1s9w77fZ66agjG5aXjhjUNYt+M4ak504OufugA5Gcm/sKfDJsPpsAzrPlGFnLS0NOTl5WH16tVIS0uLXO5yuXD77bfDZrPhjjvuiGbTRDRM4S7pNLsFdqsCt1eF26di7CBh52SzG4+v2oOxeWmhsDOlAHogCL8ahCKp3YOUuQI6UaLohoED9a1RHVIuzHHgpksr8OqmOhxr7MJ/Pf4ebrikPKkHJCuyiCklOcMOOVGNyXn++edxxx139Ao4AOB0OnHHHXfg+eefj2azRBQjURSQnmZBfpYdTntocHE47PznHfNx4dTeY3bCYedHT2zFh/sbEdQNBDQdHa4ATndPLqhxckGihFA1Peo/hTlp+ORlk5CTYYPbq+LFtw6jpqEjpm0m+k80ogo5jY2NkKT+j99LkoTm5uZ+ryOi80OSRGQ6rcjNtMNhkyEKAorynLjjhsHDzkNPbMW2A40IGgaCQQOdngCa2r1od/kRUDm5IFEyyUiz4KZLJ2JCgRNaUMerm2pxrLEr0WWdV1GFnIqKCjz99NNQVbXX5YFAAE899RTKy8vjUhwRxSZ8JlZupg02iwxRwJmw86X5uHBqQa+wc6LZjT+uPBN2dMOArhtwe1W0dHjR0uGDL6AlrD1ENDxWRcJ1i8tQOjYDQd3A2s21ONXiTnRZ501UY3Luvfde3H333bjiiitw5ZVXIj8/H01NTXjjjTfQ3NyMRx99dMjb+tvf/obvfOc7fS6/8847cd9990VTHhGdxaJIyM2U4A9ocHlU+LUgivKduOOGKly7yIVXN9Vi+4HTkTE74bBTlB8aszO7sgCAAF9Ag1/VoEgiHHYFdovMcTtEJieJIq5eUIJ/bKlD/aku/HNrPW65YvKoOOsqqhYuW7YMjz/+OH7xi1/g+eefh67rEAQBM2fOxE9+8hMsWrRo2Nt8/PHHkZ6eHvm5sLAwmtKIaBBWS2iJB69fhcujQg3qKMp34s4bq9DQ5MLaTbXYduB05PYnmkJhZ1y+E9ddXIYLKvMhQkBA06G6/HCJKhxWGQ6bDEmK+1J4RBQnkiTiY/NL8MKbh9DpDmDd9gZctaAk0WWNuKhj3MKFC7Fw4UJ4vV50dnYiIyMDdrs96kKmT5+OnJycqO9PREPXc00sl1dDMKhjXHfYubbpTM9OWEOTC4+t3N0n7GhBHZ2e0Hw79u6wo8icb4fIjCyKhKsWlOCltw6j+ng75nUVIjs9+U8tH0zMfVV2uz2mcEOx2bLrBOpOdaJ0TAaK8p1oavdCVYNQFCnyd36WHSVjMwAA9Sc70dTuRcPpLnj8Gsbm2JAuAO/vO42Trb5e23ltSy1OtXhgkUUUFTgxaXwWblg6EU+t3oNDx9oxeUIWNu8+geZ2H2wWCXOnFuKjQ6fh84cGqGY6rSgryoDTrmBXdTPaunyAIUA3DIiiAC0YOjhiVUQUF6ajodkNj+/MeA8BQM/5Oguy7SgrysCB+lZ0ulX0nMzTYZOhakEosoRxeWmoO9UJVet57+P49FWV+Ovbh+FXdTjtMsqKMnG0sQsdrkDkVrJ0pi4AcNpluLznHoMiCoA+yOSiggBYZBF+te8ZAmffN9OpwOcPQtcNiIIATdeh64isPm6zSshIs8AfCCIQCMJmBSZ+FEBWuh1HT3WitcuH9i4/BAHISrdifEE6LLKIdIcVHp8Kh01BptOCjw6HnqvZk/MxrTwX72w7jlPNLowvyMBFUwpRWZyFrXsaUXOiI1JbOOyIQugDc0pJNiZNyII3EITDKmF8QTpcngDaXAHYLTLmTR8DAGhq9yI/y97r3yeaXHhtSx38ahALq8bigskFkevCr9ejjS68f6gLRzuPYc6UsSgZmxF5DQ/2OgfOvNbPvjyeonmM8H2ctvgc5uv5GbBwZlFctkmpqyDbgdKxGag72YndR1qw5IJxiS5pRAlGgud9Do/Jyc3NRVtbG4qKivCpT30Kd9xxx4BncJ3L7t27AQBVVVUx1+fxeLB//35MnToVDoe55hj476e3Yuvexsg8KYokQpJE+NUgRAA6QoPOMtIsuGFJaDD4qvU1aGn3Quv+VhVFAQ4L4AmcmW9FkUUE+vkyBvoGD0oNdquMjDQLJFGAx6eh0xOAKABB3YAkCdC0oT/rogA4bArS7ApkSYAgAAFNh8erQRBC3eYer4rAWaeEigKQ4QzN3hx+vT7/zwNw+zQIANLsCmZU5KKmoROd7kDodd4dEC1y6GyyG5aUY8UlFVi94QhWra+BXw1Gtrfikop47rKoHqPnfSyygDnlVtx+47yoP1t6fgYIgoD50wvxwBfmR7WteDPzZ2c8jGT7du/ejaBuoCWQNSJLrxw+1obXtx7FmFwHPnHppLhvfyQosoiqirxhz/WT8FFH+fn5+NrXvoZZs2ZBEAS8/fbb+OUvf4nGxkY8+OCDUW/XMAx4PMOfLfJsXq+3199m8f6+09i6txEwDEjdvSIBTYeg6YAAaEYokARUDQFVxMtvHwZgQNP0SMABAF034PKFbitJgBbEgAEHYMBJVV6/Bq9fQ5pNRnqaBXabAy5PAF0eFcFhBBwgFDpcXhUub+gQltOhID/TimYAbo8KRTL6BJzw/QTo0HUBL799CFrQgKc74AhCaJtb95yC0y4joGowDKD75Q4tqCOgali5rhrpdgkr11XDMIAspwK3N3T5pPHpKC50xmV/HW10Dfsxzr6Py6PivQMuLK5vxqSS4a/91/MzQJYEBIMGtu5txLsf1mHetIJYmxgzs352xstQ2xd1ADIMQA+G/sSZ0xbqQHB7VUBPkrMldQmqqka+14e6XxMeci655BJccsklkZ8XL14Mq9WKZ555BnfddRcKCqJ7s6qqiv3798erTNTV1cVtW/Hw4e4OGLoBUUSvRdgMhOYFMBD6YjAMALoGT8CAAWCw5Ym4lhu5fRo8fg3pDgucDgvSbAo63AF4/dF9EIbDkxpQIUkyMp1WSKKBgGbA41P7HOLz+jRkOQ10eYMIhnsbBQACYOih17UeDMIwzvQqCkIorMPQ4PECH+6ugdsbQLpdhN8fhCQYcHl17Nh9CO7W+BxaP9TgHfZjnH0fWTTgCxrYd/goNE/TsGvo+RkA48x++HB3DdKFlhhbGD9m++yMt3O1b+7cuVFt1zAM5KcbMBD/sxeb20LvZ6dNwtjsZDk7UkdnRwtOn+iArutD3q8JDzn9ueaaa/Dkk09i//79UYccRVEwceLEmGvxer2oq6tDaWmpqcYedRmnsWHfLhjd41vCfSw9DycZBkIfgKIMhz10jabpAPr/wuJyRQSEXjed7gDcXhWZTity0q0I2BV0uPz99sAMhSAKaO3yQRYFjMl1ID3NgvQ0Czw+FW6vGhkHZbfJCBoSHHYRWtCAy6N29/CEXp8CAFGSIAhaJCAZBiBJAiDIcNhFXFhVjv0NBxE0gDRbaD0vhx2YXTU5bj05aTkuvLlrx7Ae4+z7uDwqZMnAtEnFUfXk9PwMgBgKgYIo4MKqckydao6eHDN+dsbLSLdPliVUlI6J+3YB4M0drQCACybnY1Lp2BF5jJEzvH1iypATD4IgxPU4qd1uN9Vx5WUXlmLznkZs3Ruail8Qeo/JkYTQmByLIsGiyLhhSQUAA6vW18DjC/Y7JieyHY7JIYReG+0uPzSbDJtVRl6WHb5AEJ1uf6/B2edikUOBxW6RIQhAhzsAv1+DxSIjza4gzabAFwjC41MBiBBFER9fNgmAERmTAwNw2hVUVeTiSEMn1CBCr3MxdJhLkcTI63zZhaXo8gaxan0NOlwqLIqEG5ZUYEpZ/L74p5Q5cOPSicN6jLPvo8gCFk5xYlJJXlSfLT0/A7RgaEzOguljsOzC0hhaFn9m++yMt5Fs30hst/5UJ9Z/dBIAsGROcUo/N4BJQ87atWshSRKmTZuW6FJM7YEvzB/22VUzJ+b3c3ZVC7qM3BQ/uwqpfXbV+Nyozq7qcquYVpaD+dPH4rX36tHh8mHi+GzMnVLQ5zW050gTDh1vR1uHD42tXri8AVSMy8LE8ZnwBoLw+zUcOdGJmoaOXu0LaDoynBZcOncCKouz0e7yIzvdhtOtHmz46DhEUcBF08agamIe3F4VORk2FI8JvV4njU/HO+/tw5gxY4d1dtWKSyoir/WROrsqmsfoeR+nTYC79VhMNZz9GcCzq2gwqhbEoy/thK4bWDBjDGZUDL8HMdkk/OyqL33pS1iwYAEmT54MAHjrrbfw4osv4nOf+xweeOCBqLY5Ws6uige2L7klqn1+NQiXJ3SG09mfIMcbu7BmUy0+OtR3nMmEwnRcd3EZZk3Kg3DW8VEBod6j0Hw7ChRZTOnnL5XbBrB9sYjnd1iYYRj43//bjnU7jiPNJuMX31iGsXlp57xfskt4T05ZWRlefvllnDp1Crquo7S0FA888ABuu+22RJdGRAOwKhKsmfYzMydreqTXbXxhOu66aSaONXbh1bPCzrHGLvz+b7swoTAdyxeXYebEM2HHQOiQqcurwuPTYLNKEA0dspzwjymipKbrBv7wyi6s23Eckijg/s9fNCoCDmCCkPO9730v0SUQUZTCMye7faFTxoM9DvVN6A47R0+Fws7Ow73Dzu/+2n/YAQDdCJ0+7vf74PYb8AV02O1Gn94fIhqcFtTxq7/swLvbj0MQgHtuvgAXTE78wPTzJeEhh4iSmyAIcNotsFvkSC+M3uMYVvGYdHz1E1GGHd1Al9uH9i4fgoYIu02G3apA4qKgROfU4fLjf579ELuqmyGJAr756TlYMnt8oss6rxhyiCguJCk067DDJqPLo8IX0HqN1+kddmqw83Bz5Lpw2CnuDjtV/fTshBYFDcDlVeGwKHDYZchcFJSoX0eOt+O/n34fp9u8sFsl/MdtF+HCqaNv4WuGHCKKK0WWkJMhwRfQ0OUOQA3q/YSdWTh6qrO7Z+dM2Dna2IXf9gg7E8f1HjdgAAgGDXR5Q4uC2qwSHDYF1sFmuSQaZdZtP45fv/gRAmoQRXlp+O7t8yJnLI42DDlENCJsFhlWRepe6VztM7dO8ZiMSNhZs7EWu6r7hp3xBWmYVaKgvLzvSaDhcTs+vwaLIsHRfSiLaLQK6gaeeXUfXnm3GgAwd0oB7vvshXDaR+/7giGHiEaMIAhIs1tgsypwe1R4/GpkuYaw4jEZ+NdPzkL9qU68elbYOX7ajeOngZ31u3D9komoqsjtM/hYNwBfINh9WrsaCTsix+3QKOLyBPA/z36IHd1nM958+SR85uqpo378GkMOEY04SRSQ4bTAbpPh8gbg82t9Jk8sOUfY+e3LO1EyJh3LF5djRj9hxzAQGbfT5VWRZlXgsMmQOG6HUtyxxi489ORWnGh2w2qRcO+ts7F41rhEl2UKDDlEdN4osojsdBv8toEnE+wZdlatq8a+2rbIdfWnuvDoucIOQuN2Oj2hcTuhyQVlKDLH7VDqeX/fKfz8uW3w+jUUZNvx3dvno3xcZqLLMg2GHCI67wabTDCsZEwG7rx+KjZvO4C9DUb/YWdsBpYvLsOM8r5hB+g9uaDVIiHNJsNq4cceJT/DMPDy24fx7D/2wzCA6eW5+M7nL0Km05ro0kyF73YiSpjBJhMMK8xSsGhuBRrbVby6sQa7j7RErqs/2YlHXzp32NENA16/Bl9Ag0WWYLfJcFhlTi5ISUnXDfxx1W6s2VgLALhmYSnuvLEKisxDs2djyCGihIpMJmhV4PIE+kwmGFY6NgN333wB6k52Rh12DCO07lZA6x6k3H0oi+N2KFkEgzp+9cIOvLPtOADgyzdWYcUl5QmuyrwYcojIFCRR6DWZoD/Q/+rvQwk7pd1hZ/ogYUcL6hy3Q0nFMAw8+vJOvLPtOERRwDdunY1lcyckuixTY8ghIlMJTyboD2gIaipkqf/gEQ47tSc6sGZjLfbWnAk7dSc78ZuXdqKsKAPLF5djWlnOgIemOG6HksUzr+7DG+8fhSgA377tQiyaWZTokkyP72QiMiWrRUZOhhVZ6VZYFAkC0GdwMgCUFWXia5/qP+zUnujEIy9+NKSwEx634w9oUOTw5IIct0Pm8M62Y/jrO6FJ/r72qQsYcIaIIYeITE0wNORm2KAjNED57MkEw+IXds4at2PnoqCUWPXdPZMAcMuVk3HFvJIEV5Q8GHKIyNQMw4AgAOkOCxy2/lc67yleYccwADWoo9MVgMsTHrej8AwWOq+CuoFfvbADATWI2ZPz8S8fm5LokpIKQw4RJY3wSud2a/fgZFXrM5lgWDjs1DR04NVN/Yed8nGZWL64DFNLBwk76D1uh4uC0vn02pY6HD7WDodNxr3/Moc9isPEkENESceiSMjNDK107vKoCGh9Z04OKx93Juys2ViDfbWtketqGjrw6xeGFnaA/hcFtVk4bodGhl8N4i+vHwQA3HbNVORk2BJcUfJhyCGipBVZ6dyvwe1RoQb1AW9bPi4TX79ldpzCzplFQRWJi4LSyHhzaz3aXX4U5Dhw9cLSRJeTlBhyiCipCYKANJsCu0WG26sOOjgZGFrYqRifieWLyzGlJHvQsNPfoqB2mwyZkwtSHKzdUgcAuGlpBV9TUWLIIaKUIIoC0tPCK52r8A4yOBk4E3aOHG/Hq5tqe4WdI8c78Ku/7Bh62MGZRUFd4ckFrTIsHLdDUdKCOo6e6oIii5zwLwYMOUSUUmRJRFb34OSBVjrvqWJ8VtzCDhBaV8jtVeH1qbAoMtLsoXE7RMPhDwQBAHMqC5BmVxJcTfLiO4+IUlKflc6D+pDCTvXxdqzZWIsDdX3DzsTusFM5lLBjAL6ABr+qQZFEOOyhQ2oct0NDEVC7Q86UggRXktwYcogopfVc6dztVaH1s9J5TxPHZ+HeW2ej+lg71mzqHXaqj3fgl3/ZgYnjs7B8cdmQws6ZcTt+uMQAHFYFDhs/emlw4UH008tyE1xJcuM7jYhSXs+Vzt0eFR7/4IOTAWDihFDYOXysDa9urMWB+rbIddXH26MKO1r3uB23T4VgaJBkS1zaR6nHMEKHXscVOBNdSlJjyCGiUUMSBWQ4w4OTA/D5NZwj62DShGzc+y/ZcQs7QGhyQa83gLYuPzpcAUiyhYuCUh9F+Wk8qypGfFcR0aijyCKy023wW0OTCfoHmUwwbChhZ9KEUNiZXDy0sBNQNbh9KoxOHyxcFJTOkp9lT3QJSY8hh4hGLatFhtUinxmcrOn9rnTeUyTsHG3Dmo21OHj0TNg5fKwdv/jzmbBTWZIzpDqMsxcFtcmw27go6GiXlW5NdAlJjyGHiEY9u1WBVZHh8alwec89XgcAJhVn4xuf7g47m2pxsH6gsBM6G2soIouCugNwebko6Ghn5yHMmHEPEhEhNJmg02EJza9zjpXOe5pUnI1vFA8WdrZjcnEo7EwuHmLYQT+LglpljtsZZawWTiYZK75jiIh6GM5K5z2Fw86ho6ExOz0PYx062o6Hnw+FnRWLyzFpiGEHOGtRUFmCneN2Rg2blV/RseIeJCLqR8+VzrvcgXNOJhg2uTgbkz+djYP1bXh1Uw0OHW2PXHfoaDv+9/ntqCzOxpXzioZVj24APjUIP8ftjBp8bmPHkENENIjISufd43XONZlgWGVJNipL5vYbdg4ebcPBo20Yl6vg47Y8zJg49LNoOG5n9NCHMDaMBseQQ0R0DoIgIM1ugc2qwOUJwOPXhvwF1DPsrNlYg8PH2iPXNbSo+M3Le1FZfALLF5cN6zAWx+2kvqEMgKfB8d1ARDREkigg02mFw6YMeTLBsDNhpxVrNtb2CjsHj7bh4PNtqCzJDoWdCUMPOwDH7aQqhpzYMeQQEQ1Tz8kEuzwqAkOYTDCssiQHk4uzsftwI1a+ewgnWtXIdQfr23Cwvg1TSrKxfHE5Jk7IGlZdHLeTWjw+9dw3okEx5BARRclqkWFRJHj8GtweFVrw3JMJAqHDX5MmZOLjC7NhWPPx+vsNqD7eHrn+QH0bDtRvizrscNxOauh0BRJdQtJjyCEiioEgCEizKbBbZLi9Kty+oU0mGL7vxAmZqJpUGBmzU328I3J9JOyU5mD54jJMHJ81rNo4bie5dbj9iS4h6fGVTkQUB6IoID0ttPhnl2d443UEQcCU0hxUlmT3H3bqWnGgrjXqsAP0HbfjsMuwWThux8w62JMTM4YcIqI4kqXhL/4ZdnbYWb2xBkf6CTtTu8NORVRh58y4HVnkuB0z62RPTswYcoiIRkA0i3+G9Qw7B7p7dnqGnf11rdgfY9jhuB3z63QHYBgGe9tiwJBDRDSColn8M0wQBEwtzcGU7rCzekMNahr6hp1pZTlYvrgc5eMyh10fx+2YlxY04PZpcNqVRJeStPgqJiIaYf0t/jkc5wo7+2pbsa82trADcNyOmYR3eafLz5ATA4YcIqLzpOfin4auQpGHt8p0z7Czvy40qeDIhJ0z43YUSe2eXJDjds4nsTvldLgCKMpPcDFJjCGHiOg8sygSspwWZKVbu3tKMOTByUAo7Ewry8XU0hzsr2vF6g01qD3RGbk+XmHHMICApkN1BeDycNzO+SR2B0qeRh4bhhwiokTRNeRkWKELoTl2hrr4Z9hQw8708lwsX1yGsqIoww44bud8E3r05FD0+AolIkoQo7v7xmm3wG5V4BnmZIJhPcPOvtpWrNnYO+zsrWnB3pqWmMMOwHE750v4cBVPI48NQw4RkQlIMUwmGCYIAqaX52Ja2fkIO5xvZySJ3UcETza7cbrVAwBw2GQ4HZYEVpV8GHKIiEwklskEw85n2Blovh2KjYBQWDzW2IXdR5qhyCKmlOQw5AwTQw4RkQmFJxP0+FS4vcObTDBsqGFnRkUurrs4xrCD3uN2BEOFKDHsREvo7snx+DSomp7YYpIYQw4RkYk5bApslugmEww7O+ys3lCDupNnws6eIy3YcyQ+YQcIjdvxelW0dQXQ1uUHRAV2K8ftDEd4TI43MLw5lag3U4Uct9uNa665Bo2NjXj55ZdRVVWV6JKIiBKuv8kE9eEew0LvsLO3pgWrN9aivp+wU1WRi+sWl6N0bEZMdauaBq9fg+Dyw+XhuJ3hCAdCfyCY4EqSm6lCzm9/+1sEg3xCiYj6E55M0GGT0eVR4Q8Mf3AyEPoCnVGRh+nludhT04I1Z4Wd3UdasDuOYYfrZA1fOAcGVH4nxsI0r7AjR47g+eefx9e+9rVEl0JEZGqKLCEnw4acDBusioRojwIJgoCqijzc/7kLcffNs1ByVpjZfaQFP33mAzz60ke9QlC0eo7baW73oq3LBz8Px/Qr3JMTUPXIVAM0fKbpyfnxj3+MW2+9FWVlZYkuJaXVn+xEU7sX+Vn2Ph9o8dzuYI8Tvk5Vg1AUCflZdgAYdl3h7TSc7oLHr8FhlTGuIL3XNo42unCowYu0HBemlDmwZdcJ1J3qROmYDBTlO4dcc/h+Pr8Gm1VG6ZgMLJxZ1Gd7e2ta0NLhA2AgN9OO6eW5/bZny64T+OhwE9q7/JBEAWPznFgye9ygbR+ovsZ2Fb5DTRBFpc/+7LmPh7JtVQ2GxlAAfWo/1236e14H2q/Deb309zyE9/9g+2Wo+zDaWszAapFhUSR4/BrcHhVacPiDk4EzYWdGuGdnQw3qT3VFrj/Ts5OH5YvL4rJfes23o0hw2DjfTk/h3aAbBvRouusIgElCzmuvvYYDBw7g17/+Nfbu3ZvoclLW6g1HsGp9DfxqEFZFwg1LynH53LFx3275uAzUNHT2epwVl1T0um2Hy4+ApsOqSJBEAYIQ6oo/+/bnesyWdi+0Hh8AiiwiJ8OGG5aUAwBWrquG2xvAm7t2wGFTcLTRBcMwYBiAVZFgt8nnrPm/n96KrXsbe33QiKKAzDQFHW41sj1ZEhAMGpEvGQFAml3Bp6+q7NWe/356K97bc6rPacEr11fjC9dN67ft/T13Ky6pwD+21GPlumb41GYENB0WWYQsiRAEQNX0yD7OSLMMuF/D2+50B+ALaDCMUFe5w3am9p7Pm18NAkboQzh8GwCRbfjVICxy6LBKf/s1fNuhvF56Cj8PhmFAEATMn16Iqoq8fvfLYK+ZeNRiJoIgIM2mwG4JzZoczWSCPbcVCTtHWrBm49lhpxm7jzRj5sQ8XLe4DCVj4hF2AF8gCL8aWifL0b1OlshxOxHMONFLeMjxer346U9/im9+85twOp1x265hGPB4PDFvx+v19vo7WR1tdGHlumoYBpDlVOD2ali5rhrFeaFTPKNt39nb7XAFsHVvIzLTFGQ5LZHHmTQ+HUAodKiaDi2oA4bRq6t6bK4DAU2P3L64sP/XQ/gxfX6tV8ABQl/sXr+Kl98+DMCAKAhIt4tw+4M43eaDAECSAC0I+NUgMp0KAqo2YM2nWjyRL9aedN1AW1cgFM7E0PbOnpLfAODxqXj57UOR9ry/7zS29hNwgFC39F/eONin7QM9d+l2Ca9uqkcwaIROMTVC7Q+HEFEMLYgUUDUEVLHf/Rretqrp8HcHHACAAHj8Gl5++xDS7VLkNqqmR24jdt/mL28cgCxJMLofCwagBXV4fX1fCy+/fQiAAEkUzvl6KS50Rl6XG3ccw9a9jYBhRMLke3tOYW9NK6yK2Gu/9Pfa6W8fDreWeBuJzxZJANKsgNurwePXYuoBmDguDf/2qRnYV9eG1947huOn3ZHrdlU3Y1d1M2aUZ+Nj8ydgQkHf/eP3+Xv9PVSdLkCWwj07kmkHKQ/1+XM4HDE/lqGrgC5AVdW4fK+lgqHu14SHnN/97nfIzc3FTTfdFNftqqqK/fv3x217dXV1cdtWIhxq8MLtDSDdLsLvD0ISDLi8OvYdPorJ4+xRt+/s7UIPwtANwNDg9xuRx9mx+xAAwO0NwCKHQoIgALqOUJeHAXh9flgUIXJ7d6t90McUBuiYD2oaAoFQyMh2ShAEAXowFKbOXgjR4w1AkTBgzQ0tgdB1AzEGX1jRAODxqpH2fLi7Y9Dfyrw+tU/bB3ruPtxdA49fhUUK1SAIoa5thP6DbhgQw+3VNXi8GHDbFgm996YR+p/Hq+LD3TVnnrcejTW6b+P1aZDEIOwW4UwdugE9/FrQz+zXLm9oEGWWUzrn66VnnbsONcDQjdAssJHHALx+FQ6L1Gu/9Pfa6W8fRltLvI3EZ4skSTAgwRsIwutXoWnRD161AbjhojTUnVbw/iEXmjrO/GKyp6YNe2raUFZoxUWT01CQ2XdenOMNx6N6XFEUIMsy7BYZVosII6iacmzKuZ6/uXPnRrVdQz8zN05hpgCbRUdnRwtOn+iArnPenKHu14SGnIaGBjz55JN49NFH4XK5ACCSUj0eD9xuN9LS0qLatqIomDhxYsw1er1e1NXVobS0FHb7yH3QjbS0HBfe3LUDQQNIs8lwezU47MC0ScXQPE1Rt+/s7frUAARRBQQZVqsl8jizqyYDAN7ctQOqpkMU1UjQAQAIgN1mRUDTI7cf6Lfn8GP6/BqAvoMWJVmGVQp9G2q6AFkMQpRkAGroUEyP4fYOuwWqpg9Y89gWDzbs2xX6cO3v81XAoIM+BQAOuxJpT5dxGhv27hww6NhtSp+2D/TcXVhVjn3HDsDnVyPhTRQE6DAgdP87dGgHgCjDYREH3Laq6RAQONNEIfQ/h13BhVXl2N9wMPS8CSqC3V80ggAYEGC3SZGeHEEIdO9jAaIoQRCDgNhzv4oABAQN4Zyvl3BPTl1dHWZOHocN+w6GngcRMPTQ49utCoKG2Gu/9Pfa6X8fDq+WeDtfny2+gA63N4BAFDMn9zRxInD5QgN7a9vwz629e3ZqG/2obfT36tnx+/w43nAc48eNh9VmjakN6Q4L0h3mmlhwpJ8/WZYi/64oLuwxi/SYuD9WKktoyDl+/DhUVcWXv/zlPtd97nOfw6xZs/Diiy9GtW1BEOLSTRhmt9vjur3zbUqZAzcundg9rkKFRZFww5IKTCrJw/79TVG3r+92ZSyYnoMjDZ29HmdKWQEARG6rSEH4jd5jcjz+YJ/bn+sxPb5gnzE5dquCG5ZUADCwcl01XF4dDrsFuZk2HG10RcYrWBUJqmYMWvOUMmDznsY+h6x6jskJb6+/MTkOm4JPXlYZac+yC0uxeU9jv2NyLIqIW6+c0qftAz13yy4sRUuHFyvXHYFFluDvHpMjdY/J0TQ9dJkiwaLI/e7Xntu2WvTImBwYoXVyPnlZJZZdWIoubxCr1tfAIgfh6z4cZnTf5tYrpwAwQtcrevfYChF2mwXTKzJR09ARqfvjyyZFbjuU10vY4tkT8OHhdmzd2wgtGBqTs3D6GMyoyO2zX/p77fS3D6OtJd5G+rPF4QCyMoyYJhPs6aLpDlw4rQi7q5uxZmMtjjaeGbMT7tmZNSkPV1wYGhhutVljDgFWmwKHI7agNFLOx3dDVmY6ZMk0J0MnFcFIYP9fZ2dnn0NK+/fvx09+8hP84Ac/QFVVFaZPnz7s7e7evRsA4jKZoMfjwf79+zF16tSkDjlhZ585Eq/2mfXsqgO1p7Fj9yHMrpqMKWUFKXd2lcfjwbtbdiEzd2xKnl119uszlc6uSsRnSzCoxzSZ4NkMw8Cu7rBzrEfYCSsrtOKmyyoxqSQ/psdJsyvIcpor5Izk87d7924EdQP/+adayJKAV/7n+rhufzRJaMjpz9atW/G5z30uphmPGXKGju1Lbmxf8kpk21QtCJdXjWql8/6cK+zMmpSH6y4uR/GY9Ki2PxpDjhY08OCztUizK/jLQ9fGdfujScIHHhMR0fmlyBKy06WYVjrvSRAEzJqUj5kT87DzcDNe3dQ77Ow83Iydh5sxa1I+li8uw4TC6MLOaBLuf3DY+DUdC9Ptvfnz5+PgwYOJLoOIKOWFVzr3+lW4PNGtdN6TIAi4YHI+Zk3Kwwd7T+Dv66vR3Hnm5ICdh5uw83ATLpicj+UXl2E8w86Awqf/m60HK9mYLuQQEdH5ZbeGVjp3hwcnB2M7hhWaVDAHdiMHXiEbb7zfgGOnXZHrPzrUhI8ONWH25Hxcx7DTr/CYqax0hpxYMOQQEREEQYDTboHdqsDlCcQ8mWB4m1UVubho+jjsPNyMNRtrcLxH2NlxqAk7GHb6Fd732em2BFeS3BhyiIgoQhKF7pXOFbi8gbgMTg4fxpo5KQ87DzVhzcZaNDQNEHYWl2F8AcNO+FR/9uTEhiGHiIj6UGQR2em2uA1OBkITVM6uLMCsyfmDh53KfCy/uBzj+lkuYrQIH67KZsiJCUMOERENKDw42eNT4fbGPjgZGELYOdiEHQebMKeyANddXIbJJdkxPmLy0dmTExcMOUREdE4OW2hwcrxmTgbOHXa2HzyN7QdPY970MfjGv8yB026upR1GEs+uig/OE01EREMiigKcDgvys+xw2hWIgy3cNpztdoed735xHr7y8SqMy+99mOr9vafw7Np9cXmsZBE5XJXBgcexYE8OERENiySJ3YOTZXR5VPgD8Zk5uWfPzkcHm/DqpjM9O2mjqBcHQGT8E3tyYsOQQ0REUVFkCTkZEnyB0ODkWFc6DxMFAXOmFOCCynwcqGuFFtRxxUUlsW84yciSyBmPY8S9R0REMbFZZFgVqXu8jgYtqMdlu6IgYFpZLtLsChR59I2uyEizQIjTIcHRiiGHiIhiJggC0uwW2KwK3B4VasDPL+gYZaRZEl1C0mPIISKiuJFEARlOCwTDhow0G0SRQSdaDDmxG339f0RENOIkSYBNMZCbYYNNkcBOneFjyIkdQw4REY2IYDAIRRaRm2VHltMKiyyCWWfoGHJix8NVREQ04sKTCbq9Kty++EwmmOpG22nzI4Ehh4iIzgtRFJCeZgnNr+NV4fVpkUnvqC+rRUp0CUmPh6uIiOi8kiQRWU4rcjNtsFk4XmcgNgv7IWLFkENERAlhUSTkZtqRnc7xOv2xsScnZoyJRESUUHZr93id8OKfQR7CAkIrwFNsuAeJiCjhBEGA026B3SLD5VXh4XgdWBX25MSKh6uIiMg0wot/5mXZYLPIGM1zCY7GpSzijT05RERkOoosITcztPinqsZnLaxkw9miY8eQQ0REpmWzyLCN0jnxJJ52FjP2hREREZmQKDHkxIohh4iIyIQkHq6KGUMOERGRCXFMTuwYcoiIiEyIPTmxY8ghIiIyIYEDj2PGkENERGRGo3suxLhgyCEiIjKh0T7jczww5BAREZmQwZATM4YcIiIiE2LGiR1DDhERkQnxcFXsGHKIiIhMiBkndgw5REREJsSenNgx5BAREZkQBx7HjiGHiIjIhAw90RUkP4YcIiIiE+Lhqtgx5BAREZkQM07sGHKIiIhMiD05sWPIISIiMiEOPI4dQw4REZEJBXWGnFgx5BAREZmQzpATM4YcIiIiE2JPTuwYcoiIiEyIISd2DDlEREQmpOucDTBWDDlEREQm5PFpiS4h6THkEBERmZDXz5ATK4YcIiIiE+LZVbFjyCEiIjIhhpzYMeQQERGZEM+uip2c6AI2bNiAP/zhD6iurobL5UJhYSGuuOIK3HPPPUhPT090eURERAnBnpzYJTzkdHR0YPbs2fj85z+PjIwMHD58GI888ggOHz6MJ598MtHlERERJQR7cmKX8JCzfPlyLF++PPLz/PnzYbFY8J//+Z9obGxEYWFhAqsjIiJKDPbkxC7hIac/WVlZAABN4+lzFFJ/shNN7V7kZ9lRMjbDNI+f6LrCjja64PJ1DbmOaOseyfYOZdtm2d89mbGmVDKa9y97cmJnmpATDAahaRqqq6vx6KOP4tJLL8W4ceMSXRaZwOoNR7BqfQ38ahBWRcINS8qx4pKKhD9+ousKe+9gF7bX7EBAM4ZUR7R1j2R7h7Jts+xvs9eUSkb7/hWERFeQ/EwTci699FI0NjYCAC655BI8/PDDMW3PMAx4PJ6Y6/J6vb3+TjVmb9/RRhdWrquGYQBZTgVur4aV66oxaXw6igud57x/rO0b6PHT7VJMdcXL4fpmvHfABVmWh1RHtPsz1udhMINtOz9DirTTDPt7qHWfj9em2Y3Uey+Rz3lPQ22fw+GI/kEMPS7fY6loqPvVNCHnscceg8fjQXV1NX7729/irrvuwlNPPQVJkqLanqqq2L9/f9zqq6uri9u2zMis7TvU4IXbG0C6XYTfH4QkGHB5dezYfQjuVvuQtxNt+wZ6/A9318SlrlgdavBCDRqwWYLw+/Vz1hHt/ozX8zDcbU8eF9r2vsNHTbG/h1r3+XhtJot4v/cS+Zz351ztmzt3btTbDgS8OHjwINew6sdQ96tpQs6UKVMAAHPmzMG0adPwiU98Am+88QauvvrqqLanKAomTpwYc11erxd1dXUoLS2F3W6eN1a8mL19aTkuvLlrB4IGkGaT4fZqcNiB2VWTh/zbciztG+jxL6wqx/6Gg1HXFS+yoxlrP2yHpktwOpRz1hHt/oz1eRjMYNvOz5BQV1eHaZOK8eYud8L391DrPh+vTbMbqfdeIp/zns7H85eTlYHKytIR2fZoYZqQ09PUqVMhSRKOHj0a9TYEQYitm/Asdrs9rtszG7O2b0qZAzcunYhV62vQ4VJhUSTcsKQCU8oKhrWdaNs30OMvu7AUXd5gzHXFalJJHhZMcWJ7jX9IdUS7P+P1PAx32+Gu+kkleSP2+CNR93CY9b0XL/F+7yXyOe/PSD5/NqslpV8b54MpQ86OHTsQDAYxfvz4RJdCJrDikgrMnJifsDMsBnr8RNcVtqAyHZcvnAaXzxhSHdHWPZLtHcq2zbK/zV5TKhnt+1cUOfI4VgkPOffccw9mzJiByspK2Gw2HDhwAI8//jgqKytxxRVXJLo8MomSsRkJ/YAb6PETXVdYcaFzWL/xRVv3SLZ3KNs2y/7uyYw1pZLRvH9Fnl4Vs4SHnJkzZ2Lt2rV47LHHYBgGxo0bh0996lP40pe+BIvFkujyiIiIEkKSGHJilfCQ8+Uvfxlf/vKXE10GERGRqbAnJ3ZchZyIiMiEOCYndgw5REREJsSenNgx5BAREZkQe3Jix5BDRERkQgw5sWPIISIiMiGJISdmDDlEREQmxJ6c2DHkEBERmRAHHseOIYeIiMiEeLgqdgw5REREJsTDVbFjyCEiIjIhhpzYMeQQERGZEDNO7BhyiIiITEjgwOOYMeQQERGZEM+uih1DDhERkQkx48SOIYeIiMiEeLgqdgw5REREJsSMEzuGHCIiIhPimJzYMeQQERGZETNOzBhyiIiITIg9ObFjyCEiIjIhZpzYMeQQERGZkMDjVTFjyCEiIjIh9uTEjiGHiIjIhDhPTuwYcoiIiEyIGSd2DDlEREQmxLOrYseQQ0REZEbMODFjyCEiIjIh9uTEjiGHiIjIhJhxYseQQ0REZDJWRcLYPGeiy0h6DDlEREQmk5VuhSSyKydWDDlERESUkhhyiIiIKCUx5BAREVFKYsghIiKilMSQQ0RERCmJIYeIiIhSEkMOERERpSSGHCIiIkpJDDlERESUkhhyiIiIKCUx5BAREVFKYsghIiKilMSQQ0RERCmJIYeIiIhSEkMOERERpSSGHCIiIkpJgmEYRqKLiKeDBw/C5XIBACwWS8zbMwwDqqpCURQIghDz9syG7UtubF/ySuW2AWxfmMViQWVl5bC2vXv3bgBAVVVVTDUSICe6gJEQzzeUIAhxCUtmxfYlN7YveaVy2wC2LxapvN/Ot5TrySEiIiICOCaHiIiIUhRDDhEREaUkhhwiIiJKSQw5RERElJIYcoiIiCglMeQQERFRSmLIISIiopTEkENEREQpiSGHiIiIUhJDDhEREaUkhhwiIiJKSSm5QGd/amtr8dBDD2Hbtm2w2+247rrrcN9998Fms53zvq+88gr+8Ic/oKGhASUlJbj77rtxzTXX9LqNqqr49a9/jVdeeQVdXV2YOXMmvvvd72LKlCkj1aReommfy+XCU089hfXr16O2thayLGP69On45je/ienTp/e6bX+r6Obl5WHTpk1xb0t/on3+brvtNrz//vt9Ll+7di0qKioiPyfj83f8+HFcfvnl/V6nKAr27NkT+TmRz199fT2eeOIJ7Ny5E4cPH0Z5eTnWrFkzpPsmw3svmvYl03sv2ucvWd570bQvWd57NEpCTmdnJz7/+c+jqKgIv/71r9Ha2oqf/OQnaG9vx89//vNB7/vaa6/h/vvvx5e//GVcfPHFePPNN/GNb3wD6enpWLx4ceR2P/nJT7By5Urcf//9GDduHB5//HF84QtfwOrVq5Gfn2/K9p04cQIvvPACPvGJT+DrX/86NE3Dn/70J9x66634y1/+0ufD9rbbbsPy5csjPyuKMmJt6imW5w8A5syZg29/+9u9Lhs/fnyvn5Px+SsoKMALL7zQ6zLDMHDnnXdi/vz5fW6fqOfv8OHDWLduHWbNmgVd1zHUNYGT4b0HRNe+ZHnvAdE/f4D533tAdO1LlvceATBGgT/84Q/GrFmzjJaWlshlf//7343Jkycb1dXVg9736quvNr7+9a/3uuyLX/yicfPNN0d+PnXqlDF16lTjueeei1zW1dVlzJs3z/h//+//xakVA4u2fW632/B4PL0u8/l8xsUXX2zcf//9vS6fPHmy8fjjj8e38CGK5fn77Gc/a3z5y18e9DbJ+vz157333jMmT55srF27ttfliXz+gsFg5N/f/va3jeuuu25I90uG955hRNe+ZHnvGUb0z18yvPcMI/r2nc2M7z0yjFExJmf9+vVYuHAhcnJyIpddddVVsFgsWLdu3YD3O3bsGGpqanolcABYvnw5du3ahdbWVgDAxo0bEQwGcd1110Vu43Q6cdlllw26/XiJtn0OhwN2u73XZVarFRUVFTh9+vSI1Ttc0bZvqJL1+evPmjVrIrWbhSgO/2MmWd57QHTtS5b3HhBd+4YqWZ+//pjxvUejZODxkSNHeh0DBgCLxYLi4mIcOXJkwPvV1NQAAMrLy3tdXlFRAcMwItcfOXIEeXl5yMrK6nO72tpa6Loeh1YMLNr29cfj8WD//v192gwAjz32GKZPn44LL7wQ9957L06cOBFT3UMVa/vef/99XHDBBaiqqsJnP/tZfPDBB322nwrPn6qqeP3113HllVfCarX2uT5Rz180kuW9F09mfO/FyuzvvXhJpfdeqhk1Y3IyMjL6XJ6RkYGOjo4B7xe+7uz7ZmZm9rq+s7MT6enpfe6fmZkJVVXh8XjgdDqjrv9com1ff375y1/C6/Xis5/9bK/Lb7zxRixbtgx5eXk4dOgQfve73+HTn/40Vq1aFdkfIyWW9l100UW44YYbUFpaitOnT+OJJ57A7bffjmeffRazZ8+ObD8Vnr/169ejvb29T+8HkNjnLxrJ8t6LJzO+92KRDO+9eEml916qGRUhZyCGYUAQhHPe7uzbGN0D03pe3t92jGEM0BsJQ21f2OrVq/HMM8/gwQcfRElJSa/rfvazn0X+fdFFF2Hu3Lm46aab8OKLL+LOO++MW83DMZT2ff3rX+/187Jly7B8+XL89re/xR//+MfI5any/OXl5WHhwoV9rjPj8zcUyfreG65ke+8NRTK/94YrFd97qWJUHK7KyMhAZ2dnn8u7urr6/Q067OzfGsPC2wrfd6Dtd3Z2QlEUOByOqGsfimjb19OmTZvwne98B1/60pfwmc985py3nzJlCsrKyrB3795h1ztc8WhfmMPhwNKlS3vVnQrPn9vtxrvvvotrrrkGkiSd8/bn8/mLRrK89+LBzO+9eDLjey8eUu29l2pGRcipqKjoM7YhEAjg6NGjfcZC9BQ+Nh4+/h925MgRCIIQub6iogItLS1ob2/vc7uysrIRHbgXfvxo2he2a9cu3HPPPbj66qvx7//+70N+3PP121as7Tvb2XUn+/MHAG+88Qa8Xi9WrFgx5Mc182/LyfLei5XZ33vxZrb3Xjyk2nsv1Zj/FRQHS5YswXvvvYe2trbIZW+88QYCgQCWLl064P0mTJiA8vJyrF27ttfla9aswcyZMyNnwyxevBiiKOIf//hH5DZutxtvv/32oNuPl2jbB4Q+TO68807MmTMHP/nJT4Z8eGT//v2oq6tDVVVVTLUPRSztO5vH48G6det61Z3Mz1/YmjVrUFxcjFmzZg3p9ufz+YtGsrz3YpEM7714MuN7Lx5S7b2XakbFmJxbb70Vzz33HP71X/8V//qv/4qWlhb89Kc/xYoVK3r9pvzAAw9g5cqV2LdvX+Syr3/96/jGN76B4uJiLFq0CG+99RY2bdqExx9/PHKbwsJC3Hrrrfj5z38OWZZRVFSEJ598EgDw+c9/3rTta2lpwZe+9CUoioI77rijV/epxWLBtGnTAABPPPEEjh07hnnz5iEnJweHDx/G73//e4wZMwY333yzadv34Ycf4oknnsCVV16JoqIinD59Gk899RSamprwq1/9KnK/ZH3+wlpbW7Fly5YBj+8n+vnzer2R04EbGhrgcrnw2muvAUCkpmR970XbvmR570XbvmR570XbvjCzv/dolIScjIwMPPPMM3jooYfwta99DTabDcuXL8d9993X63a6riMYDPa67JprroHP58Pvf/97PPHEEygpKcEvfvGLXjOuAsD9998Ph8OBX/7yl+jq6sKsWbPwzDPPnJcZO6NtX3V1NU6ePAkA+MIXvtDrtuPGjcPbb78NACgrK8Prr7+OtWvXwu12Izs7G0uXLsW999477DEx0Yi2ffn5+QgEAnj44YfR3t4Ou92O2bNn4wc/+AFmzpzZ677J+PyF/eMf/4CmaQN2lyf6+WtpacG//du/9bos/POf/vQnzJ8/P2nfe0B07UuW9x4QXfuS5b0HRP/6BMz/3iNAMHhwkIiIiFLQqBiTQ0RERKMPQw4RERGlJIYcIiIiSkkMOURERJSSGHKIiIgoJTHkEBERUUpiyCEiIqKUxJBDREREKYkhhyhB/va3v6GyshLHjx8f9n23b9+ORx55pN8VnG+77TbcdtttvS6rrKzEI488EnWtI2k4++Hsth0/fhyVlZX429/+FrlssH1DRKMLQw5REtqxYwd+85vf9PtF/v3vfx/f//73E1BVdJYtW4YXXngBBQUFw75vQUEBXnjhBSxbtixy2WD7hohGl1GxdhXRaDJx4sRElzAsOTk5kVXFh8tiseCCCy6Ib0FElDLYk0M0BG+++SYqKyuxZcuWPtc9//zzqKysxIEDByKXvfXWW7jlllswa9YszJ49G7fffjt27NhxzsfZtGkTvvrVr2LJkiWoqqrClVdeiQcffBCtra2R2zzyyCP4n//5HwDA5ZdfjsrKSlRWVmLr1q0A+j9c1Z+mpiY8+OCDWLJkCWbMmIHLLrsMv/nNb6Bp2jnvu3btWnzxi1/E4sWLMXPmTFxzzTX4+c9/Do/H0+e2O3fuxF133YX58+ejqqoKV1xxBX784x9Hru/vcJVhGPjjH/+ISy+9FFVVVfj4xz8eWSm6p7MPVw22bx544AHMmzcPXq+3z3Y+97nP4brrrjtnu4koubAnh2gIli1bhtzcXPz1r3/FwoULe133yiuvYPr06ZgyZQoAYPXq1bjvvvuwePFi/O///i8CgQAef/xx3HbbbXj66adx4YUXDvg4R48exezZs3HzzTcjPT0dDQ0NeOqpp/5/e3cWEgXXBnD836DppGlBuWSIY+WSCGqgiKWZWBGaua8taCGalKFWGBpGoEXihYqFCJWmQWmU1kU3ilJUUJYQmeRSJpkLubSolfNdiEN+LulbFzU9PxiQs3nOuXp4zjkzREVFUV1dja6uLqGhoQwODlJaWkpBQYHm15oXksHp7e0lNDQUhULBwYMHsbS0pLGxkaKiIrq6usjOzp6zf0dHB56enuzduxelUklbWxvFxcU0NTVx+fJlTbuGhgYSEhKwtrbm+PHjmJub09XVxb179+Ycv6CggIKCAkJCQti2bRvd3d1kZGQwPj6OSqWatd9ce2NsbExlZSU1NTWEhoZq+rx69YqHDx+SmZk5n60TQvxFJMgRYh50dHTYuXMnFRUVDA8Ps3TpUgBaW1tpamoiIyMDgPHxcc6ePYuNjQ3FxcUoFBPJUi8vL3x9fTl37hxXr16d9f9ERkZq/lar1Tg7O+Pq6oq3tzf19fX4+PhgZmaGubk5APb29qxevXrB68nPz2dwcJDbt2+zatUqANzd3dHX1+fMmTPExcXNGTQlJiZOmaeLiwtr1qwhJiaG5uZmTcB36tQpzM3NuXbtGnp6epo+wcHBs449NDREcXExvr6+UzI+a9euJTIycs4gZ669sbOzw9XVlStXrkwJcsrKyjA0NGTXrl2zjiuE+DvJcZUQ8xQcHMzIyAh37tzRlFVWVrJ48WL8/PwAaG9vp6enh4CAAE2AA2BgYMDWrVt59uzZjMclk/r7+8nMzMTLy4v169fj4OCAt7c3MBFQ/S51dXW4ublhYmLCt2/fNB9PT08AHj16NGf/zs5OUlJS8PDwwN7eHgcHB2JiYgBoa2sDJvbizZs3hISETAlwfqaxsZHR0VH8/f2nlLu4uGBhYbGQZU6zZ88eXrx4wePHjwH4+PEjN2/eJDAwEAMDg18aWwjx55FMjhDztG7dOhwdHamqqiI8PJzv379z69YtfHx8WLZsGQAfPnwA0ByT/MjExITx8XGGhoZQKpXT6sfHx4mNjaWnp4fExERsbGxQKpWo1WrCwsIYHR39bWvp7++ntrYWBweHGesn1zGTT58+ERUVhZ6eHsnJyVhZWaGvr093dzdJSUmMjIwAaO4RmZqaLmhuAwMDAKxYsWJa3UxlC+Hj44OFhQXl5eVs2LCBqqoqvnz5QlRU1C+NK4T4M0mQI8QCBAUFkZWVRWtrK52dnfT29hIUFKSpX758OTBx5+X/9fT0oFAoMDIymnHslpYWmpubycnJITAwUFP++vXr37yKiXna2tqSnJw8Y/1cz7kfPHhAT08PpaWluLq6asqHh4entJt8MfX+/fsFzW0yYOzr65tW19fX90vZHIVCQXR0NHl5eRw7dozy8nLc3d2xtrb+z2MKIf5cclwlxAL4+fmhp6dHVVUVVVVVmJqasnHjRk29SqXC1NSUmpoa1Gq1pvzz58/cvXsXJyenGbM4AIsWLQImnkX/aKY7PJNt/mt2Z/PmzbS0tGBpaYmjo+O0z1zZl/nOU6VSYWlpSWVlJWNjY/Oem5OTE3p6elRXV08pf/LkCV1dXT/t/7O9CQ0NRVdXl9TUVNrb24mOjp733IQQfxfJ5AixAEZGRvj6+nLjxg2GhoaIi4ubcvdGoVCQlpZGamoq8fHxhIeHMzY2RklJCUNDQ6SkpMw6trW1NZaWluTm5qJWqzE2Nqa2tnbGl0g2NjYAXLp0icDAQHR0dFCpVBgaGs5rHYcOHeL+/ftERESwe/duVCoVY2NjvH37lvr6erKysjAzM5uxr7OzM8bGxpw8eZKkpCR0dHSorq7m5cuX09pmZmaSkJBAWFgY+/btw9zcnHfv3tHQ0EBubu6M4xsbGxMbG0tRUREnTpxg+/btdHd3k5+fP+Mx4EL3xsjIiICAACoqKrCwsGDLli3z2jMhxN9HMjlCLFBQUBD9/f18/fp1yrHSJH9/fwoLCxkYGODIkSOkp6djaGjI5cuX53w+rqury/nz57GysiIzM5OUlBT6+/u5ePHitLZubm7Ex8dTW1tLVFQUISEhPH/+fN5rMDEx4fr163h4eFBSUsKBAwc4evQolZWV2NnZzXqkBhNHXRcuXECpVJKWlkZ6ejpLliwhLy9vWttNmzZRVlbGypUrOX36NPv376ewsPCnd2sOHz5MSkqK5nuDSktLycrKmvNl1aT57M2OHTsAiIiImBKkCiG0yyL1jzl1IYT4B+Tk5FBRUUFdXZ3mHpUQQvvIcZUQ4p/x9OlTOjo6KC8vJzw8XAIcIbScZHKEEP8MW1tblEolnp6eZGdny3fjCKHlJMgRQgghhFaSG3dCCCGE0EoS5AghhBBCK0mQI4QQQgitJEGOEEIIIbSSBDlCCCGE0EoS5AghhBBCK0mQI4QQQgitJEGOEEIIIbSSBDlCCCGE0Er/A53l3qms65imAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Visualize quality vs volatile acidity\n", + "volatileAcidity_quality = data[['quality', 'volatile acidity']]\n", + "g = sns.JointGrid(x=\"volatile acidity\", y=\"quality\", data=volatileAcidity_quality, size=6)\n", + "g = g.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "g = g.plot_marginals(sns.distplot)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#We can visualize relationships of discreet values (quality vs volatile acidity) better with a bar plot\n", + "\n", + "fig, axs = plt.subplots(ncols=1,figsize=(10,6))\n", + "sns.barplot(x='quality', y='volatile acidity', data=volatileAcidity_quality, ax=axs)\n", + "plt.title('quality VS volatile acidity')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "plt.gcf().clear()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:1667: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:1689: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "quality_alcohol = data[['alcohol', 'quality']]\n", + "\n", + "g = sns.JointGrid(x=\"alcohol\", y=\"quality\", data=quality_alcohol, size=6)\n", + "g = g.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "g = g.plot_marginals(sns.distplot)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#TODO: Visualize quality vs alcohol with a bar plot\n", + "fig, axs = plt.subplots(ncols=1,figsize=(10,6))\n", + "sns.barplot(x='quality', y='alcohol', data=quality_alcohol, ax=axs)\n", + "plt.title('quality VS alcohol')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "plt.gcf().clear()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:1667: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:1689: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# TODO (OPTIONAL): Select any two features of your choice and view their relationship\n", + "sulphates_chlorides = data[['sulphates', 'chlorides']]\n", + "\n", + "g = sns.JointGrid(x=\"sulphates\", y=\"chlorides\", data=sulphates_chlorides, size=6)\n", + "g = g.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "g = g.plot_marginals(sns.distplot)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Outlier Detection:\n", + "\n", + "Detecting outliers in the data is extremely important in the data preprocessing step of any analysis. The presence of outliers can often skew results which take into consideration these data points. There are many \"rules of thumb\" for what constitutes an outlier in a dataset. Here, we will use [Tukey's Method for identfying outliers](http://datapigtechnologies.com/blog/index.php/highlighting-outliers-in-your-data-with-the-tukey-method/): An **outlier step** is calculated as **1.5** times the **interquartile range (IQR)**. A data point with a feature that is beyond an outlier step outside of the IQR for that feature is considered abnormal.\n", + "\n", + "In the code block below:\n", + "\n", + "* Assign the value of the 25th percentile for the given feature to Q1. Use np.percentile for this.\n", + "* Assign the value of the 75th percentile for the given feature to Q3. Again, use np.percentile.\n", + "* Assign the calculation of an outlier step for the given feature to step.\n", + "* Optionally remove data points from the dataset by adding indices to the outliers list.\n", + "\n", + "**NOTE:** If you choose to remove any outliers, ensure that the sample data does not contain any of these points!\n", + "Once you have performed this implementation, the dataset will be stored in the variable good_data." + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "49\n", + "1599\n", + "1550\n", + "19\n", + "1599\n", + "1580\n", + "1\n", + "1599\n", + "1598\n", + "155\n", + "1599\n", + "1444\n", + "112\n", + "1599\n", + "1487\n", + "30\n", + "1599\n", + "1569\n", + "55\n", + "1599\n", + "1544\n", + "45\n", + "1599\n", + "1554\n", + "35\n", + "1599\n", + "1564\n", + "59\n", + "1599\n", + "1540\n", + "13\n", + "1599\n", + "1586\n", + "28\n", + "1599\n", + "1571\n" + ] + } + ], + "source": [ + "#TODO: Find outliers for each feature\n", + "\n", + "# For each feature find the data points with extreme high or low values\n", + "for feature in data.keys():\n", + " Q1 = np.percentile(data[feature], q=25)\n", + " Q3 = np.percentile(data[feature], q=75)\n", + " \n", + " iqr = Q3 - Q1\n", + " step = 1.5 * iqr\n", + " \n", + " #print(\"Data points considered outliers for the feature '{}':\".format(feature))\n", + " #display(data[~((data[feature] >= Q1 - step) & (data[feature] <= Q3 + step))])\n", + " \n", + " outliers = data[~((data[feature] >= Q1 - step) & (data[feature] <= Q3 + step))].index.values\n", + " \n", + " good_data = data.drop(data.index[outliers]).reset_index(drop = True)\n", + " \n", + " print(outliers.shape[0])\n", + " print(data.shape[0])\n", + " print(good_data.shape[0])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Part 2: Using Machine Learning to Predict the Quality of Wines" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Data Preparation: \n", + "\n", + "### First, we'll apply some transforms to convert our regression problem into a classification problem. Then, we'll use our data to create feature-set and target labels:" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholqualityquality_cat
07.40.700.001.90.07611.034.00.99783.510.569.450
17.80.880.002.60.09825.067.00.99683.200.689.850
27.80.760.042.30.09215.054.00.99703.260.659.850
311.20.280.561.90.07517.060.00.99803.160.589.861
47.40.700.001.90.07611.034.00.99783.510.569.450
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "0 7.4 0.70 0.00 1.9 0.076 \n", + "1 7.8 0.88 0.00 2.6 0.098 \n", + "2 7.8 0.76 0.04 2.3 0.092 \n", + "3 11.2 0.28 0.56 1.9 0.075 \n", + "4 7.4 0.70 0.00 1.9 0.076 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "0 11.0 34.0 0.9978 3.51 0.56 \n", + "1 25.0 67.0 0.9968 3.20 0.68 \n", + "2 15.0 54.0 0.9970 3.26 0.65 \n", + "3 17.0 60.0 0.9980 3.16 0.58 \n", + "4 11.0 34.0 0.9978 3.51 0.56 \n", + "\n", + " alcohol quality quality_cat \n", + "0 9.4 5 0 \n", + "1 9.8 5 0 \n", + "2 9.8 5 0 \n", + "3 9.8 6 1 \n", + "4 9.4 5 0 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#TODO: Convert the regression problem into a classification problem\n", + "\"\"\"\n", + "For our purposes, all wines with ratings less than 5 will fall under 0 (poor) category,\n", + "wines with ratings 5 and 6 will be classified with the value 1 (average), \n", + "and wines with 7 and above will be of great quality (2).\n", + "\"\"\"\n", + "\n", + "\n", + "quality_cat = pd.cut(data2.quality,bins=[0,5,6,100],labels=[0,1,2])\n", + "\n", + "data.insert(12, \"quality_cat\", quality_cat)\n", + "\n", + "display(data.head(n=5))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Next, shuffle and split our data-set into training and testing subsets:" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# TODO: Import train_test_split from sklearn\n", + "from sklearn.linear_model import LinearRegression\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "# TODO: Split the 'features' and 'income' data into training and testing sets\n", + "x = data.iloc[:, :-1]\n", + "y = data.iloc[:, -1]\n", + "\n", + "# TODO: Show the results of the split\n", + "X_train, X_test, y_train, y_test = train_test_split(\n", + " X, y, test_size=0.05, random_state=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## [scikit-learn](http://scikit-learn.org/) is a handy data science and machine learning library that lets you use ML algorithms in easy to use APIs." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Supervised Learning Models\n", + "**The following are some of the supervised learning models that are currently available in** [`scikit-learn`](http://scikit-learn.org/stable/supervised_learning.html) **that you may choose from:**\n", + "- Gaussian Naive Bayes (GaussianNB)\n", + "- Decision Trees\n", + "- Ensemble Methods (Bagging, AdaBoost, Random Forest, Gradient Boosting)\n", + "- K-Nearest Neighbors (KNeighbors)\n", + "- Stochastic Gradient Descent Classifier (SGDC)\n", + "- Support Vector Machines (SVM)\n", + "- Logistic Regression" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Implementation - Creating a Training and Predicting Pipeline\n", + "To properly evaluate the performance of each model you've chosen, it's important that you create a training and predicting pipeline that allows you to quickly and effectively train models using various sizes of training data and perform predictions on the testing data. Your implementation here will be used in the following section.\n", + "In the code block below, you will need to implement the following:\n", + " - Import `fbeta_score` and `accuracy_score` from [`sklearn.metrics`](http://scikit-learn.org/stable/modules/classes.html#sklearn-metrics-metrics).\n", + " - Fit the learner to the sampled training data and record the training time.\n", + " - Perform predictions on the test data `X_test`, and also on the first 300 training points `X_train[:300]`.\n", + " - Record the total prediction time.\n", + " - Calculate the accuracy score for both the training subset and testing set.\n", + " - Calculate the F-score for both the training subset and testing set.\n", + " - Make sure that you set the `beta` parameter!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Next, we will write a function that will accept a ML algorithm of our choice, and use our data to train it" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# Import two classification metrics from sklearn - fbeta_score and accuracy_score\n", + "from sklearn.metrics import fbeta_score\n", + "from sklearn.metrics import accuracy_score\n", + "\n", + "def train_predict_evaluate(learner, sample_size, X_train, y_train, X_test, y_test): \n", + " '''\n", + " inputs:\n", + " - learner: the learning algorithm to be trained and predicted on\n", + " - sample_size: the size of samples (number) to be drawn from training set\n", + " - X_train: features training set\n", + " - y_train: quality training set\n", + " - X_test: features testing set\n", + " - y_test: quality testing set\n", + " '''\n", + " \n", + " results = {}\n", + " \n", + " \"\"\"\n", + " Fit/train the learner to the training data using slicing with 'sample_size' \n", + " using .fit(training_features[:], training_labels[:])\n", + " \"\"\"\n", + " start = time() # Get start time of training\n", + " learner = learner.fit(X_train[:sample_size], y_train[:sample_size]) #Train the model\n", + " end = time() # Get end time of training\n", + " \n", + " # Calculate the training time\n", + " results['train_time'] = end - start\n", + " \n", + " \"\"\"\n", + " Get the predictions on the first 300 training samples(X_train), \n", + " and also predictions on the test set(X_test) using .predict()\n", + " \"\"\"\n", + " start = time() # Get start time\n", + " predictions_train = learner.predict(X_train[:300])\n", + " predictions_test = learner.predict(X_test)\n", + " \n", + " end = time() # Get end time\n", + " \n", + " # Calculate the total prediction time\n", + " results['pred_time'] = end - start\n", + " \n", + " # Compute accuracy on the first 300 training samples which is y_train[:300]\n", + " results['acc_train'] = accuracy_score(y_train[:300], predictions_train)\n", + " \n", + " # Compute accuracy on test set using accuracy_score()\n", + " results['acc_test'] = accuracy_score(y_test, predictions_test)\n", + " \n", + " # Compute F1-score on the the first 300 training samples using fbeta_score()\n", + " results['f_train'] = fbeta_score(y_train[:300], predictions_train, beta=0.5, average='micro')\n", + " \n", + " # Compute F1-score on the test set which is y_test\n", + " results['f_test'] = fbeta_score(y_test, predictions_test, beta=0.5, average='micro')\n", + " \n", + " # Success\n", + " print(\"{} trained on {} samples.\".format(learner.__class__.__name__, sample_size))\n", + " \n", + " # Return the results\n", + " return results" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Implementation: Initial Model Evaluation\n", + "In the code cell, you will need to implement the following:\n", + "- Import the three supervised learning models you've discussed in the previous section.\n", + "- Initialize the three models and store them in `'clf_A'`, `'clf_B'`, and `'clf_C'`.\n", + " - Use a `'random_state'` for each model you use, if provided.\n", + " - **Note:** Use the default settings for each model — you will tune one specific model in a later section.\n", + "- Calculate the number of records equal to 1%, 10%, and 100% of the training data.\n", + " - Store those values in `'samples_1'`, `'samples_10'`, and `'samples_100'` respectively.\n", + "\n", + "**Note:** Depending on which algorithms you chose, the following implementation may take some time to run!\n", + "\n", + "Further reading: https://stackoverflow.com/questions/31421413/how-to-compute-precision-recall-accuracy-and-f1-score-for-the-multiclass-case" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from sklearn.naive_bayes import GaussianNB\n", + "from sklearn import tree\n", + "from sklearn.neighbors import KNeighborsClassifier" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GaussianNB trained on 1519 samples.\n", + "{'train_time': 0.01581406593322754, 'pred_time': 0.011101007461547852, 'acc_train': 1.0, 'acc_test': 0.9875, 'f_train': 1.0, 'f_test': 0.9875}\n", + "GaussianNB trained on 151 samples.\n", + "{'train_time': 0.007778644561767578, 'pred_time': 0.0055751800537109375, 'acc_train': 0.9833333333333333, 'acc_test': 0.9875, 'f_train': 0.9833333333333333, 'f_test': 0.9875}\n", + "GaussianNB trained on 15 samples.\n", + "{'train_time': 0.0025148391723632812, 'pred_time': 0.002897977828979492, 'acc_train': 0.89, 'acc_test': 0.9, 'f_train': 0.89, 'f_test': 0.8999999999999999}\n", + "DecisionTreeClassifier trained on 1519 samples.\n", + "{'train_time': 0.0038602352142333984, 'pred_time': 0.0027875900268554688, 'acc_train': 1.0, 'acc_test': 1.0, 'f_train': 1.0, 'f_test': 1.0}\n", + "DecisionTreeClassifier trained on 151 samples.\n", + "{'train_time': 0.0023953914642333984, 'pred_time': 0.00811767578125, 'acc_train': 1.0, 'acc_test': 1.0, 'f_train': 1.0, 'f_test': 1.0}\n", + "DecisionTreeClassifier trained on 15 samples.\n", + "{'train_time': 0.002344369888305664, 'pred_time': 0.0031290054321289062, 'acc_train': 0.86, 'acc_test': 0.8125, 'f_train': 0.86, 'f_test': 0.8125}\n", + "KNeighborsClassifier trained on 1519 samples.\n", + "{'train_time': 0.004030466079711914, 'pred_time': 0.01562976837158203, 'acc_train': 0.8633333333333333, 'acc_test': 0.6625, 'f_train': 0.8633333333333333, 'f_test': 0.6625}\n", + "KNeighborsClassifier trained on 151 samples.\n", + "{'train_time': 0.0020360946655273438, 'pred_time': 0.015407800674438477, 'acc_train': 0.6633333333333333, 'acc_test': 0.65, 'f_train': 0.6633333333333333, 'f_test': 0.6500000000000001}\n", + "KNeighborsClassifier trained on 15 samples.\n", + "{'train_time': 0.0021543502807617188, 'pred_time': 0.027750730514526367, 'acc_train': 0.49, 'acc_test': 0.45, 'f_train': 0.49, 'f_test': 0.44999999999999996}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n", + " mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n", + "/opt/conda/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n", + " mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n", + "/opt/conda/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n", + " mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n", + "/opt/conda/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n", + " mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n", + "/opt/conda/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n", + " mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n", + "/opt/conda/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n", + " mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n" + ] + } + ], + "source": [ + "# TODO: Import any three supervised learning classification models from sklearn\n", + "\n", + "# TODO: Initialize the three models\n", + "clf_A = GaussianNB()\n", + "clf_B = tree.DecisionTreeClassifier()\n", + "clf_C = KNeighborsClassifier(n_neighbors=3)\n", + "\n", + "# TODO: Calculate the number of samples for 1%, 10%, and 100% of the training data\n", + "# HINT: samples_100 is the entire training set i.e. len(y_train)\n", + "samples_100 = len(y_train)\n", + "# HINT: samples_10 is 10% of samples_100\n", + "samples_10 = int(samples_100 * .1)\n", + "# HINT: samples_1 is 1% of samples_100\n", + "samples_1 = int(samples_100 * .01)\n", + "\n", + "\n", + "# TODO: Collect results on the learners\n", + "print(train_predict_evaluate(clf_A, samples_100, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_A, samples_10, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_A, samples_1, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_B, samples_100, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_B, samples_10, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_B, samples_1, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_C, samples_100, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_C, samples_10, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_C, samples_1, X_train, y_train, X_test, y_test))\n", + "\n", + "# TODO: Run metrics visualization for the three supervised learning models chosen using function in visuals.py\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Question: Why does Gaussian Naive Bayes perform poorly compared to the other methods?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Answer:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "----\n", + "## Feature Importance\n", + "\n", + "An important task when performing supervised learning on a dataset like the census data we study here is determining which features provide the most predictive power. By focusing on the relationship between only a few crucial features and the target label we simplify our understanding of the phenomenon, which is most always a useful thing to do. In the case of this project, that means we wish to identify a small number of features that most strongly predict the quality of wines.\n", + "\n", + "Choose a scikit-learn classifier (e.g., adaboost, random forests) that has a `feature_importance_` attribute, which is a function that ranks the importance of features according to the chosen classifier. In the next python cell fit this classifier to training set and use this attribute to determine the top 5 most important features for the wines dataset." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Implementation - Extracting Feature Importance\n", + "Choose a `scikit-learn` supervised learning algorithm that has a `feature_importance_` attribute availble for it. This attribute is a function that ranks the importance of each feature when making predictions based on the chosen algorithm.\n", + "\n", + "In the code cell below, you will need to implement the following:\n", + " - Import a supervised learning model from sklearn if it is different from the three used earlier.\n", + " - Train the supervised model on the entire training set.\n", + " - Extract the feature importances using `'.feature_importances_'`." + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [], + "source": [ + "# TODO: Import a supervised learning model that has 'feature_importances_'\n", + "\n", + "# TODO: Train the supervised model on the training set using .fit(X_train, y_train)\n", + "\n", + "# TODO: Extract the feature importances using .feature_importances_ \n", + "\n", + "# TODO: Plot importances" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Hyperparameter tuning using GridSearchCV:" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Unoptimized model\n", + "------\n", + "Accuracy score on testing data: 0.8906\n", + "F-score on testing data: 0.8906\n", + "\n", + "Optimized Model\n", + "------\n", + "RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n", + " max_depth=None, max_features=3, max_leaf_nodes=None,\n", + " min_impurity_decrease=0.0, min_impurity_split=None,\n", + " min_samples_leaf=1, min_samples_split=2,\n", + " min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=1,\n", + " oob_score=False, random_state=None, verbose=0,\n", + " warm_start=False)\n", + "\n", + "Final accuracy score on the testing data: 0.8969\n", + "Final F-score on the testing data: 0.8969\n" + ] + } + ], + "source": [ + "# TODO: Import 'GridSearchCV', 'make_scorer', and any other necessary libraries\n", + "from sklearn.model_selection import GridSearchCV\n", + "from sklearn.metrics import make_scorer\n", + "\n", + "# TODO: Initialize the classifier\n", + "clf = RandomForestClassifier(max_depth=None, random_state=None)\n", + "\n", + "# Create the parameters or base_estimators list you wish to tune, using a dictionary if needed.\n", + "# Example: parameters = {'parameter_1': [value1, value2], 'parameter_2': [value1, value2]}\n", + "\n", + "\"\"\"\n", + "n_estimators: Number of trees in the forest\n", + "max_features: The number of features to consider when looking for the best split\n", + "max_depth: The maximum depth of the tree\n", + "\"\"\"\n", + "parameters = {'n_estimators': [10, 20, 30], 'max_features':[3,4,5, None], 'max_depth': [5,6,7, None]}\n", + "\n", + "# TODO: Make an fbeta_score scoring object using make_scorer()\n", + "scorer = make_scorer(fbeta_score, beta=0.5, average=\"micro\")\n", + "\n", + "# TODO: Perform grid search on the claszsifier using 'scorer' as the scoring method using GridSearchCV()\n", + "grid_obj = GridSearchCV(clf, parameters, scoring=scorer)\n", + "\n", + "# TODO: Fit the grid search object to the training data and find the optimal parameters using fit()\n", + "grid_fit = grid_obj.fit(X_train, y_train)\n", + "\n", + "# Get the estimator\n", + "best_clf = grid_fit.best_estimator_\n", + "\n", + "# Make predictions using the unoptimized and model\n", + "predictions = (clf.fit(X_train, y_train)).predict(X_test)\n", + "best_predictions = best_clf.predict(X_test)\n", + "\n", + "# Report the before-and-afterscores\n", + "print(\"Unoptimized model\\n------\")\n", + "print(\"Accuracy score on testing data: {:.4f}\".format(accuracy_score(y_test, predictions)))\n", + "print(\"F-score on testing data: {:.4f}\".format(fbeta_score(y_test, predictions, beta = 0.5, average=\"micro\")))\n", + "print(\"\\nOptimized Model\\n------\")\n", + "print(best_clf)\n", + "print(\"\\nFinal accuracy score on the testing data: {:.4f}\".format(accuracy_score(y_test, best_predictions)))\n", + "print(\"Final F-score on the testing data: {:.4f}\".format(fbeta_score(y_test, best_predictions, beta = 0.5, average=\"micro\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Finally, you can test out your model by giving it a bunch of inputs:" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Predicted quality for Wine 1 is: 1\n", + "Predicted quality for Wine 2 is: 2\n", + "Predicted quality for Wine 3 is: 1\n" + ] + } + ], + "source": [ + "\"\"\"Give inputs in this order: fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free sulfur dioxide,\n", + "total sulfur dioxide, density, pH, sulphates, alcohol\n", + "\n", + "\"\"\"\n", + "wine_data = [[8, 0.2, 0.16, 1.8, 0.065, 3, 16, 0.9962, 3.42, 0.92, 9.5],\n", + " [8, 0, 0.16, 1.8, 0.065, 3, 16, 0.9962, 3.42, 0.92, 1 ],\n", + " [7.4, 2, 0.00, 1.9, 0.076, 11.0, 34.0, 0.9978, 3.51, 0.56, 0.6]]\n", + " \n", + "# Show predictions\n", + "for i, quality in enumerate(best_clf.predict(wine_data)):\n", + " print(\"Predicted quality for Wine {} is: {}\".format(i+1, quality))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Question: What conclusions can you draw based on the above observations? Would you say that the model is more good at predicting average quality wines? Why?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# TODOS:\n", + "1. Try solving this exercise again as a regression problem. Some of the common algorithms you can try from sklearn are *DecisionTreeRegressor*, *RandomForestRegressor*, and using *AdaBoostRegressor* with *DecisionTreeRegressor*. Some of the performance metrics that you might need to use in place of Accuracy and f1score are Mean Squared Error and R2Score\n", + "\n", + "2. Try using the White Wines data-set in place of the Red Wines\n" + ] + } + ], + "metadata": { + "availableInstances": [ + { + "_defaultOrder": 0, + "_isFastLaunch": true, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 4, + "name": "ml.t3.medium", + "vcpuNum": 2 + }, + { + "_defaultOrder": 1, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.t3.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 2, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.t3.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 3, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.t3.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 4, + "_isFastLaunch": true, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.m5.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 5, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.m5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 6, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.m5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 7, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.m5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 8, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.m5.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 9, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.m5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 10, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.m5.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 11, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.m5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 12, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.m5d.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 13, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.m5d.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 14, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.m5d.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 15, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.m5d.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 16, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.m5d.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 17, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.m5d.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 18, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.m5d.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 19, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.m5d.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 20, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": true, + "memoryGiB": 0, + "name": "ml.geospatial.interactive", + "supportedImageNames": [ + "sagemaker-geospatial-v1-0" + ], + "vcpuNum": 0 + }, + { + "_defaultOrder": 21, + "_isFastLaunch": true, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 4, + "name": "ml.c5.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 22, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.c5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 23, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.c5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 24, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.c5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 25, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 72, + "name": "ml.c5.9xlarge", + "vcpuNum": 36 + }, + { + "_defaultOrder": 26, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 96, + "name": "ml.c5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 27, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 144, + "name": "ml.c5.18xlarge", + "vcpuNum": 72 + }, + { + "_defaultOrder": 28, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.c5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 29, + "_isFastLaunch": true, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.g4dn.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 30, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.g4dn.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 31, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.g4dn.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 32, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.g4dn.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 33, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.g4dn.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 34, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.g4dn.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 35, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 61, + "name": "ml.p3.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 36, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 244, + "name": "ml.p3.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 37, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 488, + "name": "ml.p3.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 38, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 768, + "name": "ml.p3dn.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 39, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.r5.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 40, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.r5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 41, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.r5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 42, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.r5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 43, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.r5.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 44, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.r5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 45, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 512, + "name": "ml.r5.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 46, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 768, + "name": "ml.r5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 47, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.g5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 48, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.g5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 49, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.g5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 50, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.g5.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 51, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.g5.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 52, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.g5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 53, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.g5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 54, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 768, + "name": "ml.g5.48xlarge", + "vcpuNum": 192 + }, + { + "_defaultOrder": 55, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 1152, + "name": "ml.p4d.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 56, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 1152, + "name": "ml.p4de.24xlarge", + "vcpuNum": 96 + } + ], + "instance_type": "ml.t3.medium", + "kernelspec": { + "display_name": "Python 3 (Data Science 3.0)", + "language": "python", + "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east-2:429704687514:image/sagemaker-data-science-310-v1" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/sagemaker-exercises/Langchain-AWSDemo.ipynb b/sagemaker-exercises/Langchain-AWSDemo.ipynb new file mode 100644 index 0000000..0659d4d --- /dev/null +++ b/sagemaker-exercises/Langchain-AWSDemo.ipynb @@ -0,0 +1,1031 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 7, + "id": "5eb82553-98d8-4230-882a-40314b2aa9bb", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "hello\n", + "Note: you may need to restart the kernel to use updated packages.\n", + "Note: you may need to restart the kernel to use updated packages.\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "print(\"hello\")\n", + "%pip install langchain==0.0.251 --quiet --root-user-action=ignore\n", + "%pip install faiss-cpu==1.7.4 --quiet --root-user-action=ignore\n", + "%pip install pypdf==3.15.1 --quiet --root-user-action=ignore" + ] + }, + { + "cell_type": "markdown", + "id": "99a1fc4b-8eda-4a89-9fee-ba5bac05eefe", + "metadata": {}, + "source": [ + "Next, we download PDFs locally" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "4283359a-2024-4dae-813b-914d84ed9394", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from urllib.request import urlretrieve\n", + "urls = [\n", + " 'https://s2.q4cdn.com/299287126/files/doc_financials/2022/ar/2021-Shareholder-Letter.pdf',\n", + " 'https://s2.q4cdn.com/299287126/files/doc_financials/2023/ar/2022-Shareholder-Letter.pdf'\n", + "]\n", + "\n", + "filenames = [\n", + " 'AMZN-2021-Shareholder-Letter.pdf',\n", + " 'AMZN-2022-Shareholder-Letter.pdf'\n", + "]\n", + "\n", + "metadata = [\n", + " dict(year=2021, source=filenames[0]),\n", + " dict(year=2022, source=filenames[1])\n", + "]\n", + "\n", + "data_root = \"./data/\"\n", + "\n", + "for idx, url in enumerate(urls):\n", + " file_path = data_root + filenames[idx]\n", + " urlretrieve(url, file_path)" + ] + }, + { + "cell_type": "markdown", + "id": "80c5df6d-273e-4d9f-a87a-d71aee366bb5", + "metadata": {}, + "source": [ + "Need to removve end 1997 letter to shareholders from PDFs as it is attached to every one" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "b1e8f3ee-6c34-4e18-bb5a-9a1e2bc53d9b", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from pypdf import PdfReader, PdfWriter\n", + "import glob\n", + "\n", + "local_pdfs = glob.glob(data_root + '*.pdf')\n", + "\n", + "for local_pdf in local_pdfs:\n", + " pdf_reader = PdfReader(local_pdf)\n", + " pdf_writer = PdfWriter()\n", + " \n", + " for pagenum in range(len(pdf_reader.pages) -3):\n", + " page = pdf_reader.pages[pagenum]\n", + " pdf_writer.add_page(page)\n", + " \n", + " with open(local_pdf, 'wb') as new_file:\n", + " new_file.seek(0)\n", + " pdf_writer.write(new_file)\n", + " new_file.truncate()\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "58064e54-f28e-4f28-bc76-107be8e548e8", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# of document pages 13\n", + "# of document chunks: 177\n" + ] + } + ], + "source": [ + "import numpy as np\n", + "from langchain.text_splitter import CharacterTextSplitter, RecursiveCharacterTextSplitter\n", + "from langchain.document_loaders import PyPDFLoader, PyPDFDirectoryLoader\n", + "\n", + "documents = []\n", + "\n", + "for idx, file in enumerate(filenames):\n", + " loader = PyPDFLoader(data_root + file)\n", + " document = loader.load()\n", + " for document_fragment in document:\n", + " document_fragment.metadata = metadata[idx]\n", + " \n", + " documents += document\n", + " \n", + "text_splitter = RecursiveCharacterTextSplitter(\n", + " chunk_size = 512,\n", + " chunk_overlap = 100,\n", + ")\n", + "\n", + "docs = text_splitter.split_documents(documents)\n", + "\n", + "print(f'# of document pages {len(documents)}')\n", + "print(f'# of document chunks: {len(docs)}')" + ] + }, + { + "cell_type": "markdown", + "id": "cd186d64-c333-46f3-adb2-8fa2aeea35fe", + "metadata": {}, + "source": [ + "Deploy model for embedding" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "cb400c1e-cfe7-4015-b3c3-eec5173e13b3", + "metadata": {}, + "outputs": [], + "source": [ + "embedding_model_endpoint_name = 'jumpstart-dft-hf-textembedding-all-minilm-l6-v2'\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "0d0a9bac-867d-465e-a882-084f79115ed6", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import boto3\n", + "aws_region = boto3.Session().region_name" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "8c83d7d0-89a4-486d-b203-53a480a6f56e", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from typing import Dict, List\n", + "from langchain.embeddings import SagemakerEndpointEmbeddings\n", + "from langchain.embeddings.sagemaker_endpoint import EmbeddingsContentHandler\n", + "import json\n", + "\n", + "class CustomEmbeddingsContentHandler(EmbeddingsContentHandler):\n", + " content_type = \"application/json\"\n", + " accepts = \"application/json\"\n", + " \n", + " def transform_input(self, inputs: list[str], model_kwargs: Dict) -> bytes:\n", + " input_str = json.dumps({\"text_inputs\": inputs, **model_kwargs})\n", + " return input_str.encode(\"utf-8\")\n", + " \n", + " def transform_output(self, output: bytes) -> List[List[float]]:\n", + " response_json = json.loads(output.read().decode(\"utf-8\"))\n", + " return response_json[\"embedding\"]\n", + " \n", + "embeddings_content_handler = CustomEmbeddingsContentHandler()\n", + "\n", + "embeddings = SagemakerEndpointEmbeddings(\n", + " endpoint_name=embedding_model_endpoint_name,\n", + " region_name=aws_region,\n", + " content_handler=embeddings_content_handler,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "2b2b78ca-5adc-4885-99d8-22598d481e10", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from langchain.schema import Document\n", + "from langchain.vectorstores import FAISS" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "c14082af-9e92-48f7-8076-52856dd116b7", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "db = FAISS.from_documents(docs, embeddings)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "d2ec0745-730b-4356-9ed2-d9620f6b362a", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "query = \"Why is Amazon successful?\"" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "bf843c9d-44ec-479b-a9a3-5eb54530b12a", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Content: position us well to pursue this large market segment. Amazon Business allows businesses, municipalities,and organizations to procure products like office supplies and other bulk items easily and at great savings.While some areas of the economy have struggled over the past few years, Amazon Business has thrived. Why?Because the team has translated what it means to deliver selection, value, and convenience into a businessprocurement setting, constantly listening to and learning from customers, and innovating\n", + "Metadata: {'year': 2022, 'source': 'AMZN-2022-Shareholder-Letter.pdf'}\n", + "Score: 0.39322662353515625\n", + "\n", + "\n", + "Content: When I joined Amazon in 1997, we had booked $15M in revenue in 1996, were a books-only retailer, didnot have a third-party marketplace, and only shipped to addresses in the US. Today, Amazon sells nearly everyphysical and digital retail item you can imagine, with a vibrant third-party seller ecosystem that accountsfor 60% of our unit sales, and reaches customers in virtually every country around the world. Similarly,building a business around a set of technology infrastructure services in the cloud was not\n", + "Metadata: {'year': 2022, 'source': 'AMZN-2022-Shareholder-Letter.pdf'}\n", + "Score: 0.5504151582717896\n", + "\n", + "\n", + "Content: shareholders, and employees.\n", + "While there were an unusual number of simultaneous challenges this past year, the reality is that if you\n", + "operate in large, dynamic, global market segments with many capable and well-funded competitors (theconditions in which Amazon operates all of its businesses), conditions rarely stay stagnant for long.\n", + "In the 25 years I’ve been at Amazon, there has been constant change, much of which we’ve initiated ourselves.\n", + "Metadata: {'year': 2022, 'source': 'AMZN-2022-Shareholder-Letter.pdf'}\n", + "Score: 0.5915489196777344\n", + "\n", + "\n", + "Content: unpredictable as this pandemic turned out to be. What is it about Amazon that made it possible for us to doso? It’s because we weren’t starting from a standing start. We had been iterating on and remaking ourfulfillment capabilities for nearly two decades. In every business we pursue, we’re constantly experimentingand inventing. We’re divinely discontented with customer experiences, whether they’re our own or not. Webelieve these customer experiences can always be better, and we strive to make customers’\n", + "Metadata: {'year': 2021, 'source': 'AMZN-2021-Shareholder-Letter.pdf'}\n", + "Score: 0.6166433691978455\n", + "\n", + "\n" + ] + } + ], + "source": [ + "results_with_scores = db.similarity_search_with_score(query)\n", + "\n", + "for doc, score in results_with_scores:\n", + " print(f\"Content: {doc.page_content}\\nMetadata: {doc.metadata}\\nScore: {score}\\n\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b09935f9-3298-4dc4-84c4-5abfb75e01da", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain.prompts import PromptTemplate\n", + "\n", + "prompt_template = \"\"\"\n", + "[INST] <>\n", + "Use the context provided to answer the question at the end. If you don't know the answer just say that you don't know, don't try to make up an answer.\n", + "<>\n", + "\n", + "Context:\n", + "--------------\n", + "{context}\n", + "--------------\n", + "\n", + "Question: {question} [/INST]\n", + "\"\"\"\n", + "\n", + "PROMPT = PromptTemplate(\n", + " template=prompt_template,\n", + " input_variables=[\"context\", \"question\"]\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ddaea0f1-ac4b-493c-a3e6-e71bf68dbb22", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain import PromptTemplate, SagemakerEndpoint\n", + "from langchain.llms.sagemaker_endpoint import LLMContentHandler\n", + "from langchain.chains.question_answering import load_qa_chain\n", + "from langchain.chains import RetrievalQA\n", + "import json\n", + "\n", + "class QAContentHandler(LLMContentHandler):\n", + " content_type = \"application/json\"\n", + " accepts = \"application/json\"\n", + " \n", + " def transform_input(self, prompt: str, model_kwargs: dict) -> bytes:\n", + " input_str = json.dumps(\n", + " {\"inputs\": [[\n", + " {\n", + " \"role\": \"system\",\n", + " \"content\": \"\",\n", + " },\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": prompt\n", + " }\n", + " ]],\n", + " \"parameters\": (**model_kwargs)\n", + " })\n", + " return input_str.encode('utf-8')\n", + " \n", + " def transform_output(self, output: bytes) -> str:\n", + " response_json = json.loads(output.read().decode(\"utf-8\"))\n", + " return respons_json[0][\"generation\"][\"content\"]\n", + " \n", + "qa_content_handler = QAContentHandler()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4ad13223-e172-49a5-95cd-18fe05ad1609", + "metadata": {}, + "outputs": [], + "source": [ + "llm_model_endpoint_name =" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8d9d5872-46d8-4212-af49-d868e4d83857", + "metadata": {}, + "outputs": [], + "source": [ + "llm = SagemakerEndpoint(\n", + " endpoint_name=llm_model_endpoint_name,\n", + " region_name=aws_region,\n", + " model_kwargs={\"max_new_tokens\": 1000, \"top_p\": 0.9, \"temperature\": 1e-11},\n", + " endpoint_kwargs={\"CustomAttributes\": 'acept_eula=true'},\n", + " content_handler=qa_content_handler\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d832b58f-a2a2-4ed1-a319-6995ebbc7d5a", + "metadata": {}, + "outputs": [], + "source": [ + "query = \"\"\n", + "llm.predict(query)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d7b64170-264a-46eb-9ba0-a65917a0f698", + "metadata": {}, + "outputs": [], + "source": [ + "qa_chain = RetrievalQA.from_chain_type(\n", + " llm,\n", + " chain_type='stuff',\n", + " retriever=db.as_retriever(),\n", + " return_source_documents=True,\n", + " chain_type_kwargs={\"prompt\": PROMPT}\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "60904f87-041c-4cd2-af2f-fad18ae339d8", + "metadata": {}, + "outputs": [], + "source": [ + "query = \"\"\n", + "result = qa_chain({\"query\": query})\n", + "print(f'Query: {result[\"query\"]}\\n')\n", + "print(f'Result: {result[\"result\"]}\\n')\n", + "print(f'Context Documents: ')\n", + "for srcdoc in result[\"source_documents\"]:\n", + " print(f'{srcdoc}\\n')" + ] + } + ], + "metadata": { + "availableInstances": [ + { + "_defaultOrder": 0, + "_isFastLaunch": true, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 4, + "name": "ml.t3.medium", + "vcpuNum": 2 + }, + { + "_defaultOrder": 1, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.t3.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 2, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.t3.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 3, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.t3.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 4, + "_isFastLaunch": true, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.m5.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 5, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.m5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 6, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.m5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 7, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.m5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 8, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.m5.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 9, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.m5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 10, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.m5.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 11, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.m5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 12, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.m5d.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 13, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.m5d.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 14, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.m5d.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 15, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.m5d.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 16, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.m5d.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 17, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.m5d.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 18, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.m5d.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 19, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.m5d.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 20, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": true, + "memoryGiB": 0, + "name": "ml.geospatial.interactive", + "supportedImageNames": [ + "sagemaker-geospatial-v1-0" + ], + "vcpuNum": 0 + }, + { + "_defaultOrder": 21, + "_isFastLaunch": true, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 4, + "name": "ml.c5.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 22, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.c5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 23, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.c5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 24, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.c5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 25, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 72, + "name": "ml.c5.9xlarge", + "vcpuNum": 36 + }, + { + "_defaultOrder": 26, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 96, + "name": "ml.c5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 27, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 144, + "name": "ml.c5.18xlarge", + "vcpuNum": 72 + }, + { + "_defaultOrder": 28, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.c5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 29, + "_isFastLaunch": true, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.g4dn.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 30, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.g4dn.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 31, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.g4dn.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 32, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.g4dn.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 33, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.g4dn.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 34, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.g4dn.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 35, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 61, + "name": "ml.p3.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 36, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 244, + "name": "ml.p3.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 37, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 488, + "name": "ml.p3.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 38, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 768, + "name": "ml.p3dn.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 39, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.r5.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 40, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.r5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 41, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.r5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 42, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.r5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 43, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.r5.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 44, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.r5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 45, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 512, + "name": "ml.r5.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 46, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 768, + "name": "ml.r5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 47, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.g5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 48, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.g5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 49, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.g5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 50, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.g5.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 51, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.g5.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 52, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.g5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 53, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.g5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 54, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 768, + "name": "ml.g5.48xlarge", + "vcpuNum": 192 + }, + { + "_defaultOrder": 55, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 1152, + "name": "ml.p4d.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 56, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 1152, + "name": "ml.p4de.24xlarge", + "vcpuNum": 96 + } + ], + "kernelspec": { + "display_name": "Python 3 (Data Science 3.0)", + "language": "python", + "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east-2:429704687514:image/sagemaker-data-science-310-v1" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/sagemaker-exercises/__pycache__/visuals.cpython-310.pyc b/sagemaker-exercises/__pycache__/visuals.cpython-310.pyc new file mode 100644 index 0000000..ce2aece Binary files /dev/null and b/sagemaker-exercises/__pycache__/visuals.cpython-310.pyc differ diff --git a/sagemaker-exercises/completed-code_game-of-wines.ipynb b/sagemaker-exercises/completed-code_game-of-wines.ipynb new file mode 100644 index 0000000..ae233a2 --- /dev/null +++ b/sagemaker-exercises/completed-code_game-of-wines.ipynb @@ -0,0 +1,10435 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Part 1: Using Data Science to Understand What Makes Wine Taste Good" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Section 1: Data Exploration\n", + "\n", + "In this section, we'll do some exploratory analysis to understand the nature of our data and the underlying distribution." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### First, import some necessary libraries. \n", + "\n", + "### Click the below cell block and run it." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Import libraries necessary for this project\n", + "import numpy as np\n", + "import pandas as pd\n", + "from time import time\n", + "from IPython.display import display # Allows the use of display() for displaying DataFrames\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Import supplementary visualization code visuals.py from project root folder\n", + "import visuals as vs\n", + "\n", + "# Pretty display for notebooks\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Usage of these libraries:\n", + "* [numpy](http://www.numpy.org/) is a package in python that is used for scientific computing. It supports higher-order mathematical functions, higher dimensional arrays, matrices and other data structures.\n", + "* [pandas](https://pandas.pydata.org/) is a very popular library that is used for a lot of data analysis and statistics related problems.\n", + "* [time](https://docs.python.org/3.7/library/time.html) - standard module in python that allows for time related functions\n", + "* [display](http://ipython.readthedocs.io/en/stable/api/generated/IPython.display.html?highlight=display) is a module in the IPython toolkit that helps you display data structures in a nice, readable format.\n", + "* [matplotlib](https://matplotlib.org/) is a very popular visualization library that lets you create a wide array of figures, charts and graphs in the IPython Notebook\n", + "* [seaborn](https://seaborn.pydata.org/index.html) is another visualization tool that uses matplotlib underneath, and provides you with easy-to-use APIs for visualization. It also makes your graphs more prettier!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Next, we'll load the dataset for red wines, and display the first 5 columns. Run the below cell block" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
07.40.700.001.90.07611.034.00.99783.510.569.45
17.80.880.002.60.09825.067.00.99683.200.689.85
27.80.760.042.30.09215.054.00.99703.260.659.85
311.20.280.561.90.07517.060.00.99803.160.589.86
47.40.700.001.90.07611.034.00.99783.510.569.45
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "0 7.4 0.70 0.00 1.9 0.076 \n", + "1 7.8 0.88 0.00 2.6 0.098 \n", + "2 7.8 0.76 0.04 2.3 0.092 \n", + "3 11.2 0.28 0.56 1.9 0.075 \n", + "4 7.4 0.70 0.00 1.9 0.076 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "0 11.0 34.0 0.9978 3.51 0.56 \n", + "1 25.0 67.0 0.9968 3.20 0.68 \n", + "2 15.0 54.0 0.9970 3.26 0.65 \n", + "3 17.0 60.0 0.9980 3.16 0.58 \n", + "4 11.0 34.0 0.9978 3.51 0.56 \n", + "\n", + " alcohol quality \n", + "0 9.4 5 \n", + "1 9.8 5 \n", + "2 9.8 5 \n", + "3 9.8 6 \n", + "4 9.4 5 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Load the Red Wines dataset\n", + "data = pd.read_csv(\"data/winequality-red.csv\", sep=';')\n", + "\n", + "# Display the first five records\n", + "display(data.head(n=5))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Now, let's do some basic preliminary analysis of our data:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### We'll begin by first seeing if our data has any missing information" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "fixed acidity False\n", + "volatile acidity False\n", + "citric acid False\n", + "residual sugar False\n", + "chlorides False\n", + "free sulfur dioxide False\n", + "total sulfur dioxide False\n", + "density False\n", + "pH False\n", + "sulphates False\n", + "alcohol False\n", + "quality False\n", + "dtype: bool" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.isnull().any()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Examine the features in the data-set and their data types" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 1599 entries, 0 to 1598\n", + "Data columns (total 12 columns):\n", + "fixed acidity 1599 non-null float64\n", + "volatile acidity 1599 non-null float64\n", + "citric acid 1599 non-null float64\n", + "residual sugar 1599 non-null float64\n", + "chlorides 1599 non-null float64\n", + "free sulfur dioxide 1599 non-null float64\n", + "total sulfur dioxide 1599 non-null float64\n", + "density 1599 non-null float64\n", + "pH 1599 non-null float64\n", + "sulphates 1599 non-null float64\n", + "alcohol 1599 non-null float64\n", + "quality 1599 non-null int64\n", + "dtypes: float64(11), int64(1)\n", + "memory usage: 150.0 KB\n" + ] + } + ], + "source": [ + "data.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### The last column *quality* is a metric of how good a specific wine was rated to be. For our purposes, let's consider all wines with ratings 7 and above to be of very good quality, wines with 5 and 6 to be of average quality, and wines less than 5 to be of insipid quality." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total number of wine data: 1599\n", + "Wines with rating 7 and above: 217\n", + "Wines with rating less than 5: 63\n", + "Wines with rating 5 and 6: 1599\n", + "Percentage of wines with quality 7 and above: 13.57%\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
count1599.01599.01599.01599.01599.01599.01599.01599.01599.01599.01599.01599.0
mean8.01.00.03.00.016.046.01.03.01.010.06.0
std2.00.00.01.00.010.033.00.00.00.01.01.0
min5.00.00.01.00.01.06.01.03.00.08.03.0
25%7.00.00.02.00.07.022.01.03.01.010.05.0
50%8.01.00.02.00.014.038.01.03.01.010.06.0
75%9.01.00.03.00.021.062.01.03.01.011.06.0
max16.02.01.016.01.072.0289.01.04.02.015.08.0
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar \\\n", + "count 1599.0 1599.0 1599.0 1599.0 \n", + "mean 8.0 1.0 0.0 3.0 \n", + "std 2.0 0.0 0.0 1.0 \n", + "min 5.0 0.0 0.0 1.0 \n", + "25% 7.0 0.0 0.0 2.0 \n", + "50% 8.0 1.0 0.0 2.0 \n", + "75% 9.0 1.0 0.0 3.0 \n", + "max 16.0 2.0 1.0 16.0 \n", + "\n", + " chlorides free sulfur dioxide total sulfur dioxide density pH \\\n", + "count 1599.0 1599.0 1599.0 1599.0 1599.0 \n", + "mean 0.0 16.0 46.0 1.0 3.0 \n", + "std 0.0 10.0 33.0 0.0 0.0 \n", + "min 0.0 1.0 6.0 1.0 3.0 \n", + "25% 0.0 7.0 22.0 1.0 3.0 \n", + "50% 0.0 14.0 38.0 1.0 3.0 \n", + "75% 0.0 21.0 62.0 1.0 3.0 \n", + "max 1.0 72.0 289.0 1.0 4.0 \n", + "\n", + " sulphates alcohol quality \n", + "count 1599.0 1599.0 1599.0 \n", + "mean 1.0 10.0 6.0 \n", + "std 0.0 1.0 1.0 \n", + "min 0.0 8.0 3.0 \n", + "25% 1.0 10.0 5.0 \n", + "50% 1.0 10.0 6.0 \n", + "75% 1.0 11.0 6.0 \n", + "max 2.0 15.0 8.0 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "n_wines = data.shape[0]\n", + "\n", + "# Number of wines with quality rating above 6\n", + "quality_above_6 = data.loc[(data['quality'] > 6)]\n", + "n_above_6 = quality_above_6.shape[0]\n", + "\n", + "# Number of wines with quality rating below 5\n", + "quality_below_5 = data.loc[(data['quality'] < 5)]\n", + "n_below_5 = quality_below_5.shape[0]\n", + "\n", + "# Number of wines with quality rating between 5 to 6\n", + "quality_between_5 = data.loc[(data['quality']) >= 5 & (data['quality'] <= 6)]\n", + "n_between_5 = quality_between_5.shape[0]\n", + "\n", + "# Percentage of wines with quality rating above 6\n", + "greater_percent = n_above_6*100/n_wines\n", + "\n", + "# Print the results\n", + "print(\"Total number of wine data: {}\".format(n_wines))\n", + "print(\"Wines with rating 7 and above: {}\".format(n_above_6))\n", + "print(\"Wines with rating less than 5: {}\".format(n_below_5))\n", + "print(\"Wines with rating 5 and 6: {}\".format(n_between_5))\n", + "print(\"Percentage of wines with quality 7 and above: {:.2f}%\".format(greater_percent))\n", + "\n", + "# Some more additional data analysis\n", + "display(np.round(data.describe()))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run the following cell block to see the distributions on a graph" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeIAAAF0CAYAAAD/1jr9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYBBBDACAQf8fDfOlE1zsciYAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualize skewed continuous features of original data\n", + "vs.distribution(data, \"quality\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As we can see, most fines fall under **average quality (between 5 and 6)**. Wines which were rated high are in the lower hundreds, whereas there are very few wines that aren't tasty enough (low ratings).\n", + "\n", + "Next, since our aim is to predict the quality of wines, we’ll now extract the last column and store it separately." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Section 2: Exploring Relationships between features" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAACPIAAAi+CAYAAACG3v2RAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pd.plotting.scatter_matrix(data, alpha = 0.3, figsize = (40,40), diagonal = 'kde');" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0sAAAL/CAYAAAC3aFyhAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "correlation = data.corr()\n", + "#display(correlation)\n", + "plt.figure(figsize=(14, 12))\n", + "heatmap = sns.heatmap(correlation, annot=True, linewidths=0, vmin=-1, cmap=\"RdBu_r\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaQAAAGkCAYAAAB+TFE1AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngUAQEfx/cb9tIqgCahIAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Create a new dataframe containing only pH and fixed acidity columns to visualize their co-relations\n", + "fixedAcidity_pH = data[['pH', 'fixed acidity']]\n", + "\n", + "#Initialize a joint-grid with the dataframe, using seaborn library\n", + "gridA = sns.JointGrid(x=\"fixed acidity\", y=\"pH\", data=fixedAcidity_pH, size=6)\n", + "\n", + "#Draws a regression plot in the grid \n", + "gridA = gridA.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "\n", + "#Draws a distribution plot in the same grid\n", + "gridA = gridA.plot_marginals(sns.distplot)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAawAAAGkCAYAAABtmxHBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fixedAcidity_citricAcid = data[['citric acid', 'fixed acidity']]\n", + "g = sns.JointGrid(x=\"fixed acidity\", y=\"citric acid\", data=fixedAcidity_citricAcid, size=6)\n", + "g = g.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "g = g.plot_marginals(sns.distplot)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbEAAAGkCAYAAAC/yxuZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fixedAcidity_density = data[['density', 'fixed acidity']]\n", + "gridB = sns.JointGrid(x=\"fixed acidity\", y=\"density\", data=fixedAcidity_density, size=6)\n", + "gridB = gridB.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "gridB = gridB.plot_marginals(sns.distplot)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZoAAAGkCAYAAAAIduO+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\npyjREEII4RQlGkIIIZz6P16JEAOfJK5fAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "volatileAcidity_quality = data[['quality', 'volatile acidity']]\n", + "g = sns.JointGrid(x=\"volatile acidity\", y=\"quality\", data=volatileAcidity_quality, size=6)\n", + "g = g.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "g = g.plot_marginals(sns.distplot)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAsQAAAGkCAYAAAA2STNEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#We can visualize relationships of discreet values better with a bar plot\n", + "\n", + "fig, axs = plt.subplots(ncols=1,figsize=(10,6))\n", + "sns.barplot(x='quality', y='volatile acidity', data=volatileAcidity_quality, ax=axs)\n", + "plt.title('quality VS volatile acidity')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "plt.gcf().clear()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZoAAAGkCAYAAAAIduO+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nqP8BIdlJLy1DvrYAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "quality_alcohol = data[['alcohol', 'quality']]\n", + "\n", + "g = sns.JointGrid(x=\"alcohol\", y=\"quality\", data=quality_alcohol, size=6)\n", + "g = g.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "g = g.plot_marginals(sns.distplot)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAsQAAAGkCAYAAAA2STNEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nqQliAABK7f8D/K4MEOMdx/oAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(ncols=1,figsize=(10,6))\n", + "sns.barplot(x='quality', y='alcohol', data=quality_alcohol, ax=axs)\n", + "plt.title('quality VS alcohol')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "plt.gcf().clear()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# TODO: Select any two features of your choice and view their relationship\n", + "# featureA = 'pH'\n", + "# featureB = 'alcohol'\n", + "# featureA_featureB = data[[featureA, featureB]]\n", + "\n", + "# g = sns.JointGrid(x=featureA, y=featureB, data=featureA_featureB, size=6)\n", + "# g = g.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "# g = g.plot_marginals(sns.distplot)\n", + "\n", + "# fig, axs = plt.subplots(ncols=1,figsize=(10,6))\n", + "# sns.barplot(x=featureA, y=featureB, data=featureA_featureB, ax=axs)\n", + "# plt.title('quality VS alcohol')\n", + "\n", + "# plt.tight_layout()\n", + "# plt.show()\n", + "# plt.gcf().clear()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Outlier Detection:\n", + "\n", + "Detecting outliers in the data is extremely important in the data preprocessing step of any analysis. The presence of outliers can often skew results which take into consideration these data points. There are many \"rules of thumb\" for what constitutes an outlier in a dataset. Here, we will use [Tukey's Method for identfying outliers](http://datapigtechnologies.com/blog/index.php/highlighting-outliers-in-your-data-with-the-tukey-method/): An **outlier step** is calculated as **1.5** times the **interquartile range (IQR)**. A data point with a feature that is beyond an outlier step outside of the IQR for that feature is considered abnormal.\n", + "\n", + "In the code block below:\n", + "\n", + "* Assign the value of the 25th percentile for the given feature to Q1. Use np.percentile for this.\n", + "* Assign the value of the 75th percentile for the given feature to Q3. Again, use np.percentile.\n", + "* Assign the calculation of an outlier step for the given feature to step.\n", + "* Optionally remove data points from the dataset by adding indices to the outliers list.\n", + "\n", + "**NOTE:** If you choose to remove any outliers, ensure that the sample data does not contain any of these points!\n", + "Once you have performed this implementation, the dataset will be stored in the variable good_data." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data points considered outliers for the feature 'fixed acidity':\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
20512.80.3000.742.60.0959.028.00.999403.200.7710.87
20612.80.3000.742.60.0959.028.00.999403.200.7710.87
24315.00.2100.442.20.07510.024.01.000053.070.849.27
24415.00.2100.442.20.07510.024.01.000053.070.849.27
26412.50.5600.492.40.0645.027.00.999903.080.8710.95
29413.30.3400.523.20.09417.053.01.001403.050.819.56
32813.40.2700.622.60.0826.021.01.000203.160.679.76
33812.40.4900.583.00.10328.099.01.000803.161.0011.56
33912.50.2800.542.30.08212.029.00.999703.111.369.87
34713.80.4900.673.00.0936.015.00.998603.020.9312.06
35313.50.5300.794.80.12023.077.01.001803.180.7713.05
35912.60.3800.662.60.08810.041.01.001003.170.689.86
36312.50.4600.632.00.0716.015.00.998802.990.8710.25
36412.80.6150.665.80.0837.042.01.002203.070.7310.07
36612.80.6150.665.80.0837.042.01.002203.070.7310.07
37414.00.4100.633.80.0896.047.01.001403.010.8110.86
38113.70.4150.682.90.08517.043.01.001403.060.8010.06
39113.70.4150.682.90.08517.043.01.001403.060.8010.06
39412.70.6000.652.30.0636.025.00.999703.030.579.95
40912.50.4600.494.50.07026.049.00.998103.050.579.64
42912.80.8400.632.40.08813.035.00.999703.100.6010.46
44012.60.3100.722.20.0726.029.00.998702.880.829.88
44215.60.6850.763.70.1006.043.01.003202.950.6811.27
44612.50.3800.602.60.08131.072.00.999603.100.7310.55
47013.00.3200.652.60.09315.047.00.999603.050.6110.65
47212.50.3700.552.60.08325.068.00.999503.150.8210.46
50913.30.2900.752.80.08423.043.00.998603.040.6811.47
51012.40.4200.494.60.07319.043.00.997803.020.619.55
51612.50.6000.494.30.1005.014.01.001003.250.7411.96
53812.90.3500.495.80.0665.035.01.001403.200.6612.07
54414.30.3100.741.80.0756.015.01.000802.860.798.46
54812.40.3500.492.60.07927.069.00.999403.120.7510.46
55415.50.6450.494.20.09510.023.01.003152.920.7411.15
55515.50.6450.494.20.09510.023.01.003152.920.7411.15
55715.60.6450.494.20.09510.023.01.003152.920.7411.15
55913.00.4700.494.30.0856.047.01.002103.300.6812.76
56012.70.6000.492.80.0755.019.00.999403.140.5711.45
56413.00.4700.494.30.0856.047.01.002103.300.6812.76
56512.70.6000.492.80.0755.019.00.999403.140.5711.45
59612.40.4000.512.00.0596.024.00.999403.040.609.36
59912.70.5900.452.30.08211.022.01.000003.000.709.36
60113.20.4600.522.20.07112.035.01.000603.100.569.06
60313.20.4600.522.20.07112.035.01.000603.100.569.06
61113.20.3800.552.70.0815.016.01.000602.980.549.45
65215.90.3600.657.50.09622.071.00.997602.980.8414.95
68013.30.4300.581.90.07015.040.01.000403.060.499.05
81112.90.5000.552.80.0727.024.01.000123.090.6810.96
81412.60.4100.542.80.10319.041.00.999393.210.7611.36
122412.60.3900.492.50.0808.020.00.999203.070.8210.36
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "205 12.8 0.300 0.74 2.6 0.095 \n", + "206 12.8 0.300 0.74 2.6 0.095 \n", + "243 15.0 0.210 0.44 2.2 0.075 \n", + "244 15.0 0.210 0.44 2.2 0.075 \n", + "264 12.5 0.560 0.49 2.4 0.064 \n", + "294 13.3 0.340 0.52 3.2 0.094 \n", + "328 13.4 0.270 0.62 2.6 0.082 \n", + "338 12.4 0.490 0.58 3.0 0.103 \n", + "339 12.5 0.280 0.54 2.3 0.082 \n", + "347 13.8 0.490 0.67 3.0 0.093 \n", + "353 13.5 0.530 0.79 4.8 0.120 \n", + "359 12.6 0.380 0.66 2.6 0.088 \n", + "363 12.5 0.460 0.63 2.0 0.071 \n", + "364 12.8 0.615 0.66 5.8 0.083 \n", + "366 12.8 0.615 0.66 5.8 0.083 \n", + "374 14.0 0.410 0.63 3.8 0.089 \n", + "381 13.7 0.415 0.68 2.9 0.085 \n", + "391 13.7 0.415 0.68 2.9 0.085 \n", + "394 12.7 0.600 0.65 2.3 0.063 \n", + "409 12.5 0.460 0.49 4.5 0.070 \n", + "429 12.8 0.840 0.63 2.4 0.088 \n", + "440 12.6 0.310 0.72 2.2 0.072 \n", + "442 15.6 0.685 0.76 3.7 0.100 \n", + "446 12.5 0.380 0.60 2.6 0.081 \n", + "470 13.0 0.320 0.65 2.6 0.093 \n", + "472 12.5 0.370 0.55 2.6 0.083 \n", + "509 13.3 0.290 0.75 2.8 0.084 \n", + "510 12.4 0.420 0.49 4.6 0.073 \n", + "516 12.5 0.600 0.49 4.3 0.100 \n", + "538 12.9 0.350 0.49 5.8 0.066 \n", + "544 14.3 0.310 0.74 1.8 0.075 \n", + "548 12.4 0.350 0.49 2.6 0.079 \n", + "554 15.5 0.645 0.49 4.2 0.095 \n", + "555 15.5 0.645 0.49 4.2 0.095 \n", + "557 15.6 0.645 0.49 4.2 0.095 \n", + "559 13.0 0.470 0.49 4.3 0.085 \n", + "560 12.7 0.600 0.49 2.8 0.075 \n", + "564 13.0 0.470 0.49 4.3 0.085 \n", + "565 12.7 0.600 0.49 2.8 0.075 \n", + "596 12.4 0.400 0.51 2.0 0.059 \n", + "599 12.7 0.590 0.45 2.3 0.082 \n", + "601 13.2 0.460 0.52 2.2 0.071 \n", + "603 13.2 0.460 0.52 2.2 0.071 \n", + "611 13.2 0.380 0.55 2.7 0.081 \n", + "652 15.9 0.360 0.65 7.5 0.096 \n", + "680 13.3 0.430 0.58 1.9 0.070 \n", + "811 12.9 0.500 0.55 2.8 0.072 \n", + "814 12.6 0.410 0.54 2.8 0.103 \n", + "1224 12.6 0.390 0.49 2.5 0.080 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "205 9.0 28.0 0.99940 3.20 0.77 \n", + "206 9.0 28.0 0.99940 3.20 0.77 \n", + "243 10.0 24.0 1.00005 3.07 0.84 \n", + "244 10.0 24.0 1.00005 3.07 0.84 \n", + "264 5.0 27.0 0.99990 3.08 0.87 \n", + "294 17.0 53.0 1.00140 3.05 0.81 \n", + "328 6.0 21.0 1.00020 3.16 0.67 \n", + "338 28.0 99.0 1.00080 3.16 1.00 \n", + "339 12.0 29.0 0.99970 3.11 1.36 \n", + "347 6.0 15.0 0.99860 3.02 0.93 \n", + "353 23.0 77.0 1.00180 3.18 0.77 \n", + "359 10.0 41.0 1.00100 3.17 0.68 \n", + "363 6.0 15.0 0.99880 2.99 0.87 \n", + "364 7.0 42.0 1.00220 3.07 0.73 \n", + "366 7.0 42.0 1.00220 3.07 0.73 \n", + "374 6.0 47.0 1.00140 3.01 0.81 \n", + "381 17.0 43.0 1.00140 3.06 0.80 \n", + "391 17.0 43.0 1.00140 3.06 0.80 \n", + "394 6.0 25.0 0.99970 3.03 0.57 \n", + "409 26.0 49.0 0.99810 3.05 0.57 \n", + "429 13.0 35.0 0.99970 3.10 0.60 \n", + "440 6.0 29.0 0.99870 2.88 0.82 \n", + "442 6.0 43.0 1.00320 2.95 0.68 \n", + "446 31.0 72.0 0.99960 3.10 0.73 \n", + "470 15.0 47.0 0.99960 3.05 0.61 \n", + "472 25.0 68.0 0.99950 3.15 0.82 \n", + "509 23.0 43.0 0.99860 3.04 0.68 \n", + "510 19.0 43.0 0.99780 3.02 0.61 \n", + "516 5.0 14.0 1.00100 3.25 0.74 \n", + "538 5.0 35.0 1.00140 3.20 0.66 \n", + "544 6.0 15.0 1.00080 2.86 0.79 \n", + "548 27.0 69.0 0.99940 3.12 0.75 \n", + "554 10.0 23.0 1.00315 2.92 0.74 \n", + "555 10.0 23.0 1.00315 2.92 0.74 \n", + "557 10.0 23.0 1.00315 2.92 0.74 \n", + "559 6.0 47.0 1.00210 3.30 0.68 \n", + "560 5.0 19.0 0.99940 3.14 0.57 \n", + "564 6.0 47.0 1.00210 3.30 0.68 \n", + "565 5.0 19.0 0.99940 3.14 0.57 \n", + "596 6.0 24.0 0.99940 3.04 0.60 \n", + "599 11.0 22.0 1.00000 3.00 0.70 \n", + "601 12.0 35.0 1.00060 3.10 0.56 \n", + "603 12.0 35.0 1.00060 3.10 0.56 \n", + "611 5.0 16.0 1.00060 2.98 0.54 \n", + "652 22.0 71.0 0.99760 2.98 0.84 \n", + "680 15.0 40.0 1.00040 3.06 0.49 \n", + "811 7.0 24.0 1.00012 3.09 0.68 \n", + "814 19.0 41.0 0.99939 3.21 0.76 \n", + "1224 8.0 20.0 0.99920 3.07 0.82 \n", + "\n", + " alcohol quality \n", + "205 10.8 7 \n", + "206 10.8 7 \n", + "243 9.2 7 \n", + "244 9.2 7 \n", + "264 10.9 5 \n", + "294 9.5 6 \n", + "328 9.7 6 \n", + "338 11.5 6 \n", + "339 9.8 7 \n", + "347 12.0 6 \n", + "353 13.0 5 \n", + "359 9.8 6 \n", + "363 10.2 5 \n", + "364 10.0 7 \n", + "366 10.0 7 \n", + "374 10.8 6 \n", + "381 10.0 6 \n", + "391 10.0 6 \n", + "394 9.9 5 \n", + "409 9.6 4 \n", + "429 10.4 6 \n", + "440 9.8 8 \n", + "442 11.2 7 \n", + "446 10.5 5 \n", + "470 10.6 5 \n", + "472 10.4 6 \n", + "509 11.4 7 \n", + "510 9.5 5 \n", + "516 11.9 6 \n", + "538 12.0 7 \n", + "544 8.4 6 \n", + "548 10.4 6 \n", + "554 11.1 5 \n", + "555 11.1 5 \n", + "557 11.1 5 \n", + "559 12.7 6 \n", + "560 11.4 5 \n", + "564 12.7 6 \n", + "565 11.4 5 \n", + "596 9.3 6 \n", + "599 9.3 6 \n", + "601 9.0 6 \n", + "603 9.0 6 \n", + "611 9.4 5 \n", + "652 14.9 5 \n", + "680 9.0 5 \n", + "811 10.9 6 \n", + "814 11.3 6 \n", + "1224 10.3 6 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data points considered outliers for the feature 'volatile acidity':\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
385.71.1300.091.500.1727.019.00.994003.500.489.84
945.01.0200.041.400.04541.085.00.993803.750.4810.54
1207.31.0700.091.700.17810.089.00.996203.300.579.05
1268.21.3300.001.700.0813.012.00.996403.530.4910.95
1278.11.3300.001.800.0823.012.00.996403.540.4810.95
1347.91.0400.052.200.08413.029.00.995903.220.559.96
1996.91.0900.062.100.06112.031.00.994803.510.4311.44
5535.01.0400.241.600.05032.096.00.993403.740.6211.55
6729.81.2400.342.000.07932.0151.00.998003.150.539.55
6907.41.1850.004.250.0975.014.00.996603.630.5410.73
70010.61.0200.432.900.07626.088.00.998403.080.5710.16
7058.41.0350.156.000.07311.054.00.999003.370.499.95
71010.61.0250.432.800.08021.084.00.998503.060.5710.15
7247.51.1150.103.100.0865.012.00.995803.540.6011.24
8998.31.0200.023.400.0846.011.00.998923.480.4911.03
12616.31.0200.002.000.08317.024.00.994373.590.5511.24
12997.61.5800.002.100.1375.09.00.994763.500.4010.93
13128.01.1800.211.900.08314.041.00.995323.340.4710.55
14676.71.0400.082.300.06719.032.00.996483.520.5711.04
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "38 5.7 1.130 0.09 1.50 0.172 \n", + "94 5.0 1.020 0.04 1.40 0.045 \n", + "120 7.3 1.070 0.09 1.70 0.178 \n", + "126 8.2 1.330 0.00 1.70 0.081 \n", + "127 8.1 1.330 0.00 1.80 0.082 \n", + "134 7.9 1.040 0.05 2.20 0.084 \n", + "199 6.9 1.090 0.06 2.10 0.061 \n", + "553 5.0 1.040 0.24 1.60 0.050 \n", + "672 9.8 1.240 0.34 2.00 0.079 \n", + "690 7.4 1.185 0.00 4.25 0.097 \n", + "700 10.6 1.020 0.43 2.90 0.076 \n", + "705 8.4 1.035 0.15 6.00 0.073 \n", + "710 10.6 1.025 0.43 2.80 0.080 \n", + "724 7.5 1.115 0.10 3.10 0.086 \n", + "899 8.3 1.020 0.02 3.40 0.084 \n", + "1261 6.3 1.020 0.00 2.00 0.083 \n", + "1299 7.6 1.580 0.00 2.10 0.137 \n", + "1312 8.0 1.180 0.21 1.90 0.083 \n", + "1467 6.7 1.040 0.08 2.30 0.067 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "38 7.0 19.0 0.99400 3.50 0.48 \n", + "94 41.0 85.0 0.99380 3.75 0.48 \n", + "120 10.0 89.0 0.99620 3.30 0.57 \n", + "126 3.0 12.0 0.99640 3.53 0.49 \n", + "127 3.0 12.0 0.99640 3.54 0.48 \n", + "134 13.0 29.0 0.99590 3.22 0.55 \n", + "199 12.0 31.0 0.99480 3.51 0.43 \n", + "553 32.0 96.0 0.99340 3.74 0.62 \n", + "672 32.0 151.0 0.99800 3.15 0.53 \n", + "690 5.0 14.0 0.99660 3.63 0.54 \n", + "700 26.0 88.0 0.99840 3.08 0.57 \n", + "705 11.0 54.0 0.99900 3.37 0.49 \n", + "710 21.0 84.0 0.99850 3.06 0.57 \n", + "724 5.0 12.0 0.99580 3.54 0.60 \n", + "899 6.0 11.0 0.99892 3.48 0.49 \n", + "1261 17.0 24.0 0.99437 3.59 0.55 \n", + "1299 5.0 9.0 0.99476 3.50 0.40 \n", + "1312 14.0 41.0 0.99532 3.34 0.47 \n", + "1467 19.0 32.0 0.99648 3.52 0.57 \n", + "\n", + " alcohol quality \n", + "38 9.8 4 \n", + "94 10.5 4 \n", + "120 9.0 5 \n", + "126 10.9 5 \n", + "127 10.9 5 \n", + "134 9.9 6 \n", + "199 11.4 4 \n", + "553 11.5 5 \n", + "672 9.5 5 \n", + "690 10.7 3 \n", + "700 10.1 6 \n", + "705 9.9 5 \n", + "710 10.1 5 \n", + "724 11.2 4 \n", + "899 11.0 3 \n", + "1261 11.2 4 \n", + "1299 10.9 3 \n", + "1312 10.5 5 \n", + "1467 11.0 4 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data points considered outliers for the feature 'citric acid':\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
1519.20.521.03.40.6132.069.00.99962.742.09.44
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "151 9.2 0.52 1.0 3.4 0.61 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "151 32.0 69.0 0.9996 2.74 2.0 \n", + "\n", + " alcohol quality \n", + "151 9.4 4 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data points considered outliers for the feature 'residual sugar':\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
97.50.5000.366.100.07117.0102.00.997803.350.8010.5000005
117.50.5000.366.100.07117.0102.00.997803.350.8010.5000005
148.90.6200.183.800.17652.0145.00.998603.160.889.2000005
158.90.6200.193.900.17051.0148.00.998603.170.939.2000005
187.40.5900.084.400.0866.029.00.997403.380.509.0000004
336.90.6050.1210.700.07340.083.00.999303.450.529.4000006
357.80.6450.005.500.0865.018.00.998603.400.559.6000006
397.30.4500.365.900.07412.087.00.997803.330.8310.5000005
407.30.4500.365.900.07412.087.00.997803.330.8310.5000005
557.70.6200.043.800.08425.045.00.997803.340.539.5000005
577.50.6300.125.100.11150.0110.00.998303.260.779.4000005
647.20.7250.054.650.0864.011.00.996203.410.3910.9000005
657.20.7250.054.650.0864.011.00.996203.410.3910.9000005
1547.10.4300.425.500.07029.0129.00.997303.420.7210.5000005
1557.10.4300.425.500.07128.0128.00.997303.420.7110.5000005
1567.10.4300.425.500.07029.0129.00.997303.420.7210.5000005
1577.10.4300.425.500.07128.0128.00.997303.420.7110.5000005
1637.40.6000.267.300.07036.0121.00.998203.370.499.4000005
1647.30.5900.267.200.07035.0121.00.998103.370.499.4000005
1926.80.6300.123.800.09916.0126.00.996903.280.619.5000005
2157.00.4900.495.600.06026.0121.00.997403.340.7610.5000005
26911.50.1800.514.000.1044.023.00.999603.280.9710.1000006
2707.90.5450.064.000.08727.061.00.996503.360.6710.7000006
27111.50.1800.514.000.1044.023.00.999603.280.9710.1000006
27210.90.3700.584.000.07117.065.00.999353.220.7810.1000005
2747.50.6500.187.000.08827.094.00.999153.380.779.4000005
2757.90.5450.064.000.08727.061.00.996503.360.6710.7000006
27711.50.1800.514.000.1044.023.00.999603.280.9710.1000006
27810.30.3200.456.400.0735.013.00.997603.230.8212.6000008
2798.90.4000.325.600.08710.047.00.999103.380.7710.5000007
.......................................
12897.00.6000.304.500.06820.0110.00.999143.301.1710.2000005
12956.60.6300.004.300.09351.077.50.995583.200.459.5000005
12966.60.6300.004.300.09351.077.50.995583.200.459.5000005
13076.80.6800.093.900.06815.029.00.995243.410.5211.1000004
13317.80.8700.263.800.10731.067.00.996683.260.469.2000005
13587.40.6400.175.400.16852.098.00.997363.280.509.5000005
13737.70.7500.273.800.11034.089.00.996643.240.459.3000005
13886.60.6400.316.100.0837.049.00.997183.350.6810.3000005
13946.40.5700.143.900.07027.073.00.996693.320.489.2000005
14068.20.2400.345.100.0628.022.00.997403.220.9410.9000006
14128.20.2400.345.100.0628.022.00.997403.220.9410.9000006
14236.40.5300.093.900.12314.031.00.996803.500.6711.0000004
143410.20.5400.3715.400.21455.095.01.003693.180.779.0000006
143510.20.5400.3715.400.21455.095.01.003693.180.779.0000006
14376.80.9150.294.800.07015.039.00.995773.530.5411.1000005
14417.40.7850.195.200.09419.098.00.997133.160.529.5666676
14457.40.7850.195.200.09419.098.00.997133.160.529.6000006
14716.70.7000.083.750.0678.016.00.993343.430.5212.6000005
14749.90.5000.5013.800.20548.082.01.002423.160.758.8000005
14769.90.5000.5013.800.20548.082.01.002423.160.758.8000005
14787.10.8750.055.700.0823.014.00.998083.400.5210.2000003
15017.80.8200.294.300.08321.064.00.996423.160.539.4000005
15146.90.8400.214.100.07416.065.00.998423.530.729.2333336
15156.90.8400.214.100.07416.065.00.998423.530.729.2500006
15406.20.5200.084.400.07111.032.00.996463.560.6311.6000006
15526.30.6800.013.700.10332.054.00.995863.510.6611.3000006
15586.90.6300.336.700.23566.0115.00.997873.220.569.5000005
15745.60.3100.7813.900.07423.092.00.996773.390.4810.5000006
15776.20.7000.155.100.07613.027.00.996223.540.6011.9000006
15896.60.7250.207.800.07329.079.00.997703.290.549.2000005
\n", + "

155 rows × 12 columns

\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "9 7.5 0.500 0.36 6.10 0.071 \n", + "11 7.5 0.500 0.36 6.10 0.071 \n", + "14 8.9 0.620 0.18 3.80 0.176 \n", + "15 8.9 0.620 0.19 3.90 0.170 \n", + "18 7.4 0.590 0.08 4.40 0.086 \n", + "33 6.9 0.605 0.12 10.70 0.073 \n", + "35 7.8 0.645 0.00 5.50 0.086 \n", + "39 7.3 0.450 0.36 5.90 0.074 \n", + "40 7.3 0.450 0.36 5.90 0.074 \n", + "55 7.7 0.620 0.04 3.80 0.084 \n", + "57 7.5 0.630 0.12 5.10 0.111 \n", + "64 7.2 0.725 0.05 4.65 0.086 \n", + "65 7.2 0.725 0.05 4.65 0.086 \n", + "154 7.1 0.430 0.42 5.50 0.070 \n", + "155 7.1 0.430 0.42 5.50 0.071 \n", + "156 7.1 0.430 0.42 5.50 0.070 \n", + "157 7.1 0.430 0.42 5.50 0.071 \n", + "163 7.4 0.600 0.26 7.30 0.070 \n", + "164 7.3 0.590 0.26 7.20 0.070 \n", + "192 6.8 0.630 0.12 3.80 0.099 \n", + "215 7.0 0.490 0.49 5.60 0.060 \n", + "269 11.5 0.180 0.51 4.00 0.104 \n", + "270 7.9 0.545 0.06 4.00 0.087 \n", + "271 11.5 0.180 0.51 4.00 0.104 \n", + "272 10.9 0.370 0.58 4.00 0.071 \n", + "274 7.5 0.650 0.18 7.00 0.088 \n", + "275 7.9 0.545 0.06 4.00 0.087 \n", + "277 11.5 0.180 0.51 4.00 0.104 \n", + "278 10.3 0.320 0.45 6.40 0.073 \n", + "279 8.9 0.400 0.32 5.60 0.087 \n", + "... ... ... ... ... ... \n", + "1289 7.0 0.600 0.30 4.50 0.068 \n", + "1295 6.6 0.630 0.00 4.30 0.093 \n", + "1296 6.6 0.630 0.00 4.30 0.093 \n", + "1307 6.8 0.680 0.09 3.90 0.068 \n", + "1331 7.8 0.870 0.26 3.80 0.107 \n", + "1358 7.4 0.640 0.17 5.40 0.168 \n", + "1373 7.7 0.750 0.27 3.80 0.110 \n", + "1388 6.6 0.640 0.31 6.10 0.083 \n", + "1394 6.4 0.570 0.14 3.90 0.070 \n", + "1406 8.2 0.240 0.34 5.10 0.062 \n", + "1412 8.2 0.240 0.34 5.10 0.062 \n", + "1423 6.4 0.530 0.09 3.90 0.123 \n", + "1434 10.2 0.540 0.37 15.40 0.214 \n", + "1435 10.2 0.540 0.37 15.40 0.214 \n", + "1437 6.8 0.915 0.29 4.80 0.070 \n", + "1441 7.4 0.785 0.19 5.20 0.094 \n", + "1445 7.4 0.785 0.19 5.20 0.094 \n", + "1471 6.7 0.700 0.08 3.75 0.067 \n", + "1474 9.9 0.500 0.50 13.80 0.205 \n", + "1476 9.9 0.500 0.50 13.80 0.205 \n", + "1478 7.1 0.875 0.05 5.70 0.082 \n", + "1501 7.8 0.820 0.29 4.30 0.083 \n", + "1514 6.9 0.840 0.21 4.10 0.074 \n", + "1515 6.9 0.840 0.21 4.10 0.074 \n", + "1540 6.2 0.520 0.08 4.40 0.071 \n", + "1552 6.3 0.680 0.01 3.70 0.103 \n", + "1558 6.9 0.630 0.33 6.70 0.235 \n", + "1574 5.6 0.310 0.78 13.90 0.074 \n", + "1577 6.2 0.700 0.15 5.10 0.076 \n", + "1589 6.6 0.725 0.20 7.80 0.073 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "9 17.0 102.0 0.99780 3.35 0.80 \n", + "11 17.0 102.0 0.99780 3.35 0.80 \n", + "14 52.0 145.0 0.99860 3.16 0.88 \n", + "15 51.0 148.0 0.99860 3.17 0.93 \n", + "18 6.0 29.0 0.99740 3.38 0.50 \n", + "33 40.0 83.0 0.99930 3.45 0.52 \n", + "35 5.0 18.0 0.99860 3.40 0.55 \n", + "39 12.0 87.0 0.99780 3.33 0.83 \n", + "40 12.0 87.0 0.99780 3.33 0.83 \n", + "55 25.0 45.0 0.99780 3.34 0.53 \n", + "57 50.0 110.0 0.99830 3.26 0.77 \n", + "64 4.0 11.0 0.99620 3.41 0.39 \n", + "65 4.0 11.0 0.99620 3.41 0.39 \n", + "154 29.0 129.0 0.99730 3.42 0.72 \n", + "155 28.0 128.0 0.99730 3.42 0.71 \n", + "156 29.0 129.0 0.99730 3.42 0.72 \n", + "157 28.0 128.0 0.99730 3.42 0.71 \n", + "163 36.0 121.0 0.99820 3.37 0.49 \n", + "164 35.0 121.0 0.99810 3.37 0.49 \n", + "192 16.0 126.0 0.99690 3.28 0.61 \n", + "215 26.0 121.0 0.99740 3.34 0.76 \n", + "269 4.0 23.0 0.99960 3.28 0.97 \n", + "270 27.0 61.0 0.99650 3.36 0.67 \n", + "271 4.0 23.0 0.99960 3.28 0.97 \n", + "272 17.0 65.0 0.99935 3.22 0.78 \n", + "274 27.0 94.0 0.99915 3.38 0.77 \n", + "275 27.0 61.0 0.99650 3.36 0.67 \n", + "277 4.0 23.0 0.99960 3.28 0.97 \n", + "278 5.0 13.0 0.99760 3.23 0.82 \n", + "279 10.0 47.0 0.99910 3.38 0.77 \n", + "... ... ... ... ... ... \n", + "1289 20.0 110.0 0.99914 3.30 1.17 \n", + "1295 51.0 77.5 0.99558 3.20 0.45 \n", + "1296 51.0 77.5 0.99558 3.20 0.45 \n", + "1307 15.0 29.0 0.99524 3.41 0.52 \n", + "1331 31.0 67.0 0.99668 3.26 0.46 \n", + "1358 52.0 98.0 0.99736 3.28 0.50 \n", + "1373 34.0 89.0 0.99664 3.24 0.45 \n", + "1388 7.0 49.0 0.99718 3.35 0.68 \n", + "1394 27.0 73.0 0.99669 3.32 0.48 \n", + "1406 8.0 22.0 0.99740 3.22 0.94 \n", + "1412 8.0 22.0 0.99740 3.22 0.94 \n", + "1423 14.0 31.0 0.99680 3.50 0.67 \n", + "1434 55.0 95.0 1.00369 3.18 0.77 \n", + "1435 55.0 95.0 1.00369 3.18 0.77 \n", + "1437 15.0 39.0 0.99577 3.53 0.54 \n", + "1441 19.0 98.0 0.99713 3.16 0.52 \n", + "1445 19.0 98.0 0.99713 3.16 0.52 \n", + "1471 8.0 16.0 0.99334 3.43 0.52 \n", + "1474 48.0 82.0 1.00242 3.16 0.75 \n", + "1476 48.0 82.0 1.00242 3.16 0.75 \n", + "1478 3.0 14.0 0.99808 3.40 0.52 \n", + "1501 21.0 64.0 0.99642 3.16 0.53 \n", + "1514 16.0 65.0 0.99842 3.53 0.72 \n", + "1515 16.0 65.0 0.99842 3.53 0.72 \n", + "1540 11.0 32.0 0.99646 3.56 0.63 \n", + "1552 32.0 54.0 0.99586 3.51 0.66 \n", + "1558 66.0 115.0 0.99787 3.22 0.56 \n", + "1574 23.0 92.0 0.99677 3.39 0.48 \n", + "1577 13.0 27.0 0.99622 3.54 0.60 \n", + "1589 29.0 79.0 0.99770 3.29 0.54 \n", + "\n", + " alcohol quality \n", + "9 10.500000 5 \n", + "11 10.500000 5 \n", + "14 9.200000 5 \n", + "15 9.200000 5 \n", + "18 9.000000 4 \n", + "33 9.400000 6 \n", + "35 9.600000 6 \n", + "39 10.500000 5 \n", + "40 10.500000 5 \n", + "55 9.500000 5 \n", + "57 9.400000 5 \n", + "64 10.900000 5 \n", + "65 10.900000 5 \n", + "154 10.500000 5 \n", + "155 10.500000 5 \n", + "156 10.500000 5 \n", + "157 10.500000 5 \n", + "163 9.400000 5 \n", + "164 9.400000 5 \n", + "192 9.500000 5 \n", + "215 10.500000 5 \n", + "269 10.100000 6 \n", + "270 10.700000 6 \n", + "271 10.100000 6 \n", + "272 10.100000 5 \n", + "274 9.400000 5 \n", + "275 10.700000 6 \n", + "277 10.100000 6 \n", + "278 12.600000 8 \n", + "279 10.500000 7 \n", + "... ... ... \n", + "1289 10.200000 5 \n", + "1295 9.500000 5 \n", + "1296 9.500000 5 \n", + "1307 11.100000 4 \n", + "1331 9.200000 5 \n", + "1358 9.500000 5 \n", + "1373 9.300000 5 \n", + "1388 10.300000 5 \n", + "1394 9.200000 5 \n", + "1406 10.900000 6 \n", + "1412 10.900000 6 \n", + "1423 11.000000 4 \n", + "1434 9.000000 6 \n", + "1435 9.000000 6 \n", + "1437 11.100000 5 \n", + "1441 9.566667 6 \n", + "1445 9.600000 6 \n", + "1471 12.600000 5 \n", + "1474 8.800000 5 \n", + "1476 8.800000 5 \n", + "1478 10.200000 3 \n", + "1501 9.400000 5 \n", + "1514 9.233333 6 \n", + "1515 9.250000 6 \n", + "1540 11.600000 6 \n", + "1552 11.300000 6 \n", + "1558 9.500000 5 \n", + "1574 10.500000 6 \n", + "1577 11.900000 6 \n", + "1589 9.200000 5 \n", + "\n", + "[155 rows x 12 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data points considered outliers for the feature 'chlorides':\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
148.90.6200.183.800.17652.0145.00.998603.160.889.25
158.90.6200.193.900.17051.0148.00.998603.170.939.25
178.10.5600.281.700.36816.056.00.996803.111.289.35
197.90.3200.511.800.34117.056.00.996903.041.089.26
385.71.1300.091.500.1727.019.00.994003.500.489.84
427.50.4900.202.600.3328.014.00.996803.210.9010.56
817.80.4300.701.900.46422.067.00.997403.131.289.45
837.30.6700.261.800.40116.051.00.996903.161.149.45
1067.80.4100.681.700.46718.069.00.997303.081.319.35
1098.10.7850.522.000.12237.0153.00.996903.210.699.35
1207.31.0700.091.700.17810.089.00.996203.300.579.05
1259.00.6200.041.900.14627.090.00.998403.160.709.45
1477.60.4900.261.600.23610.088.00.996803.110.809.35
1519.20.5201.003.400.61032.069.00.999602.742.009.44
1697.50.7050.241.800.36015.063.00.996403.001.599.55
1818.90.6100.492.000.27023.0110.00.997203.121.029.35
2109.70.5300.602.000.0395.019.00.995853.300.8612.46
2268.90.5900.502.000.33727.081.00.996403.041.619.56
2408.90.6350.371.700.2635.062.00.997103.001.099.35
2587.70.4100.761.800.6118.045.00.996803.061.269.45
2817.70.2700.683.500.3585.010.00.997203.251.089.97
29111.00.2000.482.000.3436.018.00.997903.300.7110.55
3037.40.6700.121.600.1865.021.00.996003.390.549.55
30710.30.4100.422.400.2136.014.00.999403.190.629.56
30810.30.4300.442.400.2145.012.00.999403.190.639.56
32611.60.5300.663.650.1216.014.00.997803.050.7411.57
33010.20.3600.642.900.12210.041.00.998003.230.6612.56
33110.20.3600.642.900.12210.041.00.998003.230.6612.56
33511.90.6950.533.400.1287.021.00.999203.170.8412.27
35313.50.5300.794.800.12023.077.01.001803.180.7713.05
.......................................
110910.80.4700.432.100.17127.066.00.998203.170.7610.86
11467.80.5000.121.800.1786.021.00.996003.280.879.86
11658.50.4400.501.900.36915.038.00.996343.011.109.45
11916.50.8850.002.300.1666.012.00.995513.560.5110.85
11936.40.8850.002.300.1666.012.00.995513.560.5110.85
12079.90.7200.551.700.13624.052.00.997523.350.9410.05
122010.90.3200.521.800.13217.044.00.997343.280.7711.56
122110.90.3200.521.800.13217.044.00.997343.280.7711.56
12527.10.7200.001.800.1236.014.00.996273.450.589.85
12586.80.6400.002.700.12315.033.00.995383.440.6311.36
12596.80.6400.002.700.12315.033.00.995383.440.6311.36
12608.60.6350.681.800.40319.056.00.996323.021.159.35
12997.61.5800.002.100.1375.09.00.994763.500.4010.93
13199.10.7600.681.700.41418.064.00.996522.901.339.16
13347.20.8350.002.000.1664.011.00.996083.390.5210.05
13587.40.6400.175.400.16852.098.00.997363.280.509.55
13708.70.7800.511.700.41512.066.00.996233.001.179.25
13717.50.5800.563.100.1535.014.00.994763.211.0311.66
13728.70.7800.511.700.41512.066.00.996233.001.179.25
13746.80.8150.001.200.26716.029.00.994713.320.519.83
14236.40.5300.093.900.12314.031.00.996803.500.6711.04
143410.20.5400.3715.400.21455.095.01.003693.180.779.06
143510.20.5400.3715.400.21455.095.01.003693.180.779.06
143610.00.3800.381.600.16927.090.00.999143.150.658.55
14749.90.5000.5013.800.20548.082.01.002423.160.758.85
14769.90.5000.5013.800.20548.082.01.002423.160.758.85
14907.10.2200.491.800.0398.018.00.993443.390.5612.46
15586.90.6300.336.700.23566.0115.00.997873.220.569.55
15706.40.3600.532.200.23019.035.00.993403.370.9312.46
15716.40.3800.142.200.03815.025.00.995143.440.6511.16
\n", + "

112 rows × 12 columns

\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "14 8.9 0.620 0.18 3.80 0.176 \n", + "15 8.9 0.620 0.19 3.90 0.170 \n", + "17 8.1 0.560 0.28 1.70 0.368 \n", + "19 7.9 0.320 0.51 1.80 0.341 \n", + "38 5.7 1.130 0.09 1.50 0.172 \n", + "42 7.5 0.490 0.20 2.60 0.332 \n", + "81 7.8 0.430 0.70 1.90 0.464 \n", + "83 7.3 0.670 0.26 1.80 0.401 \n", + "106 7.8 0.410 0.68 1.70 0.467 \n", + "109 8.1 0.785 0.52 2.00 0.122 \n", + "120 7.3 1.070 0.09 1.70 0.178 \n", + "125 9.0 0.620 0.04 1.90 0.146 \n", + "147 7.6 0.490 0.26 1.60 0.236 \n", + "151 9.2 0.520 1.00 3.40 0.610 \n", + "169 7.5 0.705 0.24 1.80 0.360 \n", + "181 8.9 0.610 0.49 2.00 0.270 \n", + "210 9.7 0.530 0.60 2.00 0.039 \n", + "226 8.9 0.590 0.50 2.00 0.337 \n", + "240 8.9 0.635 0.37 1.70 0.263 \n", + "258 7.7 0.410 0.76 1.80 0.611 \n", + "281 7.7 0.270 0.68 3.50 0.358 \n", + "291 11.0 0.200 0.48 2.00 0.343 \n", + "303 7.4 0.670 0.12 1.60 0.186 \n", + "307 10.3 0.410 0.42 2.40 0.213 \n", + "308 10.3 0.430 0.44 2.40 0.214 \n", + "326 11.6 0.530 0.66 3.65 0.121 \n", + "330 10.2 0.360 0.64 2.90 0.122 \n", + "331 10.2 0.360 0.64 2.90 0.122 \n", + "335 11.9 0.695 0.53 3.40 0.128 \n", + "353 13.5 0.530 0.79 4.80 0.120 \n", + "... ... ... ... ... ... \n", + "1109 10.8 0.470 0.43 2.10 0.171 \n", + "1146 7.8 0.500 0.12 1.80 0.178 \n", + "1165 8.5 0.440 0.50 1.90 0.369 \n", + "1191 6.5 0.885 0.00 2.30 0.166 \n", + "1193 6.4 0.885 0.00 2.30 0.166 \n", + "1207 9.9 0.720 0.55 1.70 0.136 \n", + "1220 10.9 0.320 0.52 1.80 0.132 \n", + "1221 10.9 0.320 0.52 1.80 0.132 \n", + "1252 7.1 0.720 0.00 1.80 0.123 \n", + "1258 6.8 0.640 0.00 2.70 0.123 \n", + "1259 6.8 0.640 0.00 2.70 0.123 \n", + "1260 8.6 0.635 0.68 1.80 0.403 \n", + "1299 7.6 1.580 0.00 2.10 0.137 \n", + "1319 9.1 0.760 0.68 1.70 0.414 \n", + "1334 7.2 0.835 0.00 2.00 0.166 \n", + "1358 7.4 0.640 0.17 5.40 0.168 \n", + "1370 8.7 0.780 0.51 1.70 0.415 \n", + "1371 7.5 0.580 0.56 3.10 0.153 \n", + "1372 8.7 0.780 0.51 1.70 0.415 \n", + "1374 6.8 0.815 0.00 1.20 0.267 \n", + "1423 6.4 0.530 0.09 3.90 0.123 \n", + "1434 10.2 0.540 0.37 15.40 0.214 \n", + "1435 10.2 0.540 0.37 15.40 0.214 \n", + "1436 10.0 0.380 0.38 1.60 0.169 \n", + "1474 9.9 0.500 0.50 13.80 0.205 \n", + "1476 9.9 0.500 0.50 13.80 0.205 \n", + "1490 7.1 0.220 0.49 1.80 0.039 \n", + "1558 6.9 0.630 0.33 6.70 0.235 \n", + "1570 6.4 0.360 0.53 2.20 0.230 \n", + "1571 6.4 0.380 0.14 2.20 0.038 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "14 52.0 145.0 0.99860 3.16 0.88 \n", + "15 51.0 148.0 0.99860 3.17 0.93 \n", + "17 16.0 56.0 0.99680 3.11 1.28 \n", + "19 17.0 56.0 0.99690 3.04 1.08 \n", + "38 7.0 19.0 0.99400 3.50 0.48 \n", + "42 8.0 14.0 0.99680 3.21 0.90 \n", + "81 22.0 67.0 0.99740 3.13 1.28 \n", + "83 16.0 51.0 0.99690 3.16 1.14 \n", + "106 18.0 69.0 0.99730 3.08 1.31 \n", + "109 37.0 153.0 0.99690 3.21 0.69 \n", + "120 10.0 89.0 0.99620 3.30 0.57 \n", + "125 27.0 90.0 0.99840 3.16 0.70 \n", + "147 10.0 88.0 0.99680 3.11 0.80 \n", + "151 32.0 69.0 0.99960 2.74 2.00 \n", + "169 15.0 63.0 0.99640 3.00 1.59 \n", + "181 23.0 110.0 0.99720 3.12 1.02 \n", + "210 5.0 19.0 0.99585 3.30 0.86 \n", + "226 27.0 81.0 0.99640 3.04 1.61 \n", + "240 5.0 62.0 0.99710 3.00 1.09 \n", + "258 8.0 45.0 0.99680 3.06 1.26 \n", + "281 5.0 10.0 0.99720 3.25 1.08 \n", + "291 6.0 18.0 0.99790 3.30 0.71 \n", + "303 5.0 21.0 0.99600 3.39 0.54 \n", + "307 6.0 14.0 0.99940 3.19 0.62 \n", + "308 5.0 12.0 0.99940 3.19 0.63 \n", + "326 6.0 14.0 0.99780 3.05 0.74 \n", + "330 10.0 41.0 0.99800 3.23 0.66 \n", + "331 10.0 41.0 0.99800 3.23 0.66 \n", + "335 7.0 21.0 0.99920 3.17 0.84 \n", + "353 23.0 77.0 1.00180 3.18 0.77 \n", + "... ... ... ... ... ... \n", + "1109 27.0 66.0 0.99820 3.17 0.76 \n", + "1146 6.0 21.0 0.99600 3.28 0.87 \n", + "1165 15.0 38.0 0.99634 3.01 1.10 \n", + "1191 6.0 12.0 0.99551 3.56 0.51 \n", + "1193 6.0 12.0 0.99551 3.56 0.51 \n", + "1207 24.0 52.0 0.99752 3.35 0.94 \n", + "1220 17.0 44.0 0.99734 3.28 0.77 \n", + "1221 17.0 44.0 0.99734 3.28 0.77 \n", + "1252 6.0 14.0 0.99627 3.45 0.58 \n", + "1258 15.0 33.0 0.99538 3.44 0.63 \n", + "1259 15.0 33.0 0.99538 3.44 0.63 \n", + "1260 19.0 56.0 0.99632 3.02 1.15 \n", + "1299 5.0 9.0 0.99476 3.50 0.40 \n", + "1319 18.0 64.0 0.99652 2.90 1.33 \n", + "1334 4.0 11.0 0.99608 3.39 0.52 \n", + "1358 52.0 98.0 0.99736 3.28 0.50 \n", + "1370 12.0 66.0 0.99623 3.00 1.17 \n", + "1371 5.0 14.0 0.99476 3.21 1.03 \n", + "1372 12.0 66.0 0.99623 3.00 1.17 \n", + "1374 16.0 29.0 0.99471 3.32 0.51 \n", + "1423 14.0 31.0 0.99680 3.50 0.67 \n", + "1434 55.0 95.0 1.00369 3.18 0.77 \n", + "1435 55.0 95.0 1.00369 3.18 0.77 \n", + "1436 27.0 90.0 0.99914 3.15 0.65 \n", + "1474 48.0 82.0 1.00242 3.16 0.75 \n", + "1476 48.0 82.0 1.00242 3.16 0.75 \n", + "1490 8.0 18.0 0.99344 3.39 0.56 \n", + "1558 66.0 115.0 0.99787 3.22 0.56 \n", + "1570 19.0 35.0 0.99340 3.37 0.93 \n", + "1571 15.0 25.0 0.99514 3.44 0.65 \n", + "\n", + " alcohol quality \n", + "14 9.2 5 \n", + "15 9.2 5 \n", + "17 9.3 5 \n", + "19 9.2 6 \n", + "38 9.8 4 \n", + "42 10.5 6 \n", + "81 9.4 5 \n", + "83 9.4 5 \n", + "106 9.3 5 \n", + "109 9.3 5 \n", + "120 9.0 5 \n", + "125 9.4 5 \n", + "147 9.3 5 \n", + "151 9.4 4 \n", + "169 9.5 5 \n", + "181 9.3 5 \n", + "210 12.4 6 \n", + "226 9.5 6 \n", + "240 9.3 5 \n", + "258 9.4 5 \n", + "281 9.9 7 \n", + "291 10.5 5 \n", + "303 9.5 5 \n", + "307 9.5 6 \n", + "308 9.5 6 \n", + "326 11.5 7 \n", + "330 12.5 6 \n", + "331 12.5 6 \n", + "335 12.2 7 \n", + "353 13.0 5 \n", + "... ... ... \n", + "1109 10.8 6 \n", + "1146 9.8 6 \n", + "1165 9.4 5 \n", + "1191 10.8 5 \n", + "1193 10.8 5 \n", + "1207 10.0 5 \n", + "1220 11.5 6 \n", + "1221 11.5 6 \n", + "1252 9.8 5 \n", + "1258 11.3 6 \n", + "1259 11.3 6 \n", + "1260 9.3 5 \n", + "1299 10.9 3 \n", + "1319 9.1 6 \n", + "1334 10.0 5 \n", + "1358 9.5 5 \n", + "1370 9.2 5 \n", + "1371 11.6 6 \n", + "1372 9.2 5 \n", + "1374 9.8 3 \n", + "1423 11.0 4 \n", + "1434 9.0 6 \n", + "1435 9.0 6 \n", + "1436 8.5 5 \n", + "1474 8.8 5 \n", + "1476 8.8 5 \n", + "1490 12.4 6 \n", + "1558 9.5 5 \n", + "1570 12.4 6 \n", + "1571 11.1 6 \n", + "\n", + "[112 rows x 12 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data points considered outliers for the feature 'free sulfur dioxide':\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
148.90.6200.183.800.17652.0145.00.998603.160.889.25
158.90.6200.193.900.17051.0148.00.998603.170.939.25
577.50.6300.125.100.11150.0110.00.998303.260.779.45
3966.60.7350.027.900.12268.0124.00.999403.470.539.95
4006.60.7350.027.900.12268.0124.00.999403.470.539.95
4977.20.3400.322.500.09043.0113.00.996603.320.7911.15
5228.20.3900.492.300.09947.0133.00.997903.380.999.85
58411.80.3300.493.400.09354.080.01.000203.300.7610.77
6347.90.3500.211.900.07346.0102.00.996403.270.589.55
6788.30.7800.102.600.08145.087.00.998303.480.5310.05
9258.60.2200.361.900.06453.077.00.996043.470.8711.07
9269.40.2400.332.300.06152.073.00.997863.470.9010.26
9827.30.5200.322.100.07051.070.00.994183.340.8212.96
10759.10.2500.342.000.07145.067.00.997693.440.8610.27
11315.90.1900.211.700.04557.0135.00.993413.320.449.55
11546.60.5800.002.200.10050.063.00.995443.590.6811.46
11568.50.1800.511.750.07145.088.00.995243.330.7611.87
11756.50.6100.002.200.09548.059.00.995413.610.7011.56
12178.20.3400.371.900.05743.074.00.994083.230.8112.06
12317.80.8150.012.600.07448.090.00.996213.380.6210.85
12445.90.2900.2513.400.06772.0160.00.997213.330.5410.36
12567.50.5900.221.800.08243.060.00.994993.100.429.25
12956.60.6300.004.300.09351.077.50.995583.200.459.55
12966.60.6300.004.300.09351.077.50.995583.200.459.55
13587.40.6400.175.400.16852.098.00.997363.280.509.55
143410.20.5400.3715.400.21455.095.01.003693.180.779.06
143510.20.5400.3715.400.21455.095.01.003693.180.779.06
14749.90.5000.5013.800.20548.082.01.002423.160.758.85
14769.90.5000.5013.800.20548.082.01.002423.160.758.85
15586.90.6300.336.700.23566.0115.00.997873.220.569.55
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "14 8.9 0.620 0.18 3.80 0.176 \n", + "15 8.9 0.620 0.19 3.90 0.170 \n", + "57 7.5 0.630 0.12 5.10 0.111 \n", + "396 6.6 0.735 0.02 7.90 0.122 \n", + "400 6.6 0.735 0.02 7.90 0.122 \n", + "497 7.2 0.340 0.32 2.50 0.090 \n", + "522 8.2 0.390 0.49 2.30 0.099 \n", + "584 11.8 0.330 0.49 3.40 0.093 \n", + "634 7.9 0.350 0.21 1.90 0.073 \n", + "678 8.3 0.780 0.10 2.60 0.081 \n", + "925 8.6 0.220 0.36 1.90 0.064 \n", + "926 9.4 0.240 0.33 2.30 0.061 \n", + "982 7.3 0.520 0.32 2.10 0.070 \n", + "1075 9.1 0.250 0.34 2.00 0.071 \n", + "1131 5.9 0.190 0.21 1.70 0.045 \n", + "1154 6.6 0.580 0.00 2.20 0.100 \n", + "1156 8.5 0.180 0.51 1.75 0.071 \n", + "1175 6.5 0.610 0.00 2.20 0.095 \n", + "1217 8.2 0.340 0.37 1.90 0.057 \n", + "1231 7.8 0.815 0.01 2.60 0.074 \n", + "1244 5.9 0.290 0.25 13.40 0.067 \n", + "1256 7.5 0.590 0.22 1.80 0.082 \n", + "1295 6.6 0.630 0.00 4.30 0.093 \n", + "1296 6.6 0.630 0.00 4.30 0.093 \n", + "1358 7.4 0.640 0.17 5.40 0.168 \n", + "1434 10.2 0.540 0.37 15.40 0.214 \n", + "1435 10.2 0.540 0.37 15.40 0.214 \n", + "1474 9.9 0.500 0.50 13.80 0.205 \n", + "1476 9.9 0.500 0.50 13.80 0.205 \n", + "1558 6.9 0.630 0.33 6.70 0.235 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "14 52.0 145.0 0.99860 3.16 0.88 \n", + "15 51.0 148.0 0.99860 3.17 0.93 \n", + "57 50.0 110.0 0.99830 3.26 0.77 \n", + "396 68.0 124.0 0.99940 3.47 0.53 \n", + "400 68.0 124.0 0.99940 3.47 0.53 \n", + "497 43.0 113.0 0.99660 3.32 0.79 \n", + "522 47.0 133.0 0.99790 3.38 0.99 \n", + "584 54.0 80.0 1.00020 3.30 0.76 \n", + "634 46.0 102.0 0.99640 3.27 0.58 \n", + "678 45.0 87.0 0.99830 3.48 0.53 \n", + "925 53.0 77.0 0.99604 3.47 0.87 \n", + "926 52.0 73.0 0.99786 3.47 0.90 \n", + "982 51.0 70.0 0.99418 3.34 0.82 \n", + "1075 45.0 67.0 0.99769 3.44 0.86 \n", + "1131 57.0 135.0 0.99341 3.32 0.44 \n", + "1154 50.0 63.0 0.99544 3.59 0.68 \n", + "1156 45.0 88.0 0.99524 3.33 0.76 \n", + "1175 48.0 59.0 0.99541 3.61 0.70 \n", + "1217 43.0 74.0 0.99408 3.23 0.81 \n", + "1231 48.0 90.0 0.99621 3.38 0.62 \n", + "1244 72.0 160.0 0.99721 3.33 0.54 \n", + "1256 43.0 60.0 0.99499 3.10 0.42 \n", + "1295 51.0 77.5 0.99558 3.20 0.45 \n", + "1296 51.0 77.5 0.99558 3.20 0.45 \n", + "1358 52.0 98.0 0.99736 3.28 0.50 \n", + "1434 55.0 95.0 1.00369 3.18 0.77 \n", + "1435 55.0 95.0 1.00369 3.18 0.77 \n", + "1474 48.0 82.0 1.00242 3.16 0.75 \n", + "1476 48.0 82.0 1.00242 3.16 0.75 \n", + "1558 66.0 115.0 0.99787 3.22 0.56 \n", + "\n", + " alcohol quality \n", + "14 9.2 5 \n", + "15 9.2 5 \n", + "57 9.4 5 \n", + "396 9.9 5 \n", + "400 9.9 5 \n", + "497 11.1 5 \n", + "522 9.8 5 \n", + "584 10.7 7 \n", + "634 9.5 5 \n", + "678 10.0 5 \n", + "925 11.0 7 \n", + "926 10.2 6 \n", + "982 12.9 6 \n", + "1075 10.2 7 \n", + "1131 9.5 5 \n", + "1154 11.4 6 \n", + "1156 11.8 7 \n", + "1175 11.5 6 \n", + "1217 12.0 6 \n", + "1231 10.8 5 \n", + "1244 10.3 6 \n", + "1256 9.2 5 \n", + "1295 9.5 5 \n", + "1296 9.5 5 \n", + "1358 9.5 5 \n", + "1434 9.0 6 \n", + "1435 9.0 6 \n", + "1474 8.8 5 \n", + "1476 8.8 5 \n", + "1558 9.5 5 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data points considered outliers for the feature 'total sulfur dioxide':\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
148.90.6200.183.80.17652.0145.00.998603.160.889.25
158.90.6200.193.90.17051.0148.00.998603.170.939.25
868.60.4900.281.90.11020.0136.00.997202.931.959.96
889.30.3900.442.10.10734.0125.00.997803.141.229.55
907.90.5200.261.90.07942.0140.00.996403.230.549.55
918.60.4900.281.90.11020.0136.00.997202.931.959.96
928.60.4900.292.00.11019.0133.00.997202.931.989.85
1098.10.7850.522.00.12237.0153.00.996903.210.699.35
1308.00.7450.562.00.11830.0134.00.996803.240.669.45
1458.10.6700.551.80.11732.0141.00.996803.170.629.45
1547.10.4300.425.50.07029.0129.00.997303.420.7210.55
1557.10.4300.425.50.07128.0128.00.997303.420.7110.55
1567.10.4300.425.50.07029.0129.00.997303.420.7210.55
1577.10.4300.425.50.07128.0128.00.997303.420.7110.55
1887.90.5000.332.00.08415.0143.00.996803.200.559.55
1897.90.4900.321.90.08217.0144.00.996803.200.559.55
1908.20.5000.352.90.07721.0127.00.997603.230.629.45
1926.80.6300.123.80.09916.0126.00.996903.280.619.55
2018.80.3700.482.10.09739.0145.00.997503.041.039.35
2197.80.5300.332.40.08024.0144.00.996553.300.609.55
3138.60.4700.303.00.07630.0135.00.997603.300.539.45
3546.10.2100.401.40.06640.5165.00.991203.250.5911.96
3966.60.7350.027.90.12268.0124.00.999403.470.539.95
4006.60.7350.027.90.12268.0124.00.999403.470.539.95
4158.60.7250.246.60.11731.0134.01.001403.321.079.35
4177.00.5800.121.90.09134.0124.00.995603.440.4810.55
4638.10.6600.702.20.09825.0129.00.997203.080.539.05
5158.50.6550.496.10.12234.0151.01.001003.311.149.35
5228.20.3900.492.30.09947.0133.00.997903.380.999.85
5239.30.4000.492.50.08538.0142.00.997803.220.559.45
5916.60.3900.491.70.07023.0149.00.992203.120.5011.56
6369.60.8800.282.40.08630.0147.00.997903.240.539.45
6379.50.8850.272.30.08431.0145.00.997803.240.539.45
6496.70.4200.278.60.06824.0148.00.994803.160.5711.36
6519.80.8800.252.50.10435.0155.01.001003.410.6711.25
6729.81.2400.342.00.07932.0151.00.998003.150.539.55
6849.80.9800.322.30.07835.0152.00.998003.250.489.45
6949.00.4700.312.70.08424.0125.00.998403.310.619.45
7237.10.3100.302.20.05336.0127.00.996502.941.629.55
7419.20.5300.242.60.07828.0139.00.997883.210.579.55
7719.40.6850.262.40.08223.0143.00.997803.280.559.45
7729.50.5700.272.30.08223.0144.00.997823.270.559.45
7918.80.6400.172.90.08425.0130.00.998183.230.549.65
10797.90.3000.688.30.05037.5278.00.993163.010.5112.37
10817.90.3000.688.30.05037.5289.00.993163.010.5112.37
11315.90.1900.211.70.04557.0135.00.993413.320.449.55
12445.90.2900.2513.40.06772.0160.00.997213.330.5410.36
14007.90.6900.212.10.08033.0141.00.996203.250.519.95
14017.90.6900.212.10.08033.0141.00.996203.250.519.95
14197.70.6400.212.20.07732.0133.00.995603.270.459.95
14937.70.5400.261.90.08923.0147.00.996363.260.599.75
14967.70.5400.261.90.08923.0147.00.996363.260.599.75
15597.80.6000.262.00.08031.0131.00.996223.210.529.95
15607.80.6000.262.00.08031.0131.00.996223.210.529.95
15617.80.6000.262.00.08031.0131.00.996223.210.529.95
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "14 8.9 0.620 0.18 3.8 0.176 \n", + "15 8.9 0.620 0.19 3.9 0.170 \n", + "86 8.6 0.490 0.28 1.9 0.110 \n", + "88 9.3 0.390 0.44 2.1 0.107 \n", + "90 7.9 0.520 0.26 1.9 0.079 \n", + "91 8.6 0.490 0.28 1.9 0.110 \n", + "92 8.6 0.490 0.29 2.0 0.110 \n", + "109 8.1 0.785 0.52 2.0 0.122 \n", + "130 8.0 0.745 0.56 2.0 0.118 \n", + "145 8.1 0.670 0.55 1.8 0.117 \n", + "154 7.1 0.430 0.42 5.5 0.070 \n", + "155 7.1 0.430 0.42 5.5 0.071 \n", + "156 7.1 0.430 0.42 5.5 0.070 \n", + "157 7.1 0.430 0.42 5.5 0.071 \n", + "188 7.9 0.500 0.33 2.0 0.084 \n", + "189 7.9 0.490 0.32 1.9 0.082 \n", + "190 8.2 0.500 0.35 2.9 0.077 \n", + "192 6.8 0.630 0.12 3.8 0.099 \n", + "201 8.8 0.370 0.48 2.1 0.097 \n", + "219 7.8 0.530 0.33 2.4 0.080 \n", + "313 8.6 0.470 0.30 3.0 0.076 \n", + "354 6.1 0.210 0.40 1.4 0.066 \n", + "396 6.6 0.735 0.02 7.9 0.122 \n", + "400 6.6 0.735 0.02 7.9 0.122 \n", + "415 8.6 0.725 0.24 6.6 0.117 \n", + "417 7.0 0.580 0.12 1.9 0.091 \n", + "463 8.1 0.660 0.70 2.2 0.098 \n", + "515 8.5 0.655 0.49 6.1 0.122 \n", + "522 8.2 0.390 0.49 2.3 0.099 \n", + "523 9.3 0.400 0.49 2.5 0.085 \n", + "591 6.6 0.390 0.49 1.7 0.070 \n", + "636 9.6 0.880 0.28 2.4 0.086 \n", + "637 9.5 0.885 0.27 2.3 0.084 \n", + "649 6.7 0.420 0.27 8.6 0.068 \n", + "651 9.8 0.880 0.25 2.5 0.104 \n", + "672 9.8 1.240 0.34 2.0 0.079 \n", + "684 9.8 0.980 0.32 2.3 0.078 \n", + "694 9.0 0.470 0.31 2.7 0.084 \n", + "723 7.1 0.310 0.30 2.2 0.053 \n", + "741 9.2 0.530 0.24 2.6 0.078 \n", + "771 9.4 0.685 0.26 2.4 0.082 \n", + "772 9.5 0.570 0.27 2.3 0.082 \n", + "791 8.8 0.640 0.17 2.9 0.084 \n", + "1079 7.9 0.300 0.68 8.3 0.050 \n", + "1081 7.9 0.300 0.68 8.3 0.050 \n", + "1131 5.9 0.190 0.21 1.7 0.045 \n", + "1244 5.9 0.290 0.25 13.4 0.067 \n", + "1400 7.9 0.690 0.21 2.1 0.080 \n", + "1401 7.9 0.690 0.21 2.1 0.080 \n", + "1419 7.7 0.640 0.21 2.2 0.077 \n", + "1493 7.7 0.540 0.26 1.9 0.089 \n", + "1496 7.7 0.540 0.26 1.9 0.089 \n", + "1559 7.8 0.600 0.26 2.0 0.080 \n", + "1560 7.8 0.600 0.26 2.0 0.080 \n", + "1561 7.8 0.600 0.26 2.0 0.080 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "14 52.0 145.0 0.99860 3.16 0.88 \n", + "15 51.0 148.0 0.99860 3.17 0.93 \n", + "86 20.0 136.0 0.99720 2.93 1.95 \n", + "88 34.0 125.0 0.99780 3.14 1.22 \n", + "90 42.0 140.0 0.99640 3.23 0.54 \n", + "91 20.0 136.0 0.99720 2.93 1.95 \n", + "92 19.0 133.0 0.99720 2.93 1.98 \n", + "109 37.0 153.0 0.99690 3.21 0.69 \n", + "130 30.0 134.0 0.99680 3.24 0.66 \n", + "145 32.0 141.0 0.99680 3.17 0.62 \n", + "154 29.0 129.0 0.99730 3.42 0.72 \n", + "155 28.0 128.0 0.99730 3.42 0.71 \n", + "156 29.0 129.0 0.99730 3.42 0.72 \n", + "157 28.0 128.0 0.99730 3.42 0.71 \n", + "188 15.0 143.0 0.99680 3.20 0.55 \n", + "189 17.0 144.0 0.99680 3.20 0.55 \n", + "190 21.0 127.0 0.99760 3.23 0.62 \n", + "192 16.0 126.0 0.99690 3.28 0.61 \n", + "201 39.0 145.0 0.99750 3.04 1.03 \n", + "219 24.0 144.0 0.99655 3.30 0.60 \n", + "313 30.0 135.0 0.99760 3.30 0.53 \n", + "354 40.5 165.0 0.99120 3.25 0.59 \n", + "396 68.0 124.0 0.99940 3.47 0.53 \n", + "400 68.0 124.0 0.99940 3.47 0.53 \n", + "415 31.0 134.0 1.00140 3.32 1.07 \n", + "417 34.0 124.0 0.99560 3.44 0.48 \n", + "463 25.0 129.0 0.99720 3.08 0.53 \n", + "515 34.0 151.0 1.00100 3.31 1.14 \n", + "522 47.0 133.0 0.99790 3.38 0.99 \n", + "523 38.0 142.0 0.99780 3.22 0.55 \n", + "591 23.0 149.0 0.99220 3.12 0.50 \n", + "636 30.0 147.0 0.99790 3.24 0.53 \n", + "637 31.0 145.0 0.99780 3.24 0.53 \n", + "649 24.0 148.0 0.99480 3.16 0.57 \n", + "651 35.0 155.0 1.00100 3.41 0.67 \n", + "672 32.0 151.0 0.99800 3.15 0.53 \n", + "684 35.0 152.0 0.99800 3.25 0.48 \n", + "694 24.0 125.0 0.99840 3.31 0.61 \n", + "723 36.0 127.0 0.99650 2.94 1.62 \n", + "741 28.0 139.0 0.99788 3.21 0.57 \n", + "771 23.0 143.0 0.99780 3.28 0.55 \n", + "772 23.0 144.0 0.99782 3.27 0.55 \n", + "791 25.0 130.0 0.99818 3.23 0.54 \n", + "1079 37.5 278.0 0.99316 3.01 0.51 \n", + "1081 37.5 289.0 0.99316 3.01 0.51 \n", + "1131 57.0 135.0 0.99341 3.32 0.44 \n", + "1244 72.0 160.0 0.99721 3.33 0.54 \n", + "1400 33.0 141.0 0.99620 3.25 0.51 \n", + "1401 33.0 141.0 0.99620 3.25 0.51 \n", + "1419 32.0 133.0 0.99560 3.27 0.45 \n", + "1493 23.0 147.0 0.99636 3.26 0.59 \n", + "1496 23.0 147.0 0.99636 3.26 0.59 \n", + "1559 31.0 131.0 0.99622 3.21 0.52 \n", + "1560 31.0 131.0 0.99622 3.21 0.52 \n", + "1561 31.0 131.0 0.99622 3.21 0.52 \n", + "\n", + " alcohol quality \n", + "14 9.2 5 \n", + "15 9.2 5 \n", + "86 9.9 6 \n", + "88 9.5 5 \n", + "90 9.5 5 \n", + "91 9.9 6 \n", + "92 9.8 5 \n", + "109 9.3 5 \n", + "130 9.4 5 \n", + "145 9.4 5 \n", + "154 10.5 5 \n", + "155 10.5 5 \n", + "156 10.5 5 \n", + "157 10.5 5 \n", + "188 9.5 5 \n", + "189 9.5 5 \n", + "190 9.4 5 \n", + "192 9.5 5 \n", + "201 9.3 5 \n", + "219 9.5 5 \n", + "313 9.4 5 \n", + "354 11.9 6 \n", + "396 9.9 5 \n", + "400 9.9 5 \n", + "415 9.3 5 \n", + "417 10.5 5 \n", + "463 9.0 5 \n", + "515 9.3 5 \n", + "522 9.8 5 \n", + "523 9.4 5 \n", + "591 11.5 6 \n", + "636 9.4 5 \n", + "637 9.4 5 \n", + "649 11.3 6 \n", + "651 11.2 5 \n", + "672 9.5 5 \n", + "684 9.4 5 \n", + "694 9.4 5 \n", + "723 9.5 5 \n", + "741 9.5 5 \n", + "771 9.4 5 \n", + "772 9.4 5 \n", + "791 9.6 5 \n", + "1079 12.3 7 \n", + "1081 12.3 7 \n", + "1131 9.5 5 \n", + "1244 10.3 6 \n", + "1400 9.9 5 \n", + "1401 9.9 5 \n", + "1419 9.9 5 \n", + "1493 9.7 5 \n", + "1496 9.7 5 \n", + "1559 9.9 5 \n", + "1560 9.9 5 \n", + "1561 9.9 5 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data points considered outliers for the feature 'density':\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
1425.20.3400.001.800.05027.063.00.991603.680.7914.0000006
1445.20.3400.001.800.05027.063.00.991603.680.7914.0000006
29413.30.3400.523.200.09417.053.01.001403.050.819.5000006
32410.00.4900.2011.000.07113.050.01.001503.160.699.2000006
32510.00.4900.2011.000.07113.050.01.001503.160.699.2000006
35313.50.5300.794.800.12023.077.01.001803.180.7713.0000005
3546.10.2100.401.400.06640.5165.00.991203.250.5911.9000006
36412.80.6150.665.800.0837.042.01.002203.070.7310.0000007
36612.80.6150.665.800.0837.042.01.002203.070.7310.0000007
37414.00.4100.633.800.0896.047.01.001403.010.8110.8000006
38113.70.4150.682.900.08517.043.01.001403.060.8010.0000006
39113.70.4150.682.900.08517.043.01.001403.060.8010.0000006
4158.60.7250.246.600.11731.0134.01.001403.321.079.3000005
44215.60.6850.763.700.1006.043.01.003202.950.6811.2000007
48010.60.2800.3915.500.0696.023.01.002603.120.669.2000005
53812.90.3500.495.800.0665.035.01.001403.200.6612.0000007
55415.50.6450.494.200.09510.023.01.003152.920.7411.1000005
55515.50.6450.494.200.09510.023.01.003152.920.7411.1000005
55715.60.6450.494.200.09510.023.01.003152.920.7411.1000005
55913.00.4700.494.300.0856.047.01.002103.300.6812.7000006
56413.00.4700.494.300.0856.047.01.002103.300.6812.7000006
5885.00.4200.242.000.06019.050.00.991703.720.7414.0000008
5916.60.3900.491.700.07023.0149.00.992203.120.5011.5000006
60810.10.6500.375.100.11011.065.01.002603.320.6410.4000006
6955.10.4700.021.300.03418.044.00.992103.900.6212.8000006
8214.90.4200.002.100.04816.042.00.991543.710.7414.0000007
8366.70.2800.282.400.01236.0100.00.990643.260.3911.7000007
8376.70.2800.282.400.01236.0100.00.990643.260.3911.7000007
88910.70.9000.346.600.11223.099.01.002893.220.689.3000005
9996.40.6900.001.650.0557.012.00.991623.470.5312.9000006
10178.00.1800.370.900.04936.0109.00.990072.890.4412.7000006
10188.00.1800.370.900.04936.0109.00.990072.890.4412.7000006
11145.00.4000.504.300.04629.080.00.990203.490.6613.6000006
11226.30.4700.001.400.05527.033.00.992203.450.4812.3000006
11265.80.2900.261.700.0633.011.00.991503.390.5413.5000006
12285.10.4200.001.800.04418.088.00.991573.680.7313.6000007
12695.50.4900.031.800.04428.087.00.990803.500.8214.0000008
12705.00.3800.011.600.04826.060.00.990843.700.7514.0000006
12985.70.6000.001.400.06311.018.00.991913.450.5612.2000006
143410.20.5400.3715.400.21455.095.01.003693.180.779.0000006
143510.20.5400.3715.400.21455.095.01.003693.180.779.0000006
14749.90.5000.5013.800.20548.082.01.002423.160.758.8000005
14755.30.4700.112.200.04816.089.00.991823.540.8813.5666677
14769.90.5000.5013.800.20548.082.01.002423.160.758.8000005
14775.30.4700.112.200.04816.089.00.991823.540.8813.6000007
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "142 5.2 0.340 0.00 1.80 0.050 \n", + "144 5.2 0.340 0.00 1.80 0.050 \n", + "294 13.3 0.340 0.52 3.20 0.094 \n", + "324 10.0 0.490 0.20 11.00 0.071 \n", + "325 10.0 0.490 0.20 11.00 0.071 \n", + "353 13.5 0.530 0.79 4.80 0.120 \n", + "354 6.1 0.210 0.40 1.40 0.066 \n", + "364 12.8 0.615 0.66 5.80 0.083 \n", + "366 12.8 0.615 0.66 5.80 0.083 \n", + "374 14.0 0.410 0.63 3.80 0.089 \n", + "381 13.7 0.415 0.68 2.90 0.085 \n", + "391 13.7 0.415 0.68 2.90 0.085 \n", + "415 8.6 0.725 0.24 6.60 0.117 \n", + "442 15.6 0.685 0.76 3.70 0.100 \n", + "480 10.6 0.280 0.39 15.50 0.069 \n", + "538 12.9 0.350 0.49 5.80 0.066 \n", + "554 15.5 0.645 0.49 4.20 0.095 \n", + "555 15.5 0.645 0.49 4.20 0.095 \n", + "557 15.6 0.645 0.49 4.20 0.095 \n", + "559 13.0 0.470 0.49 4.30 0.085 \n", + "564 13.0 0.470 0.49 4.30 0.085 \n", + "588 5.0 0.420 0.24 2.00 0.060 \n", + "591 6.6 0.390 0.49 1.70 0.070 \n", + "608 10.1 0.650 0.37 5.10 0.110 \n", + "695 5.1 0.470 0.02 1.30 0.034 \n", + "821 4.9 0.420 0.00 2.10 0.048 \n", + "836 6.7 0.280 0.28 2.40 0.012 \n", + "837 6.7 0.280 0.28 2.40 0.012 \n", + "889 10.7 0.900 0.34 6.60 0.112 \n", + "999 6.4 0.690 0.00 1.65 0.055 \n", + "1017 8.0 0.180 0.37 0.90 0.049 \n", + "1018 8.0 0.180 0.37 0.90 0.049 \n", + "1114 5.0 0.400 0.50 4.30 0.046 \n", + "1122 6.3 0.470 0.00 1.40 0.055 \n", + "1126 5.8 0.290 0.26 1.70 0.063 \n", + "1228 5.1 0.420 0.00 1.80 0.044 \n", + "1269 5.5 0.490 0.03 1.80 0.044 \n", + "1270 5.0 0.380 0.01 1.60 0.048 \n", + "1298 5.7 0.600 0.00 1.40 0.063 \n", + "1434 10.2 0.540 0.37 15.40 0.214 \n", + "1435 10.2 0.540 0.37 15.40 0.214 \n", + "1474 9.9 0.500 0.50 13.80 0.205 \n", + "1475 5.3 0.470 0.11 2.20 0.048 \n", + "1476 9.9 0.500 0.50 13.80 0.205 \n", + "1477 5.3 0.470 0.11 2.20 0.048 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "142 27.0 63.0 0.99160 3.68 0.79 \n", + "144 27.0 63.0 0.99160 3.68 0.79 \n", + "294 17.0 53.0 1.00140 3.05 0.81 \n", + "324 13.0 50.0 1.00150 3.16 0.69 \n", + "325 13.0 50.0 1.00150 3.16 0.69 \n", + "353 23.0 77.0 1.00180 3.18 0.77 \n", + "354 40.5 165.0 0.99120 3.25 0.59 \n", + "364 7.0 42.0 1.00220 3.07 0.73 \n", + "366 7.0 42.0 1.00220 3.07 0.73 \n", + "374 6.0 47.0 1.00140 3.01 0.81 \n", + "381 17.0 43.0 1.00140 3.06 0.80 \n", + "391 17.0 43.0 1.00140 3.06 0.80 \n", + "415 31.0 134.0 1.00140 3.32 1.07 \n", + "442 6.0 43.0 1.00320 2.95 0.68 \n", + "480 6.0 23.0 1.00260 3.12 0.66 \n", + "538 5.0 35.0 1.00140 3.20 0.66 \n", + "554 10.0 23.0 1.00315 2.92 0.74 \n", + "555 10.0 23.0 1.00315 2.92 0.74 \n", + "557 10.0 23.0 1.00315 2.92 0.74 \n", + "559 6.0 47.0 1.00210 3.30 0.68 \n", + "564 6.0 47.0 1.00210 3.30 0.68 \n", + "588 19.0 50.0 0.99170 3.72 0.74 \n", + "591 23.0 149.0 0.99220 3.12 0.50 \n", + "608 11.0 65.0 1.00260 3.32 0.64 \n", + "695 18.0 44.0 0.99210 3.90 0.62 \n", + "821 16.0 42.0 0.99154 3.71 0.74 \n", + "836 36.0 100.0 0.99064 3.26 0.39 \n", + "837 36.0 100.0 0.99064 3.26 0.39 \n", + "889 23.0 99.0 1.00289 3.22 0.68 \n", + "999 7.0 12.0 0.99162 3.47 0.53 \n", + "1017 36.0 109.0 0.99007 2.89 0.44 \n", + "1018 36.0 109.0 0.99007 2.89 0.44 \n", + "1114 29.0 80.0 0.99020 3.49 0.66 \n", + "1122 27.0 33.0 0.99220 3.45 0.48 \n", + "1126 3.0 11.0 0.99150 3.39 0.54 \n", + "1228 18.0 88.0 0.99157 3.68 0.73 \n", + "1269 28.0 87.0 0.99080 3.50 0.82 \n", + "1270 26.0 60.0 0.99084 3.70 0.75 \n", + "1298 11.0 18.0 0.99191 3.45 0.56 \n", + "1434 55.0 95.0 1.00369 3.18 0.77 \n", + "1435 55.0 95.0 1.00369 3.18 0.77 \n", + "1474 48.0 82.0 1.00242 3.16 0.75 \n", + "1475 16.0 89.0 0.99182 3.54 0.88 \n", + "1476 48.0 82.0 1.00242 3.16 0.75 \n", + "1477 16.0 89.0 0.99182 3.54 0.88 \n", + "\n", + " alcohol quality \n", + "142 14.000000 6 \n", + "144 14.000000 6 \n", + "294 9.500000 6 \n", + "324 9.200000 6 \n", + "325 9.200000 6 \n", + "353 13.000000 5 \n", + "354 11.900000 6 \n", + "364 10.000000 7 \n", + "366 10.000000 7 \n", + "374 10.800000 6 \n", + "381 10.000000 6 \n", + "391 10.000000 6 \n", + "415 9.300000 5 \n", + "442 11.200000 7 \n", + "480 9.200000 5 \n", + "538 12.000000 7 \n", + "554 11.100000 5 \n", + "555 11.100000 5 \n", + "557 11.100000 5 \n", + "559 12.700000 6 \n", + "564 12.700000 6 \n", + "588 14.000000 8 \n", + "591 11.500000 6 \n", + "608 10.400000 6 \n", + "695 12.800000 6 \n", + "821 14.000000 7 \n", + "836 11.700000 7 \n", + "837 11.700000 7 \n", + "889 9.300000 5 \n", + "999 12.900000 6 \n", + "1017 12.700000 6 \n", + "1018 12.700000 6 \n", + "1114 13.600000 6 \n", + "1122 12.300000 6 \n", + "1126 13.500000 6 \n", + "1228 13.600000 7 \n", + "1269 14.000000 8 \n", + "1270 14.000000 6 \n", + "1298 12.200000 6 \n", + "1434 9.000000 6 \n", + "1435 9.000000 6 \n", + "1474 8.800000 5 \n", + "1475 13.566667 7 \n", + "1476 8.800000 5 \n", + "1477 13.600000 7 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data points considered outliers for the feature 'pH':\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
454.60.5200.152.100.0548.065.00.993403.900.5613.14
945.01.0200.041.400.04541.085.00.993803.750.4810.54
954.70.6000.172.300.05817.0106.00.993203.850.6012.96
1519.20.5201.003.400.61032.069.00.999602.742.009.44
2686.90.5400.043.000.0777.027.00.998703.690.919.46
2766.90.5400.043.000.0777.027.00.998703.690.919.46
44012.60.3100.722.200.0726.029.00.998702.880.829.88
54414.30.3100.741.800.0756.015.01.000802.860.798.46
5535.01.0400.241.600.05032.096.00.993403.740.6211.55
55415.50.6450.494.200.09510.023.01.003152.920.7411.15
55515.50.6450.494.200.09510.023.01.003152.920.7411.15
55715.60.6450.494.200.09510.023.01.003152.920.7411.15
5885.00.4200.242.000.06019.050.00.991703.720.7414.08
6149.20.7550.182.200.14810.0103.00.996902.871.3610.26
65010.70.4300.392.200.1068.032.00.998602.890.509.65
65610.70.4300.392.200.1068.032.00.998602.890.509.65
65712.00.5000.591.400.07323.042.00.998002.920.6810.57
6955.10.4700.021.300.03418.044.00.992103.900.6212.86
8214.90.4200.002.100.04816.042.00.991543.710.7414.07
9306.60.6100.011.900.0808.025.00.997463.690.7310.55
9346.60.6100.011.900.0808.025.00.997463.690.7310.55
9965.60.6600.002.200.0873.011.00.993783.710.6312.87
9975.60.6600.002.200.0873.011.00.993783.710.6312.87
10178.00.1800.370.900.04936.0109.00.990072.890.4412.76
10188.00.1800.370.900.04936.0109.00.990072.890.4412.76
11115.40.4200.272.000.09223.055.00.994713.780.6412.37
12705.00.3800.011.600.04826.060.00.990843.700.7514.06
13005.20.6450.002.150.08015.028.00.994443.780.6112.56
13165.40.7400.001.200.04116.046.00.992584.010.5912.56
13199.10.7600.681.700.41418.064.00.996522.901.339.16
13215.00.7400.001.200.04116.046.00.992584.010.5912.56
13775.20.4900.262.300.09023.074.00.995303.710.6212.26
147010.00.6900.111.400.0848.024.00.995782.880.479.75
14885.60.5400.041.700.0495.013.00.994203.720.5811.45
14915.60.5400.041.700.0495.013.00.994203.720.5811.45
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "45 4.6 0.520 0.15 2.10 0.054 \n", + "94 5.0 1.020 0.04 1.40 0.045 \n", + "95 4.7 0.600 0.17 2.30 0.058 \n", + "151 9.2 0.520 1.00 3.40 0.610 \n", + "268 6.9 0.540 0.04 3.00 0.077 \n", + "276 6.9 0.540 0.04 3.00 0.077 \n", + "440 12.6 0.310 0.72 2.20 0.072 \n", + "544 14.3 0.310 0.74 1.80 0.075 \n", + "553 5.0 1.040 0.24 1.60 0.050 \n", + "554 15.5 0.645 0.49 4.20 0.095 \n", + "555 15.5 0.645 0.49 4.20 0.095 \n", + "557 15.6 0.645 0.49 4.20 0.095 \n", + "588 5.0 0.420 0.24 2.00 0.060 \n", + "614 9.2 0.755 0.18 2.20 0.148 \n", + "650 10.7 0.430 0.39 2.20 0.106 \n", + "656 10.7 0.430 0.39 2.20 0.106 \n", + "657 12.0 0.500 0.59 1.40 0.073 \n", + "695 5.1 0.470 0.02 1.30 0.034 \n", + "821 4.9 0.420 0.00 2.10 0.048 \n", + "930 6.6 0.610 0.01 1.90 0.080 \n", + "934 6.6 0.610 0.01 1.90 0.080 \n", + "996 5.6 0.660 0.00 2.20 0.087 \n", + "997 5.6 0.660 0.00 2.20 0.087 \n", + "1017 8.0 0.180 0.37 0.90 0.049 \n", + "1018 8.0 0.180 0.37 0.90 0.049 \n", + "1111 5.4 0.420 0.27 2.00 0.092 \n", + "1270 5.0 0.380 0.01 1.60 0.048 \n", + "1300 5.2 0.645 0.00 2.15 0.080 \n", + "1316 5.4 0.740 0.00 1.20 0.041 \n", + "1319 9.1 0.760 0.68 1.70 0.414 \n", + "1321 5.0 0.740 0.00 1.20 0.041 \n", + "1377 5.2 0.490 0.26 2.30 0.090 \n", + "1470 10.0 0.690 0.11 1.40 0.084 \n", + "1488 5.6 0.540 0.04 1.70 0.049 \n", + "1491 5.6 0.540 0.04 1.70 0.049 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "45 8.0 65.0 0.99340 3.90 0.56 \n", + "94 41.0 85.0 0.99380 3.75 0.48 \n", + "95 17.0 106.0 0.99320 3.85 0.60 \n", + "151 32.0 69.0 0.99960 2.74 2.00 \n", + "268 7.0 27.0 0.99870 3.69 0.91 \n", + "276 7.0 27.0 0.99870 3.69 0.91 \n", + "440 6.0 29.0 0.99870 2.88 0.82 \n", + "544 6.0 15.0 1.00080 2.86 0.79 \n", + "553 32.0 96.0 0.99340 3.74 0.62 \n", + "554 10.0 23.0 1.00315 2.92 0.74 \n", + "555 10.0 23.0 1.00315 2.92 0.74 \n", + "557 10.0 23.0 1.00315 2.92 0.74 \n", + "588 19.0 50.0 0.99170 3.72 0.74 \n", + "614 10.0 103.0 0.99690 2.87 1.36 \n", + "650 8.0 32.0 0.99860 2.89 0.50 \n", + "656 8.0 32.0 0.99860 2.89 0.50 \n", + "657 23.0 42.0 0.99800 2.92 0.68 \n", + "695 18.0 44.0 0.99210 3.90 0.62 \n", + "821 16.0 42.0 0.99154 3.71 0.74 \n", + "930 8.0 25.0 0.99746 3.69 0.73 \n", + "934 8.0 25.0 0.99746 3.69 0.73 \n", + "996 3.0 11.0 0.99378 3.71 0.63 \n", + "997 3.0 11.0 0.99378 3.71 0.63 \n", + "1017 36.0 109.0 0.99007 2.89 0.44 \n", + "1018 36.0 109.0 0.99007 2.89 0.44 \n", + "1111 23.0 55.0 0.99471 3.78 0.64 \n", + "1270 26.0 60.0 0.99084 3.70 0.75 \n", + "1300 15.0 28.0 0.99444 3.78 0.61 \n", + "1316 16.0 46.0 0.99258 4.01 0.59 \n", + "1319 18.0 64.0 0.99652 2.90 1.33 \n", + "1321 16.0 46.0 0.99258 4.01 0.59 \n", + "1377 23.0 74.0 0.99530 3.71 0.62 \n", + "1470 8.0 24.0 0.99578 2.88 0.47 \n", + "1488 5.0 13.0 0.99420 3.72 0.58 \n", + "1491 5.0 13.0 0.99420 3.72 0.58 \n", + "\n", + " alcohol quality \n", + "45 13.1 4 \n", + "94 10.5 4 \n", + "95 12.9 6 \n", + "151 9.4 4 \n", + "268 9.4 6 \n", + "276 9.4 6 \n", + "440 9.8 8 \n", + "544 8.4 6 \n", + "553 11.5 5 \n", + "554 11.1 5 \n", + "555 11.1 5 \n", + "557 11.1 5 \n", + "588 14.0 8 \n", + "614 10.2 6 \n", + "650 9.6 5 \n", + "656 9.6 5 \n", + "657 10.5 7 \n", + "695 12.8 6 \n", + "821 14.0 7 \n", + "930 10.5 5 \n", + "934 10.5 5 \n", + "996 12.8 7 \n", + "997 12.8 7 \n", + "1017 12.7 6 \n", + "1018 12.7 6 \n", + "1111 12.3 7 \n", + "1270 14.0 6 \n", + "1300 12.5 6 \n", + "1316 12.5 6 \n", + "1319 9.1 6 \n", + "1321 12.5 6 \n", + "1377 12.2 6 \n", + "1470 9.7 5 \n", + "1488 11.4 5 \n", + "1491 11.4 5 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data points considered outliers for the feature 'sulphates':\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
137.80.6100.291.60.1149.029.00.997403.261.569.15
178.10.5600.281.70.36816.056.00.996803.111.289.35
197.90.3200.511.80.34117.056.00.996903.041.089.26
438.10.6600.222.20.0699.023.00.996803.301.2010.35
798.30.6250.201.50.08027.0119.00.997203.161.129.14
817.80.4300.701.90.46422.067.00.997403.131.289.45
837.30.6700.261.80.40116.051.00.996903.161.149.45
868.60.4900.281.90.11020.0136.00.997202.931.959.96
889.30.3900.442.10.10734.0125.00.997803.141.229.55
918.60.4900.281.90.11020.0136.00.997202.931.959.96
928.60.4900.292.00.11019.0133.00.997202.931.989.85
1067.80.4100.681.70.46718.069.00.997303.081.319.35
1519.20.5201.003.40.61032.069.00.999602.742.009.44
1617.60.6800.021.30.0729.020.00.996503.171.089.24
1697.50.7050.241.80.36015.063.00.996403.001.599.55
1818.90.6100.492.00.27023.0110.00.997203.121.029.35
2018.80.3700.482.10.09739.0145.00.997503.041.039.35
2268.90.5900.502.00.33727.081.00.996403.041.619.56
2408.90.6350.371.70.2635.062.00.997103.001.099.35
2587.70.4100.761.80.6118.045.00.996803.061.269.45
2817.70.2700.683.50.3585.010.00.997203.251.089.97
33812.40.4900.583.00.10328.099.01.000803.161.0011.56
33912.50.2800.542.30.08212.029.00.999703.111.369.87
34012.20.3400.502.40.06610.021.01.000003.121.189.26
3699.40.2700.532.40.0746.018.00.996203.201.1312.07
3729.10.2800.481.80.06726.046.00.996703.321.0410.66
37611.50.4500.503.00.07819.047.01.000303.261.1111.06
3779.40.2700.532.40.0746.018.00.996203.201.1312.07
4158.60.7250.246.60.11731.0134.01.001403.321.079.35
4518.40.3700.531.80.4139.026.00.997903.061.069.16
47710.40.2400.491.80.0756.020.00.997703.181.0611.06
48210.60.3600.592.20.1526.018.00.998603.041.059.45
48310.60.3600.602.20.1527.018.00.998603.041.069.45
50310.50.2600.471.90.0786.024.00.997603.181.0410.97
50410.50.2400.421.80.0776.022.00.997603.211.0510.87
50610.40.2400.461.80.0756.021.00.997603.251.0210.87
5158.50.6550.496.10.12234.0151.01.001003.311.149.35
58611.10.3100.492.70.09416.047.00.998603.121.0210.67
6149.20.7550.182.20.14810.0103.00.996902.871.3610.26
6398.90.2900.351.90.06725.057.00.997003.181.3610.36
6898.10.3800.481.80.1575.017.00.997603.301.059.45
6928.60.4900.512.00.42216.062.00.997903.031.179.05
7237.10.3100.302.20.05336.0127.00.996502.941.629.55
7547.80.4800.681.70.41514.032.00.996563.091.069.16
79510.80.8900.302.60.1327.060.00.997862.991.1810.25
8528.00.4200.322.50.08026.0122.00.998013.221.079.75
10518.50.4600.591.40.41416.045.00.997023.031.349.25
11586.70.4100.432.80.07622.054.00.995723.421.1610.66
11658.50.4400.501.90.36915.038.00.996343.011.109.45
12608.60.6350.681.80.40319.056.00.996323.021.159.35
12887.00.6000.304.50.06820.0110.00.999143.301.1710.25
12897.00.6000.304.50.06820.0110.00.999143.301.1710.25
13199.10.7600.681.70.41418.064.00.996522.901.339.16
13676.90.5400.302.20.0889.0105.00.997253.251.1810.56
13708.70.7800.511.70.41512.066.00.996233.001.179.25
13717.50.5800.563.10.1535.014.00.994763.211.0311.66
13728.70.7800.511.70.41512.066.00.996233.001.179.25
14037.20.3300.331.70.0613.013.00.996003.231.1010.08
14088.10.2900.362.20.04835.053.00.995003.271.0112.47
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "13 7.8 0.610 0.29 1.6 0.114 \n", + "17 8.1 0.560 0.28 1.7 0.368 \n", + "19 7.9 0.320 0.51 1.8 0.341 \n", + "43 8.1 0.660 0.22 2.2 0.069 \n", + "79 8.3 0.625 0.20 1.5 0.080 \n", + "81 7.8 0.430 0.70 1.9 0.464 \n", + "83 7.3 0.670 0.26 1.8 0.401 \n", + "86 8.6 0.490 0.28 1.9 0.110 \n", + "88 9.3 0.390 0.44 2.1 0.107 \n", + "91 8.6 0.490 0.28 1.9 0.110 \n", + "92 8.6 0.490 0.29 2.0 0.110 \n", + "106 7.8 0.410 0.68 1.7 0.467 \n", + "151 9.2 0.520 1.00 3.4 0.610 \n", + "161 7.6 0.680 0.02 1.3 0.072 \n", + "169 7.5 0.705 0.24 1.8 0.360 \n", + "181 8.9 0.610 0.49 2.0 0.270 \n", + "201 8.8 0.370 0.48 2.1 0.097 \n", + "226 8.9 0.590 0.50 2.0 0.337 \n", + "240 8.9 0.635 0.37 1.7 0.263 \n", + "258 7.7 0.410 0.76 1.8 0.611 \n", + "281 7.7 0.270 0.68 3.5 0.358 \n", + "338 12.4 0.490 0.58 3.0 0.103 \n", + "339 12.5 0.280 0.54 2.3 0.082 \n", + "340 12.2 0.340 0.50 2.4 0.066 \n", + "369 9.4 0.270 0.53 2.4 0.074 \n", + "372 9.1 0.280 0.48 1.8 0.067 \n", + "376 11.5 0.450 0.50 3.0 0.078 \n", + "377 9.4 0.270 0.53 2.4 0.074 \n", + "415 8.6 0.725 0.24 6.6 0.117 \n", + "451 8.4 0.370 0.53 1.8 0.413 \n", + "477 10.4 0.240 0.49 1.8 0.075 \n", + "482 10.6 0.360 0.59 2.2 0.152 \n", + "483 10.6 0.360 0.60 2.2 0.152 \n", + "503 10.5 0.260 0.47 1.9 0.078 \n", + "504 10.5 0.240 0.42 1.8 0.077 \n", + "506 10.4 0.240 0.46 1.8 0.075 \n", + "515 8.5 0.655 0.49 6.1 0.122 \n", + "586 11.1 0.310 0.49 2.7 0.094 \n", + "614 9.2 0.755 0.18 2.2 0.148 \n", + "639 8.9 0.290 0.35 1.9 0.067 \n", + "689 8.1 0.380 0.48 1.8 0.157 \n", + "692 8.6 0.490 0.51 2.0 0.422 \n", + "723 7.1 0.310 0.30 2.2 0.053 \n", + "754 7.8 0.480 0.68 1.7 0.415 \n", + "795 10.8 0.890 0.30 2.6 0.132 \n", + "852 8.0 0.420 0.32 2.5 0.080 \n", + "1051 8.5 0.460 0.59 1.4 0.414 \n", + "1158 6.7 0.410 0.43 2.8 0.076 \n", + "1165 8.5 0.440 0.50 1.9 0.369 \n", + "1260 8.6 0.635 0.68 1.8 0.403 \n", + "1288 7.0 0.600 0.30 4.5 0.068 \n", + "1289 7.0 0.600 0.30 4.5 0.068 \n", + "1319 9.1 0.760 0.68 1.7 0.414 \n", + "1367 6.9 0.540 0.30 2.2 0.088 \n", + "1370 8.7 0.780 0.51 1.7 0.415 \n", + "1371 7.5 0.580 0.56 3.1 0.153 \n", + "1372 8.7 0.780 0.51 1.7 0.415 \n", + "1403 7.2 0.330 0.33 1.7 0.061 \n", + "1408 8.1 0.290 0.36 2.2 0.048 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "13 9.0 29.0 0.99740 3.26 1.56 \n", + "17 16.0 56.0 0.99680 3.11 1.28 \n", + "19 17.0 56.0 0.99690 3.04 1.08 \n", + "43 9.0 23.0 0.99680 3.30 1.20 \n", + "79 27.0 119.0 0.99720 3.16 1.12 \n", + "81 22.0 67.0 0.99740 3.13 1.28 \n", + "83 16.0 51.0 0.99690 3.16 1.14 \n", + "86 20.0 136.0 0.99720 2.93 1.95 \n", + "88 34.0 125.0 0.99780 3.14 1.22 \n", + "91 20.0 136.0 0.99720 2.93 1.95 \n", + "92 19.0 133.0 0.99720 2.93 1.98 \n", + "106 18.0 69.0 0.99730 3.08 1.31 \n", + "151 32.0 69.0 0.99960 2.74 2.00 \n", + "161 9.0 20.0 0.99650 3.17 1.08 \n", + "169 15.0 63.0 0.99640 3.00 1.59 \n", + "181 23.0 110.0 0.99720 3.12 1.02 \n", + "201 39.0 145.0 0.99750 3.04 1.03 \n", + "226 27.0 81.0 0.99640 3.04 1.61 \n", + "240 5.0 62.0 0.99710 3.00 1.09 \n", + "258 8.0 45.0 0.99680 3.06 1.26 \n", + "281 5.0 10.0 0.99720 3.25 1.08 \n", + "338 28.0 99.0 1.00080 3.16 1.00 \n", + "339 12.0 29.0 0.99970 3.11 1.36 \n", + "340 10.0 21.0 1.00000 3.12 1.18 \n", + "369 6.0 18.0 0.99620 3.20 1.13 \n", + "372 26.0 46.0 0.99670 3.32 1.04 \n", + "376 19.0 47.0 1.00030 3.26 1.11 \n", + "377 6.0 18.0 0.99620 3.20 1.13 \n", + "415 31.0 134.0 1.00140 3.32 1.07 \n", + "451 9.0 26.0 0.99790 3.06 1.06 \n", + "477 6.0 20.0 0.99770 3.18 1.06 \n", + "482 6.0 18.0 0.99860 3.04 1.05 \n", + "483 7.0 18.0 0.99860 3.04 1.06 \n", + "503 6.0 24.0 0.99760 3.18 1.04 \n", + "504 6.0 22.0 0.99760 3.21 1.05 \n", + "506 6.0 21.0 0.99760 3.25 1.02 \n", + "515 34.0 151.0 1.00100 3.31 1.14 \n", + "586 16.0 47.0 0.99860 3.12 1.02 \n", + "614 10.0 103.0 0.99690 2.87 1.36 \n", + "639 25.0 57.0 0.99700 3.18 1.36 \n", + "689 5.0 17.0 0.99760 3.30 1.05 \n", + "692 16.0 62.0 0.99790 3.03 1.17 \n", + "723 36.0 127.0 0.99650 2.94 1.62 \n", + "754 14.0 32.0 0.99656 3.09 1.06 \n", + "795 7.0 60.0 0.99786 2.99 1.18 \n", + "852 26.0 122.0 0.99801 3.22 1.07 \n", + "1051 16.0 45.0 0.99702 3.03 1.34 \n", + "1158 22.0 54.0 0.99572 3.42 1.16 \n", + "1165 15.0 38.0 0.99634 3.01 1.10 \n", + "1260 19.0 56.0 0.99632 3.02 1.15 \n", + "1288 20.0 110.0 0.99914 3.30 1.17 \n", + "1289 20.0 110.0 0.99914 3.30 1.17 \n", + "1319 18.0 64.0 0.99652 2.90 1.33 \n", + "1367 9.0 105.0 0.99725 3.25 1.18 \n", + "1370 12.0 66.0 0.99623 3.00 1.17 \n", + "1371 5.0 14.0 0.99476 3.21 1.03 \n", + "1372 12.0 66.0 0.99623 3.00 1.17 \n", + "1403 3.0 13.0 0.99600 3.23 1.10 \n", + "1408 35.0 53.0 0.99500 3.27 1.01 \n", + "\n", + " alcohol quality \n", + "13 9.1 5 \n", + "17 9.3 5 \n", + "19 9.2 6 \n", + "43 10.3 5 \n", + "79 9.1 4 \n", + "81 9.4 5 \n", + "83 9.4 5 \n", + "86 9.9 6 \n", + "88 9.5 5 \n", + "91 9.9 6 \n", + "92 9.8 5 \n", + "106 9.3 5 \n", + "151 9.4 4 \n", + "161 9.2 4 \n", + "169 9.5 5 \n", + "181 9.3 5 \n", + "201 9.3 5 \n", + "226 9.5 6 \n", + "240 9.3 5 \n", + "258 9.4 5 \n", + "281 9.9 7 \n", + "338 11.5 6 \n", + "339 9.8 7 \n", + "340 9.2 6 \n", + "369 12.0 7 \n", + "372 10.6 6 \n", + "376 11.0 6 \n", + "377 12.0 7 \n", + "415 9.3 5 \n", + "451 9.1 6 \n", + "477 11.0 6 \n", + "482 9.4 5 \n", + "483 9.4 5 \n", + "503 10.9 7 \n", + "504 10.8 7 \n", + "506 10.8 7 \n", + "515 9.3 5 \n", + "586 10.6 7 \n", + "614 10.2 6 \n", + "639 10.3 6 \n", + "689 9.4 5 \n", + "692 9.0 5 \n", + "723 9.5 5 \n", + "754 9.1 6 \n", + "795 10.2 5 \n", + "852 9.7 5 \n", + "1051 9.2 5 \n", + "1158 10.6 6 \n", + "1165 9.4 5 \n", + "1260 9.3 5 \n", + "1288 10.2 5 \n", + "1289 10.2 5 \n", + "1319 9.1 6 \n", + "1367 10.5 6 \n", + "1370 9.2 5 \n", + "1371 11.6 6 \n", + "1372 9.2 5 \n", + "1403 10.0 8 \n", + "1408 12.4 7 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data points considered outliers for the feature 'alcohol':\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
1425.20.340.001.80.05027.063.00.991603.680.7914.0000006
1445.20.340.001.80.05027.063.00.991603.680.7914.0000006
4678.80.460.452.60.0657.018.00.994703.320.7914.0000006
5885.00.420.242.00.06019.050.00.991703.720.7414.0000008
65215.90.360.657.50.09622.071.00.997602.980.8414.9000005
8214.90.420.002.10.04816.042.00.991543.710.7414.0000007
11145.00.400.504.30.04629.080.00.990203.490.6613.6000006
11327.40.360.341.80.07518.038.00.993303.380.8813.6000007
12285.10.420.001.80.04418.088.00.991573.680.7313.6000007
12695.50.490.031.80.04428.087.00.990803.500.8214.0000008
12705.00.380.011.60.04826.060.00.990843.700.7514.0000006
14755.30.470.112.20.04816.089.00.991823.540.8813.5666677
14775.30.470.112.20.04816.089.00.991823.540.8813.6000007
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "142 5.2 0.34 0.00 1.8 0.050 \n", + "144 5.2 0.34 0.00 1.8 0.050 \n", + "467 8.8 0.46 0.45 2.6 0.065 \n", + "588 5.0 0.42 0.24 2.0 0.060 \n", + "652 15.9 0.36 0.65 7.5 0.096 \n", + "821 4.9 0.42 0.00 2.1 0.048 \n", + "1114 5.0 0.40 0.50 4.3 0.046 \n", + "1132 7.4 0.36 0.34 1.8 0.075 \n", + "1228 5.1 0.42 0.00 1.8 0.044 \n", + "1269 5.5 0.49 0.03 1.8 0.044 \n", + "1270 5.0 0.38 0.01 1.6 0.048 \n", + "1475 5.3 0.47 0.11 2.2 0.048 \n", + "1477 5.3 0.47 0.11 2.2 0.048 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "142 27.0 63.0 0.99160 3.68 0.79 \n", + "144 27.0 63.0 0.99160 3.68 0.79 \n", + "467 7.0 18.0 0.99470 3.32 0.79 \n", + "588 19.0 50.0 0.99170 3.72 0.74 \n", + "652 22.0 71.0 0.99760 2.98 0.84 \n", + "821 16.0 42.0 0.99154 3.71 0.74 \n", + "1114 29.0 80.0 0.99020 3.49 0.66 \n", + "1132 18.0 38.0 0.99330 3.38 0.88 \n", + "1228 18.0 88.0 0.99157 3.68 0.73 \n", + "1269 28.0 87.0 0.99080 3.50 0.82 \n", + "1270 26.0 60.0 0.99084 3.70 0.75 \n", + "1475 16.0 89.0 0.99182 3.54 0.88 \n", + "1477 16.0 89.0 0.99182 3.54 0.88 \n", + "\n", + " alcohol quality \n", + "142 14.000000 6 \n", + "144 14.000000 6 \n", + "467 14.000000 6 \n", + "588 14.000000 8 \n", + "652 14.900000 5 \n", + "821 14.000000 7 \n", + "1114 13.600000 6 \n", + "1132 13.600000 7 \n", + "1228 13.600000 7 \n", + "1269 14.000000 8 \n", + "1270 14.000000 6 \n", + "1475 13.566667 7 \n", + "1477 13.600000 7 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data points considered outliers for the feature 'quality':\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
2677.90.3500.463.600.07815.037.00.997303.350.8612.808
27810.30.3200.456.400.0735.013.00.997603.230.8212.608
3905.60.8500.051.400.04512.088.00.992403.560.8212.908
44012.60.3100.722.200.0726.029.00.998702.880.829.808
45511.30.6200.675.200.0866.019.00.998803.220.6913.408
45911.60.5800.662.200.07410.047.01.000803.250.579.003
4819.40.3000.562.800.0806.017.00.996403.150.9211.708
49510.70.3500.532.600.0705.016.00.997203.150.6511.008
49810.70.3500.532.600.0705.016.00.997203.150.6511.008
51710.40.6100.492.100.2005.016.00.999403.160.638.403
5885.00.4200.242.000.06019.050.00.991703.720.7414.008
6907.41.1850.004.250.0975.014.00.996603.630.5410.703
8287.80.5700.092.300.06534.045.00.994173.460.7412.708
83210.40.4400.421.500.14534.048.00.998323.380.869.903
8998.31.0200.023.400.0846.011.00.998923.480.4911.003
10619.10.4000.501.800.0717.016.00.994623.210.6912.508
109010.00.2600.541.900.08342.074.00.994512.980.6311.808
11207.90.5400.342.500.0768.017.00.992353.200.7213.108
12028.60.4200.391.800.0686.012.00.995163.350.6911.708
12695.50.4900.031.800.04428.087.00.990803.500.8214.008
12997.61.5800.002.100.1375.09.00.994763.500.4010.903
13746.80.8150.001.200.26716.029.00.994713.320.519.803
14037.20.3300.331.700.0613.013.00.996003.231.1010.008
14497.20.3800.312.000.05615.029.00.994723.230.7611.308
14697.30.9800.052.100.06120.049.00.997053.310.559.703
14787.10.8750.055.700.0823.014.00.998083.400.5210.203
15056.70.7600.021.800.0786.012.00.996003.550.639.953
15497.40.3600.301.800.07417.024.00.994193.240.7011.408
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "267 7.9 0.350 0.46 3.60 0.078 \n", + "278 10.3 0.320 0.45 6.40 0.073 \n", + "390 5.6 0.850 0.05 1.40 0.045 \n", + "440 12.6 0.310 0.72 2.20 0.072 \n", + "455 11.3 0.620 0.67 5.20 0.086 \n", + "459 11.6 0.580 0.66 2.20 0.074 \n", + "481 9.4 0.300 0.56 2.80 0.080 \n", + "495 10.7 0.350 0.53 2.60 0.070 \n", + "498 10.7 0.350 0.53 2.60 0.070 \n", + "517 10.4 0.610 0.49 2.10 0.200 \n", + "588 5.0 0.420 0.24 2.00 0.060 \n", + "690 7.4 1.185 0.00 4.25 0.097 \n", + "828 7.8 0.570 0.09 2.30 0.065 \n", + "832 10.4 0.440 0.42 1.50 0.145 \n", + "899 8.3 1.020 0.02 3.40 0.084 \n", + "1061 9.1 0.400 0.50 1.80 0.071 \n", + "1090 10.0 0.260 0.54 1.90 0.083 \n", + "1120 7.9 0.540 0.34 2.50 0.076 \n", + "1202 8.6 0.420 0.39 1.80 0.068 \n", + "1269 5.5 0.490 0.03 1.80 0.044 \n", + "1299 7.6 1.580 0.00 2.10 0.137 \n", + "1374 6.8 0.815 0.00 1.20 0.267 \n", + "1403 7.2 0.330 0.33 1.70 0.061 \n", + "1449 7.2 0.380 0.31 2.00 0.056 \n", + "1469 7.3 0.980 0.05 2.10 0.061 \n", + "1478 7.1 0.875 0.05 5.70 0.082 \n", + "1505 6.7 0.760 0.02 1.80 0.078 \n", + "1549 7.4 0.360 0.30 1.80 0.074 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "267 15.0 37.0 0.99730 3.35 0.86 \n", + "278 5.0 13.0 0.99760 3.23 0.82 \n", + "390 12.0 88.0 0.99240 3.56 0.82 \n", + "440 6.0 29.0 0.99870 2.88 0.82 \n", + "455 6.0 19.0 0.99880 3.22 0.69 \n", + "459 10.0 47.0 1.00080 3.25 0.57 \n", + "481 6.0 17.0 0.99640 3.15 0.92 \n", + "495 5.0 16.0 0.99720 3.15 0.65 \n", + "498 5.0 16.0 0.99720 3.15 0.65 \n", + "517 5.0 16.0 0.99940 3.16 0.63 \n", + "588 19.0 50.0 0.99170 3.72 0.74 \n", + "690 5.0 14.0 0.99660 3.63 0.54 \n", + "828 34.0 45.0 0.99417 3.46 0.74 \n", + "832 34.0 48.0 0.99832 3.38 0.86 \n", + "899 6.0 11.0 0.99892 3.48 0.49 \n", + "1061 7.0 16.0 0.99462 3.21 0.69 \n", + "1090 42.0 74.0 0.99451 2.98 0.63 \n", + "1120 8.0 17.0 0.99235 3.20 0.72 \n", + "1202 6.0 12.0 0.99516 3.35 0.69 \n", + "1269 28.0 87.0 0.99080 3.50 0.82 \n", + "1299 5.0 9.0 0.99476 3.50 0.40 \n", + "1374 16.0 29.0 0.99471 3.32 0.51 \n", + "1403 3.0 13.0 0.99600 3.23 1.10 \n", + "1449 15.0 29.0 0.99472 3.23 0.76 \n", + "1469 20.0 49.0 0.99705 3.31 0.55 \n", + "1478 3.0 14.0 0.99808 3.40 0.52 \n", + "1505 6.0 12.0 0.99600 3.55 0.63 \n", + "1549 17.0 24.0 0.99419 3.24 0.70 \n", + "\n", + " alcohol quality \n", + "267 12.80 8 \n", + "278 12.60 8 \n", + "390 12.90 8 \n", + "440 9.80 8 \n", + "455 13.40 8 \n", + "459 9.00 3 \n", + "481 11.70 8 \n", + "495 11.00 8 \n", + "498 11.00 8 \n", + "517 8.40 3 \n", + "588 14.00 8 \n", + "690 10.70 3 \n", + "828 12.70 8 \n", + "832 9.90 3 \n", + "899 11.00 3 \n", + "1061 12.50 8 \n", + "1090 11.80 8 \n", + "1120 13.10 8 \n", + "1202 11.70 8 \n", + "1269 14.00 8 \n", + "1299 10.90 3 \n", + "1374 9.80 3 \n", + "1403 10.00 8 \n", + "1449 11.30 8 \n", + "1469 9.70 3 \n", + "1478 10.20 3 \n", + "1505 9.95 3 \n", + "1549 11.40 8 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# For each feature find the data points with extreme high or low values\n", + "for feature in data.keys():\n", + " \n", + " # TODO: Calculate Q1 (25th percentile of the data) for the given feature\n", + " Q1 = np.percentile(data[feature], q=25)\n", + " \n", + " # TODO: Calculate Q3 (75th percentile of the data) for the given feature\n", + " Q3 = np.percentile(data[feature], q=75)\n", + " \n", + " # TODO: Use the interquartile range to calculate an outlier step (1.5 times the interquartile range)\n", + " interquartile_range = Q3 - Q1\n", + " step = 1.5 * interquartile_range\n", + " \n", + " # Display the outliers\n", + " print(\"Data points considered outliers for the feature '{}':\".format(feature))\n", + " display(data[~((data[feature] >= Q1 - step) & (data[feature] <= Q3 + step))])\n", + " \n", + "# OPTIONAL: Select the indices for data points you wish to remove\n", + "outliers = []\n", + "\n", + "# Remove the outliers, if any were specified\n", + "good_data = data.drop(data.index[outliers]).reset_index(drop = True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Part 2: Using Machine Learning to Predict the Quality of Wines" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Data Preparation: \n", + "\n", + "### First, we'll apply some transforms to convert our regression problem into a classification problem. Then, we'll use our data to create feature-set and target labels:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholqualityquality_categorical
07.40.700.01.90.07611.034.00.99783.510.569.451
17.80.880.02.60.09825.067.00.99683.200.689.851
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "0 7.4 0.70 0.0 1.9 0.076 \n", + "1 7.8 0.88 0.0 2.6 0.098 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "0 11.0 34.0 0.9978 3.51 0.56 \n", + "1 25.0 67.0 0.9968 3.20 0.68 \n", + "\n", + " alcohol quality quality_categorical \n", + "0 9.4 5 1 \n", + "1 9.8 5 1 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Defining the splits for categories. 1-4 will be poor quality, 5-6 will be average, 7-10 will be great\n", + "bins = [1,4,6,10]\n", + "\n", + "#0 for low quality, 1 for average, 2 for great quality\n", + "quality_labels=[0,1,2]\n", + "data['quality_categorical'] = pd.cut(data['quality'], bins=bins, labels=quality_labels, include_lowest=True)\n", + "\n", + "#Displays the first 2 columns\n", + "display(data.head(n=2))\n", + "\n", + "# Split the data into features and target label\n", + "quality_raw = data['quality_categorical']\n", + "features_raw = data.drop(['quality', 'quality_categorical'], axis = 1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Next, shuffle and split our data-set into training and testing subsets:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Training set has 1279 samples.\n", + "Testing set has 320 samples.\n" + ] + } + ], + "source": [ + "# Import train_test_split\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "# Split the 'features' and 'income' data into training and testing sets\n", + "X_train, X_test, y_train, y_test = train_test_split(features_raw, \n", + " quality_raw, \n", + " test_size = 0.2, \n", + " random_state = 0)\n", + "\n", + "# Show the results of the split\n", + "print(\"Training set has {} samples.\".format(X_train.shape[0]))\n", + "print(\"Testing set has {} samples.\".format(X_test.shape[0]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## [scikit-learn](http://scikit-learn.org/) is a handy data science and machine learning library that lets you use ML algorithms in easy to use APIs." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Supervised Learning Models\n", + "**The following are some of the supervised learning models that are currently available in** [`scikit-learn`](http://scikit-learn.org/stable/supervised_learning.html) **that you may choose from:**\n", + "- Gaussian Naive Bayes (GaussianNB)\n", + "- Decision Trees\n", + "- Ensemble Methods (Bagging, AdaBoost, Random Forest, Gradient Boosting)\n", + "- K-Nearest Neighbors (KNeighbors)\n", + "- Stochastic Gradient Descent Classifier (SGDC)\n", + "- Support Vector Machines (SVM)\n", + "- Logistic Regression" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Implementation - Creating a Training and Predicting Pipeline\n", + "To properly evaluate the performance of each model you've chosen, it's important that you create a training and predicting pipeline that allows you to quickly and effectively train models using various sizes of training data and perform predictions on the testing data. Your implementation here will be used in the following section.\n", + "In the code block below, you will need to implement the following:\n", + " - Import `fbeta_score` and `accuracy_score` from [`sklearn.metrics`](http://scikit-learn.org/stable/modules/classes.html#sklearn-metrics-metrics).\n", + " - Fit the learner to the sampled training data and record the training time.\n", + " - Perform predictions on the test data `X_test`, and also on the first 300 training points `X_train[:300]`.\n", + " - Record the total prediction time.\n", + " - Calculate the accuracy score for both the training subset and testing set.\n", + " - Calculate the F-score for both the training subset and testing set.\n", + " - Make sure that you set the `beta` parameter!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Next, we will write a function that will accept a ML algorithm of our choice, and use our data to train it" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Import two classification metrics from sklearn - fbeta_score and accuracy_score\n", + "from sklearn.metrics import fbeta_score\n", + "from sklearn.metrics import accuracy_score\n", + "\n", + "def train_predict_evaluate(learner, sample_size, X_train, y_train, X_test, y_test): \n", + " '''\n", + " inputs:\n", + " - learner: the learning algorithm to be trained and predicted on\n", + " - sample_size: the size of samples (number) to be drawn from training set\n", + " - X_train: features training set\n", + " - y_train: quality training set\n", + " - X_test: features testing set\n", + " - y_test: quality testing set\n", + " '''\n", + " \n", + " results = {}\n", + " \n", + " \"\"\"\n", + " Fit/train the learner to the training data using slicing with 'sample_size' \n", + " using .fit(training_features[:], training_labels[:])\n", + " \"\"\"\n", + " start = time() # Get start time of training\n", + " learner = learner.fit(X_train[:sample_size], y_train[:sample_size]) #Train the model\n", + " end = time() # Get end time of training\n", + " \n", + " # Calculate the training time\n", + " results['train_time'] = end - start\n", + " \n", + " \"\"\"\n", + " Get the predictions on the first 300 training samples(X_train), \n", + " and also predictions on the test set(X_test) using .predict()\n", + " \"\"\"\n", + " start = time() # Get start time\n", + " predictions_train = learner.predict(X_train[:300])\n", + " predictions_test = learner.predict(X_test)\n", + " \n", + " end = time() # Get end time\n", + " \n", + " # Calculate the total prediction time\n", + " results['pred_time'] = end - start\n", + " \n", + " # Compute accuracy on the first 300 training samples which is y_train[:300]\n", + " results['acc_train'] = accuracy_score(y_train[:300], predictions_train)\n", + " \n", + " # Compute accuracy on test set using accuracy_score()\n", + " results['acc_test'] = accuracy_score(y_test, predictions_test)\n", + " \n", + " # Compute F1-score on the the first 300 training samples using fbeta_score()\n", + " results['f_train'] = fbeta_score(y_train[:300], predictions_train, beta=0.5, average='micro')\n", + " \n", + " # Compute F1-score on the test set which is y_test\n", + " results['f_test'] = fbeta_score(y_test, predictions_test, beta=0.5, average='micro')\n", + " \n", + " # Success\n", + " print(\"{} trained on {} samples.\".format(learner.__class__.__name__, sample_size))\n", + " \n", + " # Return the results\n", + " return results" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Implementation: Initial Model Evaluation\n", + "In the code cell, you will need to implement the following:\n", + "- Import the three supervised learning models you've discussed in the previous section.\n", + "- Initialize the three models and store them in `'clf_A'`, `'clf_B'`, and `'clf_C'`.\n", + " - Use a `'random_state'` for each model you use, if provided.\n", + " - **Note:** Use the default settings for each model — you will tune one specific model in a later section.\n", + "- Calculate the number of records equal to 1%, 10%, and 100% of the training data.\n", + " - Store those values in `'samples_1'`, `'samples_10'`, and `'samples_100'` respectively.\n", + "\n", + "**Note:** Depending on which algorithms you chose, the following implementation may take some time to run!\n", + "\n", + "Further reading: https://stackoverflow.com/questions/31421413/how-to-compute-precision-recall-accuracy-and-f1-score-for-the-multiclass-case" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GaussianNB trained on 12 samples.\n", + "GaussianNB trained on 127 samples.\n", + "GaussianNB trained on 1279 samples.\n", + "DecisionTreeClassifier trained on 12 samples.\n", + "DecisionTreeClassifier trained on 127 samples.\n", + "DecisionTreeClassifier trained on 1279 samples.\n", + "RandomForestClassifier trained on 12 samples.\n", + "RandomForestClassifier trained on 127 samples.\n", + "RandomForestClassifier trained on 1279 samples.\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyYAAAIsCAYAAAAH273gAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkvt/qIv9P19SAFoAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Import any three supervised learning classification models from sklearn\n", + "from sklearn.naive_bayes import GaussianNB\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "#from sklearn.linear_model import LogisticRegression\n", + "\n", + "# Initialize the three models\n", + "clf_A = GaussianNB()\n", + "clf_B = DecisionTreeClassifier(max_depth=None, random_state=None)\n", + "clf_C = RandomForestClassifier(max_depth=None, random_state=None)\n", + "\n", + "\n", + "# Calculate the number of samples for 1%, 10%, and 100% of the training data\n", + "# HINT: samples_100 is the entire training set i.e. len(y_train)\n", + "# HINT: samples_10 is 10% of samples_100\n", + "# HINT: samples_1 is 1% of samples_100\n", + "\n", + "samples_100 = len(y_train)\n", + "samples_10 = int(len(y_train)*10/100)\n", + "samples_1 = int(len(y_train)*1/100)\n", + "\n", + "# Collect results on the learners\n", + "results = {}\n", + "for clf in [clf_A, clf_B, clf_C]:\n", + " clf_name = clf.__class__.__name__\n", + " results[clf_name] = {}\n", + " for i, samples in enumerate([samples_1, samples_10, samples_100]):\n", + " results[clf_name][i] = \\\n", + " train_predict_evaluate(clf, samples, X_train, y_train, X_test, y_test)\n", + "\n", + "#print(results)\n", + "\n", + "# Run metrics visualization for the three supervised learning models chosen\n", + "vs.visualize_classification_performance(results)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Question: Why does Gaussian Naive Bayes perform poorly compared to the other methods?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Answer:" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "----\n", + "## Feature Importance\n", + "\n", + "An important task when performing supervised learning on a dataset like the census data we study here is determining which features provide the most predictive power. By focusing on the relationship between only a few crucial features and the target label we simplify our understanding of the phenomenon, which is most always a useful thing to do. In the case of this project, that means we wish to identify a small number of features that most strongly predict the quality of wines.\n", + "\n", + "Choose a scikit-learn classifier (e.g., adaboost, random forests) that has a `feature_importance_` attribute, which is a function that ranks the importance of features according to the chosen classifier. In the next python cell fit this classifier to training set and use this attribute to determine the top 5 most important features for the wines dataset." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Implementation - Extracting Feature Importance\n", + "Choose a `scikit-learn` supervised learning algorithm that has a `feature_importance_` attribute availble for it. This attribute is a function that ranks the importance of each feature when making predictions based on the chosen algorithm.\n", + "\n", + "In the code cell below, you will need to implement the following:\n", + " - Import a supervised learning model from sklearn if it is different from the three used earlier.\n", + " - Train the supervised model on the entire training set.\n", + " - Extract the feature importances using `'.feature_importances_'`." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['fixed acidity', 'volatile acidity', 'citric acid', 'residual sugar',\n", + " 'chlorides', 'free sulfur dioxide', 'total sulfur dioxide', 'density',\n", + " 'pH', 'sulphates', 'alcohol'],\n", + " dtype='object')\n", + "[ 0.07678729 0.14383287 0.07966764 0.08609296 0.06702213 0.07153301\n", + " 0.07083003 0.08641077 0.07436436 0.09575951 0.14769944]\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1QAAAFcCAYAAADPrf8ZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nhIqIiIiIiMhETKiIiIiIiIhM9H/XN3xFw19fTQAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Import a supervised learning model that has 'feature_importances_'\n", + "model = RandomForestClassifier(max_depth=None, random_state=None)\n", + "\n", + "# Train the supervised model on the training set using .fit(X_train, y_train)\n", + "model = model.fit(X_train, y_train)\n", + "\n", + "# Extract the feature importances using .feature_importances_ \n", + "importances = model.feature_importances_\n", + "\n", + "print(X_train.columns)\n", + "print(importances)\n", + "\n", + "# Plot\n", + "vs.feature_plot(importances, X_train, y_train)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Hyperparameter tuning using GridSearchCV:" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Unoptimized model\n", + "------\n", + "Accuracy score on testing data: 0.8906\n", + "F-score on testing data: 0.8906\n", + "\n", + "Optimized Model\n", + "------\n", + "RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n", + " max_depth=None, max_features=3, max_leaf_nodes=None,\n", + " min_impurity_decrease=0.0, min_impurity_split=None,\n", + " min_samples_leaf=1, min_samples_split=2,\n", + " min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=1,\n", + " oob_score=False, random_state=None, verbose=0,\n", + " warm_start=False)\n", + "\n", + "Final accuracy score on the testing data: 0.8969\n", + "Final F-score on the testing data: 0.8969\n" + ] + } + ], + "source": [ + "# TODO: Import 'GridSearchCV', 'make_scorer', and any other necessary libraries\n", + "from sklearn.model_selection import GridSearchCV\n", + "from sklearn.metrics import make_scorer\n", + "\n", + "# TODO: Initialize the classifier\n", + "clf = RandomForestClassifier(max_depth=None, random_state=None)\n", + "\n", + "# Create the parameters or base_estimators list you wish to tune, using a dictionary if needed.\n", + "# Example: parameters = {'parameter_1': [value1, value2], 'parameter_2': [value1, value2]}\n", + "\n", + "\"\"\"\n", + "n_estimators: Number of trees in the forest\n", + "max_features: The number of features to consider when looking for the best split\n", + "max_depth: The maximum depth of the tree\n", + "\"\"\"\n", + "parameters = {'n_estimators': [10, 20, 30], 'max_features':[3,4,5, None], 'max_depth': [5,6,7, None]}\n", + "\n", + "# TODO: Make an fbeta_score scoring object using make_scorer()\n", + "scorer = make_scorer(fbeta_score, beta=0.5, average=\"micro\")\n", + "\n", + "# TODO: Perform grid search on the claszsifier using 'scorer' as the scoring method using GridSearchCV()\n", + "grid_obj = GridSearchCV(clf, parameters, scoring=scorer)\n", + "\n", + "# TODO: Fit the grid search object to the training data and find the optimal parameters using fit()\n", + "grid_fit = grid_obj.fit(X_train, y_train)\n", + "\n", + "# Get the estimator\n", + "best_clf = grid_fit.best_estimator_\n", + "\n", + "# Make predictions using the unoptimized and model\n", + "predictions = (clf.fit(X_train, y_train)).predict(X_test)\n", + "best_predictions = best_clf.predict(X_test)\n", + "\n", + "# Report the before-and-afterscores\n", + "print(\"Unoptimized model\\n------\")\n", + "print(\"Accuracy score on testing data: {:.4f}\".format(accuracy_score(y_test, predictions)))\n", + "print(\"F-score on testing data: {:.4f}\".format(fbeta_score(y_test, predictions, beta = 0.5, average=\"micro\")))\n", + "print(\"\\nOptimized Model\\n------\")\n", + "print(best_clf)\n", + "print(\"\\nFinal accuracy score on the testing data: {:.4f}\".format(accuracy_score(y_test, best_predictions)))\n", + "print(\"Final F-score on the testing data: {:.4f}\".format(fbeta_score(y_test, best_predictions, beta = 0.5, average=\"micro\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Finally, you can test out your model by giving it a bunch of inputs:" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Predicted quality for Wine 1 is: 1\n", + "Predicted quality for Wine 2 is: 2\n", + "Predicted quality for Wine 3 is: 1\n" + ] + } + ], + "source": [ + "\"\"\"Give inputs in this order: fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free sulfur dioxide,\n", + "total sulfur dioxide, density, pH, sulphates, alcohol\n", + "\n", + "\"\"\"\n", + "wine_data = [[8, 0.2, 0.16, 1.8, 0.065, 3, 16, 0.9962, 3.42, 0.92, 9.5],\n", + " [8, 0, 0.16, 1.8, 0.065, 3, 16, 0.9962, 3.42, 0.92, 1 ],\n", + " [7.4, 2, 0.00, 1.9, 0.076, 11.0, 34.0, 0.9978, 3.51, 0.56, 0.6]]\n", + " \n", + "# Show predictions\n", + "for i, quality in enumerate(best_clf.predict(wine_data)):\n", + " print(\"Predicted quality for Wine {} is: {}\".format(i+1, quality))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Question: What conclusions can you draw based on the above observations? Would you say that the model is more good at predicting average quality wines? Why?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# TODOS:\n", + "1. Try solving this exercise again as a regression problem. Some of the common algorithms you can try from sklearn are *DecisionTreeRegressor*, *RandomForestRegressor*, and using *AdaBoostRegressor* with *DecisionTreeRegressor*. Some of the performance metrics that you might need to use in place of Accuracy and f1score are Mean Squared Error and R2Score\n", + "\n", + "2. Try using the White Wines data-set in place of the Red Wines\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/sagemaker-exercises/data/.ipynb_checkpoints/AMZN-2021-Shareholder-Letter-checkpoint.pdf b/sagemaker-exercises/data/.ipynb_checkpoints/AMZN-2021-Shareholder-Letter-checkpoint.pdf new file mode 100644 index 0000000..5a43496 Binary files /dev/null and b/sagemaker-exercises/data/.ipynb_checkpoints/AMZN-2021-Shareholder-Letter-checkpoint.pdf differ diff --git a/sagemaker-exercises/data/AMZN-2021-Shareholder-Letter.pdf b/sagemaker-exercises/data/AMZN-2021-Shareholder-Letter.pdf new file mode 100644 index 0000000..9c64276 Binary files /dev/null and b/sagemaker-exercises/data/AMZN-2021-Shareholder-Letter.pdf differ diff --git a/sagemaker-exercises/data/AMZN-2022-Shareholder-Letter.pdf b/sagemaker-exercises/data/AMZN-2022-Shareholder-Letter.pdf new file mode 100644 index 0000000..97320e0 Binary files /dev/null and b/sagemaker-exercises/data/AMZN-2022-Shareholder-Letter.pdf differ diff --git a/sagemaker-exercises/data/winequality-red.csv b/sagemaker-exercises/data/winequality-red.csv new file mode 100644 index 0000000..9bb4e3c --- /dev/null +++ b/sagemaker-exercises/data/winequality-red.csv @@ -0,0 +1,1600 @@ +"fixed acidity";"volatile acidity";"citric acid";"residual sugar";"chlorides";"free sulfur dioxide";"total sulfur dioxide";"density";"pH";"sulphates";"alcohol";"quality" +7.4;0.7;0;1.9;0.076;11;34;0.9978;3.51;0.56;9.4;5 +7.8;0.88;0;2.6;0.098;25;67;0.9968;3.2;0.68;9.8;5 +7.8;0.76;0.04;2.3;0.092;15;54;0.997;3.26;0.65;9.8;5 +11.2;0.28;0.56;1.9;0.075;17;60;0.998;3.16;0.58;9.8;6 +7.4;0.7;0;1.9;0.076;11;34;0.9978;3.51;0.56;9.4;5 +7.4;0.66;0;1.8;0.075;13;40;0.9978;3.51;0.56;9.4;5 +7.9;0.6;0.06;1.6;0.069;15;59;0.9964;3.3;0.46;9.4;5 +7.3;0.65;0;1.2;0.065;15;21;0.9946;3.39;0.47;10;7 +7.8;0.58;0.02;2;0.073;9;18;0.9968;3.36;0.57;9.5;7 +7.5;0.5;0.36;6.1;0.071;17;102;0.9978;3.35;0.8;10.5;5 +6.7;0.58;0.08;1.8;0.097;15;65;0.9959;3.28;0.54;9.2;5 +7.5;0.5;0.36;6.1;0.071;17;102;0.9978;3.35;0.8;10.5;5 +5.6;0.615;0;1.6;0.089;16;59;0.9943;3.58;0.52;9.9;5 +7.8;0.61;0.29;1.6;0.114;9;29;0.9974;3.26;1.56;9.1;5 +8.9;0.62;0.18;3.8;0.176;52;145;0.9986;3.16;0.88;9.2;5 +8.9;0.62;0.19;3.9;0.17;51;148;0.9986;3.17;0.93;9.2;5 +8.5;0.28;0.56;1.8;0.092;35;103;0.9969;3.3;0.75;10.5;7 +8.1;0.56;0.28;1.7;0.368;16;56;0.9968;3.11;1.28;9.3;5 +7.4;0.59;0.08;4.4;0.086;6;29;0.9974;3.38;0.5;9;4 +7.9;0.32;0.51;1.8;0.341;17;56;0.9969;3.04;1.08;9.2;6 +8.9;0.22;0.48;1.8;0.077;29;60;0.9968;3.39;0.53;9.4;6 +7.6;0.39;0.31;2.3;0.082;23;71;0.9982;3.52;0.65;9.7;5 +7.9;0.43;0.21;1.6;0.106;10;37;0.9966;3.17;0.91;9.5;5 +8.5;0.49;0.11;2.3;0.084;9;67;0.9968;3.17;0.53;9.4;5 +6.9;0.4;0.14;2.4;0.085;21;40;0.9968;3.43;0.63;9.7;6 +6.3;0.39;0.16;1.4;0.08;11;23;0.9955;3.34;0.56;9.3;5 +7.6;0.41;0.24;1.8;0.08;4;11;0.9962;3.28;0.59;9.5;5 +7.9;0.43;0.21;1.6;0.106;10;37;0.9966;3.17;0.91;9.5;5 +7.1;0.71;0;1.9;0.08;14;35;0.9972;3.47;0.55;9.4;5 +7.8;0.645;0;2;0.082;8;16;0.9964;3.38;0.59;9.8;6 +6.7;0.675;0.07;2.4;0.089;17;82;0.9958;3.35;0.54;10.1;5 +6.9;0.685;0;2.5;0.105;22;37;0.9966;3.46;0.57;10.6;6 +8.3;0.655;0.12;2.3;0.083;15;113;0.9966;3.17;0.66;9.8;5 +6.9;0.605;0.12;10.7;0.073;40;83;0.9993;3.45;0.52;9.4;6 +5.2;0.32;0.25;1.8;0.103;13;50;0.9957;3.38;0.55;9.2;5 +7.8;0.645;0;5.5;0.086;5;18;0.9986;3.4;0.55;9.6;6 +7.8;0.6;0.14;2.4;0.086;3;15;0.9975;3.42;0.6;10.8;6 +8.1;0.38;0.28;2.1;0.066;13;30;0.9968;3.23;0.73;9.7;7 +5.7;1.13;0.09;1.5;0.172;7;19;0.994;3.5;0.48;9.8;4 +7.3;0.45;0.36;5.9;0.074;12;87;0.9978;3.33;0.83;10.5;5 +7.3;0.45;0.36;5.9;0.074;12;87;0.9978;3.33;0.83;10.5;5 +8.8;0.61;0.3;2.8;0.088;17;46;0.9976;3.26;0.51;9.3;4 +7.5;0.49;0.2;2.6;0.332;8;14;0.9968;3.21;0.9;10.5;6 +8.1;0.66;0.22;2.2;0.069;9;23;0.9968;3.3;1.2;10.3;5 +6.8;0.67;0.02;1.8;0.05;5;11;0.9962;3.48;0.52;9.5;5 +4.6;0.52;0.15;2.1;0.054;8;65;0.9934;3.9;0.56;13.1;4 +7.7;0.935;0.43;2.2;0.114;22;114;0.997;3.25;0.73;9.2;5 +8.7;0.29;0.52;1.6;0.113;12;37;0.9969;3.25;0.58;9.5;5 +6.4;0.4;0.23;1.6;0.066;5;12;0.9958;3.34;0.56;9.2;5 +5.6;0.31;0.37;1.4;0.074;12;96;0.9954;3.32;0.58;9.2;5 +8.8;0.66;0.26;1.7;0.074;4;23;0.9971;3.15;0.74;9.2;5 +6.6;0.52;0.04;2.2;0.069;8;15;0.9956;3.4;0.63;9.4;6 +6.6;0.5;0.04;2.1;0.068;6;14;0.9955;3.39;0.64;9.4;6 +8.6;0.38;0.36;3;0.081;30;119;0.997;3.2;0.56;9.4;5 +7.6;0.51;0.15;2.8;0.11;33;73;0.9955;3.17;0.63;10.2;6 +7.7;0.62;0.04;3.8;0.084;25;45;0.9978;3.34;0.53;9.5;5 +10.2;0.42;0.57;3.4;0.07;4;10;0.9971;3.04;0.63;9.6;5 +7.5;0.63;0.12;5.1;0.111;50;110;0.9983;3.26;0.77;9.4;5 +7.8;0.59;0.18;2.3;0.076;17;54;0.9975;3.43;0.59;10;5 +7.3;0.39;0.31;2.4;0.074;9;46;0.9962;3.41;0.54;9.4;6 +8.8;0.4;0.4;2.2;0.079;19;52;0.998;3.44;0.64;9.2;5 +7.7;0.69;0.49;1.8;0.115;20;112;0.9968;3.21;0.71;9.3;5 +7.5;0.52;0.16;1.9;0.085;12;35;0.9968;3.38;0.62;9.5;7 +7;0.735;0.05;2;0.081;13;54;0.9966;3.39;0.57;9.8;5 +7.2;0.725;0.05;4.65;0.086;4;11;0.9962;3.41;0.39;10.9;5 +7.2;0.725;0.05;4.65;0.086;4;11;0.9962;3.41;0.39;10.9;5 +7.5;0.52;0.11;1.5;0.079;11;39;0.9968;3.42;0.58;9.6;5 +6.6;0.705;0.07;1.6;0.076;6;15;0.9962;3.44;0.58;10.7;5 +9.3;0.32;0.57;2;0.074;27;65;0.9969;3.28;0.79;10.7;5 +8;0.705;0.05;1.9;0.074;8;19;0.9962;3.34;0.95;10.5;6 +7.7;0.63;0.08;1.9;0.076;15;27;0.9967;3.32;0.54;9.5;6 +7.7;0.67;0.23;2.1;0.088;17;96;0.9962;3.32;0.48;9.5;5 +7.7;0.69;0.22;1.9;0.084;18;94;0.9961;3.31;0.48;9.5;5 +8.3;0.675;0.26;2.1;0.084;11;43;0.9976;3.31;0.53;9.2;4 +9.7;0.32;0.54;2.5;0.094;28;83;0.9984;3.28;0.82;9.6;5 +8.8;0.41;0.64;2.2;0.093;9;42;0.9986;3.54;0.66;10.5;5 +8.8;0.41;0.64;2.2;0.093;9;42;0.9986;3.54;0.66;10.5;5 +6.8;0.785;0;2.4;0.104;14;30;0.9966;3.52;0.55;10.7;6 +6.7;0.75;0.12;2;0.086;12;80;0.9958;3.38;0.52;10.1;5 +8.3;0.625;0.2;1.5;0.08;27;119;0.9972;3.16;1.12;9.1;4 +6.2;0.45;0.2;1.6;0.069;3;15;0.9958;3.41;0.56;9.2;5 +7.8;0.43;0.7;1.9;0.464;22;67;0.9974;3.13;1.28;9.4;5 +7.4;0.5;0.47;2;0.086;21;73;0.997;3.36;0.57;9.1;5 +7.3;0.67;0.26;1.8;0.401;16;51;0.9969;3.16;1.14;9.4;5 +6.3;0.3;0.48;1.8;0.069;18;61;0.9959;3.44;0.78;10.3;6 +6.9;0.55;0.15;2.2;0.076;19;40;0.9961;3.41;0.59;10.1;5 +8.6;0.49;0.28;1.9;0.11;20;136;0.9972;2.93;1.95;9.9;6 +7.7;0.49;0.26;1.9;0.062;9;31;0.9966;3.39;0.64;9.6;5 +9.3;0.39;0.44;2.1;0.107;34;125;0.9978;3.14;1.22;9.5;5 +7;0.62;0.08;1.8;0.076;8;24;0.9978;3.48;0.53;9;5 +7.9;0.52;0.26;1.9;0.079;42;140;0.9964;3.23;0.54;9.5;5 +8.6;0.49;0.28;1.9;0.11;20;136;0.9972;2.93;1.95;9.9;6 +8.6;0.49;0.29;2;0.11;19;133;0.9972;2.93;1.98;9.8;5 +7.7;0.49;0.26;1.9;0.062;9;31;0.9966;3.39;0.64;9.6;5 +5;1.02;0.04;1.4;0.045;41;85;0.9938;3.75;0.48;10.5;4 +4.7;0.6;0.17;2.3;0.058;17;106;0.9932;3.85;0.6;12.9;6 +6.8;0.775;0;3;0.102;8;23;0.9965;3.45;0.56;10.7;5 +7;0.5;0.25;2;0.07;3;22;0.9963;3.25;0.63;9.2;5 +7.6;0.9;0.06;2.5;0.079;5;10;0.9967;3.39;0.56;9.8;5 +8.1;0.545;0.18;1.9;0.08;13;35;0.9972;3.3;0.59;9;6 +8.3;0.61;0.3;2.1;0.084;11;50;0.9972;3.4;0.61;10.2;6 +7.8;0.5;0.3;1.9;0.075;8;22;0.9959;3.31;0.56;10.4;6 +8.1;0.545;0.18;1.9;0.08;13;35;0.9972;3.3;0.59;9;6 +8.1;0.575;0.22;2.1;0.077;12;65;0.9967;3.29;0.51;9.2;5 +7.2;0.49;0.24;2.2;0.07;5;36;0.996;3.33;0.48;9.4;5 +8.1;0.575;0.22;2.1;0.077;12;65;0.9967;3.29;0.51;9.2;5 +7.8;0.41;0.68;1.7;0.467;18;69;0.9973;3.08;1.31;9.3;5 +6.2;0.63;0.31;1.7;0.088;15;64;0.9969;3.46;0.79;9.3;5 +8;0.33;0.53;2.5;0.091;18;80;0.9976;3.37;0.8;9.6;6 +8.1;0.785;0.52;2;0.122;37;153;0.9969;3.21;0.69;9.3;5 +7.8;0.56;0.19;1.8;0.104;12;47;0.9964;3.19;0.93;9.5;5 +8.4;0.62;0.09;2.2;0.084;11;108;0.9964;3.15;0.66;9.8;5 +8.4;0.6;0.1;2.2;0.085;14;111;0.9964;3.15;0.66;9.8;5 +10.1;0.31;0.44;2.3;0.08;22;46;0.9988;3.32;0.67;9.7;6 +7.8;0.56;0.19;1.8;0.104;12;47;0.9964;3.19;0.93;9.5;5 +9.4;0.4;0.31;2.2;0.09;13;62;0.9966;3.07;0.63;10.5;6 +8.3;0.54;0.28;1.9;0.077;11;40;0.9978;3.39;0.61;10;6 +7.8;0.56;0.12;2;0.082;7;28;0.997;3.37;0.5;9.4;6 +8.8;0.55;0.04;2.2;0.119;14;56;0.9962;3.21;0.6;10.9;6 +7;0.69;0.08;1.8;0.097;22;89;0.9959;3.34;0.54;9.2;6 +7.3;1.07;0.09;1.7;0.178;10;89;0.9962;3.3;0.57;9;5 +8.8;0.55;0.04;2.2;0.119;14;56;0.9962;3.21;0.6;10.9;6 +7.3;0.695;0;2.5;0.075;3;13;0.998;3.49;0.52;9.2;5 +8;0.71;0;2.6;0.08;11;34;0.9976;3.44;0.53;9.5;5 +7.8;0.5;0.17;1.6;0.082;21;102;0.996;3.39;0.48;9.5;5 +9;0.62;0.04;1.9;0.146;27;90;0.9984;3.16;0.7;9.4;5 +8.2;1.33;0;1.7;0.081;3;12;0.9964;3.53;0.49;10.9;5 +8.1;1.33;0;1.8;0.082;3;12;0.9964;3.54;0.48;10.9;5 +8;0.59;0.16;1.8;0.065;3;16;0.9962;3.42;0.92;10.5;7 +6.1;0.38;0.15;1.8;0.072;6;19;0.9955;3.42;0.57;9.4;5 +8;0.745;0.56;2;0.118;30;134;0.9968;3.24;0.66;9.4;5 +5.6;0.5;0.09;2.3;0.049;17;99;0.9937;3.63;0.63;13;5 +5.6;0.5;0.09;2.3;0.049;17;99;0.9937;3.63;0.63;13;5 +6.6;0.5;0.01;1.5;0.06;17;26;0.9952;3.4;0.58;9.8;6 +7.9;1.04;0.05;2.2;0.084;13;29;0.9959;3.22;0.55;9.9;6 +8.4;0.745;0.11;1.9;0.09;16;63;0.9965;3.19;0.82;9.6;5 +8.3;0.715;0.15;1.8;0.089;10;52;0.9968;3.23;0.77;9.5;5 +7.2;0.415;0.36;2;0.081;13;45;0.9972;3.48;0.64;9.2;5 +7.8;0.56;0.19;2.1;0.081;15;105;0.9962;3.33;0.54;9.5;5 +7.8;0.56;0.19;2;0.081;17;108;0.9962;3.32;0.54;9.5;5 +8.4;0.745;0.11;1.9;0.09;16;63;0.9965;3.19;0.82;9.6;5 +8.3;0.715;0.15;1.8;0.089;10;52;0.9968;3.23;0.77;9.5;5 +5.2;0.34;0;1.8;0.05;27;63;0.9916;3.68;0.79;14;6 +6.3;0.39;0.08;1.7;0.066;3;20;0.9954;3.34;0.58;9.4;5 +5.2;0.34;0;1.8;0.05;27;63;0.9916;3.68;0.79;14;6 +8.1;0.67;0.55;1.8;0.117;32;141;0.9968;3.17;0.62;9.4;5 +5.8;0.68;0.02;1.8;0.087;21;94;0.9944;3.54;0.52;10;5 +7.6;0.49;0.26;1.6;0.236;10;88;0.9968;3.11;0.8;9.3;5 +6.9;0.49;0.1;2.3;0.074;12;30;0.9959;3.42;0.58;10.2;6 +8.2;0.4;0.44;2.8;0.089;11;43;0.9975;3.53;0.61;10.5;6 +7.3;0.33;0.47;2.1;0.077;5;11;0.9958;3.33;0.53;10.3;6 +9.2;0.52;1;3.4;0.61;32;69;0.9996;2.74;2.0;9.4;4 +7.5;0.6;0.03;1.8;0.095;25;99;0.995;3.35;0.54;10.1;5 +7.5;0.6;0.03;1.8;0.095;25;99;0.995;3.35;0.54;10.1;5 +7.1;0.43;0.42;5.5;0.07;29;129;0.9973;3.42;0.72;10.5;5 +7.1;0.43;0.42;5.5;0.071;28;128;0.9973;3.42;0.71;10.5;5 +7.1;0.43;0.42;5.5;0.07;29;129;0.9973;3.42;0.72;10.5;5 +7.1;0.43;0.42;5.5;0.071;28;128;0.9973;3.42;0.71;10.5;5 +7.1;0.68;0;2.2;0.073;12;22;0.9969;3.48;0.5;9.3;5 +6.8;0.6;0.18;1.9;0.079;18;86;0.9968;3.59;0.57;9.3;6 +7.6;0.95;0.03;2;0.09;7;20;0.9959;3.2;0.56;9.6;5 +7.6;0.68;0.02;1.3;0.072;9;20;0.9965;3.17;1.08;9.2;4 +7.8;0.53;0.04;1.7;0.076;17;31;0.9964;3.33;0.56;10;6 +7.4;0.6;0.26;7.3;0.07;36;121;0.9982;3.37;0.49;9.4;5 +7.3;0.59;0.26;7.2;0.07;35;121;0.9981;3.37;0.49;9.4;5 +7.8;0.63;0.48;1.7;0.1;14;96;0.9961;3.19;0.62;9.5;5 +6.8;0.64;0.1;2.1;0.085;18;101;0.9956;3.34;0.52;10.2;5 +7.3;0.55;0.03;1.6;0.072;17;42;0.9956;3.37;0.48;9;4 +6.8;0.63;0.07;2.1;0.089;11;44;0.9953;3.47;0.55;10.4;6 +7.5;0.705;0.24;1.8;0.36;15;63;0.9964;3;1.59;9.5;5 +7.9;0.885;0.03;1.8;0.058;4;8;0.9972;3.36;0.33;9.1;4 +8;0.42;0.17;2;0.073;6;18;0.9972;3.29;0.61;9.2;6 +8;0.42;0.17;2;0.073;6;18;0.9972;3.29;0.61;9.2;6 +7.4;0.62;0.05;1.9;0.068;24;42;0.9961;3.42;0.57;11.5;6 +7.3;0.38;0.21;2;0.08;7;35;0.9961;3.33;0.47;9.5;5 +6.9;0.5;0.04;1.5;0.085;19;49;0.9958;3.35;0.78;9.5;5 +7.3;0.38;0.21;2;0.08;7;35;0.9961;3.33;0.47;9.5;5 +7.5;0.52;0.42;2.3;0.087;8;38;0.9972;3.58;0.61;10.5;6 +7;0.805;0;2.5;0.068;7;20;0.9969;3.48;0.56;9.6;5 +8.8;0.61;0.14;2.4;0.067;10;42;0.9969;3.19;0.59;9.5;5 +8.8;0.61;0.14;2.4;0.067;10;42;0.9969;3.19;0.59;9.5;5 +8.9;0.61;0.49;2;0.27;23;110;0.9972;3.12;1.02;9.3;5 +7.2;0.73;0.02;2.5;0.076;16;42;0.9972;3.44;0.52;9.3;5 +6.8;0.61;0.2;1.8;0.077;11;65;0.9971;3.54;0.58;9.3;5 +6.7;0.62;0.21;1.9;0.079;8;62;0.997;3.52;0.58;9.3;6 +8.9;0.31;0.57;2;0.111;26;85;0.9971;3.26;0.53;9.7;5 +7.4;0.39;0.48;2;0.082;14;67;0.9972;3.34;0.55;9.2;5 +7.7;0.705;0.1;2.6;0.084;9;26;0.9976;3.39;0.49;9.7;5 +7.9;0.5;0.33;2;0.084;15;143;0.9968;3.2;0.55;9.5;5 +7.9;0.49;0.32;1.9;0.082;17;144;0.9968;3.2;0.55;9.5;5 +8.2;0.5;0.35;2.9;0.077;21;127;0.9976;3.23;0.62;9.4;5 +6.4;0.37;0.25;1.9;0.074;21;49;0.9974;3.57;0.62;9.8;6 +6.8;0.63;0.12;3.8;0.099;16;126;0.9969;3.28;0.61;9.5;5 +7.6;0.55;0.21;2.2;0.071;7;28;0.9964;3.28;0.55;9.7;5 +7.6;0.55;0.21;2.2;0.071;7;28;0.9964;3.28;0.55;9.7;5 +7.8;0.59;0.33;2;0.074;24;120;0.9968;3.25;0.54;9.4;5 +7.3;0.58;0.3;2.4;0.074;15;55;0.9968;3.46;0.59;10.2;5 +11.5;0.3;0.6;2;0.067;12;27;0.9981;3.11;0.97;10.1;6 +5.4;0.835;0.08;1.2;0.046;13;93;0.9924;3.57;0.85;13;7 +6.9;1.09;0.06;2.1;0.061;12;31;0.9948;3.51;0.43;11.4;4 +9.6;0.32;0.47;1.4;0.056;9;24;0.99695;3.22;0.82;10.3;7 +8.8;0.37;0.48;2.1;0.097;39;145;0.9975;3.04;1.03;9.3;5 +6.8;0.5;0.11;1.5;0.075;16;49;0.99545;3.36;0.79;9.5;5 +7;0.42;0.35;1.6;0.088;16;39;0.9961;3.34;0.55;9.2;5 +7;0.43;0.36;1.6;0.089;14;37;0.99615;3.34;0.56;9.2;6 +12.8;0.3;0.74;2.6;0.095;9;28;0.9994;3.2;0.77;10.8;7 +12.8;0.3;0.74;2.6;0.095;9;28;0.9994;3.2;0.77;10.8;7 +7.8;0.57;0.31;1.8;0.069;26;120;0.99625;3.29;0.53;9.3;5 +7.8;0.44;0.28;2.7;0.1;18;95;0.9966;3.22;0.67;9.4;5 +11;0.3;0.58;2.1;0.054;7;19;0.998;3.31;0.88;10.5;7 +9.7;0.53;0.6;2;0.039;5;19;0.99585;3.3;0.86;12.4;6 +8;0.725;0.24;2.8;0.083;10;62;0.99685;3.35;0.56;10;6 +11.6;0.44;0.64;2.1;0.059;5;15;0.998;3.21;0.67;10.2;6 +8.2;0.57;0.26;2.2;0.06;28;65;0.9959;3.3;0.43;10.1;5 +7.8;0.735;0.08;2.4;0.092;10;41;0.9974;3.24;0.71;9.8;6 +7;0.49;0.49;5.6;0.06;26;121;0.9974;3.34;0.76;10.5;5 +8.7;0.625;0.16;2;0.101;13;49;0.9962;3.14;0.57;11;5 +8.1;0.725;0.22;2.2;0.072;11;41;0.9967;3.36;0.55;9.1;5 +7.5;0.49;0.19;1.9;0.076;10;44;0.9957;3.39;0.54;9.7;5 +7.8;0.53;0.33;2.4;0.08;24;144;0.99655;3.3;0.6;9.5;5 +7.8;0.34;0.37;2;0.082;24;58;0.9964;3.34;0.59;9.4;6 +7.4;0.53;0.26;2;0.101;16;72;0.9957;3.15;0.57;9.4;5 +6.8;0.61;0.04;1.5;0.057;5;10;0.99525;3.42;0.6;9.5;5 +8.6;0.645;0.25;2;0.083;8;28;0.99815;3.28;0.6;10;6 +8.4;0.635;0.36;2;0.089;15;55;0.99745;3.31;0.57;10.4;4 +7.7;0.43;0.25;2.6;0.073;29;63;0.99615;3.37;0.58;10.5;6 +8.9;0.59;0.5;2;0.337;27;81;0.9964;3.04;1.61;9.5;6 +9;0.82;0.14;2.6;0.089;9;23;0.9984;3.39;0.63;9.8;5 +7.7;0.43;0.25;2.6;0.073;29;63;0.99615;3.37;0.58;10.5;6 +6.9;0.52;0.25;2.6;0.081;10;37;0.99685;3.46;0.5;11;5 +5.2;0.48;0.04;1.6;0.054;19;106;0.9927;3.54;0.62;12.2;7 +8;0.38;0.06;1.8;0.078;12;49;0.99625;3.37;0.52;9.9;6 +8.5;0.37;0.2;2.8;0.09;18;58;0.998;3.34;0.7;9.6;6 +6.9;0.52;0.25;2.6;0.081;10;37;0.99685;3.46;0.5;11;5 +8.2;1;0.09;2.3;0.065;7;37;0.99685;3.32;0.55;9;6 +7.2;0.63;0;1.9;0.097;14;38;0.99675;3.37;0.58;9;6 +7.2;0.63;0;1.9;0.097;14;38;0.99675;3.37;0.58;9;6 +7.2;0.645;0;1.9;0.097;15;39;0.99675;3.37;0.58;9.2;6 +7.2;0.63;0;1.9;0.097;14;38;0.99675;3.37;0.58;9;6 +8.2;1;0.09;2.3;0.065;7;37;0.99685;3.32;0.55;9;6 +8.9;0.635;0.37;1.7;0.263;5;62;0.9971;3;1.09;9.3;5 +12;0.38;0.56;2.1;0.093;6;24;0.99925;3.14;0.71;10.9;6 +7.7;0.58;0.1;1.8;0.102;28;109;0.99565;3.08;0.49;9.8;6 +15;0.21;0.44;2.2;0.075;10;24;1.00005;3.07;0.84;9.2;7 +15;0.21;0.44;2.2;0.075;10;24;1.00005;3.07;0.84;9.2;7 +7.3;0.66;0;2;0.084;6;23;0.9983;3.61;0.96;9.9;6 +7.1;0.68;0.07;1.9;0.075;16;51;0.99685;3.38;0.52;9.5;5 +8.2;0.6;0.17;2.3;0.072;11;73;0.9963;3.2;0.45;9.3;5 +7.7;0.53;0.06;1.7;0.074;9;39;0.99615;3.35;0.48;9.8;6 +7.3;0.66;0;2;0.084;6;23;0.9983;3.61;0.96;9.9;6 +10.8;0.32;0.44;1.6;0.063;16;37;0.9985;3.22;0.78;10;6 +7.1;0.6;0;1.8;0.074;16;34;0.9972;3.47;0.7;9.9;6 +11.1;0.35;0.48;3.1;0.09;5;21;0.9986;3.17;0.53;10.5;5 +7.7;0.775;0.42;1.9;0.092;8;86;0.9959;3.23;0.59;9.5;5 +7.1;0.6;0;1.8;0.074;16;34;0.9972;3.47;0.7;9.9;6 +8;0.57;0.23;3.2;0.073;17;119;0.99675;3.26;0.57;9.3;5 +9.4;0.34;0.37;2.2;0.075;5;13;0.998;3.22;0.62;9.2;5 +6.6;0.695;0;2.1;0.075;12;56;0.9968;3.49;0.67;9.2;5 +7.7;0.41;0.76;1.8;0.611;8;45;0.9968;3.06;1.26;9.4;5 +10;0.31;0.47;2.6;0.085;14;33;0.99965;3.36;0.8;10.5;7 +7.9;0.33;0.23;1.7;0.077;18;45;0.99625;3.29;0.65;9.3;5 +7;0.975;0.04;2;0.087;12;67;0.99565;3.35;0.6;9.4;4 +8;0.52;0.03;1.7;0.07;10;35;0.99575;3.34;0.57;10;5 +7.9;0.37;0.23;1.8;0.077;23;49;0.9963;3.28;0.67;9.3;5 +12.5;0.56;0.49;2.4;0.064;5;27;0.9999;3.08;0.87;10.9;5 +11.8;0.26;0.52;1.8;0.071;6;10;0.9968;3.2;0.72;10.2;7 +8.1;0.87;0;3.3;0.096;26;61;1.00025;3.6;0.72;9.8;4 +7.9;0.35;0.46;3.6;0.078;15;37;0.9973;3.35;0.86;12.8;8 +6.9;0.54;0.04;3;0.077;7;27;0.9987;3.69;0.91;9.4;6 +11.5;0.18;0.51;4;0.104;4;23;0.9996;3.28;0.97;10.1;6 +7.9;0.545;0.06;4;0.087;27;61;0.9965;3.36;0.67;10.7;6 +11.5;0.18;0.51;4;0.104;4;23;0.9996;3.28;0.97;10.1;6 +10.9;0.37;0.58;4;0.071;17;65;0.99935;3.22;0.78;10.1;5 +8.4;0.715;0.2;2.4;0.076;10;38;0.99735;3.31;0.64;9.4;5 +7.5;0.65;0.18;7;0.088;27;94;0.99915;3.38;0.77;9.4;5 +7.9;0.545;0.06;4;0.087;27;61;0.9965;3.36;0.67;10.7;6 +6.9;0.54;0.04;3;0.077;7;27;0.9987;3.69;0.91;9.4;6 +11.5;0.18;0.51;4;0.104;4;23;0.9996;3.28;0.97;10.1;6 +10.3;0.32;0.45;6.4;0.073;5;13;0.9976;3.23;0.82;12.6;8 +8.9;0.4;0.32;5.6;0.087;10;47;0.9991;3.38;0.77;10.5;7 +11.4;0.26;0.44;3.6;0.071;6;19;0.9986;3.12;0.82;9.3;6 +7.7;0.27;0.68;3.5;0.358;5;10;0.9972;3.25;1.08;9.9;7 +7.6;0.52;0.12;3;0.067;12;53;0.9971;3.36;0.57;9.1;5 +8.9;0.4;0.32;5.6;0.087;10;47;0.9991;3.38;0.77;10.5;7 +9.9;0.59;0.07;3.4;0.102;32;71;1.00015;3.31;0.71;9.8;5 +9.9;0.59;0.07;3.4;0.102;32;71;1.00015;3.31;0.71;9.8;5 +12;0.45;0.55;2;0.073;25;49;0.9997;3.1;0.76;10.3;6 +7.5;0.4;0.12;3;0.092;29;53;0.9967;3.37;0.7;10.3;6 +8.7;0.52;0.09;2.5;0.091;20;49;0.9976;3.34;0.86;10.6;7 +11.6;0.42;0.53;3.3;0.105;33;98;1.001;3.2;0.95;9.2;5 +8.7;0.52;0.09;2.5;0.091;20;49;0.9976;3.34;0.86;10.6;7 +11;0.2;0.48;2;0.343;6;18;0.9979;3.3;0.71;10.5;5 +10.4;0.55;0.23;2.7;0.091;18;48;0.9994;3.22;0.64;10.3;6 +6.9;0.36;0.25;2.4;0.098;5;16;0.9964;3.41;0.6;10.1;6 +13.3;0.34;0.52;3.2;0.094;17;53;1.0014;3.05;0.81;9.5;6 +10.8;0.5;0.46;2.5;0.073;5;27;1.0001;3.05;0.64;9.5;5 +10.6;0.83;0.37;2.6;0.086;26;70;0.9981;3.16;0.52;9.9;5 +7.1;0.63;0.06;2;0.083;8;29;0.99855;3.67;0.73;9.6;5 +7.2;0.65;0.02;2.3;0.094;5;31;0.9993;3.67;0.8;9.7;5 +6.9;0.67;0.06;2.1;0.08;8;33;0.99845;3.68;0.71;9.6;5 +7.5;0.53;0.06;2.6;0.086;20;44;0.9965;3.38;0.59;10.7;6 +11.1;0.18;0.48;1.5;0.068;7;15;0.9973;3.22;0.64;10.1;6 +8.3;0.705;0.12;2.6;0.092;12;28;0.9994;3.51;0.72;10;5 +7.4;0.67;0.12;1.6;0.186;5;21;0.996;3.39;0.54;9.5;5 +8.4;0.65;0.6;2.1;0.112;12;90;0.9973;3.2;0.52;9.2;5 +10.3;0.53;0.48;2.5;0.063;6;25;0.9998;3.12;0.59;9.3;6 +7.6;0.62;0.32;2.2;0.082;7;54;0.9966;3.36;0.52;9.4;5 +10.3;0.41;0.42;2.4;0.213;6;14;0.9994;3.19;0.62;9.5;6 +10.3;0.43;0.44;2.4;0.214;5;12;0.9994;3.19;0.63;9.5;6 +7.4;0.29;0.38;1.7;0.062;9;30;0.9968;3.41;0.53;9.5;6 +10.3;0.53;0.48;2.5;0.063;6;25;0.9998;3.12;0.59;9.3;6 +7.9;0.53;0.24;2;0.072;15;105;0.996;3.27;0.54;9.4;6 +9;0.46;0.31;2.8;0.093;19;98;0.99815;3.32;0.63;9.5;6 +8.6;0.47;0.3;3;0.076;30;135;0.9976;3.3;0.53;9.4;5 +7.4;0.36;0.29;2.6;0.087;26;72;0.99645;3.39;0.68;11;5 +7.1;0.35;0.29;2.5;0.096;20;53;0.9962;3.42;0.65;11;6 +9.6;0.56;0.23;3.4;0.102;37;92;0.9996;3.3;0.65;10.1;5 +9.6;0.77;0.12;2.9;0.082;30;74;0.99865;3.3;0.64;10.4;6 +9.8;0.66;0.39;3.2;0.083;21;59;0.9989;3.37;0.71;11.5;7 +9.6;0.77;0.12;2.9;0.082;30;74;0.99865;3.3;0.64;10.4;6 +9.8;0.66;0.39;3.2;0.083;21;59;0.9989;3.37;0.71;11.5;7 +9.3;0.61;0.26;3.4;0.09;25;87;0.99975;3.24;0.62;9.7;5 +7.8;0.62;0.05;2.3;0.079;6;18;0.99735;3.29;0.63;9.3;5 +10.3;0.59;0.42;2.8;0.09;35;73;0.999;3.28;0.7;9.5;6 +10;0.49;0.2;11;0.071;13;50;1.0015;3.16;0.69;9.2;6 +10;0.49;0.2;11;0.071;13;50;1.0015;3.16;0.69;9.2;6 +11.6;0.53;0.66;3.65;0.121;6;14;0.9978;3.05;0.74;11.5;7 +10.3;0.44;0.5;4.5;0.107;5;13;0.998;3.28;0.83;11.5;5 +13.4;0.27;0.62;2.6;0.082;6;21;1.0002;3.16;0.67;9.7;6 +10.7;0.46;0.39;2;0.061;7;15;0.9981;3.18;0.62;9.5;5 +10.2;0.36;0.64;2.9;0.122;10;41;0.998;3.23;0.66;12.5;6 +10.2;0.36;0.64;2.9;0.122;10;41;0.998;3.23;0.66;12.5;6 +8;0.58;0.28;3.2;0.066;21;114;0.9973;3.22;0.54;9.4;6 +8.4;0.56;0.08;2.1;0.105;16;44;0.9958;3.13;0.52;11;5 +7.9;0.65;0.01;2.5;0.078;17;38;0.9963;3.34;0.74;11.7;7 +11.9;0.695;0.53;3.4;0.128;7;21;0.9992;3.17;0.84;12.2;7 +8.9;0.43;0.45;1.9;0.052;6;16;0.9948;3.35;0.7;12.5;6 +7.8;0.43;0.32;2.8;0.08;29;58;0.9974;3.31;0.64;10.3;5 +12.4;0.49;0.58;3;0.103;28;99;1.0008;3.16;1;11.5;6 +12.5;0.28;0.54;2.3;0.082;12;29;0.9997;3.11;1.36;9.8;7 +12.2;0.34;0.5;2.4;0.066;10;21;1;3.12;1.18;9.2;6 +10.6;0.42;0.48;2.7;0.065;5;18;0.9972;3.21;0.87;11.3;6 +10.9;0.39;0.47;1.8;0.118;6;14;0.9982;3.3;0.75;9.8;6 +10.9;0.39;0.47;1.8;0.118;6;14;0.9982;3.3;0.75;9.8;6 +11.9;0.57;0.5;2.6;0.082;6;32;1.0006;3.12;0.78;10.7;6 +7;0.685;0;1.9;0.067;40;63;0.9979;3.6;0.81;9.9;5 +6.6;0.815;0.02;2.7;0.072;17;34;0.9955;3.58;0.89;12.3;7 +13.8;0.49;0.67;3;0.093;6;15;0.9986;3.02;0.93;12;6 +9.6;0.56;0.31;2.8;0.089;15;46;0.9979;3.11;0.92;10;6 +9.1;0.785;0;2.6;0.093;11;28;0.9994;3.36;0.86;9.4;6 +10.7;0.67;0.22;2.7;0.107;17;34;1.0004;3.28;0.98;9.9;6 +9.1;0.795;0;2.6;0.096;11;26;0.9994;3.35;0.83;9.4;6 +7.7;0.665;0;2.4;0.09;8;19;0.9974;3.27;0.73;9.3;5 +13.5;0.53;0.79;4.8;0.12;23;77;1.0018;3.18;0.77;13;5 +6.1;0.21;0.4;1.4;0.066;40.5;165;0.9912;3.25;0.59;11.9;6 +6.7;0.75;0.01;2.4;0.078;17;32;0.9955;3.55;0.61;12.8;6 +11.5;0.41;0.52;3;0.08;29;55;1.0001;3.26;0.88;11;5 +10.5;0.42;0.66;2.95;0.116;12;29;0.997;3.24;0.75;11.7;7 +11.9;0.43;0.66;3.1;0.109;10;23;1;3.15;0.85;10.4;7 +12.6;0.38;0.66;2.6;0.088;10;41;1.001;3.17;0.68;9.8;6 +8.2;0.7;0.23;2;0.099;14;81;0.9973;3.19;0.7;9.4;5 +8.6;0.45;0.31;2.6;0.086;21;50;0.9982;3.37;0.91;9.9;6 +11.9;0.58;0.66;2.5;0.072;6;37;0.9992;3.05;0.56;10;5 +12.5;0.46;0.63;2;0.071;6;15;0.9988;2.99;0.87;10.2;5 +12.8;0.615;0.66;5.8;0.083;7;42;1.0022;3.07;0.73;10;7 +10;0.42;0.5;3.4;0.107;7;21;0.9979;3.26;0.93;11.8;6 +12.8;0.615;0.66;5.8;0.083;7;42;1.0022;3.07;0.73;10;7 +10.4;0.575;0.61;2.6;0.076;11;24;1;3.16;0.69;9;5 +10.3;0.34;0.52;2.8;0.159;15;75;0.9998;3.18;0.64;9.4;5 +9.4;0.27;0.53;2.4;0.074;6;18;0.9962;3.2;1.13;12;7 +6.9;0.765;0.02;2.3;0.063;35;63;0.9975;3.57;0.78;9.9;5 +7.9;0.24;0.4;1.6;0.056;11;25;0.9967;3.32;0.87;8.7;6 +9.1;0.28;0.48;1.8;0.067;26;46;0.9967;3.32;1.04;10.6;6 +7.4;0.55;0.22;2.2;0.106;12;72;0.9959;3.05;0.63;9.2;5 +14;0.41;0.63;3.8;0.089;6;47;1.0014;3.01;0.81;10.8;6 +11.5;0.54;0.71;4.4;0.124;6;15;0.9984;3.01;0.83;11.8;7 +11.5;0.45;0.5;3;0.078;19;47;1.0003;3.26;1.11;11;6 +9.4;0.27;0.53;2.4;0.074;6;18;0.9962;3.2;1.13;12;7 +11.4;0.625;0.66;6.2;0.088;6;24;0.9988;3.11;0.99;13.3;6 +8.3;0.42;0.38;2.5;0.094;24;60;0.9979;3.31;0.7;10.8;6 +8.3;0.26;0.42;2;0.08;11;27;0.9974;3.21;0.8;9.4;6 +13.7;0.415;0.68;2.9;0.085;17;43;1.0014;3.06;0.8;10;6 +8.3;0.26;0.42;2;0.08;11;27;0.9974;3.21;0.8;9.4;6 +8.3;0.26;0.42;2;0.08;11;27;0.9974;3.21;0.8;9.4;6 +7.7;0.51;0.28;2.1;0.087;23;54;0.998;3.42;0.74;9.2;5 +7.4;0.63;0.07;2.4;0.09;11;37;0.9979;3.43;0.76;9.7;6 +7.8;0.54;0.26;2;0.088;23;48;0.9981;3.41;0.74;9.2;6 +8.3;0.66;0.15;1.9;0.079;17;42;0.9972;3.31;0.54;9.6;6 +7.8;0.46;0.26;1.9;0.088;23;53;0.9981;3.43;0.74;9.2;6 +9.6;0.38;0.31;2.5;0.096;16;49;0.9982;3.19;0.7;10;7 +5.6;0.85;0.05;1.4;0.045;12;88;0.9924;3.56;0.82;12.9;8 +13.7;0.415;0.68;2.9;0.085;17;43;1.0014;3.06;0.8;10;6 +9.5;0.37;0.52;2;0.082;6;26;0.998;3.18;0.51;9.5;5 +8.4;0.665;0.61;2;0.112;13;95;0.997;3.16;0.54;9.1;5 +12.7;0.6;0.65;2.3;0.063;6;25;0.9997;3.03;0.57;9.9;5 +12;0.37;0.76;4.2;0.066;7;38;1.0004;3.22;0.6;13;7 +6.6;0.735;0.02;7.9;0.122;68;124;0.9994;3.47;0.53;9.9;5 +11.5;0.59;0.59;2.6;0.087;13;49;0.9988;3.18;0.65;11;6 +11.5;0.59;0.59;2.6;0.087;13;49;0.9988;3.18;0.65;11;6 +8.7;0.765;0.22;2.3;0.064;9;42;0.9963;3.1;0.55;9.4;5 +6.6;0.735;0.02;7.9;0.122;68;124;0.9994;3.47;0.53;9.9;5 +7.7;0.26;0.3;1.7;0.059;20;38;0.9949;3.29;0.47;10.8;6 +12.2;0.48;0.54;2.6;0.085;19;64;1;3.1;0.61;10.5;6 +11.4;0.6;0.49;2.7;0.085;10;41;0.9994;3.15;0.63;10.5;6 +7.7;0.69;0.05;2.7;0.075;15;27;0.9974;3.26;0.61;9.1;5 +8.7;0.31;0.46;1.4;0.059;11;25;0.9966;3.36;0.76;10.1;6 +9.8;0.44;0.47;2.5;0.063;9;28;0.9981;3.24;0.65;10.8;6 +12;0.39;0.66;3;0.093;12;30;0.9996;3.18;0.63;10.8;7 +10.4;0.34;0.58;3.7;0.174;6;16;0.997;3.19;0.7;11.3;6 +12.5;0.46;0.49;4.5;0.07;26;49;0.9981;3.05;0.57;9.6;4 +9;0.43;0.34;2.5;0.08;26;86;0.9987;3.38;0.62;9.5;6 +9.1;0.45;0.35;2.4;0.08;23;78;0.9987;3.38;0.62;9.5;5 +7.1;0.735;0.16;1.9;0.1;15;77;0.9966;3.27;0.64;9.3;5 +9.9;0.4;0.53;6.7;0.097;6;19;0.9986;3.27;0.82;11.7;7 +8.8;0.52;0.34;2.7;0.087;24;122;0.9982;3.26;0.61;9.5;5 +8.6;0.725;0.24;6.6;0.117;31;134;1.0014;3.32;1.07;9.3;5 +10.6;0.48;0.64;2.2;0.111;6;20;0.997;3.26;0.66;11.7;6 +7;0.58;0.12;1.9;0.091;34;124;0.9956;3.44;0.48;10.5;5 +11.9;0.38;0.51;2;0.121;7;20;0.9996;3.24;0.76;10.4;6 +6.8;0.77;0;1.8;0.066;34;52;0.9976;3.62;0.68;9.9;5 +9.5;0.56;0.33;2.4;0.089;35;67;0.9972;3.28;0.73;11.8;7 +6.6;0.84;0.03;2.3;0.059;32;48;0.9952;3.52;0.56;12.3;7 +7.7;0.96;0.2;2;0.047;15;60;0.9955;3.36;0.44;10.9;5 +10.5;0.24;0.47;2.1;0.066;6;24;0.9978;3.15;0.9;11;7 +7.7;0.96;0.2;2;0.047;15;60;0.9955;3.36;0.44;10.9;5 +6.6;0.84;0.03;2.3;0.059;32;48;0.9952;3.52;0.56;12.3;7 +6.4;0.67;0.08;2.1;0.045;19;48;0.9949;3.49;0.49;11.4;6 +9.5;0.78;0.22;1.9;0.077;6;32;0.9988;3.26;0.56;10.6;6 +9.1;0.52;0.33;1.3;0.07;9;30;0.9978;3.24;0.6;9.3;5 +12.8;0.84;0.63;2.4;0.088;13;35;0.9997;3.1;0.6;10.4;6 +10.5;0.24;0.47;2.1;0.066;6;24;0.9978;3.15;0.9;11;7 +7.8;0.55;0.35;2.2;0.074;21;66;0.9974;3.25;0.56;9.2;5 +11.9;0.37;0.69;2.3;0.078;12;24;0.9958;3;0.65;12.8;6 +12.3;0.39;0.63;2.3;0.091;6;18;1.0004;3.16;0.49;9.5;5 +10.4;0.41;0.55;3.2;0.076;22;54;0.9996;3.15;0.89;9.9;6 +12.3;0.39;0.63;2.3;0.091;6;18;1.0004;3.16;0.49;9.5;5 +8;0.67;0.3;2;0.06;38;62;0.9958;3.26;0.56;10.2;6 +11.1;0.45;0.73;3.2;0.066;6;22;0.9986;3.17;0.66;11.2;6 +10.4;0.41;0.55;3.2;0.076;22;54;0.9996;3.15;0.89;9.9;6 +7;0.62;0.18;1.5;0.062;7;50;0.9951;3.08;0.6;9.3;5 +12.6;0.31;0.72;2.2;0.072;6;29;0.9987;2.88;0.82;9.8;8 +11.9;0.4;0.65;2.15;0.068;7;27;0.9988;3.06;0.68;11.3;6 +15.6;0.685;0.76;3.7;0.1;6;43;1.0032;2.95;0.68;11.2;7 +10;0.44;0.49;2.7;0.077;11;19;0.9963;3.23;0.63;11.6;7 +5.3;0.57;0.01;1.7;0.054;5;27;0.9934;3.57;0.84;12.5;7 +9.5;0.735;0.1;2.1;0.079;6;31;0.9986;3.23;0.56;10.1;6 +12.5;0.38;0.6;2.6;0.081;31;72;0.9996;3.1;0.73;10.5;5 +9.3;0.48;0.29;2.1;0.127;6;16;0.9968;3.22;0.72;11.2;5 +8.6;0.53;0.22;2;0.1;7;27;0.9967;3.2;0.56;10.2;6 +11.9;0.39;0.69;2.8;0.095;17;35;0.9994;3.1;0.61;10.8;6 +11.9;0.39;0.69;2.8;0.095;17;35;0.9994;3.1;0.61;10.8;6 +8.4;0.37;0.53;1.8;0.413;9;26;0.9979;3.06;1.06;9.1;6 +6.8;0.56;0.03;1.7;0.084;18;35;0.9968;3.44;0.63;10;6 +10.4;0.33;0.63;2.8;0.084;5;22;0.9998;3.26;0.74;11.2;7 +7;0.23;0.4;1.6;0.063;21;67;0.9952;3.5;0.63;11.1;5 +11.3;0.62;0.67;5.2;0.086;6;19;0.9988;3.22;0.69;13.4;8 +8.9;0.59;0.39;2.3;0.095;5;22;0.9986;3.37;0.58;10.3;5 +9.2;0.63;0.21;2.7;0.097;29;65;0.9988;3.28;0.58;9.6;5 +10.4;0.33;0.63;2.8;0.084;5;22;0.9998;3.26;0.74;11.2;7 +11.6;0.58;0.66;2.2;0.074;10;47;1.0008;3.25;0.57;9;3 +9.2;0.43;0.52;2.3;0.083;14;23;0.9976;3.35;0.61;11.3;6 +8.3;0.615;0.22;2.6;0.087;6;19;0.9982;3.26;0.61;9.3;5 +11;0.26;0.68;2.55;0.085;10;25;0.997;3.18;0.61;11.8;5 +8.1;0.66;0.7;2.2;0.098;25;129;0.9972;3.08;0.53;9;5 +11.5;0.315;0.54;2.1;0.084;5;15;0.9987;2.98;0.7;9.2;6 +10;0.29;0.4;2.9;0.098;10;26;1.0006;3.48;0.91;9.7;5 +10.3;0.5;0.42;2;0.069;21;51;0.9982;3.16;0.72;11.5;6 +8.8;0.46;0.45;2.6;0.065;7;18;0.9947;3.32;0.79;14;6 +11.4;0.36;0.69;2.1;0.09;6;21;1;3.17;0.62;9.2;6 +8.7;0.82;0.02;1.2;0.07;36;48;0.9952;3.2;0.58;9.8;5 +13;0.32;0.65;2.6;0.093;15;47;0.9996;3.05;0.61;10.6;5 +9.6;0.54;0.42;2.4;0.081;25;52;0.997;3.2;0.71;11.4;6 +12.5;0.37;0.55;2.6;0.083;25;68;0.9995;3.15;0.82;10.4;6 +9.9;0.35;0.55;2.1;0.062;5;14;0.9971;3.26;0.79;10.6;5 +10.5;0.28;0.51;1.7;0.08;10;24;0.9982;3.2;0.89;9.4;6 +9.6;0.68;0.24;2.2;0.087;5;28;0.9988;3.14;0.6;10.2;5 +9.3;0.27;0.41;2;0.091;6;16;0.998;3.28;0.7;9.7;5 +10.4;0.24;0.49;1.8;0.075;6;20;0.9977;3.18;1.06;11;6 +9.6;0.68;0.24;2.2;0.087;5;28;0.9988;3.14;0.6;10.2;5 +9.4;0.685;0.11;2.7;0.077;6;31;0.9984;3.19;0.7;10.1;6 +10.6;0.28;0.39;15.5;0.069;6;23;1.0026;3.12;0.66;9.2;5 +9.4;0.3;0.56;2.8;0.08;6;17;0.9964;3.15;0.92;11.7;8 +10.6;0.36;0.59;2.2;0.152;6;18;0.9986;3.04;1.05;9.4;5 +10.6;0.36;0.6;2.2;0.152;7;18;0.9986;3.04;1.06;9.4;5 +10.6;0.44;0.68;4.1;0.114;6;24;0.997;3.06;0.66;13.4;6 +10.2;0.67;0.39;1.9;0.054;6;17;0.9976;3.17;0.47;10;5 +10.2;0.67;0.39;1.9;0.054;6;17;0.9976;3.17;0.47;10;5 +10.2;0.645;0.36;1.8;0.053;5;14;0.9982;3.17;0.42;10;6 +11.6;0.32;0.55;2.8;0.081;35;67;1.0002;3.32;0.92;10.8;7 +9.3;0.39;0.4;2.6;0.073;10;26;0.9984;3.34;0.75;10.2;6 +9.3;0.775;0.27;2.8;0.078;24;56;0.9984;3.31;0.67;10.6;6 +9.2;0.41;0.5;2.5;0.055;12;25;0.9952;3.34;0.79;13.3;7 +8.9;0.4;0.51;2.6;0.052;13;27;0.995;3.32;0.9;13.4;7 +8.7;0.69;0.31;3;0.086;23;81;1.0002;3.48;0.74;11.6;6 +6.5;0.39;0.23;8.3;0.051;28;91;0.9952;3.44;0.55;12.1;6 +10.7;0.35;0.53;2.6;0.07;5;16;0.9972;3.15;0.65;11;8 +7.8;0.52;0.25;1.9;0.081;14;38;0.9984;3.43;0.65;9;6 +7.2;0.34;0.32;2.5;0.09;43;113;0.9966;3.32;0.79;11.1;5 +10.7;0.35;0.53;2.6;0.07;5;16;0.9972;3.15;0.65;11;8 +8.7;0.69;0.31;3;0.086;23;81;1.0002;3.48;0.74;11.6;6 +7.8;0.52;0.25;1.9;0.081;14;38;0.9984;3.43;0.65;9;6 +10.4;0.44;0.73;6.55;0.074;38;76;0.999;3.17;0.85;12;7 +10.4;0.44;0.73;6.55;0.074;38;76;0.999;3.17;0.85;12;7 +10.5;0.26;0.47;1.9;0.078;6;24;0.9976;3.18;1.04;10.9;7 +10.5;0.24;0.42;1.8;0.077;6;22;0.9976;3.21;1.05;10.8;7 +10.2;0.49;0.63;2.9;0.072;10;26;0.9968;3.16;0.78;12.5;7 +10.4;0.24;0.46;1.8;0.075;6;21;0.9976;3.25;1.02;10.8;7 +11.2;0.67;0.55;2.3;0.084;6;13;1;3.17;0.71;9.5;6 +10;0.59;0.31;2.2;0.09;26;62;0.9994;3.18;0.63;10.2;6 +13.3;0.29;0.75;2.8;0.084;23;43;0.9986;3.04;0.68;11.4;7 +12.4;0.42;0.49;4.6;0.073;19;43;0.9978;3.02;0.61;9.5;5 +10;0.59;0.31;2.2;0.09;26;62;0.9994;3.18;0.63;10.2;6 +10.7;0.4;0.48;2.1;0.125;15;49;0.998;3.03;0.81;9.7;6 +10.5;0.51;0.64;2.4;0.107;6;15;0.9973;3.09;0.66;11.8;7 +10.5;0.51;0.64;2.4;0.107;6;15;0.9973;3.09;0.66;11.8;7 +8.5;0.655;0.49;6.1;0.122;34;151;1.001;3.31;1.14;9.3;5 +12.5;0.6;0.49;4.3;0.1;5;14;1.001;3.25;0.74;11.9;6 +10.4;0.61;0.49;2.1;0.2;5;16;0.9994;3.16;0.63;8.4;3 +10.9;0.21;0.49;2.8;0.088;11;32;0.9972;3.22;0.68;11.7;6 +7.3;0.365;0.49;2.5;0.088;39;106;0.9966;3.36;0.78;11;5 +9.8;0.25;0.49;2.7;0.088;15;33;0.9982;3.42;0.9;10;6 +7.6;0.41;0.49;2;0.088;16;43;0.998;3.48;0.64;9.1;5 +8.2;0.39;0.49;2.3;0.099;47;133;0.9979;3.38;0.99;9.8;5 +9.3;0.4;0.49;2.5;0.085;38;142;0.9978;3.22;0.55;9.4;5 +9.2;0.43;0.49;2.4;0.086;23;116;0.9976;3.23;0.64;9.5;5 +10.4;0.64;0.24;2.8;0.105;29;53;0.9998;3.24;0.67;9.9;5 +7.3;0.365;0.49;2.5;0.088;39;106;0.9966;3.36;0.78;11;5 +7;0.38;0.49;2.5;0.097;33;85;0.9962;3.39;0.77;11.4;6 +8.2;0.42;0.49;2.6;0.084;32;55;0.9988;3.34;0.75;8.7;6 +9.9;0.63;0.24;2.4;0.077;6;33;0.9974;3.09;0.57;9.4;5 +9.1;0.22;0.24;2.1;0.078;1;28;0.999;3.41;0.87;10.3;6 +11.9;0.38;0.49;2.7;0.098;12;42;1.0004;3.16;0.61;10.3;5 +11.9;0.38;0.49;2.7;0.098;12;42;1.0004;3.16;0.61;10.3;5 +10.3;0.27;0.24;2.1;0.072;15;33;0.9956;3.22;0.66;12.8;6 +10;0.48;0.24;2.7;0.102;13;32;1;3.28;0.56;10;6 +9.1;0.22;0.24;2.1;0.078;1;28;0.999;3.41;0.87;10.3;6 +9.9;0.63;0.24;2.4;0.077;6;33;0.9974;3.09;0.57;9.4;5 +8.1;0.825;0.24;2.1;0.084;5;13;0.9972;3.37;0.77;10.7;6 +12.9;0.35;0.49;5.8;0.066;5;35;1.0014;3.2;0.66;12;7 +11.2;0.5;0.74;5.15;0.1;5;17;0.9996;3.22;0.62;11.2;5 +9.2;0.59;0.24;3.3;0.101;20;47;0.9988;3.26;0.67;9.6;5 +9.5;0.46;0.49;6.3;0.064;5;17;0.9988;3.21;0.73;11;6 +9.3;0.715;0.24;2.1;0.07;5;20;0.9966;3.12;0.59;9.9;5 +11.2;0.66;0.24;2.5;0.085;16;53;0.9993;3.06;0.72;11;6 +14.3;0.31;0.74;1.8;0.075;6;15;1.0008;2.86;0.79;8.4;6 +9.1;0.47;0.49;2.6;0.094;38;106;0.9982;3.08;0.59;9.1;5 +7.5;0.55;0.24;2;0.078;10;28;0.9983;3.45;0.78;9.5;6 +10.6;0.31;0.49;2.5;0.067;6;21;0.9987;3.26;0.86;10.7;6 +12.4;0.35;0.49;2.6;0.079;27;69;0.9994;3.12;0.75;10.4;6 +9;0.53;0.49;1.9;0.171;6;25;0.9975;3.27;0.61;9.4;6 +6.8;0.51;0.01;2.1;0.074;9;25;0.9958;3.33;0.56;9.5;6 +9.4;0.43;0.24;2.8;0.092;14;45;0.998;3.19;0.73;10;6 +9.5;0.46;0.24;2.7;0.092;14;44;0.998;3.12;0.74;10;6 +5;1.04;0.24;1.6;0.05;32;96;0.9934;3.74;0.62;11.5;5 +15.5;0.645;0.49;4.2;0.095;10;23;1.00315;2.92;0.74;11.1;5 +15.5;0.645;0.49;4.2;0.095;10;23;1.00315;2.92;0.74;11.1;5 +10.9;0.53;0.49;4.6;0.118;10;17;1.0002;3.07;0.56;11.7;6 +15.6;0.645;0.49;4.2;0.095;10;23;1.00315;2.92;0.74;11.1;5 +10.9;0.53;0.49;4.6;0.118;10;17;1.0002;3.07;0.56;11.7;6 +13;0.47;0.49;4.3;0.085;6;47;1.0021;3.3;0.68;12.7;6 +12.7;0.6;0.49;2.8;0.075;5;19;0.9994;3.14;0.57;11.4;5 +9;0.44;0.49;2.4;0.078;26;121;0.9978;3.23;0.58;9.2;5 +9;0.54;0.49;2.9;0.094;41;110;0.9982;3.08;0.61;9.2;5 +7.6;0.29;0.49;2.7;0.092;25;60;0.9971;3.31;0.61;10.1;6 +13;0.47;0.49;4.3;0.085;6;47;1.0021;3.3;0.68;12.7;6 +12.7;0.6;0.49;2.8;0.075;5;19;0.9994;3.14;0.57;11.4;5 +8.7;0.7;0.24;2.5;0.226;5;15;0.9991;3.32;0.6;9;6 +8.7;0.7;0.24;2.5;0.226;5;15;0.9991;3.32;0.6;9;6 +9.8;0.5;0.49;2.6;0.25;5;20;0.999;3.31;0.79;10.7;6 +6.2;0.36;0.24;2.2;0.095;19;42;0.9946;3.57;0.57;11.7;6 +11.5;0.35;0.49;3.3;0.07;10;37;1.0003;3.32;0.91;11;6 +6.2;0.36;0.24;2.2;0.095;19;42;0.9946;3.57;0.57;11.7;6 +10.2;0.24;0.49;2.4;0.075;10;28;0.9978;3.14;0.61;10.4;5 +10.5;0.59;0.49;2.1;0.07;14;47;0.9991;3.3;0.56;9.6;4 +10.6;0.34;0.49;3.2;0.078;20;78;0.9992;3.19;0.7;10;6 +12.3;0.27;0.49;3.1;0.079;28;46;0.9993;3.2;0.8;10.2;6 +9.9;0.5;0.24;2.3;0.103;6;14;0.9978;3.34;0.52;10;4 +8.8;0.44;0.49;2.8;0.083;18;111;0.9982;3.3;0.6;9.5;5 +8.8;0.47;0.49;2.9;0.085;17;110;0.9982;3.29;0.6;9.8;5 +10.6;0.31;0.49;2.2;0.063;18;40;0.9976;3.14;0.51;9.8;6 +12.3;0.5;0.49;2.2;0.089;5;14;1.0002;3.19;0.44;9.6;5 +12.3;0.5;0.49;2.2;0.089;5;14;1.0002;3.19;0.44;9.6;5 +11.7;0.49;0.49;2.2;0.083;5;15;1;3.19;0.43;9.2;5 +12;0.28;0.49;1.9;0.074;10;21;0.9976;2.98;0.66;9.9;7 +11.8;0.33;0.49;3.4;0.093;54;80;1.0002;3.3;0.76;10.7;7 +7.6;0.51;0.24;2.4;0.091;8;38;0.998;3.47;0.66;9.6;6 +11.1;0.31;0.49;2.7;0.094;16;47;0.9986;3.12;1.02;10.6;7 +7.3;0.73;0.24;1.9;0.108;18;102;0.9967;3.26;0.59;9.3;5 +5;0.42;0.24;2;0.06;19;50;0.9917;3.72;0.74;14;8 +10.2;0.29;0.49;2.6;0.059;5;13;0.9976;3.05;0.74;10.5;7 +9;0.45;0.49;2.6;0.084;21;75;0.9987;3.35;0.57;9.7;5 +6.6;0.39;0.49;1.7;0.07;23;149;0.9922;3.12;0.5;11.5;6 +9;0.45;0.49;2.6;0.084;21;75;0.9987;3.35;0.57;9.7;5 +9.9;0.49;0.58;3.5;0.094;9;43;1.0004;3.29;0.58;9;5 +7.9;0.72;0.17;2.6;0.096;20;38;0.9978;3.4;0.53;9.5;5 +8.9;0.595;0.41;7.9;0.086;30;109;0.9998;3.27;0.57;9.3;5 +12.4;0.4;0.51;2;0.059;6;24;0.9994;3.04;0.6;9.3;6 +11.9;0.58;0.58;1.9;0.071;5;18;0.998;3.09;0.63;10;6 +8.5;0.585;0.18;2.1;0.078;5;30;0.9967;3.2;0.48;9.8;6 +12.7;0.59;0.45;2.3;0.082;11;22;1;3;0.7;9.3;6 +8.2;0.915;0.27;2.1;0.088;7;23;0.9962;3.26;0.47;10;4 +13.2;0.46;0.52;2.2;0.071;12;35;1.0006;3.1;0.56;9;6 +7.7;0.835;0;2.6;0.081;6;14;0.9975;3.3;0.52;9.3;5 +13.2;0.46;0.52;2.2;0.071;12;35;1.0006;3.1;0.56;9;6 +8.3;0.58;0.13;2.9;0.096;14;63;0.9984;3.17;0.62;9.1;6 +8.3;0.6;0.13;2.6;0.085;6;24;0.9984;3.31;0.59;9.2;6 +9.4;0.41;0.48;4.6;0.072;10;20;0.9973;3.34;0.79;12.2;7 +8.8;0.48;0.41;3.3;0.092;26;52;0.9982;3.31;0.53;10.5;6 +10.1;0.65;0.37;5.1;0.11;11;65;1.0026;3.32;0.64;10.4;6 +6.3;0.36;0.19;3.2;0.075;15;39;0.9956;3.56;0.52;12.7;6 +8.8;0.24;0.54;2.5;0.083;25;57;0.9983;3.39;0.54;9.2;5 +13.2;0.38;0.55;2.7;0.081;5;16;1.0006;2.98;0.54;9.4;5 +7.5;0.64;0;2.4;0.077;18;29;0.9965;3.32;0.6;10;6 +8.2;0.39;0.38;1.5;0.058;10;29;0.9962;3.26;0.74;9.8;5 +9.2;0.755;0.18;2.2;0.148;10;103;0.9969;2.87;1.36;10.2;6 +9.6;0.6;0.5;2.3;0.079;28;71;0.9997;3.5;0.57;9.7;5 +9.6;0.6;0.5;2.3;0.079;28;71;0.9997;3.5;0.57;9.7;5 +11.5;0.31;0.51;2.2;0.079;14;28;0.9982;3.03;0.93;9.8;6 +11.4;0.46;0.5;2.7;0.122;4;17;1.0006;3.13;0.7;10.2;5 +11.3;0.37;0.41;2.3;0.088;6;16;0.9988;3.09;0.8;9.3;5 +8.3;0.54;0.24;3.4;0.076;16;112;0.9976;3.27;0.61;9.4;5 +8.2;0.56;0.23;3.4;0.078;14;104;0.9976;3.28;0.62;9.4;5 +10;0.58;0.22;1.9;0.08;9;32;0.9974;3.13;0.55;9.5;5 +7.9;0.51;0.25;2.9;0.077;21;45;0.9974;3.49;0.96;12.1;6 +6.8;0.69;0;5.6;0.124;21;58;0.9997;3.46;0.72;10.2;5 +6.8;0.69;0;5.6;0.124;21;58;0.9997;3.46;0.72;10.2;5 +8.8;0.6;0.29;2.2;0.098;5;15;0.9988;3.36;0.49;9.1;5 +8.8;0.6;0.29;2.2;0.098;5;15;0.9988;3.36;0.49;9.1;5 +8.7;0.54;0.26;2.5;0.097;7;31;0.9976;3.27;0.6;9.3;6 +7.6;0.685;0.23;2.3;0.111;20;84;0.9964;3.21;0.61;9.3;5 +8.7;0.54;0.26;2.5;0.097;7;31;0.9976;3.27;0.6;9.3;6 +10.4;0.28;0.54;2.7;0.105;5;19;0.9988;3.25;0.63;9.5;5 +7.6;0.41;0.14;3;0.087;21;43;0.9964;3.32;0.57;10.5;6 +10.1;0.935;0.22;3.4;0.105;11;86;1.001;3.43;0.64;11.3;4 +7.9;0.35;0.21;1.9;0.073;46;102;0.9964;3.27;0.58;9.5;5 +8.7;0.84;0;1.4;0.065;24;33;0.9954;3.27;0.55;9.7;5 +9.6;0.88;0.28;2.4;0.086;30;147;0.9979;3.24;0.53;9.4;5 +9.5;0.885;0.27;2.3;0.084;31;145;0.9978;3.24;0.53;9.4;5 +7.7;0.915;0.12;2.2;0.143;7;23;0.9964;3.35;0.65;10.2;7 +8.9;0.29;0.35;1.9;0.067;25;57;0.997;3.18;1.36;10.3;6 +9.9;0.54;0.45;2.3;0.071;16;40;0.9991;3.39;0.62;9.4;5 +9.5;0.59;0.44;2.3;0.071;21;68;0.9992;3.46;0.63;9.5;5 +9.9;0.54;0.45;2.3;0.071;16;40;0.9991;3.39;0.62;9.4;5 +9.5;0.59;0.44;2.3;0.071;21;68;0.9992;3.46;0.63;9.5;5 +9.9;0.54;0.45;2.3;0.071;16;40;0.9991;3.39;0.62;9.4;5 +7.8;0.64;0.1;6;0.115;5;11;0.9984;3.37;0.69;10.1;7 +7.3;0.67;0.05;3.6;0.107;6;20;0.9972;3.4;0.63;10.1;5 +8.3;0.845;0.01;2.2;0.07;5;14;0.9967;3.32;0.58;11;4 +8.7;0.48;0.3;2.8;0.066;10;28;0.9964;3.33;0.67;11.2;7 +6.7;0.42;0.27;8.6;0.068;24;148;0.9948;3.16;0.57;11.3;6 +10.7;0.43;0.39;2.2;0.106;8;32;0.9986;2.89;0.5;9.6;5 +9.8;0.88;0.25;2.5;0.104;35;155;1.001;3.41;0.67;11.2;5 +15.9;0.36;0.65;7.5;0.096;22;71;0.9976;2.98;0.84;14.9;5 +9.4;0.33;0.59;2.8;0.079;9;30;0.9976;3.12;0.54;12;6 +8.6;0.47;0.47;2.4;0.074;7;29;0.9979;3.08;0.46;9.5;5 +9.7;0.55;0.17;2.9;0.087;20;53;1.0004;3.14;0.61;9.4;5 +10.7;0.43;0.39;2.2;0.106;8;32;0.9986;2.89;0.5;9.6;5 +12;0.5;0.59;1.4;0.073;23;42;0.998;2.92;0.68;10.5;7 +7.2;0.52;0.07;1.4;0.074;5;20;0.9973;3.32;0.81;9.6;6 +7.1;0.84;0.02;4.4;0.096;5;13;0.997;3.41;0.57;11;4 +7.2;0.52;0.07;1.4;0.074;5;20;0.9973;3.32;0.81;9.6;6 +7.5;0.42;0.31;1.6;0.08;15;42;0.9978;3.31;0.64;9;5 +7.2;0.57;0.06;1.6;0.076;9;27;0.9972;3.36;0.7;9.6;6 +10.1;0.28;0.46;1.8;0.05;5;13;0.9974;3.04;0.79;10.2;6 +12.1;0.4;0.52;2;0.092;15;54;1;3.03;0.66;10.2;5 +9.4;0.59;0.14;2;0.084;25;48;0.9981;3.14;0.56;9.7;5 +8.3;0.49;0.36;1.8;0.222;6;16;0.998;3.18;0.6;9.5;6 +11.3;0.34;0.45;2;0.082;6;15;0.9988;2.94;0.66;9.2;6 +10;0.73;0.43;2.3;0.059;15;31;0.9966;3.15;0.57;11;5 +11.3;0.34;0.45;2;0.082;6;15;0.9988;2.94;0.66;9.2;6 +6.9;0.4;0.24;2.5;0.083;30;45;0.9959;3.26;0.58;10;5 +8.2;0.73;0.21;1.7;0.074;5;13;0.9968;3.2;0.52;9.5;5 +9.8;1.24;0.34;2;0.079;32;151;0.998;3.15;0.53;9.5;5 +8.2;0.73;0.21;1.7;0.074;5;13;0.9968;3.2;0.52;9.5;5 +10.8;0.4;0.41;2.2;0.084;7;17;0.9984;3.08;0.67;9.3;6 +9.3;0.41;0.39;2.2;0.064;12;31;0.9984;3.26;0.65;10.2;5 +10.8;0.4;0.41;2.2;0.084;7;17;0.9984;3.08;0.67;9.3;6 +8.6;0.8;0.11;2.3;0.084;12;31;0.9979;3.4;0.48;9.9;5 +8.3;0.78;0.1;2.6;0.081;45;87;0.9983;3.48;0.53;10;5 +10.8;0.26;0.45;3.3;0.06;20;49;0.9972;3.13;0.54;9.6;5 +13.3;0.43;0.58;1.9;0.07;15;40;1.0004;3.06;0.49;9;5 +8;0.45;0.23;2.2;0.094;16;29;0.9962;3.21;0.49;10.2;6 +8.5;0.46;0.31;2.25;0.078;32;58;0.998;3.33;0.54;9.8;5 +8.1;0.78;0.23;2.6;0.059;5;15;0.997;3.37;0.56;11.3;5 +9.8;0.98;0.32;2.3;0.078;35;152;0.998;3.25;0.48;9.4;5 +8.1;0.78;0.23;2.6;0.059;5;15;0.997;3.37;0.56;11.3;5 +7.1;0.65;0.18;1.8;0.07;13;40;0.997;3.44;0.6;9.1;5 +9.1;0.64;0.23;3.1;0.095;13;38;0.9998;3.28;0.59;9.7;5 +7.7;0.66;0.04;1.6;0.039;4;9;0.9962;3.4;0.47;9.4;5 +8.1;0.38;0.48;1.8;0.157;5;17;0.9976;3.3;1.05;9.4;5 +7.4;1.185;0;4.25;0.097;5;14;0.9966;3.63;0.54;10.7;3 +9.2;0.92;0.24;2.6;0.087;12;93;0.9998;3.48;0.54;9.8;5 +8.6;0.49;0.51;2;0.422;16;62;0.9979;3.03;1.17;9;5 +9;0.48;0.32;2.8;0.084;21;122;0.9984;3.32;0.62;9.4;5 +9;0.47;0.31;2.7;0.084;24;125;0.9984;3.31;0.61;9.4;5 +5.1;0.47;0.02;1.3;0.034;18;44;0.9921;3.9;0.62;12.8;6 +7;0.65;0.02;2.1;0.066;8;25;0.9972;3.47;0.67;9.5;6 +7;0.65;0.02;2.1;0.066;8;25;0.9972;3.47;0.67;9.5;6 +9.4;0.615;0.28;3.2;0.087;18;72;1.0001;3.31;0.53;9.7;5 +11.8;0.38;0.55;2.1;0.071;5;19;0.9986;3.11;0.62;10.8;6 +10.6;1.02;0.43;2.9;0.076;26;88;0.9984;3.08;0.57;10.1;6 +7;0.65;0.02;2.1;0.066;8;25;0.9972;3.47;0.67;9.5;6 +7;0.64;0.02;2.1;0.067;9;23;0.997;3.47;0.67;9.4;6 +7.5;0.38;0.48;2.6;0.073;22;84;0.9972;3.32;0.7;9.6;4 +9.1;0.765;0.04;1.6;0.078;4;14;0.998;3.29;0.54;9.7;4 +8.4;1.035;0.15;6;0.073;11;54;0.999;3.37;0.49;9.9;5 +7;0.78;0.08;2;0.093;10;19;0.9956;3.4;0.47;10;5 +7.4;0.49;0.19;3;0.077;16;37;0.9966;3.37;0.51;10.5;5 +7.8;0.545;0.12;2.5;0.068;11;35;0.996;3.34;0.61;11.6;6 +9.7;0.31;0.47;1.6;0.062;13;33;0.9983;3.27;0.66;10;6 +10.6;1.025;0.43;2.8;0.08;21;84;0.9985;3.06;0.57;10.1;5 +8.9;0.565;0.34;3;0.093;16;112;0.9998;3.38;0.61;9.5;5 +8.7;0.69;0;3.2;0.084;13;33;0.9992;3.36;0.45;9.4;5 +8;0.43;0.36;2.3;0.075;10;48;0.9976;3.34;0.46;9.4;5 +9.9;0.74;0.28;2.6;0.078;21;77;0.998;3.28;0.51;9.8;5 +7.2;0.49;0.18;2.7;0.069;13;34;0.9967;3.29;0.48;9.2;6 +8;0.43;0.36;2.3;0.075;10;48;0.9976;3.34;0.46;9.4;5 +7.6;0.46;0.11;2.6;0.079;12;49;0.9968;3.21;0.57;10;5 +8.4;0.56;0.04;2;0.082;10;22;0.9976;3.22;0.44;9.6;5 +7.1;0.66;0;3.9;0.086;17;45;0.9976;3.46;0.54;9.5;5 +8.4;0.56;0.04;2;0.082;10;22;0.9976;3.22;0.44;9.6;5 +8.9;0.48;0.24;2.85;0.094;35;106;0.9982;3.1;0.53;9.2;5 +7.6;0.42;0.08;2.7;0.084;15;48;0.9968;3.21;0.59;10;5 +7.1;0.31;0.3;2.2;0.053;36;127;0.9965;2.94;1.62;9.5;5 +7.5;1.115;0.1;3.1;0.086;5;12;0.9958;3.54;0.6;11.2;4 +9;0.66;0.17;3;0.077;5;13;0.9976;3.29;0.55;10.4;5 +8.1;0.72;0.09;2.8;0.084;18;49;0.9994;3.43;0.72;11.1;6 +6.4;0.57;0.02;1.8;0.067;4;11;0.997;3.46;0.68;9.5;5 +6.4;0.57;0.02;1.8;0.067;4;11;0.997;3.46;0.68;9.5;5 +6.4;0.865;0.03;3.2;0.071;27;58;0.995;3.61;0.49;12.7;6 +9.5;0.55;0.66;2.3;0.387;12;37;0.9982;3.17;0.67;9.6;5 +8.9;0.875;0.13;3.45;0.088;4;14;0.9994;3.44;0.52;11.5;5 +7.3;0.835;0.03;2.1;0.092;10;19;0.9966;3.39;0.47;9.6;5 +7;0.45;0.34;2.7;0.082;16;72;0.998;3.55;0.6;9.5;5 +7.7;0.56;0.2;2;0.075;9;39;0.9987;3.48;0.62;9.3;5 +7.7;0.965;0.1;2.1;0.112;11;22;0.9963;3.26;0.5;9.5;5 +7.7;0.965;0.1;2.1;0.112;11;22;0.9963;3.26;0.5;9.5;5 +8.2;0.59;0;2.5;0.093;19;58;1.0002;3.5;0.65;9.3;6 +9;0.46;0.23;2.8;0.092;28;104;0.9983;3.1;0.56;9.2;5 +9;0.69;0;2.4;0.088;19;38;0.999;3.35;0.6;9.3;5 +8.3;0.76;0.29;4.2;0.075;12;16;0.9965;3.45;0.68;11.5;6 +9.2;0.53;0.24;2.6;0.078;28;139;0.99788;3.21;0.57;9.5;5 +6.5;0.615;0;1.9;0.065;9;18;0.9972;3.46;0.65;9.2;5 +11.6;0.41;0.58;2.8;0.096;25;101;1.00024;3.13;0.53;10;5 +11.1;0.39;0.54;2.7;0.095;21;101;1.0001;3.13;0.51;9.5;5 +7.3;0.51;0.18;2.1;0.07;12;28;0.99768;3.52;0.73;9.5;6 +8.2;0.34;0.38;2.5;0.08;12;57;0.9978;3.3;0.47;9;6 +8.6;0.33;0.4;2.6;0.083;16;68;0.99782;3.3;0.48;9.4;5 +7.2;0.5;0.18;2.1;0.071;12;31;0.99761;3.52;0.72;9.6;6 +7.3;0.51;0.18;2.1;0.07;12;28;0.99768;3.52;0.73;9.5;6 +8.3;0.65;0.1;2.9;0.089;17;40;0.99803;3.29;0.55;9.5;5 +8.3;0.65;0.1;2.9;0.089;17;40;0.99803;3.29;0.55;9.5;5 +7.6;0.54;0.13;2.5;0.097;24;66;0.99785;3.39;0.61;9.4;5 +8.3;0.65;0.1;2.9;0.089;17;40;0.99803;3.29;0.55;9.5;5 +7.8;0.48;0.68;1.7;0.415;14;32;0.99656;3.09;1.06;9.1;6 +7.8;0.91;0.07;1.9;0.058;22;47;0.99525;3.51;0.43;10.7;6 +6.3;0.98;0.01;2;0.057;15;33;0.99488;3.6;0.46;11.2;6 +8.1;0.87;0;2.2;0.084;10;31;0.99656;3.25;0.5;9.8;5 +8.1;0.87;0;2.2;0.084;10;31;0.99656;3.25;0.5;9.8;5 +8.8;0.42;0.21;2.5;0.092;33;88;0.99823;3.19;0.52;9.2;5 +9;0.58;0.25;2.8;0.075;9;104;0.99779;3.23;0.57;9.7;5 +9.3;0.655;0.26;2;0.096;5;35;0.99738;3.25;0.42;9.6;5 +8.8;0.7;0;1.7;0.069;8;19;0.99701;3.31;0.53;10;6 +9.3;0.655;0.26;2;0.096;5;35;0.99738;3.25;0.42;9.6;5 +9.1;0.68;0.11;2.8;0.093;11;44;0.99888;3.31;0.55;9.5;6 +9.2;0.67;0.1;3;0.091;12;48;0.99888;3.31;0.54;9.5;6 +8.8;0.59;0.18;2.9;0.089;12;74;0.99738;3.14;0.54;9.4;5 +7.5;0.6;0.32;2.7;0.103;13;98;0.99938;3.45;0.62;9.5;5 +7.1;0.59;0.02;2.3;0.082;24;94;0.99744;3.55;0.53;9.7;6 +7.9;0.72;0.01;1.9;0.076;7;32;0.99668;3.39;0.54;9.6;5 +7.1;0.59;0.02;2.3;0.082;24;94;0.99744;3.55;0.53;9.7;6 +9.4;0.685;0.26;2.4;0.082;23;143;0.9978;3.28;0.55;9.4;5 +9.5;0.57;0.27;2.3;0.082;23;144;0.99782;3.27;0.55;9.4;5 +7.9;0.4;0.29;1.8;0.157;1;44;0.9973;3.3;0.92;9.5;6 +7.9;0.4;0.3;1.8;0.157;2;45;0.99727;3.31;0.91;9.5;6 +7.2;1;0;3;0.102;7;16;0.99586;3.43;0.46;10;5 +6.9;0.765;0.18;2.4;0.243;5.5;48;0.99612;3.4;0.6;10.3;6 +6.9;0.635;0.17;2.4;0.241;6;18;0.9961;3.4;0.59;10.3;6 +8.3;0.43;0.3;3.4;0.079;7;34;0.99788;3.36;0.61;10.5;5 +7.1;0.52;0.03;2.6;0.076;21;92;0.99745;3.5;0.6;9.8;5 +7;0.57;0;2;0.19;12;45;0.99676;3.31;0.6;9.4;6 +6.5;0.46;0.14;2.4;0.114;9;37;0.99732;3.66;0.65;9.8;5 +9;0.82;0.05;2.4;0.081;26;96;0.99814;3.36;0.53;10;5 +6.5;0.46;0.14;2.4;0.114;9;37;0.99732;3.66;0.65;9.8;5 +7.1;0.59;0.01;2.5;0.077;20;85;0.99746;3.55;0.59;9.8;5 +9.9;0.35;0.41;2.3;0.083;11;61;0.9982;3.21;0.5;9.5;5 +9.9;0.35;0.41;2.3;0.083;11;61;0.9982;3.21;0.5;9.5;5 +10;0.56;0.24;2.2;0.079;19;58;0.9991;3.18;0.56;10.1;6 +10;0.56;0.24;2.2;0.079;19;58;0.9991;3.18;0.56;10.1;6 +8.6;0.63;0.17;2.9;0.099;21;119;0.998;3.09;0.52;9.3;5 +7.4;0.37;0.43;2.6;0.082;18;82;0.99708;3.33;0.68;9.7;6 +8.8;0.64;0.17;2.9;0.084;25;130;0.99818;3.23;0.54;9.6;5 +7.1;0.61;0.02;2.5;0.081;17;87;0.99745;3.48;0.6;9.7;6 +7.7;0.6;0;2.6;0.055;7;13;0.99639;3.38;0.56;10.8;5 +10.1;0.27;0.54;2.3;0.065;7;26;0.99531;3.17;0.53;12.5;6 +10.8;0.89;0.3;2.6;0.132;7;60;0.99786;2.99;1.18;10.2;5 +8.7;0.46;0.31;2.5;0.126;24;64;0.99746;3.1;0.74;9.6;5 +9.3;0.37;0.44;1.6;0.038;21;42;0.99526;3.24;0.81;10.8;7 +9.4;0.5;0.34;3.6;0.082;5;14;0.9987;3.29;0.52;10.7;6 +9.4;0.5;0.34;3.6;0.082;5;14;0.9987;3.29;0.52;10.7;6 +7.2;0.61;0.08;4;0.082;26;108;0.99641;3.25;0.51;9.4;5 +8.6;0.55;0.09;3.3;0.068;8;17;0.99735;3.23;0.44;10;5 +5.1;0.585;0;1.7;0.044;14;86;0.99264;3.56;0.94;12.9;7 +7.7;0.56;0.08;2.5;0.114;14;46;0.9971;3.24;0.66;9.6;6 +8.4;0.52;0.22;2.7;0.084;4;18;0.99682;3.26;0.57;9.9;6 +8.2;0.28;0.4;2.4;0.052;4;10;0.99356;3.33;0.7;12.8;7 +8.4;0.25;0.39;2;0.041;4;10;0.99386;3.27;0.71;12.5;7 +8.2;0.28;0.4;2.4;0.052;4;10;0.99356;3.33;0.7;12.8;7 +7.4;0.53;0.12;1.9;0.165;4;12;0.99702;3.26;0.86;9.2;5 +7.6;0.48;0.31;2.8;0.07;4;15;0.99693;3.22;0.55;10.3;6 +7.3;0.49;0.1;2.6;0.068;4;14;0.99562;3.3;0.47;10.5;5 +12.9;0.5;0.55;2.8;0.072;7;24;1.00012;3.09;0.68;10.9;6 +10.8;0.45;0.33;2.5;0.099;20;38;0.99818;3.24;0.71;10.8;5 +6.9;0.39;0.24;2.1;0.102;4;7;0.99462;3.44;0.58;11.4;4 +12.6;0.41;0.54;2.8;0.103;19;41;0.99939;3.21;0.76;11.3;6 +10.8;0.45;0.33;2.5;0.099;20;38;0.99818;3.24;0.71;10.8;5 +9.8;0.51;0.19;3.2;0.081;8;30;0.9984;3.23;0.58;10.5;6 +10.8;0.29;0.42;1.6;0.084;19;27;0.99545;3.28;0.73;11.9;6 +7.1;0.715;0;2.35;0.071;21;47;0.99632;3.29;0.45;9.4;5 +9.1;0.66;0.15;3.2;0.097;9;59;0.99976;3.28;0.54;9.6;5 +7;0.685;0;1.9;0.099;9;22;0.99606;3.34;0.6;9.7;5 +4.9;0.42;0;2.1;0.048;16;42;0.99154;3.71;0.74;14;7 +6.7;0.54;0.13;2;0.076;15;36;0.9973;3.61;0.64;9.8;5 +6.7;0.54;0.13;2;0.076;15;36;0.9973;3.61;0.64;9.8;5 +7.1;0.48;0.28;2.8;0.068;6;16;0.99682;3.24;0.53;10.3;5 +7.1;0.46;0.14;2.8;0.076;15;37;0.99624;3.36;0.49;10.7;5 +7.5;0.27;0.34;2.3;0.05;4;8;0.9951;3.4;0.64;11;7 +7.1;0.46;0.14;2.8;0.076;15;37;0.99624;3.36;0.49;10.7;5 +7.8;0.57;0.09;2.3;0.065;34;45;0.99417;3.46;0.74;12.7;8 +5.9;0.61;0.08;2.1;0.071;16;24;0.99376;3.56;0.77;11.1;6 +7.5;0.685;0.07;2.5;0.058;5;9;0.99632;3.38;0.55;10.9;4 +5.9;0.61;0.08;2.1;0.071;16;24;0.99376;3.56;0.77;11.1;6 +10.4;0.44;0.42;1.5;0.145;34;48;0.99832;3.38;0.86;9.9;3 +11.6;0.47;0.44;1.6;0.147;36;51;0.99836;3.38;0.86;9.9;4 +8.8;0.685;0.26;1.6;0.088;16;23;0.99694;3.32;0.47;9.4;5 +7.6;0.665;0.1;1.5;0.066;27;55;0.99655;3.39;0.51;9.3;5 +6.7;0.28;0.28;2.4;0.012;36;100;0.99064;3.26;0.39;11.7;7 +6.7;0.28;0.28;2.4;0.012;36;100;0.99064;3.26;0.39;11.7;7 +10.1;0.31;0.35;1.6;0.075;9;28;0.99672;3.24;0.83;11.2;7 +6;0.5;0.04;2.2;0.092;13;26;0.99647;3.46;0.47;10;5 +11.1;0.42;0.47;2.65;0.085;9;34;0.99736;3.24;0.77;12.1;7 +6.6;0.66;0;3;0.115;21;31;0.99629;3.45;0.63;10.3;5 +10.6;0.5;0.45;2.6;0.119;34;68;0.99708;3.23;0.72;10.9;6 +7.1;0.685;0.35;2;0.088;9;92;0.9963;3.28;0.62;9.4;5 +9.9;0.25;0.46;1.7;0.062;26;42;0.9959;3.18;0.83;10.6;6 +6.4;0.64;0.21;1.8;0.081;14;31;0.99689;3.59;0.66;9.8;5 +6.4;0.64;0.21;1.8;0.081;14;31;0.99689;3.59;0.66;9.8;5 +7.4;0.68;0.16;1.8;0.078;12;39;0.9977;3.5;0.7;9.9;6 +6.4;0.64;0.21;1.8;0.081;14;31;0.99689;3.59;0.66;9.8;5 +6.4;0.63;0.21;1.6;0.08;12;32;0.99689;3.58;0.66;9.8;5 +9.3;0.43;0.44;1.9;0.085;9;22;0.99708;3.28;0.55;9.5;5 +9.3;0.43;0.44;1.9;0.085;9;22;0.99708;3.28;0.55;9.5;5 +8;0.42;0.32;2.5;0.08;26;122;0.99801;3.22;1.07;9.7;5 +9.3;0.36;0.39;1.5;0.08;41;55;0.99652;3.47;0.73;10.9;6 +9.3;0.36;0.39;1.5;0.08;41;55;0.99652;3.47;0.73;10.9;6 +7.6;0.735;0.02;2.5;0.071;10;14;0.99538;3.51;0.71;11.7;7 +9.3;0.36;0.39;1.5;0.08;41;55;0.99652;3.47;0.73;10.9;6 +8.2;0.26;0.34;2.5;0.073;16;47;0.99594;3.4;0.78;11.3;7 +11.7;0.28;0.47;1.7;0.054;17;32;0.99686;3.15;0.67;10.6;7 +6.8;0.56;0.22;1.8;0.074;15;24;0.99438;3.4;0.82;11.2;6 +7.2;0.62;0.06;2.7;0.077;15;85;0.99746;3.51;0.54;9.5;5 +5.8;1.01;0.66;2;0.039;15;88;0.99357;3.66;0.6;11.5;6 +7.5;0.42;0.32;2.7;0.067;7;25;0.99628;3.24;0.44;10.4;5 +7.2;0.62;0.06;2.5;0.078;17;84;0.99746;3.51;0.53;9.7;5 +7.2;0.62;0.06;2.7;0.077;15;85;0.99746;3.51;0.54;9.5;5 +7.2;0.635;0.07;2.6;0.077;16;86;0.99748;3.51;0.54;9.7;5 +6.8;0.49;0.22;2.3;0.071;13;24;0.99438;3.41;0.83;11.3;6 +6.9;0.51;0.23;2;0.072;13;22;0.99438;3.4;0.84;11.2;6 +6.8;0.56;0.22;1.8;0.074;15;24;0.99438;3.4;0.82;11.2;6 +7.6;0.63;0.03;2;0.08;27;43;0.99578;3.44;0.64;10.9;6 +7.7;0.715;0.01;2.1;0.064;31;43;0.99371;3.41;0.57;11.8;6 +6.9;0.56;0.03;1.5;0.086;36;46;0.99522;3.53;0.57;10.6;5 +7.3;0.35;0.24;2;0.067;28;48;0.99576;3.43;0.54;10;4 +9.1;0.21;0.37;1.6;0.067;6;10;0.99552;3.23;0.58;11.1;7 +10.4;0.38;0.46;2.1;0.104;6;10;0.99664;3.12;0.65;11.8;7 +8.8;0.31;0.4;2.8;0.109;7;16;0.99614;3.31;0.79;11.8;7 +7.1;0.47;0;2.2;0.067;7;14;0.99517;3.4;0.58;10.9;4 +7.7;0.715;0.01;2.1;0.064;31;43;0.99371;3.41;0.57;11.8;6 +8.8;0.61;0.19;4;0.094;30;69;0.99787;3.22;0.5;10;6 +7.2;0.6;0.04;2.5;0.076;18;88;0.99745;3.53;0.55;9.5;5 +9.2;0.56;0.18;1.6;0.078;10;21;0.99576;3.15;0.49;9.9;5 +7.6;0.715;0;2.1;0.068;30;35;0.99533;3.48;0.65;11.4;6 +8.4;0.31;0.29;3.1;0.194;14;26;0.99536;3.22;0.78;12;6 +7.2;0.6;0.04;2.5;0.076;18;88;0.99745;3.53;0.55;9.5;5 +8.8;0.61;0.19;4;0.094;30;69;0.99787;3.22;0.5;10;6 +8.9;0.75;0.14;2.5;0.086;9;30;0.99824;3.34;0.64;10.5;5 +9;0.8;0.12;2.4;0.083;8;28;0.99836;3.33;0.65;10.4;6 +10.7;0.52;0.38;2.6;0.066;29;56;0.99577;3.15;0.79;12.1;7 +6.8;0.57;0;2.5;0.072;32;64;0.99491;3.43;0.56;11.2;6 +10.7;0.9;0.34;6.6;0.112;23;99;1.00289;3.22;0.68;9.3;5 +7.2;0.34;0.24;2;0.071;30;52;0.99576;3.44;0.58;10.1;5 +7.2;0.66;0.03;2.3;0.078;16;86;0.99743;3.53;0.57;9.7;5 +10.1;0.45;0.23;1.9;0.082;10;18;0.99774;3.22;0.65;9.3;6 +7.2;0.66;0.03;2.3;0.078;16;86;0.99743;3.53;0.57;9.7;5 +7.2;0.63;0.03;2.2;0.08;17;88;0.99745;3.53;0.58;9.8;6 +7.1;0.59;0.01;2.3;0.08;27;43;0.9955;3.42;0.58;10.7;6 +8.3;0.31;0.39;2.4;0.078;17;43;0.99444;3.31;0.77;12.5;7 +7.1;0.59;0.01;2.3;0.08;27;43;0.9955;3.42;0.58;10.7;6 +8.3;0.31;0.39;2.4;0.078;17;43;0.99444;3.31;0.77;12.5;7 +8.3;1.02;0.02;3.4;0.084;6;11;0.99892;3.48;0.49;11;3 +8.9;0.31;0.36;2.6;0.056;10;39;0.99562;3.4;0.69;11.8;5 +7.4;0.635;0.1;2.4;0.08;16;33;0.99736;3.58;0.69;10.8;7 +7.4;0.635;0.1;2.4;0.08;16;33;0.99736;3.58;0.69;10.8;7 +6.8;0.59;0.06;6;0.06;11;18;0.9962;3.41;0.59;10.8;7 +6.8;0.59;0.06;6;0.06;11;18;0.9962;3.41;0.59;10.8;7 +9.2;0.58;0.2;3;0.081;15;115;0.998;3.23;0.59;9.5;5 +7.2;0.54;0.27;2.6;0.084;12;78;0.9964;3.39;0.71;11;5 +6.1;0.56;0;2.2;0.079;6;9;0.9948;3.59;0.54;11.5;6 +7.4;0.52;0.13;2.4;0.078;34;61;0.99528;3.43;0.59;10.8;6 +7.3;0.305;0.39;1.2;0.059;7;11;0.99331;3.29;0.52;11.5;6 +9.3;0.38;0.48;3.8;0.132;3;11;0.99577;3.23;0.57;13.2;6 +9.1;0.28;0.46;9;0.114;3;9;0.99901;3.18;0.6;10.9;6 +10;0.46;0.44;2.9;0.065;4;8;0.99674;3.33;0.62;12.2;6 +9.4;0.395;0.46;4.6;0.094;3;10;0.99639;3.27;0.64;12.2;7 +7.3;0.305;0.39;1.2;0.059;7;11;0.99331;3.29;0.52;11.5;6 +8.6;0.315;0.4;2.2;0.079;3;6;0.99512;3.27;0.67;11.9;6 +5.3;0.715;0.19;1.5;0.161;7;62;0.99395;3.62;0.61;11;5 +6.8;0.41;0.31;8.8;0.084;26;45;0.99824;3.38;0.64;10.1;6 +8.4;0.36;0.32;2.2;0.081;32;79;0.9964;3.3;0.72;11;6 +8.4;0.62;0.12;1.8;0.072;38;46;0.99504;3.38;0.89;11.8;6 +9.6;0.41;0.37;2.3;0.091;10;23;0.99786;3.24;0.56;10.5;5 +8.4;0.36;0.32;2.2;0.081;32;79;0.9964;3.3;0.72;11;6 +8.4;0.62;0.12;1.8;0.072;38;46;0.99504;3.38;0.89;11.8;6 +6.8;0.41;0.31;8.8;0.084;26;45;0.99824;3.38;0.64;10.1;6 +8.6;0.47;0.27;2.3;0.055;14;28;0.99516;3.18;0.8;11.2;5 +8.6;0.22;0.36;1.9;0.064;53;77;0.99604;3.47;0.87;11;7 +9.4;0.24;0.33;2.3;0.061;52;73;0.99786;3.47;0.9;10.2;6 +8.4;0.67;0.19;2.2;0.093;11;75;0.99736;3.2;0.59;9.2;4 +8.6;0.47;0.27;2.3;0.055;14;28;0.99516;3.18;0.8;11.2;5 +8.7;0.33;0.38;3.3;0.063;10;19;0.99468;3.3;0.73;12;7 +6.6;0.61;0.01;1.9;0.08;8;25;0.99746;3.69;0.73;10.5;5 +7.4;0.61;0.01;2;0.074;13;38;0.99748;3.48;0.65;9.8;5 +7.6;0.4;0.29;1.9;0.078;29;66;0.9971;3.45;0.59;9.5;6 +7.4;0.61;0.01;2;0.074;13;38;0.99748;3.48;0.65;9.8;5 +6.6;0.61;0.01;1.9;0.08;8;25;0.99746;3.69;0.73;10.5;5 +8.8;0.3;0.38;2.3;0.06;19;72;0.99543;3.39;0.72;11.8;6 +8.8;0.3;0.38;2.3;0.06;19;72;0.99543;3.39;0.72;11.8;6 +12;0.63;0.5;1.4;0.071;6;26;0.99791;3.07;0.6;10.4;4 +7.2;0.38;0.38;2.8;0.068;23;42;0.99356;3.34;0.72;12.9;7 +6.2;0.46;0.17;1.6;0.073;7;11;0.99425;3.61;0.54;11.4;5 +9.6;0.33;0.52;2.2;0.074;13;25;0.99509;3.36;0.76;12.4;7 +9.9;0.27;0.49;5;0.082;9;17;0.99484;3.19;0.52;12.5;7 +10.1;0.43;0.4;2.6;0.092;13;52;0.99834;3.22;0.64;10;7 +9.8;0.5;0.34;2.3;0.094;10;45;0.99864;3.24;0.6;9.7;7 +8.3;0.3;0.49;3.8;0.09;11;24;0.99498;3.27;0.64;12.1;7 +10.2;0.44;0.42;2;0.071;7;20;0.99566;3.14;0.79;11.1;7 +10.2;0.44;0.58;4.1;0.092;11;24;0.99745;3.29;0.99;12;7 +8.3;0.28;0.48;2.1;0.093;6;12;0.99408;3.26;0.62;12.4;7 +8.9;0.12;0.45;1.8;0.075;10;21;0.99552;3.41;0.76;11.9;7 +8.9;0.12;0.45;1.8;0.075;10;21;0.99552;3.41;0.76;11.9;7 +8.9;0.12;0.45;1.8;0.075;10;21;0.99552;3.41;0.76;11.9;7 +8.3;0.28;0.48;2.1;0.093;6;12;0.99408;3.26;0.62;12.4;7 +8.2;0.31;0.4;2.2;0.058;6;10;0.99536;3.31;0.68;11.2;7 +10.2;0.34;0.48;2.1;0.052;5;9;0.99458;3.2;0.69;12.1;7 +7.6;0.43;0.4;2.7;0.082;6;11;0.99538;3.44;0.54;12.2;6 +8.5;0.21;0.52;1.9;0.09;9;23;0.99648;3.36;0.67;10.4;5 +9;0.36;0.52;2.1;0.111;5;10;0.99568;3.31;0.62;11.3;6 +9.5;0.37;0.52;2;0.088;12;51;0.99613;3.29;0.58;11.1;6 +6.4;0.57;0.12;2.3;0.12;25;36;0.99519;3.47;0.71;11.3;7 +8;0.59;0.05;2;0.089;12;32;0.99735;3.36;0.61;10;5 +8.5;0.47;0.27;1.9;0.058;18;38;0.99518;3.16;0.85;11.1;6 +7.1;0.56;0.14;1.6;0.078;7;18;0.99592;3.27;0.62;9.3;5 +6.6;0.57;0.02;2.1;0.115;6;16;0.99654;3.38;0.69;9.5;5 +8.8;0.27;0.39;2;0.1;20;27;0.99546;3.15;0.69;11.2;6 +8.5;0.47;0.27;1.9;0.058;18;38;0.99518;3.16;0.85;11.1;6 +8.3;0.34;0.4;2.4;0.065;24;48;0.99554;3.34;0.86;11;6 +9;0.38;0.41;2.4;0.103;6;10;0.99604;3.13;0.58;11.9;7 +8.5;0.66;0.2;2.1;0.097;23;113;0.99733;3.13;0.48;9.2;5 +9;0.4;0.43;2.4;0.068;29;46;0.9943;3.2;0.6;12.2;6 +6.7;0.56;0.09;2.9;0.079;7;22;0.99669;3.46;0.61;10.2;5 +10.4;0.26;0.48;1.9;0.066;6;10;0.99724;3.33;0.87;10.9;6 +10.4;0.26;0.48;1.9;0.066;6;10;0.99724;3.33;0.87;10.9;6 +10.1;0.38;0.5;2.4;0.104;6;13;0.99643;3.22;0.65;11.6;7 +8.5;0.34;0.44;1.7;0.079;6;12;0.99605;3.52;0.63;10.7;5 +8.8;0.33;0.41;5.9;0.073;7;13;0.99658;3.3;0.62;12.1;7 +7.2;0.41;0.3;2.1;0.083;35;72;0.997;3.44;0.52;9.4;5 +7.2;0.41;0.3;2.1;0.083;35;72;0.997;3.44;0.52;9.4;5 +8.4;0.59;0.29;2.6;0.109;31;119;0.99801;3.15;0.5;9.1;5 +7;0.4;0.32;3.6;0.061;9;29;0.99416;3.28;0.49;11.3;7 +12.2;0.45;0.49;1.4;0.075;3;6;0.9969;3.13;0.63;10.4;5 +9.1;0.5;0.3;1.9;0.065;8;17;0.99774;3.32;0.71;10.5;6 +9.5;0.86;0.26;1.9;0.079;13;28;0.99712;3.25;0.62;10;5 +7.3;0.52;0.32;2.1;0.07;51;70;0.99418;3.34;0.82;12.9;6 +9.1;0.5;0.3;1.9;0.065;8;17;0.99774;3.32;0.71;10.5;6 +12.2;0.45;0.49;1.4;0.075;3;6;0.9969;3.13;0.63;10.4;5 +7.4;0.58;0;2;0.064;7;11;0.99562;3.45;0.58;11.3;6 +9.8;0.34;0.39;1.4;0.066;3;7;0.9947;3.19;0.55;11.4;7 +7.1;0.36;0.3;1.6;0.08;35;70;0.99693;3.44;0.5;9.4;5 +7.7;0.39;0.12;1.7;0.097;19;27;0.99596;3.16;0.49;9.4;5 +9.7;0.295;0.4;1.5;0.073;14;21;0.99556;3.14;0.51;10.9;6 +7.7;0.39;0.12;1.7;0.097;19;27;0.99596;3.16;0.49;9.4;5 +7.1;0.34;0.28;2;0.082;31;68;0.99694;3.45;0.48;9.4;5 +6.5;0.4;0.1;2;0.076;30;47;0.99554;3.36;0.48;9.4;6 +7.1;0.34;0.28;2;0.082;31;68;0.99694;3.45;0.48;9.4;5 +10;0.35;0.45;2.5;0.092;20;88;0.99918;3.15;0.43;9.4;5 +7.7;0.6;0.06;2;0.079;19;41;0.99697;3.39;0.62;10.1;6 +5.6;0.66;0;2.2;0.087;3;11;0.99378;3.71;0.63;12.8;7 +5.6;0.66;0;2.2;0.087;3;11;0.99378;3.71;0.63;12.8;7 +8.9;0.84;0.34;1.4;0.05;4;10;0.99554;3.12;0.48;9.1;6 +6.4;0.69;0;1.65;0.055;7;12;0.99162;3.47;0.53;12.9;6 +7.5;0.43;0.3;2.2;0.062;6;12;0.99495;3.44;0.72;11.5;7 +9.9;0.35;0.38;1.5;0.058;31;47;0.99676;3.26;0.82;10.6;7 +9.1;0.29;0.33;2.05;0.063;13;27;0.99516;3.26;0.84;11.7;7 +6.8;0.36;0.32;1.8;0.067;4;8;0.9928;3.36;0.55;12.8;7 +8.2;0.43;0.29;1.6;0.081;27;45;0.99603;3.25;0.54;10.3;5 +6.8;0.36;0.32;1.8;0.067;4;8;0.9928;3.36;0.55;12.8;7 +9.1;0.29;0.33;2.05;0.063;13;27;0.99516;3.26;0.84;11.7;7 +9.1;0.3;0.34;2;0.064;12;25;0.99516;3.26;0.84;11.7;7 +8.9;0.35;0.4;3.6;0.11;12;24;0.99549;3.23;0.7;12;7 +9.6;0.5;0.36;2.8;0.116;26;55;0.99722;3.18;0.68;10.9;5 +8.9;0.28;0.45;1.7;0.067;7;12;0.99354;3.25;0.55;12.3;7 +8.9;0.32;0.31;2;0.088;12;19;0.9957;3.17;0.55;10.4;6 +7.7;1.005;0.15;2.1;0.102;11;32;0.99604;3.23;0.48;10;5 +7.5;0.71;0;1.6;0.092;22;31;0.99635;3.38;0.58;10;6 +8;0.58;0.16;2;0.12;3;7;0.99454;3.22;0.58;11.2;6 +10.5;0.39;0.46;2.2;0.075;14;27;0.99598;3.06;0.84;11.4;6 +8.9;0.38;0.4;2.2;0.068;12;28;0.99486;3.27;0.75;12.6;7 +8;0.18;0.37;0.9;0.049;36;109;0.99007;2.89;0.44;12.7;6 +8;0.18;0.37;0.9;0.049;36;109;0.99007;2.89;0.44;12.7;6 +7;0.5;0.14;1.8;0.078;10;23;0.99636;3.53;0.61;10.4;5 +11.3;0.36;0.66;2.4;0.123;3;8;0.99642;3.2;0.53;11.9;6 +11.3;0.36;0.66;2.4;0.123;3;8;0.99642;3.2;0.53;11.9;6 +7;0.51;0.09;2.1;0.062;4;9;0.99584;3.35;0.54;10.5;5 +8.2;0.32;0.42;2.3;0.098;3;9;0.99506;3.27;0.55;12.3;6 +7.7;0.58;0.01;1.8;0.088;12;18;0.99568;3.32;0.56;10.5;7 +8.6;0.83;0;2.8;0.095;17;43;0.99822;3.33;0.6;10.4;6 +7.9;0.31;0.32;1.9;0.066;14;36;0.99364;3.41;0.56;12.6;6 +6.4;0.795;0;2.2;0.065;28;52;0.99378;3.49;0.52;11.6;5 +7.2;0.34;0.21;2.5;0.075;41;68;0.99586;3.37;0.54;10.1;6 +7.7;0.58;0.01;1.8;0.088;12;18;0.99568;3.32;0.56;10.5;7 +7.1;0.59;0;2.1;0.091;9;14;0.99488;3.42;0.55;11.5;7 +7.3;0.55;0.01;1.8;0.093;9;15;0.99514;3.35;0.58;11;7 +8.1;0.82;0;4.1;0.095;5;14;0.99854;3.36;0.53;9.6;5 +7.5;0.57;0.08;2.6;0.089;14;27;0.99592;3.3;0.59;10.4;6 +8.9;0.745;0.18;2.5;0.077;15;48;0.99739;3.2;0.47;9.7;6 +10.1;0.37;0.34;2.4;0.085;5;17;0.99683;3.17;0.65;10.6;7 +7.6;0.31;0.34;2.5;0.082;26;35;0.99356;3.22;0.59;12.5;7 +7.3;0.91;0.1;1.8;0.074;20;56;0.99672;3.35;0.56;9.2;5 +8.7;0.41;0.41;6.2;0.078;25;42;0.9953;3.24;0.77;12.6;7 +8.9;0.5;0.21;2.2;0.088;21;39;0.99692;3.33;0.83;11.1;6 +7.4;0.965;0;2.2;0.088;16;32;0.99756;3.58;0.67;10.2;5 +6.9;0.49;0.19;1.7;0.079;13;26;0.99547;3.38;0.64;9.8;6 +8.9;0.5;0.21;2.2;0.088;21;39;0.99692;3.33;0.83;11.1;6 +9.5;0.39;0.41;8.9;0.069;18;39;0.99859;3.29;0.81;10.9;7 +6.4;0.39;0.33;3.3;0.046;12;53;0.99294;3.36;0.62;12.2;6 +6.9;0.44;0;1.4;0.07;32;38;0.99438;3.32;0.58;11.4;6 +7.6;0.78;0;1.7;0.076;33;45;0.99612;3.31;0.62;10.7;6 +7.1;0.43;0.17;1.8;0.082;27;51;0.99634;3.49;0.64;10.4;5 +9.3;0.49;0.36;1.7;0.081;3;14;0.99702;3.27;0.78;10.9;6 +9.3;0.5;0.36;1.8;0.084;6;17;0.99704;3.27;0.77;10.8;6 +7.1;0.43;0.17;1.8;0.082;27;51;0.99634;3.49;0.64;10.4;5 +8.5;0.46;0.59;1.4;0.414;16;45;0.99702;3.03;1.34;9.2;5 +5.6;0.605;0.05;2.4;0.073;19;25;0.99258;3.56;0.55;12.9;5 +8.3;0.33;0.42;2.3;0.07;9;20;0.99426;3.38;0.77;12.7;7 +8.2;0.64;0.27;2;0.095;5;77;0.99747;3.13;0.62;9.1;6 +8.2;0.64;0.27;2;0.095;5;77;0.99747;3.13;0.62;9.1;6 +8.9;0.48;0.53;4;0.101;3;10;0.99586;3.21;0.59;12.1;7 +7.6;0.42;0.25;3.9;0.104;28;90;0.99784;3.15;0.57;9.1;5 +9.9;0.53;0.57;2.4;0.093;30;52;0.9971;3.19;0.76;11.6;7 +8.9;0.48;0.53;4;0.101;3;10;0.99586;3.21;0.59;12.1;7 +11.6;0.23;0.57;1.8;0.074;3;8;0.9981;3.14;0.7;9.9;6 +9.1;0.4;0.5;1.8;0.071;7;16;0.99462;3.21;0.69;12.5;8 +8;0.38;0.44;1.9;0.098;6;15;0.9956;3.3;0.64;11.4;6 +10.2;0.29;0.65;2.4;0.075;6;17;0.99565;3.22;0.63;11.8;6 +8.2;0.74;0.09;2;0.067;5;10;0.99418;3.28;0.57;11.8;6 +7.7;0.61;0.18;2.4;0.083;6;20;0.9963;3.29;0.6;10.2;6 +6.6;0.52;0.08;2.4;0.07;13;26;0.99358;3.4;0.72;12.5;7 +11.1;0.31;0.53;2.2;0.06;3;10;0.99572;3.02;0.83;10.9;7 +11.1;0.31;0.53;2.2;0.06;3;10;0.99572;3.02;0.83;10.9;7 +8;0.62;0.35;2.8;0.086;28;52;0.997;3.31;0.62;10.8;5 +9.3;0.33;0.45;1.5;0.057;19;37;0.99498;3.18;0.89;11.1;7 +7.5;0.77;0.2;8.1;0.098;30;92;0.99892;3.2;0.58;9.2;5 +7.2;0.35;0.26;1.8;0.083;33;75;0.9968;3.4;0.58;9.5;6 +8;0.62;0.33;2.7;0.088;16;37;0.9972;3.31;0.58;10.7;6 +7.5;0.77;0.2;8.1;0.098;30;92;0.99892;3.2;0.58;9.2;5 +9.1;0.25;0.34;2;0.071;45;67;0.99769;3.44;0.86;10.2;7 +9.9;0.32;0.56;2;0.073;3;8;0.99534;3.15;0.73;11.4;6 +8.6;0.37;0.65;6.4;0.08;3;8;0.99817;3.27;0.58;11;5 +8.6;0.37;0.65;6.4;0.08;3;8;0.99817;3.27;0.58;11;5 +7.9;0.3;0.68;8.3;0.05;37.5;278;0.99316;3.01;0.51;12.3;7 +10.3;0.27;0.56;1.4;0.047;3;8;0.99471;3.16;0.51;11.8;6 +7.9;0.3;0.68;8.3;0.05;37.5;289;0.99316;3.01;0.51;12.3;7 +7.2;0.38;0.3;1.8;0.073;31;70;0.99685;3.42;0.59;9.5;6 +8.7;0.42;0.45;2.4;0.072;32;59;0.99617;3.33;0.77;12;6 +7.2;0.38;0.3;1.8;0.073;31;70;0.99685;3.42;0.59;9.5;6 +6.8;0.48;0.08;1.8;0.074;40;64;0.99529;3.12;0.49;9.6;5 +8.5;0.34;0.4;4.7;0.055;3;9;0.99738;3.38;0.66;11.6;7 +7.9;0.19;0.42;1.6;0.057;18;30;0.994;3.29;0.69;11.2;6 +11.6;0.41;0.54;1.5;0.095;22;41;0.99735;3.02;0.76;9.9;7 +11.6;0.41;0.54;1.5;0.095;22;41;0.99735;3.02;0.76;9.9;7 +10;0.26;0.54;1.9;0.083;42;74;0.99451;2.98;0.63;11.8;8 +7.9;0.34;0.42;2;0.086;8;19;0.99546;3.35;0.6;11.4;6 +7;0.54;0.09;2;0.081;10;16;0.99479;3.43;0.59;11.5;6 +9.2;0.31;0.36;2.2;0.079;11;31;0.99615;3.33;0.86;12;7 +6.6;0.725;0.09;5.5;0.117;9;17;0.99655;3.35;0.49;10.8;6 +9.4;0.4;0.47;2.5;0.087;6;20;0.99772;3.15;0.5;10.5;5 +6.6;0.725;0.09;5.5;0.117;9;17;0.99655;3.35;0.49;10.8;6 +8.6;0.52;0.38;1.5;0.096;5;18;0.99666;3.2;0.52;9.4;5 +8;0.31;0.45;2.1;0.216;5;16;0.99358;3.15;0.81;12.5;7 +8.6;0.52;0.38;1.5;0.096;5;18;0.99666;3.2;0.52;9.4;5 +8.4;0.34;0.42;2.1;0.072;23;36;0.99392;3.11;0.78;12.4;6 +7.4;0.49;0.27;2.1;0.071;14;25;0.99388;3.35;0.63;12;6 +6.1;0.48;0.09;1.7;0.078;18;30;0.99402;3.45;0.54;11.2;6 +7.4;0.49;0.27;2.1;0.071;14;25;0.99388;3.35;0.63;12;6 +8;0.48;0.34;2.2;0.073;16;25;0.9936;3.28;0.66;12.4;6 +6.3;0.57;0.28;2.1;0.048;13;49;0.99374;3.41;0.6;12.8;5 +8.2;0.23;0.42;1.9;0.069;9;17;0.99376;3.21;0.54;12.3;6 +9.1;0.3;0.41;2;0.068;10;24;0.99523;3.27;0.85;11.7;7 +8.1;0.78;0.1;3.3;0.09;4;13;0.99855;3.36;0.49;9.5;5 +10.8;0.47;0.43;2.1;0.171;27;66;0.9982;3.17;0.76;10.8;6 +8.3;0.53;0;1.4;0.07;6;14;0.99593;3.25;0.64;10;6 +5.4;0.42;0.27;2;0.092;23;55;0.99471;3.78;0.64;12.3;7 +7.9;0.33;0.41;1.5;0.056;6;35;0.99396;3.29;0.71;11;6 +8.9;0.24;0.39;1.6;0.074;3;10;0.99698;3.12;0.59;9.5;6 +5;0.4;0.5;4.3;0.046;29;80;0.9902;3.49;0.66;13.6;6 +7;0.69;0.07;2.5;0.091;15;21;0.99572;3.38;0.6;11.3;6 +7;0.69;0.07;2.5;0.091;15;21;0.99572;3.38;0.6;11.3;6 +7;0.69;0.07;2.5;0.091;15;21;0.99572;3.38;0.6;11.3;6 +7.1;0.39;0.12;2.1;0.065;14;24;0.99252;3.3;0.53;13.3;6 +5.6;0.66;0;2.5;0.066;7;15;0.99256;3.52;0.58;12.9;5 +7.9;0.54;0.34;2.5;0.076;8;17;0.99235;3.2;0.72;13.1;8 +6.6;0.5;0;1.8;0.062;21;28;0.99352;3.44;0.55;12.3;6 +6.3;0.47;0;1.4;0.055;27;33;0.9922;3.45;0.48;12.3;6 +10.7;0.4;0.37;1.9;0.081;17;29;0.99674;3.12;0.65;11.2;6 +6.5;0.58;0;2.2;0.096;3;13;0.99557;3.62;0.62;11.5;4 +8.8;0.24;0.35;1.7;0.055;13;27;0.99394;3.14;0.59;11.3;7 +5.8;0.29;0.26;1.7;0.063;3;11;0.9915;3.39;0.54;13.5;6 +6.3;0.76;0;2.9;0.072;26;52;0.99379;3.51;0.6;11.5;6 +10;0.43;0.33;2.7;0.095;28;89;0.9984;3.22;0.68;10;5 +10.5;0.43;0.35;3.3;0.092;24;70;0.99798;3.21;0.69;10.5;6 +9.1;0.6;0;1.9;0.058;5;10;0.9977;3.18;0.63;10.4;6 +5.9;0.19;0.21;1.7;0.045;57;135;0.99341;3.32;0.44;9.5;5 +7.4;0.36;0.34;1.8;0.075;18;38;0.9933;3.38;0.88;13.6;7 +7.2;0.48;0.07;5.5;0.089;10;18;0.99684;3.37;0.68;11.2;7 +8.5;0.28;0.35;1.7;0.061;6;15;0.99524;3.3;0.74;11.8;7 +8;0.25;0.43;1.7;0.067;22;50;0.9946;3.38;0.6;11.9;6 +10.4;0.52;0.45;2;0.08;6;13;0.99774;3.22;0.76;11.4;6 +10.4;0.52;0.45;2;0.08;6;13;0.99774;3.22;0.76;11.4;6 +7.5;0.41;0.15;3.7;0.104;29;94;0.99786;3.14;0.58;9.1;5 +8.2;0.51;0.24;2;0.079;16;86;0.99764;3.34;0.64;9.5;6 +7.3;0.4;0.3;1.7;0.08;33;79;0.9969;3.41;0.65;9.5;6 +8.2;0.38;0.32;2.5;0.08;24;71;0.99624;3.27;0.85;11;6 +6.9;0.45;0.11;2.4;0.043;6;12;0.99354;3.3;0.65;11.4;6 +7;0.22;0.3;1.8;0.065;16;20;0.99672;3.61;0.82;10;6 +7.3;0.32;0.23;2.3;0.066;35;70;0.99588;3.43;0.62;10.1;5 +8.2;0.2;0.43;2.5;0.076;31;51;0.99672;3.53;0.81;10.4;6 +7.8;0.5;0.12;1.8;0.178;6;21;0.996;3.28;0.87;9.8;6 +10;0.41;0.45;6.2;0.071;6;14;0.99702;3.21;0.49;11.8;7 +7.8;0.39;0.42;2;0.086;9;21;0.99526;3.39;0.66;11.6;6 +10;0.35;0.47;2;0.061;6;11;0.99585;3.23;0.52;12;6 +8.2;0.33;0.32;2.8;0.067;4;12;0.99473;3.3;0.76;12.8;7 +6.1;0.58;0.23;2.5;0.044;16;70;0.99352;3.46;0.65;12.5;6 +8.3;0.6;0.25;2.2;0.118;9;38;0.99616;3.15;0.53;9.8;5 +9.6;0.42;0.35;2.1;0.083;17;38;0.99622;3.23;0.66;11.1;6 +6.6;0.58;0;2.2;0.1;50;63;0.99544;3.59;0.68;11.4;6 +8.3;0.6;0.25;2.2;0.118;9;38;0.99616;3.15;0.53;9.8;5 +8.5;0.18;0.51;1.75;0.071;45;88;0.99524;3.33;0.76;11.8;7 +5.1;0.51;0.18;2.1;0.042;16;101;0.9924;3.46;0.87;12.9;7 +6.7;0.41;0.43;2.8;0.076;22;54;0.99572;3.42;1.16;10.6;6 +10.2;0.41;0.43;2.2;0.11;11;37;0.99728;3.16;0.67;10.8;5 +10.6;0.36;0.57;2.3;0.087;6;20;0.99676;3.14;0.72;11.1;7 +8.8;0.45;0.43;1.4;0.076;12;21;0.99551;3.21;0.75;10.2;6 +8.5;0.32;0.42;2.3;0.075;12;19;0.99434;3.14;0.71;11.8;7 +9;0.785;0.24;1.7;0.078;10;21;0.99692;3.29;0.67;10;5 +9;0.785;0.24;1.7;0.078;10;21;0.99692;3.29;0.67;10;5 +8.5;0.44;0.5;1.9;0.369;15;38;0.99634;3.01;1.1;9.4;5 +9.9;0.54;0.26;2;0.111;7;60;0.99709;2.94;0.98;10.2;5 +8.2;0.33;0.39;2.5;0.074;29;48;0.99528;3.32;0.88;12.4;7 +6.5;0.34;0.27;2.8;0.067;8;44;0.99384;3.21;0.56;12;6 +7.6;0.5;0.29;2.3;0.086;5;14;0.99502;3.32;0.62;11.5;6 +9.2;0.36;0.34;1.6;0.062;5;12;0.99667;3.2;0.67;10.5;6 +7.1;0.59;0;2.2;0.078;26;44;0.99522;3.42;0.68;10.8;6 +9.7;0.42;0.46;2.1;0.074;5;16;0.99649;3.27;0.74;12.3;6 +7.6;0.36;0.31;1.7;0.079;26;65;0.99716;3.46;0.62;9.5;6 +7.6;0.36;0.31;1.7;0.079;26;65;0.99716;3.46;0.62;9.5;6 +6.5;0.61;0;2.2;0.095;48;59;0.99541;3.61;0.7;11.5;6 +6.5;0.88;0.03;5.6;0.079;23;47;0.99572;3.58;0.5;11.2;4 +7.1;0.66;0;2.4;0.052;6;11;0.99318;3.35;0.66;12.7;7 +5.6;0.915;0;2.1;0.041;17;78;0.99346;3.68;0.73;11.4;5 +8.2;0.35;0.33;2.4;0.076;11;47;0.99599;3.27;0.81;11;6 +8.2;0.35;0.33;2.4;0.076;11;47;0.99599;3.27;0.81;11;6 +9.8;0.39;0.43;1.65;0.068;5;11;0.99478;3.19;0.46;11.4;5 +10.2;0.4;0.4;2.5;0.068;41;54;0.99754;3.38;0.86;10.5;6 +6.8;0.66;0.07;1.6;0.07;16;61;0.99572;3.29;0.6;9.3;5 +6.7;0.64;0.23;2.1;0.08;11;119;0.99538;3.36;0.7;10.9;5 +7;0.43;0.3;2;0.085;6;39;0.99346;3.33;0.46;11.9;6 +6.6;0.8;0.03;7.8;0.079;6;12;0.9963;3.52;0.5;12.2;5 +7;0.43;0.3;2;0.085;6;39;0.99346;3.33;0.46;11.9;6 +6.7;0.64;0.23;2.1;0.08;11;119;0.99538;3.36;0.7;10.9;5 +8.8;0.955;0.05;1.8;0.075;5;19;0.99616;3.3;0.44;9.6;4 +9.1;0.4;0.57;4.6;0.08;6;20;0.99652;3.28;0.57;12.5;6 +6.5;0.885;0;2.3;0.166;6;12;0.99551;3.56;0.51;10.8;5 +7.2;0.25;0.37;2.5;0.063;11;41;0.99439;3.52;0.8;12.4;7 +6.4;0.885;0;2.3;0.166;6;12;0.99551;3.56;0.51;10.8;5 +7;0.745;0.12;1.8;0.114;15;64;0.99588;3.22;0.59;9.5;6 +6.2;0.43;0.22;1.8;0.078;21;56;0.99633;3.52;0.6;9.5;6 +7.9;0.58;0.23;2.3;0.076;23;94;0.99686;3.21;0.58;9.5;6 +7.7;0.57;0.21;1.5;0.069;4;9;0.99458;3.16;0.54;9.8;6 +7.7;0.26;0.26;2;0.052;19;77;0.9951;3.15;0.79;10.9;6 +7.9;0.58;0.23;2.3;0.076;23;94;0.99686;3.21;0.58;9.5;6 +7.7;0.57;0.21;1.5;0.069;4;9;0.99458;3.16;0.54;9.8;6 +7.9;0.34;0.36;1.9;0.065;5;10;0.99419;3.27;0.54;11.2;7 +8.6;0.42;0.39;1.8;0.068;6;12;0.99516;3.35;0.69;11.7;8 +9.9;0.74;0.19;5.8;0.111;33;76;0.99878;3.14;0.55;9.4;5 +7.2;0.36;0.46;2.1;0.074;24;44;0.99534;3.4;0.85;11;7 +7.2;0.36;0.46;2.1;0.074;24;44;0.99534;3.4;0.85;11;7 +7.2;0.36;0.46;2.1;0.074;24;44;0.99534;3.4;0.85;11;7 +9.9;0.72;0.55;1.7;0.136;24;52;0.99752;3.35;0.94;10;5 +7.2;0.36;0.46;2.1;0.074;24;44;0.99534;3.4;0.85;11;7 +6.2;0.39;0.43;2;0.071;14;24;0.99428;3.45;0.87;11.2;7 +6.8;0.65;0.02;2.1;0.078;8;15;0.99498;3.35;0.62;10.4;6 +6.6;0.44;0.15;2.1;0.076;22;53;0.9957;3.32;0.62;9.3;5 +6.8;0.65;0.02;2.1;0.078;8;15;0.99498;3.35;0.62;10.4;6 +9.6;0.38;0.42;1.9;0.071;5;13;0.99659;3.15;0.75;10.5;6 +10.2;0.33;0.46;1.9;0.081;6;9;0.99628;3.1;0.48;10.4;6 +8.8;0.27;0.46;2.1;0.095;20;29;0.99488;3.26;0.56;11.3;6 +7.9;0.57;0.31;2;0.079;10;79;0.99677;3.29;0.69;9.5;6 +8.2;0.34;0.37;1.9;0.057;43;74;0.99408;3.23;0.81;12;6 +8.2;0.4;0.31;1.9;0.082;8;24;0.996;3.24;0.69;10.6;6 +9;0.39;0.4;1.3;0.044;25;50;0.99478;3.2;0.83;10.9;6 +10.9;0.32;0.52;1.8;0.132;17;44;0.99734;3.28;0.77;11.5;6 +10.9;0.32;0.52;1.8;0.132;17;44;0.99734;3.28;0.77;11.5;6 +8.1;0.53;0.22;2.2;0.078;33;89;0.99678;3.26;0.46;9.6;6 +10.5;0.36;0.47;2.2;0.074;9;23;0.99638;3.23;0.76;12;6 +12.6;0.39;0.49;2.5;0.08;8;20;0.9992;3.07;0.82;10.3;6 +9.2;0.46;0.23;2.6;0.091;18;77;0.99922;3.15;0.51;9.4;5 +7.5;0.58;0.03;4.1;0.08;27;46;0.99592;3.02;0.47;9.2;5 +9;0.58;0.25;2;0.104;8;21;0.99769;3.27;0.72;9.6;5 +5.1;0.42;0;1.8;0.044;18;88;0.99157;3.68;0.73;13.6;7 +7.6;0.43;0.29;2.1;0.075;19;66;0.99718;3.4;0.64;9.5;5 +7.7;0.18;0.34;2.7;0.066;15;58;0.9947;3.37;0.78;11.8;6 +7.8;0.815;0.01;2.6;0.074;48;90;0.99621;3.38;0.62;10.8;5 +7.6;0.43;0.29;2.1;0.075;19;66;0.99718;3.4;0.64;9.5;5 +10.2;0.23;0.37;2.2;0.057;14;36;0.99614;3.23;0.49;9.3;4 +7.1;0.75;0.01;2.2;0.059;11;18;0.99242;3.39;0.4;12.8;6 +6;0.33;0.32;12.9;0.054;6;113;0.99572;3.3;0.56;11.5;4 +7.8;0.55;0;1.7;0.07;7;17;0.99659;3.26;0.64;9.4;6 +7.1;0.75;0.01;2.2;0.059;11;18;0.99242;3.39;0.4;12.8;6 +8.1;0.73;0;2.5;0.081;12;24;0.99798;3.38;0.46;9.6;4 +6.5;0.67;0;4.3;0.057;11;20;0.99488;3.45;0.56;11.8;4 +7.5;0.61;0.2;1.7;0.076;36;60;0.99494;3.1;0.4;9.3;5 +9.8;0.37;0.39;2.5;0.079;28;65;0.99729;3.16;0.59;9.8;5 +9;0.4;0.41;2;0.058;15;40;0.99414;3.22;0.6;12.2;6 +8.3;0.56;0.22;2.4;0.082;10;86;0.9983;3.37;0.62;9.5;5 +5.9;0.29;0.25;13.4;0.067;72;160;0.99721;3.33;0.54;10.3;6 +7.4;0.55;0.19;1.8;0.082;15;34;0.99655;3.49;0.68;10.5;5 +7.4;0.74;0.07;1.7;0.086;15;48;0.99502;3.12;0.48;10;5 +7.4;0.55;0.19;1.8;0.082;15;34;0.99655;3.49;0.68;10.5;5 +6.9;0.41;0.33;2.2;0.081;22;36;0.9949;3.41;0.75;11.1;6 +7.1;0.6;0.01;2.3;0.079;24;37;0.99514;3.4;0.61;10.9;6 +7.1;0.6;0.01;2.3;0.079;24;37;0.99514;3.4;0.61;10.9;6 +7.5;0.58;0.14;2.2;0.077;27;60;0.9963;3.28;0.59;9.8;5 +7.1;0.72;0;1.8;0.123;6;14;0.99627;3.45;0.58;9.8;5 +7.9;0.66;0;1.4;0.096;6;13;0.99569;3.43;0.58;9.5;5 +7.8;0.7;0.06;1.9;0.079;20;35;0.99628;3.4;0.69;10.9;5 +6.1;0.64;0.02;2.4;0.069;26;46;0.99358;3.47;0.45;11;5 +7.5;0.59;0.22;1.8;0.082;43;60;0.99499;3.1;0.42;9.2;5 +7;0.58;0.28;4.8;0.085;12;69;0.99633;3.32;0.7;11;6 +6.8;0.64;0;2.7;0.123;15;33;0.99538;3.44;0.63;11.3;6 +6.8;0.64;0;2.7;0.123;15;33;0.99538;3.44;0.63;11.3;6 +8.6;0.635;0.68;1.8;0.403;19;56;0.99632;3.02;1.15;9.3;5 +6.3;1.02;0;2;0.083;17;24;0.99437;3.59;0.55;11.2;4 +9.8;0.45;0.38;2.5;0.081;34;66;0.99726;3.15;0.58;9.8;5 +8.2;0.78;0;2.2;0.089;13;26;0.9978;3.37;0.46;9.6;4 +8.5;0.37;0.32;1.8;0.066;26;51;0.99456;3.38;0.72;11.8;6 +7.2;0.57;0.05;2.3;0.081;16;36;0.99564;3.38;0.6;10.3;6 +7.2;0.57;0.05;2.3;0.081;16;36;0.99564;3.38;0.6;10.3;6 +10.4;0.43;0.5;2.3;0.068;13;19;0.996;3.1;0.87;11.4;6 +6.9;0.41;0.31;2;0.079;21;51;0.99668;3.47;0.55;9.5;6 +5.5;0.49;0.03;1.8;0.044;28;87;0.9908;3.5;0.82;14;8 +5;0.38;0.01;1.6;0.048;26;60;0.99084;3.7;0.75;14;6 +7.3;0.44;0.2;1.6;0.049;24;64;0.9935;3.38;0.57;11.7;6 +5.9;0.46;0;1.9;0.077;25;44;0.99385;3.5;0.53;11.2;5 +7.5;0.58;0.2;2;0.073;34;44;0.99494;3.1;0.43;9.3;5 +7.8;0.58;0.13;2.1;0.102;17;36;0.9944;3.24;0.53;11.2;6 +8;0.715;0.22;2.3;0.075;13;81;0.99688;3.24;0.54;9.5;6 +8.5;0.4;0.4;6.3;0.05;3;10;0.99566;3.28;0.56;12;4 +7;0.69;0;1.9;0.114;3;10;0.99636;3.35;0.6;9.7;6 +8;0.715;0.22;2.3;0.075;13;81;0.99688;3.24;0.54;9.5;6 +9.8;0.3;0.39;1.7;0.062;3;9;0.9948;3.14;0.57;11.5;7 +7.1;0.46;0.2;1.9;0.077;28;54;0.9956;3.37;0.64;10.4;6 +7.1;0.46;0.2;1.9;0.077;28;54;0.9956;3.37;0.64;10.4;6 +7.9;0.765;0;2;0.084;9;22;0.99619;3.33;0.68;10.9;6 +8.7;0.63;0.28;2.7;0.096;17;69;0.99734;3.26;0.63;10.2;6 +7;0.42;0.19;2.3;0.071;18;36;0.99476;3.39;0.56;10.9;5 +11.3;0.37;0.5;1.8;0.09;20;47;0.99734;3.15;0.57;10.5;5 +7.1;0.16;0.44;2.5;0.068;17;31;0.99328;3.35;0.54;12.4;6 +8;0.6;0.08;2.6;0.056;3;7;0.99286;3.22;0.37;13;5 +7;0.6;0.3;4.5;0.068;20;110;0.99914;3.3;1.17;10.2;5 +7;0.6;0.3;4.5;0.068;20;110;0.99914;3.3;1.17;10.2;5 +7.6;0.74;0;1.9;0.1;6;12;0.99521;3.36;0.59;11;5 +8.2;0.635;0.1;2.1;0.073;25;60;0.99638;3.29;0.75;10.9;6 +5.9;0.395;0.13;2.4;0.056;14;28;0.99362;3.62;0.67;12.4;6 +7.5;0.755;0;1.9;0.084;6;12;0.99672;3.34;0.49;9.7;4 +8.2;0.635;0.1;2.1;0.073;25;60;0.99638;3.29;0.75;10.9;6 +6.6;0.63;0;4.3;0.093;51;77.5;0.99558;3.2;0.45;9.5;5 +6.6;0.63;0;4.3;0.093;51;77.5;0.99558;3.2;0.45;9.5;5 +7.2;0.53;0.14;2.1;0.064;15;29;0.99323;3.35;0.61;12.1;6 +5.7;0.6;0;1.4;0.063;11;18;0.99191;3.45;0.56;12.2;6 +7.6;1.58;0;2.1;0.137;5;9;0.99476;3.5;0.4;10.9;3 +5.2;0.645;0;2.15;0.08;15;28;0.99444;3.78;0.61;12.5;6 +6.7;0.86;0.07;2;0.1;20;57;0.99598;3.6;0.74;11.7;6 +9.1;0.37;0.32;2.1;0.064;4;15;0.99576;3.3;0.8;11.2;6 +8;0.28;0.44;1.8;0.081;28;68;0.99501;3.36;0.66;11.2;5 +7.6;0.79;0.21;2.3;0.087;21;68;0.9955;3.12;0.44;9.2;5 +7.5;0.61;0.26;1.9;0.073;24;88;0.99612;3.3;0.53;9.8;5 +9.7;0.69;0.32;2.5;0.088;22;91;0.9979;3.29;0.62;10.1;5 +6.8;0.68;0.09;3.9;0.068;15;29;0.99524;3.41;0.52;11.1;4 +9.7;0.69;0.32;2.5;0.088;22;91;0.9979;3.29;0.62;10.1;5 +7;0.62;0.1;1.4;0.071;27;63;0.996;3.28;0.61;9.2;5 +7.5;0.61;0.26;1.9;0.073;24;88;0.99612;3.3;0.53;9.8;5 +6.5;0.51;0.15;3;0.064;12;27;0.9929;3.33;0.59;12.8;6 +8;1.18;0.21;1.9;0.083;14;41;0.99532;3.34;0.47;10.5;5 +7;0.36;0.21;2.3;0.086;20;65;0.99558;3.4;0.54;10.1;6 +7;0.36;0.21;2.4;0.086;24;69;0.99556;3.4;0.53;10.1;6 +7.5;0.63;0.27;2;0.083;17;91;0.99616;3.26;0.58;9.8;6 +5.4;0.74;0;1.2;0.041;16;46;0.99258;4.01;0.59;12.5;6 +9.9;0.44;0.46;2.2;0.091;10;41;0.99638;3.18;0.69;11.9;6 +7.5;0.63;0.27;2;0.083;17;91;0.99616;3.26;0.58;9.8;6 +9.1;0.76;0.68;1.7;0.414;18;64;0.99652;2.9;1.33;9.1;6 +9.7;0.66;0.34;2.6;0.094;12;88;0.99796;3.26;0.66;10.1;5 +5;0.74;0;1.2;0.041;16;46;0.99258;4.01;0.59;12.5;6 +9.1;0.34;0.42;1.8;0.058;9;18;0.99392;3.18;0.55;11.4;5 +9.1;0.36;0.39;1.8;0.06;21;55;0.99495;3.18;0.82;11;7 +6.7;0.46;0.24;1.7;0.077;18;34;0.9948;3.39;0.6;10.6;6 +6.7;0.46;0.24;1.7;0.077;18;34;0.9948;3.39;0.6;10.6;6 +6.7;0.46;0.24;1.7;0.077;18;34;0.9948;3.39;0.6;10.6;6 +6.7;0.46;0.24;1.7;0.077;18;34;0.9948;3.39;0.6;10.6;6 +6.5;0.52;0.11;1.8;0.073;13;38;0.9955;3.34;0.52;9.3;5 +7.4;0.6;0.26;2.1;0.083;17;91;0.99616;3.29;0.56;9.8;6 +7.4;0.6;0.26;2.1;0.083;17;91;0.99616;3.29;0.56;9.8;6 +7.8;0.87;0.26;3.8;0.107;31;67;0.99668;3.26;0.46;9.2;5 +8.4;0.39;0.1;1.7;0.075;6;25;0.99581;3.09;0.43;9.7;6 +9.1;0.775;0.22;2.2;0.079;12;48;0.9976;3.18;0.51;9.6;5 +7.2;0.835;0;2;0.166;4;11;0.99608;3.39;0.52;10;5 +6.6;0.58;0.02;2.4;0.069;19;40;0.99387;3.38;0.66;12.6;6 +6;0.5;0;1.4;0.057;15;26;0.99448;3.36;0.45;9.5;5 +6;0.5;0;1.4;0.057;15;26;0.99448;3.36;0.45;9.5;5 +6;0.5;0;1.4;0.057;15;26;0.99448;3.36;0.45;9.5;5 +7.5;0.51;0.02;1.7;0.084;13;31;0.99538;3.36;0.54;10.5;6 +7.5;0.51;0.02;1.7;0.084;13;31;0.99538;3.36;0.54;10.5;6 +7.5;0.51;0.02;1.7;0.084;13;31;0.99538;3.36;0.54;10.5;6 +7.6;0.54;0.02;1.7;0.085;17;31;0.99589;3.37;0.51;10.4;6 +7.5;0.51;0.02;1.7;0.084;13;31;0.99538;3.36;0.54;10.5;6 +11.5;0.42;0.48;2.6;0.077;8;20;0.99852;3.09;0.53;11;5 +8.2;0.44;0.24;2.3;0.063;10;28;0.99613;3.25;0.53;10.2;6 +6.1;0.59;0.01;2.1;0.056;5;13;0.99472;3.52;0.56;11.4;5 +7.2;0.655;0.03;1.8;0.078;7;12;0.99587;3.34;0.39;9.5;5 +7.2;0.655;0.03;1.8;0.078;7;12;0.99587;3.34;0.39;9.5;5 +6.9;0.57;0;2.8;0.081;21;41;0.99518;3.41;0.52;10.8;5 +9;0.6;0.29;2;0.069;32;73;0.99654;3.34;0.57;10;5 +7.2;0.62;0.01;2.3;0.065;8;46;0.99332;3.32;0.51;11.8;6 +7.6;0.645;0.03;1.9;0.086;14;57;0.9969;3.37;0.46;10.3;5 +7.6;0.645;0.03;1.9;0.086;14;57;0.9969;3.37;0.46;10.3;5 +7.2;0.58;0.03;2.3;0.077;7;28;0.99568;3.35;0.52;10;5 +6.1;0.32;0.25;1.8;0.086;5;32;0.99464;3.36;0.44;10.1;5 +6.1;0.34;0.25;1.8;0.084;4;28;0.99464;3.36;0.44;10.1;5 +7.3;0.43;0.24;2.5;0.078;27;67;0.99648;3.6;0.59;11.1;6 +7.4;0.64;0.17;5.4;0.168;52;98;0.99736;3.28;0.5;9.5;5 +11.6;0.475;0.4;1.4;0.091;6;28;0.99704;3.07;0.65;10.0333333333333;6 +9.2;0.54;0.31;2.3;0.112;11;38;0.99699;3.24;0.56;10.9;5 +8.3;0.85;0.14;2.5;0.093;13;54;0.99724;3.36;0.54;10.1;5 +11.6;0.475;0.4;1.4;0.091;6;28;0.99704;3.07;0.65;10.0333333333333;6 +8;0.83;0.27;2;0.08;11;63;0.99652;3.29;0.48;9.8;4 +7.2;0.605;0.02;1.9;0.096;10;31;0.995;3.46;0.53;11.8;6 +7.8;0.5;0.09;2.2;0.115;10;42;0.9971;3.18;0.62;9.5;5 +7.3;0.74;0.08;1.7;0.094;10;45;0.99576;3.24;0.5;9.8;5 +6.9;0.54;0.3;2.2;0.088;9;105;0.99725;3.25;1.18;10.5;6 +8;0.77;0.32;2.1;0.079;16;74;0.99656;3.27;0.5;9.8;6 +6.6;0.61;0;1.6;0.069;4;8;0.99396;3.33;0.37;10.4;4 +8.7;0.78;0.51;1.7;0.415;12;66;0.99623;3;1.17;9.2;5 +7.5;0.58;0.56;3.1;0.153;5;14;0.99476;3.21;1.03;11.6;6 +8.7;0.78;0.51;1.7;0.415;12;66;0.99623;3;1.17;9.2;5 +7.7;0.75;0.27;3.8;0.11;34;89;0.99664;3.24;0.45;9.3;5 +6.8;0.815;0;1.2;0.267;16;29;0.99471;3.32;0.51;9.8;3 +7.2;0.56;0.26;2;0.083;13;100;0.99586;3.26;0.52;9.9;5 +8.2;0.885;0.2;1.4;0.086;7;31;0.9946;3.11;0.46;10;5 +5.2;0.49;0.26;2.3;0.09;23;74;0.9953;3.71;0.62;12.2;6 +7.2;0.45;0.15;2;0.078;10;28;0.99609;3.29;0.51;9.9;6 +7.5;0.57;0.02;2.6;0.077;11;35;0.99557;3.36;0.62;10.8;6 +7.5;0.57;0.02;2.6;0.077;11;35;0.99557;3.36;0.62;10.8;6 +6.8;0.83;0.09;1.8;0.074;4;25;0.99534;3.38;0.45;9.6;5 +8;0.6;0.22;2.1;0.08;25;105;0.99613;3.3;0.49;9.9;5 +8;0.6;0.22;2.1;0.08;25;105;0.99613;3.3;0.49;9.9;5 +7.1;0.755;0.15;1.8;0.107;20;84;0.99593;3.19;0.5;9.5;5 +8;0.81;0.25;3.4;0.076;34;85;0.99668;3.19;0.42;9.2;5 +7.4;0.64;0.07;1.8;0.1;8;23;0.9961;3.3;0.58;9.6;5 +7.4;0.64;0.07;1.8;0.1;8;23;0.9961;3.3;0.58;9.6;5 +6.6;0.64;0.31;6.1;0.083;7;49;0.99718;3.35;0.68;10.3;5 +6.7;0.48;0.02;2.2;0.08;36;111;0.99524;3.1;0.53;9.7;5 +6;0.49;0;2.3;0.068;15;33;0.99292;3.58;0.59;12.5;6 +8;0.64;0.22;2.4;0.094;5;33;0.99612;3.37;0.58;11;5 +7.1;0.62;0.06;1.3;0.07;5;12;0.9942;3.17;0.48;9.8;5 +8;0.52;0.25;2;0.078;19;59;0.99612;3.3;0.48;10.2;5 +6.4;0.57;0.14;3.9;0.07;27;73;0.99669;3.32;0.48;9.2;5 +8.6;0.685;0.1;1.6;0.092;3;12;0.99745;3.31;0.65;9.55;6 +8.7;0.675;0.1;1.6;0.09;4;11;0.99745;3.31;0.65;9.55;5 +7.3;0.59;0.26;2;0.08;17;104;0.99584;3.28;0.52;9.9;5 +7;0.6;0.12;2.2;0.083;13;28;0.9966;3.52;0.62;10.2;7 +7.2;0.67;0;2.2;0.068;10;24;0.9956;3.42;0.72;11.1;6 +7.9;0.69;0.21;2.1;0.08;33;141;0.9962;3.25;0.51;9.9;5 +7.9;0.69;0.21;2.1;0.08;33;141;0.9962;3.25;0.51;9.9;5 +7.6;0.3;0.42;2;0.052;6;24;0.9963;3.44;0.82;11.9;6 +7.2;0.33;0.33;1.7;0.061;3;13;0.996;3.23;1.1;10;8 +8;0.5;0.39;2.6;0.082;12;46;0.9985;3.43;0.62;10.7;6 +7.7;0.28;0.3;2;0.062;18;34;0.9952;3.28;0.9;11.3;7 +8.2;0.24;0.34;5.1;0.062;8;22;0.9974;3.22;0.94;10.9;6 +6;0.51;0;2.1;0.064;40;54;0.995;3.54;0.93;10.7;6 +8.1;0.29;0.36;2.2;0.048;35;53;0.995;3.27;1.01;12.4;7 +6;0.51;0;2.1;0.064;40;54;0.995;3.54;0.93;10.7;6 +6.6;0.96;0;1.8;0.082;5;16;0.9936;3.5;0.44;11.9;6 +6.4;0.47;0.4;2.4;0.071;8;19;0.9963;3.56;0.73;10.6;6 +8.2;0.24;0.34;5.1;0.062;8;22;0.9974;3.22;0.94;10.9;6 +9.9;0.57;0.25;2;0.104;12;89;0.9963;3.04;0.9;10.1;5 +10;0.32;0.59;2.2;0.077;3;15;0.9994;3.2;0.78;9.6;5 +6.2;0.58;0;1.6;0.065;8;18;0.9966;3.56;0.84;9.4;5 +10;0.32;0.59;2.2;0.077;3;15;0.9994;3.2;0.78;9.6;5 +7.3;0.34;0.33;2.5;0.064;21;37;0.9952;3.35;0.77;12.1;7 +7.8;0.53;0.01;1.6;0.077;3;19;0.995;3.16;0.46;9.8;5 +7.7;0.64;0.21;2.2;0.077;32;133;0.9956;3.27;0.45;9.9;5 +7.8;0.53;0.01;1.6;0.077;3;19;0.995;3.16;0.46;9.8;5 +7.5;0.4;0.18;1.6;0.079;24;58;0.9965;3.34;0.58;9.4;5 +7;0.54;0;2.1;0.079;39;55;0.9956;3.39;0.84;11.4;6 +6.4;0.53;0.09;3.9;0.123;14;31;0.9968;3.5;0.67;11;4 +8.3;0.26;0.37;1.4;0.076;8;23;0.9974;3.26;0.7;9.6;6 +8.3;0.26;0.37;1.4;0.076;8;23;0.9974;3.26;0.7;9.6;6 +7.7;0.23;0.37;1.8;0.046;23;60;0.9971;3.41;0.71;12.1;6 +7.6;0.41;0.33;2.5;0.078;6;23;0.9957;3.3;0.58;11.2;5 +7.8;0.64;0;1.9;0.072;27;55;0.9962;3.31;0.63;11;5 +7.9;0.18;0.4;2.2;0.049;38;67;0.996;3.33;0.93;11.3;5 +7.4;0.41;0.24;1.8;0.066;18;47;0.9956;3.37;0.62;10.4;5 +7.6;0.43;0.31;2.1;0.069;13;74;0.9958;3.26;0.54;9.9;6 +5.9;0.44;0;1.6;0.042;3;11;0.9944;3.48;0.85;11.7;6 +6.1;0.4;0.16;1.8;0.069;11;25;0.9955;3.42;0.74;10.1;7 +10.2;0.54;0.37;15.4;0.214;55;95;1.00369;3.18;0.77;9;6 +10.2;0.54;0.37;15.4;0.214;55;95;1.00369;3.18;0.77;9;6 +10;0.38;0.38;1.6;0.169;27;90;0.99914;3.15;0.65;8.5;5 +6.8;0.915;0.29;4.8;0.07;15;39;0.99577;3.53;0.54;11.1;5 +7;0.59;0;1.7;0.052;3;8;0.996;3.41;0.47;10.3;5 +7.3;0.67;0.02;2.2;0.072;31;92;0.99566;3.32;0.68;11.0666666666667;6 +7.2;0.37;0.32;2;0.062;15;28;0.9947;3.23;0.73;11.3;7 +7.4;0.785;0.19;5.2;0.094;19;98;0.99713;3.16;0.52;9.56666666666667;6 +6.9;0.63;0.02;1.9;0.078;18;30;0.99712;3.4;0.75;9.8;5 +6.9;0.58;0.2;1.75;0.058;8;22;0.99322;3.38;0.49;11.7;5 +7.3;0.67;0.02;2.2;0.072;31;92;0.99566;3.32;0.68;11.1;6 +7.4;0.785;0.19;5.2;0.094;19;98;0.99713;3.16;0.52;9.6;6 +6.9;0.63;0.02;1.9;0.078;18;30;0.99712;3.4;0.75;9.8;5 +6.8;0.67;0;1.9;0.08;22;39;0.99701;3.4;0.74;9.7;5 +6.9;0.58;0.01;1.9;0.08;40;54;0.99683;3.4;0.73;9.7;5 +7.2;0.38;0.31;2;0.056;15;29;0.99472;3.23;0.76;11.3;8 +7.2;0.37;0.32;2;0.062;15;28;0.9947;3.23;0.73;11.3;7 +7.8;0.32;0.44;2.7;0.104;8;17;0.99732;3.33;0.78;11;7 +6.6;0.58;0.02;2;0.062;37;53;0.99374;3.35;0.76;11.6;7 +7.6;0.49;0.33;1.9;0.074;27;85;0.99706;3.41;0.58;9;5 +11.7;0.45;0.63;2.2;0.073;7;23;0.99974;3.21;0.69;10.9;6 +6.5;0.9;0;1.6;0.052;9;17;0.99467;3.5;0.63;10.9;6 +6;0.54;0.06;1.8;0.05;38;89;0.99236;3.3;0.5;10.55;6 +7.6;0.49;0.33;1.9;0.074;27;85;0.99706;3.41;0.58;9;5 +8.4;0.29;0.4;1.7;0.067;8;20;0.99603;3.39;0.6;10.5;5 +7.9;0.2;0.35;1.7;0.054;7;15;0.99458;3.32;0.8;11.9;7 +6.4;0.42;0.09;2.3;0.054;34;64;0.99724;3.41;0.68;10.4;6 +6.2;0.785;0;2.1;0.06;6;13;0.99664;3.59;0.61;10;4 +6.8;0.64;0.03;2.3;0.075;14;31;0.99545;3.36;0.58;10.4;6 +6.9;0.63;0.01;2.4;0.076;14;39;0.99522;3.34;0.53;10.8;6 +6.8;0.59;0.1;1.7;0.063;34;53;0.9958;3.41;0.67;9.7;5 +6.8;0.59;0.1;1.7;0.063;34;53;0.9958;3.41;0.67;9.7;5 +7.3;0.48;0.32;2.1;0.062;31;54;0.99728;3.3;0.65;10;7 +6.7;1.04;0.08;2.3;0.067;19;32;0.99648;3.52;0.57;11;4 +7.3;0.48;0.32;2.1;0.062;31;54;0.99728;3.3;0.65;10;7 +7.3;0.98;0.05;2.1;0.061;20;49;0.99705;3.31;0.55;9.7;3 +10;0.69;0.11;1.4;0.084;8;24;0.99578;2.88;0.47;9.7;5 +6.7;0.7;0.08;3.75;0.067;8;16;0.99334;3.43;0.52;12.6;5 +7.6;0.35;0.6;2.6;0.073;23;44;0.99656;3.38;0.79;11.1;6 +6.1;0.6;0.08;1.8;0.071;14;45;0.99336;3.38;0.54;11;5 +9.9;0.5;0.5;13.8;0.205;48;82;1.00242;3.16;0.75;8.8;5 +5.3;0.47;0.11;2.2;0.048;16;89;0.99182;3.54;0.88;13.5666666666667;7 +9.9;0.5;0.5;13.8;0.205;48;82;1.00242;3.16;0.75;8.8;5 +5.3;0.47;0.11;2.2;0.048;16;89;0.99182;3.54;0.88;13.6;7 +7.1;0.875;0.05;5.7;0.082;3;14;0.99808;3.4;0.52;10.2;3 +8.2;0.28;0.6;3;0.104;10;22;0.99828;3.39;0.68;10.6;5 +5.6;0.62;0.03;1.5;0.08;6;13;0.99498;3.66;0.62;10.1;4 +8.2;0.28;0.6;3;0.104;10;22;0.99828;3.39;0.68;10.6;5 +7.2;0.58;0.54;2.1;0.114;3;9;0.99719;3.33;0.57;10.3;4 +8.1;0.33;0.44;1.5;0.042;6;12;0.99542;3.35;0.61;10.7;5 +6.8;0.91;0.06;2;0.06;4;11;0.99592;3.53;0.64;10.9;4 +7;0.655;0.16;2.1;0.074;8;25;0.99606;3.37;0.55;9.7;5 +6.8;0.68;0.21;2.1;0.07;9;23;0.99546;3.38;0.6;10.3;5 +6;0.64;0.05;1.9;0.066;9;17;0.99496;3.52;0.78;10.6;5 +5.6;0.54;0.04;1.7;0.049;5;13;0.9942;3.72;0.58;11.4;5 +6.2;0.57;0.1;2.1;0.048;4;11;0.99448;3.44;0.76;10.8;6 +7.1;0.22;0.49;1.8;0.039;8;18;0.99344;3.39;0.56;12.4;6 +5.6;0.54;0.04;1.7;0.049;5;13;0.9942;3.72;0.58;11.4;5 +6.2;0.65;0.06;1.6;0.05;6;18;0.99348;3.57;0.54;11.95;5 +7.7;0.54;0.26;1.9;0.089;23;147;0.99636;3.26;0.59;9.7;5 +6.4;0.31;0.09;1.4;0.066;15;28;0.99459;3.42;0.7;10;7 +7;0.43;0.02;1.9;0.08;15;28;0.99492;3.35;0.81;10.6;6 +7.7;0.54;0.26;1.9;0.089;23;147;0.99636;3.26;0.59;9.7;5 +6.9;0.74;0.03;2.3;0.054;7;16;0.99508;3.45;0.63;11.5;6 +6.6;0.895;0.04;2.3;0.068;7;13;0.99582;3.53;0.58;10.8;6 +6.9;0.74;0.03;2.3;0.054;7;16;0.99508;3.45;0.63;11.5;6 +7.5;0.725;0.04;1.5;0.076;8;15;0.99508;3.26;0.53;9.6;5 +7.8;0.82;0.29;4.3;0.083;21;64;0.99642;3.16;0.53;9.4;5 +7.3;0.585;0.18;2.4;0.078;15;60;0.99638;3.31;0.54;9.8;5 +6.2;0.44;0.39;2.5;0.077;6;14;0.99555;3.51;0.69;11;6 +7.5;0.38;0.57;2.3;0.106;5;12;0.99605;3.36;0.55;11.4;6 +6.7;0.76;0.02;1.8;0.078;6;12;0.996;3.55;0.63;9.95;3 +6.8;0.81;0.05;2;0.07;6;14;0.99562;3.51;0.66;10.8;6 +7.5;0.38;0.57;2.3;0.106;5;12;0.99605;3.36;0.55;11.4;6 +7.1;0.27;0.6;2.1;0.074;17;25;0.99814;3.38;0.72;10.6;6 +7.9;0.18;0.4;1.8;0.062;7;20;0.9941;3.28;0.7;11.1;5 +6.4;0.36;0.21;2.2;0.047;26;48;0.99661;3.47;0.77;9.7;6 +7.1;0.69;0.04;2.1;0.068;19;27;0.99712;3.44;0.67;9.8;5 +6.4;0.79;0.04;2.2;0.061;11;17;0.99588;3.53;0.65;10.4;6 +6.4;0.56;0.15;1.8;0.078;17;65;0.99294;3.33;0.6;10.5;6 +6.9;0.84;0.21;4.1;0.074;16;65;0.99842;3.53;0.72;9.23333333333333;6 +6.9;0.84;0.21;4.1;0.074;16;65;0.99842;3.53;0.72;9.25;6 +6.1;0.32;0.25;2.3;0.071;23;58;0.99633;3.42;0.97;10.6;5 +6.5;0.53;0.06;2;0.063;29;44;0.99489;3.38;0.83;10.3;6 +7.4;0.47;0.46;2.2;0.114;7;20;0.99647;3.32;0.63;10.5;5 +6.6;0.7;0.08;2.6;0.106;14;27;0.99665;3.44;0.58;10.2;5 +6.5;0.53;0.06;2;0.063;29;44;0.99489;3.38;0.83;10.3;6 +6.9;0.48;0.2;1.9;0.082;9;23;0.99585;3.39;0.43;9.05;4 +6.1;0.32;0.25;2.3;0.071;23;58;0.99633;3.42;0.97;10.6;5 +6.8;0.48;0.25;2;0.076;29;61;0.9953;3.34;0.6;10.4;5 +6;0.42;0.19;2;0.075;22;47;0.99522;3.39;0.78;10;6 +6.7;0.48;0.08;2.1;0.064;18;34;0.99552;3.33;0.64;9.7;5 +6.8;0.47;0.08;2.2;0.064;18;38;0.99553;3.3;0.65;9.6;6 +7.1;0.53;0.07;1.7;0.071;15;24;0.9951;3.29;0.66;10.8;6 +7.9;0.29;0.49;2.2;0.096;21;59;0.99714;3.31;0.67;10.1;6 +7.1;0.69;0.08;2.1;0.063;42;52;0.99608;3.42;0.6;10.2;6 +6.6;0.44;0.09;2.2;0.063;9;18;0.99444;3.42;0.69;11.3;6 +6.1;0.705;0.1;2.8;0.081;13;28;0.99631;3.6;0.66;10.2;5 +7.2;0.53;0.13;2;0.058;18;22;0.99573;3.21;0.68;9.9;6 +8;0.39;0.3;1.9;0.074;32;84;0.99717;3.39;0.61;9;5 +6.6;0.56;0.14;2.4;0.064;13;29;0.99397;3.42;0.62;11.7;7 +7;0.55;0.13;2.2;0.075;15;35;0.9959;3.36;0.59;9.7;6 +6.1;0.53;0.08;1.9;0.077;24;45;0.99528;3.6;0.68;10.3;6 +5.4;0.58;0.08;1.9;0.059;20;31;0.99484;3.5;0.64;10.2;6 +6.2;0.64;0.09;2.5;0.081;15;26;0.99538;3.57;0.63;12;5 +7.2;0.39;0.32;1.8;0.065;34;60;0.99714;3.46;0.78;9.9;5 +6.2;0.52;0.08;4.4;0.071;11;32;0.99646;3.56;0.63;11.6;6 +7.4;0.25;0.29;2.2;0.054;19;49;0.99666;3.4;0.76;10.9;7 +6.7;0.855;0.02;1.9;0.064;29;38;0.99472;3.3;0.56;10.75;6 +11.1;0.44;0.42;2.2;0.064;14;19;0.99758;3.25;0.57;10.4;6 +8.4;0.37;0.43;2.3;0.063;12;19;0.9955;3.17;0.81;11.2;7 +6.5;0.63;0.33;1.8;0.059;16;28;0.99531;3.36;0.64;10.1;6 +7;0.57;0.02;2;0.072;17;26;0.99575;3.36;0.61;10.2;5 +6.3;0.6;0.1;1.6;0.048;12;26;0.99306;3.55;0.51;12.1;5 +11.2;0.4;0.5;2;0.099;19;50;0.99783;3.1;0.58;10.4;5 +7.4;0.36;0.3;1.8;0.074;17;24;0.99419;3.24;0.7;11.4;8 +7.1;0.68;0;2.3;0.087;17;26;0.99783;3.45;0.53;9.5;5 +7.1;0.67;0;2.3;0.083;18;27;0.99768;3.44;0.54;9.4;5 +6.3;0.68;0.01;3.7;0.103;32;54;0.99586;3.51;0.66;11.3;6 +7.3;0.735;0;2.2;0.08;18;28;0.99765;3.41;0.6;9.4;5 +6.6;0.855;0.02;2.4;0.062;15;23;0.99627;3.54;0.6;11;6 +7;0.56;0.17;1.7;0.065;15;24;0.99514;3.44;0.68;10.55;7 +6.6;0.88;0.04;2.2;0.066;12;20;0.99636;3.53;0.56;9.9;5 +6.6;0.855;0.02;2.4;0.062;15;23;0.99627;3.54;0.6;11;6 +6.9;0.63;0.33;6.7;0.235;66;115;0.99787;3.22;0.56;9.5;5 +7.8;0.6;0.26;2;0.08;31;131;0.99622;3.21;0.52;9.9;5 +7.8;0.6;0.26;2;0.08;31;131;0.99622;3.21;0.52;9.9;5 +7.8;0.6;0.26;2;0.08;31;131;0.99622;3.21;0.52;9.9;5 +7.2;0.695;0.13;2;0.076;12;20;0.99546;3.29;0.54;10.1;5 +7.2;0.695;0.13;2;0.076;12;20;0.99546;3.29;0.54;10.1;5 +7.2;0.695;0.13;2;0.076;12;20;0.99546;3.29;0.54;10.1;5 +6.7;0.67;0.02;1.9;0.061;26;42;0.99489;3.39;0.82;10.9;6 +6.7;0.16;0.64;2.1;0.059;24;52;0.99494;3.34;0.71;11.2;6 +7.2;0.695;0.13;2;0.076;12;20;0.99546;3.29;0.54;10.1;5 +7;0.56;0.13;1.6;0.077;25;42;0.99629;3.34;0.59;9.2;5 +6.2;0.51;0.14;1.9;0.056;15;34;0.99396;3.48;0.57;11.5;6 +6.4;0.36;0.53;2.2;0.23;19;35;0.9934;3.37;0.93;12.4;6 +6.4;0.38;0.14;2.2;0.038;15;25;0.99514;3.44;0.65;11.1;6 +7.3;0.69;0.32;2.2;0.069;35;104;0.99632;3.33;0.51;9.5;5 +6;0.58;0.2;2.4;0.075;15;50;0.99467;3.58;0.67;12.5;6 +5.6;0.31;0.78;13.9;0.074;23;92;0.99677;3.39;0.48;10.5;6 +7.5;0.52;0.4;2.2;0.06;12;20;0.99474;3.26;0.64;11.8;6 +8;0.3;0.63;1.6;0.081;16;29;0.99588;3.3;0.78;10.8;6 +6.2;0.7;0.15;5.1;0.076;13;27;0.99622;3.54;0.6;11.9;6 +6.8;0.67;0.15;1.8;0.118;13;20;0.9954;3.42;0.67;11.3;6 +6.2;0.56;0.09;1.7;0.053;24;32;0.99402;3.54;0.6;11.3;5 +7.4;0.35;0.33;2.4;0.068;9;26;0.9947;3.36;0.6;11.9;6 +6.2;0.56;0.09;1.7;0.053;24;32;0.99402;3.54;0.6;11.3;5 +6.1;0.715;0.1;2.6;0.053;13;27;0.99362;3.57;0.5;11.9;5 +6.2;0.46;0.29;2.1;0.074;32;98;0.99578;3.33;0.62;9.8;5 +6.7;0.32;0.44;2.4;0.061;24;34;0.99484;3.29;0.8;11.6;7 +7.2;0.39;0.44;2.6;0.066;22;48;0.99494;3.3;0.84;11.5;6 +7.5;0.31;0.41;2.4;0.065;34;60;0.99492;3.34;0.85;11.4;6 +5.8;0.61;0.11;1.8;0.066;18;28;0.99483;3.55;0.66;10.9;6 +7.2;0.66;0.33;2.5;0.068;34;102;0.99414;3.27;0.78;12.8;6 +6.6;0.725;0.2;7.8;0.073;29;79;0.9977;3.29;0.54;9.2;5 +6.3;0.55;0.15;1.8;0.077;26;35;0.99314;3.32;0.82;11.6;6 +5.4;0.74;0.09;1.7;0.089;16;26;0.99402;3.67;0.56;11.6;6 +6.3;0.51;0.13;2.3;0.076;29;40;0.99574;3.42;0.75;11;6 +6.8;0.62;0.08;1.9;0.068;28;38;0.99651;3.42;0.82;9.5;6 +6.2;0.6;0.08;2;0.09;32;44;0.9949;3.45;0.58;10.5;5 +5.9;0.55;0.1;2.2;0.062;39;51;0.99512;3.52;0.76;11.2;6 +6.3;0.51;0.13;2.3;0.076;29;40;0.99574;3.42;0.75;11;6 +5.9;0.645;0.12;2;0.075;32;44;0.99547;3.57;0.71;10.2;5 +6;0.31;0.47;3.6;0.067;18;42;0.99549;3.39;0.66;11;6 diff --git a/sagemaker-exercises/data/winequality-white.csv b/sagemaker-exercises/data/winequality-white.csv new file mode 100644 index 0000000..3c4d554 --- /dev/null +++ b/sagemaker-exercises/data/winequality-white.csv @@ -0,0 +1,4899 @@ +"fixed acidity";"volatile acidity";"citric acid";"residual sugar";"chlorides";"free sulfur dioxide";"total sulfur dioxide";"density";"pH";"sulphates";"alcohol";"quality" +7;0.27;0.36;20.7;0.045;45;170;1.001;3;0.45;8.8;6 +6.3;0.3;0.34;1.6;0.049;14;132;0.994;3.3;0.49;9.5;6 +8.1;0.28;0.4;6.9;0.05;30;97;0.9951;3.26;0.44;10.1;6 +7.2;0.23;0.32;8.5;0.058;47;186;0.9956;3.19;0.4;9.9;6 +7.2;0.23;0.32;8.5;0.058;47;186;0.9956;3.19;0.4;9.9;6 +8.1;0.28;0.4;6.9;0.05;30;97;0.9951;3.26;0.44;10.1;6 +6.2;0.32;0.16;7;0.045;30;136;0.9949;3.18;0.47;9.6;6 +7;0.27;0.36;20.7;0.045;45;170;1.001;3;0.45;8.8;6 +6.3;0.3;0.34;1.6;0.049;14;132;0.994;3.3;0.49;9.5;6 +8.1;0.22;0.43;1.5;0.044;28;129;0.9938;3.22;0.45;11;6 +8.1;0.27;0.41;1.45;0.033;11;63;0.9908;2.99;0.56;12;5 +8.6;0.23;0.4;4.2;0.035;17;109;0.9947;3.14;0.53;9.7;5 +7.9;0.18;0.37;1.2;0.04;16;75;0.992;3.18;0.63;10.8;5 +6.6;0.16;0.4;1.5;0.044;48;143;0.9912;3.54;0.52;12.4;7 +8.3;0.42;0.62;19.25;0.04;41;172;1.0002;2.98;0.67;9.7;5 +6.6;0.17;0.38;1.5;0.032;28;112;0.9914;3.25;0.55;11.4;7 +6.3;0.48;0.04;1.1;0.046;30;99;0.9928;3.24;0.36;9.6;6 +6.2;0.66;0.48;1.2;0.029;29;75;0.9892;3.33;0.39;12.8;8 +7.4;0.34;0.42;1.1;0.033;17;171;0.9917;3.12;0.53;11.3;6 +6.5;0.31;0.14;7.5;0.044;34;133;0.9955;3.22;0.5;9.5;5 +6.2;0.66;0.48;1.2;0.029;29;75;0.9892;3.33;0.39;12.8;8 +6.4;0.31;0.38;2.9;0.038;19;102;0.9912;3.17;0.35;11;7 +6.8;0.26;0.42;1.7;0.049;41;122;0.993;3.47;0.48;10.5;8 +7.6;0.67;0.14;1.5;0.074;25;168;0.9937;3.05;0.51;9.3;5 +6.6;0.27;0.41;1.3;0.052;16;142;0.9951;3.42;0.47;10;6 +7;0.25;0.32;9;0.046;56;245;0.9955;3.25;0.5;10.4;6 +6.9;0.24;0.35;1;0.052;35;146;0.993;3.45;0.44;10;6 +7;0.28;0.39;8.7;0.051;32;141;0.9961;3.38;0.53;10.5;6 +7.4;0.27;0.48;1.1;0.047;17;132;0.9914;3.19;0.49;11.6;6 +7.2;0.32;0.36;2;0.033;37;114;0.9906;3.1;0.71;12.3;7 +8.5;0.24;0.39;10.4;0.044;20;142;0.9974;3.2;0.53;10;6 +8.3;0.14;0.34;1.1;0.042;7;47;0.9934;3.47;0.4;10.2;6 +7.4;0.25;0.36;2.05;0.05;31;100;0.992;3.19;0.44;10.8;6 +6.2;0.12;0.34;1.5;0.045;43;117;0.9939;3.42;0.51;9;6 +5.8;0.27;0.2;14.95;0.044;22;179;0.9962;3.37;0.37;10.2;5 +7.3;0.28;0.43;1.7;0.08;21;123;0.9905;3.19;0.42;12.8;5 +6.5;0.39;0.23;5.4;0.051;25;149;0.9934;3.24;0.35;10;5 +7;0.33;0.32;1.2;0.053;38;138;0.9906;3.13;0.28;11.2;6 +7.3;0.24;0.39;17.95;0.057;45;149;0.9999;3.21;0.36;8.6;5 +7.3;0.24;0.39;17.95;0.057;45;149;0.9999;3.21;0.36;8.6;5 +6.7;0.23;0.39;2.5;0.172;63;158;0.9937;3.11;0.36;9.4;6 +6.7;0.24;0.39;2.9;0.173;63;157;0.9937;3.1;0.34;9.4;6 +7;0.31;0.26;7.4;0.069;28;160;0.9954;3.13;0.46;9.8;6 +6.6;0.24;0.27;1.4;0.057;33;152;0.9934;3.22;0.56;9.5;6 +6.7;0.23;0.26;1.4;0.06;33;154;0.9934;3.24;0.56;9.5;6 +7.4;0.18;0.31;1.4;0.058;38;167;0.9931;3.16;0.53;10;7 +6.2;0.45;0.26;4.4;0.063;63;206;0.994;3.27;0.52;9.8;4 +6.2;0.46;0.25;4.4;0.066;62;207;0.9939;3.25;0.52;9.8;5 +7;0.31;0.26;7.4;0.069;28;160;0.9954;3.13;0.46;9.8;6 +6.9;0.19;0.35;5;0.067;32;150;0.995;3.36;0.48;9.8;5 +7.2;0.19;0.31;1.6;0.062;31;173;0.9917;3.35;0.44;11.7;6 +6.6;0.25;0.29;1.1;0.068;39;124;0.9914;3.34;0.58;11;7 +6.2;0.16;0.33;1.1;0.057;21;82;0.991;3.32;0.46;10.9;7 +6.4;0.18;0.35;1;0.045;39;108;0.9911;3.31;0.35;10.9;6 +6.8;0.2;0.59;0.9;0.147;38;132;0.993;3.05;0.38;9.1;6 +6.9;0.25;0.35;1.3;0.039;29;191;0.9908;3.13;0.52;11;6 +7.2;0.21;0.34;11.9;0.043;37;213;0.9962;3.09;0.5;9.6;6 +6;0.19;0.26;12.4;0.048;50;147;0.9972;3.3;0.36;8.9;6 +6.6;0.38;0.15;4.6;0.044;25;78;0.9931;3.11;0.38;10.2;6 +7.4;0.2;0.36;1.2;0.038;44;111;0.9926;3.36;0.34;9.9;6 +6.8;0.22;0.24;4.9;0.092;30;123;0.9951;3.03;0.46;8.6;6 +6;0.19;0.26;12.4;0.048;50;147;0.9972;3.3;0.36;8.9;6 +7;0.47;0.07;1.1;0.035;17;151;0.991;3.02;0.34;10.5;5 +6.6;0.38;0.15;4.6;0.044;25;78;0.9931;3.11;0.38;10.2;6 +7.2;0.24;0.27;1.4;0.038;31;122;0.9927;3.15;0.46;10.3;6 +6.2;0.35;0.03;1.2;0.064;29;120;0.9934;3.22;0.54;9.1;5 +6.4;0.26;0.24;6.4;0.04;27;124;0.9903;3.22;0.49;12.6;7 +6.7;0.25;0.13;1.2;0.041;81;174;0.992;3.14;0.42;9.8;5 +6.7;0.23;0.31;2.1;0.046;30;96;0.9926;3.33;0.64;10.7;8 +7.4;0.24;0.29;10.1;0.05;21;105;0.9962;3.13;0.35;9.5;5 +6.2;0.27;0.43;7.8;0.056;48;244;0.9956;3.1;0.51;9;6 +6.8;0.3;0.23;4.6;0.061;50.5;238.5;0.9958;3.32;0.6;9.5;5 +6;0.27;0.28;4.8;0.063;31;201;0.9964;3.69;0.71;10;5 +8.6;0.23;0.46;1;0.054;9;72;0.9941;2.95;0.49;9.1;6 +6.7;0.23;0.31;2.1;0.046;30;96;0.9926;3.33;0.64;10.7;8 +7.4;0.24;0.29;10.1;0.05;21;105;0.9962;3.13;0.35;9.5;5 +7.1;0.18;0.36;1.4;0.043;31;87;0.9898;3.26;0.37;12.7;7 +7;0.32;0.34;1.3;0.042;20;69;0.9912;3.31;0.65;12;7 +7.4;0.18;0.3;8.8;0.064;26;103;0.9961;2.94;0.56;9.3;5 +6.7;0.54;0.28;5.4;0.06;21;105;0.9949;3.27;0.37;9;5 +6.8;0.22;0.31;1.4;0.053;34;114;0.9929;3.39;0.77;10.6;6 +7.1;0.2;0.34;16;0.05;51;166;0.9985;3.21;0.6;9.2;6 +7.1;0.34;0.2;6.1;0.063;47;164;0.9946;3.17;0.42;10;5 +7.3;0.22;0.3;8.2;0.047;42;207;0.9966;3.33;0.46;9.5;6 +7.1;0.43;0.61;11.8;0.045;54;155;0.9974;3.11;0.45;8.7;5 +7.1;0.44;0.62;11.8;0.044;52;152;0.9975;3.12;0.46;8.7;6 +7.2;0.39;0.63;11;0.044;55;156;0.9974;3.09;0.44;8.7;6 +6.8;0.25;0.31;13.3;0.05;69;202;0.9972;3.22;0.48;9.7;6 +7.1;0.43;0.61;11.8;0.045;54;155;0.9974;3.11;0.45;8.7;5 +7.1;0.44;0.62;11.8;0.044;52;152;0.9975;3.12;0.46;8.7;6 +7.2;0.39;0.63;11;0.044;55;156;0.9974;3.09;0.44;8.7;6 +6.1;0.27;0.43;7.5;0.049;65;243;0.9957;3.12;0.47;9;5 +6.9;0.24;0.33;1.7;0.035;47;136;0.99;3.26;0.4;12.6;7 +6.9;0.21;0.33;1.8;0.034;48;136;0.9899;3.25;0.41;12.6;7 +7.5;0.17;0.32;1.7;0.04;51;148;0.9916;3.21;0.44;11.5;7 +7.1;0.26;0.29;12.4;0.044;62;240;0.9969;3.04;0.42;9.2;6 +6;0.34;0.66;15.9;0.046;26;164;0.9979;3.14;0.5;8.8;6 +8.6;0.265;0.36;1.2;0.034;15;80;0.9913;2.95;0.36;11.4;7 +9.8;0.36;0.46;10.5;0.038;4;83;0.9956;2.89;0.3;10.1;4 +6;0.34;0.66;15.9;0.046;26;164;0.9979;3.14;0.5;8.8;6 +7.4;0.25;0.37;13.5;0.06;52;192;0.9975;3;0.44;9.1;5 +7.1;0.12;0.32;9.6;0.054;64;162;0.9962;3.4;0.41;9.4;5 +6;0.21;0.24;12.1;0.05;55;164;0.997;3.34;0.39;9.4;5 +7.5;0.305;0.4;18.9;0.059;44;170;1;2.99;0.46;9;5 +7.4;0.25;0.37;13.5;0.06;52;192;0.9975;3;0.44;9.1;5 +7.3;0.13;0.32;14.4;0.051;34;109;0.9974;3.2;0.35;9.2;6 +7.1;0.12;0.32;9.6;0.054;64;162;0.9962;3.4;0.41;9.4;5 +7.1;0.23;0.35;16.5;0.04;60;171;0.999;3.16;0.59;9.1;6 +7.1;0.23;0.35;16.5;0.04;60;171;0.999;3.16;0.59;9.1;6 +6.9;0.33;0.28;1.3;0.051;37;187;0.9927;3.27;0.6;10.3;5 +6.5;0.17;0.54;8.5;0.082;64;163;0.9959;2.89;0.39;8.8;6 +7.2;0.27;0.46;18.75;0.052;45;255;1;3.04;0.52;8.9;5 +7.2;0.31;0.5;13.3;0.056;68;195;0.9982;3.01;0.47;9.2;5 +6.7;0.41;0.34;9.2;0.049;29;150;0.9968;3.22;0.51;9.1;5 +6.7;0.41;0.34;9.2;0.049;29;150;0.9968;3.22;0.51;9.1;5 +5.5;0.485;0;1.5;0.065;8;103;0.994;3.63;0.4;9.7;4 +6;0.31;0.24;3.3;0.041;25;143;0.9914;3.31;0.44;11.3;6 +7;0.14;0.4;1.7;0.035;16;85;0.9911;3.19;0.42;11.8;6 +7.2;0.31;0.5;13.3;0.056;68;195;0.9982;3.01;0.47;9.2;5 +7.3;0.32;0.48;13.3;0.06;57;196;0.9982;3.04;0.5;9.2;5 +5.9;0.36;0.04;5.7;0.046;21;87;0.9934;3.22;0.51;10.2;5 +7.8;0.24;0.32;12.2;0.054;42;138;0.9984;3.01;0.54;8.8;5 +7.4;0.16;0.31;6.85;0.059;31;131;0.9952;3.29;0.34;9.7;5 +6.9;0.19;0.28;5;0.058;14;146;0.9952;3.29;0.36;9.1;6 +6.4;0.13;0.47;1.6;0.092;40;158;0.9928;3.21;0.36;9.8;6 +6.7;0.19;0.36;1.1;0.026;63;143;0.9912;3.27;0.48;11;6 +7.4;0.39;0.23;7;0.033;29;126;0.994;3.14;0.42;10.5;5 +6.5;0.24;0.32;7.6;0.038;48;203;0.9958;3.45;0.54;9.7;7 +6.1;0.3;0.56;2.8;0.044;47;179;0.9924;3.3;0.57;10.9;7 +6.1;0.3;0.56;2.7;0.046;46;184;0.9924;3.31;0.57;10.9;6 +5.7;0.26;0.25;10.4;0.02;7;57;0.994;3.39;0.37;10.6;5 +6.5;0.24;0.32;7.6;0.038;48;203;0.9958;3.45;0.54;9.7;7 +6.5;0.425;0.4;13.1;0.038;59;241;0.9979;3.23;0.57;9;5 +6.6;0.24;0.27;15.8;0.035;46;188;0.9982;3.24;0.51;9.2;5 +6.8;0.27;0.22;8.1;0.034;55;203;0.9961;3.19;0.52;8.9;5 +6.7;0.27;0.31;15.7;0.036;44;179;0.9979;3.26;0.56;9.6;5 +8.2;0.23;0.4;1.2;0.027;36;121;0.992;3.12;0.38;10.7;6 +7.1;0.37;0.67;10.5;0.045;49;155;0.9975;3.16;0.44;8.7;5 +6.8;0.19;0.36;1.9;0.035;30;96;0.9917;3.15;0.54;10.8;7 +8.1;0.28;0.39;1.9;0.029;18;79;0.9923;3.23;0.52;11.8;6 +6.3;0.31;0.34;2.2;0.045;20;77;0.9927;3.3;0.43;10.2;5 +7.1;0.37;0.67;10.5;0.045;49;155;0.9975;3.16;0.44;8.7;5 +7.9;0.21;0.4;1.2;0.039;38;107;0.992;3.21;0.54;10.8;6 +8.5;0.21;0.41;4.3;0.036;24;99;0.9947;3.18;0.53;9.7;6 +8.1;0.2;0.4;2;0.037;19;87;0.9921;3.12;0.54;11.2;6 +6.3;0.255;0.37;1.1;0.04;37;114;0.9905;3;0.39;10.9;6 +5.6;0.16;0.27;1.4;0.044;53;168;0.9918;3.28;0.37;10.1;6 +6.4;0.595;0.14;5.2;0.058;15;97;0.9951;3.38;0.36;9;4 +6.3;0.34;0.33;4.6;0.034;19;80;0.9917;3.38;0.58;12;7 +6.9;0.25;0.3;4.1;0.054;23;116;0.994;2.99;0.38;9.4;6 +7.9;0.22;0.38;8;0.043;46;152;0.9934;3.12;0.32;11.5;7 +7.6;0.18;0.46;10.2;0.055;58;135;0.9968;3.14;0.43;9.9;6 +6.9;0.25;0.3;4.1;0.054;23;116;0.994;2.99;0.38;9.4;6 +7.2;0.18;0.41;1.2;0.048;41;97;0.9919;3.14;0.45;10.4;5 +8.2;0.23;0.4;7.5;0.049;12;76;0.9966;3.06;0.84;9.7;6 +7.4;0.24;0.42;14;0.066;48;198;0.9979;2.89;0.42;8.9;6 +7.4;0.24;0.42;14;0.066;48;198;0.9979;2.89;0.42;8.9;6 +6.1;0.32;0.24;1.5;0.036;38;124;0.9898;3.29;0.42;12.4;7 +5.2;0.44;0.04;1.4;0.036;43;119;0.9894;3.36;0.33;12.1;8 +5.2;0.44;0.04;1.4;0.036;43;119;0.9894;3.36;0.33;12.1;8 +6.1;0.32;0.24;1.5;0.036;38;124;0.9898;3.29;0.42;12.4;7 +6.4;0.22;0.56;14.5;0.055;27;159;0.998;2.98;0.4;9.1;5 +6.3;0.36;0.3;4.8;0.049;14;85;0.9932;3.28;0.39;10.6;5 +7.4;0.24;0.42;14;0.066;48;198;0.9979;2.89;0.42;8.9;6 +6.7;0.24;0.35;13.1;0.05;64;205;0.997;3.15;0.5;9.5;5 +7;0.23;0.36;13;0.051;72;177;0.9972;3.16;0.49;9.8;5 +8.4;0.27;0.46;8.7;0.048;39;197;0.9974;3.14;0.59;9.6;6 +6.7;0.46;0.18;2.4;0.034;25;98;0.9896;3.08;0.44;12.6;7 +7.5;0.29;0.31;8.95;0.055;20;151;0.9968;3.08;0.54;9.3;5 +9.8;0.42;0.48;9.85;0.034;5;110;0.9958;2.87;0.29;10;5 +7.1;0.3;0.46;1.5;0.066;29;133;0.9906;3.12;0.54;12.7;6 +7.9;0.19;0.45;1.5;0.045;17;96;0.9917;3.13;0.39;11;6 +7.6;0.48;0.37;0.8;0.037;4;100;0.9902;3.03;0.39;11.4;4 +6.3;0.22;0.43;4.55;0.038;31;130;0.9918;3.35;0.33;11.5;7 +7.5;0.27;0.31;17.7;0.051;33;173;0.999;3.09;0.64;10.2;5 +6.9;0.23;0.4;7.5;0.04;50;151;0.9927;3.11;0.27;11.4;6 +7.2;0.32;0.47;5.1;0.044;19;65;0.991;3.03;0.41;12.6;4 +5.9;0.23;0.3;12.9;0.054;57;170;0.9972;3.28;0.39;9.4;5 +6;0.67;0.07;1.2;0.06;9;108;0.9931;3.11;0.35;8.7;4 +6.4;0.25;0.32;5.5;0.049;41;176;0.995;3.19;0.68;9.2;6 +6.4;0.33;0.31;5.5;0.048;42;173;0.9951;3.19;0.66;9.3;6 +7.1;0.34;0.15;1.2;0.053;61;183;0.9936;3.09;0.43;9.2;5 +6.8;0.28;0.4;22;0.048;48;167;1.001;2.93;0.5;8.7;5 +6.9;0.27;0.4;14;0.05;64;227;0.9979;3.18;0.58;9.6;6 +6.8;0.26;0.56;11.9;0.043;64;226;0.997;3.02;0.63;9.3;5 +6.8;0.29;0.56;11.9;0.043;66;230;0.9972;3.02;0.63;9.3;5 +6.7;0.24;0.41;9.4;0.04;49;166;0.9954;3.12;0.61;9.9;6 +5.9;0.3;0.23;4.2;0.038;42;119;0.9924;3.15;0.5;11;5 +6.8;0.53;0.35;3.8;0.034;26;109;0.9906;3.26;0.57;12.7;8 +6.5;0.28;0.28;8.5;0.047;54;210;0.9962;3.09;0.54;8.9;4 +6.6;0.28;0.28;8.5;0.052;55;211;0.9962;3.09;0.55;8.9;6 +6.8;0.28;0.4;22;0.048;48;167;1.001;2.93;0.5;8.7;5 +6.8;0.28;0.36;8;0.045;28;123;0.9928;3.02;0.37;11.4;6 +6.6;0.15;0.34;5.1;0.055;34;125;0.9942;3.36;0.42;9.6;5 +6.4;0.29;0.44;3.6;0.2;75;181;0.9942;3.02;0.41;9.1;5 +6.4;0.3;0.45;3.5;0.197;76;180;0.9942;3.02;0.39;9.1;6 +6.4;0.29;0.44;3.6;0.197;75;183;0.9942;3.01;0.38;9.1;5 +6.8;0.26;0.24;7.8;0.052;54;214;0.9961;3.13;0.47;8.9;5 +7.1;0.32;0.24;13.1;0.05;52;204;0.998;3.1;0.49;8.8;5 +6.8;0.26;0.24;7.8;0.052;54;214;0.9961;3.13;0.47;8.9;5 +6.8;0.27;0.26;16.1;0.049;55;196;0.9984;3.15;0.5;9.3;5 +7.1;0.32;0.24;13.1;0.05;52;204;0.998;3.1;0.49;8.8;5 +6.9;0.54;0.32;13.2;0.05;53;236;0.9973;3.2;0.5;9.6;5 +6.8;0.26;0.34;13.9;0.034;39;134;0.9949;3.33;0.53;12;6 +5.8;0.28;0.35;2.3;0.053;36;114;0.9924;3.28;0.5;10.2;4 +6.4;0.21;0.5;11.6;0.042;45;153;0.9972;3.15;0.43;8.8;5 +7;0.16;0.32;8.3;0.045;38;126;0.9958;3.21;0.34;9.2;5 +10.2;0.44;0.88;6.2;0.049;20;124;0.9968;2.99;0.51;9.9;4 +6.8;0.57;0.29;2.2;0.04;15;77;0.9938;3.32;0.74;10.2;5 +6.1;0.4;0.31;0.9;0.048;23;170;0.993;3.22;0.77;9.5;6 +5.6;0.245;0.25;9.7;0.032;12;68;0.994;3.31;0.34;10.5;5 +6.8;0.18;0.38;1.4;0.038;35;111;0.9918;3.32;0.59;11.2;7 +7;0.16;0.32;8.3;0.045;38;126;0.9958;3.21;0.34;9.2;5 +6.7;0.13;0.29;5.3;0.051;31;122;0.9944;3.44;0.37;9.7;6 +6.2;0.25;0.25;1.4;0.03;35;105;0.9912;3.3;0.44;11.1;7 +5.8;0.26;0.24;9.2;0.044;55;152;0.9961;3.31;0.38;9.4;5 +7.5;0.27;0.36;7;0.036;45;164;0.9939;3.03;0.33;11;5 +5.8;0.26;0.24;9.2;0.044;55;152;0.9961;3.31;0.38;9.4;5 +5.7;0.28;0.24;17.5;0.044;60;167;0.9989;3.31;0.44;9.4;5 +7.5;0.23;0.36;7;0.036;43;161;0.9938;3.04;0.32;11;5 +7.5;0.27;0.36;7;0.036;45;164;0.9939;3.03;0.33;11;5 +7.2;0.685;0.21;9.5;0.07;33;172;0.9971;3;0.55;9.1;6 +6.2;0.25;0.25;1.4;0.03;35;105;0.9912;3.3;0.44;11.1;7 +6.5;0.19;0.3;0.8;0.043;33;144;0.9936;3.42;0.39;9.1;6 +6.3;0.495;0.22;1.8;0.046;31;140;0.9929;3.39;0.54;10.4;6 +7.1;0.24;0.41;17.8;0.046;39;145;0.9998;3.32;0.39;8.7;5 +6.4;0.17;0.32;2.4;0.048;41;200;0.9938;3.5;0.5;9.7;6 +7.1;0.25;0.32;10.3;0.041;66;272;0.9969;3.17;0.52;9.1;6 +6.4;0.17;0.32;2.4;0.048;41;200;0.9938;3.5;0.5;9.7;6 +7.1;0.24;0.41;17.8;0.046;39;145;0.9998;3.32;0.39;8.7;5 +6.8;0.64;0.08;9.7;0.062;26;142;0.9972;3.37;0.46;8.9;4 +8.3;0.28;0.4;7.8;0.041;38;194;0.9976;3.34;0.51;9.6;6 +8.2;0.27;0.39;7.8;0.039;49;208;0.9976;3.31;0.51;9.5;6 +7.2;0.23;0.38;14.3;0.058;55;194;0.9979;3.09;0.44;9;6 +7.2;0.23;0.38;14.3;0.058;55;194;0.9979;3.09;0.44;9;6 +7.2;0.23;0.38;14.3;0.058;55;194;0.9979;3.09;0.44;9;6 +7.2;0.23;0.38;14.3;0.058;55;194;0.9979;3.09;0.44;9;6 +6.8;0.52;0.32;13.2;0.044;54;221;0.9972;3.27;0.5;9.6;6 +7;0.26;0.59;1.4;0.037;40;120;0.9918;3.34;0.41;11.1;7 +6.2;0.25;0.21;15.55;0.039;28;159;0.9982;3.48;0.64;9.6;6 +7.3;0.32;0.23;13.7;0.05;49;197;0.9985;3.2;0.46;8.7;5 +7.7;0.31;0.26;7.8;0.031;23;90;0.9944;3.13;0.5;10.4;5 +7.1;0.21;0.37;2.4;0.026;23;100;0.9903;3.15;0.38;11.4;7 +6.8;0.24;0.34;2.7;0.047;64.5;218.5;0.9934;3.3;0.58;9.7;6 +6.9;0.4;0.56;11.2;0.043;40;142;0.9975;3.14;0.46;8.7;5 +6.1;0.18;0.36;2;0.038;20;249.5;0.9923;3.37;0.79;11.3;6 +6.8;0.21;0.27;2.1;0.03;26;139;0.99;3.16;0.61;12.6;7 +5.8;0.2;0.27;1.4;0.031;12;77;0.9905;3.25;0.36;10.9;7 +5.6;0.19;0.26;1.4;0.03;12;76;0.9905;3.25;0.37;10.9;7 +6.1;0.41;0.14;10.4;0.037;18;119;0.996;3.38;0.45;10;5 +5.9;0.21;0.28;4.6;0.053;40;199;0.9964;3.72;0.7;10;4 +8.5;0.26;0.21;16.2;0.074;41;197;0.998;3.02;0.5;9.8;3 +6.9;0.4;0.56;11.2;0.043;40;142;0.9975;3.14;0.46;8.7;5 +5.8;0.24;0.44;3.5;0.029;5;109;0.9913;3.53;0.43;11.7;3 +5.8;0.24;0.39;1.5;0.054;37;158;0.9932;3.21;0.52;9.3;6 +6.7;0.26;0.39;1.1;0.04;45;147;0.9935;3.32;0.58;9.6;8 +6.3;0.35;0.3;5.7;0.035;8;97;0.9927;3.27;0.41;11;7 +6.3;0.35;0.3;5.7;0.035;8;97;0.9927;3.27;0.41;11;7 +6.4;0.23;0.39;1.8;0.032;23;118;0.9912;3.32;0.5;11.8;6 +5.8;0.36;0.38;0.9;0.037;3;75;0.9904;3.28;0.34;11.4;4 +6.9;0.115;0.35;5.4;0.048;36;108;0.9939;3.32;0.42;10.2;6 +6.9;0.29;0.4;19.45;0.043;36;156;0.9996;2.93;0.47;8.9;5 +6.9;0.28;0.4;8.2;0.036;15;95;0.9944;3.17;0.33;10.2;5 +7.2;0.29;0.4;13.6;0.045;66;231;0.9977;3.08;0.59;9.6;6 +6.2;0.24;0.35;1.2;0.038;22;167;0.9912;3.1;0.48;10.6;6 +6.9;0.29;0.4;19.45;0.043;36;156;0.9996;2.93;0.47;8.9;5 +6.9;0.32;0.26;8.3;0.053;32;180;0.9965;3.25;0.51;9.2;6 +5.3;0.58;0.07;6.9;0.043;34;149;0.9944;3.34;0.57;9.7;5 +5.3;0.585;0.07;7.1;0.044;34;145;0.9945;3.34;0.57;9.7;6 +5.4;0.59;0.07;7;0.045;36;147;0.9944;3.34;0.57;9.7;6 +6.9;0.32;0.26;8.3;0.053;32;180;0.9965;3.25;0.51;9.2;6 +5.2;0.6;0.07;7;0.044;33;147;0.9944;3.33;0.58;9.7;5 +5.8;0.25;0.26;13.1;0.051;44;148;0.9972;3.29;0.38;9.3;5 +6.6;0.58;0.3;5.1;0.057;30;123;0.9949;3.24;0.38;9;5 +7;0.29;0.54;10.7;0.046;59;234;0.9966;3.05;0.61;9.5;5 +6.6;0.19;0.41;8.9;0.046;51;169;0.9954;3.14;0.57;9.8;6 +6.7;0.2;0.41;9.1;0.044;50;166;0.9954;3.14;0.58;9.8;6 +7.7;0.26;0.4;1.1;0.042;9;60;0.9915;2.89;0.5;10.6;5 +6.8;0.32;0.34;1.2;0.044;14;67;0.9919;3.05;0.47;10.6;4 +7;0.3;0.49;4.7;0.036;17;105;0.9916;3.26;0.68;12.4;7 +7;0.24;0.36;2.8;0.034;22;112;0.99;3.19;0.38;12.6;8 +6.1;0.31;0.58;5;0.039;36;114;0.9909;3.3;0.6;12.3;8 +6.8;0.44;0.37;5.1;0.047;46;201;0.9938;3.08;0.65;10.5;4 +6.7;0.34;0.3;15.6;0.054;51;196;0.9982;3.19;0.49;9.3;5 +7.1;0.35;0.24;15.4;0.055;46;198;0.9988;3.12;0.49;8.8;5 +7.3;0.32;0.25;7.2;0.056;47;180;0.9961;3.08;0.47;8.8;5 +6.5;0.28;0.33;15.7;0.053;51;190;0.9978;3.22;0.51;9.7;6 +7.2;0.23;0.39;14.2;0.058;49;192;0.9979;2.98;0.48;9;7 +7.2;0.23;0.39;14.2;0.058;49;192;0.9979;2.98;0.48;9;7 +7.2;0.23;0.39;14.2;0.058;49;192;0.9979;2.98;0.48;9;7 +7.2;0.23;0.39;14.2;0.058;49;192;0.9979;2.98;0.48;9;7 +5.9;0.15;0.31;5.8;0.041;53;155;0.9945;3.52;0.46;10.5;6 +7.4;0.28;0.42;19.8;0.066;53;195;1;2.96;0.44;9.1;5 +6.2;0.28;0.22;7.3;0.041;26;157;0.9957;3.44;0.64;9.8;7 +9.1;0.59;0.38;1.6;0.066;34;182;0.9968;3.23;0.38;8.5;3 +6.3;0.33;0.27;1.2;0.046;34;175;0.9934;3.37;0.54;9.4;6 +8.3;0.39;0.7;10.6;0.045;33;169;0.9976;3.09;0.57;9.4;5 +7.2;0.19;0.46;3.8;0.041;82;187;0.9932;3.19;0.6;11.2;7 +7.5;0.17;0.44;11.3;0.046;65;146;0.997;3.17;0.45;10;6 +6.7;0.17;0.5;2.1;0.043;27;122;0.9923;3.15;0.45;10.3;6 +6.1;0.41;0;1.6;0.063;36;87;0.9914;3.27;0.67;10.8;6 +8.3;0.2;0.35;0.9;0.05;12;74;0.992;3.13;0.38;10.5;6 +6.1;0.41;0;1.6;0.063;36;87;0.9914;3.27;0.67;10.8;6 +6;0.29;0.21;1.3;0.055;42;168;0.9914;3.32;0.43;11.1;6 +7.3;0.41;0.24;6.8;0.057;41;163;0.9949;3.2;0.41;9.9;6 +7.3;0.41;0.24;6.8;0.057;41;163;0.9949;3.2;0.41;9.9;6 +7.2;0.43;0.24;6.7;0.058;40;163;0.995;3.2;0.41;9.9;5 +7.3;0.4;0.24;6.7;0.058;41;166;0.995;3.2;0.41;9.9;6 +6.2;0.33;0.27;4.9;0.036;30;134;0.9927;3.2;0.42;10.4;7 +6.2;0.31;0.26;4.8;0.037;36;148;0.9928;3.21;0.41;10.4;6 +6.1;0.36;0.27;2.1;0.035;16;100;0.9917;3.4;0.71;11.5;7 +5;0.55;0.14;8.3;0.032;35;164;0.9918;3.53;0.51;12.5;8 +7.8;0.25;0.41;3.7;0.042;37;149;0.9954;3.36;0.45;10;6 +5.7;0.36;0.21;6.7;0.038;51;166;0.9941;3.29;0.63;10;6 +5.8;0.34;0.21;6.6;0.04;50;167;0.9941;3.29;0.62;10;5 +6.8;0.28;0.6;1.1;0.132;42;127;0.9934;3.09;0.44;9.1;6 +6.8;0.25;0.34;4.7;0.031;34;134;0.9927;3.21;0.38;10.6;6 +6.6;0.24;0.35;7.7;0.031;36;135;0.9938;3.19;0.37;10.5;5 +5.9;0.3;0.47;7.85;0.03;19;133;0.9933;3.52;0.43;11.5;7 +6.1;0.125;0.25;3.3;0.04;10;69;0.9934;3.54;0.59;10.1;6 +6;0.1;0.24;1.1;0.041;15;65;0.9927;3.61;0.61;10.3;7 +6.6;0.24;0.35;7.7;0.031;36;135;0.9938;3.19;0.37;10.5;5 +6.8;0.25;0.34;4.7;0.031;34;134;0.9927;3.21;0.38;10.6;6 +6.8;0.28;0.44;9.3;0.031;35;137;0.9946;3.16;0.36;10.4;6 +8.3;0.41;0.51;2;0.046;11;207;0.993;3.02;0.55;11.4;5 +7.5;0.27;0.31;5.8;0.057;131;313;0.9946;3.18;0.59;10.5;5 +7.9;0.26;0.41;15.15;0.04;38;216;0.9976;2.96;0.6;10;6 +6.4;0.34;0.23;6.3;0.039;37;143;0.9944;3.19;0.65;10;6 +6.5;0.28;0.35;15.4;0.042;55;195;0.9978;3.23;0.5;9.6;6 +7.2;0.21;0.41;1.3;0.036;33;85;0.992;3.17;0.51;10.4;5 +6.4;0.32;0.35;4.8;0.03;34;101;0.9912;3.36;0.6;12.5;8 +6.8;0.24;0.34;4.6;0.032;37;135;0.9927;3.2;0.39;10.6;5 +6.3;0.23;0.3;1.8;0.033;16;91;0.9906;3.28;0.4;11.8;6 +6.5;0.28;0.34;9.9;0.038;30;133;0.9954;3.11;0.44;9.8;5 +5.6;0.26;0.26;5.7;0.031;12;80;0.9923;3.25;0.38;10.8;5 +6.3;0.23;0.3;1.8;0.033;16;91;0.9906;3.28;0.4;11.8;6 +6.3;0.23;0.33;1.5;0.036;15;105;0.991;3.32;0.42;11.2;6 +5.8;0.27;0.27;12.3;0.045;55;170;0.9972;3.28;0.42;9.3;6 +5.9;0.26;0.4;1.3;0.047;12;139;0.9945;3.45;0.53;10.4;5 +6.6;0.18;0.35;1.5;0.049;49;141;0.9934;3.43;0.85;10.2;7 +7.4;0.2;0.43;7.8;0.045;27;153;0.9964;3.19;0.55;9;7 +8;0.24;0.36;1.5;0.047;17;129;0.9948;3.2;0.54;10;6 +6.4;0.26;0.42;9.7;0.044;30;140;0.9962;3.18;0.47;9.1;6 +5.4;0.31;0.47;3;0.053;46;144;0.9931;3.29;0.76;10;5 +5.4;0.29;0.47;3;0.052;47;145;0.993;3.29;0.75;10;6 +7.1;0.145;0.33;4.6;0.05;33;131;0.9942;3.28;0.4;9.6;6 +5.6;0.34;0.1;1.3;0.031;20;68;0.9906;3.36;0.51;11.2;7 +6.7;0.19;0.41;15.6;0.056;75;155;0.9995;3.2;0.44;8.8;6 +7.8;0.18;0.46;13.6;0.052;38;118;0.998;3.15;0.5;10;6 +7.6;0.17;0.45;11.2;0.054;56;137;0.997;3.15;0.47;10;5 +6.3;0.12;0.36;2.1;0.044;47;146;0.9914;3.27;0.74;11.4;7 +7.3;0.33;0.4;6.85;0.038;32;138;0.992;3.03;0.3;11.9;7 +5.5;0.335;0.3;2.5;0.071;27;128;0.9924;3.14;0.51;9.6;6 +7.3;0.33;0.4;6.85;0.038;32;138;0.992;3.03;0.3;11.9;7 +5.8;0.4;0.42;4.4;0.047;38.5;245;0.9937;3.25;0.57;9.6;6 +7.3;0.22;0.37;14.3;0.063;48;191;0.9978;2.89;0.38;9;6 +7.3;0.22;0.37;14.3;0.063;48;191;0.9978;2.89;0.38;9;6 +6.1;0.36;0.33;1.1;0.05;24;169;0.9927;3.15;0.78;9.5;6 +10;0.2;0.39;1.4;0.05;19;152;0.994;3;0.42;10.4;6 +6.9;0.24;0.34;4.7;0.04;43;161;0.9935;3.2;0.59;10.6;6 +6.4;0.24;0.32;14.9;0.047;54;162;0.9968;3.28;0.5;10.2;6 +7.1;0.365;0.14;1.2;0.055;24;84;0.9941;3.15;0.43;8.9;5 +6.8;0.15;0.3;5.3;0.05;40;127;0.9942;3.4;0.39;9.7;6 +7.3;0.22;0.37;14.3;0.063;48;191;0.9978;2.89;0.38;9;6 +6.8;0.16;0.4;2.3;0.037;18;102;0.9923;3.49;0.42;11.4;7 +6;0.26;0.32;3.5;0.028;29;113;0.9912;3.4;0.71;12.3;7 +6;0.18;0.27;1.5;0.089;40;143;0.9923;3.49;0.62;10.8;6 +6.9;0.33;0.21;1;0.053;39;148;0.9927;3.12;0.45;9.4;6 +7.7;0.29;0.48;2.3;0.049;36;178;0.9931;3.17;0.64;10.6;6 +7.1;0.39;0.35;12.5;0.044;26;72;0.9941;3.17;0.29;11.6;5 +6.9;0.33;0.21;1;0.053;39;148;0.9927;3.12;0.45;9.4;6 +7.7;0.29;0.48;2.3;0.049;36;178;0.9931;3.17;0.64;10.6;6 +6.6;0.905;0.19;0.8;0.048;17;204;0.9934;3.34;0.56;10;5 +7.2;0.27;0.27;2.4;0.048;30;149;0.9936;3.1;0.51;9.2;6 +5.1;0.33;0.22;1.6;0.027;18;89;0.9893;3.51;0.38;12.5;7 +5.1;0.33;0.22;1.6;0.027;18;89;0.9893;3.51;0.38;12.5;7 +6.4;0.31;0.28;1.5;0.037;12;119;0.9919;3.32;0.51;10.4;7 +7.3;0.2;0.44;1.4;0.045;21;98;0.9924;3.15;0.46;10;7 +5.7;0.32;0.5;2.6;0.049;17;155;0.9927;3.22;0.64;10;6 +6.4;0.31;0.28;1.5;0.037;12;119;0.9919;3.32;0.51;10.4;7 +7.3;0.2;0.44;1.4;0.045;21;98;0.9924;3.15;0.46;10;7 +7.2;0.28;0.26;12.5;0.046;48;179;0.9975;3.1;0.52;9;6 +7.5;0.35;0.28;9.6;0.051;26;157;0.9969;3.12;0.53;9.2;6 +7.2;0.27;0.27;2.4;0.048;30;149;0.9936;3.1;0.51;9.2;6 +6;0.36;0.39;3.2;0.027;20;125;0.991;3.38;0.39;11.3;7 +5.1;0.33;0.22;1.6;0.027;18;89;0.9893;3.51;0.38;12.5;7 +5;0.17;0.56;1.5;0.026;24;115;0.9906;3.48;0.39;10.8;7 +6.3;0.39;0.35;5.9;0.04;82.5;260;0.9941;3.12;0.66;10.1;5 +6.7;0.21;0.32;5.4;0.047;29;140;0.995;3.39;0.46;9.7;6 +7;0.3;0.38;14.9;0.032;60;181;0.9983;3.18;0.61;9.3;7 +7;0.3;0.38;14.9;0.032;60;181;0.9983;3.18;0.61;9.3;7 +6.5;0.36;0.32;1.1;0.031;13;66;0.9916;3.1;0.46;10.6;5 +6.1;0.55;0.15;9.8;0.031;19;125;0.9957;3.36;0.47;10.2;6 +7.3;0.24;0.43;2;0.021;20;69;0.99;3.08;0.56;12.2;6 +6.8;0.37;0.51;11.8;0.044;62;163;0.9976;3.19;0.44;8.8;5 +6.8;0.27;0.12;1.3;0.04;87;168;0.992;3.18;0.41;10;5 +8.2;0.28;0.42;1.8;0.031;30;93;0.9917;3.09;0.39;11.4;5 +6.3;0.2;0.4;1.5;0.037;35;107;0.9917;3.46;0.5;11.4;6 +5.9;0.26;0.27;18.2;0.048;52;168;0.9993;3.35;0.44;9.4;5 +6.4;0.19;0.42;2.9;0.032;32;83;0.9908;3.3;0.41;11.7;6 +6.3;0.2;0.4;1.5;0.037;35;107;0.9917;3.46;0.5;11.4;6 +6.8;0.37;0.51;11.8;0.044;62;163;0.9976;3.19;0.44;8.8;5 +6.1;0.35;0.07;1.4;0.069;22;108;0.9934;3.23;0.52;9.2;5 +7.1;0.27;0.31;18.2;0.046;55;252;1;3.07;0.56;8.7;5 +6.8;0.22;0.31;6.3;0.035;33;170;0.9918;3.24;0.66;12.6;6 +6.8;0.27;0.12;1.3;0.04;87;168;0.992;3.18;0.41;10;5 +5.8;0.28;0.34;4;0.031;40;99;0.9896;3.39;0.39;12.8;7 +6.9;0.49;0.24;1.2;0.049;13;125;0.9932;3.17;0.51;9.4;5 +6.3;0.14;0.39;1.2;0.044;26;116;0.992;3.26;0.53;10.3;6 +8.2;0.28;0.42;1.8;0.031;30;93;0.9917;3.09;0.39;11.4;5 +7.2;0.25;0.39;18.95;0.038;42;155;0.9999;2.97;0.47;9;6 +7.3;0.28;0.36;12.7;0.04;38;140;0.998;3.3;0.79;9.6;6 +7.2;0.19;0.39;1.2;0.036;32;85;0.9918;3.16;0.5;10.5;5 +7.2;0.19;0.39;1.2;0.036;32;85;0.9918;3.16;0.5;10.5;5 +7.2;0.25;0.39;18.95;0.038;42;155;0.9999;2.97;0.47;9;6 +7.3;0.28;0.36;12.7;0.04;38;140;0.998;3.3;0.79;9.6;6 +7.4;0.21;0.27;1.2;0.041;27;99;0.9927;3.19;0.33;9.8;6 +6.8;0.26;0.22;7.7;0.047;57;210;0.9959;3.1;0.47;9;5 +7.4;0.21;0.27;1.2;0.041;27;99;0.9927;3.19;0.33;9.8;6 +7.4;0.31;0.28;1.6;0.05;33;137;0.9929;3.31;0.56;10.5;6 +7;0.22;0.31;2.7;0.03;41;136;0.9898;3.16;0.37;12.7;7 +7;0.21;0.28;8.7;0.045;37;222;0.9954;3.25;0.54;10.4;6 +7;0.21;0.28;8.6;0.045;37;221;0.9954;3.25;0.54;10.4;6 +7;0.21;0.28;8.6;0.045;37;221;0.9954;3.25;0.54;10.4;6 +6.9;0.23;0.38;8.3;0.047;47;162;0.9954;3.34;0.52;10.5;7 +7;0.21;0.28;8.7;0.045;37;222;0.9954;3.25;0.54;10.4;6 +7;0.21;0.28;8.6;0.045;37;221;0.9954;3.25;0.54;10.4;6 +6.8;0.29;0.5;13.3;0.053;48;194;0.9974;3.09;0.45;9.4;5 +7.8;0.21;0.27;1.2;0.051;20;89;0.9936;3.06;0.46;9.1;5 +7.1;0.31;0.47;13.6;0.056;54;197;0.9978;3.1;0.49;9.3;5 +6.8;0.29;0.5;13.3;0.053;48;194;0.9974;3.09;0.45;9.4;5 +6.4;0.34;0.1;1.1;0.048;19;84;0.9927;3.21;0.38;9.8;5 +7.4;0.155;0.34;2.3;0.045;73.5;214;0.9934;3.18;0.61;9.9;7 +7.2;0.55;0.09;1.5;0.108;16;151;0.9938;3.07;0.57;9.2;4 +7;0.23;0.36;7.1;0.028;31;104;0.9922;3.35;0.47;12.1;8 +6.9;0.2;0.37;6.2;0.027;24;97;0.992;3.38;0.49;12.2;7 +6.1;0.28;0.32;2.5;0.042;23;218.5;0.9935;3.27;0.6;9.8;5 +6.6;0.16;0.32;1.4;0.035;49;186;0.9906;3.35;0.64;12.4;8 +7.4;0.155;0.34;2.3;0.045;73.5;214;0.9934;3.18;0.61;9.9;7 +6.2;0.35;0.04;1.2;0.06;23;108;0.9934;3.26;0.54;9.2;5 +6.7;0.22;0.37;1.6;0.028;24;102;0.9913;3.29;0.59;11.6;7 +6.1;0.38;0.2;6.6;0.033;25;137;0.9938;3.3;0.69;10.4;6 +6;0.25;0.28;2.2;0.026;54;126;0.9898;3.43;0.65;12.9;8 +6.6;0.52;0.44;12.2;0.048;54;245;0.9975;3.26;0.54;9.3;6 +6.9;0.24;0.36;20.8;0.031;40;139;0.9975;3.2;0.33;11;6 +7.1;0.32;0.32;11;0.038;16;66;0.9937;3.24;0.4;11.5;3 +5.8;0.28;0.27;2.6;0.054;30;156;0.9914;3.53;0.42;12.4;5 +6.5;0.41;0.24;14;0.048;24;113;0.9982;3.44;0.53;9.8;6 +6.5;0.41;0.24;14;0.048;24;113;0.9982;3.44;0.53;9.8;6 +6.4;0.28;0.29;1.6;0.052;34;127;0.9929;3.48;0.56;10.5;7 +7.2;0.6;0.2;9.9;0.07;21;174;0.9971;3.03;0.54;9.1;5 +6.1;0.2;0.25;1.2;0.038;34;128;0.9921;3.24;0.44;10.1;5 +5.9;0.46;0.14;2.7;0.042;27;160;0.9931;3.46;0.51;10.6;7 +6;0.27;0.27;1.6;0.046;32;113;0.9924;3.41;0.51;10.5;7 +6.4;0.28;0.29;1.6;0.052;34;127;0.9929;3.48;0.56;10.5;7 +6.4;0.41;0.24;14;0.048;24;113;0.9982;3.44;0.53;9.8;6 +6.3;0.23;0.31;1.5;0.022;11;82;0.9892;3.3;0.4;12.9;7 +7.1;0.21;0.27;8.6;0.056;26;111;0.9956;2.95;0.52;9.5;5 +6;0.37;0.32;1;0.053;31;218.5;0.9924;3.29;0.72;9.8;6 +6.1;0.43;0.35;9.1;0.059;83;249;0.9971;3.37;0.5;8.5;5 +7.1;0.21;0.27;8.6;0.056;26;111;0.9956;2.95;0.52;9.5;5 +7;0.25;0.29;15.2;0.047;40;171;0.9982;3.22;0.45;9.3;5 +5.9;0.25;0.19;12.4;0.047;50;162;0.9973;3.35;0.38;9.5;5 +6.8;0.32;0.21;2.2;0.044;15;68;0.9932;3.17;0.39;9.4;6 +7.2;0.39;0.62;11;0.047;66;178;0.9976;3.16;0.5;8.7;5 +6.3;0.21;0.58;10;0.081;34;126;0.9962;2.95;0.46;8.9;5 +7;0.14;0.32;9;0.039;54;141;0.9956;3.22;0.43;9.4;6 +6.8;0.32;0.21;2.2;0.044;15;68;0.9932;3.17;0.39;9.4;6 +7.2;0.39;0.62;11;0.047;66;178;0.9976;3.16;0.5;8.7;5 +7.2;0.29;0.53;18.15;0.047;59;182;0.9992;3.09;0.52;9.6;5 +8.6;0.37;0.7;12.15;0.039;21;158;0.9983;3;0.73;9.3;6 +6.5;0.38;0.34;3.4;0.036;34;200;0.9937;3.14;0.76;10;5 +6.6;0.24;0.29;2;0.023;19;86;0.99;3.25;0.45;12.5;6 +7;0.17;0.31;4.8;0.034;34;132;0.9944;3.36;0.48;9.6;7 +5.5;0.16;0.22;4.5;0.03;30;102;0.9938;3.24;0.36;9.4;6 +7;0.24;0.51;11;0.029;55;227;0.9965;3.03;0.61;9.5;5 +7.4;0.28;0.36;1.1;0.028;42;105;0.9893;2.99;0.39;12.4;7 +7;0.22;0.28;1.5;0.037;29;115;0.9927;3.11;0.55;10.5;6 +7.1;0.55;0.13;1.7;0.073;21;165;0.994;2.97;0.58;9.2;6 +6.3;0.22;0.33;1.7;0.041;67;164;0.9928;3.32;0.56;10.4;6 +6.7;0.47;0.34;8.9;0.043;31;172;0.9964;3.22;0.6;9.2;5 +5.9;0.36;0.41;1.3;0.047;45;104;0.9917;3.33;0.51;10.6;6 +5.8;0.25;0.24;13.3;0.044;41;137;0.9972;3.34;0.42;9.5;5 +6.7;0.47;0.34;8.9;0.043;31;172;0.9964;3.22;0.6;9.2;5 +6.2;0.37;0.3;6.6;0.346;79;200;0.9954;3.29;0.58;9.6;5 +6.2;0.18;0.38;1.5;0.028;36;117;0.993;3.47;0.54;9.7;6 +6;0.16;0.37;1.5;0.025;43;117;0.9928;3.46;0.51;9.7;6 +6.6;0.34;0.28;1.3;0.035;32;90;0.9916;3.1;0.42;10.7;6 +7.4;0.29;0.29;1.6;0.045;53;180;0.9936;3.34;0.68;10.5;6 +7.4;0.26;0.31;7.6;0.047;52;177;0.9962;3.13;0.45;8.9;6 +7;0.28;0.36;1;0.035;8;70;0.9899;3.09;0.46;12.1;6 +7.1;0.23;0.39;1.6;0.032;12;65;0.9898;3.25;0.4;12.7;7 +7.8;0.19;0.26;8.9;0.039;42;182;0.996;3.18;0.46;9.9;6 +6.3;0.19;0.28;1.8;0.022;28;158;0.9907;3.2;0.64;11.4;6 +6.8;0.2;0.38;4.7;0.04;27;103;0.994;3.37;0.58;10.7;6 +5.7;0.44;0.13;7;0.025;28;173;0.9913;3.33;0.48;12.5;6 +7.2;0.4;0.62;10.8;0.041;70;189;0.9976;3.08;0.49;8.6;4 +6.8;0.23;0.32;1.6;0.026;43;147;0.9904;3.29;0.54;12.5;6 +5.7;0.335;0.34;1;0.04;13;174;0.992;3.27;0.66;10;5 +7.2;0.4;0.62;10.8;0.041;70;189;0.9976;3.08;0.49;8.6;4 +7.2;0.28;0.54;16.7;0.045;54;200;0.999;3.08;0.49;9.5;6 +6.8;0.19;0.58;14.2;0.038;51;164;0.9975;3.12;0.48;9.6;6 +6.4;0.3;0.3;2.25;0.038;8;210;0.9937;3.2;0.62;9.9;6 +6.5;0.3;0.29;2.25;0.037;8;210;0.9937;3.19;0.62;9.9;5 +7.8;0.18;0.31;12.2;0.053;46;140;0.998;3.06;0.53;8.9;6 +7.8;0.18;0.31;12.2;0.053;46;140;0.998;3.06;0.53;8.9;6 +7.3;0.51;0.26;3.3;0.09;7;135;0.9944;3.01;0.52;8.8;5 +6;0.24;0.27;1.9;0.048;40;170;0.9938;3.64;0.54;10;7 +5.9;0.62;0.28;3.5;0.039;55;152;0.9907;3.44;0.44;12;6 +6;0.24;0.27;1.9;0.048;40;170;0.9938;3.64;0.54;10;7 +6.7;0.27;0.12;1.3;0.041;62;138;0.9921;3.21;0.42;10;6 +7.8;0.34;0.35;1.8;0.042;8;167;0.9908;3.11;0.41;12.1;6 +7.3;0.26;0.36;5.2;0.04;31;141;0.9931;3.16;0.59;11;6 +7.4;0.36;0.33;1.4;0.025;27;55;0.9915;3.21;0.33;11.2;6 +7.8;0.28;0.32;9;0.036;34;115;0.9952;3.17;0.39;10.3;7 +6.1;0.31;0.26;2.2;0.051;28;167;0.9926;3.37;0.47;10.4;6 +6.8;0.18;0.37;1.6;0.055;47;154;0.9934;3.08;0.45;9.1;5 +7.4;0.15;0.42;1.7;0.045;49;154;0.992;3;0.6;10.4;6 +5.9;0.13;0.28;1.9;0.05;20;78;0.9918;3.43;0.64;10.8;6 +7.2;0.34;0.34;12.6;0.048;7;41;0.9942;3.19;0.4;11.7;5 +7.9;0.19;0.26;2.1;0.039;8;143;0.9942;3.05;0.74;9.8;5 +7.9;0.19;0.26;2.1;0.039;8;143;0.9942;3.05;0.74;9.8;5 +6.9;0.25;0.4;1.3;0.038;22;101;0.9901;3.03;0.39;11.4;6 +5.8;0.36;0.32;1.7;0.033;22;96;0.9898;3.03;0.38;11.2;6 +5.6;0.35;0.37;1;0.038;6;72;0.9902;3.37;0.34;11.4;5 +5.9;0.32;0.39;3.3;0.114;24;140;0.9934;3.09;0.45;9.2;6 +7.2;0.31;0.46;5;0.04;3;29;0.9906;3.04;0.53;12.5;4 +6.1;0.28;0.22;1.8;0.034;32;116;0.9898;3.36;0.44;12.6;6 +5.2;0.36;0.02;1.6;0.031;24;104;0.9896;3.44;0.35;12.2;6 +5.6;0.19;0.47;4.5;0.03;19;112;0.9922;3.56;0.45;11.2;6 +6.4;0.1;0.35;4.9;0.048;31;103;0.9947;3.43;0.79;9.7;6 +6.4;0.18;0.48;4;0.186;64;150;0.9945;3.06;0.4;9.3;5 +7.4;0.25;0.36;13.2;0.067;53;178;0.9976;3.01;0.48;9;6 +7.4;0.25;0.36;13.2;0.067;53;178;0.9976;3.01;0.48;9;6 +7.4;0.25;0.36;13.2;0.067;53;178;0.9976;3.01;0.48;9;6 +7.9;0.345;0.51;15.3;0.047;54;171;0.9987;3.09;0.51;9.1;5 +7.9;0.345;0.51;15.3;0.047;54;171;0.9987;3.09;0.51;9.1;5 +7.4;0.25;0.36;13.2;0.067;53;178;0.9976;3.01;0.48;9;6 +6.1;0.24;0.3;1.5;0.045;22;61;0.992;3.31;0.54;10.4;5 +6.8;0.25;0.24;4.55;0.053;41;211;0.9955;3.37;0.67;9.5;6 +6.7;0.31;0.31;9.9;0.04;10;175;0.9953;3.46;0.55;11.4;4 +7.2;0.46;0.65;10.4;0.05;76;192;0.9976;3.16;0.42;8.7;5 +5.5;0.35;0.35;1.1;0.045;14;167;0.992;3.34;0.68;9.9;6 +6.7;0.24;0.41;8.7;0.036;29;148;0.9952;3.22;0.62;9.9;6 +6.8;0.28;0.17;13.9;0.047;49;162;0.9983;3.21;0.51;9;6 +6.4;0.16;0.22;1.4;0.04;41;149;0.9933;3.49;0.58;10;6 +6.3;0.26;0.24;7.2;0.039;38;172;0.9958;3.49;0.64;9.7;6 +7.7;0.22;0.42;1.9;0.052;10;87;0.9922;3.3;0.49;11.8;6 +6.5;0.18;0.31;1.7;0.044;30;127;0.9928;3.49;0.5;10.2;7 +7.2;0.46;0.65;10.4;0.05;76;192;0.9976;3.16;0.42;8.7;5 +7;0.3;0.51;13.6;0.05;40;168;0.9976;3.07;0.52;9.6;7 +9.2;0.25;0.34;1.2;0.026;31;93;0.9916;2.93;0.37;11.3;7 +7.8;0.28;0.34;1.6;0.028;32;118;0.9901;3;0.38;12.1;7 +7;0.3;0.51;13.6;0.05;40;168;0.9976;3.07;0.52;9.6;7 +7.8;0.28;0.34;1.6;0.028;32;118;0.9901;3;0.38;12.1;7 +9.2;0.25;0.34;1.2;0.026;31;93;0.9916;2.93;0.37;11.3;7 +8.4;0.35;0.71;12.2;0.046;22;160;0.9982;2.98;0.65;9.4;5 +6.1;0.41;0.24;1.6;0.049;16;137;0.993;3.32;0.5;10.4;6 +5.9;0.21;0.24;12.1;0.044;53;165;0.9969;3.25;0.39;9.5;5 +7.2;0.34;0.44;4.2;0.047;51;144;0.991;3.01;0.76;12.3;6 +6.7;0.21;0.42;9.1;0.049;31;150;0.9953;3.12;0.74;9.9;7 +5.9;0.37;0.1;1.6;0.057;39;128;0.9924;3.24;0.48;10.1;5 +7.7;0.34;0.27;8.8;0.063;39;184;0.9969;3.09;0.63;9.2;6 +7.4;0.3;0.22;1.4;0.046;16;135;0.9928;3.08;0.77;10.4;7 +6.8;0.51;0.3;4.2;0.066;38;165;0.9945;3.2;0.42;9.1;5 +7.8;0.22;0.38;10.3;0.059;28;99;0.9967;3.12;0.47;10;6 +7.2;0.35;0.34;12.4;0.051;6;37;0.9944;3.13;0.39;11.5;6 +6;0.26;0.5;2.2;0.048;59;153;0.9928;3.08;0.61;9.8;5 +6.1;0.26;0.51;2.2;0.05;61;154;0.9929;3.08;0.6;9.8;6 +6.5;0.28;0.27;5.2;0.04;44;179;0.9948;3.19;0.69;9.4;6 +7.4;0.41;0.66;10.8;0.051;77;194;0.9976;3.05;0.46;8.7;5 +6.5;0.28;0.29;2.7;0.038;26;107;0.9912;3.32;0.41;11.6;7 +6.7;0.34;0.54;16.3;0.047;44;181;0.9987;3.04;0.56;8.8;5 +7.2;0.2;0.34;2.7;0.032;49;151;0.99;3.16;0.39;12.7;7 +7.4;0.2;0.33;1.9;0.035;39;138;0.991;3.17;0.44;11.7;7 +8.2;0.22;0.3;1.8;0.047;47;185;0.9933;3.13;0.5;10.2;6 +8.2;0.23;0.29;1.8;0.047;47;187;0.9933;3.13;0.5;10.2;6 +7.1;0.22;0.33;2.8;0.033;48;153;0.9899;3.15;0.38;12.7;7 +6.5;0.28;0.29;2.7;0.038;26;107;0.9912;3.32;0.41;11.6;7 +6;0.38;0.26;6;0.034;42;134;0.9912;3.38;0.38;12.3;7 +7.4;0.41;0.66;10.8;0.051;77;194;0.9976;3.05;0.46;8.7;5 +5.7;0.18;0.22;4.2;0.042;25;111;0.994;3.35;0.39;9.4;5 +7.3;0.3;0.22;6.4;0.056;44;168;0.9947;3.13;0.35;10.1;6 +7.4;0.24;0.22;10.7;0.042;26;81;0.9954;2.86;0.36;9.7;6 +6.6;0.25;0.3;1.6;0.046;32;134;0.993;3.42;0.51;10.1;7 +7.4;0.24;0.22;10.7;0.042;26;81;0.9954;2.86;0.36;9.7;6 +7.4;0.26;0.3;7.9;0.049;38;157;0.9963;3.13;0.48;8.9;6 +6.1;0.32;0.25;1.7;0.034;37;136;0.992;3.47;0.5;10.8;7 +6.9;0.28;0.27;2.1;0.036;42;121;0.9926;3.42;0.49;10.8;7 +7;0.23;0.33;5.8;0.04;25;136;0.995;3.19;0.58;9.5;6 +7.1;0.31;0.5;14.5;0.059;6;148;0.9983;2.94;0.44;9.1;5 +7.3;0.2;0.37;1.2;0.037;48;119;0.992;3.32;0.49;10.9;6 +6.9;0.41;0.33;10.1;0.043;28;152;0.9968;3.2;0.52;9.4;5 +6.4;0.45;0.07;1.1;0.03;10;131;0.9905;2.97;0.28;10.8;5 +6.4;0.475;0.06;1;0.03;9;131;0.9904;2.97;0.29;10.8;5 +6.3;0.27;0.38;0.9;0.051;7;140;0.9926;3.45;0.5;10.5;7 +6.9;0.41;0.33;10.1;0.043;28;152;0.9968;3.2;0.52;9.4;5 +7;0.29;0.37;4.9;0.034;26;127;0.9928;3.17;0.44;10.8;6 +5.9;0.27;0.29;11.4;0.036;31;115;0.9949;3.35;0.48;10.5;8 +6.9;0.19;0.4;1.4;0.036;14;55;0.9909;3.08;0.68;11.5;7 +6.7;0.3;0.35;1.4;0.18;36;160;0.9937;3.11;0.54;9.4;6 +7.2;0.24;0.4;1.4;0.045;31;106;0.9914;2.88;0.38;10.8;6 +6.4;0.45;0.07;1.1;0.03;10;131;0.9905;2.97;0.28;10.8;5 +6.4;0.475;0.06;1;0.03;9;131;0.9904;2.97;0.29;10.8;5 +6.3;0.26;0.49;1.5;0.052;34;134;0.9924;2.99;0.61;9.8;6 +6.3;0.26;0.49;1.5;0.052;34;134;0.9924;2.99;0.61;9.8;6 +7.3;0.25;0.29;7.5;0.049;38;158;0.9965;3.43;0.38;9.6;5 +7.3;0.25;0.29;7.5;0.049;38;158;0.9965;3.43;0.38;9.6;5 +6.1;0.28;0.25;17.75;0.044;48;161;0.9993;3.34;0.48;9.5;5 +7.4;0.37;0.35;5.7;0.061;12;94;0.9965;3.48;0.69;10.7;6 +6.5;0.36;0.28;3.2;0.037;29;119;0.9908;3.25;0.65;12.4;8 +7.4;0.24;0.4;4.3;0.032;9;95;0.992;3.09;0.39;11.1;6 +7.5;0.23;0.68;11;0.047;37;133;0.9978;2.99;0.38;8.8;5 +7.5;0.21;0.68;10.9;0.045;38;133;0.9978;3;0.36;8.7;5 +7.5;0.21;0.68;10.9;0.045;38;133;0.9978;3;0.36;8.7;5 +7.5;0.23;0.68;11;0.047;37;133;0.9978;2.99;0.38;8.8;5 +7.8;0.32;0.33;2.4;0.037;18;101;0.9912;3.21;0.65;11.7;7 +7.8;0.26;0.27;1.9;0.051;52;195;0.9928;3.23;0.5;10.9;6 +7.7;0.24;0.27;1.8;0.051;52;190;0.9928;3.23;0.5;10.8;6 +7.4;0.19;0.3;1.4;0.057;33;135;0.993;3.12;0.5;9.6;6 +6.5;0.46;0.41;16.8;0.084;59;222;0.9993;3.18;0.58;9;5 +6.5;0.26;0.43;8.9;0.083;50;171;0.9965;2.85;0.5;9;5 +5.3;0.32;0.12;6.6;0.043;22;141;0.9937;3.36;0.6;10.4;6 +7.2;0.24;0.34;1.1;0.045;3;64;0.9913;3.23;0.51;11.4;5 +6;0.36;0.06;1.4;0.066;27;128;0.9934;3.26;0.55;9.3;5 +6.2;0.24;0.29;13.3;0.039;49;130;0.9952;3.33;0.46;11;8 +7.6;0.56;0.12;10.4;0.096;22;177;0.9983;3.32;0.45;9.1;4 +7;0.32;0.24;6.2;0.048;31;228;0.9957;3.23;0.62;9.4;6 +7;0.32;0.24;6.2;0.048;31;228;0.9957;3.23;0.62;9.4;6 +5.8;0.31;0.33;1.2;0.036;23;99;0.9916;3.18;0.6;10.5;6 +7;0.23;0.42;18.05;0.05;35;144;0.9999;3.22;0.42;8.8;5 +7;0.23;0.42;18.05;0.05;35;144;0.9999;3.22;0.42;8.8;5 +6.9;0.24;0.33;4.8;0.04;16;131;0.9936;3.26;0.64;10.7;6 +6;0.29;0.2;12.6;0.045;45;187;0.9972;3.33;0.42;9.5;5 +6.1;0.17;0.28;4.5;0.033;46;150;0.9933;3.43;0.49;10.9;6 +5.9;0.14;0.25;4.5;0.027;34;140;0.9934;3.49;0.51;10.8;6 +6.2;0.17;0.28;4.7;0.037;39;133;0.9931;3.41;0.46;10.8;7 +7.4;0.28;0.25;11.9;0.053;25;148;0.9976;3.1;0.62;9.2;5 +5.6;0.35;0.14;5;0.046;48;198;0.9937;3.3;0.71;10.3;5 +5.8;0.335;0.14;5.8;0.046;49;197;0.9937;3.3;0.71;10.3;5 +5.6;0.235;0.29;1.2;0.047;33;127;0.991;3.34;0.5;11;7 +6.1;0.28;0.25;12.9;0.054;34;189;0.9979;3.25;0.43;9;4 +6.3;0.21;0.33;13.9;0.046;68;179;0.9971;3.36;0.5;10.4;6 +6.4;0.24;0.28;11.5;0.05;34;163;0.9969;3.31;0.45;9.5;5 +6.4;0.24;0.29;11.4;0.051;32;166;0.9968;3.31;0.45;9.5;5 +6.3;0.26;0.25;7.8;0.058;44;166;0.9961;3.24;0.41;9;5 +6.5;0.33;0.72;1.1;0.061;7;151;0.993;3.09;0.57;9.5;4 +7.4;0.105;0.34;12.2;0.05;57;146;0.9973;3.16;0.37;9;6 +6;0.32;0.12;5.9;0.041;34;190;0.9944;3.16;0.72;10;5 +7.1;0.26;0.34;14.4;0.067;35;189;0.9986;3.07;0.53;9.1;7 +7.1;0.26;0.34;14.4;0.067;35;189;0.9986;3.07;0.53;9.1;7 +7.1;0.26;0.34;14.4;0.067;35;189;0.9986;3.07;0.53;9.1;7 +7.1;0.26;0.34;14.4;0.067;35;189;0.9986;3.07;0.53;9.1;7 +5.9;0.24;0.26;12.3;0.053;34;134;0.9972;3.34;0.45;9.5;6 +6.5;0.21;0.37;2.5;0.048;70;138;0.9917;3.33;0.75;11.4;7 +7.7;0.27;0.35;5.3;0.03;30;117;0.992;3.11;0.42;12.2;6 +9;0.27;0.35;4.9;0.028;27;95;0.9932;3.04;0.4;11.3;6 +7.3;0.34;0.21;3.2;0.05;14;136;0.9936;3.25;0.44;10.2;5 +6.6;0.27;0.25;3.1;0.052;41;188;0.9915;3.24;0.4;11.3;5 +6.8;0.29;0.16;1.4;0.038;122.5;234.5;0.9922;3.15;0.47;10;4 +7.1;0.28;0.26;1.9;0.049;12;86;0.9934;3.15;0.38;9.4;5 +6.8;0.25;0.34;14;0.032;47;133;0.9952;3.37;0.5;12.2;7 +7;0.57;0.1;8.3;0.094;23;188;0.9972;3.4;0.47;9.2;4 +7.1;0.28;0.26;1.9;0.049;12;86;0.9934;3.15;0.38;9.4;5 +7.1;0.17;0.38;7.4;0.052;49;182;0.9958;3.35;0.52;9.6;6 +7.8;0.28;0.22;1.4;0.056;24;130;0.9944;3.28;0.48;9.5;5 +6.8;0.22;0.37;1.7;0.036;38;195;0.9908;3.35;0.72;12.5;6 +7.1;0.17;0.38;7.4;0.052;49;182;0.9958;3.35;0.52;9.6;6 +6.1;0.14;0.25;1.3;0.047;37;173;0.9925;3.35;0.46;10;6 +6.4;0.24;0.5;11.6;0.047;60;211;0.9966;3.18;0.57;9.3;5 +7.8;0.42;0.26;9.2;0.058;34;199;0.9972;3.14;0.55;9.3;6 +6.6;0.28;0.36;1.7;0.038;22;101;0.9912;3.29;0.57;11.6;6 +7.1;0.32;0.34;14.5;0.039;46;150;0.995;3.38;0.5;12.5;8 +6.7;0.31;0.3;2.1;0.038;18;130;0.9928;3.36;0.63;10.6;6 +6.4;0.32;0.5;10.7;0.047;57;206;0.9968;3.08;0.6;9.4;5 +6.1;0.28;0.25;6.9;0.056;44;201;0.9955;3.19;0.4;9.1;6 +5.9;0.29;0.25;12;0.057;48;224;0.9981;3.23;0.41;9;6 +5.8;0.32;0.38;4.75;0.033;23;94;0.991;3.42;0.42;11.8;7 +5.8;0.32;0.38;4.75;0.033;23;94;0.991;3.42;0.42;11.8;7 +5.7;0.32;0.38;4.75;0.033;23;94;0.991;3.42;0.42;11.8;7 +6.7;0.28;0.14;1.4;0.043;64;159;0.992;3.17;0.39;10;5 +6.8;0.34;0.69;1.3;0.058;12;171;0.9931;3.06;0.47;9.7;5 +5.9;0.25;0.25;11.3;0.052;30;165;0.997;3.24;0.44;9.5;6 +6.4;0.27;0.32;4.5;0.24;61;174;0.9948;3.12;0.48;9.4;5 +8.1;0.46;0.31;1.7;0.052;50;183;0.9923;3.03;0.42;11.2;5 +6.2;0.36;0.26;13.2;0.051;54;201;0.9976;3.25;0.46;9;5 +6.8;0.22;0.35;5.5;0.043;21;114;0.9938;3.3;0.53;10.7;7 +6.8;0.67;0.3;13;0.29;22;193;0.9984;3.08;0.67;9;4 +7.2;0.28;0.3;10.7;0.044;61;222;0.9972;3.14;0.5;9.1;6 +6.7;0.17;0.37;2;0.039;34;125;0.9922;3.26;0.6;10.8;7 +6.9;0.2;0.34;1.9;0.043;25;136;0.9935;3.31;0.6;10.1;4 +6.1;0.36;0.16;6.4;0.037;36;198;0.9944;3.17;0.62;9.9;6 +6;0.36;0.16;6.3;0.036;36;191;0.9942;3.17;0.62;9.8;5 +5.9;0.37;0.14;6.3;0.036;34;185;0.9944;3.17;0.63;9.8;5 +7.6;0.29;0.58;17.5;0.041;51;225;0.9997;3.16;0.66;9.5;6 +6.3;0.34;0.28;14.7;0.047;49;198;0.9977;3.23;0.46;9.5;5 +6.7;0.19;0.34;1;0.022;22;94;0.9912;3.23;0.57;11.1;6 +7.5;0.31;0.51;14.8;0.039;62;204;0.9982;3.06;0.6;9.5;5 +7.5;0.31;0.51;14.8;0.039;62;204;0.9982;3.06;0.6;9.5;5 +7.4;0.31;0.48;14.2;0.042;62;204;0.9983;3.06;0.59;9.4;5 +8.4;0.4;0.7;13.1;0.042;29;197;0.998;3.06;0.64;9.7;5 +5.9;0.34;0.22;2.4;0.03;19;135;0.9894;3.41;0.78;13.9;7 +6.6;0.38;0.18;1.2;0.042;20;84;0.9927;3.22;0.45;10.1;4 +6.4;0.33;0.28;1.1;0.038;30;110;0.9917;3.12;0.42;10.5;6 +5.6;0.25;0.26;3.6;0.037;18;115;0.9904;3.42;0.5;12.6;6 +8.6;0.27;0.46;6.1;0.032;13;41;0.993;2.89;0.34;10.9;5 +6.2;0.31;0.21;6.3;0.041;50;218;0.9941;3.15;0.6;10;5 +7.2;0.18;0.45;4.4;0.046;57;166;0.9943;3.13;0.62;11.2;6 +7.7;0.2;0.44;13.9;0.05;44;130;0.99855;3.11;0.48;10;6 +6.2;0.47;0.21;1;0.044;13;98;0.99345;3.14;0.46;9.2;5 +6.1;0.25;0.24;12.1;0.046;51;172;0.998;3.35;0.45;9.5;5 +8.2;0.27;0.43;1.6;0.035;31;128;0.9916;3.1;0.5;12.3;6 +8.2;0.27;0.43;1.6;0.035;31;128;0.9916;3.1;0.5;12.3;6 +6.4;0.31;0.39;7.5;0.04;57;213;0.99475;3.32;0.43;10;5 +6;0.39;0.26;2.7;0.038;39;187;0.99325;3.41;0.5;10.8;6 +6.2;0.21;0.27;1.7;0.038;41;150;0.9933;3.49;0.71;10.5;7 +7.7;0.42;0.31;9.2;0.048;22;221;0.9969;3.06;0.61;9.2;6 +7;0.27;0.41;18.75;0.042;34;157;1.0002;2.96;0.5;9.1;5 +6.2;0.21;0.27;1.7;0.038;41;150;0.9933;3.49;0.71;10.5;7 +7.4;0.29;0.5;1.8;0.042;35;127;0.9937;3.45;0.5;10.2;7 +6.6;0.29;0.44;9;0.053;62;178;0.99685;3.02;0.45;8.9;5 +6;0.3;0.44;1.5;0.046;15;182;0.99455;3.5;0.52;10.4;5 +6.9;0.31;0.34;1.6;0.032;23;128;0.9917;3.37;0.47;11.7;6 +6.6;0.33;0.31;1.3;0.02;29;89;0.99035;3.26;0.44;12.4;8 +7.8;0.3;0.4;1.8;0.028;23;122;0.9914;3.14;0.39;10.9;7 +6.4;0.39;0.21;1.2;0.041;35;136;0.99225;3.15;0.46;10.2;5 +6.4;0.24;0.31;2.8;0.038;41;114;0.99155;3.37;0.66;11.7;7 +7;0.21;0.34;8;0.057;19;101;0.9954;2.99;0.59;9.4;5 +6.4;0.16;0.31;5.3;0.043;42;157;0.99455;3.35;0.47;10.5;5 +6;0.33;0.27;0.8;0.185;12;188;0.9924;3.12;0.62;9.4;5 +6.5;0.23;0.33;13.8;0.042;25;139;0.99695;3.35;0.56;10.4;6 +6.2;0.25;0.48;10;0.044;78;240;0.99655;3.25;0.47;9.5;6 +8.8;0.28;0.45;6;0.022;14;49;0.9934;3.01;0.33;11.1;7 +6.6;0.25;0.3;14.4;0.052;40;183;0.998;3.02;0.5;9.1;6 +6.9;0.38;0.25;9.8;0.04;28;191;0.9971;3.28;0.61;9.2;5 +6.4;0.25;0.3;5.5;0.038;15;129;0.9948;3.14;0.49;9.6;6 +6.6;0.25;0.3;14.4;0.052;40;183;0.998;3.02;0.5;9.1;6 +6.9;0.38;0.25;9.8;0.04;28;191;0.9971;3.28;0.61;9.2;5 +7.1;0.21;0.31;3.8;0.021;40;142;0.99215;3.17;0.39;10.8;7 +6.4;0.25;0.3;5.5;0.038;15;129;0.9948;3.14;0.49;9.6;6 +6.9;0.39;0.4;4.6;0.022;5;19;0.9915;3.31;0.37;12.6;3 +5.8;0.2;0.3;1.5;0.031;21;57;0.99115;3.44;0.55;11;6 +7;0.2;0.37;2;0.03;26;136;0.9932;3.28;0.61;10.2;6 +5.9;0.26;0.25;12.5;0.034;38;152;0.9977;3.33;0.43;9.4;5 +7.4;0.38;0.27;7.5;0.041;24;160;0.99535;3.17;0.43;10;5 +7.4;0.2;1.66;2.1;0.022;34;113;0.99165;3.26;0.55;12.2;6 +7;0.21;0.34;8.5;0.033;31;253;0.9953;3.22;0.56;10.5;6 +7.2;0.29;0.4;7.6;0.024;56;177;0.9928;3.04;0.32;11.5;6 +6.9;0.18;0.38;8.1;0.049;44;176;0.9958;3.3;0.54;9.8;6 +7.3;0.3;0.42;7.35;0.025;51;175;0.9928;3.04;0.32;11.4;6 +7.2;0.29;0.4;7.6;0.024;56;177;0.9928;3.04;0.32;11.5;6 +6.9;0.2;0.5;10;0.036;78;167;0.9964;3.15;0.55;10.2;6 +6.7;0.2;0.42;14;0.038;83;160;0.9987;3.16;0.5;9.4;6 +7;0.21;0.34;8.5;0.033;31;253;0.9953;3.22;0.56;10.5;6 +5.9;0.35;0.47;2.2;0.11;14;138;0.9932;3.09;0.5;9.1;5 +7.1;0.28;0.44;1.8;0.032;32;107;0.9907;3.25;0.48;12.2;7 +5.8;0.25;0.28;11.1;0.056;45;175;0.99755;3.42;0.43;9.5;5 +6.8;0.22;0.37;15.2;0.051;68;178;0.99935;3.4;0.85;9.3;6 +7.1;0.14;0.4;1.2;0.051;55;136;0.9932;3.3;0.96;9.8;7 +7.1;0.13;0.4;1.2;0.047;54;134;0.9932;3.3;0.97;9.8;7 +6.9;0.18;0.38;8.1;0.049;44;176;0.9958;3.3;0.54;9.8;6 +7;0.2;0.38;8.1;0.05;42;173;0.99585;3.3;0.54;9.8;6 +6.8;0.24;0.49;19.3;0.057;55;247;1.00055;3;0.56;8.7;5 +5;0.44;0.04;18.6;0.039;38;128;0.9985;3.37;0.57;10.2;6 +6.3;0.3;0.28;5;0.042;36;168;0.99505;3.22;0.69;9.5;6 +7.2;0.27;0.42;1.6;0.05;35;135;0.992;2.94;0.46;11;6 +6.7;0.5;0.63;13.4;0.078;81;238;0.9988;3.08;0.44;9.2;5 +6.8;0.2;0.36;1.6;0.028;7;46;0.99175;3.21;0.6;10.9;6 +6.7;0.11;0.34;8.8;0.043;41;113;0.9962;3.42;0.4;9.3;7 +6.7;0.11;0.34;8.8;0.043;41;113;0.9962;3.42;0.4;9.3;7 +6.8;0.12;0.31;5.2;0.045;29;120;0.9942;3.41;0.46;9.8;7 +6.6;0.16;0.57;1.1;0.13;58;140;0.9927;3.12;0.39;9.3;7 +6.6;0.21;0.6;1.1;0.135;61;144;0.9927;3.12;0.39;9.3;7 +6.1;0.27;0.3;16.7;0.039;49;172;0.99985;3.4;0.45;9.4;5 +9.1;0.27;0.45;10.6;0.035;28;124;0.997;3.2;0.46;10.4;9 +6.4;0.225;0.48;2.2;0.115;29;104;0.9918;3.24;0.58;12.1;6 +8.3;0.14;0.45;1.5;0.039;18;98;0.99215;3.02;0.56;11;6 +7.2;0.23;0.19;13.7;0.052;47;197;0.99865;3.12;0.53;9;5 +6.9;0.22;0.37;15;0.053;59;178;0.9992;3.37;0.82;9.5;7 +8.1;0.17;0.44;14.1;0.053;43;145;1.0006;3.28;0.75;8.8;8 +6;0.395;0;1.4;0.042;7;55;0.99135;3.37;0.38;11.2;4 +7.8;0.29;0.22;9.5;0.056;44;213;0.99715;3.08;0.61;9.3;6 +6.9;0.22;0.37;15;0.053;59;178;0.9992;3.37;0.82;9.5;7 +8.1;0.17;0.44;14.1;0.053;43;145;1.0006;3.28;0.75;8.8;8 +7.2;0.23;0.19;13.7;0.052;47;197;0.99865;3.12;0.53;9;5 +7.6;0.3;0.27;10.6;0.039;31;119;0.99815;3.27;0.3;9.3;6 +7.7;0.34;0.28;11;0.04;31;117;0.99815;3.27;0.29;9.2;6 +7.7;0.34;0.28;11;0.04;31;117;0.99815;3.27;0.29;9.2;6 +5.8;0.34;0.16;7;0.037;26;116;0.9949;3.46;0.45;10;7 +7.6;0.3;0.27;10.6;0.039;31;119;0.99815;3.27;0.3;9.3;6 +7.7;0.34;0.28;11;0.04;31;117;0.99815;3.27;0.29;9.2;6 +5.9;0.24;0.3;2;0.033;28;92;0.99225;3.39;0.69;10.9;7 +6.4;0.46;0.08;4.9;0.046;34;144;0.99445;3.1;0.56;10;5 +5.9;0.24;0.3;2;0.033;28;92;0.99225;3.39;0.69;10.9;7 +7.4;0.32;0.27;1.4;0.049;38;173;0.99335;3.03;0.52;9.3;5 +7.2;0.31;0.26;7.3;0.05;37;157;0.99625;3.09;0.43;9;5 +7.8;0.42;0.23;8.8;0.054;42;215;0.9971;3.02;0.58;9.2;6 +6.9;0.24;0.33;12.5;0.046;47;153;0.9983;3.28;0.77;9.6;6 +5.4;0.18;0.24;4.8;0.041;30;113;0.99445;3.42;0.4;9.4;6 +6;0.18;0.31;1.4;0.036;14;75;0.99085;3.34;0.58;11.1;8 +7.8;0.27;0.58;11.2;0.036;44;161;0.9977;3.06;0.41;8.9;6 +6;0.28;0.49;6.8;0.048;61;222;0.9953;3.19;0.47;9.3;5 +6.8;0.39;0.35;11.6;0.044;57;220;0.99775;3.07;0.53;9.3;5 +6.6;0.21;0.31;11.4;0.039;46;165;0.99795;3.41;0.44;9.8;7 +7.3;0.32;0.34;6.6;0.032;24;112;0.99505;3.22;0.46;9.8;6 +7.8;0.27;0.58;11.2;0.036;44;161;0.9977;3.06;0.41;8.9;6 +6.4;0.31;0.26;13.2;0.046;57;205;0.9975;3.17;0.41;9.6;5 +6.2;0.29;0.26;13.1;0.046;55;204;0.99745;3.16;0.41;9.6;6 +6;0.39;0.17;12;0.046;65;246;0.9976;3.15;0.38;9;6 +6.2;0.3;0.26;13.4;0.046;57;206;0.99775;3.17;0.43;9.5;6 +6;0.28;0.49;6.8;0.048;61;222;0.9953;3.19;0.47;9.3;5 +6;0.41;0.05;1.5;0.063;17;120;0.9932;3.21;0.56;9.2;6 +6.4;0.35;0.28;1.1;0.055;9;160;0.99405;3.42;0.5;9.1;7 +6.5;0.26;0.32;16.5;0.045;44;166;1;3.38;0.46;9.5;6 +7.9;0.35;0.24;15.6;0.072;44;229;0.99785;3.03;0.59;10.5;6 +6.2;0.3;0.17;2.8;0.04;24;125;0.9939;3.01;0.46;9;5 +8.4;0.18;0.42;5.1;0.036;7;77;0.9939;3.16;0.52;11.7;5 +6.6;0.56;0.22;8.9;0.034;27;133;0.99675;3.2;0.51;9.1;5 +6.2;0.3;0.17;2.8;0.04;24;125;0.9939;3.01;0.46;9;5 +6.6;0.56;0.22;8.9;0.034;27;133;0.99675;3.2;0.51;9.1;5 +6.6;0.36;0.29;1.6;0.021;24;85;0.98965;3.41;0.61;12.4;9 +7.3;0.655;0.2;10.2;0.071;28;212;0.9971;2.96;0.58;9.2;6 +6.8;0.18;0.21;5.4;0.053;34;104;0.99445;3.3;0.43;9.4;5 +6.7;0.19;0.23;6.2;0.047;36;117;0.9945;3.34;0.43;9.6;6 +8.4;0.18;0.42;5.1;0.036;7;77;0.9939;3.16;0.52;11.7;5 +7;0.21;0.37;7.2;0.042;36;167;0.9958;3.26;0.56;9.8;6 +6.8;0.25;0.38;8.1;0.046;24;155;0.9956;3.33;0.59;10.2;6 +7.4;0.24;0.36;2;0.031;27;139;0.99055;3.28;0.48;12.5;9 +7.1;0.16;0.36;10.7;0.044;20;90;0.9959;3.16;0.44;10.9;7 +7.1;0.16;0.36;1.2;0.043;21;90;0.9925;3.16;0.42;11;7 +7.3;0.205;0.31;1.7;0.06;34;110;0.9963;3.72;0.69;10.5;6 +7.4;0.17;0.4;5.5;0.037;34;161;0.9935;3.05;0.62;11.5;4 +7.3;0.3;0.34;2.7;0.044;34;108;0.99105;3.36;0.53;12.8;8 +6.9;0.25;0.34;1.3;0.035;27;82;0.99045;3.18;0.44;12.2;6 +7.3;0.205;0.31;1.7;0.06;34;110;0.9963;3.72;0.69;10.5;6 +7.5;0.42;0.34;4.3;0.04;34;108;0.99155;3.14;0.45;12.8;8 +7.3;0.25;0.36;2.1;0.034;30;177;0.99085;3.25;0.4;11.9;8 +7.3;0.25;0.36;2.1;0.034;30;177;0.99085;3.25;0.4;11.9;8 +7.3;0.25;0.36;2.1;0.034;30;177;0.99085;3.25;0.4;11.9;8 +7.5;0.34;0.35;6;0.034;12;126;0.9924;3.16;0.39;12;7 +7.6;0.33;0.35;6.3;0.036;12;126;0.9924;3.16;0.39;12;7 +8.7;0.23;0.32;13.4;0.044;35;169;0.99975;3.12;0.47;8.8;7 +8.7;0.23;0.32;13.4;0.044;35;169;0.99975;3.12;0.47;8.8;7 +6.9;0.19;0.35;1.7;0.036;33;101;0.99315;3.21;0.54;10.8;7 +7.3;0.21;0.29;1.6;0.034;29;118;0.9917;3.3;0.5;11;8 +7.3;0.21;0.29;1.6;0.034;29;118;0.9917;3.3;0.5;11;8 +6.6;0.22;0.37;15.4;0.035;62;153;0.99845;3.02;0.4;9.3;5 +9.2;0.34;0.27;1.2;0.026;17;73;0.9921;3.08;0.39;10.8;5 +8.7;0.23;0.32;13.4;0.044;35;169;0.99975;3.12;0.47;8.8;7 +6;0.2;0.24;1.8;0.03;30;105;0.9909;3.31;0.47;11.5;6 +6.9;0.19;0.35;1.7;0.036;33;101;0.99315;3.21;0.54;10.8;7 +8.2;0.38;0.49;13.6;0.042;58;166;0.99855;3.1;0.54;9.4;5 +6.9;0.18;0.36;1.3;0.036;40;117;0.9934;3.27;0.95;9.5;7 +7.7;0.34;0.58;11.1;0.039;41;151;0.9978;3.06;0.49;8.6;5 +6.9;0.18;0.36;1.3;0.036;40;117;0.9934;3.27;0.95;9.5;7 +7.4;0.2;0.35;2.1;0.038;30;116;0.9949;3.49;0.77;10.3;7 +8.2;0.38;0.49;13.6;0.042;58;166;0.99855;3.1;0.54;9.4;5 +8.2;0.4;0.48;13.7;0.042;59;169;0.9986;3.1;0.52;9.4;5 +6.7;0.22;0.39;10.2;0.038;60;149;0.99725;3.17;0.54;10;7 +6.6;0.3;0.3;4.8;0.17;60;166;0.9946;3.18;0.47;9.4;5 +8.1;0.27;0.35;1.7;0.03;38;103;0.99255;3.22;0.63;10.4;8 +7.3;0.25;0.42;14.2;0.041;57;182;0.9996;3.29;0.75;9.1;7 +4.8;0.34;0;6.5;0.028;33;163;0.9939;3.36;0.61;9.9;6 +6.2;0.28;0.33;1.7;0.029;24;111;0.99;3.24;0.5;12.1;6 +4.8;0.33;0;6.5;0.028;34;163;0.9937;3.35;0.61;9.9;5 +6.1;0.27;0.33;2.2;0.021;26;117;0.9886;3.12;0.3;12.5;6 +6.9;0.18;0.36;1.3;0.036;40;117;0.9934;3.27;0.95;9.5;7 +7.8;0.18;0.46;12.6;0.042;41;143;1;3.24;0.76;8.5;8 +7.3;0.28;0.42;14.4;0.04;49;173;0.9994;3.28;0.82;9;7 +7.3;0.24;0.29;1.2;0.037;37;97;0.9926;3.19;0.7;10.1;6 +6;0.45;0.65;9.7;0.08;11;159;0.9956;3.04;0.48;9.4;5 +7.7;0.34;0.58;11.1;0.039;41;151;0.9978;3.06;0.49;8.6;5 +6.3;0.26;0.21;4;0.03;24;125;0.9915;3.06;0.34;10.7;6 +10.3;0.17;0.47;1.4;0.037;5;33;0.9939;2.89;0.28;9.6;3 +7.7;0.15;0.29;1.3;0.029;10;64;0.9932;3.35;0.39;10.1;5 +7.1;0.21;0.32;2.2;0.037;28;141;0.993;3.2;0.57;10;7 +6.9;0.36;0.34;4.2;0.018;57;119;0.9898;3.28;0.36;12.7;9 +6;0.28;0.34;1.6;0.119;33;104;0.9921;3.19;0.38;10.2;6 +6.2;0.16;0.54;1.4;0.126;37;110;0.9932;3.23;0.37;8.9;6 +6.9;0.12;0.36;2.2;0.037;18;111;0.9919;3.41;0.82;11.9;8 +7.1;0.21;0.32;2.2;0.037;28;141;0.993;3.2;0.57;10;7 +8.8;0.36;0.44;1.9;0.04;9;121;0.9953;3.19;0.48;9.9;6 +7.4;0.26;0.43;6;0.022;22;125;0.9928;3.13;0.55;11.5;6 +7.4;0.26;0.43;6;0.022;22;125;0.9928;3.13;0.55;11.5;6 +6.8;0.23;0.29;12.2;0.035;38;236;0.9976;3.35;0.52;9.8;6 +6.1;0.34;0.27;2.6;0.024;20;105;0.9906;3.4;0.67;12.2;7 +7.3;0.26;0.31;1.6;0.04;39;173;0.9918;3.19;0.51;11.4;6 +6.5;0.3;0.32;2;0.044;34;90;0.99185;3.37;0.68;11;7 +7.3;0.26;0.31;1.6;0.04;39;173;0.9918;3.19;0.51;11.4;6 +6.5;0.3;0.32;2;0.044;34;90;0.99185;3.37;0.68;11;7 +5;0.31;0;6.4;0.046;43;166;0.994;3.3;0.63;9.9;6 +5.8;0.26;0.18;1.2;0.031;40;114;0.9908;3.42;0.4;11;7 +5.9;0.26;0.3;1;0.036;38;114;0.9928;3.58;0.48;9.4;5 +7;0.31;0.29;1.4;0.037;33;128;0.9896;3.12;0.36;12.2;7 +5.8;0.26;0.18;1.2;0.031;40;114;0.9908;3.42;0.4;11;7 +5.6;0.19;0.39;1.1;0.043;17;67;0.9918;3.23;0.53;10.3;6 +6.8;0.18;0.28;8.7;0.047;52;242;0.9952;3.22;0.53;10.5;6 +7;0.29;0.26;1.6;0.044;12;87;0.9923;3.08;0.46;10.5;6 +6.6;0.26;0.29;1.4;0.039;13;67;0.9915;3.05;0.49;10.9;6 +6.8;0.18;0.28;8.5;0.047;52;242;0.9952;3.22;0.53;10.5;6 +6.6;0.2;0.38;7.9;0.052;30;145;0.9947;3.32;0.56;11;7 +8;0.29;0.29;13.2;0.046;26;113;0.9983;3.25;0.37;9.7;6 +6.1;0.28;0.35;12.8;0.048;63;229;0.9975;3.08;0.4;8.9;5 +5.9;0.31;0.3;7.7;0.047;60;206;0.995;3.2;0.39;9.6;6 +6.9;0.21;0.28;2.4;0.056;49;159;0.9944;3.02;0.47;8.8;8 +8.4;0.19;0.42;1.6;0.047;9;101;0.994;3.06;0.65;11.1;4 +8.3;0.27;0.45;1.3;0.048;8;72;0.9944;3.08;0.61;10.3;4 +7.1;0.25;0.39;2.1;0.036;30;124;0.9908;3.28;0.43;12.2;8 +8;0.23;0.37;9.6;0.054;23;159;0.99795;3.32;0.47;9.8;4 +7.5;0.24;0.31;13;0.049;46;217;0.9985;3.08;0.53;8.8;5 +6.3;0.33;0.2;5.8;0.04;24;144;0.99425;3.15;0.63;9.9;5 +6.2;0.33;0.19;5.6;0.042;22;143;0.99425;3.15;0.63;9.9;5 +6.3;0.34;0.19;5.8;0.041;22;145;0.9943;3.15;0.63;9.9;5 +5.8;0.29;0.05;0.8;0.038;11;30;0.9924;3.36;0.35;9.2;5 +8;0.32;0.26;1.2;0.05;11.5;88;0.9946;3.24;0.37;9.5;4 +5.6;0.29;0.05;0.8;0.038;11;30;0.9924;3.36;0.35;9.2;5 +7.4;0.13;0.39;4.7;0.042;36;137;0.995;3.36;0.56;10.3;7 +7.7;0.3;0.32;1.6;0.037;23;124;0.9919;2.93;0.33;11;6 +7;0.24;0.34;1.4;0.031;27;107;0.99;3.06;0.39;11.9;6 +8.6;0.18;0.4;1.1;0.04;20;107;0.9923;2.94;0.32;10.2;7 +7;0.11;0.32;4.6;0.057;59;144;0.9956;3.55;0.44;9.4;7 +7.7;0.32;0.62;10.6;0.036;56;153;0.9978;3.13;0.44;8.9;6 +7.7;0.32;0.62;10.6;0.036;56;153;0.9978;3.13;0.44;8.9;6 +6.5;0.26;0.27;12.9;0.044;69;215;0.9967;3.17;0.43;10;6 +7.9;0.28;0.41;2;0.044;50;152;0.9934;3.45;0.49;10.7;8 +6.3;0.27;0.23;2.9;0.047;13;100;0.9936;3.28;0.43;9.8;5 +5.4;0.595;0.1;2.8;0.042;26;80;0.9932;3.36;0.38;9.3;5 +6.7;0.25;0.33;2.9;0.057;52;173;0.9934;3.02;0.48;9.5;7 +6.5;0.25;0.35;12;0.055;47;179;0.998;3.58;0.47;10;5 +6.1;0.36;0.58;15;0.044;42;115;0.9978;3.15;0.51;9;5 +7.7;0.17;0.52;5.9;0.017;21;84;0.9929;3.14;0.4;11.9;7 +6.4;0.26;0.43;12.6;0.033;64;230;0.9974;3.08;0.38;8.9;5 +6.5;0.26;0.28;12.5;0.046;80;225;0.99685;3.18;0.41;10;6 +5.9;0.29;0.33;7.4;0.037;58;205;0.99495;3.26;0.41;9.6;5 +6.2;0.28;0.43;13;0.039;64;233;0.99745;3.08;0.38;8.9;5 +6.1;0.27;0.44;6.7;0.041;61;230;0.99505;3.12;0.4;8.9;5 +6.4;0.43;0.32;1.4;0.048;10;67;0.992;3.08;0.41;11.4;5 +6.1;0.36;0.58;15;0.044;42;115;0.9978;3.15;0.51;9;5 +6.2;0.35;0.29;7.3;0.044;56;244;0.9956;3.36;0.55;10;6 +7.7;0.24;0.29;15.3;0.044;39;194;0.9982;3.06;0.47;9.6;7 +6.2;0.34;0.28;7.5;0.034;40;197;0.99485;3.14;0.6;9.7;5 +6.3;0.27;0.46;11.75;0.037;61;212;0.9971;3.25;0.53;9.5;6 +5.4;0.415;0.19;1.6;0.039;27;88;0.99265;3.54;0.41;10;7 +6.9;0.48;0.36;3.5;0.03;31;135;0.9904;3.14;0.38;12.2;7 +6.5;0.18;0.33;8;0.051;16;131;0.9965;3.28;0.44;8.7;7 +6.7;0.15;0.29;5;0.058;28;105;0.9946;3.52;0.44;10.2;7 +8.2;0.345;1;18.2;0.047;55;205;0.99965;2.96;0.43;9.6;5 +8.5;0.16;0.35;1.6;0.039;24;147;0.9935;2.96;0.36;10;5 +6.8;0.705;0.25;3.2;0.048;10;57;0.996;3.36;0.52;9.5;4 +7.3;0.25;0.39;6.4;0.034;8;84;0.9942;3.18;0.46;11.5;5 +7.6;0.345;0.26;1.9;0.043;15;134;0.9936;3.08;0.38;9.5;5 +7.6;0.22;0.34;9.7;0.035;26;143;0.9965;3.08;0.49;9.8;6 +6.5;0.17;0.33;1.4;0.028;14;99;0.9928;3.23;0.55;10.1;6 +8.2;0.23;0.37;1.3;0.042;39;117;0.9928;2.99;0.36;10;5 +7.6;0.22;0.34;9.7;0.035;26;143;0.9965;3.08;0.49;9.8;6 +7.6;0.345;0.26;1.9;0.043;15;134;0.9936;3.08;0.38;9.5;5 +7.5;0.32;0.26;1.8;0.042;13;133;0.9938;3.07;0.38;9.5;5 +6.6;0.23;0.32;0.9;0.041;25;79;0.9926;3.39;0.54;10.2;7 +6.6;0.2;0.32;1.1;0.039;25;78;0.9926;3.39;0.54;10.2;7 +7.3;0.24;0.34;15.4;0.05;38;174;0.9983;3.03;0.42;9;6 +7.3;0.24;0.34;15.4;0.05;38;174;0.9983;3.03;0.42;9;6 +8;0.42;0.36;5;0.037;34;101;0.992;3.13;0.57;12.3;7 +7.3;0.24;0.34;15.4;0.05;38;174;0.9983;3.03;0.42;9;6 +6.1;0.19;0.25;4;0.023;23;112;0.9923;3.37;0.51;11.6;6 +5.9;0.26;0.21;12.5;0.034;36;152;0.9972;3.28;0.43;9.5;6 +8.3;0.23;0.43;3.2;0.035;14;101;0.9928;3.15;0.36;11.5;5 +6.5;0.34;0.28;1.8;0.041;43;188;0.9928;3.13;0.37;9.6;6 +6.8;0.22;0.35;17.5;0.039;38;153;0.9994;3.24;0.42;9;6 +6.5;0.08;0.33;1.9;0.028;23;93;0.991;3.34;0.7;12;7 +5.5;0.42;0.09;1.6;0.019;18;68;0.9906;3.33;0.51;11.4;7 +5.1;0.42;0.01;1.5;0.017;25;102;0.9894;3.38;0.36;12.3;7 +6;0.27;0.19;1.7;0.02;24;110;0.9898;3.32;0.47;12.6;7 +6.8;0.22;0.35;17.5;0.039;38;153;0.9994;3.24;0.42;9;6 +6.5;0.08;0.33;1.9;0.028;23;93;0.991;3.34;0.7;12;7 +7.1;0.13;0.38;1.8;0.046;14;114;0.9925;3.32;0.9;11.7;6 +7.6;0.3;0.25;4.3;0.054;22;111;0.9956;3.12;0.49;9.2;5 +6.6;0.13;0.3;4.9;0.058;47;131;0.9946;3.51;0.45;10.3;6 +6.5;0.14;0.33;7.6;0.05;53;189;0.9966;3.25;0.49;8.6;5 +7.7;0.28;0.33;6.7;0.037;32;155;0.9951;3.39;0.62;10.7;7 +6;0.2;0.71;1.6;0.15;10;54;0.9927;3.12;0.47;9.8;5 +6;0.19;0.71;1.5;0.152;9;55;0.9927;3.12;0.46;9.8;6 +7.7;0.28;0.33;6.7;0.037;32;155;0.9951;3.39;0.62;10.7;7 +5.1;0.39;0.21;1.7;0.027;15;72;0.9894;3.5;0.45;12.5;6 +5.7;0.36;0.34;4.2;0.026;21;77;0.9907;3.41;0.45;11.9;6 +6.9;0.19;0.33;1.6;0.043;63;149;0.9925;3.44;0.52;10.8;5 +6;0.41;0.21;1.9;0.05;29;122;0.9928;3.42;0.52;10.5;6 +7.4;0.28;0.3;5.3;0.054;44;161;0.9941;3.12;0.48;10.3;6 +7.4;0.3;0.3;5.2;0.053;45;163;0.9941;3.12;0.45;10.3;6 +6.9;0.19;0.33;1.6;0.043;63;149;0.9925;3.44;0.52;10.8;5 +7.7;0.28;0.39;8.9;0.036;8;117;0.9935;3.06;0.38;12;7 +8.6;0.16;0.38;3.4;0.04;41;143;0.9932;2.95;0.39;10.2;6 +8.2;0.26;0.44;1.3;0.046;7;69;0.9944;3.14;0.62;10.2;4 +6.5;0.25;0.27;15.2;0.049;75;217;0.9972;3.19;0.39;9.9;5 +7;0.24;0.18;1.3;0.046;9;62;0.994;3.38;0.47;10.1;4 +8.6;0.18;0.36;1.8;0.04;24;187;0.9956;3.25;0.55;9.5;6 +7.8;0.27;0.34;1.6;0.046;27;154;0.9927;3.05;0.45;10.5;6 +6;0.26;0.34;1.3;0.046;6;29;0.9924;3.29;0.63;10.4;5 +6.1;0.24;0.27;9.8;0.062;33;152;0.9966;3.31;0.47;9.5;6 +8;0.24;0.3;17.45;0.056;43;184;0.9997;3.05;0.5;9.2;6 +7.6;0.21;0.6;2.1;0.046;47;165;0.9936;3.05;0.54;10.1;7 +8;0.19;0.36;1.8;0.05;16;84;0.9936;3.15;0.45;9.8;7 +6.4;0.28;0.41;6.8;0.045;61;216;0.9952;3.09;0.46;9.4;5 +6.4;0.28;0.43;7.1;0.045;60;221;0.9952;3.09;0.45;9.4;6 +6.9;0.24;0.39;1.3;0.063;18;136;0.9928;3.31;0.48;10.4;7 +5.8;0.36;0.26;3.3;0.038;40;153;0.9911;3.34;0.55;11.3;6 +6.6;0.18;0.28;3.3;0.044;18;91;0.993;3.42;0.64;10.8;6 +5.8;0.36;0.26;3.3;0.038;40;153;0.9911;3.34;0.55;11.3;6 +5.1;0.52;0.06;2.7;0.052;30;79;0.9932;3.32;0.43;9.3;5 +6.6;0.22;0.37;1.2;0.059;45;199;0.993;3.37;0.55;10.3;7 +8.3;0.15;0.39;1.3;0.055;32;146;0.993;3.08;0.39;10.5;6 +7.6;0.16;0.44;1.4;0.043;25;109;0.9932;3.11;0.75;10.3;6 +7.7;0.16;0.41;1.7;0.048;60;173;0.9932;3.24;0.66;11.2;7 +8.3;0.16;0.48;1.7;0.057;31;98;0.9943;3.15;0.41;10.3;6 +6.2;0.25;0.47;11.6;0.048;62;210;0.9968;3.19;0.5;9.5;5 +6.1;0.16;0.27;12.6;0.064;63;162;0.9994;3.66;0.43;8.9;5 +7.6;0.39;0.22;2.8;0.036;19;113;0.9926;3.03;0.29;10.2;5 +6.8;0.37;0.47;11.2;0.071;44;136;0.9968;2.98;0.88;9.2;5 +7.6;0.16;0.44;1.4;0.043;25;109;0.9932;3.11;0.75;10.3;6 +7.1;0.18;0.42;1.4;0.045;47;157;0.9916;2.95;0.31;10.5;6 +8.3;0.14;0.26;1.5;0.049;56;189;0.9946;3.21;0.62;9.5;6 +8.6;0.2;0.42;1.5;0.041;35;125;0.9925;3.11;0.49;11.4;7 +8.6;0.2;0.42;1.5;0.041;35;125;0.9925;3.11;0.49;11.4;7 +6.8;0.19;0.32;7.05;0.019;54;188;0.9935;3.25;0.37;11.1;8 +7.6;0.19;0.38;10.6;0.06;48;174;0.9962;3.13;0.38;10.5;6 +6.8;0.34;0.74;2.8;0.088;23;185;0.9928;3.51;0.7;12;6 +6.2;0.15;0.46;1.6;0.039;38;123;0.993;3.38;0.51;9.7;6 +6.6;0.14;0.44;1.6;0.042;47;140;0.993;3.32;0.51;10.2;6 +8;0.55;0.17;8.2;0.04;13;60;0.9956;3.09;0.3;9.5;4 +7;0.24;0.35;1.5;0.052;51;128;0.9941;3.41;0.59;10.4;7 +6.3;0.6;0.44;11;0.05;50;245;0.9972;3.19;0.57;9.3;4 +7.1;0.2;0.41;2.1;0.054;24;166;0.9948;3.48;0.62;10.5;6 +6.2;0.34;0.29;7.6;0.047;45;232;0.9955;3.35;0.62;10;6 +7.1;0.3;0.36;6.8;0.055;44.5;234;0.9972;3.49;0.64;10.2;6 +7.1;0.3;0.36;6.8;0.055;44.5;234;0.9972;3.49;0.64;10.2;6 +7.9;0.64;0.46;10.6;0.244;33;227;0.9983;2.87;0.74;9.1;3 +8.8;0.17;0.38;1.8;0.04;39;148;0.9942;3.16;0.67;10.2;6 +7.5;0.17;0.37;1.5;0.06;18;75;0.9936;3.54;0.88;10.7;5 +7.1;0.47;0.24;6;0.044;11;77;0.9956;3.21;0.56;9.7;5 +7.1;0.15;0.34;5.3;0.034;33;104;0.9953;3.37;0.52;9.3;7 +7.5;0.17;0.34;1.4;0.035;13;102;0.9918;3.05;0.74;11;5 +8.2;0.68;0.3;2.1;0.047;17;138;0.995;3.22;0.71;10.8;4 +7.7;0.275;0.3;1;0.039;19;75;0.992;3.01;0.56;10.7;5 +7.3;0.49;0.32;5.2;0.043;18;104;0.9952;3.24;0.45;10.7;4 +7.5;0.33;0.48;19.45;0.048;55;243;1.001;2.95;0.4;8.8;5 +7.2;0.21;0.37;1.6;0.049;23;94;0.9924;3.16;0.48;10.9;7 +7.3;0.15;0.4;2;0.05;24;92;0.9932;3.14;0.45;10.5;5 +6.5;0.19;0.1;1.3;0.046;23;107;0.9937;3.29;0.45;10;5 +7;0.31;0.52;1.7;0.029;5;61;0.9918;3.07;0.43;10.4;5 +8.3;0.4;0.38;1.1;0.038;15;75;0.9934;3.03;0.43;9.2;5 +6.1;0.37;0.36;4.7;0.035;36;116;0.991;3.31;0.62;12.6;6 +7.3;0.24;0.34;7.5;0.048;29;152;0.9962;3.1;0.54;9;5 +6.9;0.21;0.81;1.1;0.137;52;123;0.9932;3.03;0.39;9.2;6 +7.6;0.29;0.42;1.3;0.035;18;86;0.9908;2.99;0.39;11.3;5 +9.4;0.29;0.55;2.2;0.05;17;119;0.9962;3.12;0.69;10.3;4 +7;0.31;0.52;1.7;0.029;5;61;0.9918;3.07;0.43;10.4;5 +8.6;0.26;0.41;2.2;0.049;29;111;0.9941;2.96;0.44;10;5 +7.5;0.21;0.34;1.2;0.06;26;111;0.9931;3.51;0.47;10.7;6 +7.2;0.51;0.24;10;0.093;35;197;0.9981;3.41;0.47;9;5 +7.5;0.21;0.34;1.2;0.06;26;111;0.9931;3.51;0.47;10.7;6 +5.3;0.3;0.2;1.1;0.077;48;166;0.9944;3.3;0.54;8.7;4 +8;0.26;0.36;2;0.054;30;121;0.992;3.09;0.72;11.6;7 +7;0.21;0.28;7.5;0.07;45;185;0.9966;3.34;0.55;9.4;5 +6.7;0.26;0.26;4;0.079;35.5;216;0.9956;3.31;0.68;9.5;5 +6.7;0.26;0.26;4.1;0.073;36;202;0.9956;3.3;0.67;9.5;5 +8.1;0.26;0.37;1.9;0.072;48;159;0.9949;3.37;0.7;10.9;6 +8.3;0.22;0.38;14.8;0.054;32;126;1.0002;3.22;0.5;9.7;5 +6.4;0.3;0.51;5.5;0.048;62;172;0.9942;3.08;0.45;9.1;6 +7.5;0.19;0.34;2.6;0.037;33;125;0.9923;3.1;0.49;11.1;7 +8.8;0.33;0.44;6.35;0.024;9;87;0.9917;2.96;0.4;12.6;7 +6.9;0.2;0.36;1.5;0.031;38;147;0.9931;3.35;0.56;11;6 +8;0.37;0.32;1.6;0.04;32;166;0.992;3;0.55;11.3;7 +8.3;0.22;0.38;14.8;0.054;32;126;1.0002;3.22;0.5;9.7;5 +8.2;0.29;0.33;9.1;0.036;28;118;0.9953;2.96;0.4;10.9;7 +7.7;0.34;0.3;8;0.048;25;192;0.9951;2.97;0.47;10.9;5 +6.2;0.55;0.45;12;0.049;27;186;0.9974;3.17;0.5;9.3;6 +6.4;0.4;0.19;3.2;0.033;28;124;0.9904;3.22;0.54;12.7;7 +7.5;0.28;0.33;7.7;0.048;42;180;0.9974;3.37;0.59;10.1;6 +7.8;0.26;0.44;1.3;0.037;43;132;0.9944;3.18;0.65;10;5 +6.5;0.26;0.34;16.3;0.051;56;197;1.0004;3.49;0.42;9.8;5 +6.3;0.34;0.29;6.2;0.046;29;227;0.9952;3.29;0.53;10.1;6 +6.8;0.15;0.33;4.7;0.059;31;118;0.9956;3.43;0.39;9;7 +6.3;0.27;0.25;5.8;0.038;52;155;0.995;3.28;0.38;9.4;6 +6.3;0.27;0.25;5.8;0.038;52;155;0.995;3.28;0.38;9.4;6 +7.4;0.2;0.37;16.95;0.048;43;190;0.9995;3.03;0.42;9.2;6 +6.3;0.23;0.21;5.1;0.035;29;142;0.9942;3.36;0.33;10.1;7 +7.3;0.31;0.69;10.2;0.041;58;160;0.9977;3.06;0.45;8.6;5 +5.2;0.24;0.45;3.8;0.027;21;128;0.992;3.55;0.49;11.2;8 +7;0.24;0.32;1.3;0.037;39;123;0.992;3.17;0.42;11.2;8 +7.4;0.2;0.37;16.95;0.048;43;190;0.9995;3.03;0.42;9.2;6 +7;0.17;0.33;4;0.034;17;127;0.9934;3.19;0.39;10.6;7 +8.3;0.21;0.58;17.1;0.049;62;213;1.0006;3.01;0.51;9.3;6 +7.2;0.21;0.35;14.5;0.048;35;178;0.9982;3.05;0.47;8.9;6 +7.1;0.21;0.4;1.2;0.069;24;156;0.9928;3.42;0.43;10.6;6 +8.4;0.17;0.31;6.7;0.038;29;132;0.9945;3.1;0.32;10.6;7 +7.4;0.24;0.31;8.4;0.045;52;183;0.9963;3.09;0.32;8.8;5 +5.3;0.24;0.33;1.3;0.033;25;97;0.9906;3.59;0.38;11;8 +6.5;0.28;0.26;8.8;0.04;44;139;0.9956;3.32;0.37;10.2;6 +6.3;0.23;0.21;5.1;0.035;29;142;0.9942;3.36;0.33;10.1;7 +6.5;0.29;0.25;10.6;0.039;32;120;0.9962;3.31;0.34;10.1;6 +5.8;0.29;0.21;2.6;0.025;12;120;0.9894;3.39;0.79;14;7 +6.3;0.27;0.25;5.8;0.038;52;155;0.995;3.28;0.38;9.4;6 +6.3;0.17;0.42;2.8;0.028;45;107;0.9908;3.27;0.43;11.8;6 +6.3;0.16;0.4;1.6;0.033;59;148;0.9914;3.44;0.53;11.4;5 +7.9;0.29;0.39;6.7;0.036;6;117;0.9938;3.12;0.42;10.7;5 +7.3;0.31;0.69;10.2;0.041;58;160;0.9977;3.06;0.45;8.6;5 +5.5;0.32;0.45;4.9;0.028;25;191;0.9922;3.51;0.49;11.5;7 +5.2;0.24;0.45;3.8;0.027;21;128;0.992;3.55;0.49;11.2;8 +7.2;0.37;0.15;2;0.029;27;87;0.9903;3.3;0.59;12.6;7 +6.1;0.29;0.27;1.7;0.024;13;76;0.9893;3.21;0.51;12.6;7 +9.2;0.22;0.4;2.4;0.054;18;151;0.9952;3.04;0.46;9.3;4 +7.2;0.37;0.15;2;0.029;27;87;0.9903;3.3;0.59;12.6;7 +8;0.18;0.37;1.3;0.04;15;96;0.9912;3.06;0.61;12.1;6 +6.5;0.22;0.34;12;0.053;55;177;0.9983;3.52;0.44;9.9;6 +7.4;0.18;0.4;1.6;0.047;22;102;0.9937;3.28;0.44;10.7;5 +6.5;0.52;0.17;1.4;0.047;5;26;0.9932;3.26;0.32;10;4 +7;0.15;0.38;2.2;0.047;33;96;0.9928;3.13;0.39;10.4;8 +5.9;0.415;0.13;1.4;0.04;11;64;0.9922;3.29;0.52;10.5;5 +8.1;0.45;0.34;8.3;0.037;33;216;0.9976;3.31;0.64;9.7;5 +5.8;0.415;0.13;1.4;0.04;11;64;0.9922;3.29;0.52;10.5;5 +6.4;0.5;0.16;12.9;0.042;26;138;0.9974;3.28;0.33;9;5 +6.7;0.105;0.32;12.4;0.051;34;106;0.998;3.54;0.45;9.2;6 +6;0.4;0.3;1.6;0.047;30;117;0.9931;3.17;0.48;10.1;6 +6.6;0.25;0.39;1.45;0.04;40;89;0.9911;3.35;0.4;11.4;7 +9.8;0.36;0.45;1.6;0.042;11;124;0.9944;2.93;0.46;10.8;5 +9.6;0.23;0.4;1.5;0.044;19;135;0.9937;2.96;0.49;10.9;5 +6.3;0.55;0.45;13;0.047;33;182;0.9974;3.2;0.46;9.2;6 +6.5;0.115;0.29;1.95;0.038;73;166;0.989;3.12;0.25;12.9;7 +6.4;0.125;0.29;5.85;0.042;24;99;0.992;3.23;0.32;12;7 +5.7;0.1;0.27;1.3;0.047;21;100;0.9928;3.27;0.46;9.5;5 +7.9;0.25;0.29;5.3;0.031;33;117;0.9918;3.06;0.32;11.8;7 +6.9;0.2;0.28;1.2;0.048;36;159;0.9936;3.19;0.43;9.1;6 +6.9;0.23;0.34;4;0.047;24;128;0.9944;3.2;0.52;9.7;6 +6.8;0.39;0.31;14.35;0.043;28;162;0.9988;3.17;0.54;9.1;5 +8.7;0.22;0.42;2.3;0.053;27;114;0.994;2.99;0.43;10;5 +7.4;0.41;0.34;4.7;0.042;19;127;0.9953;3.25;0.42;10.4;5 +6.7;0.25;0.34;12.85;0.048;30;161;0.9986;3.44;0.47;9.5;6 +6;0.26;0.42;5.2;0.027;70;178;0.9914;3.4;0.4;12.3;8 +6.1;0.31;0.37;8.4;0.031;70;170;0.9934;3.42;0.4;11.7;8 +9.2;0.28;0.46;3.2;0.058;39;133;0.996;3.14;0.58;9.5;5 +9;0.31;0.49;6.9;0.034;26;91;0.9937;2.99;0.34;11.5;5 +8.5;0.16;0.33;1;0.076;17;57;0.9921;3.14;0.46;10.6;6 +9.3;0.34;0.49;7.3;0.052;30;146;0.998;3.17;0.61;10.2;5 +9.2;0.28;0.46;3.2;0.058;39;133;0.996;3.14;0.58;9.5;5 +7.2;0.24;0.3;1.6;0.048;27;131;0.9933;3.25;0.45;10.5;5 +7.2;0.25;0.32;1.5;0.047;27;132;0.9933;3.26;0.44;10.5;5 +6.8;0.32;0.18;7.5;0.041;71;223;0.9959;3.14;0.41;8.9;5 +9.1;0.27;0.32;1.1;0.031;15;151;0.9936;3.03;0.41;10.6;5 +8.9;0.34;0.32;1.3;0.041;12;188;0.9953;3.17;0.49;9.5;5 +7;0.17;0.37;5.7;0.025;29;111;0.9938;3.2;0.49;10.8;6 +6.7;0.25;0.23;7.2;0.038;61;220;0.9952;3.14;0.35;9.5;5 +6.9;0.32;0.17;7.6;0.042;69;219;0.9959;3.13;0.4;8.9;5 +6.8;0.32;0.18;7.5;0.041;71;223;0.9959;3.14;0.41;8.9;5 +6.1;0.6;0;1.3;0.042;24;79;0.9937;3.31;0.38;9.4;4 +5.3;0.395;0.07;1.3;0.035;26;102;0.992;3.5;0.35;10.6;6 +7.9;0.16;0.3;4.8;0.037;37;171;0.9967;3.47;0.44;9;4 +7.6;0.33;0.36;2.1;0.034;26;172;0.9944;3.42;0.48;10.5;4 +7.8;0.3;0.29;16.85;0.054;23;135;0.9998;3.16;0.38;9;6 +7.8;0.3;0.29;16.85;0.054;23;135;0.9998;3.16;0.38;9;6 +5.7;0.26;0.27;4.1;0.201;73.5;189.5;0.9942;3.27;0.38;9.4;6 +7.8;0.3;0.29;16.85;0.054;23;135;0.9998;3.16;0.38;9;6 +7.5;0.14;0.34;1.3;0.055;50;153;0.9945;3.29;0.8;9.6;6 +7.8;0.3;0.29;16.85;0.054;23;135;0.9998;3.16;0.38;9;6 +6.6;0.25;0.41;7.4;0.043;29;151;0.9946;3.15;0.6;10.2;7 +5.7;0.26;0.27;4.1;0.201;73.5;189.5;0.9942;3.27;0.38;9.4;6 +8.2;0.23;0.49;0.9;0.057;15;73;0.9928;3.07;0.38;10.4;6 +6;0.24;0.32;6.3;0.03;34;129;0.9946;3.52;0.41;10.4;5 +6.1;0.45;0.27;0.8;0.039;13;82;0.9927;3.23;0.32;9.5;5 +7.4;0.23;0.43;1.4;0.044;22;113;0.9938;3.22;0.62;10.6;6 +7.2;0.2;0.38;1;0.037;21;74;0.9918;3.21;0.37;11;5 +7.5;0.14;0.34;1.3;0.055;50;153;0.9945;3.29;0.8;9.6;6 +7.7;0.25;0.43;4.5;0.062;20;115;0.9966;3.38;0.5;9.9;6 +8.2;0.61;0.45;5.4;0.03;15;118;0.9954;3.14;0.34;9.6;5 +7.6;0.21;0.44;1.9;0.036;10;119;0.9913;3.01;0.7;12.8;6 +7.4;0.22;0.33;2;0.045;31;101;0.9931;3.42;0.55;11.4;5 +7.2;0.26;0.26;12.7;0.036;49;214;0.9986;3.41;0.5;10;6 +6.4;0.25;0.41;8.6;0.042;57;173;0.9965;3;0.44;9.1;5 +6.3;0.32;0.35;11.1;0.039;29;198;0.9984;3.36;0.5;9.4;7 +6.8;0.25;0.29;2;0.042;19;189;0.9952;3.46;0.54;10.2;6 +9.8;0.44;0.4;2.8;0.036;35;167;0.9956;2.97;0.39;9.2;5 +7.2;0.2;0.25;4.5;0.044;31;109;0.9949;3.23;0.36;9.4;5 +8.2;0.61;0.45;5.4;0.03;15;118;0.9954;3.14;0.34;9.6;5 +7.5;0.42;0.45;9.1;0.029;20;125;0.996;3.12;0.36;10.1;6 +7.4;0.22;0.33;2;0.045;31;101;0.9931;3.42;0.55;11.4;5 +6.4;0.26;0.3;2.2;0.025;33;134;0.992;3.21;0.47;10.6;6 +7.9;0.46;0.32;4.1;0.033;40;138;0.9912;3.18;0.44;12.8;7 +6.5;0.41;0.64;11.8;0.065;65;225;0.9978;3.12;0.51;8.9;5 +7.5;0.32;0.37;1.2;0.048;22;184;0.9938;3.09;0.43;9.3;5 +6.6;0.21;0.38;2.2;0.026;40;104;0.9914;3.25;0.4;11.1;8 +7.1;0.21;0.3;1.4;0.037;45;143;0.9932;3.13;0.33;9.9;6 +7.6;0.26;0.47;1.6;0.068;5;55;0.9944;3.1;0.45;9.6;5 +7.6;0.21;0.44;1.9;0.036;10;119;0.9913;3.01;0.7;12.8;6 +6.9;0.25;0.26;5.2;0.024;36;135;0.9948;3.16;0.72;10.7;7 +7.1;0.26;0.32;14.45;0.074;29;107;0.998;2.96;0.42;9.2;6 +7.3;0.22;0.4;14.75;0.042;44.5;129.5;0.9998;3.36;0.41;9.1;7 +6.2;0.37;0.22;8.3;0.025;36;216;0.9964;3.33;0.6;9.6;6 +7.9;0.22;0.45;14.2;0.038;53;141;0.9992;3.03;0.46;9.2;6 +6.9;0.25;0.26;5.2;0.024;36;135;0.9948;3.16;0.72;10.7;7 +7.3;0.22;0.4;14.75;0.042;44.5;129.5;0.9998;3.36;0.41;9.1;7 +7.1;0.26;0.32;14.45;0.074;29;107;0.998;2.96;0.42;9.2;6 +7.4;0.25;0.37;6.9;0.02;14;93;0.9939;3;0.48;10.7;7 +6.8;0.18;0.37;1.5;0.027;37;93;0.992;3.3;0.45;10.8;6 +7;0.17;0.37;1.5;0.028;26;75;0.9922;3.3;0.46;10.8;7 +6.4;0.3;0.38;7.8;0.046;35;192;0.9955;3.1;0.37;9;5 +5;0.33;0.16;1.5;0.049;10;97;0.9917;3.48;0.44;10.7;6 +5;0.33;0.16;1.5;0.049;10;97;0.9917;3.48;0.44;10.7;6 +8.9;0.33;0.32;1.5;0.047;11;200;0.9954;3.19;0.46;9.4;5 +7;0.26;0.46;15.55;0.037;61;171;0.9986;2.94;0.35;8.8;6 +6.4;0.3;0.38;7.8;0.046;35;192;0.9955;3.1;0.37;9;5 +6.3;0.21;0.4;1.7;0.031;48;134;0.9917;3.42;0.49;11.5;6 +8;0.23;0.46;1.5;0.03;30;125;0.9907;3.23;0.47;12.5;6 +9.2;0.28;0.41;1;0.042;14;59;0.9922;2.96;0.25;10.5;6 +7.3;0.27;0.39;6.7;0.064;28;188;0.9958;3.29;0.3;9.7;5 +7.6;0.32;0.36;1.6;0.04;32;155;0.993;3.23;0.52;11.3;6 +5;0.33;0.16;1.5;0.049;10;97;0.9917;3.48;0.44;10.7;6 +9.7;0.24;0.45;1.2;0.033;11;59;0.9926;2.74;0.47;10.8;6 +8;0.28;0.42;7.1;0.045;41;169;0.9959;3.17;0.43;10.6;5 +8.2;0.37;0.36;1;0.034;17;93;0.9906;3.04;0.32;11.7;8 +8;0.61;0.38;12.1;0.301;24;220;0.9993;2.94;0.48;9.2;5 +7.2;0.26;0.44;7.1;0.027;25;126;0.993;3.02;0.34;11.1;8 +8.2;0.37;0.36;1;0.034;17;93;0.9906;3.04;0.32;11.7;8 +6.4;0.23;0.33;1.15;0.044;15.5;217.5;0.992;3.33;0.44;11;6 +5.9;0.4;0.32;6;0.034;50;127;0.992;3.51;0.58;12.5;7 +7.6;0.28;0.39;1.2;0.038;21;115;0.994;3.16;0.67;10;6 +8;0.28;0.42;7.1;0.045;41;169;0.9959;3.17;0.43;10.6;5 +7.2;0.23;0.39;2.3;0.033;29;102;0.9908;3.26;0.54;12.3;7 +6.8;0.32;0.37;3.4;0.023;19;87;0.9902;3.14;0.53;12.7;6 +7.2;0.23;0.39;2.3;0.033;29;102;0.9908;3.26;0.54;12.3;7 +6.9;0.18;0.38;6.5;0.039;20;110;0.9943;3.1;0.42;10.5;5 +9.4;0.26;0.53;1.2;0.047;25;109;0.9921;3.23;0.28;12.5;6 +8.3;0.33;0.42;1.15;0.033;18;96;0.9911;3.2;0.32;12.4;3 +7.3;0.29;0.3;13;0.043;46;238;0.9986;3.06;0.41;8.7;6 +7.9;0.41;0.37;4.5;0.03;40;114;0.992;3.17;0.54;12.4;7 +7.9;0.44;0.37;5.85;0.033;27;93;0.992;3.16;0.54;12.6;7 +7.7;0.39;0.3;5.2;0.037;29;131;0.9943;3.38;0.44;11;6 +7.7;0.26;0.31;1.3;0.043;47;155;0.9937;3.42;0.5;10.1;6 +7.8;0.32;0.31;1.7;0.036;46;195;0.993;3.03;0.48;10.5;5 +6.8;0.32;0.37;3.4;0.023;19;87;0.9902;3.14;0.53;12.7;6 +7.3;0.24;0.39;3.6;0.024;35;116;0.9928;3.17;0.51;10.9;5 +7.1;0.44;0.37;2.7;0.041;35;128;0.9896;3.07;0.43;13.5;7 +10.3;0.25;0.48;2.2;0.042;28;164;0.998;3.19;0.59;9.7;5 +7.9;0.14;0.28;1.8;0.041;44;178;0.9954;3.45;0.43;9.2;6 +7.4;0.18;0.42;2.1;0.036;33;187;0.9938;3.4;0.41;10.6;7 +8.1;0.43;0.42;6.6;0.033;36;141;0.9918;2.98;0.39;13.3;7 +7.1;0.44;0.37;2.7;0.041;35;128;0.9896;3.07;0.43;13.5;7 +6.4;0.26;0.22;5.1;0.037;23;131;0.9944;3.29;0.32;10.1;5 +8;0.66;0.72;17.55;0.042;62;233;0.9999;2.92;0.68;9.4;4 +8;0.2;0.4;5.2;0.055;41;167;0.9953;3.18;0.4;10.6;7 +7.2;0.21;0.34;1.1;0.046;25;80;0.992;3.25;0.4;11.3;6 +7.2;0.18;0.31;1.1;0.045;20;73;0.9925;3.32;0.4;10.8;7 +8.4;0.57;0.44;10.7;0.051;46;195;0.9981;3.15;0.51;10.4;5 +5.3;0.26;0.23;5.15;0.034;48;160;0.9952;3.82;0.51;10.5;7 +5.7;0.245;0.33;1.1;0.049;28;150;0.9927;3.13;0.42;9.3;5 +5.6;0.245;0.32;1.1;0.047;24;152;0.9927;3.12;0.42;9.3;6 +7.3;0.25;0.41;1.8;0.037;52;165;0.9911;3.29;0.39;12.2;7 +7;0.16;0.73;1;0.138;58;150;0.9936;3.08;0.3;9.2;5 +6.4;0.22;0.34;1.8;0.057;29;104;0.9959;3.81;0.57;10.3;6 +7.3;0.18;0.65;1.4;0.046;28;157;0.9946;3.33;0.62;9.4;6 +6.4;0.17;0.27;6.7;0.036;88;223;0.9948;3.28;0.35;10.2;6 +6.9;0.29;0.16;6.8;0.034;65;212;0.9955;3.08;0.39;9;6 +6.2;0.21;0.38;6.8;0.036;64;245;0.9951;3.06;0.36;9.3;6 +6.4;0.23;0.3;7.1;0.037;63;236;0.9952;3.06;0.34;9.2;6 +7.3;0.19;0.68;1.5;0.05;31;156;0.9946;3.32;0.64;9.4;6 +7.3;0.18;0.65;1.4;0.046;28;157;0.9946;3.33;0.62;9.4;6 +9.6;0.29;0.46;1.45;0.039;77.5;223;0.9944;2.92;0.46;9.5;6 +7.2;0.14;0.35;1.2;0.036;15;73;0.9938;3.46;0.39;9.9;5 +6.9;0.31;0.34;7.4;0.059;36;174;0.9963;3.46;0.62;11.1;7 +7.5;0.28;0.34;4.2;0.028;36;116;0.991;2.99;0.41;12.3;8 +8;0.22;0.42;14.6;0.044;45;163;1.0003;3.21;0.69;8.6;7 +7.6;0.31;0.29;10.5;0.04;21;145;0.9966;3.04;0.35;9.4;5 +8.4;0.35;0.56;13.8;0.048;55;190;0.9993;3.07;0.58;9.4;6 +8;0.22;0.42;14.6;0.044;45;163;1.0003;3.21;0.69;8.6;7 +8.1;0.5;0.47;1.1;0.037;23;126;0.9938;3.21;0.42;10.9;5 +7;0.39;0.31;5.3;0.169;32;162;0.9965;3.2;0.48;9.4;5 +8.1;0.5;0.47;1.1;0.037;23;126;0.9938;3.21;0.42;10.9;5 +8.4;0.35;0.56;13.8;0.048;55;190;0.9993;3.07;0.58;9.4;6 +6.2;0.22;0.27;1.5;0.064;20;132;0.9938;3.22;0.46;9.2;6 +8;0.22;0.42;14.6;0.044;45;163;1.0003;3.21;0.69;8.6;7 +7.6;0.31;0.29;10.5;0.04;21;145;0.9966;3.04;0.35;9.4;5 +7;0.24;0.36;4.9;0.083;10;133;0.9942;3.33;0.37;10.8;6 +6.6;0.27;0.3;1.9;0.025;14;153;0.9928;3.29;0.62;10.5;6 +7.8;0.16;0.41;1.7;0.026;29;140;0.991;3.02;0.78;12.5;6 +7.7;0.27;0.34;1.8;0.028;26;168;0.9911;2.99;0.48;12.1;7 +7.4;0.31;0.74;10.7;0.039;51;147;0.9977;3.02;0.43;8.7;5 +8;0.45;0.36;8.8;0.026;50;151;0.9927;3.07;0.25;12.7;8 +7.7;0.27;0.34;1.8;0.028;26;168;0.9911;2.99;0.48;12.1;7 +7.8;0.16;0.41;1.7;0.026;29;140;0.991;3.02;0.78;12.5;6 +6.6;0.16;0.29;1.8;0.05;40;147;0.9912;3.06;0.44;11.4;7 +8.3;0.21;0.4;1.6;0.032;35;110;0.9907;3.02;0.6;12.9;7 +7.2;0.32;0.33;1.4;0.029;29;109;0.9902;3.15;0.51;12.8;7 +6.6;0.16;0.3;1.6;0.034;15;78;0.992;3.38;0.44;11.2;6 +8.4;0.16;0.33;1.5;0.033;16;98;0.994;3.14;0.42;9.7;6 +7.5;0.23;0.32;9.2;0.038;54;191;0.9966;3.04;0.56;9.7;6 +6.2;0.17;0.3;1.1;0.037;14;79;0.993;3.5;0.54;10.3;6 +6.9;0.39;0.22;4.3;0.03;10;102;0.993;3;0.87;11.6;4 +6.9;0.41;0.22;4.2;0.031;10;102;0.993;3;0.86;11.6;4 +7.5;0.23;0.32;9.2;0.038;54;191;0.9966;3.04;0.56;9.7;6 +7.5;0.38;0.33;5;0.045;30;131;0.9942;3.32;0.44;10.9;6 +7.3;0.42;0.38;6.8;0.045;29;122;0.9925;3.19;0.37;12.6;7 +7.3;0.34;0.39;5.2;0.04;45;163;0.9925;3.3;0.47;12.4;6 +7.8;0.23;0.28;4.75;0.042;45;166;0.9928;2.96;0.4;11.5;5 +9;0.245;0.38;5.9;0.045;52;159;0.995;2.93;0.35;10.2;6 +6.9;0.2;0.4;7.7;0.032;51;176;0.9939;3.22;0.27;11.4;5 +7.4;0.19;0.42;6.4;0.067;39;212;0.9958;3.3;0.33;9.6;6 +8.2;0.2;0.36;8.1;0.035;60;163;0.9952;3.05;0.3;10.3;6 +8;0.59;0.71;17.35;0.038;61;228;1;2.95;0.75;9.3;5 +7.9;0.14;0.45;1.8;0.05;17;114;0.9948;3.33;0.49;10.7;7 +6.8;0.24;0.4;1.8;0.047;34;105;0.99;3.13;0.49;12.8;8 +9.7;0.14;0.59;1.5;0.049;23;142;0.9958;2.98;0.62;9.5;5 +9.2;0.15;0.68;1.6;0.046;22;130;0.9948;3.02;0.45;10.4;6 +9.4;0.17;0.55;1.6;0.049;14;94;0.9949;3.02;0.61;10.3;6 +5.2;0.365;0.08;13.5;0.041;37;142;0.997;3.46;0.39;9.9;6 +6.3;0.23;0.22;3.75;0.039;37;116;0.9927;3.23;0.5;10.7;6 +9.6;0.25;0.54;1.3;0.04;16;160;0.9938;2.94;0.43;10.5;5 +9.2;0.32;0.42;1.3;0.046;14;186;0.9949;3.08;0.48;9.6;5 +6.4;0.31;0.4;6.2;0.04;46;169;0.9953;3.15;0.46;9.3;6 +8.1;0.2;0.36;9.7;0.044;63;162;0.997;3.1;0.46;10;6 +7.9;0.255;0.26;2;0.026;40;190;0.9932;3.04;0.39;11.2;6 +7;0.15;0.34;1.4;0.039;21;177;0.9927;3.32;0.62;10.8;5 +6.4;0.15;0.31;1.1;0.044;25;96;0.9932;3.54;0.51;10.3;6 +6.4;0.25;0.53;6.6;0.038;59;234;0.9955;3.03;0.42;8.8;5 +7.6;0.19;0.42;1.5;0.044;6;114;0.9914;3.04;0.74;12.8;6 +7.3;0.43;0.37;4.6;0.028;17;114;0.991;3.23;0.43;13.2;6 +5.1;0.31;0.3;0.9;0.037;28;152;0.992;3.54;0.56;10.1;6 +6.2;0.2;0.26;1.7;0.093;40;161;0.9924;3.44;0.66;11;5 +6.9;0.16;0.35;1.3;0.043;21;182;0.9927;3.25;0.62;10.8;6 +7.7;0.32;0.48;2.3;0.04;28;114;0.9911;3.2;0.52;12.8;7 +6.5;0.22;0.72;6.8;0.042;33;168;0.9958;3.12;0.36;9.2;6 +6.8;0.26;0.33;1.5;0.047;44;167;0.9928;3.12;0.44;10.5;6 +5.2;0.37;0.33;1.2;0.028;13;81;0.9902;3.37;0.38;11.7;6 +8.4;0.19;0.43;2.1;0.052;20;104;0.994;2.85;0.46;9.5;5 +8.3;0.21;0.41;2.2;0.05;24;108;0.994;2.85;0.45;9.5;5 +6.8;0.15;0.32;8.8;0.058;24;110;0.9972;3.4;0.4;8.8;6 +7.9;0.16;0.64;17;0.05;69;210;1.0004;3.15;0.51;9.3;7 +7.8;0.21;0.39;1.8;0.034;62;180;0.991;3.09;0.75;12.6;8 +9;0.24;0.5;1.2;0.048;26;107;0.9918;3.21;0.34;12.4;6 +5.7;0.21;0.24;2.3;0.047;60;189;0.995;3.65;0.72;10.1;6 +7.8;0.29;0.36;7;0.042;38;161;0.9941;3.26;0.37;11.2;8 +6.7;0.18;0.3;6.4;0.048;40;251;0.9956;3.29;0.52;10;5 +6.7;0.18;0.3;6.4;0.048;40;251;0.9956;3.29;0.52;10;5 +8.4;0.58;0.27;12.15;0.033;37;116;0.9959;2.99;0.39;10.8;6 +7.2;0.16;0.32;0.8;0.04;50;121;0.9922;3.27;0.33;10;6 +7.6;0.54;0.23;2;0.029;13;151;0.9931;3.04;0.33;10.4;5 +8.4;0.58;0.27;12.15;0.033;37;116;0.9959;2.99;0.39;10.8;6 +6.6;0.25;0.31;12.4;0.059;52;181;0.9984;3.51;0.47;9.8;6 +7.3;0.23;0.37;1.9;0.041;51;165;0.9908;3.26;0.4;12.2;8 +7.3;0.39;0.37;1.1;0.043;36;113;0.991;3.39;0.48;12.7;8 +7;0.46;0.39;6.2;0.039;46;163;0.9928;3.21;0.35;12.2;7 +8.2;0.35;0.4;6.3;0.039;35;162;0.9936;3.15;0.34;11.9;7 +7.8;0.29;0.36;7;0.042;38;161;0.9941;3.26;0.37;11.2;8 +9.2;0.35;0.39;0.9;0.042;15;61;0.9924;2.96;0.28;10.4;4 +8;0.57;0.39;3.9;0.034;22;122;0.9917;3.29;0.67;12.8;7 +6.5;0.37;0.33;3.9;0.027;40;130;0.9906;3.28;0.39;12.7;7 +5.7;0.21;0.24;2.3;0.047;60;189;0.995;3.65;0.72;10.1;6 +6.7;0.18;0.3;6.4;0.048;40;251;0.9956;3.29;0.52;10;5 +7.8;0.13;0.3;1.8;0.04;43;179;0.9955;3.43;0.41;9;5 +7.6;0.19;0.41;1.1;0.04;38;143;0.9907;2.92;0.42;11.4;5 +7.3;0.22;0.41;15.4;0.05;55;191;1;3.32;0.59;8.9;6 +6.3;0.29;0.4;6.5;0.039;43;167;0.9953;3.15;0.44;9.3;6 +6.8;0.35;0.32;2.4;0.048;35;103;0.9911;3.28;0.46;12;8 +6.5;0.19;0.32;1.4;0.04;31;132;0.9922;3.36;0.54;10.8;7 +6.2;0.12;0.26;5.7;0.044;56;158;0.9951;3.52;0.37;10.5;6 +6;0.13;0.28;5.7;0.038;56;189.5;0.9948;3.59;0.43;10.6;7 +6.4;0.25;0.33;1.4;0.04;42;115;0.9906;3.19;0.48;11.3;7 +6.9;0.32;0.16;1.4;0.051;15;96;0.994;3.22;0.38;9.5;4 +7.6;0.19;0.41;1.1;0.04;38;143;0.9907;2.92;0.42;11.4;5 +6.7;0.13;0.28;1.2;0.046;35;140;0.9927;3.33;0.33;10.1;7 +7;0.14;0.41;0.9;0.037;22;95;0.9914;3.25;0.43;10.9;6 +7.6;0.27;0.24;3.8;0.058;19;115;0.9958;3.15;0.45;8.9;5 +7.3;0.22;0.41;15.4;0.05;55;191;1;3.32;0.59;8.9;6 +7.4;0.64;0.47;14.15;0.168;42;185;0.9984;2.9;0.49;9.3;5 +7.6;0.28;0.39;1.9;0.052;23;116;0.9941;3.25;0.4;10.4;6 +8.3;0.26;0.41;9.2;0.042;41;162;0.9944;3.1;0.38;12;7 +10.7;0.22;0.56;8.2;0.044;37;181;0.998;2.87;0.68;9.5;6 +10.7;0.22;0.56;8.2;0.044;37;181;0.998;2.87;0.68;9.5;6 +6.9;0.23;0.34;2.7;0.032;24;121;0.9902;3.14;0.38;12.4;7 +6.2;0.3;0.32;1.7;0.032;30;130;0.9911;3.28;0.41;11.2;7 +6.9;0.27;0.41;1.7;0.047;6;134;0.9929;3.15;0.69;11.4;6 +6.9;0.28;0.41;1.7;0.05;10;136;0.993;3.16;0.71;11.4;6 +6.9;0.28;0.3;1.6;0.047;46;132;0.9918;3.35;0.38;11.1;7 +6.9;0.46;0.2;0.9;0.054;5;126;0.992;3.1;0.42;10.4;6 +6.9;0.38;0.32;8.5;0.044;36;152;0.9932;3.38;0.35;12;7 +5.7;0.43;0.3;5.7;0.039;24;98;0.992;3.54;0.61;12.3;7 +6.6;0.56;0.16;3.1;0.045;28;92;0.994;3.12;0.35;9.1;6 +7.1;0.36;0.56;1.3;0.046;25;102;0.9923;3.24;0.33;10.5;6 +6.8;0.23;0.4;1.6;0.047;5;133;0.993;3.23;0.7;11.4;6 +6.2;0.33;0.29;1.3;0.042;26;138;0.9956;3.77;0.64;9.5;5 +5.6;0.49;0.13;4.5;0.039;17;116;0.9907;3.42;0.9;13.7;7 +6.6;0.42;0.33;2.8;0.034;15;85;0.99;3.28;0.51;13.4;6 +7.3;0.18;0.29;1.2;0.044;12;143;0.9918;3.2;0.48;11.3;7 +8.1;0.19;0.4;0.9;0.037;73;180;0.9926;3.06;0.34;10;6 +5.9;0.19;0.26;7.4;0.034;33;123;0.995;3.49;0.42;10.1;6 +6.2;0.16;0.47;1.4;0.029;23;81;0.99;3.26;0.42;12.2;6 +6.6;0.42;0.33;2.8;0.034;15;85;0.99;3.28;0.51;13.4;6 +5.7;0.135;0.3;4.6;0.042;19;101;0.9946;3.31;0.42;9.3;6 +5.6;0.49;0.13;4.5;0.039;17;116;0.9907;3.42;0.9;13.7;7 +6.9;0.19;0.33;1.6;0.039;27;98;0.9898;3.09;0.46;12.3;7 +7.3;0.18;0.29;1.2;0.044;12;143;0.9918;3.2;0.48;11.3;7 +7.3;0.25;0.36;13.1;0.05;35;200;0.9986;3.04;0.46;8.9;7 +7.3;0.25;0.36;13.1;0.05;35;200;0.9986;3.04;0.46;8.9;7 +7;0.2;0.34;5.7;0.035;32;83;0.9928;3.19;0.46;11.5;6 +7.3;0.25;0.36;13.1;0.05;35;200;0.9986;3.04;0.46;8.9;7 +6.3;0.67;0.48;12.6;0.052;57;222;0.9979;3.17;0.52;9.3;6 +7.4;0.4;0.29;5.4;0.044;31;122;0.994;3.3;0.5;11.1;8 +7.1;0.26;0.31;2.2;0.044;29;128;0.9937;3.34;0.64;10.9;8 +9;0.31;0.48;6.6;0.043;11;73;0.9938;2.9;0.38;11.6;5 +6.3;0.39;0.24;6.9;0.069;9;117;0.9942;3.15;0.35;10.2;4 +8.2;0.22;0.36;6.8;0.034;12;90;0.9944;3.01;0.38;10.5;8 +7.1;0.19;0.28;3.6;0.033;16;78;0.993;2.91;0.78;11.4;6 +7.3;0.25;0.36;13.1;0.05;35;200;0.9986;3.04;0.46;8.9;7 +7.9;0.2;0.34;1.2;0.04;29;118;0.9932;3.14;0.41;10.6;6 +7.1;0.26;0.32;5.9;0.037;39;97;0.9934;3.31;0.4;11.6;6 +7;0.2;0.34;5.7;0.035;32;83;0.9928;3.19;0.46;11.5;6 +6.9;0.3;0.33;4.1;0.035;26;155;0.9925;3.25;0.79;12.3;8 +8.1;0.29;0.49;7.1;0.042;22;124;0.9944;3.14;0.41;10.8;6 +5.8;0.17;0.3;1.4;0.037;55;130;0.9909;3.29;0.38;11.3;6 +5.9;0.415;0.02;0.8;0.038;22;63;0.9932;3.36;0.36;9.3;5 +6.6;0.23;0.26;1.3;0.045;16;128;0.9934;3.36;0.6;10;6 +8.6;0.55;0.35;15.55;0.057;35.5;366.5;1.0001;3.04;0.63;11;3 +6.9;0.35;0.74;1;0.044;18;132;0.992;3.13;0.55;10.2;5 +7.6;0.14;0.74;1.6;0.04;27;103;0.9916;3.07;0.4;10.8;7 +9.2;0.28;0.49;11.8;0.042;29;137;0.998;3.1;0.34;10.1;4 +6.2;0.18;0.49;4.5;0.047;17;90;0.9919;3.27;0.37;11.6;6 +5.3;0.165;0.24;1.1;0.051;25;105;0.9925;3.32;0.47;9.1;5 +9.8;0.25;0.74;10;0.056;36;225;0.9977;3.06;0.43;10;4 +8.1;0.29;0.49;7.1;0.042;22;124;0.9944;3.14;0.41;10.8;6 +6.8;0.22;0.49;0.9;0.052;26;128;0.991;3.25;0.35;11.4;6 +7.2;0.22;0.49;1;0.045;34;140;0.99;3.05;0.34;12.7;6 +7.4;0.25;0.49;1.1;0.042;35;156;0.9917;3.13;0.55;11.3;5 +8.2;0.18;0.49;1.1;0.033;28;81;0.9923;3;0.68;10.4;7 +6.1;0.22;0.49;1.5;0.051;18;87;0.9928;3.3;0.46;9.6;5 +7;0.39;0.24;1;0.048;8;119;0.9923;3;0.31;10.1;4 +6.1;0.22;0.49;1.5;0.051;18;87;0.9928;3.3;0.46;9.6;5 +6.5;0.36;0.49;2.9;0.03;16;94;0.9902;3.1;0.49;12.1;7 +7.1;0.29;0.49;1.2;0.031;32;99;0.9893;3.07;0.33;12.2;6 +7.4;0.25;0.49;1.1;0.042;35;156;0.9917;3.13;0.55;11.3;5 +6.9;0.23;0.24;14.2;0.053;19;94;0.9982;3.17;0.5;9.6;5 +8.5;0.56;0.74;17.85;0.051;51;243;1.0005;2.99;0.7;9.2;5 +8.2;0.18;0.49;1.1;0.033;28;81;0.9923;3;0.68;10.4;7 +6.3;0.23;0.49;7.1;0.05;67;210;0.9951;3.23;0.34;9.5;5 +6.1;0.25;0.49;7.6;0.052;67;226;0.9956;3.16;0.47;8.9;5 +7.2;0.26;0.74;13.6;0.05;56;162;0.998;3.03;0.44;8.8;5 +7.2;0.31;0.24;1.4;0.057;17;117;0.9928;3.16;0.35;10.5;5 +8;0.25;0.49;1.2;0.061;27;117;0.9938;3.08;0.34;9.4;5 +7;0.18;0.49;5.3;0.04;34;125;0.9914;3.24;0.4;12.2;6 +7.8;0.43;0.49;13;0.033;37;158;0.9955;3.14;0.35;11.3;6 +8.3;0.2;0.74;4.45;0.044;33;130;0.9924;3.25;0.42;12.2;6 +6.3;0.27;0.49;1.2;0.063;35;92;0.9911;3.38;0.42;12.2;6 +7.4;0.16;0.49;1.2;0.055;18;150;0.9917;3.23;0.47;11.2;6 +7.4;0.16;0.49;1.2;0.055;18;150;0.9917;3.23;0.47;11.2;6 +6.9;0.19;0.49;6.6;0.036;49;172;0.9932;3.2;0.27;11.5;6 +7.8;0.43;0.49;13;0.033;37;158;0.9955;3.14;0.35;11.3;6 +7.2;0.4;0.49;1.1;0.048;11;138;0.9929;3.01;0.42;9.3;5 +7.8;0.43;0.49;13;0.033;37;158;0.9955;3.14;0.35;11.3;6 +7.6;0.52;0.49;14;0.034;37;156;0.9958;3.14;0.38;11.8;7 +8.3;0.21;0.49;19.8;0.054;50;231;1.0012;2.99;0.54;9.2;5 +6.9;0.34;0.74;11.2;0.069;44;150;0.9968;3;0.81;9.2;5 +6.3;0.27;0.49;1.2;0.063;35;92;0.9911;3.38;0.42;12.2;6 +8.3;0.2;0.74;4.45;0.044;33;130;0.9924;3.25;0.42;12.2;6 +7.1;0.22;0.74;2.7;0.044;42;144;0.991;3.31;0.41;12.2;6 +7.9;0.11;0.49;4.5;0.048;27;133;0.9946;3.24;0.42;10.6;6 +8.5;0.17;0.74;3.6;0.05;29;128;0.9928;3.28;0.4;12.4;6 +6.4;0.145;0.49;5.4;0.048;54;164;0.9946;3.56;0.44;10.8;6 +7.4;0.16;0.49;1.2;0.055;18;150;0.9917;3.23;0.47;11.2;6 +8.3;0.19;0.49;1.2;0.051;11;137;0.9918;3.06;0.46;11;6 +8;0.44;0.49;9.1;0.031;46;151;0.9926;3.16;0.27;12.7;8 +7;0.2;0.74;0.8;0.044;19;163;0.9931;3.46;0.53;10.2;5 +6.9;0.19;0.49;6.6;0.036;49;172;0.9932;3.2;0.27;11.5;6 +7.1;0.25;0.49;3;0.03;30;96;0.9903;3.13;0.39;12.3;7 +6.5;0.24;0.24;1.6;0.046;15;60;0.9928;3.19;0.39;9.8;5 +7.2;0.4;0.49;1.1;0.048;11;138;0.9929;3.01;0.42;9.3;5 +7.6;0.52;0.49;14;0.034;37;156;0.9958;3.14;0.38;11.8;7 +7.8;0.43;0.49;13;0.033;37;158;0.9955;3.14;0.35;11.3;6 +7.8;0.21;0.49;1.35;0.052;6;48;0.9911;3.15;0.28;11.4;5 +7;0.2;0.49;5.9;0.038;39;128;0.9938;3.21;0.48;10.8;6 +6.9;0.25;0.24;3.6;0.057;13;85;0.9942;2.99;0.48;9.5;4 +7.2;0.08;0.49;1.3;0.05;18;148;0.9945;3.46;0.44;10.2;6 +7.1;0.85;0.49;8.7;0.028;40;184;0.9962;3.22;0.36;10.7;5 +7.6;0.51;0.24;1.2;0.04;10;104;0.992;3.05;0.29;10.8;6 +7.9;0.22;0.24;4.6;0.044;39;159;0.9927;2.99;0.28;11.5;6 +7.7;0.16;0.49;2;0.056;20;124;0.9948;3.32;0.49;10.7;6 +7.2;0.08;0.49;1.3;0.05;18;148;0.9945;3.46;0.44;10.2;6 +6.6;0.25;0.24;1.7;0.048;26;124;0.9942;3.37;0.6;10.1;6 +6.7;0.16;0.49;2.4;0.046;57;187;0.9952;3.62;0.81;10.4;6 +6.9;0.25;0.24;3.6;0.057;13;85;0.9942;2.99;0.48;9.5;4 +7.5;0.32;0.24;4.6;0.053;8;134;0.9958;3.14;0.5;9.1;3 +7.4;0.28;0.49;1.5;0.034;20;126;0.9918;2.98;0.39;10.6;6 +6.2;0.15;0.49;0.9;0.033;17;51;0.9932;3.3;0.7;9.4;6 +6.7;0.25;0.74;19.4;0.054;44;169;1.0004;3.51;0.45;9.8;6 +6.5;0.26;0.74;13.3;0.044;68;224;0.9972;3.18;0.54;9.5;6 +7.9;0.16;0.74;17.85;0.037;52;187;0.9998;2.99;0.41;9.3;5 +5.6;0.185;0.49;1.1;0.03;28;117;0.9918;3.55;0.45;10.3;6 +7.5;0.2;0.49;1.3;0.031;8;97;0.9918;3.06;0.62;11.1;5 +8;0.3;0.49;9.4;0.046;47;188;0.9964;3.14;0.48;10;5 +8;0.34;0.49;9;0.033;39;180;0.9936;3.13;0.38;12.3;8 +7.7;0.35;0.49;8.65;0.033;42;186;0.9931;3.14;0.38;12.4;8 +7.6;0.29;0.49;9.6;0.03;45;197;0.9938;3.13;0.38;12.3;7 +6.7;0.62;0.24;1.1;0.039;6;62;0.9934;3.41;0.32;10.4;5 +6.8;0.27;0.49;1.2;0.044;35;126;0.99;3.13;0.48;12.1;7 +7.7;0.27;0.49;1.8;0.041;23;86;0.9914;3.16;0.42;12.5;6 +6.7;0.51;0.24;2.1;0.043;14;155;0.9904;3.22;0.6;13;6 +7.4;0.19;0.49;9.3;0.03;26;132;0.994;2.99;0.32;11;7 +8.3;0.2;0.49;1.7;0.04;34;169;0.9938;3.05;0.37;10.1;5 +6.6;0.3;0.24;1.2;0.034;17;121;0.9933;3.13;0.36;9.2;5 +6.8;0.36;0.24;4.6;0.039;24;124;0.9909;3.27;0.34;12.6;7 +7;0.17;0.74;12.8;0.045;24;126;0.9942;3.26;0.38;12.2;8 +9.2;0.18;0.49;1.5;0.041;39;130;0.9945;3.04;0.49;9.8;7 +8.1;0.2;0.49;8.1;0.051;51;205;0.9954;3.1;0.52;11;6 +7.8;0.26;0.74;7.5;0.044;59;160;0.996;3.22;0.64;10;6 +6.8;0.21;0.49;14.5;0.06;50;170;0.9991;3.55;0.44;9.8;6 +7.9;0.2;0.49;1.6;0.053;15;144;0.993;3.16;0.47;10.5;5 +8;0.18;0.49;1.8;0.061;10;145;0.9942;3.23;0.48;10;5 +8.8;0.23;0.74;3.2;0.042;15;126;0.9934;3.02;0.51;11.2;6 +7.3;0.22;0.49;9.4;0.034;29;134;0.9939;2.99;0.32;11;7 +7.3;0.22;0.49;9.9;0.031;48;161;0.9937;3.01;0.28;11.2;6 +7.4;0.19;0.49;9.3;0.03;26;132;0.994;2.99;0.32;11;7 +7.3;0.155;0.49;1.3;0.039;34;136;0.9926;3.14;0.77;10.5;6 +8.2;0.22;0.49;9.6;0.037;53;154;0.9951;3.02;0.33;10.6;6 +8.2;0.24;0.49;9.3;0.038;52;163;0.9952;3.02;0.33;10.6;6 +8.4;0.23;0.49;7.8;0.035;22;95;0.9935;3.04;0.34;12;6 +8.3;0.2;0.49;1.7;0.04;34;169;0.9938;3.05;0.37;10.1;5 +8.3;0.2;0.49;1.7;0.038;38;167;0.9939;3.05;0.37;10.1;6 +6.6;0.3;0.24;1.2;0.034;17;121;0.9933;3.13;0.36;9.2;5 +6.9;0.21;0.49;1.4;0.041;15;164;0.9927;3.25;0.63;11;5 +8;0.25;0.49;9;0.044;31;185;0.998;3.34;0.49;10;6 +6.6;0.21;0.49;18.15;0.042;41;158;0.9997;3.28;0.39;8.7;6 +7.2;0.27;0.74;12.5;0.037;47;156;0.9981;3.04;0.44;8.7;5 +14.2;0.27;0.49;1.1;0.037;33;156;0.992;3.15;0.54;11.1;6 +7.9;0.28;0.49;7.7;0.045;48;195;0.9954;3.04;0.55;11;6 +7.4;0.27;0.49;1.1;0.037;33;156;0.992;3.15;0.54;11.1;6 +6.6;0.21;0.49;18.15;0.042;41;158;0.9997;3.28;0.39;8.7;6 +7.2;0.27;0.74;12.5;0.037;47;156;0.9981;3.04;0.44;8.7;5 +8.1;0.3;0.49;8.1;0.037;26;174;0.9943;3.1;0.3;11.2;7 +7.5;0.23;0.49;7.7;0.049;61;209;0.9941;3.14;0.3;11.1;7 +7.3;0.26;0.49;5;0.028;32;107;0.9936;3.24;0.54;10.8;6 +7.1;0.18;0.74;15.6;0.044;44;176;0.9996;3.38;0.67;9;6 +8.5;0.15;0.49;1.5;0.031;17;122;0.9932;3.03;0.4;10.3;6 +8.9;0.13;0.49;1;0.028;6;24;0.9926;2.91;0.32;9.9;5 +8.1;0.28;0.49;1;0.04;32;148;0.9936;3.13;0.41;10;6 +6;0.17;0.49;1;0.034;26;106;0.992;3.21;0.42;9.8;6 +7.3;0.26;0.49;5;0.028;32;107;0.9936;3.24;0.54;10.8;6 +7.1;0.18;0.74;15.6;0.044;44;176;0.9996;3.38;0.67;9;6 +7.1;0.53;0.24;0.8;0.029;29;86;0.993;3.16;0.32;9.1;4 +7.2;0.16;0.49;1.3;0.037;27;104;0.9924;3.23;0.57;10.6;6 +7.3;0.14;0.49;1.1;0.038;28;99;0.9928;3.2;0.72;10.6;6 +8.9;0.13;0.49;1;0.028;6;24;0.9926;2.91;0.32;9.9;5 +7.9;0.12;0.49;5.2;0.049;33;152;0.9952;3.18;0.47;10.6;6 +6.7;0.29;0.49;4.7;0.034;35;156;0.9945;3.13;0.45;9.9;6 +6.7;0.3;0.49;4.8;0.034;36;158;0.9945;3.12;0.45;9.9;6 +7.1;0.36;0.24;1.8;0.025;32;102;0.9903;3.34;0.59;12.8;6 +8.5;0.15;0.49;1.5;0.031;17;122;0.9932;3.03;0.4;10.3;6 +7.9;0.18;0.49;5.2;0.051;36;157;0.9953;3.18;0.48;10.6;6 +6.6;0.19;0.99;1.2;0.122;45;129;0.9936;3.09;0.31;8.7;6 +7.3;0.21;0.49;1.8;0.038;44;152;0.9912;3.32;0.44;12.6;7 +6.9;0.3;0.49;7.6;0.057;25;156;0.9962;3.43;0.63;11;7 +7.9;0.42;0.49;8.2;0.056;32;164;0.9965;3.29;0.6;11.2;7 +6.9;0.24;0.49;1.3;0.032;35;148;0.9932;3.45;0.57;10.7;7 +7.6;0.23;0.49;10;0.036;45;182;0.9967;3.08;0.58;9.6;6 +7.9;0.18;0.49;5.2;0.051;36;157;0.9953;3.18;0.48;10.6;6 +6.2;0.43;0.49;6.4;0.045;12;115;0.9963;3.27;0.57;9;4 +8.8;0.35;0.49;1;0.036;14;56;0.992;2.96;0.33;10.5;4 +7.8;0.3;0.74;1.8;0.033;33;156;0.991;3.29;0.52;12.8;6 +9.1;0.28;0.49;2;0.059;10;112;0.9958;3.15;0.46;10.1;5 +7.1;0.34;0.49;1.5;0.027;26;126;0.99;3.3;0.33;12.2;7 +7.8;0.3;0.74;1.8;0.033;33;156;0.991;3.29;0.52;12.8;6 +9.1;0.28;0.49;2;0.059;10;112;0.9958;3.15;0.46;10.1;5 +8.5;0.19;0.49;3.5;0.044;29;117;0.9938;3.14;0.51;10.1;6 +7.6;0.18;0.49;18.05;0.046;36;158;0.9996;3.06;0.41;9.2;5 +7.5;0.19;0.49;1.8;0.055;19;110;0.9946;3.33;0.44;9.9;5 +7.4;0.3;0.49;8.2;0.055;49;188;0.9974;3.52;0.58;9.7;6 +6.7;0.3;0.74;5;0.038;35;157;0.9945;3.21;0.46;9.9;5 +6.6;0.3;0.74;4.6;0.041;36;159;0.9946;3.21;0.45;9.9;5 +7.4;0.3;0.49;8.2;0.055;49;188;0.9974;3.52;0.58;9.7;6 +6.9;0.22;0.49;7;0.063;50;168;0.9957;3.54;0.5;10.3;6 +7.8;0.26;0.49;3.1;0.045;21;116;0.9931;3.16;0.35;10.3;5 +8.5;0.17;0.49;8.8;0.048;23;108;0.9947;2.88;0.34;10.5;4 +6.8;0.17;0.74;2.4;0.053;61;182;0.9953;3.63;0.76;10.5;6 +6.2;0.27;0.49;1.4;0.05;20;74;0.9931;3.32;0.44;9.8;6 +7.1;0.64;0.49;1.8;0.05;17;128;0.9946;3.31;0.58;10.6;4 +6.4;0.18;0.74;11.9;0.046;54;168;0.9978;3.58;0.68;10.1;5 +7.6;0.31;0.49;13.4;0.062;50;191;0.9989;3.22;0.53;9;4 +9.8;0.31;0.49;15.4;0.046;13;119;1.0004;3.18;0.45;9.5;5 +9;0.3;0.49;7.2;0.039;32;84;0.9938;2.94;0.32;11.5;6 +8.4;0.24;0.49;7.4;0.039;46;108;0.9934;3.03;0.33;11.9;7 +6.4;0.18;0.74;11.9;0.046;54;168;0.9978;3.58;0.68;10.1;5 +6.4;0.25;0.74;7.8;0.045;52;209;0.9956;3.21;0.42;9.2;6 +7.3;0.3;0.74;13.5;0.039;46;165;0.9982;3.02;0.4;8.7;5 +9.3;0.31;0.49;1.3;0.042;34;147;0.9948;3.11;0.46;9.8;5 +6.4;0.25;0.74;7.8;0.045;52;209;0.9956;3.21;0.42;9.2;6 +7.3;0.3;0.74;13.5;0.039;46;165;0.9982;3.02;0.4;8.7;5 +7;0.27;0.74;1.5;0.036;27;122;0.9926;3.35;0.48;11.2;6 +7.9;0.14;0.74;1.2;0.028;30;165;0.991;3.08;0.82;12.3;6 +6.4;0.12;0.49;6.4;0.042;49;161;0.9945;3.34;0.44;10.4;6 +6.8;0.21;0.74;1.2;0.047;25;111;0.9916;3.13;0.41;10.7;6 +8.6;0.16;0.49;7.3;0.043;9;63;0.9953;3.13;0.59;10.5;6 +7;0.29;0.49;3.8;0.047;37;136;0.9938;2.95;0.4;9.4;6 +6.4;0.27;0.49;7.3;0.046;53;206;0.9956;3.24;0.43;9.2;6 +6.6;0.55;0.01;2.7;0.034;56;122;0.9906;3.15;0.3;11.9;5 +6.4;0.27;0.49;7.3;0.046;53;206;0.9956;3.24;0.43;9.2;6 +6.3;0.24;0.74;1.4;0.172;24;108;0.9932;3.27;0.39;9.9;6 +6.7;0.33;0.49;1.6;0.167;20;94;0.9914;3.11;0.5;11.4;6 +7;0.29;0.49;3.8;0.047;37;136;0.9938;2.95;0.4;9.4;6 +8.2;0.34;0.49;8;0.046;55;223;0.996;3.08;0.52;10.7;6 +5.6;0.39;0.24;4.7;0.034;27;77;0.9906;3.28;0.36;12.7;5 +5.6;0.41;0.24;1.9;0.034;10;53;0.98815;3.32;0.5;13.5;7 +6.7;0.41;0.01;2.8;0.048;39;137;0.9942;3.24;0.35;9.5;5 +7.1;0.26;0.49;2.2;0.032;31;113;0.9903;3.37;0.42;12.9;9 +7.5;0.32;0.49;1.7;0.031;44;109;0.9906;3.07;0.46;12.5;6 +5.8;0.19;0.49;4.9;0.04;44;118;0.9935;3.34;0.38;9.5;7 +6.9;0.27;0.49;23.5;0.057;59;235;1.0024;2.98;0.47;8.6;5 +8.1;0.2;0.49;11.8;0.048;46;212;0.9968;3.09;0.46;10;7 +7.5;0.32;0.49;1.7;0.031;44;109;0.9906;3.07;0.46;12.5;6 +8.2;0.26;0.49;5.2;0.04;19;100;0.9941;3.12;0.34;10.1;6 +7.8;0.26;0.49;3.2;0.027;28;87;0.9919;3.03;0.32;11.3;7 +8;0.14;0.49;1.5;0.035;42;120;0.9928;3.26;0.4;10.6;7 +8;0.29;0.49;11.7;0.035;40;131;0.9958;3.14;0.34;10.8;5 +7.5;0.19;0.49;1.6;0.047;42;140;0.9932;3.4;0.47;10.7;6 +6.9;0.34;0.49;7.3;0.045;61;206;0.9957;3.09;0.4;9;6 +6.2;0.2;0.49;1.6;0.065;17;143;0.9937;3.22;0.52;9.2;6 +6.4;0.37;0.49;13.3;0.045;53;243;0.9982;3.14;0.48;8.5;6 +6.2;0.22;0.49;6;0.029;31;128;0.9928;3.41;0.36;11.3;8 +7.8;0.26;0.49;3.2;0.027;28;87;0.9919;3.03;0.32;11.3;7 +8.9;0.32;0.49;1.6;0.05;17;131;0.9956;3.13;0.34;9.4;5 +6.5;0.44;0.49;7.7;0.045;16;169;0.9957;3.11;0.37;8.7;6 +7;0.14;0.49;5.9;0.053;22;118;0.9954;3.36;0.36;9.4;6 +9;0.17;0.49;1;0.039;46;131;0.993;3.09;0.51;10.5;7 +6.4;0.26;0.49;6.4;0.037;37;161;0.9954;3.38;0.53;9.7;6 +9;0.22;0.49;10.4;0.048;52;195;0.9987;3.31;0.44;10.2;6 +8.9;0.32;0.49;1.6;0.05;17;131;0.9956;3.13;0.34;9.4;5 +8.2;0.2;0.49;3.5;0.057;14;108;0.9928;3.19;0.35;11.5;6 +7.8;0.15;0.24;7.7;0.047;21;98;0.9951;2.94;0.31;9.6;6 +6.9;0.25;0.24;1.8;0.053;6;121;0.993;3.23;0.7;11.4;5 +8.2;0.2;0.49;3.5;0.057;14;108;0.9928;3.19;0.35;11.5;6 +7.1;0.28;0.49;6.5;0.041;28;111;0.9926;3.41;0.58;12.2;8 +7.4;0.19;0.49;6.7;0.037;15;110;0.9938;3.2;0.38;11;7 +8.3;0.25;0.49;16.8;0.048;50;228;1.0001;3.03;0.52;9.2;6 +7.5;0.14;0.74;1.6;0.035;21;126;0.9933;3.26;0.45;10.2;6 +7.8;0.49;0.49;7;0.043;29;149;0.9952;3.21;0.33;10;5 +8.1;0.12;0.49;1.2;0.042;43;160;0.9934;3.13;0.48;9.7;6 +7.6;0.47;0.49;13;0.239;42;220;0.9988;2.96;0.51;9.2;5 +7.9;0.22;0.49;3.8;0.042;26;105;0.993;3.1;0.39;10.5;5 +7.8;0.49;0.49;7;0.043;29;149;0.9952;3.21;0.33;10;5 +6.4;0.22;0.49;7.5;0.054;42;151;0.9948;3.27;0.52;10.1;6 +7.3;0.19;0.49;15.55;0.058;50;134;0.9998;3.42;0.36;9.1;7 +8.1;0.3;0.49;12.3;0.049;50;144;0.9971;3.09;0.57;10.2;7 +7.3;0.19;0.49;15.55;0.058;50;134;0.9998;3.42;0.36;9.1;7 +7.5;0.24;0.49;9.4;0.048;50;149;0.9962;3.17;0.59;10.5;7 +6.4;0.22;0.49;7.5;0.054;42;151;0.9948;3.27;0.52;10.1;6 +7.8;0.21;0.49;1.2;0.036;20;99;0.99;3.05;0.28;12.1;7 +7.1;0.3;0.49;1.6;0.045;31;100;0.9942;3.4;0.59;10.2;5 +6.9;0.26;0.49;1.6;0.058;39;166;0.9965;3.65;0.52;9.4;4 +7.6;0.31;0.49;3.95;0.044;27;131;0.9912;3.08;0.67;12.8;7 +6.4;0.42;0.74;12.8;0.076;48;209;0.9978;3.12;0.58;9;6 +8.2;0.29;0.49;1;0.044;29;118;0.9928;3.24;0.36;10.9;4 +7.9;0.33;0.28;31.6;0.053;35;176;1.0103;3.15;0.38;8.8;6 +6.6;0.46;0.49;7.4;0.052;19;184;0.9956;3.11;0.38;9;5 +7.8;0.28;0.49;1.3;0.046;27;142;0.9936;3.09;0.59;10.2;5 +5.8;0.15;0.49;1.1;0.048;21;98;0.9929;3.19;0.48;9.2;5 +7.8;0.4;0.49;7.8;0.06;34;162;0.9966;3.26;0.58;11.3;6 +6.6;0.31;0.49;7.7;0.05;52;220;0.9964;3.12;0.45;8.8;5 +6.6;0.325;0.49;7.7;0.049;53;217;0.996;3.16;0.4;9.3;5 +6.6;0.27;0.49;7.8;0.049;62;217;0.9959;3.17;0.45;9.4;6 +6.7;0.26;0.49;8.3;0.047;54;191;0.9954;3.23;0.4;10.3;6 +6.7;0.21;0.49;1.4;0.047;30;114;0.9914;2.92;0.42;10.8;7 +7.9;0.33;0.28;31.6;0.053;35;176;1.0103;3.15;0.38;8.8;6 +8.1;0.28;0.46;15.4;0.059;32;177;1.0004;3.27;0.58;9;4 +6.5;0.13;0.37;1;0.036;48;114;0.9911;3.41;0.51;11.5;8 +7.8;0.445;0.56;1;0.04;8;84;0.9938;3.25;0.43;10.8;5 +8.8;0.39;0.34;5.9;0.055;33;128;0.9927;2.95;0.51;11.8;6 +7.9;0.18;0.33;1.2;0.033;20;72;0.9922;3.12;0.38;10.5;7 +7.1;0.31;0.38;1.2;0.036;10;124;0.9924;3.14;0.44;9.9;6 +7.8;0.24;0.18;6.7;0.046;33;160;0.9963;3.2;0.56;9.8;6 +7;0.35;0.3;6.5;0.028;27;87;0.9936;3.4;0.42;11.4;7 +6.6;0.26;0.31;4.8;0.138;41;168;0.9951;3.2;0.38;9.3;5 +6.6;0.27;0.31;5.3;0.137;35;163;0.9951;3.2;0.38;9.3;5 +6.8;0.22;0.29;8.9;0.046;82;188;0.9955;3.3;0.44;10.3;6 +6.2;0.27;0.32;8.8;0.047;65;224;0.9961;3.17;0.47;8.9;5 +7;0.35;0.3;6.5;0.028;27;87;0.9936;3.4;0.42;11.4;7 +7.3;0.23;0.37;1.8;0.032;60;156;0.992;3.11;0.35;11.1;6 +6.2;0.3;0.2;6.6;0.045;42;170;0.9944;3.36;0.45;10.4;6 +6.4;0.35;0.2;5.7;0.034;18;117;0.9944;3.33;0.43;10.1;5 +7.6;0.32;0.34;18.35;0.054;44;197;1.0008;3.22;0.55;9;5 +6.3;0.31;0.3;10;0.046;49;212;0.9962;3.74;0.55;11.9;6 +7.2;0.25;0.28;14.4;0.055;55;205;0.9986;3.12;0.38;9;7 +7.2;0.25;0.28;14.4;0.055;55;205;0.9986;3.12;0.38;9;7 +7.3;0.26;0.33;17.85;0.049;41.5;195;1;3.06;0.44;9.1;7 +7.2;0.25;0.28;14.4;0.055;55;205;0.9986;3.12;0.38;9;7 +7.4;0.26;0.37;9.4;0.047;42;147;0.9982;3.46;0.72;10;5 +7.3;0.26;0.33;17.85;0.049;41.5;195;1;3.06;0.44;9.1;7 +6.7;0.25;0.26;1.55;0.041;118.5;216;0.9949;3.55;0.63;9.4;3 +7.1;0.16;0.25;1.3;0.034;28;123;0.9915;3.27;0.55;11.4;6 +9;0.43;0.3;1.5;0.05;7;175;0.9951;3.11;0.45;9.7;4 +7.2;0.25;0.28;14.4;0.055;55;205;0.9986;3.12;0.38;9;7 +7;0.24;0.3;4.2;0.04;41;213;0.9927;3.28;0.49;11.8;6 +6.7;0.265;0.22;8.6;0.048;54;198;0.9955;3.25;0.41;10.2;5 +7.7;0.12;0.32;1.4;0.06;47;150;0.9952;3.37;0.42;9.2;6 +7.2;0.21;0.33;3;0.036;35;132;0.9928;3.25;0.4;11;6 +8.5;0.32;0.36;14.9;0.041;47;190;0.9982;3.08;0.31;10;6 +6.9;0.18;0.3;2;0.038;39;190;0.9914;3.32;0.37;12.2;6 +7;0.24;0.3;4.2;0.04;41;213;0.9927;3.28;0.49;11.8;6 +6.3;0.26;0.29;2.2;0.043;35;175;0.9918;3.38;0.43;11.6;6 +6.7;0.26;0.3;1.8;0.043;25;121;0.9944;3.44;0.61;10.2;6 +7.9;0.29;0.36;11.1;0.033;43;208;0.9969;3.14;0.46;10.3;5 +6.5;0.27;0.19;4.2;0.046;6;114;0.9955;3.25;0.35;8.6;4 +6.7;0.33;0.42;6.4;0.058;27;151;0.9954;3.16;0.44;9.6;5 +6.7;0.31;0.42;6.4;0.057;25;148;0.9955;3.16;0.45;9.6;5 +6.6;0.25;0.31;1.5;0.035;32;127;0.9921;3.41;0.47;11.3;6 +6.4;0.24;0.22;1.5;0.038;38;157;0.9934;3.41;0.55;9.9;6 +6.8;0.26;0.29;16.95;0.056;48;179;0.9998;3.45;0.4;9.6;5 +7;0.61;0.26;1.7;0.051;25;161;0.9946;3.36;0.6;10.6;4 +6.8;0.22;0.3;13.6;0.055;50;180;0.9984;3.44;0.39;9.8;5 +8.1;0.31;0.24;1.6;0.032;10;67;0.9924;3.08;0.47;10.5;5 +7;0.2;0.3;6.1;0.037;31;120;0.9939;3.24;0.51;10.8;5 +7.9;0.18;0.37;3;0.061;25;178;0.995;3.22;0.51;10;6 +6.6;0.34;0.27;6.2;0.059;23;136;0.9957;3.3;0.49;10.1;6 +6.8;0.3;0.24;6.6;0.123;35;116;0.9953;3.07;0.48;9.4;5 +6.5;0.18;0.34;1.6;0.04;43;148;0.9912;3.32;0.59;11.5;8 +7;0.21;0.31;6;0.046;29;108;0.9939;3.26;0.5;10.8;6 +6.8;0.27;0.32;1.5;0.044;19;142;0.9921;3.1;0.43;9.9;6 +9.3;0.2;0.33;1.7;0.05;28;178;0.9954;3.16;0.43;9;4 +5.8;0.23;0.27;1.8;0.043;24;69;0.9933;3.38;0.31;9.4;6 +7.6;0.2;0.39;2.6;0.044;30;180;0.9941;3.46;0.44;10.8;7 +8.2;0.15;0.48;2.7;0.052;24;190;0.995;3.5;0.45;10.9;7 +7.5;0.4;1;19.5;0.041;33;148;0.9977;3.24;0.38;12;6 +6.5;0.18;0.34;1.6;0.04;43;148;0.9912;3.32;0.59;11.5;8 +7;0.13;0.3;5;0.056;31;122;0.9945;3.47;0.42;10.5;6 +6.9;0.17;0.22;4.6;0.064;55;152;0.9952;3.29;0.37;9.3;6 +7;0.3;0.32;6.4;0.034;28;97;0.9924;3.23;0.44;11.8;6 +7.6;0.445;0.44;14.5;0.045;68;212;0.9986;3.48;0.36;10;6 +6.8;0.3;0.24;6.6;0.123;35;116;0.9953;3.07;0.48;9.4;5 +7.5;0.22;0.33;6.7;0.036;45;138;0.9939;3.2;0.68;11.4;6 +9.2;0.23;0.3;1.1;0.031;40;99;0.9929;2.94;0.3;10.4;6 +8.7;0.34;0.46;13.8;0.055;68;198;0.9988;3.36;0.37;9.5;6 +6.6;0.545;0.04;2.5;0.031;48;111;0.9906;3.14;0.32;11.9;5 +8.1;0.3;0.31;1.1;0.041;49;123;0.9914;2.99;0.45;11.1;6 +6.9;0.16;0.3;9.6;0.057;50;185;0.9978;3.39;0.38;9.6;6 +8;0.32;0.36;4.6;0.042;56;178;0.9928;3.29;0.47;12;6 +6.1;0.22;0.23;3.1;0.052;15;104;0.9948;3.14;0.42;8.7;5 +6.9;0.16;0.3;9.6;0.057;50;185;0.9978;3.39;0.38;9.6;6 +7.5;0.15;0.38;1.8;0.054;19;101;0.9946;3.24;0.44;10;5 +8.4;0.29;0.29;1.05;0.032;4;55;0.9908;2.91;0.32;11.4;4 +6.6;0.37;0.47;6.5;0.061;23;150;0.9954;3.14;0.45;9.6;6 +7.7;0.38;0.4;2;0.038;28;152;0.9906;3.18;0.32;12.9;6 +6.3;0.25;0.23;14.9;0.039;47;142;0.99705;3.14;0.35;9.7;6 +8.3;0.3;0.36;10;0.042;33;169;0.9982;3.23;0.51;9.3;6 +6.6;0.22;0.58;1.1;0.133;52;136;0.9932;3.1;0.3;9.1;5 +6.1;0.34;0.31;12;0.053;46;238;0.9977;3.16;0.48;8.6;5 +7.5;0.22;0.29;4.8;0.05;33;87;0.994;3.14;0.42;9.9;5 +8.3;0.3;0.36;10;0.042;33;169;0.9982;3.23;0.51;9.3;6 +8;0.27;0.24;1.2;0.044;20;102;0.9929;3.28;0.42;10.9;5 +6.1;0.17;0.27;1.5;0.056;45;135;0.9924;3.2;0.43;10.2;6 +7.4;0.18;0.3;10.4;0.045;44;174;0.9966;3.11;0.57;9.7;6 +6.7;0.16;0.28;2.5;0.046;40;153;0.9921;3.38;0.51;11.4;7 +6.1;0.255;0.44;12.3;0.045;53;197;0.9967;3.24;0.54;9.5;6 +7.4;0.23;0.25;1.4;0.049;43;141;0.9934;3.42;0.54;10.2;7 +6.4;0.16;0.28;2.2;0.042;33;93;0.9914;3.31;0.43;11.1;6 +6.3;0.25;0.23;14.9;0.039;47;142;0.99705;3.14;0.35;9.7;6 +6.7;0.27;0.25;8;0.053;54;202;0.9961;3.22;0.43;9.3;5 +6.9;0.29;0.23;8.6;0.056;56;215;0.9967;3.17;0.44;8.8;5 +9.6;0.21;0.28;1.2;0.038;12;53;0.9926;2.8;0.46;10.6;5 +6.6;0.62;0.2;8.7;0.046;81;224;0.99605;3.17;0.44;9.3;5 +6.4;0.28;0.19;5.4;0.042;67;181;0.99435;3.31;0.35;10.2;6 +8;0.3;0.28;5.7;0.044;31;124;0.9948;3.16;0.51;10.2;6 +6.4;0.17;0.27;1.5;0.037;20;98;0.9916;3.46;0.42;11;7 +7.3;0.21;0.3;10.9;0.037;18;112;0.997;3.4;0.5;9.6;6 +6.7;0.27;0.25;8;0.053;54;202;0.9961;3.22;0.43;9.3;5 +6.9;0.29;0.23;8.6;0.056;56;215;0.9967;3.17;0.44;8.8;5 +6.6;0.32;0.26;7.7;0.054;56;209;0.9961;3.17;0.45;8.8;5 +7.4;0.32;0.22;1.7;0.051;50;179;0.9955;3.28;0.69;8.9;5 +6.6;0.37;0.07;1.4;0.048;58;144;0.9922;3.17;0.38;10;5 +7.7;0.43;0.28;4.5;0.046;33;102;0.9918;3.16;0.56;12.2;7 +7.8;0.39;0.26;9.9;0.059;33;181;0.9955;3.04;0.42;10.9;6 +6.5;0.18;0.26;1.4;0.041;40;141;0.9941;3.34;0.72;9.5;6 +7.8;0.4;0.26;9.5;0.059;32;178;0.9955;3.04;0.43;10.9;6 +7.8;0.39;0.26;9.9;0.059;33;181;0.9955;3.04;0.42;10.9;6 +6.9;0.19;0.28;3;0.054;33;99;0.9924;3.16;0.4;10.8;6 +7.7;0.49;1;19.6;0.03;28;135;0.9973;3.24;0.4;12;6 +6.6;0.25;0.35;14;0.069;42;163;0.999;3.56;0.47;9.8;5 +6.5;0.18;0.26;1.4;0.041;40;141;0.9941;3.34;0.72;9.5;6 +6.4;0.15;0.36;1.8;0.034;43;150;0.9922;3.42;0.69;11;8 +6.4;0.15;0.36;1.8;0.034;43;150;0.9922;3.42;0.69;11;8 +8.4;0.17;0.31;5.4;0.052;47;150;0.9953;3.24;0.38;9.8;5 +6.1;0.32;0.37;1.8;0.051;13;200;0.9945;3.49;0.44;10.5;4 +8.5;0.21;0.26;9.25;0.034;73;142;0.9945;3.05;0.37;11.4;6 +8.7;0.45;0.4;1.5;0.067;17;100;0.9957;3.27;0.57;10.1;6 +6.7;0.24;0.29;6.8;0.038;54;127;0.9932;3.33;0.46;11.6;7 +8.5;0.21;0.26;9.25;0.034;73;142;0.9945;3.05;0.37;11.4;6 +7.4;0.33;0.26;2.6;0.04;29;115;0.9913;3.07;0.52;11.8;7 +7.2;0.26;0.3;2.1;0.033;50;158;0.9909;3.33;0.43;12.1;7 +8.2;0.36;0.29;7.6;0.035;37;122;0.9939;3.16;0.34;12;5 +7.8;0.2;0.24;1.6;0.026;26;189;0.991;3.08;0.74;12.1;7 +9.4;0.16;0.3;1.4;0.042;26;176;0.9954;3.15;0.46;9.1;5 +6.4;0.33;0.24;1.6;0.054;25;117;0.9943;3.36;0.5;9.3;5 +7.8;0.22;0.36;1.4;0.056;21;153;0.993;3.2;0.53;10.4;6 +7.4;0.35;0.31;17.95;0.062;42;187;1.0002;3.27;0.64;9.1;5 +6.6;0.37;0.24;2;0.064;23;120;0.9946;3.32;0.54;9.4;5 +6.7;0.37;0.41;6.3;0.061;22;149;0.9953;3.16;0.47;9.6;6 +7.1;0.37;0.32;1.4;0.037;27;126;0.9918;3.19;0.62;12;5 +6.9;0.25;0.27;9.05;0.039;37;128;0.9936;3.27;0.34;11.3;8 +6.8;0.23;0.29;15.4;0.073;56;173;0.9984;3.06;0.41;8.7;6 +6.4;0.26;0.21;7.1;0.04;35;162;0.9956;3.39;0.58;9.9;6 +7.6;0.3;0.22;10.2;0.049;57;191;0.9966;3.08;0.4;9.3;6 +9.4;0.16;0.23;1.6;0.042;14;67;0.9942;3.07;0.32;9.5;5 +6.8;0.23;0.29;15.4;0.073;56;173;0.9984;3.06;0.41;8.7;6 +6.4;0.26;0.21;7.1;0.04;35;162;0.9956;3.39;0.58;9.9;6 +7.6;0.3;0.22;10.2;0.049;57;191;0.9966;3.08;0.4;9.3;6 +7.5;0.33;0.39;12.4;0.065;29;119;0.9974;3.16;0.39;9.4;5 +7.6;0.38;0.2;3.4;0.046;9;116;0.9944;3.15;0.41;9.4;5 +8.8;0.2;0.43;15;0.053;60;184;1.0008;3.28;0.79;8.8;6 +7.5;0.33;0.39;12.4;0.065;29;119;0.9974;3.16;0.39;9.4;5 +8.8;0.2;0.43;15;0.053;60;184;1.0008;3.28;0.79;8.8;6 +6.6;0.36;0.21;1.5;0.049;39;184;0.9928;3.18;0.41;9.9;6 +7.6;0.38;0.2;3.4;0.046;9;116;0.9944;3.15;0.41;9.4;5 +5.6;0.46;0.24;4.8;0.042;24;72;0.9908;3.29;0.37;12.6;6 +7.2;0.15;0.38;1.2;0.038;18;110;0.9917;3.19;0.43;11.1;6 +8.2;0.42;0.29;4.1;0.03;31;100;0.9911;3;0.32;12.8;7 +6.8;0.3;0.35;2.8;0.038;10;164;0.9912;3.09;0.53;12;6 +6.7;0.27;0.3;13.9;0.029;34;131;0.9953;3.36;0.5;12;7 +7.2;0.5;0;0.8;0.034;46;114;0.9932;3.19;0.34;9.2;4 +6;0.26;0.29;1;0.032;27;96;0.9896;3.38;0.44;12.3;6 +6.8;0.33;0.28;1.2;0.032;38;131;0.9889;3.19;0.41;13;6 +6.8;0.3;0.35;2.8;0.038;10;164;0.9912;3.09;0.53;12;6 +7.4;0.29;0.31;1.7;0.035;23;110;0.9926;3.07;0.38;10.9;5 +8.2;0.42;0.29;4.1;0.03;31;100;0.9911;3;0.32;12.8;7 +7.3;0.19;0.24;6.3;0.054;34;231;0.9964;3.36;0.54;10;6 +6.5;0.32;0.12;11.5;0.033;35;165;0.9974;3.22;0.32;9;5 +7.1;0.32;0.4;1.5;0.034;13;84;0.9944;3.42;0.6;10.4;5 +6.5;0.32;0.12;11.5;0.033;35;165;0.9974;3.22;0.32;9;5 +7.3;0.19;0.24;6.3;0.054;34;231;0.9964;3.36;0.54;10;6 +7.3;0.17;0.23;6.3;0.051;35;240;0.9963;3.36;0.54;10;6 +7.7;0.44;0.24;11.2;0.031;41;167;0.9948;3.12;0.43;11.3;7 +7.7;0.44;0.24;11.2;0.031;41;167;0.9948;3.12;0.43;11.3;7 +7.4;0.49;0.24;15.1;0.03;34;153;0.9953;3.13;0.51;12;7 +7.7;0.44;0.24;11.2;0.031;41;167;0.9948;3.12;0.43;11.3;7 +7.4;0.49;0.24;15.1;0.03;34;153;0.9953;3.13;0.51;12;7 +6.4;0.21;0.3;5.6;0.044;43;160;0.9949;3.6;0.41;10.6;6 +8;0.55;0.42;12.6;0.211;37;213;0.9988;2.99;0.56;9.3;5 +7;0.19;0.23;5.7;0.123;27;104;0.9954;3.04;0.54;9.4;6 +7.2;0.24;0.29;2.2;0.037;37;102;0.992;3.27;0.64;11;7 +6.5;0.34;0.36;11;0.052;53;247;0.9984;3.44;0.55;9.3;6 +7;0.19;0.23;5.7;0.123;27;104;0.9954;3.04;0.54;9.4;6 +6.9;0.18;0.33;1;0.054;24;164;0.9926;3.42;0.51;10.5;5 +7.2;0.24;0.29;2.2;0.037;37;102;0.992;3.27;0.64;11;7 +8.2;0.18;0.31;11.8;0.039;96;249;0.9976;3.07;0.52;9.5;6 +8.3;0.28;0.45;7.8;0.059;32;139;0.9972;3.33;0.77;11.2;6 +6.1;0.34;0.46;4.7;0.029;21;94;0.991;3.29;0.62;12.3;6 +7.4;0.44;0.2;11.5;0.049;44;157;0.998;3.27;0.44;9;5 +7.6;0.26;0.58;7.9;0.041;62;180;0.9966;3.07;0.38;9;5 +7.4;0.44;0.2;11.5;0.049;44;157;0.998;3.27;0.44;9;5 +8.7;0.49;0.57;17.8;0.052;34;243;1.0007;2.98;0.82;9;5 +7;0.24;0.25;1.7;0.042;48;189;0.992;3.25;0.42;11.4;6 +7.1;0.25;0.25;1.6;0.046;50;181;0.9925;3.2;0.42;11;7 +6.1;0.34;0.46;4.7;0.029;21;94;0.991;3.29;0.62;12.3;6 +6.4;0.18;0.31;1.6;0.049;36;127;0.9934;3.6;0.67;10.4;7 +8.3;0.27;0.39;2.4;0.058;16;107;0.9955;3.28;0.59;10.3;5 +6.8;0.24;0.35;6.4;0.048;44;172;0.9944;3.29;0.55;10.5;7 +8;0.22;0.28;14;0.053;83;197;0.9981;3.14;0.45;9.8;6 +10;0.91;0.42;1.6;0.056;34;181;0.9968;3.11;0.46;10;4 +8.9;0.34;0.34;1.6;0.056;13;176;0.9946;3.14;0.47;9.7;5 +8.9;0.33;0.34;1.4;0.056;14;171;0.9946;3.13;0.47;9.7;5 +8;0.22;0.28;14;0.053;83;197;0.9981;3.14;0.45;9.8;6 +6.7;0.18;0.19;4.7;0.046;57;161;0.9946;3.32;0.66;10.5;6 +7.8;0.2;0.28;10.2;0.054;78;186;0.997;3.14;0.46;10;6 +7.3;0.13;0.31;2.3;0.054;22;104;0.9924;3.24;0.92;11.5;7 +6.6;0.28;0.3;7.8;0.049;57;202;0.9958;3.24;0.39;9.5;5 +7.1;0.25;0.3;2.4;0.042;25;122;0.994;3.43;0.61;10.5;6 +7.6;0.36;0.44;8.3;0.255;28;142;0.9958;3.12;0.43;10.2;6 +7.6;0.27;0.25;13.9;0.05;45;199;0.9984;3.34;0.5;9.8;6 +6.9;0.37;0.28;13.8;0.031;34;137;0.9948;3.1;0.37;11.6;6 +7.4;0.21;0.27;7.3;0.031;41;144;0.9932;3.15;0.38;11.8;7 +8.2;0.18;0.28;8.5;0.035;41;140;0.9952;3.04;0.37;10.1;7 +6.3;0.19;0.21;1.8;0.049;35;163;0.9924;3.31;0.5;10.3;6 +7;0.21;0.22;5.1;0.048;38;168;0.9945;3.34;0.49;10.4;6 +5.8;0.33;0.2;16.05;0.047;26;166;0.9976;3.09;0.46;8.9;5 +5.8;0.33;0.2;16.05;0.047;26;166;0.9976;3.09;0.46;8.9;5 +7.9;0.29;0.31;7.35;0.034;37;154;0.9938;3.06;0.31;10.8;5 +6.6;0.31;0.38;16.05;0.058;16;165;0.9997;3.38;0.6;9.2;5 +8;0.19;0.3;2;0.053;48;140;0.994;3.18;0.49;9.6;6 +8;0.2;0.36;1.2;0.032;21;78;0.9921;3.08;0.37;10.4;6 +8;0.25;0.26;14;0.043;41;248;0.9986;3.03;0.57;8.7;6 +7.2;0.2;0.61;16.2;0.043;14;103;0.9987;3.06;0.36;9.2;6 +7.7;0.3;0.42;14.3;0.045;45;213;0.9991;3.18;0.63;9.2;5 +7.2;0.2;0.61;16.2;0.043;14;103;0.9987;3.06;0.36;9.2;6 +7.7;0.3;0.42;14.3;0.045;45;213;0.9991;3.18;0.63;9.2;5 +7.7;0.3;0.42;14.3;0.045;45;213;0.9991;3.18;0.63;9.2;5 +6.4;0.22;0.32;7.9;0.029;34;124;0.9948;3.4;0.39;10.2;5 +7.2;0.2;0.61;16.2;0.043;14;103;0.9987;3.06;0.36;9.2;6 +7;0.53;0.02;1;0.036;39;107;0.993;3.2;0.32;9;5 +7.3;0.24;0.41;13.6;0.05;41;178;0.9988;3.37;0.43;9.7;5 +7.2;0.24;0.4;17.85;0.049;50;185;1;3.34;0.42;9.6;5 +7.6;0.15;0.4;1.3;0.036;24;112;0.9932;3.14;0.76;10;5 +7.7;0.3;0.42;14.3;0.045;45;213;0.9991;3.18;0.63;9.2;5 +7.6;0.33;0.41;13.7;0.045;44;197;0.9989;3.18;0.64;9.1;5 +6.8;0.24;0.31;18.3;0.046;40;142;1;3.3;0.41;8.7;5 +6.8;0.24;0.31;18.3;0.046;40;142;1;3.3;0.41;8.7;5 +6.8;0.35;0.44;6.5;0.056;31;161;0.9952;3.14;0.44;9.5;5 +7.9;0.26;0.33;10.3;0.039;73;212;0.9969;2.93;0.49;9.5;6 +7.5;0.29;0.67;8.1;0.037;53;166;0.9966;2.9;0.41;8.9;6 +7.5;0.29;0.67;8.1;0.037;53;166;0.9966;2.9;0.41;8.9;6 +7.2;0.31;0.41;8.6;0.053;15;89;0.9976;3.29;0.64;9.9;6 +6.7;0.44;0.31;1.9;0.03;41;104;0.99;3.29;0.62;12.6;7 +10;0.23;0.27;14.1;0.033;45;166;0.9988;2.72;0.43;9.7;6 +7.4;0.21;0.3;7.9;0.039;14;118;0.9942;2.96;0.34;10.4;5 +8.8;0.23;0.35;10.7;0.04;26;183;0.9984;2.93;0.49;9.1;6 +7.8;0.34;0.27;1.2;0.04;25;106;0.9932;3.01;0.55;10.4;5 +7.9;0.26;0.33;10.3;0.039;73;212;0.9969;2.93;0.49;9.5;6 +7.5;0.29;0.67;8.1;0.037;53;166;0.9966;2.9;0.41;8.9;6 +6;0.28;0.35;1.9;0.037;16;120;0.9933;3.16;0.69;10.6;5 +7.9;0.37;0.3;2.7;0.029;64;158;0.9916;3.12;0.59;12;7 +7.2;0.36;0.36;5.7;0.038;26;98;0.9914;2.93;0.59;12.5;7 +7.6;0.13;0.34;9.3;0.062;40;126;0.9966;3.21;0.39;9.6;5 +6.6;0.25;0.36;8.1;0.045;54;180;0.9958;3.08;0.42;9.2;5 +7.1;0.18;0.26;1.3;0.041;20;71;0.9926;3.04;0.74;9.9;6 +7.9;0.3;0.27;8.5;0.036;20;112;0.9939;2.96;0.46;11.7;6 +8.3;0.23;0.3;2.1;0.049;21;153;0.9953;3.09;0.5;9.6;6 +6.8;0.43;0.3;3.5;0.033;27;135;0.9906;3;0.37;12;6 +7.2;0.36;0.36;5.7;0.038;26;98;0.9914;2.93;0.59;12.5;7 +6.6;0.25;0.36;8.1;0.045;54;180;0.9958;3.08;0.42;9.2;5 +7.1;0.18;0.26;1.3;0.041;20;71;0.9926;3.04;0.74;9.9;6 +6.6;0.35;0.29;14.4;0.044;54;177;0.9991;3.17;0.58;8.9;6 +7.3;0.22;0.5;13.7;0.049;56;189;0.9994;3.24;0.66;9;6 +8.1;0.26;0.33;11.1;0.052;52.5;158;0.9976;3.03;0.49;10.2;7 +7.6;0.13;0.34;9.3;0.062;40;126;0.9966;3.21;0.39;9.6;5 +7;0.12;0.19;4.9;0.055;27;127;0.9953;3.29;0.41;9.4;5 +8.2;0.37;0.27;1.7;0.028;10;59;0.9923;2.97;0.48;10.4;5 +7.6;0.26;0.36;1.6;0.032;6;106;0.993;3.15;0.4;10.4;4 +6.3;0.2;0.58;1.4;0.204;15;97;0.9931;3.16;0.43;10;6 +6.3;0.22;0.57;1.4;0.208;14;96;0.9932;3.16;0.43;10;6 +7.1;0.25;0.28;1.6;0.052;46;169;0.9926;3.05;0.41;10.5;5 +7;0.27;0.32;6.8;0.047;47;193;0.9938;3.23;0.39;11.4;6 +8.8;0.34;0.33;9.7;0.036;46;172;0.9966;3.08;0.4;10.2;5 +9.2;0.27;0.34;10.5;0.043;49;228;0.9974;3.04;0.41;10.4;6 +7.1;0.49;0.22;2;0.047;146.5;307.5;0.9924;3.24;0.37;11;3 +9.2;0.71;0.23;6.2;0.042;15;93;0.9948;2.89;0.34;10.1;6 +7.2;0.47;0.65;8.3;0.083;27;182;0.9964;3;0.35;9.2;5 +6.8;0.28;0.36;1.6;0.04;25;87;0.9924;3.23;0.66;10.3;6 +8.8;0.34;0.33;9.7;0.036;46;172;0.9966;3.08;0.4;10.2;5 +9.2;0.27;0.34;10.5;0.043;49;228;0.9974;3.04;0.41;10.4;6 +7.3;0.13;0.27;4.6;0.08;34;172;0.9938;3.23;0.39;11.1;7 +7.2;0.16;0.35;1.2;0.031;27;84;0.9928;3.33;0.34;9.9;5 +6.8;0.31;0.32;7.6;0.052;35;143;0.9959;3.14;0.38;9;5 +8.3;0.36;0.57;15;0.052;35;256;1.0001;2.93;0.64;8.6;5 +6.8;0.31;0.32;7.6;0.052;35;143;0.9959;3.14;0.38;9;5 +8.3;0.36;0.57;15;0.052;35;256;1.0001;2.93;0.64;8.6;5 +6.3;0.25;0.44;11.6;0.041;48;195;0.9968;3.18;0.52;9.5;5 +6;0.45;0.42;1.1;0.051;61;197;0.9932;3.02;0.4;9;5 +8.1;0.26;0.3;7.8;0.049;39;152;0.9954;2.99;0.58;10;6 +6.4;0.22;0.32;12;0.066;57;158;0.9992;3.6;0.43;9;6 +5.7;0.45;0.42;1.1;0.051;61;197;0.9932;3.02;0.4;9;5 +7.2;0.19;0.31;1.4;0.046;37;135;0.9939;3.34;0.57;10.2;7 +6.7;0.31;0.44;6.7;0.054;29;160;0.9952;3.04;0.44;9.6;5 +8;0.25;0.13;17.2;0.036;49;219;0.9996;2.96;0.46;9.7;5 +9.9;1.005;0.46;1.4;0.046;34;185;0.9966;3.02;0.49;10.2;4 +8.1;0.31;0.36;8.2;0.028;29;142;0.9925;3.01;0.34;13;7 +8.1;0.24;0.38;4.3;0.044;49;172;0.996;3.37;0.74;10.8;6 +8;0.25;0.13;17.2;0.036;49;219;0.9996;2.96;0.46;9.7;5 +6.4;0.29;0.28;11.1;0.063;66;169;0.9973;2.89;0.57;9;5 +7.2;0.15;0.33;1.1;0.027;16;63;0.9937;3.37;0.4;9.9;5 +7;0.12;0.32;7.2;0.058;22;89;0.9966;3.29;0.38;9.2;6 +7.4;0.32;0.55;16.6;0.056;53;238;1.0017;2.96;0.58;8.7;6 +8.5;0.17;0.31;1;0.024;13;91;0.993;2.79;0.37;10.1;5 +8.5;0.17;0.31;1;0.024;13;91;0.993;2.79;0.37;10.1;5 +9.5;0.21;0.47;1.3;0.039;21;123;0.9959;2.9;0.64;9.5;5 +8.2;0.21;0.48;1.4;0.041;11;99;0.9958;3.17;0.57;9.9;5 +7.4;0.32;0.55;16.6;0.056;53;238;1.0017;2.96;0.58;8.7;6 +6.8;0.31;0.42;6.9;0.046;50;173;0.9958;3.19;0.46;9;5 +6.8;0.27;0.28;13.3;0.076;50;163;0.9979;3.03;0.38;8.6;6 +7.4;0.21;0.3;8.1;0.047;13;114;0.9941;3.12;0.35;10.5;6 +8;0.23;0.35;9.2;0.044;53;186;0.997;3.09;0.56;9.5;7 +7.6;0.2;0.31;1.4;0.047;41;142;0.9934;3.43;0.53;10.1;6 +6.3;0.41;0.3;3.2;0.03;49;164;0.9927;3.53;0.79;11.7;7 +8.3;0.49;0.43;2.5;0.036;32;116;0.9944;3.23;0.47;10.7;6 +6.3;0.41;0.3;3.2;0.03;49;164;0.9927;3.53;0.79;11.7;7 +7.6;0.2;0.26;4.5;0.086;37;133;0.9963;3.15;0.42;9.2;5 +7.5;0.26;0.26;18.35;0.084;33;139;1.0011;3.17;0.39;8.8;5 +7.5;0.26;0.26;18.35;0.084;33;139;1.0011;3.17;0.39;8.8;5 +6.8;0.27;0.35;7.8;0.048;76;197;0.9959;3.24;0.43;9.5;6 +6.8;0.28;0.37;7;0.057;35;208;0.9973;3.57;0.55;10.2;5 +8.4;0.2;0.27;6.3;0.048;30;143;0.9966;3.25;0.5;9.1;6 +7.9;0.33;0.26;1.2;0.044;23;103;0.9932;3.19;0.54;10.5;6 +7.5;0.38;0.5;12.8;0.042;57;184;0.9984;3.09;0.46;9;6 +7.6;0.2;0.3;14.2;0.056;53;212.5;0.999;3.14;0.46;8.9;8 +7.6;0.2;0.3;14.2;0.056;53;212.5;0.999;3.14;0.46;8.9;8 +7.6;0.2;0.3;14.2;0.056;53;212.5;0.999;3.14;0.46;8.9;8 +7.6;0.2;0.3;14.2;0.056;53;212.5;0.999;3.14;0.46;8.9;8 +7.6;0.2;0.3;14.2;0.056;53;212.5;0.999;3.14;0.46;8.9;8 +8.1;0.19;0.58;16.65;0.049;48;181;1.0006;3.2;0.62;9.1;6 +7.6;0.16;0.41;1.9;0.047;27;151;0.9937;3.2;0.53;10.1;6 +8.1;0.22;0.28;7.7;0.043;57;176;0.9954;3.12;0.55;10;5 +8;0.22;0.32;10.4;0.043;63;201;0.997;3.11;0.53;9.5;6 +7.1;0.33;0.3;3.3;0.034;30;102;0.9912;3.08;0.31;12.3;7 +6.4;0.43;0.27;1.1;0.054;5;110;0.9939;3.24;0.52;9.1;4 +7.6;0.2;0.3;14.2;0.056;53;212.5;0.999;3.14;0.46;8.9;8 +7;0.12;0.28;6.3;0.057;17;103;0.9957;3.5;0.44;9.6;5 +7.4;0.3;0.22;5.25;0.053;33;180;0.9926;3.13;0.45;11.6;6 +7;0.28;0.33;14.6;0.043;47;168;0.9994;3.34;0.67;8.8;6 +8.4;0.2;0.38;11.8;0.055;51;170;1.0004;3.34;0.82;8.9;6 +7;0.28;0.33;14.6;0.043;47;168;0.9994;3.34;0.67;8.8;6 +8.4;0.2;0.38;11.8;0.055;51;170;1.0004;3.34;0.82;8.9;6 +8.4;0.2;0.38;11.8;0.055;51;170;1.0004;3.34;0.82;8.9;6 +7.3;0.18;0.31;17.3;0.055;32;197;1.0002;3.13;0.46;9;6 +6.8;0.31;0.09;1.4;0.04;56;145;0.9922;3.19;0.46;10;5 +6.7;0.31;0.08;1.3;0.038;58;147;0.9922;3.18;0.46;10;5 +7.6;0.17;0.35;1.6;0.047;43;154;0.9934;3.36;0.69;11.1;6 +7.4;0.3;0.22;5.25;0.053;33;180;0.9926;3.13;0.45;11.6;6 +7.4;0.26;0.31;2.4;0.043;58;178;0.9941;3.42;0.68;10.6;6 +7;0.28;0.33;14.6;0.043;47;168;0.9994;3.34;0.67;8.8;6 +8.4;0.2;0.38;11.8;0.055;51;170;1.0004;3.34;0.82;8.9;6 +5.6;0.18;0.31;1.5;0.038;16;84;0.9924;3.34;0.58;10.1;6 +7.2;0.15;0.39;1.8;0.043;21;159;0.9948;3.52;0.47;10;5 +8;0.4;0.33;7.7;0.034;27;98;0.9935;3.18;0.41;12.2;7 +7;0.25;0.56;2;0.035;20;95;0.9918;3.23;0.53;11;6 +7.2;0.15;0.39;1.8;0.043;21;159;0.9948;3.52;0.47;10;5 +6.8;0.18;0.46;1.4;0.064;37;160;0.9924;3.37;0.45;11.1;5 +6.6;0.32;0.22;16.7;0.046;38;133;0.9979;3.22;0.67;10.4;6 +9;0.55;0.3;8.1;0.026;14;71;0.993;2.94;0.36;11.8;5 +6.9;0.19;0.39;8;0.028;22;84;0.994;3.11;0.66;10.8;6 +6.3;0.41;0.33;4.7;0.023;28;110;0.991;3.3;0.38;12.5;7 +9;0.55;0.3;8.1;0.026;14;71;0.993;2.94;0.36;11.8;5 +7;0.2;0.34;2.1;0.049;12;136;0.9922;3.25;0.46;11.6;7 +6.6;0.32;0.22;16.7;0.046;38;133;0.9979;3.22;0.67;10.4;6 +7.7;0.26;0.34;6.4;0.05;36;163;0.9937;3.19;0.7;11.5;6 +6.3;0.21;0.28;1.5;0.051;46;142;0.9928;3.23;0.42;10.1;6 +7.6;0.34;0.39;7.6;0.04;45;215;0.9965;3.11;0.53;9.2;6 +6.3;0.21;0.28;1.5;0.051;46;142;0.9928;3.23;0.42;10.1;6 +8;0.43;0.4;12.4;0.168;29;190;0.9991;3.07;0.64;9.2;5 +7.5;0.3;0.71;1.3;0.16;44;149;0.9948;3.08;0.42;8.9;5 +6.4;0.26;0.4;1.7;0.179;5;60;0.9925;3.09;0.54;10.1;5 +6.9;0.32;0.15;8.1;0.046;51;180;0.9958;3.13;0.45;8.9;5 +8.9;0.21;0.34;7.1;0.037;33;150;0.9962;3.1;0.45;9.7;6 +7.6;0.34;0.39;7.6;0.04;45;215;0.9965;3.11;0.53;9.2;6 +9.5;0.42;0.41;2.3;0.034;22;145;0.9951;3.06;0.52;11;6 +7.6;0.29;0.26;6.5;0.042;32;160;0.9944;3.14;0.47;10.7;5 +6.5;0.25;0.2;1.4;0.024;29;101;0.9916;3.24;0.54;10.8;6 +7.2;0.23;0.33;12.7;0.049;50;183;0.9987;3.41;0.4;9.8;5 +7.9;0.35;0.36;1.6;0.038;11;124;0.9928;3.25;0.48;11;5 +8.8;0.2;0.28;1.1;0.018;18;72;0.9926;2.97;0.35;10.4;5 +5.7;0.27;0.32;1.2;0.046;20;155;0.9934;3.8;0.41;10.2;6 +7.6;0.29;0.26;6.5;0.042;32;160;0.9944;3.14;0.47;10.7;5 +5.5;0.14;0.27;4.6;0.029;22;104;0.9949;3.34;0.44;9;5 +8.7;0.24;0.35;0.6;0.042;11;71;0.9926;3.08;0.38;10.6;5 +6.7;0.3;0.45;10.6;0.032;56;212;0.997;3.22;0.59;9.5;6 +5.5;0.14;0.27;4.6;0.029;22;104;0.9949;3.34;0.44;9;5 +5.6;0.13;0.27;4.8;0.028;22;104;0.9948;3.34;0.45;9.2;6 +7.4;0.18;0.34;2.7;0.03;30;107;0.992;2.97;0.53;11;6 +5.7;0.385;0.04;12.6;0.034;22;115;0.9964;3.28;0.63;9.9;6 +8.7;0.24;0.35;0.6;0.042;11;71;0.9926;3.08;0.38;10.6;5 +8.3;0.33;0.43;9.2;0.046;22;126;0.9982;3.38;0.47;9.3;5 +6.8;0.34;0.44;6.6;0.052;28;156;0.9955;3.14;0.41;9.6;5 +6.8;0.33;0.44;7;0.05;29;155;0.9955;3.14;0.42;9.5;5 +6.3;0.28;0.24;8.45;0.031;32;172;0.9958;3.39;0.57;9.7;7 +11.8;0.23;0.38;11.1;0.034;15;123;0.9997;2.93;0.55;9.7;3 +6.8;0.21;0.27;18.15;0.042;41;146;1.0001;3.3;0.36;8.7;5 +6.8;0.21;0.27;18.15;0.042;41;146;1.0001;3.3;0.36;8.7;5 +8.6;0.485;0.29;4.1;0.026;19;101;0.9918;3.01;0.38;12.4;5 +8.6;0.485;0.29;4.1;0.026;19;101;0.9918;3.01;0.38;12.4;5 +7.3;0.29;0.29;4.6;0.029;27;155;0.9931;3.07;0.26;10.6;6 +6.8;0.21;0.27;18.15;0.042;41;146;1.0001;3.3;0.36;8.7;5 +6.7;0.31;0.31;4.9;0.031;20;151;0.9926;3.36;0.82;12;7 +7.3;0.29;0.37;8.3;0.044;45;227;0.9966;3.12;0.47;9;5 +5.7;0.46;0.46;1.4;0.04;31;169;0.9932;3.13;0.47;8.8;5 +6.8;0.28;0.44;11.5;0.04;58;223;0.9969;3.22;0.56;9.5;5 +6.7;0.23;0.33;1.8;0.036;23;96;0.9925;3.32;0.4;10.8;6 +6.9;0.17;0.25;1.6;0.047;34;132;0.9914;3.16;0.48;11.4;5 +7.6;0.18;0.36;2.4;0.049;38;123;0.996;3.6;0.46;10.3;5 +6.6;0.22;0.28;4.9;0.042;51;180;0.9952;3.3;0.75;9.5;6 +7.8;0.27;0.28;1.8;0.05;21;127;0.9934;3.15;0.44;9.9;5 +7.7;0.28;0.29;4.3;0.051;25;142;0.9939;3.16;0.39;10.2;5 +7.6;0.29;0.29;4.4;0.051;26;146;0.9939;3.16;0.39;10.2;5 +5.7;0.32;0.18;1.4;0.029;26;104;0.9906;3.44;0.37;11;6 +7.1;0.33;0.25;1.6;0.03;25;126;0.9901;3.22;0.34;12.1;7 +7.3;0.34;0.3;1.3;0.057;25;173;0.9948;3.26;0.51;9.1;6 +6.5;0.19;0.26;5.2;0.04;31;140;0.995;3.26;0.68;9.5;6 +6.6;0.23;0.27;5.6;0.043;43;164;0.9953;3.27;0.76;9.5;5 +6.6;0.27;0.29;5.3;0.045;57;189;0.9953;3.31;0.79;9.8;5 +6.6;0.22;0.28;4.9;0.042;51;180;0.9952;3.3;0.75;9.5;6 +7.6;0.18;0.36;2.4;0.049;38;123;0.996;3.6;0.46;10.3;5 +6.8;0.36;0.32;1.6;0.039;10;124;0.9948;3.3;0.67;9.6;5 +7;0.22;0.39;2.1;0.055;39;198;0.9951;3.52;0.54;10.2;6 +5.9;0.17;0.3;1.4;0.042;25;119;0.9931;3.68;0.72;10.5;6 +7.4;0.45;0.32;7.1;0.044;17;117;0.9962;3.32;0.41;10.4;4 +6.8;0.36;0.32;1.6;0.039;10;124;0.9948;3.3;0.67;9.6;5 +7.5;0.42;0.14;10.7;0.046;18;95;0.9959;3.22;0.33;10.7;5 +7.5;0.33;0.32;11.1;0.036;25;119;0.9962;3.15;0.34;10.5;6 +9.4;0.3;0.32;10.7;0.029;14;111;0.9958;2.85;0.42;10.6;5 +7.9;0.17;0.32;1.6;0.053;47;150;0.9948;3.29;0.76;9.6;6 +7.9;0.17;0.32;1.6;0.053;47;150;0.9948;3.29;0.76;9.6;6 +8.2;0.17;0.32;1.5;0.05;17;101;0.994;3.14;0.58;9.5;5 +8.3;0.17;0.31;1.5;0.049;48;153;0.9942;3.12;0.58;9.4;6 +8.7;0.15;0.3;1.6;0.046;29;130;0.9942;3.22;0.38;9.8;6 +7.9;0.17;0.32;1.6;0.053;47;150;0.9948;3.29;0.76;9.6;6 +7.2;0.25;0.19;8;0.044;51;172;0.9964;3.16;0.44;9.2;5 +7.2;0.24;0.19;7.7;0.045;53;176;0.9958;3.17;0.38;9.5;5 +5.3;0.76;0.03;2.7;0.043;27;93;0.9932;3.34;0.38;9.2;5 +6.6;0.22;0.53;15.1;0.052;22;136;0.9986;2.94;0.35;9.4;5 +6.6;0.22;0.53;15.1;0.052;22;136;0.9986;2.94;0.35;9.4;5 +8.4;0.28;0.4;8.9;0.048;33;146;0.9988;3.4;0.46;9.3;5 +6.8;0.32;0.34;6;0.05;5;129;0.9953;3.19;0.4;9.1;5 +6.7;0.24;0.33;12.3;0.046;31;145;0.9983;3.36;0.4;9.5;5 +7.4;0.18;0.36;13.1;0.056;72;163;1;3.42;0.35;9.1;6 +6;0.16;0.3;6.7;0.043;43;153;0.9951;3.63;0.46;10.6;5 +6.7;0.24;0.33;12.3;0.046;31;145;0.9983;3.36;0.4;9.5;5 +6.8;0.28;0.35;2.3;0.042;16;85;0.9906;3.19;0.56;12.4;6 +6.2;0.34;0.3;11.1;0.047;28;237;0.9981;3.18;0.49;8.7;5 +6;0.27;0.15;1.5;0.056;35;128;0.9936;3.12;0.45;8.8;5 +6;0.16;0.3;6.7;0.043;43;153;0.9951;3.63;0.46;10.6;5 +6.8;0.32;0.34;6;0.05;5;129;0.9953;3.19;0.4;9.1;5 +8.5;0.24;0.47;15.2;0.057;40;234;1.0005;3.02;0.66;9;5 +8.1;0.24;0.33;10.2;0.048;46;141;0.9972;3.16;0.48;10.3;6 +7.4;0.18;0.36;13.1;0.056;72;163;1;3.42;0.35;9.1;6 +7.7;0.23;0.31;10.7;0.038;59;186;0.9969;3.12;0.55;9.5;6 +6.5;0.22;0.25;17.1;0.05;44;138;1.0001;3.3;0.37;8.8;5 +6.5;0.22;0.25;17.1;0.05;44;138;1.0001;3.3;0.37;8.8;5 +6.5;0.22;0.25;17.1;0.05;44;138;1.0001;3.3;0.37;8.8;5 +5.7;0.33;0.15;1.9;0.05;20;93;0.9934;3.38;0.62;9.9;5 +7.7;0.23;0.31;10.7;0.038;59;186;0.9969;3.12;0.55;9.5;6 +6.5;0.22;0.25;17.1;0.05;44;138;1.0001;3.3;0.37;8.8;5 +6.8;0.2;0.27;1.2;0.034;19;68;0.9902;3.14;0.37;11.7;4 +7.7;0.26;0.32;1.2;0.04;26;117;0.993;3.21;0.56;10.8;5 +6.4;0.2;0.32;3.1;0.041;18;126;0.9914;3.43;0.42;12;6 +8;0.16;0.36;1.5;0.033;14;122;0.9941;3.2;0.39;10.3;4 +6.8;0.25;0.27;10.7;0.076;47;154;0.9967;3.05;0.38;9;5 +7.7;0.39;0.28;4.9;0.035;36;109;0.9918;3.19;0.58;12.2;7 +6.9;0.26;0.33;12.6;0.051;59;173;0.998;3.39;0.38;9.9;5 +6.8;0.25;0.27;10.7;0.076;47;154;0.9967;3.05;0.38;9;5 +7.7;0.39;0.28;4.9;0.035;36;109;0.9918;3.19;0.58;12.2;7 +6;0.28;0.22;12.15;0.048;42;163;0.9957;3.2;0.46;10.1;5 +6.5;0.43;0.28;12;0.056;23;174;0.9986;3.31;0.55;9.3;5 +9.1;0.33;0.38;1.7;0.062;50.5;344;0.9958;3.1;0.7;9.5;5 +5.9;0.5;0.05;2.6;0.054;36;146;0.9948;3.43;0.5;9.2;6 +6.8;0.28;0.39;1.4;0.036;15;115;0.9918;3.27;0.72;11.7;5 +7;0.35;0.24;1.9;0.04;21;144;0.9923;3.35;0.38;11;5 +7.1;0.22;0.32;16.9;0.056;49;158;0.9998;3.37;0.38;9.6;6 +7.1;0.22;0.32;16.9;0.056;49;158;0.9998;3.37;0.38;9.6;6 +8.3;0.24;0.27;2.1;0.03;22;162;0.9914;2.99;0.68;11.9;6 +6.8;0.26;0.32;7;0.041;38;118;0.9939;3.25;0.52;10.8;6 +7.2;0.16;0.26;7.1;0.054;41;224;0.9966;3.38;0.55;10.1;5 +7.9;0.18;0.36;5.9;0.058;31;132;0.995;3.25;0.52;10.9;6 +7.2;0.16;0.26;7.1;0.054;41;224;0.9966;3.38;0.55;10.1;5 +5.5;0.24;0.32;8.7;0.06;19;102;0.994;3.27;0.31;10.4;5 +7.1;0.33;0.64;13.2;0.056;12;105;0.9972;3.05;0.39;9.2;5 +7.7;0.28;0.35;15.3;0.056;31;117;0.9998;3.27;0.5;9.6;5 +7.7;0.28;0.35;15.3;0.056;31;117;0.9998;3.27;0.5;9.6;5 +7.5;0.26;0.52;13.2;0.047;64;179;0.9982;3.1;0.46;9;5 +6.5;0.14;0.32;2.7;0.037;18;89;0.9924;3.4;0.74;11.5;7 +8.2;0.21;0.32;10.65;0.053;53;145;0.9972;3.17;0.48;10.2;6 +7.2;0.2;0.31;10;0.054;49;165;0.997;3.4;0.42;9.9;6 +7.2;0.115;0.3;6.8;0.056;26;105;0.9954;3.44;0.4;9.6;6 +6.4;0.29;0.2;15.6;0.04;20;142;0.9962;3.1;0.54;10.6;5 +7.1;0.33;0.64;13.2;0.056;12;105;0.9972;3.05;0.39;9.2;5 +6.8;0.24;0.34;5.1;0.038;31;99;0.9921;3.24;0.46;11.8;6 +7;0.24;0.34;3;0.035;36;102;0.9905;3.18;0.43;12.2;6 +7.7;0.28;0.35;15.3;0.056;31;117;0.9998;3.27;0.5;9.6;5 +7;0.22;0.33;2.1;0.052;15;76;0.993;3.2;0.41;10.6;6 +7.5;0.18;0.39;1.9;0.054;23;91;0.9941;3.27;0.45;10.3;6 +9.8;0.93;0.45;8.6;0.052;34;187;0.9994;3.12;0.59;10.2;4 +7.8;0.29;0.33;8.75;0.035;33;181;0.9962;3.11;0.46;10.7;5 +7.9;0.28;0.32;3.6;0.038;9;76;0.992;3.05;0.31;11.7;4 +8.5;0.25;0.27;4.7;0.031;31;92;0.9922;3.01;0.33;12;6 +7.4;0.18;0.27;1.3;0.048;26;105;0.994;3.52;0.66;10.6;6 +6.3;0.24;0.37;1.8;0.031;6;61;0.9897;3.3;0.34;12.2;4 +6;0.33;0.38;9.7;0.04;29;124;0.9954;3.47;0.48;11;6 +6.8;0.37;0.28;4;0.03;29;79;0.99;3.23;0.46;12.4;7 +9.9;0.49;0.23;2.4;0.087;19;115;0.9948;2.77;0.44;9.4;6 +8.5;0.25;0.27;4.7;0.031;31;92;0.9922;3.01;0.33;12;6 +8.4;0.22;0.28;18.8;0.028;55;130;0.998;2.96;0.35;11.6;5 +7;0.35;0.31;1.8;0.069;15;162;0.9944;3.18;0.47;9.4;5 +7;0.35;0.31;1.8;0.069;15;162;0.9944;3.18;0.47;9.4;5 +7.4;0.19;0.3;12.8;0.053;48.5;229;0.9986;3.14;0.49;9.1;7 +7.4;0.19;0.3;12.8;0.053;48.5;229;0.9986;3.14;0.49;9.1;7 +7.4;0.19;0.3;12.8;0.053;48.5;229;0.9986;3.14;0.49;9.1;7 +7.4;0.19;0.3;12.8;0.053;48.5;229;0.9986;3.14;0.49;9.1;7 +7.4;0.19;0.3;12.8;0.053;48.5;229;0.9986;3.14;0.49;9.1;7 +6.9;0.32;0.13;7.8;0.042;11;117;0.996;3.23;0.37;9.2;5 +7.6;0.32;0.58;16.75;0.05;43;163;0.9999;3.15;0.54;9.2;5 +7.4;0.19;0.3;12.8;0.053;48.5;229;0.9986;3.14;0.49;9.1;7 +7.4;0.19;0.3;12.8;0.053;48.5;212;0.9986;3.14;0.49;9.1;7 +6.9;0.32;0.13;7.8;0.042;11;117;0.996;3.23;0.37;9.2;5 +6;0.34;0.24;5.4;0.06;23;126;0.9951;3.25;0.44;9;7 +7.6;0.32;0.58;16.75;0.05;43;163;0.9999;3.15;0.54;9.2;5 +7.7;0.24;0.31;1.3;0.047;33;106;0.993;3.22;0.55;10.8;6 +8;0.36;0.43;10.1;0.053;29;146;0.9982;3.4;0.46;9.5;6 +7.4;0.29;0.25;3.8;0.044;30;114;0.992;3.11;0.4;11;6 +6.6;0.32;0.27;10.9;0.041;37;146;0.9963;3.24;0.47;10;5 +6.3;0.3;0.24;6.6;0.04;38;141;0.995;3.22;0.47;9.5;5 +6.4;0.33;0.24;9.8;0.041;29;109;0.9956;3.29;0.47;10.1;6 +7.5;0.18;0.31;11.7;0.051;24;94;0.997;3.19;0.44;9.5;7 +6.5;0.39;0.81;1.2;0.217;14;74;0.9936;3.08;0.53;9.5;5 +6.8;0.25;0.18;1.4;0.056;13;137;0.9935;3.11;0.42;9.5;5 +6.4;0.18;0.32;9.6;0.052;24;90;0.9963;3.35;0.49;9.4;6 +7.1;0.18;0.32;12.2;0.048;36;125;0.9967;2.92;0.54;9.4;6 +7.6;0.27;0.42;2.6;0.044;29;110;0.9912;3.31;0.51;12.7;6 +9.2;0.23;0.35;10.7;0.037;34;145;0.9981;3.09;0.32;9.7;5 +7.9;0.28;0.41;4.9;0.058;31;153;0.9966;3.27;0.51;9.7;6 +7.1;0.18;0.32;12.2;0.048;36;125;0.9967;2.92;0.54;9.4;6 +6.4;0.18;0.32;9.6;0.052;24;90;0.9963;3.35;0.49;9.4;6 +6.8;0.25;0.18;1.4;0.056;13;137;0.9935;3.11;0.42;9.5;5 +7;0.22;0.26;1.1;0.037;20;71;0.9902;3.1;0.38;11.7;6 +7.3;0.18;0.29;1;0.036;26;101;0.99;3.09;0.37;11.7;6 +7.1;0.26;0.19;8.2;0.051;53;187;0.996;3.16;0.52;9.7;5 +6.6;0.25;0.42;11.3;0.049;77;231;0.9966;3.24;0.52;9.5;6 +6.4;0.24;0.23;7.3;0.069;31;157;0.9962;3.25;0.53;9.1;5 +6;0.28;0.27;2.3;0.051;23;147;0.994;3.23;0.67;10.3;6 +7.1;0.26;0.19;8.2;0.051;53;187;0.996;3.16;0.52;9.7;5 +7.8;0.24;0.38;2.1;0.058;14;167;0.994;3.21;0.55;9.9;5 +7.6;0.27;0.33;2;0.059;19;175;0.9944;3.22;0.56;9.9;5 +7.7;0.39;0.34;10;0.056;35;178;0.9974;3.26;0.6;10.2;5 +8.9;0.24;0.33;15.75;0.035;16;132;0.996;3;0.37;12.1;6 +6.6;0.23;0.24;3.9;0.045;36;138;0.9922;3.15;0.64;11.3;7 +7.1;0.26;0.3;2;0.031;13;128;0.9917;3.19;0.49;11.4;5 +7;0.32;0.35;1.5;0.039;24;125;0.9918;3.17;0.64;12.2;6 +7.4;0.24;0.26;1.6;0.058;53;150;0.9936;3.18;0.5;9.9;7 +6.9;0.21;0.33;1.4;0.056;35;136;0.9938;3.63;0.78;10.3;6 +7;0.32;0.35;1.5;0.039;24;125;0.9918;3.17;0.64;12.2;6 +7.4;0.17;0.29;1.4;0.047;23;107;0.9939;3.52;0.65;10.4;6 +7.1;0.26;0.3;2;0.031;13;128;0.9917;3.19;0.49;11.4;5 +8.5;0.28;0.34;13.8;0.041;32;161;0.9981;3.13;0.4;9.9;6 +7.8;0.3;0.37;1.3;0.051;16;96;0.9941;3.32;0.62;10;5 +8.1;0.25;0.38;3.8;0.051;18;129;0.9928;3.21;0.38;11.5;6 +7.7;0.28;0.29;6.9;0.041;29;163;0.9952;3.44;0.6;10.5;6 +6.5;0.24;0.36;2.2;0.027;36;134;0.9898;3.28;0.36;12.5;7 +7;0.22;0.32;1.6;0.045;40;120;0.9914;2.98;0.44;10.5;6 +8.5;0.28;0.34;13.8;0.041;32;161;0.9981;3.13;0.4;9.9;6 +8;0.45;0.28;10.8;0.051;25;157;0.9957;3.06;0.47;11.4;7 +6.9;0.23;0.33;12.8;0.056;44;169;0.998;3.42;0.42;9.8;6 +8;0.45;0.28;10.8;0.051;25;157;0.9957;3.06;0.47;11.4;7 +7.6;0.23;0.26;15.3;0.067;32;166;0.9986;3.03;0.44;9.2;4 +7.7;0.28;0.58;12.1;0.046;60;177;0.9983;3.08;0.46;8.9;5 +7.7;0.27;0.61;12;0.046;64;179;0.9982;3.07;0.46;8.9;5 +7.1;0.2;0.36;11.6;0.042;45;124;0.997;2.92;0.59;9.5;7 +6.9;0.25;0.35;9.2;0.034;42;150;0.9947;3.21;0.36;11.5;6 +7.1;0.2;0.36;11.6;0.042;45;124;0.997;2.92;0.59;9.5;7 +6.9;0.25;0.35;9.2;0.034;42;150;0.9947;3.21;0.36;11.5;6 +8.4;0.2;0.31;2.8;0.054;16;89;0.99416;2.96;0.45;9.5;6 +6.5;0.39;0.35;1.6;0.049;10;164;0.99516;3.35;0.51;9.7;5 +7.2;0.23;0.38;6.1;0.067;20;90;0.99496;3.17;0.79;9.7;5 +6.9;0.44;0.42;8.5;0.048;10;147;0.9974;3.32;0.46;9.5;6 +7.1;0.28;0.19;7.8;0.04;48;184;0.99579;3.16;0.5;9.4;5 +6.4;0.34;0.2;14.9;0.06;37;162;0.9983;3.13;0.45;9;4 +6.1;0.15;0.29;6.2;0.046;39;151;0.99471;3.6;0.44;10.6;6 +6.9;0.44;0.42;8.5;0.048;10;147;0.9974;3.32;0.46;9.5;6 +7.2;0.29;0.18;8.2;0.042;41;180;0.99644;3.16;0.49;9.1;5 +7.1;0.28;0.19;7.8;0.04;48;184;0.99579;3.16;0.5;9.4;5 +6.1;0.23;0.45;10.6;0.094;49;169;0.99699;3.05;0.54;8.8;5 +6.7;0.23;0.42;11.2;0.047;52;171;0.99758;3.54;0.74;10.4;5 +7;0.36;0.14;11.6;0.043;35;228;0.9977;3.13;0.51;8.9;5 +7.5;0.31;0.24;7.1;0.031;28;141;0.99397;3.16;0.38;10.6;7 +6.4;0.34;0.2;14.9;0.06;37;162;0.9983;3.13;0.45;9;4 +6.1;0.15;0.29;6.2;0.046;39;151;0.99471;3.6;0.44;10.6;6 +7.4;0.2;0.29;1.7;0.047;16;100;0.99243;3.28;0.45;10.6;6 +6.3;0.27;0.18;7.7;0.048;45;186;0.9962;3.23;0.47;9;5 +9.2;0.34;0.54;17.3;0.06;46;235;1.00182;3.08;0.61;8.8;6 +7.4;0.18;0.29;1.4;0.042;34;101;0.99384;3.54;0.6;10.5;7 +7.2;0.29;0.2;7.7;0.046;51;174;0.99582;3.16;0.52;9.5;5 +6.3;0.27;0.18;7.7;0.048;45;186;0.9962;3.23;0.47;9;5 +6.2;0.26;0.19;3.4;0.049;47;172;0.9924;3.14;0.43;10.4;6 +7.3;0.21;0.21;1.6;0.046;35;133;0.99466;3.38;0.46;10;6 +7.1;0.14;0.35;1.4;0.039;24;128;0.99212;2.97;0.68;10.4;5 +7.2;0.39;0.54;1.4;0.157;34;132;0.99449;3.11;0.53;9;6 +7.6;0.48;0.28;10.4;0.049;57;205;0.99748;3.24;0.45;9.3;5 +7.2;0.39;0.54;1.4;0.157;34;132;0.99449;3.11;0.53;9;6 +7.6;0.48;0.28;10.4;0.049;57;205;0.99748;3.24;0.45;9.3;5 +6.5;0.36;0.31;4.1;0.061;20;134;0.99475;3.18;0.45;9;6 +8.5;0.25;0.31;2.8;0.032;11;61;0.99189;3.06;0.44;11.5;6 +6.9;0.3;0.21;15.7;0.056;49;159;0.99827;3.11;0.48;9;5 +6.6;0.19;0.43;10.9;0.045;53;154;0.99752;3.52;0.77;10.4;6 +6.9;0.3;0.21;15.7;0.056;49;159;0.99827;3.11;0.48;9;5 +9.4;0.42;0.32;6.5;0.027;20;167;0.99479;3.08;0.43;10.6;5 +6.6;0.19;0.43;10.9;0.045;53;154;0.99752;3.52;0.77;10.4;6 +6.3;0.2;0.3;5.9;0.034;35;152;0.99642;3.47;0.4;8.5;6 +8.5;0.19;0.56;17.3;0.055;47;169;1.00047;3.07;0.67;9.3;6 +7.3;0.19;0.25;1.4;0.051;41;107;0.99382;3.53;0.66;10.5;7 +6.7;0.25;0.26;13.5;0.06;50;156;0.99784;3.39;0.46;9.9;6 +6.2;0.25;0.28;8.5;0.035;28;108;0.99486;3.4;0.42;10.4;6 +6.1;0.46;0.32;6.2;0.053;10;94;0.99537;3.35;0.47;10.1;5 +7.3;0.19;0.25;1.4;0.051;41;107;0.99382;3.53;0.66;10.5;7 +7.5;0.29;0.26;14.95;0.067;47;178;0.99838;3.04;0.49;9.2;4 +6.7;0.31;0.18;7.7;0.043;57;200;0.99566;3.17;0.44;9.4;6 +7.4;0.14;0.3;1.3;0.033;25;91;0.99268;3.53;0.39;10.6;6 +6.7;0.31;0.18;7.7;0.043;57;200;0.99566;3.17;0.44;9.4;6 +7.1;0.4;0.52;1.3;0.148;45;149;0.99468;3.08;0.56;8.7;5 +6.4;0.16;0.25;1.3;0.047;20;77;0.9933;3.61;0.54;10.2;6 +6.3;0.16;0.22;1.3;0.046;18;66;0.99307;3.61;0.55;10.3;6 +7.4;0.33;0.26;15.6;0.049;67;210;0.99907;3.06;0.68;9.5;5 +7.4;0.33;0.26;15.6;0.049;67;210;0.99907;3.06;0.68;9.5;5 +7.4;0.33;0.26;15.6;0.049;67;210;0.99907;3.06;0.68;9.5;5 +7.4;0.33;0.26;15.6;0.049;67;210;0.99907;3.06;0.68;9.5;5 +6.6;0.41;0.24;4.9;0.158;47;144;0.99471;3.17;0.49;9.4;5 +6.7;0.43;0.23;5;0.157;49;145;0.99471;3.17;0.49;9.4;5 +7.4;0.33;0.26;15.6;0.049;67;210;0.99907;3.06;0.68;9.5;5 +7.3;0.4;0.28;6.5;0.037;26;97;0.99148;3.16;0.58;12.6;7 +7.4;0.18;0.24;1.4;0.047;21;106;0.99383;3.52;0.64;10.5;7 +8.6;0.17;0.28;2.7;0.047;38;150;0.99365;3.1;0.56;10.8;6 +6.5;0.32;0.23;1.2;0.054;39;208;0.99272;3.18;0.46;9.9;6 +7.3;0.4;0.28;6.5;0.037;26;97;0.99148;3.16;0.58;12.6;7 +7;0.32;0.31;6.4;0.031;38;115;0.99235;3.38;0.58;12.2;7 +7.5;0.42;0.19;6.9;0.041;62;150;0.99508;3.23;0.37;10;6 +6.9;0.28;0.31;7.2;0.04;47;168;0.9946;3.29;0.57;10.6;7 +6.5;0.29;0.42;10.6;0.042;66;202;0.99674;3.24;0.53;9.5;6 +6.3;0.41;0.18;3.5;0.027;23;109;0.99018;3.34;0.54;12.8;8 +7;0.32;0.31;6.4;0.031;38;115;0.99235;3.38;0.58;12.2;7 +7.3;0.3;0.33;2.3;0.043;28;125;0.99084;3.34;0.44;12.6;7 +6.6;0.22;0.28;12.05;0.058;25;125;0.99856;3.45;0.45;9.4;5 +6;0.26;0.18;7;0.055;50;194;0.99591;3.21;0.43;9;5 +6.9;0.44;0.18;11.8;0.051;26;126;0.9975;3.23;0.48;9.1;5 +7.5;0.42;0.2;1.4;0.06;15;168;0.9944;3.06;0.4;9.4;6 +7;0.36;0.3;5;0.04;40;143;0.99173;3.33;0.42;12.2;7 +5.6;0.295;0.2;2.2;0.049;18;134;0.99378;3.21;0.68;10;5 +6.8;0.21;0.55;14.6;0.053;34;159;0.99805;2.93;0.44;9.2;5 +9.4;0.28;0.3;1.6;0.045;36;139;0.99534;3.11;0.49;9.3;5 +8.1;0.28;0.34;1.3;0.035;11;126;0.99232;3.14;0.5;9.8;6 +6.8;0.21;0.55;14.6;0.053;34;159;0.99805;2.93;0.44;9.2;5 +7;0.22;0.26;2.8;0.036;44;132;0.99078;3.34;0.41;12;7 +9.4;0.28;0.3;1.6;0.045;36;139;0.99534;3.11;0.49;9.3;5 +6.8;0.32;0.3;3.3;0.029;15;80;0.99061;3.33;0.63;12.6;7 +7;0.19;0.33;6.3;0.032;42;127;0.99182;3.31;0.38;12.2;6 +7.7;0.42;0.38;8.1;0.061;49;144;0.9966;3.4;0.58;11;6 +7.4;0.2;0.31;1.6;0.038;34;116;0.9912;3.25;0.39;12;7 +7.5;0.24;0.62;10.6;0.045;51;153;0.99779;3.16;0.44;8.8;5 +7.5;0.26;0.59;11.8;0.046;58;164;0.99814;3.17;0.46;8.9;4 +6.6;0.4;0.32;1.7;0.035;39;84;0.99096;3.59;0.48;12.7;7 +8;0.2;0.3;8.1;0.037;42;130;0.99379;3.1;0.67;11.8;6 +4.6;0.445;0;1.4;0.053;11;178;0.99426;3.79;0.55;10.2;5 +6.1;0.41;0.04;1.3;0.036;23;121;0.99228;3.24;0.61;9.9;6 +7.6;0.2;0.34;1.8;0.041;42;148;0.99335;3.35;0.66;11.1;6 +6.9;0.3;0.21;7.2;0.045;54;190;0.99595;3.22;0.48;9.4;5 +7;0.35;0.17;1.1;0.049;7;119;0.99297;3.13;0.36;9.7;6 +6.9;0.35;0.55;11.95;0.038;22;111;0.99687;3.11;0.29;9.7;5 +7;0.35;0.17;1.1;0.049;7;119;0.99297;3.13;0.36;9.7;6 +6.9;0.35;0.55;11.95;0.038;22;111;0.99687;3.11;0.29;9.7;5 +7.6;0.3;0.4;2.2;0.054;29;175;0.99445;3.19;0.53;9.8;5 +7.5;0.38;0.29;12.7;0.05;25;209;0.9986;3.25;0.59;9.3;6 +7.5;0.3;0.32;1.4;0.032;31;161;0.99154;2.95;0.42;10.5;5 +6.3;0.4;0.32;10.6;0.049;38;209;0.9981;3.47;0.59;9.3;6 +6.8;0.37;0.28;1.9;0.024;64;106;0.98993;3.45;0.6;12.6;8 +7.5;0.23;0.35;17.8;0.058;128;212;1.00241;3.44;0.43;8.9;5 +8.3;0.27;0.34;10.2;0.048;50;118;0.99716;3.18;0.51;10.3;5 +6.8;0.26;0.22;4.8;0.041;110;198;0.99437;3.29;0.67;10.6;5 +6.5;0.28;0.35;9.8;0.067;61;180;0.9972;3.15;0.57;9;4 +7.2;0.34;0.3;8.4;0.051;40;167;0.99756;3.48;0.62;9.7;5 +7;0.23;0.26;7.2;0.041;21;90;0.99509;3.22;0.55;9.5;6 +7.7;0.29;0.29;4.8;0.06;27;156;0.99572;3.49;0.59;10.3;6 +7.2;0.34;0.3;8.4;0.051;40;167;0.99756;3.48;0.62;9.7;5 +7.7;0.4;0.27;4.5;0.034;27;95;0.99175;3.21;0.59;12.3;8 +6.7;0.17;0.27;1.4;0.032;39;149;0.99254;3.4;0.52;10.5;5 +7;0.23;0.26;7.2;0.041;21;90;0.99509;3.22;0.55;9.5;6 +8.1;0.24;0.26;11;0.043;41;211;0.99676;3.11;0.49;10;6 +7.7;0.28;0.63;11.1;0.039;58;179;0.9979;3.08;0.44;8.8;4 +7.5;0.23;0.29;2.6;0.031;24;98;0.99194;3;0.54;10.9;6 +8.3;0.26;0.31;2;0.029;14;141;0.99077;2.95;0.77;12.2;6 +7.9;0.46;0.4;10.1;0.168;19;184;0.99782;3.06;0.62;9.5;5 +7.9;0.31;0.22;13.3;0.048;46;212;0.99942;3.47;0.59;10;5 +7.9;0.25;0.34;11.4;0.04;53;202;0.99708;3.11;0.57;9.6;6 +6.1;0.28;0.16;1.3;0.06;36;126;0.99353;3.13;0.46;8.7;6 +7;0.18;0.26;1.4;0.044;46;89;0.99256;3.39;0.48;10.7;7 +6.5;0.21;0.28;1.4;0.046;26;66;0.99199;3.43;0.48;11.1;6 +7.6;0.48;0.33;7;0.024;14;130;0.9918;3.25;0.45;12.5;7 +7.1;0.34;0.32;2;0.051;29;130;0.99354;3.3;0.5;10.4;6 +8.9;0.21;0.37;1.2;0.028;20;93;0.99244;3.2;0.37;11.5;5 +7.4;0.32;0.27;12.9;0.04;60;221;0.99831;3.05;0.66;9.4;5 +6;0.495;0.27;5;0.157;17;129;0.99396;3.03;0.36;9.3;5 +8.1;0.25;0.34;10.1;0.05;30;121;0.99724;3.17;0.49;10.1;6 +8.2;0.25;0.46;3.75;0.05;14;102;0.99524;3.28;0.58;9.7;5 +6.5;0.18;0.29;1.7;0.035;39;144;0.9927;3.49;0.5;10.5;6 +6.7;0.24;0.26;12.6;0.053;44;182;0.99802;3.42;0.42;9.7;5 +6.6;0.32;0.24;1.3;0.06;42.5;204;0.99512;3.59;0.51;9.2;5 +7.6;0.32;0.35;1.6;0.092;24;138;0.99438;3.19;0.44;9.8;5 +7.4;0.33;0.44;7.6;0.05;40;227;0.99679;3.12;0.52;9;5 +7.2;0.3;0.3;8.1;0.05;40;188;0.99652;3.15;0.49;9.1;6 +7.4;0.34;0.3;14.9;0.037;70;169;0.99698;3.25;0.37;10.4;6 +6.1;0.16;0.29;6;0.03;29;144;0.99474;3.68;0.46;10.7;6 +6.3;0.1;0.24;6;0.039;25;107;0.99511;3.59;0.49;10.5;7 +6.2;0.45;0.73;7.2;0.099;47;202;0.99582;3.21;0.43;9.2;5 +6;0.33;0.18;3;0.036;5;85;0.99125;3.28;0.4;11.5;4 +7.6;0.48;0.37;1.2;0.034;5;57;0.99256;3.05;0.54;10.4;3 +7.2;0.2;0.3;2;0.039;43;188;0.9911;3.3;0.41;12;6 +7;0.32;0.29;4.9;0.036;41;150;0.99168;3.38;0.43;12.2;6 +7.2;0.2;0.3;2;0.039;43;188;0.9911;3.3;0.41;12;6 +7;0.22;0.29;8.9;0.05;24;90;0.99556;3.29;0.46;9.8;6 +9.4;0.23;0.56;16.45;0.063;52.5;282;1.00098;3.1;0.51;9.3;5 +6.4;0.27;0.19;2;0.084;21;191;0.99516;3.49;0.63;9.6;4 +6.4;0.27;0.19;1.9;0.085;21;196;0.99516;3.49;0.64;9.5;4 +7;0.23;0.42;5.1;0.042;37;144;0.99518;3.5;0.59;10.2;6 +6.9;0.15;0.28;4.4;0.029;14;107;0.99347;3.24;0.46;10.4;8 +6.7;0.26;0.29;5.8;0.025;26;74;0.9929;3.28;0.53;11;6 +6.9;0.15;0.28;4.4;0.029;14;107;0.99347;3.24;0.46;10.4;8 +7.6;0.2;0.68;12.9;0.042;56;160;0.99841;3.05;0.41;8.7;5 +6.9;0.3;0.29;1.3;0.053;24;189;0.99362;3.29;0.54;9.9;4 +6.9;0.3;0.3;1.3;0.053;24;186;0.99361;3.29;0.54;9.9;4 +7.6;0.21;0.35;1.2;0.041;7;106;0.9914;3.06;0.45;11.3;4 +6.8;0.46;0.26;2.7;0.042;28;83;0.99114;3.38;0.51;12;8 +7;0.28;0.26;1.7;0.042;34;130;0.9925;3.43;0.5;10.7;8 +6.5;0.24;0.29;8.2;0.043;32;156;0.99453;3.13;0.7;10.1;6 +6.4;0.17;0.34;1.5;0.091;42;135;0.9938;3.25;0.49;9.6;7 +6.4;0.17;0.34;1.5;0.093;43;136;0.9938;3.25;0.49;9.6;6 +6.3;0.695;0.55;12.9;0.056;58;252;0.99806;3.29;0.49;8.7;5 +7;0.27;0.29;3.9;0.059;28;199;0.9961;3.54;0.59;10.3;5 +8.4;0.3;0.25;17.75;0.047;25;218;1.00016;2.98;0.66;9.1;5 +6.5;0.19;0.27;4.9;0.037;13;101;0.9916;3.17;0.41;11.8;6 +8;0.36;0.39;1.6;0.024;26;93;0.99116;3.15;0.49;11.9;6 +6.1;0.16;0.24;1.4;0.046;17;77;0.99319;3.66;0.57;10.3;6 +9.2;0.19;0.42;2;0.047;16;104;0.99517;3.09;0.66;10;4 +9.2;0.16;0.49;2;0.044;18;107;0.99514;3.1;0.53;10.2;4 +8;0.26;0.28;8.2;0.038;72;202;0.99566;3.12;0.56;10;6 +8.8;0.33;0.36;2.1;0.034;19;125;0.99166;2.96;0.98;12.7;6 +9.8;0.16;0.46;1.8;0.046;23;130;0.99587;3.04;0.67;9.6;5 +6.6;0.23;0.18;8.5;0.044;59;188;0.99558;3.16;0.49;9.5;5 +7.9;0.44;0.26;4.45;0.033;23;100;0.99117;3.17;0.52;12.7;6 +7.6;0.31;0.27;5.8;0.036;23;109;0.99399;3.34;0.54;11;6 +7.5;0.705;0.1;13;0.044;44;214;0.99741;3.1;0.5;9.1;5 +7.1;0.21;0.28;2.7;0.034;23;111;0.99405;3.35;0.64;10.2;4 +7;0.16;0.26;7.3;0.047;30;220;0.99622;3.38;0.58;10.1;6 +8;0.27;0.25;19.1;0.045;50;208;1.00051;3.05;0.5;9.2;6 +6.3;0.38;0.17;8.8;0.08;50;212;0.99803;3.47;0.66;9.4;4 +7.1;0.21;0.28;2.7;0.034;23;111;0.99405;3.35;0.64;10.2;4 +6.2;0.38;0.18;7.4;0.095;28;195;0.99773;3.53;0.71;9.2;4 +8.2;0.24;0.3;2.3;0.05;23;106;0.99397;2.98;0.5;10;5 +7;0.16;0.26;6.85;0.047;30;220;0.99622;3.38;0.58;10.1;6 +7.3;0.815;0.09;11.4;0.044;45;204;0.99713;3.15;0.46;9;5 +6.3;0.41;0.16;0.9;0.032;25;98;0.99274;3.16;0.42;9.5;5 +6.1;0.36;0.41;19.35;0.07;67;207;1.00118;3.39;0.53;9.1;5 +8.1;0.4;0.32;7.9;0.031;23;118;0.99176;3.05;0.46;13.3;7 +6.8;0.26;0.43;11.75;0.045;53;198;0.9969;3.26;0.55;9.5;5 +6.2;0.44;0.18;7.7;0.096;28;210;0.99771;3.56;0.72;9.2;5 +7.2;0.24;0.29;3;0.036;17;117;0.99411;3.36;0.68;10.1;6 +6.2;0.44;0.18;7.7;0.096;28;210;0.99771;3.56;0.72;9.2;5 +7.2;0.24;0.29;3;0.036;17;117;0.99411;3.36;0.68;10.1;6 +7.3;0.22;0.26;1.5;0.04;32;172;0.99194;3.27;0.48;11.2;6 +8.1;0.34;0.28;7.5;0.04;70;230;0.99558;3.14;0.55;9.8;6 +7.3;0.22;0.26;1.5;0.04;32;172;0.99194;3.27;0.48;11.2;6 +8.1;0.34;0.28;7.5;0.04;70;230;0.99558;3.14;0.55;9.8;6 +6.4;0.28;0.17;8.3;0.042;61;195;0.99577;3.22;0.46;9.4;5 +6.3;0.29;0.14;7.05;0.045;50;177;0.99564;3.23;0.42;9;5 +6.4;0.27;0.17;8.4;0.044;60;198;0.99578;3.21;0.47;9.4;5 +7.4;0.35;0.2;13.9;0.054;63;229;0.99888;3.11;0.5;8.9;6 +8.3;0.28;0.27;17.5;0.045;48;253;1.00014;3.02;0.56;9.1;6 +6.4;0.35;0.35;5.6;0.034;9;148;0.99441;3.17;0.5;9.8;4 +6.9;0.43;0.28;9.4;0.056;29;183;0.99594;3.17;0.43;9.4;5 +8;0.26;0.28;4.8;0.05;34;150;0.99437;3.13;0.5;10;6 +6.9;0.43;0.28;9.4;0.056;29;183;0.99594;3.17;0.43;9.4;5 +7.3;0.27;0.37;9.7;0.042;36;130;0.9979;3.48;0.75;9.9;6 +6.8;0.46;0.26;6.3;0.147;49;159;0.99434;3.14;0.47;10;5 +7.2;0.2;0.28;1.6;0.028;13;168;0.99203;3.17;1.06;11.5;6 +7.6;0.285;0.32;14.6;0.063;32;201;0.998;3;0.45;9.2;5 +6.6;0.32;0.33;2.5;0.052;40;219.5;0.99316;3.15;0.6;10;5 +7.6;0.285;0.32;14.6;0.063;32;201;0.998;3;0.45;9.2;5 +6.6;0.34;0.34;2.6;0.051;40.5;210;0.99314;3.15;0.61;10;5 +6.6;0.32;0.33;2.5;0.052;40;210;0.99316;3.15;0.6;10;5 +6.5;0.27;0.26;8.2;0.042;21;133;0.99612;3.43;0.64;9.8;6 +6.6;0.26;0.27;1.5;0.04;19;114;0.99295;3.36;0.62;10.5;6 +6.7;0.27;0.26;2.3;0.043;61;181;0.99394;3.45;0.63;10.6;6 +6.6;0.56;0.15;10;0.037;38;157;0.99642;3.28;0.52;9.4;5 +6.6;0.56;0.15;10;0.037;38;157;0.99642;3.28;0.52;9.4;5 +7.3;0.19;0.27;1.6;0.027;35;136;0.99248;3.38;0.54;11;7 +6.3;0.2;0.26;1.6;0.027;36;141;0.99268;3.53;0.56;10.8;6 +7.1;0.29;0.3;16;0.036;58;201;0.99954;3.3;0.67;9;5 +7.8;0.32;0.33;10.4;0.031;47;194;0.99692;3.07;0.58;9.6;6 +8.1;0.33;0.36;7.4;0.037;36;156;0.99592;3.19;0.54;10.6;6 +8.1;0.33;0.36;7.4;0.037;36;156;0.99592;3.19;0.54;10.6;6 +7.8;0.32;0.33;10.4;0.031;47;194;0.99692;3.07;0.58;9.6;6 +6.6;0.33;0.24;16.05;0.045;31;147;0.99822;3.08;0.52;9.2;5 +6.6;0.33;0.24;16.05;0.045;31;147;0.99822;3.08;0.52;9.2;5 +8.2;0.26;0.33;2.6;0.053;11;71;0.99402;2.89;0.49;9.5;5 +8.3;0.25;0.33;2.5;0.053;12;72;0.99404;2.89;0.48;9.5;5 +7;0.26;0.26;10.8;0.039;37;184;0.99787;3.47;0.58;10.3;7 +6;0.26;0.15;1.2;0.053;35;124;0.99347;3.08;0.46;8.8;5 +7.5;0.28;0.78;12.1;0.041;53;161;0.99838;2.98;0.44;8.7;5 +7.5;0.27;0.79;11.95;0.04;51;159;0.99839;2.98;0.44;8.7;5 +7;0.28;0.32;1.7;0.038;27;128;0.99375;3.2;0.62;10.2;6 +5.2;0.16;0.34;0.8;0.029;26;77;0.99155;3.25;0.51;10.1;6 +6.8;0.34;0.1;1.4;0.049;29;118;0.9936;3.21;0.41;9.5;5 +7.6;0.25;0.34;1.3;0.056;34;176;0.99434;3.1;0.51;9.5;5 +5.6;0.35;0.4;6.3;0.022;23;174;0.9922;3.54;0.5;11.6;7 +8.8;0.24;0.23;10.3;0.032;12;97;0.99571;3.13;0.4;10.7;6 +6;0.29;0.21;15.55;0.043;20;142;0.99658;3.11;0.54;10.1;6 +6.1;0.27;0.31;1.5;0.035;17;83;0.99076;3.32;0.44;11.1;7 +7.4;0.56;0.09;1.5;0.071;19;117;0.99496;3.22;0.53;9.8;5 +6.8;0.29;0.49;1.4;0.142;52;148;0.9937;3.08;0.49;9;6 +6.1;0.27;0.31;1.5;0.035;17;83;0.99076;3.32;0.44;11.1;7 +6.3;0.27;0.37;7.9;0.047;58;215;0.99542;3.19;0.48;9.5;6 +6.6;0.24;0.3;13;0.052;18;143;0.99825;3.37;0.49;9.4;6 +6.8;0.32;0.3;1;0.049;22;113;0.99289;3.24;0.61;10.2;5 +6.4;0.37;0.37;4.85;0.041;39.5;216.5;0.99432;3.1;0.5;9.8;6 +6.2;0.26;0.37;7.1;0.047;54;201;0.99523;3.19;0.48;9.5;6 +6.3;0.27;0.37;7.9;0.047;58;215;0.99542;3.19;0.48;9.5;6 +6.4;0.3;0.16;7.5;0.05;55;191;0.9959;3.17;0.49;9;5 +8;0.28;0.32;7.6;0.045;61;204;0.99543;3.1;0.55;10.1;6 +6.7;0.24;0.32;10.3;0.079;37;122;0.99662;3.02;0.45;8.8;5 +7.9;0.27;0.27;1.7;0.034;25;122;0.99088;2.97;0.51;11.9;6 +7.9;0.27;0.27;1.7;0.034;25;122;0.99088;2.97;0.51;11.9;6 +6.1;0.28;0.24;19.95;0.074;32;174;0.99922;3.19;0.44;9.3;6 +7.7;0.39;0.49;7.7;0.036;11;110;0.9966;3.33;0.76;10;6 +6;0.2;0.24;5.3;0.075;49;201;0.99466;3.21;0.43;9.5;5 +6.1;0.28;0.24;19.95;0.074;32;174;0.99922;3.19;0.44;9.3;6 +7.6;0.31;0.23;12.7;0.054;20;139;0.99836;3.16;0.5;9.7;4 +7.6;0.31;0.23;12.7;0.054;20;139;0.99836;3.16;0.5;9.7;4 +6.3;0.18;0.22;1.5;0.043;45;155;0.99238;3.19;0.48;10.2;5 +8.6;0.23;0.25;11.3;0.031;13;96;0.99645;3.11;0.4;10.8;5 +6.8;0.21;0.36;18.1;0.046;32;133;1;3.27;0.48;8.8;5 +6.8;0.21;0.36;18.1;0.046;32;133;1;3.27;0.48;8.8;5 +6.9;0.26;0.31;7;0.039;37;175;0.99376;3.32;0.49;11.4;6 +6.8;0.21;0.36;18.1;0.046;32;133;1;3.27;0.48;8.8;5 +6.4;0.31;0.4;6.4;0.039;39;191;0.99513;3.14;0.52;9.8;5 +8.6;0.34;0.36;1.4;0.045;11;119;0.99556;3.17;0.47;9.4;4 +8.6;0.34;0.36;1.4;0.045;11;119;0.99556;3.17;0.47;9.4;4 +8.5;0.3;0.28;3.1;0.054;54;174;0.99543;3.21;0.43;9.4;6 +7.4;0.4;0.41;14.1;0.053;37;194;0.99886;3.2;0.63;9.4;6 +6.6;0.32;0.34;7.7;0.044;63;212;0.99526;3.22;0.48;9.7;6 +7.1;0.34;0.31;5.2;0.032;36;140;0.99166;3.35;0.47;12.3;7 +6.6;0.26;0.25;11.6;0.045;45;178;0.99691;3.33;0.43;9.8;6 +8;0.27;0.57;10.4;0.053;18;134;0.99732;3.12;0.68;9;5 +6.2;0.28;0.45;7.5;0.045;46;203;0.99573;3.26;0.46;9.2;6 +6.2;0.3;0.49;11.2;0.058;68;215;0.99656;3.19;0.6;9.4;6 +5.6;0.175;0.29;0.8;0.043;20;67;0.99112;3.28;0.48;9.9;6 +6.9;0.34;0.36;1.4;0.032;13;145;0.99214;3.07;0.52;9.8;5 +6.9;0.34;0.3;4.7;0.029;34;148;0.99165;3.36;0.49;12.3;7 +7.1;0.12;0.3;3.1;0.018;15;37;0.99004;3.02;0.52;11.9;7 +7.1;0.32;0.29;4;0.038;33;170;0.99463;3.27;0.64;10.2;6 +7.3;0.51;0.29;11.3;0.034;61;224;0.99683;3.14;0.56;9.5;6 +7.1;0.12;0.3;3.1;0.018;15;37;0.99004;3.02;0.52;11.9;7 +6.3;0.24;0.55;8.1;0.04;67;216;0.99596;3.24;0.5;9.2;5 +7.5;0.41;0.23;14.8;0.054;28;174;0.99898;3.18;0.49;9.7;5 +6.5;0.18;0.33;1.4;0.029;35;138;0.99114;3.36;0.6;11.5;7 +7.3;0.17;0.24;8.1;0.121;32;162;0.99508;3.17;0.38;10.4;8 +8.2;0.2;0.38;3.5;0.053;41;174;0.99306;3.22;0.41;11.6;5 +7.5;0.41;0.23;14.8;0.054;28;174;0.99898;3.18;0.49;9.7;5 +7.3;0.17;0.24;8.1;0.121;32;162;0.99508;3.17;0.38;10.4;8 +6.5;0.18;0.33;1.4;0.029;35;138;0.99114;3.36;0.6;11.5;7 +7.3;0.16;0.35;1.5;0.036;29;108;0.99342;3.27;0.51;10.2;6 +6.4;0.16;0.37;1.5;0.037;27;109;0.99345;3.38;0.5;9.8;6 +6.6;0.42;0.13;12.8;0.044;26;158;0.99772;3.24;0.47;9;5 +5.8;0.3;0.12;1.6;0.036;57;163;0.99239;3.38;0.59;10.5;6 +6.7;0.54;0.27;7.1;0.049;8;178;0.99502;3.16;0.38;9.4;4 +6.7;0.54;0.27;7.1;0.049;8;178;0.99502;3.16;0.38;9.4;4 +6.4;0.22;0.3;11.2;0.046;53;149;0.99479;3.21;0.34;10.8;5 +6.8;0.23;0.3;1.7;0.043;19;95;0.99207;3.17;0.46;10.7;7 +9;0.26;0.34;6.7;0.029;21;162;0.99497;3.08;0.5;10.6;6 +6.5;0.23;0.25;17.3;0.046;15;110;0.99828;3.15;0.42;9.2;6 +5.9;0.28;0.14;8.6;0.032;30;142;0.99542;3.28;0.44;9.5;6 +5.9;0.28;0.14;8.6;0.032;30;142;0.99542;3.28;0.44;9.5;6 +6.2;0.27;0.18;1.5;0.028;20;111;0.99228;3.41;0.5;10;5 +9;0.29;0.34;12.1;0.03;34;177;0.99706;3.13;0.47;10.6;5 +9;0.26;0.34;6.7;0.029;21;162;0.99497;3.08;0.5;10.6;6 +8.9;0.27;0.34;10.7;0.029;19.5;166;0.99669;3.13;0.48;10.6;5 +6.5;0.23;0.25;17.3;0.046;15;110;0.99828;3.15;0.42;9.2;6 +6.9;0.32;0.3;1.8;0.036;28;117;0.99269;3.24;0.48;11;6 +7.2;0.22;0.24;1.4;0.041;17;159;0.99196;3.25;0.53;11.2;6 +6.7;0.5;0.38;7.5;0.046;26;175;0.99662;3.32;0.54;9.6;5 +6.2;0.33;0.14;4.8;0.052;27;128;0.99475;3.21;0.48;9.4;5 +6.3;0.26;0.42;7.1;0.045;62;209;0.99544;3.2;0.53;9.5;6 +7.5;0.2;0.47;16.9;0.052;51;188;0.99944;3.09;0.62;9.3;5 +6.2;0.33;0.14;4.8;0.052;27;128;0.99475;3.21;0.48;9.4;5 +6.3;0.26;0.42;7.1;0.045;62;209;0.99544;3.2;0.53;9.5;6 +6.6;0.36;0.52;11.3;0.046;8;110;0.9966;3.07;0.46;9.4;5 +6.3;0.13;0.42;1.1;0.043;63;146;0.99066;3.13;0.72;11.2;7 +6.4;0.15;0.44;1.2;0.043;67;150;0.9907;3.14;0.73;11.2;7 +6.3;0.13;0.42;1.1;0.043;63;146;0.99066;3.13;0.72;11.2;7 +7.6;0.23;0.64;12.9;0.033;54;170;0.998;3;0.53;8.8;5 +6.4;0.15;0.44;1.2;0.043;67;150;0.9907;3.14;0.73;11.2;7 +6.3;0.13;0.42;1.1;0.043;63;146;0.99066;3.13;0.72;11.2;7 +5.7;0.255;0.65;1.2;0.079;17;137;0.99307;3.2;0.42;9.4;5 +6.9;0.32;0.26;2.3;0.03;11;103;0.99106;3.06;0.42;11.1;6 +6.9;0.28;0.22;10;0.052;36;131;0.99696;3.08;0.46;9.6;5 +6.9;0.32;0.26;2.3;0.03;11;103;0.99106;3.06;0.42;11.1;6 +5.7;0.255;0.65;1.2;0.079;17;137;0.99307;3.2;0.42;9.4;5 +6.6;0.41;0.16;1.4;0.037;28;160;0.99167;2.95;0.45;10.6;6 +7.3;0.37;0.16;14.9;0.048;59;240;0.99902;3.13;0.45;8.9;5 +6.9;0.21;0.24;1.8;0.021;17;80;0.98992;3.15;0.46;12.3;7 +6.6;0.24;0.28;1.8;0.028;39;132;0.99182;3.34;0.46;11.4;5 +6.8;0.28;0.36;7;0.043;60;207;0.99556;3.16;0.49;9.6;6 +6.6;0.24;0.24;8.6;0.034;25;135;0.99582;3.33;0.59;10.3;6 +6.6;0.24;0.28;1.8;0.028;39;132;0.99182;3.34;0.46;11.4;5 +7;0.16;0.32;1.1;0.032;29;80;0.98972;3.23;0.36;12.1;6 +7;0.14;0.28;1.3;0.026;10;56;0.99352;3.46;0.45;9.9;5 +6.3;0.34;0.36;4.9;0.035;31;185;0.9946;3.15;0.49;9.7;5 +6.8;0.26;0.24;1.9;0.043;70;154;0.99273;3.18;0.52;10.5;5 +6.7;0.17;0.42;10.4;0.038;85;182;0.99628;3.04;0.44;8.9;6 +6.5;0.27;0.4;10;0.039;74;227;0.99582;3.18;0.5;9.4;5 +6.7;0.25;0.36;8.6;0.037;63;206;0.99553;3.18;0.5;9.6;5 +5.8;0.3;0.27;1.7;0.014;45;104;0.98914;3.4;0.56;12.6;7 +6.4;0.28;0.56;1.7;0.156;49;106;0.99354;3.1;0.37;9.2;6 +7.7;0.3;0.26;18.95;0.053;36;174;0.99976;3.2;0.5;10.4;5 +6.8;0.18;0.3;12.8;0.062;19;171;0.99808;3;0.52;9;7 +6.8;0.18;0.3;12.8;0.062;19;171;0.99808;3;0.52;9;7 +6.8;0.18;0.3;12.8;0.062;19;171;0.99808;3;0.52;9;7 +6.8;0.18;0.3;12.8;0.062;19;171;0.99808;3;0.52;9;7 +6.8;0.18;0.3;12.8;0.062;19;171;0.99808;3;0.52;9;7 +6.8;0.18;0.3;12.8;0.062;19;171;0.99808;3;0.52;9;7 +5.1;0.14;0.25;0.7;0.039;15;89;0.9919;3.22;0.43;9.2;6 +6.8;0.18;0.3;12.8;0.062;19;171;0.99808;3;0.52;9;7 +7.2;0.615;0.1;1.4;0.068;25;154;0.99499;3.2;0.48;9.7;4 +6.9;0.13;0.28;13.3;0.05;47;132;0.99655;3.34;0.42;10.1;6 +6.7;0.34;0.3;8.5;0.059;24;152;0.99615;3.46;0.64;11;7 +7.3;0.32;0.29;1.5;0.038;32;144;0.99296;3.2;0.55;10.8;5 +6.3;0.21;0.29;11.7;0.048;49;147;0.99482;3.22;0.38;10.8;5 +5.4;0.5;0.13;5;0.028;12;107;0.99079;3.48;0.88;13.5;7 +8.2;0.52;0.34;1.2;0.042;18;167;0.99366;3.24;0.39;10.6;5 +7.8;0.28;0.31;2.1;0.046;28;208;0.99434;3.23;0.64;9.8;5 +6.4;0.22;0.34;1.4;0.023;56;115;0.98958;3.18;0.7;11.7;6 +7.8;0.28;0.31;2.1;0.046;28;208;0.99434;3.23;0.64;9.8;5 +6.9;0.32;0.27;16;0.034;58;185;0.99938;3.34;0.6;9;6 +6.8;0.11;0.42;1.1;0.042;51;132;0.99059;3.18;0.74;11.3;7 +6.2;0.26;0.32;15.3;0.031;64;185;0.99835;3.31;0.61;9.4;5 +6.4;0.22;0.34;1.4;0.023;56;115;0.98958;3.18;0.7;11.7;6 +6.7;0.3;0.29;2.8;0.025;37;107;0.99159;3.31;0.63;11.3;7 +6.7;0.3;0.29;2.8;0.025;37;107;0.99159;3.31;0.63;11.3;7 +7.1;0.2;0.3;0.9;0.019;4;28;0.98931;3.2;0.36;12;6 +7.2;0.2;0.36;2.5;0.028;22;157;0.9938;3.48;0.49;10.6;6 +8.9;0.26;0.33;8.1;0.024;47;202;0.99558;3.13;0.46;10.8;6 +7.5;0.25;0.32;8.2;0.024;53;209;0.99563;3.12;0.46;10.8;6 +7.1;0.2;0.3;0.9;0.019;4;28;0.98931;3.2;0.36;12;6 +6.3;0.27;0.46;11.1;0.053;44;177;0.99691;3.18;0.67;9.4;5 +6.5;0.3;0.39;7.8;0.038;61;219;0.9959;3.19;0.5;9.4;5 +6.7;0.3;0.29;2.8;0.025;37;107;0.99159;3.31;0.63;11.3;7 +6.6;0.36;0.52;10.1;0.05;29;140;0.99628;3.07;0.4;9.4;5 +6.15;0.21;0.37;3.2;0.021;20;80;0.99076;3.39;0.47;12;5 +6.5;0.18;0.41;14.2;0.039;47;129;0.99678;3.28;0.72;10.3;7 +6.5;0.18;0.41;14.2;0.039;47;129;0.99678;3.28;0.72;10.3;7 +6.5;0.18;0.41;14.2;0.039;47;129;0.99678;3.28;0.72;10.3;7 +6.6;0.26;0.21;2.9;0.026;48;126;0.99089;3.22;0.38;11.3;7 +6.6;0.35;0.35;6;0.063;31;150;0.99537;3.1;0.47;9.4;6 +6.5;0.28;0.28;20.4;0.041;40;144;1.0002;3.14;0.38;8.7;5 +6.6;0.36;0.52;10.1;0.05;29;140;0.99628;3.07;0.4;9.4;5 +6.6;0.26;0.21;2.9;0.026;48;126;0.99089;3.22;0.38;11.3;7 +6.5;0.18;0.41;14.2;0.039;47;129;0.99678;3.28;0.72;10.3;7 +6.15;0.21;0.37;3.2;0.021;20;80;0.99076;3.39;0.47;12;5 +4.5;0.19;0.21;0.95;0.033;89;159;0.99332;3.34;0.42;8;5 +8;0.24;0.26;1.7;0.033;36;136;0.99316;3.44;0.51;10.4;7 +7.8;0.17;0.23;1.7;0.029;39;128;0.99272;3.37;0.41;10.7;7 +7;0.24;0.24;9;0.03;42;219;0.99636;3.47;0.46;10.2;6 +5.8;0.6;0;1.3;0.044;72;197;0.99202;3.56;0.43;10.9;5 +5.9;0.445;0.26;1.4;0.027;23;109;0.99148;3.3;0.36;10.5;6 +6.7;0.28;0.28;2.4;0.012;36;100;0.99064;3.26;0.39;11.7;7 +6.8;0.44;0.2;16;0.065;61;186;0.99884;3.13;0.45;8.6;5 +7.2;0.24;0.27;11.4;0.034;40;174;0.99773;3.2;0.44;9;5 +8.7;0.31;0.73;14.35;0.044;27;191;1.00013;2.96;0.88;8.7;5 +8.2;0.32;0.26;2.1;0.062;26;87;0.98974;3.1;0.47;12.8;6 +7.2;0.24;0.27;11.4;0.034;40;174;0.99773;3.2;0.44;9;5 +8.7;0.31;0.73;14.35;0.044;27;191;1.00013;2.96;0.88;8.7;5 +7.5;0.13;0.38;1.1;0.023;42;104;0.99112;3.28;0.53;11.8;6 +9.2;0.14;0.37;1.1;0.034;36;84;0.99136;3.05;0.55;11.6;6 +7.4;0.2;0.37;1.2;0.028;28;89;0.99132;3.14;0.61;11.8;6 +6.1;0.15;0.35;15.8;0.042;55;158;0.99642;3.24;0.37;10.6;5 +7.6;0.23;0.4;5.2;0.066;14;91;0.99488;3.17;0.8;9.7;5 +8.1;0.33;0.22;5.2;0.047;24;151;0.99527;3.22;0.47;10.3;5 +7.15;0.17;0.24;9.6;0.119;56;178;0.99578;3.15;0.44;10.2;6 +6.7;0.12;0.3;5.2;0.048;38;113;0.99352;3.33;0.44;10.1;7 +5.7;0.18;0.36;1.2;0.046;9;71;0.99199;3.7;0.68;10.9;7 +5.8;0.15;0.28;0.8;0.037;43;127;0.99198;3.24;0.51;9.3;5 +6.6;0.23;0.29;14.45;0.057;29;144;0.99756;3.33;0.54;10.2;6 +7.15;0.17;0.24;9.6;0.119;56;178;0.99578;3.15;0.44;10.2;6 +7;0.34;0.39;6.9;0.066;43;162;0.99561;3.11;0.53;9.5;5 +6.4;0.68;0.26;3.4;0.069;25;146;0.99347;3.18;0.4;9.3;5 +7.3;0.22;0.31;2.3;0.018;45;80;0.98936;3.06;0.34;12.9;7 +6.4;0.28;0.27;11;0.042;45;148;0.99786;3.14;0.46;8.7;5 +6.9;0.4;0.22;5.95;0.081;76;303;0.99705;3.4;0.57;9.4;5 +6.8;0.19;0.23;5.1;0.034;71;204;0.9942;3.23;0.69;10.1;5 +7.1;0.23;0.24;5.4;0.039;60;196;0.9948;3.19;0.78;10;4 +6.45;0.14;0.42;1.2;0.05;51;129;0.99116;3.27;0.69;11.1;7 +6.5;0.15;0.44;12.6;0.052;65;158;0.99688;3.26;0.7;10.3;7 +7.1;0.15;0.34;1;0.033;27;73;0.98974;3.24;0.41;12.2;6 +6.7;0.33;0.34;6.6;0.067;35;156;0.99542;3.11;0.48;9.3;6 +7.2;0.3;0.26;1.5;0.041;46;178;0.99154;3.19;0.56;11.3;6 +7;0.23;0.33;1;0.043;46;110;0.99118;3.04;0.65;10.8;6 +8;0.13;0.25;1.1;0.033;15;86;0.99044;2.98;0.39;11.2;8 +6.2;0.21;0.34;6.6;0.03;36;91;0.9914;3.32;0.45;12.5;7 +8.3;0.4;0.41;8.2;0.05;15;122;0.9979;3.39;0.49;9.3;5 +5.9;0.34;0.31;2;0.03;38;142;0.98892;3.4;0.41;12.9;7 +6.6;0.12;0.25;1.4;0.039;21;131;0.99114;3.2;0.45;11.2;7 +9.6;0.655;0.21;2;0.039;21;120;0.99188;3;1;12.6;6 +6.8;0.26;0.4;7.5;0.046;45;179;0.99583;3.2;0.49;9.3;5 +5.9;0.34;0.31;2;0.03;38;142;0.98892;3.4;0.41;12.9;7 +5.9;0.3;0.3;2;0.03;38;142;0.98892;3.41;0.41;12.9;7 +7;0.15;0.3;13.3;0.049;46;120;0.99704;3.2;0.36;9.5;7 +7.9;0.37;0.31;2.85;0.037;5;24;0.9911;3.19;0.36;11.9;6 +7.2;0.35;0.25;5.6;0.032;23;120;0.99334;2.93;0.66;10.3;7 +7.2;0.32;0.24;5.6;0.033;23;120;0.99334;2.92;0.66;10.3;7 +7.6;0.1;0.33;1;0.031;33;93;0.99094;3.06;0.68;11.2;6 +6.2;0.25;0.31;3.2;0.03;32;150;0.99014;3.18;0.31;12;6 +7.1;0.31;0.17;1;0.042;21;144;0.99304;3.13;0.4;9.6;5 +7.6;0.18;0.28;7.1;0.041;29;110;0.99652;3.2;0.42;9.2;6 +8;0.17;0.29;2.4;0.029;52;119;0.98944;3.03;0.33;12.9;6 +7.2;0.19;0.27;11.2;0.061;46;149;0.99772;2.99;0.59;9.3;6 +7.6;0.32;0.25;9.5;0.03;15;136;0.99367;3.1;0.44;12.1;6 +7.1;0.31;0.17;1;0.042;21;144;0.99304;3.13;0.4;9.6;5 +6.6;0.21;0.29;1.8;0.026;35;128;0.99183;3.37;0.48;11.2;6 +7;0.16;0.36;2.6;0.029;28;98;0.99126;3.11;0.37;11.2;7 +8;0.17;0.29;2.4;0.029;52;119;0.98944;3.03;0.33;12.9;6 +6.6;0.24;0.38;8;0.042;56;187;0.99577;3.21;0.46;9.2;5 +7.2;0.19;0.27;11.2;0.061;46;149;0.99772;2.99;0.59;9.3;6 +7.6;0.18;0.28;7.1;0.041;29;110;0.99652;3.2;0.42;9.2;6 +6.9;0.3;0.25;3.3;0.041;26;124;0.99428;3.18;0.5;9.3;6 +6.2;0.28;0.27;10.3;0.03;26;108;0.99388;3.2;0.36;10.7;6 +6.9;0.31;0.32;1.2;0.024;20;166;0.99208;3.05;0.54;9.8;6 +6.7;0.23;0.25;1.6;0.036;28;143;0.99256;3.3;0.54;10.3;6 +6.2;0.28;0.27;10.3;0.03;26;108;0.99388;3.2;0.36;10.7;6 +5.7;0.23;0.28;9.65;0.025;26;121;0.9925;3.28;0.38;11.3;6 +6.5;0.22;0.5;16.4;0.048;36;182;0.99904;3.02;0.49;8.8;6 +7;0.18;0.37;1.5;0.043;16;104;0.99216;3.18;0.5;10.8;5 +6.9;0.31;0.32;1.2;0.024;20;166;0.99208;3.05;0.54;9.8;6 +6.9;0.3;0.25;3.3;0.041;26;124;0.99428;3.18;0.5;9.3;6 +6.5;0.46;0.31;5;0.027;15;72;0.99165;3.26;0.6;11.5;7 +6.5;0.23;0.36;16.3;0.038;43;133;0.99924;3.26;0.41;8.8;5 +6.5;0.23;0.36;16.3;0.038;43;133;0.99924;3.26;0.41;8.8;5 +6.5;0.23;0.36;16.3;0.038;43;133;0.99924;3.26;0.41;8.8;5 +6.6;0.26;0.38;6.5;0.17;68;201;0.9956;3.19;0.38;9.4;6 +6.7;0.26;0.39;6.4;0.171;64;200;0.99562;3.19;0.38;9.4;6 +7.5;0.28;0.39;10.2;0.045;59;209;0.9972;3.16;0.63;9.6;6 +6.5;0.23;0.36;16.3;0.038;43;133;0.99924;3.26;0.41;8.8;5 +6.8;0.23;0.42;7.4;0.044;56;189;0.9958;3.22;0.48;9.3;6 +7.8;0.25;0.34;13.7;0.044;66;184;0.99976;3.22;0.75;8.9;5 +7.8;0.25;0.34;13.7;0.044;66;184;0.99976;3.22;0.75;8.9;5 +5.6;0.2;0.22;1.3;0.049;25;155;0.99296;3.74;0.43;10;5 +6.4;0.21;0.44;7.4;0.045;47;182;0.9957;3.24;0.46;9.1;5 +6.8;0.23;0.42;7.4;0.044;56;189;0.9958;3.22;0.48;9.3;6 +6.8;0.24;0.37;7.45;0.043;59;188;0.99579;3.2;0.5;9.4;6 +7.8;0.25;0.28;7.2;0.04;46;179;0.99541;3.14;0.6;10.1;6 +7.8;0.25;0.34;13.7;0.044;66;184;0.99976;3.22;0.75;8.9;5 +6.8;0.16;0.29;10.4;0.046;59;143;0.99518;3.2;0.4;10.8;6 +5.2;0.28;0.29;1.1;0.028;18;69;0.99168;3.24;0.54;10;6 +7.5;0.18;0.31;6.5;0.029;53;160;0.99276;3.03;0.38;10.9;6 +7.5;0.26;0.3;4.6;0.027;29;92;0.99085;3.15;0.38;12;7 +8.2;0.37;0.64;13.9;0.043;22;171;0.99873;2.99;0.8;9.3;5 +7.6;0.4;0.27;5.2;0.03;32;101;0.99172;3.22;0.62;12.3;7 +7.5;0.26;0.25;1.7;0.038;29;129;0.99312;3.45;0.56;10.4;6 +7.5;0.18;0.31;6.5;0.029;53;160;0.99276;3.03;0.38;10.9;6 +6.9;0.23;0.32;16.4;0.045;62;153;0.9972;3.22;0.42;10.5;5 +5.3;0.2;0.31;3.6;0.036;22;91;0.99278;3.41;0.5;9.8;6 +6.5;0.17;0.31;1.5;0.041;34;121;0.99092;3.06;0.46;10.5;6 +6.5;0.35;0.28;12.4;0.051;86;213;0.9962;3.16;0.51;9.9;6 +6.5;0.29;0.31;1.7;0.035;24;79;0.99053;3.27;0.69;11.4;7 +6.8;0.3;0.22;6.2;0.06;41;190;0.99858;3.18;0.51;9.2;5 +7.9;0.51;0.36;6.2;0.051;30;173;0.9984;3.09;0.53;9.7;5 +7.9;0.51;0.34;2.6;0.049;13;135;0.99335;3.09;0.51;10;5 +6.5;0.29;0.31;1.7;0.035;24;79;0.99053;3.27;0.69;11.4;7 +7.1;0.29;0.28;9.3;0.048;50;141;0.9949;3.13;0.49;10.3;6 +6.5;0.35;0.28;12.4;0.051;86;213;0.9962;3.16;0.51;9.9;6 +6.5;0.17;0.31;1.5;0.041;34;121;0.99092;3.06;0.46;10.5;6 +7.4;0.2;0.28;9.1;0.047;29;95;0.99532;3.16;0.47;9.8;7 +6.9;0.615;0.42;12;0.067;24;131;0.99727;3.19;0.34;9.3;5 +6.8;0.32;0.28;4.8;0.034;25;100;0.99026;3.08;0.47;12.4;7 +6.3;0.2;0.19;12.3;0.048;54;145;0.99668;3.16;0.42;9.3;6 +6.9;0.615;0.42;12;0.067;24;131;0.99727;3.19;0.34;9.3;5 +8;0.23;0.28;2.7;0.048;49;165;0.9952;3.26;0.72;9.5;6 +6.7;0.27;0.33;3.6;0.034;9;45;0.99144;3.08;0.4;10.5;6 +6.7;0.27;0.33;3.6;0.034;9;45;0.99144;3.08;0.4;10.5;6 +6.7;0.44;0.22;4.3;0.032;19;99;0.99015;3.26;0.53;12.8;7 +7;0.34;0.3;1.8;0.045;44;142;0.9914;2.99;0.45;10.8;6 +7.3;0.26;0.33;11.8;0.057;48;127;0.99693;3.1;0.55;10;6 +5.8;0.17;0.34;1.8;0.045;96;170;0.99035;3.38;0.9;11.8;8 +7.3;0.26;0.33;11.8;0.057;48;127;0.99693;3.1;0.55;10;6 +5.8;0.17;0.34;1.8;0.045;96;170;0.99035;3.38;0.9;11.8;8 +6.8;0.17;0.36;1.4;0.036;38;108;0.99006;3.19;0.66;12;6 +7.1;0.43;0.3;6.6;0.025;15;138;0.99126;3.18;0.46;12.6;6 +5.8;0.315;0.27;1.55;0.026;15;70;0.98994;3.37;0.4;11.9;8 +5.9;0.17;0.28;0.7;0.027;5;28;0.98985;3.13;0.32;10.6;5 +6.6;0.34;0.18;6.4;0.082;47;240;0.9971;3.42;0.48;9.2;5 +8.6;0.33;0.34;11.8;0.059;42;240;0.99882;3.17;0.52;10;6 +5.6;0.12;0.26;4.3;0.038;18;97;0.99477;3.36;0.46;9.2;5 +5.8;0.13;0.26;5.1;0.039;19;103;0.99478;3.36;0.47;9.3;6 +7.7;0.18;0.35;5.8;0.055;25;144;0.99576;3.24;0.54;10.2;6 +7.7;0.16;0.36;5.9;0.054;25;148;0.99578;3.25;0.54;10.2;6 +6;0.26;0.15;1.3;0.06;51;154;0.99354;3.14;0.51;8.7;5 +7.3;0.32;0.35;1.4;0.05;8;163;0.99244;3.24;0.42;10.7;5 +7.7;0.3;0.34;1.2;0.048;4;119;0.99084;3.18;0.34;12.1;6 +7.9;0.16;0.3;7.4;0.05;58;152;0.99612;3.12;0.37;9.5;6 +6.4;0.27;0.29;10.8;0.028;17;118;0.99356;3.18;0.37;11.2;6 +6.9;0.16;0.37;1.8;0.034;36;95;0.98952;2.93;0.59;12;6 +7.9;0.16;0.3;7.4;0.05;58;152;0.99612;3.12;0.37;9.5;6 +7.7;0.3;0.34;1.2;0.048;4;119;0.99084;3.18;0.34;12.1;6 +7.3;0.32;0.35;1.4;0.05;8;163;0.99244;3.24;0.42;10.7;5 +6.4;0.44;0.44;14.4;0.048;29;228;0.99955;3.26;0.54;8.8;7 +6.3;0.2;0.24;1.7;0.052;36;135;0.99374;3.8;0.66;10.8;6 +6.2;0.29;0.32;3.6;0.026;39;138;0.9892;3.31;0.37;13.1;7 +7.6;0.39;0.32;3.6;0.035;22;93;0.99144;3.08;0.6;12.5;7 +7;0.36;0.32;10.05;0.045;37;131;0.99352;3.09;0.33;11.7;8 +7;0.36;0.32;10.05;0.045;37;131;0.99352;3.09;0.33;11.7;8 +7;0.36;0.32;10.5;0.045;35;135;0.9935;3.09;0.33;11.6;8 +7.6;0.2;0.36;1.9;0.043;24;111;0.99237;3.29;0.54;11.3;6 +7.6;0.39;0.32;3.6;0.035;22;93;0.99144;3.08;0.6;12.5;7 +6.7;0.2;0.37;1.65;0.025;42;103;0.99022;3.11;0.45;11.4;5 +6.2;0.235;0.34;1.9;0.036;4;117;0.99032;3.4;0.44;12.2;5 +7.8;0.965;0.6;65.8;0.074;8;160;1.03898;3.39;0.69;11.7;6 +7.1;0.2;0.31;6.85;0.053;32;211;0.99587;3.31;0.59;10.4;6 +7.1;0.2;0.31;7.4;0.053;32;211;0.99587;3.31;0.59;10.4;6 +7.1;0.2;0.31;7.4;0.053;32;211;0.99587;3.31;0.59;10.4;6 +6.4;0.24;0.25;20.2;0.083;35;157;0.99976;3.17;0.5;9.1;5 +8;0.3;0.36;11;0.034;8;70;0.99354;3.05;0.41;12.2;6 +6.4;0.24;0.25;20.2;0.083;35;157;0.99976;3.17;0.5;9.1;5 +6.9;0.4;0.42;6.2;0.066;41;176;0.99552;3.12;0.54;9.4;5 +6.9;0.4;0.43;6.2;0.065;42;178;0.99552;3.11;0.53;9.4;5 +7.1;0.2;0.31;6.85;0.053;32;211;0.99587;3.31;0.59;10.4;6 +6.6;0.25;0.51;8;0.047;61;189;0.99604;3.22;0.49;9.2;5 +6.8;0.26;0.44;8.2;0.046;52;183;0.99584;3.2;0.51;9.4;5 +6.5;0.37;0.3;2.2;0.033;39;107;0.98894;3.22;0.53;13.5;7 +6.8;0.35;0.53;10.1;0.053;37;151;0.9963;3.07;0.4;9.4;5 +6.4;0.22;0.32;7.2;0.028;15;83;0.993;3.13;0.55;10.9;8 +6.5;0.37;0.3;2.2;0.033;39;107;0.98894;3.22;0.53;13.5;7 +6.8;0.35;0.53;10.1;0.053;37;151;0.9963;3.07;0.4;9.4;5 +6.9;0.31;0.32;1.6;0.036;34;114;0.99068;3.19;0.45;11.4;7 +6.7;0.16;0.37;1.3;0.036;45;125;0.98964;3.19;0.51;12.4;7 +6.6;0.25;0.51;8;0.047;61;189;0.99604;3.22;0.49;9.2;5 +6.8;0.26;0.44;8.2;0.046;52;183;0.99584;3.2;0.51;9.4;5 +5.6;0.15;0.31;5.3;0.038;8;79;0.9923;3.3;0.39;10.5;6 +5.5;0.15;0.32;14;0.031;16;99;0.99437;3.26;0.38;11.5;8 +6.4;0.22;0.32;7.2;0.028;15;83;0.993;3.13;0.55;10.9;8 +7.3;0.2;0.26;1.6;0.04;36;123;0.99238;3.34;0.44;10.8;6 +7.5;0.17;0.71;11.8;0.038;52;148;0.99801;3.03;0.46;8.9;5 +7.5;0.18;0.72;9.6;0.039;53;151;0.99802;3.03;0.46;8.9;5 +7;0.27;0.48;6.1;0.042;60;184;0.99566;3.2;0.5;9.4;6 +5.8;0.32;0.31;2.7;0.049;25;153;0.99067;3.44;0.73;12.2;7 +7.8;0.26;0.31;3.6;0.025;22;100;0.99066;2.99;0.47;12.1;7 +7.4;0.3;0.32;1.7;0.03;23;128;0.9929;3.17;0.66;10.9;5 +6.7;0.16;0.34;1.6;0.026;27;109;0.9934;3.34;0.58;10.1;6 +5.8;0.32;0.31;2.7;0.049;25;153;0.99067;3.44;0.73;12.2;7 +6.7;0.19;0.39;1;0.032;14;71;0.98912;3.31;0.38;13;7 +6.6;0.36;0.24;0.9;0.038;15;72;0.99066;3.23;0.39;11;5 +7.2;0.17;0.41;1.6;0.052;24;126;0.99228;3.19;0.49;10.8;5 +6.7;0.19;0.39;1;0.032;14;71;0.98912;3.31;0.38;13;7 +6;0.11;0.47;10.6;0.052;69;148;0.9958;2.91;0.34;9.3;4 +6;0.21;0.34;2;0.042;63;123;0.99052;3.44;0.42;11.4;6 +6.7;0.325;0.82;1.2;0.152;49;120;0.99312;2.99;0.38;9.2;5 +6.6;0.4;0.46;6.2;0.056;42;241;0.9968;3.5;0.6;9.9;5 +6.5;0.2;0.24;9.2;0.044;25;150;0.99502;3.22;0.44;10.5;5 +7.6;0.27;0.34;5;0.04;18;56;0.99084;3.06;0.48;12.4;6 +7.2;0.26;0.4;6.3;0.047;52;172;0.99573;3.18;0.53;9.5;6 +6.3;0.25;0.22;3.3;0.048;41;161;0.99256;3.16;0.5;10.5;6 +6.5;0.22;0.45;8;0.053;52;196;0.9959;3.23;0.48;9.1;6 +6.4;0.14;0.31;1.2;0.034;53;138;0.99084;3.38;0.35;11.5;7 +6.4;0.14;0.31;1.2;0.034;53;138;0.99084;3.38;0.35;11.5;7 +7.1;0.26;0.32;16.2;0.044;31;170;0.99644;3.17;0.37;11.2;5 +6.6;0.22;0.34;11.6;0.05;59;140;0.99526;3.22;0.4;10.8;5 +6.6;0.45;0.43;7.2;0.064;31;186;0.9954;3.12;0.44;9.4;5 +6.6;0.17;0.3;1.1;0.031;13;73;0.99095;3.17;0.58;11;6 +7.2;0.44;0.28;3.4;0.048;22;112;0.99188;3.21;0.37;11.3;7 +6.2;0.15;0.27;1.4;0.041;51;117;0.9909;3.28;0.38;11.2;6 +6.3;0.25;0.22;3.3;0.048;41;161;0.99256;3.16;0.5;10.5;6 +6.5;0.22;0.45;8;0.053;52;196;0.9959;3.23;0.48;9.1;6 +7.3;0.26;0.3;9.3;0.05;35;154;0.99581;3.21;0.5;10.4;6 +6.9;0.15;0.29;2.3;0.033;14;82;0.99132;3.1;0.58;11.2;7 +5.8;0.22;0.29;0.9;0.034;34;89;0.98936;3.14;0.36;11.1;7 +6.5;0.37;0.33;3.5;0.036;23;92;0.99136;3.18;0.38;11.2;6 +5.5;0.375;0.38;1.7;0.036;17;98;0.99142;3.29;0.39;10.5;6 +5.9;0.2;0.4;1.3;0.047;23;92;0.99232;3.2;0.45;10;6 +5.9;0.22;0.38;1.3;0.046;24;90;0.99232;3.2;0.47;10;6 +8;0.22;0.31;5.6;0.049;24;97;0.993;3.1;0.42;10.9;5 +6.5;0.22;0.29;7.4;0.028;16;87;0.99311;3.15;0.56;10.9;7 +6.9;0.15;0.29;2.3;0.033;14;82;0.99132;3.1;0.58;11.2;7 +5.8;0.2;0.34;1;0.035;40;86;0.98993;3.5;0.42;11.7;5 +6.6;0.31;0.07;1.5;0.033;55;144;0.99208;3.16;0.42;10;5 +7.7;0.43;0.37;10;0.169;22;210;0.99776;3.02;0.64;9.5;5 +6.7;0.24;0.29;14.9;0.053;55;136;0.99839;3.03;0.52;9;5 +7.3;0.23;0.34;9.3;0.052;19;86;0.99574;3.04;0.56;10;5 +7.9;0.2;0.39;1;0.041;37;154;0.99093;3.08;0.43;11.9;5 +5.3;0.16;0.39;1;0.028;40;101;0.99156;3.57;0.59;10.6;6 +6.4;0.21;0.28;5.9;0.047;29;101;0.99278;3.15;0.4;11;6 +6.9;0.33;0.26;5;0.027;46;143;0.9924;3.25;0.43;11.2;7 +5.6;0.18;0.58;1.25;0.034;29;129;0.98984;3.51;0.6;12;7 +6.6;0.29;0.31;3.9;0.027;39;96;0.99035;3.24;0.6;12.6;8 +6.9;0.33;0.26;5;0.027;46;143;0.9924;3.25;0.43;11.2;7 +6.6;0.21;0.36;0.8;0.034;48;113;0.99165;3.24;0.68;10.5;6 +7.3;0.21;0.33;1;0.037;66;144;0.9923;3.11;0.52;10.2;6 +6.4;0.21;0.28;5.9;0.047;29;101;0.99278;3.15;0.4;11;6 +5.1;0.11;0.32;1.6;0.028;12;90;0.99008;3.57;0.52;12.2;6 +6.5;0.15;0.32;1.3;0.036;19;76;0.98964;3.18;0.41;12.3;6 +5.3;0.16;0.39;1;0.028;40;101;0.99156;3.57;0.59;10.6;6 +5.6;0.19;0.46;1.1;0.032;33;115;0.9909;3.36;0.5;10.4;6 +5.6;0.18;0.58;1.25;0.034;29;129;0.98984;3.51;0.6;12;7 +6.7;0.48;0.32;1.4;0.021;22;121;0.9889;3.15;0.53;12.7;7 +6.2;0.23;0.23;1.2;0.018;18;128;0.99178;3.05;0.28;10.6;5 +6;0.17;0.29;5;0.028;25;108;0.99076;3.14;0.34;12.3;6 +6.7;0.48;0.32;1.4;0.021;22;121;0.9889;3.15;0.53;12.7;7 +6.7;0.15;0.38;1.7;0.037;20;84;0.99046;3.09;0.53;11.4;6 +4.2;0.17;0.36;1.8;0.029;93;161;0.98999;3.65;0.89;12;7 +5.8;0.21;0.32;1.6;0.045;38;95;0.98946;3.23;0.94;12.4;8 +5.4;0.23;0.36;1.5;0.03;74;121;0.98976;3.24;0.99;12.1;7 +6.7;0.15;0.38;1.7;0.037;20;84;0.99046;3.09;0.53;11.4;6 +6.4;0.22;0.31;13.9;0.04;57;135;0.99672;3.21;0.38;10.7;5 +6.5;0.15;0.55;5.9;0.045;75;162;0.99482;2.97;0.4;9.3;5 +5.9;0.32;0.33;2.1;0.027;35;138;0.98945;3.37;0.42;12.7;6 +5.7;0.37;0.3;1.1;0.029;24;88;0.98883;3.18;0.39;11.7;6 +7.9;0.25;0.35;6.7;0.039;22;64;0.99362;2.93;0.49;10.7;5 +7.2;0.21;0.28;2.7;0.033;38;94;0.99075;2.99;0.43;11.8;7 +7;0.24;0.3;6.7;0.039;37;125;0.99436;3.2;0.39;9.9;5 +6.8;0.475;0.33;3.95;0.047;16;81;0.98988;3.23;0.53;13.4;7 +7;0.28;0.32;7.75;0.032;30;114;0.99158;3.12;0.64;12.8;7 +6.9;0.4;0.3;10.6;0.033;24;87;0.99265;3.15;0.45;12.8;6 +6.6;0.41;0.31;1.6;0.042;18;101;0.99195;3.13;0.41;10.5;5 +6.4;0.2;0.28;2.5;0.032;24;84;0.99168;3.31;0.55;11.5;5 +8.5;0.22;0.34;0.7;0.04;5;25;0.9918;3.04;0.37;10.5;4 +8.4;0.36;0.36;11.1;0.032;21;132;0.99313;2.95;0.39;13;6 +5.2;0.285;0.29;5.15;0.035;64;138;0.9895;3.19;0.34;12.4;8 +6.9;0.2;0.3;4.7;0.041;40;148;0.9932;3.16;0.35;10.2;6 +6.7;0.42;0.46;9.7;0.054;67;234;0.99848;3.23;0.5;9;5 +6.2;0.16;0.34;1.7;0.038;85;153;0.9909;3.33;0.86;12;7 +6.4;0.125;0.36;1.4;0.044;22;68;0.99014;3.15;0.5;11.7;7 +6.4;0.44;0.26;2;0.054;20;180;0.9952;3.58;0.57;10;5 +7;0.31;0.39;7.5;0.055;42;218;0.99652;3.37;0.54;10.3;5 +6.7;0.42;0.46;9.7;0.054;67;234;0.99848;3.23;0.5;9;5 +8.6;0.18;0.28;0.8;0.032;25;78;0.99104;2.99;0.38;11.1;5 +6.2;0.21;0.26;13.1;0.05;59;150;0.99772;3.31;0.46;9;5 +6.1;0.16;0.37;1.1;0.031;37;97;0.9922;3.4;0.58;10.5;6 +6.5;0.22;0.32;2.2;0.028;36;92;0.99076;3.27;0.59;11.9;7 +6.2;0.36;0.14;8.9;0.036;38;155;0.99622;3.27;0.5;9.4;5 +5.7;0.21;0.25;1.1;0.035;26;81;0.9902;3.31;0.52;11.4;6 +6.4;0.25;0.32;0.9;0.034;40;114;0.99114;3.31;0.58;10.8;7 +7.6;0.31;0.26;1.7;0.073;40;157;0.9938;3.1;0.46;9.8;5 +6.6;0.26;0.46;6.9;0.047;59;183;0.99594;3.2;0.45;9.3;5 +5.7;0.21;0.25;1.1;0.035;26;81;0.9902;3.31;0.52;11.4;6 +6.2;0.2;0.31;1;0.031;22;73;0.99035;3.24;0.52;11.3;6 +6.2;0.18;0.3;1;0.031;23;73;0.99032;3.23;0.52;11.3;6 +6.1;0.37;0.2;7.6;0.031;49;170;0.99558;3.22;0.48;9.5;5 +6.2;0.36;0.14;8.9;0.036;38;155;0.99622;3.27;0.5;9.4;5 +6.5;0.22;0.32;2.2;0.028;36;92;0.99076;3.27;0.59;11.9;7 +7.7;0.18;0.3;1.2;0.046;49;199;0.99413;3.03;0.38;9.3;5 +6.9;0.14;0.38;1;0.041;22;81;0.99043;3.03;0.54;11.4;6 +6.9;0.14;0.38;1;0.041;22;81;0.99043;3.03;0.54;11.4;6 +6;0.44;0.26;3.1;0.053;57;128;0.98982;3.22;0.39;12.7;6 +7.1;0.36;0.4;1.95;0.033;26;118;0.98934;3.2;0.45;13.5;7 +5.7;0.28;0.28;2.2;0.019;15;65;0.9902;3.06;0.52;11.2;6 +6.4;0.16;0.32;8.75;0.038;38;118;0.99449;3.19;0.41;10.7;5 +7.4;0.28;0.4;11.9;0.032;13;92;0.99629;3.01;0.46;10.8;4 +6.7;0.39;0.31;2.7;0.054;27;202;0.9948;3.46;0.57;10.5;6 +6.5;0.44;0.47;5.45;0.014;44;137;0.98984;3.13;0.32;13;8 +6.9;0.22;0.31;6.3;0.029;41;131;0.99326;3.08;0.49;10.8;6 +6.6;0.22;0.29;14.4;0.046;39;118;0.99834;3.05;0.5;9.1;6 +7.7;0.25;0.3;7.8;0.038;67;196;0.99555;3.1;0.5;10.1;5 +5.2;0.155;0.33;1.6;0.028;13;59;0.98975;3.3;0.84;11.9;8 +7;0.31;0.31;9.1;0.036;45;140;0.99216;2.98;0.31;12;7 +7;0.31;0.31;9.1;0.036;45;140;0.99216;2.98;0.31;12;7 +6.6;0.22;0.29;14.4;0.046;39;118;0.99834;3.05;0.5;9.1;6 +5.6;0.21;0.4;1.3;0.041;81;147;0.9901;3.22;0.95;11.6;8 +5.2;0.155;0.33;1.6;0.028;13;59;0.98975;3.3;0.84;11.9;8 +6.4;0.25;0.32;11.3;0.038;69;192;0.99573;3.14;0.5;10.2;6 +6.9;0.22;0.31;6.3;0.029;41;131;0.99326;3.08;0.49;10.8;6 +5.3;0.21;0.29;0.7;0.028;11;66;0.99215;3.3;0.4;9.8;5 +7.1;0.27;0.28;1.25;0.023;3;89;0.98993;2.95;0.3;11.4;4 +5.2;0.17;0.27;0.7;0.03;11;68;0.99218;3.3;0.41;9.8;5 +7.7;0.25;0.3;7.8;0.038;67;196;0.99555;3.1;0.5;10.1;5 +7;0.12;0.29;10.3;0.039;41;98;0.99564;3.19;0.38;9.8;8 +7;0.12;0.29;10.3;0.039;41;98;0.99564;3.19;0.38;9.8;8 +7.1;0.29;0.34;7.8;0.036;49;128;0.99397;3.21;0.4;10.7;6 +7.2;0.3;0.3;8.7;0.022;14;111;0.99576;3.11;0.61;10.6;5 +6.8;0.26;0.46;8.3;0.037;49;173;0.99601;3.17;0.47;9.3;5 +7;0.12;0.29;10.3;0.039;41;98;0.99564;3.19;0.38;9.8;8 +7.1;0.29;0.34;7.8;0.036;49;128;0.99397;3.21;0.4;10.7;6 +4.9;0.33;0.31;1.2;0.016;39;150;0.98713;3.33;0.59;14;8 +5.1;0.29;0.28;8.3;0.026;27;107;0.99308;3.36;0.37;11;6 +5.1;0.29;0.28;8.3;0.026;27;107;0.99308;3.36;0.37;11;6 +6.8;0.26;0.48;6.2;0.049;55;182;0.99582;3.21;0.45;9.4;6 +6;0.28;0.52;5;0.078;30;139;0.99494;3.1;0.36;9;6 +6;0.28;0.25;1.8;0.042;8;108;0.9929;3.08;0.55;9;5 +7.2;0.2;0.22;1.6;0.044;17;101;0.99471;3.37;0.53;10;5 +6.1;0.27;0.25;1.8;0.041;9;109;0.9929;3.08;0.54;9;5 +6;0.28;0.25;1.8;0.042;8;108;0.9929;3.08;0.55;9;5 +6.4;0.29;0.3;2.9;0.036;25;79;0.99037;3.29;0.6;12.4;7 +7.4;0.35;0.24;6;0.042;28;123;0.99304;3.14;0.44;11.3;5 +8.1;0.12;0.38;0.9;0.034;36;86;0.99026;2.8;0.55;12;6 +6.4;0.12;0.3;1.1;0.031;37;94;0.98986;3.01;0.56;11.7;6 +7.2;0.2;0.22;1.6;0.044;17;101;0.99471;3.37;0.53;10;5 +7.3;0.4;0.26;5.45;0.016;26;90;0.98951;2.84;0.54;13.2;7 +7.7;0.11;0.34;14.05;0.04;41;114;0.99634;3.07;0.59;11;7 +6.9;0.23;0.41;8;0.03;30;114;0.99368;3.22;0.54;11;6 +6.9;0.38;0.38;13.1;0.112;14;94;0.99792;3.02;0.48;9.2;5 +7.5;0.38;0.29;4.9;0.021;38;113;0.99026;3.08;0.48;13;7 +5.8;0.19;0.24;1.3;0.044;38;128;0.99362;3.77;0.6;10.6;5 +5.5;0.34;0.26;2.2;0.021;31;119;0.98919;3.55;0.49;13;8 +6.6;0.23;0.3;14.9;0.051;33;118;0.99835;3.04;0.54;9;6 +6.6;0.23;0.3;14.9;0.051;33;118;0.99835;3.04;0.54;9;6 +8.4;0.31;0.31;0.95;0.021;52;148;0.99038;2.93;0.32;11.5;5 +6.7;0.2;0.3;1.4;0.025;17;76;0.99104;3.11;0.44;11;6 +8.4;0.31;0.31;0.95;0.021;52;148;0.99038;2.93;0.32;11.5;5 +7.3;0.26;0.24;1.7;0.05;10;112;0.99286;3.11;0.43;9.9;5 +6.3;0.22;0.22;5.6;0.039;31;128;0.99296;3.12;0.46;10.4;6 +6.6;0.23;0.3;14.9;0.051;33;118;0.99835;3.04;0.54;9;6 +7.5;0.19;0.4;7.1;0.056;50;110;0.9954;3.06;0.52;9.9;6 +8;0.14;0.33;1.2;0.045;71;162;0.9914;3.07;0.47;11;6 +6.8;0.32;0.39;9.6;0.026;34;124;0.99286;3.18;0.35;12.1;6 +6.6;0.23;0.2;11.4;0.044;45;131;0.99604;2.96;0.51;9.7;6 +6.6;0.23;0.2;11.4;0.044;45;131;0.99604;2.96;0.51;9.7;6 +6.7;0.36;0.26;7.9;0.034;39;123;0.99119;2.99;0.3;12.2;7 +6.1;0.38;0.42;5;0.016;31;113;0.99007;3.15;0.31;12.4;7 +8.5;0.23;0.28;11.1;0.033;30;97;0.99507;3.03;0.39;10.5;7 +7;0.2;0.31;8;0.05;29;213;0.99596;3.28;0.57;10.4;6 +6;0.26;0.32;3.8;0.029;48;180;0.99011;3.15;0.34;12;6 +6.9;0.3;0.3;10.55;0.037;4;28;0.99184;3.07;0.32;12.7;6 +6.7;0.18;0.28;10.2;0.039;29;115;0.99469;3.11;0.45;10.9;7 +6.7;0.18;0.28;10.2;0.039;29;115;0.99469;3.11;0.45;10.9;7 +6.8;0.18;0.28;9.8;0.039;29;113;0.99406;3.11;0.45;10.9;7 +7.2;0.19;0.31;6.3;0.034;17;103;0.99305;3.15;0.52;11.4;7 +6.2;0.16;0.32;1.1;0.036;74;184;0.99096;3.22;0.41;11;6 +5;0.27;0.32;4.5;0.032;58;178;0.98956;3.45;0.31;12.6;7 +6.3;0.37;0.28;6.3;0.034;45;152;0.9921;3.29;0.46;11.6;7 +6.6;0.2;0.27;10.9;0.038;29;130;0.99496;3.11;0.44;10.5;7 +6.8;0.18;0.28;9.8;0.039;29;113;0.99406;3.11;0.45;10.9;7 +6.8;0.18;0.28;9.8;0.039;29;113;0.99406;3.11;0.45;10.9;7 +6.6;0.28;0.34;0.8;0.037;42;119;0.9888;3.03;0.37;12.5;6 +6.5;0.35;0.36;0.8;0.034;32;111;0.98942;3.11;0.5;12.1;8 +6.9;0.25;0.33;1.2;0.035;35;158;0.99082;3.02;0.58;11.3;6 +6;0.32;0.3;1.3;0.025;18;112;0.98802;3.07;0.64;13.3;7 +6.8;0.18;0.28;9.8;0.039;29;113;0.99406;3.11;0.45;10.9;7 +6.7;0.18;0.28;10.2;0.039;29;115;0.99469;3.11;0.45;10.9;7 +6.6;0.2;0.27;10.9;0.038;29;130;0.99496;3.11;0.44;10.5;7 +6.3;0.37;0.28;6.3;0.034;45;152;0.9921;3.29;0.46;11.6;7 +7.2;0.19;0.31;6.3;0.034;17;103;0.99305;3.15;0.52;11.4;7 +6.3;0.18;0.36;1.2;0.034;26;111;0.99074;3.16;0.51;11;6 +6.9;0.3;0.36;0.9;0.037;40;156;0.98968;3.08;0.36;12.1;6 +6.2;0.16;0.32;1.1;0.036;74;184;0.99096;3.22;0.41;11;6 +5;0.27;0.32;4.5;0.032;58;178;0.98956;3.45;0.31;12.6;7 +5;0.3;0.33;3.7;0.03;54;173;0.9887;3.36;0.3;13;7 +6.5;0.2;0.5;18.1;0.054;50;221;0.99941;2.94;0.64;8.8;6 +6.7;0.25;0.31;1.35;0.061;30.5;218;0.99388;3.16;0.53;9.5;5 +6.6;0.22;0.36;5.5;0.029;30;105;0.99206;3.2;0.47;11.8;6 +6.8;0.25;0.37;3.1;0.026;29;93;0.99035;3.14;0.45;12.2;6 +7;0.13;0.37;12.85;0.042;36;105;0.99581;3.05;0.55;10.7;6 +7;0.45;0.34;19.8;0.04;12;67;0.9976;3.07;0.38;11;6 +7.2;0.32;0.3;8.25;0.02;14;104;0.99362;2.99;0.44;11.4;6 +7;0.13;0.37;12.85;0.042;36;105;0.99581;3.05;0.55;10.7;6 +5.9;0.34;0.3;3.8;0.035;57;135;0.99016;3.09;0.34;12;6 +6.8;0.22;0.31;6.9;0.037;33;121;0.99176;3.02;0.39;11.9;8 +7.2;0.32;0.3;8.25;0.02;14;104;0.99362;2.99;0.44;11.4;6 +8.4;0.32;0.35;11.7;0.029;3;46;0.99439;3.02;0.34;11.8;6 +6.8;0.27;0.29;4.6;0.046;6;88;0.99458;3.34;0.48;10.6;4 +8;0.74;0.21;4;0.05;24;133;0.99418;3.06;0.38;9.7;5 +7;0.45;0.34;19.8;0.04;12;67;0.9976;3.07;0.38;11;6 +7;0.13;0.37;12.85;0.042;36;105;0.99581;3.05;0.55;10.7;6 +5.4;0.22;0.29;1.2;0.045;69;152;0.99178;3.76;0.63;11;7 +8.4;0.22;0.3;8.9;0.024;17;118;0.99456;2.99;0.34;10.5;6 +7.4;0.32;0.22;11.7;0.035;44;150;0.99578;3.1;0.45;10.4;5 +7.5;0.18;0.37;6.2;0.05;21;138;0.99546;3.2;0.55;10.5;6 +7.1;0.47;0.29;14.8;0.024;22;142;0.99518;3.12;0.48;12;8 +7.1;0.47;0.29;14.8;0.024;22;142;0.99518;3.12;0.48;12;8 +5.8;0.19;0.25;10.8;0.042;33;124;0.99646;3.22;0.41;9.2;6 +6.7;0.14;0.46;1.6;0.036;15;92;0.99264;3.37;0.49;10.9;5 +6.8;0.24;0.38;8.3;0.045;50;185;0.99578;3.15;0.5;9.5;6 +6.9;0.25;0.47;8.4;0.042;36;156;0.99604;3.15;0.55;9.4;6 +6;0.24;0.33;2.5;0.026;31;85;0.99014;3.13;0.5;11.3;7 +6.8;0.29;0.34;3.5;0.054;26;189;0.99489;3.42;0.58;10.4;5 +6.3;0.33;0.42;17.2;0.037;57;170;0.99884;3.26;0.57;9.4;6 +6.5;0.23;0.45;2.1;0.027;43;104;0.99054;3.02;0.52;11.3;6 +6.3;0.27;0.29;12.2;0.044;59;196;0.99782;3.14;0.4;8.8;6 +6.3;0.2;0.37;11.8;0.045;58;130;0.99519;3.2;0.35;10.8;5 +6.2;0.33;0.41;16.8;0.037;58;173;0.99882;3.25;0.57;9.4;6 +6.3;0.33;0.42;17.2;0.037;57;170;0.99884;3.26;0.57;9.4;6 +7.2;0.21;1;1.1;0.154;46;114;0.9931;2.95;0.43;9.2;6 +6;0.27;0.3;14.7;0.044;15;144;0.99666;3.12;0.53;10.3;6 +5.7;0.12;0.26;5.5;0.034;21;99;0.99324;3.09;0.57;9.9;6 +6.9;0.24;0.37;6.1;0.027;38;112;0.99086;3.19;0.34;12.4;6 +7.7;0.18;0.53;1.2;0.041;42;167;0.9908;3.11;0.44;11.9;5 +7.1;0.17;0.43;1.3;0.023;33;132;0.99067;3.11;0.56;11.7;6 +7.5;0.33;0.38;8.7;0.126;49;199;0.99711;2.98;0.57;9.4;5 +6.2;0.255;0.24;1.7;0.039;138.5;272;0.99452;3.53;0.53;9.6;4 +7.5;0.33;0.38;8.7;0.126;49;199;0.99711;2.98;0.57;9.4;5 +5.6;0.2;0.66;10.2;0.043;78;175;0.9945;2.98;0.43;10.4;7 +7.6;0.17;0.36;4.5;0.042;26;102;0.99427;3.09;0.47;9.5;5 +5.8;0.15;0.31;5.9;0.036;7;73;0.99152;3.2;0.43;11.9;6 +6.3;0.25;0.44;1.7;0.024;36;116;0.98935;3.18;0.4;12.5;6 +6.9;0.28;0.41;1.4;0.016;6;55;0.98876;3.16;0.4;13.4;5 +7.2;0.27;0.37;5.4;0.026;27;114;0.99174;3.13;0.84;12.7;5 +6.2;0.25;0.38;7.9;0.045;54;208;0.99572;3.17;0.46;9.1;5 +8.5;0.19;0.48;1.1;0.026;23;58;0.99184;2.9;0.5;10.5;6 +6.2;0.25;0.54;7;0.046;58;176;0.99454;3.19;0.7;10.4;5 +6.2;0.25;0.54;7;0.046;58;176;0.99454;3.19;0.7;10.4;5 +6.8;0.28;0.43;7.6;0.03;30;110;0.99164;3.08;0.59;12.5;8 +6.2;0.25;0.54;7;0.046;58;176;0.99454;3.19;0.7;10.4;5 +7.4;0.21;0.8;12.3;0.038;77;183;0.99778;2.95;0.48;9;5 +7;0.15;0.38;15.3;0.045;54;120;0.9975;3.18;0.42;9.8;6 +7.4;0.21;0.8;12.3;0.038;77;183;0.99778;2.95;0.48;9;5 +7.3;0.28;0.42;1.2;0.033;29;142;0.99205;3.17;0.43;10.7;4 +6.1;0.18;0.38;2.3;0.033;28;111;0.98962;3.16;0.49;12.4;6 +7;0.53;0.43;6.1;0.029;6;76;0.99118;3.08;0.5;12.5;8 +6.8;0.28;0.43;7.6;0.03;30;110;0.99164;3.08;0.59;12.5;8 +6.5;0.36;0.38;10.2;0.028;20;82;0.99274;3.1;0.43;12.1;7 +7.5;0.25;0.47;4.1;0.041;95;163;0.99184;2.92;0.59;11.3;6 +6.7;0.24;0.41;2.9;0.039;48;122;0.99052;3.25;0.43;12;5 +6.6;0.25;0.33;8.5;0.042;29;141;0.99546;3.28;0.6;10.4;5 +6.4;0.15;0.4;1.5;0.042;23;87;0.98972;3.11;0.46;12.2;7 +6.3;0.28;0.3;3.1;0.039;24;115;0.9942;3.05;0.43;8.6;5 +6.2;0.25;0.38;7.9;0.045;54;208;0.99572;3.17;0.46;9.1;5 +7.1;0.28;0.35;3.5;0.028;35;91;0.99022;2.96;0.33;12.1;5 +6.6;0.35;0.34;4.9;0.032;9;125;0.99253;3.32;0.81;12;5 +8.5;0.19;0.48;1.1;0.026;23;58;0.99184;2.9;0.5;10.5;6 +6.2;0.25;0.54;7;0.046;58;176;0.99454;3.19;0.7;10.4;5 +6;0.35;0.51;1.2;0.029;10;102;0.9903;3.46;0.42;11.9;6 +5.8;0.31;0.32;4.5;0.024;28;94;0.98906;3.25;0.52;13.7;7 +6.6;0.17;0.35;2.6;0.03;33;78;0.99146;3.22;0.72;11.3;6 +8.5;0.23;0.4;9.9;0.036;24;88;0.9951;3.02;0.42;10.5;6 +5.8;0.31;0.32;4.5;0.024;28;94;0.98906;3.25;0.52;13.7;7 +6.1;0.2;0.34;9.5;0.041;38;201;0.995;3.14;0.44;10.1;3 +6.3;0.37;0.37;1.5;0.024;12;76;0.98876;2.94;0.39;12.3;6 +6.2;0.36;0.38;3.2;0.031;20;89;0.98956;3.06;0.33;12;7 +6.6;0.17;0.35;2.6;0.03;33;78;0.99146;3.22;0.72;11.3;6 +6.3;0.28;0.47;11.2;0.04;61;183;0.99592;3.12;0.51;9.5;6 +7.6;0.27;0.52;3.2;0.043;28;152;0.99129;3.02;0.53;11.4;6 +7;0.25;0.45;2.3;0.045;40;118;0.99064;3.16;0.48;11.9;7 +9.7;0.24;0.49;4.9;0.032;3;18;0.99368;2.85;0.54;10;6 +9.7;0.24;0.49;4.9;0.032;3;18;0.99368;2.85;0.54;10;6 +6.8;0.13;0.39;1.4;0.034;19;102;0.99121;3.23;0.6;11.3;7 +6.6;0.78;0.5;1.5;0.045;30;133;0.99104;3.25;0.48;11.7;5 +5.1;0.33;0.27;6.7;0.022;44;129;0.99221;3.36;0.39;11;7 +6.7;0.34;0.4;2.1;0.033;34;111;0.98924;2.97;0.48;12.2;7 +6.7;0.14;0.51;4.3;0.028;57;124;0.99176;2.91;0.54;10.7;7 +7;0.26;0.34;10.9;0.038;25;84;0.99432;3.11;0.34;10.9;6 +6.5;0.29;0.26;7;0.04;18;113;0.99366;3.17;0.38;10.2;6 +7;0.25;0.45;2.3;0.045;40;118;0.99064;3.16;0.48;11.9;7 +7.6;0.21;0.49;2.5;0.047;20;130;0.99178;3.15;0.48;11.1;5 +7.7;0.26;0.51;2.6;0.045;26;159;0.99126;3;0.5;11.2;6 +7.6;0.27;0.52;3.2;0.043;28;152;0.99129;3.02;0.53;11.4;6 +7.7;0.25;0.49;2.5;0.047;31;169;0.99252;3.07;0.57;10.6;6 +7.6;0.35;0.46;14.7;0.047;33;151;0.99709;3.03;0.53;10.3;5 +6.9;0.3;0.36;4.5;0.054;31;203;0.99513;3.4;0.57;10.4;4 +6.7;0.24;0.46;2.2;0.033;19;111;0.99045;3.1;0.62;11.9;6 +6.5;0.23;0.39;1.9;0.036;41;98;0.99;3.19;0.43;11.9;7 +7.6;0.23;0.34;1.6;0.043;24;129;0.99305;3.12;0.7;10.4;5 +6.5;0.24;0.39;17.3;0.052;22;126;0.99888;3.11;0.47;9.2;6 +6.3;0.17;0.32;4.2;0.04;37;117;0.99182;3.24;0.43;11.3;6 +6.3;0.17;0.32;4.2;0.04;37;117;0.99182;3.24;0.43;11.3;6 +6.7;0.21;0.37;2.5;0.034;35;89;0.9913;3.25;0.5;11;7 +6.5;0.23;0.39;1.9;0.036;41;98;0.99;3.19;0.43;11.9;7 +5.9;0.28;0.39;1.4;0.031;47;147;0.98836;3.08;0.64;12.9;7 +5.9;0.19;0.37;0.8;0.027;3;21;0.9897;3.09;0.31;10.8;5 +6.2;0.25;0.42;8;0.049;53;206;0.99586;3.16;0.47;9.1;6 +7.6;0.23;0.34;1.6;0.043;24;129;0.99305;3.12;0.7;10.4;5 +5.6;0.18;0.27;1.7;0.03;31;103;0.98892;3.35;0.37;12.9;6 +5.5;0.18;0.22;5.5;0.037;10;86;0.99156;3.46;0.44;12.2;5 +6.5;0.24;0.39;17.3;0.052;22;126;0.99888;3.11;0.47;9.2;6 +7.4;0.23;0.38;8.6;0.052;41;150;0.99534;3.06;0.46;10.3;5 +7.2;0.17;0.37;6.9;0.059;47;128;0.99322;3.08;0.46;11;7 +7.6;0.3;0.38;2.1;0.043;10;98;0.99296;3.17;0.65;11;5 +5;0.24;0.21;2.2;0.039;31;100;0.99098;3.69;0.62;11.7;6 +6.1;0.21;0.38;1.5;0.039;37;122;0.98972;3.2;0.43;12;6 +6.5;0.33;0.38;2.5;0.047;30;148;0.98964;3.17;0.43;12.7;6 +6.3;0.35;0.26;17.6;0.061;59;198;0.99918;3.11;0.49;8.8;5 +6.3;0.17;0.32;4.2;0.04;37;117;0.99182;3.24;0.43;11.3;6 +6.6;0.25;0.35;2.9;0.034;38;121;0.99008;3.19;0.4;12.8;6 +6.5;0.16;0.33;4.8;0.043;45;114;0.992;3.18;0.44;11.2;6 +6.6;0.39;0.39;11.9;0.057;51;221;0.99851;3.26;0.51;8.9;6 +5.6;0.19;0.27;0.9;0.04;52;103;0.99026;3.5;0.39;11.2;5 +6.2;0.25;0.39;1.3;0.051;42;135;0.9906;3.23;0.4;11.1;6 +6.9;0.22;0.43;6.4;0.042;34;115;0.99293;3.05;0.51;10.8;6 +6.2;0.19;0.29;4.3;0.045;33;126;0.99658;3.18;0.42;9.3;6 +6.6;0.39;0.39;11.9;0.057;51;221;0.99851;3.26;0.51;8.9;6 +5.9;0.33;0.32;8.1;0.038;9;34;0.9911;3.22;0.36;12.7;7 +7.8;0.17;0.5;1.3;0.045;35;140;0.9904;3.16;0.4;12;6 +5.5;0.19;0.27;0.9;0.04;52;103;0.99026;3.5;0.39;11.2;5 +6.2;0.23;0.36;17.2;0.039;37;130;0.99946;3.23;0.43;8.8;6 +6.2;0.23;0.36;17.2;0.039;37;130;0.99946;3.23;0.43;8.8;6 +6.2;0.23;0.36;17.2;0.039;37;130;0.99946;3.23;0.43;8.8;6 +7.2;0.32;0.4;8.7;0.038;45;154;0.99568;3.2;0.47;10.4;6 +6.2;0.23;0.36;17.2;0.039;37;130;0.99946;3.23;0.43;8.8;6 +7.2;0.32;0.4;8.7;0.038;45;154;0.99568;3.2;0.47;10.4;6 +5.8;0.39;0.47;7.5;0.027;12;88;0.9907;3.38;0.45;14;6 +6.2;0.23;0.36;17.2;0.039;37;130;0.99946;3.23;0.43;8.8;6 +7.6;0.25;1.23;4.6;0.035;51;294;0.99018;3.03;0.43;13.1;6 +5.8;0.29;0.33;3.7;0.029;30;88;0.98994;3.25;0.42;12.3;6 +7.2;0.4;0.38;2.2;0.03;40;109;0.99075;3.27;0.46;12.6;6 +6.8;0.39;0.34;7.4;0.02;38;133;0.99212;3.18;0.44;12;7 +6.1;0.17;0.42;15.1;0.033;28;124;0.99684;2.87;0.47;9.5;5 +6.8;0.39;0.34;7.4;0.02;38;133;0.99212;3.18;0.44;12;7 +7.1;0.36;0.37;4.8;0.019;39;114;0.99036;3.08;0.49;12.7;7 +6.9;0.19;0.32;7.9;0.042;30;130;0.99456;3.4;0.39;10.5;6 +6.5;0.34;0.46;1;0.023;6;80;0.98865;3.15;0.54;12.9;6 +6.1;0.17;0.42;15.1;0.033;28;124;0.99684;2.87;0.47;9.5;5 +6.8;0.39;0.34;7.4;0.02;38;133;0.99212;3.18;0.44;12;7 +7.1;0.36;0.37;4.8;0.019;39;114;0.99036;3.08;0.49;12.7;7 +7.8;0.3;0.36;4.6;0.024;20;198;0.99222;3.06;0.66;11.9;6 +6.1;0.68;0.52;1.4;0.037;32;123;0.99022;3.24;0.45;12;6 +5.2;0.34;0.37;6.2;0.031;42;133;0.99076;3.25;0.41;12.5;6 +5.6;0.28;0.4;6.1;0.034;36;118;0.99144;3.21;0.43;12.1;7 +6.2;0.19;0.38;5.1;0.019;22;82;0.98961;3.05;0.36;12.5;6 +5.7;0.16;0.26;6.3;0.043;28;113;0.9936;3.06;0.58;9.9;6 +7.6;0.17;0.46;0.9;0.036;63;147;0.99126;3.02;0.41;10.7;6 +7.3;0.2;0.39;2.3;0.048;24;87;0.99044;2.94;0.35;12;6 +6.7;0.33;0.36;6.6;0.042;34;116;0.99123;2.97;0.31;12.2;8 +6.7;0.33;0.34;7.5;0.036;39;124;0.99123;2.99;0.32;12.4;8 +6.9;0.36;0.35;8.6;0.038;37;125;0.9916;3;0.32;12.4;8 +7.8;0.21;0.34;11.9;0.039;55;140;0.9959;3.02;0.31;10.3;6 +7.3;0.2;0.39;2.3;0.048;24;87;0.99044;2.94;0.35;12;6 +5.6;0.41;0.22;7.1;0.05;44;154;0.9931;3.3;0.4;10.5;5 +7.6;0.15;0.35;4.3;0.051;23;98;0.99422;3.1;0.44;9.5;6 +8.5;0.2;0.4;1.1;0.046;31;106;0.99194;3;0.35;10.5;4 +6.5;0.24;0.38;1;0.027;31;90;0.98926;3.24;0.36;12.3;6 +8.3;0.16;0.37;7.9;0.025;38;107;0.99306;2.93;0.37;11.9;6 +5.5;0.12;0.33;1;0.038;23;131;0.99164;3.25;0.45;9.8;5 +6.5;0.24;0.38;1;0.027;31;90;0.98926;3.24;0.36;12.3;6 +6.2;0.1;0.41;1;0.04;17;76;0.98988;3.14;0.56;11.4;7 +6.5;0.21;0.4;7.3;0.041;49;115;0.99268;3.21;0.43;11;6 +8.7;0.3;0.59;1.7;0.046;10;70;0.99373;3.06;0.56;10.8;4 +6.7;0.18;0.37;1.3;0.027;42;125;0.98939;3.24;0.37;12.8;7 +7;0.17;0.36;6.4;0.055;42;123;0.99318;3.11;0.5;11;8 +6.6;0.19;0.33;1.8;0.035;42;148;0.99196;3.15;0.36;10.2;5 +5.8;0.28;0.3;1.5;0.026;31;114;0.98952;3.32;0.6;12.5;7 +7.6;0.24;0.44;3.8;0.037;49;146;0.9911;3.06;0.37;11.6;6 +8.3;0.16;0.37;7.9;0.025;38;107;0.99306;2.93;0.37;11.9;6 +5.5;0.12;0.33;1;0.038;23;131;0.99164;3.25;0.45;9.8;5 +5.7;0.16;0.32;1.2;0.036;7;89;0.99111;3.26;0.48;11;5 +7;0.21;0.42;5.3;0.037;36;123;0.99321;3.14;0.52;10.9;6 +6.4;0.22;0.38;9.1;0.044;35;127;0.99326;2.97;0.3;11;7 +7.9;0.34;0.44;6.5;0.027;47;126;0.99124;2.96;0.37;12.5;6 +6.4;0.22;0.38;9.1;0.044;35;127;0.99326;2.97;0.3;11;7 +6.8;0.21;0.4;6.3;0.032;40;121;0.99214;3.18;0.53;12;7 +5.2;0.31;0.36;5.1;0.031;46;145;0.9897;3.14;0.31;12.4;7 +7.9;0.34;0.44;6.5;0.027;47;126;0.99124;2.96;0.37;12.5;6 +5.6;0.42;0.34;2.4;0.022;34;97;0.98915;3.22;0.38;12.8;7 +6.4;0.22;0.38;9.1;0.044;35;127;0.99326;2.97;0.3;11;7 +6.8;0.28;0.34;7.5;0.035;34;177;0.99692;3.33;0.43;9.1;5 +6.8;0.45;0.36;5;0.033;28;156;0.991;3.11;0.4;12.4;7 +6.6;0.29;0.39;6.75;0.031;22;98;0.9913;3.15;0.8;12.9;7 +6.8;0.21;0.42;1.2;0.045;24;126;0.99234;3.09;0.87;10.9;6 +6.8;0.25;0.24;1.6;0.045;39;164;0.99402;3.53;0.58;10.8;5 +6.4;0.21;0.34;16.05;0.04;56;142;0.99678;3.11;0.38;10.6;5 +5.8;0.33;0.23;5;0.053;29;106;0.99458;3.13;0.52;9;5 +8.2;0.3;0.44;12.4;0.043;52;154;0.99452;3.04;0.33;12;6 +6.4;0.24;0.32;0.95;0.041;23;131;0.99033;3.25;0.35;11.8;5 +7.5;0.18;0.45;4.6;0.041;67;158;0.9927;3.01;0.38;10.6;6 +5.2;0.335;0.2;1.7;0.033;17;74;0.99002;3.34;0.48;12.3;6 +7.1;0.14;0.33;1;0.104;20;54;0.99057;3.19;0.64;11.5;6 +7.2;0.13;0.46;1.3;0.044;48;111;0.99127;2.97;0.45;11.1;5 +5.8;0.33;0.23;5;0.053;29;106;0.99458;3.13;0.52;9;5 +6.5;0.29;0.25;2.5;0.142;8;111;0.9927;3;0.44;9.9;4 +6.2;0.35;0.31;2.6;0.036;37;92;0.98938;3.27;0.53;12.8;7 +9;0.38;0.53;2.1;0.102;19;76;0.99001;2.93;0.57;12.9;5 +6.6;0.24;0.38;12.75;0.034;8;74;0.99386;3.1;0.57;12.9;6 +6.6;0.16;0.34;1.1;0.037;41;115;0.9899;3.01;0.68;12;6 +8.2;0.3;0.44;12.4;0.043;52;154;0.99452;3.04;0.33;12;6 +5.7;0.15;0.28;3.7;0.045;57;151;0.9913;3.22;0.27;11.2;6 +6.6;0.33;0.4;2.65;0.041;35;86;0.98916;3.11;0.39;13.3;7 +5.7;0.2;0.3;2.5;0.046;38;125;0.99276;3.34;0.5;9.9;6 +6.8;0.27;0.37;8.2;0.055;52;192;0.99586;3.11;0.52;9.5;6 +6.8;0.27;0.42;7.3;0.054;58;200;0.99556;3.12;0.49;9.4;6 +6.2;0.2;0.26;1.1;0.047;42;119;0.99158;3.48;0.6;11;7 +6.7;0.13;0.57;6.6;0.056;60;150;0.99548;2.96;0.43;9.4;6 +6.8;0.21;0.37;7;0.038;27;107;0.99206;2.98;0.82;11.5;6 +6.7;0.31;0.32;14.5;0.038;6;79;0.99412;3.14;0.34;12.5;5 +6.2;0.2;0.29;11.8;0.035;21;93;0.99364;3.18;0.34;11.9;6 +6.6;0.25;0.34;3;0.054;22;141;0.99338;3.26;0.47;10.4;6 +5.7;0.15;0.28;3.7;0.045;57;151;0.9913;3.22;0.27;11.2;6 +6.9;0.22;0.39;6;0.035;44;141;0.99123;3.11;0.33;12.5;6 +6.4;0.23;0.35;4.6;0.039;43;147;0.99216;3.18;0.4;11;7 +7.6;0.27;0.29;2.5;0.059;37;115;0.99328;3.09;0.37;9.8;5 +6.6;0.34;0.24;3.3;0.034;29;99;0.99031;3.1;0.4;12.3;7 +6.4;0.16;0.42;1;0.036;29;113;0.9908;3.18;0.52;11;6 +5.8;0.3;0.42;1.1;0.036;19;113;0.98871;3.1;0.46;12.6;7 +7;0.29;0.35;1.4;0.036;42;109;0.99119;3.31;0.62;11.6;6 +6.6;0.34;0.24;3.3;0.034;29;99;0.99031;3.1;0.4;12.3;7 +6.7;0.21;0.36;8.55;0.02;20;86;0.99146;3.19;0.22;13.4;7 +7.6;0.27;0.29;2.5;0.059;37;115;0.99328;3.09;0.37;9.8;5 +6.8;0.22;0.41;6.7;0.034;39;116;0.99245;3.18;0.46;11.5;6 +7.7;0.27;0.49;3.8;0.037;46;139;0.99116;3.04;0.38;11.6;6 +6.4;0.25;0.37;4.5;0.039;41;147;0.9921;3.18;0.4;11.1;7 +6.4;0.23;0.35;4.6;0.039;43;147;0.99216;3.18;0.4;11;7 +6.7;0.13;0.45;4.2;0.043;52;131;0.99162;3.06;0.54;11.3;6 +6.7;0.24;0.37;11.3;0.043;64;173;0.99632;3.08;0.53;9.9;6 +7.1;0.26;0.37;5.5;0.025;31;105;0.99082;3.06;0.33;12.6;8 +5.3;0.3;0.16;4.2;0.029;37;100;0.9905;3.3;0.36;11.8;8 +7.1;0.38;0.4;2.2;0.042;54;201;0.99177;3.03;0.5;11.4;5 +7.4;0.19;0.31;14.5;0.045;39;193;0.9986;3.1;0.5;9.2;6 +7.4;0.19;0.31;14.5;0.045;39;193;0.9986;3.1;0.5;9.2;6 +7.4;0.19;0.31;14.5;0.045;39;193;0.9986;3.1;0.5;9.2;6 +7.4;0.19;0.31;14.5;0.045;39;193;0.9986;3.1;0.5;9.2;6 +7.4;0.19;0.31;14.5;0.045;39;193;0.9986;3.1;0.5;9.2;6 +7.4;0.19;0.31;14.5;0.045;39;193;0.9986;3.1;0.5;9.2;6 +6.3;0.32;0.32;1.5;0.03;24;101;0.98923;3.21;0.42;13;5 +7.6;0.19;0.32;18.75;0.047;32;193;1.00014;3.1;0.5;9.3;7 +6.5;0.26;0.31;3.6;0.03;36;92;0.99026;3.22;0.62;12.6;8 +5.9;0.24;0.12;1.4;0.035;60;247;0.99358;3.34;0.44;9.6;6 +4.2;0.215;0.23;5.1;0.041;64;157;0.99688;3.42;0.44;8.0;3 +8.1;0.24;0.32;10.5;0.03;34;105;0.99407;3.11;0.42;11.8;6 +5.8;0.23;0.2;2;0.043;39;154;0.99226;3.21;0.39;10.2;6 +7.5;0.33;0.36;2.6;0.051;26;126;0.99097;3.32;0.53;12.7;6 +6.6;0.38;0.36;9.2;0.061;42;214;0.9976;3.31;0.56;9.4;5 +6.4;0.15;0.29;1.8;0.044;21;115;0.99166;3.1;0.38;10.2;5 +6.5;0.32;0.34;5.7;0.044;27;91;0.99184;3.28;0.6;12;7 +7.5;0.22;0.32;2.4;0.045;29;100;0.99135;3.08;0.6;11.3;7 +6.4;0.23;0.32;1.9;0.038;40;118;0.99074;3.32;0.53;11.8;7 +6.1;0.22;0.31;1.4;0.039;40;129;0.99193;3.45;0.59;10.9;5 +6.5;0.48;0.02;0.9;0.043;32;99;0.99226;3.14;0.47;9.8;4 +6.6;0.23;0.3;4.6;0.06;29;154;0.99142;3.23;0.49;12.2;8 +6.4;0.16;0.25;1.4;0.057;21;125;0.99091;3.23;0.44;11.1;7 +6.6;0.38;0.36;9.2;0.061;42;214;0.9976;3.31;0.56;9.4;5 +7.4;0.16;0.32;1.4;0.065;23;140;0.99134;3.06;0.47;11.4;6 +6.4;0.15;0.29;1.8;0.044;21;115;0.99166;3.1;0.38;10.2;5 +6.5;0.32;0.3;2.3;0.051;20;127;0.98964;3.13;0.52;12.8;6 +6.7;0.12;0.36;2.3;0.039;43;125;0.99229;3.07;0.67;10.1;7 +6.6;0.2;0.14;4.4;0.184;35;168;0.99396;2.93;0.45;9.4;6 +8;0.34;0.25;6.4;0.035;38;103;0.99148;2.91;0.23;12.2;6 +6.8;0.21;0.31;2.9;0.046;40;121;0.9913;3.07;0.65;10.9;7 +6.8;0.23;0.31;2.8;0.047;40;122;0.99126;3.06;0.64;10.9;7 +6.8;0.21;0.31;2.9;0.046;40;121;0.9913;3.07;0.65;10.9;7 +6.6;0.2;0.14;4.4;0.184;35;168;0.99396;2.93;0.45;9.4;6 +6.6;0.28;0.42;8.2;0.044;60;196;0.99562;3.14;0.48;9.4;5 +7.8;0.25;0.37;1;0.043;10;80;0.99128;3.08;0.38;11.4;5 +5.6;0.12;0.33;2.9;0.044;21;73;0.98896;3.17;0.32;12.9;8 +6.6;0.28;0.41;7;0.046;59;194;0.99558;3.14;0.48;9.4;5 +6.8;0.17;0.35;1.8;0.04;29;84;0.98961;2.91;0.57;12;7 +7.3;0.25;0.28;1.5;0.043;19;113;0.99338;3.38;0.56;10.1;6 +6.6;0.28;0.41;7;0.046;59;194;0.99558;3.14;0.48;9.4;5 +6.6;0.28;0.42;8.2;0.044;60;196;0.99562;3.14;0.48;9.4;5 +6.5;0.25;0.5;7.6;0.047;54;184;0.99572;3.17;0.45;9.2;5 +6.3;0.24;0.35;2.3;0.039;43;109;0.99056;3.34;0.44;11.8;6 +6.8;0.32;0.32;8.7;0.029;31;105;0.99146;3;0.34;12.3;7 +7.8;0.25;0.37;1;0.043;10;80;0.99128;3.08;0.38;11.4;5 +5.6;0.12;0.33;2.9;0.044;21;73;0.98896;3.17;0.32;12.9;8 +6.6;0.24;0.28;6.7;0.032;26;91;0.99172;3.13;0.32;12.3;6 +6.3;0.22;0.34;5;0.032;36;93;0.99012;3.27;0.36;13.5;7 +6;0.32;0.3;1.9;0.033;41;142;0.98912;3.29;0.42;12.8;7 +6.3;0.19;0.29;2;0.022;33;96;0.98902;3.04;0.54;12.8;7 +6;0.32;0.3;1.9;0.033;41;142;0.98912;3.29;0.42;12.8;7 +9.4;0.24;0.29;8.5;0.037;124;208;0.99395;2.9;0.38;11;3 +6.4;0.35;0.28;12.6;0.039;19;124;0.99539;3.2;0.43;10.6;6 +6.7;0.46;0.27;5.2;0.039;35;96;0.99129;3.16;0.44;12.4;7 +6.3;0.3;0.29;2.1;0.048;33;142;0.98956;3.22;0.46;12.9;7 +6;0.19;0.29;1.1;0.047;67;152;0.9916;3.54;0.59;11.1;7 +5.9;0.24;0.28;1.3;0.032;36;95;0.98889;3.08;0.64;12.9;7 +7.3;0.145;0.33;1.1;0.042;14;64;0.99012;3.1;0.37;11.8;7 +6.6;0.435;0.38;9.2;0.058;66;243;0.99833;3.23;0.54;9.1;6 +5.8;0.18;0.37;1.2;0.036;19;74;0.98853;3.09;0.49;12.7;7 +5.8;0.18;0.37;1.1;0.036;31;96;0.98942;3.16;0.48;12;6 +5.6;0.32;0.32;8.3;0.043;32;105;0.99266;3.24;0.47;11.2;6 +6.6;0.16;0.35;1.8;0.042;26;105;0.98962;3.19;0.75;12.4;7 +5.1;0.21;0.28;1.4;0.047;48;148;0.99168;3.5;0.49;10.4;5 +7.5;0.29;0.36;15.7;0.05;29;124;0.9968;3.06;0.54;10.4;5 +6;0.26;0.33;4.35;0.04;15;80;0.98934;3.29;0.5;12.7;6 +5.7;0.26;0.3;1.8;0.039;30;105;0.98995;3.48;0.52;12.5;7 +7.1;0.17;0.31;1.6;0.037;15;103;0.991;3.14;0.5;12;6 +6.9;0.17;0.3;2;0.047;13;117;0.99152;3.16;0.51;11.6;6 +6.8;0.25;0.28;5;0.035;42;126;0.99048;3.12;0.38;12.6;7 +6.6;0.17;0.28;1.8;0.042;62;178;0.99204;3.15;0.42;10.2;5 +5.8;0.17;0.36;1.3;0.036;11;70;0.99202;3.43;0.68;10.4;7 +6.4;0.24;0.29;1;0.038;18;122;0.9906;3.3;0.42;11.5;5 +6.7;0.21;0.34;1.4;0.049;36;112;0.99091;3.02;0.5;11;6 +6.7;0.23;0.33;8.1;0.048;45;176;0.99472;3.11;0.52;10.1;6 +6.8;0.23;0.32;8.6;0.046;47;159;0.99452;3.08;0.52;10.5;6 +6.5;0.22;0.28;3.7;0.059;29;151;0.99177;3.23;0.41;12.1;7 +5.1;0.165;0.22;5.7;0.047;42;146;0.9934;3.18;0.55;9.9;6 +6.6;0.425;0.25;2.35;0.034;23;87;0.99082;3.05;0.41;11.4;6 +6.9;0.38;0.29;13.65;0.048;52;189;0.99784;3;0.6;9.5;6 +6.9;0.38;0.29;13.65;0.048;52;189;0.99784;3;0.6;9.5;6 +6.9;0.38;0.29;13.65;0.048;52;189;0.99784;3;0.6;9.5;6 +7.2;0.27;0.28;15.2;0.046;6;41;0.99665;3.17;0.39;10.9;6 +7.6;0.17;0.27;4.6;0.05;23;98;0.99422;3.08;0.47;9.5;6 +6.2;0.3;0.31;1.2;0.048;19;125;0.98999;3.32;0.54;12.6;6 +7.6;0.17;0.27;4.6;0.05;23;98;0.99422;3.08;0.47;9.5;6 +6.5;0.26;0.32;6.65;0.059;34;104;0.99254;3.18;0.42;11.1;5 +6.9;0.36;0.28;13.55;0.048;51;189;0.99782;3;0.6;9.5;7 +6.9;0.38;0.29;13.65;0.048;52;189;0.99784;3;0.6;9.5;6 +6.8;0.18;0.24;9.8;0.058;64;188;0.9952;3.13;0.51;10.6;6 +6.7;0.18;0.24;10.3;0.057;64;185;0.99519;3.12;0.5;10.6;6 +6.6;0.16;0.21;6.7;0.055;43;157;0.99384;3.15;0.52;10.8;6 +7.2;0.27;0.28;15.2;0.046;6;41;0.99665;3.17;0.39;10.9;6 +6.4;0.17;0.27;9.9;0.047;26;101;0.99596;3.34;0.5;9.9;6 +7.2;0.22;0.28;7.2;0.06;41;132;0.9935;3.08;0.59;11.3;6 +6;0.22;0.28;1.1;0.034;47;90;0.98862;3.22;0.38;12.6;6 +6.7;0.36;0.28;8.3;0.034;29;81;0.99151;2.96;0.39;12.5;6 +6.5;0.43;0.28;11.25;0.032;31;87;0.9922;3.02;0.38;12.4;6 +5.9;0.2;0.28;12.8;0.038;29;132;0.99426;3.31;0.57;11.8;7 +5.3;0.32;0.23;9.65;0.026;26;119;0.99168;3.18;0.53;12.2;6 +6.8;0.2;0.28;12.6;0.048;54;136;0.99556;3.19;0.37;10.7;6 +6;0.22;0.33;12.2;0.033;25;97;0.99356;3.17;0.42;11.3;7 +6.7;0.36;0.28;8.3;0.034;29;81;0.99151;2.96;0.39;12.5;6 +6.5;0.43;0.28;11.25;0.032;31;87;0.9922;3.02;0.38;12.4;6 +7.1;0.18;0.49;1.3;0.033;12;72;0.99072;3.05;0.53;11.3;7 +6.4;0.17;0.27;9.9;0.047;26;101;0.99596;3.34;0.5;9.9;6 +7.2;0.22;0.28;7.2;0.06;41;132;0.9935;3.08;0.59;11.3;6 +6;0.22;0.28;1.1;0.034;47;90;0.98862;3.22;0.38;12.6;6 +6;0.2;0.26;1.1;0.033;38;67;0.98954;3.14;0.38;11.5;6 +7.6;0.2;0.26;4.8;0.033;26;76;0.99076;2.98;0.49;12.3;7 +6.2;0.3;0.21;1.1;0.032;31;111;0.9889;2.97;0.42;12.2;6 +6;0.29;0.25;1.4;0.033;30;114;0.98794;3.08;0.43;13.2;6 +6.6;0.18;0.28;1.7;0.041;53;161;0.99207;3.13;0.45;10.2;6 +7;0.22;0.28;10.6;0.039;32;117;0.99355;3.05;0.55;11.5;7 +6;0.29;0.25;1.4;0.033;30;114;0.98794;3.08;0.43;13.2;6 +6.2;0.3;0.21;1.1;0.032;31;111;0.9889;2.97;0.42;12.2;6 +5.6;0.15;0.26;5.55;0.051;51;139;0.99336;3.47;0.5;11;6 +6.9;0.28;0.24;2.1;0.034;49;121;0.98882;2.98;0.43;13.2;7 +5.9;0.19;0.21;1.7;0.045;57;135;0.99341;3.32;0.44;9.5;5 +7.8;0.22;0.26;9;0.047;38;132;0.997;3.25;0.53;10.2;6 +6.6;0.18;0.28;1.7;0.041;53;161;0.99207;3.13;0.45;10.2;6 +7;0.4;0.25;1.8;0.05;51;189;0.99174;3;0.55;11.4;6 +6.1;0.28;0.27;4.7;0.03;56;140;0.99042;3.16;0.42;12.5;8 +7.6;0.36;0.49;11.3;0.046;87;221;0.9984;3.01;0.43;9.2;5 +6.5;0.28;0.34;3.6;0.04;29;121;0.99111;3.28;0.48;12.1;7 +6.9;0.19;0.35;6.9;0.045;51;125;0.9933;3.1;0.44;10.7;7 +6.5;0.28;0.34;3.6;0.04;29;121;0.99111;3.28;0.48;12.1;7 +6.4;0.22;0.32;4.9;0.046;50;156;0.99316;3.38;0.55;11.2;6 +6.8;0.23;0.3;6.95;0.044;42;179;0.9946;3.25;0.56;10.6;6 +6.4;0.32;0.31;1.9;0.037;34;126;0.99;3.06;0.45;11.8;6 +6.1;0.28;0.27;4.7;0.03;56;140;0.99042;3.16;0.42;12.5;8 +7.6;0.36;0.49;11.3;0.046;87;221;0.9984;3.01;0.43;9.2;5 +8.8;0.39;0.35;1.8;0.096;22;80;0.99016;2.95;0.54;12.6;6 +6.6;0.24;0.3;11.3;0.026;11;77;0.99381;3.13;0.55;12.8;7 +6.9;0.29;0.3;8.2;0.026;35;112;0.99144;3;0.37;12.3;6 +6.9;0.28;0.3;8.3;0.026;37;113;0.99139;2.99;0.38;12.3;8 +6.7;0.38;0.26;9.55;0.036;35;91;0.9919;2.98;0.37;12.4;6 +8;0.28;0.3;8.4;0.03;35;115;0.99192;2.93;0.42;12.3;6 +6.5;0.25;0.45;7.8;0.048;52;188;0.99576;3.2;0.53;9.1;5 +6.6;0.26;0.46;7.8;0.047;48;186;0.9958;3.2;0.54;9.1;5 +7.4;0.29;0.28;10.2;0.032;43;138;0.9951;3.1;0.47;10.6;6 +6.3;0.19;0.29;5.5;0.042;44;189;0.99304;3.19;0.47;10.3;6 +6.1;0.33;0.32;7.8;0.052;52;183;0.99657;3.39;0.65;9.5;5 +5.6;0.32;0.33;7.4;0.037;25;95;0.99268;3.25;0.49;11.1;6 +7.7;0.46;0.18;3.3;0.054;18;143;0.99392;3.12;0.51;10.8;6 +8.8;0.19;0.3;5;0.028;34;120;0.99242;2.94;0.47;11.2;5 +7.7;0.46;0.18;3.3;0.054;18;143;0.99392;3.12;0.51;10.8;6 +8.8;0.27;0.25;5;0.024;52;99;0.9925;2.87;0.49;11.4;5 +5.8;0.18;0.28;1.3;0.034;9;94;0.99092;3.21;0.52;11.2;6 +5.8;0.15;0.32;1.2;0.037;14;119;0.99137;3.19;0.5;10.2;6 +5.6;0.32;0.33;7.4;0.037;25;95;0.99268;3.25;0.49;11.1;6 +6.1;0.33;0.32;7.8;0.052;52;183;0.99657;3.39;0.65;9.5;5 +7.1;0.32;0.3;9.9;0.041;63;192;0.99642;3.12;0.49;10.2;6 +6.2;0.23;0.35;0.7;0.051;24;111;0.9916;3.37;0.43;11;3 +8.9;0.3;0.35;4.6;0.032;32;148;0.99458;3.15;0.45;11.5;7 +6;0.14;0.17;5.6;0.036;37;127;0.99373;3.05;0.57;9.8;6 +6.8;0.24;0.29;9.5;0.042;56;157;0.99586;3.11;0.51;10.1;6 +6.7;0.21;0.48;14.8;0.05;31;195;0.99942;2.95;0.75;8.8;6 +8.9;0.3;0.35;4.6;0.032;32;148;0.99458;3.15;0.45;11.5;7 +6.1;0.3;0.3;2.1;0.031;50;163;0.9895;3.39;0.43;12.7;7 +7.2;0.37;0.4;11.6;0.032;34;214;0.9963;3.1;0.51;9.8;6 +6.7;0.64;0.3;1.2;0.03;18;76;0.9892;3.16;0.6;12.9;4 +7.2;0.37;0.4;11.6;0.032;34;214;0.9963;3.1;0.51;9.8;6 +6.1;0.3;0.3;2.1;0.031;50;163;0.9895;3.39;0.43;12.7;7 +7.6;0.28;0.49;20.15;0.06;30;145;1.00196;3.01;0.44;8.5;5 +6.3;0.29;0.28;4.7;0.059;28;81;0.99036;3.24;0.56;12.7;8 +6.2;0.28;0.28;4.3;0.026;22;105;0.989;2.98;0.64;13.1;8 +7.1;0.18;0.39;14.5;0.051;48;156;0.99947;3.35;0.78;9.1;5 +6.4;0.32;0.27;4.9;0.034;18;122;0.9916;3.36;0.71;12.5;6 +7.1;0.17;0.4;14.55;0.047;47;156;0.99945;3.34;0.78;9.1;6 +7.1;0.17;0.4;14.55;0.047;47;156;0.99945;3.34;0.78;9.1;6 +5.8;0.24;0.26;10.05;0.039;63;162;0.99375;3.33;0.5;11.2;6 +6.4;0.32;0.27;4.9;0.034;18;122;0.9916;3.36;0.71;12.5;6 +7.1;0.18;0.39;14.5;0.051;48;156;0.99947;3.35;0.78;9.1;5 +7.1;0.17;0.4;14.55;0.047;47;156;0.99945;3.34;0.78;9.1;6 +7.1;0.18;0.39;15.25;0.047;45;158;0.99946;3.34;0.77;9.1;6 +7.8;0.29;0.29;3.15;0.044;41;117;0.99153;3.24;0.35;11.5;5 +6.2;0.255;0.27;1.3;0.037;30;86;0.98834;3.05;0.59;12.9;7 +8.2;0.34;0.29;5.2;0.076;19;92;0.99138;2.95;0.39;12.5;6 +6.5;0.24;0.28;1.1;0.034;26;83;0.98928;3.25;0.33;12.3;6 +6.9;0.24;0.23;7.1;0.041;20;97;0.99246;3.1;0.85;11.4;6 +6.7;0.4;0.22;8.8;0.052;24;113;0.99576;3.22;0.45;9.4;5 +6.7;0.3;0.44;18.5;0.057;65;224;0.99956;3.11;0.53;9.1;5 +6.7;0.4;0.22;8.8;0.052;24;113;0.99576;3.22;0.45;9.4;5 +6.8;0.17;0.32;1.4;0.04;35;106;0.99026;3.16;0.66;12;5 +7.1;0.25;0.28;1.2;0.04;31;111;0.99174;3.18;0.53;11.1;5 +5.9;0.27;0.27;5;0.035;14;97;0.99058;3.1;0.33;11.8;7 +6;0.16;0.22;1.6;0.042;36;106;0.9905;3.24;0.32;11.4;6 +6.7;0.3;0.44;18.75;0.057;65;224;0.99956;3.11;0.53;9.1;5 +6.6;0.15;0.32;6;0.033;59;128;0.99192;3.19;0.71;12.1;8 +7.3;0.34;0.3;9.4;0.057;34;178;0.99554;3.15;0.44;10.4;6 +6;0.17;0.29;9.7;0.044;33;98;0.99536;3.12;0.36;9.2;6 +6.7;0.47;0.29;4.75;0.034;29;134;0.99056;3.29;0.46;13;7 +6.6;0.15;0.32;6;0.033;59;128;0.99192;3.19;0.71;12.1;8 +6.6;0.21;0.29;5.35;0.029;43;106;0.99112;2.93;0.43;11.5;7 +6.6;0.21;0.29;5.35;0.029;43;106;0.99112;2.93;0.43;11.5;7 +8;0.24;0.48;6.8;0.047;13;134;0.99616;3.23;0.7;10;5 +5.6;0.34;0.3;6.9;0.038;23;89;0.99266;3.25;0.49;11.1;6 +5.8;0.54;0;1.4;0.033;40;107;0.98918;3.26;0.35;12.4;5 +7.3;0.23;0.24;0.9;0.031;29;86;0.98926;2.9;0.38;12.2;6 +6;0.39;0.13;1.2;0.042;60;172;0.99114;3.06;0.52;10.6;5 +6.1;0.105;0.31;1.3;0.037;55;145;0.9912;3.41;0.41;11.1;7 +5.8;0.32;0.2;2.6;0.027;17;123;0.98936;3.36;0.78;13.9;7 +7.6;0.22;0.28;12;0.056;68;143;0.9983;2.99;0.3;9.2;6 +6.8;0.19;0.4;9.85;0.055;41;103;0.99532;2.98;0.56;10.5;6 +6.7;0.24;0.3;3.85;0.042;105;179;0.99189;3.04;0.59;11.3;8 +6.8;0.17;0.34;2;0.04;38;111;0.99;3.24;0.45;12.9;6 +6.2;0.3;0.31;1.6;0.035;40;106;0.98914;3.26;0.39;12.9;7 +6.9;0.29;0.41;7.8;0.046;52;171;0.99537;3.12;0.51;9.6;5 +6.8;0.19;0.34;1.9;0.04;41;108;0.99;3.25;0.45;12.9;6 +6.8;0.17;0.34;2;0.04;38;111;0.99;3.24;0.45;12.9;6 +6.6;0.24;0.27;10.3;0.047;54;219;0.99742;3.04;0.45;8.8;5 +6.6;0.16;0.36;1.1;0.031;27;93;0.98884;3.23;0.34;13.2;8 +7.6;0.22;0.28;12;0.056;68;143;0.9983;2.99;0.3;9.2;6 +6.7;0.24;0.3;3.85;0.042;105;179;0.99189;3.04;0.59;11.3;8 +6.8;0.19;0.4;9.85;0.055;41;103;0.99532;2.98;0.56;10.5;6 +6.7;0.16;0.36;2;0.045;24;131;0.99284;3.3;0.59;10.5;6 +6.5;0.3;0.27;4;0.038;37;97;0.99026;3.2;0.6;12.6;8 +6.5;0.22;0.19;1.1;0.064;36;191;0.99297;3.05;0.5;9.5;6 +6.2;0.36;0.45;10.4;0.06;22;184;0.99711;3.31;0.56;9.8;6 +6.2;0.37;0.24;6.1;0.032;19;86;0.98934;3.04;0.26;13.4;8 +7.6;0.31;0.24;1.8;0.037;39;150;0.9913;3.05;0.44;11.8;7 +6.2;0.36;0.45;10.4;0.06;22;184;0.99711;3.31;0.56;9.8;6 +5.9;0.32;0.28;4.7;0.039;34;94;0.98964;3.22;0.57;13.1;7 +6.5;0.3;0.27;4;0.038;37;97;0.99026;3.2;0.6;12.6;8 +5.8;0.22;0.3;1.1;0.047;36;131;0.992;3.26;0.45;10.4;5 +5.4;0.45;0.27;6.4;0.033;20;102;0.98944;3.22;0.27;13.4;8 +6.1;0.36;0.26;8.15;0.035;14;88;0.99031;3.06;0.27;13;7 +6.2;0.37;0.24;6.1;0.032;19;86;0.98934;3.04;0.26;13.4;8 +7.5;0.21;0.32;4.8;0.056;39;113;0.99393;3.11;0.52;10.2;7 +6.9;0.28;0.33;1.2;0.039;16;98;0.9904;3.07;0.39;11.7;6 +6.5;0.22;0.19;1.1;0.064;36;191;0.99297;3.05;0.5;9.5;6 +7.8;0.2;0.2;1.4;0.036;25;83;0.99088;3.03;0.46;11.7;6 +6.7;0.28;0.31;7.4;0.041;7;81;0.99254;3.04;0.47;11.4;8 +7.6;0.31;0.24;1.8;0.037;39;150;0.9913;3.05;0.44;11.8;7 +8;0.2;0.44;1;0.057;24;111;0.99158;3.09;0.32;11.2;6 +6;0.28;0.27;15.5;0.036;31;134;0.99408;3.19;0.44;13;7 +6;0.28;0.27;15.5;0.036;31;134;0.99408;3.19;0.44;13;7 +6.7;0.24;0.36;8.4;0.042;42;123;0.99473;3.34;0.52;10.9;6 +6.3;0.22;0.28;2.4;0.042;38;102;0.98998;3.14;0.37;11.6;7 +6;0.24;0.28;3.95;0.038;61;134;0.99146;3.3;0.54;11.3;7 +7.7;0.43;1;19.95;0.032;42;164;0.99742;3.29;0.5;12;6 +6.4;0.3;0.36;2;0.052;18;141;0.99273;3.38;0.53;10.5;6 +6.1;0.33;0.3;3;0.036;30;124;0.98922;3.31;0.4;13.1;7 +6;0.28;0.27;15.5;0.036;31;134;0.99408;3.19;0.44;13;7 +6.7;0.24;0.36;8.4;0.042;42;123;0.99473;3.34;0.52;10.9;6 +6.7;0.29;0.45;14.3;0.054;30;181;0.99869;3.14;0.57;9.1;5 +6.9;0.33;0.31;4.2;0.04;21;93;0.9896;3.18;0.48;13.4;7 +6.5;0.16;0.34;1.4;0.029;29;133;0.99108;3.33;0.64;11.5;7 +6;0.2;0.32;3;0.031;26;118;0.99134;3.38;0.68;11.2;7 +7.5;0.33;0.28;4.9;0.042;21;155;0.99385;3.36;0.57;10.9;6 +7.1;0.36;0.28;2.4;0.036;35;115;0.98936;3.19;0.44;13.5;7 +6.7;0.29;0.45;14.3;0.054;30;181;0.99869;3.14;0.57;9.1;5 +6.4;0.26;0.25;10.7;0.046;66;179;0.99606;3.17;0.55;9.9;6 +7;0.22;0.24;11;0.041;75;167;0.99508;2.98;0.56;10.5;6 +6.5;0.19;0.28;1.4;0.046;22;90;0.99038;3.18;0.51;11.7;7 +6.3;0.21;0.31;1.2;0.043;30;117;0.99158;3.49;0.68;11;6 +7.9;0.35;0.28;12.9;0.032;13;63;0.9932;2.99;0.43;13;6 +7.7;0.38;0.23;10.8;0.03;28;95;0.99164;2.93;0.41;13.6;6 +6.8;0.19;0.33;1.3;0.031;22;87;0.98987;3.08;0.62;12.3;7 +7.2;0.33;0.34;2;0.044;61;171;0.98947;3.25;0.53;13.3;7 +6.6;0.29;0.29;1.8;0.036;38;102;0.98819;3.08;0.42;13.7;7 +7.5;0.2;0.41;1.2;0.05;26;131;0.99133;3.19;0.52;11.1;5 +6.9;0.33;0.62;7.5;0.038;46;132;0.99143;3.23;0.43;13.4;7 +6;0.23;0.15;9.7;0.048;101;207;0.99571;3.05;0.3;9.1;5 +5.9;0.23;0.24;3.8;0.038;61;152;0.99139;3.31;0.5;11.3;7 +6.6;0.32;0.41;7.2;0.048;55;178;0.99537;3.2;0.46;9.4;5 +6;0.23;0.15;9.7;0.048;101;207;0.99571;3.05;0.3;9.1;5 +5.3;0.36;0.27;6.3;0.028;40;132;0.99186;3.37;0.4;11.6;6 +5.3;0.36;0.27;6.3;0.028;40;132;0.99186;3.37;0.4;11.6;6 +8.9;0.27;0.28;0.8;0.024;29;128;0.98984;3.01;0.35;12.4;6 +7.6;0.23;0.29;8.6;0.053;65;146;0.9963;3.11;0.32;9.8;6 +6.9;0.75;0.13;6.3;0.036;19;50;0.99312;3.09;0.25;11.1;4 +7.1;0.35;0.27;3.1;0.034;28;134;0.9897;3.26;0.38;13.1;7 +7.2;0.31;0.35;7.2;0.046;45;178;0.9955;3.14;0.53;9.7;5 +6.4;0.28;0.44;7.1;0.048;49;179;0.99528;3.15;0.48;9.2;5 +7.2;0.23;0.46;6.4;0.036;17;85;0.99279;3.1;0.78;11.7;6 +6.6;0.22;0.3;14.7;0.045;50;136;0.99704;3.14;0.37;10.6;6 +7.2;0.31;0.35;7.2;0.046;45;178;0.9955;3.14;0.53;9.7;5 +6.4;0.28;0.44;7.1;0.048;49;179;0.99528;3.15;0.48;9.2;5 +7.2;0.24;0.28;1.9;0.032;30;92;0.9914;3.1;0.39;10.9;6 +6.2;0.27;0.47;1.2;0.146;28;105;0.99224;3.23;0.51;10.1;5 +6.5;0.28;0.25;4.8;0.029;54;128;0.99074;3.17;0.44;12.2;7 +7.2;0.27;0.31;1.2;0.031;27;80;0.98892;3.03;0.33;12.7;6 +7.8;0.28;0.25;3.4;0.024;27;99;0.98959;2.98;0.37;13;6 +8.1;0.26;0.27;4.3;0.03;43;123;0.99212;3.16;0.33;11.2;6 +6.6;0.23;0.37;8.5;0.036;46;153;0.99576;3.2;0.48;9.4;6 +6;0.33;0.2;1.8;0.031;49;159;0.9919;3.41;0.53;11;6 +6;0.33;0.2;1.8;0.031;49;159;0.9919;3.41;0.53;11;6 +7.3;0.2;0.29;19.5;0.039;69;237;1.00037;3.1;0.48;9.2;6 +6.6;0.23;0.37;8.5;0.036;46;153;0.99576;3.2;0.48;9.4;6 +7.3;0.2;0.29;19.9;0.039;69;237;1.00037;3.1;0.48;9.2;6 +6.2;0.47;0.19;8.3;0.029;24;142;0.992;3.22;0.45;12.3;6 +6;0.33;0.2;1.8;0.031;49;159;0.9919;3.41;0.53;11;6 +7.2;0.14;0.32;1.1;0.022;48;116;0.99218;3.04;0.67;10;6 +5.7;0.22;0.22;16.65;0.044;39;110;0.99855;3.24;0.48;9;6 +5.7;0.22;0.22;16.65;0.044;39;110;0.99855;3.24;0.48;9;6 +5.7;0.22;0.22;16.65;0.044;39;110;0.99855;3.24;0.48;9;6 +8.1;0.2;0.28;0.9;0.023;49;87;0.99062;2.92;0.36;11.1;6 +5.8;0.14;0.15;6.1;0.042;27;123;0.99362;3.06;0.6;9.9;6 +4.8;0.21;0.21;10.2;0.037;17;112;0.99324;3.66;0.48;12.2;7 +8.1;0.2;0.28;0.9;0.023;49;87;0.99062;2.92;0.36;11.1;6 +5.7;0.22;0.22;16.65;0.044;39;110;0.99855;3.24;0.48;9;6 +7.5;0.34;0.24;3.85;0.031;5;34;0.99098;3.01;0.36;11.8;4 +6.6;0.64;0.28;4.4;0.032;19;78;0.99036;3.11;0.62;12.9;6 +7;0.48;0.12;4.5;0.05;23;86;0.99398;2.86;0.35;9;5 +7.6;0.37;0.34;3.2;0.028;42;162;0.9903;3.01;0.33;12.4;6 +7;0.48;0.12;4.5;0.05;23;86;0.99398;2.86;0.35;9;5 +6.6;0.64;0.28;4.4;0.032;19;78;0.99036;3.11;0.62;12.9;6 +8;0.25;0.27;9.7;0.036;15;85;0.99406;2.99;0.36;11.2;6 +7.6;0.38;0.28;4.2;0.029;7;112;0.9906;3;0.41;12.6;6 +6.9;0.26;0.27;4.2;0.031;20;80;0.99089;3.12;0.39;11.5;6 +7.8;0.15;0.34;1.1;0.035;31;93;0.99096;3.07;0.72;11.3;7 +8;0.25;0.27;9.7;0.036;15;85;0.99406;2.99;0.36;11.2;6 +6.9;0.26;0.27;4.2;0.031;20;80;0.99089;3.12;0.39;11.5;6 +5.9;0.655;0;5.6;0.033;8;31;0.9936;3.32;0.51;10.5;4 +7.6;0.38;0.28;4.2;0.029;7;112;0.9906;3;0.41;12.6;6 +7.8;0.31;0.4;1.6;0.027;20;87;0.9911;3.15;0.48;11.9;6 +8.1;0.17;0.21;1.6;0.036;24;119;0.99396;3.18;0.52;10.1;6 +6.8;0.18;0.28;1.1;0.027;32;112;0.99089;3.15;0.45;11;7 +7.4;0.28;0.36;14.6;0.048;35;161;0.9968;3.14;0.56;10.6;5 +7.3;0.23;0.27;2.6;0.035;39;120;0.99138;3.04;0.59;11.3;7 +6.7;0.22;0.22;1.2;0.038;5;124;0.99098;3.1;0.37;11.2;4 +7.4;0.25;0.28;7.25;0.028;14;78;0.99238;2.94;0.37;11.5;7 +7.5;0.3;0.21;6.55;0.026;33;143;0.99244;2.92;0.35;11.1;5 +7.2;0.26;0.24;7;0.023;19;130;0.99176;3.14;0.49;12.8;7 +6.3;0.32;0.32;1.5;0.037;12;76;0.98993;3.3;0.46;12.3;6 +7.7;0.24;0.3;1.4;0.041;15;102;0.9929;3.26;0.53;10.4;6 +7.4;0.25;0.28;7.25;0.028;14;78;0.99238;2.94;0.37;11.5;7 +7;0.24;0.35;1;0.032;42;104;0.98988;3.16;0.37;11.7;7 +5.8;0.28;0.28;4.2;0.044;52;158;0.992;3.35;0.44;10.7;7 +6.8;0.19;0.71;17.5;0.042;21;114;0.99784;2.85;0.5;9.5;6 +6.8;0.19;0.71;17.5;0.042;21;114;0.99784;2.85;0.5;9.5;6 +6.8;0.19;0.71;17.5;0.042;21;114;0.99784;2.85;0.5;9.5;6 +6.6;0.19;0.35;1.5;0.037;37;107;0.99006;3.18;0.68;12;7 +6.4;0.28;0.36;1.3;0.053;28;186;0.99211;3.31;0.45;10.8;5 +5.6;0.28;0.27;3.9;0.043;52;158;0.99202;3.35;0.44;10.7;7 +5.6;0.28;0.28;4.2;0.044;52;158;0.992;3.35;0.44;10.7;7 +6.8;0.19;0.32;7.6;0.049;37;107;0.99332;3.12;0.44;10.7;7 +7.2;0.16;0.29;1;0.031;40;123;0.98958;3.12;0.4;12.1;7 +6.6;0.17;0.28;1.1;0.034;55;108;0.98939;3;0.52;11.9;7 +6.6;0.19;0.28;11.8;0.042;54;137;0.99492;3.18;0.37;10.8;6 +5.8;0.2;0.24;1.4;0.033;65;169;0.99043;3.59;0.56;12.3;7 +6.6;0.39;0.38;9.7;0.053;49;226;0.99787;3.3;0.57;9.4;6 +6.8;0.12;0.3;12.9;0.049;32;88;0.99654;3.2;0.35;9.9;6 +6.6;0.295;0.24;1.6;0.039;29;140;0.99304;3.35;0.61;10.4;7 +6.6;0.26;0.24;7.2;0.038;28;137;0.9952;3.35;0.6;10.4;6 +7;0.32;0.27;7.1;0.027;37;122;0.99165;3.15;0.6;12.6;7 +7.4;0.36;0.23;1.9;0.017;31;69;0.9892;2.93;0.36;12.5;6 +6.7;0.35;0.48;8.8;0.056;35;167;0.99628;3.04;0.47;9.4;5 +6.4;0.38;0.24;7.2;0.047;41;151;0.99604;3.11;0.6;9.2;5 +6.8;0.14;0.18;1.4;0.047;30;90;0.99164;3.27;0.54;11.2;6 +7;0.16;0.25;14.3;0.044;27;149;0.998;2.91;0.46;9.2;6 +7;0.16;0.25;14.3;0.044;27;149;0.998;2.91;0.46;9.2;6 +6.7;0.35;0.48;8.8;0.056;35;167;0.99628;3.04;0.47;9.4;5 +6.8;0.14;0.18;1.4;0.047;30;90;0.99164;3.27;0.54;11.2;6 +6.8;0.16;0.18;1.8;0.046;31;114;0.99226;3.27;0.55;10.8;6 +7;0.16;0.25;14.3;0.044;27;149;0.998;2.91;0.46;9.2;6 +6.4;0.38;0.24;7.2;0.047;41;151;0.99604;3.11;0.6;9.2;5 +7.2;0.24;0.3;1.2;0.037;11;95;0.98914;2.96;0.36;12.5;6 +7.7;0.32;0.61;11.8;0.041;66;188;0.99794;3;0.54;9.3;5 +7;0.29;0.33;0.9;0.041;20;117;0.99048;3.21;0.5;11.4;5 +7.1;0.27;0.24;12.6;0.044;48;118;0.99726;3.04;0.56;10;7 +6.8;0.45;0.28;26.05;0.031;27;122;1.00295;3.06;0.42;10.6;6 +6.3;0.2;0.26;4.7;0.04;108;168;0.99278;3.07;0.75;10.7;7 +7.1;0.27;0.24;12.6;0.044;48;118;0.99726;3.04;0.56;10;7 +7.2;0.24;0.3;1.2;0.037;11;95;0.98914;2.96;0.36;12.5;6 +6.8;0.45;0.28;26.05;0.031;27;122;1.00295;3.06;0.42;10.6;6 +6.6;0.36;0.28;6.1;0.029;12;93;0.99054;3.19;0.27;12.8;7 +7.7;0.32;0.61;11.8;0.041;66;188;0.99794;3;0.54;9.3;5 +7;0.29;0.33;0.9;0.041;20;117;0.99048;3.21;0.5;11.4;5 +6.4;0.37;0.2;5.6;0.117;61;183;0.99459;3.24;0.43;9.5;5 +6.4;0.38;0.2;5.3;0.117;57;181;0.99459;3.24;0.43;9.5;6 +6.4;0.36;0.2;5.7;0.118;61;172;0.9946;3.24;0.43;9.5;6 +6.6;0.3;0.25;8;0.036;21;124;0.99362;3.06;0.38;10.8;6 +6.6;0.3;0.25;8;0.036;21;124;0.99362;3.06;0.38;10.8;6 +6.5;0.21;0.51;17.6;0.045;34;125;0.99966;3.2;0.47;8.8;6 +6.6;0.3;0.25;8;0.036;21;124;0.99362;3.06;0.38;10.8;6 +7.6;0.31;0.27;8.8;0.021;57;156;0.99442;3.08;0.38;11;7 +5.8;0.58;0;1.5;0.02;33;96;0.98918;3.29;0.38;12.4;6 +6.5;0.26;0.39;1.4;0.02;12;66;0.99089;3.25;0.75;11.3;7 +8.7;0.3;0.34;4.8;0.018;23;127;0.99474;3.12;0.49;11.2;7 +6.4;0.29;0.32;2.4;0.014;34;89;0.99008;3.24;0.66;12.5;7 +6.7;0.13;0.32;3.7;0.017;32;99;0.99348;3.12;0.44;10;6 +6.8;0.19;0.33;4.9;0.047;42;130;0.99283;3.12;0.56;11;6 +6;0.25;0.4;5.7;0.052;56;152;0.99398;3.16;0.88;10.5;6 +6;0.25;0.4;5.7;0.052;56;152;0.99398;3.16;0.88;10.5;6 +6.8;0.19;0.33;4.9;0.047;42;130;0.99283;3.12;0.56;11;6 +6.4;0.24;0.23;2;0.046;30;133;0.9908;3.12;0.54;11.4;7 +5.9;0.18;0.28;5.1;0.039;50;139;0.99165;3.16;0.44;11.3;6 +7.2;0.33;0.22;4.5;0.031;10;73;0.99076;2.97;0.52;12.2;7 +6.4;0.29;0.24;3.2;0.037;31;95;0.98942;2.9;0.66;12.6;7 +7.3;0.31;0.25;6.65;0.032;30;138;0.99244;2.9;0.37;11.1;5 +7;0.29;0.37;1.6;0.035;34;126;0.99058;3.26;0.47;12.3;6 +6.9;0.19;0.6;4;0.037;6;122;0.99255;2.92;0.59;10.4;4 +6.3;0.32;0.17;17.75;0.06;51;190;0.99916;3.13;0.48;8.8;6 +6.6;0.085;0.33;1.4;0.036;17;109;0.99306;3.27;0.61;9.5;6 +6.3;0.32;0.17;17.75;0.06;51;190;0.99916;3.13;0.48;8.8;6 +6.8;0.18;0.32;7.2;0.047;17;109;0.99498;3.42;0.44;10.4;6 +6.8;0.52;0.26;5.7;0.038;27;130;0.99;3.11;0.27;13;7 +7.1;0.28;0.28;8.5;0.03;25;191;0.99338;3.16;0.46;12.2;7 +5.7;0.15;0.47;11.4;0.035;49;128;0.99456;3.03;0.34;10.5;8 +5.8;0.275;0.3;5.4;0.043;41;149;0.9926;3.33;0.42;10.8;7 +5.4;0.53;0.16;2.7;0.036;34;128;0.98856;3.2;0.53;13.2;8 +5.8;0.32;0.28;4.3;0.032;46;115;0.98946;3.16;0.57;13;8 +6.7;0.22;0.39;1.2;0.049;26;152;0.99346;3.5;0.47;10;6 +6.1;0.6;0.12;1.8;0.05;11;76;0.99268;3.42;0.48;10.4;4 +6.5;0.26;0.31;1.3;0.034;59;145;0.98944;3.16;0.54;12.4;6 +5;0.29;0.54;5.7;0.035;54;155;0.98976;3.27;0.34;12.9;8 +5.4;0.53;0.16;2.7;0.036;34;128;0.98856;3.2;0.53;13.2;8 +6.8;0.21;0.26;11.7;0.038;61;152;0.99523;3.02;0.56;10.5;7 +5.8;0.32;0.28;4.3;0.032;46;115;0.98946;3.16;0.57;13;8 +6.5;0.27;0.26;11;0.03;2;82;0.99402;3.07;0.36;11.2;5 +5.9;0.37;0.32;1.6;0.029;41;102;0.98916;3.41;0.55;12.7;7 +6.2;0.21;0.18;11.6;0.044;61;155;0.99655;3.14;0.52;9.4;6 +6.8;0.3;0.29;6.2;0.025;29;95;0.99071;3.03;0.32;12.9;7 +7.3;0.41;0.29;1.8;0.032;26;74;0.98889;2.96;0.35;13;8 +5.4;0.3;0.3;1.2;0.029;25;93;0.98742;3.31;0.4;13.6;7 +6.6;0.34;0.2;1;0.053;26;112;0.99336;3.32;0.55;9.1;5 +5.6;0.25;0.19;2.4;0.049;42;166;0.992;3.25;0.43;10.4;6 +5.3;0.3;0.3;1.2;0.029;25;93;0.98742;3.31;0.4;13.6;7 +6.9;0.58;0.58;8.2;0.032;29;169;0.99275;3.28;0.44;12.2;6 +7.2;0.23;0.25;18.8;0.085;19;111;1.00044;3.1;0.51;8.7;5 +7.1;0.2;0.27;9.6;0.037;19;105;0.99444;3.04;0.37;10.5;7 +6.8;0.15;0.41;12.9;0.044;79.5;183;0.99742;3.24;0.78;10.2;6 +7;0.22;0.26;9.2;0.027;37;122;0.99228;3.06;0.34;12.5;8 +6.4;0.16;0.44;1.2;0.051;39;122;0.99058;3.11;0.75;11.3;7 +6.8;0.15;0.41;12.9;0.044;79.5;183;0.99742;3.24;0.78;10.2;6 +6.8;0.31;0.3;8;0.028;33;122;0.99164;3.13;0.63;12.6;7 +6.8;0.15;0.41;12.9;0.044;79.5;183;0.99742;3.24;0.78;10.2;6 +7.6;0.3;0.37;1.6;0.087;27;177;0.99438;3.09;0.5;9.8;5 +6;0.16;0.27;12;0.03;39;98;0.99402;3.15;0.34;10.8;5 +7.1;0.21;0.35;2.5;0.04;41;186;0.99128;3.32;0.56;12.5;6 +7;0.22;0.26;9.2;0.027;37;122;0.99228;3.06;0.34;12.5;8 +5.6;0.21;0.24;4.4;0.027;37;150;0.991;3.3;0.31;11.5;7 +7.4;0.22;0.26;8.8;0.027;23;112;0.9931;2.98;0.41;11.4;6 +7.1;0.2;0.27;9.6;0.037;19;105;0.99444;3.04;0.37;10.5;7 +6.8;0.31;0.3;8;0.028;33;122;0.99164;3.13;0.63;12.6;7 +7.2;0.23;0.25;18.8;0.085;19;111;1.00044;3.1;0.51;8.7;5 +6.4;0.15;0.4;1.3;0.053;61;146;0.99112;3.17;0.68;11;6 +6.4;0.16;0.44;1.2;0.051;39;122;0.99058;3.11;0.75;11.3;7 +6.8;0.15;0.41;12.9;0.044;79.5;182;0.99742;3.24;0.78;10.2;6 +6.3;0.22;0.34;1.2;0.036;32;96;0.98961;3.06;0.74;11.6;6 +7.6;0.3;0.37;1.6;0.087;27;177;0.99438;3.09;0.5;9.8;5 +7;0.3;0.27;1.5;0.076;24;145;0.99344;3.1;0.52;10.1;5 +6.6;0.26;0.22;18.15;0.05;23;139;0.99904;3.06;0.5;9.2;5 +7.5;0.24;0.31;13.1;0.05;26;180;0.99884;3.05;0.53;9.1;6 +7.5;0.24;0.31;13.1;0.05;26;180;0.99884;3.05;0.53;9.1;6 +7.5;0.24;0.31;13.1;0.05;26;180;0.99884;3.05;0.53;9.1;6 +7.5;0.24;0.31;13.1;0.05;26;180;0.99884;3.05;0.53;9.1;6 +6.6;0.15;0.34;1;0.037;45;79;0.98949;2.96;0.5;11.7;6 +6.7;0.34;0.43;1.6;0.041;29;114;0.99014;3.23;0.44;12.6;6 +7.7;0.35;0.46;11.8;0.088;61;183;0.99786;2.86;0.47;9;5 +6.7;0.31;0.09;1.4;0.039;53;141;0.99206;3.12;0.44;10.1;5 +4.7;0.67;0.09;1;0.02;5;9;0.98722;3.3;0.34;13.6;5 +7.5;0.24;0.31;13.1;0.05;26;180;0.99884;3.05;0.53;9.1;6 +6.3;0.2;0.18;10.6;0.045;57;159;0.99666;3.09;0.54;9.2;5 +6.6;0.28;0.23;10.4;0.049;45;190;0.99754;3.12;0.51;8.8;5 +8.5;0.18;0.3;1.1;0.028;34;95;0.99272;2.83;0.36;10;4 +6.5;0.35;0.38;7.4;0.036;20;196;0.99712;3.47;0.48;9.1;6 +6.8;0.22;0.26;1.2;0.041;29;182;0.99104;3.04;0.35;11.2;5 +6.3;0.18;0.24;3.4;0.053;20;119;0.99373;3.11;0.52;9.2;6 +6.6;0.26;0.22;18.15;0.05;23;139;0.99904;3.06;0.5;9.2;5 +6.6;0.3;0.45;8;0.038;54;200;0.9956;3.18;0.48;9.5;5 +6.3;0.34;0.27;2.5;0.024;40;152;0.99095;3.35;0.6;11.9;7 +7.7;0.3;0.23;2;0.068;28;138;0.99382;3.11;0.62;9.8;5 +7.7;0.31;0.23;2;0.069;29;134;0.99382;3.11;0.62;9.8;5 +5.7;0.265;0.28;6.9;0.036;46;150;0.99299;3.36;0.44;10.8;7 +5.4;0.255;0.33;1.2;0.051;29;122;0.99048;3.37;0.66;11.3;6 +6.6;0.26;0.28;9.4;0.028;13;121;0.99254;3.17;0.34;12.1;6 +4.8;0.17;0.28;2.9;0.03;22;111;0.9902;3.38;0.34;11.3;7 +5.7;0.265;0.28;6.9;0.036;46;150;0.99299;3.36;0.44;10.8;7 +6.2;0.2;0.33;5.4;0.028;21;75;0.99012;3.36;0.41;13.5;7 +7.5;0.28;0.41;1.3;0.044;11;126;0.99293;3.28;0.45;10.3;5 +6.2;0.22;0.2;20.8;0.035;58;184;1.00022;3.11;0.53;9;6 +7;0.34;0.26;10.3;0.041;51;166;0.99382;3.08;0.35;11.6;6 +7.5;0.28;0.41;1.3;0.044;11;126;0.99293;3.28;0.45;10.3;5 +6.5;0.19;0.34;1.6;0.029;39;116;0.98954;3.21;0.68;12.5;6 +6;0.21;0.29;13.1;0.042;28;125;0.99936;3.39;0.45;8.6;5 +6.1;0.22;0.46;1.8;0.16;34;74;0.9884;3.19;0.33;13.4;6 +6.5;0.32;0.48;8;0.026;18;88;0.99144;3.22;0.79;12.7;4 +7.1;0.21;0.72;1.6;0.167;65;120;0.99324;2.97;0.51;9.2;5 +5.6;0.26;0.18;1.4;0.034;18;135;0.99174;3.32;0.35;10.2;6 +7;0.15;0.28;14.7;0.051;29;149;0.99792;2.96;0.39;9;7 +7;0.15;0.28;14.7;0.051;29;149;0.99792;2.96;0.39;9;7 +7;0.15;0.28;14.7;0.051;29;149;0.99792;2.96;0.39;9;7 +7;0.15;0.28;14.7;0.051;29;149;0.99792;2.96;0.39;9;7 +7;0.15;0.28;14.7;0.051;29;149;0.99792;2.96;0.39;9;7 +7;0.15;0.28;14.7;0.051;29;149;0.99792;2.96;0.39;9;7 +7;0.15;0.28;14.7;0.051;29;149;0.99792;2.96;0.39;9;7 +7.4;0.27;0.28;1.8;0.04;45;121;0.99043;3.02;0.4;11.9;5 +6.8;0.22;0.3;10.6;0.07;67;194;0.99654;2.89;0.42;9;6 +6.2;0.24;0.25;12.5;0.055;47;134;0.99758;3.3;0.51;9;5 +6.3;0.28;0.29;6.8;0.051;40;143;0.99374;3.43;0.59;11;6 +7;0.15;0.28;14.7;0.051;29;149;0.99792;2.96;0.39;9;7 +5.5;0.17;0.23;2.9;0.039;10;108;0.99243;3.28;0.5;10;5 +6.5;0.26;0.34;1.4;0.04;25;184;0.99216;3.29;0.46;10.7;5 +6.6;0.27;0.33;1.4;0.042;24;183;0.99215;3.29;0.46;10.7;5 +5.4;0.46;0.15;2.1;0.026;29;130;0.98953;3.39;0.77;13.4;8 +7.8;0.19;0.32;7.4;0.015;47;124;0.99278;2.99;0.39;11;6 +5.5;0.17;0.23;2.9;0.039;10;108;0.99243;3.28;0.5;10;5 +6.5;0.26;0.34;1.4;0.04;25;184;0.99216;3.29;0.46;10.7;5 +6.6;0.27;0.33;1.4;0.042;24;183;0.99215;3.29;0.46;10.7;5 +7.8;0.19;0.32;7.4;0.015;47;124;0.99278;2.99;0.39;11;6 +7.8;0.2;0.32;5;0.016;31;101;0.99186;2.99;0.39;11;6 +6.1;0.17;0.28;2.5;0.028;22;98;0.99072;3.16;0.37;11.1;7 +7.4;0.2;0.35;6.1;0.025;10;40;0.99244;2.79;0.52;10.9;5 +6.7;0.39;0.24;2.7;0.017;22;80;0.99084;3.03;0.37;11.5;5 +5.4;0.46;0.15;2.1;0.026;29;130;0.98953;3.39;0.77;13.4;8 +6.9;0.4;0.17;12.9;0.033;59;186;0.99754;3.08;0.49;9.4;5 +6.9;0.4;0.17;12.9;0.033;59;186;0.99754;3.08;0.49;9.4;5 +6.9;0.4;0.17;12.9;0.033;59;186;0.99754;3.08;0.49;9.4;5 +6.3;0.24;0.29;13.7;0.035;53;134;0.99567;3.17;0.38;10.6;6 +6.9;0.4;0.17;12.9;0.033;59;186;0.99754;3.08;0.49;9.4;5 +7.4;0.27;0.31;2.4;0.014;15;143;0.99094;3.03;0.65;12;4 +6.1;0.27;0.28;9.8;0.042;61;125;0.99532;3.14;0.42;10.2;6 +6.3;0.24;0.29;13.7;0.035;53;134;0.99567;3.17;0.38;10.6;6 +5;0.61;0.12;1.3;0.009;65;100;0.9874;3.26;0.37;13.5;5 +6.7;0.42;0.39;12.1;0.04;61;248;0.99794;3.31;0.58;9.7;5 +6.5;0.33;0.28;6.1;0.018;41;103;0.99122;3.24;0.32;12.2;6 +6.9;0.33;0.31;7.7;0.04;29;135;0.99226;3.11;0.57;12.3;5 +6.5;0.33;0.28;6.1;0.018;41;103;0.99122;3.24;0.32;12.2;6 +6.3;0.15;0.3;1.4;0.022;38;100;0.99099;3.42;0.57;11.4;7 +6.5;0.32;0.45;7.7;0.022;31;97;0.99134;3.2;0.7;12.7;7 +6.7;0.42;0.39;12.1;0.04;61;248;0.99794;3.31;0.58;9.7;5 +7.4;0.25;0.29;6.8;0.02;31;113;0.99338;3.13;0.29;10.8;6 +7.6;0.27;0.3;9.2;0.018;23;96;0.9938;3.08;0.29;11;6 +6.4;0.27;0.45;8.3;0.05;52;196;0.9955;3.18;0.48;9.5;5 +6.5;0.25;0.27;17.4;0.064;29;140;0.99776;3.2;0.49;10.1;6 +5.6;0.19;0.31;2.7;0.027;11;100;0.98964;3.46;0.4;13.2;7 +7.4;0.29;0.48;12.8;0.037;61.5;182;0.99808;3.02;0.34;8.8;5 +6.4;0.34;0.44;8.2;0.043;54;201;0.99551;3.18;0.48;9.5;5 +6.6;0.27;0.52;8.1;0.044;53;202;0.99548;3.18;0.48;9.5;5 +6.6;0.26;0.52;8.2;0.047;52;191;0.99541;3.16;0.47;9.5;6 +6.4;0.27;0.45;8.3;0.05;52;196;0.9955;3.18;0.48;9.5;5 +6.5;0.26;0.5;8;0.051;46;197;0.99536;3.18;0.47;9.5;5 +6.8;0.25;0.3;11.8;0.043;53;133;0.99524;3.03;0.58;10.4;6 +6.3;0.32;0.26;12;0.049;63;170;0.9961;3.14;0.55;9.9;6 +5.5;0.24;0.45;1.7;0.046;22;113;0.99224;3.22;0.48;10;5 +6.5;0.25;0.27;17.4;0.064;29;140;0.99776;3.2;0.49;10.1;6 +6.6;0.13;0.29;13.9;0.056;33;95;0.99702;3.17;0.39;9.4;6 +7;0.39;0.21;10.7;0.098;13;91;0.99657;3.03;0.47;9.3;5 +7.9;0.21;0.39;2;0.057;21;138;0.99176;3.05;0.52;10.9;5 +7;0.3;0.28;2.2;0.042;21;177;0.99166;3.2;0.57;11.4;5 +8.1;0.2;0.3;1.3;0.036;7;49;0.99242;2.99;0.73;10.3;5 +8.3;0.18;0.3;1.1;0.033;20;57;0.99109;3.02;0.51;11;6 +7.9;0.21;0.39;2;0.057;21;138;0.99176;3.05;0.52;10.9;5 +7.2;0.17;0.34;6.4;0.042;16;111;0.99278;2.99;0.4;10.8;6 +8.1;0.2;0.3;1.3;0.036;7;49;0.99242;2.99;0.73;10.3;5 +8.3;0.18;0.3;1.1;0.033;20;57;0.99109;3.02;0.51;11;6 +7;0.39;0.21;10.7;0.098;13;91;0.99657;3.03;0.47;9.3;5 +6.8;0.21;0.62;6.4;0.041;7;113;0.99358;2.96;0.59;10.2;5 +6.9;0.21;0.62;6.3;0.042;7;109;0.99358;2.96;0.59;10.2;6 +7.2;0.17;0.34;6.4;0.042;16;111;0.99278;2.99;0.4;10.8;6 +6.8;0.26;0.34;15.1;0.06;42;162;0.99705;3.24;0.52;10.5;3 +7.2;0.28;0.38;2;0.052;23;156;0.9912;3.13;0.52;11.1;5 +7.9;0.21;0.39;2;0.057;21;138;0.99176;3.05;0.52;10.9;5 +7;0.3;0.28;2.2;0.042;21;177;0.99166;3.2;0.57;11.4;5 +7.4;0.34;0.28;12.1;0.049;31;149;0.99677;3.22;0.49;10.3;5 +6.3;0.43;0.32;8.8;0.042;18;106;0.99172;3.28;0.33;12.9;7 +6.8;0.41;0.3;8.8;0.045;28;131;0.9953;3.12;0.59;9.9;5 +6.3;0.4;0.24;5.1;0.036;43;131;0.99186;3.24;0.44;11.3;6 +5.1;0.35;0.26;6.8;0.034;36;120;0.99188;3.38;0.4;11.5;6 +5.1;0.35;0.26;6.8;0.034;36;120;0.99188;3.38;0.4;11.5;6 +6.3;0.3;0.2;3.7;0.039;34;132;0.99158;3;0.38;10.7;5 +6.9;0.28;0.28;12.2;0.042;52;139;0.99522;3.03;0.56;10.4;6 +7;0.33;0.28;5.7;0.033;39;204;0.99176;3.17;0.64;12.5;6 +6.7;0.26;0.49;8.1;0.052;48;197;0.99558;3.19;0.48;9.5;5 +7.3;0.24;0.3;2.5;0.042;31;104;0.9911;3.05;0.56;11.3;7 +6.7;0.46;0.21;4;0.034;12;88;0.99016;3.26;0.54;13;6 +5.1;0.35;0.26;6.8;0.034;36;120;0.99188;3.38;0.4;11.5;6 +5.1;0.23;0.18;1;0.053;13;99;0.98956;3.22;0.39;11.5;5 +6.3;0.4;0.24;5.1;0.036;43;131;0.99186;3.24;0.44;11.3;6 +7.1;0.44;0.23;5.8;0.035;24;100;0.99062;3.15;0.57;13.2;7 +4.8;0.26;0.23;10.6;0.034;23;111;0.99274;3.46;0.28;11.5;7 +6.8;0.31;0.19;3.5;0.086;30;130;0.993;2.83;0.44;9.6;5 +6.8;0.31;0.19;3.5;0.086;30;130;0.993;2.83;0.44;9.6;5 +7;0.15;0.29;16.4;0.058;45;110;0.9978;3.15;0.37;9.7;6 +6.5;0.41;0.22;4.8;0.052;49;142;0.9946;3.14;0.62;9.2;5 +6.2;0.31;0.23;3.3;0.052;34;113;0.99429;3.16;0.48;8.4;5 +8;0.27;0.33;1.2;0.05;41;103;0.99002;3;0.45;12.4;6 +8;0.27;0.33;1.2;0.05;41;103;0.99002;3;0.45;12.4;6 +6.5;0.41;0.22;4.8;0.052;49;142;0.9946;3.14;0.62;9.2;5 +6.2;0.31;0.23;3.3;0.052;34;113;0.99429;3.16;0.48;8.4;5 +6.7;0.37;0.25;2.5;0.028;24;84;0.9909;3.14;0.36;11.7;6 +6.6;0.21;0.5;8.7;0.036;41;191;0.99294;2.96;0.56;11;6 +7.5;0.26;0.31;1.6;0.032;36;109;0.99044;2.97;0.43;11.9;6 +7.5;0.34;0.28;4;0.028;46;100;0.98958;3.2;0.5;13.2;7 +6.7;0.37;0.25;2.5;0.028;24;84;0.9909;3.14;0.36;11.7;6 +6.4;0.32;0.23;16.2;0.055;36;176;0.9986;3.26;0.54;9.1;5 +6.7;0.24;0.32;9;0.023;20;109;0.99262;3.34;0.35;12.6;6 +6.4;0.32;0.23;16.2;0.055;36;176;0.9986;3.26;0.54;9.1;5 +7.1;0.39;0.79;1.4;0.194;23;90;0.99212;3.17;0.46;10.5;6 +8.2;0.31;0.43;7;0.047;18;87;0.99628;3.23;0.64;10.6;5 +6.7;0.24;0.32;9;0.023;20;109;0.99262;3.34;0.35;12.6;6 +5.9;0.17;0.29;3.1;0.03;32;123;0.98913;3.41;0.33;13.7;7 +5.9;0.2;0.23;1.5;0.037;38;93;0.99021;3.36;0.49;12;6 +6.6;0.32;0.26;4.6;0.031;26;120;0.99198;3.4;0.73;12.5;7 +5.9;0.12;0.27;4.8;0.03;40;110;0.99226;3.55;0.68;12.1;6 +5.9;0.18;0.29;4.6;0.032;68;137;0.99159;3.21;0.38;11.3;6 +5.9;0.2;0.23;1.5;0.037;38;93;0.99021;3.36;0.49;12;6 +5.4;0.17;0.27;2.7;0.049;28;104;0.99224;3.46;0.55;10.3;6 +6.1;0.21;0.3;6.3;0.039;47;136;0.99068;3.27;0.31;12.7;6 +7.3;0.25;0.26;7.2;0.048;52;207;0.99587;3.12;0.37;9.2;5 +7.3;0.25;0.26;7.2;0.048;52;207;0.99587;3.12;0.37;9.2;5 +6.2;0.22;0.3;12.4;0.054;108;152;0.99728;3.1;0.47;9.5;6 +6.5;0.27;0.19;6.6;0.045;98;175;0.99364;3.16;0.34;10.1;6 +6.5;0.27;0.19;6.6;0.045;98;175;0.99364;3.16;0.34;10.1;6 +6.6;0.39;0.22;4;0.038;17;98;0.99018;3.25;0.53;13;7 +6;0.31;0.38;4.8;0.04;41;101;0.98968;3.24;0.56;13.1;6 +8.4;0.23;0.32;1.3;0.048;59;113;0.99178;3.1;0.55;11;6 +7.3;0.25;0.26;7.2;0.048;52;207;0.99587;3.12;0.37;9.2;5 +6;0.22;0.25;11.1;0.056;112;177;0.9961;3.08;0.36;9.4;6 +6.2;0.22;0.3;12.4;0.054;108;152;0.99728;3.1;0.47;9.5;6 +6.1;0.23;0.27;9.8;0.055;74;134;0.99534;3.16;0.4;10.2;6 +6.5;0.27;0.19;6.6;0.045;98;175;0.99364;3.16;0.34;10.1;6 +7.3;0.36;0.54;13.3;0.054;63;193;0.99864;3.06;0.49;8.6;4 +7.6;0.37;0.51;11.7;0.094;58;181;0.99776;2.91;0.51;9;5 +6.7;0.26;0.51;8;0.062;50;194;0.99545;3.13;0.5;9.6;5 +7.4;0.22;0.27;1.6;0.057;45;98;0.99299;3.29;0.44;9.9;7 +6.1;0.22;0.28;16.55;0.059;54;135;0.99665;3.2;0.38;10.5;5 +7.1;0.28;0.31;1.5;0.053;20;98;0.99069;3.15;0.5;11.4;5 +6.5;0.35;0.31;10.2;0.069;58;170;0.99692;3.18;0.49;9.4;5 +6.8;0.73;0.2;6.6;0.054;25;65;0.99324;3.12;0.28;11.1;4 +6;0.28;0.24;17.8;0.047;42;111;0.99896;3.1;0.45;8.9;6 +6;0.28;0.24;17.8;0.047;42;111;0.99896;3.1;0.45;8.9;6 +7.1;0.2;0.37;1.5;0.049;28;129;0.99226;3.15;0.52;10.8;5 +6.8;0.33;0.31;7.4;0.045;34;143;0.99226;3.06;0.55;12.2;6 +6;0.28;0.24;17.8;0.047;42;111;0.99896;3.1;0.45;8.9;6 +7.2;0.24;0.36;2;0.029;21;63;0.99076;3.13;0.63;12.5;6 +6.8;0.33;0.31;7.4;0.045;34;143;0.99226;3.06;0.55;12.2;6 +7.2;0.24;0.36;2;0.029;21;63;0.99076;3.13;0.63;12.5;6 +6;0.28;0.24;17.8;0.047;42;111;0.99896;3.1;0.45;8.9;6 +6.2;0.27;0.26;12.1;0.046;43;127;0.9951;3.16;0.37;10.8;6 +6.4;0.38;0.26;8.2;0.043;28;98;0.99234;2.99;0.31;11.4;6 +7.1;0.2;0.37;1.5;0.049;28;129;0.99226;3.15;0.52;10.8;5 +6;0.21;0.3;8.7;0.036;47;127;0.99368;3.18;0.39;10.6;5 +7;0.34;0.1;3.5;0.044;17;63;0.9937;3.01;0.39;9.2;5 +5.9;0.435;0.16;6.4;0.031;21;134;0.99151;3.24;0.46;12.2;6 +7;0.25;0.33;2.1;0.021;17;76;0.99021;3.26;0.45;12.3;6 +6.7;0.26;0.29;7.7;0.038;40;179;0.99479;3.23;0.56;10.4;6 +7;0.24;0.3;12.3;0.035;72;172;0.9954;2.99;0.57;10.4;6 +8.5;0.23;0.34;1.3;0.035;54;110;0.99176;3.07;0.55;11;7 +6;0.21;0.3;8.7;0.036;47;127;0.99368;3.18;0.39;10.6;5 +7;0.34;0.1;3.5;0.044;17;63;0.9937;3.01;0.39;9.2;5 +4.8;0.65;0.12;1.1;0.013;4;10;0.99246;3.32;0.36;13.5;4 +6.1;0.22;0.38;2.8;0.144;12;65;0.9908;2.95;0.64;11.4;6 +5.8;0.27;0.26;3.5;0.071;26;69;0.98994;3.1;0.38;11.5;6 +5;0.455;0.18;1.9;0.036;33;106;0.98746;3.21;0.83;14;7 +6.5;0.33;0.3;3.8;0.036;34;88;0.99028;3.25;0.63;12.5;7 +6.5;0.33;0.3;3.8;0.036;34;88;0.99028;3.25;0.63;12.5;7 +6.7;0.31;0.3;2.4;0.038;30;83;0.98867;3.09;0.36;12.8;7 +6.2;0.39;0.24;4.8;0.037;45;138;0.99174;3.23;0.43;11.2;7 +6.2;0.39;0.24;4.8;0.037;45;138;0.99174;3.23;0.43;11.2;7 +7.1;0.37;0.3;6.2;0.04;49;139;0.99021;3.17;0.27;13.6;6 +7.2;0.23;0.82;1.3;0.149;70;109;0.99304;2.93;0.42;9.2;6 +6.5;0.33;0.3;3.8;0.036;34;88;0.99028;3.25;0.63;12.5;7 +7.2;0.25;0.32;1.5;0.054;24;105;0.99154;3.17;0.48;11.1;6 +6.2;0.39;0.24;4.8;0.037;45;138;0.99174;3.23;0.43;11.2;7 +4.7;0.455;0.18;1.9;0.036;33;106;0.98746;3.21;0.83;14;7 +7.1;0.37;0.3;6.2;0.04;49;139;0.99021;3.17;0.27;13.6;6 +6.2;0.28;0.51;7.9;0.056;49;206;0.9956;3.18;0.52;9.4;5 +6.4;0.35;0.28;1.6;0.037;31;113;0.98779;3.12;0.4;14.2;7 +6.6;0.31;0.28;1.4;0.035;28;107;0.98836;3;0.4;13.2;6 +7.4;0.25;0.37;2.6;0.05;24;132;0.99138;3.04;0.53;11.2;6 +7.3;0.36;0.34;14.8;0.057;46;173;0.99751;3.14;0.57;10.2;5 +6.7;0.31;0.3;2.4;0.038;30;83;0.98867;3.09;0.36;12.8;7 +8.6;0.31;0.3;0.9;0.045;16;109;0.99249;2.95;0.39;10.1;5 +8.6;0.31;0.3;0.9;0.045;16;109;0.99249;2.95;0.39;10.1;5 +8.6;0.22;0.33;1.2;0.031;38;95;0.99239;2.83;0.31;10.3;5 +6.9;0.14;0.29;9.9;0.056;30;91;0.99512;3.19;0.33;9.9;6 +6.5;0.22;0.31;3.9;0.046;17;106;0.99098;3.15;0.31;11.5;5 +6.6;0.32;0.47;15.6;0.063;27;173;0.99872;3.18;0.56;9;5 +6.6;0.32;0.47;15.6;0.063;27;173;0.99872;3.18;0.56;9;5 +6.1;0.28;0.26;1.5;0.03;25;101;0.98894;3.03;0.41;12.1;6 +6.2;0.3;0.28;1.6;0.036;28;106;0.988245;3.14;0.41;13.3;6 +6.9;0.22;0.28;7.8;0.05;43;116;0.99326;3.22;0.6;11.5;8 +8.7;0.31;0.21;5.6;0.039;28;67;0.99328;2.96;0.52;11;4 +7.3;0.27;0.3;1.3;0.04;26;84;0.99222;3.28;0.53;10.7;6 +7;0.46;0.2;16.7;0.046;50;184;0.99898;3.08;0.56;9.4;5 +5.7;0.23;0.25;7.95;0.042;16;108;0.99486;3.44;0.61;10.3;6 +6.5;0.36;0.36;6.7;0.185;51.5;151;0.99528;3.17;0.42;9.3;5 +8.2;0.18;0.38;1.1;0.04;41;92;0.99062;2.88;0.6;12;6 +6.2;0.27;0.32;6.3;0.048;47;159;0.99282;3.21;0.6;11;6 +6.9;0.4;0.37;8.9;0.053;36;148;0.996;3.16;0.5;9.3;5 +4.9;0.345;0.34;1;0.068;32;143;0.99138;3.24;0.4;10.1;5 +7.2;0.23;0.39;1.5;0.053;26;106;0.99166;3.18;0.47;11.1;6 +6.4;0.2;0.15;6.6;0.046;26;113;0.99408;2.99;0.58;9.9;6 +6.1;0.27;0.32;6.2;0.048;47;161;0.99281;3.22;0.6;11;6 +6.2;0.27;0.32;6.3;0.048;47;159;0.99282;3.21;0.6;11;6 +6;0.3;0.33;2.1;0.042;31;127;0.98964;3.32;0.42;12.5;6 +6.1;0.3;0.32;2.2;0.042;41;142;0.98952;3.31;0.44;12.7;7 +5.7;0.14;0.3;5.4;0.045;26;105;0.99469;3.32;0.45;9.3;5 +6.9;0.4;0.37;8.9;0.053;36;148;0.996;3.16;0.5;9.3;5 +4.9;0.345;0.34;1;0.068;32;143;0.99138;3.24;0.4;10.1;5 +6.3;0.33;0.2;17.9;0.066;36;161;0.9991;3.14;0.51;8.8;5 +7;0.16;0.3;2.6;0.043;34;90;0.99047;2.88;0.47;11.2;6 +8.4;0.22;0.3;1.3;0.038;45;122;0.99178;3.13;0.54;10.8;7 +6.3;0.33;0.2;17.9;0.066;36;161;0.9991;3.14;0.51;8.8;5 +7;0.16;0.3;2.6;0.043;34;90;0.99047;2.88;0.47;11.2;6 +5.4;0.24;0.18;2.3;0.05;22;145;0.99207;3.24;0.46;10.3;5 +7.7;0.31;0.36;4.3;0.026;15;87;0.99152;3.11;0.48;12;5 +5.6;0.185;0.19;7.1;0.048;36;110;0.99438;3.26;0.41;9.5;6 +5.6;0.185;0.19;7.1;0.048;36;110;0.99438;3.26;0.41;9.5;6 +6.6;0.43;0.24;11.9;0.04;54;159;0.99622;3.14;0.54;9.8;6 +7.6;0.39;0.46;11.7;0.084;55;170;0.99773;2.91;0.51;9;5 +7.2;0.58;0.27;5.8;0.032;40;118;0.99088;3.17;0.53;13;7 +6;0.34;0.32;3.8;0.044;13;116;0.99108;3.39;0.44;11.8;7 +7.5;0.35;0.48;12.4;0.056;61;176.5;0.99803;2.97;0.52;8.8;5 +7.3;0.38;0.23;6.5;0.05;18;102;0.99304;3.1;0.55;11.2;4 +5.4;0.185;0.19;7.1;0.048;36;110;0.99438;3.26;0.41;9.5;6 +6.3;0.27;0.51;7.6;0.049;35;200;0.99548;3.16;0.54;9.4;4 +6.5;0.29;0.52;7.9;0.049;35;192;0.99551;3.16;0.51;9.5;6 +6.4;0.17;0.3;2.8;0.034;33;125;0.99152;3.03;0.49;10.4;6 +6.7;0.18;0.31;10.6;0.035;42;143;0.99572;3.08;0.49;9.8;7 +6.4;0.17;0.3;2.8;0.034;33;125;0.99152;3.03;0.49;10.4;6 +6.8;0.37;0.67;1.5;0.175;16;98;0.99244;3.06;0.56;10.3;6 +6.3;0.27;0.51;7.6;0.049;35;200;0.99548;3.16;0.54;9.4;4 +6.5;0.29;0.52;7.9;0.049;35;192;0.99551;3.16;0.51;9.5;6 +6.1;0.24;0.26;1.7;0.033;61;134;0.9903;3.19;0.81;11.9;7 +7;0.32;0.29;7.6;0.025;35;124;0.99162;3.15;0.65;12.8;7 +6.9;0.27;0.25;7.5;0.03;18;117;0.99116;3.09;0.38;13;6 +6.5;0.29;0.53;1.7;0.04;41;192;0.9922;3.26;0.59;10.4;7 +6.5;0.29;0.52;1.7;0.034;41;193;0.99223;3.25;0.59;10.4;6 +6.1;0.22;0.25;12.1;0.035;54;135;0.99481;3.21;0.4;10.7;5 +6.3;0.22;0.27;4.5;0.036;81;157;0.9928;3.05;0.76;10.7;7 +6.1;0.24;0.26;1.7;0.033;61;134;0.9903;3.19;0.81;11.9;7 +5.6;0.23;0.25;8;0.043;31;101;0.99429;3.19;0.42;10.4;6 +7;0.32;0.29;7.6;0.025;35;124;0.99162;3.15;0.65;12.8;7 +6.8;0.11;0.27;8.6;0.044;45;104;0.99454;3.2;0.37;9.9;6 +6.8;0.11;0.27;8.6;0.044;45;104;0.99454;3.2;0.37;9.9;6 +7.3;0.23;0.41;14.6;0.048;73;223;0.99863;3.16;0.71;9.4;6 +6.1;0.2;0.17;1.6;0.048;46;129;0.991;3.3;0.43;11.4;6 +6.8;0.11;0.27;8.6;0.044;45;104;0.99454;3.2;0.37;9.9;6 +7.3;0.23;0.41;14.6;0.048;73;223;0.99863;3.16;0.71;9.4;6 +6.9;0.2;0.41;1.1;0.06;36;104;0.99317;2.99;0.39;9.2;5 +6.7;0.19;0.32;3.7;0.041;26;76;0.99173;2.9;0.57;10.5;7 +6.7;0.28;0.34;8.9;0.048;32;111;0.99455;3.25;0.54;11;7 +6.7;0.28;0.34;8.9;0.048;32;111;0.99455;3.25;0.54;11;7 +8;0.37;0.31;4.7;0.038;3;127;0.99186;2.9;0.72;12.1;5 +6.7;0.28;0.34;8.9;0.048;32;111;0.99455;3.25;0.54;11;7 +6;0.26;0.29;3.1;0.041;37;144;0.98944;3.22;0.39;12.8;7 +6.4;0.24;0.49;5.8;0.053;25;120;0.9942;3.01;0.98;10.5;6 +6.4;0.24;0.49;5.8;0.053;25;120;0.9942;3.01;0.98;10.5;6 +6.4;0.24;0.49;5.8;0.053;25;120;0.9942;3.01;0.98;10.5;6 +6.4;0.25;0.57;1;0.062;21;122;0.99238;3;0.4;9.5;5 +6.1;0.25;0.48;15.8;0.052;25;94;0.99782;3.07;0.45;9.2;6 +6.8;0.14;0.35;1.5;0.047;40;117;0.99111;3.07;0.72;11.1;6 +6.5;0.38;0.26;5.2;0.042;33;112;0.99067;3.06;0.5;12.3;7 +6.8;0.14;0.35;1.5;0.047;40;117;0.99111;3.07;0.72;11.1;6 +5.4;0.15;0.32;2.5;0.037;10;51;0.98878;3.04;0.58;12.6;6 +6.4;0.25;0.57;1;0.062;21;122;0.99238;3;0.4;9.5;5 +6.1;0.25;0.48;15.8;0.052;25;94;0.99782;3.07;0.45;9.2;6 +6.8;0.22;0.32;5.9;0.054;40;152;0.9938;3.2;0.57;10.8;6 +7.2;0.21;0.29;3.1;0.044;39;122;0.99143;3;0.6;11.3;6 +6;0.26;0.29;3.1;0.041;37;144;0.98944;3.22;0.39;12.8;7 +6.4;0.24;0.49;5.8;0.053;25;120;0.9942;3.01;0.98;10.5;6 +6.5;0.46;0.24;11.5;0.051;56;171;0.99588;3.08;0.56;9.8;6 +6.5;0.18;0.48;18;0.054;56;183;1.00038;2.98;0.61;8.5;6 +6.2;0.32;0.12;4.8;0.054;6;97;0.99424;3.16;0.5;9.3;5 +7.2;0.4;0.24;8.5;0.055;45;151;0.99626;3.2;0.52;9.2;5 +5.9;0.23;0.24;1.6;0.037;32;115;0.99076;3.21;0.51;11.4;6 +6.4;0.18;0.48;18;0.054;56;183;1.00038;2.98;0.61;8.5;6 +6.2;0.32;0.12;4.8;0.054;6;97;0.99424;3.16;0.5;9.3;5 +6.4;0.37;0.12;5.9;0.056;6;91;0.99536;3.06;0.46;8.4;4 +7;0.23;0.42;1.1;0.062;35;100;0.99318;3.04;0.4;9.2;5 +7.2;0.4;0.24;8.5;0.055;45;151;0.99626;3.2;0.52;9.2;5 +7.6;0.19;0.37;13.1;0.033;52;151;0.99726;3.18;0.79;10.4;6 +6;0.28;0.27;4.1;0.046;50;147;0.99126;3.27;0.56;11.6;6 +6.2;0.32;0.45;2.9;0.029;37;94;0.98998;3.25;0.6;12.4;6 +7.6;0.19;0.37;13.1;0.033;52;151;0.99726;3.18;0.79;10.4;6 +6.4;0.26;0.26;1.1;0.052;22;176;0.99304;3.09;0.54;9.3;5 +5.9;0.25;0.27;1.5;0.029;37;81;0.9892;3.2;0.46;12.2;6 +6.1;0.28;0.3;7.75;0.031;33;139;0.99296;3.22;0.46;11;6 +6.9;0.19;0.38;1.15;0.023;30;105;0.99047;3.11;0.38;11.4;5 +6.4;0.29;0.57;1;0.06;15;120;0.9924;3.06;0.41;9.5;5 +6.8;0.27;0.22;17.8;0.034;16;116;0.9989;3.07;0.53;9.2;5 +7.5;0.26;0.38;5.7;0.021;23;125;0.99338;3.13;0.62;11.1;6 +6.8;0.27;0.22;17.8;0.034;16;116;0.9989;3.07;0.53;9.2;5 +6.4;0.2;0.22;7.4;0.032;53;172;0.99404;3.24;0.58;11;6 +7.3;0.33;0.22;1.4;0.041;40;177;0.99287;3.14;0.48;9.9;5 +7.3;0.34;0.22;1.4;0.044;43;176;0.99286;3.14;0.46;9.9;5 +6.4;0.29;0.57;1;0.06;15;120;0.9924;3.06;0.41;9.5;5 +6.1;1.1;0.16;4.4;0.033;8;109;0.99058;3.35;0.47;12.4;4 +6.3;0.24;0.29;1.6;0.052;48;185;0.9934;3.21;0.5;9.4;5 +6.2;0.24;0.22;7.9;0.053;45;149;0.99545;3.23;0.52;9.3;5 +7.4;0.16;0.27;15.5;0.05;25;135;0.9984;2.9;0.43;8.7;7 +7.4;0.16;0.27;15.5;0.05;25;135;0.9984;2.9;0.43;8.7;7 +7.4;0.16;0.27;15.5;0.05;25;135;0.9984;2.9;0.43;8.7;7 +7.4;0.16;0.27;15.5;0.05;25;135;0.9984;2.9;0.43;8.7;7 +7.2;0.17;0.28;17.55;0.05;33;154;0.99971;2.94;0.43;9;7 +6.9;0.19;0.35;13.5;0.038;49;118;0.99546;3;0.63;10.7;6 +6.9;0.19;0.35;13.5;0.038;49;118;0.99546;3;0.63;10.7;6 +6.8;0.16;0.36;1.3;0.034;32;98;0.99058;3.02;0.58;11.3;6 +7.4;0.16;0.27;15.5;0.05;25;135;0.9984;2.9;0.43;8.7;7 +6.8;0.3;0.27;11.6;0.028;22;97;0.99314;2.96;0.38;11.7;6 +6.2;0.24;0.22;7.9;0.053;45;149;0.99545;3.23;0.52;9.3;5 +7.4;0.16;0.27;15.5;0.05;25;135;0.9984;2.9;0.43;8.7;7 +7.2;0.17;0.28;17.55;0.05;33;154;0.99971;2.94;0.43;9;7 +6.8;0.3;0.27;11.6;0.028;22;97;0.99314;2.96;0.38;11.7;6 +6.5;0.43;0.18;13.15;0.032;25;131;0.99565;3.23;0.51;10.7;5 +6.6;0.17;0.36;1.9;0.036;38;110;0.99056;3.05;0.54;11.4;6 +6.9;0.19;0.35;13.5;0.038;49;118;0.99546;3;0.63;10.7;6 +6.8;0.16;0.36;1.3;0.034;32;98;0.99058;3.02;0.58;11.3;6 +6.4;0.41;0.01;6.1;0.048;20;70;0.99362;3.19;0.42;10;5 +6.4;0.41;0.01;6.1;0.048;20;70;0.99362;3.19;0.42;10;5 +7.4;0.36;0.32;1.9;0.036;27;119;0.99196;3.15;0.49;11.2;6 +6.1;0.17;0.21;1.9;0.09;44;130;0.99255;3.07;0.41;9.7;5 +5.5;0.28;0.21;1.6;0.032;23;85;0.99027;3.42;0.42;12.5;5 +6.6;0.5;0.26;11.3;0.029;32;110;0.99302;3.27;0.78;12.9;8 +7.1;0.44;0.27;8.4;0.057;60;160;0.99257;3.16;0.36;11.8;6 +6.9;0.38;0.28;8.3;0.062;22;166;0.99506;3.16;0.72;10.6;5 +7.1;0.44;0.27;8.4;0.057;60;160;0.99257;3.16;0.36;11.8;6 +6.2;0.24;0.28;12.2;0.049;54;133;0.9952;3.19;0.37;10.7;6 +6.1;0.28;0.27;8;0.048;41;162;0.99498;3.21;0.51;9.9;5 +7.6;0.26;0.32;1.3;0.048;23;76;0.9903;2.96;0.46;12;6 +7.5;0.16;0.38;12.7;0.043;70.5;163;0.99706;3.15;0.82;10.4;7 +6.5;0.36;0.16;1.3;0.054;11;107;0.99398;3.19;0.39;8.5;5 +6.6;0.35;0.19;10.5;0.06;15;82;0.99588;3.13;0.38;9.9;4 +5.7;0.25;0.26;12.5;0.049;52.5;120;0.99691;3.08;0.45;9.4;6 +7.4;0.37;0.26;9.6;0.05;33;134;0.99608;3.13;0.46;10.4;5 +5.7;0.25;0.21;1.5;0.044;21;108;0.99142;3.3;0.59;11;6 +5.8;0.23;0.21;1.5;0.044;21;110;0.99138;3.3;0.57;11;6 +5.4;0.265;0.28;7.8;0.052;27;91;0.99432;3.19;0.38;10.4;6 +5.7;0.25;0.27;10.8;0.05;58;116;0.99592;3.1;0.5;9.8;6 +5.7;0.25;0.26;12.5;0.049;52.5;106;0.99691;3.08;0.45;9.4;6 +5.9;0.23;0.28;8.6;0.046;37;142;0.99432;3.23;0.53;10.6;6 +6.2;0.3;0.32;1.2;0.052;32;185;0.99266;3.28;0.44;10.1;5 +6.5;0.33;0.24;14.5;0.048;20;96;0.99456;3.06;0.3;11.5;8 +7.4;0.26;0.29;3.7;0.048;14;73;0.9915;3.06;0.45;11.4;6 +7;0.2;0.4;1.1;0.058;30;93;0.99322;3.03;0.38;9.2;6 +6.5;0.21;0.42;1.1;0.059;33;101;0.9927;3.12;0.38;9.7;6 +7.3;0.25;0.27;3.8;0.047;16;79;0.99173;3.07;0.46;11.3;6 +6.8;0.27;0.24;4.6;0.098;36;127;0.99412;3.15;0.49;9.6;6 +6.7;0.24;0.3;10.2;0.07;44;179;0.99666;2.86;0.46;8.9;6 +6.4;0.14;0.28;7.9;0.057;21;82;0.99425;3.26;0.36;10;6 +6.4;0.5;0.2;2.4;0.059;19;112;0.99314;3.18;0.4;9.2;6 +6.6;0.41;0.27;10.7;0.11;20;103;0.99672;3.08;0.41;9;6 +6.4;0.25;0.28;4.9;0.03;29;98;0.99024;3.09;0.58;12.8;7 +6.6;0.41;0.27;10.7;0.11;20;103;0.99672;3.08;0.41;9;6 +8;0.25;0.35;1.1;0.054;13;136;0.99366;3.08;0.55;9.5;5 +6.4;0.14;0.28;7.9;0.057;21;82;0.99425;3.26;0.36;10;6 +6.6;0.21;0.34;5.6;0.046;30;140;0.99299;3.22;0.38;11;5 +6.4;0.5;0.2;2.4;0.059;19;112;0.99314;3.18;0.4;9.2;6 +6.3;0.29;0.23;14.2;0.037;24;99;0.99528;3.08;0.38;10.6;6 +6.9;0.37;0.23;9.5;0.057;54;166;0.99568;3.23;0.42;10;5 +6.9;0.37;0.23;9.5;0.057;54;166;0.99568;3.23;0.42;10;5 +5.7;0.31;0.28;4.1;0.03;22;86;0.99062;3.31;0.38;11.7;7 +6.9;0.45;0.27;4.7;0.035;17;80;0.99058;3.12;0.36;12.5;7 +6.9;0.3;0.45;1.4;0.039;36;122;0.99059;3.07;0.47;11.1;7 +5.3;0.23;0.56;0.9;0.041;46;141;0.99119;3.16;0.62;9.7;5 +6.8;0.3;0.26;20.3;0.037;45;150;0.99727;3.04;0.38;12.3;6 +6.7;0.28;0.42;3.5;0.035;43;105;0.99021;3.18;0.38;12.2;6 +5;0.255;0.22;2.7;0.043;46;153;0.99238;3.75;0.76;11.3;6 +7.6;0.4;0.27;1.2;0.053;23;193;0.99164;3.22;0.38;11.6;5 +5.5;0.21;0.25;1.2;0.04;18;75;0.99006;3.31;0.56;11.3;6 +6;0.2;0.25;2;0.041;30;95;0.99078;3.27;0.56;11.1;6 +6.1;0.17;0.29;1.1;0.041;32;92;0.99036;3.26;0.57;11.2;6 +7.5;0.21;0.29;1.5;0.046;35;107;0.99123;3.15;0.45;11.3;6 +7.3;0.26;0.32;1.2;0.041;29;94;0.98978;3.07;0.45;12;6 +6.2;0.35;0.2;18.1;0.069;33;158;0.99908;3.15;0.5;8.8;6 +6.2;0.35;0.2;18.1;0.069;33;158;0.99908;3.15;0.5;8.8;6 +6.5;0.43;0.31;3.6;0.046;19;143;0.99022;3.15;0.34;12;8 +6.5;0.4;0.31;3.5;0.046;22;147;0.99024;3.15;0.31;12;7 +7.4;0.28;0.5;12.1;0.049;48;122;0.9973;3.01;0.44;9;5 +6.3;0.23;0.22;17.45;0.054;42;151;0.99853;3.12;0.6;9.3;6 +6.2;0.34;0.25;12.1;0.059;33;171;0.99769;3.14;0.56;8.7;6 +6.6;0.44;0.32;3;0.095;13;75;0.98954;3.1;0.63;12.8;6 +6;0.13;0.36;1.6;0.052;23;72;0.98974;3.1;0.5;11.5;7 +6.3;0.17;0.23;5.7;0.048;44;147;0.99382;3.08;0.54;10;5 +6.3;0.18;0.22;5.6;0.047;45;147;0.99383;3.09;0.54;10;5 +6.7;0.31;0.34;6.8;0.059;51;215;0.99538;3.33;0.56;10.3;5 +6.6;0.33;0.32;15.6;0.054;62;227;0.99734;3.25;0.56;10.4;5 +6.3;0.34;0.31;6;0.02;18;68;0.98981;3.22;0.29;13.4;7 +6.8;0.29;0.32;1.8;0.032;18;130;0.99095;3.05;0.62;11.2;6 +7.4;0.31;0.26;8.6;0.048;47;206;0.9964;3.26;0.36;9.1;5 +7.4;0.31;0.26;8.6;0.048;47;206;0.9964;3.26;0.36;9.1;5 +5.7;0.25;0.27;11.5;0.04;24;120;0.99411;3.33;0.31;10.8;6 +6.8;0.27;0.28;7.8;0.038;26;89;0.9915;3.24;0.34;12.5;6 +5.9;0.26;0.24;2.4;0.046;27;132;0.99234;3.63;0.73;11.3;5 +5.9;0.65;0.23;5;0.035;20;128;0.99016;3.46;0.48;12.8;6 +7.4;0.31;0.26;8.6;0.048;47;206;0.9964;3.26;0.36;9.1;5 +6.6;0.23;0.32;1.5;0.041;8;72;0.98949;3.22;0.39;12.7;6 +6.8;0.18;0.35;5.4;0.054;53;143;0.99287;3.1;0.54;11;7 +6.8;0.28;0.29;11.9;0.052;51;149;0.99544;3.02;0.58;10.4;6 +6.8;0.28;0.29;11.9;0.052;51;149;0.99544;3.02;0.58;10.4;6 +5.9;0.27;0.27;9;0.051;43;136;0.9941;3.25;0.53;10.7;6 +6.1;0.25;0.28;10;0.055;56;131;0.994;3.22;0.35;10.9;6 +6.8;0.28;0.29;11.9;0.052;51;149;0.99544;3.02;0.58;10.4;6 +6.8;0.26;0.29;11.9;0.052;54;160;0.99546;3.03;0.58;10.4;6 +7.1;0.13;0.29;15.5;0.064;56;115.5;0.99737;3.16;0.41;9.7;7 +6.8;0.18;0.35;5.4;0.054;53;143;0.99287;3.1;0.54;11;7 +6.2;0.2;0.25;15;0.055;8;120;0.99767;3.19;0.53;9.6;6 +5.8;0.24;0.28;1.4;0.038;40;76;0.98711;3.1;0.29;13.9;7 +7.6;0.48;0.31;9.4;0.046;6;194;0.99714;3.07;0.61;9.4;5 +7.4;0.26;0.32;3.7;0.032;29;193;0.99134;3.1;0.67;12.5;6 +6.2;0.2;0.25;15;0.055;8;120;0.99767;3.19;0.53;9.6;6 +6.1;0.3;0.47;1.4;0.049;50;187;0.9927;3.19;0.45;9.5;5 +6.2;0.32;0.5;6.5;0.048;61;186;0.9948;3.19;0.45;9.6;5 +6.1;0.3;0.47;1.4;0.049;50;187;0.9927;3.19;0.45;9.5;5 +6.3;0.34;0.52;6.3;0.047;63;186;0.99481;3.18;0.44;9.6;5 +7.4;0.16;0.3;13.7;0.056;33;168;0.99825;2.9;0.44;8.7;7 +7.4;0.16;0.3;13.7;0.056;33;168;0.99825;2.9;0.44;8.7;7 +7.4;0.16;0.3;13.7;0.056;33;168;0.99825;2.9;0.44;8.7;7 +7.4;0.16;0.3;13.7;0.056;33;168;0.99825;2.9;0.44;8.7;7 +7.4;0.16;0.3;13.7;0.056;33;168;0.99825;2.9;0.44;8.7;7 +7.4;0.16;0.3;13.7;0.056;33;168;0.99825;2.9;0.44;8.7;7 +7.2;0.26;0.38;1.5;0.061;12;120;0.99192;3.18;0.46;10.4;5 +7;0.31;0.35;1.6;0.063;13;119;0.99184;3.22;0.5;10.7;5 +6.6;0.22;0.35;1.4;0.05;23;83;0.99019;3.17;0.48;12;7 +5.8;0.23;0.31;3.5;0.044;35;158;0.98998;3.19;0.37;12.1;7 +6.3;0.17;0.32;1;0.04;39;118;0.98886;3.31;0.4;13.1;8 +6;0.19;0.26;1.4;0.039;30;104;0.98998;3.32;0.41;12.4;6 +6.7;0.21;0.34;1.5;0.035;45;123;0.98949;3.24;0.36;12.6;7 +7.4;0.16;0.3;13.7;0.056;33;168;0.99825;2.9;0.44;8.7;7 +6.6;0.22;0.37;1.6;0.04;31;101;0.99009;3.15;0.66;12;5 +6.8;0.34;0.27;5.2;0.06;14;169;0.99252;3.27;0.57;11.6;6 +7.1;0.34;0.86;1.4;0.174;36;99;0.99288;2.92;0.5;9.3;5 +6.3;0.24;0.22;11.9;0.05;65;179;0.99659;3.06;0.58;9.3;6 +6.9;0.35;0.39;2.4;0.048;25;157;0.99133;3.2;0.54;11.1;7 +6.8;0.24;0.33;3.2;0.049;68;161;0.99324;3.1;0.69;10.2;6 +6.4;0.25;0.33;1.7;0.037;35;113;0.99164;3.23;0.66;10.6;6 +5.8;0.19;0.33;4.2;0.038;49;133;0.99107;3.16;0.42;11.3;7 +6.9;0.24;0.4;15.4;0.052;81;198;0.9986;3.2;0.69;9.4;5 +6.5;0.31;0.61;13;0.053;31;123;0.99708;3.09;0.5;9.3;6 +6.6;0.25;0.32;5.6;0.039;15;68;0.99163;2.96;0.52;11.1;6 +7.5;0.38;0.56;9.7;0.055;15;170;0.99605;3.13;0.65;9.9;6 +6.2;0.3;0.3;2.5;0.041;29;82;0.99065;3.31;0.61;11.8;7 +6.4;0.33;0.28;4;0.04;24;81;0.9903;3.26;0.64;12.6;7 +6.9;0.24;0.4;15.4;0.052;81;198;0.9986;3.2;0.69;9.4;5 +7.6;0.27;0.32;1.2;0.043;23;72;0.99236;3.06;0.68;10.5;5 +5.9;0.24;0.34;2;0.037;40;108;0.98948;3.19;0.5;12.3;6 +5.3;0.33;0.3;1.2;0.048;25;119;0.99045;3.32;0.62;11.3;6 +6.4;0.21;0.21;5.1;0.097;21;105;0.9939;3.07;0.46;9.6;5 +7;0.22;0.3;1.4;0.04;14;63;0.98985;3.2;0.33;12;6 +7.8;0.27;0.35;1.2;0.05;36;140;0.99138;3.09;0.45;11.2;5 +6.7;0.2;0.24;6.5;0.044;28;100;0.99348;3.12;0.33;10.2;6 +8.1;0.27;0.33;1.3;0.045;26;100;0.99066;2.98;0.44;12.4;6 +6.7;0.2;0.24;6.5;0.044;28;100;0.99348;3.12;0.33;10.2;6 +7.1;0.45;0.24;2.7;0.04;24;87;0.98862;2.94;0.38;13.4;8 +5.8;0.22;0.29;1.3;0.036;25;68;0.98865;3.24;0.35;12.6;6 +6.3;0.3;0.48;7.4;0.053;34;149;0.99472;3.18;0.53;9.8;5 +7.9;0.36;0.53;12.9;0.049;63;139;0.99792;2.94;0.45;9.1;5 +8.1;0.27;0.33;1.3;0.045;26;100;0.99066;2.98;0.44;12.4;6 +8;0.24;0.33;1.2;0.044;28;101;0.99035;3.03;0.43;12.5;6 +6.7;0.41;0.27;2.6;0.033;25;85;0.99086;3.05;0.34;11.7;6 +6.7;0.24;0.31;2.3;0.044;37;113;0.99013;3.29;0.46;12.9;6 +6.2;0.3;0.32;1.3;0.054;27;183;0.99266;3.3;0.43;10.1;5 +6.9;0.26;0.38;10.5;0.044;33;139;0.99517;3.06;0.5;10.3;6 +6.7;0.41;0.27;2.6;0.033;25;85;0.99086;3.05;0.34;11.7;6 +5.9;0.32;0.2;14.4;0.05;29;144;0.99666;3.24;0.41;10.3;6 +6.1;0.25;0.3;1.2;0.036;42;107;0.991;3.34;0.56;10.8;7 +5.6;0.23;0.29;3.1;0.023;19;89;0.99068;3.25;0.51;11.2;6 +6.6;0.23;0.32;1.7;0.024;26;102;0.99084;3.29;0.6;11.8;6 +6;0.17;0.21;6;0.05;26;134;0.9939;3.08;0.54;9.8;6 +7.1;0.38;0.42;11.8;0.041;32;193;0.99624;3.04;0.49;10;6 +6.6;0.31;0.37;6.2;0.052;13;164;0.99602;3.24;0.39;8.8;4 +6.5;0.38;0.53;1.4;0.142;5;69;0.9926;3.14;0.52;10.1;4 +7;0.44;0.24;12.1;0.056;68;210;0.99718;3.05;0.5;9.5;5 +7;0.44;0.24;12.1;0.056;68;210;0.99718;3.05;0.5;9.5;5 +7;0.44;0.24;12.1;0.056;68;210;0.99718;3.05;0.5;9.5;5 +6.1;0.38;0.14;3.9;0.06;27;113;0.99344;3.07;0.34;9.2;4 +8;0.33;0.32;4.6;0.041;31;180;0.99184;2.92;0.74;12.2;6 +7;0.44;0.24;12.1;0.056;68;210;0.99718;3.05;0.5;9.5;5 +6;0.19;0.29;1.2;0.046;29;92;0.99033;3.22;0.53;11.3;6 +6.3;0.28;0.34;8.1;0.038;44;129;0.99248;3.26;0.29;12.1;6 +6.1;0.38;0.14;3.9;0.06;27;113;0.99344;3.07;0.34;9.2;4 +5.3;0.43;0.11;1.1;0.029;6;51;0.99076;3.51;0.48;11.2;4 +5.4;0.22;0.35;6.5;0.029;26;87;0.99092;3.29;0.44;12.5;7 +6.2;0.345;0.27;10.1;0.056;38;187;0.99486;3.31;0.56;10.6;5 +5.6;0.255;0.57;10.7;0.056;66;171;0.99464;3.25;0.61;10.4;7 +5.2;0.2;0.27;3.2;0.047;16;93;0.99235;3.44;0.53;10.1;7 +6.2;0.29;0.23;12.4;0.048;33;201;0.99612;3.11;0.56;9.9;6 +6.3;0.26;0.25;5.2;0.046;11;133;0.99202;2.97;0.68;11;6 +6;0.22;0.23;5;0.045;10;122;0.99261;2.94;0.63;10;6 +7.5;0.35;0.37;2.5;0.066;29;89;0.98964;3.14;0.42;12.7;6 +6.6;0.39;0.28;9.2;0.036;10;92;0.99206;3.07;0.35;12.1;6 +6.3;0.23;0.33;6.9;0.052;23;118;0.9938;3.23;0.46;10.4;6 +6.3;0.22;0.3;2;0.05;23;120;0.99204;3.24;0.47;10.4;6 +6.4;0.29;0.18;15;0.04;21;116;0.99736;3.14;0.5;9.2;5 +6.4;0.29;0.18;15;0.04;21;116;0.99736;3.14;0.5;9.2;5 +7.5;0.23;0.3;1.2;0.03;27;80;0.99192;3.05;0.68;10.5;5 +6.4;0.29;0.18;15;0.04;21;116;0.99736;3.14;0.5;9.2;5 +5.7;0.28;0.36;1.8;0.041;38;90;0.99002;3.27;0.98;11.9;7 +6.5;0.26;0.24;10.8;0.042;47;130;0.996;3.08;0.4;10.1;6 +6.4;0.27;0.29;3.9;0.034;62;140;0.99237;3.1;0.59;11.1;6 +5.9;0.22;0.29;4.2;0.037;69;144;0.99214;3.13;0.74;10.8;7 +6.8;0.26;0.26;2;0.019;23.5;72;0.99041;3.16;0.47;11.8;6 +7.6;0.36;0.48;13.5;0.038;44;116;0.9982;3.04;0.48;9.2;5 +7.6;0.35;0.47;13.3;0.037;42;116;0.99822;3.04;0.5;9.2;5 +5.7;0.18;0.26;2.2;0.023;21;95;0.9893;3.07;0.54;12.3;6 +6.6;0.36;0.47;1.4;0.145;26;124;0.99274;3.09;0.56;10.1;6 +5.9;0.14;0.2;1.6;0.04;26;114;0.99105;3.25;0.45;11.4;6 +5.5;0.23;0.19;2.2;0.044;39;161;0.99209;3.19;0.43;10.4;6 +6.7;0.11;0.26;14.8;0.053;44;95;0.99676;3.2;0.35;9.8;6 +7;0.24;0.24;1.8;0.047;29;91;0.99251;3.3;0.43;9.9;6 +6.7;0.11;0.26;14.8;0.053;44;95;0.99676;3.2;0.35;9.8;6 +5.3;0.47;0.1;1.3;0.036;11;74;0.99082;3.48;0.54;11.2;4 +7.5;0.29;0.24;9.9;0.058;25;115;0.99567;3.15;0.46;10.9;5 +6;0.33;0.26;5.1;0.051;16;119;0.99416;3.15;0.41;9.2;5 +6;0.33;0.26;5.1;0.051;16;119;0.99416;3.15;0.41;9.2;5 +5.8;0.32;0.23;1.5;0.033;39;121;0.9887;2.96;0.35;12;5 +5.8;0.3;0.23;1.5;0.034;37;121;0.98871;2.96;0.34;12.1;6 +3.8;0.31;0.02;11.1;0.036;20;114;0.99248;3.75;0.44;12.4;6 +6.2;0.36;0.22;5.25;0.038;44;145;0.99184;3.22;0.4;11.2;6 +6;0.31;0.27;2.3;0.042;19;120;0.98952;3.32;0.41;12.7;7 +6.9;0.52;0.54;7.9;0.036;23;169;0.99267;3.26;0.47;12.2;6 +7;0.55;0.05;8;0.036;19;164;0.99269;3.26;0.46;12.2;6 +5.8;0.2;0.16;1.4;0.042;44;99;0.98912;3.23;0.37;12.2;6 +6.2;0.36;0.22;5.25;0.038;44;145;0.99184;3.22;0.4;11.2;6 +6;0.31;0.27;2.3;0.042;19;120;0.98952;3.32;0.41;12.7;7 +6;0.29;0.27;2.3;0.044;20;117;0.9895;3.31;0.41;12.7;7 +5.7;0.22;0.29;3.5;0.04;27;146;0.98999;3.17;0.36;12.1;6 +7.1;0.46;0.23;13.7;0.045;44;192;0.9981;3.11;0.53;9.4;5 +6.6;0.21;0.3;9.9;0.041;64;174;0.995;3.07;0.5;10.1;6 +6.9;0.42;0.2;15.4;0.043;57;201;0.99848;3.08;0.54;9.4;5 +5.7;0.22;0.2;16;0.044;41;113;0.99862;3.22;0.46;8.9;6 +5.7;0.22;0.2;16;0.044;41;113;0.99862;3.22;0.46;8.9;6 +5.7;0.22;0.2;16;0.044;41;113;0.99862;3.22;0.46;8.9;6 +5.7;0.22;0.2;16;0.044;41;113;0.99862;3.22;0.46;8.9;6 +5.2;0.31;0.2;2.4;0.027;27;117;0.98886;3.56;0.45;13;7 +7.2;0.22;0.35;5.5;0.054;37;183;0.99474;3.08;0.5;10.3;5 +5.6;0.18;0.29;2.3;0.04;5;47;0.99126;3.07;0.45;10.1;4 +6.2;0.24;0.27;16.8;0.04;48;129;0.99691;3.23;0.38;10.5;6 +5.7;0.22;0.2;16;0.044;41;113;0.99862;3.22;0.46;8.9;6 +5.7;0.26;0.24;17.8;0.059;23;124;0.99773;3.3;0.5;10.1;5 +5.7;0.26;0.24;17.8;0.059;23;124;0.99773;3.3;0.5;10.1;5 +6;0.2;0.26;6.8;0.049;22;93;0.9928;3.15;0.42;11;6 +6;0.2;0.26;6.8;0.049;22;93;0.9928;3.15;0.42;11;6 +6;0.2;0.26;6.8;0.049;22;93;0.9928;3.15;0.42;11;6 +6;0.2;0.26;6.8;0.049;22;93;0.9928;3.15;0.42;11;6 +7.6;0.28;0.17;1.6;0.046;28;117;0.99288;3.08;0.43;10;5 +7;0.2;0.33;4.7;0.03;25;76;0.99202;2.88;0.54;10.5;6 +6.6;0.26;0.27;11.8;0.048;28;112;0.99606;2.87;0.49;9.7;6 +5.7;0.26;0.24;17.8;0.059;23;124;0.99773;3.3;0.5;10.1;5 +7.2;0.21;0.36;15.7;0.045;68;183;0.99922;3.25;0.76;9.4;5 +6.9;0.22;0.32;5.8;0.041;20;119;0.99296;3.17;0.55;11.2;6 +7.2;0.21;0.36;15.7;0.045;68;183;0.99922;3.25;0.76;9.4;5 +7.4;0.22;0.28;9;0.046;22;121;0.99468;3.1;0.55;10.8;5 +7.2;0.21;0.36;15.7;0.045;68;183;0.99922;3.25;0.76;9.4;5 +6.9;0.22;0.32;5.8;0.041;20;119;0.99296;3.17;0.55;11.2;6 +7;0.2;0.35;8.8;0.037;31;103;0.99388;3.13;0.49;11;6 +5.6;0.26;0;10.2;0.038;13;111;0.99315;3.44;0.46;12.4;6 +6.3;0.28;0.3;6.6;0.208;60;154;0.99478;3.1;0.4;9.4;6 +6.4;0.29;0.3;6.5;0.209;62;156;0.99478;3.1;0.4;9.4;5 +7.2;0.34;0.23;8.9;0.105;22;155;0.99692;3.01;0.58;9.5;5 +7.1;0.39;0.39;11.1;0.034;25;204;0.99616;3.05;0.52;10;6 +6.9;0.26;0.29;4.2;0.043;33;114;0.9902;3.16;0.31;12.5;6 +6.1;0.24;0.25;1.6;0.044;24;115;0.9921;3.39;0.59;10.9;6 +5.9;0.25;0.24;7.4;0.044;21;113;0.99462;3.38;0.58;10.5;6 +6.1;0.24;0.27;11.5;0.05;51;133;0.99476;3.22;0.37;10.8;6 +6.5;0.22;0.27;1.6;0.039;36;116;0.99178;3.38;0.57;11;7 +6.2;0.26;0.29;2;0.036;16;87;0.99081;3.33;0.61;11.8;6 +6.6;0.34;0.25;4.8;0.038;16;121;0.99198;3.36;0.71;12.6;6 +5.6;0.225;0.24;9.8;0.054;59;140;0.99545;3.17;0.39;10.2;6 +7.1;0.23;0.28;1.9;0.046;33;103;0.98997;3.12;0.31;12;5 +6.9;0.26;0.29;4.2;0.043;33;114;0.9902;3.16;0.31;12.5;6 +6.4;0.27;0.3;1.6;0.04;19;86;0.99089;3.32;0.65;11.5;6 +6.3;0.41;0.22;7.3;0.035;23;117;0.99172;3.2;0.39;11.94;7 +6.7;0.41;0.24;5.4;0.035;33;115;0.9901;3.12;0.44;12.8933333333333;7 +7.2;0.585;0.2;10.4;0.086;17;94;0.99681;3.13;0.4;9.4;5 +6.7;0.34;0.26;1.9;0.038;58;138;0.9893;3;0.47;12.2;7 +6.3;0.41;0.22;7.3;0.035;23;117;0.99172;3.2;0.39;11.94;7 +6.7;0.41;0.24;5.4;0.035;33;115;0.9901;3.12;0.44;12.8933333333333;7 +6.4;0.26;0.35;7.7;0.056;45;191;0.99527;3.16;0.5;9.5;5 +6.3;0.28;0.22;11.5;0.036;27;150;0.99445;3;0.33;10.6;6 +7.4;0.16;0.33;1.2;0.042;47;121;0.99198;3.04;0.68;10.5;7 +8.4;0.27;0.3;2.2;0.037;36;129;0.99085;2.89;0.3;11.4666666666667;6 +5.9;0.2;0.28;1;0.043;45;100;0.99033;3.4;0.41;11.4;6 +6.4;0.24;0.26;8.2;0.054;47;182;0.99538;3.12;0.5;9.5;5 +7.4;0.38;0.34;8.3;0.052;44;168;0.99627;3.11;0.52;9.2;5 +6.4;0.24;0.26;8.2;0.054;47;182;0.99538;3.12;0.5;9.5;5 +6.4;0.42;0.19;9.3;0.043;28;145;0.99433;3.23;0.53;10.98;5 +6.4;0.23;0.26;8.1;0.054;47;181;0.9954;3.12;0.49;9.4;5 +6.4;0.24;0.26;8.2;0.054;47;182;0.99538;3.12;0.5;9.5;5 +7.4;0.38;0.34;8.3;0.052;44;168;0.99627;3.11;0.52;9.2;5 +7.3;0.19;0.27;13.9;0.057;45;155;0.99807;2.94;0.41;8.8;8 +7.3;0.19;0.27;13.9;0.057;45;155;0.99807;2.94;0.41;8.8;8 +7.3;0.19;0.27;13.9;0.057;45;155;0.99807;2.94;0.41;8.8;8 +7.3;0.19;0.27;13.9;0.057;45;155;0.99807;2.94;0.41;8.8;8 +7.3;0.19;0.27;13.9;0.057;45;155;0.99807;2.94;0.41;8.8;8 +7.3;0.19;0.27;13.9;0.057;45;155;0.99807;2.94;0.41;8.8;8 +7.3;0.19;0.27;13.9;0.057;45;155;0.99807;2.94;0.41;8.8;8 +6.8;0.24;0.29;2;0.044;15;96;0.99232;3.23;0.64;10.4;8 +7.3;0.19;0.27;13.9;0.057;45;155;0.99807;2.94;0.41;8.8;8 +7.4;0.27;0.52;15.7;0.054;36;139;0.99788;3.04;0.62;10.0333333333333;6 +5.7;0.28;0.35;1.2;0.052;39;141;0.99108;3.44;0.69;11.3;6 +5.8;0.22;0.25;1.5;0.024;21;109;0.99234;3.37;0.58;10.4;6 +6.7;0.27;0.69;1.2;0.176;36;106;0.99288;2.96;0.43;9.2;6 +7.1;0.2;0.35;3.2;0.034;21;107;0.99195;3.11;0.54;11.1;6 +6.7;0.27;0.69;1.2;0.176;36;106;0.99288;2.96;0.43;9.2;6 +7.1;0.23;0.3;2.6;0.034;62;148;0.99121;3.03;0.56;11.3;7 +7.6;0.31;0.52;13.2;0.042;61;148;0.99839;2.98;0.47;9.1;6 +7.2;0.34;0.28;10.4;0.108;43;187;0.99738;2.96;0.57;9.4;5 +7;0.36;0.25;5.7;0.015;14;73;0.98963;2.82;0.59;13.2;6 +6.4;0.31;0.28;2.5;0.039;34;137;0.98946;3.22;0.38;12.7;6 +7.3;0.28;0.35;1.6;0.054;31;148;0.99178;3.18;0.47;10.7;5 +7.4;0.16;0.3;1.4;0.064;34;166;0.99136;3.11;0.42;11.4333333333333;6 +6.4;0.31;0.27;7.4;0.049;48;169;0.99323;3.27;0.45;11.1;6 +6.4;0.31;0.28;2.5;0.039;34;137;0.98946;3.22;0.38;12.7;6 +6.2;0.29;0.29;5.6;0.046;35;178;0.99313;3.25;0.51;10.5333333333333;5 +5.9;0.28;0.34;3.6;0.04;50;194;0.9912;3.31;0.52;11.6;6 +6.5;0.23;0.2;7.5;0.05;44;179;0.99504;3.18;0.48;9.53333333333333;5 +7.2;0.34;0.2;5.8;0.062;52;203;0.99461;3.17;0.44;9.8;6 +7.3;0.28;0.35;1.6;0.054;31;148;0.99178;3.18;0.47;10.7;5 +6.5;0.2;0.33;1.5;0.039;36;110;0.99008;3.22;0.65;12;6 +6.2;0.24;0.27;2.9;0.039;30;123;0.98959;3.12;0.37;12.8;6 +7.1;0.31;0.25;11.2;0.048;32;136;0.99663;3.14;0.4;9.5;5 +6.4;0.29;0.21;9.65;0.041;36;119;0.99334;2.99;0.34;10.9333333333333;6 +6.3;0.19;0.33;10.1;0.063;63;133;0.99561;2.86;0.41;9.1;5 +5.9;0.29;0.28;3.2;0.035;16;117;0.98959;3.26;0.42;12.6;6 +7.1;0.31;0.25;11.2;0.048;32;136;0.99663;3.14;0.4;9.5;5 +6.5;0.3;0.28;11.45;0.041;29;109;0.99418;2.98;0.3;10.9;6 +6.4;0.29;0.21;9.65;0.041;36;119;0.99334;2.99;0.34;10.9333333333333;6 +6.5;0.22;0.19;4.5;0.096;16;115;0.9937;3.02;0.44;9.6;5 +7;0.23;0.28;2.7;0.053;16;92;0.99372;3.18;0.56;9.3;5 +7.1;0.23;0.23;3.5;0.038;23;112;0.99157;3.05;0.37;11.3666666666667;6 +6.1;0.26;0.28;1.7;0.043;24;98;0.98918;3.14;0.44;12.5;6 +6.4;0.35;0.21;2.1;0.051;46;171;0.9932;3.16;0.5;9.5;5 +6;0.32;0.32;4.8;0.041;40;186;0.99235;3.22;0.54;11;6 +6.1;0.34;0.21;5;0.042;17;133;0.99373;3.02;0.53;9.4;5 +6.5;0.13;0.27;2.6;0.035;32;76;0.9914;3.21;0.76;11.3333333333333;6 +6.5;0.315;0.2;6.6;0.041;9;126;0.99494;2.94;0.51;8.8;5 +6.1;0.34;0.21;5;0.042;17;133;0.99373;3.02;0.53;9.4;5 +5.7;0.31;0.29;7.3;0.05;33;143;0.99332;3.31;0.5;11.0666666666667;6 +6.4;0.3;0.27;5;0.058;27;151;0.99198;3.22;0.49;12.2;6 +7;0.24;0.26;1.7;0.041;31;110;0.99142;3.2;0.53;11;6 +6.5;0.13;0.27;2.6;0.035;32;76;0.9914;3.21;0.76;11.3333333333333;6 +6.4;0.26;0.21;8.2;0.05;51;182;0.99542;3.23;0.48;9.5;5 +6.4;0.26;0.21;8.2;0.05;51;182;0.99542;3.23;0.48;9.5;5 +6;0.27;0.31;5;0.043;54;170;0.9924;3.28;0.52;11;6 +7.1;0.21;0.33;1.2;0.039;34;97;0.99112;3.11;0.75;11.2;6 +6.7;0.26;0.29;7.1;0.036;28;100;0.99534;3.08;0.36;9.3;6 +6.3;0.28;0.22;9.5;0.04;30;111;0.99338;3.05;0.31;10.8;4 +6.2;0.25;0.44;15.8;0.057;39;167;0.99804;3.14;0.51;9.2;5 +7.3;0.22;0.37;15.5;0.048;70;203;0.99899;3.25;0.77;9.4;5 +6.2;0.25;0.44;15.8;0.057;39;167;0.99804;3.14;0.51;9.2;5 +6.4;0.18;0.28;17.05;0.047;53;139;0.99724;3.25;0.35;10.5;6 +6.3;0.2;0.26;12.7;0.046;60;143;0.99526;3.26;0.35;10.8;6 +6.6;0.24;0.22;12.3;0.051;35;146;0.99676;3.1;0.67;9.4;5 +7.4;0.27;0.26;11.8;0.053;55;173;0.99699;3.11;0.6;9.8;5 +7.4;0.27;0.26;11.8;0.053;55;173;0.99699;3.11;0.6;9.8;5 +7.4;0.27;0.26;11.8;0.053;55;173;0.99699;3.11;0.6;9.8;5 +6.6;0.24;0.22;12.3;0.051;35;146;0.99676;3.1;0.67;9.4;5 +7.4;0.27;0.26;11.8;0.053;55;173;0.99699;3.11;0.6;9.8;5 +7.1;0.38;0.29;13.6;0.041;30;137;0.99461;3.02;0.96;12.1;6 +6.8;0.43;0.26;5.2;0.043;40;176;0.99116;3.17;0.41;12.3;6 +5.2;0.22;0.46;6.2;0.066;41;187;0.99362;3.19;0.42;9.73333333333333;5 +5.9;0.29;0.16;7.9;0.044;48;197;0.99512;3.21;0.36;9.4;5 +5.9;0.29;0.16;7.9;0.044;48;197;0.99512;3.21;0.36;9.4;5 +6.3;0.29;0.29;3.3;0.037;32;140;0.9895;3.17;0.36;12.8;7 +6.3;0.19;0.32;2.8;0.046;18;80;0.99043;2.92;0.47;11.05;6 +5.7;0.29;0.16;7.9;0.044;48;197;0.99512;3.21;0.36;9.4;5 +6.3;0.29;0.29;3.3;0.037;32;140;0.9895;3.17;0.36;12.8;7 +5.7;0.24;0.47;6.3;0.069;35;182;0.99391;3.11;0.46;9.73333333333333;5 +5.8;0.3;0.38;4.9;0.039;22;86;0.98963;3.23;0.58;13.1;7 +7.1;0.27;0.27;10.4;0.041;26;114;0.99335;3.04;0.52;11.5;7 +5.8;0.3;0.38;4.9;0.039;22;86;0.98963;3.23;0.58;13.1;7 +7.1;0.27;0.27;10.4;0.041;26;114;0.99335;3.04;0.52;11.5;7 +6.3;0.305;0.22;16;0.061;26;141;0.99824;3.08;0.5;9.1;5 +5.7;0.24;0.47;6.3;0.069;35;182;0.99391;3.11;0.46;9.75;5 +6.2;0.22;0.28;2.2;0.04;24;125;0.9917;3.19;0.48;10.5;6 +6.6;0.22;0.23;17.3;0.047;37;118;0.99906;3.08;0.46;8.8;6 +6.6;0.22;0.23;17.3;0.047;37;118;0.99906;3.08;0.46;8.8;6 +6.6;0.22;0.23;17.3;0.047;37;118;0.99906;3.08;0.46;8.8;6 +6.6;0.22;0.23;17.3;0.047;37;118;0.99906;3.08;0.46;8.8;6 +6.2;0.22;0.28;2.2;0.04;24;125;0.9917;3.19;0.48;10.5;6 +6.2;0.22;0.28;2.2;0.04;24;125;0.9917;3.19;0.48;10.5;6 +6.6;0.22;0.23;17.3;0.047;37;118;0.99906;3.08;0.46;8.8;6 +6.1;0.22;0.5;6.6;0.045;30;122;0.99415;3.22;0.49;9.9;6 +6.2;0.21;0.52;6.5;0.047;28;123;0.99418;3.22;0.49;9.9;6 +6.3;0.32;0.26;12.3;0.044;24;205;0.99611;3.11;0.58;9.9;5 +6.9;0.44;0.27;5;0.038;33;166;0.99124;3.2;0.42;12.2;6 +6.1;0.31;0.34;2.8;0.042;59.5;162;0.99179;3.27;0.47;10.8;6 +8.1;0.36;0.59;13.6;0.051;60;134;0.99886;2.96;0.39;8.7;5 +6.6;0.38;0.28;2.8;0.043;17;67;0.98924;3.21;0.47;13.2;6 +6.7;0.24;0.26;5.4;0.03;15;94;0.99045;3.15;0.38;12.7;6 +6.9;0.56;0.26;10.9;0.06;55;193;0.9969;3.21;0.44;9.4;5 +7.2;0.24;0.24;1.7;0.045;18;161;0.99196;3.25;0.53;11.2;6 +6.5;0.29;0.3;9.15;0.051;25;166;0.99339;3.24;0.56;11.3333333333333;6 +6.7;0.28;0.28;4.5;0.051;14;92;0.99224;3.36;0.58;11.9;6 +6.5;0.29;0.3;9.15;0.051;25;166;0.99339;3.24;0.56;11.35;6 +6.1;0.21;0.19;1.4;0.046;51;131;0.99184;3.22;0.39;10.5;5 +7.2;0.47;0.16;5.9;0.048;14;125;0.99428;3.09;0.49;9.8;5 +6.7;0.34;0.31;16.4;0.051;20;146;0.99834;3.06;0.54;9.1;5 +6.6;0.27;0.25;1.2;0.033;36;111;0.98918;3.16;0.37;12.4;6 +6.7;0.34;0.31;16.4;0.051;20;146;0.99834;3.06;0.54;9.1;5 +7.2;0.47;0.16;5.9;0.048;14;125;0.99428;3.09;0.49;9.8;5 +5;0.35;0.25;7.8;0.031;24;116;0.99241;3.39;0.4;11.3;6 +5;0.35;0.25;7.8;0.031;24;116;0.99241;3.39;0.4;11.3;6 +4.4;0.46;0.1;2.8;0.024;31;111;0.98816;3.48;0.34;13.1;6 +6.6;0.38;0.29;2.9;0.035;15;101;0.98916;3.04;0.37;12.5;6 +7.3;0.3;0.25;2.5;0.045;32;122;0.99329;3.18;0.54;10.3;5 +6.4;0.28;0.22;12.8;0.039;51;150;0.99535;3.23;0.43;10.7;6 +6.9;0.29;0.25;12.2;0.04;29;136;0.99552;3.05;0.65;10.4;6 +6.3;0.3;0.19;7.7;0.049;47;184;0.99514;3.22;0.48;9.5;5 +6.3;0.39;0.22;2.8;0.048;53;173;0.99304;3.24;0.45;9.8;5 +6.6;0.38;0.29;2.9;0.035;15;101;0.98916;3.04;0.37;12.5;6 +6.6;0.18;0.26;17.3;0.051;17;149;0.9984;3;0.43;9.4;6 +6;0.28;0.29;19.3;0.051;36;174;0.99911;3.14;0.5;9;5 +6;0.28;0.29;19.3;0.051;36;174;0.99911;3.14;0.5;9;5 +6;0.28;0.29;19.3;0.051;36;174;0.99911;3.14;0.5;9;5 +6.6;0.35;0.26;2.7;0.045;19;129;0.98952;3.24;0.48;13;7 +5.9;0.22;0.18;6.4;0.041;28;120;0.99403;3.27;0.5;9.9;5 +6.6;0.18;0.26;17.3;0.051;17;149;0.9984;3;0.43;9.4;6 +7.7;0.28;0.24;2.4;0.044;29;157;0.99312;3.27;0.56;10.6;6 +7.1;0.42;0.2;2.8;0.038;28;109;0.98968;3.23;0.47;13.4;6 +6.7;0.32;0.32;1.7;0.031;31;114;0.98946;3.12;0.35;12.5;6 +6.6;0.26;0.56;15.4;0.053;32;141;0.9981;3.11;0.49;9.3;5 +6.6;0.26;0.56;15.4;0.053;32;141;0.9981;3.11;0.49;9.3;5 +6.2;0.32;0.24;4.1;0.051;34;149;0.99306;3.36;0.52;11;5 +6.3;0.25;0.27;6.6;0.054;40;158;0.99378;3.2;0.48;10.3;5 +6.2;0.21;0.24;1.2;0.051;31;95;0.99036;3.24;0.57;11.3;6 +6.4;0.23;0.27;2.1;0.042;35;100;0.99094;3.03;0.63;10.9;6 +4.7;0.145;0.29;1;0.042;35;90;0.9908;3.76;0.49;11.3;6 +6.2;0.2;0.28;1.1;0.039;24;78;0.9899;3.36;0.47;12.1;6 +7;0.28;0.28;1.4;0.039;12;83;0.99173;3.18;0.65;11.1;5 +7.1;0.36;0.2;1.6;0.271;24;140;0.99356;3.11;0.63;9.8;5 +5.7;0.25;0.22;9.8;0.049;50;125;0.99571;3.2;0.45;10.1;6 +5.7;0.22;0.33;1.9;0.036;37;110;0.98945;3.26;0.58;12.4;6 +6;0.2;0.38;1.3;0.034;37;104;0.98865;3.11;0.52;12.7;6 +6.4;0.32;0.26;7.9;0.05;53;180;0.99514;3.14;0.5;9.6;5 +6.4;0.32;0.26;7.9;0.05;53;180;0.99514;3.14;0.5;9.6;5 +6;0.555;0.26;4.5;0.053;17;126;0.9943;3.24;0.46;9.1;5 +5.9;0.22;0.45;22.6;0.12;55;122;0.99636;3.1;0.35;12.8;5 +6.4;0.32;0.26;7.9;0.05;53;180;0.99514;3.14;0.5;9.6;5 +6.2;0.3;0.33;3.5;0.037;37;155;0.98987;3.18;0.37;12.4;6 +5.8;0.28;0.18;1.2;0.058;7;108;0.99288;3.23;0.58;9.55;4 +5.8;0.555;0.26;4.5;0.053;17;126;0.9943;3.24;0.46;9.1;5 +6.7;0.31;0.33;2;0.033;12;74;0.99064;3.29;0.65;12.5;6 +6.4;0.15;0.25;7.8;0.05;13;68;0.99394;3.16;0.4;9.9;6 +6.4;0.13;0.28;0.9;0.045;32;87;0.99175;3.47;0.52;11.2;6 +6.7;0.48;0.49;2.9;0.03;28;122;0.98926;3.13;0.4;13;6 +6.7;0.48;0.49;2.9;0.03;28;122;0.98926;3.13;0.4;13;6 +5.8;0.3;0.33;3.5;0.033;25;116;0.99057;3.2;0.44;11.7;6 +6.1;0.28;0.23;4.2;0.038;13;95;0.98898;2.97;0.7;13.1;6 +6;0.19;0.37;9.7;0.032;17;50;0.9932;3.08;0.66;12;6 +6.8;0.31;0.25;10.5;0.043;30;165;0.9972;3.36;0.55;10.55;6 +7.5;0.24;0.29;1.1;0.046;34;84;0.9902;3.04;0.39;11.45;6 +6.8;0.23;0.39;16.1;0.053;71;194;0.9988;3.18;0.64;10.2;6 +7.5;0.24;0.29;1.1;0.046;34;84;0.9902;3.04;0.39;11.45;6 +6.3;0.29;0.3;8.1;0.212;60;150;0.9958;3.1;0.4;9.3;5 +6.8;0.2;0.25;6.2;0.052;22;106;0.9935;3.09;0.54;10.8;5 +5.2;0.38;0.26;7.7;0.053;20;103;0.9925;3.27;0.45;12.2;6 +7.8;0.27;0.33;2.4;0.053;36;175;0.992;3.2;0.55;11;6 +6.6;0.54;0.21;16.3;0.055;41;182;0.9986;3.35;0.54;10.4;6 +7.1;0.25;0.31;2.3;0.05;32;156;0.9914;3.14;0.51;11.4;6 +5.8;0.61;0.01;8.4;0.041;31;104;0.9909;3.26;0.72;14.05;7 +6.5;0.32;0.23;8.5;0.051;20;138;0.9943;3.03;0.42;10.7;5 +6.4;0.28;0.23;6;0.051;50;162;0.994;3.15;0.52;10.2;5 +6.6;0.19;0.28;1.1;0.044;38;100;0.9904;3.22;0.69;11.2;6 +5.1;0.305;0.13;1.75;0.036;17;73;0.99;3.4;0.51;12.3333333333333;5 +5.8;0.26;0.3;2.6;0.034;75;129;0.9902;3.2;0.38;11.5;4 +6.7;0.23;0.17;1.3;0.061;14;100;0.9925;3.07;0.55;9.5;5 +6.8;0.33;0.3;2.1;0.047;35;147;0.9886;3.24;0.56;13.4;6 +6.1;0.27;0.32;1.1;0.034;24;110;0.9898;3.36;0.4;12.5;6 +6.1;0.27;0.32;1.1;0.034;24;110;0.9898;3.36;0.4;12.5;6 +6.8;0.4;0.29;2.8;0.044;27;97;0.9904;3.12;0.42;11.2;6 +6.1;0.4;0.18;9;0.051;28.5;259;0.9964;3.19;0.5;8.8;5 +7.1;0.28;0.26;2.8;0.039;50;118;0.9908;3.06;0.59;11.2;6 +6.2;0.32;0.32;2.2;0.036;15;70;0.9899;3.16;0.48;12.7;6 +6.8;0.17;0.17;5.1;0.049;26;82;0.993;3;0.38;9.8;6 +9;0.2;0.33;3.5;0.049;10;40;0.9944;3.14;0.36;9.8;6 +5.8;0.13;0.22;12.7;0.058;24;183;0.9956;3.32;0.42;11.7;6 +5.8;0.31;0.31;7.5;0.052;55;230;0.9949;3.19;0.46;9.8;5 +6.3;0.36;0.2;2;0.048;48;191;0.9929;3.17;0.51;9.6;5 +9;0.2;0.33;3.5;0.049;10;40;0.9944;3.14;0.36;9.8;6 +6.7;0.18;0.25;14.3;0.048;79;149;0.9975;3.12;0.37;9.7;5 +6.6;0.16;0.25;9.8;0.049;59.5;137;0.995;3.16;0.38;10;6 +5.8;0.13;0.22;12.7;0.058;24;183;0.9956;3.32;0.42;11.7;6 +5.8;0.27;0.22;12.7;0.058;42;206;0.9946;3.32;0.38;12.3;6 +6.8;0.17;0.17;5.1;0.049;26;82;0.993;3;0.38;9.8;6 +6.4;0.37;0.19;3.5;0.068;18;101;0.9934;3.03;0.38;9;6 +7.3;0.26;0.53;12.7;0.047;60.5;164.5;0.9984;3.06;0.45;9.1;6 +7.3;0.28;0.54;12.9;0.049;62;162.5;0.9984;3.06;0.45;9.1;6 +7.3;0.28;0.54;12.9;0.049;62;162.5;0.9984;3.06;0.45;9.1;6 +5.8;0.12;0.21;1.3;0.056;35;121;0.9908;3.32;0.33;11.4;6 +6.1;0.25;0.18;10.5;0.049;41;124;0.9963;3.14;0.35;10.5;5 +6.4;0.24;0.27;1.5;0.04;35;105;0.98914;3.13;0.3;12.4;6 +7.3;0.26;0.53;12.7;0.047;60.5;156;0.9984;3.06;0.45;9.1;6 +7.3;0.28;0.54;12.9;0.049;62;152;0.9984;3.06;0.45;9.1;6 +8.3;0.18;0.37;1.2;0.049;6;94;0.9937;3.18;0.52;10.1;5 +7.1;0.09;0.3;6.2;0.032;24;134;0.993;2.99;0.39;10.9;6 +8.3;0.14;0.36;8.8;0.026;13;60;0.9956;3.13;0.35;11.05;5 +5.8;0.28;0.3;3.9;0.026;36;105;0.98963;3.26;0.58;12.75;6 +6;0.23;0.34;1.3;0.025;23;111;0.98961;3.36;0.37;12.7;6 +6.9;0.28;0.37;9.1;0.037;16;76;0.9948;3.05;0.54;11.1;5 +6.9;0.28;0.37;9.1;0.037;16;76;0.9948;3.05;0.54;11.1;5 +5.8;0.28;0.3;3.9;0.026;36;105;0.98963;3.26;0.58;12.75;6 +6.3;0.25;0.53;1.8;0.021;41;101;0.989315;3.19;0.31;13;6 +6.5;0.2;0.31;2.1;0.033;32;95;0.989435;2.96;0.61;12;6 +5.9;0.29;0.32;1.4;0.022;17;47;0.9899;3.35;0.35;11.5;6 +6.4;0.46;0.22;14.7;0.047;51;183;0.998275;3.39;0.6;10.5;5 +6.9;0.28;0.37;9.1;0.037;16;76;0.9948;3.05;0.54;11.1;5 +6.8;0.23;0.33;1.9;0.047;20;101;0.9914;3.1;0.46;11.1;6 +7;0.23;0.32;1.8;0.048;25;113;0.9915;3.11;0.47;11.1;6 +6.4;0.55;0.26;9.6;0.027;20;104;0.9924;3.22;0.73;13.1;6 +5.7;0.28;0.3;3.9;0.026;36;105;0.98963;3.26;0.58;12.75;6 +6;0.23;0.34;1.3;0.025;23;111;0.98961;3.36;0.37;12.7;6 +6.8;0.45;0.3;11.8;0.094;23;97;0.997;3.09;0.44;9.6;5 +6.1;0.2;0.4;1.9;0.028;32;138;0.9914;3.26;0.72;11.7;5 +6.1;0.37;0.46;12;0.042;61;210;0.997;3.17;0.59;9.7;6 +5.9;0.21;0.23;7.9;0.033;22;130;0.9944;3.38;0.59;10.9;6 +6.9;0.22;0.32;9.3;0.04;22;110;0.9958;3.34;0.54;10.7;7 +5.4;0.27;0.22;4.6;0.022;29;107;0.98889;3.33;0.54;13.8;6 +6;0.26;0.26;2.2;0.035;10;72;0.989465;3.11;0.48;12.15;6 +5.6;0.18;0.3;10.2;0.028;28;131;0.9954;3.49;0.42;10.8;7 +5.6;0.26;0.27;10.6;0.03;27;119;0.9947;3.4;0.34;10.7;7 +7;0.23;0.35;1.4;0.036;31;113;0.9912;3.16;0.48;10.8;7 +5.8;0.28;0.66;9.1;0.039;26;159;0.9965;3.66;0.55;10.8;5 +8.6;0.36;0.26;11.1;0.03;43.5;171;0.9948;3.03;0.49;12;5 +5.8;0.28;0.66;9.1;0.039;26;159;0.9965;3.66;0.55;10.8;5 +6.4;0.3;0.27;4.4;0.055;17;135;0.9925;3.23;0.44;12.2;6 +6.2;0.2;0.32;2.8;0.05;17;126;0.9936;3.18;0.55;9.4;6 +5.8;0.29;0.15;1.1;0.029;12;83;0.9898;3.3;0.4;11.4;6 +5.7;0.22;0.28;1.3;0.027;26;101;0.98948;3.35;0.38;12.5;7 +5.6;0.22;0.32;1.2;0.024;29;97;0.98823;3.2;0.46;13.05;7 +6.8;0.32;0.23;3.3;0.026;31;99;0.9896;3.1;0.4;12.4;6 +6.2;0.2;0.26;9.7;0.03;39;102;0.9908;3.08;0.56;12.9;7 +6.1;0.35;0.24;2.3;0.034;25;133;0.9906;3.34;0.59;12;7 +5.9;0.3;0.29;1.1;0.036;23;56;0.9904;3.19;0.38;11.3;5 +6.3;0.15;0.34;11.4;0.05;25;96;0.99754;3.21;0.49;10;6 +4.8;0.13;0.32;1.2;0.042;40;98;0.9898;3.42;0.64;11.8;7 +6;0.2;0.26;14.7;0.045;53;125;0.998365;2.99;0.69;9.4;6 +5.7;0.2;0.24;13.8;0.047;44;112;0.99837;2.97;0.66;8.8;6 +6;0.27;0.26;1.3;0.038;32;138;0.99125;3.46;0.43;11.1;6 +6.3;0.37;0.51;6.3;0.048;35;146;0.9943;3.1;1.01;10.5;6 +6.4;0.23;0.37;7.9;0.05;60;150;0.99488;2.86;0.49;9.3;6 +5.9;0.34;0.25;2;0.042;12;110;0.99034;3.02;0.54;11.4;6 +5;0.33;0.23;11.8;0.03;23;158;0.99322;3.41;0.64;11.8;6 +5.4;0.29;0.38;1.2;0.029;31;132;0.98895;3.28;0.36;12.4;6 +8;0.33;0.35;10;0.035;22;108;0.99457;3.12;0.36;11.6;6 +6.4;0.3;0.33;5.2;0.05;30;137;0.99304;3.26;0.58;11.1;5 +5.4;0.29;0.38;1.2;0.029;31;132;0.98895;3.28;0.36;12.4;6 +6.4;0.33;0.3;7.2;0.041;42;168;0.99331;3.22;0.49;11.1;6 +7;0.33;0.78;9.9;0.042;21;251;0.99435;3.01;0.55;11;6 +6.7;0.45;0.3;5.3;0.036;27;165;0.99122;3.12;0.46;12.2;6 +6.5;0.36;0.31;13.55;0.053;20;113;0.99544;3.2;0.56;11;6 +5.8;0.42;0.3;2.2;0.035;26;129;0.989;3.32;0.47;12.9;6 +7.1;0.39;0.3;9.9;0.037;29;124;0.99414;3.07;0.42;10.9;6 +6.7;0.53;0.29;4.3;0.069;20;114;0.99014;3.22;0.59;13.4;6 +6.7;0.66;0;13;0.033;32;75;0.99551;3.15;0.5;10.7;6 +6.5;0.36;0.31;13.55;0.053;20;113;0.99544;3.2;0.56;11;6 +6.5;0.16;0.33;1;0.027;23;75;0.9908;3.3;0.39;11.4;7 +8.3;0.22;0.34;1.1;0.043;20;116;0.9927;3;0.47;10.2;6 +6.9;0.23;0.35;6.9;0.03;45;116;0.99244;2.8;0.54;11;6 +6.4;0.17;0.34;13.4;0.044;45;139;0.99752;3.06;0.43;9.1;6 +5;0.33;0.18;4.6;0.032;40;124;0.99114;3.18;0.4;11;6 +6.8;0.38;0.29;9.9;0.037;40;146;0.99326;3.11;0.37;11.5;6 +6.5;0.29;0.32;3;0.036;38;93;0.9906;3.16;0.59;12;6 +6.9;0.29;0.32;5.8;0.04;16;112;0.993;3.04;0.58;11.2;5 +6.6;0.28;0.3;12.9;0.033;31;177;0.99479;3.12;0.39;11.2;6 +6.2;0.36;0.27;3.2;0.032;13;73;0.98942;2.9;0.69;12.6;7 +6;0.615;0.04;0.8;0.032;8;50;0.99036;3.14;0.4;11;4 +5.9;0.44;0.36;2.5;0.03;12;73;0.99201;3.22;0.48;10.8;6 +5.9;0.42;0.36;2.4;0.034;19;77;0.99184;3.25;0.48;10.9;5 +5.8;0.34;0.21;7.2;0.041;48;146;0.99441;3.16;0.49;9.8;5 +5.8;0.27;0.2;7.3;0.04;42;145;0.99442;3.15;0.48;9.8;5 +7.1;0.33;0.18;6.3;0.094;27;166;0.99474;2.9;0.49;9.5;5 +6.1;0.44;0.28;4.25;0.032;43;132;0.9916;3.26;0.47;11.2666666666667;7 +7.3;0.28;0.37;1.2;0.039;26;99;0.99198;3.01;0.62;10.8;5 +5.2;0.5;0.18;2;0.036;23;129;0.98949;3.36;0.77;13.4;7 +6.1;0.44;0.28;4.25;0.032;43;132;0.9916;3.26;0.47;11.3;7 +6.4;0.62;0.12;4.7;0.06;33;196;0.99556;3.22;0.48;8.9;5 +6.4;0.38;0.19;4.5;0.038;36;119;0.99151;3.07;0.42;11.2;6 +7.5;0.305;0.38;1.4;0.047;30;95;0.99158;3.22;0.52;11.5;7 +6.5;0.5;0.22;4.1;0.036;35;131;0.9902;3.26;0.55;13;7 +6.6;0.4;0.3;5.3;0.038;20;125;0.99204;3.36;0.73;12.6;6 +6.4;0.4;0.25;4.2;0.032;15;91;0.98988;3.26;0.52;13.1;6 +8.3;0.49;0.23;6.65;0.034;6;158;0.99344;3.05;0.48;11.2;5 +6.3;0.3;0.91;8.2;0.034;50;199;0.99394;3.39;0.49;11.7;6 +6.1;0.19;0.37;2.6;0.041;24;99;0.99153;3.18;0.5;10.9;6 +6.1;0.19;0.37;2.6;0.041;24;99;0.99153;3.18;0.5;10.9;6 +5.6;0.24;0.34;2;0.041;14;73;0.98981;3.04;0.45;11.6;7 +5.7;0.25;0.32;12.2;0.041;43;127;0.99524;3.23;0.53;10.4;7 +6.6;0.21;0.39;2.3;0.041;31;102;0.99221;3.22;0.58;10.9;7 +6.3;0.3;0.91;8.2;0.034;50;199;0.99394;3.39;0.49;11.7;6 +6.2;0.28;0.41;5;0.043;50;188;0.99318;3.23;0.64;10.8;6 +5.8;0.29;0.38;10.7;0.038;49;136;0.99366;3.11;0.59;11.2;6 +5.8;0.345;0.15;10.8;0.033;26;120;0.99494;3.25;0.49;10;6 +6.5;0.51;0.25;1.7;0.048;39;177;0.99212;3.28;0.57;10.5666666666667;5 +6;0.24;0.41;1.3;0.036;42;118;0.99018;3.04;0.64;11.7333333333333;6 +6.5;0.51;0.25;1.7;0.048;39;177;0.99212;3.28;0.57;10.6;5 +6.9;0.54;0.26;12.7;0.049;59;195;0.99596;3.26;0.54;10.5;6 +6;0.24;0.41;1.3;0.036;42;118;0.99018;3.04;0.64;11.75;6 +6.6;0.26;0.36;1.2;0.035;43;126;0.99094;3.01;0.63;11.4;6 +5.7;0.24;0.3;1.3;0.03;25;98;0.98968;3.37;0.43;12.4;7 +6.5;0.21;0.35;5.7;0.043;47;197;0.99392;3.24;0.5;10.1;6 +6.8;0.29;0.22;3.4;0.035;40;122;0.99024;3.09;0.47;12.3;6 +5;0.24;0.34;1.1;0.034;49;158;0.98774;3.32;0.32;13.1;7 +5.9;0.18;0.28;1;0.037;24;88;0.99094;3.29;0.55;10.65;7 +5.8;0.26;0.29;1;0.042;35;101;0.99044;3.36;0.48;11.4;7 +6.7;0.61;0.21;1.65;0.117;40;240;0.9938;3.11;0.57;9.3;5 +5.7;0.695;0.06;6.8;0.042;9;84;0.99432;3.44;0.44;10.2;5 +5.6;0.695;0.06;6.8;0.042;9;84;0.99432;3.44;0.44;10.2;5 +5.7;0.39;0.25;4.9;0.033;49;113;0.98966;3.26;0.58;13.1;7 +6.1;0.38;0.47;1.4;0.051;59;210;0.99309;3.24;0.5;9.6;5 +6.3;0.36;0.28;2.5;0.035;18;73;0.98868;3.1;0.47;12.8;7 +6;0.29;0.41;10.8;0.048;55;149;0.9937;3.09;0.59;10.9666666666667;7 +6;0.29;0.41;10.8;0.048;55;149;0.9937;3.09;0.59;10.9666666666667;7 +6;0.29;0.41;10.8;0.048;55;149;0.9937;3.09;0.59;10.9666666666667;7 +6;0.29;0.41;10.8;0.048;55;149;0.9937;3.09;0.59;11;7 +7.1;0.43;0.25;2.8;0.036;43;132;0.98975;3.21;0.47;13.4;6 +6.6;0.25;0.25;1.3;0.04;28;85;0.98984;2.87;0.48;11.2;6 +6.6;0.33;0.41;2;0.027;14;79;0.99063;3.27;0.63;12.4;6 +8;0.23;0.41;1.1;0.048;35;150;0.99168;3.09;0.47;11.2;5 +7.3;0.17;0.36;8.2;0.028;44;111;0.99272;3.14;0.41;12.4;6 +6;0.17;0.33;6;0.036;30;111;0.99362;3.32;0.58;10.1333333333333;7 +6.1;0.16;0.34;6.1;0.034;31;114;0.99365;3.32;0.58;10.1333333333333;7 +7.3;0.17;0.36;8.2;0.028;44;111;0.99272;3.14;0.41;12.4;6 +6.4;0.31;0.53;8.8;0.057;36;221;0.99642;3.17;0.44;9.1;5 +6.1;0.16;0.34;6.1;0.034;31;114;0.99365;3.32;0.58;10.15;7 +6;0.17;0.33;6;0.036;30;111;0.99362;3.32;0.58;10.15;7 +5.9;0.44;0.33;1.2;0.049;12;117;0.99134;3.46;0.44;11.5;5 +6.6;0.285;0.49;11.4;0.035;57;137;0.99732;3.08;0.54;8.9;6 +4.9;0.335;0.14;1.3;0.036;69;168;0.99212;3.47;0.46;10.4666666666667;5 +4.9;0.335;0.14;1.3;0.036;69;168;0.99212;3.47;0.46;10.4666666666667;5 +6;0.28;0.52;6.2;0.028;37;104;0.99161;3.28;0.51;11.8;7 +5.8;0.35;0.29;3.2;0.034;41;151;0.9912;3.35;0.58;11.6333333333333;7 +5.7;0.21;0.37;4.5;0.04;58;140;0.99332;3.29;0.62;10.6;6 +6.5;0.25;0.32;9.9;0.045;41;128;0.99636;3.18;0.52;9.6;6 +6;0.28;0.52;6.2;0.028;37;104;0.99161;3.28;0.51;11.8;7 +6.6;0.285;0.49;11.4;0.035;57;137;0.99732;3.08;0.54;8.9;6 +4.7;0.335;0.14;1.3;0.036;69;168;0.99212;3.47;0.46;10.5;5 +6.8;0.63;0.04;1.3;0.058;25;133;0.99271;3.17;0.39;10.2;4 +5.6;0.27;0.37;0.9;0.025;11;49;0.98845;3.29;0.33;13.1;6 +6.8;0.32;0.33;0.7;0.027;15;66;0.9899;3.11;0.31;11.8;6 +6.5;0.33;0.32;1;0.041;39;120;0.99004;3.06;0.37;12.2;6 +6;0.24;0.34;1;0.036;52;184;0.99097;3.44;0.44;11.45;6 +7.2;0.26;0.32;10.4;0.062;23;114;0.9966;3.23;0.49;10.5;5 +6.8;0.63;0.04;1.3;0.058;25;133;0.99271;3.17;0.39;10.2;4 +6.7;0.16;0.32;12.5;0.035;18;156;0.99666;2.88;0.36;9;6 +6.7;0.16;0.32;12.5;0.035;18;156;0.99666;2.88;0.36;9;6 +6.7;0.16;0.32;12.5;0.035;18;156;0.99666;2.88;0.36;9;6 +6.7;0.16;0.32;12.5;0.035;18;156;0.99666;2.88;0.36;9;6 +6.9;0.19;0.31;19.25;0.043;38;167;0.99954;2.93;0.52;9.1;7 +6;0.36;0.32;1.1;0.053;26;173;0.99414;3.38;0.54;8.8;5 +6.7;0.16;0.32;12.5;0.035;18;156;0.99666;2.88;0.36;9;6 +6.9;0.19;0.31;19.25;0.043;38;167;0.99954;2.93;0.52;9.1;7 +6.7;0.35;0.32;9;0.032;29;113;0.99188;3.13;0.65;12.9;7 +6.1;0.15;0.4;1.2;0.03;19;84;0.98926;3.19;0.96;13;6 +6.7;0.35;0.32;9;0.032;29;113;0.99188;3.13;0.65;12.9;7 +7;0.27;0.74;1.3;0.173;34;121;0.99334;3.04;0.46;9.2;6 +6.8;0.3;0.33;12.8;0.041;60;168;0.99659;3.1;0.56;9.8;5 +6.8;0.3;0.33;12.8;0.041;60;168;0.99659;3.1;0.56;9.8;5 +6.4;0.69;0.09;7.6;0.044;34;144;0.9948;3.26;0.38;10.1;6 +6.4;0.69;0.09;7.6;0.044;34;144;0.9948;3.26;0.38;10.1;6 +5.9;0.12;0.28;1.4;0.037;36;83;0.99074;3.33;0.42;10.9;7 +6.3;0.36;0.5;8.3;0.053;51;202;0.9955;3.2;0.51;9.6;6 +5.7;0.27;0.16;9;0.053;32;111;0.99474;3.36;0.37;10.4;6 +6.1;0.22;0.4;1.85;0.031;25;111;0.98966;3.03;0.3;11.8;7 +5.6;0.205;0.16;12.55;0.051;31;115;0.99564;3.4;0.38;10.8;6 +7.2;0.33;0.28;1.4;0.034;26;109;0.99246;3.28;0.57;10.6;6 +5.9;0.21;0.31;1.8;0.033;45;142;0.98984;3.35;0.5;12.7;6 +5.4;0.33;0.31;4;0.03;27;108;0.99031;3.3;0.43;12.2;7 +5.4;0.205;0.16;12.55;0.051;31;115;0.99564;3.4;0.38;10.8;6 +5.7;0.27;0.16;9;0.053;32;111;0.99474;3.36;0.37;10.4;6 +6.4;0.28;0.28;3;0.04;19;98;0.99216;3.25;0.47;11.1;6 +6.1;0.22;0.4;1.85;0.031;25;111;0.98966;3.03;0.3;11.8;7 +6.7;0.15;0.32;7.9;0.034;17;81;0.99512;3.29;0.31;10;6 +5.5;0.315;0.38;2.6;0.033;10;69;0.9909;3.12;0.59;10.8;6 +4.8;0.225;0.38;1.2;0.074;47;130;0.99132;3.31;0.4;10.3;6 +5.2;0.24;0.15;7.1;0.043;32;134;0.99378;3.24;0.48;9.9;6 +6.7;0.15;0.32;7.9;0.034;17;81;0.99512;3.29;0.31;10;6 +6.6;0.27;0.32;1.3;0.044;18;93;0.99044;3.11;0.56;12.25;5 +6.1;0.32;0.33;10.7;0.036;27;98;0.99521;3.34;0.52;10.2;6 +6;0.25;0.28;7.7;0.053;37;132;0.99489;3.06;0.5;9.4;6 +6.4;0.42;0.46;8.4;0.05;58;180;0.99495;3.18;0.46;9.7;6 +6.1;0.32;0.33;10.7;0.036;27;98;0.99521;3.34;0.52;10.2;6 +6.9;0.31;0.33;12.7;0.038;33;116;0.9954;3.04;0.65;10.4;6 +6.3;0.48;0.48;1.8;0.035;35;96;0.99121;3.49;0.74;12.2;6 +6;0.25;0.28;7.7;0.053;37;132;0.99489;3.06;0.5;9.4;6 +7.2;0.21;0.31;10.5;0.035;36;122;0.99478;3.12;0.4;10.6;6 +6.8;0.32;0.43;1.6;0.05;4;65;0.99346;3.27;0.47;10.7;5 +7.9;0.3;0.6;1.85;0.048;13;106;0.99331;3.24;0.49;11.85;5 +5.3;0.31;0.38;10.5;0.031;53;140;0.99321;3.34;0.46;11.7;6 +5.3;0.31;0.38;10.5;0.031;53;140;0.99321;3.34;0.46;11.7;6 +5.2;0.185;0.22;1;0.03;47;123;0.99218;3.55;0.44;10.15;6 +5.5;0.16;0.31;1.2;0.026;31;68;0.9898;3.33;0.44;11.6333333333333;6 +6;0.17;0.36;1.7;0.042;14;61;0.99144;3.22;0.54;10.8;6 +6;0.16;0.36;1.6;0.042;13;61;0.99143;3.22;0.54;10.8;6 +6.1;0.24;0.32;9;0.031;41;134;0.99234;3.25;0.26;12.3;7 +5.5;0.3;0.25;1.9;0.029;33;118;0.98972;3.36;0.66;12.5;6 +5.5;0.16;0.31;1.2;0.026;31;68;0.9898;3.33;0.44;11.65;6 +6;0.32;0.46;1.5;0.05;56;189;0.99308;3.24;0.49;9.6;5 +6.1;0.27;0.31;3.9;0.034;42;137;0.99218;3.24;0.46;10.9;6 +6;0.27;0.32;3.6;0.035;36;133;0.99215;3.23;0.46;10.8;6 +6;0.14;0.37;1.2;0.032;63;148;0.99185;3.32;0.44;11.2;5 +5;0.24;0.19;5;0.043;17;101;0.99438;3.67;0.57;10;5 +6.1;0.26;0.25;2.9;0.047;289;440;0.99314;3.44;0.64;10.5;3 +6.3;0.23;0.5;10.4;0.043;61;132;0.99542;2.86;0.46;9.1;6 +5.6;0.26;0.5;11.4;0.029;25;93;0.99428;3.23;0.49;10.5;6 +6.1;0.34;0.24;18.35;0.05;33;184;0.99943;3.12;0.61;9.3;5 +6.2;0.35;0.25;18.4;0.051;28;182;0.99946;3.13;0.62;9.3;6 +6;0.14;0.37;1.2;0.032;63;148;0.99185;3.32;0.44;11.2;5 +7.3;0.36;0.62;7.1;0.033;48;185;0.99472;3.14;0.62;10.6;6 +5.1;0.25;0.36;1.3;0.035;40;78;0.9891;3.23;0.64;12.1;7 +5.5;0.16;0.26;1.5;0.032;35;100;0.99076;3.43;0.77;12;6 +6.4;0.19;0.35;10.2;0.043;40;106;0.99632;3.16;0.5;9.7;6 +6.6;0.29;0.73;2.2;0.027;21;92;0.99;3.12;0.48;12.4;6 +6;0.38;0.26;3.5;0.035;38;111;0.98872;3.18;0.47;13.6;7 +6;0.38;0.26;3.5;0.035;38;111;0.98872;3.18;0.47;13.6;7 +6.5;0.2;0.35;3.9;0.04;27;140;0.99102;2.98;0.53;11.8;6 +6.6;0.17;0.26;7.4;0.052;45;128;0.99388;3.16;0.37;10;6 +6.6;0.17;0.26;7.4;0.052;45;128;0.99388;3.16;0.37;10;6 +6.2;0.15;0.27;11;0.035;46;116;0.99602;3.12;0.38;9.1;6 +5.9;0.48;0.3;1.5;0.037;19;78;0.99057;3.47;0.42;11.9;7 +5.3;0.4;0.25;3.9;0.031;45;130;0.99072;3.31;0.58;11.75;7 +5.9;0.26;0.29;5.4;0.046;34;116;0.99224;3.24;0.41;11.4;6 +5.2;0.3;0.34;1.5;0.038;18;96;0.98942;3.56;0.48;13;8 +6.4;0.32;0.25;5;0.055;28;138;0.99171;3.27;0.5;12.4;8 +6.6;0.19;0.25;1.2;0.052;34;181;0.99352;3.3;0.42;9.4;7 +6.8;0.27;0.3;13;0.047;69;160;0.99705;3.16;0.5;9.6;6 +6.8;0.27;0.3;13;0.047;69;160;0.99705;3.16;0.5;9.6;6 +6.8;0.27;0.3;13;0.047;69;160;0.99705;3.16;0.5;9.6;6 +6.8;0.27;0.3;13;0.047;69;160;0.99705;3.16;0.5;9.6;6 +6.4;0.28;0.45;8.6;0.057;47;223;0.99654;3.16;0.51;9.1;5 +5.2;0.21;0.31;1.7;0.048;17;61;0.98953;3.24;0.37;12;7 +7.1;0.24;0.34;1.2;0.045;6;132;0.99132;3.16;0.46;11.2;4 +5;0.27;0.4;1.2;0.076;42;124;0.99204;3.32;0.47;10.1;6 +5.8;0.27;0.4;1.2;0.076;47;130;0.99185;3.13;0.45;10.3;6 +5.9;0.27;0.32;2;0.034;31;102;0.98952;3.16;0.56;12.3;6 +5.8;0.315;0.19;19.4;0.031;28;106;0.99704;2.97;0.4;10.55;6 +6;0.59;0;0.8;0.037;30;95;0.99032;3.1;0.4;10.9;4 +5.8;0.3;0.09;6.3;0.042;36;138;0.99382;3.15;0.48;9.7;5 +5.6;0.3;0.1;6.4;0.043;34;142;0.99382;3.14;0.48;9.8;5 +6.7;0.3;0.5;12.1;0.045;38;127;0.9974;3.04;0.53;8.9;6 +6.7;0.3;0.5;12.1;0.045;38;127;0.9974;3.04;0.53;8.9;6 +6.4;0.31;0.31;12.9;0.045;55;161;0.99546;3.02;0.59;10.2;5 +6.9;0.25;0.29;2.4;0.038;28;76;0.99088;3.01;0.36;11.7;7 +4.4;0.32;0.39;4.3;0.03;31;127;0.98904;3.46;0.36;12.8;8 +3.9;0.225;0.4;4.2;0.03;29;118;0.989;3.57;0.36;12.8;8 +6.4;0.31;0.31;12.9;0.045;55;161;0.99546;3.02;0.59;10.2;5 +5.5;0.62;0.33;1.7;0.037;24;118;0.98758;3.15;0.39;13.55;6 +6.2;0.3;0.42;2.2;0.036;28;128;0.9901;3.13;0.38;11.6;6 +6.7;0.3;0.5;12.1;0.045;38;127;0.9974;3.04;0.53;8.9;6 +4.7;0.785;0;3.4;0.036;23;134;0.98981;3.53;0.92;13.8;6 +6;0.31;0.32;7.4;0.175;47;159;0.9952;3.19;0.5;9.4;6 +6;0.32;0.3;7.3;0.174;46;159;0.99519;3.18;0.49;9.4;5 +6.4;0.105;0.29;1.1;0.035;44;140;0.99142;3.17;0.55;10.7;7 +6.4;0.105;0.29;1.1;0.035;44;140;0.99142;3.17;0.55;10.7;7 +5.7;0.33;0.32;1.4;0.043;28;93;0.9897;3.31;0.5;12.3;6 +5.9;0.32;0.19;14.5;0.042;37;115;0.99684;3.16;0.43;10.3;5 +6.2;0.26;0.2;8;0.047;35;111;0.99445;3.11;0.42;10.4;6 +6;0.2;0.33;1.1;0.039;45;126;0.99051;3.31;0.45;11.6;7 +6.4;0.105;0.29;1.1;0.035;44;140;0.99142;3.17;0.55;10.7;7 +5.8;0.28;0.34;2.2;0.037;24;125;0.98986;3.36;0.33;12.8;8 +6.4;0.31;0.5;5.8;0.038;42;111;0.99189;3.18;0.53;11.9;7 +6;0.35;0.46;0.9;0.033;9;65;0.98934;3.24;0.35;12.1;4 +5.1;0.26;0.34;6.4;0.034;26;99;0.99449;3.23;0.41;9.2;6 +6.6;0.28;0.09;10.9;0.051;37;131;0.99566;2.93;0.62;9.5;6 +6;0.17;0.3;7.3;0.039;39;104;0.99252;2.91;0.57;11;6 +7.3;0.35;0.67;8.3;0.053;10;100;0.9959;3.19;0.5;10.9;5 +6;0.26;0.24;1.3;0.053;66;150;0.9924;3.21;0.62;10.4;6 +5.4;0.375;0.4;3.3;0.054;29;147;0.99482;3.42;0.52;9.1;5 +7;0.17;0.42;1;0.075;19;71;0.99103;3.32;0.62;11.4;6 +5.1;0.26;0.33;1.1;0.027;46;113;0.98946;3.35;0.43;11.4;7 +5.8;0.36;0.5;1;0.127;63;178;0.99212;3.1;0.45;9.7;5 +5.7;0.4;0.35;5.1;0.026;17;113;0.99052;3.18;0.67;12.4;6 +6.2;0.76;0.01;3.2;0.041;18;120;0.99026;3.2;0.94;13.7;7 +6.1;0.41;0.2;12.6;0.032;54;136;0.99516;2.91;0.43;10.6;6 +5.8;0.385;0.25;3.7;0.031;38;122;0.99128;3.2;0.63;11.2;6 +6;0.27;0.4;1.7;0.021;18;82;0.9891;3.24;0.95;13.1333333333333;6 +5.7;0.4;0.35;5.1;0.026;17;113;0.99052;3.18;0.67;12.4;6 +5.8;0.36;0.5;1;0.127;63;178;0.99212;3.1;0.45;9.7;5 +7;0.24;0.47;1.3;0.043;18;131;0.99176;3.19;0.45;11;6 +6.8;0.23;0.48;1.5;0.036;35;165;0.99162;3.18;0.45;11.3;6 +6.5;0.28;0.34;4.6;0.054;22;130;0.99193;3.2;0.46;12;7 +6.4;0.23;0.35;10.3;0.042;54;140;0.9967;3.23;0.47;9.2;5 +6;0.34;0.29;6.1;0.046;29;134;0.99462;3.48;0.57;10.7;6 +6;0.34;0.29;6.1;0.046;29;134;0.99462;3.48;0.57;10.7;6 +6.7;0.22;0.33;1.2;0.036;36;86;0.99058;3.1;0.76;11.4;6 +6.4;0.23;0.35;10.3;0.042;54;140;0.9967;3.23;0.47;9.2;5 +6;0.32;0.33;9.9;0.032;22;90;0.99258;3.1;0.43;12.1;7 +5.8;0.29;0.27;1.6;0.062;17;140;0.99138;3.23;0.35;11.1;6 +5.8;0.38;0.26;1.1;0.058;20;140;0.99271;3.27;0.43;9.7;6 +5.9;0.32;0.26;1.5;0.057;17;141;0.9917;3.24;0.36;10.7;5 +5.6;0.33;0.28;1.2;0.031;33;97;0.99126;3.49;0.58;10.9;6 +5.9;0.37;0.3;1.5;0.033;35;95;0.98986;3.36;0.56;12;7 +5.6;0.295;0.26;1.1;0.035;40;102;0.99154;3.47;0.56;10.6;6 +6.7;0.5;0.36;11.5;0.096;18;92;0.99642;3.11;0.49;9.6;5 +6.5;0.28;0.38;7.8;0.031;54;216;0.99154;3.03;0.42;13.1;6 +5.3;0.275;0.24;7.4;0.038;28;114;0.99313;3.38;0.51;11;6 +5.2;0.405;0.15;1.45;0.038;10;44;0.99125;3.52;0.4;11.6;4 +6.8;0.34;0.36;8.9;0.029;44;128;0.99318;3.28;0.35;11.95;7 +5.7;0.22;0.25;1.1;0.05;97;175;0.99099;3.44;0.62;11.1;6 +6.2;0.28;0.57;1;0.043;50;92;0.99004;3.17;0.36;11.5;6 +5.6;0.34;0.25;2.5;0.046;47;182;0.99093;3.21;0.4;11.3;5 +4.8;0.29;0.23;1.1;0.044;38;180;0.98924;3.28;0.34;11.9;6 +6.6;0.38;0.29;2.4;0.136;15;93;0.99336;3.18;0.6;9.5;5 +5.1;0.3;0.3;2.3;0.048;40;150;0.98944;3.29;0.46;12.2;6 +4.4;0.54;0.09;5.1;0.038;52;97;0.99022;3.41;0.4;12.2;7 +7;0.36;0.35;2.5;0.048;67;161;0.99146;3.05;0.56;11.1;6 +6.4;0.33;0.44;8.9;0.055;52;164;0.99488;3.1;0.48;9.6;5 +7;0.36;0.35;2.5;0.048;67;161;0.99146;3.05;0.56;11.1;6 +6.4;0.33;0.44;8.9;0.055;52;164;0.99488;3.1;0.48;9.6;5 +6.2;0.23;0.38;1.6;0.044;12;113;0.99176;3.3;0.73;11.4;5 +5.2;0.25;0.23;1.4;0.047;20;77;0.99001;3.32;0.62;11.4;5 +6.2;0.35;0.29;3.9;0.041;22;79;0.99005;3.1;0.59;12.0666666666667;6 +7.1;0.23;0.39;13.7;0.058;26;172;0.99755;2.9;0.46;9;6 +7.1;0.23;0.39;13.7;0.058;26;172;0.99755;2.9;0.46;9;6 +7.5;0.38;0.33;9.2;0.043;19;116;0.99444;3.08;0.42;11.4;6 +6.4;0.35;0.51;7.8;0.055;53;177;0.99502;3.12;0.45;9.6;5 +6;0.43;0.34;7.6;0.045;25;118;0.99222;3.03;0.37;11;6 +6;0.52;0.33;7.7;0.046;24;119;0.99224;3.04;0.38;11;6 +5.5;0.31;0.29;3;0.027;16;102;0.99067;3.23;0.56;11.2;6 +5.9;0.22;0.3;1.3;0.052;42;86;0.99069;3.31;0.47;11.55;6 +6.2;0.36;0.32;4;0.036;44;92;0.98936;3.2;0.5;13.3;7 +6;0.41;0.23;1.1;0.066;22;148;0.99266;3.3;0.47;9.63333333333333;5 +6.2;0.355;0.35;2;0.046;31;95;0.98822;3.06;0.46;13.6;6 +5.7;0.41;0.21;1.9;0.048;30;112;0.99138;3.29;0.55;11.2;6 +5.3;0.6;0.34;1.4;0.031;3;60;0.98854;3.27;0.38;13;6 +5.8;0.23;0.31;4.5;0.046;42;124;0.99324;3.31;0.64;10.8;6 +6.6;0.24;0.33;10.1;0.032;8;81;0.99626;3.19;0.51;9.8;6 +6.1;0.32;0.28;6.6;0.021;29;132;0.99188;3.15;0.36;11.45;7 +5;0.2;0.4;1.9;0.015;20;98;0.9897;3.37;0.55;12.05;6 +6;0.42;0.41;12.4;0.032;50;179;0.99622;3.14;0.6;9.7;5 +5.7;0.21;0.32;1.6;0.03;33;122;0.99044;3.33;0.52;11.9;6 +5.6;0.2;0.36;2.5;0.048;16;125;0.99282;3.49;0.49;10;6 +7.4;0.22;0.26;1.2;0.035;18;97;0.99245;3.12;0.41;9.7;6 +6.2;0.38;0.42;2.5;0.038;34;117;0.99132;3.36;0.59;11.6;7 +5.9;0.54;0;0.8;0.032;12;82;0.99286;3.25;0.36;8.8;5 +6.2;0.53;0.02;0.9;0.035;6;81;0.99234;3.24;0.35;9.5;4 +6.6;0.34;0.4;8.1;0.046;68;170;0.99494;3.15;0.5;9.53333333333333;6 +6.6;0.34;0.4;8.1;0.046;68;170;0.99494;3.15;0.5;9.53333333333333;6 +5;0.235;0.27;11.75;0.03;34;118;0.9954;3.07;0.5;9.4;6 +5.5;0.32;0.13;1.3;0.037;45;156;0.99184;3.26;0.38;10.7;5 +4.9;0.47;0.17;1.9;0.035;60;148;0.98964;3.27;0.35;11.5;6 +6.5;0.33;0.38;8.3;0.048;68;174;0.99492;3.14;0.5;9.6;5 +6.6;0.34;0.4;8.1;0.046;68;170;0.99494;3.15;0.5;9.55;6 +6.2;0.21;0.28;5.7;0.028;45;121;0.99168;3.21;1.08;12.15;7 +6.2;0.41;0.22;1.9;0.023;5;56;0.98928;3.04;0.79;13;7 +6.8;0.22;0.36;1.2;0.052;38;127;0.9933;3.04;0.54;9.2;5 +4.9;0.235;0.27;11.75;0.03;34;118;0.9954;3.07;0.5;9.4;6 +6.1;0.34;0.29;2.2;0.036;25;100;0.98938;3.06;0.44;11.8;6 +5.7;0.21;0.32;0.9;0.038;38;121;0.99074;3.24;0.46;10.6;6 +6.5;0.23;0.38;1.3;0.032;29;112;0.99298;3.29;0.54;9.7;5 +6.2;0.21;0.29;1.6;0.039;24;92;0.99114;3.27;0.5;11.2;6 +6.6;0.32;0.36;8;0.047;57;168;0.9949;3.15;0.46;9.6;5 +6.5;0.24;0.19;1.2;0.041;30;111;0.99254;2.99;0.46;9.4;6 +5.5;0.29;0.3;1.1;0.022;20;110;0.98869;3.34;0.38;12.8;7 +6;0.21;0.38;0.8;0.02;22;98;0.98941;3.26;0.32;11.8;6 diff --git a/sagemaker-exercises/data/winequality.names.txt b/sagemaker-exercises/data/winequality.names.txt new file mode 100644 index 0000000..4e1de1f --- /dev/null +++ b/sagemaker-exercises/data/winequality.names.txt @@ -0,0 +1,72 @@ +Citation Request: + This dataset is public available for research. The details are described in [Cortez et al., 2009]. + Please include this citation if you plan to use this database: + + P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis. + Modeling wine preferences by data mining from physicochemical properties. + In Decision Support Systems, Elsevier, 47(4):547-553. ISSN: 0167-9236. + + Available at: [@Elsevier] http://dx.doi.org/10.1016/j.dss.2009.05.016 + [Pre-press (pdf)] http://www3.dsi.uminho.pt/pcortez/winequality09.pdf + [bib] http://www3.dsi.uminho.pt/pcortez/dss09.bib + +1. Title: Wine Quality + +2. Sources + Created by: Paulo Cortez (Univ. Minho), Antonio Cerdeira, Fernando Almeida, Telmo Matos and Jose Reis (CVRVV) @ 2009 + +3. Past Usage: + + P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis. + Modeling wine preferences by data mining from physicochemical properties. + In Decision Support Systems, Elsevier, 47(4):547-553. ISSN: 0167-9236. + + In the above reference, two datasets were created, using red and white wine samples. + The inputs include objective tests (e.g. PH values) and the output is based on sensory data + (median of at least 3 evaluations made by wine experts). Each expert graded the wine quality + between 0 (very bad) and 10 (very excellent). Several data mining methods were applied to model + these datasets under a regression approach. The support vector machine model achieved the + best results. Several metrics were computed: MAD, confusion matrix for a fixed error tolerance (T), + etc. Also, we plot the relative importances of the input variables (as measured by a sensitivity + analysis procedure). + +4. Relevant Information: + + The two datasets are related to red and white variants of the Portuguese "Vinho Verde" wine. + For more details, consult: http://www.vinhoverde.pt/en/ or the reference [Cortez et al., 2009]. + Due to privacy and logistic issues, only physicochemical (inputs) and sensory (the output) variables + are available (e.g. there is no data about grape types, wine brand, wine selling price, etc.). + + These datasets can be viewed as classification or regression tasks. + The classes are ordered and not balanced (e.g. there are munch more normal wines than + excellent or poor ones). Outlier detection algorithms could be used to detect the few excellent + or poor wines. Also, we are not sure if all input variables are relevant. So + it could be interesting to test feature selection methods. + +5. Number of Instances: red wine - 1599; white wine - 4898. + +6. Number of Attributes: 11 + output attribute + + Note: several of the attributes may be correlated, thus it makes sense to apply some sort of + feature selection. + +7. Attribute information: + + For more information, read [Cortez et al., 2009]. + + Input variables (based on physicochemical tests): + 1 - fixed acidity + 2 - volatile acidity + 3 - citric acid + 4 - residual sugar + 5 - chlorides + 6 - free sulfur dioxide + 7 - total sulfur dioxide + 8 - density + 9 - pH + 10 - sulphates + 11 - alcohol + Output variable (based on sensory data): + 12 - quality (score between 0 and 10) + +8. Missing Attribute Values: None diff --git a/sagemaker-exercises/floyd_requirements.txt b/sagemaker-exercises/floyd_requirements.txt new file mode 100644 index 0000000..b2ee79d --- /dev/null +++ b/sagemaker-exercises/floyd_requirements.txt @@ -0,0 +1,6 @@ +seaborn==0.8 +matplotlib==2.1.0 +numpy==1.13.3 +pandas==0.20.3 +ipython==6.2.1 +scikit_learn==0.19.1 diff --git a/sagemaker-exercises/game-of-wines-report.html b/sagemaker-exercises/game-of-wines-report.html new file mode 100644 index 0000000..d714fe9 --- /dev/null +++ b/sagemaker-exercises/game-of-wines-report.html @@ -0,0 +1,65750 @@ + + + +wine-app + + + + + + + + + + + + + + + + + + + +
+
+ +
+
+
+
+

Part 1: Using Data Science to Understand What Makes Wine Taste Good

+
+
+
+
+
+
+
+

Section 1: Data Exploration

In this section, we'll do some exploratory analysis to understand the nature of our data and the underlying distribution.

+ +
+
+
+
+
+
+
+

First, import some necessary libraries.

Click the below cell block and run it.

+
+
+
+
+
+
In [1]:
+
+
+
# Import libraries necessary for this project
+import numpy as np
+import pandas as pd
+from time import time
+from IPython.display import display # Allows the use of display() for displaying DataFrames
+
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+# Import supplementary visualization code visuals.py from project root folder
+import visuals as vs
+
+# Pretty display for notebooks
+%matplotlib inline
+
+ +
+
+
+ +
+
+
+
+
+

Usage of these libraries:

    +
  • numpy is a package in python that is used for scientific computing. It supports higher-order mathematical functions, higher dimensional arrays, matrices and other data structures.
  • +
  • pandas is a very popular library that is used for a lot of data analysis and statistics related problems.
  • +
  • time - standard module in python that allows for time related functions
  • +
  • display is a module in the IPython toolkit that helps you display data structures in a nice, readable format.
  • +
  • matplotlib is a very popular visualization library that lets you create a wide array of figures, charts and graphs in the IPython Notebook
  • +
  • seaborn is another visualization tool that uses matplotlib underneath, and provides you with easy-to-use APIs for visualization. It also makes your graphs more prettier!
  • +
+ +
+
+
+
+
+
+
+

Next, we'll load the dataset for red wines, and display the first 5 columns. Run the below cell block

+
+
+
+
+
+
In [2]:
+
+
+
# Load the Red Wines dataset
+data = pd.read_csv("data/winequality-red.csv", sep=';')
+
+# Display the first five records
+display(data.head(n=5))
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
07.40.700.001.90.07611.034.00.99783.510.569.45
17.80.880.002.60.09825.067.00.99683.200.689.85
27.80.760.042.30.09215.054.00.99703.260.659.85
311.20.280.561.90.07517.060.00.99803.160.589.86
47.40.700.001.90.07611.034.00.99783.510.569.45
+
+
+ +
+ +
+
+ +
+
+
+
+
+

Now, let's do some basic preliminary analysis of our data:

+
+
+
+
+
+
+
+

We'll begin by first seeing if our data has any missing information

+
+
+
+
+
+
In [3]:
+
+
+
data.isnull().any()
+
+ +
+
+
+ +
+
+ + +
+ +
Out[3]:
+ + + + +
+
fixed acidity           False
+volatile acidity        False
+citric acid             False
+residual sugar          False
+chlorides               False
+free sulfur dioxide     False
+total sulfur dioxide    False
+density                 False
+pH                      False
+sulphates               False
+alcohol                 False
+quality                 False
+dtype: bool
+
+ +
+ +
+
+ +
+
+
+
+
+

Examine the features in the data-set and their data types

+
+
+
+
+
+
In [4]:
+
+
+
data.info()
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
<class 'pandas.core.frame.DataFrame'>
+RangeIndex: 1599 entries, 0 to 1598
+Data columns (total 12 columns):
+fixed acidity           1599 non-null float64
+volatile acidity        1599 non-null float64
+citric acid             1599 non-null float64
+residual sugar          1599 non-null float64
+chlorides               1599 non-null float64
+free sulfur dioxide     1599 non-null float64
+total sulfur dioxide    1599 non-null float64
+density                 1599 non-null float64
+pH                      1599 non-null float64
+sulphates               1599 non-null float64
+alcohol                 1599 non-null float64
+quality                 1599 non-null int64
+dtypes: float64(11), int64(1)
+memory usage: 150.0 KB
+
+
+
+ +
+
+ +
+
+
+
+
+

The last column quality is a metric of how good a specific wine was rated to be. For our purposes, let's consider all wines with ratings 7 and above to be of very good quality, wines with 5 and 6 to be of average quality, and wines less than 5 to be of insipid quality.

+
+
+
+
+
+
In [5]:
+
+
+
n_wines = data.shape[0]
+
+# Number of wines with quality rating above 6
+quality_above_6 = data.loc[(data['quality'] > 6)]
+n_above_6 = quality_above_6.shape[0]
+
+# Number of wines with quality rating below 5
+quality_below_5 = data.loc[(data['quality'] < 5)]
+n_below_5 = quality_below_5.shape[0]
+
+# Number of wines with quality rating between 5 to 6
+quality_between_5 = data.loc[(data['quality']) >= 5 & (data['quality'] <= 6)]
+n_between_5 = quality_between_5.shape[0]
+
+# Percentage of wines with quality rating above 6
+greater_percent = n_above_6*100/n_wines
+
+# Print the results
+print("Total number of wine data: {}".format(n_wines))
+print("Wines with rating 7 and above: {}".format(n_above_6))
+print("Wines with rating less than 5: {}".format(n_below_5))
+print("Wines with rating 5 and 6: {}".format(n_between_5))
+print("Percentage of wines with quality 7 and above: {:.2f}%".format(greater_percent))
+
+# Some more additional data analysis
+display(np.round(data.describe()))
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
Total number of wine data: 1599
+Wines with rating 7 and above: 217
+Wines with rating less than 5: 63
+Wines with rating 5 and 6: 1599
+Percentage of wines with quality 7 and above: 13.57%
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
count1599.01599.01599.01599.01599.01599.01599.01599.01599.01599.01599.01599.0
mean8.01.00.03.00.016.046.01.03.01.010.06.0
std2.00.00.01.00.010.033.00.00.00.01.01.0
min5.00.00.01.00.01.06.01.03.00.08.03.0
25%7.00.00.02.00.07.022.01.03.01.010.05.0
50%8.01.00.02.00.014.038.01.03.01.010.06.0
75%9.01.00.03.00.021.062.01.03.01.011.06.0
max16.02.01.016.01.072.0289.01.04.02.015.08.0
+
+
+ +
+ +
+
+ +
+
+
+
+
+

Run the following cell block to see the distributions on a graph

+
+
+
+
+
+
In [7]:
+
+
+
# Visualize skewed continuous features of original data
+vs.distribution(data, "quality")
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+
+

As we can see, most fines fall under average quality (between 5 and 6). Wines which were rated high are in the lower hundreds, whereas there are very few wines that aren't tasty enough (low ratings).

+

Next, since our aim is to predict the quality of wines, we’ll now extract the last column and store it separately.

+ +
+
+
+
+
+
+
+

Section 2: Exploring Relationships between features

+
+
+
+
+
+
In [8]:
+
+
+
pd.plotting.scatter_matrix(data, alpha = 0.3, figsize = (40,40), diagonal = 'kde');
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
In [9]:
+
+
+
correlation = data.corr()
+#display(correlation)
+plt.figure(figsize=(14, 12))
+heatmap = sns.heatmap(correlation, annot=True, linewidths=0, vmin=-1, cmap="RdBu_r")
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
In [10]:
+
+
+
#Create a new dataframe containing only pH and fixed acidity columns to visualize their co-relations
+fixedAcidity_pH = data[['pH', 'fixed acidity']]
+
+#Initialize a joint-grid with the dataframe, using seaborn library
+gridA = sns.JointGrid(x="fixed acidity", y="pH", data=fixedAcidity_pH, size=6)
+
+#Draws a regression plot in the grid 
+gridA = gridA.plot_joint(sns.regplot, scatter_kws={"s": 10})
+
+#Draws a distribution plot in the same grid
+gridA = gridA.plot_marginals(sns.distplot)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
In [11]:
+
+
+
fixedAcidity_citricAcid = data[['citric acid', 'fixed acidity']]
+g = sns.JointGrid(x="fixed acidity", y="citric acid", data=fixedAcidity_citricAcid, size=6)
+g = g.plot_joint(sns.regplot, scatter_kws={"s": 10})
+g = g.plot_marginals(sns.distplot)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
In [12]:
+
+
+
fixedAcidity_density = data[['density', 'fixed acidity']]
+gridB = sns.JointGrid(x="fixed acidity", y="density", data=fixedAcidity_density, size=6)
+gridB = gridB.plot_joint(sns.regplot, scatter_kws={"s": 10})
+gridB = gridB.plot_marginals(sns.distplot)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
In [13]:
+
+
+
volatileAcidity_quality = data[['quality', 'volatile acidity']]
+g = sns.JointGrid(x="volatile acidity", y="quality", data=volatileAcidity_quality, size=6)
+g = g.plot_joint(sns.regplot, scatter_kws={"s": 10})
+g = g.plot_marginals(sns.distplot)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
In [14]:
+
+
+
#We can visualize relationships of discreet values better with a bar plot
+
+fig, axs = plt.subplots(ncols=1,figsize=(10,6))
+sns.barplot(x='quality', y='volatile acidity', data=volatileAcidity_quality, ax=axs)
+plt.title('quality VS volatile acidity')
+
+plt.tight_layout()
+plt.show()
+plt.gcf().clear()
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+ +
+ + + + +
+
<matplotlib.figure.Figure at 0x7fd5b0c58c50>
+
+ +
+ +
+
+ +
+
+
+
In [15]:
+
+
+
quality_alcohol = data[['alcohol', 'quality']]
+
+g = sns.JointGrid(x="alcohol", y="quality", data=quality_alcohol, size=6)
+g = g.plot_joint(sns.regplot, scatter_kws={"s": 10})
+g = g.plot_marginals(sns.distplot)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
In [16]:
+
+
+
fig, axs = plt.subplots(ncols=1,figsize=(10,6))
+sns.barplot(x='quality', y='alcohol', data=quality_alcohol, ax=axs)
+plt.title('quality VS alcohol')
+
+plt.tight_layout()
+plt.show()
+plt.gcf().clear()
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+ +
+ + + + +
+
<matplotlib.figure.Figure at 0x7fd5b06a1ef0>
+
+ +
+ +
+
+ +
+
+
+
In [17]:
+
+
+
# TODO: Select any two features of your choice and view their relationship
+# featureA = 'pH'
+# featureB = 'alcohol'
+# featureA_featureB = data[[featureA, featureB]]
+
+# g = sns.JointGrid(x=featureA, y=featureB, data=featureA_featureB, size=6)
+# g = g.plot_joint(sns.regplot, scatter_kws={"s": 10})
+# g = g.plot_marginals(sns.distplot)
+
+# fig, axs = plt.subplots(ncols=1,figsize=(10,6))
+# sns.barplot(x=featureA, y=featureB, data=featureA_featureB, ax=axs)
+# plt.title('quality VS alcohol')
+
+# plt.tight_layout()
+# plt.show()
+# plt.gcf().clear()
+
+ +
+
+
+ +
+
+
+
+
+

Outlier Detection:

Detecting outliers in the data is extremely important in the data preprocessing step of any analysis. The presence of outliers can often skew results which take into consideration these data points. There are many "rules of thumb" for what constitutes an outlier in a dataset. Here, we will use Tukey's Method for identfying outliers: An outlier step is calculated as 1.5 times the interquartile range (IQR). A data point with a feature that is beyond an outlier step outside of the IQR for that feature is considered abnormal.

+

In the code block below:

+
    +
  • Assign the value of the 25th percentile for the given feature to Q1. Use np.percentile for this.
  • +
  • Assign the value of the 75th percentile for the given feature to Q3. Again, use np.percentile.
  • +
  • Assign the calculation of an outlier step for the given feature to step.
  • +
  • Optionally remove data points from the dataset by adding indices to the outliers list.
  • +
+

NOTE: If you choose to remove any outliers, ensure that the sample data does not contain any of these points! +Once you have performed this implementation, the dataset will be stored in the variable good_data.

+ +
+
+
+
+
+
In [7]:
+
+
+
# For each feature find the data points with extreme high or low values
+for feature in data.keys():
+    
+    # TODO: Calculate Q1 (25th percentile of the data) for the given feature
+    Q1 = np.percentile(data[feature], q=25)
+    
+    # TODO: Calculate Q3 (75th percentile of the data) for the given feature
+    Q3 = np.percentile(data[feature], q=75)
+    
+    # TODO: Use the interquartile range to calculate an outlier step (1.5 times the interquartile range)
+    interquartile_range = Q3 - Q1
+    step = 1.5 * interquartile_range
+    
+    # Display the outliers
+    print("Data points considered outliers for the feature '{}':".format(feature))
+    display(data[~((data[feature] >= Q1 - step) & (data[feature] <= Q3 + step))])
+    
+# OPTIONAL: Select the indices for data points you wish to remove
+outliers  = []
+
+# Remove the outliers, if any were specified
+good_data = data.drop(data.index[outliers]).reset_index(drop = True)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
Data points considered outliers for the feature 'fixed acidity':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
20512.80.3000.742.60.0959.028.00.999403.200.7710.87
20612.80.3000.742.60.0959.028.00.999403.200.7710.87
24315.00.2100.442.20.07510.024.01.000053.070.849.27
24415.00.2100.442.20.07510.024.01.000053.070.849.27
26412.50.5600.492.40.0645.027.00.999903.080.8710.95
29413.30.3400.523.20.09417.053.01.001403.050.819.56
32813.40.2700.622.60.0826.021.01.000203.160.679.76
33812.40.4900.583.00.10328.099.01.000803.161.0011.56
33912.50.2800.542.30.08212.029.00.999703.111.369.87
34713.80.4900.673.00.0936.015.00.998603.020.9312.06
35313.50.5300.794.80.12023.077.01.001803.180.7713.05
35912.60.3800.662.60.08810.041.01.001003.170.689.86
36312.50.4600.632.00.0716.015.00.998802.990.8710.25
36412.80.6150.665.80.0837.042.01.002203.070.7310.07
36612.80.6150.665.80.0837.042.01.002203.070.7310.07
37414.00.4100.633.80.0896.047.01.001403.010.8110.86
38113.70.4150.682.90.08517.043.01.001403.060.8010.06
39113.70.4150.682.90.08517.043.01.001403.060.8010.06
39412.70.6000.652.30.0636.025.00.999703.030.579.95
40912.50.4600.494.50.07026.049.00.998103.050.579.64
42912.80.8400.632.40.08813.035.00.999703.100.6010.46
44012.60.3100.722.20.0726.029.00.998702.880.829.88
44215.60.6850.763.70.1006.043.01.003202.950.6811.27
44612.50.3800.602.60.08131.072.00.999603.100.7310.55
47013.00.3200.652.60.09315.047.00.999603.050.6110.65
47212.50.3700.552.60.08325.068.00.999503.150.8210.46
50913.30.2900.752.80.08423.043.00.998603.040.6811.47
51012.40.4200.494.60.07319.043.00.997803.020.619.55
51612.50.6000.494.30.1005.014.01.001003.250.7411.96
53812.90.3500.495.80.0665.035.01.001403.200.6612.07
54414.30.3100.741.80.0756.015.01.000802.860.798.46
54812.40.3500.492.60.07927.069.00.999403.120.7510.46
55415.50.6450.494.20.09510.023.01.003152.920.7411.15
55515.50.6450.494.20.09510.023.01.003152.920.7411.15
55715.60.6450.494.20.09510.023.01.003152.920.7411.15
55913.00.4700.494.30.0856.047.01.002103.300.6812.76
56012.70.6000.492.80.0755.019.00.999403.140.5711.45
56413.00.4700.494.30.0856.047.01.002103.300.6812.76
56512.70.6000.492.80.0755.019.00.999403.140.5711.45
59612.40.4000.512.00.0596.024.00.999403.040.609.36
59912.70.5900.452.30.08211.022.01.000003.000.709.36
60113.20.4600.522.20.07112.035.01.000603.100.569.06
60313.20.4600.522.20.07112.035.01.000603.100.569.06
61113.20.3800.552.70.0815.016.01.000602.980.549.45
65215.90.3600.657.50.09622.071.00.997602.980.8414.95
68013.30.4300.581.90.07015.040.01.000403.060.499.05
81112.90.5000.552.80.0727.024.01.000123.090.6810.96
81412.60.4100.542.80.10319.041.00.999393.210.7611.36
122412.60.3900.492.50.0808.020.00.999203.070.8210.36
+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'volatile acidity':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
385.71.1300.091.500.1727.019.00.994003.500.489.84
945.01.0200.041.400.04541.085.00.993803.750.4810.54
1207.31.0700.091.700.17810.089.00.996203.300.579.05
1268.21.3300.001.700.0813.012.00.996403.530.4910.95
1278.11.3300.001.800.0823.012.00.996403.540.4810.95
1347.91.0400.052.200.08413.029.00.995903.220.559.96
1996.91.0900.062.100.06112.031.00.994803.510.4311.44
5535.01.0400.241.600.05032.096.00.993403.740.6211.55
6729.81.2400.342.000.07932.0151.00.998003.150.539.55
6907.41.1850.004.250.0975.014.00.996603.630.5410.73
70010.61.0200.432.900.07626.088.00.998403.080.5710.16
7058.41.0350.156.000.07311.054.00.999003.370.499.95
71010.61.0250.432.800.08021.084.00.998503.060.5710.15
7247.51.1150.103.100.0865.012.00.995803.540.6011.24
8998.31.0200.023.400.0846.011.00.998923.480.4911.03
12616.31.0200.002.000.08317.024.00.994373.590.5511.24
12997.61.5800.002.100.1375.09.00.994763.500.4010.93
13128.01.1800.211.900.08314.041.00.995323.340.4710.55
14676.71.0400.082.300.06719.032.00.996483.520.5711.04
+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'citric acid':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
1519.20.521.03.40.6132.069.00.99962.742.09.44
+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'residual sugar':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
97.50.5000.366.100.07117.0102.00.997803.350.8010.5000005
117.50.5000.366.100.07117.0102.00.997803.350.8010.5000005
148.90.6200.183.800.17652.0145.00.998603.160.889.2000005
158.90.6200.193.900.17051.0148.00.998603.170.939.2000005
187.40.5900.084.400.0866.029.00.997403.380.509.0000004
336.90.6050.1210.700.07340.083.00.999303.450.529.4000006
357.80.6450.005.500.0865.018.00.998603.400.559.6000006
397.30.4500.365.900.07412.087.00.997803.330.8310.5000005
407.30.4500.365.900.07412.087.00.997803.330.8310.5000005
557.70.6200.043.800.08425.045.00.997803.340.539.5000005
577.50.6300.125.100.11150.0110.00.998303.260.779.4000005
647.20.7250.054.650.0864.011.00.996203.410.3910.9000005
657.20.7250.054.650.0864.011.00.996203.410.3910.9000005
1547.10.4300.425.500.07029.0129.00.997303.420.7210.5000005
1557.10.4300.425.500.07128.0128.00.997303.420.7110.5000005
1567.10.4300.425.500.07029.0129.00.997303.420.7210.5000005
1577.10.4300.425.500.07128.0128.00.997303.420.7110.5000005
1637.40.6000.267.300.07036.0121.00.998203.370.499.4000005
1647.30.5900.267.200.07035.0121.00.998103.370.499.4000005
1926.80.6300.123.800.09916.0126.00.996903.280.619.5000005
2157.00.4900.495.600.06026.0121.00.997403.340.7610.5000005
26911.50.1800.514.000.1044.023.00.999603.280.9710.1000006
2707.90.5450.064.000.08727.061.00.996503.360.6710.7000006
27111.50.1800.514.000.1044.023.00.999603.280.9710.1000006
27210.90.3700.584.000.07117.065.00.999353.220.7810.1000005
2747.50.6500.187.000.08827.094.00.999153.380.779.4000005
2757.90.5450.064.000.08727.061.00.996503.360.6710.7000006
27711.50.1800.514.000.1044.023.00.999603.280.9710.1000006
27810.30.3200.456.400.0735.013.00.997603.230.8212.6000008
2798.90.4000.325.600.08710.047.00.999103.380.7710.5000007
.......................................
12897.00.6000.304.500.06820.0110.00.999143.301.1710.2000005
12956.60.6300.004.300.09351.077.50.995583.200.459.5000005
12966.60.6300.004.300.09351.077.50.995583.200.459.5000005
13076.80.6800.093.900.06815.029.00.995243.410.5211.1000004
13317.80.8700.263.800.10731.067.00.996683.260.469.2000005
13587.40.6400.175.400.16852.098.00.997363.280.509.5000005
13737.70.7500.273.800.11034.089.00.996643.240.459.3000005
13886.60.6400.316.100.0837.049.00.997183.350.6810.3000005
13946.40.5700.143.900.07027.073.00.996693.320.489.2000005
14068.20.2400.345.100.0628.022.00.997403.220.9410.9000006
14128.20.2400.345.100.0628.022.00.997403.220.9410.9000006
14236.40.5300.093.900.12314.031.00.996803.500.6711.0000004
143410.20.5400.3715.400.21455.095.01.003693.180.779.0000006
143510.20.5400.3715.400.21455.095.01.003693.180.779.0000006
14376.80.9150.294.800.07015.039.00.995773.530.5411.1000005
14417.40.7850.195.200.09419.098.00.997133.160.529.5666676
14457.40.7850.195.200.09419.098.00.997133.160.529.6000006
14716.70.7000.083.750.0678.016.00.993343.430.5212.6000005
14749.90.5000.5013.800.20548.082.01.002423.160.758.8000005
14769.90.5000.5013.800.20548.082.01.002423.160.758.8000005
14787.10.8750.055.700.0823.014.00.998083.400.5210.2000003
15017.80.8200.294.300.08321.064.00.996423.160.539.4000005
15146.90.8400.214.100.07416.065.00.998423.530.729.2333336
15156.90.8400.214.100.07416.065.00.998423.530.729.2500006
15406.20.5200.084.400.07111.032.00.996463.560.6311.6000006
15526.30.6800.013.700.10332.054.00.995863.510.6611.3000006
15586.90.6300.336.700.23566.0115.00.997873.220.569.5000005
15745.60.3100.7813.900.07423.092.00.996773.390.4810.5000006
15776.20.7000.155.100.07613.027.00.996223.540.6011.9000006
15896.60.7250.207.800.07329.079.00.997703.290.549.2000005
+

155 rows × 12 columns

+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'chlorides':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
148.90.6200.183.800.17652.0145.00.998603.160.889.25
158.90.6200.193.900.17051.0148.00.998603.170.939.25
178.10.5600.281.700.36816.056.00.996803.111.289.35
197.90.3200.511.800.34117.056.00.996903.041.089.26
385.71.1300.091.500.1727.019.00.994003.500.489.84
427.50.4900.202.600.3328.014.00.996803.210.9010.56
817.80.4300.701.900.46422.067.00.997403.131.289.45
837.30.6700.261.800.40116.051.00.996903.161.149.45
1067.80.4100.681.700.46718.069.00.997303.081.319.35
1098.10.7850.522.000.12237.0153.00.996903.210.699.35
1207.31.0700.091.700.17810.089.00.996203.300.579.05
1259.00.6200.041.900.14627.090.00.998403.160.709.45
1477.60.4900.261.600.23610.088.00.996803.110.809.35
1519.20.5201.003.400.61032.069.00.999602.742.009.44
1697.50.7050.241.800.36015.063.00.996403.001.599.55
1818.90.6100.492.000.27023.0110.00.997203.121.029.35
2109.70.5300.602.000.0395.019.00.995853.300.8612.46
2268.90.5900.502.000.33727.081.00.996403.041.619.56
2408.90.6350.371.700.2635.062.00.997103.001.099.35
2587.70.4100.761.800.6118.045.00.996803.061.269.45
2817.70.2700.683.500.3585.010.00.997203.251.089.97
29111.00.2000.482.000.3436.018.00.997903.300.7110.55
3037.40.6700.121.600.1865.021.00.996003.390.549.55
30710.30.4100.422.400.2136.014.00.999403.190.629.56
30810.30.4300.442.400.2145.012.00.999403.190.639.56
32611.60.5300.663.650.1216.014.00.997803.050.7411.57
33010.20.3600.642.900.12210.041.00.998003.230.6612.56
33110.20.3600.642.900.12210.041.00.998003.230.6612.56
33511.90.6950.533.400.1287.021.00.999203.170.8412.27
35313.50.5300.794.800.12023.077.01.001803.180.7713.05
.......................................
110910.80.4700.432.100.17127.066.00.998203.170.7610.86
11467.80.5000.121.800.1786.021.00.996003.280.879.86
11658.50.4400.501.900.36915.038.00.996343.011.109.45
11916.50.8850.002.300.1666.012.00.995513.560.5110.85
11936.40.8850.002.300.1666.012.00.995513.560.5110.85
12079.90.7200.551.700.13624.052.00.997523.350.9410.05
122010.90.3200.521.800.13217.044.00.997343.280.7711.56
122110.90.3200.521.800.13217.044.00.997343.280.7711.56
12527.10.7200.001.800.1236.014.00.996273.450.589.85
12586.80.6400.002.700.12315.033.00.995383.440.6311.36
12596.80.6400.002.700.12315.033.00.995383.440.6311.36
12608.60.6350.681.800.40319.056.00.996323.021.159.35
12997.61.5800.002.100.1375.09.00.994763.500.4010.93
13199.10.7600.681.700.41418.064.00.996522.901.339.16
13347.20.8350.002.000.1664.011.00.996083.390.5210.05
13587.40.6400.175.400.16852.098.00.997363.280.509.55
13708.70.7800.511.700.41512.066.00.996233.001.179.25
13717.50.5800.563.100.1535.014.00.994763.211.0311.66
13728.70.7800.511.700.41512.066.00.996233.001.179.25
13746.80.8150.001.200.26716.029.00.994713.320.519.83
14236.40.5300.093.900.12314.031.00.996803.500.6711.04
143410.20.5400.3715.400.21455.095.01.003693.180.779.06
143510.20.5400.3715.400.21455.095.01.003693.180.779.06
143610.00.3800.381.600.16927.090.00.999143.150.658.55
14749.90.5000.5013.800.20548.082.01.002423.160.758.85
14769.90.5000.5013.800.20548.082.01.002423.160.758.85
14907.10.2200.491.800.0398.018.00.993443.390.5612.46
15586.90.6300.336.700.23566.0115.00.997873.220.569.55
15706.40.3600.532.200.23019.035.00.993403.370.9312.46
15716.40.3800.142.200.03815.025.00.995143.440.6511.16
+

112 rows × 12 columns

+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'free sulfur dioxide':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
148.90.6200.183.800.17652.0145.00.998603.160.889.25
158.90.6200.193.900.17051.0148.00.998603.170.939.25
577.50.6300.125.100.11150.0110.00.998303.260.779.45
3966.60.7350.027.900.12268.0124.00.999403.470.539.95
4006.60.7350.027.900.12268.0124.00.999403.470.539.95
4977.20.3400.322.500.09043.0113.00.996603.320.7911.15
5228.20.3900.492.300.09947.0133.00.997903.380.999.85
58411.80.3300.493.400.09354.080.01.000203.300.7610.77
6347.90.3500.211.900.07346.0102.00.996403.270.589.55
6788.30.7800.102.600.08145.087.00.998303.480.5310.05
9258.60.2200.361.900.06453.077.00.996043.470.8711.07
9269.40.2400.332.300.06152.073.00.997863.470.9010.26
9827.30.5200.322.100.07051.070.00.994183.340.8212.96
10759.10.2500.342.000.07145.067.00.997693.440.8610.27
11315.90.1900.211.700.04557.0135.00.993413.320.449.55
11546.60.5800.002.200.10050.063.00.995443.590.6811.46
11568.50.1800.511.750.07145.088.00.995243.330.7611.87
11756.50.6100.002.200.09548.059.00.995413.610.7011.56
12178.20.3400.371.900.05743.074.00.994083.230.8112.06
12317.80.8150.012.600.07448.090.00.996213.380.6210.85
12445.90.2900.2513.400.06772.0160.00.997213.330.5410.36
12567.50.5900.221.800.08243.060.00.994993.100.429.25
12956.60.6300.004.300.09351.077.50.995583.200.459.55
12966.60.6300.004.300.09351.077.50.995583.200.459.55
13587.40.6400.175.400.16852.098.00.997363.280.509.55
143410.20.5400.3715.400.21455.095.01.003693.180.779.06
143510.20.5400.3715.400.21455.095.01.003693.180.779.06
14749.90.5000.5013.800.20548.082.01.002423.160.758.85
14769.90.5000.5013.800.20548.082.01.002423.160.758.85
15586.90.6300.336.700.23566.0115.00.997873.220.569.55
+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'total sulfur dioxide':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
148.90.6200.183.80.17652.0145.00.998603.160.889.25
158.90.6200.193.90.17051.0148.00.998603.170.939.25
868.60.4900.281.90.11020.0136.00.997202.931.959.96
889.30.3900.442.10.10734.0125.00.997803.141.229.55
907.90.5200.261.90.07942.0140.00.996403.230.549.55
918.60.4900.281.90.11020.0136.00.997202.931.959.96
928.60.4900.292.00.11019.0133.00.997202.931.989.85
1098.10.7850.522.00.12237.0153.00.996903.210.699.35
1308.00.7450.562.00.11830.0134.00.996803.240.669.45
1458.10.6700.551.80.11732.0141.00.996803.170.629.45
1547.10.4300.425.50.07029.0129.00.997303.420.7210.55
1557.10.4300.425.50.07128.0128.00.997303.420.7110.55
1567.10.4300.425.50.07029.0129.00.997303.420.7210.55
1577.10.4300.425.50.07128.0128.00.997303.420.7110.55
1887.90.5000.332.00.08415.0143.00.996803.200.559.55
1897.90.4900.321.90.08217.0144.00.996803.200.559.55
1908.20.5000.352.90.07721.0127.00.997603.230.629.45
1926.80.6300.123.80.09916.0126.00.996903.280.619.55
2018.80.3700.482.10.09739.0145.00.997503.041.039.35
2197.80.5300.332.40.08024.0144.00.996553.300.609.55
3138.60.4700.303.00.07630.0135.00.997603.300.539.45
3546.10.2100.401.40.06640.5165.00.991203.250.5911.96
3966.60.7350.027.90.12268.0124.00.999403.470.539.95
4006.60.7350.027.90.12268.0124.00.999403.470.539.95
4158.60.7250.246.60.11731.0134.01.001403.321.079.35
4177.00.5800.121.90.09134.0124.00.995603.440.4810.55
4638.10.6600.702.20.09825.0129.00.997203.080.539.05
5158.50.6550.496.10.12234.0151.01.001003.311.149.35
5228.20.3900.492.30.09947.0133.00.997903.380.999.85
5239.30.4000.492.50.08538.0142.00.997803.220.559.45
5916.60.3900.491.70.07023.0149.00.992203.120.5011.56
6369.60.8800.282.40.08630.0147.00.997903.240.539.45
6379.50.8850.272.30.08431.0145.00.997803.240.539.45
6496.70.4200.278.60.06824.0148.00.994803.160.5711.36
6519.80.8800.252.50.10435.0155.01.001003.410.6711.25
6729.81.2400.342.00.07932.0151.00.998003.150.539.55
6849.80.9800.322.30.07835.0152.00.998003.250.489.45
6949.00.4700.312.70.08424.0125.00.998403.310.619.45
7237.10.3100.302.20.05336.0127.00.996502.941.629.55
7419.20.5300.242.60.07828.0139.00.997883.210.579.55
7719.40.6850.262.40.08223.0143.00.997803.280.559.45
7729.50.5700.272.30.08223.0144.00.997823.270.559.45
7918.80.6400.172.90.08425.0130.00.998183.230.549.65
10797.90.3000.688.30.05037.5278.00.993163.010.5112.37
10817.90.3000.688.30.05037.5289.00.993163.010.5112.37
11315.90.1900.211.70.04557.0135.00.993413.320.449.55
12445.90.2900.2513.40.06772.0160.00.997213.330.5410.36
14007.90.6900.212.10.08033.0141.00.996203.250.519.95
14017.90.6900.212.10.08033.0141.00.996203.250.519.95
14197.70.6400.212.20.07732.0133.00.995603.270.459.95
14937.70.5400.261.90.08923.0147.00.996363.260.599.75
14967.70.5400.261.90.08923.0147.00.996363.260.599.75
15597.80.6000.262.00.08031.0131.00.996223.210.529.95
15607.80.6000.262.00.08031.0131.00.996223.210.529.95
15617.80.6000.262.00.08031.0131.00.996223.210.529.95
+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'density':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
1425.20.3400.001.800.05027.063.00.991603.680.7914.0000006
1445.20.3400.001.800.05027.063.00.991603.680.7914.0000006
29413.30.3400.523.200.09417.053.01.001403.050.819.5000006
32410.00.4900.2011.000.07113.050.01.001503.160.699.2000006
32510.00.4900.2011.000.07113.050.01.001503.160.699.2000006
35313.50.5300.794.800.12023.077.01.001803.180.7713.0000005
3546.10.2100.401.400.06640.5165.00.991203.250.5911.9000006
36412.80.6150.665.800.0837.042.01.002203.070.7310.0000007
36612.80.6150.665.800.0837.042.01.002203.070.7310.0000007
37414.00.4100.633.800.0896.047.01.001403.010.8110.8000006
38113.70.4150.682.900.08517.043.01.001403.060.8010.0000006
39113.70.4150.682.900.08517.043.01.001403.060.8010.0000006
4158.60.7250.246.600.11731.0134.01.001403.321.079.3000005
44215.60.6850.763.700.1006.043.01.003202.950.6811.2000007
48010.60.2800.3915.500.0696.023.01.002603.120.669.2000005
53812.90.3500.495.800.0665.035.01.001403.200.6612.0000007
55415.50.6450.494.200.09510.023.01.003152.920.7411.1000005
55515.50.6450.494.200.09510.023.01.003152.920.7411.1000005
55715.60.6450.494.200.09510.023.01.003152.920.7411.1000005
55913.00.4700.494.300.0856.047.01.002103.300.6812.7000006
56413.00.4700.494.300.0856.047.01.002103.300.6812.7000006
5885.00.4200.242.000.06019.050.00.991703.720.7414.0000008
5916.60.3900.491.700.07023.0149.00.992203.120.5011.5000006
60810.10.6500.375.100.11011.065.01.002603.320.6410.4000006
6955.10.4700.021.300.03418.044.00.992103.900.6212.8000006
8214.90.4200.002.100.04816.042.00.991543.710.7414.0000007
8366.70.2800.282.400.01236.0100.00.990643.260.3911.7000007
8376.70.2800.282.400.01236.0100.00.990643.260.3911.7000007
88910.70.9000.346.600.11223.099.01.002893.220.689.3000005
9996.40.6900.001.650.0557.012.00.991623.470.5312.9000006
10178.00.1800.370.900.04936.0109.00.990072.890.4412.7000006
10188.00.1800.370.900.04936.0109.00.990072.890.4412.7000006
11145.00.4000.504.300.04629.080.00.990203.490.6613.6000006
11226.30.4700.001.400.05527.033.00.992203.450.4812.3000006
11265.80.2900.261.700.0633.011.00.991503.390.5413.5000006
12285.10.4200.001.800.04418.088.00.991573.680.7313.6000007
12695.50.4900.031.800.04428.087.00.990803.500.8214.0000008
12705.00.3800.011.600.04826.060.00.990843.700.7514.0000006
12985.70.6000.001.400.06311.018.00.991913.450.5612.2000006
143410.20.5400.3715.400.21455.095.01.003693.180.779.0000006
143510.20.5400.3715.400.21455.095.01.003693.180.779.0000006
14749.90.5000.5013.800.20548.082.01.002423.160.758.8000005
14755.30.4700.112.200.04816.089.00.991823.540.8813.5666677
14769.90.5000.5013.800.20548.082.01.002423.160.758.8000005
14775.30.4700.112.200.04816.089.00.991823.540.8813.6000007
+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'pH':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
454.60.5200.152.100.0548.065.00.993403.900.5613.14
945.01.0200.041.400.04541.085.00.993803.750.4810.54
954.70.6000.172.300.05817.0106.00.993203.850.6012.96
1519.20.5201.003.400.61032.069.00.999602.742.009.44
2686.90.5400.043.000.0777.027.00.998703.690.919.46
2766.90.5400.043.000.0777.027.00.998703.690.919.46
44012.60.3100.722.200.0726.029.00.998702.880.829.88
54414.30.3100.741.800.0756.015.01.000802.860.798.46
5535.01.0400.241.600.05032.096.00.993403.740.6211.55
55415.50.6450.494.200.09510.023.01.003152.920.7411.15
55515.50.6450.494.200.09510.023.01.003152.920.7411.15
55715.60.6450.494.200.09510.023.01.003152.920.7411.15
5885.00.4200.242.000.06019.050.00.991703.720.7414.08
6149.20.7550.182.200.14810.0103.00.996902.871.3610.26
65010.70.4300.392.200.1068.032.00.998602.890.509.65
65610.70.4300.392.200.1068.032.00.998602.890.509.65
65712.00.5000.591.400.07323.042.00.998002.920.6810.57
6955.10.4700.021.300.03418.044.00.992103.900.6212.86
8214.90.4200.002.100.04816.042.00.991543.710.7414.07
9306.60.6100.011.900.0808.025.00.997463.690.7310.55
9346.60.6100.011.900.0808.025.00.997463.690.7310.55
9965.60.6600.002.200.0873.011.00.993783.710.6312.87
9975.60.6600.002.200.0873.011.00.993783.710.6312.87
10178.00.1800.370.900.04936.0109.00.990072.890.4412.76
10188.00.1800.370.900.04936.0109.00.990072.890.4412.76
11115.40.4200.272.000.09223.055.00.994713.780.6412.37
12705.00.3800.011.600.04826.060.00.990843.700.7514.06
13005.20.6450.002.150.08015.028.00.994443.780.6112.56
13165.40.7400.001.200.04116.046.00.992584.010.5912.56
13199.10.7600.681.700.41418.064.00.996522.901.339.16
13215.00.7400.001.200.04116.046.00.992584.010.5912.56
13775.20.4900.262.300.09023.074.00.995303.710.6212.26
147010.00.6900.111.400.0848.024.00.995782.880.479.75
14885.60.5400.041.700.0495.013.00.994203.720.5811.45
14915.60.5400.041.700.0495.013.00.994203.720.5811.45
+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'sulphates':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
137.80.6100.291.60.1149.029.00.997403.261.569.15
178.10.5600.281.70.36816.056.00.996803.111.289.35
197.90.3200.511.80.34117.056.00.996903.041.089.26
438.10.6600.222.20.0699.023.00.996803.301.2010.35
798.30.6250.201.50.08027.0119.00.997203.161.129.14
817.80.4300.701.90.46422.067.00.997403.131.289.45
837.30.6700.261.80.40116.051.00.996903.161.149.45
868.60.4900.281.90.11020.0136.00.997202.931.959.96
889.30.3900.442.10.10734.0125.00.997803.141.229.55
918.60.4900.281.90.11020.0136.00.997202.931.959.96
928.60.4900.292.00.11019.0133.00.997202.931.989.85
1067.80.4100.681.70.46718.069.00.997303.081.319.35
1519.20.5201.003.40.61032.069.00.999602.742.009.44
1617.60.6800.021.30.0729.020.00.996503.171.089.24
1697.50.7050.241.80.36015.063.00.996403.001.599.55
1818.90.6100.492.00.27023.0110.00.997203.121.029.35
2018.80.3700.482.10.09739.0145.00.997503.041.039.35
2268.90.5900.502.00.33727.081.00.996403.041.619.56
2408.90.6350.371.70.2635.062.00.997103.001.099.35
2587.70.4100.761.80.6118.045.00.996803.061.269.45
2817.70.2700.683.50.3585.010.00.997203.251.089.97
33812.40.4900.583.00.10328.099.01.000803.161.0011.56
33912.50.2800.542.30.08212.029.00.999703.111.369.87
34012.20.3400.502.40.06610.021.01.000003.121.189.26
3699.40.2700.532.40.0746.018.00.996203.201.1312.07
3729.10.2800.481.80.06726.046.00.996703.321.0410.66
37611.50.4500.503.00.07819.047.01.000303.261.1111.06
3779.40.2700.532.40.0746.018.00.996203.201.1312.07
4158.60.7250.246.60.11731.0134.01.001403.321.079.35
4518.40.3700.531.80.4139.026.00.997903.061.069.16
47710.40.2400.491.80.0756.020.00.997703.181.0611.06
48210.60.3600.592.20.1526.018.00.998603.041.059.45
48310.60.3600.602.20.1527.018.00.998603.041.069.45
50310.50.2600.471.90.0786.024.00.997603.181.0410.97
50410.50.2400.421.80.0776.022.00.997603.211.0510.87
50610.40.2400.461.80.0756.021.00.997603.251.0210.87
5158.50.6550.496.10.12234.0151.01.001003.311.149.35
58611.10.3100.492.70.09416.047.00.998603.121.0210.67
6149.20.7550.182.20.14810.0103.00.996902.871.3610.26
6398.90.2900.351.90.06725.057.00.997003.181.3610.36
6898.10.3800.481.80.1575.017.00.997603.301.059.45
6928.60.4900.512.00.42216.062.00.997903.031.179.05
7237.10.3100.302.20.05336.0127.00.996502.941.629.55
7547.80.4800.681.70.41514.032.00.996563.091.069.16
79510.80.8900.302.60.1327.060.00.997862.991.1810.25
8528.00.4200.322.50.08026.0122.00.998013.221.079.75
10518.50.4600.591.40.41416.045.00.997023.031.349.25
11586.70.4100.432.80.07622.054.00.995723.421.1610.66
11658.50.4400.501.90.36915.038.00.996343.011.109.45
12608.60.6350.681.80.40319.056.00.996323.021.159.35
12887.00.6000.304.50.06820.0110.00.999143.301.1710.25
12897.00.6000.304.50.06820.0110.00.999143.301.1710.25
13199.10.7600.681.70.41418.064.00.996522.901.339.16
13676.90.5400.302.20.0889.0105.00.997253.251.1810.56
13708.70.7800.511.70.41512.066.00.996233.001.179.25
13717.50.5800.563.10.1535.014.00.994763.211.0311.66
13728.70.7800.511.70.41512.066.00.996233.001.179.25
14037.20.3300.331.70.0613.013.00.996003.231.1010.08
14088.10.2900.362.20.04835.053.00.995003.271.0112.47
+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'alcohol':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
1425.20.340.001.80.05027.063.00.991603.680.7914.0000006
1445.20.340.001.80.05027.063.00.991603.680.7914.0000006
4678.80.460.452.60.0657.018.00.994703.320.7914.0000006
5885.00.420.242.00.06019.050.00.991703.720.7414.0000008
65215.90.360.657.50.09622.071.00.997602.980.8414.9000005
8214.90.420.002.10.04816.042.00.991543.710.7414.0000007
11145.00.400.504.30.04629.080.00.990203.490.6613.6000006
11327.40.360.341.80.07518.038.00.993303.380.8813.6000007
12285.10.420.001.80.04418.088.00.991573.680.7313.6000007
12695.50.490.031.80.04428.087.00.990803.500.8214.0000008
12705.00.380.011.60.04826.060.00.990843.700.7514.0000006
14755.30.470.112.20.04816.089.00.991823.540.8813.5666677
14775.30.470.112.20.04816.089.00.991823.540.8813.6000007
+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'quality':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
2677.90.3500.463.600.07815.037.00.997303.350.8612.808
27810.30.3200.456.400.0735.013.00.997603.230.8212.608
3905.60.8500.051.400.04512.088.00.992403.560.8212.908
44012.60.3100.722.200.0726.029.00.998702.880.829.808
45511.30.6200.675.200.0866.019.00.998803.220.6913.408
45911.60.5800.662.200.07410.047.01.000803.250.579.003
4819.40.3000.562.800.0806.017.00.996403.150.9211.708
49510.70.3500.532.600.0705.016.00.997203.150.6511.008
49810.70.3500.532.600.0705.016.00.997203.150.6511.008
51710.40.6100.492.100.2005.016.00.999403.160.638.403
5885.00.4200.242.000.06019.050.00.991703.720.7414.008
6907.41.1850.004.250.0975.014.00.996603.630.5410.703
8287.80.5700.092.300.06534.045.00.994173.460.7412.708
83210.40.4400.421.500.14534.048.00.998323.380.869.903
8998.31.0200.023.400.0846.011.00.998923.480.4911.003
10619.10.4000.501.800.0717.016.00.994623.210.6912.508
109010.00.2600.541.900.08342.074.00.994512.980.6311.808
11207.90.5400.342.500.0768.017.00.992353.200.7213.108
12028.60.4200.391.800.0686.012.00.995163.350.6911.708
12695.50.4900.031.800.04428.087.00.990803.500.8214.008
12997.61.5800.002.100.1375.09.00.994763.500.4010.903
13746.80.8150.001.200.26716.029.00.994713.320.519.803
14037.20.3300.331.700.0613.013.00.996003.231.1010.008
14497.20.3800.312.000.05615.029.00.994723.230.7611.308
14697.30.9800.052.100.06120.049.00.997053.310.559.703
14787.10.8750.055.700.0823.014.00.998083.400.5210.203
15056.70.7600.021.800.0786.012.00.996003.550.639.953
15497.40.3600.301.800.07417.024.00.994193.240.7011.408
+
+
+ +
+ +
+
+ +
+
+
+
+
+

Part 2: Using Machine Learning to Predict the Quality of Wines

+
+
+
+
+
+
+
+

Data Preparation:

First, we'll apply some transforms to convert our regression problem into a classification problem. Then, we'll use our data to create feature-set and target labels:

+
+
+
+
+
+
In [18]:
+
+
+
#Defining the splits for categories. 1-4 will be poor quality, 5-6 will be average, 7-10 will be great
+bins = [1,4,6,10]
+
+#0 for low quality, 1 for average, 2 for great quality
+quality_labels=[0,1,2]
+data['quality_categorical'] = pd.cut(data['quality'], bins=bins, labels=quality_labels, include_lowest=True)
+
+#Displays the first 2 columns
+display(data.head(n=2))
+
+# Split the data into features and target label
+quality_raw = data['quality_categorical']
+features_raw = data.drop(['quality', 'quality_categorical'], axis = 1)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholqualityquality_categorical
07.40.700.01.90.07611.034.00.99783.510.569.451
17.80.880.02.60.09825.067.00.99683.200.689.851
+
+
+ +
+ +
+
+ +
+
+
+
+
+

Next, shuffle and split our data-set into training and testing subsets:

+
+
+
+
+
+
In [19]:
+
+
+
# Import train_test_split
+from sklearn.model_selection import train_test_split
+
+# Split the 'features' and 'income' data into training and testing sets
+X_train, X_test, y_train, y_test = train_test_split(features_raw, 
+                                                    quality_raw, 
+                                                    test_size = 0.2, 
+                                                    random_state = 0)
+
+# Show the results of the split
+print("Training set has {} samples.".format(X_train.shape[0]))
+print("Testing set has {} samples.".format(X_test.shape[0]))
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
Training set has 1279 samples.
+Testing set has 320 samples.
+
+
+
+ +
+
+ +
+
+
+
+
+

scikit-learn is a handy data science and machine learning library that lets you use ML algorithms in easy to use APIs.

+
+
+
+
+
+
+
+

Supervised Learning Models

The following are some of the supervised learning models that are currently available in scikit-learn that you may choose from:

+
    +
  • Gaussian Naive Bayes (GaussianNB)
  • +
  • Decision Trees
  • +
  • Ensemble Methods (Bagging, AdaBoost, Random Forest, Gradient Boosting)
  • +
  • K-Nearest Neighbors (KNeighbors)
  • +
  • Stochastic Gradient Descent Classifier (SGDC)
  • +
  • Support Vector Machines (SVM)
  • +
  • Logistic Regression
  • +
+ +
+
+
+
+
+
+
+

Implementation - Creating a Training and Predicting Pipeline

To properly evaluate the performance of each model you've chosen, it's important that you create a training and predicting pipeline that allows you to quickly and effectively train models using various sizes of training data and perform predictions on the testing data. Your implementation here will be used in the following section. +In the code block below, you will need to implement the following:

+
    +
  • Import fbeta_score and accuracy_score from sklearn.metrics.
  • +
  • Fit the learner to the sampled training data and record the training time.
  • +
  • Perform predictions on the test data X_test, and also on the first 300 training points X_train[:300].
      +
    • Record the total prediction time.
    • +
    +
  • +
  • Calculate the accuracy score for both the training subset and testing set.
  • +
  • Calculate the F-score for both the training subset and testing set.
      +
    • Make sure that you set the beta parameter!
    • +
    +
  • +
+ +
+
+
+
+
+
+
+

Next, we will write a function that will accept a ML algorithm of our choice, and use our data to train it

+
+
+
+
+
+
In [20]:
+
+
+
# Import two classification metrics from sklearn - fbeta_score and accuracy_score
+from sklearn.metrics import fbeta_score
+from sklearn.metrics import accuracy_score
+
+def train_predict_evaluate(learner, sample_size, X_train, y_train, X_test, y_test): 
+    '''
+    inputs:
+       - learner: the learning algorithm to be trained and predicted on
+       - sample_size: the size of samples (number) to be drawn from training set
+       - X_train: features training set
+       - y_train: quality training set
+       - X_test: features testing set
+       - y_test: quality testing set
+    '''
+    
+    results = {}
+    
+    """
+    Fit/train the learner to the training data using slicing with 'sample_size' 
+    using .fit(training_features[:], training_labels[:])
+    """
+    start = time() # Get start time of training
+    learner = learner.fit(X_train[:sample_size], y_train[:sample_size]) #Train the model
+    end = time() # Get end time of training
+    
+    # Calculate the training time
+    results['train_time'] = end - start
+    
+    """
+    Get the predictions on the first 300 training samples(X_train), 
+    and also predictions on the test set(X_test) using .predict()
+    """
+    start = time() # Get start time
+    predictions_train = learner.predict(X_train[:300])
+    predictions_test = learner.predict(X_test)
+    
+    end = time() # Get end time
+    
+    # Calculate the total prediction time
+    results['pred_time'] = end - start
+            
+    # Compute accuracy on the first 300 training samples which is y_train[:300]
+    results['acc_train'] = accuracy_score(y_train[:300], predictions_train)
+        
+    # Compute accuracy on test set using accuracy_score()
+    results['acc_test'] = accuracy_score(y_test, predictions_test)
+    
+    # Compute F1-score on the the first 300 training samples using fbeta_score()
+    results['f_train'] = fbeta_score(y_train[:300], predictions_train, beta=0.5, average='micro')
+        
+    # Compute F1-score on the test set which is y_test
+    results['f_test'] = fbeta_score(y_test, predictions_test, beta=0.5, average='micro')
+       
+    # Success
+    print("{} trained on {} samples.".format(learner.__class__.__name__, sample_size))
+        
+    # Return the results
+    return results
+
+ +
+
+
+ +
+
+
+
+
+

Implementation: Initial Model Evaluation

In the code cell, you will need to implement the following:

+
    +
  • Import the three supervised learning models you've discussed in the previous section.
  • +
  • Initialize the three models and store them in 'clf_A', 'clf_B', and 'clf_C'.
      +
    • Use a 'random_state' for each model you use, if provided.
    • +
    • Note: Use the default settings for each model — you will tune one specific model in a later section.
    • +
    +
  • +
  • Calculate the number of records equal to 1%, 10%, and 100% of the training data.
      +
    • Store those values in 'samples_1', 'samples_10', and 'samples_100' respectively.
    • +
    +
  • +
+

Note: Depending on which algorithms you chose, the following implementation may take some time to run!

+

Further reading: https://stackoverflow.com/questions/31421413/how-to-compute-precision-recall-accuracy-and-f1-score-for-the-multiclass-case

+ +
+
+
+
+
+
In [21]:
+
+
+
# Import any three supervised learning classification models from sklearn
+from sklearn.naive_bayes import GaussianNB
+from sklearn.tree import DecisionTreeClassifier
+from sklearn.ensemble import RandomForestClassifier
+#from sklearn.linear_model import LogisticRegression
+
+# Initialize the three models
+clf_A = GaussianNB()
+clf_B = DecisionTreeClassifier(max_depth=None, random_state=None)
+clf_C = RandomForestClassifier(max_depth=None, random_state=None)
+
+
+# Calculate the number of samples for 1%, 10%, and 100% of the training data
+# HINT: samples_100 is the entire training set i.e. len(y_train)
+# HINT: samples_10 is 10% of samples_100
+# HINT: samples_1 is 1% of samples_100
+
+samples_100 = len(y_train)
+samples_10 = int(len(y_train)*10/100)
+samples_1 = int(len(y_train)*1/100)
+
+# Collect results on the learners
+results = {}
+for clf in [clf_A, clf_B, clf_C]:
+    clf_name = clf.__class__.__name__
+    results[clf_name] = {}
+    for i, samples in enumerate([samples_1, samples_10, samples_100]):
+        results[clf_name][i] = \
+        train_predict_evaluate(clf, samples, X_train, y_train, X_test, y_test)
+
+#print(results)
+
+# Run metrics visualization for the three supervised learning models chosen
+vs.visualize_classification_performance(results)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
GaussianNB trained on 12 samples.
+GaussianNB trained on 127 samples.
+GaussianNB trained on 1279 samples.
+DecisionTreeClassifier trained on 12 samples.
+DecisionTreeClassifier trained on 127 samples.
+DecisionTreeClassifier trained on 1279 samples.
+RandomForestClassifier trained on 12 samples.
+RandomForestClassifier trained on 127 samples.
+RandomForestClassifier trained on 1279 samples.
+
+
+
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+
+

Question: Why does Gaussian Naive Bayes perform poorly compared to the other methods?

+
+
+
+
+
+
+
+

Answer:

+
+
+
+
+
+
+
+
+

Feature Importance

An important task when performing supervised learning on a dataset like the census data we study here is determining which features provide the most predictive power. By focusing on the relationship between only a few crucial features and the target label we simplify our understanding of the phenomenon, which is most always a useful thing to do. In the case of this project, that means we wish to identify a small number of features that most strongly predict the quality of wines.

+

Choose a scikit-learn classifier (e.g., adaboost, random forests) that has a feature_importance_ attribute, which is a function that ranks the importance of features according to the chosen classifier. In the next python cell fit this classifier to training set and use this attribute to determine the top 5 most important features for the wines dataset.

+ +
+
+
+
+
+
+
+

Implementation - Extracting Feature Importance

Choose a scikit-learn supervised learning algorithm that has a feature_importance_ attribute availble for it. This attribute is a function that ranks the importance of each feature when making predictions based on the chosen algorithm.

+

In the code cell below, you will need to implement the following:

+
    +
  • Import a supervised learning model from sklearn if it is different from the three used earlier.
  • +
  • Train the supervised model on the entire training set.
  • +
  • Extract the feature importances using '.feature_importances_'.
  • +
+ +
+
+
+
+
+
In [22]:
+
+
+
# Import a supervised learning model that has 'feature_importances_'
+model = RandomForestClassifier(max_depth=None, random_state=None)
+
+# Train the supervised model on the training set using .fit(X_train, y_train)
+model = model.fit(X_train, y_train)
+
+# Extract the feature importances using .feature_importances_ 
+importances = model.feature_importances_
+
+print(X_train.columns)
+print(importances)
+
+# Plot
+vs.feature_plot(importances, X_train, y_train)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
Index(['fixed acidity', 'volatile acidity', 'citric acid', 'residual sugar',
+       'chlorides', 'free sulfur dioxide', 'total sulfur dioxide', 'density',
+       'pH', 'sulphates', 'alcohol'],
+      dtype='object')
+[ 0.07678729  0.14383287  0.07966764  0.08609296  0.06702213  0.07153301
+  0.07083003  0.08641077  0.07436436  0.09575951  0.14769944]
+
+
+
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+
+

Hyperparameter tuning using GridSearchCV:

+
+
+
+
+
+
In [23]:
+
+
+
# TODO: Import 'GridSearchCV', 'make_scorer', and any other necessary libraries
+from sklearn.model_selection import GridSearchCV
+from sklearn.metrics import make_scorer
+
+# TODO: Initialize the classifier
+clf = RandomForestClassifier(max_depth=None, random_state=None)
+
+# Create the parameters or base_estimators list you wish to tune, using a dictionary if needed.
+# Example: parameters = {'parameter_1': [value1, value2], 'parameter_2': [value1, value2]}
+
+"""
+n_estimators: Number of trees in the forest
+max_features: The number of features to consider when looking for the best split
+max_depth: The maximum depth of the tree
+"""
+parameters = {'n_estimators': [10, 20, 30], 'max_features':[3,4,5, None], 'max_depth': [5,6,7, None]}
+
+# TODO: Make an fbeta_score scoring object using make_scorer()
+scorer = make_scorer(fbeta_score, beta=0.5, average="micro")
+
+# TODO: Perform grid search on the claszsifier using 'scorer' as the scoring method using GridSearchCV()
+grid_obj = GridSearchCV(clf, parameters, scoring=scorer)
+
+# TODO: Fit the grid search object to the training data and find the optimal parameters using fit()
+grid_fit = grid_obj.fit(X_train, y_train)
+
+# Get the estimator
+best_clf = grid_fit.best_estimator_
+
+# Make predictions using the unoptimized and model
+predictions = (clf.fit(X_train, y_train)).predict(X_test)
+best_predictions = best_clf.predict(X_test)
+
+# Report the before-and-afterscores
+print("Unoptimized model\n------")
+print("Accuracy score on testing data: {:.4f}".format(accuracy_score(y_test, predictions)))
+print("F-score on testing data: {:.4f}".format(fbeta_score(y_test, predictions, beta = 0.5, average="micro")))
+print("\nOptimized Model\n------")
+print(best_clf)
+print("\nFinal accuracy score on the testing data: {:.4f}".format(accuracy_score(y_test, best_predictions)))
+print("Final F-score on the testing data: {:.4f}".format(fbeta_score(y_test, best_predictions, beta = 0.5,  average="micro")))
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
Unoptimized model
+------
+Accuracy score on testing data: 0.8906
+F-score on testing data: 0.8906
+
+Optimized Model
+------
+RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+            max_depth=None, max_features=3, max_leaf_nodes=None,
+            min_impurity_decrease=0.0, min_impurity_split=None,
+            min_samples_leaf=1, min_samples_split=2,
+            min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=1,
+            oob_score=False, random_state=None, verbose=0,
+            warm_start=False)
+
+Final accuracy score on the testing data: 0.8969
+Final F-score on the testing data: 0.8969
+
+
+
+ +
+
+ +
+
+
+
+
+

Finally, you can test out your model by giving it a bunch of inputs:

+
+
+
+
+
+
In [25]:
+
+
+
"""Give inputs in this order: fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free sulfur dioxide,
+total sulfur dioxide, density, pH, sulphates, alcohol
+
+"""
+wine_data = [[8, 0.2, 0.16, 1.8, 0.065, 3, 16, 0.9962, 3.42, 0.92, 9.5],
+            [8, 0, 0.16, 1.8, 0.065, 3, 16, 0.9962, 3.42, 0.92, 1 ],
+            [7.4, 2, 0.00, 1.9, 0.076, 11.0, 34.0, 0.9978, 3.51, 0.56, 0.6]]
+               
+# Show predictions
+for i, quality in enumerate(best_clf.predict(wine_data)):
+    print("Predicted quality for Wine {} is: {}".format(i+1, quality))
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
Predicted quality for Wine 1 is: 1
+Predicted quality for Wine 2 is: 2
+Predicted quality for Wine 3 is: 1
+
+
+
+ +
+
+ +
+
+
+
+
+

Question: What conclusions can you draw based on the above observations? Would you say that the model is more good at predicting average quality wines? Why?

+
+
+
+
+
+
+
+

TODOS:

    +
  1. Try solving this exercise again as a regression problem. Some of the common algorithms you can try from sklearn are DecisionTreeRegressor, RandomForestRegressor, and using AdaBoostRegressor with DecisionTreeRegressor. Some of the performance metrics that you might need to use in place of Accuracy and f1score are Mean Squared Error and R2Score

    +
  2. +
  3. Try using the White Wines data-set in place of the Red Wines

    +
  4. +
+ +
+
+
+
+
+ + + + + + diff --git a/sagemaker-exercises/game-of-wines.html b/sagemaker-exercises/game-of-wines.html new file mode 100644 index 0000000..d714fe9 --- /dev/null +++ b/sagemaker-exercises/game-of-wines.html @@ -0,0 +1,65750 @@ + + + +wine-app + + + + + + + + + + + + + + + + + + + +
+
+ +
+
+
+
+

Part 1: Using Data Science to Understand What Makes Wine Taste Good

+
+
+
+
+
+
+
+

Section 1: Data Exploration

In this section, we'll do some exploratory analysis to understand the nature of our data and the underlying distribution.

+ +
+
+
+
+
+
+
+

First, import some necessary libraries.

Click the below cell block and run it.

+
+
+
+
+
+
In [1]:
+
+
+
# Import libraries necessary for this project
+import numpy as np
+import pandas as pd
+from time import time
+from IPython.display import display # Allows the use of display() for displaying DataFrames
+
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+# Import supplementary visualization code visuals.py from project root folder
+import visuals as vs
+
+# Pretty display for notebooks
+%matplotlib inline
+
+ +
+
+
+ +
+
+
+
+
+

Usage of these libraries:

    +
  • numpy is a package in python that is used for scientific computing. It supports higher-order mathematical functions, higher dimensional arrays, matrices and other data structures.
  • +
  • pandas is a very popular library that is used for a lot of data analysis and statistics related problems.
  • +
  • time - standard module in python that allows for time related functions
  • +
  • display is a module in the IPython toolkit that helps you display data structures in a nice, readable format.
  • +
  • matplotlib is a very popular visualization library that lets you create a wide array of figures, charts and graphs in the IPython Notebook
  • +
  • seaborn is another visualization tool that uses matplotlib underneath, and provides you with easy-to-use APIs for visualization. It also makes your graphs more prettier!
  • +
+ +
+
+
+
+
+
+
+

Next, we'll load the dataset for red wines, and display the first 5 columns. Run the below cell block

+
+
+
+
+
+
In [2]:
+
+
+
# Load the Red Wines dataset
+data = pd.read_csv("data/winequality-red.csv", sep=';')
+
+# Display the first five records
+display(data.head(n=5))
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
07.40.700.001.90.07611.034.00.99783.510.569.45
17.80.880.002.60.09825.067.00.99683.200.689.85
27.80.760.042.30.09215.054.00.99703.260.659.85
311.20.280.561.90.07517.060.00.99803.160.589.86
47.40.700.001.90.07611.034.00.99783.510.569.45
+
+
+ +
+ +
+
+ +
+
+
+
+
+

Now, let's do some basic preliminary analysis of our data:

+
+
+
+
+
+
+
+

We'll begin by first seeing if our data has any missing information

+
+
+
+
+
+
In [3]:
+
+
+
data.isnull().any()
+
+ +
+
+
+ +
+
+ + +
+ +
Out[3]:
+ + + + +
+
fixed acidity           False
+volatile acidity        False
+citric acid             False
+residual sugar          False
+chlorides               False
+free sulfur dioxide     False
+total sulfur dioxide    False
+density                 False
+pH                      False
+sulphates               False
+alcohol                 False
+quality                 False
+dtype: bool
+
+ +
+ +
+
+ +
+
+
+
+
+

Examine the features in the data-set and their data types

+
+
+
+
+
+
In [4]:
+
+
+
data.info()
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
<class 'pandas.core.frame.DataFrame'>
+RangeIndex: 1599 entries, 0 to 1598
+Data columns (total 12 columns):
+fixed acidity           1599 non-null float64
+volatile acidity        1599 non-null float64
+citric acid             1599 non-null float64
+residual sugar          1599 non-null float64
+chlorides               1599 non-null float64
+free sulfur dioxide     1599 non-null float64
+total sulfur dioxide    1599 non-null float64
+density                 1599 non-null float64
+pH                      1599 non-null float64
+sulphates               1599 non-null float64
+alcohol                 1599 non-null float64
+quality                 1599 non-null int64
+dtypes: float64(11), int64(1)
+memory usage: 150.0 KB
+
+
+
+ +
+
+ +
+
+
+
+
+

The last column quality is a metric of how good a specific wine was rated to be. For our purposes, let's consider all wines with ratings 7 and above to be of very good quality, wines with 5 and 6 to be of average quality, and wines less than 5 to be of insipid quality.

+
+
+
+
+
+
In [5]:
+
+
+
n_wines = data.shape[0]
+
+# Number of wines with quality rating above 6
+quality_above_6 = data.loc[(data['quality'] > 6)]
+n_above_6 = quality_above_6.shape[0]
+
+# Number of wines with quality rating below 5
+quality_below_5 = data.loc[(data['quality'] < 5)]
+n_below_5 = quality_below_5.shape[0]
+
+# Number of wines with quality rating between 5 to 6
+quality_between_5 = data.loc[(data['quality']) >= 5 & (data['quality'] <= 6)]
+n_between_5 = quality_between_5.shape[0]
+
+# Percentage of wines with quality rating above 6
+greater_percent = n_above_6*100/n_wines
+
+# Print the results
+print("Total number of wine data: {}".format(n_wines))
+print("Wines with rating 7 and above: {}".format(n_above_6))
+print("Wines with rating less than 5: {}".format(n_below_5))
+print("Wines with rating 5 and 6: {}".format(n_between_5))
+print("Percentage of wines with quality 7 and above: {:.2f}%".format(greater_percent))
+
+# Some more additional data analysis
+display(np.round(data.describe()))
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
Total number of wine data: 1599
+Wines with rating 7 and above: 217
+Wines with rating less than 5: 63
+Wines with rating 5 and 6: 1599
+Percentage of wines with quality 7 and above: 13.57%
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
count1599.01599.01599.01599.01599.01599.01599.01599.01599.01599.01599.01599.0
mean8.01.00.03.00.016.046.01.03.01.010.06.0
std2.00.00.01.00.010.033.00.00.00.01.01.0
min5.00.00.01.00.01.06.01.03.00.08.03.0
25%7.00.00.02.00.07.022.01.03.01.010.05.0
50%8.01.00.02.00.014.038.01.03.01.010.06.0
75%9.01.00.03.00.021.062.01.03.01.011.06.0
max16.02.01.016.01.072.0289.01.04.02.015.08.0
+
+
+ +
+ +
+
+ +
+
+
+
+
+

Run the following cell block to see the distributions on a graph

+
+
+
+
+
+
In [7]:
+
+
+
# Visualize skewed continuous features of original data
+vs.distribution(data, "quality")
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+
+

As we can see, most fines fall under average quality (between 5 and 6). Wines which were rated high are in the lower hundreds, whereas there are very few wines that aren't tasty enough (low ratings).

+

Next, since our aim is to predict the quality of wines, we’ll now extract the last column and store it separately.

+ +
+
+
+
+
+
+
+

Section 2: Exploring Relationships between features

+
+
+
+
+
+
In [8]:
+
+
+
pd.plotting.scatter_matrix(data, alpha = 0.3, figsize = (40,40), diagonal = 'kde');
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
In [9]:
+
+
+
correlation = data.corr()
+#display(correlation)
+plt.figure(figsize=(14, 12))
+heatmap = sns.heatmap(correlation, annot=True, linewidths=0, vmin=-1, cmap="RdBu_r")
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
In [10]:
+
+
+
#Create a new dataframe containing only pH and fixed acidity columns to visualize their co-relations
+fixedAcidity_pH = data[['pH', 'fixed acidity']]
+
+#Initialize a joint-grid with the dataframe, using seaborn library
+gridA = sns.JointGrid(x="fixed acidity", y="pH", data=fixedAcidity_pH, size=6)
+
+#Draws a regression plot in the grid 
+gridA = gridA.plot_joint(sns.regplot, scatter_kws={"s": 10})
+
+#Draws a distribution plot in the same grid
+gridA = gridA.plot_marginals(sns.distplot)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
In [11]:
+
+
+
fixedAcidity_citricAcid = data[['citric acid', 'fixed acidity']]
+g = sns.JointGrid(x="fixed acidity", y="citric acid", data=fixedAcidity_citricAcid, size=6)
+g = g.plot_joint(sns.regplot, scatter_kws={"s": 10})
+g = g.plot_marginals(sns.distplot)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
In [12]:
+
+
+
fixedAcidity_density = data[['density', 'fixed acidity']]
+gridB = sns.JointGrid(x="fixed acidity", y="density", data=fixedAcidity_density, size=6)
+gridB = gridB.plot_joint(sns.regplot, scatter_kws={"s": 10})
+gridB = gridB.plot_marginals(sns.distplot)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
In [13]:
+
+
+
volatileAcidity_quality = data[['quality', 'volatile acidity']]
+g = sns.JointGrid(x="volatile acidity", y="quality", data=volatileAcidity_quality, size=6)
+g = g.plot_joint(sns.regplot, scatter_kws={"s": 10})
+g = g.plot_marginals(sns.distplot)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
In [14]:
+
+
+
#We can visualize relationships of discreet values better with a bar plot
+
+fig, axs = plt.subplots(ncols=1,figsize=(10,6))
+sns.barplot(x='quality', y='volatile acidity', data=volatileAcidity_quality, ax=axs)
+plt.title('quality VS volatile acidity')
+
+plt.tight_layout()
+plt.show()
+plt.gcf().clear()
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+ +
+ + + + +
+
<matplotlib.figure.Figure at 0x7fd5b0c58c50>
+
+ +
+ +
+
+ +
+
+
+
In [15]:
+
+
+
quality_alcohol = data[['alcohol', 'quality']]
+
+g = sns.JointGrid(x="alcohol", y="quality", data=quality_alcohol, size=6)
+g = g.plot_joint(sns.regplot, scatter_kws={"s": 10})
+g = g.plot_marginals(sns.distplot)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
In [16]:
+
+
+
fig, axs = plt.subplots(ncols=1,figsize=(10,6))
+sns.barplot(x='quality', y='alcohol', data=quality_alcohol, ax=axs)
+plt.title('quality VS alcohol')
+
+plt.tight_layout()
+plt.show()
+plt.gcf().clear()
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+ +
+ + + + +
+
<matplotlib.figure.Figure at 0x7fd5b06a1ef0>
+
+ +
+ +
+
+ +
+
+
+
In [17]:
+
+
+
# TODO: Select any two features of your choice and view their relationship
+# featureA = 'pH'
+# featureB = 'alcohol'
+# featureA_featureB = data[[featureA, featureB]]
+
+# g = sns.JointGrid(x=featureA, y=featureB, data=featureA_featureB, size=6)
+# g = g.plot_joint(sns.regplot, scatter_kws={"s": 10})
+# g = g.plot_marginals(sns.distplot)
+
+# fig, axs = plt.subplots(ncols=1,figsize=(10,6))
+# sns.barplot(x=featureA, y=featureB, data=featureA_featureB, ax=axs)
+# plt.title('quality VS alcohol')
+
+# plt.tight_layout()
+# plt.show()
+# plt.gcf().clear()
+
+ +
+
+
+ +
+
+
+
+
+

Outlier Detection:

Detecting outliers in the data is extremely important in the data preprocessing step of any analysis. The presence of outliers can often skew results which take into consideration these data points. There are many "rules of thumb" for what constitutes an outlier in a dataset. Here, we will use Tukey's Method for identfying outliers: An outlier step is calculated as 1.5 times the interquartile range (IQR). A data point with a feature that is beyond an outlier step outside of the IQR for that feature is considered abnormal.

+

In the code block below:

+
    +
  • Assign the value of the 25th percentile for the given feature to Q1. Use np.percentile for this.
  • +
  • Assign the value of the 75th percentile for the given feature to Q3. Again, use np.percentile.
  • +
  • Assign the calculation of an outlier step for the given feature to step.
  • +
  • Optionally remove data points from the dataset by adding indices to the outliers list.
  • +
+

NOTE: If you choose to remove any outliers, ensure that the sample data does not contain any of these points! +Once you have performed this implementation, the dataset will be stored in the variable good_data.

+ +
+
+
+
+
+
In [7]:
+
+
+
# For each feature find the data points with extreme high or low values
+for feature in data.keys():
+    
+    # TODO: Calculate Q1 (25th percentile of the data) for the given feature
+    Q1 = np.percentile(data[feature], q=25)
+    
+    # TODO: Calculate Q3 (75th percentile of the data) for the given feature
+    Q3 = np.percentile(data[feature], q=75)
+    
+    # TODO: Use the interquartile range to calculate an outlier step (1.5 times the interquartile range)
+    interquartile_range = Q3 - Q1
+    step = 1.5 * interquartile_range
+    
+    # Display the outliers
+    print("Data points considered outliers for the feature '{}':".format(feature))
+    display(data[~((data[feature] >= Q1 - step) & (data[feature] <= Q3 + step))])
+    
+# OPTIONAL: Select the indices for data points you wish to remove
+outliers  = []
+
+# Remove the outliers, if any were specified
+good_data = data.drop(data.index[outliers]).reset_index(drop = True)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
Data points considered outliers for the feature 'fixed acidity':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
20512.80.3000.742.60.0959.028.00.999403.200.7710.87
20612.80.3000.742.60.0959.028.00.999403.200.7710.87
24315.00.2100.442.20.07510.024.01.000053.070.849.27
24415.00.2100.442.20.07510.024.01.000053.070.849.27
26412.50.5600.492.40.0645.027.00.999903.080.8710.95
29413.30.3400.523.20.09417.053.01.001403.050.819.56
32813.40.2700.622.60.0826.021.01.000203.160.679.76
33812.40.4900.583.00.10328.099.01.000803.161.0011.56
33912.50.2800.542.30.08212.029.00.999703.111.369.87
34713.80.4900.673.00.0936.015.00.998603.020.9312.06
35313.50.5300.794.80.12023.077.01.001803.180.7713.05
35912.60.3800.662.60.08810.041.01.001003.170.689.86
36312.50.4600.632.00.0716.015.00.998802.990.8710.25
36412.80.6150.665.80.0837.042.01.002203.070.7310.07
36612.80.6150.665.80.0837.042.01.002203.070.7310.07
37414.00.4100.633.80.0896.047.01.001403.010.8110.86
38113.70.4150.682.90.08517.043.01.001403.060.8010.06
39113.70.4150.682.90.08517.043.01.001403.060.8010.06
39412.70.6000.652.30.0636.025.00.999703.030.579.95
40912.50.4600.494.50.07026.049.00.998103.050.579.64
42912.80.8400.632.40.08813.035.00.999703.100.6010.46
44012.60.3100.722.20.0726.029.00.998702.880.829.88
44215.60.6850.763.70.1006.043.01.003202.950.6811.27
44612.50.3800.602.60.08131.072.00.999603.100.7310.55
47013.00.3200.652.60.09315.047.00.999603.050.6110.65
47212.50.3700.552.60.08325.068.00.999503.150.8210.46
50913.30.2900.752.80.08423.043.00.998603.040.6811.47
51012.40.4200.494.60.07319.043.00.997803.020.619.55
51612.50.6000.494.30.1005.014.01.001003.250.7411.96
53812.90.3500.495.80.0665.035.01.001403.200.6612.07
54414.30.3100.741.80.0756.015.01.000802.860.798.46
54812.40.3500.492.60.07927.069.00.999403.120.7510.46
55415.50.6450.494.20.09510.023.01.003152.920.7411.15
55515.50.6450.494.20.09510.023.01.003152.920.7411.15
55715.60.6450.494.20.09510.023.01.003152.920.7411.15
55913.00.4700.494.30.0856.047.01.002103.300.6812.76
56012.70.6000.492.80.0755.019.00.999403.140.5711.45
56413.00.4700.494.30.0856.047.01.002103.300.6812.76
56512.70.6000.492.80.0755.019.00.999403.140.5711.45
59612.40.4000.512.00.0596.024.00.999403.040.609.36
59912.70.5900.452.30.08211.022.01.000003.000.709.36
60113.20.4600.522.20.07112.035.01.000603.100.569.06
60313.20.4600.522.20.07112.035.01.000603.100.569.06
61113.20.3800.552.70.0815.016.01.000602.980.549.45
65215.90.3600.657.50.09622.071.00.997602.980.8414.95
68013.30.4300.581.90.07015.040.01.000403.060.499.05
81112.90.5000.552.80.0727.024.01.000123.090.6810.96
81412.60.4100.542.80.10319.041.00.999393.210.7611.36
122412.60.3900.492.50.0808.020.00.999203.070.8210.36
+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'volatile acidity':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
385.71.1300.091.500.1727.019.00.994003.500.489.84
945.01.0200.041.400.04541.085.00.993803.750.4810.54
1207.31.0700.091.700.17810.089.00.996203.300.579.05
1268.21.3300.001.700.0813.012.00.996403.530.4910.95
1278.11.3300.001.800.0823.012.00.996403.540.4810.95
1347.91.0400.052.200.08413.029.00.995903.220.559.96
1996.91.0900.062.100.06112.031.00.994803.510.4311.44
5535.01.0400.241.600.05032.096.00.993403.740.6211.55
6729.81.2400.342.000.07932.0151.00.998003.150.539.55
6907.41.1850.004.250.0975.014.00.996603.630.5410.73
70010.61.0200.432.900.07626.088.00.998403.080.5710.16
7058.41.0350.156.000.07311.054.00.999003.370.499.95
71010.61.0250.432.800.08021.084.00.998503.060.5710.15
7247.51.1150.103.100.0865.012.00.995803.540.6011.24
8998.31.0200.023.400.0846.011.00.998923.480.4911.03
12616.31.0200.002.000.08317.024.00.994373.590.5511.24
12997.61.5800.002.100.1375.09.00.994763.500.4010.93
13128.01.1800.211.900.08314.041.00.995323.340.4710.55
14676.71.0400.082.300.06719.032.00.996483.520.5711.04
+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'citric acid':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
1519.20.521.03.40.6132.069.00.99962.742.09.44
+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'residual sugar':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
97.50.5000.366.100.07117.0102.00.997803.350.8010.5000005
117.50.5000.366.100.07117.0102.00.997803.350.8010.5000005
148.90.6200.183.800.17652.0145.00.998603.160.889.2000005
158.90.6200.193.900.17051.0148.00.998603.170.939.2000005
187.40.5900.084.400.0866.029.00.997403.380.509.0000004
336.90.6050.1210.700.07340.083.00.999303.450.529.4000006
357.80.6450.005.500.0865.018.00.998603.400.559.6000006
397.30.4500.365.900.07412.087.00.997803.330.8310.5000005
407.30.4500.365.900.07412.087.00.997803.330.8310.5000005
557.70.6200.043.800.08425.045.00.997803.340.539.5000005
577.50.6300.125.100.11150.0110.00.998303.260.779.4000005
647.20.7250.054.650.0864.011.00.996203.410.3910.9000005
657.20.7250.054.650.0864.011.00.996203.410.3910.9000005
1547.10.4300.425.500.07029.0129.00.997303.420.7210.5000005
1557.10.4300.425.500.07128.0128.00.997303.420.7110.5000005
1567.10.4300.425.500.07029.0129.00.997303.420.7210.5000005
1577.10.4300.425.500.07128.0128.00.997303.420.7110.5000005
1637.40.6000.267.300.07036.0121.00.998203.370.499.4000005
1647.30.5900.267.200.07035.0121.00.998103.370.499.4000005
1926.80.6300.123.800.09916.0126.00.996903.280.619.5000005
2157.00.4900.495.600.06026.0121.00.997403.340.7610.5000005
26911.50.1800.514.000.1044.023.00.999603.280.9710.1000006
2707.90.5450.064.000.08727.061.00.996503.360.6710.7000006
27111.50.1800.514.000.1044.023.00.999603.280.9710.1000006
27210.90.3700.584.000.07117.065.00.999353.220.7810.1000005
2747.50.6500.187.000.08827.094.00.999153.380.779.4000005
2757.90.5450.064.000.08727.061.00.996503.360.6710.7000006
27711.50.1800.514.000.1044.023.00.999603.280.9710.1000006
27810.30.3200.456.400.0735.013.00.997603.230.8212.6000008
2798.90.4000.325.600.08710.047.00.999103.380.7710.5000007
.......................................
12897.00.6000.304.500.06820.0110.00.999143.301.1710.2000005
12956.60.6300.004.300.09351.077.50.995583.200.459.5000005
12966.60.6300.004.300.09351.077.50.995583.200.459.5000005
13076.80.6800.093.900.06815.029.00.995243.410.5211.1000004
13317.80.8700.263.800.10731.067.00.996683.260.469.2000005
13587.40.6400.175.400.16852.098.00.997363.280.509.5000005
13737.70.7500.273.800.11034.089.00.996643.240.459.3000005
13886.60.6400.316.100.0837.049.00.997183.350.6810.3000005
13946.40.5700.143.900.07027.073.00.996693.320.489.2000005
14068.20.2400.345.100.0628.022.00.997403.220.9410.9000006
14128.20.2400.345.100.0628.022.00.997403.220.9410.9000006
14236.40.5300.093.900.12314.031.00.996803.500.6711.0000004
143410.20.5400.3715.400.21455.095.01.003693.180.779.0000006
143510.20.5400.3715.400.21455.095.01.003693.180.779.0000006
14376.80.9150.294.800.07015.039.00.995773.530.5411.1000005
14417.40.7850.195.200.09419.098.00.997133.160.529.5666676
14457.40.7850.195.200.09419.098.00.997133.160.529.6000006
14716.70.7000.083.750.0678.016.00.993343.430.5212.6000005
14749.90.5000.5013.800.20548.082.01.002423.160.758.8000005
14769.90.5000.5013.800.20548.082.01.002423.160.758.8000005
14787.10.8750.055.700.0823.014.00.998083.400.5210.2000003
15017.80.8200.294.300.08321.064.00.996423.160.539.4000005
15146.90.8400.214.100.07416.065.00.998423.530.729.2333336
15156.90.8400.214.100.07416.065.00.998423.530.729.2500006
15406.20.5200.084.400.07111.032.00.996463.560.6311.6000006
15526.30.6800.013.700.10332.054.00.995863.510.6611.3000006
15586.90.6300.336.700.23566.0115.00.997873.220.569.5000005
15745.60.3100.7813.900.07423.092.00.996773.390.4810.5000006
15776.20.7000.155.100.07613.027.00.996223.540.6011.9000006
15896.60.7250.207.800.07329.079.00.997703.290.549.2000005
+

155 rows × 12 columns

+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'chlorides':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
148.90.6200.183.800.17652.0145.00.998603.160.889.25
158.90.6200.193.900.17051.0148.00.998603.170.939.25
178.10.5600.281.700.36816.056.00.996803.111.289.35
197.90.3200.511.800.34117.056.00.996903.041.089.26
385.71.1300.091.500.1727.019.00.994003.500.489.84
427.50.4900.202.600.3328.014.00.996803.210.9010.56
817.80.4300.701.900.46422.067.00.997403.131.289.45
837.30.6700.261.800.40116.051.00.996903.161.149.45
1067.80.4100.681.700.46718.069.00.997303.081.319.35
1098.10.7850.522.000.12237.0153.00.996903.210.699.35
1207.31.0700.091.700.17810.089.00.996203.300.579.05
1259.00.6200.041.900.14627.090.00.998403.160.709.45
1477.60.4900.261.600.23610.088.00.996803.110.809.35
1519.20.5201.003.400.61032.069.00.999602.742.009.44
1697.50.7050.241.800.36015.063.00.996403.001.599.55
1818.90.6100.492.000.27023.0110.00.997203.121.029.35
2109.70.5300.602.000.0395.019.00.995853.300.8612.46
2268.90.5900.502.000.33727.081.00.996403.041.619.56
2408.90.6350.371.700.2635.062.00.997103.001.099.35
2587.70.4100.761.800.6118.045.00.996803.061.269.45
2817.70.2700.683.500.3585.010.00.997203.251.089.97
29111.00.2000.482.000.3436.018.00.997903.300.7110.55
3037.40.6700.121.600.1865.021.00.996003.390.549.55
30710.30.4100.422.400.2136.014.00.999403.190.629.56
30810.30.4300.442.400.2145.012.00.999403.190.639.56
32611.60.5300.663.650.1216.014.00.997803.050.7411.57
33010.20.3600.642.900.12210.041.00.998003.230.6612.56
33110.20.3600.642.900.12210.041.00.998003.230.6612.56
33511.90.6950.533.400.1287.021.00.999203.170.8412.27
35313.50.5300.794.800.12023.077.01.001803.180.7713.05
.......................................
110910.80.4700.432.100.17127.066.00.998203.170.7610.86
11467.80.5000.121.800.1786.021.00.996003.280.879.86
11658.50.4400.501.900.36915.038.00.996343.011.109.45
11916.50.8850.002.300.1666.012.00.995513.560.5110.85
11936.40.8850.002.300.1666.012.00.995513.560.5110.85
12079.90.7200.551.700.13624.052.00.997523.350.9410.05
122010.90.3200.521.800.13217.044.00.997343.280.7711.56
122110.90.3200.521.800.13217.044.00.997343.280.7711.56
12527.10.7200.001.800.1236.014.00.996273.450.589.85
12586.80.6400.002.700.12315.033.00.995383.440.6311.36
12596.80.6400.002.700.12315.033.00.995383.440.6311.36
12608.60.6350.681.800.40319.056.00.996323.021.159.35
12997.61.5800.002.100.1375.09.00.994763.500.4010.93
13199.10.7600.681.700.41418.064.00.996522.901.339.16
13347.20.8350.002.000.1664.011.00.996083.390.5210.05
13587.40.6400.175.400.16852.098.00.997363.280.509.55
13708.70.7800.511.700.41512.066.00.996233.001.179.25
13717.50.5800.563.100.1535.014.00.994763.211.0311.66
13728.70.7800.511.700.41512.066.00.996233.001.179.25
13746.80.8150.001.200.26716.029.00.994713.320.519.83
14236.40.5300.093.900.12314.031.00.996803.500.6711.04
143410.20.5400.3715.400.21455.095.01.003693.180.779.06
143510.20.5400.3715.400.21455.095.01.003693.180.779.06
143610.00.3800.381.600.16927.090.00.999143.150.658.55
14749.90.5000.5013.800.20548.082.01.002423.160.758.85
14769.90.5000.5013.800.20548.082.01.002423.160.758.85
14907.10.2200.491.800.0398.018.00.993443.390.5612.46
15586.90.6300.336.700.23566.0115.00.997873.220.569.55
15706.40.3600.532.200.23019.035.00.993403.370.9312.46
15716.40.3800.142.200.03815.025.00.995143.440.6511.16
+

112 rows × 12 columns

+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'free sulfur dioxide':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
148.90.6200.183.800.17652.0145.00.998603.160.889.25
158.90.6200.193.900.17051.0148.00.998603.170.939.25
577.50.6300.125.100.11150.0110.00.998303.260.779.45
3966.60.7350.027.900.12268.0124.00.999403.470.539.95
4006.60.7350.027.900.12268.0124.00.999403.470.539.95
4977.20.3400.322.500.09043.0113.00.996603.320.7911.15
5228.20.3900.492.300.09947.0133.00.997903.380.999.85
58411.80.3300.493.400.09354.080.01.000203.300.7610.77
6347.90.3500.211.900.07346.0102.00.996403.270.589.55
6788.30.7800.102.600.08145.087.00.998303.480.5310.05
9258.60.2200.361.900.06453.077.00.996043.470.8711.07
9269.40.2400.332.300.06152.073.00.997863.470.9010.26
9827.30.5200.322.100.07051.070.00.994183.340.8212.96
10759.10.2500.342.000.07145.067.00.997693.440.8610.27
11315.90.1900.211.700.04557.0135.00.993413.320.449.55
11546.60.5800.002.200.10050.063.00.995443.590.6811.46
11568.50.1800.511.750.07145.088.00.995243.330.7611.87
11756.50.6100.002.200.09548.059.00.995413.610.7011.56
12178.20.3400.371.900.05743.074.00.994083.230.8112.06
12317.80.8150.012.600.07448.090.00.996213.380.6210.85
12445.90.2900.2513.400.06772.0160.00.997213.330.5410.36
12567.50.5900.221.800.08243.060.00.994993.100.429.25
12956.60.6300.004.300.09351.077.50.995583.200.459.55
12966.60.6300.004.300.09351.077.50.995583.200.459.55
13587.40.6400.175.400.16852.098.00.997363.280.509.55
143410.20.5400.3715.400.21455.095.01.003693.180.779.06
143510.20.5400.3715.400.21455.095.01.003693.180.779.06
14749.90.5000.5013.800.20548.082.01.002423.160.758.85
14769.90.5000.5013.800.20548.082.01.002423.160.758.85
15586.90.6300.336.700.23566.0115.00.997873.220.569.55
+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'total sulfur dioxide':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
148.90.6200.183.80.17652.0145.00.998603.160.889.25
158.90.6200.193.90.17051.0148.00.998603.170.939.25
868.60.4900.281.90.11020.0136.00.997202.931.959.96
889.30.3900.442.10.10734.0125.00.997803.141.229.55
907.90.5200.261.90.07942.0140.00.996403.230.549.55
918.60.4900.281.90.11020.0136.00.997202.931.959.96
928.60.4900.292.00.11019.0133.00.997202.931.989.85
1098.10.7850.522.00.12237.0153.00.996903.210.699.35
1308.00.7450.562.00.11830.0134.00.996803.240.669.45
1458.10.6700.551.80.11732.0141.00.996803.170.629.45
1547.10.4300.425.50.07029.0129.00.997303.420.7210.55
1557.10.4300.425.50.07128.0128.00.997303.420.7110.55
1567.10.4300.425.50.07029.0129.00.997303.420.7210.55
1577.10.4300.425.50.07128.0128.00.997303.420.7110.55
1887.90.5000.332.00.08415.0143.00.996803.200.559.55
1897.90.4900.321.90.08217.0144.00.996803.200.559.55
1908.20.5000.352.90.07721.0127.00.997603.230.629.45
1926.80.6300.123.80.09916.0126.00.996903.280.619.55
2018.80.3700.482.10.09739.0145.00.997503.041.039.35
2197.80.5300.332.40.08024.0144.00.996553.300.609.55
3138.60.4700.303.00.07630.0135.00.997603.300.539.45
3546.10.2100.401.40.06640.5165.00.991203.250.5911.96
3966.60.7350.027.90.12268.0124.00.999403.470.539.95
4006.60.7350.027.90.12268.0124.00.999403.470.539.95
4158.60.7250.246.60.11731.0134.01.001403.321.079.35
4177.00.5800.121.90.09134.0124.00.995603.440.4810.55
4638.10.6600.702.20.09825.0129.00.997203.080.539.05
5158.50.6550.496.10.12234.0151.01.001003.311.149.35
5228.20.3900.492.30.09947.0133.00.997903.380.999.85
5239.30.4000.492.50.08538.0142.00.997803.220.559.45
5916.60.3900.491.70.07023.0149.00.992203.120.5011.56
6369.60.8800.282.40.08630.0147.00.997903.240.539.45
6379.50.8850.272.30.08431.0145.00.997803.240.539.45
6496.70.4200.278.60.06824.0148.00.994803.160.5711.36
6519.80.8800.252.50.10435.0155.01.001003.410.6711.25
6729.81.2400.342.00.07932.0151.00.998003.150.539.55
6849.80.9800.322.30.07835.0152.00.998003.250.489.45
6949.00.4700.312.70.08424.0125.00.998403.310.619.45
7237.10.3100.302.20.05336.0127.00.996502.941.629.55
7419.20.5300.242.60.07828.0139.00.997883.210.579.55
7719.40.6850.262.40.08223.0143.00.997803.280.559.45
7729.50.5700.272.30.08223.0144.00.997823.270.559.45
7918.80.6400.172.90.08425.0130.00.998183.230.549.65
10797.90.3000.688.30.05037.5278.00.993163.010.5112.37
10817.90.3000.688.30.05037.5289.00.993163.010.5112.37
11315.90.1900.211.70.04557.0135.00.993413.320.449.55
12445.90.2900.2513.40.06772.0160.00.997213.330.5410.36
14007.90.6900.212.10.08033.0141.00.996203.250.519.95
14017.90.6900.212.10.08033.0141.00.996203.250.519.95
14197.70.6400.212.20.07732.0133.00.995603.270.459.95
14937.70.5400.261.90.08923.0147.00.996363.260.599.75
14967.70.5400.261.90.08923.0147.00.996363.260.599.75
15597.80.6000.262.00.08031.0131.00.996223.210.529.95
15607.80.6000.262.00.08031.0131.00.996223.210.529.95
15617.80.6000.262.00.08031.0131.00.996223.210.529.95
+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'density':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
1425.20.3400.001.800.05027.063.00.991603.680.7914.0000006
1445.20.3400.001.800.05027.063.00.991603.680.7914.0000006
29413.30.3400.523.200.09417.053.01.001403.050.819.5000006
32410.00.4900.2011.000.07113.050.01.001503.160.699.2000006
32510.00.4900.2011.000.07113.050.01.001503.160.699.2000006
35313.50.5300.794.800.12023.077.01.001803.180.7713.0000005
3546.10.2100.401.400.06640.5165.00.991203.250.5911.9000006
36412.80.6150.665.800.0837.042.01.002203.070.7310.0000007
36612.80.6150.665.800.0837.042.01.002203.070.7310.0000007
37414.00.4100.633.800.0896.047.01.001403.010.8110.8000006
38113.70.4150.682.900.08517.043.01.001403.060.8010.0000006
39113.70.4150.682.900.08517.043.01.001403.060.8010.0000006
4158.60.7250.246.600.11731.0134.01.001403.321.079.3000005
44215.60.6850.763.700.1006.043.01.003202.950.6811.2000007
48010.60.2800.3915.500.0696.023.01.002603.120.669.2000005
53812.90.3500.495.800.0665.035.01.001403.200.6612.0000007
55415.50.6450.494.200.09510.023.01.003152.920.7411.1000005
55515.50.6450.494.200.09510.023.01.003152.920.7411.1000005
55715.60.6450.494.200.09510.023.01.003152.920.7411.1000005
55913.00.4700.494.300.0856.047.01.002103.300.6812.7000006
56413.00.4700.494.300.0856.047.01.002103.300.6812.7000006
5885.00.4200.242.000.06019.050.00.991703.720.7414.0000008
5916.60.3900.491.700.07023.0149.00.992203.120.5011.5000006
60810.10.6500.375.100.11011.065.01.002603.320.6410.4000006
6955.10.4700.021.300.03418.044.00.992103.900.6212.8000006
8214.90.4200.002.100.04816.042.00.991543.710.7414.0000007
8366.70.2800.282.400.01236.0100.00.990643.260.3911.7000007
8376.70.2800.282.400.01236.0100.00.990643.260.3911.7000007
88910.70.9000.346.600.11223.099.01.002893.220.689.3000005
9996.40.6900.001.650.0557.012.00.991623.470.5312.9000006
10178.00.1800.370.900.04936.0109.00.990072.890.4412.7000006
10188.00.1800.370.900.04936.0109.00.990072.890.4412.7000006
11145.00.4000.504.300.04629.080.00.990203.490.6613.6000006
11226.30.4700.001.400.05527.033.00.992203.450.4812.3000006
11265.80.2900.261.700.0633.011.00.991503.390.5413.5000006
12285.10.4200.001.800.04418.088.00.991573.680.7313.6000007
12695.50.4900.031.800.04428.087.00.990803.500.8214.0000008
12705.00.3800.011.600.04826.060.00.990843.700.7514.0000006
12985.70.6000.001.400.06311.018.00.991913.450.5612.2000006
143410.20.5400.3715.400.21455.095.01.003693.180.779.0000006
143510.20.5400.3715.400.21455.095.01.003693.180.779.0000006
14749.90.5000.5013.800.20548.082.01.002423.160.758.8000005
14755.30.4700.112.200.04816.089.00.991823.540.8813.5666677
14769.90.5000.5013.800.20548.082.01.002423.160.758.8000005
14775.30.4700.112.200.04816.089.00.991823.540.8813.6000007
+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'pH':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
454.60.5200.152.100.0548.065.00.993403.900.5613.14
945.01.0200.041.400.04541.085.00.993803.750.4810.54
954.70.6000.172.300.05817.0106.00.993203.850.6012.96
1519.20.5201.003.400.61032.069.00.999602.742.009.44
2686.90.5400.043.000.0777.027.00.998703.690.919.46
2766.90.5400.043.000.0777.027.00.998703.690.919.46
44012.60.3100.722.200.0726.029.00.998702.880.829.88
54414.30.3100.741.800.0756.015.01.000802.860.798.46
5535.01.0400.241.600.05032.096.00.993403.740.6211.55
55415.50.6450.494.200.09510.023.01.003152.920.7411.15
55515.50.6450.494.200.09510.023.01.003152.920.7411.15
55715.60.6450.494.200.09510.023.01.003152.920.7411.15
5885.00.4200.242.000.06019.050.00.991703.720.7414.08
6149.20.7550.182.200.14810.0103.00.996902.871.3610.26
65010.70.4300.392.200.1068.032.00.998602.890.509.65
65610.70.4300.392.200.1068.032.00.998602.890.509.65
65712.00.5000.591.400.07323.042.00.998002.920.6810.57
6955.10.4700.021.300.03418.044.00.992103.900.6212.86
8214.90.4200.002.100.04816.042.00.991543.710.7414.07
9306.60.6100.011.900.0808.025.00.997463.690.7310.55
9346.60.6100.011.900.0808.025.00.997463.690.7310.55
9965.60.6600.002.200.0873.011.00.993783.710.6312.87
9975.60.6600.002.200.0873.011.00.993783.710.6312.87
10178.00.1800.370.900.04936.0109.00.990072.890.4412.76
10188.00.1800.370.900.04936.0109.00.990072.890.4412.76
11115.40.4200.272.000.09223.055.00.994713.780.6412.37
12705.00.3800.011.600.04826.060.00.990843.700.7514.06
13005.20.6450.002.150.08015.028.00.994443.780.6112.56
13165.40.7400.001.200.04116.046.00.992584.010.5912.56
13199.10.7600.681.700.41418.064.00.996522.901.339.16
13215.00.7400.001.200.04116.046.00.992584.010.5912.56
13775.20.4900.262.300.09023.074.00.995303.710.6212.26
147010.00.6900.111.400.0848.024.00.995782.880.479.75
14885.60.5400.041.700.0495.013.00.994203.720.5811.45
14915.60.5400.041.700.0495.013.00.994203.720.5811.45
+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'sulphates':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
137.80.6100.291.60.1149.029.00.997403.261.569.15
178.10.5600.281.70.36816.056.00.996803.111.289.35
197.90.3200.511.80.34117.056.00.996903.041.089.26
438.10.6600.222.20.0699.023.00.996803.301.2010.35
798.30.6250.201.50.08027.0119.00.997203.161.129.14
817.80.4300.701.90.46422.067.00.997403.131.289.45
837.30.6700.261.80.40116.051.00.996903.161.149.45
868.60.4900.281.90.11020.0136.00.997202.931.959.96
889.30.3900.442.10.10734.0125.00.997803.141.229.55
918.60.4900.281.90.11020.0136.00.997202.931.959.96
928.60.4900.292.00.11019.0133.00.997202.931.989.85
1067.80.4100.681.70.46718.069.00.997303.081.319.35
1519.20.5201.003.40.61032.069.00.999602.742.009.44
1617.60.6800.021.30.0729.020.00.996503.171.089.24
1697.50.7050.241.80.36015.063.00.996403.001.599.55
1818.90.6100.492.00.27023.0110.00.997203.121.029.35
2018.80.3700.482.10.09739.0145.00.997503.041.039.35
2268.90.5900.502.00.33727.081.00.996403.041.619.56
2408.90.6350.371.70.2635.062.00.997103.001.099.35
2587.70.4100.761.80.6118.045.00.996803.061.269.45
2817.70.2700.683.50.3585.010.00.997203.251.089.97
33812.40.4900.583.00.10328.099.01.000803.161.0011.56
33912.50.2800.542.30.08212.029.00.999703.111.369.87
34012.20.3400.502.40.06610.021.01.000003.121.189.26
3699.40.2700.532.40.0746.018.00.996203.201.1312.07
3729.10.2800.481.80.06726.046.00.996703.321.0410.66
37611.50.4500.503.00.07819.047.01.000303.261.1111.06
3779.40.2700.532.40.0746.018.00.996203.201.1312.07
4158.60.7250.246.60.11731.0134.01.001403.321.079.35
4518.40.3700.531.80.4139.026.00.997903.061.069.16
47710.40.2400.491.80.0756.020.00.997703.181.0611.06
48210.60.3600.592.20.1526.018.00.998603.041.059.45
48310.60.3600.602.20.1527.018.00.998603.041.069.45
50310.50.2600.471.90.0786.024.00.997603.181.0410.97
50410.50.2400.421.80.0776.022.00.997603.211.0510.87
50610.40.2400.461.80.0756.021.00.997603.251.0210.87
5158.50.6550.496.10.12234.0151.01.001003.311.149.35
58611.10.3100.492.70.09416.047.00.998603.121.0210.67
6149.20.7550.182.20.14810.0103.00.996902.871.3610.26
6398.90.2900.351.90.06725.057.00.997003.181.3610.36
6898.10.3800.481.80.1575.017.00.997603.301.059.45
6928.60.4900.512.00.42216.062.00.997903.031.179.05
7237.10.3100.302.20.05336.0127.00.996502.941.629.55
7547.80.4800.681.70.41514.032.00.996563.091.069.16
79510.80.8900.302.60.1327.060.00.997862.991.1810.25
8528.00.4200.322.50.08026.0122.00.998013.221.079.75
10518.50.4600.591.40.41416.045.00.997023.031.349.25
11586.70.4100.432.80.07622.054.00.995723.421.1610.66
11658.50.4400.501.90.36915.038.00.996343.011.109.45
12608.60.6350.681.80.40319.056.00.996323.021.159.35
12887.00.6000.304.50.06820.0110.00.999143.301.1710.25
12897.00.6000.304.50.06820.0110.00.999143.301.1710.25
13199.10.7600.681.70.41418.064.00.996522.901.339.16
13676.90.5400.302.20.0889.0105.00.997253.251.1810.56
13708.70.7800.511.70.41512.066.00.996233.001.179.25
13717.50.5800.563.10.1535.014.00.994763.211.0311.66
13728.70.7800.511.70.41512.066.00.996233.001.179.25
14037.20.3300.331.70.0613.013.00.996003.231.1010.08
14088.10.2900.362.20.04835.053.00.995003.271.0112.47
+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'alcohol':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
1425.20.340.001.80.05027.063.00.991603.680.7914.0000006
1445.20.340.001.80.05027.063.00.991603.680.7914.0000006
4678.80.460.452.60.0657.018.00.994703.320.7914.0000006
5885.00.420.242.00.06019.050.00.991703.720.7414.0000008
65215.90.360.657.50.09622.071.00.997602.980.8414.9000005
8214.90.420.002.10.04816.042.00.991543.710.7414.0000007
11145.00.400.504.30.04629.080.00.990203.490.6613.6000006
11327.40.360.341.80.07518.038.00.993303.380.8813.6000007
12285.10.420.001.80.04418.088.00.991573.680.7313.6000007
12695.50.490.031.80.04428.087.00.990803.500.8214.0000008
12705.00.380.011.60.04826.060.00.990843.700.7514.0000006
14755.30.470.112.20.04816.089.00.991823.540.8813.5666677
14775.30.470.112.20.04816.089.00.991823.540.8813.6000007
+
+
+ +
+ +
+ +
+ + +
+
Data points considered outliers for the feature 'quality':
+
+
+
+ +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
2677.90.3500.463.600.07815.037.00.997303.350.8612.808
27810.30.3200.456.400.0735.013.00.997603.230.8212.608
3905.60.8500.051.400.04512.088.00.992403.560.8212.908
44012.60.3100.722.200.0726.029.00.998702.880.829.808
45511.30.6200.675.200.0866.019.00.998803.220.6913.408
45911.60.5800.662.200.07410.047.01.000803.250.579.003
4819.40.3000.562.800.0806.017.00.996403.150.9211.708
49510.70.3500.532.600.0705.016.00.997203.150.6511.008
49810.70.3500.532.600.0705.016.00.997203.150.6511.008
51710.40.6100.492.100.2005.016.00.999403.160.638.403
5885.00.4200.242.000.06019.050.00.991703.720.7414.008
6907.41.1850.004.250.0975.014.00.996603.630.5410.703
8287.80.5700.092.300.06534.045.00.994173.460.7412.708
83210.40.4400.421.500.14534.048.00.998323.380.869.903
8998.31.0200.023.400.0846.011.00.998923.480.4911.003
10619.10.4000.501.800.0717.016.00.994623.210.6912.508
109010.00.2600.541.900.08342.074.00.994512.980.6311.808
11207.90.5400.342.500.0768.017.00.992353.200.7213.108
12028.60.4200.391.800.0686.012.00.995163.350.6911.708
12695.50.4900.031.800.04428.087.00.990803.500.8214.008
12997.61.5800.002.100.1375.09.00.994763.500.4010.903
13746.80.8150.001.200.26716.029.00.994713.320.519.803
14037.20.3300.331.700.0613.013.00.996003.231.1010.008
14497.20.3800.312.000.05615.029.00.994723.230.7611.308
14697.30.9800.052.100.06120.049.00.997053.310.559.703
14787.10.8750.055.700.0823.014.00.998083.400.5210.203
15056.70.7600.021.800.0786.012.00.996003.550.639.953
15497.40.3600.301.800.07417.024.00.994193.240.7011.408
+
+
+ +
+ +
+
+ +
+
+
+
+
+

Part 2: Using Machine Learning to Predict the Quality of Wines

+
+
+
+
+
+
+
+

Data Preparation:

First, we'll apply some transforms to convert our regression problem into a classification problem. Then, we'll use our data to create feature-set and target labels:

+
+
+
+
+
+
In [18]:
+
+
+
#Defining the splits for categories. 1-4 will be poor quality, 5-6 will be average, 7-10 will be great
+bins = [1,4,6,10]
+
+#0 for low quality, 1 for average, 2 for great quality
+quality_labels=[0,1,2]
+data['quality_categorical'] = pd.cut(data['quality'], bins=bins, labels=quality_labels, include_lowest=True)
+
+#Displays the first 2 columns
+display(data.head(n=2))
+
+# Split the data into features and target label
+quality_raw = data['quality_categorical']
+features_raw = data.drop(['quality', 'quality_categorical'], axis = 1)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholqualityquality_categorical
07.40.700.01.90.07611.034.00.99783.510.569.451
17.80.880.02.60.09825.067.00.99683.200.689.851
+
+
+ +
+ +
+
+ +
+
+
+
+
+

Next, shuffle and split our data-set into training and testing subsets:

+
+
+
+
+
+
In [19]:
+
+
+
# Import train_test_split
+from sklearn.model_selection import train_test_split
+
+# Split the 'features' and 'income' data into training and testing sets
+X_train, X_test, y_train, y_test = train_test_split(features_raw, 
+                                                    quality_raw, 
+                                                    test_size = 0.2, 
+                                                    random_state = 0)
+
+# Show the results of the split
+print("Training set has {} samples.".format(X_train.shape[0]))
+print("Testing set has {} samples.".format(X_test.shape[0]))
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
Training set has 1279 samples.
+Testing set has 320 samples.
+
+
+
+ +
+
+ +
+
+
+
+
+

scikit-learn is a handy data science and machine learning library that lets you use ML algorithms in easy to use APIs.

+
+
+
+
+
+
+
+

Supervised Learning Models

The following are some of the supervised learning models that are currently available in scikit-learn that you may choose from:

+
    +
  • Gaussian Naive Bayes (GaussianNB)
  • +
  • Decision Trees
  • +
  • Ensemble Methods (Bagging, AdaBoost, Random Forest, Gradient Boosting)
  • +
  • K-Nearest Neighbors (KNeighbors)
  • +
  • Stochastic Gradient Descent Classifier (SGDC)
  • +
  • Support Vector Machines (SVM)
  • +
  • Logistic Regression
  • +
+ +
+
+
+
+
+
+
+

Implementation - Creating a Training and Predicting Pipeline

To properly evaluate the performance of each model you've chosen, it's important that you create a training and predicting pipeline that allows you to quickly and effectively train models using various sizes of training data and perform predictions on the testing data. Your implementation here will be used in the following section. +In the code block below, you will need to implement the following:

+
    +
  • Import fbeta_score and accuracy_score from sklearn.metrics.
  • +
  • Fit the learner to the sampled training data and record the training time.
  • +
  • Perform predictions on the test data X_test, and also on the first 300 training points X_train[:300].
      +
    • Record the total prediction time.
    • +
    +
  • +
  • Calculate the accuracy score for both the training subset and testing set.
  • +
  • Calculate the F-score for both the training subset and testing set.
      +
    • Make sure that you set the beta parameter!
    • +
    +
  • +
+ +
+
+
+
+
+
+
+

Next, we will write a function that will accept a ML algorithm of our choice, and use our data to train it

+
+
+
+
+
+
In [20]:
+
+
+
# Import two classification metrics from sklearn - fbeta_score and accuracy_score
+from sklearn.metrics import fbeta_score
+from sklearn.metrics import accuracy_score
+
+def train_predict_evaluate(learner, sample_size, X_train, y_train, X_test, y_test): 
+    '''
+    inputs:
+       - learner: the learning algorithm to be trained and predicted on
+       - sample_size: the size of samples (number) to be drawn from training set
+       - X_train: features training set
+       - y_train: quality training set
+       - X_test: features testing set
+       - y_test: quality testing set
+    '''
+    
+    results = {}
+    
+    """
+    Fit/train the learner to the training data using slicing with 'sample_size' 
+    using .fit(training_features[:], training_labels[:])
+    """
+    start = time() # Get start time of training
+    learner = learner.fit(X_train[:sample_size], y_train[:sample_size]) #Train the model
+    end = time() # Get end time of training
+    
+    # Calculate the training time
+    results['train_time'] = end - start
+    
+    """
+    Get the predictions on the first 300 training samples(X_train), 
+    and also predictions on the test set(X_test) using .predict()
+    """
+    start = time() # Get start time
+    predictions_train = learner.predict(X_train[:300])
+    predictions_test = learner.predict(X_test)
+    
+    end = time() # Get end time
+    
+    # Calculate the total prediction time
+    results['pred_time'] = end - start
+            
+    # Compute accuracy on the first 300 training samples which is y_train[:300]
+    results['acc_train'] = accuracy_score(y_train[:300], predictions_train)
+        
+    # Compute accuracy on test set using accuracy_score()
+    results['acc_test'] = accuracy_score(y_test, predictions_test)
+    
+    # Compute F1-score on the the first 300 training samples using fbeta_score()
+    results['f_train'] = fbeta_score(y_train[:300], predictions_train, beta=0.5, average='micro')
+        
+    # Compute F1-score on the test set which is y_test
+    results['f_test'] = fbeta_score(y_test, predictions_test, beta=0.5, average='micro')
+       
+    # Success
+    print("{} trained on {} samples.".format(learner.__class__.__name__, sample_size))
+        
+    # Return the results
+    return results
+
+ +
+
+
+ +
+
+
+
+
+

Implementation: Initial Model Evaluation

In the code cell, you will need to implement the following:

+
    +
  • Import the three supervised learning models you've discussed in the previous section.
  • +
  • Initialize the three models and store them in 'clf_A', 'clf_B', and 'clf_C'.
      +
    • Use a 'random_state' for each model you use, if provided.
    • +
    • Note: Use the default settings for each model — you will tune one specific model in a later section.
    • +
    +
  • +
  • Calculate the number of records equal to 1%, 10%, and 100% of the training data.
      +
    • Store those values in 'samples_1', 'samples_10', and 'samples_100' respectively.
    • +
    +
  • +
+

Note: Depending on which algorithms you chose, the following implementation may take some time to run!

+

Further reading: https://stackoverflow.com/questions/31421413/how-to-compute-precision-recall-accuracy-and-f1-score-for-the-multiclass-case

+ +
+
+
+
+
+
In [21]:
+
+
+
# Import any three supervised learning classification models from sklearn
+from sklearn.naive_bayes import GaussianNB
+from sklearn.tree import DecisionTreeClassifier
+from sklearn.ensemble import RandomForestClassifier
+#from sklearn.linear_model import LogisticRegression
+
+# Initialize the three models
+clf_A = GaussianNB()
+clf_B = DecisionTreeClassifier(max_depth=None, random_state=None)
+clf_C = RandomForestClassifier(max_depth=None, random_state=None)
+
+
+# Calculate the number of samples for 1%, 10%, and 100% of the training data
+# HINT: samples_100 is the entire training set i.e. len(y_train)
+# HINT: samples_10 is 10% of samples_100
+# HINT: samples_1 is 1% of samples_100
+
+samples_100 = len(y_train)
+samples_10 = int(len(y_train)*10/100)
+samples_1 = int(len(y_train)*1/100)
+
+# Collect results on the learners
+results = {}
+for clf in [clf_A, clf_B, clf_C]:
+    clf_name = clf.__class__.__name__
+    results[clf_name] = {}
+    for i, samples in enumerate([samples_1, samples_10, samples_100]):
+        results[clf_name][i] = \
+        train_predict_evaluate(clf, samples, X_train, y_train, X_test, y_test)
+
+#print(results)
+
+# Run metrics visualization for the three supervised learning models chosen
+vs.visualize_classification_performance(results)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
GaussianNB trained on 12 samples.
+GaussianNB trained on 127 samples.
+GaussianNB trained on 1279 samples.
+DecisionTreeClassifier trained on 12 samples.
+DecisionTreeClassifier trained on 127 samples.
+DecisionTreeClassifier trained on 1279 samples.
+RandomForestClassifier trained on 12 samples.
+RandomForestClassifier trained on 127 samples.
+RandomForestClassifier trained on 1279 samples.
+
+
+
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+
+

Question: Why does Gaussian Naive Bayes perform poorly compared to the other methods?

+
+
+
+
+
+
+
+

Answer:

+
+
+
+
+
+
+
+
+

Feature Importance

An important task when performing supervised learning on a dataset like the census data we study here is determining which features provide the most predictive power. By focusing on the relationship between only a few crucial features and the target label we simplify our understanding of the phenomenon, which is most always a useful thing to do. In the case of this project, that means we wish to identify a small number of features that most strongly predict the quality of wines.

+

Choose a scikit-learn classifier (e.g., adaboost, random forests) that has a feature_importance_ attribute, which is a function that ranks the importance of features according to the chosen classifier. In the next python cell fit this classifier to training set and use this attribute to determine the top 5 most important features for the wines dataset.

+ +
+
+
+
+
+
+
+

Implementation - Extracting Feature Importance

Choose a scikit-learn supervised learning algorithm that has a feature_importance_ attribute availble for it. This attribute is a function that ranks the importance of each feature when making predictions based on the chosen algorithm.

+

In the code cell below, you will need to implement the following:

+
    +
  • Import a supervised learning model from sklearn if it is different from the three used earlier.
  • +
  • Train the supervised model on the entire training set.
  • +
  • Extract the feature importances using '.feature_importances_'.
  • +
+ +
+
+
+
+
+
In [22]:
+
+
+
# Import a supervised learning model that has 'feature_importances_'
+model = RandomForestClassifier(max_depth=None, random_state=None)
+
+# Train the supervised model on the training set using .fit(X_train, y_train)
+model = model.fit(X_train, y_train)
+
+# Extract the feature importances using .feature_importances_ 
+importances = model.feature_importances_
+
+print(X_train.columns)
+print(importances)
+
+# Plot
+vs.feature_plot(importances, X_train, y_train)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
Index(['fixed acidity', 'volatile acidity', 'citric acid', 'residual sugar',
+       'chlorides', 'free sulfur dioxide', 'total sulfur dioxide', 'density',
+       'pH', 'sulphates', 'alcohol'],
+      dtype='object')
+[ 0.07678729  0.14383287  0.07966764  0.08609296  0.06702213  0.07153301
+  0.07083003  0.08641077  0.07436436  0.09575951  0.14769944]
+
+
+
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+
+

Hyperparameter tuning using GridSearchCV:

+
+
+
+
+
+
In [23]:
+
+
+
# TODO: Import 'GridSearchCV', 'make_scorer', and any other necessary libraries
+from sklearn.model_selection import GridSearchCV
+from sklearn.metrics import make_scorer
+
+# TODO: Initialize the classifier
+clf = RandomForestClassifier(max_depth=None, random_state=None)
+
+# Create the parameters or base_estimators list you wish to tune, using a dictionary if needed.
+# Example: parameters = {'parameter_1': [value1, value2], 'parameter_2': [value1, value2]}
+
+"""
+n_estimators: Number of trees in the forest
+max_features: The number of features to consider when looking for the best split
+max_depth: The maximum depth of the tree
+"""
+parameters = {'n_estimators': [10, 20, 30], 'max_features':[3,4,5, None], 'max_depth': [5,6,7, None]}
+
+# TODO: Make an fbeta_score scoring object using make_scorer()
+scorer = make_scorer(fbeta_score, beta=0.5, average="micro")
+
+# TODO: Perform grid search on the claszsifier using 'scorer' as the scoring method using GridSearchCV()
+grid_obj = GridSearchCV(clf, parameters, scoring=scorer)
+
+# TODO: Fit the grid search object to the training data and find the optimal parameters using fit()
+grid_fit = grid_obj.fit(X_train, y_train)
+
+# Get the estimator
+best_clf = grid_fit.best_estimator_
+
+# Make predictions using the unoptimized and model
+predictions = (clf.fit(X_train, y_train)).predict(X_test)
+best_predictions = best_clf.predict(X_test)
+
+# Report the before-and-afterscores
+print("Unoptimized model\n------")
+print("Accuracy score on testing data: {:.4f}".format(accuracy_score(y_test, predictions)))
+print("F-score on testing data: {:.4f}".format(fbeta_score(y_test, predictions, beta = 0.5, average="micro")))
+print("\nOptimized Model\n------")
+print(best_clf)
+print("\nFinal accuracy score on the testing data: {:.4f}".format(accuracy_score(y_test, best_predictions)))
+print("Final F-score on the testing data: {:.4f}".format(fbeta_score(y_test, best_predictions, beta = 0.5,  average="micro")))
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
Unoptimized model
+------
+Accuracy score on testing data: 0.8906
+F-score on testing data: 0.8906
+
+Optimized Model
+------
+RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+            max_depth=None, max_features=3, max_leaf_nodes=None,
+            min_impurity_decrease=0.0, min_impurity_split=None,
+            min_samples_leaf=1, min_samples_split=2,
+            min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=1,
+            oob_score=False, random_state=None, verbose=0,
+            warm_start=False)
+
+Final accuracy score on the testing data: 0.8969
+Final F-score on the testing data: 0.8969
+
+
+
+ +
+
+ +
+
+
+
+
+

Finally, you can test out your model by giving it a bunch of inputs:

+
+
+
+
+
+
In [25]:
+
+
+
"""Give inputs in this order: fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free sulfur dioxide,
+total sulfur dioxide, density, pH, sulphates, alcohol
+
+"""
+wine_data = [[8, 0.2, 0.16, 1.8, 0.065, 3, 16, 0.9962, 3.42, 0.92, 9.5],
+            [8, 0, 0.16, 1.8, 0.065, 3, 16, 0.9962, 3.42, 0.92, 1 ],
+            [7.4, 2, 0.00, 1.9, 0.076, 11.0, 34.0, 0.9978, 3.51, 0.56, 0.6]]
+               
+# Show predictions
+for i, quality in enumerate(best_clf.predict(wine_data)):
+    print("Predicted quality for Wine {} is: {}".format(i+1, quality))
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
Predicted quality for Wine 1 is: 1
+Predicted quality for Wine 2 is: 2
+Predicted quality for Wine 3 is: 1
+
+
+
+ +
+
+ +
+
+
+
+
+

Question: What conclusions can you draw based on the above observations? Would you say that the model is more good at predicting average quality wines? Why?

+
+
+
+
+
+
+
+

TODOS:

    +
  1. Try solving this exercise again as a regression problem. Some of the common algorithms you can try from sklearn are DecisionTreeRegressor, RandomForestRegressor, and using AdaBoostRegressor with DecisionTreeRegressor. Some of the performance metrics that you might need to use in place of Accuracy and f1score are Mean Squared Error and R2Score

    +
  2. +
  3. Try using the White Wines data-set in place of the Red Wines

    +
  4. +
+ +
+
+
+
+
+ + + + + + diff --git a/sagemaker-exercises/game-of-wines.ipynb b/sagemaker-exercises/game-of-wines.ipynb new file mode 100644 index 0000000..3a46bf5 --- /dev/null +++ b/sagemaker-exercises/game-of-wines.ipynb @@ -0,0 +1,2356 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Part 1: Using Data Science to Understand What Makes Wine Taste Good" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Section 1: Data Exploration\n", + "\n", + "In this section, we'll do some exploratory analysis to understand the nature of our data and the underlying distribution." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### First, import some necessary libraries. \n", + "\n", + "### Click the below cell block and run it." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:155: UserWarning: A NumPy version >=1.18.5 and <1.25.0 is required for this version of SciPy (detected version 1.25.1\n", + " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n" + ] + } + ], + "source": [ + "# Import libraries necessary for this project\n", + "import numpy as np\n", + "import pandas as pd\n", + "from time import time\n", + "from IPython.display import display # Allows the use of display() for displaying DataFrames\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Import supplementary visualization code visuals.py from project root folder\n", + "import visuals as vs\n", + "\n", + "# Pretty display for notebooks\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Usage of these libraries:\n", + "* [numpy](http://www.numpy.org/) is a package in python that is used for scientific computing. It supports higher-order mathematical functions, higher dimensional arrays, matrices and other data structures.\n", + "* [pandas](https://pandas.pydata.org/) is a very popular library that is used for a lot of data analysis and statistics related problems.\n", + "* [time](https://docs.python.org/3.7/library/time.html) - standard module in python that allows for time related functions\n", + "* [display](http://ipython.readthedocs.io/en/stable/api/generated/IPython.display.html?highlight=display) is a module in the IPython toolkit that helps you display data structures in a nice, readable format.\n", + "* [matplotlib](https://matplotlib.org/) is a very popular visualization library that lets you create a wide array of figures, charts and graphs in the IPython Notebook\n", + "* [seaborn](https://seaborn.pydata.org/index.html) is another visualization tool that uses matplotlib underneath, and provides you with easy-to-use APIs for visualization. It also makes your graphs more prettier!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Next, we'll load the dataset for red wines, and display the first 5 columns. Run the below cell block" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
07.40.700.001.90.07611.034.00.99783.510.569.45
17.80.880.002.60.09825.067.00.99683.200.689.85
27.80.760.042.30.09215.054.00.99703.260.659.85
311.20.280.561.90.07517.060.00.99803.160.589.86
47.40.700.001.90.07611.034.00.99783.510.569.45
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "0 7.4 0.70 0.00 1.9 0.076 \n", + "1 7.8 0.88 0.00 2.6 0.098 \n", + "2 7.8 0.76 0.04 2.3 0.092 \n", + "3 11.2 0.28 0.56 1.9 0.075 \n", + "4 7.4 0.70 0.00 1.9 0.076 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "0 11.0 34.0 0.9978 3.51 0.56 \n", + "1 25.0 67.0 0.9968 3.20 0.68 \n", + "2 15.0 54.0 0.9970 3.26 0.65 \n", + "3 17.0 60.0 0.9980 3.16 0.58 \n", + "4 11.0 34.0 0.9978 3.51 0.56 \n", + "\n", + " alcohol quality \n", + "0 9.4 5 \n", + "1 9.8 5 \n", + "2 9.8 5 \n", + "3 9.8 6 \n", + "4 9.4 5 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# TODO: Load the Red Wines dataset\n", + "data = pd.read_csv(\"data/winequality-red.csv\", sep=';')\n", + "# TODO: Display the first five records\n", + "display(data.head(n=5))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Now, let's do some basic preliminary analysis of our data:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### We'll begin by first seeing if our data has any missing information" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "fixed acidity False\n", + "volatile acidity False\n", + "citric acid False\n", + "residual sugar False\n", + "chlorides False\n", + "free sulfur dioxide False\n", + "total sulfur dioxide False\n", + "density False\n", + "pH False\n", + "sulphates False\n", + "alcohol False\n", + "quality False\n", + "dtype: bool" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# TODO: Find if the data has any null information\n", + "data.isnull().any()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Get additional information about the features in the data-set and their data types:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 1599 entries, 0 to 1598\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 fixed acidity 1599 non-null float64\n", + " 1 volatile acidity 1599 non-null float64\n", + " 2 citric acid 1599 non-null float64\n", + " 3 residual sugar 1599 non-null float64\n", + " 4 chlorides 1599 non-null float64\n", + " 5 free sulfur dioxide 1599 non-null float64\n", + " 6 total sulfur dioxide 1599 non-null float64\n", + " 7 density 1599 non-null float64\n", + " 8 pH 1599 non-null float64\n", + " 9 sulphates 1599 non-null float64\n", + " 10 alcohol 1599 non-null float64\n", + " 11 quality 1599 non-null int64 \n", + "dtypes: float64(11), int64(1)\n", + "memory usage: 150.0 KB\n" + ] + } + ], + "source": [ + "#TODO: Get additional information about the data\n", + "data.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### The last column *quality* is a metric of how good a specific wine was rated to be. For our purposes, let's consider all wines with ratings 7 and above to be of very good quality, wines with 5 and 6 to be of average quality, and wines less than 5 to be of insipid quality." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total number of wine data: 1599\n", + "Wines with rating 7 and above: 217\n", + "Wines with rating less than 5: 63\n", + "Wines with rating 5 and 6: 1319\n", + "Percentage of wines with quality 7 and above: 13.57%\n" + ] + } + ], + "source": [ + "# Total number of wines\n", + "n_wines = data.shape[0]\n", + "\n", + "# Number of wines with quality rating above 6\n", + "quality_above_6 = data.loc[(data['quality'] > 6)]\n", + "n_above_6 = quality_above_6.shape[0]\n", + "\n", + "# TODO: Number of wines with quality rating below 5\n", + "quality_below_5 = data.loc[(data['quality'] < 5)]\n", + "n_below_5 = quality_below_5.shape[0]\n", + "\n", + "# TODO: Number of wines with quality rating between 5 to 6\n", + "quality_between_5 = data.loc[(data['quality'] <= 6) & (data['quality'] >= 5)]\n", + "n_between_5 = quality_between_5.shape[0]\n", + "\n", + "# Percentage of wines with quality rating above 6\n", + "greater_percent = n_above_6 / n_wines * 100\n", + "\n", + "# Print the results\n", + "\n", + "print(\"Total number of wine data: {}\".format(n_wines))\n", + "print(\"Wines with rating 7 and above: {}\".format(n_above_6))\n", + "print(\"Wines with rating less than 5: {}\".format(n_below_5))\n", + "print(\"Wines with rating 5 and 6: {}\".format(n_between_5))\n", + "print(\"Percentage of wines with quality 7 and above: {:.2f}%\".format(greater_percent))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run the following cell block to see the distributions on a graph:" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "ename": "ValueError", + "evalue": "The number of FixedLocator locations (5), usually from a call to set_ticks, does not match the number of ticklabels (6).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[14], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# TODO: Visualize skewed continuous features of original data\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[43mvs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdistribution\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mquality\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/ML-supervised-learning/game-of-wines/visuals.py:41\u001b[0m, in \u001b[0;36mdistribution\u001b[0;34m(data, feature_label, transformed)\u001b[0m\n\u001b[1;32m 39\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_ylim((\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1500\u001b[39m))\n\u001b[1;32m 40\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_yticks([\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m200\u001b[39m, \u001b[38;5;241m400\u001b[39m, \u001b[38;5;241m600\u001b[39m, \u001b[38;5;241m800\u001b[39m])\n\u001b[0;32m---> 41\u001b[0m \u001b[43max\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_yticklabels\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m200\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m400\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m600\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m800\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m>1000\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 43\u001b[0m \u001b[38;5;66;03m# Plot aesthetics\u001b[39;00m\n\u001b[1;32m 44\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m transformed:\n", + "File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/matplotlib/axes/_base.py:75\u001b[0m, in \u001b[0;36m_axis_method_wrapper.__set_name__..wrapper\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 74\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m---> 75\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mget_method\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/matplotlib/axis.py:1798\u001b[0m, in \u001b[0;36mAxis._set_ticklabels\u001b[0;34m(self, labels, fontdict, minor, **kwargs)\u001b[0m\n\u001b[1;32m 1796\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m fontdict \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1797\u001b[0m kwargs\u001b[38;5;241m.\u001b[39mupdate(fontdict)\n\u001b[0;32m-> 1798\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_ticklabels\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlabels\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mminor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mminor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/matplotlib/axis.py:1720\u001b[0m, in \u001b[0;36mAxis.set_ticklabels\u001b[0;34m(self, ticklabels, minor, **kwargs)\u001b[0m\n\u001b[1;32m 1716\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(locator, mticker\u001b[38;5;241m.\u001b[39mFixedLocator):\n\u001b[1;32m 1717\u001b[0m \u001b[38;5;66;03m# Passing [] as a list of ticklabels is often used as a way to\u001b[39;00m\n\u001b[1;32m 1718\u001b[0m \u001b[38;5;66;03m# remove all tick labels, so only error for > 0 ticklabels\u001b[39;00m\n\u001b[1;32m 1719\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(locator\u001b[38;5;241m.\u001b[39mlocs) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28mlen\u001b[39m(ticklabels) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(ticklabels) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m-> 1720\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 1721\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThe number of FixedLocator locations\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1722\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(locator\u001b[38;5;241m.\u001b[39mlocs)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m), usually from a call to\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1723\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m set_ticks, does not match\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1724\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m the number of ticklabels (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(ticklabels)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 1725\u001b[0m tickd \u001b[38;5;241m=\u001b[39m {loc: lab \u001b[38;5;28;01mfor\u001b[39;00m loc, lab \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(locator\u001b[38;5;241m.\u001b[39mlocs, ticklabels)}\n\u001b[1;32m 1726\u001b[0m func \u001b[38;5;241m=\u001b[39m functools\u001b[38;5;241m.\u001b[39mpartial(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_format_with_dict, tickd)\n", + "\u001b[0;31mValueError\u001b[0m: The number of FixedLocator locations (5), usually from a call to set_ticks, does not match the number of ticklabels (6)." + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# TODO: Visualize skewed continuous features of original data\n", + "vs.distribution(data, \"quality\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Get useful statistics, such as mean, median and standard deviation of the features:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
count1599.01599.01599.01599.01599.01599.01599.01599.01599.01599.01599.01599.0
mean8.01.00.03.00.016.046.01.03.01.010.06.0
std2.00.00.01.00.010.033.00.00.00.01.01.0
min5.00.00.01.00.01.06.01.03.00.08.03.0
25%7.00.00.02.00.07.022.01.03.01.010.05.0
50%8.01.00.02.00.014.038.01.03.01.010.06.0
75%9.01.00.03.00.021.062.01.03.01.011.06.0
max16.02.01.016.01.072.0289.01.04.02.015.08.0
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar \\\n", + "count 1599.0 1599.0 1599.0 1599.0 \n", + "mean 8.0 1.0 0.0 3.0 \n", + "std 2.0 0.0 0.0 1.0 \n", + "min 5.0 0.0 0.0 1.0 \n", + "25% 7.0 0.0 0.0 2.0 \n", + "50% 8.0 1.0 0.0 2.0 \n", + "75% 9.0 1.0 0.0 3.0 \n", + "max 16.0 2.0 1.0 16.0 \n", + "\n", + " chlorides free sulfur dioxide total sulfur dioxide density pH \\\n", + "count 1599.0 1599.0 1599.0 1599.0 1599.0 \n", + "mean 0.0 16.0 46.0 1.0 3.0 \n", + "std 0.0 10.0 33.0 0.0 0.0 \n", + "min 0.0 1.0 6.0 1.0 3.0 \n", + "25% 0.0 7.0 22.0 1.0 3.0 \n", + "50% 0.0 14.0 38.0 1.0 3.0 \n", + "75% 0.0 21.0 62.0 1.0 3.0 \n", + "max 1.0 72.0 289.0 1.0 4.0 \n", + "\n", + " sulphates alcohol quality \n", + "count 1599.0 1599.0 1599.0 \n", + "mean 1.0 10.0 6.0 \n", + "std 0.0 1.0 1.0 \n", + "min 0.0 8.0 3.0 \n", + "25% 1.0 10.0 5.0 \n", + "50% 1.0 10.0 6.0 \n", + "75% 1.0 11.0 6.0 \n", + "max 2.0 15.0 8.0 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#TODO: Get some additional statistics, like mean, median and standard deviation\n", + "display(np.round(data.describe()))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As we can see, most fines fall under **average quality (between 5 and 6)**. Wines which were rated high are in the lower hundreds, whereas there are very few wines that aren't tasty enough (low ratings).\n", + "\n", + "Next, since our aim is to predict the quality of wines, we’ll now extract the last column and store it separately." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Section 2: Exploring Relationships between features" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAADHEAAAxdCAYAAABfqnEuAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9aWxsbXoX/P7XWKvm0fPs7T0Pz9DdT08hnW4ypxsi4MDLdE7CiZCOxAfCByRApIkUIYTyAQQS6BUgHQIJhFcHRDiclzQZ3oR0eu5+pj1PnodyzVWr1rzOh1Uuu7ztvT2UXVX2//fl2d62y7efXWut+77u+7ouwfd9H0RERERERERERERERERERERERERERERERHSmxF4PgIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiI6DJgEgcREREREREREREREREREREREREREREREdE5YBIHERERERERERERERERERERERERERERERHROWASBxERERERERERERERERERERERERERERER0TlgEgcREREREREREREREREREREREREREREREdE5YBIHERERERERERERERERERERERERERERERHROWASBxERERERERERERERERERERERERERERER0TmQez2AQfL9738fvu9DUZReD4WIesSyLACAqqo9HgkR9QrvA0QE8F5ARLwPEBHvA0QU4L2AiHgfICLeB4gI4L2AiHgfICLeB4goYNs2BEHAO++889qvYxLHMfi+D9/3ez0MIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiLqI0fNNbgQSRy/8iu/gt/93d/F6uoqfuu3fgvXrl0DEPxP+Of//J/jv/23/wZFUZBOp/Frv/ZrJ/45Ox047t6925VxE9Hg+e53vwtVVXkfILrEeB8gIoD3AiLifYCIeB8gogDvBUTE+wAR8T5ARADvBUTE+wAR8T5ARIEPP/zwSF93IZI4fuInfgK/8Au/gL/0l/5Sx9//23/7b/H48WP81m/9FlRVxdbWVo9GSEREREREREREREREREREREREREREREREl92FSOL41Kc+deDf/+t//a/xa7/2a1BVFQAwPDx86p/l+z50XT/16xARERERERERERERERERERERERERERER0eVyIZI4DlKv11EsFvG1r30Nv/3bvw0A+Lmf+zn89E//9Kle17ZtPHjwoBtDJCI6N8Wqge1yE+GQjImhGERR6PWQiIioizYKDVQbFhJRFaPZaK+HQzRwbMfFylYdjuthLBdDLKz0ekhEp1aqGciXmgipEiaH45C4BiCiPuF5PlbzdTRNB9mkhmwy3OshEdEx+b6Pte0GGk0bqXgIw+lIr4dERDRQXNfDSr4O03IxnI4gFQ/1ekhEHUzbxepWHZ7nY3woiojGWBkRnT3DcrC6VYcPYGIohnDowh5pIyKiAed6Pla2ajAtF0PpMNJxrddDoiNqmg5W83UAwORwDJrK+Qb11oV9B9q2Ddu2YRgGfvM3fxNra2v4C3/hL2BhYQHXrl078esqioKFhYUujpSIBskgJnHVmzaerpQBHyjXTHi+j5nRRK+HRUREXbJV0rG0UQMQ3OdlSUQuxYNwRMfxdLmCmm4BAKoNC29dHYIsiT0eFdHJNU0HT5bLgB987Hk+5saTPR0TEdGOla0aNgpBp+NyzURIkRCLqD0eFREdx3qhgdWtYLOzXDOhyhIPIBMRHcPiRg3b5SYAoFI3cedKjgdVqa88XiqhaTgAgKpu4e2rQywQR0Rn7vFSCYbpAgBqDQtvXxuCIPDeQ0RE/Wdpo4p8iWu6QeP7Ph4tFmHZHgCg0bTx1tWhHo+KLrsLe+dIp9OIRCL403/6TwMAxsfH8e677+Kjjz46VRKHIAiIRFhViogGR9Nw2oe3gOBAFxERXRz77+u8zxMdn27a7T+7rg/LdpnEQQPNMDvXALrBZwMR9Y/981XddJjEQTRgmsar61AmcRARHd3e+ZDvB5XHeeCH+sne96jjeHBcD6oo9XBERHTR+b7fTuAAANvx4Lg+FJlJHERE1H/27rv5frAvxzVd/3M9v53AAQCm5cLzfCasU09d6FMpX/7yl/EHf/AHAIBKpYIPP/wQ169f7/GoiIjOVzKmdhxCzCTYwo2I6CJJxzXsFCISBCDNgzNEx7Z3fhTRZLZNpYEXi6hQ5N01QDbJNQAR9Y9MYrdrnCQJSMY4fyUaNJmEBrTWoaIoIBljIhYR0XHsjUMosohYmPdR6i9736OxiNIRYyAiOguCICCd2I0PJKIq7z1ERNS39u67KbLIIkUDQpZEJPbEMVPxEBM4qOcuxMmUX/7lX8bv/M7vYHt7Gz//8z+PSCSCr33ta/jFX/xF/N2/+3fxG7/xGwCAv/7X/zpu377d49ESEZ0vVZFw+0oWlZqJkCrxcAQR0QWTiKq4NZdFvWkjHlEQ0ZReD4lo4MyNJ5GMheC4HrIJjcEaGniKLOL2fBZlrgGIqA8NpcMIqRIM00EipiKksKIv0aBJJzTcms1ANxzEoyorDRIRHdNYLopwSIZlu0jFQzykSn3nykQS6XgIngdkkhoEgbEyIjp7C5MpFKsGPI9FaYiIqL+NZoM1nWlxTTdork2lUagYEAQWwqb+cCEi61/96lfx1a9+9ZW/z2Qy+Jf/8l/2YERERP0lpEgYzkR6PQwiIjoj0bCCaJjJG0SnwSANXTQq1wBE1McSURWJKKuTEQ2yWERllUEiolNIsZsu9TFBEJBNht/8hUREXcR7DxERDRIWUBtMoihgKM35BvUPpoDRsfm+j1LNgOf5vR4KEV0Snuej0bRhO+4rn3NcD42mDZf3JCI6Y4blQDfsXg+j59zWfddxvV4PhbrsTe/xnX97l//2RAPBdlw0mjZMy+V8mWhA6YYNw3KO9T2+H6yfLfvV9TMRDYbXxcGOwzC5hiUiIjoq1/VQqZuo1s0Lu34+bD/NsoO4ge9fzN+biLrLOcI+wU5ckmeKiKjf7Z8fWbYL3eC8iOiia5oODPN4ey/UfbbDM5/ABenEQefn6x+s4X//Lx+iUDGQjKn4v//0Lfz4p2d6PSwiusBcz8fDl0U0mjZEUcDVqVQ7m1k3bDx8WYLjeggpEm7OZaAqUo9HTEQX0WZRx+JGFfCD9vELk6leD6knLNvFgxdFmLYLWRJxcy6DcIhLiotgo9DA0kYNADCUDmNuPNnxedN2cf95AbbjQZFF3JzNQOO/PVHfqjYsPF4qoWHY2C43MZGLIRpWcHMuA1liPQ+iQfBspYxCxQAATI/GMZqNvvF7PM/Ho8USaroFQQAWJlNIs9MU0UBxXQ8PXhahGw5EUcC16fSJutasbdexslkHcPD8noiIiHaZtovvP9rE89UqREHAlckk3r42DEW+OOvn/ftpt+YzUGQJpaqBpytl+D4Qj6i4PpOGKAq9Hi4R9amm6eDByyIcx4OqiLg1l31lb75SN/FkuQzP8xENK7gxm4HE+woR9aH986ORbATLmzX4PpCIqbg+nYYg8P5FdNEsbVSxUdABAONDUUwOx3s8osup0bTxcLEI1/WhhSTcnM1eqDX4cVzO35pO5I8+WMM/+rffbm8gV+oW/tlv/gD/n9970uOREdFFVqmb7WoenudjfbvR/txWqdmuBG/aLrbLzV4Nk4guuNV8HZ7nwXU9FCsGmpc0K3+73ITZqursuB42i3qPR0TdsrJVb/85X9r9d96xVdRhOx5s14PteNgq8d+eqJ+tb9fheT4KlSaahoN600LTdNrreSLqb8a+63U1X3/NV++q6RZqugXX9eD7wNqe9TMRDYZy3YRuOHviYEe7/vdby+9e//lSk915iIiIXmOrqGOr2IRte3BcD1tFHYXKxdpv2izqcNwgtmfaLvKt/bS17QZ2Ck3XdAvVhtXDURJRv9sq6nCcYG/esr32vWSv9UIDnue3O3uXa4xHElF/2j8/erhYbM+LqnULNZ3dTYkuGtf1sFHQg9ir72Ftu8HOYT2yXmjAdYP/94bpXrg1+HGwdCodSbFq4J/9x+/D94Gf+MwM/tpXbuO//F/P8Bu//Qj/7//vfVyfyeD2fLbXwySiC0gUfHzwNI9CxYAii/jCO5Ptz+2v2sGqwkR0VgrlJn7wJA/P9zE9ksDb14Z6PaSekPbdZ2WJ1UcuClkSYLUCFILw6jPW9Tx8+/4G6k0b0bCCn/n8XC+GSURHpBsOvv7BKoo1E4osYiwbAcD7NtGgkCQBgoD2puFR17qSJOL+8wI2SzpkWcTn7o6f4SiJ6CwIAtpxsJAi4gvvTp3odSRRaG9AHjS/JyIiol2u5+HBywIKFRPhkIRP3hyGJF6s/SbLdvGNj9fRNBwkIiomhmMAXo0TyJe08ikRHc3+e8RB64yGbuPrH6zCtD1kkxquTbMrIBH1J8ty8Y2P1tE0g/nRnflcx+e5n0J08QiCgJWtGp6ulAEAN2Yy7ETYI8q+fa/L2oUDYCcOOqJf/x8P0TAcXJ1K4f/1Z99CRFPwl37iBr70ySl4PvDPfvMH7Wr4RETdVK5bsGwPkihAFARslnYrCY7nokjFQ1BkEblUGEPpcA9HSkQX2XZZhyQKkAQBtYZ5aTtxDKfDyKXCUGQR6UQIY9lor4dEXbIwmUI4JCOkSJifSL5yWHS7YsD1/PZhsDw7cRD1tXxZByAgFlYgCgJM28NIJoJskvNlokGgyMHzWFVEhEMyrkymjvR9lbqJpuW018/50uWtXEQ0qMo1C5bttg5DCSfufrgwlYIWkhBSJFyZTL2SkE9ERES7tisGNFWGpkrwAcAHcimt18PqqkLFgO8FB64dz0ehHMwxZsYSiEUUKLKIyZEYYmGlxyMlon42mo0inQj25rNJDcPpyCtfsxOXlEQBlu2hVGOHHyLqT9vlJnx/d34U1iREw8G8aHo0jojGeRHRReN4Poo1A5IoQhJFbJeb8Dyeee6FieEYkjEViixiOBNBJnGx1uDHwU4c9EaFShO/8+1lAMD/80/d6cim/+s/exffebCJ1Xwdv/3NRfz051iRl4i6y/eBRFRFIqoC6KxAKkkirk2nezU0IrpEZFk6MBh92QiCgPkJVk26iGIRFXcXcod+XhSEjoWzILAiBVE/E4UgyXnHtZkUZsYSPRwRER1XNhk+duKV7/mIR1TEI631s8znNdEgSkRDSERDAE7edTYeUXFv4XJ2kCQiIjouURA65t+judiFi30JALLJV2N7mirj1ly2R6MiokEjiQKuTr1+b16WOuOSRET9ShCFjvlRSJVwe57zIqKLTlNlaJng2PwFW/YNFFkScX0m0+th9AWWX6I3+u9ffwnH9XBrLvPKZCUaVvAXf/w6AOD/+N0ncNmNg4i6bGY0jvGhoNK7qkp49/pwj0dERJfRJ2+OQGq1TL0+k0YyFurxiIjO1625DJKx4EBoPKri9vzhCR9E1HvvXB9CSJUAAKPZCObHmYBHdBlMjsQxNRIDAKgy189Eg2h2LI7RVsfDkCrhnetMxCAiIjprlyHudXchh1gkqCadjodwnQXSiOiMvH1tCGo7LhnFzGi8xyMiIjrYvYUcImHOj4guE1UW8dbVoSDLXQDevTEMUeQReuotduKg1/I8H7/33aALx5c/P3/g1/z4p2fwG7/9CPlSE3/80Tp+6K2J8xwiEV1woijiS5+chmU5kGWRkyci6om58SSmhuPwECzsiC4bTZXxlT9xBYblQFO5jCTqd9lkGH/2iwtwHA8qr1miS+UL705x/Uw0wERRxI++xzgYERHReboMca9YRMXPfmHhQv+ORNQfcqkI/hzjkkQ0AGIRFX/mRzg/Irps7l7J4fpMBiIAmWd/qA/wXUiv9fGLAvKlJiKajPfujB74Naoi4ac+NwsA+K9/8PwcR0dEl4mqyty4JqKekmWRCRx06TGISTQ4RFHkRinRJcX1M9Hg43VMRER0/i5D3Osy/I5E1HuMSxLRIOH8iOjyUWWRCRzUN/hOpNf6+gdrAIDP3R1HSJEO/bqf+dwcRFHAg5dFLG/Wzmt4REREREREREREREREREREREREREREREQDg0kcdCjf9/GdB5sAgE8f0oVjRzqh4RM3hgEAv/fd5TMfGxERERERERERERERERERERERERERERHRoGESBx1qNV/HRkGHLIl46+rQG7/+S5+cAgD83ndX4Hn+WQ+PiIiIiIiIiIiIiIiIiIiIiIiIiIiIiGigMImDDvWdB1sAgDtXsgiH5Dd+/Xu3RhHVZGyXm3jwsnjWwyMiIiIiIiIiIiIiIiIiIiIiIiIiIiIiGihM4qBDff9RkMTxiRsjR/p6VZHwqdujAIBvfLR+ZuMiumh0w8JGoQHLcno9FCKiS8PzPGwWdVTqZq+HQvRGfL8S0UHKNQP5kt7rYRBRn3GcYN5Q1a1eD4WITsGyHGwUGtANxguJiKg/GK1nk8G9LDoGvm+I6LgKlSa2y4x5EnULn8VERNSveGY28Ob2CnQpua6HBy8LAIC3ruaO/H2fvTOG3//uCv74w3X8ta/chiAIZzVEogths6jjd7+zBNf1EQkr+MnPTCOiqb0eFhHRheZ5Hv7nt5ewVWwCAvCpG6O4Ppvu9bCIDuR5Hr72rSXkS8H79b1bo7g2zfcr0WX34dM83n+yDQCYGI7hi5+Y6vGIiKgfOI6H3/7WIooVA4IAfPbuOOYnkr0eFhEdU1W38LVvvETTdKHKEv7ke1PIJsO9HhYREV1ilbqJ//HNRViWC1WV8OPvTSMV13o9LOpz5ZqB3/7WEt83RHRk376/gUeLJQDA/EQSn7s33uMREQ22St3Eb39zESafxURE1GdePTM7i4h2OdMZ2ImDDvRivYqm6SKqyZgeTRz5+969PgxVFrFZ1PFyvXqGIyS6GB6+LMB1fQCA3rTxbKXS4xEREV18+bIRJHAAgA983EpcJepHm0U9SOAAAB+4/4LvVyICHrwotf+8ulVHuWb0cDRE1C/WCw0UK8H9wOe8gWhgPVsuo2m6AADLcduHmIiIiHrl8VIJltV6Nll8NtHRPF4ud7xvHi+XezsgIuprnufh0dLu8+X5aoWdA4hO6fFSCSbncERE1Ifuv9h3Zna13NsB9RCTOOhA958Hm7w3ZjOQxKN309BCMt65PgwA+OMP189kbEQXSUjtzCAMhy5nRiER0XkKKSKwZ3oTkjklpv6l7ZsrqIrUo5EQUT9R1d1nlyAAqsJnGREBmto5T+C9gWgwhXgtExFRn9k/z9z/rCI6SGhfHHP/x0REe4miCFXavU9IkgBR5FqI6DQ4hyMion61/4xs+BI/ozjjpQPdf1EEANyezx77ez9zZxQA8J0Hm10dE9FF9Pa1IYxmowiHJFyZSGJhKt3rIRERXXipuIZP3BhGJCQjHQ+xHTP1tXRCw7t73693x3o9JCLqA5+/N45kTEUkrODTd0YR0dReD4mI+sBQOoK7CzlEQjKyyTA+c5fzXKJBdGMmjdmxBMIhCRNDMdy7OtzrIRER0SV3czaL6dF48GwajuHOfK7XQ6IBcHsui6mRGMIhCVMjMdyeO/65AyK6XP7EO+OIR1TEIgo+d3ccKouwEZ0K53BERNSv9p6ZXZhKXeozsyz5Tq/wfR/3XwSdOG6dIJiy04nj6UoZlbqJZCzU1fERXSSaKuNH35vu9TCIiC6dm7NZ3JzlphENhltz2RPNy4no4hpKR/CVP3Gl18Mgoj701tUhvHV1qNfDIKJTEEURP/T2RK+HQURE1CbLIn74ncleD4MGjCyL+MK7U70eBhENkLFcDH/6C7FeD4PowuAcjoiI+hXPzO5i2jK9olAxUKqZEEUBC1OpY39/NhnGzGgcvg988GS7+wMkIiIiIiIiIiIiIiIiIiIiIiIiIiIiIhpATOKgVzxdKQMApkfiCCnSiV5jpxvH9x5tdWtYREREREREREREREREREREREREREREREQDjUkc9IqdJI4rk8kTv8a7e5I4fN/vxrCIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiAYakzjoFc9WKgCAhcnUiV/j1nwWqiyiWDWwtFnr0siIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiAYXkzjoFc92OnFMpE78GiFFwp0rOQDADx7nuzAqIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqLBxiQO6lCoNFGqmRAFYG4icarXursQJHF89Gy7G0MjIiIiIiIiIiIiIiIiIiIiIiIiIiIiIhpoTOKgDs9WKgCAyZE4NFU+1WvduZIFAHz8vADP8089NiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKiQcYkDurwYi1I4pifSJ76tRYmU9BUCTXdxuJG9dSvR0REREREREREREREREREREREREREREQ0yJjEQR0WN2oAgNnRxKlfS5ZE3JzNAAA+elY49esREREREREREREREREREREREREREREREQ0yJnFQh6VWx4zp0XhXXu/OlRwA4KPn2115PSI6mOf5cFyv18MgIqILyHY8+L7f62FcCq7nw+XznIiOyOM9g+jCc10Pnsd5GNFF5fAaJyKiS4DxrrPF+QQRDSLH5b4TXT4800NERN3E58rFIfd6ANQ/HNfDar4OAJjpQicOALi7k8TxrADf9yEIQldel4h21XULj5ZKcF0fmaSGhclUr4dEREQXgOf5eLxUQrVhQVVE3JjJQAtx+XBWtstNvFirwPeByeEYxodivR4SEfWxYtXAs5UyfB8Yy0UxNdKdQgxE1D+WN2tY325AEIArkylkElqvh0REXeL7Pp6ulFGqmpAlEddm0oiFlV4Pi4iIqOs64l0jMYznGO/qphdrFeRLTYiigKtTKSRjoV4PiYjotTzPx5PlEip1C4os4vpMGhGNayG6+Gq6hcetMz3ZpIYrPNNDRESnUKmbeLJchuf5GEqHMTee7PWQ6BTYiYPa1vJ1OK6PcEjCUDrclddcmEpBVSRUGxaWNmtdeU0i6rS0WYPrBpUqihUDlbrZ4xEREdFFUKgYqDYsAIBle1hpJfvS2Xi5XsVO4amVrTpsh1UTiOhwi3vuGevbDZi229sBEVFXmbaL9e0GAMD3g3kCEV0clbqFUjWI3zmuhxXGzYmI6ILqiHdtMt7VTY2mjXypCSA4FL20wfkEEfW/Us1ApR7sO9mOh5Ut7jvR5bC0sXumZ+/+KxER0UksbdTaHRnzpSYaTbvHI6LTYBIHtS22gjvTI4mudcxQZBE3Z9MAgI+ebnflNYmok4DO65Udb4iIqBv2P074dDlbHf+/+T+biIjoUts/FeDUgOhieSV0x4uciIguqP3xLm5fdQ/nE0Q0iPafY+BzgS6LV/Zc+d4nIqLT4HPlQmESB7XtVOiYHo139XXvXMkBAD56Xujq6xJRYHo0DkUWAQEYSoeRiKq9HhIREV0AmYSGVDwEANBCEiaGYz0e0cU2P56EKAoQBGB6pPVsJyI6xNx4EpIkAAIwORJDSJF6PSQi6iJVkTA1EgcEQJIEtsImumCSsVC7E7aqiJge6W48noiIqF/M7Yl3zYwmIEuMd3VLRFMwlosCAiBLImbHEr0eEhHRG6XjIWQSGgAgpEqYGuZaiC6H6dFE+0zPSCaCeIRneoiI6ORmx1rrawEYy0UR0ZReD4lOQe71AKh/LG5UAQSTx266NZcBADxcLHX1dYkoEA0reOf6MDzPhygytZKIiLpDFAVcm07z+XJO0gkNn0xo8H2fXbWI6I1S8RA+cWOE9wyiC2wsF8VoNsJrnOiCmhtPYmY0wbUWERFdaJmEhgzjXWdmaiSOyeEY/98S0cAQBAELUynuO9GlE+OZHiIi6qJ4RMW7N4a51r4gLkS5i1/5lV/Bl770JVy/fh2PHz9+5fP/+T//Z1y/fh2/93u/14PRDY6z6sRxbSoNURSwXW4iX2p29bWJaBcXe0REdBb4fDlfXGQT0XHwnkF0sfEaJ7rYuNYiIqLLgvPas8P/t0Q0iLgWosuK730iIuomrgcvhguRxPETP/ET+PVf/3VMTEy88rmNjQ38x//4H/H222+f/8AGiGW7WN+uAwBmupzEoYVkzI8H3T0evix29bWJqDtc18PyZg2LG1UYltPr4RAR0WuUagZerleZHEtnotG08XK9irXtOjzP7/VwiOiYDNPB4noVK1s1uK7X6+EQ0SkYloPFjSqWN3k9E9HplarBOnK7zHUkERH1J85/BwPjDkTUTZW6iZfrVWwV9V4PhYguCGfP2SfTdns9HCKiM+F5PtbydSyuV6Ebdq+HQ6ck93oA3fCpT33q0M/9/b//9/F3/s7fwa/+6q925Wf5vg9dv3gLiMWNGjwfiGgyNNnr+u+4MJnA05UKPni6iU9cT3f1tYno9J6slFGtWwCAYsXAvatDkFgFgIio71TqJp4sldsf+/AxnI70bkB0oVi2iwcvi+3kDdNyMTee7PGoiOioXNfD/ZdFOE5wiEI3HFyb5vqbaBC5no8HL4qw29ezjeszmR6PiogGVblm4slyGQCw1fq7XCrcs/EQERHtt3/+2zBs3OD8t++4rocHL/euUxh3IKKTq+sWHi2VgFYtKc/3MZqN9nZQRDTwniyVUdODs0/lqom7Czl2QCGiC+fFWgWFigEA2K40cW9hCIp8Ifo5XEoXIonjML/+67+OhYUFvPXWW117Tdu28eDBg669Xr/4eClI2khHRTx8+LDrrx+Tgtd///EGHsyzoi9Rv6nru1mZtuPBsl2EQxf6EUFENJAazc4s+rpuY5j7ZNQlTdPp6L5Rb7JqA9EgMW23ncAB8BomGmSW7bYPRgFATef1TEQnV29aHR/XdItJHERE1FfsffPfOue/fcnkvxMRdVG9abcTOIDWPSXbu/EQ0cWwNwZi2i4sx4Wm8uwTEV0se9diruvDsBwostrDEdFpXNin1PLyMv7Tf/pP+I3f+I2uvq6iKFhYWOjqa/aDh1svABQxP5nFzZs3u/76Q+MG/o8/+kNslh3MzV+FxsPhNKAuYhIXACRjKkpVEwAQUiWEFKnHIyIiooPEoyogoB3YTsa4EKPuiWgyZEmE4wabscko319EgySkyggpUrtFeILXMNHACikSQqoE0wquZ875iOg0EtEQ1rYbe9aRod4OiIiIaB+V89+B8Ercgf9ORHQKiagKQQD81jqF9xQi6oZkLIRyLTj7FA7JUGWefSKiiycRU5EvNQEAiiyyUPeAu7D/ej/4wQ+wtbWFn/7pnwYA5PN5/L2/9/fwN//m38Sf//N//sSvKwgCIpFIt4bZN7bKwQRmZix5Jr/fdCSCXCqM7XITKwUT9xYSXf8ZRHRyVyZS2IrocD0fw+nwkdsJOq6HRtMOFj9M/CAiOnPxiIqbsxmUayZiEQXpuHbo11q2i6bpIBpWIEtsnXgZGaYD03YRi6iQjvBsV2QJt+Yy2K40oSoShlidl2igSKKAm3MZ5MtN+L6PqKbAdlwo3KQgGjiiKODmbBov12tQZBEzo4yjEV00ruejrlsIKdKZFzxKRFXcmMmgUjcRj6hIxZnEQUR0kRiWA9NyEQsrkAY0BiiKAm7NZbBVakISBQynL95e/EWwN+4gCkA4pEA3bEQ0pddDI6IBFNEU3JzLolwzENEUZBKH73e9yXH3Qojo4roymUK+pMPzfAylI0c++9RrtuNCNxxENJl7OkT0RrNjCQgCYFoepkdiPA804C5sEsdXvvIVfOUrX2l//Ff/6l/FX/trfw1f/OIXeziq/rWarwMAJoZjZ/Yzbs5m8Ic/WMWDF0XcWxg6s59DRMcnigJGs9FjfY9lu/j4eQG240EUBdyYSSMWYYUMIqKzFo+oiL/hflvXLTxcLMHzfCiyiNvzWSbbXTKlqoGnK2X4PhDWZNyazRxpI18LyZgcjp/DCInoLKiKhExCw4MXRThuA5Ik4NZclhVYiAbQy/Vau2pcSJEwPnR2MTsiOl+u6+H+yyKahgMIwMJk6lQHlo4iEVXZpYuI6AIq10w8WS7B9wEtJOHWXHZgD28osoQJznn7nqpIGMtG8WixhOXN4HzB7FgCwxkm3hDR8cXCCmLh0yWCdeyFhGTcmjvaXggRXUzSCc4+9VrTdHD/RQGu60OWRNycy3BPh4heK19qYqsYdOJ46fm4PpMemKQ1etWFmLn+8i//Mn74h38YGxsb+Pmf/3n82I/9WK+HNHDWdpI4zjA4dmM2DQB48LJ4Zj+DiE7HsBxYlnOkry1UDNiOBwDwPB9brTZdRETUe5vFoMIIANiOh7Xt+pHv7zT4PM/D89UqXDd4TjcNB5WG1eNREdFZsxwPumFhu9yE07r+XddHvqT3eGREdFyG6bQTOABgvdDo4WheZVgODM4tiU6s2rCCBA4A8IGNM7rGLV6rREQX3maxAT8IAcIwXVTq5uu/oc/pxtH3qKh3GoaNmr4bazxoveJ5Huq6Bc/zznNoRDRALMuBbpz+nr9Z1NvPwqbpoDzgz0Kii0Q3LFgO5wJvki/pcN3gRua4HrbLPHtFRK+3XmjAcTwYloOabkE37F4PiU7hQqTtffWrX8VXv/rV137Nr/3ar53TaAZPtWGhpgcX8tgZZqPems0CQLsqNLO/iPrL9x9t4ePnBUAAPnFjGDdb1+xhVKUzD1CRL0ReIBHRhbC368bDxSJ+8NhBNKzgs3fHMT+R7OHI6KxZloOvfWsJz1YrcD0fby3kEIuofE4TXXArmzX84furcF0f8aiCsexugQZ2YiIaPJIkQhDQPoSgyv1zHX/4bBvvP8kDAN5ayOEuu+0SHdv+uflZXOOPXpbw7YcbgA/cms/i3evDXf8ZRETUe8q+Z8igduEAgG/d38DjxRIEAfj07VEsTKV7PSQ6hCKJgADgkPWKYTn42jcXUalbiIRk/OhnZpB4Q2dpIrpcXqxV8PUP1uD7wJWJJD57b/zEryXvX18xFkrUF/7g+ytY2qhBkgT80FsTmBqJ93pIfWv/fYt7ukT0JqWKgW8/2ITn+xjOhHFvIdfrIdEp8K5P7S4cuVQY2hm245odTyCkSmg0bSxv1c7s5xDR8RmWEyRwAIAP/OBx/o3fk02GMZaLQgtJyCY1jLPNNRFR3xgfiiGb1OC6Hmq6jYimwPeB7z/a7PXQ6Iw9WamgVDORjIUgCgLWCg1Mj8YR50Yp0YX2/cdb7UpN1boFQQC0kIShdBjD6UiPR0dEx6XIIhYmUwhrMmIRBVcm+yMJ13G8IIHDB+AD7z/dZjU9ohOIRVRMj8YRDslIxUOYGev+QYbvPd5sH6y8/7wA3WBnPiKii2hqJI5UPIRwSMbkSAzJWKjXQzqRqm7h8WIJQJDI/L2Hb96jot7RQjLmx5MIazISURVzE4mOzz9aLKFSD+Yeuung46fbvRgmEfWx7z3cbBeueLZaQalqnPi1ZkYT7Wch90KI+sNGoYGljeBcoOv6+N6jrR6PqL8NpyMYSoehhSQMZyIYyXBPh4heb7vahKKIkGURtu11dEqkwXMhOnHQ6axsBUkcE0Nn14UDCKq/XJ9O44On23jwooiZ0cSbv4mIzs+eqjmCcLROOVMjcWbMExH1IUkUcGUyhVwqjGerlfbfCyJzuC+6nX9iSRSQTWqYHUtg9Ay77RFRfxD3zN8FQcD0aIKBfqIBl05oSCe0Xg+jg9hZcBcCWCGI6KRGs9EznacHsb2dQB8gci1IRHQhKbKIa9OD37Fi/1NK4GOr7+VSYeRS4QM/J+7bYhT2/wURXXrBXpW7+/EpbhMX5VlIdJFI+579+z+mTqIoYG68P4r4ENFgCCkScsnd9dhp5lLUewyBENa2gySO86iif2M2AwB48LJ45j+LiI5OU2W8e30YkiRAlkV8+vZor4dERERdkIyFcOdKFoIQtLV/7+ZIr4dEZ+zqZDo4DCYA8aiKt68O9XpIRHQO3rs9ipAqAQJwdSrFBA4iOhOiGMQLJEmAJAn41K1RyDLDy0T96NO3g+tTEIB3rw9DU1nPi4iI+lcsouKtqzkIAiDLIj5zZ6zXQ6JTuD6bxXAmDAhAKh7CvQXGJ4mo06dvj0KVJQgCcHs+i1S8v4pYENHpDKUjuDaThiAAIVXCp27x/BERUTd96lawLywIwPWZNHIp7gsPMkbuCav5IIlj8hySOG4yiYOob92ay+LWXLYrr+W6HpY2a2iaDnLJMIZ5iIyIqGfevjaMewu5c6m8WtMtrG7VIQjA9GgC4RCXG+dNlkX86HvT8DyvZ9V2NwoNFKsGIpqCqZE4K+wQnYOhdAT/tz957UTX/tp2HeWaiWjrmhV5zRLRayxMpbEw1d0Kl6WqgfVCA4osYmY0AVWRuvr6RJfR3HiyJ1Ucd9YC4ZCM6dEE1wJERHRkdxeGcPeQw/6G5WBpowbX9TE+FEUyFjrn0dFxqLKIH//07JnFJ7l+IBo8+VIT+bKOkCJhZiyBiaEY/vyPnSyWSUSD4b1bo/jkjWFe4wPM9XwsbVTRNB1kEtqZdpQlOk/1po2VrRoAYHokjoim9HhExzeajZ54X5j6D09VEdbyDQDn1IljJtjkXd9uoFwzkYozyEZ0ES1v1ZEvNQEAdd1GWJMRj6g9HhUR0eV1Hgs31/PxeKkE1/UBAE+WS6yy1kO9WqyXayaWNoKgR123IYkCpkbiPRkL0WV03Gu/VDWwshkUdqjrNiRJwOQwr1kiOj+G5eDpShl+MIWE51VwfSbT20ER0YnsXwvIksi1ABERdcWzlQoaTRsA8GTZxltXh6CwI1zfO4v45P71g+tVcIPrB6K+1mjaeLFWAQDUEdzLr0ymAPRuH4OIzgev8cG2slXrPPcVkplMTQPP9308XizBcT0AwCOjhHeuD/d4VCfH++zFwCSOS87zfKy1OnFMnEMSRyyiYno0jqWNGh68LOKzd9kOl+ioCpUmqg0L8YiKXCrc6+G8lmE5HR+blos4m3EQEZ2Y43pY327A9XyMZiLQ+rDDheN67QQOILj309nbmR9EwwqG071/2B40ByCis2XZLta3G4AAjOeiUOSjV6A09l2jvGaJ+odhOtgo6pBEAWO5KGTpYgbjLdtrH8ACANPmfYguL9N2sbHdgCAAY7nYwB1O3X/97l8bEBHRxeB5PtYLDVi2i6F0BLHw2Vct3btW9TwftuMO3HOSTs6wHGwUdIhCcNagY/3AOAbRubFsF+uFVoHYY8Qg968TuO4nGlxbJR2Npo1kLIRMQuv1cOiM7Z9n8f5NF4Hr+e0EDgCwHQ+e50McsG7CrudjfbsO2/EwkokMZDcR2sXoxiW3XWnCcjzIkoDh9PkcCr85G1TDePiyeC4/j+giKFYNPFupIF9q4vlqBYVKs9dDeq2hVBhozW9URUQyxi4cRESn8XSljPXtBraKOh68LML1/Dd/0zkLKVJHl7V+SCi46Mo1sz0/eLlWbVdD6aV0QoPc2kQXBPR94inRRfBwsYjNoo7Ngo6Hi6VjfW86EWofDOc1S9Q/XM/Hg5dFbBV1rG838HSl3OshnZloWEFE201QHkpxDkmXk+f5ePgieKZvFHQ8XjreM70fpOKhjrUAr2ciootpcaOK1VY39ocvi7DO4TDX0J497HhERbgPC9zQ2fA8Hw9ba6ONgo61fL1j/cAYNNH5ebhYxGbh+DHIRFRFSN1N+OA6gWgwbZX09l7k0+UyKnWz10OiM7b33Jcii0ixCwddALIkdiSh5VLhgUvgAIAXaxWs5RvIl5p48LII2/He/E3UtxjhuOQ2CzqAIMAhnVNFv5uzGfyPbyziAZM4iI5sp030jkrdhO14kCUR2aQGQXh1QlGqGTAtF6l4CJp6vNt9XbdQb9qIR1RET1BFKZsMIxySYVgu4hGVFZGI6MKrN23UdQuxiHrs6nOlqgHTdpFOaAgpB1cuquu7zwHb8WDZ7rluVvq+j+2yAc/3kUtqh84br06lUK6bEAWB7VRPyLRdlKoGQoqE9Buq2NSbVsfHlUbwbyQKAnKpzvmBYToo180zb3UbUiTcvZJFTbehqRKrPhB1mef52K404ftALqnBB2CYLhzXQ023UNNFeHN+cN+uGAfeD/bSVBl3rmRRbwatsHkQhqg/WLbbEXTfHxM4a6+b++3ch+AD2VQY0ik3OCRRwMJUCkvrVWghGWO56GmHTzSQHNfrqGjYME523dd0C42mjaimwLDc167hLNtFsWpAVaSuVNDkWoCIqDfKNROG5SAVC51L9969cUrP81FrWLBdD4osIps8eWEAx/VQOGQdOzUSRzIWgut6SMZCh65xqXd2Yo87fD9I6oyGFcQjJy/0ZrseLHt3bdQ0Hbx7YwTVuglFFhE7xWsTXRSn3dc/Csf1YJjBeqVpOihVDcyMJpCIvvkalCURt+ezqDYshBSpY4y6YaPasM5834LoInNdD9sVIyjSlDzdYWTH9bBdbh54Dml/fHKnI8dlshNHOe28d1CkExruzGdb576UY3WBJ+pns+MJAMF6ZXYs0ePRnExDt1FtmHA9H/GICsNyoMiDtzaq1E00TQeJqHqpY8ncnb/kNlrtDkez57dBenMu6MTxZLkMy3ahHnJYkYh2JaJq0J7UDw5TbBb09uZrTbcwN57s+PqNQgNLGzUAwGq+jjtXcoceDN6vUjfxaKkEtAKsN2YzJwqwRjTlUj9giejyqDYsPFwsAj4AAbgxkzlS4BoA1rbrWNmst/7cwN0r2QMDIKlYCMWqAQDQQtKR7+nd8my1gmIl+Pn5ko5bc9kDg4CCICAdZ/vck7IdD/efF9qHNieHYxgfih369clYCGvbu/ODfKmJYiXYLK00TCxMpgAAhuXg4xcFuG7QwWV2PHGmVeoUWUImwTk+0Vl4tlpGqRpc59vlJm7NZaCFZDx4Edw7wiEZy5s11HQLuuEA6LwfHERVJGS4LifqKyFFghaS2gckktHz3RDdP/e7PZ9tb9o+Xi6hWg8SSYtVAzdaHXdPynE9PHpZCg6v1y0IgoCpkfjpfgGiAaTIIsKajGbr+X2S6oblmonHy0FMb73QQCoWQjgkt+cMew9f2I6Hj/esPSaGY5h4zdrj6L8H1wJEROdps6hjcb0KAFiVjrcXdFLJmIqmGTyvRFHA4kYNjhs8T+q6jZkTHILxWp3odp6D1YaJK/vWsUeNt9L5M20XH78oQDccLG3UkIgoqOoWRjIRJKIhXJ1OnThmrO6bIyVjIUii8MbiN0SXRbf29d9ElkREwwq2ijpW83WEQzIeLRZxczZzpGSq/VWvgSAZ5P6LIrxW5/krk8lLcSiaqJt838fDxVI7waJSN3F1Kn2i1/I8Hw9eFNvzvP3nkJKxEPKlZvCBcPnmZo7r4f6LQju5VDecSxHD5LkvuoieLJVR04M9Dsf1cH3mdHscvaCbNjZaxfvruo1P3Bju8YiOr1Bp4tlKBUAQW7g1l7m09xuWRr/kNorBxTySPb+WhWPZKFKxEBzXa1+IRPR6yVgIN2YymBiOYWYs0VE9b+dQ717l2m61G9f1Udc7K3XXdAvVhrX/23a/N4iVwPd3X0s3LCyuV195LSKiy65cM2AYDvIlHYbhoFzrvC/7vo9K3UT9gArKOwdxAcBxvI5KdnvNTyQxM5bA5EgMN2cPTqA4S3ufK7rhwNpTIZa6p960Oqpu7zzjHcfD8mYN22W94+vjERU3Z4P5wWg2CsN02xsepT3zg2rDaidwAJ3/nkQ0WEo1E03TxlZJR7Giw3Y8jGUjUGQR6UQI48MxbJX1dgIHwGueaJCYtotyLaiedHM2i8mRIAYwP5F88zcfgWU5WN6svTJf3W/vPEI3nHZ3ANfz2wkcwM4c43Rtuve+PnBwjIPoorIdD+WaCdN2IQgCbs5mMDUSx/Ro/LUJmHttFnWsbNbgeR5KNaMd06vpVrubR6Npw3I6r9VG0+5Ye5R47RERDaTSnnmd6wZdMc7a9GgCc+NJTA7HMDeeaCdw7Ixnu9LER0+3Uak3j/yalu22D+kHr8N1bD+ot/YSfd9/7dfVWrFH3bBbnUGDDqI78fCD4hLlmoHlzRosy3nlc3uddI5EdFkctq+/w/OC/alG0z50n+GobsykEY+qGEqHMT4cC35e/eT360rdbO9nAJ37ZUR0NLbjoaabKFSaKNWME82h6rrVqoRutxM4gFevyUxCw/WZNCaHY7h1xASui6TRtDu6g3HfhWgwOa7XKoRnQzdtVOpWx3xkUIRDMiKaDFEQMJwOvxL7HQR7nzOe5x96jvUyYCeOS67diSNzfp04BEHAjdk0vvHRBh68LLQ7cxDR6yWiKhJRFa7rYS3faAfGowdkIYY1effhJgQP7x2LG1VstrIxM0ntlYBnWOt8NEQ0GaWqga99cwmW40KSBPzYe9PIpc4v+YuIqJ9ZtotvPdiE63qQJBFjud15le/7eLxUQqV12G1/ddOIJrerowj77td7iaKAkUzv7rsRTW4nmMiyCIUV289EWJUhCMFmCwBEwwocx8Nvf2uxXQ37nevDuD2fbX9PPKLCMF0sb9awUWxAlkRMDccR31MBJ6IpgID2Zs5h7zMi6n+W5eJb9zfheT5CioSr02ksbdTRNF00TRexsIpMLtremAWCezgR9b+6buHhYgme50OWRdyay2A8d/qq+DsMy8F///pL6E0bggB87t74K109d0Q0pT1HVWSx3SlOEoWODiEhVeooMnESmipBFIX2RslBMQ6ii8i03XYXPlEUcH0mjXhE7VhPvsn3Hm3h/vMCAGA4E8a9hVz7cyFFgtZatymyCGXftaqFpI61x2WtckZENOiimrKbZCuc3/pvKB1USrcdD5IktIuHlOsmfufbS3BcHyFZwv/2E9cwmn3znFaRRciy2F7Hck7Ye0sb1XZl10xCw8JU6tCvjWgyIATrAwCIhRWYttfuCrN/nvFirYI/+mAN8IFYRMFPfnYWmnr4e1feF3Mnol379/Wj4d3rzfd9PFosoaYHBRherFfba+9P3BzGzdksjkOSREyPxjsOOp5mHbH/exnDJDo+WRLx8EUJm6XgmT03nsB7t0aP/P3LmzWsbwfnBuNRFbIkts8hRcKvXpPJWAjJE3QOvQi0kNwRw9x//yWiwSCJAgpVA4VyUHRgOBM59wKq3bBZ0PFkuQwAqDQsfPLmSG8HdAKRsIxidffjy3yG5fL+5gQA7YPco+fYiQMAbs5m8Y2PNnD/RRF/5ovn+qOJBp4kibgxm8b6dnBQc3zo1QD41HAckijAsFzkkuF2EMT3fWwWd6trFCsG7FG3fSADAIbTEfh+ULEvEVWRTYbx7fsbsJxW5U3Xx5OlMpM4iIhaijUT8bAC03YRUqSO6sGG5bYTOIBg7rU3iWNmNAFZEmHaLoZSYWh9ujC5OpXCar4B1/UwlotCGsCF7CDQQjKuTaeRLzcRUiSMD8WwVWy0EzgA4MlyqSOJAwA2iw2IgoDJ4ThKVQPRiIJr06n252NhBVcnUyhUDURCMjc9iQaY7/sIqzJ8+IhHVHzwZBupuIbJ4ShKNROKLGJhIgnL8bC+3YAoCpgY4jVPNAjy5WZ7E9BxPBSrRleTOFY2a9BbiRm+DzxeKh2axHFtOpj7eZ7/ytzv+kwGa/k6AHRlTqEqEq7PpLFZ1KHKYsdcmegiK1WNdicMz/OxVdQRP2YVy8dLpfaft4pNaKqM6dE46k0bk8MxmLYL3w+u1f2bkZoq4/pMBlslvb32ICKiwTMxFIMoCmiaDrJJ7dyT8hRZxPWZDDYLDciyiG/f34DTSugwHRcfPSscKYlDkkTcmAn2vSSJc8J+0LGXWDVg2S7UQwr7RDQFV6dSKFQM5JJhqKoEuxUrj0XUV4oTPV4qtYvN1HUbK5s1LEylz+x3IbrI9u/rZxJa+3O64aCmB/tTpZqJtXwdo9lgHf94qXzsJI6dn+d5PupN+5Wfd1yJqIork0mUaiYimoyxLGOYRMdlWHY7kVeAAMN8fYer/fY+72sNC9emg+e5LImYGOZ8bK8QY5hEF4Lr+UhEFNit7uBRTYHn+QOXyFFv2oiGlVbRPwGVhoXwgBVD2Jn76YaDdPzyJgkCTOK49DaKrU4c57wgutXqvvFwsQjf9yEIg3UjJOq1iKbgymtaBoticJBzP0EQoMpiu82fKAoQxVerZo5kIh1B1b1VOwBmlRMR7RUOyYiGlfa9cm+1IFkSO6qbKkrnPVcUBUyNvHq/7jeKLGF2LNHrYVwK+6vYhENyRxeNg6rSqYoE3XAQUiSM5qK4MpHsSNAEgHRCQ/oUGypE1B/iURWpeKjjYwAIhxSEQwrGh6KQJBFhScT8xMGHs4moPyly5zxRlbvb+Wx/AP911Y1fN/cLKdKhyR8nFY+oxz68TjToXrnmT9DtMBySUXOCQ1mCAKiKjFT86HP+na6/REQ0uILE/d4eIIuFFcRa+1VP9iQYAkA8fPTnzJv2veh8qbIEs3WwSRSFN3bgS8c1pI84D9lfYXX/HiQRHc/+ff0dsry7P6WpEqQ9a5Bw6OQxh26eLcomw8gmw117PaLLRpZlhFQJshQ8g497bauK2O64K4oCYhH1WHGFy4YxTKLBJwoCtJDcns/IsjhwCRxAsIZK7ZwpEQazi4UgCF0tZDbIBu9fj7pGN+x2ZeiDFnVn6cpkEoosolK3sL7dYKUvonN0dSqNxY0qfB+YGokfqZr6jZk0qg0Lm0UdQ6kw7sznzmGkRESD4fZcBvWGha1yE8OpcEeXBEUWsTCVwlq+AUkUMMNECDqmVFzDZ26P4sHLIkKqhM/cHX/la2bHEniJKizbxXAmcu5VF4no/NyZz0E3HOTLTYxkInjv1ghW8w2U6yZiYYXBLqIBNp6LwXY81Js2UrEQcqnuHmKYGIrhras5PF+rIhFR8clbg9dem+giySbDaJoOSjUTUU05UXz8h9+ewDc/3oDjerhzJdtRUICIiKgXfvjtSVR1C1vFJiaHY/j03bFeD4lO6Op0CovrNXi+j8nhWFc7M793exSu66OqW5gfT2CMsQyiMxFSJFyZTGEtX0cipmI4E8GLtQrCIRmfucP7M9FFoMoi/sRbE/jBkzxEUcB7x4z3LUx2Pu/lNyRtEhENOlEUcG06jaWNGgQBmB4dzPM7n3trHN/4cA2m5eLmbOZSd7G4CBjVv8R22qLFI+q5V7hQZAkLkyk8eFnE/RdFJnEQdcF2udmeZMxPJA99QEfDCm7NHa89qiiK+MydMWyXdfyv99fwn373Ma7PZPDu9eFuDJ2IqO+tb9fx9Q/WYLs+7l7JdSRqiKKIz9579WD9juNUITsJ1/XwdKWMmm632k+nurqpRr23MJXGwlT6lb/3PB/PVsuo1C3EwgpuzGbOPMC6XdbxBz9Yg2k5uDGTwTucCxCdK1kW8bl9z5ypkTgimow//MEqvvHROham0khGVVQbFuIRBQtTaT4XiAaAKAodHS7uvyjgg6fbUCQBn7k73pUKy3cXhnB3YeiNX1epm3i+WoHn+5geSWAozaqYRGdhcjh+YCfdo0onNPzkZ2ff+HWW5eI3f+cxNooNDKXC+LNfuorYMSqjExHRxWc7Lp4sl6EbDtLxEOYnkhCE468jVVXCn/mRq2cwwlc5joff/94K8mUdmYSGL7w7eWAHWzqZiKbg5lzmWN/j+z6er1ZQqpkIh2Rcm0690i0YCDoNf/GTU90aalctb9bwjY/W4XvA29eHcG361Zgs0SDJJDRk9nTovnPl4EKNdd3Cs5UKHM/DxFDs0G4bluXg9763gmLVwFAqgh95dxKyzEPfRL00ORLH5MjJYgsned73muv5eLZS3t3/mEy9sWMY7Xq+WsF3Hm4CAD51c6TrHZeJBoFluzAtFxCCtTAweAUyTdNBvenAtBzUm3avh0OnxKfYJbZRaAAARrPn24Vjx63WRPDhYrEnP5/oInFcDy/WKnBcD7bj4dlK5Ux+zrfub6Ku23BdH/efF5Av6Wfyc4iI+s0ff7SBpunCcTx8//EW6rrV6yG1bRR1VOoWPM9HuWZis9jo9ZDonGyVdJSqJjzPR7URdLg7a9/8aAN6M5gLfPy8gEKleeY/k4je7Jsfb7Tn6d/5eAOL61V4no9K3cJmgc8FokGjGxa+92gLjuOhabr45ofr5/rzn69WYDseXNfHi/Xgz0Q0uP74ozWs5utwXR8bBR1/+P3VXg+JiIj6zMpWHXXdhuf5KFQMFCpGr4f0Rg9eFrBRaMB1feRLTXz4dLvXQ7r0itXgveN5PhpNGytb9V4P6dj++IN1mJYLy3Hx7fsbsCyn10MiOhcv1qowbReu62NpowbjkPf++0+3kS81W2uLBh68LJzzSInostssNFCumbv7H0WeWToqx/HwzY/XYVkuLMvFNz5ah+cx7kuXi+cFieeO68Fpna/0fb/Xwzq2b368e2bjo2c8szHoWI7iEtsoBBOZw7Loz9qN2SCJ4/4LJnEQnZbv+9g7p/BaH9SbNpZb3TmmRuKn7rqz/+DGTtLI4noQ2BlKhzGc7k1iGBHRWTJMB9uVJnzfRyyiwnGPHtCo1E2s5uuQRAEzowlooe5OwT2vc1HpuoO3yKST2f9vX62buK9bEFvvtXCX32sA4Ox7f53FoU7f97G0WUO91V1m6oQVhIguEs/zsbhRhW44kCQBnud3PFfcPc8lD+h4TrkenwtEg8Dzgudfo2lDlgRgz6Vr2R6er1bQNB1kEhrGcmcby+u4b/gYyE0MokG3vFlDtRF03JsaiUM8oKuWYTpY3KjC9XxMDMUO7cq7f85u2e6ZjJmIiAbX/nXjYevIQqWJjYIOVRExO5Y4sMvCSe3EUEVRwOwRYqj7Y1QOE497bn9c+qD31VIrttHNdc1mUcd2uQlNlTAzljhVp2Lb3Z0n+T7geAD7l9FlsH+vYe/Hvu9jZaveKiRVR7lmwHY8hFQZNvejiOicHXXeuqNUM7C+3Qj2U8YSfdm5zfd9LG/WUNNtxCNBHOgkXfHexEPnfM31fHgeILIEPF0iB52v9H3gDC65M2VYTpBA7/uIhZVX1seDYO/6MB0PYbwL3egHFW/Dl1ivO3HcbCVxLG/W+qqaNdEgUmRpN9jZStjwfR+PF0uo6RaqDQuPlkqn/jlvXc1BkoKZy/hQFCOZCBY3qihWDTSaNl6uVdFgmy4iuoDS8VBQlcL2EJJFRMNH27qxHQ9Plsuo6zYqdQtPV8pdH9twJoKQEmyYhlQJIxkm010WQ+kItFDwby9JAqq6hbpuo1q38GT59M/9g9y7mmsHMV7XVv00Nos6Ngs6Gk0b69sNbLHzFxHWtuvIl5qo1k1898EW1vL1jufKvYWh9jx9YSLZXueHFD4XiAbFeqGBrWLw/KvULeRSWvAJARjLRbFdbqLRtLG8WUOlbp7pWKZH4kDreT+SjUBVunc4j4jeLF9qYn27gUbTxmZRx8Yh3RafrpRRqQdrgCfL5UOLDXzq1jDi0WANG9FkfPbu+JmNnYiIBtN4LgpZDo4NRDQZuaT2ytc0TQfPVitoNG2UqiZerFW79vMddzeGWq1beHKEGOr1mRRikaBwWTgk4dZ8tmvjoZPJJjVEtOBgpCyJGN+XpLG6VUO+tLuuKddOv66p6RYW14O9yULFwPJm7VSvd+/qUHstdH0m3f59iC66yZFYO+6fS4UR0XYLQ+5dn3iej6puwXI8OK6HXPLgRHIiorMykokgpLb2xd+w/2E7Lp7u2ad/tlI5r2Eey2ZRx0ZrX3SjoGOrdDYV9VVZxO09c+Y789n2GoDospAkERPDu8kCU8MHF8/pd5mEBtN2YNkuRFFAMjZ4qedr+Xp7fbiyVUep2v8dQc8KV52X2EarpdhIpjedOJKxECaGoljNN/BwsYRP3hzpyTiIBtnTlRJWt+rIpSK4PZ/FcCYCUQiSOlzX69i8dRwPnuefavIxO5bEaDYK03Lb1f32V++zbPdUHT8W16tY3KgiGQvh7pUsxD5J+y5UmijXTMQiKg/CEV1CI5ko4ncVOF6wkWk7LpQjBDUc1+uoWGR2oeLp/vtRSJFwdyEHy3bRNB186/4GJEHAW9dyiGinW6y9XK9gaaPWd/fky8x1PaxtN+C4HobTEWiqhM1iA7lkGNKefx/LPpvqg3PjSYzlOucC3WZaLpa3qqjUTKQT4TOvNk40CHauadfz4ft+u6LKzt9XGyaG0hGoioCJXByxiIzF9RrKdQObRZ0dbYgGwP619b2rQ4hFVMiiiOXNKn7wOI+GYWMoHcbsWKL9dY7j4cNn26jpFubHk5g84vXuuh5W83W4no+RTKTjgMZwJoJ0IgTPRztZmIjOj+V03g9KVQMv16rwfB/3rg4hEQnWebrpYKukw/N9pOMabMeDLImwHA/vP95C03RwfSaDkUwEv/CVOyjWmkjGwwirvK6JiCgo9vd4qYSIJuPe1WG8dXUoqOZZbmJxo4aRTKRjr8ey3Y5ucd2Ic+7Y2b/q+FlvENFUfPnz86jqBl6s1vD+kzxmRhOY2TNXpvMlScHBQNNyoSgSJFHAo5clbBTrGM3EILamIJ7vo1Q18GQZuDadPlWM0bRc5MtNbBYbCIdkxCMn358EgLtXcrgykYDnAbHI4B2EIjqJSt1EpW5hJBvBcCoMLdR5He2938uyhNtXsoiHVYRV+ZU9o3xJx6PFElRVwtsLOaitiver+TqerZQRi6i4dyXHQ8NEl8BmUcejxSLCIRlvXRuGeozr3jAdrBcaEAUB40Oxjj15VZFw90qwL64q0ivnn3TDwQdP83BcD1fGkx0V97s5f+2m/XNf03LO7Ge9c30YV6dSADjXoctrYiiGoVQYAAa2gFU6oeH6dBqG5WIsF4XteDjl0aBzZ9ouvvHROkpVAzNjcUyPXt69bCZxXGKbPe7EAQA3ZjNYzTdw/0WBSRxEx7S8WcM3Ptxo/bkOQQBuze1mTUuSiGxSQ6ESZCrmUuGuZI9qqtzRYnA4HUG9WQF8QAtJSERPPivYLOr4w/dXWxsBNbiej3evD596zKdVrpntrPxCxYCA4FALEV0ew5kw1vIeVACJqIpw6GjTaE2VkIipqNaDrmPD6dPdOyr1zvsREFQcEUUBsiTi976zDN0MAjuFqoEv/9D8iX/WRqGB//X+Wvue7Hk+3umDe/Jl93ytglI1qFL34GUB+ZIBSRSwWWhiKB1GOh5UShxOh89sDPvnAt1Wqpp4vhIcUitUTNycTZ/ZzyIaFLlUGIVKE4osIh5V29VGhzNhvP8kjw+fbqNh2CjXTNxbcFCoGjAMB1pIxvJWHT/5mRnkUpy/EvWz4Do34Hk+ZElEJqG1n7dbpSYWN6rwfaBYNfDOtd0Y2ncebuLpchlAECf46c/NIZ14tXLyfs9WK+3Kt6WqiXtXc5Cl3Q1RRR7MzQuiiyCb0LBRaMB1g2IsHz8vtjf0t0pN/OwPz0MURRim076OfR9QWl25/uj9Vaxu1QEEh6X+9A/PI6KpGM1e3pb0RETUqapb+L3vLsNtFQgwTBc/9PYE1rcbKLZijqWagXsLufa8MBZREdZkNI0g9jhyyjjnXiFVQjKmonLMGKosi3i5XseDl0UAwNJmDVpIZiGuHhIEAVordv50uYRvP9jdx7xzJQNBAAplA7WGhWQ0hMdLJdyez3YklR+H47p4+LIIx/UgIIiV35w7XVeW0xZGIhokumHj0VKpnaQnQMDUSOf1mE1q2CrpcF0fqVbSlapIkCQB2WR4z2s5+J3vLMNxgqIzdd3Clz45jXLNwO9/d7l9kNqyXXzmztjZ/3JE1DN13cLvfmepPdfUDRtfeHfqSN/reT4eLhbbBazqTbujewQAiOLufGO/3//ecns+u5av49Zstr133q9zxFwqjK1Ss12UN5c6uz1egMkbRMDgJm/sMC0XNd0GAGxXmsdKlOsX3/p4o72W3yw1cXMui9Hs5SzuySSOS8r1fGwWg/ZbvXzz35zN4ne+vYyHL0s9GwPRoNoud7bQ21mI7HVlMoVcKtjMPatq2UFLVRmm7SIRUSFJx5sYVOomag0Tj5dLWN9uwjTddvvDYuVs2gQel27YHR839n1MRIOtWDVgWA4yce3QgM94LorNog7LcjE5HIcgHC0pThAEXJtKo9qwIEkC4qcMijSa9oEf13QLm4UGynWzveAs10/Xjr5QMTqq6xUOeM7Q+VrfruODp9uIaDKyiTBKVROO60FqlbGTZQGu50GRRYznBveAVtMMqow7TvC77AQgiC4r3/dh2S6GUhFENBlvXxtCw7DxYq2KUtXAWr6GetNGrWHB933UdAt13YLvAVoIgA8UyiaTOIj6XDyiIp0IYT1fx+RwErIkYqPQgCgKMEwHQ6kIXNeDokioNkwAwbO+uKfFtO8DhWqzI4mjUGnCsj1kklpHV42980rH9WBaLuTw4AX6iS6Kx0slNE0HU8MxmLaH8VwUlu3BcTzUmxbU1gFavWnDsDxENBHRsIKpkTg8zw86Rro+ZBko1XbXgq7ro1SzeBiRiIg6VGom9KaNct2ELAXFAoBgjlhtmHBcH/GICsNyocgSdCP42smhGCAAqiydqiP7foIg4Np0GpX68WOoHftIfjD/7dcDeoPMcT1sl5sQBaGjaJxhOShVTaiK2HGYGwC298WTTcvDW1eH8OGzbWTiIUiSCN8HmqbTkcThOB4eL5fguh6uT6fblfwPUm3YGEqFYdkuJEmE7ZxNd2Kii+S7DzdQqdu4M58N9rr27AMdtAce0RTcvZJDo2kj0rr3600b0bCCpumgVDOQjIZQ0612AgcQdBQEgGLV7KiEvzeOQUTn7yj74ifhej62y81gP8Ny2wkcQGec4k1s12sncADHP5tT2nOPsWwPE8MxCIIAWRJOnbxQ1y08W60gqslYmOpeAbqIpuDuQg566z7LzshEZ6vZtPCth1sQBQGfvDU6kF2LNUVCOq7CtD0MJyOwHA+hAQv/lqomopoCzw8S2Da2G70eUs8wieOSKlaM1oEvAbnkm6vznZVbcxkAwKOlEhzX66j4R0SvNz4Uw/0XhXbQY3zo4MOaZ5W8sVdEU05UJSdol1zG/3p/FZtFHVpIQrVu4e2rOUiSdOjvdN4SsRCEfL39//o8/p8S0flY265jZTOoULqxrePOleyBWff/6/01LG3UAACbJR1f/vz8kds9i6KAVLw7943996NUPIRK3cSjpRI8z0PTdOD7QfW60VNuVo7novjgqdAOsk0MX86s936xvFnD//X9FZRrJnTDxp35HMZyUay0Kux6noel9Xq7pXCtYeOLnzxaVZt+Mz4Uw7PVSrA2EIDJ4f6YDxD1ytJGDZtFHQBahyJy+PDpNpZbz6+VfB3wfdiOB9N2kUloEAQBtUZQwVSSBIzmeICFqN89X63gjz9YBwAsbtQwNRzf3UgVAEUWocgiJEnA2J6CLOO5aLuogyyLGM3sfm55s4b1VuB7o9DAnSu59lwhFQ8hXwoOvIVUqaubtkR0PN/8aB1PlsvwPB+//70VfOLGMAzTgWG5GE5H2ocRVVlCOh5CRAuu11Qs1F6vhUNye5N/PBdtd+gJqRKyPYz/ExFRf4qGFLzcqMG0gk5PQ61qv03TwUYhWH82mhY+cXMYumHj4+e7e1HzE0lE491L4NghCCeLoY4PxdpjliQB4znGMLvN9308fFmE3urCUq6buDadhu24uP+i2D60bVguJvbs600MxfB0pRwcEBeCj7WQjKmReDvWLh1woPL3v7eCjUKwjnm5XsXPfH4OonhwLH4kE4GiiO2kEv77E73eb39zEd9/tAUA+OBxHn/pJ69DFAV4XnCTTx2yB64qUsfeWUiRUKg0253jV4U6rk4mEQnJ7Yr3Y61CU8PpMFRZguUEz5yxS1phmagfrG83sLxZa//5zpVc1xIGniyVUG3tSaiKiJAqteeax7nuVVlERJPb847D7kuHGctFsZYP5hHxqIpkTD10HnEchuXg//fHL9u/U7Fm4r1bo6d+3R0hRWLyBtE5+fWvPW4Xzn6+Wsb/42du93hEx2fYLkq14J67WWogJI+84Tv6z/WZFBY3qhAhQBSAm61z5JcRd+cuqY1iMGEZTkeOXTW/myaGYohHFNR0G89XK7g23b1MVaKLbiQTwY++N4P17TqimoJ0IgTX9Y50TVcbFhzHBQRAU2VENAU13YLn+UhE1SNXmD+tnSrxQUZ+0KI1HdcwMRzHwlQKs2PJcxnHm8TCCm7OZVFtBFmgTOIgujjKeyp/OK6HetNG5oAAydp2A5btwvN9+L6PSsN8pbLYfobloGk6iIUVKHJ3gi4H3Y8WN6qAD4iCiLev5lCqmRjORPHu9eFjvbbjeqjpFkKKhIimIJ3Q8GPvTWNlq450XMPMWKIrvwMdn+v5eLxUgmW7SEbV1uFLH3ev5DAxHEO+qCMRUfH+020YlgNBELC2Xe/1sE9sZiwBWRaRL+kYzUYvbdtMoh17n1WWHTyrXq5V4XoeZEmC63qYGolDkQSEVAnjuSg+cWME5bqJSt3EzGgCEU1BqWYgrMo8qE3Up1a2au0/W7aH1Xwdo9koRDFYJ1+dSqFcMzE1EkcyFkK5ZkKWRbx9bRiJaAjVhonZsQTCIRmlmoGQInXcP2zHg27Y7fXs7FgCsbAKx/WQS2mQxNPHAXzfR7VhQRAEJKIDVvaJqIfWW4cUG4aNWsNEtW7CdjwYlgukgTtXcrBtF6GQjGuTu7Gy+Ykk4lEVnucjm9ytiH19Og3TdBCJyLg5k4X2murVRER0cdR1C44b7PGIh8zt6k0bjuOhZliYGomhUG5CU2VEW4foNVXCaDYSvE5Ehe14aDTtjgrq5ZqJXOr1cdHD7MQfNVVGuEtr01tzWUQ0uT1XTsUvb/Li/vhut1iO1z5ICezu7e28n3aUqkZHEsfUSBx/4q1xLG/WMD0ax+RIHAAwmo0ipEhotqqA7z+wuHOOAQAqdQu64SAWCeY81YbVUUk7GQvhJz8zi8WNKqJhBblUGIbpMPZBdIjF9Wr7z6bjYr3QwO35bDtuuLez52FM24Vu2O3CEEDQGbRpefjJz83gyXIFmiLj6nSwdhFFAZ++M4LtioF0XMP8xKv7/+vbdTiuj4mhaFcOWxPRwcr7OnfWdQuhN+x3v06+pKNh2BjJxtoJHEAQ2/yx96axuFFDOCQf6Szg3rnsjdlMRwew4/jhtyfbHb2uTqdPfU+ptOY9tYbVTuAAgLX84O7DEl1m9abVTuAAgI2CDstyoQ5YNw5NlSCKApqmg+mRGEzHgzpgWzI/+t4MYpqC1e067i7kcG16MJM4bMdFvWmfag+eq9dLarO1MTSS7W01TlEUcGsui29+vIEPn24ziYPomEYyEYiCgBdrFZRqJsIhGbfmMq9N5Fhcr2J9u4GlzRpURcT4UAyaKsEwgwVHIqbi+nT6XBI5giByE/GoilLVhCQKiEdVfP7uGMLh/ppdxMIKYl1sD05E/SGqKajrQRtWQcBrNg995FuLuZimIKa9fhpd0y08WizB83zIkohb85muHZzZfz+K7tmQy1cMxFsbWKv5+pETLxzXw8fPC0HwSQCuTCSRTYaRS0WQS7F6ey95XlDprtYwkS81kYyqiIYVqIqER4slLG3WkI5rUBUJpZqBZut5PjHg3SsmhmIdm75El1kkLMO0g2tbFIPK+k3LQaVutQN0nufDF4PuSfWmgxdrVdyay2BuPAnLdvHRs23YjgdBAK5Np5mUTNSHssnwbjVaUYDpuFhtbQZOj8Qxe3MEGAvmBg9eFtFoBnPY6dF4+wCE63q4/7KIZuuAlbAnNCCKQsdcVxAEDKVPvkl7kKcrZZSqwcbmSDaCmVEmARMdRTIWwupWHVXdQqNpo6pbSMc1AEFsThYFaBEVrufj2WoVuuliaiQOQRAwnO5cr71Yq+CPPlgDfCASknF7bqgHvxEREZ231Xwdq61urYmoiuszr+7x7O1I7Hoeag0LoijCdj1orQMrsbAKyw4O5YuiAE2VOhI4ACB6wn0S2/Fw/3khWN8KwNXJ1JEOCx/F7FgSGOvKSw2s/fHdhckUMl36/6tIIlRFbL83duLR4ZAMQUD7PbL/vaEbNvJlA6oiY6tkIJeKtJNL0gkNh50KSLWS1oOfIUFTZfh+UORm54DoxPBu7DCd0BANK/j4eQGlqsnYB9FrZFMaitWgm6coBGcNwiEZ4dDRYvH1po2HL4vwvKDYmabudgSMaDIimoq3ru6uQfKlJl6sBd06wiEZM6PxV17zW/c38HixBAAYzQZFLInobETDMmp68Cx9/b74m91/UcD3HgadfeJRFVPDcThuMFcIqRJSce3IybVr+TpWWnPZeETFjdn0iQu8ybKIW3PZE33vfs9XK+3D3hFNhiQJ7Y6o6RN0kCOi3gurEqIRBY3WGaFEVB24BA4AeLRYxA8e5wEEXdg/cWPwOnEAwGfujfd6CKdi2i4+fl6Ac8o9eCZxXFI7bWX7oart3YUcvvnxBj54to0/+6WrvR4OUd9zXA+O67UPA2+V9PbnmqazZ6P34O9d3qqh0bTRNBxYtgDH8fB0q4bJoSBoUq0HGeT7swMdx0O9aSEWViHLJ8tWdz0/qByoShAEASOZYKP5yz80h/efbEOVBHzurYm+S+AgootraiQOWRZhWi6ySe3QYNXsWBK1hg3b8XBtOgXXP/DL2vKlJmzXg+t48HwfGwUdE0OxVgeFN9t/r9/L83xYtgtFkSCJQQUSz/dRqhqo1JV2EsdmST9yEkd1b/UQH9gqNt/YaYTO1s4z07RdNJo2xoficDwftYaFm3MZmJaHasOE43rY2K4jFpYxko2i2XQgigLmzrCb1d735/73IxF13/x4EityHbphI5MM4+lyCfMTKaxv17FVbOLz98ZRbVgo1w0sTKQABNdpoVUBc7vSRKNpt55BAvLlJg8yEPWh2/NZWI6H9e06JodiqDQs5EtNSKIAbU8CsW7Y7QQOANgs6O34Xk232wkcAKApMlLxEGzHw3A6DEUWYVgOFEnsemdey3bbCRwAsFXUu5LE4fs+TNttj/l18+Sj2pm/qIp0aJVqorNmWA5sx0MkJOPzb01gLV9HWJNxez4L+MHBSy0UFF1RZQlLm0GSlyAEscCpkVcPPwHAk+US0Fqv6qaDla1aR+Ek1/Vgux5CinTiAi6G5UCWRMiS2JXXIyKiwx31PrtZ2N0nKlQM1HQLiWjnum+ruPs1lbqFhakUChUDqixiPBeF5XgYy0UgisFBhKmRBBRZguv5mB1PoNawEA0r7X2d46rUTRiWA8f1IIkitkp615I4KPj/2xHfLeldS+JwXA/zE0kUKgZEQcD4ULD+0FQZ12eCStmqImI8Fwvm71YQK9wuN+F5wcTEdj2s5euYn0hBFIX2e1sSBbie3zG//9InJ/H+4224no9rMyl4vg/LdDsqfG8W9Y4CMMWqAbvVFcT3g/j8/tjH/j1Kosvoy5+bx/9UF1GpW3j3xghGs8crpFTYc10noyEoiohEREUqHmpfc6btAr4PH8Dmns46TdNBTbeR2nfw+dlKOShQ4wfnmCp1s+P67cYZhYusHTeRuUdDbzY5HIcsiTBa++Jv6ty1Py6315PlMjzfh9fau0zGVEiSCN/3MX6EIm17n8ube+apNT3owqXIIgQBUGTpteM4CtN2IQrCkffpd8a3t1q/bjj4wjuTeLpSRjgk461rw8cex16n/Z2IemlvbHDQSJKE/+3HruP//PoLyJKAH//0bK+HdCJbJQMhJdgvgR90el6IDN5Zy0Ffo5WqRrs7pe/jxHvwTOK4pNpJHCcMtHXTvYUcAODBiwIc1xvIGzzReSlVDTxdKcP3gUxCw8JUCqoiorGzdhDwStvhHbph4+HLEh6+LKJUNeF6HpLxEERR6FiciaLwSgBENyz8n99Ygt60EQ5J+LHPzCJxzIe/bth4uFiC43iIaDJuzgYdQ0YyEUiiEFQO9wHnTSejiYi6SBSFI1X7X96ste+/tuviC+9Ovfbrfd/Hy7UKXNdHw7BRrZvYKumYG0u+seJxx70+qWFhMtX+nON6ePCiiKYZBK9uzmaghWQMpyPIJsOoN+12BZCQfPSKAeq+Z4eqcD7WS4bp4MHLImxndyPT83y4jg9FlvBkqQTb8eH5Hp6tVOB6Pop1EwuTyXbyhhY6m4oRe9+fyVhQnXH/+5GIussHUNUtNA0HL9Yr+OhZobUeCGFhMomljSperFdhWR48z8c710YgigJUWYJu2HiyXMbyRg0hVcLkcOzQ9QIR9Va5ZuDpcgmm5cI0g6RM3bABAchau4evFEXqqHYb2lMlSlXEoHB/63NaSGof9A66e5VQ0y1IkoDr02nEuhjUlySxoxrd/vnlSexU293pPDScCWOzoHfERI7Ldlzcf1GEabkIKRJuzGV4X6Rz92yljPef5NE0HYzlYvjkzRHcuZJrH7wURQGzYwlIkohCpYknyyW8/2QLrucjndAw+5oEqZ2utzv2VsTe2zEyEVNxbSp97ESmp8tlFKsGBCEoELVZ1E/1ekREdLjj3LfV1uGNfLmJcs2EKALzE6mOhAtVkdqdFBRZRCISwXA6guWtOp6tVPBwsYREREFNtzE5HIciNwAf7fv+wik7Z8iSiJWtOpqtue5b0dyJX4tetX/+3a057t7K2JMjMYznOmPpiaiKRDRYV7iuhwcvS2g0bciyiEzroLZlu1jeqqFWt9A0XUyNxPBstRIUpKiZGM9FkU5ouDqVgiAIiGgqPntvHGv5Ol6u1QDUMJqNdK6D3vD77o9v7+yROq6HaFjBjdkMDzvTpdS0HAyno8glI0Gihe8f68Dc/nvNxFCsozvgs5UyVrbqWNuuYzgdgef5iEdViIIACAfvPXmuj/VCkOyRiKkdcY5K3cT//NYimqaLWETBj396FhGNexA73FYn90bThiyJuDGbfuOhfLrcRFE4UoIFELy/Hi0WUdeD99f1mXRn161W4pXv+wiHZKTjIWSOWCBw/3NZlsV2MqYgBAlg22UDEICp4TgqDRPVVnzw2nS6Pfc4ihdrFeRLTQgCMD+RPHIRQ1EIunrsHM6VJRFjueiR//+9juf5eLxcav9O12fS7SKNRP3M9308WS631pwCFiZTryRnDoLvPdzCaj6Ye/zgyTa+9MnXn/3pR67roVg14PnBGaL9RRwGwWHnSAdJt9bhPfutP/roo179aAKw0cp474dOHDOjCcQjCpqmi6cr5V4Ph6ivrWzV2wHKYtVAXbcwO5ZEOhFCNKxgbix56MJ8Ld8IEqVEMaiKEVMRj6hIxUL4/N1xJGIqomEFV6dSryRTPVwsQ29V+myaLu4/Lxx77GvbjfYCRzccFCpG+3PLm7X2IZOtog7DdA56CSKinlneqEKRRMiSgGrdQqGiv/4bBCAWVoMD+G5QcQg+sLxVe/PP2qrt3usrBup7Ki3nS000W/dI2/HagW0AkFqBq1hEQSKq4up06si/XyysYHYsgWhYQSapHbmDB52NjaLeDla6no9ULASrVYFAFAHXC9r2Vuo2FFlCOhFCSJEQ0eTg3z+m4upU+g0/5WT2zkVerFXbrddtx8NG8Q3XBRGdyHa52a6s/3KtGiRoKBJ0w0EqqSFfbkIUBKTjKsp1C5btYiwXxVA6jLXtBsKqjGwyDAGAKktd2WQgou776HmhfYC70rBQrlvQVBmRkNyxRg8pEq5MphANK0jFQ5ib2O2+FdGCuEA0rCCdCGF2z5yuVAsqMgOA6/pYzde7On5JFHB1as9c9AQJFvtV6hYq9WDMnufjgyfbr8REjmur1Gz/fzZtF5t75tNE50E3bCxuVKEbDnw/iIOtbtVxdSqFRExFLKLg2nS6vWG1slmH6/pQFQmO60MRhdcWQXrv5gimRmJIxUN469pQR9GC1a16u2putW6hUjcPe5kD1XWrPf/3feCDJ/nO12sc7/WIiOj1jnPfXphMIRqW0TQcjOeikEQx2HfZY34iiVQ82Et69/owZsYTsB0PYVUGEHRPeLleg2G5qOoWVrdqWGvNGX0f7YP8J+V6HmIRBSFVQlSTB7LKZj+LR1TM7InvHta16zg8z+/4d1/Z8548SKFitLsGOk7QaWMkG4FhuUhEVCRjKpqmg4+fF+G6QXXrRtNGvWmjXDM7Om24+372RlHHlYlgHZSMqbiyZx0EAOmEhsnhGKJhBUPpMCaGO3//te1gjxQAGk0bhUoTRJfRan73Ot675j6qkUwEI5kIIpqMsVy0I4EjuLYMFCrN9jUeCytQZPG15xgmR2JIxlTEIwpmRhJBwkfL/eeFoBAkgLpu49Fi8SS/9oVV3HvfdT2s5RnjoO4pVQ3U9T3vr+3OueDEcBTpeAixsILpkTjkYxQX3Dm7BAT3jqCbT3BeaXYsESRwAIAPPFosoronPrh2jJhm03SQLwXPfN/HK/Pj1xGEYN89HgnOVV2bSXdt/lqpmx2/0+op59lE56WmB/N2oPXe7fIew3loNi18/9FW++PvPNiAtdPRcIAMpzVEwyrCIRkjmSgOX6X1r/V950i395wjHRSZfevQk+7B9yxF+c/9uT+Ht956C3/5L/9l/NRP/RQUhdnA52mnre5ItvedOERRwJ0rOfzxh+v48Ok2bsxkej0kor61v8qSKAYt/w47qFmoNPFyvQoA7YoyqiohJ4cxlosiqslwXA8PF4tIxUOIaDKeLJehSCKuTqfagZT91WhkSYDn+Xi2GmTYRrRgg/l17Qf3v8be36Xj9xJe/T2JiHrN9jyU6ya81qkxVZZQqhl4sVqFDx8zownkUruVO+RWp6FsQoPrVSAguK9J+4I7TdPBk1bF5eFMBDOjCUiiCGB3obj3lrj//rj/3hqPqLg1lz3R7ziciWC4D7q0EeB5HpY3azAsB1FNwafvjiEZU7GyVcfiRhWm5SIWUTGW8+C4HlzPg+N4iO359zdMBx8+3YZhORhKRzoOcZ7G3vegIAgQRQGm7WItX8d2WYcoANOvqQxMREfnej6erZSxuFFFtW5hfCgKUQzaE3uuD8vzsJ6vw3Y8+D4gSiKS0RBuzGXaG6iSKLTacjswbBem7cLzPEgiq84T9Zu9h7IFIbh2LduFKAqvHJTKJDRkDqmCPJQOH9j57dV5ZPdr+5iWC91wIAoCLNtD5OSFmgG8fsy+72Nps4ZG04YWkjGWjWJ5swbX8zE5HDu0cI0oHB6bIDoPoih0bPqLogBJCrrk7sTFPW+nC42JzaKOZEyFpsrQVBkTw/HXdt1TVRlfeHcK5ZqJ52sVfOfBJqZH4xhORw6MKx537ACwUWigplswLBepeAhK66DG/uvrtJY2qtgs6lAVCVenUqwoS0QX2kahgZWtOiRRwJXJFBJR9Vj3bS0k4/pMBg3DaRfM2v/1mirj2vTuXtKT+xt4+DLo+Lszf9z5HlFo3deFQ/ZxjqhcM/F8tQLP95GMqUjHNaTjwSSxG53bqNPO4epu2rseEQWh/ZZYzdexvt2AIom4MpVCvqTj+WoFxYqB8aEoFFmCLImYGU1AQFCpe4cstWLlrfeUZbt4sVaBaTu4MpHC+FAMAtDuvFGumyhUmsH1MXF4td/xodihh2b2x9HZhYMuq1fW2ZKAF2sVLG/WUKg0MZqNYnYsibHcIWtqUTi0CFj7GdL6b1W38HytitmxBG7OZg6dzyeiIbx7fST4QEDHekned/Zg5/5xEr7v49lKBaWa0TrbkGqvZQbV/tAOYxz0Jobp4Mly+dC9w71z0myyM7C3f80f1VS8dXVo9/PHeP9J+67lSEjGVCsB03E9/OBJHvliE4IIpOOhjvvHcX7O/jDFca+RWFjBzbmDzzB6no+nK2VU6marWO7rz0u9bhy8dmlQvPLeHcDEfEmSYNtuu5BqIqZCGsDpgOX6MC0Hjue3OnIN4r9F5z1zEN9PwOvXoUfVs04c/+gf/SN4noe//bf/Nn7kR34E/+Sf/BNsbGz0ajiXStN0UG5Va+mHThwAcPdK0DL3g6fbPR4JUX+bHUu0qnALmByOvXbz0vN8PF+twHV9uK6PpukgoskYz8WQSWhIxUIIa3K78t/6dgMPXwatuU3bbSd/AMDNuSxGs1FIkoChdBj3ruSwXW6iVDXh+0F2/Jsy3ncyD8XWgm/vom9+IglVESFJAmZGEwzeE1HfScc0SGKwcIiFFciKhOerleAAvevjxVoFbqtiCACM52KIR1SoqoRrU2lkEhpURcT8ZGeFsMWNKgzThe8HSbbVhvXae/1QKox0IgRRFBCPqKymfkEJ7Q3RoMU4/GATNhlTMZYNKttkEhoWWhVgBEFASJUwtCeRaGmzhqa5W933uFV2D7P3/Xl7LoPRbATb5SZkSUQ6oWGjoLerfBPR6eRLOso1E/GICkkSUKlbeOtqDpGQDM/3kUmG4Tg+JkfirSRr4L1bIx33gsnhGBzXR6PpBK8jCqeunkpEZ+Pta0PIJsOQJAHjuWgQsxMAwG/993TScQ3DmeAQd0STMTnS3Xmk43p4sV6B5/lwXA/PVyunfs1EVMVoNhhzOCTj03dG2vOQRFRFXbfh+0DTcPDt+xuwHQ+e52NpowbTPrh61nAmglQ8mE8nWnMrovOkqUFr+GxKg6pImB1LYHpfpeyt1hzA94F4RIFhuhjNRjGajSAWUTA/kXrjz3m+WoHTuiZerlfhuB6mR+IIazJEUcBINoJk7OADkIeJaAriEQU13YYsiZgdjaPWtE/8eq9T0y1sFHT4fpAgtrRx9GqZRESDxrSD+5zn+bAdDy/WgnnUce/bsiRibiwJSQqKf+3vVLDXRqGBx4slaKGgI0a5ZiCT1HBtKoVsSkMyFsKVyRSuTCQhikHcaW78+EU7nq2W4bjB86hUM5FJau35aDc6RdDZEkUB8xNJyFJQUGJ+IglBEKAbdrtTjGm7+OjZNvKloOK+qogoVAxEwwomh4M1x/hQECsXRQHpRAj3FnKIaDJGslGMZCLQDQexiIqQImNlqw7dCOYXVyZTEISgYN1IOgLX9U+8zpgY2t2jzKXChybFE110M6MJhEPBs2UsF4XjeMiXmtgo6Gg0HWwVm0GBqVZH+OMIh4J7+0gmAkUWoUgikjEViix2nDvYb34iCUUOzgnMjiU6DkHfXcghlwpiJaPZKG7OnqyIGQBslw0Uq0b7bMNFiJFmEhqG0mGIotBx3yU6zP69w52K+sCrc9JSzex4f+2fu82MBUUmRFHA+FAUsfDRCy+8+bkstOOh0bCCkZ34oCa/EkN5HU2VMT0ahyQJCCkS5sYPnx8fV77cbMdu6rr9SqeS10nGQif+nYh6KRZWWgXnBGghCTNjg/felWURV6aSkEQRkixiYTIF8QwKXp21StUICtD6wXnQ5gnmbr02MRRFLBI8CzJJDbnU5V2j9awTx8/+7M/iZ3/2Z/HBBx/g3/27f4d/82/+Df7Vv/pX+OIXv4i/8lf+Cj796U/3amgX3mYxqHQRCyvHmkSdpXsLQRLHg5dF2I535OxUostip8JktWEhFQthejT+xlZ9PtDRLkuSRNyay7YzY++/KOBbH6/Dsn3cnM3A8334e6p7unv+rMoifvS96Y7X9/xgQWdZDh4slqDIIt67PXpoBXhFlnB7/uDPxSMq3r42/Nrfh4iol2RJhKrI8FwPIVWC67gdFZF9v/Oeq8jioZU59vK9zo89z0ci2lm5ZC9RFFCumVjbbiCb0HDVT53gt6F+JwgCJod3gx6L6xV8+/46VvMNZJIaZkYT+OTNYWwUdLx9bfe9ouwpE7HTNWanVbDv+7hzJYfoKef/0bDyyvvTdrx2S2UAr1QLJ6KT2VvpcjwXw0g26NiUTmio1i00mjYeL5cQVmV84sYI5iaSSERV/O//5UOUaybuzGfwJ9+bwcJUqmONzWuUqD/Jooh4RIHluIiGZRSrJopVA5IoYCznvfkFjmB2LNG17lz7+fuCEDtzkdOaHk10dPnKJIJEtUKliZq+e4DLMF2sbAUbzZlkuCO+sZckCh0VqIl6oWk6cBwPyZiK6bEY/vij9XZC/1tXhzqe1eGQgtmxyKHVbg+z9xosVQx89GwbsbCKm7OZjs4/xzWcieDqVKr9cSoeOpNrav98xeX8hYgusP33vJ2PtZDcLoJ3VId1Zdurplt4tFjEdrmJREwNin7FQ/jpz80d+PX7i8jUdQvf+GgdTdPB9ZngufLx822oioTP3BnrSDbpmBL6weHhhUnuAQ+Sg7oA7n8su64HUZYgCALGcjEkYyquz+zGxmXp1Vj5nT3v7Q+e5mGYu0nYO6+fSWiIXxtCvtTEg5dFiIKA6zO7844HLwt4ulyG5biYHk0gHdMwO544cK6jKofvURL1u1LVwDc/3oDjerh7JdexNnAcD9+6v4F8uYnRTASfujXy2oOI4ZCMuwu711+h0gSA9hp6Zx1x0jX9WC6KsVwUt+ctPHxZbP/9/medYTp4uVGF43iYGIrhnesHnxPQVBk/+dnZE41lv/2/00WIkQqCgLnxZFcPptPF9sp1sOdj3/OxWWpgcb0GWRJwez4L3/exmq8jEVVxdV+hwoim4N7CwfvZbyKJAjRVguf70FSp4+yT7/tIRlUkoyqAVgeg0QRmRk8W0wyKYnS/iMthc/ijOs3vRNRLk8PxjnMMg8ZHsO/quC4ETxjY7g+SLCEZC8HzfIRDMmynO3tI50mRpUPPmF42PY+S3Lt3D//4H/9j/P7v/z7+xt/4G/joo4/wcz/3c/jyl7+M//Af/gNMszsVY2nXRqEBABjNdred6mlMj8aRiKowLRdPlku9Hg5R39kqNbFZ0NE0HGwW9XYy1utIrQruO6ZH4u0EjnxJx/cebgEQUG2YeLRURC4Zbh/mEEWh3a7wMLlUGBFNxqOlctDdxwe+93AL+dKbx0ZENGi2yzoahg3dcrFVakISpeAwWWtNNzEcO9FBmInhWPvenIqHkIypr/36x0slPFosodaw8HK9ig+esYvZRTSajUBVgveT63l4vFzGk+UyXqxV8fBFEU+Xy3jwsoShdAThUJCXH1IkjOyZ308MxSCIwGq+DlEMAhKPl85mnj0x1Pk+TkRf/z4moqPZf43vbDRMDMUgSQKknbbFAtAwHDQMG//jG4t4tlJBoWLgWx9v4jv3N5FLau0ELkUW2cWJqE/94MkWXq5XUWtYeLxUxkfP8mg0bdR0C6tv6HzZD4L7S2tDVMCZV5BLxzXEI8GcQ5ZEJOMqdNOBYbnQDRvSALYPp8uhrlv4+gdrqNQt5EtN/ObXHmN1q45aw8KHT7exsll77Tz/qKZH4oAA6IYNx/Nh2R6KVQPLm6fraLH/2ps4o3lFIqoiFQ8OAYv7YpxERBdNOCRjOBPc6wUh2DM9K57n4/FSCSFFQjSioFgxIEnCoQVlDvKNj9axUdBRqVv4w/dX8bvfXmo/1/7og7WOr915HgHBwV4W8bsYYmEF2WSQ2CGKAm7MZtrxQEkSMHHMQ11Te/Yvs0mtowil7/lY3qyh3rRRbe6ujfIlHd99sIWtoo6nyxX84HG+K3Mdon70Bz9YxXar4vvXP1yDYe1WWv74RQHPVyuoNSw8WS7j4eLx9gDScQ2JqIpcOuh2kW11dtjbIf4k4hGlnQAmisIrFfyfrVZQrVvQDQdPV8qwDumm2U2MkRIBk629BQBIxFSk9iTfer6HpfUaGk0b1YaF+88L+OhZAbWGhdWtOr7zcKtr41jJ11GoGGgaDla26ijVjPbnFFnCWO78YownNZQOI6wFsRtVEdntl2hA+J6Lb9/fQlUP7nXffrD5xiLa/Wh2LA7X9eG4PqKasnvfpIHUs04c+6mqCk3ToCgKfN9Hs9nEP/gH/wD/4l/8C/zTf/pP8fbbb/d6iBfGRiE4YD3SRxMIQRBw90oOf/TBGj58us0sK6J99gcu3hTI8Dwfa9t1GJaL+fEkkvFQR3C83gyqZcuSiJFMBMl4CLfnsxAEAZbtQhIFSK3DyPmSjvsvCgipMt6+NgRNlaEbNjYKOqJhBZmkBkUR29mp9aaNIRa1JKILRoSIcCjoxKGIAj5+UcDceALvXBsG4EORpVe+Z6PQQL1pIx0PIZs8uAJeIqrinevDcFwPIeXV19iv0bQ7Ptb3fUz9zXE8fPBsG5W6ibnxBGbHDq6OpKky7i0MwXY9FMo6nq1U4LSqJ1iOh3LdxNPlEmbGEhjJRLBdbSIVC0FTd5d38YiKewtDsKzdLne268Hz/PamaLckYyG8c20Ijucf6X1MREejyCLuXMnCcjzIooCtUhMNI3iuXJvO4H+9vwpVFjGUiiARVbFdaiJf1uF6HiRRhO16aBh2qyNfBpbjQZHErt8DiOh47r8oYLOoYyQT6Yh/7a08a7seZEnCUCoMQRCOdd1WGxa2SjpCioTxodhuwtc5yCXD0JsORBHtw9dnJTgslg7ukZKI95/kg/m6F9w/g06/nJdQ7xQqTXz8vABZEvH2tWFEWhv7huV0VCWvN+12hxnH8fB4uQTb9XBtOgUIwomf3cOZCDJJDfmSjuXN3USw4x6O8jwf64UGmqaDbFJDOq51XHtndY8RhKBrjmm7kPfEKYmI+tXTlRKWN+tIx0O4t5B7bRX0g8yOJTCei0IUhVN1THoT1/Phuj5EUcRbC0MwLAefvjWCUOj1h3X3/n6NptX+e9sOYk1aa+pnGE7H9+08j3z/4PgpDa4rkylMjezuJ2YS2pHnB3vnF7lkGImIimwyhErdwtJmDStbNdyezyKXisByPETDCrSQDEFAe17UMIK4+E63LssKYqfmORwEJzpvTXP33uq6PgzTae8F7N8j0o3j7RmJYtDhZmo0jvV8HY7rIxFW8fUP1uC4Hm7PZw/d33odQRCwMJV65dzBjr3rEt8HHNeDesZ7C+cZI3VcD6tbdTiuh7Fc9NRJMUSnsVXSUW1YiEdUjGQiePvawfvSTdNFMhZCLKxAEATU9sz5AEDfN887jf2xCdvurCAfCytoGBZkSUQsIqNSN5EvNxFSpI7Ccr0kSyLuzGe570I0YOqGA8/z4fnBfce2PRiGA03rm2P0RzKWjeLqVApNy8bCZDo4S8I6mwOr5+++hw8f4td//dfxW7/1W7BtGz/5kz+JX/3VX8W9e/fw8OFD/NIv/RJ+6Zd+Cf/1v/7XXg/1wtjc6cSR6Z9OHABw72qQxPGDJ3n8hR+73uvhEPWVbFLDVkmH6/qQJAG51OuDJStbtXbCVrFq4E4425HEMZGLIh5RUdMtCKKAW7OZdmbp3gCJbjj4ne8stw+O1nULX/zEFB4ultp/F9WUIFjqBwdGJ5jdSUQXkKQI0FsLOtPx4NgOljaCql4HtWDdKDTany9WDEiieOhBNkkUIIlHC07PTyTxZKUMy3IhSUEQnAbH9x5v4XGrEtZqvo6opmAoffCcXBQFhEQJw+ko0vEQdMNGqW5CkUUYlotoRMV37m9AVSTIkoh6w4Ysiu3KjcBO5f4ICpWggs1wOnJmQURJEiFxL56o6wRBQEiRsFFotKtJFisGVraCKpTFmoli1cTcWALRsIx0PIR8UYegCsgkw7g2ne54HSLqrcdLpVZXTGB1qw5VFrEwFVynC1MpLG/V4Lo+EhEFI+kIqo1gs3Rh8uDEz/0My8GjxWL7gLjjepgbP9r3npbn+Xjwsthu223aZdyeP9siLXvvbaOZCFa26pDEoJLgThcDol6wrCCeZlnBoYRK3cJPfW4WAJBJaMilwtguNwEAn7gxjO2yAdfzUWtaUCUR+VITuuGc+hqSJRFD6Qi2Sk2YlgtBCNYEx7Gar2N9O9hPKFYN3J7LIhpWzm1ewfkLEQ2C1Xwd3/hwI/jzVpA49/a14WO/zlkfXgWCZNdMUkOxFSuaGU28MYFj/++3twPreC4KQRRQqZkAgKvTqVe+/yyTUqi39r5njxN32L+HGVYlNE0X33u0iWrDxkgmgs1CEz/7hXnEIirGh6JYywfzkYXJFABgPBtFPKrC833ITRvjQxFAAEaOOdchGgQLk0k8fBnsK4xmIx334YWpFF5uVOG6PmRZxJWJ1LFfXxAErG7VUW7dy3//eyuIaDJEQcBGUcfPfmEB6gk7KR32bBvJRrDSSjZPRM9vDX9eMdKnK2VU60FMp1K3cO9qjs9D6olCpYmXa1UAO/vVwVmjg/al0/EQhtJh5EuteMX1YazlG9BNB4IAXO3invRwOoJyzYTvB10s0ondPXTH8fA/v70EsxVT2S4ZmByJteOdnudjZizRtbGcBvddiAZPIqJCEgGzlQSeSUgDl8ABAEubNeRb8eVHi0V8/t5Yj0dEp9Gzd+B//+//Hf/+3/97fO9730Mmk8HP//zP4y/+xb+IoaHddq03btzAL/7iL+IXfuEXejXMC2mjGARFDjpw2EvvtAKaD14UoRs2s9GJ9ohoCu5eyUE3HEQ0+Y3B/I4seD+o0LH3mlJVGT/12RlslppwXBchRUa9aXe0KAaAmm61kzUAoFQzYTtex99lkho+dWsE9aaNkXQYqjp4kxsiojcZy8UgSyKqDROSKMJ0fYSw2xmj2rBQ1y3EIioSUfWVaiS6aXelGnEyFsKXPz+PfElHOqkhEWE6/SApVXfbAcMHihXz0CSOSt1Eo2kjEVXxE5+ZxXqhAc/z8GixBE2VoYVkbFeaEITdzfDGAVW2rkymMJS2IAhBsiURDab9nZgKFQPhkIyhVBiW7SKTCCESVvHJGyFMDkWhyBIWJlOYHO7PVuNEl1Vx71wAwbW8MBX8eTQbxc/80DxKFQND6Qg0VcRavgFFkTByxEIsTbOzwv/+e8dReZ6PfLkJz/MxlA4f6aCB43rtBA7g4HnJWRofiiERC8F1PSSi6kC2QKeLQzeddgIHAJTru9e+KIr40U9NY73QgKZKGEpHUK4ZKFQMrBfqUOUgrtata0iWRNyez6LRtBFSJGj7Dkfpho1yzUQ4JCOd0F75/o5xtGKM0TDj9kREexUrzY6PS1WzRyM5moXJFKrHiBUVK01YjgvTcqFIIiaGY/jcvTE0TRcj2ShEoOO5RpeLYTooVg2oivTGAnQ79u9hlmsmQqqMetOB7/twXBeWI6DWtJFVZfzIu5NYyzcgy2L7fIOqyvipz81hs9BASJGgKhI09dW5DtFF8Mmbo5gaScC2XYwPRTu6PQ2lI/jKD82jUDEwlNYQ0U62B7A3flDXLaiKCFWWYFku9KYFUxJRa1iIhhUkY6ff6xrPxZCMhuC4HuKRi7eG15u79znH9WDZLpM4qCf271c3DBs5HPy8FkURP/beNFbzDaiteKRhOdgs6EjGVKTir8YMTioZC2FyOIZK3cJ4az+jPWbLaSdwAECh2sTEcKzjdyAiOinL8XD36hBerlchCsD0aAKO40E+YcJqr/gQMJwOw/V8hBQJNd1GLHK23dHp7PRsFfu3/tbfwq1bt/AP/+E/xM/8zM9AVQ9eTExOTuJP/ak/dc6ju9g2djpxZPsrkDaWi2IsF8X6dgPvP9nGZ+8yQ4xoL7UVhDyKVDzUrtgpSQJiBwTiVVVGRJPxbCW4Jwj5Om7OZTsSOdIJDZGw0m7FOjEUg6pICGsymq0FXzoeQjqhHbjRS0R0UYznonAcD7GwEiS9tbLx0wkNlbqJR0slwAcgANen00jFQ+3KqoIAJKPdWzBFNLlvKozQ8UwOx9sVbGRZxGju4Pl4sWrg6XI5+EAAbs1mMDXSOogtCNhsVarLxDW09zYEHJootLcyFxENpnRCa3fVEQRgZiyOrWIToiBgKB3BzEQS+WIToihClmVkkhoqDRsPXxZxez7LVt5EfWJyKIanK+X2vHFypDPRKhFRO5J093/+TWJhFbIstgsvnHSd/nSl3K7AuV1uHuk+osgiomGlffAj1YVDHce1vzAFUa/EwiriURW1VmxufzElWRZ35/cAUnENyVgIhuWeyTUkS+KBB610w8b9F0V4XpD9NTueeKVTRzqutSvIBjFGXmdERPuND8Xw0fMCXDe4n06NxN7wHb13nFhROqGhWDX+/+z9Z4xte36eBz4rr51j5XTq1Mk3dr7dTbKZ1KSoRMs2bFMzGmjMEWbID2MMYMAGDAmGDfmb5Q+0DMGQFewxBqZokBZBmqK6KTabHdjx3ts3nVg57dp575XDfFh7r6pd6VSdXOesB7i4p6p2WLtqrf/6/X/hfePP91ZKplocvV/MnTNuTXg5cD2fDx808Pxo/2Ha3pnOhcM1zMlqhmbHppLXaLQtFFkil1bjnLooisfujdRDMVVCwsvMaeIO2bR6bC/AeSjldXYHYrDjpRTDwkMuo+IHIbfXGlEuA7g2qIE9Li/zcHgpr8W1oJQmoycimAnPiWJOY6vej3ORD8s1iOLovVVXn05NerdpsDZw4+mZLrcWy7EobVaXKea0ODc5P5FDlsQ43ngS609CQsKri67KeF4Qu+iEYXjhBjgg6l8yTBcFSGsylaRn80Lz3CLF/+V/+V/47Gc/+9DHzc3N8d/8N//NqY/5r//r/5qvf/3rbGxs8K/+1b/i2rVrAPzn//l/zg9/+EN0XSebzfJf/Bf/BTdv3nwix39RCYKQnRfUiQMi+/jf/+YDfvjJbjLEkZBwAj3DwfUC8lkN6YQmislKBk2VsB2fYlaLgw/DcrEcPy7Orm13sBwPXZUJQ+j07ZGmB1UW+ernF3jv7i6ZlMobS1Hjxs1LZfZaJpIoUi3q9E0Xx/XJZdQnqiJxls+akJCQ8Cz4qbem+XG6hu34LEzmaPddKgWdcl5ndbsTJ68JodWzWZjMc+NSmb7pkksrOJ6P3w+RJQHb8cmmVZRDm0HPD+j2HVRFeuTkdRiGtHuRkt6TUEM6Dsf16ZkuaU1OlM3OyWuXK3i+z07d4I0r1WP/Rr4fsLbdodO3EQSBMAxZ2+1yfb6MKAosTObJphRcL6BS0HHcgE7fIZtWjqgnGpaL7Ty5+7PtRk1laT0pOiQkPGvKeZ1L03kaHYtSViOTkjFMh/Fyhk/fmEBXZfJpFdcL8IMA2/Xp9ExyGRXH9ZP1OiHhBWF2Iscvfm6enYbBRDl9am7O8wLWa10UWWJmLBvv53PHxJFDFFnkxkKJtZ0umZTCzNhoA+Ew3tRU6VQH3HZvXz3atD0cz3/ovV8QBG4slNhrWwgCVAtnU+EF8IOQTs9GkcUjjSdPIkZOSHjWyLLIL72zwJ21FqokcXW+8NDnCILA9fkiD7a6iCLMVLORe08YIggCuYyKQOQCqSjSkaGlw9fKSTm1gzm8ruHGOUKIVLAPD3FMlNNoioTleBSzWrIPSEhISDiGSiHFV7+wwGatRymnn3kQd7gm5zMq0iBvEwQh7Z6NFwRIYjQkq51R3OustHs2YQiF7KjyuWl7mLaHMOjyG95DZEnk7atjNDoW2ZRKKTca5w1jOVkWExfYFxzL9jBsj2xKOZNo3EnnypCe6cYNlcPHHx6qsBwPw/JGzuXJSoYgDOn2HWbGs2RTKvW2yex4hlbXxg+jJvKe6R773qftHyDJXycknBfD8giCgGJOJZ/ReOtqlQ/u17Fdn7eujlFvW7hugOV4aKrEbtMgCMP4ug6CkPbAxf64IcHj7ncvO5em8uTSKp4fUC2mEoGdhOdGLq1ya7FCt++QSyuPPfD1MIY5xYe55A4HNCCKf7uGix+EeF5AIavxlz43x4/v7CGJAm9fG8dyPTZ2e2RTCtPVhw9Mt3s2QRhSzGqEIbT7NrKUxKqPwrDWfFxvQ8Krie8HJ+YnLwKeH3BjoUw+0wNBYHYsQxCEF+5e/c7rU0BIp+fw+dcnUS9ozvbBZou1nR63FktUiy9eL/uz4rn99X7nd36HiYkJ5ubmjvxsY2OD3/qt33ro8MaQX/qlX+LXf/3X+bVf+7WR7//iL/4i/9V/9V8hyzJ/8id/wn/yn/wn/NEf/dETOf6LSrNr4XoBoiic2dL0WfKZGxP8/jcf8IOPdwgHBaqEhIR9tut9Vre7QKTEfnOxcuJwQ+mQnWGza3FnrcV2vU+v7yII4PoBoiAwUU5TyGpkDjVxBEHIynYHWYoGQrbrBtNjWWRp37K41jR5sNkGQFMlXrtceSKNopt7PdYH0/eZlMLNS+ULFzQlJCS8PGzU+nheSBCE/MUHu0xV0/QMB12VjzSTDTer+YxKLq3wyUqTTt+hZzhYrk+1kEKRRV5fqsT2sJ4fREnxgT3s4nSBsdL5Y7U7a/uqyePlNJeesDqKaXt8+CBSFhRFgesLpSThdQ7ub7R5/14dQvjWe5v85S9dGrE39/2ADx7UWdnu8NFKE0kUCIPofkwocONSCUEQqBxoilTk4xsa91om9zfbED6Z+/NBld7hQGfSSJmQ8Oxo92xWtjqYlse//s4yG3t9hBDGyikWpvLMjOXitWF5q833PtwhCEIUWeTWpXLStJCQ8AIxWck8VFglCAL+zfdWY2e3mbEsmbQCYTSo8drlyrFNV74fcG+9jWl7tHtRM/ewIdv1Aj64v4fjBiDA0kxhJKY4SNQAHrkBqIqIKp+tcVCSxFPVQY/DD0I+elDHGLh9zk/m4t+P5wd8+KCOZT9ejJyQ8DzQVZk3lqrnes79zQ6tro3t+nyy0kSVRXabJtNjGQoZDQFwBk47l6byjA+ut8P7yWx6/xo+mD/ca5nc39jP4S1M5kAgFiU4yWUjUrlMlC4TEhISTqNSSJ0YWx3HbtNgebMDgK5JvLZYQRAEPl5pUGuZrO/0KOc1xkrpEWXix2VlqxOL/RVzGtfmS0C057y92qTetmh2LeYn8hSyUdNfJqWQz2rkB64IB+8XQRDy8XIjdpKaHc8yPfbiO5G8inQNh4+XG4Rh5H7x2mLl1FzBSefKQVKajCgK8VDo4cbQvuny0fJ+PnF4LtfbJuu7PQjBstvculyJr5/psRzLWx1WtrrHvndwaP8wN5Fjqrq/vzqYvxYEuHGpnOSvExJOwbA8/vBb9zFtHwR45/VJHNfH80MkUWR1p0s2JbO81SEMQ1wvatxsdW0kSeDGQpm1nW7srjNVzYwMcx13v3sVBjkE4cXsx0p4NcmmlGfSaH1vvRW7iZcLOldmi6ceUzzIIURisytb0VqRTSuIgoAgCAQhrOx06BnRIEG756Cp8qnX18p2h516FMPkMypBGMY5kumxDLPjiYvXWWl2LO4MXKVPy0knvDr4QciHyw3MQSy+MJU/dz3geSNLIpm0wvxk1EeT0uUL2Yv47p0ad9eiPO83f7zJL79z6cI5ivzFh9v871+/QxDCH//FKv+vf/fNMw3qvYw8tyr+7/7u7/If/Uf/0bFDHM1mk9/93d898xDH5z73uWO//wu/8Avxv9966y02NjYIggBRfPQTNgxDDMN45Oc/b5Y3mgBUCzqObeE85+M5zNJUGkUWqTVN7qzUmB1/NS/MhISTGCZMIUqqGJZ75uRjrWniewH1tkWnb+O7HvlcimoxhesFLM0UYkVwPwijBI0XxMl3iBIthxPwu839Y7Idn27fofQQm64o+ePjuAH6CRaitYYZ/7tvuhiWe6oygOv5+H6YNKglJCQ8FWpNE9txqbUseqZLzlRI6zJbez0uTRe4PFOgazjkBrbVjuujKhKW48fJ63bfwbQ9qoVo3W0OVE49P6DWNLBsLx5grbWMczWo+UFI33RotC1Mx0MUovX58BBHz3To9h3GSykk6fxJlkbHwvejolwQhOy1zKQIdg7urDXjBinT9lnf7XNtfv/31zEcTMvD9UOyKYW9pslUNYPtBjQ7Fn3TRZJEVEVCEoXBOQNBCJ4f4vs+YRiiyFJk1T14r57hUm+ZTBxoGHVcnxDOrOZYb1txQTYIQvbaZjLEkZDwDNlrmYRhNJi9sdvHsF00VabddXjvzh6VQgpBEGL1u7QW2QHLksB7d3b5SmEBdZC8c1yfIAxHYnDbjZo+NUXCsj0kSYgHDRMSEp4dvh/geAGm5bLXMrEdD0EU+HC5zptL1ViJttW14+btg3SNaO/segGSJLDbMOIhjnbPxrRc2j2HVEqm1jJPbDS8Nl9is9YjCGGynD5SxOgYUXybfwJxYLTf9+Kvd5tGPMTR7TvxAMfwZ8kQR8LLiOdH+bfdhoHrB3QNm0bLRlVFPD+k2bGxHT9WjfQHbn2VYgrbcdltWXT7DuJALf3ueotSVsf1o+tnmD88nMMLQrg2V6LZtUhp8oUruiYkJCQ8DmEYRmurLD5Rd/GzUmvu1z8s26djOGiKRM9w6fYd/CBgr2VSzOvU29a5hjgsx0MUhGMbrFZ3OrhuQDat0mib7DZVsiktqh/54WDvGdIzHRRZpD+4h1yZKbDTNClk1JGBZMP26JsuPcNBlkV2mwYTlQyO66Mp0oVshnlZGeYVAHw/pNGxTh24ORg3tLp2nEs4eG7pqsz1hRJ7LRNNkSKHjSDEdn1kUWCz1sP1AyRBiHPJM2MS6zs9bMfFdUMCXabTt8lnNHw/qhkefO/aID8aBCGSKGDaHp2+E1+3u01jZIjjYP46DKPPndaV5JxMSBgQ5f3EWE19fbcbDXAAfdPhLz7Y5tp8Gc8LCAfqzmEQDlzBI6duz49cgJVQZLvej2tgEF2TB4c4ak0TPwjw/ZAwjPY22bRyaj3fcX28IESAuBaSkJDwYuMHYTzAAdBoW/hTAV3DQVVk0vroNT9VzSAO7uulnM6DzTaW4+F5QfRfEOAHIaIAK1vuyBDKbtM4MsTh+QGuF6CrEruNqOYehAG24yGK+2vebtM89xDHwdrJ8+S4us6TYLgvOnhvGFJr7deaXS+g1Tvq4JrwatEb9DIM2W0aFzKfePNSmQ+X64hE7uIXkXsbbdodm75tA3lqLYOpCzYA8f0Pd/CCSEgXJ+R7H2zzN75y5Xkf1nPhuXW6hsMswTG0221U9ck2g/2Lf/Ev+MpXvvJYAxwAruvy0UcfPaGjevb8+H4fgIwavLCfY76qcG/b5o+++SFfuplMwCYkHERXpVhVTxA4l11dGIY82Orw4f09ak0Tzw/RVJHxUobrC0U29/oUchqeH/DxcgPHDZBEAd8PYkUMTTl629BUaX/QQ4i+Po3tep/lzTY/vlPD86Okz0+9NXPEYllTpXhDJAignLIpqjVNHmxFauNjpRSL04Uz/14SEhISzsJO3eC9+zVsO7J/JwTL9Zkop2n3HKaqGRanC6ztdGNl07mJHGOlVKxGpsginr+/bmuKRLtnc2ethTFo1JseyyIOmnDPiu36fPSgjuX4fOu9TWzXj1wy5ktwa/9x99Zb/N437uF6AZW8zt/6lVukHrJmH+bwcT1szU8YJZdWR4r0uUNKt6ossrHXY7PWY7PWRxIFthsGQRDS7Fr0LJdiVkNTJHRNot62WNvtQhiyUetjWh5+EHBpOs9UJUshq1FrmTQ7Fr4f4Ich09XsiNvVYWWskzjyt0+UVhISnim6JtM3XdZrfXZbBrbjo8giuZTK8laH3/+z+8yO55ifzFHM6UiiwMpej3rb4v5mh3rX4ZffWcByfFZ3uhDCRCXNwmSezVovUsCEfUdMARanEsX7hIRniWl7fLTcwPMCRBHWdzo0ug4CkEnJ/OG3V/D8gFxa4fLM8W5riiyyudejb0bDwa9dLsc/E4Cvf3+ddt9BEgV++YsL3FgoH/s6siTGSlSH+dEnu3xwvw7AjUslPntz8rE+t6qICAJxQ9nBGONwrJnEngkvIz3D4ZPVJrsNgx9+sosoRMNNthuQ1mRESaRS0MnoCpm0gq7KrO900TSJzd0+ja5FvW1iOz5zkzkmy2kMy+Pj5U3CECoFnTeWomtdUyR67Iu1aErk6hc5bSQkJCS8OgRByO21Jp1eNAB3da4YC1w9KzTlUF1FkVDkKC4C2G0YkZDHZof5M+RthsTKwwLMT+RGBi7urjX53oc7uF5AOaeBKHB7rYUkCsyOZdnc67PXNgmCkMlqNq5BeX7Axl6UdzItj2JOi4dKVFnkJ/f2qLVMRAFeu1wmDKMmL02VuLVYTgQCXhDOm9dVlf16pCQJbNR6cV7zoHteLq3GIj++H/DhcoNe32Fzr4+miHRNl7nxHKoiEQTw7p09Pnywx8crTbIphXxGY6Ka5v5GmzCEcl5HG7x3vW3S7NrcWW9imh5eGFDNpwjCkPFSmkJWO/I59ENfh4S8e6eG5wXomsTNS5Vz1VYTEl4WwjCMndwFAa7MFSnl9LhG8WCjzf2tNpoi8vGDBtcG+QJRFCjnNfZaFqW8Ti6jsrXXp9OLhv1mxjIjjjyH1xrX9bm/Ebl4IERNyJoqU8prXJktxsJmQ7b2+jzYaLO22yWbVpkZy3BzsZLUIxISXnAkUUCRRdyBe6gkwtd/sMZO3UAQ4EtvTo/08AiCMBKn1poGP75dIyQSpVZkia161N+4OJ0nm9p/7uH1oNN3uL3aJAhCcmmVjd0et1ebhMBUNc2NhcqJz30YG7UeG4Paycx4lpnn5Di3Xe+zuh25lA3rOk+Ck+4NQ47kZpO1+JVHVaQRV9+Lek58/furvHtnD4jEVX/hcwvP+YjOz7u3d/jJvQYAmVSTv/6Vped8ROdHVQTqbYswDJElgVzm1RUQfaZDHN/73vf47ne/G3/927/923zjG98YeYxt23zta19jaenJnVi/93u/xx/+4R/yv/6v/+tjv5aiKFy5cnEnft7fvAc0uTxX5ebNm8/7cI7ly8009/7wNlsd6YU9xoRXl+c9/LQ4XWBlu4PrBUxVMuebshYE0pqIaUdT1EEYOWEEQkjPdDFtL1L6dKPvQzQxX8xphERNHAtTRzcDl6byCERNxOOl9EMVodZ3o2aydi9S5cilVd67UzvSQHp5ZvSznhb8re924yCx1jSZrGRIJY4cCQkJT5Bm30JXZHw/UjVHCHE9n+His7XXZ6yUYmuvHz9nfbfLZCXN1bkim7U+ubSCKAr4QUg5r1PIanz4oE4QRKoZubSKKAhUCvqx6+1J7DYMHDfAdQNMO1I+SOsyrZ498rhvv78ZJ8/qHYsP7tXO3XRXLaawXZ9WN1JLmixnHv6khJjP3hgnCEI6hsPCZP6IGoLnh+TTKnuKTC6joquRm4umRio1taZBIaPSMRw2ag6CAK4bcG+jhSyK7LYMNEWmZ3jsipETy9pOl4lyGl2TWd/tMVlOx83aEJ27U9XMQ1Unx0rR377Td8hn1AupqpGQcJGZqmT4eLmBKIRUCzrtnkMQhBRyKhldwXJ8eqbDeq3Hp6+N8efvbuB6AaoqxWr8Hz5oRAnWQdy8UzeYKKVZr0VrguP6LG91uDJbRBQF1na7yRBHQsIzZLvexxvEal0jct9K6zKiINA3XTRVQhBEgiDk/maHycrRZr5oyEMjCKI9/MFmiOXtNn4QosgCoiiwvNnhK58+3zF6XsAHD+rx1x8vN3nz6njs9PMo6KrM0myR7XofRRZHipBpXeHyTIHdpoGqSEdc5hISXgY29/r4fkhtoI7teCG2G6CqIrmB846qiMyOR820PdNB12TGSym+9f4WihQ1SbheAAE4XoAkRteWH4SEIbT7LildjfeZtuszVkwnznoJCQmvLJ2+Q2dQnwiCkI1a75kPcSxM5eNm1oN1latzJXqGQ6WQIqVF+aHThBEP4np+NMABEEa1mIPNce/d2aOU02n3bXZbBoWsRkqVCUO4u9FivBw14tquT0qTuDJbRFdldhpGrLbq+QFbe32WZosAket7GKIqIqIgsl7rUy1G72k7PrWmearbQ8KzY7KSwR24fxWy2omufEOuzZdY3e4QhjBeTnF3rR3/7PC5NaTetjAtL3akFkWZfEbDdn0WpvKRwrYf0DPcwSB3iCQJfLzcpJKPjqfRsbg8U6DWNFjf7VIuaLx7ew8/CJEEWLd8PnNjnI7hcGk6f6SJsVJIYTk+7Z5NJqXgDxS9IXK92WuZI84dCQmvCj3TpdWNakbh4B5RyulMVbN8+sY433p/E1WJnP9qLYvZCZdyXqfTd8il8wQBGJbHVDWqC1i2TzolI4piXAOTJIH5ydFchSgKZFJyfO17fogGNDs2fdMle8DhMwxD1ne7tHp25GbfsSjnNXYbxpmEqBISEp4v1xdKkYAU0SDwR8tNIFpz3ru7d6oQa7Nro6kyQRjgDOrdmiIhCGA5PovTBWotA02RjtTQN2u9eJCsazjstgxUNaqDuF7A7HiGds9FkoRz1d+DIIwHOAA2BvHP83AHOljX3akbTFczT2RQumuM3hs2BveGIbPjOYIgxLS9uLch4dUmpckszRTYaRiossTC1MW7P5umEw9wAPzg411++q3ZaN24QKxu9xBEIIzyCn/xk01+8fOXnvdhnYvFqRwfLTcxLY9yQWOi/OrmDp5ph+t3v/tdfuu3fguIpip/+7d/+9jHTU9P8/f+3t97Iu/5B3/wB/z3//1/zz/7Z/+MSqXy8Cc8BEEQSKcvbsNSvRslJWfG8y/s5/jim7P8iz+8zUfLLRCVc1kEJyS8jKzvdtna6yNLIlfmilydO9nKKwhC7m20aHZtUprM9flSbGusyiLTY/nYNtgVBBQJCikFdRDgi6JwZNNRyuvHJmOHyJIYJ+zPgigK+42iQuSyIR/T8KEq0qmf9SCSJOAOHdsEEjvkhISEJ08Ijufj+SGKLHFpssB6rYckivhBwNaegecHbNcNpqppJFFEFAUEIbKC7ZkOkiiyNFsYSXAcXHMLWY2bi+VYueysDF9DFEFRRPJplWxajdf2IfKhr9VHVEaYGXt+SiMXHVWV+am3Z479WbNr8cH9OjsNk3xGIa3LCMBWvR+de56EIETnlCgIiJLA8OyRxKFS4/65oCoSS7NFWj07VrYWBQFRFDEsl83dPiEwUU4dUbs6DkEQkkJJQsJzRBQFZsaytLs2n6y0kGSRvCaxMJFDkkTCMIyu8cH1nNYV0pqM6wWEYbQuyLKIdEAZTxCiOFoUBIKBA4cgCrHy6/MoRiQkvMoEQcjqdgfL8VEHgxYpXUZEwHG9kWbrlHp8rkwSBfIZlXwmiicPqqVpsoymSvH3tPOIQgwQRQaOndE6IkkCT0LDtpzXKef1Y39WLaaoFpOBsheFvulyZ62J4wVMltMnOrYkjOK4Pp+sNjFtj1JuVHFWFAUs26PWNOgaDqW8hiAo6JrMZDlDRleYGcvF+8ixUipWwZYlgaHxuK5KzE/mKBV0Vrc6I9fUUG36vDm8x8GwXG6vRufKRPnJqUQmJCQkPAkkaXSv8zh7n7WdLtv1qH5zdb5E9owDcooscuWYNbmY07i2UCaT2s8PSuLJEZdle9xea2I5PqWcRjS1v3+POYgkiyiySLWQQlel2IEdothwopSGQUlmabZAaXAvOfz7cbyAH9/exfECMppMSo3+AwgODZxIDxENSXh2iKJwrvtxSpO5PlDi9/xgxD3vpBrc8Noa5iYkSWSsmIqdgB9sRoMgsiySTUUOHj3DZWM3GmodL0W9C5mUQjlfpm95WI6LKEAoAIM8RjatUi2luDpXIgxD7m+02Wub6KrEtbnSSP56dbszeowPud6bHYv7m5EryPxkLj6mhISLzuFzXz5wb7m1WGFmLEura2M5PrbrIwgC09UsjtdBEKK9uSDARCk90jgsiQKFrIauydxeafLe3T3KeZ2lmQLCIOdoOz6uF+B4/sj6cXgtEYQoFxJ/XwCEo70LCQkJLyZpXYldf/daxsjPDrtg2a7P7UGepJyLXLgqhSj29PwAPwjQlCi+VFWJsVLqRMEp1wt4sNnG9QLyGRWBSAAvJMTzZcqFFNNj569vCoO+o2E9RRQFntdyJB6q65ylrnsWDq+vh/cdkiicOnyT8GpSKaQeOhD+IiNJEqIAg0sKSRSQLtb8BhAdtygIw+0/+cwFHLISJdK6giyJqLLME1raLiTPNHPy67/+63z729/mW9/6FmEY8k/+yT/h29/+9sh/P/jBD/j617/OO++889jv9wd/8Af8d//df8c//af/lOnp6SfwCS4+QwWW0xqynzez4zlmxrJ4fsD3P9p53oeTkPBcMSyXzVo/tp9e3uqc+vh626LZsSEE0/LYqO1PZM+OZ8mmFWbHM+QzKoWMykQlQ7WU5vpCiUpBj5KplQzFnIYkCZTy2hNPUC7NFJiopLk0lWesmKKQ1fjCa+dTgj/M5ekCmiohSyKXJvMX1rItISHhxWWqEilaZHSZyWoGVZW4Nl9kqpqhZ7oUsiqyJFLIqvRMF1WJCrG267O63SUMo6TTsFA1ZGEyT1qXkSSBqWrm3AMcABODdVvXZD57Y4JiQSelSXzxzamRx3318/NU8jqKLHJjocSbV8Ye63eS8GR5sNFBlSVKeQ0vCClkNQRRYHosSy6lEobRPVSSBMZKKd66MjZIkuh89uY446UUV2cLTFfTjBfTfOnNaURRYGm2iDIo0l+ZLUbqjWHU7BX9lxTTExIuCgtTeVw/QFOkqElGUyjmdWbHM1SLOqW8ztJsgZ2myex4lqlqBl2TyaYUrs6VePNKlcszBTRFQpZFFqcLKLLE0mwBRY4U/z9/cwJFjpq8l2aS5HxCwrPkYLOCLEtU8jqyKKIoIu+8Nkm1mEKRRa7OF/nU9fFjXyObVpkeyyBJ0QDIpQNNWq9fqXJrsYwii1TyOr/4hflzH6Moinzxjal4GOSd16eOFWVIeHlZ2e5E7q0hbNcNeobzvA/pQrBR60UK5mGkOFtvW/HP5idydAyHUl6P951XZgtcmoqEWD57c4KZgXPe/GSO+cl8nLf73K0JpsayVIspri2UKeQ0FqcLfOH1SXJpFVkWeX2p8lwKq8tb++fKTnKuJCQkvGDk0ipT1f2Y6VEHzQzLZWtvv36z8pD6zVmZLKfjtb6Y0051Q13b7WLZfnyPqRRTyLKIqohH9nRfemOKbDoS9fryWzN85sYEsiySy6h89fPz5NJqnHc6OAxYKehUiykkSSCXVqNG3MEa37c8rs0XUWWJbFrhL31+nnw2ep1yPqo5JVx8ZEnk8kzhxHNrSDmvM1ZKUSpoTJQzTJTT5LNq7HwxrFNev1RmspLG8wPGSimuzxfpWy6O6zM3kSOlyVFec6ZARle5uVhmqpplspLhtcsVNFXi8qChsNW12WuZEEbOAGu73ZFjmh7L7p+Tg3P5NO5vtvH9kCAIWd7q4PnBE/gNJiQ8f9K6wux4Nrr3afIR5exf/coSqioiEPLaUpl8WqXVs3nn9UnSuowsR+vAzHiWwuCaOthHsL7TjZziQ2i0LRqdaM8zFI0RRYHxUnowRCgwO5E9Vsx1aabIeCnqH5gZy1LJ60y8wL1NCQkJx1Mtpnl9qRLFmmn1SD/Qxu5+nqTRsbixWCI9EJ/9zM0JvvKpSBU/pUl86fWpE95lwGDYYihYWy2mUWQRSRKZKKVPHYg+9WWFKBYZ1liHw2nPg6WZAqoixmux/IQGpTOp0+8NCQkvI6oq8YufX0BXJXRV4pe+cAnpAk5x/PxnZ1FkEVGIXIZeX6o+70M6P2GINBAxlSXhzC6kLyPP1IlD13V0PUr6fO1rX2NsbAxVPX+j2mH+y//yv+RrX/sae3t7/J2/83dIp9P88R//Mf/pf/qfUq1W+Y3f+I34sf/sn/0zSqWzKbu/jGzX+wBMVl5s1YgvvTnFb3/tDt96f4uf+dTs8z6chITnxuH7k+14fLzSwPUCpiqZI8nGkNEn+MH+14oscWuxgmF5vPP6/vc/fWN8JMiXJIFr8/vrZL1tsrnXR5FELk3l0bX9W8faTpdW1yaty1yaLpxJCaOQ1Xj72jhvXzu+6eRRyKZV3rqaNCMnJCQ8GWzXjxU7JssZxkop0rrM3HgWPwyp5nXevjoWr4drO5FjEuwXgYeOBZbjjbx2cGhd1zX53Buq1e0O7Z5DJqWwMJVHEkfX7ZMoF1L8+q++ca73Snj6+H7Ag60O9zdapFMK1UKKaiHFp66P8ZN7dVwvYKPWZX23Ry6j8tNvz8QqvMMC6GkcVrYOw5BMSubyTJED3ySWaUhISHjuBEHIynaHnuGSz6jMT+YQhGESPY/l+LS6Nr4fUCmk+Km3Zniw1cG0PHqGC0BKU/j8a1N8/rWpkfuSrsq8dW00bi7ldErXj1fAT0hIeHaEYYgsichSiCgKTFWz3LocxYmCCDcWq5E6XeH063V2PMfs+PEFt7/200uPfZzVQopbi5HbceKQ8epxOE91eH+TcDzBoV9UEIZs1/vUmiaaKjE7nh0RUSnnNUzbR9ckFqdHi/NhGKIqEqosUSmkeOf16SMKttmUwt/4yuNf749Dcq4kJCS86MxN5B7bcXS4tvUMh3rbIqXLLE7nj21KPQ+SJJ4p1wdH19tiVmPpYM7nAGOlNL/6lSsj3/v0geHg8XKUZ2p1bT64X0cUhXioUJFFVFlCUURc3x95jZuLFT7/2n5z3dQF7B1JeDhnUdwVhEit+STF5mGdEuCn35rhwwf1OI+xOFXg+kJpxMU6GhqRWJwu8pVP544IIO00DO6sNak1TCbKaVp9m722GR3HVB5JEpElMVYFPwsj11R49BpLSHjWbNR6NNoWKS26xzyOw9H0WJbpE1zWX7tc5f/9H3ya5c39gcRyQR+pI3QNh49XmkDUb9Ts2Hy80mBhMn80/h/MPymyOCIwcfg6P0wxp/HpGxN8+sY5P1xCQsKxhGHI6naXTt8hm1ZYmMyf6Kj1pDmtJ+iwe1s5n+Jv/mxl5HtX5o6Ph8MwZGW7S3fwmSRp1G3MsFxmxvaFvhsdk92miSyKXJrOk9LO3ipbyuuxO93zZNhj9TQ47d6QkPCysjRbRB2IQy9MXszhpesLFXRNwfdDSnntQuZeJVGkXNDxvGDQe/Xq9qs8N6m0mZmZJzLAAfD3//7f5xvf+AYffvghf/7nf84f//EfA/DBBx/wp3/6p/ze7/1e/N+rPMBhOR7Nrg282E4cAO8MJml/8NEOjus/5NEJCS8vmZQS2wKKokAQQqfnYFoe9zfbWPZoc3ClkCKbjgoEiizGdsEHmZ/Ixfe92fHsqVPatutzb6ONaXl0+g73NvYV5Ottk629PqbtUW9bbB5w/UhISEi4yDzYaMdr7YOtaK31ggDL8XAcH9PxYmt4iJLVuhZt8nRNGhmW1VU5/loQHn8TuNcy2a4bmLbHXstkay9Zey8664MiTD6r0ehY9AyHmfEsiiwxP5mjbzrcWWshCAKtrs233996rPcTBIH5yfx+LDCRfazCT0JCwpNnp2FQa5qYtsdOw2C3acY/e/1yBdv1sRwPWYmaaO6sNWm0LUzbY2uvjyKLJ96XEhISXlwEAUzbw3F9XC9grKTH31dlkUYnus43dns0u9ZDXu3pcXu1Rd906Zsut1ebr7Q60qvI7Hg2LvaXCzr5zJPJ77/sTI9lUQauNdm0gqZIrG5HSrWtbuSoO/y9aqpEo2Nj2h7Njs3azqia9E7DYLcR7Ql3Gwa7TeOZf56zMDeR2z9X8sm5kpCQ8HKSTSkUcxpb9T6OF5BJKdxbbz/8iU+QmbH9Gk8+q1LKPV6TmecH3F1vYQxEAu6stWh0rLgW1GhbyAOlY4jigUdxFk5IgGgAfZhnPxwvhGHI7dVmvPe4s9oa2Xv0TZeVrQ6yJBISsrzVpt21yaYUGm2L9UesWc5PjtZQlcR5MOE50uxakVq97dHoWKzvPt160Gl9BgevyW7f4c9+tBnfK+6utZgey8ROnbm0SmUgQHHwOi/ltWRfkJDwjNlpGOwMcgi1pslO48XIIUxXMyN5kvM4iB7Mi9SaJpoix+tMMadx63IlvpePlfQo/2J5dA2He+utJ/1REhISLhhBEHJnbX+fcXut9bwP6ZHwgxDT9rFdH9P2kJ/RgN6TZKyYwvMDXD8gDMNXWjTsmTpx/O2//bf5+3//77O0tMTf/tt/+9THCoLAP//n//wZHdmrwTAYy+gy2dTjqcA8ba7OFakWdPbaFj++XePzh6zVEhJeVto9m1rTRFFEZseipsrF6cKgSC7ywf29yBobIATXDxim5E3bY7PWQ1cl5idypHXl2Cn68XI6Vu4cJvfbPZOvfX+dXt9haabA7GSeyXKa+5sdNms9SjmNlKZgOx4fLdf5yb06gR8yVkqRHSToXW/fUjgIQjZqPWzHp1I4fjp9+FlVRWRmPHcmF4+EhISEh9HqWrx7p4YgCLx9fZz8CUXEruGw0zBQJJGZQwNtjndggHSw1qZUhaWZImEYIkkinh+iDCJpRZZ4Y6mK6wX4fsDqdhcIaXRsuoZDOaeTz6rIkhAnqLuGw07dQJQERMAbrKmnKRABI8OtrhfwYLOD7fjMjGXRNZlmx+K9uzUkUeTta2PxGp3wYuB5AT+6vctuM0ouZnSFIAhAEClkVLIphZSuUMpF50E+o6FrMoIgYDs+rZ5NSj95C1dvm7x3dw9FOv7vHwQhm3s9LNvn0lSecl5HlkT8IGRjt4vjBmc6DxMSEp4uB+9Dra6N40VN0pOVDNm0ypffnOLj5QaNjsXKTgfb9eiZLpoqUc7prO10aXdtlrfapHSZnuHwhden2W0Y9EyHYlaPB8UhEnzYrEWOUtNjGXT15HWm2bGoty00VWJmLPvMVLsSEl4mtut9uoZDLq0eEVnJZRQMy4tj2LvrLTRFZHEmP/K4g/vvwzzNvXYQhHj+/nv7fkgQhCMDzmfB8wJ+fGeXbt9lYSrP5ZnjlXph//NoqsT0WPap5w6Gf59CVhtxRgjDkK29Pn3LpZzX0VSZ7XofWYoaW16V5q5CVuNT18cJggBFvng288+Detuk0bGoFlOMl1KoisRGrc/9jRaG7VEtprg8XeCNxQpBENDuOdw/IKLiuD4dw+HHn+wOilmjw5mHBZAOXl+XpvOxEvZu06Dds8mlVUp5nY3dHmEYxnvJs2BYLpt7fSRRYGYsGyvWHUc+oz7WudI3Xbbq0XspsoRpu+QzGhPlZDg1ISHhxWJuIsdey0QQBSRBoGvYfOu9TWzX59ZiJV631na63F1rkdZlPnVjAvVQ7DBc94axRb1t0u7bGJZHLqVSLaYo5jQs22Oj1kMQBKbHMmRSCm9fG8Pzg1PX5bPi+cGIg5TrBUfuNbIkkk0JbOz2Sekyjuuf+N6O67NR6xEEIdNjWayBKFiyp7z4bO31+Hi5ia5KfOrGeJxLGMY+aV1huprhJ/fr1JoGE+UMr10eVdjOZ1TevrYfL7hewPpuB8vx8Tyf9d0elbyOqkjRuRnCcOsxzJ2IgkAxq7Hr+giiwF7bJKXKlPKj+c0wDNnc62MM4vmTmkXHS2nKeZ0wjJrYzxP/wH7MlU2pZ3JRTkg4Ddcd3fuP1K4ewknn/Gm1AEkUuHmpjOsFyJKIKAp0DIf3btdwvQDb8XC8AM+PRM/8IKDVs3Fcn5nxLG9fje5HsiTGfQKFrIrjBvRNh6lqBkE4+7p/+J53XM7ycK1PEISk1pHwyjHsExKPuVe5XkCza2PaLilNZuIpCj6t7XT5g289AOCX31mgXEjxYKPD3Y0WpazG29fG4r6hlCZTLaXo9h0myulz5fsO50UVSeBT18bxB/GE4/qU8xqeH5JLq9Sa1onPfVxqTZNWzyKTUpiqnG+NS3g1GZ4zFzlWPK6v8SIRhCHtrs2DrTaiILA4XSQIwgu3N3V9n+XNNpbj8fpSZaRuc1GQJQiDkE7PppRVX2nBsGc6xHHwF/2wX/qr/Ed5WuzUoyGOiQsQOAiCwDtvTPH733zAt9/fSoY4El4JLMcbqFhGX3tewNJsESAudk6WMyxvRTam2bRCZmDLHQQhHy834k2HYXm8vnSyZ/Vh941/+fV77DSixOInqy3+8juXuLvWIptSCIKQ9d0+i9N5glDgz7+7imF7g+RPjy++MYUsS4wfaARb3+2yPVhzGl2L1xYrZA4Mj1n26Gf1g/BEe+WEhISEsxIEAV/73irmYNit0bH41a9cOfI41/P5ZKUZFyRt1+fa/L5b22QlE1tGD9fayWqa9Z0eIFDMaejqaLFGEAQUWeTDB3UcN2B5s83abo+xUooffLTLrcUyY6U0rttmabYQv/92ox8VMatZml2L15eqp9q4VoopthsGnhewuddjopSm3rboGg6vLVb4N99bxXaiz1/vWPyNn1l6rN9pwpPlBx/vcGetxUcrDRzbI5tRSWkyM2M5Nmo98mmFMAz5ZKXJW1fHuLfewvcC+qaLZXsUcxrZdPHY13a8gK99fw1n8Pdv92z+yk9dHnnMRq3H1l7UqN3oWqQ1mWxaZWWrw14rUvpvdi3eWKqeuZErISHhyTNWTLHXMml1beptk7SeY3W7iygIjJfTaIrEvY02YQhB26JvuWR1lZ7hYjs+7Z7Dxm6XtVqPXEphY7dP33QpZKMCSbNjI8tCrND6yUozvnd0+w5vXRs79rj6psud9RYMYvgwDCNnn4SEhDOz1zIHA7+Da1ESR9SFWh2HIAwxTIPvf7wbFzB3miafuzlBGIKmSCcqLB/ea3t+eOqAxHkRxWgd2h0IxYyVUo9UpPnh7V1urzQB2NjrkUkpxzZmm0c+T/BUcwc7DePI36c8KC5v7fVj1dO9phmJagwaSGzH4/pC+akd14uGJApIYjLAcRYilcfhQIaNIAz3m2029/q4XkC37zA/kYt/r8Wchq5JWLaPIERiLF//3io9wwVgc8/gymyeMBSQJOGIQtnh6yutKyiyGO9xmx2bT1aa8b6zazi8dXXsofWCIAj5eKWJN8g99k331NwjPPq54vsBH6808P2Qds+m03eYm8gNrkvhXAqdCQkJCU8bXZWoFlORsxKwttOL6zQ7DYNf/coSpuXxjR+txzGN6wX81Nsz8Wt4B9Y9gM29HrIosts0aHVtJivpuM5yd62FPRiqGK7hoiigPqF7sz5ofm92os8zWYka2rfrfRw3QBQF+o7HJw+aeH7AdsPA9QI+fX382Ne7vdrEsCJH+Z2mgSQKCANp5GRPeXHpGQ7/9ofr8TlrOh4//9l5Ov392KfZsVnebPNgEINs1iLn0IN5eBiNF+6tt+j0HVa2O7heQFqXWd/tsTidZ6KSGWnwzGc00rpMo2OxWe+T1WXurrdJaTLFnM7hVpPNvT4bg3i+2bFRFelEF5lhDdU/FP8YlndkEOUgzY41EnOJopAMoCY8FqW8xtaehO0O9gals59PG7VeLNpy8Jxf3e5Qa55cCxAEYaQB/E++v0a37wCwst1hbiA8KUkC7Z5DvWVRyuvc32ijyCKFrMbKdifuTfqzd9chjHoddhoGf+XLixTP4BoVhiEfrzRwBoMsw3veQY6r9cmSmNQ6El4pDvcJ9UyXNw7s1UURGm0TPwgxLC+Ow54G/9Pv/4S+EcV9/+Rffchf/+nLfPu9TQzbI6XJ7LVN/p2vXEGWo0GvrcEa1TPap96XD1MtpthtGvh+GOdFRFFAHMQTd9YiF2GIchfZtBLnVA4L6jwOza7Fg839uEcUhCf6+gkvH4fPmWGe8CJxWl/jRUEU4O5GK97zhsDPfmb2+R7UI/Dn727F7oPfen+Ln/7UzIUTeP3eR7vc24zq3a2ezZtXxy7cNfGkeKbR6v/8P//Px/474dmwXY8CoMmnOFn7JPniYIjjux9s4/vBhZvcS0g4jh98vE2taXLzUpmFqdHGA9vxR5KKhu0def54OU02reB6Abm0St9yafds2n2bT1abpDWZajGFOXiu7wfsNA0EBMZPaa5odixMy8W0PAQRthuRqkUurTJRSrPbNCjmNDwviF9bEASyaYX5yRzVYnokoTM89iAIafVsHmx2uHGpFCc+TceLP+tOs8/aTgddlZiqZklISEh4VBwviAc4AHqGi+cFsYXzEMvxRxTlTGt0vR0vpcmmorVWEgU293poisxYKYXrBVQL2kD9R+S7P9kiDAM+/9okfhAppqd1hb7lYtgurY6I7Xp0TZexEhi2O/L+9oF/d/sO3/3JJlPVLKWcjusHVIsptAPrq6ZErh89wxn5bI4b0LfcuAkXoqT2Wag1TRzPp5LXk2T2U6bVs/GCENcN8IPo76arMDuWZXOvx8JUHkkUcb2AWstgeatNu+9QzqkYmsTiVJ6JQ4WaT1abPBio2DgH/v6tns3t1Sadvs3idIFKIYoPuoaD7fpkUwqG7ZFNqxiWGz8vDKNrRNdkHMfn2x9s4bo+n74+TvlAs5Tr+dSaZtTMWUpfOHWKhIQXmbSu8OaVKnfXW6Q0OY6hW30b2/W5t94ipcqoisR2vc+dlRY3Fopk0yobu10M26drOhBG98YQWN/uskwXwpBrCyVMy6OUixoSon1ISKfv4PkBV+YKZFJHE32m7cUDHHD8fiUhIeF0+gfuuQB7bYN37+wiCCLTlUykQGc4EAZYtosoiAhi1ET0xpUqtuOTSSmRcmathyKJjJVScfO16XjYjk/XcJAlkfQhBy/Dcml0LFKaTCGj8clqMxponiuCINDqWmR05Vg3zSGXpvJUB+6eh4sCnh+w2zAQRYGx0skqeq3uvgIeITQ65rHNTZbtjeZJrLOvOz3DodWzH/p5DmIc+vsMFUsPv7frR7mR4RDHeY4r4dXi8LlhWNE1ars+WV2h1jYBCVWR8IOQWtMgCELSusy99RaTlTRZXYlcYEwXXZPJZ1RuXCoTBJDW5VhlstYykSWRRtvcf8MQWh2bTFrGsFwM26PVtmj2bK4vlMhnNBw3oNGxMG2PXFo9UanW9YO4gRGI84NPA9v146ZQ2/XjZmWIfoeVRAcmISHhBUIQBK7OFekaLpIosLzdiX/meQE9w6FruCMxTatnj7yGc2DdA2h3bSqFFLbjY1gu2/V+1PymSvQtF98P6JouogCVvI4si1QLKfbaJn3To942SWkS1y9Vjjh+nMaPPtllp9Hn2nyJm4tlREGIxbleX6rGIiPv3q1hWA6iKFJvm3i+z63F8rEK6Qf3jX3DJaMryLJw5GcJLx4HY5OxUjp2nnNcn7vrLdq9KA8e+CGr211qTRM/GFV/3W0aI183OxaNjoVhuRRzOtmUMpKbHu6XhjnuSl4nCEOuzhVH8pLtns29jTaqLDIzlkEUBPqWy3gpjSwLLEzmEQ8NqA6bOSEalOr0bT51fZxiVuU7P9mmb3l8+sY41QPv4/kBtu3R6jmIwsNFSA+f04f3FwkJ50WRJV5bqsR7Ae0cjkuGdagWYEXx/sE9ShhGcf1JdaEgiBT86y2DIABBiARjdVUmpcmoqjRwGgfTdjEsj0JWwzAPrP2mhyqLKLIUN+idNMTRNRzaPZtMSiGXVuMBjuh1XNZ3u8iSGOcbtvb67DYNsiklcjDsO5Ry+3kKz/P5/W/exw9DfvrtGaafQB+C7frstcwj+ZiEhOeF5wcj7hKH9+pBEImwtPsO+bRKyOn3svMQhiG1lhkNXqpyPMAB0DcdDMONj8f1fFa3O/x//88PuDpfPuIyOlyjzkJKk3nzShXD8uK8yOhr7d9//YHAjeMGyJJAWlf49vsbfOu9LWbGsvyHX73xqB//SH/Bw/KDrhdQaz48b5rw8nL4nHmaubWnxVn6Gl90HC9AlaU4thcF4dieohedTs9krxUNtI0VU9SaJtPV3PM+rHPR7rlosoQXRH+TnYbx8Ce9pCRdWq8Q24MTfbJ8MSaWXluskM+odPoO797dO1HFJSHhovCnP1rnO+9vAfCT+3X+1i/dGBlayKQUVEWMExLlE5oM0gP3jZ7h8NFyg72myZ21JobtIYsiPdPhszcj95qPV5pxYrLZtbi1eLxCTDatsNPo0zMdVFmib7pUiimCIGRtt4cgQrsfNYKVCjqNtoUkCkxVs0xWMojiaDBTzul0ek5kler65NIqn6w0Y4WabEpFkUVWtjt8stIkn1H52vfX+IXPziWDHAkJCY+MrkaDbEOVnclK+tjNVlqT0VQpLgYdtlaHaK01bY8P7tcJgsh5KKXK6LrMj27vsjCR5//4s3uROqoI335/m7/5c0vU2xZhGB2L7QSYkotp+2RTUdhdzutk9CjZPlwf/SDEtF3evbtHOa/xk/sNSnmNq7MldhsGb1ypjjgoKbJIKa9TLe2r/OXSKvmMSnmwRgNMn8GCc22nGzszbNf7vLFUfaglfMKjMzeRo9Y0yaZk+pZHWlcoZFVSuszlmUKc8PeDgOXNDpu1PtuNPp2egyyLWE6AdWBQ4+5ak9/707uEYZQsLWS1OMnpegF/8cE2EKnO/JWfuoznBfHfu92zeeNKpMZTzusYVqTUoMhiXKD/3W/cjdXyPl5u8B//6puk1KjB7MMHjfga6hkuV+aKT/m3l5DwaqHIEnMTeXpGnTCMmid260akxNqxqXciB45G2yII4Tsf7KAqAtV8iq7pQhgiClFzpySJbDZNOj2bMISdhsnnBvsFSRTIZ1XurbVodm3SuswnKy3euFI5UvzIZVRkSYwtectnUM1LSEgYpZTTo0R0GDVD/JvvrtIfFG80RaRaSg9+5oMgxEWQiXIaXZXRVRnPD/jwfj0u0PYtN3an0BSJzb0+zqDh+WBewbI9PnzQiAeIt+t9OgM1zU+W61yayiNJ0XV/aTp/qsLncYpOYRjy0XIjLka1e/aJ7hRzEzl2G1HMLsviiY0U2bSCLItx4/hJeZLD9EyXj5YbcUHp8kzhiFvBcZRyOrWWCWHUnHKwsaSU12h0ojhbV+WoYW3wuzzrcSW8ehQyKqIojJwrKU1GVyWWt7tRY6Djs7HbQ5ZEWl2bZtfkz368STalcHu1xep2j3bPodGxEEVYmimSS+/vYX0/iB0hgZH7tyyLTI1n6BturMS71zbJpVV+fKfGZ29OkNGVA24hfa4vlI4d5FAH+4RhnvEkR6Anga7KpHQZ0/LIppS4qBpdl8cPmSQkJCQ8TwRBIJ+J4qPZsSz3N6J1NZdWKWZ10ro6koucHR+NfYbNsMMmntnxHKbj4Xo+rZ5Nx3DYbpgUMhrNrkXPdAmCkG7fIQyhUkjx0XKDlCbxFx/s4HoBY6UUW/U+X/3CpTN9hm+9v8Gf/WgTgPfv7vEffvU6cxP7LhmyFImOrGx3cb2AtuHSaEXuZJIk8sffXeGv/fRRR+ByTo9jqLFyGs/zGfb5J3vKF5u7a03avWi/UO9YvH65QhDCRw8aGGY0mGo5Pq4bMFXN8GCzTTmvj8Q+1+ZL/Oh2LY6v07rC3bUWEDndFbJanN/eqRvk0iqtrk0urWJ7Pooikc+oI0PZluPxr7+7El9Pc5O5KF4ApIHTYZQ/H40ZKgWdVtfm/kaLtZ3IQbvWMgnDkLWdKC/60YM6//HfeJ3sQNhCFgVqbZPO4PcgK6c3dhWzGpu1XrQPEZ5uvJTw6iBL4omD1qcRBGFcC2h17ViZv5TX4phekcVTFZtFUaTVtdgZ7t8lYbDHESlkozxhY6Bi3eoK3Lo8qDcU9FhkbKKU3s97qBLjpePrVt1B38Owv3xpthD3CoVhSKtrx3WyTt8hn1HZqPXo9h1Wt7roqsRYKUW9HZBJKSiyxJ/+aIN620IQBD64V+f/87c+TTH76Nfl4XyMYXtcmkocpRKeL9F1vO80UTq0ZxbFQa/gYGjr+kLpuJd5JNZ2umwPXHdkSWSynN7vS6ykKeQ0KoNBY8PyWN3pUMhofPCgxZffmmKqkh0cY7S2nAdFlihkj69nl/L7tfJMSkFTpHjY+AcfbfM//u5PCEJ4/16dVt/h//nvvPlIn7+Yi0Qf9+/7J6/VQ8eUYbzf6TtH3MkSXn4OnzMXMcd11r7GFxldldltGHEMoyrShRvgALiz1sZyor/DZt0gDPyHPOPFY24iw0/u7wEQhj5X54vP94CeI890iGNzc/Ncj5+enn5KR/JqctGcOCRJ5MtvTfOH31rmT3+4ngxxJFx41g4oMPl+yIOt9sjAgiyJ3Fqs0OzaqIMGXYgattq9KDGRP7B56QyGKvqWi+0G8QYkk1KYG8/i+0GchPH8gM1aj7nxHLljNkCfujaGKkls1aOk6UQlw/RYlmJOi6byMwqBH+D5Ab/yxQVWd/vkdIVrl8pHBjggcgxRZJFm12IiFf27b7p4foAsiSiyyGuXK2zWerHyu2373FlrMVHORJbcpovleOQz6pEGsoSEhIST+MXPzXNnvYmIyNLs8fKckiRyfaHMynbkAjQ/eXyStWs4ccHJsDwMy0OzREzTZbfVp9620BQJIRw6YThMj2fR1ai4VMhp9E2HQlZjarCulvM6giBw63KFRsfiylwRQYC7ay3KOQ1JFCN1r07UzO8OHJCOUx+5MluMhkYIqRYiq9hf+Nw8797eRZZE3r42duQ5h9fW9gHlP98P6VtuMsTxFLm1WCGXVnljqRopOqgilYJOLhUN4dTbVlSENxzqbQtdldAUmVwmSv6Nl1KkDqhi3V1vxc2JUeEy5PWlCmld4fZqg1Y3KpT4fshuo48si8yMZ3Fcn4yuxMWGYk7DdDw0WYrv4QCbgyIPQN/y2Gv2mZvIYw9Uvoe0+6MKkk+bruHguD7FrJa49SW81GRTCq9drtDpOwjAynYXw/IipaaCjuV4ZNMKIiI9y8ZxIx2tjC6jawrvvD6OqqrMVDL8yz+5Ew0O+gGCAMEBqZxrcyU2dnukXZ/xUhrPD+ibHsXc6P1AUyRuXS7T6tqRiv8jFJATEl518hmV1xYrdA2HMPT5tz9cj+/HPdPlzatVXC9EFgWyusqdjRaaIvHpA3GdZXsjCnvDhiKIFCGnKmlqLTNS6VT3r+Nhs9+Q9d1enGNo9xx6phcXPzs959QhjuNwvWBETazdP9kV7ualCtmUSqtnMzeePXE9UWSJ1wdxs6ZKZ26CGjY0Dmn17DMNcRRzGrculemZLvmMGotoQNQcqcgShuVSyGooski9bSFLApXCw1874dVE12Rev1yh1Ru9d46V0syMZ3E9H02VBgMaAmEYsrIV3e81VSYMA+6uNZmbyJHSIuXaK3MFXC+IY3bL8UcUast5nbmJLHtNk+sLZfJplU7PZn4ix9Zen3xaJZdR0FWZjB45Tg6HqiAawDrumhQEgRuXytRbkRtfpfD0irSiKHDzUjkSkZEEVCUSnMml1XjgPCEhIeFF5UtvTjNeTmE7AUuzBWRZRJZF/vIXL7Gy3SWTkrl0yKVdFAVuLpbj2KKc1+lbHo7rU8hprG530RQJ1/PJ6DKqLBKGIBDlLDMpj5XNDnOTOQzLxfUCeqZMrWkef5ADPD+g3bNRFYnVrV78/SCE+xvtkSEOx/VZ2e5guz5jxTSKKPA902E6nyWbUmj3nFgN2bQ9DMslm1ZZmi1QbGsEQUilmIoGU5I95YXgYDxvWtEexPMDbNdHlkU+c32c1Z0u2bTKZCVqyrYcj9cuV2KXjnxGZbwUNXROltO0enbcvBiGsFPvE4TEYhHFnEqlqFPIRrlSSRSQJDFS7s9qhINzs9Nz4r1OvW3xhdcmaXVtrs0VCSF+74MM4/nlrTZjpRSyJOL7IStbbeRBDdJyfLb3+lyZi57rDVxIdEVGFCF3jGvpQTIH8jjZlHJqc3xCwtNGFIWRWoAzyCNMV7OkNBnHDSjltHhfMcRx/UH+PUCVBUpZFYHomi3mVCarWTK6QqWg82CzzXg5TbfvUM7rsQBDJEQhYdoeb10bY2uvR9/0WJjMHXEMHbJZ69HrO6RTCqIgxA3Oe21zJAcCxHUtSRSZm8hh2j6FrMrYII9RKehk0yqm48XCWZbj8+H9OjcuVShmtUdyFjcP5WPaXRumzv0yCQlPFEEQuL5Qpt42EYWje/UggKlKhlbPJp9VCTlYKz66BpyH9oGcpOcH/K1fucG7n9Tww4Cf+9Q8kiwwXk6xWevzFx9u0e7ZcW/RVq3P529N0e7ZzIxlTnQEOvj67Z6NpspkH5IXWJopUMwO4s+CPuKY8+M7NQ6kR7m/3jr/Bx+Q1vfv+0MHoZMYuvoOafeebV31WeF6AZ3+2f5OryIHz5mLGivKUtTr1+iM9jVeJCzHY6KSJiREGKybF9GJwz+4mAE/vrPH29cvVmByazFy/NxrmyxM5innX906yzMd4vj5n//5c9nJffTRR0/xaF49hhOwE5WL4cQB8JVPzfKH31rm2+9v8Rv/nn8ui8iEhBeNyUqGjVrUDCkIMDd+1MZKVSQmyvuNEkEQ8tGDemy9NzueZXosGvwYFi1TmoyqiGiKRDalMl3NoKkyoiiQ0mS6hsPKdgdZFPlopcHSTOFIg0Ehp3NjsYyuywhC9HUurTJdzbLXtOibDms7PdIpmc09gzcuVx4aUJbyOtNj2biJI6XJI0ryqiJxebZAs2vT6dt0DZcpI8PHKw3GSynub3YgjNQDXl86qgSckJCQcByyLHLz0vGuQ0OCIOTuWhPD8mgDiiTGa+tBsikFQYiS07bjY9keogibtT6iKA5sTkMkUUJXBTK6iiREdu2eF+AHYWy/Pj+ZHylMKrI4st5fnStyd72F74coikQuE63xkiTE6iCHiexWR9fzla0OIOD5ISvb3ViVGaDeNrm30R5ZWw/aZ4uiMNKolvB0mJvIMTdxvJVl3FwoRAVI2w1iJW3PDylmtZGk1+xYjnfv7NHu2TS7UVJseavDr3zxEq2eHQ9xCAJUC6mosK8rZHQFBAZFdpvbq03CMEq8VA+cU9VCio1aVMTXVInqIBGjKRKKLMYFi2eZiNuu91nd7gJRbHHrciWxHE54qUnrCunB0NVGrY8oCOy2DDRFIpdWkAQBxw+QHRHPD9lu9AGBibJALq3zmZsTyJJIKafR7Nooskguo8aqkhANRkVNNh6rO10uTeVPLKjqqsxkJTF1TUh4HDIphUxKwfd9/DCkO1DKy2cUsqkoXnQ9n2+9vxX/7P37dT7/eiR2o6nyiCtOJr1/H9YUie2Gge34GJY3Em+mB/v94XDDeCkVO3xlMurIdZ9Nn//eLkti7DYHD48PTouJDqIqUtwUdlYOH/9pRdSjz1VPzHfkM+pIM9jB329CwknomszkoWaE8VKKcl7DtDz22iYEUe7e830M28O0Xbymj64qVPI6oihSKaSQRIFiVkeW9uNfTZVGHGv8IKDVc5BlidWdLvlsdN/XVJmJcprNvT6aKpNJKVydKxGEjAxxnJbvk0SB8Wd03suSOPJe57mOExISEp43V2aPqupm02rsVH4csjSaK8ymFBYm82zt9TEtD8P20FV5IL4SEgTQNVz8IGB1p4vj+WzV+5i2h+36KD2R3Ckx3dDJybKj2C2l79dfBCFyAxliOR4f3m+w17KoNQ1mxrIU8ymuzpdxBvFkNq2gqyJdw+HjgSOaKAq8drkyMkwrJXvKC0M2ta/qrSkSshTlw4dxh6rKvHVtDNP242HxXFolpckjIjRjpXTcWO35Ic2B4i0CCKLA2maHbt/BdHy6fQfXD5ibyOEHIYok0hw4dRTzGp4XUG8ZNHsWaS0a1KjktTPnKvIZlcXpAp+sNKNDEGBqLEetGfVQKLI44hKgSCJpVUbKCfHnexjDPE5CwvMmm1ZGagEHh6FPEkiwXZ8P7tfZrPVodW2mx7J4fhiLk6VTCvMT2bgJOwyh1jQIQ9iq93n9yv59rpDV4prY4eHFw6xsRa7km3t90rrMzFiWTEpBFAXGS2mCIGSvaR7IN6hkU0rszjFWTpEbfD5BgOmxaFBlqpyJ+g2I9kmm5XN3rUU2rXBjoXzuQQ5dlZEkAd8P499xQsKLgDS4Vk762U7dIAhDLNtnophmZ9A7qCoir12uPvIgRzatxIMJoihQyup89Z1LI4+ZqmaZqmYRRIEHm934+9WiztpuF8LI1ea1y5UT+wE9P+CDe/V4DXiYg7AgCCeKudxaLPPNdzfj/OjMMf0B5+Gs933lSN705ctxuF7AB/f3YqGRszojv2q8DLGiIksXOi+uq/LgPBUIw6h36KINcAAjcYwAvHmMwOuLTjatsDRbYmm2dCRefdV4plmSf/AP/kE8xOF5Hv/D//A/oOs6v/Irv0K1WqVWq/EHf/AHWJbFb/zGbzzLQ3vpCcOQnYETx9QFGuK4eanMeCnFbtPk+x/u8OW3EneWhIvLz31mFkWRaHYsbsyXRlSMTsKw3Li5FqDWNONG40JW4+pckUpRZ25gr13IqCzOFBBFAcPyqBZ1HN8nq8soikyvb3NnrUkho40EIVdni2zq/SgJM1CTmaxkYgWo9+7UKOU1inmdMIwaS88yFXxjoRRbtU5Vj649Ny9VEBH57odbzE7kqBZT9AwX2/GxbQ9FlnC9gFbXOdKonJCQkPAw/IEymKbKI03eh9fWtZ0uqiIO7N7318a0rnBtvkSza9Pq2bFS3GQ1RFEEfuGz82w2euTTKl94bRJNlcln1H3bSCFSMynmtIcqyxVzOj/3mTnub7QHxU2dIICxUurMybPh8fUMZ2CPGwwUj6LBvr2WGVtRD9fWuYkcysDyslpMJQOzzxnb9QmDkPFSGtfzub/ZYnEmjypLCEClmGKinKbds/H8gNevVPHDgP/jG/cpZDVmxrL0DJedpslnb4yTUiW6hsvidJ5iTqeQDRFFAcvxKeU00roy4ubh+UF0jg+Knv/uL1zjT3+wiu34fOH1SVKDpKIkidy8VGanYSCKAtPH3ONPwvOjwZTheXleDqpImrZHz3AS5caEVwJFFrlxqUTfcggJyWVUcimVdt+m03fo9Gxc12N5p4cAjBVS1Nsm3b5DKa/zH/6lG3zjx+uEYciX3xzdV++1TKrFFKbtgiAwUU4nrkwJCU8Rx/HoGA4pVeadW5N8tNxAEEVeW6xwaSpP33JxXB9JFPHDEBlodveV7YbrQa1pIsviyICD4wZMlNK0+w6KLI7EkWld4fpCmUYncvt669oY79+t4boBNy6VEQSBVs8mrcmP1KQtigI3Fsts16OBs6lq5rHv+49KLq1ybb4UfR5dPrerSELCk8TzAlq9KI82HNAv5nS+8qkZvvb9VarFFLoiYVgetZZLKatRyets1Q0Wp3JcXygjCCAKIuWCzqWp/IhQljyIzXcbBpIk0O078QCY6wW0ew7VYoqlmQIZXWJ+IoeiSPEeAWBptkCn74zuZxMSEhISRmh1LQRBeOQchB+E2I6HpkhndhWdHc8iS5GLq+sHpFSZiUoa1wuoty2mqhnub7YwbZ/LUwXqbZOlmQL1jokuS1yeObkG1TPdeIAD4PJMkWohRa1lcm2+xNJs8cBnj/JQpZyGIESiM1fni7y+VOX9uzVC4PXLFURRZK9lxnmmIAhpdKzHbo5LeHpE7tNONCR6KAd9bT6q7wVhGNcLQeDWICcoSQJTlQym47PXMlEVkcny6TnCqWqGMAzp9G0myhnWd3tUijo9y6WYU2PxCdvxaIdh3CgNsLPXR1YkNFXh7atjbNcNXrtciR2PWz2LtB4Np592vX3mxjj6wZxpPsWf/Wgd03L5zM0J8tn92udxe5yEhIvCdDWL5wfUWybzE/kRoQXX83G9gJQmj+wtWl0bb7CHgMjl8tp8GUEEQpibyA6GuMT4dYp5nSAIyegynjeqCP0wHNfH8wNqLZNMSmG6mqFvecyMZ0f28cddi5IoxLWOa/NFLMfHcnwqBT0eJPu//pXX+P1v3sMwXarFFLmBKEPPiFwIzttEq8jR3uu4fExCwouKH4SUCxqNjkU5F/1fUyQ8PyAMJTp9+5EdZhcm82iKhOMFjBVTp9YUPn19HMt2+XC5wcxYhqWZEq3BoKbnBbS79on5yE7fwXIilzpZiuLNR831ffGNGdpdh+99tMNkJcP/41ffeKTXOS/HrWNBENDo7McvF51O3x5xiq01TUo57dhejYSE54nnB1ybL/HJShMRuDJbJAjCZ1q/eBJcni3w0b0GAdFgnCRcvEGUyUoGURAwbI9iVruwIj5BEGI5HupA/OBReKZ3gb/5N/9m/O//9r/9b1laWuIf/+N/PNIs95u/+Zv83b/7d1lZWXmWh/bS0+hYOF6AKHChGqFFUeBnPjXLv/z6Hf7tD9eSIY6EC40kSXzlU7Pneo6qSCNKmZo2uvEp5fVj7ck2aj2+8aP1SNFdFdndM2h0LGotk7nJHDsNk7/8zgLqoHgsSeKJCpgpTebyTBFBaMffG9oUPwxFlpifPH1Y5fqlEl4Q0DejArMfBOztGTQ6kXrG3EQOXUuayBISEs6HaXt8tNzA8wI0VeLWYjl29FEOrK21psG9zTZ31lqUCzpf/fzCSMFqqBbUN136posiiew0TNJ6CKHPr3xxcaSoeZDxUhqOCu+dyGQl81hJX0kUubPWYn23i+8HZNMqkiCiaxI3L1XQVZk2+w2AuiYNGvCTQuqLwNZen7WdocOExEcrTTZrfSRR4FPXx1FkkXbP4cP7de5ttKkUUsyOZ/n5z85Sb1tsDty+hg4boijyxpVRxQVBEI6cY/qhe/rBQZ6UKvHLX1w89nh1TWZh6uEDqQfpmS6frDTw/ZCULnPrUvnMjQvx8Q1s2CFS1UoGjxJeJdJ6pJitKfupnNeXqjzYavOtdzdY2zXo9l0gZG23SyG3b4eez6r81Z+6fOzrqorI+/f2aLQtBBhxcUpISHiytHs2//q7K9iOj6ZKTFUyfP61yOJaU6S4WNkzHVa323QMFwEQDt3u0rrCwtTRZgNVEdF1GX3QsJDWRh9z2EniszcnR35ezD3eYKSmSCwMcgCG5fLxchPPD+J49FGV/R6FYk577M+TkPC4WI7HH31nhW7fQZZFfu4zc0yU03hewA8/qbGy1aVnuqRUGVkWCAOBIITL05Fa4VCxdm4id2rTYOpAbL6y1YmHOCCKnx3XZ323h+365LIaty6V43UCoFJIPXLTRkJCQsKrwLff24zcbYE3rlR56+r5FC5dz+fDBw1sxx+4CJdHnApOQjihaVxX9x0BQmC3Eakpj5XS/OhOLRbWCkWRL795fE1KU6RIrjMcvqbEG2/NHP/YA7mjYlZjqpqJVdy/8PrUoWOTD32d5G1eVA7WEUs5jb/0ziXUA/G6fELd8HBOMJsSz+zS2zNdtup9fD/E9Xuoskgln4rcZiwPWRLwghBZklAkkVbPpN6yAKgUdMZ0hSAIyWc0pqpZXrtcwfEC/vV3lml1bSRJ4MtvTNHsOSdeb8flTL/6hYUTj/ngHich4SKx0zD41ntbeF7A6k6PX3pnAV2VaXUjwccwjHIE1+ZLcdPicM1WFTG+hlK6zJXZAl/73irLWx00VeKrX1ig1bVZ3urQbFtUiymyKfVca36tafJgK3KOb3QtyjmdbFqlkNOOFaU97lp8WD0to8v8B794HYAPH9RjdyFRFOJ64Xk5KR+TkPCi4no+Hy03cVyfnbrJzcUSG7U+YRiiqzI3F092insYoijEArRn4UtvzvClN6N4c3W7M/Kz0/qPFElkvdbDtDwEQeCNpUc/ZoBf/tIiv/yl42ufT5OD65jnBfyf312h0baQJIGfemvmTI7FLzLaoX2AKMJ7d/dwvQBVEbm5eLLbSkLCs0QSBTb3ejS70T5ju9G/cAMcAL4XRD2kYSTuVcpdzAGIZ+X6/LRwvYCPliOXU1mKBNgexW3nuY3g/O7v/i6/9mu/NjLAAdHG+dd+7df4vd/7ved0ZC8n2wM7tGop/cgTP8+Lr3w6SjB+/6NdeobzkEcnJLxcqIrE1blSrIR3edBQFYanK1n85N5erFCzXetjOJHqvCiCaXl0+w73NveHMh72emOlFDPjWXJplalq5lhrtIe9xmlcmStSymvkMyrFnE6pkCKfVVHkKPl7eNoyDMPHer+EhITH50W/BrfrfTwvUnuwHZ9aa1+9XzuwttY7FoVM1NzVaFuRdesxDNepTEphcTpPRpdj1Z6zcPD3NbSXf9JYjo/temiqRBCG8XCcZfvU2yazEznGSilyaZVL0/kzT7I/reNNGGWj1ov//f2PdjBNl1Iusilvd20KWY0wDFne6uD5AX3LZWuvR61l8c7r08xNZKkWU3zpjeljBzxPYrqaZaKSJpdWmZ/Mneu552Vrrxdfl6blUe9Y536NxekC5YJOPqNyZbY40nyWkPAqMFFOM1XNkEurzIxnyadlbq800RQZQSRWvlMVkUxKwfUDwjDE94MTX1OWpKihXJHIZVRWt4+/FyYkJDw+n6w2sZ1I8dh2fIIwGrIq5jSuLUTTv2EYUm+ZKIqEIouoikQQnq2IkNYVlmYK5NIqlYLOpekn12x0MJ49bU8+/P523cAbrD3DeDQh4VXjwWabbj/KZ3tewAf39wBY3emwttNFkUQ0RaZnumRTKkuzBSp5nelqhs/dnIzzcJOVsxezjtv37bVMbNePj2OnYcTX6sOu5YSEhIRXHcNy4gEOiGov56XWMuMY0PMCtuv9Ex97OOZ6GHPj2Xjdz2cVOj0bWRKQJYGVrc6Jz9NUiaWZAvnMIG6cOrn2VMrpzE/myKYUJirpU501Jiv7e9bZ8WwyJPgC88H9/Tpis2uzut1+yDPOz+HzaXuvH7+naXlkMwqVgs7VuSI3F8u8drnCzUtlKgWdK3MlsrpCWpdJ6zKZlDzY6yiU8hpX5ooArG61YyVv3w/57gfb2I5PGIZx3JOQ8Cry4f16nIvv9h0eDPoCNvd6sXhkq2vR6e/33xSyGvOTOa7MFZibyLE4k+f6Qok7a5HrE0S5jA/u77HTMCjndYo5DdP2mB3PUsrrZ95HrO9240HCrK6gaxL5bDRUcl7hp7OwNLvfi3B1rvhMRSYSEp4n9baFrkhoioSqSnT7DrmMQkqTKWTVOHd3kPPmAx4lfzAznmOiHNUmF6byx7rdDV/X8wMKGZWUJpNLK0+k2fphx/y0cyJru10a7ahG6vshH9yvP9X3exZkUwqL01FeeqyUQlMk3MF9yHGDePA8IeF547o+pu2hKiKqItIz3ThmukhomoymSMiyQDaj0O65D39SwhOn3jZjl1PPD2JRjfPy3DpeWq0WlnV8045lWXQ6JyeWEs7PTiM6QabOUfB5Ubg0lWdhMsfKdpc/f2+LX3rnZDWMhISXkYPqkV3D4Sf363h+wGQ5faLLhXpAPUKWRLKyhu+FhD3iQS5NkXFcn09Wm5iWFyVG5konbnpmxrLMHCMwZVgut1ebsU3ioyj3DhuqATZrPbp9J7ZdPjh12TNd7qw22W0aeF7ARCXD0kzhqTacJiQkjBIEIXfXW7S6NilN5tpC6YVUTTg8tCofGhwerq3ru72RwulJVq/DdSqXUdlpGFiOTxhCyMOTOJt7PdZ3e/h+QBCGKJIUFZpmiyNW1Y+LLEbHWS2kkCUxLg5D5NIhicK51uiDf2tdk7g2Xzqippfw5JBEgSAI2Wka7DQMOoZDRleiwaGZAtmUwgf36zQ7Fl4QIAoCPdPh4+U6b18b5yufnnuk9xVF4Zmoyfl+wOp2l629ProqMzOeeaThckUWuXKC+01CwquAIAjMTeRodW3ubbRY2+nQt1w6hk237+CHwaDhM0s+o7HbNPg3f7GK4wZcmy/ymRsTR+L9lCZRPFAkUZMiZkLCU+Pw9ZXPKNxYKAORMt779/YwLY8gDJAkkbSuIAqgneO6fNKK+n4Qcme1SafvkElFTVbruz3CMOTSVGHE8XenYbC63UEQBFRl9JglMVlbEl49DrpnQZSvqzVNbq822WuZBGGI6/kIAgPBgAKiKHBt/tEUu4Bj930H7/2G5fLxSoOdphE1TQmRquW1+RKZgYr2Rq3HRq2HLIoszRaObaZISEhIeFWQRXHELV15hDzo4bzkcfmQg7WabFrBD8L439dPaWiVJDFe91s9C1kSYwHFk3K2u02Dla0oZluczlMppLBdn/fv7mHaHsVclLcc3j+CIKTTd+iZLn4Q4lUCVPH41x7uWRNefA6r0B+OWx4HPwi5s9ak03NI6zLXF0oosoQkReeU4/ps1Hp0+jaL0wVeX6oeyZMHQUhKV5gdl2l2LdZ3+xiWh6pIFLIalu2hKdKRzyHLEuu7XQwrEjuqFpNBooRXk8NDCsOvpcHa/sGDPWpNk/ubbb76hQWqxXS83rtuSCmvsTRTjBq/laNu3pH2l8B4KU27b0dOwe9vxg7iD6t/yZIYN/eqqsT1hfJTrTUe7EVISHiVUAfCTcPoLKUrjJf2+2+kQ7WCzVqP9VoPSRS4Mls8NR8w7N1x/YCJUnrEqethSKJw6uO3633WdroIQrTO5DMa+YEo40m1/LMQhlHtu9k5vvbdM6PeJ88PmCinn1r9VDncx3DBxLhPYqyUinPFmwfEC+Hl+YwJFx9RFOkaLtt1Y1DHkJAvYF1UCMMoTyEIeF5INp04hT0PjvSlPeJa99zOwFu3bvGP/tE/otFojHy/0Wjwj/7RP+LmzZvP6cheTrb2oonGh1kKvqgM3Tj+9Ifrz/lIEhKeLytbnWgCNIxULYcq64f53K0JygUdVZb47M0JPnNjnIWpHGPFFAuTeS7PFLg8U2Bzr49peQB0es6IUv1ZWd3p4rjRMdWaJu2e/VifcaKSoZTXkCWRcl4fcf1Y3e5g2h61pkmza9M3XR6coiaVkJDw5Nlrm7GylWl7RzbgLwrT1QzFXLSWVAr6icWaz92aoJTTBkni0qlKcgCEUeAtiQKSJCBw+hCG7fqs7/QgjJra1raj31ezY9N4BBeC01BVmS++MY2mSkxWMnzutQlkSWSslKJaPP+wW6NjxX9ry/bZrD3a1HjC2ViaLeIHIX3DZX4ij67I2I5PPh01S0JUaJmfzKGrErbjcXk6T0pTWL4A98KdhkFKi5TzokY1gXIyhJmQ8Mg82Gzj+yGiIFIt6PRMj0xaZayQxvFDpioZrs+X+GSlGStQ3l5tUW8fvfcUczpvXRtDVaOCzjuvTz6HT5SQ8Gpw63KV6bEMqiwxPZbh1uVq/LPN2v7+3PdhfjyLKotoqsSnro8/r0Nmt2HEypw9w+GHH+8QBFGBYHmrHbu2eX7AynaHMIwarizHJ59VHyseTUi46Azzb6ocNRC+fa3K8labcj7F4nQ+bj58bbFMNq3Ss1zmJnKPPMBxEuOlNOWCjiyJGJZHPqPui7I4Pq4XxE5clu2xsRvtYYfXdUJCQsKrjKrKfOH1STRVIp1S+PKb0+d+jWoxRWWwDhdzGtPVo7Xag7WaB5udWL2xZ7hndhIoZnV+6YsL6KpEJi3zqz975chjfD9geWs/ZnuwGa3zm7Ueph29f6trj+wdD+eDN17QfHDC+fjczf064tW54hMdvqk1DTq9aA9hWB6bg/N5djxHPqPS7NqkUwr5jEa9bdE6pq4oigJLs9GAa6tnUy3o7LUstusGvh+yPDh3F6byXJ0rosoS5YLOG0vlKHcvCsiS+JDsfULCy8unb4xRLaZQZYnLMwWuzEYDDAtTeXqmw17LIpdSCQL4wce7QKTYf7AmtLEbrfevLVaYGcuiylHt6Y2r41yeKaDIIqIYNSPvNS0s22en3j9T/evyTIGUJqPIIpcm8y+kWFxCwsvA4ev3Zz8zRzatIMsiU9XMyJCG5XisD/IBB++1J7G63YmGsQY18J7hnPr4s+L5Aas73TherbUMpqoZZDlyH5+ffPSYpdGxaHb217n13dG49mA/1k7doHdCP9bjMjuR4/pCCVWVKOU0Pv8S1mRO6/tKSHieBIAkDnp+JAFJEAiCi+fEkUmpSJKAKAikNSkZlHpOVAo6Y6VIZDefVZkZf0i/2Qk8Nynd/+w/+8/4O3/n7/ALv/ALvPPOO4yNjVGr1fjOd74DwD/9p//0eR3aS8n2wInjot4Uv/LpWf7FH3zE+/f22G0aI5PBCQkXBc8PuL/RxrQ9KgWd2fHzby4O672HQKNt8q++eZ++5fHa5Qpf+dQs2bTKr3xpkU7fYWW7gwD89Z+5Qi6txs/drve5vdqgZ7hMlDMosshey2Sn0UeVJSYqabb2+jTaFiEhlULkspHS5KMHcfDLx3QWlEThRCWMw68dhuFTtzJMSEg4xKFLbti09aIhDZREAZodiw/u1xHFSF3uYENMIavxV37q8shzLcfjwUYH1/fZGyStdSVKbnWNSIF4OBh7WM18bafLDz+JEt6TlTSiKLDbNBg7ZojkaSxfwyahx8GyPe5vttlrmTiuHyubBMl6+8ToGg4rWx1CYGEyTz6jks+o3FqMioy7TYPLMwV0TWJ+Is+PP6nx/r09PD/gMzfGub5QpmM4VAupgWNKk+99uI0siXzu1iSvXa7E79Xu2azudNlrGqR0hXJe5/JM4Zlv5EOiZMgw/pk6pmEhISHhKMP7SrNjoigyjuMzPRYVLHKpKLYfK6a5Nl+k3rJwvABRhGxa4VvvbfBgq00urQ2GpkKC8PhE5BtLVd5Yqh77s4SEhCeHSKTELysiqiyNqOt4QcjmXg/b8dFUiUtTeWYn8ghC5FB5e7WJaXuU8/pIg5Xr+dzfaGM5PuOl9CPfY9d2ujQ6Fmld5vJ0IVZ7DsKA3WYkIqGpErK0H/+G7G8PwoNfAKIgxC4jENlKb9b6x8bkCQkvM196cxrL8fjWe5v80XdXMW2Pa3MlxkppFqc9KkWdSj5FvW1h2R4//GQH/8OQ2Ykcty6V0Q/n4QbYrs+DzTaOG137p4k3CcJ+YVIQIpX04fU6vGyH+73D+77nvQ0MgpCV7Q6dvkM+o7IwmT/RRTghISHhLBiWwzff3aRnRuIYb197+LDsldlS3Pz6KDQ6FjuNPvW2xexYDsvxcVyH9d1eHBsdrnMc/Pq0pbjTc/g//uwurb7DjfkSv/j5BX7uM/OnH9CBFxzWWA7neEeOZ/DPIAjZaRg0OtYzc3ZNeHoM64iPyifLTT5aqaMpMl98Y5Jibn9o+0j8MHSykUVuXCpHgxnd/cENy/L4aK9Bz3Rw3IB8Jmp+Ked13rqqEAQhjuvT6DbZaxq0ujavL+3nP7/w+hRfeH0KiAaSJElEFAVEAfyB4nanZ9OzXPJplUohlTjGJLyU+EHIg802fdMll1ZZmi1gWN6ImJIoCEiCiCiAMEhKDPsWDzrPh2GUo+gakaPO/GSOckEnl1aRRSF2AbUcj/fu7NEeDG7F+4tDKcitvT67TQNdlVicLpBJKbxxZT8XGQQB3/3JNlsNg0pe44tvzjxVt+AwDFnd7tLq2WRTCpemC0ccCRISXgZkWeTnPjs38r1bi5XjHxxG9ct620ISBWYf0oh6pHfnIceyst2h1bVjJ9KTrrkwjAaZ99omAlE9cSiwKEtRPuPBZvvMeYK7600+uNdAUUSuzhZPPWjb9Vjf7eL6AaWs/lR7kT53a5LP3Tp+eONJ5XufJ6f1fSUkPG9EIRpEFQQB4YLe/1VZJKXK+EGApskvbN/WafR6Fv/8Dz9hr2OwNFPk//LLF8/0IXI4LbB4fr2PEZ7bCM7bb7/Nv/yX/5Kf/dmf5b333uN3fud3eO+99/i5n/s5/rf/7X/j7bfffl6H9lKyU49UWi7ijR0itbBhQ0nixpFwUVnb6dLq2thOpGZ+MEF5VuYncvEGZKyUIptS+INvPWC7btDtO3zn/S1WttpAlHy4sxbZbxuWx+3VZrzJ6BkOq9tdMrqC6wXUWgaKLNLtO1i2T6fv8O33t2h2bJa3O6xsdWl2bO5vtI8c0+x4Nm4ELed1Cln1yGOeFPOTOTRVolLQyWVUMimFS+ewZUxISHh8KsVUPBCmKuLDnSueM64XcHe9hWl79E2Xu+uthz5nebNDd7BOfv+Dbdpdm4+XG7x3p4amSLS6Np4foCnSSGzleQHffHeDbj8qwv75u5uEQRS4dwcN99Nj0ePzWfWFdSG4t9GmZ7hoikS77+B4/oX4W18UwjDkzmoLw/IwLY87a/v350JWo1zQKeV0NDVS67Ucl/fu1fDDkK7h8oOPdynktLgpstG12NiJGgF2Ggbfem+TvVYU+wdByJ21FntNk41anwcbbVpdm7Wd7jP/3OOlNCk9akBLaTKTlWQoOyHhYTiD+8pOvc+DzS7f+2CL3abBvfUWvb6D40YqqYszBSr5FK4X0DVswgA+XmmwttsjrSvsNA1sx2dxukC1mFx7CQnPkw8e1Fne6mCYLstbHT5aru//MAyxB4r4juPjeFGjkuP67DbNOJ+wtden2d1XtFzZ6tLuOdiOz9pOl+4jqN7V2yZbe31sx6fZsVk/oK4sCAKm7eF6AbbjM1XNggAIUY5iWHBVZDEu7goCI3v1YeFxGJPfOya3kJDwMvOjj3djt53eYKC71jSZncjh+yGfrDbxgpBa0+CDe3XqbYvbK41YHf04VrY6dHpRHm91u4thnawOWWua7DaMwZCYTKtnk9YVFqYixVtJEmIly7SuMDGI1UVReCyFyyfBTsOg1jSxHT/6HM2zqdEnJCQknMR3P9hht2FimC4/uVdna+/pukrYrs+d9SYPNqOY7e5Gi4+XG0fylVPVTKxCPjeRjUX5Urp8qrDdH313mY1an/4gZ/Txg/qJj4VI+CZuXhciRXZBECKFZiWq8+TSKpUDgjSVYopsWqHesTBtl2xKYadusPcIzu4JLwetrsX3Pt6mZ7jU2ybffn975OdjpRSZVDS0rakSk4f6E2bHs8iD5uxiTqPRtegaDg82OzzYatPu2dxbb+F6PoosMTueJQhCGm0TWZLomc7JjjBCJFLkegGW47PXNGi0LTZqfVa3utSa0d6n+YRdshMSXgQ2az0abQvb8fngQZ2Vrc5+HmFwzi9vddBUkXxWo91zCEP41PUxACqF/fqfafsQgu1E+/mPB26/ey0zFpAF0FWZqWomcpySRcZLafIZNXYXh6gvYW2ni+34tHtO7AJ4kE9Wm9zbaGOYLms7Pd67s/s0f1XUWiY7gz1SvW2xXU+c6BMSRFHAdjwc18dy/Ic2BM9N5JAGYi+VwZDXSey1THbq0TXXaFtsnuLsJgpRLtFxorxoz3RH1pAf36mN5AlOc63rGQ7f+ck2XcOh0bb4aLlBPhMdpyKLRxTTwzBy6HDdAMvxnttw15PI9yYkJByPCIO6S1TvcN0AUbx4LhZeEGJ7Aa4fYtsemnrxXM1+50/vsbLdoW9EQ8F/8oPV531Iz43n5sQBsLS0xD/8h//weR7CK8PWYNMxWb6YQxwAP/eZWd6/t8ef/GCNf+/nr0aKYQkJFwjXG5WcqLWMWHFiZjx34gagazhs1/vIg+T6p6+PE4QhsiSy2zDiInBKk0AQ6Pajom0wsDkc4vshYRg1UwyPRZEjdc+ULnNpqsDHy4348bbj46eCePrcDwJczz9yfNm0ytvXxvCDEOUpKmJAVDz41LXxWBVQEIREFSMh4RkjiQI3F8u4XoAsCS/8/dj3gxElkMNr8XE4g7XOcQNs16fRNulZHpm0gigKzE3kuHmpTDatjHx+LwjidTcIAjwvIAgCxooppqoZpseyiAJ4/v566Qch67tR4mmslKKUe/KDHT3TZWuvN3BByKLIp2/gvMHvSBAE5sZzXJsvUciqL/zf+qIQhpE71xDfj9QOh4nOK7NF5idy7NSzNHs2y5sdeoaLrskUsyqZtMrrlysIgkAurdDpO/RtN+qlFAT8IIwKLEQqukEQxu/nhyFBGJ7pOnjSKLLI65creH54IdaOhITnzdZen1rToN2zIYyU8P1B0cT3QzRV5tblKvmMiiyJ1NsmjuezUYvW+04vGhjPplSqhRQ//9n5R7ZwTXhyeH7A+m4P1/OZKGfiglHCq4NleyNfm87+HlsUBS5N5QmCED8IqbdN/EBElAQCP6Q2cEnLpZWRe/nh+3q9FTUlaarE7Fg2dtQ4jcOvcfDrMIycwzw/QBqobc4N1pPDrz09Nmg4PLRXd73zx+QJCS8T1oFrPZtSmRnPDBTfBEo5jZ7h0unZ7LYMwmAQs/sBm3s9JEmgmNOONPCedt0exj2w/8imFKqlPPMTOWRJxPMDREEYUa1cmMwzM5Y98v3nweFcZLJ+JCQkPC62M7qu9E8ZgjsvYRiytdenZ7rx2u15AYG/72wR+CG26484pLpegK7KvHm1Sq0VDe92+w7plEIlr51adzHt0ePvneHzTFUzjJdSIzGbrsm8dXVsJG85RBIFbi1WkCWRZseKczrJmvzqYtreiHK16Yzuc2RJ5LXLlRNrCGld4e2r+3XFd+/UgCiXTxjVI8NQGpyP0T5DlkSWtzsQRk1Xra7N8lZnRGgOgBDmJ/P4foAoCrhegCpGrwlRDh9OPn9t12d9p4vl+ISE6KrM7Fj2RHe0hIQXiYPnte8HeL545GeuFzUqvnVlDNvxuLlYplpM43oB67tdZFng2lyRvu2ysdsfvFYYX0OH3weglNfpmw6TlTTTY9kjzpuHH+8c029g2aPfsw7drw3Ljd09Z8ezqMrjNSp6h4/JPXpMCQmvGp4fUC2mKeV1EIR4wPgk8pn93h35IfnH8+Qw/CCklNMpZDQgijt2Gn226lFv1XQ1Q37ws+i1Tr5+LWc0ZrFdnxuXTu5zUBWJpdkCQRgiieITjXfPs46d5/eVkJBwPoIgIJNSyAzFJ3UJzwviIfOLQjqlcHWuQBhErkt903v4k14w+qaL7foEQYAiSXSMJ5efuWhcrLMv4ZGwbC9W/L/IirdffmsaVRZZ2+lxbz1R7Eu4eEyU0/uFTwH22lEyfrtunKiI7Xo+n6w0aXZsak2T+xttRFGIk+XLWx1mJ3KYjofl+pTzOkvzkSWdJAqMl/ev+YnK/vvns1qsghNtEnJkU8r+dLwANy+V0RSJtC6T0ZWB4vzxjV+iKDz1AY6D7yVLYmyZmJCQ8HxQZPFCNGHrmjzieDFVefhA61QlUhfOZ5S4eQbCeN0s5jRymaNDDboqx4rDmZTCzHgOURRRFZGJchpJjJJBB9fL1e0OO/XIAv7uWqTA9yTx/IBPVhrxfeQsMdRBd5F8Vk0GOJ4woijEyrYA4+X0kQbIRsdiq25wZ7VFs2MiS5FbVijAp2+MIQgChuXyYKuDIotkdQXT9pAlkelKOj7PZUmMnLvSCqoiUspqyJIYqzk+a4bnf3I+JSSczm4z2h9Yjo+mSISEZHQl3k/ksxqTlQzFwTUN4HkhPcNFlSVM22OqkkZVxKiJezw3su4kPD/ub7TZbRg0Oza3V5tJgfgV5Np8CXUwUKvKEtfmivHPxktRTCBJIromE4QhhuXR67txk1LfdKm3LZQDscNkJc3w1iqJAjuNKLbcqRusHKNueRyVgh4XZkVRGIkVqsUUihztwSNVzVR8nMchHbNXT2kyxdx+cXX6gjoFJyQ8KjculeKh7bQm88aVcbLpaH/Z7Fj4YUCzY2FZHrbjIwoCiiTiB2HUoLjZGXHggUGef3CpZQ7m9I6hUtDjfagkCUyW03EMIUvisYMaJ33/WTNWGj3WsQPK8AkJCQmPwo1LpTh2ymVU5sefnOPQdt1gfbcXr92trk1al6kU95WJi3mdhak8pfx+bDTMxfUtj+WtzsCxrcHKZpu1nR719smOF5+9Oclwuc5nVG5cKp/pWI+L2Q7nLQ8zfWBAWFXEEZX1hFeLsWKa6vCeLMDNS6VjH3daHvBgXXGqmgEhagRP6zK6Gu0fUgcGJ6pFnelqljAMaXQtKgWd3YbB/UMuf5XB/kUa7F+GcVgxGw1E5dMamipFDarHcHu1Sb1t8f7dGu/f3aPeMvlkpXneX1FCwnNh/EAvwngpTTEb3WsOnvPD6w2gXEhRykfX8r2NFrWmSbNjc3ejTTG7v4co5TWqhehxh2PyYQ2q03dpdKLhqsPksxrpQaOkIBxfp1uaK8YK0rIscn1+f13xg5CPV5o0OhZ7LZPbq49/TQ7XCoj2SM+rZpKQ8CIxzN9JoogkCGfK3w17dx5GpaDHrm/ioT6mw6iKRKWgI4qRsESlqHN3rUWzE7nmWI43mic4xbWunNdH+iRvLERry0kxylQlgyAKSKJINn16ruU8nHcdO5jvTesyhax26uMTEhLOjiyLtPs2PdOjZ3p0++6FG+AA+PT1sbhmM1FOc2nq+bopPwrXF0qDweOQkJDXF6vP+5CeG89UMuC3fuu3+Pf//X+fiYkJfuu3fuvUxwqCwG/+5m8+oyN7uRlah2VTCtknFGA8D9K6whden+LPfrzBn/xgjSsHCt0JCReBQlbjzStVbNfHtF2WN6Nmiq7h0LfcYy0G7UM2haa139w7bPS9MltkrKhDGFLI6nyyXOfW5SqqLHJpKh8nUjIphXrbxLA8SjmN8XKKjx6YFLJq3OB8faFE33JRBk0jph0pcEDk2pE6h9LMJ8tNOoYdHcMpG6eEhISEp82VuSI9w0EUhSMKQMdRKWis7ghYtsc7r08ShKBKImu7XTb3uizN5I88Z2Wrw07TYG4ix9X5EpIYrfum7ZPW5RMTWH3Tpd2zcb2AXEbFsr1zrbUPw3H9EVcmw3r4kMh4OU0uo+L5AdmUkjTcPwUWJvNx0WM4HNS3PP7Pb93HC0KuzReBSBFGkiQ+c2McLwh5+2qVS9PRz4aKdylN5jM3JvD8gLmpLIIgsNsymChnkESBxekCY6U0ry1WEEQBVZEeqp4zJAhCdpsGnh8wVkqf+LwgCPh4pUnfdLk8U6BSSBqrEhIeh4MDfa9drqIqIpOVNKoiYdmRnbkginQNJ07ea2rksNfp2diez63FCpW8ThCGVIrpE4efH2y2+PZ7W+SzGr/8zjyyHN2D1na6bNX7jJdSXJoqPP0P/Ypw8G8bBJEC7+MqByZcLEp5nb/605dpdi1KOT1uYoAoJnjrahXT9hEE6BsOrV4bRRJRVZnJUgbXD9AUaUR9rZTXeeNKFdcLcFyfd2/X2Kr30VQZTRHYaSg4rs9YMXWieqwiS7y+VMGwPTRFGjkvNUXijStVjIEDqO36/Ju/WAHgnTemyKYenmsUBIGrc0X6pnvmmDwh4WViqprlr/3UZbqGQyWvY3kBhuUShCCK0Ok7aKpEpVhgrKDz2lIVx/XpHlAfM22P0qAW1+raGJbHwkSedCoSXzlu4MKwPD5eaSAKcP1SGc8LSGnSQ90ZDxOGITsNA9cLTl1LngYpTeaNK1XMwV75WYnIJCQkvLxcmipQLqToGw6VYhr1Ca4rxiEXjK5pY1gu2YFC5sZen9mxLDNjkVjW4XylaXmxywBEeSGATs+JHf1uLZZJ6/vx163FCuPlNK2OxcxEnpR6tjXedn1qTQNZEhkvpc80uJcdxKt902V1u8u7d2pcnStSfArOwgkvNrIs8oufm6fWMgYNnyefA8O8+UQpzcLU0bw6RM3m+bSKO3AIC8N9QaUhoijy85+d5f5Gm+WtTqzAfVgUSVMkSnmNla0u09UM1WI6ztPLUuRinNbkeCDJ8wI+Wmlg2R7X5kt0+w7LW202dvtUiyn8gXuOH4SJsFzCC0/2QF4hrctx7ml4zre6FvfWWyiSyOWZPLm0Fq//B3sQhr0JB3MBIMQxec90qLct8hkVRRZHalAHr8lmx+Lueou0rlAt6NxuN/HDyD0+pckj+4p8WuWv/fRlmh2LQlYdudd5fjDinPEkxNCGuQ7T9tDV8++REhJeRs6bvwuCgI+WmxiWy5XZ4okDkhANZsxP5tlpGJTzOtnU6a+9NFtkouIiCtGgdKWYwvOCwWCHeOY8QRQ/zLHbNAcxwulxa7WYIptScP3gxFzLQTZqPTZqPaqFFJdnRusojuPz7Z9sYlgeb10bO9c6djDfm9aVJAZJSHiCOF7AeCmNMJhqLRf0C+nE8ZlrVf7t99dodi2++vlZJOnixTILkwX++qBeNlXOkkm9uu6Hz3yI42d+5meSIY5nzFY9sjm8yC4cQ372M7P82Y83+MaPNvi//7XXTlT9S0h4UVEHzRC6KrEh99lrmew0DMZKKT5abnBrsTKyYUnpCromxRai5QPKRsWcxuZenyAIyWVUljc77DQjVb6dhsEvvXMJ2G8O3a73WR2ocN7faLO60x0KbeC4AZ+7NYkoCiODJClNfqRm4h/f3uUn9+oA3F1v8Ze/eClJ5CckJDxXzjPI+p2fbHN/o43nh7S6Fp+9Mc53P9ihb7nsNEzWd3r8x7/6ZlwUXdnq8Gc/3gDg9kqTn3p7Om54fVji1/WCeOC2Zzp86vr4o3y8E9FVmZQuxwn48hkV8p7kIEnC8RwuRP7j//1dtuvRufDBvTq//MV5chmVTi9q0i7ldeYn9xOA+YyKLItxUmFxtkCtacQxQ89wuTZQq3pYMvQk7m+2abSj2GKvZfLGUvXY+Pv7H+9ye6BId2+jzV/98uKFHh5PSHjelHKRmmQYRup0V2aL8TXV6Fis70Z7/J26wfWFEoWsRrmgs9s0aHRtFEmk0bGZqmbJZ06+Fvdaff6n3/sAe1A8qLdN/m9/5TXWdrr86Q/Xgei+FoawOJ0McjwJynmdrb3o76epUtLI/oqS1mXS+vEul4ocNQ44js+Hyw06fQeAsWKK2bEcsiwiSQL57Oi1rasyugqtrsV7d2vYbnRdW46L7UbNFLWmyRtXKifGp5IknqguJ0tivJ7889//kHonig/ub7T5u//Om2f63IIgJPFBwitNNq2STas4jscff2cZ0/Zpdi1qTRNBiBqiLk9LTI9no8FMw6G71oIwUqkcqui2uvaIYuPV+eKxTQVBEPDH312ha0TryMFc4XlZ3upQa0Yq8LXBvuBZDlMosogiJ+tHQkLCkyOfVsk/hbikXNCjOGmwdu81LVwvoNGx+OhBnbFSmp26gSKLXJkrHYmNClkVWRLJphRaPZtcWkUQ4MMHdZpdG4DVnR5//acujzSYVAupWCzkLPhByEcP6jiDmLFnRo13Z0GRJT5e2eXuWguABxsd/upPXxpptk14NZBlkanq8fuaIctbbb75402AOHd40iCHrsk8LHMtiiKL0wX6A/cyYMSFG6Jmym++uwlhJFAhCHBlrnTiPug7P9mKnQOWtzr0DJfdpkHHcCKhu0ulgSp50jyZcDEY5hUAkIhFGgzL419/ZxXHi64dy/b44pvT8fPKBZ2dQX1i2B8gisJIblGRVRodK74HbO31uTZfJK3LsYDY8Jo0LIc//m70frbj0eja6KqEYXls7vW4ealyZF+hq/Kx64oqR4r4vcGQ++Hr/lGRT8mDJCS8qpwnf/cXH+6cOSbsGQ5311sQQrfvIInCvqvXCQxrm5OVFClNxhai9WtuIneuPIEoikwe4wB0EmeJSQC29nr8yQ/WIITbNPH8IK7LAvzvf3qXlUGMcWetxZffnsEf1GLOso4N870JCQlPFl2VowFRf3+w6qINcAD8vf/xL1jbiXpA/+H/713+wW9mmB07fq/1olIu6DQ6OsVc5L70KrsOPdPurI8//vjYfyc8XYbNYBPnCEpeVD59fZxCVqXVs/nR7RqfvTnxvA8pIeGRUGSJ1y5XePd2DVkWyehKvGE52GgpiQLX50ssb3XQVZm5iUhyzw9CTNtjdjyLKAgEhNxebWHZHoIoUGsdtdceNn8AdHo2fTNSgDIsl/fv7XFtvnTsDdFxPFZ3umiD9+/0HVzPp5DVYmX5ruHguD75TGRHPGxIBvD9kJ26+dIPcYRhSLNrIxAN2CTK9QkJx9M3XUzbI5dRj6j6W47H+k6XlK7EinSPQ71tUm9bjBVTBGGIKAr8/9n7ryDJ0jQ9D3yOPq5laJm6MquyZFd1d3X3TPdMD0dALckxgAYjjQAWd7Mw4IoXvFjygjTjBQ28gNGMRhptwTVwzYbcJXYxgyEGwExPo8V0taoulaJSRWToCNd+/GixF7/7ifDMyKzMrMxKUf7cVEVGhPtxD///8/2feF9dVXC8kJypYnvCblWWJTw/ImtqOF6QDrypikS5YFDKG4RxnFo5D9yQZsdmcVrsybvDgdkRu037gVXLdU1hYTpPEMTkMhpBEMEjNtwfhyxLXFit0uy5qIr82JLbEx4PtuuzuT+gmNPH7p2uHzFdyXF6sUqr7xJGEQqwfWCxOIwFwhi8IMBxIlbnS5j64dAnQNfyjn1OywlwtODaogABAABJREFUvZBiTv9M9fejsYMfxEK165ghjr0jayAMYxpdZ9KkOWHC56CY03n5ZA3LDsiaKl4Q0dzpkcuodC2xLh0vJAgjml1XDHHkdZpdhyiOOblQQpEl+rZP1lDF8LYEK7MFZPlwDd/c7qcDHACb+xYghCDCMMYPIzRVYbcxeOghDtcLsZxg2Kw+GVQYsTRTSJW8qkVz0gQy4S5sN8B2xfrOZYTam4RooMhnNTb3LS6eqmLqx6d0O5ZHpZjB9UJkRWJgH6q6hVGM7YaU8g+vyDRa06ospQMcAO2+h+X4qRtHHCe0+y6yJFEpmmzs9dhp2JxcLD1UY+GD4gcRvYGPaaiPPLQ6YcIXTXfg44wGr52AgRcyV8lQyKiszhd57cw0iiJTKZhcWK1iuyE9y2P7wGJ5pkBvMB7n9wY+xZzBbtNir2kzV88xV89ju2E6wAGkucK+7eP5Iq93r0GMKBaCBqoiU8ob6bnAsn0SxLm+XPjyFtUmTJjwfDGKr/JZ7Z4x1OPi6N6dy2h8fKPBwAnY2u8Lt9yhkv9u0+b0UuWu31cVmfmpHIWsxkurFWRJNK1eWmux1xygqTL1JMN+28ZyAgxNIZfRyGW0hxJk8fwwHeAA4fTxoNhuwM3NDmEUoyoyfhjR7HqTIY4XmFHtC6DyALUvL4joD3wyhpr2KID47Pziyl6ab78Xnb5HFMeUC3efmaM4oWN5zE/lSZIETRUx01H2WrbIaQQRmiqz27QpFwxaPY+Zavau595v2bh+SBwnxEmC6wdUhtcoSTA/lWNx+vlqhpow4ShRFNOxPPZbdjrAAbDfHu8lWJktpo441aJopHP9MM1PZk2NOI65dLNJu+cyVckgyzJ9O+DUYpmPrh+QMVSWZwo0u0LEcvR8Hcuj2XGolTIEYcReY8DJ+RKOFz5QE7YkSZxbqdLqusjy4xvieNLcbz+bMOFpstsc0Bv4LE7n7orhRvkARZYpF4z75t72jtznj4sJwyima3moiszADeDQtIeu5ZExVJwHqFdmTZ3f/foqt/f6FLJ62jN1Pz68fkAQRlw8OYX+gE51D8tu0x57TbvNwdgQx9H+AccLqeQNClk93ceCMKJrCWfWyUDZhAlfHGEUc2ahwG5jgCRJnJjNEcfJA7lTPkvst2z8ICJJIFYjPvz04Pkb4iiaXDghcijFnP6Fuj8/a3x5X/mXiFFT1dwLMMShKjLfen2BP/7hLb73i43JEMeE5xpdU1ieK6bT10iQz44ffKI44dONDo4b0sVHUSTm63murLUYOEJtYqaWZaGex/FCOsNE6vzU3eu9kNXT7xfyGpm+QtfyuL3Xp1ow+D//co3f/urKmIVgGMb86XvrabPYVCWTJkRNQ+HlEzWaXTdVqTE0hZdP1ZiqZFOFPkmCeuX5SKZ8Hq5tdNL3t1o0Ob1UfroXNGHCM0i753JtqLKhKjIXTh42oLl+yJ/8eA17uLe9dqbOxdNTj/xcm3t9vv/+ZtpIduFELVU3rZUzbB9YzFZz2G5AGMXC3ehgwHw9h+MFeEFMPqNhGiqnlkosXM+zdSCaW01doVY+dDibrma5NlQaAZipPrj7WSGrMXA0MMXARcZ8/OG5oshMV55/R7YXDdv1+Zc/WktV4wxVxh0W0HNZlcWpAnsdm2bX5ReX94jihHrJ5JVTdV4+UeOf/cklDto2vYHP8myBr5yfJYri1CmjcIz6frPrcGOrK9agKvPKydp9E6OFrEa7J+5tmirfNXg1YqqSTWMFRZGoPoEmzQkTvmxkTY2sqXFlvcWtrS7Nrksxp1MtmVhOQGMYa5u6ylQlyz/7Py9z0HaGg1oxb5ybIp/R+ItfbqRNE2s7eb7z1lL6HMszeTRVJhgOcszVxRmimNXZ7zgkSQISvHX+4VyibDfg0q0WcZwgSXBupXpfR5AvG59l2T7hy0vXEur6SSKGITRVQR42SA1cnz/+4U2SBC7daPIf/5Xzxw5FVEsZdE1GkUVu4WiOQVGkR3Jbu3NNZzNaGrOX8kY6wAHw6UY7bQLs9j3ev7ZPksAPP9jib//2OWZrn39Qe4QfRHx8s0k43MNOLZaoTWKQCc8BpZyOoSviHJAkWLbPviQhyzBby40NVuSzOpfXWlwdKldfXmvxtVfmxh4vb2q8f3WPH/xqGz+IyGd1vvPWImeXKmPrtVYUTb9r2yKHp2syL5+821EjHqqzj5R05+o5Clmd9Z0GvYGPLEts7luTIY4JEyY8F3Qtj6u325CIWOjCidoTd58dOS+BGNzbb9l4QYzthYx6QqbKx+fprm20j+RXZE4u5HH9kGu32zSHTqn9ms8PfrXFwA1odFxOL5RYmi1wfrX6wIIahqaMnQXvrEvdi9H76YcxB22HejlDxlSpTO4JLzTXNztpfrBSNDhzzADSCNcPuXSzJVRtJcgYIpfYG/jc3u3hBRF/8uNb/M7XVo89G6/v9tKG0FzG5sKJajo0EsfJWG10tpZlunJ3k1Ihq7HfPsxpzNWz/OlP1kmG+8Cdzy3JUrq+Mn7E4mwO2xb52mxGY3G68Nw1dE2YMCKOEy6vtbDdEM8PGLiBEJYEauW71+DRteF4IZ/cbKa5gLPLFX52aY+bWx3afY96O8PF03Vypsqf/+w27b5HkiRcWmtxYq6E4wXYbkCcgO2FxElCs+cQxwm6qrB9MOCNcw/e66PIElOV5+fMf3u3l+Zkcxmb86vVyV4y4Zng6lqbn13eBeCDawp/5RuH7hl33mtrJYPuIBC5NwlOLYzn3qYqmVQ8QlXlsZhQOL+1cDyRWygXDJBIhx6iOOGTW820Z+DlU7V71iBBxNgXTtQe6DX+H39xjWu3OwB8dL3Jf/K7L6Eoj3+QY7qa5ZObzfTrO/eo6Uo2Vck3dYW5aobMMI8ahDGf3Dx0xludL05q+RMmfEGoisy/+OF6KnjTs32+9ebKU76qhyeKonQPCWM4MVd+uhf0iBzNoXyZeWpDHLdu3eLg4IB33nnnru/99Kc/ZXp6mtXV1S/+wl5AdoZDHLO1F+OG/523lvjjH97iJx/vYrvBRNVzwnPNTDWLLEnYrlCwu3PC2nEDHPdQObPZcakWzfTgBNDoOMzVcpxfqbK+20NWJFbnDqfP20OVzLl6DkWRcNyQSrHK+dU6f/zDG9RKJsWsjueHrO/2qBRNXD+kP/DxgzAtGsRJwqVbTb72yhyKLON6EZYTjLl+eEFE1/I4syjUfx0vZGW28EQaKWw3QJakZ2ISM4ridIAjSRK2GxaLM/knruw1YcIXQTx0/tE1+Z6W4w9Ko+ukyZlwuG5ma2Kd7DXttLkERHHo5IKwYb5T3SuKE1wvRNcUoigmThKkJGG/41ArZ8hndNZ2eiTJyLko4qDjkNFVBm5IIavhuCEDN6A/8AlD4bLheCG2F3J+tcpuy2a2luPUYokkkfgbv36Kv/xoB88P+erLc2SOqHacmC+RJGJwdqaWo5jT6fTdB3IgWpopoGsKXhBRL2Um+8aXiO2DQTrAAfDG2WncMCQIYn7tjXliErb2LZodm/7AI4pF4fPWTo962aTVc/EDYfV5fbPLuZUq9XKGct5AUaRjB7ibXfdwDYZCget+ScGTC2X2zAFBFDNTyaYDInfyzoUZcqZYX6cWShSf4kH7WYoPJkz4vARhRM/yafc8/DAa3lsMwjBEUyWmyll0TeHyrQatnoumyeTRaPcdziyXhYvGETWsrX2Lrb0eqqpQKRoUsgb/ye+9xHsf71LIGvzOV1cYOAGGrnB+pULb8ijlDUq5h2vIafVc4lhsNkkivp4McUyY8Nk0uy5eEOK4ETlT461zU7T7Hpqm8PG1A6I4IY4TkiThyq0GL63W0HV17L5bzOp89+1lbmx1yZkq51erHHRc/DBiqpz5TBeuo7jDJos71/S331zg6nqbJIZ/72uHg2F+EI2pOH90s0EyjDuCMObSrfY9hziSRJw5FOXeQ6N30rX8dIADRG7kaO5hdGYwdCV1EZ0w4VlA11V+651lLt9q4bohSZKQJBLFvC4aHu9gJJwC4nPu+BHLc3l2DmzqZYM4EecGPxBnC9sNWNvpceFEjX/vnWU+udlEUSReOVXn5laXMBJniDhR6Nt+qmIbDBWr4zhJBzhGz/namSmubbQpywalnI7tBvhB9FB7yqOQJOJaNFV+4s81YcKEF5OjeZAoEkIvGUPEI14QEUUxGePu3OODcr+8aRwnFLIaPUtB10wWpnJUSxnmatljXThGSrwj9lo205UMm/t9TE0RYh1JAkORGseLSJKEvZZNvZLh2maHiyfrqPdwWTqKosicX62y17ZRFZnZBxQBbHREbvellQoZQ6WQ03jnwiy5oeP7w8RyT5tHiT+fJ/wwptt3yWV0sp9DNCiK4nSAA6Dd81JHmRFH79edvncYzyRCoOLdV+f53s83WJjOUymYRFHC2k7vriEOL4jY2rdQZAlJklJH75HbcClvpLXRJEnYPLCYqeXu+vtlTY1zyxUaXZtK3sR2ovRcctxzL88WsJ0ALwhZmS3y2rlpbm11ieOEl0/WxhxNJ0x41ml2HRRZSmtTthemsb2ha7y0UsHQVTKGysv3aIYenaWbXSfNBbS6Dh9eD9ltDoaOHAk922d5Jo8kSalbTxDG7LVtTsyVyBga51Yq7LUcKgWDYk7jo5tN8qbGwlSOXEZn4PhoqpnW++7lFPh5eZx1zgel0Tl0MR04Aa4fTvqaJjwT3NzuEsUx0TDHuH0w4PSSyC26fsjACfD8EFmWWN+1yOgKlhNg6mrqCu75EaaupHGg44WcXiyRz+rp0EYQxun/jx777FKFruWRy2i0eu5dPQMPI5J4P24cEV7ca9m0LX9MDCcMY9r3iZP8ICII42N7FI6yMJXnW68vsH1gUStnxlw4AP7975zhR7/axPFC3r4wkw5wAPQG3pgzXqPj3FWvDULRoJ0x1MkQ2IQJj5FG16bv+Iw2oXbfxbYDsg8obvCsUCkZDDzhKFjKanQG7mf/0jPIKCdtGupz61z2OM7fT62z5b/5b/4bVldXjx3i+N73vsetW7f4H/6H/+EpXNmLx6hpY7b6/DtxAJxZKrMwJdSwf/zhDt99Z/lpX9KECZ8LMZF9/JCDrilIEmmC0TAUdE1BlqU0cWLqKooik8/qnFupAqRqUj+9tMunQ7W+cysV3r4wmz52MadzeqHM9Y11Gh0XXZN558IMnb7Lv/7pbXw/QpETwjiBRKLRsQmjmLWdHkvTBQxdwdAVMoaaJk6jJObmVpckEYryr5ysPZGJyVvb3dTpY2mmkKoGPy1kWUJTZTw/YmO/TxTFfHyjydnlyqRhbcJzTXREcUOWJc4sle9rdf5ZiAGFw6LPUeW7Yk5PFTgcL8QLIj652aSY1zm3XEmTJKIBrInnR3QsD1NX8IOI9z7eQVXFvvQf/dbZ1IVAliRkSagOa6qCHsWoigIS6KqMpspIEmiKnP6bLMtcPFVnda7IpbUWjiuSVV+/OHdPO9OTCyVOLpT4ycc7/PjDbQAunKzx5rn7q5dLkvTAhdIJLxaFO5qip2pZ3r04z9X1Nht7A37y8T6dvkur67C+2yeOE/qOTyGrUcqZKIpEFMfstUSs/8+/f51vvbbAa2emOLtcOTahZ9xhGfxZ6pOKLDE/9dmK2bIsfy7nnMfF+k4vfT8Wp/MPdO0TJjzLKLJMEEY0ug5928fzI/ZaNpYTYuoKrhdzZqWMbYuhRBAuPIvDxogwjNF1BX84MHZrp8vWv7YIg4haKcPr56YpZHX+49+9QJIIZT7HDenbPoW8zszw/vSwQ1F37i3mE7IrnzDhRcPxAt77eI8wEgPGv/8bZzk7POOvb3fprLWEeqwMN7Z6rO1YIME7F2bHioRTlSxTR4p+j3Je3mkMUqW4O5sodho2rif2lStrHb76ishnqIqMqshp01a5YKTndoD6MSqfIBqwPr09VJ0+RtXvXpiGcsfXh3vP0TODokicX61OmiUmPFMUcwaGobDZ6LPXdsibGlOVDMVjBicLWR3Pd2j3XNwg4vLNJlsNiyhKsJyAi6dq9GwfiYQECU2RyWdGbjw6Xz3i3BFGMTe3hTOfaai8fFI0blm2z5X19tAFaPRI4jwxahaYH7oAg1jv9xrwflzEccLV9TZ920eS4PRieeJmNWHChIfmzrNIZiiectSptJTXOXsk9/igjNTNB06AJMGZpcqYS5EsS2wdDMTzIOoYf/3X5u/5PIp8GEv5QcRuy8b1Q25td7DcAFWWKOYMijkdWZZQFfE4YRSLwfyczuZen9/++gn0B2iCNQ2Vldm7XQzux+isJ8syJ+ZLnFkqUy4Yhy7lEpyYKz3zSulJkoxd88n5EvXys33ND4Prh/zpX67Tt30UReI3vrL8yE2Ro9rXyLVFU+Wxxpo779d3Nh+ausrSTIHewOPjG4dK1XfWGBodh5vbXbYOLFRFZr6eQ1Fk/uznt7l0swXAyyerzNbyRFHM1oFFksAHysFd5wdZFu+Boal4QUSlYGAfaSK987nDKCaRQNdU+k5AIaON1VInTHhe+PGH29wc3nNePlnjjXPTGJo81lMwU83x0mr1no8RRnGqnD9wAxRJ4vJamxtbHTKGqJ0tzxSxnABVkdht2ZxcKIlaRSQGvLJHzuYztRwL0wVaQ7ebs4sx1aLJXsum79hcXmuhKhKyJKMoEudWqulZ5nERRfFYne/cSuWedb7HiWkoWLbYO8VeOsmPTng2UBQx2JAkoiZ+dD1oqsJey04HKOslk49vNtL18+7FOSw7ELlLTeH8iSqvnTmsDW7s9dlpCJHpStEY63MydZVywUjjZccLU5FU8f3Ht0YKOSN9DZoqkzsyPOH6IX/6k3X6AxEnffvNRebqh7XEZtdJ+53u7FE4jpW5Iitzx8fUGV3hu+8cr+5v6uqYM8mdNZVO3+PahnBszmU0XlqtPrfNzRMmPGuUshqW7eO4osaRxDx3AxwAsqSgyDKKBEEMM8/4Ofw4Bk7AlfUWUZRgGgrnV2tPbKj3SWG7If/qJ2vYToCqyvzmV5bG6nMPylN71R999BFvv/32sd97++23+fjjj7/gK3oxieMkbWSafcpNzo8LSZL4zlcWAfjeLzae8tVMmPBk0TVFDALkdWolk1MLJVRFHjZS61SLJqeXyiiyxMmFEuWCMbQzLuOHMVfXWuljXbrZHFOpBEhk0ViRywjLaz8UtoajRq8wgplKFlOXqRRMvnphlpypEcYxpxZKGJrCymyBqUqGfE6jVjTTg1gcJ6kT0OPEC6KxRpCtA+uxP8edjNRO74UkiaSPokioiszCVF68/sbjubY4ToiOUWOcMOFJ0+m76ZDW41jTC1N5ZmpZinmd1bniWMGkUjT5xqvzTFUy5DJCoQegZ/n07UOHjmbXwfMjoiRhv23T7ntcu92hOwiIohjPj/jZpT0unqpxbqXCTC3LN1+f5/xqlTNLZd44N00pb/D1V+aYrYuE9cXTdWqVDF97ZY6papapSoaVuSKtnofjCgXiOE7Y3Oul++NxuH7I9SPqHpduNYnje6/dUeL8uH9Lhs/5WTzoz33WPjbhi2emmuWdl2eZqmQ4uVDinfMz9AY+fdunbQnVulQRUFcxDZVCRkdRZYp5nb/2rVOoikTG0ChmNRRZYqdh0bU8egOhincn8/U8M9XhGpwvPlSx4ln/DAXh4UALMCzmPrvXO+H54ml9/mVZopDTma/nMDRZqLgOfIzhUHfbctFVhVxW442XpikVDKoFg7/6jVOAsDD/jbcWma1lyWdVVFmCBGxPDB4P7OGe03NpdJ3UAbCQ1dEUhWJOZ34qx/Q9En93ni1G1EoZFmfyFHM6c/XcY1PQmjDhRafVczENFV2VMXWFRsfGsnx83+fsiQqL03nKeZ3l2QLuKCZN4OObzfs/8CNw9JwdhLGIH3I6U9UMe0fOBNc2OvihUO8bNUOM8hK//50zvHK6znQ1w9cuzvHq6alj91PLCQ5Vp5MHO+OHYUwhq3NivkQxrzNTzbI4fehIOjozgFDbPepK9LA86zHQhOeTruVx/XYHQ1MoZnUSEnRV4fRiCd+P0nNeFCd887V5pqsZNE3m5RM1DroOzY5L3/ZFk2/TZnG6wEurVean8rx+doq3z88c+7yyJFPKGWRNlXLeSO/lu007PVcGYUK9lKGY16mWTE4ulAAhrFQpioaLUS7yuDPHiOO+d/Ts+lln2dHZSPwsbDcef45xwoQJLz6ztRxzdeGauzxbSIfBtg8GacNU1/KxjrgDPyhdy2PgBOl+tnNkn/LDmDCM6A2EAI2hKXi+EK25k9FeeDSWikmYrWZp91x0VeX0QolSXme2luNv/tY53r04x8psgQsnqmQNhXxGI6OrdPoea1ud+173g+YSj+O499N2jzTgJbD9BdRrHoWj96WBE4xd8xdRY/oiubnVTe+hUZRw6XOcF0a1r1HT5ShnP+LO+3XX8liZK4oYvXY4XP7q6TrnVipUSyavnamn8cWIrQOLJE6Yq+WQJNA1maWZPJ9cb6Q/8/GNJquzwtVakWXhQpzAxn5/7LHCMKGUF/FOMW9wcrHEuZUK9XJm7LlHcZCqiAbWrKlSyhkE0ST2n/D8Ybt+OsAB8MmtJnGcpD0Fo9j+1OLh2jsur9fquungds7UUBXY3O+TMVSyhkYcS0jDocJXTtXxg5i+HfCt1xeYrmZYni3ye984cfh8CyVW54piYD2v8/VX58llNBRFDIkPnJCdhjivi7P73TH/6Ex+v7PH/RjV+UaPtfMZ54rP+3wjTi+WqZbMdFj0eWtInPDiMfpMz9dyzFRzlPI6JxZKqKpMHMeEoXDtLGQ1sqZKPqtheyGGdijsur7XS8VbvCASLm2IdTNaX8JtNKHd8zi5UCKf06iXM5yYF/uPP9x77tcz8KiMYtz/4Nunh0KwWf79b58moyvp2r613U0FsaIo4ZPhsOjo/dluDNJ+p1GPwug1PQr3ir1zGY1TCyKvOVXJsDxTGPv+zpHrGDgBPcu76zGeFz7vfjphwuPG8yJKOR1VEeIIxbyOe8SV+Hlhfkr0cqqqxHQ1S/L0xgAemZ3mgCgS+6TrRTS7zmf/0jPGjc029jCnFA7FxR6Fp+bE0e/3yWaPL+Sbpkm32z32exMejlbPJYxiFFmiXnpxlKq+/eYS/+z/vMJHNxo0Os4LpZAyYcKdlPJGemjp2z4fXW8SRjEztSwrs0UO2jbf++Umvh+xOlfkm68vYLsBl64fsNuy0RSJneYAyw7pWC5/87vn0mnyjKaycESlutNz2W7Y7DQG5DMalhNgaArnVqqp0k4uq6NpMte3usjbPebrOTp9jyCM0bXxoEB9Aqp8wkr5cGp/pDj1pNg6sNg6sJAlidOL5TE1raNkTY0zSxWOnt8ex+vfblj8/PIe/UHA0kyet16aIfeYVUgmTLgXd36GP+9nWpal+yq8nZgvcWK+xJW1Fr1hAkU87+E6lyWJzf0+thvS6DrkMzqqJuO4IUmSoKny0LFIvksxq9N3+fNfbGI7AbO1LN9+cwk/jLi63iYIY2olhZdWDlWIFEXsAQMnoNVxaPQc8lmd189O8+999W7lDFmWU8UhAF1R7mm3vr7bY69piyT6cplCVufmVpdGxyEIIyRJDIXN1rIs3+M9a3Qcbm2LmHlltsj0PZpkN/f7bDcGn7mPTfjiObtcGVPO9oefHWX4udF1hXxG5/pmF8v16QyTdJ/cbJLPqCxMF9g6sLDcmNgOMFSFn17aZX23R72UoV7JcG6liq7KqcKguK9XHkpZ//Zuj92mjaJInFl6Nl2mZFkaUxVTZPmhVTQnTDiO3eaA23t9ZEkMTVe/YAXoQlanXs5we7fP+n6XTs/DNDRmqxkkSecnH22z07KpFU2KOZ0EiT/96RpfvzjH8kyRejnLd99ZoWt53N61cLyQIIgYuAE/vbxHMaez17QpZIXt+ajBYn4qlxZWjuPfvb/J7d0+hq7w7TcX71IVma/nma8/0bdmwoQXDkWWcL2QMIqR/Ij/3/evs7Yr9p+vvjzDdCVLpWAiSRID5zBWNp5AI4CqSPjDe6okwcJ0HlURRd33NCVt9pAkuHKrietHQhVu5TC28YKIpek8U8Nm8I29PjvNu2PShzlz7DQsfvD+Nn4YcXqpLIawjxk0u/MxlEfMG+w0BmzsP717wIQXF1WV0TShZJvRVXaaA35xdY8PbzSYrpiU8ib5jIamypxZqvDN1+apFIRwSt/209h39Fg5U+OdC7PomsyV9TYf3WiSz2qcW66MOWYYujw2XDn63p1rpFI07/q8m4bKmaUK67s9PrnZYLdpUy2aVEsmL61UUmXZMIq5ut5m4ASpQIMiS9zY6tLqumiqzFw9x9aBcBMZ5TePe4/Gvn7C+b8JEya8mMiyxNIdDVFw9773KDlPVZWxbJ+dpk2SJJxcKGHZPn/2s420ntDsOiRSgqYqhFGCeiRPOHACrt5uE4YxUxXR2JbLaJxdrpDPaGzuW4RRzE5zQCGjcW6lynfeWqKY0+n0PUp5g72WzcCNuLHdQZGFG3GlaJDL6mN1nxFdy+P6ZocoSpir5459b+7Hce+nokhjKsJ37t9PmyhOuHa7TW/gkzHUoRjXk69jPU3urNPd6cz7sGRNbSx/eZTR3ztOhDv9wAlYnM7za68v8vMr+/zg/S0KOZ1ff2MeU1eplzKoikIUJ2Nq0n4QcWOrSxwnVAoGhqbwb99bZ2N/QClvYOgyrhdxY6vD0mwxrVfuNgf4YUQcw5nFMtsNi/XdPl3LY7aeZb/lcH2jy8pckTfOTaMqMs2uw1/8YgPHi1iYzlMvmWIgZPSaJirXE55DVFk4zgdhQrPr4HgB/9/vX2dxusCZ5fJY3eu4voIRd94f56eL1IomA8/n5nYPP4zIZ2TevjBH1tQIwphrG22yhka1aLK+22frV1ZafxvtEUdzjIampA29vYE35iiu3bEf77dsbmx12Ny3KOcNFqbzd51xPvO9UR/8nn/0+SoFg/mph3++EbqmcHqx/NC/N2HC4+boGT1rqqiqwvkjjjzbBxb/+r11ojjh/EqVbEZL3Ww7lofthuSGX2eN8R4Vz4/45ZV9wkjEs33bTwUh52o5+gMfaxDgKsIZ671Pdml0HApZnd98e+mhXeHuhe0Gaa1/NED2t3/7pfT7R+vkd/czSXx0vYHjhRSyOsoddcV23+Xquhj0WJkr3uU6dj+6lse1jQ5xnDA/lRsToAEhhnUvN+I7964n7Yb6JDguP/Sixd0Tnk9UVcX1Y8JhX4bnR5jmU2uhf2T2Wg69QUCSwG5jQC7z/L2GJE5Y2+niBzFZU+XEwuO5L3yRGLp6368flKe2O87MzPDhhx8e+70PP/yQqampY7834eEYBUjTlexzeVO/FzPVLC+frJEk8Be/3HzalzNhwhfG+s7hdPte02bgBPz88n6qDL+202Nzrz9M8CecX63S6rn07YB62cT1Y/7sZ4cONm+cnWK2lsPQFWbr4r8rswWqRZODjkO1ZLI8W8ALorR4XMjqQvUzEdPsP7u8lyZM/SAml1HRhirhdx5EHgeqInNy6AKSMdQnmgBx/ZCtfSt9rWs79x8wLBcM5uo58fqHalSfBz+I+HS9Tc/ySZKErQOLjb3+Z//ihAmPiVL+8DNdyOp3qUA8KVbniuSGe87ybCFNFgHDQQ1FDDhUc+iazPJMgbmpLIauCIeie+wL7396kE5B7zZtbm53ub3XT/ewZtcds24dWcmqisz6Xp8oFv/2/tV99lt3q/nqqszXL86RNYRCyTdenz/2OgZOwN5QDTiMYtZ3enQtL1Us2T4YpIpDu00b271bDTBJEtZ2eiSJuKa13d6xShauH6bqgnGcsL7TO/aaJjwb5DMaizN5ZqtZ6uUMF0/V0HWZOIlRJBkJaPZs2j2XS7da5EwVXVNIEmEJnBAP1a989lo2rhexfWDR6h1+tr0gYnP/wRUGbTdI1auj6Nn9DCmylLqEmYbC6aXy076kCS8AQRhze7ef7qGjwbkvksXpApYb4IUhJBKGrhInMbYXioZvP0qbgzZ2+5i6QhDE/OrqwZiTWylv8OtvLZI1VUxDYbqSRVNkOn2Pvu2j6woJEMXxZ8bxm3t98b4gkpu/uLL/pN+GCRO+FExVhNuFrirECVzf7JIkovHsxx/toqliYLiU17l4qk7GUCjldb52ce6xX8vpxTIZQ8XQFE4OHUFBDC1/49V5UdDNaJxZLKeuIAMnGHPF2j6wcD3xvWbH4fKt1rFn64yhsjxbQFNlchntvgNkP7+8hx+Kx7y+0eGgfbzDRq1kMlXJoKky5YJxbBPjZxGEkTh/j655+9mMgSY8nxSyOl85P8P8VI6O5WEaCmEY0eq5HHRcPl1vp7m923t9DjouJxdK6JrMueUKF05WmalmWZjOc2qxxOJMnlxGY6cxSFVmLTtg7441sjxbJJ8VZ+2F6Xw6nL04XaCY19FUmZla9p4DS6OzbGeoPr/ftnHccEzNdrc5SB09R/tC1/JpdV1AxFe/vLqfih+M8pt3MjobjfaGlbnnr4g3YcKEZ5fRwMQo95h5CKGLEYWsThgnyDKYhsjN/PLqPu2+cEvqWi6SlBAEMaYm6i/SkUbV27v9dDD2oO3QPaKuO1PLUS2aaKpCKadTyhtp/qdjebSGOUzLDsRwHxIDN0CRJeIYtvYtXP9uJdH13V66/+40Bqna+ufB1FVWZ4vomiyaLuafrf36oG2nYkGOF7LdGJAxVFbmDq/5TleI553TixWRI9MVpqsZXj87/cSeK5/RWJzO0+559O2AUt7A8SL+5Y9vpSqq/YHPv3t/O/289W3/rjhekiW0YR5eUxV+fmWfBInTS2Us2ycIIt56aRpJktlpDFieLeCHEV4QMVPNEYYxH91o0LV8SjmdjKGytT9AU2SqRXPsrPL+1X2c4Tlla99CVcTnQNdkVuaKDyV8M2HCs4Kuq7z76jxhFCHLErVSBtsNaffdu86yv7hyd1/BiFopw0w1i6bKlPI6i9N5fvebJxg4IVGcMFPNEsXifqKpMlEckxk2qn3waYODtlj3o/rbcRytpS9OF3j5RC19voXpw7N7FCes7fZodV08P2K/bdMf+Oy3H06huVIwma1l09r90szx+YHR8zWHz7fberTnmzDhWWO/dXjmtt0QXRM1f02VmZ/KcflWW8SHCVxea6W194yp8o1X5zmzVMbQFaYqGX7zK4uUCwaaKjNVyWB7wWHvUsvGDyI0RUZTZPxQrCMQtfAffLCV1sH7ts+HR9y2Pi8bR2r9ra6bCuIBuN54nTyJ4fSR1zRbz4/FKLmMlp4TFqfz7LfstBa/vtN7KEe7tSM/v30wwH2I2Pte+ZvniZ3G3fmhCROeBYI4IYpiZAlkCcIwIgge3p3zaXM0H+v5ER8/xn31C0MSPaCKIqFpCslz6NxzerEkelh1hdlaltfPPtrMw1M7hX73u9/lf/wf/0def/11vva1r6X//t577/E//U//E7//+7//tC7thWJv2AA4W3vwadDnhe+8tcQnN5t87xcb/IffOT1R2p3wwuAMFTcbbZv56TzvvjLLXttFVWR6A5/thlCqqxRMPuv2NV3JcuFEjQ+vN/CDmCjyiWriALPTGLDfsoUqzhsL+EHEjz/codVziOKYStFgqpxBkiQkSWJ1vkjW1PCDiF99enDXc+23bW5udZmuZvn1NxZSt4/7EcUJt7a6DJyAUsFgZbbwQGv5flPpT5IHcUlcmik8tILVwzznIzo1TpjwyDzuz/SDYBoqL5+sAUId44NPDzAN0UAmSdKYcuhUJYOhKVQKh00mujauLtbquWzs9dncF0kcXT1efazVc/nkZhM/CHnvk10sJ2CunuPt87N8dP0A2w2I45jMUGmkb/vDQYqE5Zki5YLB6lyJ1bmHK/x91rK+17pvdh0+XW+TQGqD3e6L1ypJEqtzxbuUi5LPfLYJXzRhFHNzqEo7cH0UWRQsV2aL6JrEjz/awXZCkEGVZMIw4ZdX9uk7AaWcztJMEcv2yWY0JCCf1UgSaPYc5C0JP4gorAq1vCiK2W3aNDoOhq584Wv7SVMpmlQmCtkTXjA0VWZpusBeY8BOY0AQxZi6gqaKAcOe5SEjUcob5LMakiThhxE7jQEfXG+wOldMGzFPzJe4PRr6SyCX1djc67PXtpmtZZmuZHnlVG1sePI4JneSCROeDJqq8NoZkeDd2rf48YdbBMHQEdPUxoarTi6U+PqrYmDYDyKurLfwvIipSgZZlthr2uiawslFMeA4YuvAotF2MAyFUwulVDkf4Ccf77C9b1HMG3zz9Xkunj7eTufo+WBjrz9WLLgXSXL/vWO2lmN2qH7rBxFX1lp4fsR0Nctc/VAV984c/r1y+pIk3XcY5FGYxNETHjfNrktuqFiryBLbBxYQEwSRGMBoDbiy3qRSNDENlXxGJU6gVjT5tdcXH8qldSQC0LN8clmh5n5U/VpT5TF13ns+zpHHa/c9kjhBVxWmj3HEOfrcd66fB81tCWevhx/CmjBhwoTPInMk9wgMnQtFE+vKXHGsScr1Q25udQmCmNl6biwvWS9lKOcPHW99N6Tdc+n03XSY9NSiGFa9udXhT350k2++tkClaDLwAn5xeQ8viJiri2a5m9s9dFXmtTN1vCBCU2VOLpTRNZm9ls0nNxvM3zGcqqoys/Ucnh/eU/ExCGNubXe5vtEVDWtlsW8nj6nYMF3N3tMh+Fllppod+1u+aIzOCl8E81N5XD+iORzYBPHZ6lgenh8NBzLFZ9MPIy7dbHH5VpOXVqt89RUxkG5oypga925rkP57Ia9TLZhjuQpZEs4z0tAIptF1aPddDloOcZJQyOqcWSrRHQTc3O7ieAFdyyMI47viENNQx84Olu1za5jzX5opjNUdJkx4ljkxX+K776ywtW/dU4hmr2WzsdfHcnwqBRNVke866a7MFccGqM8tV/i1Nxb4tz/bYOCEBEHMxVM1VueL/PSTXfaa9j3vAbvNAZt7ffY7DlPlDEszBWZrufvWHUd1tyhKGDjB2PXFccKtnS7vX91jp2UzU8nytVdmqZfvv58vzxbv6Xg/etybW10u32qy37KRZYnyZO1PeEG4c41rqsLJhXL6tRductAWznLFnEG9bIwJlc5P5TF1IQxlGjpnlw/Xxic3m2OPnctoaQ/PcQPFn4fthsVBS9Q2hcjFvZ3GBm7I5n6DJEmYLmfoDTyaXRdZllieLSDLEookjeVFRhi6ku6BcZyweXAoipcg9tH9lo2myZycL913+NP1Q27v9onjhFrJZG2ny5X1NpIk8bVX5sZiUSF606M/8CnkdFbnilw4UbvnY0+Y8DTZbQ7S+sOJhSLmIzoPPE2yGY3M8HzxvBrxxXGcDpklJIRx/Nm/9IzR7Dr8yx/dwvFCaiWTr16YfdqX9NDIssy7j+H8/dSsGf7gD/6A+fl5/u7f/bv87u/+bvrfv/N3/g7z8/P8g3/wD57Wpb1QjFRzZ4/YgL4ofOO1eTRV5vZun5tbX7wi6oQJT4ofvL/J+k6PgRtyZa3Nn/7kNp4fMXACdhsD/CAmCGO8IEKRJd44N5U2JC/N5FmcKbA4LZTqQEySl/KGaNaS4OxyBcv22djr4wURvYFIhsiyhBuEtPseXUtMmfftgI7lMVvLpglSXVNSJQxZlnjzpWmQxGQ+QBjG/OCD7Qd6rSN1cC+I2G/ZHHSeLTULU1eZnxL7pyyLhugvEl1TOLtSoZDVkSSJ+Xqepc/p7jFhwvNE1/LYPhjgBRFdy2djz6JWzlDIikKqoSvM1XNMV7NkhxaHGVMdi3uCMObGZgfPj1io51PFh6lKhpPzJZamC6iqjOuFuH6Iqkj86Xu32Tqw0gay3abFbD2HpipEsfjdStHg2kYHxw1xvYjrm51jnTCOI5fR0qS2okiszIricLUkEl+zUzlmquI1zFSzxzbnSJLE9sEA2w9xfKEiF4YxNza7uF6E44Zc3+hgGmra+CbL0kS99Blka9+i0/dY2+mxvtvn2kaH9d0+Xcvjf/u31wiCCCShoBAPq4xhHFPK6Vi2h6EpzNXzFLI651aEIq8syxiaChJIEoRxQrlgcNBx8IKQQk5npzEYc565F1lTY2Y4ED5KcE6Y8GVBU2UWh+psksQXHguOWJ0rEiUJkiSsZYMwoW8H2HaAH0TYfkgQRZQLOrIM/UHAwlR+eF/opGpYP/14h27fx1AVerbPXnPAVCVL1lA56DjMVLOfOcABooF7dB7QVYU3zj05Vc8JE75MzNdzmIY421eLmlCHGybhkRJ0TZzxi3l9TCX/9m6fnuXjBSImvbrexgsi+rY/5qDVtTy29i2RB7D8tFER4Ppmm+sbHWwvZLc5OFa44Thma1kywzj8aIwLoshr6OL11EoZXhoOlX5WTLq206M3EK9nY6+PZfvp975yfgZ1mOs4uVB6oo13mqqwOP307wETXkx2GhYf32hieyH1coae7VMpmpRzOooiEZMQRAmuH9PquHx4bZ/13T4bu326ls+Nrc6xjztXz6Vq8rmMxnRFrJGDtsNB28ELIlpdN3V+fFjyw3UuIRHFCbmMihdEHNVjmanm0n0hOzyfl/NGum+pqsyb56ZRFGn488efeSdMmDDhiyJJEpHj80IcL+TaRntsuGFtp4dlB3hBxPpOb8wxd2WukO6Bi9N5Zms5ZFlC1xQkSWZltkQhq3J9s4OhKXQtnx99KGonew1LuC4GEVv7fX7y8Q62E9Dpe/zxj24xcAKKOZ1G12Fzv5+6FBy0bUp5nXLBIJvRuHi6LvbbqnDvmK5mmKvnxhppNvf7dPoelYJBt+9hOf5YzedFZqqcIZ8Vr3OUS57w+FmdK6Q5eUNXePvCNBKk+YizSxVMQ+HGZpeBGyBJEtc2Ommj+fKMaKgEERu8e3EOSYKNvR7VgkHGVLm01iJJYmZrWdZ2eqlrx9puj27fQ5UlDobDHD3Lo9Xz8IIorXkGkahDLs8W03PK/FSOlTtynUdz/jc2uw+c858w4Vlgrp4jn9WolkwyhkqlYKZnWdsNWN/psTJbII6Fs9PSTP6BhJ4qRZM4SgijmDiBUs7kxmaXfEYnThJ2GgNePV2nNqxxTVUyzFaz3N7ts7Fv0eoK8bHbu/1jXfiOMlqDfhARRjGVgoGhCVdhx4/w/ZCPbzZptB22Dyx+9MHO537f9lo2ra6D50eEcYLjhcRJQj6r33dgfcKE54GZ+9TQQQhFRFFMGIkhSF07jCHbfZedxmGdfnO/P/a7y7OFsbP9S6tVMV0pkdYrQdTCv/nqQloHz2Y0XrmHeMxx9G2fzT0r7W1a3x13GFqaKaT5wmrR5KA1SO/lt3Z6OH5IEMb4QcxOY8Cn6+1hDtRmt2ml+dh8VkuHnWHYHzRbTF/TTCWb9lhZdsDazv1de+M4SXu7LDfkZ5f2hJPewOeHv9oc+9m9lhDg84KIRsdh/x7uw88Ts7Xx/NCLPED9ZcJ2A27v9tP6w2etg2eRQlbjW68tIA2dOH79rQU07fk7G1eLmXRQT1Fkzq8+f4Nf/+L7N+jbPmEYs9+y+aMf3Hjal/TUeGqjUIVCgT/8wz/kn/7Tf8oPfvADtre3qVQq/IN/8A/4T//T/5RcbpJEeRzsvMBOHPmMxjsvz/KjD7b5i19ucmqx/LQvacKEx4Jle7R7Ll4o7AYNTeZXn+6jqTKmoZHPaARhTD6jEUYxs7Ucv/+bpwnDGF1XubzW5PZunyCMWJ4rktVVvvPWEp4foKoK+YzGtdsdtg4s6iUTQ1eHdsab7DVtijmNJEnoWj62M6DTd1m9Q8FyYUoUJCTE4aVaMLlyq4UsSzS7Dt2Bx3sfb/PWS7Ooqkyz69DoOJiGyuJ0QdhWH1jsNgcospwOnAiVKi+1UNVUmb7ts9MYoAwbR7V7KOg/KRanC8zV8+lr/aJZmMoz+60ccRSjqvLEdWjCUyMIIzb2LMIoRlVkgjAia2osTOWf2NoYFXmOXoMiS5w/USWKYpQjLhOvnKqn13aUKI5x3JBWz0WSJN6+MMubZ6fQh4XMGHC9gGbXoWN57A+TtWJfEq9rv2VTyGqcms8TJxL1coZLt1rsNgfUiiaSJBHHCXGcpKodSZKwdWAxcAKCULgfaKrEWy/NkM8KBY2l6TxJkrB5MGC3OWCqnOHEXDF9P+NYqJteXW+RGe6fsizx0Y0GW/s9Gl2buWoOJKE+5ofhmI3r6P1bmikwP/Xg+5jthvz88i5+EHH+RI2FqYny6ePG9UI29y0SRAIPhkWU3R5928fUFdZ3u6zv9ojDBE2VyZoa51bKHLQ9soZKPqtTzOu8fnaKIAjZPBhgOT6dnocsS5ycr1ApCjXIOBKfi3ZfrAN1+DkY2QsDaaNkHCcsTOXHGqlWZossDtf6s3ofsmyfX1zZIwgTXjlVeyGH2Cc8HebreWaquacWCwKU8gZnFks0Og5+ECNJElEU07E8giDG0GXiOMELYmaHaqK2G7LftqmVM4RRjB+E/PzSHu2+S62cYXmmSK2oM1XJpU1HnzWkdTQu/+Zr8yRxgqrKyPLx+iCdvsd+2xZuIjOFu+7RI5IkYbsxwLJ9Snljsn4nfGmRpYRPbjbYObDJZ1U0BYKhaJ1MzOtnp++KgWE8Zo6GMekI1w+5td0lCGM0dXwPczyhKh1GMV3Lu+t7D4KmKtSKJh3JpVI0x9a5oQlnkaPXvDhdQELEue99vEN34LE6V+LscuXY1wMQHPl6YSrP3/zNM2n+437st2zafZesqbE4nX+kGKaUN+gNfGRFIp/VP/sXhqzv9Li20cY0VL5yfua5VCOb8Hjx/Yh/8/PbNDvC/ardE0PcmgxuGDNfz3J2qcz6Xp/bOz3aiSgiKoqELMt4fpTKZ0ZxPBbHH0VTFS6evvtsHEQxcRxzY7uLNfCxbJ+FqTztvsvPP9njoGtzYqHE28M83v1YnSsiS6IxIk4SFPnw7Ly2003FBN48O0U2c7huTi+ViaI4PVPM1rLiDH2P+GDChAkTvijiRDiXjs5bhZxwOB2FDnfuueFQGXzrwEKWJV45VUfXFBRZwvVDzixXGAwCCnmdi6fr7DYsfnZpnyhOMDUV34/E88Zg6gpeENHseqzv9qmXTZami2LfR4hMnZgrEkYxmqoQxwn7bYeMqXFmqczXXpkjihPkr60QhjGqqjBwA3YaA65vdliaKfDpeotfXTtAVWROzBc5tVhiZa7IbC03FrO8fmaKy2st2n2XpZkC5bzB934hmsu+89YiiiLT7rlPPB/8uFEUmQsnasfmjSc8PmRZ5rvvLOP7Iaoqs9u0efvCLEEYoakK2YzGifkS+y0HRZaIk4Su5XF1vU0xp1PMGVSLBp4fUS4YlPIG81MFrIHPfseh03NJJLi9Z7Gxb3HQdqgUTCQSZITTqOOGFLM6hiYzcAN+fnmPlbkic1WT3ZbLzsGA27sW5byOqoimVaHGfe/zlcj5xyiywk7D4pObLTRV4u0LM2TN488Hu80BXcsjn9WZr+ee2VzqhBeT0Tn85ZM1JEkay2eGwxpBuWDyjVfn0HSVt+4hzGLZPj+7vEe751Ivm6zt9FiZK6AqElEs3HIqRYOu5eP4EZmhcv3bL8/i+yHIMj98f5NrG0L8rGt5JICmyZwNK8c+J4gc4WgN3tructCxma9ncYOI27seuayGZQvRy4yhUsrpeGH0yO/XaL327YAojsmaGqahIssSGV2hUjQm55UJj40witnY6xOEMdOVLOWC8dm/9IDYbsDmvohNF6fzY3koVZHvWUMH4ahWLS4Qx0J0oWN5tLouiiylIhEj7oyLC1mdN89Np2f79Z0uP/1klySGqbLJiflyOqgpSRK/9+4JXD88Nk92tA9hrp5LBR1BiMgeJQzHByyzpsYbZ6fS6/jLj3bYbwl3kXxGQ04kBm6Aqkjoqni/HC9EVWRmqllePT2Vvj+uH/KXH+/geiFnlipMV7OUcuJvlTFVbu/2uLHVRddkvvHq3H3/LqaucnqxRJII5+H9poXjxUgSaf02fU1RzM2tDt2BRylnvBCDx5oqc/E+n70vKx/daLDTsKgWTd48N33P+tqzyl3n43vkKJ91vvXGAl4YIksSv/b64tO+nEciq6vIiH6njK7QG/if9SvPHJbj4fsRUQKaItG1n7/X8Lh4qhWkXC7HH/zBH/AHf/AHT/MyXmj2XmAnDoDvvLnIjz7Y5vu/3OTv/JULk0PUhBeCSsFg4AaEUYInhZgDVSRWJDA0n3o5A4lQyBgNP8iyjK7LbOz1+cXlfTqWx8AJ6A58Ti2UUWQJQ9eQZQnLCYRiXiTs/04tlLm51cHxIwZuwHbDwtRVdpoDgiDCjyL+6Ac3mP0bL1PKH06eH7UXzGU0Ti6W+Ohag62DAfWyybWNLrIsEuQ3trqQQNfyCaOYTt8jihIkxFS5aKhAHAiH6zgIY07Ml7i63k6bUPwg5vyJ6hf3xzjmtT4NFFlCkb/Y4ZUJE+7kxlaXnuUzcAK2GwNOzBfpWj6SJJqxngTlvFDZctwQWZbG4pnj7vnHJQA0RaZr+1hDdZ9K0Rhr+PrpxzusDVX0PrrRpF42yWd1+gMfTY2IE9A0hctrLeJYqJDstuw0edLue1SLJlOVTLongxik3T4Y4IcRP/l4h1LOIGOoDNyQ33v3RPoabm51aQxdiDqWxysna6kK3sANUrcx8V5LhFHMB0Nl5CSBg47NTDXHqYUShazBVCXDQVs83vyR4YuH2cd++MEm+y3xGAcdh7/2zZMP1bQ24bMZKWQDw0K8zEHbwRoqLkZRTDaj4boRXhAiyTKSFBPFcGqxSHfgI8sSU+UMthPw8c0m+22b27t9JFlippyl0XX57a+uomsyQRTz0092CcOEZs9GAl4/Oz2WJLx2u43tioZNyw547ezU2OfmWY+zv//LTdpDZ5FG1+H/8uunJg2TEx4bTzsWBJBkmb2WTRgm+EHAwAvxg5gEcPyYVk/E0TeLPTwvol7OYLsh5byBqav8H9+7xsAL6DsBfSdktprlpZM12l2xbuan7t9YEITxQ8XlbqpgK76OooTTS+Vjf3avZbO1L2zJu5aPpsqp7fqECV8m/sUP1nj/agMAb8fD9g4LkiOhyuPux7O1HH3bJ0mgXsogSWIoV5LE2h3FhkkiBq+iKBFOnH6Y3vuDMMYwFDwvQlEkzq8+2Ll7v2WzOVy/liMUouvl8fV79JpH++nPLu1ybaMzfAyHQlZjri5i17lajutOhyQRuYZibryoOcp/3I+RyxmIfUWRpbHY+EGI4oSr6+20gcT327xy6rNVAruWxw8/2Er3vyCI+c5Xlh7quSe8ePz5L27z8fUGcRzz00/2OLFQpDfwaHZcpioZXC9ivyOUX3caQpRpVBTVTZ2TCyXyWdFUbGgK8/X7f57vPBvXyxn+8qNtNvcsZElifbfPp+tNbmz1+PC62HcaHRdVlnn7AWzrZ2o5ml2XIBSF+KlKhnbP5UcfbB9+9sOY77w1/tk/uh9IkpQqdk6YMGHC00SRJZBIcwq6JmMNXTBAuKWN6huFrE7GUPnw+gHRsBnW9cI0RkgSEYfEcULc97BdnyvrbSRJot0T//7Vi6cBKBUMnPWQg7YQlsmaCrtNG5D4tTcOm0hqpQy5jMbGXp/9tk2cJDhuyM3tHrmMnjbX6bpMFCdcu33oxnh9s02j7eL7MTu9gVDnXKlSL2fo9N2xmOXT9Ta6JmoQ+y2Hjf0+8vCM+P/6V1f41vCaupbIST1voi+TxrEvhlHevV7OpArSiiKlyssvn6xy0LHpdMV6yGc1bmx1MTQlHV66ttHh1dN1TF3G9kMRM3VdMobCL67spY2g2wcWhZzObC2H50XIMmQMFcvx2T4YUCtluLXdxbIzgETXCukOfAxNwfEiVueKNPsupZzBVGXcUXCUoxA5fwXbDfmLX26m6952I3733dW7Xn+z66SOh6NzyIvaozHh2ea4PS+f0Sjm9KFQgczqfcRc/uKXm+w0BrR6Lr+46rMyk6dv+9huSLVoUi4Y3NjsEUUxPdunVhKDHpomUymY/PjDbTYPLBwvZG1b9AuI3+ny7sX5ez6vJEnM1XL87NIea9tdHD9ibauHF0ZC3DJOhECVLNGxfGZr8QPnL+6k1XPT9eoHEW4QUcob7DYHaIpMpmCyuWdhaMokTznhsbC206PVdQGRO7p4qo5pfP4aVhwnXFlvp43Ujhty8RiXi3vFQvNTOZErkKGc11nb7qU1gKypkjFUHO/uOv2Io2f7f/rHlxgMc43/jz+6xP/9//oOqjr+Gu9Vt7ux2U0bkHsDn9fOTKV192LeIJfRGDgBkgSz9btFrI9eh+eH9IeNwImUsLlrYQ8FayRJwvUjXD9ClmMqI9fQ4fvz4w+32T4QeZm9ls3qXAFt+Bq2Gj0+uNYQ9V0JPrre5J2X772nzU/lWd/pIUliWObWTpd2X8RHi+Z4LN3qOWzuW0RxQn8Q0Oo5D+SU9DwwicMPubXdTfs89lsOmiqGL58nClmdQlYXa0ziuRw4iqKI/8+fX8Mdnj/+3392jf/b33zjKV/Vw7O222V4PKFjBVgD9+le0COgq2r6GsIoYeqIA/2XjUlXywvObmvkxPH8bZoPwpsvzVDI6rT7Hh9ca/DmS8erBUyY8DyhaUL1aOCFSMQ4Xky9nKFv+TS7DkuzeeqlLKam4AcxI7GXIIy4drtNf+DjBxGeH7HXGLA4XeDCapWMoaKpMh9cb0ACSzN5XD/iwskq1zc7DOwATZHJZ3RWZwvsNgdIsoTrRhhaTKvnjw1xjEgSof60PFMgDGMURSJrajS6NvbVgEJOS9UCAQZ2kCY6DV2lkFUp5jSypspu00l/zvFCgjAaUxF1/AdTA50wYcLjxxkmXfwwwvVCdpsDijmd6hMMpEdKaY4boGtKWkh8GIIwJqsr3Oq5qIqEqpYBUWA96Djc3uvTd3y6fQ9dkylkNFZmiyiyRLVssr7VZbcxwPFEI6xQ4/XYOuhTK2aYq+c4MV/CCyJu7/Yo5HQqBRPXE4c+34+IokP1oJ3GgNu7PapFMSwypnKcgOdH6RCHe4cCsuOFY1bT8/U8tZLJ2xdmqJdFwurEfInpShZJIn2ch6V/ZEo/ihIsJ5gMcTxGdpsDNvf75IeFf1WRuXiqxsc3mui6jIRIUGqKjKxIVDIm+YxGrZTh5VM16sUMn260SZKEKIpZ2+lhucLxJQhiYhI6A4/ZapYLJ8T9/9ONNgCGrjBTyVIpGlw4WRtrTB8lKkAMlgRhhPIAQxBdy6NreeSG1/hFM3r+vbaNPnTrCkPhwDMZ4pjwvNEb+HSGqvFHm6DDMOb2bh9THxZN3ADL8dEUiGKQZAlDU8gYKq4X4vkR+YxKPqNTr2SI44Se5ZM3RVwehDGr80XOLFYY1IIHumfcLy4/7rq9IEqbge78+Tu5U/F/tB8NnIBPb4v96+xyZcwhaMKE55l2z6Vv+2ncOOKgYzNwfLwgIowiFFk0AiLdv9hVLhi8dmYKPziMI203QNMUPl1v40SHRcoT8yV0VUbXFD652SSORYyqqTLf/coSXhBTzGmossz7V/cJI9EQca9Y8M71ez8HDy+I2G/ZKIpEuz9eUOhYXjrEUSmavHpmimD4eh5F5flhruteBGE0psLreCGNjoPtBpQLZtrYeSf9gT+2/z2PClgTHi9922d9p4/nR8iKcMhZ2+6hyGAYCicWimzsWdiucFbUhmu0UjTRVZmXlqsszxR58/wMJEJVMmOo6eexUjTHFCqPw9AUqgWTXtkX+4kEV253OGiJZmB5KBjQf0C1M0MTjh+uF6KpCs2ew82tLs2ui6bIQ4XcyWd/woQJj5coitlt2cRxwmwt+9CO3VGcsNcaEEUJ09UsxpE8Y6VgsjJsZjV0ca4a3etHQxRhlJAzVbwgSusbMJ5PkSSJ1bkiQRihawodyyNJYHW+KBpfCwbnV2uAcDQ6u1zBcUOSJKGYN0gSODFf5NffXGS3YdGxPGplk2LOwPECWj33cM9PRO7wqEJyGMVj8Uur6+L64oxYzBlUC4f5oL4dMHBD2l0HTZOJ48Nasu9HtPti+AOgkNPw/QhdF+/Zo8RWE75c6JrCxVN1HC/E0NW0CXOunudv/NpJ3r96AJKEpsiQiDPSftvGD2Pm6znRHJnITJWzaLKMH8Q4XkDP8jANlVoxg+X6yJIYLF+cLXBytsjvvXuSP/nxTSF6kSSoikQQJrx+ts7NrQ6SJNEZuhB6fgiJTrPrsN0Y4AURZ5fKLEzlqRSMdKgcwHb9sXXfd46Pc47uBzBZKxOeDs2uw8AJKA3rWSNkWeLcSoWBG6IqEqauEoYxl9eaOH7EmcUylaJJ3/bZ2OvT6joM3BDLDvCrMcuzRfZaNudPVMkYoq6vafLQbXwoFHkwoD/w2W/byJJEtWRy0LEpF0xqRRNNlenb/l11hChO2GsO6FjeMMcpBCIaXZdm1yGMhMBVFCdkdZUzSxXcIOKNM3UuPoDYwnEcXZ+6pjBbzzFbzbK23aVt+WmccOe6njDhUTn6mUsSkSd7HEMcYRSPKeE/SD/NpVtN+gOfkwslZipZXC8kjBKmKxlu7+1x9XYHXZV45fQU71yYfaA6/cAN0wEOEGvHdUPy+Qd7jUffnzgW+8ooflBkIThjP2C/QC6jsTJXJEkSfD+ikNPJZTVkJBLgrfMzWLZP1lDuyu/1B4d1eOEkFFAvi9fQ7vrkMiqmoSBJEn4o3FW2DyxqZZPTi+NOQzPVLKWcLgbQFIlW18XUVVTl7oFo14uYrmQPHUG8x7f3CDc/myAUfWd3OqzYbkCj46BrCjPV7MRF7AnS6Y+7Yfefw7zxKJ6wvRBNlcfO1c8Ljh+lotgAUayPnXefF44cTwC4utHh6689X2JShqFRyqkEUYKuSFju83l+GtXJP0+/zFPtallbW+MP//APuXHjBq47XryTJIn/5X/5X57Slb0YDJyAriU2nNna3ZOoLwKaKvNrbyzwL390i+/9YmMyxDHhhWB1tsj6Tg9DV0mkhBoSrb7HVmNAzlS5fruLvqpQmS+SM8U2niQJl9daAAy8kP7Aw/UjKkWD3caAN89OpU0X1aJJq+siSUL9Jp/R0RSJ3rC4qsgw8AJhj933UBWZKIqZqRy/j2zuW6lKoCyLQ9F2Y8BB22FpOs/PPtljea5IZthIOVPL0uy6WHZAb+DheBG9QUDHEo0Oo4bSWsnE1FWyppqqg9ZKX96pywkTnja1kslu0xZFPsdH02RsL2R5tvhEn1eRpc81QCABP/5om74t9pE4TnjnwgyX1lqEYTxMLFtkDJUoSijmDFRF5rUzdYo5nR/9als4Iw2bUQ1dJuwleH7MbtNmdTjAce12B4Ddps2ZpTLVokmj65AxVApZHVNXsWyfjKmx27TZa9m8fLJGrWSmgxm6Jo+91lLBQN2X0+JrrWRSK5lcWW+JopEEr5yqpwMcIz5vk+vybJGr66JptpDVqU5Uhh4b2wcWm/sWfhizud9nZbbIdDWLaWicWixxcxOaHVeoKnohiiwUYaZKJllTo1bMcHm9xV7TptN3QRKNmyQSmiIRRhFhnOB6AXFC+nlamC7w0bUmfhihKDIvrVTvchaolcxUqTuf1R4o6dIb+Fy93U6HNZOEu9S3nyR9+/D5FUlm4AbkTI1ywfjMRrYJE541LCfgynorXU9xLBqLYHgfG/i4bkDPCVBkCVWR8cIYSRYDWrVSBkNXkSVxTracENuNOH+ihixLnF4qc2unixfEGJpCGAmVuQe9Z9wrLr/zuqM4YaaaJZfRMPRDJc37xfHVokmj45AkIgFcKRgEYcz3f7lJqydyRTvNAb/1zsqY69WECc8j7Z6bOlDsNm3OLJfTQY7MkUY/3z8sGJKA/hmf/TsLmKMYoFYyU6cMQ1co5fRUCX8U3wNkTJVS3kwHJv70J2tpXLCxb/HXv3kS9ZhrqJZM9ts2SQKSRKpedydRnHD5VhM/GA2NHF6rrios3OHsZ2jK5yoAlQsGWweWGD6TxHU+LIamkM9qWLb4W0iSlLrk7bZsLpyokT9mD52uZMhmNOxhjL98H3XTCS8+thtwZa1FMa9zc7ubqqf7QYSEhKxIeH5MKW+QNVT6doDjKZTyOkGUoKliX7i22eHMcjkddtptDlLV2L3h5/Gz7umnFstsNweQCIXH2VoWVZUZOAGFrE7WUB/q86oq4vx6fbNDo+2wttXjoGOTMzX8MH7ulAQnTJjw7PPp7U46bNbuu1w8VX+oBqObWx3aPdE00+w6XDw9NVaLGDXUqIpMqTDuBHZUJOLOGOHoWWeUD1QVGVmWOLVYYmNHKP/mM9qYm6EfRFh2QKGg0+q7KLJEztR4+WRdqIPviRiuN+ggyxJxnCBJsLnXZ2W+iKkrFO5oOtNV+VAVFeGe/N7Hu8OBPVErHr3mjKGwuddPm1NX5/IikZpANqvheiG9I01smYya5iNrX2J1zAkPjqLIx+b1s6bOmeUKa9vCOU9VZZodh1vDr1s9l6++Moeuq8zWsoRhOBzqAD+MUeQY2wvJGBprO30ypkoUJ5RzOrmMWEO/vHKAF0S4fsjyTJFGx6FSMBg4IfWySbPjUcjp6LrC7b1+6kq9ttPjr3/r5F1CF+W8SSmvp30Xy/dQxq4UDHYag8NzyGStTPiC2W/b6drabdmcX62O5cklSRo7x/7kk53059e2evzGV5a4tdPF8UJRy3dDFEWi1XNIgGJWp90TgxbTlSy2F2DZAaapcu12myiMGeQN4jghCCM0VWGmlqOQUdFUhayhHis+e32jzU5jwOa+habKFPM6CWAO8xgDN8TQZLKqylQ5g64pZEyVl4aDkY/Cnet1qpwhn9VZmi1iD2sOozzlhAmPg3opw4YrzvGGpjw2wSJdU1KXHfjsOO3nl3e5siZqwDe3u5xZKjPUeKFjefzogy0GrogPwyjh66/MPVCdPmeqLEzl2ToQMezCVI58/sHvg3fmKe8cNJAfol+gVsrQ6Ih7e7loYHth+v6sDPuWtCP50aMszxb45GYTEPnV5blimuM7vVxhpzVgMDwHTFUyfP/9TUjg2gZEIZxbHR/kGA3qRFFMsyccTYOQMdHG0XVd3+wgywqSJL5+XKzv9tI870Hb4eLpWpqbDcKIy2utQ5dBX7iVTXgyLM8Wxvo8Huff+YtElqVj8+LPC/mMPrYvZAzluRvgANEnepRXP0dc9LR48/wU2w0LVQVVlvnma/d2N3pWsWx/vE4eHdb3H4anNsTx6aef8rf+1t9ienqa27dvc+7cOdrtNnt7e8zNzbG09HxNBj2LbDdEcFQuGI+sxPw88J23FvmXP7rFX368g3OH6syECc8bQRhj6CpvnJuiY3mcnCtRLpr8yY9vIQGlvIHri4SJqsjc3utzYr5EEMa4XkQ+q/Pa6Rof32wyVc4INdxShnbfY/vAppjXOLVQolo0SZKESkE0D1dLGaEWnyQgQyVvcn6lyrrRxVBVvvHqPPEx1+t6Ibd3e0RxgqmrmLrGr72+wJ/9YoNCRqhwdPoe09WAs8sV8hmNQlanXs7S7rlsHfTxhmpOsiQxVxeNrJoqbFUBzq9W2W/bDJwwTXj6YcztnS6KInNivvQF/XUmTPhyszxbpJDT2T4YYGgyjh9j6AryF6jG0O67wtUijLi502Wulk/3gHbPZbc1oF7OpNdULZq0LRdVkdFVGUkWzaYbe30cV6gDVAoGJEVqJZM3ziqoqszSVIGXTtS4vNbkxGyBZs9jcSqHrEjUiian5sskiEY4ibtVEnq2z8pskZdP1Bi4AS+frrPbGLB9YKUxWRgJVfW5eo75qRwDO2RpNjfWnGpoCi+fqtG1PLKGmianvvPWIje3u8xVc3hByPWNNjPVHI4fUhi6O3we3r4wy1Qlg+fFrMwXPrNpcMKDMxqYnK/n6Ns+09UspxfLAHzj1TkKWZ3F6SzXt7u4ToQXxHhhSDlnDpuiVVRZRpJg4Ih4QC5K5HM6b56dxtAVHC8S0xRJxK3tLifmSxSzOr/zjVW29vuU8waztRzNrkjYVQqiYXN1rkhpWGCpFM2xRogwiukMBzvLR4oWlu2PuW31bf8LH+IYPf/5E1VcP2S2lmN1vnRso+mECQ/L5l6fgROyNFsgaz7Zc+bR9RSEET/5ZIeMoTBby3F1vU3WVFmdL7O+0yGKIZ9VRZFUU/nNt5eplTNkdI2+7WHoKvttG1WVMIaJx2+8No/l+By0HeolUxQNuk7aDHrQtml0HeZqOcqFu4sr8lDtqt33UBQpbTq/ax8Y+MxUs6hDN63O0OnqqPLfnZTyBi+frGENm0gzhkrX8rAcn67lEUYxkiTUuDR1MqA14fmmd4cyfdfyhw15EhlTY7qSoTfwmS5nGdgWliuhKBKvn53Csn1sL6SUN+474NDquPz8yi61oslbF2bpWB59y+fEXCkd4IDD+D4ME6pFAz+M6A184azZOXTJtJ2AgRscu44LWf2u9Xscnh+mAxwg4o8LJ6p0LI+F6QLFxzx8mTFUXjlVS1/PoxSVJEni3EqVds9FliWaHYf2SC0tEfvfcY+r6yq/87VVNnb7ZDMqS/do8BrR6Yt9rlww7uu48qxi2T5b+wOKeS29p0w4pG8HJIloCFqZLbDXHLA8k6c9XPu1okEuo3J6qcx0OUNn4KHKEqauce12k2bPR1EkwjDiylpLOHQUzDHHjDhOuLXTxdAUaiWTajHDTsOiZwUsTOfSc+TKXJGsqbLfcdhrDMhndQoZXShSmkLN9uRC+eFf48AXwgMSnJwvkzEUykXzkYc4tg4srEHA0myOrDm570+YMEEMO3Qtn/2OnQpFuV5EEMYP5drbHwTCVbxlE0Yxq3PF9OxTK2UwNEUMW2R1+gMfW5bQNYWBG1DM6mkD1tEYQZElCjmdg7aDromcySgfmCQJYZjw3XdWuLXdRZLg9FJFDEfYPn0nwPECTEXm116bo5A3mSlnWZ4v0rN8erZPr+9RLhh4QYShKSiyxFQlw+JUnpla9q7YQVxbhXZfiHgNHJ8wFDmdYk4nlzncVx0v4sR8ie7AQ1NkFqYLfO2VOVo9h2re4OZmm4wh7jelnM6puSJ+nDxybPUiMblXHc9orUoSxMn9PyvTlSxRFNO1fBan86xtdamVTOJhrbHTc9hr2ixO56mUdNp9j74dEEcJju8zU8mAJBogizmdSsGg0/fo2z6lvME3Xp3jk1stwijC9SKmKllOzBd599V5bC9ElSXiWGJhOse//sl6el3dvsfNzQ7nVscdjFVV5re/usLabh9NvXddMmtqnF4ssdMcMFXO3DcXMmHCgzCqiVUKxth5HkRNbKcphh4yhoauyjQ6R4RzE5E/v5/Y0dGzvx9GXF5v4vkR0+Us7b6LokiszObJZ03iOCaXFc5Uhq7w1Quz/OijHVF/yGn0BgHBsBN8cbrA/FQOKZE4s1zGdsVQCMCt7R6lnI4sS+SGfQNimF00jQdhTCGj89b5aVRVxvMi4ZyDxMmFErIs0+o5zNfzD73Gjr6fWVPjlZM1esOz/ah2V8obvDLMcxy9/0+Y8HmZq+fImip+8PhzQCfnS3x44wBFllmdu38e6qDtDp3lhNjT1oHFXO2wRqCqMvmMqEN6XoQXRPQsn4yhfOYQxR/8/kV+8ME2SQLvviLqEZ9cb1LI61w4cf/m4jvzlHGccHOrgzx8Ta4fsrE7IJ/T7nKxuJPRexBFMSfmS7y0VGFtt4+uyazOCXHGo7X3wTD3WczqvHFumno5gz2sC2UMJRWaqhRMTi0U09fk+VE68AGw1x7cNcQxIoyTtC4jBlLGY6TZWo5ff3OR23s9lmeKzNZy9AY+nh9RLugP7UK4vtNlq2Fxcr40lkMKoxjbDSnlxePZbjjuNvYcOkM8T9RKGX7366vsNAfUSxmm7iGk/KwTDM+Yn1X7e1Zx/ZDV2Rw9S5ybF6eyhGH83PUWZE1tTHhh7aDPm0/xeh6F//DbZ7Esn0trTX7r7RUunn7+RIH6djBWJ+8Ne4AelqcWcf7jf/yP+eY3v8l/99/9d7zyyiv81//1f83LL7/MX/zFX/Cf/+f/Of/oH/2jp3VpLwzbB0IZf75+9zT7i8TZ5Qrz9RzbjQF/+dE2v/GV5ad9SRMmPBJhFHPpVpNWz2XrwKJeyrB5MKCYN3jz3DQ/dLYBMU1/0HFpDVWjdhsDvnZxDtNQ6Fk+Bx0XXVXYPhhQKZpYTsDaXg8ZkXB8+/xsenjo9D0+3WizvtPjoOMACbIkk8Rw0LFx/RhdS7i03uRrr86NXa/jhXxys0nH8mn3XBam8hRyOtO1HK+dnuKTm01ubnUZuAGmoaLIMt99ZwUQyvqjJs+RkiUSlArmXZaFcZKw2xT2fq2ey8psnl9cPaA1TPZs7Vt88/WFx/8HmTBhwl1UCiaaKoqXxnCp3qn49qRY3+2x17Rp9xx++ME2uYyGLEv8ztdXmanm+Lc/XScZKoqeXa5QLWZoFV2WpwuEUYwfxgRhjIRQLd086LM4lRfJ7arCVCXDxp7F/FSOnh2w2xxQzht07QBJltg4sCjnDDKGyl7b4a1z08iyTCGno6lyqg4CpE1ouYyWKqkUl3UKWZ2NvT5RkrCx3ycMY9Z3e6J5p5TBuR3w8sn6XYMc00cO8LYbsLk/QJUV/vznmySIpr8winnj7DSSBOfvoQr8MKzOTQbkngTFrE7P8pEkiVLeYGmmkCper+9a9GyPf/erHSzHx/FCDE0Rivp2MLwvR2wfWDS6Dp2Bh5QIxX1NFda9c/UCXcvj45tNdFXmf/+zT/ntr63w2plpilmd4lCB4fpGJ006FvMOL61UkSTpWHU4oZzdSq2M5+q5tBkxn9VTlUbgC3e/KNzx/C+tVsfWy4QJn4ePrh/wwbUGAJ/cbPB73zwxpr76uBmtpyCI+fGH22wdWHh+hCRBrZxBU2RyGY0oSejZAY4rHDnyVYPNA4u5qRyJlDBbz3Fjs8vACZAkia0Di1pJDGZdOFHjltFjc78PSKzt9CjkDJodhx98sCVcbRSJ3/na6rFq+ooi3zWoddc+cCQu0FSZqcqDDXZlTW1MfCJrarR7HutDlXHbDVEmLt4TXgCKWZ29I3HjQcdmX5hq0ujaqUNlq2cTRWIIOU7g9l6fS7fED6qKzMunascOcnQsl3/yv7/PYOia894nOxSHqndbzQF/9d1V9CN72Wggy/VCPrnVTFXAMqaK7YjHyGY0cvcRh7lz/R6HoavompwOchRyouH/STb9C6GJz7dvH81dBGF8OMQhcd/CddZU71m0PcrGXj91Ns0YKhdO1u5yS3uWsWyfP/nLNfyhgvdb56c5/xwqfj1JClmNTt/lp5f2xBBXIs50fhCRAF3b58pam0bHxfFCvvLSDNPVLJoqk8vq3NqxGLgBsiwGKg1dpVYyKeWNVE1+60AovJMIR71q0UxdOj64ofB7X19NP69TlawoECei6TFOEpIEKoUMja5LueA+tGJ0IScaF1RFFk1ec8VHto3/5GaT96/uA/DxTYXffffkEx+knTBhwrNNEIrGqCCMabQdCjmdct7ANJSHdukr5DR+/GGD3eYARZZQVJm/8u6JtCk2n9XJmhqX11oMnADL8bHdkOlKFlmWePlkLR1YHcUIUZzwyc0G7rDxdGE6z8JUnu7AY3PopBHFMbIkIUkSv7yyRwL0LJ8ffbjFQcdFU2R2mja/+41VvDDm2u0OA9fn/St7xAnIEizOFNLmqmJOZ66eu6uZd4QsS+k+PHI4Ht0HjtZeKgWDjKmm7+N0OcNMNcvMsNmgXs6iKEr6s+WJUy8AH91o8MGnB8DkXnUUP4j4+GYT2wm4vdcXAwwFg9OL5WNji/22zcZwjXy60UlVsgF0XeHyepvdhjg3lQsajh9hOQG7TRtZTmh2fQxDhSRB1xR6A5+MoXL5Vot8RqU7EPHTjfUu+YzOdsNidb7AyjE573olw+3dPh3LwwsiWn2PK2stzq9W07ytuC6Vs8v3j/FtN+D6Zpc4TujbAZqqPJeNbROeDcbOi6bKy0O3XRCN1v/2Z7fZbzlYjk+tZDJTzVHIaeiqIs7C0mfn6+vlTOos5bghnhex27a5utFi4IQkSUKrHzBbK3BprYUfiCFKQ1P4/vtbJIAXRHiBQjGvYw7FZHoD4dZh6Crru31OLZT4y493aLQdOpZHNiMcOZZnCpxZqlDIakIoBtAUWYitTRdpdh2cOEJTVSpFI80hzDxCY9yoxgjizH7hRA3TUI8d0niQPMeECY/Ck7on/PkvNtKhrN7A49ffvLdotq5J6c9qqjyWv5qu5ihk9XSoqlo2+eRGUwg3AKcWS/c976uqynfeEv16juPz//yTy+lQwPaBlfYK3YtRnjKOY/71e7dTMbqbW1nafS91/X7j3DQvn7x3/ml9t5++xmCjzfnV6tg9/GjtvWt5XD3ivnPhRPUuQZajrzmf0fnqRdE3tdOw+ORWM62NzFTu3ZupyhKNros1dOC4s45v2T47DVH/32kMCIKIg+FgnqbKvHKq/sDnn4+vN/iTv7xFksBffrjDN16bR5bE76qKPBa7Zk0VRZHSs8YX1ffxZaZcMI8VUnteiIZ9jaP1uDiTZ/45E/YxdZVfXDmgOxyA+NW15nM3wAHgeeOOPqefw/6ef/WTW7x3aY8kgX/xg1sszxY5u1L97F98hihktbE6+aMKlj21rMKlS5f4L/6L/wJZFosgHk5lf/vb3+bv/b2/xz/+x/+Yf/bP/tnTurwXgu3GaIjj+dosHxZJkvjOV5b4X//VFb73883JEMeE55aBE+D5Uaoq3R/4VIsmrZ7L6lyJMIrZ2OuT0RUu3WojSzKSJLG+1+fl03WqRRM/iKgUDDRVptV1URUJQ1PEJLmpEcUxV243WZjOIcuSaOBMRFLU0BX8IGa6kqVeNlnf7TNby2JoCqois9+2WZ49tHNr913i4cS4qsjomsyFE1UMTeGNc9OoisTWfp/papGMobLbtPH9cKxhpF7OIElCGb+cN+4a4ADoDXyCMCaOE7wg4tZ2Lx3gANjY7z/ZP8xjIopi0ZCrqw9dYJow4WkSxwm2G6BrirAVBs4tV9J95Ump7nvDZLCpK7heyG7TRgI29y28QNgwa5rMpVstPD8iScS1Ol7E9sGAnKnR7sFCPc+7F+e5crvDwPaZqedQZJn5Wg5ZlrlwooJpaDQ7DtMVUXwNwphm12WqkuHi6Tr7LZuBG5DPahiasGdHhpW5QprkObNUpmf7FLN62vgahDGeL1zCFEUeFlglml0H389h6Cp7LYcojqmVMvhBjGX7xzbOjuj0PeI4IYpiGl2HrKkhD/dRP4zQVYV2z/3SK+I9q8xP5VFVGdcT7lKGpmDZPrqm0Ow6bO73GbgBfhCjKzJhlDBdNYXKjakNFbI9ClmNIBBKNMWcQSVvkCQJr52p894nuxQyGsW8QZLA5bU2r52ZTq8hjhNaPaG0Q5LQs8Rn9V73JscN0gEOgFbXTROYxZzOueUKHcsjn9Hum7yN4gRnuJc8jFLm/ShkH/z5J0x4WNZ2eun/217IbnPwRAfc8hmNl1aq3Nzq0BsWT4MoIUkSTE2lmBcKdVPlLOAQBBGKIhq8+wPRyFAcquCbukKYUclnRFOl50eYhkopbxBFMbkj6nLtnsvaTnfM5nV9t3ffe9Fx193pu481LtBUmUrRYGogHq9WNukMfHJf8LDYhAmPm0rRTOPGjKGytn2417heRK1kMHBCDFWjPxyiEO5YYmg3CCN0XaXb98bUfPwgwg8iLt9oYjlB6u5xea3F6+emCcKEOEnYaztjhUjXCwnjhP7AO1RdS+D8ShXXjwijmPOr1c9dxFBkifMnauy3bBRFYqaaS685Y2rPxeDCTDWLIkvYbkC5YD6WePtobsPxQhw3+ExVw2eJ3eYgHeAAWN/pT4Y47iBrahi6iixD3tRQVRlFBlVTMDWZMEyQSPCH+cDbez2mq1l2mwNmqnkOOg4N0UuAIsu0+8Jp8tRiGUWWsWyPdt/FHg5uWXbAQdsmY4jPp+9HbO0POL2sjcXi51YqQtxgXwx7ApBAs+vcc4jD9UPCKCFnqmOufSfnS2RNlalKhoSErKExU7t348Kd5+SjrO8e7omOF7HbHHBy4fkrQE6YMOHxMaoNACxM5fGDiLl6jtladmwvOo6BIwbfR82Zq3Mlvv/LTfJZnZyp0bN8On2P2pEzjBdEDIaNVf2Bz2A4xBHHCXvNAVOVbCrYAtC1XNo9D0WWiGLh8rEwlU/VxgGaXVcIvZgaHcvH80NcP8JxI1RFQlXF67ix2eXkfAlNVdhuDCgXTOHAoStEcSJcChLRENDue5Ty91bktd0gFRA5u1yhO/AoZPWxPT6f1fmtd5a5vtEha6p3NcL9R7/1Ej/+aAvgsYpoPYn80Gc+52OszdzeGb9X7bUGE7d4hms1iGj2RL5i5Ihxr9jiaBwchjEvn6hRK2XwgoizS2X++Ee30u/vNcWQqedH6blBkiTCMOal1QqeH7E8V2R5RvRDNHsu9bLB5bUmGUNF1xWypsbNzS6vnpq6K/549+I8pXyTT241ma1m0VVF1GuDKB3cOmjbqIr8mbmS9jB3D0ACrZ57z4bdUf0ja6hjwyITJowYNS+DGLCwvTA9h67t9AjCGNcP8fyITt8jn9GZrefIZzSKo6FHXdQf7nXu/trLc5RyOrYb4gcRhq6iqjLXNzriXouEF0S0LYesoRJFMaoualCuF3F6sYwsiZzE116Zww9iHC8YawgOwpjrmx08P8L2grT+VsgI9ftm1+H0YplCVhf35CRhupqlXDAOhSCBdk+sr0ddL0fvzbYb4vrhZFBjwguBZftjrjob+9Z9f362lmN1rohl+yzMFDg5XyKMEqI4YaYqnKve+2QXU5M5t1xN+w5BrKNizrjnmf4otw8G9CyPKE6QJDG0eecQRxCK2sWde5Rw73EIwggJiSvrbcpH7qfruz3OrQiHO9NQ73I1Ofp+WHaAPxw+O45RvxSI+mmn7yHL0lj+w3bF+eDOPWOunufX31gcCvSanF6q3PM1hXFCrWiiyGK4O3dHXrHVc0lGIUQi9vmRi14QxvRt/4FFNy6vt4iihDhOSBIJyw545VQdPxDuZEfPEJqqcH61SqPjoGvKIw3JTfhyYTmib8ALIlRZptl1n7u+5EbXJkkkjOHwaRgl2HZANvt8xQW6ruGFYn9SFYnrO11efWn2KV/Vw/H+lQPCICIMEyJV4r1Pdp+7IY78sF+la3nkPke/ylMb4uj1epRKwu5OVVV6vcOkxyuvvMJ//9//90/r0l4YthsiOJuferGdOAC+/eYi/+u/usIH1w9odp1JA9eE5xJDU5Ak0gPEKIGdMVRcP6Q3CIiihGsbPRFE6wq1oonnh/zRv7tBkggljvlajjBOyGU0qiVxEBi4IuHYGk53/8mPb7E0UxgeHMSgRzlvEEYxkgSdnoehykTDwQnbDVnb7WHqatookjliH14pGCzO5McOLhdPT/Hp7XY6qW/oyrGNH7VS5r5r1tRVgihmY7dPGMUU88bRIcbnolHZDyIu32rhBRGKInF+tTpJDE14LoiimMtrLWw3pGt5aKpM1tQoFwzOLJU/s1j6qDS7Dje2ukSRcOCplzJsHQyoFg1yGQ3bDUkA2ZXIZ7S0ECJJovmpOxDK3TO1LIauUC6avH1+hoOOg+0GJEnCQUcUkA46LifmDE7Ml7iy3sb1QpDglYxQ16sUTCoFk74tfi+Khc1oGCZs7lvkMzq5jEalaI4VcWw34PKaSJIYmsL5E1X0obJHKW9g2QFJAromE8XD91EiPSzei1HhWVFkUXhURLJHU2XUoUT5k1SKn/D5GQ3+jJQqbDdEkoQCXbfv0+57omlbVynndWYqWeIYkjjmxmaHZtclDGMMXahOqjJ0Bz5rOz2+fnGOd87PctA+TFDemdSTZYnewEvdY+rlTPrZOQ5dU5BlKS1Amsb4Z7SUNz5TPSiKYi6ttXDcEFmWOLNUfmyKQw/y/BMmPAr5rE7XEipRkgSl3JP/nBWGCUJJAtePSBJRmMxlRfFVliXaXRdFljEMjSQRTlObBz38ICKMYy6sVpFk0cwwcMLh4KPMp7fb/PzyHu2eS7PnsjJTpKnLLM0UKOYM4LC4Uy483Gst5vRjh7E/L9ViJlXtl6SJCtSEF4dR3BjHIp4Mh42JhqbguBEg4QWxUIgeFiE1ReLWdo8kSdA0mXNH1OM6fY9rG22SBCzXTwczADRZ4urtDiTCJe6vvnsYJ+637HRgTVUkkiRJ4/tCTuf8iXHVuc+LoSnpAEnX8ri20SGOEzKGyvkT1bsKrs8iYlDt8eUcTUMRg7WIGO2LamR8XBRyxpjKVGmyTx/LbDVHOW8ORVsSFFlClSTiWCIhYeCGWK5ovrLdgCiOyRgasiJRLph0LZ+O5XFjqzP8fRlFlpiqZKiXTRpdj0bHFfuDKmMaZqoID1DIqly61bwrFnf9CNcL2dy3mKpkqBTMe54lGx2Hm9ti6LOYF4Wp0X4hy9IDF2uPnpOFGExt7HNfzOqHTZ0SFHOT3NmECV92RkriI2Xc5bniXcq4x3F9s5PuJ8uzBWZrOTRVZn4qR6srnIxUVSabGd/3NFVOG091TSEcNqC2+6Kust8W+cTTS2X6ts/V9TbXNzv0LDEMUi9nuBjFZHQVZzhgZ2gKmiITxTEHbRs/iHD9CFWVMBIhUhNEMbYTcGu7x2wtR6VgksRuWoOplzJUiyZRFLN5YKGqEpqq8NJK5a4B0Fvb3TQvtDidZ34qf88z3v1qM8W8zu98/cRnvtcPw5PMD92Lx12bKeT0MXe2J3EWfh7RVJnbu326A49WzyU7rNtljlG4B5Hj7g2VuUcud68dGQItZHQRO8FwnapoijxsXI/wgphS3mCqnBUCEOXDhkMJiR9+sE2z69AbBGRNDdsNGLgRH91o3BV/qKrMa2emUjdkEC6lo4Gff/f+Zupy9vLJGm+cOxTLuet13ZHbv9frb/Vcbmx2SIZOai+tVCeDHBPuwjRU/ECsA1mWMLTDM3MpbyBL0jBvIM6SqiKhSBLz9Ry1Uoa+7fPBtQZxnGAaChdO1O46d6uqzMXTUwBcWWvRG/hkTY3pSgZFkfjkZotOz+PK2qgeoVDMGfSHa0WWJYo54ex0uJ9niBORcwBAGp6lJVAVBVkO8Z2Qg66Dqsqpu1S9nGG/beMH8bD2pqGpcjrMaQzrFI9KRlfph4fv570GISdMeN4wdTGwOBLZKGTuH5skCQRRjKGr9Ac+pqGNxTP1Uoa/8q6IAfu2PzbEkSQJH14/uOeZ/ijVojEcihT9R/U7Ys5RLH3cHqXrKpYT0LVEzFUujOefTF3hw+sNwjBGVWUurFbHXHVM4zAWVxX5vjnHO/Mgjh/y4fWGyH/kdExDYb8lYuvZWnZM9BZgaaaQnk/u95pURcY0VOrD+CJzh5Pbna5AxbxxKLgj3R1j3I+cqdK1POJECOuUCwaz9xHbyJoay7OT/MuEB0NTZbYPBmK4SRJiUM8bpayGaahIw7gia6jP3QAHQDr5hRBLODlXvM8PP5tIJDSHbtOyBJXic/h34PH0qzy1Dq+ZmRk6nQ4AKysr/OxnP+Mb3/gGAFevXiWXe/DBg//qv/qv+PM//3O2trb4oz/6I86ePQtAs9nkP/vP/jM2NjbQdZ3/8r/8L/nKV77y2F/Ls8rOwZfDiQPEtPCFE1Uu3Wrx/V9u8h9858zTvqQJEx4a01A5s1RhrzWgXDAoZDSqwyT6+k5vqGLjIknCkqxvB9QrGWwnFE3JiEl7dbbA6cUyvYFHMadTLZmszBX42aU9Zmoiken5ET3Lp1wwmKllyZoqthOiKBL7HZsgiHjrwgw3Njv07YBXTtUwNZWNoSIgQDFnsDRboNG2qRRN5o4J/H/z7WXev3pAQsIbZ6eRZXnMjSOKYmRZqHjcq1Ccy2iU8zp7mkw+q1ErZ1iaztHseiiKxFvnZ0gSMUl+3LT/qOn0aSZAm103bcyIooS9lj1RZ5rwuYmi+L4KF4+K74eoqowsy3QsD9sNiWLh+mBoQrWq0/c46NhM38cW9IGeK4xRZVJnNhCva+vAgkQo5rV7HjlTY7aWxfFCVuaK9AYerZ5HKW9werHIqcUyjhey07BIEIUPCYmMIRQyzq1U2T6wKBcNVFmi3Rfqc6auksQJm/s9FqbyVAsGXVlCVWQxVKfKnFwo0ew6/MZXFtlpDGj0XGZrOaGwN1zPxymD7rVsokgMfXiB2Afm6uL9MjSFs8sV9lo21ZKBhFDrmypnUGWJOI7H3pOjVIsmy7MFupbHb391WdhpS6TXVMwZTFUmw6zPMqN71mh9xUMVmoEbUCmaLE3nUjeucytVVuaKnF2O+MmlHbJxRJTX6NkBhiZTyOlUSxkqwwEnxwt45XSd7sDj6nqbuXqOb7+xeNfzZwyVXEYjQSjJRHFyz0EOXVM4s1Rmr2WjqTKL0w/f0NmxvDRhGscJu83B5zrI3u++P+HBCMOYGNAn7mD35BsX5/j5lX1sN+D0UvmBnSk+D0L1Lubrr8zzy6t72G7AmaUyi1N5HC+iWjLIGAo3t3rksyqaJpNECQM3IIwisZc4PromLLAzhkJ+2KxwZb1FGMUkiHttnCSiMSiB187UiWIxOLkwVXgsjiOjOP/zDHx+8/V5fn5pD9cPObdSfWQL2gkTnkVcP8TUVV5aqbCx30dC4sxymf3h0HEhq1PK6+w1bVRFNLiVCwaOF1DKCQGGKE6QJeGGEMfCaUNVVF45VeP2njXcA1RsTyi81ksmthcyKqtsNyzhegmAaJywHPHc8/W8UGuDh3bJ8MMYGVIRh+POLXstOz2rO15Iu+c9cAwbxzFhGN+VV5Ak6ZGv+WlxcqHM5n6fIIyZqWbRNeWJnfOeBDPVLF97ZZabW12KOYM3X5p52pf0THJutcLA8fl0s4OuymweWARDpfcwiqgUNHqDkJlqduhYK/HWS9MM3IBmx2W2lkUGEiRMUyVnqvhBRAJoiszLJ6vomkyj4zA/lWd1tsAH1xv0Bh4n50sYhoozrBOMYnFNldhr2WRNjZlqFtsLmKvnWJjK3xUnun4oxKKGdcGe5ad7xVEeJP+233bSJgTPj9hpWszVC6iyhCxLvHNhBkWW6Ds+Z5Yq1MsTBcgJE77s5DIaK7MFOn0PU1dZfIABDtcLx1T+tw8GadPSr72xyC+u7Avl/5M1dHX83qsqYlh2uzGgWjKRJbFfWbafikm1ei62G7C9b6HIMqau0B/mEysFg3bPY2kmjywLRc+zyxVsN+D2Xp/ZWo44ibGdkNlqho7lE0Ux1ZLJTC1Hu+cRxTHfeXORy2stGl2HmWqO86tVbu/1aXQcpqtZFFkmDGN2GgPOLB/ux34QjQl7bB1YzE8d1ohdN0BWZDRVTs9qluVimiqqKmKr++Vcwih+4MHb43623X/w/NDRHPXn4XHXZr728iyqImO7AacWy8+kqODjOI+PeND4OoxiKkUDRRHK0oWczlw9d88ehaWZghCw8ELq5cyYGnUcJ3zrjQU+uCaaRC+crJDE8N4nu8xWcwSREL3IZ1QWp3O88/I8jhew3RiQz6hcWWujyjLVgoksS/hByCsn67y0UsEPRJ1jrpYb+5wnScKJ+RLbBxZRnDBfz6EqMpbtpwMcAJfWmrx2ZuqueGf0ntdKGYIwpmt55LP6PdWsdxqDtOfKsoPUueQ4ojhB4unWOCc8HU4tlNjYswijmKlyZmzo4OxyBccLKeQ0FFmmWjTJGCpzwwEOQHyeoxhJknC9iGbHoV7O4PshmiYjSfLYXn9q8fD5/savn+R//7NPSeKIRBKD5CTivjZbzXFqoUTWFPVCTZVYmbu7qfnoGq+VMrx7MeHqeptGZ4Dnx2QzmhC0Ge5Vja6TirlEUcJ+2+HcSoWtAwsJicXp4/eT0X38s2oGp5dK3N7tE8UJc/Xc53ZmmjDhcfA4+lhUVeY33lrkV582UBSJN+8xbDjKRcqSRDlvEAQxxbxOEEZ33e9H955CVufkQomd5oBSTicMY6IowQ9DQE3zEMdh6iqvnZ3i2u02pqbw+tmpsesY5TODUMRpra576DqcJJxeKHFzp4csifW7PFPi2u02hZzIYzSHg9lhGLPftseGK84uV9jY6xPHCQtT+WPjmNHeMVvLEsUxAyeglDc46Dhp/qNteXjNQ9ee3abNwnThnnHR6DVFcYzriXPDSNhPkSXOrVS4td1FUSROLpTHfne6kiWMYjo9l3LRZKaSZXPfwvVDpipZsqb2wHHZ2eUK67t9upbHTDXHwtTjFeqZ8OUmCGMqBQNJGg1JPX8xqqZp/P2/8TJ/+K8vIUkS//HvvvK0L+mRqBQ0Bm5IkojhrSOG2c8N2YxKdpjrzmU0ouT5jc8+b13nqQ1xvPnmm/zyl7/ku9/9Ln/tr/01/sk/+SccHBygaRr//J//c/76X//rD/xYv/3bv83f//t/n7/9t//22L//t//tf8vrr7/O//w//898+OGH/MN/+A/5N//m36SJqBedL5MTB8B33lri0q0W3/vFZIhjwvNLuWDcpYq0vtvjynqLZsclTmJgaLFnapRyBn3bZ7dp0+o5DIbKfb/xlSW++vIcl241+Tfv3QZgfipPIaPz0Y0Dkbj2I2RZ4isXZulZHje2umw1LHqWsFw0NAXbC8kaGkEYc3u3R4KYfC9kdbYOLD66Jg6DtXKG775j3NVYVS6YfOcrSwB0+i7/x59fw/ZCpioZTiyU2Dmw+OhGk6yhMlvP8d2vLKWNGEeZKmcZOGH69XQ1xxvnRHOA7Qa8/+kBYRhTLZqcWiylyemDtsPaTpcEWJ4p3HfC/Elyl7LJc9KQMeHZJI4TPt1o07N8DE3h3ErlLnWGR+WHv9pibaeHqsr8+hsLZE2V7YaFZQtL4/mpPEEY8+/e3yQBilmNv/ndc4dJlYfgvY93uLbRQVEkvvnaAkszBW5udWl0HHYaYphtFOQqQ5WM1bmi+Pdh8a438Lmx1aNnhyxNF7h4qs6f/3yD3ZZoUCkGQrU8n9E4uyxsVa+sC7W32/s9dEXB9UL6TkC5YJDE8PLJKu2+xw8/2Oaj601OLpR499X5oeJeiB/GbO1bHGjCBaFWPr6pN0kS1na6+EFMxlBZuUOZ485p7DiO+f77W2ztW+i6wnfeXGSqcvz7OlvLpfvZ+RO1h37vJzw9bDfg6nqbIIxRFYmtgz4DJ0RVZAxdZraS4eZWF0WJcPwYx4/IZ3X+9CfXuLzewvcjClmNXEYMb5AIJWvLDtjY7/Ne3uDiqSbFnIGuKTh+hOOH6EcUWiRJwg9iBkP7XzcbIX9GUffzqgc8zvtg3/b59HabKEpEPDEZinxobm13+cnHO8NCeO2eSf0vO7qu8u6r81/ocyqKBBLUSia/9c4Kpq4QxQlX1lus7fQwNJVCVqVr+cRxQs9yafc9bDdAksQ1N7oespRg6BqyJM4XWw2LtZ0ucSwGxpIENEUMBmrDppivnH88FrtJknBjq0ur66KqogHqTmvwB8XUVb75+sJjua4JE54VbDfk3/x0nf7Ap5TXuXi6TtfykQBJlji9WAZEzN8deBSH6ppxAv2BRxglyJLP7sGAte0esiwRRTE3t7upCl65aJLL6CiyRKvvokUino6TZMxRa2O3z48/2iaKYXW2wLfeWMDxIoIgRlEktvYtkkSISDyoQMwH1w746EYDCXjj3BRBmOD5EYWsztmVSlpkvDMWeNDmia0Dix/8aoswjDkxX2SqkqXT99A1mZlqlq0DUSydq+ceSKX7aaOpchrLxHHC1fUWXctH12Re+v+z91/Bkq1peh72LL9Were9LW+Od909PY3pmR4PYjgCRVIKRQAKRBBSIHQLDG8mCBK4A25wpQhFSLiACCkEgZSoCRIzHI7v6ek+3X1OH1enfG3v0pvlnS7+3Kv2rtq7zLFV1flEnIhTtXNnrszK9f/f/5n3Xal9Yee8L5Pzi1XOL1Yf/8CfU5Ik5dZmlyhJWZktkiRinwzDiP4oYOiGTFctlqaLeEFMu++xsT9EApI0xfVDOgOfOAXLUJit59nrOPyf/7sPaPeEG/WvvLPEq+eONxN+6+W57P8PlSsPafVdfvzpHjtNm/mpAheXqszUcyzNFI/FiReXq7T7Hu2+y9ANubJaJWeIPf3Be/ig67C+K/KGK7OlUxsWDwu7jhdye6vHX38o8hrnl6q8fWWaetniF77i+GvChAnPLkEYc329g+fHFHIai9MnN2A9iKJISNJ9UUpVvf87BUvnu28s4vkRn651+MGHOwCszpe4ulrHNFQKOZ2L48GIezt9hk5IZ+ghKxI5Q8P1Iz6602K/7dAeeIycMGtkUWSZndaQezsinrq4XKWY06kUDQxN4S/e38LxIlRF4o2L01xareF4IR/faQNgNVT6dsBHd9poqsx3XlvImsbOL1aoFg1ub/bYbdkMnYDeyGJh+r5DuiIff++HMVZv6PEHf3WH21uiaewbV+f49qvz/Ls/vsHNzR6aKvOf/9oFzi9WubHRfajWkiQpNze6DOwAQx/no08R5QrCmBvrXVw/Im9pXF6pHhuSOcpJKuhJkvAX722z3RQ50u+9tfi5hvq+6NrM15EreFLSNOXWZo/eUDhqX1qpfi7XkXbf5e62qK8tTRczgaKTUBWZUt4YO32KvMaj4nFFlh7Kl4Nwvbmz1SdJUi4sVVjfHfDf/ofrdIc+lqmABKtzZTb2Buy0Xf743U0KOZ3eMBB1DDeEJKXd91BVkQPNF038KCGIInRVJYoSfnazKe7bksF01eLWpnjNmXqOc0euS1Xl7J4a2AFBGPHejQPOLZbHwhgPf+ZHc/enf17SA38++Xu50xqxtT9CkuDsQvmZHBqa8OWhqQqrcyVubna5tdk7Vg88HJSbqxfQNZkUCMOEdt+jUbHY7zjc2OgytEPm6jk0VebGRpf/5x/fYL9ti1zg1WlePTfFuXEe4ujr/dEPN/jwtnDzEwJQMpqpUi7ovHlpioOey52dHh/fadOoWCiyxPml++fCk+7xswtlDF3hf/mRTXvgEacpaQp3NnuUcvpDLvWqIpMzNS4snXzedP2IG+sdglC4hIRxQhKnD/UKHP08D9/rhAnPAk96jn4SGpUcv/aN5RN/5gURf/yjdfqjgGJe59xCJRssABi5odjvU+HiFicpuy0bWZZYmSvywc0me20Hy1BYninxw493cH2R65ufPv2aFVnCdiNkWSZGwnZD/qcf3KPTF45d8/UcP/x4Dz+MKRd0zsyXjv1uuWjwekEMfqiqJESpSuZYNObh+/sohqZkOdYHOczTHM2/HRWv6w19DkeiZTjmNKIoEo86jiRxyt3tHlGckjNVzj0gAvnDj3f46fUDJOB77yzx1uX7NZkwEmu460UkqcdUJXdsQO5p4jJDV3nriNDKpDdpwheJpsrkLS2r+xnPQf76JP79n97i2ppwKf93f3qD3/8Hv/A1X9HTY7sx41lAHD+i8iW7XH4ZqIpYYxVFJo5TjOdwyDZOUm6udxk6j8+XPIqv7U76R//oH3FwcADAP/yH/5BWq8Uf/MEfAPDbv/3b/Jf/5X/5xM/1zjvvnPj3f/iHf8if/MmfAPDqq69Sr9f56U9/yje/+c3PfN1pmuI4zmf+/a8KodogGrPKOfm5uObPy5sXq6iKxNrugOv3DlieefEdSCa8+DheyH7boVww8ANhs13IaQxGPtO1HKoik6ZgagojN6RgaciyxI8/3Wd1rsx7Nw6ySfGd5oi3Ls+gawrVokmxoKMoEmmacm93gO0GDEYB/ZFPSspex6FRMWmUTfY7DgVLFEoGI6E8Y3shfdtHkYXa/Ye3mnzntdObrD683cLxxSDG5v4Q2wkZuaFQHowSdE3hxkY3s209ylTVEq83Vq85mgDd2B8Sja1UOwOP+sjMkqdru/2sYLGxP2SqYn0tipaNionthfSGHnlLY/4Rh6oJEx5Hu+8xGAnLXz+M2W6OvpDE425rxNquOKhEUcJ71w/49qvzGJqCr8bM1nPkDJX1/T5hJJKithfxF+9v8Z/96sWnfA8utzZ7gFDU+en1fcoFg1ZPpEXqFZOBHbDQKIhJfiQMQ2F5toimKoyckN7Qx/ZEwwupWFdqZVNYR48TOKos1rjDZO1Wc0QQJqRpShSlSCQc9Fw0VUFXFYZOwMAO2DoYkTdFsfbudp9zixV2WyOhcJGmOH6EoSkYukJ6xKbwKGkqEjtJkqLryngI73S2mzbbB2IANwhi3rtxwG9+a/WpPtcJzz5bB6PM/rs39InjFE2R0TSZpZkiAzsgTVMMTSFFNFz95NouNze6KJI0VtmPmKsLNbj5RgHbDbl2rz0u/qV8cKvJdDVHvWzhuCEf3W4da4JO0xRZBkNVSEnHsUTKg0nPL5JywWB+Kk+752X38mdlY2+Yqfc2uy5TFYvCRJ3/qfjxp/vZZ3jtbpuLS5XJZ/iMYOoqZ+bK7LRGqIqMZSh8dLstFLHjlFEY0Ok7+EFMPqdxb3cg1B4liTBOUJNUKHOnoMgxXpigqTK7LZtSzmC/46DIQl1KURRMXTlWsPki6I+CTPU2ihI2D4Zcfg7tlCdM+LK4dq/F0BaxfHfo89cf7nBhsUoK5A1xVuwOPcoFEzeICMIYSZLojXyWZkpI4z8f9BxKeYMkEWrChqYQSgmaIpNKEqSiQFcvWUh4BJGI540jyeM7u30kSUKRYaclYtFa2cIPY96/fpANFG/tjx5S/TwJL4j46HYLEGmIP39vi7fHxcihI8QiDgvSSzNFwijG82NqZfMhMYvT+Mmn+9n5/9q9DstuRLVoEIQJ7904YGrc4LfbspmqWp8pWf510Rl49MfnvCBM2GqOTi04T3h+OPrvutO0UcbOOt//2TZeIOL6FKFEPj9dgFScB/faDiM3RNNEDitnqFimhh/Gwpmy7xFEKZ2Bxyd32yw0iqe62RyNxU1DEfdpKlEtmuy3Hc4tlDm3IMQBfnIkTvz+B9uU8zqGrmLpCnttmysrdeYaeawjBdo0TUXjyfhovL43yBq5HmSuUcALYrabQ1w/IgyFU9B2c0i1ZEwaEydMmHCM3ZaN5wspyZET0uy5TyTSpKkKZxfKbB2MUGTpRPGHnZZNu+/ijF0h2j3vob136ASZq8VMNUffDqgWTYIoRkIiZ6rc2xGDuXlLI0oSSnmdwTjWi+OUjb0hL50Va2yKaKgKx7WQdLxM5kyNlbkSey0bN4jIjdfYMErYOhhxcfl+82q9bI0/FzEgUS7obO4PuTQ+cymKzPnFinB6kyTOjBu/3r/ZZOvAxh1/njc3uthewM1xfjaMEv7wB+v87i+rJ9ZaWn03e19+ELPbsk8V1dht27jjOpDthhx03azJrFI0mGvk6fTFnrR0Qh13Y38oXJq5nyP9jW+unvhaT8LPU22mN/TpDcXw5knfn6fl3s79/X1zf0ijYp06fP1F5f7WdweZKvnm3oC//Nk2aSLe22AE5xfKrO0OGNg+xZxBGCX89392i6tnGrh+xNAO0FSJYkGn3XPQVYX5sevGbsvhnauzIgYZf8+7A59m182aG/fbDlMVKxt+McdDO+9e2ydKEq6cqZMkKRu7Q6pFk+5n/MxX5krc2x4QhDEz9dyJ4hdhFLO1L+6FNIW13cEkVvo55LR64EHHwXZFL9D22HVvqmJhuyFb+0MOxnnzOE7pDoXzZXfgstO0cf0QTVX4+LY4RzQqfibgdPh6P7vZRFdkYlXG9iNMU2WunufScnU8FBXjuOJ5Rm7Ijz/dPzbEcRo/+XQfRZEp5HQ29oZcWq4yVRF72yvn6kxVLQajQKzXp6j7H7J9MMqcO+5s9caDZPqx/WvChGeVpzlHf16u3etkeYmhHTB0fKolE9+PaVQt9ttOdh13t/vIY4e5JEl595NdugPxu64f897NAw7r73GS0On5LD7c2iNeywnxfDG8rMgS19Y6lMfDno4b8v6tZqbkH8cpnb6f5SIfjGlrRTOLD6MowY9iGhVrHA+c7nx1Eo/Lv63Olbi70ycME2bqOSxDzVy5lmeLj3Q6SyUR70thjKGrHO0gGIwCfvKp6JFNgb94b/vYEMd+x84c6xwvYr9jHxsuWdt98rhsvpHHCyJsN6RSNGmcIkg5YcJnIWdqLM8W2W87aJoQYX3eaHZcPrrdzv78/vUWrutiWc9XrD0cx4IAaQIf3D7g4nNWjy0VhDBpGMVYpvqQ8/PzQLvnMnSeLF/yKL62Stby8jLLy2ISVFEUfv/3f5/f//3f/8Kev9vtkiQJtdr9L+fCwgK7u7uf63nDMOTTTz/9vJf3pbPVEgmDoqVw787Nr/lqvjrOzxlc3/L4H/70Y37t9Ykq74TnG8cL+eRem7vbPaoliyRNURWJ1bkSQzvIDgiWrvLGlSl6tlDhbfXcbCJ8a3/I3e0+ABeWKlxeqeJ4UZYETZKUWxtd7mz1QBIHRsYHIVKRdOyNgiy5bmhKltwkTbHdEMcLubvT59q9Fp4f8WvfWCGMYu5s9Xn/5gEf3GphmQqLUwUMTcUPY1o9F8+PkCWJ/bZDnCY4XsQr5+8ryrf7Lj/4cIcgjLlyps7VU9TmHzwmSUiEUcztrR53t/sULI2e7XPQcWl1XX7pjYWvvFFRksS/G89hADvhq+Wj201ubnQxdJXvvDZP5StIMgZhzN3tPtvNIQM7oJQ/fn/Uy1ZWHKgUDVp9hx9+tDt2DxADE+/fOMgeX8hpmQXo3e0eI0fYj67OlZ7YDlYfK/6cdt+vzJVYmYOBE7CxP4QEpmriGvOWRt4sE0UJn9xrc9B1mKsX+Parc8eeI29qzNZzDEY+NzZ6bO4P0FQFVZHHakUmqnI/VPb8iM39Ed2hN17DQsq+mU23H9IdemzsDdnv2FQKBrlGge3mkD/64RqlgsFsPY+lq+NGekkkcFJodh2GtlBBmfDicpjbs72Qjf0haSpc89Z2++x3HJZmiqzOlWn2HW6vd2n1HHRdxQ9E4s4PE9IU7u32mW/kKR3ajUuQPuJ1H8T1InbbNiM3zOx8LyxVjinKfFH0hj7re2JAbHW+9ESOHnGScm+7z9ARa9KZ+fJT2Umv7w3o9D0sU+XcQmVijf4CMXIC/upnO4zcgHOLlRfSRWSqamVNmHe2euy2RmweDGkPPEo5g1JOY7tls9sa4fsRwqcPkgSSOCFJE2QkbC/E9SOiMML3Y9woIghiygWDgqmx33WQ7sFMPX9qkcPxhApXFCfMNwqfyXnraYiihL/6YJtWz6VRsfhbry2MlbUmTHhxSFNRLPTDGF2VaRxpupZlicWZItWSia7J/M1HO2zuDcd/XyAdq1Q+OEQcxQn7bQc3EAMN5YLB0YekqUjip4kQd3C8CMtQkSQp25f9B722jxQk4yThv/vTW+x3HKaqOf7ur1zA0k+JGcRM6fgpju/d3YHHbmuEosicnS9nzYYP4ocxd7Z6+EHMTC13rHEjjmOaXSdTAj0aHkiPGEgdOgH3dvqkiVAV7I18BnZAMSccS96/1QTgrUvTBFH8mc4wzyJBEPGXP9uhO/SYq+f59qtzyPJkXf2qOeg6jJyQ7tBjppZjupqjUtJxmyGdgUvB0ihYwkVy5AQoikQxp4tmBlmiUbaoFA2mqzkaZUsMgyfpuGEwPZbjcoOYf/8nN7i10SVNYXmuxPmFCq9caFDM6/RHPp2hj6krOF5Id+Cxvjvg7ELlWPOg7YWs7Q1IooRqyeTMXInlmSqvXbzfneEFEd//2TadgYfrR1xaqdIbBqzt9tnaH3JhqcKVM3W2Doa8d6OJLMHbl2c4v1jB9SM6fZ+dccPZ81igmzBhwlfAKVtwFCfc3e5juyHVksnKCc1UlYJBu++NhwgcVs3SiQ1XaZrSG/l4QYSqioGPo81z3YHHQddhYIdM1yxmajlkWcL1IhRZppjThDq5KjNdzbE4XeDavQ7NnsNPPz0gJaU/WubbrwpxjXbfHYvYpEhIxHHK2YWyeF5J4vp6h73xMGp/FHDQdVBkiZyh8u61feI44cxCiTNHVH2jOOH6WgfXj6iXTeIkJY5T8paaDd15XsTabh/bjTANhcXpkxtjT6q1PIgfhPz1B11+8uk+q3Ml3rk6y0HHycQIDgcQT2NppvilO6Y5XsBfvr/D0AlYmSvxjauzk9rMCRzWBVw/olGxHvp3OXbLSA/8+QTSVDiJkcIpukc4XsT3P9iiPwpYmikecw87iutH7DSHtHsuSSoGuZI0odX3mKlZ+EHMcOQTRDGKKqOpPeplk3bfxQ8S6mWDq6s13CBB1WQqBYNzixVW50r87GaTn366j+0FqIpCpWgQJwmaqhBHCUmacn6xgu2G/HRc93jr0jSdgRCs6A6FA09v5BPGMf1hwGw9d2zoPQhi/vu/uM1+22amnuc/+e75Y07Jpq5y5czz1WA14evhcffdUfY6Nnc2e8RpSpKkBEFMqWjw8tkG9bLF9bU2IzckjGIcN2Jg+3z/g20kCV69MIUxrg388ONdml0HCaiWhdPn7373LNWiBRJMVyzylsq9nT69oS8EGoKI/+5Pb6KqCheXKvhhjKrIuH7E7a0ethtyabnK0PY5vtukpIj99n/863t0hz7zjTwXlqvjheTkD6DVc7mx0cVxQ2bq9/OVnYFHb+iTpCmvX5jK3C039ga0s3pB+bEiFRMmPGsc3T8XpwoPOVh2B6I2LclwZr78yDO2qsjHRJf+lx+t8efvi6HJq2eqnF0os3lgo8qSEFI8gixJ1Er3exe6Q4//6//3I2wv5PWLU3z3zaVjj7c9IfikKjLVkkFvKOJuIa4oauSHeU7pgRCyWjKpjl/rcGDykChJePfaXrbPLk0Xj+2zj+Jx66ppqA/1J7xy/n5dc69ts9uy0TWFcwvlh1x0j+ZvXT/kozs2cZycWBvdOhjS7LqYuoppfLH5ujTlxDzyhAlfFMn4u/5UDQrPEEH0aAHW5wFJSo+WY1Cf47z/4ZqVJM//v8tn5fmRI/sMPJiQ+yI2J03TOH/+/Od+ni+b1s92gSZLsyWuXLnydV/OV8Zvx/tc/399yKfbIf+n/83l57rQOuHZ5Ksc4rqzLRoMijmdezs98qbO0kyBkROi62KYQpYk3rwyw27LJm+phHGCIsvUSyaQsNu2CWOxyW23bJIk4cx8KbPa0zWZoRNSL5nstoUqzeqsiR8mRHHC0A0xDYWcoVCwNMIooVQQ13FtrYOiiN+P4wRJlvjp9QNW50RBpDMQQxhRnBKEKrbT5RtXZ9hr21RLBjO1PNfutYniGE1VCKIY+ci6/cOPdrMp+PeuHzDfyJ/Y0L40U8TxuoRRQq1sUi7o3NsZMLRD6mWTW5s9Wn2X6UqOzsDj3Wt7fO/tk+0kJ0z4Omn3XT64JZRrXT/mbz7a47e/vfrQ4+plk87ApT8SdmwLpxTdnpSN/eG4gckgZ6p4QUQpZ/DWlRkqRYNayaQz8NA1mcXpAt2BQxAmxElKEMWEccJB16HVczm7UCaMEvZMmzRN6Q5EUqXVc8lbWtYkWi9bXFypcnO9i6rKvH15hlJeZ6pqCeUrVWb5BDv1B0kS4aghnDUSVFlidbbE+t5g7MST4gcJa7sDamWTs/Nl7LFT2fJsEV1TGHkREuD7MYNRgOtHlAs6+x2HldkS58aF1DtbPYIowfZCRk6AoSkMbJ9mx+HiWGEoSdLM7r1g6uy2hd3s+t6QWslk+2DE5v6QNy/NsL47YL6Rp28HJEnK0kwRXR8RhBHFvMFbl1+8xuQJsDhdZOSE7LZsygUdCYn3bxygyBKNSo7e0Mc0FLp9Hz8Se3oSp5iGQn8UZgVQz09oDTziRGK2ZnFuoSwStEi8calBMWfQ7LoUchqvXjwugyNJEjttWzjPjALiJGEwEoMWp1mTf1bSNOX2Vi8bHr291ePNS9OPVKoB2G/bWWG03RdKiYdqm8uzRW5t9IjihOla7qHBzM7AY78tXAjDUcDWwfAzqR28yLxzZYYffrxLnKS8dKb+XLlwvHttj3ZfKKFeu9tmppZj4TGqbM8zQydA02R6wwASYSPet/1xUwEkYv6aJBFJOqGQBYYhC8VaSXRZdEYeUZSQMzUGo4Cf3jjg4nKFKE756w93+E9++eQcx72dQaZMu7Y3oFTQH6tqXyka48YJD02VWX6K5pxP7rUzV6rtgxEf323x+sXJfjjhxWKqYqLIEsl4COHycpU4FW0JlqFlRclmz2G7OSKIE6QY9rsOFxarRLFwxJuu5vCCGEURrXW2FxInKZ2Bj6rISJJEilDpd7yIJE3Zao6olU1KeYMwCri6UuPD202iOOXtK9OsLpQZjM8Yb16aYrtpk6QpzZ7L+lhxbnN/yF/8dIPf+oUzD703U1d57XyDD263UGSJ7765QBSleH5MzlTp275oBAxF4+Ur5xsnfkbruwNG45h962BEMa9nxeepao67OwPiJGWqajDbyON6wiXvzcvTbB0I97yF6cKx9er2Zi8TpPjpjQNKOdEw3+w6fHinRX6stPtHP1zj1QsNZEl+6AzzZXN47uoNfQxNCGF8Xj643WKvLZrk13YH1CsmV1ZPHpSf8OURRiLHVjBFo2+UJKiKiqlrwplHgnMLFbpDH0WRiJKUWslkpmYRRgnNnkutZFIrm6zMFbH9kI/vtIiTmLyhoSoS3aHHVNXiL366wc31Hr2Rz8gVA50S4PghtZKJIsssTBW4t9Nnp2VTK5vH4oF3rs7wVz/bZrflYGoqATHdoU+p4PPqA/fsBzeb7I3jbj+IWd8bMhgJ0RnHi7i92ceyNH78yd59d48Pd/jf/volVmZL/PTTfUxDJU4TVFXO1OInTJgw4ZC5ej7L1RVzeqbMu90cZTHTQcehmNMeUqffadn346qu2NOPuhDOT+UZ2D47LVvk8SwNTVHYbY0yxVtFlvCjmPbAIwwTothgY2/I8myR7eaIvKVlYhhJmhKGCaahMl3L8Yd/s4bjhxQtne9/sMP5xQpDVwzPeX7E0Akp5hzmp/Lc2+lzfrHCvd0+uiqGIG5v9SlYKgvTRdp9j+/fa2cO45/cbfP6xRkcLxSiFSmZS8aNca41b4q4cqdlszRTpNP3kGUZSRLNKjlL4Te+uUp36HNzvYehyvztX1w9sdYC0ChbdAZCnf3uzlDU2wPxerWSSXvgCTepMMFIZCxTxfUiCjntoea/x7E8U2RhusD2wWgclz79mfDH1/Yzx+eb611mqjlWfg72mZNy+Y/isC4AwvmmlNePNRiuzpW4tzMgSVOWZ4qZW8VJ9Ec+uy0Rd4aREF46yVXuZzcPOOiIf5vbmz2mqznOHhlKWp0rc3urx05rRLloMlWxWNvtk6TCaTROUkxdJWepDGyfIEyYLRuoisRWc0gQJtRLOmGcYugqhi5hGiqVosHV8dDEfscW7iyjAAlRJ7VdcWYqWBpRlHBrs8ed7S6Hljk/ub7Pt1+ZY31vSLvnUS0ZbO4PMXQFTZU56LqcmS9lgzB/9cEW62PX8/XdAX/z8c5Dja2PQ1MVlmaKbB4MkaWTXYUmvPgcOyceqQdO13J0hz62G7IwVSCMIv7sp1sEQQwSbB6MqBQMUoRD0nTVopQ3qJcMIYyWQtnS6Q59OuPB7ovLVdb2ehx0HMp5nc7Qx/VifvmtBWolixSxRtfLJj07IG9qeIGo7feHPm4lR+SE/PG7G3zr5TlaXZcP77SQZQk/iPnkXpvVuTKb+0NGTsDqXAlFUWj2XNp9VwhLDn3hTlrUsQz1xKG/IIy5u9OnnNcZ2QF7bYfLq1Uh3rBtU8hpSIhc5uWVGt2hl51bwlHA5v7o2LozYcLXgRAALbO2K8RYV2ZLj3ThOLp/3tnuM1WzOL8o6nlxnHB7q5fVD29t9o7FT1fP1NhtjugOfcoFnZfOHj/bf//D3Uzc5aM7LRRFJopTQkm4bczWC+y1bXKGyvfeWeTHnxwwdALqZYvbWz0RBwI//HiPswtllmZEzKUqEkGYEMYpSZqQszTiOCVOUnQJlmdL3NrqEycpmioGLk/jwZrDzv7o2D77Vx9s8avvrDzRZ18tmlSKny3/5nhh5soRRgn3dgbHhzJTxueGhDBKWN8foivivNDsubxxaZqf3TxAliW++dJsJmwRRgGSJNz9bDc8VhM95MG47FHidY87C02Y8Hl48D443G+fJ/q++9DfPW8uHAALU0Xu7Yh/C0OXHxrwex4YjDyCMCZOUvwgylw9nycaFYvOUORLTEN5rJvcabywQxzVqghYOp1O5saxs7PD3NzJig5PiiRJ5HLP/ubWGohi59JM6bm43i+K77yxzP/lf7hGu++xtu/y8rmTC8ITJjwPeH7ETks0IDTKFtNVC9MQjQX1ksnidJH9jk3fDmiUTX7hlflMj0KSZW5tCdvhcl4fB/ES97aHxKQszxZRFJkPbzWx3YipisX5xTKLM0Xm6nlkWeLda3vsNEfYbsjACVlRZa6cqWWNEIosUy0Y/Ie/WWOvbdPuerhezM2NLkszRZIEovjo8JzEb//iOT683UQZN292Bx4LjQJI4vniI5L2/gOTr36Y4AURP7m2j+2FXFyucma+TM7UeOPSNHGSZofbaDy4UsobzDfySBKZoqAffLGTm3GSsrk/xAvE5/hZ7IzDSBS74zhhtp5/IpXyrxPHC9kaN9gtzRQzRa8Jnw/vAfXbIIpPfJwsS1xaqR37zn8egjBmv+sQhjGL0wVeOddg5khi4PxS5dhrBZFQ8YjjmO4wwHZFQ3qSpqQJIAsl7Qc5vC8P+cbVWd68OE2aJmy3HK6vd5iqWKzMlgiimHc/2cvUPFfnTk6oqopEzlRIU/ibj3f5/gc7LM0W+fu/dQkviFjfHWaP9YMYXVOolAxsN2R1vkSjbPHJ3TaaIjO0fdoDoRpULhhYhsIbl6ZYmDpMEgvFDNsNKeR0Zuo5dFU5tm4lY4UjAFWVWZotcm6+lB1k0/G6GI8nyONE/P/h77xyrsGZ+VJWlJ7w4qFrQt1N12QKliiM3tvpYrsJO60R9ZLJG5cWIU2zgUgJuLBUY2O3R7vvE6dCnyoME7pDF9KEV843mLoyw1zd4u0rc1RLJkGUoB9J4v3oo12ub3QoFwxkWdirq7Jo8I5TMRD1RZOkZN9vgDgWqhyPU7oJH1gvjq4fxZzOm5enSZL0xIHtB9eaB/88QazhK7MiVnveXA4ejOOC8OS98kUhSWGuXmCqMqJne0RxjOOFlAoGkiSGlpI4wQtiUgk0VaJoqczPFLGdkKEt1LyjSBRLlLEDlKErVApiOPpRn+Gx/Twla8B8HOcWK6zOP32c4j9wLQ85AzwFk3h1wrOKoijUSiaSlFItmkzX8ixMFZAk4WL34e0mQydASsVQRGF8jo2TlDMLZeI0RZEk8paGpsloioyqyhi6QhQnmRK0pspomkJv6DPXyJOkKZ4fEYT37+ul2SLfe3uROCZTqzuM+70gYuSExGnKQcc59h4ePLcc5ZXzU1xZrSPLZI4PcZIShDF/8d4m63sDFFnOGqhO4lF7eaVg8p3X5kkTUBRh154zNRRZIghjRk5AGKcPuQsefY4oFuq6MhIJIvfi+eI9pYdnmrF438D26Y98ZElirp7j47tteiOfxekiL539YochZFni4nL1CzvnwRe7rk74bHSHHmkqzn2moRAlCYamUC+ZLDTydAYucSKs41VFOOwV8wbnl8rMNQrZ98F2Q7abI96/2URVJF4622CqIhqpcoaWfcf9ICYlzRwjk0QoWW8djPCDmNl6nqmKxeJ0ng9utrJ4+jAeWJ0rI5Gy2xwxGCXUyya6rnJltcbG/pDt5oha0eTyau3Y9ytnaixPFxgUQppdUQiNk4TAi47FD1GckCQJpbzO1TN1Lq2IGo4sSVSKz3Yu7Emx3ZAb6x06A4/5Rh7T0AiimMrYmXPChAlPjq4pvHK+ka2FQydga3/Ijz7Zw3EjamWD1bnyfefwIzwuN2DqKq9fnKZRttg6GGXr4dF6RhglzNbEwGgYJVkDe87UePPSNGkq9u8wTrJ6R5ykrMwWqZQMDE/JnvPdT/aEGEeaMlW1xECGdP/aolhM5kuSxHyjgKpIDJ2Qj28LwZ/uyENTFDRNppTTyFsqsiyuxfFCgjCm1Xfpj3waFYu8qbHXtrm12aWU19nv2UxXcyxN5ZBkmatn6hRzOv/Ff/wKnhdhmvfPSw/WWkC8z8vjfHRv5GVNhCDOXsfUV1OJV841To1pml2X9sDF0lUWZ4oPPUaWZX7lraWH8lpPw4MxUHhKnv1FQ5Kkh3L5j+Jx90m9bFErmdl3/fM81yEPxqNecLxJp1IU4kaeH3HQc0CSqBQMVFXGMjRmGzk0TeG181MsThW4vdUjCBMUWWJ1pkipYIpYX5KYa+S5vFqj3XPZadn82XubqLLMXtummNeRJIkoTpAkidl6jjBK0DWFJEmR5BTXizNhi1JeZ75RoFww0FUZe/z3SZoy3yhgmSqyJPGX729RKRjY7vH3Zbsh63sDbCfEC8WQ+5PUE+cawj1VaHRMhCt/HjnpnOj5EZsHQzRVZnWuSG8U4PnQKJvYXkRv6KPKEtWCjiRLdMeicPmczmsXpyjkRCP1Qc+hM3D58bU9Mahn+2zviyGIQq7MSpqyNF3kP/3Vi2zsD0hSISBzb2eArsi8dXkaXRUOf9//YIe72z2SFMxxfiGIEtIk5XA1CMOEWsnk/GKJO1t9bC9CU2XOLVRwvBA/EA3HaQpRdPo6EicpjhfS6XsYhsJsPc+r56fE2V2Wsz35MK/5YN1jUi+Y8KwwVbVoVJ5sn31w/zya38vU8MfEJ8S9/9F3zp4aW8VxktXsUiSSVNQPZElCkmV+7RvL2e+macqbl8liznvbPQ66LnGSUMppmZCiuMaYesVC12U0RUFXFa5eqBPGCZoi4/gh335lLvvz46gUDfwwxjJUtpvDYz+zvZB7O338MGaqYpG3NDb3h6QpzE8VsvwqPD7/FkYJm/tDgkg4BFePiMxGccp+x2a7OcIYn1X+4r1N1nYHTFdznJkvHcvf2l6YDXGQwndem+eX31hEUaBvh9ze7GXPnabw0tn6qdf1eeKyJ63rTJjwJDx4/j6pL+hZp9PzHvq727sdzs89X8Moq3NlRk5AFKfMNAoPnUGeB6I4EYK9cYKhybjh8/d9Opov+Tx1neerY+Mp+a3f+i3+7b/9twB8+OGHtFot3nrrra/5qr4adlqiWWG+8fNVGNA1hV8cT5b9+XtbX/PVTJjw+QjDhJET4ngRsixhmaIJQR1bc/dGPpv7IwajgGbXRVFkZFn8J5EytAMWpgr4YUKawtn5Et2Rz2AUcHO9y8d3WqJx2RG23KahMl21sqA/jhP6o4Dtpk2r5zK0A9Z2Btn1TdcsTEPF0lWCMMYLIxwvRJZh5IaYhsrZeaEaoCoSr5yrkzdVVmbvq2a8cWkay9BQZJmcoR5T5nlptZ4VMmbrOaYqJn/z4S5ruwOaXeHy0RveD66OboZzjXz2PpbnSmJQBNE0+vK5L7bRYmNvwEHHYTAKuLPVZ+SGj/+lB7iz1afT9+iPAm5t9p7pokKSpFxf79Ib+vSGPjfXu1/3Jb0wzNVzTI2VySQJXjr76EPCF9XYkyQpg1GA40V0hz6WqT30mKOv9dr5KYp5HUVRkCSJRsUCJIIoQVIksUbVckzXcllxU9dkpioPFyRUVWarad+/h8b27T/4cIeNPWEh+tcf7NAf+Q/9LogEkO1G/PT6Prc3exx0Hd67fsB//+d3uXqmjj62RM4ZKheWKmw3R+y3HUZOyNrOgKET8M2rs8jjQa9a0aBeztG3ferlHLYbcWuzix/GrO8Oafc9JCRGboAsifd6tAFNVeRjSr0LUwXqlVymjlTIaazMFbF0lVrJoJjTqZXMrFhTOEE5cMKLxda++F7nDI39jsNB18YydUZeSH8U0Bv5NCom5xYr40ZMBRCFxNWFKrIqI0sQJ6IIkiTQtwP+5uN99jsOXiAUdzw/OpaMvb3Z5c/f32Kv7XBjvYs93qd1XWWukcfQFOanvvhzgyKLaz/k6P78KGaquWy4QFPlEwebTnueWsnMmrVlWWJu0ih1IrIsP3cDHCBUow4LCtWiwcL0k7s8PI8sTBXImyq2H+IFQglblmXRFBmKwkmM6JdJEhi6MQMnIm+qOG5EKkkoqszCTEG4dIybwufr+exzfOkRjdTzU4UsHq8UhWPXk/JZ4pRLy1WMcaHX0JWssfNpSdOUG0fi1Rvrnc/0PBMmfBm0+y7bzRFDJ2K7OaIz9JBlCUmSaPU8dpo2/VHAyA2ZreeyM/63Xp1DliUUSZyvmz2HoR3SGfj4YZwNaMRJShynuH7M0A5YmhEDIrIksTRTZGlGxKWHe6SiKNkAB9y/d29t9ugORf6gYGmY473VUBW++dLsI9+jqsrZAMfhc6apOPf2hgHtvsfG/ujU359r3F+jCjmNcv5+Y/f8VF40ZSgy5YJOwdKya7691aMz8BnaATfWu8cKlkddm84tVrJYwdIVakUTL4jwgohGxcI4FK5QJDp9oczXGXj8T3+zxq3NHs2uy/s3DtjcP14w/qL4os55AJdXqsfORBeXK1/Yc094PJ4f0e6Lhqm9tsOdjT69gcfQCZEkUfwvFUzOLZaplQz6Togk/GrYbtrHCj+3N4Ui7vW1Dp+udZAk6A6F+rQfRtTLoqngGy/NUs7pGJqCpSvUyyZxnDJVMQnChP2Og6rIXFyusTJ3P446HEpKkoQfXTtA0xQxxNV1qRaEG87Hd9rstx0+Xe/w8d0Wl1aqWTyZszReOT/NwlQBTRNK742KxfJcifNLlex1Lq9Us/VhcbqAIssossghaOr9teh5JUlSPr7b5tO1Lntthx98tMvPbh4wGAVs7A0zt8EJEyY8HYosEUYJN9a7fHK3w3ZzxE57xPrekIOec2IubeZIXtLQlBPzkiCUzE1DrD8P5vWKOZ1SXqdeNpEkkW8oFXSKOQ1JkpBliYWpQtYsOlW1MDSRL337ynQWz6iKRGfgQwq9gY/rReRMlaVpcd6abxTImRq10rhBTBIObdsH4/e5PyAMYpp9F9sVQ7aH+c2DjkMcp+y2bUZOiKEp2G5I3/a5sSHORNfudUjHQ7VhAtWSxavn77u2miec806LRxRZ4upqHUURPy8XdC4uVe4P4klkqpMnPcfQCbi302cwCtjvOGw9Ip76rAMcAC+dbRy7xqdxiHwReNJ48lDQDSBnqlSONCkecvhdfxyVwv2cwaPycVfO1LJ/m2JOP1ENX5Ikwihm5ITsdx0cX7iB90cBfpAwW7XG9UkFL4jRFIW+HVAtmxRyWpa3n2vk2T4YcW2tzQe3mnxyp8171w8AhEqqrlDIaZlY3PxUnrylYegKM1WLgqVl54ScqaKqMqW8TqVokDdVLFOlXhLrAym8f+OAZtfl1mYPy5Cz/IapCzXW/bbD7e0e1+622WvZoon9CeqJh+fFCT/fHL2vb2526Q5EzuvP39sWLk9BjKEr4vyuqyxOFwgiMdw9U8ux0xxx0HHw/BhZlnD9kKEdMnJC2n2PG2sdbqx3KeTFHidJErqm8Auvzo/3k4D+0OfPfrJJZ+Blrn+KImMYKlGSMHIjbDfM1oxa2WB5rkQxpyNLsDL+/1rJoj/ufxjYIUjw8tk6ubHLoHAN0U91xdRUmaEtfn/khNnZv5jTqY5FEqUj+1GtZGAdWZ8mg9UTniWedJ89un8Wctqx/VNTFaYfqE2fxGmx1epcmTQVQwSNkkmtaOIHItd4KJJy+Lt7bYfdlo3jRULAUALPD/GDGNePqZXvxxLlgk6SJIRhiutFohapK2iKjKJIXF2tIcsSmiJjGeqx330Qxwu5s91n5AjhiNl6PhsYM3WF+XqBZtfNeg0+ut3K1skb651jgoyHnBYv3dvp0+qJ57q92Ts2cJokCfd2+vRHAc2ey48+3uWHH++x13b48HaL21u9LH9rGSqXlqtZfaVaMsiZGrquoCgK5YKRidCKNSv/yOsSj3uy78tMLZd9XwxNoVE5/bOdMOFpOTwnw/H99nni9RME4Z+3AQ4Qbu5uIET8mh0HXXv+zgy2E+L6MXGcMnRC0QTznPJ56zovhBThf/Pf/Df8yZ/8Ca1Wi3/wD/4BuVyOP/7jP+Yf/+N/zO/93u/xG7/xG2iaxr/4F/8CVX0h3vJj2WmKYuhc4/lbLD8v331zkT9+d4Pvf7DD//HvvvJCFIAm/Hximipn5kskibD9vbxSQZJlTF1BVWQ2D0YcdB2h1AdYpka1aJA3NdwgwnEjvvf2MnudEUvTRfKWntnmhVFClKRUCgZn5ktoqsLL5xr4QcROy0ZXFXRNYXG6QJIIlakwTo5ZVx3+zp2tHsWCym7LIacrhGGKMi54/M4vnSMIIxRJppDX2e84zNXz1IpCDSdnalxerdEfBVQLOrp+f42+tFplbjpPEETUSiayLNO3fUZOQJyk5EyVoRNSyut8cq+D7YacmS8zU8tRzOm8dqFBECZYhsorZxt0hx6WoVLIHVfk/Lw8qHzgB9Gxaf4n4ejnmiQpQZg8s2tXnKTHpqn9MD5VDX3C0yHLMr/+jWXa/S/nu3pIs+vieCGVokF5rGJ1Zr40nm5WHjtEVCro/IPfeZmD9oi13eG4KStFUxUuLlcp5fWsSPrqhQZeEGPpilCYOwHHDVnf6+P6MTPVHF4QMRgFx+91OzjRoSaf01mdU7ix3hXPP3YoWNvt43gRv/2Lq3h+RDkv1pedsaX7IX4Q8/L5BvNTeYZOQM7U2DoYsdseISFx0HUoFwz8IEaRxbqWpimLMwW++fIsq3PlzJ3okJW5ElNVC1mSGLkh67sD3rg4zSvn6miqQs5UCcIEUxdFJlWVkRDrsmWoyLJEkqTsdWzCKGG6mpuoh79AuONkX7VoEEYxUZSgqTKL03k0RWamnidNoVI0+dYrc7R6DqqkcGahyJn5mHJRZzAMCOOI9Z0hSSqGmeQ4oZTTAdEk2ey5JInYZ6eqllCuO0I5b/Af/eJZoiQhZ2hoqoyufTn7zvLsfXeZJ/0um4bKq+cb+EGM+Yj14yRURebq2boYZNGUR1oKT3j+WJkrUS+buH5EtWg+l4MoDyIGsES8W3xg7xfFypTbWz029of0RwE5Q2FptkgQJkRRwp3tHn3bJ45FwlTXJNpdl6macNuplU3OzVf4xksS/aFLuWBSsHSWZ4U7xaMc4KaqFqWCThyLPerLbhooFwx+92+dpTsKKBf0h/bYJyVJ0mNqQIeN7V9kY/SECZ8VP4iZruWIogRVlfG8+2dBP4zRVImRG5EvGHzvtWXyloplaCzNFAmjRFhLxwnXjwzT66rCN1+eww9iZEko8Bm6iirLlAo6q3MlXF80eY+ckJ22TcHSyVsaO80RYZwwU83hhzG9oY9lqnhHzqg5U+Pv/9YlenbIVNWiYD35OeXw7JGkKeVxY5ckSchIXLvXZmAHrMwWj+Uvq0WT1y5MHYuPD6mXLQo5nShKsuc6xPFEw3ySpJSLBkEYZ+eS+akCtdL9PEQcJ7hBjKZIRHF6ZOha56VzdcIoQSbl47v3h8AGoyBrxALojXyWnvGGwEYlx3/83bMn5lwmfPn4YYwsyWPHjJShHaJrQgjl1fNT1MuG+HMUI0sSjieaBCUp5aAr4oO8qZEkKX4YZ3tbHKdZ828hp9MoC2EFELWAf/SfvcZO06ZoKnhxyubeAFMXz4MkzumqIvPdN5fY3B8wsAPqZYs0TQmihCCImarkKOV0/DDiP//Vi6zvD9k6GDfapmSx2P/qu+fEeb1ooqsyL52tszxbIo4TCjnhDPytl+dYninS7rvUyxZxkoqrlcSQqCKLeKg/8nn5bOO5ju/iJMHzI9KxDKoYsLufYzm6tk6YMOHpCCORg3b9EFWRKeb0sXqxdeK5P2dqD+UlH8yJgnAYKxV0ZElicbqYxQ5w6IZcZWmmKNy6Uhg4Phv7Q6YqFjlTY66Rp1o0shjjkG+/ssDFpSqOF3Fro8tu20FG4uxihXPzJd68PIMkCWcxY5yPOb8klMj3uw4f3mriuOK95gwR1y3MFKnkdZIUNg+GGLqMoankrQKL04XMRYAULFNlpprLBKdMQ+O3vjmDqiu8c3n22BDv07I4U+R3f+kstnv/XL40XSBNU4zxAOFpHLqfHeIGX866uDBVeOgaJzxMuWAcq6N9nhqPogiHF9eP0DX51PrWbD3P7/7SeWz3fvxwErqmEMUxMhKlojkWpkh449IU1aLJW5en+dmtJrIkFMM1RaaYM/iNb63SH3rkLZ1mTww7HdbfDh07NEXm8mqVnKmiqQpxnDBdL6IrKu2+h+NHFMKIUsHg9bKJpsgUcnqWV7i4LO7tVy9MkSQpmipzY+O42JmqqPwXv/uyaDStWmw2bYLQz2prQZSQQziR5J+ynjhhwqE7Zpym4xxBiqpKXFiqcWa+THfkEsew0xoiSxJ5U2frYMhcPU8hp2FoCq4foaoKI1eoxCeI+u9wFHBmvowsw+psmbMLZX786T4Aey2b29s9VEViYbpIrWRx9UydkeOztlwbCz0K59CXztboDHzhJINEKa9j6CqWIe6z5ZlidmZXZIlLy3VUVcH1Q1bny5Ryos4YRjF7bVHbmK3n0VSZIBTq+JWCLkQwDXEPHe7bztjh47DeoSgyLz3B+jRhwrPM4/bP1bmSEGuVpEyI5Un5zW+tMN8QecErZ+pijfCKqKpEKW8ydAI6Aw9LVx9y0CrmdF6/MIUfxZTyBv4RBfUohssrNXZbNqauMlPPocgSa7t9lmaKTNfyVEsWQRhjGuojc/deEB9zfsuZGv+H332Zva7LVNVic2/E0AnED1MxOHzYZxHHKSNXDKKp4zrso17raO9PmjKuU4rPdOSEVIsmhVyCIsnsd473Hbh+zGsXpo69p1rZzOq1R1FkiSurNVw/+kw1Ws+P2O86WW3ZdkO6Aw/LVJmu5njtwpQ4Cz3ms50w4Wk5bb99nuiMAso5lb4j1rRyTmU0CigUvpz+rC8LVZHRFAiTlJyu0Bn4LM183Vf1lEhyJkKkqhID5+lFs18UXojKzT/9p/+Uf/pP/+lDf99oNPjX//pffw1X9PWSpmnWpPhlKOo+67x8rkG9bNLue/zk0wN+4ZW5r/uSJkz4TExVLHZb4qCTtzTylp4lUb0gotkVyvWdoYckQcHS2FYUVuZKyJKUTVcvTZd4+VydoRPSGwnFp2JeRwKSFBRZZmmmSJIkfLrWyez04iSlYGnZAUdMaR9XrFJkicurNRwvIiyL9adaNoT603gdCqOYNCWzFw6jmMUjqsmmrmLWTt6OSjkdjjSz5U2Vvh1k11ct6Pz0+gE3xg0s93b6/PYvrFIpmmiqkiViZFk6UcX7i6BethiMr0kbK/E8LY2KlX1eOVN9phu2NVWmUjSygaBa2ZwMcHyByPLJivNfFHttWyhjAPtdh6urNRpli8EoEEH+E36HLV1hZa5MkorGLBCW4tWicayRSlVkCtaji2S7bZu728Llp9VzefPKNNaRez0lpVo8+ZoaZYtWz+Wls1X2OiMkWSIIxBqz27IZ2EGmKAriXjtcB1VFpjxWiauVLfI5nY9ut0iSlHbPYzAeHPGDGF2TWZ4rZram1aLB+YXqqQXAnKlx0HUy96L9jsPl1Vr22R6uTfkjn83RA+7a7oBWT3yu7Z7HK+cbk0b0F4SpirjftpqjrKGn2fOQJbE3NyoWlaIhVKhGPoNRSBB6TNdFU0I5b1DJm/hByN3tIX4QEUaiiatv+8xP5UnSlO2DUbY2J2nK5eUa736yjx/ESBJcXq1RLX11yiufZV9TFRn1MevHaSjjYtGEF5NCTv/SBh2/arabI7YPhADDQcfhpbP1h5L5pZwOkoQ2HvpDEg3HQRiPHyuhKQopCQoSQZgwdELW920WZwqkSFimwzdfmqUzfu5K0Xhi1TlDU+ArTMLqusrMKWeDJ0VRHohXS+akUDHhmWF1vixU2TQFRZFYnb+vnJcmKXtthyQF240wNYWLy/cVoDRVxOtxkmKZKu74jL06X8LzRUFRkUGS5EyJslGxsnXT9SNubHRFA+IoYGNvkDUqbh2MRB5hfK/IsihUgijIVkoW1fLTnVMOOg5ruyIejpMUy7i/lsRJkqng3tnq8ZvfWqFRuf/8uqacWgAyNCVrdjyK4wkFUYAwTtAeGAI9WsRWjpxTMuVohCre4fOnaUoxp2dF4EurVfF+UuE28rwoOj8q5zLhy6UwVnIu5XX6dkBhSicMY4o5HUNXqJUtbm32IIW9js3A9tnviEGk1fkS67sDrp6pIx8p+h8WR9M0JUpSojil2fMygRfxujoXl8fNCknKyBbNi7IssThdyO77IIyz17PdIX4QszJXYraeY6/tYOgqZxcrVEomjh9RzOkM7ABdU5iu5rJ79OjQpSRJD+UUojhhr+MQRQlbByMcP0KWJFo9Fz8I+fGnB9TLFoosMXJCvvP6wpf8L/PlIRRQLQ46Dn4YM1XNZZ+HLEvH1psJEyY8HaaukreEUMV+x8EyRA79zFzp1N85mpc8Gpfsdx2urNZQZIkb650s5jE04VZ6FEm6n1+4t9PP8qCtnsur5xtoqnJqo9xhbBNECQc9lzhOKeY0rpypnZqzcP2Iv3pvi53WiL2xe3rJ0lldKZOS4kcJErBzYKMpYmBitp5nuprL4qByUWdlrsSdzR5xkmC7EtO1HLmczqWV2uca4DgkZ+rkxs7xUZzw6Xo3a06P4vSY4/pRygUdVZWzx57mkPJFcPQaJ5zO0Tra50V+wnxczlQf6/R5d3tAs+uRJCk922NlpkQhr1MpmDQqFrIshkbWtgc44yGNlbkS+hFH33rJ5KDjMF3N0ep5FHOaaDbTFKHk3XNp9Vw0ZXzG0lURpyhi6HxptkAcp6zOlaiWjOysdHRdOGR5psgnd9viuy2JM1rB0rMB+EYloTfyKeZ0/CAmb2qfuZ44YcJhXUyRJGbq9x2tqyWDlJTeQJxhJaTMBa9aNDPBo3pF1HU7Aw95rOpeyGmM3BDbDWj1PExDxfEiDF2mXjK5dq/D9Y0uYZhwc7OHrAiX+kJOI2cqVI/EuWfmy3SHflb3liTRgH64X5YLOrqmII9riY2Kxa2tHsNxTXBzd8gr54VC9vW1bjaIdVjvO4wJDqkfUZg/6f6EJ1+fJkx4lnnc/vlgXeFJsf0I09AwDY2hHTK1YGWxQSGncn3tfrxcKepIksgZHjZy39zoYaGRszRmqvdjO12TafU8ojhl5Ibc2+lza6NHmsK9nQEpKd9+ZeGJ6t/FnI6uyQTjIZFG2cKydM6M99l6xczyd7omszRbpDsQtYG8pXFnq0cUiTdheyEXlk53AK9XTLbGDsKmoRwTb52uWhTzOqNxk/HbV6Z5/2aTKE6RJeFyepi/PeRRQlWfdW2K44Rra50spm73PTEcnR7+PGWukX9sj8aECZ+V0/bb54XZWgE/TDgsG4ZJ+twNcIDowXR9sQ707IDGU9ZvngXevjLN5sEQRRGD+Y9zgX+RmVRwXkD6owDHi5AkTrUrfZFRZIlfemOR/8+f3+bP39ucDHFMeG5ZmilSzOnESUKleLxR3vEiVEVmZa5IEMVCCR8YugF7HZtCTuPV81Noiky5oKOpCrWSwktn6thuQLvvkaRQL5vkLY2CpbG+N6DZdZFI0cYDGyuzJc4slCAFQz9ZqffqmTqqItEeeMzV85TzBnsdm6EdkqYpza5Lkoqhst7Qo913KVjaQ9bMd7f7+GHEufnyqeqQs40Cr8ZCgbBRsWgPPD683SKMYgqWThyntPruibbPD+J4Aet7Q3KGxsojij2PY6pqEUYxAztgaabwmRLeSzNFSnmdKE6oFIxnfiji/GKF3shHgkkB+msmSRLu7vSJIzizWH6szfzo6ORyCiM3zCxHvSDO1ovT6A48wjhBluGg41IrmVxYrpAkKdWi+ZBCt+2G2G44TuQeP8h5QcS9nT67bZupikkUC8Xg/tBnviEKJEEUUy4Y7LVdplKJKE6I4oS8oWJ7EdNVi2rR4NximdcvTfPJnTZIKUvT5ez1kyQlimLu7QxRVLi8UiUIE0p5/VhjmDN+LIimMUMTrhlT1RxBmPCtl+eYq+cJo5hS0eDmZpd62cosnR1PWE8fvtfRA1PiIyd44qLMYbIaRCHUCyI09fk7OE54mHrZwvNjtg6GVEsGvWHAbD1HrWxSyum8c3UWWYLu0KMxdhswNJlWxyFMEvKWCkjoqsZMPcdg4BOlKbWSxWsXpqmXxQDI9sEQRZEpFwxqZZPzixX+/m9f4fZWn6mqxepciXbfJU0Zu1092/vOhAkvKpk6FKLwYbvRsf2yP/JpdV0uLFVEzBnGFCwN2w/ZOXAghQtLZWwvIo0TWgOXJJXwohhZFirXlqESBDG1kkGappTyBtPjYkqSpLT7HrIs1oIv22njq+TCUoXueIijOolXJzxDzNRy/O1vn6HZc5mqWMeGKiVZol4y6Yx8ZqsWXniyQ54iS1xdrdEbCQW5csFg+2DI0AlZmikgSRIb+0MKlnZsYMt2w6zoCsK5q2hpxElKGIsztaIfNlWIJqUoTjkzX8b1I0ZOSN7SsAyV7tB7bBwxOLLGKbLEOy/NEQQRmqpwY6PDQUc0QR66iB0d4jhKEMb0Rj6GplAuGHSHHmGUUC2ax4qiBUvPVDkbJUsMcozj/TiOef9mkzhKefXSNNaR5sXT1gtJEsXo7tBDliWqRZNLy1W6Q5/ZRn7sgnbk/dqBcAEsGicOmUz4+UNRhDNFf+RzebWWuS4ikYmfpEmKJEm4fkTO0CgVhLpkOW9wd7tPEqcUcjpzdYv+yGd1vsTKTJG9jkOjIhQrLUPLnHp6Qx9DV7L8nSJLXDlT46Dr4HoRhZxOf+TjBzFJktAdiO+3rsqs7w+Yqlp87+0l1naHSBKszIphpfmpAt+1NFp9l6KlZyIve22bzsBjumrRG/okKZydLx8TPPCC+Jij69AOsnVj5EaEUYIfxKRpyuZ4uPV542g+4NJyjXrZZGiH1MuiWc7xIgo57TO7jE2YMEE0OF1erTFbz3F5pUYQJUxVTKolsR7FSUrnEWebo3EJqciRCnfh+389dALmuB87Pbi3H57f0jSlOwjY3B+xOld6oG4TctBxkCSJmVoO01CZreV4/cIUcZKyPFt6ZH7woOty0HcZOSGVgkEpr/ONl2Z55VyDvbbN7c0+OUsljBPCMGFppoiuKpxdKON4IbYXMlPNs74z5OJKDVURjWOFnD5u/Ht0o83IEfXl3tAjTkUc+Li168F1fnT0s34AXVN4+WydgR1g6soLI9Aw4fPRH/n4YUy1aGS1CUlKkSWJqYoJErxzdZqLSzU0TaFaMgmjhIEd8PZLM+w0bQqWxnQ1x8AWOXjXj3C8iLl6nmJOp1E26A1DlucK9EchcZzy/o190hRcL0JRZdoDF0NX8byIkR1iGgrnF0pC3bx2ekOUH8b4QczfemMB2wmpFo2HhLpqJTNzAhDuiTy2FnMSjhexvtfHMlRW58qP/4UJLyRn5kuZC1SlYGSCaNWiOEMcUrB0TENBVxUur1aRJYmhI5wyd5sjXr/UoJTXKFgmkgQ//GiXkSuGtpMkJYoT7u0OODdfom+LwfFSxSIFFFkIzzieqKu9fKHB1t6QYk7n1QtTfHpPuFrGccLIDbm52WW2Ltyrju0FhkrB0ri73WfoBCSJEFMIQuFi7x5xsjus9x3GBL2hhyLLFHJCVE1T5K9UuGrChBeFgqlRzGskCUzVLM4uVvD8CEWWCaKY3vBobCeEU3daI87Olpmt51mYLuJ6IYszxWM9Pn4QUy+bbOwPsQyF/iggisTaoigSW/sjdudGdIc+C1MFkfMb9yEIN124t9VHUUWeYWW2xPW1DtWy8dC+PF3NYRkq/pFeh+5QDIMamsLHd9oMHZGLOEmgceSGOG5IMa8z3yiQNzWiOBH50SMiMbqu8qvvLPPpvTYFS+Pq2QYvn5tibXfAXCPH0sxn7zl6Gh6Mv5s9F0OTsb0oO7ccPddMmDDhOK2+Q7Wo0+x5gEQ5p+E4Ibnc8zWYUsrpaJpMHCfUywatvpM5jj8v/Po3VwlDIQzxy2/Oc3Gl9vhfekH5SrPGP/7xj5/q8e+8886XdCUvNjstUexoVKzn0rboi+CX3xRDHD++ts/IDY9Nx06Y8DxxWoN83tKQZQlNVZiqWKSkrO0MGTkBvYFHtWxRLZicWywfSwLmLY13P9ljuynWiXrZ4re/vcq9nT47ByM+vdcmRSggFSx9XPR9dNPTXtumNwxQJJnuwGdhqkg5iBjaITtjJXxI+ei2Q2fgU8rr9EZ+5pgB8IMPd7LE0u3NHr/9C2dOPECV8jr1sijMuH7IX32wTbvv0eq7LE0XaFQspk5p/DiKF0T84Q/WM4WezsDjjUvTj/29kzjoOGyNi8w3Nnq8fLb+mdbekwZknlVkWaI2SYQ9E/zgw91MRe72Vpff/vZqpqxzEqW8TmcgVNmQhHIFHKqaP/q11vcG7LcdRk7Ah7dbwoVFkvj2q/OcXXi4YNAf+cJGPBVKO1fP1LOJ/CBK+KO/WWfoBOy1HJIkYWG6iKKI5E9v6NOoWIRRwvbBCENT+HS9g6EJdbv9jsPSdAFJlriwWKFetqiXLS6v1Pn4TgtnrEpcyGlAyv/87kamxr06VzpR2TNvaSiKlA2PBFGM40Xsd2x0VfgOrowb3//nH60L1yIJvvPaPPWylSmRHLoclPJ65qbB2GXhSSkV9EzZT1XlZ9qdZ8LTcdB12G6OSBLoHFGBma3lWZguoMgSH99p0R14NHsejicaJj+518YPE/wgRFdVZBn8IEGShBJM3lIpFzTubvVp9V0+udvGNFSma7mswapWtvjGeA+9tdnNVGhaPZfLqz+/B+IJE75OSnmdwUgUQWRZongkQXioFBvFCbttm8WpIpoqk7dUbm502WoOhRW4ExJEMVGcYLsBcQIijJboGi66qhDFCT/+ZJ9qycTxIhplE0WRuLHezRqRuiWf80uVr/5D+JKQpEm8OuHZpVoyT2wssL2Ae7sDUmBg+3znjdPV6BVFzs7G+x2H7aZQuLy21hGum4lw21BkOVOULozzCIeDy0Dm5KsqYkjhkP4oyB734a0mSZqKJkdJqFrfV3pzuXRKYr2U1+n07589aiUzy8/1Rn42xCFJMFs7ubAYRgmf3G0Tjl/vqOrerm7z8tl6Vkxd2x1kZ6ORG/LOEdWm//ef3mZ9/LNP1jr87//2ZRTlsEHs9PVClqXscwaYquZOdE486sKnHsi8fO6z5QUmvHioR+7VQ66vdxiMAtwgojvwmG8UyJkahioTJSl+ELPdHNLqeVy726ZcNIjjBMsQis29oc/rF6cJwgGmriJJYBnKsXtlebaYDXElScpeyyGKE25v9ZAkiXJeZ2N/iBfEBGGM60eszpX45G6by6u1E8/45YJxLHd1b6fPX3+4A6nIF0xXclimyr2dPr/5rdXscZYuFH8Pr62UF07DzcClYOmoikR3KNYKU1dpdl2mql+eMvsXzcAOMiV/SYIrqzWmq3mmjwh7flZF1AkTJhxHGe/LD66raZpyfa2D7QpBlX4leGgdezAuKeZ1ZIlMSfjwMYc0uy73dkS9Qj2QeelcnVLewPMddlu2GL4zVcIozmKhkRPw40/3hduiJJT5zy2UszhN1HMeLcDT7Njc2+rjeBGKLDHXyHN+sSIay7yIIIrxBpEQ7sgbWIZKqaDzs5tNPrnbJkkS/uTdTRbGzktLMwW+++bSE32+nYHH7c0etza7bDdtpisWn651+TvfXj1VdAvAfGidf3SdQz/B8X3Czy+7LZvNfeEcvqPJvHyugarItAc+zZ6L60dYhoqqKvTsgIvLVaE+fa+N7Yas7w0omBr33JBqyaRWMpmt5zjouthuyNbBEF1TuLfTp1G26Aw9XjlXx/GEeJTjR1iWSpyIuujIi2h2HWwnIk4ShnbAr31z9VTRiyCM+eROO3NCXJ0vneq0nre0z6VYHAQRf/jDNZzxWtfqubx95edXqfbnGUmSjuUUjp5nS3kjc2YaOgGuL+pLthdyeaXKQdfhxnqHezsDSjmdRtXiV94s86c/2aI39OkMPcIoplwwCcKYezt91nYG7Hfscc+NTs5QmaqarO8Nsd0QWRGib0GYsDxTYG13QLmg0xt5bOwP6Q19tg9GzNTzzDVyvHyu8dBeYLth5tzh+BGaKqMoMjlTzep9h70RcD8miJOUT+628HwhgjHXyLP0nLhmTpjwrGC7IUNb7C3NroupKeTHZ1jHC4/Fy7YT8O5aR+QBdgf8+jeWWZg6uWFYlSU+utPG8cRz10sGA8cnSQBJ5Pz+5MebAHx4u8Ur5+rYrrjfd1sjtvZHmejKrc0eIyfED2LYhjBKeeVc49jrFXM6xSNb8GGeMwxjdtuj7LkfzNf1hj43N0U/gyxLXD1TO7VvJ46TcU+TxMiN2G6OWJgqPHLY88vA1JVjOdJq0eD6ekf0LgDTtUmsPWHCo2iUczT7PuIIm9Ie+M/dAAeI/nBnvLbttJxj9Z3nhfdvHPDR3TYAf/7eNvNTReYaz9cgyhfFV9oR9vf+3t/LDrlpmj5W5fHTTz/9Ki7rhWNnnBCcb/z8TlaemS+xPFtkY2/IDz7c4Te+ufJ1X9KECV8ohqZw9UyNdt9jda5IECWkKfSHPkM3zBp+OwPvWFFjMPK4vt4hZ2jIsjgAdQcu7b6Yaj9s7KqVTMwHbLW9IKLd96gWzWNWjYfJIBCHrZETMN8ooMoyzZ7LmfkSaZLyo2t7WLpQ/HDckJubPb5xdRbHC7h2t42qyKiqTH8U0Lf9h4oxIAofpq4ShDH7HRtSiflGHl2VyZkav/6N5YcOVWmaiiSSLGVF02bXzQY44iTh5maXV86L5PCTMnJDZImsIf6w6D2w/VMVRCdM+Ly4fkQUJxQsDUmS2DwYZj/rDn0GdvBIJ5rpWg5FkXC8iErReKKiQZykOF7IftsGJNoDFy+IsL2QnK6yvjvg7EKZKE5wvAjLUOgNfTb2h5ltZ5oKZ4HD1+sOvKxpdK6RZ+T4XFqpsjJbRJYlpqsWpqFy0HFIp/KoiszQCQg0hSRN8fyIIIwxdJX2wDuWsL68WmO/4yABtZLBTtPObKGB7DNLkoT9joOpq1RLQh3zyqpYVx0/xPdj4iSllNcJogTTEMmqmxtdoigRcew4SSVLEp4fZYOj3YHH8qxQ4rPdkHLByAZmnoTVuRKWoRJGCVNV66nWJri/Pk0aRZ49DveMhek8vWHAVNWiUTbJWzpTVYvu0MP1xH2eM1Xa/ZRSXmWvDXEUk8QpXdejnNcwDRVTV1icLnDlTJ1ayeTa3Q6uH2EaKkmSUCua42HK+yRJmg1wgGg6CqPkiSyLnzVGY+Wc5+G7friWaqo8UeCdkDHfKKCrCq4/jr+PDO0drheqIrPQKJC3VIo5nTCMSVOJSkHHdsV+7PohSZIQxykpICsqpiZhGhq1smhiGDqiocEPYuzxfn3UCaQz9J4oTzPh2cELhHp53tQmjkovCCMnolo28fyIgqnS7rnc2eph6AqL06c3IXSOnMlHdkicJFnzXLvvZkMcpqFybrHCvZ0e1ZKJqkhst0YEYcJMNcfKTJGBE1IpGlkjFcB+1xEudqpCEqdstYfZ0EV/JBSqg0jELkfj1ulqDlWRsV3xnDlDYa9to6kyr12YwjJU+iOf5dkS5YLB0AnQFPnYWjhygqwhEGB9b5i5Dh+uZ4cNl8LFTydJwDI0Rm6AoYu8wsbeIHuOZteh3fcwDeEq8jQxUBDGeEFM3lSPKfFlg/IIJ72BHUyaEyecSBQn2QCnpaukRYN6xWS6ZqGpCkEY0x143NzoYugyrh8zsgPaA4+ZWo5iTme/4xDHCdWigarKTFUs/DCmb49j/FQMgx4Ocey1bWw3wNBVRo5owMgZKkMnoFY0GSHOCFMVS5zdB94jz6+9gUdn6HF9vQ2p+N3+SCiqW6YYwvCCKIt5FUXm6tk6Bx0HTZWZrubGgyfizFsvm7x/8wBDE2ebzuD5GOJI05ShHXBnu0cQxmiqMs59+BNl+QkTvmL8MM4GOEDsyw8OcTwYlxwOll5ZrdEd+uRMNatHxEnK1sEwy5Ucrt0rs0UMTRk7iIl8XX8UEMcJiiLTHfr33XXH68GNjS4g1kJLF7HPaWItQRixsT+kUjDIGSpxkmIZCvWyxadrHYIooVG28KOYM/MlcoaGZapMV3P81c+2GDoBqgx9O0DvuZTzeiY+dZTuwMMLImZquWNiQIcxZavnkqYpXhihurJwYH9EE4WqyFw5U6PZdbN1fsKEJ6Xdd7P/Hzkhey2bhekC5bxOUDFp9z1KeQM/EI5jUZzQ6jr0hj4jN8D3YzxfuP0NnYBKweD6epeCqTF0AuI4Za05IIwS+iMfSRJnmKWZIsWcSncYjBvWdVRV4aBts3swZKZmoWsqcZrSHXjUTqhXgsirHg5wAGOHss93D7R6DnFC5gB+SLPvZQMcAFsHI96+8rleasILyFTVIkkTOgMfWZYIghjHCzF1lY29Ie2ey73dPkGU4HghA1vh/ZtNgiimUjTQVBlZgnNLVfbbNv2Rz8ANURWZoqVTzOtUijrKeP8Y2D4gicZqwB4PQi2Ohwk1VSaf08YuWAFBaDJ0gmNNhnGckCKELWVZolIwCMd769F630lN0q4XZgMcIPayyRDHhAlPR97SMHWFKBZ5AT8I2W27WT7y4nKV3ZZNKa+LAYZx7T+OUzb3R6f2xfTsgLyp4AUhuqqgajJvX55h62DIVMVClqVs6CCKEm5udFmYEvdvfxiw33XQx2K1dzZ7x/ofNveHXF6pZcOej8rthXEyFoF1UBVZxNlxguML14ru0CMau5sauuhxOK3mOHLDbL0DseacNsRyGl9EXVNRZK6cuZ9nAbEej9wIQ5OzNXrChAkns77XQ+K+0FWapvT6HpXy8zYEkaIoQrRL12Rub3VZnv1qHIG+KG6Me6+CKMHUZW5udCdDHF8F/+bf/Jvs/23b5p//83/OmTNn+Dt/5+/QaDRotVr8wR/8Affu3eO/+q/+q6/y0l4oDhX2558yWHiRkCSJX35zkX/zP33K//LuxmSIY8ILSc7UsuA+SVIOui7FnEjM6+MBjKPB/3ZzxF++v8V2c0Q6tlhVFJmbGz2SFDRVKCZViga1snnsd/sjnz/60TpBIOxLf/0by1lRI2eq94skElnDxXQtx+JUAdeP2NwfkqZC5VOWHdJUKFj+5NM9bm/12ToYEUQx5xbK5HP6qY3lhzbkh1xfE0WQRsXipbP1hw6JaZpya7OXKfAfKhGW8jqSJBowWj2Pasngo9strp6tYzyBWuadrd6x4ZXu0BOq+ZJIMtXL1qQBbsIXzqEiNwinhkvLVYo5Pft+66pC7gkcG4Ri3ZO9ZhwnXFvr4HoR202bSsHA1FT6dkAKDOWAc0sVvCDi2r1OlmQJowQ/jMmZKpfHanRH15RiTs1cLwDOLlZ46/IMn651sN0hSHBuocyZhTLX7onGEENT0Mf/HbU7ffA9q4rMwlQBxwv55F4Hz4/o9D0qRdGoVsrpJEnCH7+7kd23b12e5spqPVtXvSDKmtxlWcLQlUwVrNXz6Ax86uNDXKVoEoYJ717bJ4oTVEVmdtwoVxurfz0tkiRlDTdPy93tfuYAMlEdevawDDVTxa5XTC6v1o45ximKzPs3D2j1PPa7DoaqoCoQhOLw2ndCSKE98KmWJKYqFu9cmcU0VFo9j+7Qx/VjFFmiYApFxsoDw42H3+nDRKOmyqjK87dn3d7sZQ2TizMF5p/hA/3RtVSS4PxiZWLtPiHjtCZfy1CzISxZlvD8GNdzeO9Gk7s7PTw/IiHFdkIcNyKBTAE6iRMCSSZNUgqmRs5Us2HGwzVAkeVjaqmWrk7i1+eIzsDj9lYPUlFou7xaQ5kMcjz3FCyNOEpQZBk/SvjgTpv3b7YAePvKNL/6zsm5LctUs6EsTZPR0vuFuqNNgkEQ8ZfviQY/SYKCpWe/d9B1MHWFJBUFyfTQdgPIm1o2sCDL0jF15SRNxTkgTlBVmaurtWNDGIfxcJIk/OlPtthrC+GZ1y40eOX8lHiOJL3vDCSJgebDxidDV8RljGsqlcL9xmhZlo6JT5TzRuYQoqrysbxCKW/QH4n4XlUk1naGmavI5dXqExVOh07AjfUuSZIKYY2ztcz59DDGA/GxTZz0JpyGIkvH1BJzhkpv6BPHqbiHztSEO+XIpzf06dsBTpQIJenmiGrBJE4S/uwnGyDJrMwWmanl2G6OWN8d0uw6FHIaS9NFzi5W2G/bbDVHbO4PqY3FC2RJNBa3+x4SjIUNjCwOsIzT74cbGx3+9N1NBk5AEMaZY66m3R9UtgwF/YEGCkNTHjqbHp55R07A6EhD4vNw/6Rpyo2NLh/dbtEZeKRJyoVxjuao8M2ECRO+GjRVEU5h40bq09aRk/J0wp34fnxxeH7faY7ojnzmG3kKOR3LFOeluUaexW4hy6nompzFSZahZsq+cZzQ7Lm0e0JAq142aVQtLq1UOYk0TfnZzSb3dod0Rv54eDah3fP4H39wj6Kp0R7nQCoFg4tL1ex1b212ub3ZZ2AHmJrMcOQTJwnNrsvK3PG195O7bd6/cQAIhd5fe2c5G+SwTBUGjHOjMaoioyjSEwnTmLo6yUFO+ExYhlDZ7498DroOIM4jlaKBqshIkoQkS+iqUJy+u93noOPws5sHKLKM44c0xnl6VZZY3xuAJNHsuli6wn7HwfFCDroulYLBQdfF0FS2myMqBYO+HVDMazS3PKIoZq/jkCDhhTHloomhKxSs0+8B01CPnVc+bxzz42t73FgXdc/l2SK/9MZi9rNiXj9WUyk9hfP3hJ8fRm7I5v5IuPG1bXpDf9wonTBdzfGja3vsd2ySNKWcM4nTlHrZxA0iLF3FMjUxsNh1uL7RxXZCZEWiaOmU8io5UyNJoNlzRb1OV1BkCdsTDYSaIvHx3RYf3GrS7DlYuoppquQMDV1TxDD3EYGjMIq5drdDqyecPBanC5i6mp21D+t9p3FYLzx0ErUmsfiECU/NTnPEnW3hQGd7AXe3+1nP4TtXZ2hULDw/ZuSGD9USK8XTHdgsQ2Vzf4Q9rosZhoKppTQqOSRJomBp9Ef3RaaO1klMQ/Q8ROM9r1Y2SVLu77e6yke3W1ld/sqZ2ql7sKrItPte5sRRzod8fLeNH8TIsoSuyqztDkgS0Qx9kjPp/etSjzmTPO2+f3urlw1OL0wXnnoA5ChH8ywDO8AytCyf8zzkVSZM+DqZqZjE9+exiFOewwEO4Up0WON1/ZjFxvMnqKApMjutEUkq1uunEcZ90fhKV+5vfOMb2f//1//1f83bb7/Nv/gX/+LYY/7u3/27/JN/8k/4sz/7M37lV37lq7y8F4ZDtbylR6j0/TzwvbeX+G//8DqfrnXY2Bs8d9NmE36+SdOUKE4fmhp3vAhTl48pJIVRgqpIXF6pstO0KeZ0VFWmWjBoHFGHuTG20DszV2Zjb0ACvHG+kSlKNWq5zPq6mNePNRDf2uwSjAsTUZRwc73LL7wqnnt5tkSagOOHLEwXjh0KLq1U+eReG02TWZ0rIUnQ7nnMTRUwdJWPb7eBlKWZPPsdD1mW+JW3llBk+bFKwEszRd65Msv6Xp+CpfLahcZDj3H9KGtwBzFEMlvPUy4Y/NIbi/z1BzvM1GTOLZYJo4RWz33sYSkI42MDHIfzuXlLo5TX8YN4bKf+7KuCT3i+OLQSBhiMAvqjgO++scD7N5tEccIr5xqZtX08LloeVYf9LPRGPu7YqnimlsMLIqZqFq+eb9Af+hTyGjNVi1bPJYoSvCBm+2BIPqdTKRgMbB/TVJip5o8VSXOmzi+/ucjHd9qYusJbV2YZOgG2K5SDZUliqzni0nKVcwtl2n2PqYpJgmjyWp0r4foxpbyWKQs/iFAnTdFUhZfO1hnYwvXgzUvTHHRdMcABkMKna12urNYBoYy6MltCUUb4fsT8VAFZktgZJ6xmajnCMMYyVWbqeV45V+cn1w/ImypBmKBrMgdtm5W58kONK3D6+n5IGCUosvSZFLXDKM4GOEAork4KqM8WS9NFZEnC9SPqZfPYAAdAt++hawpeEKHIElEUkc9ZLOYN7mz30BWhC5GSoqsyZxfK1ComcZziBTEvn6tzd7vPbC3HbCPPbD13bH88jBkurVTZPhiRAgtTBdI0xfXjz9VwFEUJUZJ8JS4Tnh8dU7zebdnP9BBH3w6ytTRNYa/tTIY4JjyWxZkikgReEBMnCb2Bz8gNGTo+iiSRM1Q6Ix/TUPA8GT9M0BTR1KxpMvWyRaVkUshrXF6poWsKUZwwU8tlQ8uXxucHSRKvN+H5YbdlZwcR2w0Z2P5zaZX888phPKgq0rEz74WlMuu7fdp9n0pRo9nzQQZFgg9utU4d4hDxXorjRczVK0iSxG7bxtQVlo/c2xv7w2xoI01hr2MzW8sRJymKLOITRZFRUolywUDXFJIkZX4qz9AJ6Y98CjmNWtFkaxwbC4cvj3jcMNHsuSfGn92hnw1wAHy63s2GOGwvFCq5iXC722vb2RBHztS4sFRhr2VjmirzjSl2WzZBGDNTy2WNkgDffXOe964LBdGXzjaOxST/6a9e4E9/vEGSwPmlMslYLDcaN1iuzD7+/L7fcbLGEH+cFzjMmxyN8RoV64kcD591kiQlTk4/t0x4eg7v/UsrNTb3BgRRjKzIDEdCwdkPYvZaNvONPK9fnMYyVD683UJXJUZli74doGkyhjTe91Vo9V0294d4fkwxp9EbKqQI8YbtgyH9UYClq0xVLBwv4o2LUwTjRqmXz9bxwxhZknhlnB8s5fWHXDAOzxBhlHBve8BgvI7oqmhcnqnlODdfxA7EWfb1C1PH8paPo5DTObcozv2WoX6uJoavCteP2Nof4voReVPD8YQ71vJs8URn4QkTJny5KLLE5VVxtpFlicXpz76OHOZCGxUrW5tfu1Amb6qZA/Gl5Sqb+0OSNGXlSN2xUbF47UKDu9t9+kMfVZXZ7zrkLY00TTE0+aGGqiRJSdIUP4i4uzNgvpEnTRL2OjYz1RyNioXvR7heSLVokqQppYJOGCckqXjv19c6LE4XMuelqbqFrh4O1h2PSa6vtbP/P+iIAZOpcdw138iTpik5Q2FjfyRci8/UHnIXelxuc8KEBznt/ANigFtVZJo94SKmKBIDO+CbL89x/V6bRtmkUjao5Aym6zlub/aJkoSCpeMGIatzZTRFZmWhSH/oM7RDpms5+qOA7tBjaabA0AmQJYkoEeJ2QRSTpDI7LRtFlhiMAnRNZvNgiITE2fkSu22bqUqOX/3GIsoJ4jdRLGoYBUvL6hefN45JEiGQdcjazoA3LnoU8+KsX8rp/K3XFri+3iVnqrx5efozv9aEF5fd1ogoSpBlCT+IQE4xDRXbTejZ/tjpwiQY/+zqmTrT1dxYAEYmSVOKlsb3P9ghZ6goEsQJXF2tMtsosNMcURqLRnl+xJuXZknSNHMLlGUZuWnTs11kJIIwYXk2RzGnsThTYq6ez4QfDuvyfhgz3yjQ7rskacrl1eoTCZUcNm9fXK6y0xyiacqxffmrwgsiVFnOhOcmTHhWOTzbP7gXD90Ay1BJUiEYteM4WX373U/2+N7by4CIW6slkyurMvsdh9X5MmfmTx94cP1IxJk94dZmqAq1ssnA9skZKueWKvSHPt2Bz5kF8VxbB0OiOGGunufsQpmPbreRZXjj8gztnsunax3KeZ35RoHmuB4exQnNrsN8o5A5BR8lihMqRZ2UVKyNUZwNZCdJSrvvUi2a+EFEztKyHOdJGJrCxeUq+x0Hfewm+jgO4/0kSY+5Ke+27IfihjiOsd2YvKWgKA8LzwZRAkmS9YMcUso/f3mVCRO+ToZ2gKZJ+KG43w1VZjDwKZVOH0x7FilYKt2hqPUULI2eHX3dl/TUVIs6jYo5Psfl0Z5AdPtZ5bR99kn52sbv/vAP/5B/+S//5Yk/+53f+R1+7/d+j3/2z/7ZV3xVLwaH9rhLMz/fG3O9bPGNqzP88OM9/uhH6/zD333l676kCROeiCCM+XStgx+MVexXawRhwh+/u87QDijmdH79m0sYmsr19S62G2LoCpdXa5xZKHNzvUuz5wibqXqe6VqOC0uVrIHB0BVW5krUyya7bZsbax3SFGYbed68NE2tLJKaza6LZapcWa09lOw/qqzZ7Dr85NN9giim2XX57psLWbHWNFQuLFWJ45SD8eGpYOmU8jqqIiErEvsdl2RsDf7O1Tm6Q4/13QGaKmxSHzUpvjCd55O1Ngddl85wjV/7xvKxRg1NlY9Nwx8tLCzNFPlbbyywfcRSXHuChvfD5urD5g1DO1T9HwdEYzXPCRO+aFRVxg9j0jRluynca/KmxjtXZ4/dJ/sdRyhOAcszxc/s6ABkajcgvtcrsyVKeYPtA5tCTkeVJUBCloTKletHDN2QvKUTx6mwZHZCmjjUy+axeyMIE8oFYY8chDG6JrPbsrNhDscP+ehW6yHFqThJubHeYeSEhGFMo2Kd2DR+9H4vFwxeuziVNYNFcXJMIcvUFdI05c5Wn87AwwsjZITbx257n4IlXI6mqpZQtpgt8vrFqfvKu7qSFTT3OzY/+mSPe3vDzOHjEMcLubEunEpKBZ2LS9VsWCNNU25v9egOfJF4Xqk+1OD/OGRZPrY+TdaiZw9Zlh45WJMzVUxdpZTX6Y8CoiQliROMvI6myciqBIlEGCfYTsjd7T6XVmpEccLWwYhbG13afZe5Rp7XL03x9pVZQCQJb252GYwCNFXm0kqVc4sVAHpDj//w15s4fkStbPJr31g5cQDpUey2RvzF+9tEUcLCdIHvvrHwVI1bT4uinL6/P4s8eH3P+vVOeDZQZInl2RKuH/HuJ3ts7g+RJIQVtgSdgc/A9onilDRNSSWIEtHsraXCSS9JYKpiUS0ZzNQejgdypsb5pcpX/+YmfG4eXlee38TmzxthFHN9rYvrR1hj17rDf0/Xj9ltO7h+jB/FbO72sb04c6c4DeE854uipeIiSaIQ4XgSjYqVqRc9GDMrssTIjUhT0YS307KzRPNbl2eOKc/lTO2YK+b5cRyxsTdgbW9AGCbo+unFS8tQju3dRx0wVUVmv2PTHwVIksTF5Ur2szRNafc8hk6I68dMla1TP4ucqfOd1xdO/FmjbPGf/9olQAw6b+wNs5896b784OOODpA8LsZ73rBdcW4RhW6DC0uViVvT58TzI66vd8YOezF3tnvstR1UWUKRJQ66Lo4XkrM0Li/XeOV8g194ZZ6pSo7OwOPOVo9qySSKEz651+ag41ApmlxaqZIzhVtmKW9QL0cYulCjNcaqtDutEYNRgCxLbLdsNEUmRShmKuMz5Mps6SEhgThO7ucdNYXzS2VMXcmO0ooiszhVxNAU7u6OyFsqb1yc+kzDysIx9PkZfugMfDb3Rxx0HcoFnXrJ4uxC+XPlXyZMmPD5+KLONodx9drugLXdwVjEJcf3f7bD0Ako5XW++dIsfTsgSVJ22/ax5rW5RoG5RoFWz+Xudp/2wKOU10nTlFbP52c3m1xcrlIpGoycgBsbXTw/pt13ubPZozsUQlf5sWPatXsdoiTJcrLzjTySJHFvu8/QCce5PwlVkSlYGp2BR5SkzFZ15qcKWMbxc4Khq7j+WHJUAuNITlmSJBaniyxOF3l5PGz7IF4QcWOtix/GwhFwpfq5RYQmvNg86vwDIp5YmSux33W4vdET7gBFI3PBafX7rO0NKeQ0XjlXR5JAlWUMQ6GQUxnaAf2Rz7V7LQqWRpSKGujADoTTmSIxU8tjGRqSDGlCVhdI05S9tosfRgRhwsDxGTkhlaLJTNXil99aZL/jst9xWZktZeehezt9ml0XWZa4sFT5wuIYWZbRNeGePHJDRk7AR3e7nF8oMz1+7cWZ4kSEY8Kp7LRG3Nzo0Rt62F7I+t4QP4ioFk2CUKz9rZ747jbKJtWSldXMzsyXubBUpdlz+cv3tmj2HGw3QFNVKiWDlYUyr5xr8MldNXODURSJasng5nqPOE4p5IRA5A8/3qUz8AiihNlajsXpIpdXa5l7TJKk3Nrs0h8FuEGEjNifZut5Zuq5JxJJ3NwfstsSwjSGruD5MbIc0SiHlAtfXQPmn/10k+2DEaoq8903Fph7hoWmJvz8EkYJ19eFU7xlqFxerR7LJUuIGC9NwdRkVPV+buDBHqEwTljfH+G4IUna5/xC+aGBgkNyhkqcJCKPIIl4dTAKhGhVnBJHQoixWjKFC4YsHYurCzmdX3lbrFFJkvCTnT6dvsfIDrNhskMGdsgPP7pNEMXM1vN87+3FrEapKjKWed+lIj5Udsneo0reuh+baCcMTxylXDCeeJ3pDjzubPdJkpSpinWshv9gX1J/5PL/+KObDOyAcsHgf/cblykdcSS+udHlx9f2SFN46WydNy4dH+Z83vIqEyZ8nRiawX0fckjguRvgAHD8KHMUcbyIylcYA31R2G7ETtMmjFP8MEbi+atBHO1fMzSFS6vVzyR6+rVlVjzPo91un/izdruN53kn/mzCowmjhN2xst2LVDz8rPzmt1YB+NMfb+KH8aMfPGHCM8Ju286mvx0v4qDrcO1ei6EtlO6GTsAndzs0ey62GwJkan3tvsvQCYRyRRDTHnj0hj69oc+bl6eZrefJWRqvnG9wdqHMTssmlSTCOKXZc9lpjbh2t83QFs/rehEHHYcrq1VW50vkLI3l2SKvnLuv6v2zm0LpEmC7OWK7aR99O5TyOovTBeanCsw2crx6ocHCVIHpao6XzzWoFg0MXaVetpBIGIxtE8MoOTZgcRIf3W7hjD+D3tDPbIYP0VSFswtlTEMhP1bEOcpsPU+9LCyRp2u5h9QGT0JRZM4vVsYHOo3zS6IRtpDTMA2FcwvlY80cEyZ8UZxbKFPIafhhTCmvo6uKuE+a9++TJEnZ2BswlupnY3/4SMWIx3F4/xq6QqVosDxbJE2Fco+mypldeJqmmLoqgtLlKvmcSiqlXFquIstytpYd4ngh+x0nu+b1vQFhlGAawg2o2XOzA8fG3pDd1v332Oq5jJzx2hfGxxxKjjLXKFAb398ztRxTR2xYK0WTdy7PUshp1MsW335ljoEdZMr++y2H/Y7DyAnYadp4fsRUxcTxQkxDrCtHE1xXVuuszpUwdBk/SITlawrvXT8gOZIM2m6OMkvDwVgN7JD+KKA7EM5BUZywtX+/sexJUWQpW59ypsqFSWPuc8dUNcdrF6eoVSyqZZMzcyVypobnhZxfKJM3DMI4QVMlTFPBdiO6Q49m1yVJEw56LooiEycpf/n+dva83aF3fH89sm58fKeN44tBxE7f49bG8b30SXj/ZpNo/N3ePhix0zz5vvyi0NQH9uJxI+mzSjGnszgj1tJyQWdlbnJOm/DkbDdHWIZKpWigKjLnlyvomjJ201NIk1Qoyo+3e2ncjRBGKZYhE8cpa7uDr/MtTPgSWJ0rUSroGLrC8mzxqQc/J3x97LUd3PG+63oR+537e+btzd64aAmuG+GGQj1TkaXMQeMkNscqdSDWjM19sc/HcZq59YJo+HnpbJ2cpTFbz3FpuYqpK+iaLBTxxs6chzH+k5ACli7OBpaukqYnnz1yps43Xxbxd7Vo8J3X5rOfxYk4S+iajDluPj+kP7ofox8OrX5eZsZnf0NXaFQsZk8YcjuJxakC1ZKBoSvMNY47Db5oHP1OHeaUJnw+tpsjgjAhTlM+XeuwtiPO7QPb5872gDQVOUDbDemNfD6528bxAlbmipQLOqvzJeoVkzSF+XFuL04SqiWDhaki5xbKTNcs5qfyrM6VqJVMlmaKzDXyeH4s7nVVzs4BtZJJGCVY43PjSU6Qx/KOYcxB1+X1i9O8dLZOOa9zfqnK4kye3bZNmqaMnJA724NsjXtRSZKUndaI5dkijYpFGCWcXy4/cthuwoQJzw+lvM5M1WLrYISpK5TzOn/y7gZ9W+yFAzvgrz7YyZqvml2X0XitPEqjYjFTz3Fmvky5oKNpCvNTIuY4FN/Z2B8SxymdgUen75GzVMLx/ps3VRgrouuqQq1kEMcJcZIyVbUYjnOjUZywMJVnqmrR7nvM1fKcnS8zdAJ0TeE7ry8eu65ffHWeWtmkkNP4xtVZSg+4bDyO3Zad1VptN8wUkCdMOI1HnX+OokiSOI9oMqamsLY3IIoT7u0MhEhFnPLRnTbLs+IsfGauRDEvhp2QoW+HdEcBlq5wa6OLpsqcnS9hGSq6Js7Nl5erLM8VubJSZWWuRLlgMFWxyJkapqGiKDKGpqKrMrqusLHfz+os63sDkiRl5IaZw3eSpGx8hhz+o/hbry9QzGuEYcyVM3VUWcpee8KERyFqSiNqZRNVlVjbGZDTFbSxaIKqKGiquMcsXaVUMLi4XMHQFUoFPXOwOKz/1YomqqIiy9AomQRBwl7bETl5U8UyVS4uV9lrO9m+MBo7eC5MFaiXLcp5g5l6jsXpQjbAAaJW0R/XKixdhfH9Xy0ZLD6BerznR1ld0PUjrt3tAIf10S/2nnwUW/vDrI8hihLev9n8yl57woSn4aDrZE7xrh+x13aO/XyuUSBnaliGytnFCr/y5iLFvE69ZPK//t555qfyWZ9Ab+Ad6835dP30eqKmyiw0xFBx0dKYquayPgBDVzjoOvdr5nZAu396j+jG/jCrOwZRzFZzmOX2pqoWWweDrF9pr20f2591TfTvmIZCIafx2oUp5hr339Mbl2eO9RM0Kl9cvm9jb3j/3NBzWZjKZ3XNcw/U8H/w4R6DcT9Yf+Tzg4+2j/38p9f3M3EckTN6sXMvEyZ8mUiqjKmLIW9JFgNrYfjwuf5ZJwhjxpq7IKVst766OOiLYrM5zGpgSZqysdf/ui/pqXnS/rXH8bU5cbz11lv8q3/1r7h69SoXL17M/v7GjRv8q3/1r3jrrbe+rkt7rtltjcaK9uoLXUx8Ut64NM1U1aLZdfnrD3b43ttLX/clTZjwWB4sm0oIu6XOwMMPYwxNObExoj/yubfTEyp5XoQiSeQtscz/8bvrbB+MiOKEl89O0Rn6bO0P2G/b2K4I8G1XYqdl06hYbO4PsceTmrONHLIs853X7itatnouG3sDmj2XmxsdugMfy1AfstY+ZH5KDHE8yPregFePqDp1hz6bByMURWauljv2YThexF/9bIv+MGB+Os+3X5lDeqDILEuiAeTudo+hHVLMa5xbqJw4dZ6motm9PwrIWcJW8EmVJStFg0rx+BTr1TP1Ux49YcIXg2moXD1Tz5TcDjn6rX3wKyzxxP1Xp/Lw/ZsSJ4mw/0xS0hSiKOXGRodu38cyFd64NIOuypkS28D2+fSecPg5u1B+yCFCkoR6bbVoUi2atHpulrgRP5dodh1+8OEu3bGC3VHFKc+L+L/9wSfstUaUizrfeXUBXT8cspCyBqSjXN/s8N71g7FjT0rB0hnYgRjAkO5/lr2RT5wkaJpCKacJdZAHiiaqKvOd1xcIgoh/96e3skZaWZaOuREcXWO6Q4+P7oTUyxbnFsoP/dt91n+4k9anCc8eP/xwhz/60TpuEHFltcZ0LYepK0L1zQ4YjHyaXYfdOCYME1RZolQwmWvkMHSZgqXj+RF+GHHtbhtdU5iqmBiqgh9GDOzgkQOFthvywc0mKSm2dzwp0e67vHfjAH08KGE+whHrkAdVER7cn78MqiXzM6n8fl3MNwrMT5S4JjxAu++ysScSVGcXypla/iGb+0NurHdwvAhFESpNhbEa/tbBkDhMiI9sSWkKUZKgxDKaJjGwQ9Z2+0gyXF6pYWgKd7b7+GHMTC33sF13knJnq8fADhg6wgFQWHFXUL6C+3rCk6NrCpdXal/3ZUz4DMRxyge3mwxGAaWCzkz9vrtFHMW0+i5BKNww0iThUH9HekTPjusF/PjaPn4YUS4YVArGuElD5uIDBcF62SRFONE5XsTSjNjn+yM/a3CCJ3d0kyXpmPJ8fxTQ7B0gSUI972ijRilvsDJbQlEkjCNKRBLHVewkSRQj/TDGMhRafZf+SLjVXVqpHnv99b0B7b6HpaucXyo/kSvN4bU9CQ+u0xeWqo//JYQC6l7bQVdlzo0HT09ic3/A//jXa/hBxOuXpvnuG4snPu6rRj7pYDnhcyFJwoFyp2XT7DgM7QDXi2j1HLwwxg8jcQb2I9Z2+2zuDzENhV98bYEoTjF0lTNzJpoiY3shOVOjYGkYmsL/76/u0B36NEoWq/Mlzo7Pl9fWOgztgHJep1oy2e84eIHIAVqGysqcUJR2g5j/+3/4lDtbPYo5jd/57jkuLlaPnV/9IOL2Vo962eKtKzP8R985C8D19c4D7/PxX5cgjLm91cMLYhplk+XZr374IYxi7mz1cfyIeslk5SkGMEZuyPquaCxdmilSLRq8dn76xEGYCRMmfPkc3asPY49Dp28JiZW50ol5MscLubPdJ4wS5hv5Y/HMXEMogWeD8kfu77vbfdp9F0NTuLBSYXm6RLPrcHPdo9X3KFo6jh9wfa1Ls+eyOlfiV99ZYrfl4HgRP762T5ImBGGcnf+kcQI3GKsSo4GqKOT0w0tIMTSV5dkSF5dFLPKHf7MmBv51ld/41jK/+a1VbCfMRDoqBYPf/NbKQyrB1ZLJ3/72mcd+rkMn4N5OnzhOWZ4tZvWVB+snE6euCY/jobDylO9MSkqcinpDkqZ4vhCF6g39bMhcAuolk5lajr22zYe3miRpmr2GhDhzGLpEu+9lQ/IXliu0eg6k0Bn51EsGqqIQJ7Dfddjv2LT7HnGSUisJFzpFkXHcmP2WqMPM1HNZnNMdenQGHooic/YJzxVPymw9z+985xz//s9u8sOPd5CAV89P8faVmS/0dSY8H7R6Dn/9wS5BFHP1TJ2Xzj6mDi2BgsRsLc9GcYShK0iSjCRJ6JrC1sEA14+Zq2nUSxauH1PIabhexMd328zV86KBLknRdIXZeo6cqWIZKuu7A0ZuwMXlKsk4GRnH4p7dOhjiBzGmoWK7AdfX27THe6KuKex1HDoDD8tQOeg6bOwNaXYdMbhRFDn+w7pbksKjTvVRnHBzs8udrR55S6NS0I+vM1/htqQon+3F+iOftZ0BKSkrcyWqxeenxjHh+eRx31RDV5iqWCSp6DMMw5QwjJEQonD7HYeN/SFFS0dVRTzs+hEFS+WV88fXpd7QZ30sKFWvmMccpA77nBin1oZOwE+v7+N4EY2KdcwR+EEU+eE8ZRynxHFKFCdEScpB1yFOUnKmRqvn8t6NJnGc8MbFKW5tdfmbD/fQNZn/9HsX+P+z919BkmXpfSf4u1q4FqEjIyNFZVZVlmqFVmgATWhgCGBmOWNcjHHAXewOzXbNuGY7tHlYvO3LvswDX2Bra0MOV5DEDoc7NiSGQ5AAQaKB1qKqukRW6tDCw7X71Wofzo2bESmqMkt0Zlb736ytMysi3a+Le853vu8vnl9vFabYcZIKsXS+DnlBzO3dEWGcstQqsdT+CImb97z5jYr50MSee0skWb6XS3Gci3r/4z5JfNCMa4YZnlYEUcyxF2sQPpuiqCi5OyOO4wz1AWvl0w4pk0jzlMQsE+fCZw0f15L8xD69P/iDPyAMQ37nd36H3/qt3+L3f//3+a3f+i3+4//4PyaKIv7gD/7gSV3aM41jR7rV+UcnI3+aocgSv/LFswD88V/dfqgj4AwzPE0Qancx4K/YOvNNm1bNRFXkIkpwrmEz17CLCD1DE0PcKM4Iw1QcrPLuf3/ic2d3RH/iczT0+as3d7m9M2S3MxVEryTFDyKheldlJtMIx4+IExEf3L9H9R7FCbf3RvRGwvk7jFLCOBFD5Nwl+FGx3C4Vr1XXZBRZxjJUwjChPwlYnb97iHnzekc8X5ywsTfm9u6IVy62qOXvQbtucXm9xWHfYTAOiJOUwTjg4CHOPv2xuP44EekfJ13JZ5jhaUazahb3mWkorJy4T44JSbIsIUmwvlT72IkEkiwVjYw4PxXc3h8xGAdEScJh32Vjf0TZ0hiMfaJYkNJLpkYQJtzaGWIZqmh6SIIgtr5UK9Y7JHjhXIt2Q4gpLp6ps9gq8a0f7zNxQ2RFYvtogpvHvq7Mlfk3391g82BMECfc3hvzzbcO2O+5vLc5IE7SYr06xub+iG++sYcfCjfRP//BNrqmEKcprh+xMldmqV1CzsVwiixz1PcIwpQoTtnYHxfx0yeh6yqfvTyPJIkG7hdePD1cWZ0TTvxBGIsIeV3F82M29sfC+StPA9I1mbVZotqnFnEc8y//6jZjN2Q0Dfnmm3t0eg7v3u5zZ2/E1Tt9bu2MmDghw7GIFg6TjOHUJ01TnjtTxzZUVFXK6wAJ29LIkLAt4WKjyIIweIxm1SwE3oau4AUxQZQQRiklQ6OUO7jXyjqaIhPHKW7+3XwUfP6FeQxdAQnWl6v3EcNnmGGG+xHFKbdz0tDx/ngSYydkv+tQKxtM3IjtA5HIcTR0CcJYxHpnQsR876wyTsU+dOx2aagK33/3gM2DMY4XEeeJd9N7nP0Peg7DSUBv6LHbmdIbeQwnAQe9TzZdZ4YZfprQG7tMHXHedtxIkImOIUFcEBcydE0lIyPLMqrvc84+6Hl4QUQUp4ymAa4fFYPMk1JmcT+7xHHK1I1QFUmQDiS4vN4QtTiC3P0gE4YHYaldKuoIy1SZuCFhJNa1myfWtTBK2NgX6Xt+kHB79+7PSnkyCJIQR8uSVKxVh30Xx7v7ek728AcTn8P89Uzc8GN33IyT0+v0ze3hB/4bEKTQncPp3Xpq7+H11J98e5PRNMAPE77z1j4HvaejL7E6X0bXxNigVTNnpJKPASvzZYbTgDBKWJoroyoyEzciy8A2j80CUlRFxgsSdFUkWv7Jt+8U98PYCbEMlTTJkICKrfHWrR7DScBR3+XdzR7DicftvREb+2M8P0ZVZOIkJYgS5hs2ZxfFObNa1ou0ym+9ucP1LSEaPex7/MUPduiNPObqVtF3HE5DSoZGHKdsHUxwcyH42kKF1fkysizOJpfWGh8oAt86nDB1xWs66LlPJOllpzNl7ITFOnOc+PMo2Nwf06gYpGnG0cBlea48E3DMMMMTwr179a0dQdi+tTMS9UguGnvQXPB4nbx3XYP7+3u//qV1WjWT/tinN/bQ81nMja0hXhCz25nSH/t08p7o99/tcH17gOvH3Nwe8r13Dllql7ixPcDNZyjXNgdoqoSmyjSrJq2aiRcm2KaKhEQcp1QreuFWXC1ptOsW9YrBQXfKXlckPE28kHfvCEHdF64soqoySIjUpPKHN3m5vTPCD5JT51YQ8xwrn+ec3EtmmOFhWGzdPS+UbWFK8SBkGSRxmpMxc+pOJhW/L0sSX3hRfMddP2LrYEK9IvqdWSZq1qV2CdtQWZmrMnFDpnnC2fXNAbtHDte3h+wcTrm5K2qlO3vDIuE4CBNUWWI4Eeeply+0MHQxL4jz8xkIgmWcX2eSnIhF/RgRxynXtwb5OpZybWtwKu17hp8efPstMRMLwoTXr3UYTR9eN6uKzNnFKpIEJUvnSy8tUivrlCyVF861mLoBWQqWrnA48BhOfJo1k9evdeiNfOI4Zftwgh8mxElKtaSLtExDJUmFo37J0vj2W/vFbOHmzpA0u0t87o08ukOPg56H48WMpiE/vtEljlO6Q483bxyxezRl7AQMJgH9cUB/7DOY+I88q989muIHCfWKwdgNidOMly+2T8waf3IC8aV2WZDOJTFz+cIjiK2yLOPmzrCYzdzaGc2Sdmb4xLHQtCnbYi8uWdr9ooQsK0RZYzfgm2/t4ocJYyfkv/+z69zcHhKGCb2Rx51dYWhwzBE4afB28vsdRAkHPZf5fNavqjKvXGwXPQbLFL0N14+Jk5ThJKA/eXjC25mFCmt5P8MyFM7OV+iP/YIPpClCsJamGbahcHWjj+tFBGHCn31vmz//wXb+miL++Z/fOPXY+12H0TQkTsRa9ca1I3Fd+bro+h/enX99qVr0Xlfmy+/bL/nZ11Zo5XPcdt3iK68snfr5F68soiiC//Hqc3MFx+pJ4kHnsRlmeBbgeAFBeLe+9oIETXv20u7Te+hKzyJPfG2pjCwJIYemypxdePaSjtt1q+CtHvPXPgye2Kp+/vx5/viP/5h/9I/+Ed/73vfY3t6mXq/z+7//+/ze7/0e7Xb7SV3aM43tjhhYnpkR/wr8+pfX+R/y4vLtWz1xkJthhqcYmirz0oU2aZoVQ0BFlvn8CwskSYqiyCh5nNTzZ5s5GWLErd0RSBLNmklTMrl0pkGjYjByAvwowXEjoiQl0xWSNAUkyrZotLtBzFzdxjRUojglzIkVsqwVDvZ7R1NG0xBdk8lyB/7j631hvUXZ0lieK7PfddiKJgydAEtXCOOURsVgZa5Mb+Tj+jGNqoGmynT6LqNpQMXWsU2VMEpZbpfJsgxVldnpCOLDYquEf4IwHUQJN7aHpBn88s+cRVVkMaBAqO5P4uTf4yRlMyeO3FvAPMip/6PCC2K2DydkWcbKfIWy9ewVfjM8PQijhK2DCXEi7omLq/UHEgXadYtWTRzy369Q3z6c8M7tHoam8IUXFyjbejFwPHZzyDKYb9o0q2bx/J2By0FPDCerJYMkbRHFoqmb5mtLmmYoisyZhQpXzrd45/Zd3fCx8KNa0pm6IZqqYOapGetLVdYWKiSpSMrxgrgoct0goj/2SbOMiqVz5XyrED24wd0GSpZBFMVFWkiWZUiSRHxi0DH1Tv5+RpTf/4vNEhdWarTyAeTRwKVs66RZRsaA/tgXqSGShK4oNGsGq/MVZFlipzNh4kRUSzp/85cvIUnSfS4ZpqHy6nNzjKcB752ImD1ef84t1zi7WJ0RQJ4iHPSEMNC2VM7kn/VHRRwLt/sshTCMccOYzYMJpZKOKYnjWZpmaKpMGCcosoQMqLKMpikYqsKrl9u4fsTUibhzMGa/79CqiLjx8ys16hWLNM34qzd2mbgRF1ZrXFprEMUpO50JV+/0iOKUkiVIAH/9a+chA8ePuPaA7+YHYa5h85/+4iXiOC324xlmmOH9keauIseI76lhR9OAnc4EKRcU+kGEJEtEuRv3hdUaIyfg9u6IOEqJUkHoVBQh7CiZKnGcYugyvbFPlKSkGVQsTSRcDcVQ5NxyrdhPj+/5JL+w43r/5Frgh7GIAc8yVubKM2elGX4qMJoG7HdFssXaYuV9064+CEkKcw2rqFFPbrWSJLPcLhFGMUgSYZTSzF1ijfdJmJDyNIw0ywgjQbYLohhTVwn8iL/40TZekLDQsnlvs8/O4QTb0vj6587wuefni2s56DlEcUrZ0kiSlOv74w+81xVZKtI2ypYQKB8jjlM2D8a4XoxlKqf4TfeueZWSjuNFaJpyajiaphmtmkXJVJEk6ZllH/EAAQAASURBVFSdce/Z3w9jbmwPSNKMpVYJL4gfqY5z/YjtQ7Hers6XsU2teO6T6/S9aXwPw72vLX4fwlUQn560eMH9QvEnAdvUeO3S/Km+1AwfDYamcG65xmDss9dzWGzZnFtW2T1yCOOERtkgTjLOLFR4b6NHlGTsH03xw5iypVGxDZpVk/mmzaWzDaZuiGmojKdjMlUmA4IwYfNgwtSPWWreJWXMNWyeX28wdkJubA1BohBeAPhReur+jGLhBC/nfcc0zXjjRoftgylJmlKvmHT6Ll6QYBoKX3p5mS+/nKdw5GvJYBxgmypnFu6/95J7zhhJerrvWLa1BxpURXHK1oHo6R33KR6GTt/l2mafKM64sFpjbbFy6vHuPec8yrnn+Pr2ew61kl6si41ZEuYMMzwxPGivHjsBWwdjJElirmGhawpZdr+zreNF7B5NybKMubp1ap/3AyGC++zleVbmSlTLJlcutHnzRgcviBlOfGxTQ1Vk3CCiOwTL1JjmpPHOwMH1Y2RJRlUkgijmzEKFlfnyqXSuKBFCVMeLhNhvEgjynBMy9cK8foGypfPi+RZn8+QiL0woWzolU9Rwx+/BmYUKf/OXL7N3NOHHN7v8f//tNc6vVFlbrJ5KGtk9mjJ+wHqbpllOVIs5GroYmkJ3KERuF8/UaVRMdE3h5XtmVzN8MPa6U0aTkJIl9sZPglzTG3kcDTx0TWFtsfLIyXqfNFRF5sr51gd+Zwxd4cJqvTibBGHMhVXRr7i1M6RZ1WlWxZ57kvD84rkWmiqzMl+m03Pxo5jtgymqItOo6Ox1XbY7E1Tl7nnKiCSmcSrMbUxNnDEycQ1lW+fnPrPKi+fbfOvN3eKe1RSZ0TTg9t6IkROiqcLoaq8z5XZ19LG+5wmgKQqNikwcJ3hBzNWtAReXHy0xeYZPD6LodI0axQ8+L2ZZxk5nytSNWGzZpCm4vsb5lRor8xU298fc3B5gGAplU2XohEz9iDu7I44GLkd9l3bDploy8IKYLMuEm7qlEycJ+10XU1eQJYmpG/L69Q6KLHF+uUa9YnB2qUqWZez3HFwvwtAUDE3Ok0DENaapEHpkmZjhqaqMrspoqnIqCfLeuvze8/pxH6BVs2jmiXqLrVKxdvyk8ZVXlvmZXGD2KMiy072F4xnmR/Vw7vRdkVKan8Fmico/GUzdkJ2jKbIksbZQeWrXaEWRefHcw/fiJMmY+hFJkqLKBr2hR2/sI+f1tKHJjCYhhqFQtTWRyJOmyLKYYd7aGRLFKXN1Cy+I6Q49yKBdNzlzeZ61E3PvWtkorqPTF4k8ciQSg+/t892LK+dbNCsmJVtDAqbe3R6kqat89ZXl4rreutUVqR9AGAvRVJqkIIF+z/1677oTJsmpe3rshGwf3uVhHvcNHwW1ssHnnl94pDWqZGr82lfW6Y+EyK5sne7FnluucW65VrzGpwH3nsfiJKM7FDWpaSisLVRQnpKadIaPF8ecIk2VWVusoj1j3ICpe7+Zy0FvymLr2TKpVGQJRUIkmckSvdHDxXBPK2xD49xyFceLaFQNsmdQiCLLEpfzHvpH6ZM80Sqi1Wrx9/7e33uSl/Cpw87h3SSOGQRqZYNf/MIa//rbG/yP/+HmTMQxwzODk4v7fNOmN/IIEaKJ+RNuNVuHE4aTEF1TRISvLNGqWSiKxPJcmXrVRJYkZFkiS4RLXrtmISETJwlxmlGyNeI4QZYMvDBk4gTECcRxgiIpHA28IukHhANVtaQzcgLOLtXwg5hWzUSSYDD26Qw8RtOAqRdStnRWF8ps7I+plw0kSaI78ojjFD+K6Q19KrbOYssW15iJ1x4naZECMnFDLq3VOey7hKFoWlZKOsNJQBAlvHyhfeq96g49oji9773a2BsX7npJTpAVZHOJpdZHiEJ8CK5vDQhC0VRzvAGvXZqbDTdm+NC4vTti7AjH7Ikb8upzc+jyg8lcH9QIcP2Qv3pzt2iI+G8kfP1zq8ItNxODJYDldpmxG/LyhTYbe2Mmbsj24Zh3bvcxDZWJIwjfP/faCtc3+zh+TL1icOlMXfz7OeG0NdewiiSM1fkyYZRwfWuQH+yFE/Hz601A3P83d4aFG+fNnSEvX2hTLxtsHU4gg4rNqdSfn//sGa5tDnH9mIqt88pzbSolA1MXZK/jKNhjXF6rszJXZvdIREq/eE48d9nWaJwggjSrJod9F9ePxdqkiCj2IEry2PZEiMgUmb0jp/hsdFU5tfbci0pJp14xGE4CJIlTauzZGvH0YDD2C0fniRuiyBKr8x9dKG2aKq9davPddw7wo5RaycANEsoWtPJhpKpK3N4dUS0ZhGGEnEdz90Y+Tj5kiWLhGtMdesiyRBDEaJpCZ+hjmTrDic9oGub/zqNRMXCDmKOBx8QN6Y8D2jUL29RQZAlJEnt7tawznob3fTcfBTMBxwwzPDoMTblvfzxGnKQc9ByyDMaOcKVr1y0mTogqy1w8U+faxoDBJECWJJIsQ8oN6iVEPR2GMSlimJGmPpV8uHE4cFFkmShOSLOMO3sjLEMQFRYaNv2RT71k4Pkx1ZIQXp90yryxPSxI2o434LXn5maN+Bk+1Yji3EAgH7JHccoLee34YXB5rcHm/pggTDB0paiBAc6t1PjRtSOSVMI0FM4tVRlMxJ78uRcf7uj40vkWf/nmLiRQK+nsdKaEccrYjeiPPRaaYn25sT1g52BCJkmMnZD3Nvq8+twckiQcZ4/rHseLuLkzLAjK73evH/Zd9rtO8e90VSbMnZp1TeawJ5JGJq7oZURxWhDIj+GHwqX6+GygyKJ/kaYZCzkR3fEiZFk6VZs0Kga2qQqSpCzhBjFOPsA96DoYmoKiyEzcEFWRH1jXZFkm0vvya3a8iM9cns+v/+Hr9PuhYmvUyjqjvJ5afZ966ktXFvnzH2yTZbmr4MLT1c+dnU0+XizPlbi60SMME2xTR1NlamUdL4hRVYXL61XGkxBNk3EmIZ1BxlLbojPwCcKUesWgXhaOs2GYEMYp51frdEdekbiBJKHKMikZkiRIQvWKQRAmvHWzSy/vs4VRgmWoNKomX7yyyHsbPY76Hpqq8MpzczRrd8/Fsiwc4SdeCBlEsYuuyuiawsQVJgdnc8fb0TQ4dYaSZek+s6nluTITd0CaZpQsjXrFpDu823ecuCGaKp8iHANs5AmgAGM35JUL7QeSZMZOyJs3jjjsi/XHDSIMXTn1eEutEmMnJEkyLFMt3C4fhnv7okMnoFE2adbMxyJwzDDDDB8vdE303zr5/b7Usrm5M8LQVQa5M+9XXll+4H7mBTGuLxKRBtOA0gkn2+vbA/xcWHljZ8RrlwwUWeKFsy1ev3ZEECYMJ75IpdBV0izD9UPcICZNM1RFQVcTgihmoWkVtcXLF9pFP7ZZM9ntTNnvimvvjX3qVYPNvQluGDPftNk6nNCqmiRJdqoOu3KuxY+udegOPRRF4ktXFoufhXHKN97Yoz/ymbghnYELSFiGSq1s0Bm47J5Yb3VNKc57u0fTYu2Mk5Ttw6lIASnrbOyNaVw+vTfM8Gjojbxidj9xQ1RVZrn98dZ8rh8Jk7ecRJdmGRdPJPQ+Dfig78zKXJlbuyMkJOoVg7JVZutgzNu3emiaTH8c8u9/uMN/+ouX8vrhbm+9WTPZ2Bsz9SL2jqbYhkKcZIwmYZ5+o9Eb+TSqBlGSomvCzG65VeJo6NGsmkXNb5sqF1aqyJIQTLlF/yPi5s4IPxC92DCKSTNx3d2h97G+55au8MrFNm/eOGLqxZxbruG6MTe2hzOOw08ZXrrY5nvvHkD+XWvXHzxzOnku39gfoypSnuwbkmYZf/XmLs2KQWfgMXFCYciWZNzcHUIm9o4oyeiPfZ4/WydOMw66LlkrQ1cVSpZGd+ghSTBxo4LwvHkw4SuvLjPOHeyXWiWQYLfr0B/7lCyN59cagJi9lSwtT8kJkRDrgiJLBfHz3ln9ved114+4tNZgOAmIkxTLVGnnc78n6Tz9ODOR477G8V681C595L7qaBoUieoTN0SWYG3x2XOxftaQpBnXtgbFnD0Ik6d+jX7YXrx9NGWQ82f8KKY38vHDBCSx/w0UkSAbRAmXzjRIsowwBNvSMDSl6DOMXcExcnIjRTtQRYr4Pffn8XU0ayZ+mAjxSJy8r1GD492tddwgploWaUFhJPhA60tNwSFApmxrfP6FBd662QXgM5fm6I99DvsukgTnV0/fHwtNm8FYrCuGrnB2qcrWwZgsg1pZZ687JY7F5+z6g6K2fxw8yhp1NPAKrsHekfNQrsHTIuCA+3unjarJ7d0RIHrBIMQnM3y64AdxwSkCcfZ47kzjiV7T42Ll3kQieOYEHCDqq0LQJsErF56tzwHEfjqchqRpxmAcoKvPbq/ho/ZJnrgUdDKZ8MYbbzAYDPj5n/95arXZAv5RsJMncXwcBLNPE37nFy7wJ9/Z4AdXD9ncHxeDpRlmeBrQGbgMJj77Rw6mofLCepNa2SBJM/a7U5IkY6Fp8/KFNo4XcWN7wF++vkOaCWfL4dTHMjRW5yvUygYXVmvUSjqDSVA47H75pWX2elPIMuYaFp+9PE+lpOP6MRv7I9680aVRFo5+t/fA1jXSLMPQFdwg4vbukP7Yp1Y2GE0DamWDy2cbvHp5njRJePdOH8eLsXSF7kgcguI4IYhSypa4Ti+IqZUMJEkQX6I4KWK4gzCmN/Zp10wunqlTtnSu3unncaIJw2lAraTzm19Z5+bukK39CWmaMfUijoYeC02b+YY4xBiaaHAGUVKQNo7hh8Kd/2jgMZwGnFuu0qiI93qvOyVOhPPOUrv8kdXCWZYRnEgPEdGSKfJDSPczPPv48c0jbu+OWGqW+OLLSw/9vc5AiALqZeOUEOGD4Id3HSWmObGqVbMeGkEOYkg0cUU6xMnmh+PFpxwtpl4ovq/5fwrjFCn/s+fH3NoZst9ziKKE/a4jYsOTFE1R8IOEZs3i93/nFboDh3bVRMobCMeEinPLNRZbJWRZ4tbOkHfv9PCChLm6cCHe604xDRXXC7m+PWQwFuSRJIVG1cAyVHRN4YsvLhInwmFCvH6T+YbNcrvM/+63X+bWzoBzixXm80PWcBownPhUSgZ7XQdZklhql1BVlf/T3/wMN7cHlG2NVs0WbqNpxtbhBCMfYCqKzOp8hf2ew1zdIoxTBmOPJJXY7zlUbJ123UJVTrt0nPysHgRJkliZE27Jpq7QqLw/YeSjwg9iDvtu0QSfkW0fDSfXcEA0LT8CRlMRE24ZKv/rX3mB1bky3/rxPmGSkmUZliGL9Cw/olk2sNYbjNyA0TQmilNMXSaKM6I0E0RGSZAj9dyxWtdkVFmiZGrUSjrjPF49TjIcTxCZJEnKH0tloakw3xCOVUmaoSpCyHF5rYEXxGi5E9ajIE0zDvoOYZTSrluz5Kn3wYfdA2b4dOLk/miccPaP45Qsg8WmzWHfoT/0mDg+RwNfEJHny/mQMmM08YmiBGQwDYVqxUCRJEDCD2ImbkgjFzaaukK7biJJEp4fi4SrVLjsl20d01CLOvrz6iJxfH89HZxYC5MkI4rT2b7yDOCw7+IFMY2KQa08W3seB1GcnnJ6/aA67xgb+yP2jhxaVYvL63eb57WywddeXeag77DYLCED33l7H1mWKFsaX35lkf44YL5Z4txShVu7Iwxd5osvLpz6HOMk5frmAMNQeWG9QatqcDT0mWtajJ0wJ0GLQaqItU9EE1mCOEkwVIWx4/En375DECacWz7dJ5t6USHiSJKMOM1QHlAWBGHC2AnxghjbVLm01qBdt5Ak2O1Mi0EuQKNi4kcxuqacIkyHUYofxIwcIZpdape5cr5JFKeF8+1xbaLIMntHU+Hw17B48VwLP4zRVIW3bnYR8jVRtymKXFyzHzz4c0vTrCCEgPi8kzQrXCsftk6/H44dQrNsgmWq73vPff6FRc4v13CD+LF6uVEsxH5pJlJHPko6zAw/GfRGHm9eP6Iz8Flq2ZxdrLDTmXLhTJ3RxCdJM8qmRhAlXFytM/VihtOANIPR1Gc4CdjYH/FG3aJWNqiUNNo1m/mmxVdeXaY38Li5M8TxI5I0w9AUnjvfwM0d469u9NnrOoydAFWR0TS5ON+0axZ/8xcvsXEwYaFpsTpfZe9oWqT8qIqE48eUTA1dlRm7IZ2Bx1LbRpHlU+vi8WOOnQAvTJDl+xPDK7bOq8/NEcUJpq4iy9J9a+uDzl4n/1sQJtzcGdKomiy2SqecZv0wLsRkIO6X4J7HK+fXEEZ3r+H9cPL66mWDRlUkDs8EHDPM8OHg+hGdgYeeC7YeZdB9NPBw/IhaWT/VR7MNlVpZmKWYmsoPr95h7AS06xbzTbsQcU7ckN7Ix8yNXjRFpmLpJFlGq2KSZnB8qrn3zJMkKYqsoOsKv/LFNX5w9bBITHPzGqNZNZmr22wejFlo2eiaQtnS+Nzz8yzPiXXwzEKF3/65i7h+SLNq8q++eYeJG+IHMYOJT6NioihwYbmKrolkRU2VadUt4jhh+1AkIi40bf7Wr73A4cChVjKplo9rtpTbOwNhcBUmBGGC60e8t9Xn2lafCyt1ztwjGN3vTrm1M8Q21VPCuFrJ4GjgEUYJcSRmOydrpBkeHffuQff+/WN5jhN9/XufYzD2GTkhJVMrUjifFB52H4Nw1a/YOnGSFvtr2VK5ujEoZnVBLmLVVRnPD/nLN3eoWDq/9pV1QAjw/TDGDxMurdXpjzzaDYv+0EdWJNp1ixfWm6RpwsGRy9iNWF8soygyhzWHMMm4sFrn9u4YXVXw/BhTV/CjmHfu9DB3R5xfreVGOQqyLAnhSHfKyAkoWxoLTZvhJGDkhJTzBORjvHO7x2gacGahUtRHSZpx0HOI8/PN8Wv/9a+c48qFFldv92hUxWM86ll0hk8PLq01WG6XCKKEVu3h9+/Jez6KE0aOuA9KlsZgEuJ5MY4fYRoKWSpzea3OxI3wRgmSlOH7MWGYoCgStqGy1LIZTgN8P8aXEhoVg4qtUSnr9MfB3TO0JLHfdWjWDBQZNg+n6IrC//63rjB2Y8qWEI0fn+dVRcYLYi4NPe7sj8mSlIkXUbY11pcquEEs+heJMNNIkpQ4SfH8BC+MKFs6lZIwcXvUOv5xcDxPrdja+77fHxUrc+WiJ/JhkhvSfN0I8+SDe/eVjzrHmuHRECfpqTn707ZGH/Qcbu+OKFkaL19onSL+Z1nGYd/FDxNaNZM0S0mzjDTJkKWMsq0jyxGyJKHIMvMNi+7Ip2SoVGyV5XaZnaMp51frp75/aZJhmRrrJdEH0zWlMFN9EEqmxgvrdSbTiHbTIkoyfnStQxDEPL/exLY0Dnpitm/oCoOxz0FPJAO9dL7F8lyJ3iigVTOYb9g0quapPsP6UpU0zfJUIInr2wNsQ+Ximfqpee1C02apXWI4DZhvWKJ/GUZ4fsxSu8R7G4PimqM4Lc4Vj3KWcfyYf/mNG/hBwi98bpVzy/WH/u79fZGP9p26utFjMA5YniuxvvTJ8XBP9k6nbkhveDcJwH9KEodn+HgRRIno5U+FCYthPHt96f2+hyLB8TKuyNAfejTrT/a89LhoVjT2e7kYXYOx98FJw08bFEVm6gZM3Iillk0YPXuvAWA4CRhORTL1MXf1cfFERRx/+Id/yH/73/63+L6PJEn883/+z6nVavze7/0eX/3qV/kv/8v/8kle3jOHNM0KR6h7G3E/7Vhul/nKK8t88809/vGfXOUP/jdffNKXNMMMgDhAbR1M+OF7h0yckFbdYrcz4bd/7iK390aFE31v7PPqxTavX+9wZ3fM9e0BbhChyiKOtFoyyDIRaz3fsNnvOoXrhhtE7PcdHC9i7IZYhsrm4ZQr51p0Bh7vbQzxgoTucIhlqlxYqbGxPy5ixsMoIU0lBuOA/a6DoSvYpsbG/piXL7T50Y0+N7eHANzZGyHJEmmaMnZD6hVdNH1M4W6fpFnuoq8jSSJmcuyE+FFCPAmo2Dqb+xNeudhmrmGxdTDJo45l+pOAva6DZagkacatnSFynjqysTcmTbPCVU9RZOwHkMnmGjbXNvts7I+J4pTDvkOjYmLqKkEUY+gq64tVxk7ISxc+mluCJEnM1e8qz+sV45HJsDM8e3jvTo9//a0NAK5tDkhI+crLK/f93mHfZTN3ROn0XV441yzIUR+EuYbNbmeKF4ooUttQmboRaZqx9AC1eG/kcWtnVDzXc2v1YjjSqJg0KgaDfI1ZX6pStjRMQ4gyaiVxTWGUcDhw0DWZ3c4U149JU4oCVLh3invN0hXOLDxcJGkZKm/eOOKtm12yLMvdQttClCHBze0Bf/6DbcqWxkHfhUzc0ze2B1QtXTSCJOGG1R36lEyViSNU2YamsHc0xTI0DgY+pZIQZ20dCMHXG9e7LLRsSqaG40c8f1Y4Hl884QqQpCnv3ukXJL0wFiKTG9siMWS/5xIEwuV3r+tgGxpuEHN+pUarZtMZeEVEXvMDGrxRnPDepnBoGQNpCudXPpkGSpKkvLvRP+FWFHNp7dlT4T8J1CsGu0dCTClJnEpzeVw4XsS1rUExUE3SlItnGvzJdzZxvJggStjcn6DI4qCaZiJGO0kASWzIlqFQtvTC4bpeNhhOfSZuALmD9nAaEsYJjh+hqTJZltEbuWTATmeKlLtbZVmGqavUyyb1ioF6Ys+UJOmxyUjbh5PCrbE79Hj5YvuRiY4/TTiu+0CIOV5Yf/Q9YIZPL6wHDOsMXaFi63zj9W22Dicc9BzG01DU0hJsH02Yq9tASncYEKdi+KKn0K7ZjCcB/YmPFyRIMtw5GCOrMpfXG4VY+Ruv7+J4kUiT6k5ZbNk54fluHX1vtDjAXMMqnPWrJR1Dn93rTzv2jqZFr6gzcLlyrkVpJrZ7ZJi6SsnSChe59iPUAzuHE/7qjT1ApOmlpLyw3gJE1PhW7sS7sT/m1s6o4FvFSYKmKsiSRGfgsH80Kc6Q/+IbtzibD9y2Dyds7o0hnxF+40c7hfh0c3+MnCdsBVGKH0QM8mQuOI7skfDDhNu7E/pj8bpu7oz40ssLaIoKEpxbrhaDtmpZf+B6gHgoDvsuWZYxdkJeONcs1rV23aI/9kXChgSHfadwnovjtKhJdU2mM/SKlJ9m1URTlVPn5+Pa5PbuiG4+DOyOPF652C5+Ntewij7IYssmTlJSEUzw0M9NUWQaVaNw92/WzPvIiQ9ap98PYZRwdUOkDIydiDR9f9e5Zs3icbNdrm8Niu/kcBLwysX2E3UeneH9MRj7/Lvvb3Fnb4zrR3QHLnNNC8eJGEx9+iMfXVe4emdAo2Iw37QZOwFpknLY80XvzA0xNIWbO0NqZZ3PXV5AkWVePNekauvIwPevHhJGCVM3YrFloyoym3tjxk7A7Z0Re50JUz/GMlQqto6aEyn6Y5/droumKvTHIQf9Q/T8/htNA+oVAz+MmebijfmGRZbG7B05nFmsnLq/6hWD9zZiDvJaoWRqDMb+qcRLIBeM311XmlWTg55LmoqzV6t2v9HBXF30CZM0pdN30RQZ14/x/JiLeRooCJFFqybcubMso1bSH/h4x6maj4JWTaR0Hl/fUqs0E3DMMMOHRBglp/pvQZR8oDtrp+8WDtOdvsvlsw1qZePUGXvkhFzd6HFzd8jUjdg6nFAu6YymAZoq895GP0/9EqS7cb62Aox05dR60D7R06+V9UIsOXZD/uJ1kaQRRDEbB2MhypUkmlULO3cEF6ZTJdp1s0gVO4Ztqth56kfJ0hhNA3YOJ4yckEPLRZUVJk7M0lyJqRdjGhpHfQ9TVzA08e8GY59XLs7d14e9tTti7ESoisTh1CcIRYLw997aZ6FZYu/I4bOX52lUTdJUvIarGyOUnNQ317DEep3BaBoymgY4fkx35KHpykzA8SHRqJrs95yiv/hJEIOrtjibHxMpj/fm0TTgRj67A8jIPjSh5KOiM3DZ2Lv/Pj4JXVNOiZOrZZP1pSq7R+L8tDJfRldl9rsT/uG/fJcoTwPojT1+7UvnUGSJ4SSkWtLoj33mmyX2uy5hnApSULvMaCqEUzd2x/ihSM+p2jpDRySd9kY+WZKhqDL9cYDjBewcTpElCdvSGE4CnjvboGRrbOyN0RSZa1sD1hYqbB1MGEx8Jo6o0zuIVLS5hsUb1zu8fasHwO29Eb/6xbPMNWzu7I3o58L33sjn5YvtokY6M1/B9WPG+Xlu7gl9djM8WZRtnQ9i/bRqJp2BW8z1fT8WSXpuyPnlCns9h/2eg+tHlCyV23tjdE0hiGJGTkCWQpqJs3mKmIVV8nlhFKdM3Yhzy1XOLlTp5k7xWZaRZhm9kU+UpLxxrVPc08Opz698cb24vpN1s21qLLVleiOfzf0xUz/CMlS+/fYBJVPloOfyxvVOvmZKDKdiFhhEKdWSjqmrqLL8sRu29sf+iXmqmJG8XyrAR8WHEW8cY/NgXNQp3aHH82cbqKosZoAfcY41w6PD0JQi1R4erV/4k8JoGvDvf7hdiEy8IOZLL901n9zpTIv+2dHAZTAKir6YbYiUzzjJgIyWrrDfdYiSDDeI2Tly6AzEvtUdHnDlRFpxydJoVg2G+XvSqBrva/6UphmDiUj8PBr4eN4hI0f8263OhPPLtaJ+T9KEd+/0CnKvrik4eR9x4oSoipL3E+8+3/GaFEUJRyMPXRVJXcNJcGpe2xm4RU9y4oSYxrToiTq+SCqe5OeGiq1z/WQCywecZf7B//RWUcfc3hvzX/3nn6VefvDa0qxZp7gGH6VmfPdOjx+91xHPuztClWVWFx7dPOZxcdw7lUtGkZACPHEB8QyfDHRV5rDvnjh7fLJmpZ8Ezq80OaHDI8t45gQcAO9tjYs/j7yMycR/n99+OvGNH+0UCaU33RHXtvq8fHHuCV/V42HihlzfvruvnOSuPg6emIjjn/yTf8If/uEf8ru/+7t87Wtf4+/8nb9T/OzrX/86//bf/tuZiOMx0R15wmlOlj7Ul+HTjv/8V5/n2z/e4ztvH/DeZr8gcM4ww5PENB+6T72IDHGI8AJBvjz+GQiCQxAl9MYBYSwOTmGUgiqhphlzdQvbUrlyvoWqyMUwHyCKUhoVHdePxGBXlhlNAm7uDLizN+Zo6JBlUDJVyrbGl19eZn25ynbuRr975OJ4IVEcM5z6rM5X8XwRN75bnZ5SU0dxynzTpmJrhSv4UruCbaqcX64RRAleEFOxxfVc3ehzZb3FYOoT5o5OqiIxmATIssRCy8bxI2xLQ5Yk+mOfetnAtrQiNWOuYTP1IjYPxjSq5vuSRheaNo2KSW/kE6cZEydkNA3xtJj+SESgdwYOQZTw4rmMjf0xXiDiim3z8bfMc8s1GhWTLMtmbtufcuzkRO8oSVFlid2O88Dfm7ghbhARhAmGrrC5P2apXaJZNT+QdLMyV6Zi60JMpQrXiCzL2OlMUGSJVs1EUWTSVDROtzvCnU3OH3fqRjQqJmNHxIh/7TOrdIfC9e744P7iuRajaYCuNZEQhGNFEU4bhq6ImORM5sx8mTTNqJd1HF80Ti6u1ND1B98nSZLSG/ls7I/IMtF8rZUMhhMfy1SwLION/ZFY39KMDHJ3DhnbVHH8iLmGXYjCTE0t3q+pFxWpPiAiGzcPJpBl9Mcu/XHA1BUOXyVTo9N3hQN+2TjVKPX8+JTL8tQVzePjBpEipRz0pqQpLMyVaTcsKjkBsmRpnFuucjRwmWvYH5hC4AXJKYeW4+bPJ4EgSk65C0/d6H1+e4aTMHWVly+0meQCyI9C0nG8iDAU+7uhKUxdkaRxcbXBbmfC1I/Y3Bcub2kKQZySpRlpJtwfNFXCMnR+5sVFoliQlhw3QFGFKCtOUjRZIstSDrsuvaHHueUqV8434Y4Y5k7yz/7MfBnTUDm/XEdVpI9lfzr5HU7TDDd/nTOcxsnajkx8L2YijhmOcbw/H+9Pl882+Nabu7kgS4g0QAj/4izD8yMkSSIlQyJDVkCWoFU1WKib/PBagCwLgrKuydRLOlkmxHxn5svFXjpfN8kysV88SAR9L2olgzBMqJZ05hr2Q+sX148Y586T5dn3/IniQWvPTMTx6JBliefXm4ymAYosPVKSydGJMzIIx9kX1sWfT+6ZYZyK1Mn8MSduxNqCwWAaUrU19o4cojhEkQUR41jE4foRw2lAGCdoqsxBz0HXFeJYiEDOzJeJ04xqSSeOU+HknKakSUqtaiAjYZkqm/uT4lriJGWhUaJRNbEMFctQubM3JklS1peqD73XswzOLlbwwxjTUPHDhKsbPRRZ5uJqjSvnW3hBjCJLvHnziDu7YzRVOH8W70OUstIu4/hCWGYaKoOJ6BE08jplMAnQNZmJG3J7d4gfxJxbqjKcBCRphmWorM6XSdKUMExZX67iBTH73SnNqvm+n9v55Rq3GSFJcO5jIIJ4wf3nivdDf+wTxel9w+aHIcuyUz2fIExELTgzjXhqMXFDRk6I54uEPc2QxD4ui+9/lKQoiUyQieHn1A2RJKiXdYI4YeqJdSNJM7JMEKyaFZOFll2II8I4ZbFpczTyUCThCj12AuGOlxsiqJrCUkkkMi21S+z3XBpVk+mJdSlJU0aToCAJur64f1tV4VrvBTHzTYuKbeAFcSEM7I2Es/ZoEpCmKQtNC1NXMXRVpIKdIEBN3ZCpJxJDDU0kBsmyxEvnm0Xih+NH7OVEB0MXZIzFVgnLUPjxzR5JmhbEhokriMZeEAsnfl3lc88vsLZYJUlS5uo2pqESJymHPYeJFzHfsFBk8Xru7Q08CLap8dKFlthDTe0jka5mmOGnHQ/aJ8MoKfZ6S1cZToUr7vH+faqeRfQrvUAkexfI4LDrYmoKiSHI8poiM/VEfyI7QdDoDIUAtVE1sHLBbpykKLIgcJdMjeqqjiydrv36I69IHD9OpThem1RF5rnVGlEcUyvpnF+pC3HoQ85YUzdELRKAp2iqQhSmRFJKFKdULJ0LyzWiJMPUZW7uCPOsVm7E0Z/47HUdLixW+fKrwkhoNPW5sTVAVxVW2mXqFYPu0CMIE7xQGNP0Rh5f+8wKjhcxGAen6kE/THgpr900ReJo6GLk652lK7Mkjg8Jy1B56UKbqRtim9pjC4QfBYoic+W86OsbmlKcwZ177h3Hi+AJefs4XoQXxPhhjG3eFcmf3L9B1Lr9sU+SZDRrJj//2RW2DoVRk22odIceN3dGhYADoDvyObNQYa875exihUbVgAzcMGZtscKdvRGNSpXFps3qfIUfXetQK+tkk4wgTOiNPSxDI01Toijh3c0e55brGJpMb5gQxgmKLJNlKV4Y8+qFFmM3IoxidjsOSSySBR0vIohi8dxBDEhI+6PClKpABp2Bx1zDxjlxVoiTlCCM0VTx+UmSxKUzDUZTMS+dpWrO8DCUbZ2XL7Rx/IhKSaNe9giiBMvQ2O97tOoWIzdEVaRCTB0nCZIEMhKyClEiTKWOeg6GruKVDWRJolU3qZV1WjWLIEr48ktLfPvtfZI0o5Q7bw/GPt2Rh21qpLm5mh/ED62ZNVXhpQstxk5AsyaMFg/7HmQZQXjs7K2gKOSGNhKaJmaiSZpyNHQ/dhHH9J4Z3cQNP1ERx0fByR5DmmYkacbLF1qMnY8+x5rh8XC8RkvSxzNn+7hwvI8eozf02NwfsXEwYW2hgh8kYmYZJ5QtHUOTUCSI04x61RQGCodTNE1hoWlj6jL9UUDJ0vL9LmTkRDTLBpkksdS2cH2x55p5LQ/CYKE7dPjO24dUSzo/95nVU9cpyxJnFyrFenV9q1/0tjw/pjf0cIIIWZKRJWhWLcJI8CEd79Hv2ShJma9bdDJh5iDL8qkEs+7AO9Ur7w394u9JkrHQtFBVUQO3ayY3tu8+9wfN97ujuz3iIEw46DqnRBxBlDAY+8J0r2Lw0vkWjv/gvkOaptzcGREnwiTwYYY7QGGAc4yjofeJijiOoakyV863GTsBhq5+IF9ihmcTYZyyOl8WJnGqjPEQftDTjJ2jMSpwnHcjZzAeB1SrT89a/ig42ecA+N57h/zsZ9eezMV8SAzzRJc0zZAV6VSP4lnB1I1O7Sv39rAeFU9UxPG3//bf5r/+r/9rkuR0hNLZs2fZ3Nx8Qlf27GInd/Jbnis9sovUTxPOLFT4a59f48++v8U/+uN3+L/9H372Y41YnGGGD4NayaA/8gWZeSqc98q2RsnUqJV0erkDi6EpGLrKYtNm4uQDjURBlmXKloauKTy3Wi/u/WpZZ5wr1XVd4aDvQCbIYVKW4fgRBz2HvZ7Dxt4YQ1OwDJVf+pk1Jm7I7pFDd+jTHbrc2B7hBxFukKApEod9l4qtUbJ0yrZ2ci/CtjTaNRM/TBg7EUma0R+HnF2skqQZz59tYpsarh/zp9/bKtS5aZYiS+La+2Px/6IpmmGbKkpOGFFVmb3cGUCSoFYxGEx8jgYeC02bd273eOl865Rbz71YnivTHflMvRA/kEmSlO1DlyRN6N3yeelCkzSDP/n2Hfq568C1rQH/0VfWH0pQfz88TYf2GT45LLVLwrFGGGQz/xCltoTYr7PcoebK+ZZwU2qEH+g6B8LxWlUkxvlzHfRdLF0ly8YcDT1ePNfkxvaA0TRk6oYMpwGr8xWQxL89mc4hyxJXzrdODY5URT7l7LCqygynIu0iCBOiXGTRGXg0KiZ39ieESUaaZtzZHfHrX1k/FckKYvDy3qZwio3ilOEkoFI2uLM/5sx8mZ1OSBSntOoWUZgglyVkQFZlkiTDCxLKlrjG5XaZaknnXTcsDiW13NXh2DVk72hKvWJyNHB561aXsqUxdkIWWyXGTsDUi9g6mLAjT3npfKtogpQsDUWRisZWtaRTsXVkWSrSPHpjHySJ3a7DS+eaGLoYKAsy2Ygsg7E7QlMVqqWHE1ZtU73rjAOf6ADG0FUMTSncmavlGZH2caBrysfikKeqEtudSfH9WmiVWGiXMA3hMDfqOiiyTBgnRElCmmQcjyLjFFQyLF3mwmqDf/mNm+x1p8QJZGkKWYqma8RxzMiJ2M5FZNc2B3zhxUXSTDhSkonvuWVorC1WPlYHlFrZwM2dahRFojQbFDwQx3UfiDpmJuCY4Rgn9+eT+1OlpJMkGZoqI8kSxJkw3pcgiFKyLCWJ8/UihXEc85239inlwq04yZCTjIql4fgxt3dH3N4dYepi7TkWlJ1drD5So/Wk0+3Ei2jWTGT5/rp76kVcvdMr3Pcvr93vsDnDTw7Vkl4kPMqyROV9apQZHgxFfjwHxqV2iXfu9IrG7fKJ1LxaySjSbHRVZq5uEeY1oWmovLc1zEmIKSMnyp3vYLF5d98WBAeHIHc1S+KkcKqTJPIUC1kQHzQJVRX3t5RmzNdLqPmQL57PijO5baqstEtYlvh+3NwZFntWGA958VzzgUKOallH74s1JcsyXr/WKdzrdjtTvv75M9imhufH/OXre0WfwvEjPv/iUvHcuq4UPbowTrmxNQRg60A8z3Ht/8P3DrizJ9ah23sjFFVGz12pT9byP755RJoXU2MnQlWVh36GN3aGhXNikgy5/BFNX2xTO1Xrv1/9vXUwLhILDnoOL51vva9LIQgyV7V0t+djm+qsD/yUo1Y2SOKUw4H4rMeOxOU1namXkGYZWp6EpakSBz0XVZXxg1js//l9l2ViYC8pMoYqM98qsXDCjVnXZPb7DhMnpD/y8aNEpGlI4pzfHfrIkkQQiXP90cDD0lXevdNjZb4C+fdQkeVTqRUVW6deMZi4QnzcrJqUTD0nHpcpWRqb+2P2jqZ8/71D4iilXNLQFDG4P379xxhOglPOZMfnbRBJOBdX62zuj9nvOWwdTiAXis03bc4t13jzRpeN/TGdvktn4PH55+dJM4lrmwMA9o4crlxoYWgKy+27nsVpmvHWrS7XNgYiDVSRaFQMWlWLXUWkFX+QMMPU1YJgOsMMM3x43LtP2qbGO7d7RHFKGCW4QVQQm86v1GjXLWplvSAiDacBXhCJ3mcu0BDrJawtVbi+NUSNUnRNplk1qZZ0NEUu1psgjBlOEhwvxgtjrLZK2Rbr2sn6p2Rp99U/7ZqVi+TEHly2NCq2hiRJlCyNb761X1zn1Iv5pZ95MHnieC3c7UzZ7kzI0tyEJUpQFImpH5JlGZapYQFv3+6xuT/CC4SzumUoHPQ9JOC7pkZn7PPbX7vA69ePuLktzpW6pnDlfBtVlbm60UeSBAltrmEX65llKOiqQhiLenCxaWObmqjdghhzd4QkSciyJMx1ZvPUDw1DUzA+gQSOk7i3rw+Is59Ese++X7/6k0aWZWwfijpekjxaVaNIjNw7cnjpgpjrbezfdZg/zJMkzy5WefdOvxBC2LqMrimEeb97vm7z59/fxvFDjoYeUVwhIyNOM9693UNXFYZxwrmVOpomc265Wqw7Ey/C0GTGbohERhCKKL/3NvrUK4YQqeZnBTdIqJd13rghksa/9dYBaZLhBBGOFwlB/WKFnUNBYO+OfV7Mzxa1ss5B7+5sc7El6rhqWS9er6bK99Ujsizdl2g2wwwPgmmomLkp2cSJMHRVcALICKMYKROmj3EqDNeSRJhHZhmUDQUnSsmyjCwFEEZsmiqz2CoxcSLqFZ3+2OedO100RZz/4zTj7EKF3tAXs8/OFEWG+abNO3d671tja6rC6nyl4EHUymL22Rv7aJpEFCeoitija2Ud108EX0CRWWp/UDbJ46NaMoqzOYjezdOKalnHC0TfRVVkbFNDU+/fA2b45PG0rtFzdetUvZ2kGf/sz66TZvDdt/d58VyT4UTsbYNJwJ29CYf5XuR6Ie2GSYYkTCfimDAS7jLCdEHl3Q1xpt87mnJhtV48z7XNAS9daNOoiPdkOPX5w//hx0Vixs7hhN/9tReK66yVRYKmoatIkuDzHd+HtiFzZ39c1N3zDRvLVIt69OziaUHC+92zmqrQGXiFgNQyFSTpbq9xqW0zzlO0yPfoY1M8VZXZ6zm4nngNQZQ81nx/pV3idp5EZpsqZxbvckHCKOGd273isdYWKyy2Sg9dN//i9V1289rpYZyMYyy3S8UcB0n0qn9SmK1Hn37YpoqhqUWiY+0ZnDetzlULAQcIMcezJuAAYfRzEq8913oyF/IRsLpgs9sR61Wawsvnn73XUC3pp/aVD1tHPrGu8/b2Nl/72tce+LNSqcR4PH7gz2Z4OHbyL/Xq/CevoHxW8bu/+jx/+eYu797p82ff3+JXvnj2SV/SDJ8S7HenjCYB51fq6Pqjux/ONSxURWKhabOxP0ZVZV57bo40y2jVTAxdOEvM1S0UWeJLLy1iGQorc2UxdJQk6hUTy1AwdZXe2MfMB5WGpuAFMRMnKpwZF0KLwTSgYusMcrfHSkknCmOW5mz8MGE4CYjjlO7Qw/VjZBmSFHRVIkUMLb1AuOUc9lzWl2ssNkt0Ry6fu7yAbWn88L1D5ht3I/9cP0KbCsFEGKfc3h3iBTGyJBFGMYc9lwtrDWxDOO4Pxh4gU7FVGlULQ1OolHQMTaaje8RJSsXWOb9c48b2gOV2ibKtF/GwDzoYRLnLaaNq8DNXFhmMfWxL5QfvHmLoikgvGPtYhsbKXJkfvtehnh+8XC/icOBSLRlYhnpKJBLm6SLHTZIZfjrRqJh8+eVF9rsuzZrJ2kNcYDLEwXnsCuFCklfWg3HAueVHey7b1HjhXIvhxC/cGEDEox72HXpDEV+sKDKNisli06aeDy1vnohPj+OE65sDVubF/ROECWVLK0hDg7GP40VcOlNn7Ap38CBK2ToYCcGoLBNESSHAGkwCpn5M9R5SchAlRWNkbaGKoalYpornh7lYC8IwxTZUvv6FFZIEzi9XSFMx8Dwzb1OydZbnytTKOnGScXG1xkFfuIYeE9HXFqts7Y8omQpRnNAZimhUQ1dYq1SxTeGsd0yaTtOMsRNiGirXN/sc9BxePNfGj2IMTS0e99KZOrvdKV6Y5OQ0UCQJ1w954VwT01DZPhzfVbpncGOrz+pClYXmgyPOVUXmhbMNtg6nmLrC2uInV7spssQL55ocDT0UWWJ+Frv+RBDHGStzZaZehCQJl7mypfHXPr/K//jvb7HctlHnS2wcTHIyZYYfpERJjK6pLLVLPLdaQ1PFva5IMgkJcZoVSVHVkoEXJKiINJuxI/ZzQ1eoVQwWmyXaNZOSrdGqWWRZxsSNUBUJRRFEsVKefHXSPcb1Y9IsY6llP7QheGZBOOwEUUyrZr2vmPL9cDRwRb3SfPhzPQmcfK8+ipPVcd3n5GkLMyf8GY7RP+EgmyQpG7uCmNyoGVxea3BmoYTjRex0pky8GFMTpM6xGxJGYUFUVmSR9uSFHjVbI0pTDF3jzEKJSr7Xq4rMXmfKhTMNSqaKoSu8cK75SISc48EqiKTAqRvRqN5/vw8nPn7uTqtrCtuHk/tq6CcFP4yLmieIEuIko2xpn7jBQ5JmTN0QQ1N+4u7di60SmircxhsV8xNxfp3hNBZbJX7x82fYPZrSrlusL90d0NUrBoutEhv7Q9aX6rx2eZ5vvrmLIsukKURRl6mXYBgaWQqZJEjVi+0SZxYrDCc+zarO+lKN/thHVWUcL6AlybiBcLCXJVHLV0s6V863mGtaTN2YVy62iOOEH1ztsDJf5j+7eIlvvLmD68V89ZWlQsAB4t/7oagBjpMfjhMvTt7LjYrJ5bMNJm6ILEncOHHe2O1Oiz93Ry4SwhVbkSUc564b0b218dQLcfLh6MQJSTOR0KflRHTTUAo3zsOeS6tu5YkkfpFM3B36mLpCBuiqwmDsF0KTkyLKOEkLAQfAaBq+r8t0ECVFzfQw4YSmyry43hTkk1yo8zAMcuMIEI58XhA/UnrRc2sNOn3hIj7ffHgq0uMgTTOm3t16xw9igiihbOsz0uZHRK1ssLpQYbfr4HoRugply2S+odCu3T3TmrrGN17fxglikDLCJGF9sQZYDCchUZyw0CqzOl9mrmFy5oSLYhilLLdKXHcjsiy7S2ps2EyNkEtn6yRxxnDi44Yxy3M1kZ4TJJiaUtzHmiKjqjKeL8jN7ZqJLMucWSgLc5b1Jo4XFYReEHWMF8SFgEvNydLLc6L+UBWRolO2NLojQZzQc3fNsRMUPbxBXg/1xj5RlBDmIrMwSuiPfc4t19g9mgpH4JrFyAkpWXpukuEgSxKKLLHfdVi/pyfjhzGDcSDSRYH+0ENTZFpViyS52xt4XJzc3yVZws/PeR8kxpphhp8GZJnYV+Rc4HCMe/dJVRHpECD6DyMnLEQc/bFPu27RqlnIspQ7fUoEYcLUDYnTrEj+sQyVV59r8/13DzkaelxYrbO+VC32/cWmyQ+vddBVBdPQhFFOTpiu2CJRaHDiXCbcidMiZTRORB/3uTN1DvsulqGx1LaZa1oYqhCjfu+dfYIoIQgTJk7IlQtNkjgTe6kiUbF1wihh+3BMEqdoqkzV1pHmypRtnf7Ip2SpnF+uouVr82gacHWjT8nUiKKESRgTxEkxG4qTlGsbfTpXltjrTDF1GVkSicrNmoFlKvzCZ1fpjnzRGzU1wjBG11VsU+eXfuYM72z0qVgar1xsF69/db7C116Teed2l2pJ56VnkEgxgxBjvpCnCpYsrSBVfhQc1/0P6mklSSrEVbpyn/BRkkRt4IeCiN0bB0iSmNuZusLEDfGCmB/f7DJXN1EVBc8XyR2KIuN4EW4QQZbhhyl/61cv892rh9Rsnc9cbvPDa13SNKNiaxz0HS6dbYh7ytSQJMS9qslcWKlxea1BtaTxjdd38+eSCaKUzsBhsWWgyjJplmJqMuVWCdeP8jQuGUtXGE4DRlMfVZbwk4SKJczu5hoWQRBTLekcDVwxSw1jvCBmrm5xaa3K7pHLZy7NFfWPSD2EIExZW6zMxNkzPBaiOMX1I9JUJDOWbZ12zieYehFxkjCYhsw3bNIsw/E04jhlN5ySplIu1JBAljA1hTiJSYA0k4TYXJVJUyH2mDgRtpXR6XsstkoosoQsif3RNhWuXGixfTClWhLrznGNrWvi/h5MPCZuREnXaNZN6hWTc8s1SpZGkma8crHNta0BEydivm7Tn3o0Kyafe2GB8TTE8WNqtk6jZlIvGw/s13+YM+zxe2ibanEmqtj6fcTsj2s+8HFgbaGCZajCHC9P9Dxef01DfWoS0qM4wfVn/IkngbKt88tfWOOdO13qZZPtoylBJNLkLEMRXIaqwWgasDxXL/p9WZahqjJVSyNNxbm9ZgvOQ2foUsq5QY2ygetHVEo6e93p3YTQKMXxouL+ubU1LAQcALf2Rqeuc6Fpo6mySCevmJiawnff3cP1Eq6ca/Cn398hjBJkWUJVJb72mVW+//Ye8y2br7y8wmgaPPSePYkoTphv2Ix1kWzVKJs8v95kMPGxDJVWzWKnM+aw57K2WKVdt3JRaEq9rPPO7X7xWK4Xc+V8s3COn6tbxIl43Q+af/zt37zCv/n+Jn4Q8/OfWaFkqkUt5Ycxjh9z1JtSsjXKtkarZub3jYqmKgwnPlM3Yr5VKtJKQXAyJl6EhPTAdenimQZplrHfczi/XGOxVcILRDrsT2IWchJ31wJ1liL8KYGmKrx47tF6308rvvXm/cECtw8GnF98QrGFHxKWDieDiYbTD5cA8STx2197jr2Ow37X4cq5Fq9cmn/Sl/TYKFkaL6w3GU4DSqb2oQWeT2xyW6lU6Ha7D/zZ7u4urdasIfS42M5Vl6vzH7/6/NOCuYbFf/6rz/Pf/fE7/KM/focvvLDwVKqjZ3i28L13DvgPP9omy6BZNfm933jxsYQcjaqJ40cFmebW7pAwSklTcVB68VyzKPi7Q58wSpm4EWmasTpfJk4S3rw5oD/ykSX4zPMLrC1UOLMgYoKPhi6dgUutZLA8VyHMnfC7I4+pE3A0EMTeG1tDvv7ZVSQJNvbHjKYBriec/6olDT9MkJCwDJXdrs9gErLXddk5nNBu2pDBt97e59e/co71pSoHPZfBJCBKBIHU0BT644A7+yOmuTOgYSjc2h7iBQljN2S+aSFLCj/qTvLDhsRrz7VZapdRVVkQzXO3UUkSLn1n4xqdfu6OIfFAUpIfxvzwvUM29iZIwPmVKp99fgFdU+gPfbJMDF6jJGOpVUKRZZpVoyDEZQiXIFVxkWWJ59eblC0N14+4utEnSfLPar35EydlzfB0wDJVltsVltuCRPEwcpxtCucYy1Rx/RgjXyuOSdiPirKlUbY0RtOwiDzdOxKkhbfvdFEVGV1VmKtbpwQltqnSHwsHzzduHKEpMt+7KiJNzy5WMQ2FF8+1uL074nvvHkAmiGa/9qV1HE+4ToVRidu7I+yyOOQfn/P1BwxnQBzkTrpSnF+psb5U5t07PcaOx9HIIwhiDEPBNlT+1q8/zw+udfjR1Q5plnE0dPmFsslbN7toqoyhqfTHHvMNG8cTRLUkSfnGj3YIoph37/SwDI2pL8hfhl4hTkJWF8qULZ29I+fU5/a/fPMO//M3b5NlUC1t8H/5W5+jlg9R4iTlzv6YIBTR0lGUgiTU+Kqm8KP3OtimaJY6XsRSu8w7t7tEccrVjQEXz9T50ktL970naZpxZ3/M1I0Y5d+X+YcIPj4O6JoQ/83w5GCZwuUwTjL2ulMh+smy/B4SjrtTN8ILYrIsJc0y4gTkPCI8TTNu70+4czAhihOiNCFJxfDAC4TQI4xTVFUiQyLLMiRZYutwkgsHZC69Wqecu2FkWcb1LZHa4wViINqomAXhauwE7HSm+GFMb+QzV7dYnivxS19Ye6i44qMme7x+rcM7t3uAIL8+zLHyJ42T7xUIwcpHca1pVM3Z+WOG+2CbGoNxQJZlbByM2ToQro0TJ+Tsco123eazlyt85+0Drm0NSNIMxwuZeiGJ2JoAkdwDQAaDaYSpS+hqSn8cMvUSshTadZP+JMCPEhRF5jOX5h5ZXGGbaiHMlCQeWvdO3JDNgwlxkjFxAy6tNfDDhMtnG080gWY4CbixPSDLyNdOGUWWKdsaz59tfmLDiyRJeXejL8itElxcrT9WqsPHgZn71U8eS+3yA90hdzoT/vmfXyeKU35wtcOFlSoT99jNLWbrcEqagiwJwp+mCCFCECbsHE7IMnE+NQ2l2I9kSSIIYyq2jh9GXNscEMciIlCW4Ld//osATL2Q//f/cpWJE3Jje4jrxVRtg6ptcDTyadasQgww9aLC3a1kC0Jymora5YX15inSVq1sUCsbhXj0ON3jpAtXrawzmAaFOKN2Ip3i3tr4JNlC0xS2OxPSRLweRYGJmyd6yoIA7uW1+sn7Stdkdo9EzSVJEhlZIUQ7dvsHQTY/mVpn6MpDyR5jJ+T61oA0zdA1mSvnWw8dPpqG+kj1t2WqxXPLslScDz8Iiix9rC56x/XOscNhvawzckT6oWWovHiuOSOlf0S4fsTu0YQoSoniFE1VqVctJDLWFqt5Qk5KZ+gxdSPiNEVTZIJmQslU0TQF29SYuhGDsU9n4FGxDdr1YwGIQpSkXNscMHFD9vsutZLOxTN15uoW3aHHd945YDD2SbMMU1N4fr1VJAOWLI0oTrm9NyLLTU6qls4Pr3ZoVA1aNYvnzzZyJ9zT5AjR31BQ83VCkWXmGzar8xX2jqaFy3bZEqTKvSOnIHLaJ9aSY9KBbaoEYVzsy6oqYxviZ7WyQW/oMXICkiTjaOCyeTihM3DxgxjbUCEnNR/f5yDOxJZx123TtrRT95v1mD0ZEH3Eq3d6uH6M40c5cVTH0EVfZUZUmuGnHTd3hoVYcXmudMp87uQ+6QdxcW/quowR3r03T/ZLGxWTRsUkjFK+984++12HKEmZOHVqFZ2qbdAb+XzppaX79qxbOwP+H//T24wnAWGc0KqZzDdKNKsGh32X23kqYr1iFOYnqioXZOogSng3d+0fOxGr82UsQwg6z8xV8lSvgOubAwZOQBAmaIrMwcChWbVQZZnPPT8nzDfCmO7Qpz8W5jMVW8cyhJlMtaRj6irVkkmjYhQ11lzDZOtgzNgVZl26pgiRqywjSxJk8P/6V+9w0HNJ0oz15QqGrnB2qZrPmcC2dN653cUPEvZ6Dr/2pXVMXWG/52KoCmGc0hsFp3o7N3eG7Hdd9rsuUZzxlVce0YFohqcKFVv/2M7hJ9NqltqlU4LSOEl5904PPxC1+cUz9VOiEctQKVs65fwrlqQpt3ZHkInafeJEvH69w9gJKZkqv/C5VQxdkCFlSaIzdOkPPTb2JyJ13NZZbNucX66TZRLdoYcXxBz0HOoVg6t3+tRLgmRqGSpBmNCuWdzeHTFxQo5GHoamsHkwwTaF6dTz662i56GpMsutMn6coOxPMPWMIMqIJj6TW+IxR06IqshkZJRtjcHYxw1iXr/egQwcL8ZdrbJ9MKFZM7mxPaRs6+x2pvwXv3GFalmnM/Do9IWQbXM/4/LZxsci0J7h0w8/iHn3Tp/d7pSJE3JmvsyZxSrrS1UaVZOjoce1jT4/eK+DpiqkaUKjYhLk55E0n0EEoTBuyJBIU4ksS8mQUGVxVlYVkdh00Hc5uyTM0o6/omGUMJgEvH79qEjGuny2UezDhq5wdaPPG9c7vHHjCMcLMTWVVy61+bnXznB+pVYYMYDom291JsRxiixLfP7FpVMiwpvbQ/pjn8HYPyW0XF0oY+kqN3eGj3WG9UPxHh4/3wvrzQea5X7c84GPCkk6bdYWxWL9PZ5jXnoKEpFP8ScUwXWZ8Sd+ckjSjL2eg6lr+FFCEIiE7jQT5iqGrnBrZ0iawdbhVIi5EN8tCTgc+kWv0jA0Xn7OKL5TEydkOA3IMojHAbWLd2uM48c+xtJ8+VRqbrNyf3+6WTWLft5bN4+4syuMq+MkwfMj/BMJwn/8jVuMpgHXt4dYusZnLs8/0ndd1xRMQ0FTxfOXbI2SpRW9zcO+y1++sUeSZNzeG/OrX14/dY+d6htqCiVLp5Qb4Zw8J5zkEB3DNFV++2sXir8fr2PiZzL/7nubuL44D331lSW8ICZJMhRFwjZUfnhN1BSVko5larjHdYoms3M4Kfqsxykex5i6IWMnwtI1ukMfSZaFCCTjE5+FnMS9a8EL55ozg6lPCR619/204oW1+w15nzUBB0C+NBWYaz57c8B/+Zc3uJEnin7vvUO+eGuBxda5J3xVj4+yrT+SOdf74Ymtjl/+8pf5B//gH/CLv/iLGIbYWCVJIo5j/uiP/oif/dmffVKX9sxi60Ckl6wtzJI43g+/9bXz/MXrO9zaGfHf/JMf8n/9O1+ZOcrN8JHwxvVO4cDeH/vc3B3y4rnHE6KdjOjc3J9Qr+ikKRipTG/kszJXJk3FMDUM46KR6PoRP77VpWyKBAtZkhiMhZhjsWlzNPAwdZXllnD+n2uYuH7E2AixDIWxE1C1NCRZwtJVdo9cLEOnUTEwdQU3iKlaKrIiC4cMUyUIEobTADLRyNw6nNDODzITJ2S3M2EpPySULY0wTqjYOo2qLmL7MrGBPXemzq3dIbqmUCvpTL2Q7iCgXtFE6kfufjnxIuaTlMOey2cvzyHLgqCy1C5j6ipn5sV7kyQZ9arxQBJaf+RzNPDyRhQcDX36Y+HS+YUXF1FVmakb8YUXF9BV0Wh68XyTt2508cOERtUgzMUjaSqGxGWrRmfgFQfPOE7pjrxHTkOKkxQJZkSITwkaFZOzSyL6t1rWH5rAsNQqEccpg0nAV15ewo8SVEXi7In4zMfBpbU6O50pBz2HpZaNJAmn2ShJsUxBxEjyVA4Qw5U0y9g6GCNJQmDRG3uMp35xzaNpwLXNPmmakWWC8Ljfc7iwKp4ryzJeuzTP2A1ZbpUwTYW5RomXzrcIwxhVVk+RvBVZ4vmzDW7vjtFVibXFKl4Qc3mtwfbhBMcPKekaliFc87pjn6kTYuVEUUkS1zDxQkxdpWSljKYh9bKBIUnsdKYMRh5BFBNGiWiUSILERgolQ2WxbVO1hetxhlirFpo2FVvnmz/eLdaGsRPyV2/v82tfPo8iSwzGQZFk9Jnn5nn7dpeMjLWFKqamstWbEMU6i60SSZqhaSKdpJw3b25uD3jtuXYeBXu31nD8iKl7Vwl/0Hc+tIjDD0WD5kECmhmeHlRsnQurNV6/1qFZMaiVdPrjAMjIspSSpXHYd1FliUyWiaMURc5QVAldFW5VtYoJacZcs4TnhQynEZWSWTQxF5s2iy2bvZ6LlKZUyxaGLrHUKlEtG4TJ3X1s6oXF0GE4CXCDiEbFZOQEhGFCGAvhyMbeGMtQGbshal/OXTA/GcHRta1B8eeDnsNw4lOvmCRpRppmT4wE5QVx8V4dX9uTHNLM8OnEcv6d6o08wlDcf36YgASOF7LQtJCyjDBOKZtCSBxFCYoEKOQDSgXXT3LC8t0YXTMnKyy1S4Rhih8mrC9W8MMEJU/VCuOUOI6xzfdvMK0tVoVDZZjQrlsPbbh7QcJ80+ag56ApMrapkaYZnb77REUch32nOLcd9B1aVZNqyWDqRky9iOonFPs8dsLCnZxMrCM/aRHHDE8P3rh+RJQrrvwg4fVrR5zPicYHPYd6ScXxUyqWRrtpkaUSiiJRtjXCKMUPIiolg1efm+Og52CaKi+uN3j7dh/Xj0iSBJCQZZBk2Dnh0vbeRp+JE+bOzfCddw74+c+skmWZcLb0QkASbta6SrWk5/dMhp8naSqKJBLeFFHbmrpw6otyN+lf+sIa33nnAF2R+OJLS8RxmifgpKwvVdnpTFEUmeUTApd7a2NFkWjVLfwgwjIs4jjlaOhiGioXV+sc9Fz8MGW5ZdOomURxiq4pnFmoFC6e7bpVJEsYmkpv6DFXt0lJ6Y98woWk6B1cPttg92hakMpPvp6TNXyn75Lmi2sYpfRG/qkB6ftB1DPpfaKP8ys1djtTojhloWU/MUc6x48LAQfAe5uD4rV5QcxwGszEYB8RnYGLpaskcSTOun6EbQkn+M7AQVOFAMpQFRwpQldlNEWiZKnoqoKlK8iSjB8GyIromR30nELEYZuaMIrQZOSScHwX39mEkmUiyRJRlGDo4rEcP0aRJdYWqmRpCsjsdqa4XkSaZfRHfnEWHox9GhWTzsA7NYxy/RBdVTm7UIUs46uvLNEb+9TKBp+9PAfAfu+uicLW4YSypdGuW/ihMGS4fLbO0dBHkaVi+Hthpc6uPqViizWobGuFadUvfHaFb711QBilnF2sMPUjkfJhaoymAeW8B9If+USLSXFPqYrMKxfnsAyV/thnZb6SEzpjmlWzqE+iWNRHj0JmGDsBrh8X71GSiziCMGEw8WcpmDP8VOM4/eYYBz33vp55kqSkmTivXFprcDTwWNRsLENlOA2wTa2YMZyEaSgoioyiyMINuO+QZhlV2xDndye8r9b+9o/3GI59kjTN79mAlXmRMDSYBNj5+uMFMXMNS9QSNYuJ42MaGv080RxgsWWTpBnVss7KXBk/SgrxnWWpHA5cNEUiikVaSJoIYW5/HHA09PM1RyNNRfrA+nIFWRJu6EGYMHJCbF3hpQtzRU3yc6+tsn0wYTwNaFR0ypZOGCfIksLKQokkTjga+iy2bXoj4Sj817+6jq7IlC2d9aUqN7aHVG2dkiXIX5sHI5bb5WLORCbOSMcijjBO2dgbF+/h7d0Rn39xEX0mUPupRRglhYADxNnlpIhjNA3wgzwlRpY47LunRBwLzeMkAOHQ3R0Jl/0wTqjauhA+ABVb1DRRnPLC2SpxkhJGCZahoqoyUZKiq6KXsXfkcH65zk53ytnlKtc3B9iGRsnQsA0FP4y5sFojzTLqFZMwPzcMpwF+EAsBaG68M1+3+fpnz3B1s0cQpXzu8hylksab1444t1TFjyL2um5Oahf3wfpSFT8QtUSrblG2NIbTAE0WpHdDg6ORz8WVWmF0EUYJji/x1q0jvvrqCgddhyTLyPLUcMePT5E/HxdpmhZu109TyvEMHw+O905NlTkaiplYb+ijyDCcBqT7I9o1YbBwNPA47LsoMsRxIvbALGOubpGREviiHzh2A2xDR1Nh6sWUTIOyraIpKiVbY65ustyukOSmVL/55XNsdSakWYYswY3tIYYm0mvm6jaKImEZCstzZbIsYzQNuLk9xA8i/CAlyxL6o4D3Nvsstix0Vc0F7dAbeiI5N0zQVZnh5O6ac5zOB2KP2jwYc+mMIFsedN08RUD87qOeYfsjvzCfi+KE/e6Ui2fuJ3DeOx/Yf8rmA4OJX5hpZJkgpD9pEcfR8AR/Ikk5Gnqn9owZPlmMpwGeHxOEEaqiMJwE1EqaSJWyVAYTkVYbJSmKLIne1NGUOIELKzU29icEQYKiysiyEGbudiZUSwZBFLN5MGbqibT5s8tVmjWLIEhYmiudmlUvt8v8p794ib/40Ta1ks5/9teeu+9a0zQjTsT+/N7m3RmhSP2xhbBallEUie7QKc7sP7rW4TOXH82tXVVkLp9tsrE3xtAk1pfrp35+Y2tQfF+DMOH2zpCXL84VfbzL6w02dkdkWca51dP/tjfyinPCSQ7RgxDk65gXRshI3N6bosiS6OPIErd2xyy2xLkkSTJ+dK1TcDUmTshrl+YY5ga6F1dr7Hfv8sv2u86pHmVn4BU9zChOubE1oJQbZ3zSs5CTuHct6H7Ma8HD+q0z/GTg+iGqqj6TZ8S9XnDffzvoTYt78FnBce1zjI3dCV979clcy4fFD64ecfwyshT+529u8Es/8+yJOD4OPDG219/9u3+Xv/E3/ga/+Zu/yS/90i8hSRL/+B//Y65evcre3h5//+///Sd1ac8ksixjc1801M4u3a8Ym+EuFEXmv/rdz/F//vt/wY9vdvmn/+Y9/tavv/CkL2uGZxi2qTKY3N3kK/bjN9g0VS4O2GmW8YOrh4RRim2qrMyXcf2YP/3uJnf2hTNNraIjSfDmzS5bBxOiKEHXFUGAHno4XoShKSRpmrvL6pimynASctBz0VSZs8s1emOfKB7j+TGdocdfvbnLnf0RNdugWtLwAomJn1AyJTRVRHGHcYTnx2RZhmlqKCeKsjTL2DtyOBp4heOGrir8+Q+36LzlMZqGXFqr5w5SNiVLozfaoTP0cNyYqTcBBPNsfbHKXNPG8SNu7Y5QFInFlhhEiJQSD9NQee9OnyBKcIOI7shDUWTOLlZPkehVVUY7IZZQFakgg6qqzBdeXHzg5/Ll3F3qaOBx50TE4/G/vbcg1R/xgLB7NBWuppJo9M4Gu88+4kQ0RV0/JopS2jXrgaT60TTg++8e4AUJaZZxYaWGrik0q/cPGB8FmqoUkcPHg7XhNGA4CURDM+MU+SAIE44GHlGccTTwURXxu64fEScikeNiQSJzybIsF1eI4cT6UpVqST9FZlpo2czVbf70e5tMnBDb0viVn1k7Re5453aPa5sDkjTl2taAZtVi6kZcudAGYOJGxesvmRpIEl6QEMUJg3HIQd/F8YXTnSJLSBIosnCZOOi7uH7EYBJQscWgRNdkFFcWQ5HA4qDvkaQZfhjTHYiGioRHvWJiaAp+mIhmRgb9UcAb1ztcWmugKhI7nQmuH3PYd6mWdHRNJcmEY4SaD41BOFxfWW/xXu4oEScpEyfkxzd7lCyN5084EGmKLGzT8xPJo64d9+Kd273C2evli21efW7uQz3ODD8ZtGoWy3Nl3rxxRH8cIEnia7Dfc9nvOiRJSpLKaAoosri/ZUkmSTO6Q5/OQAwpbEOh3bSxDAU/iAnjDNtQkCSJo4HP1A2ZuhFHo4B62eCl823KllbEEr+3OcAPYg57LktzJVRFKr6bqiyRqnJB/o7ihN7Iw9BUvFb8iYqFTF1hGt9N29I1lcHY59buiDTNmG/arD+Bc46qyIUrKDBz1J3hE4EkCeJiu26xczhlrzsljGK8IKE78vDDhI29Mdc2+/hBQsZdkQcIwrOmCgfWfKYKgBdm7B65qIqI5750tkWrYtCfiCS6iq3g+TH/vz+/TpJkrC9V+dnXVh56nYosPVKTXVNl6mUDWSIfGIsLfdTEj08KJ59fU0QKBwDSJ3tv3/vYH3bfn+HTgZP9AlmGlIz9rgMShGHGcCocJadexPpyjfVlMfjb2Bvxr799hzBKqZUNfvVLa1RLBrIsMXQCOkOXJMkI45g0F0AK44UTTvO6wn7PIQiFCGxprsytXeFUWSnpHPQdxtMQQ1dYbpeK4d9g4guhQSKEDSMn5K/e3AXgyrkmsiz6GZahsnM04cc3ukJMRsp4GuEFCbalUrUNXjovav7KiUHhvbVxmmb0RmLI5wUxN7YHDCYBiiKz0LBo1WyyTAioa6W7Rg4lS+Nc/n71Rh7VkkG1JIgL7230ubY5IEP0TT/3wkLx/KahciE/AwVRwo9vdsXrMVVeWG8WJC1Nu+defsQ1beyE3NgWA+Fm1eTCaq04T6mK/FT0cVVFOvUZ3OuQ+aTX708DKrZwapSQ8KMYJIm9rsPt3RF67lobJwn9iX/cFiOOycnIhkjmjROiJC0EiPeSkhZbdnEO7419fvDeITd2RlxYqXF2uVKQIE1NYa5hMXFD/s13NpAkIWb6qzf3OOg66JpMs2ZRr4j7pzjH5vtZHKf8ux9scTTwCOIEKYMwJ1K8fKHF2aVaIQzVVDkXl4k/K7JEs2rieBG9kce1TZHod3zvHv/ew+p+29T52msrgmyQQTRKkSWJ0VSI1OM4pTcWYvB7iYu2qVKyhCBu6oYst0tUbFHXnHTXVRWZS2cbH0ig1BSZve6UqRsxzj+nY8z2+hl+2nGc8nlMHLq3Hu6PfW7lbtkLTZuzS9VTZMO5h/TKNw/G3N4d4XghEjB0AqI4PbVv3ftcb9/u8sPrR/RGPrIs7t2KrdGsWlRsnckJIelxLfHunR7/3b98m8OBS7tm8ZVXl9CUu6IwSRIC2Kk7YHWuLPbQFHpD/26PUYL+OCApifdA1xUcL2JjfywSff2Q1fky/UnAcrtEu27x6nNz3Nkb8+239ri5O8Y0ZM4v1zF1heHUZ/twSpymVGydX/7SGr/6xXVaNYv/5x+/w3ZnSppmQhiyVOW773b47tUOX3h+kcvrDc4tV7m9e3e+YRvaA84pJ+YnMqeSlXVVYdYO+emGIkun7ut79zpFvttHV2SJV+7pU0uSdErIPXHCQowKUDJ1Rk6AJAkBu6bJ/Ktvb3DYc0Qqnyyx3C5RtTWyVJStigx/8foO3aEnxKlLZTb2xnSHHnGasdC0sQyZtYUaElJRzw+nAT96r4MfxuiKzMXVOrapoekya4tV3r3T54/+9BoTNyJJU6IoRdPE/VC2dTEjUGXm6jamrtAdeRwNXHojH9uUBSFdzjjqJ/iRcAw/fq1yfg44Pg/5UcztHUEMrZV1Xnmu/aE/Iz+M+TffuTuj+aWfWaP6BI00Zvh40Rt53N4dkWXCrE2WRAr30cAlSVM2DiZ4fsS/+e5mLhYUou/BOCCMUzEfizI0RUZXVc6sVbENjR9eO2AwDvBD0W+UyFholmk3LC6t1ekOfYbTkCzL6A5dtg+nlG2Nr392le+8c0B/LARc1ZKOJMvc3h3T6Xvc2h3Trpn86Fon722K5A8Qe/GNLZHso+sKf+1zq7TrthBhmVpBND5O6oPTa5AiS+gnZv6aJn+o8/qxeGQ4CegMXIaTgJKl3yfQEAYPd/utTxtZ9b79/Ck4vz+N1/TTBEWReOP6EYOJj6JImLpCb+wTJxl+lLCsq/QmIqUzCGJW5mxKpk7eSqTTdxg5IUhQMlW+984B3aGHrivM1S3Wl06IFCTpLndnKN8nILq5PSCMhLnl1pHDi+W7XAjXF2nCUZwWqZbHfClZFgYvy3PizH40cPjWW/t4eYpfrfR4QqW3bhxxa3ck+AWKwvmVu6/BNE5/P9M04/VcQNGsmXh+xJs3uwDEacbLF+/WOPfWQ+83Y1BlidevH3JrRxhtnpkvo2tKcX+U7+GYqYrM3pEQzZm6Sqtm8lLOqwijJOdx5Nehvf912Cf7fJ/wLOQkHuf9eVyMpgE3toekuZnPyc90hk8e//6H2+x2piiKxNdeXWH1GRPqtRr3izWeNQEHQJqe/vti69njHer31HD18k/v+eWJVZhnz57lj/7ojzh//jx/9Ed/RJZl/It/8S9oNBr803/6T1lensWyPg66Q79w0HpUF/ifZpxZqPB//BtCfvbP/uw6//pbd57wFc3wLOM3vnKOpbZNtaTzs68uc2bh8Qfwz52pU7Y1LFPFNtWcHCzlhEyPd+90mbjCeR5JNPpURSHLMuYbFpoqfr9WNlAVmaV2iTjJsK27cYAlSyOKU5bbJbIMkjjly1eWmG+UCHInG02VGU8CVE1muzPFMhTSJGX/yGHihNzeGxElKa2qiaLI2IbKz726wmJLONqfX64VxXcUp+wdOWwdToo44JKlst+bYhkq68tVVuYrrC6UiZI0d8IXk2pFluiOPF4636JRNjB0haVWiTdudIsmcX/kc3N7SBAJB5Gdw6lwwshEMlF2QnY6V7d48VyLdt1irmHx4vnWY7lItusmCy0b01Bo1y2W8mbzYqvEXMPCNBQWmvapuPGHIYpTIeCA/Fonj3wdMzy9OBZwgCD+nEzXOYm3b/Xwckeq/a7Dblc4Qh8LMT8s5upW7twq5+5zOroiM3RCouTuvbDXdfKkCqjaGrIs1pmSraMq4t8OpwGLrTK1ko5lqCzPldG1u4f7ZtVkqV3CMlSaNZPVuTLXNoWrL4DrRbx9u1f8/tQNuZa7Z4ymIde2hmiqaOTEccLnX1jk+bMNKrbOq8+1WWqXxUCmpGHoKu38Hltul7ENjYVWiVefm6NS0tnrOWLtNIS7larI2KaKbWhIgCzLBXG0P/LYO3IKR4yJG9If+fy1L5yhUTEwNIWFli2c+JKM7UPRGLEMEdseJimqolCytbzpkHHlfIu1xQq2qfLcmTq6rvC1V1eolfWCCAPgeBFHQ694T0xD5dxSDctQqZZ11pcff99I05Q3cgEHwFs3u4R5KscMTy8kSSq+U4auoOsqUZKiKjKmoaIpYjixtiDca1RFLoYJx3CDBNKMNBPiSV2TQJJQVYWRI1yXojghiBJMXeH6zpC1xQoVWxduOrF4vmpZJ05Szi7VuHKule/NNV6+2GZ5rsTyXIl61cyjhUV9cnz/fBL42VeXadZMKiWdr766jG2qbB1Oin2/kwu2ftLQNYULq3UsU80TVeo/8WuY4acHhqbwxZcWObdcpWzrLLVsZIQ4w/Vj4Y6lSCRphqELgaWEhCJJqLLCw00WM5IUpm7AYsvm7GIVy1TRVOEQe+yGtLE/5mjw4BrmcXBxtU7F1u/u2bZOs2ay/ITjlc8sVGhUDSxD5bPPz7M0J+qZ4z35k0LZ1llbFI7f9YrB2aVZz+anGV9+aZnn1upUSjqX1hp84fkFSpZG2dQxDGE2oOWmA6W8R1C2NTGkRAxivSDi3Tt9QAwWb+6M0BQFTZEpWybNqoGmivP6a8/dTQk1DJVWVYiYSzn5yNRVdF1hNA3oDYVgNAgTHD8qehRrixVKOZHK0BSub/VzxRh8+619prmDc2/o8t23DgBBbvjT727jBWL46noxC22bSkmnVbP4uROCsXtrY0WRinVp78jBC0SdrykyE1ekiuqaQrMizumWodKoGqdEZq2aVZxZWjWTNMuEuYMqM3XDYih8Lw5ykQsgzC76d9fE1bkyzZqJZagstUuPLMLf6UyK19Mf+6cSL54WmLrKhZUalikSWL788hL1ilgvj+vIGT4a/lc/f4H1pSqthsViq8TZxQqyBJIsISEcahVFpGlKsjg3NGomZUujM/CZa1hIsoShKdQrOl4Q3yd0+PwLi7x0sU21pDN1wkKEcG1zwHDkc36lRtnSKNsaL51rcZh/v7MM/uz728SJMCuIkgxTE/2v1fkK55drtE7s4xv7I44G4ny7czBhpzNl5IT0xz5HQ5/tzoQkr+Evrt7td372+XlW5suYhkIQJdTze+ho4BXryKPA0JTi+3p2scqFlSpJmuYJWzp+kLA8V7oveXvshEUywPGZ/xjDSVC468ZJyk7ng3t1SZphGRq6pjDfsKiVxT2zMl8uBDAzzPDTCjUnRR/XMc+dqZ/6uejdiz8f9l284IP7WcdmFCVT9Ab9MKZs6Vw8I84eiiw9cM/69lv7lE2NsqUiIWrzL720xHK7zKW1Or/yxbNUSjrtuiVSk8OYH9844qAvSFG9sce1jQHzTdGfLJlqIaZP04zDgcu5pRqDaUDJVKlYGooMhipTLek0KiZL7TIVW2e5bVOxNYIoJssE8cjzhbv3YBwwdkJev3ZIlomkss39CVM3pDfyub41AlkiQ8L1I4IwZnNfrFXNmknJ1DA0maqts9PJU5Ay+NH1QwCxBs+J63jxfIuzS1VsU2N9uXqiP3mX+CTLMj//mRXqFYN6xeBrn1meufr/lENRZJ47Uy9EkRfvua+TNMM2xb5oGSqS9ODHOcbaYrWoN88sVPhPvn6RhaZNrWzwC589w+a+6Al2Bh5HI5+KpdHpu7xysc251Rrnl2sstcoMpwG1shB239waYWgKkiwEmkEUkWUSg4lIqFloWjSrJt2hh6WrNKsWsiITxSmffX6eqRuRZUIAPvWEadxgJJK6J9OIubqJBJxfqvHFK0ucW6lh6MIgaq5RwjREgtrz6w0UScYyVeYaFqqq0CybXFipMtew+MzleV7JCaCKLFILDE3BMrTi3PBhcJy8CGJG805OOJ3h04HNg0mxd+53HYJIJNsttkqEYUIcJQShSIEajAMGY5GaJyH2K1OT0VWJg57LC+tNVubKGLpM2TaOtzUkSSJOhBGhoQkydRgl6JrMyAmK9KapG/HuRh9dU1hbqtKqm9imhiJRnEE29kdsH05yk4gyjYrBXN3k0pk6zapBtST6cGGY8MZ18V19bq1W7Otri5WCrAyn16B6xeCrr64U/fqLq3XOnlhTHvUMO1e3mG9ajJxA7NlVk+3DCUlyegaiqU/3fKBRMVmZL4uZbdUsUgyfJBabp/kT84/An5jh48NgHJBmQrSlKTKdvoemKSiymCOqskzZErVjo2bi+olIvFBlBuOAjEwYoioyw2lIN59vh2FCFKfFPXbxTB1dlU9xd072vG7tDLmTG1DGScY3Xt89dZ3HnAUQM/sX15u0ahaVks6XX1nilYtzRd0x17ApGQqaIomk0scoS4/N4kD0P16/dnjq5688N8/aYqU4t+iaUrym7sDl+1cPiz7omze7hcgZoF23WMw5RK2aWXCIHoSpF3A08FBlCVWRmfoxX3ppkWpJZ2WuxN/4+oXivplv2rkxruBqLLXsU8J1XRNClON16V4Bw/JcmVbNxDQUFls2r12ep5o/1ic9CzmJY/7U8Ws6acL7UXFyftwdekzdp6/f+mlFYViM6K+9cePoCV/R42Myur8PORgMHvCbTzfuPTmcTNN8VvDlK0uFYYShyfziF9af6PU8STyxJA6Aixcv8g//4T8kDEMGgwG1Wg3TfHwX6hmEAw3Aynx55g77iPiFz51h52jKf/+n1/m//48/xjRUvv65M0/6smZ4BtGsWfwXv3HlIz2GbWq8eE6QK1wvOhUzLNz4xParKjLtnIwwmgRFYWoYKo2KwdpCGUmW2emIBsvLF9tcWhMk4ls7Q4IgwcwbGBdWa0zdiK+9tkKSpHRHHt2Bh6bJLM+XmWtYzDdsNvwxGSJafDQNSZIUy9KwLY35pk2zZvLVVwUB42jg8K++uUF35GEbGpfO1rizO+bO3pildolGxWSxVeLli6Lx4gUxr16cw3EjDvtT7uzHyJJE2dLRVOEoOhwHnF+uYZsa4xPFd3fksdedMhgHbOyP2O86GLoY5F5aa556fyVJ4txKjXP5AaY79PjRtQ5JkrHfneIGMQsNm6+9tlKQZV0/4tbOiChOWWjZRHFKFKeEcZILRITrx0m3wEeBJHHK4fKDmtkzPBtI04wf3zxiOA0oWxq/+IU1kjTj1s6QiRsWjT35HhLB8V/v/e8n8d2397mzP0ZTZZbbJQxNZXmudCoWU5Ikzi5WOTNf5t07vaKZK0lCsdsbeWweTOj0XQxdELyaNYuFps3G/pixExQHZ0kSgqvjGNLOwOXHN49oVEwunqmjKRKb+2N2jqbUSgbL7TIZGRv7Ij7VNlTOr1ZJkpSbO0N6I4/+xKdRNsiyjIkTcHNnyEF3ShCl1CoGv/mVdc6ecO4oWTqfvbzA1A3Z6zqcWaxg6YKc9dyJOOMfXTvMid0xVVvnCy8ukGYZZUtnOPU56LqkWe5EnCd4nHr/ZeHW8eWXl5m6EZ2By8b+mIqtczlfO1s1i1bNYq87RZakgqz10sU5RpOA772zT5JmdPoutYpBxdb5ja+eZ+dwUpBijj+jk5hrWI8k/Ho/yPJdgpsk5S9ohqcOvZHH1sEESRJ7y25nihfGVGwdCRg5wulKlmWqZYOvvLRIo2blAwzhljN1Q6S8SQjCWW04CYUARJZYaNqUDJUdPyaKEsjEEHDqRxwNPDb3x/hhwtu3e+wfOVRsnXrF4LVLcw8UNR4nRA2nISsnmo7vt1Z9VLTrNr/xldPxmPfes5IkFftzGCcstUo/EVJ4s2p+qLSkGWb4MGjVLH7n5y+yvnREEMb82+9uMvUEccdxIzRVOTZ6pWRpwsk/hSjJBBE0y+6L0E1SyNKMiq2jagrnmiXKts4oT++ychF5ECZc3eiz3ZlydrHyWKLnk7AMlRfONT/4Fz8EDnrCdSuOUl662CrOUI8CVZFP1RE/SSy2TtduP2n86FqH61sDLEPl515boTFb054YdF3hP/mF5wBIkpT/8KMd2vm95vgBSZoV/yubGi/npIXX3ztk7EbEcYqhKygn9khZEgLfJBXGCHPNErWyiarK6JrOW7e6hFFCEqdEsRCUy7FEGCdsd6bijK+r2NbdNrFt3O1RHPQc5htisJFmKXf2Rhz0BDlQVaTiTCMpEtI9tcLNnSF+Xvd85nKbK+cfnBy3ezTh+uYQQ1co2QrvbQzxw4SSqZJmKWmakUgptqqdMq9ZmSufcuc8iTMLlULY8f2rh3cTMKXTZfNg7LORi+rv7amerH2UnJB6jMO+WziOXVitP9S1X+KeM+AnWE99FByfe45RWZsJNz5OlMsm/9u/foXrWwPeudMjTTPu7I9F7Z7m6bGZEChUbYNaRS/E32maIUuScE7MwAsirm31ubY1YLFlc26pxoXVGvtdl9W5Mj//mVX+m//P99juOEL0rSoYusrZ5RIScHWjzz/7d9eRZXjujNivVVlClSUqJZ0wSojTjDTLeO2SIE3c2B7yp9/bZPdwQpxkdEceuqow9ULKtkgYyciEMIWC38xoGvDenT5xJkggL6y3WEOY0xwbYcDd3sij4uT3VVVlJl5MmAuwltslYYJzD+49k8sn/v5+P3sYJEmiUTFo5IKNaknn+fVPpv6ZYYZnEcfk/wfh3nvuUZaAJMvYOxJ9fNtQObdSZ+2EgPOli20MTeFo4LHdmdAbehi6wubBmIkTUi0bLLRKfOmlJb740hIrJ3oJx7MKEOY8GTB2PIbTiCzNcJyQhbZNs2JimSpBENMZeCRJytJcmVefm+Piap0f3+ziRym6rmCbGhdX6yy2Siw0bZ4/2+D7Vw+ZuCGHPUesgRn0Jh6qLHN+pcbz600kWQbuik2PaxZFljFUGVkStYSp3SXJl22NV/LXEMcpU//uDEWR7qYoeWHMyAlwNyLIKPrLD0sJX2qX+Y9+9sE9l8HY5xtv7OIFMZfXGkUfeYZPN44GLu9u9FEliVpJp3Si/j3umx/3zz6Iq+CFMTe2Bky8iPWlKl96aYm//R/dnbNe3ejR6btM3QhDVzANlUpJ55e/eLYQFF3bGnAnr+OzTBjEVUo6lqkydkK0XCA7V7eIYtHvUGVRWyVpSpoK86WDvsNOZ1qQjJM0xfUigjCFTCRup4h0HV1XOBy4jPMkkbXFMm/f7nHY66NpMl+6sshvfPU8f/LtO7x5466I4tJ6g1/6mbP3vQ+Grp4639xbglzfGvDGjSNUSeKLL59eu+7FvQLWp/XcMcOHg4T4nh/0HBw/xg1KtGom8w0bSYb+0MePEuI0RZJEYm/J1tB0hcOeg64qZGlGJme5MEOhN/Lx/AjL1PDChCTOcImolnVkWWL3yCFNUxoVkyjKRFoOEkGUoMgSCy2bC8s1LizXUBSJqRuyfThl6oUc9ByubQ6QgEbuHj8Y+1imSpgIs5njFeT4uyvLMl96aenU676zN+IHVwXh+gsvLpwSdqzcI1Y45kM88nuaz1W7Q7/gW4gZ/v33zuPOB7714/8/e/8ZJFuan3div+PPSW/LV92q603b8dOYGQBDwpJckqAJkUspgtRSDIlfEGQsgwzKMLghOjEYS64orRQrxgIBiVpiuQQFYkEYYgbA+OnuaXu9qVu+stLnyeONPryn8lZd033bze3bk09ER98ymXUy87zv+zfP/3l22NgfUcrrfOWFxYlj4keFxWbhHfeHHzbeD39iig+Gm5s9Xr1+gCLBibmSEHDIzunR2EORZFQlRZVlJEXCzJzzdEUmiBLhppGmFC0NQ1NRZDHkGEWJcBBVhRBds2oxU8uRtzTKBYPB2Gd9b0gUJVSLxrHcXlXuz7MFX6lv++QtjSQTV/DDOBtEKPFzL60ee8yhs8flOx2atTzNmqivG4bC735vg/bApVG2+Mqnlh7pknP/eSjJMnd2BnSHYsjz9FKFr7y4NPn5q1f3J6+pnNeO5S4PO1lX5kqsZP92vICvv7rNcCxc9770/OKRxyqZE6twpzBUhR//1DI//inBUQyihFeutievab6R54Wz92Ls++sU99fxjkKRpWMDZ44XEoaC6xTGDxe2+SjwUe4F978f9+eYU3x0+CTEnMrTZ1jxUByhHQIPOgs9DTBNhYKlE8SJqH3fby/yI4QnxvT6t//2307+res6s7OzkwGOKIr4h//wHz6pS3sqcdhsXJ1770rOP8r4z3/mPD/7xVXSFP7Z/+dVfv0Pbz/pS5piCp493RQNQEmQfM+t1rm0VhN2uxKUizqGIbPQzFOwdGw3xNIVmpUcaQppIggOouBw78hemi1iZUpRh8WGhWZeJFlFA12VkRUJS1eRJIm5Wp6cpdGoWNTKwu1jvpGbkDJypiaazEcC4r4tFKOSOMXxAr731j6WoVGwhPq3aSh85sK9ZGOhUSBvaZxbqbI0U2a+KuyHFRlOLVaII3H9my2hiP+5i3PomowbRCRJykw1x80tYbkaRjHDcUB74LHfdR4ZqEexIJ1EUcL1rOkdRQnbBzZX7nYnv3dnZ4jrR0Rxwtu3Ouwe2MSxsErfbY/f9+erKjKr8yVkWUJRJE5OixifCPRsj7EbksQprhdx0HXY74zpj3ziOBV2vF2HF842KBd0VFXm1GKFpWZxck88DFv7I25s9omihLu7Q9682SGKEzb2RngPUamTZZnPPzOHooj767MX50CC29vini/ldHpDYVF8crFMuaBz7kRV2JFKsDJXZG2hzOp8CV2TJ6r3uqowdkM290bc3BqwviuKF52BK9wgkIgT4agTJwkSEjvtMQM7QFWEk47jR6iKzGKzIIo6u0PCKGE0DvjNb9899joO/34hp7GWKcKZhsLyfW5jzUoOJGEF26hYGJrK82ealAs6pbzBXCNHChi6TL1kPXQfRBIWzCli30xTJl/XSia1sgkSPHeqQb1iIkmiuVvK6XzzjR1cP6Yz8Hjl6j6+H9Mf+ex3xpP9FUk0rpuVD1dpRpZlPn9pfvJZf+b83MfOxnkKoUJ3e1sMBAZhwtt3unhBTBKndAausCCWhbOLhCigFnNGVnCXWJgp0ChbVIsmiizIg/WqRRynBFEiiNxpSnvgYBgy1aIpHD40BUUS6vzLzTxv3Gxz+XZH7FF+RM/2srX6zvj8pTl0XUGS4JlT9QeskD9qrC2UUTO78qVMTWp9V5zPcZyy1bKfiDvHFFN81NA1hZW5Im4QM1PNEUUJfhCjqTJBGBEnCeWCTpqChMzKbGHizHdInjwKVZGIkoT5Wp5KQc8GwTwaZWEzfWhDns+pmLo6ac7crzz3ccB33trFcUOCKObVa61jQ95TPBz7XYfLtztEWdz1vct7T/qSpjiEJJGk94Y28qaGjMjiFVmiXL537lZLFrIEKSmGpnBivoQkCXLU+ROC8JeQkjNUVEUizgaZ+yMP1xPn5p3dAbYjcukoitnvOESRcLZMSSc1h2Je54Wz94YtmtUcpYIOEhQsnbXF0qEAHStzJYp58bPZap6vfmYRJXMSuXiiOomvxeDxw2PVzsDlrVsdgihm5AS8fKWF74u9zvUjdFUhQZDYz63W0bLYYL6Rf+QAx/34/KU5VFVGUSQ+dW4GUxcDK0mSciuL1cIoYeyG5LJ8oVTQaT6C1OgFEXd3h0Sx2J/v7Awe+bdPzBcxNEW8R5mL6RQ/mljfE4PVzYrFMBvSNg0VTVOwTBXLVCjmdOYaFguNgnDckuBzF2YYjANkWcLQFfY7LmM3EkTlPZubW32++9besftxaaY0KddVizon5ot0hh5X73YJoxQ/TBh7EZ1sGOOPf2mNxZkCsiwa4SfmiqiyzM2tPhv7I8ZuyOXbHdoDjyCK6Y88oiSmWRWkgWrRYL6eY7aeZ22hPGngfvuNXRxfDFi8crWFkxGLV+dL72stPwwrs0VOzIraSrmgc/ZE9aHPV8rrQrxCEsMyK3P36guVoiFEFiQwdOWYs8+j8E7PN8UUU7wzjuX6s4VjqrKPwsD2MQ2VJBV1jZMLpck+uTwrztowirmzO2Aw8tnvOly722O2kkNRZCSE2/bp5Qpz76AAa2gKS80CSSJl/RWJIE65crvLbntMECR0+i5hFEOWezleSLUs6oyGJqOrCsuzJRplk3rZZK6eww0EYXY4DrDdEEmS2O+Pcb0IJNg6sLmz0+dzF2bRVSUbDKuSs3Tm6nl+7qUTGLpwUj+5WObkYmWiuPupczMUcqIGeXKpzE9+eglFkVBVmc89MwuIoe7uwKPdd9nYH7HVGj2yvvw4+M5be4zGAVGU8Pbtzofi6DjFxxteEPHdt/cIghjHj/jWW7vHfl4pGpN84mF1/PvxyuV9eiOfKEq4udk/5pAFou4vyfLEaUZXFT5/ae6YI8y5lSrnT1QJo5g0ha88v0ClaKCpYtDy7EqFRtma1E/8IGG/61AuGMSpqM1KknA6+8G1lnA5VWQW6sJVI2+qmFld1FCFK2AQxGzsjbizO2DkBLx+XYjFJUkqCPLZtX3phUWa1RySJFSof+zZ48T0QxyNiRaax2MiL4j4/uUj7/kbO+/4np5brU/imWrR4NnTDx+gn+LpxMnFMmMvxHZD6iUTU1PxAnEWPXOyztpSmfm6cIycr+e5dKrOmaUyy808SzMF0jRF1xVW50rc2h6wkYmyVYsGURSTpCmKAook1PeTJBXuGdUc1zd7NGs5GhUz6/WrLM8VSRJBETjsdb94fhZTVxjaAUGQQJoQJQkHfZft1gjbDYVDQJzgh+L8K+Q0PnX+4YOAUZTwnbd28QPhMvLtN3dJPmRinyRJnFwU+YssS6zOlx8gp75X3N4eTHqy3YHHq9daH9LVTjHFwxEcOaNdP+b29lDEiRLkDJXPPzOPporAVVUl6iWTKE2JUzFQBUzOMV1TsvUtzrblOVEnsL1QcFtkmaEdEMcp3YFHf+iTZOdgkqTH+Dkn5ss8c7qBLIGpK3z6wgydgTfh27T6jqhfZtyCdxrtvrhW58xKJethaCzPFNnrjImihL3OmLdvPdp9qlwweOZUHUkS4jrnT1Q56LnEcYrthGxljgKHSIEkTieirp85PzvpxR/WFx+Fl6+ImDuKEtZ3htzevlcvLBV0vvjswqRu+tXPHReYfvtW+9hrst0AQ1cmnLEP0p897KtGccLW/iejr3rivrpS/hHiOlN8+Jir54XbpgSWofDZC7NP+pLeM0rGg+vJeMj3Pu6Q75vZWGw+fbXJ3faYKOOZ+WFE60e4tvDEnDj+7t/9u3z/+9/n7/29v3fMfWN7e5tf/MVf5MqVK/ydv/N3ntTlPXW4mw1xnHgECXSKh0OSJP63v/Acmirz6394m//nr73JYOzzn//M+emk5hQ/VHh+xMb+iDhOWZwp8Me+dJIkSY4UJGV+9ourJIkggb6R2eC+eG6GRtVktpqn1XMYjUUwb+iyCOqPJDuSJDGwfdo9l4OeQxQnLM0UuHSyjhdEnD9R4/pGD9sJMHWFfE7jxbMz9IYeb9w4wNAUDE3i22/uMRwHvHC2yV53zGvXD7h+t8tf+KnzRLFQpbGdgCgRJIh62aJeEXZ9z55uHiMsaKrMpZN1Lq7VJmsuDEPu7Nq8fHmf3Y7NyMmKSHGC40U8c6qB7QRc3+iTpGlGZAFFUTBVmUrBQNNkPD9ks2UTRgnz9fxEbfaQRAKCXHtUqbg38rh8p4OmCiViyFTTD2wsUxSeNVUh+oCEtplq7pEKV1M8nYhjUdiIswJHnJGxjiKKE3Kmzp/48qnJ+k7T9B3PmzBOcLyQsRfRHwm1/o39oSBnK0LdamWudKyoeHqpyumle4ozh00MEMVUQ1fJGSr1GWHxefj3j+45OVPjhbMztPsOP7h2wOb+CE2Vyec0SIWtqetHyJm7RcHSWJopoCliyOq16wfc3h5gu0ItOG9pXFit4wcRIyegM3SFqp3jY0bqhER1iLwl/v7h+5OmKSM35Buv7xBGCc+cqrM8WyRnqhQtjZSUct7AMhUMI5cpb8H5E1UKOQ1ZkpFl0Yh99lTj2PuuKTJrC2VsJ0BXFebrOSxTY7/rcmW9y1w9z6nF8gOfU5Ik+H5Ez/YZO5kyMQkgEycpmqpw6WT9XT/jDwLRtC2TJAkvX23xG9+4zUwtx6fPzxxraA1sn52DMYoisTJXfOD9nuKjQ3q/In6aMlO1hJvEtlDelSRBjsxbKpaucvVul7dut9ntOFi6zOJMif/yZ85xd6fHq9e7tLtjnCBGkX0UWagwJghXmfyqxtiJsAyVnbZNFMVstsbkLI3Zumgc6ppQ+rUMjfu2qQew2Czw5//I2ftikh8eijmdT52bObaO7t9bf3D9gP7Qo1YyubBaY6/rTEgcH4QMNsUUTxqi0SfUY08tVXCDmDCOkRxQVDEU6QYxUgpjL8LzIyRS8pZGmiQU8gb9oY8kJSiKSs5U0VQxsL251+fO9pCB7bPYyLM6X+L5Mw122s5EeS5NIUnh46bbcmixDkAKcfTxGzR50uiNPHbbYzRV5sRcSai8H0Fn4HL5TgfLUB+II6f46BFFEf/md2+wuW+z2MxzaqlMebkCwNu3IxpZnFAumDhOxJU7XRRFaCo1s5/VSiZBlDAYO1iGSqVg8tKz8yRpQqfvYbTHnJhTkCUJ9wgxL0rSbFhLRlFloihhrp6fnLPlvAak1EoW+pF4UZGFYn6rMxYiDyWTU5mQXKNicWG1LgbIJIlKx2DsxsiyULLe67mkaUrOVNnt2GzsibzisxdnJ83H8L51nCYw2xTX5Qcxs40czYqFLIkh74tr7z3GrhQMaiWDJBHD3FutEQM7oGBpxHEyeS5Jlri4Jhq77/T8yX3xyDsNveVMjefPNj/SvOCjRmfgst910DWFE3OlqQv0Y2I4Dthu2azvChc514toVCxubw8Y2j7LcyVqRZ2e7bPVGlMpmqzNlVhdKHNhrUarO6Yz8AnCmLzZY69jk6QiBz8cPIoTjTRNiY7ck3Gc0Kzm+NJzi/RGLpIsU84bVIomb9xo0x16uH6Ioat85uIsP/bcInGSYugq51Yq7LTH1EpChKDdFzXEOEkntTDPF0Tkk3MllufLNCoWp5fKk3xhrzOenDPBfed2mIm1FHI6L94X579fmBkp5XOX5oAH1+7QCfjeW3uTWsJnL8w+9G8eClokScrNrT43Nnvsd12CIGZxNs9XXliiUjyuvntivsTKXPGpXdtTTPGkUMo/mOu/G+I4PaaC3azmjg1cpWnKGzc7/Pvfv0UcxzQrOfI5jWrJZHFGqFPP1XPHnIDvh+tHbOwN8cKY1fmScEP0QqI4oTf0GGfDH8W8wYwp8/btHre3txnYHs+ebvLp87O8cKZBe+BhaArPnGoQxTFfe2WT0TigXrFIEXUiy1BQZJlUAVWWUSQZ2w7IWzopCf2RRxjELDcL6JpCmqYsNvMUcho/+9Ial444ElaKJn/qx08fq93c7352uIcf1qgOnd+T+20cHxPRfQq+wYeUlx2enYoisTJbfKwBnyneO9wg5je/dZve0Of0UnmiAP1OSJLkWI0zztbFbmeM4wnX0Lyl8cKZJrr2YCUhSVI2WyOGdoDrh9zdG+L50USd3g+PDxQ1qxZfqdxTr37x3MyxGPTOzoAr612KeZ2/9LNn+Y1vbfCtN3exTJU/9ZVTfObiPHEcs9N2uHa3ix8mk9zYMlQ+e2GOt24esN93ubMzJG+qbLRGvPTsAgN7BtNU2G4J94KRG5AkKWMvxA8TUkJkWcPxBCG9lNdZming+hHtvnD5W5kt8lf+xCXCMGKn43B7d0S1aDzgKFx8REw0dkOub3Q56LuU8/pj9SV1VeZnvrD6xOq4U3y0MDRFiJ1lufpO26ZSMGiWTa5v9tFVmb/w02eZrYt77OqdNt96c48khZ/67DK77TFhLGpGnYE76eV5fkQxrxMlCZauoagSqwslXjw3k/XTBclZ12Rma3kUWaJRydHqOhRyGnlTQ1EkTEPFMlR+7qU13rx5wNde3aI3lFGyW7FSNBiORR8tBU4uVHnpuTm+f7nFt97YnfT8jiJJEuKMSD0cBwRRwua+PeFDxUnKxp4gJtdK5vt2wH2Uy8bICdjat5Fl4WzwbmdSq+fQ7rvstm2G4wA/FMJ2s/UpH+Bpxg+utdg5sKlXLD5zfhY/jNlsicHDlY9JDypKwA+E2KkkiaGFl55b4AvPiOHH71/e44vPLkzOh+7QI01SoihBlsDzhQt4kqTkLXFGztfzbLdsojSllNc4vWhycql6rM4okGIaCmEkBBGub3b52stbAPz8S6tcOFEjiWMKlkG1aNLue0cfKoYlEWfz/XHpyBFxoSQJEZlf+IkzxHGMoih8//Iee517RN/wXc7IF87O8NzpBrIsc9Bz+c5bN9k9cMhZKj99n1NWkqaM3XDiLHxivnTMue8dP4v7rsN2fa5v9IjjlIVmni+/sMiXX7gX3xz0XA76Doam4AXH31tZknj+zIdTT7y/r3r/108jCpb2odWVpnjv+Pwz83z24uxTG3M6nvfg93zIPWVHtipJxNkYuQT0R/6TvaD3BYm8pRHFCZqiEERP5/6007bpj3xypsbKbPF9OdQ8sdX0D/7BP+C3fuu3+LN/9s9y8+ZNAH7nd36HP/2n/zSdTodf+ZVfeVKX9lRi4sQxHeJ4z5Blib/6J5/hL/7MeQD+h9+5zv/1V1//WKqOTvHJxY3NPv2Rz8gJskD+4UU2Wb5nVQiABC+cmWGv6+B4glC92x7j+vGEVHyIH1zdZ31nyK2tPm/d6nBrq8+1jZ6Yop8pIsuiUaGqMl4QE8cJQRhzc6uPpioEYczvfG+D7lDYKX791S3eutUmiGKurPf499+4ha7I9EceAydgYAeU8uak4TtbyzEY+Wzcp6gDxxusmqax0MiTSintvpcVPl3ubA856Dls7o8oFwzKBZ3eyKNRzWEZCnqmctWsWDxzss763oje0Md2Qm5u9fGzAq2uKZOCydJMgWZFFGaMLEm0HVF4jeKEJEnYPhhTKmhISBMy1PstBE3xyUW9ZE1IFF4Y0ygLO1FdE+vY0BSh0JjhcH2/W1JZK5pCcT+MCaIIRZbojXy2Dmx8P+agJxRs3gmaeu+e7ww8VEWQsDb3R8cC+YftObqqMBj7uH7EyAlJk5Ra2SDKXmu776IqMtWSydiNSNKU7ZZYJ9utEW/damf7Wp9Wd8zIDdnYG6ErwvEnyYpEy7MPt/mdkKkkiT98dYu9zpjOwOUbr2/jeAF390b0baGud2Ozz8gJ+b3vb7K+OyIMhRKcLMmYhnAruv95QagzyLIknIeqFoWcTqvnoKkythNy68j+cRRy5pjgBzGSLGGZKpoi9qKZ2sP/1keFt+90uX63R2/kc+1uj6t3e5OfhVGSvTcB/ZHPra1HqwRP8eFDVWTmG/fOjM89M4emKdzdG6EoEKcJjh+RJAn2OGDkRGzsD7m20eOgN2a/63Jzq8cf/mCbzQOx3gdOQBDGmLpKglCpWajnaXVddtsOQRjTszOFXDtkYAe4nrBBT1PwwwRdVxiN/ccm7j7pIszRdbTULExUhcdewO2tPr2Rz42tPv/xu3cZjkUMcmOj/2QudoopPgR4QcQfvr6NHyaMnIDeyMfSVaFiJ0voqiATxFHCXnfMdmuMF8Z4YUoQRESJJIY4gTAC34+IwoSt9pgbWwNubfdxw4hrd3tcudvDNFS2WmPK+XvD1nP13MeSpPvcqeZkTn1lrjgZ1J5CIAhjbm72JznN7e0BC808MzWRP4ZRQjlvYDvhY8WRU3z4+I/f2eC1G206Q483bnW4eSQ2q5Uthk6IHwoHjd32eBLD7XUdhuOQIBR58uXbXXpDMai7sTcUqpGScPhbni0gZ0PfX3xmbnJunl6sYGgKUQJRlPL8WbGeJEnC1GXu7tn0RwG3tweZ257A9Y0el2936NsBN7cG3Noa4HgRjhfhBfFkgCOIEr7+6hbtvkur63L1TicjLiR0hi5XbnfoDFz2OmO+8dr25PlnqtYkx5Yk+IlPCfVoSZJYnCmwNl/OhrKlzK3svcfYX3t1i1ZXuKD9xjfvcHdPOAvsd51MAENgqVnIBtXf+flzpka9nO0/Eiy9i9Lw+7nmjwvE8PEA2wnpDjzWd6f5xOMgihOub/S4vd3njZttbm4JkYM/eG2H3shHVxWGts9oHLJ74GCoMt2Bx9W7PcIopmBpzDcKqKrMftdh+2DEyAkZjn26A+Gql6QplqHSqFhcOpmRebP78dnTDbojjyBKyZka3ZHPTDXHpbUaYRiRJILYISNihu3WiIOeixckxIkgDo4yt6ucqTEcB1SLBrIsXDhrJYswgYOew0IjP8kX+iOfjb3R5JyZrecm5/bqQukB5cgPc11I0sPX7jde2z5WS3D9RytOSpLExv6It293uHyny6tX97m13efy7R5ff2XrkY+ZYoop3h/ey/qZreWEsxU8UHsD2Os4/PZ372C7AX074NbOgFrJwNAU4ZChK8w1Hl5/PMSNzR4DO8DSVUoFHUNXSFPhUlbI6wSZ+8Yzp+tc3+izvjvA8yOurIv93jJV+naA7YRYhspWy+bf/O4N9joOvZHPd9/cJY4gjGP8IKFgCeJrlAjym2GovHWrzStXhTjO5fUO33hjl9/57jpff3Wbva7Dze0B//M3brPXedAp/J1qN5dONlBVmWJOo5DTmK1Z1Mrm+yYePnu6MYkx5+o55j8Egurh2XkY/97Y6n/g55zi4fi9lze4sdGn3Xf5zlt7vHXz0erVh8iZOqez4XOAsytVbm716fRdrt7tcWurT3fgsbH38BxzrzNmv+OwsTfk+kafQk5jlBEka2WT1bnjA1ZHydz31ycGts+33tihO/DYORjzu9/d4up6l8E4oNV1+N6VfQDaA5/d9hhTVxmOfRRF9AlWZotYhoqiSqKf40cMnYA0Sbi51efO7oD+SLjmdEeC4BXFYgDL0GQ0VUGTZfq2z9mVKooscdB3GXsRszVBbt8+EKreB32P/Y7D2BVK352B+9D35+h+mKYp1zZ6hFFKrWjSGXhi7zn1eATSJ13HneKjwc2tPmkKUZLw9p2O6OcrEr/2B7fZ7zoc9Fx+/zXh1mK7Af/hW+vc3RuyuW/z9R/sUC5a2G7AVks4aaRJTKvrEidpJhwhzqMoSpmp5liZLU7qBXlLJQhiPD/C9cXgh531+mxX9B+ub4ieVN7SaFRyXFitoSoSlqmxPFfihTMNytnZmjc1nj1V55tv7D7Q8zsKXVc5d6LK2BUOJHP1HPtdMSgBsJXlMLYjrmVgf3jExThOuHZXnEkDO+DGZv8df992Q9Z3hthOSJJA3/YJwgQ/TO7VDqZ46nBzs8fbtzv0Rj43N/u8cfOAaxs9hnbA0A64dqQX+yRh6AqmruCHMV4QU8ny7sPz4MJqjZyhIssylqFgqEL41fUjdrsOd7aH2F6A44fc3h4yGAdiKMQJIMlEUbM64zMn65Mz2TQUCpbO2A3xg4SRG/Kr/0nEvnsdh//+N67wjde2GNhCMPXa3R5WNgylqjK1konthJMBFPVIvzJOUq5v9Cb9vsM9RlGUY68JxHD0+dXau75P94QnbG5uDhiMA/Y7DpfXu8d+b6dl0x66Yl3vDonjBzkCj8JhzA1QLuiQMOGA3djsCze/DLYbcmdH1Ns6A4+CpWEZ4vXlDJVz2Wv6MGoOR/uqlaJB4RPkWjGtyTw5PM0xZ9F88L5pPI0izEdeRgqcXHr6OOPCyUXEopoq8/lLT5+zS2/osbVvYzvhsVzwveKJSVj8wi/8As8++yy/+Iu/yJ/7c3+OL3/5y/zO7/wOP/mTP8k/+kf/iFLp6buxnhSiOGHrcNp3atv9viBJEn/hp89RKej8t//TG/z2d+/SH/n8l//LT0/Vqqf40JCmKftdZ6IIcdi43O863N0bkjNUCjmdJEkJ4wRFeTDoCaKEN2608IKYE3NF5up5NFWh3XcZeyG7bRtNlZmtmHRHAa/fOCBnqCzNFhmOffa7Y3a7Y/KmhhvExHHKbscmCBMWGgWk7JSXZWEbvL47ZK/jUCno6KosJvhTUDRFuGDIirA3jCT6Ix8/Sji9VGW3OyaOU5qVQzJGymxNkDIOHS5AHGZ9W0wjHiW4F3I651aquF5MEAryeBjFtAcum/sjhmOfkwtl0jSlkjd44WwD14tYnS+yMFOilNN5/cbBkfdeEJoOGz0n5krM1nLIksSXXlhi7ARIwPUjRRhDU1hbrBFlDgtJpqb+3OnGQz+bKX60IcsiwHT9SBRLDFW4PpxuEoRCpfL9qBxHScKL55s4bsROe4yuyuQsjd3OmO22TSmvUym+u7Xf4T2/vjNkOBaFUD+IuLnVZ66eZ6GRR1EEOeTGRo+cpfHcqQZhnLA8UySIElRF7AsSEp+9OIvjCQchUxfqP5+7OMvCTJ4gustB36U9EAMetVKmsBsnWKpMvWwxX88RJw3COKVWNCjkdO7sDKiXLUpHCKQgmjLdocde10FXZSRJIo5THE8UqWdreYbZoImX/de3PfKmGMq4sFpDUSS2D2xkCRaaBVRFxvEEaUtVZJ493SBJUgxNFgR3TZkoAov9I0FVEmHnFyeYuoLrR1iWwqmlMmkCOUsjZ6nMVPOTveZ+POocOMTICWj3XQxNYa6ef+wJ7bF7nIRiH/k6jOJjSsEPG0iZ4qPF8myRZtVClkTymbc0tvdHaJqM44aEUcrybJ6Xrx4wHLuMxiGOJ+zEFTkiSTRubw8oF3TCOCGMhPLNC2ebhIFw8pipF7JhrxjLUBnYAZ4Xs9g0RFxQs1hqFqkXLWbrFqTiWt5Nnea9wgsi9joOsgTzjcKHTgDvDFyG44ClmSKWofCdt3YZjgOKOZ0UcI9YAPtRPFVgmeKphOOF3NzsZ5beiWj6BTEvnm1wbaNPHCcoqoTthBiqTJgNekqShCoLxZK8pZEkoBZlPF8o4tcrFs1KDt8PkSSJkqWRxikFS6jm9UdisOvEfJFywfjY5sHnVqssz+UJwuQBNexPGlw/Yq8zRlXkSaz2bgii4+qofhAjSaLB1q57KJLE2Lun6jWNC3746GUK+GGUTM7J5840kCUJ762I5ZkCrhdhGiqjsc+V9RBFkQjChAsnagRRTBhF+OG9MzyMEyQpxXZ8Fpp5LqzVGNiBcOAzVaHWH4uhsC8+M8dO26WU1zh7osqJuSJBmLDZsnn9+r0cemgHbOwNSVIy1X4xsKGpEpahsbYgSFaaKvOdN3bZ7YxpVk2i6Oh1pZxdrmZuAQnjI+f02L13H8qyzBefnefWVp+cqbG2WObF8zO4XkS5oCNJUva3RS6w1RoRRgkz1Rz5x2w6HosRgpgoitGyNVWwNFITkISzyFF4fsRe15nkEe2+i+tHVIoGp5YqLDYjFEVCU3+4vkVhFLPTHkMKc41H5x8fBoIwgfv2lSneHVGUkCQp7qHLqxsRRQmOG1CwVBRFYraeEy59QUQcJ7h+jKJI5E2d4TigO/TEz10fy9CIEwjDBEVJWWwW+My5WYpFg+dPN1FVmbdutbl8p8PQ9vnKC0t87uIcQRijqjJ7HYdGxeLnXlqjXDSwxz5JKtEZeoI0kZ0HQRTTG3nEsc7JxRKOJ76/tlCiUjCwDJnvXz7AMhQKOZ1yQZ8oaMOD58rSTIHPXpglio+f23GSstu239NaTpKU3c6YIIxpVnMPJR08LB85mh8f1hJypv7AYyevIYhFbhUmJCkkiSBx2feRyh75+DBmrz0GCRYa+R/6/jDFFE87jtbOqkWTckGffL08J4jXD6uz+mGM64samB/EGXFU5ac/v0aSOScrsnRs/7l/L/H8iM7AJ4xiLq01+NM/fpordzq4YUwYpqiqRMHUCLNcpGBpBFHC0Am4vTOkWc1lzqcqvZGPLAnC1uGgRJKmBHHEQj1PrWSRz2Xq5ZpCo2ISxgn2odtvkuKHMRt7Q4o5/V6MlYo8wfEePZD2MMzWcvzCj59i7EVC8ViSPpDLxep8mZlqniCMKOX190TgOaz1mrp6zCX68Ow8xDTm+OgwuE+htfeYxOcvPDPPhdUaQRhnfc0RuiYTBDGjcYBlaFjmw++rwxjhsBaZNzW++OwcM9Ucp5cqk3soikUN3gsi8paKqoqhrYHt8/btjnDRI6VvBxRzGrIk0Rl56KoCxMiyhJvlvIeK1rqmsDZfpl4xWZ0rESUpiiyx3xUDHt2hT5Kk7LQdygWR00SZW5/oP+SyGklKp+8xW89h6CqVosFsPU+5qLFzYFMumlSLBrudMXf3hthugKGpD30f3gmHwlcA51drLM8V+fS5GUqFB/tAj1pPU3zy4IcxqiIcV10vYnmmiKrIjN0Q1wuRZImZSo4gShiNA+I4JU5SwiimM4gY2D4n5orEUUKcOcvMVE1OLVYYOgGlnM5MLZ8JSeaolU1Gjk8YidxDQqI38sR6SVPhHJVAnKYM7QDHDSau5IWcxhcuzXH+RJX9nkMppxEl8KXnFyjnDZrZmvrWW7uT1/ewOP36Rg8/iDmxUMIyVHKGNnkv4MFz4sOscUVJ+kBf7VH9vSRJubs7ZK8rBHJS4MxSmXrZQtdlCtajc48PguE4oJO5OM/X89P1/xFgdJ9g6sgRZ90hwix2eT9q2x8m4jjh9HKV+WYBWQLrviHdQk7n4lqN9d0hyzMlvj8OqJUtwigmb2rctj00RSZNUxRFFmdcQYg4KLLEXC1HGCfM1sTeUCmZE97N67cOSFMRRxdzGn4Qo2RnuueHRFGCrouv/TDm0sk6fhijqzK3tgecXCgL9XVVnjjFHb4m149ETI0Qvrm/h/7Hv3KKsROQz+loisRO28YP4odyDY5iOA4o5XWSRPA7/CDm8p0O3YGXOWZJzNXypEmKqsqM3YjqY9JXZ6oWLz07T2/osThTPCZumyQp6ztD/vD1bTRF5qXn5489VlUUXnpukVZ3zEwtTyn34e0d1ZLJC2dniONk6nQ3xYcC2w056AnX5vn3wGn5uODKxvCB793e63FyrvoErub9Q1Xle2LWCtzeHvDC2bknfFXvDScWypyYL3DQdTl7okLuI4qbPkrcH4O+35j0ie7OZ86c4Z//83/On/kzf4bf/u3f5vnnn+df/st/OQ0w3yO2D2yiOMUyFGaexsmwjxF+7qU1KkWD/8uvvML3Lu/xf/hvv8X/6b/4wrFm1BRTvF/stMdstw7VV1wurdUZOcFEmWanPWZpRnrHBvy339hmc188x1bL5j/78tpEZf+7b+0RRpAAl9d7BHFCrWTy+z/Y4me/uEqSprS6LkEY4/kxhipPVPNBFFpUVUbO9mAvECQNL4h485aYulcVhd7QQ9cSNE1GkRLCSCaWIk4ullmZLfL27Q61oklv5DFXzzPfyE1I10hMXESG46PKFS5pmh5zuFhoFtg5GNO3faI4RVUkbu8MMVSZN291GIwDLq7VGTkhiiKKICfmK5MJ/plqjs0sMcqZKvn7EtajxDS9ZGYWkdqEDN2sWRRzGvUsKZQlifnm45GnpvjRQ61kstsZoygykgT1srjPFVma3JPvB+WCgWVoyJJMvZKgKWLUyvFCTE0RBcz5xxvgNHWV+UaekRNkzRCHxZlC5t4TsdDI83svb4i1CjhuyOefmcfUVSQpnqzfQk5npz1GlmWaFWvSiKyWTFZmywzsgN7QJ4lTojjBMjQKuZTZqtgLNFUmZ6mM/YiiZXDQd3F8oQzS7rs8c6oxec8cL+T6Ro80s1QVDj+6KBIVTNYWytzeHlDMaeRMlVLeYOSGRJFQtDM0hZyl8caNg8lQhuNFnFqqcGW9O3mtfhBPlMQsQzgnHO7NlqmStzRuZmp8jhey2xmzOl9ic29EmorBt1bfoVE2uesNURVpcg8cxcPOgUOyiudHXF3vToiXYZxwYu7xqkKnFsvc2RkQx0I16eTCvcdZhkohp02awM3Kg9c1xUePwzNnqzWi2/eplExaPUcMTWoSt3dGWcMlwvHFAAcJRLEoBBu6wub+CHscgCwxGoeU8gbnLtZY3xWfvaGr6LpMFAnCQj6nkaYp1ZJBIW+wlJFC3a0IUkG6rD7GENjjIklSrq53BdEPUcC5uFb/0J6/N/QmTjKHZAZdU/CCmDD2aFYsVpbuFVeaFWuaV07x1CGKE66u9/AC0VzdbdsEkRgyfONWB0WWcIMIJRRxfHvkEUSCXBvFKZoqkyQpQZhgGgr9fiiaLZKCrivUyibnVyrs/uFt4hiKeY2Ti2X6I5/O0CVvadzdHXHuhPqxHeIAoQCa+2TPbxDHCVfWuxPihutHnF159wJyzlCP5zRVi932mK0s5xNEFEQz7SGE9Sk+esw38ozdkCQTGlhsFibrrVowJj8bO4EgDKfiLCvmNRRVwlJUynkNWVHwfEFKiuOEK3eEIt1ux+HnX1o75lKjqTKaKhNECe2BjyQhYuY4nawnWZG5st4lyAZEFVlir+MAMLA9+raXNTclTi2WJwMo+90xl+8IxbobW+L81bN6xrMnGwydAFWVUWWJmVpODKoCa4v34tUwirl6V8TmXvb3Ty1Vju1Dh/nBra2+UKJFDJc8d7rxWATpw7wBYHW+SN7SJ432ztCfiFZ5fo9nTwuF2yRJuXr3XmyzsTeavLaDvsuF1RrFJ1QvvHa3N3kv+7bPc6cbH1ncU8xpWIaKm91v09rz48HQFUoFnRnf4uZmn7EbMHLFPIwQSzGQJIkzS2Vypsbd3QGKLFPM6/RGLu6dcEJ8yJk6izMFbm728RF7vWVojLyQ58/PZEMaNr/5rTskKdzZGeL6Ec+dbrJ9YLO+O8QyVDEgmqScWa7yrdd38MMY01C4uzfkxHyJ3sjnrVttbCckriS86YWcXKwgcc9h8Pb2ACTo2wFeGD+gdlktGmwfyESROG+aldxD6+p3dgZ03+Navrs35KAnVHc7A/EY/Uj99FH5yMmFElfXxR55WEt4JzSrFpWSSaXg0Rt56JpC3tI4vfTu53Caply9050062wnvOeSMsUUUzwWdjtjtvbv1c6qRYPe0J98fWmt/lChnEbZpFIwuLM9wM9IZTfu9lmZ7fL8mebk9+7uDicK3vfvJVGcTlTykzSlXrGYaxR4LRt07ds+OUPUHw8FYFw/wvdjhrbPGzfayDJsH4wp5jTKeYP5Wo6BE2bkNEX87jggZ+ksFgrkTHHOmoZCo2zhBSHXNmRcP8VxQ0p5nSCOsXQFNxQE9dW50vtyCtd1Ff1DzPNyphgYfi9wvJBrG73JgGicJBNHs8Ozc2iLobmZ6jRX+ajw3KkG260RSSre90tr765efYiCpfH69oAwjHG8EHucTNZGZ+AK8ZiHoFGxaPddynkD148o5nRypsbqfPnYENCtrT4DW/RNwzhmdb7E2Am5vd3H8cXwSM5QSJHoDX3qZZPPnJvh1795hyhOkZKU1aw23ihbHPRckoyEudgsoGkKh53C5880+cbrO2hqSBAm6KrCQd9j7IUMxyGjcYCmSsw3BJHzYCCe687OkEbVImeqbO2P8MOYWinHYOzTH/bZ6djUSyavXGlxfrWGJAmhKEWRqD2GGIWiyNTK5iRWWpktPnSA453W0xSfPMxUc+y2x8iSxMpcESMbyAujCNcX8a+uyuiqzEzVYraWY+j4eEGEqatstkZcXK3THweoikyaSlSKJpapoaoKeVOlkDNAglNLZW5u9ieCcMNxgKbK9EY+jiccdKrFGENXGdo++13hNnMoxFYtmZi6iqEr7HUc+iNPuFlWTBYaBZqZqOM7xem3twd87+09AIIwolHJkTPE8GMtq3c0KxZ925/0OioPWSfvF4amUC7oDLIzqVm1Htnfu7s3FEJzXsRoHLI0W2CmlhNkf+mj6cm5fsS1u/f6iXGcHnMwmuLDwdpCiWsbvUl+e3alytiN6A7F/lwvmx8L4rKuKccEH++v29zeHvDyVeG42x54SLKoSaapqBWX8zqtvnhNpgEnZnP4IQyytb/fd5mp5tg5GAvX3GZhUqfb3rcniuO2F7IyU2C7LeqJp5cq1Ks5RtlecmqxjHyEN9GsijWsy4pYw0deg6rI9Eceg5F4rKJID+2h69l+sLE3nNQx7+ca3I8LqzVevrI/qUGWchqvZu/P+u6QuabgUiBLFPM6M+8h7t5tjyfXcXtnQKVg0M+GZ3VV5lf+4xVcX9QLdtpjfvaLq5OBNFWVJtymzX0xKPswrsH7xWF9eIopPiiCMObqency7BiE8UTw6WnBS8+fAF479r2nbYADQFPEIDtAlMDF1cdz7vs44Wsvb3B7e0iawitXD3j+9Mz7qnc8SVSKBjsH40n/9f3Gfk+0K/+1r32Nv/23/za1Wo2vfvWr/Ot//a/5K3/lr/BP/+k/pV6fFrcfFxu7hy4cpY9FkPi044vPLvBf/TWD/+pffZerd3v8/f/Xd/n7/5svTidSp/jAOKaUnsLYCydqcIeqc/ONPGeWq0iSRJqmdAYeUZxQL1toqkwna1gkSUp/5HN7e8ilk3Wh+q8rVIomZ6wyL1/Zp2ToxFFCqCTc3R2y2x5TyKnkDIVy0aCWBf22E1DI6SiSxEIjT97S0FQ5s/RLWJ4tMrB9KkWdmaqFqgiVppW5InPVHI4f0axYnFwoU8jpfPUzy9zaHlDKqczWChRyuiCJjAPu7A5461abU0uVSTP6sOBzaB/YqFjc3R2y1RqxNl8iihMMQ6Xbd3l7vYssS4zGAbc2+8zX8jxzso4bxBQsbdJwsd0QSYKV+RKGKlMqGHQGLnudMY2KxfxDrNNlWeL8ao2h7WfW4qLJfO5ElYEtrJbfaWr/h4HhWBDIS3n9fVudT/HRwDRUnj3VwHZDcob6jmfG9oFNd+Ay38jTqDyaANMdegRhzNJsgXbPZWmmwEHfYbvtsDZfpDsIKOYEsTuMUs4sVx4gXNqOsP0u5nTylka5YPDMqQadgUuaiiIIwH5nzNgJMlcA4QTUGXpoqsyp5TLbLZtiXp8UC549JQaonj3dIAhjkjSlUjAIAmEZbhkqkiShazKfvzRPpaRze3uIpkp89uIMPTsQxLUgZrc7ZmQHrO8OaFZzOF44KayM3WhSkDm9VKE7FETtQzvSl55bYGW2SJQkFCyheLU6X2DkCEXyRsXCzfaY4VgMY7leiKrKuF402TPud7KYq+cpWBphlFAqGCiyNNmvvczFKIxicqbYL2VZwvMj4iRFkgXBK05SGmXrWGz2sHPgcIjD8aNjytm7B7YYQjFVHC/CMtQHnDsO0azm+PmX1ugMPBpV65g6hyRJnD9R+9jsYz/qOLyPnj3V4KDnMFfPsdUa8eq1A5AgSoRiviJL6LpMEKRUiwaOHzIY+5iaSqVsYGkKxbzGi+eanFossb47QlWh1XFRZJmlZgFZkTi7UsEPEnRNuGk1yhbPnKzjBTHFnP6hFuzCOJkQpo6+1g/luaOE9d1h5rqhEWVq4jPVHJ+5MMPICYWSV8FgYAdIEo9cL1NM8XHD0Zjf1FWiWCjinZgr0R/55E1hVZ6kKeWCQV02iZKE7tBjNA7IGypYEq4XoGsqtZKBHyXISJTzOvWyycWTNUoFixfOCEe5P/KZFW5s9Jht5Dm7XGGv41DIaZO4YOyFP5Q1FCcpnYxA1ahY03rGEfhhfMzR4HH31IflNFfudOiNBHG/lNdZmS1iGiqmrkxziieAQk7nM+dn6do+tYKBYai8fbuDLINhqnz6/Cy2GwoRg60BcZoiSzLVoslPf/4EAztgrm6RInHlToecqbK+O2K7ZU/U1G5t9Rh7EaW8wYvnZnjl6h62E7LYLFAriYKyWPMS7b47qTl88Zl5Lt9uszRTZOyJYbIkhShKWZktstWyWWgWOL1cpVYySVPYORgde31zdYuLJxuosszSbJHe0KM38pmpWhPiiK4pLDbv5eSuH+Nn6r2qKmPojyZy36+o7/rxYw1xHM0bVmaL9O2AVs+hUjS4vTlgpyMGnZaaeeJMmTeI4mOxTWfoMX/YQEhFbP+oIQ7bCbizM8Ay1ccifr8XpGk6GeCAzFkkTtHUj2YPVRSZi2s1QdzRlIe6H0zxICRJ4uxyldlajkJO4wfXDnD9kO7QR1XEUJOuyui6xgtnmuIMTFMKps52e0QcQbloUCkYdEcenzo3y6mlMr2Bz1zdQlVVygWdatEkTlKurPcmtTBFlmn1XE7Ml5AkoRYrIQYn+rbPH/3sCs2aRRKn5CyNkRNy0HOxdAUkiWbVQpFl4jhldb5Id+jhuCG2J4a/lmeKOFlefbSpFsUiPpmv59A1he7AY3N/SJoWjw2Wwb3cOE4SeqOQzZbNatbb6A09/DCmWjKPidwcXf9JkuL6EVGcCDK0qWG7Aftdh2JOn6gSA3z6/Cw5Q8XxIy6tiVrCO6FetvjKC4tcWqvj+SFjL6JeMll+DJGFKE6Oqa2N3XDqDjjFFPfB8yMO+g6OF9GoWA8Qk2zneO2s3ffuDW3cV0s7RBQlbOyPWGqK2ml/5JOzhBP5re0+SzMFFFnGCyK6Q3fyONeL+MG1FvWyyamlCgVLo5DTkBDOFa4fUczrLM0U2GqN2GvbeEHIymyJStHgC8/McdAXe6TrR4ycQAwiZLW32XqOZ041UBSJO9sDNveHtHou5aJBwdI4vVwhCGMGts/ybIVq0aRUMFhulvjdlzcYjDwMXcM0FE4ulNE1mUrR5NyJ2nsSDRq7ISMnIG9pT2wA9d61RMccvo7u7Ydn52Dso8jTGuZHiWdON6iUDA56LicXi5QLj08yOcxVJUlieaZId+TxQi0HKSiqfMx5wvFChuN7996zpxo4fsRpt8LYC1lo5EXMkPVBqiWTkRMyHPu0By45U8X1Y968ecB+16WU1yeuA5+7OE+cJJxbrbHXtnnudJODvnAeu3Sywd3dAeu7w0k/MG9px+KK3sjj1FIFTZW5cqfLTM3E0DQsS6M3crHHIUEQoagSpZxGrWRh6ApBlGROOxLLs0V6I3/i1JEzVa5v9tFVmYHt46ghe50xX3xmHkmWjvUw3w2nFss0ytY71jjfaT1N8cmC60coMvh+jKJJfOGZecIowQ8iTi1WGDmHbp8SNzZ6lIsGf+orp/gff+86zZKJoaukSPRtjxPzJUp54fxnajLnVusYmkySChfs+Xqek4sVXr6yD4AfRIJ0bapYhoqmSmiqmom6FScOl/tdh50DexKfN6sWxbxOmgoxJk0VYkxJknLldgdVFXnmYrNA3/bJmxpv3GhjGAqnlsoc9JzJ69c1lWrR4PRyhbylcdB16I2EYv5H1esYOUJQrpDTKFg65YLBtbvde79wJCaxXTGAvzJXxPUizi5XaVSEQORHVXtzvPBYP/H+HucUHw4qRZM//mNrtHoutZJBpWiSpikN+5335yeBM8sV+rY4n8oFg/bA5e1bbSpFAz9MsN2QsSvO5MOc13YC5pp5rt/tUdofEcUpZ5bKrC6IOta5E1XaA5fXrre4ut6hVrKoFA1GTsA4GzaO4xRVkQkiwdX5I59b4ZUrLdI44Y99eQ1Vltluj7EM9QFSbrVoHlnD2rH6XpiJ1YaREGBRVYUgjLGdEE2VKeSOr6ujZ2CacoxrcD9qZYuf/7FVvvn6LmsLJSRJYngkB6kXTZYaBUZOwIUTVfT3sLfY9/EAKgWD+UaeKEoYZ/UFz4+QJOgO4dLJOqNxgK4ptAcurh/iBTGmoTJ2w/c0xOH6opZ7yCeY8oqm+Kjg+hHjrAZn6uojnfg+zri71z/2ta5I9AcelfLTpR43kw3KxSmUcio923vSl/SecdDzUCSJKElQFYX13SFffvFJX9V7g6mrPHOqju2Ks+f9ijw/sZX0T/7JP+Ff/at/xY//+I/zj//xP6ZSqfDVr36Vv/W3/hZ/8k/+Sf7ZP/tnfO5zn3tSl/dUYX1P2Pyszj+mh9cU74pLJ+v8w//dj/F3/m/f5Mp6l3/4y9/n//hXPj9V4J/iA6F8ZNJaliWKOR1ZkiZqKgVLY2mmOCEvre/eU5hr9RwunWwwX8txc6sv1KIkof50qEQRhgmu71LMlWgecaHo2z5xkrC5L9T3ipaGG8YMxi66qrLXcWhUEuqZ/eFhQ75SFEVcWZJYWyizfWBTsAL8MGF5rkC1YLI0U0DLirKVooHnR9zZGUIKw3FEvZxOiiY3Nvt87ZVNAL5/ZZ8//ROnGLsB2wdjeiNh9xsnKS9f2ePy7Q4pEiMn5NPnmtTLFut7I+I4YXN/TBAm1EoGr1xrIUlwevkeKWI4Drh6tyuKlxKcP1Gj3Xf53e/dnRQ0vvTCAqvzD04DK7L0QGNZfsj3ngR6Q2/iXCJJcPGIgv8UHw/omkLtXYrwN7d6fOdNsWbfuNnmZ75w4qGDHDsHNlstmzBK2D6wWZ4p8N2390RhLkm5erfHXD3Hm7c8mlWLpRmX29sD/thLaxNCwsD2J0pMkiSst4s5HctQmW8U6PQFMaI38vCDmDhJWd8bYRkqiiyxNFPAD2Ou3e0RxykDWwxBzNXzaKpCrSRe69EgVNdVQcLMCAq1ssnp5TK/8c07E8Wa4TjkKy8s0um7BKqCuz1gu20zGAdst8Y8f/rehHgxpyHLEkmSst9zMFSFJIUbWz0unWyI65wtMnICrqyLdd8e+JCmaKpCnKSYusp+z8EehzhemJHjFXbaNguNAromBtvux/1qoeWCQXfgkTNUdE1G09SJ+4eSEeAUWWKzNaJesgijhP7IP6aa/bBzYPL3LKEiFMcpB5lDQ7TZZ7c9ZmlWNJtXF0qPVL4tF4xHFgw/LvvYFKJgd6goOFvPc+lknc7Qo2/72E5AGKckiSAlBVGMDNzcEmq3SQKqHOGGkRhGTOG1awdIkiAVdgYuSSJUok7MFalXLJZmSly+05koVveGHudO1D6Sgp2uylimipuRCj8s5as4Sbl8p8PA9tnrjnF9g5mqRbUknt8yNBabRSqZkl3lQ3QXmWKKHwaOxvyaJqNmbnmGobA0k2foCPVHSZYYjIW65Z2dAW4QE2aKWSmCzBwmIc5BiJw5X0mSxMpsiflGEV1V2G6N2e863Nru4/oRWwc2Owc2X3xugTBTiBJE/x/OOrp+tydUrYDuyOP8icdX//ykw8gUCw+VuMrvgcB0NKdJ05T2wJs0v10/4vkzzQ/kFDfFB8NiU6jpHyqpru8MJnlqIaex0BBCCEkScxMxQAwxMoLkWC9bxHHCW7c7JAnYToTtBBMVwP7Yp9VzJs/5ey9vEsWHgwjCHZNUgi4gwfKMaC7e2OyxsWeTpikHGVkyztS0xm7Are0BINHquazOlSbqWieXKlzb6ANi/zi1XDuWa1dL5rE49GGqXLoms3NgZ6+VB1w0j6JSMNjvivtZU+X3pP68lKlSjpyAm1v9rG4R8PqNA4bZXmQ7AV94dkFcl6occ6CYP9JsPhyKehi8IOI3v70+Wb+9oc9nL354NuaSJB1TqT4U4vgooSjyNJ94H5BliWrRRF6SWN8d0d50CaMYRVFZni1OFG2HdgBpym57jB8Ocb2IwhEHlMOG6Fwtx5nl6iTnn62Je/L63R5BENEbeqSI+LhcEISp/ihgYHtcvdtHUyRm63kWmwXmanmG4wA/jNncH3F3T9TyoighkiUUXZAibDfklastSOHq3R5LM8XM7VE/FncnScqV9e4kF7CdkJ22UON863aHn/vi6iReB7GW9zpjtlo2cZyy3xlnQyXqRIF/52DMM6fqE7JjpWBMnl9VZdIU3r7dIU1F3dTSFYZ2QH/oszJfnJAd1neH2K543NFawjshZ2rvK2dSFXkixABQKujTAY4ppjgCP4x549YBt7eGRHFCs2pxca1+TDm6UjxeO5upWrSyfEmWpWPCJYf4Ty9vcNBzGTkBEhLlvEGSpsKVN4FXrrQI44RmxaIzdCnlDCDl9ZsHlPKiR9PqOXhBPBkiURVBKJUlid7I49tv7jJ0Qm5uD9hrOyzPFfn8xTkqRZPXrh8QxSlDJ0APZMIooVwwMuf1AqeWquy2bW5tDxmNA6IkIUngu2/t4QYRlq6ydTDmj//YKqoiM3ACZmt57uwMyZspfqQwW8vx/NmZ9/ye21nNNM16JWeXq0+0bnK01gsP1o4Oz84pPnoszRTfl2vD0Vz10KVv7EaTnOMwRrbdkCt3OpO85MyKGFSy3ZDdthigtp2Qasmgk6l/77bHjMY+ex0HP4gIgpjNvSEjJ6QzcJFlCV0ThOj2wGW2luPVay16A5c3b3UyQqfE27fa3N4ekN1m/NxLqzx3+p4jz15nzMbeiM7ApTfyKRUM+nbIiTlLxBPjgJEb0rOFY99+RyiP16s5bCfA8SPKBQNFljm9WGHoBLheyPbBGEWCm5t9VFkmSBJKOZ1bOwMurNYee4ADRMz/bmv13dbTFJ8MuH7E27c7vHGjxUHfo5r17v/YS2uUCwaNao4gshk5Abab8N3LeyzU89zeGRAn4AYxe12XWtnC0GQMXRCDt1s2BUujZ+9yaqHEXtdFlkCWJPKWTqVgsNO22dgfoasyYzfg8noXzxeu2IvNAqW8wUzNIohirt7t0R16DO1gkkd86vwMiiJNemp5Q+XmVk8IyckyNzb6/ORnlxkfjPnm6zt0BuL13d7u89zpBjeyvB2EmG2tZB7rsb51u8NPfW7lHcXy3g96I48bR+ocF9bEuXQoIAXHY5LDPEWRZSolk0ZFCHPWPsIcupDTj63/UmE6+PhRoZDTj/WLH2d/fhKQpHsx1MB2+ZXfvDKpSzWrFncO64+SEHyolyya1RyyLGHqKnlLvEY/EqKJ2qETbc/h91/dzmqEPaIknii9i0EEZ1Knc72I1661Js7Bv//qDj/30uo7KvQ/KvfWFInOwJ8MKKmKRKfvivge4YJyFJWCMYnjFUV6qCPoIfY6Nv+/P7hNFAvRi9MrR64vS98PnYhubA149nRjIn71bqjczwPI65M6fD6Q8fxoMuhRsISo1mG9rTv02GzZE47TqcXHdzbwsrPicE+olQy6mTjwlFc0xYcNWZZ47frBpJavqTLPnnq6HCBOzFWOfR3E6VM3wAGwfTAizmKlwTiiaD19nOZ62eCt2+LcCOOUtYWnk/v+OFzBd8MT69r+8i//Mn/zb/5N/upf/auT7/3Yj/0Yv/Zrv8bf+Bt/g7/8l/8yb7/99pO6vKcKd3YGwHSI48PG2kKZv/dffIH//f/jW7x6tcV//xuX+V//Z8886cua4inGbC2HporgvFI0JhN4iiLhehGlgnEseO5lAb4fRLxxs4Xnh3z+mTn8WNgUn1muIksSNzf71CtCBSYnq1SKBqeVMookijOyJOEFEbIkUcprqLLCQr2A4yY05gxkWUaRJS6s1ckZKgPbJ81U9Q+VaRoVi87AZffAxvZDipbBycUyaSoszuslk3rZotV1jtmmbe4P8YIQVZG5udUnThIxkZ/KbO7Z5CyNUk4jCCPGXsjNrR4HPQfbjdBVBdcP2WrbGIaKH0ZomgxIWIZCIyuYbrXsyRBHkqRs7g/pjzyCMKGY0+iPPNoD75gixc2NvlC2yuuEUYLjReQt9V0VPL0gojf00TI72Hdr+n4YSNOU4TiYWFGK78Fg7E+TrY8Zwihh7IZYpjqxITV15dj9tbl//HPcPhg/tMB4SMJy/ZAgjHGDmM7AYzDyCMMYWUrRNeF2YbtC0SoII66sd1lbKJEC2y2bke3THfo0qqJocDg0INZ8baK8WylIOH7EymyBMEqol0yWZovYToDnR/RtH0tX6Y985up5ojjBdkJMQ6E/8omihGbVxPUTvvL8And2xYDp2nyJrdZ4ojAuS7C+M+TkQpmTi2VsJ2R9d8ByWpwMXHSH3sQpyDRULq7V6I98HD9CloR6hu+H3NzsMVfPo8gSWy0b1wsZ2AGzlRxuGFEpGJxaEop2jaLBfnuM7YbM1vMossxis0gprzFbz7+jpZ0XRBxkKitqpsj77Ok6jh9zdqU6IdAaZxRG4wDXjyYFp/7IP6a6+bBz4BC6pnBprU536OEHEYau0rd9/DDGD2Nyhkx/5D9yiGOKpwNz9TwD22e/M2ZlrkgYJ2iKIlRyhh4SEUmSEESgSKJWl6RACjJMBn0qBZ3dts3YDdAUhZ32mHxOY66WxzAUNE2m03e4o8rHVCwHdkCSCOWam5s94hTOHRk0AjE0YTtBRow8fs4EYYzjReRM9YHGoyRJXFitcdBzkaQHLZvfL1w/wg+E883STIEoSji/KgZRDvoOiix/JJbkU0zxw8JhzA9iKPvMcgXXj4RifJSw0Rpxe7uPqSvsdVxsN8z2hRRNkfDChEN+dpKkJDEocopMimGoGIaMqak0qib9UYDtBoycgDQBVUkE0WBvyEKziK4rlAvGD0Vl/dBR5xBDO5io3z8Kh3vQ48TtTzsUWeLiWo2DvosqyzSr72+fC6MEQ1OYb+QJwoRC7v2rwEzx4WB5tshPfmaZ/a5DOa/x7Yx8AILEtDJboGcHVAs6jhvy9R9sYxkqa4tlPD/KmiMpjhvSHfkYmoypC3J33/axTJXtA5swFHtEZ+hlJCtxftdLFpIsBrG7Q59mJSKOU1q9Ma5/2BiV8QJBrIyTlIHtkzM0gijG1BV2u2N+7+W7AHz1MyfQFZmNls3JhdIxgYXHRRAmzDcKDMfCOc40FHpDbxK7H1W8W5krYpkqUZRQz87/ge1jaMpjO+j2R/6ECBKEMVGSUM4ID7IsEUQJeua2d361xkHfQZYkZqo5BmMf1xOkrUcRvA967qRRDoKI/mHjzHI1a8CnT51d/Y8iygWDk4sl0jQhjFLGXoCUplxaq+F6EUEUkc9IeFGUgiRECRwvojtyOTFbxnYD7uxGnFmpsDQjxAgaFYvhWAw6K4rMmRNVtls2c5ka9q2tPpfvdLCdAEOTkRWJvKlyfaPLT7y4jCSlbLd84sw9QlVkFhp5KkWdSslkoV7g7dtt4fIbJ2iqjGWIAZT7430/jCcDFgC3dwaYmatOHKdsH4wnQxx+GGNoMjlLJW9qExJkb+Thh/fWVRQLtdDDBtjybBFTVwmjmFrZpHuk1jd2Q5IkpVY2afUcoXC/VAFErOUFwjkzSdNsP/xoYh1JyvaNLCdqTvP3KaY4BtsJGDv3yN5jN6SVDRsXc2I/MDSFhUYeWZaIkwSQWM3cuitF44Hz3g9jtvZtJAmKOZ3l2SKnF0s4vuiLzNbzbLVGhHFC3lIxMwEazw8pWPpEiObG5oCVuSKztRxRnKDIEvtdh9l6PnMfUjDUmDRJGWdOzEma0qzkmKvnGeeCTIVYxBW6qqJmBLI3b7a4udUnb6p4XoQfxnh+KJT6/YjATMgnGvtdMYjbGbj4YcRM1WJoBzQreUxDxXZDwjCakNlShLL/Ow1a7rRtUa82VCTEQMpR4uE71YA+Chyt9ZqG+pESXKf4aHB/rtqoWARhTHfoTeITIOsz3ntcf+RTLZr0RvfUYZMkZadlY2Tu4mGUIMnCsaxeNvGDiFevuqhZDOIFMbO1XEZEVxjYPmMnEIrVukKSQCGn8vrNNqosfieKYr739j4nF8oUcjpeELG1P2Jjb8jNrR6WqTJby1MuGNRKJrIMpCn1soHtCgXr3sinWSvwuYtztPsOKWBqMjlLOF32Rz6vXNknZ6oEQUSlaOJ6AbWciR8mOF7Ixt6IsyvVdxy+tt2QOE4o5e8NgSZJws7B+AEHtDgR7gYnszxxup4+uRiORT2/k5FxvczFcuQEVEsmf/Qzy/z+D7YxdYWxGxLHKZ2hR3cgnCoGtsvYC1hbKCPLMpYuM3QiqkUDQxd9BRlxT0mSxOXbHd5e73J6oUQSp5RyGqRwMHAzxxkNCQlTFwOGxbwmSMq6TDmvo8gyigwLzTz1ksnFtTppmhJGKcQR/+4PDjANhUYlj+NHfO/yHqNxQGfgAhJeEDOwAypFk5/8tKid5AyVWkasPNpjjWMxCP9hD3H0j9Rq01TsZwVLY64u3IMO+3sp4mcLjTyWIfrCtbL5kYssgBDyunSyTi+r+bwXtf4pPvlY3x3h+sLxQZWFcMpCM09v6FMtGlSLJoszBWwnYLFZII4TerZPGMScWy7jeh7/4Rs7VEo6XhCjqRKhF6MpClv79mSII01BURRKeQ0viJmrm+y0nYkYUWfgMhx6XN3qUynonF2pHeNSGJqCF0R4fnzMJRwEkbdRMTOhqmwww9LoDDzhCnRff3KhWZgMmR66etqO6DccPVcBbm0NcIMIx43QNQXXjfnyC4t0hh4LjTwHvXvDIofX+06uK0df00zGA3AfwgPwInjhdJM7ewNkWeL04nF+Z5KmLDULuH6EZagTB9IgjDMhyEfvLYNxgBdEwpHQVBl7IRISYzegnNcfyis67M08aae+H0Xcvw6eNoj7TAxsmplT3dOGN67tPPC9nfaIhcZ7H3J/kojjewlXCrx5q8czp+ef3AW9D5xdqXFjs09n6LI2X/xYuVz9sPHEOre/9Eu/xKc//ekHvt9sNvmlX/ol/sW/+BdP4KqeTtzaEkMcpxYrT/ZCPoE4v1rjb/yFT/EPf+n7/Nrv3+LscpUvv7j4pC9riqcYDyuiVYsm1YfEAnlTpdV1+Df/6Tq2G/Ly1RbfeH2HRjnH0Al563aHWtlkp23z5q02xZxOPieK9lutEXf3R9RLJqkkoSgSlqFi6hr1skmpqFPKi0C9YGk0qxY5Q+XKepfuwGVz3xZ25hVRYNE1hflGQSh/Z/DDmLdvd4T9XxZk5kwVJEE+2W3bmQ2yULlqDxwGdkCagizBcCzIyUM3ZKs1Zrdjk6YQhGLgRFYUZAnCIGbshrx+rUUQJYy9kGrBIE5SynmDg77LQc+lXja5erfLjc0+33lrF0tXyec0FpsFaqV7B/1wLGzNr93tYegKYZSQJMLq8eJa7ZHEj5ET8P3Le+wcjFEUiXMnajx/pvmRD3Lc2OzTH/n0Rh5xktLICjE5YzrA8XGCF0RcvtMlihIO+i4FS0OWRNI8U82hKBIX1+rUSibbrXtFxkcV1vOWhuNFGJqCJAmF+73OmJ1smCdJUy6s1dmMY3rDENePcL0YRZH5w9e3OLVYpT9y+fabu+iaiqbIzNULx/6GriksNAtEccJex0FVZMZuRLmgE8YpXiDsPF+5uo/rx0gSfCkrRL59u0MYJdzY7OFmRaAkTXnmVANZFkRugCvrXYIgZmN/hCrLokkZRBn5Q+FnvrDKylyJIOwDQg3i/sbjoQrH7Z0B6ztDgiBis2WzulDG8UJW50uEUcwr11pYukqr57IyV0KWJBw3xNAVfvt7mxxkCh39kc/Z5SqaJrOWNW8eBceL+I/fuoPjiwbpQrPAbC1HkhHf71fUrBYNetkQGYBlqg/8zjs1U0xDZaFZYOyF9IaCjCbLEnpGVH0vSsNTfDzxxs0Dfuvb6wwd4Wzz1U8t4foxlYKJrCgkRIQxIMGRvBuABAjCFEWJefOWaEbKikSS2UtqqsKXX1xkycrza1+/RRAlyDJ85sIcK5mqpWWoyLLEr/3+Ta7d7QGwtlDiz//Rc4Bo1ly50xHKsZIYEj8kZ7l+xOU7HeI4RVHEOr+/wa8qMvON45bIHxSGpkyGV3KGRqVxz3VmoVF4l0dPMcXHH3lTnai4KYpQZzp6Fq7Ml5it5XjrVgc/iNk9sHG8kDC6N7xxiDjjDEcJREGKE4T84OoBpZzBl7I81tBUTE0hjBMkUtZ3hVX6nd0Rn74ww2Lzh7OuVEU+5jRhGso7xtWOF3JlvTvZgy6u1T/xwwiaqnzgfU5VZDRVnjRjprHExwOLzQKLzQJJkvDa9QNcX6wDQ5PZOhiTJCm9vs3/+7evM8qU3w76LpJ0njSFhIRXr7cmg5qyDO2+IDNLklDJSzLVNt8L8QKxWUhySjSfoCoqkgTzjTwbe8LBM4hiugOXFAlJEu4vo3FGEExT3CAiTWHsRXzt5U1G2d/++ivb/P2/9hLn1+rv+/0wdUWQDlSR6/aGHm/d7kAqGok/98UT6BmxS8qGKUA0vN6+1cEP48yhs/JYys1H14GuKpSLJodt0EJOOzY0oqnysXX4qPrNUZSLxiR2AagUP/xm6Nb+aOLqKknDCVl9io8vZqo52n2XH1w7oNUb8+atDkVLI4oTLEM4N4y9kDBM8EOR3wdhTBgnXL7TIUXs6b+drPMXfuY8Z0/UOei53N7p0+o6+EHMfsfB9SK+f6XFW7fa/Pof3kLXFFRFDCWtzJU46Isho9/8zh36Q5+RG9DquROl2FJe57nTTdp9j429Eftdh7t7Qwxd5BGff0Z/aLyvqzKqIk+I2c2qNdm/gEldznZDXr68x9aBIFwrkjxx2MuZGnlLm5CTJYkHzvqjQ41HcxFDV7DdkDs7Q4IwRtcUKkWT5dkibkacBLHGP33+vSvZvxd8FDnRFFN8UmAZKrquIEkSaSocwl7N6nmSBEszBays5j1yfHbbYsCjVjb56c+dmDgRHcXG3pCxJ2qjxZzGXKPAT31hjSCMeeNmmyRJMXSVQdeZOP00Khanl6tcudsjihKG4wBZEer8pq6SprCxP6TVcynmddYWKrx+o4OvyiS+qJfc2h6gKTKbBzY3N/p4QTwheM5UchOS1ddf2eSNm236Ix/XDXDChCROubklHhPHKaoqY+oK55YrdIYu33xjF1IxAKcoEu2BS6fv8eOfWua16y1sJ6A38inmDRaaeV56doGTD1Hq3WqN2Nq3hfCHJfokRx3PjtWA4B0dgD9MvF+3oyk+Prg/Vz2saR/F/bnn4WeeNzV6w3sE6WrJnNyDkgS1ojlR9VUVme9fbtEdudhOiKpIQvwqhb4dUiuaxGmCqsgoiiCnX1sXYnKOH9GsWIzdEEmS+A/fvMPnL83R7rt87ZVNXr/RFqJzUcKFk1VmqgXCOOHqnS47BzaGrtAbunh+wmDkc9D3eP5Mk9l6DtsJGTkhIydCBr5/tUW757C+OySnK/RHHpYpBJryA4WXLwdcOlnHD2Munaw/lKy3fWBP+kblgs7ZrPfw9Ve3JkPhZ09U+dzFOeI44fKhA1qm1D0d4Pjk4nAtFUyNoROgKTK6rpDPvq/rKmdPVGl1HUZOyHAccmG1gmVobLdGXL7TxfVjDvqb6FnMX8zpnJgv0e574nzyIlwvojN0sZ2AKE7RNTGkUbA0SgWD4TggTVPKBSMjFofc3Oqz3x3z9u0O/ZGP7YZiKNDS6I8ClmYKLM0KkvJg4PB//uU32e84hEnCqcUypq5yc7OP40d4Qch8PY+mitdnZcPefhDT7rsM73RpVq0HeqwfhXuT2K/ce18fyUkO11pn4ArH0lTUNC+t1d+RYP1RwDJUrB9SHXeKpwuVgs5ee0wQJSLGbuTZbQshVuE857N9IFTk/HDAN9/cmbjPtPs2v/q1W5NhpsVGjnbfywa9QhZmjue6A9tnOzunXD/ihXPNiXCKrsn83//dm3Qy4covPT/P0myJKEqQZYn5eo6d9pg0Fb976WR9ItykKUK0RimJdSXJEus7A/wgxvGjh+bcR4eZNvdHE+evStHg7BExu4KlcndHDHnLEqzMFzgxX+JEJpptu+HElVeWpXcUjTnKD5FlifMnqsKV+CG/m9NVyiWDC2Z9cl1Hkc9i5MOYKYhEL5hUrPeLa7VH7jMSCS9f3sMPxWe+tlBifWdEkqZoqszqfQIwd3YGE3f4ZtWaCsT8EPGwe+aduCofR5iGyrW7XcZHXGifNqwtPFjgf9oGOAC88HiTeK729A113t7us7E/ghSurPf5qSPifz9qeGLd24cNcBxClmV+8Rd/8Yd3MU8xekOP7tCbHMRTfPh46bkF/uxXz/A//t4N/ptffY1zq9WpCvYUHxoOle6OEpaCUCg6zdRyXFvv4HoRmqogAW/e7PBjzxuYuszYDamXxSS5rikkaUqaprQ6NmEUY2oyQRhzcqFMpWQw9kI6fZ9qxWRlpki9bLJzYGMaYvBjOBaWhN2BRxjHtAcuhZzKbtvm5EOGxLoDj+hwCj1O2DmwOblYZm2+xBs321QKBlv7IzjiBLI6X2LkBNSKJqqqUC2apGnKq1f3yZsatheiqyp5UyWIE07MlViZL7HVGmEYCkGYCgKqIoglC808i80C+90xpqEwGPli8tfQSNKUoqWz1xnzqfNzvHCmyX7PwdQVVubEfrmxP6JaMCaNo87QeyRxrdV1JiSJOE456DmMxsEkwYpiMQxyVJk8jhPi+773OEiSBNsTBeDDJLlaFJ9RrWxSKRgfS6vOx8XD3qunHd2Bhx+Iwn277xDHJrIs0R/5maWnTLvv8uwpkZh3hx7LMwWWZx+eDKzMlVAVMfSwtlBmr2eTxDE5Q8kSbhXL1FhoFIiShN5AqK0EYcxoLIaohuMASZLQVQlNk7m7O+TCap0kSQljoS4rSRJLM0UUReag53D2RBXXi7LPRmKrNcqKBRKqItMZuGy1RvhBhBckbLVGWIZQxxiNfQZ2QCmvsb47EA4CSUpKynwtz9gLCeKYcl7cu64fc3NrwAtnmpCmdIf+pIkRBBFxnOBmihlBlKCpCpWiweZ+gKoIR4zh2Gdzf4SmKshIKIpMwdKIohhdEwpyG/tDxl6EIoOsy9heSDGvM1O10DWFOE4eWfTY3BvhZIWa4TggToeTATgviB8glEiSxPkTNXbaYySJ902EPblQ5rY0wPJUTi2W8cKYnKFOiSCfALx2vUWUpGIwCri7N2JtsUytaPDtN3dIEw1PjvH8iPghj5clxDSHnBAlkEQpspSiyKLh3xt6qEqKF0aARBIl3N0dTIhKi80CQRBzfaMnCBPAnZ0hthtQsHRsJ5g0TknF2XcY97b77oSMGMcp7b7LytzjN90PzzZTV4+RI98Nmipz/kSNvY5QnfthEcynmOKHhVNLFbZbNlGcMFfPoyrysfXi+iFFSyUII5plk1tbfapFQ6zJx3j+JE25udnjxfOzzNQsdE1mdaHEXsdm5IR0Bt6kMXB9o8+F1fdPxH6vOHeiOmmm3E/4uB8HD9mDHhVHTXEPh8O1HzQ2meLDRRQlOEFETlf5I59d4dtv7qLKsDBTpD906Q5DukMb2wkgKxXstMc4fozrBsRpQpqmKBJomsxue4yhq8RxQhgmFC1NDE5rEiNb7BQpgiwtIZqVlq5iaDKlvEYUp5QUnbyp0hl6VAoGpq6gqSppKhTrLENlv+9Sycl8+y17Ej9v7I/o9mxq1Xv3VhjFSJJ0TEHvEEEYI8vHf6ZrCudPVNnrOuiqzOvXxSBLmqSMnIDt9phmxUK/L4boZ+r6USxcfA56LsWcPsk10zQVeURGYD9EvWwRxgndoUe1aHLuRJUfXGsB8KkLsx/48y3ldH7iU0tcvdsjb2m8cPb9E8ajWHzWR92H0jRlP1MtB5GLhnPJMbXPQ8XAH4YC6BSPh9lajjdvtGj3HWQZHDvE9SLypirUnHUZL5CoN/N4XsheZ4yuSpQLJvs9IbpQLugM3YjLd3oszpbY7dhISCzNFLi+0cPQFDpRjCxBECWCAJkRDmRZolLUUJCQVQnbCdnrOdmeoOGHMY2KxWzNIk1FzSKKEixdo1wwyVsqlYKJeV8d57C+IEuwMlugM/TQVZmTiyXu7A6xnZDFZmGiyn3Qc2gPXaIoRZGhUFAxNKGsu9jMZ8q9En4Y06xYDx3YPFwXlaJwCe7bPoszeV6+0qI9ECIvrhexfWCzPFvE0EUtIU5SakWDMKsv3P98R78XJynRkbrJFFNM8f4g9qKIUkZK0VSZcytVCjmNsRMSRAmjcZDVihPevt3m0+fnkCSJt251JkSs7sBjv+cwU7VQZHlS1wyihN7Q57kzDe5sCYeqr356CQBFkVlbKLHfdaiVdUhTojilmNcntc+fzM7rrdaQuUaB0I/pDF0cL6SU0/HDELcXcWG1xk9+apHvvLXLbM3CMjQsU8MLE5yeSxjFxFEMqGiaxNpiGdsNyRsqv/3ddeEOYGkMbB8pTTENBVWR6A0dTi3W8IKIatGkPXBpdccYqsxwLJySNFVBVRW2WjbtgSMUjccBfhgTxSkLjTzXN3oPDHGEUcxOe0whpzNbSxl7IbO1HDO1e73NYzUgYP9IDehx8H57H1P8aKBaNCfndMHSmM3uvflGHiQhnlQrmZQLBpv7Q1w/ZrFZwDJU1rf7eGHC8kyelbkiSZogS5KoKWoSaSqhyBKJlPLMWoO97piTC0VubQ+x3YhK0aI7cBk5PnO1HLO1HL4f8srVfRayQXaJlCROQIJe32exWeK1q/uomkKtaNIeOMLdUIUklXD9iN7QpT/yyFmaGMBSJN681cFxQ5I0FUrE2br0o4RSTkNWFXKGUCgOw5jOwH2oWMNe555738AO8IOYIE6Oufrd2uoLN5CBy9gJRY6Twl7HoVLQ6dkBJUtH16dr8pOEYk7n1FIZXZXZ2B9RzGucX60TRCle4IEsT5wqFVUmjhMa1TyfvjjHf/2vX81EVGDsBpAKR5tmVSElpZBTKeTK2I4Y0HD8iCSFKE5J04jh2COKExpVi2Je5BK1skWSJuiazMAOuHzrgLEXY+gqXhCSN1VOzBWZq+VRVQU/jBk7AX/wg22G4wDLVJAC0WtYmS1hmSppGhNHMvP1HGuLFZ451RDnfBiz2x6jKhKSJHL+Z0/ViOOEwThgeabA0kNqg7YToKvyRAziKB6nPz1by5GmKbYbUs4bD3W8anXdCVHd82MG42A6TDXFh45H1bUehYHtoigKSSo4OTsHYyxTplTQyVm6iE9Nld4owDJ1woz8u92yUWQghc4gZHhIoJVgszVmaaZAf+Rj6ArLMwVW5orYbkilYPDylT3ypkYUxxRzOpdO1HD8w1pkystXWsSJqBl87+09Zmt5UcdTJG5s9rEMNdtzUnpDwYM5XKMXVmts7I2QZSjmdexxIJy/dAVVlQmCmKH78LPv6LnaHwlh2VbXxjI1xn5EpagxHIeYmoImH6+drS2UUWXhDLQ4U8DQlEfW2Q5rJyDqIwd995GEfFWV+aOfXeEH11toqvyAwESjYhHFCd2RR61oTgZXQQzIPGyfsZ0AVZVpD4QzQkqIoSkc9ByKeY0gTDB1hfbAneyXcZxMBjhAOAqvzJUYjDwsXcGynj5C/tOEoxy7d7tnPq446DkULCEKq6tMxE2fJlzLBteOYqM1YGXm6R5o+u7bLX7ys2tP+jLeE25t95FJiUkhlXn9VocvPvejKa4/leB7ynFrW7hwLM0U3nECdIoPhr/0cxd4+3aHK+td/pv/4TX+/l/74rSBM8UHQpqmXN/oMbADFEXi7EqVgqVxc6vPdmvM6zcOyFsqiiy4mlGmLBnFCd96c4ckgWJO5XMX5+jbIvEIAkFobnUdvDBmaAfkTJVrm30urdX4wjPzfPUzJ9jvOqzvDPj6K5uM3XAyuCCKErDXsdk6GJM3VfY6Yy6s1pAk6YEJbF0TSYrjh+wcjLmTwuU7XRabecoFnWJOR9UUoihBkWWhcJnXkWWJnu2TJClBmOBlBGnXjwRRI01ZaBZQVJmcofLdt/aEBaAv7Ng0RaFaNFieKU2I7rqm0O673NoZ0B16oplbEIMr33t7j1eutpip5Ti7UiVv3dsrZUlM4h82Gw6HOx4GXRMJIZkKkCJLk/egO/S4tdUnTe9Nq/dHPje3+iRJSq1sPrYypuNF/PZ317GdENNQma1ZGJq45tla/qlX2OwMXG5vD0hTmKnlWJ3/ZAwgRnHMb313A8eNCMKIl56bp5wXgxyH54WuKciyzPNnmu/6fIossTxbJAhi/r+/e5XdtsN+T9zbiiKjKil/5LMrfO/tPWwnJG9q7HbGaKpQsTZ0BSsWFoyFnLAJLeZ0XD/i6nqXMErIWxrnT1RRFEGKrhR07u4Ji9VWz+HGZg/LUGgPPE7MlRjYPm/d6rB1YLPdGlHMGey2HZZnC2iqzMgN2W6NeLkzxg1CZGSWZgtcOlknjBMsU8ULxXAGQG/kZ6p2DtsHNooE/+73e9SKJn1bDGTpmkze0vj8pXl2Wjb1isl8Pc9Wa0S777LXGdPuuSiazNgJWdBFYaLTdzjou7h+xKVTNdwgxHEjUZhOYTQO2G7Zmf2o9EjV3tyR/cLxQlo9h9E4ZKGR58VzDydjmYb6UPW794LN1oiXL+8TxynLswV+/FPLH+j5pvj4QFPFwOFwHBBHCbd2BhwMXPq2nym7pOI/iUlx7igO3TmiEESEIJCkMeWCcOW4u2uz13ZQZIk4SUCSubHZ46ufXpmoViaJGJwCKOc1dCVTt1HlY3/7aDPj/sbGe2nSR1HC735/g3bfRVcVfvIzSzTfAzEgb2mcesrPvymmeBRURZ6oPIFYL7/zvQ3afaEUO3A82n0Xx4sztawICeG28TgY+xF39kb8ym9eZnGmyHw9z6WTdf74l07RGbj85rfXJ2s+/0N2aTB19bFVnu5XqpwShR4fH0ZsMsWHB9sJ+O3vbeC4ITlLQ1MkLt/pIklwe3fEK1daBFGMqpI1OTPFOST+7e9dJ4wScoZQqx57EbJ0uD5ikhSCKKJnCzKk5EGaIFw5EPUEw9AwdBUkCVmSGDohpMLN46Dv4fkRnh9zcrE0IVp1Bg62G6JIEkEsc3Q2Q1NkCvl7jaat1kgQjSRYnSsdIwre3R2y33WQJDi5WD6mkFfI6ZzOGlZv3eqw33FI0hRdlXg1cwZUFImf+NTSxCFUVSS2WjauH6HIEikpA9snTaFREYq+jidcAC+s3nPdDKNY1E38mDBMqBT1yTCb44YToukHwf1Opu8H7b7LnR2RO8/Wc5zI6hWSJKEp8qSBrCjSMWGQnQObrZYNEqzMFpmrTwfBnzTCKOZ3v7fBr/3BbboDlzhOSFPQNAUJgwRBNi7mddbmy3z37V1sNyKOUww/QpaEuvRwHCCR8vqNA3Kmhh9GVIpC3MXxQga2P2mcKooMaUwSp7hehGXKXN8YMHYEyXCmYuEEEUgSOUMVyvNJyitXW1zf6HNjq48qSyiywmzd4uRimd22w43NPnGScmqpgudHwtF36LGxN0RRZEo5HccLSVLQdYUXzzTp2T4/uHbAbF3sBwddQUDWFJmZmsXp5QqlI/vIOw1ptvsut3eE4u1cPcfKXGkyILLfcbCdkDRNkSVpEjtYhjYhJUvScdLFQc/lzu7x57PdkGt3hftXqaBzdrn6WISZKaaY4jh22za//4NtoihhpmZxdrlKq+ceiwM29oa8dq2F60eMxgGWpXJ3b8jyTPGYU8PYC7mx1efO9gDHj6gUDHKmytnlCrIsCWELU0WWpMy9QubGRp+N/WFWWytSLhiTHOLw7Jyt56mVLf6nr4352vc22GzZKEpWVzWEY2KapGzsDoniFFkS9Ym1hTJBGON4Eb2Rz86Bje2EaG2FgR3w1U+vTGr4lqEyHIcZAU8ijIWwl+OmaJrE9a0epq4wdALiJKY98Gj1XExDOJYYuqjvylKKJguytuvHxHHMTPVwnzueGx0qD6/vDYUYVEEQUBdnjscm99eAHuYO8CgMbJ8bm1nvo2Ryerny3m6QKX4k0KhYk3P6EJIkHRtiGNg+7b5HkqTsyWMkUr53ZZ80haEthq4tU2Wv45Cmiei1pMJ20NQEQbxgqVxd79MZuux3HbwgxA8STENl68ChNwxJpZQTcyVev9FmaPs4XkSSpiQJ7Pcdej/YxlAlomw9+GFEQkKaSqQJxHHMr/3BLQqWRpoKB+5SzuD0ssi1ZUnCD2JkVcIJYixN5mDgoSkhu1FCnEoEQczqIwQ5dU3Bje+pfiuKjClxzOHP0FVubvXZObDZ3LdZaOTJWxppmvKvfv0y3aGHqSv8+T969gPnIlN8fBAnKXsdhyBKmG/mkZD45us73NrqMRj5VEoWjbI5cd/TNYXl2SJ3d0eEkXClCcKEOHPWjJOUJEk5vVghjMWQXzlvoKkKmy2bke+RIuqOg3GIoigMxyHDsU+jYrHQFIJt33pzDy+I6Q1dgiBC11UUReZTZ2c5v1YXucKdNq9cPaDdd7HdkNE4mJzFBUtDU2X8IOTunk0QJxibCj/+6WUhvBDFXFnvcndvKPqlM0VGXsibt7ogwaWT9QcGD5MkmbjXKIrEl59fPDbk8V760++WR2vacSL3exGtmmKKx0EcJ1xZ7z60rvUw/Mdv3+H1G20kCS6t1Rg5AZIsEUYgKwqNoj45k9Mk5dtv7hLHCeWCThDEdEc+pKArQhgkyYqJhiFj6Cq1sixqkLp2fH2k4PqiBmA7AbP1HIszYm3d3R0wyHhME0fg/RF+IGp8M9Uct3cGxLEQcW1ULO7uDSd8G1WR6ds+SKLG0Rt5uH6EHwpO1H/3628xGgfkcxp/8afOUTtSZ9S1ew7gsizxL3/1NW5s9pEluLRaZzgO8cOEKE4nvIVD2E5AeyBiEzWrM2zuC3fP5dniMcHF++PndxNTsd2QgqWDBLYbkTPv1UKCMGY/c1oNw+TBfsh9z/2N17dZ3xkiSbA8U2TsZft9nFIrGeiaCtlbUrDu5VaH4jqHTqqSlPKrv3td7LeKxM+/tMbFD+C4PMU744P02j8uKFgqIzcgCGOiQ2rDU4YzSw/GAE/7AAcIodinDUkCTpBACoEcYyk/ujXYH2o0eeHCBd544w0Azp8/z4ULFx7538WLF3+Yl/bU4tZWH4BTD1HJn+LDgyJL/OL/4kV0TeG1Gwf81nfuPulLmuIpR38kFOtBKMluHwgl3N5QkJq9IBLWpEiszBTImyqVgk4hr6PKMqoiARIpMF/PUSuaaLqwKJUVGccLUWRBVJZSoRj/+s02UZSwsTfkoO/SG/lst238MGa/49Af+QwdH01VyJsaQZQI9UpEU9PxwmOvoV62mG/ksZ2QnKESJQljN8R2hRJmtWTwuYtznJgrMt/M8+L5GfI5HceNKJga9YpFqztGVcUQS87SqOQNTi1WOLlU5sJqlfbQI4wSKlmTRVUklmcLfOWFRb70wiLVonCkWJ4pcNBzmavlWJopUC4aLDRzhHFCIafjBTEbeyM8XygaF3M6eUtjZbZIPqcJ69ms2PkoLDQLXFyrUy+bLM7kee5Mc9JM2twbcfjQw/dqszWaJLjdgSdUVB8DV+92sR3xXnt+RBgKsn0pr38imiGb+/feq1bXmdhRPu24uTUkTQSRKG9pdIc+izMFXjjbJG9pzNZzzFTfu33dlbsddttCZTVnKMSZotPiTAFdlfnyC4s0Khanlip8+cUlqiWTF841eeZkg89fmOPFczNUiiaXTtb5wjNz7BzYE7LP2A1pZ+4yAHEibIENXaE78LJhMYO8KUhibmZP6nkRtiOKvYvNvCCb5HTOr1QxDJm97nhiIbyxP0JRpInN8dp8mZlqDkNXaFRM5mp5bm/3xRpxI3YOxgzGPus7AzpDjyBM2Ny32WnbNKsWfhBTr1icXChTMIUDSCGnkdNVNFVBU2XiNMUwVFRFErbKacrKTBFLV9AVhWbFwgsi9jpjRk5AmjIpvtyP5dkiz55uUMzraJrMbD2Hrsr4QSyUiz4ivH69PWnObO7b7Hedd3nEFE8LLpyo0qhYWIZCuZCpWmdFuVrJREIovWqqKIg+LuIkoVk20VWZZiVHuaDjhRE5U2OxkafVddlsifs8TVOePdWgnNco5jQunqqjZAlxztRYmy+TM1UqReNYI2OmajFbz2GZKrOZit3jYn13QLsvlF2CKOb1GweP/+KmmOJHDOu7AzoDFy+I2WrbtDqeUN/3I/woRpHlxx7gkBBEAlWGoROy1RIW2m/f7hAEEfWyxWfPz1Eu6MzVc3zhmfmP9LV9EBzuO5apvu+4aoopPg64st7FcUW+1x+6/OHrO4DgIX33rT2iWLhYkEjMVnOYhkLeUmnWTEhFfcr1QhwvFMqSmkIuy68LOY1mNYepi9xZV5UsLhZkjoKlM1uxsEyVasmgWrYm8X8cp8iIoQxNlbGO5M3FvIGqClEDRZb48gtLVAo6lYLOX/q58+i6aDiG0RGl2FS4dBzC86NJTJumsLH38PgbYL6Ro1wQeUghr4tGMqJ28tr19uT3kjQlb4l83jJVWj13kmve2OxPXC3DKGH3iAJfq+fiZaqAjh/x1s3O5Gcb+/fy+CeNjSN1hv2Ogxfcy53PZirmeUvjzBGCeRwnYoADID3Mvz8er+dHGXsdh++8vYskCeJinIrh7pyhkkqwWM+xNl/i4mqd7sARDhiZC20QJMzXc6LhLkGtbKEoEq2+OyE3RXGMqiosNgvM1YVC/MpckZW5Is2KSc5SsXSdIIxJ0hRVlemPA1Zmiyw2CuiqwupciShO8XxB3vD8GC+IyecESWTkhFQKOqW8TmfgYbshu50xYZRw0HUmtbD13SHru0OSNCUIYr7xxs6kmbvfcfDDmIVGnlJep1jQma8Xjg1wvBs29kaT59vLnu8Q51drnF2pUC0anF2pcu5EFYBTi2VKBbGfnV6qHHPc2NgfPvB8263RJB8f2oEgjUwxxRTvGa/faE8URncOxrx5W5zhaSpcSUEMRMw38qQIIZUTcyUkSSKMEv7El08yU7MoF3TmG3lyukp35NHqOkRxguNFdEc+Z5YruH6EriosNPKM3ZArdzoMHR/bCXH9iOFYKAcfxjZHz86DnkOaprSHHlGSEiciduj074npbLfG2E5Akqa4gSB+ry2UmKvnqRUF8VWSJVRZTEQcrXn82a+eYaGRx9QUnjnVoFowiGOhxGuo8kTgSlVlukOfgqVjmSqaLHNhrUq1aDDXyPEXf/Y8TpBmpHiTSsmkVjFYaOb57MV7eVwYxffcDuvi/Tjc/+53SXunGtC7YfNIzNQdeowes/cxxRT3Y6tlT+6l/sjnO2/vTWLgO7sjXjjXyPofZb747CKfOT/D6eUqp5YrXFytQwp+Fr+AhGVojMYhhq5SsnRURcINhCr12A2BlHxOQ8sIcyIsEGtDzVS8hQO3Rq1kkSYAwsXHD2L6tk+SCtdu4f4Hz59pTHKxpUZBOIVnwnGqIqHrCmEUkcsGQB6G00tiqPVevCJcBL70/CKVokG9bPHp8zN0Bx6mrtKsWIycgErm1NodepNr/8PXtj+Sz2qKJ4POwM3uXej2PbZaI+5sD+gNfWwvpN13Gdo+g7GPoSnkTZXR2OfmZp+FhhCBlSThHGNoIqdXVZkEmKnmKOV1Zus5njlV58WzDaycjoTodZq6gqUrRHFMvWQyV8sxcsVAh6beIwCTqdiX8hqWpWKZKooi0R8FtHouYy9E1xQKeR1ZkqgUDX7qMys8e7qO7Qn3j2rBIIrht74tODh7HdEzWWjmkWWJcSb0CIh6w0NqCrsdZ1KTiOOU1+7rQRzNsT9of/rEXIlqSQyVnpgvPXUq6lN8/HHQdyeOaffXte7H0A54/ca9WPvlq/sU8zqmLpOzVBYaeU4vVyjmdU4tlslbwun2cODAMlVMTXyvUrSoV0wUVUbTZE7MlVidL5K3xJDFhdXasb9dr5jkLR1LV8SQiHTceXdppoCpKxQsjZXZAnlTy/YqDQnBS9B1hZypsrVvT9bobnvM+o4QtCYVwjAFS8fIfvfKnS6jsYg/x07Id9/eO3ZdZ5Yrk9ifNOHGZh8QQjev3WyRt3R0VcHUlYnb8CGOxrntgcv1zd69n7WO1w0P+VKWqdKsWg912zrE0Tj9YfvYYa8YwA9iDF155D7TGbis7wwnn/n67pC5rH9bKxl87sIcq/MlinmdcyeqnF6uTh4rSRJnVyoUchqFnIamKtzdE88VxynfmMYRHykaleP3zPxTKL6jKArNSg5LV8hbOs3K09er648eJGEMh8MncCUfLr71xtO3flMSFFlCkkCVZYKnz9jlQ8MPVWbxr//1v87s7Ozk31Mngw+OQyeOU0tP3zTV04aFZoH/1c9f4L/792/xy//zZX7s+QWK04RsiveJ+xXcZEmakDXlbG+UJQkJiYtrdVazicl/9/s3ieOUKErwwwjXD1mdLzPfKHBra0C770yIEZoq1Jo0TfxfkSVkWajW/eB6S6h0SwiVKlkCCYqWQa6qkjM1+rZHpWAcu577sTxbxPHE8MnYC0lTJq/DD2IsQ6VWNukMPDb3R2iqQpwmtPvC7jBJhbVwtWDy/GmdmWqOStHghbNNVEVi58ChnymFN8oWl07WKOYN7uyOaPU8zq/WWJ4touuCZF7KG5TyBiuzJRQZXrlywOa+jaZI1MqmUBg0Nc6uiETl2t0ub9w4YL/rkLc06mWDhaZIrhwv5AfXWmy1bGolk0+dn+HsSnXy2DiO+Te/e42N/RFhmPCFZ2fJm8bk873//Xpc1T7lvt8rFXQunfzkTLu7fsTdXUEgrJdNPimhQJTG3Njq4fsxmiZzca3OM6caH/h5NVUoanpBTJSkVPIGqwtlijkNRZaplkx+9ourj3z8c2ePu34cvQ/Xdwe8cfOAWtHkpecXKOR0ygWDcsGg3XMnZIg720Ou3e3hBzF7pTFRnOD6MUmSoBoaL55tcnal9v9n7z9jJEvT+17w9x5/TviI9K4qy3a1n56emdbM0A45FKmRocyFcCVwdyHc/SBR0BdBwF1gxYW+6JOwAlbQQlhghbt7pV1JC+leSVekII5EcsixPdPTvnxVehfeHG/2w3vyVGa5rq6uNtWTf6LBqczIiBMR53XP8zcy1SZJePNqGyGU3HVDNk6DKOOFMy3UnBR26XSTt67LgpIilJzMIq9LCJleopAVP9MUhSSVsbGKmrA0W6FRsQjiBMvQZPqIqfHqM7O0ex6moeHkhWJVgaXZCkszFXojnyRJEcDIDfHDWMZRP8SduloyWJwus7U/wsmFIwDKkaJOkmZc3+gxciMqjs655caxsbzXddncH6EqgrNL9Q/cP9yV3JoL954stg7G7LQn6JrC+eX6MYfDE3x8KDsmP/fyIm/f6LDfnZCkGVnuVBNEKUGcu2FJQzlEdn8DC0XIYqMQss2oawqtuo0XxgwmLpWSgWEozDXLR5qSCmM35L/9eIMr6z0WZso8tzolx9mRyXi6YTN9Fzl6uz1m+0DeL+eW6rLw+SFwdxFUvfsmP8EJfoaRphk3tvoMxiFpmrHXddnpTIrGpB/J+SFNMxRFirgfENYD+e8qjkaGTOeJk4woztDiBNDlGUOAoijSKSdNmW44TNyI9293aVQszizWHnnv+kmtJ0KIY4kln3fEScr1jT5jL5Ji7qX6iQv45wUCOgOfIEpk8maS0htJwk2SpkzciCSTBItnz7T42koTRQjev90tCAZhGKNqSuE6mSQpp+arRFHKyA1Y3x2jqgpqLgxtVmXinCIEvXGYn9VV4iQtRN7NqsV0wyn2uiXH4NKqbMy+ee2AOJZObomS8eyZFn/jz79QvPahEUHJ0khzB/zD1yve9t01kIfcz7al83J+jmn3Pa6sd+kNA1RFULI13rx2IJMFLY1m1SreX2fg3Xl+IY7VnY9dy5GXFoAXJtIkR0gSy5W1LhM/vmfsRXHCtY0+rh/TqJicWawVrxFECdfWe/hhwlTdfiKJk4oCHPLTxfH3ULL1+7vi5XP8YdNb3PU5nODTgaoINEVBIFCFgEySMEY5GWvsRzRrNpap8eXn5tjYnxAmKXqsgJpRKRucqdm4YUISp6zvjdjrygTKly9McXNzwK3tAbNNh0unp/jCRZVnTjV550YHXVNkHWZ3gN+NC5KGrirMtkrUSiabeyN0XWHgBvRGAbYlCYd6nq6bAVVH583rHd673WVppszzZ1t37kkFeXbJ7z8hBId33bGzrJDOkYdJNdJYwuPHl/c4dSRR42E4djsLjgnfHUvnS8/O3fM3lqnxzKnmPT8HOa4SMrpDn+7QR1VFkV54v9f0g5hrG32CKGGmYT800XdtR5romIbK+eU6lnGSon6Cny0cPfYLQDtC6FKP7BVWF2pUSgbdgU/FkYKN5TxJ6tDl9yeX94mTtJh3iulHuZO644cJg0nIjJELWPMHTbyItd0RrVrMN77UvKcmJ59D9kOCUIppFaFQLSmYhk4QSeOqIE7BiyjbOsNJwMa+JJdt7Y/Y7UykEE6NURT47lvbHPRcFqcr6Brs96VIHwGnF2oIRdYIgyiCSDoPG6qCYajMNGwpnBWCpdkKJVvny8/NMdt0EIiCrAZw8VSDiysNvv36GmM3YmW2IufB/MBo6Cqn5qoP7S0EUYwfSpFfnKSP7ASrKAI3iNhtT0hzt+STfukJHoY4Sbm23peu/2WDs4tynx0nKbd3htLMrWKiCWnSdIiFqTIXVu6s47udiUz1VgQzTYfNvTG3tnIitgDLULBMk7JtoKjSaVrJxe+IjOFEnoccU0NXRZGyI4ScmzRVIUsj+qMATRU0qhbNikmGdM8mf4xjaeiaYLcjazgHPZfd9gRdV0lTqFd0SVq3ZR1mvlVhum4Xe3PXj7i+2SeMUmabDsuzFZ45fe9+ZXm2UqSUuX7EXkf2f+sVk5Jd5sJKg96hUVeWFULby7e7nFu+V7x1FGMv4sZGnyhJWZwuH3MWP8FnB0f7TEIRKIrAC6R4I4gTKk5GdyQAhSCI6U9C/vinm/hRgq5K4XgcpygizwDP5Np4ea3Lz720yHTdZj9PyphulLh0qsHltR5CyDSpqYbD+eUGaZpRr5jMNh32uxP2u5JgPszA1BWmGw6NssVu26U3DJn4IaamkKaHTu/QqlnMNBxaNRvHMTB0lZ97aYE/+Ml28R61POHi8H07ps6pOZ25lsNu1y0KoverKdzdX7+7B3H0b1w/4q3rB2iqwvJspaivdAYeazsjELC6UKVRse77vcg6aOO+v7sfBuOAm1sD0ixjZbZ6T//lbhzOdZqicHapdiIS+RnE/bhED3ysKkW1+z0XRQhaNYupmkPZMXN+kGDshrh+xNBViaKEg75bGKnquhRGZFmGqatUSgbNiiW5Q47OxIvxghhFCPww4vLtLmNPrudxnBJGMVGS4YfJsXVHUxVWF2pFEremimMpXVGcUHaOp3Ptbk2IU2kWWzti+KCqgrolzV2BwhD1EEGU8L/+0Q1cP2J1ocZrz88Xdc0bm32SJCXKhWeGpuSGUfJvdU2KQg73KHd/0u2ex+0dSe4+5AkdxdG1+uEQxxo793zHd/3b1NUHppjfPd8pCpQsnbQq/043VL5+fvGBV1J2jKKueOtQLHP43A/ZO5zgyeDR75nPJqRhlEzgPTSPetqgmp/2FXw8KDtPH9/H1GX6aJplqEJgaE/f/fSk8InOvr/yK79CvV4H4G//7b/Nb//2bz/0vyeF73znO/zFv/gX+Qt/4S/wrW99i3/37/7dE3vuTxsnSRyfLL71tVVOz1cZuRH/4vcuf9qXc4KnGLWyyUzTQQjpVr8yW6GcNylWFys0qxaNisnybJnXnp/PI1AV/sovn8c2VcI44fRCjZlGiThJcSxZwJifKlEpmcw1S9imxuJ0WR7U6jZfeW4eRVHY7bpYhkbZ1lA1QaVksDhd4vR8lVefnaFVt6iVTC6uNKmVDRpVi6XZ8gMjGlfmqji2dOVu1iyqJRNTV3H9mJEb8saVAya569XG3pCSrdMZeCRpmscijpibKuWx3iYrcxUMXUVRFH7hlSUWpktoqsLphSq6pjIch3QGPut7I/b7Lje3BqiK4MxiTRK288jz27sjLFMlS2UDomLrlCyNlSMb4msbfToDnzjJmHgx795sM8gd9m5tD1nblXGze12X9291SY4o6398+YBb2zKSPUkz3rnZRVEEy7MVLEPj9HxVRp0rgoXp0iMT2i6ttphp2gghldhPQgjwWYIQgozsGKnk84Cb6/0i4SJJMm5sDj7gLx4NcgzbCKQTRr1iIoB62XpobOqDsDRTpmTrssnWceVYDWJ+8M4u5dz9Tgh47myLuakSt7YHjNyoIHrudt1inIF0952q28w0pfO/pql85fl5KiWDsRsx33JQFTkOtw7GaJrCmcUalqmxNFtGUQTPrjZZmq5QLRk8t9qkUTF57qz8mWWovHC2xWzLoTf2qZUNSpaOF8TEScoXLkzTqlpUywYvnZ+iZOt85fk5KiUZxfyNV1eolGy+cGEGNS8OvXh+GkWRiSmWKYtS2T0lGYne0Oeg55GmGasLNfwwRlUFL52fonqkaLrXmRTk28E4ZO+II0oYJaztyrkijFJuPsK98eXn5rFNFTUn77VqT9bBYOJFbOUuZ0GYFMWnE3z8WJotY+fpNrU8TapZNbEMDdeP0NQ8bSsnQD6IpG0aKo4pnbNUVZIzozhFUxQsU8vXoRq1skGtZHBmscbybIUfX95jMA6plUzaPZ/9vsvqQu2egt9ReEHM5t6d++Xugt6jYHWhxun5KkJApWTwyjMzH/o5TnCCzyv2ey69YUCSSEcoIaTQ1Q9ipmsWFdvE1BVMQ0VTBKYucGyVB9XShQJRnFG2NXRNQdcEuq7gmBqLUyU0TeErz82haQqb+2NJoOx77HQmDCdSaN0+QoR+GE7Wk48PO235faRpRn8UsN87SeX6vGC6ZmEaCpDhWBqrC1VJ7FYUSiVNrv2ZFHiJ/NyUkfGV52ZoVAwUId3mv/nlZVRV4Fgarz47y+EfSpc5eU5QVMHqQqUg45VLBlEsSXp+mPDezQ5hnObi65BGRYrs6xWTl8/fEYO3qha2qSLIMDWVmSNE653OhGG+D5aCZgNFkcSmM0eE0qausjJXQVGksORBTUiQjpaWqSIEnF6o5uehDF0TxXyTppKAVbZ1SS6xNL707JxMM1MEz529c64u2ToL03cISbPNkmzKCqg6MlngkMzSHwUPHHub+2PGbkSaZnQGPp0jqYYbuyNcPyZNM/a7biHM+ShYXaih5e9nZbbySKRKVZFkWDUnrD1MrH6CTw6zTYdvvLpcjA95ns5I05Q0y+gNfbbbMtFydaHOi+emUJAkjem6ja6qzLZKLLRKeIE8kxq6Snfk84N39iB/3F7XRQhYnCnj+jEzTYcwSnAsjVcuzrI0U0FTFWxT56Xz0/hBzG53wumFKm4QE8cp0w0b29CZadiYuoqpa6zO17iyLkkPWZbRHwZ4QczCdEmOr6kyp+arVEsGl043ee5sC0UR1MoG33h1ubiPT81VWZmrUnHk+Bt5IY6lkyQZt7YHJMkHW62dWawde76jqRqPgzOLNdJMjulWzS6Mc2xTntmmG/Yx4tba7hAvkGN9t+MynNzfeb4/CtjruqRphufHD0z/PMEJPs/40qU5yo5cpy+sNPjCMzPFPuD0ghRA1Stmkd7bqJpMNyxqZYOZu5I/zyzW0FSF6brN6kIVTVVoVE2majbreyNKlo6hK/THAYau8OyZFo2qRa1iECWHwk+Tm1v31jOmGw7nlus8c0q6E9fyNOyvvrRErWzSqlucW65RsrTcqVcQhClBmHJ9o0d3FJCm0mgjzvcnmqrIFPSDMf/m29cleVYR3NqSgrtzS/L5pqoOsw0HQ1epVUy++uIC5ZIh08erJooqaFRN1naHhFHCxdMt5lpOToS1eeHcFD+5ss9gFOZz6ZDtgzGn56v33Y/djbEXsX0wIU1lEtPazqPPVafnq3SHAUmaUS+bHPQ9wiPpSCc4wd3YPhgzcuU+uzcMOMgTe2WvKAMyyDJefXYWMx9rL12YPkZcDqKE9d1RUWc/6HnMthzOLNVZmatQMjUsU+PZ01KwZRsaJVtnpmnhWBqWKQ2aLFMDQVE3cWydWtnEMqUxVJqnb2iKQppmXDrdpJmTz59ZabAwVWKuWSKMUixTYW1nRLvvMfZjBpOQMI5JEnneK9s6M02b0/MVOeflZ6n13RF+IM81O22Z9vNBcCy9SCUwdbUQjr/67Ayn5qoEsRRivXB2iuEkvOP2/QDc3h4QRPIaNvZGHymV4AQfH5pVi2ZuiDfXcji3WCfLkPe0oeX7fZ2KrXNrZ8RgHOCFCUkCAzckSlKm6440esqy4oxs6hrXNvrstCekSUaSZKzvjag4GrapAYKyJc8N81MlyrbOdN3m9HyNX/jishQlIdfRZsVCQaCoYFsqvZGPFyQIRaFeMamXTRxTY2mqIs+2mkJn4LMwXeKbXzkl1y0BzarJt762CsgzVPXw3J4brR1b3+5TU5hrlbhwqoEQ4Ng6X3r2eA9idaFW1AzSLEMgSJKsEJIlacbNrQFxkhLH6RPr84I05o1yc4xbO4M7KSb3gR/GxVwXRAk3H6Mfc4KnH1M1m0bVvG9d627IU7G8pzOkMWKlZBS1NM+XnIAkyTjoeWx1JrmqS9bCqvkZHQSVssniTBmRixYbVYvO0M/N6GJef2+vqJv1hgHbHVfyZ7IM149x/TviiumGwzOnG7J+aWr80heXJc8hf08vX5jByfulzZpFxdGLnqgiBCtHxvwLZ6elqDnnVv3GnzrFXMtBEXK+0HWV0UTuia9v9I+dwRdnyqwu1PLEcoWff3mB1QU57zQqJpdW68f2KCXHwNRlXXJhypEpXGkma349lwfbaz0cuqY8dB6bOzrvlQ1m7zoTHUW9YvHCuamCF/XKxRnSLOPw/z4MVhdqsg4loGRpfPMrK4/1/k7ws4XD7Xvxv58yhMm9Z9fkPj/7rOMuHxr+6q9d+nQu5CPgi5dm0fOGt2PpvHJx+gP+4vOLT9T+5zd/8zf5V//qX/Hiiy/yW7/1W/zO7/wOZ8+e/VhfM8sy/u7f/bv8T//T/8QzzzzD5uYmv/7rv86v/uqvUi4/OMrqacBwIiMIAVZPmnKfCFRV4f/4F17g//R//xN+97u3+LXXTj208XyCExxFGMZ8750dRm7EqbkKL5ybvsed8VB1+7UXl/DDmLWdISMv4uxSjUbFIowSdF3l8u0ujYpJe+Dh+hHTDYfZVonF6QrVssnYjTAN6bx3tyI8iVNcP0JVFKbrJn/u589x8VQDXVN4/f1d3rq6T3cYcnqhwupinbMLVXa7nnRzmpMChcFYNiEURbA4VcYxdeanykw3bHbaE378/h5CUDi3HLpxVksmZxfqbO6N8YOE9b0hQZhQdnR2OxN2OzaWoXB7Z0i77zFdt/mtX7/ETsdFUwXv3eoShCFRnOIFMVv7Yyq2LOK2atLF5q1rB3zv7R3aA9k4qDgaC9MVlmbKhYhlZbZCd+iztS/dNEq5G04cS+ef9d0hNzb79EY+hqYw9mI0VcELIsr560XxnU2crilM1x1evTRb/Kxk67x04cNvMAxN4ZtfOf2h/+5JoDfy2T6YoKnS6fjjcAk0dfWY8PBo5OTTjDgFS1dJtUOH/OPva+SGbOyNZNFhroJj6aztDHnnRhtVVZhvOWiaSqtmMdcqEcWSCNnp+1w63eS15+e5tT1A1xSWZqQQ6cN8dlsHY968diAPUyJjNIkIo6QQ0cT5oeRwDjp8/bEb8c7NDiM3JElTDBVMo4KuqSzNlDANlR9f3mdtd8RL56e5eKrJpdWIZ3ZHvH39gK22dKEyDY2zS3WeOzvFD9/ZoT8OWJop8+qlWfww5ntv7zDxolyQYRaOelkm3SPSFJI44+3r7cKJPE0zZhoOf+kbF9BVweb+mOEk5JVnZvkLv3DumEDouTMtnjvTIklS1nZHdIc+QggGowBVFWzsD3Hy2MpDxx3gmHCrVbM5u1S/r8vG0ce5QcSV9R7DSSiJarnTqnxcyuaBi6YpxXd9P8w2Hf7SL1944Pe5uT9iMA4p2Tors5UP7XBw9/2ZfE7G4WcBG3sj3r7RRlUEX352jkb1uFOTZWg8f2ZKOjDmRMHrmz1MXaXd9/DCmChKiJO7XGZzKAJUBb787BxlW2NjXzrgJ2nGxv6IWkmXYs6WwzOnmvziF5eLv337+gGvv7eHF8ayqKkp6KpyJ4b8Abh7rnnc++XrLy/ydR7s/HKCE/ys4nBOzpDrxM2tIYoiCpHze7c6JDlpeeLFRHGCF8Rkict9e/wp6HkkeZpmOLZO1bFYnivxra+fPdYckCTogKvrPUZuSEbGhdxd78Nc+yE+jvVk4kVs7I3IMlieLf/MOM/d/R18XvbMJ5CI41SmYRgapxcqfOnZeQD+7R9cZeJEJKkk4/thyq3tAaoq+NKzs/yP//uvFM/RHfoszUoCQhDG1Mtyz3HQc3EsDS+I0TWVSsliccYkjBKyTIrNXT9C1xXiJEENJTHJ1A2WZkpYZh3H0rCPmBAoimCnPeag51Gvmgz8kPdvdeUvhWxgekEsiSMlA8fSUIQ0ojgKy5BkEE0VqEIa0/hhcs++2DY1Xjwnz9K9kU/Z0hlZOpahkaQZ2wdj4kS68j13plXMC/2RL50Eo5Tpun3MFdP1I25sStfL5dkKF3NX/iTNaPe9wsWbfOt+uA0bjgO6Qx9FkeSOo1jbHfCDd3bQdYXWXXu+Tt8rUsxOz1cf2dX6KGplk1cufnjh61FXwxN8+ri63uPqeg/H0vi//A9f4X/9o5v8+P19+mOfsRcRhAn9cchhiWnkRXz95QVmmyXafZfBOERVBacXapRtnfW9EbqnYKgKEy+SiRwDj5Kt06hYeX1PlUSkKKFZs3j10ixRLB2Wv/PmFu2+x9reiGZFkhXHXiSNVcomK3NVvCAmiGLGbsRwHPDG1X3aPY/VhSr1ioMXxLx3q8ts0+H8cp3nzrSYeBHru5IkcbheR3HCW9fbvHXtgJKto6mC9293CKOUMzmBOzvS8E2zQ/LJg1ErmyxMlfjJlX3afY+Xz09zc3tAd+gz23T40rNzdAYeux23GH9plrG2MyROMkxDIQhTDF3JRe8mL5ydOuZqqqkKF041WNsZ4vox3aFfJP7cvdd50Pp8cuY+wSFcP+T77+zi+vGxhOenETvtCd2hj21qnJqvPtQMAqBRtXjh7BRX1nq4QYxtasdq5yDNfY66894PYzfk1vaA/Z7LTMPm0mqL6hFX3uRIqlmjYrGSGyydXayRZfIcNVWzsQwNP4i5stYlTqTofXN/Qm/ko2sKrz2/wF/+xkXqZYN/+wfX+emVffrjkPlph+fPTNGsWhi6yo8v77K+O6LT95n4sSSf5x+FKmSNuJcnkAsyhm5I2PPIBJiaQqtm89UXFzi/3OD193f53e/dxvdjqiWTL12aK9yFf3Jln4Oey057gqEpPLfapGQb/MqXTxXvPcsydrsuBz0XQ1eplgyiOGWm4Ryrbz4Id4vnkvSDxXSHcCyd1flqYWp0KEI+wWcHP70qU+brZZMvPz+PcTfD5xPGg9ZQXT3uMj3TdPgr37hTFx97ERv5HuNu5/o0zXBMHcfS+bXXTlGydN663mbshmy3XSZ+RLNi8fMvzfHG1S6b+2MqjsHCVJnt9hhFwNyUIY3lNJXbOwM6A484lUlkh6ng1bLJn/35s0zn4+o/fOcG33ljCz+KmWnY9IYybUe6lAOZjlAEyzMV5lslLp5qsDxbQQjZf7y5OeDKWpfBJMLQlILMfW65Xuw5HoSlmUrRHzqEqqr81W9eZPtgzOb++J7P+MN+Jyf4ZHH33vXo2TGIEtZygcF03ebKeo8kzaiUDNIswwpivChmOJHmhyM3QlXAMlTKJYuaqZIhU/hGHsw0S6hC4IYxW/sj9nsT0lS6t8+3SnR6Lmt+lLvzG1w83aRZsWjVbVZmy1xe6/HW9TZzLYe/9qcv8tb1bnGtiiIYToLC4EVVBLMNh6++uMBL56fpjXyurfeJ45T9nluIKW5sDXnuTItXnplhtukw3ZC1AVVV7knTe9D61h36RUrwS+en+cKFaW7vDNnreoAozsfVksEX8jP26+/v3bnnM7mmHhLaDzH2Qt69KXu4p+aqubjl8XBsfB2umQ84/JzUBE8Ackw9atpLlEDFMfMUDIFpyPFzOIbWd/u8v9FjNAkpOTpTdZnGm+RGsf2RJ01ksgxVQNk28sQp2UPUVEGSCFRFEOVJ4kEY49g6WZqhawpJkmHoCus7A/7bjzcB+KXOYfvtAAEAAElEQVQvLiEEMnXYlI87eh7ywoT3b3fpjwLOLtVpVs1jAuRW1WL5yJr33u02797oUnEMTs/V+N/9meeK3/3HP7qRC7IS6hWLdt8t+irnl+t840srfONLUpygawpzrRLPnZFnmzRLCcKgeK4kSTjoe/hhTMXRMQ31WFrVQc+jPfAfq+Z39zy233WLBM/T89UHpojeDy+dn+al3IRnv+eyvifTlk1dmmve2h7g+jG1snHP3mGv6/KTy/sAvPLMDL/+1VV+/aur932dQ26FF8QP5Tac4GcHcZLSqJgYmoKqSiO5pw29wb0GTL0AnraKTcmGwRHdth8+fUKUii0T4YMoydMUf3aTjD/Rd24YBmEoWQY//OEPmUwe7gDwJDEayQP+eDymXq9jGI/X+M+yDNf9bDggvnezA8Bs00bJIty7IsNO8PHg7ILDa8/N8v139/h//vu3+R9/65VP+5JO8JTg9cv7bOzJAlp/FFCvWA+NSbuxOWDiyXF9faPPyxdkY9LzYyxD4+b2AENT0TRFuj56Mbom6A186fwUp7mDzXH4eUHH9WMyYDQJWNsdUrY1/uvrG/SGPv1xSGfo4QUpm3ujYmMfJykXVhpc2+gXRYPbO9syUhGKhgpAu++j5jGkSSIPDM2aRW/kY5sqWwdj/DChZGv80RtbGLrK2I24vTtkdb6Gaah0Bh6b++Pic6qVDFw/Lg4guiqI80aBH8a8de2An1zZpzPwGIylE5SiCPwwRtcU/CDGD2LSNKU98FldqHN7d4jrxTSqJl+8NE0Ypex2XBlzjGCnPaFekU7/t7eHRTLGKxemefdmh94owDRUvvbi/Ee9RT5VRHHC9Y1+UaC6sTl4aNT642JlrsLNrQFZHrP+UYpenyX80quL/Pj9PYIokSkyX7hDVE7SjKvrvYL0c229z/mVGn/85lbh9np9s8+Xn51j4kU4ls5ed0JvGICQAhDLUJlpOkWDtFWzKNmPlu4ShjF/9MYmSSLTMEZuyDOn5Ea4N5JkhJfOHxcc3doe0h8FkKWEYUJGRppCpqmEYUoQxaQJvHery3TNQRGCP3pjk7/4C2e5utYjTlI0TaE78Cg7Bqqa0qrZvHF5ryjiynnQZH13xNa+LCy8e7PDy+encINEugCXTTb3pYPcrZ0Bo3FISsZwHGIZCq4fYxoqp+aqhbPUxIswdfW+RYTNgzHtvox5vrbexdBVgijFD2OWpivF51/OP9tG1aLccxm7EaoqWJi+vwB4tunQHfp4QcxBz2NxqsxwEnJ1vcfLF2aYaTrsd106Ax9TV5l4ERMvwjY1auUPl9fYGUhC2OF71TWFxQdc14NQtnUaVZPeMEBRBEszT7ew+bMCP4z54ze3irH+Rz/d4s///L2C9cPP/Np6n/2eS5yk7Pdlsy8ME5L0TrT53UgzMBSF6xt9pD4oY+xGKELkJO8YL0yphgkb+3ecZjb3Rrx5rU25pNMe+FzfHBQpYFfWe3zhwswDxUAlW6dZs+gOfITgqY54PcEJPouYrju0+x5+kBAlKWM3RFUVxm6Yi4klwdMPY6IoI4oTOkOf+AG1uBTI0pSDgU+WZShRSpYFPGs3EHfNK42qyR/9VLo/RnFKZ+Azno4emfz7SawnV9d7BTHog+arzxNmWw69kZ87e6oFWeQETz9ubg3ZOhiTpFJYsHjESe+FM1Ns7Us3ZFVAEMSkqRR2vn29w698SZL2gijhxuads5uqikLkrKqymRhEae6oPGR5tkqWZfhBzMQLiZIsd6XWCaOENJMF/rEnBSQTT6aDHa75f/zmFrd3pZhqEsT87ndu86tfkdfSHfpS8J3IBMyNvRH1fH97baNfnDOiOOHaRq+45s39XSq5+OJh++IwTFjfH0khmx8TxgmVkgEZjF0lb1CTX+e2PMMA3317m+mGg2PJ8+a19T5B7g59uEdXFYEi5Od56DrbqltYhkoYpei6dNE+FIcLAZqmEMcpQsB7N7vF7yZuzMp8RTatNZXOwC9+d5vhU03aPcHjozf0+eF7u4V4+7tv7fLKhVm29sd4QYTrRaAqRHFKfxIUboxX12R67+a+bJLPNm0mXsjb1w6wDY0oSumPJlQcA1UodIY+/XHA8my1SJOdeDI1BiHrfzvtCdc2emzsjegdmhqMfRamyhiaimEoLE1XyLJMCiIaDrd3hly+3cPQFAxDYTM3czmMue+PAm5mA5451Ty2Xl9d7/OFi9Pc2h7y3Te3ZcpHe8Ll211W5qq5SUrMqbkKYSwPP/NTJfRHIJfGccof/GSzqAX+q9+/UiRX9kcBtqHi5oJ5gFvZIE/fjQjCmLW9EWcWavncMeD8coOSrdOqWfm4leedW1uDImXjxmaf0vlpTF1lcbpc1ERrZYNa+f49pnrZpOIYjFwpwvmwZ/YTfH7w3bd22c3TWn/43i6tmvXE01Y/CfRHQeFmO/FkjezUXPWhf3M4Bx7WSL739g6/9tqpD5XKnGUZV9f7XNuQc0xvJPseX7g4U9RID5O70yxDVQRhToa+ttEnCBNMXWPrYMLZpVqRoBvFKa+/vwsIekOfjCwXsCWMXSm82W6PiWN5PnO9mK88P0+jbJKk0tt25MnEjUPRlhCyZlM2VNpDn4qjM/YTFKTLp3Qo1hiOA96/1cXQVL739jbtviTNvXuzzV53sRBx1Mtm0QO2DI2Dvk/JPj7n7Pc8GhWTrf0RYy+iVbOKlJNHQbVkUK+Y9EeH57kPV+9Znq1Id/C8zv84qdEn+Hhwe2fAOzfk/dMfBeiawlee/3T7V/OtEv1RQJQnXh0KMpZm7qyt9Yp5TKSVZVnRawDwwpjphs1BzyuS7A8TgyceDMYBIzfk/VsdNvZHlCyN7faY/+WPbmPoCo6lcdDzGIx9skyg5mkAhqZQsnW6Q5/eOCzEpXGWEoQwnPj8t59s8t994wJX17r87vduk8SpTN4YB9LNP5UO+0IVhFGC5yfsd10aFZPdjotlaMw0HdZ3R3QHPq4fs9uZIADDUPHD+Nie43Ew3XBoD2R9ydAVZlsPryMsz1aKc+WH6Ted4MnBD2JubA2O7V0vHiHw3tjsM875P//19Q2qjo6qKqzvDiETeGGEHyX4XszIi2RfLk/uTuKUqmMyckN2DiaYukoQxfTHsu4YxwlpJnBMFdePGLoBQZgQBAleFOMFMg3iML3mR+91uL09xLY0ukOfasngzGJd9uXyPbQiKrR7PmNTGknOT5WO9PdNqmWD92528IKEesXku2/tULHlGoeQYoWjtYhHwd31kTQdoCiiqA3c3B7gWBqOdfz+XpmtcHt3CJmswR2SsBemS0VKVRilTDxZK7i20SvMJh4Hy7MV1vLXmzvyeveDY+nH5rqTfswJPgglR6dVt7m1FSJExoX5OtWywXAcoigCy9TzfkJGmKTMT5WY+DI1ysoy9nseEz8iy2Btb8jEjwhjmdwjBKhCIU5iQAoUx56sA6YZOLYmE3MziOKU772zgxDybP//+c+XUUSGUOT9/h//5Ca/9Rt3hBe//4PbRVJe971dfu7lBXRNJcvkGn903N7aHvCdN7blY4c+/+l7t/irv3qx+H2SpYzzOoiiBLx57QBNla/7+niPV56ZYTAKiwTio2ebetlE15Rij3JtY0A7Twx7/fI+K7OVwrTi/HKdtb3RA+ftD4OxFxWciYkXIYCzS/XHei5VCMZuSBAmxHGaC0O04rltUyvOoWma8oc/3iTMG0x/+Ibc4zwIm/vj4vN4XG7DCT5fqJcNEEIKntOMZvXpq3GsTt97D5+Ze/rq94O7aPffe3OTVy/NfToX85hIkaZGSZKRZeFTKQp6UvhEKyrLy8v883/+z2m32wD84Ac/YHd394GP/+Y3v/mRX1MIwT/+x/+Y3/7t38ZxHAaDAf/kn/yTxxZxRFHE+++//5Gv60ngB+/JjUKrzGfmmn5W8OUzgh++Bz+91uH3/vCnnJo52aSc4IMxdgN2OxP8IEbVFN66fsDYC6mWTOZbpWNkpP2uy9rOIHdQMsnyg89hJHW9YkrHbj9iMAmJkxQvkESLIIwlkTNK+cE721xZ6zFVt3nhbIvhRBYgl6fLTPwYTVO4uT3g5vaAuVaJLI/9DqOEziCmM3DRtTukkjCSG/9DAcdwErCxM2SQF4K32xOGkwAnd/VOk5Tl+Qrr+2MWpsu89sI8r7+3SxDG9Ia+fL4kI4xihICRG6HlRU7TUEnTDC+Mi9fyg5jVhQqaBq2qJGRoqpDOVH2XwTAgihL5WWbSbeTUbIXzKw2qpTvjtDv02e1MUITg115bhSzllYuzVEpG4VRTdgwunWky07eZa5XRNYUwuuNGZdsGf+PPPcdB36PsmHQHHre2ZST63cWgJ4U0zdjpTKSDWN0+VtD+qIji9Bhh+OOKP2/VbKolkzTLHrsY/VlEo2zzG19d4ebWiFbdpj8O+OM3t3jx/DS2oeIF0r1REYJWzcILEsIoZeyF9EcBg7G8d5dmK6wu1Ip7TRGy2X96ocpUzSZDiqk+TEpKmEf0AkRRwsSL6A19ZhoOL5xt8eL5mYLcdIjeKOD3vneLjd0hlqlgmXougMrww5iyo6HkZLGRGyIUGc/6/lqXdt+nXjHRdZWzyw2WpkvoqsJOe8za7pDhOCDOMvSciL7Tcdk5GOMGEVGSsXkwIU1TQEa8jiYh2+0xrh+jqAKRgKapRHGGrskiR3Dkfh2MQ/7Tn9yiWbN49nQTNSd27bQn7PdcpusOQRhRsg0qjo4fJJDJ+df1I66t95hu2CxMlVEVwaXTTYJQikoO3e0Ox3kUJ7Kgm0knjyTNEFA0pMNcTHd6vsr8VOlY0R04dt2PiuAuBf2jjNXOwOP9W13pRHRhGsvQOL/cwA9lytBR8tsJHh9+EB9zaD4aG3yILMvYaU+k430m5/Sra13CKCVJUymWeshrqAIykeFHMYamkqQZuq6gIMnUGdKdtmRrDMchu50Jc60SI08SkEqWwYWVOiMv4ouXZlCEdMjZbo8JwoRG1Trm+OaHMW9ePSCKU1YXq8w2Syf3y124uTVgY29Is2rxwkdo5JzgZxe6pvD8mSnCKMEPYvpDj3YvwAsiBqOAkRdimxqmpuL6gYzD/oB84jRN0HUFXVFJAdtQOb9cpz/2+eOfjtE1hS9cmEZTFXkOQSBUga4onJqtPvI4F0JQcQzWd4eUbP0eUtFHRZpmd5xdIW8OZSg8nUW8LMvY7bi4fkSzat2T1nQUlqHxwrlpoijB0NWfCeHK5w2dgUd/FFB2DBoVk+32hCyT6Te1skmaysQ5RRHUKwaKUFicrvCl5+YYjgJMS2W3LcWeigJ+GPFfX9+g3Xc5NV9lOA7Z3B+hayoXVhrMtRwmfsR4okihcpigqII0y3BMlTjNSJKUuekSqqKgKwojN2S26RAnGbap0hsF9EcBlqmhCsF/fX2dKEoZTAIsQyVLAQUGk4Dvv7MDwEzLRlMEw0lIo2IcG7NhlLDbmTDxIixDZTAJ2dgdoqoKZVsvRBwgySk3tgY4ts4vv7qCndcU3CCmVbWOGTScXayRpFIscXNrQHvgUS0ZTLw78URJkuEFUXHOCY8o35JEfhaqouZEbLM4w+uagqIKhv1AJiSKO+9HCMFL5+W4HE4Crqz1it/FacrL56cZjAN+cmWPm1tD6hWDsm1ifkDq2VH0Rj7dgY9j6cy1nEcmuh70PIaTgErJeCTn7RN8Mhh7EWSScOh5ESM34vRClb/8jfPc3Brw4/d2aPcDumMfz4+JkpjO0OfaRp+ZhsO5pRqDsUzKGk0i3CAmE1I8IBRoVi2GkxBN0/H9mM29If/LH9xgYabEqxdnyQRkacb33trm8nqPIIwhk3UGRRGoikKtbLI0W6bs6CxOV+gPPXRdcGWjx/bBRNYaFUM68Nakq/5+z2O/59KsysTgu9frOEmJk5Sd9pj20EfL17AgTomSFE2VYqhqyWR5tkyWUZCY3r5+QHfoszxbPebAebiG9oce/ZFPFKcIIRh7EY2KiaLIvctgEh0Tg4SRfE2AKJHuukl+DUdrfGeX6izO3DkfHxI65GvLWoqhKYy8kJ2DEVGa4YcWB32fuZbD6fnj+ydFETxzukEQJeiqUtQlTvDZxaPu0/wgZievKS9Ml9C1h8/xXnCkLpCB68e0PoPB7ofrdb1i3ldkcnft6fDfrh/y5tU2SZbxwtmpY2SeIExIEmk24QYxcZoRJ1nRkN/tutzc7Ofp3QZx7t5bLRvMt0qI3KwiTlJphuLL3kcUJ8U6DnLtPrNYI0nl2I7ysX14jbNNB0OTe4/djku1ZDDyQg76HoamEicpQZSw257QHXgc9KVJSxzL2m0UJ7Cf8f5NnXrVYK/r4pg6UeRTdjTIJGmqPw5QhBz/rYrF82dbZJng9vaAqmMy8UMSMq5t9JhrlZhuOARhStnWSTOZvLrdnmDoGqoicCyZJpJm5H2Je+t/YZTQqFi89vwCQRxzZr72gffkUQghuLDy+PXBqbot97Wfszr/5wGHpOPi3/epUX4UHNaaNU3h5bzWDFJE0Rn4WIY0WDp6jrVMjRfP33vGrZVNXr4wfd+eR5rPAYeIYzlmbm8PMXXl2Jq/vjfk1taADJmmlyayz2noGkEs0zQMTVCxdaIkZXm2TBDFbLUn7PUmVAKT8Tggzseaosg6LEKKwmxT5z999yabe8OcaJmRpilBmtGsmKReRtmW5OtqycSxNUq2TrvvEUSJNOQYeGy3JwghUFWBY6n4QULF1nPSktxz3G88ub5MYFMVaTR1v/F6tL6k6+oHJiY1qxbVizMfut90gseDF0jhjqIIFqbynnN8vBlwdH8q/31n7g+imCTTUJF7Z9vQMCNFJvcpglIq9+GtmkWayfuzZGnYuspBz8OPIiZBhEKGY2poAoZuyDhNsU2VimWSJBmhIve9uqpim5JMHSdSKD72JUF6vzfhYODyZ/7Uacb5fKMpAiFgZa7MueUaM02bNJVCMlUR1MomF1cajF0pplQVheBgzNgNGbkRZVsjSdJ7+l9BlLB9MKY3DHAsKQA73KskScLv/3CNd2+2qZR0qiWbetlkqmYhhJDilElIxTa4eKpxbE6aaTo0qiZpxrExtzRTYabhEMYJ793skmUZ/XFA2E1Ymql8YFrOgzDbdGje5/UehNWFGgvTZRQhHknsfoLPJ7pDn97Qp2TrD00/SNOUL16c4cJSDUWFsi25R+Qii73OhFbdxg9iWfNTBHNNh5EX5WLKHoamkmUZuqKy2xlz0Jd724unmvzKl5bZ7cjaW6WkY1klkliaOQZhzBcvzRBFMvnyyu0e49woxdYV6hWzCJ0Ze3FRLy3ZOqO7TKqzDF6+MEOS3rsuHQqzDnFohHsITVWpV0z8vI44dmPqFfnKSZJJw5lMjifLUBl7IWM3wtBV6mWD2ZbDYBQwVbe5tt4rBN3NqsXyTJmpfN6Zbti8d6vLYBygqcoHjuc4Sdk+GJOk2T0cojBKinlKzwWlx7/XO7ygVs26RzjR7rtcvt1D1xQWpqVoLorlmcgLY44+2gtiNvZGRdLS0TppGCb0hz7dnO+1MF0+toe4m8vg+lFhpvtx8qJO8NlFnGRcXKnnQmWVWuXp48u+uza852fXd7qcm388UdZnBdc2B5/2JXxoZGlCFMcMxxGzTfueveDTgifBF/lET2R/82/+Tf7e3/t7fPvb30YIwT/6R//ogY8VQjwRYUIcx/yzf/bP+Kf/9J/yxS9+kbfeeou/9bf+Fv/hP/wH6vX6h34+Xdc5d+7cR76uJ4HfffNNAF66uMilS/ePtjrBx4d3d1S+/foW37sW8Ws//9KHchA6wdOLjzIvxWnGft/D9SKyLKPqaIwnsoEbJ2nhXrXfc7m9M0QIhd2Oi6II5ltlbFNjpuFwe3vI5v4IP4xZ2x0x8aUqceJFOKbOyAuY+AlplnFzS1C2dc4s1rm+0eeZ002qJZOd9hhNVciyjK39sXTD3xvJIgsCL4ipOgYHfY9zRxTfM00H01CplQ222xN2Oy4pGbd3BrJhKwSjSUAnydBVBci4vN6n6ujstl3pBqwI/DBhMAlJUkiCWLqCpLLJUS2blG154DENGaU89kL5WllGP3fW2uu6nJ6vstd1GeQ/a/c9KiWd9f0xSZahpbJpXnZ0HFsjy11M/UC6iQSRdDX++ZeXqOYHn1bNYq/rkqYZZUunvmQWhbOZ5vEmlqqqzLXKXF3vFYfH3jDgxfNTHwvJdX1vxH5XJp10Bh4vnJ16Yg5XtqkVLoEgC0ofFz6PBaeJF3F7ZwJC8PaNNgvTJSZezH7P4899fZXBOGA4lp+t/Kx1ojjF9WP2ei6eH6MoCvt9j1cuzDDdsIsChGPpTNXsoun/Ye+tsmMw1yqx25lgGjL+1A1iwiRleb56j4AD4Pd/sMat7SFpmuIHKSVLCn0URZIkeuOAc4s1wjglTjLSUYYQgiBM8cIYMZZubgIZu7q+N2R+qiyLFZ0JJVtn7EasLlbp5Yk7hq4wcEOWpkuMJhFCyKLvTnuCbWpEcZpHu2qIQBaqhYDzS3WaNYv9nksYxvzJW1vomsLm/pifXj3gV79yiu+/s0MtFz3tdT1evjBFrWxgGzqamlCvGIRRwn7PxTRUtg8mxIkUXwghsEyNy2vd4jvsDQNeOj/FlbUerp8LzcYhL56folWz6Q5lBON03S72B6Yu41avbfQhA0NXaDzGobZZtdjtHBL6xAe6pfthzLd/uFEUZAaTgG9+5TTASXPmCaNaMphp2ux3pSPJ/RxTNvfH7LQn3N4ZsrE35I2r+0RRQhxnxB8Qi60ISDJQEtnQ0RQFRUhna0PTSDOYbTioAjw/ZnG6zHrumn1qrlK4XOm6yisrDZTcDSfLsiLdpTPw872CHC9//NMtdjty3dk+mPDnfuHMiYjjCLYOxnz3Len+c5i2diLkOMHjQDpiaTi2xq3tkXSAzcXXmiroIJOcDonHH4QozhBKTKxqaEIQxgk/en+PZs1GzdelkRvxS68uM9ty6I8DkiRjumEz8yH2gGM35L/9eKMQsAVhwi+8svx4H8J9oCiicJ4DaNasp3oO2mlPCsF4Z+jz7OkmZefBwhdVEagnbrZPJfqjgBt5wbwz8LmyFhf7rpJtoKkKiZBu0SXboD+Se8yBGxDka3UWZ6RJip+fRbPU50fvSSOcwwRFLT9XBVEMyPXHDWOG40CSlWMoOzqTfL9qmxqWJV38JbmiUjRMD5OAQO73v/PTreIcnOQEiwR5zWRZcS9v7o+YqjtSoDIOefHcnf2tIkThVBdFCW9fO5AkFaTTJQLIIAhj/vDd3cIsYjQJCze9xakSlZIhhdACnj87haooqIrcA/34SheRC7u0Iy5NU3X72F57puGwl5+l6xWzIIyrqlI48AOM3ICr6/Jxux2X5Zkydt6MnGnYxbg0dIVWzaYzkPPTuaU6qqrwJ29JR+213SFru4KLpxqPnKQzdsPirNAZ+KRZ9kju/Z3cUEL+bx9VEU+ly/vnEbOtEqausNWWIo1aOePaeo/hJKReMUhRGPlyvc8y8P0EIUJ2uxPev92l7Ohs7o9pVCwypFBivysT/NIkIwgTPD8mSdOiLjZwQyZ+SKNsceFUg+s7Pd661mbixSS5uMKyNLI0Kxypy7aOripsH4xJ05Q3rhwQxyl7HVee7xGgCL5wcQYQBFEiU8KChK+/vHDf9fowEahkabT7Po2qyVLDxjE1skyOw6m6fYxs/Pb1A968Js2/NvbGGJrCUu46e7iGZllGbxhIl15NYbpuo+d7JENTubTaYPtgUpzTpxs2aSrnLMfUqJfvjP+7BU9Hz8ezuVM2yGRCx5Lk72//YIPd7oTeyCdJMi6earB1MCJOUp65y31TCHFy5n6K8Cj7tDTNuJybMICsOX9QivG55To/fn8fgErJYPYh5KtPC7udSXG/dwY+mqrcQxCqV0z0AyUXUMk0QYD/+vpmURPf60z48z9/rtifNGsWFUdnqz1GIMfc9sGYU/NVOgOPH76zw3ASst9zsQ0N29axDZXT81XSNGNppoKmKji2hhfGuH6MY8n64FH36lbd5qDvoaSSFH1YJ5tpOuzlwhwviPN0b+mM3x8H2KaGH8R4oTTkaA9kcm+zauL5EVEsjTYEMHJj3rvVw7ZUvCAhy/cs0solxQ8TKR5RAGImfoRl6AzdEFNXGbkRYZiiaoLNgwlxmnHxVJOzCzVevyIJchVbx1DVYi4tWRq2pcn7Tcga491o5fVQUDAN87HT+z7KXPV5rPN/HnBqrsJ7tzqFMdH55SfnKhveXWseB/zaa6dx/Ygr672CkJ6k2T3u8Q864z5IRHT3Xr1S0vlvr99xjh66IYvTFdb3hvzovT0EsNdz0VVF7pcyWW997nSL9sBnOE4Io4Sl2TI7XRc/iJh4MVmW0ekHhFFMFEtncTLyFOSU3a6PbYZ8541thJDEtTiWBnWOrdIZBmiKQpySE65VTs1W6Y4CoiSl3feJ4oRb20PpjD6RJPYgTLAtncFYJvsc7jnuRpykXL59JJEkiB/o+n1YX3pUnBg8fTJI0oz3b3eLNDnXi7m02qRs6ziWdmzvehQzTYfNvOa8ulCTSX4gTQuzlCCSor+KY3DQc7EUlXHOQVAUhSvrfUqWKsWUefy3qoCqxEBCFGWoSooHDFwpZPV8maJRcnTmp8osTpfZOhhTdQw6Q49rmz0yZA3h//W/Xeb0guyh/fjyPrMNmTDRqJrsdCZUbAPL1OgMPJ4708KxdJZm7jjaq4ogymsCWZbv7498BlmWcfl2l/2uy17XxdDlPkFRBI2Kxbdf3+TNawfstCd4Ycx8q8T55QaGrqAIwW5ngq6r9CcBG/uje1LEHiR8NHRVErsrpjSO6Mvkqzs8i8czsfkwQkt4NLHHCT6/GIwDrm/0AYp18EFCDl2T4+4QtZLJ1XWZhjuchFimRhjKvW0QJKiqwlZ7Ahlc8/sYmko3knv6OAo4GMp1Ns3gvVtdWQsQMPRCFvIkblXIJNEXzk7xzs0OhibPO2HcYZSnWmoVg+lGqeiZry5Uj9VLl6bLbO2PSHNj1kunm+iags6969L5lTrfe2eH0USmabx0furY74MokQl7GewlLl99cZ7OQL6n6YbN1v6kWEcVRbDf84qk3UpJp5/3/0duRG/s0+7Law7jhO32pBi/Ez+SRrvB/eftu3Fza/BADpGuKZLbkO/3764BbuyP2Ovc4QU9f3YKO1/j/TDm93+0UawrvZHPbLNUcCvOL0uC/WHC0WgSFjXg7tBnfsphpy2fe366xPWtQVGXjeL0mKnGdMNmMA5yAw6F7sAvas0fJy/qBJ9d6LrKQV8arBz+97ThhdX6PT972gUcAC+effrSu96/3We77UIGk+2Yvc7kqeNaPCm+yCdaRf6N3/gNXnvtNW7dusVf+2t/jb//9//+xy6IeP/999nf3+eLX/wiAC+++CIzMzNcvnyZ11577UM/nxACx/lsOJrd2JTKsBfOzX5mrulnCX/915/jj366w+W1Plc2JrzyzMynfUkn+IzD0FTOLdbYPBihCIUolkWOJM2OqcUP/3erZhWuEhdPNRBCMNcqoaoKbhCRpeROR2Bbmuz4Khm6pgExhioYeZIs4gVR7iCVcul0k5mGTaNicHN7SH8kD29eEPP82SnmBy4VRyeOE0q2IYUUi9XC+XbkRpxZrNEeeNRKBoausL0/oTf2WZ4pU2o4bLddkiTh9u6QJM4IggihCDq9CSXHIEkzyo5BmqSUHV26y5gqqqJw8VSd80s1ojijUpKulT96d4f9riRyV0om9bJBpWRyar7CYHJHeW+bGueX6zi2Tn8QYJkqiqKgKSoLU2VsU0UVgh+8u0e5pFNXTSxDPUZWcyydF89NsXUwpj+W0ecVx5SN7buad64f0R8H3NzqkwGV3H04CBNGcYgXxNSPuHp+VBy9T7JMFmuflIhDCEkwGU5CNFU8lFB2gnsx9iLSTDpNTiYRu0IQxxnNusmN7T4lS8MxdYSQrns/uXLA4rRDydHpjXx0VaBrAktXubre48vPz+VCkIiKo/P2jTYVx6BaMomTlKm6ha6phGHC61d2iaKUZ043SdIM29QJo4Qsy5huOKiK4JdfXWLrYMLmvozr7o19pmo2nZ6HoapcXuuw33V55ZkZVhfqDN0QS1dJUTEMledXW9zeHSGyjCBOSZMMy9K5sFSnN/IhEwwnPv/+OzdYma3wtZcWWZ6tEEYp2+1RIR47VFCXbJ1G2WQ4iYiTjEbFQNdVHFPFC1IsQ6VVtynnrhO6rrA8U8Y0VFo1G11VKDkaK7PVgtTxwtkp9noTjNxlyg9DgjDF9QLCKGEwCiiXDBxL5ZnTTZ493eLaZp+SrbMyW+ag56GpSuHGczjevCCmN/LZ60ywTXk9cSIbtIfFdZAFojhJObtUY3oixRt3F3MbFelc6ocxFcd4rKKGZWq8cK7F2I2wLe0DG61jN2TiR3SHHqoqCnKbTFzyCwLaCT46FEXhV760IglHusL81L2ku4kfkWTSCa4/DsiSlDhO+SBOtqYIdF1+d0II6hUdRajUSjq2rSMyOLNQY2G6hGmq+GHCymy1eM35qRJ/5utn2O1MqJVMGrlrb5Zl7PdcesM7a2lv6DPxIlmMO+JuE8YJYzfEMjTafY8ols5eD4v+flQMxgETP6JWMu9xmwFJ0mz3JZlkqm59ZsTT3Zy4eYh2Xkw/wQkeF1kmmMtFFTJpL0bXVZRUEpXKFZ1B7vA6cWPiBzyPkrvc26ZBydYJ45S13QF7nQmarjJTd1BVuLLWoTf0eWalyUzLoVW1PtTesj8KjiUQ9e5yxDrEB43xh2F1oVa43D3tMd1j77gT88SPP7E9dxAldJ/guh/FKe2+JMDVyyZTdeeEwHUER9O4siyjPwqYa8mxVSubfP3leS7f6nHxdKNwkQYQCM4sVNnvubRqJpalcdDzpAjbj5h4IWGcogqZTBfkCZZ+EHNjq8/YDVGFdGYdjANMQ2O6bnN+pS4FnjMVZusWl9e6zE+XMXWN/W4uDhZyDG/sj5iuO4wmIWkqawC2pfFb33yW7shjZbbGv/tv19hpT8iQrsuGJnD9hHJZ7jEO6xf7PZeNXSlMS5IUochkDU0RmLpCraRz0PMwDIUwTBh7Iaqq0B54/PjyLoNxxPNnWvzyF5e4utGnVjY5v9xgfXeIF8T4gRTC+mGEriqsNCu8eG6aIExYnC7jhwn9sUvJ0jk1X6VRtaShRsng7esHXF3vcW65zkvnZ5iqy/nr7RvtY9+lZWk0KiaqqrA0c6cJoigKv/rlFbYOxpi503CaE+mTNKPiGERJymzTwXrEJA7Xj4+5sN7tKvgg3P24sRcdG+cfZQ4+wUeDoSl89cVFLFNnMPYBwUHfk9+ZgOm6Jcd1lNBXA/wgwVQVoijj5vaAU3MVmhWL+akSmYAojBl5GqahkKQ69ZLBdMNiY2/EaBLlyX4pQZSiawpxkuD58sytqYIkyVBUwepcheWZCo2axdJshYkb8s6NTk5+tvCDhCiKsS1NJnRMlSg5Bqfnq7x784DtA+kgvDRdKYhFd6/XV9d71Msmf+r5eQ76LitzNV4812IwlqTFZs3CMjTiJKXd91CE/GxAzqFjL+Ld211mWyV0TWHsRYw9WWebqpkgBJWSyVzTYX7KIYqlCUPZMaiVLYaTAENTi3veMjWurfdYmC2zNF2hbGv3rdWt7Qy4vtlncarMs2daeWKIgaIImXaUk+LiPFWkM/BI0ozR+P57oBM8PXiUfVqUpMccsu+Xvnk3Lp1uMV23GXsRC9MVjM/gfunudWTiR/fsuw1d5fmzU4y9ENvQijND/8i97wXSLKmsGcXf/KkXF9A0FV0V1CtWkQYw8SL8UNYuozglSWWtxPOlK/DEk460hynmz6628IIY29TuMTMp2zplR6fdc7mw0MDO+xzDsaxxz7VKBdmpVbOJkwTH1jm7WGOSu8gausq7tzpyjzvwWZouQZ6gFsWQpCleGDLx5R6GLCsIUooiHX3TVIpdy47BbMtm4ocYukxE1NQh3YGLUARhnLLXmfDm9QOeOdXkN3/pLFmacW6pKg2CcgRRyovnpxi5IbvtCWu7Q4SAekXOtbudMe/e7FBxTM4v12XtcxKgKKJ4vyf42UXZMfgzXzvDfm9CvWwW982TwNANj7k3D3JB+qPsZQ/3pWSA4L69syzLOOh7pGlGq2ZzdqnOVD1g7IX85PI+1zd7LE6XAMHW/oTl2Sq3tgcFQT3LZH9urmmjqIJTMxXOLDdYDiLeudmhVTNRFQVNlfP4dMORdRZFEKcphpKhpxlplmIZOkKkSMmWYOQGBFHCVM1i6PqUbAPL0BgMA1IB9bKBqav84isLTPwERZEpPVmasrY7wjF0VFWmgXh5As7Yizi/VGNlrlKIXva60hBvui6NvcK871B8tn6MH8b0hsFJbf8pgTRxOvodyvGhKIJLq6179q6HWJgqUy2ZjCYBCzMlJpMIy9RYXSjz48sH2JbOxeUGzbpNHMeUbIP/9Mc3ORj46Jqg048YeykqKbkPI0IINA1M3UDVUmxdJYjlHmdppkSjaiIQtOomFVtH1xS6fRc/TGjVbHb2xximRppmuEHEQX+CrmqoqsAypPjByoXbu+0eaQYrs2W8IM4TJ0uEUYIXxJyerxFEMUszZYSACyuNY3uQJJXCdT+UIvKRGzKTG+A1Khb73QlpKrkBSZ4O2B34LM2UmWk4CCF/pwrxyOfrQwzGASVbo1Y2sU2tWFtdP3psEceHQRTLs4aq3OmHdIc+fhjTrHy4+u3HhaPz9VTdPiFxP2Ec7T/DB9eIVmbKtPuyz92omWy1R+x3vdyc1eTico3rW31W52uYhjR2mHiydzjTMGkPZH3Q1HXgzjqfIU0OukMvT5syWJmr4AUxJUvH0FW+89NN2n2fP/v1VVo1Ey9PAZ2u2/zpr6zw4yv7NKoW51caXN/o54JnjZXZCn995RIHfY/TczUqeZ3wkAchhCjqBVN1m//Db1zi2taARsVkefa4KMsyNZamy0Wi7+pinbLtEcYxL52f4ur6gJEbyjlQETTz1ORaySCMUnT1Tu1OV1UWpksEUUKratIfh4WgeuxFzE2VCPJ1/H7pu7d3pHBjebZy7JwZ52lDmi3HShglLM/Kz1JXlUIMf7/vPMvk/HM4F40m4bF1ZehGfONL8rxmGVpxbvL8mLKj8/7tbvHYNM145ZlZbu9Ivunpuao0lXnAvdaoWDyfcxvKtsHb1+/UTuMkJYySk/H/M4YoSorxpqniQ6VQf1ZwZePeJI7be31Oz9Y/+Yt5gri+5X3wgz5jGLsRhqYQxgmWobGTi9eeJkjejNyz6pry2HyRT3x312w2aTab/OZv/iY/93M/x/Lyk3NpvB/m5+fZ3d3l5s2bnDlzhrW1NTY2NlhdfbqTK9p9j/bARxHSzecEnzym6ja//tXT/Ps/usm/+M/v84WL058ZQtkJPptYmC6z23FpVm3CMKFakgIJTZVRgoeoV8zCccm25AHmaMRnq2oxVbeJ4ozNg5EsqGQZSV6gjOIYTVEJ4wRdFfhhjG1o1GtWsfmXLn5SsLCxN2YwCdAUgaIIVEVl5IYEYcLBwOfUfIXr632EIlCEIMsy0jQjSaTD37s324WD92jSpVYxpZp7EiEEeWSxQppBkoKmQJJl6KqMTB6MpRsNQqArCjttF9eLUFUZ27h1MMlV+NKF4/RclYXpGWplk9lmiYUpj+7Ap933SDMplpltltAUlTTL6A6ky83W/pipumzUDCYBQZhgGCov3UcB2R8FvHuzQ38UIITg/HL9HqGW60e8d6tLZ+BxbaOPqauUHYMLKw1Gblg4iWwfTHjuTOuJNE8aFbM4OB068zxJKIo4di+e4NHRGbi8db1NlskC7Dh3eNvtTHjl/CztgRRN9McBaztD6n2T65t9lmcq6JpCb5igaSrDSUiawQ/e3SXLpAvbf/ruHs2qzciVRYLVhRr7XZfnz7b4t39wnbXdIXGc8gc/2eJXvrTCXlc2Z8qOQXfo8+xqC0VRikLAjc1B4Z6hKQp/8OMNrm/1sQydn1w54G/9lZdYna/y5qSNCti6wX//zUv8+z+5wdW1PqoqyVyn5mr88L1dPD+mM3BZ3x9j6Sq3toc0yiaLM+W8gZLwg3d30BQFN5Tun8+carJ1MEJRBG4Q4QYJNV1lu+OhahppmqLrskhyY2uAoUuSWqNqUisZ7HQm1Momux2Xkq3TqtkYusryTJXZpkO772FoKo6lUbJkASZNMuI04NR8lapj8PaNNmmaMZqEtPs+izNlusOgaIgcxq6+e7NDmsoUID9MaVRMLFPFNjVqZYNB7s5RsvXCieNhJNOjBd/HhXRVebQDsW0ZbB5IUo98fZ04SXn3ZqdwRnD9+B5ntBM8HhRF4dR89YG/r5dNhuOwcMgKItlA+SDEaQaRbFzIhBoP21AZuQEg0BSFy+td2gOPSslgpuGw25mwMFUuXKgtQ+P0/B33lMNmQ5ykhYgjTVO222NURe4XTE2SKgEcW6datljbHRbuL3vdCc+f/WguK52BV7jvbIkxz662jq1vSZrx3q1uEZ859kJWF2r3fa5PGvNTpWLuB1ie+WC37BOc4GFYmSlRzkXBni8F2GnunqcI6Xw9CWKCMHmggAPAD9N8L67SH4dkaUYYJ/keXOGg47K6WOf2zghFCDRV8Bd/8dyHbgBONWxMQy3G5/x93MA+aIw/Cp528cYh6hWzcN5SlHvFnh8Xoliu+4eNHS+Ij5HRPyzSVDoh3tweMJqEVByd1cUaz5+ZOnZu/VlGtWwiDsZkmSRIzE2VCkLTQc/l3Vsdsgz2+x7Pn5m6Q0YUcH1LjpfBJGAwjiRpIZLu+YN8PycXHkEeQMFBX8HYlQ4/SZbi+zEZMgEzSlJcT84YG3tD1vdGKMD1jYE0d8hJ19vtMd99e4ckzbi9MyKKYw65WUIIXj7fxDDkPftP/vWocKjTVCGTQzIYTEK+9uJCMWb3uxO2DvLrShJu7wwJQnkf+kFCkj9/EEXsdScyPQSI44Tfz93h3riyx6vPzGFbGr1hwOvv7XIYXjZ2A9oDr3CKu3i6WbgSun7Euzc7xRp9dqlWkJvevLbPv/zPV8gy+OF7e3hezGsvLgCwNFPm9vZhEyfDDxJ6yHGbpOkxF2NNO77vUxSFuZbD9sEETVVyMrnxyGfsSk4UP3w/j/p3tbLJbtc9RoY7RHfoF86NW2LMpdVWIZQ/wSeDZk2KMCxD5dpGH1WV6/loHHIw8BhMQva7khSVpRmDSYCuqUzVLKIo4cIpmQawsTekMwyZTCSxOUMKvSd+RBBmpGTESUaWC8avb0oyY3cYMHJlcsUob4pd3xoiFIW56RI77Qnff2eHds8nyTIsQ8UNInRFYexKl03bNqiWDN650eb3f7RBktcE9zouizNlTs3Lc/jR9fpwzTMNjZW5Gs+daWHoGtONO3uNQ2fdo+SU0SRkuzMmilJqpSFvXjvgCxdnSNK0qD1ud1wWWuXC8fuQ/HmY9KPmzrxH8cN3d2nnIpHd9oTf+Oq9vaFb2wP+f9++SprB6+zzza+cytNHJBoVk2bVYuyFmLpCGKXEcYbnx3hhcs/zneDpwqPs0wxNOeaW/ah71Km6w1T9iV3qE0e9YhbuvkJI5977QdeUe8bWXNMp0jvrFfOetN962WS+VbpTa8s/s1rZpGxLExrTUBEIJm6IYWhstSe06jaXc6JRlEhhWsmS6/jd1/DTq/u8c6MDwObBhD/92in+8I3Nog421bBpVa1iT3Bmsc52e5KLtGQq0Dt5H2DrYIyuKaiKYOgGBIfTUwpekCGE3Jdpqpxrskyg6wpRlBTO/XGc4HoJm/tjeqOAimNQdgw6Aw/PS3CDGCHge29ts9ue8IWLM3zjSyu06g67XR8/SIrPU1MV1naGxfu7vNbjW19bJYwS/uV/vlLU9bYOxoVz7/bBhOfPtk6SgE6AYx2vAz4p1MsWZUembAPMTUmDtLIjBQqHRg9372UP96WDccBez2V5tkLJ0u/pnd3cGhRz0n7P5fkzU5RtjX/1X67QHvrsdib0xwEzDYeSpfEvf+8yYSLFUYoqmLgxpqFwMPRZni4TpBmdgcd+Xwovr20OyLKsSPfZ3BtRLhlkmXQV9+MUkWUIRSFNU5K85yqTAuQ1jsYRpqlCeic5WVcE3WHATM3i269vYZsa+z0XXVMYTkJJEo1T/LCCEAqDkc9WZ4Kpq2wfjPn6i4soiuDqeq9YjzoDn2dXm5iGdqz2UrY13rvZLebWIExYeIQEvxN8ejB0tRAZwvHxcb+961GoimDrYFKcExs1i9ffP2DrSLL2t752GtPQ2et6zM9U2TgYc9CPiJIUAQS5dooM0jhjnNcI4iRjnEjxQ5pl/OCdXWolkyjNuLEJcZIUguosyzAMTZq8IdOtkiRj6MYYWoqqCKplMxdeRPSGnqw7KoLbO0NeOC978Ud7C72xT71sYps6pqHeIziT52qdvS60B5KMvnkw5pnT0il7daHG5r7sZaRphh8mdEc+P716wF/95sXcUOLDna9BmlwdEppdPyp6H0LwidTyZD+kc6wfYupqkRq325b94SdhrvVRcGNrQDefrw96Mm3lpC745FArG2zuU6w9D7uH0zTlv/xoo1g/tg/G3NoaEuSFvapj8PZN2cfqDPeZbdjsduX5eDAO6Y384owzTO9tWO50JiRJhusnrMylWMYdg8F/8P/4LpfX+wD83/7Nm1RKRvFcu12P77+3RxAmjL2x5B71vTv9tNky81PlwhDv1vag4EjtdScoQtY2QYrHL6w0ePEBzuaWoeHmc+zQDbm6JlNQAfqTbUR2RxhTLxtcXu/JukbX5eXzU5TyuoIQUM55CAATL2Z+yiGO5UVP122iOEXP54X6XWfC9293iiTG9293efZ0s+jjmIZ6rP9ScYzcmDJ/rru+43rFLPZbqiqoHDEZqFUsHFsvEpoWcgOMo+vJ0e+pXjbZDeTcq2sKW3uy7gIUZ6DDs8X97rWj3IZ6xSzqK6ahYp6cO37m4Fhy3T6c8+8eB08DvvLCCvDGsZ897QIOgOeXn740kZKtFv2rURwy33r6QgyaVbPgqwK8fOHx+i+f2mz6D//hP/xEXmdqaop/8A/+AX/n7/wdRE4+/p3f+R1mZ2c/kdf/uHBlvQfAqfnqiavKp4i//Mvn+b3v3ubqep+3rrV56cLTFelzgk8Wz662UBXBftelWbMo2waqInBsvXCrS/JZfWWuQpplVEsmlq6ytjNEVQUlWycDFlplmlWb5dkyQSgXtO22WzRrt/bH1MomqiJI0pRzS3VefW6eSe5aRyYPQqoqOD1f5aDncWq+iqYq+FHMbNNha39MtWwRJRm9UUDJ0bENGVneGwfMNhzmmjbffTOkbOtommDixVi6iqsoGLpCnGbomoJQFYhTBBlRkskQREXGNhqWSRhn+e9SlBgOBj5k5M6gE6JEOvPrmkqzYlEvSwcQL4h4+cIMYzekPfC4tFwjTjMUIVhdqBDHGQvT5cI5bb/r5pGqThGTXCnp+HclWvTHQSGWyLKM7tBjuz1mqmYXzeFh7kw68SLqZRMhBM2qxdJMuTgU+mFMnH9+mioYe1IhbxkaYZxyc6uH58WsLtbuKU4dxrmXbaNwtV2YlkkEQZTQrD4Z9/MTPBms7Y4xdQ0/CNGOEG8sQ8P3I+lQaaj0xwGOqdEdBhiqQhinrMxV8+JARsmuYOgK/XHA2A3Zy6STXRgn+EHMtY0eQZRwdqGKF8RsHowYuyGeHyMUGLoBrh+ja1JU1BsGtPse1ZIsBChCsDhdZugGxLF0rtnaHxWFTD+I+L3v3ebXv3oax1TY7fl862ur6IbCf/fL5/jDn2wzdCU5yzBUrm/0GAjB7e0IBUkGN3SVd251uXSmJeeLUYCuKBiGKucJPyJLMxamS9QrJpahMaoEqKqcM6qOTsnWsQwV29B56dw0UZKyOFXCcXScPA3DDWIMTaE3Co65Tf33f/oSP3x3B0UInjnVYOxFfO3Febbbkky1NFVmuz3G9eOi+NofSXHHs2eadIc+pi4TP/Z7bvFdzjUdvCCmVjaLyObzy4284JQVLhyfNXh+yOJUmT3FRVMFNcdg4kXHoi17I/9DiTjCKGHi35nPTvDomGuVMHOBUnfg0qhYdIZ+sf4/DIIMQ4c0E6gKZEiSlmWo+EGCqsr1y7F1KiUD29S4eKrxUGJJkqQoiij2HYqAG1tD2t0JtqGxulBF11XCSJIWDU0pCsEAYZTi+vFHal4cfT5JAA2OEby9nLB+v8d/2piqO/zaa6fY3B/TqtknYqgTPBa8IC4SmlRN5QsXpuiOAr787BzX1nr0JwG1ksFub8JwHGMZCnGSEicPnjcEco6olQyCyEXTBWEMCpKUpqiCsevL1D5do1YyuL0zZHWx/tBrPUzwqZYMhBBYhsav/6nT3NgaULI0zh0hNx/ig8b4zxJmGg6GJsmx9dzJ7yiO3gtP0r1q4kXHnLl6o+AjiTiC3DHx8Lw08WUigh/GTyyB8LMI148IooSqY6B+wPdTtvXCTbNk6VQco9gzbrfHRbMyyyCMIsJQR9MUaiWTetnEDWN0RctNGjI0TZAkKdN1haEbUrI0BmNpvKBrCn4Yoyvy3nIsndlmCQGYpkqtZKKp0nXSsjVGozDfs0unytWFGnGSsrk/xNDVwj3t8KiZJBnPna7jhRmGIb9vx9KLvaRQJEnd9SOaVRsvCPnhe7toqkK1ZNComPTGPpYpBay2kaIoCn4o96NxmhKEKbNNm/YgwDZUjm6LXD9m+2DE7FQZXRV0R0EhGEtSePZ0k5Eb4tg6Mw2bsRsSJ/Kc7gcR/UlIydKPnRnevdEhSVKiJEFTVd5fk2cXgNPzNXRN5aAn6zY7BxMmXoSiCMTog++TX3xlmSvrPYIwYqpmU3KMR3bGtU2NZ1eb9McBtqk9lMhzFLWyyaX8c6g4xrGm7mB8fA4ejoMTEccnjMPvdW13wNquNAA5t1hntzvBclVKloaqCKnJUoBMiqM0RRDGGSuzFZpVizeu7BJGMY2qQRjHKELBsXUmfkjJ1tBUm/bAxzZVmlULLwjxowRdVZhrlmj3J1iGSsmW54QgjKlXLK6s9fByQrGuCFw/Ymm6JJ2odVWKLy2NDFjfHRUEx0yBIJL1yN7IZ/ZIwm0US8L1ymyFlOyeNc8PY7xAnsfbOYHjUOR+dqnGYBJg1zTS/Ln9IEZVFBamy3h5faVaNkhTCKNY/hdntPN0zTgnqxm6WiSSHRIMALoD6WB791n2xma/mH+SJOWdG21eOHdHsN6q2fzG107z/q0OfhjTGQTEaVrUBG/vDJiq2SfJtk8pPmifBlLU+Mzp5jE32M8DWjXpnPw4qU2H616aplxcaaAox/dIch5p0h359AZ+UWOrlU1+7guLbOyN0FSFnYMxQzdCVQSWqR1znNdVhXJJZ+KG1CsWtqkxdkPKjkEQJVzf7BeJQxMv5K3rbfa7LoqiYOoqg1HA119cYHN/RJSkaJqCoSkMxj6n52TNY6FV4p3rbUqWTpIkmLpyR8zKnXABXYU0BUUoVGyNMJamU7apoCBQdRVNyDThoRfJ+VwTLNXLpFnC+s6IIIIU2XPojUI8P+Lqeo/pus3FlSa3d4aYuhSK3v3+4jhltzuRplhH9vc3tvqFiGPiRWwfjDk9XzshUp7gY4GmKXzzK6e5ttHD0BUursg6gGVoPLvaojfysQ2NRtUiipOiJybvW0neTJIM14uwDY3hJDw25x5N+Dk8Z+51Jux1XEa+TCEQQrC6WCWMUm7tjMjSjKmaw2DiM1W3yQBdlb3XC8t1bm0PsXSFXpph6Qr9cYhKRpaCrgkqlsb5Cw2ubfQYT0KiBBwD3DCTwpQ0xQsSTE1B01TiJENV4fRClbEb8cWLVbY7E1w3xI9TIMUPZL9kNAmxDRUhBGVbpzsMWJ6ucHscoqsiP3sp3NzqM920j73/iRcRRtLRdXm2QhAmMmlbEfRHg+JxvVFwIuL4jEMmbuR7CEUw9SHSUw570QDdocdgEhQJ6wJZZ3vj2gFkKf1RyOp8jfPLdS6v9UmzVKbsKXJ/LAQkiey9q0KlVFaZeCEIBUXIWv8kiEgziOO0MGoMozRP9kup5P07Mmki4Zg6pq4hSFmeqaCqgpm6zbs3O+iarEE6hhQrLUyV6Y8C/DCWtYfcWLBeluaV6n3WrYunmrh+VBi/lWxpUpamGc+dmULL+xW3t4cEkTxjOJYkNj+32qI78rEMreBhPAqOjsOKY2Aa0m1/oVX+WOteWZYxnIQE4fF+SG8UHEv4jJOUsRfR/JQ5AoNjiWwxQZSc8NaeIBxL59nVlqylW/pD+3yuHx+rwW/sj6hVDAaTEENT2e1K0aAfxRiaxmAijQncIGKqbrLbHed/mXG/jkOrbrG+PaJZkyLj/a7LbnfCqbkya3sj4iSVCXuRTH2oOHKc1EoGg1EAeXrdbmfC0myF/iig4ugIBP2Rn4szS8few8SLSdK0OLf3xwHjsc9bNzvMNJx7+hBzLYdLp+V8MdN0uLk1kAK1NCOIYhanyvSHAaahECUZraqFHyZomoKqKlw81WDiR5KbZWgoQookZ1sOq/M12gNZUzizWJeGGQ9IvN7av5OslySSJzU/XSZJZGINWcp7t/oYmsK55cZD56mFqTJZBiNX7h2O8oIMTeFPv7bCtY0Blq5xfuXhwt2VuWpRz62XDd7OReKH98/z56YYjB4t4Wt1oUrZ0Yv3dL+5+wSfb+iawrNnWk80+f2Txr/43Xfu+dn3r63z2vmVT+Fqnhx+ervNX/+0L+JDYrZZplkzGXsRs3UH/SnkQGqqyhcuzNAeelQc47GTMH8mdlHf+ta3+Na3vvVpX8YTxZU1KeK4eOrpU1F9ntCoWHzzK6f4j39yi3/97asnIo4TPBS9kS8PRbkQYmG6VLi2wx1nBS9XgZ+er2LpKv/5+7fZ77m0+z7Nqoll6qzMlmnWbC6dbhZOjUIcFJHu9YpZuPgKgXS80xSMikWjAsOxz0+uHMjYd5EfosaB/G8Ust/18gNIgKaAY2uFolxTFcqWzsSPePN6ByEkmdpMJUHcMDQMLWKcycNJkmY4QiEVMsEjzSDOyF2FpbAhTvOoY6RbwO7BCEXTEKkkh3p+jCIEpqYyCWK+89NtkjSVn5Gp8vb1Nv1RwPreiDMLVXbbLkuzZaqOUaj3XT+iNwpI0lR+/q0y+32Xtd0RW/vjYzGtkkCuEcUhaZbRGfhs7o3Z7bicXZQOnocNLVNXcf2YqbpNq2ZRLRmkaXbMLcDKC1RpKt/z2cUav/+jNd64ckCcZCxMlfhLv3y+IH8OxgFX13tkmdwES8dCea88jZvgnwVM1UwmXlgQrZJMJr6EeeLLIUm6N/L5/ts7xGnKYBxSKRuM+yGdgU+zarHf9bh0St4DaztDDE2hM/CZbdhsH0zoDj22Dia8d6vLi+dm6A8DNvN7S7rSaYx0VZK6w5i9rnR7UlVROF+XbB3TUFjbGZFlPggld9JMaPc9bm4NeO9WBxBM1Sz+7R/c4Be/sMTYj3BsndlWCTeIWZmrEoQJu12XMJakCSV3pPOCmNu7Q9Z2RlQcnUkQ06xbjCYRo3HIXs9l5EWsLlYpWRmVknSoHXsR9YpFGCWkKUSxdM5ZnpGJRPNTJWxT471bHZJEJhLM3qXGtg2VX/jCUvHvRjXl7ettFCEFJFc3eyiqYHN/xOK0TEI5HM+WobEwdafhUbL0olvbGUpHmcE44Nb2gIunGiiKOEZW+SyiZOt4QSzXikwWymxTO+byW/oQhWc/iHk3//wVRQplTkgqHw6NqsW7NzuMvRg/SnjU8laUgpKBomTEiUCQkWYpY1cSIQYTqDgaihB86Zk5FmZKDy3sxknKe7c60uVRwNlFGaP8xpU9JrnjwavPzvKNV48XLEq2XjQR5P300Q7TJVsvHPbg3vvRMtRjTn6fNfK3dFX9bM8DJ/jsojf0ubbZhwy6A493bsmUpIkXsbpQxU9SkjTjnVsduqOALM2kQ9IHTBwZ4AYZW+0xmipdlMIoQREKqib35+u7I8Z+jKYo1MsGv/rlh6ek3t4Zst+Vbk3NqlUkgpYdg5fOP/gc/EFj/GcN9Yp5Xzer3ki6kmYZGLrc/x89K34U2Nbxdf+jErgNTca7W4Y8B1mGiqZJktznFe2+x83tAWR3CNmPIuQ4+lkf7hmXZspFTQ+kePLKuiTg2KYm3fizDD9NGLpxsf5pOWkwzSSJozsMChFonKQc9KURgqJ4vPbCQkEK2etOuJGne6iqIEtT0kwghHTNnW7Ix63MVfF/tEmWZSRpghtEhSPbmze6/A/52C1ZGrquouX3p8gyekPp8r8bTvjP33dxA/l3U3VZrM4yOW1ZhoZmy8/NMlX2+zI9Io4i1vYmhHFKD1mfOGzFaqqCFyZs54kejeqd8WNbGiVbZ7ohP9uxJ9MyAfwo5kfv7RHnZ4bmkXN0rWLSGfp5UkpEkqTFdzLdkMmHi9Nl0jTjzasHRfLe4iMkbmn5+f1x4Vj6Y5FC7hZvHH0+uENe/6zto35W0B36/Ps/usl2W7pXLs9OUISCF0T4YYIQgjSTRMIMSRToDH3sMOGNq/v84N0dLq/1CKMUx1IhzUgRjP0I0oxyycQ0dCxD7uE7wxCyjIkfE0UJQZQQJylhlJJlIbahsTBTZr5VYmtfGhy4QYyhK9imjhcm7LZd4jTl3Ztt0kQmxQwnAaoicsFXWgi5j67tYZQUqY9CwIWVxrF7euyGXF7rkaYZ7YFHp+9JUqOjszhdzl2ApdNnrWRRL1kYulLMqSVLY5yTMtIkY7M9Zm13TJZlHPRc5rulog6yMHUnJeSoY7iT1/zuxsJ0mR9f3ieMEkZexEKeYPncmVYh5KiVTV57YYEkSXnzWlumJI0Dfnp1n7WdIZqm8KtfXjmp3T2leNA+7Sg0VSlSnz5PqJXNx0q/e5R1zzI1rr3bY2NPruWn56t8/eVFKo7Bs6vyby1DLRI9hJDnjcN/h3HCG1f6pElKZ+hzer4qU0erJoNxiOvHHPTcPMU3RlOHbB5McAyVSsnkzGKNg77H65f3GY1DdjrSBVjTVOZaDr/wyiLru0P644CRF0IGIzfkUEdylMgWJaAKSfoOEmmmlWaZFI4ZKjoCU1fY6br0hlIwNtNwGIykOKjnBAzdCLKMOIU4jrm+OaCZk11VVSmE0nGS0R8HxfubqktDp1bVpmTpKIJCeDaT7+c6A4/O0C+IuBdPNRDihFR1gicPx9LuWweQLs1yz+wHMe/dkmkRiiIwDZXbOyOGk4CxGzHXckDI88VRlGyd4WHqn6awtT+m3Xe5ttmXdQ1FMNOwOTVXozNwUQRouoKiCk5Xauz3XRQhiLMMx9K4sTlgOAny1AKZTJYkiTS6iAIEMF132NifEMWZ/LnICFIFoUjh+GgiiaSxkmFnAlVT0FTB+u4Ix9S5st5HUTJ2uh6aIoiSlJKlMXQjFAGDCdQrFn4Q45gq7b6HaQiiBColFV1XWFmoIoSgZOnFPGDqKrd2hsXnMddymJ+q4ucC3ENzgJM9/tOBx91DlCwNBFxd73Fre0B/GNAfB2iqQoZcK7b3RyQIyOD9231WZkvSDCJWiJKINJUGDLqATJHnZTeI0DwVkWXEaVqsKaoix4E8L8uzfJykhDGYqYZpKEzVbBpVk4NeQMnWqJV11nfH0hQty9jal8nwux0Xx9LIKnKcgRR039oe0u65qKoUps81S4WZ4d1QFcHKXJWj4QCOpXF1XbrsCwTPn52iVjaLFEohZA/GMjUWzA8vcCpZOgf5OXriR0x8+TPXH/DcmdbHVv+6ttGnn/MYhuOwSE4t2zqmrhbnGSH4TIglSpZemFoeimRP8GRx2NP/IFiGhm2qeHmi21TNZrs9IYpTgjChYums70lTBl8kOKbGQd/L970xaZo90DBKFfCdN7YJwgRlE4IwZas9JkkyTE0lSdI7/UIhxYmHKZlhLIVhh0lzC1PyvJ4kGV4QY1s6339nhyyTiQ5H029NXUUI5c6ePE34v/7rn+bp4/Brr53il4/0Lku2XsyxQkhe0GYuqKg4Gnsdt0gVPrNYoeyYRe29WbOPnYcc6w5XQFEE+z23qA2uKUPOLNaYn7r/fN6sWezmKR4IaNUdZhp3+of/8+++X6QWP7va5M/+3NkHzlOdgScfm8GNaMCzq61jxk+O9fC+zN04akJwNOHLMlUcU8N5xHlFCHHsPZ3gZxOmrj5wHDwN+Lnnqvx/f//4z552AQfAs6eePmF3b+TRHQaQwVZHntmeNpRsnWrZpJqvI4/bg/30d3cneCxcWZNNyUOHixN8evjNXzrH737vNm9db3N5rcszJ8KaEzwABz2vWG/CSLrTH93gHrrpH2IvL3b0RgFuIBsCa3sjLiw3GExCFEWhO/Qp2zpCEZxeqNId+KiKwkutKToDHz9MqDiyqN8f+TimhmFodIYBtikPVqqqEITSXT6KUzRNUCmrCEVgG4KybfDlZ+cYexGdgU+jIg8x3/7ROioZF1dqrO+OCeOUVy5OU3EMrm70qJQ0DvpSse2YOoNJgMhkhOFhhVHXVMolncAPsUyTMHdpaNVKBHGCZSjYlp67fCg0qiYlS2e3MyFDHl4298cYuoJlaEx8n3bfw7E0hmPpTKCqUC3J159p2Agh6A59wjhmvlVCZLJBvtUeY5madEifKvHqpVnW94YkiUwM0aTtOXtdl1bNpuIYnF+u06xaTPyIsq0zVbexTQ2BdAmrlmRc+mASYBsajqWTphnv3upwe3tUHIg7A49rG71CxLHfc4sC7GGSwWedKP55hHS5TvNCwcMbXiXbYKpm0h16ZMiCScnSMUwFL4y4eLpGFCe4bshM02bsxpiaiqVrRFFCydawDemEreSkiOmclFAtmzSqFhkZZUcDBFGccH2rL90q84SeiqOjqgqvPT9HECXstCfMtUrS0SaTDpdLM2WEkM6T55frRElKs26xtj3CDSJUTaXiGOx35fxjGQphlLGbJ+JoqiTsDccpu50xlqVRLxt0+jqaEiMUgSLA1BVAFOPgK8/N0R8FBGHMmaUGkFErmXQGPs+catCq2nhBzJ/7+ipX1geMJgErc1UQsqjg2BpTNZv5vMAz03CYeBGmcf/vJoxk4cHQVeI4pVm1iJNUuhSralEwtwyVmabDwgMOmSVb58Jyg+7QZzAOsHSliFv1go/Xbfrw/vuoSRdZBhdPNdjYH6EpCqcWpFvHM6ca7Pc8SW75EE5dnaFfkAnTNOOg752IOB4RWZYRhFK0cXtniGlqLLQcbu0MJCnzEZ7DMVVSUqqOiaapDEY+EZIZqSCLZ9MNG0OXSTFhKAlZ1ZJxjyPmcBIWxVMy2O96lPO0G0m2FHRzp8yj7o2rCzVMXSWKU2aazkcmGR8WVideRL1yL3FEUxUunW6y13XRVOWB4/UEJ3gasd9zi/PB1c1+ERnrBzG3d4ZMN2xJrMzTo+I0kQ1UAclDnhcoiDtLMxW6w8N4aw1dU6iXLfbiDEOXKmrb0tGN+4/lNM0IwpjdjowwB0lGPXTZ/iB80Bh/EnhSa+aniYPenSj5+50VPwpMXeXiqQYHPQ9DV44JVh8Haj4vVx2d9sCnVbNYnC5/oKjhacZe985Y9YKY4eROM/3D4tVLc4RxwubemOm6zQ/f25NJKQLaA4/zyzW6w4BW1eGg78szvipFF6auMXKlk22cQBAkqJqgO3CxDLUYB7N1m0bNolYyGYx9bFMjzVLiKKHsGMRJim3qGJoUeSWpnCtefWaKm9tjpmomb10/AE2SQNIM1veHLLTk9/yLryzxw3d3AdmcDMIY10/QlIy1vYkkEwi4tTXgxfPTBGGCY2mcW6qz03FxTIXTcxWubA7x/IggNNnt+qR5AkG9bPLi+Wn6I5+zizUmXkRvGGAYKsszFSxdYejKVE4/CLlyu8dM02HoSkFGmsFue5InYCZYhib3THFClkm39dX5Kr1hQLVsYOh35o6Dnsf8VBk/iNA1lUbFIkM2oj8LJIkPi8M6wtgNP7Y5+AQfjDevtxlNQimsjCI290acWa7TMs1ibdVUcIMUVQBkRRJtZ+Bz0HMLolAQJkw1LFRkYkCtatCqy/N02dboT4LC7XHiR1i6RhglqIqgVbNIs5QzixV+5UsrTNVtLpxqsrk/Yq/rUnEMSrbGYBSwC5Rtg7ErHaAXZ8poqmCqbqEIqJUsXjo/xXSzRKtqEYQJQSTnx0N3+CyTe53D+y7LMm7vDfP6pE6n7+HYGgLpImybGlN1m0bFRACzDZu5lk0Up8xPlRBC4AUxp+ZlMqkiBJWSzta+rOcd9KUoJAgTglAKV/a7LrNNh1/50gpvXW8D8Py5qft+T8+utvCCiO+/s8viTIlnz0wRhAmDcXCPKENVFZ453WCv67LXnRTvMY5Tbm4NTkQcJzhBjjhJcb2Q9d1RUb+7vTPktefn0Y6cJZZmKjIhPExo1Sxq5Ty51w3pjX2ynFgWhLLeOVN3uLrWY7rhcGG5jq4q7HYmnFuq4/oyhZtM1vVeOj/N99/ZIY5TuiOP9sBDVRTMNBfS3+iQpClVRyeME5I4w0sS1FwkcUgfUPO0pJKjM9O0GYxCNAGGoUkhrQrVkoam6dRKGsOxj64r+IGsXy5Ol4iyjDjNcP0IVVWolXQWpsvYRp5SkGSULA3Xj9jruUzXLBamHFQBjm3whYvTOLZOo2rxZ79+hrdvdmhUTH7upUU6Q5+DvsfidBkzTzf4uGuXJzjBw9Ad+kWqTppmDEYBU3WbkqUSN2RS1/mlenE+ifPew/JMmY4pU4unahbv3+7RHfnouiBJZSIoAk7NVWlWLRzLYLs9RtcEU7lxTncU4FgaqhBomlr0Hf0gLs5ImpKRkeXJhim6kRvkVU3p+K+pVGyDztCTqYaGnp8vUi6eqiMEtHsBhiEIYsFwEqCJFEUolEwl7yspCCHI0oQgjCmZ0u1bUeDMYo0gSihbJl9+fhpNkWezU/MVNnfHJFnKbLPElbUeUZyiKPJcetgzObNY46DnYZsq03W76PWe4POBo3WusmNwfqnO6+/vkaXSpKBWNvACKc4wVIEXK5CmZORpDm5Eq2ah5iKMAT6aqqKqEMWSlBzFMUkSo2sKSpaBULANaZSghdERZ/UMVTFw/QjbUjk1X+fUXIXpus2fet7moO+hqgpCKEUaQ28QMF238CJJDn/lwgxl544xomVI8ZJlaLhezOb+qEjvSTPuEUnMNJxCZFmvyD3CoXgAYK/j8uozs5i6ysgNObNQ+0j78ZmmQ4Y8RyuqKMxx0iyjN/Q/FkGvH95JUlAVhbKjM92QDvcL02VJjtcUgnyv9FmoT5xbrrOVmwzOtUonc9CnCE1T+JUvn+JH7++iCsGFlSZvXN1jbWdIyTZyMwRpCNOomHSHAaamEqcpli4wdR3XT0jTjLKt0h9FHGo6NE2mW0UK6LrCOzfalGwjH68Zjq3jhSlJklIrGUzVbPxQCo7mWw6rS3XWd0fYlsrcVBmyjOEkwLF1NvdGJGlGmmRkWYamgqFreH7MpdUmihCs7w1RhML63pDRJJRmhcDr7+8dE3Esz1RQBIw9eRZ492aXZlXOQZahMXRDVEWgqOD6Cb/22jw3Nwc0a7K2kaQZUZRg6CqnF2qoisAPExamSlw+YsbT7nucmq8SxTLJWFMV0lSKu3Vd5eXzU6iKYDAOWJmrMNt0itrr2IsKAQfA5dtdvvX1M0XS8t1j6Gg92g8ShpOQiqPfd568H46+p7sT+p453WSnLcUmJz3XTx5H75mnOcnED+NiHDxt+N6V8T0/++GNTb58duk+j356sL4ffvCDPmPoDn0sQyVKUkxNZX333u/ms45qyeDccp1+fg593L3ip7+7O8GHRpykhZL8mdMnIo5PGzMNh1/64jK//6N1/s3vX+P//De+8mlf0gk+ozDu2kzfvbk2dPVYPrepqzi2jhAUmzcr/5vBOKQ78FnbG1K2pMv64nSZmabD6kIFIeShfvtgzPWNPm9cPSicJ37xlSUcU2PsRbh+zMgNGLkxP70mUyHIMqJYFi9tS+ObDQtdU9hpT/JGaMzIDXG9kHdv98hye45qyeDaxoAsk8kdL56b5a3rB/THAb1RQJZlTNUtahWLME6YeBGGrrI8U8YPE1YXaux3XbwgRtMkUXoYRRiaSppJpzzPjxkoMlYxyzKCIKI/DoiTDMfSsQyV6YbD5t4YRRWoPY+pusV7/S67uRPf+eU6Mw3pOLp9MOb2zpDhJEAIQX8YMD9Vks6bM2UWZ8rSzfNm5/j3lKNRtY6Rd9I04/3bXcZuxNCVxB7b0PKDp5J/dwFDN2TsBgRRjKlreYKCft/XuN+9coKPH4NxwLWNPmmaUSsbXFh5uHOZJjJGfoJQNFQlwjZUqiWD7tDn+2/v8h/+8BZCVfDDmFbN4txSg73uhIXpMrtdQX8yIogTMpFxbqWBG0iXmizLsEyNn3t5gfdud9naHwMpIzdhtzNh4keYphQyRHFGnKRc2+hLocUkZKc9xjZ1dE1hZVbODXOtUiE+OiQLXlhu0qya/L9/932y7E4cbxRJpyzLUHBHEZ2+z8SL2G5PWJwqc3W9T8mS7juapuCYGnEqr1lTBdWyweJ0hW//aI2Dno8fRUzXHc4vN/iTN7eIkpQ/fmOb58+2eOXiND94dw8/jBlMQvZ6HtN1m7Kj89pzc9j5GDF09ZjT7N3jY+tgnH9OsDxbYbphM5xIZ74gTFBzIrtlaJxdqn+gy+KhE+OVtS7fu7JPhiw8feHizGPcWY+G3tDn+qZ0427WLM4t1R/7uXRNoVY2qZbuJA2BdE5/HPGFcRdh33wA6fcEx5GkGZdvd5l4EZqqMPFCOn0PP0owNJU4iR9JxeEGCboq8MOUaBLhhkkxjgUy9vbG5kC6bwvB1oF0xJlu2Hzj1ZVjJIm715pDh9vD9KB236M3CnjnZptLp1sFWVtVRCE6fFL4oMOsY+msLjw8DvgEJ3gacXQc2qbGUJHO2Yeu3INxSMUxZFPTj4mTjCR9NB+SNJMJd6NJiCIUNBVaVRvTVJi4EX4omxhlS6dVs6mV7yWkx0nK+7e6eIFsqM41Sxi6TMf5MMXlj9Ot+OierV4xOb9cfyrdZu/ezzzp/f+DXPofF7apcW65wbmHB7h8bmDqauGGCveuoR8WX31hEV6AMEz4Lz/coDeSaTW2oXJlrU8YpXT6Pv2xzzB3mCtbGl6QEKcZhiqolE1KjqwXGLomhQb5PnfkyWZrbxQAAid3t3VFxNiTRA8/TOiPpHu8dNjMcIO0aAZqqkKaR2hkWcrewZh2T0akJ1lWrMthnFB1DIQQhGHC9a0hXhDnn5t0k07SjDTL6A48sixjEiQMvJgz+XPsdyf8+MoecZIWc9x03aZVtdBUQW8Y4AYxfphwLe5zc6NPmsG7tzvsdWRqqa4pvHB2qiCKhXk6oEwcjBi7EW9cPYBMOmmeWazDoiS4OEfcf8Mo4X/74xt4gRSezDZLzDXlHGZ9xPSxTwuzTefEFOJThmNqjLyI3sDHC2J0VTD25f/XdY2pmsV8q8zG3oj+OCBJpLBr4ssxK9f/hDBKpfN6JNBM6XCZIkkKmiLPHIamEWYxpi4Ji52+hxtKwUPZNqg5NkIofPfNHS6tNpj4MYNxyMSP8YOE/z97//VkSXbneWIf1+5Xi9AqdWZpAaAhGo3pnpYjeofD3dmZ5dLW+LBG+UIzmvGVZvwH+MCHNSM55AN3aeTOzg6XszPd09PbAt1oAA0USqCqslJnhhY3rr6u3c/hw/G4GZGqMgtZqEpUfM1ghciIuOFX+Dm/8/t9xcZ+Rs2zSbIMin6kYSgi4if3ekRxjmXpvHS2RRDn3Nkecu1en4290TSVqVa2p6Spo/1MCMlHtzr80Y/uMRjHVEqWSvO1DGzLYKbpkaSq/plpKOOUxZkyrqN6ZpqmPdLhzzL1qSvvYBTj2CZ+IfBQj6/WxUrJ5tffWPrU9+rrLy3QqnnTZF14/Jp/dEaZBAnDyeH030/dsE9xCoWRn3Bjo0+W54z8lFrZQtM07CLF7Tj0gqB4HHOtEnOtEntdn2t3++i6ErUmac6dnSFJlmOaOvWyctGtVxw1OyjSK+oVm71uwH/5x1fZ7wZT4UQQZXi2WiP7k5CwIERlQvVAqzWVsi21jDwXZEKlmYmCyRbGOb1hTJbJooeak6aKVDsJUnRNp1a2GAVq9pILidHxGfkJ331jkaV2BT9MGfkJrm3QqrlT0lYuMt69dsAoSEhTgWGo+s61Db53vs1BP+SgFzLfLvHSuTYvnbufgrI0W6E3iqbmM7quPbdkv1Oc4rPgwf2z5FnYlkGz6MVfWKnTrLnTM/2omJsttsu0Gx4XVxpIKRlOYvYOA6TQKHsWOhpBlPEnf3uPb76ywPfeWkYIybX1Hhs7I25uDUFKNqKMmbqLRKPsKYO1askiF5AJgR+kRcqphpSC3Y6PkFD2TOabJfwoY1KcZXIhCROBrgtaNYff+voao3HMz64fkKQZ3eGEOE6IM7CMHMMw8CydKM0RQiDR8NycUSBwHIll6CzPVTm/1CDLc/76vR3+/Y+3KHsWawsVDnqhqt1KFruHPkGcUXJNXlprcmtzQHcYsnPoUynbjP2YVtWlWra5cqb1CydvnuKLR38ccXtriBCSZs3h4kqDZs2lXrHZ7UzwI9XPM00DiUDTNJW6WSRx6JoyB+wNYiplm6X5CvG2QApJmGRKFKRBVrjDHDnm65oglClSJASJVnAToMjiIBcS3dCYBCmmqfPK+bYSFaFmEre2BsRJPk3ks22ThVaZWslmbaE2XRPcQri9c+iz1wvojSMuLjdJMpVGjIT5dokzxWMf4aguAAph0/3EWaeoLZ7nzO7oHH1jo8/Pru2r1AHb4OLK5zOjMA39xHOqlZ2H5iHLz2DG9suAaegPvU+n+OJwY6PP3mEAGriWyYe3D+mPlHDh4kqNTIDrWORCommSOMtBQpQo8YWm6Soh2tQQMj3x2N1RXKR8azQrNre3B+RC7We1ik27riGlMjgtuQZ2MTc2DIPtgwkjP2EcQKvqEqWCJMlJMoGha+x3lamkZeqs7424eqeHkHBnRwm/B+MEtCKpN1bzEV2DpdmT/QE/StnvhQihUvKqZQvTUHPMJM/ZOVScCk1TCcBBlFMtO0ip0R/HbOyNSTOB55gszpQ5PGZwZxja1NzQMDRub/UZjBN0XePMYpW9Q8VvskxlfHQ8HaM7DLmzrfhTlbKFaWhTk1fXNbm+rlKFdF3jypnmif69WjfvvxfDScytItV9oV2arsGPQhRnfHKvp56Ta/Ly2dYJor1jGZxdPL1/vwikmeDavd6Jz4z7JRDmPQuklNP0KF3XuPgUfJsvG777co3/6t+d/LcXXcABcHn1xeOQe0d7Exp5Uf++iGjVXFqf0fjtCC/WSnAKAO7tjEgyQcWzfmEHxVM8H/yT37nEn72zwU+u7nF3Z3hKMjvFI7E6V0EIFQ945Ch1HJ5jcn6pzn4vwLZ0zi7WsEyDX39jiauFq9LafAU/yumPI3TbIIwz7u6OaNdc+uMY21LE7XrFIReSrYMJ+/2AcZCgoWKbPrp9yNdfnmdtrsq1jT5lz+ag5yOEcoxLU5XGkRXOLXe3R6zN16eRen6YsnUwYRym2KbOJEhxHZMwyTBMHQ1NDWQs9V/HNkmzlErJVCRiKVmYaZIkOXGaM98u8723l/jkbo+SY6LpGuMgwTS0qWN5lGTYlk6zVWK/67M4U8YPExULfrbFxt4YgLevzDFTd4smlEa1ZDH2E5JMUvEsJmFCEGZcXm2yNFvhcBBiGBqZkFQ85XhlGjrzrdLUpariWZxdqtHphziW8cSGRH8cTeNM5xolgjhjpm5xYaVOGKvBeHeoHLEMTeODW4e4tsHXrszx9kvz08dZmasihCSIMpo154Uren8VcOQeAko0NZwkT3wfehOVrIFUgqYjosLyTJksh/1BSNk1adZcDgcR33rV5dxSjXbdwzJVYyTLBHMtj3IR07nXDaYuD7Zl8uuvL/Ln72zihymzTa9o6tfY2B2h69Cue+iazm53RKPiIKUkSQX1ikHZsxQJq4BtGVxcbbDT8ZXAY6GKa5v89jdWef96h2oxVJESPNdE1w0aFVcl4fSCwuFWUPYskiTj3FIDDQ2hQaPs8Gsvz7MyX+PsAhwOIvZ66v4pGxaHg8LdNlWuuEma8/Nbh8y3Suwc+lRLFlJK9rs+q3NVKp5NmkuOfHNaNZeVuQr9Qsl8fMib52Iq4ADYPBjTqNh4rokbG7h2CdPQKXsWrZr7TPdWf6zcf4WQxJnADxMa1V+sEH8cNg/GU2J+bxgxaaefeQBjmSqCdrszwTS0X7ipOtv0iBLlsFopoq5P8enoDsMp+TPNciqeTRBnVDwbP0hVJHkqeExi8QnouiJWKwGITlokRhmmjmEoslKU5Hz/3a1pTdrph2wejE/UqBXP4uxijc4gxLENzizWMA2db76ywI8/2qVedbiy1iSKczr94JkSW05xilM8HVbnVc0XJTl/79tn+ODGIXd2h2qg2SyptLyyzfmVOj/+cKfYf7NpjPinoVY2p4LAsZ9gWTrtmovIYaFVoj+OqZZtfu+ba4/cHzr9cErGnm+WSNKcVt1ldb76kHvTF4Wtg/s122AcT89CLxpW5iqKGPKYs+IpvlicKYZacZpP6/DnAYFkoeWRJCrRToq8SHXUiJOMSZBhFnt7f5Io4b8m0A1FWNQ1sCyDy6sNrq33CKOM2VZpKmTKc8lMw6NecYjijJfPNbm1OWRY9A4GfjKtOe/tjhGFe79l6lxca7Bz4JMLyeWVBhI16IuTnCjKpq6Py3NlHMukN4poVB26o5C7uyP0gnA90/CYhCklx+RwFFHxbJUA1g34+svzREnOmcUaa4tVdg98TFOnUXXu39eTGN3QcGwDy1SOf0eExPevd8hzgetYpJng4zuHvH1ljlxI5R5qatOaNTumgPMcgwsrdbrDiJmGxyvnWmwfKPe5ve6EsEgqC6KsSEO01GD2lJxwis+I80s15holeqMIw9TxHJMkFYBOo2pSciwW2iX2uhNmmx6modEdRri2WQgXJB/d7lP2DJbaKrm2VrIxdIdxmFD1LExTJxcxtZJJktnUqzb3doaYloEjJRKU4YJtUi3ZxGnOza0hmlTDVx3V06qVHTRdo1J28CyDZs2lXXenNYFK8825vTFgba6qSMe54HAQUqvY6JpKDnUdk2rJYnlOkSaGk3jqXmnbBr1RzGK7VFy3pFVVfczZpjdNEWlWXZZmy08kIS+0y6SZMqH42stz5LmkNXaUw33F+UykhNX5KrlQjv9HgpIn4dXzbfwo43AQMtcq8dKZF29geopTfB7YLup0XdO5uNpgEiSUXItvvPxsBMuFdpmvvTTHne0hzZqjknktgzONKqMgUQljrsl8S7mB98YRi7NlRpOE7iiiXrbJc0GaS2plk1rZnvZgdE0jFwLLMtBzVW/UyjZL7TK3tpSw1jJ1wjgliDMMTUPXVY3l2gZBkfir65I0VQRZy1brWpzeT1HUNJWgFsQ5X39pno09NeM9M18lTgWNqsNcs8TW/pgwyXBsgzzPGfopc80Spmlwfb3HhWW1vux3Axba5YeE3xdXGqzvjchyyfJs5amSE09xis8LMw3VQx5OEsqexcpsha3OBD9MqVfuCz6PzvSHw5AkFQSVDK3oh3uOiWMZNKoub12a4c7OkDQXvLLaBgkf3Oxwea05ncvt9QOEUHW8kJIsh2bNxnUMlmer1Cs2Iz9lNKnwyXpPCbodqzDyMrFMJdQyDJ2LKw1ubw1wLYOKZxXJNgbnl+tcWK6z1w14G8n19R5lz8TQIQ9SNRO1DCxbJf4kaYam6biWQaaDZ5k0ag61ks2ZxRr/zZ/fQEgIYiXeHfmxSlIURQpqLkgzgW0aHAxCFkYRfpThh6lKFDEMpIgouRY7nQmX107rkBcdx/tc/VHMJEyplmxW56rTdL+9XsBCy8M0dTr9CE0K/Dij7JqkuSwI2RppLtGkSu7oj9T8G8k0Oe+YrySapoTXEhNdE4WgUZt+X9c0pNAQUk7NC5l+D84sVLm7M8IyNF4+28QyDSZBwsW1JmcWatOa+vxSnbGf0Kg403ODpsH19T6rcypN6nH73BEsU92jz2vm9SRoQNm1SNKcsmc/dU/2WWEayoRyuzM57T+c4pkRRBnXj9IiJPz46h5pKrEMDV3X2O2q5E0/Uv053dAY+sowol62WGiVOBgo0UK1YjMYx8Sp+rDblsVswy2c0k1cx6DkKm6A51qcX2mw3/WJ45wLyzUWZits76s5fbvhMRhHKglCUyYtc60SPiox3LOVaU4QZcw0PD6+05v2KW9tDSg5JrNFEo8QklfOt7i7NcJzTb796uKJ12D72No58hPeujzLrU0lNjmzUKU/jNjp+BiGMrg4mtdmueCj24d4jur1hnHGR3cOKRVfD8YxqwtVBiOVlNOsOVNekhCSj+90pz+bZoLdrn9iDru5f3/eP/FTfu+ba/z0kwNMQ+MbL89PU4WEkGwfTHjpbGv6u0f9jDjJmW14bOyPp4v2Xjdgcebx/ZLdrj9d68MoK5KHT+f5XwYcDu7P3B71mXkRMA7SaXqUEJKtg/ELx2e7tp0+9G/v3tvla2cXH/HTLw7ubA++6Et4Zrxyrs3trSFhlNKouZxbanzRl/SF4VTE8QLi6l3lCH/5TPNLQ5z4qmN5tsJ331jiBx/s8C//7Cb/+//sG1/0JZ3iSwjD0Dm//OQCbKbhMdM4GfF5bqnO2nyVm1sDxn7CfMuhUrIYTVQktpSS/V5QpEnAy+dUca+hmi6GUawTxX+2OxPevX5AfxQz3/LojxP8SIBUw4wsF0h0XMfA1DVcy0Q/5maracp5V9dVAygTkqEfk2eCTj8gl2DqGlv7Y+rFAEIKnywTuJZBq+4ymqTc2OojhFTK9zBl93DCYByRCahXHCqeyV7XJ05zpNSwLIM4UYTVb726wCRIubbRJ4xyWjWXdt3j0mqDj+/0yHNBreai6zq73RDb1KmWlfusRLLdmfDejQM29sYkaU6trAbNR2vqg3GFc82Simv9FBxfk01T52y7dsJBf2VOkXeTVLA0W2FprsLbl2cfOmAZuvbcivX9XsDm/hhd17iwXD8lhD0lHnSX/rT9VtfUvZMJgaVrfP3lBdo1l3/x5zeIC8fcMErxo4xqyWK+VaJRdbiw3Jg6tSVZThjlfHCjQ38S4djGdFCh6xoVz+K1823GQcLhMOLOzpDuIMQ0jcJpRzVSozhn058gkUxCRWSMk4yPbnc56IWcX67TqKomw1FNsdOZUPYs/uydDTb3xoyDhOXZCo2qix+myjFKwnyrjKbBne0hYz8hzQUvn22xPF8hjFMc20QKye3tIf1JwjdenuPVc23+zd/cKZoUSti12PaU80+ckWQCjZyf3+ow8mNqZdXskBKiNCNOTQxdY/dwwg8+2CHLBa+ca59wsjiCpikR2H4vKNxEIM9ztg4maKj1cHGmzKvn2w/97qMgpeTuzojuMGQwjmlUHNXoLlw/nhVxmnNjo08UZ+x1/anr3t95e0U1ogqotJD82Ofrmf/UCRyliTwvPO8Uhq8CHlxTklwQxTkH/YCRH5E+IYjj+DBFSAgTia5nSAkiF8jiF0UuyIBcCkxDrQf7PZ/BOGYcpvhRyu9/68yJ/eW4g9VwEnN7W7l8vXFxpiCWKXQGyuHNNJSjxmdJcbm7M+RwEOI6JpdWG7j2sx1Fk0zwlz/boNMPadU8/u43Vp7pMaZ/3y7+/md0NjkcBPzV+zuEUcqltSbffGXhMz3OKU4Bai+5cKxWXJ2v8cm9Lu9e66DrMN+qMprEDMYJs80yfpSR5ip++2kw8jOiBCTKJbY7CNnv+khgZbbK4myFl882+c5jnKmPr12ObbK2eN8Jbxwk00HI8mzlCxsCPLi+fpnip4/XEZ+29hmGzlzT49bWYDqwPxXPfXlgmYp8+Lyh6yr9cr5dBg0OehPu7IxIM3Xu1XUwMMlRLnmWqaMLdR5P04xMgJXlLM+W+Y9/5woA/VHIT6/uMwmVO+b5pRpBlBHGGY5jEMUZUZqTS8neoc//7eqH5EIy3/KYa5ZIC0aCZ1usLtSmA9zjATfbB2NuFAnBb1yY4btvLWOZOq6lszhbYbEwnBkHcSGm0DENjWR8v77NpeSjO10mgSJvnJmvcW5B1Si9Ucgf/fAOUZwz2yxRq9j0i2GxxrHeBMqZ93AUYeoaZ+ZrrBSE8f4oZL+XEkRqICOk5NbWECkl55fr/KO/c+FEPV87p2rlSZgA/vTf+6OQzf0xhqHSM4/XwbuHPtudiXI1XG0817QbOFmbrcxVnnuqUVKcTcI4o1lzubBcfyGTjL7skFKy3VF7b9m1GAYqrTYXctqv03WNf/DdcwjgoBeQJMrB+cJyjeEkQaLRbtgIAQf9CYNxim0rQuFM3eXO7pAsl5i6xtnlOq4hWWiV2Tv0kTIqEmq0aW9BSImOhqlryrU9VkRHxzZAk+SFO3VASphkNCoO9apTnFPVyUTTNUxdncGlrkxcjj4/7YbHa+fbJ/oouq4x9BP64xhdA9vU6Y2iok8g2dofT8WiZxarnF2s06ja/NEP7rLX85mpl3BsjVwo4eP33lpG15Vb7Xy7xGhDOQDONDy+/fqnJ248CWZB3Hxa6LrOt197sYe8pzjF54HpTAJoVh2+/drCZ+5Lv3KuzSvn2qRpzr/4sxvc3hqyuT+mVrb4859ust3xsUw1W2nXPc4u1Sk5JtfXu2ztj4nTDM8xcOwycZJRci3mGiZbHZ8gyMgygWXpaJqJkIKtTkgQZ7i2UdQLxRqnKROePFdJ4s2KgwTGw4gsz0FqeI5K7w5j9bhhkiOlJExVQvCbl2Yf2dME+P57G1xf75HlSkTaqNjTmcRRMu7G3oi7uyPubA/47pvLJ2oT1zG5cuY+8Wtrf8wPP9olzwVvXJzl3FKNm5sDkjRnrlViaabMjY0BQZRO+9SnM+dTPAkH/YCNvTG6pnF+uY4fpex0JsV5qfmQCdHKXJWVY7qt4+LKve6E/+9f3mbn0Gem7k4d5o8+gmM/5tq9HludCbMNj9XXl3jrpTnWd0bTmuNojqfrGh/fOeSTez0O+j4qoFBHQ7IyV+XCipqLKQGJw/rugKt3u8RpTqPqMNvw6PQjhJS06zbLM2Wubw7Y7QZ4joGGShWolh0s0+SnV/f48NYhG/tj4jhjrxdOe7clSyOIU8aBSjGoeBaZkOi6Qc0zWJuvoevKhTuIUpBKSNsbxUSxWqtatSNjB5WIVnIt2nUXrXhxjl6jo8Tx4/PbGxt9hhN1Dru81jxx5onijJubA6IkY7ZZOnXg/pIiTXPubg9JhaDkmGR5TncYs7E3Is0l55brGIbGylyVwSRmsa3zO792BttSLvUbeyNGfsrBICCJM3rjmJ2OfyxxQ5lEuZZOEN3vL+ZCfS9KM/JczeeElAXXQEM3VDrlTMNVwvNiXwqihD/92w2ub/SplW0aFZc8l7x1uc35B86YP/r5DtfWe/THMbWyjW3p7B36HA5CWlWXtYViT9NAFgk7Y1+lFF9abZyY3UeJ6nMYukaSCdxfYPzVH6l5K6h16khkBso44/hZXP8cz8z1ivNCz/BzIbm12S/MNGwurTU+0xz1FM8OU1fig/44ns7CFWdBGTY4UrC57+NHGWXHZKbpUqs45Lmg7Fpqf9FA04uU3yLZEk313oJIpeNKqZJGDV2Zyuk6RHHKfjdQoixb5+XzM1Pzv3EQc3dnSG8UYRkaZddgc3/CYBJRdi1eOd/i1fMz0+exvjeiP1Z9Asc2OByFXL3XU3XHUo33rh3QHcaYpsar55snzv5ZLri7OyTNBPWKQ9k1GfoJeS4IIo+SazHfVhwH1zHZPVSGtY5lMNc8yc3KczFdh5tVl1fPt1ks1gE/TPnZtX3Wd0fYtsFbl2bpazF+lOLaBtWyzUe3DwnjjFbN5cElo1n3ePPSbGFGa+OH2fR7D9bhD/Ymto4ZkKLxxB7eg4/1ZZqZfNXxq/De6LrGX/5sk/W9EY5l8AffOctrF2Y+/Re/RGjNP2zUuvjibsFTVMvPdz7xy4BpqDUfJLalnxAKf9VwWjW9gPjojiJcvvaUBMRT/HLwT3/3MgA/+GCb7c7kU376FKd4Nuz3AkYT5ZIZxsr1sll3aNYc2nUXpzgUHC/WdV3jwkqD5ZkqS7PKAbNRddjrBioO0dK5vt4nyzLadaco9sGzFcFC0yT1isNbl+eYKwjnuq7Rqru8dXmWqmfhmDqaJkGI6WFQ5JIsl8SpQOQSXdMwLZ12w8N1TO7ujNjvK1KpcsuN+Ov3t+gOIzqDiJEfEyf51DFA13WSLCMMU7JM8Mq5GcZBSrPmcnahimno2JZB2bW4uz1CSolpGNzbHZGkOZfXGgBomqTkmNTLDr1RxEe3uyoBAaUWblQd2jWPtYXqY909Pg3Nqmpe6bpGyTUfSXQ+v9zAtpRb+tmF2ucaa55mOet7I4SQZJngzvbwc/tbv2o4s1DDc0x0XWOhXaL2KQVvtWJjGBoaGrquUytb3N4eIHJRDA3U/YWUmIZK3uiPYg6HYfFNSFLB0Feq9TSTDMcJ0xuzeIAjYoSuAVJjEqYIIXEtgzQTSJnjOSbVsoUm1QFeSEF/FBfuU+pzMBhHfHjrkDyXdPohP7/V4cZGn2v3+qS5xLZMdg99hBAszJSZa5VpVG1GfoKmaeq1MZSDqGnqBIFyiZNSstP1GfsJWSb46dV9GjWb3/r68tT97esvzdGql5hteiBVA6hVc6iUHGplm1yoe/XSagMdFdssgR99tEec5OS55MNbhwwn8WPfDw3ww4Q4zgr3LUXg0orHe1r0xzGHgxAp4fxyjSRVQ9q3L899JhL75v6YMMoYjmOu3u0VhLqcv/1478TPnV2s4diKYLMyV5kmA53ixUWr5jLTUPtD2TPJCrfYJM3JxeMFHEc4Gq5Mv0bDsXRyeV/gISUgVdJO2bP52ktzmIZGbxxjmzqGrvHjj3YRjyF/39kekmWiSA3LKblqDfQckzBWMe1JKri7O3rm598fRXT66l4Ko4yt/WevlT+5q4RoUqpkkw9vHT717w7G8f2/H2dsHoyf+e8f4adXDwjCFCnhxnqfva7/6b90ilM8JaI4Y+yn1MqKqHl3e8jQTxmMIwbjCE3TMJ/BTVXTNCSSIM4IC1dHw1DOsP1xhOeYNCqPT5WaaXi0ai66roYKx5NA7+6ooYgQks39MVGSPfZxPk+sLVSnNdviTPkz7c+fFwbH6ogwytg6ePLad3d3RJKKwr1oMnVkOsWvLgxdY65VQi9MErJcFvu0io62TQNNU43sMws1Sq5KhKiVVVKdlJI0k3SHUZGep9FueFi2MT1D3NgY4EcZQsLNzT5hlKGh+gXru0MyIRBSsnvokwuBjoZrm+psIVShEac55ZKt6hjXYH1vTC7UgP7ntw/pD4vPeSI4v1THNHUc2+CNi2ooqaHh2RavnG9jmjqeY+A6BuMiCaQ/jpmtexiGRslTw+M4EUhUL+Sg66OhkWWCtcUy5ZKFaWi8dmEGxzGnz2eh7U7P2uWSXQhS1e/tdCYIqQRth8MjUvvDeP3iDDMNdS2tmkN/nJDnkiTJ+dFHu9Ofi+KMzf0xQkjSTHBv59nro0/D3Z37tdlGQXB/ntg6mKi0EanS/3qj6Lk+/ikUeqOI/lgR6WplmzjKkcUxP88lIheFNEmy0Cph6BqOY3B+sY4m1fnfLGryIMoY+0rQmeWCMM5Z31OGBUipRFphhqYpp83lIqVCSiVGS5KcMwtV4jSjVrE5v1ynXVd7vWObLM2Ui8QflaaRS0kY5Vxb73F5tcnafBVT16lXbH7tlXkurLY4v1JjabbCueUajbLNwkyZl860HkkCnm95ykRF1xFIGhUHy9DY74eMw5Q4E2x3Jux0Ajb3Jvz7v91gqzMhyyUf3z3k+voAKWFzf3Kiv7W5Py5MblSKWH98+lk+xSm+DFibr07rk/l26bmQErvDkCBSNXIYZ7xz7YDDQYiQgkmQcThQTr/ruyNmmx5ZrsinrmWSZjDyY+oVNeMI4gzL1PFsEyElhq4TJxndvkr3y4UkTHL6E5WiZGgaWSYBDc81yYs9ulayFNlUSkVm0zRW56p8541F1QfS1BymUXFwLH1Kon0Qh8OQmxsDdE2J7Y7ErIahetO/9bVVcqF6MipNRPKTj3cf+VhH+NuPd0mKXup7Nw64sdEnLgh4+92Am5sD/KK/caJPfYpTPAJZLri3W8yacsHVu122DyZIqeYa68/YL/zzd7YY+QmebbLXDUgywUK7RNmzWZmvsHPoI4RkvlXicBCh6fD6+RneujI3PVN85zVlrDIYx/hRpvqfmo6uqXu75NnKOK/uMQnUZ30wjvmLn20Tp+q80emHmLqOZenoGizPltnq+CpZx9Tw4wyJwCnu73EQ88HNQ7qjiO4woju6L+AACFNJLsAyFQH+yPhqrlmiVrIRUtCqOcw1PTr9kLX5KrZlkmWqFzvXLJHlklbNVQK2szPMNl1cx+Q3315hea5CpWQz3ypxfrnOXMtjvl2i5Jq4tsFgHCOlMg3bPTzZs9w4VjMd9IInzldO8cVBUhCp0aZnieEkVrPzOGPsJ1xYaZBmgiyXXFxtsNf12Sjc3ueaJTzHpFV1mYQpcZqTHdt7hATXNpGPmBEYhsaRbFvX1UxC09U+Zuo61ZLFS2eatBseC4Ux1Ac3DhkHKfWyw27H52AQMNcu0X3gjLm1P+b29pDBOCbNBP1xxEFP7Tslx7ovTjI0zi7W6I2iKS9i5Cfs9YLpY8Vpzsbe/fP43Z3PPvuWUpnS5bkkzyV3tofk4v5dvTxbnqZztuouM43H91G/6lDrinrPxkHy0Bp0is8PuqEz01Q9fNPQObNYU/1GTd3vzjQNFOJMkOcSU9dVnWwbKnVDAlIjTTIsQ83SNcArkmg0CmGXBqZZCBxNg3s7I5IsRwLbhwF5nhdmLroSLmrFXF5T9ffRDCHNBBoaZU/dXzMNj9cvzkxTO5ZnKgShEjtKKfnhhzv0ijSMLJP86d9unngNJGrd1Av7l3evH0zr4Kt3uyo5VNewTJ2Zuqv4FsXPztRVAqeuazRrysTiaB0+4igc4XAQsN8NkCjR3b3d4bT3qaHR6fvTXlt3GNGsujiWMuNcmi0X3AtVSx0OI+bbqi/suSZrn2KgeGG5jmWqvue5xfoTRVJLM5XpczqaT5/iy4HZhkez5tyfub2ARl7ru0O2D5VhTZzmvHe980Vf0jPjUaLMXwVzo+HkxeuJHg7CIg0O0lQwniRf9CV9YThN4njBIITko9tKxPH6C6Zk+1XHuaU6v/bKPD+9us+//LOb/G//k7e/6Es6xQuOKM64tzcizwtW5jEYhkbJsLiw3GBpNiM95pYtjjUXbFMlahiaRi9IiOKc/jjCtUyMwrGuWfMoezaea5GmOWXPolKyqJRsvv3qIo5jYOgal9eaJGnOvd0R3WHEQrtMu6GaQKI4kGmaRp4LFf8bxYxMnVfPt6mVTTqDSKn0keRCKkK5EPihcqFKUpW6YegatmVON+r+KCTNVET5lTNNkiwnF6L4HcFMw6VassmF4KPbXbJcsjhTpl13p+5buq7TrDn0R5FyHSxeIw2NetmhPwrJhcRxjF/Y3fLcUv2JKRq1ss1bl5X90E5nwoe3Dyk5JmcXaw8lgPyiEA98dMRTqFb3uj6dQYhrG5xdrH9lY9ddx+T1i0+/z2ro5LkgywQSybV7PfqjGMdWSTaTUBEyV+arpJki30yChOvrfaIkY7FdJm9Kvv/uJv/6B3eQQrIyX2Pe0rFMvRDiqPt3HKSUHIvzyzW2OmNGhZNlybMwTYNa2WK2WaI7COmPY84u1rie9tgt4soNXSOMU+VgU7YJopTrG32EEARRhm15WKbObNPjf/kfvslPr+5xb2+EberTOO69w4AwybAMnXOLNaqeyU+v7jLwY4IwQ+Q5QZyzOFNGCHjt/Cx5Dof9EE1TrnHnlxv83rca3NlWA8P5Vpl6QSSJ45woyZCodUxK+VBTWQjlVrW+O0ZI5U5bKanEnWrJZr8XMPTjqePpTMOjUXE4HIZ8ePuQds196GB80A846AXqkCYlg0nMXtcnl+o6vvf2Ki8fizJ9Vhwpx4+awNOv85P3ZtmzHuvKd4oXE1rhUHd+uU6WCd6/eUiz6tDpm/hRiiEl+WOWaJWqBVIqxyukBE0ihCJzZXlOnquBykzd4++8tcJvfW2FgR/jhyn7XeUAL+XJGuFBHN8jjvZ921Jxxh8XIvJcCLb2lQDCMpQTrqFrnFlUwrdPe+wsE3yy3kNKOU38OegH2JbBuaUnCxvzB679wa+fhAf3v6PX4eief5q/f//vnlyLsscQME5xis+Co8/qXNND06A3DImThCjJGExikjSfiro+LYxDR7lk55kkkWo4Ypg6mgaWabA8U2ZppjwlOzarDw8h9cJd/lGQD/z9o335zpZq4NYrNmcXaw/V1s+71iy51jPVbL9MPG7teezPi2f7+VO8+JBSUi87rC1U0TRFprNNoxiKalRLDqsL1SkZuuqp2t0yde7ujIgS5TqZ5jmdfsA4SKmVTJZnKiwXoqv3bx5wb3dEngtcx6RZdbA0vfg7kKRqsOiYBnGakeVqjYmTjN4oUTW49PiLdzbYOfRp1xyiJGMSqGa6Yxn8+OoeEz+lVXd540KLiZ+gGzqafjLBrVG1adc8DF3j7s4Qn/tCpQurjelZ45///z5UAnmh7gPPtaYu1PWKwzdfUYSVg35AZ3B/MFGvlqZn7Q9vH9Kq3V/Xjs5cR3jcGuraJn/vO2cBdV77//zpdUZ+gq4pwsb096VkEiR0RxGGrsiazxsnrlE+3Xn+2R7/8bVVmgnu7Q6JkpzZhvfcU0C+SsiFIhDPNjxaNWeatpRmApC0aqpvZRoqWWOuVSoMT2LSTCX3xUmGQKNWsYnTDFkQEYI8VemWaUalbONHKZ+sH+LZJvWqzUy9TLPqouvqPJsXhL4kVyRB5Th5P3m27FnESc7G/oiDXkBeiMXiNKfiWfyjv3OBRkWJyHRN48xilSyT/Hffv8l2Z8LZhRpfvzJHs3ayphgHCZ/c65Fmku+9uYzrmLx/84CSYzEJEvb7AWlBLjMtTZ3/pWS3O+Hezghd07AtHc+5b26QH9M0Pe3+2R9H7HT8pzq/nOIUp3h2bO6PGUxiKp7F2kJN9VYfMcM8HAT89OoBQgjevDTLSlEr7BxOlDC16JM/ipTUn8RMggTL0mm4DtudCQJ5ov9tGToLrRIzDUVitUxj2ttYna/gRzkHPZ+SYyvxmmOw3VVCkOE4Zhwm+FFKnisCt6nrVF2TsmsymiRohfgWKUnSHCEU+RTHol13WJuv8p3XF7mxOeDCah1N17EMjblmmcNBxP/5v/4ZYZTTqNrUSg4r81WWZ8t0+gE7hxMmoUoRUwZRNf7hd89hGjpBlGJbKjn9yK01/xR954nvS1RayLFUswdFrafnj1M8CVKevNeEkGA88HWB7c6E3ih64twrKz6ghqHRqDpcXG1QL9ukmcCxDI5KX9PQsCyN0STmz9/ZoOTa/O6vrTLTuJ9qnQtBo+KQpjlJJql4FueX6yzPVfi7X1/l9vaAva5PnKj5pxASXQMhldO4Zeq8fWmOcZDQG4XsdCbq+WrQLFk0qh6ZENTKNqMgIYwyVVOlOekx74X7d5fq2+qahmMbLLZLrMxX1FzW1BG55PbmgE5BcH/r0iwVz2I4UekEZxZd/uPfuUy94rC5P+aDmx36o5gf/nwbs+jnDMYRtzZDqmWHb31vnnrFY+cBg8kH7+lREPP997YIwpTVhQqXHtPvGQcJG3tjNA3WFmoPJayc4vOFbal+GShh/9E5zTRUCkar5rE4U2am4XI4iAjjjBsbKv2g5BgMJim1iuoL3N4EP0hOGEgVXnOPPBO7lonr6ERJjqlrTKIMDWWaotIBXV4618YPU/5P/++f0R1EjMMYTWiUyzaOZTDfLqt9kft/I4gSfvDzbW5sKPPGsmdR8WwsQ6dWdrALY8WXz7amKRibxQwiiFM6/RA/StE0jf4oIsty4iTDKdJuf9H967jjszLKkhzd0ZZp8Mq5U2Pdp8FDfdCvsJP2LxtSQrPicmZBndWrnkV1tcl8q4Rp6NzbGSCkEioZmjKb/PpL9z/X7984YDhRZpBoDlXPxjCyqWHEJEiJs5wSag9t1VxC26BSshlOoqnpmeMYZLni9ICabdYLE0yjqGHrxwyldE3DtVUf1LUNltoV/vC75wHVx7t6p6v4R6g5ei6ESg2CKdfiCJoGlqXqDcvU6Y8iNvaVoctSu8wr59s4plEY11lkQiXxHQlOrhyb/X90+3C6DsPRvqjEqlmWoxfPRdc18hxMU4lBLUt/aGbiORZrl1XyVZrl7HTui5uEkEpkYxu4tjLy+dHPdzgYhMw1PL712oJKRilQrzi8fWWOp4Fl6rx87rPzGX5ZeJDn8SKnET0tdF0ZKEV2jusYn2vC0+eFOBUYmkZeiLQeZx75ZUbe/6Kv4PPBxE+/6Et4ZqS5IIgS4lQZHWUvaP2wdTBWRk6uxZnF2mdK2flqMjNfYGzujxkHCY5tPJZMcYovDv+sSOP4i59tsn/MEeAUp/gsuL09ZDRJ8MOUkZ9gmmqRNw2d8bF/j5N8SupoVJ1pYoCUkhsbA67d7fL+zUPu7oy4tztCkzAJE4Z+zKXVJoauMwlTSq5Ju+5iGBqOZXB+qY7rGNNhLqiG0WAcE0QZt7eHdAchEomQOo5lYBk6uq6SPECnXLK4tzvizvYYP8w4HISUXYt62cbUdWxDRTJaloEQEiHVcCGOU8qeSacfECeq6JsEmSK8xxmDcczVe116o4jOIGQwjvnkXp+qZ5HlOZv7Yy6tNplteIRxqlT9UhFMusOQZs1hdb6iolp7Po5jMfYTPrjR+aU5avfHkXLYjTK6w4itzyHBx7EMFtrF+6fB2vyT45GPmrNhlNEfxdMD6Sk+Hfe2B4zDjCwX+GHKTtfn/EoNISSaDmXPZGWmQskxePVcmywXRXyouncO+gFjP2ar4xMnGaMg4e72gDjJCcIU09DY6fjT6M/BJFYNUCkRwChIVPMyV469/VFEo+qyNFPGMDQkGqZp0OkHDMYxlmnguspdf31vrEjIBcE7jjNMXeP3v3UGQ9fww5QkyQki5cTfrjnkUpFO0lzQbnhsdwN6o5gkFURJziRSUcZJkpMJwQ8+2GYwjhn6MdfW+0ipiN86cH6pTrvukmY5UkoqrsUoSNg5VIMVP8wwDZ03L89OUzTOLtVo1lxubgwYB2o9vLk5AGBlThHWWnWHpZkytmmwMFOiXrE5HCrS6JEb9mB8323KD1Pu7YwIoozr6z1ubqnXf/NgQhCkhFH2C8f3Lc9WMA2dZs1lZa6C65gYhsabl7+c5NNTfD4wTZ03L85Qr9johmrW8IRznJCQZoVTr5BkguIeUg1DpCwIBDDXKrE0W2ZptowUkiQTtOoucdFYfOPS7Imm33Gszlen17E4U54OT8qeNXVp6Q0jHEs5Z79z7YCDXsDIT7i1NXjic25WXWplm1vbA3pDJah878YBP726RxCpfX1998npGC+daVEpqQFQyTF55RlSCRsVh1pF1UeGobE8WyGI7t/zg3HMvad0DHzz0iyGoV6oo9f6FKd4Xii5FrNNTyXWTWJWF6oYhsZokqKhSLVxkj80DHgUpKaEFhKV8GXoOnkOQZhRL1vkUiV0VMsWtzYHDw0+Pg2rBekcYLapIslvbg64szOk0w+4vTXk7s6QcXDfNeWrVms2q0psDuoMt/wprkpr8/df05mGR/mUKPErD13TiNOcOMmV23LDnpoeGLrGwmxJ1dyp2u9744ggzhgGMWmek2SCKM0ZT1J2OioNb/PAnxKTDUOjUbKJkowkU83wJBXEqTqzOJZeJAFI0jxnOEnxw4zOIGT7wMePU4Ik59rGkI/vHDLyE+7ujhmMY7IigTMTkoNDHz/K2Nwb8m9/uE53FNHpB/zk4/2pUMu2dPqjeNrHqJYs7EI82a57nD9mhHBusU5ePH6j6nBxuXb/+VQdhpOEIMrwbGMq1HBMg++9tTR9jCurDerF3u/YBr/99dVpnfPS2SYl99PJ255j4jkWaSZI0vyE2M00dIJYGVKEcUb2OZAe146ts/PtkqoZnyOWZsvTdKdKyZqSZUCJ7vujmDDK2NgbT0U7p3h2tOseK/MVLFNnHCQqvbVwbDcNHcsyqFeU43SSCXY6Pof9kDs7A9b3Rhz0Q4a+OpMPxzGOqWEaGkmmPnuGBmGcs98LSLOMJBUMJgm9kbpPjnqEmgbVksVu12cSpNxcH3Bvd4RdkByOUiDXFqosz1aYa5YQUmCaOmsLNQ76IbZl0B+r+3gcJNzcHPBHP7rLtfU+/XHCezcP+ZsPtk+kxgghp2QtTYOdQx/D0PiNN5cxDJUwVnJtTEMZzRiawVyrRKlkEsaKbBxnOZmQrMwfnfVdzq3cXzOW56rT+rxWth8pTE0zwa3CcX7kJ9z+lPPLKU5ximdDdxiye+gTRhmdfsju4eP73H/17jbdoTKe+esPtkkywXASs7Wv+uS9YfTIBLs0yxlNlCFNnOQEccZvfm2FeskBTZkzVco2lqn6bmM/4dXzbZUsJASvn2+j6zqTICHNJLnICZOMJIeya6pEcV2loR0ZUKWpwHVUDxUJlZKNFJIgTAkLs6rBJCYXYkrkqpQcPrzd5eZGj2v3BkyChP44Zqcz5t7uiINeyL29Ee9e73B7Z8i71w9455N9OsOQMM5JUkVMTVOBZ5tTEuvtLeUS3m549EYxAslbV55sAPPWldlp/XNxtcHltfaJOdKllca0Viu5JrOnDr2neAIs02BxpuiBaXB5rUm7EDnrujbdp/ujiO2nmHt9762V6edvoV3CtY1pnX97e8h8qwRIdjo+tmnw3vUOd7ZHdIchf/X+zonHOrtQZ6bh0ay5lD2T+ZaHbRu8URg+aCiSYJzmTKKU1y62kajUm5JrcmG1jh+n3Nzs0xspU6hhoNzkDVOnVDIVIXQc06q604RTOGm/JwHH0or+rSAXEs+2GExi9rsB3WFEmqq67fpmn84gxDQ0bm31MQ01LzlKSSi5FkmS8YMPtjnoB3x855D3b3S4tTXgL9/d4qefHLDV8dnuTPjjH24AMFskMAAFmb7EcVy706M7CPGjjNvFa/kg1Fy5jx+mTIJ0Wsed4peH1bn7Rg4XVxvMN9VZcGWuohI26i7z7RKr81UcW2enMyEXgjTL+ehuj04/YLcb8OfvbJEDaNoJQphEkaMfDH81dEWArpdtbNPAj9Rc3TQ0Ng8mZFlGs+byb/76Dn/+zga3t4dsHkzoDhMOxxGHg5A8V6k1oM6YR0YIP/5ojyQVmIYyvMuF4NxSjTcvz+IUZO+zS7UTZ9KFdgnb0tnpKNd6S9f56/e28MOUOBWEiTpzKLHRZzdV0DTtxFxkZa7y3A0XvyqYa5ZwHfV+Kn7C6dzklwVd14iSfNqjEkLiR+n065JrkWQq0TPJBOdX6tN+0GzTY+RHxGlOmgoGowiB6slFhXHlUf/LDxOkpsRhcSqmqd9ZUT9nmcAPIyaB2kMOBxGGoam+Wia4fKZFtXy/V9equ3SH0XRmX6vY0z7Y8myFWsVRtXGWc3G5ioq/U+vYcTEnoGr0KCNOc/wwpTeKCGJlfNEZKmPKqDhDSCkJQsVhCOOMBzt6q/P31+FmVaUMHT0nP1KmGFmR3rO2qBJDkiQnCDNmGt6JXttxQ5gHa6l23WV9dzSdlfzFu1vc3h4y9hNubw/5+G7vuX5Ovox4kOfxLOZ9LyoOBw+cnX9J3LTniYvLVSpli1yo1OtXXgDB0INYWXyYmLGwsPAFXMnzxbdfX/6iL+GZMfFTgignzQTjICGKXzwhSm+kjIPCSHFiHxTXPy1O7YZeMHx0+xCAl8+0nhiPdYovBlfOtHjr8izv3+jw3/75Tf43/+TNL/qSTvEC4/jQ09B1Lq82sSyDLBNTR2whBFsdn2bVoV13MA2dn986xDJ1/ChlfWfE+t6IKFEE5EDTaFYdVuerBFHGfLuEEBLb0riw0qBacsjynKV2mbggKnxw84DeMKJWcaZN1ZEfc2dHka4qnkmtrOJ/PctQh5Q0R0ho11ySPGccJIWjnjq0/963zvDBjQM+vnNIpxeyPwgpubZy/5CwMltG05RTTXccYxk6lqEjNegOA7YPfXqFM9dLZ5t4rsEkSHBMl7MLVUzT4Pe+uUaWCX52bZ+dzoSDvs9Cu8KZxTpXzjT59mtLTIKE7/9si/6x2OBJmAAnGwvDSUxnEOJYBsuzlenB7XGQUrJ76BPEGa2ae8IB9P77e599lwvBRkGkX2iXn4mwJYRkt+sTxhntuvvQsHptQTkgH0VoPgnHP3NA4Qx5iqfBOEzRpIovFhKSWKBpBq+db7KyUOPMYo0gSDEMg2+9uoCQEj9I+PhuF8vUubhax9R1GhV1H+iaImt6joltGdzcGNAfReSZav7PNF0urNbZOZyQpDnDSUSUCNJM0Ky5NGuOcrnS1Vqga2oIud9TBCuA2brH1sEYkQtKjomma7iOxctn6/zdr60RpoLvv7eFaxvMt8qA5HAYEkQpZddkEiSUXQvXMgiiFNPUSCPV1G1VXV4+28IydSZBeiJpIs1y/CilWXMoeRaNukrN2OtOaNU99vsBfpgy1/RYna9hmTpJmrMyV2V7zieKU146o1x6k2OE043dEYNxzOJMmbevzAJa4UwssE2dNBPT5scRjn/mjz9WnOb4QYofpVQ9i+X5Co6hc7Vogr96vv1Qg+hpUHIt3rw8S5YLfu2VefwwxTZ17OdMyDrFlwt73Qk//GAXdPitt1do1T1evzhLs+bSqNi888k++z2f7ujJh1IJeLZBnOY4lq6cc4Sk5BmcW2owU3N4/fI8v/2NNUC5c51brnNmoUYuBBdXGyzNPEwgllKy1w3wo5QzC1VaNfehRIrzy3VW5irc3howDtTQU7k4qn3ieCLYo6DrGlfONKdCCV3TCONsOmyBk/fgEaIk4/0bHeIk45Vzbf7wu+cJkoySbU4boU8DXde4stYkyQSmoSOE4Nq9Pntdn1bNxbaME/vyk7A6X+U/+q2LJJmgUpCzT3GK5wnPUe5Lsw2PZtVl5CegjUiLxK8k+/RGto7aj0uuiW5oIKDdcJFCUnIt1uZrpLng/JKK3ZZS1X1Pk0ZzhFbNpXZlrjhLqN9Li2EQqLVFCLXX7nX9wlH25LX/qteauq7x0tn7a8+nOa80ay5vP/CaPiviNJ82CBdnys+d9H2K54ODXsAoSCg5JmXXInBTNF2jVSvxjZd0hqGg7hq4rs1gHCuitw77PeU+Wa84rM3XKHsGhm6w251MzwXNmsvyXAX/IKHuOTTqLpcM5QwXpzl5LgjjhJJrU604LM1XkCn4cYprG7iOhaGpM7+hFYl4SPIchMiRUmCaRuGMJskyidRVjW9q2on7OklzNGDoJyy0PJI0pzeOMXSN+XaJf/x3LxIlGRXXPCEynWuX+NbrC/hByvJsRQkoTR3XNrl2r0sUH7n2Gvz+t1bpDGNaRcre+u6ILBcszpT5h989xyS6Xze8cXkWIQQl1+aPf3SHu9tj1haq/OFvnD/x/hytWZ5jcmm1wep8BV1Xzt5/9tN1OoOItXlFcm9VXTSdqcvgo5Bkgg9uHDAJUy6vNT9V0HWEmYZHo+r8QmvCk1ByVfpfVpyX/Chjv+tjmjrhA4yeOM15uqs+xYMwdI3XL8xwabXJBzc7dIcRSEVgqJVclmZLLM9VcC2DwTgiilMmUayIvEmGLJwpmxWXSZRQclR6z3Y35LDrY5gGaZohczAME10DNCVsch2DpZkajYqNEIK7exP6w4jBKCNKMixLZ6bh4To6t7eGXN/ocXGpzrmVBv+zP3yFH32wjW0rkkGcChxLZ6+rksE0TSNOUq7d6zEOkmlKhh+mZLnAMnV2D33GQcJgHFMt2azMVUlzwavn2ly916NRcbBMjQsrdaI4YxwktGvKeTqMEu5uj/CW1FmmZJv83rfOsN/z6Q8j/uRH99A1SbtR4q3Ls7x1eW76WdYe4WKY5YIozqZr0HHDmlOc4hS/OOI0pzsM2e5McB2TStlmY29EmgnmW6UTZ+cwub/H5LkkyxTZqj+OCeOUkmvRqJ50YE2znNvbQ/Z7AVfWmggkrmXxrdcW+NqVWT6628ezDaRQ6UG9UYQfprx0psWZpRoLrRKvnJvh3/zgNmM/ZlAIY0uFm36j6tCsOZxZqPHJepe8myNRooyFVolvv7ZIfxKzexiw3/U5GARTI5uSqzHfKrE8W6bkWnQGIULkjP2UJM1A0yk7BlKTREk2TQmfGnXkgrvbI4I4BQmeY2AaGo2agwRubSli0/rumIpnsVSYUiy2yqx8ShLY5bUmawtVsmP9i7cvz5IJiVPUFm9emp32Th+1fp7iFMexOl9loV1C09Ssaa5VYnU+V+7axewpeeCc/7ie4bmlOv/rf/IWfpjQrNh8dOcYUVEq0uRc01PC8UyQpIIwSXHHxkNGS6ap8/vfWmMSZdimTpKJE71DTdOoVxyCOKNWsnGsEv/gNyyG44iVmTKOZVIr2QggChPiJEWTYBpKjO7aBq6ts7k/4b0bB5imzlzNxbU1xkFGFCdIFIHUMExcWxlpWLaOZmiqjytyeqOQvZ7PbMPDcwz644SDXsB8q8SZxTqNqkMcZ/hxxq2tATN1t1gnVa8lTvLCEE+9pkJK/DDhk3td3r1+wBsXZnjtQpskE4Xh3sl7OhNKJC8Kg63eOGR9z2ASpBz0fAxD56WzzROznCwTKrnkMzjJnuKzoVF1ePvyLHlxDsxywVuXZzliNmswPR9evXfITz/pYBpQLzsIoWaUg2HOyE+QE4kUkkrJQIicLIMkv5+QoWmga2DpYDsWZxdrrC3U0BF8//0dpJDYlk5Q3Ftb+xNsS8fUdeIoU/M1KSmXbJo1hytnW5xZqNFueNzeUukgb12eJYgydE1jabaC50TM1D1MQ+Pls22+8/oSWSZwbIN7uyPu7gxJ0pylmTKvnGsXJm8aea6M5YRUSQPNqsObl2afOPve3B9za2tAtWTx1qW5x84TFtrlQkAin6k3eoRcSHY6E+I0Z65Zmgrpv2qwTJ3Xzs+Q5o9eg07x+UEIVctFibrXJJLl2QpppoTGH9/rstjymEQZZcekXnZ54+IMwyDmzHydf/WXN9UDaXLafxsHaTFjMKiVLKI0o1pSBgztOY8oyil7JkGYMFNzSXNBrWRx0I+5u6PElueW65QcxSfwXLXXnpmvcHtnxEJLGclt7o+J01z1DOYrtOsuSSpo1VwurjRYnSuj6To3NwaszFXojUJsQ58azx3haB4qcoll6nxyr8fyXAUEoEG9bLPQKqPrECU5aapIthXPZvdwwvruEInG+eU6l9ea03XYMHR+9sn+9O/EScZ331omCBNs0yATkv4oJBil1Cs2Jc/ipYXatD+RCzk101xol0/UUiM/odO/L6ic+CcNVIIonb4+sw3vl5pScTgIpymLn6cg6/hcWJ2RBIb+/HugXyYkac7Ij/HDDNc2mG2+eEJ6ic6vv77E9fUeFc/mzLHkmhcFP731sMHczzf2eWNt/gu4mueHu7vDL/oSnhlpnqPrkKUSyzEIkmczHPwy4EGe5YNfPy1Op7kvGD4siNuvXTiN7fuy4p/97mXev9HhT3+ywT/7vcsnXANOcYpnwXy7xNa+IuDUKjZlz0LTNGxTp16xGU6Uk61SqKe8d/2A88s1gignijNcx1QRwWlGFOcESYZtGvRGEYauIzTJz64dMFt3adZU7Kpjm3iOSW8cs3PoMxjH7HQn2IZywquWLOZbJT64dYihUZDBNVxHU00YXWcUqYGtqevoOsxVXXY6Pmkm0NJcDZ+rLr1xTHeUcDiO0dCIU0HZMamUbMqezXyrhGsZJJkgTnNMQ8exDe7uDNnq+EipDlkf3DzkpbNtbEvnYBCS5ILfeHMJyzT4+HaXW1tDNvfHSCnxw5S1+cp0SFEp2bx8vs0PP9wp3LSsh4YfR1G0R31hISRnFp+caLFz6LNdOIb1hhGvnGs9RPRs1Rx2D3WSVLDfC6hXHLrDiMEk5o2Ls1PBzKdhuzNh91AptHujiFfPtR8SgTwt4aNecXAdQ5FiNOXofoqnQ7PqkuZySk0UUrDf9UmynKVc409+tM5Cq0yz5vL997b43W+ucX2zjx+qwaVjGfyPvneBv3hni24Ro91ueIz8hI39EeWSRWcYsd8PcCwTqUGj5HBptcH19T71iksll5RdC13XWJypTJuN1ZJNq+7SH8U0qy6OlRImKT/+eJeya+G5Jgf9kFpZOVy8enGOn93o4Icp9bJDbxTx5uVZBpOYeslmfXfEz64d4Lkm/XHM8lyZVtVlEmSIgrDpOAaWqXN2scZMw2OhXWav6+OHKVKoz+r67oiSY/H9dzfZOfSxLYNr6wPevDiD45gIqRotZc+iWrL505+sT5sZ/8NPN/nHv3mB+VaJvW7AbtdnqzOhFWfsdX1MXefKWSX0cIrDvm0ZLM2UuVG4aNmWTrN2v+FRKzt4rkkYZYhcOe5lmSRMMjzb5KM7hxiGThRn7HdD/vFvnv9M4gsVGXt/DTrFrzbyPOe/+bObBIV46qAX8r/6D98AlIPz5oGPH2YE8dMRmZM0R9c0klRwNBMNo5z1vTH1isvisWbafLvEOEwwNI2aYzP/GKLSXjeYOjv2hhGubVKvPLxv2JbB0myFGxt9bFOnUbWn+81C+9P3C03TePV8m+57IVKqgdSZheo0nXz+EXvOD97fZq+r0u12uwH/6HsXqH3G+0bTtOn+f+3egEmUEqU5WwcTzi3XHvn3HwfbNrFPb99TfA7Y6/ps7I0xdG1aF95c73M4jBj7CVn+dE5EAsgLoReoIZrnmERJjqHrDHxFCj/oByzNVKhV7Klb47PANHQ4tlzMt0qMJiq1r1KyqJYtwjibxoTnxZTY0PWvTK15fO15Gjz4mj4rrq/3pgT3kZ/w5qUnu/Oe4pePw0E4FTV2pWSn65MUjWld14hTDdvQiVLJTnfIkQHZOIgLV3oYBymL7QqeozajZtVhfW+ClDAOE7qDCMc22D0MMA0NwzAwDDBMuL01IRcwCTPmWyU8ywILFmY94kSldOga2KbJoDA7MI1iXRGKjFT1zGkj2tQ1/CBHSJUecnaxNl176hWbj4o+5k5H1RpGIdZoVBwlZjYf3lDzXDAJFJGxMwixLZ2yp35uvlVm/UgUqmvsdUM0TeOwH7K1P54Kl4aThDcuzZyoG46+9xc/2+Av3tkGUEkEps7vf/ssoAQ2G3v308GOIu6PfvbujhqErO8MefvKHI3CROFJA82ffLQ7fc93OhP+8DfOP/Xg9RddEz4NR2eTNMu5dq+HKN47XUexgyS4jvFLHRT/KkLTNDzH5OZ6n/4oYuRnhHEKQkPToV5x+dHHuxwOIrqjiCBMmQQqQTPPBWAwmEQ4xV6+14s4O1/BQGO354OmYVsaUggwdEzdoFGz0dAQueTOzoh6xWE0STjo+4COHStixr3dEVfvdInTnDDO2e34DCYxnmNiWSZxknNjc8jaXGWaYOG5JkGYFhHxJjsHAilTZhoel8+28RzzRF9sEiSYhqpFlmcr/Pz2ITfW+xz0A+I0I8+VEUrZsxDA7a0BX7syy+JMid3DAEM3WFuscdAN+NknBwzGMf2JSja9cqbJJEj53W+uPXHQbxka/XE8NXVonH6mT3GK5wrL0Pn4bpc8l2gaaBIuram+XH8c88bFmWl/+uJKY5qmuzxboeTaDCcpg3FEmqm0sMtrjROPf2NDJVpkuWCrM+HcUp3VwvV/db7O2M/wo5Q7O0PSVJAJQRhlpJng4kqDS6vKGTTLJDudgDDKCdOY0STGcy0OegEzTY8kFXiWiaEbBHGGoWtMwoz3b3dZmSmz3wvIi35hLgRZrMjVjmlwbyfHMHQaFYf+OCLJBJquI3JJlOQ4toGua/hRiqFBtepQckyyLKc7itE0yShQ5zRNN0FKDgcBlqmz3w2wbYPeMJz2hvd7Ad9/d4u//+tnn/jeuLYJx8otw9Axji2Xuq5Ne6enOMXT4EGC84Ozp2b1/txL03giMc2zDTxbfX++VZrW4ZWSRWk651D33tHkJYiyR9beuq5Pa3/3gSOGEFIlbEhJkuYsz5QIw0ydefyUGctk5CeEYcbQTxj6ydTsYhykRLEgTjMO+mFhwKUx8SMs0wIpiTOwDZ1MCNAlaS6plXTCSOA5Gr1RQpoJRkFGxVP1V6vm4kfK0OegH/FbX1vFjzJ2D9VsYzSJiRP1XLcORggBnmuSZ5LZhscwSImTjMNhxNnFGlfvdMlywTdfWXhsD+LNS7Mc9AM0CdWyrdaSbsDPPtlnEqbMtUrsHQa8eanN0FfXNtv0TonYXwCOr9WmoT9SpPBHf3OXv3p3l0mYqPQmp3C8TyGXOX6UoWlqVpkLcE0DTZfoUoJUad/FkY8cdQ7f7kxo112kVAl3h4MI09BUekcqiNIYxzK4tFojySVaQRZ3HZPZuofnmCzNlvizd7amYqBJoMwMfvjhDr1RRH8UkeUCP87oDCL+g984T6Vkc/Vul9vbA67e6WHoGvu9AF3XWZwpczgIMU1NGSwUYpaFdvmJs+/uMOSv3tuazvbTVPCdN5Ye+/NPO5N/FNZ3RxwO1OxyMI557UL7K2uqclpXfDHQ0Lix2Wc4UeddTYeVuRqQgQarcxXeu3aAEBDEOVkuOCjm7Tc2++SZnN6zQZASxTl5rkyaxlqM45jomoYGrM5X2OuGKu0jzmjXPboj1T9MMsnuwZhJMe/sjUKGk0QJPIfwJz++x/nlBgDdQUSz5jAYx4rzE+fUK5OpyEyZ2NgMCzPzS2s1/uLdTaTUSDKJaZzcm47PQ11HpXFdvdsDXSXsrMxXGRWvj20KPritzi6bnQkHAx/PsdA1jYNegGMZnFmsTdfh2aY35SesLlSJ4hyjWItsJO98MkIIycBPOL8ScG6pPu1P3N66/74MJjFvXpqd1lL1sn2Cl/PWlVne+eRAGeOaSkR6xAHqjyJeuzDzmWY4z4r+OOLOtup/9oYRmqY90/z0WXDE8wCmhnu/6jAMjc4gJM8lk1Djkny6md+XCZJiDpXkRIkyc3j7ytwXfVnPhG9eqvN/eeDfXnQBB8CFlRePn+yH2ZQzN5okGC/g0aNVc9k9VJxYXdeY/YzmQV/N6vEFhZRy6r7/2oWZL/hqTvE4vHZhhlfPt/n4Tpd/9Re3+J//49e/6Es6xQuKxXaZJFERgecWa1MnJE3TuLzWZOQn04FAnit3/t4oRtc1DgYBQkhGfkKz6tJuOuRdQdWzmEQpnUGAYWiqidpwqVcdkiRntzPhzGIVwzBUnGqaE0UZqSEY+zGeY3B+qc7Hd7qIXDDT9IiijJfONOiOEmplizRVyRvLsyXqZZeZpsulSEUwGoXT1J/+ZJ3tzoSoIEeXPBMNaDUcXj/bJsoko3FEuWRxfqmK65iUXZtbW0N6o5g0FziGgWeb6JpOvWTSG6om03LL4+svzZNlOR/f7XJ7a4Cua9iWSaP8aHfxZtVhEqbMN72HSNlhERE5DlIsU6dS+vSUDD886aauiGwnO8eWafDahRkmQYpEohVZrXku6Q5DciGpeNankiWOGr0ASHW9z5LkcRymofPquTaTMMW2jF/KQfBXBWkuKDkGQZxjG1CtONSrNoNRzK2tPt1BxH7Xp1K2OTNfplKyyAqXOtsyuL3d57//mzv8+hvz/PSTA6TweOlci/4ool5xyHOJ55gststUSzbVso0fp/zaKwusLdRI05z1vSE/+XiXK6sNJkFFpdNYOkGcM98qMdcsYegapqlza3OgIsr9mLJr89IZh6+/vEDJNiiXHD4Je1OiRa2sRFUlx0TTNO7uDrEMjSwTlDyTSZBRr9isLVQYjGMqJYfVuSpvXJrh1fOqXvntb6yw0/H56dU9PrrTpdMPsE2d/Z5PZxgxmsRqjdMk/XHEy+0251caXFptUCnZ6LrGYBLjhylCqubMrc0+SzMVZhou250J9WPuNv1J9Mj3qV5xeP3CDFGSY1s6nX6IaerMNjwMXaPimrx//YAozXj5bItMSGyrztp8bUq8AuUMMQ5T2p/SiB2M46lbcuUz3peneLExCZOpgANUstPNjR6TMCMXgkbFQTN0yo7aPz/NlF6iBo+urZMVjdAshzBMkFLw3rUD8lwy2/SYa5ZYnqkwCROWZx8fA35iH0HtI0d7j5SSTj8kE2Lq9HJ0D33tpTmCKMMwdCqeRZYJrm/0SbOcy2stSu7D98fqfJV/+N1zDCcJ8+0SlqmStMJIRRlPwvTEvdIf30/KyooYzUc97rNCkSZUVHoUZ1xZa05JmKc4xReJo/XCsU3OLtS4vTMgyjLyXDy1gMMALEu5drueRZbkNMoOv/7GEqNJwsiPsSxjmnTXqNqcPXbW+EWwOl/FNDRmGh6tuhKWHd8/DV1ncbZEreSc1pqfA3IhpwIOgDhRqQuPW/9P8cXAj1K6w7Com21MXePQV7XwbKtELnK2Oz7zjRJBlGGaGpqm0R9HmAbEiXK2W5pRqXXlks3trQF5rpytRS44HISEaY5tGrx8tsW3XltgOEkYjGI2dsb4YYxtGczUXC6uNRlNYv7+d85yOAj58Ud7XFit8YP3tuiO1FB2pl6iXfdY3x2ztlim5DkMhhFSMiUI9cYRC60Sv/HmEs26h6lrbOyPpyRuIdR5Zr5IiSy5Fr1RRBRnNKoOhqHTHYRYphKDj321Xr18rkWSCsrF/GGu6REnGWGcUXKt6TATVO290FbrSparZNEjsosQkoN+gJSwdaBSS9IsxzQNto/FW/uRSuOL4gzPNVmdrbDXC7AtnSzL8cOUJM0puRaObXDlTBPT0J94Bu+P759NpFTXeaLWGoRkmWCm4Z0YVgqhvpcLwWyj9AuRSj4NcZJPBRygegNXzrRI0pyKZ52uI88BIz+hMwwRQhClGRIwLW2atHdna8AkCBVhL82pOBrVuke76tCoOmwfTOgOY7Jc4NrKMOHtK/P8zfvbBIkyb4nijFrFol0vcX65zmAU0x9HbB9O2NofU/YsPNeiUrLUWb9is3MwYeQnGMWELIwz/CgjE1D2TBxbJ00FtbJDmglqZSXk9sOUMFaugQuzHrWSzT/49bPUKy4H/ZD9bkB3GKo+xoxy06yVbXYPA/7ob+4QhCox2LQN1ubKyvyhVaZatumPIwzD4H/6By9xc2OAQNIfJez3Ag4HIVkuyDOJhjJr2dgbMhjHNKoOWS7o9EM0DeaapSnpMCnSAKple7oGneIUp3h+2Dn0sU2DhBzPNhkF6iw/8mPSTDCcxNMh9rdeW+RMIfpcLAwhJkFCpWSR55JWzcXQdbrDkDjJp0RnTdNo112u3u3RH0a8ebGNlJLBOEbTFRlmtu7SGURY6Hi2ydCPuXqvy8bekCgVHHQDXNtQQjopyXJJFGdkQmKONc7Ol8lywdJMSRHbNGUwEwRpkVyo0fIUoTmIMuIoQUiNSZSS+TElx8KxdGoVhzTN+bWXmtzdG7HX9UnTnHpZufMi1dzGNjTaM1XSInm5UXUpOSbnV+ogNc4s1NjvBYCg7FpUSibjIJnWEYPH9D+fBsfXy9miZ3yKUzwP2Nb9uZfrGE9NZF5ol6mVbdJMUC3mAaASO6plmzBKCWOV+tGqP76H54cpg0lMyTVpVl3evX7A3360S8UzWZmrkWU5/UlKtazWHMcyGPsJSzNl7lRM+pMQkUsMXRHpTU0jF4KRn5Bl6t/RIEkkZVcnywVlx0DXdVw0gkRQLVm4jkm1pCMkxHFGdxhjWWoKaBo6fpiw3C5jGDAKc/7mwx1+5xsrjHxlqnVvd8TyXJnvvD7Pz2+ZuLZBpWRjmwaea1Gv2Pzrv7pNmuXoaNzc6PPJvS7DccTvfevsI1+bt6/MsdAu0R/HnFuocr0Q1PmxmrnkuSDJcuZaZRZndTRNGYQ9iCjO6I2UccCpkeXzxfrukJ9c3addd6dp249CLiSf3OuSZTnqpCaRUrAyV8c0DLoDn9EkKRI1lSlDkufoGpRtnUqlRBxnhEmKHwlMTc2sNdSevDBT4bULMwzHMUjBZmdC2VXCH881WZ2r8tp5Jequlm2urDZYXahRK9n88Od7fHK7i2Hq1CsOjqXxu99cYzyJuW7oIAUDP2UcJGRZxl+9u0WpZLGxN8IPVF80y9U991fvbtKouazOV3nz0iwVz1JnF137VIO0/jjiOC+2P4kf/8PPgON9jKMzxfH5ihCSOMm/siKOU3wxiJIMS9cJwhRdB13zeOV8m0mQYFsGH94+5MxChf1eyGzTIxdyWqdXSja1skWcZORFivfYj8lUoBw6kq9dmuXW9oCFdonVuRoTP2XzYMLl1QZ6w8MwdcIwZaFdZnN/pHgyEjKhIaUgjFIMU2c4idjYG7LT8WnWXV67MMPZxRpJKnAdg/4oZLsTkGaCCyt1rqw1WWgr05ibmwOurNYZ+imOZdCsndx/WjWX1y/MTPtYb1yc5ZVzbdI059JagzDO+GAQ4jomSSoReU5vFKMBY1MllcdJjmPr9EYRJdcizXLaDY+Fpse1dZUY9vr5Fo5jMQ4SLFPn+nqfRsVhEiaUHGtqwHMEPzqZQjjyYzb3J+i6xstnWg/xchZaZbrDiHbdZWN/TKcfTmujMM6eOE8JopTBWJlyNGvPNu+MkozeMMIyldFLGKcEkTINDh6YIT9PrC3UaNVcciG/MilGeS45s1BTQn/LeCHTEMd+QrVsI0mwDH1q6PQi4We3H07i+GjzgNdWXywxyoO4vuF/+g99ySClhq5J0kxiuwb90fOp2X6ZsC1lin5ne8h8y/vM69lp9fgCYX1vzGCsBq0POtGc4suFf/a7l/k//F9/xL/70T3+ye9conlKCjvFZ8DdnfvODZ/EfV67MDNtph/F/15abdLph8od0jGYaXjc3BhwOAinzjI7XX8aJT72U9IsV6mrmoap65TdkEmYkAsouxY7hxPOLtWplGyiJFfuUgWxctlUTTkhJeMwpdMPsUyde3s+ZdegN4zY7ykBydV7AxoVm9qhgyziTTVd4+O7PaI0o1sQFUxTDawtUzU0/+RgEz9ISTJBlGSUPRtDh4prsT8IiWI17JZ5TlVI5loOV+8NlIMM8MGdLv9jAT+5us/NjT7dYURcRK+26u4j78dmzX3sYcY2dbY7E9KCWftgPOOj0Ky6DAriqa5rj92kTUOnUXWYb5U56CmVeS4k93ZHUzeRS2uNJ64hzao7dQ4wDI3qL3jAMQz91GXzM0DmgkmoDua5gChKCZOcjf0JJUdnrxeia9AfJ+x2fGplj598coBpaCSJQCA5HETsHPrMtzzSTLLX83n1/CyjSYJlqEFlEKVUPDXwa1XV+zTfKvGjD7f5f/3JdaSE9250uL095PLZNr1RyNp8DTR46cz9RJgzi3UG42TaXLywUucPvn2WD28dqqGkrhMnqlHq2gYrs1V6bsRBL6BathkVoqYoyXEtnVbdZTBJkGh0hyGXVutEcc719R6vnGuj6zor81X+7J11bm8PkVIQJYJ23WPix4zDFF0ryOjtnLu7I2oVh2+8fF/xbho6g4kiraTFsOXm5jbVkoXnGNzdiZhteGi6xvJs5bHvleuoKPWPbh+SFHHuQZTh2jr/j3/9MXGR/jMYJ/zm2yvYlnL7Obt4X8hRLdnUy0++T7rDkNtbyqlipzPh5XPtUyHHVxD1isdMw5vu55ap8bcfq+jdOM046IVYhkac5TwNPzsvRB7HkzskEGfw3vUOd3dGXF3v8Xu/tsad7eGUuDgJVR3xKCe2ZtWhN1SD/wf3rOO1SKcf8tqFGVzHxC0ahccTO/7q/a2p2/767ph/+N1zj4wob1TdE4KJLBdsFEkgD94ry7OVqeNLybOeufH4ODSrDv1RjKFpzDVLp/veKb40aFad6T03Lpz0/CBlEj59ozwHyCQSgR8ph/ooyfmjH9zl7/7aGpMoY9axGAUJMw2PwTh56KzxWTEYqyEEKCJXtWTTrLl0izVG06Bd806Jk58TDF2jVrGnZ4NqyT4lXn8J4YcpP799CFLdE4NRTFYMOm5u9AmLVI69bsBiuzw1IXAtg/2eOmN20hw/zMmFcifyo4wgVkPBOBHs98Pp8MR1TN66PIdrmwz8IfuFc1ycCD6+15vWH//3//5jQKJpKuHy57d7xImqN25tD1nfGWLZFh/dSWiWHcrFuWISpepvS7izO+I7byxxpXDelsipiMOxTVbmKtiWqiGEFNwqSENHiWBHQ6sfvL/NzS31ve2Oz9uX56Y1wMb+mP3CoW1wJAQvnsPyXGXqHOg55gnSxK2twfSMnueCoR8hpYamZbSPuQPrGtNrlgPB5v54ariw05nQKdboSZjSqjlPVUMsz1UZTrrF62CccGJa3xtPewEH/YDXL8xM79s720N6RUrj4SDktfMzn5sLrueYOLZBXHz+mjUXzzFPxXbPCcNJzPWNPp1+wG5XERIk6v7VdQ3PUcm77904JIwyJJJQ07DthNRzsC2L3cOAUaAIdhrwtx8fKCGYqTM4jJmEyohlHCoi1taBj6FJlVhbEA6PyE5l10ZoyhW3WXHQNG1679QqNo2KS2cYkBbn5aMES9PQVApHpMRMB/1gKkK6tFrn3/9kk7cvzyKkul+OEvfW5qvMND1+enWfP/vJOhv7E0UC0FSvz9A1ltrlqWnKUUKuYagEjo/vdNnr+tzaGpDlOVGSY5o6pqEx8mMqXpUbG33OL9fZ7fqEBUli5CdcLtYj1zYpudZ0nTmeynmKU5ziF8Ne12c4jukMQtI0p1ZxWJ6r0B2GdIcRlqlzd1clAh2JFY+76KdZzl7PVyYOEkxTJ4yzqVBzt+tT8SwGo5i/+WCHSZgymsQcDAJ+480Vbmz06A4jRVhDw9A1ciE5GATc2x6RS0mnHzDb8IjTHD9Ii96iJNNygjgvepKCH320T7Xs4EcpYaJSx+NUCerv7o5IUoGvZTiWQZZJUsNgOI6RBUE2iFSqkWsbzLdLXNvosXsYkGQZQZRjTxI826A/jqfprAttl1rZRQiJY5mszlVoVT3mmh62bVDxLMIko+yZlF2LKMqn4v+lmccngX0arq/3p0ZUg0nMS2dan/mxTnGKB3E093pWPK5X0K65zLXK08/s4x47iFKu3u1OidtDP+ZP/3aDLFezxrcu5ZQ9C4lK5XEtgyRXJnr7vYA7u2PGfkouVA/WtgSGYSrTtSKFPROgSYmhwdBPME0dIcAyRWHYptzEK56F1EBDEoQ5ui4ZB0xdZlt1h1vbIzRNEieCKErZ6fiszFXpDsPp9Vc8CzQNTdfJMslc00XT4L/+0xtMgoTdbsB2Z0KcCDzH5F/95W1GfsJ/9NuXH/kaLc5UWJxRs5NmzWW/G9CqqRR309Cplm2qRY35KCRpPk1eAoiS/ImzmFM8Pfa6E/75f/cRcTGL3u/5/E9+/+VH/uytzT6zDY+PhSSMVTKmZRmEcUa1pDMOUpLs5O9kBa84FwLDUvW8H6m/leSQThJi2yh6BhqNqkOrroi1/YnaO3Vdo11zmW2WGPx8D9CUiz6wsTfm9vaAg15QCCE15huKxLa5PyZKBZqm0R3GapYoYb8X0h3GxX0hqVVsslwRtnujiN4omtbxtmXwzVcWnrqPv9AqK4Fp8cSfx+f0KEEZVN/ztfNtXMekWXWmZxDL1E/7nqf4pcOxNG5tDxgcJXFoqiY+ul+SJOfu7hgpwd8bM98qTfs/Iz9hEmXExfl/OI6Z6g4E+LHgnWsH5ELSHcbsdQO2Du7X6W9fngUJnmsRp7lKFA/Ufl1KdYJEkBWPjZBsHvgg4aAfUi87nFusY5kqse721og7O0WS7eGEb722RL2k+lJnFqqUXQfTVF+fW6o/9Do82Me6sNJQzz8T/PufbBIUdUQQJdzbmyCFRAjVLwmiDF3T2OlM6I/DKS9or6cSq476czsdn//8H702fW1bNYfBOEJISNL4IU5Qs+pMUzxsS+Ov3ttW6cPAfjfgd7+5dmJdq5TsKZcjTfNpSsXIT3jr8uMTt8M44+rd+wm7ZxdrT52CnmaCq3d7ZMVztk2NrYPJtJ46s1h7qsf5rPg0Ud6vGuoVB8u8n7L1IibFNqoOYz8hTnJicuzP0Xjo88Lf/85F/ot/+fGJf3vRBRwAzedghPnLxs7hiCgtEtzCnCBKvuArenZ0+gF/+bNNpKRIkdemPelnwYv37n2F8e61AwBev9B+yEn+FF8uvHV5litrTa5v9PlXf3GL//wfvfZFX9IpviBIKRlOEjSNT20sDCcxQkrqZWfqOn+EOMkZ+zFCQsm9T0Y4v1zHsQ22DiY0qw5RnGEZOuMgJoqVq7XIBBoatmkgpARx9P8FlqmEH4NJrBpzhq6IIH6MHMesLVSYqXsqjjXLGfoR19d7rC3UGE5iZuouQsrCqV9FjusaDCYJSaqEH7WKw9nF4ucbJX780S5pqv62ZRhUyyYH/QhTs5gEKUGYIFENV9XwVOrzKM3QNSWqEFLg2AZzLY8Ly3V+/NEulqkchzV0Prx9wIe3D5HATMMlCDOWZsq8dKZZNFwFizPlpyI1JZlgea7CcByTS8mUIVIgihVhpuxZU3LsbNPDtvSpm7n7KcSHMwtVqiWLNBOEcTY9zIEa6j9JxDHfKuFYKjmlUXEeG5V8is8XnWGIhhrYgWrGH3R9So5KrECCYWrT+OLuIMLQJbpuIMgQQjL0E9I0YzhJcS2dMM6plS1W5yvMt0q8dnGG7iAkTHIuLDemqTHDScw7nxwgi9N0LiRX1/voho5ZOFt4jsXm/oiVuSpCSO5sDzi/XOeg72OZOquzZUxD59JKnU/W+6wtVVmeqxAlGfOtEhI5/ZyGccrbl+cYTCIqnk296qJrGq+ca9MfKdGUXTRRNvdGhHHG2nwV09TpDiIqrkGYaFQ9AwHUyg5JJhDTZolGq+aSFs3VtHDfX2h56Jpq3hq6BkLgRym6pmLVXz0/w2zDZWm28lCkehRlvHtjH8c0+PorC4RxRpjkhGGKbmgMxzFbYTxtkDuWQRilrC1UadddTEPn199YpFwMTt+6NPvYQcYRjuJRQTnujo6GLk+JSaBi1msV59QN7wXHf/r3Xuadq3tIBPuHPpNQCRfzXLI0W0bTwLUNrt3rkz6l0/6jYBo6SSIYjCI+udtlrl1mtSBA5blU6TyPcEdr1z1MQ+1ZtbI9HTJEccbmwRhT17FMXTVjkmz6fSEkw0mMUST27BcERIBxkDAJk6dKtxiMYw76Pgf9kOXZsmqQFuLOb7+2wFzTu7/uPadG0IXlBoeVEClhpu6+kE4np/jVQRClREk+FTy8dLbFcBLTG6lhQbPqsN/zScWDVejjYRhQcg0mQYph6CrePMqQUnBxuU7FsxCyPD2fxElOGGWFK73+SKfFp8HQP+aQItVwYXW+yktnWwRRemKNOcXng8urzakQqP0U4vNT/PIx8hOaFYcgzjB0jU4eUC2pe3FzXznCKad9k7OLZTTdpGwr59U4FcQFia8/Dtnv2piWjmsZrM5VGPkJlZLJ4cghSQWmoSGFpD+KSNKczb0JnmeSZSolM0lyskwgChdrx9YxdF0RHVKBpkmQkOegORpCSgxNI04zytJCApau3O7iJKPsWgwnyvlf1zQurqgE0Xs7I966NMPSbJWP7hzi2iamoTPyVb0cxhlpJqZrUmcQgoQkS3Esh/W9EavzamA4GMeEsUooKrkWrbrDJ/d6LM+V+dqVOf7yXTWU/c23VwmilIN+SLPqnOivWKbB5ZWmcrZruMwec+8TkmlSl0QJKY4GsGkmuLBcYxwkzDRKgEZ/FH3quvm1K3M0Kg5+mHBmqX4iVWx4LHUsSYXqxaB6G8evOYpz4jT/3EQVhqHzyrk23aEy6jh11H2+GE4UMdlzLCxDOTzqGir50TRoVG3GfkacZBimBihxUq2kxDR+EJNkGTqSI3O7oa8+e7alIQDDkGiZJMsEUuRMYkG9ZheCLoGuGSA1FttlFtpl5lsltg4UufnlMw1645gra00un21TL9vc2OgzDpKp2/X5pQZRkrG2WOXd6x32ugHtuktvFFEr2wih6onhJEFKSZTkrMyWAY2FdoksExz0fPqjGF1TIjZd1yh7FtWSw7deXWASZpRLFq5tFq78NiNfEbwMXRlbLLZLOLZJu+6RS0kYpSwVRMTOIJiSp6avewFd13j5XIvDQYhp6LSPOXgPxiH3dscEUcq5pfqU2HiKU3zVEEQZe10fx9bxHOtEr/tJ2O8FhEnGQqvEKFD1/8pcRaVM1V1qFQdkIYB8xONNwhTHMlmZrdAbRVQ8a0qaAtXPmC+SdSSF8YSmcTiIuLc75HAQqnOS0Ch5Jmme45kGWwcZjq0rQblUwjXd0EAD2zYwTB1ThyBSCRsaFIYzOplpIG2BY5uUHV2l3UnJ6nwFyzSVWGXZ5MbWgCBWTud5rhKChFT/KzsmQz8hzwWgoWsgckEQi4IILtCA4Tjh268tM5qodbjZ8EBKXjvfJssl4yChP46Jk4yl2QqvXWhza2uIbRhcWlPktTBWKWUVzzqR6vU4pJk4kSQ+Ktbu097IVxPHexKfZ/LbLwJN03jpTJPDYYREYunqLFEr22S5YOwnWJZK+z3uvP/x7UNA9Uxdy2T3cMLfeWuV/iSiWXOIkxzPtEgygecocZZtqQQKKSXnlmqsLtT44MYheZ5jhCoNxHMsHEvD0HWiNGe24TAYJxgGICCX6j6rV22G4xgNJQAxdPW4hgb9UUyjbBPE6mw28mNGk5AoTplvl1Qa4yjmo9sd6pUSrqUzCVM822DrcEKcZAihespRrAy3jgTf19cVkX67M2F1ocrMY2r7Mws1Kp6aP/WGMQLJpdXGE+ceR8mEYZQpMfE4PhVxPCfc2hpM51NpmvPx3R5Jkk3ngEdI0pytzoTzyw0A/vr9Laol1W+zTanSWQwdjcf3ER3LnIobjiBR90pe9AgqnkW75jLyE+ZbLlEsmGm4fOf1RW5uDZgrOAGg+glRItjp+IokLcHUwbZ16hWb4SRWc8iFKut7IxzbIM0EAz/GDxPSXCV3Nisu7Yaax32y3sUKDHIhkVLyyd0u33xl4alfz0rJ5g++c4aNvRGVkv1Iwvez4vj5QgjJKEhwHZOVuSol1yJJVYLYl3Ut/SIgpWQwidE17dRI63PEOMiolpVBg6arWvdof7Qtg2GQTIUbjqWTZipNajBJWJipUXEtRpMEISWOoxFl91cPIZQhSZLmmLrO7qGPqWkkeY5tmQRxTsU16E9iLq/WWd8dTYV+pqnTciCMcmVqmUlc2yQXAl3TGPkJc02Pg0HIuaUaf/PBNq6j7nvLNNjrjNjvh9PZ/h9+7yz/w082WJqr8NvfWCVKMoIom3Knbmz02OsGvHFphkbFZWt/TCYEJcdgPIlUYp+h0xmGBd8hU2R60+DsYk31YSpqT6946vMaBCn7PX/KzzwchIRhguepPqBlGrx+cYa9QhRZe8AA8uxijWpJ1Su2ZfDR7d70e/u9JzvmW5bB0ky5SExR9crjMPKTaRJHybMYTOInijiOc9gAwiilO4pwLBPb1Fmbr06TOJ71hHCUpuTaxuks6BEoexaXVhvs9dRn5nmZF/4yIYQ6r97aHlD2bFbmq1/0JT0z/st/++FD//ajG+t85/KZL+Bqnh/eudXlf/FFX8QzIozFtG7Vgc2Dyaf8xpcPO4f+iXPodmdyKuL4Vce715Vr79deevHVX7/q0DSN/+T3r/B//Oc/5t/+zV3+g984/9RK11P8auHW1mAa9zTT8Di//OgmwfreaOomWavYXFlrKoepYqCfCcH1jT4amho8nm1RLsjAlqmaMcrtQtKue7iORZhMSJKcPM9B10GCbmg4loFlamSZrpqGxbVpUg2Q+8OQD293MA0D/efwB98+g+eY/M0HO+RC8tOP95lvlVSyhqbhmgaWqdOoulRKFj+/lSJlwjhI8RyTsZ/QqrnUyzb9SYIGJFmOoWlEWc763oQ0k4z8FLOIIjYNHU3TyXOBRBG7TUNHSEmaC3RdDb1VI9JnFCSYuk7mSaTUeO9GhztbQ4IoxdB1Sp6JkJJ/84M7pLmcErK/+crCpwo5SsXhZOgnCCHZ1idcWGlQLdlMgoRr631FPDfU+3J0GKlXns6VEyji4FUjtT+KTog4yk9B+lbOQ6fNjy8SYZxy/Og8iTLCzoQ8B9eCk8dq5bqf5sodQ0cnEzlxnJHmkKQZaapRLWkEkYov/fZrC5Q9+yFBz9Ha4dqKaGVbOlGUoSH56E4XCdimQW/U5/Jqg3s7I9b3RniOyc3NPq2CvG2YBkkm+LN3torhYMRiu8zZxXqR9GNOP6eX15psHkymjletuku9YtOoODQqimhaq1jsHo756dUDqiWLIMn4zquLhHHO0E/RdeX0udQuo0nVeDZNRVRaaJenUZ9plvPxnS5JKuj0FTmkWXXY7fqYpo5jGbh24eLXKvH6xYfdabMs47/4Vx9M3Squ3uvxT3/3CrsdfxoB6lgGZxbqGMZ9B9LV+eoJMch2xyfNBKaus7475qWzzScON8ueNSVRgko6elrsHvpTR+KSaxZpJqeD1BcVnm3wrVcX+PhOl81sQqevGjO6prHX9RkHKYNxQvYLCDhANcbSXBCmGTc2hwRJNhVxaNrj3ezg4T3raH/rDyOCOGN1vkr5GBlASsn1dUXsAlicKdOsutPPvGMblLynI4Hf2xvxxz+8h5Dwnq5cgebbavi3tlDl4uqzH3I/DbquEjhOcYovGr1RxK2tAUiwLZ1Xz7fxHIMf/rzLne0h93bH9Eahqn15fJP+QeQ5ak0pnLWFBDPNikQth9lmif44Uu57uo6ha9zZGRIVTv4r85UpIfJZUPEs9o99fVTH1sr2VyYO+4uGrmunvYcvOcquybAYjIKkUrFxikFgtWzSH6dIqYZnd3f9qYHDcBypVE1dI4wz5VYZqcGf6+jER4RAqQQgnqNqR9s0eP9mB4A4KcgUhg6a2q+HhZBCSkl/HAHqe2hqLQH1/+NYYpqCFJVkEcR58fg68+0yuqZS+uIk5+bGAAA/SHjn2j5Cwr3dEStzZZLCVWmm4dIqxBOObWBZ98/laZZN3WeDKKdxbP2I4mxaJ+dScPMHA5JMoGnw73+0Tr8QUn9ws8PZxRpCKiH98mxlWgu5tiJV6oaunv+xOrvi2VPnPiHEibWrXrWL4bBNnCjzhbB4HZbnKk8kLz2uF1T2lFMhgJCSW1sjJc4vSO5HsEz9qUiZvwgsU39IDH+K54NKyYZugGPraLpGLoRyuxWSjb0R/VFMmKizv8wL8qCu0R2F9CYJUZKRpJJMfTTIizN0f6wEEWGUEESKbKVpksEkpeSaTCYxeS7JcpBCKGF2mqPrGre2Bmzuj/HDlCyXzM+UKLkWL59v06g6U7EVqPviqO/kRynrO0P644iDfoiha6S5wLEMdEOlBG/uTxgHCZ2hwdJMhZlGCcvUGU4SojQjTJSRhalrWKaOa+vc3R0w8nPW90aszFWYb5b5g++cKdynVZqPa5vMNDxadZdXzrXJc8H19f70dW5UXOIknyZuPthPM42HP+MbeyP++Ef3uHq3i8hhoe3xD757nrevnM5fTvHVQhBl/PEP7zD0E7rDiMtrTZZnK7xyrvXEXsJwErPTmXBvd8h2Z6LSeycxB5ZByTFJ0pxmTbnGlx4jRDx6/M4gnIrBvGOCx/uCL4uZxsn068E4ZuQrExTLUKm7YZIhcjAtSBJlBDWaJKR5TpZALnJKtoVA0qy5SBmTC4EQyjF/MIlxLANN14t+TUySqXWuN4pZnivj2hZDP6NZLbF/GJBoOWmmxK9+lBLEKR/dSbFtkyjNVOpHIfI4IiccDfilEBz0AjQN4ixnOFZmW1fv9nnlfIuRn3Bzc8DYT9ju+Lx0tsXrF2ZOvAc3NvrIosZ75VzrUw2lTEM7kcBVcs1TAcdXFN1hyO3t4bGexMyXlnxsGDpzTY9P7vWmDtbzLY+hnyihFTDT9DjOXD+zWGPnMCAXql96plZht+dTclW9n6aq9tjrqsGkrisS0ZGo6cx8nblWmd1WQBClZEKJbC2rmMlOVHpFf5SAJpT4HXV/50LQG8ZIKUkFaEVLJ8vFlFgfRCG1kkmQCHJfOXcEiVSEVUslfNza7GEaBo5t4Dome70AzzKIkhyQ6IZGo+YwCbPp/KBaMvl//vFV8lxiGhr/9HcvT0XxD+JoLvm0IlbL0tncH0/rra+ae/bniaP51NhPmIQphqnxxz9e5+//+rmpsVFUOK33hsqoYW2hRqXkMg5i9vqhOkvYBlmWPfbvCKH2feMR674fp4SHGd1RRHcYMd90uLY+JBeSLFM9+53DgDDOiOKcsmdOzaM6g4j+OFJpfpq6ZzXU/LtSUmdp2zSYb5XJckFvHJFmEtc21PPVdepVh9cvzmLoGkGccdBTBhGg5nXPinpFPd7zQqVk3zdv007O/FovIAn3l4Gbm/dTUWeb3nMR05ziYVQ8m1rJmhoCNisOH9/pTmu9SiFyOOox5kKla0gJWwdjlWhZzAXC+ORj67oyFhFSkomcsmux1wtAKgH0YW/CtZG6L3Y7Abomp4nDtg61skvJVV8bumS3G6Lrqr9VK9v84Oc7UPQNteJvAcR6zn/7l3emM8effLLHwSDEDzLu7IzR0ViYqSCERNc19rs+f/X+NlLCX7yzya+/uch+V/1utWLx8d3eNCGkVraI4hwplZlru+ax0L6/Dy4e6xu4rkmj6kyTtGpleyrgUM9Jo1ekWY2C5CHxnKZpzBRGS1khGj3qJX4aeb/sWdN99knnKVBpyD+7dkCS5mhAvfxkTsLt7SG9Ij295Ji8d6MzFXm/dLbJYruCU3xenoXfkOWCj293Va9TgwvL9VOjmAcQxRm3t4fkuWTsJ7i2+cLNzgxD55N7ffxI8RvmW6UTZ9QXAf/ZP3ydf/Hnd07824su4AB4afXFq0eaVYfDQTgVjF1YefFqhZkHDPVm6p/tfTgVcbwgiOKMj++o4ezXTocILwS+/tIcr1+Y4cPbh/xX/+4T/nf/6de/6Es6xS8ZWS6mAg5Qyuyzi7VHEnE7feW0K6Wg089Zma1wYbnOzqFfxHuL6SFXCMnhMJwOI48T/jU05mc8VmZL+GHKYKwc601DU0kNNY/zSzW6w4iRn7DQKtNquJxbrCGk5HAQ8f2fjZF5rg5YGtzdHlL2bOV2JSR5rpy3zy03mGupzejsUp25Zhnb0oiTHAPwXIN6WcWtVksWZdcmF2NeO99mtzvBtQ1+frOn3D2PXjMB1ZJFu+ZMo8yrFZu5hkezZvPutY5qLul6kcihXmdbB4HENnUurtTJUsFM3WNk6qS55MJyHSEknUFIveKQ5YLN/TEvn21TLdskaa4GzrqGEJK4cAA3DR3XMZlrlor4d4NWTRUR1ZLN4TCaxhLmuaQ3ij6TovzoPXZtg2bN5cJKXbmoevZDG/4pvpx4lCJYO/bfkg2OY1MrW8w3K7TrLq9fmMEPE8quqdzXNA3b0jEMA9vQ1dABSbtqczgIMQxFssxzOR3Gdfoh4yBhbb5KGGf0RxFISbtRKhxq5f+fvf+KlTRN8zux3+dNeHO8S59ZWb6q3XT3TI/lkDMcDjGkdrnUcleUdgFerQAJupC0AiSsAF2toAtBICCJgnaxWpDa5aw4GA6Hw+6Z6enprnblq9JnHm/Cm89bXbxxIvNkVmZlua7MqvgDjeo850Sc70TE977v8zx/g6ZImLpKGGcc9Saip0mkuSpLLDcLrMwV2ToYMnJDpIkjysiNMDSZ0yuVE857S80i335xmd0jh0rJ4OJ6jSzP+cbzixx2PF66MEfJ1vnez3ewTZUoyfD8hK3DMfMNm73WgCyTWVgwWWoW+eWXlnjt/SMGg4Dz6zXhcmdpXNqoc9TzCCIx7JyrWYRRymKzwIX1GmGcsr5QFoPWHBYb9nR9PSZCGZrCXtudCjgArmz2iJOUuarJwJFRFAlTU1lbKPEPfusCP33viErJ4Pe+debE+9nu+4RRPE1K8MPkkff7Qt1GQgxvP4qoC6DVv3u9XpDgBvHHdkWf4cnAYBwK9+bVCrIkkec5i80C8ZYgKNim8tgO+/fieC5ZNGQ2Fsu0hz7Vok7R0kjTnNWFImGU0qhYj3RuTtNsSkqQZYn2wCfLchYbBXqjAF2TubRRmxK5/DCZCjiyLOP23pBvPr/Ilc0+aZZzaaNGmmakk4HNo3BzZ4CuTVy1spzrO8OpiKPd92dkwhm+0Gj1vSm5IIqziXu1cJI2dRXTEGJFo2oLd+no8YQcMqApMsWyghtmKJIYdmqqGDqoikyjbKFpEpoiHJ2Oo8oB2j3/Y4k4GhWLPBdpPOWC/sgB5vH593jdmWGGLwsqRYNTSyUOex6LdZsLp+rc3O4jyzIvnm/yo3cOGHsxBUvFn6R1CGfohKVmAdeLKJeFy2YYJxiajOMmlAoafpAwX7F45XyTq1sD5qo2pibRHoQkWUbR0ijYKtsHLtWyzrOnanRGMUEYUyubdIcBQyekYGlEYUzfEWmgJVvDVGS8KMXQIEwkNEXct4osc2a5jOPFNKvWdMAH8MaNNlEs7nWfnOtBzOpcCUmWGI4jnjvbZOzFLNZtdE2h1ffQVJla2aA7DEnSjJKt0XfCqTueoatUSgZxnLLfdvCCGFkWbrlXNvssNsW5Ya/tUrREPyLPxXllsWFPewhLzQKuL1JNptEGCFJBmmX0xyHNisWlU3XevNFGU2RqxTne3ezheTGlokac3l2TWz3vkSKOOMkmCSuirgoi0XM4vVLBNIQLqSxJd5PNckEQKVoaaZazWLdn6XxPMapFg8VmgfOrNboDn4OOgxOk6IpIvBu6IUVbx1AkxkGKrsmszxUZuiF+nJKmGQVLI4hEn6xZtSgVdKRcIkoSFMXEDVw0TUaVQJYkvv3iMm9ea4EMYZSTJhnNhsXyXIGFusXtvSGqKhJ2kjQjTYWQ6+bOgFNLFS6dqnHU81AVmWbVot33UGWZ3jhAkiQMTaZSMNBVWJ4rs9Qs8LXLC/TGIXGSszov6pCSrVEvm3SH4lx/frXGnYMhIAZa8/UCp5bKeEFCf+SQ58LcpFYy2T4c8fy5Oc6vVWlWAly/QNEW5hbHKZfn1qoMnRBVFgk2F9artPoBsvTBZMQgTFAUCVmWieKU7cMxh113SkQcOBE3d/ozEccMXzrstsb4YYoXCJHVQcdhqVGgO3x0r7sz8KmXTfbbLvM1e9pnrxT06RmmUjJYmSs+VFhgaArrS2V2Ww7lgsJ8zUKRZBbnbcI4pVm1po/9+792nr9+e584SbENjcokvXbkhkRJSp7nRHFKluYULIuVORNDUzgsOfhhxtD1kSV1YnRhcnGjRrWk8Zev7wMiyW44DlmsFxg4IUddlygT6WRZJtJJLV1jdaFIp+9TKmh8++UV3r3VYzgO8KOUJE2RJZGSVLQ0JCTcICRJQVUEAStKmKYSNau2IGfrKmMvxvWTSQJbyk5rzGHXYzhxsB44Ib1hQLqUTXstnYE/FYQkqTjDLD2i/+N4kejbnKpz2HFBguXmrO/yZcVxAh7cTYX7LIl29/cfPyr8MJkKOAC2DsdTQiqAHyScX6syGIeYunDGti2dd2+0KRU0Xjw/L2Z4lsbFjTqvvbPHcrMwnb0u1k1a/Yg4SalXTAxTpVoy+Yd/4xLff2OXZDljoWEhIXFls4si52QZOEGEoqiQQxiLZA1NU8iyjDDKkLMcSRIC+Pv7OkmaYZsKIzdDVWR0RSZLMyKEk3oYQZgIUyxFyUiSDDfN+ObzS2wejmlWDdYWS+wejOkOfZbny9RKgrybZUKs//at7kNFHHGSkqb5dDb6YSKwOM5YqBcmyQrKEyv6eRpxPJ/6b//0KuWCzoW1KmM3otV1pw7XvXFAkmaszBXZ7zj0nZCipeL4EQrgpxllTSPVdJI0IoxT0vtaiboKlaJwdPeC9GQyeC4+M3GcABLbRw5RKtJjcklm6AQTc4EcJDGTNwvKJAk0QpFA0hXyLKdo61RKBhsLZdYXSkiSSHL57W9ssNtyGDghZVtj6EaM3QCQWF+scHGjhjIxljN1hbETcXatyq9/Zf0X9E48HMvNAsrEWKNeNh9pwpgkGWNPCFNN/ctJyYuTdLq+gthzZiKOzwa6rvAPfvsSf/6zHVRF5tWLCxzek/IwV7P5+uVF3r3d5plTTXaORpiTtA5NkUUyhiISQTUJFFUk0UkSzFdNvv7cArd3R1RLOrqmEEUJThBTKegMvVgkAefCVGquamLqCXkO59crfOvFFb7/xj7lgs4f/PoF/vUPb/Hm1TYbSyXOrNTYOhiINA9LZ7FeRJYE12h1rsBPr7SmDidv3+himwrCuzbntfcP+Vu/dFoYRKgyP71yND0Tu0HCT947YmNR7H27hw6mppIY+cTwVuX8eoXDtk+xoPCN5xZYWyxz1PPZWCxzZqXCQdclilPmajZnlsv86x/dIc/gd791GhB9C0NXSbOc+ZrFyIkoWBqPOt6oqsxvfm2D9253UWSJ58/NkWXZVMR+/1qxNl8SZhyTGe+j9ujeMKBoawShNDXReBjSNJsKOEAYhpq6ApMU1Dy/22spWNpHMsQbOuGUo0EOrZ4/E3Hch94omBqK5rkQVT9tIo7+KBApdmmGqsonUh6fFnxRkzg2j56+9+J3v32G/+qP38X1E+bqFl+59PjJa08KVuaKfOvFZfZaDrWyybNnGh/reb6cJ8anEO/c6pCkGfN1exZL+ZRAkiT+8e9d5n/xf/k+f/H6Lr//K2c5u1r9vC9rhl8gZElCVWSSSYdE1+SHNibdIGbncERnGKCrCroqc2GjNnWWaPW8E4XuvYRqQ1PuHowkmK/ZnFmpIUkyhz2PIIhxAxG5Wi+ZrC2UubheZ+twTMFSCaKUdj/g1FIJ108I44xxkCFJgkSQ5TmaKk8JCpLMxP1KR1VkvCDi3VtdFLkPEwerpbkii80iYz+i3ffpDgNUWcSXx2lKECYUbY0ky8jSu9Y4kgRplpPmOYosYRkqlzcaBFHMOzf6uEEKGVTKBpahMnRDeqOAOBUuVoaesFCz6I4jZFliqSmGxhIS260xYy8mB8q2eHye57x9oy0IZLrCxY0at3aHuH6MokgiEcXWqVfMEyTS49f//kh5Q/vo2+rYi7g2SfMo2qJ53KhYs4LmKUPBkOnc/8VJs8CPRVT2yxdrXDrV4M7BiOIkpWFjqUJvFEAOjbLBD987RMlzHD/GCWO8IOanVzJeOOcAOStzJeplk3rZ5NxaletbPd662RH3Zw4vXZij1ffx/IQsF05Lqwslejc7HPZcukOf3iggzwWp/NRSmSjNuLU7wA8SOqOAZtlk5IQMnAj9VpejvsdvfnUdWb7bkD+1VOHUUoXDriucfXNYaNh8+6WV6c8sNwtc2+qRZTl+mGAaMq2eT2+cIsspYStjvmFTrxQ4t1IjW8op2ToXN2oMnZB3b3cY+zHXNnsUJ4SVWtmgaOvoqvJQN9udozEHHdGcWp0vUikZqIo0TTkoWBqaJpyrFiYNkWOHvxfPz/Pi+Q8maxx2Hd653YWJYORxSB0f1wn7Xjc8SeIzd92d4bOHcQ9hT/huw62dPj9+95AgTknix3fYvx+KDIapcWG9Rnw7wzRUbEOlZOuPRcL2gpirm32SNMMyVZ45VZ82C2VZmiaJ3Uvc0FQxbA2CmNevt0jSnKO+x299dZ1SQefKZg8/SFAVmUunao8kfVRLhogiTlK8OCWIEg57Lov1wvR1m2GGLypMXWXE3Ya6oSukac5gHOIFCfnkHN4dhlNy4eMgzqE3jlAVMHQZVdNwgwTTUChOnKIOOi4DNxQR4gPRKD4edHySe69ZtT5UhOz4Mde2eqRpLoSbp+ozcvIMXxp4YcLbtzqEUUa77zFft6aEmrEXcn6SQBUlCW9db0+j7TVNJFMahkaawNXNLn4kBqrVogEdUbsf9T3CWDjRH/ZcmhVB9gaRHuj1Mwq2TpZJdEfR5GwiMXJFumW1JNLCvCCZJnF4foxW0NE1VZCHpBRJErWBpIjzdcHSpwYSx5AkuL0vXDtVRWKpaXPU90CCpbrNUc8TaUETIuHxMN82J/U6wvHPDRLeudlBliUcL2LohBwfqMT1C5c5w7hbr+gTB/BjlIsG65PhrR/Gk5pbfK9o3z2nBGHCQUck8EWxcBi0DZEEEKYZpybPkaTZ3aEkj143B+OQm7sDsiynVNDJM1HvybLEhfUaq5PktKET3hVxIFyxP47b6AxPFtI04+2bHd691eHW3lC4SDeKZB0HWZYndbtMluYTwVGOF8Rc2e6TZ3dTPWVJ9KA0TcHQFM6v1UiznK2DEX6QIkkSEhJJlqPJOde2B2i6SllR8GXRMyyaGs2qTblgkJMTRhNH+Dxn5IRkmRA4hXGKbWqcXq4wGAf899+7zubBmDBKMHSFw44j+nOSRKUg0msqRYMwzji9VJkOo0GYG4BI0rBNDdNQWW4WkSQ4v1ZF2NGIz7+mKUA8+e9dZ+dayXwglfQY9bJJGCX8xeu7pGlOvWLym1/bmLoV34s7+0NhopOmxHGGbWpCPKYIIRg5aIpE0Z4l3c7w5UNpshce7+PHPYH7e9/3w9CVSXKviaErLDULHHQc3r7RIctzLEPlWy8uf6gxSZqm+KFII0OC86s1lj9gDtqoWlw+0+Bn7x9y5VD0HOeqNpqmTGYF4pyQ56BqMt98fonf/Po6r19rcX2rz1++sTsxsAFpGBKngmwdRilZlnNnTyRiuX4szgJJSpLmpBmkUo4kp9iWqK32Oi6WrpKRsdSwMTSFo55LEIp0LUWS0RQFRU6RZQVFSpBlGUMTC065qAMSCw2RbIoEvh/jBAn7HRdDU7i5o4qEpVFEtWximQqqenLGdD+Z61FnkndudXhr0sc9t1blG88tPfJ9meGLjwfnW59dH84PE65s9kiSDNNQeOZU4yMLAI77kcfGakVLE2Z0x70MTZmKPd+/02PnyGG+avEHv3ae9sAniBL641CYyaQZa/NlDnseQzfiqCtETc2qia6JxPCbu32Oeh6XT9VZXShx2HU5aLv89Gob348IkgxVhiyXsQwZSZapFlTGfkIYilkrCM24Kk3+K4skhGMHMF1VyJFQFImcHE0TKYWuF9IdCHGsBNMUVceLxBkS+M2vrFGwdUZuiFdNubDRoGTrHHQFQT7LRN+4/JC05O7Q5/becNqDWmoWPtQp39CVaXIh8EjToBk+Ol48P0+77981JZNO1qvH9+ju0ZjrOwP6I5/O0CdJ82nKS5TCfM2kaOlEUcpB1yG5W7qSZHDU80XaoyqjahCGKVl+198gS+Cg46AqEnGUgK6iyuIe7A58HD8il4RZwdpCaZqOqU3S/BRZol62OL9Wp2BrjL2IVs+bpmquLZT4+rOLVIoGQZTwp69tcdhx2TrcY+SEVEqGIBGv1lhqFp6YuliSpMcynIqihH/7k20G4xBVlfm1V9emddGXCYosTPSO68PPco+ZQfTujkULaX5yjtDuu/zzf3cdP0p593aPy6dr4vybA4h+wvECkEuQJOk0BSdJwTI0zq1VkWWJztDDDVOyXJhQlCxhIkUOEhnlkga5qKklWeawJwxWJQm2D4foisozpxvousJBZ8wP3zkkzXIsXeVXv7JKtShqf0VWyPIcPxAJGLom0xkERIk4ty/Uc37y7gHVkughFi0NL7ibQtS4x1yqYKvQFb0XSQLDULB0FXNFQ5YkFFUmSgRHwQtj0iw/wcn85399m7dvdAEhxJir2hx2XSQJLm7U6I0CojgjnIjKH4VK0eCbLyyL1zbJ+NPXtukOfRRF4ldeXj3xe2VZemyjrZKtY+kq1qSOe1RSlixLqKpMkojPSbmg03fCaQ1YtPQpF+WjwtAfvzb5suL+1+RpXBsLpoobJIRxSpikT6VJ2688V+ZffO/k1552AQfAc2dqn/clfGT4YULBMjANwQH7EG/QJxanlyufWKw6q6yeErx+tQXAqxfnZ7G2TxHOr9X4lZdX+P4be/yzP3qP/+M/+ebs/fsSQZYlLmzU2D0agwTrj2gy6KosCNK5OKilaS5UepMh5VzNIoxTRq5wtb232N9YKoMEUZyyULexTY2vXV4gy0WxMfRCDtouiiKjawqb+yNevjjPYsPm9t6QZtVivm6x33XZ2h9hGyqaIpFmIsZU01ReubTA2I/pDvyJu948QzfGD1N6QxF17oUBxQlxQ9cU5momb1zzsAwhFNltORQslcEgQlMlRm5MpaiTZhmunyBLTBI/QJMVSiWVOM047LqUiwZplqOpEhKiAfTVZxa4vtPjqOMiS0IZnuXidb98us5R16NWNvCDhIETsVCxKJgqiiSz1CzwzReWp3HrAGGUcnNnMC3w0jRnv+NyYV2nUbEIIuEYUbS1aZNmsWETJyljT/wtc7WPLrzYbzvTprPjifSUmYDj6cP6Uo2to7upODKikCfJkGUJSZYY+yGlgs7GYpkwTigXdQxV4fxqlbEXIUkStaJBnuf4oY8yIWD4QcLIFU33KB5SL5v0RgGuH7PXdtFUGX9SKPlhQrNq4fgx8xWLtfkitqlN14wcyDMRfTlfs6kUDaI4BU2maOucXioTJxntvs/KnHhMq+ez377r9nMvdlvOdEhy1PVYahSmgoPzaxVubPcZjENW50ucXq5xdbMvosBzkfRz5XZHpOpM7oGxFzFwQvbbwoEzS4WYTJYl4iSb0DuEy9xiw36AGJ6m2VTAAbDbdvjKpQX+3q+e43uv76KrMn/3O2cxNIVzq1UOuuL1O25sPQoDN8LUhPgrTjJcP6L6ECLJJ8WZ5QpbhyPiJGOpUXgqC/gZTqJSNFhfLPHWjTYFS2PohrQGATmTz7ki1ovHhaZCmoCsSiiSRJbmzNdtqkWdq1t96hWT3/vlMx/+RMBh15sKTv0gmd5fUZLiTPa3+wnZmipzfq3K99/YJc8l6mWDKEp5706XC2u1aWM1STP2Oy7nHiFk/v1vn8XzY65t9VlbKPHi+TkG45CCrXF6+cPvzRlmeJqxNl+c7PuJIFrbIn3r9HKFnaMx1aLBrb0BaZp+rLQekEgSKNuqcLAzVNYXikRJxsgTAg4Qgo4zK5Wp0/3j7IufBPttZzrAc/2Y3jD4WOfoGWZ4GnFzdzAxfJAAiXdv9/jqM8JdqGjpnF3V6A0DqqUyIydmt+UgyxKGoWDrorZO0oQkzYSbPBKDccBioygMEdKMvZZDtWSSpjlekPDMqTp+lJCmOgcdD00VNcpu22WlWSTLc2RJolRW8cOUgqWTTr52DENTyJHRNYm1uQIDVwjQLq7XqBRNwijFNlU2lsrkuRBwzFUtCpZGGKVYhkKjbGFoKqoqYxnaiXWgPwqm541vvbjEYBwSRAmrc0V0VZyFs0yI3I4Tx4qLJZIs46DrUbI0vv78PO/fHhIlKd95ZRVdldnvuNSKBi/dI9R+5lQDx4tp9TyaVeuEM9JRz5v2CBwvZr/t0qiYkAvX2fm6jRfE1EomlqGy33FQFVn0ZR6CvXtq/oO2gyRJFCyNLMvZbzuUC3Xg7nmxNwqwDHUq7pjh6UZ3FLDfcelPHKEloFJQaJRNOqMAiZxzKxXe3+zTGwbIMpBJxFk+3fuPrU8koF4ykRUZS1N56dI82eQ+n6uYjPyYLM2plnSCMKFaMqgUdXYOHeYbtrgnTZUsg199ZZXXr7XoDoT4Q1Fk6mWToqnT6nlTotSVOz26wxA3iInjlN4oQFEUJDlDQhC/x15ErSTSPBfq9onP8crkc1y0NFbni+y1HAqmhq7J+GHCxlKF6qTnp6oy9XLAfM1ifbH02IOvd251putJbxiwfTjk3OrJoWUQJtMk48EoZORFnF2pMl8TSUC2peEHMc+crvPLLy1/ovd8hhmeRiw1i7xyaZ47+0MW6hmnlis0K+aHntGXm8VJYrAwmRKCroTuUBjIFEyN2/sjXrn46P7ZUc9nqVmkPwrI0pzluQ8mSMZJxrWtPkkq5h7bhyNqJYP1pRJbByNh6BRnQM5iw6ZY0MSs5JkF7uyPpoY3xz1G14uJU+F+n2Y5SZKiaYLEJUkSlq6SpjF5nqNrMgVTI80ykliiVjKI4oyxm7BQs4mSjCgyCYyEMMlolk3OrVZ4f7NHLoGuyCR5zuqcjSIrjP2YxUaBP/jVs/TGIckkid30E476Hn4YUy7oqIrEQkNFluHSRp1zq9UTM8alRoEkyXD8mFrJeCTZ6t1bnWkf9+bOgOfONB5J8Jrhi4/1hRJ5LlL/mhXrM/08HHbdKVkwCFM6k1njR8FxP3K/7aIoEuuLJXGu73vomjLtZbQH/tQgKU4EsX2hYXNts0+tZAqSZpBw4VQNRZXZPBiy2CygqzKOlxCnKStzBbwwJYxS2oOAJMvoDnw6Aw/Pj0W6QQ5xAqYu7smyrZFlYBo5fpAhy5ClYlYkyUKkvb5Q4ubukDhNWZ4rstwocGtviKEqZOQszxe4fKrBd3+6TZJJZHmMIsnMVUwURWauZtOoiAQAP0pAErNWP0joSeL8VbI11hdK9IYhjarJqYf0V3dbYgbTGfikWU4tMmj3xfvysOQA29Q4s1KZvuanHlEHzfDx8M0Xlvjxu0f4UcKljfqJGVSjItLqfzhJpVIUGU1VUOQMVZEoFw1MTWV9ocw3nlvkuz/bYeiG0wQbSZbIM2EYYxoqiiSMVqYFxwQ5QpBYL1skWYYXpqwvlLiwWuG7P9tFnzi2O35Mo2RSMDWKloYbxEgIE4WFms0L55qcWipzY2fA2Iun83fHF7V2pWhwa3fI2I0YuRFZnnPnYIjd1zi1VEFTZQ46LkvNwjQh/GnAnf3x1JgzSTLeudlh4Wuff5LILxqyLMwyd1sO0iQleobPBnGS3RV/Idb147Xa0BT+++/t4E/2xSBK2Ws7LNSL+EHC6mKRKErZPhqR5VAtavhhij9J4pAUiXJBx5FiNFVm50iYO8RxhqGpbCyVaPdDwijh/HqNU0tl9toOIPoXBx0XWRLpDn/x892puDuKUq5u9tBUGXkirO6PQhbqNmmWUSkYvHxxjiu3e0iyxNp8ievbfTpDkSJmGSqGrhLFGfN1g7/5zQY/eGOfkRfx/LkG33h2mZ9eOSRN4eKpGkVL59rWAFWRuHy6gR8ldPo+tqGiyspDzyhBkPDzK63pa/vjdw944ewcuq6Q53Bls0ezIngZlqHyUYY4Oy2RogWCl/TOzc7HNvQWs9UmOy2HckHnlUsLD/1ZSRL35k5LCOvWFxoszRW4vj3A0lW+/tzDH/thKFoap5bLdAa+SFxcnN339+N4L+/fxzt7mqCqChtLZfZaDoamPJXJjncecOeFt7ePeGH943/+nwS8f7v/eV/CR8bICbEMlSgRKebd0cOThL7omIk4ngLkec5PrhwBzKK8n0L8R79zmdfeOeDtmx2+97MdfuOrX74i7cuM4sRZ9sNg6ior88XpYF+SONGQkCTpocWtpsoPkCN1XeVXXl4F4M7+gD/6qzv4UUKcpFNnFD9M8aOEt292eP1ai7Er0iuSNKNUMCZiDJlW3+PnV1uszhf5lZdX+PqzSxx2Xd660ea92x2Oui5BJJpFIyfE8SJMQ0WV64Rxyub+CC+IkSSJONVJUhHPGkUZSMJRr2RlFCydnBw3SCgXNeIkF842HYdKyUCWZWxTp2BqLNQtqmWDtYUKVzb7BJO0DU1VWGoW+ZVX1gAhbHnzRpu9ziEHPQ/TUPjmS8tIksS//fEWIy9iuVFgoS4Olroq493zOh47AkdJxnu3O7T6PtWiwVzVxjZVJEmaunl+XCiy/Mh/f1Tc3hvSGYrC6OJ67UPjj2f4dGCoEroqiYhqchoVC8tQOOiIT1Sa5Rz1Av7i9R28IEGWJWRJ4tJ6FV1TaQ188kkCTbNqE8QpeZZTtnWCMEWRZaI4pjtMuL7dI80hSlKGbkgUp6S5cO1UZBGTuVi3WZwUTH4k7r/FZgFJkgjCRDRc/JgoTvDDlLEXARL9YYBtagyciIOucAatlQw0TWHkRtzcHRBFKXudMX6YcmdvwNhNRHLNRpVXLt09p2iqyteevevotr5Y4rX3TI56PlKek2c5Rz2Xmzt9SpN0nKtbPd651SGKUs6vVZEVQXBaWyihqWI4A4AEygc0bSVJQpKYOonLk3+/enmRVy+fjN6rlU1qH8FFwtRVQeCa/P7PsmmsT5xVZ/hiYbFRoDcMeOdWhxvbffY7wilbVRXIc2RJOOw+Ssshy2KmEh8byqQ5iiqiqbcORmwsltlYKrOxVCGMUv7lX9zEC2JOLZZPJOXci/vd7xVZRpKkEyTun1055NpWH11T+PaLyyw1i1SKBmdXqydieXVNuXufPuT574dpqvzj33uOt663p47WpUlkvKZ+dAFTnufc2h3SGwdYusqFjdqXWgjVHwXc3h+S52Id/ijRxzN89lAUmdPLFdp9n63DEdtHY+oVk2pJZ/sQWgMPx4tIJ4lbHwUywuFRVWUMXUQab+4PKFoaZ1cqlGwDL7ib5jdX/WwJG/fi/nVBVR69TjwKe21nKop2/JhWz6doq3z18uJT2QCf4YsPU1OmQuQ8z0nTnBs7AwAWGxaLDSG0Omg7tPoe2YRgkcYpm12XKM7QNFkIDWSJDEEyjJKMNBMC6LEbMXAjVFkMJn/tK6I+fudmi798fRc3TNAmdcNhzyXLRCrOXN1CU1UMTUFVFI634ShOhenExOm/Wbf4nW+fBaDVc9k6HOH6MeWicOQ/7LnTazoePqZZztiNOQw8FEVmbb7IQdcliBLqZZOzK3fPHZWCwe9+6zQgEsO4Z4kwDXVKTnS8iFcvLUxd3hoVk9/62kkR60sXxH9P7IcLJb56T23QGfhsHoyAk+5nkgTyPUcISRKi82PBW5pmkxRPmTBKH3reuPdsJMkS17f7DJ0QQ1P41n3ns8VGYbZ2fUrYORpz2HVRFUH2+7xIqgddl+2jEb2Rj6YqFG2Noq1zbrVKvWryZ69tcftgTJbl1Ms6vXGE58fca94oTEtycnLGfkQ8zvhhsEeUipTb+ZqF40UkcUacZbQHIg03TFIun2mgqwpxmtEbBTieICPHaUa9bLJYL0xMCmJhRCHf95mVREpGbxjg+hE5ErWiTn3SJ2hWbYqWNiUUK4rMYtl84HO833Y46DhYpsKZ1TK2MRGsFYVD58ZSmVcuzn9gnX8/js9NAGdWKmjKyXtPlWVu7g6EkERXOb8uHEOPyWnH/RgQ9curlxb4299+PAH8DDN8kXH5dIPLpxsf/oP3QJYlamVTpHArMtWSwXxg0xuGOH5EZ+Rze2/AmeUK1dLDU24UWaJoCQIokrjP/+RHm6Rpxgvn57i0UeP69oCxF9EZeAydiLEXMZrsy/1RQKsvaicZSDNo9wP2WoJAdtjzsE3hHC9LEp4fkeXCxCqMUoI8mfYQZST8KCFHCNXmajZBlKDI8rRuadZMHD9i5IaMXUFEbQ28CYnM4vxqjYWGzVHXmxDcFKolAymX+PVX1ykXdfbaLoYunPu/8dwySZrx1o027b7PXschjES/dqlZYLlZZG2hdILwfmdvwL/+4SZemHDpVI3f/vopWj2Pf/Fn14nTlOfONnnx/NyJ11lVZNJJ1JofJrx9q42uqpxZqXwsp90Znn4oivzQtOtP/Xc90H/8eH2AStGgUry7npi6+oD5jITEXsvBDWJMXWWuZrGxWCYIE96+0eGo5woRx3qVs6tVXD+eEq4BXD9i6MakXkymKnhRzHAcMnIjJEkmzXOyTDRwZUkk/5QsnVNLFdwg5qDj4ksJEjKynJFkItlg4ESk6YDlZpHLp2vEqTizlmwdXVcYjEI8L+En7+4z9mJ0VcbQVXRV4fLpOpqmTmcGR32PnZaDJstYpszbNzsEUUKjYvLLLy3zlWfu1jtZLoihfpRQL5mcXa0gSdL0PZBlsR7Kkjgvfdh706xaNComt/eG/PT9I65u9pBkMev9ja+szcRhnxC2qU9reIAsy/jL1/fY6ziUbPG95WaRJMvwwwRDU6mVdWGfPznyappMdxgQxSll20CWZJI0QyIXTvEZhGFCkmfEcc59pv2osoShKQzdEJColgwun66z3ChSr3RI0pwoTlFkibmahaGLJM299pj+KESWJPwoZeSG/Ku/usWb19sTZ/sCqizz0/cPMXUVxxdicGCajKdrKmGUcntvgCzLLNTthxqkDp2Qv/j5LmM/YmWuyHdeXhG9i88ZmiauIYxSeuOAOMmmYpQvG4q2/lg8mRk+GWSJ6Wy8O/QZOhHKpBdSsnVsS/QhkyQjSjKG45hXLhY5tVRGkiSub/WnPB3DUAkiYRxznAQVhMJEMs2UKY9FVsRNKyNhGiK5V0LMIsqTdEtdVzjq+7hBjCyJ8/7tvSFOEGPqCrIsoygykiwhy5CkqUj0TUU/8exKlYvroj456Djsd1yQRIqepim0eh4ZIuH38uk6/+TvvTh9TTYPhvRG4TR5dH2xzPokCTmKE462XMZ+RJJmRFnG9uGIIBKJvM2qyZvXW0RJRrOsn0iUURWZ9ze7dEcBiizx3Nk6np8wdEIKlsb5+zhbx9yK47/p3rRB7b7+xyflHTx/bo7nz819+A8iUpUvbdy9N8+t1h4ww/i4mK/Zsznkh2D5vs/C0wZFltg5HLHTctA1mTOrT5+otz73YP278AUI5q1Vnr4/wjRO1nNfZk7H53+KneFDcXtvSKsnHA1evvh4m+4MTw4W6jb/wW9fAuD/+a/eZeiEH/KIGb6MOLtapVowWGjYLM8VKBb0Rzo5fhRUiybVkoEiy5i6xrOn68RJiuNH6Kogf7R6HnmeUzBVTEOhUtAxdYV62WRjoYjjRWRZjoREFKdsH44ZuxFhnJIjIUnHEcYyQSSYpSM3ZK81ZtpbyTO0SdNRRImLBquhqawtlFBUoZr/+uUFykWDo54HkigigjBBVyUqBZ162eDUUoWipVO0NJabBXRVQVUEIf5YwAFiGKspMl6QYE1+1+bBiJ3WmDQV0YzbR2MURaJeNjm3VmOhbqPcQxwHuLbVo9UTyv7BOOTtm+1P5b0BWFssUbA0FEVioWE/cqD1YeiPAzoDcZ1hlLI9iaad4bPHxdN1EX2di/ukUTGpFnXhWJNl5HmObSgMxiGtno8iSZCLgeJOa4ypyVQKBuWCSMY4v1rl/FqNStHghXMN5us2BUtnfbFIGKX4E1LHQt0my3LKtsbaYhHbUKkUDJYaRTw/IYhSZEmmZOu4XoSuScxVLREPKgsSliSJSFPPj2kPfTJy0jTF8RKkiVgiz3M2D4YkiXDVv7kj/v9B12Psh+Tk7Bw5eP7dqNLlZoFKUZ/eX/M1m199eYWCpSJN7u3zazVqJYuhGzJwQsZuhKEpmIbC5uGIStHg4kaNgqVxZqXK2nxJON0ulj/wAC/LEudWq2iqPBW4fVoJWN98fgnb0tBVhVcuzs+GETN8PEhCiBEEKSVbpWxrorGpKMzVrMeKiEzvGapkOSRpTq1i4YcJVza71Msmuirz7366jefHkCP2vofsCctzRcoFca82qxbN6snGRXfoc3WzTz7ZW37y/tH0exfWaqzMF0WEcM3ihXNN6mXh1qkoEiVbZ3X+8RpRZ1YrE9KozKml8scScAD0RgG9UQC5ICXsfsn3wlt7Q9JUNLI3D0ZCDDDDE4U0Ey5zWSbep94wYOTGuH5MFAtHfE1T0DWJj7KjqZpMrWyxOldEliQMXZCye8OAo57H+bXK57avrS2UKNri/Dtftz+SqPJeeEHM3sQ5cr/j8u6tDmmWMXQirtzpibSxGWZ4wvCtl1ZZmSuiqTIr86UJuVgMPwZOhOvHHHU9Rm4kHJ0nys2hF5FmIuIiz3KKBQ1FklAVmaWGLZzrJImCpVKw9en37iXkFW0D21RRJGGAYJmaGLJKYlgqy9L0f7/+lbXpvvzS+SblooEsicHs+ZXa9LxtGSpJKoQkXpDws6uHpGlOkmRTwoWmyiw2bJJM3JNZlnFrd0CaitopCFOGbjy9zo3FsrhOReLsapWzK1UURcI2Vb727AKWIb536XSdtcXyA/X7B0EMgSf74eFomkKWZTl39u+uwV4QUy5M1qeazcsX5oUYTlOwDFWkjeUihfDKZo88F0PwzYPhQ3/3qcUy1uTvKZoqycT9O8ty2j3voY+b4ePDm5Dn8lw4Uh6LdH7RcLyIIEhYbhSplUwkSULXVRYaBYqWxpvX2gzdaLpf2aY+cV2XURTQVUnUB5JwbtZ1hbEbid4D8M7NHqoi4UcxXhAjK8eCb5G2Y6gKWwcjZEUmSXLhKDkUTsuDcchgFGKbKlmeCydeWaZs61OjExDJwI2qSZ5nqKpMs2pgGCr1isHppTIbSyWeP9dEUSSWmgXKhQfPE36YsNsSpDPb1OgOAspFna8+u4CuyaiqIJA+joDj/nPT7b0hr15eoFYyUFWZc2tVSgWd3vCeeqDlTJ2iVUVmsVHg4kYNRRGEtPn6jFwwwwyfBHf2hyRpRp7D7pHDxbUaczUTxxdCzdW5Irf3H75PghBkiXpF9ANev94iScRzvnWjza2dIa4vyF+VgkEYpeQ5NMvWlKx2bEgVJilpduzg6HN9q8dh12O5UeDSRh1DV6iWLeaqJpauivVVEwIN29TIctA0hYKposkSGxMzBHWyzj2zUZ8SrlRFolbW6Y4C4jijYIlUs94oIEpygijl7EqVKE4Jw5RXn5knJWfghiAJE6CRE9GeuCSfWizjBwnlgjZNI2lWxGxn4b616s9f38XxY7Is58rtHnf2BvzkvUOiRLw279zsMPJOOlh+84VlkcKuyjRrJqqsTNfSGWb4rLE8V6R8PCuomA8ILz5N5HmONK1v7n5dzEGEMDvNxBrT7vs8c6pO0Rb9kRfPN9lYKqOpMtWCQa2kYygKS40CK80itZJBo2xOjOwkSgWdkqlxaqnEYsPm/GoF21ApWhqaKro40xFpDmGcMfQiWv0AP0zE8ygS3YGPpsi0hz7tYUjBUAjilKKpsdQoULINfvXVNVYXigRRgh8kbCyWKdgat/ZGJBPn2igWKevVkjE960STBHfye/qmwOnlCqahsDJXZGWS6P64Pdn+OKQ7DNjvjGn1PUZOxNiNePPGpzc7nUHg5u5QuNrniNf4WotfemGJ9YUStbLBuVUhxKuXDYJQ9A88P+F7P9/FNjV0XUFTJWxTwTbF/BAZ0hzyDKQ85/4RWqNqYpsaOhumUAABAABJREFUsqwgyxKOFzP24qnDfclSsQ2Vrz+3yIWNOgvNAr1RwGAseAMHXZfOwOfNay1ev9rCNgSB/KjrMfIiVEWmXNC5ttWnXBCfu7maRb1scnG9ylzNQlMVYWglwwmF+z14/VpLGNTlsNdyPvS88YvCmZUKZ1YqjP2IgqlxZqXMztF4amA1wwyfNo5FmWmeM3RCFhq26FXti17IP/pbl2lUTNIJV+Hli/N0hgGOH7PYEOmUsiyMETVZpM/JkugP1ksGsiJN99T5uo2pC6NT29TwwmQiEoPOIGDohEiTe9dQhTmiIou+WrWoocgSyoSjcHa5TMnSUGWZZs3CUAV3QpIkxp5IrVNVGV2TeeXSAguNAoYmU7I1qkVdJN0aGlGS0R0GJ16Tn7x7RJJkpGnOu7e7LNRtVEXG0BUqBYMgTJERIsb+0J/2QyVZJFVFsTDV6gwjfvPr65i6gqkrvHJ5AS9MhEdEDruHDmGcTsxsMzr3Xced/eG0rtltOdN1GmB1ocT5tSqqKsTwX738dCcAzPDlwWHXpTMIkIA0ybm+Nfi8L+kjo249WItYH/C1pw3Jo5xCn1D8+qvrzNXEDOnMSoVXL315efEze+6nAD985wCAVy/NPzS+coYnG3/3O2f5/hu73Nkf8X/9/77J/+Z/8rVPjVQ6wxcD5YLOixc+m80oy3N0TUFXZXRdNEZWF0Qj7v07XcoFncE4wAtTFCXh7GqF/+h3n+XO3pCRG7F1MKJaEm6VsgzXtvu8ce2IrSMRByohXDtlGTRVIcvuNiUNTWW+ZjD2YvwgmkSTxxiaTLlQpGipDJyQ/a5LtSiGOv1RAJJw4Y4GPkMnFM8pCRfRoq2zczTi9esthuMQXVc4s1qhXjJ48cKDaUXVknEiwq1S1Bg6MW4Qc9QTzqZi0CNSR9YXSyRpxo3tAXtth5W5Ard2B3QGPpWigabK08SUhyFJM65v97mzP8Q2NZ4703xo/LyhKTx75qO5nD0M9/ex8oc0tmb49KGrGkmakeYgk+P6MclEjKArCm4wISblkGXplCglKRJRmHF9q0+cpOiayoWNKrWSSX/kEyc5lYKOpavkec7WgYMfJeiKTLEwIs0yzq1WaVQsmlWLX3p+ibdvdSAXrrh3DsdsHowoWhovXZgjijM6A58wSoSLnCqj5yp1S6NRMTnserT7Pn6UYBkKc1WbwTjgv/6T95ElmVcvzpNNbHnyHNFM4a6LZc7dJqSiyFycuDgMxiHv3+kycGL+vd8QdrhvXG/z9q3udHho6SpBlFDBQFMV5ksGrz4i7vNh+KgJG4+LxUaBP/jVc5/6887wxcfQCdk5GiNJIu1qda7E+4U+vZFP0daplgziBDpDl3v6dygKpOndNHPheiOd2INUWaJSMrANVbjvZjleGNPAIo5zHC8gSQWRIHkIeV9T5RNuSK2+x0HHpTcU+54kS2L4eXyf37O3qKrMr7269oHPqasKmiZP14cPQxSn7HUc4iSjfp9TxM3dPu/d7mFoCt94bvFEjPz9yO77Mz/vrfCw6/LzK0fkiFTFjxuH/HFx4iyQf+Qwhxl+EchPvjHDSbKdpgknqrHrk2Q5iqJQ1iCIU8L40e9kvaLz4rl5vv3iMl6Q8OaNNrtHY3ZbwtG1WTU5v1bj+XNztPoeR12PP/7Bbd651QEkfv0rqyfStD5t6JrykV1+Pwz5JJXs3n9nD1kARm40FbZtLJZmwswZfqGwdIX/8G89A4i68Z//2TXevN5GliROrZQZjAN2jhwUWcLURR1fLxv4QUKhLD6rSZKSAQVTkActQ0VVFeI4RZ84Pdcme2WS5fyf/z8/xwti1hdLXFi/u+ff2R+QZiBJOaoskjX9MMU2VWolg0pRJ81y6mWToTcmngw/bVObJgX/4I1dto5GuF5M0VSZq9/rmiTzH/wNYWpy2HX4v/13bwmiuSwjS8LtP88lFEWaOtmCcF967mzzxOt2LNAYOiH7HYcgSinZOhfWa5yaGGD4YcKVOz2SLGN1rogzcdS1TXXqmAeI/TCf/l+8MKE1EVPM122+ul4Xrv3Auzc7/Oz9QxRF5tJGFU1Vp487seY8Yj5iGirPT/6eO/tDlMlgWJHl2b78GeH+ls3ndR7MJuSD4+QrQ5MZjUOuuBGjcciN7R7tydAzy3MUReLUYpnFus3Ii2j3fbwgQdcUVuZs0ixnr+3hhwlhnKAoMe/d6eL6iUjdlSSiWBB2NVWaEBsMusOA1sATyZ2KMHAAUFSZ7cMx7YHH2ZUqL5yfo2Br/Olrm8RJhqUr7HUcZEmIwBwvRtNULqxW+f3vnHuAUPwwHJ9HJUlisW7TH4fEcYbjx7x4fu5De+RZlrN1OMLxYmxLJc9O1iYlS+N370nS6A79Bx4PD7pBRrFw+Xz/dpeFxswpcoYZHoYsy/jJ+0ccdT0aFZNvPLckknsmuL//rGoKv/bqOrWS9dCfuR8lWz+RGtEfBdzY7pNlOasLJdLJRhtECUM3pFExKRcN2j2PsR9x2HWJ05zFhoXrJ/hhPE0Le/tGB7ibsHtxvcbqQgky+PnVQw46CYqsUCnqzNcLQI6pq4yckPZArCd//zcuQA5plnF1q8dBW7gAz1VtDEMlz0b4gUg7tg0hlpUmJDpDV1hfKLO2INyEZVkY7Bz1PJIkm6YFSJLEQt3m3FqF9fiuMPWFc81p0vbNnT7v3elh6oogZB+/vgiDj/S+1zm7rw+0MlfkD379PGma8fOrrRPvz719n6ET8tq7BwRRyjOn6lxYn6UFz/DJoSryCcfn+xFECZsHI+IkY7lZoFH5BCQqCZabd/tvx71JWZZZXyiLRJ7g7j1kmyqXNuo4foQbJPRGIc2KEGrUSgZI0B+FqIpMqaBTr5iM3IhWz8M0VKIopTPwKdoGL5yr8dbNDrknUSmZxEnMyEmIJoSqMM7pTlLZ56s2tiXIp2EsBFhBmAixuynM9r727CKmpnLxdJ1aycA2NWxDIwgPOei4eKE41yVpSpyK2uag7fG1Z2VevjCPLEvcnCQ/HiOMUq5t9YjijMVGgRcmrt2OH7N1MKLV81hbKJ1IPLkfx+v6cRl3vPx82Ox0ho+O9L5md7vvUSuZvHppgb/36xdQZInNgxE/u3JEZyDm6yM3pNP36PZFEubKfJFa0eTG7gDHF6aNiiyRZGKiJ8kgp6Br4jO+ulBgv+0RxglJnJLmOW9cPaK7VMbUVMoFg2oJmhULy1TZWCoRRSljL2T3yGHsh6IWApEqoylUi4Ywe6vbjF0h+vHChNv7Y77x/BIbSyX+9Mdb/OCtfUxdYX2xzHzdRpakh9bN958v7p8LfJ745gvLWIYqUlQnyGf3xwyfIRoVixcNYdxyjOPeeKWo87//T3+JP//ZDiM3IowSkTwRxqgTM7bjpCc/TAhiR/QoJEmYJ7VcDroOBUtjqW5NzCckKgWNfJJ2meUT0RV3EyYkGeplC0WRUWUx6dRUIZ5WZRlFlZmr2ph+xEKtgKxKKHKGlItZ6Lu3u/zw7X0UWeJvfmODrz6zwFefEbyB3db4xF4eRAn/7ifbuH7MmZUy/XHA9e0+eZ6zslBClUVKjirLxHFGtWRMjVVzJIZOyNiLhUGEIvHXb+8RRhmnlytcWK9gm+I8bqrSxGhW9GhlKT9hoJPft2Ldv07dvwp8/bklvv7cZzeHeVxc2exyfWuAaSj80gvLlGfzks8U24cjhk5EwdLYWCp/7IS6zwtJJhJ+vSBGVWSSJ2kDfkykX1Dv9TB8+gSjMhlBmOAFMXGcoiizJI4ZnmD86J19QDhAz/B0QlVk/rN//2VURea1dw/5V391+/O+pBm+RPD8mMOuix8mDMYhhz2PSlGQRjeWypi6gqrKSFKOosh4foIqy6wvlLAMVcQTlwwsUxRiQyfkoOvhBYIE7oXp1ElSliV0TSHLc2xL59dfXcPQhEK+YGp4QUKe5zh+DFLOQcdj6EYkac5Rz+WNG0fsdVxcLyGKU+IsJ4wy0iwjiTNee+eQ2/sDrmz2Oeq6jN2Io45Lu+/T6vvsHI057Lon/v6NReGAA4Js+tXLS5xZLtPqeXh+jCJLXLnTY681ZvtwLAa4mz06Q5+DjssP3tzDNDRUVaY3DrAN9UNFF3sth6ubPfqjkL2Wwzu3OyeU9Z8VqkVBtAGx7qzOP9yJdIZPF3/+s23CeOLmmos46zTPybOcbOLkkGWClCHLMnGaEUYp9bJOd+DRGwd4Qcph12E0DvnJu4e8d7vHUc/jr97aZ7c15tbugL3WmCBI2O+6eF5MEGYESUoYpwRRgqqKexcJkCQsXSFJMuEKIUksNwvCpVcWxGpVkTE0GUmCoqUJh1hJNFhURXzmj/o+USwKsTeut1hqFlmeE8/TqJjYhkKS5szVLIrWg439JM24uTsQiTiGSqvvCzcQNyTPcrYOxL0nSeCHKWMvQlVlXrr4oChrhhmeNqRZzo0d8fl3/Rg/jDEMlSRJiRMRed4fh/hBzGAcn3zspM4+buqJZJ+c49pVQgxWyrZGMNkzm1WTmztDxl7IubUKSZqRpBmyJNEof3jSkxfEbO6P2G+77LVdtg7HxHFGvSKakIoi8fIHCCbvRX8UsN8W547eMGC37TzWa/WDN/fpDQPGbsRfv7U/bcCOvIjX3j1k7EZ0Bj5//db+I5+nXjEpTRqMmipP3Ss/L3z/zT3645DBOOSv3tz7hbtgbCyWp+ra1fniJ45knuHTh6LIrC4IckGcZqRZzmK9QJrkjL0Ix4+Io5QwShl5yYcKOADCKKNRMZFl6A4DojglCBPCKBE1gRPRqJjTe74z9Pnuz3bYa7v0RgF//NebdAZPvju8bWpTofRczeb8WnWa5Hd2tfKBJhhZlnNjp4/ri7ST6/eRGWaY4ReJJM54/VoLx48Z+RHv3GwzGEcosiTIOHmOqspkObx8aQ5TF4eAesVEliCIUtwgYexF+EFCGGdkec7KxMRAVWU29wccdj1Gbsx7t7vTYaKuKjSq1mRtSBn7Ef1RNO0b/P++f4uBEzH2Yv7yjV06fY8wThk4IZtHd1MNdtoOw3FIGKcMvQjbFA6bSPDSPUYV5YIOEsRpTpSkVIoGcZoRT8iFtUcINO/Fj945oN33GbsRP3n/kMH4rsPdrd3B9LV4/VqLnaMxfpjQHQboujzdD1fmRRIKgCwJInc4WWeTOJsKOBw/4t/8eJP+OKQz8PnZ1db0cY2Kybn1qngOWWJ98fFq73rZQJaFsDdOs8/UgfjLjKKlTV/bj/L+fNooF3RBjjga0xuFbB+O6Qx9eqOAn145JE2zqcOkHyaoisLIFwPQw66H44kEziRNOez6OG6MocqkWY4/GcoNxxESYExMEWRZkCGiOCPLJUxDwfNj0RcIRK9N0xRsU6M/CugOAxRZYa/tcmO3z529Ib1hwEHb4bs/2yFJc+7sjxm5IWmW4XoRQZRS+YDEjYfBNrVp2sXACdFVGT9MOOp6U4L0o9DqT8wmwoTuIBCCFQBJnHXvF4HUSuY0EURV5YcmA97ZHzJyxLq3uT+aim1mmGGGk7i23efmjthjNw9GE+H3XawvlqcO3gsNG8tQ0TWFpcl5RJrcqx8F3aGPFyb4UUq777HQsDE0hf22i2VolIo6/VGA60e0B/6ENJLT7QdUSjpBmOIECVGc0RuF9Ech7YHH7f0hey2Xq3d6/PjKAUc9jzQXvRnHjylYGi+cbaLKEvtddyJWkfjrt/YpWBpbh2OR9CNLDMYhIy8mjBJBRFMkwlj0aAumQn8kTDVcP0ZRJEEon7wWi80Chq7Q6nvEk9SQrYMRrh8/8HoeCziGTshr74neSLvvY+vidQY4vVzm7GqVly/OTR97bq36UAOMe2vQD1pLf/j2w89bM8zwWeHO3kjsy0HCrb0hQfTx52nzNXtKtjQ0hcXJenQ8G2lULYq2TsnWqRR1eqOQkRtxZ2/EzUlNcdB18QPhLh7FKa6fcNB18YKY/Y5Lq+cxcEIOOw67HYfhxCziT360xWAszk1+EKOr6gOEzjSDMEroDH322o5YJ2QZ14+FkY8siZQEoDXw8YIYz0+4MelfKIqEG8SM3JB2z0dTJMJICGT9IMEwZNp9fzorPZ7lgBDNjbyI4QecgW5si16JF4jflT6CcF4rmZSLOstzRSoFnXJBwzIUXjjXfOhjZvh4OLtam/bm0yyjWjKnde7+pO8uSTlpmlGrmLh+TJgIZ6gozfDCmM7AZ7fj4Hghji8IcmGcTM0O0hRySQgCHT9m59DBD5OJeDwjTWHsx+y1xlzd7LHXcdhtufzgrX2Ouh5jV7j5Z6lEnKUYmsLYCbFMhaWmPeUG/PKLy7xycZ44yRh5kaiPJYmdozF/9IM77LdcWn2fO/tjOgOf/ihgdeHh/ewXzjXRJ32SZtXizHLlF/COPD7WF0sfuKfPMMNnhXt75ff3Qkq2ztm1Kqoic3uSpBcnGa+9e8iZlQrHHPLzq2X6o5A0zYnijN22w3ZrhBckdIc+N/ZGjL2IMM4YuBH1skmW5qRZTsHUKBcMgjgliFPSNCOIYqIoJQhTQMIJYsJY8Bb2Ox7toeAcbR+NIRdpFnGSkecZ/+ZHmwydiN4o5A//4tZUdKEoEt9+aXk6ByzaGs6EDzX2It660WG3NRbJVZN6YnNfiK7HXkROPhWLGrpCs2LSG4qErPbA552bHYbjCC9IuL7V5V9+7ya9UUhvFPLzqx3WFya8I0Xib//KmSk3x77HxOUYJ872dftuP+MJQnfo8/MrItmo3fd57Z1Hz2Bn+GToDHwOu8KgpTPwOeg83gz9SUKzYpJlGXGaEyYpRUv7vC/pIyOUH+wBlssfrW/xJGLpIT3QJxl/+P3bbB6MGLkxb97o8P03dj/vS/rc8OTtEDOcwM7RmJ0jB1WR+Orlxc/7cmb4BDi3WuU/+TvP8k//8B3+X3/0HmeWKzw/a2Z84RGECXttB0mSWJkvYmifTDUYRAlvXG0RRCmXTtVYusdN5rh5qMgSK3PFaRPfj1KaFYs0E5Go2cRV6cJ6jdPLZb71/DL/zb+9IpzwwhRVlbm1N+DyqTovX5znxfOiifOnr93h51fb2IaKPHETL9k6hqZwaaPG2EuoTVIvDEPhG88u4YUJqibcJXcOR2wfjumNoGDKnF2qcOtgRBglpFlOnklTp8Asz5ElibWmxW7bIZ0UbUiTZhKCgJXlOfkkCcTUZIbjkOvbfWplc/pay7LMb35tA8cLuLI14O2bbZIkY3WhRJJkuEFMmuUkk2bV8XAbhCtGkubIEnzl0jxpCl+5PMetvRGvX2sJd6zV6vS1PkYYp1MyCojYsjjN+KTZAGmWs9caE8WC7HFcrB5DliUubtSJkxRFlqfkkxk+e4y9SMSDTlxdJXIaFZPhOCBHOO5uLJWolU2SJOPF83O0eh6KPGkwVix0Veawm7HXdhk6IV6U0BsH5FlOeyBIU4YhnHBUVaZZtzANhTDJsE2VoRPy3Z9usdgo8srFebYOR8xVxb2vTJz0TUPlxfNzjL0QVRGO/pIkoWkyG4vlKfFjt+UwckP8ICEIRYNVngwH/CCmaGpsHo6olU1+4yurSIqMpWsT5X3CXksUnL1xIEjZXsT6QhlDU1hbKLE8V2T3yCHNcoIwIU4zZFnm1FKZly40ubTROOHq92khz3P2O2LYomsKcZyhqcKJ6GkkNodxyl7LEU4ic8VZE/gJRDYRcB1DlmWePVXnnbUqy4EQcOwcDAiSBweTMnC8k0iS+Pdi3SJHwnEDJFnm0kaDbzy/xHu3e9TKBmmaMcwjoigjB545VaNgaViGxuNoB0ZuxEHHpT8WjsDH6R0vXZinVjJFdPGH3JvRfb8ojh9PtODfM5zNc4jiBNtUCcPkhD3Nhw1xFVnimdOf717YGwV0hz6aJhNFCces0STJSLIM9RfopTBft2lUTHJ4Kte5pxFRlPD69TZ+kHB+rSpcXj8Ey80i8zUb14+5ttUH4IXzDYoFmSiKOZqcLT9MvqEpUDA1dE1Eg4dxhqpKZBkUbA3LUNlYrLBYt5FliTgU92cUp6RpOnUuT9NsSg590nF6ucLqfEnEnSPWDkVRpgSF+5Hl+QlH/iTNTrjOzjDDLxJekKDIMiVbDDrGbkS9pNGsmCRZhiJLFCwdVZZYnivw7ZdW6E1SJP/or26T5SGKLJxlnzlVI8lydFXhpYsLLDYsdFXl//T//jFjNyTNRU2yPl+kXrEoFnR+9t4hBUMnzzN644CipWPoCrIkEScZWZaRk5PlYBsKhqEjS+B4Md9/Y5c8zxm7IUkiCCCGplItGrxyaR5VlthYKrPfFu7SABfW6mwspEK8HSWsL5bxw5hG2TqRnOBHKd/9yRaOF/PcmQbP3dM784KYgROSZaIP4IcJ1ckye+8ZJEkzBuOAKMkwNJXzaxVOn6k8sB9mWU6lYEyHTYoskjdlWSKI0hPrRTyp49IsQ1MV7uwPubHdxzZVLqw9nkN1molzVRAlaKpMyZo5231WOLNSYW2hiCzLn6ujXaNqsdgoMBiHUxKspkiEgKqqLDdUDiSRJtGoWMiyRMFUKVk6aSpIDpqqsFC3qZYM0ixn6ER0Bx6aknPYc5ElifIkdUOWJQxNoWiqPHe2TpLmGIbKsi2MWaolgxfONYnjlLeutznoekiSqDdURaY99InjjDgRbtB+kAC5uL9LGlkGc3XrsXpcaSoIH44Xk6TC6bJU0Bm70fRn4scoUm5s97m63adoapxeLlMrF6bk8OP7OUmFm32cZCw0bC6dulsPBFHKD97aI04yLp9uTBNEHqhbPoHYOsty9juC7FYvm5/MPXyGLy3ev9PlsOsyV7V4/txnk9j9cXB/XeDfZ1RUL5tULs6TpDmtvseNnT7NqsXaQonFRmGSvvXRalFDU1ibL5Ll4j7PUnjhfJOxFzEYB7xzu8Pt3QGqKiMj0oLmajbNqsk3X1jiv/7jK2wdjnHDmDTJReJRJuYZbhBjmwqel4i+PxKGLgwyLF1h4IT8rV86jR8lwkVYkoiTlIvrFY66grg99mIqRZ2Fuo2iSEgSLDWL9McBmiqRI9EdBSw1CjSqFmvzRaolg72Wy42dPq9cmueFc03yPCeM0mktEiXp9PXMck7UNP59vZFK2eQf/vZFojSjYOrIssS51Rrr8yWSjCmB/WE4rkElHnx/7u3PkHPivDXDDJ8Wsixnr+0QRAnNikWU3LPW5KKHxj1H5YfNPz8IqiLz7JkGSZqhKvL0HrNNjRfPzxFGCe/c6jBwQhabNu4oFMnEXZckTSfzFBnDUDA0FUNXsA2NJE3pDn2SJCMlx9AU/DAmz3K8MEH3QlRZCIrjJGcw9hk6IXMVg6EjCK85Ip0sR6x1SZpNBO8S5BmqKlzC08l9PFexMCcp7cdnlSTJWJkrYhkqfpCw33EpFTQKpjVJc1TZ3B+yeTDk2TNNnj3TOFHHvDsR46VZRmcQkGU5Yy9k+8hhY6FEuWhMe9oPO0fLssSlySzy65cXiJIUXVU/k5nOlwk7R2Nu7gywTZWXLy2gT3rxv/PN03hBRHcYcNC5a7oyPb/mEqeWyqwtlNjvOIRRgucnjP0IORdzMceNSDNQgEwCRVHQVfE5zHJxj6WZ+Jw5XoShqeiqTJimYvYJWLpKkiaTGb74/XEc89aNFkmaEyUJ51crFCydoRNiGyprC2VUReblSwtTw4nf/qVT3NzpoykyRz2PsSdqJcePCUIxu1ueK3JutXIiVed+NKs2f/Cdc0RJgm0+GbX1/XXJKx+wp88ww2eJe3vl967hRz0PXZX5pReWGHshO0dCRCjm9kV++2vrxCnc2OnxZz/dxdDE+pLmULZ1wS9CCLoKpkYQJSIdytS4sF7FCRLOLJWxDZXaSoUwSjnqeSKVbrGEriocdB3qRYM+IQVLI07S6V5o6AqGJvPNF5bJ0pyRF/Dzq+3pfC+MUy6s107M/Vw/5NbukLOrFQxNnH2zLGc0MZ+Yrx2LGHO2WmP2Wy6aKvOVZxb42rML7LcdygWD7cMR83VbrJGyMHzQNbEXawoMnGj6Wma5yj/+Oy/iByGWaVAwVbJMmGaI87fEbms87Q1oisJOa4wfpFOBzeeB4/5MHGfM1+2p8QWIvk8YJbiBMAYpWjOuwWeJKE4ZOiFuEGPq6uf6ufi48IKEc6tV+qMATVMoPyK97UnF/sHoga9d3+9yYfnRZs5POvYf01jzScLIDadzHMtQ6Dtf0JiUx8DstPiE46/fFirHF8/PUXgK1WsznMTvfOs0v/LSCmmW81/8sx9za3fweV/SDJ8h8jzn6laP7jCgM/C5ttX7xM/5w7f3ubU3ZK/t8Bev7+J4YvCZZTnXtvr0hgHtvs/17f70MeuLJYq2hjIp1u6Nv9ZUBV1XqJVMgjCl54T4YYLrxdw5GKHIEpoq84O3dvn+G/sMxgG39gZsH43IMojjFE2VMQ2NpWYB01QpFHQ2FstomsJ3f7ZDq+fT7vkMnJgoyVAUiTTLyCU4t1ohnzSQLFPh1FIFQ1eJ4oS5mgmShCIrKJJwHzV1BdtUKVpC6JHlomkUxynIMrkkyJsf9Frf3B1xbbPPe7e6vHOzQxQlOF5EwVApF0QyiWWonF6u0KyaIAmH8+VmgaKlIcsyp1fL3NgZ8taNNnsth7eut7m6+eDvWqjb0+hETZVZbNgUzE++hm8fjjjsevRGATd2+g8Mze59X2cCjl8s/r3fPI86SbeQJNEk8fwYN0hEIzPJyTKoFQ1W58vUSibVsknR0jm7UqVgquiqQjJhLzl+RDhxxXV94ZZZtHR0TcU0FJpVk6W6TZKBjMRe2+H9zR5HPeEQcW2rz1KjIJr+ioymKjQrd903ygWRsKMootGxMlekXjaFIGriWi1LEpWSPiF0SHQHPpah8vrVFv/qB7fZa7lsHYx5/XoHS9eoT8RT1zb7dIcBb1xr8f3Xd2n3ffbb7gnnp+WmTbNqocgSjao1dUkt2ToX1mqfWbN/r+2w13Jo933++s19dttjjnoet/eGn8nv+6xxbatHZ+DTHQZc3eo9EMs6w+eP48SaYyzWbQxDEP0KpoapKWiqgus/uJ7fSyHKc+GGleU5g3FIEEOSCkfMOE756uUFJAk6w4AsF8Kv7tCnNw7xwxTLVD/ULVcIBR2iJCXLc/puKKKDj1N3TPVDBRwgHKZ1beJuLUtT190Pw8V7zieLjcLUMbJRMU80se49xzwKn9de6HgRN3cG9Echra5/QnB5aqn8gckAnzWUSbrSDL8Y/OjdA27uDNhrO/zlG7sMH7PhpCoy5YJOeeLcVLINVuer5MgIX9kPR5xCkqSYhkZvGLDXchg6kUjiiDLSNEfXZNYWS6iKTMnWKVgalaLOYrM4vXc3lsosND7fFJuPAk0VBF1ZljAN7ZGDUVWRT6wpC3V7JuCY4XNDvWpydrXCJEaP58/NYZo6iiJTtHQKli7qgSDhoOPSHQTkucTQEclVYZTiBSmNqomiyOiqQqmgszpXwDaF8LtSFA54UZwSTswF/DCl3fOplk0URUJVFc6v1aiVDBRZRlXlCUlJrBuaKlMpWyLFT1eRJNg+FKYz17b7OEFCnIDjJxx2BWF74ET86N0DdlsO/VFId+hTsjUMXUHXFFbnioyckCjK6EyEj8f4kx/c5r3bXbYOR/zJj+6ccCQr2tok3UzUSJXC3X32OIEToFI0GDghjhfTGwUgffB+qEzWBEWWUWSZ+YnIDYTQ/l7n8OfONJBlQagfORF/+Bc32W07XN8Z8D98/8ZjveeVgo5lqpi6iqrIJ655hk8fmqp8rgIOgFNLFUqWRtESSbeKLJPmObWySZpleGFKrWhimxqaIqGqMpYphrimrgESpqFycaMm5gOmRppmGLpGf5wQhClekHDU84miFD8QjrqyItOoWBRtcS+Ti/vilYvz6JqCZWjohjgvD11xVogTkeDnhwlxnFGyhVDKNlQURcLzUxRFRkEWxOYPwebBiMOOyzs327x7q0O77zF2w+k9pt5XK30Q9toON3cHDEYh2xOzq2ZVrEf33s+394Yc9US/7NpWXySOTOqBv3pzl839EXsthz//+c5UFL5YL0wTegqWNnXx/DjYazvst136I0EiOe7XzjDD4+Lmbp/Xr7bYb7u8daPDlc3u531JU5xdqUxdrhVFEul390FRZA57rjCFGIWTRNJYnNM/Ri36/Lk5ZFnc52sLJeYnZ3ZZlriy1eetGx0GTkSrH9AehgzcCC+Iubhep1GyqJVNdE0mz/Lj21yQlxWZPBemTZapkGQZYZKSZTl+lLJ1OKY7EiKRU0sVjm1znzlVR1VVVFWZrpWuJ1LTCpaOoakkaT5xPy7gBQlFS2PkRRRMDU1TeP1am4Ouy+29IT94cw9JklhbKCHJx+RylXLh2F1YfqCmaVasEwKxSxs1DEOjZBsneh+6rn6ogOMYqvLB78+ljbt9l0bFYq46O6/M8OljpzW+u2bsDqjcQ/4q2frdhD/E/PPqQ+afD4MkiXP7/fW+LEu8dbPD9e0BrZ7PD97apzPwGYxDHE+4fXt+wtAJCYIEL4xpVi10TcYLEkxdFckVuSCUGrpKkmZkWU4QpawvlslzGEyS1xVFpu+IZGZFkdE1MUMqGhpxkrHUsInjjIKhMle1ma9YyLL4OV1VaFRMqiUDSZKmQtRy0cAyhbDjoOuiKUK0KssyuqEhy7B1OMbxY9641uLmTn9ax4DouyLBYdcjiBJ+fvWIN6938PyYt252SBKR7vo4pHNNVVBVZVp/zvDx0R8FfP+NXfbaDjd2Bvzk3YMT37dNnfn63VQVWZaYn6bTWtNZ4FKjyNpCmThJCaMMf9JTkGUxm8+QkCQhgpSQhKFCnpGkOXku7rc8hzQXxpBIIOU5SZqhaQrLzQKmJuaZq3NFDnoBO4cO797qTp3qHS/G1BUUWcHxYrwwoXQPKXi+ZlEpGhx0XYZuKK5ncn1plqNpCvWyyeIjBBzHUFX5iRFwwIN1SZbnMwHHDL9wHPfKj9Ed+mwdjOiPQo66HvWyJfqEsbjnTi2WsCwxl3j+bJ25qokky0iyzCvn5yjYGrIkeEYX16qMPZGmMfYi/Cim3ffx/JgbOwPqFRMJiYOOi2kIgUa770/WLJvWwMcPU/qjkGbFEsaoSU6SpDx3toGmCHOqs6s1NpbuqoiPEy6O6/w//Isb/NVbBxz2PP767QN2WyMkCfpjYfyysVjCC2MkCZbnilzbGtDq++y1XX565ZBbu0P8UAhNSgVjsoaK/suFtTphLBJBNFVlqWkTpzlxmtMsmxRMlWa1QGFy5pZlmaKtI8vyA72Bf/7vrnJje8Bua8wf/sVNHP/z6RXc2R9xNOEYXd/uE8Z3xbPVkkEYi3RCz48pfoTk1Rk+OhRFpjP0cbyY7jA4YWz0tKA++cykk/Nw+RP00z4vfPXS/ANfe9oFHACvPFv/vC/hI8MyVNwgJopTHC+mWf6k1thPL2YSuicYeZ7z5z/bAeCXX1r5nK9mhk8DkiTxP/8HL9MbB7x7q8v/9p/+kP/d//TrPHvm6d8MZngQySRm8BhBmE4dHT8uBs7dg32a5gzdiKKtTyMPj3Evud/UVX7nl07R6vuUCvq0GSriVn0MTRWKfEkQwQuWGPCOvYj3bncJ45TNfaFE1VSFPANJzzm/XhNEKV1lsV5g5AZcPt1A10QUuB+Ig/4xdFXmq5cWGDghOeK1ydKcy6drLNQL/NJzSzhBwp//fJtKQefiepVrOwOQJCxdw9QV5usW33h+ibeut2kPfGRZqPLPLpdpDwPSNGPzYEijbHNpvcpPr7TojQKKts7u0Vi41aQZSBLVksG5tRrn16rT10TTRNT56eUqCzWLKMlYmy8hyTKdgcd+22HncMRB2yHLoV4xGXsRnYFPECUULA0vSFAVmV9+aYWhE6Gp8tQN8V4EoYhL1lWFuZr1WOQxLzjpUh6EyRMZu/hlxDdfWOXtGx1++PYBtbLO6aUKVza7KLJEFGVYlook5dTLFgVL5cpmlxfOz3FutcbLF+f4ziurXN3ssrBlMXQi+uOQMIzRNAVDlUiyjAvrNS6s11lsFlibK04+yzJxknJ7b4jnx2RpDjLc3htQKxuszBUZjAPma4UTKQ2SJHFxvcbYi1EVaToUOb1cZvtozELdZm2+SJrlnF+pYZsq79zqoqoy17a602aucOqVeeZ0nZKtk6bZtPB3/JgkFYk5tZJBrWTw7JnGVJT6nVdWuLIpnGsXahaunzDfKDwWSfzj4vgeipOMLM+JogzbOHYXfTSyTDgKplnOXNV6pNvXLwJZlk/iZwWiSbNNVWZE1CcNZ1erzNcjJEmaujx/7dlFbEtlOArpDD0qUYIiSbhBQo5wdyGHJLtL3NYUGQmZKEpBFt8zVBlZhrWFErIshIxFS2PkiuZkfULOPL1U+VDiRJKKz9DaQokgTECCly/MC0LZPfdllmVc3eoTRClnVyonhqwgzgrPnW3i+jGmoT5WCtmd/SFplvHyxTnqZXM6lATRAP2tr61z0PWIkxRVkRk64QO/97NAlmVc2ewzmKQqVYoGz2zUHzmU9O4TWF5Yr1MpGuR5LoakM3zhce95Pc9Fws3jfl7v3587g4B3brYZOiFpEpORQ84kXe9BYYeuwrn1GhtLFfKJq2W1aNCoivPHSrPI+lKJoqWTZWLYf2unT5Ll/PKLS7T7Po2KzTdfWP5CD99PL1eYq1pwz7o8wwyfF/5nf+c5/vL1HTRV4VsvrnDQcTjsuCw0ba7e6fL6tSGaKmMZZQ66Lo4fYagyS3MFDnsupqZybqVKo2Jy0PN46dwc+j2CwY3FCpIkUiUKlhB4HfV9CobGuY0qtqHgBSlff3aBOM25szdkrmGzfTBk83BMmmYsNS3+4d+8jONELDRtvvuTXQ57QqAdhin1kkGS5qiqhOsLd1pJkgjCBHtO3GOyJHP5dJ07B2MKpkqtZLJ1OMYLYxplUVe7foymyEJ0MUGWQ6vvTVNIF+oFXr0kkkKqRWMqggfhKF0timtxPEHm7I9DipaOxMPPyEvNwl3B+X2iiv/Rb5zjzv4ITZXZWKpMv94f+yd6MMdClWOnPfshJg6KInP5dGPibKp87kl6x9dcLZlkec7NnQGGpvDMqRqy/MXdB/ojYVBSsgwunno8gfDHhW2qfOfVVe7sDfmVV1e5uT0QDs5ZzmHHwfUjZFnFMhTm6gUurFc47Pos1GzmahZjNxR9BFP8zHNnGlSKOoNxyMgTQtEsE8mZpYJKvVTg/HqFOM0wNGHaUi0YNComqwslRm7Eta0+hiZz+VSDasngyp0eZdtAlkDVFJ4900BVJFaaBXZaLnmecWd/hKLInF+tUiroj0ziiJKMK3e6vHNTpPl6QYKuKUSxcH9+7kyDME4fqDM+CL1RgKYqzNdt4iSlVjY+sA92b02fZTlhnE5r9uE9yR/JxFm43fc56rnUyybzNXti3vLxa2l/kmA6dCOSNBNrz1M4xJ7h80N/dFL4PRh99s6DXiCEjqauTs1VPgiVosHf/tYZekNhUvCwz7bnn0xvaA98vGBMu+/RrFosNWzcIMHQFKIkozfwCeKUZtXi9HLlxHP9ja9vcGGtQqvns9i0BVFaE2JV8hxFksgkGZkMXVU4s1LhwmqV5842OeqNsU2Ny6frtPo+iiLjeTH9kU+jZqHIysQRuIiqSFOiaYZEpShSx+Mk41dfXWXzYMDtvRGDccif/vgOeSbxyqV53rvVwQuE0KJoajRP1eiNIp45UyOOM0ZuJEiwQKNskmbibHJ8PjjouPzsyiEly+CFs01hqhUkHHVd5mr2B66Nqip6I0d9D1NXPrXEn8E44ObugIKlcXFd7P/HqUVBlLJQs7/QteEMnx9O9ONzKFoqUt0miFPWF0on9uU4zUQyx/FjP8DcrDPw2DwYUS2Kud+jMBjfs8bmwgxjY6lMFCe4fiLIaEWdpbkC1aLJylyRMExYnS/ghyI9J89zgjhh62DEfNWiWrJYmRPpO6eWK/zJa5tT8rYsS5SLOv/+b5znqB/gRQmtrkezYrK+WGLzcDxJUG9w2PHRVIU0zxiMQppVi8un6siyjBcmbB2OkCWJuYpFFKXM1yw6w4BqWadka7xwdo6twyG6pqBPRBu9e/7ezsDHD2NqJYPDrkuzYrN1OCLLRdJhQYK1RSECeFwcdl12W2MalQfX8xk+HEGU0B0GHHZdsuxuUuzgPlOYLMvpjwKyLMPxQ1bnS9M92TY1aiWDO/tD4iTH1BWeO92kNfDojgKG44CSrVO2hQgpzScVsiTmSrqio6gxnp8gSTlFy6BUEC757mTm3awanFoq883nl9nrjHH9hIKpTuYEyTQ9ployMHUhQsqRWGxY2IbOYddl5EY0KxamofLcmYZI6JNAVxXW5sucX6sBOdWizjOn6g/t2fVHAW4QUy0+/FzyeeGBuiRKpwKqGWb4vOAFCZ2BT98JqBYM6hWTr16eZ+jErC+VSVJ452abJM25uFHnf/kPX+K//bObVAs6/+O/eZk0FWLnesWaCAAyXD+mbGv4cULB1ojjjEpBx9QUbu8N6I8DlucbGJpKFGc8f67Jta0eF9ZqeGGCqckUbJ1vNAr0hz7LC0XmaqI/54cJK80C/6v/8Kv82WubGIbCr766Tnfoc2d/SMky2GuddJv3w4Tf+Mo6P796xFzNRpmIryslg689u8jRRPQoS+BHGUMnpDXwKFpivfm9b59hMA5p1ixubA+olnW8MGWuYhInGbf3BgA8d3YO1xc8jmOOj+PHDJ1wmhg8ckOiJKNoabQHIu00B7JM8JCK96TyPm5NBsKIr933yLKcuZpNd+jxl2/sYRoqv/3VDcz7hNzHa2WlaOAGMYNxSJpllAo6QZhMZ7dplvPKxTn64xBDU5irzQTcnyXSNOPUUpkgStFVhafRlzfJcp47U2e37WCb2lRU+jRhp+U+8LVWz2W+/nTP8bu9D+c8PWmwTZ2CqeP4IbWyKcyIvqSYMT+fYFzd7LPfcTF1hW++sPx5X84MnxJ0TeE//8df5//w/3iNK5s9/vN/+kP+8e9d5ve+fWbmAPoFg6YKd9vxxH2tWnqQyP9RsTpf5PqWcJmxDZW5yt20h4IlHCkBaqWTo1RdV1lduKtWj+KU9+90SVNBeEizjLmahR8kyIpI39jaH+FMns8NYiRyciQ0TWJjqTp1huqNA3565RCAK5t95qsWxmSgehxXDFAp6vhRytiPGTsB+10PWZIpWCr1ikW5ZPAvvncDx4sYeSIauWxrRHFGGIUsN4soiowfpOiaSp5L1EoG1ZJBuWhwfXfAbstBAtYXY/6rfzOm1fc5mESGnVoq44cp5YJOGKc0KhaLjYJwvJJEnPo7NzvESUZ/HBDFGQt1m+s7A5pVix++cwA5vHOrTRxnqKqC68ecX6tye0+QT7cPx6zOF9EmRdvDGpZxkvH+Zm/aePaj5ITD58NQL5vT91hVZYr2jHT2pOBf/vk1vvfzXchh88ChMwhJsxQ3yJCAcByh4OAFu/TGAQu1Alc3+/yj33mGZ880sU0Ny1R560ZnorjPSXOQsxw3SKmEKTd2htTKJt95ZXX6e+drFt1hMBFrhCiKRGcUUK+YXL3TozcKWF8sM/IGXFRqJ0ikkiSdiMuMk5Srm32SNBOO3WHCXM1G12SeO9skSjJu7Q2ZrxU47HnIqljPXrzQmDpWKopMuagzciLmqhZDN5ymk1zYqE8FHGmacW2rT5JkjBxBYPpFNPjrZZPBpAlhTJJ9AGrlDyfX3t4bTgllnb7Pc+ean6urqywLMdrx0Klk6zOn/ScY97u6Xtvu0xsF/OxKCz9IcYOUOM1QZCaDQMjITxC0wzjjqOeR5kAqBAZjJyGIMt6+0aY3CsjznMFYDD/IoTsMWGoWuLrV4/lzzUcKKvR7zhK2qVGvmB9IPH/t3cNpes3N3QF/55fPPJAuoSryY5PWr2/3+cl74hyBBL/1tY0HSIOyLFO0NK5tOxPWusv5tSq1z9iN4YdvH3Bzb8iN7T55nnNhrUZv6POdV9Ye+phyQRepY5MzVq1kPpVxuDN8fKwtlHj/tnDOtQzlI7//9+7PQTRm72gsSED3LggPcefJc4k0A8eLGbkRmiZza3eIokgUbZ29jstc3WLrYMSd/SE/emefg46HH8bIksSzZ5q4YcrFUXBCTPVFxJM25J3hy4k8z7m62aNkiz3zZ+8fTvtCW3sj/vWPtqai3b2WM023StOM/bZDmoNDwo/fO5oO+v679nX+47/97DSFb2W+MO1JpFnG5sF4uoQcdBxKk7r+j394h1OLQvR51PFwgxSQUBSFMIJTCyWMdXGW7ww9Wj0fANNUyQBVBfKcZl3UJ4AgWk6Q5jmvX20RT/bH24ymsoq9yEVWJExNnCfKJYPu5Nxt6Aqn7nHeq5dNwki8JoamTF3vjnFMjgyjhMOuGGz6QcKZlYfX2//uJ9vTM3V/HPI73zw9/Z6iKB9IAptvFCkXdEYTcnitZHBrV5yPDrsez51pPFSgocjSL0SM+mE46nlsTaLjtw6HbB2MySYzkv4o4NtfUEMhx4v40x9vTfsxIy/kq5cXP7Pf5wUxt/eG5Dn0hyFxIs70hz2PVt8nDGOyDFRNZq/t4voxuiZzZ2Km0u55bB44In3DUFiZE4KmY5FCGKfIsiBhzVWL1CsmsixTUBV22w6rc0UaFYvnzja4tTfkuz/ZZuRF5OQ0yibdoeh/dYY+XhCx1CwxcELOrVbYWK7QGYXstRwkWaRvqKqMqavYjxAg/fnPttncH3HQcUmzjHrZpFm1MA1FkLoM9bEFTKtzRd691QFA0VVOLX3wvVwrGxx2PUCsG/de3+pccVq/lGydgRvy2tuH0+9/55XVE72Rj4NayeT6dp/BWCSN7LUdFhuFmevuDI+NtYUS17f75DkgcaKP/1kgjFPev9MjmxQZUZyyPPdwt2vbVLHNR1/TsdkRQJSk3N4b8Ob1DlEshKRFW+PiRp3t/RG6pnBjt4+pq9TLJlGccXHj5H6bI4Ekcdj16Q5Dnj/XpF42uXS6zvt3eqR5Qp5JVEs6S/UCa4tlNFnij3+4xUHbFa8lEo2yiR8kJBnst11kWaJSMPDDmDjJUVQFVRPJo6oiYRkqJVuj1fO4crvPGzdaRHGGqSucW63hBSJxLIpT9toul8/k+EHMudUKrpdg6sq0R3JslMVEUJtlgtDdH4fTM9/YDynZOsOJGUB3GPDc2cYHzgpVVZ7uA58GvCDi3762TZSIs9XIifj6c0sAn5pIZIYZHoZa2ZyepdWJkHswFv++6sc8f6457XXr988/7+sHDsYBf/aT7Wkvzg0SXjw/99DfvbZQojPwJ88thGAjNyZHIkpSVFUmCFNKlk7BVLm1O8D1Y3aOhLlbluVoisyN7QFZBkGcoOsq5aJBo2zw+vU2ZUtnMIpI05w0y2mWDd6902dtvkSr709cyj1BqnQiFFlm53DMC2ebhFFKu+8RpzmyJDF0ItbmS3hBzObhCNtQWWoWCeOEm3tDwjDFDWKcWsxR36ds6wy9CFkW9dPavFg39tsOuy2Hdt9j4ETYlspuy6FWNBg4EaoqUysZLDUef51p9z2++9PtyZoryPzPnJoZVz4u4iTj/TtiVhxGKX6UYBuipl2dP/k+3NobcHtvyJs32qiyzF7LBSQurNe4sy9Snm7sDomilLXFIl6QoKkKQZSQpDlHPZdSwcDxUmRFIoozgjDBNFRSNcPzY1RVJopz4jTF8UQquH8syI7EvP/9zR6HXZf+MKDvBGQZ5OToqkKlaJBlOVsHYwBURSGKUpaaBZGwoUYc9TyeP9sUCZ0LJVo9cYZvVExqk9SZ43PDB6HdFyRuEKLIy6fvGsc9Cbi/LpkZMc7wJMANIt653YEcdiWHS+tV/DBD1xS6A5+fvH80TRO/sdfnqO0RxRmtQcC//Mub/IPfusil02Jt98OEzcMRliGSeotFnTt7on8x8mO+97Mdhk7I0I3oDgN++xunWJ0vYhkqq/NFrmz2pgLhZs3koO2haSrdQcjbN9rTnuJhx+X0SoXmRFDw1o0217f7015OtSSMKLKJ4dXppQqdYYBtauy1XbYORyLFOE75859uU7Q1HP84ldPmrZvt6bmhUTa5sF6bzgtqZUOYtAC6JrPbdjCN456oz7XtwfQ6ukOfsR9P5zVZnk3XgME4pFzQ2T4UXCVFlmhW7s5c7q/Jwjh95Fn/5k5/WjPsHo744x9t4k/6xgcth3/y916c/mx36E/7lPsdFz+IafW9yech4dVLd2fFBUvDNFQak7ns43AmZvj4qJYM9toyBVMGSfz7aYOuyRz1fbLJLDKI0g9/0BOGS6cfTOJ42gUcAGuPwTl80nDnQBgeAey1XFzvszc1eVIxOzU+wfjuz7YB+OYLy7MD/hcMBUvjv/gn3+S//G9+zo/eOeD//j+8y0/eO+Q//f3n2XjIMGqGpxMXNmrChRKJRuWTEw2/dnmRZsXCDxNOL1emDpuSJHHpVJ3u0EeWxO9y/JgwSigXjAeGhq4v4qhcPybPRdT36ZUK64tC0GDpKttH4+nPV4smz3yjxubBmOfONHj5wjw394boqsz3frqNjyCg9EcBWZoxN3HIK5cMnj/TRNdlJCQOuy5OEBHHwm0vz0UTY+RE7LVdglC4dWgTl+2lZoFGJSOKE9YWixRMDUmSJk48MnNVkxfON7m5M8TQ1Wlzy9Bktg/HyLJMMinARIyswVefXaRgapRsnUbFnA5EgjCZOml6QUI0SRPIc9jcH06LLwmJUkGnWhLuf6am4EUJ7b5HfxxSLupoikyW5Q8lpXtBfMI5aOg83kFkqVnANIR7Ya1kzNw7niC8eb0jYrPTnCwXw8rjz5YsQZqDH2fITjj9nGU5XNsa8OyZJu2+SHq5eKrG0InI0oyBGxGGCYYeYxmiadnqB/RGAZYhHHMWGzbVkkGa5rxwrslhz+Og7RBnGTutMWk2cYC01A91AveCZKpsblQs0jRjY6lMrWSgKjK/9MIytqniRSm/8bU1buwOWZsv8crFk0XO+dUqt/eH1MsmL1+YozsOWWrYNKt3GxN+lJ5IKjomTSWpcL8wNOUzIVc2qxaaKuOHCc+eaeCFCZoqU38MIvjQvXufhnFKGCUPddj9ReHcapXuMCAnnxL1ZnjyIRwYY4bjkCTJMHSZ5aZNq+8LR8o4JctzdE2l0/dRVUhSsWYoikyWZEiSaPiVCxpDJ8Sc7I9lWycD4RAXJ3fTZ+JUOD4/4nMiSRKXNmp0hwGy/PBzy2HPI4wT0knSzrGQ7OPioHPXMScIE65v9ZirWg8IX0dudIK4PnSjz1zE0ep5RNHd80EQJRz1/RM/E8UpYy/CMlRsU8PUVZ493WDghFiG+kSQNGf4xeKVi/PUSgZekLCxWHpA5PQ46I98uqNAkGslPtA/fqLVmkJVYL5m06iY1MsGtqkiyxJeEFO0VM6vVhmMw+nZeOtgRLvvE0QxUZwhyeD6EbapctBxPraIIwgT3CAWzf+P8bfPMMOXAcf3ia7KJ9IWj3oeC3UbSZLoOQFpkqHIwiXO8SOeqdRJUhFvX7A18gwURWLsCce3ME6pFgy2DobTs+FXnlnE1FXGXoShK6Rpi5EXY2gKvVGArilk+cSdvhJP961m1aRgaaRZzlLDYujGKEGCqio0q5ZI+MrFYO/8epXbeyOeOVUjjnPGXoQkCRHHM6fruH5Mkqbc2hlM/9aRE3H5TJ0oFnWT7yfCLEGRubhe49KGqIuePV2nUrx7fllbKFGwNOIko142HkgaGzohaSaSP+erFgddl1pZ1P2DcUie51TuScoMouSEE29vGBAl2YemA1q6wj/6nWd441ob21QoWELIDoLU5UwSyZ4E+GEi9gJbPyHovbcP4bgJIzeeOp0e9R50I/uioD3wT/Rjjiakoc8KYy+ekNoE0ixDBqIoJU9TId7OM7JM7Nndgc9c3ULTZNIkIztOss1EAm9XD2iUTVbniszXbA67LoYmM181adYL5DkUbJ1m2WLsRRRsjSRLuXKnx05rTKvvIUsSuq4Qp5k4rxYMBo5YD86tVoiTjJJtkGY5C3WLKE5ZXSiSpjm1ssnl041Hpvy1Bz5BlGKZKlGccnqlwunlMsvN0gfWGGmaMXBCdE15QPxeK5v8zW+cYrftUC+bD6071hfLFG19sjaYJ67vmy8sM1+3iOKMMysV3rzePvHYg67L2ickzM/VLJoV0W8omBqyJN7PWS0ww+NisVHgt7+xwUHXY75mf+aCaseLpmQhEG7fjxJxHMMLYvwwoVzQH+hLL9RtTF0hiFK8IObqZn/aX3c8QWQOwwQ3jNnvOqQTd2qAg67zgIjj3n0qTgTRtFo0uHy6QfPvWrx/p4sfJSw1bZ47M8+ZlTLdoU8QiOTqOEkxNJmNpTIjNyRNBalSkSVxDshllpoWsiRxdrWCZWos1GxMXWVlvsi1rT6HPZ80FYnraZYTJSlemFKwVO5WYxkFS6M6MdXKYXr+ieKUw66H40dcWK/SHwXIinRijTrqeicE+/5kRvGLSADuDsOpgANEv2eGGX5ROF4zRCqcwbXN/vR7cSJqnuNzwQfNP+9Fq+9PiZhJmnNzd8D5tepDe/fPnmlMBdlriyXKtk5vFDBywxPE+eX5InM1m3dvitlPpWgwdEM25otsHY2xDQ1FkSkkCnme8/y5BmkGFVvDsQ1W52HkBJimTrlokefi3NGomCTFHMjZaznYhsrQjcjznCQTrsxRkk3/znbfo14yiZKUOM7oBAHVkslBx2WhXqDd98g5TiJTyck5s1yhXND59ovLU+Hv0IkIQuHGjiRRsjTKts7qQpGxE5JkcHqpxNiLqE7I9PciihK2W2MKpjZNSjzsuifOuocdbybi+Ai4d1Zs6AovnpujaOsULJVTSyfny0Mnoj8KRHpMmpGkOQcdh/NrVW7u9AUnIIxJMkRNMSE+rzSLxMnkvK0qRJo83YfSVKZRMcR+LEmszhUZe0JUlGU5fpggWRIFSwg0vCBBkUWKVRinBFFGydYwNQXDVHn14gJuIPoTkiSEkUj5JFUvm/zOXPRDNIVTS2VKtkaa5rx8cY6RGzFwI5I4ZTAOP7D3f++c7jgB+UkScTyqLplhhs8LIzemXjJxg1jU6UlOo2riBSJp4tp2b2ouNxgnDN1wetY/bJ/sD20slTF0hfbAZ7lZYL/tEkYZXhCztlDk9astNFWhXNCJ4ozFhj2tt5tVm199ZZVbe0NWmgXiNEeRZMI4pWBq3Njp44cpaZZRMEWa8HFNvdsan+jl1CsW/8nvP8d7d3o8e7qOoas4XsxczcY0VK5udrEMkcbh+DF//zfOc3N3iGWqNCsWP3n3kCAWSUNBdNK5fnW+RJ4Lk9u1uQJBlGKoCjmgKhJRlE77ioddF0mSGYwDygUdSZZYnS9O/6bFRmEqWj+9UhbJnaMASZJIs+xETTZ0Qhpl8T4VTCGsuJfvdW/K6G7HwfWT6XXsdU6+T8N70uKZCFCXmwWSNKdoa0RxOuWgqorMpY0aW4djbFNldf6zNRT4ssM2NZ4902DkRhQt7ak0G4vijHpFGBoVJyKgpw0/fmf7ga9tHg04tVD9xV/MJ8D9c+Krmz1+/1c+r6v5eBi7CaahCJMjBbaOvrhziQ/D03cnfUkQxSk/eHMPgN/46sOdXmd4emFoCv/r//ir/Ou/vsM/+6P3eOtGh//sv/xzfu0ra/y9Xzv/iYdHMzwZUGSJ+U85cu7MygcLA+79XZ2BP3WZ0zWZZ880Twg5dE1m58hh7EZ0Rz5rCyVMQ5AOjw9ZjYrJ/qQwi5OU/baHoanc3B2ysVTh8kRxf2WzR9/p4fgxSZbRGwd0xyFBlLA6V8TUVH73W6cYufE0KpVMIkmF82YYpSJmrWriejG9cTBVzfdH4nk0RWFjoSxcyfOcg65LFIsI0rEbUynqFE1t0hCCoqUzXy8wcMKpI2HR0tlYKvHCuQ924DF0FVWRSVLhrCUfNyglWJkvsjd5LSxDpVLSaVZsLENB1RTeu9Ji5IYMnRDHi5iv21SKCd2h/4GuVZYhSHXHhdn9Q+pH4f6UlRmeDFSLGnFy94isSBJFWyOMUyFYijMMTZ58ru42v8+ulrm52+e1dw9J05z+OOCVi/P4YULRCVEVmfdudynZumhO5BlX7vQ46rkszxWRZYnzq1UadfE5W2gUeOtGm4OOixtEBGGKrqp0B9KHJl3c/7lcbBZODI13W2PCOEORJPJc4ve+deYD04Xu7I/ojyaN1IrJ82ebD/yMqSvT+w3EPZCmGe/f+f+z9+cxmuTpfR/4ift4473fN++7su7u6p6rmzMcksMRNSNRlGzL9sprrWBpYQPW7kprY2mtV2tgVxIWWMCEZVjCSrCNhQFhbViWBcmyKVOiDpLD4Qw5Z093V3XXmZX38d5H3BH7x+/NqHyzsqrrmu6q7vcLDKa7MzMy4s34Xc/zPRqZ2/DybOGn0rQuOkZW9Mk/hdtm3tYzgpemyo9NNPi4IMvSxOH/FYQiS1imIPx3h4EoVMoKOVsnjlPCJCJJEuI4RNdlkkSINmQgSh4UKVVFIo6hXjIJE/D9iM6oyRJGCa4XcTgSHGijRJ2PvDdFzly+HwVZgqO2cMMxg5hC7vmaJPWyzeZ+X6yhbkjfDflgo8WllfJYs/C0+1b+Y0ijKhdNusMARRH3YegqlRPrsBdEvH+nSRSLv9GFJZF4ZBoqM69g0WqCF4fnSZfaPujxOz/aIYhi7u20GXrhmcEbKWI8ypL4Z8tU0VSZuZrDa+dq/O4729zd6uD5MbIkoSoyhqFg6mL9GvqiqTrwItIkpZDTsS3x3j5rZHbfDblxT7hHybLE5ZXKS9VInWCClwEnx4kkCTOE4/WuUnhgMlB0xD/HcUKM2IseC6M0ReHgaEAsifSdMIq5N0pUOGy55MwHe9y9xmBEtJDpDgKaXT8jTaqKxNHI4U5XFUzjwf52qpLLmqOKInFvtwOIhD3TUKmN3Nnyts5XXp/nK6/PkyQpP7l1lJ0RHFuYJ+RtnSCI0HXhwimub5IzNXKmRhjH3N/rZcQrQ1f4mZEL9Fl4lAB7c7/H7qhp6fohP7p5SJyI+oEiSzSL3uiz1bm4XAHA1NWxBNV8Tv9IAccxHEvn50ZpFVsHvUzEIUlkiX+fNLqDgA82mqSp+DteWa1mTVrH1rLzTc5SMwEHiGb4pxWCSPMgNe04xeanhZyljXXUJAlagwA/iHnAm5VI4gTXDznsuJTyBmmSUi4YHHU8wigZOTELIlUQxdRKNrqucH6xTMnR+f6NA+5s9fAC0fh688IUJcfghx8c0Or6+EEsnHJjiOKYetnm4nKZ3iAQ844EtiGaxztHfY46LgM3RJalsTrU8kzhI9MlKgWT3iDAC8QcMV3JcW6hPPaOHSNOUt6/18QdCdoWp/PM1sad78oF84nE248zZ1hfeEAOr5VMbm0++Fr9Bb0D01U7m/9kWZqYck3w1KiVxg1QfpoQRklkxNsnqU23uh43t9qQikSI19aqDwkNio5BEUFAsi1xPgmjBNvUyFkqQRTT7HqZs/zUqKZVP+O5HVunOdqnqIrMwAvZ2OtBKvYia/NFfv/9fW5tdtlveCxMXaHgmIRRwsAVYpOio3PYdnGDmEbHI4xS4iSmO/AxdBVdU1AUmZmqcAe+dr6OIkukaYqhK1RLBrtHPSH8kCTqJYti3qDd9UcCu5SV2QKdQZglBjjWg/3P0Av58c0jOn2fveZAiEzLFpv7fVbni6iyRLVk4Vga/aFIGDA05WNL2i3njbE18UWYkE0wwdPgZJ0+Z2v4HbE5UhTpIVOIx/VahVkbhFHKYWuIpuV4905DpPg+op92ugdfKZgsTucz0qOmyixM5ZEQ4zKOEzr9gDhJubfXR1MkkjSFJGbgRVSKJj+53aBaMLm318cPROry2kKF3jBAHdUWV2cLDEb7HkmCqYrF5v6AwTAkStJRH1ZBloTxVbVoUc4bIgHRTWmOiJ+b+z3KeR1Tk6nkTaI4IW/poj5kiL39xeUS+81hdhZI05T7+z16wxAvFMYjjq2jyjJJKnHQGrB90GdhyqE8ciU/RhAl/OPf28jOTa+v13jjfF3spU/sdWulyTzyNLBNdWwerpftR3IAHFsbjRexLimKRL1sc3urw8CN6PZ9em5EnKREUYwfJtSKJrIio6Ti5yWgfxQiyTKGJqNrMookkyQxpqZQKpjMVHNsHfTpDnyGXoisSHT6MW4Q0+z42JbGTNUmCGN0TSZOUiRZojwySyg5woAwjhMcW2N5pkilYGbieVmWxgRWJ3vosiTxB+/tEY1MrL72hcWHRNyOpWX7A6SHewYvA57ENG6CCT5O5C2N1sjYJAgTpis2jVGPbzeKUWSZw1FClWUo5EyNYFQTrJUffp9nqjlmquLc/v3r++wcCqO2IIwp5gyGfoQkif710glXeM+P2DkaoKsKRx2PoqNjm5qYEyRhoHhc33QslatrD9ahmYrNwA3H0jM+d3Gaz12cBkRN8Hg/XRiZse6PUoTztkpvGGZ7gjBKUDUZRxVnoNNcnr3GIKsv3gkTTEPNeEOqImWpXCD2CN9+d484TpAl+MLlaXKWnj1TIadntRBVlbm/32UwSgQpOsbYmUyWJd6908h6K7WSmSUhG5pI9jmunUxXHxi/Ag8ZPTqWlqWOHT/jcVqCokhjdcs4Tri52cH1Izr9AE1Vsr/vBD8dZO/9q4ok4Vs/2sneZV2Vz+QDvcx4+/Ul4Idj/+1VE3AAD/WO31itfCL38TxYnHbYGRl+ShJcXC59sjf0CWJSSX5J8Ts/2mbgRUyVLV5be7UmuwmeHJIk8ce+usbnL03z3/wv7/Htd3b5Z3+wyT/7g03evjrDv/H181xaefUm2Qk+foRRTBglo+hCaWxTHoQJzZ6LIkkYmigIdfoB5bwgJNuGSpqkBFFCs+tRyovkjq++ucC7t4/w/QgviDIRQxQn3LjXzBxCf/krKxi6yo17TSoFg84g5Ob9JoWcjjFy0tk6GHBhqUySptiWyn2jgx+GxIloEl1dr6KqClfPVXn3TgNdVbAtBVVRma5agvBqqLx5oc72YZ+DtkthRL4+bLu8tlYlTlJmajaKJLM8V6BWsvndH2+zNpcnZ+rM1nNce8zmMU1TZms2vWHI/JSDLEn4YUw5LwrJmqqwfdjnjXM1vCgmjGLW5kuiKKzK2IaaNViKOZ3pss1R+2wRh64pXFmtcNBy0VV5chD6FEBRVHRVIopTZFkQf3/5K6u8f6fBxl6XQk5npiZEF3GcYJsqV9eqvHF+in/y3XuQikZEMaeTJClf+8IC+0cD+m7IG+tVPtzs4Ecx19aq9IYhQy/CD2MsXWWnMcA0VCxDJYoS0jRFV2U8RcbSJXRVolywiJOzKKAPoGsKl1cqHLbFe5mS8O7tQy4uldA0jcOWSxgJB1AQznA5SwhVkiTFMlTiWMwjx2h2POK5FOWU2ENVZC6tlDlsuaijMdAbBLijFBxFkTlsDZ/LBRyJF+oAfm6+yG5jQBynTFfsxzro/DR+/wSfHoRRwtK0QxwnXF2t0O75SJJYz/rDENIUP4jQVQXLVOl7Eb7noaoacRzhhwmGrmKZGpeXq6wtlEWC1dBn62BAMaejqTJ9N6Retggi4YjlhzGKF2ZiLVNXzxRiHSMIIrrDgIJjjpEZF2fyuF5MEMbM13OcnRHw5LiyWkWS4Pff32dpNk+1KFyD/SAec+8o503WF0uZO8lZ6+uLxs++MU/RMZivC1fjStEc20uIVAMxJ6ap+BtO3HYneFq4vnBM0lWZVtfjhx8e4AcRXhjj+gkzVeHc1B9GoqgPSAnYeY2irY+c6yU0RebqepVfemuZetni7k6HVtdnpqpiGipRkvD1LyziBTGqKnNnu8OllQrbh31k4ItXpsnndFZmC8+crtPoCHfzMBJi62bX+6mJONJUEFk1VZ6k003wSqHZcbNGX5oKkovrCwe384tTNDourZ7HXN3hD7+9xA9vHKBpCl+9NkvBMWl0XGaqOWbrOW7ca2IaChs7CaQSUSLOGQetYVZLOmy5RHFCnKSEYczKbIHDtkvB0TO37DhOma87LEw53N/rMT/lcO38OX7/vT3hwD/l0B2E2T2/sV7jqO2SpvCFyw9S+WRZ4tJqhZv3W8gyY6QfXVf5xltL/OjmEaau8LnzNVr9AC+IRZJlnNIeBKjyw4StB+NdQVNlgjAmGiUIxHFKu+/h2Lp41ighSVP2GkNyliqSPlWZnaNBtnfo9IMR4UTMHX/47UV+cqsBwOvrD7vGHs/TjxNxz9edkXtfTKVgvjSNuEbHzZrBcSzSU63RHD9Xc1BkkVJYzhtcXq3y4UYLw1CfSPz7qqLoGPziFxa5s90hZ2lcXf3pOgU7lsbFpTKtnkhpc/0AXZWplUymKpZwsPUikCVkSex5ayWL5dkCxbzBubkS7909pNH1MXUFQ9NYmnFwbI3ZskW5bAnnyygiShIMXSGKExRZol4yMoOFgRcSBDErc3mO2h7TVYuvf3GRds/jg/ttLq2Uma07eF5Ep+9nBIUkSVmZK9Dp++iqjKrIY+KzYxyPS9vU+PoXF3nn1hHNjsfCdJ7FKedMAQeIpGD3RCLRYXv4kIjjRWN9oQypcJyfqdrPJb49ieWZgkhWjBLqJetjcdGfYIKzcLpPcBZMQx252nuYuvJE9bfDtgupSPKNE+HofRahOooTtJHIo5jT2W+KdJG5eo53bx+xvlBEkWXqZYtKwWRtvsil5Yd7YKtzxazWWS9b3NpsE4ZJJgx559YRaZqSJCntvs/1ew2urlZ583yd9+42cL2ImVqOnKlhaAqGLj6PY3H7hcUi8/U8QSTmzJW5Qla/lCQhSHdyGtW8xUFbzBdvX51jqmzyu+/s0up61MoW02WbcsGg3Q+Ig4gwiml1PeIkwbEN8rZGmqbc2+2MxPUKtZJBJa+zPFvk9XNVkhR2jwYkacpMNffYWs2LhGPr/NKXlri52cYy1FeOeDPBpwunx/xHiUZPolq0+NoXFvnRh4fYhsLSTB5SaLS9pzJFW18osXM0IElG9f/RWLy0WuHGvSbzUw6eH9HseuRzOj97Lcd7dxvkLZ3VuTxxlHB3p8NM1WbgRSgynF8qkzNVBl7E6myB84slPrzfptP3ubBUZvtwgCLvsXUIxZyBqsrousxsLc/WQZ9KweBrX1hAlmR+/OEBs1UbWZGxDIX5qQLrSxWu320QxQllRydOwLY0pso2qiKzc9TD82IMXcEb9TsNQyRBR0nChcUiN7c6QmTX8VAVMce2e35W2wGRBnIs4AC4u9PhjfN1ZmsOP/fGPNuHfUp5IzP/m+DJoKmiJ/ckveLzCyVypkbR0fGCmNlajgtLFb5/fZ9ayWJxOs/AC9FUBVkWjvqlvEkuEumXlYJBsyNEiAMvpFIwma3aDNwY01BYm8uz3/SYreeYr+f40YeH6LqMpigctT0MTUWWUzw/4MLSPCDOl51hJJzb6w6aKuNYGn/oS4vsHPaplmw+d3EKVZbQNBk/iMlZ2gMTxVO4t9vNzCTSFO5udx6qUR6vk0NPJHSdFKKGo5rkR/U9JpjgswbH1jk3X2S/NWCqZFOwdSxdfdA7DGJ0XSFJUhan85ybK/Ltn2xjGRrfeGvpoevFcYIfxhi6iutHKJLEwA8oOyo/9+YCt3d6APzcm7NZTU9VZJo9LxNhpCmoisLybCGrS93Z7lAricTAatFifrpAq+ujyhLnl8osTue5ca9FwdH53IX6g/vQFBamxBzkBTHVookbhPzowyOSOOX8UomBG2V7izhJ+YU357m11aZatLh2vk4UJwSjZzo2xwNRE1ybL4okJGBlrkAQxmzu97BMlUbbo5jT8YIIXVPQVWVUR/WZruQoOAa7R33iOKWYN/hw40HyWHfgZ2cyQ1MIwmgs5ffuTpfcqL7ohzEr9QK9UcLh8myBuVqOf/n9LUxD4U/8/HmSJM3uY6pigyRqLqW8QTFnsNcYEERCVK6piuAyjK7t+ifrMiLNyQ8ijJHofYIJTmJ7lHCpqdJIBOZ99A+9ZDjqDCmYEl1PzEmFnMxwGGK/hOLQx0FTIHwQrklrJGZ7lfDn//U3kKWUzYM+X7w0zde/uPxJ39Inhgmz7CVEmqb8T79zB4A/8uWVySHjM4DZWo7/27/zFjc2mvy9f3aT7763l/3v2nqNP/1HLk0KHxM8Eq2ex63NNmkq1NwXlsoYugKjlKkoSvjWD7fpDAJaPY/5ep4ojjlsurh+NHJdiZEVwQrbOugjSXBuocTnLwpCxgf3WmwfDnD9iFbPwzJUPrzf4sJSGUVR+KUvLVErWnQHPhz0mSrbdAcB3ZGjn22qDNyQ3aMBv/OjHT7caJACi1N5vvrGPHlLR9cUZkYxfgBHHRdVlbi702U4chMPk5i3r8zy3t0Gew3h2lEtmrx7h1FhNcel5Uo2b37j7Sdb4A9aQ773/r4ovto6X7wy/VDTeHWumDV20zTlw/st7u/1OGgNSdMEL4gJIkGaqZeF+57xGAK3bWqszL5am8AJHo1iTh81AsW7tzST5+c/t4AXxMzVHTb3e+RtUZxMgdfWapijGM+8pXPAyC1fVbi4XMY0VPalIaau8K0f7xAnKQMvolYQDU4kUGWZVs/jsO0yGAqy9upckWbXY7cxFOKKNMELhbDitJDiLOQsjZyl8b9+5y7/6LfvkKQwVbb4T/7cl/D8mLu7HRjNNZ+7WGevMeD+nijGTFVslmfyWTNVPI/8yN9rmxrLJ8aApspsH/UZukIAceUZleInHXjnp5xnJqKehqLITxQhen+vm81PC1MOcy/o90/w6UBvGPDBRoskSUnSlEbHY68hIu9Fgk5IHKUoioRVUlE1hYKUsucq+F4kHGIUAJmpko2qyszVcuRzBnGckCRkRVDH1imNBAVxknBvp8PAi9g56jNby1ErWlxeqZxZgGt1Pf7pH9wnCGJsQ+UbP7OcRbo6psa5BbEeShIvhJx0eaVKHKcMRwQuWZZQz2jWVgrmx+pkpatythc6C4Y+/uymPiFqTfB0uLvT4bDlkqYpza7L9XstjtpDoiRFARo9QZh0cgZRLESCKZAghBx+kJCSMhhEaIrM7c0OfijG0YWlEt1hkFmxrM4XmT7RDM7bGlFsUsgZNDsuUQxHLQ9TV6kUrGcSSkmSJBqucYKqyCxM/3TWwDRN+eB+i24/QJIE0eJJHLonmOBlwGmBwq2tTtYc7PZ9dE0likWiVhynrM6XAHCDBCtOyFk6Qz/CD6KMOOlYOikP1s2pE0ltfhhzd6dDmooxetgS54S+G7I2V+T8yJ1+6If8nV+/Qd8N0VSZr7w+S2uU0hBGydic4PoRuiaeo9HxsU8kf/zg+j63R6mgYZTyxvkHSZiNjoc9Ss/sDMOMoOIFETtHKtOjz8Y6kQiSJCkfbLToDQNkWaJaMDkaCRNypsrt7TbdQYiiSOQtjfao2SnI5Hp2Fjl5TUWRxvY/tqnz9iOSP47naRBnvEeRaiRJeinNGU7vVU7/+2nS7pevfXoTOE7ipGvkx4Fjl+l7ux3+8bfvsXkwQJFhYSrPL3xuno29Pkdtl8OWS5IAEszVc1xarvLh/RbRaBxIktjX/8H7B6TpPooi8daVGUxDYfdoSBDElPMm0xUhTJgZEanCKMnICodNj74Xsn805Ld/tIXvJ7hBBKmoAyqSxFHHJY5FStfSTB7LUHnvdoOdoz66pvD6eo2LSw9S8w5bblYrqBRN1hdKvHVl5ok+G12Tx5wnPy4jhPXFMuuL5Y/+xqeALEuT8/8EnzhaXY9bW6M+gaOPjdXTOE6LeFKYusK93Q53d4Q7bpqm/NJb47X3gRtyY6NJHAuzl9fO1Xjzgph/Wj0PzxfidNtUOb9Y5upa9ZH3oMhSVtO7s93h/n6Pds9nqmJTcgxylsZuY0AYCcLVzmGfg9aQ2ztiH6JpCroqUpHLjslR28tEmXP1HAvTgoDV6Lh0ByKhcGHK4fxiCUmS0DWFtdkiYZhk5468rWEaGm+/NsuNe00293scNIcoioznR3z33T1ACNvevDTFTMVmppqj2fVIEuh7AZLUQ1VkSgWDc/NFZFlG5uFUgI8L9bL9zEmME0zwInFyzD8L5usOOVPjw/sPyJGn974feQ+KfOZY3D0aZP1NiZTDlsvQDVmYyfOVa3N8cK/JYcenP+hTzOtISMxUbXRV4dx8iTfO10fJw02+d/2Ao47LfN0R4q8koZAzqAfC2CoMI+4cDXj/ToMwTun2A9SRmP3eToc7Ox2qRZNayWa6EvPmUp1z80Wu320KIq0icWlZpKK+f+eI7767jxdEeH7E8kyBnhsQxSn397pMV2y2D/qszBbYPOjT6LiYujACVBUZRX5wZnKs8QSnkwLd5dkCy7OF0x/bBE+IJ+0VH7+fp9/Rdt9nY6/Lna02QZhQchQkSZy/e8OQvK2xMJWn4JgUHZ3Ngx6yLGObGoszRS6vVGh2PLYOepimED/c3ukQRAmyJDNdsWn1fDp9n6En3PX/p9+5LXqJpo6uSui1HO/fbRCECa+fq1ByxDuKJOoctZLFTCXHjY0mhy2X+3KP84ulh8yQ8qcSvx+VsnGWiLTT97m52SZJUhxbG+MKTDDBZx1hnHB/v0sQJnh+j3rFwrEe1NJtU8tEj4oicXu7TRRDzw25t9/j8soDnprrR1y/1ySKhInE7a02P7x5QJrC1v6Af+1r61xeE7XANE25udnOjOxO9xtOi8mLOYO5mpPdx82NVmYy643EGjlLI03hqOOxc9gnGIm8L69Wxuo8aSJRGT1TkqRj/UZdlWkPAnKWThgnHLaGbO73iWLxTNqJmqE0SsY6rpGao8Tj7iCkNxT1SGtktAmiLnBsCBnGfa7k9IxbECfpWPrScTrw8XnooDkEHghI8raeGQEhQW8Q0DhOVNYGrM6VWJ0rAaIOeixkVxSJi8sVMVeeKHucrFec5FJUi+ZYqpYiS8Lod2QGdnmlMkkanWAM5bwQlIZRSiTFr6SJSdHWGAYPDHBdP33lBBzAiZRngdnKk9d4XhYctoYU8xY5y0CSZJEy/Rk1yp1I5l5CvH+3yZ3tDroq882fWfmkb2eCjxGXliv8J//7t/n//KWv84ffWkJVJN65dcT/9W9+i//Hf/l73B0VoCeY4CR2DvtZ4exYOLE0nadetsjbwo3b9WP6g5AwTPhwo4Xrx0iyRBQnOJaGpSuYuipEGIhC3PYo+hDg4kqZK2tVJEk0JI9jhXsjJacsS1xYLjNVsVhfLHHlXIXZeo6pis3KTAHLUNkZqcxvbrZIEarc3cYARRGx44amcG29xtp8kelKjrX5Io4posRVRSZJ4Q/e2ydOUhxLxzZFJHB3EGQHmP4wpNP3n+hzS9MHm7LNvV6WHtAbBtzZ7jw4FJ2B3jDMYpVFPKFEMW+wNJPn3EIJy1Cpl62nbr6cvKcn+e8TvDxYnMlTyhuoikTe1liddnj/jjjgJqk49/aGIXGSZi4zni8ahV+4MsPKXIFq0eILl6eYrTnsHA5IU9jY7XLY9jKn2ft7XWaqNm9dmaFSMImTlNoo6v6w5dIb+DiWjmOpWIaCY2romkwhp39kEsfJ9+y3frDN8bcftFx+7yd7qKpEfjT28rZOGCVsHTyYJw6aQ8Io4eJymaKjU3R0Li6Xn/j9jeKEYs7AMsT1Vfnpt6lxnGRFBxDz2OPG8pPiSa8RxUkm4ADYOuxPxu8EY9gdubklacJeY8DQFc76mqrQH/hISMhSSpokVAsWmiJRKdpoI8dbWZKIY9GEjNOUtfki0misKIrMhaUyBUdEBX/ltZlsL1ApWCSpcGMWLsyi6dLsPrxmpmnKjXtNglG07tCPuLnZzr6+Nl+kUjQp5HTWF0uPdaV+GqwvlijlDUE0WS5n6VYvM8p5k6WZPHlbZ7pqZwXmCSZ4EvhhnBGD3SDihx8cEkYJjq3j+RF+lLI0nSdnaZRyOpYhmrASookRJQlpkuK5PkgpqipS5L71w20Azi9VeG2tSrVocWmlwtXV6tia9HOfX2CunsPUFVZmiwRhTJyI+eHk+v40SJOUfE7HMlSKjs5PawnsDoLMler0uWWCCV521MsWc/Ucjq1RLZlj7m7fu7FPMBJiDb2INAXbVMlZGn03yJp8g2GYmSU4tsbXv7DAhcUS9bLFN95e4tKJ5qqqSOLMbyjIkpg/dFXG0lUMXaZSMMnbInWv74rzfRgl/LM/uA+QiU7LBdFUnK7YBKP0vzQVItQ4Ef889IJMwAHw7u2j7J9dP8oajcfmEccwdZX1xRKFnE6lKBy5j9EZ+Jnja5KkvHvniDSFJEn4cLPNYdsjTVPiOGW3McSxNWxTZXm2wNW1KuW8wfpiiW++vXJin1F5SGh+/DwnEZyYp4Fnnhs/ScxWc8xUbfK2zsK087EkmU3waLx3u0FvKFwRU8Q4Lzomi9N5VFWmXrKYqljomsxC3WG/OSCMYmaqNoYuY2gKcZLg+iFJmhLFKd97f5+DlsfyTIGcJdzmf/aNWRamcli6wr/y8+eYqdpcWq5w9VyVJE3JWzqqKvOTmw0aHeGsf9gasnM4YOdwkJEg40TsRXaPBhy2h6Qp+EHM1n6PgfvA2W37sJc1+5sdj6H35K5vpq6yvvBg/K/OTQiAE0zwPNg+2Sfoiz7B4/A0Nav5qXzmEltyDPYaQ3oDf+wax4QlOLX2AzuHAyoFUUtIU1FTf5yI5Pi6nh+JtOuSRcHRcb2IlbkCX7k2x1TZRlcllqYKRDFsHwzQVAXTUMlZKtNVmwtLoq9xYakkRHz1HD/z2iwLdZGQqo1Shhodl3bPH5vfHnXu2BuZcAzckP4w5Kjl8qObh4RxQm8Q4IUxm3td+sMQPxCE14tLJaYqNilwaaWKqQkRygQTTPDiUBr16I7PLS/C3CkIYw6aw1F/RsENYgo5HUNXRK/EUFmaKaArMjlbY3WuyMK0gyrLXFgu8/o5cTbbOxLzY6MjBG2dvphv/CDGsTXm6jlqRZMwSqnkNfpuRBKnJAl8991d7u91SVLQVYVW1ydv6RwfaRodL3PQFuciMbcctl3M45Q2RWboR6iKws5hH1URjut7jSEHTRfHEkT/StEkZ2pcWC6PEeCLjsFXrs1RK1nMTzl85drZIvgJPl7EcYKlK/RHpgdFRychJU2gXjLRRsm9x31LyxBk4pmqEFXM1XOszOZRNRlZlpgu2wzckCBMqI7MlKxRuo0kARIoMnT6HkctYRTpBjFHbdFzsE0VL0ge1AXS4x5dQqfvixRyxNn+rFre+kKZq2sVqkWL84slrq0/eULUcd8FBFeg/YRcgQkm+Cyg0XYxNRVDE3wgTZGoly2c0bp17VyNUt4gn9OYKluZcIIU3r3dGLvWXmOQJeb4QczGXg9VFvNMSsr1e+3se/tuSLv3gHs0cEMWp8U6PVO1HzLX+Lk355ivO9SKJl+8VH9wH8APPzgYm0Pev9skCMV9hFEyVr8DYRyZs0SNsJATSSSFnE65YFDKG7heRJIkxHHK+6NEq+NncmxRn3AslbWReeZx3fD2VidLPE1T0dt97VyVSsHk/GKJctEgjsX3ul5Eo/vgPKTIEhdP9HDPL5bG7vm4Zpy3debqOd68UBd/J0tjba6YCUlAcDKCMM7OTM2ul6WcxnHK7tGja5hxIuq5x8/U6HicmyuStzWqRRNnlM4Cwix4b3JmmeAUbFPn6lqVkqMzVbZ4be3VS3TcPeoJI50R4ijlqDV89A+8pDhd0bm+0ftE7uN58P7dRrau9IbBGCfls4bPpnTlJcc/+pZI4fjaFxYp5F49ldQEz4/F6Tx/8U99jn/rGxf5u7/5Ib/5+/f5wQcH/OjmIX/8q2v829+8iG2+eirACV4s4kQIIj7caBMlCfN1B3VUjFEUOUuN2Njt8Hvv7nLYGRJFCbapoUgS7a5Pu+8JgsNMnmrBxA0eSDVPE6izVI6NJre3O5Qcg9fOPSCH3N/r8sMPDpFl4UD55deEgCFNUzb3+2we9Bi6IUkiUis0VcYxNS4ulBm4Ibe22sRJyspcgbmaw3t3GthGn+v3msI1FOH2LcuCrGLqDjtHAw7bLpIksVB3UFX5I501Wl2P29sd0lREQs5Uc6iqjCRJ2UFHU4UT4KNwnLYAQsAyP+VQL42cAiS4slZ9KlJrdxBwa1P8HedquTG3/92jAVsHPWRZ4ty8ILhO8PJBlkQx1BrNzT+522K7IdIvKgUTTZWZrebIWdpY7LQiy+iqzFffmB+7Xhgl3N5us99y8cMICW1E/BbOF7PVHIvTefwwIggToijhnduHvH+3wfZhj+WZIkM3ZLcxIAgT9ptDJI7Ybw45N18cc6t2/YgPN1r4YUylaHJuvoh+ygE/n9NRVeVBQo0k3n1FlrLCqDT6b7amcXG5QhglfHi/xcANKeR0zi+VH5sGoijymOOE/gyO9pIkIZ+4J0WWnstt57gg0+x6GLrCxSWRkvI0v/9RjocTfDYxdEO+/ZNd/CBCVyXCWKQ4+cOQJBXFR1kSQsdiXqfdE4LJKE3EuyQlSEhIEqzMFJgq26gn3vG8rXNhscytrTbv32thGSoXl8v0hwHX7zXYPuwThDErI3e0k+tZq+dxe0usjyfnKWDMpUZTFdYXSi/8szF1lQtLL9YN9+PAx+3kPMGnB7IkZS6GiiShaQqdni9ixZMUx9TE/ODHlAuCiOBHCb4fEScpwcjpJk0hDSOiKCFJJbpDIXBWZIk3L0zx5gUxt9zaEq5XlqFyYblMwdb5+heXOGy5fLDRZLD7QJz9rCIqbURAPcZPS4x1+rqvguhrggmOEScp3UFAfxgSRQkp4qwLYo2VR+dwWZbI2RrFnDj/tXoPmn6yLI3tm3OWxr/7ry6e+fuSVAgy4yQljhPCSPwvSUVTrzPwhdD81DCKTwgmZqo2i9MFTF0V++PtNrtHIklsumzz/sjp7XQSpXbiTKzI0pir28k9CAhh5LHr30mcHt+uH/GtH29nIvfj51EVce46FlQmacJBa0ir5xMlKa+tVR+5zzhsudzb7SBJEiuzBWqjeUyWpTG32SdJNnzZIEkSSzMTUvzLAlWVUVUJM1UAhXLBpFI00FSF84slWl2fJE1xvZgb91vc2epw2B6iqwpRnLI4laPg62wdCPGU6wln+A82miNXeYdK3uS3f7jDP/2DTS4slfjmW8v8O3/sKgDfeXcX14s4bLt0BgGKBHEcE0TCMb/gGExXbExdZX7KYa854MZGi3bPy0jZALIsj6XZKIoMI/IEEmcm/T0O5YI5SdSaYIIXhKfZJ9/Z7nDUdjE0hfNLpY/sNymyRK1k4QcxQRSz1+jzT757H11XWJrKc+EMM4bj9T6OEzZ2O9zYaCEh+l8nk8NOY68xYHO/hyRJLE47Ym5BYqaSw9AVpso2ra4n6vqKLIQYqoQsgaHJFHM6pq6wvlAmSVP2GwMURWZpJk8QJvhBxPsbTTb3erS6HikiGcgPYi6tPEgGftTnqShSZtJzXAvUVQUIkWSxd9AVsQ8SInfx2dbKNp2+nzkOT84xE0zw4vGi63SyLNHue+weDWl1fYqOTqvrcdgLSIGrq1UWp/MUHYO9xgBNlVmeKQiDuxPpFFGScHe3w8Zul92jIeW8wfyUw+pcHteLGHghYZSgyBK2qWMaijiHSKCNksvkUUpQ0TFo9kQS2r3dLtfW6+P3DLx3p8HdnS77rSFJkpAioWuyMACzNRodPzO2K+Z1lqZEXxYJLq9W0NSHezOrc8Ws7zzBJ4tm1xuZESYcdUQdMYpTTF2imDNIEc7xbhAJM6hRercXRIRxgqoqWKbCYcvlRzeP8PyQg9aQm5ttgjDGMtQszXdlrsDOwQDXj7m32yGKEuIkFeufBLIElYKFZaqQirXtZE/ug40mP7l9BKlIDdV1hd2jAZYhjBqPz6snexOfu1h/6nGsnKoxvIrn9wkm+GlB1xTyOZ1j9oksK3T7AX4YY2g+iiK4KmmaYmjyWP1OUx9/vrAMhSB6cI7In+A3nh6HiiIxW8s94BqcQpykFB2DKNFQFWWsJnf6Pk7zGE7/LstQMzGnJAmh53G976g95Me3Dml2PCxD4epadexn+27Au3caBGHMufkA14/YPRLk7krBGEulkJHQDJVaScyDcZRyb7dDECY4tsa5hfF107F1Li1XOAuSJI1xhIaeMK8NwgRzEDzEydhtDNhvDlFkSaRpnMDjzhkSgii92xggITFbs+m7AT03RAtiyqe4SJMzywSnoY44PUuzBRRZQtNevXfENs1xAYQkzuuvOqYqr94z6KfOHS/KPPRVxKs3kj7l2D7s83vv7ADwK19d/YTvZoJPGlNlm//Tv/kmf/s//kP87LU5kiTlH/72bf6P/+m/4Ce3jj76AhN8qnHYGtLtB9TLFhLicDU/5eCccrDK5wzKeYNizsCxdVbmC9imhjxqvBiaSs8NWZjO89paFVWVsU2VlbPc70YFGGVE7jo2pw+CiB98IKIS41g4aORt4eyXszSCMKY6IrLPVHNYuoqlK1xZq2JaOnd3OqIhnMLWfh8/jFmdKzBdzXHtfJVKwaBcMPnlr6ygKjJr80WGfkQQxlxaLosow4HPbC33UPzqadzd6ZIkgvB2f69HGMWsL5RYnStgGgqLU3kur1QeS7y2TU246Yw+q595bRbLUNFUmZWZwlNvLO7tdoTCPxWuZMeuOUEYs7nfyz7XSRrPywtpRFSQSAnDGFKJasmi7wajqMkq6wsl5mo5LiyVhctm2aJWOpuoIAGaIqKKF+sOuq6gqjJvnK9BKsQ9Qy/k3EIJ01DYaw6QJTEu6+UcnZ6PaaiszReQZUHoTBEkzjun3qPN/R5+KARczY5Hu+fzp795iVLeQNcUvnh5ms9dnGZtrjj2nh875hq6iPNemy+OHeR3j/qZe113EIxiQB8N4fbkZPPGyjOQjWRZ4txCEV0TLqXPSzRvdr2smeEH8Ue67yqyJEQwmoyh/3SI7hO82jhoDyEV5Oo0lSjnzdGaKlEuGKiyEHc5toYkSeRMDVWRqRWEI6+mKFmRsOQIUvdpYdHRyD0SBNFx+7BPili/ywUD29BQVYXpqj1Gljq5PuYsjVrJQlcV5qccLj+iqDjBBBM8O47XTk2VKeYNvvHWIl4QoSoys7UcXhATBDEFR8exdabKOUqOjqHJaKP9uCyJApckSaSJRDGnsTpf5Kgz7jx1el7YOeF2VyuZzE85o320zsKU88wu2NPVnJjLFOHuP/1TKhjmrPG9+ElixAQTvOzYawwy5zgviLmwWMIyFGxL4498eXmU7ifOzW+er6OpMqah8NaVaQo5ccZenM5zda2KpspYpvr4MXviDO/YOiVHXMMy1JGwQ5zDZ6s51uYLGLrCTNVmfaGc/ZwsSWPOVOLcIUTsnYHPcLTn94OI80sPnudnr81lP6NrCiuzBXHPhsrafOmJPq9j97njM0KaimeSJEm4jprifGIbGq+dq2bnlThOaY7cv3uDgHceUUNLEtFcTUdi2rs7nczc4bj2oKmjvf0ph7wJJnhavH11hs9dnMI2VOoliz/y9jIXFiuU8gbz9TwpKflRmsyNu01kScIPYlo9n1LeQJYkLq1UePNCDSkVxgezFQddVfCDWAiz+gEDT4jENnZ7XN9oZb//zQt1KkWxxy87gsBg6CpxmqJrMiVHnDNMQ8EPY2xDRVVkSo6ZpdzUSxZXVitjpIXTtYLPcrNtggk+aazMilQeVZVZmHLIWWcLM9o9n6O2ODP44UfXu47x1TfmsC0N14+Yqzu4fkSn59Pqe2zu95ivOxRGe4162aIyqjnst4b4gdhMRElKECUMR/Xv0wijmPt7vWxt3j4csDpbzPZE50a1toEbYZsq5byBLEtMlWw+f2ma5ZkCtqmyOl/E1BX6w5AwEXX3g9aQJElp9QI293oYuowbxPTdAGfUw2ifEM4+6tyxMJWnXrJGJDSR9vGLX1xgumxRr9jM13OcXyyyMlvgzfP1rN45U83x2loNVRWpyQtTkzTPCSZ42ZGmIyMuTaZaNElTkcadz+mQCqLnTNWmXDCYreWYq4l58HQKiJSKfo/rR8iySDPwgpihF6MqMr2BSFs8v1wmTCQuLpbEnGpr/ImfO8eXrsyIxI6aw3w9R6vjU8wZuH7M7Z029bIl5hZHR5IlBm5IKSfSznVVpewYLM/kmavnuLBYouTopAjy/cpMgZ4rDEHW5opnCjgmeLkgBByijt/susxUchRyBpomM1Wxma3kRCqnrWEZKqoqEScpmqagyOKM0R+GdHo+pNDuBRx1vKxuYJsquq5QL1t8/uI0X7k2y9psgbylU7B1Zio5FmfylPMml1aqfPm1WeZrDtWiyfxUjreuzqCp4n0fuGFGBj9quzQ7HpqiUC/Z7DWGWQ/xrN7902BppoBjiz3Qk3AFJpjgs4Srq1Xm66J2MFfPUbD1jBfQ6Hi8e7uRjb+jts+b63WROGXrfPn1ubFrzdVyonapinXxz/3KVYqOjq6J2uXnLk5n32ubGksz+Wwv/VFCwHu73Ywvc9j2+NyFqazG+PUvLo3VBz93cYpKwcz6ntOnhF+P4y+0ez5+EAtTxlSIR47rsbWSxZ2tNkEQQwq3Ntv0hgGqLKHKEpahsjD94JkcW8uS+4RpxlDUU5VnN8o6xuZ+L0sbOWq71MsWhq6gazLz9Rz7jSEcm/T0A6Yq9hOfM2T5QVJTEMbsja4VRgkDL6RaFJ9tKW8w9wjRzQSfXaRpOsYZfBV1k5alj4nOCo5BFJ1do3iZcXrbbuqvXpbDGxemqI+EvitzBdYXHr9WfJrx6v31PuX4u7/5IUkKX7oyPXEzmCDDTDXHf/zvfInvXd/nb//9d9hvDvm//+3f5U9+bZ0//UcuP6Q8nuCzBV1TWJopPDIeOE3TkdufQiGn88b6FMWcTrvnMfAiFEVicTqfzTkz1Rz3drv85PYRvUGArsmkScJOw+WwOcSxNS6tVFBkOZO/J4ho884gYOiFGJrCW1dmuLZeozcQkVdJmtLoeqQJnF8qUcgZqLLEjXst+sOQvcaQJE2oFi3S9NiJXGJ5pshivUAYJ+w3XaI4ZXWuyJXVKrmRQ1ghZ2AZCu2+T6fvszxbeGQce3oqVCwYNapylsZXrs1lzp0fhbmaM/a91eKj3cM+CqeT649JI6fjz5484H6Cjxtpmo5IDClxGgIpqiyxMlfk3/jFdfTHbJjDKOHuTgfXj0Qcdd0hjBOOOq4gYoyKq0kSs9vo0+h6VEdN0Lytc229TpKkDEcxmaYuUyuJqONmxxPO/kgwan7uNQaiqJE3HnJlbfV83rvToFay+H/+e1/G0ES89o9vHmLqCpdWymiqwu+/v8e33tmh5Oh89drcmc938n3tuyE3Npo0u17WUD5qu+wc9QU5aq6IaajM1R3mniHmPE1T7u126Q6C7DM5K4EjihPubIvPulIwWZzOn3G1x/yeJxiFExfRCR4HWZIztxdBpO7R6Xn0R82KcsFipmIxcIX7Vbcf4voRtqFQK1kUHTFuLV0lZ2t8591dNEXmZ16fzdah02vKMabKNlMjF4lywWD51PhPT/ygpip8/Ysz6I8hYDW7HlsHPRRZZnWu8JGunduHfY7aLpYhirWT/esEE4j94/HYTZKEq2tH7B4NaPVcmn2foq2jKqKpUnAM3jw/xfZBj93GgFbXI0pSoiRGkSQKORF/ftga8pt/cJ+CreP5EbIiSJnOCQLXyXlCkqQX5qaoyBLnFz+eRJ3Te/EJJnhVkCQpe80BrhdhmSrn5ktcWK4gAdWCNWbK8OObB9lan39rKUvCE/8vGoLHIotHQZIYObWJ71tbKGGP3KB3Dnts7veIk4RKweIPfWmJoScIkb/53fsiSTNNCeMEceonE3sezxlHbVckZ45uQZEkVEVBlh92alNkSThXj0Roj0J/GPC77+ww8CLOLxR5fb2eOdHd2mpnjlJDL2RltkBplOBRyhvZHPTenQbQHfvcz0IKHLZdbo9ius8vl8ee5+Q8PcEEzwtVEQmdxw5jH2622djvsjxXoNP38PxYEKNyOnuNAd1hQBiJNNtGx0WRBSHprcvX+M//+x+wtd+nPfAp58XefraWy4SaggTt8c//YIPN/S6rcyWWZwt8+fVZrq5WszqEY2tCWCYJ0WdvGPDauRqL03lu3m8DYjwYusrSjE29ZD3kipuzNF5fr73wz+tpzxsTTDABmIb6kJPsWThd30oeVUg4hdmaw5/82jrv322wezRg92ggrnfCIffSciWr+V2/12RtrihEpaqc1SQKtsbmfo9/8f3N0Xpe5OfemGO/5fL9G/tsHfRZnS1gGSqtns/QCzloDkVqaU6cbVLSzJW+lDd540ItS7w4xu3tNpv7PfabQ5HWIcuEUUJ/KJyGu/0QP4gwdZXpioNtqtknczxP9ochrh+i2DrX7zWz/VivH9AbBtRLNm9eqJOzNC4uVWh2RfL52lwxSyZ61nrnBBNM8DIgzVIQuwOfrYM+tqVTcoxRCpDoz35k+p0k6i+qLNIwamWbnKkhkSLLEkEYcdAe0umLtI8vXZ5jfbFEkqZs7feRZYlf/soqOUvMn4ctl2ZX9I/6bsjaXIkrK2X+1+9s8MFGE1VRWJlxkGVplIbUo9n1eW2twuvrdXKWzuZBD1NTRS9WkrOz2gSvFgxN5dxCUSRPSlArmOw2hqNzPNTLFn4Y88H9ZtZDjMKY6/caBFHCxm6XasnioDlg6MVIwIXFEitzKjuHfX7j9+7x5sU6f/RnV7l2/kHqy2wtR97WRXKWLPGlqzNjtUcQRm+b+z2iOKXd94Qz/nQeS1dpdFy6gwBdV7i6Wh1rKLp+yLu3G6iqzNJ0nrwtzCD7bkhxJEg6bcRoaApXVj96DzTBBJ9FKIrEylyBStEkb+sMvIDtgz5BFFN0DGQJDppDkhRqJYulmTwXKaPIMnlbO3UteSzp1g9j/uwfu4ofxmcm6MgjEztFlnlM+VLg1JFkdb7IlRNnm92jQVZbVGTpsWYrx8aXiZQ+tLYlI3MYERosrnXymX704QFHHZc4TshZGpoqc9gSAvhCXhf3MKrNpqQctIQgzdRV8iODPpHCLtHsenz3vT2CMOa1tSrrp3onu0cDDlpD2j0P29IYuhGFnE4pbzxUy8xZWlYfdf2IrYPB2Ge3Mlt4YrOrk7VdN4jGkqJByoTzE0xwFlLEGDvm872qkEmz915+RZl4iiwRjdKTJUT636sGQxuZeHvRyKTjs8sf+ew++UuInaM+//IHWwD8b79x8RO+mwleRnzx8jR/41d/kT/81hJpCv/jv7jFf/Q3fpvtwydzSprg04V6ycrctAxdYeYRKui+K5ocfhDRHQTsNwaU88IRK4oT4jjNCKUgnEGP2i73d7ts7vd5/26T79845M52h6EfctT2uLfTpVZ6QDDRVIVCzmDohvSHIZau0e6JgmYpb1DKG9zZ6tDp+UgSbB/0uTcirfeHAXuNAV4YiTjzMEaRJe7sdGh3fTZ2u1zfaLK532Njr0uj47HbGIx+vzb6/TJ9N8T1IoZexM0RAeMsrMwWskPi/JTDbmNIpx8Il/39Pr1h8AL+Ok+HpZl8doCcrtpZY9rQlCxSUpJgeebpCOcTfHyo5E3hZJuApSvCGV+CN9ZrjxVwgHBSOHZ92D7o0+n77Db69AYhR22XmyOXh0bH4/rdFmEoSBwniw6XVoR7Z5qmDNyI2UoO34/ZORoQxQmmoYAk0ei62KaKHwhXhUbHzdzg/CBi6IVoqkx3EHBvp0N3ELB10McPYjr9gPt7PW5ttfhwo8XQDdk5HPCDDw/PfK7Zag7TUIiThGbHxdQVBm7Ira02fhhzZ6eD5wvHn9vbz5cys98cctgSTYujtstec3Dm920d9LPPevdIEGAfh3LepOAcz3PymUK5CSZ4Grx5oYauj4QRacphx6Pnhrh+jB/EDNyAo7aHosh4fkxn4OMFMb1hyNAVJK7t/T6GJtPoePSHIa2ez7dHSX7A2PpoaAqz1dwTvcun18fHCTjCKOb2VhvPjxm4Ibe3Hj+GO32f7dFc0u75bO73nuZjm2CCzwRkWSZvaXQGPs2ujwQMvJCdoz5RFBOGMc2uR6vv03Mj4Uwbp+J/SQppSm8YiLU/Snjn5iHv323SHhEgh54Qi+maPHFPmmCCTxCSJOH5sSBmexGb+73sHPvhiXNstx/wT76zQXcQ0Oh6/N3f/DDbx97f6/KT24fZXvp00t5JJGmKF4jfJ0vi3AKCSFnKmyL1J0xodF0OmmI/3er6bB+KtD4/TGh2vSyFU5YlQVCSAAmuna9hW+K8o6gyH2y06A0DOv2Ab/1oK7uPMIq5s915sHd4zP7/O+/ucdhyGbohP755xF7jwd7+CxenUBSxYbm0UmFp1Jw8vb85v1SmUhTPahvqIwnmEik7h32GQcQwiNg+6DOxT5jgp4XvvLvLQXPI5l6PH9zY5+5Om43dHr/9/S0+vN/G1BXuH/Rwg4iF6TxRnIzGcIQXRAzdkM39Hr/9oy38MMbzI+Hg7EfIksTybIHX1+tYhkKz66OpEl6Q8N7dJvuNAbc2WyxM5VEVWaRmzBWYqdjYpoo2On/kbZ3dowHpyIkSoNnzMXQlS6fs9P2f+mf1tOeNCSaY4OlQcoxsjKuKzOLU09WcF6fzFB2dnKXh2BpFx8jcXr0geqjmN1WxmZ/KoakymiZjWxr397rc3+tx1Pa4udniO+/t84MbB/SHIbIk8eH9Nht7PYqOzvfe3+PuTpfeMODbP9khCITo9FjsJssSnf7DNf3+MCROUyxDYb81pJDTs4QtQ1PouyGWqaKqMoetIYvTDrMj8tlxvXZzv8vdnS5b+z3eu9Og2fW4frfJ9z8U93p3t8P7dxs0Oi67R4NsL7U16dlNMMGnApqqsDDlEEYJ+80hC1MOZceg1fNQFIkvXJx64mv5QUytbMKIMDZTzVErWXhBTHMkWGt0XPYbQ1xPmGJ9eL+dpRncGp0Xi6PEI9eP6A1DLFOh3fP59W9v8MFGiyQVYvuf3GniByKludXz6A18fnTziHdvH+EFMbapEUYJB60hpqGQpnB7q00YvXrkr88almdEHV+SJK6drwnRoCT++9yUg2NplAsmpq6iqwr7jeFovy/OvDuNIUMvwg9iNvZ7bO536fQD8U65IfcPenz7nV12G0O2j/p8+50dCjkdyxRnf8tQqZdMbm2dfD9bD93nbM1haSZPp+8TxSlL03mSJKXd82l0PCxTJQhitg56LM/ms96EHyaEUYI76vdvH/VpdDz8IOZg1AucYIIJnhyne+iNtocXRmKc+YLA74UxQRgz9ELu7T5Z/Q7g7ohL4AcxG7vdrAcBQmhwb6eL58f0hgH3drqPuRIszY7zZU4mgPaGAZv7PfwgpjviKzwOtzbbDFxhknd7qyMSPkYoFwwUGaJRX6V2yrylXraI4pQoTtEUiXbfz+qGGztd7u108APxTNuHA1w/GhlwiM/SH9Vh/SDi+9f3aY56ud95b4/+CR7S8TMdtoZs7ve5flfwoXYO+xy2XAxdyQxyygWD0omEIctQma4KgbwsSyzNPvl5TpYllqbzWW330nIlE9sfm/9OMMHjoMgSrh9mxjOvoG4A1w3oDENGod+0BwGq+urlIEgn2hgpMFWyP7F7eVZsHfZpdf0x/tpnFa/eG/gpxn/3Tz4gSVK+eHn6Y3OvnODVg2Wo/MU/9Tm+eHmav/k//IjbWx3+g//sX/Ln//Vr/OIXFh9yHpjg5Uaapmwf9hl6EaW8kW2QnwSKInN1TbjnqYrE1kGP3/3xLrIMX/vCYtbM7Q58qkWLJEmRpFEjdFuIMFZnC7h+TKfvc9AaMlW2M3eOKE5JUiHyCOOUNE1RZIXpis1U2SJOhKP9wpSDJEmszBZwLI3D9hBZljhoDekNA/K2xoWlMvd2uyMyh49lqNimijdy/xi4IQXHwDYVcpZGFKeEUUKcJPiBIKwZmpK5dodRgiJLXBm5B0LKDz84ZOiFmTuXqStUCuZDqv9q0RJOnWmKosjcuNcc+3oQPl1E64tAOW/y+YsGySh67iQWp/PM1nJIr7iS+dOOVJK4uFSmOwwwNJmpssUb56cwDZUP77co5PQzHSiAh2KBwyghjlLCJGHoRSRpSm8QEEYxoSwz9EJqJStTVYOIxvuVr67RH4a8e/sQWZazezEMlWLewLFVwijFOEHMDqOEalHjcxfqNDveWDEmiJKxe4vihI297ojMFYtm59Djf/7WHb5//YA//PYiF5Yq2ffrmsLr52oi8eeEYjqMEqIoGeNGPW008sOf4YPToR/G3N7qMPQiFuqOENQ84vd8VENCliUuLVeyeXayxk7wvKgULN6+Mk1vGHJ3p8PNrQ59NSCKBEErCGM6fQ9VkSg6BoNjB+wwIU5lkiRBlSUURabREc7XSZrSGWjsHArh5M7hAFNXWZ4pYJtq9t5+1Lt8en18HKI4HXPy/6ixdPrrzzvmJ5jg04YkSdk86BGnKSuzBeI4oTsMkABdVSgXLBRZEC4lSSIMY+JUuEjJpCgyyIoQaHf7PqamEkYJ6SgOXJck5uoOq3PFyXo2wQSfMNIT4xxEI3XnqC+SOIomP7ixT7PrY+oyrh/THvjIkJElAOJRI/EYj1uHFVnCsTTCOKHgGCzPCjd7VZH47rt7+EFEFCcUVZ1WzyOKEnRdQVGUzN1NliU294UbvmNrzNUcYQQx2jPIkkS7H2Ab455VXvBgvT+ekx51z1v7PW5stDANhb4b0O77xHGKbam4/oMo85laji9dmcHzoxGB1Dhzf6OrMr/8lVWGXoSpy490cIqiBFNXM8KmLEkkCfy0DZ/SNGX3aJA5iU5XXr0GywRPh73GgPt7PbxAnKeP32tVUUjSFFkWRg2GpjBdtpmfylMtmLx/t8nGXocoSthp9HF/EmKZGoNhiGWpmKbK+YUi55dKzFZzFJcNXj9X5R/89m08L2KvOcR1I/7g/T10TSFvaVxbr4EkiNtRnCBJEh/eb9IdGZy8d+eIncMeP/vGPGvzRWEsMXhANDgev3uNAd1BkM0LLxJPe954lRFGQhwTxQmz1dxYItMEE5yFRscVxEdDZb7uPJNruiQJt9koToSD5lNeI2/rfP7iNG9emCJNydbhRsdl60CQjhRF4rA5ZOCFNLsul5YrvLYmRJX7zSHffmcHP4gJohgk6Lt+Rq4q5HSknCBvFXIGQSRqpAM3IIgS0cMIY0qOQTlvoqny2DyRJKLnsrnfo5I3mK3kaHY94gQWZxxmKjniOOXmZhtFBiSJhWmHn3ltNttPHNctBr4gUkuSqJvMVG3COM72cqRkgtmT+DTPWxNM8KrieG44Tuk+aW73OMzVHfK2lqUiXlkTZlpfuDSNqsrc2mpxb6dHwdH5/IUpGl2PTt/HsbSstyfLEqtzBYZDi0bL5ajjcmWtgmlonFsosn3YozcIRO8liLm700PVxN5wqmyja0rWu42TlGvrdebqDvf3urhuxGHbpTcUQltZkig5OqoiM1WxafU8XF+I7FRVwQsipio5JAniOKHdD6iNCF9pKv7bJEH55UN/GPCDDw5odl1mqw6zdYe5qo2qKtma5IfCrDBna/zC5xcwdYWjtss7tw/ZPRqQpFCwdSTJxwvEZtvUFaIoRddkDF0mTR9wBEgFwTmMEu5stXGDGF2TqRZN9psuW/s9LFOlnDcfWvfiJGX7oMdMNcebF1MMVcnO5ZUpk3xOy/qGQRhnvYk0SYRx3OgskCQpfnCqrxc/+RrrBRHfu76P58dcXq1MjNom+Ezi9PhMgbW5Ikmaosgy7b6HY2kkiZgT4hhk9eyf/ahrn/z3s7727Z9sc2ery1TF5hc/P89e083W5aJjUM6LOl+lYI79bHTqWkEU85Nbh+w3XeplizdOJAXB+DyRJClxkqI+8NdjppojicHJqejaOG02b+ucXygSRAklx2Bjr5vVDcMwpjcIGXghiiJjGwrFnEFX8smZGooEq3MFkkTUTN+720A77remYk46PvOHUcJ+Y8DtnQ6eH1EpmtiGlt27piq8eaF+Jn8IhHBvvu6ceZ5L05SdowEDN6TkGFmq8TFmqjnqJQtO8I+WZvLPdDac4LOHMEqYrTlMJaKmqGmv3r5x6HljXKU0haPWkNpT8DVfBmi6gheJGrOmCo7mq4YgjDnquARBTM7SPtO1lFdvJD0DgiDgr/7Vv8o3vvEN/tgf+2P86q/+6id9Sw/hg40m//L7wqHuT3/z0id8NxO8CvjKtTn+i//LL/L6uRpeEPPX/7sf8p/9tz8YUzdP8PJj92jAzuGAds/n3k73mdzsNFUmDBP+x39xi4094Qz13/zP77PXGGZOnYamCJKXLKHrwoU/ihJu73Ro931URebeTpdWz6NeslAUiUrBxNJVaiWTxakcpq7g2DqKKiMrMq2un6UEaKpMvWxRyhuYo9SBTj9AkSVub4uI06myxdCLkGV55CYIvh+x3xjSHYjYxkbHp9P30VSZ2WoORZYYuCG6KguiSpSgKBJTZWvs+TVVoZQ32D4ccNgSz/3BRov7e70zHTmUEQEWRDPomOthmeqYiv3jhIiTPHtZVhV5IuB4yVErmUJwkaQcNF1UVWHzoM93392j1fVGznJnq4ZnqrkH76ChUsobhFFMp+eTpiKdJo5T+p5w3W71fD7cbCHx8AbWsTVmj4uQKYCE50fc2mwLJzuZzMnW0BSqI3daSZIoF8zMvR8J5mo5So6REcb2m0MkJBxTZTAMiJOUH99q0B+GbOx1+Tv/y3UGXjR2P5IkSGPHLrggrmubapYKAMKR53lQL1moqkyaptnzNTseH9wfd/+ZruSy4oOhK5RPFYEehWPS7AQTPC82D3rsN12GXkTRNshZKoaukkImYPSDmIPWkDCKsQwhwpAkCMOI7jCk6wbc2Ghy2HLZORqIdS6Fjf0ev/fOLs2ux1Hb5d5u96H39qPe5ZPr4+NwPFcdY/YjXP1LeSNzzZEkHilqm2CCzyp2jvrsN4bYpkoQxqiKBKlEmop48CCM0RSZKE5pdlyCMCGKR0TuRHg4docBB003c4d0bI18TsfQFfK2ztJMfrKeTTDBS4B62RbnO0VGG53T+8OQ3jDk5maH9+822WsMuLXVEWQbL2LgRTiWlu1jC44+Rpiefcy6GkUp3UGA60U0u97o/Czmgs2DHodtl1bPZ3O/L5zh3JBW12d9sZjVEKYqNr1BKNI29/vsN4fZnuGgOWTroE9/GHDQ8igXHuwPLi4/MKg5vXc4mQjUHwb8zo+32WsMuLfTZeewj+uFeIFwBj3piHd3p0Oz42UJnEEYP3Zus031sRHcuq6yNl/MIuDXF0uoHwNhaX/0ubV7In30oxICJ3i1cdR2ub/Xo1qy6A19XD/EMNQsIXd9oUgKDNwQWYIoScjn9EwIFYYJu40h7ZGz+35zQH/kPp+mKTO1HIWcQX5EBDB0lTfXp1BUGU2RaPV8Gl2Pdj/gn39/i52jflZ/Oq43zdfzKIrMuyOX+c4g5J99b5MkTpirPVyzaHTEM52cF14knva88Srj1maHw5ZLq+vzwf3WmEPoBBOcRm8YcHurQ7vns3s0eO6EdlWRn5mkc1zLPl6H+6N78/yIVtfjxt0Gt7baHDRd3rvT4Pff38cPY3RNoV6yKBcMISYdCT3n6w7zdUfMNxKsLhRZnBaJW7WSRacvehEDN+T33t1lrzkUSYU9D1WVBQlphO3DPrtHAzRVZq8x5IP7TaI4YegGfHi/TZzAlbUqhZyOLItkjtfWamP7ieO6xd3tLq2ej+tFbOx2iOOEetlmevR121RZnS1QLZqZcY4sSxOB5gQTvITYORJzQ7vnc2dbOIc/KRxbH+txLM8WUFWZ/eaQ77y7x15jwIcbLf7FDzbZ2O2KPdLBgz3SdCWHosj83vu7bB8NaPV8/tHv3MX1A2RJwjJUEgQpzg8j9loDWl0fSZKyuf54P1TIGeQsDctQGXoRiiLT6nlcWCxhjhKgNU3h628tjc2PsiyDlDJXdej2A27eb7G53ydJU35y6wgviCgXjDFTrAleHvz2j7b54H6LDzba/M6Pd9ja63HYFudIRRFr8Y2NFs2uR7PjcXeng6rIGJrE/b0enX5At+dz1HUFSThKSBJBnJutO9iGBqm41spsgfl6DlWRyY1qEYdtl1ubbT7YaPHOrSM+uN9CkuCw5dIbBg/t17f2exlPIYpSghEhL2dpLM3kyVmiF3myV6DIEqqqjNU46mWLuVouS+TUVDnraz4JvvWjHe7tdNlrDPjtH26NueBPMMFnBcc9dBD7/0vLFWRZQpFlkUqnyPSHIUMvxPVjqqXxnv7jMFfLiUQHBEchf8KUwLFO/LsErb7H7/xwh+3DPj/84IB/+Dt3x9bld24d0uh4dAcBH2y0xoi8wgz2QY9xMIyy9N6f3Drig3vjfICTc1LlxD4dwA9EOkfPDdhrDDloDcZ+NopSesNQpH4MA9YXS1nd8Nxima4b0HdDOgOfFGh2PTxfpPFVSxbKqO5r6Apvnn+QDDxTtcfEKWEYZ4lGnX5AECaoqkw5b6AqYv1+HH8IHn2e22sM2R7VHe/tCg7YaSin+EfPczac4LOFvK3j2EKMKcvSR84TLyNqRXPMjCpNeeUEHMDY/BDHKVdXip/g3TwbUqDV9em7Ic2OMDr9rOIzcQr7tV/7NWRZ5jd+4zeQJImDg4NP+pbGkKYp/9U/fBeAP/SlRdYXS5/sDU3wyqBWsvhr//5X+Hv//EP+29/4gH/5gy1ubDT5j/53X+TC0iTN5VXA0B8nPLt+RPEpRQRpmnJvt0Or66FrCmma0un7dAc+hZyBpip89XPzkKbYlsYHGy1IRcJDmsJUxcIyRLGk3ROCjplKjvWFErIskY6s7+IkxfMjTF3l5ii2d+iFHDb7XL93RH8oiCULUw6aIhHFIMnQaLvc2+lg6SpvX51hmEUKChJIECUEYUzJMSnldabLNkEYM1WxURSJvhcyGIbIskS5aHJtvYamKg99DrO1HItTDkcdQY49TtRw/RB4tKNOOW9y7XydIBTxwROxxATPAlmS0VWJe7tdTEND1xSCMB4JllIUScqcNptdj4EbYpvCVVZVZGZrOfrDkPm6g6rIWKbG+cUS3YFPpWAwWy+w3xyM3LgNdFWhN4zIWQ/PF8szBWpFi0JOp1o0hbAihSQF29Aw6gqXVyvYhpqRtQ9bLl4QUS+KgoBtqFQKJpIkEm+EQDDluBLzhcvTzFRzvHv7KGtw+lFCp++RMx8WZKwvlOhXAnFtU8w3F5fK9N0QVZGzyNBq0cy+/jQwDZXXz9XoDYPM3QJEZGmSpA8Ibzmda+s1/DAee/7TSNOU/eaQMEqol6xJ42KCFwbXj7ixIRKoFqfy/LlfeY13b4skqX/w27czNxlZllmczhNFIjq81XPx/BhlRPTqD0I0VaaSN8iNmohxnDD0I/I5URR9GmFvY7R2lvLGWJH1cTi/WBJEsxPj+lFQFZkra2Iu0TVlrGA6wWcPSSLm2DhJMjfBzzqO9wjTlRyWIZLpWj2P7sAnjFJsU2GqarN52BMx3qqEREqciOSratHAD1NMQ2Wm6pCzNJZn88xPOTimxkzNQZ+4KE4wwUsBy1B5fb2WnQOSJKXkGEgS3Nxqk6apSNyJEuolA0lS0FSJuan82D5WliX6boimyJiGykFriB/ED+2nDV0RyR9Jiqkr405GaUrOUonidOTSKva9miIMHFrd+7h+xBvrtbHkj5N7DNeP6Lshrh9hGyrX1uvomoIik7m5ghB3n947HLWF254XRMQnri9JEl+6Mo0XJJQcfYzQPDwhGk+SFC+In3sd+cq1Oc6ParH1F9Ss8XzhhqtrClNla4wUetQe8r339wjChIVpkXYy9CMmVbxPL47X+dlqDsdS2WsMma3aBFGCLEu8dq7GD27sE0YJ0+UcqixDKlwQFVni/p4gDeuWlp1Nr52r0/MD5ut5zs0XubxSGWu2X1guIckp9/d6SBIM/Zg0hcPWkN3GQLg5R4lwZ+563N/v4Vgqjq3h2BqyJBFFCQMvolx4uG7mnlHPfFrEccJ+ayhqk2X7IcfnpzlvHCOMYvabwxGBOvdK1PhOfnZxnI4EvZN92wRnw/Wef+ydhd4woN3zsU2VavHRdfShF9LoeBi68lCiuOuLWrwkSVQKhljfE5HsG47q/64Xkbd1TEPl8koVkIjCGCen41g6r58rsr5YIiWlUrDo9Dyu3zvCMlQuLJbZbQ4Iw4ThMBj1MGwMQ6HVdfm9n+zw+nqNatESZlFdj4KtsTJb4N5uh0LOIIoTDE2hVjKJ4oQ3L9RAkpip2OSs8VpI0TG4slbhO+/uMFfLiT0aEkiiplkrWXQGAXlLy9x0XztXZehHGJoyOedOMMFLiLP2L4Xcw3XQIIh4/16TJBXJxsdJx8d7E0WRM7OaTt+n3fM4anlYhoKqyhRzomdz2Bqy3xzw5oUpFqfFee43f39jRF6XSFMYejFffn0aP4zx/JCbm208PwJJImdpTFdswijhymolm2sUWeLySgXbFG7dvUGAbaiUixa//DPLvHuvybn5EtfO17m4VOKHHxb44uUhfTciThL22y7TFYvdhoahJdiGSt7SmK87rM2/esSvzwq6A5Hm3RsG9IYBN/IGjq0RxQmOrZEzNTw/EmaREpQTQRRu90PqRRPfEr3KME6YruRwbCEEsk0FxzKYn8oxdEPeOF9jcbqALEsMvBBS2BylbHlBhOfHdAc+jqWzNl+kVEiYr+WyJM9jnBxveVtnYdohb+tYusL1jRauHzFfd6iX7Yd6BYvTeapFkyQVJHCAa+s1XD/GHhHOz8L1e8J0bnWukNUjuidEG3Gc0hsGk+S7CT5zOO6hu36EZaiit1g0szP+DwNhIJWkom5ZsFU+uNfEMlTePJVwcRrVokVutB7lTG2sLiHO5RaHrSE5S8MPxtfhw9aQpekHc0enH2RjPknSzLgFRmvfiK/gBzHffXeXVs9DlmV0TabV98bmgPm6QzlvkCTpQ2O+Nwwp5nT6XoipKYRROvb107XUSysVrq5WAdGLuX6vKdKtZJEGWC9btHu+mIstnYvLzhgPYWW2iB/GTJWtMaOZnhtQLVlEUcJMxaboGHzzZ1aIkzT7Oz0rXD/K0lOrRZMF36Gc/+ifm2CCJ4EsSyzPFNjc72Gb2kPJOa8Cto+GyDIko7aDLL+aSRxFR6XXD4hTcEyJw27I+id9U08JWZJYmS0QxsKc/GQf6rOGTz0jbTgc8vf//t/nt37rt7KG2dTU1Cd8V+P4rR9u88FGC1NX+DN/9PInfTsTvGJQZIk/9UsXuXauzq/9/77HXmPIX/obv8Of+aOX+de+tj5Ry77kqBZMml0R1SXL0lMLOAA293s0uh6aqtDuCcV3yTHZawyJE+FSUS2YWeOgkhe/U5IklmcLgpOdCtLybmMgmsXAVMVmZbYw/svy4vtyliBcbB30ubnZYq8xwA9E8/lLV6apFi1WZgts7HWJokQULSVBLDMNlTCK2dgLRi5dIXlbkN5rRYucpWVpHgVbZ+BGmbt/tWidKeAAsE2NUsEgBVy/h2PrSBJP5LRvTAilEzwnfnzzgG+/uyviphOPgn3Iz745TxjFKLIs3sW8wWHL5e5OhyRJubfXZbZqM/QjgiARQg63xdW1KovTedo9H01VUBSFi8slDE2h74YYmiBWVB7TVM2Norq7w4C8rZEbETFAEJNOkrR3DvtsHfSJ4oT7+z0W6o4QhCEEIYoskbd1pqs59hvCOaqQM1iZK3JuvsidnS4g0kimSo8eb6eLJJIkrrt92Gf7QLhJ7TeHvHaums0BTwNNlakUTMpFk25fFGZLeeOhdVB/gkbqxl6Pg5FL1mHL5fX12iRCfIIXguv3Grx7uwGI9fu19SpvvzbL7a0OJcfgqOOKqGIFugOf/lAIHwdeSBynyFJMiiAsChcWOXO30VV5LBL3ccSLkzhoDbk3Gse7jQFXVqtZofRxkCTpqRoex3PJBBPc3m7T6or0uUbb47X12itBsPtpolIwaXV9kiSl0fExNLGvv7/XQ1MVBu6x424gRKJJiiyJSG1TV/GDlJypUshp5EwVRRbOUP1BSBgmDzVSJ5hggk8WIg1DrIknSUPrCyXu7/cgBVNXsE1DpPIloMnyQ/vY43V166DHzqFwjTu9n64UzYw8YWhK5nYJoKoKA1d8TdKh5OjIsrj+3/3NGzRHc/Xf+cfX+Te/fg5V1UBirDEjSRI7R31IoSXBxZXyI52nT+4ddo8GbO73AIjjGE0TCaMA5+aL2KaObYrP6uR+o1o0s2c1dIWc+WJK2y9KvAGCRP7+3WYmPvH8SNReECSvf/r79xm4IY2uhxtGXFyqUM5/MomgE3w8KOcN9hoD0lScpcsFk2hEEpBl2NrvI8syAzcgyMfkbLGe10oW//C3brHbGBJECUdtj7l6jumKTSqDrQvSVt8VYqiTQod7u13avQDLEGk0aRLRG4ZUSya3Ntv0BgGFnMGd7fZI6CH2YsfiMmBM4H26blbOm+weiWdiVO94Wtzcamdn92bH47Vz1THB09OeN5IkFWSKEZG8Nwi4uFx56vv6uFEpmln9wTLVZ6qHTPDZQcHRURQpEz++CLJE3w25fq/JsQ1lnKQPCTQAvCDi/bvNbI4IwnjsnFFwdFRFGE/kbZ3FaQkQYorjdJ2TqbzVokmlYIrrSWIsyLJEbeQYHwQx/+0//YDBMCRJEpodn5wlCGLHAnVZkbhxT7iOA9zZ6fDl1+fouwGtrke753NuoUi1aLI92j8kMZCmWR1EliXm62cnBDuWzvmlMu/cPCJNU4IwwdI19hrC+OXcQmns+xVFntQ9JpjgJcZx7QVAUSSKZwg4AP7597eyVPXNvR5//OdWkWX5zL2JIqd8sNHKyEa1sjDJ2j0a8P69BtWCyW/9YIufe3Oe5dkC19Zr/MsfbAPiPHNltYJlqCxMORy2XEFOlyRkSQjsFFmiVss99HtlWaJcMGi2PaI4wfUiLENh63AAKbxz6wjbUllfKHNpucztLZnusM32wRBLV3i/7VLOG7R7PrqmUMjpLM4UJumtLzEW6g47h322D/sossRPbh8SJQlvnhe8p/WFIs3R2gegKWLvPlNzKOZNuoOAOE5RkwQkiBMoOiaKLDH0Y5QwwTRUzi9WMuF4YSRIGrgRjbabGdTpqkgL3j4YsDybZ6b28DpaKZhZ2o2qytSKFrqm8K0fb2dr8MZej1/52TU4oxVxWsStqcoj+QEAP/jggPfviL7Lra02v/yVVYqOweKUI8wtAdvSqJZeLXLmBBO8KJysRcL4Gb9SMDka7fE1Rebv/fPbJ4wpff6tb1x87LVNQ+WsU8nQi/jN398kiMQZvXjiLCNJQgB9DEWRWJxyaI3mMMtQM8Fk9j2jnsfdnQ5+GLN90Mc2NSxDYb854NbIhPbkHHAWKgWTziAgihP8ICZnjf+es2qpx9eK4wRLV5GlY/NIjXfviDOSG0SsL5Qeqt8+iqs0V8thGiqBJD6f80vlsbrt86DV9bi+Ic54u43BWFryBBM8L8IoHu1/E7qDgJSU5ZnCR//gS4TzSzXGozhezSSOTi/iWPPQ91Oqr6CgplIwaXZEgvyzcmY/LfjUV4Tv379PqVTib/2tv8W3v/1tTNPkL/yFv8CXv/zlZ7pemqYMhy8uHrw3DPiv/8FPAPhXf34VS3ux15/gs4PlaZP/959/m//yH17nO+/t89/8L+/zgxt7/B/+9dcmzeCXDGmanhBbGFxZqTD0hOPLk7q9x0lKu+ehyDLdQYAiy/zCFxZ599YhuiJzZa2CHyZYpsrVterYQeHcQpFy1yBJwLFUDlqiGGkaKhu73ez7ugOfTt8nihNKjkEYJfTdkJylcWm5zPtpShjFvHPrSNxTnIAkYnvzts76QpF23ydnCqLH0Iu4tFJAVxWSJM0EHPN1B8fWOTdfJE5Thm7IzmGfhek8YZwwU7Vp93z8MEZ6DMFPkUViQLPrcX6xhKoIYuuzuPpPMMHT4sP7bWRJIk5SdEW44r62VsPUFYZelL2Le802IA43UZTg+sKFzg/EAT1JUvrDkDfO14njmKOOxx9+axlVkXj9XJ2NvS5DL+T1c7WsYdnqeSRJiqWrDP0I21SxTVFQuLpaZeCGXF2r4voxsvxwg/e4kOoH4p68IELXFPaOBjijwoSqyCzPFCjYOmGcUCmI4u6/+69c5Te+s4EXxnzj7VVU9em3lsekjePnH7jhc5EWLiyWR0I1QSx5FnT6fvbPUZzg+tFYcWuCCZ4V3X5AIaeRJKJ5sb3f5+JKhVrJ5OffnOf2dptOP8TQFSxdo90LSNMUVZEwNIV6ySSIUhxLo5w3mKnnOL9QouSYQgRpqDQ73plj/ZH3NDgRIZ4KstOTiDgmmOBZcfKd88MY/xTpEAThtT9Krfos7OVylka1aHLYHlLKGwRhjGVo6Oqxu2NKZxAgKxKFnE6SpERJytpcEV1XCMOYb7y9TL1sI0sSe40hhi72/34QE4TxJFVqggleIrh+xGB0tr6wVKZxYu0+aLk0OoJQc2e7w15zgCLLzNcfHUt+cl49vZ+erzvYpkoYJZTz5phj5cpsAVUWqR9TVYuV2SLtfpCReY7hBTGyIpOkKfO13FghPU1TlqbzeH6MZShjiRqPQ3fw4PqKovDl1+YYeIJwvjJbpNP38YOY0qie1eiIVIuFqbwgcI6e51HJek+DNE1p9XwkBGn9eYlLQy8aSw/pDgK6g4AwijlqD4njFFNXqZcsVFnm6lr1ocb0pwV+GNMbiL/ri2pEf5I4fp6n3Z84ts7VtSr9YUhKmtUOVEXU9I7aLrWihakrlAsmV1arKIqMBDQ6HpauYRsKXpBwfqnEr/zcGvd3+vSGAZahYOgq3UEwdk/H84IsSczVHdx8hKaKFNC9xpCBFyJLEpsHvZEzvXgHa0WTtYWiICfPFVEfYWaQs7TsmXKW9kx/35NzlztK7X0e5/ogijMBx+nrPwuO67dJmlLOmy/MKCmKEzp9YdpRyOmszBYo5ETqULXw4n7PBJ9OmLqo9Xf7AZapvhDBQG8QjJEXuoPgTBHHwA0zAcfx952EoSlcPVfloDkgjlMKOZ0rq5FIx5FgebbI1kGPJBbEqJyl8dpadTR/qQ8RlLcPezTbHqoioSjCYff181XiGBxbY3Eqj6Er3LjXOnFPIdfvNpiu5FiYcgiiROx3FIm1+Qg/jFmYcrLUEPjoWuQ3315hvubQGBlxHZ+rnmaOOe6xHNdYJ5hggk8G1RGJ3PUiCo7+yHF/1HGzf+4NA/rDkPDE/l6R5eycctTymarkcP0QTVFEGvFqhUbbpV6y0Eek8/3WkOXZAr/8s2tMl232W0M+f2mKmaogv6/OFSnkdNp9D1LhvCdJEgvTDrqq0up5lPNmto9QFSGCn63laLRdbEul3ffH5vO9xpCSY9DsirT39+7EVAoGhq7iBhHX1muUCwZRnLI6V0RTJFpdL+tdT/YkLxe+cm2WmxstqgUT21KJE+gNHqRkNrsetaKFoSnCQC03crOPE/7Izyxx/V4LTVVwLI2+G+KHMYWcjmNrtHs+USx6Dv4ZNcRzC0VcPySMErYPhYlDPqeTz2lcXqngWNoYb6GUN5iq2Bi6kp3r/TDmoOny7q0jUoQpRRDEtHoetnm2mPK4PpyztI88Mx8b0IFI3DhsDSk6Bl+6MkOtZOEFEatzxUlS8QQTnIHVuQJFRydJYOAFDL2QIEyQZNg7GjzzdZsdNxNwgOA3/elvXuLOdoe5usPqXJH95oBW12eunqOQM9jY7eKHEcuzxTPXod4wIE3F2WNtvkiSpqzPl9hrnZoD2sNHEoFlSeLzl6ZodFwcS6NatDhqD2l2faYrNvN1h87Apz8IWFsoju3fFUXmylqVVk8Qjl0vYnE6xPUiDEM5s6bY7vnESUIpb46Zmdmmzi9/eYX7+72RCP75jLiCMKY7qsENvJB6ySIMRZ2l03+++sgEE5zEWbXvVw1HnSFlR6EzGInMcgrDYYhtv1r1a0WRkWXEvKjK3Npqc2G5+tE/+BKhUjC5svr0nNlPIz71Tx5FEZubm6yvr/Orv/qr3Lhxgz/7Z/8sv/7rv06l8vROTGEYcv369Rd2f3//2006g4B6UWW96r7Qa0/w2cQ3r6lMOWV+/Xtt3rnd5D/8z7/FNz9f5I1Ve+Kg8ZLg9naHZke4Q5XyBheWyk/tLHfjXpOBK4ozSSoawIYq8/p6DUkSjQ1bUViayT+UMCFJEtWihetHvHenkbldrc0Vx5y8Bm6UuVPIskSapqQpSBJcWqmwMlvA9SOqBYNO3xMNZkmi6JhUiiaVosVcLUd3EHB/r4esSOwcDlidK1IuGuiHfUp5ceiZrtrUyjb/+Hfv0htFm15dq3JtvYaqyHT6wWgjOOSgNTyzkQTCMfBRX5tggp8mVmbz/O47O5BClMDcVC5zjjs5vgu2PlISi2ht01BIR2MYxPjKWSo/uX3E+3fF+PuOu8svf2WFo7aL58fIksydnS5XV6vc3xeJEX4QcdTxmKvlkGWJi8sVCjl9jEzhPGJoOLZGdxBgaAqKImHooikQhAmSJGHoCq+tCRLJabeIzYMB9bIglG0f9Li4XH7qtcaxtWzcy7IkhF/PgZOufc+KQk7nMBDNGkWRsIxJUs8ELwazNYe944ZCmjL0I965echOY0ASp8zWHVTVY+AG7DUGtPtBFjGsqTL1koWhC9JXkoLnxyzPFsfW+nr56d7//GheAkCC/CtWoJjg1UPe1h+4wqkyxqmm+dALM4dXSSJb0z6tGHoh794+4u5ulyCIiZOU/ChRQ1YkoiQhDhM0RWbgRYSxWJ81RWbnaEAxZ5DP6UyVbS6M3KbjNM1EksYTJFBNMMEEHx/6riAXpqM0zksrlbG1e7piM12xiZOU/eaQxSnhYvU4B6K8rdMfivrAWfvpRwmbj9P2ABJS7h8IMkZ3GFBydJo9MY9oqsyHG01kWeX2VpuvfUHOHKsdWyRpHhOgnpRMmrf1rIEoSSLVb8l80Kw8ft4oTnjvdgM/FA2V5dnCI5M+nhU3N9vZulQpmKwvlp7rerapjtVW/DDixr0mIMT8kiQaK7oqGs6fVgGHF0S8f2eUSCLB+YXSEyWlvqzw/Ij37jbE31US5gGlpzDNsU0tq4+BcF6+ulZFksicnh1LEPo1VeaoPeSf/v590jSl7wWYuljP52sOg2HE6nwhu5bYw4+PveMz7Y9vHdIbhBQdnTiVRy6VKoNhQG8giFj9YYhREu/hbC3H+sKTOTTa5vMZp+QtPasFGLry3OmXuiqcRI/ni+clt9/d6WZ/m4LjcukFpHrEccL7dxuZ2GRxOs9sLfdC0hQm+OzA1FXMyotbO/K2liV1i38/e+zkTA1ZljIhx1nflyQp+02XJEk5bLvUyxZJmhLFCf/DP/sQRYZWz2emmuPySoXLK5WxRNFjdAcBO40hYRwz8BIKOZ25qVy2L5IkQSiN4pSCI+aSMEoIo4Qkhft7PRanHSoFk0JO56DlZgY6cZxSLhgcNMX4/qhapCxLXDtfJ4oT3rl1RBQJskr+Cc+oO0d9tvZFArFpKFwdCfUmmGCCTwZ5W//IPcKxGyyIvf3WQY/eMGRzv4euK8xUcsxUbZZmCsxPO5iajK6KfeFszcE2Nc4vlTlsPxCDTJ04833hysyZv7datFiYymdnO0OX6fYDesPB6OsmQy/K3MGLOZ3doz5RLGrM83WH/rCfXS9NU/7X72zgehGdgTjjtXo+9ZKMMzIUKJ04K97Z7mR7n6KjvxKJZp8lbO73KZeEkcFJY4BjlPIGAy/KSM95W6fZ9bh5v8X9/R5RlDBXd+gMAyqjv/txLeI4JVBRJOwz0i6FoCiP6wvn++4wEGLvVPQ/03SctzBdtVmeKWTn+r3GgJv323z/xh47ozS/uXqO+Vr+kfWKvhty496D+vDllcpjuRS1kkmj86Cnd7JHuDpXfLIPeYIJPqM45g4B2AMZP4gZeGKteR5X90rRQFXlbP9cK1rM1hxmR+k9za7Hxp5IJB56EUVHpzFaf4OwxZXV6kNCDsfWQRJJHbapUS9bFBwDRZGy5D1FkagVH90ndWwNx9KyM0B/GPAH7++RpqNEkOl8lhi0czTgl7+8gn6ih6WpD/hIihyMpZo4p/qrm/s9dkdCmJw15PJKZeyZHFvnyurzE679MOa9242sBmfqCrqqZGLSs85cE0zwrLCM8dr3q5hGWSvaIKuMPG1QVO2VE3CA6Dsc62n8MGF55tXc8zi2/lSc2U8rPp1dohOYm5tDlmX++B//4wBcunSJhYUFbt68ydtvv/3U19M0jfX19Rdybz/88JB37m0hSfB//lOf5/ziqzmYJnj5cOUK/MJbff7G33uXe7s9/sF3Wtw5kvn3/sTlsULRBE+P5xVaJUn6gCiJUF6HUfJUjUovEK6dfhAhyRKmLtwo/TCmVrSI4oR2z8cy1ccKGo7d+wFB1BgEXF6pcNh20VWFnaN+tvHabw7Jjxy+0xSaHY/l2QIXl8pUCwbffXePgRdQLVosThd4fb0GCNLdjXtN8jk9S4RpdEQD5/JKhaOOi6EpTFds9hoDugOfME5EFOJul89dnGK+7rDfHKLIEqWCSaPtZc8VJymeL1IDnrfZ+zIiCGPCKME21YkI6yXH0kyRS8tl9pvC3ehz56cBQTryghhLV1AUmamKjSxLDNyQtfkibhChKTKyJOFHMZWCiW1qY6k4QzcUZO4Tbrh9N+Sw7bLXGCBLIvlj4IaZc2Wj4z4x4XW+7qCpCl4Qsb5YxA1i7u50KI0KrH4Q03fDM4ljRycaEa2eR6vnU8jpT+UqtzDloKkyfhhTLZgvhbp6eaaAqasEUUy9ZD02pvllxHDkqvoyfJYTjOMbby9jGSrtnsdsLUeSkK23qiJBLJG3VKoFk1bfEwkFhkjPylsqC9N5/ECMFV1XRFJWGD8k2HwaTFeEc//QCynljckheYKfOs4tlNhrDIjjhKmKPeY+BKJ4f7xHTVOeak17FXHYEi5PfhAjSxJ5W6OYM7i0olPKG+wdDUhIma3muLnVptl2sW0dGeGOr6oSS9N5DtsuF5YFyXS+liNv68RxwnQ1N3FPnGCClwjNjksUJwRRgq7KNEeub6ehyBKXV6vsNwYoiszMY5ptY/vpovXEe8DV+aJI6YgTSMW5H4AU/uQfusR33tkmjGIuLZc56oizSJrC3Z1OJuKoFi3iOKXR9aiXzI8ktQ+9EFkWyQCqIuP6EZWi+UgieG8QZIRsEOePFyniiEf1k2M0ux5xkj60Nj0NNFUZq60ctd2MaKWpCm9dnaXRcUWSweqnlxgl3FxHXaRUJEq8yiKOdt9/kDSTCofmpxFxgHh/wyghThLSNKU3DDKiRH8YUnD07Nx9f1+cES4tl1FVBdcL+cLlGYp5k3bPZ21euFK6XkQpbzyUhLE8UyCOE+I4pVaysjliumKzPJvnBzcOiJOUklOgOxBpgdWSxeWVj8+tbWk2z85BH0NXmKnmkCSJKE7wA+H++7TjUJYlLq9WRJ1ElpitPjrB6KOQpumYC3e3L9J0nrc20HfDsbSQo7bLbO3Z73OCCU7C8yOSNH1qcZVj61xcKtPu+RkR6iyYhsqllQqNE/X802idOsvd3uqgqjJhGI+c4yXSFA5aQy4tV2h0vTNrEI2OiyzBz1yd5c5Oh6mKzZ/42VV6boQbRFQKIl0sTRP+6JeX+cEHhxy2XKpFi5Kj0+77GIbK5ZUKYZRQyZtISMIB1zGyut/T1CJVRebKSoX91hBNkZl5wjmm0X7QC/L8R9dYJ5hggpcHX//iIu/ePiJJ4dx8kdtbHYIwxgtivDBmppLjqOOxNFNgYSrPv/a1da7fa1LKm/zcm/MArM0XiWKRWrA07bAy+2QckAtLZfYaguReyhtcv9vMvrZ10B8TgO+3h8zUcvSHIbqqMFvPsTyTZ2O/x1TJZPtImAYNvYg4TsiZKgXHoJjTeeN8fUzAcXrv0zlj75Om4lqaKk/MQj4BHHVc5moOX7o8zW5jwOcv1LmyVqM7CHBs4SRfyBnsN4dIEsxUc7x/t0FvGOD5wjG774ZUiybTVRtdfbCWm7qKH0SP7QuU8ybLMw4bux3KRZOCrVPI6cRJShDGmYADxB53eaaQ/Xuj49HqefhhQqVgkiQpuqbwh95aPFM0Ag/vKR61ZzjGFy5NYRoqAzdkZbYw9n5PMMEETw5JkfnKtVk+2GihqSpvjDg/zwLb1PmlLy3x7u0j8rZYe07iqO1mQvIoTtjY6+JYYpwfixZP1zocS8vOLkszwgQjn9MpOTrv3RVistW54plzwHFN0jY1Li5XaHU9LFPlw40W6eg+4jjlxx8eZvv1/jDkoOWy8IiUjEJO59xiiYPmkErBeIibdVLQOXBDvDNS6V8EOqdqcKW8yVtXZ2i0XebqTlbHfRlwzH+yDHXSt3pFoWvjte8Xbbj0caDvBllaqAQsTRcIghhdf7X2uLYhUgaTFCxDZr814CrPPm9P8MniU8/sqlQqfPnLX+Zb3/oWv/ALv8D29jZbW1usrq4+0/UkScK2n38C6g4C/qv/6QYA/8rPn+ONi7PPfc0JJjiJCys2f/0//Br/4Ldu89/9xg3eudXgV//m7/Fn/uhlfuWra8/VkJ7g2SHL0pgrnKrKgrT5FNA1hf3mIHOtXJkrPNQ0eJJGwOmoYNNQsE2N5RlxcOj0/Sz6zNRFasAxjNHmpegYFB2Dc49w6dNUmdX5YkZYEL9H/N6TCQEAtqXR6nm4fowElBw9+x1TFTs7xJkjR/wwEu51fhCjKBKXlisPHeReZTQ6Lne2O6QpFBzRTJsIOV5eFB2DC0sVLiwJEo5ja3h+xPV7zUyodWWtiqEp1ErWRyZF5CztAZlIgmLOwAtigjAgThK2D/qkccpuY0CtZKKpMrIsZeKJp3FzlSTpocNVGCY0u97o6zySIG4aKq4XEUYJO4c9JCR0XRzcnvQeJEl64sbnxwVZll5ZIsW93S4HIwLewpTD3EtUmJlA4LiZ13dD3r/TIEnhoDlk4IUMvRDH1inkNJIYVE1BkWVypoplaqzNFxl6USaykiReSNNMkDQmQt8JPh4osvTYovHp9ePT6lAOoi5wZ7vLXmNAq+tRLVnkLI2lmTyaKlMtmpxfLHP9XgM/TEb7QhNVkdBUGU1TmK06WKZKztTYPuyzfSBcFwVJs/ARdzDBBBN83JAksV+L4xRFkR7ZBASxB1+a+ehx/Kz7aWUkpgBBuM9EHIBMypdGDrGuH0LngdCheEJY5/kRW4d9oijB8yPyOeORZ4dbW21haiHBykzhiVzgDF0Zcwd/0WuCLIv5NBy5Auqa/ELqZSdrKwMvfFATkcQe/fxzpn28Cjj9tzJesSbYaZy+/2d5F8Mo4e5uB1Lx86+dE021atHKxBzHKIzc31RV5dJyhSiOSZKUjd0utZKFIkuPNW6RZYml2SL1kk0QiRpkrWhle4O5mpPVJmdrOd68UP9Ya06NjsvtbfFZFB0dTZUZuCE3NprEcYqhK1xZrT61YYv+hPPmR0GSRvXbkXO/qsgo8vObxxiakqXxwIMa5wQTPC9Opj3Uy9ZTO04f1/g/Co6lnSk+PcZJMYQfxpl4DQkgRddUojjCGvUlLP3suVSSJO7tdImTlHrJ4uffnMeydKwRqavRcblxr5nVzX/pS0vsN4dZQlE5b3JuvkjOEvVZRZGoFgWRq+Doz7x3Mg11jJT6JDB0JdsHSNKrvx5OMMFnAaau8sXL4iwUJymK0kUdGXGpmjz6ngdjeX2xzPrieI/U84UZX87U6A5C/Cc04VEVmYWp/Inf/cDl2LE1kiTN9hEFWycIE2xjtG+UJbrDAE2Ree9uCy+IOGgNs9pxztaZqeS4uFx+aM5/aO+jju990jTlg/stkfoqCXHL6f3rBD9dmLoQKCzNFFidL/LG+TqqIo8J5XVNYXFUY7i91WZzv89ha8h+cwBIJKlw1T+9lk2VLa7fa3LQcpFliQtL5YcMdfwwZvtoQDQSVhRyOpYphNfH/clj0cVp/oGhK0KsIYGMxHQtx/nF0mPfoYfOX4/YMxxDlmVePzchLU4wwfNCUxXKBYu3roq55XSyxNPgWCBomxpxmtIZ+GPjXhjePag3FmyDZLTIybKErp19Bn/U2eVxc8CtzbbgPZyoSR7PczuH/bHvrRTNbO2VpMcn8IVRzNZeDz+Mcb2IvK2PiTQsXaUXBdkz/bRMI8+qWS1O52HpyZJWPy60ez43N4VoxrE1Li1XJkKOVxQna9+vIixdQddkqgUxJ+m6/MoJOEDUjWU5RAaSVGJp6tXkN00g8OllQ5zAX/krf4W//Jf/Mr/2a7+GLMv8tb/215iamvrE7idNU/6L//6HNDoe83WHP/3NS5/YvUzw6YaqyPwbXz/PV16f5W/8Dz/i3dsN/ut/+C6//cMt/uL/5nMTUs8nhAvLZbYOeqSpaN4/bZM0jBIKOYMoSsVmX3m2zUSlYLI0k6fd98mZ2kMOdecWitzf6xHFCReXywy8UDh6WNpTqWkdS+PcQpHDtoupq1kB6TQkYGWuyM5hH11TmBsVKnOWxrn5Ez8/JUgmjc54DPpeY8C5hdLTfxAvKY4jZYFRZHL4Qlyon9dVdIKzsTZfZOAGbB32qRUtrq3X2DroZ2SgMEo4aA4f+f6fxpdfn+V77+8z8EJRMHUMHFvj/l4vc5ZTVeH6FoQxi9N5VmaLREny1GP0LKzMFVAUSTh1lu1HOtKdXyyxtd9nrzlguiKcvqPRs07WmI8fx+/ZMbYP+xMRx0uKOEmxDZXVuQKdgc90xeaD+y0cS6eYM+gOfGaqOebqOY7aLuW8wbmFErM1h5mqze7RgChOmKnmJs5nE3zqUC1aBGFCZ+C/kDXtZcbuUZ+cpTFTzaGpCqW8zvnFEkszBWRZQpIkvCBiYZhna79HrWghy6K5Xh8JPhxbp162uLRU5p3bjeza+80h81POU6VjvWgkSYokMREiTzDBGCRKjonrh1iGlokTnhTPcp5LU0H0eVxTrJQ3WJ4t0Op52IY6JuiwDI1LK2UaHY9q0eTq2gOn/v3WkOjEmeewNcxIRyfh+tGDVNIUtg77TyTisE2N9YUSB62hELU84XnqSSFJEheXy2yNBHBPel57GqzMFlDkB2erT7M48SSKjsHKbIHm6J16mVz/ngXl/ONraE8CRZYo2DpRLJzgj+sFx4hGybSyLLG+WGbgRew1BlQKBq4f0xiNoZypEifpR5rC6KrML35xgR/fPESWJT5/8UE/5MJymc19QXZ+ltrk82L7sJ/Nf51+wMAV7pbHRAk/iGl03E/U8OHiUpnNUf12vu68EGKBaaisL5bYbw7RVeWnMudM8NnEsZAb4LDlMl93HqoVfBw14ZP9hk7PZ3kmz1HHIwhj3r46SxDF9Ichy3MFZio5pio2SZI+NL7SNKWYN/B84VSbntovnVU3n67Ymct4MWdkBLHT425p5uMdd6tzRTb3ewSRSEM6TWydYIIJXm4ossTF5Qo7h31sU0OWwTK1jzyXHLSGT90bOn1uO/m7ZUliYdrB82N2j/qZcLXd82l0XSxdkOmbXZ9O3ycIY0qOjixLKBLUyzYL03kqBfORor3H7X36bigEHAAp7BwOJiKOjxnriyU293rESZIlWx7jWDxx/Dfz/IhGx6NWNPGDiEbbFYRlx0BT5Yfqde2+z9CLsmvtHvUp5MZTIw+aQ6IoZaHucNTxSNKUi8vie1RF5uJymZ3DPooiPzQ+js/ESMLQZqps89bl6cc+71TZJooSusOAvK0/Uf1gggkmeH5o6uPH86Nw1p7+o9aO+bpDkqYipbdgUnIM7u/3iEe9zxcleBh6YWZcSSrqESfnlGvrNcJImFvO1XKcWyjzvet7uH50pvDxJA7bbmaQEcUJ+83hmKD+3EIxe6bZmvPURhWn8agab9ExWJkr0Ox6WC9xDW7nqJ+d4/rDkE7ff6VTez/rOGvcvzqQeHO9znt3RU/12nrtlXye1bki/aFPnMBUxUaSJ/WGVxmfib/e4uIif+fv/J1P+jYy/Prv3uW77+2hKjJ/6c988YmieieY4HkwV3f4f/37P8s//f0N/r//6D0+vN/mP/jrv8W//c2L/MmvraN8gsSezyIsQ+X84rOrnhVZwjJV5g2x+X4e17aZau6RDVFNVcZEEUXHYO4ZTSzOchU8iVbP4/rdJt1BwPJMgWrRGnP1OuvnTx9y1Oc89LxsUE85/D1tYstpBGHMBxstXF+4AFxYLk/EHC8QgkChUC1YmLpKFKcPvZNPczA3dZWvvjlPmqbc3u7w/ev7WeGkXDC5tdnOrjlXzz21w95HQVXkJ7qmqYtG6LHAJPv5T9l4fFUgS4w5Hk3W95cPrh/xwUaTw5bL0AuZreWoFk2KOYOjjnCotE0VXZO5slpBUxXOL5ZZmSuMOe1+mkSLE0xwFmZruVc2EelpcNxwrRRMKgWTC0tlSvkHTYGVkSCy+/9n77/DZNvP+sD3u3LlXJ3zznufrHOOJCQdQAFZAlmCsYwRWB7ZugTjy70M2OMx40fIFjyALxY2c2EuM3g8MggHgbFFko8lAZJQPJJO3men3p1j5apVtfL9Y1XX7tzVsbq6v5/nAZ3eXV31q+5av/VL7/vWTD9zv+shoCl47FIWV0ZTzSo6655PFFtls9eCQDplMVfD9JJfiniCGRqJWh5kgvY3qNoNtGoYNl6bKsCwHCSiGi4OJdraVKjqJm5NF2E7LnpSoVa/sp3eVKgVOJcvN2Bafn8iCMBjl3u2basibZ63bv9+1g5srB3a3vxzu1nrI49LKKDg8jFmpmt3bnUW9aRCZ+qwzW5raO3QVGnDz6/Nm+uGjW/dWsbUfBlBTcZjl7MYG/Cz6z56KQsAeO7mUuvgrygKENu8x2eTIbz96dEt/x7U5GP93O/F7yuc1teSJELatO7VyUBUwD/4fZj1250kowEkozykQEdLlh5UlRIEbFjztWwXr03loTdshIMKro4mj3W9aK2vnF2uYH6l1lrLGO2PbQjQr+omvnlzGbbjbqkeosgiMuvmD5vbq0gi6uu+liV/7rNdICnQ2etOkUVMDJ7PcQDRWREJ7n++sN+9oUKlgbuzJbief0h+LTHT5tdeyumo6BYkyUaPaSObDLbWhtYC8cXm3qIsS7g8HMFIX7StMexuY5/Ne4mdHqedR5oi4eI2FR2XCzqmFsoA/HttTzIESRLgTxcE9KZCsBwX4/3+vahQaeAbry5BlkRcGkkgGlK3VJzbdu7f/Axrqn84eKgnsiFBQTSktoI6NlubE+93XjyQjWBgXz9BREdht+t5s/XrjpvH9HvdO0RR2FIZ6OIx7H1KkrhhTXLzPVoUxVY14jXPPD7U1nNvfk+bv1YV6cjeU65Ux+R8Ga7nYaR36729JxnatWLrabDl98XzJF1rcr6ElUIdsiTi8kgCkdDhkxGfJEEQ0JsOI9u8ZiRJ6LoADgCIBhUM9cTgekBQkxAO8vx5N2OPeMIm50v47U+/DAD40Huuc/GOTowoCnjnG8bwG//orXj6eh9sx8Un/uRV/M//3y/62c+oa6iKhImBOFRFRDAg48JgotNNOrSpBb8ccTYRRKlqQlH2PuSQigXQkwpBkUUkotqpjSg/qPGBGMJBBaoiYqQvuqH04kEsrNZapdsruomVgr7HT9B+rBR0VHQ/m0TdsLGwWkNfKoxUPABFFpGKBw40cS5VzVbGWst2MbNUQSoWQG/a/+zHI+qOG5QnqScZQiYR9N9rLNDRbJnnmSSJuDAYh6ZICGgSLm2zqE+dNbtcgWE6WCr4G24V3YJhOYiGVTx6KYueZBDpWABvf3oE2aR/nWeTQWQTPPxMdBaN9EURC6tQZBH9mfCGAI71RMEf+0aCMjRVRjoRQCax9RDSxeEEApoETZVwYSjesYBd23ExvVQBPMDzgMn5ckfaQXQabZ4jtFttaHal2srsVqwYDzLI7WGqWV0T8DNnVptzlr1cHEogqMnQFAkTg/EdD+n0psNIxfz3k95lzrN5HYProXQejfbHEAkpUGQRQ72RVvKS2eUK5parcFwP1bqFu3MlVOvWhp+9OLTxHt+NG4vrjQ/EW2teo/2xVqbIRNTPDtyTCjUD3oioHReHH9y3LwwlNgQ9LOZqrezatbq1odrWcerPRJCM+dd0JhFEz6YA9PVjlJVCvbWuCgD96fCuPzvWf7Tr5kRER22/e0P358t+YiYPmF1+MPdbr7quD3ccr3Vwf01PMtjqMweyYfQ2x1NHcaAzFFAw0heFqogIBxWMDbAK+2nguv7nwGuuv00t+J8jRfbn8ZoiIRbR8Pob/VAVEQL8YBCguXbXTMyWiGroz4ShyCJiYXXbqlU9Sf/ztLYH2Ms9QCLC7mP603Lv0BQJ4/3rz1Yd3ZpkNuEHU66dVxo4xsRk9xcejBWmFytbqrt2g/XrYoM9EUS77OA/+fyzZn5aBdtxMbUu0Wu3EEUBF4cS0FT/TM1xBJCdhBsTaYSDCgKqiLH+GGLhnSsH0enHEJwTpDcs/PInvgHLdvHktV68580TnW4SnUPpeBD/6999Gp/7xgx+6w9fxGtTBfzU/+fz+Dvfdx3vefNER7O1UvsyCX8xDgDKuok//av7qDcsXBhOtLL0nZSqbuKLz89Dr1uYGIrjscs9re/NLlXw3M1lAMATV3t2LRdcrVsoVg2UawbuTBcwt1zF5ZHkhgyjy3kdn/7iPdQbFh6+mMF3PjG8aybRo2ZYDu7NlmBaDnrToV0PqjcMG/fmS7AsF32ZcNuHc9YENBk3JtKHbTKdEMuy8V/+8g5Wig3EQir+x3dfhdgfaw34C5UGXrq3CsvxsLRaQ92wIAgCXM9DQJXxhof6kEls/Yx48HB3toSlQg0BVcLrb/QDAEb7YluyU3SSKAonehBraqGMQqWBUEDBhcE4K06sk4wFTrz0qOt6uDdfQlU3EY9oGO2Ldf2houNSNyx889Yy7i+UIQkCihW/tK2iSggoEq6Np/GGh/pbj9cbFu7NlfDpL95DodxAoWwgHlahaTL602GIooBMIojxgRgPLdC5UqwYmF4qQ4CA0f4YYuHuXOxVZAkjfVFMzpdxd66EV++t4quvLMG0HYwPxPHBd12FLMvQFBkjfVFoqoSGYcOxXfyXv7yL2aUK4rEAboylIEkiZEnAS3dzKFYM5IpJvOHhfvYNRKeM63qYW65gtVhHJhHE2Lpxk2na+OIL8yiUG+jPRHBpOI75VR2SKMB2XMytVGGYfvDnQcfe33ptGSuFOsIhBW95bAChwPb9ZySk4uGLfilOz/MwOV9CqWogElJhmjb+4ltzAIDvfGII18cfzFsLlQZmlioQBAHj/bENWbjWr2NstpzXsbBagyz7QcmsWkxnkWm7mFqo4P5cEavNecDVkRQ0VWodeljPcVzcmy+hVreQiAbw8IXMiazblqoGphYPPs5yXb/PqOgmYmENY/1b54dC638FCABmlirIlxoIaBIuDMYxs1zFC3dWUa4aWCnUEQwoeNNjA4hxg59oW9F19+2DsGwHd+dKMAwH4aCM6aUKCmUDQz0RPHmtd1/rbk6zD1hbI3r0UhY3p/L4vc/cxOxyFYM9ETx0IbMlQPTOTAGTCxXUdAtj/TH0pkN46EJm2+z169fNC+UGnr+9AlHcOvZwXQ/3F8oo1wxEQyrGB44+CG79fkFPKnQuKkoSnTeFcgPTS5Vt+5ndCPCrI7VbQe0g1sZQWnMMNTEYB5pzxbX55bdvLaM/E8ETV7K4v1iBYTjIJoOtah/bPedzN5cgQMCT13tbCfQEwR+5Cc0ii+vHbxODCSiyCNt28YXn57CcqyFfaSAdD2GoJ4I3PNTXqhBCR6vWsLCc9w9S9qQ2zbebf6tsIojBbBgv3l3F/FwNsYiKdDyIv3huGp/67C1EQgp++K9dxeNX/P396cUyvn1rBV95aR6KKuFtrxvBM48PtV0dfLnQnN9LfjWqYBvz+2rdwv35EhzXw3Bv9FircRKdNycxJl5Trhq430zotFYJau08jef57ShWGggHFUwM7G9/f36lipVCHZrqB6qpzaC0dqyvXHVYX/j2HJ6/tYxgQMH3vmnsTFTfffHuKm5PFRAIyHjjjV58/ltzmFuuIpsI4a+9YQxfe3UB1ZqFob4ont5UtWQ/NEXasI5M3atQaaBYMVr3+m70qc+9hv/+tWkAwPe+aQJ/+93XO9yi/YuEVVwbS8NxXSRjAXhep1u0fw3Txhe/PY9StYHBnuiGczLd5CjOr3G2dEJc18PHf++bmFupIhMP4P/9tx7nYXnqGEEQ8LanRvC//exb8djlLEzbxf/xhy/hn/+br6JUNTrdPNqnr720gFypDt2w8eKd1RPLprXmKy8tYrXov/5Ld3NYzNUAAK7r4osvzKOim6joJr74/Bxcd/uI8OGeKJbyNZSrJkpVE/cXKihWDNycymN5XcWIP/3yJFaLddQaNr7y0iJmlk42q+/UQhkV3YRhOZherGzJjLje5HwZ1WaG9amFcqsKRqf0Z8IIaP5kNhJSmNX9iH3pxXksrOowLQe5ch1/8e251vcc1w/EaBgOXrm7ipcncyhVDXzl5UXMLVdRrBj40gsL2z5vrW5hpajDMB1UdAvLJ3x9n0a5Uh1LeR2m5aJYMTDLalIdt5irIV9qwLRcrBTqG/pt2mgpp6NaM2FbLkpVA8sFHbPLNSwsV7GY03Fnpog7s4XW4+/OlrCc1/HqZB437xcwu1LFS/dymFoo41u3ljGzXEGh3MDduVIH3xXRyXJdD3dmi2gYDuqGjTszxU436VDuzpWQL9Uxu1TB556bwdyKPza4eb+AZ7/uLyCO9EVRrBio6hYiIRXfuLmEF26votawcfNeDl95eRGG6eBP/+o+7i/6hyafu7mM16YKe7z68ZAlESO9UX+zWMCJBl0TnXYvT+Yws1RF3XAws1TFy5O51ve+fWcV8ys11A0Ht2eK+OLz8zBMB3rDxtxyFYZpw3ZcGKaNdlcUR/qikCT/0Y7rZ8bSDRsrhTq+/spSW8+xUqhjpVD3x3r5Gv7zn99FuWaiXDPxp381Ccfxs8Q6jtua99QbNm632T/XDRv3F8owLAe1usXqPXRmfeXFeSznq3j5fh6zS1XMLdfwVy8uQJEFKLIEURQQDioYH4wjElQwv1pDoWzAtFws53XkSu1V4DkM1/Vwe+Zw46ylZltNy8Vqcfv54VpwimE5eLk5vzEsB6WqiS+/vOBXC8jV8FcvLaCsW8iV6vjaS9uvmxDR7vrSodbhyXBQQc82iYamFysoV/017796YQH35kqoG/69/N4+1xuWNq0R3Zkp4Js3l3FntojVUgO3pot48c4qgprUGqMENQkvT+aRK9Yxv1rFC3dW/DW/5d0zetqOizuzRRimP/a4M1vc8P3lgo7Voj+GyZUaWMzX9vVe2rF+v2BmqdJ21TMi6g579TM7WczX9hwPrbc+6HUgG25VS1gvsq4PlyQB8YiGhdUaDMtBuWpiZmnjPsn6+eW9uRK++Px8q6+fXa6iXNvaX9m2iy8+P4eqbqGim/hCc59Lb1it8VpVt/DCndXWa5eqJmaW/P76xburmFuuYmqxgsn5CmaWK7g3V8KdWa5dHwdB8KuymLYD03bgOB4EwQ/OvDdXaq0n3J0r+tnybQ+hoIJcqYFbMwXcnS+j1rCxlK/jPzx7GwCQLzewmNPx+W/OoFAxUSgZ+JMvTSJfbG8u0jCb83vTn9+3O464O1OE3rBhmA7uzha3DXInooM5zjHx+nXHTCKAxbyOumG35hLeuhPFq8UGlpv7+4WygfnV9ttR0c1WpapyzcTUYmfWDmeXK/irF+ZRa9hYLdbxZ1+eOrHXHuuPYe2I6VBvZNtg94NYLep4/tYKdMNGvtTA7z17C7en/T55arGMf/enr2A5758FuzVVwP0F3tPPO0kUYFgOLNuFYTnw0H2RA/nm9WvZHizbw3/5y3udbtKBuK4/DrRsF6blQOrCJKvfvrWCxZw/Z7kzU8Sdmc7sax/GUZ1fY1qzE/L7n7+Nr7y0CFkS8b/8j08jHmEJG+q8bDKIf/ajb8SffGkSv/3pl/H1V5bwU7/65/jZH37doTI30ckyzI1ldRsnGCywlNcxs1xBvWEjGlIgCAIapv/6rusv+K1xHA+27UJVt04o4lENEwNxFCoGTMtBtW7B8zw4jrehFODm91rRdw6iOA6byxLau5Qp3LzA1OkFJ1WR8MjFLGzH3ZLpjA6v3nCgqRI8z/OvA+PBZ9V1XdQbFlZLDSwXdViOC9vxy106zc/FduWxAcC0XKRiAbieBwHowinQ0dvPdUgnwzpl/d1p5gHoTYXguB5My0UsoqKqW/Dgb67kyw3cmSmhPx1BOKjAclyYdvNgpOsCHmC7LlzP83/vHuB4Hq8DOldcz/PLRjfZrtu6/3Yj23ZhOy7KNQOlmrVhrKbX/XF1PKLh8kgSK4U6RFHA/Eq1tQHieoBpOXA9v7/wPACS/3sy7c4FEfelw8gmQxAAVmciWmfzuH/91+a6+a7nejCsdfNpz8PEYAKO60ISRThtplWKhlQ8caWnlRn/7rrDMw1z+znIZpvHeobtQG5uFNqOB9N0EAxKW/vnNseEmx9nOe21azOzeXjScT30Z8KIMmM/nTKm5cJx/EQPHgDX88cAmiLh2lgSV0aSEAShlalry7VxAmN+b5txlut6+7qX79Vux/Uwt1JFtWYhGlYBeBBdAPAPK671hZbtz3c8zwUgtd1nEXU7z/OvkbUqPPut7ryZIkt4+GIGjuPumAlw/XVrOe6GfmCnNcudbB431Br++v3aP68leZJEsTVGyZcbeP72Ktzm+GbtOfYaS7iutyHTpO1sHB+dxBri1nEM12eIzpK9+pmdbO5v9hrHJWMBPBHR4AG7Hr5KRjXUGxY0VdpyeNOyN/bX5qaxU920EQs/OJ+yXR/rui6cde/Rtl3YtgvH3fi+TcvZkAHd3rTPtfZ7Wvv3Tie5O6tcz5/zh4N+FV5REOB6/n78+s+t1Vx7BPy9iWwiiGKlDmlddRTD8v9Ga5/dtf/1PP91aoaFFPaujrG299n6us17r27YWM7r8DwPqVgAjutBbj/JPhHt4jjHxOvXHQVBwGrxQcIY1/XXF9aCPA5zdmZzm227Mycmao2N97OTXKdIx4NIRgN7jhX2a/2ZFuDB/K31tWEjue7r03JPtx0XM0sVWLaL3lSIZ3BPkGW76EuFkU0EIQoC1C68YdeNxoaxkud5yBfrSHVZImRV8avxuZ4HSRS78ozO5j6l3oXrv5btolg1UNP9eVoqdrD+iKc4T8A3X1vGv/vTVwEAP/4Dj+DySHKPnyA6OYIg4HvfPIFf/X89g6GeCPLlBn7uf/8SfvfPbrYOF9Ppdm083Yq6TsUDrdK2x61QaWBqoYx0PIBq3US1biEZ1TCQjQIAZFnEpeFE6/EXhxNQ1e1jB2VJRG86jHhERSIaQCKiQRRF9KQ2ljZ83bWe1nvNJkO4OJjY9vmOS38m3Hr9SEhBLLzzoZD+TBhr6VFjERWR5iJapzGA43i8/elhBDUZgiBAkUS84/Ujre9JoohK3UKtbiESVCB4QCigIBMPINEsCXxtLLXt8w71RpGIahAFAaIo7Pi48yQdD7QyUUmSgN5mGVbqnJ5kqNW3KLKIbPJwBwzOsutjaSiKhFhYRSKiojcVwsRgHLIkwrL9g+iRgIzXpgpwXA8DmTASUQ3xiIpsMgRVETGQDiOoyRjpjSIUkBFQJAyc0L2f6DSQJXFD9tj+dLhrAzgAYCAbgW7YMG0XfekQXA8QRSAUkPGmRwdaj+tLh6Eofl97ZTSFZNRfBIpFVFwcikMURNwYTyMc8MecfakwxvoTJ/5+1pNEgQEcRJtcHk5AVf2xrKpKuLxuznx1LNkKjoiGlQ3l5a+PpyGKAiRRRECTkIrtfXhizdqh8JHeaPPAtD+Obrd8fSYRbB0Q0lQFT1zpWdeuFIJB/zkVWdowf293fBIJKohFmnNrARjIHGxcc3e2hFzJL+X+2lShKzct6Gy7Pp6GpknIJgIIahJCmoyx/ihk2R/Py7K04YB1TzLUOuygKRIyifav+4OSJHHDgfH+dHjf9/JsItjqy2RZ3FIJdna5AjQPgi3makhENSSj/nsTRQHXmn1TOu4fXldkCYKAtvssom63kKthfqWGUtXE1EIZhfLRVOHZKYAD8Ocaa9f6haF4KxAyElL2XVVv8xrR1bEUsskgMokARAHIJEKtPYy1MUo6HmhVDFFkESM9UYiigL491vxURUJmXR8zkNn4+GzywRhGlkX0HMN6lT8f9f87HFQQD/PwENFZslc/s5OeZGjjeCi594Ewf76387jLsBzcmi6goltYLfrznmBAbv3s5j7zyuiD+WVIk/G6K32t/ioUkLc97KiqMi4MxltfX24+Rziwbj9U8Pd717/22vjxykgSqiwhndCgqSLSsQBCmoxLw/Etr0WHJ4kC+tIhf/9Q8P9bEgUENBmp+IO5w2A2smFcHw4peNOjQ0g31xVEAfiOR/oB+AFFmirhwlASAgBVFjHWH8Nwb7StNoUDMuLr5vf92fauGdO2UdH9swZl3YTM9USiI3PcY+K1Mb3Y7JPW9KZDG+Ygm/f399OOWERrBawJAtCX6cw+9HhfrHXPEwTgyWs9e/zE0dprrHAQfekw0vHmOEUAvvt1wwg17/GKLOLtTw231qaiIRXjA6fjnn5vroSVQh3FioFb04V9Jx+gg4uGVERDKiRRhCAK/rm4LjPYm9zQXw33RLougAPw91GE5p5RLPIgsLebXBtLtfqYUFDBhRM+A3oUJElAodRArWGhWDXg4WD9tOB5baZuI7z44osAgIcffrjtn1nM1fA//dpfoKJbeOcbRvEP3v/YMbWO6PAaho3f+sMX8ezXpgEANybS+JkPvK6txaXz4rnnnoOqqvvqB05CWTeh1y1k4g82Sg+ibvil/xTZ37Td7UDc/GoVs83yvLphIaTJeOJK75bXXy36ZYIziY2TKb1hYbVYh6pIrdfSG5ZfwcNx4HkeomFtS9DBaqmOSs3EYCbSOvyyl5WCjntzJUTDKq6OJiGK+/sd1eoWcqU6NNVffLJtF6GAsudGdsO0YTsewgG5qw8X0kY79QMz80W8cC+Pi0MJXFkXbGFaDr59awUN04YgCPDg4fJwEomwgpJuQ1NEJKIbD2O4rouXJ/PQ6xayiRCK1QaSsUCzVObp/izZjovFnF8CtS8dPpbAIcdxUTfsZsap7ovuP4tsx0XDsBHQ5HMTLNbumEBvmHj5Xh6SJOL6eAq27aJat/zfVfM+spyv4WuvLCETD0FTRZRrJkb6ooiFVQQ0GUFNRt1wIMDPrh/U5NY9SJFEBDQWWKTzR29mBAoFOrcodRRzA9f18IVvz2KlWIfgAQ3bRU8igDfe6EMkEkCxYqBcMxBpLowapo2gJsMwHSzkasgmglAVCbbrjznnV2uYXixDEgT0ZsLoT4c3ZEckoqN1kH6gYdooVgwkohoCmxId6A0b5ZqBVFSDqsqo1S2IooCgJsOyHRimg2BAOfCGnWm7yJfqiAQVhAIKFvM1OI6HbDK4pS3rTc6XML1YRl86giujScwslQEAw71bD3aub3OuVEetbiEe0XbNiKY3LMwsVRDQZAw3D27u1zdvLm8I3HjoQrqj9wg6X9rtC9bW7+oNG6LoZ1JUFKl1kGEz03Iwt1KFAD+ZSTiooKKbKJQbCGpK22u21bqFfKmOgCZve1CiUGmgUjMRDatIRgOHHmftNj+8OZVHuWrCtB04rofrYymk4kEsrtbQMC0kY0GENBm260GTReTKDYSCCmKsrkOn3FHtG9ybK2G1WG99PdQbOXCA437MrVRQqZkYyEah100srNbQn43sGUixnc19gOu6WCk2YNsOJEls7WGUqgZKVQPhoIJkVMNKsQFZFqDJ0rZrfo7jYjGvw3U9KLIA03KRiAZawePBbdZGTmK9yrAcWJbT1n4BnW2ndf+QDm/9HKddR93/lGsmXri9glLNP+Demwnh4QtZ1BsWVEXadu1nbX7pNCtshIMKNEXas79aLeoQBOHBoU74GYprDRumZaOqW5BlCdGgDE2VN7z22nxXUyQYltOa2+7GdlwsNfv3vnSoK/Z8yjUTxUoD4aCy4fcEnHxfsNPYffPn1rQclKsGqg0bAVVCPKTi1mwBEIBUNIhMIoigJsNxPdQbFuZXq1hYrSGgykgnArg41F6i2rXPitwMKGnHN15dQt2w4XkeAqqMRy5lUDdsf44SUpHcRyILotPgtI0JTnIPd7f1hAf7+37w9kqhjrphIRkL7FlR13U96Lvc806K4ziYXqoiHFA2JBtbs5/3dBgN08ZKoQ5JEtCX2pqAo901WcCvdJIrN/x7Q0RDvW5iPqcjmwghFlExteAnzhkbiO8rsdBxeuHOyoYqIlfHUrsm4O2E09YPHCXX9aAbNhRZ3HFNsxv88RfvQpZEvPON451uyoGYpoO/+NYMqnULb3yoD32Z9oJuT5vnb69gYbWKq6NJjA0kOt2cfVvM1TA5X4JpOVBkCT2pEC4OJVrfbzfegKd9jlG1buGf/fZXUdEtXB5J4Me+/+x1zHS2BDQZP/WDj+ORS1n8xqeex8v3cvipX/08fvL9j+LNjw52unm0i1hIPfRmpmU7eHUy3zr00DCdXTNtJaMBzK/U4LoeQgEFl4eT2waQbA7eAPyFolcm863S7IblYLQvtm4yt/MmcSYeRCbefmBRqWrgv399ulUCuFa38NT1vrZ/vmHaePX+g7b2Z8JtZxzZ7RAMnS3lmomFYgPZZAilmonVYr2VoUltZt1f42eX8zdAA4Htr9uvvbKEOzNF2I6LL5Tm8NS1XtiOB0UWMdRzugffN+/noTfLiZaqJm5MHH22TEkSEeEBjlNF5t9kW67r4tmvzqCimwCApZyOd33H2Ibf1VJex2rJQCigYG61Cs/1IEoC8mU/eKsnFcLV0dSGjLhE1NngjaN0b64E2/GaBxcd9KXDiIY1aAEVpaqfRQgAkNNxYSje2hgOBUVcWLcIBPibIMt5HQurNegNGws5HcV+Aw9fzPAwEdEpElBl9KW3nyuGAnIr2xmADdmTFPnwAcyqLLbmIndmi8iX/Ozeq8U6HrmY2TZL9+xSBV96fh4AMLNUhSQCF4d3Pryx1ublgo77836wx2Jex/Wx1LbjRct2cfO+XzmjVDXhut6BsrqlEwEs5fRWGzgfp9Nov+t3S3kdKwX/MPdqqYELg3HcmS1iLS2X47p7HrCuGzZency1fsa23Q2VcgqVBm5PFwEAizkdl0YSrcoYB7Xb/DAdC6JcNaHKEmRZRDyioaqbmFvxE8XkSsaGMc9BDpATdbNULIDVUh3w/Eyrh70e2zG/UsXcsp+QZbmwDFEUoMoSphcrkMT2Msivt7kPEEVxy5pGRTfx2nQBaPZNYwOxPdc9bk0XUdFNFKsGCpUGxvpi/hhjPL3jweqTWK/SdgnGI6Kz4SBZbY+6/1FlEUv5GurNA4uJmAZJFHZ9jVBARrlmtPp4QfATOO61RrTdvq4gCFBkETfvlzftl248GLrbfHcnt6YLqOr+od9ixcBDF9KnOplZVTdxcyrfuoc5jrftQd6TstMa6ebPrSAAU0uV1n55TyqEWFjDSqGOBaOGlUIdD1/MQJHFVjKZry0vAR5wewZwbODK2N6BHIIgILLPayYdD7TmPZGQAr1h4c5MCUBzjjKcYCAH0SGc5B7ubvs26/f3F3M1TC9WAPhrHzcmdk/GIu5xzzspkiTtuG653/d0UI7j4tXJPCzbP9elN+wNB4ZXCnVMzjf70LyOa2OpXQNKZHnjfC0YVHFhyH/8wmoNS3m/f747W0TgmN7TfqXjQcwt++tIAU3qygoE3UwU93+vP42+980XOt2EQ/mjL97D7dkiAGBqvoIPf/9DiAQ730/ux8v3cnjxzioA4IulBQQDatediUlENCiyBEkUAcEf1x4Ed7OOie24+OX/++uYWaogFQvgf/k7T3dF1gAiAPiuJ4ZwZSSJX/mdb+DOTBG//Ilv4OtPLuFH3/cwBz9nmN6wN2StLNeMbR83s1SBXrcxOhDFQxNplHUT4YDS9mfD8zzMrVRRrDQQCakQBQGVmnkk72GN3rBQrVuIBBWsFPXWghQArKzLZNbec9mtBUkArYO4ROtVdbO1YOt5HqaXyhAEP9hJFAVcHkmiUGlAEAQko7tnOwD86jGAf6DJcTyUdRNBTUG5ea2UqgbmV6tIRgNHcqChopuoGzYSEe1Q2Sscx20FcAB+0JTjekde2pOoWzRMe8N9I1eqw3VdCIIfpAH4G1N1068sEw3J8Dx/waxSs1A3bMAD8kUdCys1BDQJo7sEWBJR9ynrfka5WESDVDchigIWV2tYLurIFeswLKd1IKiiW1uy+61nWA4s221t6OuGBcNyYFrOsVfsqdUt1BoWYiGV1YGIDmG3a6mqm9ANG/GIdiQHBdfPwy3bRcN0EA5uDeJYzNdQN2zU6hZCARmLeX3XII415fXzfM/vw7bbbK0bm9ciDjbnHu2LIRZW4TgekrEAg9foTFibS1TrJhzHw4ImY31d9XLN3HNNoKpbG39GNzGw/jU2XXOVmtk6NN4w7H2v++0lmwwioEnQ636J+enFMqRNSWH2GvMQnWWJqIYb4+kjGVubpo3J+Qo0TcRY/84BkuV16xa1ug1ZEqBG1uYg5r6COKp1C3rD8iuL7hJQuZiroVgxEA4oUGQRlZq5baWg9Sp1v531hg3Lcv2EN829hbNwgISIaDdmMxDXr4IhbtvHFsoNLOb9qq1rgRjlmr/3YzYrBlV1a9vDl57ntdar1/a1NtPr1ob90oPO3Ta/7loAB/Bgfniaz9VUdKu1Hwj499FOBnG0S2/YG/bLKzUT3ro3YjsuFlarCGoKUjENizl9w/tcKtTaCuI4iPGBOBIRDa7nIR7R8MpkDuWaiWhIgSAIrfXTe/MlyJKIsf4oRPF8VIQnOqvW30O85rrhSQUHGJaDUtVASJOPNDBk83va6Z57WA3TaQVwbH5dwJ/DNUwbDdNBSJNbVY0OYv0e91G+J9txkS81oDesVlXY/azlDmYjiAQVmJaLZDOwlWg/XNdDoeKPfVOxwKkOIN7J/Gq19d+G7WBxtYaLw90VxLGc11Go1FHTbSRiGpbzta4L4ghoMh66kEal5u+fHXQNnTvrx8DzPPzm77+Ab99eQUCV8JEPv6GVjZuoW/RnwvgX/8+34N//t9fwnz57C5/7xgxeuruKn/6hJ/DQhUynm0fHIBTwyyeuHZ6IhbceNP/Wa8t4+V4OAPDy/Ry+7zvG9txc2WxyvuwfTCvUUaqaGOqJIHqEpe2quolX7+fheX5WkcFsBJIktBamsvvsj0MBGaIotBYmj7PsIXWvSEgFBAAesJCrIRJUYNse4pE6roymIIrCvg4gZJMhlKomFFmELIutTJ2xsJ+V+0+/fB+27QIC8IaH+touY7yd9dkYZFnEQxPpAwdySJKIUEBuBXKEgwonzXSuBVQZ0ZDaWuRKx4MQRRG3pgsoVvxgyXLNwGLe3xDx4GGoJwLH8VCpWQhqMmzHxZdfXoLTvD+vFHU8ea39ilJEdLrFQiry5QYSUQ2zS5VmFnp/PHF1NIW51SqGe6MIqjKiod0XfjRFgiKLCGoS9IaNkKZAO4Hy4qWq0cqiK4oCro+nTkU2JqJus9u1lCvVcXe2OWaXRFyfSB260kQ0rLYqcSiyiIC6fV+hKhLuzhbheoAoADcmUm09f2zd80PAjn1YUNu8FnHwOfdJZCsnOknRkIrJ+TIKZT8pRDgkQxYfXKvtXC+RkAJBQCuQY3MlkGhY9Q9orfsa8A/QvXwv56+HCcDl4SQSbSSlaEc0pOKbN5cws+RvNoaDMgaz0XXf5ziCzrdw8PCBU7bt4k+/MtUK1FrK6Xj9Q/3bPjYWUlGums3XljccntnPWnih3PCzQHqAJAm4MZ7eNghlpVDH/EoNy3kdkiRgpDfW1v5ANOivrwQDMhqWH2wCAUe6t0BEdFoFNRmaIkOK+AfXN48DV4s6nv3aNBzHgyAA3/n4EIZ6o3BdDzNLflZwSfLnmdu5O1dqzd9ikTqujm59XCiobNgvPczcbY0gCIiElFYgx9r88DSLhpTWfiCwdXx9WoUC8ob98mhYhed5aBh+8sN8uQ7HcSFJIhbzMnqSQby87n32Jo+3Qt5apY07M0WsFutYzNVQrskY6okiEpDx7NemkSv5bZ1djuKZx4eOtT1EdLxiYbW1Tyrssm541AzLwct3c611yPWVQA9r83uKHNN7Cqj+PtBaIMfm+7GfcLTSWmO+PJI48GtFQ0f/nhzHxSuTOUzOl1GpmUjHAxgfiOPqWHtrzmvikaNZo6Lz6fZMAaXmOkg+1sClNpJWnTYDmUirEoemSujLdF8143LNwKv3C/A8YHa1ijc/NtjpJh1IQJUPvV/HII5j8O+fvYX/9tUpiALwD//2k5gY3DnDDdFpJksifuRd1/DE1R78y09+E0t5Hf/kN7+Ed75hDH/n3ddORbk62qhWtyAIaGZTMVGtW8jEg5DlvRe8FFnCtfEUVot1KPLWEucAWuX/AKBYaeD+QhkD2Qg0VYbSxmsA/uETWRYx3BNBuWZiIBvBUE9k159xXQ96w4LaxiG0fLnR2pj2PD+K++1PjeDeXAnRsIqro/sbfAVUGdfGUsiV6gio8r7Lx9P5EAurGO0J49ZsCbIgtIKgSlUTtuNuWHS2bAeG6SCoyZB2WIx++novoiEVVd1EfyYEQGh9/l6ZzPsBHADg+dflYYI4cuUH1Wls20W5Zu4r+LRu+NVqNFVCw7BxYSjRWkg9iiohRN1MFEW84/XDePleHpIk4qHxFBzXay14uZ6HXKmBVCQADx4s24EqixgejGGoJ4KgJsMwHbw2lQfgB0rdmSnhscs9p34zi4jaMzEYRygoI50INMfafgbClUIdF4dd9KVCCKoyLg4nkIptfzi5YdiwXQ/hgIxr4ymEQwpWi3X0Z8IYzEQgigIcx0Xd8Kv+HHU2w3y50drQdZt9HIM4iPYvV9r5WsqtBUPAn+OWqyYCqcMt604MxCGLAgzLxWhfZMvcZG2cb1oOhnujqOomQkEFHnYP0l5bl+hJhiCJAmp1C/GItuMakiKLuDqWxMxSBQFNxnBPdNvHbce0XeRLdUSCCteo6Ewa6ongzkwRiGrQVAmO7WFiJNrKpNzO3D2oybg2nka+VEdAk9GTDG0YOySjAVwaSfiZGZvZDwG/YqDrejBMB7phYSFX3TWIQ2/4B+/aHQPMLD/IFler2xjMhuG4HqIhtXWAayee56HWsCGLAiuAEW2ylNehKf6BnvWVdqaXKjsGcQxkI5BlEQ3DRioehOO4KFUNBDUFQU3aUB1wN+vHMo7joVg10LfNNZor1xHUZAz1RFCrW+hJBrdNFLW+rxIE//DRYl5HfyYMRRZgWi4S0cC2VTj22k9Yv49CRHSUbMdFw7D3tW/aDkUWN+zhbu43p5eqsGwXtu1AkiTcXyxjqDcKURTQmwrBtByEQ8qGzN1r1lfhAIBy1YRlO1vWjzRFwvVmG0RRhCT6ifXWz8XW3n9gH8EYV0aSuL9QhuN6GB+InfpMyJGQiqujKRQrDYSDStdUkPM8YLQ3ilrDXx/sTYXgef58wbJduJ4H23ahGybyZR19qT585+NDmF+pIp0IHGofcrOd5vJrn8VIUMVA1q++NT4Qg6LKrX1HAK3AJCJqz0H65uPWlw5DlkToDQvJWODExuWlirGhInCu1DiyfrwvHYYkiqgbx/OeCuUGbMdFNhnCtfEUVgp1yNLWc12CIKAnEUSlbiEZ0WCvq6K1X/0Z/+9UNyykjug91Ro2GobTmq+WdRPlmgnTcvaVkKxUNdAwHWQTAVZnon2xHRelqgnD9BPTFsr+GkK3Vfb+vjdP4I++eBf5ioF3vXEEkWD37Y/UTQfJWACGYSMcVJAr1vf+oTOKK9xH7A//4g4++ZmbAIAffd/DePo6s+RS97s+nsa//pnvwv/5X17Cs1+bxp99+T6+8uIC/t57H8J3Pj546hdTzovJ+RJWCv4NTRSB16b8aMVoWMW73jAKtY2ov6AmY7h35wMT0bCCim4iX26gbtj48ksL6E2FkU0GcXU01VaGsIAmo97wFzD7gyoGs5FdP0OO6+HVyRz0hg1BAC7tkflv8+ZtQJORTYaQ3WfFkPWOIvsZnW35Uh3/8XN3oDdsVOsm3vBQP7KJEBRZ3FCJolq38NpUHo7j+QveE6ltD1KKoogbE+ltXyu+KZvCYavDBFUZZTQ3dYWt19Bu5leqmF32NwdKNcMPGpP8Q1jcBCXyhQIqnto0J9AUCbphYXa5imLVgGk7KFYMzCxVEQsruD6Wxg+89RIA4OV7q1gt1mHZHizHwUAmghfurOL6WIoHlojOAFEUMJDxA5r70iG8ci+PXLmOqm4hHJQwkI3i2nhqxwCO5YKO+wtlwAMSUQ2ZeACligFZFKHXbUiSf4DrlckcDNOBKAq4Opo80sPOm7OLBNk3ER3I5mtn/ddBTW4FgQL7G7PvZKVYx3JzDWF6Cbg0nGjNzdfG+YB/MDse0VrZzXbLcrZ+XWKwJ4LBbGTPjdC17HDlqolSzUS4zYPpDdPGZ748hYpuQpIEvOXRQQztsp5B1I0EQUB/Nox7syUs5vTW1/s9QBUJKq1Dzsv55tgB/tjh0nACyWhgSyWbgCahXDPw7dsrcBwPs8tVDPZEt800PLNUwcJqDQDQmwphtD+2Z5vWMuoDgKpK6E2F20pC43kebs8U/T5RAMb6YujZJhEN0Xn0uW9MY37FvxavjCU3ZNveK1v65sPA0ZCKV+/nW8EOF4cSewZYBQMyUF739Q7jlaAmo1w1EQooCAUU9G+TLXL9PCceUXF5JAlJEjGY3T0ZFLD3fsK9uRJWmwcDhnoiGGjjOYmI2mFYDl65l4Nlu5AkAdfGjrZS6W57uEFNxlJe9w+gCQ8qbgQ1ecMcbru5pCAICKgSGoYDwK/YLu1wGDIUUNCTEradi9UNG69O5mE7bivopJ2MtAu5WitxwexyFeMDpz9BaiysHkklkpNSqhq4Ne2fGwgGZFzvSUEQBAjCg2Rss0sV3J4p4u5cEQKA1WIDb396dMcg0IPabS4vCAI0VYJhOogE/QDzdDwI2/WgyhJM2/+MMokDUfsapt1KEClLft98Wtbv/fW/kw2E23wfPOrfhZ8Q9ujf07deW8bL93IAgJE+vxrRTmMCz/OwWmrAdT1YlosbFw53nu+o35OmShAEv/qzaTlQZQmyLO4rwOjWdAFfe2UR8Pz2vePpEQZyUNskUUC+3GitC/SmQ10XwAEAf/7NGXz1lSV4HlCumfipv/koZPl09O/tCgdk2LYLURRhWs65rrTOHuwI/elfTeK3/+vLAIAfeddVfO+bJzrcIqKjEwoo+KkffBy/+PffhKGeCIpVA7/6u8/hZ//1X+LFO6udbt65Z9lO66AEADx3c6lVjaJSMzG93H5GCsdx4XnbR2N/xyMDGMiGoSoShnujkEQR+XIDjuNhKa/Dcb1WGd2dXBpOIBUPIBHVcHUsCXeH11pTqhrQG34ErOcBi7naro/vSYYw1BtBPKJiqDeybRYvoqP2rVvL0Bs2HMdDUFMwt1xFMqbhymgSzrprYjmvtzZPDcvZkFG3XUO9UTx1rQ89qSAujybx+OWeA7fbcT0MZCPoTYcQj6i4MBjfNnvdTuabhzTKNQP5UsPP9OS4G/ojInrAbt5jr4wmocp+udvrYymkY0HcmysiFJAgSyJuzxaRL9VhOy4quoUr4ymoighFlnB1JAHbdrFyjjMREJ0FnufBWZfxyXZcXBtLQRQFhAMKelNBVHULyWgA7tYkiS0LK7VWtttixcD9hXJrHlCrWyhXDeRKdRimv8npuh4W8/qRvpe+dAgD2TDiERUjfdE9D3cR0fbWX0uj/bEN19JgNoL+jP+98YH4kRwWWVh9kAW/WDFQN+xWJrq1cT7grwddH08hkwji+kQaN8a3lrZvmPaWdYn5leqWx22nWrdQbpYuhwfMr7b3c9OLldYBcMfxcLNZuYzorJkYiMF2XYSDCgazYeRLG7NG7mXzWt38Ntf+dpLRAEzbhSKJiIZUqLLoVwXZxHW9VgAH4FcBcPZon+24+K4nBjGQCaMvHcZbXze0ZwDH2nvWG/aDoDYPG16b6DwrlBuYW662rvfJ+TKeeXwIfekQRvqieMtjA63HbreGv3l+Uq6ZqNRMeJ4Hz9s4NthJfzrcGq+MDcR2DPwc6omiNx1CIqrhwlB824OYC6sP5jmlqolaY/u+aju77SeYltM6qAEAc22OV4iI2pEr1luVLhzHawXN74frehv2lNoVD6sY7Y0iEdEw1BNBOu7PJ3tTobbmkpdHkkjFA0jGNFwdTe56kG1tLua6fuWGtbnYckFvjdksu719Is/zNtxjVgr1bauFHMbme9x5tJCrtdYL6w0bxaqx5TFKs5IX4AdZW7aLVycPNs92HHfH8wJ7zeWvjCSRigVae6yiKECVRbzl8QH0pcMY7Ingu58c3vW1dzrnQHQerRTqsJvXtr+Hf7R7A90mFvbvh/GIir50qK0g8dPglclc67+nFyuo6uaOjxUEP2lHKCAjGdt9f2nN5r6zYbY//9ovTZFweSSJ6+MpDPVEcHkkuefYY7NXJ/Ot+eJKoY6lI97zorPNdT2EgwoiIQXRkIqgJu95zvE0+vLLC83r1sNiTser9wudbtK+XRhJYKw/hnhIxbWx9LlO1NNd4TenlOd5+IPP38G//eNXAAD/w3dfxN982+UOt4roeDx8IYN//TPfhT/48zv41Gdv49Z0Ef/kN7+EJ6724IfecQVXx7Zu5tPxEwUBoii0BhaasqkahdJed7+WNVOSBFwaTm5ZzLNsF+GgikhIwdoQeq3KQKlq4LmbSxAAjA/Ed8ycGVBlXBxKwHE93JoqoKKb0FQJV8dS25Zl3xxx3U4E9kAmAmT2fr9ER0WWJcyv1mBaDmRJwPWxFMb647g5lUe9YSMUkHF1LAVZ2jj5PGjJ0itjSVwZO1zp4rVMmaIo4OJQAqN9e2fK3EyWBJiu52dlEvwqQACOtEw40Vnguh5uzRRQrppQFRFXR1O4OOzfCy3bQUU34ThArmQgqNn+goEqoVQ1MDlfguP4AVcCAE3zA614nRF1r2rdwq2pAmzHRTyqoViq48svLaJu2jBtB4PZMKp1v3RsKhbY9XqXZRGG5QdooJm9yHYeLLArsrglaPqo+w9BEDDUw+z3RIe127UkisKuVTMPQpZEmJa/i+fBw53ZEhqGDU2RNvQbnudBliS/P5JE2I4HtdmN6A0Tz35tBpWaiWhIQTYVhCxKredvtx3rKdLWdYHtbF4/aCfDK1E3UhUZQ9lo60CcKAoQ26yKvLBaw8xyBQKAicE40s3qmWvXPgRA2uVa7UkGkV+XfCKgbr0+BQEbsv2LorBjxV3TcnBzKo98qYF82UB/JoT+TASZxM4bdFbzYODa2srYQAwQ0Nqsb6d6B9F5YDsulgp+8piAKmG0P4bBbGTLoaS5lSrmlqsQBODCUAKpWAB6w8JrUwVYtusHVgzGcX+hjDuzRciSiKGeyK6Vsde0O16RRGHPdUhZEmHgwTxH3seBnt32EyTRzzq+NtTh2goRHaWt/c/+MvquFuuYnC/BAzDSG21VSGj3tccG4hhb92/P317xKxqEFFwZTW2oGr/Z2t5tOxRZRK5UR8N0IIlCq6KSsnlu10YfKwgCZElsHTAWReFIMyHX6hZemy7Atl2kYgFcGIrvOFY9y9rZaw+oMnpTQUwtlVGtWVhR6pgYTOz7taYWy1jK6RBFAZeGE1uCOjfP5dXNc3tNxsXhB69rWg5emyqgbtjoz4RxdTS54xxm/TmHyyNJRFmxg2hLX8w5tF+5wa8u0T1URWol6hIEQN3l76jIEjLrKiPvtUa7vu8c64viq68sIV9qIBJS8PanRo6l+lE8osF2XNQNG7WGhVKzUmO7ttw7uC5M+yAIAoKa7J8rhL+u2Y2VOGRRRK1uwfUAVRW7qkrcGqNhYyFXQ8NwIK5U4HVhMM1R4d35CHziT17dEMDxd773+rmc/NH5ocgSfvDtV/Bb/+Tt+N43jUMSBXzz5jL+4a9/Af/o17+AL7+4cKAsIXRwkiTiwlAcAU1CMCDj3d8xhmwyiJAm4/pEulWGdDdV3WxlRXEcDzNLW6t3TC/6G799qRAEAUhGNYz2xRALq/7hMc/fALm/UN7ys5utFuutTBuG6eyYpTMWVjHUE4GmSIg1s/sSnTbxsIJoSIEiC4gEFSQjGhZzNdSbWd/0ho2lvI7BbATJmAZNkdCbCrWyIZ20umG3slW6roepxb2v2e1cHE4iGJDRkwri4Yk0gpqMVDyA3n1sLhCdB/lyo5Vh2rRczK5UEY9oGOyJoFKzoMgiLg4nIEsiJEnE5ZEEZEXGzFIFfakwVEWELAq4NJKAqojIJIKsNEXUxWaXKq2DmJNzJXzz1goMy4EoCFBlCaIkoi8VwiMXM3te7xODcYSDCjRVwnh/HJdH/EBsTZEw1BtBJKQiHQ+iNx2CpkhIRLWuyS5FRMdrff+RiGhoNLPxG5aDkCYjGJChqf48vNHcJKwb/qL6mpfu5VGp+WOcim7BdrzWusSldYcudhPUZIz1x6ApEiIhBeMD7QWXj/bHcGU0iZDmz0eeuNq7j3dP1F0uDicQ1GQENAmXhhNtbSxatuuv7TXX6ibn/Xn/+mt/YiC+bUKVNY9c6sFgTwRBTcJYfwxXR7cmkxAEPxFMO+1b25RbKdShNzfpl/M6anVrxzZsXlspVU2M98ehqRLCwfb7DKKzrlg1cHEoAU2VIUkibkxsTbZlWg7mlv01+PVr+LPL1Vbm7bXqfqblIJMIQoB//x/tP9lrbX1fNdYfQ0Br/1DObvsJkiTi4lCiNV5p98AyEVE71g6FqoqIVCyA/sz+1l9a1VU9fz92P9XXNrx2PAAPQuuwZ1W3jjTzeiysIp0IQlMkRMMKelP+flBfOox0PLDv9etLwwkEA/5Y8uJQYtdgk/2aXa60AkTy5ca2FSjOg9G+KGIRf71wsCeybbWsicE4MokQUlENyZiGRDSAnn0ectYbFpZy/mdtp73HzXP5J6/17fqcC7laq3pgrW5haYfPcmXTOYfpxa3nHIjOo55kCJmEf39IxwPoS3EPvxu95bFBRMN+st3veGQA6i5BCwOZMJIxDaoioicVQiax83mUzX3nl15YbCXzqOoWXryzerRvZJ3J+Qfjnpml/Y173vhwH1LxAIma8ggAAQAASURBVEKajCeu9rA6PO3LWqBpQJMQ1GRcGj5c8txOefpGLyJBBQFVxuXh5K5Jck6r27NFuK4HSQTqpoN786VON6ljGIp2SHrDwu9//jYA4O++5wa+/7sudrhFRCcnGQ3gx3/gEfz1Zybwqc/exuefm8Wr9/N49d9+DdlkEG97cgRve2p4X5lC6OCS0QCS0QeD03e+Yfvfe7lm4v5CCZ4LDPaEkS8bqNUtqIqIfLmOYsXwNzN2ya4RC2uIhTVcH08hElJhOy6++dpyKwteO/azBDeQjWDgEIfNZpcrWCnUEVBlXBiKb4nMPs1ypTpml6oQRQGDPREs5mowTAe9qdChfid0tERBQG8qjERz4XN2pQrLdSGKIiLBB1kDPPibpK7nbcmKfZIOuwT+5Rfmm4fQVTzz+NC5ym7geR7uL5RRrBgIBxVcGIzvmrmUqFBu4JXJHBZzNaRiQZRrBlaKOjRFwmKuhqnFMlzXQyyk4nVXe9CTCiEWUnF7poA7M0WoqoTRvhgEQcBDFzIdv97qho17cyVYtoO+dJjjPKKDWHcjtiwHuVIDqyUd9YYFDwI0RcTjl7J45FIWhungxTurEERgrD++JZNKUJNxYyK94d+2q4442hfD6O57okR0zoQCSqv/WC7oKDUDTte+NzEYBwDMr1Rxe7oIvWEjoEkbDnFsmVd4gOcCEL39LA+gJxVqq1T25nHIU9f78NT1rZ2b53mYWqygUG4gHPTfy05Z54oVo3WwZKw/tu1hluOiNyzcmyvBdlwMZCLnulw47S4WVvHwxf2VnBUEtCpWrBTrqNVNRIIK+jMheJ4Hb5d1ieWCjvmVKmRJxOtv9O2ZDXG79jUMG3fnSjCttXlDCHPLVUwtllEoG4iEtn9OvWHh7lwJjuNiMLt9IpduzJpJ59t+15I2Xwftft4HMhEMZCJYKdYxv6LDcYALQ3Eocvtr4Z7nYW6livmVWquiR6Z5UHcvtuPi7qw/ZkjFAlsCP6YWysiXGwgFZFwYSuyaEXa7ec5+7LafkIwFeMiHiI6FIAgYH4gf0ZM9+M+VQh1zKxU/od9gfNux2ebXbifZ3mFcHk7icvPAm6qKuDdXQqnqj/Guj6dxf6GM52+vIBHVMJAJ495cGeWagbphIx7R0JcOtyp4REMqHr6wv7HuQQmH3h3b33zzuJWqRutvvdt8VpElXB3dul64eY59eSSJQqWBim5CU6RWxn7X9TA5X0K5ZiIaUjE+GN812MayXSzmaqjqJhZzfoK7C4PxVlDmTnP57Wx+lXb/hsy5S+QTRaG1xtfN5laqWM7r0FQJF4YSbc1PjttJnhnoS4fx3mcu7KNta/+3+wptJ7vKumFjfrUKuEA2tb81Hs/z700ePCaY7oDFXA0LqzWoirTh/t5NWtcIvD2vk9NKkSVEQipM20VYk7ty7CML4obKaUIXHrs6qrlBF7710yUUUPA/feB1+Gc/+kYGcNC5NZCJ4Kd+8HH89v/6Drz/bZcQCSpYKdTx7599Df+PX/zv+Ee//gX85z+/08r6Tp11Z7aIhuHAsBx8rVkKz7Jd5EsNFCsGbMeDbbvbbuSO9kVbN5veVKhVOk+WRIz0RgHBXxRpJwteOhFELOL/fECTji0goVwzMb9Sg2W7qOjmgSsOdIJlu7g3V4JhOagbNr784jyqugXLdjG7XG1VMqHOSydCkEUBjuuhrJsIBiSEAgry5To8z0M4qKA3FcLcShXFigHLdrFSqCPXzGRw0gKa3FogF0UBY/vIpndnpoC7cyUYpoPlfB3furl8XM08lVaLDawU6rBsF8WKgbkdqggRAYDjerg7V4KqSFBkCa9N5WHZLuJhDS/eWcW3b69AUyXohoVqw0QkpCAeVqGpEqq6hXQ8iGrNQlk3MdgT6XgAB+CX1a3VLZiWi+nFSisLFhG1b6Q32ipjLisihrJh1OoWqnUbruOiUG7gtekCbk0XcGe2CMNy0DAc3JktdrbhRHRmZeJBxJvzc02VMJDdGKRp2g5sx4Vpuxt2925MZFo/F4+okCQ86LNmikfeznbHIblSA8t5fc8xu+t6fj9rOjBMv589yU2byfky9IYN03Jxf6HcqoZCdBTW1upqDQvFioFULIByzcRXX1rc8LkzLGfDzxmW08zC70Jv+Ie6DuL+Yhm1utWqCLKWCVcWRWiKBNt2EY+o6E2HEF6X/OLuXAn1ZvsmF0p+ZsWAPw9aW1sh6jb7XUvafB1svk63M9QThaqIqNYtWLaDgCqhXDM3ZKFWm9X6IPjrgePN9cDhXv9nAX9tX1VEf12ibqGimxjqaW/dfm65ilLVhGW7WMrryJXqre/lSnUsNe/NparZqghCREQPjA/EWoG4I73+fqxhOZhcKMG0XNQbfpBsOwYyYQSbB+piYRXZI6zqnIoFkIz5wQKqIiKgylgt+ve5QtnA87dXNuyDvXBnFRXdxNxKFbPLVZSqBmaWKtAbO1djOyrD69bgUvFAa/56GO3ON4+b53m4PfNgPnt7Zv/z2fvz5Y1zbNOCZblwHA+W7WLt6ZYLOnJr5wnKDSzltj/zEQoo6M+EsVLUUa2bsB0Xy3kdywX9wIFF/Zkwgs35QCSk7FgdJBpSW4GvrXMLRHQmVHR//mDZLqq6haljDlRs10qxvmGeN39KzsPNr9Y23IdXivUdHxsJqa2kMrIk4pnHBpCO+31pNLT/hCL74boebNuD5biwbXdfASVffmkBxYqBuuHg+VsrKJQ7c+bmPNIbFqYXK7BsF7W6hftddP5uzXZ7At3olXt51OoWDNPBvQU/YLrbPPO6IYSbiX760iE8eaX7shEe1dyg86eAzoDvemKo000gOhVSsQA++O7r+FvvuIKvvLSAZ782jedvr/jVOe7n8W8+/TJG+qJ49FIWD02kcWMifaIZDl3XQ8N8sCEuCAI0RYJ4hGVZTzvP8+CsK0NnO25zQcc/fK4qMhTZhSJLEKWtv5dISMUTV3vgut6W31tfOoyeZAiC4P9u9yKJAq6OpuC43pGWxt1sc9k92+6eKFrHfbBABgCmtem97KOkIB0vQQAmhuIoVQ2sFhuQJam5SBjDo5ezrWwQjrPx89fJv+FwbxSD2Ujb1+waY9PnsNHGRvJZsqVPcbqnT6GT57qef88UBAxmI/A8r3ndCbAcF57rQVZF9KbCSCcC+GtvGIPnAVOLZawU6tAUCaGAjKAqbcm+3ylbrwHei4j2KxRQ8PiVHjiuhxduryCoylgpNTC/XIFpu6gZDhqGDdNysP60tMPrjYiOiSgKuLLL/DwSVAGYCAWUDXPUUEDGe95yAabtQoCHb7220vrecYwR2p1Pbf73zT+3xoM/Xlv/OM87uYydW8ZVzBxHR2QtcMK0HQz3RhHS5Na8f8NhcK85vliXwdJx3A2Vdg96Ldv2xp8zLAeyJGK0PwbX9dCTCmKsP75lfXHDz3n+SOihC5ljXz8kOk5b7kt79Pebr4PN1+l2GqaNgCYjFnYRVKXWNb/5tQcyEfSlwhvWA4OajMcu+/OT5byOmaUKBrMROJ6HvlSo7aya1i5rZpvXzzY/loiIgHQ8iFQsAM9Da4y0ZWxmt9d/qoqEhy8ezxhKEARcGk62nnvtoJLneciX/SoO0ZCGdNyvemRYDlRZat3/1v7XavO9HMb6Nbij+j1s3XfuzD3N9TbOZ13Xg+sB22zv72i7PfTBnkjrHIDYHCts/lvtdh8f7o2iVDPwyt0c5is1OK7/OT7ovV+RJTzc5nxgfCCO0b7YuTr7QXQebO5nd1rnO2mndb+03XXRNWP9MYz0Rlt957u+Ywym7UKVjzcvfCgg4+KQXyVGEAS4nod266s0DBuFSgOO6yESVDacA6TjtXlM0Klx0GF4nrdxT2DtPEe3jR8EIBnV4MG/hmr17rsOUtEA/vqbJ1CsGOhNh6Gqna+ytF9HNTdgEAcRHTlVkfDM40N45vEhrBbr+MpLC/jyiwt46V4O04t+5rVPf+EeAKA/HcbYQAzj/TGM9MeQTQSRTQQRj2h73iAd10OtmQ2qXDVRrBoo1wz/f5tfl6oGSlUTpaqBcs3cskEiCEAkqCAaUpGMBdCXDqEvHUZfKoRHL2eRjJ6tstpC8xDpbDPT1eWRJGp1C47jIRz0M6U0TAd109n1xrLT3+Ygg5rj3oCNRzSEgwpqdQuiKGzJKHqaBVQZ6XigVa3hxngKpZoJz0MzW/vJBUHR7iRRbGU0EEUBXnNVvTcd2lDOsy8d8ieUjgdNlVqZDDrlINfshaE4bs8UUNUtyLKI6+PpY2jZ6ZVJBLBc0GGYDiRJQF+aWUBpZ4osojcVwlJeB+AfPirXTLiuh9HeKAT4FaMkScBDExkIggBB8KtdFcoGphcrcBwXoijitakCHruc7Vhp9jWD2Yif8c3zM25H1mXNJaL9kUQBgz0RWLaDvnQIuWIdjmtBU0R4AEb7Y6gbDpabfcjgMVWuIyJas938XBDRrNrpwrLcbQMc1jb1elKhB31Wm1m792MgG25rHJKOB7GU33vMLon+9xZzfpv7M+ET3awZzEZwb95/P4mohnCAS/V0NCbnSyhW/OxrnudBVaTWesWNiTRWSw3AA5IxDaHAxusoFFCQjGkolA1AwIEr5w5mI83qNn7259G+KOqGDcN0oCgi+tLbX2+DPRE/S6/nJwxaax8DOKibbV5L2quizE7XwU4apo07M/715rguilUD6XgQoiigP7P1Gt7pXieJwoa2arK0r+o3fekwSlUDjuMhoEmtw7sAkI4HsJSvoWGs3Zu7Z42eiOgkra0PrwkFFKRiAeTLDUDY/9rQcY6h1p47mwhipaBjKV9HsWqgJxHEUqEOWRLQkwphYjCO+wtlpGIBFCsGwgEFsbCKaOjkkhYd5e9h63yzM/c0SRTQnwljoZn5vT8T3vf7XD/HjkVUDPdGUKtbqBu2/94y/nvrSYVa1VZkWUTvHpVdPBd+JU8A1boJWZYOva7Z7nvrugOYRLSn9ed9BMHv706DbCKIlXy9lbTitFQOXdtjth0Xmiohk9j7zNvmvvO4AzgAf947u+SfW+tJhaDI7R/ejke01ppTUJORiPLc1EmJhlTEwirKNRPCIdYNO0mSxA17AgMnvCdwVJ6+3ovPfWMG8IDBbBhj/d1XhWx+tdr6O0wtlKEpUtddz0c1N+DOEBEdq0wiiO978wS+780TqOgmvn1rBS/dXW0FdCzkaljI1fDlFxc2/JwsCQgFFARUCQFNhiyKsF0XjuPCdjzoDQvVuoV9VgXdwvOAim6holuYX63h5Xu51vcGs2H87//47Yd7gVNoIBtBKhaA63kIBRTYjgvDdGBaDlwXMC0HouiXvz0LJFHAtbEU6oYNVRH3Nfg/DS4MJdCf8QNQAqoM03Jg2S6CmtyVA8mzynFcjPbFYNoOFFlEMhbAaF+sVa56TSig4NFLWRimg4Amd+UhhIAq491vmkCp0kA4qCJ0zg4aKbKEhy5k0DBsaKrU8QP1dPqN9seQTQYhCgICmgzLdmBafj/+0IUMCpUGwkEZocCDTatQQMEjlzJomDYEUYAkCHBdD2ZzIbCT0vEgIiEVjuO/h/1U8iGirXqSIcQjGq6NpTCUjcC0XEgiEAyoSMeDkCURPev6ECKik+Y4Hsb6H8x1dluHGeuPHWuflY4HEQ2psPcYhyiy2PaYfaQvhmzzAMrm+dtxyySCiIY5rqKjVzc2ViIeH4hDkcXWuthgjwPHcXc8GH5pOAm9YUGSxA2JKfYjGQvg0UvZDddrO9fl2thot/YRdZv9riX1JEOIhVW4rtfWdWCYTuv+LIkiBrIRXBxKHGgt/DDrXpGggkcuZmFaW9c9ZUnEjQn/eVVFgnICh4KIiM6Ki8MJ6I0H+4Snjar4lRICWhGxsAJJFBEKKkjHg7gwlIAkCohH1Oaal59pu5vnP/uZbx634d4oMgk/WdxB5rPbzbGvT6S33K81RcIjFzNomE5b71mRRUwMxjHcGwEg4PJoAqnY2UqcSUQnRzyl530UWcJDF0/H/WC9tT3m034eZSATQSr64NzafmSTQbz+Rj8sy0EkpMCyPQS769x31/IreidRN2zIkgj1gOuGnba2JyAAXbv3+uS1PowNxFFvWBjIhCFJ3fe3aJjOpq9tAN11MR/V3KA7P4VE1JWiIRVveWwQb3lsEICfeXpyroTJhRIm58uYW65ipVhHodKA7Xgo10yUa3s/byggIxZWEQ9riEc0xCPqxv8NP/jvSFCBIArwPA+e529qVnQTlZqJXKmBxXwNSzkdS3kdj13OHvNvpHPWD0JkSYQcFBFQJQQDDxbN0m1EZHcLURQQ7uJM4esnLaoide1A+CxLxgKYX61BFP0sSf3p8I4LpmvXXDdTZbF10Ok8krq8T6GTt74fV2SptcAoisKO15IsiRjsiWCpmX0gHFROzSadpkgA70VER0ZTJGiKhOG+GPLNCmyJqNZa6OEBRiLqpFQsgMWc3prr7FVN8Lj7rHbnxPsZs5908MZ6HFfRccgmgq0qvEFNRjSsbti0b+dzdxTX8ubrtd3rktcFnUX7XUvaz/w/ElQQ0CQ0DH/zO5sMHmrd6jDrXoos7higwfU0IqKDO+1rQ5IkYigbQaVmwvP8NfDBbKQ1Bl2/Jn4WnKZ72mHns+2O2SVJRLjNvc10PIhyzYQs+eOCzB7rCEREezmt531O0/1gvW45j3LQw/OZeBANw0FQkxHU5FP5NzjLBEE49WPTdnRyT+CoZOJBoIvHWel4s+KgB0iSgESkuwI41hzFvaD7P41E1LViYRWPXs7i0U3BErbjolA2oBsWGoaNhuHAdl3IoghJEiBLIoLNwI1oSD1URHNQk5n5oUmSRFwfT6NUNaDIEmLhkytjCwD5cgO24yIdC0A6JVHqRO3yM+qnUdUthALyqZ60VHUTesNGLKx2bVQ50Xkx2hdDPKzBcV0kogE0TBtV3UIkpJzqfoaIDubCYBzpWAAegGSzXCzHyETUaaGAgocm0qjW/blOQJWxWqwD8AM8WCGS6PQZyEYQDvrVd+MR7dRmXTwo23GRLzegSH4lVKLzrpPr+pbtoFA2oCoSEtHu3GwnIqKjEQmpeOhCBrW61QwwPN79p4Zho1wzEQrIiIROdk/7rDEsB6WKAU2VED+Cw3PZZBBBTYJhOYiF1TMVwENEdNbVDRuVmolQUEHklAZHnPV1L6J2FcoNWI6LVCxwaqoB7UcyGsBDE2noDRvRsHrgitBnAU/uEdGpI0sisskggO6NFuxWsiTumVXzONxfKGM572caX87ruD6e5kEQ6joBVT41WfJ3ki83cGemCMDPWHFjIn0mIsyJzrK1QxAV3cTN+3l4HiAIwLWxFDeniM4YQRA2HERcP0Zeyuu4wTEyEXVIQJNbB3BuTRdQrBgAgNVSHVdHU51sGhHt4CgOX51Gjuvh1ck86oYNAOhLhzDSF+twq4g6rxPr+rbj4pV7eRiWXwFkqCeCgWzkRNtARESny1pG7ONWN2y8fC8H1/UAABeHE0zaeECm5eDluznYjgsAGBuIoWeH6uH7EQmp4KiAiKi76A0Lr0zm/furAFweTp7aYP2zuu5F1K6ZpQoWVmsAgIXVGh6aSHdlMsBQgMlLAaD7/nJERHSqOY6Lcs2E2dy8aUeuVG/9t96w0TDt42ga0blj2f71uLb4mi81Wt9zXQ+lqtGpphFRm/SGhapuIl+qw/P3pOB5flAWEZ1dlu1idqnSuofXOUYmonU8z0NFN1uHmE+K43qtAA4AKFdNOM1+iojOtoZho6KbrYNynVI37A19H+dFRJ1Tq1utAA4AyJUbMC0H5RrHB0REdLxKVWPDuHS3MWHD9MexTofHsaeB6/prCY114+lS9cEeIsDxNRHReVasrLu/ekChsvWesLZv7Xm8r55X240n6OStH7MZpgOdf4+uxtTLRER0ZCzbxSuTORimA1EUcHkk2Vb59pCmoKKbAABJEqCe4xJZREdFb1h49X4ejuNBlkVcH08hFJCRLz94DKtwEJ1uC6s1zCxVAPiHNQXhQQZ+ZiQgOrvqho1XJ/NYyuswbQfDPVEEAzLHyEQEwB8TvDZdQLnqz6HH+mPoSR0+S2Y7JFGApkowTP/ApqqIXZndiYj2Z7mg4/5CGfCAWFjF5ZFkx6qDaYoIURRahwq4rkHUOZoqQRCwLuGEhxfurMJ1PWiKhOsTKSgy5zBERHT0No8BQzuMCQvlBu7MFuF5QDAg4/pY6tzOYV3Xw82pPKq6BQjAxEAcmUQQwYAMCACa93OOr4mIzq/N94DNXy/maphe9PetE1ENl4YTG/au6ezbPJ64MBg/8aqg5AtqcmufRhQFaNxD7mocgRMR0ZEpVBqtQYLreljK19oK4rg4HMfschW246I/E4F8ThfQiI7SSrEOx/FXXW3bxWqxjsFsBK7nQW/YSEYDLDNJdMqtlcAEAEEQkE0GYdkuYmEVmQQXRIjOquWC3hwXh7Fa9CvWXRlNcYxMRACAWsNuBXAAwEKudmJBHABwZSSJ2ZUqAGAoGzmx1yWizlnM1VqHuso1E7WGhWho7/W+46DIEq6MJrGYq0GWRAz1RDvSDiICAqqMyyNJLOV1aIqEhuWgYfgVuwzLQa7UQF863OFWEhHRWRSPaBgfiKNQaSAUkNGf2f5+s5jTW8GG9YaNUs1EKhY4wZaeHtW65R+4BADPX0vIJIKIBBVcGIwjV2ogqMkY5DyfiOjcSsYCGOuPoVg1EAkq6N205jy/bt+6WDFQN2wmHTxnKrq5YTwxv1pjEEeHTAzGMbNUge246E2FmQiwyzGIg4iIjoyy6WBZu5m2FFnC+ED8OJpEdG5tdz0KgsADDkRdRJHFVilzQQCGeiLMYkl0Diiyfw+XJRF96TBG+qKIBLkQTkQ+WRI2ZMlc6zNOSkCTcXEocaKvSUSdpUgSGvCTtkDYut5w0qIhtWNBJES0UTyitZLETC2WUVr3PR4gICKi45RNBpFN7n5ocPN8+aTnz6eJLG3MlL7+d5GOB3kAk4iIAAA9qdCOCYMUWYRtP9i3ZuKx82fzWEo9x2OrTpMlkecszxAGcRAR0ZFJxgLoz4SRL/uZT4Z6mK2DqFP60mE0TAcV3UQ8oqFnj8VsIjp9LgzFMTlfhut6GGQAB9G50ZcKwzAdlGsmYmF1S7YjIjrfAqqMiYE45lerUCQJ4wOxTjeJiM648YEYJufLsBwHfekwAhq3lYhoq6FsBJblotawkIoFzm2mcyIiOj1G+6NwXBcN00FPMnSuA4FDAQVj/TEs5mtQZQlj/VxLICKi/bkwGMf9hTJsx8VgNsLA/XNoy3iCQQRER4Kr7UREdKSGe6MY7mWmf6JOE0UBE4OcNBF1s1BAwY2JdKebQUQnTBQFZk8hol1lEkFkEgzSJqKTEdBkXBtPdboZRHTKSZKIi8OJTjeDiIioRZElXBnlOHbNbtnViYiI9hIKKLg+zn3r847jCaKjx5o2REREREREREREREREREREREREREREREREJ4BBHERERERERERERERERERERERERERERERERCdA8DzP63QjDuJjH/sYPve5z2Fubg6f/vSncfny5W0f99prr+FjH/sYVldX4boufuZnfgbf8z3fc6DXfO655w7TZCIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiOsNe97rX7fp9+YTaceTe+c534sMf/jA+8IEP7PiYer2On/zJn8Qv/dIv4cknn4Rt2yiXy4d+bVVVD/0cRNSdTNMEwH6A6DxjP0BEAPsCImI/QETsB4jIx76AiNgPEBH7ASIC2BcQEfsBImI/QES+tb5gL10bxPHUU0/t+Zg/+qM/wmOPPYYnn3wSACDLMlKp1IFfc61jffjhhw/8HETU3Z577jmoqsp+gOgcYz9ARAD7AiJiP0BE7AeIyMe+gIjYDxAR+wEiAtgXEBH7ASJiP0BEvhdffLGtx3VtEEc77ty5A03T8GM/9mNYXFzElStX8I//8T8+VCCH53nQdf0IW0lEREREREREREREREREREREREREREREROfBmQ7isG0bX/ziF/Ef/+N/RE9PD37t134NH/3oR/Gv/tW/OvBzWpaFV1999QhbeXa4ngdREDrdDCIioo5xXQ+iyHshER0tz/MgcJxNRB3C8Q3RyeI1R3Q28domIjoanucBANdJiOhc4pjyfODfmYjoaHGflU4T3ueJaLMzHcQxMDCA17/+9ejt7QUAvOc978GP/uiPHuo5FUXBxYsXj6J5Z0atbuHOXBm246InEcRwb6TTTSI6NgziIqLtOK6H2zMFlKsmggEZV0eTUGSp080ioi5Xqhq4M1uE43oYykYwkOU4m4hOzubxzZWRJFSF4xui42LZDm5OFVBv2IhFVFwaTkLiZg5R17MdF7emC6jqFsJBBVdGk5AlsdPNIiLqSkt5HdOLZQiCgPGBGNLxYKebRER0YqYWy1jK65AlEZeHE4iE1E43iY5YVTdxa6YI23HRmwphtC/W6SYREXW9uZUq5laqkEQBF4cSiEe0TjeJzimeKSKinZzpII53vetd+NSnPoVqtYpIJIIvfOELuHLlyqGeUxAEhEKhI2rh2TC5mIMkKZAkoKS7GITMRQMiIjpXVgo6ylUTAFBv2JhfqWG0n4urRHQ4k/MlOI6fYXJ2uYp0IgiNB6iJ6IRsHt8srHJ8Q3Sc5ldqqDdsAEC5amKloKMvHe5wq4josJbyOqq6BcBPhrSYq2GoJ9rhVhERdR/bcTG1WAY8P5Pu5HyZQRxEdG7U6haWcjoAwLZd3F8o46ELmQ63io7a1GIFtu0CAJZyOtLxICJBpcOtIiLqXg3DxtxyFQDgOB7uL5Tx6KVsh1tF5xXPFBHRTro2iOOjH/0oPvvZz2J1dRUf+tCHEAqF8Oyzz+Lnfu7n8Na3vhVve9vbMDAwgB/7sR/DD/7gD0KSJPT29uKf//N/3ummn3lepxtARETUYbwXEtFR8LzNX7N3IaLOYQ9EdLx4jRGdTZvH8BzSExEdAvtQIjqnNnd/7A7Ppi3r/5w8EBEdLXardIrw40hEa7o2iOMjH/kIPvKRj2z591/4hV/Y8PX73vc+vO997zuhVp1Pw71R3J4pwHE8ZBJBRFmFg4iIzplsIohcqYFa3YKmSujPMGMuER3eWH8Md+dKcF0P/ZkwAmrXTt+IqAtxfEN0svozYZSqBgzTQTioIJtgZmmis6A3FUahYqDesBHUZFbYISI6IFkSMdwbxcxSBYIAjPYxYykRnR+RoIJsMoiVQh2iKGCkl5XdzqKRvljr3E02GUSE526IiA4loMnoS4ewmNP9+2cf75/UOdxzI6Kd8BQQHVosrOLxyz1wPQ+yJHa6OURERCdOkkTcmEjDsl3IkgBBEDrdJCI6A5KxAJ6IaPA8DxLH2UR0wji+ITpZmiLhkYsZ2I4HReZ9n+isUGQRD1/IwLJdXttERIfUnwmjJxkEBAGSyPkJEZ0v4wNxDPdGIQoCRPaBZxLP3RARHb2RvhgGsxEIvH9Sh3HPjYh2wiAOOhKiKEAEby5ERHS+8UAGER01f0GR42wi6hyOb4hOjiAIUGTe94nOIt5PiYiOBpNcENF5xoP9Zx/P3RARHT3OIeg04RohEW3GIA4iIuoYz/Pw0t0cJudLuDqWwuWRZKebREREREREREREREREREREREREREREdGwYxEFERB1hWA7+xb/7Br768mLr337wHZfxI3/tWgdbRUREREREREREREREREREREREREREdHxYn4eIiE6c53n4+O99E199eRGyJOLhCxkAwH949hY+/9xMh1tHRERERERERERERERERERERERERER0PBjEQUREJ+6/fXUaX3p+HrIk4J/96Bvxi3//Tfih77kCAPjt//oS6obd4RYSEREREREREREREREREREREREREREdPQZxEBHRiSpUGvi//uhlAMAH330dD1/0q3D8zbdfRn8mjFLVxJ98abKTTSQiIiIiIiIiIiIiIiIiIiIiIiIiIjoWDOIgIqIT9R+fvYVa3cLEYBx//S0TrX+XJRHvf+slAMBnvjIFz/M61UQiIiIiIiIiIiIiIiIiIiIiIiIiIqJjwSAOIiI6MblSHX/2lSkAwIf/+kOQpI23obc8NoigJmMhV8NLd3OdaCIREREREREREREREREREREREREREdGxYRAHERGdmE999jZsx8WNiTQevpjZ8v2AJuOZxwcBAH/xrdmTbh4REREREREREREREREREREREREREdGxYhAHERGdiPVVOD7wzis7Pu47HhkAAHz9lUW4rncibSMiIiIiIiIiIiIiIiIiIiIiIiIiIjoJDOIgIqIT8anPravCcWFrFY41D19II6jJyJcN3JktnlwDiYiIiIiIiIiIiIiIiIiIiIiIiIiIjhmDOIiI6NjlSnV8plmF44e+5woEQdjxsYos4YmrPQCAb7y6dCLtIyIiIiIiIiIiIiIiIiIiIiIiIiIiOgkM4iAiomP3qc/dhmX7VTgeubhzFY41j13KAgBevLt63E0jIiIiIiIiIiIiIiIiIiIiIiIiIiI6MQziICKiY7WhCsc7dq/CseahC2kAwGtTBZiWc6ztIyIiIiIiIiIiIiIiIiIiIiIiIiIiOikM4iAiomP1qc+uq8Jxae8qHAAwmI0gGdVg2S5uTReOuYVEREREREREREREREREREREREREREQng0EcRER0bFaLdfzZWhWO72mvCgcACIKAhy74AR8v3csdW/uIiIiIiIiIiIiIiIiIiIiIiIiIiIhOEoM4iIjo2Pynz96C7TSrcFxsrwrHmocupAEAL99lEAcREREREREREREREREREREREREREZ0NDOIgIqJjMbdSxWeaVTg+8M72q3CsuTKSBADcni3C87wjbx8REREREREREREREREREREREREREdFJkzvdACIi6qz7C2X8zp++ipmlCi4MJfBD33MFw73RQz/v//Xpl+G4Hp681otHLmb3/fOj/TGosoha3cLCag0D2cih20RERERERERERERERERERERERERERNRJrMRBRHSO3byfx8/+67/EV19exPxqDV/49hx++tf+At++tXyo533+9gq++vIiRFHA333PjQM9hyyJGB+MAwBuzRQP1R4iIiIiIiIiIiIiIiIiIiIiIiIiIqLTgEEcRETnlN6w8Muf+DoM08EjFzP4p3/v9Xj4QgaG6eCf/5uvYXK+dKDnNS0Hv/n7zwMA3v3GsUNV9bg0nAAA3J4pHPg5iIiIiIiIiIiIiIiIiIiIiIiIiIiITgsGcRARnVOf+txtrJYa6EuH8E//7uvx9PU+fPRH34DHLmdhWg5+8d9+DdW6te/n/ffPvoa5lRpSMQ0//K5rh2rjpeEkAOD2dPFQz0NERERERERERERERERERERERERERHQaMIiDiOgcquom/uiLkwCAv/fXH0JAkwEAiizhH/7Ik+hJhbCY0/G//advw/O8tp/39kwBv//5OwCAH/+BRxAJKodq51oljrtzJThu++0gIiIiIiIiIiIiIiIiIiIiIiIiIiI6jRjEQUR0Dv23r06hbtgY7Yvi6et9G74XC6v4n//2k5BEAV96fh6f+cpUW89Zq1v4lX/3Dbiuhzc9MoA3Pjxw6HYOZCPQVAmm5WAxVzv08xEREREREREREREREREREREREREREXVS1wZxfOxjH8Nb3/pWXLlyBbdu3dr1sYZh4N3vfjd+4Ad+4IRaR0R0enmeh89+YwYA8J63TEAUhS2PuTySxAfffR0A8H/84YuYWizv+Zy//p++jcWcjp5kEP/g/Y8eSVslUcBIbxQAcH9+9zYQERERERERERERERERERERERERERGddl0bxPHOd74Tn/zkJzE4OLjnYz/+8Y/jscceO/5GERF1gcn5MqYXK1BkEW96dOc+9H3feQFPXO2Babv4lX/3DTRMe8fH/u6f3cSXnp+HJAr4h3/7SURC6pG1d6w/5rd7oXRkz0lERERERERERERERERERERERERERNQJcqcbcFBPPfVUW4/7xje+gfv37+NDH/oQbt68eejX9TwPuq4f+nmIiDrl88/5VTievt6HSFDZ8XGiKOCn/9YT+Klf/TymFyv4P//LS/gH739sy+P+8C/u4j/8d78i0k/8D4/i6mjqSNs7NuAHcbASBxERERERERERERERERERERERERERdbuuDeJoh67r+MVf/EX85m/+Ju7fv38kz2lZFl599dUjeS4iopPmeR6+8tICAOCZx/euZJSIaviZD7wO//S3/gqf+coUQgEFf/td16DIIgzLwf/9x6/g01+4BwD4oe+5gne+YfTI2zzeHwcA3F9gEAcREREREREREREREREREREREREREXW3Mx3E8Su/8iv4wAc+gN7e3iML4lAUBRcvXjyS5yKi7tPtQVzzqzUs5nTIkoDHr/S09TOPXs7i777nIfz2f30J//nP7+CvXpjHxGAcr0zmUKqaAIAPvvsa/sZbLx1Lm0f7/UocS3kdesNCKLBz9RAiIiIiIiIiIiIiIiIiIiIiIiIiIqLT7EwHcTz33HP4y7/8S/zGb/wGDMNAqVTC937v9+KP//iPD/ycgiAgFAodYSuJiE7ON15dAgDcmEgjqLV/C3jfd15AOhbA/+8PX8BSXsdSXgcAZJNB/PgPPIKnr/cdS3sBIBZWkY4HkCs1MLVQwbXx1LG9FhERERERERERERERERERERERERER0XE600Ecn/70p1v//dWvfhW//Mu/jD/4gz/oYIuIiDprLYjjyWu9+/7Ztzw+iCev9+Kbry2jUG5gIBPBo5cykCTxqJu5xVh/DLlSA/cXSgziICIiIiIiIiIiIiIiIiIiIiIiIiKirnX8J2+PyUc/+lE888wzWFxcxIc+9CG84x3vAAD83M/9HD772c92uHVERKePaTl4+V4OAPC6q/sP4gCAoCbjTY8M4PvePIEnrvacSAAHAIz0xQAA00uVE3k9IiIiIiIiIiIiIiIiIiIiIiIiIiKi49C1lTg+8pGP4CMf+ciWf/+FX/iFbR//+te/nlU4iOhcuzVdgGW7SEQ1DPVEOt2cfVlr7+xytcMtISIiIiIiIiIiIiIiIiIiIiIiIiIiOriurcRBRET7s1aF46GJNARB6HBr9me4JwoAmGUlDiIiIiIiIiIiIiIiIiIiIiIiIiIi6mIM4iAiOideWhfE0W2Gev1KHKulBvSG1eHWEBERERERERERERERERERERERERERHQyDOIiIzgHbcXHzfh4AcONCpsOt2b9oSEUiogEA5laqHW4NERERERERERERERERERERERERERHRwTCIg06caTloGDZsx0XdsOF5XqebRHTm3ZsroWE6iIYUjPRGO92cA1mrxjG7zCAOOp1s20WuVIdp2p1uChF1GcdxoTcsNAwbDfYhRLRPruuhUGbFOqJuYa7NG2y3000hog6o6iaKlUanm0FERPvAdV8iOs1c14PesGBZDvSGBcfhXPM8MSwHumH7f3uX526IiLZTrDRQ1c1ON4OITpFS1UCZ/QKdEnKnG0Dny3Jex/3FMmp1C3rdQjYZQjSk4spoEqIodLp5RGfWK5M5AMD18XTXXmtDPVG8dDeHmaVKp5tCtIXesPHfvnofVd2Cqkp4x1MjSMYCnW4WEXUBvWHh5v0CVgo6SrqJ4Z4IBrIRjPbFOt00IuoClu3iL781g4VVHZIk4PU3+jExGO90s4hoB2XdxLNfuY+64SCoSXjHG8YQC6mdbhYRnZBX7+fw3M1lwAPG+mN482ODnW4SERHtgeu+RHSa2Y6LV+/nUamZmF+poTcVRCSk4tpYCgGNR4HOurmVKibnS5hZqiAR0TCQieDaeAqqInW6aUREp8ZffHMGM0tVQACeutqHK2PJTjeJiDrs668s4rWpAgDgxkQaj1/p6XCL6LxjJQ46UbPLVcAD8qUGChUDlu2gopsoVY1ON43oTLs1XQQAXBnt3gnJcA8rcdDpdWs6j6ruZ782TQcvNwOniIj2Mr9ag+24WC01YJoOyjULSzkdlu10umlE1AWW8zoWVnUAgON4ePneKlxm3SM6tW7ez6Nu+Pf4uuHg5v18h1tERCfpxbs5oHmbvr9QZkUOIqIucHumsHHd9x7XfYno9MiVGqg3bJSqJhqmjVy5Act2sZjXO900Omau62FuuYpixYDjeMiVGmiYNpYL/NsTEa3Jlep+AAcAeMALd1c62yAi6jjTtFsBHADw8mQONqumU4cxiINOlNSsALBWCUAQNn5NRMfj1rQ/ALk83L1BHEM9UQDA7DIrcdDpszmrjSJxiEVE7XkwPl77GhCEB+NkIqLdSLKwob+QJRHsPohOr83zBFXmvIHoPJHX9wHCpq+JiOhUUpWNfbXM8RsRnSJb1pab40uJZy/OPEHwz9hIm87dcI5BRPSAokjAuluiKrNSEdF5J4oiJOlBxyCJQmssTdQp/AjSiZoYikNTJQxkwhgfiEFTJfRnwohHtE43jejMKlUNLDUzrlwcTnS2MYcw1OtX4lhoZiwnOk0uDycx2BOBLIvIJoN49HK2000ioi4x1BNFNKRisCeCTCKIVCyAicE4N1uIqC09iRCujaegKiJiERVP3ehjEBjRKXbjQgZ96TBkWURfOozrE5lON4mITtB3PNyPUFCBqkp43dUeREJqp5tERER7uDKSxHDvg3Xfx7juS0SnSDoe8NeU4wH0pkLoSYYQj6gYyIQ73TQ6ZoIg4MJQvPk31zDUE0YqHkBPMtTpphERnRqxkIrHL/dAlSWEggre8HB/p5tERB0myyLe8FA/NFVCUJPwHQ8PQGQUB3WY3OkG0PkSDal49BIXOIlO0u2ZIgBgqCeCcFDpbGMOIRMPIqBKaJgOFnO1VmUOotNAlkV89+uGO90MIupCiizi2ngK15DqdFOIqAuJooAnrvTgiSs9nW4KEbVBlUW8/emRTjeDiDqkLx3GD3zXxU43g4iI9kEURXznE1z3JaLTSRAETAzGMTEY73RTqAOS0QBedy2A13W6IUREp9iNiTRuTKQ73QwiOkXGB+IYH+D4mU4PhhEREZ1xt6YLAIDLI8kOt+RwRFHAYI9fjWN2udrh1hAREREREREREREREREREREREREREe0fgziIiM64VhDHcKKzDTkCQ1m/+sYcgziIiIiIiIiIiIiIiIiIiIiIiIiIiKgLMYiDiOgM8zwPt6aLAIBLXV6JAwAGsmEAwPxqrcMtISIiIiIiIiIiIiIiIiIiIiIiIiIi2j8GcRARnWFLeR0V3YQsiRgfiHW6OYc2kFkL4mAlDiIiIiIiIiIiIiIiIiIiIiIiIiIi6j4M4iAiOsPuzZUAAKP9USiy1OHWHN5ANgIAmF9hJQ4iIiIiIiIiIiIiIiIiIiIiIiIiIuo+DOIgIjrD7s37QRwTA/EOt+Ro9DcrceTLDTQMu8OtISIiIiIiIiIiIiIiIiIiIiIiIiIi2h8GcRARnWFrlTgmBs9GEEc0pCIaUgAACzlW4yAiIiIiIiIiIiIiIiIiIiIiIiIiou7CIA4iojNsshnEMX5GKnEAwEAmAgCYX2UQBxERERERERERERERERERERERERERdRcGcRARnVGlqoHVUgMAMD4Q63Brjk5/NgwAmF+pdrglRERERERERERERERERERERERERERE+8MgDiIAjuvBst1ON4PoSN2fLwMA+jNhhAJKh1tzdNYqcSywEgfRmebfm51ON4OoYzzPvwY8z+t0U4jolLNsB67LvoKI6KBsx4XtcF2QiI6G7bhw2KcQ0SFxXYjIx7E60cG53GcjogOwbBcO9xuI6IzjPINOE7nTDSDqtFypjntzJXge0JcOYaTv7FQsoPPt7lwJADAxEO9wS45Wf6ZZiYNBHERnVqlq4PZMEa7rIR0P4MJQotNNIjpRhuXg5mQehuUgFJBxdSwFWWL8PRFt5Hke7s6WkC83IEkCLo8kEQ2pnW4WEVFXWczVML1UAQCM9EbRlw53uEVE1M3mV6qYXa4CAjDWF0NPKtTpJhFRFzItBzen8mgYDoKavy6kyFwXovOHY3Wig9MbFl6bKsCyXURDKi6PJiGJQqebRUSn3NRiGUs5HYIAXBhKIBULdLpJRERHbmG1hpmlCiAAo30x9HL9jjqMKz507k0vVrCWyGYxp6Nh2p1tENERmZz3gzjGB89WYNLAWhDHSrXDLSGi4zK7XG1lFM+VGqjoZodbRHSyFldrMCw/Q5besLFSqHe4RUR0GpVrJvLlBgDAcTx/wZGIiNrmuJ5/KMwD4AHTSxVWNiKiA7Md1w/gAADPP/zCDPpEdBBLeR0Nw18Xqhs2lgt6h1tEdPJcjtWJDmV+tQbL9rNLV3QT+VKjwy0iotOuYdhYyvnjTs8DphfLHW4REdHRc1wPM8vN/dRmX8f1O+o0BnHQuScIm79mBgI6G+7Nn81KHAPZCACgUDFQNxh0RXQe8N5M586W8WlnmkFEp5u4KXueyM6CiGhfBGwcdgnguIuIDk5o/b/m14LA9QwiOhLsSei84lid6OA2Xy4iT4YR0V54do6IzoEtewLs6+gU4FCdzr3xgThkSYQgAMO9UWiK1OkmER2aYTmtzG8Tg2criCMSVBALqwD8EmdEdPaM9cegyCIgAH3pECJBpdNNIjpRA5kIwkEFEIB4REU2yRKeRLRVNKT6JX4FQFVEjPRFO90kIqKuIooCxgfiEEUBoihgYjDOTRsiOjBJEjHWH9vQpxARHUR/JoxIyF8XioWb8z6ic2btXsqxOtHBDPVGEdRkQABSsQBSsUCnm0REp1xAlTHUG4EgAHJzfktEdNaIooCx/gfzjPGBGOcZ1HFypxtA1GnxiIYnrvZ0uhlER2p6sQzX9RCPqGdyUWYgE0a5ZmJ+tcoNUaIzKBxU8PiVHniexwkTnUuKLOLGRJrXABHtabQ/hpG+KPsKIqIDyiSCyCSCnW4GEZ0RPckQehiET0SHJEsiro9zXYgoHQ8iHedYneggNEXCwxczvJcQ0b4MZCLoT4fZbxDRmZZNBpFNcp5Bp0fXVuL42Mc+hre+9a24cuUKbt26te1jvvzlL+P9738/3v3ud+P7vu/78PGPfxye551wS4mITt7kfBkAMN5/NjPT9GfCAID5FVbiIDrLzmL/RbQfvAaIqB3sK4iIiIiIiM4ezvWIiOiweC8hov1iv0FERHSyujaI453vfCc++clPYnBwcMfHxONx/Mt/+S/xJ3/yJ/j93/99fO1rX8Mf/dEfnWAriYg6Y2rRD+IYPaMlDgeyEQDA/Gq1wy0hIiIiIiIiIiIiIiIiIiIiIiIiIiJqn9zpBhzUU089tedjrl+/3vpvTdNw7do1zMzMHGeziIhOhemFCgBgtC/a4ZYcjwFW4iAiIiIiIiIiIiIiIiIiIiIiIiIioi50YkEc73nPe/DDP/zDeO9734tgMHhSL9uysrKCz3zmM/it3/qtQz2P53nQdf2IWkVEdDzOfCWOjF+JY2GVQRxERERERERERERERERERERERERERNQ9TiyII5lM4ud//ufxq7/6q/j+7/9+fOADH8DY2NiJvHa1WsWP//iP48Mf/jBu3LhxqOeyLAuvvvrqEbWsO5V0G7myDVEU0JdUEFDEtn7O9TwAgCgIx9k8onOvVDVQqBgAgOHes1mJo69ZiaNYNaA3LIQCSodbROed53m4v1BGsWIgElIwMRCHJLV3fzytPM+D6wGSyPs20UlzXA+iAAinbNxs2S7uzRVRN2ykYgGM9J3NYFGibuU47obxh96wcG+uBMfxMJCNIJs8+YQaRNQ+x3Fxd66EWt1CIqphrD924mOBzf0IER2PlUId8ytVSJKAicH4saxr8XomovPOdZt7kke8tlk3bNybK8GyHfRnIuhNhY70+Yno9Duta7dHoVgxMLVYhiAAo30xxCNap5tEu2hnzL9c0LGwUjvWuQcR0UnY6f5rWg7uzpZgWDayyRAGs5EOtZBod2fxTFE3O641A6KDOLEgjk984hO4c+cOfud3fgef+tSn8Du/8zt44xvfiB/5kR/Bd3/3dx/b61arVXz4wx/GW9/6VnzoQx869PMpioKLFy8eQcu6k2k5ePFeHn3++WlomoRr46k9f24xr2NupQYBwFh/FKlY4HgbSnRMuiGIa3qpAgDoTYUQ1E6smz9RkaCCWFhFuWZiMadjYjDe6SbRObdSrGOlUAcAFMoG5tVaVwdRVXUTt6aLsB0X2WQQ4wO8xohOyr25ElaLdciSiMujSUSCp2dTZXa5glLVBAAs5nREQyqSHNcTdVzDtPHaVAGG6SAWVnF5JAlRFHB3roR6wwYATC6UEIuo0BSpw60lop3Mr9ZQbCZkWCnUEQ4q6EmezKFA1/Vwa6aActWEpkq4MppEQD2b6wlEnWZYDiYXSoAHwALuzpXw8IXMkT1/3bDx2lQepuUiEdVwaThxJg8YEhHtJleq495cCR6A4Z4o+ptJoY7C5LwfdAsAUwtlxMLqmd2HIaKtphbKWMrrkCQBl4aTiIXVTjfpyLiuhzuzxdaBtjuzRbzuam+HW0XbsR0Xr00VUKtbCAZkXB1NQZG3HgJtmDbuL5Rbc4/J+TJuTKRPvsFERIfgeR7uzpWQLzUgyyKujCQRXrd3OrVYRkX39y7nlquIhtQzdX+ms+OsnSnqZkt53Q9cBjDWH2cSPOq4E11VunjxIn7+538eP/uzP4s/+IM/wO/93u/h7//9v4+BgQF84AMfwN/4G38D8fjRHRKs1Wr48Ic/jDe/+c34yZ/8ySN5TkEQEAqd46wqDQua+iDjgiSLe/4+LNvFaqnc+rmlooWhvr0DP4joYKYXygCAkb6zPdgbyIRRrplYWK0xiIM6znbcXb/uNtNLldZ7WCnUkUkEEQ1xsYPouJWqBlaL/uKN7biYXizj+vjp2VSx7I19m9XlfR3RWbGwWoNhOgCAcs3EarGOnlQI9vpr1vOz84FBHESnVifnFKulOsrNQE3DdDC/wnk20XFxHNc/RNVk20d7rc8uV2Ba/nMWKwby5QbScW5EEtH5cn+hDK/Z184sVZBJBLc93HoQZ20dmIjaV61bWMrrAADH8TC1WD7SYNxO8zyvFcAB+BnPXddjduJTaDmvtwIK6w0bi7ntD4E6jnescw8iopNQqprIlxoA/H5sZrmCq6MPzhw6jrfh8Ryf02nFueTp4Lj+OB7NYdL9hRIyiQCT4FBHdaQmTyQSwQc/+EF84hOfwNNPP425uTn8i3/xL/Bd3/Vd+KVf+iXU6/U9n+OjH/0onnnmGSwuLuJDH/oQ3vGOdwAAfu7nfg6f/exnAfjVP1588UU8++yzeO9734v3vve9+M3f/M1jfW9nXSigIBl7EMQxwDJkRKfO1KJfiWO0L9bhlhyvtexZ86vVDreECMjEg63M1pIkoDd1jgM+iejM6s+EW5t2QU1mdT2iU24wGwGaa46JqIZQ4PRU9iGirXpTIUiSf9FqioQMD10TnUkb1teF5v2aiIi6xkDmwTwrHlFPVQVVIqLDkCQRvekHe1v96TADOLpcKCAjEX0w9+jPHl1lKiKi06IvHcba2etwUEE8ou3+A0QdwjNFRLSTjtR3/da3voXf/d3fxWc+8xnIsowf+qEfwrvf/W589rOfxe/93u9haWkJH//4x3d9jo985CP4yEc+suXff+EXfqH13z/xEz+Bn/iJnzjy9p93l4aTqNUtSJKAgLr3R0iRRQz3RjGzXGmWITrbB8uJOm1q0a/EMXrGK3H0Z/xN7oXVWodbQgSoioSHLqRRNx1oinRkmd06ZaQ3ilvTRdiOi2ySVTiITko8oiGTCGK1WIcsiRg5ZQGZ0ZCKRy9lYFgugpoMiZt4RKdCf7NCnWE6iIVVZBL+we+eVAixiArH8TaUFyei0ykUUPDIxSwMy0FQlSBJJzenyMSDyJcbKFdNaKqEAR7sIDpW+11f34+hnihqdQum5SIR1Rh4TUTn0lh/DPfmSvAADPdEj3StNpMIIhpWYdsuQgGZ2TqJzpFIUEFvKoSlvA5JEs5kMr3RvhiyiSAEQUBQ68hRImpDTyqEQsVArW4hGJDRl95+Di8IAi4NJ6A37GOZexARnYR4REUqHkC+1IAsixju2XgOKhHV8OilLEzbRUiTGYBIp9ZZO1PUrSTRH8dPLZab55jjnNdTx53YKN0wDHz605/GJz/5Sbz66qsYGBjAT//0T+P9738/olH/BvvUU0/h6tWr+OhHP3pSzaID2u8BkP5MGL2pEAQB7PiIjpHneQ8qcZzxgKkHlTgYxEGngySJiATPxkQrElLx+JUsXA88pE10wiYG4xjtj0E8peNmRZagyFKnm0FE6wRUGY9eysJxvS33bW7OEnUXRRY7snkjigKujqa27UeI6HgcV4BlUJPx2OUeXs9EdK6l40GkYgF4Ho7lEJemSK0MqkR0voz2xzDUGz21a7dHgZVcTz9ZEnFjIg3HcfdMACEIApO7EFFXEwQBF4cScAZ2XudQFQkqx+fUBc7SmaJu1psKIdtMiMfALzoNTmw3/5lnnkG5XMaTTz6JX//1X8fb3va2bSe24+PjqNfrJ9UsOkHs9IiOX77cQK1uQRQFDGYjnW7OsRpoBnGwEgfR8RAEARJv3UQdwcNWRHQQ7DuI6LDYjxCdHbyeiei8EwQBZ/R8NRF1GMdZdFqcZAVPIqJO4/2XiI4SzzHTaXJiQRxvf/vb8cEPfhBXrlzZ9XGPPvoobt68eUKtIiI6W9aqcAxkwmc+0nytEke+3EDDsBFgWV8iIiIiIiIiIiIiIiIiIiIiIiIiIjrlTiw0+33vex+Ghoa2/V6tVsPXv/71k2oKEdGZNb1YBgCM9EU73JLjFw2piDTLvy7m9Q63hoiIiIiIiIiIiIiIiIiIiIiIiIiIaG8nFsTxwQ9+EHfv3t32e5OTk/jgBz94Uk3pKlXdxJ2ZIibnS7Bst9PNIaJTbmrBr8Qx2hfrcEtOxkDWr8axsFrtcEuIjk+h0sDtmQJmlipwXK/TzSGiI9AwbdydLeLubBENw+50c4iIjlzdsHFntoh7cyUY1v+fvf+MsWxN7/vQ38o7x8q5c588Zzgz5FgMFge8NHhNmJIpwpQDbNi8Ng3asC0DFiAYhAQHGIZgG7BE2BYgCRYkWLavCPB+ED2XxFUwSXE4M5wZzjkdTofKaeewcrgf1q7VtSt0ha5c7w84OLV7p3dX7fW+T/w/wWUvRyC49oRhxMpWl+fLTept67KXIxAIzhg/CFlc7/B8uUmn7172cgQCgeDcCYKQxY1432v3nMtejkAgEFwLOn2X58tNFtc7+IGoGxGA7Yg8g0AguDyETS8Q3E7aPSe2STc6BMImFQjOBPWi3iiKDi869H0fWb6wfpJrg+eHPF1qEgTx787xAh7PVy55VQKB4CqzOJjEcVuaOCarOZ4ttVjb7l/2UgSCc8G0PZ4vtyACcAjCiIXJ23F9CwQ3maeLTRw3LmrumR6fPBy95BUJBALB2RGGEU9eNxIhir7t8dG9kUtelUBwvVmr9RK/t9lx0DWFfEa/5FUJBIKz4vVah0bHBqDdc/n4/gi6plzyqgQCgeD8eLXeodGO971W1+Gj+yOk9AtLWQsEAsG1w/UCni01CQdCX64f8GC2fMmrElw2TxebiXiKyDMIBIKLRtj0AsHtw3Z9ni012SkD9/yQ+zOlS12TQHATONfTs9fr0el0ktvb29usra0NPca2bf7BP/gHjIyIhP5eXC9IGjgALPvqdc87XkAURcIQEwiuAGEYsbQZT+KYm8hf8mouhsmRwSSOumjiENxMLMcfNHDEdPsuluOTNsS5KxBcV4IwSho4ILangyBEUc6vqd12fSRJwhCFYALBjSYMI2zXR9cU1HPcU44iCMOhSaKW4xNFEZIkXdqaBILrQhCEOF5ASleR5TfXjLknJmjZvmjiEAiuKa4XEIYRqV1+vel4yc/xeR6IJg6BQHCjsXaphUcROG5w4XnGKIr3W1WR0VQhNCgQCK42thskDRwwvI/uEMedfQxNOddYs+BqsBM/2MHxAoIwQpFPHn+7KjFFgUBwvbgKNv154PkBfhCR0hWR0xAI9uAMbFLPD1Fk6UCbVCAQnJxzPT3/1t/6W/y1v/bXAJAkiV/7tV878HFRFPHv/rv/7nku5VqSNlTShppseJVC6pJXNMx6rc/yoGB8opph7pYo/wsEV5WtponjBqiKxNSgueGmkzRx1EQTh+BmUsjqqKqM74d0+i6tnoPl+FQKKe7Pli57eQKB4BQoskQpb9DqxqOFCzn9XJNqy5vd5JycGcsxNZo7t/cSCASXRxCEfPa6gWX7KIrE4/kK2bR2KWvR1HhCQNd0ASjnDZHsEAiOgeX4fP66ge+HpAyF9xaqSUFhpZBKbAdFkSjkRAOHQHAd2WqavF7vQASj5TR3pooAlPMp1p3YZjc0hWzq+hc9CAQCwduoFFKs2j0AdE2+cN8lDCOeLTXp9F1kWeLBbIlizrjQNQgEAsFJyKZUDE1JivbL+eG6Ec8P+OxVA8cN0FSZ9xYqQ03DgpuHosgUczrtXhx/K+b0UzVwBIOJun3LQ5YlHs2XhWiEQCA4Fpdt058HzY7NFystoghKeYMHsyWR2xAIdpFJqWw1Tdo9F0mCLz8eu+wlCQQ3gnP13P7Un/pTZDIZoijiv/1v/1v+tX/tX2NqamroMbqu8/DhQ772ta+d51KuJbIs8d6dCo22jarKV6qJI4oiVra6ye2NusnUaE505gsEl8jKVuwgTY3mbo3Cyk6zyppo4hDcUDRV4YO7VVpdhxcrreScbXRs+pZ3I4IhAsFt5P5MifpgxHC1eH42fhCEQ42OK9s9JkeyIuAoENxA6m07md4ZBBHrtf6lNnw+nC9Tb1vIknSu+5xAcJPYqPfxB1NsbCeg1rIS4YKRUhpdU7Acn2JWvxGqdgLBbWRlq5dM29xuWkxWs6QMldnxPLm0hueHlAupWxPXEwgEt5fp0RyZlIrnhZQLxoXnFjt9l04/LnoNw4jV7Z5o4hAIBFcaRZF5/26VZsdGU2XKe+pGtptWMv3Z80M2GiYLk0KA86bzYLb8znmGVjfON0J8Jq5t93g0XzmzNQoEgpvLZdv058HKdo9oELdpdR26pkchKxrbBIIdTNunWkxjaCqqKhEE0dFPEggER3KuGb9PP/2UTz/9FADLsvhzf+7PMT4+fp5veeNQFZmxSuayl7EPSZKQ5TebsSQhisEEgktmp7Fqdix/ySu5OHYKWmotC8cLMDTlklckEJw9hqYwXsmw3TQx7TfjCE+jqCMQCK4GsiwxWk6f+/tIkoQkkQQcFVkSNrtAcENRFOmtty8aRZYYK1+9WIZAcJXZa9/vvV3I6iJpKBBccxRZIvHqpdgv2GFvIZ5AIBDcdPaqyF8k+/wnEWcVCATXAE09vG5EPsKfFNxMziLPsO+7cwOKsAUCwcVxmTb9eaDKw3ugesl5FoHgqqEqMqoiU8obyW2BQPDuXNiV9Gu/9muigeOGcX+mhK7JaKrMvZmSCAYIBJfM8mY8iWNmLHfJK7k4ClmdTCruR9ysi2kcgpvN3ekiKUNBVWTmJvJiFLZAIDgSWZa4N1NCU2V0TebedOmylyQQCM6JSiHFaDmNokjkM/qt8gkEgpvC1GiOQk5HUeIJNhfR8CkQCC6We9NFDF1BVWUWJgvoQoxEIBAILoV8RmdqNIuqyGRSKvMTQq1eIBBcb8bKGSrFFIoiUczpTA1E8ASCoyjnU4xXMyiKRDatMTd+e8QiBQKBYC/zk3nSKRVVkZkZy5FJaZe9JIHgSpFNa8yM5VAVmXRKZV5MfhMIzoRzrf77zd/8TX7qp36KcrnMb/7mbx75+F/4hV84z+UI3kK9bfFqrYMkwZ2pIpVjKH8VcwZfejh2AasTCATHYWcSx8wtCq5IksTkSJYXK23Wa33mRLJFcA2xXZ/nyy1sJx49eGeqcKBSfial8fH90UtYoUAguCw6fZcvVlqEYcTMWI6J6smTb5VC6li2vUAguJo4XsCzpSa241MupLg3XTzQTpAkiTtTRe5MFS9hlQKB4CxQFZnH85VzfY9Xa21qLYuUrvJgrkRKF43hAsFFksvofPLg9H59FEW8WG3T7NikDZWHc2XRCCIQCG4VURTxer1zJvbMzFiemVs01VwgENwcFtc7bDVNdE3hwWyJTEpDliXuz5Que2mCM+ai7P/5iYJoaBQIBALieoyP7o0cev/yZpeNeh9dVbg/WyKbFk0egttHEEYEYYgSSERRdNnLEQhuBOeaqfuLf/Ev8vf//t+nXC7zF//iX3zrYyVJEk0cl0QQRrxcbbOzr75cbVPOGwcWhggEgqvLziSO2Vumujs1kuPFSpu1mpjEIbierGz2sGwfgFrLopw3KIuCa4FAALxabeP7IQBLG13KhRSGKNISCG4Vq1tv7IRG26acN6gWhTq/QCA4Oc2uzXbTAsByfJY3uzyYLV/yqgQCwUlodGwabRsA0/ZZ2epxd1o0cAoEgttDq+sM2TMrmz3uz5Yud1ECgUBwgXT6LpsNEwDHDVja7J67GIDg8hD2v0AgEFwd+pbH+qAmyfECXq93+OBu9ZJXJRBcLL0DroP374jrQCB4V861ieN3fud3GB0dTX4WXFGiiN2NcaHokhMIrh3tnkPXdAGYHr1dTRyTg5HA66KJQ3BN2XvuinNYIBDssHc/iEKxPwgEt41wz3Ufhpe0EIFAcO3Zu58It0MguH4Ee+0CcSELBIJbhoijCgSC284+v07EiW40wv4XCASCq8O+nK3YkwW3EJFjEAjOh3Nt4pienj7wZ8HVQlFkZsZyrGz1QIK58fyBUzjaPYdayyJtqExUs8iymNQhEFwVVrbiKRxj5TQp41y39ivHZFU0cQiuN9OjOXqmhx+EFLI65fzwFI6d8zdlqEyK81cguHFEUcRG3cS0PSqF1NAknrmJfDIxb7ySuXVnvEAggKnRLB3TxfdDchmNSvH6TevaqPfpWx4lMUVEILgQuqbLdtNC12SmRnKJ/1DOpyhkLTp9F1WRmbplAhACwU2gWkxTa1n0TA9VlZkaCJtcRzw/YG27TxhFTFazwtcRCATHYq89c16CVrbrs17rI0kSUyNZdDEVVSC4NVx1G6WY0ynlDVpdB0WRmBkXft1N5jzs/zCMWKv1cL2QkVKaQlY/g5UKBILLxHZ81ut9ZEliajSLpgrb9TzIZ3QqxRSNto0sS8yO5y97SQLBhZPPaFQKKRqd+DqYGbuetqjjBaxt94TPL7gyXC2vU3BpTI3mGC1nANBUed/9pu3xdKkJgw66IIyEQSIQXCGWN7sAzNzC63JnEsdaXTRxCK4n2bTGJw9HCYIQTZWHGiktx+fZUjPpYPeDkPmJwiWtVCAQnAfr9T4rm3EzZr1t896dCvlMnDipFtMUcwZRFImgq0BwS8mkNL70YBQvCNH32AnXgY16n6WN2Fept21URaaYMy55VQLBzcV2fZ4uNhNFLM8PuTNVBECWJR4vVHC9AEWRUURzuEBw7VBkifcWKrh+iKbI11rk4dlSi77lAbF4xcf3R6/15xEIBBfDRdgzURTx9HUTxwuAuEH2o3sjZ/4+AoHganLVbRRJkng4VxZ+3S3hPOz/xY0O200LgHrb4qN7I1euWUkgEByfMIx4stjA9eLRTD3L44O71Ute1c3l/kwJdzxAkSUUZX9tpUBw05EkifuzpdgWvabXQRRFPHndwHEHPn/f5aP7wucXXC7nao3/G//Gv3Hsx0qSxN/+23/7HFcjOIqDmjd2MG0/aeAAkuCFQCC4GuxM4riuXa7vwo7qSK1p4vmBKHIVXEsUWUKR9393TdsbGkEozl+B4Oax97ruW17SxAGgXsPgh0AgOFtkWcI4wE64Duzb42xPNHEIBOeI5fhDI80P8h+EqpRAcL2RJAnjBlzHffvN/uR6IX4Qol9Te0cgEFw852nP+EGUNHAAWLZPFEXXrqFeIBCcjutiowi/7vZw1va/afvJz1EUxxFEE4dAcH3xgzBp4IDhc0xwPogzWCC43tdBEEZJAwe8yalcpcZtwe3jXCuCoiga+u/ly5f84R/+ISsrKziOw8rKCn/4h3/Iq1eviHZXKAquHPmsjqK82axKeVF0IRBcJZa3YnXb2bHbN4mjlDdI6QphBJsN87KXIxCcKfnM8PlbzqcucTUCgeA82H1dy7IkxpcLBIIbxe7YgSRBMStiCQLBeZJLa6i7RFpE/E4gEFxVSruaOrNp7a0CUwKBQHCRaKpMNq0lt4s5XTRwCAS3CGGjCG46u+MEqiKTy2hvebRAILjq7LVdS0JASSAQCN7KXvunkNNFA4fg0jnXlur/9X/9X5Of//E//sf85//5f87f+3t/j08//TT59+985zv8x//xf8y//W//2+e5FME7YmgKH9yp0ujapHWVckEUkQoEV4mdSRyz47eviUOSJCZHsrxa67Be6zNzCxtZBDcXfXD+NrsOhq5QEeevQHDjGCmlURUZ0/Eo5QwyKZE0EQgEN4dqMd7j+rZHMWsMJZQEAsHZo6kK79+p0Ow46JpMtZi+7CUJBALBgdyfKVFrWYRRxGgpLQqkBQLBleLxfJntloUkSYyWhD0lENwmhI0iuOlMj+ZI6QquF1IuGGjq9VXSFggEca3Mju0qSxIjwnYVCASCI3k0X2G7aSKJfVNwRbiwuXj//X//3/Nrv/ZrQw0cAF/+8pf5tV/7Nf67/+6/46d+6qcuajkXSrNr0+o6pA2ViWr2spcDnG5NKUNlysid6H16pst2y8LQFCaqWdG5JhCcA7brs92MJ1DMjJ3sGr0pTI3keLXWYa3Wv+ylCATHxnJ8Nup9VEVmaiSLorxRdArDiI16H8cLGC2lmRy5GvbDDlfRthEIriOdvku9bWHoCpPV7KFJwb7lsdU06Zku6ZRGOW+IokyB4IZi2h6bDfNA+2DovtEcyi7/emef0FSZyZHh+y6bYs6gKBTABIILI6WrTI4cHfINgpC1Wh8/CBmvZM6kkdR2fTbqJpIU++nXQbXW9QLWa32QYLKavdaj4AU3G9vx2WiYyFIs+GA5PvmMfm0TjbIsMVbJ7Pv389ibBALBxbFR72M5PqW8cW0mCtfbFp2+SzatMVaO9yVFkffFPD0/iPMPEUyOCJtBILjKHHRdH5fDbJSrSLvn0OjYpHSViWrmyjacRFHEer2P4wZUi2kxifoSiKKIjbqJ7fqUcgaOG+B4AZ6vkdrz52h1HZpdW+T/BIJrxEG262XgegHr9atvL+/e58Yr73Z+Njo27Z5DNqVdG/tBIHhXepbHdtNE1+L6hutYCxwEIY4bgARhGKLIV3O/ehtBGLFe6+H5IoZ6E7iwJo4vvviCycnJA++bnJzk5cuXF7WUC6Vrujxfag3922UbTz3T5flyC6L4djQwoM4a2/V5stgkDOM3cv2QhcnCoY/fqPept20yKZW5icKVKjoRCK4yq1s9ogjyGf3WFkft7GHroolDcE0IgpDPXzfw/RCIGzoezpWT+5c2u2w14uasetvmw3tVUvrJzLYoilje7NI1PYo5/cym1HQvyI4QCG46pu3xdLFBNLiWgiA6cKKW5wc8WWzQ6jqs1/rkMhpTIzkkSbo103laXYe1Wg9VkZmfLGBc0cCvQPCu+EHIk9dN/CC2D2zX58FsbB94fmw7BEFEEIa8WGkxVskwWspQyus8WYzvi58XcH+mdFkfQyAQXCE8P2BxvYvrB4xXMkNNoC9W27S6DgDNjsPHD0ZQldM3XYRhxNPXTRwvAKBnenxwt/puH+ACeLLYwHbiNXd6Lh/dH7nkFQkE+wnCiM9fN/D8kK7p0u45zIzl2W5aSBLv1OB91WLyZ703CQSCi2Oj3mdpowvAdsvivYUK+czVLtRtdR1erLQB4j0VidHywXvqk8Umlu3Hz+s5fHx/5MoWTO9mdbtHq+uQy2jMjeevxZoFgndh73UNnLiR4zSs1/o0OjbZdHytnXcxm2l7PF1qJnmaIAzPLAd01ixvdtmox/muWsviw3sjpI0LK1O68RwnF7iy1Uty6J+9rFPI6hi6ui//2DNdni03Rf5PIBCciu8932Z5M/YHZsZyfO2Dg2tEL5Oe5Q3tc2EYMTV6OqHcds/hi+UWANsMbA7RyCG44bhewJPXjTe1wF7AnaniJa/q5Hzn6RZr2z0AtibyfPW9iUte0cl5tdam0baBuKHs4/sjYsLaNebCot8jIyP8X//X/3Xgff/wH/5DRkZuZoKsb3lDt3t7bl8GPctLDJL4tnsu72M5frJpQ+z0HUa757C00aVveWw3LVa3uueypvMkiiJcLyCKoqMfLBCcIStbsWExO347p3CAaOIQXD8cL0gaOCAucNrN7jMzDCMsxz/xe2w2TDbqJn3LY227z9ZgYs+70t9jR+y1da46YRif1wLBZWM5PtExriXLCQiCN/uA4+4URh5sW3t+SBCEB953HXG9gOfLTXqmR6vr8HKQhBUIbiK2GyQNHDBsHziunzRpbDctNhsmPdPj1VqbrYaF6745267b2SwQCM6PV2sdGh2bnunxYrWNvcuv2L1X+DvKU++AH4RJAwdA396/F101O8UPwqSBA2L7LAhFXE9w9XC9AG8QQ7AdH8s5m3O/1b3YmLznB0P5goPo7dmbhP8uEFwfhuKb0fXwS/bmRw/Ll4ZhlDRwQBybuQo2w1F5yVrLYnWrR9/y2KybSRG1QHARXFbefK8fchF7UbNrs7wZ21RbDZPVQUHYedK3/D31Hld3z+1bb/bPKIobUARnx3FygbuvA8vxkxjk3vPtouqIBALBzSMII16stDFtH9P2ebHaxveH/fkd2+CouMB5Yu7b505/Jl3FelCB4LzZVwt8Db/3nh/warVNz/TivMly+1L3pdPS3xWDCYII+x3zO4LL5cJa3H/5l3+Zv/pX/yqtVouf//mfZ2RkhFqtxm/91m/xzW9+k//kP/lPLmopF0ohqxNGcdGVrioUs+evkh9FET3LQ5Yksun9o3IKWR1JIikaOy/l/lxaQ1XkpAjlsPdxvYBayyIIQpSBqpZzzZIznh/yw5c1ml2HQkbno/sjV3Y0nODmsby1081+NRVWLgLRxCG4Cnh+iGl7pA01OQM8P8C0fTIpNel6dr0Axw1QVTlp5CjmhlXpijkDcxA4VRWZ3AHn+VHsLcJ616KsHS7KjjgPTNvjT17W6Vseo6U0792pXrrKqOD2Ybs+jhuQ1hVkWUqCAoU9+4DrBbEPoSloqkw2pdHqOrF9Lx187S1vdlmv9QmjiLFyhumx3KFTK3qWRxRFV14V0/PDoWYXxzt5U5tAcB0Iwwhvjx9cyr+5zmP7Qsb1Qjw/JJPS8IOQRsem2Y2bOiRJYnY8z7hQexIIbgQ78T1Flk49CnvIB4jieFtqoHhayhuJMq2hKcm/H4edZtLcLjtCU2XSKTUpACntsVUWNzps1k0kCe7NlE49Ucy0PfwgIpfW3lndVlVksmktSbrmM/qF+wdn+XkEVx/b8XG8gNwxvmu7YwzxNapgO8HABnhjIL+LT743Bn9eMfkoini+3KLetvCDkA/vjmDoyoHf/VLOoNZ6szcZJ5xKKhAILo9izqDRiVUgJSmOIe7GD0L6lkdqsK8dxlE5zrNe81qtnxRy7bVfdpBliUJWp9OPbaDsIP95WQRhRKtj83q9QxBGpAyFx/OVfXnJZtfGcnxSuoIkSdcu9yq4vsSTRhuYto+hKTy+U0EiLvrKpDQ09fyun2JWZ1Uiua4vIn9xXrkYiCejH7Qf5jPaUGz5sP3rICzHx/UC8hn9QnyQYl6nO/AhgzBuHAjDSPg/Z0SzY9M1HRRZxtCUA79/xZxBvW3h+SGKLLO81SEM4yk1nzx4I7Z7nfN/AoHg8tHUN/WBqiIPTYALgpAfvqpTb9vk0hof3R9JpgAdhyCM6JnuiWOYe8lndaIowtyp4TxgnzvuOVnIGUjbvV175tXOtwquBgfVFF0nMikNWYKtpkVKV67lxC5JkrAcn+2WhQSMV69nTrWUN1ja7BIEIfmsLibdXXMu7K/3K7/yK9i2zd/4G3+Db37zm0AciDMMg3/v3/v3+JVf+ZWLWsqFoioyRBG2EyABKeP8N+AvVlo0O/HI8anR7L7C7kxK4/07Vdo9h7ShUj5l0vQoNFXh/TsVGh0bXVMYKe0fQWzaHp+/bmA7AWu1HpPVLLp+8GOvMiubXT5/3SAIItZliVxG49F85bKXJbgliEkcMDUwDDebJn4QXmoCRXA7cbyAz17W8fwQWZZ4vFBBlkjOBlWRee9OhSAIebLYJAwjJAnGKxnShspoefjcmx3PkzZUXC+gUkidauxdtZRmu2UlwfBq8WzO+yE7IqVSzp+PHXEePFtq8mwwYnyrblItpq+lYym4vrS6Ds+Xm0QRGLrCo/ky3b6LoStUi2/2gZ7lJaNIVVXm/myJXt9lfjKPrikUssa+YgjXC1iv9fH8kOXNDi9X2zycK/NovryvUWOniBJgpJTm7vTVHXOaNtSh4sqx8vUMpAgEbyMMI54sNuiZHn4Qks9qjFeyjO7yixVF5v07VWoti2JOZ7tpsrjeYatpks2oNNoOpuXTt3zuX+FrWiAQHJ/nyy1a3Ti+NzOWY2r05D7/aDnN0kYs/JBOqUNNFwuTBbKDhrCRUvrYzQuL6x02G2by+jvj0iVJ4r2FCttNC0kaPrNtx09sjyiKX+M0TRxbTZPXax0AchmNx/OVdy78eTxfZntQMD56wXbGZiPeyyEulnk4VxaFTDeYetvixWobIsik1LeKCtiuz2evGviDGMN7CxXeW6iy3TKT4qy+7ZHP6Pv8gpNQzhusbg8EJiTOLSbf6jpsNy2WNjsEQcTrtS5zEznShkY+o/No/s13/85UgVxaww9DRk+wNwkEgstntJxGVSUs26eYM4aaUD0/4Icv67hevK8dFKvYYXeOc3osx/QpbKDjks/ovLdQodN3yaW1txarPpgrs900iSIYK19eDjMIQj571WB5q0ujYzNVzQI6mw2T2fE3+eDV7R4b9XgiQMZQmRnPM3JG8WGB4Ci2m1YiUuV4AS9WWph2rNqrqTLv362+tZnrXchldN4fXNfZI67rs6JcSLFW6+P7IZLEvnzPafliuZU0x02OZIeu8ZSh8v6dCq2uQ8pQj+1f1VoWL9dimzSb1nhv4d19qqOYGomFhtZrfVo9h1drHbaa1oW8903n9XqHla0e33teI2XENTaPFsr7HpcyFGw3wPUCepaL68XCST3Lo2/7SeP0RdURCQSCm4ciS3z8YJSXqy0A7kwWEhFniG3TH76sEwQRkiSRSal8cHfkkFcbJghCPnvdiIVjJLj/DuIwqiKDRDyZN4pI6cP2yHbT4tX68c7J3OD+dt8lm9KGRLkEgoM4qKboNGKul4lEXKO4Xu+jKBLTo9dPbFqSJEp5A8cLkCQo5VNI19AkTelKPFk8CKkUU8jX8UMIEi60Bec/+A/+A/7Nf/Pf5Lvf/S6tVotSqcSXvvQlCoXCRS7jQml0bGRZTgonNxvmqdRuPT9ko94niiImqtlDu/Fs10+CmwAbdfNAdf5sWjt3BRuIAwhvSzJvNS2CIA7YTI/mKOUNFiYLp1YYvCxaPZtgoIAWhlGSZBcILoKVTTGJo5xPoWsKrhew1TSZGrm9DS2Cy6HeihVsID4HtpsmsiwlZ4MfhNRa1tCI0J0i7rFD1LLftXgil9b48F4V0/bJprUzTYpclB1x1jQ6TqLA5QUhnZ5z45o4XC9gvd5HliQmR7Kiqe2KsdnoJ4osjhtP5TnIVt5umjQ7NrYXkDVUen33yMJNSZJAikec+0GEosRKbHv9j51/26HWspibyF/Z78pO0Vq756Cq8pWfHCIQnIQoiq/HWtum1jTJpAZqrpF0YMOSrinJXiBJEq4XFwesbvfpWR7ZVHzef7HaZmb85sZZBILbgO34Q7Gl9Xr/VE0cE9UsuYyO5wUUssPK/5IkHeqL+EGYTPeaqGYTX2KvHbHdtJgbzydJWVWRD7av9+QPTptQ2Ki/mb7ZM72kiP1dUBSZierl+AQbu6aJdvoupu0NNdoIbhYbdTPxR03bp9t3D03w19t2MrkzDCO2WxYLk4WheNdZFAfomsJH96p0TY+UrpxbTF6SJLqmm8RI2j2bpY2IciGF4/rMjOeSa/lte5NAILj6lPMpyoM0Ra1l0bM8ilkdxwtwvTf72mG50r05zvVa/1ybOCBu5DiOPaHI0qXZDLtp9Rwsx0dCgii+ncvo+4pONup9DE1hfqKA7frcnykKO0NwYez9Pra6ThJ79PyQets61zxeLqNf6Pfd2GVTpQ31TFRwHS9IGjiAfY1aEBfcn9R+26i/mT7Utzy6pnusRhfT9thuWmhq7D+dtPmiWkyzVuujDwTLTvLegoMJwoithonjBYyUUnh+yPRoDtP2qewJC+4+d1+tdVAViUxaIwwjepaLqsg0OjYpXWG8krmW+T+BQHD5PJgtMVZOE0X7p1K0ek4SE4iiiOYJaurafTeZ/EsUn2WnbeJodm0kpKEazt1n0UnPSS+IJ6fv1IkIBG/joJqiXPp6ibKt1+N85I5d8WSpcWAD6VVGIq6v3GneuK61B2v1PkEQEYQR7Z7ILVx3LnyOSj6f5yd/8iff+XX+i//iv+B3f/d3WV1d5bd+67d4+PDhgY/73//3/53/5X/5XwjDkK9//ev8+q//Oqp6cR97b7OFfsrxoE8XG4liRavn8NG9kaHRYzuoijw0OvM8x5HuJQwjlre6mJZPuWAcK5i5+/ehKjIjpfS1a+AAmKzmeLXWwbR90oaaTAUQCM6bIIxY3Y6T/jNjt7dxQZYlJqsZFje6rG33RROH4MLZOylDU2UUWd73b/ufd37ndBRFbDcteqZHMaefqujrpjEzlqPesnAGI1BHK9dr8tdRRFHE568bybjsruny/p3qJa9KsJu9vsFhe0DXdNlsmPhBxKt+HMjMHaGyq6ky8xMFun0XWZaYqMT26F7/Q5YlVEVOisJkWbryygyyLAnVL8GNZHW7x9p2H8cLWN3uMTdRwNAUNO1o+6CYM2h1HRRFptayUGSZQkZHU2XSe8aQe37A4kYX3w8Zr2au1RQtgeC2oigykkTS/KmfYjIfxAVSm/V+khw67nn6xXKLTt8FoNmx+fj+aGwz7NgRQThYp3Ss4p2UrjI7nmdlq4siyyxMna7RTFeVWCkPQALtijahHhdNk3G8N59HvcA4ruDi2Wv762857/c9ds/tla0u3b5HPqsxPZo7ME9w/HUpVArnOz28lDcYr2SoteLCP1mW6ZgekiTRMV2+9HDsXN9fIBBcPLWWxcvVNgBbDZOxPTG4w3Kle3Ocb9srzxrb8Vna7BJGETOjuStb/LATWyrnDSzHQ1FkchltX05WU2WCIEBTZXTtYgvaBYLRcoZ2z0mUqbNpla2Gldx/Wv/mJERRxOp2L7GZzlsI76xtKnXgf511zYeuKUnNyXFf1/ODZOo8gO0Gp5rsrKsy1q7bF1nHchORJfCCgFrLot1zKOUNdFU+8Pra/W/VYirJIZXyBhlD4+liI4k/+EF4q4UjBQLBu7G74aHZsdlsmKiqTLWYJpvW6FuxiMRJ6nn2+g7vYkfsj83sydtqMtZOf4m0//7dtHsOz5daye2I6EBxLoFgh4Nqiq4bmdRw/jFtnL9df9bIciyG+u0nm0hIPJgtvVNs9bKot2zq7di67pguX3oweskrErwL59rNsLa2xujoKJqmsba2duTjp6amjv3aP/uzP8u/8+/8O/z5P//nD33M8vIy/8P/8D/wm7/5m1SrVX71V3+V/+P/+D/4V/6Vf+XY7/OuVAopJkeytLoO6ZR6KsWYMIyGnGnbCfCDCE09uInj/kyJ5a0uiiyxMPlu6pthGPFytU2n75LPatydLh06wnyt1mOzHqvxdU0XQ1cOLQ7pmC7/5Dsr9GyPbEplbqJAMWcwek4j28+b8WqGH3k8TqtnU8gaTAvHVnBBbDdN/CBEU2VGb7lDMDWaY3Gjy/ouJUuB4KIYKaV4vtxkvdanUkwxVs6gKjK269M1XQrZuGAhjOJJCabtU8obVItHn3vf+myDV+sdcmmNH//SNIVjJtw2G2ZyPXRNF01VzmyM93Xl7nQRWZIwbY9qKU2lcLN+H54fJsF3iEdhC64Ws+N5/CDEdgKqxdSh6i3ZlEYhq7O0Edv0jhfw2as63b5Ds+MyWk7zE1+a3lfoN17JMF6ZY3mzy3YzVveX5VjNdrdS28PZEosbXaIoYnY8L8bWCwSXxM4+bWhKYssXcjp3pvYnwhfXO3z7800AfuS9ceYm8liOT6fv8C/8cws02jbrNZNyweCTh8OBuievmzxZbOAHIdVimp/8dJqUfuGaHgKB4ARoahzfW9nuocgSlYLO3/r//JBWz+HOZIF/6afuH+t1Xq21k4keXdPlo3sjpI6hCts13eRn1wtx/SDZNx7MlVjaiCeCzk3kj53gmBzJvvMUvIWpAq/XO3heyEQ1e6zPcpW5O1WMP08QMjWSFXvzDWdhssCrqI3rhYxVMqQNlVdrbZpdh2xK5d5MKVGoHi2lsRyfds8hn9GHCnO3GiZr2298fV1VqLUtfviyjq4q/HMfT17JGOGnj8aoFAzafZfF9Q62GxABlbyxb1qPQCC4/uy2JeDNtK6jcqWqInNvpsjKVu9McpxHsVHvs17ro6oytuMnBaxPrSZfejh2aD50L6eN356GfEZnbiLPdtPiw3sjLEwWDiwuuz9T4vV6hyCMmBnLXdkJrIKbiSJLPJqvEEURkiQRhBFhGE8QLuWMd55Cfhy2mtawzaQppyqs/GKlyfeebSPJMl//cILJMxCRsx2fF6ttHC9gopI5UIBLOeOajx1226TjlcyxxDVN208aOCD+O56GO1NFXq618bxYZOQ6CnteBTp9l1drbaIoomd5ZNIajhegawoT1eyBecBK3uAff3eFjulyd6rIlx6O4rgB49UsUfRGQAJEXkkguI68XG3z3aebSLLMj34wce6T7I6D7fp86/NN6m0LVZF5PF/hRx6P0eza5NI68yc413K77F9DV5ifPH09XjmfYnosR6NtkzbUfUK5d6aKvNp1Vr1tulZ/z37ZMz3GrtdAAsEFM1pOYzlePE0xrZ+JXXnRVItpfuS9MZ4ttkgZCj/20fFrva8KURTxaq2NMxCLWlzvXMsGVkkmtq39gHvTJRFfveaca2boG9/4Bv/b//a/8fHHH/PTP/3TRyb1Pv/882O/9le/+tUjH/Pbv/3b/MzP/AwjIyMA/PIv/zJ/42/8jXdq4oiiCNM0T/Scal6hmo+DAo5jH/Hog9GUkJ4ZGwDplIrn2niH+Me6AvcmB0GI0MM0T+9obTRM1gcBjr5pIeMzeciEjVanj+O8GXnWavcwlINHhv3T76wmihum6fDeXIHRgoplWQc+/jowWlQZLcYHrG1f388huF7sBCAnR7LHTijcVHb2pvW6aOIQXDzbzTgAsVMkvTPaem8RpiLBvZnSsV93ZbPL08UmAA034I8+2+CnvzJ3rOfuLuaHOFhy21EVmfuzpctexrmhqTLplJqMlH3b1AbB5aAqMg9mj47glfLxVLu+5RFEEelUXOBlO7GC4up2jx++qvPJIYoKs+N5bNfHD+IE6XqtTzFnJN+JXEbng7tiSotAcNkUswadXuzYVwopPrxbPbAgOQxDfu8Ha0nC/Pd+sMbs+MPhBP7M4e/zer2d2AVbDZN2zyFVEYXCAsFVp1xIJZMz/t+/+5zNRhyPfLLYZO7pFp8+Olq5frdPEEXgeMGxGh92pv0ApAxlSOEuf4l2REpXeTxfuZT3Pg9ShsrjhZvzeQRvR9cUHu36/m43LbabcQy53XNZ3e4xPxGf7ZIkJT/vZa9vX+tYfOfpFkTxNf97P1jnX/rJe+f0Kd6N+ck4RpLP6Mln11T5rUURAoHgelLMGcl1jgSFbByT2C0wcRjlfOpCpgfajp80pnp+yPJmN1lfEET4QYgiH60q+i7x29MyUc3um7yxl0xKExN6BZfOTm2IIkunmtzwLuy1mfbmS477Gv/sTzYGBe4B//R7a/y5bzx857W93ugkhZ8rWz0KOYNcen9DQylvUMofLAJ0WvbapMchk9JQ1TeTnYvZ061J15Qb5c9dFl8st/CDkDCM2G5a3JsusjDwHWbGDxZa+O7zbVRFppJP0eo6ZFJa8j2wHX9o6stp/74CgeBycF2f3//BWnJW/d/fX+OXzuCselfaPYetQSwzCAJer7f5+Z+4x9whsY6jOI79e1ymR3OHNroYJzirClk9LpoeNMIVcyIvLziauYkC5+stnj/vLVR5b+H6+pqx/98jGnSxLm50+fpH0bUTvVzd7GJoCoamUGtZ2I5PXkzgvLaca3T8v/qv/itmZ2eTny969Mz6+vrQdI/p6eljTQR5G57nnajZ5KwIwgi7H6tTGYHC559vXMj7brc9Gt03QY5eS6W1dbAqQs8OWK27EMXBGNXTaWwerOyytNKja74Jljx51qe1LTYSgeCkrG73AJh6RzXLm8COoqeYxCG4DPxwuGnRDw5uYjwp3p7Xcb3jv261mGKraRJF8UjAavH8k5+Cy0WSJN5bqLDVMJEkibHK1VNfFRyPajGNLEtIEvRtj4yhoWtKkiiDeKrP29itjhbfPpt9SSAQnB2TI1l0TcZyfCqF1KGF1WE4fE0HQYQfgn5MIdV8Rqc9aBYxNEUovQsE1xB7z7lvuccTbBktp5PixLShHlgYdBD3Z0psNU3CMGK0nLl2CQyB4DoQ7Ikj7LXfD6NaTLPVtAjDOLmYS6lJwQCA75+8QPGiWZgskE1peEFItZgS6vACwQ2kUkjxcK5Mz3KTBo6rhh8O77u5zBs7qZDT0dXj7U2uf/r4rUAgOD+qxTTbu2ymSuHk+RHfD4cmFJxV3ue6xW01Veb9OxXqbRtNkW/9xPfLZsePkGWJfFpPvqOVQupQwUdvj4/geG/qf1KGyvt3KjQ6sSp9tSj+vgLBdcIPh6fpeEfkDi+KlK6ia0qSy7yJhcW5jM57CxXaPYdsWruQRnSBQPDuKLJENqUm08eyx8yZXDXyWR3LCQjDWBA0CI8XWxZcTc41c/9n/syfSX7+s3/2z57nWx3K7saRKHr3L6umady/f/+dX+c8cb2AraaFLEuMl9Mo75AEuecFPFlq4XkhfhAyUkyRz+qMllIHNuV8YPvYrk8urR04vneHwkiP3/+TTYIgopw3+IkfmUY9ZkD0rAnDiM2mSRBEjJbSGPrRyjqC28tlNHG9jbVa3MRxFUYiXjZvmjh6l7wSwW1ktBQnBBw3QJLi4P7yZpeJagZNPfhcsV2frYaJqsiMVw+epjM7lqdSTNFo2yiKxIcnULzNZXQ+ujdC3/bIprUrW7AZRRFbTQvb9akW08cuLBMcjKrIB45fF1w/wjBipJRGaksYusKf+niK3/6D1/T6LoWszqMjVJsnR7L0LI8wjMhlNIo5oaAlEFxF3pYY7Vke9bZFz/QoF3Q2avG48Efz5aSgaKthYrlxE8hhiZCP7o/E9kkQMTWau5IFVAKB4O386AcTbNT7eH5IMWfw6f2Dp3HtZaKaJZvWcL2AYs44dowwiiKCMCIMo3eKp9ZaFn3bo5QzboQtst20MJ2b83kEl0vcjGFiOwGqIjNRPV4Tfjat8eHdKosbHSRJopRPMz2ai4VeJPjw7uH7QxRFbDZMHC+4VP/7posO2I7PVtNEVWUmKlnRCCe4tZyHgvwOQRixWe/jByFjlcyp4p7ZlEopP5g+JsFX3htHkWXCKKKUM44tTDg3nufJnvjtZsOMY52FFLlTFqw1OjZd06WQ0ZPpbAKB4PjkBjZT3/bIpjRShspW08RyfMr51JGxEc8PaXYdijmdRsdBkU+Wn3kbUyNZvlhpEUVx09hlxGnCMGKj0cf3Q8bKmSMnNqZ0VeSirwgT1Sw/eFEjiuDhXCkp2JubOHza1ft3qixuvMZ1AyarWeYmhifjZFIamZTIzQkE15FMSuXedJEXq22AE0/PDYKQjUYs5DJeyby1zg+I8xWWRzH7dlu/kNX56P4Ia9s9NFW+tKm+JyUM47iJ6weMltJH7o35jH4jG1QE50er69DuO+TSmmicvCQURebj+1W+/XQbgE8ejFzL2N0Hd6tsNJYJo4ixcoYx0Wh9rbma1XxnxOTkJKurq8nttbW1ockcp0GSJDKZq5tgCMOI5ys1nIHSix+5JxpL6fkBSxtd/CBkopqlVMzw1feztHsOz5dbWJ6E1fLQdIPp0f3K/8f91TyYzzA9XsG0XSqFFLJ8eWpbz5aatLpx92/fsfj4weihKgUCwVVjbTB1YnJEBM52mjg2GyZBEL5TA5tAcFI0VeHDeyM4rs8Xyy2aXQe6Dq2uw0f3R5LHhWHE6naPjumyWe+TS8dOfc/yeDhX3ve6qirz//jaPK2eTSalk0mdzHRLGeqRwffLZmWrl0zQ2W5afHi3euXXLBCcN1tNk299tsnKVpcoing8X6HVsbk7VcTxAtKGeqRCWzFn8MmDUTw/IKWr1zL4IBDcZmzX58nrBrWWRa1lUS6kuDdT5NFcmclB0nyt1mNlM25g3mqY3JsuUu/YRBHMjOWSBEO1mObrH03hByFpQ73wKakCgeDduTdT4v/1Zz6i2bEZL2fRTyBAsjuRWGtZ1NoWaV1lZjx/aPzr+UqLzmCCT6Nt89H9kycythomr9c7QOynv7dQudZJzY16P5lqstkwef9OVTSgC96JuIghjiPomnKiaRStnpNM2Wr1HL72wQS262NoyluLhff53/eqJyp87lseq9s9ZEliZjx3ZcUiLhM/CPnsdSOZomjZPvdmSpe7KIHgBvJipRU3XwD1tn3svJ7t+CxvdROf6eFcGdP2UBX5yIK1w9gbv212bRYHNtBWw+TDeyOkTxjrbHRsvlhuAbBZN3kwVxLKvgLBKdidH9lrz39wp/pW1d0niw0s22e8kmWklOb9O9WhRu5Gx2araWJoCrPj+RPZcuVCii89HMXzLy9O82qtTb1tA1Br23x8f0RMR7smdE2XYjaewPF0qclkNYskSTxdavLRvZEDnyNJEo/nKjieTy6tx7mFXQKrx40VCASCq8nXP57i8UIFWZZOLDryw1d1Xq62iaK43uZr708cGgOstSxeDppFNusmj+bLh76fJEk8ni8zP5F/J1v7olnc6LDdtID48358f+RQwU6B4KR0+i7PlpoAbAJhyLWccNbs2mw2TmcHXxX6dtzYCtC3/CMefTVRFYX3Fyp4fkgpbxCEcInl14J35ML+dP/1f/1f8xf+wl848L7/9D/9T/lv/pv/5szf82d/9mf55je/Sa1WI4oi/t7f+3v83M/93Jm/z1XC9QOcXePReqZ3oue/WIkd9nbP5flyC88PUBSZMBqeatLqOocq8bnu8Ta3TEplpJS51AYOiB3dHTw/xDnm+gWCq8Da9s4kjv1NVbeNkWIaTZXxg4jtlnXZyxHcQhRZQlNkbPfNOWw5Pp7/ptB6o95nvdan0bJY2+7Ts+Iz6G3ntarKjJQyZFIqYRji+ld7tPZJ2f3ZwzCib5/MdhEIbiKv1zo0Ozadnkur67DVNGn2HCKgkDXQVIVu3z3ydTRVJpPSRAOHQHAN6Q8m6dhO7J9ajkcmpQ01Ku/eB6IIfvCiTrPj0GjbPFlsEu4anatrCpmUlvj1YRge23cXCARXg1xaZ3a8cKIGDiDxIXqmy8vVNp2ey2bDZHmze+hzdu8vjhfg+sGRDaR76eyKtxGdPEZ51RhafwQ982hbTCA4CkWWyKS0fclO1w8Jw8Ovua7pvjnno/h2tZg+Uu19dxw8DCP61vGvyyCMeLrYpNV1aHRsni+1jv3c24Tt+EkDBwz/zgUCwdlx2rze06UmzU4svPNksUkURWRS2luLyo7ak2E4frt7bVHEW/faw+yrvTGf625HCQRXgc6u6yoMQhrdw/OIfhBi2W/2FUWWh+ws0/b4YtD4vt20ksatk6Cpw3GaiyCKomTf2b1X+X6YxJ8EV5+e5aGpCooi0TM9giD2Cyzbx9lji+7Q7bsYukIhayDL0tDZtDdWsPKWWAHEfsTumKNAILgalAupU02NfbbYpGd69C2Pl6ttbMc71P7d69/2jogpSJJ0pK190njjebPb7g6CCNMW56Pg7NgbT76OMSPbiUVtd+zg12snt4MvGz8IsRwfRQZFfpOPvW50+y5pQ6OQNQjDWBxQcH25MKmk3/3d3+Xf//f//QPv+/Ef/3F+4zd+g//sP/vPjv16f/kv/2V+53d+h1qtxr/1b/1bZDIZvvnNb/KX/tJf4qd/+qf5xje+wezsLP/hf/gf8su//MuEYciP/diP8Yu/+Itn9ZGuJLqqYOgKzqCAdO/4zZ1gZtpQD1Spt3Y56GEY4XohmqqQS8fFX2EYF0fX2zaW43N/ppSMSGv3HP7h77+m2bWZHc/zMz+6gK5e/RavQlan2YkVewxNwRAKYoJrgueHbDVMAKbECFtkWWKimmF5s8darc9EVTS2CC6OYKC02GjbNLsWY6UsqiqTTqlou87CnXNWU2OVTdcLIb3/vD6I5c0u//R7qwRBxP3ZEj/24eSZf44wDNlu2aRTKoULUskt5PTEQZVl6a3qVwLBTcdyfKIoipsS/YCu6VBr2dRaFiOlNDPjeWZGY3X9QvbkwViBQHC1cf2QRtuikDXIDnzwdEqlZ3mDxD7kMm/OyWLOSFS4HdfHdv141LcXT+B5f6Fy4HSretvid/9oGccNmBrN8s9/eebSxRUEAkHMUXG7k7Je6/GPvruK74dUi6mhEe1vC+oXsjqrWz3CKKJSTPPFcgvTjtf1eKF8LAW6QlanMVB2RYL8MXyeq0whq9PoxJ9HkrjWU0UEV4dgkDQ09Dexg9///hovVtuoqsxPfGma6T0xPz8I2aibLK53MHSF2bHcsWIKEH+PdwoS3uZ/h2FIvW2ja0pSBOIHIf6u4gqRGDyYlBH/LXcEPYTfJrjtmAOxlp0pgWfFSfN6PdOla3pYtpf4Pr4f4gcRmnp4AfU//eNVXq930FWFn/zy9LFyDoWsnkw0k2XpwMldfhDydLFJ3/JIp1Qezw/bV4WszuYg97NzWyAQvBuFrE6r69DpOfzgZZ3Sa535ycKBMRFVkcmk1KRwM5vWhiYTOG4AgzqvMAxZr/UZr2SObKh9V6Ioom/7qIp04olopu3xdLGJ54dUCinyGT2ZxKGpspiOfg3YqPdw3IBCRqfTd1FkmUJOR1Gkwf0mz5afIwE/+sEE92fLyXMLWT1pZNp7Nu0WpgOw3mLnbzVMXm90kID5yQJj5czZfUCBQHApaKqS7AOKLPGdZ9u8XuugKBJf/2iShcli8thCVk+mVPCOsTHb8Xm62MTxAoo5nQez5XMTpNuJcWiqTOmI6XaFrJ7Uc+zYA+dFGEaYjo+uXp9JJYJ3I5/VQSKxI6+jn+d4Abs1399mN1xVVEXmxXKTbz3ZQpLgxz6c4GsfTFz2sk5MIaeztt0jCCKyGe3EE0AFV4sL++ttbm4yPT194H1TU1NsbGyc6PV+/dd/nV//9V/f9+//5X/5Xw7d/qVf+iV+6Zd+6USvfZ2RZYn371TYbJjIssR45U1A0bQ9Pn/dIAgidE3m/TvVfYbASCmdjFTPpNTkAk8ZKu8tVFiv9Wj3HIo5gzCMWFzvUMqPAvBP/niV7z7bIgxheavHVDXHp4/HzvTz9UwXy4mNuLMyYu5Nl9hMm/hByHglI8ZDCq4NG/U+YQRpQ6GcFwlBgMlqjuXNXryPPbrs1QhuE2u1Hj98UU8KGkaKIdNjBcYrwwHMajFNvWMjyxKzE3lSmkw2o3N3unjQyw7x7SebiaLOF8st7s8UGSmdXYDU90O++YdL1NsWDJyV+zPlo5/4jkyP5tBUGccNqBZTJ04+CAQ3hdWtLk8Xm4RRhKYprNXNwVkfUVTj8ejlXIogjHg4V04aqQUCwc3AtH3+4R+8xrQ8FEXip78yx/t3KtTbNuZk3MRRzhtDxU+GFvsB9bZNCKxv9zEdb6CqB82uw+QBQbvvPt1KhB/WtvssbnS5M3W0LSIQCM4X0/b442fb9C2PUs7gk4ej7xz7+vaTrUSFc6tpoalyUlA8Ujx8VHvf8ni61CSKYKLqMjOWB+KG07Van/mJwpHvPVaOY2ym7VPKGwcWMF4nxioZFOXN5xHN54J3xfMDPnvVwHEDFEViaiRLpx9Px5ZlCd8P+aPPN/c1cWzU+xiawkQ1g+PFRXjHLY6eGcuja8pb/e8wDPndP1pho94HCb78aCzOI6jyUPHXSOnwPeQ2oyoy792psD3Yc0Vhm+A2s7TRYaMeNyJMVDPMHcN+OC4nyeutbHb5JwNhHMcPeG+ugqrKFHP6kPjObto9h5WtLi9W2yiyhOsHfPvzTf6fP373yLVNjeTQFAXb9akUUgcWRm81zEQF3bJ91mv9od9PuZDiwVyJnulRyOqnUlUWCATDTFSzaKrM73xriWJWQ1OVA2MiURTR7DqMltO4XogiS4ztyfPkszqGptC3PL79ZBNNk1ne6vITn0wzM54/l/VHUcTTpWbcJCbBveniUJP+USxvdpMm00bH5v5MkWxaw/NDRsvpfZPhBFeLf/SdZf7xd1eJIrg3U+RP/8gsYRTx0f0RGh0b1/V5sthAliQi4Fufbw41cUyN5gaF2vvPpkJWH2pCPixWEIYRrzc6EMW1p4vrHUaKaTEFXCC45nx4r8rz5RZhFFHOGXyx0kKSJIIg4tufbzI1kqPdc0kbCtViGlmS6FmxjfouBegr2z0cL85RtHsu9bbNaPl84gz/v++ssLYd10F++miMD+5WD33s3ESelKHiegEjpfSxhGxOQxBGPHndoG95SBI8mBV539tAPqPzaK5Mp++STWtUCm9vKrqK5NIaiiLRGDRGzZ6T7XueWG7Ad55vJxMw/+jzLf7sP38fRblezVTZlEbP8vCDiHLBEPXO15wLq5JLp9Osr68feN/a2hqGIQ6js0JTlSS5uputppUUf7peSK1l7VPvnx3Pk8/oBGFIKWcMOV3ZtMbMWJ7GQN1mhyiK2GyYPF1s4PsRsizheSErtS6fcnZNHPW2xYuVNhAnQz64V8U4g0YOWZaYHBGK/YLrx07D1eRI7kLH7V5lpkbja3nndyMQXBTNjjOkSClJ8lChhecHcYOlJPHefBnLDVjd6uH5IZ2ey/JW91iFULs56+t+o96PGzgAIvj8VeNCmjgAUdQgEADfebpNuxfb2RuNPvm0RspQkZCJiG3WTFplpJQWgTyB4AbyYrWFOSjiCYKIz17V+dM/MntoUebr9Q5bDZMwjFje6jI3nmeknGJ9OyBtKOiaguW8fZy5QCC4Wnyx0uLlWhuiOIZXLaW4O11K7q+1LEzbo1JInUrhVZElHs2VSac0Urry1td4utRM1PS2GiaVYoqMEe9HJ/FCqsU01RvUI3bTPo/gcqm37aSpcqthsrTRwffjwqjZsfyhhcU77DRkZU7YUHSU/93o2HEDBwxiA3Xev1NFkiQezpVpdm1kSaJ8DRPNF0VKV69lElsgOEuCMEoaOCBWB58ey59ZUcFJ8nqfva4nuVFdkTEMhYXJAuWBCm+759DuOeQzOuVCio16n6WNLo2ORa1lMVo6eYHqSQvQDorzlvOpZI0CgeDt9CyPZsfG0JW32jrVYppKIRVPSD+El6vtZEJFIavzeKGy7zGqIvP+3Sp//GyLTErF0NU4lvO6fm5NHD3LS6b8EMWiHCdp4tiLJEvHmi4kuBr8o++u0DNjpevPXjX4xldmmBqNv2vTozls14/Pqujw1xgtp7Ecn1rLomu6jFcySJKEril8cLdKp+8eGSvYiyhPEAiuP/dmSlSKKcIwQpEkXqy2k/uCIOJbn23Q6rnoqsyXH49RLabPJR5wXvtJvW0lDRwAn72qv7WJQ5KkfSKd50G75yRN3VEU1zeJ3O/toJgzrn2TviRJSG83O640vuvTM10i4lxH13Tx/fDaNXGs1/tJzMByAvqWd+6TAQXnx4W11H/66af8zb/5N/G84SICz/P423/7b/Ppp59e1FJuLaoi7bl98J+/lDeoFtMoB9yfMtSkSFqWJeYnCyxudFna6FLM6rheQERENq3yYLZ0puvfCZhAPGp4p8hNILitrG73AJgSTUgJO4kb0cQhuGjGKplkepWuKUNJxCiKePK6ydp2n5WtHqvbfXIDhaMd6i1732vu5SuPx1EHRRwPZkvvFKA/iJQx7JSIsZ0CwcXSt9/4SbYT0DVdSjkDLwwwNJW5iTyFrH7ihi+BQHA9SOvD5+5RY293Gi8lCTwvxPVDKoU0siJj2j6OG1Br2Yma1W4+fTSGMXi/6dEc8xOiyFAguAr0TC/JfERRhGm9GUW+Ue/zcrXNRt3k89cNTPt4TVo/8ngMfaAYd3e6yOxEgZFS+shgvr6reDyb1igNEkvplCqEUASCM2J3bL5jujQ7Do4XoKsym40eqiLzlffG9z1voppNJsFkUuqZF9/pujrUrbU7NiDL0rkVbAgEgpuFLDHU+KAoEpclCrlbDE6SJMbKmVhFWJZo9xyeLjbZqJs8X25Rb8eNGwCVQppqMYXrB+iqwo8csCeflrFKJtnL0ymViaoQuBEITovl+Dx53WC91uf1Woe1Qe70MI6KidQ7b3I1nb6Le0BcBUBTZSaqWYxdk83OQnzyMPbWdZx0csbs+Jsm4Uoxlfh4gutBuKvvKAhC5D1Fhild5ZP7IyDFscKvHnBmeX7A56/ia2Vpo8viRje5T9eUI2MFsiyxMFFAGrzH/GRBiEwKBDeEcj5FtZimVEjxeCEWeFQUibnJPK/WOzQ79kDYuXlm7zkzmkvOzWJOP7eJBIamHBrjuEz2neuq2E8F14Oe5eH7IYWsQTalUdsRib1GpFMaxbxBEIb4YUgln8Iwrt/U7SEBIOnk/oHganFhkzh+9Vd/lX/1X/1X+Rf/xX+RX/zFX2R8fJyNjQ3+z//z/2RtbY2//Jf/8kUt5dYyOZLDdgJ6lksxZ5x6FNnMWJ6pkdzAQZNY3owdvMd3KkRIaJrMo9kyj+cP7149DakTFrWcFWEYiTGQgivJ2qBRYXrPRJ3bzOQgcb1ef3uQViA4a8YrGb78eIxmxyGf1YYC/54fYjlvCrA6poumKsiyRBjGVVp7GygOYmY8zy994wFhSNLMcZaMlDJ88mCE50stUimVH/twMrnvpp2FN+3zCG4Gd6eKLK53CKOIB7NFun2PruWxMFngp786y/RoAVWRziwxEkXx/iMSLQLB1eD+bJla22Z1q0sxl+JLD0ff+viUrg5GbUvMjOfIpTVUReajeyND51zf8oaKCMIwolpM8+e+8RDHC9AUWZyJAsEVYXYix1bTxHYCsmktEVGBuHhohyiKGz4Om9Szm8mRHL/4jfu4frQvrvY2fvxLM/zBn6wThBFfejDK3ekiQRid+UhuYZcLbjPVYoq+5dHs2lQL6WQqx+x4nrnxPF95f5z0AQlEVZH54G71XK5JgEJG56uPJ/jhyxq6rvD1jyaPftIJOe9rX+wtAsHlI0kSD2ZLLG50AJifuLxCz6++P47tBvRMl/nJwtCknK7pDj2203dJGSqmHcdy379b5dF8hXxaRZaPH489ah867738qiP2acFZ0re8JM8Ccf5l6i2PL+dT/LlvPMT1w6Hm9R1SuoLtxHaZqspvLYaaHc/zaL7M0kaHXEbnq++frNnrJNdC2lCZnyywUeujqjJ3pk4m9JNJaXz6aOzW7jvXnZ/40hT/9/fW8EN4/06Z6gHFzh/dH+W9hSqyzIFnlmn7+MGbbpBu3933mIPY/T0dq2QYKcU1Rm/77op9XiC4ehz3uvzKexN86cEYsgyvN7p8sfxmMsfuPeRdSRkqnzwcPfdzKZfR+dr7E/zJFzU0TT5VjOM88qmFrM7MWBwLTumqEPATXBsMTUGS4umbsiSR1i+s9PzskOAnPp7m6WIdgPfujFxL2+XOVJGXq218P2RyJEvqguqoBefDhf31PvnkE37jN36Dv/JX/gp/9a/+1eTf5+bm+I3f+A0+/vjji1rKrUWRJe6f0XSM3RtXPqtjOT4SMuWCwdRILhm3dpYb3MxYngiwHZ9KIU3+nEcARVHE8+UWra6DoSs8miuLDU9wpdhRk9ld2HHbeTOJwxSBSMGFIkkSd6aK3DkgO6CpMinjTeA/n9bRVJlH82XWa30UWRpKHr4NWZY5Qb7wxHx0f5SP7r8pGo2iiBerbRptG12TeThXPlax2FXFdn2eLjZx3IBS3uD+TOnaOWOCm8vHD0aoFFKEUVxkuVE3k/tMO+C7T7dQFZkHc6V3toPrbYuXg5HI8xMFxi5gNLBAIDiauIHyeEmEB7Mllja7hGHE1EglUcpb3uwmU+lkWSKTin1Yzw94stjEsn0KWZ3xSoaXa22CMGJ6NCcawwWCK8DMaB4JiZ7lUcoZVHZN3itkdVrdeCKtJEEuczybvGe6PFtu4fsh45UM85PHSwiOVzL8Sz95b+jfztK/tp2BXe4FlAuxXS4aSwW3DUmKp1zPTxbw/JB/8t0V2j2XUt6gkDMwtLfHoc8z5vVoocyjgfrmWbLbHslndB7OlQ6cBv4uLG502KybqIrMw7nSkZOHBALB+VHMGXx8/+3N6RdBJqXzsz+2cOB9cXzlzVTvQlanmDNQZAnXCxgrZyhmj7+PuF7A08UmluNTyOk8mC2/db++bfmLKIp4sdKm0bExNIWH8+ULE+wT3FyyaQ1JipvdgUPjpgflBg7i4VyZlc0eYRQxM5Y7Mn/w1fcn+Or7Eydac8/yeLbUxPdDRstp7kwVj/W88UqG8XeM4962feem8BNfmmF+sjiIA2YPtaHfJgCXSakoikQQxBfLUXGFIIx4vtSk03dJp1QezZXRNeXIa2J5s8t6Pc59PpgtUzjBOSoQCM4ePwh5ttSkZ3pk0xqP5stHqrXv7CUTlQwT1QzdvoemydydOd55dRIu4lx6OFfm4dzpYhzbTYvX63E+dWGyeGqx7IOYGs0xJfIygmtGylAxdJUXyy0MI/bprhuqIlPI6YxV4+uvmDOuZc1Q2lD54O7ZCuwLLo8LjYz8xE/8BN/85jd5/fo1jUaDSqXCwsLCRS5BcA7MjedJ6Qov19qMV7Koiky751JrW4yVz64gTJalC+0+bXTsJEHuuAEr271DAzoCwWXwpolDGPY7jJbSqIqEH4TUW5YoShVcCSRJ4r2FCht1E1mWkiB7PqOTn7vawctW16HRjseHu17Iylbv1EGOq8DKVi9RN211HRodO1ENEggum5SuDjVcZ9MaPctDV2WWN+Mz3w9CFtc7fHhv5NTvE0URr9Y6SWLz9UaHaiktEngCwTVD15QD/dOZsRy6puC4PtVimtRABWdtu481UJPt9F3Wa32y6ThZu7rVo1pMJY8VCASXgyRJzIwd3Nw9Uc2iyDKm41EppI7dWL240cX3Y5W8zYZJtZi6EgXNK1s9HC+2y5ud2C6vFoVdLri9aKrMT315ho2GSRhGjFcy1zJ5eBRrtTf2SNd02WpaiSDLWdCzPDYHzfB+ELK40RXJTIFA8FaKOYOHc2XafYdcWkvskeMWVO9lrdZPJjJ3ei61lvXOBdc3ieYgHgvgeAErW10ezF7fWLPgapA2VN5bqFDv2KR19dC84OoxcwN7Y7TnwdJGJ/HTtpsWI6XzF68UXG8OiwOeBE1VeG+hQq1loWvKkXU8200zmQpq2T7rtf6RwhCm7SXiMkEQsbje4aP7p89lCASCd2erYdIzPSCeXrVe6x9bXDKT0vjRDydpdGzShnqm9X/XgTCMeL3efpNPXW9TLaZuZLxGIDguXdPFdnymx+I6xbXtHqWcccmrOhlBGKEqMpV8CiSQ5bh+QohMCS6TS8nQLywsiOaNG4QsS0xUs1iOz3bTenNHdPhzzosgjNhs9IkiGCtn0N6iNnAU0d71X8LnEQgOw3Z9aoPC6qkR0cSxg6LIjFcyrG73Wa/1RROH4MqgqcqxAyLXgZ7p0uw6ZFLqtS622nfWCwRXiGoxTbWYpm95QC/5971f23bPodN3yWU0yvn9Y9QPItr75Y8iQAQmBILrThCEbDZNiOJG77cpakV7dxNxJgoEV55Y6e3dbO++7dHsOqQN9VKbmfftQQKBAEWRb91krN17wWn8mv0vGO25KfYagUBwNKW8QSl/NkUne/ed67wP+UHIViNujBurZI5UbD4O+38/7/ySAgEAuYx+ZLP6vrT/Ffr+HbYWzw/YalrIksRYJSNEeASnwvECtpvxpLqxcoa5U4qmnuaSEb6/QHD5vOtVmM/ohzYaRlHEdtPC8QJGS2lSN3DCWnTIzwKBIOYq2dQnQiJp2pBEjYTgCnDhJ+izZ8948eIFjuPsu+8XfuEXLno5V5ZGx6betkjpKtOjR4/qPC2dvstmo4+uKkyPvb3I4ygmqhlerrTpmi7j1SzVtySDgzBidauL4wWMlNKnT8zs4flyk04vVgRotG0+vFc9dadcpZCi1rbo9Fw0VU66CAWCq8COikU+o4kxpHuYHMmxut1nrd7nEy5/XLvg9rDVNGl1HXIZjclq9kI6tV0vYHW7RxBETI1mj63Ie1x2kpitroOqysyM5ehbHp+/biQOWRBEQw1TtuOzOpgUND2aI2WomLbHWi0enzw9GiuEXwbTozl6povrhRRyOtXi2dgfAsF5Ydou3326zav1DlIUUS6m+bEPJ5L7O32Xp0vNJHJ4b6Z4ZGOVJEnMTxZ4vd4B4ql6h41fPy31tkW9bZNNa0yNXMx+KBBcVzw/ZGWrSxBETFQzRxYdOF7A6laPMIqYGhk++58vt3i13sZ2AkaKKX78S9PJ9Tc5kqXVc3DcgGxa4+50gdfrXcIwYnIke2SCZff7To/mSN/AhIxAcJXx/ZA/fr5Fq+uyMJnn/jEVi+cm8jxbahIEEYWczvJmjzCMDQfXDw4VhUj8jHD/XmO7Pqtbw/b+SYntcg/PDynm9DOLCwoEN4WXq21er7fJZ3Q+fTiGekyhou2mRbNrk0trTF6iHb5R79PpuxSyOhPVN5M2JqtZ2j0H24ntkfGBime75wz5NfdnS1QKJ98Xchmd0XKa7aaFokinLlATCATvxnqtT9d0KeaMKzuFwg9CVrd6uH7AeCW7L8diDeKbEjA9lqPTd+O47xH769Ro/FjHDchlNEavsVrx08XmQFgknqBxFpONyvkUpbxNq+ugDWLNAsFFMTPIDThugO0FNDo2qiJRPoXNAfE0j+2Wia4pzIzlT9RgMTv+xk8bKaUPzPOGYcTnrxvYTjw9pNN3eDRfOfD1ai2LRudiY7EXVcsiOJzNhkm755DP6IdOtwuCkG9/vsl200KWJR7Nl3k4d7x4wmgpTb0d79ld0yWf1bEc/60xwUxKI5fReL7UQlXloVyGQCC4HMYrGZodG9OOr9+J6tnZp0ub3WQa5nbT4qP7VTT1TQ3A2+oRwzBirdbDtH2qxdSliUZGUcR6rU/P8ijljaFpI7IssTBR4PVGnE+dnygMpoqa6KrCzFjuzPOrAsFVJ5/RSekKL9faGLrCw7nSZS/pxCiyRKtr8+2n20jA1z6YELUMl0QURazV+vSteAL9ZQqPXTYXlnW3LItf/dVf5Q/+4A+QJClR29h9EYgmjpie5fHFSmuQtHCIouhcEg6uF/Ctzzaot+MgRc9y+eDu4eMM12o9aq3YGb8zVdw35aLZiQtXM2mVetviD3+4zlg5w8JUcV/gYmmjk0ztaHYdPrxbPZPC052RjhAHWT0/PHWhqCxLPJ6v4AchiiyJDVtwpVjbjps4xBSO/UwNAlU7jS4CwUXQ7Ni8Xosd+FbXQZakoUKFt+H5Ia/W2tiujyQBkYSmytyZLmLsOsNsx+fVWgc/CJkcyTJSSvN8uZUk0zp9l08ejp6pGpMkSTycKw+dhRv1/lBHfafvDjVxPF1s4nhxYqFneXx4b4Qnr5v4QTwe3LT9M0n6nYa0ofLJg9FkRKJAcJXoWx6v1zvU2xayBI4X8sVyC8cLsBwfWZaYmyzQ6NhJMLPTd4akXzp991iBzrFyhpFimgjOXMGt03d5sdIG4v0QuHWKwgLBSXix2kqECNp9h4/vjya+tml7/MnLejxhrpzho/sjvFprY9k+jY7N959v8/7dKvemS6iKxOJGh3orntbXtzwet6ykaEjXFD55MIofhMkZWCmkiaLoWImGZ4tNLMcHoNt3+eTBqEjQCwRnQLvnsLTZRZYk5ifyhzZyfffZFk8Xm0BcHJ1Na0weIx6Qz+h8+dEYYRjR7DrJfgPxmT11SBhwn5/x4I2f8XSxieMO7H3T45OHB4snBEHIq/UOpu1RzqeGJhPqmkI2pdK3fXIZXewngluB6wW8XGvjenHB8GGFzdtNk9/7wdrAzu8ThhE/+uHkka/f6jq8Wntjh0uSlBRzRVHE0kaXdt8hl9ZZmCwMXXd+EMclLMffd72elO2mxdJGN1mHqshJAk7XFD6+P2yPwCCmv8evOU0TB8CdqSJz43lkEc8XCC6FrYbJ8ubuPUC68IKs7abFRr2PpsosTBVI6ftT4a/W2jQ7ccxidatHMWegawp3pgqkDZUnrxt4fhzL3Gz0UZU4Rrt7f929d1YKKWbG8hgH+F3XkSAIE1sQYv8yCKN3jiHJ8v5Ys0BwUaQGuYGXa23qLZt2z6HdP12NguX4/OFn63FDkqLguD4P5w5usDiI3X7aYTEZ1w+SBg4YroHYqPfZapoYmkK1mOaf/XCDvuViaCpffjzK7Pj5NrJeVC2LIGZlq0ujY5M24hodVZGpty0W19/kJBVFGio83qFrerxe6xAOknrf/nwT2/UHZ95wDnIvsiyRy2g8XWygKDLtrsMTp/HWmKDnB5i2z1gljSRJ1Nv2pRVmCwSCGEWWyGV0PD8kl9FQ5LOzUXfHGf0gxLR9irl4X3G8gGdLzURMxvND7s+Wksev1XpJzVOr66BryqETP47C8wNerXWwXZ/RUmZfY1u9bbG23UdRJO5MFYea0TYbJisDsZqdRuPdYjNjlUwiYO0HId9/vp3USez9TALBbcB2fTYbJrYTEAQRa/U+pWsm0OR6Pj/4ok7fjPew7z3b5htfmbt2OQrb9Xm91sHzQyaq2cEk9+vFeq2fCIbt7MHF3NlMSr1uXFgE6a//9b/O6uoqf+fv/B2iKOJ//B//R/7m3/yb/MzP/Azz8/P8g3/wDy5qKVcey/aHkhbmoFDiXfD8EMvxh0bVtnoO67U+rhc7U68GxacH0e45rGz2sJ2AVtdJgrBvXj+gOSjS6lserW48/rzetlkbqHHvxtr9mSKw3WDfY05DLv0myGLoyr5Gk9OgKvKJAolRFGHaXhLgFQjOg7VafF1NjR6vSPw2MZk0cezfewSC82LnjHW8gDCMhs+5I1jZ6lJvW2w3TL77dJtay6LTd5Piix1erMbTrizH5+Wg6WP3+/hBiOedzXm6l91nYS6tsXuiYC7z5uwNgjBp4ABw3ADH9ZMGDuDYvxvPD/bZLmeBJEnXOokquFns2I1+EPJ8uUm9HRc8/eBFg9XtHmu1Ht2BgmMYRondvoOmyEM250kCnLIsnXkDB8RF57ux7Hf3ZU6C7fpD+5BAcNXZfU0HQXydh2G8Nzx53eCLpRbdvsuL1Rafv6pjOT6m7VFrWZi2T71p8Xy5iR8MF9TomnzgtbBzBvpBiO36xwpKRtGwbeP5IUEo/F2B4F0Jw4jnyy0s26dveTxbbhEEIabtJQnOHdq7kqJAEoPbwfPj5x1kO0uShKLIZNMau8Nbu2Noe9l9nvt+iOfH+0kQRkkDB8QJ2SA4eD9Yq/VptG1sJ2C91qfetpL7lje7tHounh+rYLd7zkCMRZzhgpvLFystthsmpu2zuN5JimN3rvtgcN03u8ON2q3e/onmB7HX1959HW83rSTBWmvFxc27Wd3q0ew4yfXa7Nin+Yjx+zrD/sBe/wDY55Pv9WPygzjDjg1y0ji7csJ4vkAgODv25jPNM4wJ+IfYSbuxHZ9X63FjRafvJqI7+9Y5WFcQhqxux7ZI3/J4vtzCD6KhfafTH7axdvbbla0emw2TTt9lbbtPs/tm77zusUdFkUmn3hS3pVPqmcaQTpp3PS+E/Xlz2Ymr7PVVJEnC83b9W3T8fMVu6m2LrYaF64X0bY+Xq/v3mmBnDYfsWTt+2mHoqjJUYL9jL9VaFi9X4yms7Z7Ld59t0uzYuF5I13R5vd497CXPjL21LKf5HQqOR7Njs7bdx3YCmh0nKXLbe74eFoOXJJAGXzPPD2l0bdo9l0bb3peD3Mt6rc/SegfT9un2XRodO4kJ7vVhdtjJYyiyjCxJB/oCAoHgYtlsmGw1TDw/TGIDO3b1u+bgcxkNf1AbIMvSUHOE7fhDdvv+WMHZ+Q2LG11a3TimsbzZpWu+iaO6XsDL1TbtnkOz4/BipfXW9z1oP1UG+VTb8YeELsX5J7iNtLpOso9Yjn+oz32V8YOIds/F9UNcP6TZc94aZ7iqvFrt0OjEzemv1tvY13BP2rcHX8PPcFZc2CSO3/md3+FXfuVX+PTTTwGYnJzkgw8+4Otf/zp/4S/8Bf7u3/27/JW/8lcuajlXmkJOR1XkpODxtKpTO7R7Ds+XW4RhREpXmBzJUcjp6KqMpr4p/DpIjWYHf0+Qw90V1Gp2bL5YadHpu3T6LildQZKkRLVi73N3PlPPjI00VZWTxMy78nCuzHqtTxRFTFQvfmR8GEY8XWzSNV1kWeLBbOnWdogJzpfV7Z0mDqFsvZdJMYlDcAnk0hpLm10cN0BRJOYnD1et3Cm+zGd0dE2h1XV4udrBdjzafZfxapYsDCcTiIunEqLYuagUUtRacTFUNq1h6KebPnUSchmdR3NlWl2HdEodUvdRFJliTk+KzIo5nbShkk1rSYFKOX/0ubhjW0QRlPIGD2ZLVyKxJxCcJWEY8WSxQc/0kGWJvuWyYzYHQUgUxtdbEISEUUQmpaJrcfLDdn1Wt3rU2zaO55NJpZibyF8JVatSzmBF7iXBjnLh4mzhpY0OG4PRzbPj+UPHyAsEV4lqIcVmI/7epg0VXVP4/HWDvuXxxUoT2w3i6ZJRnAgtZHXWt+NrLJNS2Wj02WzGBaH3pku4fkgUxjZC+RD1m07fTVSwchmNx/OVtzZzSJJEuWAkSrX5jD40Fl0gEJyOIIyGk5m2xx8/3yYIIlKGwnsL1UScZGEyz/JmBz+IyKTVoSlXu+N++YzOo/nygdd02lB5vFCh0bYxdOXQKQAQx+3q7bgQMZvWkuIhRZYo5Y1k2lYhpx+uHLunkWx3MeTun6MoSqaMSBLcmym9cyxUILhq9K24OdO0fTRNTnx5RZb4fKD2bmgK792pMDWSRVeVJP4+N3G8qRjFnM7qthTvK9JwTsHbF9s/PNYPvJM4UaWQYqthEkXxNV0+xvW84/e3+y75jEa1mCYMI54tN+n04jj7/ZkSpWPEEwQCweVSzhtsNU04wR5wHLqmy9PF2IfJpjUeL1QObCrwgnCosHjv/rZDpZBivdanZ8ZNpboW2zOeH6KpMoWsnqjeT41kcf0w2V934hyrW92kYKVaTLHg3ywV+sfz5STGctyJ09eFKIr4YqVFs+MgSXB3unglYmqCs8HzAz571cBxA1RV5v2FCqldRaXlQiq5vlVFPpXqt6GpKIpEEMQbzt5JHrbr8+R1A9eL95f371Tj2M4JkGWJx3cqbNT7g8nvGZ4tNVnZ6rJe6zNRzZLP6MjIhGEsMKYOmvfPm9gPfPP5z2qvF+xnr12+c66V8wYb9X5cTCxxqJ2cy+g8mC2zUY+FXcMojCd4SBCGIY1yBl1T9ok8bDZMvv+iRq1p4Xo+uqbiByH5jE4QRPzJ6/qQD7Pz/U6nNFKGkkyREb69QHD57N1Hml2b1UF+4Ti5gbdRyOo8W2ri+SGFjDYkspwb1C3siMHs3Q+qxVQSX1QUiWL2dFM4YH9NheeHtAdF2Zoqs7bdo2t6IMHM6HCMpVwwqLUtiOKz921xh50Y6Y541kXmPwWCq4KuyaiKhL9jBxsXVnp+ZhiagqZKbDYcQKKcN67dFA6AWjsW+QuCiGopxXvz5SG/5zpQKaZoDMSEZFm61TXWF/aXW11d5e7duyhKXOBvWW/U137+53+ev/SX/pJo4hhgaArv363Q6bkYuvLOX9AdA8xyfJ4vN6m1LYo5g8fzFd6/U2W91kdVJT68N3LoaxRzBmlDxXJ8JAkmKm8CdivbPaIoLuRQFZnxSoZKIR4pLMsSoweMbpyoZkkbKo4bUMobZ1YAoiryO417f1faPSfp6nW9gO9/UePBbImxcuZabviCq8vOaMEpUZy4j91NHGEYiWtPcCH0bI+JSgbTCUjp8qETpto9h2dLTaIoPrPev1sZqFxE6JqCrirElQ77k2MTI9lkPHIhp5NNqdyZKlDM6QRhRLWQurBGh2LOONQ+eTBbpt62kQZFI5Ik8XihQr0dF6hIxLZJKWccmlDYsS0g7ubvmh6FdwjeCARXkWbXTpqawzBCkiTSKSUpqvSCkE8fjuJ4AVMjWXIZjdWtPpbj8+3PNwnDCENXUWSZWsvi7nTxkj9RTMpQ+fBulXbfJZNSTz3++KR4fpgUF0A85WiimhENYIIrz/xkgXxWx/dDKoPExU7jY6WQZnUrVlDMpjWy6dgnTxsqPdOjmIsLpCZHcrHKpOPzk5/O0Lc88hltXxHBDmu1N41WPdOj2bX3Fax0+i5d0yWX1ijmDO7PlKi3baIoTrAIBIJ3R1NlRstptptxjFSW3xTB7Kjl7/i31WKaQtag1XMYL2eGlO12fF+ICxzbPefQIpp8Rj/W2Xx3ukgpb8R+RjE9dJ7enynR6By9H4xXMjS7ccJUHxSt776v3XOIIoiIEqXOKIonAohCD8FNY73ep5A1MG2fzbqJZfnkMjrLW904DkA82Wa7ZTE9muNf+FMLLG90KWZ1Zo4Z686kND64W6XTd8mmVHK7rvVqMW4a9f0QRZEYKw+f++OVLO2eG/sYmkI2rbG23UNV4n3qJDZ1PqPz/p0qvSPskb2UC6mhvatrunQGAhFhGMVxBNHEIRBceYo5gw9OsQccxW57p295tA7wYQCyKY18Ro/zdAfEV3eYHc/T7jm0uhL5rM5G3WR6NMfkSNwo+3BuOL7peMHQ/hqE8bQOSZKIoohO36WYffc9yg9CtpomshTnVs9jgupx0VTlUvOt50nf8hKRgiiKY9WiieNwgiBka+CzjJXTb50ecRXYblpJwajvh2w0TBYm3zRZjVcypAZFpcW8ceLmCoiLjR7PV9huWmiqzAd3K0P3bzVM3EFBqeuFbDbMU11PhqYwPxGvvWu6A2EtDV1TqLdt8lmdB3MltpompuOjquyz884DQ1P44G6Vdi8W97zNxVbnTbmQYr3ex3FjlfvxQY1OLqPzwd0qXdMjl9YOzbUpssSXHo7SaOcxbY9vP9nCcnzCIOL1ehddi2MLC1OFIcG2la0u+bROq+MQRQqj5TSP5yvMjOdZ2eomReG7fZid93v/TpVG20ZV5Vvt24dhxHbLIghCRstpIYgjuDRGS3Hs0Q/ieIDrB0O5gVbPOfW1ul7rJ0JSjhfGNvHgTFCUuImx2bHRVHlfrLJaTNOzPFpdh5mx3DsVHk9UM/QslyiKJ8i1uja1VlwUrGsSyVDxiH0Txsv5FO8vVOjb/pH+y05tR7PjoGnyoSJaAsFNppRL8f6dKht188ha46tKEISUcgY9y0MCClntWtYWNtpWklvy/CDJLV0nKoUU792pYNo+xax+7ZpQzpIL++T5fB7TjItqqtUqi4uLfOUrXwHA9/3kPkFMSldJVd7tz+P5AavbfdZr/WTEYRhFSVK41XP44G6V+ckCmioPJYD3EhsjVfqWh67JQ1M7VPlNsCZtqMxN5NG1En3Lw/UCNup9DE1hajSXBBzDMA5qOl6AoSunCpCclHrbotlxyKa1cyvo2tnQwyhiebOLocWjTnumx/3Z0pm/n+D2sjNlQkzi2M94OYOqSLh+SK1lMfYWdVGB4KxQZZla26betihkde5Ol4butx2ftVqfla0uihxPwvKDkGbHoZAzWJgs4vkB92cUpsdzjJYy+87l8UqGfEYjCCNyaS05x84ywdTpu2w1TXRVZnosf6pEoesH9Ky40CKX0UjpKoosMVbOsNU0E4W6te0eH9ytHhgM2W1bAKjK9XKYBILDCMOItVoP2w3Q9iQ8R0tpIiA7X2aimiWlKSBJZFIqqiKzuNHh1VqHetuiXDCYGMmRi2B5s4uuKTxdbHJ/9mooV6cM9cKdbFmWkCSSBjBFlkUDh+DasPu63X32FrI6+lSRbEbj7lSBjYaF50eU8inyOYNqwSCTUtFUBcvxWav3aXRsFibypN+StN9/zg7fbvccni41EwXbB3MlyvkUI6WjbY4fvqyz1TAZr2Z4/071OB9fILjVTFaz9K14KpehydTbTnJfu+/wbKmBpip4fsBWw8QLQl6vd3gw22d+UIi0N7lwFskGSZIO9TNkWTrWfpDL6Hx8fwTbDRJ7ZodizuDjB6NxIQrw2etGcp9yAbb/VtOk03PJZbQbpywtuHo0OrHKpeeHjJVTvFxtI0vQN11cPxwSZNixAwqDoqzDXq/RtsmkVCZHhidRpw31wBh/Slf56N4Ipu0ltsNuClmdj+6P4LgBKU3m89fNRFmyZ3knbhjPvqWQ7LjsjUdcxN5wUto9h+2WtS/3IRDcds5iD9jNTp6x1Y0bVQ1NOdTekWWJR/NlepY3lPfc8VPGKplkf7UHInPFnI7l+jyYK1EppJPXGd3lU+3dX2UptnUWJmM7LZPSkmkeu3G8gLWBWM3USPatsZKe6fJ731/D9UMqhRStnsPj+cqhjxecnr1NCIp8tZsSLpunS81EiKbZtc/U1w/CiLXtHo4XMFpKn0kzwP6/r8R6rU/f8ijlDUbO4H0UWeLjB6P0LQ/Tdml2HSzHZ2okhyxL++Ise2+f9j0BFEliZjyPKst8dK9Kq+ewMFXAcQM0VRkSGPve820abZvpsRwP58rvvIbdnEUty23CtD3Wa30URWZ6NHvsgn5NlfnwbpW+7WPocd2J6wWsHnK2hGHID17UabRtpkbjaS2m7VMpphirZJgZy2E5PrYbJCIyEDc/7W7iUGUZTY2Yn8zjeAFffW8iOdv32el7bquKLHLzwMu1No3BhNPtlsWH90aEvyC4MHb7qtOjOT66/yYe8Hq9g+u+iT+GYcirtTZhGDE5kj1RE/ZR553t+nRMN5l0t/uM3mqYbA6E2V6utkkb6qkbwMuFFB/dH8H1QrJpjd///ipfrLQJw5DpsTyjlTSVIBVP2jjABshl9CEhjLehqYrY4wS3GlmWmJsoEBFP4biOE9lkWabveDQHEyAqxTSqeg19QimuwQqjMM4hBaefrHyZHFd47KZzYZ7Vo0ePeP36NT/5kz/Jj/7oj/I//U//E/Pz8+i6zl/7a3+Nx48fX9RSbg3Pl1uxqmbH5vNXDZAhDCLSKY1SVufeTBFZlo6tbK0c8tiFqQJfrLTwvJCJkQyZlMbyZpetpsl6rU+1lEaRJPwg5M5UnPBZ2uyy1YgNsmbHPrSI86xo9xxerLSB2GF6tqQwOZJlYbJAEEYsrnfwg5Dpsdw7dcsWcwaTI1lWtnoou4K8rZ5zxDMFguPTt7zkOyUmcexHUWQmR3Isb3ZZ2uwKJ0pwIfRslyeLDbqmR9pQeDhbSpSVwjDij55sslHr0+45WK7PeDlLNq3xYLZEtZjC9QJsJ6BaSjE3Xjj0fc7zrHS8gGdLzUR9w/ND7s2U3voc0/Z4vd4himBmLEcxZ/B0sYnjBoRRxLOlJlOjOYpZPVG42yGK4qaRgz7TQbaFQHATWN3uJY2YSFDM6fStOAHjeEGi0La61eOTB6NJUUK9bfG731rmO0+20LS4oePOQOms23cZr2bZaPQZKaauRBPHaTBtj8X1LkEYMjOWP7HKriJL3J0usrTRRZYkFqYO30sFgqtMuZBivJKh3rapdyyKGQMJidfrXTp9l0bbJpvWGCmnmR0v4Lghn79usFHvE0YhL1bg6WKDn/3ReWYnCixtdGj3XeRBk5MkSUxUMzhegOMGjJRS+4oXOn03aeAA6PTcY/nJT183+e7TLSDe73RV5v7s2RYJCAQ3iSiKeLLYeKPQqskUczo9yyOT0vjes+1E3XJ5s5vYBZbjD9nV85MFPL+F4waMlt9ekLRR77PdskjpCnemimdSTPQ2dO1w4ZYd4ROAXFrjyWIDQ1d5OFcaetxmw2SraWJoCnemCqdSr9ztt2RTaqIk3OjYyIOG86MIBg00puNTzhvMjN1MZWrB2dI1Xb5YbqEpMpbj8WqtTRCG9C2P7z2v8eMfT1IupOiaLoaqUG9Z1Nt24l8f9noAjU58XE8fQ+AliiLWaz3a/XjK1vxEYV8BdCJGZHlJAwcwtN+0ew4rWz0kCRYmC+fqq+cyOtNjOTbrJromszBxtex72/F5ttQkGCjsfv66waP5MnPj+aSxJgwjFjc69CyPUs64sYr2AsF582ypiSrLeH7Ieq3P194ff6t/sjfv+Wxp2E+RAE2TWav1MDSFcj5FLq1TOGSSRqNjJ9OJFiYLpAwVSZK4N1Nkcb1Dpx/ihyFPl5rcmSom9g3As8UmluMD0Ok7fPJg9EDBCT8I+eGrOltNi67psrjRZWY0x73p4o1T7l6v9am1LdK6ysJU4dzt0YPYESRcq/XRFJk7IoZ0KEEQJg0cECt2B0F4ZtM4ljY6iXpss2Pz0f2RISHJ47LzvUrp8eSKrpmi03PJplUkKeJbn29guwHZlMaf+njqTKZ7KbKEIkssbfaSGEoUxZN+xqtZepZH13QpZHVGiim+WGlhOT7VQupUAn2ZlMbseJ71Wp+0JnNvukjKUDFcn2bXoW966LrCzFj82j/4YpsffFED4r1PUSTCMMJ244YZ0cx+cQRByJPFJv7Avzdt70TNUIoiD51rT5eaWHZ8trR7TpJHaPcc/tF3Vnmx2qSYM/jsVZ1MSiWb0cmnNX78S9NkM1p8FsoS1dKbs9TQh8+auzNFXq62CUKZB7PlpIGja7rU2zbPlhrIsszseJ7RY4g83EZ2pgoCOG6A4/oi1ym4EKyBr7ojeBaEEQuThSTGMDdRwPVaSW5gaaPLq7UOYRQxWcvy9Y+njt1wNDmS5eVqC8sNeDRXJooifviyDsTTMV6tdYbqDu7vqjto7akZ6JreO10jKV0lNdgqP3vVoNmNX79tevzin77PdstGVSTuHCFS0TNdfu8Ha1hOwOO5Co8WRH5DINiN4wV8+8lmMnUrCCMeL1wv8QE/8PliqUVrcFa/WG5dy0kc8xN5HDcgCMN4kruYjnetubAmjn/5X/6XWVxcBOA/+o/+I/78n//z/Ov/+r8OQKFQ4H/+n//ni1rKrcEcOG/1to2uK2QMhVrbxnF85LxB+JYGLNv1eb7UwnJ9Ropp7kwVDlWyTRuxktcO9bbF2naPVs9JkqEjxXTSzd/uWaxu9dAGXWxRxECV73gGWRBGPF9u0um75NPxmNCjgnx9O35vx/XZapjkszppQ+U1HRwvSBzdL5ZbfOnhWLK20zA7nmdqNMf3dSVJtucywiETnB1rtR4A5bwhnP1DmB2PmzhWtrp85b3xy16O4BawtN5FAgxVRpFkFje7fOlR/N1zvICl9S5hFAfI622HiWqWrunyx8+2KeYN7s+Ujt1UeRBBGPHFcjMpyHg4Vz5xAsx2/CSQAmAOEoxv4/lyKxlN/mypyaO5EpbtI8sSzY5NvW1TzBpYtk/KUMml9WRUPVJcrHUQe20LgeCmsGOTAhBBpZDm0Xyc5PjWZxvJXZ4f4gUhhqxgOz4vVtvUOxaSFGFaHrqh0O7ZqMUMQRQnOVVFPtZ1GwQhnh/GRQi1PrIs7duDbMdHVeULTaS/WGljOT61lsX3v6jxaL7M4/nKidQ7q8X0mU4nEggui/nJAvOTBb7zZAt/oJyy3bRi5WxNxnJ8KnmDKIqwHJ+0obDdMmm0bFKGSk1T+L3MGj+lKixtdFEUidfrHUo5g1LeoNN3+Nr7E4cWXew9n4/rzzZ79tDtRleIGQgEewmCkOfLLTqmS8ZQ2ayb1Ns2SDBRyfCnvzKLJMW29Lf9N4E7WY5VrT0/JJ1Sye8qMjQ0ZUixPwxDOn03noy1qwCq03dZ2ugCYNk+itw9sbr+eWA7Pj3bS5oiNuompUFhZs/yWFyPJ/lZts/iepeFqQK+H55o6tfzpVZSlL682aWQ0wmDCFWRk5jgUaxu9+K/1WAt2ZR2LZXGBBfLTnxeVWRmxuKiu3Ihxeu1Ds1un1Je5+f+uTs8nCvzvefbOE78PX2+3OLTh6P7zmrT9gmjENP2MTRlSD33bWy3LDYGCpfW4LmHFQ+mdAVVkfH8AM8PEz9hZ/9y3ABJgudei08ejp7q93Jcpkdzx2pSuQwsxyeKoNV1aHcdUrrCZt0kpauMDwRl1uv9pDDVsn3ShnqsSUYCgWAYcxCj2GmEOmnx84665g7Pl5tMjuSoFlJsNy1GShIPZg+OpbpewIuVVlIE92K1zYO5MqblkktpLEwWeLLYRJYkOj2XV6vtpIAlDKOkgSN+rRA/iNDU/blW1wsgimO8nb6LLEl4fsj3v6gRRSBLsXDFWRSe72Zpo8Nmw0RXFR7MlU6cb/L8kCAMj1103+45LG/uskcVKRH/u2gmqllRxH4MFCWeaLPzXU4b6pk1cABDtkwUge0EJ27i6PTdoe+VqvSGikR//wdrSTG1aXo8eV3nRx6PEYRx4fq7TPI1bX9IBGMn9qvIEg/nynh+yLOlJr/9zxbx/ZDJkWxsE6RUyvkUPdPl+XILPwiZOobdMzmSZXKPuF8Uxe8nyfH/d5bT3BOTebrYZGQQN13a6JJNx1PUT3INC06H54dJAwe88RFOi+X4SQ0KxI2ACjLPl1usbncxLY9626bWstE1iUdzFdycweu1DpbrJ753REQuo2FoSjLpc4d8RueTB8O2fjQQbttqmoAU50Q1hXrHToQRdnIP73pt3QSyaZX2YO9RVXmoyVMgOE/sga+6Q9/yCMMI1wvQB+INu+OIf/DDdVw33lMWN7p8+sgjmz5ezcJmwySb0VBkib7t8f0XtWQK+A9f1jG0N3uBaQ/HLwxdZnE9rtfLZ3Xeu3N2ReCGrpDSFaIo3s+K+RSzbxHR3M3v/WCNrUbsx3/ryQZjlfSh8b8wjPhipUWr55BNxfUZ71JrKLj53ITvTLNjs17r4/shsiLxcq197Zo4Wj2XjukSDjbLZs/BdQNSqetlE39wt0oureP5sTCusDWuNxf27fu5n/u55OfZ2Vl++7d/mz/4gz9AkiQ+/fRTSqXSRS3l1lDKG6xsxUWjmiIDErmMnijben5w6HNXtnpJQKbWsijnjWMnJk3bY3Gji+341AcqoQCVQorf+8Eq//SP1+KxjYUUP/bhJKoiH1rEeRCbjX4SbOmaLhv1/pHqd6Wcwdp2H39QnLrzfq4X4HlvnNwoih3ddz0kFVnivYUKGw0TRZb2BVQEgndhdTtW8D6NUsttYXYsD6yzvNm77KUIbglpQ+HlahvXD1FliU8evAl+KHKs7tbuOdhurNo6Uc3yeq2D6wX4fjymdG9A9CRsN80kGNgz47HMJ1V4zKY1NFVOgr/lYyQF3UEhlB+ELG92cb2QetuiWkzhhxGZlJp0rHt+yPRoPE7ctL1Y5U6MxRPcMir5VGLHKopEIffmGijnUzQGhQXZtIY+sEe9IOT7z7dpdWy6loeuKhiKTLWQRlNkSlkdSZIYr2Teek15fshmw2Rps0MUxk2hM+N5lFBK9qAoini+3KLVdZLmjrMuEDgM1w+wXT/5HVi2z+v1zlAwWSC4bZQLRlL4pygSKUNlKqXh+gF+ENG3PKIootV1aHVd6l0bpS8xWc3i+RF/9PkmrZ6DRCzUIMsSjY5DFEUUcwbvLVQOTKiWCynuzRRj4YSMfuzmqJnRHF+stOICBglmx4S/IhDsZaNhxtNuiGNaa7VerK4cQdfykmsyn9HJZ3W6g8e+f2cEXZNxvIBSzmCyevDkiDAM+f9+a4mthoWiSPz4J9OJX7A3Dui+JS54kXhBOFT4tHtdnje8xnrbotm1iaI4zrgwVaDbdzF05a1Fh7tfU1PjJHEQRKiqzL2Z4xUOut6wGo7jXY3fn+BqU8zqyLKUCCYsTBVZr/Ww3YBSTkdTFf7ZDzf4hZ+6n/jXECd1gzBC2ZN7S+sy33myTdd0URWZn/+JO8dax+4iLwDXP1zdyXJ8xqsZnrxu4LhxkUen7w6aFPpJQeD4LZ98m8voqKqcNNzuFLns/ju6e/aJvbcFAsHxKOeNRBRmJ365G9P2cNy4+OugRoyZ8TzPd/kpO1M8NDVuaFuYLBwqruMH4VARXLNr81v/+Av6VtyEem+6SGMwQcnQ1SGbQ5YlSnmD1mDfzGX2r32HlK6SSWmMl9N0TZd8WmOikmZpo8P0aJ6QiJdrbb78aOy4v7Yj6Zlu0uDneAGv1zsnUoavtSxerrUhgtFy+ljNGPvOI7EvXgsezZdZr8d5yckzbnypFFKYdpzH01T5RGIuO+z9Hu210zODYqyd6Xz1jsV3nm3zyf2RgcBO+dSqu4WcjqJIBEG8UeydErRW69G3PPwgpGd5tHtuXKMx8C1erXeS62J1q0elkCJ9gmZ1iD9/OZ9K3nvHNpkdzydN/JIElcJwjHeradJox76VYSjMj8d74XVTIL4O6JpCOqUmAgLHyb29jSCIc4oA02M5NFWmb3t89+kWK1tdam0L349I6QqKLLO23aOcT6HK0pDvnUlpJ9r3wzAiCKLk+x6EEVEUJddg3/J4utjED0KyaY3HC5Vjq/nfRO7PlFir9QnCiPFK5kwb4ASCt5HLaLGvmggOq/zgRQ3HDTA0hcd3KkOFvmldw3Vje1XX5BN9V5+8rvP7P9ggCCOqRYOvPB5PhGc0VUZTleRc2ntGBkF8jjpeQD6jn6ldODdeQJFj+6KUN8idoDDbsnetI4r3tsNqJbdbVmLr9y2PtVqP+Ss2RfQwdqauvm2is+Dsuc7fmR1URaLVdejbcS6jcg1FjnRNIQx5I34vx82q1w1NVZgYyeL5waGTRQXXh0trIcpkMvz0T//0Zb39rUBTJHw/ZLySwbQ98hkD2/XIZzWCMMT1Appd+8Cxw7uVuIGk++w4hBEEYYg8GMM4Vk7zYLZEuZDi73/zGVEUK3W0ew7ZtMb92RL6CbrB9i5l71oPIpPSWJjMs7TZI4oicmkdJBivxJvZylZswBVzOin9bDrTUobKwuT1OmwF14P17fj7OiWagw5lZlCksqO+IxCcN62+Sy6r4zgBuirR2TViXNdUKoUUjbaNrimxMxzFSpz5QcH1zlnmeAH1toWuKidSZ9x7Th/nbNyLqsh8cLdKoxOv8zgO10Q1y3qtP3D0Izp9h1xGJ5PWmBnLs9U0iQaftTp4vdte6CG43YxVMuiagu36lHLGUKD07nSRYs7Adn0kYHGjg64qmI5H1/TIZw1mBomWr743jh9GeF6AH0K1mKJcSB06utzzA374ss6rtQ59y2O0lMJxA/qmSyFrJHtGp+8mwaMwjFjd7l1YE8dENcsXyy1g0MSiKdcyYCIQnCU7xUR+EPFgrsSLlTZ922Oj1kdComu6BEHEVtNEkaGY0fHDCFWVKOdThFGIokj0LY++5aGoMqosU8jq9EyPTt89NEh/msk2M+N5fuZr82w1+oxVsuLMFwgOYK+dPlLOYKgKSLEASRRFSJKEqsr87I/N82KljabK3J8p0jU9LMenmDMOnUKxut1P1OKCIOL7z7eTJo5izsDQlURFf6yUZqtpEgQRI6VU3ExyxrR7Dn3Lo5gzDi3IyqY0chmN3sCHmqi8iXUUsvqbYhcpLvzTpXidW02T7ZaJIssgwYOZ0qFJ1fFKJilSTBsq06M5LMcnpSvHmmQGsR3X6jmEYYSuydcyQSW4eFKGygd3q7R7DmlD5SvvjfGdp1t0+y7lgoEsSYSDIqgd/xriRs7d8fIgjNhumnyx0iKlKcjZuAFkdavPw7mj1e6qhRSbdRM/iGP2h/kNP/iixup2D4lYSXpHDXptu8e9mWLcdDXAD94y5vsWoKlxDKWSN3i90SFjaCiKNBTLGS1nqLdtwjBuGqsUxb4hEJyGe9Ml6jmbKIqoFlNDjej1tsWL1biRwNBjVeG9jRzTo7khP0VT5aT5PG2oFHNGss9CfO3uFJ2mDZVCTn8jLNd3sZwAy/Xp9l1qLRtDl2l0HCZH1CE7pm95ZAwVRZbi5vi3xHplWeK9OxWqxVQSEwkHzfc7nCbe+zb2vtxJQzDLm92kGHi7aTFZzR45Ka2U32OPCp/xWqBryrkVl02N5kgbKo4XUCmkTiWyuPd7tTcWcW+6RKfn8Z2nmxi6gmkHOG7ARqOPpiq0es6pbXtDU/jgTpVWzyGlq/viqDvXbTFn0BsIcRiaQnnQULE39nma67xSSLFe6+P5sZ23MxHhzlSRlK5Qa1lMjmRRZDlpaEsbKq2OTavrUGtZuF5Au+swVsnwaK586yconDXyQPyz3rZRZInqO9qEihwLOkVAWo+nPXz2ssbSRixWUBmIRT1eqNDpOYDEvdkid2eKfLHSTibgHBa3M22PVtdJJsYk76vIjJbTOK5Pu+dSGPgkOxNe1mq9xEfoWx4vVlrkMhrl/Mmbk24CiiKfWGxPIDgLNDW2iZsdG0OPJ3g6btyY4HgBm/U+c7vO9U8ejPBsqUkYwtxk/kTTmV6tdggGZ1m75yLJb87xiWqW0XKal6ttMoa273oIo2hojwnO0Nb9qS9P83ypjR+GPJgpIsvHty8ezpf49udbAIkw52EcdY5HUcR2yzrX2OtpeLHSSqYNj5TSV2JS821h/3fkkhbyDqhKXMek9iQUWaZ0DRuBdEUmvSsvkDHka9nIvF7r8Scv6gRhxEQ1y8f3R67l5xDE3D5r+Rax3bIpZA0KWQPXC3gwV2J1u8fyZpee6bLVtDA0hS8/GtsXKJsezdEzY2WIQlY/sNHjMNK6yvxEAccL0FWF2fFckkRVVYmd3KihK8yMnXycz1g5Q71tYTsBhq4ca9xt3/J4tdaJG0hSGqPlNBPVbOIwFnNG8llFYEJw1RGTOI5mbuAErmx1kyIYgeA8yRgao6U0QRAiy2+aM37vB6ssrccTKh7Nl5OCrA/vVpkayVJr20gSzE3k8YOQz17WE+Ul0/aGgihvY2xQGGDZPoYWd1yfBl073rm6w+x4nnIhNXD2rcThn6hmmJ8sxOPBHZ9M6nClOYHgthEn8/YHNGKFRp1/9icNlre6NDsO84OAaSGjATpj5TSVfIpSwcC0fO7dqzJaziJJcfLtsMboZtfB9UJ2/HbTCSjl46KxnT0I2Kewc5FKWdOjOUo5g1LewHbiiQEiySG47UiSRLWYZr3W4/e+t4HjhZSyOnPjeRQlnp7VMR3GyhnWa31GKxlkWWKkmGKklIqncqoyfctjajRHGIaUC+kkqHoewbzxSkY0bwgEb2G8kqHRsXHcgGxaY2okx2bDBAnmJwpDvmtKV4cmUhVzxpHqaHttbnXXbVWJ/ZCe5WFoCuv1fjLtZ6tp8uG9keTsN22f7z3bIggjPrhbPfZ03t3U2xYvVmJ10NXtHh/crR44LUOWJR7PV+iaLpoqDz1GUWTev1OlZ7roWjz9cKfgpG95sbKoLkMUK5ntXme9HSubZdMacxMFKsU0YRhPMVre7CZJ6ePaO4Wszkf3R7Adn2xaO1DpWyA4iLShDhUtfeW9CVwv5OVqG0mCLw1U1Xf86zCMaHYs/tF3lilkDT55MMLz5RadnkutZdE23aQJY/c13+7FRXiGrjA1khs651OGykf3RzBt71C/YXmzyw9e1AjDCC8IkSUpbpzSFGRZQpIkpkaymLaPNChIvu0YmsLCVJGpQWNYJqUOFWXk0hof3x8RcRGB4B2RZYnRcpogjFjb7uF6AWOVDPmMHjevDgpfHDeg03cPLMbe66d8fG8ExwvIpTUUReazV/WkobTZcXjvTgXXD/nes63En5oZy/HZqzr1to08sNk0VWJmLE8mpXJ/ppTYMX3L47NX9aQop5Q3jrQ5VEVmajTHeCWT2GvbLStu8NsVuzkr8hktFh7q2MiyxMwJJykO+ZPS8fzLvfboUU0fgtvBaXyN3Rz1vcpldH70wwk2m31Mx6dveXh+mCjv7r02PT9gdbtPFEXHak5KGSoThzxmspodCGBpvH+nwvxEgWLOSHyJ2bE8L1bbhGHEaDl9qkkkuqbw0f0R+pbHymaX7z7dZKSU4YO7VSZHcvz/2fuvGMvS7L4X/G2/j/fhXXpTtrvak81md4uXV5Q4M6LMCNDDSC8ChgIozIsggZAEihRACYIACYLMAHMfhhgMOBBuc3R1IUoaimQ32SS7u7xJnxk+4ni/vZmHfWJnRGREZmRWuqjaP6CAiow45+wTcb5vr2+t9f+v2er9tb1/7/v9tzeodwx2WmNEUeDMXIHByMF2/GRtPgNkSXxq+TJJEuPcgCBAZ2ACAvmMiu0GZNMKlUKKUk4nn1V57WyV1y/UkCWRxaks93YGpDX5gHnL2s6A1Z0+2iT2h2hdnJkrUCvd/7kzcwWqxRRXJ6LJ/fGvtK9JujOwGIxt8hmNndaYV89VH7snKCEh4cnR9tX7zUPmJYfrgPtzZrn0492HclmNouUShCGyJHJuPnouiHIhH95u4XoBlu2ztjs4IAqdq2YYjB087/6+9Wnx/YDtibBxfjpL9pj76upOn7WdAYWsNml6vv87ubJSYaqUxrQ8ZiqZA7nVw1SLKZo9E9PyUBWR2UP9Gas7g2Nzry8K3w/ifg6Ipustz+Zf+HV9XqiVUrT69z8zM8dM236ZkWWRM3N5TDuaMvU01u7zRlVk5qdztLsmCFArp5Hl07cG3r5W5yfX6jhewOJUluXZ3GP1dye8XCQnsJeU3faYdj9Sxq7M5p+oMKgpUhyQ6ZpMo2vwyd0OnYHFZmPE0nSWYk7n9lbvARFHJqXw5sUanh+gyOJjNUBXi6nIxXdkk00pBxrNf+5rK/y3P13F9QK+9toMubTO2s6AoRE5gJ6kUUuRRV47V8XxAhTpZGq4/tiOk6WSEI2w3188e5KkSELCi2K7FU3imK8lkziOY34qiyDA0Lg/njgh4Vny1aszbDVGbDWHVAopfvatBX708S4/eHebMAzpDW1kWeT8QhFtMo0jCEOGposiCWR0JS4e7NEb2Syd8PX3ChWOF+A4PncnzVKL01myz7ixIptSolGkKRXD8tA1CW0y1UpVpMeatpWQ8FnH8wNWdwbYjk+loD8gmmr3LdZ2B3QGFoblsdUY8ebFKVbm8jR71mRiXMj67gjT8bi50eNbX5jn0nL5oWttr0BSLaZxvBGaInHlTJmFqWwkLpucNaLYPUO9Y6DK0lNvEHgUmZTCGxdqOK6PJArJiPGEzxXtvslu20CRRVZm8/GaHhgOv/snazQmrrApXebSYolSXsdyfERR5NJyGVEUaHRNlmfyfPWVaTw/5M5Wj922QS6jMjvZb/wgRJw49iXNlwkJzx9VkXjtXBXXv5/TmqtF59enIQqYqWS4tFzi9maPtKbwlaszB77f7JlxvrHZNdhtGfhBSDmvxeIEgD94Z4POpKC30x7zl751/qFFy6PoTqZ7QeQq1h85R4o4IGr6O06gIu373pm5PLc3e7hewPJMjt7EFRs4EAv1R3YsILkvNI/2wUxKYWg4DMYOubQS748nQVOkpPEk4anwjdfnePNiFVkUUfe5XGZTCq2ewQ/e3540JY9wPZ+9JqqZSprewAYBSlmNNy/WgKgp4+Z6N85/+37I8qEJ0YosHrnOtlsjOn2LrdYIUYry5ookomsyiiKS0mWWpnPIksjZ+SLru0MEgU/l1Gi7Pms7A1wvYKaSPpUF3/08LPeR5EUSTgOPylW8LKztDGj1oiao7tDmtfNVVOVgfHLS9aZrctyk7PtBLOAAoomHQciffrjN+m406XunPWammuH1c1XafYt23ySbyrE8kyebVrmwWDwYi+yrSfZHNm9fq3NmvsDKbP6RDrz7m3MXp3PMVNIHcjdPC0EQOL9YfOIczNn5Anc3I4fjhanciX/3+99fQsLT4lGfK1WRuLBQpNExEQSQBJFCVmW6nH7gcTfXe7FwvD+yef187aG9CA/r6dA1mdfP13D9APWIfotSXucLGRU/CD9VvCBLIt2hxbs3mwBs1KPJaildZmy6FHMaC1O5A3tfNqWiyBaKIqIpEiHRuexxz30Jz5/zC0XubvUJQ1iezeF6AbIscmGxxJ2tPsWsxne/vESloCGKIqblcWOtSxiGDMYOsiRiOz6r233OLRQn548tCGFkOuTSKhcWSwD0RtYBEQdwbD5xYSoSNpu2hyKLcfO074eMDAftITG/aXus7Q4IgpD5Wja5TyQkPEWmy5l4KncurTBzhKDsOLHDo/ifvrrE//aDu5i2F4kVZ+/nCfoj+0DfQ39ks9kYxoYryzN53rzwZD2Jx3FvO6qvAnSHFq+frz4Qe++2x/zRJOeyUR8RhPDFibnGHpVCCk6Q8tjfn3FU7+L+3Kjt+Adyry8KUYzOFXuTk2RZfEDAsVEf0h/ZZNORoVji7P/0eNRn5jSQTSnMT2XjXoLl2dNnyChKAq+erfDO9QaCAK+erSAIpy8G/sn1BvWJUGwwdmj3rUTE8YLYao7oDqzYUOxJhHGJiOMlZDB24sTg2HSRJu4Hj8v5xWI0NnFy2Pnw9sRJy/WBENP2Ke7bSw3LASLFPER1oieZ3CSKUeLvKC4tlbi0VIq/3qgPeft6HdP2SeuRC9hRLgSeHxDsS2CE4YOjyR5G5lCR+EUHRi8jQRDieD6aIiVTC15iwjBymwKYqyaTOI5DUySmSmnqHYONxjARcSQ8c1RV4v/8cxexXZ+x4XJzvcdPrtWxHR9ZFsmmFYZjOyoWLBVxPZ/bGz3CEGzgzlafC4tFRFGIxygevnc9CkEQ0BSJj++28SZJkZvrPb5wqfZE+7rjeFheQP4EDZ75tHpAtJlPf/o15/sBXhAmTVJHEIZhPPHsNB7uP89s1Ic02gaOFzAc26R1hXzm8BoTUBUJw/LiWHxhKkchqyMKAh/cbkZOKT0TQRDYbRvIk/HIx1HIaizN5Gj3LWarGZZncscW5xemcixMPZhwGRkOsiweGKXsuH6c8HuaJE1OCZ83LNvjzlY/PoDfdLtcXikjSyLtrslg7BCGIeHkZxtdg6FhM13Okp4U3y8slvjG63Msz+TZbA7ZaY/JplQqxRSyGO0rCHBlpZyINxISXjCiKKCJ++91IWEYOd7fXO8yGNtUCjrnF0pPFOt9+eoMXz4k3oCoIXF/vvHOZp8gDAmCKO+2/8jQHdx3ZLMdn8HIRpJFMrpy4qaebEqJhSDweLm4484CaV3h9fO1+Ou9hqmUJrO4zz3asA66DO41YUEkCrm4LzcZ/bwzef5kf0x4dvhBiDvJvW42Rmw1R+iqxPmF4gHzhc7APpCU7w7taNKD5SEKIl+4PMXr56sEYeQU7XrRGt2fKh9bLkfheQFjyyWXVhDFqNlvsx7lGW3HR5Ml1Els/80356mV7ufpLcdDVSW+eHnqyOd+HO5t9RmMo3V3Z6tPJqUcOGckJCQ8Xzbqw/iePTbdY3IVL579e1sQhFi2x/JsnpBoD6uVUmRTyoH8xV7dS5Ul/CCqeh5u5JIkEV2TsGwfiFyDJVE40HTl+yH9oU1+OsfPf20FiFzGV7cj8cvIdClP4pYgiJyIwzDEcX3qHYNaKUV3YAODuDH2pBwn+jAsjyAIPrWBz1E5GM8P8B+Rl82lVd64WDv2+wkJj8IPQrx94oaTfO4+DbVSmi9dmY6+EODqSpmUJmO7/oHX3L/XOG7AbnvMTnuMKAicnS8caC4/SU/H3vnPD0Jc13ugDi9JItITvuUgCBhZHqossrY7wAtC5MkZ8tZmLxasG5ZH6tDkhUpRRxQF5mtZ2n2TUl5jeebJjEUTni+FrMYX9jUcO67HyHTJpBTeujJ9wDTVcX1ub0a1yKHp0OqaTJXTyCLcXDfpDm3qHQPX9REEEUkSGZr3zRIe5xwf1T9LWI5Hp2fQ6Eaxxd4U8Ydxe6MXm9Pe2ujx5sVa8llMSPiU2K6PPBHq7uXBTNvDdjxSuvLEPWH7+8oWpnL8X//yG0f+XEqTD/Q9uF7AdnMMRPclRRYjIbB4/E3QcX0EQTjxVMv9+T/fD7Ec/4FYutM36fQtDMtFkaV40umTstefcRTZlEJvcqaQJTE2wXxaHFW3fRSCIHBxucRmPYpfDhttt/YmARL9nVRZPNADkvDpedhn5rQQhlGcfFr7VEQhinG+eDk6G2RS6ql8L5IoIArRfqfp8sQI6PTheAHmvnz1aaMzsNhqRPl1w/Ki6XcnGGJwmCQz/pJg2R6W45NNKzjuwUV1+OuTktJkLi2X468LWZUb6x1sJ8ByPGpFnVopxfmFIu/eaPDx3TYAb1yocna+yI21Lp4foKsyC9NZUqqE7QZoqnTsQctyPCzbJ5M62XjwreYoLqyOTZed1ugBEUd3YMWHy2oxxeJ0lmurHSzbj12EH9XoVchqnF8s0hvapHX5pXUSelFYjsf11Q6OG5DSZa5MGoYSXj4GY4ex5SEIMFNNPscPY3E6R71jsFkf8tq56ou+nITPOJ4f8N7NBjutMd2hzdm5ApW8zif32qR1OUoESAJv36ijTEYM7m+wsF0fVZG4vFKm2TWQJZFSTotdDk6q1A2CMBZw7F1XEIRI0uMdOjbqQ/7o/S18P2SmkuE7X1p4aMBcyuucWyjQHzlk08oDzjyPS39kc2ujRxCElCfPnQgMIzw/4NpqJx6zeXm5nIw3PwUMxg6CEDUa/vCjHXw/EkitzBcONEZUCjorcznaPYtsSmaqlCGbktlujhGEkPdutdlsDDBtn5Qqkc+qpDSZTt96oOB4mJlK5olj4D98ZyNycBMi1+AzcwVWdwY0OgaCcH+MekJCwpPheAGEYDseO+0xYRgVVOaqWX5yvc5Oa0RvFDlUKZLIymyOVt/izvaA6VKKS8tlilmNYk7jg9tNtppjOn0TYVIkUWWJ+akci1PZZy7gcFwfw/Jik4aEhISHs9UccWu9iyAKUePNzhDPD9isj8joSnQWkMTHcsTzg8jlUpHFA5MvDucXRRE6PRvX81maOXg+matm2ZoYSOiazB++u8nY8khpEn/uK8sncsWc2dcwVMxpJ24GHYwdbq53CYKQQlbl4lLp2LPAcfFNIauy2SB+Tw8zdtifE33tfJU3LiTNiAlPH8Nyub7WZWy6dAeRg7sfhNRKaSRR5LXzVQwrms45VUwhy2J8tp+rZbm0VGKnNSYEZqsZTNvj+lqXTt+kN3KYKaUZmk7cmHfUZ743tPjvP1rHdnwKWZWf++oyjns/fzBVSuP7AXO1LNVi6kDMsLrT54/f3yYMo+m3335r8VP9Puz9+1EYNXNIos/YTGKIhIQXge36OK6P4wWkNOmJa5LPmmJWw5zUE/fiHFmKJh/v8acf7XB7owcCfOHCFF4QYDs+Y8tFUyRkSWSulnnAvOLycpnt1pggDMmlFAzLZa6a4cZEcKap0oHm55Hh8OHtFroaNWPf3epTymnYjs+11Q6uFwlSM5M86Z4b5t6+a7s+puWRScmPnMxxFJ/ca/POjQaEcGm5dKSA90npDq3YfKhc0A/8fhMSnhYjw+HGehffD8lnVGrFFHe3o8kClYLOuWfwuZutZhBFAcPyKOU1/CDk3ZtNgiCkmNO4sFhEEASKWY3t1ihaA3mNjcYQAQGfkDtb/QNu3Yf3y/0xzsiI3HArhUgscX2ti+cFZFIKl1fKT+TOuh/PC/jvP1qn3h6zVh+QS6u0+yYrs4VIsJG/78LruD6trkkhq8X1/7NzBbbVMZ4f8MXLU8dOTUx4eXE9n7ubfVp9K2qGns7GBpBBEDVLu34Q5Rkdj+3GiA/vtBAFAT8IqBTTXFoqkc8obDVHKLKEKAh86co01WKKtC4fab56HK2ewf/48SaO51PMabx+rooXhFQK+iM/X/vXTjAReAVBmOQYExKegDAMubnepT9yECdGJrm0wsd323x0p40fhCxNZ7lypkIppz1yGps3mVqnq5FJ1En7ylRF4uJSidWdProqk9blWMQBHMhHHMVGfRiJCQRYmckzdYL9qJjXqLejieaaIsUGWPvRFJlm18B2g6j5OXg8gfXjcHa+wHZzhB+ETJfTT7UH74/e22J1Z4AgwFdfneH8wsnfR3YSixzFUbHN/n7WpI8wYWg4vH29zshwIyG2FzzV8+jzIAijPeL6agcEgS9crBEE4akTcuQyCh/fs2IzoJUnEA68aNp9k//6p2uMLZepUpo//7XlA1OrTwMPOxM+DqfrXX9G6Q4sbm32IIwSgReXSmiKFP1RhaiA8jQYGS4LtRxjy0VXRZZm8rx2vorpuPz4k9348PT+7RaKHI3Psifq/J32iMHYYaacRtNkLiwUKeUPjuAZjB1urHUIwyiB+srZSnyg8v2AZs9EFAWqhVS88RWyKoIgEIbRZljI3C8w+UFIu2fyyWqblCojCAKtnkkQBrEjju367LbHLM0cHA9/FOW8Tjn/7MYGjUyX4ThqXj1tzqa7bSMOkk3Lo9k1mU0EAi8le00U1WLq1KtznzULU1l+cq3OxkTxmJDwLLm71eN//GQDw3QZWx6iKFDK6VxYLCJLAnc3exh2QKtr8v33Nrl65nXyGTV2ntxLhGZTCtlUgVbP5JPVDoQgSQIzlQxpTX7g3nsYURSolVI0J2PzKgX9kcmXo3j/VhPfj6L93faY7eaYhUcE/ZVCikohhR+ENDpRgqRSTD1RMWKjPoydOToDi2kzfeDealgu/ZFDWpc/d2OVm10zLlg7bsBOe/xEE9sSnh+3N3uxo+X11Q5+EMVchhU1cM2Uo5grCEK6Q5ul6Ty1Qorbmz3afZO13T6yJNEb2Vh25HqiyRKyLDJTznJzo0s2pfKjj3d57XwVy/YeiLk/Dc2uwcbEnTcM4d2bTWYrmXidhyGs14eJiCMh4VOQTSnx2bvRNaMmyiDkTz7awXZ8zi8UuLXeo5jTmKpkqHei6RyRm7bHj6/VubRY4uPVNrIoYtke6/UhhuWRy6h8+fI0siQ8Mo74tBiWy7XVDr4fCUivrJSTJoCEhIfg+QE/+ng3uqcKYNku5XwKQRCwHI93bzaYKkVxwlHNhkfhByGf3GtH8aIAZ2YLiGLUIJ1Lq2iqhO1E+UY/CGOny1bPPDDx9ptvznNrM2oyMmyXW+t9AEzb56O7LS5MCoOPivefREC61RjFZ4H+yKE/cg40pLf7Jq4XUM7rxzZypHWFV85WHnlmcLwgFnAAfHinxStnKieeNpKQcFK2W2PaPZOdzpiN3SFDw6GY1ej0LTK6zFQnzdrOAIic4P6nry6xUR8hClFc7/kBy7P389+360M8L8q3+36I6XjkMypT5RT5jEY5rxMEIa2+SRCE1IopPrrTjtY/0dq6td7l0nKZ7aY4EVEIXFmpPrBehobDD97dwvUDVFliqzFitz0ml45yGk+SC58up2PX6kxKQRIEPrzdxvMjF78rK+VkknZCwnNEUyRWdwcQQlqXeePCp5+48yxYnM6R1mUcN6Bc0B8wkhsYTiTgAAjhD97e4NxikbQms90cUczp1IoptptjZiqZAw1IqiKxNJ3j2mqH1iSvujybp5TTGFseZ+YLpPXIsf/Weped9ph620BXZRanswRhlB/ZaY9xJyI8RRKZKWdQZCnO5U2V0oxMl+urnXhix9UzDzdo6Q4i4w5JEvC8qOH9/VvNuFHjxlqXV86Wn9pEsc36KBbCdvoWo4r7WILihISTsNUcxfWHwdih3TdjQVO7bzF96HN3XJ/B4yAIwoHzycd32/G5oze06Y9sXC+kP45ysIIgIIkSAkF8Df2xTatnUinoCIJAIasd6OmYLqUZmy5rO31+fK2BJArIssiFhQL+pFd1bLq0++an7v9Y3enT7pt0hxZj00NAYHE6h6aIfPtLi+QzKjfWugwNh3p7jCBEjfyvnK2gyBLSEzrEJrxY9mpjkiSwtjvg2r3I+HS2miYIw0mtIeS//dk6qzvROX7vszYyXXRVxrBdZFHEMJ14gsxcNUcYRtOd5qeynJ1//JrTh7fbOBMH6N7QxrR9Lq2crKl4upyOnd+LOY0gCPl4tZ3kGBMSnoC9XBpEdcetxoj5qSx3t/p4foBpR/UEw/aYrWa4eqZybGO+6wW8e6NBd2DFoub9fWWNroGmSHGeTpZEWr0oli7ldTbqQyzbx7J9dE2ODSv2+hmOw/V8thqj2CBvjcGJRBzLM3kyuoLnB8f2SHh+yOJ0nqFho6vyMzVKlCXxRL2Mj0u7b7I6ySGFIbx/s/lYIo6HUc7r7LaNOD+jyhIf3mkRTprer54tP5EIPeGzw2Ds0B/amLaHJInUJ/0CpwlBEPjxtV0261HsEQYBv/CNMy/4qh6fkeGSS6kEQYimS9zdGfDK2dNlcP3jT3bZaAwhjOLHlZkcb1x8OXNSx1HK62y3xnheNO3+Sc95z13EcefOHX784x/T7Xb5K3/lr1Cr1ajX6xQKBXT92TYUvKzUu0acbLMdH8NyeeVchZHhPnTqxeMiigK5jEpu4nxXLuhsNUdYtjdJTAQUslo0bmeS/BiMnXgsse34DMYONVWm3jUeaABpdI04sed6AZ2BxUwlQxiGXFvtYFgefhBwY63DwlSO2UqGM3MFRobD0PAoZNUDDaI3J4mFRtdEFoW4WC0dcgJ/GZRwI8Ph2mokYEGAi4ulh7r8vWwc/hW+DL/ThKPZU6fPJSKbR7I02U82JqMAExKeJXc2+rT7FmEYOSDtNEdU8joXl0qkdZn1iYM9gGFGBYCLSyWGhoMkCg+Mva93otjA8wLubA6iCRcphcXp3CNFdmfmClQKKcIwfGKBw+F77eEmpu7Qoje0SWkPTre6td6NxSmdgXWsk8PDOHwfEvc57xqWyyf3OnGB5dxC4YAT3medB343yT37pcb1gljAAZGzw1QxhReEaIp0YMTtna0e3UE0VnenPWIwcthujzEsj3xawfUCwjAkl9EQBYHF6chVazR28fyA1Z0+nYHJbCX698HI4fxi8VO/h8PJ2/1nhfjfkkk5CQmfClEUyKUV5idjqRVZxHI8FEnAAjRVplJKMVfLMlVMc2OtzWDsoKsya7tDFFFAVyTubQ/IZ6Kxv7IoIAgQBiHbrRG18rO/V+41kkI0vrfdt5ICa0LCQ/D8kNXdAc6kqdr1fNK6guX4pHX5QExe7xgnEnEMx07cJEgIH91tkZmsQ0UWuXKmjGl76KrMRn1IrZgiCKO4xNk3bluWRa6sVAD48HbzwGvUOwaKdL/B6sqZx4/3H4ZwqL66P+5Y3x2wO3HU222PefVc9dhCc1pXHrkHiRDtlZN8ZhTnPPGlJyQciyQK9Ec2hJErpmX79AWHQiZyQ6537rtRjk0XRZZYnM5xe6PHRn3IZgNeOVuJP9N74ilx4gotCAKKIjFXzcbipv3ni3bfeiD/K8siqiLx6rkqI9MhdUTzQndocWujx2DsMLJcagUdVZGxHY+N+vCJc+EzlQy5tIrrBeQzKtutEd6kszEIQlo9MxFxJCQ8RxzXZ2Umj+sF6JqEYbmk9ZfTA/BhOUBZBARgMtlwr9laEKL8zN4+KAjRjx1mZLqMTTf+ut4Z8/r5+xO6XM/n47ttbq13Y/Gb5USutBeWioiicCCHCRASRo3oISxMZynldO5t9+O8pudHtdS5yVnwMDutMRv1IWPTZbdtsDSTQ1XESXPA3hvioROUH5cH87JP7akTEmIeyC0erv3v+3YYhvFEM4imeF9Y/PSNiofF6JuNEYblcXOjiypLLM/kMCyXWlGn3jHZaAwpZnXubvUZGg5n5gqRqeWkp8O0XbZbI7aaY3bb0X+VvI6OzNZEPHbcaz/R9U/OQXu/S1GEbEplZS4f55dePVfh4zvteBKR4wZ0h/ZTMxBNeL6MTZdP7rUJwygHpyki3YGF5fg4no/nhwgCdIc2H99rx5P9/CDk66/Nosoig7GDH4ToioS0r+4nCCGqIuN6Ab3JGeJxOXwrkg6FEkPDodUz0RSJmUrmwD6wOJ2LxRv5jMpmY3Qgx9jqmSzNJOeDhISTcLhcJ4rRvWIvdhxbLqIQxa2W7dMf2cfG2LvtMbc3egSTxNnYdKntu4fU20YsYN5pjVEVkbEZ5SXXd4fx4wD6Q5vXzlUYmS4pTT5QHz2KzeYwNne2nIe7mgdByG57jO36VAqph5rOlQs6pbw2yb0Kp/KeeDiOeBJDz+PQNZnXzt//O63vDuO8qe36SRyRQFqXGU7OzoIgsDB19Fn2ZWZsOuy0jDgXuV4f4Tg+2jMUdT0LTNsjJKqnOI6PLJ++w/vIdOOe+SAIGe/Vtk4RmiLx2l5+/QT3t+N4bp8+3/f5h//wH/K9732PMIwKCz/zMz9DrVbjH//jf8yVK1f4u3/37z6vy3mpOOymr8jRQfppiwDeuFijM7DpDEymyxmWpvPc3uwhiiIXFkus7Q5QZYkvvzLNXC2L7XZRZZF8ViWfURkablwYPWoCwP5/a/ctgjDEdnymymmMySJbrw+ptw0aHZPpSpqvvzbHW5dncFwfVZHiw5rvBwyNqAG0ktO4ttYlCENePVthaSaP4/qxM0eja3Bns8dXX5194oXwaekO7ThwIYTeyD5VIo7ZajZOUBeyGrXESfmlZbsVOWEfl9RPuM+eg8xmIuJIeA7kskokenQ8VEXi3GKRb31hnp9cb1DvGEyX0nhBgCSKvHouaoYaGg7bzTGSJLA0Ix64h0VJjsgZyQ9CFCm6P/aG9iNFHIblxnuFLIlP1Pjw5atTfP+9bWzH49xC8UCBYWg43FrvxV+HIfE1+X4QCziAOCE8Nl22GiNEMXLBeJSrxcpsnlsbPVwvYLqcPvAe+iMnLnRCdA/+PIk4asUU/VHkDJZJKfF47ISXE0kUcDw/nlpxdi7PwHAZGQ7LM/kDU1R6w/vFkcEoWjuG6WHaHoWMymwlQzGv0ewYdEcOsiyRViX6Q4dG10AShWg9RlsM3aHF06CU11mayfHujQa6JvNTr8+ytjvAcX08PxKBn3kCZ66EhISD6JpMMacThNAeWKQ1hdfP13jnep16x+DsXJH5qQxhCBeXSlhugOv5OJ6AKIl8dLeNZbu4ng8IaKqIrsmMTRfL9Snlnr1pxuE8wXEO+QkJCRECIbmUQnfiYJfLRA0LjuOTSSkHTF0etp48P2BtZ4Dt+g/E/qbtxSIO1wuwnfv7wdJ0jjtugB+EVIs62dTR7s1XVirUOwb1jkEpp5PP3n+NoeHg+8GJioX9kb3v/JM7Noe3PJPn1kY3zinmM/evq9E12W5FzRzFnBaJXTNP7jotyyJffXWGn1xrAPCVqzMnboLsDW22WyNkSWR5Np9MS014KPO1LDfWuljuxH1SEgiCAEWOagCqIsXNCQjQG9hcX+9gWh61UgpJFOmN7FjEMV/LYlgeM9UMI9OhkFVZnM4d2Cv2ny/GpsvllQp3tge0eyaLM9l4oo4ii8fGCb2hTeCHlHIazZ5JX3L41lvTSJL4qXPh+/er/dftegFbzRFjy2Wumj1VOfaEhNOKqkjxf3tfn0bSusrFpRJ/+uEOpu1ydaVCQIhhe8xUMlQLOoIosDyTPzJ2UWUxFoHAwd/DcGLktlW/P/VbkUWWa1leO1eNzfPmalnGVlRrK+Y02n0r3t/Xd4cUJ679+3mYk213aGE7Hne2eoxMl3xWoVZMM1NJc2O9RxiGXFwqcnerz3Q5/VRypCuzeW5v9HD9gNlqJhHmJzwTFqdzWI6PZXtUiylqpTR3Jp+7uUOfO8cLaPVMWj0TURBwPf8BEUejY9Dqm+iqzPJM7kTnk6WZ3IEaRKMb5W8VUcRx/YmwTWZptkAprxOEYdwn0R3a7Hn13lzvcn21S39kUS2m6Y9sHNfHsDxsZ0SlmObVc2VkScK0Pcp5nfJTmJR6Zq7AVmNEGAZ4fkgpr1HMaXzx0n3xma7KVIupAw7JauKefWrpj+/3oyiSyMhwSesKjhudK3JphSAEIRQI/BA/CNhpjQmJconLcwX6Y4f2wEQSJeaqadK6EoknwpCR6aIqErouxVN+fT9kfip7onP3W5enGYwdBmOHhaksZ/fVPizb4/qeISrg+gHLh9zp90/3OxyLnNbYJCHhRVDIakxX0jQ6BpoqsTSTJ6XJvHK2wns3G+imTDmvxes6CENurHUIAh5Y747rMzBsLDuaCjdTSZNNK3FfWW9o8cHtFo4bMFtNU8zq8VnfcjxMJzKUliWR8wtFFFmilHv0eg5CyGc0bMeciBQfHo9uNoax6UurZ/LqueqxZtnVos4XLk1R74zJpTUuLD2dCRbPk2JO57XzVT6510aVRb76ysxTff79f6fD+2+S/0wQBYEzcwVaPRNVER86VedlRRLBcT2GRiQSl0X1qYqhnhdn5ws0upG5XimnUSuePoHV6+dq1NsmhuVQzqe4tFR80Zf0RDwsv35SnlvH+7/7d/+O//yf/zN/7+/9Pb75zW/yF//iX4y/981vfpPvfe97n1sRx+J0Dn8y7aJaTH2q4uPDkCWRM/N5psopCplIWdobWZGDnizx3S8v8eq5+2N1XjtX5dWzFdbrQwZjh1xKRVVEUppy5HjNuVoW1wvYbo1o9gy6Q4vt5ogvXp6KnERtj636CEEUMG2P9Z0hb1xwyaXVB5o5JUlEUyVsx6c/dpgqpViazjM0XHw/4NJymd32mBtrXSAqKElinZ9+c/6Z/O4exeGg8WV1KToORRa5eqbyoi8j4QTcn8SRNO0+ir3JPq2+NXEPS4oNCc+OmUoWXZNwJi5oruvzw492qLcNBEFgtpZhfipHrZBieTaH6wVRgcD1o5/3Al45e38fXpnNE4YDJDFKnmiTBqd06tH3lxtr3dj14obV5QsXa/ed2U5ItZjml372/JHf2+9IB5FQo1pMocjigfs3gK5JEIbcXO/GwotbGz1eO//wMX5pXeGNC7Vjvnfwd5D5nK1tUYymuCScHgZjh436EFEUKOY0/o8/c+7In0vrSry+5mpZhoZNJiWjyAK1Yor5qRxfe3WG9d1hLJbaaY3oDEyGZjTxLiSk3TepFFKPFHDtuUsc5169h+36pDSZr782B0RruJjTURUJTZW4cqb8woTUCQmfJc7MFVjbGZDWZb58dTpuvvlzX1k+8HPv32rS7JoMDScSUqVVeiML1/MJwqgIWi2kEAUB2/NZmYvEk6r87BOQ0+V0NMHTcMhnVKZe0uRtZ2CxNhk3fmaukDSHJrwwVEXi6tlKJHYWBAzbRUAgMxFTpDQZTY2MXs4+RDC5vjukPZn8NTJcpsppRoaDqkgUsir9URQ3iKJwIP+213Do+yFz1cyxTRGiKLAyaVzKppTITGWrB0RCkJMUOPbOP3tngsPnn/2kNPmA6/V++iOb0aS4Yrv+kS7aj8v5hRLnF46Pr/ecu/e/T9fzubXRjRtQPL/3UubVPD/g9mYvLq6fnSskk/xeEKoi8d0vL3J7s8/7N5uoshTlAyZn/rNzBVZ3IqF0LqOy0x4T+GEU9wswU85gWh7vXG8giQJnFwqcnS8QhCHZtMJ0Of3AlMz95wtFFhnbLpeWSjA5Tw4M55ENhBldodkzCUI4v1BkrprhwmIxdvW9/1onOw+EYYjrBciSiCgKtHom6/UhApBNyfghjLoGaV1hZLjc3uzxxoXqQxucExISPj3Pq0b5aemP7GiKRQjLM7kHBAueHyAKAl97dZbu0KI/duIJI7IkIIgClbxOPqPGZoP70TWZc/MFdlpjvCBkZLi8c73BTCXNTnuM4/iM43hNIaPLnJnPH8i/7K+1BUHIT67V4+/ZTuSSPlPJ4HiRkV0xqz206SWTUvjgVgvfD7Fdn3bfIpNSkESRr1ydYbs1wnYCRobLyOyT1pVjG9ZOSial8MbFo2OxhISnha7KvHbuYI3guM+dKAjUO2Ocifi93T+4djsDk7tbfURRYGS4CAIHjHOO43ANYmy6DMYOc7UM7b5NPquxMpunO7BY3emz2RwxVUxNJv5F62ynNeKd6w1GpkN/5GDZHq4fYlounu+T1jRyaYWZcoaZp1zXdT2fr78+98jeiIWpLJ4f0B/ZDE2HO1s9asUUS4ca6BNeTnw/IAhDFFk6UAsrZFWqRR2EyGStWkyR0mTCMGS7PSKfVfnoTisWDr1zvcEvfvMsf+N/vgJEZnAf3WkDUaO1IAhcXCwRhpEp2//+w3swMXAbWy5vXqwhiVEtU5HFI2uO2bTKL37z6NqHYXvsM+R/oM54mKlSCsvxGIwd8mmV6XLUlOh6AXc2e4wtl2JW4+x84bHrnwkJnweWZ/IHhFJhGLIwleXMXB4/CFndHmA5Uey/2zIw7ciU+eZ61FewlwNLaTKEAkEYIoZRDLw///X//N8/4c5WnzAIaXQNfvaLC/H3NFXCcn3CkAPr/yQokkitmKKYjfL2j6p3jvbtKWEYTdRr9y38IMq37J/MIQgC5xeKnF8oPt5FvWRMl9P4fogkCeQyz66+sTiJIyzbo1zQKWSTWsqnIQhC7m73Y7PO8wvFR9bpXzZ0TWa6nI7Nwcv5l7MO+DBkERw3iKcFWW6A/BxqqE+b2UqWb745TxiG8eT008bSbJ7LKyV6I5v5Wpby58i89zDPrdvme9/7Hr/8y7/M3/pbfwvfPzjqamFhgc3Nzcd+ztXVVf7+3//7dLtdcrkcv/mbv8n58wcbDsMw5J//83/O97//fURRpFgs8hu/8RssLy8f86zPnz3V6bNmpzVmMCncdgYWiizSHzp0hzayKDCcBDaG5eL5Ibm0giAID6jgj0MSBc7OFxib0fi1IAgxLI/t5pjpcpqN+hDb9SnmogSwJAsPHRd6eaXMdjNqTMulo0AgDCPHDVWRGBnOgZ8fPeKw9ywp5XXOzBXoj21yaTUZH5bwzNhz15+vPdyJPyESV5VyGt2hzWZjlDQ9JzxTTMtlvpalkHEZmS6W41NvG2w1R8xWMgiCQFZXuHKmDET32t32mN7QRhDui472UGQp/sz2RzbNnomuSo8UcAVBGAs4ADwvIAiiA/zTIp9REYTontwf2fTHDv2RzVwtw8JULr5/w0Tg6QcHJmfY7sNHnj6KQlbj3EKB7tAmoyvMVJJ7bsLLi+N6dAdW3Fiw2zGObBQAuLhUZKs5JghCLi2VeOdGg3JeR5FEzi8WSesKuirHIqkwDOmNHLIpFT+AkJBcRsX1ArJphQuLxWOvq94xWNsdQAgL09mH7i3uJMm6x8j0KE62rDCMCif6y9nfkZBwqtAU6UTx6trOgHdv1BmObWzHJ/BDJEmMChFh5Lo/VUpRLaRoDay4Cet5uMgIgsDy7MvdBBAEIXc2e/G+dmerx1uXp1/sRSV8bhEEgS9enGJ20njd6Br3J94JkShLcHwcwcewXERRwLI9sinlwJreiw32yGdUViZr0Q9CtpsjHDeaarHfLU3XZC4vlx95nY2uQWcQiUR6Q5veMIo/wjBEFEWCIHykMMD1/INnAufJzgSVvI5le3h+EAmwnnGvxkZ9yE5rDAKcmS3ETZaOGxyIj570/Txrtpuj+7ngvkU+rTJVTs5PLwpFlriyUsawXFp9Ey8I0SYOuuokDhibLs1e5B5ZmggsJFlkaSbLen0EIXg+3N3so2kS5mT69XZzTDGrkd3nXrv/fDFXzbDVHB24npN8bqfKacoFHT8IyOgK2bSK7fhUi6nHzoX7fsD1tS5j00VVRC4sFrm33T+wlr5waYp3bzTivMZejiMRcSQkPFueV43y03Jnsx8bUtzd6lPMagdior08KEAppyMKAuWCTm8UTRWybZ8ffbIbuf4X01xeKT2wv1QKKSqFFB/ebuEEIQFRk1tAiKpILNSyDMYOb1yoMTIcNnZH7LYMLi2XUBWJsemiazKaIiGKAvmsGt+LMykFZdIYsnLCc9NcNUs+q6JrEtOVNAICM+U0g3FUD3Xd4H4cFkZuyZ9WxJGQ8LIRhCFz1SydgYUgClQLUYwUhiG3N3us7QxodE3ma1lSmvzE9YdzC0W2myP8IOStK9OkdQXPD7ixFk0PmC2nGRoOZ+YLzNeiXOqee6+mSCBEk9WzKRVZEijkdJamc1SLKVz/MbtX9zE0HERBiBtYwzDk1kYvMriUIsOn/RMMDiNJIucWitza6OL5Ib4fsts2KGS1pBHzJac7sLg9yWHVSlH8vVcby6YUZioZXjlXPVCP22qOGJseV1fKbDVGZFJ+/HfuDiyCIGRoOBjW/b4aXZWZKUuUCzqW4zEyXCzbJwxD2n2L6XIa0/JY3Rlg2l5k7LRSfqzpGFEeQ8CfrIXiIz57x/UobTdHscFVu2+RzzxcDJmQkBDV8K6vdjBtD12TuLxc5vy++uFm436uIAhC3H0Td2VZ5NxCIZocrssPGEEYjocqR7lBeVKj2Ltf5dIqd7f65NP3J36cFFEUuLJSZrs1RhSFR/ZGFXNabPoiSQK3NnrUJ5M52j2Tn/vq8qlrlH8YluOxvjsEohzRva3+Iw00nxTplJwVTwutnklnYsY0GDlsN0enTlirKRKXlks0OgaqIjFXO30G1H3DQxTFSJhK1O88HjtkXlJDi+OYn8qwutPHC0IWp3Lkn6Gg61mx2x6TS6vxeabdtw4I7z5PPLdMTr1e58033zzye5qmMR6PH/s5/9E/+kf8tb/21/ilX/olfvd3f5df/dVf5bd/+7cP/Mzv/d7v8ZOf/ITf+Z3fQVEU/u2//bf8y3/5L/lX/+pfPcnbONX4QYhpe1iOR1qLpnDYrk95Ms6l0THYbY/jm30+q3JpqfTY6vVcWkUSBfwgRBAidW67bzFTySCKAtvNMZWizuJU/qHJREUSyaQUFqZzjCcBVyalkJ48ZmE6h3q9QWdoI8sC5xce7arxLKmVUskhMeGZEoYh263JJI5TGAi9CJZn8nSHTVZ3BomII+GZomkyYzOaFmU5HrIkTqa/CIQhCELUuNTsmlQKOgLsa8QG5yHNE0cl0y3bozeySWkynh/g+yGVgh43cbZ6JgDlyb89TdJ65LLRH9kYtktai5Ixe6JNTZEOOF2FYXjAAfhp3Cv3CqoJCS87siwdcMDNP6SgpshSXMRf3RmQSSm8eq7KYOSQ1mWunilj2B6CAM2eQatnYlgetucjiQKKIlPIaMxUMszXssc2OoVhyPpEwAGwWR8xXUofu1ekdYVM6v57OLdQiPevtC5/5qfhdAYWrhdEgppT6MKR8Nmi1TNZ3ekzMFwMy0dVRLIpFYSogToIQqrFFK+crWK7PumUQqWQQlVECtnTlXx8VoRheKBZ1A/CY8V1CQnPA12T49i5Ukhh2h6m5aFrCoEf0DM9RBE+udtG12TCMCqUXFgqMTQcFFlkqpxiaDoQRi53+92zJVE4ME3Xcjx6w+gccdKGnf3ii5DobLO/YfskJdiUJpNLqwyNT3cmmKlGztXw7OMQx/UjAQdACOv1QXzdKU0mm1biAvHLKozwg/ChXyc8f8IwpJLXEIhy6Nm0EgsW9kRDvh/QGdrUiilKBZ3zC0VSqkR/2CYEdFWKpl4dOlsc/vvuP18AVIspOgOLMIwatkv5k+0BV1bKURwcMokposc9bi682TPjM4XjBmw1xw/ckyFaT1uTJpJsWkmm/iUkJMT4wX3jmjCEIIT9mQ9NlQ6IJi4tl1iayXNzvUtvaNMd2ZHb5qRWWu8YLEzlOIq91/L8gKHpkktHMUdaV1iZK5DWFeqdqDHM9QLWd4dYjoczEVVcXCqRz6hcWCzR7EY/VzthI8LheO3SUimeulYuRE3hf/LhDo7rk8+pSJOzTEqTyT7CpTgh4TSiKRJT5XTcML7nyD8YO3QHNmldQRRMWj2TxZncidfaYRRZfMCYIgju5xBkWURVpKgZfSKeWpjK8eHtJgBTxRQz5QyaFk1T3KhHghDb8fH9AMNyJzWjk3N7oxcL6merGRanc/RHDr2hDURGHu/favLaueojz3fJ2eD0sV4fxp+/Ztdkupx+oDa2108D0dSaVs9kMBFav3KuwvXVDqIgoKsSl5ZKXFvtRLXMMMBxgrhX5+x8kVopRaNjYJgDilmV7tAmCEKyGYV7O3122wa5TCTqrneMA7mGR6EqEq+cqdAZWGiq9MT1vQc/x8ExP5mQkLBHvTOOJ21Y9oPrt1ZKxYKHQlY9YACTTSkMxg6eFzAcOw+cz+drWfqTe1JKl5kuR2KLkJBCViOtyxgT84nHNUJWFIlsWkEUhEcKMOaqWTRFwnZ8Snmd3/nD2/H32n0L2/GQU6e7PrInrAuC8IFpqMleeHr4rMRj+5vuTyPFrI6miFh2VNvQVAn9hFOGXyYEBGarWRzPp1LQsRyfbOp09TL4/sH967SuiafBc/sEVioVNjY2+NrXvvbA9+7du8fMzMxjPV+73eaTTz7hf/lf/hcAfv7nf55f//VfZ3Nzk4WFhQM/6zgOtm0jyzKj0eixX+u04vkBO63IbWu6kialStEYYD9AVUXOzhfuFxwFmC6l2W3fF9MMRg6G5T1yNNlh5qeyXFwu0RveH/90ba0DYRSYFbMar5yrUMhoD22UuLnRjZOtqhIVnfJZLXaVEQWBpdk8um6gSCL9kcNGfchcNfNcXEYTEp43nYGF7fiIohAnKRMezspcnvduNVnbGbzoS0n4jKMrEilVpmGY5NORO9pUKY2miGiqTH9k4/kh97b79EYWi9M55qeysaNuKac/+kUmWLbHR3fbBEHITntMRpfJZzSaPZOrZ8qcnS9QmbhR5Z+RWjyTipq6d9tG7IAXueA+eF8XhKhw2RvZiIKQuDslfK6QJZG3Lk9xe7OPIEQNUCdpFN77EVEQKOY0ChmNG+s9NuoDfC9guzXG8yOBlCKJtAcmpZzKTDlDMac9cu0LgkA4qQAJwr4XPAJRFLi8UmYwslFkkWxaZWQ4uF5wIDb/LLK+O2B3krzebY959Vz1oZMEExKeJa7n8/6tJoosMVtJsd0MJ+s3SpjWOyblnEYxp5HSJd64WMO0XHY7BsWchiQmZ2SInKNmq5m4MXthKpsIOBJeGvIZla+9Mothe8iiwH/9s7VYOOkHAVdWKkDUqPPjT3bjZouZSppXz1awHZ9cRj1Q2AyCkN32GMcLKGRU7m0P4vh9ZTZ/IvFBrZSi2TOxHR9t0njRnIjG56eyJ7o3CoLApeUS/bGC4vOeAAEAAElEQVSNLIlPXOSZqWTIppQj4xDfD9hpj/H9kOlyGv1TulALghAdb8J9X08QRYHLy2X6IxtZfvL386yZqWToDe1ocpomfW5drF4mVncGbDXG5Cbx+uJ0Lj6/7+XlJUmknNNYns1NGiZcPrjdojeyGBsefcPh6kp5MpU6JJtSKWTVR54BClmN185VMe0o3x8EIWs7A0RReGg+vZzX4z0mm1afWNh8+H6rKZGrfL1tgBDdkyFqAslnVDw/oJD5bJ83EhI+TwRByG5njOMGVIupJxIbLE7nYhO62Wrmgf1IEAQuLkbxhiSK8b44W80wNBwEAXRNIjO5b4sPOQcsTue4ud5jfXdASlcoZlVyGZW5aoZCVqPdNw/8/MBw4pghCEIaXSOaiCgKzFROPlXddn0+vtuOncpXZvOcWyhSLUbNcfmMyo21Lqoi4vsB08U0ZxeKuK7/RBMYowlQJqosxkZ8CQkvIxcWi/RH0Treqy/sxRayJLI0k0eWRF49W3lsocTDUCfxyk5rzGZ9RD6rcmezz7DsUi3otPoWX7g8RRhEja+FrMYn9zrYjs/5xQL5rEanb9HomrT6FlfPlE98fbbrxwIOx/X58HYLQYDMpMFsT0CmqxI35O4jz3dz1Swjo0sQhOTS6iMnISS8eA7fp466b+3104RhyNvDOrmUSrNn0h3alHM6//PXllEVibPzeUCMRdWSIFLIyizP5FEVKe4HqhR0Gl2DWilNIatxdr7A0HBYa4xp9yOByNJ0/mHlhGPRNfmRJpXdgUVvZJNNqUcKxmcqaXojG88LSOlycsZNSDgBh/eOw+t3vpbFsKKpt0szuQNn95HpMlfNYNoeiiI9MO3qp9+YQ1ckTMfj3FyBdt+IJ8Z1shZXzlQO1BZPShiGXJ+IziCaDLx/eshR7BeHTZXS7LTHEEIxr6Eqz685u94xMCyXcl5/qj0Rdzb7cVyQSSmU8xqdgT3Jp5xcVJfwYqkWUzR7Bpbto0zOYAkvhnJei2ovAtSKp7P/stE12W2N8cMQ1/X5wsXai76kx2a2mqE/cvD8KLbby5N/Hnlud6pvfetb/Pt//+/5mZ/5GarVaIyTIAgMh0N+67d+i29/+9uP9Xw7OztMTU0hy3L8XLOzs+zs7BwQcXznO9/hRz/6ET/90z9NJpNhenqa3/qt33ri9xGGIYZhPPHjnycf3W2zujMiDEOmyimmiilmKxqeFyDLIqZl8cpKgY3GCE0WOTeXZqMxwp6ocAUBXMfCCN2Hvo7nBaw3RrhewHQpRTGncWkhi+OmUBUJUfCYKihsNUcIgsDZuRyaFGBZ5rHP6fsBzfYw/tq2QREz2Pse0xlYuI5DPiWyXh/RH5oYpkW3P3rhUzkSEp4FW5NxqNPl9Gdq3N+zZL+jeULCs6Q/shkYDqosxqKML12dRpZERobDJ6sdpEnT9I31Lp4XktIkJFFAEsUD7piPfK2xE7vhjgyXMAzJZzTGpovt+OiP4ap7HFEBYIDjBkxX0g+MR93jzHyeu1t9wjAqbh7XzCEIjydUSUj4LLE0k2e6kkGAE48Yj4pqLmPLJaPL3NsZcGezR7Nr4vsBhZyOJEZNnIIAi9N5lqZzrMzmmX9EQ7IgCJydL3B3qw9EU6se1XwpiQKlffvA4yRbTzPdgR3/v+34mJb7uXnvCS8PfhCyUR/y0Z0WnYGFLInIsszr56vksypjy6M/ssllFAJCekOb62s9VuYKrNdHUbOUbRCG0XpPiGKWqXL6sfblhITnha7J6JqMaXvk0yot10QUBNL6/fuP7foHHNa6A5ulmfyRzUB3tnp8crcTGbooIuV8Ko7ZO0PrRCIORZZ47Vw04UdVojPM/FQ2cql6jDU0NBzqbQNJElAV6bEeu5/j7sV3tvqxI217YPHG+eqnMnlRZJHlmTzru1GT+9m5g7lG8VB89DKS0mRev1DDcSMBTtKY+eLpDCxURaJWTNMZmOiqhCJLXLvXYTB2YkGQokhUCym2W2O2myM260MQoJjTEMRoQoUkiuQyKmdm82iqdCJR4t4e4wchH99txlNADMvl0nL52MeldSXeY7pDi3rbQJZFlmdyx04APEytmKI/sumNbDK6wlwtgyJLTJfTiIJw4J78sgqjEhISnpyN+jCeXNHqmbx2vvrYscBMJUM5rxOE4bFTeo4yy0nv5UrDENuNhBX5tMp0OY3r+aztDvG8KAe699hKIcWFxahWubc/eX4Q51zLeZ1u3qYztEhpMrViKhaYAKhPKHgbjJxYwAH347W91/X8gMHYQRKjRjjL8UlrMuITiGIc1+faaifOM9uuf2C6ckLC82T/WpypRCY1+xEmRjf7yWeidVzvGmR0hQtLxacq4NhjeSZPPq0S+CHyZG3X22NaPTNeP9PlNNVJ89f+s9PazgBlciYJgihnc9JrlEUBURTwvICNxhBRENhujinmNKbKaW5t9JBEgVopTXdg0RlaXFkuszidOzLuz2dU3rxYw/OCE8eOCS+Wlbk8tzZ6+H4kgFyvDwnCkLlqJHr2/SA2RPX9kHbPopjTWZrJc3ezT35aRRAEUrpCIRtN/txvVKBr8gNnWkkSuXqmEn2GJ/XOu+/3MSyXkenguBL6kvRMmk77I5tbGz0gmjwSEj7g3J/WFd44X8XxguSMm5BwQqbLae5s9Wl0DCoF/QGz2NsbPYbjaC+5sdbl9fO1eG2psoQk3RdgHO4DKOV0fvatRXw/6kF853oj/t5g5EAYPlHuzPECWj2Tdj/Kizqe/0gRx36+eHmKm2td/CDk3ELxic0oHpft1ojNetTT1eyZvHKm8tim2cfRHVrx/49Nl/OLNRamQiRJOHFeJuHFo8gir549mGdPeP54fkAYCmiTvILr+wemBZ8WekOT3c4YPwjx/QDXP31vIq0rvHEhie3gOYo4fuVXfoXvf//7/MIv/AJf/epXEQSBf/kv/yW3bt1ClmV++Zd/+bGf8/DhMjxiRX388cfcvXuX73//+2SzWf7Fv/gX/Pqv/zq/+Zu/+UTvw3Vdrl279kSPfda0Bi69sY8iCcyWFf7sxgjXi34nG1twZVGnP943bthUcf2QzjBy+BPsBoIArY6D50O1oHDnduuB11lv2qw1bGQJriymGVsBA9ODEK6LAivT2pEJSh0wnYA/+LNVAhdmqypZXUYSwQ9Alg7+PXd3rfj6JTFEdhsHntdyA/70kwHtoc/I8illRHZ2FSp5BXd4dBHa80Mk8cHPTkLCaWC7GTnyzT/CpSLhPnujj+9tDwjDMFn7Cc8Mx/Fo9kx6A5O0ruBfnIoLkbm0iq5IuF5AZ2BhWB5DI0qGXFgsHpu8CIKQIAwPiLY8L2C/kba2r/lJlkWUJ2iEGhkO339vi5Hpsjyd46uvzrK604+bl4emw+XlMtmJU6fjebxzo8l2Y0whp/LNNxceGNv5ecLxAgLPZ7M5jppuMgpn54vJoTvhAA9rTDAsjz94Z41m1+bcQoFvvDZLEERr3bI81ncGrO5EoqreyML1A8a2R6Wg4/kBiiwTmi677RGz1cwj73VhGLmtfenK9NN+m4/EsBy+/+42g5HDwnSWb7w+99yv4XFI6XLsLCSKApqaJEITnj+f3GvzzvUGza5BLqOSSysUchrffHMOTRH5f//uTboDi5HhkNJVwhCCIOD/9V+usdseo2syX7oyQ0hIb2ATErI8kz8Qf3h+wJ3NHmPTo5TXWJnNf+bj5idtHj/NWI6HLIpx00nCy4PvByAISKJAEARYToCmiKiKFLnjiQILUznKeR3T9pgqpw80DKUOxeLv3mhwc71DSlMwLJftVpTI11QJXY0mCMqySEqT4zOHJAqs7gzoDmzSKZlz8wcLnKIoxJM/4HgB1O3NLu/fbCKIIl99ZSbOX7hewK2NXnzNjtvjlbOVp/lrjCYNT/C8ANv1ST+BiCMMQzw/RJFFpsvpE01CdVyf25s9LMenWoiaZp41fhBCGD5SqCId+tslvFjSmsJOe0x3aKLIIroq0xtYSJKILAms7/apd0xKeT12jgdw/YBOz6QuROsppclMldLMVjMnmjrj+QGiIMSFMMf1YwEHwNB4uInT/Z9zuH6vE3/ugiDk4lLpRI8VRSH+2b11BhzbiH1jtcsHd5oossjXX5s7dVOJN+pDmr1IqHNuofi5jD0SEvazt59BtHcYlvtE6+JJRNgbjRGdftT0JIpilI+diDVurXXiBtih4fD6hRraJI+b1kQEwkmORiQ92W8Ny+WdGw12WmOqxRRXVqK86Z99uMO7t5roqsRf/KmzvHujwa3NHmlN5qffmKN4AoMbVREJCREm047Th/Z4SRSQJQHbC5AEYdKIHd0b9sdu++PL4zBtj2bPoDeMJqVJopCIOBIeieN4IIpPLFQ6jjtb/SPX4h63N7u8e6OJJB08ZyzP5uM6YBhGk9CPO9PsJwhC/CA88P16x+BPPtzG9QJeP1fj0kopWktALqOiaVIsshJFIT7bNLsG6/UBI9NhppShmFfj+Duty4RhSBBEcfvjiEwkKdqvrq91kCWRmUksNDJdvrhUolpM8QfvbHBro0t/ZHN2rkC9YyCKAovTRztyy5KI5wXRtBDXZ6acfuRkhIQXRy6t8sVLUwB8dKeFYUVGrCOjy2vnq8iigCQJcd1QVUQkQcALAoZjmx9+sIMowqXlEmfnCtzb7jM2I+OopdncA3v+2HS5u9XH8wOmymnmJrWGVt/EtD2yKRXDdLmx1uX2eo/zSwWCIOq7OTNXeORkwEex57i//+uubLG2M0BAYGUuTyGrIUkiqVNgdmlYHroqIibTkRNeMO2BFU3CLKWQZZHdtsHQcLAcn1oxRaNrsNMaE4QhtWIKx/ORJTGepHd3q0d/7LAym+e18w/m8hRZjO+nmirFU4U1ReKP3t/iJ9capDSJv/Sz55mtnuyeIwoC9ckUPwDhiGW0l1eQJQHHC7i53sW0PWYrGRYn/Q5PC8eJ9l/1mPzFHvtzk4TRPva0RBwpTY7vA4osokgiovLZruF8VjmcZz+NbLdGbDdHaIrMhcXip56I/byRRHA8n+HYQgDyGeVUigfWd4fc2+7jByFDw8Ge7FWnjdMS2z1rntsqqlar/Mf/+B/51//6X/OHf/iHSJLE9evX+fa3v82v/MqvUCwWH+v5Zmdn2d3dxfM8ZDk6AO/u7jI7e/BG/L3vfY+vfvWr5PPRAf4v/aW/xN/+23/7id+HoiicP3/+iR//rBgZLsZ6j/TkrJXJqszP9eIgQZFFvvbFJfqGw9h0KWRUMimFj+92KKk+kiSg53RmKikCbUAQwFQpxeJ09tDrOHywvU6hGP17x1GYqqTo7gwJghBFl6nN1pgupY4sIv7OD+7y7j0Dzw/INT2++UaNseFRzmlIKYWLi4W4WfXsOZ+dtkG9bXBvZ8D1usCZuTxfuRodVreaI7KbW6C4GI0hgaSQyeUplNJcubKA5fh4XhAnSG5t9nFMD1URubhYTJqwEp6IFyni2pvEMVdNRqqdlKXpHKIQJX07A+vAGMWEhKfJZnNMo2vgeQGWG3B3tx9/TxQFLq+U2W6OsByPfOa+Y5Tl+Ec9HUPD4eZ6F98PKRd0zi8UWdsZ8MMPt/H9kGpR5/xCialymiAICMJob3gS4cCPr9XjQuatjR5ztWx8XWEYstkY0eqa+EEkQukNbUzbY2EqR7Nr8t7NxgON2HvJ1qeVmHgajAwHURSeqhvXtdU2b19vMBw7lPM6Z+YKdAc29dSYuRMmohIS/uDtNX73T9Zw/ZAPbzcZjR0GhsP67hDfD6PG65HN2HQRiAr05ZxOtZBCFkV+fKOO4/ioishcNRc52U4+65bjRY0HuoIkChhWVGRxvYB8VuXiYum5JiXeud6k1Ysm693d6jNTyXB2/uVtEDg7X2CrMcL1A2bK6cTNJuG5MzYd/rfv36E3cnA9nyk/zZm5AvO1LNVCmv/Hf/qQmxtdRqaLpoqoioimalxf63Bvq48iSWTTCu9cr/PGhRr5jIauStzZ6vPFrBav/63miP6kWaLZNcmmVGqlJG7+LPH7b2+w1RghyyLf+sL8iQtmCc+endaYjYnDfrWY4r2bTQzTJZ9WcHyfVs9CFAVmymm+8spM/LhyTuWT1Q4ZXTlwL613DH7w3ham7SEKwmRST9RIYVkum40RnYFFJqVQLaZ450aDIAjRVSk+AwxGDlvN0WNNC4SooPlnH+1OXKt8/viDbf7ady8CkbPuXpMTEBd0j2MvhsnoJy+g5LNqfK7RFCl20nqs9zBxpLYdn7Quc3mlfKJJqOv1YZyD3W0b5DPaA07BT5NG14gmjk4mIs4meaJTw9n5Au/datDqRm7J795oUC2kOLdYZDB2uLfVpzwRa//+T9b54uVp7m71qbfHOK5PLq2Sy2i0+xZj06Wc15mpZB7qKnlvu0+zayKKAiuzeVQlEnTtb64oZFUc18dyfDK6fGRe/+Z6lz96f5tm12BpOs+5hQLWExQH+yOLD++0kUSBcl7nwhFnkpHh8OPruxBG+8Uff7DNL/3sy1eTOY7+yGanFZnxjLyAjd3hY7mGJiR8FilktbjpSJIEMs/ALf849vaqkeGw3R4zMhwuTdzqbSeacGY7kRPq2HS5ud6lP7D46F4bUYimKP/UG3OszOZxXJ/3bzW5tzVAEGCrMSKtK6zM5bi50UOWBLaaI/7d9z6gWohyhY7j82cf7/LzX1s58tr2Yp7NxpDdtoFpRfnjqXLqgfziVnOEYXm0B1b8/B/camG7PpmUwuXlEvWOwWZjhCDAmbkC1eLRZ7swjIT+kWunz8h0jvy5hIQ93r3R4OO7bQQBvnx15sRCzpOw/3wQhuBOJslBtE72nzN++ME2f/nbFxhbLookxk1jnYFFsxvlHffONPO1LKbtkdLkOF4am+5kWnpAMadxYbGIIAj88QfbGJO6xo+v76IoIpuNaMLOpeUyl5fL7LTHyJJIrZji+lqH3tDm9mYPQYA/+2gXRRaZrWb4q9+9wEwlSzGn8ck9l8HYoVZMk0sfv/cZlksQhGRSSmysMTJdwgCCMMR2fTRVpjA537meT1qVUSQJTZHZk+fuGdIcx+ruIK7fbDZGFLLaS1XHSTia/X/X7sDiTz/cod41SKkSkiAAAtViiu7QolZI0RvZBGHIyHQZjCOxXi6t8u6NOtvNMaW8jvZdmUtLJSzbw/UD7m31Gdse240RH99tc3GpyGvnqtRKaUTRxPMDNhtDBElABP7bn/b56TfmEEWR25u9WHDypOQy6oFJIdmUyp3NfpxL2HuNl914xvMCfu8n6zS7Jpoq8Z0vLSb9CQkvlP7I5s8+2sGY3A+vmC6FSa/CTmtMo2PEJg+dgcVmfchWc0R3YCMIsN0eY5oeAnBvKsfVh5iyXFouxca0QRDwW//lHmPLRZyIjv/uX//iia45DENmq1k6fRNBFKgdimddL+Cjuy36Q5tCViMMQz6+28b1AjbrQ3Jp5UQC6pPw8d02796MJoy8caHGa+eqx/5sPqPGU4IFIZqi+rS4uFRiqxlNXp+tZk5lw3nCZ4Ox6fLjj3cZGi6iKOC4Pm+9AOPIT4PvR5P1LDeKMept4wVf0ZNxa7OHYXqERHWhenec1P5OMc9VClWtVvkn/+SfPJXnqlQqXL16lf/0n/4Tv/RLv8R//a//lfn5eRYWFg783OLiIn/0R3/E3/ybfxNFUfj93/99Lly48MSvKwgC6fTL5/pk+xaadr84KCsKX7o6x831LkEQsjido1zKUSnfv5H3Rza7XYfu0EISBNQVjWbfQ1Gi5+kbAYuicqDZ0XQFFDn6OghD2gOHIBQRRIkw8NlqWUw1LMYWXD1bjhud/CCk07f44FYXEPA8aPZs6j0bQoF8ViIIJUY2zFWj3286DaVijpubt1HVKCGx2TR51YFqMY0ku+QyOrqm0h05kXsgAqm0hukK3NkeQxg1kJbyGl4goWkStuPy7u0u5+aLsTtHQsJpYK/4l4g4To6qSMxPZdmoj1jdGSRJkoRnRqtnQBjlFgWEuBFyj5Qmc26hSLWY4uZ6lzCMCpalYxp7NurD2NWp07foF23evdmI/63Vs/jSFZVyXufudh/fA/kJm4tdz9/3/wHXVttU8tFaGY4dthsjCjmNW+td8hkNWRLoDGzKeZ20rjxQFFjbGVDvRAed6Uqa5RO40PZHNrbjU8xpT+So9yhub/ToDKKGroWp7FNzl3rvZhNCCEJY3RkwP5VBleX475SQcBI+uN2ejLeMxBq///YGhZxGb+ggCqDKAkPDmTjnQkaXmatlWZzO8va1BgLR/U6WBH50bRdZFhmZDpbtIUsixZxOSpe5ulJmqzmKk7GDUXQOeJ73Rsc7uF/Y7svtCCFL4pHnhbWdAYbtsjyTI61/OoexhISH8cm9Dn4QIgiRMYNle1QLKVZmcmw3R2w1hvSGFrbrY9gCU6UUg5HDcOzg+wABluPT6VtstyKhRkqTWZjKTiaZRvmB/Y3VAH4QPHAtCaeXreaIrUZkCOB5Ae/ebCaJ3JcE3w8iAQdACH/03hYCUe6x0bPojyymy9H5f68ZCaIi6J98tBv/mySJXD0TFVDbE4dMiPJ2kiRQzGkEfojr++y2x4iiSH/s8N9/tMZblyNhyE7bIKPLcSzu+Qf3AcNyGRmRe9xxDT5eEBwYO+7uOyekNJlsWomFDg8TinUGFrc3exBGzrVXzlROJFY/O1cgm1Lwg8g5cP9jPM/j++9t43kBP/XmApljJgnutMdxA5lheey2x2iKjChCOa8f2yziH/p9Pct9NAxD1iYCDojOjlPHmOkkvHwIQpQnFyUBw/IIggDPD/joTpuFqSyyLDI2XQzLQxTgxlqHjC6Tz2iIIsiiiOMFZFIKKU3GcqJ1fZzb8sh0473CMF3+4J1NlqZzqIrI2bk86/VI4FcrpvngdotgMrXn6pnKA8KQt6/XkSUBWRZZrw9YnMrEr+s4Ph/caRIE8OaFGuox5kmG5fKH724xGDlIkkAQQK1kI8sim/UhhazGfC0b7UH79pPDe9LLzuHr9ZLYKiGBxekcuipjux6VQuqZ5P+Oo1ZMMRg7NLoGshg54e+0xtSKKQpZlU/utfH9kJQuUy3qmJbHWmNIf+SQTaukdYmh4WDYHjfWulxf67DVGDNTSaOrMq7r47g+QRjSGzl4fkgYhph2JLaYLqUPTD/ao903+fB2C8cLKOVUfJ/YlEMUYWHq4N5uuz7bzTGSJGC7Puv1Id2hTVqXyaZU7m33afUNREQ0VcL3A/7kg20uLpU5s1B4YHKCIERu/UPDQZZEysdMi05IgCg2/vhuG4hEFm9frz9VEUetmGJzcm5N6/KB3gTPO3jOcNzIbXswdkCAldk8uiZzfbXDYOzEuc6x6fLh7RaeHyBLIlfPlNE1mc3GEG+yJrcmgqeV2Xx8/w7CkG7f4r/88B65tIooCgwMh1/4+hnOLxTj67h6psK7N+romky7bzEyXVKqhGF5/OC9bf7qdy+y2zbIplSyqSh/2OyZzFQerPHG4n6glNe4sFjC9Xy2GqNoskYtx9B0WJrJMVWK+iiCICSbVjk7L7G+O9wrTlF9RK73cO1i732HYUhnYBGG0dknaQ59uagWU3GD4ch00Twfx4n+y2dUJEkgrSm0TJNrqx0QBEZjB02VSOsKg7HDTmvMve0Bnh8ShBb/+Qd36bw+S2dgUSumo/OvKsU5Bdvxub7WxbRdNEWmUlD45F6HTt/C8XzGpovt+qQ08YHc4pOQS6tcWSnTH9lkUgr5tMq97fvP6wchYRidqV5m7k5E9BD9Dj+41eLbX1p8wVeV8Hmm2TPojWwsx8Nxfdp9KxZxAJQLOq4bGUamVJF3bzaxHZ/uwMK0XLojGz+I1uDd7f4DIo7e0MbxfEo5HVWWKGSjaeG31juMrSgPGIT3DWtPgqpIlPJ6ZEhByHTpYI/m+u6A65PayU5rzMh06A5twjC6nlbffCoijiiX3ojzE+/fanJluXzspOs9kw3T9ijl9KdqLKkqUjI1L+GloDey44m+QRCy3R7z1gu+pselP7Qwnftn9LHlMR6b5HIvXz/4w3Bcn4AwEn0HIb1+Ysxwmjld82wO8Wu/9mv8g3/wD/gP/+E/kMlk+Gf/7J8B8Ku/+qt85zvf4bvf/S5/42/8De7cucMv/uIvoigKU1NT/Nqv/doLvvKnTyGjkUurUYOXKDBXjdwdynkdPwgpZrUHCo1BENDsGYwMF88PMByPmXKG2Uo6dqs7/JhKIcX8VJatxoiN3SGZlMKWNUKWBCrFFFVJQhKjBGK7b5FLqzR7Bpv1EYosEoQTpwABFFlAlSUcN2DvVQQePHWFYdRE6ochWf2++8TCdI5STqPRNREFgVwuCgZFhKjZfRJIjc37Y5kdz+ft6w1kWWK7OaY7tHjz4qdzBUhIeF7EkziS0baPxcpsgY36iLWdAW9dPl0K4ITTQ6WQIgyjBGIQhhSyUVK+M7AYjh3yGZVSXqeQ1ZipZOgMLOaqmWNHCx6+HwqCcOS//fCDnciBlWik+J//xsqJR/Natke9a1Arpmn1LBzXZ7s5QhSh0TE5O1+gXNDRdZnB2MF2A0zbZWk6T2dgIQhR88ar+5I1fhDGAg6IVOuLU7mHJvwbHSN+D3JT5LVzlafqdm/ZXizggKgx62nvoxldwbI9RKKRsYl7ecJJGRkOaV0hCEJ8P8D1A7wgwHEDfD9gaHtoiogkiuTSCoWMhuV6uJ7HYOxQyKnoXYmoJyiMn/PtGw36Q5t8Jip8TFcy9MfOC3epeuVslUbXxPMCchmVc6cw4bjnOghw7W6HX/jpM+hP4PSdkHASVEWaNA1DZ2AThNF9LAhD8mkFUZaw3QDbCUCA7YZBLqOS1hV0zcFxfUzbJZ9R2GkZ1IrRPlHIageafafLaboDG88P0DXp1AqffT9gt2Pg+wFT5XSyNiccDsOOyrskvDiiaXeRQ1sYhoiiSDBp+gvDEM8LkGWRavF+4bHZsw6IOj6518YPQsamS6mgUciq9EeRGPRLV6YpZDVcL2A0trm+1o0eFBK7YUM0MlyVJfwgEn7M7mssGpsu11Y7UVOGAJeWShSyD4rR07rKufkCd7aiqYSv7nOmEwSBy8tleiMbSRSOfPweu+37OT3D8hiMbEonaCoUReHIhiiA//vvfByfOd6/3eL/9tffRJYf3CP2r44wDLm71Y/3kn7RIZtWMC2PYk478B5mq1mGRjd2zn1abn9HIQgCgiBMxHiHLjrhpUeWRCp5nU7fwnY90ppMtZTCdnwuLBYRRYE7mz08P+DMbIEwAE8IOTOXp9WLpmmkEAgJqUzWxVHn7SAI2e2Mo7O846GpMr2RzciImpjTWnTO3/t819tjUlrUXLDXrDFVjgqX7b7JyHCxHQ9ZkqgVo+u9dKZMrRj9zP/n927Gectrq23+L3/hlSPff6Nrxg1evh8yGNuMDYc/+XA3Fnx/+coMl1ZKLM3kooZEgQN5h9NAMaeTSRmMzciVcPaYvSkh4fPGi8qXVQqpSEBi+0iScH/KlgCKLDFbyeAHIRldoTdyGBkO7Z5Jb2gRhiFBGNAb2uxMpni4XoDjRYKKS8slzi0UqJXSnJ0rRHu1AHNTGbyoFIogwCuH9rF23+QP39mkPbBIqTL1zpiZciaOLwSEeP/dyyvv7faG5eE4PrIkxo1q9Y7B+u6QXFrFdX3eujrNrfUurZ5Ff+xwa7PLLxzKG+czKtVSJKgRhAdFIwkJ+xFFDjjkf9ocYxiGNLomluNRyevM1bJk0yqeH1DIqAfim0ioUODu5JxxbqEQCTiIrufeVp+1nSGW69HsmpyZzbM8l0eWBMYTgYLnBzR7JovTufjaOwOLVs8kJDpLXVoq8sMPdtlsDCYNmD4pVeb8YpH+0Ma0Xdp9C1kSma5kSGkyF5bKbDXHdPsWgkAsZJUmryEAg7E9mXZ2fCPnnokfQHdgY9lelLeZ/M73RLf7zzv3441o6s5cLUO1mDqyYbTRjab8lPI6c9UMtzd7hGE0zTA/mexxZ7Mf11GaXZMrZ8qP8ydNeMYsz+QpZrXY7GVv2jXcX49bzRHbrRGyJKKrEqYsIgoic9UsfhCy2xphWC6qKiMKIfe2ozXl+QFzVRtFFuKpTLm0iu36fPjhNvlJTeJLl6dZmcmxujOgM7BRJJFb610uLpe5sHgyUdfeOcX1AmpHfF5zaZVc+r5p0mw1E6+P+Vr2VIiLHrjEl/+SEz7jmJbPwHDwvRDHC9BVCVEU4hzWbC3Nh7fbhEFINqOxOZmkkU0rdIZm1A8ggqZKiOL9HEE0ac+NRZg7yhhRhPV69HVWl8illcitX4CVR9QD/SCk3h7j+gG1os7aTp9230QQYK0+5Ow+IWV3GE2T23tcJD6LbpqCCOKhOMWyvUjQPbmHn8QsZo994c+JlvNpra0kJJyUfFpBkQSak7j4/MLpq/UfXsun1Z5VEsHzoqsX/YCpcmLMcJp5phXtf/Nv/s2Jf1YQBP7O3/k7j/X8Z8+e5bd/+7cf+Pd/+k//afz/qqryG7/xG4/1vKcRURS4vFLCtD1sJwpAWj2ThenskY0LjY7Bna0ehCG1os6drQGO65PRZFo9ky9dnWauGiUgDvPttxZp9wz+v394B1WVcbxIsJFSJdSMjK7JdIeRAn9kuGRTCqs7A4o5jS9fmeadGw0yKZn5qRzztRxbzSHdYbS5Tx2RxJ2ppLm71cf3A6rFVJzEVGWRn//aCo2uyX/54V16Exdv0/YecAqbqaTxg4BbGz2CEHIT18C13WEi4kg4FfhBGDUyECUpEk7O8myOH7wH9yYNGwkJz4KpUppcRmVsuaQUmZlyms7A4s8+2pmM61b42mszkevK7Ra2E7m6fuP1uQMJyT2WZnLcXO/i+gFTpTT5jMqXrk7zx+9t4/g+l5ZKVAopNibjvCFKWAzGzokahnw/4JPVTuw49fr5KkEQIgrExbxmz+Trr85EY8Qtj2xKQVFEZEXkF795hrPzRbJp9UCcIQrRhJE9NydJEhCEyBlouzlCFIQHYpN2/77AwvOCA25ZTwNJEhEEYreuwzHCp+HLV6f58Sd1BAF+/uvLnJ0roCnSS+eCG7ksjZAkceK6+vzcDhOOx7I9rq12uLxcZrM+pD0wqRZ0Cumo0VJVJBRZjAr1AgwNJ3JclAXu+v3ImepMhSAIaXQMSnmNV1bK7HZNDMvFcnwkyaXeMZieuL8s1LKRQ5bjU87rj+2yuN0cMTAccmn1ieKR6XKa/9O3zjEyHIpZ/Vi3mpeZ9fr9fdewo+Lwcc7HCQmfliuT8eMf3m4gEKIrEp/cbeO4HoWshm25BGFISIgkCHhhiK5JkYtqQcc2XXRdZb6WwZs4a5+Zyz8wYSatK7x+oYrj+miq/FhFjJeJO1v9eFx5Z2Dx2vnaqX0vT5PpcoZsRmFtZ0Aho/GlK0kO5GVBFAUcz6c3tACB5Zkc/bHL2s4AVRGZqxZZrw9Zmsny6tn7gghdlQ5UEJtdE8tuAiBtC3z91RmafZuMLvP6+RqqIuJ6AbbjstEYsdMxSKkyX399Pordg5ClmTyzlQyW46EqEp4fcHujRzAJomNXzTBaX3u5uTAM2W6NGRqRcP3rr89x5UwZURLJHzrniKJwothDPhRL74/fXS+aXuJ4PjPlDMVjJhseZm33fj6g2TVp9S1mKg/GMrPVLIOxg2F56Jp8wPH39maP4uR917sGV89UyE7yi/mMyhsXariej67Kz7yx5MxcnnvbA8IwZHkm/9KdPxKOx/UDygWdcD2klNVxPZ9m1+Dbby0iyRIXFosokoBh+WiqRABkNJlKIcXKXJ6VmTyuH7C6M8CyfTIphenygy5xa7uDWOw1slxkWcJ2/MiVbWjT6plk0yqSIDC2XEzbZbaapVpMIQpCvO5aPZPbGz1afRPXCzEsh0JW5Ruvz8UCDsfxDzhq7rYNRqYTO07vR5FFqoVIBOJ6Ua5/bHkHJvat1ftcWinxM19YoDuwUGSR7BF5k5cZSRS4slLGcjwUWXqqeYiEhNNKGIZsNkaMLZfixOTmeZJJRWee25s9/CBkoRblJxUpmswRhiHNiViu3hoztjwsx8fumkwhkNIlml2DG+tddttjUprMleUir52vxVPu/vJ3LvDmxSr/vx9vYLs+M5U033lriWxaPjDFs9UzubvVp9Ex6I8dKgUdXZWpFHU8P0QSBfJZlTubUXNtvWNwYalIKaezOJ3j5kYXURAi4boiMTAdNpsjNDVqlBtbAoOxQ2dgxbFS74i8sSAIXFoqxTXVp2mqk/DysNse0xvZZHSFhansE4svdFXmCxeneO9mA1EU+OorM5/quraaI7YnTaKNjsGr56qxmOAovvH6HFcn5wxVEvngTis+D/VGkQO4KAjUSikUReSNCzWaXfPAxPS9+/FcLcu97T53t3qUcjoZXcFxAyRJ4JUzZVq9MboqIwkiI8vF9XwWp3PcWO/GTVJjy+XCYolqQefNCzWqBR35uoDjheQzKj/z1kL8mp2hHU1MmORcjiZyEg+CkEpRR5Iis6il6Rwb9SGCIHBm7n4upzOwaHQNdFVicTpLSlPi93fgjJZWEQQhnvLR6Bq8crbCmxdruF5ASpNjgXhneL9OMzQcXM9P9oWXjNhIYKFIEISYtk82pTBdSeP5AdfudUhrUR0vl1a5eqZMGIT0xs7E9CFFPmNguz6eHzJdSUfTnZyQa/faTFXSzFYzTJVTpFSZj+62sGwfWXSxXJ/rax3OzBVxvADT8hBFAdPxKeY0Zqsnu6+v7gxiAUqrZ/L6+dpDY+XF6Ry1YgoETo1Zy9n5Auv1IdvNMemUwhcvPd08nOcHrO9GeZHpcprSMzSRSDi9tPsmzZ6JpkhoikRaUzDxSGky5YJ2IId1c6NLIaNNcoAilYJOu2+hqTJffXWO/tBibLqkNIVyLnUgRvV8n1bPwvMD8hmVndYYQRBwXJ9V1+crV6fZaRnkcwo//9UzD73me1v3xYRbjSHtnhX3K24fmuIxU0mzutPHsqPcyavnquy0xjhuVPus7Zvc4fsB11Y78WS8vXv4SZBlkS9fneHHn+wC8OWrMw/UNT+83WS7Naac13nr8tSJzTYTPr88rfj8RaGpMtmMimH7qIpI/iFmTS8rqiYjCtGUIIjEEJp2+t6HKIoIQEBUU7Ec/1EPSXiJOdUijoSDCIKApkhcW+3EzZOW4x1wvgPoj2xWdwY4jo+iRM6dEB38NFVGU+HVM2XWdof8+OMdZqrZBxqTKsU06bTCViNKsEyX0/z5r51hqzVmuzXC8yIH4VbPxA+jxIdpeyzP5rlypsyVlRKSJLHd2pvQESIKAr2R/UDjZkqT+eab8wRBgCiKWLZHNq3i+5EbYTYtM/GzwfF87m3344OirklRw0Ja5dJymVoxRX9kx0XYYvZ0FYASPr80uwaeH0bFzmKi3n4czsxGyt/V7UTEkfDsEATIpFQkUURTREKiyRh7AgXD8ljfHWJYLt3B/X/bao64vPygo1EmpfCFS1ORsGLSADRfy/LXfu5ifD+EyJVmL6GhKzLpSTIjCEL8IGRtZ8DQcChkNVZm8/FzWY5Pq2fS6ZtIksjCVJarZyp8eKcV3yOjEcwi5xdK9Ec2mho1lFw9Uz42ASEIAhcWS9zbiRI4Z2YLBEHIjbX7sYnpeLy2LzZJ6TJDY1JMEThSQPppUGSR8wtFNiejx/cXOz4t5xdKnJ04h7ysSRnXi8bL7zXeOa7P1TOny8X0s8rYcgnDKOn++oUa11fbBEEkDLBcnwuLBfLpaJqe4/k0OwZ+4KMgY9k+ja7JfC3HX/3uRVKqjKpKdIcWvfe2cByfYk7FdHwEERams7Fg7I0LtQN7y1H4foAoCgcSR42uETvqDEYOiiTG7ryPg67Kp6bgchT5jMpw4vYnCJBLP71xyAkJh1FVmT//jRWEMOReZsBg7OAFAfd2BtQKKVKaTCalxK4xihxN7rm4VEKVRZo9i87ApFzQ6I9cSjkNBIEbax2qhRQL+875siQ+0Dh9FCPT5d52n8APWZjOvlTOUnE8AThugO14T3Vk+WllszFkrpJlppRGFMWHNI0kPG88PyClKpyfOMkJgsC3vrjI29cauL7Px3c7+H6Aafus14fxfbeQ1fjy5RmurbXRFJmUJmFYXtTD5INp+5TzWtR4JAlIokAoSwRByLmFEqW8RkpTmKtmOb9QJAzD+J6/t2aurXYwJ5M6DNuNBF77fmYvtmz2TLb2xQeqLMU5C88PuLvVj5pF8jrLM7kTFaVWZvPcDfvYTtSQsL95+972fbHWcOzw+oVaPH33YeQzatzApakSxczRTQ6KLPLquUjgHgLv32ziuP5EFL5P0RFG08/2RBx7j31ejdqVQioWxJy2Qt/nnY9ut7i10ZsIGHSyKRVNkwhDqBY0yvkUkijS7psMxg4pTeLPfWUZSRTi+F31A147V8XzApRjPv+xOzVQyae4tFyiUtC5dq+D5Xhk0jLNroUoRMYKGV3B8wNGhsOl5XI8/WZoOLT6Jr2hTUqTmZ/S+enXZ8ln768hVZXIpBXGhgtAWpdJTVyowzAkCEIkSWSrOWK3PcZyPM4tFCkXdJanc9S7BvspZO4XTfdP4bFsjztbfVzPZ6aSee4N4I+LKApJHJJw6nAcD1kWn0mOa6c9jp20ByMnnjr4vAjDkGxK4a3L0wdin3Jeo9mT+dEnu1iWT7mgE4QhtWKKWjGFYbnMVLKoskyra9AbRg75QQBj06fZMxmMXcoFHcLIOG6mkmGqpKPIMoosHhBwwP1zy1Q5jeX6hCFMlVJcWamgqxKCILB2yJBqZLiUcjpT5TTT5RS7HYNm10RXJb78yjSqLMYN8bm0wjdemyUMQrqTuEmVpThvvB9BSPaqzwrbrRGNjoGqSJydL6CrMu2+GU21Ilp3siSeuNH6KF45W+HKSump7BGjSdwAkfmSYbmPrAvsFyGtzObZbY/pDx0EBJp9k1JWQ5ZEaqV05LRdTmM50TTjfEaNp5g1uwalnM58LcvQiJrT05qM4/romkwhp2NaHrVSmoLn8ebFGnO1LGs70e+yO7RY3RlgOz7nFopcWCpxbqHIt7+0hOP4qKqEP5kAMjAcVmbycR+EaU1yM0fgeNF+sDdpAWCmkmG6nD4Q8xuWy+3N3gHL4HML95+z0Y3OaH4QMBg5hITxRM4wjH73U+X0AYGGIAikVHniZH4/v5TwYgiCAC+IDE2PopBR+cpESBWG0UfhzmYPPwiwXQ/HFSgXNC4tl6kUUnxyr812c4RhebxytkpaF6mVMmw3R9FnYuzghyEpTcZxfEQhOkPPVjNcu9fh3m6fQkZDJE0wuYeGYZTnNywvzpWfhP25O98PJ0LCh/fr6E+5ZvisEUWR73xpKZ6s+rS5t92nO7ifF3ntXJVG14hMd3WZc/PFRET+Ocew3GhK7uQ+4foBFxaLcX9BrZhGlgREIZrIMRw78WcmCEKWZnKTtSnxpctTcU9BJHwOuLbaxbJ90npk+GzZ/uR1PfyJYWR7MqFq/mKNi0tlXr9Qi6/P9wMkKTKcubvVw7A8ygX9wP4gICBKQvwe9nKDe7XLuWqWty5P0x/ZFLIac9UMqzsDDNtjupw+YKBpu34s4AAY7otBTsLFpVI8aeBwDHR3q8/7t1pAZBqjyOKpNZE2TQdVlZCkRMD5LOkMrAPxuSRFn+fThGl7yKKIrkkokhTHj6cJVRHIZVQGk3pBPq0+c1OmZ4Hl+OxtS34Q4riJiOM080wj3uvXrz/Lp084AtcP4iZJ4EiV1chweedGnf7IQRTg8koZXbvvtpnLqLx/u8WffLiN64WUcjp/5bvnKecPNmfM17IYpksQwsJUllCImtHGpovt+tFhThTwvcjVxvF8cmmFswvF+MbvTAQkoiDg+pGbXkqTDiQ18xltMi4+KobKssgHt5p0hzaFrMrybIFsSkFTJXba43j0mygKvHKmcsCNrlxI8TNfWODGWpeMLvPW5dMZQCV8/thLwM9WM6cyeHiRrEychjcbQ1wvSBIXCc8ESYycZnVVYmg4fP/tLfSUTEaXWZ6JDvayJKIcao6UH5EIP2q9i6KI4wV0+iYXl4r84dubuEHIFy9Ooaoyja7B2s6AVt9CEgSKOW2SXJHjJgdBiFw49txy+uNI6HH4HhmEUCulqBSiAkc5rz+ySGPZHvYk/oicfMUDsYl9KDZZnM4hClHMctT45KdBKa8faP54mjxu0cpxI9etlK48F3dw1/PvOydDnExLePFkdAVRFOLkoSxLWLaH6wVoikSnbzM2PDJphZERFVJGpocXREW/neYI1wtwPZ/XztdQVYlSTucrV2fwvJBWzySTkvnK1ekHEkAPiyXubfdpdk1kSeTiUjFOjh5eu6Zz+pIyT4Ofem2Wt683GFsel5ZLJ5p+lJDwpFiOx+/9aJ0b6106A4upYpqAgPlaDtcLkGQJVZZQciKm5REGISPT5d0bDX7q9Tm+eKnGZmNEJqXw5sUMKU2iM7C5udHjozttzszluXqmgjKZ/HOSRug7Gz3sSSLw7laffEZ7aeLrfEaNi5iaIiVihQl7eaG9mMVyvIc6nCY8P2RJJKXLsVgiN3FJLeU1NupDOgMTQYhyXPe2+3zpynT82EsrJS6tRK5xf/z+Fj/8cIcgCNEUiblaBlEUGXkub1+rs9GIzFbKeQ3bDQhDAdv1GRl7osQH4wLL9qL4IwgpZDUqeY1Gz2S6nEEQ4O3rdUIePM/sL9psNUex4KLRMcimlBOZUqiKdKTQ/fDzh2EUn5xk7/pbv/gK/+vv38L3Q/7CT51B1x++P+zFSoWsyod3WkiiyNm5POPJ3yoScr7YdZSIN04n93b68fms3Y+EEWEo8icf7iJJApeWI0fnSiFFpZCK3KT33WfvbffZnTRCVwopygWdy8vlB+7F+YxK04kcbmU5cpkv5XSmSikcL0AQIK2pNDpj0ro8aXrIUsprB8yc8hmVseHSH9uokohezeB4IYf5K98+zx+8swXAt74wjyRJjAyHm+s9PD8grUcNXtFzahSyKoWMyjs3GoTA+cUCI8Mjn1X54jEND6u7A8Zm1Gyxvjskn1GfaeOx5Xh4fkhGl5P1lvCZJwgC/sdPNtltj9FUie98afGpi7UP5xSs59joYVguN9a6uF5AMadxYbEIRA2v7b7Fna0ekiiRTYuMTAdJFCJDLUUimxJIT+IGURKZKunIUuQ8vtYYgBCZ3G23xkiSgOP4jE2XriwyVZIxHY/9Pr+uFyCJAn4QMFfNoqoS87UsZ2YLBxrY8xmVesc48PXazoB6x0CSBM4vFJm7cD/X89Ovzz2Qq/jWFxd450YDbyL+U5Pz0WeWkemyWY+E1Y4bsLYz4NJy+cF19xRyeU9L5JXPqLHoVBQFMo95T58qpUlrMh/ebhECc5U0Y9Pj7FKeL12enojhPRamcoRhyEd326zvDqgUoqljEE2tlCSTtCZzYbFEs2fQHdi8fr7K+u6A+WqONy/VqBRS+H7ATmvMyHC5tdEjCEK8ieD+y1en4/ODJAl8fLdNt2/y0b0OYRiZbb15sYqqyOSOOYuHwPLMffMp1wtio43DcYjt+AcEHId7QUaGy+puZOYZTWQtxPGnIED2GEOai8slNutDwpDJmTKJf14EO60Rf/juFp4XsDKX56ffmI+/508M00aGi6ZKnF8sEgYhnYFFp29NDKNCynmVfEaj2TVpdk1c1yelRfF4rZRivpbl1bMVdjtjbm/0KWY1Wn2TIAzZaRuTJsCAWjHFZlqh3jFQ8iLTlRRBEPLq2TKW7eG4AZoqxvXDk3D4nLL/3tcdRG7++x30TzPPagr5/jUfhtE0hL2YwR05bDaGnJmYzyV8Pjl8n5gqpakWdOodk1opxfJMnvduNnG9gFJeI59RaXRNwjAkrSuMDDee0rnTMri0UkaWRPIZhTtbAwYjB88PcDyfqVIKXZXxvIBCNqoT7LYNNFWiVoxMKpxJDfTwHqZrcmy4Um8bB9aMrsn83FcW+eRuF1GENy9NcXuzR6dvIcsil5ZKD3zOLx2TS9QUCVUR497EJ8mLHxf/9Ef2ga8HjyFqe5n4X//HLW5t9lBkkf/DN89y/oSTShIen8Pn4MPx+ukgij38IMT3vQMCrNOCqihkUwpj00Ug6pM+jbFvZJofxQOCFJ6oTpLw8pJkbJ4Dey4PaV054NC2n53WiMHIZX4q86nGg2uKRC6txpvkUYemVt9gOI4KHmEYjff+q9+5wO+/s8F47FLJqfzgvS0GY4dcSqE7tLi71SebilzrFFmYNIwFvHouUsyOLZeP7rTxg4BsWqUzsDEcj8XpHNWCztjyUH2JoeHS7pnM1bIMxs4keRHgByHv3miQTSlcW+3ws19ciEcQr8zmSesyrhdQK6XYbY355F4Hzw/YbgqkdJnLZ8psNUeMTIeFWvS4IAgJwpDDW9TidO6BySKH/w6LM5kH3HESEl4kW5MRgXOfwiXn80qtlIqLxVvNUSzqSEh4mlRLKYp5lUbHYDB2mKmkyWjRPfSVswr5jEoQRCKi6UoKx43Gai9MHWys9vyA7sBGVaJkgOMGqIrAbsskn1WYrWaxHI/f/ZPVKBm/M6BS0MmnVe5s97mwVGRtZxA5NvkB7ZFNPqsiCgKef99lIgxDFEmkO3HV8b2AZtdkupx+4B559UyZdt9CV2VqpYcXcIMgZHV3ECeHbq51ObdYQFPEePLX4dhEEgWWZj4f63IwduKpGClN5sqZ8olczz8Nuhq5tO81u1SLScP588bzAlZ3+oiiyMpsLk726ZrM1TNldFXig9stDNPFdD0M04vG1UsixbzGnJTFsDwqeR3b8RlbLudm84SiyMh0ub7WoTO0+LmvLJPWFYpZjeXZXLS/CFB9jKLH0HBodqMiiucHrO0OeeVsNLmlnNepdwyCiRtc5Rk7ZhqWy8h0yaXVpz6h59OgqjJff33uRV9GwmeM1Z0+jhuwMpOLG2vafZM/fn+betugWkwhSyKFnMpbl6Ymjq8GjuMhiKCIIqm8hqbIuJ5Pa2Tz++9ssDxT4GuvzvD6hRqW7bPVGtGdOMe2+ybdgcWNtS7lgs5cLcu5+cIjm7W8YH88AX4QoPByiDjOzReppwz8IGCqlH4uYsnTQKWg0xvZEEaigcIpHG/9WUUQBC4vl2l0DQSiBkDDcsmmFGYrGcp5HdcLsB2fajEVO83OTmXI78sdVospzs4VMB2PQkbB90P6IxtFFrm10Yvvo+v1EZIQ5dF8P4yLl0fR7pv8+JNIqLE4lSEModExKeU1zi+WYgHD0HRITfYtURQOOGrvF3JD5HzX6plIkkDpCUWQtWIqngy2N43oJIQhfOXqLMABs5ej2ItBUqpEu2/FYljL9Tm3UMCwPIo57cSvnZCwx8h0Y6fpTEohk1IoZlVub/WxXJ+5apZm12RhOks+HTU/TJfTDA0Hy/aRpMjZsTu0o+k7oUlKk6l3xixMHTzHr8zmSWlRPr2U09huDtmsj9hsDQlDgZlyitlqmkxKZmN3GDUUChwZB+y2De7t9FEVkWxGJXOECGqmkuWv/9wlXC+g0TW4u9WnO7TifWCv6TitRevG90PubQ/iSaCiIPKzby089HzseQf3LNc7fg/7tDS7ZjRhNIzEXBeXSomQI+EzzerOkN12ZCJlOz5//P42F5aK1IopqsWn00hZzuu0eiZhGMUMxZwW104zuoIg8MQ5ANv12W0ZdAcGtXKGtCYThJFBnSgKbDZG8Z7RG9p0hzaiAKs70bTDjd2oaVnXoukgC1NZpiuZaHpHWkUANFUmo0v84L1NbDfAcT1ePRtNOr12r4OiiAiCwGwlA0K0zx2OeQzL5fpqF88P8LyAuVqWK2fKR8bnpbzOwnR0X5gpp1FkMW7Q9P2Q9fqQ1/Y9bn+uwrI9Gt1IQPszX1h43D9Vwink8D3Sm9x/izmN7dY4zuU9z+k3j2KulkWRJSzHo5zX0TWZ3tDG8yOxlSQKdIc24b61fBjL8XnnRoOh4TAcOyzP5VEVme7QYqs5wnGDeDLhB7eb2I5PRh/y2vmot0EUhaiZ/VyF7eYY3w+ZKqWQ5QzfeG0OdV8TlCSJXDlT4ZN7bWRRIJNRCYKQrdaQN9wq/ZGDrkmMjMjscq0+pD+yyaQUNEVibHq8fn7qWCF4tZjig5tNvCDg3HwRXT2+ASuXUdEUKTbYOCyU93wfd/I9xw0oZjVKeQ3D8ijltGNFsJoicW4yJfJhuJ5Pb+igqdLn2iCiP7LZbRmUC9pTFR28fb0Rr+nV7QHnF4qxOVuza8RTbIaGww/e3aSU09moj9BVEVEU0FWZIIT1+pBcWkVVJFRV4tW5ArvtMaIQxbetvklGV3nlbIXvv7tJs2fg+gFTxTQLU1lM2+fGehfPCzm/WCClynxyr8t0OY0kpTk3X8D1oylXj1Pf239OqRXvC9bfu9ngozttABans3zri4tP7Xf6WaNaSLFhRS7umiqhqgfPUPtrwQmfTw7fJ2rFFFPlNK9Nvn9jrRPHxt2BTSYVGUT6QcjFhSKbjXG811SLKe5u9Rka0cSA+VoWz/cxnYCMKFAtpqi3DYIwJJuWef18jVbP5PZWH1UWo9qBLNMf2Zi2Fz+v7fj0Rzb6PpHxXh+U6wVMldNoisR0OcrJ9YY2nb4FRHHPRmN4rAHMYfbu4Y2OgSKLTJXS2K7PYBRNP/00/Zkrs3neu9mgP3JIp2TOzBUYGQ6m7ZPPqg80VAdBSHdoIU5MOJ9lnqHZNWj1TWYrmYea0d3e6HJrswdEv/vff3szEXE8Q17m+PzkCCxM5xiMo0l/lfzTNYB4HjhewNCwCSaJycHYxvd9RPHl6Uc4KXterq4XAknu8jRz+j59pwzL9vj4XjsqWAhwYaH4gBP0jdUuP762C8D7dyR+4esrTxwoCELk2NUdWojig0XRu1t9bm/20VQRXZWRZZFsWuWHH27THzrstMbsdgzCMGRkuIRAIa2gazI/vlanM7Bo9UwWalk8P8CwjEkixcL1oqTkufkCtVIKVRE5M5dnqpTmvZvNOADZbo2RJZHVyTjg6J9DcmkVWYrcuq+tdmIRhygKB8ajdyYqfIjUur2hzZeuzLAwleXsXCFWtx4eBdof2XHC5KiC1LXVNm9fawDwwR2Jv/BTK4mQI+GlYbsVNSnM107XKLWXAUEQWJ7Jc221w+p2PxFxJDwTRAE2dkcYlotlewRB+P9n77+a5TrT/F7wt7xJ77Z38AAJkkUWy6naVRuZIzvSUcyJkKJiZi5GE6G+mi+gD6ALXSliLluhE6GQJiTNHEnRmpa6qrq6uqu6WGTREx7bu/SZK5c3c/HmTuwNRwAEQIDMP282uE26td73eZ/nb1BV0TQdehEHHXeSqDNTtfjOq3NomkxzTGKaq4rB4Ce32gRhQmfg0R+F6IrM7b3BpBF/aqFInIi9T1XkCTG/YOsMR+EJtX45b0xEnZIkGiK7TWcSv62qMsWcjhtE7LVH3N7to6oyl0/XTgwobFN7LHdLCaHhcP2InaaDNn4fFho5cpb2xIStrwL226OJ65UXxHQHwecKY74oZFni4lqV3tBHkWXKD4hrn+LZ4U9/tTkRRmzs5/nBN+8MIGxTI0mFyMMNY0ZeSBynBHGKHyZCkCxLxLFYU8JIpHR4cUocR6iygh9EOG7EJ/U251cqlPIGl8/UGY5CbFP9Qu60x/uHOUvj1dM1Rp4gnT1LYcXQDbmy3pmQOy6tVb9UomTfCbi22UVTZS6frj8zF60pvp74q4/3uL7VA8QA5W997xTNnsuPfrXFXmtEq+extlCkXDAwNAXXTxiOAjRFolI0iZMMxw3E0MFMcbyYLEsZjCK2Dwfc3rUnbtWKKpMkgkTdGfgYmowbxOiawsZun/XdPn/ttQWWHmB6AOI8chT3XC9bJwYtXzZkWWJ+Knq/B7WShaGr+IFI4NCnbjwvFDRVnpzz+07A1c0uZGIPrpUtbm33UcbJXf/zl5sA6NcV/ub3104IOY6E2FGScG2jx2HXxdBkCsdcVpVxTW5oCpqqUMrr7LVGY6fLk/fzja0+fhSTpvDhzTaeHyNJEpuHQ0Z+PHEDtQyVxXqeVl8QDI/v17NVe0Li1jWZVs+bnFdma/YJp9lHxUIjT87SiBPh8PeoYq3dsTEGCHL20kz+RM/wCEd7fpZBmmVEUTJJ9ZGQxukIj/20p3jB0Oq53NodkDM1Lq1Vnpqj9MPQHfhc3+4RxSntnk8xr2MbGoc9H8cVfYSgEGPpKoamTO7pw47L+t6AJE1p9XwgI4gE2SFNH0zOafY8wiihXDD55Fabn324S6vr4gYJpxeKpEnGylyRxUae+XoOx42oFIx7hsdXN7ogZTTK1thhL8UNYqz7nDHiJOX9a4d8cqstehWyxMUVIfrKmRqKKpGld/bro/oHeKQZ40Ijz83tHlkmnDO/SBrO7d0+hx2X2ZrN2vy9N/Vuy5mYU/SdkJEfP9Cca4opvgo4fvZ3/ZiNfSFuQILffnPpgaZoj4NS3uDV0zVcPyZva2QZfHyzTZpmeKFIFbTHiaWP0wMIooT3PjvgF5/sE0YJsiyxNl9gda5EzhxRGRtSyBIn9v7buwP2WiMOOiOSNMMyVQq2zunFEt96Ze6+NfOnt9ucWijRGwbsd0b0HJ8k1fGjZNLf88KY0wsllmbyzFTtE/VVs+sxcANGboSuCffhgn3/emzohuwcOmQZbB06rMw9/DM47Lr44/V5Y28g+o8SXBj3iR6Edt/j5k4fy1B59VT1ueyJUzx9HO2LQzdEku6QIG1T4/KZGo4bfeEe4bPA8b749uFwMj+xDBVTV+iOU/2KOY+La/cSNYduSBinhFFKnGY4o4g0zbi62UUf3+99J+DqRpfdtoOMhKEpXFit8MqpGl4QE0QJf/rLTfbaIzRVGGX+re+fQr9P78/QFM4tlVnfGTDyxVymkjf4+FZ7Qro/vnaFUUKWZRhli0bFJowSNvcHVIrmPXXM7qHDftclSzNUVeH0YokrGx1kWR6bAN1ZS1RF8C/W9wfkLJ2Zu+YLtqmxOlfED2NMXcU21ad2jonilE9utSeGACtzhRMcjq8LekOf//6LDfG5S/Abbyzct6Z8lhiMQpIkEwkxXkizJ8jRUZySZhmqIrG5P0RVJZJUiC2SJOPqdo+Dzogsg/l6jvX9Af1hQJSkuH7M2fkyxZzB9mGbdt+n7/hiRlhTqBQMFhp5ZEmisWBRK1rkLcEjGrghV9c7aKrMK6fr972HQMzs73fNfLbemXy9deAwcMMTPY8p7mC+LmatUZxM9vhW18cL4nt4VVN8PaEqMq+crtF3AgxduWfPkSSJnhMQRQmFnM6t3R7dQUCWQTjeO47Q7nsT84UkyVjfG2AZGrqWoakyza7Hx7dahFHKyIu4sFLhoOthGwozlRw7zSFRnHJ1o4uhK7i+EDuahsp8PYfrxxPjwyMjq2eB432WIEr45GZ7wjk8s/T5xlYPQpplSJI04UL2hgF7LVHPqIrMpVPViUi1XjZZ3x1OuBv1ssXpxWezd2zsDfjzD3YgEylhf/07qw98jXcLSaYU8GeLF70+fxQUbJ1G2cLQFCQJFmdePg5jHMY4o5ijzupgFBHHKdpL9nEcGfgDpMDwrnSglwXtvsfIiygXzK+1SPyZTtt/+MMf8i/+xb/gzJkz/PCHP3zoz0qSxL/5N//mWT6dLwU9J7jjPJdBe+DfI+JY3+9Pvg7DhN3WiPMrT35RyrJ03w34xlaXX3y8TzoWPjTKCvWKyYXVCv/jr8Qg2A0iRr2Y2apJkiToqoGmqey3HD6+1SFJUvrjBI3Lp+ukWUa755GmwtW72fUp53XCOGUxl2e3KQQbkiRc7+I4pTcKOOy67B46pFnGXC3HylzhREH2MFLBbC3HzZ0+wTgGdK6WQ5GlScy8H8Sk46i3IzhuOBmEgxB/zNzlirC+O5x83ep6/PyjPV49XZ8edKZ4IXDUvDwSN03xeDi1IEQct3YH/M43v+xnM8VXER/dbE9cK3KWRn8UosgyfhDz8Y0Wnb7PpbUqM1Wbw65HpWDw0c3WpNk98iLh/DAmNW0fOELEococdlxypkYQJXx8o83iTJ5Wz2OmYlOwdWQZkISThm1prM2XWN/rY+gKv/3WEgVL58ZOj/bYoWLghpxaKLHQyBMEMbvt0eSAHscpQzckZ2m8d+UQ1484t1xh9S7x02HXpTsQzdvFRn7ihCXLEqvzRTb2Bjjj1yRJ0qTB82ULONI0Y6cpxDbVovXMBRR3Q7urca2qz6cVojygNpzi2cP17yRbgEjWStP0xFD8k5ttek5IFKXIkkyWJchAmKR4QYzrx9iGNhEqW7rKyAsZjiJBNNBVSjmDLBNi51JeEL2N8uN/5gVbp1GxaHY9VEVm5S6ihmWozyUV4yj+HcR92xn4X5qIIwxj/uSvNibrc3cQ8IO3p05gUzw9bB7cOYf2nZCe47MxdoKtly1afY/tA4e1xSKrcwUGo4D9jkvP8bm9O6A78EjGBJ0sAEWBOBaDgyDKWN/to2mKIIlLsDKTR1VkNEXG0BQyoN3zxoRMlZ/8epvfe3v5geeOuVqOct6458w9xYuNvPXgZNgpXhw0uy7XN7s4XkjOMvD8iGpRuLJd3+wwVxP3ZRgnbB8MeeWUSMtani3g+l2iOEVGENTjJCVNMwo5HV1VCONkQv7ZPBhim4IIvjVeg1o9j9fP1icpFc2ey9ARtUd/FKLKMkggSxJhnEzInqW8wYc3mnhBzH57xHcNdUIiyFkar59tTMhLn96+Q8po9/wnEnEcPebjQlXkyXlNliXkBzjddQb+sWQAibytESUZsiSxtjA1hPgqYOCG/I9fbk769SM/4tuvzD3zx233/UlfulI02DkcEsYpOUunmBP7at8JubhW4/SCGOLvt0e8f+2QLBPu9EGYkJGyte8QpRnx+Lxwd+96t+WwsTeg2fPw/IggEo7vUZKJ3rwTjHvoCbNVlU6/T5aJxA1dU078PV2TkccmECrCif5BpArHFQYRB113IkY76LgUbH0i3PKCGF2T0VSFUwtFbu8OSLOMldnCQ8kaaZox8iKsMeF5Za7wxI6Vt3f7/MUHuwBc3+ohId3T81AVmYCxSYYE6jTda4qvOFbnCqzv5tlpOgRhfGd2lol75mmIOOCkUcxe647RyXAUkoxFHI/bA+g7Aa2xcA1g4AQcdjRW50pc3+7RGPdG9tojlhoFamWTUk4nilOKOZ1Wz0NVRRKxZah88+LsA+eTpqZg6ip+MGLkxewmIyzdZ7Zi0+57WIbGpdMV3r44N+kB+kHM9qFDRkYQiq+P9oP5em6ckih6tq2ex2tn66iKzEFnxG5rRJZmVMbJrLM1m4O2SDY6XkftNp1JUtnRe2doiphJ9/0H1k6uL/bEI/K5MwqnyaMvKWRZGDx6QYymyieuYVNXXyjzhQfh6D4AYX7UGfpYukoQJVzZEEYvawvFE31J29Sol0xMXcE/EL9zZaPDubF7tOOG7LZGDEYBnV6AqSvEhkgkbA981vcGxHHKlc0uUZTSqIgEtE7feyA3IG/rvHmxweb+cFw32Rx27vR+JcR5LYoTPD9GyWmEYYKmSNzaEXyQg47Lq6dr2KZGFKdsHw557+ohpq5gmBr9YcB/+4tbYzddcY//nd84PXmMIEq4ttUjTTP8wENX5RPr9FwtR98JcH2FnKUxU316KRGOG55IdGz3/a8lj2LrYHgnAScTwsCnJeL45sUZ/vzXu4RxwunF0on3t1Gx6Q0DWn1vItoauRGaqjBfz4k9wNTwgpjDzoi//GiXKE549UyN//nLTVbmCuy1Ruy1RgSRSG3qDH1UWZyXJUliv+tSKVkEYUIpr9MZ+nQGAYWczmw1PzlLFyx9Yj4Xxin/4xfreIHYi1s9n9//9spjvW5DVXCTGBDniAeJQKYQuJvg+Orp2vispdwzh5zi6wlNle9JajpCmmV8cO0QL0hYmsmL5Ijx/Mv1Is6tlDnoeGiaSJnba43wghhVkVls5Jit5YjiFF1V+LP3tmgPBGn4k9ttojhGH7Og1/cGrM7dWRtHfkRn4OP6Mbofc2mtyrnlCmGUYBrqQ41aygWDWsmk3ffR1Htnl4+D/jCgM/AYjoXVpbz+xDP0zf2hSCIoCf7DkegbhNHFRzdak5/dazkkaYYyng+3+96zE3HsD+5wI5OMrYPhA1/jmaUyF1YrQmijKtP553PAy1KfPwiyLDFbFYk2lvFyJrO54R0BB4g0iyx7+Xp/d6dvtRzvAT/54uLIwAhgv+Pyyqna13aW+UxXhexo6nXX15/3s18l3E1yuh/pqWjrJ8hdTzKMfBRs7g355FYb1xeRxN84X+d7ry+SpimGrghRhKaQpWDqGq+dbVAtGVzd6PGjX23R6QfM1izCMJ3EnQ3dkP3WCCSx0cxULJZnCgTHDvADN6Retnj/WpOdpoNtKNzeHeAGMY2yRc8JePNCg3PLZbYPh5TyBm9fmqXvBBOHz9X54mThn6/l+ObFWXrDgGJeZ/muuHjzPu/xwA0nRQqIpvDdIo5CTqM9PvQO3ZA0FUWXpspT4uMUXzruJHF8/ZphTwNnxxHAN467/E0xxVNEmmbjWNIMTVV483wd01D4+GaXJElJ0oxmz6VetgjjlF9dOeCTm22GrogZfOVUjeXZwh3RYyocLAxdYeiGXN8SbrAXViuTJryiSLxxribEjIrMylwRVZFpVCzqZXPiYB9ECdGxfXk4CtEUmVPzJXabDmGcThqiXcfn+lbGzbFDqKrI3Nju89rpGrWKxZnFEq4f899/vk6nL0Qcv//tZU4vlid/f6ZiUy9ZHHRGbB3ccbx9HsTvz8NO05k4YPSd5xv5naYZi408YZTgBTG1kvWli1qmePbQVRVdVwjHDdC8pSHLMoNRyMb4QNoaeAzHAo0wSlAVBVXJkGUZXZUp5gyR0ieB44VESYahKahKgq5KSBL03WDy++9fP0SRJE4tlp/okHtqocTqXHEiznpUNLsuv/h4jyjJ+Ma5xiM3H8Mw5mcf7tIbBMzXc3zn8tw99bxtPtr60RsGbB4MkCSJtfniF3LnBTE0/vXVAzb3h+RtjZyp0ey/fA2QKV5sFGydIBTXlaJI2KY+2ZvCKKFSMDm9UGSxUWAURPhhwmHX5ZNbLUZ+TBDEyIo8JjcI0ZemSmiqRK1oICt3yMphmNDq+9TLFnlLxQ8TNvYGDL0Iy1C4XKtDJggFx0UcaZqdWBPud+aeYoopngwbewN+fe0QSZJIknRCwGt2fXKGSn0sOlYVQcRKMyEoSJKMD643URWZ2YrFYdcdDx8l3CDGD2JkWaYcG1w+K4b51aJJs+sxV8+hSBK7zdHEdT8ap4DlLHEuyFsa3WFAlmUUbZ0gSkjGa8GFlSpvX5oly+D9a03afZ8sy3D9mM2DIa8d62tqqowiS+J5y9KErGkan58Ic/fa89jv7f6A3iDAtlROLRTZOnRI04ylmTybB0MGTkje1ji1UJo8zt1nlpW5IpWCiSTd60w3xcuJds+7Y7iEGBQ9D5iGghtE3Nrpsb47GCd3CvGyaWoUbZ3FRo7ffXsJWZZp9z0294dEcUZv6DPyI/KWjqEJYsPiTAEQ98hx8cMR+fnDGy0cN0JXZZJU9CRypkqWptimSjGnM1e3GbghaZpNru/BKJwQxbIso1wwyVkaIz9ksVHgO6/OPnB2YeiKmPGMk2ziSLgAz1btiUjiOCm7VrKoFu/0Lh6G42d514+pFJ/cme3grs/8oOveI+JYaOT4yw92CaKUS6cq09pniq88ZFnmB28vE8YpO4fDidAJnt288ngtoKkKSnpnbX6cHqJlqFiWhh/E+GFCkqUY2vj8E6UosowmS6zMFrmwVqU0XjuMsWitVDDoDnxmyjYLjfzkft86GPLulQMkSeLtSzMsNgq8eXGG9kCI7tM0hSzF9UMcT5Da8paKLME3L9wRB17d7E5MIYajkLyp4YcJtqmiKBKDUTgm27pkZNTLFkszeQ7ad3pFbhBPesLLM4V76pLB2M0XBOk1CGMh4vic97LdD4jjlGzsIHzY+/L7HZ2Bz9bBEEWWOLVQ+lJTWV82yLL0Ur9flqFO7hVZlihYOlGcsHM4JAMGo4BrG13eON+Y/M5s1eb1cw3ev3o4FrBrdAY+cZIwVyvQHfpjMalIHVMViVrZZuSFvPvZAduHIkVcVWSCMMENIqI4YX1vcIIb0B34bB0OkSRxXa7Nl1iZLfKTd7f4Tz+6TtcJOLVQppzXWVsooqsK1ZLFK6cVKnmDRtXmoDPi1s4A14+pVyxW5orYpsaN7e7YQVeiNfCZLduoqoznJ5Mk4N4wODHDcb1ocq4CJsY/R9BUmctn6mOi6NM9wxi6cieKnRdj5vNloJg7uTeWn9Je+cH1Jje3ehTzOt9+de6elDxlnLr+wbUmq3NFDjsu+67LwoxOq+uyfehQK1tYhsJ2c0QQCkHRh9db1IqC/Dx0A9p9MV9UFZkkzsiklJQMXZG5tFZlbb5AkqZs7Q8p2jqKJPHG2QZpJlI287Z+QlwyHAUTAQcIU4jHxfe/scgvPt4jScVs4YuQW79oL+EIR/e+MHUovdCEwpd9D5ji6WOvNeKw42LoCmvzRfbao0kf7N3PDuiNQpI4ZfNgSLVoij0ny8jbOnttR6RVhRJuLiZOM1o9l5ytc255GUNXcLxwnJB71I/ISFPoOREzFXEtjryYVs+lPwonopKlmQJJlqFI0kR8+qjCozNLZdYWHm1vO+iIeWWWZbxxrkGSpHx4s42uijSr/bY7fo4R/ZHY759k7SgXTq7/1dLJdTuMk0k6mDDGvvO9Z9lnuLtf8nlnun/w22cJwwRdnyZ4T/H58IOYG+Ok3CAUtfMRH+9lQRK/nIkVd8PWVcIoJAMUSWKx/nQMOJ4nTpxlMiEaf5FrrmeJZ3qy+rf/9t/e9+uvE0p5g7X5It2hIDrO3+VGEEQJr56uIckSg1HA6YUSs4/piJCkGX4QY+jKQx2rdpoOvXF0Tnvg0+6Lr2VZ5nffXhbDX1Vmpmwx8iOubfbYbg7pDgKKOZ00Ay9IWKjnmavlcLyQatEkSVI29obkLY1a2cC2VEa+j6rIfHKrRRAJt4m1+SLdgceOH+MGMVEsGqh5W+Ow4/LG2TqXz9TRNQVVkSZRygDXt7q8dWEGSZKQZemRSGFhlBAn6cSh63hToXCfIc9rZxts7g0YeRG1sjUpbFw/fioRo1NM8aSI4mQyVF5oTJM4ngRnl8sA3NzpPbXmzRRTHMeF1Sp/+dEe3YGHoauQpvSGMVGcoKkKxbzBYj2Pbaosly1cL+LaVg/bVDE0hZu7PX7w9jLnliscdoUTU2fg0R0EqIpMHKekiENREMa8crrGG+caD9z3RXQn+GEsBB8yJKkgZ3WHPr/67IBSXue1s3UyYH23T7PnIWUQRQnN8dAub2l0Bx5bh0OSLENVZNp9l92mcIvwwpgPrrdOiDiASWRvOi60S3njhRBEekF84t9+ED8XEcdu02G76SBLEmeWSlPxxtcIqirzu99c4v1rLRRZ4s0LDbIs4/pWF8+PyQBdkTE1hZEvSNSqIo8ds1OKeY2CpTIYBeQsnSzL8MMEy1SIEwXTUEmSFMeN6Q59mt0R3WGIJEn0nZDf+MbiEz3vJ9kn//yDXVxPxHb+/KNdFhq5Rxq2vH+jNUkcu7nTp1a2OL9SIUlEMlAx92jrR5Jm3NjuHTs/9Hjrwsxjv47juLUjXIklSbjzGJrCYmlai03xdPFbby7wzqcHRHE6dmJUeeVUjeFIiDhLeYPV+RJxnI4dqcTZPoxi4jghBbI0JUpSQZpMM/KWxkI9T61s0R8FWLqCqsrYpoglZ5zcc22zQ7lgomoyB22Pq5tdaiWL77wqSEd9J+DGdo8kyZiv5x7qwBsnKUH4+a5ZU0wxxR3EccpffrQ7IZRvN4cULB0vjMnbJooMnUGAIkt843ydndaIwSDk1HwB149E4g4J//3q4eRvtnoi3SuKUzQVsjTDccX+fHO7J9K6xvuzqsr0nZAwigVp8digbm2hhKGrZJlIj9Nkic4woFIwee1MdXLegIzDrksUp2PH5zvTyDBKuLrRxQtiinmdc8tlNsaEqDMPGeyMvIhrmyJZpF62nsiVrt33OBgPZINImNacWyqTZhmDUchec8TIjxh6CpahTnots1WbJM1eqDPMFE8XtbKFokiT+67xBOl1T4KFep6//HAXQ1PRVFH765pMECcosYyqip73B9ebXFit4o9JjI2yhSSJWrdWNInSFFWV6Qz8iVvlyBP1/25zxG7LYXN/QG/oAxJeEHJ6vkSxYNIb+MiKhK4LJ/lrG106g4CDjsPqvBCAHz8ft/s+ra7H2eUyl05VWZopPLQWsAyVty/NMRiJNMK8pVMrmdza7ROnKWfu6hsAx9aSh+NpnuVnq/YJk5fZyr2zmL3WiMb4/w/dCD+Ip0KOKb4WEKSmEo4XsddyqBZNXjtT+0J/M4pTwijBD2MUWaI87onlLY1GxcIPE+brOWRJpA4Vc8YDXYPvh4Ktc3axzPpun94woFIwWJorUi4YnFXLjNwQXVPQNYX8MYOIC6uVSULGty7NnkgZjOOUn32wg+fH4ty00eXv/uYpLq7VyJka1aJJz/FpDwJUVSJLAUmiaGscdF3Wd/ucX60K05/wDqlVU8Xr11WZztAfi/VSWn0PVZYZ+RE/eW+LCytVkiSlVjLxghjbvLM+369fU7R1BuMEtUJOZ6Zi44cxOUtjrvbgeXOlYDD0QgZOiCJLLNS/XAOxKE65OSYDAdzY7vHGucbDf2mKrwxOLZS4tdMnCGNW5wsYusrm3oA9XaVWMsdpo8k9woQ3zjWwDHWSKAhirn9qoUQ5b/Dp7TZxklAtmuRsnaVGniAWAnRZFkKqc0slhl5EHKcs1nNEUcKtnT7FnI4fJnx6u402JmDe2OryjfMzbOwP+PF727h+xNCNiJOU77++iB8kqGOjjZtdkY5+e29AEEU0uz6WqY5TeQbsNB2ub3SxLY1Ti0Xev9pkFET8xsUF1veGEyGXbaqkSQpjkqttaScE8gX7/iSn4+/T0VpsGepD+75+IPrVDxJn2KbGuaUyh10XQ1dZnvl69klX54uM/Ijtw+H4jFz/wn/zoONOHNvdIOa9K4f3TbNI0oz+KEBTZeZqOapFk1bfww0SFhoFhm6AokDe1MTcwI9w/Ag/SKgWDZIkxdJl4iwjimPKeQ1JFmf5pdn8JM3nt95a4i8+2GFzf8hCPUeSppxeLN/3PFDIGViGwnAU0R54FHIG1za7nF0qn7je4vF8Mmep2ObJWn62avP3f+vMF34f1/cGHHZcVFXm/ErliUmAcZJOCKoAN7d6J0RkU0zxIsNxw0nybjA2fpMlsYcE/YTtpjMxf/SCmPm6TZJkxGnGbMXi+maP3sBH01R2m0NkWSFvG6iyxE7T4a9/d3XyWK+drfGn72wTpynztRxr8wUGo4gsE0KCkS/Eypoqi/6LBArjRJ8nONM/6tzhZ+9vT8RlP3l3G0kSiZsu8OtrTWYqFp1hgG2oWIbKRzdaon+Z0zm3Unno42RZNkkmufvs9I1zDXbHySXVokXfCegMRNqYoSucWSxxdbOLpsicWy6TptmJxNKnhdfP1omTlM7AZ76en6SDPAxTAccUj4ogSk4Iku7u2b0MSJ4tXf65YaZu0h+b2us6L2VCXiGnT9ZJJJF8+HXFc7sq33nnHV555RVyuXsvGNd1+eSTT/jWt771vJ7Oc8VM1b5vVOVhdxwJk0G9ZPHdy/OP/bfDKOGz2x2CSDQFLq5VTjQbj6OQ16mXzHGkkXbC6aZWsvjdt1dI04z9zoiPb7bRNBk/TIjjDE2RKeeFCEUQR+ts7A0mg2Bdl0nSjE9uddlveaiqzPJMnihOMXWNG1s9bu70xwMPhVLOoD8KsQyZ3daID661+PnHe7x2pk7O0jk/LliOkCTZhED1KOgM/Emzr5jTOb9S4cJKhb4TkLO0+w5hD9ojzi5XWGjk2W46jPyYgq3d43IwxRTPG/ttlzQDy1CoFJ6N89VXHcuzBTRVxvVj9tujqRhmiqeODEGUSjPhjHR9e0ipoGPqIsZ4rpbjf/n+aQ47Lq2ex2AkBJKaKpO3NAqWKEbLBYNyweDcclk0ba832W3aKIqMH8S0Bz4DN6JSND+3UdEb+vzJLzdFXLcq8cb5GfrDYBLp2XdCWn0PQ1PoDgNcP+LGdp+8LZq7UZxiajKtvk8GbB04fOe1OWxdZTASgwlZgiRN7/v4kiSx+ILda7WSSW8oRKyKIlHMP/tDQBAlE0flNMvY2BtMRRxfM9TL9omBS5pm7LddugN/PHSJqJVNwnaCM4qIVeGAuDpXJIoStpsjvDChYMYoiiSc9CMfU1dQJIkwzagUDLYOhkKMXLLIsoztpvOQZ/X0EUZ3iAlH7huPIuIIjxEa4E6z53H36jTNTpwf4uSOm+STIk5Ska50YYadpsOZxRLfujT3+b84xRSPAdvU+e23TkZU77VGSJLEylyR4SgkDGPevXaIIks0ux4DJ2DkJcRJhiSDlIEkZeQsDUmSCaKU9sAnn9P53uUF/FAMFS6fqbO5PyROUhYaeVp9j3bfxzY0bCOkmDd49VRtQhzd2B9MSK57rRG1knnffoPrR1xZ7xIngsT9yunqUx06TDHFVxVxmp5IBDB14dSfpuD5MZdOVQAJWYJW30fKJMp5g94wRFWVSU3ph/Fkz5UkiSCIGQURqixc9Fw/mtyfx/fFMIx559ND0izjzJLHK6drdIcetqny5vkGeUsjzaBRFqSpLAMkaFTu9HZtS6OQ0wnDBENXMI07a8RO05ns6wMnZOgIVyg/SugNA2xLIwhjCraOrt1ZM7YOBKERoNXzqJXMx3YBP/r9I+y1R8dc9kLev94ijBI0VaaUNyd1x4t4hpni6aJo6/zBt1e4ud0nb+tcWqs8l8eVZUkYPNWFMdJuM0FVFQxNpZDTqBYtRn7MlfUuUZyRt7UJ4cnQFZZnCwRRQsHSWZkvsrk7IGdppEnGf/zxjbFJkkfe0ugMAjRVpHoORyHr0pDvNvIszdQFOTJK0Aoyf/rO5iS4Ossk/u5vnqFRudMz94KYjf0BUZwiyxKl3Offh4uNPH//t87ywfVD/CCh6wR8eL3FtY0u22vDe2qeR8XTPMsfkRcOOi5zNfueFA64aw0Zp6VOMcXXCa+dqT8VQqrjhlzZ6PLZ7TbNrke9bHHpVJULq1WubXZJ0wzbVFmo504QsB8XpYLO62fvECvztkajbNEbBjh+hJXBa2frJx7DNNSJ8dPdOKrR+qMQ149xvJA/+/U2fSckiBJmKoKQJSFhGyp+lIj6ywuply3+4sM9Ti+WUVWZStFga39ImmVEcYplqhx0xXlvpmIz8kM29iPmazniOEVCIk5S/DCezDFzlvbQ/spCI4+qit5xtWg+MukhA84tldlrjTB05bENBp82kjQ9QQaKk/v3nKf4aqLvBPRHwTgd1OPccpnzq1WQpEkNUC4Y952JLNRzJ5KQ1+bEXi/LEjd3+jS7LrvtEYv1PD1HJAH3hwGlnI6hKawtlLi4VuXnH+2x1xoxdCMKtkalYHLYcbm9O6BSNGmULeLx+W2/LVIOslQQSpMkY6ZiY2gyIz+mM/TH4hIJJIn+KKAz9NFchWJOY/twxHwtRz6ns9dyiOOU04tFVhdKBGHKb31jkV9fP6Td9WhULD680WJ5tsB8PSf6LqeqtHrCUGym8nDh29FanKYZlqlyaa16X3Ow3aYzmWMcT1K7G5WiSWXKneCVUzVeOfXFhI7H4QXRiX8H4b2EyChO+PR2h+5AzPOWZvI0KiK9xXEjek5AnGQUbYNGNSOIY9QRRIg1djAKyJk6M9UcBx2POE5RNajndSxTwzY14iSl3fdJs4zf/9YK73x6wO3dPocdD1kS4qG7rw1dlfmD767x43e2MHSFlfkivWFAd+hP9rI4TvmTX27Q6ftIEvzGG4sPvMaeFEM3nJhixnHK5v7giT+jJM1O7EnRdE+a4iXC3derHybYxp11f6mRIwgSkjQlZ2mU8wYf3+6QJinVosFHN1t0nQAJkVI5VxV9sjjN8KKTa9PiTJ63X5khGAuzZ6s2H44FaYszOa5t9rAMDUUWvIRvnJ+h5wTCIPoZGqeEx870UZygyhKM9z4JJuJNJ4lw3ABFFn1JYUrhPpAInWUZVze7DJwQSYLTi6V7zk4rc3fWtlrJxLZUkiSjUbH41WcHrO8OxN8CdE1h5EXIssS55fJTS0GUZZm3p7PMKZ4RcpaGoSsTw4Ja6eWrC/X7UAfCKMLm5UqAGHkJsgSpBGQy3YHL6vzL5VI/W7VRZAnXjygXzK9tCgc8RxHHD3/4Q/79v//3vP766/d879atW/zwhz/ks88+e15P54XAzqEzSYboDHxcP3qgAONBaPU8ukOfkR9j6QoHHfeBKspvXpzhynoHWZYp2Np9nWllWWKhnuedT/bx/JiCpTNyI3RN5dRCie+/scBsLUfB1rm+2ePqZpd232OmYhOEMcNROBZOaERRim1qBEHEYBQSJSmSJBHFKavzRTRNwdRkZFmh6/h4Qcxua8SZReFWM1uzJ655czX7sRyBd5vO5GA1GIUMxw56Dyt6svEv2KbG6myBuXqOpZnC1zYKdIoXB7tjEuZCI/+FiIhfZ6iKzOkFoWy/sd2bijimeOr47HaHzsAjiTNGQUTP8alXLAq2xN//rTM0KrbY46s23aFPMWfQKAu3OQm4eKoKCKejVt9DU8XgTLkww9WtHiMvwgtjKnmD3tipZuTHWIbKYcclzTJmKtYJwuSVje5kcBHFwk22UbFpjVM2AMgEoemI+BxGCX4gM1vNUchp2IZK342EszcZnZ7PyoUZSnmN3jDE1OWHOnG+aKiVLAxNwQ1iSnlDuAU/Y2RZdte/n/lDTvEyIMtI0oz9lsPQj6jmTbIUcpaKFyS4QYwsw37XJTd2V+u7IZWCgWkI917hQpcR9VLcIGZjb0De1hmORPNw7RGcVZ4mLq5W+PhmGxCN20dtNl5YrbDdFMNK21A58wRu24Bw8qlYNLtijVuo575w3TRfz7G+NyBnanzr0iznVyrTWmyK54Kdcf1v6iqSJBHGCUVbpzsM6DkBqiwjyxJSmiFLEoqcoclC5CXJqSBDS8J9brZqszpXnDjaFnI6fSfAMlSqRYP/z09vEidQKVl8//V5LF0j4/E2q4OOOyHYBONEr4X6tN5+XKSpSDSIk5RGxX4udcoUXy5MXWVtoTgZ3p1ZLGPqKsORiIwOkxRFFr26oROija+JNMtIEuHafJT09d6VphhQZhmqJlNQDCRJJPEeEXFKBZ3vvjLHbtullDf4xce7HDUmN/eH/OhXm9SKwhXv9EKRtYUSSZJydrlMlglCRN7STvQuc6bGxZUKXihcXXPm/XtoYZQw8mNhTJHBp+tt8XcykQhy+XTthJDji6JWMjlouwRRgqJIuF48SSDZPHQm4tMkyegeOT1N8bVBvWxTLz9/ouorp2r8/KNdVmcL6LpC0dIJ44SDrkvOVGn3fWZrNmGU4LiiTg6ihPevNnHCcEISMDSF/Fg89fGtFqqiIMuin3B+pYJtqiI5c+z8uNDIcXW9y6unBYEpSTL22g79UUTR1tA0hf4oPCHgEMggAy+MBbnBC+99UfdBMafzjfMzXN3o8sGNpnCjNlS2Dhx6Q3/iwv84eNpn+VMLpYc6UR6dA8igmNcfuLZNMcUUD8dee0QQirkfiPXk6kaXnKlNepGuH9Nzgi9E4irmDHKWxsiLkCSYr+Umj1krir8bRin2Iy4/pq6yMJPj6kaHdl+QpLf2hzhezBvn6kiKRKNiYRhixun6MQOY1GpxmrLTdCbk1AwY+fE4XcNCLkkcdFy6Q5/1vQFRmDBwQmRFopjTURWZmfE5Lk4yqiXzc+ejM/dJFXrU11otWWiKDF9yu0M8F5NOX9Rm0zPli4coTjnsusiSxMyYbPO0sNO8w5noDQNGXkTe1jm7VKY7FNfEg0wX87bO//K9NbYOh5TzBvPja+fKegdZkgjCFEWSiZKUNM3QVHkikG2ULV4fi7yO9+2TTAg1dE2hmNPpDnxqJZOleh4/iMkZKoYmAxlqIrEyU0CWJWZruUmyb4YQcEiI20tTZHRVRlXkE7fbyIsIo4R8Tpv8/92Wg6mqwqSj77NQz7PTdJg/lphzlGj2eb3K4/Ofo4ShmYp9ogdRL1uTXhSIPs9CQ6QyTPF8sNAoUCkYdIcBkgSvnL5XfNDq+QRhwlzNxvEicrbG+bGJ6adjwaRtKizOFDi1WKZcMPggPaDZDUjGAkU/SvCCmEbFZDAK8f2EgSJmh8WcPkmf6w4CZHk4uc8NXWG3LUROtqXdk2hYtHVePVObJGPlbe3EPbV1OJys71kGn97uPHURxxGyLKPvhIz8iFMLpSfi+hiamL+0J3vSy+ds/WWg7wQMRiEFW6c8NSb90nB3bXxxtcpuaySEW4rM7729Sq3UZORFLM8WeOezgwmf4K8+3mPkR5O9a+iEfPNinqEboqsKa7NFugMfx4so5Q0kSWZtTBhOs4zOIODcsjDLGLoh3YE/SRmeqdr3cPbafQ/Xj6kUP5+46/oR7b6PoSv3rX2bXW8shDa5uFrlk1tiXnl+pUKcZOy3xflgZa6ILEmM/AhDkwmjDOsRL9ehG00S8LIMdlujh55jjviXIESVRz1ggF9fO+TyaSH+SNOM3eboqYk4ppjiWUJVZF45VaM3DNA1+aW8bpP7mLWkL6GBy8iNOJKsxUlGux98qc/nSSHSWKeJ6M+t+3w3ge044jhGlr9+h0BVle+4Okk8kdOMH4m4MzLYC2PCOEGWJZZmCvc0TyxD5eJqmWYvIG+rbB4McYOYxfsQww1NQZEldE3hzFKJ711e4M2LM5i6ykHH5Z1P9vn1tSYFWxcDZi/CUBWGrlCJDtyAhXqevKXiehFpllGwhSuolGWcX6mQszRubAsRCIio5CPih6rIrM4VxwTXmE9vd7i+1R0XbyKK/WHFkHpXU+F+jhJ3Y3m2wMjvEscpc/UcZ5fKU5LWFC8EdpriQDFtWn8xnFk6EnH0+a03l77spzPFVwyDUUQUp0SRcAyLk3TsUmuz2ChM9qW8pfH62fo4rhva/QBVAceN+PR2h2bXxTJU4jjllx/vYVsal8/UCAIRdxonGduHDocdl2+cb3Bz25k4UbV6Hq+dqU+Gerqm4LghQZRi6gqGrrLQyDEcCde4gq1TK1sMXNFs0BSZWsmkXrYo5sT3cqbGXtsljhMYCzG3DgZIknAE1jSRBPAyIW/rzzWGz9RV5us59lojZFli7Rk1pqd4eSBJMFfPEScpO03IGSqOHxJGCZIMbhCRJBm3truEcYauKliGShKnNMo2jhcSJxlpmjLwQg66Lqoii2QfW8MwFGRJeiLnC9eP2G2OxueJ/GORKb9xfobVuSJhnN7XvbEz8Gn1PCxDZbGRn6xVjYrN3/vNU/SdkFrRRH+E9I4H4dRCiZmKjSTx2OL4+2GmYlO0deI0I2eq07PBFM8NiixNGoamrlArmOw2RyRpiufHZBmoCsQx4/UAcqaI3NZUcY6XJYkky7i9N0BVZGxTo9X36A58VEWmUjA5u1zh//Z3XqU7DIjTjP4wQJZFEhDA6lyR61s90jRjtmY/8L66+7z9KOfvJ4Xrh7x3pUkUp7xyuvalu8U+TWzsDyZCtGbX47Wz9Wf6Xk7xYuA33ljkwkoFWZZw3JC//HAfxwtJyVBkmZ4XIUkSlZKJH8TESYZpqARRzF7bxVBVbFPh3HKFIIwJo5i+E4g0W1lClYWAwgtj8pbGp+vdiRC83ffpDQPSLENRZJodl+0DB9tS6Q99SnlRS1zb7HL5dB3rPgPSuZpNbxhgBDG2qZ5IIp6r2dza6TMchVRLFqVjzvmuF2OPUzviOKXnBJMB7NJsgWsbIt2nWjIp5h6/dtdUhctnanhBjKErfHSzTTzuwdqGEMwnaYqqKBS+xhHdUzxfnF4sUa9YuJ4Y+v/JX63T6vsUbR3TkMmZKtsHDgMn5MJqlZyl4XgR7Z7LLz7Zxw8TKkWDmbLF0lyRjT2xb6iKjKGLGiBJhSPe+eUKVzY6JEeCT0VCVpgQ9CxdoVI0kBHnk3sFHGDqGpWSwciP0E2NZs9jMAof6Z4s2Dqvn61zZaNDp+/Rc0Qaqa49ea3/PM/y03PAFFM8PtI0m6RwNcoWlaKJqsjIkoQ8Pt/IkoSqymjqyXtK+YLzYUWWuLRWxfUjNE3B0BQOu+6Jn7l7Zvjw15IycEIsQ2HoxQxGIUHeIEOi2w9442wDL4jYbTp0+gE5K6Fashh5EZapkqYZe23RW+n0fQq2ThSnXNsbIEsSs1WbmYrN9S3h4lstmkiySObYPhzSHfr8wXdWnqrTfRyn/PraIX0nZG2+wNnlCqYuRHzdgS/6QLNf/vzp7FIZpxahyNLUYO8FQ5ZlXFnvTJL2+qOAi6vVp/b3VUUmIDnxbxDkx4fxAXrDgGbPRdcUzq9UT3AjDF0Z/y3x/9Tx92olkzOLZcIowTbvpJ/NVC1MXSFNM+EuHCXstUaMvJD+yGc4CrEMlU/XO8RxylsXGvSciNX5Aq+eqlEpmjR7ojarFU12Dx1kWcILY5Al5mo56iULy9JYmS+w1xyJmU+cYhsaWwcOC/U8ZxZFSrskizrNcQXPQh+/J2GU8GfvbbPddDA0hd/4xiKnx+LUw44rHM5tbTJTvruvoI3/fXcP4jhkWXosc80pvjh0VeZvfHeNVt/DtjSK96l7lfG1LEkSBVunXrImn9PZhRJRlGLod5zmZ2s29QNLpH8nEsWcQaVgEMQJcZySJCl+mKCpMYftEVsHQ5pdn29dmkEd76diFigxCiL6o5Q4zrix3UOVJSHsaDq0+z55WyOMUlo9nzhJCaMYU78zWzj+NfBMBEIFW6detvjsdpv+KGSxkefT221eO1N/ItOIM0tl5mqC+zTdkz4ffSfg6kYXgD1GnFsuT1N7niPafY8Pb7RQZIlvXJi5pzauly28QJhDqorM75bMyT7443c32TpwyLIMy1DJ0jsCQVmRePN8g8OumO3VKybXt3qAEAkuz+Txw3icSGXRGQSTuYYsQZaJ9UBVZZK7EkL2WiN+fe2QIEwo5nS+99r8A+cPQSSSiI6bUi7N3DGZ3Gk6wkQbIUS8fKbGylyBNM1oVGwGjs9nGz1MXWahnuf27oDymHhezht4YUwQJuTuI1I7jqOaYvLvxzjHqKqMJN0xe9RUGccN6Y9CdPXZEuHjJGXn0CGME2Yq9ktJup/ixcKRseLLCsO6t84qFl6+16OqsvDgyQA5o/AIKcpTvLh4ptWm4zgMBneUhM1mk93d3RM/4/s+//k//2fq9S8ezfuy4cxiiZs7fZIkZaGRfyIHKV2VKdrCSdP1Y/ww4aDtkqbZxE0qyzIkSeLWTp/NwxEjL2LrMEZTFcIoJcsylmdPEgpX5/OM/Iih43Ntp88f/3ydX3yyx3dfneHdq23ylkar5zF0Q9bmivRHAfM1izBOCKIIXRKvZaFR4OJqhSCK2W+7SGPy4vJsgXbfxzQ0kATRdN7WaJRsinl9UnDZpsZffrjLflu40vhhwndfnRUDYk0hb+uT13cca3NFbu70CaOEuVqO3ANUu2maTgREtqnx5vkGaZqNHTdebJVdu++x2xyhKNITuwhM8XJgt3WUxDF1efgiOLtUBuDG+GA5xRRPE5YhiRSLMEVTJcp5nTOLZd6+NHPPkFBTFVQlIU2hnNdp9TwOOx5hlLBz6LDYsFnfG9IZBDTKJooi8ze/t0pn4LE33uNtU8PzxRARhCD2f76zwX/6yXXmqzn+L3/7VeGGpcokQYymqsyULUxd5Y3zDeIknTTvV2YLRFGKpsq8eqaOhNiX1+aK6JrMpbUq63t9HC9mtmqzc+iw0xxh6QquH0/Sgp4Ex/fhJElQlBffcfp+dcdx9J2AzYMhsiSxOlcgb+sszxZEmhJMhx9TIEkSZxZLdAYehiajyDJyKO4vxw3pDgNIUw57PpIk4QYxBUvib/61MxRzJp/cauP7MQM3oNvziKMUMrAN4dZ26VTthJvb8fvs6Pp13JD1vQEZYg0o5Q2SNOPKRndCcHT9iMtnHu+M9qCmvONF3NjuQSaGq1mWnYgUtk0d29Tveb5PggfV/U8Kc1pjT/El4Oxymdu7fZIkY3W+SDmvc9h32ToYkLc0/DASDnrjI2uagR+GFPMFzi+XubndQ1WEq//QjakWDBw35Me/6kwEGmGUcGG1SrlgUB0TIpIkpTPw2NwfoigOa/NF3rowQzYmeD8IC/UcXhDjeBGVgvHQQccXxU9/vTtJFTvouvyD3z6D+QXEXy8S+s4dl5woTvGD+LkKT6d4PkjTjI39AX0noJQ3hIHJWLywdTDksOsSxgkjP+L0YmlsMAJpluK4Ed2BTymn88H1FmmaMpQiOh95/PZby9hjp/gUWN8VSVKZlNEc3zMf32zhxwmtrodtqtSKwtU5TTJsQ2Vjf4iuKXQGMBxFvHXBJI5jfCCMk/vea5qq8NrZOlGcTFIBj/by7jCgYOuTAXGtZNF3fDRN4fRiicEonJwBLEOd/F7e0njzwp3+3JNCUeTJPXRuvK5mKfzOW8t8fKtNs+dRL5m8ep9652H1yOedB74onvXfn+LLRcHSyNKM968dsrk/IElFMsb719qU8jq3x/1sz4947Wyd3tCn1fcZuhEZGcOxq+lC3WZzb4BEhhcmeGHC+eUyr56qUszrnF2usNDI8Vef7JMmGd+9PI8sS/ScgG9emGFtocTlMwPeu3qArqp869U5rm91cf2YatFksZGjXjaxTZG+Y+gK1aLJYBQ8srBK1xTW5ot0+j5JklArmWPH6pPIsowsy+45szwMD/uZp3UPPewc8EXPLFNM8azxZewlWwdDDjpCONFzAi6frrE0I5zuXztTZ6flUCmYfOvS7FhM2ccLYupl66k4NcuydKJ2Xp0vcnNbrKk//2iHP/7FbRolmx/+zQvkx0LVJEmQZRlJkk68Z16QsH0wxAsSTE1m6CXiZyUJ01BYqOe4udOnkDNYmi3S7LocdhyiOGWxnqdoG8iSxF5rhOOGWKZGZ+wa7IUx3WHA735rGdePJgTZOBHGOYamIknw6yuHBKfTiXhubb74hT7T964ecG2zRxSnfHSzyTfONVhbKNEoW9SKJpJ0rxvpo6x1z2I9/DwX5ik+H89iDQjjdCLgACZziaeFUwtFbu30iWLBmXjQPnx8Nj5Xtbk5Tr0AUVOdXixNXv/l0/VxmoCEbak0ShaLMwXOLZVQVQVNle95n/74L28TRAm/8/YylbzJyIv4dL1DztQ46Lj8yS83ODUvHmNxpsjyHHzz4iwger5HRHXXD5mp2qiKRJxk2KbCYdfDNkVyQt7UqBZNsiTD9WO0sUHPpdUqc/UcrZ4LyMzVcnQGHt2hz8AJ2W2NWGzk+Ohma/K6f/nxHqcXSnQGIt0HRP9VkWVmq/ZkLfb8mGrJnPRv7+5BLM8WaPZcshRW5u41C53i2UNVxWf+IDTKQjDYHfjkbZ2FRp4syxiMQkxT49xymWbPI4oTXC/k6maPkR+jqTJDVxg4WJZK3tLo9n3cIGauahElKRsHDrNVg4POiA9uNPk//c5ZZqs5ojgljBM2dgfkTCEE2T4Y4rghtqkyGIW0ez6GpqAqEjMVC0OX0VQV1xdmD7IsM1/P88rpGje3e+QsjW9fnnvg63TckI39IWmWTWYXj4rTiyWGbkg9iJEkiWR8jz1p8ufTnjV8lXH3vjAYhVMRx3NCHKf86FdbBOM0je4w4O//1hlyloYkSaRpyi8+3uOw4zJTsfnu5Xn08T0ryxKuH+EFMVmWoSoypxaL7DYdFEUWgpBTNc6tpCiyNNlnjmrALIO3LsyQJCmqqlArBZOfyVs2UczkHu45If/mv33C+t6ARtnm/HKZTt8nzVJGXsRea8SZMZ/nboy86IRL/t3X2/E9LU0zRl40EYHGScr17T4SEITpJAW10/exTJVTiyU0VT7BnXgQbFNjZa7AXkukdZ1auL9x4/1qZFNX+c7lOT641kRR5LHxRZcgTEjTjM8r3RwvYmNvQJplLM8UHusMtb47oDNOIu47Ia+drX8uP3Xan5ziq4wwvDexIgyTxzJ/eBFg6MLQLx7PcAu5l69uSZKU27sDRn5EtWiyPFv4/F/6iuKZTrr/6I/+iH/9r/81IA6uf/iHf3jfn8uyjH/2z/7Zs3wqLyRsU+O1xyRG3Y2CrTNXy5EfF2C5sTLV9WO6Q59bO33SNGN5tkBvGOL5MWGU4gcJrhdxbavLLz7eY66e4zuvznFru8d//PENvDAmZ2ggZbheTCGns9N02GuPUCSZmYpFrWTSH4XYlsr5tTK2ofLhrTb9YYiuK+iqzGe3OwxGAXGScXGtSiGnc3qhRBCJArJgaZyaLzFfz1GwdS6sVk4cxPww5tpGh083unhBTN7U6K1WmKmouEHMYdej1fcwVIXzq5WJkME01ElEfBjGtPsepZxxYsH95Fab968dIssS3708z6mFkmjWkvHJrTYjL6KY0zm3XP5CQ+NngSBKuLnTn0TL3trpT17vFI8O4QQhiAgvMql2d5rE8VRwdrkMwM0d4Sb8In/mU7x86LsRQSiIz3GcUS5Y/K+/e+6enwujhKubXRw35OZ2D2As1rAwNIXrWx1+9dkBQzfA1FUOuyJyduhGzNXzhFFGmqW4gUipGvkRtaLFRzfa7Bw65CyNW7sD/r8/u8l3X53njbONO48d33G4ON6E0DWFS6dOumY1uy7/5We3CMKYnKWzOl9ia39IkomGp6ErFHI6qiJz1DMJ45ThKKBgaY/kpP+rz/a5stHF9xLaQw9JEi76//j3zp/4uTTN8MN43FD68vbjvhNwY1usH4sz+fuuyWmaTRzLAa5t9XjrwgzAV2rokaQZQRiL5LYXrEZ60eEHMVc3uwRRwkK9QBKn/PLTA/woQZUhThPSJCNOADIkKSNJMrJM4b2rLf7ub5zm7/3maa6sd/h3f3KFoReRpmCkMkrRJIoTWl2X2WqONM34Tz+6jhvGrM4WmG/k6fR9TEPBDWLksdTj+vg6jZMjh/8MXVNODGa/KDw/ntStAO59/vbG3oCff7xHkqS8frbOa8fWrymm+LqhYOs0ysKF9fpml3rZQlcFGbnd97FNnTg56SzrBrDbdNg5HCJJIo2jPwxpVG1u7vaxDFUIA8IIXVPZbg75+GYbP4xZmilwbrnMT9/fYXN/wFwtx8XVKjd3+uOexcP3MEWROb9SeYbvyB0cxZWDGFA5bviVEXHkbZ1OXwxTVEWeisi+othtOfzqswMcNyJva2iqPDEyGYxCKgUhrJTHCRquHwlX2iihOwwI44zd1oie4xPHGZIM5YJBGMb4cUrR1vgb31mbXD//6cfX8YOEJM0YjgI29ocoiowfJrh+zJnFMikZSZySs3QyxMC2O/D4t3/8GWmacvlMnTcvzEyIhsfrvzhJubrRZeRFY5fphI9utpBlidmKxWHPx/NjSnmdoRuw33ZRFJlziyX+9Fdb9B2fc4tlkiTmymYfU1f4wTeXmavlJi6jTwMiFeBObfGDb94/xcf1Y370q016w4B62eJ3v7WCrt5xvL262cXzY8oFg7NL5SfqK2RZhhfE4/Qk+cT/v7HdozsIMA2F8yuVr8z6NoWofz+52aLvBHy63iEIItxApGvlLGFSdHtHDKziOONH724x9EMurdbYPnSIEnEfm7pCtWRgaCpJkqLrKnKaUbA0ynmDIEqI44wkSZmv5/lbf+0UWZrdd0/JWTqnFsR13B34uH5Ms+vyP365SSVv8PYrs1xcraLKMlGSIiE9dnLNYBQSxinZmEQxGIXkbR1NlekOfG7u9Lmy3sbxYnKWSOzLW/oD77HeMJj09ZZnCydIbkd/L8syVueKJ5KBnhZaPZc/e28bL0xYbOT53mvz0/t0ihcKIy/i2maXKEmZrdisPsc0WNc/ds7PwAtibFPj4mr1vm79F9eenoP//WDqYkb4o19tsr4nDGhG7oD//NNb/P63V/gP//MqBx2PWsni9XN1iuO0nyhO+OB6k09uixlhHAvjDC9Mcf0IS1eplS36IyHIlRCkqEY1z9KsELzZpkaapuy1XOI0RfMiNE3m0kyFzjCg5/h8dKPFylyRKEmJ4xRNkWkPfKI4Yafp8O7VkGtbPd442yAIEyxDPbHmPaieuBtJmnF9s8v715qMvAg/jOk7IR/SwvGEiOaoZ3m0xu+3R/z0/R0h/F+p8K1X7iXaHnRcfvrrbYIo4exSme9enn+Kn96XiyRJCV6CueH9kGUZt3b6tAeCUH1+pfLIBoBRnBLF4lq7H2FPGyd/HRFEC/dxr/0isE3tc81kwijh1jHRxhWniyJJhHGKKkuMvIgrGx2aXY+CpXHpdI0fvL08+f2BG/Ljd7b4t398FUmCi2sVZio5Ti+WcP2Q//2PP5sI4P/7X67ze99cxPEjgjBBkcUZyQ0SegORfNgZeli6yrtXDjmzWKJRsVmbK/LLT/ZY3xuiqTJvnhOz+3LeZGmmSL1sMnQjfn2tiaEp5CyNZl885mI9z0HX5U/f3aLb99F1hSzNCKKEg06Thbog1N9tqhUdM+Q5jqN/a6p833U4b+vCGDTLyJkajYrFfH1qJvgiI8vEfRAnYg/45FaL7cMRrZ6HLEnM120aFYtfX21yY6eHDMRZQqsbYOiCbL3fdPjea/NUiybq3pCFeo6D9pBtN6Dr+JBmNLsjojhjeTbP7317lVMLJc4tV7i20eHKZpfuIKBoazBOl0qzjP3OiDRJ2Gm5FHM6pbzJja0uKcJE6rfeXOKtCzOTedlx3D0DvLbVmxhNHc0uHmc9LucNDsZrlSxLE8OLKZ4tCrbOHqPJv/P2y0ckfVnhj1MkjjB0Q27v9mn2PHRVJopSfvXpAUGUsLE/IM1SDjoejhdxeqGEpiroukyWQiGnszSTJ8tEksap+SJRnE7qTVmS+atP9hmOe5jzNZv3rzXF+aNqE0Wilga4tFalWjIZuiGKJNHujbi62ScIE7b2h+x3RgyckCBKKOV1vvcQcZdtqJN0PxDX22RWrasUbB3HFfueLN/hTYJYN5NE7Kfy2Djv4lp1YnZ1hOMchChOiOIUy1B559MDfvr+NgC/9Y0lvv3q3AMFd30n4MfvbuG4EQuNHL/z1tIJMcfZpQpnl8Qcpd33qJcs6sfEJg/Dja0uYSR+5sZ2jzfPNx55Ru8Gd2qENM3wg/iBIo4kzSaJgbapcmG1MjHumWKKI9w5j8ov5fXhJ/f+vzR9sY3e7wfXj4nHzzuK0pN9mZcE202HZs8lTsTaZJvqQ5MYv8p4phXr97//fWzbJssy/uW//Jf803/6T1lYWDjxM7quc/78eb797W8/y6fylUBvGJCRUc4bkwZKKW9wbkUoVBVFFs51WYaqSHx8sz3ZeDf3h9TLJpWigecnqIqEIsts7g/QFIX13T7Njsu7Vw7ETZ6ktHseeVMjRcSCJWlGloKiS7SHPvWCyew4HmnnwOHWbh/Xi7FNkfDx2WaHkSfcuzRFQZEl3r40y1wtR6vn4bgRxZyBpiosNvLUSuYJAcfWwZC91ohrW338IIEM2gOfzf0hYZyyNJufOHD6Ycwnt9qcWy6f+Bvtvsef/nKLME7I2xp//TtryDKs7/T58/d3yFsaSZLxV5/sT5JLRDSqKGIGo5CDrvvCkeePGsdHiOL77DBTPBSuH3FlvUuciOL70qnql0oOfhiOkjgWp0kcXwjLswU0Vcb1Y/bbIxYaL9Z9PcXLjesbvcmynAEbez26Qx+yjPbAp1EW0ZS7rRGeH5OkGXGcYRgKczWbJM1o9VzafZ8kzfCChDASRKrhKKDT91mbL3LQdukOQ4JADCw0RaJo68iKjGVqHJEsR15EuWBw0HUn+4UkMXH8/Ty889kBw1HIyI/YPnQE8TNJ+fBGC9tQRfR4JtTdl8/WcNyQP/nFBm4gBB5/8O0VyoUHO6x0Bz5X1kWs7rXtDn4QszhT4NZOn49vtLh8VgxsklTEtI88EVl8YbXy2KSRp4X13QHJ2PJ8+8ChVrLuaXCkWXbigBcn6VfOqSKKRWRtMHYjeGWtOiWZPiKiOOHjWy08XzQVe07A+v4QL4gJopQsTYli4UI7WU8y0QiJ4pSb2z3+xy83kJBw3Ij+KCLNxF0fximlvEGtZLG5P2S+nqPTDyZiiSsbXfqjkJmKjevHHHRc5sdNxjTNSLOMTt9jfbePG8TM1mzOLZVp9z3ytv5EiYHHUcoL0ddRE7J6HwemX366PxnOfHC9xamF0tSBfoqvLcIoYetgSM8JOOy6/OLjfVbnCxy0XZo9D1WWSe/T04/io/UjI0rE/Z9k4AcJQZSgKTJxkhFGCSMvIkkzygWDrYMh63t90lSsO3utETMVmxnl6ZMfvyiWZvPc2ukDYqhUzn91HN1OL5SwxzXXTMV+Yc+nU3wxbO4P2dgbkKQZ7b7E0kxhIuKYqVr87P0dvECYqZxdLvHpegdFlibmLSBqTE1RUJQMGYlaweDdK4eM/Ihzy2XeujA7eby1hRK9YUCSZvRVBUNXiKIUVZWRZeF0nGQZli4IgEeDxVvbggiNJIaEP/v1Fkl2JIaoi9plnApw1ENrD1w+vtEhb4te23vXmpCJmr7ZHWEaKpahIUnwH39yQ/QZM/hso8Pt/QEFW0eS4M/e2+L//AcXn9tnkmUZPSdAQuLKepveUDhxtXoen91u88Y5If7YaTpCmIro0bb7/mPHxqdpxpWNDo4rzjfH+5idgU93IB7bD0RK44McCKd4uRBECX/23hbtns/mwYDuIMAyVSQkZEWQihYaJX7+0R5xnAEZYZTxy4/2yFsG/lhAn6YZUZQyX7PYa43QVJmCrRMnGbKU4fgR63t9cT1LMFO12dgbMPIiZqr2CWJkGCV8tt4BMgxN4cZWj4V6jmubPZIkJU5SPrrRYrGeI4gShq4gaDwuAWr7YEgyPhd/ut4RZlS2ME26tdunO/DZPnQYuiGyJHF1s8f3Xp0jjlPKeeMeIcZRUhmI9bRaNCeuurd2+5Pz+Pr+gGrJfOp76btXDvGChMEoZOdwH8+Pef1cfbKOTzHFl42N/cGEzHvQcamWzOfWR6uNCVognMS/6OP6QczIj56oJxGO1y3LUBmOQtGvS4RIduRF/Ok7m7T6wnxu62BAFCe8ekr0N3/+8T6yJJGkKRIi4SxOUtREIooTbu72mGvY7LdcHC8izQTRIGeqNDsut3d6LDTEmiDLEkuNPJal4YxCwjij7wQEYcLVjS6VojEx4JElif/jZzfZPhiy13IxDYWDtssVrcPbl+Ymnys8vJ4AMT/cOhwSxylxktEd+DQqNt1hl1bfR1MV8rZG3wl480KdJAVdVZgdr7nvfLpPOCYCXt3ocmqhSL18cj1+98rBhCx4Y6vH2nzxoe7xLwuOzw1NQ+HSWu2hIpkXDUc1KiAIkgfDRzJc6A0Drm91yTIo5nXOL1fuIUzLssSltSr77RGSJD0Xsv/WwZA4SVmdKyDLoq+YpBmuFyGNidn7bZfhKESSJE7NF9hpjgRJU5bQdYVXTt0xQHz/6iFDN2QwCvFDITSXJZnu0OfKeofN/SFIQgTmeCHXtrsEoXCs7o8CvCASScpeSLPnEQQJ5aJJGKfc2O5RzBn8t7+4zcb+UBDt44TWIODiWpW8JURiu60RsiTOd+2+j6rK1Esikcg2NX70zhZBFNNzQjRVxjZUvDDBD2N2WiOKOcERqRZN+k6Arsq8cU7UeJWCyebBENeLsAz1vv3X4yjlda5vidqvWnj6ddMUTx/Nnkd/bG6ytT9k63DIYEyOXmzk8cOYw7bH0A2QEddumom1Ok2FSC1NUzb2HQq2Sr1sUrA1egNlLLwW48Rmz+fGVhfXj8hbOq+eqbF94DAYBey1HCp5IUYS52iR/jl0hUu+aSjjHoBLmqaTecX6Xp+1+dI9rylOUj5b7+D5MYoicWGlcoLInKbZ2Oji0Wdsy7MFdE0hjBJhjPMFZxtHKQUFW//Cf+urjHLB4NxyeSzc1762BMwvA7apUi2ZE3OgasGg2RU8ujBK+Wy9jRvEJON99C8+3CPLxqncfY9m16M/FGtLlmUsz4gkKS9M+PRWh2rR4uxymUrBZGO/T9/xCeOUrgPvXj2ccOn2Wg6//HSfgROSIcQkb55rsNUcYWgyV9Y7OH4EGURpyvbhkJyhk6UpQRiz13FpVHPEiZh3HjdHNA2Vi2tV2j0PQ1coFww+utEkjFJ0TebiWhVNlQlCkQJ6fG5t6iqdoU+r64EEr5661xzZC2Kx5tk6rhdxY7tHloFtq/zk3U2CsXjiJ+9u8o1zDXT9/mvB+9cOJ2KS3eaIWzt9zi7fvxYr5nRUVZ7MRT9v3777PJCkGcojLknVojkxDjZ05aHJd82uOzHScv2Y3dboHsHLFF9vZJkwRr+1IwyZvvXK3EuXvOT07hU7DNwB+fwXM+J/3ugdSyGK04xb212+efHBgrgXEcNRKHhYqTAZXZz5+vI4nynj6s033+TNN98EwPM8/vE//sfMzs5+zm9NcT/c2ulPBAuVosG5Yxt9pWBSKYhIme7AZ+twSN8J2T4YUsjpzFREc+3UQgk3iHG9WLj6phm/vtZElmHoRsxWLBHVlWVESUqaQhBFJKmEZapoiszKbF44WigyiixzerHEfntEs+fRGwZ4fkyxZpO3JEo5A9vQ0Mequ3LRnAw05mo5LEMlCBMkSQyzjqdkJGnGXksUEcW8ThAlSGTkLZ1ayWS2ak8Gp1mWsX3oIEmiWJmv5ybxOp/cahOOBQ6OG3Flvc3mwZDuIODWTp+5ms1MRQiNjnD8a/E/ntrH+NRgmyrFvD4pnr4KzdHnjb3WaNIE8IKYVs97Id9HP4gnTdep6OCLQVVkTi0UubbZ4/pWb/p+TvFUcXfcfBBn/PKTA65vdSnnDRRF4g++vXJnj8nEQLNaFHt4FCdE4+ZJHAuylCLDbNUiTlL22y7XNrtjJxqF/c4QL4xRFZlGxebv/MYp/l//cYgfJmiqzG+8sUApb4gBpBex33LGh/MRM1Wbtc9x4usPA5o9T7j/jhs7ZGIgW7Q1ml0XTRXuW5qicG2rR9fxCcIUPZS5stF9qANbchfz9Pi7l2R3vtcb+hNSWJpm7DYdLtzHNep5IL2rPsjuo8YXn4c1aY7NVe2vlIADoNn1JkPaOE7Z77ifez1NIQgEH99qs33g4PgRC7UcAzdkOAoxdBVNTdluOkgwicyVJU4k3SRpypX1DrquoErSxAlHkSUkWWJtrsDQE+5wza4nhGRjCGFINv67EpXineF+o2KhKjK/vtokyYSgo9n1qBZFCpAsS7xyqoptPrlzkq4pvHqmRn8YYOjKfcVkd99RD/ecmWKKrzaO7od234MMMrJJ3LUEeNG9DUaZk/dNlonGvuOGVMdJPbIs0R36mJqKMjZqGDghOVMjzTI0VcHUVfxQpPK8iA6Mf+31BeZqOYIo5sxC6aWLN34YZFmanlG+BsiybOIcK+7TmN2WgyxJdPsBcZKSphmeH7O551Avi6F3u+9SL+fIsgxDV3jr0ixhmIgh6EaHZk+sER9cb/L6uToXVsVAcr5mc9VU8fyYN843WN8fCMfnNOWV0zOcX62Qphl5W+PUfJH2IKBaNPj11cPJGWfoRlzd7pE3dfY77rjGEAWLbap3XOjTkz21OEmZKdtEcUqapey1XXKmqCMHToA9du8NI9GLLNj62NH23jjzZ4mb2/3JGrvXPplydPz13O3GdU//8BHQd4LJMDcd9z6P6qK7xXlP8OeneEFx2HEnbomdgU8Up9hozNVyvHq6xtpCkbNLZXrDgF98vCdS+TJAFiSHLMuQJQjTDE3OePezFmcWy8xUc5QLpvhRSVwzza5Pq+eTpdDq+2wdDHD9mO2mgz525AaRUrvbdIiTFMeLyFsaW4cOQRSjHUuDOui6WIY6cfFudr3H2qvKBWN8X/tISKTcufazTHwdRkLMLssZbhBzY7vHTMVmae5eYcTD2vYnvveM7p80Fb2BI6J6lmXsNkfM1/NfqfTNKV5e3HOPPMe9ZKZqT1z6SwXjC5Ech244Xv9AUQRx/FF7EkGU8MmttiBDSXBmqcSP39shCGMUWeIbFxpc3egKoWmSMnQjVMVjtz1CU2SR4K1IKLJCMafiBjFeEGGbQmzd7vn87P1dirZOvWwRRQlkGfsdl+1DB12TqRRN8pZOpWhMzClOLZaI45S+4xMnGYNRiKJIdAY+YZwwciNUWcYPU1RVmjgNO55IZWuU7xAhew+pJwB+9O4mm/tDOn0f29KolUxWZouYusLtnR6GrmLoKrapUilY5O4icd3d8ryfKfDTqIteRBx03Mnc0A8S2v0Xc274IDzpp7DTdCbrxcAJGbrhfXt3uqaw8pxIfD/7YIf13QEAN7dtfv/bq5i6Qt8JJr33lbkC9ZKFpauoqkzXCQiiI8J6xmHHPSHiODrfTOwvjhI9xutN3tYYOCFpmlHK60jI9BwXyDA1hYV6DtNQ6TtCJBbHGf2hj1QwORppHPZGtPueuI8kSJKMb78yx25rxGHXpdnx8KOYldkihi6EFqoq0+n7BFHMfmeEqshkY4FYlIhEsyzNcP2IVt+bJHJUiyYz1RxzY/KsJEGWjuuVRyC97zZH1MaEu5EfMfKie9aDKV4sHF9rB244If4maUacpERJRt8Ncf1YuNuHwrhVliSCOEFGolzQCcKEM0tFXlmr4/gR7YE/ES6Kx4EoEXV6e+CxtT/ksOOy3XKI4pTDvoepKczVhQGJqgjBUd8JkFCxTQ3vrmSYB20T7b4/4fwkidhP56o2++OzeaNiPbaYTpafntCs7wRc2xQiN1WReeV0dZrE9xBUiuZLR+T9KkCWZX7/26vc3u6jKIKwf2O7P/l+pWDy6a0OfpSgazJ5S2Xkif3S9YXRU6VgkGQZhqrw8S2R+OAHMa4XcflMnd3miErBpDvwx0lwotYfjEIWxpznJIH9lnBTBwjClLcvylQKBqois1C3+fimIBrLEpi6QhgnY15iymFnxJV18XdzlsalteqJvSxvaRPxwdbBcNJnCaOUZtebcATvhh/GlHI6iiTdd28cjEKubtw5e8CdNWs4DOg54eQ1hfrD16O7e3vJQ7yYNVXh8ukavYfMTY9jvp6bCDGqJfOxzltLMwVylkYUpVSK5kMTPL7MM+UULwfafZHi2x8GyLKEHyX8vd8882U/rcfE/aI4nv+z+KLI7nrOvec8V3kayLJs0oNI7+de+DXCc6sw//AP//B5PdRXDmmaTQQcAN2BGOre7YigawqlgsHG/hCAasng5nafKE6Yqdi0Bz4XVyskacaHN5ocdFyGboDrx2RAKadRK1vst0eQisO+rmlIZFxYLmHbOtv7Dkma8ub5Bj0nojPwcYMYSYKV2Twf3mwzcENW5wr8wx+c45cf74vmD1AtGlzfEq7b8tilI00zrm/1ALi62aVesmiULWar9qRJuVjP0+77yJJEuWCwNl9CloXLRJqJploYJSzO5Ilj4RIWRgkLjfw9hctwFOK4EZoqM1Ox6A19Zqs2b52/Iy6aq+XoOQF+kGCZKjNVm/32iM/WO5iawpsXZx56OOsNA1pjBfBiI//QJkm779EdBNiWynwt98hET0kSTgSOF6HI0hci1X1dcff986I6jOy1RSFesPUvzX3+q4RzyxWubfa4ttnlt99a+rKfzhRfIVxcrnBjqz8ZlMxWbQ46I65vdgCJct7gzFKZ18/WJwK8etnE9WLCyGVlLo/jRkhIREmCKksiXSuFvGVQLRps7g9o9b2J21QpJ5xq+6MQz4/5f/yj19hve6zM5qiXRYNy6IZ0Bj6HXW9y+G92T5Lu0zRjt+XgBwm1shCVzNVz7LQc9ExGkXWGbsTIF8ObndaIDGiMHaJv7fSxTJWdwxFRnKAqMuce4BibZWKw6Pox9bJJq+dzaqFIa0w6W2zkuXz6zmDl7j30YU2FT2+3OWi71CsWr31O9PqTYHW+yM2x88b8eGBzP5xaKNEoW0iSNBl6tHouH40T0r5xfualjm+++zOYElUeDb1hQByn1EomXhjTH4UUczpeENNzAiHIQDhCRomgRUoZqAocBa4lqRioBWFE3jZQVYksFa4py40CXhDT7nmUCwY5S0NRJDZ2heBrda7A2cUyw3EdfPnMrEj5AHKmym7LYX2/jyor5EyNnhNMBvJpmtEdBpN6M0mE4CSKRTzyo9Ynhqbc46R7HG9daPBXH++TZXBhtUJxWvdM8TXD0A056LhEcYosS6zv9bm22SFJM0xdHTtLZkiyRBJkYj2OUyRJnN1TYdx9AmmSYugGcZJO7mHHjeiEPmeXS/ScUAwJhgqvrFY47PlUiwb1SpnffnPpmZwzH+e8/CCcXrzXuW8KgSBK2B0TcBYauelg+QXE0myepdm8cEc1VaI4Y/tApG9+cKOJF8RCvJlluJ2Ijb0BsiLx6pk651bKuF5Eo2KRpXBjp4eiykTHmHVhLIxOFEXB0BQ+vNFkc29AlGQcdke8dqpCaxBQsDVWZosEYUI0Trudq+cnBKBLp6r8+uohaQYzFYs0EWIyTZXYaQ5JYrHgLM7kWZ4tMBxFVEoGr59v8O5nByiKxDfONegPQ6IkFTWjJDFwQmQJzi2X2W6O8MOESsFgtmLj+LFw+H2IaPtJ65C7cXR2qJRMHDcUboUSFGyRTOL7wpn34tqd57LYyDN0Q8IoFa6S5Qe7Sg5GIYddF12VWWzkJzX0veebO/+ulUzafY/BSLjufp1dp75qUBSJWtFkr+UIA6U0wwtjFhtlfu/bK6zv9nnn0wMWajb1ksVB20WSwRrv/9WigeuJutywNIIoJclSAi/BC2KWZnJUiiY7hyO8IAYJMinj11f36Q2FaFwY2Ixw/Yh236fT90mzjMOuS5JknF+ukLM0ynljImq6MJ4j7LVGGLpCpWA8dN92/Yi91ghFEde9psq8dXGG//rnt0mSlJyl0hv45E1xVlmdK5JlGTNlcR8O3QhDVUgzISzZORxSK5onyISr8yLB8+hcftydf3WuyO29PmSwNJN/Jr3eN87V+S8/u8XIC5mp5qiVTGRZYnosnuJFwfJsgetbXZIko1oyKeae77n6UdJ/HwWtnjchCyXJyZ7EEYIw4cfvbtFzAl49VeO1carvUf8FgAx2miO+c3kWxwlZnM0Ls5pUiN0HowBJlmBsNBcECZWiQd8JyNsaYZSgKmIWmaRM5pKKLItkVAlmazlytsbmvqjnVFlmv+2yOCNTl03COMFxI4o5nUbFIoxSNvYG5GyNMIrZa40YOAHaeD0r5zXSLCWOUwo5ne9enue1s/UTBNajXtxgFOB4EXFiT5KAHTfksOMx8iLcIGY4CinYGiMvYqGR562LM9zY6hElKWtzxfsStt+6MMPPPtghSTLW5ouThI7JPNNU+cb5Bj/7YJc4TlmezVPIGdzY7qEpooZ5Uedtn4d7ajX55Xod5bxBKa/Td0LUcR36KDhek8KL0e9d3xtMvt5vuzS7Locdl429Puv7Q0xdpVEyqJRsygUDZ1ynB1GMroqUwbtJ3N8416DV8yhYIjlQQrzWvK2xdeCwNl9iv+Uw38jzW2/M8V//YpO+E+L5ESNfolGxsC2NnKVRtDUcN0RVFZIkpVwwUFWZ1fkin97qEMYpaZIycEN+9KtNRl6MaShUiga/+qxHs+vxxrkG33pllnc+O+BwLJwt5gx6Qx/bVMnbOkmc0nUCbEujaOss1HNUSxaHHRfb0miUhaHUTMWmOwzQVJlyQazFrZ730PPS3Z/z437u3YFPu+9jGgoL9Sfr70zxeGiULdp9YXw2U7Zodl36w4AgSjFNhTjJWJkpsN9yiFORwKkqEn6YkCUgqRkFS8OP4kmiR9HWqZc0kfqbpWOxgjh7eEFM0dbZPBjS7LoM3Whi3todBtiGSi8MKBcMRl5Eu+dy2HWxTZWVuQJBmNAZ+KzOF1i9j0AbQFXuJI62+z5BlPDNizPUShZZlj21pO6j69UyBSfnUa/X5rGaJE5SesOAudrJXluSZuwcDgljkaz7vOuvKaYA0FWZC2vCtCHLMipFkfaqKBJzVZucrZKOMvKmRqVg4gcjkjTDMjSQ4LDrkaUZlq4S+MJkNkkyVFVifW9Adyju9bPLZT693cH1I0p5g29dmh2bQWY0Kha1kimSrYBKwaDV89hvu2iaTDlvMV+36QxCbEthdSbPjZ0hWZahqfKJ0cbIEwk4DxIXPk7toiiid+qO+47VY3rUOEn56GaTD681AYnZmk29bGOOkzYkSWZpJsfVjR4AZ5dreGHM5uEQTZVZOtbzA3j9XJ1WX5gh1ssWZ5ZOzjGO+iayLBKU9M+Zmx7H0kxBcCTTJ1sbK4VHE1g1KhadgdhrDF15IY2+pvhycdDx2NwfjO8pMNeVl07EYRfvXVvy9suXsqupEB7z/Lt8pvHlPZknRCFnsDZfJIoTDF35Ws80n+srT5KEn/70p9y8eRPf9098T5Ik/vk//+fP8+m8NJBlCV2TJ0pSkYJx/yJEU+SJ+GHoRtRKFrIksXkwRFZkugNx8D9oe0LQ4MUoMshI9JyQb12aZXnGZrftMnQiJEkiIyNvaXx8q4OqSAxGEe9fa3J+tYoXRsxUbLYPhnSckNmKzcpcgbmaEFT84O1lHDfis402WQofXm+RZRkrc0X6TkgxLxZGL4i5tt7lltanUbZ468IMZ5ZKbOwNqJdN/t5vnkFToTsIScZpG9WSRbVksTRTmAxsNvZFU6fd9xmMQl4/W6fvBPSHIXN1m1dPVdlqOpAJscbls3V+9+0V9GMNUF1TeO1MnTjJRExcEPHjd7cmUe0jP+b3v71y3/ff9aNJ5CyIA+7qA9yp+07AzbECujPuRR1FzT0KJEmakvq/ABZn8nihSKapFA1qpRfTFWCnKZr/C41pcfw0cHG1wn/7i9tc2eh82U9liq8YqkUTXZcF8RKwDJWtgwHNno+myvRHIdfWO3z7lTleP1fHDxM+vd0mjBLafZ+b231ylsZsTRzUkySlUjS4fLrOQdcjTjJGfkTfCZFlCcNQmK2Kwd8kensk88a5xqRGOOy6bO4PSTIRZyzLYt8w7or43D4cTlxtOkOfy6drLM3kMTVFNBM6LnM1m712KshNGaRJNhEe5m0NTRP1R5xmaKqE+QDS515rxPahM37PLN66OEu5YEKa4YcJxfzJfa1SMJmt2bR7Yhiw8gAXjRvbXd67cgiIdVNXlEmz6mmhWjQpXZwly7LPHUQeb56EYcyP3tmeJIP1nZC/9dfWHvlxd5sO7YGPZaiszRe/9CFoo2yJ2HlHRCIvTJs3j4Sj+87QVU4vlMhZKq2ejx8m6KqMoSl0Bx6yIiEx5mHL4gtV8LSBsWtLJpGmsNTIk7cUzp+qcW6pytb+AD9IsE0NWZaQkLh8pkaciBjz1fkimqqgyCfdZnZbDtsHDgVb57Djomui8aird46Kx8lRt3cHE2JXbxjw+tn6U4kRP7tUYWWuRJqmX+sD+hRfTwRRwtWNLmGUsL43wPFCml0P10/oDQNMXWGhkWPgCtd9Z5SgyBKGpZEmCaahEsQpnh+fcE01DJnFep56xSSKU7rDAD+I0TWFjf0hjbJJpWhQyRvsdzxePV3jwmr1mYkNXT/i2lZ3IjZJs2waxf2UcWW9M0nMGo5C3jj/8jVtv+pYminyzYspvaFP3tLpj93cATw/YuhGpFmG5wvXyyOC4M7BkP/r335l7PyW8efv7xIECUmSMl/LEYQpYSTq6SxD1O3Ar68eMBiJTn4QxpRyBqW86H+0ei5S2SZOUg46LmeXKhOC4Hdenef8SpU4FcTDWzt9kaiRyuy33InjXn/U4exSGbOiIknC/e6tiw1kZHKWyup8keEoolwQhMggipGRcYOI2UYO34upV2wurVU57HpYxp2kgPvh7jqkUTEZjCIsXWVt4dFq5eNnh+3DIY4bURiTLKIo5R/+zhn8MMbUVeRjxD3TUHnjXIM4yR7qBBpECdc2uxNBbBinnB2L3Et5g/l6jmZXiNmOOxnLssTFtSpRnKIq0lcu0e/rjLlqjpEX8dmGzPJsQQimk4xqUecn723RHwpXx5/+elsILy2FMErRFIlyyaSU0wGJURCRM3VsU52IOEt5HT9Mcf2EctHA6qpUCwbbBw5BKJJ9Rl5ErWSy13LxAkGm+Gyjw0ItRyVvMHBD/DCi5wQszxb4vXGKaDDuW6RZRnfgUy4Yk8Tvu5EkKVfWu3dSj/2YS6eqrM6V+PYrc6Sk9J1IpPCYKitzRQxNoVoyWWzk+X//6BrdMWmrOwzIMon91ghdU3jjXGNyb9dKlkgfuc+5vFGxqBYNMp6dWU8QJbxxts7abIHeKESWZc4slab36xQvDIo5nTfPz5CkD9+rXnTc3RMw7tNz+P/9Yp3P1kWPf/tgSCGnsTZfOvGzg1HIYBSSxBmWqdHq+WO3+4RSQQcJakUTTZUJwoS1+QKqrFDMGRSHHgXboOv4DEYRc1WbQl7HUBXiJKXZ8yjmdebrNht7CcWCTs/xcb2QnoMQZDYKBEFMpWDQGwZ8fLNFmmVIkhChOKOQJEnpuxFkGbNVYfR2aa2KKstcOlPlWxfn7vksS3mDvK1xc7uHpipkmTADW6jn0ceJBGGU4PoxhiYjSxLnVkqszYv1ql62H9rfXJ4t8I9/9zxhnE7OhnfPM5dm8/yvPzhHGKdoqswH15uT2ieIkofWcy8yFht5vEDMDcsFg3r5xZwbPgiyLHFhVdSTd/f/Hoa1uSI3d/oEYcJszX5qpOkvAtvUcMcJ3aoi88nNNht7fX72/h6KKmHqKn/x8T7/93/wmkieGQbMViwURUKRJE4vlji9WD7xNytFk3/0g7Nc3+7RHQSEUcLWwZCRJ5ILbFPlN95c5G9//xSqIvNf/mIDTZUYphmkGSMvJggT/uHvnOPaZpda2ZoITi1T47UzdfKWysbugL32iG7f57Dj8qddl5myjarKWKZKkqSYOZ2twyGWqVAtmsjS0fnGwjJUvnN5htOLZf7svR1mvZhmz8XQFZI0o9MXxp/a+B6e9J3vWis/r796erEkzECTdJIy8qhwvIjr271JfyfLeKAD+hRPD4oi8+rpGlGccGu3xye322RkyGQkUUo39lEUifPLRZq9EZKkEIYxkpRiGBJxBrttl5XZInGacXWry/mVMtVSTggd3RDIKORNqgUT21SF8NGL0DUFWY5RZBlNEzPPZs8nb6lYhkanH2AYKlVLQ1FkwjgjZ+ucq+XI53T8MME27913qkWTQSXkg2tN0ixDkSWubHRPzDq/KE5crwPB33nU6/Xu++ru+SrAxt5gYsjbHfi8drY+nW9M8aVCkiSKOQPHi7AMVRgzqApaSUEGinmdkRcy8mLmazatvi9SriQJSRJcgWz833AUMXRDcpbGzqGDosD5lRKOl1DO68xWbcoFc3L+mK3mSMZ9gVLBHPcUxPPqDX1W5kpUCxGGIaOrCiuzeZIEdF05Ido+4kg+CLPjPstwFJG3NWYfkpymyBJRlOIGkaiNji0tt3b6XLnd4fbeUOzFo4Cl2TyWoRLFKXM1m52mM0kntUx9ks4DIgn97DFjy1rJ4h/94Cx+mN4zY0nTjKsbXaLxwNf1Y149Zmz5KHge5s7qsb1GVeRpv2OKeyBJwnQyilMkpEnN/jIhr96b+GDbL595epZNWCWASH1/2bDYyOO/BNzd54HnVj12u13+yT/5J9y6dUsIA8a72vEFfyriEEiShP/0k5vc3u1TsHX+0Q/OcX6lwtbBkAxYnik8cKNUFJkLqxV2Dh00VWGuarLfFo5aQRCz0xdE0HbfJ8vEMChJMyQZykWD1842SBLhVPF//PktOoOAOEn45aeHOF6IpslkmUSr77MSJrx6usZMxUbXZK5tdukHAQdtF8eLWVss0nMCdpoOW/tDFhp5DrsuWwdDbu8OWFso8O1Lc6zvD9g+GNAeBKzNFtltjmh2N/jG+RkunaqSt/RJ1DxSiKwIRWyWZazvDWj2PFp9F8eNOOx4nF8tA2LTcNyQv/HdtRPv0Xcvz3F9s08YJxQsnR+/s8l+10WVJV4/W+e1sw0kSUJTj9xsoomAA2DgPDh+yAviE3FiI//Bm5XjRey2HBw3wtQVijl9EjU3xbOHqshcfIi744uCo0i8R3XMmeLhOHLRvLXTJ4ySp0I6nWIKgObQJQhFsZ8iCFjVgnC8i5OMLMt4//oh8X9JWJopYhgK7Z7PfD1HGCViQFLNUcrpBGFKJKcs1AtjgtW4USEJd1ZJkgijhItrNfqjkFJOnwgEoihBGTcSesOAdz87YOCJeO962cLQZeI45Zef7lMpGJxZLOP6d4r5Zsfl56OQct6gkNORZAml57HddGj1POZrOdbmi7x35YC+EzBbsXn1VI2bu31sUyEjxTaUBzZX794X0zSbCCl1XWFjf8Bhxx1Hm2cossxcLcdbF2ce+v4ftl1u7vQY+TG2rrI6X+ACT39YmKYpSfr5Io7jGHrR5PMB6I8ePcawNwwmohfPj1EV+USKyhfB1sGQ/fYITZU5N3ZdfRTIsnSiITXFo6GUN1iZK7DfHtHsetzc6RPHiRiqBzFhlBCl6US0LY3P3PHdsbUI0nOciihjL0xQtwZ4XsxMJcdbl2aFW5uhkmUZv/x0nyBKqJdMPr3V4qDrTc4XR+4uR2vAqfkSeUtnpmJx6VSVD6636Ax8ZivWiQjs4/dxmmYET3E/FevBg++vNM0IowRNe/A6M8UULxP8MOb6Zm/ivF7M6yRJyu7hiIEbEkQJqiph6CphmOJ5Ma4fk2QSZCmSlOGHGXEaEcXZCbcqXZFIEri+3aXrmHzjwgx5Wx+TsIXzVH8UMXBC4jibOCyZ9xlGPi14QXwiLcT1Xr6G4ouMJM0mAg4Q5KkkSR+aZDbF80cSJ9za6dPqe9SKJkGYcn27K9JwVYm8peK4MYYmMRiFhONhyH7L4b1rTfpDn4KlsXM4FP28SEJTZYo5DceFhZpNMXfHBVtVFAxNiEEMXReOsX4kSFF+wu29AWmW0XMC3jjXmLiynVsuc2u3R5xArZDy0/e26Q2FA6xESmcQkmXC7Vc8jhC0j7yI+jihIohT3jh/p47/bz+7xS8+3kfTJL51aY7T8+XJ9xwvmjhwpnfVPxt7A5FqoSkEYczRtHXohjhuiG1qeH6MokicWvj8pJ7u4E49ngG6LgtSPBL1skmGhG0K4tpBx+XWTg9Flji/UqVcMCb9wgfBD+IJiRFEHX8cy7OFhxJGXmbS7RT3R5ZlJEnGwAm4sdVj5IZIskiqlmSJSsEASazjImlPJYojHD/C0FVqRZPV+SJ+GBMngiAgSxJ7bSFyCOOEOMl45VQVRZHZ2BUpnmEYk7cN/DAmCGK6Qx9ZklFVmZwhzn+KIpMkGeu7A5ZmCkjAT97d4uObLTp9n2rJZGlGXLONsvVAMmgYpxMBB4AbHJEuJXK2RhAmNMoqs1WLzYMhv/x0nzTNePV0nShOqBUtKgWT7QOHvhNg1VRGfszIjQijhCTNuLbZxQtiqkWTMw9I5Wr3fW7edc8+CnabDjtNRySLLpcfSF4VLoMylZJFpWRxbrl8XzfLIEqQYNp3nOJLgfwYxO37YeQJozJBWso9dM+K4oRrmz1GfkQ5b4j16QGP3e57/Nm723hhzJmlMt+9PD/53lE/UFcVzq2UmavZRHGC44m/W79P+lVrTGIGsX42ux5r8yXKBdF/6QxE4lDe1ugNAxwvJAjFGcpxQw67HmGcUMxpGJqCIsFivYAsSxR9nU7fo9nzcDyRaPr9NxY4v1LhnU8P2O+MOL1YppTTURWFgRuSJiJRUdUVSqaGZah8equF44UosoKqSoy8mGQsANHH4oooTsW5TxECWNvUmKuJpB9dUfjsdodzK+UJYeujmy0+vtnC9WLm6jka4/fm6GylqzK/89YSf/KLdVo9nzAWKWZBmEzmyoos0ez6bOwPkCQ4vVA60fcBiJKU61vCaKBRse85J7p+LBzeVRnHi07UPu5D5qLARCioqfILd1Z5WeaGn4fHrSdNQ31sEuHnIU0zbmz36DkBOVPj1EKJ27v9z10v+k7AzZ0+lbxBlqYgSZiawjufHZBmIo00ilLylkSSpCzNFDB1ddKvn6uqFPP6Az/HOE5pdz02D4bstEYMR+GRjw7VosmNrR7/+3+/QnV8T4jEDgnLUCgXDPwgZnEmj6JC/yOf/Y6LqshcPlvjx+9usnXooKkypZxBlkGcJPSdCBmPetli5IZUxuKxg9aIgROyOlfA0FUOey5RnFDI6ciSQpIK88e9loPpaZTyOvO1HAM3QldlHC/k6kaHhUaev/hgRwhZZYmLazVmKhZztYc7e9umxmtn62wfDPnpezskWcrlM/VHSjn3/Lv6O+P73g9jfvyrbdoDj0bZ4gd3GWlO8XCkacpgFGIa6kQE4PoxUZycSLvSVIXeICTNMoIwZeRHZB2XU3PCxThF4ZVTDdb3+oRxLNImI/GByRIkWcru4ZCtvQHXN7vMVCwWGjbNjky1aPC9ywt8cKPFjZ0eGwdDFhs5vn1pjr/67IC9toOlC+G4osjM1WxsU2O/7TDsR3QGAYois1ATwqVWz+P0YokziyVsU8PxIm6M64z5eo6lmQKnFkq0+/5kL4njlChOUL6gEOIvP9zl9m6fJM2EIda4xv+8feo4Fht5IYz3I6pF8761/8iPSNKUJMnGfYvkHhFHbxhwa6dPmmWszBYe2Xl/iikeFUfGjkdJcbvj2XIUhbieMG1wPCFYLBd0kfCZpvScgIETYGjimo3HveQwEuu8qoh75uObTQ7bLqeXCuy1XGEGEZg4XkQxb5CMa2FdkxmO69JKMaOUNyYJGKoqEUUZiiJM6GYrNgXbYORHNComsxWbv/pknzBKePvSLN1hMHlNpxdLJ+4/RZY4t/xoPIAwSijY+sQgORvXKJ2Bz86hI5LQDZGsZRsqmqJM9sIkSZmpWBzRM21TpHkd1TDOKOR//nKD/Y5LJW/wg7dXsE31vqK1KEknAg54vLXoaaPd97i9K5ymTy0U+cUn+3x6s4VpqPyd3zhNFKeTGu78SmXaq5ziBAxNZa5qMxhFKLLEwkuYJt12knv+X2fgMVN9ucxL07sGKbd2B/zWW1/Sk3lC7LeH/NF//YTBKGShnuf/+b+99VIKap4GnpuI41/9q3+FYRj8+Mc/5gc/+AH/4T/8B8rlMv/u3/07fvKTn/BHf/RHz+upvPD4+FabWzvC0WQwCvnRr7b43/76BS58TuMoScTBztAVLq5V0VSZdt8nb2tkZDieUMLN14QqNUlTLFMVh7UE8qbOYBSyvtdj+1AMgWxd4aAbokgJYZwBKbIkYxkq5bxBfxhgGSJ2cKfp0Or54iAYJrR7Pn0lwPMi4iSj2XVpdT0UWSLNMrb2Hc4tBxw0hxy2Pfwwput49IYh5YLB1c0OUZLwnVfnMQ2FW7t9Zio2iiRelyxDsyvEHZ1+QM7SWJrNj90zUm7u9Li902e+nuN3316euOedXaqwNl/ivauHkMFn653JQfGD6y1WF0oUxwVcFKdIsoSmyURjUt3DNqCCraMq8mRoVS0+WCGWJCmjcQHrh/9/9v4rxrIsve8Ff2v7fbwJ79KbyrLdXV1sw2aTTYrkHZG6GuqOcAejh4vBAMKALwL4QALE6EWCQL3wUS8DCDMQcAe6d4yuLnVJiqTUTbatNlXVVZVVaSIjMrw5/mxv52HtOBmRrrKyy2V3/BvdXVFxIuKYvdda3/f9TUoQnRJYTvEgTpM4PlpINwDpfHV7a8C1cx9tY/oUv7h480bnxNc7XZd/+PWL3N0bE8YRfpBgGipv3Opwa3vE7/7yeaJE7tsV2yDPI4ZuSK1s0ZyXJIujBsBUw+aFC1P0RgFv3DgkjBPOztV58dI0N+/2uLEhHa3n2+UTLjA7hw7jwtm3O/DZq7iEUYKpazSqJp2+LyO/iwGHHyYM3WjimKEognMLNda2h0WjRiGMU0ZuRKthszJXQxWC/b6HyOGg5+OH8nVm2YPqdZD74hFpSlHEicbz2IvYLxJBtg7GKEKwNFNlt+PSrFlUjokM4kQ6AtumhmVq+FEyGRz4UYL7MSj+D/s+a7vyvZhu2k9EEAOol6UgZuzKz2LpCUV5jhdxOPBI8xy16A5F8YMF5dPA9WVcq/ydGeu7o498UHeKe8jznJErxVQVW7pO7fc8BuOIOE6lm4kiIIM8zeT8K5eCsIchy6Vgy8nANDUGjnSRrJZMrDDh3EKdlbkK/+Nf3pAO/qbGra0BmqJQKcnz/n/58Sb//d+7AshI494wwNBVlmerXDvXojsMKFs65YIkcNj3mCucbFo1a3L9mLpK6Qld2pI0Y1zUKk/jFhMnKdfXpMO8oStcPdv6UI5WP+vfP8UpPg5s7TuTvdPrxtiWRpxmaJqAPC9MFwQlSyPOMrxIir8UAWkmiOIjl/f8gd+d5jlpkqNm0B2EvHenz1dfnsf1E/Z7Lq4fUykbCCHJ036Y0KxavHuny3PnWh+Lg/X99XKz9mTEylM8GVRFUK8YDB155qiVjc8cKeoU8M5ab+LQuN/zOOh5EzFtd+gx8iRJO0lkn0ggE3IHTsg3f7RJkmboqoIfx3R6Poau0qrbLE5XmG1JEuPACSfiilcuz3Bzoy/JQLaBYSrUYwtNFWwdOJLMl+e4IiY9NkgcuREHfUmiuL3Rww0TdF0lTlIpOhWAANtUJ/02XVOYbpYmxj3NY+TpztDnnTtdKkUD/p21Ll9/ZQmQe3TspeiaTB+4e+xsOnRC9nuyRgijFD9KsYv9XxECVRE4XoSuKScGoY/D8mx14pp3JFC2C0J7rWJMhKJxkvHD9/YYjEIQ4PgJ33h1+QN/f9nWTyQqn651p9jveYzciP44IAhjvKIHvNNxqJYNdA2SNMcuhNh+mKAIQclUcYOE25sDvvziHF+8tjgxGuoOfXJk7Tz2YlpVD8tU8QsnvLETYVsqmiqFXi9cnMIPEm5vDZhulqiVDc7MVRk4Ee26jWmo5ECc5Xz/7R3Uov6/szNiumlzOPA5u1CjPw6olc0HBNWmrmJb2kS0dNQTP3KU3+26CGDrwKE3DBiMQ+IkY2NvRNk2Juk3hq6wPFeZnNePnLbXdoaT390bBjSrJu36SVJ3nGS8/hT3rB8mE/OEOMlY2x09krzYrJmTfoOmKZM17Tg298eTekkmlp/2dE/xbGF9dzTZw3Y7Lq3CZf5h2Dl0J/fEYBzSGfjMtEpkWc7QDdFVZUKY/OH1fbxQ3se3NwecmasyP1U50Q8M45SNvTFXz7ZOpFWBPBPkuUwgEoXL/uHAJ89ymeh5rDcx1y4z1y4z9iLeX+/Rqlm06ha2ofL6ewm3t4ZoqkDTNMZORJJBq2qxujVE12W9MnJjMrJibqfSH4fsdj3adZsoTtnpuvRHMrF47EY0KhZRkpPlGXkOrp+gqYKxlxBFAUIReEFMEEnCXJppUrCvqmR5jqZJN+Lzi3UsQ2Pn0OXcQp1bW322Ow6/9Usr+GHKWzcPAXmGubnRn4g4jp835trS5GO3eF8VIbi1NeDq2TauHxOECatbffxCAL66PeTV+2aZG3ujiUD8oOdxZr6GoogJSeT4Oc82NUxDnTz+fkHIcaRZzo27PRwvRlUFV1aan0jqQxSnuP69XvIpPn4c9D0GYzkHcP2Yn94+RCl63INxyOHAZ/YhJOb1nRFJkhXpFhpZlpMXpkp+GKOoojC4ySd7bLUsk3UcV9YFzerDTZA6A4//8sMt7uwM8MOENMtJkgxNVYiSjLE3Ii64Fv2hj6VrKEqOoUvBUpJmrMzV+evXN7ix0eOw79GomCzMVLi7O+b9gm+Q5/I55UCn75NkGYYh0wueP9eiP45kTSgEs60S+z2XwTikVjLJspw4kfXgD97ZxdBUzi3UURQFQ5dr6nSzhB8mWIbKTsfl9mafgSN7z62aRRAlD6yhfpgQhAmVkvEAEfMH7+5OTKjeunnIufnaY+/LJJXrWJJmk97REbH2ndUO3UJkd9j3uX6nwyuXH2/QdQqJLMv4q9c3OOz7qKrgl19eJIwTfvDOXpF0UuHrn793trVNjTBM8CNpMKogSNKM6UaFWtmUczsBnaHHjfUBaS4HDqmAzsBHVwRCUVCDhMO+L2uG81MszlToOgE3C6FF2dY5HPjsdD3CMKFiG/RHAX6YcGG5gaYqvHxxip/e7qAogiTMyPIcL0wxsxxFJIzdiDTNSdKMd253iJMUs9jrdE3B0FUaFXOSulmytIemcH0YbO6PJ3yrLMu5szPkpYsyrfZx+9T9UBTBmQ8wVtNUhTvbI/I8p14x+NyVB1Nx72wPJ/3Q9b0Rrbr1saUHnuIXD0kq57xH4rrVzT6GruIHCXohuD3qe1mGxk7HI4xSshwGToQbxNJEGdnuS2K5ruTIe2C345JmOUMnZuAG+EEq90sn5uZGj4O+T5bl1Mo6e11vMs8fuTFLszWEEqIqgtmmzV7XQ1Gk4cH8dGVifKAogtXtwURosbo9xA8i+k6MpkjRR/Pq07mzW4aGbWrSYKr4W0cJxnohSi5bOpoqaNdtlo7xAVVVYbpVwix6kWVbv9cbBfpOyF5x5u6PQ356+/CEWB0k/yFJM2olg7KtT+qn46KU+3kPHyeyLOfO9nBiTv29n+7w7p0uCIEXJPyv377Dl56Xr8EtjKlP09RPcRyLMxWeO9umOwpQheBzz+BZT5gPOWckAfBs9fBURZwwpV96BpPx/qe/uUV/FJJmGVv7Y/78+2v8o29c/rSf1qeCT6xT8f3vf5/f//3fZ2ZG3ryKorCyssIf/uEfEkUR//pf/2v+9E//9JN6Op8qjpxWAKabpQeGHvcPHY+7WOV5TmcQEKepHLAUh5o0zXh3rUsQyiL73EKd84t16hWTM/M1NEWwvjuiWZXuDldWmggFuoOA7tBHVRTOLdR4/25Xxo6OAsIwBUU2QIWmIASoikKzJp1sjhomYzdifXdInObUKgbtmgkIOn2fztDHNjWyPMcyTZZmK7IRkAtsS+P9tR7vbw5IkxzHj6TrnhCULYMsy1ndHHB+oc78lIywPe6Wd8QPPRoO53nO/FSFIEzZ7To0q9KtfK/rsXPonliscmnwLX9PLqPgJr+3eL/jJOWd1S5xkjHTkA2R6abFq8/NPfKzNXSV5y+06Y8CTEN9qBr/CKahsTJbwQsTTF094ZR4io8XNzf6eEFMu2GjCkkiflIH8k8aR0O/halnT736WYQQgqtnmnz/nT3eX++fijhO8ZHBvo9IrCJY2xlxOHBJkowgzrGtmDhRiKIURQiWZytUyya2obKxN2LkRhi6wmyrhKYqpFnGylyVVuHM5AWxHE7mObuag6lKj6iSqZGm0iUiSrLJ2eAofePIrVPXFPIcDgc+1ZLOGzcPURVB2dZZma+xOF1GLQgeIPdKXVNZmavi+DGL0xXKtkalZFAp6ahCDkw6A5+7u0MqJekyp6nKhGh1P9p1uzg/JNQr5iR+FE4qxfP8pANvnss0k8OBjx8kHPQ98lymFVxeadKs2ZxbrOF6MSVbp1V/0KHvZ8X67oDrd3okacalxTrz7SeLGNc0hd/60hlWt4aYusL5RziGHsde12Vjb0yaZhz0fWbb8rz4sMHW0yA7HhvGvbPUKT4e3N4aTM6wXhhTMnXqVZPu0EfRVGwh7zVNFQhDR4lj4kLb+7BPRlNkYzHN5Tk9ijIsI2dhqky9YjLXLvHv/vx91ndHBEHCynyNasnED08maByhXbfRNRUviKmVDUqWPqlV7n/87c0+67sj6lWT5Zkq7br1RAThOMl4905nQvq8uNQ4IXYeOiFu4dhTecSZ7KDvTwgBUZyx3/OeuHGYpBnvrnYJ4xQEXFisP0D6OsUpPg0crceqorAyV6NRNUkKJ1ZVVTA1hctnWixOV/ivP7rL7SCWA5YMVBUex1fOM4rBS06UpIy9kPOLdXRV4dtvxQzGIf1hQLVs0KiYNKom81Nl/DChM/A/FsKhoatcO9+SAjNDe2J37FM8OS4tNyeuxFOn69xnEml6340rmAibtw7GQCYfo8o0iDzPEUIOGI/6g2Mv5MZGfxJZ7gbxJL1TVQS1ssHWwYhWzeJzV2Zk8l+cUC+b7Pc8gixGCIVayWDoReR5jmVqOH7M5sEBzZrJO6sdbm0MZErHOJDk8kLoPXZdJmkYfszVsy3CKKFaMrBMje7ARwiZanGEJDkpRjaKJGE/lATHO9ujyfeOn1XvP6bONErMtktEcYptqvzNDzfxggQhJFn6STDXLvObv3SGva7LdLNEu2Zxc7MPCC4sNiaPC6NEksEBcklgfBJoqsLz59t0C5Hs4wxeTvGLgaNr2jZ0hFDQNVWKp4JYkhc0RQqKFmv0nYixF9PPXbwoIU5ybEPj5sZApua1bPY6PgioWBqDUcjybJWyJR3f0zTlrdUeAtAchZlGiWrZwAtiZltlqhWDdt1mrlVm5IWsbg0xDJWdA4cszznsOrh+gmVqKIpCyRRMN0romjJJCy7bOs+dbZ1wz1YUKdboDgM0VZy47g1dnZzbtwuxxFGhczjwiZOMxekySZpj6lI8EsUpSzN1Xr06i6KIB9aCh/lGRPHJe3a/5z7R53N/PXy/i91xLExVJGEuSgsX7ZND3yTNJr1ckOSx2VbpkanqpzjFZxEP3BOP6Rnd/70sz8mynPfWexNy0tJshYWpygOPTQqiwf33XJrdm/cdDnySNMPzpbM3QKNqcnmlydc/t8R0o8Q3f7yBqiq8dfMQ149PkKaqJYNr59p0hz5RklEvG3zjC8uM3ZA0ySmXDFa3Bsy1SjSrFgd9j6tnWlRsjSSTCUrdPKBkqtza7OMHCVfONukOpXjjKCXsKHXorKVyMPAJwpQsy1EE+GGM68UkRbqvWohQNU1QK5lyjVDk2Wh+qkyzauEFMVme892f7rDTcdFUwc6hywsXWgyckFpBwp5plFiZq1KydJI0Y+fQoVmzsE2Netlkqm4Tp7JXrCoKB32P9Z0RWZbzxo1DyiUdRQgaVbM4c95bq+7/2A1dnm+GTkjJ0qmV7xG8VUVw7Vyb3iiYkN8ehcE4wPHktZGmOTsdl8srH6+IIwgTrq/Jnq4QcOVM68TzP46jvtfyXI0rKx99yvNnAdfXuuwcOlxYajyxSdHT4MG9O0dRxYmvH4YTtUDxtaGrnJ2vsdN1eOm8wcANadUsfulawTkRApFLh2uhiEe6Rb99u0uUpNimNNAwAGHrkIGWpOwUqTUIGDoRc22LhekaqpAk15XZKhcW6nzn7V0cL2Zz32G/5xHGGWVLY+iEDJyQJMlo1qRwvlIyMA2Fxekq55fqfOHqLGGU8tPbHaoljSDK6I0CbFOlbOtEcYZtanzv3V26g5BG1aA3rPDbXzkLyJ6wIgS3NgeT+ck9voT8//trzv444I0bB4RRRqNq8IWrsyfSwtL7Por0MWehJM24XvBRsiynUtFZnKlMatr7fzS5v/59BGSikqy3phv2L6Qhxea+w2Ff9nPSNOft1Q5+kEzSjtZ3xzw/8JhqlEiSjJ2uQ0ZOraShaRrn5mssz1R56fI0W/tjlIEgywuTsZLOyItJyFGBMEyp1E0URUEgjWB8P2LoBnRWPXw/IU2kGCOOUwxNZ7/voCoKQ8fDDROsXEUR8FtfOoOuqZybr5EkKaYhCdGNis5e1ycIE5pVkyTLePdOl839MWGSMtcqEScZfphgmxplW+PcQo08h3bd+pnPz+mxgkFTFaYaFitzVblHVj7afmSW5cy3S8RpRsU28IKEeuVknXDiHJSfzuRO8dHiOPcN5F6x3/dw3BgEWPq9NVUIacIQFLM2mdxRYujIxF1DzdntCnmNCpm6aRqaPPNqgsE4RFNV8iwnzTI29h1AEKcZYSSTPo4MJ21TZbpustd1KJkaK3M1amVT8uMMVSZbKYL+OGRppsL69oBOcf6vV02++84ejieHpduHLp+/+nREcUURPHfuXr8iTXMpegFmmiXm22V2Ow77fY9r51tMN0/O4i/f129Ps2zS89s+GN/rc/Dgvrd96Ey+XynpXFlp0BuFKIqgXZd9kzBOefdOlyTJJryHj2KdetTc9b7L5YF9//5zxOlydYr7YRkav/u186ztjqjY+sdaU3xc8LoPGsIG8bNnvG5ZKpF773kbxrN3hh67EWM/KgbaYmJS/IuIT0zEsbe3x+LiIqoqHdp8/x4x6Nd+7df4gz/4g0/qqXzqeP9u/547jRM+EOn50oVp3lntst/zMDWVr72yMPnexv6Y/a5Hnue8t9ZjeaaCqiqM3KiIvpXNCbtQqH/nrW3SNOfLL83zwsUpvvvWDp2hP9l4O32XkR+jKypRlHLQ8wnjlBwZpWirqoxfFqApMkKxUTHpjwMcN+LScpP313sM3JB21ZJGfEKwsTtmt+MwciLOLzVoVMxJ3PuRi7WqCN7b6BHFcuis6zKKtFIySTPZtGjXLDb2xvRHIStzFdZ3R3hBwny7zJm5WqHwjaiWDKIkpTv0+eJzc/hhMnF6ANDvU+vrmsLCdJmdQ5cLi/UJ2fTicoNGIbzoF45gaZax33OxDI08F9zdG7M8U2H70CFJc2ZapROHHlNXn4jwMlW36NRtzCKOeWHq2VL0Pat4/foeN+9KEcfYj3ntuTksU+X58+3PpCvzkRPc6fXx0eHqmZYUcdztfdpP5RQ/R3jtpXlWd+4RjxZmq7y9ekiaAXmOAAbjiJKtTVxxDV3F1BW2DsZYpkbZNhht9HjjxgGNqsVvf+kM7YbN0AnZ3B/z/t0+IMUMYZyy23PZ7/l4hRvldsfl1WOF9PPn22x3XBw3Is1gabpKjnTj6I99esOQs4WDzH7X5VdeWQQEvVFAlGS88+4uYZTSqltYhkYUJ3RHHlkmI9bzTKZ8rcxWiVP5nCqWTgYcDgK+/dY2L12anqRbHaFeMalXpHvlnW3pfLc4XaFWNmjWTPqj8IRYoVW3qJYM7mwP6Qx8+qOAgROyMl9DRXA48Ll6psXm3pixFVGyda6d/ehj77/79i7bB5KMsXkw5gvPzcET9lAs48NF0h+dS1RVYaZlszxboV23P1TqwONQLRm06ha9YYCiCJafQVX+s4I4SU+IkBVFoKoyJtg2NOmA7yW4gSxIg2MCjodBAJWSRpaBAigK5OS06zaHQ3mOf/PmAfs9F10R+OQMxj4vXZjmoC+HiralnagvQLq1Hx9gz7XLDEYhYZxiWxozrRLvr3X5j9++MxFQ/c4vn39ikvfQCSfONOTSja9Vsxg6IatbA/Z6Hu2ahXLocO1c+wFxrevHbB84rG0PMAyVsm18qJSyoSNfy9HfP+z7pyKOU3wmsDhdwfGk01WrZrE4XWHkRmzsy0QqoQhm2yVevDjF37x+F9PQ8MLkqJf1WBy12pNMOlSGcYbjReS5wDY1zs3X2TwcIxBUS3qRwtFBUxUWZp5eNJhlOXtdFz9MmGrYDwwcLENjrn3qfPpxQVEEM82PRvR5io8Hz59vsX3o4HgxjarJlTNNVreGIKBWNlnbHhWOpoLpVokklQTAVt0ijFPiOMP1I4IoIc9lTkdv6HPQ9/DChKXpMt99a5s4zYEhtzb7lCyZBEaeo6oKFVumTWiqNGyRRAOVf/fn79Ed+pRLOoEfMXATIKdWNqiXTbwwxTIVyrZGFEs7lCTJuL3Vx/Nj5loVrpxtMvMQ4fFcu8LVM03ev9tHEfDLryxM6gKQJKnu0dl05t7ZtF4x0DSFzf0xlqFycamOWyQNB2FKrWwSxxklW5sMoI/QHfoMxjK59/4zy3SzNBnKvnXrkLt7spZLs2zizmka2uTMLF/Dk99buvZkvcHPKrIsZ7frEjxiLT/Fh8Nsq0RvFHDlbJPb2wNMTSVOMjIysiynNwrQdZWZZomyqfPcmSb/63fu4AdyN1dM6AwD3rx9QLteYn1niKYIsgw09Z5TreMl7HWlGYBA1goHA5+LS3UO+j6Hg4AvvzhPrWwwckOmGhaOF7O+M0QR4AUxXpBQLRvsdT2qFZ3Lyy1mCoLVEVw/xg3iiUPmETRVmlKs7Qx5Z7VDo2rx4oX2JK0H4PmLU+x2XGplAzeIqdgatbJBu15ir+tyZr5OFKfEScaZuSrbhy6qKmQi98BD11SWZiq06g+Ko+6/Z+eLezCIEt68eUgUp1w712KqcfJeLlk6002b9Z0Rjh9zbrHG1v6YME4fev0/zrRJCEERcCQ/O0WcCjhO8cxhebYqycFZPunJPQrz7fKk3i/bOtMNGy+8l5DreNEkOeKli1P83ZtyXjnXLrNY1PTH+4HHe1R398YTAeXazpAzczIJYjAOieJUponOVdE1mQDhELO6NTgh4ugMPf7HP3+f9f0RFxcbnFuskyQZ7bpNGKVYuspcuzS5z0uWRtXWuL7eY7/nYRkamiowTY3+OMTSNfJ1ScSsVwym6jabBw5CQH8U8NPVTrH+Cs7M1bANhWRHSusVIcjIKZd0/CBB5DBVN5mfrqAg+zAXFmscDgJKlsbZhRpv3DiUdZ+AN27sMXJCxn6EH8Y0qybnF5ukmTTI29qXc6SdjssLF9osTpc5M19jr+uiaQqfuzw9IQcfkfLCWCacGQ9xO1+cqXB465DVzQElW+PK2Sa2qZ0w5DkOXVOeyHxGuW9NPC4I/LjQGwcTQl2eSwf6h4k4jve9fnLjgN/55fM/dyZgb9w44D//4O7kn3/v1y5xYanxsfyt6aZNZygNmUxd5cqZJms7Q6I4o2RpTDcf3pebadn8lx9tkiQZn39uhplGjc39MQszZS6tNHjj5gHTxbXWc+RaM3RCcu7t0Ud9x6N/HrsRQZTSHfl4xRkmSjIWZ8p4fsLQCRm5IV4Qk5Nj6RpBFOP6OlVbwU8zphs2zZrFXt/DD2JGrlyL0izjoO8RxykHfUk8zXNpwjM3VaVal2JaRVXwAymUnWuXaVRNbm0O2N7v4YcJqiL7yPPTFdIk481bPkma0h/l5EVakFGQYvM8n4ivDgeCelX+jUpJEmeP6pkjvL/e48bdPnGaUTY12g2b1c0BYy/i81dm+PzlaX7wrkx7uLTceOzZf+xGE0NRQ5dJbscff+1si60DB8+PCyHdw9PN7sftzf4kVbQ7DLh2rvULd4Yy9JOkO00VjNxokmjj+TFCyPfqz7+3Tm8UyM8iV2iUdaYaNlfPtgiORBGmNGjb77qUSwZjP0FRcjRFkXubIeuH3jBAKGBpAteLAYGmCrI8YzAKUVWFpZky5+fr/NcfbXE4kHtzyVTYPnRY3RkyHIXsdV1JDjc0LizWORj4RIl067+x0WfnYEyWS7H3jU3ZQ5hq2JMevesnlBf0j4yrsTJbZaZlc9Dz0TSFV5+b+9hqdFURJ9JrHiZCWpmrTpIS5qfKD4jBT3GKnwW6prA4U5FiAQHTjRK9ccjYi7AtHdWAKElJMynKuHquhePG+FHCTGEGeTsekuUU97/sRQIkRR/S8WI0TXB+voYTpKR5hqmoxGnGt9/aJooyFqbLPH++zfff2QPgc1em+dF7h4z9CEXAW7cPOb9QJwhlQoimCN5Z6xJFKf1RQJRIcUWW5UwFMUGUFql40Bv5D7zuoz2+WjY+sB8+GAfcuNvD0FVevDjFXsfh1taQRtXk6kqdd9ckb+hvXt+gWbVOkNKdIObmRh8A65JGrWRM1pOSpbG+O2LoRNim+kCq53FDGMeLiZLsgb5pfxSQFD2XwTjkjZsHXDvX/pl6/N2hL/vNgDh0eO5ce8JpVIve6+b+GAT80gvz+FHK3d0Rmir4jS+ugBCTM9yH6Yee4hcHlZLxyBTbZwGl+oN1rWk8e0ZMI/ckqaTbDz6lZ/L0uLjU4NbGoDAtlsZfv6j4xCbnzWYTx5FNpJmZGW7evMkXv/hFAIbDIWmaPu7Hf24QJ9mkgQkwcqIHHE4MQ+V/+J3n6Q19KrYxKcpBNiJANp26g4AgkukUzZrJzY0+9bJMFKiUdF5/d0/GcQIbB2N+79cuYVsabhDz/lofFMHmoYumKuhqxhs3D4tBrHQIL1saL11ocX19QJpmqKrCixfa3Noa4QcJfpzghAkVSyfJcto1ueGPnJC+E2DpGlGS4fgRUw2bLMsxDY0XL05z2HN4/fohnb5PECU0KxZKCpap065bVEs6QzdCU+WgdrphU7Z1qiWDkqlx0Pd44+YBM80SK+crKEIQJfJ598YBrz0/y7ff3MGPEi4u1R/aPFyaqTLbKvP5qzNkaUaSZZSsewXWkZN5FKckqYwzBnnAS5JsEunYGwW8fGnqQxdbqqpw7VyLuIhq/SSalaeA3cI1LohSkiRj5EWYhs3QiT5zIo6hE05Uhoszp0kcHxWuFuTuG3d7D6y/pzjF02J9c4CmFITJDAajgEbVlPF1xfBe1xQaZZO5VpkXLrR5b71HfxQycmPiJKBdt7i7O0JVpGPFm7cO+cpLC9zc6JPnsLU35qBwte2PQwxNoVY2CkImNCvmCfeWSsngH/zyeYIowQtitg5c7mwPin0tozfymW7YVMvGhDB9cblBFKf8P/7sXW5vDcmyjHfvJPz2l8/yzqocKMhUkIRf/+IKIy/CDRLOzddwvAhD09jtOihCRp93Bj7/8OsXH3i/4iTj/bu9SbxfEKVcXmlyablJVLiPg3R7OBokHvY9SXjzY7pDORCplg1m2yVKlsbvfu0cXpDIAesj3LZ+FoRRiqrIYZ8qFAZuSOURrm0/K0xDnSQOSJeg0s8UH90fB+wU5JezczUsU+PiUoNoVr7X96fCneKjg6ooqOq9KMt6yeTFi1MkaUYUpxPyUn8YcGtz8FgBB8BU0yJNc4IwAqFg5HBxsYYTxjLBZXdMZ+AxcEIMXaVWNphqlLh8psWF5Tp5Bq8+N3eivngYzKKReZTiI4Tg9rF43TyH1a3BEw+z7ycEmLpKECbc3Oizc+gw9mLSNGe2VWLohidEHEfrxdAN2ev5CAWWpisfKm78/vvH/IDXf4pTfFIo2zqvXJ4mKfa7KE4nKVmWLl3o8ky6IQlFkGWS2J2QI4SCIrIHXA6PIDjpqGRqgm/+ZJuLy3UGTjhx3apVDKbqFu/e6ZIDlqFyY33A0vTTRWRvHYwnEeLdUcALn5BYPkkz1ndGBFHCdLP00B7AUbT8ESn5WSZYPw69UcBu4dh7dqH+M50hTvHRo2QZ/IOvnccLpDudoii8fGkGRYF//f/8IXEq03ayPKddMzm3WEdTFSolg619ByeIMXSFOzvDyX2epBmtuk0jzeiNpcuaUYh/318fTIaDB/2cL1yZpWLrKIpgdXtAo2aR55IIsrE3RiiCgRPheLInl+eQpPDac1Ps9mKWZyWpKExk3E+a5bx7+xBN09jcd4iSVBKuhZg4Qx/hv/36RX7V8TFUFds+eY6+sNRgeVaugccJD2GUsr4zZOvAwTJVNEVQLR8JP0J2Oi6qIhg6Ef3xPeGsFIrKYWV3IsJ48J5P0oz313sTgvp76z2ePz+FWjj4fvG5OdZ2hqgKXFz+xRkgbB5IEyGQa8pn1fjkWYGuyUG+ZagYqsLbd7p0hz55lpMj6I8D4iRn+9ClWtLZ3HdQFRVdzaUrbphiI8XfaeLSHfoIIE6lM7UbSHGCrglUTUERoKsqlZLO0kyVS8tN7uyMEALubA8RQjDdsNnruQgEpq5yd2/M6tYAVVVYnq7IhO+qjmWoRFGCH6WULOnYLgSPdLje7Th8560dQLoJZ1nO567cc8usWDovXZmmNwho1Qw6w3BC6D26xgxdlTOBAwfb1Bi5ISM3YnG6QprmzDTth9awmvrwe/Zv39jioCdnJHsdj3/w9fMPGCTMtqSIxDJV7u6MWEc6cn7Ys4yqCM4v1rm7N0bAM+lGeIpT1Csmn7syc6In9yhYpsZLF6dP9A4MTaaIeUHMTtfFNjS29h0WZyr8o29cJoqSE0RHIcSJfuDR/T0YnyQfhLF0z1fVe2eFMIgZupF09A8TyvbJe/vf/M9vcXd3jB8lHHR9tg/GVMsmSzNVbEPjd3/5HN1xyI/e2ycHfuOFFf7qBxtcX+9KormpcWa+wtgPGY1jukVi4cJ0BS9M8KOEalmnXbO5vTnA8SKEEIRRiqEpzLbKaKqgVJOC2ihOIZd9DkPPSTOZxvQ7Xz03eU+WZuWcU1UVvvfTXaJYktqCKCOMZd9zplHizEKNkqmzfeBMUl9BCjEdTxJjf+O1FdmvNTQMTcH1pcBGUQT1qslCq4RZCDPun5FUSwb7PQ8BRFHGf/3R5kN7vB8WzZrFTKtEd+hjGdonYizzpD2h1d3RU/e9nhWsbQ8n/5zlUiD1YUQcIzdi62A8Oev7YcJe10PXFM7M106815qq8ML59okZ+P3rxcPwzmqXPAdFUbixNuC5r7eYatgIIef124fyLKQKQbXoH97/mR49j+7QZ31nRH8cctj3aNVMDtIcQxf80rU5Zlo2g3HEX/9wgyzP0TUFP0wJybBNFcvU6I1DmVxoaAydCFNXsUydbBiQI88t3aFPkmRF+qBM2wniFKXo49imhqkrlCwNz49pFGL2z12Z4d07HfxQNoRVRfB7vzpPtazzzZ9sESc5cRKTZtmJXq4oEnR6xX3Urlucm6/TqltcWGw8MBvZ73mM3Ig0y7m7O+L99R66rlKvmGzsj/kffud5/tE3LpHdx5N4GB7o8d733h+fSR3Vux+EPM8nAg6QgmF5nfxi9TLmpypcPtPkzvYQ29R47docP1EPGLkhcZqzPFOhMwz44bv7bO07xEmGaUiD1C88N8vF5Sa9YUAUZ8RJyu1tmc5ZtnQaFZMoShm7Ebqh0qyYnF+s8ebNrnTajzPCKKecCyxDZegUe1ZxPe91feamAxRFGh9kKYzcGNdP+ff/+SZhlGDbOq2KwfPnp5hrl/nu2zvF7CPB8SO+89M9Pnd5GsePqVj6ZM9OkgxNUx5bYzwNFEXhN3/p7Il98GfBw2ZsRzgzX+P25oD9vuxP7HVczi7UTswvZpolWkX/5aN8nac4xREWpyvMNEsIAQc9l/fudMlyuXePLY3Lyw3iJEfTBPPtEmvhiDTIaTVsfD/h3EJOlkMSpVzXpDhDIM/7QkgjGF1TUDWFallB8QXVssH+ocNhPwBygjjBNnXmp8rkOazvjuiOffLCE2J9d8SlpSbTjRKqKnh7tTNJ2xv7MRt7Y0qWRpZJQ0s/SkjTTIqh75uBHO3x8p8DVOVkGlx36PPD6/ukacZzZ5r85Q832Ot4KAq8vXpIfxiQZJJ7sN91UFW552TFGfB4Lf9ffrgxSZI76Pv83q/eOxNbhsbf/+qj+QmGrk56jo9a547OLSM3Yr/n0axZrO+MHnhNHwbH99U8h5ETnjCmnp8qT85Xmqrw3/+9K/SGPrZtYBsqeZ6f8hhP8Vh0Bj77PVkHnJ2vfWDv4LOGxB0+8O/K9rNv/ri19+Dr+qyjWbeYaVoEUUrZ1qiWfnHNpD4xEcfzzz/PrVu3+NVf/VV+5Vd+hX/zb/4NlUoFXdf50z/9U15++eVP6ql8qtBUORg5coItWQ82x47QesiGXLZ0gjAljGQj7yhuNIxTVCE46HtM5Ta2oXHQdxk6EWmak+U53/zRBntdj6Eb4gcptZKGUjQU/bxw0CobmLrC8kxVuj5k4IUpaZZj6BTDXNmw8IOEDW9MrWxgGap074tTLEPF9ROSJEfVBIYmGxNHStEkybi+3mfkRpRtnTBKqZY1mtUKZ+frGLrCCxfafPutHbYOHJIkk+7bQ38yLBqMQ0xdJS/iBrM8R1MVHD9m49aYC0t1vvryAlONxy+yk0OSquCNA/7q9VW8IObsXI0vv7TAylyVg56H48e0a/J3lW39hBAny3KCKH2qZoIQ4oHNLC6aPE9awPVHAWs7I3Jyzs7XTl2FPwDNmsnYizA0hTAWVIomwf2Oz58FHKVwzDQ/Ovf1U0iSuqoIeqOQw77/UJfQU5ziw0LTFNL8nttiVrgzbR04hFGGqgpsQwVxb30/InU3Kibv3+3RHfrsdBwE8lzQHwUoQuCFiXSyi5PCAT8nSXM6Q488lw5raZZjW9oDyVOaplDRDColg0bV4v27UjiSZLIxmmQpc+0SX7w2N/mZHLn+dIc+cZKiKgqDcYjjx/Lvk9MdBvztG5vomoqlqbRqFl+8NsfVlSb/9//4Djc2+pDllCyd2VaZdt3i4lJjUuiHccpB36M3DFEV2eSEJq9f32N1a4BtanztlcUTe1p/HOIFCWGUMnZj5tpi8l6BbMpWHuMO+DTIc+n60R3Kz6JaNlGK+Ni7O0NGRSrZR910Pb9QZ31XujDPt8sfmnx5/CwRJym3NweTa3N1ezhJBXnWCupnEYoiuLLSZHPfQSgw2yzx7lqXMEoL17+cm3d7rO2MCMPHi9oFyDN+zyOMcxApcZoy8mLiNOfmxoA4zihbGpYh3ahbNYtzReKOqqig8IEip8398aTxcmm5MblOFqcrvHunSxAldAYBqipYvHHA5698cIRxrWygKLCxN6Zc0nnhQhs/lGuaZWqMvXgiXCrfR5AK45Q0zYnjjHbdQlUF81Nlxl70UDJmnues7YzoFrXDpeUGlZLB2fkahwMfy1BP02dO8ZmCoggMRd5nhq5ycbnB4cAnilLadZuDvstbN2FltsbajhRTBVFCnD5awAEnBRwAe32fcsnk0lKDVs1ibWeIoigsTFVQVRXbupcWNjxGhP6wOEoIO3oSfph8rMTfnY7DzqHLYd+jbOlYpsbd3RFlS3vgXLC5P564c2/sjbFN7efOXT6MU1a37u37d7aGPHfuo08oO8XPhvvPrSVL1vtxJokqR6lXB32P7jhEUwTPn5+anNn3eh63twY4XoyiyEa3pghQVMqmznAccvTbLVNlv+cRJymzrRJplrHbdamUdFbmKuz3fNI0R1VyRp4kQSqKOCEO94KIb7+1TyYEG/sjWjWDjcLt+eqZBnf3HfxAun1m5FxdkdfcrY0BL1++5wK713XZOnBQFcHF5cYDzt4PO5tuHYy5tTkA5Hryptvha68sAnLPT5KUjhNRsk46QztezE5HCsAtQxKUnkS4dby+AOkg/CiX4GcdUZxya3OAF8S0ahYjL+T99T6mpjI7VUYvCCf5J7CWfxzYOXTY6bjoqsLF5can3vcTQhDFGXNTFaZbJdZ3RnhBzI2NASVLkpI1TVAu6diGiiIEFVvHDZKJuGnoRBxECXEiHZ5zIEsTTE3FMlV2ug6HPU+SgnWVi0sNSpbGt97YBnLOzNcJo7QYxpuEcUae5/SdsDBKSImSjJ2uQ47A1Cp0ByGdoU+9bEoyQdXiqy8vsNtx6Q4DLEPl0kpzUrN2hgFDJ2T70JmsZcdFHHtdl15hTPXj94eUbZ3u0GfoRsw0SrQbFkma0R/69EYRUw1LJu9EqSSOaAL/vropiBJubQ4Io5R23eKL12ZZ3x1xa3OAZajsFKSSNMtoVE0cL8IyNLwgLoT0GaauohYkwzBOJ/vo05xl2nX7tD9/imceqiJkD+EJcLyegXvrz7trPSqWPkm+cv2YxWkFQ3t47+7+c0DZ1oliWZcsz1apVQxUobA0W5kIPeI054XzbdZ2RigKvHRhCj9MuLXZ5/od6TyfpJmcwSqw1/XpjyMcP2ZpusK7az00TeHzV2Y4v1hHCMG//6ubRFHK0I0YuiGqKuewcZKCEGwdOizPVTkzXaNa0vlP31nj7u6IgRvI9anoDzt+iOhLYavjJzTrOv2RXM/COCVOUva6Glme899949LkdQdRyv/2nTU298f4YSLPaZrCmbkqiqIQxSl7PZlMND8te4bbxRypbEvSnBfE/OCdAYoiuLzSnBBXzxT9oTBO+eqLC3hBglCkW/n9iKKEIEgmgpkj5+CflQQLcHa+NkmH/iTQrtsEUTpJaJt/xJlwoV3mndudydfzUz9/ov/ZdolbW4PJ1wvTT24el2Y5Nzf6E17CkRHEUfMhy4YTA7UjCCEJ4Dc3+4zdSKZv1Sz+f99aZTAOODNf4x/92kVAkGQ5pq7SHxcCTwF+lNB3QmZb8rOI4pRm1aRZlXV8vWKwsTfioO/z5s19HD+hUTX5b792npsbfW5t9gnCdLJm5Dm8+twsqgJ/8f277Pc8Zlsl/CihOwwIopQsl4mDpiGNNnRdRdMUDocetYrsL56Zq0pSqSI5FkmSoxQzmzyXppCWrrEwVZai8bvSvXu343KpcJb1gpjbWwP2ux7dYYCuK0w3LHrjkNs78nzoDwNUVWFxujIhuoNcT9d3Roy9GNePZQUjYK/nkqQ5l1caJzgL7YZNaX/M5v4Yx48JwxRNE4UgRfaap55QsFS2dWkqsD2kZOk895BE9KOZ1JNCCCEFLkU/ySwEvb+IeO3aHK8dm9UtzVSpFAYIqioYOiFru0N6I58cwbRhUa+YnFmoM9sssdeRQvyjfuFB36M3ChmOA3RNRSjIhE5F8N76gMPBPcGkUog5sgxyssI8FZJU8o+u35Z7Ztkyir5+jlDA8WPSNCOMU6aL9TZO5fna8xP644A8y7lxt0d3KHt3tYqJbWn4Qcx+z+X8UoMzc7WPRbhzf28wSWUa4oeZjT1qxpamGUmWYxkq5xZqE0FWbxQgBA+I5H5Rr+tTfDJ4/d09vv3WNooieP5cm1pFcqJ0VSkMHU38IMY2NfY6nqyFY2lAPdOweHetT5plXFlp0qpZ7HRkus5c08YNUxRV7qVukFC29CLdV7DX89jrSr6CZagsTFUm/bcghIql4Rd7cb1ksNt1cf0Yy9CIk5TDvkecSsFjEMYkBXfCC1JKhkZ/JM2ozpZOnh2P8/VArkXH6/C//P5ddoq+xI3NPht7I6JYClM6fZ+l4wa64uS9efx8FEXJRMABMhUpipKJeQ48np9wYanOxt6YJM1YmKo8dJ1r1iyWZiu8v9ajVjFoF8mj7n2v6cOgbOsTw++jr+/H/dyG4/zUh/EYnxR5nhMVApBTE8mfT/hhwuvX9+j0fXRdIQgTXro0/cE/+BlC13/w+t4ZjblcebZF/PojkjM/ywjCFFXTMBBomjY5T/0i4hP79P7JP/knbGxsAPDP/tk/46233uIP//APAVhZWeGP//iPP6mn8qlCCMHVcy12Oy4CWJh+eBMoSTMcTw4ajyu5zy7UJ25UjheRCxh7MXYRWTnXLssDTpxiGTr9TEaEaqp0WekMAyxdxY9CDF1GIWpKjh/JiHVVEXhBSquqU6tY3NqUjt0IIFMYu7F0CI8L5aUiKJkqQZihF5uwZagy/kwX1MsmX3phnnrFZHPfQVFkwWIfucLkYFsaF5ea6Kokk1Z1+fxBfm+/6xI6KZWSTpJmLM/WiJMUx49llKSpFm4WOXtdl4qtk6Y5aztDmlXzoZGFD8OP3jtg7EpF6ur2kKXZKsuzVebaZS4uN9jveWiqwsJUma1DZ+JIZ+oqpZ9xIUyznLEbcTjw6I9CELJx+kED5jzPWd0eTppmd7aHNKvWqRr2MfjSiwuUrAOCMKVeNSlbOs2q+dD45E8bWwdjAJZOiYYfKUxd5dxindubA95b752KOE7xkcDQVRRRNEcFmKaGZeo0ahYlQ2XnUJJHLF1BUQX7PY80y+mNAvrjAEMTdIchji+dGtI0oz8KGLkhQydCCOnob1kaqpBxxuSSAJGmGWma0xv5hFH8ULekzf0xux2X3Y6LHyZomoIqFM7N13nx4jSGrtIfBRNXJtePJ/t/ksqI86mGzXAcEkSJTNfSVYSiEKYp002b+XYZTVXoDUPSNCeMU4IkRZAzGIcc9L3Jvia4l0aWpNAbh9zckAPWOE0JwoQfXt/nt798dnImqpZ16UQ+ClierbI0XcE0tImDxccB6dIlmxxffH6WO9tDVARTrRK6rkly2KEzGYJ+VDB0lcsrT+f0u3UwZufQBSHPhbqqTNwygImQ+BSfHColg+fOtUjSjLdvd+iPAgZOyPrOULpThilZDqomyJJHM7IVBUqmvOaLpUY62CiCPM4Io4Q4zkizjNm2zYWCqH280VarGI89Jzp+zMb+mP4oQCsGkZ+7Mo2uqXzuygxxkvGX319nabrMXKvM9TtdVmYrTDUev5f2RwFZJgdPUZxy426fq2ebaKpCs2oBgnrF4OJy4wFCtW1qmIZK2dbpjQJURWFtZ0QQpggkCfQ4eqNg0px0/ZitA4fzi3VmWqXTPf8UzwSaVYu/99oZdjoOBz0PISzSPEfXFc4t1Njr+mzuj8njx+9/qoD02JKSZ9IdO0oyhJCD4cOBTxAmzDRLNKvWhLT9OLKKF8REcUa1pD+01m5UTUZuhB8lCKT7+GAcYpnqRy5M98OErYJI7gVyoHKcmHQ/HSW6bw+MPuA9fBZxROw9wv2v+RSfbbxyYZrtfWlmoijghykiko5z7633OL9YlwkepsLFpTp7XQ9NUzhzrGfQrFp8+cV5bm8OqJQNbm1IsaiuqwydiCRjImY8HHgEkSQbHt0PQsg6QwCaJsjzwrwkTlFVFS+O6A7umSHc3XPk+UIoOIEcZB4hSu5df2GcsrEnexxZlnNne8jLjxnuHK01knh5z7zmeO9GVRT6Y5lgGkQJIzdkv+cRxSlRmsqBbi4HAUH08Oa/pio8d7bN3T2ZUnBmrvaRDBijJGP30KFsax94Tvq0sHXgTIbed3dH3NoaoCoCX0lww5iz83XiRK739wtuPuuQSZRyfwizlPXd0UTI/mmiWbPwAoc4zqiUda6ebfL8+TY/Xe0wKFyezy3WefFcm84wYPfQJctzyrZOydLZ68o6TxGCpFjsFUXeH1sHDr1RiKaq6DrMt8ucnaux3/co2xr7PY/tgzEL05XifokwDYW5VoUkkYTiRlWm/lVsnZKto2oqWZCw1/Fw3JiyrWObGqubAxpVE9OQZLvN/TEXC4LS0nSFnY47IV50CsHGUZ9ju+OwfSBThQTys9rcHzPdLJGkGTsHkhzdqtmMvWRivlIpFYQDwYl6IU5Srq918YMEXVMn9fvR/3uBFKAfDn3IZX/DLM4j67ujiZB87EZkSEf8sqVzpOdSVfFYs4g0zRh7MiFJEYIgkjOMU4LWKX4Rkec5IzdCUQTNmsUXrs7w7p3uZHbVqD5ePJ1lOeMiCaxs65xfqLNjuCRpxmyr9FAxVa1i0q7bWKbGYBySpDnX73Tpjnw29kaYhkbqxxNStW0oGKZKFGdsHTq8fHmaPJfuvfWKScXWyXNJTjsiYw/GAY2qzVTTYuyG6KpClsLYi9g+HLHXcaQANoMsydANjSzNJomKmqagpTl5KlAVhTiVhhZpJnujc21J8tZUhSTJ+MvvrfP+XUmU98OE5dkKr1yZYWtvhB+lDN2Qs7M1vCDh7u6IWtmkVbPww5jBOOTCYo23VzvsdVyEIhi7Ed/44gogiVr391AeBcPQaNdtukO5nk417I9EwPFpYXG6wuIHCBaO+l5390aszFR59bm5xz7+WcRXX5Zi6J2Oy/nF2odKGkkL4vMR/DA5UeM/que83/MYFW7QnUHAf/nRJgNHCjXWdkZ8+60dyrZBluU0qibz7fJEbBAlKWvbQ/qjkCzPWN8ZE8UJlqkx2y4z0ypxa2PAfs+jP44wDRVDU/m7N3dkvZILxn5M2ZS90bKtIwT87ZvbxcxFsHXgoCkyaUwRAtNUmWmXJuIUAYRhhG1olC1dppwnOfWqSVaQ4df3xri+rFtUVWCbCo26xVdfWuDt1S4lyyFJ5fuz23GYqtm8desQXVMmpNiSoQKCva4rxRWGRqNm0aqaGLqKF8bUNLmORnFKGMV0Bv5klmPqKgvTlUkv9LiD+OXlBp4Xs9/zqNg6pqYy8iKCKKZRNVmafrIZdJrl7HYcxm7E0oz8mZ2Ow5Xyz24cceVMk52OS57DXLv0SAPUXzRcWKwXZ2u5F7558xDHi6lXTJwgZrpV4v/021cRxTn0yIg0SeSMIE0zojjG8WMMQ6VWMjAMjQzoHSP3gpxtliwNXVUI4wRdleKqPM8xNI1q2WCn42LoKgJo1aRjsqpClgp0VaFk6pxfrJOkGZ+7PE1vGDJ0QyxbzvYOBgEvni+TZzk7hy6zrRJzU2XKtj4RW6dZTq1sPPQaODprOMVrnG6WJqYYINelMEof2bPsDn3uFGnj0037iVPz7u+1hXHK2Iu4udEnTXNJuq6dJFr/PPYcT/HZhe9HfPPHG0TFvPyN9w8olyVnLsskv262ZXFne8S5hRp/9p11HDcmTmXfbb/rFSWw7D/2xsGE97Df96iULVRFGisqQqAoCrYpxV8DJypMJnLCJEU9duuuzFW5eq7F3Z0Rmq5wZk6aVEVxSpxklC3ZY9DSjJKpc2lZ7gVpmtGsmaztjCZG0WPvpGijUbXY63kcDUsbFfPEGrDTcWTPE4jchCiSc9UcaXjjBjFBlKEI+O0vn0VVFfa6D56PDEPyI45mju26fULAAbIv4foJtqU9YMpoGdqJeX+aptzaGKBpyonE34WpCmVLlyaZxWv6WcynjlLKXV/u9Z+UkVWW5dzc7DNyIlRVmhwaujpJpD41l/z5QG/oc2tDGrerqoKuKs+ciGNh9kFuT9N49s+f/UHwwQ/6jMHQVaYLg/5nuQaIEymM/Flm4Z+YiOMrX/kKX/nKVwBotVr8h//wH7h58yZCCM6fP4+mPXtqoKeFqauPdRmJk4w3bxzQHQUYusLnLs/QrEm1paoIlgtxwdCRjtTPn2vTHQZomkqaybjPds3iKy/M8/5mj4OuR8nWSbKMiq1TLumoqkDXBLPNMnGSkgwCTF02L4Mo4ebGAF3XCKJ44sYSRRlplrI8U2Hr0EEtlLOapmLkYFkag1GApStUywatmsV0w6ZRtdg5dNnYHyOKA9Svv7pMnKT0hiF6zcbSVb77zq4kqBoq//BXL9KomCiiaFgYGhVbJ4xTWjWDmxs99nsejh/x5RcWaDUsmlWL2VZpEgOW57LgdIr3qV4xHuualWYni6kkvfd1ydJPFHJn5mpUbJ04OXIEfvrmZZrlvLfWZexFrG4NmW2VCtHLmNnW4xsV8jXmJ75+jBnrY7F96NAZ+CxMlSfuSD+PMDTlmWm+bhaEpBNK8FN8JHj+XJvbmwPevdPl659f+rSfzil+DtCo2tQrBn6QyNpaEfhhQtXWadUtPD/GtgxMXbpA/t0bW9zdGxduUWMZAa4qRFFCq2ISJJBkOe+t9yaF7cpMhbW9MQKYbZW5tNTir3+4OXHLiZKUh+kZ4iRlt+MCcj0ZexFlW2M0DtnYG7Pb9aiWDeZaJfZ7Hitz1Ylrm64rNCsW1bLJ7351iu4o4tbmAMcNyZDDv+WZ6mSPTJKMs4s1ugN/4gLVGwVUSsaJIY8Qkjw2LkieYzfk1kaf1e0+ZUtHKALblPvs9SK1YOzG2IZKY6FOZ+jLZrFg0sD5OHD8OduGzldfWqRWNiYENDi5D3/aiJOMu7sjtjsucZxy625/4ug+VbfRNYW5UxL7p4I4SXn3Tpfraz22DsfsHjoEYYphqMRxim3pmLpSpKichCLN56iWdfpDH0WhSMWRKX+GqjCKIvwgQQggySlbOu26xcJUhaXZKrWyQRglk2SdR5Enwijljff3GToRYy9iZa6KpipcO9fCMjVee36O3Y7L2LsXxZukH3wPHN0nri9dsUuWHJpeXmkw9mIuLkvByXHsdhwO+j5z7TLXzrXpDn3OLdRY3R6iCIFtavRGAWMvOkEsTO+LJsiyz849eopTPCl0TQ41dFXh7v6YrUKMedD36PRlUtYHbj8CxLH6UFWgXtaxDIWZVhnLkKk9UZLx4sUpXrk8xerWENPQuLj08CFmd+izuj2EXAqsrp1rPVALz7XL9EcBvZHsMfzXH28y1yqhqgqXV5ofqXj++P1drxh0R/JMZJnqQwcTM80SQzeCXPZlPohI9iyiZGpUSvrEIexUvPZs4auvLLC+N2LghJRMhbdXu8SJ3PSTLOOntw6ls1zFJIrkRC/LYKpZ4sWLbbrDkBfOt5lplSaDk87AZ7frkaU5tqlxXJ+QZTlzrRJpmtOo2TQqAVGSoKkKcZyg6xp5nqMqcn+N4hgh5Fn+yCU1zTIW2mXcMKFRMScuuXDy+ss/xP58fK1BUDjmJ6BK59zzi1JcsNuR6YF+mKKpgh9d3+furjynG4bK0nQZP8qwDPWxa8/zF9rMtuVz/aBE3ydBlGT85ffWGBZktc9fnflQBLlPCsc/gzjN6I4C1KIHWa8YxEkqXQqF/syZxdx/fX1WzoOL0xUG44Abd3ukGcRxxiuXp/lqeYE/+/Yd+sOAOM44M1vjd3/5PH/1+oZ0ffTl/TbVsGWfHhh7IWlWrPuWLpM240zOBgoXyXfXutIZN8/pDXy6A5/9nse5xTq6kjEYJ9IRPkqp2gZpljEzW+KF82029h26A5/+0CdMMsZuxHRT9qzTLDtRBw/HIbsdl2bNpFmzOL9YKwScOvWyQZZJYsiP3tvnWz/ZojcKyPOci0sNwkRh5MYIfJJqRrUsewdCCJZnK4yciKtnmjSqJq6fUC3pE1FFECVcX+uxvjPCD1OWZirYpnaipw9QtlQWp8oFEcQmKRonx68LTVM4u1AjTXMuFQTnIJJu349KxkzTjOvrPfwgwQ1isiynWjIwdIXnz7c/FifhU5zis4zbWwNpUIZ0+z8zV+PauRZDJ8I2tceevbMs58bdPmMvIoxlcumZudoHpmhWbB3TUHn93T12uy5v3jygWpLpHzlwcanGyJVE7d/84gp3dkeM/Zgsy6iUzEkCD8BgHLK2M6RkawhF1k+mrtGqW9IRP4jRdRUhBI4veyZOEBPE0jlYksMF9ap0Oc5zgR8kICjWTZncLMgnDulBnDDVsLAMjSzL+JsfbXD9Tpe9nleY5cmZr6mpvPb8PCMvYm17yHTL5u7uWApXk4QoTri7P4Ycvv/uPmM3mpjeRFE6EXF8WPz6ayvc2pAJApeOkc+GTzhz/aRxd1eeo1dmq5OZ+ofFa8/P8drzz8b88GlxJOT4sDB0lWbNnNzny3NVPD+ZiIJnH1F7pllOfyzNo/xQCjS9IKZWMVEVyQE4tyCvo8E45KWLbeZaZd5ePWRuqsRB3+fGxoD13SFxnOIEMoXsxYtTuH6MoamTc8mRMYUfSpFTmuXkWc7cVJkLiw1EIQr/9lvbUiwOmJpKpaxRTQ26Q58wSbF1tXh+sNPxGHsJ9bJCmuWoQiEVGXmWUy+bVMuFyHV7SF4kk6d5ThSl/OD6HoauYJsaeS4NKQdOzH/67hqHPdnjnW3a6KpCY5KmLA2xpps2lTDBMlSqJYP31nosTFdYnq2iK/CtN7YZuhGOF7M8U2amVZbGXzx49p1tlfmlFzTGTPiHUAABAABJREFUfsS7tzvkJUG1bPDatVm++soitcoH92myLOf9dcnN2Dl0mGmWaFRNso+Ip65rKmfmPrmEnmcFqqqc2AurJZ0Li3VGntxbX744TW8UTATMrZqJZVp0hx5pmnFna0Rv7BGnOcJPqNgatYLonNzXWNQ0mQQYRilpJpO21MKJfXaqhKbJa7FiawghePFSm90Dj83DMWMnYqph88LFNheWG7xzW4oJ56ZLdIbS0C6MM8pFSqaqCMI4ZWW2iqooZFk+MaIDKfx8mMnZrc0Bq1sD3lntULJ0ZlolfuvLZ6mVjBN9BMtUuXau/YCwemNvPOmnHhZzB/sJjFptU6NWNhgVZrBzrRLbBw5pMRcZORHtmoVlqgShNMebaZ0m853ik0OcSpFDWIiHDD3ltRdm2e/5skbOMv4/31wlCBJ+cuOAMI7Z60nhnKEr1Eo6YWEwl6aJTOUpbpYsV/jqhSm6I5l8X6sY7Bw4kgNRMtA1hVAR5ICmSGFCs2aRA69em8P3IxQhhZTTzRJrO0PiRBrWVMsG7YZNFKeULVkvzE+VSdOcVt0kiFIpBBVMCL5HqJUNrp1tMfZiKiUpsjwSQBwRaA96cm2sl3WunGmy13VRVIWLi3Xm29K4uVExWZypcGn5wTXnCN/44sPPxHCvLyENeQRXzjQfa4Ty//rPN9k+lByw58+3+Z1fPj/5Xr1iTl7T8d7H0+JRZ7OPE0MnnIh30zTn9taAJM3JshxVFTx3tvWZqh9O8XRI0nySYgfyc3/WEEUP8jHuT6d5FiHEZ6MH/mHwuUvTrG4NGHsR8+3yQ5P+PusI45Trd7rEhYnilTOtp5qFf2rKCSEEV65c+bT+/GcaB32XW1uDSZFtm31efW6GnUOXKMnoDDzSNOfKmebEIVNGauUMHel0szRTJWgkCFVQtXVWt0coAjoDj4GjUCnpfOW5Rf72zW1645BGxSiiSVPmClebXuFsIZOGBaoqKFsGZ+ZtkkQ6gQaF2+Vc28bUpEtEmkqxiaEp6JpCFCcc9L2JuGJ1e8iXXlzg/1iz+OnNQ97b6PHOWpcwzGg1dGolkzvbQ37180vc3OjjhTFZJhudd3dH3NzoY6gqJVtDU1S6o0CKDnJ44cIUd/dGZIWY5d07HYZOiG3qbB3Ig9CjDgUvXZziW29sF8p9m+WZRzeI0yzHCxKSNCNOsp9pKON40WT4jZBNqnrFRFHEB6rMFEWwPFNlc79IbJipPJVj4NrOkO+8tQPAO6sdfuO1M5/Koe4UJ3GUxPG4a/EUT4cXLrT5X/52lbdXOx/84FOc4gnw5Rdm+evX1ydRw3GcstdxMQwFS9OoVS1qZYP+KEBXFPZ7Pv1xOImJjpMcy1QxDY1yWcOIBG6Qcnd3hG3pWIbK1bNtZprSlWa2WWJtb1Q48ucIZDM1z3IcL+LtIvr9xYtTMtFLALmMAE3TnLKt8d56nyTL6XYd1ndSRvNysNkd+oRRQrNmUSkZ5Jl0ouiOJKH7lUtT/OUP7jJ0IgxD5YULUwD86L091nZGaKokSTpWjB8k9EYhAyekXjEI44TBWLpDIXKaNQv3YMx0owR5jq5KQWnJ0phu2QydcOKM2apZ6LrC+YW6JHKFMvb1o3b1Po5mzaLS93C8mCyXbiS7XQdDVaWzgKYw/wGpWZ8o8oy3bh0y9mIcL8Y0VC6tNJlrlWjWLBamK5Pz2Ck+WfRHIVGcoSqCPM8ZezGqEAydgCwthAc56KpsuB6HKkDTka5wqkq7YTMYh2RZzmyrTKNqs33oomkKeZYjFAWB/J31qsnSTAUBvLM/ntQXizPlwlVSOu4fEZNcPyLNZLGZI8lh339nh7duH/L3XlthaabKy5en+M5bO+Q5LM5UPjA5DqQreLXks3PoIISgVbeI4gwvSB7q+L+5P+Zbb2xBDm+vdvj1V5eZn5KiVsePT8QXK/edl9t1m8O+FJJpqvLI5MNTnOJZgGXIZMqDvsfhwKM3DBl5MdFjUnuOkGZgGdLNNcugXNJ5/sIMV8+2qZYMdjoOjh8z1y6hqZJU8OLFx7vl7B+5WyFJESM3eig5xo9SWjWL/jhg7Ea0ahamEBz2vUc2rg6K/bZeMZ44JrxsS8HakXPutXOy3n+U416zZvHihSnCKJWpnz2XOMmYaZYeGin+LEJRBFfPtBi5Ebqm/Ny8rp9nhLEUXAshxZRLM9J5zTBV3l7tSSJSDn6QsNORibCHA584TicEwPXtIdMNmzjNuLnRJ4wT7u6OKdk6jap03ouTlJm2zXSjMIlRBe2azZ2dIUma8dxKk87ALxzlVVpVg1Gx3+qqwPUiRkFCxdKplHS5HgBnZmuEBdnfD2O+eG1OikUUcWJoaZka0025Rwsh3fiOw/VjDvoyAbcz9FndHBJEMfWywdnZKvWyQcnWMXQVP0yIk6xw+1YwdJlGsNf3JqYkQZigaSotSw6UG2WT77+zS5blPH++fULopSriqXpgXhCfSO09WncOuu5EwAGSaPJpijgOeh5O4bx3XDS7MF1m5EYkaUa7bjPTsOkOAxQhhW4V2wAbskwO4550bf4soFIyaNUtesMAIWBp9tM1RxmMQ/rjAMeLWN8dEcQpdiFOurnRxw9iBk5ImGT4A5+/fXObLzw3Q61ksD7ycf2ESlmnZGokSUrJNlicqZJl0rn9wnKdNM3ZOXAJopRUkcRBL0gYexF+mGDoKmVbI4pTtvfHLMxU6TsyDbpRtViZM5lpWTSqFpoq0FWBF8RUywYrNenE7vgx/VHAK5enGYxDrt/pkuU55xdqbGY5ux2XFy60+dILC7xx8wBy6apcsgx6o4D13SEgyRbdgcf1O12qZZN62UDTFPww4eVLU1RLhkzBVBQun2myUhD6auWTBPDeKKA/CkjSlIO+SxQnvHhhukiR6eN4sh64tNJiv+eR55IUYRduvcuzVW5tyhlMs2Yy3bA/lOPbyJNCepBCljjNqJYMojijPw4/VsOJU5zis4YoTifEbpB7z5m5GiVLn8zj+qOAd9e66KrCy5encbyYkRtRKxtYpsbYi4iK5C61SAY9u1B76L105AY/8mJubw7Y73uEcUqSCnRNJY5lLzNF4dJKk6tnWpyZr5ICe10PVRW8enWGsZ+QJBllWydJpct2s2rRqpt0BgGWqbE4XaVS0qQow48RqhRnVMsGjYpBs2bi+QnTrRJhlDAcR6iKwgsXpljfHXLQ91FUKbQzdEni9gKZDqSpCr2Bx9rOEEURHPZ9pho22x2X3jhkZabCpeUGpqESJxlx8TtWt+Tjzy3UsU2N7/xUzvZ0TUEpUshUVRTJao+fXTpexOFAmuXMt8sT4WaSZux1HEqWxny7PEnh6I0Cbm8OAD5w5vpJ4r31Lj9+7wCA62td/psvn6VRfTohxykejYtLjUniTrUwbfqg2jNJUt650y3ScjKeW2lwc2tIGCY0ahaNioUXxJimRm8YULI0zi/WcYOYMJZ9hySRJM4gTAmThLDoY24fOizPVOj0XaJYii81TeHKcoPvX9+jPwyolA1mmrLvMfYihm7I4lSZt291SLOcqYbFF56b4dbGkCSTjuXz7QqKAqvbIwxdxTalAYamKox8aQxRsnVURaFVM7BNnbKt8c5qjyBK0RRYnpXi0EpNp1WzGIwD5qfKiEyKY7M8w/NkwvmZ+Rrz7TJTDZuDvsfG0EEg3+M0y9jpuAzdiFcuTrE8W2V1d4SmKli6RmZBmsozzsAJUVVBGOu8v97D0FX2ujLFYWmmyucuzzAcyxTD2VaJ3/rSWaxCALtz6JBm+SNJ7Y4f4/oxZUujZGkMnIBW3WJxpsLazpDN/fGk53KKD4ejWljXlEn/e7fjEBdJE8fnOZdWmtzZGVGypIjx2rkWt7eGk+9vHjj0RgGrWwM298f0HY8wlulQmpbL68aQ17Trh/TieJL4bekKYz/GK4RZAoWSqWDoKmGYcBA65LkgMTXOzVe5eqbNfKtCydboDgNMQ84nx27IGzcO2DxwEGQsz1YR4t7eud/zWJgqc+1cCwr+0cJ0hffXe5PXMRiHkzS/I0RxymAcstNxpYlrEFOPUu7uDHnx4rQkax+JJMP0oTXs/eYEiiLoDn2GTkTF1h9phCKE4PJKk7EnHccrto7j9088xtBVnj/XnqT0fRb2xo8bT7J2nOIksixntyv3rOmG/TOT9I9gWzKNaW1nNDFRRAjsIl3n+p0OvUFADkWfICBNMtI8Q1NlDzJMErI8p14p4XgjgkiaylRtnTMLNaplA0NTadYM1raGkz7DXMvmphORkVMyFSyTSdrCzbUub946YPtQJglfOdPENjQUIdBUhZmmxdrOiLEbszJX5dr5Kc4tJqST2jrlB+/uoyiCr768yPahw9r2kLKt8+KFKSolY/IevrfWO7EGLE1X0BRBmsPKXIXF6TLv3O5iGiqvXJ5h6ES0ijVCEYLra106A5+lmSrnF08aXBma8sh016O+hHRf1+gM/EeKODpDfyLgkM+5e0LEAZx4Tc8i7l9nR240WcvTgvj/i7A+fhB6o4DBOHzs3vNZhqbJ9WXsRui6QuUjNG77pBAF0QP/bhhC45N/Kh8prp599s7iQZRQsXU0RaDrKmGc8qzZnPdHwcRII8/lvPszJ+LY2dn5UI9fWFj4UI9fX1/nj/7oj+j3+1SrVf7kT/6EixcvPvC4Gzdu8C//5b+k0+mQZRl/8Ad/wG/+5m9+qL/1SSKMZAHvBQmaJnCDmPfv9vGDhHdWD+mPI2aaNpsHY373l89TKclIwStnWgRRgq4qqKpCrWzQrFr0RwGzzRKb+2OiJMMyVfwgYbvrEqcZjYqJ2SphakKSy1SF/jhC0wSWrjN2IjRdwdQ1qiWD3a6PbevEPRdNUWhULYRQaNVM4jhF0xScQBIrTV0lzWUBdqRGt4tNuV23qVbkYCPPIc0zFOQguVrSWZiuMN20efnyNHe2Bvyn76yx1/WIUzmEWpmtoigKaXqkKFaZbZVo1SzWdgYMxhFbBw6OF3N2voauKQyd6JGHgvmpCr/39Qv4RcSaojxaZbe2M6Q3lC6fvVHASxennlrIYegqCFAV6Y7tBgmapnBu4ckcJ+anykw1rEIp/XTPYfvg3mExz2Hn0DkVcXwGsHlwmsTxceH5822EgK0Dh/4oeGpnplOc4gh398bMtctEccpOx8VxpQAxGadcPdPAMKqcma+ytjNi+8AlSlLcgqghkE4XZVuSDn/7S+f4zlvbjP0xaQb9cUAUZxMycqNqsXUwplI2MDSFWsnAMiQpyjRU/vJ7dycu+ft9j3/49Yucna+xuT+mrOn89pfPEicpNzf7+GFCZxAQxCmWpbO5N5oQqpdnKizP1Rg4IUaxxw3GIXPtMn//q+cYezG2pWNoCm/dOuBvfrg5eT++9Pwc082SdNBLUrb2x2wfury33mev40qHWwG/8soijarJYBwSRgnnF+u06xb1sslU035gX2tU7kV+msbH72qpKtIVIoxTvvWTrYmjka4r/O++dJZSyXgq8eTHhbC4ThQhE9eOOlZCCNp161TA8Sni6Fou2RoLUxV2D11cP57c29WSjuPHaGpGfH+yhQBQ8IKUelUlinNsSyNJMsIoYzgOsUyNsqUxcEJMXaNRsajaBi9fmkZVBAd974QL21u3OkwVDcqhE/LSxSmEEJIQ3bBQBYwLYmJ3KIcY/++/vsX/5X//Amfn63K9SzJqT9hMVBTB1bNNVFWccHl+1Nl1q3CQBCCX+/XREOvsfI1bmwPiJGOu/SDxWlUE187J+1bX1M/UPfppwAtiNor3c2mm8kw3gH/R4IcJq9sDWjWL7tAniFLGXvSAu/SjIADb0GjPWChC8GuvLbM0JYcQJUuXZ4Vcuua8t97j5YtTH5gwKe/Z+L6vH/I4TYpHVEUgBJP78FGPP+h7rO+MAJkaoCrKE6dkXFhqsDSboiriAYe9h8E2NemSuTWgW9T03aGs6X9e4rwVRfxcpoz8PCLPc95f6xEWCs4bG312imGeP5CCXF1TEEISc479JF6QYJkaWQ6HQ39yPXf6Hj96f588l/ee60dUyzppppMkOWfna9QqJrqq8OffW2evKwkQaZrzf/s/f5GDfshMq8xfvX6X4TgkzzO2Oy5JktE2dFRFpjacm5MDzVzA4lRFGpzoKht7Y6olA6HAymz1RA/u3EKdhenKA/drnKS8t96bnFXevHUwIYJuHzqyf1gyCKOUWxsDwkIA4ocp000LL0wxNQVxbM9XFcErl6dQVeli/RffXaM/lr9zr+PyD37lAtrP4K6VpBnvr/cna7IfJhOn0LKtT0T0AGXrZPv9oO9x2PexDJUz87UnWrueFgc9j/Xde+vrlTPNST1VsnRevjw9SYLL8xzXT9A0OfA+jkclEXyWcXGpQfgh9oePC44fc3OzT28Y0Bn4+GEiCXY1QAi6gwA/SvCChDBMEYpg5ITc3R1za7NH35H7ta5J4lDZbuGFMUvTFS4uN5lvlynbGt/8yRbNmkXZ1jENhf4oRNNUdFXBFzmKImSan5AEKD9MUIRCEGaIKliGSrNq065bvP7uHluHDlGSMRhHVMsmjYpFowKXlhv0RoE0FBIwGAdsd1UuLRkkaYbjxzx/vs25hXrhdC/Pnl4QMxxHE5J234kwDZVw6LM0XeGVS9O06iZn5+XaIhM/8sdee2EkRXAjNyKMUnRdIculaO2ojtc1FS+IuXm3R5TknFuoTQgE9YrJK5enP/DvPArHf0bTlKJue/B7pzjFs4idQ4d+QSpZnq1+YCKTqiooipjs5cZ9s7IoyfirH25M3C63Dp2JcVVn4LM8V5kkfeV5Ppm1DR4hiLq7O6IzkCSoO9sDhm6I58fUSiamoWIaCq89P0sQZzhuhK6p7Bx6XDnT4rUX5jE0BcvQSDO5ZpjFGWbkRkRJiqlprMxW5bpciN1Wt0YIIItyDF2hisFU3ebiVxoszpQJo5TvvrXDxt6YoRvRHQVM1S0p8spy4jQDcubaJQ56PqJwIb+1NWL30CUjJ80zOkOfWlmnqZg8d7bF115eoFIy+ckNKVCYaZawDWkuc3TOOr9Yx/XjwjgELp9p4gcxQhGcm394yqLjRaztDLm9PWSqZmEaUuh3lLZ8e3MwcRwfjENeKvpL/SL9EOQsceCEnwki1vEZZ5pKguSpiOOjhxDihBj6SWrP/b7PTMPGVCV3QCgKv/1LZ8mFJJQnScZuzy1Sd3W8IOG99R4rc1U298bomkKrVub9u31yMrIsRyvWJEUI7u6NUVWV5dkKSzNVfuWVRa6v9xiOpVjV86XYa7pZojeS57GdjkOzZmCZBmVLoWIZfOWlBX703r4UvHYdojhl7McogaBkaQgh0yKOqAOmrrI0U8HQVZIkI0lLXF5p0en79JwIvUjF0DWVF863JoT0tZ3h5N7SVFEkDTZw/Zi9rsvd3RF5ltOqW9TLGn/35i5xmtMbhbh+zNc+v0yjYiKEwDQUwlhQsvSCMyG5GDuHLntdlzhJWdsdUTJ16pUuz59r8/z5NmkhBHYDSTi9vTWYuGYfv9+PwyjOOgJpJGqZkrB+0PcmJpEbe2PI8w80CDnFPUTxyVo4jFKEEHQGcg51f7/KMjT+/lfO4QZyNqerAk0dk6QZaZrxzu0OAydg66CYPUTS2OWoPK1XDJbnqlxcavL+Wom3V7uM/QCynDiDsRchiqJBVaRx3FyzJJM/bJ2hE9IbBpxfqMp7UVMxDZ0k9SGSs1HLVNjrStMHIeQ9/n/9P7zC2A3469c3yXPZU8iynFeuTE/694auTOpQ5SE1nKoIFEVgFXPBo3WgbMt6w9BPPv5h5/Hzi3Vubw5Is5ylmQp+kLBaiGA6A18maDxCiK0oJ9e/ldkqYZQSFmT8o+/9IvXjnmTtOMVJ3N0bTebM3WHAixenPpLaUVEUvnhtjisrTVQBJdvgYOAxdmMp8i2SMkCuBY6fkAsp1gqTVIoSqzI9w9YVDornJADT0PjtL52ZcAL+49/dJk4zNE2arDheTNlWC66ahuOn1Atq0+rOkOvr/UkCTpyk/MYXV0jSDFVR6A5D3CK5brvjcNj3JqZxWZZTtg2+cHWm6F0kfPPHm5PfFcYpX3phfvIe3L8GzE2VmW2VZH9UE2QpXFhqTvbxqYY0q7BNDcePePt2F5B7ma4pH5gIeISjvgRIwcLjOHZlQ52Y/Alg6jOc2LN96ExEBk9SDx6hXjGZaZXoDHzMgr95ZAQET89n/HnC0Aknovij/f5ZE3IcGSdouuSkHPWWnyXMNB/cr2frPwe8zGcviIPNfQfLuGfcu1PMg54l3L+2Pe3e/rGKOL7xjW98KPei995770P9/n/+z/85//gf/2N+7/d+j7/4i7/gj//4j/n3//7fn3iM7/v8/u//Pn/yJ3/Cq6++SpIkjEajD/V3ngRDR0btZpl0k5tqPP0FVbI08uI/XpCyczCmO/CZmyrj+DL94WjA2hsF7HU9Bk6IVxTbUZRKJb2pcn6xIcl8inTPEoqgbBrkwMiRDuBBmNIfSQeIC0tV/uuPtwnjhDSDYZ4RpxlCFagKzE+VuLvvsLk/oj8OUQQkGVRKGpauEsYZez2HziDkoOdRKuKMXT/i3Ts9dE3hH/3aRYIo4fbmgOt3utzZGpJmMno0jGPKVoWvvyIFPbqm0qyqfOG5Of6Xb60SRAlxmpHnOUmSMT9lk6QZd/dGJGnK2I04v1SfRMVZuso4j4qhjULJ0vjRe3vc3hpimxq/8sriCfK2YWgYT+Do7R5z/03TnCBKn1rEYZsa5xfq7Pc8hIBq2UTwoKvw4/Ckf/ug77G176AqgnOLdbwg4j986w47hw6KAheX5MC5dUpo/9QRRAmHfXmgfdIi4RRPjmrJ4Nx8nTs7Q95Z7fK1zz1dhPQpTnGEIE7YOXQJYpmqkeUZmQeKKkgSSbL60XsHiFwQxSkHvQhDk44t9bLJ6vYQ14+5stLga68s8d2f7jB2Y5I0o1LSUTXBdMPmrVsd3r/bZ7ZdQtcUKiWTg4FPmuVUQo2fvH/A+xvSsUYRgkZoEkQJM80SM80SXpDwrZ9scdCXztNhlJLlOY2KCbl0nmvVpPtmnKTMT5XZOnD4wfV9bEPl115dkr9bUahXTLb2x/zg3V3evLnHrc0RcZJjGAqL7TLPnW/j+DGKEGzsjXnzZoeRF5Ln0OpZVEsG/QsBF5carG0PcYKYxZkK0w0p3ji3UEPXVFbmqnQGPpapfej1MMtykjQryG9P1zwUQmAZGtfXukUkakrF1nG9iIXpKr/6haWPNQ3kSZBmOatbA/qjgDzPmW3LYj/LZKpJo2o+c8XOzxsaVZOl2QqKIqQYqlWiM5QCqjTLGThyQBJED1bXcUox7AcvlA0dRYChwyBKeTeIJq6MIBurBwOfpdl7CW0l6x6ZMCscvY8QRilJmqNrgnbd5rVrc7x/t4cXJAUJQJEEq0TWDIoQ3N6SIorpls3q5pC9rkurZvH1zz/6fhBCcGGxjqoI/DChVbceOdRo1WwZf17g+PVbsnRevvT4YeDRfftB2Nwfc9D3MHSVS0sNmVz0CMRJiiLEB5LcP2u4tTE4QQ7+3OWZJ264nuKTR38csL4zIgfCKOabP95mv++hAL1RKFM1nrAJpyrghTFRR9bP3/7JDl96YU5e78vNiYHD6taA7Y7L6taAb7y6/Nj94sxcjTzPCaP0sekVF5carO+NKNs6izNHKWDSqOFhcP34xNeOH32ooefTNMTc4N7fzLJ84h52ilN83IiSjL/9ySaHA59m1aRaloIKkCYhb908IEpzbEOlVdMZOolM3J2tkCQZQZRQMnSmFm36ToimSqLizY0+cZKhKjlxKpP6jnqBqqLI1JmWLZPzCuLiXtdh4ISkaY4icr71xi5jL6JeMXlupcm3f7pDkmYsz1TY73n4QYKhK2jAtiPvoXpV56e3O/hhStnWyLIc01ARwN6hgx9lDJyAhakyX3tl8aH3qx+mJ8Smvi8TfaM4pVExWd8d0B1GmIbC56/MALImaNUsvvTCPId9n0rJYKZh8x+/fYc4zvjKywuU7XvrSN8JyXKZQjb2Qv7dn1+nNwqYbtp88doM76xKF80vXpudkMgfhzBKORx4dIcBqiJYnqtyGdlTa9YsXrs2x82NPpah8aUX5iY/5/jxRLTm+jFCiAcc/j5KHF/rjv7m/SkkanFmurDUYLfjoqmCpdkqu4cuQZRI99dnVAT6WSDSr24NuL05oFcIMlVFoCmC3Y7LXtcjSTJKJZ20SG/QdcF8uySHoKlM1MiynE6aoWwOmG1XSLOMWtnioOfxo/f2sUyNg54kPERJRqNiEIQxeSTPr7qqoakC8pzF2Srn5+uYhiQqgDQ2atZMmlWLhanSJKEToGSpVGwdRcjEmqmGzdbBmCTJUIqU0bWdEW/fliJxRYFWbY6SddI1d7fjcm6hjhtE3NoYkmaSVCkQbOxLksTZhRrnFupMNaRbdm/o8Tc/2mC/5zE/VeY3XztDs2Zxe6vP3/5km72ei6GpZHnOfs/joOexfeBSsXWunW9P6oFqyeALz81x0PPYOnDY73qcX6pTLRloqsJRWz2KUv6/37rN9sGYdt3mv/v1SzKR5hEoWTpnF2oc9DwuLjcQQJzIZJvj99kpTvFpI00zbm8NGBepdxcWG4+tCbtDn62CEO/6ceEMXmZ9d1Q4p2oszVS4uzcmOhYlmqYZvVFAGKeszFaJ4nRyvna9aCLggEK4cSx9PIozLi41WN0a4AYxM01Zkzyq3nD9mCzL2ek4HA58+fvjjBEhdV9nrwdz7QqqUEiOGWW4fnyit3h8H1yaqZCkGbWyjhvE7Hdckixnu+Nwdq4uz0xZRq1ssDBVZqfjkGVZIchUef3WPp1hQKNIMxuMQ1660Ga359MfBURJSr1kSPfhI9O7FBDQGfl4fkLFkqZ3lZLBwnSFLJdnxyMh3tr2kCyXbtfVksH63oiKpfONV5f56e0Ojhdxdr5GnGR896e7qIpg5hg57KiPG6c5tqlSNnW++9YO/ZF01P+tL53h3EKdzf0R//6vbhDGGWfmq7x0cYo4TlFNjbKtT8TDAOWnEHDIa8nHMjQuLjc+kv26UTUnpGGE7Cud4pPD4/prU3WL20JQr5ogBDNNmzMLNVxfpvGohsLZuTphlGCecGr2WdsZThIFwiSTP1uzUBWBXpA1dw5dWjUTN0h4b73Ljbs9tg4cmdhZM6iXLJwgZhrZa+gMfHkGS6GqCVRFpV42adSkAdJ632NtZ0QYSxGXrirUSjWW56tUbI3phs1+32P30ONw4FM2VXa6Hpoi0DSFly5OcWOzj+NFmKaGrgrWdkaoqkKrZjE/ZcO+7NcszVRp1200VeF7b+/w3bd32eu61MsmSzNVfnJjzNAJKVmGTBLL4Y0bB9zY6GPqMlHBMjVmWxY/vL4P5KiKwmxTJuxt7svXQTVHCOkAvjRTJUlhY39MmuWszCUnejJxkhHF6QOO+papcWGxzl5XJkacna+hqsqEfHiEziDgk0Ke59zZHtIfh5QtnYvLDfSfQaj/acAPJRegPw6laEEwESnAg/2qLMtZ3xtNxJYL05KkvH/g8D/99Q32+55M1TA1vFAmbucU/02keeTIi/nbN7Zw/YQsk2Iiy1BJ04Q4Kf6wyFFERpplWLoAVDRFkGcQZglBlGIZKsuzNXY6LiMvIkulOOjScoO8GD74QUJXhPRHAWkqr88j9Mbhif79peUmd3dHE4HFAyKO4nfrqlLcbyrnFuuTevrMfI0857E1bLVk8LkrM5OvjzviQ9GfbD7ZZ2eZGi9efLTb9bff2mbrwKFq63z980vPbE39ODzJ2nGKk3D8+/rRQfKRnINURZo+bO6PUYSgXjG4sdFnr+dhagoXl2p0BgHdoU+rahFHJht+QpZnmJqGAgxd2TczmjYlU6cXJQghqFWMCScAQAUcLyaMU0qWRhQnOEECuRT4fvftXe7u3ATg/FKNKMkKYbSgXtF569Yhm/tj2g2bxabFWzcPCeOUetnk5YtTExFHnGZ0Bj6HA19y5xTB1v6YgSMTwCxTBe6JOFbmTq4BYyfkr354lzSFzz83w8bBWCb+qQovnG9xYUnWRIoiOOif3Ls6A/+xfISjvdg2NC4u12nWilQxQ33s2dgwNK6eafLOahdFVXjx/BQbeyMOC8HDxeXGiXXxiFN5XCz2UXFSH4fDvscPr+/h+gm2qZKkKUEke9KtmjURfT8KZ+drnJ2XhtV5LhNdxm5EtWxM6rxfZDw4C4uZecRjP6sIo5S5domqL83RbfPTF/V/WOx0/Af+3cHIZcX6+Pr0nwR6bvjBD/qMoVrW6dzyiYtQgmfRgLtVkwmF/VHw2Fn4B+FjPUX9q3/1r56aMPdB6Ha7XL9+nX/7b/8tAL/1W7/Fv/gX/4KtrS2WlpYmj/uzP/szXnnlFV599VUANE2j1Wo99d/N8xzP8x749+/d6U6IU++t+bx8sf3ULl9xFHJmrsxgHMoYW01AnrK5N6BiKYRRTpYm6KqKH/jsHnoM3ZCDfkizZjD2YkqmxsJUmeurISvTFmPHZ7Zt4QcxqpqjKAqvXm3zrZ9sM4xi4iiDPOP9u30qJZ1wkOAH0UTJWrV1qmWd99e77PUcVCFIs5wMGYUahKCKDE2BqNjADV3BcXPevLFPlGQIcixD4e/e3MY2BIcDn+2DEV4go1cVVbAwVeHa2QZbByPOqifZKbomJsr8NMtRVUjSlJmGRW8csLWfMt8u8cZ7LrWyThgmlExBvaxiaTn1suC9O/u8dbuLoan4fsjfvbHBb3zx3vUydCIcP6Ziqzh+QrtmPUDmcvyYNI0Iw6KSFTAcOeSp8dSfecmAlWmTt2475DlEIXzvpyMuLdWZbdmPTQV5UsRJxo317oS0d/1OwLt3ehx2XVQhB7tZlvDKpSmm69pDr/NTfHLY7bjkOVRL+lPFLJ3ig/HCxTZ3doa8vdo5FXGc4mfGYdcjThOONs4shUzLUXLwwoS9nsvSdJWhExJEKQvTZYZOyGyrTBAlrMxUqFctSqbKD97ekc6cihwiZBmcna+ysSdFeCVTY7/rsTJbZexFnFuok+c5IyciihOCMCWKE0qmTpLmE/e7sRfx+rt7dIe+jDp3QmoVi/l2mTjJWJqpEcYDKrYuEyguTUsShgBBTpbn7Bx6XDsnnWddP5bEriTjsB/hh5IgEkQp7232+CfNazIatuPSHfhkQBAmhJFsxgycgL1OEXVes2jWLNI8p14xmWrYE4HiXLs8ado8DnEik7pKloauyai9I2dj21RZnKli6upkAJwkGft9D6toqoRxSuUxyRrrxfAmiTPcwGfkRShdjzdvHp5w+/hZECUZB12XSkn/UG5x+12XwThECMGllSauF9Nu2Lx0cernsjn8rGJhqoIXJFw906Js6Vj7IzngyOT95YYJQkyWkcciyyGIQFelWMf1peArTUFTZVNtbVdes6YuiVeXlhsToqGmCg77fhGtXDsx4Lq80pw4Sf/PiuBOIaYol3SmmmXubA0IwpQ8z/m7n8iBT8nSOez7vHXzkF96zP2gqgoXlhof+PqunG2SZBkHfY+FdoWz81W2Dx1MXWGq8dE4kux3Xe5sS2G3nyas7424eubhdeLd3dFEcH1hqfHMCJ7zPCdMjpNqctIsQ1E+fULjKR5Enuesbg3JspwoTvje27ts7A1Jc8HYDTEM9UOZqGQZQE6WJQihsNd3+fH7B5NkTE0TdAYBG/tjNFWKq15/d5//5itnH/k7dU3h0vIHTzMtU3vk/fQwNCrmxIUMwSdCfKxXTIJQ1ry6pjySIPZRIc1ySeLQ1ccKxk7x8493Vzts7I/xgwQ/TGiGKYtFU3dtZ0hUrNtekGHokjSpqAq1ksaZuTqOH9OqWTh+zLmi57rXdRi6EZCTZJKIrOsaWZoTxxnoUrzQHwfsdV10TcUyVbYPPDw/Ictztg8SKraBpimEUUZ36E9Ek2+vHqKpyiRRwvHiSf+rMwiolQ1URf7dtZ0RK3MVhBD88PoBrYZJEEnx+EyrRK1sPrCfy/O7Mumrpnk+EXV0hv4kuSxNJElnvl3GDyVB9PmzLbbLLq26zXff3pkQQve6Lo4XTc7CduEwSw5xkqAoClmWs7nvsL47ngwRv/f27iT5F+Q5a7/noakK04UD6XAcUrY1BuNQnuOyHMc9OYA7fp46juNkV5BDr8fB9WPSLKda0p+qx14/tr4KAbXHrK+tmnXijHNxufGh/94pTsLxY8ZuRJrmDN0Ix4s5M1dl4ITESYYXJMRZRpAkJGlOtayja4qst4Noch8IId3tozRj7IXkQNlUeedOlzTLqKYGtzaHk5TmoRNRtg0UBcZ+jG1orMzVMFSZdGUYCpqmcGGxgVkMx1QBc1MVdFXBshRUARlQsnWunWvTrJqMC1OjZs1kv+9xeOiSpHIOkGVSfPbWzUMuLTdP7OVDJywERAaXllskSc6Nu338SArIwjihWpLE5W+9scNr12apVwzeuHkgHZ2BrX2H16/v8WuvrvDNH2+y1/Uhz+k4co0YOhGGrtAdBtzc6HF2oXbCGX4wDvjxjX3Icyq2wZ3t4QPC8B++t8fdIrlmv+fxzR9v8Tu/fP6xn/GRYcYpTvFZxm7XZVi4JPdHIQcl77F9tvD+vSpO6Y2CyX7ieDE/em+fim0QRAkbe2OWZ6ukqVzXlmerJGnO5v54Uv9XSwaVko5TrCPLM9V7tuDiXvLuq9fmuLAU0B1Jscj8Q56nHyaoiqA7kkP+kROhqQq2oZFk8h5P0ox3Vju8+twctYo8C7hBjK4KoiiZGLlFScb2wRhFwMJ0lcWZCouHFfqjUM4/Myk23dgfoQjpdh+EKUMn4sqZFgjY77nSaVZTCcKE7jBhqmEz3ShRtjVUVRJyLUvDtnRsSytM3OT/CAG7HYdayWR+qszIbdxzGzc1EIL9rkt34GGaaiHyk87fR+ee7jDgyy/OE0Ypmir4D99aleLVLOeNm4ecna/jBTHf+skWfpQQxxk3+h5zTZvOwCdJZfLSj64f8OtfPMNffO8uSZrhBzFv3jxEFYIzczVmWiVsU2OuXaI3DGSSSSzFhk9qFtEfBxwUbryuH7O5P+biE/SJPgifvzKDqigMnJCz87XHuiCf4mfD2IsQQkwSn8deNHGgduKId+90ef58e1L3XlxuEiXyTP3qtRLPnW0DcgZ6dP2VLJ25dnmSnGfoCm/cOKQ38Hj/bg+BwLY0HC/mH3ztHJWSyWgccXu7z9iNSBIZNSBETmcQEscpUZoRBClTNYVmYRIRRSl+lNCsmhwOfLI0I81yvChBdUNGbkTZ1gnihCyVXIoozzizUOWF8zOUbY2xGxGEKY2awc6hS3eQMHJjFBUqtsG33thCU1QMXUMguLHRx/HlzGLkhux2xzJ1QFXIMpmw3KxafP+dPYIwQRGCztAjSTPadUs6/UcJM02ZmPbOaocozqhXLCq2xtJslfXdESPPxdQVkizBCxO8MCZHrnNZJmuBC4sNppo27611mWpI8cjOoYttyd4ogGWqjyQUt+v2A8Yf81Nlfnq7M+lnL858cg7GkpAsibdjL2L70JmQRp8VCCG5KVmWE2Upjhcx12qwd6xfJYR0d6/YOp2hT28YsH3gkGY5O+S4Xsy7a9JYQQhRzOASFBRSJUMUQg4hZH3bGfgcD/mN0xzChKx4jEAmbh7Vn66f0qxpRElGLmCuVSaKM25uDplqlDA0QclQCWPoDgLGXsjVsy1urPdQLI0rKw32ux5LM2W0IrkXeGCPt02Nq2cf30usV0xevjzNy5dPnuOzTBrpLUyXP1Q6VL1ssH0sRbPxEfUj72wPJ+YN/XHIT24c8CufW/qAn3r2UK+Y9Ip78GFrx/0z21PIa8wP5HqrfcT96FrZYGWuihCCbt9j59AhSlKiSLDT9fj8lRmGTkS9YvCdt7ZRFQ+BgiIgjGUPMs/BcUPiNMU0pLgjSTKiKOGg71MtG6iqipw5SOMoP8wQRSyl48t0m6OvV7eGXF2pkyQZuqqiaapM+yvSdn94oyO5d5kUjXVHAZ2BRxhnTNVN+mNpPAMQ+jH9opcSJ9mkvjmCrilMNSwcL6ZZs/jbN7akOXYG79zaZ+Am5LnkN9y428MyNUZOhG1pJ3gBQvBY8u1h35vsxX6QcHNDCqxLloahqTRrj15HkixnYbrKwrQ8w3thPBEhe6msq473Ejf2xnjF9bLX9bi7P8Ys7qW1nSGNqvmxJM/udt1J3eYFCT+93Z30rg/7PvWK+cQzUlHUEae4h1rFRBw6k7PTs5jg1K7b1MpGYRD55Mk1nyVkxoPT1tTrA8+2iGPjmEHms4JWkSy933NZnil/6ua5T4vF6cpkrXxafKyv/Pd+7/c+tt+9u7vLzMwMmiZfghCC+fl5dnd3T4g4bt++jWma/NN/+k/Z29vjypUr/NEf/dFTCzniOH5oYsj6jl+QJCT0+HASlXmEJM0Z+7KJVrUffVBN0pxxPyQKUkI3wVU8TF0QJjnLbZ2mkRFnMfNVg9u37/D+lk8QZYz9jJmGRpqCoQlSX0dRBPqCRV1LuTqTMVfWGbkxcy2DaLTD3d0+Yy8jzXMMJSJIZEE/9hKSY68nDHySJMT3PYZOgqYIjo4DQiQYSka/3yFPYuIkJE0zwixDKDAYZLiRFF70hwplW+Gd9wK2uzG7nZA0SdF0QRzn7Oz3SMIxM3Wdg13rxPvULkXULHD8FBT4/7P3Z0GSpeldN/g7++L7FntERkZmVlZmZVV1dbfUC62tBfqkQYKGMYPvmwt0wQdcMFeDDWaYrmQYmIG4AI1xgY1hNgP2DUjGGIwEAkkgIfWiXqu61twzY988fHc/+znvXLwnPCMys6qy9sru+JuVdWdEuIeH+znv+7zP81+Gowme72Mim8cjQ6FzpOIFKfN1E0WVA62Bl9Bpw939AAXojhJmqgaOqeKPVa4X5TBovxfx1pZPEGZ0xglzVQPLUPnsRZdiPqg+6Mf0xzLS+diZYOinbG1KkclKy5LOZu8DaSbY3JUHnb1+RLuf8Np1jVpR5zNr7gcWcsSJYGv/gYpYVRU2dzyOhlIZrapgoxGPIq5f3/1Av+sMHxxbB/K6XJopfWRiuB93XFtr8jt/eo/X7x590i/lDD8C8MNEkmPzOWcmQKQZiapw2POZ+AmmrknXW0ujWpCDzs5AukiMJxG9cchwHNEdBnh+gq6raKpKuWCgqhpbByPW9+TaYJsqzYrN6kIJP5BJVKapoapyKNEfCWxLY67uIkA6fw4D1vcGhFGGZap4YcxgLJ0PLixW+MwzLX7u80v0RyGubfDMSo2bG11GXkSSCpIsYeSFRHHKW/c7RLEcdFaLFoqK7O4qoKFMo4znGgVMXcW0dCaedAF2LIVW1aY/DnnrfhdFVVhoFVmeLbF9MMLzY/Y6E9YWKk/sIhGEiUzJSDM0TeHKap12z58Onu9sD9hpT6Yq6Nmayx9+d5POwJfkubLFymwZx9a5ulp/rNO+aWgYqkqiZpApdAcBUSxYbL27wORJEEUJ//XbG4wmESjwxWtz04Ssd0N6wrm46JhcWq49lQfmHwccE7EWZor4YczFxSojP8oHL/Ced3xFEMQCBUmkMHWVJFMZDEMMXef1O0dcPlej5JrUSjaqonBrs8db97tsHYyol6z8MNx47NP/1Z+9wHfe2scPEj5/ZQbH1MgygRCC3dw9OAhT6mVBqWBOE0M+DDy31uA5GmRZxh9+d3NKGHnxUpPnL75zEse7YetgxJ3tPjuHY0quyXyzMG0GPww/TKZxv0LA5v7wqRFxKIpMcTp+76ol62xg8inGYCxdry1TY/twTLsfEEQpYSzJkWGcvqco3Awp5NBUQGRMvIStwxFff2WHzz07y0KrQJIKygUT15YO20n6zmTijwq1ss3lczUmfky5YH4sAsSV2RKuZRCn6dT58qNCmma8td6VQzoFLixWzhKyfozRHQbc3uxLcxJV4ed/YpmVOVm32ZYGQiFDoCqy72aZOooCqqKytlidPs9M3aY/inBMg9fvtbl+v4umSEf5+UaBKMmwDI39zoTDrkcqBI7QeONuBz0nggRRTJSmiEwOXA67E4Sioqsq9YrJcBKSCbANg4tLVYJQGra8da9DdJwApijUyzYCBVVRiOJk6r469iM6I3+6FgVRMnW1v3ahwWeekT5juqZyda1BZ+BjaBo/uHHAcBLK2kiV54ssEyiqwsSP+f71Q+m835nwrTd2CcIUVZGkj6kQWjAVhQAszxQRuSnMXmfEbtvPf0zg+cl0OFkrW2SZ7JEB/M+Xt9ltS1Jas+Y8cBDVZCpBFGdoqkKz+mS1QblgyoSzKAWFU+7YD2O3PZ46oVdL1mNFIe+G+sn1tWhNyXZn+HiQpvL6UJDkVtfWpSOkF9Hu+3hhTCbk/Z6mAsfSEZl0KCy6JgVHkqV0VcEwNOplG1PX8MKYjcMRg1GIqWtYup6nO5sIIQhUhfmmNGsYe1IIdNj1yDLBdntClmXUyw6r80XKBZPNfUkCe+ZclcsrNcgUbMtg5EUcdDxeuXVIrWTzmUstikWDV29M0BSV7tDHC2KiWDD2AukYnwrubfd46VmZQLPTHrN1MOJo4IOQwizb1HBsDdPUKNq6JJWpknx3e6snTahUBfOEC/FxKvf2wZDDrs9wIkUbuiZJJ9WiRSakgZSiqqeSy/aOJvzZ6zu8fLONEDBXd3n2/KOzoeNk72NEySdTF53hDB82TvaMHvfvh1Ev2ewfeXhBjBdKQuTDj0mS3MQme/C/mZD/Pe736LrKL3xhldtbPQxd5ZnlGn6UTNe7kyZWx0Yvj0O753N/bwACugMfQ1MxDJXRJEK1Fdm/FIIUCHIX/a+8uMj19Q53t/vYps7GwYhf/NIqqqryu396l3s7A4QQrC5UWGwV6I8iDE1lnJNeETIpxLZk8k+aZhzzvLJM0BsEdIYhtqlRLdtoWsTVtTqztQJjP+LiUh0viFGQbur39oYkqSATYKiCmZpL0TFZni2haypXztdwbYMoF0d869Vdbmx0ieOMUsHk88/OEkTJKQOQwTjk9Tsy/RhF8NqdI4YTSWzr9GUK8mAU5uI/wcSXxnoTPyaKEwSyTvNDWQ/FqUxrHvvSHbpRtVnfG+bpBRntvkwq8PwY29L5qZcWefFi64mEHNlD19LD/36/UFX1lLv6GT4a3NnuTwm7880Cy7Ol6WeYZhmbByM0RSUTgovLVWp5bX71fIOr50/3Hm1Tk+7cUULBkelW1VFEnKY0Kw5/+N0N9joTJoE0vXEsnUwIlmbK2IbO//HfbjCcRKSZYL7u8PzFFgc9j4Ouj6ar1IoWjq1z7UKTZ1bquSA1ZDAJCaKMKE5wbNkTPOh4fCdPiNFUNRdZqdIIRYH1vRGWYfC//cJltg5G+LmwYrc9mQpzM5Fx1AsAQSYUyq6ObUnhVrlg0B+H7B5OSNKUMJHpBpZlMlMv4kdp3pNQSNKMKBaMvAjL1HnhQovdzpgvXZtnZbHEf/rje1NheBRbZELWOoNxSLNi06rYTPyYnXZAnGSkcYpjazx/ocnl1Rq2KcXoJ12gl1pF+bOZoFl13lOCb7Pq8gtfOMf24Zh62ebcxyiiSLPTtVv6IfalPy4oisJybtamqQqtmsvKnBQjR0lKkmTcWJepkeWCSSUXJqZCJtBvH44ZuhHruyMmQUyaygRfy1BlgZ1AlL9PMt3p8a8jzqS4UFGkiAoU4jgjijPGIiHJMmplGwWF9sBn4kfc3x1ye7OHrikc9X0Gk4hMwPevH/LTn1miUbaJ44yFfH5mWwa/+MVz3N8dUioYTzz7ejdkmRSIjzy57y20CuiaimW8u5Nz0TW5ulqfCrg+LFOZ+OFzRfz0XZtPgrWFCmXXfOza4QUx19e7pKmQPZ/z9TNTG2B5toRj6URJSr1sf6jpQSf36CTNUBSFJJHGyHEi6I+kSLk3CmWak62TphlFxyCKEkZ5moZlytSdKE5l2mSa8Z+/tS6TNBXoDf2puCKKM1RFCoczQI4hZP8O5Gyi4BjEmUy4NzSFOHlQ+wmFXMAhMIDN/TE7h7IHVy/LpNCRJwWOfhhx2LcYjEMMTZ2uh8e4vzvgm6/tgpAC8jfuHnHYO04YNXj2XJUklb0ZRYHvv3UwTd368vML/Mxnlzjq+yy0iu8oBo6SlKNBMH1/1Lw/GORGl++UrGIZGtWSRT8XrTbKDn74YGF+tzo5TTKOo0SFyFMuPgKUXJM0y/DDBMvQcazTf9PbzVLP8GQoOgZXzjcYjsMPde/5OGHmHCYviDEMlYr79P0Nh9uPJlbshXD+E3gtHyY05enrZd7c7PHyzQPSVHDY87h2sfmRJQ192vGJVEphGDIYDKhUKljW+7+ZHyY2P26TSpKEb3zjG/z2b/82MzMz/PN//s/59V//df7Fv/gX7+t3GobBxYsXH/l6Y85n63AMAmZqDsuzp9U1SZrx1noPS5dFernhTkl/QggOezJSvV62KLkmV5KMsR+z3/WY+LJBsTpfOkUYOswblna3j2qkZFqMW3RwLJ2ZmkPRNViZLdIo2xz2fHmoPxghzJBCxWXoh6CMKRUUsiwjSBXmWy47hxMycfoUF2cqmmJQcG3GvodQwDLTPIpYZ2m2yl/4c5f4d394B01LUVXpkieEwHFdvDREESlC0WjVS6ycWyJShziFiOsbPXRdRTcFays1vCDBdF00t0Sp7rCUuzaMxQGj+JDdI6n8nG04eEFK19dYmilyYaHE7pFHqaLh2DqVokWjYjOcRGzsD3GcCSVXRzFCUBVmZ0t84ers9LPa+d42zUbAztEEoQREwqTsOmhugyuXW1LFf+uI0okzZTkXxRxjfq74gRaTamvMQddne3DA0pyGa+t4QUJqzbCyUKJ0gszSHQbc3hpgGRrX1uroT1DkV1sj2v0AFFiZLWIX23zrjQOyDKpFky985hlaZxFm74jHibg+ChwP6pc+RteSHzdcu9BAUeR73RsF04byGc7wfmAYOqmQhMljCAFZ3sR3DI31/QFFx2SpVcR1TJqZ4NnVOq/eajP2YqI4I8kki7vkGvSGIYarUnRNFhoumqZIdzMhKDg2s40izZrLt1/fm37vznafiR9TLdpomoKuS4e5g65HbxRQckx6oxGqojPy5CBu5MUc9X1eujzDjfUOL988pOSarMyUqJYtNE2lP/bRVZWdgxH//g9vMlN1qFccFppF3lrvYOjSPUpRFDRN4bnzMkb45nqP3c4Y19KI40y63wk5BM0yQa0k0zf22uM89SN38RLS+fJJ99R27toFsnnQ7vtTNnwUp0z8GDcXZO53JtKxb5A7CPoRXhCzMlvGDxKGk+ixzd1nVqq8cqsNCDIdbNNA1yRB+u1w2PPyz8OiVrYRQnDQ9fBDGTlaKVpkmWC/O+H+zoBO35fR2AJubfafuJE9U3fp5C7FSSZY3xuw2x7z/MXW9O8+w6cDC82CHCik8MKlFo6l88c/2JbNbJVTIuongcjkWqOqUqCradKtUSBAZNzfGTCchMw3Cggh3R2jJGO/M8bQpQPv9uGYIEoe62ygaRpffn4RL4g57PmM/ZSFZoEbG10mfszyXIn9owljP6ZZc7i2Jgeyg3FIdxjg2sYHdj/sDB44fgLc2ux9YBHHfmeCa+m4ts7Ii5jN3LetuR7W0j5t4trzCxVJrhU80tg+w6cHnYHPD64f0u759Eeyeduo2oy9kJHngZD75vu6/gSkApQkJY4U9jpjBC1Zp2SSCDTyIkQmeG7t8YKuxyFNM/Y6E5JUMJs7sn4QVHL33Y8LiqJ8bGff4SSauqwd1zhnIo4fX6iawsSPmAQJBVvHNLSpG/aFhTK31ntkQqCo0Kq5kuCNwvJska2DISMvZmWuzBwu63tDXNug7BgMJhFhlLDYLPDChQaHfbkPDycRhqlh5OtIb+jnpCENITIKtoEQoCmCoRcTJxm6rlIpGvzBdzbIhOClyy25hwgo2BqNqstBVw5VW1WHcskmilIcS6dRKXPQ9VEVBZBJXVGSYegq3VFAksq17OZGdyriABhNQtZ3h9iWjudLwpIQoCKHv2mGTCrUVKyc2L2+P5TvFQqGpqJVFYaTiEwIrq7WT9X0mqaykju/KSp0BiFhlGFqKnrBmDqRGicEXUMv4t7OgKO+j6Iq3NsdsrYgnyNNBXGSUS/bebJZif3OBD9Mpm5kj4OuqazMldjcH1FyjXcUhu51JtP/3x+FBGHyvkgP77S+HnQlSff4bHKGDxflgkmYpPQnEYamYOk6B70Jae5YnglBlgpQUlRVp9sPsC0NXbeIk5Sia6FpGvWSjWvrDMYhmRA4ps5ee0y97JBmso/QqtgcDWQ642zNxXEMdg/HuI6BgnSA1RVQdRUVhYEXsnUg7ysvTAmjlLEf44cpxaLJ+H5MfxSiaQrruwP6pRA/jHnhYoujgS/FKQr4UYpGngCmyNc29hMpYNFU9jsTVEVhaabEbntMs+qyvjugVrIZ+wkXV6rEsXTO3zwYoqkKWwfy/ri4XKFaMhmMIqolixcutdg9GlMr2XSHMuV0baFEwTa5udUjjFLKBYtzcyXWdwd4QczybInd9oTBWBJOojhj6Ed4Xsz93QHlgjndkz//7Cw3NrqMJhGWqfGlDylx8wxn+KQxW3fpDQOiOMMytWn61NvBtnQuLld4+eYhrqWz256wPFeczqp0TeX5iw122hMcS6dVc/AC6fg+V5c1jaZJ4dr9XdkLbdUc/FAKtk1dZac9RlUVFpqFxxqpgBRsjP0I19IJ4hSE4O7OgME4Ik0z9js+uga2qRNECfWSLZ34hcBQFS6fq2MaGnGccn9nKAXyUcLt7R6v3NjHMHX8IKVcMPGjhG+/sceV1TpXVusszxSn5Cop7BRkaYYC6IbG4kyRkRfhhQlKzaEz8Ng/knPThWaBRskBBZ6/0KLomnz3zX38PJ3Y9xM0TUUR0pHYMHXWFit0BgFhlDLbkAk/qqrwzVd3eeXmIUIICo58nUcDn+cvNukOA3baY2xTp56LUEEKAY8J3ooiU6GSJGMwDpmpOVzPa81G2aZcNOiOZHKJpirM5P2bL12b579/dwPTUGlVHRZbJfrjAFWVot2tgxFHfV8mm4YJG3tD1hYqb1tLJGnG3tGETAhaNZeCYzDxYzRNXgNneDoQxemUHAqyt9ao2HSHAWGc4AcJSSKYaUoX7FdutXnufONUX/C4Vx4nGVsHQ4ZejK6qTPyY4SSiVXNI04zdowlBmKIgzRTj/Jq+sFSlUXH4xqvbDEahNJRSpYBL01QcQ2fix7mYU7A6X2H/aIJjaZQcgzQTJKlMLniwNiXc3e4TRAmKohDGKdWCwziICCOBYWj4QcoPrh9Qdg2ePV/HtXUKlo5hqCQjKQjRNSnKLbg6Yy9i7Mu+6pW5Mgcdj27fB0WKyhGyB2ykgq39AbahcmGxwmt32iSZoOToFFyTMEpAhb/459Z46fIM/VGAZWr0hvJ+PL9QQlVU6mVpmCUTUiwMXcU60oGUUMtI4gxDU2Uf50gKT/Y6Y1RFnk2qJQtFUeTXj8ZyPW8U3pGIehKtmkvrE0gma1Yd2n0fP9+b5p/C9aToGLRqzjRxYyl37z2ei/3w1iEgk4sOuh7PnqvJvbfqcH93gIrCYc+TRk9hTJwJDE1hdbbM4TCQHJM0e6KZQyZk6rdr64hMIYzkPaZogomf0CgrqErKUT8kLZqYusadrR7Ls0XCJJPnfk0lilNeuXnITzw3S3cYAgoFx8APYuJUcGml9q7mAievxflGQc7M3gZeEE8FHGmW8Z0396dJVYsz7+6IXHRNLFNn72hMfxy+6+97EpxfqnB7u0d/FKLrKs9fbH6g5/u0Qj1ROzyMdt+fEr2lANQ/M57L8VEQU+Mk5aAjeQCKomBo0ihm5EeoQqFWsugMfPp5EoeqqjiGRqKrmIaGyLLp3MHQNfwgJEkyFEX263qDAD+U5pN3tmUKqEAKuNNMHIfroekKtZJJbyT5czNVhzRTmPhynb6wUCKMBcP8zH15pcK33whkqhvQG/iYphRtxknG0kwLIzf1XpwtcH29x8SPsQydeul03+3Gem9qgDXyIiZ+Mk3+01SZrtEbynWtUbF57XZbvi5dpT8K+cpnStNrNEkyXr97hB8mXFquUi1Z7OapY66lYeoavVGApijYhkoQJrkIM6Xd97m/N2QwDjk3V2ahWTg1Q7m0XGUwloLqomNMRWhqbnh5EgutImO/R5ZJI66l2SLbB5JDNttw39Ww7fp6h84gYLFV5Nxcmf3OhCjJmKk575haVCvZmIZKFKsYmhTg98ZSuFNwDOqVM07VB0Ucy2TFJ+F4fhqx15nQHflTY8e31o+4vPrhiDM/LhQrj94DtcLTV0s+jFLp6eOXvn73SKahphmGofHW/Q7XLnwwHsjTio+V1fXyyy/zz/7ZP+PVV18lyzLpjPHSS/y9v/f3eOmll97Tc83Pz7O/v0+SJOi6jhCC/f195udPN9cXFhb4whe+wOzsLAC/8iu/wt/+23/7ff8NiqLguo8Wo6uuy8JMNXd8evRtHYxDVNXgWLMSxA+eZ/twRHsgB/rjIOC5tQLlskG5DAuzNYIwQdOUU5vwfmfCYT9m5GWMg4SSYxImGaWCzdqidK4+N1fGNDQ29occDRNubHR5816Hgm3wg1tdLi2WUTUVXVWYBLJhOPJTNEPDsVSCMENVJTGsXnYYhwl+lKEbGq5tMJqE6BpYpsHhIOLu7ghFUbFME00JcR2dJE7RdQ1NVdEtBccx6I4i7u9NaNUKzDaKFF1LutDFKbWSzWASUSnbWJaFf+J9Wlmooxsmt7cH3NrooGoqUZowU7ApuTaloks1EnhByiQUJCJmbblOmCgUCw6aHmBZJheWXFZmi3zx+YVTn1Wl5DD0UhRUGS+KyshPMUwT13Vlo9R1SNKMJM3oDHySTEGgTJ0ES6UCrvv+i5ZnVl3OLaYcDWVhOZxEeFFGnMLmobw2XNsgiBK+9fr21BEsSOCrn1951+d/ds1lNZJx04auEaUqtWqBIEwoFyya9TLumSvfpwLHSRxnB9qPDiXXZHW+zP3dIa/fOfqRjDI9w8cHL4ilW64q4zCBvHkBo4lPEElR1tJMgUbF4UvPL3BvZyCbXDUXRZUDic39IbZpIERAtWzQqLjYhkaSCSxTp1lzyDKBYxkYukqvGzBXL3DY89g+GNGoOoy9CMvQKBcdwjhFUxV22uPpAO/8QoWLixXu7Y5yR1spPtnvjPk3v3c9F2jCYBLyl3/qgnSsTeGwM2I4iaiOI25u9PiFL67QH4XUyzZF28Q2NBpVh0bZ4ZlzNW5t9vje9X0yITB0nc9ermHoCkGYUilZvHG3TSYyLENnZqnKZ55pcnuzf6JR9OQH14ebqqau0aw6U9fRgmNMo5ANXZVE02nzRj1F1nq73/vF5xc4v1CmkztszNYLFB2Txts03A67Hut7MjK53fOnDrjHIr123+e58w2OBj4HHY+xLwexMzUXXVNx8hrloOvRHQQ4ts7ybOlUrOsxLEPj+YstgjDmv/3ZxtS546jv8xe/svbE7+MZPnoUXZMXL7VIkoxMCPxAEv38nPDwXqGoCnomsE0td/ExKBUM9o6kEPzuTp+dts7m3ghy0pJr68SJwNCl4EPXpeP22yFOsqlrEkC9Yk/dDQ1dY2WmRAZ8/socpq4y9iJubh43TH2EEFNy6vuBY0ln4WO9/ocRo2nq8uyx2CqSZZKcar3N89qmztJskZ3DMZqmcn7h6YtSPSNlfvpxa7Mnh66AYSiUCwb1co04TvGjhIkXEyYZIE7dD08C01SlG30uNg3jjM4wRFFUvCBhvu4SRykXFivEScZB13si8dW93YEcfCANBl642PxI0yyeZjxcW5hniTg/1uj2pahBU2Xv6aj/QKioKArNqkOcZhiqgmnIPUhVFQbjGMcWCAH3d/p8+429aV3YHfogBIamcTQIGPkRi60imqZQcg2qJYssyUjEAzd+VVFo1hyunquRZYL+KMAPZeKPriu8eudo+vx/9to+f+WnL7DYLGJZOu1BIEUgSIHg//615xmOQ8quxX/51n0pbEDhoDeRJPM0myZeaIq8H2zzwX3hBRH//XtbJDmzJEwEizNFslSuXdcuNDAMDdcxePVme5oCIoDhOJqSP11b4/NX50iSjGrZnpLIQTpE3tuVg+Zra02WW0UG4wjX1rm51Z+mDZdcazpAU4GNveHUnV+IDHjgLHtpuZaTTxUOut40seOo7/PcWuOxA9EgTLiz1UcICKMUQ9fetu9j6hp+muTXBm9Lcn2/2D0aT4e/7b7P1fONs6SODxlxkuUiKUkuzDKBqmXEqXSanKk5RHFGEKWyp6DKFDjXMRiMY7IsY6bm8stfOc9wEvHq7UMOeoHsSScZuh6x2CzQrDk0KzazjYgwSplrFphvFvnGD3foDCR5JogSmaiXCPxEEogjK2XoRYRxRpzI5K/9owmrCxUEYJkanp9w4Pv4YcrW/oj99pggTjEMnSCWiT8FW6eCTBOebxUxDW3qwnp8HauKQqVoMfYiZuoujYpDtWTw7GqTK6t1+qOA3/uzdX54sw0k9EYhn7s6w994aYmxn1AqmNimzqu325QKJldW66gK/MxnF3n55hHPLNVQVIWf+cwCO50J93fkWXy/41EqmBi6QtE1cS1BtWwRJCntnk+7J0VntbJNuWjyv//KNTpDn2rZwTHP9usz/GjANnWev9giilOsE/fnOyGIUlzrwZ4wmsRcPd8gjFPpuqmptGouSZKxsTeg3ZeEYknGqhHGKXe3B4DsiR0bPaRZxvrekFbVleKJMHls0lS753N/Vz7+/t6AmapLECXc3x3ghwljP2ESRNiGhqIqLM6UWGwWeS43O4vCFPO4r9aTBN/+KGS3PWYwCUhTaWKroNKoOsSJdNLdO5pgmRq/+KVVMg2SMGYwifCDlJm6FJxcXKqwPFvGNlSur3e5tdlja1/WC6ahkSQZBysTfvkrayiKwtaBdJ++u92nP8pdexUpNCm5JudmS/L9tnU6Ax+1q2DqGv1xwK3NHpMglgZBts5ivcSLz7SYqbm0ex71kjTxifPaEuS6O1N3pNMwCkZecx1/Zoc9nzBKKRUMFFQ+d7lJmsnrZGVe1iQvXZ7hwmKVnfaYSSBJeBcWq9zZ7jP2YsIoQ9ceXEeWrr1jH/fWZm+aetYfhly70JgKh8/OkE8PNFX2EY9doVVFmfYLTV3DruiUCiZRnLF1MKJcMNnYG5JlgvmmnF+s7w7pDgOO8kSy3iikVXUYTrRpUsfdnQH9UUjRNdE0hXrJIhFw7XwdVVX5H9/bIE0FqqagIAVjrmOw0CyQphkFRyOOBH4Us9MeIQS0ex5KTpac+NIxGCFAUfCCmG4udCu5BuMg5tJKmbmayw9uH2FoKr1RSJYJvvPWPtc3+vyFn1xBZIJWxUFTkMlpmkrByVBUhSSRYvlmxaZaMrmwXKM39NnveVPXckNT0XWFLJMGNoaucmmlJk02hHy/LUPjaz+1Rr3qTj8DmbIre7mubdKqOsRJxsWlijQJXa3zjdf22GlP6AwCVFUakO13PV6+2ZZpjd0Jw7E8M8ZxSpzI9evWZm+a0NEfhbxwsfmpNrPRNZXnHtqbnjYoisIzK8dcIPWRtdTQNYbjiJ32GBRp8Lo6X+bicpWFZoHvXd9n8yBg5MU4to4WZ5QLZi7m0GiUNcaewtBLEEKmeacZj51DqIChaXzuyjzdgcf1+12SNEVTVBJFms9myJlGkgkiP0bXVdr9AENVcC3J1xoHMUkmuLXVZ7FVpFQwKdg6OyfOy89fbL6jSOi9XIu6rk5nfUGYnjL97Q6DdxVxANzc6OLl5iuDccjzFz7YtW/qKr/4xVVGXiTNOz6EecbThod7nx9UGHOGd4PC/d0BRwMfBYVa2aRWsrBNHUNX8KOEzf0RXhDTH+nMVB2qZZskzXIDmBDXzA0Y0xQ/eiDqCCLJizu+szKRp+YqUnwmULBNVRqxKPDTLy1P689KweK/fPM+aSKIk5S9rs///f/yeXnmLpj8xz+9S7VokaSyP+aHaT4Dkf2zlbkytqWjKgrbByP6owBD01AUwcb++NQ7YD+UFjFbd4hiE4EUqX/1s0uESYZpqGzuj3ntVhvbzM9GD93u335jbzrf39gfsrZQnZq9pZmgVrYwzeO5qjIVeAyAkRfiBZKPsb435Jml6tQp7niGUi09mNc9u1ojjNLH1sXlgslnnpHzZMvUZN+44rwtJ/Uk3rrf4eUbUgi4vjtk/2gy3Sc7A58XLjbfVgTiBTHnF6rTel1RFT5zqTVNfX4viV1neBSDccjtrT7A1MBw5hMQw34QCDLWd0fT9E3nKTQUXZh7tB9/eeHpF136eSLn04T99mTKY0ujhM4J44AfN3xsd9IPf/hDfvVXf5Vyucxf+2t/jZmZGQ4ODvjDP/xDfvVXf5V/+2//LS+++OITP1+j0eDq1av8zu/8Dn/1r/5Vfv/3f5/FxUWWlk6TcH/pl36J//Af/gPj8ZhiscjXv/51Ll++/GH/ecA7F5+2pZ9qbji2dIO4tzPg3u4Ax9SpliyEAC9ITg36HueydtzwMnRNCggUBVDoj0NubfbYPhjzxt02L9+UCtJnz9UY+zFeEE8jcdMMLi1Wub3bJxPSseug6zHyYipFG0SEUIR0scgESSIQIqPsmtTLJv2hbDgmaYaqCm7tjDjoeQy9iFQoeJMIVVcJInmzxYkgncSUXdnE+cHNA2ZqBSpFiwuLFRlTqimoqkozd8A66R69PFsiTQVF16BZtthpT7BNnYWWHGgPJzHNqsthz0MIqWKerRdIU0lsG04iRpOIckHlJ68tPFLYvHhphvW9EaoKc3WHWtmmWrKYb8gNU1EULq1U2dwfsbk/lMMjQ+ew51EpWsw1Ch+Kk79laPzsZ5f59hv7eGHCs6t1LNM4dW0MxhHdUSBVuTlp+Elx8u9enS/LwXGcMpM74Jzh04GzJI6PBy9eanF/d8jLNw/PRBxn+EColUxUBeKc5KwgGxmZgHZfOiioqsA0dEZ+zEzdZX1vwHfe2geRYZsyxeL5C00qJVu6ZagyslhRFH5w4xBNkY6vaZYxW3cwdZV2z2f3aMxOezwlXRm6SmcoY8NbNZs4E7RqjnSQVWC25nJppc7qQpm9ozG6pvLChSabB+OpgCNJM354s00YpWwdjrBNHS9MSdIAw1BRgDBM8cK8+auCoqoYuo6Zu2N9506b/Y48fKoK6DqUCiYzNR3L1KmVHO5sS+fLL78wR73scH5BcNDzsAyNldkSce7a+26YqTkEoRQ/Fl3p/K+qytRRvDcKJAFbVTk3X8K1Db743Bxv3u9SL9vMNVwMQ6NVdSi6j3fNvbhURVdVZusF9joeo0mErmtv6zQzPhFJDtIt6dTXBEyCeFrT1UoWqwsV0jSjVXX5wrVZBuOQjbxRNPIiFAXOzT0+klxTFYTgVPRqb/xoFOQZPnnomsrO4Zg/fWWbjf0RlqGQZoLscdOTd4CpSUftLJON1KNhyE9erdAbRCh5fWibOgJBmKSMvYg0FWTCZG2hnBMvLV66PPOI20eaZtzdGTD2YgxdyV13ZGNu7EW4dpWr5xtst8foqsrqQhkzf46xH5+aBI286AOJOIquyReuzfHmvS6WofHFa3Pv+7mOcWmlyno+SF6eLb2tgOMYC80iC82zmuwMHx2O54uDccje0ZjRJKZZlcTOcsEiiVMZNa4IxBO45yn58NLQFYq2QZik+EGKEFC0DZnclGRoKtzZGdDueaAqVAomlaL5RCKO4/0LpDtVGKXozpMdTOMk5c7WIHestzk3//i97UcFRddkZa5Eu+9jGRrn5s+E+j/OMDSVUsGcpirc2uzyf/vnf4ICzNRtDF0lEwLL0jEMhc39EZqqUnR1Co6Bqiv0hiETL5Ypd5C7xuskaYalaewceUyCFENTKboGk+2IMElxbYMkFURxKhO8VAWRyZ7QpeUa19el+5uFRpKk6Dl5M4gSXr3TJhVQcgwcQ+egK4VnF5YrWIbGfLNIFKf5uUOuQytmGS+IGPsJ5YJJFCXsHk3QNZWlmQf3QW8U0R9J4omqKiy2XDRVZewnPLfWoFwwubvdR9cy/k9fXuV3v3EfP0y4utbg1nqPzsDHtjRc12SvMyHLJKkkjFPcfEBZK9t8Lk+9EEKwuT+i6MqzQ6vu8Ccv76IAn7n8wOUpzQSVos12e4SqyB7a4kxREp5mCqwtPhB2nqzzH9fbPcYkiE8J8Y4dQx+HC0sVNvZGpFnG4kzxPYncnwQn13GEPK+ciTg+XPhhQsE2KLoG9/ak+DHLpChT0zQqFZvUAq8tz6qapqAJadqgKsizfNXmm6/u8uqdNqoqzZg0RQVdCoG6w4D7u0PafR/H0lhqFamWbA46HvWyzciLGMcxhq7lhhAag4nANFQWZooUvZjd9hhVUaiXbeZbBUxDoVGxEMJi63CMGqUMJ6EkXx8Iio5OWVWZqbqSCJZmmKZG0TVpVhyurjVI0oy72wNGfkQQpMzUHS6tVNnYG3Jrs49tahRcg+7A55Wbh6zMlZipuVQKBkGUUiyYuJaJY8v/jlEr2YRRimVqNCsOUSpYOTF49aOU8YnUbD9K8rOIwtiLcS2dmYrDzInzydiPp8k9pinXsyfBYc/Lhd4Ka4vVs/vnDJ9qaKrynpLz3BPmJyDNFdSHnkPXJNFoEqTT2WgYyZTgw65PECfM1lwURbqEH/Y8huOI3iiUSWJ5IiDIWuTOVp8wkrXEcdpub+SztT/i1kaPIExBgWrRQiCYqRU46Mq0XUvTKLoGC60iG3sj3rh3hG3qfPUnlhh7MvWnO5LJHn6Q5klecv449iPpomupDCch/XHA2tIKv9p4jt/90zv0J32KBZ04FZimJFUPJxG9NOPWZp/eyKc/OiZdy736lRuHxLEkeGkqbLcnDMYRZddkrlGg3fMwTZ1zc2W+9Pw8Ey/O0xFh42BIECd4vkwuUYDOMKBgG3z2cotzc+U8XViZvu+urWOZGkGYsjxbolF1+MYPd9A0lb/wk8sIFExdzROSBfvdvPc6X2Z5tsTWwQjH0vjy8wvTz7dcNCkX66T5ZzH0ItIN6ba8NFMkimWiUqvm8Lmrs6fqnpM9pXLRZDSJpj2lME5JM/G+0sXO8MlC01QuLVfZOhihqgqNss3GvjSjUxQpPlIVhZsbMh3reH8e+xFQmBKyg0j2rlVFmZoYNSoOUZzy+t0j3rrfoVq0uLbW4PZWn2rRYqbhcn+nT7vv4wUJ5+bLfOZSi9tbfeabBX75K2v0xyFDL0RTdVI9Rc9k+m7JtRh5EeWiRZzKM5Ghq3hBTLvnYZtyPRpOIvrjkCTLWN8fc39vjGtLE5gwSrFNjbGXkKZy3tHJ3c5ty6A/DvP6X6dZtkgzwWASkWQZ5+fLWE2Vn/3cEv/hj+9I4rqpMd8oTGfyvWFAlGS4loZl6Ox1xvQnEXM1l1tbA57VNMkhQWGm6tDNDTrnGgUWWgU6gwDb1Di/UEHXVL7ywgL9ccBrtyVBdaHp5MKZhPlmgSBKURRlOr/yggRDV6efEcj1PEmzd3X5/qTx8N70tOLt1sQLixUG45BJIFNrDroTamWbxZkilaJFo+JwS/SmvftSwZSGEWlKpWTSHQSkAsj3vWOc2OKnyJBzwe+9uYtjGvlMUCZSLbUKUvwhMiozDkEUM4pjgjBm9yhFU2RdgKKgIJO5kkSwsTfkqO9TLhiMJjFxmuFaOlGSSo5Ps/DI3EAIIeuGjpfv9+5jr8WTtfhcw2UwjrAtDfOEYYT7BNdGlompgAOkECRJpQHWB4Guq6fSQX/cMFuXAtyxJ+uZd0uCO8MHQ5pmREmaJ3kLwijl3JxcPwxdZfNgSG8UEicZYZzRqFhoqkIUCapFE9tUubM1yNPaLLqjiDDKQHnQx9zvTCjYBi8+0+DlGxkTL6FcMNA1ld2jCZnIcB2TaxcaWKbc38IwplqyGU0iNFXBNTW+/eYe+0ce1bKJa+lomjSgKtgmrbrDrc0ecZLx7GqdkRdxf3eIqiqMvQjHNlDUNE/hOj0keemZGTb3R0z8iMvn6rRqNr/9P24jMsHPfW4ZxzE5vgrrZZuV+TLtno9r64/MJvY7Ew57HmkmcG0dXRtMTe5KBZNGxZJiTE2l4MhzwsSPsU3tdJ9PwG5nMp0tPm6GImuJt1+rjs9cx3hSQdRh1+No4BPHGbalsXuksTz7IF1472hCdyiJ0qvzFbwwZr/jYeoqjYqNqihTsZ2Tf07OUyiW/DRi8hB/ZOzFzDxdIRYoqMw2HClE1lRmPoKEoY8a4773yNe2j4aszDx9Ro4n4eVG8E8TqiULZV8hzTJMTaP6IfCuP24IIVjfG9IbysCDi0vV92VY8bGdan7zN3+Ty5cv82/+zb85lWTx9//+3+dv/I2/wW/+5m/yr//1v35Pz/nrv/7r/IN/8A/4V//qX1EoFPgn/+SfAPBrv/ZrfPWrX+Xnf/7nWVhY4O/8nb/DX//rfx1N05idneUf/sN/+KH+bU8Cy9B4ZqXGYdfDMFSWWkXeut/FDxMsQ+Ow71FwDCxTe6KGf7lo0h1KV+ZywaJgawzGAUGY0B0FLDVLvHr7kDDK0HSVH95uc3m5KocqhkYQy8NItWTyxatzvLXeJYjSXHCR4Zg6lXmTi4tVXr7VJssEmgrNiiudxGeL3N4eoqkqqqoQhBlamhAECVGckgrpvJEJSLIURZFK0SwTqCr0hz66ptKoWIz9mM7Ax7V0SkWLZtUiiqULxeIJAruuqVxclopPVZWD6B/eSqaHzLmGi2PrkjiLLL5sU+PCUpV2z2cSxISRLOqu3zviwlL11M3f7nvTqOTN/SHlosVMw5GClhwl1+S5fBAV5uKUuUaByyu1tyV9vh/Uyja/9OXVU654qqpQdOW14Zgqfigd1DLeG+lvnMexyUaV9linozN8skgzIV014BSx4QwfPj737Az/6U/uTmPJP82uMmf4dMM0DQxDQ9MEUZRScA2SJMUPMzRNErT3Oz6r8zFzDZfbW12ur3epFa38kCz4wnOSmHxppUqWCd64e0QYp4wmAUc9j+7Ap1qyqJely5qiyLQML4jRVAU/jImSlCjJqJYsLENl4idEUUqtaFHIh2muLQlef/mn13jtzhGOqbM6X2JjbyibNokkaNRLFlHuCKopCrom3UODMKVg6yzNlri3O2AwjgiiBEPTuLbWYL/r0R4EuYDFo1ww0XWVS8t15hsF1veGjL2I/jjg3FwJy9B5816XtcUazaqDY+sEYcIb9zpkmaBZdU4RpB4HRVHekQBaK9mPCC0vLte4uPzke6Bj6ZybL3HY9fCCZJrssd+ZPFZYUSmaD5yV8zpIVRX6IymsUHPHvShOpwf2C4sVnr/QnDZhDrunD5DHtcfbwbWl49koV9m3nsJD848DsizjW6/vSifKgRygObaKGL6350kE6Cq526WOoancXB9w+VyVNBMkmaxXU5ERRSmpkIOLomNycbnG+YUymeCxZO3do8n0Wg3jDD9IprXucapDrWw/dhBRLpinkgI+jBSIi0s1Li59eDWraxtTh78znOHTgAuLFfqjgNtbfSxTxzQ0tg5GLLZc/CihXnGJMw/PT971uXRNEiBUIBEZRcfCCGMUVCxTwzQ16mWL5bki1+938cOYiS9JQoam4kfv/jtA3tvH+5xpqNjvwa1662A8HWgcdGWt8KM+2JxrPDqYfjfESYofpvmw6GxI8qOCtcUq1zd6wLGgqY9hyPbszc0+yzMl6SSqafhhgmMaKIpCFGf4QcwkTClYOpWSOd1rG2UHP05QVQ2EIIkTdtsxliGTORbzvsLO4Zgsky6xiiJd7c4vlImSjDRJKTk6IHAtSYI87MpEraJrsNeZPEjyUqToSwBHPTkQ9IIEx9KmAjRNlT204zN2nKTc2xlM6+/shJLBsTS8IO9xZQLbNPjFL63iBTG2qXNrs0ej4qBrCuv7o6kBw0F3wkHRnDrYZVlGHB+TPoO3Pd+fPDtkmeDlm4d8Nk8ZG06iaW/AMjQsU2U+v3cLjsmfe2GBIJLnISEEYz9G11QqBYtOPyBOUlzHeNvebtE1T5n8VN+hTnJtgyvn62/7/Q+KStGa1nuKAiX3jID+YeN4/T6+3qM4JU5TLF0FBJWidMY0DYWtgzGaKklPK7MFuf4LnaNhwNbeSCbCiBRVU5mtOaRCoCkq/ZFPuy8FFiMvZfdIJnSmmdyf5xsF9pmgKFKsIIArqzVmagXMPG27VbXpDkIcy8C1dC4t1VAURaZ6NApsHYy4tzsgTjJpLJFmPLNcQSgqCPl3rc6X5XlBkaSC7cMxw0mErqoUXZX5ZmF6Lm9UHDoDn6O+j6FrxEnGne0BlaLJ4kwZPe93LDTlvZemGZMgwTalu3yWZXhhKhM3Sxb7RxNMQ5MmCX7EQU+e2YuOQcE28IIYRVG4nPfAyyX7lCiqXHjvPf0oTqUzp4A4gXs7fV642Hr3B57hDE8Jiq7JxaUq3UGAbWmnTA28ICbLxIkegTl1Sjw2HbNMjcOeh2vJ+aVlalI8qECSpiQnSGbruwMGk2ja89o7mjBTd+gOfdb3RgRRSn8cggDb1EizjPlGgSBKKDkmdl5/lAsmQZBwZ7uPpWuAYPtgzOp8BT9ImG8Wub3VZxImZJE0pBGKwtpime3DCZqak5RMWQdFccrF5RrdUUgQJMSZdCqWBOiMg+4EL0wIoix3IYYwTogTmQ4y8iShXJLITZI0w7Z0nr/YpFy0mKsXODdfRmSCrf0hjmUwmMj3L04yUBR0TWWhVWRhpsjPvrTE0on0rpPGN/WyzULuNO4FMSXX4G997flTtdC5uTJjT6aXrC1W0XUV01B5/kJzWgeBXN+Oa51232fzYITIZG1ULpg0815jvWJzcan62OvnZE+pm/eIj4M7HFv/0IWpZ/j4UCla0z5fkmbsHk3k9YoUZaSp4MJihY2DEb1hyHxTn/58uWCydzRBVeRZoFmVQqBzsyUyIbi52cO1dWxDZ7c9ZnmmxJdfmOf5iy0OuhO+++Z+/jsy7u8O+EtfWeP5S00uLUnegGVoxMs1tvbHuEJnP5pQdAyyLKNSkbVTveiAKjkbrq0zmkQMJhG6pmJbUvShaVLgIQS5i7nIa6CMNEvJMoXBOJAk14Gc23hhgmlo6JrKwItzYqnCyIvpjUPCKOb29oALi9Wp+VSz5tAsO7x6p81hx0NRZc0z9ENJVheC4SQkimLeuHvES5dbuLZOveJQLsj3tFV1psYzx/USCEZezC9+8Rw//ZlFvnf9gL32GNfWma06DEYhpqmRZgKBQFUVCo4u7/GiyXAsezXOWR/iUwHb0lmZK3E/T5U8GgTsHI549lx1ajDaqrnEqcAPE4qOiWtrlF2Tw56HioJt6MRGSpopqIpAyQQISFIxNYEBya1JE4EXxIz9BFNXcU1pYrYyX0HLReZJkjH2Ioy+z9EgIEszNENDoLA6V6ZaNgmjBD+MKRUs6obGbtsjzTJsU2d9b0TRMdFVlc19mdpzLAQ86nskqWAwDolzgnZ3KM/2J3tkWSZO1eI9EbK2WMHzZR8kE1Cw9SdK4Tie0x33Kd1PyT513G/Qck7P0wZVVZ7KRPOnFYoCJcecJqCYpkqjak/7Zftd2RPQddkPHIxlv01VjvvPCbWSPU3sOd7bQdburqVL7p1l0Kq4fOlafk0qsHM4ws+TPwu2SbPq4lg6mQDHLNEs72BoqryWHZM72z1Gk5iBZ5BlgmrRInWNPHkopJGbPQ8nEXe2ehQc+TfEaUbRMdBUFUURzNSlQDTNBI6lT7l+x/hPf3KbRlk+15v3OvRGPrqmoeWcu7WFCvONAoauPTJLF0gTljQVKAj80JwaZWuayoXFCrVSLupwDfrjPHXH0GjWHO7liYSKAiuzRSaBPPtUCia2pZ/i631U0FRler7yg+RU+oemKuwdTaZnhTfuyeQxRVFy46+I8wsV+uOAomN+IJO+MzyKcsE8paasFD88nunHhUbFYaFRolmR/IKVtzEg/TSjMfPoa56rPv1mjgXn0y3AfhzqFRvbVEmFgqGqNMofnFfycaMzCKbJOsNxxM7h+H2ZF36sSRz/+B//41MCDgDXdfmbf/Nv8mu/9mvv+TnX1tb4rd/6rUe+/o/+0T869e+vfe1rfO1rX3vPz/9ho1wwTw0FjtWh9bKNrqnM1h0WWsUnciCZqbkywnMckqYZ7YHPYBKjqTF+mDJbdQmilDBOsRUpbFhdqBCnQjYNMxNFhVfvHKEqCv1xgGsb6JpCmsn0jExI94dMCDRNoVq0OL9Q5he/vEoSp1xYqtDNm7MzdZd6tYCh90HIQ56fJfLwbxuszRfQdY3hJGA4iTjoBQgEw0lEZxCgq+q0QWMaGr/yUxe4uPT4C/qw5+EHCa5tcu1ikzTNuLBY4eJyjY29oRz8ClhoaNPCww9jNvaGRHHGvZ0B5aLJ9Y0eX3xubjpAPlbPZkKw1/XojqSzwfNrjw5gWjVnKq5wbf0jK7AWmkUsQw7upShFXhu6rvG5yzPstMcYuiwUnwR3tvpTRe3STHHa2D3DpwsH3cm0Cf92Du9n+HBw9XwDy9ToDkPW94ZnDYUzvG80KhbNisPEj7ANhZlGgeE4QogANRc/gKDd9xiMAg46Puv7Ay4sVhACshOGEWkqKDg6QZziTUK6o4gfpkdEiXSwalTsvFGvYOiqFCgqCtWSjWPp6JrCaBIx8iJ6o4DlzRK6qjBTc0gzwdEg4Pr9Du2+R73scGerz+/86V00TSWKEuabLrqmsDpXQtU0/CAhjFKCMMF1DEQmmIQx3359l+Ekolm1CaOM0SRkpz3mqB9QdAxKrikbnoZGtWhJt5W6i66rbB0MUVWV/jgCIhRVEqiur3eZ+DGbB8P8MZIg2qo5lD5EseT7wd7RhK2DEb1hgBcm0wZw9jZKykbFQVUVJn5MpWhRdE2Kromhq9OGmGPpLM1IIUuUpNTL9ikXjWrJQm+rJIl0PHk3UYaqqvwvXzzH9ftddE3h8uoZSf3TiCyTw4d2z+ew7+MHEe/VGEE5/k9VUYSYEp00TabfRUlGlmUUyjrzzcJUyFxwTRxLZ/twxK1NSSBdnS/zlc8sPvQaH1zXmqqytlTB0DUMTaX1Lq5JknDYoD+S54v6jzgx+wxn+DAw2yjw+atzrO+PsA2NzYMRB11PJlmpKgvzLiMvIgxTkndR8CcpRHGCa5msNkvMt4qkIuP63S7dUYCqyAjt8/NlwjgjTQS1kk25YLLQLFB2n6xBtjpfpuAYJGlGq+pM47ifBA87ZR0ngZ3hAbwg5vp6lzQVGLrKlfP1d41JP8PTgWsXm7kYYUitZPL/+i+T6fdUFOpFkzAF21QZTmLiJENRwbU0to/GBGFKs+rw1776DLe2+xRsOXT9+qu7+GFCtWhwd2fExI9RVIVayZo6kxZdnd5QI04l2dAydb53/UD+blUQxRlRLEhTga6p+KEkfBuGQhgrxIlAU+QwPoozBKCg8Nqdo+kw+KjncW9ngAK8dHmGS8tVJkGcp14pDCehJC1VHtQThq7x2cst9o48DEOjaOn87jfugQBdUxCK7DMqubvnsTjbsXSeu9BgOI5kSokqhRdZBpUnJGULTtc9WSYQQg5aVVXhM5dabOfunrN1l9fuHJFlAlNXMXLRPMi6PYgSwlgSyx9OOTuGZWhcPV+nNwqxDG1KhPwkMFt3py7EtZL9VBJDPu0wdPl577RH07N6JlSKrkW1ZLE0U6RZcTHNJn/88hZRJMUQW/tjOn2Pvhfh2oYkI5kqSSKk++Fsif4kQqgZQy8lyzLp/i7A1HWKrsFR38e1DcZ+zGAi026CUB46Sq7JldU6jmVwba1OEGds7Y/ojUJ6o5Df/cY9aiWbStHkl758nuv3O4y8kKN+QJZlZOhUy5IwXSvZ9Efhg3OskATE9KG9Pc3vMy+IpaNlKnsTjmWgqrB5MGJ5pkSzYlEqmlxeqUtCWpLx1r0OYZ4gVHINNg5GjCYRjbJNfxxiaCrD3Nmz6JisLVbo9H2W50qszJbZ3B9OE49BksCfWanlRGfzfYnO05z8doyzWuYMP4qol+1HzvM77TE7+f10TOI/v1Ch4EgS1rGxiGPpLM+WqJYsKR7wI0aTCC9MWGgWKBYMBqOAt+53iZIMXZXpxMema5v7I9b3huwdeVimRsmVCcizdelc36o5HHY9dFWhVS1QKhgszRS5vzdktz1m7Mdy1qjrfOn5BSkiCWIun6shBEz8iCyTs71OP5TJpZZBuWhQcGTd9I0f7vDa7Ta9fJ6WpBmKELx2t8Nz5xvM1BxsU2OoyH6cIjIMTWO+KYlrO+0JXhhj6VKsWilYlAsGX7w2j2XKhLX7u33+x/e2SFOZTHH5XI00zej0AyxDw7F0mjWbCwvVqYDjeMaXZRm6rrMyW5rWE/udCZt5MkK1ZHFpuTqdkW4fjPj6qzskiazhfurFBRZnSqfOcSMv4uZGjyyTZ5AgSlAUhZ3DMWM/wtBVmlWXWsk6Vcs9jPShM+vyTBFdV8kywUzdPTPS+hGBrslz6rEDr6rCvZ0hlinvf1WBi8vV6TpimzpxkqLrGnN1l4srNXRNZftgyJ3NAd2Bj2XqnJ8vEcYZEz9moVVk+2DExt6QSW5kVS5YaJrC5sEIL0j5b99ap1ayadYcvnhtjr/xF6/y6u02N9Y1VFVFVeC5tTp+mGJb+tTEygsSRn5MfxhiWypxnKEqMlE8igXkonfH1lldqHBwJFPMNU3le9cPuLBYZaFVoD8KqBWlo/nQi2R6jaJiGwqObSCE4Pb2gP2OR5ykVIoGYz/BC2J8PyGIYnqjEMfWMA2VkqMTqJl8vabGbsfPUwhUlmZLXD3xnh/3aOMk5a17XXqjkB/eOqRUMCg4Jn/+J5b54rV53rrXIUklybUwibAMlaEX5URNZZoidGm5RrvnkQmZfnB2r346YBoay7Mlbqx3Oeh6BGGCpil89fMrXF6pc9TzWZopsnUwZjCJKDoGXhQz8mLiTO6xAgVNkeJF05AEuSjOsCwVU1elmZyXIAREMQgEaZoSxSkzDZf5hkuSyoQMmQoj8PwEXQuleFxX0HWVpZkilaLJYByRpBkiE1iG3Mc1TcE2ZWKPqj64to73jFduHvLmvQ5CyFTNY5PLStHEC2Jub/WnPbLVhfK0Fj92Pt48GHL9fpdKwWKuWeCXvnjuiXuVz6xUOez50+SPTxpCCG5v9aeCyJW50hmJ+gzvCMvUuXahwfreaLr/LrSKdIeyptRUuL3Zx48SbEPHtTQ2D0dkGRS8mLKrE8UpGQLHUKcCZfLEpjvbPYZegqGprC6U+KlLi7T7HoutIt99cx/L0ImTjFrJ4rU7bfojKYo6N1diqVVkOOli6CoVV+dbbxxI02ZF4cr5GqWCvMebFRuQYuYsE1imRnpibupaBp+/Msub97v4QYJlqPzu1+8x3yzINUY9vWdFiUDN97FMCG7c76PlquKFlryfvDDBETyS6ORamhSmpIKKa+B5Mfs9abpoGTrPrsq+nqGrVAom379+gBfK/uBPXJ1jpubQH4WcmysTJxmv3+2QZRnNqs29nT69YTh9HR+Voe/SbImr44ihF9IoO1xZbaDr6vRzeuNuZ/qzSZIb/hz/O8to1Zx3nQWf4f2hmPfkBuOQgmM8YkL6NMC1dX7hiyvc2x3iWNrUNOVpQvYY49TO0GO++XSbbBvq01e/t6oOhq4hkgzHNih/COagHzcenXlnb/OT74yPbQKcZRmm+fgBmmVZeZT4jxeWZkrc3xuAgNWF8tu6lpxElgn2c4J3q+pgGxol12ISyAObqsgF87DnUy6a9PqywbjQKnB+oYoXJgzHEWM/wtSk00KKQFU1olgOIZNMIABNU2jWC+x0Juiqhq4rWIbOnc0+vWFAtWhNB52Nss3ukYdlaagTuSgIIZ03sgwur9Yp2NK5TwE6A5mMMZ7EmLrG2I+J4gxdk0OnH1w/YG2hzH5HFkNzjQKGrvLW/Q73dwYyqrXiUHZN5psFlvMG5mHPmzp4yki4FEOXYo4wztg/mjDyIiolkzTJ+NZru1imJLfNNwuM/Zjdowm2qdOs2Cgo3N7q8fkrc6c+h7l6gYkX40cJ5xcqpw6bHzYaj2mGurbxQPCjwPITKBuDKJkKOEC64ZyJOD6d2NiTjfbl2dIjB44zfLgwDY3nLzT5/vUDXr5xeCbiOMP7xvn5shwgqFI6vzZfxrI0vvnqniQviJS1pRpemLA/8mWEsaLQG4XSzT4/oBUcg1rZZjCOqBRMkjgjy0K8MEbXFHpDnzQTVIrmlKhUzF1i9ESh6BikiUDL3TQ6/YDr945oVV3mmwWSKGUwlsPJ7jDA0DXeun9EPyc8IKBRK3DlfJPv3zgkjBMcx6Bg6XRHIQoKqqYQRAmdYYiuqwgBS7NFdg8lSaVcNFGQZKv5ZpFCHlF+3POvl20sQ+N7bx3QGQQoitzrRl70IEJSyPemXLDwwpjtgxH1isNMzfnEhgd7R5JgVy6YDCahJGjZxmNTDI7xuASQx+3rb9cIkWtUg2E+AH8SYpWqKDQqNooi68IzfPqgqgr1ks3G/pBMCN6O76MiHbAeB8NQKdo60tdNXiuupedDfemSHcUKhqGhaxoLi0UUyMVTAZv7Q0oFC8vQWN8b8vmrs6fIwbN1l84wIMmd7BaaxSeO6QUovoMD9RnOcIbHY6bmTofrXhBTKZrouoZtCQq2gWXqlAoZw0nEu/V/0lSm8Yz9mPMLZYSAe9sDCrFBkmV0Bj4HPU+6Shoqd3eGVCMTTVOZazzZsFJVlXfcA98JC80CIy8iTWUkef0pdFb5qHHY86cE2DjJ6AyCUw6CQggOuh5hnNKsOBTO1tynCs+eb/Bsngj1vbcOefN+F4BnzlWZaRZzpzfZVwsimW479CKCUJq1DEYh6wdDLp+rYWhSIF0pWri2wcSLCMIYgUARoOQkhCTNmK05RFFKbxxhGprsZeXOX2MvIUszwiQjExrruwMURUERMBhJB2lDV1EBoYhpjRKnGf1hQJxlaArc2RnIIamicGurz9pilTSV/cZ6xaI3CkBRTiXvFh2DhVYJ15ZpXuu7gykhYziJAAXXliKQZtWmNwqIk4zFmSKGpuIF0kSmXrFlQpCARsV+ZAj7OGiqwnyzMK31F2eK0x6faWgsz5VzAYokshz3QUeeJKIe1/o3NrrM1QuU8s9tcMI98HH366dFMPE4gu4ZPlzYls7F5Sp3tgfEScph16fiGlxarvILX1jl1duHvHa7TdE2OH++yV5nQhClCEVBVSTh1cnTJIQATRP4UTJNvT7sTqSAIMuwdIXF2RK1os363oiRF8kzgAJJJlBUSZzq9AMOuz7PnnfwghRNV3Fsnd4w4Pp6F8uQ6X1+mGIZKp+7MsvG/pA72326w5DZqoula9imznNrDa6vd7m3M6BUMFlsFXFtg7lmgcEkJE0Fjq3TyK+zk/tbtWgxnITomkrBNtA1lZl6gWrJmpKUusOAMJaD1SwT3NjogZBClM4wwIsSrpyrU3AM2n05RzB1jflWkRcuttA12bM46Hp0BgEl12R1vvyBr33H0mlUbJk+oEizpDOc4ccBx/slyISFTsln7MXYls5806VStLixIYXI9bLNlfN1dE3NxRIBrp1K46qay8buDlGeoJVlcl5VLdkUXYM7232KjkmzKpj4EdWShWPqlIsm19Ya+GFKuWCyfThGV1VaNZdmzeX+zoDuUNYJx8Z5Iy+SZ63nTPpDKUg7rhEsU6YBCSEFqnEsKBcs1nf6vHb3iOEkIoozMpHhWjpDL0JR4NVbhxi6fH5NVdg9mmCaBudmSzQqUoA2zN39XdsARa4bxYKFF6YMxhFLM0VeudGWc1RVIYpTKkWTIEwZ6BFu7iBeLVkszZZI04z1vSFv3DsCZJ1iW/opQejuic+nPwrxw2Rac9zY6MkaU5GpT0GcYhoaXhDT7vtyTutF01onilNGXoxpSDMaXVM5N1tGKPDcWuORWsYPEw57niSWVx26xz0lU2O24cpkgTP8yME2Hzjdp5mg0PWlmByol51T5JXDnodjGTiWkT9W9htfu93G0FRKriV7lgcj5htFWnWHe7sDkiSjVXO5tFxla39EtWTRqtq0ewFJJsUOaebTrDrcXO/x4qVWLmgnd+zP2Gl7nF8oU3JN+uOQ0USmd3k5tyKIcgOlmksQptiWwDZlPWQZKpahUa84HA0CbFNHU1W222PmmwXOL1TY70447HpkGczWHDqjCFVVKRdMCo6Jrqksz8o0oPXdEbMNlwtLFdr9gOE4wnV0io5BkgpalQKdUYhhpJRckzBOmKm5TPyYP/7BFlfPN7h2oYmZi8ZHXsStjR6dQUBn4Evhqy/5HLc2+3z5hQVefGaGm/naPNtwJbE+P+PESSZ5E7kQ5Ywo/ulDPU/DHkzkGp0Jweb+iP4ooFqyee5Ck6//cBvL1JgzXSolC0RGfxgxU3fpDUNGXoxtaQRxSpqmFGwT21aoFkwKrkGn7zP2J9LU4MTvVhSV3iDk5kaPmZpDrWSTZoKibbAVj3FMnTgVNKsO5+bKFFyDetmhVLAwdZXdtkxmOjdfop8LOxZmXIIwYRLErMyVpjOEt+53psmYIhPYpoprm8w1XLrD8FSPzAuSaS0exjIl4M52HyFk+uBoErF5OHriZG9Nk8mBnxb4YTIVcICsv87uzTO8G9YWKySp5Nqdmy+ja+p0jx5OIlbmShz2fZplyS00NJVMBRSFJMtIhTSjFICqqKiq3MPTVOTJoHL92T0c0yjb7ByOMQ2NFy61ZOqngGbV5rDnT8UTb9ztoOsqzao0Pby/NyJJMynq1FR8P2FxtkS1KGeVc80Cb97tkArB8myJSys1DrrynF8pmvRGIUquLtk6lGtQfxTiWDq2aRCnWZ4YaPDnXlzgz17bA+DCUgU/itk+lAbJsk6XKblxmnHQ9U6ZOwwmEZaukapyxjL0o+n5wQsSdF2bvre7R2MMXZsKnA97HmXXwtA0LFNn+7BPLU/B6I8isiyb7sH7He8jE3HM5uv/bOpimRqtmnsqZehkL/TicpWJHzMYy7PO0hmH8CNHyTU/cfPSDwrT0GhU7DwB6OkjpBx0/Ee+1vV95nm6RRwF++k7d3tBgmXq6LoUro/zdLSnCc2qw2HPIwjl/vZ+68qPTcTx7LPP8u/+3b/jq1/96iPf+63f+i2effbZj+ulfGrQqjlUiuY04utJsLE/nEawHPX9acFuGxplx8C2dMI4o+QYnF+oECXyEDPfkMr31fky/VFIu+/jWFruAqaSZSG2md/MikKpYKIgo0JfemYWTYPtgwlHA58/e2NXpnaoKqap0ahY+GFKHCeo+QBpMI5QNYVMCIIwpugYfOaZFvpdhVsbfSZBQsk1mW8U8ih3cfyrAdlYubHRww+kYnUwDknSjDfudsgyQW8U8NyaynyzeOri1zX1QXSrqqDm7hFpJlAVpBPZQMatHg0Ciq7O3tGEsRdz5XydFy+1SJKM2/SmJNHjhtJJ3N8d0MsPTzc3ejx/sfmxRyteXK7ihwmaqjwRqU7XctV0fvr+NERBnuHx2NgfAtLd9gwfPT737IwUcdw85P/81Uuf9Ms5w1MKXde5tFLF8+OceGlxbr7CleU6QoWv/3AbRVE5GIf0xyGOLUV4L1xs8Lkr87x174iD7oSLSzW03DHXq7soQsacWqaWO08YVAomUZyRpJkkPYwjxl5IEMnhWgZU8wa/H6Yc9nza/YDFmSICOOxK18vtgzG9UUC7HxCEsmETpxmqgP44olowCWKNw86Eom2QpQLdVDB1lf44I8hjwmfrLi9emqFVc0niFF1XmasXQIGD3GHK0DXcE/uprqu8cKnFcCzjwZtV59S+NFNzGEwiwjhh4seMLOkclKTZE0UgfxQwdFU2wDSV1fkyl8/VKDrme3Ief3+/V3us8ONxEEKmmRxHpI68iKvnz9I4Pm1QFLh8rk6cZPSHIXGUEovslJMrSAGHpvBYkUejZJEhiQ4/+VwL2zQ4N1tmt+PRGfigKBQcGcvrFSxm6wVW58us7w1Is4w0k6LqVtXBtnR09fR1bFs6L15s0hn4vH63w/98eYvn1pqf2P13hjP8uOCzl2e4sFhBUeQZNs0HL6apUnJNdE1GWgdRQvwOCT5RkqJECkGcsHkw4sq5Oq5jMPRidEVFVRXCMOXcXJlXbx9ScKQT3l57wsfRcC26Ji9eahHFqYxuP1MdPoKHz+vGQ/XG5sGIg9z0ot3zef5iE+s9iO3O8OnB//WvvcStjS6apmIaGjuHY+IkRVUUZhsFmbSlqvzBd9dp9/NI5knInc3etL7ePpRmJKaeEcYJWSYfo+R9sC9cnWMURKRJylv3O7n4nOlakGQpKgrjMEFVVIIwJQjTaV9MIFicdRBCwzE1Rn6MaeiQixoOehNUVSVJUzrDACcfRgZBzP3dASBJB2kmzy+qojCcRNOepqIoXMp7XIauMhhH7HfkIFHXlCkpXNNUoiTFsbSp07+uyjTTWsliaabFUqv4nvqsIA00WlUHFB5JvFmdLzNbd1FVhf3OZHrfaap66j61H7r/9BP37Ob+aDp0bvd8XrjYfE/i2DM8/aiVbL5wdS4XYmQ0ay6XV6q8td5n7Me0ez6apnBvdyAT9lRprqSoCo6pUy1b7B6OyIRMZ97vTLi0UieMEoI4QwhZM1SKDkVH5/7eEJHJdD7H0qQbb5gSRAlq3s+fBAlJkvH9G5KI3BsF7ByOmQTSAKpRsYmSlK+/uk2t5PDCxSaaIl2vNU3hoOtRr9psH44ZezH1kn1KzFB0jMfu9Sfvm3rZZqEljZuODW0e/pmH90Pb1Bh7CkIINFXJ+93yuc/NlaUARghW5srT+7BVc/j5n1hhEsQ4pv5EKehPggtLVRZaT96bP8MZfhRgaCphJg8iSZpxe6s/JWnFiXTNfty9bxoa1y42CaMEy5CmbqZxYh/N3TuvXWjgWHI26PkxtZJFyTX42s+skWZyVhcnKTc3emiqyvJsibJr8sy5GjvtMTc3+7i2jh+kNCs21ZI9FQ+4ts6z52uUXYMkE+wejogzwdb+CF1XsE0VENzc6KIpcgYYhAm6phAnCmkmyQUHHR8UKZJVVYWLyxXKBRND11iZK6GqKufny9zd6SOQvbnDrs9QD4jTFC83sNnryNroJBaaRUquiWlomLpc345f/+3tPkd9n7s5SXW2LonYpz4fPU/zRfaeTtUq1ul1yrGk4/Jb97tT4UaaiampmKIorC1WOOh6KKrCbM3ByN3UHxZwJGnG9fXu9Hd7YcKLF5uEcYpl6mdGZT8m0FSFK6t1OsOAO1s9Jn7MxI/JMsFco3CqPgYwNHlNHnMTXFvHMgoszhQoFyy2DkZ4YQwohLHsa5ybLWHoGlGccm9HmuPAg9o7jFL+5yvb7B6OWd8bydRCVWWuIdg7mjCwQ5nAMZFmUkVHJ7N12j2PKD6eYeh87tkZjgbSTGttsUx/LNN9hl5EJgRxkhJEKa/dblMr2zTKNhM/RhDhOCZzukatYvNznz9HmqTc2R4ghEwwKjk61ZKDYxmsLVgYmoIfpHRy865WzWGm7rIwU6ToGKiKgoLCd97cl4aoAvqjgK9+fgUviLmx3mUwDjnseVPh6/Hae1zzPFyX3d7qEZxwHz7jC3y6oWsqz51v8KevbJOmGWGU0hn46Pk9NPIiKgWbOMkYjCXprVq2mW8WaZRtmtU4T3PRGIx9vECQiYyCaYGq4AUJvVFIlolTPBJVAU0FP0rY60wI45RaySaIEvY7EwaTiErBYrFs83OfW+RzV+YQAtIsmwqvzy+UsUyNetkmyxP7+mNp3iZTbzKSVBpSjfyYUU7a0zU5P3QtyX3aaY9PvSeGprKY1+JxknJjoze9jo+v/8KnxDjh/eCM03OG9wohBN95Y58bG10UVWHsR/zkc/PT73eHPn6YUMi5hJYlRZhJnjQ7mkQ4NpAJFBUcWyOO5ZTAsQ1AkcYuqsLu0ZjDnK94Y6PHX/6pNf7Kz17AD1MqBYP/8Md3pzWhaWoc9T2O5w2pEBRsHcvQ0DWFcsnk/EKZJMkwDW2aZpqkGdWyzeJMkdm6i6IqdPo+r91p44cJ4ylfoDRN1yg6Ou2+x3ASUSvV+Cs/c5EvPDdHHKc0yjb/z995Yyog7w4CmSqU32PV4mkyvRDy/CIyOYOtV23Zmxdg2zonb8njemb6Xg8C3rzXIYpTSgWT2glxiEy/0k489qO7t13b4MVLsh5/3Pzl4V6oEGLalz0TX5/h3RDF6TRFHiCM06eO29hoPcq9eW555hN4JR8uSsWnT/RpGhqlgkGWInszj+Fof9qhayrX1poEkeTPPXz2feLn+ZBf19vib/2tv8Xf/bt/l6997Wv8pb/0l2i1WrTbbf7zf/7PXL9+nX/5L//lx/VSPlV4uwb/d9/aZ2NvSMk1+emXFnBtWTgcH17SLGP7UMbx6orKbKPAi8+0GE5iukOfK6t1VEXhsOdzfr7K0kyRctEiSTNc2+Cw57HbnlAr29imbHiEccrYjxBCHgbmGgVmG7IRedD1pIsfgiQVhFGCMHSIIQgStg7HmLpCfxyjqvLxmcgQSPe9V261iZKMsRcxmISoikIQJsw1C7xxt4MfJlQKJqWCQbPq8nOfW+LmRh+Qw+nvvrnHyIuwTZ1WzaVRcVhoFSgXTF6/c4Rt6lxYqjDfLPDdN/dJheCzz8xMm4OmoVIr25iGRhineexqxvOLTfm++hH7nTH/9r/eYDgOcB2Ty+fqzNVdrqzWeOt+h+v3O5iGxpdfWGDsxdPPKkklicbQPzyl5MSPubc7IM2Lz7dz6H4vQ2ldU7m4VGX7cIyqKpxfeLo20R8nrO9JEce5uadb5fm04LPPymLsrfvS9fjT4oh5hqcLpi5TD8JYNvCdPH1iv+MxU3eYa5QYjkMsXSFOUrYORpRdg3rZ5s27R/zgxiFJmrF1MKJaMvnitXm++douuq4y9iOGfozIBKsL0gk2SaWIQlGU6bDisOtx2PWwLZ1K2cLzFFZmZVy9ZcjHVIo2Jddk5IXEecO36JrSGc3SaBVc5lsFttsTGlWHKE45GkiHjGbVoegYOLZOmgn8SB78V+cr1Aom/4/fvs1hz6PkGvyvf+FZXNugM/AJopTZhkujIhvJ93b6eEGC58cMvQhT13jhYhPXNjg3X+agO8G2NColi+4gOEUuH3nSpeLbb+yz0x5TK1l85TOLj5CtHkZn4LN9kO9/i5VTCQFHA5//35/cZexFXDnf4Be+cO6xzzHfdPn2G/vEScbzF5tUip8+x9o4yaYCDpCuQ++GIEq4tzMgzD+nheYZSf+jhqIoXFqpEkQxO+0xhibY7QQ8ouLg8QIOgJEfk2YZGgrfv95mdb5EtWQzW3fxwxjPj8ky6ExCTEOjO/RzJx6BpqqsLVZ47U6b3ijkF5+bQ3/MIEDTVH5woy1FIUBnsM1f/umLuRO2FJRvH47QNJW1hcqZC/wZfuQwGId887VdJn7MpeUqn3nmo2/gRVHCH31/k+3DEV6Y8tz5GlfON/CDlLEX88rNQ7lSvAsHJowESZrQqij84PoBm/sjZus2vh+j5Q6Q+12PzjCgOwiYqbvomsped8Kfvb7D1fPNj9yBTtfUd21k9YYB33xtlzBKeOZcnecvND/S1/RpwnyjQBAmjH0pDn64J3CyJ5FlAs+Pz0QcTzGeOVcHwA9ivv7DbTr9gMXZEs+v1XjjXg9dV6kVLW5t9EjSTBq4JBn3dgZomkKSpHhBTBin1Es2S7MFmZZrasw3XP7o5S1J2LF0HMsgGIcYmoZtqqSZkKIPXaFVsfFCWeNXiib9sTRdaVVsgkBwNBzTKDs8f7HB7U1JTFxsSZJVGKcUHIMLCyr9UYiqKtIBNEecpEyCZOp8f/IaBvjTH+7w2u02tqnzlRfn2TocMvETnltrUC/b3NmWpMxayUZVJHH7qO+xcygF74NxhK4f8MVr87wfvBOp+7j3ttQqEscZkyBmvlnAtSWZRNdUnl2ts9+Z4IcJraqDH8oa2zQ0Rl7I9uGYOMmoliwmQTztB3tBzL2dgXQkbRaZeZ8JR58kvvfWPut5D/srLy5QfMqd5D4KzNRc/DBhOIkoF2TizH/8k3ts7A3pDQMGE2mGNFtTeOFii5XZMjc2upQLCc2KTalgctAZkyUCVVGkU2RnwtCLiOKENBMkmaDTD7i/M6A9CBFphmPrXFmts9gqsTKXcn29gxekkoirqeweTWh3PVCk2+vYjyk5Okkine/DJCNOMmqlgHNzZVRdxTCkwUQqBKvzlQeCq/w84QUJpq5xb3fAaBJRKpisnUi9nTuxvxmaKpMshBScSTd8aeL0/esHXFiq8tnLM8w3C3SHAa6tc2W1xveuH3Jzo0u1aHJpuQaKQn8kXXjDSBK3zYfON6ahfSRCC8fSiZKMP/7+FkcDn5maw597YfGx56sznOHTiiRJ+eZrexz2PFpVhz/34sLbEncuLldZ3xuSZTJRrzN4kPx+vLe/XZ2vqcq0714pWnzhuXlpSDOJWFuqUnQN/uu37kvBx1qd25t9klTwwqUm1dKDWjjLNLIsy5M7LF56ZgZdk26N5ZyAZegxRdc45fAN0B+G9EYhaSaYaRSwTI3+KKQ4kc69KApBmHLQ9Sg6Rj4rVfCDBC9M6Y8C0jTDsQ1GnkxPRFH4/HNz+EFC0TF5/lKDP/7+FvudCWkmchJ7xt1dmVAwV5fO/bapcWG5wu99cx0/SLh2oUHRMXntdpvNgxFFx+Tyao3Zusv1+12+d32fiS/rPQUFL0xgFHD9fpcLSxVMQ6NSMPnWa7vEScoXnps/9Tk+s1zjf3xvk8Eo5OJyjdX5CoNxOBVwADi2TtE2mAQx9bLN8myJC4sVLi5JMYehaZxffHSuGETplKwnr4UITVNxP2Ljm08KQy/iGz/cYeLHXFyq8tLlp5fsI8UQA/wwoVl1WJ59spnk2/UEVVWZmlEcY+RJ8fZs3eX2Vo/eMGSuWaBRkWeF4zmIHyZcWKpyYbEyXWcWmkU0VaHd8zENjdWFMht7I0xDilTv7gywTI3lmRITP5LkzXFEuSATgqMkpVWyWZkt0R+F7LRHGLpGkmTsHo1RFRXPj0myDFNXcSyNVtXhaOCz3/WkgFZVuXSuhjEMubBYYezFKKqCa+mEkVwX9jo+mqoihMJ+x+PScpWvvDTH/+e/3aAz8DB0jecv1XEtnUbFJYxSojhDCCne2mlPMA2NpZkijbJ0cZ2pulxcrpIJwZt3jxAIahV5ljrK196JnyAE+XksI00lyV4IQbNq88KJHsrJtXl1ocL93QFRnDJbLzDyYv7wu5ukScYLl5pcXH6y9ALg1KymUjT56ZeWsE2dKEr40x/u0hsFzDcLfPn5+anx5hneO9RcJHX9fpc0nxNqmrzf/CBhtu4AgjjO8MKYIExYahWYhAnn5spcWanxB9/bpOzaFJ2McZiQ5QaoWwcjvCDhIV0gaQZalmGaBlGcMc73PWm8Kh879iMuLFVyt/kxP7x1yGAcMddwp9dbvWxzb3dA0THZ2B/y1r0O9bLDS5dnyLJj0rDJpaUKN9Z79Mchlqnx9Vd2WZkrsbpQftsemRDwZ6/vsXc0wTY15houri1TD+cfmnNt7g/pDAIcW+fCYuVjISmf5PsszZROpWe9E0xDY22xwm57gqYpnD9xnjrDGR4HP0j4ox9sTZMiO33/lIgjTlKGXsR4ElNwDb50dYaXb3cYTSKunK8z9iLWdwYIYKHp8tIzLW5vDTB0lZ+4MsskSNjreBRtHdNQ2dwfEyWyf/jWeoe7OwO8MOHZczV+5qVFvn/9gEzA58/V+Pbre9zfHeQ1foOtgzFHfZ+ya/GFK3O0hzKVamm2iKI86M8lScZ+Z0KnH0wFCArke2iKH0pTydm6S7PqsLE/YutACr6+89YB1ZI9nXcf9T00VWU0CVA1haJrIISQCX22/oip89piheEkIk4yFloFrl1ocnuzJ/+mK7P87tfv8YMbh7i2zv/6558hTjP2jybUyhYKTJN0vCBhsVkARSFNBQutAsNJxA9vtdFUhS9cm/tIr4t3q8dP9kIVRXlijtSTchnP8KMLP0ymAg54wGN+mmBkjw5Zj3oezdrT15s/CT9KPumX8J7x3IUmNze6jLyYesXlwuLTV/cIIdg8GNEbBhQcg7XFyvsScnxsIo6f//mf5zd+4zf4jd/4Df7pP/2n06/Pzs7yG7/xG49N6PhxxcbekFsbPQDCyOd7bx3wM59dBuRBPAhl/HcYpeiKdGOplSyunm+gqQqv3z2aEvieWamxtlghFYJ2z+PcXJn1/QGaqtKoODSAldkinUGAqsrosCwTzDdlkeSYOvWyhcgE3WEgnV80BTW/2MoFg8EkIs0EYz8lyTJmKw5BmCCEQhjHkugZJmwdjCg4hmwgIDBztwzT0NBUhWrR4nNXZnluTTpGFxyD7sDnjXudqdp1v+tRKpg4lo5rG2wfjgmjBC9IMPZVhl5ErWRJp/Gex9JMEU1TKbsmM3UZzxgnGTM1h/44otv3cQyNVt3l//tHdznsegghCOOAczNFPnd1jv4o4OWbhyDAD1P++3c3uLTyoIGh6+q7iil6w4AklZGvT4LjphnA7a0emgrVkv2BHUpreeTmh400E/j5EPrMeeyDYzNP4jj3lKlVn1YsNIvMNwrsdSa8ervNl55f+KRf0hmeQsR5HH21aCKEYDiOyLIRGaDmB9/5RoG9roemqeiqSpik3N8bEUYyGjeMY4LI4O7WgM8/N8vPfm6ZvfaYLBUy1noSTTnehq5OD9fzjQKHXekW5VgGWSYo2To/9cICP7hxOH2N880ilqFJwtFYZ7c9oVlzsE2dgq3LOkJT+PILC9zY6HFnqw/AQrPAsytVvDClXLDJRMabdzsUXemCEycZ/8d/v0m774GQ9cLv/dl9vvLiIoOxbOIqisLRIMAPEwbjiChJZeR4o0DJNaUgo2zTqjoUbJ17u0PCSDo+7B5NpBOXqVMumNzZHnBvRzr67nc8fnir/Y5krTgnuB07atzd7vPipdb0+3/w7Q2OclfjV24esrZQPjWoiJKM7sBnY2+IoStkQqE7DKY1zPuFEIJJIB39HidCCaKEJJWuJMfOou8GI69JeqMABZ6o7tjYG04H7dsHY8oF69SA+/1g4seoqvKexKY/TojiFAV48ZIkGvzet1KiGLqjgCQRZA/9vK5AcmKIoiAdFTMh0HWVMJKObkutEqahsThTxNA1Ng+GJLmw58Z6j/lmkXLBpD8K8cOEi0tVVubKeGE6jQ2O4xTXNlBVhTjJOBr6iEzkQ1iBF0S4tnRrvLc7kGtSnHF3p8/qQgXPj2lWHBRVwQ9iLFM7c205w1OL77y5RzcfjL9xt8N8Uzo/fdiIYjl4cGyD710/4NZWH5CEgKJjsjpX5tU7HWYbLnP1gnTdDt++EacAqir3ma32hGrBZORFKCh89fMrlAsm379xAMjY5uE4ZOxFDL0QVZX9ha2DEeWC+b7EWX4+CLZMjSCUMbjv1zHu22/sT4cer95qs9AsPHE61dMOVVW4sFR92++XCyaTXKypacqZkO4pQ5DX/9WShW3qeIH8LN+41yFOBAVHZzgKeP1ulzBOMIXK+t5w6qicpBk7B0MqBYsklYMSxzKwDCnKmG0WmKkVMHSN7fZoWmsORhMUhWmyVhSnUzLAJJDDljlNQ9MU2j0PRVERCMI4ww8jyq5JnKbcWO9OH2foKjN1hziR7plzjcLUUCUVMj3wOJmvcsLZrlx48P/3jsZ8+7Vdkkww8mL+yzfX+fyVOcIoRghBfxSyPCMJZSeNF6I4O0WUHk5CgjAhyYQkbUUJ3VFIuWDg2maegsC73i9SGJ3ItLITzXZNU7m4XD31syfXpOO/yQti3rjbmT7X/d3hdLDVG4bTcwnA/d0hXp5CvL43pFwwP7SUgI8DWwcjbp7sYV8/4Oc+t/wJv6pPH6SZjrxnkiTj3//BDfrjkL3OhME4QmTSCVNe3zp/4SeXCeI1FATDcczvfeseJVeS84IoRlEUSq6BAHqjAFCQ/vGC3fYEVAVdVQnijFQIZhsO5+crvHR5hlub8vM66E2k8CEXaiRJSsk1cG1JeqyVLbYOpPioNwqZbaQUHdnXALBMjbJrMPFNesOQJJXniIJjsHs0ZudQkiTjJKNgG1NxqHZif3vl5iFjL0IgxRCfvTzDH/9gm8FY7v1v3esw33BZni1NSaVZJigXTK7l8wNVVSkXTbJMcHenT5oKNE0h3u7z2cszH2py5rGZxsm1YezHvHn3aOoOvHUw5vp6h+cvtt7pqc5whk8V3rzfYetApuFsH455816Xzzzz+Gu44BjT+V0QPnDujpNMkklPJDm8GxZaRf63X3gWkAL63/3GvekM7uZGj1/5qQuPfdx+VyaALc2UCMKEmxtdVmZLIOTa1KjazOsFrq7VKTrGqdc0HEdTp/pO3+ern1/BMXX+5JVtRl5EFGe4juzDFWyDomvSqtjc2OghkA7imQAFhSwT6JrCtbUGL15sEURyHf3e9QMQslecJhlplhLGgiTOyDJZ1+wcjphvSHHGTM1FURQGk5g//sEGYy9BCEEQyaSf3aMxIy9iNIkYe1Huyg+WoVFy5Flvc3/ExeUqr9xs587jBjc3e1xZrU/Fld/44Q62qWM3dEZexKu3D6e94OM6pVayODd3eibVGfhoqhQZPozBWPaXqkULQ1eJcyFHuWA98rMfFk7Wep8UvvvG/rRX8Oa9DvPNwjRh7mnD5sGI4USeA/aOJpQLJpXiO39+D/cE7+0MeP7iA7FAyTURQBDGGLomeQ1RwvX7XUxDm+7pR4OAmZpL0TX5X764CshrauTFPHuuhqoqDPNUgdUFg2dWqoy8mDBOiOOMkRex0CpSL8vXa6g6RpIx8uR1WStaLM+X5P0qBLal06y6HPY8jro+UZQRJrEUZlk6iqow13CplR3Wdwd5yoFg6EcUbJ1yweLcXIkkE7JXqijc2+2zfTiarjOGoVEtmjQrDv/+929z2J2gqhpJmnB45HN1rSn5DqaGZahY+TltbbHC1bU6QSjXp0vLNa5dbE7Xrp+8OsdB18MPZeJYyTUIooSiK3u4WSZoVR2WZotPZNBkGRrP5kYCQZjwH//0Lkkskxi/8+Y+C63C1Fz03XBv58Gs5rDr88qNQ770wgKv3GpPxb7ru0NaFZfLq08uDjnDo1iaKVF05OdimRrtno8Q2ZRPUymYxEmGbWpyfwaurTU5v1ChWbWxbYPX7xxxd7tHBtRKJoNxRJJmp86o8KC3WHJNwijDcmUyx3KzSJwIENLwVdNUHEueHb7z5j69YYgXxPhhwspcSZpIRAmTIKEzCLi73ScVgkkQc3urx+euzE5nSMuzZdIM9toTdtojmTaiyx7HymyRStF8pE/28o0D2j1/Wpv/9EuLjxU89EYB+3mqZjyO2DoYs/YxEARP8n3u7Q4oF8wnnik2Ks6PTQ/0DB8cfhhx1JeJTgB7+fV+DM+Xe+dxatu9vRErs0WiJMPUNW5t9acWc/tdn7/0sxe4drGFoarM1F0mfkwQpRiayuv3jqYk4UkYs743xLUN4jhh4kf88lfW+PmfWAFk/8PQFeabMpHLMnS+cG1+ynXIkDW3qatkQs4zekOfKM6YqTvsHI6n8/Fh3juwTNlnqJdt1hYqzNRczs2XubHek6m9mZApv5OQoit7BZYhReClvG+nIF9CuWCiqQrBQ6RnKSKV64quqVxYrEz3zVubXb752h4ghcz/9vdv8Od/YoVmVSYAdgbBNGHd0DUKjkmlaBLGGSXX4N7OYNqX3W1PmK2/cw0Zxumpue074Ziz91HMZU/OsE6ubff3BlSKT762neFHA64t010mfoyuKcwWnj7hg/UY0dLTLuAA2Nzrf9Iv4T1DpILVhQpRlGBbBkn6MFPm04/OIOAwT2KX5gHjR3orT4KPdSr0K7/yK/zyL/8y9+7do9/vU61WWVtbe2Ji2o8LjpuIj/v3ubkSjqUTpxnVooz42tgfMphEtPsygePq+ToHXY/OQDq7/NH3NtnYH1EtWdRKFkszp500/FAOYQI1xTY0BAJdVYjSjNfuHnF3e0DB1hGZYK5RxNJVdjqSLForWXmzUmUwloPIIEoY+wmKIguFOM4YjEPWFiuUXYONPGVgruGSCsFhzyPLGxxj/4FCz7E0xn6CF8SUHJNatYCuaazOl3n+YgsVOSwMoxQUmbbRGQRTIma5aJIJgQYUXZNnz9XZORwRJxkl12QSxnT7MZMgYdU2GE4CJvlAV1NlbKN8/7NpIblzOGLkx4RxRqvqcO1Ck1bNeUcF1Ss3D3nznhzersyV+OmXlt71GjhelCaBdGhOM0G1ZHF1tf6hDp8+DKRpxlvrXfwgQVUVLi1X37XJd4a3R5yk7LRlY+tpixx7mvETz83yO396j2+/sX8m4jjD+4KqKDJqMsrww4SdozG6rjJTc1AUhaWZIpapUStatC09jyjVUBUZMX97u0+WSZeqZ881+OZru5A3LLrDAE1TsSyNxWaB+WZhuvcIIVjfG9Lu+SSpIM0yolSw1/G44MWsLVUwNJmudTwg0TSF0UQmYwVhylyjwNpSheWZEqvzZaolm5+8Oku5YDIYheiawuahh6EpPLNcI0pSBHDQ9TENlWtrKeNJRJRkiEzkTQJJ4MxOdH+TNJu6smWZAMF0SJimgiwT3NjoMvZiNvaH1MsyNWR5tkiz5tKsOLRqDq/faZ9678N3UZSn2ekm9MOF/8nocJB774PvJfz+n20w8iJev9MmiDMsQzpyfRA3cCEENzd7chClwNpC5ZQLT7vnc39PDsPKRZPLK7UnqpcVRcG2NCaHkthzznn3Uj95KOrhpHPe+8G9ncG0FluaKbLQOkv2OInBOOT2Vl/WvrrKxv6Qw+6E3jhElQF2jwRyJAIsHZJMfs80FJIkI4oESSKvf9PQ2G5PWJwp8sxKHdeSzytcps7sYZSytlhBUxWOBj5F28ibl4KjXKgkchfcldkytzZ7KMBBz6NZdWhWHap5Ak2a38PH2DoY8/qdI4SQjpoLMwXSRIo/nj1XO3NkPsNTieN47WO8k3Di/eLkmuDYuiTln7i3Dnse19d7vHLjgB/cOkQR0hlbVeERxVcORZGDCE1TUYRAURX6wwAvSLi7O+Bzz87kLuBy0O+FCbvtCd2xJDq/fueIq+cb76tRttseT93mB+OQZtXJHepr7yvtLnqoN/Lwv3+csTQjxblhnNKo2GeDkqcI/VHAH3x3kyhKMU2NZ8/VpmSd9f0Bh10vr6EF33lzHz+vVZNUDlYTIXt2lZJDrWyja4ocTuZumIahMhjGeQKtwslC2LI01hbKJBm4loGiCCa+XNtm6y5Fx2S/61EpmJQLBr1RgAA0FfwoQ1ESFGQP8Pg1lwvSlXMSJFSKJp+52GAwiVAUKDgmr9w8wPMTaiWZvtcbheiaysyJocjYk8mDcZyBAiITfPetvWlS8HMXmlNiR6smiQxxkrG2WOaPfrBNlL9HlYLJa3eOANlTvL3ZxwsTdF3lufON6YCxVXPe1snSC2JurMvEE0NXubrWeM8pNw/X1wVbit+TJJsOiB/87Om1NnnY/vRTjofPYmfr9LtjtzNiuz1mtz1mmBscaEgDJD9M+PqrO1xf7/ITV2Z4816XOzv96fnKMjQyASqC7cMJhq7Sqtj0x7HsjWsKaSbPmwIo2tK8od0L+J8/2GGm5nBxuYqha7RqNnd3BpQc6bheKZqszpUYBwkXFiskieCw6xHmpOPzC2WGk1gKM/OaXyDPDn4YE8UZRddECLi+3uWg46EoCoszhbetKQ663iN9/Cg5fQ09fF7PhJDil1zkWS/bOLa8R4/d5NOciHY8F/gwcEw+jZMMXVO5cr7O9uGI3jDk5mYPL4inpLqHX/MZzvBpR/xQH+jd+mzHsC2Z9rO5P2T3aEJvGPJW1HlfM6woTk+dg+L47c8ix73Eds/jrfsdskwwCRNmqi5eKN3I62WLJBG8db+LY+lcOV9H11RaNQdFhZ3DMYc9nz/87jr9cYSmyvNenArCOGU4ibi4XCWMUmxTY2WuzPrukCiSwjddl4eupVaJKBH8v3/vOlqeYqwoMqXgqO8ThAmmqU2JYdWSRck1qZUtCq7BYBQzDiIpehCCvaMJIy9m5MUUHYNy0eTCYhWASsmSZnhlC4Sss1p5L/F4nQ1PrqHi9GfrPXSenQSSYH/1fIOjvkw5mHnIRffbb+xNTX4uLVcl6S7Hna0e335zH4Qkmv70ZxbojkIp8P2IyC/7nQmb+1JwVCtbMo3pE8Cje9XT53Z6jEdq0SfoAzzcE4wfeoxpaNK8yE+wLZn28ztfv8dhxyNMUl56pkXRMR/5XTfXe3zvhrymZuoOP/fZJdqDgO3DMUmS8dv//RZekFBwTFxbJQVEIo1tFKQpjqlrTIIEQxPMNlyu5al+u0cT/DCl3fPYO8oIkgQvTAiimDSVnADT0HFtnYVmgVdvHdIZBJiGRqvm8OIzLbrDkM39EYqAnaMJRVemEYlMzoUcy8AyNebqLrc2e7R7/v+fvT8Lsiw773ux356HM5+Tc+VYc1XP6Aa6QRAAQYLgIF6OV4Np2VcRjhu6DvvFEbL8pgc9OEIvflLYIVsOx7Uirhw3TA2UaIqkKIoECDaARqPHmoesyjnPfM6eRz+snacya+rquQvIfwQiGplZJ/fJs/da3/q+/0AY5+hqiqIoJGnOXMsmjDPKlhCNHMbSTIUgSkmzjJmGfeTMoOsqv/zaKlfXu+z3fOolg3dudDi5UOPCapPeKMAy1Cd2+T/Aft9jfWfE9r6DqkhFaqIkBG1P6Afp31f3BMV54P69JYif3ufki4JTi3X2ex5plvH29Tb/6W/WAWhVTU7MlAVhWJNJix7AQW0cJynXNwaoioxtKgzcCD9I2O+5mLpKluYPpHCAmDXpmoysiJrf1FTGQYIsSTi+MCAzNLHfW7o6mWeK35nh+Ql7PY+SqZGkIn2mNwrRVVkkjMtwcbU5MX45tVinN/L44aURg3HE2IsxDYXuwOfSrS6yLHF2pcFXLt5zrr+/7n7UepwkR9/gZ0UOPLI+5kwI9sc4xicNy9Ro1UyGhfjx/prOMlXKtobrJ9imih+m7HQH5DmYukycpGSHbtftXQc/ypAlUXNJkoTjx5i6wsmFGmM3YuxHNMomQyfkxqYwUiyZGmdXGqiyOIlbhkp/JHiMiiyx0CpxfqXJ0AkpWRobe2Nub4/Ic9HPtHSFn1xrk2WwMl/hwkoDRRGvpUjw0tlpbm4NqZbiiRDi4Dmbqhu8e7MtZpyWRp5LvFv0CMuWxovnZtjad9BUmXrZYK/nC2GK+mCK4PJcBdMQZnbTdeuIIMLxj64zQZhyZ2ckEopkiYWWzW4vJY5FknJn4PHdt7YAmK5b1Mr6JJnqg9aE/jjgxsZgYkhzfrX5SMF8kmZcut0lCFNkWeLcSoPKJzSXHbkR1+72xQzLUI/yWfOiZ308m/iZgiLLqIpYFzRVLowEni4Mx8EDX7u7P2R55ulLgTiMLAk/70v40IjTlJ22S5RkVKyEp1DD8eC5+iPyrT4zNvi1a9cAUfCfOnWKl19+mVOnTj31Ao4oTtnYG7NdEO0/CazOVSbudIoi8czJeyRBSZKYbdq8cGYay1TFYFQWQ1PPj3nrepveKOTEtFDCy7Jw0eyOAnqjgGt3+9za7BGnYmNVVZkXz81wZqmBH4mG4txUGVWVKZkqIydiOA7Y73r4YUIYx8SFo4MsCUdSL0yIkoSSpWKawpFblsSQV1OFa1+rahDHKY6fcG65zrmVBmeXGtRsfaIYzfOcKEpp94VKeHvfoTf2sQ3hHLjVHjPTMDm9WKNkqlCQUwCyNKcz8CcR9MMiUeQwqiWdcytNTkyXSVJxeFxbqNGsmux2Xc6tNDm4HW1DnbhwT9dN5lolsiynNw5FYzTPuVQ4FN1P5nH9mLu7o0mqx6Xb3cn37u6OcZ4gSurEdBkkkeBRsXQMTcEPEgbOF2/BHTghfuEamGX5xFnjGB8NG3sOWZZTsrSiYXaMzwJfLQYQP3h/96lUdh7jCwAJTF2lYmu4nnDPnK3bdAYBUZIgy4JAPdUw0RQJVZYwNYWLJ1sMxyElU8XUVRRZ4tLtLu/fbPP+rQ43Nwf0xwH9kWgm1CoGS7MV+qOAH7y3w+a+g20qTNUMdE0my3PSNC/ikyEIEuGyo6uTeqVeNlhdqPGb3zjNa8/O8c0vLfK7v3CGL1+cmyQ3yLLMxbUW001LkFgLEsj+wMc0NFRFwjZVyHP+8Ls3GRV7W15EjJ9bbohY46Y9afZO1y3mpkooioShKUKkUdJAEs4ZV9Z7bLcd2n0PWZK4szum3feolQ3OrzQmcZynFhvYB25rRdzpH3//NkNHkD/iJGNzf8zm/pgkzTCLBI/2wKc79B9wRnvl3DRjJ6Q79LF0lQsrrcn37myPJxGQw6K5DcLld/CQw92TwvHjiZMYOWx3nCPf3+44k2HYyIkmTtsfhDhJ6Y9CWjWLZtVk7z63lYdhYao0qX8qtn7EFfnDIorTCQkHmLiRPs0YuVERte1/8A9/AMZexFvX9rl0u8u7t9r8h7+8wVtX91FkCUmSyJFQVQntIdqbHJhp2pRsXTjSSKAoItY8zSBLM3Y6Dnd2xpi6IsS/RUpfmuXYpspiIeSabtg8s9bCDWLaA59WzSqcu8TvcryY9Z0hSZpxdqnBhbUWZ5frfOe11YnbtWWolEsa7YFPbxQwdILJv99qO+wWgtQsy9ntffB9eIxjfBHxzMnWZH1s1azJYOCTxG7XnZxb/SBh7USNsi32OAlBfhg4Ae/d6pAmGZIkyJmP4ojIiB6CLAtSd7NuCaesOKVsqVRtnTBMefHsDIos4/hxISoT6UlhlNIZ+nhh8pGa/Nsd8eyP3JDeKCBJhAt/u//R1tBnTjYnh/6ZpvWpJKE8rZAkiZmmcCf/KAKZY3w4BJFIl93uOA/0mj4srm0MJqKDIEz4ydX9SZ0aR4JYtL49ZLfrMvaCidNZlgr3d0tXqVg6pxcrrO+M2NhzqJd0KETlSZLieAEDJ2DkhUzVRF8hjBLOLNZpVE0GowDHj/jGS4vMNG0qtsb5lRZxIcpO0hw3SClZOmVLxzLuub0pisxCq0ylpFMp6XhBiqELkbOuKnSGPlmWk+ew33MZjEWd3R+HguRUEKsP/xWnGxYV697aZxlCJOIFwhn3YJYqScK1+0CgPlW3+fWvrvKVZ+b45VdX0A4VUZdv99gf+AydkJET8sbl3cn32n2f+BD57vD5YafjTnoCcZKx03bu9X2fsFdQsQXp8uCanzs1RaNiMFUXApTD6+tB/w8EsTPLMu7ujj7yuvlxEBQpyjsd94nv8+X5GvWKMHJRFIln1lof8C+O0emHVCyNsRcRp6KHnkvCvTyOUzZ3x1xe7/H+epeNfQc/SJCgIPXltGom5BJ+GJOkGS+fm+MrF+eYb9oYhkKeQ5TkqLIwPLJMdTKz2O95xHGKH8a0e6LnXLY1bEP0IuyCELy2UEOW4cRMmem6yWvPznF2qYGlK2SZODfWyjrX7vT57k+2kCRBXE7TnI3dEXaRVJHnOa4XT87y9+PwWCiKUu7ujpk/dD5t1sxJCs+Rf3f4v2VxppVliWbVwtAVSkUi98OcJ71A9O13u+6EZPZEn9vAJ04yRm7ITsfhynqP/kj06RenyxMCmaErnFttPvHrHuMYXwScXWpg6OJ5MXSFcytPTowvWaJGONjb/CDh1taQu7sjRm5UpER88L7WqpnCTMYJCaP0yEz0fhi6Qn8ccH2jD5KEGyQEBTk7z3MaFZMozugMfdp9j97Ipz8K2e97BQEtYr8gkm11XLY7Dl6QCnFFxaBeMlAUyDKxT6/M15ht2iiqhKpIlG2N2abNy2en6Y0CfvT+Lu2+x+X1Hq+/t8Pd3dE9UaYEVVvjRKtEvWKgqQqGrnJqqY4fJCzMlHD8mP2eh6KIvp5w24+hcCY+cDltVYVwu2zpvHBmmmbV4PpGn819Z5J29Mxaa7JInpgp0zg0X3rt2TlURXyzVjZ4qUjWsAyVpdkKs0UPtzPwubs7ojcMJgIOgOsbA6JDRIT3b/cmvcuDWm9ptsJcq/SBLsEfFQfnTRDpZv6nYLTwJLi41jyyVy1OP7hX3Y+hE35i/cVPEvOHPq+SpVGvfPBM0jJUmsUZg0MpfwfojQLkojYoWxpvXN4jilJKlkgQ3+64E5Okw3h/vTu5p/Z7Pt1RyGyzRJpk7PRc1ndEn16WYezGtCqmMI1KM2oVnTTN2dwbEyUZcy0bXVX48ZV9+qOQZtXED2NhWKXKlE1NJOtkB6TznIqtM9MqUTI1LENF12RsQ6VZMXC8iPWdEXd2xsXbzvnzH97lzu6I+SmLcyt16mWDr1ycQ1UUkjSbCCrSVNQ8z59ukaSCXyFJErYu89a1fX54aZcgSqiVDeanSszULd671eVHl3bxgnt8gqqtc361RbVs0BuH9EcBW22HkqUVZ6OH11vdoXimD5LO9nsed3dHuH7MTseFHJbmhIAkTjKWZstPdB8c4NSJ+qSPparyJC3t/Gpj0ke2LY0zS58fIS7P8yPv+2mFIgs3+8WZCpcK89A8z7m20cfzI2RFJowSOn2fvZ6LIkm8fb3NG5d22dwd0x74eEEyeW6SOCtMHXIUWSRtHIboMQoXeVWRGXkR3YFPq2ZQq+i0GiL9Rddk9gcBJ2bKlCyNKE6plnVycmxD3BtjNxIk8TQTiZqyzNxUmf2+x37fY6vt8MP3drh2Z0CWCp5OnueM3YjBOGC3J/brS7c6R0hxz5xsohR7W6Wkc+oRZg3NqoFlin6BXPwdPwscPu83a+Zxcv1PIeIk/dA9o08Dtqnz9RcXqJQ0amWdb39leXL23et5NArTxFbNpFLSsQwFL0gYe6FIV9CFYUSWgyLnjLyYvZ5Lu+/zxpV9djoOt7eHgmNQMVierXJmscHybAVVkUiSnDhJCWPRV+oMfTrF/uNHMSI3NKfvhFRLOkuzlYIHleMFMUMnJIoyLt/uYepCVNnu++SH1qUzKw0aFZP5VolqSZhXd4YeW3tjbm8PqdgGL5yZ5txKg+dPt7i7O6Q79GkPRJ062yhxZqnB6kKNhekyUZIwdgXP7X7K6gEnc2m28kBa7vOnmjSqepH8FfPimdaE8yoBUZox3yrRqpnMNGzeuXmPK9ge+EiyqLe7w4C51uNnHTsdl94opN0XBt6jx3AFe6NgYrhzwNm7vwb4MDhcux6ZYYUJlqHQGwW0B77oKR3PJn7mMPZE+k9v6Iuk4c7TxweZe0jtXDeffn6m+9HpS58beuOQvZ7HZntMe+h/LA7W54VWzZr01RRF+shJnZ9Zpfibv/mbPPvss/zu7/4uv/Ebv0G1+vQ7zGdZzuXbvYnS0PFjzi5/fOcPXVf5ta+u0R8HlCz1oZGVZUvj+dPTbLcdtrsuWZqzsedQqxjckUdEsYgzC7MUPxKDzyhJGYwCNE2mYhk8d3qKM0sNbFNFVWVW56pIslCAVks6ez2fm1sDRl5E2dLxhwHtQcBuVyjzbxWqWC9MQIJvvrhAksLmnkN36CMrKnGcYKgyAyciTsaYhkLJ0vjSuVkkScQRvfrMHMNiqOuHKbe3hyRpyts3Ojh+TLvvEcQZsw2ZzbbDZtulPQgmUepelLC9PxaN2YFPkmbUKyZxQXI5jAPV6UHs8EFzSlVknj89TaWkMnJjZhulCYlRlmV+8ZVFOgOfjBxVFq7JYy/ixuaAzbbDb379JKauCleu9d6kiAnjFF1TRFoIolGjqx+snZpp2lTLOrah4gX3GpGPS/z4vHD/NX0Rr/Fpwp1dkVSzOl996kVuTxMurLWolUV07Hs3O7x4dubzvqRjPGWwDJWVuSpRMWzTNbG3npgq8cxqi794cxMvSOgNxdBgqmFTr+iChFUyqFUM4ihlf+gz9mPRnEAUfBt7Yxany/hhwm7Po933+C9vbJDncH2jT62soxXN1BPTJdwwRlcVxl7EXtfDNlV+uLsnCOCmxsiLOL/SRFfliWDxcegMgwm5wW3ElCyV6YZNkmZ8/+0tkkzsjVKW8exag6lama88M8eFtRaaKk9c6xRFRtcUnj89TRQLslcUp+x2XTqDAMeLeOtam6m6hePF6LpEtaQTJ2nhhCsKX9tU+Y2fP8lwHPDv//ImW8UA7/bOiH/4289y5U5/IrYYOhEXVpuEUUq1iBe/v1EfJhmrJ6pCJFMyJqJWAMO4t6eZuoIsySIWVBWuRR8V9++VmnL0tQ7+bgBIT763yrI8iVB/2O95GBpVkxfOTBMnGbapfqy9R4gR7hk+a09Q83yR4XgRV+7cG0qnac7MRyQQC1fnHu/d7HFnd0Rn6BMXz0EYp1iGQp5BLqW43oPOrVkGYZgyVTXoO6AqEmMvniTNxKkYRl2+06Nc0vm1r65iGSolUyFOhZg5yzIONPyOH09IFl4Qo2tHPytDUyY16HTdYnW+eqSGTTMhvq7a2qTpeABZOvrZa8e14TGeUqwt1JiuW/hhQqtmThySPkncv07PNGz+N7/5LDfuDugOxZDy3Rtd0jQnTjPCKCFKHk04zABdygEJU5eQEM7WiiQxXRfrl2movHBmmtX5Cu2+z3/+0V1ubQ5RZAnL0Jhu2Jw6Uf1IxBtVkYiyHFmWRSJI8fbUj7gfnF5qMNcqEUQJzeqn8xkc4xgfhDTNJu7rAF6QcHqx/pFf7/5Uh6EToRT39rW7A4ZuSJYJN6goEcNTAEPX+bu/eIbuOGSqbvDjq23SNEeSJAZjn+mGLeoDN2Kv7wMSYZRyd8/l3EqDJM0E4XFTOLiN/Zj/6U+u0CgIOv/ljQ0GTlg4urnomkSjUkKsKPCVi3M4fky9qpMk+cRhyw1iZOmeOcv6zmhC1Lix2WdjTwxxtjoOSZpNGtiuH0/ckw1d45svnRCunJrK1btdxm6MkkvkOZxZrDNVt9FU+QFnt7Ktc3ZZ1DT7Pe9e8h/Cse7g2lq1e0MYWZYmXwe4cqc3OT94QTwZPmZ5zvruvfdzcI76IEiSxLnlBn6YoBZnoBMz5YfW21N1i0pJL5IDhGP4QS2dZtlHbvh/WCRFym4yuc9jTj3Bfa6rMr/62upje9jHOApVlQjiDEWV0fIcRVaK1MqcKMmIkggzybi2PqBkqyRphiTJ2IYgSZdMjTwTyR1TDZONjsN8o0QcZ3R6ghAgASXb4re+foofXNoljMTAXtcVkIRQXZJgv+9TL+tUywZxkjH2Ik5MlfnuW1s0K2bh0qmjayo/urSLLMvUSjpJJtI/dzsuvVGApsqcXRYuj4ahoKkiSTtKUk7MlDH1h4+gZhqiRxFECft9n3bfR5YlXn12nlpJp1ExH6ghZEkMwupFCrRtatTKJi+cEalAE4Omh5AIojjl0u17ffsoTll+wmh7VZEZjAUJHMQRsVrSMXWVsq3z9RcWWJ6rUivp6I94v8c4xhcV1bLBb37jFCMnpFo2PnQC1eEzTX8c4voxJUvjzu6IHGFiA4/f1wZOxEzDEiIwVWFu6uG9lwMidbWkYxoqJkKoGkTpZL3QNZnuMGTkRsiyRN8JqZUMoiRju+MwcmI0RWZrfwxIhHGCpspMVS00TUbTZLrDCE2NSNKMEzMSr1ycoT3w2JAkvCAmz2G76zH2RB13Z2dEloukHtdPeO25GQxdYeQEhFGGpimUyMkliamKwa3NoTDU6Hk0Sga2qdEd+mSInp6myTSqOhVbp1k1WZwp8/6tniBK59AbBqzvjIhTsXZf3+jzyoU5njnZYnGmTJykTNWP/g1PLzX473/refpjn/lWedL7PIy9nsedHTGfynKHNM9RioVVVWUOL8mmrjA+5OdmGp+++66myJNaRZKYiFI+a6zO15iqiV7Bw/aq+zFyI67e7U/6i3nOh05M+LRQKxu8cGaKKM6wDPWJ+wCnF+t4UzGyLD2wz9//uVimxtgTLr2zDZtzS3WePT31gJO0qSt4B3176aAXL8Q7YzcijBKSLEMCbEtnbb5CZxiw13XJcmj3AyxTJUoyBk7AwIkoWSIt48RUiSwH21LRjRK9YYCiSOjIZGnOylyNtYUqVeteLVu2NKolgyzP+a9vbuMFCXt9l932mPfv9InjlDgVqexrCzXqFZPpus3QDZGK/sryfIWyoYl6Q5LZ73tUSyIZ+a/f3eXu7piKrfOjS7siNaRm8edvbE7EPlsF/+CgF5LnsLk3ngh0P6j33+773N4eAkwSFw9c2vf7/uQzWJ2rMlO3OLNc58QTiJIOwzZVfv1rYlYjUlLE/TBVt/ntb55i7EbUKuYTcSM+LWzuO0Kwgnjfz55qPbI+fVqgFdwTCWEeN/Zj3DBlfWfI4nSFiq3xxpU9puoW+30X10u4eLKFFybEcUaSZKQ5UJgmWLpEnOZEMWiquLdUVcU2NJIsoz3wsQyV3jhg7MdUSwZqkKDIMhKiz/Gtl5eYbVpst110TRB8ayUDRZFoDzyGQyGiyoHzq3XiJGW369Efh9zaFmYXe32PPIN6WWdlrsKZpQZ//sbGRLQXFEmbB5ifKvNb3ziN60ePXY8V5V46p64pn9ncarZpUyvrZFl+THL+KUSWiR7OwSz3SXtGn861ZDh+wtJMFVkWa93hs6+myrz6zBxekGCZKm9e3cfQhJN+lotegZWKVCtLV7iy3p009vtuwE1FmST26JrCbx1a3zc7DtWS6GUqCoycmDgWP5ykwizG0JTCfObodUdxhqEpEzGWpimT/qskwdnlJrahih6eBDttl3rFoFk1xdq0H9CTQzb2HZbmKjQqJo1iG9vpjSYmOq4f8eWLsyRphixLbO2PBa8wy3HDeHLOfxJEScbyTAVb19B1mXLJoFE2iRKR6tEfhwyK5NC9nsvhrTpHmN5UbG2SbvI49IYB7eLaBk7EhbVH31/3z2HHbjQxntjteVxYbT6xadf9tauqHq3ZwiilYgtxbhilwoDneA78M4U4SXjrenuSkikDzxUmAU8LDM144GvV6oNfe9pQ/RBi7C8K3rnepj0Qa91GEHN3Z/zU8TU1VebZU1MEYYKhKx+ZN/2ZnVD+yT/5J/y7f/fv+Kf/9J/yz/7ZP+Pb3/42v/u7v8vXvva1z+oSPnFEcXokKmrkPj5hYa8nhhuaJnNyofaAavMwVFWeuGE/DEGU8L23thmOA7TCzTrJMoZuyHbb4UeX9pht2sw2LRamSzheSGcYYugKhqaiKMKV1/Ei3r/d4cp6Tzh/5cLx+cxyHcixdIWKraPIMkmasN0Wjc0kTYv/QRgFqIrE3V0HWZExdIlaySJJM5TCmdwLEmplnUbVZFQMhZM0ozsMUBQZ29JIs3ySQNIdiWsNopQ4TTE0BUmCLBWDXl1VkGWJxdkKm/tjQTapW3RHPqOiMdOqWaIwva93KEkSlZLBudUGG3tjwlgUFgMnpFoymamXmW5YR5yoZVlmplni268s8+Mr+6RZzvJslSzLuXK7h+fFXDzV4tSJ2hG3urEX8fUXT/CD93fJ85wXzkw/8SDH1FXOrTS4uTUUpL2GRa38xds0amWDhekS3UGAYSgsz324Bs8xjuKgSb5y/Hf8TKHIEq89O8+fvH6H77+789QVBcf4/NGqGny/57KxNy7I2Bm9sc/Yjfi//Os3cfyYF063UFUFWVZYmBKuNJqq8HvfOsW/+uMr7Hc9ZhsWc80SG/vjggmfo6oybpigqDJJmrF/yDHf0FTCKMOuiL2l3fcxdIXBOGDkRYzcmJ2uSxgllEyVkqkxLuqVH76/yw8v76LJEhdOtqjZBlONo07jjYrJ0kyZvZ6HqkookoTrJ7hBzH7XY+zFWIZClKTkskyjZjM/I9yadE3h9vYQ14uplvWJOE1T5UmTVFVkwqhwJ5GEm11e7KMV28TQVbKMoo64t6HrRZ3UO6TEHrsR3WEwIWCBqBmCMCGMU4xi/72/XmsPfExdw9RFE7U7DCb77ep8jXbfZ2N3zGvPztEbRWTkvPbMHLXyRx+2WYbK6nyVnaIuXFs4Shw5uVDj5pZIQphvlR5ZM+50HH54aQ9y+NL5GZZmK5xarLGxN0aSJFbnn4yQomvKJxJ1qigypxfrbOyL37/2hL//i4qxF3PYJnrkRR9ZxOF4YsiPJJyt4uKetE2VLE3xw6yInJWxDI3xfc27JBPO9qahkKQ5fpAQJ4UzdQ5IEqoqYo+39sf8yd+sk+U5IzeibOskac71jQFZmqPrCiMnnHzmfpiwdqJFlo2J4pTZls10w+b29hDHi0Sqzn3uuWGUiAZr8VytLFRx3Bg/iHnutHCb7o9CLFPlxMwnn15wjGN8VijbOuVPKHb6YVieqxAnKXd2xmKo2fdZO1GjUtYZeRFpkjIYB0w1TIYb4RHn00chiEGVc+IEZCmjURXu71GS0qya7HRc/h//7h2m6iLh82vPL5BlOXs9n+m6xSsXZji1+NHMKU4vNbi9PUTXZOZalogvt/WPRUL+tD+DYxzjg3DgSHqAD+r9fRCeWWsxGAd0Bj7NmkmjrHN7Z4SERJwIQkGW5aDp5HmMGybIksSZpRqri3VmgwTHj4S7tRsjS4KsXLZ1gjAll4QDZRhlk97bQa231R6ztT8mjDNUVZAtwjAlzXPqZYOl2TKSJKMqMhdWp0SyXZbzCy8t0BmFbHcc4tTm268ss1OksD5zskV3JATZtqHBofrc9RMsQy1qFqkwb0mQZYkkK09EHJahUquY7HR9JDnluVNTXF7vEYQpc1M21ZJByfpgwsOpxRq3t0ckacYLp6e4vTVgt+dRKel880uLWKZw81yarUyGi0maHTk/aJqC40eFY69xxClz/CE+e0mSjpA0DtfbP7m6z+2tISVb42vPL4g1TlOKRN97rzFyo89MxBGEyRFH0/ETpAgf4IN62McQ5I71nRFjNyLLUiBnpmax0/OK5JcMy1SJvQS5IC3GacZs3WLkJGR5hIxCFCVEUcrQDYniTNTuzRJ34xFuGIMkC/dPCSE4GPj8ymsr/NH3bjNwIs4u1ZEkGf3AIMEQ5+2N3TG9cYCpqzReMwiL36EqogeR5zn7fZFqqWsKvhNO7pFayWDkhdzZGbMyX+GkUWOuZYtnqGaycp9IIs3ySZ9A12RURScb50ec29M0O3JPZcW/cbyYSknn5EKNzfbRM6+mKg9N3jgMN4iP9O0/zHo+07ALgYqMqavCBKusCydhRZzpj4lZx3iaIUvCvXW77dKqmyw+JAUnSTNubQ3xg0Qk5RRpn8tzFSE4D1MqljYhUPpBSk4+EXEc3tcOr4uVko4kiRlctejH7fY8NvbGZHnO4kxlklh+0KdRZJln1pqs746xdJVrG32iOKVRNZmfKtOoGGy3PXa6DtfuDHjj0i5zLRtD0zB0hcVpm2t3e4SxWOMkKWd5rsLCVJk8E/3QJMvJ85ypmkg4blUt/CDFM1VUWSaMU5ZnKwzdULiXF30ZVQFVUZhvmkUfNUZVJQbjFDeI6QwDbF3FtjS8MEXTZDpDj92eh2Vo1Ks6Ui5RLxtstcds7o2LdCEZo0gd2+kKEV2UZCiKxE7nHvHscTPEalmfpIU9DIdrHVmSef70FHeL5IGXz88cEdW/9uw8f/3ONkGQcGal8YBo5NPA4Vpvcab8gev+p4kPc051vOhof9GNvjAiDniyPfRheNS+16qJRNCDvuDzp6f4wfs7dAZCeH5hrcVfvLHByAk5MVPm1WfnAfjqs/N8/51twiTjwmqDesUkTTOaNZM0y1lbqDHyosLZ1BapFg2LWlmnO/DZ74nex2AcEieCXFgt6XRHPlc3YmYaFsuzFbJcJPqUbR0Jkb7XqJh86fwspxbr3NoasjxXoTsKMDWV+Skbz49RFXF+en+9x9iLBCE1z+mPQ/LtIarscGdnyKsXZ1icLtMZBsw2bOambboDkYRoaCp3doas7465dneAqshUir7tdkFM3e44IpUoTpFykeZjmTppJlLbgihBU2QsU7y/Ny7vcndnTLmk8XPPLfDW9Tb7XY9GzWThcEpKDns9H7MQcGVZzvyUzWAsBGurC1VmPmJNrz/iPGDq6hdCLHH4bJNlOa4ffyGu6+PgN762xn/+0YZI5jtfwjQ0ojhBLs7zYZTihgnTkgRI7HSFkEWWJWq2ThCKtD9FlVFlCSQJWc6xDDHj0VQZRZEJkwQvSITzuq4wGAvX/sXZEqvzdXRVYWW+yoVVcbZXFYVqyWBjf8T69ggvjCkZOpsdBzkH29bQVSEQmaqJdXDoBISRSCCtWIUwW5GQZAldE6ZqSZrihymSBDc2BpxarE3MEWxTzFgcL+Kv39jG9WLWTtR46dwM221HzEwNhZMLtSfqK3zSeNrvtWM8GsJw6R5X8MP0jD5peEGC48UTId1u1z2ypsuKNJkX6prM0kyJ/iggijPqFYOhExbpVELEERUplLIEU1hotoIfxqiqjB8mR9b3F89OMXZCwjhjZb7CfKs8ESc0qgamobHbcdA1mZP3zcItQ5gke0HCVN3il768xA/f3yNMUr5yYW6yToA4q/zhX91kY8/B0GVePjeFbd0jK8dxyvr2kLEbcX61yXzTZrfrkeU5UzWLLL8npgpj0QvsjwUnMYyOzmODSKQLxnHG3FTpSDp4bxiSI9Eqajk/SKiVctp9n0bV4MR0WaxpUUq5pHPqRJUbm0OiJOPccp2bW0PWt0cgwYWV5mOFP5ah4vgRQZgy27SPGNLcj0bVnPRiLFNFkpiIOMjF/fk4Ecdu12Wv66FpMpausNf18IJ4wlmUTAjClGbNpN33J7VjnGSEcYp9LOL4mYIfZpQtHdcXou6n0Zx6faf7wNe2O2MWpp5unmbtKRRxuH5MnGTC0EKVGbofPj3oiwBFlj52rfmZVY2///u/z+///u9z8+ZN/uAP/oD/8B/+A3/0R3/E3Nwcv/M7v8Pv/M7vsLy8/FldzicCXVMwNGUi5DhM+r8fXhBPyNlhnLK+M+L8Y6K1kyR7rIvZT66IgZ8bRlRLwolFkWWiMOXm5oBqScSat4cBizMV0jSnUQ1EXJYbosoyVVvj9vaQMEoYe+KQTi6hqVKhmJM4s9IgzyVkKefWzhhdEw5gIoZXQiInyXPSJGcw8pAVlS9dmCZOc9IsZ+AEzDVKDJyYMEyRJYkLay2qZZ123yf0InRN4Zm1Jnd2x5Nh5VTNZLZpi3SLMC5cQDQyEkqWiDkNwpiZZom5VglDa9Pp+xiacPpamC6jKBJRnJJmGY4XT5we8jzHCxJKpkgzefdGh87QI01yFFViqmoeKQgPY3G2QqtuUbZUdroed/fGBJEY9l653Zu8/sEmpaky9YrBb33j1ENfL81ygseo/jVVeSLF9oEDwf0xjFGUMCwa4U96SPyga3oYFmcqD23sH+PDY/1AxPGUE1+fRhyIOF5/d4f/4Xee/9Riv4/x04lrGwN6o5A0y3D9mMXpShED7FK2hHDi5taQxdkqU3WTkqlRLxtUS2Lg83/4X7yMF0T8x++uEyWpiBbOoVE2aPd9TFVBkcSQcqYgU0eJcO+fbZUI4xRFhrKtMRiHpLlFnoq4zEZZZ+zF9J2QmWYJy1DZ2B3xFz++S5rmuEHCXs/jV7+6xta+Q9nSqJVFTLhwYK1xarHOnd3RRJgxdEIWpsvc2BwSxsJdQldknjvVwjREDbLbdekNBYmr3feRi/jRKM7oj31mWmUhFi1pk8HHAVnc8WLCKGG/5zFdN8nzfOLM44cxZ5fF3jjTsNnriUFlydYwdQVdk4liQUAqWRqmoWJoimg4ydIDA4XpukW775NmwvHDMlSiorZL0oxXLszy5YtzgHD3DeOE2VaZdt/7UPurFxx1J5tp2g8IArLCUVVTZZ4poscfh+/+ZJsoEdf6vbe3+Nu/eLZwGvnkDmgfti5oVM2iTnz6UbE1YT1d1KfVj0EiLtsakgTNikWn72NqClmaULFMolhDNyCOM7wwJklSdE24Cx7iGJFkMPYjwli4zon0DFGny4oYuKiKEGi0NYWhGyHJElGSFS5VErWSQRinOEFMrSQG+1bhZDNVN484oz3OZdzQ1SPP2mzD5usvHCV9L889+O/SNCOI0o/sQvBRattj/PTBCyJc/8kcL7/o0FSFZs1i5IpBQW8UIMmQZzm7HZc4FemSrhdTLmkEYYrjJx/wqmK9yMlQFPGMz0+VWZmrMPYiNvfHOH5MbxRi6WLY+ne/cw5LV7GMj5fIVLY0njs19eD1pBmun2Aa6gNum/fj4Dn/JJysH3VOPsYxPgxMXdRAB0KOj1MPgCC8//wLJwiiFE2R+MPv3qJZFfW9FyS4gRBZ2IYgMpZLOrIkoakKaws1ojilN/YZjkPCKEWWRbJE2dIpW2LQWCtpREaOrihHiXp5juPH5JkYbrpBMqnv2n2PtYXKhIBXsXVaNYMkzWkPQ8ZuRMnSiOKUu/tj7MJt+XDtl+c5797sMByHSJLE0myZzkCcB4QRTM6NzT6Gpggn6QJ+mDB2I6brInEnTjK+dG4WEO/Nvq/5fWDGcv+aZZvapIZ+53obWZEnZNGRG/JaQRA78nkoMpapToQccZIWf0udPM8JohRZEmvxVOPjk+12Og7v3xJDIi9M+NGlPb71yhJwr1486I0+rs/8YRBEyQc64JqGSJI8EHI8qTvfMZ4M+33vSHLdTLOEritsdhwMTcUyZLwwZaomzqIlS8UyFCoVk7MrCr2Bz83tEZIk4QUpYZSgqgpRktMdBSzPVEWX/uDmySU0TWGv5zHTtPnFV5aIk4w4zekNfeJEJHuVDBXknLEfk+U5jh/xzvUOJ6bLIqUyPDBWkiZ9CBDn7DjJGLkxqiJhGyoL0yV0VebW9pAXzkw/kHDRHwVIkkgEPOgThLFIIj61WOf9W93JvV85dO9nWcal2z26Q2FmsbE/4vnT0zz/ERz+SqZ2JLny4PcEUfKB7riyLHFhpYl1UJtIMF23KVnacZ1xjJ8KbOw5E3f27bZLxdYfEANs7I0nrrI7HZeyrdGomEdmWIeTHAxdJkoy0kyk5CRpysiLqNr6kXUxHPhHnnuAzsCbpNa+/u42L52bYX6qfKRPY+gav/LaKu/f7CIVwtWDvqkfasRpzvff3SZMU9I059J6n1OLdcxEoWKLfmGaCafgHJl6yeTZU1OQi/7fgeBzYbpMkmY0q8JhN8tM5lolkUra96mWDDr9AD+KUWQZU9OYnyoxU7exbY3uwMP1YoZORJZn5EjkWY6lq7RqBlttl6Ebkec5YZTg+TLPnpyiXjXpDQKSLMPxY6bq1sTNu2So+FFa9EtzojgpUp2EWZ2qSEdEFU/ai6mUdNp9j7gQAZ9ZavDSQ8yu4kSQbb98QdRrhxPPPk0crvWeBF+U3kHZ1o/2Fz+hGu+jIilIp09yPv+oODFToVWzJv3kb35pafK977+zzVbbEbP7uzEzTZu1hRqNqsnf+vmTR15HUWSm6xYlU2N1vsrIFfOXkqmRZRlxkvLsySk6Q49esT7NNkvMTwni5n7Pww8SKiWdkRviRxZLM1WePz3Fzc0hkiRSpX/zGyeZny6TZTmLM2XGXmuSlhjECXd3RnQGAdsdh1pZZ+SFBFGCrMjosozrxUBMGMVcujPgF18WfJcoSdjadXC8iByK9JyQ/jhCkSVcP8LxI0zDolE1kCTBzwjCe8TSzbYDSJM0QVNXUVSZpdkKSZpxY2NAnGaMvIg/+C/XQZJQZAlvXyQiHiQoIsFs05qs9bIs0apaj0ze6I9EvfbT0Oev2DqOJ/pu8idArvo8MXRCXC9CU2X+/q+dx9JVfnK1jRNEyJJI3JRlCctUqFo6XiBMl9wgwTY1oiQliBMWpsv0RgFxKs5/jYpJluVk5BiajKJIDEcRfpiRZmIu6UdiP63YGpahM920ee5ki5m6NRH5JWnK5v6Id653in1ZYr03RFFkkjxDljSW5qq8eHaK9e0Rrh8BglxuaApBDmdXa4RhyqnFKrJcJFtOlxm5Eaah0h54VEv6A7O1H13ao90XtcX7t7qULG1St4Rxyt3dMaeX6p/ZZ3WMn35oilwIAMSM9rPoo3hBgus/2N+xTZWyrU3WutmWjSSJfpsiC2GWqshMNyw0VaZk6Zw6UQdAUSSyLGW/F5DnoKsSG/tj0jQlR7xGydaQJRkZ0Wef1BK6wspsjfxFwcurVwx07Z5548Gcc6pqoGsK89NHDd+CKMU2NWxT9MOm6zb//W8/d+RnukORHPXDSzvc2ByImXUk8faNLl997sS9nxsFk9SuzT2HU0s15qdKkxRNXVXY2BsV5pgJfnTY/DE50jtb3x7RLzgfQZRQsbVJv6BZM470z0xDvfc7CmOeA7NMSYLluSrnV1vF5xfzJ6/fmfSYb2wO+OVXVx75eftRMun3ZjkPJJkcvKaiyBiawvJcdTKXbff9eyIOiQfOW/e/xt1dIdwO45TdjitI1DnESUScZJxarE9Sj4Iomby2EJp/fsLqY3w+aNUMamUdXZNRJImFqc/GhOiTxMVTc4ePaEjw1As4AIaO/8E/9EWEJOr0LM8/s8S0LyI+8w7zqVOn+Mf/+B/zj/7RP+Kv/uqv+Lf/9t/yL//lv+Rf/It/waVLlz7ry/lYkGWJC2tN9noeiiwx+xh3tCQ9uqMeHIoehihK+JMf3GHoCEeJb7y0eMQVG+Dm9oDX398hzXJ0TWFlrsLybJn9vodlahPH5jBKaFYN/MAGCW5uDtluO8KJT5XYajvCGZicNM0J4wQphJubAyxT5YUzS0jA+s6YZs1kpm7jBhFRFKOrMkEmohplSSLJwNRkyGCr7RKEQkDRqgjRgyJLGLrC+eUGe32fW9vDotmqcGaxzvnVJv1RIFI1Gha/9OUVLt3ucHa5gSTl5Eg0KwZRkvKTq21ubg3RdYXvfGWZ9iDg2sZALKzTJWxTZexFvP7eDpfX+9TLOiVb5ztfWWFzfzyJjT+9WOf6Rp/rGwOGTkhvHLI8U2G6YfH3f/0i1n2Rwht7Y3Y6LiVLY65l40cJMw2riKD3uLk1YH6qzHTVZOCE9IYB/VHI8lzlAfe8OMm4dLtLGKUoisT5leZHahxs7o/ZbgsHxLmWPRmSOV7En75+By9M0FWFX351+QObLUkqrikIxTWdW2lSfoqbGU8j7hQF8v1Odcf49PHCmSlKlkZ/HPLuzQ4vnHm6It+O8fliv+fy+jvbRGkqXG78hKQYaGFp1CsGtZLBynyFNy7t8aPLu9TKxhHigW3q/PKry1y72+e5U01kWWZz32F9d0jPCdADBVURjfPF2TIbu2OaVRPbVBm5Ec2qhWkqjNyI/jgUTjqSGBQ1ahbTdYtm1aQ/DrizM2K7I2KNgzDBMu6t9UmacXt7yPff2RaxniWd50638IIY2xQC0OE4JEtzGlUdx0+o2ToX1hoszFRoVsXvORClgXBw6A593r7R5p3rbTRVoVLS+V//+gUWZyroqoIXJsiyiAfd73ts7I6RJDFoyPKct66JvV+WZVbmqvzv/vYL/N1fOsN339khjBIaVYMrdwYgQatqYhjKxM3T0BVGbeFUvLpQO/LZnTpR4+7uCDdIUBSJu7sjLt0WA+CyqVEr65xdbvC9t7f5/jvbJElGmKScXWqgqjLf/vLSB7rN3dgcTIgqD6sJQAg4rtzp4XgxkgRnlhrUK492z8uyjCi95/KSpjlJlqHyyR1skjTj8u3exDH5/ErjZ8oNvWzrnFtuMHRCSpZG6xEi3yeBbWqcX23SHfrs9z38IslC6rkoikKeiybngRs2OUcEHAcYu4JgKMtCZKJrMlkmCIimrmCbKnGacWm9NxnaG5rCzH0uLYszFaolMfxXZIk//O5NkiTDtjR+9bXViWPPo6DIQpi9/wTnoAOEccqlW13iRLh/X1xtPjaZ8H6MvIg/e30dP0wnZ4D6U+gocYyPh429MX/1k03yHBoVg19+bfWRhNSnBckRh/+Qn1zdp2Rp7PVc9vs+AyegOwgQJ+Inhx+mlG3Rt0jTlN2uw7W7Q9I0Q9cVZEni3Ztd3r/dJQfOLjU4v9rkzFL9E3XO8YKYy+s90jTH0BUurjUf6fI5dEL+9Ad3CAuC0XdeXfnIaZR3d0fsdoXQc36qNHEKPsYxPiwURebCWpN23xeur82PN5QIooTLt3vESYYsw1TDwvWF+77jR/zgkjNxHaqWNfygECebKm9fbxfOoSGaKup+WZaYm9KZadjESYpt2vSGAZ2hg64q/PrXltE1DS9ImG1Y3N4e4wQRqiyjFu6WB725509PU7JEiu4ff3+dK3d6AFimwmxDvG9Zkrh29xrdoRjWPbPW5H//d14CRPqEZWhs7jlIEjx7ukUYpnSHAa2ayT/7f/+I/jgECcZOxK99dQ0QRMDttosbiGHzylyZlfkqYSSc+A4PA7tDn5tbop94UKc/bM2SijNBGKUT5/xH4fxKk72e6KuFkbjeg/ejypIQxkoSqwsfv0/jh+mR/x8ccm08qBcP90Y/LrpDnz//4QZRkmIbKr/6cysPNQtSFVGbtQc+qiIfcRk8xsfH4TQfgFefmeX//P/6ISMnIssiNE08O6YmMV0z6Y0DvDDlv/54c+KYGKcZsiyhKjlZLiNLEnkO9YrBmZU6rbpJb+hz+U6PPAeZnNvbI8auEFXpqkKSidTtIE5wPUForJR0sixDUWQUKWfsRnz9l08QJxnLcxUh0rB0pmom7YFPWIgt4ySlHKhMNyzGXkxn4NNBiJGePdmCQ8/t6+/tcGNjAECzdtQ8KUkzbFPjwmqT3ijANNSJY2iSZPzZD+9ya2vAXs9j5Ibomsrl2z3+t//tC5StD3c21TVRh3QGPrqmMNu02e26E7LCVN3i5InaI//9TNNGliW8IMYLhDMnHNcZx/jpQJwc3Z+Sh8wv7//a/WsbwGzTRpElhk7AXi8jRyQDDd2AJIE3r7Z57Zm5CWHqAGVLY65pM/IiaiWDG5sDsiznu29tsdfzeOt6h6+9sMA3X1p8oE/zo2iX9sAnSYTo8p3rHRpVUySYpjmWptAPhXO444RMnahSrxicXqzz/s0uiSzc7a/e6XNza8iJ6TKmofLKhRmaFeE0e+WOEJM5fkzF0lFVYWTTLYSuSzMl3r7RYXN/TK2s8/q7u3hBTJRkVCxB+qpXdKI4RVVlGmWDesWgVTVY3xkRxynIkkgTjhJubvVRFBi7MWnRt2nWTEZuRJbDTMPipbPTbO6PGXuiTvmvP95gv++zsT+mVIgdvvXyElGccul2d5IcdGGt+UjxWcnSCKIUL4hp1qyJY/9huH7En/3wrpiVdl2WZ6usLVT55a8sH0nq+Lyx1Xb4q59skqY5tbLOr7y68rFNAj4qqiXRXxw4IeWP2V/8uPCCmCvrfZJUmBldPPno8/lHxQfNmYdOyH5POGNriiySSh6Dc0Wt/qc/uMt2e8zIjTm9WCXPJQZuyH/+4Qb1soEfiMSuEzMVXjo7w9vXhPljnGT4YUIcpzQrIVE84PRiXZzHJJmypXJza8ibV9ukec5O26FeNoSBjKHS7ntcudWjOw4YexElQ8XUVMIkAySiJMILxfnDDWRa45BzKw029sZcuSrWjvYgoFkzmK5YBHFKnOQiAUkWZPnpusXmvoPjxyxM2fSdEEmWaFQMyCXSokksyRLLcxXcIC7SQvyiPksZezGaJlE2dVp1E10VRqSnFms4fky9bFArG+z3PIIooVWzHtmX/cF7O1wvardzK42JwdXTisWZshAIHLzvp9QY6N2bHV5/b4f3bnbQCsOC589MEUQZOx2HuWaJX3hxEacg9CZpyrs3egRBUgizc+JCXBlECeLRFyIJ2xJGaLIkEUQxu10Pz09IsrxI/1TJcxnbFPyYIIz5izfu8v7NLrap8r/8lfO8faPDuzc6vHO9TZikQqxYNxl6EXZxr/lhStXW+Ms3t9jedxi4IVGSMt8sUSkbPHtqiju7Q/Z6Pt1hwAtnp3nh9DT7fRcvTKiXDe7sjJh/yCziwHT3AN59SecPq1uOcYyPA1mWuLjWZLfrid7cp9xH2et5/Jc37hZiKp1f+erKZD2TZZnvvLrM+7d6KIrMxZUGl+70GLvCULlkqqzvjEjTHEWReOX8LIszFcZuxOpCjfXtAf/+r26RZhnnlupcudvnoPR3gpip3MINInRVoVbSJ0ItQ1PQDZkrd3okScbSbIXvvLpCZyhIxNN1iz/74V3u7IxQFJm51tG/Ua2sF+aPKWVbf0Bs/L23t0RqBdDuF/zDXMxIgkjl519cYLfrMdu0+ZPX1/nB+3vkeY5lqKwuVPBDYZg527D5n//zNe7sjpAkWJmrCHGoE2IYGiVL5Q//8takd1ar6Ox0PcjF+nfYnNs2RV157W4f2xSmHP/xe3cI4xRVkfnWy4usLdTww5hG1TxiFpFlOa2qiRskSNIHC3ubFROvkYiEsZL+gPj2+kZfiCkkYZBxOH1lumEhy0xqgMeJjO5fH2VF4sR0uUiuUgiimH//VzfEvVfS+ZWvLBfG2zkzTXsifj/Gzw5MXePkQo1rd/uYhsKZ5frnfUkfGlmWHQ5LJEf0IZ9248DRKPjgH/qCYXmuyq3NIVEqhH3N+s8u9+NzO6XIsszy8jJLS0tUq1V6vd7ndSkfC7qmPFGTvmyJWMuRG5FmGbIE2x2H2cbRTW1QkIf3eh6mrpKmOe/f6jwg4tjteMSJiPqNgb7jc2FlCkNXGTrR5EB/YbXJwlQZL0i4cqdHyVKplnQkJN663hGuWV5EHKdISMSJEGV4YYKmqeR5jqaqNMoGIzcUcV1BSrmsosiCQCZnIMkQJzl5HvPm1TZJ0RgbOCHbHZfZZokTMxVOnajTPhiGQqHeTdnuOIUytEoQJWzsjQmCiNtbQ5AkfvnVZepl8aC+cXl3ojKNopQ3Lu+z13WpFUVOexAwVbMZu4Is4voxlqEg+THv3mxP3DPyXDTyDlSivVEgnIn9EDeM+Pd/eZ2vPX+CpdkKQZSw3/O5vN6lXjZEtHPJ4Ne+usp339piMAqL4U8JVZbJCyXswSB5q+08QNjsDv2JMjst3NJPPcbxeDAWUfUiZUUQWbIsZ7vj3rsvuh4npssoisz1jQFe4TzqBhHffWuL156bf2wcancYEIRHr+lxLswfhDzP2e/7RHHKdP3RDaFjCDh+PHGgOk7i+OyhqQo//8ICf/L6Hf7ixxvHIo5jfChs7TtEaUaa5mSZGLKdW60z8oTLqmmofOuVJd663kFVZDRVIU4yfnJt74gTVaNqTiLEAaJEuMhVbAPIeetaB0NXieOMZs1ipyMclc6vNPnJ1X3KpkijaFWFwDCKM6plA8tQ+epzC7QHwr2yZKoYqjKJOczznDeu7DHbsGj3PW5sDmhUTWRJojf06QwCZpslMaiwVDRVIYhTQOLsUoPFmTL9ccjfvLPD0myZWtkkjBL2+j79cYDvJ5yYLfP21TaOH9GsWYzdiJ9cbfP1F08gSRJ+EDMYBQyckGt3+oIsYup0RyG7XY9L60JMoGsKN7cH3Njoc3qpwXdeXZmILAHIQdXkSUJUECWM3IjpItp0t+seqav2ej5Ls1UcP2a77eD6Md1hgCxJlOc0hk6E48f86NIuQydk5IbESc58q0TJ0vjrd7Z55cIcMw37ocrwIEwmAg4Qjob31wSX17vsdlzSLKdaMshzUSc+SsQxciOGTsiJ6RJb++J9nzpRe2AA0RsFuH5MvfL4Bs2j0BsGExfzLMvZ7Xqc/hkScQDUigHXJ4GKrXN5vYdlCsGgrIg48yyXSNK0cMkRa8gHIc+EU3+1ZJBlQoxt6irDcUi9YpDlOVGcMSgcb9cWKkzVLMI4RZZFA65aEm5c/+lv1gUBwtTw/Jibm32eewJnW+MJz0EH2O95k2ZgkmTs9b0jotU0y9nveaRZxkzDRr/PveXand6E+BhFKVfu9B/qqH2MD0aUZFy+3SVOUi6uNR9K5vyi4r2b91ya++OQrf0xawuPJts9DZiqW4UTbcCV9T6aKs6QYggfkWeCNO1HGR+mH55l4LgxeSMXLq2ApsliXxzGZFlG2daolgzIYWN/zGzTxvXjT1Swt9v1iqRP8Z46g4D5RzjzXL3bn5yRwyjlynrvSF30sDNxnou48jBOmapbWIZKWuxZB9jpiL3/80jac/2Y3ijAMlSm6p8fWecwHE8Ifm1T/VwJRE8TTF39xAi67b7PYBzihwmWoaJpMrIoCXjr6j5S4ZyapDn9USTqO0k4yh24xx8QqA1dpGlJ5Nza7jN2Y1p1Ey9IiuxceONKm3/4Oy8A8N7NfXRdwcw0VFnC1BV6w4AMaFR0FmdKDF0hrF7fHZIkYpiRuim2phFnGaYms7HvTNyx37vVZezFVGyNOElp9z2k4v1stz2m6xayLHFjo8/IjSei0pvboyN/lyhJGbnCzCZHeqSIYGtf9PGSNCOKU3RNoTPwqZUNTi7UuLzeJYxTlmcrYtgZJqiqzLnHpNxq6r2zgxcIp2xBVM1BkibP7m7X+9gptIuzFWplnaEjzGUurh29roqtf6LujZfXe5PkPi9MuHZ3wIsPcdQGcWY9JqJ/OpiuWxOCsarKbOyOCMKEHNEbj+KcuaZOludkiNS7AwfNsR+J80EOWZ6TZiBLkOY5uipTs3U0VebkQo2cnJX5KmMnwg0TgjBGUW3u7AyplgzqZYP2wKdRMYjTlPbAFwN3WUIGFFXh2dMt4oJ8ATD2ooKAHTHXKtEb+Vy63QMJTsxWKJsaWS7Ojm4Qk6RZQQYXRIUgSiYCDhDGUf2Rj4SEXojQmzWTsq0/UH9stR12u+KcvNdzSdOcqYZKnGS8c6PNzx1y3XwSRHFKbxSgawozDRtJEgZXB+gMfBamS5i6SrvvE0QJliFzd8+diNin6hZZZvLG5T3heO+G9EcBc63Sz7RT3DE+eRz0c2pFiu+njblWibEXk2U5lqlSf0gfZK5VYr/nMXQiyrZG8xGGYVN1S4gVlBBVkQnChM4gFK+Zw1s32izPVFjfHTPfLFGytcns6MCEbK5l89dvb7OxN6ZkayiyxI8v7/HNlxYf6NMsTJW5dFP0Xw1dZuxHNKompq6wOGVza3tIXjh8m4aMlMF00+DWtkjgycgxVZnu0Kda1tnrucw0bZJUrNntvofjiRomTcW/KVsaf/qDuzSrJtN1k822w2DsE8UZWZ4xdhJ2Oi62KZx+NSdE18X7y9KcmaYwovOChJW5Kn544GYrUS3rhFHGzc0htqlNiGhxkjJTOOanaU6rbhInGZqmUC8b3Nwacnt7SMnScH3hptsfBXhhMklRTdKMvZ7H6iNmT7tdYWB3YDbXHQZHarKxF/HD93do9332ex5JktMZ+JQtjfXtEXqR9DHTsI+cvQ7W8Tznkf3T+9EZeNzeHlG1Dc6tNj7w5+/H+7c6k3Po0Im4uzfm9NKHf51PCp9kf/HjYK/nTQRZ793qcHm9y5cvzj12Nv04BFEiEq7TDEWRMDSVLM+Pzpk77hH3+0bFmBAEVFWeCAsOn+kPQ1NlbENlc2/EXl8ISt+6HjFVN5Elmf4ooD8KqJUNZFmkhH3/nW1KlkajarA/UEnSHE1TCOOUiiS4GqcXG8KJO0y5tTVCU2V2Og5jT6Rj2GMdiRzTUBh4Ii1AUWTGgSA02oZCkuY4YeHgm4NEzsgJJyZaW22HzsAnScW5ZewJEb4fJsRpxlzL5sxyHSmX8IpkwCTNOTFVomSqkAuCp6YpRHE66f3PNktIkkS9JOrAsRuRZRnzzQp+mOF4MXNNnXMrDVo168i5X6SPiASShyGKkomAA0Sf5qWzMx+K0Paw3s3nCUmSHkhteNrgeBHff2ebzb0xUZwVafcBP7myj2VpjJ1IkIPrBl997gQ37vbZ2POYbliEYcytnTFhJPYouzB0swydOE6J04zBWMz/TEPBDSLSTJw3ssJoKowyphoahqaiKAqjQUC1bJCmOVtth3/9p1co2QbbbQdNkyfJwo4bYmkqsiSjyMIYyvFjbm0O6A4D4jRFVxV6o5CpuoXjRYyLtBgviNncG/MLLy8x3bSI4qzgP0nFGSplv+9N9p0Lq03+9Ad3iJKMuabNubUWtzYHuL4wTZubOrqfDT7lvpjjx/RHwXHv7acAW22H7bbDVN1ibaFGkmbs90TfeaZpf2Z9lEu3upPaZuxF3NoacnHtXkJZEGTc2h6iyhLzTZskyZkueGHtoc/m3pju0KdVtXjl/CzTdbvoQWlc3xzSqplkGdzeHR2ZUYZhKoSXmqjzLq330DUFP0opmSp3r49x/Zi4qDO3Og6j4jkW60s42Qsur/c5e6g/N9cqsbHnICUZpqHQPJTu5njRRMAB0B245OQUHngossTqfI3VeTEbErWm+PvEScrNzeFkznlja8CNzUEh4BRGYaeXGlRsHUWRkCWZKCnWnjDBC2Mo7LTyXLyP7aJ3MNO0j3A5fnRpFz+MCaIMXZXpj0K+dN4CHnzuy7bO2onaxEji8Od3gPdudNjYH7MyX2V+uoQbxILXYWmUbJ3tjiMMOC3tXtJGLvql9/MAh05EdyjMWh63Hx/0IsdeBBKcW26w1/MomRqKIh2Z74zdiNu7Iy6sPnk63qeFYy7i54cDI4GDfvtu1/tAw9MvGr739uYDX3tva58XV55u8XIUPV4g/0VE2dIo2RpGqmIaCjX78z8/fBQc1Jcl69H9sg/CZ76KOY7DH//xH/MHf/AHvP322+i6zre//W1+7/d+77O+lM8UsixxbqWB48dcu9vH9RNc32E4jrhQDOz644Drd0UixIFLnamrD42fMg0Fy1DIMiGkKJs6F1abeEHMC2enGTmiQXrQ9Hz+jHBl8YJ4IiywDBXHT7B0BT9MUWSpIJ+KdI80y+iOAt672SFNMxw3Zmm2xHbHZeTLhIVThK6L64jTHDcIaakmYZxgaDLkOaYu4lLTotpTZIlqSWdtvkbfCegNA7rDAD9KOb1YY31nTJJk/H///BpBnGDqGrc2h/yf/rsvAzzw97BN9UgUra7KdEeFy3EYM3JDZppm8bPahBQCokHUqpsossRO2yGMU8ZujBPENMsmf/nmJj//wgL9sXDq6QwCwiidOHufmC7zW984yc2tESM3QitYNYYuH7mmh0UU3/+1xzVA+qNg0jTZ6bicW2kUDSlp8rkd3GcHn+8B8S1Jc9qDAF1XWN8eEUbpIw8TqnK0a6N9TNXsnd3x5BDT7vs8d3rqeKD1GNzaGgCi+D9OQPl88IuvLPEnr9/h++9s8z/8zvPHxf4xnhiWpWJoMpkiI8sJzbrJC6enefZ0i0bJwAtj0gz8IGbsxZMB7OEEjIehbOvUSjpJmtMdBYy8iGt3+my2Hc4uNRg6EZahsTCl8pVnZ1ieqRYxp2JfeOZUk7X5WjG8VCfxwYqiMFU3mZYs+uMA10/Y67r8+PIeS7MVBk5Id+hzcqFOexAwHItpxHTdolbWBVkyEm46C9Ml4iTl8nqXsqXxlz/ZZHWhRq2ks9/3WZ4pc2dfNCREXPNht1mFrbYjyFhOwHff3hGRr36MqsqUChKHrin4YUIYpiRpLhy6tXt71v17y+H9S5FlJOlezOj9+69S7H0HX1YUGbloKN97DYnuMKA/DgkPEhQkMVSXEM2R3ijg2ZOtB5yAFUU6WhOoR7//o0u7XL3TJ4xT+uOAL1+YxTK0h9YOIA4AV+70IIeSqfPasxXqFeOBw3G773N7WziD7nRdLq61PvTeoigPeS/H+FiwdBVZKoS+eU6S5ahSRrWkMhwH3GcY9UgcxPOuzlV4+4Zo3jpehG0dDGFEdLITxMiKxFvX2vz9X52mbGvomiJSeKKES7d7OH7MYBySpjnVkv6AI+Ynhcc9pyAIXQdrVHcY8NypqSND//vPAPeLPI7x5PirNzfZ7QoB2N09h9/8+ZNPjbuIoR+9zp+G++CASDh0Qqplnd2uWzhkaVRtjd4wJMvFgOFhkdmPQg6kmRC7qIqMYQiyt6HLeGFM2RDkbVUWTnqqIgvX+U/YOen+M+bjXv/+59w45Px60C+Bo2fijb3xRLCx3/d47tQUqiKL6N2C8K4ojyYofJrww4TL673JdcRJ9kgBy2eFg2SUg3spTrKHJoQd49ODG0QT0nCe57TqFhVLA0kSBImijk+zHE2Rimfo4H8Cui5jGiq6liPLEr1RiBek5HnO+u6IsRtP9tDDJChT05ifKuH5MbqqcGdvhKaK3ztyAv7yzS2sQtgXRenkNdIsR9Zz7FzUMVmakyB6fBISB6ZyEmK4fdB329p3Jw7O7aGHJINcvI8j63kufodpCOfPxzlkdoY+7b545ve6Ljc2B5N15W/e2ZnUq3d3xnzntRUcP6Za0p5YsGibGs+dniKMhPjj3RudQ+eIj7+Q6KrMr311jc5QEB4/7ZS7+/dJ4yGO2sf49GEaKs+fniIIE0xD5e3rewRJSn7oVnfDBF2RMYvPLIxSokj8TJ6L50sGmlWTPEuRZNEPTzO4sTFEIkdVRErf6kKN9sBDlqA7CEjSnCgS7u9lW6MzCBg4ETlwd3fMV58X5INqyaBs3XO/dLyIy+u9yVl2Zb7K3d3RJK3GDxLOrzaZqlvsdV2STEFVJG5tjXjpnOjFq4XDdJrmOH7EdsdFlmS22mNBKosyHD/mlQuzDz2rdwa+IIyoMrKUi364JFEyP9zZNs1yLt/uTRx6HS/m9FIdVZZJi4RLSRL9g+22w+a+Q5pmvHFlj0rhCNrue3z7KyuTmmJjf0xcOP+v7ww58zmSg4/x04XOwJ8kvex0XS6uNj/1/UKkBU8RxSmWqT3g8griTK8qsjB30RR2u+4jxY2Hn2ddVY4kg65vjQiClCzL2em4/PYvnETXjvYhvCChVhbk5CwVZnb6I/aw1bkqrz4zjx8mlCyV/jgkTlI29hyW5qpM1S2u3R1gGTJJBm6QcHV9RMlQWJ4rk2Y5bpAwHAf0RqFYc4ukMk2VJ+kSkiRN5nE/eH93MveK4pSdrisMNrKcsRdh6CpBLIT0/XGIZRTJRS783HNz1KsWmirj+jGtmsXF1RZXCuMKVZYJ4xRTF70bQ5Np1Sz0Q2kJiiLxzNoUtdKI3a7PyAsZjEOSJGPkRtTLBpJcfGbJfXPIx9QzD8wsD/2s68dcWe8xciJ6o4CsKJBURZy7NvbHkz63FyRHko2ub/QnZL7eMODZUw/2Tw9j6IT82Q/vTvrbbhjzpXMPF6E+CvefLT/ptImnFQef8fu3ulxeF8aPG3tj/t53zrE0++GM5UTihnD5X98dUbY15polLOPo3/r+ftNsq8Rrz8zihcJ1e+iE7IZHz/T317BZlnNza0iciNmAKkuULY0sSxl5EaoiEacZQaRxab1H1RJpY2kG9bIwwJFlCaO4toM1buQJkrUbxCRJJgR0QcLIiZFlj9lpmyBOkSQholUVCVlSMXQZKYcgitFUmaQw3bBNBdPQ+N5b22zuj7l6p48kievvFgZ+iiIRxRknZkpM1a2iFsmLvoXE3FRJJKLlObIk8eLZ6YnoIoozrt7pEcUpd3ZGWIbKl87PsttxGDoRrZpJq25i6RoX1loPJC0fzGFACHqePdV6wBRKPlS7HdwzH6Zn+Cg+wzE+Og76OH6Y4kcJaZqjqlKR0hmz3XWJ4gwviMnznHPLTbY6TmFuJhJAG2UNWRbcHl0VZ4ZWVefm9og8hygVn9f8VIkwSkmS9EgPMskET+jFF6f5xktLXLrd5f1bXbbbDnGaY+sBnWFYGNcKHtBU3eJL56bZ67r0xrEwlJPg8u0ejhfhhQl+mFC2cjRV4fbOiCzL2ep6KJJ4xudaNqvzVTb3x6zOV4mSDF2TMXT1gdreMlXOLTfww4RG1UAin3CnDuYhcG8/O3h/aZY/1gD1I39mt7vHvbefAux0HP7ixxuQw9U7fdI0K1LLhPCuPw555uRnQ2a/v5+ja/fW5iRJ+L/+m7cYucIM4sbmgG+9vDz5/nbb4eb2EDIYuBGvv7czIV/v9Tzu7IwYFrWaEwpjuIM+gCSDG8RkGURpiuOFE5Ph/li8dq+Y6w1GIaYmIcniWrX75uH37+8HSQ+iPJEKIbh4X7p6dLavm9oRcYkkHd2bmlWboSOMq1RFpnpo79FUGefAIAPRo/n1r52kN/SpljTeu9Vj5N4jPrdqFtWSPkkWv1OkmIj3fPQzl2WRcqyrYh6R8/gBzjdeWqRdCNAa95F837nR5o+/v178d4e/9XNrvHBmmigW7vTXDtXUwgQnRyr6rPfv1dfu9vnh+7uAEGT+0itLzE8dNQ4//B7OrTSEEY4iYeoiIdUPEwxdxQ926B9y9/+iJFod4SIOfJ47dcxF/Kxw/9/5aZkvH0Zz5kGS/dMu4ACo1Z6+eqNaNjgxXS7WOvVIgtHTAsePj/TQVxeqH6m+/MxW19dff51/82/+DX/2Z3+G7/s899xz/JN/8k/4jd/4DSqVnw2XL0kSG97IjWgPfCRE7O351QaSJE0Kg5mGzWAmxA8SpuoWX744+8Brfe2FBXY6Lo4XU7Y1DF3l9vaQ1YUaiixNVLUHMDSFX311BddP6A7F8GO/73Fjc0gYprhBjKmr6JpMkuXomkylpHN3Z8TYjYhi4QJ6e1vEjlq6jKEqpLmMRE4q5QRRgiLLzDYsgjAjCFPKtsEzJ1skWY4XxOz2XF69OEe9apKkGUNXKOttU4NcEA6TJCMIEsbFYS7LMjbbY77/7g6qLIEkVMSDcUitpHNmqcZc06Y3CjB0lZ97bp6bW0PGXoSmSlRLBrqmsrpQ5blTLfZ6/oQYszpXpVExef29HZbnqxNXHVNXCOOMgRNyZ3eEZWhIksTCdKn4PQqr81UkSbiEX1xt8v13d9jojGnVTBamZyjbOht7YxRZZu0hUeytmjlR4Zcs7YG0lcMYOEcjj0ZuNGl6nF6ss74jVMgrc1WyPOfmxoAoTihZGmMvolE1WJurTf7to9CqWYy9e84AJ2YefU1PgpEbTv47SUUD4bhZ82jc3BTDmVMPuV+O8dngwmqTuZbNbtfj9fd2+IWXlz74Hx3jGMDL52Z5/0aP9sCnZZq8dGaacklHlihcySJmGgrPnGqx3/PwgpiVuSovnz/qdr/f99jtuiRJznbHIUkzTFMp3GZTzi7XADE0jZOMhalSQcqWObXYEo2FsnFkXzic5nBipkwQJfRGAUuFA35nKPa1JM2Ikox236NsaQRRhiRLrMxVJmt3GKfUKwZukLDf81AVCT9I2GyPURWZPM9J0pzBKEAGhk5A11RI4oyt9phaRSR0+EFcOFUq/OCdba7cHTAYB3hRTMlUODFdZr/vkSQZz55ssjBdZnW+yt29MXmeszhdnRDMQNROjh8zdiMqts50wyLNcta3hzh+jK7JZFmOqiisLRwdSK3MV0nSAZoq88xJ8T6rZX1SZM9PlbBNjaXZMp4fo8jQqqlYBRl27YR4PT9ISNKM3a7Hm1f3AeEceFBfkQuByP2O8QcNBkNTKBkaXpAw3bAfmcg0dqPJtflhzK3tgPmpMpqqHNljh4f24LEb8calXWaaoun9pIefVs3C8QoHcVP92M7Dx4D/9pdO8z/+0WWiOCVOhDNLGCc4XoqqKcTpk6k4LF1hZb7KTNPC0BScJBKCJXJubAqXSVMXQihDV0kz2OqMeeHMDLe2hvhFMy7Lck6eqBKECXGScfJEjdOL9+7R/ijgb97bIY4znjnV5PTiRycm3f+czhaDizTLub095O3rbSxDNAfDKCWM0yPE0wurLXqjgP2+T6tm8uypqY98LT/raA/uJRR4fozjR9QrT0c86SsX5/jeW1u4fszaQvWxZ6inCW4QYxkap07UCAp3q6XZCpapMHI7aIqCLGWE8RNE9VAkZgKyJIb+fpiw3/eQJImyqYmzPEKwkSPOpudXGizNVtjuuIw9cd5cmas8llzzJFiYLhNE6SQZauoxUbjPrInnvDPwmapZPHvy3nN+/zn24Ew8PPT1NM3xgoR6xeD0Yp07u6IeOji7f9ZwCjfjAwzd8HMTcez1PPZ6Lo4fk2f3Gu2jwln9GJ8dVEVmv+/RHwfUywa6KpwoJeDsSpORs0OUZJRtlZIu03djFEXm7FKdalnHDxLW5uo8d9Ln5rZwjO2NfIJIkCHjRDC+wyhFkWWq9r0Bab1qsjxbYb/nY5kK6ztDZFlBFmaW7HQ9SlaMpioszZRpDwOywun5IEnXMlROnqixW9SwXzozxV+/u0tvFArXvjTlxuYAWRIucWZT3F/TNZszi3Vubg/RZIm/80tn7v1RJIlWzaQ3CsSg9TGO44amMHJDQd5QZYzCCRBgc99hZb5I1AgTbm4NAAnH11ibVydJyFmW8fp7u+z2PGbqFq89O39k2KSpMpoqruHkiRqbew6yLLE8W+bGxgA3iGlWTWxTZbvtoigSawu1B1yDH4X2wKc98Bg6CidP1D5VUuGLp6cYORH9ccB8q8S55WOS+eeFLM340aU9+k6IoUrUSsY910TA9WKaM2WWZsu0hyFpktFPUjSFidD7INVTyhXGQUISJ2zjUKsYaLLM6kKFKMnQVJmfe26BW1tD2gOflbkqSSpSPn/u+QX+8w/uUs4y8lw4aO91PbIspz8KefWZuYnr+s2tAevbQ/IceuOQN6/uUysZTDcs+qOQLM9ZW6iRphmX13vYhkqzZhEnmXCwL0h/X31unjevthk4IUszFaJEiM48PyGvCzG6HyYPpNCULHEO3+64nD7RwIti7GINKpka/+4vb6BrCj/33DymrnJ7e0Scpsy3ykw3jrpehlEyMU4YOmGRCl7h1GKN29sj0kykj2iqPKk5gliQcw7Wmb1i3ZMkiaXZCre3h2iqzExTJIIf4xifFIbOvbWBHEZe9KmLOIAjBMcD7HZd9vseepH2IEnShKj/uDnTdMPC8WN2Oi5hnLIwLdJ9GxWTIBKkN1mWaA883rzSZqohnI0nxGo3olm1ePHMNFfu9ilbGn/r59Ye+rsaVZOVhSq9oehdnV5q8P13trm83kWSJaZqJnNTtiCLOhFJUZ+bho5l6ly906c39MnJMTQVQ1eYb5Vo1cTc8uSJGlGSsr49pF42UFRpItoIo5QwTIjjVLxunuNnWSGeV4QATwJdE2eyYRyx1/eZbZWQZZnluSq7XRdDV5hpWmzuO0X6iMGZxRojVyR31SsGzZrB29fbxEnKV59foDcKGPsxQZQQhCnLcxWaNYONXYdW1eTVC/OUbR3bFMkcQyekbGuPJG8BLM6UCaMEL0hoVs0jzuFjL+Lq3f7E2KdVs8jznPmpEqcX6xwWHB+eC95/r/hF/+lxhgzt/j23X4C9QymLT4ovX5zFD8Vce2W++sg+688aFqZK+GFCbyzmAYamkOVwa3v0oUUcfpiIeX4sziF+QWiVJJGq1yvmzIvFnDnLMntTl0UAAQAASURBVGRZZq5V4sbmgM4g4CfX2sRxwlyrzIXVJnt7HkGUcHapeWQvj9KMkqUxcoSxkqGrIh2o61ErGyiySMmoWCpjN8J1I+7sZliGjK6pLM1UGPliDZJlqJY0/GJGESWFk/jeGDeIxdwlzkhyCP2UUSJ6GVGUkowzUCBOcmxDwTRUJEBXU5CgbOkszJTpjQLCKBGzoTTD0FTCKKVa1smyXFyrbWAbuhCsaTJ6kbahqnJh3mmwPFc5sv4naXSkt5HlOcuzFSxdKVKSRMKPJAni8dpC7YhBzgHxU3weeUGePXqGUYs68sfFfOPLFx7kqDwOj+rdHOOjY+zFtPs+FVsTBhA51CoGjYpJq2Ly5rU9yHPiNGPoRLx3s0vJ1Hj+VIsfvL9Lux+IFAxFQVVlgjAVIqdcGE6FxZzCTUQqpaooYj8+ROI+6C3++PI+YZxh6gpeEOMGCbWSzvJcmaEX06xYvHltD0uVWVuo8t98/TRvX2/z3be2KJlClPHm1X3Kto5pCNM521CZb9lomkKzalIv6bh+QrNmTvg181Nl/DDB8YqUMltjc+/eHGXkRsRJhmmoE3NG148xa+oDNdTYi44IVEZO9ADJ7vBssV4Wz+KH6Ss6fnz0dxz33p5a7HY9DnPyt9rOEXNG149Js/yhAuhPGi+encHxI4ZOxOJ0+cisrjMMJgKOOMnY2HPY6br4YUK9bBDHKWRinVCR2eu6ExFHluWYmkI7ET+z0KwQhzntgS94bgsVFFmmOwowDZWZhsVuz2VUiAdrZQ0/SokTwR8YeQm1slJcS05OzltX21imyv/qV88deU8jNxJ9g0lfb8yNzaGYR55s8uypKf76rS1kReL8SpPLt/r4YYIiyUzVjs4Y/vYvneZf/fEVxm7EhbUGv/rVVda3hTjswmqT3Y7LtY0+qqLwwpkpdFWePJf3985mmib/6v93BT9M+dK5KU4v3UsPcf24SCAT1zzbsJht2AzGIq1w8T4zZT9MuL09JE1zFqbFGeN+LucB7uwcTS2+utFju+vgBQlrCzWGTshezyMHpmoWZ5frdAY+iiJz6kSNjb3xpP7aPpQ6Si7u5cedA+RCIHsARZEn6+eXzk/jBjEjN2JptvIAz+HzwuFzc5IIHutBP/cYny5sU8M2Va7e7WMbKudWnr5+czh6sJ+xvjdgdbb+2V/MJwhZ/mKIrD4MKqbKlTs9giilXtZp1Z6+s8Nh/haI/e0LLeL4B//gH9Bqtfh7f+/v8Xu/93ucPn36s/rVXxjkeU4QJiKutHCV2+m6DMYhjapJ1dYnzaizSw3OLNUfUF8eYL5V5re+cZqBE7LfE4r0bkHCXJypEISJcItBFF6WoWJZOn//1y5wa2vI99/ZxvEi9rrupMmQ56LhqSgy55abjL2IIE6IkhRZlgnidBKjmyNRrehYukYcC6cLUxcu2aqqsjRf4dm1FgMnolbSGboRC1M6Mw1Bjp5tlbi41mK2aU+I6yDIgq6fEGUZhi6LxqYXUi+ZdAYeg3GI60U4niB/uUHMj6/s89LZGeanypxZqqNrCu/f6k5iv2RJ4te/tjohJs1PlY4QJ0xD5be+cYqNvTE7HZcrd3q8f6sLiAaGbWgoikySZpRMjaXZStGUvIfuMMDQlEnCRbvvsTBdxjY14e7xkIakJEmszlcfGV0Mgjj35z/aoN330HWZZ9ZayLJwTTtArWzwwpl7JOA7O6PJEPDEdJmluTJb++6EPFKxH0/cPLimLMsKlyDliR0L70fF1gnCe+4i97t+HOMoJiKOxS9G4fuzCEmS+NbLS/zrP73Kn/9o41jEcYwnRq1s8q0vL+MHMZahcma5QZrmrO8IhyjHj4RQMs154ezMZL8YONFkIOaHySQa9K3rbRwvomRq+EHK154/wZ3dEV6QULZlKrbGiZkS1ZLO6cXGkQbg/fvCYaiKzLmVJmmaYegqSSKiTLfbDkrhWK2pMjkSp5dq/J1vn+W9m/fcZ8u2Rmfo4wYxJUtjMA7Jspwziw1ef2+nIDdI6JpcDGUl8lwiiBLmpmqYusLiXJVn11psdRy22g7v3urSGfoYmoLrp1imiizLrMxXOV80kc6tNOiPF1htC3cPQ1eoHmq+yrI02Zuvrvf5n/7kCo4XcWK6wkJB8D1QPB+ICs2iQa3I0iSyNM/z4pCvAIIEd0DGOr3YQAIRx9wq8VvfPM2NjT6OJxpjpqFADt97e4s0zRm6ETc3B/z8CycAQQCbqj8YnzpVt+gXLiX1qsHPPb/w2MFG6VATZbvjMlWz8AMRc/6lczOTwUzV1ukNA5IkY7frcmKmjOPF3Nwa8tyHIL8fDzo/ORwQK5fmKjSrJo2qydAJuHS7h9v1kAFTlQiSo04tqixNSAYgHGgaFYOzS3VOLTa4u+uy1/NwvJDeSAz4dU0mSnJKCMKAUiTIbeyNJ2kX4zglLc4JL56dYX6q9EBa2/fe3po48PzgvV3mmiXKto4XRPhhSqNiTFwpPwiHn9PD2G479IYBiiwxGIeYusJU3XpgoK+qMt/80vG+/EmgVTPZ74ka3TIUbOvpaWxWbZ1ffwR552lDnGTEiSBEV2yd/ihEUxXOrtSol02iOMMyFIZOgB8VxKA0n7j0H8bBmEiRJWRZkI+SLCfNhJh07MXic86ZECwMXcXQVJ471eJv/5IYoGy3HTqFO+R+z8My1AmR8wBZJgwcNFV5rLNRmuWEkSA+nn1C0rCqynzrEfV35VC/BJiciau2PiGLyPK9M2e9YlCvPLwe+qxQstQjjmHVz4B89zB4QTwZAiWJSFw9UQxt7ifMHuPTx37PI04yypYuBqttl7lC6FCxVX7j66cA8P2I77+3K+pSSaI78lmcKdMfBbSqFn6YcnqpgSxJ/NefbLCxJ4ZzaS4Sc0vF0Crn3nNasjTOLjcmbvFX7/QndWiW5aR5jusnqGrK0kyFX/zyCiCGqFfWuxiajCrD6ZUm33l1hTwXCRs3N/o4fkJv4HF3z5nUq8GhJNw0z/j5F0/w3xTvzzrUH7IMlam6RaPo27UKEvjBGnmYLBHGKdWSceT1D5w156burVdpluF4QpAiUvwUZpo2eeHie+Bwvu4Lc5wXzz7c3blVsybntTu7I3qF89zG7pggFmuhLEnk+fCIE9+9c4V8RKQx9iI29kRKYRCm3NkdP7Q++qSg6yrf/sryB//gMT51vHmtPUnhGSYJizMi0TIIRepNtaRTr5hoqsrzp8r0RmW2Ow43toYkSUae5aiq6JUnRS2QUaRdhgmSoZJnOdMNi1cuzPLi2Rnev9XlvZudyb347MkpTsyUcF3h2LvdGeMHCd1RiKHJVEoGQydCliXGXiSSqZOMuzsj/DDhxEyZjf0RltHg5IkaFVufnJcvrjYnbqSWoR5xc1+dr7E6X2On4/Dnb2wwdiKRvGlpRHFCzsOdHG1T4/RSg5Mn6gDMNoXZwciL+MO/ukkSixSMv357m6W5KsNxgKYp3N4ZUrG1I+m6Qtie0e6LOkdTFW5uDliZr/LMydYRgmPZ1hi5EaamoB1KvT58np9pWJxdbkySg8of0G8/xjE+DColfZJ4c0AK/jjojwI0VT5CYvTDZOIO/6i63vFj7u7e27PiJDuSdve4OlKSJNYWqvTHAZoqnh1FkfjSuRn+09/coTv08QozFMjp3TdfK9saIyfizHKDZ09N8dzpo0md92NlrspKYVZzc6PPTmdMEKVIksR+XwjEF6crjEtRIdCKqdg6miJSL2xLJ4pTdE3ha0Vf7uC5nmvZBQlbCLp2uy4lQ8XxE7IsRzcUsrFIJ0OSUFSZWkmnU4hTtYKsHcYZtqnSHwVs7jssz4k+5cW15qT/KEkSXhDz3k3RK5Vliem6qEWub/TJc7HuvXW1zfKchyTJ2IaKbaooRW/m+dPTPHtqarI+y7J0JBXjcTjoGz8M+32X7X2HHNGXvbjW4le/ugoIkvo7NzqTuff9hNmKpTP2RG/J0BUel84IYr09nATwOCMAEL3akRNQtXX0Yj+xTX1yfce4B0WRObvc4JXzM7z+nnBnliRYnv3wxj2mLvZ7QxP18ME9Vynp4pks+slBlPCnP7hDbxhQK2nMtmxsU2Ov2570A69vDEjSTNT5ufTAXt4sm8y2bExNwQvF89uqGkJEnudUbIMgSvCCmBubQ7I0ww0STMNiabbKVN3kXPXevS3LYEki3TCIUoZuRK1koCoSbpCQZoKgOXQjbEvl9IkaaVYY52S5EHuoMrMlg5KpsbZQo1YxGDohQZgUfRUh5qrrJqoq+rJ+mOCHKUmaMN8qMduyee7UFKah8u6NDmM3Ikky8YydbD2wNluGcuTZqJZ0lmYrk7Vzv+9x4+6A3jAgCFNMQ2WuaRfpPiplW5s8i7L86GSzjzMPKNsae72j//+LgEedL58GJEkmhFeawqnFBhdWm7x8YZa9nsv1uwPaI59OX+wZJVubiDnOLDe5cmeAHya4QYwXCkGNMFeyWZmt4Hg7xGlGjkircYOYekmjWjYoZTlhLIyWyHKCKGV/4PHGpT0WpoXx2VTdolbWCeOcs0tNLqw1J0TOKE7Z67m8cGaaesVga98hzXJOL9aQJBlVkRi6IeeW6siyjOPHlC2V5bkqmiqzOl+lahl0Bh66IrM0W8HUVQbjgCQVwvXDtbhlqE90f5ct7YhA5WH36G7XndRiez0Py1Q/FBGvbGlH+oFflOfgGB8e0/fNdOeaZaIkxQ/F2VfUYJ/NmmKbKt95dfWh35uqmZRslbEjBL4lS2XkhBOjFFWVkWQZvagXD4sIJAnKJY1WZAE5JUPjF19ZJixqaV2XuLs7plo2kGWJIEpJ05ySpRFEKY1qiZOWUXASxT7l+vd69TsdF9tS6Q0D/p9/eIn/7jeemfTPKrY+mVciwbs3u5M+//ff3WF1ocorF4Uz/p2dIaZxT3Rum9qR+cNcq8z/8e+/cuTvcnalQV7wHp49NcXqQg1ZkphpHv1cdV3lGy8uMPIiqmWTf/4//wQ/TMgyeOt6h2bNolkV/8Yy75nEAFTLJs8cMqJq3sfvvLk5mPRKbm0Nqdj6I8XMy3MVLt2+t4k6boQfiN7nuzc6R5I3ukOf2cYCrZqFIku4hYAeRLJrdl8iyEzzwTXsQARRKxuP7GOKv7XOr7y2+tBr/jg4+J1ZnqPK8pEezpOgWtJpR/e4iE9qrnOMjw8vEOaAtZKOoYkz8tMm2j23/OAs4GkXcAAsP4WGrP/+ezcJwwQJGI5D/sP3bvEPf+eFz/uyPhTK9tH68qPOXT+zVeyf//N/zre+9S0U5WczsjTPc67d7dMbBURxgqVrOF7EZtvjP37vFouzFb718hKnl+rCnbakP1LAATDXKiHLEnd2RujqvQ0tTjJubw9p9336Y3G4aFRMpgsnG2BSVKZZjiRJhFFGyRJDl7PLDeHepQqiaRimlC0dXRFxZbWyiCB1/YS1hSorcxVGbigcwrOckqlSLRlYpsZ03aJS0skBTZOpF4t2nN5zDz0YhDpeTLWsUyvp/OjSLje3hsIFwovJkVibM/D9mL2ux8gN8YIETRGDq92uy4+v7tOsGrhBzOp8lWbNJIhSkjSjVtKf6EC+OFMW8cx5jqGJIW+9ajBfKGL3+x6aIj9UKR8lR12TD38OSCLS+WGF0Qfhr9/Z5ta2cFPO3ZxkOeOZleZksP0wHBxYDyBLMudXm3QLguz9JJyHIcsy/ssbG+x2PSQJvvrcwhM3eg9jZa6KoSvEScZ03TqOLP4ACJdIOFUMJ4/x+eCXvrzM/+fPrvLW9Tab++Nj5/ljPBE0VWJ9ZzRJV7q41mLo+KwfRGxKYoAlAVL13iHm8Jp9+L/HXkR34OMaMUGUEkQJz6y12O/7NGpCoHhrS0Rmn1l6+HDtcVAUmYurTfb6Hr/xtVVub4/Z6Tiszldx/BjDUHnl3CyWoXJhtSkcNnThsNEfh7SqYp8N4xRNE/tMlmckScZW22G36xOnKTNNm9mmjW2qQmwQJfRHIeu7I+7ujXHcWDgPS2BbGralMtssUbZ0Zg81UeIk4+dfXOT9mx3COOX8SmMylDuMKMn48zfuMPbE4bEzCJhr2ciyTJJkOH7M1Tu9SeO7UTZRFDHMbFRMrt3tM3Ij3EC4IdumRr1icGapThDFvH2jS55nZLlw/j273Jg0RWabNmmeT4YoWSb+HgcuY/fXCgf48sVZbFPFDRJOnah94CG3VjY4u9ygPw4YeSFV2yh+X06W58hFA2emaSNJEr2RT5ik2IU7zP11wjE+G6RpxqX1Ht/9ySZ398ZUbJ2drkfZVlFkBctQMXVBnOiPRSKfqkhI0oOfWZaKlJz+OObq3R7VkkZ7cO/7BynCsiwSOxpVk+dOTzHTEE53B9AP6kKJR9aIh8mXB069uz2XH7y3S56LM8kvvrL4xEKOh+Hg/c1PlYS4vWJyYa31mTW/fxbxCy8t8t7tHnGccuFkC/0pjLp92jF0Qq5vDMiynIqtc26lgSxL/PjyHltthyDqsdNxGLoRg1FAWhCldE1BkkRyFoiekCyDqkpkKaR5Tp5BUPQcMnLCJKZqm1RtjSjJqFcM5qds9ns+qiIRJzk3NwecWqw/sN7E9+1daZZzZb2H68eTmO2HNaOiOOXy7R5h4SJ5cbX5oZvw96NZNSf9kmpJn5yJl2YrGLpCGKdMP0QA9nnCNjXOrzbpDYVT2ZOcxT8NHP5cTV1lYarMbNP+0EPoY3wyUGSZZtUUz4ciYxlir5aAU0s1mhWTXpGA8VfvbJOmGUgS/VHI//3fvkucZFRLOl++MMugGMh+44UTvHm9jevHTNVMRm7E0AkxNIXzh5ywLEM9ck/+3rfO8BdvbhBFwtFtq+0K4nLRH1yYLpFlOSVL5dLtLq4fk5saU3WTQSHyHDkhf/PeLkmaoyoSJ6ZKBWFBolLS+fKFOXoj/4hwGY7el5oqc2G1SXvgo6kylq7y9vX2A2skQLNqEcbFwNhQub07ojsIKJkqv/3N03SGAVGc0qqaR37fdtuZ1O2HE6ngaL3zOBy+5jQT5x5B2ITF5F7f4KAHPHSEuPb04j2TngfW2SdMWDrG048DIgKApopnbOjEDMYBpq4Uhgkejh+z3VFpVk3WFuqAcDTf7XqkaUaa5aRZRqNkkGgKpi7c8c+vNLi2MSAH+qMQXVM4t9Jg4ATc2hyiawpvXt3j3ZuCVFGyVCQkbEsYR2gFCcEvHPLjJMM2RHL0TscVz2AOSZrTG/vMT5c4s1yfvKdzK012u+IZm2s9fG+Znyrz9RdOsNUe8wLTbLbHbO07SHtjfnxlj9eenT/y84amcGG1OTF9ONhHwzChNwwmM44oSfDCRAi2dIXF2UpBDL8HpSAxdwuyqGmoXF7vC6GrKfoeB0SME9Mi6XJjd8TF01O0ex7NmsG3vrR47/UUmQtrTfZ6Huoj5gXHOMZHxUzDRpYEEadWNh6bUPVB+Is3NoSATIKvXJzj7HKD29tD9nsem22HsqXTqpmcWao/0I+6/ywgS9KHmjNlOUfSFNI0J8vhW68s8t7NDu2+X5igycXvu/fcnlmsT9IuZotZ6JPg9fd2+R//6H1GTkie5yzPV6nYGouzZcaFCUup6FGeWarTGwU0KgZxmhEnIiH3zFKDRtXENrXJnn57e0R36CNLEt1RQK1sTJKPl+eq/PjKHtttlzTLhHBbkqjYGpoq/k4lU2PgRCzNlpAQBKPVhSq6qvDWtTZ5LkhIZ5cbGLo6EdhUbZ2V+SrzrRJ//sbdiahGVyX2B2XIJaolgy9fmGFpTqSsNmvmp0JgkiR5MnfVVRlDv3fuUg/1mR82Qz2zXGe3+DznnuDzrFdMvvXyEus7I0qWxjNrj+59O17En75+By9M0HWF73xl+alJGv088c0vLaFpMu2ez7nlxkdyVNZUmfOrDdoDn7mWPdlf718bLt3uTfbt92930RSZZs2aEBpNXYHCgGZpVszpRc1x6Bxrqnz5/Cz/9c1N9FRhaaZEe+CT5WAbGqcW6yxMlVnfHhKEqThPZaAWnBSRLnPvmsR9rIi5tSIzdEPqJZ1SqHF3d4TrRYRxRpaFmIaKIknk5KSpSAJpVk1UVeHiWlMkiZ9qMVW3uHKnz9AJieKM2MzQdQVVBlVVOLPUEGc0XWG+ZbMwU6FVNSe9knbfZ7sjBL/Vks5zp7IHRByaqhw5Nx2YARxg6AT88PIuYZSiqTK6LrPX9UTau6FwfqWJpgrx2uHf/UniCO/jUO/m88ThHlzZ1ji/0nzifeWLAE2VOTFdxvWFeUG1rLPTcdnYGxPFKYszlUki1PJMlXrZwDJUqiWdkqWSSxKyJKMoUDI1amWD6ZpIW3r2VIsfX94TCTGyRBynjF1IcpHuqykylqYwcCNUVcwqxkGMH8R0RyGWruB6Ec+stvjWK4uTfWq74+B4MX6U8KVzMlVb56ofE8Upz52aQlYkojhDyuEn19okWcaZxTpnV5rMNsvomoyuyXz/3S12ez5RlPLSuSnGXjIhHV9YazLbsie1uCzxRPd32dY5t9wQKSCm9kCCH4i+5mEkH3KmZpsa51aa9EeBSB7/nPqBx/j4WJyt8PUXT7DddmjVD4T8qUjogC/MOVBVVf7hbz/HH/31bXrDgPMrDW5ujUjSjCyH2WaJV5+ZZbvtMtO0+YWXFzEKo8NW1eTW1pBbWyPyPGe2YXNmucal2300VRGGDX5Ce+BjGipTNRMvSIgK0eHybJn9fkAQJaydqNGsmvzgfSEUnWta7HRcesOQLBecup9c2+fUYg1TV5mfKqEoEn6RrH04iSLPcqIoxdTEs2wYKsuzVfZ6IiVwbaHCuzfaRLHYLy+sNY+YQ+x23cmaNNO00XWFYdsRqRX3Gep2hz5//sYGUZRiWxp7PY/uKCDPhaleraRPTKLv/8wPavihE1KytAfMHA+fcfKivnnU/OKFMzNkGdzdHRWJfR7doT/5/oEAJM9yGhWTm1tDkYAlPWgetTRTYXG6QnfgszBdfiDR/keXdrl6pw/AuZU61cLU4/4+5qeFPM+5vjHg1taQztBnvlXi9FJ9Isx/EjzIRTyec35WiOKEt6+3GYzFPfPi2ZlHmgF8URFEwQNfGwwD6rXPv3b9OFDVB00Av+gIgowMsUZKEgwfk/r6RUXlCerLJ8FnJuL49re//Vn9qi8kxp6IIFRkmXrFJAxTBk5ExRYRxFv7Dt2hT6tmPaDOPIw8F9FlcZLRqpk8f2aaS7e6xEmGH8bc3U3oDn0WZyp0h6KwaFRM3rrWZr/vcXapwdpChb98c4NbmwPCWLjrpXnOTMPm3Io48HQHPj++ssfYibBMlefOzHB7Z4SuKgycgJfPzzLTsNFUmS9fnOOt622SJGN+qsT5lSZvXt2nM/SxTZVXLsyx23XpFYr1+wc5h13tdrsu222XsRvRHQoXsFrJZH1nRKOsE6cZNVtj4ITkULj+5Ox1XRoVkyzNeedGh4WpErWKjiIJV6+KrbPbddncHzNVt1idf7AhJUkScy3hah7FKY4vGgxTdQtTVx9bMEzVLfb7PkmSCbe/IGan7RSuIbC57zzRAS1JM/b7HrIkMd0QcbN5IdOXJAnb1D6wYJpp2gwc4YxuFNGTmipTtjS8IOGta21UVebCShP1EYXMXs+bHD7yHN692WF5tsLVu32iOOXMUv2JIrxlWWLhMbFsx7iHIEwmjnzHSRyfL2abNl+5OMcP3t/lj753m3/4u89/3pd0jKcA1+4OCMIEWZJIk4z3b3eZaVgTta0iScw2bOZaNlfu9IVTmyYf2fPLlkbZ1nC8mLIlou41VSbPRWqUqsp846UT7HRdbmwMkSXhfnfpVvfIcMRxAv70R5sAfOfLi5TLR/eN/igQjjoVc7K3Lc3VyLKcNy4LIaWuKZyYEY2Isq1TtnWyLBOJAV7EYOiz1fGwDGUSif7SuVlKhsr/7d++Q6Ukfn44Djm/Uqc9CpCR8HvCTSfPc8IwYWN/hCRJaKoyaSD/7jdP4YYpt7aHkAvlcsXWkWWJl8493CEXRCxdu+/SG4Voqoypqzh+RJ4Ll41W3eLurhDVBHHKXtdn7Io49PdudphplugMxCC63fdRZLHvDsYhjh/z+nu7SJJw1lvfHvH6e9ucW2lOnK4298bs9lwqtsbYE0klzaqFLMtoqsxU7eHFuizLPHdaOIX7xV5gaMpDUzsOoCjSZFBzMPCablgPONlNNyym6iaSJE3cTBamvhhNxZ81dEcBfpDg+DFRlNHPQkqGiqZKNKs6nb4LSFiGgixbuHpElufEcUqe3xNBSxJIsvj8r93tUylpZIUrFpKEIuf4YYosSbQqBstzVVbma1Rt4QY327QZOmGxriicmCk/1gHx/EqDt693AFHDN6smf/32zsRFarfrcmt7JIhnlj4hMXwYzDTtwtVaZn5KpPU9CQk7TlLahcvYTMN+qoZvnzd0XeVLj1lPj/HpY6vtTBxsx17E0A1pVsyJaDKIUrY7LnmWoygSSZqLGiNLUWSwDJkoziCDNIM8yZFyMDR5IuSIkxRFkSmZIn5W1RR0VeGFM9Osnvj/s/dfsZZlaX4n9tveHG+uN3HDm3SVlVVZVd3ZXW3ZbLYh2QRIzEDUaCCM9KK3kaABCPBBfOGLMBAkzUAQROhlJHHIoRlOD7ubbF9dpqvSRJqIDHu9P/6c7Z0e1r477g2XEVWZlRmV9w8kMsyNe885e++1vvV9f1Pl7Zv77HddJm7IzuEY21QJwpiDviAjturmI3vRYOzjeIL8lKYZO4eTxzZnDweeWJcQg879nvuppDo1q+Yj/RJZlr4wA7PH4Sgh9PN+DUkq0tdKtsZLZ1tFD+YUP31cWm6wvjsmjAVxaGW+wv2dYUGMbFQNSpYwflFliUiWIRd1HvRd/CBhlDvCXj0jnOvCOGF5piKc8qfKDMeBaHZLcO1YOgSI5/jWRp9m1eBCnmYLcNBzOMjJlJoqFT29OBFpPooiYxkaqiIc+I7q1x/e2GXiRcRxiq7JubhM+MJdWqpzeaUBNIrh3JNqUlmWUBUZVZbZ6UwYjH2iOM3dO3XSTBC659u2EGFkKW4QoSoyS7nxws21LrapE4Qx5xcqOH5EGAnXcNePi2GupauMlVAIT1SZldkK1+8cAnD1CWJxEL2CoyTCo/NGECaQQZYdF+RHRZJZlsHW4aTo5dVKOpap4vnCAf1JZPdT/GzB8SLqFZ37O8JwSJKEw/FXLmVcv3NIECV4QYKminpWVcV+PtuykSSYqhv8iz++SxAmhUuubihMlUwOBi69kc+H9zsMJyGapmBqKt//cI+LS3WyLEOS4c5GnzBOOL9QZ7/rEkYpy7NVXDfig8MOUZxgmyrf/uoie12HKE7QNRnQeOlci/vbA/Z7LpWSzqXlJhJS0bMGQZg6OhtPvIj9nottao/s28ednf+7P7jJVF08A3c3B7x6oXUiDdr1Q25vDIo+tpT3QEZOQBSLZDFxBpColw32ey5BmCBzMsHyCO26zdn5Go4XsdOZUC1p+c+J6Y78QtgoSRLTDdE/aFZMmjn5UHpIuP5J84JTnOInQbtuPbUv9CzoDNxi3kAGH9w9ZHm2wmHfw/EiPF+InxoVg93Oo86Z1ZKoSRwvgnzPKluacLB+BiiyxEzTZr8n5kwzTUHynoQJs60SZ2arbB9Oir16umnjB+J51FXlscZKYZTQGXis749Y3x0z3bD4la89SJz6j3+9RpY9SC6auBFXzjR57UKbd293UCSJ3sjH0SPOL9aYcizevX1A4mWULY1ffmPpxLllbXfIO7cO0FSZJE3ZH/gPXHgNhYvLDc7OCvJslkKaCVfi0SREUxXqFZ3F6Qq/+JUF/vrGHrtdB0mS+MUlkeRzd3NQ9GRGTsjICUnSlCwTYp7DgcudjQFrO0NWt4dEufP4cJJQq8SUDJWxG5Bk2YnesOvH3N7oocgSl1ceNW4QPyugYuvP7Jh6fqHKnfU+bhCjKNIJoTCI3vXxNfHDux22DkXi2IWlxnMbZc22Ss90zruzOcA9EvWFwkzgW6/OP9fP+rLi515ZeOavTZKUgzzNarphFcJH29Q4M6sVz64iy0iSxMQTQtWSqQlROqJPkCQZZUshjGKqts52Z8LEC1iervIb31zm1vqQsRdRMrVC8CBLEmu7Qzb2xlxeFuLOoROjKMK0qVYy6A58fvEri8y3bbYPJ0K0JYkkWlWVeePKNIcDv6jjz8xVcmKnxPx0mYXpEu/d7tAZ+qzMV9nvOqIHK0mEUUKYn0uQRMqyoshcO9vkzFyVlbkqsgT3d0bsdx0xn88yrq00ee/2AYcDn+mGVfANlmYqBRH0sO8xdCa0qiZJdlww/mTyVXFuys03j6M3CgqyaJJk3NsaFgIdP0joDv3iZx9HmmYc9F3SPNXtSYaMw0nAve0hlqFwebnxRFOf47yPLwJ2O07Rg5u4EcNJ8JmTUz9NNPJeWMnUkGWJmWaJW+vCqb1kaex0HN64MsPNtR63N3vYlsLy7BRxIoQRqzsjJBkUJBpVg3ZNmEvt913aVZPLZ5ps7I/p5vwjRZHF/C4Whg6tusnEi0hS0W9UNYkkyzC1BxycckmnM/AoWxoHfZfBOCSKE+5vDdjYG3F+sV6YvaYZXFyoo6ky/98/uoUsQ902OBx4WIZa7Bc/vLGH48dM8nSNj1a7HPZ8FmfKmLrK7Y0+b1yZOfFZPWt/sFY2nrr/zeTziiR5MFt8XlRL+k8kxH0WuH5EP082/yI9cz9reDidSFOVRxLtvwioV0y+enmanUMHNTcuFj1pUecGFRMvTGjXTaabpROi38HYxzZUMmDshHT6IslPVST2ew6SLKEoMooskqX2c16coSvoqkxv6OH4MY2yjuvHXMoTgOMkoWJruEGMLMHybBkySI/poiZuRG8kepBXVppcvy36c3NTJWaaNh/d7yLLEucX62zsjrBNkXSjawo37nfZ7kxYaJdp1y1R/3sRZ2YrbB1Mip+xuTdCkeXizL/bcUQKyCTAMlRurvUIj9J+vQhJyojTDNIMWVeYaZVOXHM/jOkOxWc0VbfyRPDHrylz7VIhJqlXjE8UW79+ebrgQqzuDPnu+x5ZJpLOXjrX5N7mkFSWsC1VCDgAMtGHMXRhVH20V1RLOjwmIT2M00LAAfD+nS7Xzjbz9f9kH/OzgqgVAyFSyaA79KnYLvPt0jMbQ0uSEJNnGafz4Z8yRk7E2BE9BVmR8hS6U3wRkLyAZq7nl6rsdCdIiD7Saxfan/hvvoj4pPryWXCaJ/RTgqo82DRmmyVUVSbjmJJbAu0ZyEobe+Oi6bnfc3kljxI+7Lv86dubxHHGXs/BC2MUSQYp485mn+2DCSMnZHVnxJUzddZ2hgRRiixBydb46uVpamWDK2ealCyN//iDNbb2J2SZGD626ya/9LVlDnoO6/tj7HygqSoybhBj6SqJKooZP4iRZLANFV1VCMKYC4t1Jk0Rx24/Ib4QhEjl3vaAMBLxzJIkDoKqIqOqMooEtarFa1WbqabBB3d7ZGnG0A3pjz12OyphkojYXEXh4nKdsqVzOPD44x9u5ISzPmGUcukxBQtQuCHahoggDsLksZHux2HqKq9eaDMYB9zbHjAcC4c0IbYR0b+fhCzLuLnWK5zZBpOAq2eadPJDc6NicHb+kwdD1ZLOqxfa+GFC6VicWxyn/NEP1pjkjkOHffdEg/s4HnX3kPnuBztFgbm6PeS33zr7xMH2KZ4fqzsjskwQk74IziRfdvz2W2f5wUd7/PGPNviHf+vqU9etU5wChBtld+AV4ZRBKJKsVuaqBFGCoSmULI2y/WCNtk31BHlaliWunGni+BGmrtAZeoRRQsU2OLdYo1ExMHWV7cMJhwOvEIi4fnTitfw3//oDOgMhnLyz0ef/+J99vfi7w77H6s4QEE2Ka2dbBbnBDxNWt0e4+RB3dWfE9DE3p+9cF/vAftfh3btdLEPBC2Q6Q5fXLk6zeTDGcQOCMEHXyGNaDS6daWAfOAwngSB0ZsJh672PD5AVEcs537L529++wMJMFUtXsCwhaomStGhOPw3DScCtjT5Zngrm+BGapvDGlWleOj9VfNZHn3eWZXQGLrWyQXfg5fu0xPbhhDOzVWRZOAweQZElRpMQx4tIs4xsktEd+dzZGHB+sYbrx/z5O1vF1187K8Qd9YqBFzx6rR+HMEq4sdotXAqDKHnEGQOEw9zNtV5x/efaNo2q9cQhuiRJXFyqM/GiQphyip8+jq5/raSzsTdGTsFUZUqWyvahgx8l6JqC4yUMJx4gE4QxmqZQsXWC2CdLEQ3OLGMwDnD8mIOBi6JIBEFMGCZkCNGYqiqkyHhBgpevEbIsUSsbvHpxiuChOvFJeOXCFPNTZcIoYaYpUm2On2vCKGZtd5S7vDicX6w998CgbGlPXBefhDQVdbMfiLPU2A25uPT42v4Up/gi4uH7XFVkkaiRkxBMXcYyVLI0JU4gSyOiOEPVZOIoJQiFi9YRjgYfhYhyEpGkIqUjBX7+1TnOzIsB6Xy7jCTBX767jRcI16zvfrBLlkl0hz5jLxSGDYqM8VCPQnloQP+kNeThJJ1nOQ+f4rPD4cBDkiQsU0WV5dNa4HNGo2ry279wjv7Yp1bS+dO3N3G9GCR499Y+SzOi7+MFkUivGAVIsiBOHZlt9Cc+y8eGh4d9j+EkIEkzNg/G/K1vncUPYyxDPeFEvNed8N//x9vEeb359WuzfOuVOeIkxTIUPrrfRVMlFFnm1nqf/kgILnpDMTDUVEkQdY7VyRM3Isid+/0gJc4yzs1XcxObB03rp9WkcZJyc7VXEI62DyeFYKwz8IozwRGOepAT76Qr0zu3Dosa/uO1Hv/Z77xMlmaYusKH97uFe2alpPP1a7OM3JBGxeRPf7RRpHZsH074Wz939rHXrnLsLKfKQljrBwmKLFE79l7Vh9Y89djaKQhfLVw/KoQgp/jZhutH3Fjt5kZLBmGcMtcssbo3pDsUKTKOF2FoKkmSYWjCAODKmSYvX2gXxg4f3uuJMy9QLxl8/do0H97r4nkRoyRlc38ihJ6miucnLM9WIMt45+PD3Ak3FElemSQIFDIgga4qqKqEpsiEScrNtV5BsNJUmctnGsxMbGxD49ZGTxAOcmc0+WHmYP5+b+bvF2Bl7snp1JqmFEQJSTr5rMRxyh98fwP32Frwy28scW97wH7XZaphE0YJK3NVkjSjljsOJ2nGxaXGY1O5FVni6orouVRL+gPCA4/WZpIk1sL4mJj+lBNwihcND5NfVFUR9bz0gOSi5M/K4+r148/Mj7tnnZmrFsTHsqUV/bujnta5hRp6nioEwkzsqC/mh/EJslSSZtxc7bG5P+IPvr+OLIFpaAzGIb/3yxcA0W+UJJF0oaky37g2w9/95YtomkJ3FPDOxwe4QUza9/iXf3yX80t13rw6y+HA47VLUyfM34aTgL94d7uov+baJWabJc7MVZHy1IDLZxp8dL9LnGQsTItk4VcvtLizOeDWxgBFlmjVTM4t1lnfG4mkJFXm97+3yteuznDQc7EMteijqIpElifs7vcckWAw8ukOPRwvJiNDkTUMXUWTZRRVZqph0zhWh6Rpyn/463XG+Rq333P5tTfPnHhfD66Bw8Xl+jPNo2xT57ffOsvhUNSwTzN5e/fWAX/0g3UA3r/b4fd+6QIXPqOezcNGdU8yrjvFT4aP1/tFfd4f+1w7+0AoHkYJHx3raQ8mPoNxUNQC002bnUMHRZEwNNGTkCVxphH1T8JgErDbdbFNMfsYjn0MTaYz9JFlieEkYOSGKJKUk3tkRk4gjIsmAZYp1ifXjyGDZsVgqm5wZaXF165OY5s681PlE336esUkjBJsU8tJqRXeu3OIpSvcuN9DDWPIhGBUlsQ62R8HyJKM3RRi91fPt/HDmH//vTXGTsi9rSGWoWLoCh/e63Bve0iaiVS12abNpTPNYr3d3B8XSYH7XVckB2gKaZZhGepj1+U4ESZbR+caz49PEIttU2OmaRNFCaqqULFPnv2f1Ju5vz3MDXZE/+CV8+1H5jGuH/OHP1gvarfBKHhhBFMPv5cXjeipqTIvn2vh+DGmrqBryok6VZYlRpNAGKCmGfe3h8RxRrtuEcQJ11aa3N3qo8gytqmytueQpSljJ2LPdKiWDZoVnf2ug6xIBGFMlonnzAsSDnoeGRIZKZahMdcu8StvLLJ+MEFGIooTuiOfnUMhfjo7W+Xu5pDdzoTdroupK6zvjXnr1YWiRxDFKXc2B0JUGsSkWUbZ1k9wpY64KpIkXtPYzfDDhO7Qo12zqP6EJLmnwTbFvOJZZ3ufB/ww5sZqrxAoBVFyaqz6JUaapvzh90X9l2UZhqHw9aszpJmoLyduyMfrYv8YjgPOLdR5NTdnOcJR7yFJMz683+EoEMs0hDAgjFJhtpKk/O4vnKU/DmnVTP7b/+E6tzcGgBBA//bPnS16eFkmUS/rrMxWGIwDJCReOtfCzvftG6td3vn4AIBb633+5rdWWJwq44cxU3WT3//uOm5ugrJ1MOb1KzOMnQBDV9nYH/P9D3YBuL89YuSERX16a73H8my1SBxV1JPCxzjvfRw9P0c1zhFmm2U0TSGKUhplo3i9INavE3txED/V3OHIRDpJsyK5+Flxdl4km7h+RKtus7YzxDZV0izL664M8rODoYvUlON7xZMgI2qCo9pNVSWkY8uc+gSR5qeJo/mRLIvXcdRuflyf6Uk4zp096Lm8cqH9hVyvfxahKjJpKswTZAmKwv8Fgqk/egZ+0VM44Mkz2y8y3rwmkpm7Q5/FqVKRTP1lxOmk6KcE2xSRvXtdF02VubBYZ2m6zF+9v0MYp7x8rvVIxNXjMHSC4tdxnOL6IlLZDxNGToTjR2QZDMcBr1+eRpIk3rt9QL1ioMgScZzy7u0DkGQsU0ZRZMaOcLWQgNsbfbIsY3V3XAwnMjI+ut9jMAmFwEACo1miZKmcXaixmjt2A6RJxn7fRZFkbFMsDsNJiKrIbO6PkWWJlbnqU0kDrZpJd+jTrpuM3ZAwTvjalRmqts5u12Mw9pmfKjPfLvP+7S6doUeaZbm674EDTJJmmLqKLEvsdiYn9o3dzqQQcXhBzNrOiDhNWZwqM3LCgujZHXr86OY+Z2arrMxXn7rpH7leSEioioQiS7xz64Dphs1vfPNBkzRJM9Z3R7kLm1E0ouMkLQQcQZTw0b0uK/NVvvXybB4bJLF14DByIpZnK0WBN3FD1nNxxfJsBUOV+asPdhlNQhamS3zt6qz4Oi8sBBxAUdA8Du26zSsX2tza6GNoCt96eY7/8MON4u/dIGbohEydDps/NdzbHgCnKRxfFLx2cYqlmTKb+xP+6Acb/J1vn/+8X9IpvuCYbYrEg/44pGyrzE+VmGmVmHhRER195Iima08+PMuyRMUW0ZvKthASzrRs5o45yEw1bGxD5aDnUrJ05qcfNOYcPy4EHFmWsd2Z8L0PdpifKrM8UymihsXfC+LzkYijO/QYOEFBrCrc+nKs7464vzNkY3dMEqfIpookS2zsOqJhnInI1q9dneHGWhfbUPmb3zhD2TYIozGWoTHfVtjvukiKhK6rhHFClCSkGVxYanBjtcudzQGaKjPXKuWHP+G2GcYJux2XJE155XybcwvCQXN9b8Re10FComRpvHZxCi+M88jXxgm3m9mWzd3NAYcDl5Itkk+6Q5+KoWEZKo2KQZykhUOVJEnMtUrYpsZ0w2C3OyFJMiolncOuRxJnNKomveFJh4EwTpnKHT00VaE/8tk6nKDKwunrcXXQxIuKhgnAYBw8VsQxckIOe27RiGnWzE90QZQk6blcwP1Q1EZRkjLfLp26+HwKaFZNpps21ZKOktfXtqWhqyqdnkjPMzRFOOgjE8UJSQbEKUpJxlAVgjhBAlRJ1I1hFAsH/rxhJwktEqauomsKcZKSpELwoakyjhexsTfGMlRW5qvPfJB/+Pp/85U5vnN9RwiNpssnSJUjJ/yx7pcnrYuDsc/3P9wjiBJeOtfkwqKo38MoKQQcQOF2fYpTvChYnq0QxSlBmDDdtMgyuLnWZ7phs98TKZN/880z3FjvsbU/plkt0x8HRElC4Cc8yZSxNwrQVUFaMjSZKElxvJD37nZw/ISvXZsthtWmpmLoIh0rScVz5fgRsiSRkRWDmePPZr1iMNuy6Qx8TEM5QSI/jumGzcSLGE1CyrZ2oo45xU8fw0mALEnYhlivx074ia5fp/jskCQJf/SDNXY7Dq2qhReExXO203FYmCojyzKyLLM4LZydFVlGUSU6g4AwFi52i9NlVFUkvh05j6kKZCn88OYeXiAEm998ea4YYm7sTYQzrSPc+hsVg1/52hIgenEzrZIglVuCBH4ESRL14WgSUi8bvHK+nTv0ixpnc18hSTMURSZJEkauWEvkwwl7XYfBOGR+qoSuyXzvgz10TeE3v3WGuZxg4PoiVbg/CvL0oQRDV4jjFE1TGIwDDgdePnzNWJgSa49lqFiGSqfvUy5pwmE1b/45fsxg5BWimAuLdVZ3hqRpxvJshUpJp1LS8cO4EHAA9IY+YZwWjtWDccDWwcl+5tH1OjtXY+twgqbInJt/0Ms53gPWVZmVhwxZFPn5avNTvLhY2x3y3fd3GYwDLp1pkKQZsgSdoUd/GDAY+0y8GAlx3+u6InoIXsStjR6dkcfl5QaXzzT5Wz9/FieI6A99zi5U+fnXFnj74wNSpDyR78H+Pc4CfuH1eWHglO/7ZUtn6Abs9x1hXmSq7HZcyrZKvWyiawppmrGxN6KekzmO6gAviLFNlZXZKrc3+6ztjvj51+ZRFHFuWd0ZEYQJQRRza73PcBLSrBnIkizIFw3rBFHBD2O++/4Ovh8z8kJmGjavX546YRY0dIJCwAEP+tjDiVgzZ5oleiOPRsXk/GKNnY6DH8i06ybNpwxdj3ou5xdr3N0c4gUxrdqjSV8gerRrOyPSLOPM3LOfn05xii8KamWD1y9P89FqF0NV+LlX5tBUsWdt7o+JkxTTUClZGstPIB7JP8Ge9fAeCqJnwLGzjONHReJIP3e8PsJxoRVAEMYEUcLW4US4gefLytrusPiaf/A3LvP//DcfMByHXFlp8g9+/TJ6fubRNYX9noMsy8w0LAaTgL2uQ5JmaMeMX0ZOyOb+mNubvdyoLSkc/7/95qJw3VVkzi3UCMIEN3cnr9gGnaHHn7y9TcXWeOvVeRRVolYSxKuPNwZ4YUycin7v2BHi+eEkQFVkNE3mux/ssr47QtcUwigijBKGY2GKI0kZYZgwzjIxLy0beEHMleUGC9OVwszv7VsHbO2NWZguM9sqPTIHfPgajCbhIyIOP4z58F6HnY7DVN3itYtTogbS1Ud6lRMvYn13BMDSTIVqSWd1+8E1yTKRUPBZiTiOjPAOex7NmvHCunZ+kZEk6Qly48SNSJK02Bcd/2RPe7fjnBB9RXHC7/zCWX5xssAPPtphNImZaVnsf+SSpilpJuGHCR+v9bh2ts3Ejdg8GLPbdbgwX8cyhdN0taQznITUy2JNipIUXZGwDbXo5e92XVZ3RwxGPpIsI8lSnnyh8Ncf7dIfBcxNlXj90jTru6J+mWpYzLZKNKomr5xr8b2PdlmZrXBvZ4iiSFxcajKaBHhBxOEgI01j0XvRJtzbHvJXH2yzd+hi6jJ+lBCnKWGssL7nkWUSVVsjiETa6tJslb2OQxSnDI7NaeIkZWGqTHck0koWpyuPdaF2/bggjYIwgzxz7O+Pnof9nkuWZrTrNl4QUbZ1GhWTqSekCRznnoiaLnmkZ9AbeoWAA2C//2SOwRcNZ+aqRPGguN4/qUPu5wFFkU/MuY7Xqd98eZbvfbBLEAozue7QJ0pSJl6E68coqkzJ0tF1hSQRvJIkSUXKhReSZRKaJqHrCmkKYRoXruZeGBPHEpomI8sKGSmqKjPTLiEpMruHDo4fQZaxuTdip+NQq+jUSjqTvC+QkuEFMe/c2ufsQo2rZ5pkmTBpurrS5OZalyTN+Orlaaq2zg8+3GWv69Ko6My1SqRpRn/sM920OTMjsdd1kRWJn3t1njhJWdsZFTX9/GPmaT8uNFV5oht8d+ix03HQVJmVuernYs7geFFBQAcYjkPmT7fALy1cPy4EvCJFKuXsQo2DnoehK3QGHq4fE0Upqipxb3NQpMtONSxW5mt4YUqapkw3bTb3x+x3XZHo0LAo2TqSFKMpMkmc8s7Hh3SHPrMtkVgbx2JeocgqXhizeksIM1462yTNRIpGkgqDltePJcRv7I5Z2x0RhDHVksHG3gjLEAaPUZyydTBhvztBksSco2zr3NsaUrZ1/EBw+pI0RZFltjtjLi8LkWmSZCRJzEf3hyRJyluvLWBoCh/e76BpMpcW69zfGTF2I3RNJPRKEgxGITMti4WpEn91fQcyaDdsLEM79llHdAceg7HoYSoKn5jQ+ZMYKh13dh9MhIAFBOdwfqrMQd8r+pIP7xVPgqrKfOuVOd6+uQ/A164uoGnyE/uYnwVsU2NppkIYi6TF2ZbNuYXac/VdjtdSUZzi+vFnnoB0CoGSpbE0U2W3O0HXFFYWXjyO462Ng0f+bG1/wMpM/af/Yj5FHI5ePL7EVy5NM3ZDUctMlbjwJebMnk5tf4qYb5dPKKAtQ+XvfPvCc32PsqXjuKKxaJlqofo0dJWRExAnYhg01y7xrVceOCDc3RwAkEkZS1MVbq72ABldU3jtQjuPF07Y3B+TkdGomHRHvih8khRZhvduHVCydaq2TrNq8uoFoYYq2xpeHlcryxLNqikIJrE4yFmGwp3NQXGQuLMx4LVLIsbxKGbtaJBTK5ssTFdoVk0Oel4RG+36EUGcYBoKrZpJmmX4YcrED1FVOXewU5hrleiNA6olA0NXCpW+IFJ2i8+jXX/gAHZ3a8DYCUmzDMcLmW+XidOUsRNyOPBYnK7QG/m4gUgUEW44EAQJbhAy2xLXNE0zQXjJMqIoYetgTD13AXv31mHRCN85nHDQc4kTIcKxDJV23UJV5CLi7IiMmiQZkiwzlQtbvCDGC2IMXSkiIW9vDoqmze2NPlGUsJ3Hw328Joh0Z+dr2Jaeu6aLJsvjhlPH8drFKV67+ECB3ayY7HWFK4iuK1ROC6BPFfe2RGP7/EL9830hpwDEAfd3f+E8//d/eZ1//Wd3+M2fW3nEifgUpziOSsng6tkWrh9j5g5qiiw9MfXpk2AaKi+dE82GLBMpV6oqBopRnNI4ltpzfEhSMlVqZTHQiOIUVZGIk4zdjoOlq5RtrXBVQqIQcAAYmszYCQkjse8fOfkc4XDg4ngxui7TH4uGjJxlLM2UKR9zdbp2tsVvv3WOdt0iyRO6VEU4A6mKzNWzTaaaFt+9vlscxg1dpTNwC8eNztBj+2DChaU62wcTVuaqvHf7gAyJRsXgex/sMN2wuLs1IIyEgGSnM2FpRggkXrs09QiR/KDnctB3qJUNSpbG2u5IxInaeuFG3K5bXFyqU7Z14TiSD7QBDochlqGJ/TuI6Y18JBkcL2SqYXMnr7WAIpIVROPg7tagEJPe2x7yyvmT3dQ4EelokvTArKBsP76p44dJQTQLo6RIOPmkNcoPYxRZeqYY0vvbQ3oDjzBO8YKYsq2froGfAlbmqvzJDzcwDJU0E/ekBDSqBn43IskyDFXB0hUkCZI0Rs5F2IauYBgKpirjRSlVS6UzfNAcFcLrI3fYDF0V6T/LMxWmGhaDccDICbAMUbcrilQMOJ8Vg7GPron17W//ohA3DicBN9d6Rd1f+gRB0fPir67vFPf7Dz7cYzp/ZjVN1PlHjt1Hz4vrh0Rx9kIO407x5YKpP9jn0zTj7Y/3CcIE21C5tNTg2rkWhqbwu/IFtg/GfLTa49//1T0GjiB4hl782O8rS2LIKMsSQZRgGsLVe+xEHPQ9/uKdTf7uL18kjlNmWrYQjmUZWSYa55ah4uVJm4amPNbEYLppM/cJsdayLHFhsf6pfFZfdjzP/v0klC2NwRFJ/aH67xQ/fXzn+g4f525vg7GPmveyANo1iyQD1xXNdjeIaTVKwql2LMxO0lS4wS7PVnglJ1p7QcyNPGkizVLWdkIkSUZTJb7/oSA3hFFMGEX0c1fcKIk57D8QIldLBlfPNsVAV5FZ2xsRBDEZkKQibfdIuOn6EW++JMQfG3sjNg7GpKlwcqvYJkFO7tm+P6GZn1mu33HY2BtTskQv6d/95X3+17/7cr6Xpxz0PdE3jETix9JMmSTJCKKE7YMxsiwTkmDqCkkuVLVMlV/4ykLxfPSGHtuHom9l6grtY32vakk/0eM6gqmrVGyd/jhAAupVoxBwxImo4/1QkOyjeHDie0w37ScmDMy3yyKhWFNPRVNfUvhhzF/lwuexF3Ljfoez83Ux4FQVNEWc5yxTZeyGKEjoqlyIlXqjQKTvuTGaqjByQhbaZeaaZSxT5aDvcXG5QXfoC7JdIJynLVOhVja4uzGk9bLFdN3C80U/2dRVFAX2Oi5+IJIA62UDP0iEW6emMNN6cE9rqpgdlC2N/sinM/CoVwzOzFboDn2WZ6us744ZjEUi5/c+3KFia+x0XLYPx1xdET2S/Z5b9LEBfnRjn51DB1mWqJcMvvXyHIvHhKFxkqLJEoYuE4Si3m9WRX1ftrWccGww07R45cIUiixRr5hEcUryUB/jcdflaF+9erb51K+tlQ1eu/TounGKU7xIeOlcqzh3HOFo5vZZIk5Sbq33CjHYnU2xhz5sQnL895YpDNmO5oiaInPYdylZGrapifOJKjPbKvHB3U4hUptrP1i3lqar/J/+Nz//yOvZ77nEcSrmhyMfP0qRJBiOAnG+Qjh7z7fL3NnsE0YJ+12X/tinUTHJ0pSzcxWm6lZB0orilCgWwlNZlnJBqk+9ImZ5ijzk6tkWZVvj3vYQQ5UY5UJ+RZHQVQlVkbl0psFM0+b6nUPeu31AnIgUMVWRUPJecBKnxIn4LCslHSeIefOlWaabNldXWqzuDOmPAv783S0mXkQQJazuDKlVDBamysRxKox8bP3Ra/CY/uO9zQG31gdkWVaY3n392uxjr/XtjX4xn7yz2ef1S9MsTJW5szUovmZx+rNzBldVmV9+Y+kz+/6nEOTxo14BiGdVUeRiT7WMk8/uVN1i7EWQibmGqsiip181+ZvfOld83w/vdYnynnwUJ0WtIISZYg5+a6PHXKuMJEuULZ1WzeLMbIWRE2IYCrqqcvZY6len77Lfc4jijChO2NzX2Dp0eO/WAUMnIssyukOPve6E6bpIHBZnFA1TV1nfG9OqWgzbIa2Gzdm5KoausLk/Zrsz4v7OCCXvtwwnAe/eOoBUwvUjJp5YExRJJU5SGhWD/jgkTjIsQ+Pich3LUPHDhI29Ue54niFJErIs0W5YLDzhWfHDGFmSsAylcM4+EqcdzVzgwfOw23HY3Bfmj5ahsThdKQzGHgeRlCTOoEf138No1gxUVS6e90/iGHyRYGjKI3vhi46H69S9nsNWzg0ZjgN0VSGMEqJ873M8IbSwDBUJYSYaBBGyIuEHEReW2sKUVZNRZIkoEfukIok1IAzFHqRIEsNxwG5nwvkFkeS0vjfioDdhc1/M3kxdZeI6rCzUuLc1JIpigjShVjLQFQU/FMJEEK/nzWtzLM1WWJgqc2utL/aVJGPoBFxZafDy+TP4fsJu10FVZc4v1rm03KBeMVjbHRXzzq2DCbapnUgEfRyiOCmMYH8cOG7IzbUemiIjSRKr26NPPFd8FrBN7Znmiaf4csDUVWxLK4wQmlWTxekKi9PinH3Yd/GDmDQVPT43EGYqSZLh5qLq1y8ppBloisRH9zsinQGxHtQrRpHY6XhCzAjCKFK48Yt9I8sy9nsulq6RAWt7I1RZFsYvsvxID6039hhOfJLkgbngQv6aR2OfncNx3hNI2NobYxtaMftLUulEv+3MbL34tSTB5r6Lriqgyly/c8D5hVrxeex2XToDL+cwSIRJxq9+/QxhPmv/s3c2Wcnnp0dnjjB6IGQ8HAhho0gLE59BECV5UpJEkqSEcYqhiXOC6wvuRf0x6XdZlhGEScEB8cKEwcijXrWw9JP7cdnSCtNmQ1OYb5eL9/S8WJmrnUghBD6zNJ8kzYrP9nga1ly7xFz7xzf/qtg6QSh624oi6qQXBQ/fMy8aLEPl4nK9MKiearx4ZqBn5h/du190AQdwIi38RYFtqnzz6jS7fY/l6apIgv+S4nSK9IKhVtK5s9EnTFKqZb04mBuazEweSaqpCjPHBiNfuzKDZagc5Ae4vZ7HwnQFQ1VYnKnwN7+1wh/9YJ3e0Gev61CyNL750jS6JtwvFtpiOHRnc4gbxHh+TK3ygMB/ZraKoSnCdbpu5c5dAwbjgJItGqzHleBhnDByQm5v9EnTjGpJOI7LsoRtqlxYrPHB3Q6KIrE0XaZaNuiNfSSEY6Tjx9Q1BS13semMPFRZpmyqzLdLjJyQmZbNbKtUiEMWpsq89ZV5tg4mtGomV1ceHNY7fY/tzoQgTPDDGHclFmKFI/KmrvDB3Q4TL+J77+8w2y7h+RG3NgaYusKZ2Sp/71cucGO1RxCKg59laZSPNUS98AHJZuKGrO4OSRLRYJmbKgHCkezqSpPdrkN/7FO1ddwgYvvAYbfjkKQpi9MVZEkqCGtpmp1w3UiS7ETaBuTxsYCuyvzam2e4cb+Lqsq88pyONL/4lXnev9chjFKurjQ/F1eBn2XczZvap0kcXxz86teX+ef/8Tadgccffn+N3/2F0zSOUzwZmqqwujOkNwwo2xovfUpNuzTNuLXeZ+yGyLkoRFNlFqbKjN0QQxOijeP43/7dl/n3312nM/Qo2zrru2IoMNuyWZmrIUsSjh/RqJgn3PSEm6Wdu8kqLEydPDjPt8vECdTKekHsXJgq8/d+5SK2qXFhqc5wElCxddp1Cz+IC3K3JIlGv6GpzLVL+GHCz786x92tIZom88alGZxjhNSjA/0RASNOUoI4Rc0PslkmGjpH+6GZp3p0Rx6tmlW4DR/h3/z53fxzjLi4XOPqmRZL02VKls6l5ToSEmGc0B/73N4Y4PpiL7VNjUbV4MJinSQRdUKSpGQI0Ygfxrx2YYpzCzXSNGWv5zLbFG4RR4iT9EQaWBSdJJUMJ0EhdlVViXrZxDJUZluPH6yYusJ8u8TEjwhCIdxMkoz5qdITmzWrO0NB0pPg3HztE4f1azsjPrrfIc0EmfDa2dapiONTQpImxHGGH8YiSSMRBMSypTPdsHjr1Xlubw145+N9USuq+f0fxiAJQYeuKsQpJGmKJEko0lHkrSCDGbrG3JTNlTMt2nWLetkQLuzZg0ZQFD+d3PQw/vTtTbYPJkgSfOPl2SIRwzY1kjRlMBZr37MkCz4P/GM1dJYhyGm2jiKLunm/J9yA5tolbq51efvjA8hgZb7KW68tfKqv5RSn+Kzgh4JgE0ZpMcCPkxTLVLmwWKcz9FnbHtIbBQRxiiJLmJqEHz0+jiNJM6q2hh9laIpE2VRw/YiDvstBP+OHH+2iKAq2oaIqYuDxlUtTzLZKTDct/CihYuvMtkonmuogRH6dwbPvJ6f4yfC8+/eTMNcW19ILYppV81TE8TmjPw4YTsJ8gCnx1St1lmaqSIiUnj/4/jqOG1GyNIJQ1KcSEvWygWEIl/75dumEi+pcy+a713fwgph6WWe/7+L6CbIEYzdiv+eI+jmImG/ZjNwIQ1OYm3pQb5qGSppCb+xTNjVevzzFD2/skyYZZ+YrdPqCKK5rJ0k93/7qEu/cOqDT95luWrz58ix+kCBJEn70YB8Po4w4PuYS6YS8d+cwNy+BhXaJkRehyhLlks7ICQnjlFpJZ3m2ytiN0FSZaklj6IRESUrtWF8U4O/90gX+7N1twijhGy/PYlnPVpdcO9vgex/uIQEvnXtwjkvSLE8SCUDiqcSn40jTlD/50ZYwaJHg51+bf2QweoqfffiBcLDVVYVWVQgMLp9psNd12O85DMcBEy/ORRI6aSpStuM4YOSFNCsGEzeiN/IZuQGmrnBrfQBAu25yYanGf/rrVyibKne2hihZxq2tAUgSuqrw7p0DKiWds4t12g2LnUMHy1DY2BshKxKSBGdmK9iWRpam+GHKV6/O8ObVGXY6DmmaMdO0UWSJWknnYy+iPwloVAw0VaR2CGKCIDJEcUKaZuwcThiMA8Io5eVzwuzp4bOH45/sXR+v+Y+fj8/O1QjiBF1VCmf1C4t1kbqTZsy07GLY3Rv53MvNE5pVkwtL9UeuyfF99exc7YUcMp/iFC8KDvtuYWhStrWiX9WoivScI1f94wYspq5y5UyDztCnO3T5y/e26Y48amWDb391kStnmlxbadKqir7Z5v6YqbrFb/38yie+njBKmHgRtqkJ45jDEbOtEodDj4WpMgtTZVRFIc0yojhlc3/CcBJi6oKMPZoE/PXNA9b3Hd68NsNMy+b+9rAQw3/18hQf3O+iyDKmobDfc+mPAzw/ZmGqzAf3OlxdaWHtCbfw6YaFG6Z0hiOiWPT2eiOfsSt6faoi0agaxFGCqkpomkKGqNdMTST+DsYB7bpdEIDE+0yREGRwP4hZnCrzjZdn+B+/cx/XizB0hV9/c/mJ1+AIbhCTHTUzM3FmfRzSNDthApQkGWmW8Y1XhAHgdnfC+YUa187+bJGnv4y4stJgpyPE0vPt0iN76pUVkQChazKzzRJjN+Sg77Jz6HDYF27VV1eahVkSwLe/Ok+SpIzckPMLNd64MkMYp7QbJrWyThAmhFGCG0RYpkaramJbKh/e63DQ9xg5IeXcdPJibqQlSRKWoRFGAWma4TgRf/S9VYIwxY8iaiWD4SSkWhY9j69emkZVZQ76Lr2hz/U7h7h+LFzFk5Q0zZhu2tQqBh+tRpRMFcvUaFYNWnkdYZsqZ2ar+fvQcbyQzYMJhqVTtTWaNYtvvDzL4nSF/ijAC2K2Dya06ia2qbIwXWG6YT+x976+N2K/64Ik+BhXV5rs9Vy2DyYMJwHv3T7k4lL9hKHNUX1W/D56/DN8hAuL9Ufqv4dhmzq/9vUlbm8MsAz1EZOqU3y+WGhXuLRcZzgJmWpYlCxh1NKqmbh+zJnZCkGYsDxXYXmuyn/4wRp+lJDGGY4fs3UwoV23iKKUakXHUCQ2Dhx0XaViqTh+gqZKpJnoLf3Jj7a4udZnOAlw/USQw7OMsws1LF3FklS+9fIsPyjvcdgXSQBlSy/2DFmSAYne2Mc2VKq5AGHkBhz0PZEwHqfcXO2hawpZlvKVS9MsTpe5sNQohBoP39sP3/sPozPwuL8zFO76devEHO9ZMPEi3rtzyNrOCFNXWZwuf+LP/KxgGSpXVpp0hz6mrjxzv+IUP5tQVZlfe3OZG/e7yLLEy+dOrtHLsxVmWyV6Q59G1aBq66xuizQfy1CZbpp8tCoMZ87OV2nXLPZ7LpIkMdcq8UuvL7K2N6JWNuiPPDb2JsX3fuVCi60DBy+IubRUZ7vjMpiImqFq6/ztb59jbXf82L3DMjWCKCWMEiolnfRY6yBJoVHWORj4SJL0SJrFynyVKysN7u8MOTdf45e+usgH97o4XsTZ+Sr/03dW6Y19yITgYXGmgq0o+ffOAImJG6LrMqQZ7985JIpTTEMYYwShEFHXyjp7XacQO1ZLGoosMfFFD1ORZT6838EPhBDjzGyFtd0RSZJRsjRkCd6+JeaWy7MVfvH1xeI9PMwBaddN/qe/vI/jx5RMlf/0N67QPFarX1puFCnEj5vdfBERRAk3V7uEkRC1XD3bfKxY9MfBSi62jeKU6Yb1E5lg/TQRxSk317r4QYKmyo/UyC8CdE3h6kqTw4GHnhstvGjo9ieP/Nled1KYuL+oKBkv3uzv/TsH/L/+7UeCB1/S+T/8wzdo176cdc2LtRKcgp2uQyN3N/AD0Xis2DpIwkGqXjZQVJnjuiRVlXnt4hTffT8qNq5W1eKlcy1evzxNkidiAJi6zOrOED8Qw5QjB4ijTUM0BEWcWZJmHOZxmR/c7zBxQpZnK4yciP4oIIpF5OZ3399BliURKSZLvHFtJh/o+ERxSn/sk2UZSzMVkCTSFF4612av5zBwAupVk2tnW/SGHr2RLyIWswzXi1Bkiaql4ykxtqUjSWDoCqNJwDhPJmlWLVRFYqpuP3ZoGqfCwXvshkgIBwHPj6mUdNww5qP7HfZ7LjPNknDTGfv0xwFhlFAt6dxa7/Eff7BB2dYwdBU/iBm5IdWyRpaKwunyMSf2NM2KAjRJTxI7dU2IQjRVZmt/Qq/rYOeH7K2DCRM3pFkVTklhlNAZemiqTBiJAflUw2K+XWK/75JlYBkKZ+cfEDprZYNvvfogoeV5oOsqX7sq3HZ6I5+dwwmNvGF+ip8Mrh+xvicip39c1/5TfPrQVJm//2uX+G/+5XX+hz+5w2988zSN4xRPxp3NPmlK0Tz88H6Xt15bYOSETNyQSkk/IZh4VgwnAePcifeIEHF+sUajYlDKnVaOpz4AtOsl/uHfusbH6z3e+fgg33ce7D1eIAYRDzuvgdjvl6YrIMF2x+G92wfMtUokqdin4yTD8SJMQ2WuZVMyNb5zfYeZps3lM40TDkz7Pbcga7hBxObtMVNNm9WdPvtdj5KtcWm5gSJLlEvCAUjTZHpDH1WRRJMkEgdYz49plHU2DyaMnJBXzjVpVk28IGG3I+oF4QCWMHB8/vLdLWZaJS6faTIY+Xxwp8PBQOyNN1cTrp4Rw8PDgUMUJZxdqDJ2E9ycRHPQ91Bk0RTqjwImXoQiy8JVLJPIkgxZhhQ4HAqXh5lWCdvUHhGQmLpCvWIUDtgPizO2j9VEFVvn3Lz5VLegVt2inhMw720Pmcmv/86hw1yrRIZoRoO4N4IoeeCynMHm/ph23SKIhMugriqPkEIPBx5H+tuxG+J64WPul1P8OJifqnBva4QXIdwUs5TOwKdeMbh2rk2YwNb+OCc5ZkT5/0VTMSPLJJI0y92qyO/JLI84FwM1TZdZyh3WKiWdJElRZMjISLIM348oWxprO0NMQ2Wqbj01ovaw7xYpb1kG79/tFiKOzsBDUx4MCXa7znMnfAD89Y091ndHXDvb5KVjDeZLyw2u3+kAYrDSqj1YY0xD5czcg1jfD+50RRwJQoj08rnWY51tTnGKLxoGE1+YIkQpw4moGcIoEaTNSYCuqdzbHoiEDUXGccN8TXgUYZyRZTFRolErayRJhh8nlCSxNyVJxp++vYVhyJQMlQtLTaol4cBdsfVHaorjcP2o2F+O7yefJbIsozPwiZKEVs36UtXiXhA/dv/+cSBJ0qfeSI/ilM5A1EvtuvVCDI2+KFiYKpP7jSBJcHa+VvRavnN9O9+3JbwgojfyGE5CZEnCNmUWZ8rUSwYVWxPkgdsHWLrG/Z0+siLcnCdeTGfoM56EaJqMokhFgp8sy9SrJtWyiSzB65em+O4H23g5qaM7dNnrONQqRi4YV0iVjJKh4dsJlqGiKBIXj5GjP17rcWGxwYV8BjnOEwFlWeK1C23ubgkTk3bNRJEzdrsekgTnF2oMxyJRzjZVJFlCU4Trp5SBIku5gDtD1xVmTA0kCHPH3wyJkRPxwb1Dbq0PmGvbfOvlOaolHT+MsQ2dd2/t886tQ1ZmKvzqN8489nokaUZ/HHLljBBv9EZBkXYicSydMDuZgPg07HbdIsk2y+CDu51TEceXEPWKyWyrxF7XwdRVvnqlRRSnlG2Nm6s9HD9CVSQMTSYjww8yFEWQX+MoZfNggoyoeTVFYnVnCGSEUcrICSGDm+s9rp1v89ZXFtnYG7DZcQiihME4QFXEOmIZGhcW65QtjY/udUlSYSpkGTK9cYDrx7x0vkkrH44dCSR0TSnOCNfvdDjMUzh2OhM2D8a8cr6N6wlHazeIMA2RtD1yhEisWjLojQIuKdIj+9fCVInV7aFwetYVtGMu0juHTmEGlWYi6bNxrKZXFVnMEB7C1sG46LH3Rj6T/LWNnZCSJRz8T+yrB+NCxBGGMe/ePmC363B+ocFL55pfate3U5zi08DN1R79fB4IUDnmDt2qWY8VDgDCGM3WubHaZTAR6WGDccCdzT5L0xVKlsaZuWqROKooMne3hsRxxtmFapH4dYQsyzgcCDJoZyhMICxDRZZkLEPDDxL6I5/ZdonZlk1v5LN9MGGv4zCciPliyRLijv2uix8IIURtT8P1EuIkYa5d4o0rMyxOV/jD76+x03FQZZlzCzX2+y5/8qMNFElif+DS6XvESYauStimThSn/PWNveIz0hSJUBK9HteLiGLR021WDbxcJBslGdMVkySFj9d72IbKTNPm9kYf21A4dEMsQ+Xa2RZ/4xvLvH+3W7gyB2HCzdUe33p1vrgGfijSho/3B8/MVtk+nDBxxfp+lD7ieBHDSVA4ncuyxEzDLpJOFEWiN/KZqluFkOMUnx86A5fN/QmNqvET16Ka+uA+ePisunUw5vXL0yd6x7WyUYg2jwjGez2XlWN9vIWpKi9faBOEQrjRqJqoisw3rs3ywxv7DMYBUw2LqYbFQd+jXbeolQz644Du0MMPE2xTQ9dk/uLdLV690GZhqoKlK3iaTBTFjPyQME7QdZkwyjjoe8iyMD3s9F1ubfR5+UKLwchjc3/Cfs+FDII4QQLSNGGvMyGIUlbmasRJSn/kY2kKhiyxtT/GD0Xa2c+9NsfIibi5JuqtDKhVTN68Jsxw1vdGeH7E2BXz4J3uhEvLda6uNNnen+CFkajZjs0WjlKBAIIg4s/f2eSVC21mmjadvuiPeH7E9TuHvHy+XcxmpuqWcBhPRBLKk3oJx9fImab9iaTKdt2mXf9yEqq+aPD9mD/84TqkGd9+Y5GphthbFUWmNxQpl1M1i97IZ7ZVwg8j7m8N2dybYOgS1bKJGyR4fkycpIydAMvSWJmr0B2JlL162cTxQoIoxQ8jNM3A1BQcL0JCwnUjVndGVEving2jmN7AY+JFLE6XGUwCfuXry3T6Hntdh72eS71iYJuq4OYAs03Rq1rdGdGuW6JXkvdLDode3hsRqeIbe2MsU+PKsf7T0f43dkMWp8onzg2Pw+b+uJgfdAYec+3Sc/Fcdg4nqIoQbPpBzMQLOfucQpBnRRQnHA48VEVmqm4VxrXHUbF/vLnzKX42YRtqsc+aDyU4pCk0KyaWrmIaCkmWkuYPQ5Jm3FztMRj5pFnG5r7EeBywsTdGkSVeOVfDMkU6b9nSmG7YbB86woROV/jalWlW5oVYwjJUHC9ifSwSctp1E1VV8IIIRZJQ1ZPn7DTJsA0VU1fRNJlaRWVrf0yYpFxYrGFbBnHPQyZjtmVzOHD56F6XsqXyv/sHrzPTLHHlTJOyrSPL8on03LKlFUk9tqXSrlmF+XG7btHpix4HEnRHPqYu0rJKpkqzZhazSMtU6Q79gqsxdh8Y88iyxNAJkQDHjzF1hQ+dACsnUTueqAuUvL+wsTemO/SKOnw4CdjtivrDMlSu3z3EyV+j48f84KM9fvPnzhbvSZak3FA7e6b0huEkwPEiqmXjc5vxH/RcwtzcMogS9nvuY3s6Pw5kWWJh6sUj3HcGHn5wZIiS/thz9c8bJUt7oc3C5h4j1igbL/6eOvH8z/slPDf+/XfXGHshcZISRQn/4fsb/Ce/ceXzflmfC07Z1y8YHt6Mi9/n5C1Nk1FkmfgxpI6Hi6Kjw7gkCffaWtngzmafkROyc+jg+BElU+HG/S5//1cvcGGphusL1z3LULm72Wc4CfmTH26wfTgBSTRvzs3V2e6MaddNOoOA+ZaNHyWYhsJcu8y9zSG2qbLXdfHCmMEoQJEkxl50ooEz2ywhSXB1RRReSZKyMldlOAnoDH1GTgRkVCs6C1aJ8ws1ukMhsPjrj/aYeCEL02UcL+bNqzMYeePy4Y3kyOFCVUQcXJikdIY+cZwxcHym6yVkWSZJU8aeKDAdN8QLRdR8FGcMJj69ccBMw+K9ux0sQzgTzE+VeO3iFFPHyDDlks7KXJUwFpFh1mMSLebbZeGyqCn4YYwkSazMVVmcrjDXtpEliQ/vdQuHnbKtsTxbLQ5qv/3WOUaOcFv4tBMz9roOG3sihnWn4/Dy+dZpKsdPiDubwpVqumG9UBG0Xwb82teX+Rd/fJvDvse//fN7/P1fu/R5v6RTfEGhPbTHaorMcBJwa70v/kASgr7jjkjPgocJcbIsRJsvn2/j5A5qT1qDy5bGymyVIEowdAXbVLm90eevPxLDwRurXX7jm2eKxrumCjKEF8Ss747o9D1cL+ZPJ1t87fIMhq7w1ctT9EY+f/X+rhhsdF2aNTEIWtsd8TtvnS3IDkevPUkS/uxHWyBB/7rPMHeK84KYt16bxzJV7m2NaNVMkiRjYbqMHwgxha4qJKkgoB01j3VVYavjEsRCWNKomrx/55AP7nUgE3vTfLvEwlSZ7YMJr1+c4u72oBCURHHKmZkS/7//eAc/FI3qZs3ktYtTbB9OODNbRZJEM+QIiiwx0yoRpxmuF+KHMYauFl8znATc2uiLBvBD11qSBNFt7Arx6cN1SG/ks5cPYwbj4BOjlw1NEYQZP8qJ+1L+c8Tff7zWKxpRIycUJHfBfxPvRREO7zfudx+IbPyI5dkHNVizapCmaUHw+bRcMU4Bl8800RSZm2s9HC/kg3tdQKS//enbGzTKJjdX+yRkZDlnUJGF64y4hEJAFMcJICHLoMkycSIGbyM3Qg0kNg7GqIrMf/I3rvD+3Q62KWrEiRtiGiofr/fwgiQnbPpPjZRXlYfXt5PPxnH8OLGvf/r2Bv/+u+sAvH1zn//Vb1/jSp6a98qFKZHeEyS5s8yTyVSqIlGY+EqPvu5TnOKLCkWWmWuXqQURtqkgyzIb+xOyLGPiCdGVFybEaUaWZgRRyhM0HABEiRDjTbwQSZYxNYX5KZvZZok//uEmXu6iahoKZdugYutIsvSJz+/DYi9Fef7n/XmxsT8uCAv7XZdXLrS/NM+2LEuP7N9fFKRpVrhFAYzckAuL9c/3Rb1AWJgq8+vfWKI7DGjVjBNR9X4Q0x2KRrvvB3T6ubBWgv2ux6VlsT/GScZfvLtd1GirO0PGeSqrF4R0ei6ZJBFEJ/dmXVP4B792kYmX0KwafPf6LnfyVNDvXN/BcUOQxDOmKlAri/7EQV/lH/7mVcZuRKNinCAWacfqxDRN2eu76KqMJEkMJyG/9dY5huOAZs3k9nqP1d0xhiYTJ2nh5tsZZsw1Sxi6gipLHA48nJxsOBhL/OqbyxiagqEpfPeDHUGuAtZ2hqztjI8eE/7khxsYuqi1//K9HfZ7DiDxo5v7OEHE7/7ihUeuh0Quis0XVlmSjolsRL/U82NkSaJSerZBjv7Q2VBVTmvpLyt+5WuL7HbFMzHVsPmLd7e4uzVg4of4foxpKpiolAyNIExJ0wRDVXCCiDRJQJIZTALGboQsyVRLKnGcIikSt9Z7jN2YsRdyebnB9z/cJQgSRl6EJGWoY4XrdzpcPdvk4/UesiSx3RFO782qyV7XxTZSJpLEX390wMXlOrahstd1cLyY5dkKhwOXkqXxzq0DvCBmrzPBDWJMQ2U0CdnaH/P65RlUWSaMUl4538LzYwxdZn6qQq2s8+qF9gk3xP7Ix/UTLp1psL47Zq5VYr/rMnZCXjrXemS/U55RTCG+7oELrudHrO6Oin30zFzl5L56bG38/e+t8aMb+0RxyvU7HYbO8mmq3ylO8RNgbXfI9bsdwjAmSjLm2qXnJupoilzsx0gUxiogRAc3VnvEccqN1S5hnFC2dNb2RvzK15ZOuPSu7Y4KsrmmKLTaFooisbk/RsqVX4auYmgKm/tjbm30GTshH611kCVxltoceqRZRppBZ+hi6MKIZuiE1MoGOx2HVy9O0aiY/NZb53jvziGTScRHqx1GTsBgHFIr6WzsjZFkCT+MuLMpZoS7XQfXj9FUGU2R+dU3FxhNYrwgZvNgQnfkQQZxKrEyW8EyhfPv2Iu4syl6zromU7E0egNBPmtUTS4t17l8pgGS/Mhc+PjvozgtPksQ892lmQrTTZtff3OZ/jigWjKolnRcP+LGarcQzJ1bEEmBZ+aq1Ms6N9Z6SJLE2s4od0B+8YhIP0voDj3+w19vFCJkL4i5uvLpJKI8fFZ9kqDfDxJBmM7xcAKWn/f5JUkS93ku6KyVjcIdv1rWSFJxjrF0lTBO6Y+FwCqKUkZOwLu3DoXwyY+ZqptcWKyzujsiye/rkRNSkwxKuXCcLMMPEqI0RVPFz/54Y5AbKQoR6Mp8DU2R0FSZLIPO0McLIpGkrcisH0zY6bqM3RBNlSlbOu98fEAQJozdkDBMiY0U2ZTY7zvFuSfJUvYPHTb2R4DE+u6IIEwJ8j7Nva0Bv/PWOfR83nP0WUdxytu3OsRxQhilTDUsGhWTMErY2J9gGyp3NweF07ptarx6oY3rx9im+kRn6vW9MQf52eqg5/LK+fZTjX5O8cXBf/uvr7PbEdfuxmqX/+Jvv4wswd2NPmGU0qyZHA48rp5tstdx+PN3tukOPaI4FXMtWTjcH917bpCSZBFruxOiKCFOhQN9lAjDGYmM/shnvmUz3bSwTEHKTtIMLxAN+ThJ2e44OF7E4cBjbXfMt19f4NJKk69fmy3MEsq2zmgSFO8liBJ2uw5+mNAfB1xZboIkztVruyOiJCUOMrojn97Q5+P1HlfPtqjYOlsHEzq5EGljf8zL58PCDPdxUBSJ6Nj84HkNSRRZQpYkFqfFHPXycuMzScBI0owbq73i+pzuq6f4JGRZ9shs+LhxbJKmyIqEpsnIsoxt6LRrNlGSYuoK73y8x9ARfbit/SF7Pb+YP/zP391EUfWipnj98jS/89Y5+uOAVs3CNlVmW5EwrbA07m4NmAkTMkRa1f/nDz8u7uWDgcvv/ML54nXNNG0uLtWFeMJSGYyjQiRxd7PPQd8hTTKQ4O72gDubI5IkYeAE/LP/8UP+zi9dfOxcHuDKSlPwDtKMRtXg8pkGXiAS7/wwwfUj/FAYSTpeJPiOQG8kEjPOLdSK9/Rv/+I+bi5OlRUgE2uULMsEQcSmExQ1crtuFiIOENyL4wkjx2cbbhDzzq2D4rNVH1qTHuae3N0aFIaRnaHHy+dajxV4gagF720NAZAOJ1w92/pchByPzJC/QDOOzwufxlz9FD85dO3RPr/+4ms48ILPJyHsJ8HIDZjksy0/TPDD6BP+xc8uTpnXnxHSNGN9TzSrgigpnDVVVcbUFVbmqsWwNU5S1nZH+EFMu2491SFxZa7Kva0hfhiTphn3t4c08zSERsVAkkSDs2RquH7Ext6YJM1YnC7z6oU2/ZFPbyScPqMk4f72kDNzVc4v1lnbHdEbCSdoxw9JM4r/1nYnLM5UGDmiIXEUV3xnY8CtjT5hnJKRISMxdIXDztiNkGWIEtFUcQ8j+uOQIEz4+rVZxl5YOEFsdyYEccp83tDd6UyKhs3dfKCcpsIloz/yRexi7sojyRL1ikmrZvHBfeHUO/YigjBl4kbEScbQCZnSVUZOiOvH7Pccoli4G8aJiO5amReF2GDsY2gyvTwhpN0wkWXRzJCAhekShiaz1xWO3pWSRhRnDB2fw76DH0RM1YQTZRinJwQcAHOtEve2BvRHAbOt0mMdMPwgZmN/TJQK5WWSZqzMVVmeFc3uSX5fHSGM0hNK+1rZOFGkHvRcDvouhq6wMld7pOB7HgyOHazTNGPsRKcijp8QH6/3AEHsPMUXC5oq87/8W9f4P/93b/Mv/vg2v/r1pSc6hZ3iy41LSw2+/8EuG3tj2g2RdtUdHVM6Z/nA4BlFHFGcsLozIowSHD+iN/IpmxrXcoL/0UDjaZhrlXA84e5UKwt37Q/udVjfGxGEMZWSwW7HoWzrfO+DXSauiCCvlnQcTzRgdztivxw6AdO6jSzLVEuGeD9uyNgNUBRBFhVDiggvbzqkaUazZuIFws2nZGlM3IgwFlHkYZxye2NAs2oymPhYpoYMTDfaYpCSD1r2uhN2Ow6rO0PqJR3LFE4enb5Dq2axuTdmc3+E78eisA9ikkTskZ2BxyQQDnRxEiIjYekyY098LQhnrY29kSBoBTH3d4aUTJUsy9g6GKMoMvs9B4lMfF9JONzEcYpiScy3SwwnQTG4cv2Itz/eZ65VZnlWuARKklQ4Eh2hO/TY67r0R37uJiz2b/kJDZfj0FRx/a+sNFndGZIhasQkzegMPA4HHrIkEUQxl5YbnJmtspWT+s/N13C8qPh8Qezty8e+/zdfnuMvr+8QRgkvnW2ephl8iliaEdHlhq7w7q0DZFkijlPiNBPx415MkpMDjnDsUgHCNUeWRDJdkooGppSBHwJZSrmkoUoSg0nAx+s9DgceU/UHzi4jN+TjtT4jN2Cv6/DSuSaXlhsn6sM0zdjYHzNxxbr1yoU2N9d6mLrCN19+4KbYrluMXFHTj91QCMsM96lu/g/j1lr/wc/N4KP73ULEIX7Gs32vb706x/fe3yVOMl652HokFeenid2OQ3foYRoqZ+eqpwPQUzwVU3WLwSTgoO+SZRIHfQ/XC7FMDU2VRQJDzcBxQ9woeaqA4whJCq6foCqpcIjUFAbjAC+Icf0YWRZDgTQV59zFqTJxkj5VtGdoCmfmTu4nnzWGx86eUZzi+vEj++nPKow8pfOn+Xk/K4IoKQQccPI6neKTMdMq5am6IdWSTsnSuLHaRUKiVhYEuYETYqqiJgzjFEmCUEk46Ls4XkzVVlEUuRD0hlFCmqaizkZCVRWyDCRZwtRUKraOFwqCga5ppE7MxBN9pyOMJgFIEqoszhrCcdMlSTKWZsq8d/uAsRvRqlm8dLbFdkcMN5enS/zgQyGsaNcssixjr+MgIfptv/bmGaq2eF9RnLGYO6Rt5D1TLxDP9cgNhZOcIuO4EZuHY/xAEMm1Y2cfQ1MYOQFhnOL4EXGaFiTv9b0Js+0SpBmHA5c0ldA08Tl+dL/H7/7io9dDliUqtsafvb0FwC++vsD3PtilO/SYaZVo12zePzxEkSUunXm25NSphs1L51rc2uhj6SpvvjTzY9wpp/hZgCzLhStgkmaMnJDDgSDkaroMSBiqgm1p7HYmuH5SOM9auoYsSwShSNY4v1Bnv++I+UImEUYZrh8xdkLe+Vi4VYdJkou9QVUl7mz22e856JrCwpQwOhqMQ5IkE2JPSTi3+kHErfU+rapBEKe0qiYf3euQZhmWoWLpoo4YTEIyMmplE8d/IDrTVNFHn22WuLhcZ7frUC3pfPv1xUdIg0d9ZVmS2TwYs304ES7bdYvF6TLLMxXCSKR7W7qYPyiKxMpstUgKfxzOzle5uyXMG+bbZXHeP1YzeUHCymyVD+93GU0CVuarRHFCFCfs530PAMeL2c3JG8+DJJ/veEFMq2Yx1/50E7BOcYpnwX7P4fqdDkmaMtu00VQFM3fk/WkKoXcOHeplnd4oQ5bFOnJcWPEseOPqDCMnZOtgzHSzxFcuTmEZKq4f8b33d3n39j5pBp6fUClplC2diSuSA8fOkK3DCRVbI4hSSvnPbtdFsp9lCCfh3sinUTG5sFTH0BQ29sZEkZhJen5MmmTEpsrEDdB1FQkJRZHx/Ig0o3CUtQyV3c6EnUMHTZV56WyLP/nRBntdpzh/bR+OCeMUTRFilEnu5Ov6kUhclARZfDQOubU5FIm9SUoQxOi6iiHLLM9WUVWZsRMx8WKQEO/bibi11kdVZaI4FWulJHF/e4wsi3PEYd9lv+fSrJq8duFB+qnrR4WAA8QafSS4KVn6iWSTkRMW5DQQRjRHs01FVU6I7j7pfLDXdegMvM/l/vyyYKfjnEiR2+04n5qIw9AUVmarbB1McPwQSZK4vdHnzFyV/sgvrq0qS5RtDceLsQwFI3cFT5KU9b0xH+fCn1bNJMsESdnUVQaTgFrZ4NJyg72uw3AcoGsKO50Jrh8hS6L2UEs6miKMEDVVZutgzF7PIYrELCNMUgxZEWepOCKIJDRFQlEUTENBlWRcP+LmWo/dnJNgajKdnEdxYaHG0AkZu8IV1vFiokg8Y72R4DSQZiiqMEDa3J8w3bQxdYWSpRHGCUEUc3u9j6GrzDZtxm7E5sGENBWmPbIksbo9ZD6vF70goTcOmG2JmueoF/DBvUPiOClSBoZOyLWzLe5sDnKxsHgWB5Og4JhoqkKt/HQx+WD8YH4VRileED9XP/Vxz3KWZWzsjRk5IWMvpGJpNKomi9NPF/O5fsT67pgMYdx1mi7wKLwgZn1vRJJkbB1MinW3Pw5Z35uQpBlRkiHJEnGScTBwWXQrvHvngO7QJ4gSkkSco5sVk7EvhElCsCQhI/Yn1w/JEEmfnie+RpIl5AxGTsSlMy0O+y6yItOsmvSGHhlgaGoh6BDpUT6//937/Mnbm8y1S7xyfopG1WBjT9TM9bKJZaooskw7n7vXyjqeH1Mp6eiKRBgnHA58oiihZCgkacrhwGd+ElCxdXY7IhlDVWSSJOOHN/eZb5doVAwcPyaMEmaapeIZOTdf4972kDhJWZyufGLi73AS5J+1xPJshaWZSk4ujJlt1Ypn99NGEMYF6V1c44CzT/n6U/zsYutgzGAcULKEoe+TyN5HicnHZ8P1slHww7I04fqdA/qjkFpZ42u/8xLIYg9t1y0sU8PxY2EglUii5juaeQdxMVdQFZnN/RF2PqcHsM1KUesnaUatLBJyAZI45aDn4noRsiIVtcARvnplipEbMpwELE1X2OmM0VQFDRhNIiZeJBLlZElw99K0mKFvHEvWIaOoH44w1y6xuS+4ktONEhM3YqfjFP0FRZHoDX2qJZ25ZomN/TGOG1HPk8GK95SkQMr97QEAFxbr4udIYp0sWxpBnBT1zvKMMFZ0/ZhWzaRW1vjXf3aPIEr4uVfFbPWj+92Cp2jpKq4vEoeWZyvsdx32ui6zLZs3X5rjzmafIEyYbtgneHqeH3N7s8+djQGaKvPNl+dOvP/hJCx+nWWi7/t5iDiO+uAjR/TBZ5oneyVH+3+aif3/eWY/Ezfk+x/u4ocJV840uLD0bH3bzxtHc/XBOKBsa5/ZXnKKp+PPrq8/8mcf7/V5dfnF7uP3hi/erG5+qsyN1R5JIkwqlmZezGfinVsHbB+MaVRM3nx57hGjr2fBKfP6M8Ju1+Gw7zFxQ3Y6jjjEjHwaVZOpusVqNiwI25v7Y3r50GNjb4xtak/cnGxT45ULbTb2Rux1XVw/xvUnLM2UmWpYRdOsWTW5uzUoBut3Ngd85dIUv/HNFfojn9sbfRw3wveFiuncQp0rZ+roqsw4zZAlmSRJkbKUKE6QyPCjmLPzVRRZpmJr/MU7vVxMEOeOGTJxlmEbClmaMtMqcdD3MA2F4SRAViQcT7hgvXy+TcUSQ9yDniB+9kc+XhBzcanBbMvm3VuHxHHKxv6QII9FHbkhzZrJyAlJ0pR6xWCmaVMtGTSqBvWyQW8oRCppLEgoSSrcvLNMKPxXd4cEQcL63pCSpbMwVcbUVV67JOLVbtzvFoVobyQOtYoq8/rlKRwvRpYl2nWblfkqQZjQHQZM/AjPjzm3UGN1Z4gbRFRs/bGpCgd9l7KlU84boP2x/wgp/N72kJETsNtxGE9CplsWYRgzdkMqto6pKyiKVDThnhZTNfEi1nZHgCgWJWnEhcU6UZySZdlzu2uXTI3RUdEnQcl6dBlZ3Rnyw4/2Scn42pXpEwWTIO4Kh5XndTj4WcWRU/+VZyQEnOKni2+/vsD//Fer3Fzr8f/+/Rv8l//pG5/3SzrFFxD3d4bomsKFpToAtzcHnJmtsH/sa54nUnBtd1TsRdsHE87MVjB0lf2e+0yN9CgnblxcapxYc3sjvzi4+6GHF8T86MY+2weCpDCchFz5+hLTDZv7O0PSTDjpHDnsHr2HLEsLAkWSZIRRwsQL0RWJP3xnmzA+cvCJ+Z1fOM+H97r4oSBhhJEQcURxjCpLbB6MCaOEKVlm6AQsTgJUWULTFJy8TqiVDZJEiDmTDKolHdvUuLXWF048SYbjx9TKOhMvRJbF6y3bGo2KzVTdomzpSBJMN0xMXSvSDaI4QVEkBuOA3sjjjStiUKwoMqoq8eG9Dq2axeHAp2zrtDWV/jjg3HwV09CIYiFQSbOMKErYOpgw1yoxdkM+Wu2wMlujVTPwgkQ4nJgqfhBzb3sImXD41VThwn6UdvZJONpLqyWdy2fqANimThSnhaAGHhzUDnoON9d6aIrMdB6tfdxxuGydvKemGja/90uPOhU//PNP9/Lnh6EpeepFi4yM924foKkakBGEgJKdIBsd4cjgTgaO5uJH8eJpAilC2CEpojHaGXoMxiF//u4mtqmhKhK1kp43YhFDzVi47Hy83udXvyZkPEf14U5HiKcUWcb1Y87O105EER9BliUuLNbJMvG6J27E2s6IsqU9M0ljbrrM/Z1R8fuVY6kwT4IfxoRxSvXYejjXLvN7v3LxmX7mZ4nhJCicBl1fNLanG+JMcJSIcopTHIcsS5i6wnTD5t72AFWRkCSJ0SREV2SCKGG2WUbXVG6udZH8xy4Tj4UkSXhBgqLIVEyNOBXPeJIK1yhJhjOzlYJ08ZVL00/9fjNN+zNxmHsSSqbG2BHmEJqqPBIF/7OOn/bn/azQVeHoG8cpSZpifUnWtiQRostPGvJ/EhRZKtzw0jTj3dsHRe12c62LbYo91AtCwiRFlsQTL/Zo4WLnBglxHGEYKkelWLNmkaYpQZQQhomoCyRYnq/wW2+dJUkzgjDhxv0Ofhijq0K03B/7ZJlwobYsFT1PjXC8CEWWUWTYOpjQrBhIssxgHPDhvQ5jNyIjo2wJYubidAVJgg/vdUTyhASHPa9434am5MTDECVff2RJOOFGScTh4IhkmbB5OEaWJGxTozv0xWtRZUxVxgsTbEPD0FIkoD98QDyyDYUoJ1TqqoIfRsSpqJ+WZh9PGkrTlOu3O8U5549+sF706Poj4T59RMI/6Ls0axaeH1GxtacmhL1+eZrXLz99TT3FlwvbB2ORoi1LhLJExTKxdYXl2Srr+2NSJCxTyU2HRFqNikSzYhQE41bNYmFKZeQEdEYuYe7crKlysY7IsoSuKTiuEFyMxh5BLGYOkpQVAqssE26dYZJiaTLkCWBuEDHMSSK6puSmDkKsXSmJxBBhiCRTslQhQM8NktIs5eJSg5fPtx97dgDRUzjse3y83sX3Y4I4KcTgq7sjXr0wxYWlOrIk8f7dTnFmvb3Z59Jy44lnUOE4/eBn9o+bakB+PlEpWxplSyOMhOji/EKNRtVE3huTphmmrtB6jOHSJ2HrYFKIWlx/jG2qz53EeopT/CTwg5i/vrHPcBwQhDG31we8drGNnSc3/DTdm1tVC01Vijr2uAvws6JZNfl7jznff7ze497OgIOBj5RlYq1UJbIswzQUDgceW/sT+uOAfVkQvedyV/qSqfHqRSFgSNNMpKPe72LkYrOppo3jRxwOfDRFIcgS/DBBURR0TaVWEoS0atnAC2KSJGOqbiLLMod9D1VRkGVBam5UdMhE36038kgSSLKMJE5E2lnFEH3kxRq90RHBKuNw5BFHKSMnJI7Fz7YNjfmpEsuzFXRNpTv0yUgJorQQ2dmmysAJcbyIaknDcSNKtiD8ru6O+JWvLT/yWQKYhookibpPU2WmLIswTh9b6xzva6dZhqYJsnYUCzLds84rh5OAjb0HPZOH788bq13euXWAqsi89eo8i8+Z4nIKgam6dSIt43Gz6p8E000by1D58H43N7MUwtIk37ddP0bVJPZ7Lr2RT61k8PVrijCn3Bnm9zH0hp6oMWyt6ImXLE2YOWoK5xZrrG4NcfyIrUMPTZGp2Aa1ssRM00bXZNb3xnh+zMQLMQ0Fz49JEtH7AAnL1NDzWklVFZGcYesiYWPko0ghlqHhBhFjL6Js6cy1SvhRTH8SkOXpG5qtUy1JjNwAP0whTUjy3n6SZJglJV+LVFr5bCNJhFFPbxQQx8Los1bW6Qx8dE3B0GSWZyv4YUySQMnWhIFWjigWwlZFkZBkiSy/oM2KwdJMhVbN5MP73eI6l0yNOBe7l0ztkSSeh1GyNMJIzA8URcJ4DsPGJz3L+z0hGusMPXpDn+mmjRckWIb6VIO823mCxNGvX780fTp3eAh3twZ4ucu+IHKLe7xkqsxM2QTbYt4WJcLENAwT1raHuYBQfI8w7ysMJgGVkoaqyKRZiqnLmLrGfs/N03Ey/CDGNhS8SAiWUhnKJcFT2juc0B35RHEm+ESSRBAlYtnJMnEOcUJ0TWE4CYWoxw0JgoRmzSKKE9x6TLtm0hv79IYB81Nlzi7UuLLSZK5dojv0qOXCpbXdIYNxiCxJdPoew3FIxQ6oV4wi5X7oBMy1S7h+zJ3NQWGCu7o7pJT3Lcq2/sRzysNIkpQ7m4PiPHJ3a8CrF6aemmh+hDgRKfc/Tv8ojBKknBweJ+KZOCJeJ3k6iqEpT3TfP8XPDrpDj51DkeR0NGd6UrqdJAljqDA3Ad7ruBiamie+SXz3g132ux4pGWE/4S+v7/Jf/J1XivtpaaaKIgnxhkzC4dArxLuqInp5GaI32R8FRdKd68dYhvpA2CtLTNVt0jx6Is0y/vRtFy+MkCSZsq2RpiljV+xTtqnzG99cIYqFKfYf/3CTva54z5apEEZJkUplGSquF5GkgATtqkl6dB7IxRTHsd9zaVQM0kz08w77bvHcXL9zCMBMy0ZRZPb6LqamoFVkFImcdyCeY02R2DpwCoOK/b7HxeV6YeRs6kphGgnQqlsn+vn/03fuF0LG/a7Hh/c6SIgU4CTLqFcemDOXTI2vX3tgondzTZj+gOCNCBPpRFwnCX50Y7+4Tt95b5vfeutc8W9LlkZn4J34/U+yNj0PsiwjiBI0RUZR5KeeB+9sDArz6tsbfV6/PP3MyRR/9f5OcS9+/6M92nXrhTClPJqrn+LzxS+9Nsf/41/dOPFnL7qAA/hcxFo/KXYOHGRJzKyzLGU3TzF8kXB/e8iN+11A8O0MXeHr12af+/u80CKOtbU1/qv/6r+i3+9TqVT4p//0n3LhwuMJZ0EQ8Hf/7t/FNE3+1b/6V5/5azsqkKK8uD7auI9IlUcHUeBEosLxf/v073/SkleSJK6sNOkMPAxNYbZV4vDWg005TR8UMF4Ys7k/xg8TNvfGGIZCxjqGJucFjkq9rOMGMbauoqoyAydi5A5p10xsUxziuiNBEpSyjCTJiElRNfHvq2WDqq3Trls0ygadgRhiyLJEoywEFxPXIk5TdFWhUtKZqttFk+bo9QKMnYiDgUuWpOz1PKYaFqahcmm5UQx1DF1htlkiy+DP39uiXTMISxpmHoXsBhFlWxA2tw8mjCYB+32PufycdUQ2BdHYjWIx+K7niRZex2EwFs7FcZRSq+gc9L1CXFK2RBOoWjZ4+XwbL0g4O1/llfMPXG2edO0evv4AnYHL5sGE1a0hmwdjKiWDds1gZbFGxdZRFZmrK032ey6qIjP/FHev6DH310HfFcKODGZbNsvPQJY7wuJ0GVWR8cOYZtV8LEHv+x/uFg3bH3y0x/JcTYh8kpSbqz1BCFbFe3iai9qXAVmWFSKOy6ciji8kJEniv/g7L/Nf/l/+gj97e4tfeWPplIxxikdw5DhxBNcTLrVpCmNXuAs8z7DkaK842gujJMPg0T3kcdjtOGzuj4niFD+MhfjPULi60mS6YTPbsvED4VRnGSr98clC2PEiLi03iNOUIEioVw3mWjbtusVcq8TWwZgMieHYw9RVZlqCYLg8WyFBOrGnhmGCIkv8g1+/xHc/2GVx2ubGWh/HEQ3X3Z6D44XUyyYlU2HiStxe79Gq2bxxZYqJG3Nmtkqcpvnrjplt2lRKOjfXemwdTFicKlMt6ViGQpplnJuvsTxXZapmomkKdzf7vJw74WZklEs6f/bOJrOtEromiChZKpq8siTnn3dKmkKUCHehKBYup5Ikia+RMgaTiIYsY+jC3TiMErpDnzAXq/RHHt+5vkvZEg5EyzNVdEPhzWuzwpWzGK6owh1VV1iarjziRPIw4iTl5loPz4/ZOhCuVqoic+1ci1fOt5hvl+iNAiQJIXx1Q/7snS0RoytB9MOE/8VvXuPKSpPDvlsISJ4VUZzy8ZrYy3VN5spK8zSR68fA9TuHvH+nK8Q3SYKla4ylEC9I0HVZDAOPoSBsS6CqMrIkESWJaODJgpBtaDIZ4h457PtMNSxurw+wDCGequRNO8ePMTThCleydOplgyTL6Pdd1naGbB86OcFSZn6qRMnUTjzXj0N/FHB/Wwi/SpbGhaXaM4s4/vYvnEeRJLYPJ1xdafLGJxxq13dHfPeDHZIkY2GqzLe/uvBUEuVPGw/X9jdWO3znPTEQvXauxVdPa4hTPAZRlIp0nSRDVxWqJZ3dnsvEj3D9iHJDZ+SK/UhVJaL4k2UcaQZBlJKmKTdWu7SrFpYuBvqKJLPQLhOGCUmaoSpSPsjNvlBDwCTJGDoBaZrx+qXp5zYgOMVnAyXvR9xc63LYEb2etd0RK3PP3ld40TByQm5v9ElzR7lLy41P5VlJ0kwQm4Y+SMKtslYWwlxDk9FVGS935i/bCrWSTpSkVGwhJHa8CEWRWZiy2dh3COOU6YZJs9rg7uYQy1D55TeWeO/2IWkqiBTvfHzAOP93U1ULQ1cIooTLZ5q0ayZb+xNaDYv1nRE7nQlZBnGast/3kCQJiYyDgcdUnpR1Z2OArqskSYYsg66rpEmGBNQrDwhIiiIzGPvcuN9DUSSyLOU713dJ0wzLVPnNb61gGsKFc+KGeU2TYekyf/Hedp7SIYaca/sjkiRloV3md37hHHc2BjRrFu26zof3ekRxytn5eT6832H7YEKjavJbP/d438o4Tk/UOW4Q00hTZFkWgvZj8d2dgce/+fO7hGFCvWLwN95cRj+tg0/xjAijlJKlUrENolgYEaQgXKWDmKqtM/ZC0hSqJQU/kEgyIR4TrtMShiZqBFWRidMMWYqZrtcZOD4TP2QwCrAMhUbFYLvjEEYP6oWjXqxlqGQgXPo1hThP0J54IWQSUw2bVlWnZAsDIk2VsUwFVVE4t1BlMAkJwpha2aRVNbi/NWDkhti6Snfo8Y1rcyw+QTQFFIl97989ZGFaGEBlQKtq4noR7985FEIWRRKGC7IQDd7eG+MHItHw6krzE2uCRtXk/GKNkRNSsjTadYv++KSwI4zEs/6bP3+WWllnp+NwcanON36MIdvDZ4DH9ftPcYrPEkGUEOc9wySfrR0lzPy078fLKw1SUroDn9mW/akKSI5Sdqq2hhfGGLqCbapoqsw3XprloO9x0HfpDT1GXpSTvBXadYtzCzWGE9G72Nwfs9cVzsStmskbV2aYb5eYb5X4y/e2+MqlNrc2+4wmEa26gampyIpEvWJjm8IJeeKJxN9GzeSDe11KpoquqWRpyr3tEX1HOIfLUoaa11txAhkSpiFmsP/Jr7/Cv/vuKuNJyOWVBh/d6+IGY2GAk2WoKmSk1HO33w/udugMPcI4oWxplAwNSYbZZontQ4cwSiiZNu3cwEWR5afOm2VJODxvHUwwdZVmxXxirVOxdS4u1dnvuewcTtjvutzdGmAbIiFuumGRZXzyvPKhuNnjr8/1Q/707U0mbgQSBGHCf/Zb137Cu+bLidlWibdem2drf0KtrD8T6fh5sLozZGNvzF9e3yZNMixDCC6Wph+cCbf2J3QHPl4oRBV3N4Z0Bj7reyPCOGVxqowsQ7WkcXGpUfQR62WD+9tD+iMfU1fZOBjniYQR1ZLBufkaSZpy6UyDpeky3g/Wub89RJYFP0H8zARFkinbKu2aTXfoMpjEBVm1Xk7wo4yJK+qE87lBYxQmzLRKhFFCr+MTJgmGriJlGX6U5nVMRtlUccMUVZKplnSurDS5sFDDDWL6I4/1gwmpGxGlGZeXG5i6QhynlGydVs3E8WJKlsrXrsxw9VyL//Ev7hHFKa+22timeOZ2Dies7Y549/YhigQVSydOxPv+Sp6oY5sal5cb9PLPqlrS+f2/WmXshliGwq+9eeapotJz8zV2dIc4SZlp2idSmj8JD8+pjp7loz3nKOXn6P9Pm2tlmUhtP0KSiPTpUxHHSRxfL3/9zSU29idIksSvv3mGqZrN3Y0Bi7MVJk7E2YUqq9sjfvTxPsNJkCdeSBiqTJJlOF4s5l3IBFFMmmZMNcpM3BAlN2VNsxRZE4TmJAM5Az9I+YPvrRHn6X2Vko6uKciSMJwo5aYTSZqy0xH70thNmbghN+4FZFJGqevQqpp0BoJwrufpNTfXelRKWpEY1aqJfWXkhGiqTGfgsdNxGE4C/s1f3KVds5hr21xeaRIEMQtT5UJEGOcEbADy9Cz7OXm9cZoVAg7x+X/ybBaEmPzu1oAsg1bN5PxzEHXX90bsd12QxHktyUVk821hGndr/UFf6uJS4/QZ+RnHk9bZxyNjYerBbFhXZd69tc9gEiLLEvtdB1mWkFJhqtIZerx355AkyaiWdM7Mlrl+54A0FQa9nXHA2s4ESYZvXJ3h2rkWB30X29SYqp98mB5+XTfXenzn+jYA5+YrqKqEFEnIkjCg+3ffWWWcG0W89docux2POBFmiT//6hwf3O8ShgnLs2X2+x4buyMkSeLcfJW7isTuoYMqy/ztXzlPGInk0lrFeCTB6e7mgHvb4lmcblhcWm6i5anHEy8SZs45h6FS0gmiFC+IqNo6nhcVvdRySUcGvDxdpGrrXFhqMhj7xXx9OAmKxJSHDZmOEopA9Dm3D8aE+WxnpmnzS28ssbo9pGRp1Co6nf6DvoXrx0WqIIBtqOz1HLIU5tv2iZQ899jPOfreIDgf9YpBllG8p2bVLExJP22kacbtzT6jidhPLi03npqudbwnm6ZCGKjIzzYDOv7Zkonf10/136d4RqztjB/5s93OmLn2i30TKS9gymWUJEQJeeq8SFx90eB44YnfTx7iDj4rXuhJ0z/+x/+Yv//3/z6/93u/xx/8wR/wj/7RP+Kf//N//tiv/a//6/+ar3zlK3z88cc/ldc2VbfoDn3Kli5cWPJP+uiwfHzznmnYjJwQMjB05ZlcmqYaVuGWl6QpYSTEBMcbotMNi4/X+2RZRq1s0B8FNKpi84sScWDqOwFtxeBg6JPGGbapoKkql5ZqLM1Wkcj48H4PEM219b0JS/khSNcVeqOAKAVVEa4SIqVDx7YMphuiQepHMctz1cId4KVzLeZaJVa3hyiSRL1isDJXFc3UXH3fHfqFwjxOU2xD43DgEMYJnh/hBzF3NnoYWhtZljFCme7A497WkEuLdbYOhNuOoSt50RRSMoSDXxynKIqMqSuFK8h0fj36I5+DvouiyDQqJrIs3Dx6Q4/eKKA78FmYLhXRwTOtEv2xT7Nq4AaicRonSa7uV7i51kVVZS4vNwpy2VTDojfyhVAlv3bDh+LdojiFDPoTnzjNIBOOBZu7Y+aagmh5NHhT8whmEIrsKE5pVs1imFUt6SiyxOHAQ9Nkzi/WCgEHkMexlZ6ZECNJ0lMj4dM0PXGozTJytbVwJDoqpqI4Za/n/kwTPZ4Fu12naECcW6h/3i/nFE/AxaUGv/3WOf7dX97n//Yv3uP/+r//5eeOgT/FzzbOLdS4szEgzFMdjg6/Uw2riOp9Hkw3bFb9oXCKLGlYpgoI4uZe16FVM9FU4V7VGXqkaUa7biFLEut7I4aTkN7IJ4oTLi43cL2YG6s9WlWT6YYFSKiqiANt100O+y4gYVsaizMVRk5YNNwtU+Xa2RayBN2hz73NIZBRsXUMPaFaMrh2tkW9YlC2NJZnK4UL08pcFV2VqVdMLi41eP/OIbPNEj1FoXcUv6qq9Mc+lqESJSkLUxVUReag5/HLX1umPwlwvYgwSvnalRl0XWHncEJv5KPk6SIZGVMNi3rZJElFg7Yz9EiSjO4oIE5S3nxpju2DCXs9FzIJXZU5O1+jUTHZ77tUEp3+RDRHGhUTx4vyPSvLU8lAV0WjKUszJl6Iqkjc2+qzeygIbpah4hsqG/tj1naHIAln0/2+h6bKnJmr8d6dQy4s1tE1hf2uw37fZXG6QqNiCpfTSXiC8PYwDvsenh+TZmk+LNWoVwzevXVAuyoaVUeOIDMtG8cNhYADIKNwBxUOpM8/SD8cuMVeHkYp+12XM1/yvfx5EccpH9zrUC3pVGyN3ijBNlSGkyAnKMpoaiqG+w/xtCVJlHC2qTJ2EtIsQ5YkNF3C1FXCOMHQVHRNDDYqJQM1TnHz6PNK2SBKM8qZECFP1W2WZisEYcL124ekWYbjRcWQozPwqC0YtB4SoT1cc8Z5FHuSpMiK9OwxATl++61zpGnKrY0+H9w95OJy44nioKPmcppm3FrvMdWweOlc6wSZ1vUjhpMQy1Cf+jx9FmhUTHY1hyBKcscIt3C2uXG/y8tnm6eEz1M8gqPzvaJIDCchJVMhiRMMzWTiRqxu90nyYYbvP3vzR0Kc33rDgCjMKJc0MsT5/fxSA9vQGEwC2jWLmYaNH4rBx/M8OxM3ZHVHkMU/zcjqsRsWrw2gN/ZZmH4xY3R/FiEMOKSCyH/Qc5lt2j+zJg3bB5OizzGchJ9Yr4EYkh2Rh8u5kDLNMqYaNp4fMXYjrGPJEWTQqBiEUe6oljetjxznJCRGjjAXmW2UaNZMDE040g8mAbahomsina5q65xbqKGpCm/fPGCqbhJEQqg1cgMkSSZJU8ZewMJ0mSgWYs+Xz7d58yXh+PZdZZudwwlpljLfLjMYi5pakiRsQz3h+p/mJh5koKmQSjKSJFGxH5yZB2Ofzf2JGN5KEt97f7/490GYsLE35hdfXwSgWTX48H4XCWGvF0YJqiKTJBl3twaFAYwbxFxaavDtry4Bguhk6mIweDjwsA2VRtWkWtK5fu+Q6bogQVxeqhd7sa6rJ84vr5xv0xl4uG5I2dK5vNwgzt/fYCwE2+LXAXe3h1w7+3hC3JHAW9fkpzrOgqi34iQtznin+NnEVMPiBx/uUrJVokRn4gnnSUmCLA0FeSoTYigpJ/hWSjr9sc+dzQFL05XcadbB9WPOL9YwdZWxFwojJkPDbGuE4REh65j9NkLcmaYprh/TqMqMvYhL7RKDSched4If5OZPfsT5l2ZEGrUkYRkKK3Nt4kSkcU41hGPuxBVp1Rv7Y8IwpWLJpCkoqlTUvoNxwG5HEIPnp8vFn083bL7x8hzXbx+SJCArEu26lSd2PiD8HZ2F+pOgSIIOwoT9nvtEB9LjaNWsE89f1daxTFXMKKQHgpKqrfM3v/V4odfjkGUZnYFPkqa0ahaaKjPdsBlOArIMdE2m8VM+g5zixcDROfWzSGqp2Dpz7RJ3twYYuophKMKBURLzx582rq48H2HcD2PubQ5RFImF6TITN3rkTDKcBBiqQqVkMHZCZFmmWta5dqYJiDlXxdYfkIEzQRRbaJdRVRk/iPmLd7aRZJFC6IcJc22bva7L0AmKOdsrF6bY7UwYOiFlU4gJbEPl7EKdZtVka39Md+hSLxtUyyZjJ2Cv66CpMu2aRX8cMHIDbF3DSaFkGUSJeE2ynGEZKrk5MWt7Y75+dZalmTKOF3Jnc8DYjYAMXVPIkGhULCFujdNCjCYhDITmWiXiJOX2eh9LFyK+sq1TtjVcX/Q1jzvfru+OGEwClmcqNKom63tjhpMINSd6/PHbm0IwwuNrHUNXGLlhnjyQsnvoMNWwaFRMOgOfr139ZOfSWtnA0ISo5fhaDOAGiRBwgJiPDv0nfJdTPAtW5mqszH36KTx+EHPY9/CDCM+LSbIUWZa4vzVEVRQMTUHPU74yMhRZEr3Q1Q7L0xWGTkAQJlRtnZKpMd2wixqhO/T46H6Xes5pGHsiIeyoLnADsTa0GxZvXpulN/SwDI1zC3X2uw6uF+VCcIUgSjF0hWbNRFEozCYlSaQQppnox7p+zOruEJBo1UyCIKETe1iGii2L9BukjHbNEmLYNMO2VZEClMJsu8wbV6ZF4rYi0R8HJLFIsY7jjM7AY2W+xly7xJ2NgUj3qxpcXG5gGAp/+s5Wkby+uTfho/tdLiwJnkMUJ0zcEAnBY4jijLNztSI1HcQzVSsbuH7E9z7Y5XDgYuoqXpBw436Xb706/8RrqTzF1f2TUK88/lmeqlsc9j2qZR3Xj4UAWZVp1p7MoJckiZmGzX5PJCo0q+ZzCUq+LJhp2oUr//JsjV97c0Wsx2nG+3cOGU0CyqaGpatYusLIFUky4hwAizMV0iRlp+vi+kneexDnW0mSGU4Cce+EEbqmUikpQrCoSChkZBmM3YA0SVA1FVnO13RdRkZwR84v1vnKpWlWd4Zcv3PI9z7YEeTnSLjsx6k4x2dDj3rOw0nijME4oF42GDsRH97r8NUrM6iKLMxiqyYbeyP2ey6yRHHW6Y8DsixD11SunW3QGwV0hh5V22CmYaNp4h6yTHGuel4YmkK9YjAYB8Xn/yzYzBMYQcziZlvRUxOqjhBGiRBwAGSip/HGlQf76iN9KSeg8QI4zp/ix0ezZrLbdYhjsc9OP+Ue1FSF6aZd9JSiJGHiiTlummY5d9EjSDN0SebMbIW7G33GXsTSdJkf3dxHV0Wi1O2tAVIm06qZIuU7ilmYLjPVsJEkmGuX+PB+l+E4YLphnTCw9P2Ytz/eL2Z7d7eGqLJEydBAkojSjN5QGCUHocJ3ru/SqlmEUUIQxkzVTc7N14iTVMxPS7o400uiBkizDDNP2PrLd3b49utLguOW8Uif4HDgFs/iaCLEjUf9vVbNLBIc0kzs2ZahYuoKiiyxk6eBxEkmepKqWKsATEOY7Bw/8zer5hONPM8v1PjhzX2yNGN+qkwcJ4VwIU5SFqbKRQKw60dsHzg4njCovrhUZ6fjQCZ+7tDxCYOEJEvx/Jh6RWcwFsThi48RZUSRSD6t2BrbPbdYQ3ojP//zTz9dezgJGE3Ea0qSjO3DCQtT4nxXsbWi5jnCVN3i9saAjIyV2epzmXhdXGrw7q0DQPTUj+YUp/jp4Hl6319EGOqjz6ypxI/5yhcM2YsogIiK9TpLEUZDLxjOzNe4frcjRIqa8mMl0sILLOLodrvcuHGDf/bP/hkAv/Ebv8E/+Sf/hK2tLRYXF0987Y9+9CPW1tb4z//z//ynJuIo2zovn2/RG/lARhCl1MsmSzNlZpqlE+TfRtXklfNtgjChbGtFw+xxSNKM3c5EuMot1AjChM29EXtdl72uy8WlOo28QAhj4SjRHfoMJuKAsdtRmGvbnJmt0jGEMMHQVYZjMWRIMpUkzVicqTA/VcoHpRJBlDLxIrJEKOenGhZpItTfqixDJhS9kiSh5htrGMV8eL+DrolCZnmmwsvnWlxYavDe7YNi2GHpKsszFaabNrIk8eG9bkEcLdsar14Qn80Pb8Q4bkQQphwOXcIo4fsf/f/Z+88Yy9I0vxP7HW+ud+Fd+ixvunvaTM/0cDij4RiSEkGD5QoUsIKk/bDUAtJCAEF94QIkQEoLLCCBFL8sVg5crsghd8jhcLzr7pn2XSar0keGNzeuP97qw3viZkSaqsysqq7K7vgDja6MvHnjmnPe93mf52/2Ob9QYzgJaVQN0pSpuKU/EeTVzf0JrarJ1sGEdsNkebZSOGKXsU2dK2tC/bnfc9ncnzByI6Si4VAqotazXLgeHw+NZVkGKcXUFWbrNi+dazPbsumPff7kBzskac6tzQG1isFcs8Rh35sOlSvH18YoYPNgzGHf57Dvc2GpNt3cOg0bXVXY2B8jIVErG+iaPCVEpFnOe+v96dDc8WNkiWlk5H7P5eULbfF6s7w4xCpoioizlCWJ9HiQJ/Gxuq3KssyrF9u8desIEI7Dx4X6g44AZwYBTFM4LizWzppSn3H8nV9+gW9f2+eg7/H/+g/v85//tVc/7Zd0hs8QamWDX/uZNQ4HPo2K+ZGHsZ2GRckS7vmfuzqLFyQc9F0G45DBOOSg5/HyhRbre2Ph3Avc2Rky07C5tTUoSF5RMbTM2Tp0qNgiDeSl823qZYPu0J8S+l+50KFeMZht2Zi6iqmrlC1NuPcXYsD13RHdwtFu5ApxZMnUmW3ZXFltUC0aoT/7xhI7XQeAxU6ZLMv47T/fYOJGXLt7RH8cYuoKbpAgAVmekmXC4dfzY+KCpKUoMrap8itfWeOg55FkKf1RyEHfww0StKIJsNgp06qZtKsWYZLx9bd2SNOciRPSm4jIbs+PaVR0gihm4oUosmh0VssGavF76mWzSB1QSXORatAb5VTKOrYuYkZ1TTSxDgYpYydip+uIZmnZpD8JubRc52joM9O00DSFzI+R4dReq0oSWS4I6JqmoKvK1JEKHt4rH8TJv5ck4UYcRAn9ccBW10VTJBY6ZWplIegI45TZpj1tcj+qkfM0kB+oGc7cfp4esixihcM0n5IyozjDDVPSJBWDlceIINIMiDOUikQqOAloqkS1pPOVV2f53vUelq4yckNAQpFFQ9LxYwxDxdJVZus2M02LVy62kZCwTJUbGwN6o2AqXNI1hZXZCqah8srF1ilC4WZx9oD7NWecZvhhImKPDRWe4bL44x/ssHMo1o67u2N+9SvnUB9RG2mqLIhThZBk78jFNNRp/KwfCtHacUNybaF6ihTwSUNTZV660MLxYnRV4u7ueJpQJ0nAZyg15AyfHdTKBvWywUzdxvVitg4dZEni9vaQKMlIirUhimIkWULOc8jhwzzgckSzPE4ywjRltVOlUxf3+PmFGoosTBUWOmU0Rebdu72nuneCKOG3/uze9Fzan4T81DO4Vz8KD8ZmP7j/nOHThyJJTNva0o93TfDg0v1h79XxY95f702bz7J0f2/fOpgwdCL8QOzNtbJGrawjFTWiRM7ES0iTiOTtky76Kft9nzTLCKIxF1Qh0pBliSwTfSpVyojijK1DB326d2f0x+JeDqOUmYaFoope3sgV5PBjd8vLa032ex62qbK57xDGQjA6mgS8eaWD4ydUbIPNg/F90fZcFcvU8IIEXZfYO/LIMrHnHacTg6hbj4bedGAqSVKxp4vHrsxVuLzSQFMFecT1Y4IoRZHgcHg/abhkabRqJmmWY2jKlJgBsNApUy0bpGlGf+zx1u2j+wNbN+TqqiAhbuyN+ZWvrE3NVk6eX2xT5a1bXSZeRKNscGm5TpaL7zxKUu7tjqe/73H92yTNuHa3NyWje0HyWHLUxt54SlY6PuM9j45ZZ/hwRHFKECW4fiKueySyPCOMhMFP2dJxfY+yrU8TqkeTAD9IcNyIMEqRZYk8F0Puw77PKxfbzLdLVCyd8p4ga48mIbe3BqiqTBRnp7TVcQqylDHxYpoVhd0jl7ETMfHEuVWWQNcVypYgSkRRim2q0yF6EArX+8O+T38csDxbQS7OpMdQi/uqO/D5zvv79EcBkiRxYanG567OTnufr1xoM9e08cNEmEUVM4zD4n6QJImLS1UMXaVRMRgU5Cl4uEZ4UiiKzItrTSZejK7Jz2zOcm9vPCV8HA480WOpGLxyoU3wBPOdM/xkwvVj3jtRG1xcrj9VYu+HQZYlvvDSHGvzVXJyGlVzml5jfYoi2zwXqWNeIFLdHyWCjZOMP/jOFv2xMGBLs4yXL7SRJGl6JumPA25vDQHhOvvGpTaOH+NHKa4fCzfvJCNOUi4u1+nULY5GPiVTQ5YlBuOA99f73N0dMnZjBuMAw1BY3xlTLel86929ImU3Y6FTwjZ13rwygyRJ5ORE0fGs1eeg7yFJcNgPyLIBXpjgeDGyLJGkOVLRA5QVMd9sVSqM/ZD13TFaLohiOTn9ccD3bxwKoc2ORcnURfKiItGsmWSZEN8pskRv5CPJTWaaNmGcEoQJd3ZGqOqEPM8JoxRVFbPAw77HTNPCNjQkSaQaAbx/r8f33hckp/fWe/zyl9cgh6OhNzW7U2QJTvS0T65lXhDz3nqfw77HcBIyUxD5pKIB9KTHtZM9kwevz1pJZ75TYq/rIgEXlj9+AcIZPjqkYh9WVIVqSSNKM8ZuhK4pXL/Xp1O3uLTSoFkzCaIUL4iF274m8813HKolDVWWWJ0TRk77PY/u0Kda0hmMQ46mtX8uzJQQiQzHNcnyXJlaSayfWtG/HLsRWZ4xGMlMvJiMnCTJkZDQFJl23WZ1PhFpNZaGpilEcT5NNF7fG5GlwhRRQuL8Qg3LUukXxLQ8y8kyUStpmiCjKrKMDNiGgiRJDCcB7673GU58Ng4mGKqKrkk0qga/9tPnuLExQFWEoMXxYzYPJkgHEk4g6jxFkQXBvjuZmutoqkLF1pl4EUcjn1rZYH13hONHp0w9j+/P3kjMexoVA9vUUJ5y5hwnKbtHLnkOc8Wc6HF43L1sm4LX4QYxb14RAoOypX2oWH11vlqsffl0znSG01iaqYhE7eIzOp433doccHd3xO2tAV6QYFsaQSjq9HbDwjJVDF2lXbPoj32CICHPcwR/KUeRhThj4obUysf3lhBme4GMhEgBB8iTjFESoWkpUSzEqZ2GhSJLDCehkJHnOVdXm2iKjCLLbB6MubcrErzHboSERMnSMHWVuZbNvd0RYZgSmxlbBxOQwDI1XjrXQpYlbmz0cbwY21QFkb1lc9j3mHhCCO+FMeu7I2olMd+0DJXPXZ0hjNNT881nwaXlOmNXJBk8Kdn5WednkthUpzr8D3uesz7pjz8MTeGVC21cP8Y0lA9ckwEuLt2/XsduxJ3tEVEs0i1NQ4gbB2OfRsVi7Cds7Aoj57s7Y7E2FP19CSFcOO5jHvZlXr7QxvFiTF1hr+eyfyRSnMI44UU3mnLYVFVcq8fzMMtQqVgqR+MIVZWZb5XoDv37ZF3y6VyhJ0nomowkib1LkaFeMkgTUV8PJgF7XSHMcIEsH3F+oT59/3Ot03OMZs1CVxUh/NAVLq80STNh9hxGCX6YEITpfX6WJPo2pq7SHXpMXCEsHowDojifPi56goT0k2hUTdYWqiRJxkzDIknFTEWSoFo6fTaKE1H765qMLIl15+XzpljLbI3/7t9fE+tkDrs1l//NX32Z3jhE1xRmmzaDScBgHGKbKq4vxJ0A7945Ym2+emov/qTWkAfXKs+Pef9eX6xtElxdbZ7a56NEiG7zXBiRP01S/EvnW8w0LLxApDE9ap58hk8GcfLkve/PKrTSw9fZx8mb/bSQPegO+hzgZFpnzpOnn32WoMoSa3NVhoURkak/m1HXcyvi2NvbY2ZmBrWIuJAkifn5efb29k6JODzP4x/9o3/EP/tn/4x79+595N+b5zme5z3x48MgIEsTNBnIwfUCqOt43sPumboCUZjyQZqi9d0x/bEYWsiyRLNqEMfiucZexNFggm2q9CchWwcONVtj4Ag37TCIQIKxU4YcWjWVC4tlRm6IqYnUC9ePaNcsSrrE3a0+nbpJmqYMjx1epJSJG9EbuozdkJqtEdcEERQpx9AVekMfVYGJozJ2ApY6JfwgwvMj1uZs+gOFW5s9NveHxImIAh5NXKIoZLfrst/3adeE+p484fx8hbu7Y2YbJmGYsD/w0FWZJE0Jo5S7O0PkYvC11CnTG3k0KgauG7E/cInijDAUzZl3bh+yMltBU0DXVM7NW8RRyNvbPe7ujrF0FVtXMFTIslgMwQyJkiEThtCp62gqLM2UOOj75FlCo6IzGDuQx7hBTBiKpBA/FIfgkiHzR9/rM5x4vFIUEtuHDttdB8dPps7Ge90RliYW1PmGjh8EvHGpxbvrPfIMzi2UubhQwvNEbOydzR7bXaeInDewDY1KSRx6wxB6gzF3tses740Jo5TzC1XIZfa7I5pVk+9d74uG+PkmcRQQf4xitgsLJRZbBlkuBuDH90xJzzG1fOpGWS/JT3U//TjivXVxQLq61vyUX8kZPgymofJ3/8br/J//+Tf5zW+s8+WX53ntcufTflln+AzBNnXW5j+eBnOcZOx23SkBv123uLXVZ7frkmY5jYqBHyas7wz53vVDgjChXjF58+oMQShSI2olfUreTNKMiRfhBTGzTZvLKw2xdxfI8vyhNAXb1E5FDHcHHrtdF8ePyAvHnGpJ5+Ji7SHRyrFrBMDEi5m4YpPRVKUgn4CmSNMBq23qKLKMVDh5rs5VeePKDACmrk5f2+pcxvbBpKhZEmRZOHXXSga2pZH6IY4bESUpgyIK1fWiolk8oWprwvnhyEHO4d7uiJKl06oamLrCdtdjOJHZOZoQxRmyhPg9SKRJxpET4UdCfKIogkAThClKTSLJMsJIOHqWbZ3PNW1+5ztb+GHC8kyZldkyhq7wxVfm8YKEJM3EAGOmTG/oiwZ0w/rQIUWnbvHta3tsHThUbZ2KpTH2Y0F6U2S8MOb21oi5ts3KbAXb1PhLX17j9uYQWc6ZBAm/+fW7rC3UeOn80zkjghC5jt2IkRNOnR7P8GTY77l0Bx5DJ6Jsaby/3iMIU8olld0jd9qs/DCkOYwnETlMU/mCKGXkpFRtlaNhiKbKXF2tI8syYZQy37E5v1C/n1xTuPLMtYRTJ3Bf7CML19paRRAXHxyynSRQRbEQbzheRJykpJlw23mWA/Z+4W4DMHEjHD+i/gg3qZ96cZbf/+62EJ7PCMHS8MRrGrvRqVS4Y3LBJ4XdI2faGF2dqyLLEqoiT8kpX3p5nu9cO2DiRyzPlNncH7M2Xz0jdp3hFNIs5+bmgLu7Qw4HvnDmlyR6o6AYNKhkacrYjUme8vZKc9FErZQ0BuOA+U6JhWYJP0xYmikjAX/y/W2SNKNZNTB0QWh8knvnaOCfWrt2CxL0xwHb1FjolNjveWiqzLmFs9SnzxrOLda4sz2crsdP45T1vGFlrsrtrSFhnD5RvTYu3NhB9BF3+x5zTVEz3dke0h0KIaKhiyRcJxCO9zMNk95IONP6QYaERJIIZ1OZwkhFkQuRgk/JMtAU4Y53d3eMHyY0qgaGKtOfBGiqTLVwYk7SnFbVQCJn99ChUtJpVg1kWbjnp1nGf/cb7zIYh1RL2rRGB3E2sUyNsm1QMjWCKGZUmMWsLdQYOiFjN6KmG5QslZ1DQW48GWt/7FR/c3OAqsh89fUFvnVtX6xFrQqff2GOb76zi64q1Cs61ZJBtSgzgzhl82BC2dT5ta+u8f69IWGUcGW1SfuEy1oQJex2HZHKN/TRVZkoyVAViYl3v+k1nIR4QTJ1f3P8++eVkRNiGxq2IdbCm1tDDvs+iiKGg6NJkYbSKnFx6dHEQtePTw0fhpPwsYOskzVMGKf4YfKQK93TwvEitg4cJJnpeeAMnx56I5/9nseNDdGHHTnh9Cy43/OI4pxWw2A4iQgi0b8WA2xBKoyTbJp6pygyuioTF+foz784w0zD4ubWgIkbUbY1FEVioVMhyyeCeJEJAmSSFjNzSbiapVleXKspuqKQZBmaptCsWdQrBn6YsttzqVg6Cx0FXVPojwOqks5gEjJwQtp1i7lWie3DCW4Q89qlDkvFtT6YBNPo+DzPGTsRm/tjgki8v7X5Kp2izuiPA7YOJkiAqStExbygXbeRZYmSqbL79i5Hw4BOw/pAB9IPg1LU6WmWs747wgsSWjWTudb9c22SZmzsidfaqT/8+wbj+/dtEArHUNsUn3136LHTzZhr2c+lE+EZPjmM3Pu1AYj1/+MUcYAg4M+d6NF8GNHrcODRHfjTe1JVhGHC1sGEiRdTLenivHCCyOCHCZv7Y7IMFmfKH1oT7R25bBdmDUcjnxfPtURCyAk4fjQ1ofPDhMOBV4g2remZpD8KOByIZFhTUxhMQpSC7Lh75JJnxw7ZEvWywUHfZ+xFGLoiBB5xwvWNAbIk4YUxFUtD1WS8ICHLEemHRS11Z1vnZ95YolExeOtOD0WSeOViSxjp9T3COBFJSrJEfxyRZzl6QTwizzk3X6U7CtjruTRKBpWSRm8SUrUNojghR6JZNWnXizUih70jj/mmINGWLB0vFLVbvaILczddxQ9i9nsO3UFAq2bSqpmCOK/K1Eo6kyBm4kUstEroqjLd/49rjWPTjCTN6I0i/uydPV5Ya6LIEjtdB9NQ+drrixwMhEhjZa56qtY57rU0KgZ7Rw739kaszlVpVk1kRUJTJP7DN9fRVYWfenmO6gfUMyd7JiehqQp/6Ytr3NwYoKoSLzwm8ewMny4MTWFlrsL2ocOF5Tq7XYcwTGnXTMI4xQsTDE0hiBLWFips7k6IVHG/pUX/XDI07myPSDKR1DHbsmlWLUaOSO7ujXwqtoYsydimjqFlOH5EbxTwe9/e5G/94mX644D9nkt/5HNYmFWVCqGHG0SYpjpNEFYViblmiYkf0aiazLct3rrZYzAJMTSFPBM9zjDO0FSZ7shl57ZLGGWsLlSYqds4vqjFWpbFjXzA0dBHkSWW56o4Xsz+wCUu3LVlSSKKY0Bhv+/x3r0+hiYTxilxIgyskjSjahuocs7NvjCubFZNdrsuh4OA5Vmx/l5daxCEKf1JyGJHrPGDSchxhthB3+PGxoDhJGCxXWY4EcT2lbkqr15sP9V3e3NziFvUb6NJyKuX2h9IZnvcvaxryjP1Bz4JR/AfF+z3XHqjANtUWZmriv34YCJmVqMAmZyN/TGDcUjF0tAVGVkWBOooFo72w7HPTtfFDWPSLEeRFSQSskwQqVVZJssz4ljM3iZyjKKKNN8sAyRBpE5TCoK2MIEVBmbiHpdlWaSOtTXCOBXXfZSSpDl+mEyFSc2KSU5OpaTz2uUZvEAY2vRGPpIErhvzgxsHNComuipTr4g9L0lEgqXvi9ctzK1Eck+lEMMfJ53binxqvgmiZ7C5L+aLC+3yhyasSpL01IZ9aws17mwNidOMhXbpkWJaL4inxhhLs5VC6CSzNl9l62CCLEmcXzzdb1iZFWnqYZzSaVgfe6rbGT6b0NRHr7OPguPH7HbdaS/o8kqD9d0RtqFRtoUw0TYFsbTbF3tWkmaUTI08y6az/3rZQJIzAi9BKlwKT673m/tj9noufphQsXTeu3vE//h7fTw/5gsvzfILX1jmN/90HYCfeXMRU1fZ67kYmkKjqrPT9RiMA8qWMInc7Yq00U7dZDgJ8cOUNMup2DolSyPNxNozckJURSIuRB2qLAwaRTKpesLMRuDiQpX/8Q9ukeY5v/j5ZZH2td5DV2W+8MIss80S/XGAZaiszVfZ3J8UM0mDnJydQ4cozphtWciKNE3UURWJ71zb4507PWxL41d/epU7OxP2ug7NqsmbV2fZPXKmvYbBRBhBgpjnLnZsukP/kff50BHpgGVL7If9cUCaCaFLp2FxNPAZFilEsiQRp/m03+h4ItXvWAi2d3R/TpPnYs82dIU4Ef2KJ0kIehbUygaaKrO+O6JkaazOVhifSNobOeGpM+TQCe8nLgcJcZI9VQ3R+RRSJ88g9rHeyGcwEXwEXXv2dLdPC9KjtA7S859wtX34/PFvZfX0eUN7DpUMI0eYGhzP1AeT8Jn6ws/hW7+PBw+O+SMURf/kn/wT/vbf/tvMzs5+LCKOOI55//33n/jxXpiyeRgK1zYJgrpOOHr2j339QCg9jzEuK/SdhDDO6Y5jqpbCZjdCUyTGrohh11WZIMnx3TFhDJFrYhsyc02Niy2VtJ6yvZsRJTlemOP7LtdubRDGOZvbcDSIkCWJkZvw7i1RUDTLKpac4fs+Sp4xU1WwdAknSHEnQ4IYZusqgZ+wvecRxjklS+bt9xyu35S4se1xMEzIgcHI4e33QrJMODIcDGMODZlaSaVkyuDrqLJEx4qRWwmGBHf2EgI/xvczVGS8JEcmwjFiaiWF4cAhDGLyJCaKcuIkJ0vh4OAQJR5RMmXm6hr37h5w7zAkjDJGboobpszWNRQZ7JJBOBpwpwfuKETPQZehbCjMmjHtuZzDYcx4NOb6SKRO1MsyvV4glMd+jJIrvH93gipL3LwTcmd9l6tLJkM3JYwzjsYJR2UV25AJatqpa0MDZi2YffH4Z/702hs6Cd95d0iYZPhBRslSWOkYxEnOXFNDkSUOD7a5uxeSpjlDL2Uw7DFf16lYCrejjKiIn337vT5O33wiFwKR6iGK048CC8hcuHVz7yM9z48D3rktrp2Xn4FIe4YfPV673OGXv7zGb/3ZPf7b/+H7/N/+q7/wkQkWZ/jxRJKKNfZJE3aOnTaPD6Ybe+MizQvu7o6EQHMcTkkQUZIiSRLffm+fkRMTxim9ccBrlztUyzqmpjLTFBHfl5Yb7HSdKcnyaBRg6AqKct8N41GH9SjJiKL7JKLBRPx+P0yRZLi0UkdXFeL08YruLMuLxoBMGAkHCeE2bDByQhplg4kXk6QpQZSSZzlvXp1hsVNh7IYPRRRLQKWks9AWIpH1XeEkMhj7WJbGT70wy7/9wzuEcUqSQZrn2KYgrs02SnhhjKbIVEsW67uiqX3sBrU2X+XuzogkTdk5dIjjjFpFpzf0adcMBhPhIKqqMhM3Khz6Ukq2hqoqdGomL55vsbk3wTY0/Djl9SszrM0J0ulCx2ambqOqCl4gHPq8IEaVZV6+2J6mCBwjTTOyPH+IQH93ZyhSRIomxwvnWyzPVri7I9yMdruuaAyNA8Iw5bXLHeZaJeZaJb759i7dvhDvDG4cUq8YpwQ3TwJZlp45AvAnGSMnZHN/wn5fuN06fszSTAVwuLXVf2IBB4j7IIwykMV/S4h7eXt/xMRPadZMqiVdJPfNV8kyUFWJL7w4h+vHHPQ98gw29ydYhkrJ1OiPAkqWxvnFGldWG1iGiqLIj6wPS6Y2fb2yLFy5dFVhtiCniiPa0zs91MsmvZG4PnVdwX6MW2i7bvPXf/4Sb93qTlNsSifIiSVTPeVa9Uk1I0G48GwfiGao68eoysONqnMLNToNm/fu9gCEGzFw4YF7/gw/uYiTjO2DMbtHLo6X0B+J82S9YiDD1EFo5D5sBPGkSFJBGq2XDGxdY65VwrI0KrbGH3xvG3Lhrr3X83izEFHapkoUCzeqxw3t6xUDRRFpQpLEqQFiFKePXUeeFEszlWKtPMNnEdWSPhXd/rjDMlReeQoCzEnSvCQJMuExwjidRkRHccpO1+HFc+K5tw7GjJ2ASZCQxILMfZwCkhXOzVmaI8k5JVOnXTSCtw8d6kWijxcII5d62UCSRE3fqIrX4wTC8V6k7ylTIYMkwfbhmL0jD0kSggdFAn1GhaxIyb00g1oIFX//u5t4gRBovHP7iJ/7/BKXlhuEccq1u73pGWjk3BdOiOQNhSurwsAiJ+c/+8svk6Y5UZLyh9/bQlUkJEniYCBxfrFOluZkeU6nbrPYEWuBpqr81Z+9QJZl0zo5KpL87myPpqQjWVaKNUmsQfWyLpyvcyhbKpoi0R/5VEsaNzcGU7db14+xTFWck/Kca3cH09/jBQf8z7928UO/f9NQpwkp4np4fB/YttRpGrGiSBjP6NJ0jCzLubE5mJ7zboYDXr/8k3GffhbhF07p5MJ8YL/nYagKeZYxcgM6DZswTNnvuiBJxGmKhEilzLL7QqA4zZEQZ8Q4FqnWmqZgGRrfurbP2IloVHVyJObbJaJ4woXFGvNtm7Kls9fzOOgJ4rEsS8W+Lu7JOMmolvXCubHEK+fb5JkY+OdZjhck7Pdclmcr1Mo6O12XLMupWDphHFMr6dTPt1Bk+dQ5sWRpmJpCdOzmKR8nSOfC0TMXSQRBmHBjQxjcKLJMrazz6qXThilHowDL0FieFWtZfxQ8tZDjwfP19uFkmqbh+jGWoU7rmK2DyTS19HhNOEkqtC2VcbG+qYo87eOs746nZOk7OyNKpjZ1JD3DGUoPCOo+aG84xuP6Qh8HHD+epku5fjwlER30vWnypuvHGJpy6n67tTUgCMV9fXNzwBuXOx+YIDX2IuJEkKLJxXM+KOKwitRQN4jxwlgkECYZB32PtULI7Qbx9P66tTnAtjTaNZFKNNM0AYmDvoehi5SvLM2YbZSIk5SxGxEmCWMnRNdUDE1hebbC1ZUG337/gJKpst9zhZBBV4njlG/8YJuF2TK2rhLFCd+/ccjnr84hgXCSLdCpW6RF+kaW5Vi6Sq1i8sL5NlGU8v5Gn/XdEXGcoKoyK3MN1hZqrM5V6I+E2C3L8yIZQMYPExRFuO5KiPNWydSpVwzeuiUSxppVkzBK0DRl2htM0py1OdH/UVQJ07h/zRzXpfWKwX7PozcKiKbpHH3COJ0K2e7tT3j9UpsoztA1mZEb0SjMNY6fZ+RGWIZGu27RqJqcW6xiaAr/05+IfqyMRJxk/NKXVknS7LHnyeP67UG33pmm/ZHEemf4+PGoOcdxr/nzL8wynAT85jfWieKUw4E/7cMpioShqjSqBrtHHqoiocgyhq6iKjIDJ2TkCOHSxI9Y7Ii0st7QJykSrFVF5tx8BT9I+f7NAzRFzBj+1e/f5le+co44EeKGLM9JkoyJl1Ar6yy0S3hBjKGppGlKuy7MjnIkVEVi7EWszlVJ0gzHiwAVSUrRFAldVdjYFwZPSLC1N+HcXJV6xWBtocph3+No5E/NWbYOxiIlJ0qQyanaBm5BMA/jhDjOuHGvj2VqlEzRj5l4Ec2qScnSWN8NqNg6fpDgBQk7XQddV1ibFwnJb1xeIMtz3rrVvT/LKfaQsRuxsTcmy0QaChK8frnD0mx5Oj95UuR5Pj1LgTi3inv4yfegPBdJsI+6t8/w7BhOwinh3/VjFFliMA6L5MyM7cMJWwdj3GJPGXsxd3ZHXFlusNipcG5BpjcO2D6Y4IcRaZohSzK6LhHG4prPMnG9+1FKluYoijAtK6k6ii3mWYpM0aOQsHQVy1DF3EGWUWTQNZkoTtA1qVgPXLYOJ+x0HdIsZ65pkWaw0C4TJSkL7TIvnGvSqpl88+09NMUljHL6o4CdwwmzrTKOFxOEKZdX6wwnEZapMd8q88WX5gtjWHcqSAUhMrOtx9dYJ3sGt7eHvHap/chrPE5En/NZTJjKlvahBpA3NgZT44ebGwPeuNJBkiRmGvZjDXXMp+xLneH5wXE/6qOYfh0bRB3vE7eiIV96eZ4vvTwPwLff25vyC9wgQVNlNFWZXv9BUZehgBfGxEXvAMALxdn3uHYbjAIG46AwOUz43W/fE6YROfz2n2/wtTcX+Ru/eBkQ80O5EENJsoSlK7Rr90XnAyegVOyP4s8hYZiR5iLl4/xijWbVRJLANlRubg7ETFCChU7p1NygWj7N1/nz9w7EGT+HH9zosnfkQZEk+vW3dvmVnz7H0kx5umddWW1Ma9etg8k0JSPPJRpVk6otvqecnD/+4Q6en6BpEv/P3/RoVkV/djAJGbkh9YpJmuY4XnSKVydMN8rMt8un1pjjOUrZ0jg48R7642D6nbp+LATthVA/SbNTaRpukJway4o+xf19faFTZqFTPtVP/SA87Z5+vG4GoRBiHH833gmDH3j4HFwytem6rGvyU98HaZY/8Xs6w8eLg8KMTpZPmz8+LzClh19zvfb8izjKz2EijSopnFxmNPX566Xapkqe56RFHf1gD/BJ8fy98wLz8/Ps7++TJAmqKj6M/f195ufnTz3ue9/7Hn/yJ3/CP/2n/5QwDBmNRvzqr/4qv/mbv/lMv1fTNC5e/PCB3THSNCO7eTRtXLz5QgfrIziglZsOh8WAQVNlLq/U+OHNI7a7LlUpZmWmzMDvo2kykhoxcEJKZZOaItEq0i0W54Sie75ts9AukaQZg2SfjQOHIIiJ0wzF1FhsC8Li3vohaZ4SxxlJrlKyNVrtJpUk5Z3bA/I8Z3GmhKEqlCLhQqPHGZ1OmfOrGkMnZLfrkeU5N/ZicnLSTCeTZCxdoVkxWFpaIM/FXTk3Lxo1ZVsjjjNCRWKpU+LqVYv9vofjxVTfP2D3yMOwIqqWjqxIzLcsLi83eOVik3//jQ1GwYiGlGKEMTNNi7Kt89K5Bnd3Jhw4CaPE5MsvzzGv+qRpzmKeM5iEzLdsvCAhlyW2RgHNisHcgkTN1ijbGvMtm4kvnHk8PPSyxGxDFGYrc2UuXUxZ353wRg6Q873rXTp1a0q+mVloUglEk3TWiylbKsuzZWYa1ofGM2VZzu3tEYHnMAomeGFOFIGsKZSqTVRF5pXLbeZaNre3R4zjIQD1OKVeFs5JWZazvS6+N8tQqZQNLl9e+FBF62AiIp/zHGp1k5W5n0wyzdOIuD4M/XHATtdBkngmN/QzfDr4z/7yS7x1q8vukcv/49ff4b/6X37u035JZ/iM4aDvsbE/hpwnapi7fsyNgjhULelcXmlMiTwA5MIJqlO3SJKMNMsLJwiRKmUaGYoCSSwTxxllU8MJYvZ7LiVLx/UTklQIFRRFpl03URWZF9aa7Pc8FEV6iMi/fTDhT9/aEftjp8zX3lykVbOmjUWpiPGs2PpjXffCOOX6uhgGLs5UiOKUPM+I4pShEyFLMn4s0jRMVUVRJDoNe0qOeJDU3h8H3Nkekudg6IpIMrjX497eCJBYma1wabnO0kyZu7tjSpYiIkdlMA0NP0wYjEORAqIqGLpCECdooVw0SyQGkwAvSAiiGNvQMXSFMEy5fm/AwImQEMNzWRJE9QtLNcq2gSzBG5fnadVtlmYrJEnGTteZNnmub/T53vUDbEOlWTeZbZR4b703dcz7pc7qqfc6nITc3h6SZTntunXKjWPyQJqb68e06xZZltOfBKiKRHfg0x36zD7Q8HX807FbjhvDWaDQjwTH13OSiDjYMEppVHRBxEpypJOqgw+ABMiyaIgWsxWyJCfLEjYOXGQZgjhBlhDujUFMlGR0ahaSxOm1BYphvS0crvyYWtmgO/DpjwNkWeLScv0hV6dzC1UMXSEqkoJ0TeHKakM4AqcZrar5TO4CX3tzibduHhKnGS+db6F/gGuoIktcXW2INUwWjc9jlG2dS0sidcQyVeZbn1xazKM+z0cheuDnz2MU6Bk+GWwdTNg7ctnriftXVWUURUFVZWxDJbL1QnSZiSFknpOEHyz6EsIPiE/07YW7bMLtnSH3Dibc3Brwc28siaZ5Lpyaxm6EJIu1aK5doj8K2O26GLrCC2vNR54Xy7bO+cUa797pYeoqr15ok+c5t7aGDCchiiJxZaVxJno+w08c6hWDC0s1BpOQsqUJR9Ujt3BKa7HTdfCDBENXsE7sd71xwJ9+f5s4yVFVmTjNp/exqeQkiRCAzLVLvHyhUxApJBw/Js9y4ixDK4TaQZSiyDLLM2U6jRJhnCKR8Z33D/HDFFWWeP1Kp3DSzGiULfZ795P6qiWdMEhJ85w3r3a4sz3EDwSx0Da0onaBLM9I0xxZhSwThEk/SpBkifnW/Vo0z3MWOyUGk3AqZl7fHYnUwCSjN/TIEcPUTt1i7IQEUUqjYpxaf3pD4TqXZTmNqkGairRXVZUJogS1UL1cXKrTqhms74yZb5d47fIMf/z9bbIsY2W+yn/3799j7EZYlspLq00qRd2uawp+EDN2BXH7JDHVf2Dw+DgYRW102PfQNeVUnfIgzi/U2NEckjRnpkhK+yjIimHBMaKi9vxxiIN/HhHF6XQzrpV09nseEz/CL4brrp9iGyp+lKIXBOcsF+kbJUsQieNEDESPddK5JBxkySUGRYLFxv6EPAfbUPjZN5ZI05y3bx8xmASUzBjbUHnpfJPe2CcIExwvRpZAV2Xml2ookoSsyKwtVPlLX15lfXfMza0BsiwTJSlZrrIyV6Fia4zdbfI8p2yqfOOdXSZuTBAlLM6UyYGffm0BSZJYaJfIr85MhePNmsF33ztgY39CmuasLVRYmilzb2/Mne0RIFz0TxKPj/GkNffjcLKXMNu0WZ2vPtRvOPmcDz7/g7X8xaW6IKOlOXMte0oyeLCPE8bpmYjjDFPUyqdrg7kPOaeevG5nmjZrD6TnflQ8eF0f3xMfdr+dPMtmWS5c9B+zdTlexM6hw96RS8nSWHpMcoepq3ztc0u8t95D1xRKlkqSZOi6Mk0rqZZ0OnWRzOGFIv3T8WIcP0JVJZZmKyiS6JVs7E/Y77k0KyZxQUBWZQlDU/EjQeoumRpuEFO1NcJYmOpULA0kOBoG7Pd9bm4N0HUFQ1NRVZlm1SJJUmxTw9RlQZQip1rWkXLY6bo4XkSai8+oU7dwfJFeoWkKkKEoMq9davPSuRYHA49rd3r0xwGdukWW51xdabB35OAGIgmoXjWI4ow3rnTY2B8zdiPyHBQFLq828AKxj+SSSDQNo5RWzeLqSpOJHyNJ0tS5/80rM7h+zPbhBFWWWd8bk2fCeV2Y/cikacqfvbNPlKSULZ2lmcpUxFEt6VxcruOHIkGuUbgxR3FGkuZs7k+KOg/8MOad26L+tEyVF9aa07UyK0iGYzdCVWSurDY+UfONM3w0HA487u2JOceDZMlj1CsmP/e5ZW5vDTi3UGOhU6ZkaeRZjh8kJGlKloszkoREGCfMtUps7o85GvqMHeHgq8oibWzshkiShBtEgISlqRwMXHrjEEUWgnNNVbi9M6Ria/RGAY4XMfHFzzs1i9X5Km4Y0xv6vHO3z9ahgx8mvHK+zfJchdmWTZJk9CcmvVGArsoYus5s0+LicoN/+0d3RJq4IqPp0KoZhEnOd987YDgR6d8SErqmIEsSvWHA0dDDKZzEF9olRk6IFIgZwuHAY3WuSrtuEUUJNzc9+pOAuWaJkqkSRAlBBHrRD2pVTbJcpB2kBTHxUbOc47XcNjXm2yUkYHm2wlzr6YVQInFAnwrxS5b2VETKJM14/15fnHM1havnmhg/xmmdP0o8tGfHKWGSEkYpP7h5iOPHHPY9TF1FkSTiIuEGCTGnlMQ+P3RCRhOR9CRRJPbJEmmeFel3Cn6QkiHO6JIso2oyUibmDX6QIskStqEy1yqhyBLtuoWhK/THIWM35htv77GxN2HsRuz3XLwgZjAOyLKM4UQ43md5znzLZmmmTBFixXxbOOIrcogs5wUpN6c79NFUhaNhQK1sTAUOaZZzda1BrazTaVjoqkjEalbNDzQtO1nXZFleCE1PX6e7R44wbZJEmsGH1WxPi+Pfe4wkFTPfj2qgeobnE/s9l82DCeRi/Z5vP9v1lmXZ6V7QA+vGfKvMxeUag3FIvWLQKOvc3h7j+DGrcxV+6xsu40j0vExdQVFlwlAMIFUF3l/vM/FE780sUq+OkziGTkgci71elYX4sT8OIadI77TZPXLRVYWrL8+RFZy8sqVRd3XyTNybFUvjcOBxd3dIlueszlUp2zp3t0dIssSbV2e4uzPk2t0+lqnwv/rVl6iUdMZuRNXWH5pJ9oa+6JfmoMgioSfNcpDEGnL93mD6ns7NV9nYHxPFGbYpDB78MCVJUmoVg3rF5Ic3DgFYminz9bd2cP2kEF9ZUxEHiN7uYCKMlk1D4Usvz5Nm+bR/sHfksnfkggRrc1UGk4CRE03nKGsLVfGeSjpHQx/nBCfg/FKNva7oLy/NVNC1+/t0taSfMpT53AuzHPRcjkYBy8U57Ac3DsmynFbN/ECTuQf39CtrjQ9MeTyecSFxysgIwDI0kSDoiff04Pd0eaXOTvGe5lulpxKBnuRSfNh7OsPHD1WGvhuiqvJzWfNtHUUP/WzzcMTKzKOTt58XaB+SlvpZxEzdYKMQLEvA3FMa0H4WUC6So7pDj0pJp15+tu/hue0it1otXnzxRX7jN36Dv/bX/hq//du/zeLiIktLS6ce9+/+3b+b/ve3vvUt/vE//sf8+q//+jP/XkmSsO0nP/we9j0s02R1XjS6Rj60PoKLyOU1i1ZDOKW0ahb9UUC5ZHPZstg8GJNJKq2GhYSE4ye0ayWqZZ08z7m82mIwCalXBdlqabYxHSRcWG7TqJVZ3x1hGSplS2P3yKU7FBHvWSbcXABsS+dwENAbh8w0bWRZZuLFvPSyaCTWygZjN2JproahKVxYbnEwWEfOYeT609i3iZvSqtuUbZ3VhSb3dkX0mqGrdOrm1CUYhHhmdaFFu6Ey8Ue8sDbD2nzC27ePMHURvTjbsnn50iyNqkmrXmJj30VRVdpNm1/8qVUOBy4b+w4Hw5ClTglZVrm5NeGVi21ubg7JMri03KJs6xz0PcZuyNhNidKI2YZNpWJzaVk4it07OELTDNoNWTiTSeI1zHfq6JrCpdX7LneVssU7d3pECawtVLm8OsONjT55DiXb4sVzTZI04+7emJKpPRSbdhK9kU+UyqS5iJYnB2QJP8xIMolmzeKli3MosoSuG2we+iRJhmnqfOXVBXa7LmM3wo8y0jSjWrbIUbBt+0NFHLe2XXRdFF1jPwdZO+UueYanx7t3RArH+cXaGbHpOYJpqPwf/vab/J/+71/nj3+wzU+9NMvPvrH04f/wDD8RyPOczULAAbB94DDbsD/QlW6n60ydNsZuxGAS0GlYU+cBy1Cp2Bpz7dJ0Ly5ZGrYhhmDX7vYAjVbN4MpqjfXdCZ2GTXfgcdj3uLhUxzZVDF2hVbOm6Rb2I/acKE7pjwP+7J3dacNnp+uw1/NYaJcYTgIaVRPLVFnslJElCVmSOex7tGrmqfe533OnTVFVlllbrgqSeEWQmQYT4aaZZTlxnGFqQnRxHKxm6Ar7PZEqoakKm/vj6d+FUcrllUbhACwO9LtHDt2hj2WqLM9WGLkhQZiwPFNhr+eR59ComOwcCYKLqsrTYUTZ1lEVmWbVRFUi0kzElUsIx1BdU6aND10WP7+8UscNUzo1i7lWiYEToOsqJbOEYSostst0hz5uIaixTY39gSeSUFSFg75Ho2Jgm8I91TI0GlUTQ1PYOphMf9/R0GemaU+dCs8tVLm1OSRKUhRF4sKS+A5zBLEsilIxHSqcC0/i4lKDrQOHOEmpl02W556tIegFMWM3omxpZ/vXE6JeMdC6ctH8S5ht2vTHwiWqXbPojf0PTLUBQcxGhrQQbxybKeRAkoFKhiRJJIkYcuja/djd4+Zdp24xdEQDVddkGhUDSZKmw4ixG01TgLIsZ+tAxIsnqWiChVHKxItoVM1T7pkrc1VKlohJb1bNZyIg2qbKl19deIrHizWsN/K5fq9Hu24xX4jmGlWTRvWTd8xoFKTcpHCZ6dQfLV6plgpRWJSCBDPNpxe5nOHHD1Gcsn04YeLGSIjzdp7nzDQsTF04TjYqFooqoSkS1+70GD2Bo41tK5iahuuH+NH9deWYAKCpEsNJyPrehF/44iq3t4bsdh1y4Nx8VThSIREcE7milP2ey8rcw8SxiRchIfHKBeEEt9tzkRVp6pKbpjnbhw5X15of/QM7wzMjTTN6I5EodmzucYZPHq2adWowdUy+TNKMiq2TZTm1skGzZjJ0QiTgxkafpBgoRrFIrz3+tpJUpFE1KhmqKjMYB6wWz9mqmby73kdKoGrpSJI0rQMXOhXOLYh68dqdLp6fECUZsQT3dsf8zV+4AkBvGLDTmxCGGaoi0ayZqKpCnh07yuuYhkioqFd0kiIlYHW2hhckDCYO7brFlbXmtJa4sFhj7EZ4QTwVf+/3PTRFKghXYq3IyYVTbSJIgXGaTQmDaZYRxil+KJwCdVXB8WNhSDMOMA2RRpAkos/l+QlZlrPQLvGFF9em4oXvvn/AC8Va9P33Dxk6IbIk4fsJm4cOL507HjLmlCydUlFDDSfBlLB6/Dk+CY4F78cYjINpnXSy/6Yo8iPX12fF8Znm+Dvo1D/cMOYMnxzKto5lqnT7Htc3hpimguMXyXUS+EFMGCaUbQ0vTFAUcR4+dh9UZIkciTxOSJMMWQFJkoW7F0LsEcTp9JycZDmOL/bmKE6FSKw4+75+pYMqy/zRD7ZRVYU0EQ7/qirzxZfm0VWFtfkquqZgFc6IiiKhqSrNqslcq8Tt7QGqImHoKne2R4Rxhh8J04j+OGToiP81KiaSJE0TtdIs59Zmn90jlzgWqaJBmLJ5MGHghNM6uTvwH+ku265ZdAf+lGjWekpnvJO9hIO+x0zTptO4fy7SVPkU0aBTt4SbdS5EWcfmDMdQFZnV4r6NYlEnGZrCTMNmY08kG1imenZWPsNDeLA2+CCcvG4P+x6zTRvrYxQFPe6M+mH3W6dhcVAkddQrxgeSNbYPHZEo0ZEIo5TFTvmx76FZNfnqa4scDX3u7ooEI0NXpqYSuiYjySKZ2NAUIY4IciolnaqtkaYZK/M14iSlbGkYmsrBwGOlSBEauRGaJoOkYhsqnYbN0AmQZZk0S0TCoCxxd3dEluWYuowfpiJZoiyhaTL39ka8drHD8myFe3sTdFWIO6IkxQtidE1GUSQmXszhwGO+XaJeMtjtuiiyhF3WaVUNyHPu7Y1FAomhstAuYejCqHBtocbSTIU7OyNURUJTFOZbJdo1kba823XRFImZls2FxTogSLr9kU+W5iIBSBc9zJKpiUTholcryzIlS+e1Sx3eudNj4kYsdko4foymHddYKW6RYuyFMb2xz9KJtNFm1eSNK/fnm6oi06gaDMehcG1OMiRg6EbTnrAfJBwOvKnJ0WASiDUWURfvdJ2zxN/PMDb3J9M5x27XpV0Te6QkSbTr5rTOXOyUWeyUCaKE4STE1FVMXcE+0MS6J0mszVcpWzqLnRI3Ngfc28vRVeHuLCsymioXRGaFNMtIU8iyFLcQQ4EwxZGkHFXRGTshRwMPP0yxDAXHl7BNlWbNFL/bVLm9NcQL4kL8LrN75LA4U0ZXFFp1i7s7YyqWSM6qlnVeWGuS58JAR5JAkcHQVaolkzjJuBEMCONEEOVTIdBq1yziJBWO5opITGvWTLp9j4Ohj6kp5DkszpRQFYUf3jzEMkV9EScZJVujYhsosgLknJuvoigyesGlOO6xPmqWUysbRfpBRqWkc3GpPhW/PYiRE+KHCfWy8ViR6aXlBt2hT57nT32OOOx7QqiMIOPu99xpvXSGj4bjuUI87T8L8f+fvbOLHwpz1ZU5kdSuawppJgwU/DCZiqe6fQ8kUd/nSOQ5WKZGEKdEodhbG1WLLAuQi/Q/oBBjW1y7G07JwqoisTpbwbY1Zpo2OwcOZUtj4kWMnJAgShiMfRRZIYySYvYpkSNMKmolA1mW2TyY8NqlNn4cTwVKtiXSuSxTY+IWwqyGxbmFGl4Qo6lir21WTSxD5cJSnQtP8VnONCx2uy4gzuzHdUmW5RyNfNIsY2N/giIJ44m3bx9RsbVpf+DjgCxLdBrWNBWwWTM/UgLDGZ5f5LmYvx3vs1sHE2aa9jOlWmuqQr1iTHvynYZNGKcMxkHBDTBZnauxPCNq/NmmxWASoWkSnYZJJom6E0R9pigKajH+S1KJ3kjMunVNmLvZpoamyKInp9vc3B6SZzlGWce29el7GrsRtYoxNVrb7jpcWKwVxhUapq4ycqJp4tfd3fH99DcnYvfQwTRUJOCtm10aVYvPvziHKkvc2hry1dcXybIc+xGC4EbVmPbGKhUD01BwfWGoIZGz13M4GokkEMeLyArzvTBSqVUM0jQjSoQg2fPjaY9v78iZJhMK1/UMXVWIkhRJgtmGPU02TJIcWZJYKsyR4yRl59Bh7EVIwDXvaLq+pGnOdtfh6mpzKliTJQnHv382+uqrC9zZGQM5y7MVjBPCCstQefFck+EkxDJVGhXzVLLPO3eOpryD3ihgphmd6lse80N0TZwRT+/pgs/wqDoiilMh4ADIYegEGLp66pzZqlmPTdrTil7Us2DrcHLqPc02o7M+zI8IeQ6yJE/n8Gn24SaVnzUszz5sst0uP//81yx9WJzyWcdB/76xWA7c3Rl9ei/mGXE0ClAVecpT2et5H8j9fhyeWxEHwD/4B/+Av/f3/h7//J//c0qlEv/4H/9jAP7+3//7/PzP/zx/8S/+xU/5FfLQAfejzs1EY8Q68Wfx/7IssTJbpWSp/Nwbi/THId94exc/iMkQTlyvXGhTKtItSpZ2amh4YalGx7VIj9X5wOq8wmDkoyoSiTjSkWQ5eZZTtnWGRUFl6gqaIvGlV2b52ueWRIR7RSdKctZ3RkWcWi4cbiwVWRKDEUkSsWTz7RJ5BpsHEyZexL29MXOtEht7YzRVplWzOBr5nF+ocW9vQn8c0B8HtGomnbqFZSpEcYYXJNzZHjFuiM15pmkTxcK1r1bWubZ+hOOHTNwQr2pg6GrRpM1RVYksE5vL8WcaJxndoU/ZFsPgSkl76HMvWxqrc1XOL9boNOxTcbLHmGmUWJ6JyHMxRK7YGq9caIuDtaWR5Tm//ef38Itirz/2+fwLc4/9/kEUsYamiO8qEn9WZIksy6YD/nrF5Nd++hzdoU+zKppW37q2TxilpJlwEl/slLEt9YkaMdIDb00+GwJ/ZLx9W4g4jklPZ3h+cGW1yd/6hcv8i9+5wT/912/z4rnWqbX5DD/ZkCSJvJi0CnLGB6+XD66nsiTRaliUTI0oTqmWdBRFZqFdpmrrxGlWNDolfu2r57m00iCMEl4610SWZbpD4Ux7HAsqSbDQLlGvmMy17Idc9Y+RpBnvrfeI4oyjYUAOU4c8RRYDV01VkGWZ2ZbF2lyNg75Hb+TTG4nkhxfPNad7ykPvS5aolQw6dRvHi5j1beoVg8O+x9iJOOh76JpM84sG1bLBYBwyGIfs91xevtB+ZE3VqJpoqhhUOL5w+KvYOp2GzWAccDT0UVWZiq0JVztyxm6IqStYmkK9bFAyVaolDVVVuLBYxwtiVFVGVWWOhkJ0kWV5kQqQYRRJHGM3ZuhEVCyN3sjnnTtHzLVK/PF4mysrDVo1C8tUmWvafOf9A1w/xvGiqUPXMSaeGERt7k/YPXJ55ULroUvmZM+uXjH5lZ9eozv0aRQOINsHE/7oB9tkWc5+z50ObCoPqO3LlsbqfBXfj2nVTZTH2SV+ABw/5v31niATSHB5uUG98uhr6gz3oWsKL19o43jR1A35zs6A3/nzTVbnq1TLGjfuDfmgfAZJFjVfkmbTdSbPhagDxD2hqsK1slGzmGnYrM5ViJMMq3DHqZUNXj7fIoxSyrb+UO36YH/4cOAXYim4tzsqfo8gCVxZaZxaT54lfeOj4mjo8bvf3pyKzn76tYWnIlh+VBiawisXWjhejGWojx2CqorMS+dbTNwIQ1fOhNBnKCAEDseut+KerSJLEroms3ckBt5uGPNH393Gj1KyXJxX8w/oiTpeSqrnSJKMoQoXLEmRSOJ8mmSlKTILbUEE++UvraIqIkK9UTFE4s+D+9BjhkePqmEe/NnZsfHTRZ7nXN8YTMXBQyeYmlOc4dPBxIunTnCOH+P6CdWygSSduKeKM4SEcFqWkJBkaUp4kyWYb9tcWqmjKTKOH+N4segzlXTOU2PkhpiGEDcvzVaI45TuwCVOM7IsJ5cgTu8787XqJn/3r7/Bvf0Ri50y//L3bnFYkBtkCV49kR7aadhTBzbbUrm7OyaOM/ww4Rd/aoU4Eb1F29K4fq8PiGtxY3/MyI1QJIlqWWd1vkocp2LomeUEYYKqyZTM+zVsnkNGjqbIaIrM4cCb1iZxknFuoXrqsdP+XlEnTT/SE2uRrEicXJpmGxZXVsV9MXaj+8NH4KuvLUyTUT7I0fODsHkw5hs/3COME1bmKvzM60uP7B9+XDju8QKPPfud4UcDRZZYaNt89719olikXGuKTFwQ86IkI89Eml2aCVFP1dIwDY2XzjfoT0J2uy6OJ+NHCeQ5ZUtH1xTOLdRo1SxWZytYukqcpARFr9nxY8jzqZhL8YW5wdEwQFMV/MAnSjImXsxCu8TBkcdf+soaJUvj7s6I3a4j+szA4kyZds3i2+/tc3NjMHXErZd1ZEkShEX1Ppn7Uf3imxsD9vseqiwjyRKdukjMVmQJRRYO+r4fYxSuvg+iZGm8crGN58fYloahKfRGPjc2BuiazKuXZkSSyWPwyF5CxeSVC22CMHnoXNQqyNJhlFIp6Y8lVcVJxrW7vamT7tJsmRfPt4iP+zhnoskzfAR83HPFB/G4M+qj7reTWJ2r0qiYhRj1gwkyJ2doZUt7orSFdt3CNk/ff4cDj51DF1NTuLU1QNdEum6awldemUdXVUxd5epag/fW+yx0yrhBTMlSWZqp0G5YU3JxdyiUdFKeczTwmHgRcZJj6gp/5WsX+J/++A4be2OiJENRxL2tqiI5LYozckRySJ7nHAw8sjynVtKJopSxK+rtNMsKUwwHTZVZmamg6SJStT8O+a0/28AuBBy6piArEsvFWn5puUEYJ0RpSrfv8+76Ee2qxbt3jvCChHrVIMtyXjnf4pWLbYIwxdAVdroOluGSZjm2oXB3dzw9w42ckIvLdaDoOdcskfacZiiyzGzTxjZUkixDlgwcL8E2VaolA1N7+DurlvRT801dU1DVmGpJEIUVWXrouz65NzzqDHmGzy5Ofz0iReXY8OHktQWC5Hftbm/ao+s0LCSgZAoToNW5KgudMhM3QpVlOnUbWxczctMQM4ckSalXjMKMRtyD797uEyfies2L3qiiKGweTDB1laWZMrqqUC0bmLrK6nwVz4/4/o0u+0duMR9QIM+pWBqbBxOW56qszFX483f2iNMMZ+Rz0PdETSDL4ryjCRLkTMMS16kkzgpxnFMuiXTlq6sNljrCyGkwDpDIMTQFCYlqRcw46mWdmWaZ1bkajarJ27e6hT+j+HBXZioi8ThJsQyNl841C2K59KHrrKbKvHRe9Js/qN94NPSnZKht2eHl861H9jAFsffZjEgf7Bud3dsfH07OFcxi/6hXDHYOJ7h+LK45SeKFtaYQkRsqh32Pna4QGncaJoos0fEtDgY+btE7yPOcJElIs5wwSTkc+KiyOKtHkUh6atcFCfjGPZHWJMkScSLOJAd9j5EjhBtRnBInQlBuaDK9UYCqKhiqQskUe0VcEJ2TLGPoRERxThwdkEs5t7dHhFEiZphNmzeXRGpobxTSrpnIsszKXEXM8x7gOD0NlmYq1MoGSTFjPa63bm8Pp4mfe0cu9YrB7pGDhMS1uz1ePN8+ZWj1UXFuoXYqbewMP7l4kE/wUVbOS8t1Rk6EJAnDtHfu9EiKs+rybGVa41umyreu7XNzc0Ca5QwmEXNNm5Eekuc5igpRmBMWqaD1ssHmCeNBU5eZaVhTEVmWZ8y5FmGc0albLLZL03tLVU/33+I45b31/vS5Li3XefnEuXxjfyxmH5nowx30/WktkiQpR6NgShY3TYX31nscO+BcXW2eup/W5mskKWRpxlzbZmWmzMCJi7N/ztd/uMvYi9BUmSvLdVErIJ6r7kZC2JXm5PmE7sATfRaEWdJs08YPE1RFYqFdOTWz740CTF0VxhqGMNg8Rp7DdncyFYEYmnJKJPbg3vmos1GnYZPnPLJGsM3HmzB/UA1+kh8CnEr4AJF4cdgXwpQdxeGlc/friON58bFwR1WUH9ks9FE8lDP8aKAWZ1gviFEV+anNVj4LeAaKzHOBsvXsoQKfFrwH0s/DIH7MIz+7eIjb9Yzr0XMt4jh//jz/8l/+y4d+/g//4T985OO/+MUvfqQUjmdBq2YydERklm2ozzzwexxmGjZjNxIRiE7I0chnp+uw0CkTxik7XRfIubrWonasijzBr1rfHXH93gBZFnHieZbxwzs94VwzW6FZt0jTfOrqlecZRyMRFWoaIuKzbAml/Vs3+1xZbUzVRIOJcHo0dJULiw12uhMuLNWFut8QjZTFTplOw2bixxz0XQ4HPkMnRFdFkyMI02mRdzQUStl62cALYmRZolI2CIKY3shHluHe3pjt7oQwSlnfGZFmGbpaZ6/nQi7RqZeIoky4zLTLfOHFGTb2J9iGKB6CSDSIXD9hOAmolXVMUxVq+1tHTNyYL7w4y9p8lVtbQ6I4RdNkhk7IN9/ZZeREzLVL/KUvrkyJkYNJMCV3+2FKlGSYJ0heWweCtNkbBqIJ5AVUS4Zo3D7QRGlUDFo1kyBKWOiUGU1CHCWmU7exDI1a2SDLc+SiHC7b+lRtGoSJiF2LhQBGkWQqJZ3l2coTDY/X5mvc3h6SphmLM+Uf6zh4x4vY7jrIksTKbOUTe6/HSRxnIo7nE3/zFy7z3fcPuLU15L/9H77Pf/2//crZ4eAMSJLE+cUa67sj8lw47n7Y4H5ptowfJvhRQrtmTQnxpUcMOB/lIHDlAbeycwtV7u2NaddNWlUTSZamkfePei1pmrF5MOFo6DOchNTKBkuzNn/4vV0USeLNqx3mWiV+cONwui/d3Rqxve/QH4u9UiqGgFGSTQe88+0SEy8Sjm6KRH8cYJqqcFxzIkqWSppkDCchcSoatyVLZeRGZDm8c/uIKE5ZnClzbqHGuYUH9iFd5Usvz/Hn7+4zHAuR5m9+Y52ypfL65Q6zrRKGpoooaEunVtHZ6ToiRUySGDkRsixRr1iUTOEMvHkw5gc3DjENlV/60irNikmzajJyQmxDJsuEMMYwVAxNYa5lY+iCQKLIEt2BJ2Jis5zVhRrtusX5hRprsxU29sdUyyIqtFoxWJ2vFpHSCa9fFvtAf+TzgxuH6LrKfl+4+19daz7U5Dje33sjn9/51j1ubw3xwwRZlojjlHfvHDHfKfMLX1g+9e+6Ix8/EO7Ljp8wdiI6jacj3o+c8D55OBd1zpmI48mgqfddKbYOxnzv/UN2Dh1BypYlFBmyEyoO+YE/pxmkUVaQq3OyHBRJPE6RKJJghEjX0hR6Yx+rKwheM80SYZTy/nof01BYmXv02lS2deZathBVFUOVYxwN/cKtUy0cVcJPnRi4feicione3B8/s4gjjFM29sZkWc58u/TE701TFRrVD+/2CIfK56+RdYZPDlkm3Oe6sY8sCVfT2ZbN++t9klThq68vMJiEHAw8hm6IFwiH7izPkHI+UPTlRxmqLMijkgQyEu2aQbNiEqYZ5+arzLVK3NwcsDJX4adenOP/9wc32T6YsDpX5fIvXaVaFqlLFUt/JKHy9taAW1sj/DBmtmVTMjXW5kUqz0xTJILpmvKxOsyfRH8ccNDz0DThhv1JEqKfZ8RJNhVwAAyeIM3lDJ8sPD/C9WMmXkzJVNntOuz3XWRJ4vx8je1Dh7gY9Nm6zNAT399C00SSRCLabMPmwlJtmlaxvjvCCxMh3EwznCRlu+tSshQ+98KMIBtYGp1GibItCN6aLLNS9IOSor5eaJenbsu2obJXCCwWOmVKtk6ai597QTwd7N3cHBJEKXGSYSYK371+wGAcosgS55fq9IseYk7O/pErhGWSIPj5pZiJG9NuWMy3SgydEEWWsUs6//aPb+P6ES+ca/LmlTkojkFjN+StW0dEccbllRrN2gxBJBIHsjyfDvDCKCWIkmkdfX6xxt0dcUb75S+t8fvf3eSg79Gu27x4rsm3ru0B8OrFzvQzqpV0Zlvlac10nFLmBvE0meBJ8M23dtk8EJHg3YHP5eXG9HPuj3x+51ubBFHCm1dnePVi5yNdXyA+30+7RjvDfez3fNb3xhz2vMLdXMIyVFRFnFOTNCeIxH0uSxCnGWVFIpclyJkSA0qGONuqqiz66rNVVucrGJrMf/zWBmGcUS0bbO47uEFEGIu0GsgII41/80e3eeNKB1WGLM+JkpSqraNpCk4Q8a/+4BYHfRdZEqToTsOmN/KxDZW1hSq/8ad3uHa3RxAlGLrCQtsmy3NGbogqS8w1bZo1c3rtRUnGd9/bpzcKCKKY1bkai50S9/YzbFNltSBPVmydzYMJRsX8QIcyQ1OmvYYgSvj9b28RJYL4MHFj/sLnlx/7bx/VSwCmLviPwgeRH47heNFUwAEwGIfCaf5jJHid4ScXj7tuP0487ox68n47xg9uHLLXc2lVTb7w4iyy/HDtvXsk+oQTN6Jq65RsHUNPieKUTuPxpjLHOOx7gvT0QM9iMA5w/Ih3bh0xckKqJYNKSUeWJaol4ThcLom9e6FTYvvQQVMUFuZt/vxdMbNbmikXqcU+O4cTHD+mbGqEsUjdKFk6aZLzn/ziVf7f//E9NvYmtKvCnCWMUmplg+Ek4F/89nUURcJUJeJUiO9KpsLaQh1VESlIgqwqM/ZCaraBo8Xsdt1iXRHPN3IjkCTKtsZgEnJ3e8SbVzvUKwbdQYalazj+mLETMRiFqKpE2dKolwxB/pZlLEPDKuaasw2L71zbZ+TGnFus0Kzc7/UNJsH0v4/roXMLVbwwZjCOWOiUybKcwTjg3GIVx4/IJViZrXBp5fS6vN9z6Y+FY/HybGU6CzENlaVOhe18jKooXF2pn6qnOidcgOsVg3ZdGPdZusrS7Mc7Mz/Dx4vFTolvXTsgz3NeON9iNL5/njx5bQFM3IiN3TEHfQ/TUIr+gH5qnmFoCpsT4fK8Oldl58ihZIqkbNtU8cIES1cIC07C3pGLqsrIMlipSqZlKIUge+LFSDkosoymSkz8lL2uy9AJeflcE6NI/U6znDgQjv5pnpOkGaosYZvC9Omw7+IFMZapEYUJRkkYQ/ZHAXKUIstFcnguXPxHk5Asz6lXDBbaZWoVne/fPKQ39EmyHEOXacQiDf1w6BPHMX92bZ8szZlt2fzs64sMJoIoe2GxzldfW+DP3tkjiXMWF8V6/933D9g+nLDTdbBNjV/96XNcXnl0wunJfvODyLKcrcMJ1+70WN8ZIckSMw3rE5l7dxo2IydkVKR3z7efLQH8DI/Go77nL7w0j+PHdIc+rarFX/j8EkmSCUPPOKNe0dnan3Bza4CpiaQXP4hRinnhYByQZxmqIiMrElGc0W6VQM5xHCFy1LWIF9aatOs2+32PPBP3xN29keDwyFAv66RpTpglKDJ4fkIQpWRBQsXWmW/ZWKbG4cDDMlS6Aw9T1zA0mbfXe8w2LEAijDOCUDi+z7ZKzDRtfvDtTUZOxPJslf/8f/EScQp3d0eP5G8czzmDMKVdtx4796o8MGPNsnyaXiDLEoYmc3t7QG8YMNuy6Y0EB+vjFHHAmeHCGR7NJ/goPBNJkqaz2sE4mAo4QPTR0ywTvX5b587WEEWRURRIkoyVuTLfvS6S3b58ZY6joc/1jQHkMpeWapQskY4jRAcqg0lEUiT3ZalEsybMokumRqchBB0g+ApekLDfc9FUmbKt8Yff3eaw71Et61QrOldXmtNz+RdfmuPrb+0SxSmXVxoMJiHdgRBytBo2fpSy03UwdYWqdT/x43hWfVLEUbY0ZhsWWS7SBoM04907XXRN4fxClXfvdAljIVQx1JzFmTquH9OomvSGPrqqgCpS5dxAmDSC4D60aibX7vYwdJVf/eraKU6eZYqkVT9MaFZNVFXmD767SRRnXFquU7UNwkjMgzoNCzeIuH5vQNnW+dWfXmOrML6u2DpLM+WHehMftHYc1+q2qTHfKvGDm4f0xwEL7RKXlhvc2hoQJxlzrRKSJBKhAaolg839CTuHjhAOXmzRqIjkaJHuJxI3QCSGjAtRIYj9aXWuytbBRPS2F2pPNQv1w4StgwlZnrPUKT9VksbqfJXbJ97Tp2Wel6QZm/uCo3qcPPLjjrKts9ApTbkEz5qm8mli7AUP/SyIJOznTwNxCqvP4XdhG6f7S7XnkEvRrlnc3hqy13Oplw1eu/RsHOAfXxb2ZwSyLH2iLoeyLHF5pcHR0OM/bg7I0pyDvsf2ocNO1yEMU2oVg+3DyVTFe4yRE/LNt3eFa3Pfo1YShyw3iDENlWvrfRGTJYmhRhKnVEoGjp8w8SIURWamafHG5Vn2jhwOBx69sU+zKlyhLV1FkiAME5ZmSnzuhZlTpKokyYgSMbj5/o199nsipjCMUsI4wbJUTE1hoV3CtjQqJR3HF+KNxZkyi+0yO11HxI51HY6GwTS+be/IZexGwkFsd8yrl+4PQRdnhNL4teJn3UHApCi6siwnDFOurNZp1QyqJZ0wTvnWtX3KliB/Rm+n/NKX1njjygyb+2P2ex7fe/+Ad+70qJY0joY+mgw///lVVFXGNrUpaUJThXNgXjSKNFUBKWe365JmglyR5+Kw6Poxr1xsn3L7kiSJC0t1Vuaq2KZGluWs743Qi1SNaTrHoyBJtOrWdMhftjVePPdwRBSIKDdVkU85PlVLOm9emXnSS/O5RZrl3NgcTAmBQZR8LEP0B9Eb+ex0XSQJXjz/6O/hDJ9tqIrM//E//Rz/+//mj3jr1hH//ut3+Ss/+zTBrWf4cUWzaj42tvpRMHWVVy5+fGKuVu3pDoibBxO6A58oSTkoCJfXN0aUTBXb0tg6dNg7crBNEWt60PfY2J/Qqpvc3R1SLYmBRZy6JEmKror9Q1VkXjzXIk0zfniry8gJub01JAdW5irc3BywNFvh9vaIOBGOpK4fM3QCdg7HHI1EdJ6zOeCLr8wx2yg9tA+tzddYnq3yr/7wOm/dFo3WsRtxbiHmL3x+ia39iRBP6iqXVurc2R5y/Z5wFylZGlfXmrSqFtWyznt3e3zv+iFZnnM09Pmtb97ja28uszpXYXlmnm+/d4CuyWiyzNiPWZwpUy0ZrMxVuLc3ZqfrkmcZIyegZKqMHVFbmLrCxeUGy3MVJASh6txiFQk4v1Bjv+8ShhlhlIghl66yfTgUDsutEq4fE8bpQwN0gD/63hZ+mDJ2I7YOHJZmS+weeSzPlbF0lR/cPOLcQn36+IkrnJEA/CghzT6IAvxo2A8MeM4SBZ4Nv/6HtzkaejhhTJqIyPs0P+F+n0O7qnM0EqKmk8hyYWwiIwgDli6h6SoXF2sszVZpVkzeu9cvSJniMfWywfWNPoosM3Zzsky4NE+fM8sIIlGXr8xVp6Tr6xv96bVsWxrqCZL0sQj6k8JxvfxgTXoSx3XtMZ5m7X0Qt7eG05rd8WNev9w5izI/wycKTVNoN+6LN7M8Z+xEJ4wfJF4+3xbx23lOmmWkSY4qS2iahBs+fg2XgCQDSc5pVmw0TeLcQo3/5H92lfm2EGbGiSB3RnHKyInY2p+Q5XB3d8y//9O7/Ke//MJjn/9o6PHn1/ang5IozvjpV+/v0Wvz1U+0cRuECbe3h9Pfn2U5l1c+ub7L8wyRsiJPSaYP7uNn+NHD8ROiWAif4yTl3u6YVkEuOOx7LHbKJGmGLEv0xyFzzWJ4JUmnDCCy/P7eOC5qvCwXg9mcHNtUkYC3bh7x5Zfn8YKE2abFxaU6aZYjA1dWW7zxmD6PZajMt8TUwtAUXjzfng5V//Uf3MIvHJKGTkiSiJQwP4jZOpxMB4p3d8asLVQL57qcoRMKMSgwnOS8cK5FvWwSF7VQs2oiyxK/8ad3p4Kjt24d0ayYrBU17fV7991/b20N+Ss/c4EX1loossTNzQEDJ4Q8R9eUU+6cjYrJ567erxP+zq+8KD5nCf71H90hKp7zT3+4w1//+Uv3e3YnsNN1OCic5xwvxtTVJxIz+9H9xJOMHO+Em9S/+/pdsc4Dv/1n91joiNSDp8WT1E1n+HSwdThhc39CmmakWU7V1vniS/PMNG3ubA85HHgc9DwgQVNlVEXGMlW29yYkmSAIhoVg3zA0Li7WaNVMfvbNRWRZxo9S3rgyw9gJ+Na1fWRFZjQJ8YIYU5dx/Aw3SOgOfH77W5t06hb1soGmytiGcNnfPBgzmkTi+UJBYvzCC3PMNGwuLdexdJW720OGjiAcDsYhraoQn4l0S41qSWc0KQhOts4Prh8Uwikxq7ANjbl2mXOL9Wn/I8tyGlWTmSd0fBbXec7IiaYCDmDaO3gcPqmetmWopxLSbPNsjz3Dx4fP0izm5uaAa3d7APRHAaahTmdrx+iPA7YPHI6GPv2xMBFr1SwurzxZeuvYjbi3NwZg4om552rRl7BNjXfv9HDCuBC+JZxfqrPQLjHfLgMSSSISbi+vNPjiS3NYusrvfWeLzQMHWaIQnydMvBBFUXD9mDjJqNo6FdugXjEoWSLB7L/4G69ze3sEOQRRzNiJuLM74q3bYi1PkoxBLsx3DA3iRMHxI5Y6ZeI0o1ExWZotC4dyTxCaK5Ym6hdTpHiYuoKuyoRxSsXWWWiXCOMML4jFWiKBGwhRva4qRHGObah0mjbkOWsPmFe8e7dPkon6r9v30RSZim1MP79j1CsGb16dIU4y8jznnTtHgojlhOiaEIb81EvzrMxVHhKrDiYBm/tClOp4Yk67XIhSVVniwlJt2meqV4zHns+OCYsfJNw7TqA9SzT69HE48JkvroXJJEKRpakD9oNCyJETcmtnCDmMPTHzuLB0n4h3/Hjb1BiMQ5EsNl/jhXPNKak6y3KyPEdVZN661RUEwkmIHyYipVCTGYwCkjTF8RPiNEdTZdI8x/FiVE3G8SKubw5oVAz2j1R0VUaWlOJ5JRRZnI+TRDiGX1yu0x2IWqJaNgAJz09oFGtXbxwgy1CyNb762hJRnHJvb4xlKCzNVLi3NyTLcsq2jh8meGFKycrY6jrkWc69I5fDoQeSRHfoY+oKP/P6IheX6jSqJu+t96dCJ8eP+L3vHOEFMV9/S/A3WjWT/89vXee//t995am/v/2ey0HP497eiI2DCRVbY+JFvHKx/cT115NCkSWurD5aaHKGjwdxkqEq0vS8p6syv/SltenfZ1nOtbs9/DBmOBEGs4NJiONFDJKcNM1oVA1mmyUOBi7thkWa50RxKlL2ZJlW3SQIY7qSmGuNvYidQ4+feWNRpOv1JoycmO7AQ5ZlamUdRVFo1zRqSybX7h6RpEFhTHVsiKbxN3/hCvt9l+0Dh+/fOESWEORp8ulan6Q5SZaR5fD+ep/rm312jzxkCbYPJ/zHP99gabY65W+EUcorF9vTM8L24WR6L0+8CMtUn0h4IcsSpqEQhMLEwgsTamWDwTikPwrQVYXgAYfoM5zh48LT8gmeFOYDZ9UgSnC7xezLi6e9ORDu4a6fcGmpTg70xxGKonBppYGMhKTIzLdL03pg7IanDBFsU5sKzhVFYnWhRvUEEb9Vg7lWCUWW+OZbO9zaGgIwciPevX3E1RMixfl2mb/xFy8DYk1761aXiq0hIZGmGWMnxDYbSBJoukKWZ8RxiqaJ1J+T6DTsaR0cxAnfemdfpH6lOf/hm/cIIpGyl6Xw/r0RF5Za6JqMIkvomjI1r9E0GVWRpuKCKM74yqvzvHFlFgBdO10PGZpyqn/7H765Tn8kyOL9sc+5hSr1Sh0QnLz13bF4nXnON97apV23CKKYkSP6NU+6X4+c8FStfmOjP10T+yNhIv36ZXG+zPOcH9zsToU+O12HG5sDUYMDd7YV/vYv3Z8NbR1McAqTIaSH5wuzTfuZk7xubg6mSfU3/AGvX5554jNA2dKm7+nTxL298fQ7nviRMGb6CeBOrMxVmW8L86Pn0ej4UXqo6o+BwPL6eu/TfglPjd7kdPLGftd9zCM/uxg5oUilqZoYukJ36LM0U3nq5znrLP+YYOLFkAviR5bnIilDV0mzHMtQqdgaUZKdDOHA8WORroEogoIoIU0FiT0IE/rjAD9MyTKEMzCigIviFLmIAEvSnN7IZ78nooNtU8XxYuoVE12T6Q48bm+PMHSFX529f4Ee9D3++HvbREnKXKvEXMtiqVNi7AlnlkbV5KVzLXKE8OG1Sx0qtnDXmbgR/XHA9Y0+/XFAp2HTqpnESY4kSVRtnQPJRdNENL1lqtTKBj/10hw7hw6NqsErF+6T5i8u19npOtzeGvAH39kkTDLyHF671EbXFBZnSlQsnbItNlrXu7+AHA+Oj+PTkjSjPwr5kx/uMpzEfO1zS1wqnj/LhHthlKTcuDcgjFPhsm6qrMyW6RYbe6Nq4ngRez2XKE6Zb5ceci/VVJmra032ey6NqiGIfLLMwol4umPkec7t7SGDcUiSZZQtbarcfRBplnNjo4/jxeiazNXV5o914sajkKTZKUfn8MSw/ePEW7e6AFxYrH3s7g1n+NFhsVPmf/1XXuKf/eu3+e9/8z1ev9z5xNyGz3CGTwph4Z6gqwpLnTIlWyNOUsIkIxyHGJrMYBJyeaXBzqHD0dgHKac78EkSsV6WTBU/TPjhzSMqJY2rq80paSpOMw76Hv1RwMbemFyCsqmS5cK5wTZkokhG1xWSNOcbb+2RZjntuiWc+0yVOHo0UbU78Lm3N2Jz10GWJRRJOJtvH465tT3ivTs9kjRjpmHz6qU2b16ZQZYFqeWNKx1sU7zXiRvx7t0eg0mIIkMQCDfh7cMJYydEUSQmXiTiQiWJTsNmcaZCrawz27SJ4pTzizUG44CJH9OfhARxwsvnO8iycNbbXB+jKjLnFmvFsFS8h07DxvUiSpbOQqeMrilMvEg02H3RML669rCII0ky/CJytWLr1ErC6aNWjqeDWu+BuMFa2aBZM4li4bqqPMI58cPQqJqsLVQZOxFlW3vmxsxPMqIoLVL0RC2epvnU8SrLciQkdE1ClpX7TjIP4PjHUZKRJKDFOVsHLl97cwXHj7BNlWpJXAfbh45w8+971MsGEy9i98glTlMuLzcYuyG//51N/DClWTP5hZ9aRS/EGhcWRR2bpBkvnW/h+DETV3z3T5vi8lSfUZxyfaNPEKZYpsoLa81HCipW56sifbCo8V/6CMLYkzVfluXFYOxMxHGGTw6KLHF1tcHekSuctRWJvSNv+vdhnHI09FnfHU5Fd1kuIjjc5DGLQ4HjIY0qy4RJApKCKkskaYYfxKzvjokKgeDKfIWjoXtKMDZwHnahOYnj/sMxPP9HG28bxump339cy5zhYciyxNW1JrtdUSt93OmwZ3h6NCoG8y0bN0gKIUcihl+SRJZn7Bw4pLlYI2olnTwX93TZ0mnVzCnZTzuxRxm6ihuIfp2qSDheTE6ILEn0Rj6/++0NkjTnwmKVF8+1uH6vT7Wk89VXFx77Ohc7JY6GPlmWszRTmg5jsixnrlWiV5CmS5ZGGKc4XoSpydzaHk+fw49itg8c/DCmbGtcWWkw8WM0VTj3HUNTZfIknwrK4+TkPS2haQrNogFuGSp+lJBnOZqq8O7dHt1hgKaK6HbhWp5zda3x2H08TjKubwjjGkWmcCMVj/X8mO/f6JKmQtx69UQN8mB/KIgS4MOHOy+ea+L5MWmWU6/opxynJ240/e8sh9EkfGoRR5xkXL/Xxw8TLEPl6lrjIQHKGT49ZGlGxdZx/AgpzQmjhL2ey9iPiKKEwSTEj2JkScLQZfJMIggTkiyHLMeyNAJgtlmmVbe4slrntUudqQt+dyjMnO5uj9jtugXBQBbi6ywjK9wxBXk5IggT0ixneabEuYU6ZUtn/8jBD5NpcnRWXKu3t4e8t95DVxV0VaFia1MhihvEeKFYd3RVJilMor77/gHVkj4VJ0mSRLtmYegqnYbFQrEPjZyQW1uC9NhpWB+apueHCdfv9UXikK5g6jJB0SeYf8JUnI8bpqFyeaVBd+CLdJKzPfYMP6ZwHqj1jw3RTkLsiUyFw8f//6R75fG/P8bJPXexU0ZTZSqWzkKnQn/sk6YZr1xo4wXJQ89TlwyurDb43W9voKkSuqaSphmHA7+olWQUWUYukk0Pei4VW+PG1pBvvL2HLEnMNC2qtoHjJZRsIVLLMtFzTDNRm8VJBnmOoSsMnZCJKz6nlbkKZUsnrmas747oDQOiJCXL82nC2bnFGp2GzUHPRZIKUlguzjWNismlpTo7hw6DsU+eixSOkqWyczjB0hX88PR30hv5HPQ9sky8nuNksUfV/+u7I7oDf/p3Nzb7+HFKtWRMiWKP6vU9WAcdn8EO+x739scEUYKuKcy3Siw+Yvb4pNg6mLB3JMzPzi/WfiKcbD/LONUry3OurDQ4GvqPvLbSLKdZMfFDkSLaqBqcW6gxckJKljYVBi20S0iAFyQ0qsZUwPFgbTCdWWgy1zfGQkB2sU3Z1Ng7ckjSnJmmMMYYuyFjLyKKhElFxda4uFTHtrTC5CYviNoqs00bN4j49T++ze7hmOsbQ2xDZXGmzOdemCVLcw6HHnmaMZhEWIbC4dDH8WKWZ8uULJ3XL3eQZTgaBgSR4FOA6PHWyzppJkQltqngFQK0PM+QJZnu0OfuzmgqDvcKY82Fdpk0zXC8iCzLSIo5dZ4LLkIQJJhPKRg95jCoioxtqGiqTLNqToU4Z3g+kGU5NzcHjN1oyg95VJpckmbc3BywuTeeJnV6QcLQCYkScQ0iQaWkoyoyhqrgWhqjgrQ73y6hqTJDR5hOaIqELMtkeU7V1ri9M2A8CbFMDZCwDIV2IRAXsw4h+NZUDUOPSTPQNQVZhnfvHIkUqlzM/cZuyGAcYJoKuZSjqxKaKuH6MVIjQ5IU3OKsHCcZjh/x7t0+lqFPxaFBlOAFMTc2hAt7fxJQLxsn0jmTJ+ZfXFkVfbMkyYTpzSSkVtaJ4oxOw/qJ48qc4fmH9cBZNc1yMd8u8MWX5mhWDUZOxIvnm/y7P73L2I3Ic1AUcP2YwSgEGV5W21wsknYtU6UVmlNhdcnUuLRc56Dv4YUJl1capwQccLr2HLoi1SZOUhRFJv8An0FZFqaIm7fHKIrMhcUqm4cSo1GArsrUFmvc3hrRHwc0KyavPmCWeZKjl2aZmKsUCKLk1Og1z3PCOMULEqolnS+/Okd3EOCHCReW6tzdHrC+K/qds01b9G0LSt6HcclOnqWyDJZmKkRxVvRpYr77vqglZFnC9SO+d/0QL0iwTZW/+ReNJxZxPPg6hg+kcY/d+3/OsvxUUosfCLGs58fFOek033CxUxavN0ho1synSsv40Nd9Yq6TpkJwqMjPV0/z1Gefiz//JIg47mwP6Y0CFEUY259MwnkeIGunBXQSgr9x0szyecTB8INnu59FPOhj+6jk1886Rl7E73xrg7EbYegyv/bVc2cijucFSZJxZ3uEoogm1Ee9AL0gRlEkFFUkPBi6wlzbxvUTxm4kHLEsFT+IsQx1SqrsNGwqJZ2JK9SAs02bLMvpDv1iIAq6UjQJJKEanW3YDJwQTZUxdJVW1cQy1GnRk+dgWRp+mHBjc8DmwbE7jcTbt4+mF+kPbx7SHXpEcYrjR1i6TK1iCNWvBBeX6pxbrD00wFnslNnBYexG2KZGbxjg+vFU4BEVaSEr81WSnREVW8cyFGxLYbZRfqT7i6bKVGyN77y/T5IJRzw/FOkeK7NVbENjYabMfs9FApZmyhwNfSTEQp5mOavzVTb2x3h+gheKyOIoSfnhzUN+6Utrp97H+u5oWoy4RZxwu2ERxCmKJAblhwOfSklHkiT2ex4zDfuhA2LZEk2oR2HiRXhBQq2kE0QpgyLiVpVldFV57GCsVzSiQKiId7oOFx7xO0ZOKGKkK8YjncGfZxiaQq2sMypcp09GPX+c+O77hwB87ursJ/L8Z/jR4Ze/vMa3ru3z/euH/Df/3+/zf/0vfxbtOS/uzvBsGIwDdo9c2nXruSK2d+oWYzeCXDilvXS+za2NAd+9fkCegWUotGoGqiKzOl8lyXPevXVUNBWgauvEaY6uK2iqjB8kvH+vx2KnIgQcPYf+yAdElOvRKMAyNcq2Rq1ksDhTQ5KdaQy6pauEccJgFLA2V6Vi68wUQ57+OCBJhbPG3d0xg4kvHD1bJdZ3x0iaRJKm1MoGP3j/gDBOWeyU8fyYf/OHt7m8Wuf1Sx0URRHCy7EQlhwOfNIkI8syQDSmy7ZGECb4YYppqARxItysdRlFEs2Eqi326lawqAssAAEAAElEQVTNolk1hFtQmtOoiM/rcOAWzkchC20x2NrtOrx6qYNlqoI4JkmszFUpWxp5npNmOUmSTxvxQZQ8ksivqjIrcxU29ydYhsqF5RqvXOjw1q0uatE9WntAVDbTsMSwPRf1T73ybAfqmYbNzCe0P/4kwA1iFEVGVSU0WcYoyRiagqUpwllOzos0GwlZEU4wD0LiVFIwuq4gKRLv3j3i81dnWd8ZI5EDEpoqUzI0kiTl+9cPaTcsrqzYjJ2IwSTg/fU+fuE0tX3g8O1re3z5lQUUWfzbk276JeuDhTtpltMfCYe6ZtV8Zifo/Z5LUIiU/CDhsO89lhR1eaXxsTjwdxoWe0fC3aFi65j6j1eNe4bPJmxTm563giihOwjwwpjdroPrxzh+JAjdqRho+pJI2PggCIG/RMVQSQvRh6HJ4txZtxiMA1RFIopFk1ySJF67PMP3bnQJwhRZ5iFn3QcxX6RlHos3lmYrwmXbVKcEDBBuUoNxiKbJDyXnfBSULU0QuQsnvE79jNjzQbAM9ZHn+jN8Oji/WOPdO0fkQK2kU6/UpoKIJBFO/XmOGDBmKRISuSwx0zBp1S3IRR1oGgrv3+sJA5f02JFTQZZEwlaU5MgybB/6U4e9G5tDSrbOqxc7aJrM4dCn/gGOf62aRU6OjFzUFWJ9mWlYU/Jgp2ETJ/eJ4lGaT53earZBlguxRZblaJrCas1CliVmW7YgXuaCbJJlObahoSoSy7Nl3rrVI89zqiWdn3ljkXZN1B+vXOzw5+/uAeKcoikymwdjSqbG7pEzrVFHjiCrH/fS8jynPxaOoH6UcNBzGUzCaYrAMcHJtjTSVCy0XpBwOPCmdXy7bjGYBEIkp8g0ntAt8YsvzVMvmbhhzPmFKrZ5f528utbkz97ZI8tzZhs2yyea+1mWcXdXpBZeWKih649u4x/03el66IcJ+z1v6ox9hk8fr15q8cc/2CHLMkFYsC3cQLjjGrpMkqbCuTEHRZJJpAxDV0n9BAq36LlWiUsrdRoVg8VOZSrWBjEc9vyY3tgnyXJMCaTi7J2mORM/QVYkgihFVkRipixBjsTnXpxj52DCTLPETs8jjFJB9liuM3RCjoYBsiTRnwjyQtnSMYoaOU4SZAk0RSHPRa0xdkM0VSrO1SLtW1dlSrbOl16eOzXo39yfkBUEwu7Ap9OwP5BkJdK4xb3pRylfeHGO/jjE0BWurt4/C6SZMJxSZOkjnUeeFLWyMU0fOsMZPguIooQ7uyM0Vebi0seTVLc6V+HGRp80zZEkYUr1IJoVk70jl2pJiNaOCaKP2ivHbkR/7DOchNQrBnOtEnGc4gUxUZyh6woXl+vTx8uyxAvnmrxz6wgvjJgphF+HA4+1+dpDe3OaZoy9iM+/OEd34JEjEaY5L67VWd8b4wYJipxjGsI12NI1vDBm75aLaahYpsqd7RHn5mu0i3PG0kyFW1tD/EwQYA1NxtRVTF0RyRm5RKUs1rjDvifeS5JxfqHKzqE4z4kei8L5hRqqKvPiWpOFVmmaQHIsVj0ceKiKzFdeXWDshvhhim2Keu84neT6vQFXV5vTdbVkauTZ/RlttSSIp4qST3uEAI4X0R34TLyINMsLcx1tmrSqqsJp+RhZlk/J6bWSTpbljFxBam/XLPI8Z2N/DDlTB+almTLKMxpihHHK9uGEiRcjS7CxNz4TcfwIsH0wYexFLM1WHiJetuvW/dq+rH/gvrc0U6JZNfBDlTQTqTSmodBp1E89TpKkh3p8w0nI27e7hdu9RJplUyf8jf0J7bpFxdbZ77lcWKxRsjQOeh5JmuH6EXGU4HoRYZTixwl1RUeWQVUlTFMjjTPSPKddtWjWTDb2x0RRyvaBS5bn6JosHLeznBfPt+iNfd5f7xNnORVLZ+xGyLI0FW+dW6hx7c4R+0cOUZxj6ipJkmFoEhVb3CvNmkEcZ7TrNkMnRpHFiapZNkASZ40kzbAMRXzGeY5hqJi6Shin1Moi2UOWRW/2cQKOME4ZTURN9OB306qZ9EY+c+0SIzeiU7ewLY2Vj+msMHJCdroOtbJxZhjxCaI3CgpytViT371zxJtXZlAUGS+IGTghRwMPRZbYP3JAkjA0BcePqZY0BuOALM2QJYk4SukPfVoNG0WSxF7W0mhVhRiqMVNlrqXg+bHgL0k5S3Nlvv7WLrWSgRfETPwYS1eYa5VYm68xcoKij5HRqll4QUIQpaRpxmzDZrZRplo28IKE/thntmGhFWZWJUMljkUvoWRoJEUvo1FVmW1YbHfFPSbLMkudEq4fUSuLmVynYbPbdadnBFWWcLxoKko8eWb6MBjaCe6MJM4UY1enbGm069ZHSkrojXzSLKdVNZ95fzzDGZ4ED87mTu7ZXhDz1q1DtvYnLM6UefF861S9/Uff22Jjf0yeC0Gm6yVIhZnL/pF7KjFk4gnDZSH4kJhtlR5KiTuG40XsHbkiLUuRqFhifw7CBMvSThkvP4g4yTga+kXyHuz2PGRJmr6Ou4Wo4vjP1+72ubzSIIxS6hVDJH4VryuKUtp1i6OhqGnadZOhc19coSkysiwXwjMJVVa4stogjjMaVZMwTKbiyqWZCsNJyHv3elimytfeWHrotY/dCD9MqJV1zs1XubExAI6NfcpTkvh+zyUveJZZljNyQkZuSBxnxGnKza2B4HN6ESuzlQ8UT9QrBvluztCJMA2Fl8+3+OGtrjgnPTDnVRQh6jyu8+fbJe7sjO6fLazTv+eTNIbqnKg1j7+3p8H6rkhcXJuvfWrpqJ2GhVvMyQxdofKciRmeBRMvoje6L2LeOph8JJPFTwOacvp6yQFVff6Fzm9cqX/aL+GpMdMsM3SG0z+fX3r+TLPvbg9xCsOTKM64szniiy893kDtcTgTcXwK+L3vbE4LhM2DCT//+ZVnfi4viHlvvU+W5azMlCnbOjNNG7MoMMZuxH7PJU0zNg8c9noeL19oo6kipeKXv7TKdtfF1GUsU0SRuUHMn3x/izhKOBqn5HmKIqvkiGFmtWKgKRLnlxpcWKwJtb6uEEYprZpJlmZcu9tjpzvm2t0emqagyvJ0yANi8LKxPyHNMsIopVkRaRKVks7WwZg720P2jlyOhj5feHHu1Hs+nr2oiszyXIVySSMMUiaeaKK06xZfeWWe3sgvHFskDnsBR4OQF881H1I9Hqt/XT+eDpCBqcJUliWWZitICPKoGyR869o+YZSwNFNBluHFcy1kWWJ9Z8jBwMcqmp6PmhM9qFzN8pw8Fe+nWTWZbZVQZfm0Y+BTzJt6I58726Ppa19+0PXmA57rwcHWo2KvDgce94qiWD2UeelC68dOyHFpucHICacK748baZrx/RtCxPH5F85EHM87JEniv/xbb/Bf/F/+kLu7I/7F71zn7/zKi5/2yzrDjxhHQ4/f/famSPKR4GdeW2R1/vkoMFs1C1NXCaKEaslAU2UWZ8ocDT3COGOmbp+KAzUUmU7DYuLFhJEgRqmKVDRqc3a7LrqusH3ocnt7QL1sctB3ubzcYHGmjCRJLM2U+MtfPT+Nc761NWR9Z8idnRFBnCJLMjNNk6+8usBSp4SuymzsjYtED5+vv71LxdLYPXJZnq3QrJoszJRp10w2dsfTxnaa5sw1La7d7aHrCpsHEzZ2J/zVn7vIe+s9gjDlO9cPOOy5wr23YrA4W0aRJJo1G12TGU5EbPJoEiFLYCAi8Ha7Dl4Yc2mpThAlbB86eH5CmmaUCpFKydJQlNN7pCQJZ+UX15qM3IjBOKA3ChhOQmRZJAuIQU5MmubYloaiPHrz/tk3lkS6CXlBpkt5+UKTg74v6qQHBjKtmjUlvR5/12f40eJw4LG+M2J1tkLZ1KhfMjCKWvp3v7NJkqbEaY4fZmx37zvjqLJwwKnbBkGa4wcRJ40q4zilZKjsdl2uWwMMXcYyVH7ucyus743w/ITDghw+GMHIse8TrYvLa+iEeEHCQc/j+r0+L55rPhXpKc/vJ7oBDGrhYwXHH4aHfu+PIIl1ebZCtSAl1MrGJ074OsMZHoSpq1xebfBv/vAWWwcTvn/jkP4oQJJE6o4biJTMD4MElCyVRtkkiFPKlsaVtSZfeGmeiq0zckIWCoGjJEssdcosdMr83b/+OtfuHbHcqXBh+YMJX6au8itfWWO366IqEocDn42CfHRxuU6zapKkGe/d7U8NDJZmyh+bQ7WiyLx4Tuyjuip/rO5PZzjDJ40kzZBkMUCTZJhpmOi6jITEzc2+EGoW6XJBlKHrGVImEUQZL59vTd3yf/dbG9M9N8sF6eE4taNRN4mirHDRvO+0lmdwNPCmfa8PGm7luYQsi//PCmHoMbI8R5FlISTVZK6sNHCDmJKl8cblNu/e7aGpCtuHE7773gEUpPK8SBiRZImypXN+oVaID3J+79tbU/JFtWRwabmGFyScn69hG/fv8b/2Fy5yYanKyIloNyz+wzfWp2mqMw2bTv2E2PTEVn5nZzSNtt/vuVzf6ItkPAl+/s1FOs2SeI3kHPb9E09x/0mE4F18BxVbf6rB4pW1R6+rV1abOH6M//9n7z9jJEnXPT/sFz4ivS/fVd3VfrrHHjPnnOt2uZfX7C5XpCBQ1IqgJEIiJAiiBOoLZfhBgEBIgkCAECAREOUlShTIFZfLdXf3ur33+JlzxvRMe1O+Kit9hnf68EZGV3V193jTM/UHBtMmqzorI+J9n/d5/saPOL9SRzlSn//43d2c2Hl3c8gf/ODsU93APk4v7xRfDaI44XDo88blNn/5zq4wQIhSRhPhUrvfC/DDBEmS0DVFkPMyIvLyXJE4hU7NQkIQkvwgRpFlojjh8loDEC6QW3sTfD9GkUFVFVbmy/yX/8p5Hu2OefvmAUM7YDj2GDthlggpUj4ebg+5vTEkTlLWFsqoisxco0B36PFwd8LUCTAMlY39CSVTpVbWubRa4507h4ymIWGUMN+w+N61BVRV4hc39hlNAxRZuMqfX6ri+BHff0LAASd75h912z7516WCzurCcaJImqbcfNjPh+fDqn8qYjzFtwpRlPAPfvooT3k66Lv88DmpWx8XzarFX/+Ncxz0bVpVi9pTxNmmoXJ9vcXECXjlYps0TZ+6V3YHLrc2evzygwPCKKFRMSkVNZbaJTYPJpQsYcp2NCk9yBLtZVnCdWM0Jeb2owHnlqu8erFzbG/WVJkPHoh1oGCo/M3fPIfjR2zsjXG8mJKpUrI0rl9oMp4K05WtgymKInZ824so+Krob/amVEs6iiIz1yzw/Zc6bB3YJElKqWBQKWoYmoobiJRhRVGw3ZC9voM8FIZzq3NlWnWLMBSu5nGcsN21sUyVG/d7XFtvUrCaBNm57dbGADdLFylYGitzZSZOSK2ksXVg56m+IFJEZliZL5MkKbYfUS9qvHVzPxeobh5M+StvrACiZjgYOLkz71hXshmnlP398et6Z3OQm53NzGaEcFjKjf0kScrJZ8L57jPUIWnK1sE0d7MNP8rB4BSfGR886PH2TTGrfP9ujz/80dqxPfvsYpVGxcxSup4/Ky2YOn/ww3M83Bmx25siSRIfPuizvvz8RJWdwylb+1NuPRowmvp06gUGE4U//FGLdtWiUtBy4rMkSyx3SkydiL3DKX4Y8+e/2kHXZDw/BGR0RSZJUu7vjNFViaKholgSBUvj7FKF6+utzPgwIIgSgjARpjpSkN++C80S42nAfKNAo2LwcG9KmqTs9RxsN2TjYEq3Z/Pe/R6qKhMnCcWCRqWoo+sqfhChqwq1ksFL5xpcOVtnr+eytlCiVrIoWhq7h7YQs6eifn+0PyEMEzqNArIE/91/8TqHIxdVVvjO1c5TPzs/jLmRJZEDrC1WjhkvVUsG19ZbnFuq8t0rHWwvYrFVPCYq/7QYOwH/6CePCLIUxTeudLiy9mKR914UzO7L/b7D2A6w3ZAPjT5n5ivcetTP6n2falFn7IQstkokaYKuKSx1SpQsldsbQyRZIoxSxm5IpyHRrlv0xsLRfq/nEMcigaJZM7i+3mTshkiIeqI7cPHDmDBKkQFZkbi4XKNVt+iNXfZ6DqoM9YrFX/veGTRVEWZrRT1Pz1NlCVkWiRsHfZEgJZI+EtIEygWNME5RFHj5fItzSzVeWm/yD378EMtUxZxNEu76iiJTLRnc3Rrmn1OlaLDQKlC09Lwm+DQ4v1yjVbO4tFpHy3qOn5YH83B3nKcf7PcdXsr4RKc4xeeNj5rN3dsa8pfv7BDFKRv7E1YXqrx+6fHeMrYD4iglIc0StVKQZNGreMLsrFzQubbewvHCj3w+kkSQu2c1nWUoSJJwWVdkiSB+dq0nzRyVszJTU4SxoeNFaIrMcOoxth8LMUa2n4sl1K7M9fVmnlKr6wr/6u9f4cNHPUxD42fv7wpjiVjU1NWKiZzN7gH2+lP2+2IN2T20URXyPqjr+vz8g11G0wBJkqiXzTxtDOAwS9wCIXK5fr7FYrtEEMasdMrH+nqmrvKdq3Mi5cRQub05wN2bkMQpUZKwuTfJr+n793v8jR+tPXMPTxLBT1EVCRmYbxX5w3aJ3thlvlE80ZNZX67SnJpISCgyeH7M4cjF0BSWv0RjmE9Saz6JX3ywl1/zm48G/I0frj3TAOeLRKdeoGBqBGFMJTMz+KbjyZ3sdJz+NUL04nF3GxUDRRIp5YoMleKLl2RjGkJQH8YJiixhWp9uLToVcXzJcLwoF3AA7HRtkiT5xGkcSZKyeTDJIhFj6mUDTVWoFPVjEeLVkpEf6CCLHHSC3AFH11XOPeGcUysLVa5laiQDF1VV0RThmtef+Cx3Siy1S6zOl1lbqKAoMkEYE8YJc40jDnySWBwGIw9DV5g6ATceHAISUzdkbAf4YYSuKOz0HAxNoVZWAAnXj9FUmV/dOqBoavlAOklSJFkiihPU7IB2Zq7Mhw/7eeERhAnlos5g4uOFMcOJjyJLFC2N0VQMvPYH4t9bmSvnCtPvvTTPn/xyE11TqZZNljtlmlWLtbky79ztEUQJYztA10RDZmN3yn7P4cx8mWrJoFE2aVye54P7PaZeSKNsPjVlYbFdzJMyKiWdNIUgTnJn0sHI53feWObulhiiLbdLuYsNiEZ3b+xi6SrLc+W8mJxh9vPM7hMkcRDvDl10VX6uw0azajKYCCKpZahPJdkc/f5RnDCxA4xvmPOpLEsf21Hx0+Dmo0GWIKNx4XNwjj7FV49GxeS//195hX/3//oL/pM/vsMbl+deOLXxKT4bNjOXbABSEf3+oog4QLjrF4+4XlqGSqteIE7SPII4CGM29ifs9oQznaYqHAwcSgWNhVaR3UObIEyIkoS5coHbGwM8P0YqCwc4xw9ZniuzvlzN97x6xeSdO4dMnABNU9A0JR+0vnaxfaxG6WX7j3DfSYiNFFmCrYMpQSTchysFnYSUwcRDU2QmfsjNh33GTkDbKDB1Au7tjHC8kN7QYzDx6A9dxnZA0dRQVBnL1GmUTUhTpl5IpaSjqwrtmsXBwMHxItp1Cysj2PTHHodDF8eL8LMDem8kRBQ/uL6YNTxKbB9MkWUpd/6YOV3MnP9BOAan6ZiCoQoX5RQWmsUTAtT37nbZ7to0qyZvXO7kdWQh27rOLj57EFMwtW9FjOfXFf2xhyRJGLrCbs9m4gS8drFNf+ILp0FFQSXJh28zyIrEUqeMZajsHtroqkqURILQnblDaZqMoUv87MYusixxebVOuy4ctP/i19sAnOmU6Y5cPnzYR5YkqiWdiys1eiORJFQvGyy2i9huiB/Gx2rQj0IQJXlDEUQ60afFQqvI2A4YTXxsL6Jk+RRN7Qt3uT110f1y4Icxm5mgf7FdOpbc8G3F7qHNaOrjBTG2F5KmKeNpwMgO0GThQvnkuvAsJEC1oOL4EUpmctAom7m71nyzyGgaIEsSpcLjdJ12o8DvND6+wYSZ9RL2enbupA3QH3k0Kma+jszQG3ufm4gDHu+jpzjFi4ZHexN8PyGJUxwv4s7mkHrFAlIqRU0IOOIUTZFJSEXijSSx17dFcq4XESfH99z+2CUIEtwgolW1KJgqbhKjJvD9l+Z5724PP4y5eKbGYqfExA7QVGEecndrSBQnLDSLx/bBgqViGRopIg1j53CK58dYpspw4udnh9FUuOb2xz5zjQIXz9SxDA1JgmbFolzUcbyIkqVhGmreu+uPPNYWKhRMjbEdUCroDMYign04DVhqP+5d7fftY4myr1wQg+YPHhyiqwpuLBLzykUVJROXL7dLDCc+w8mYgqnSG7m5IGM09XMivK4q+GHCWkYGD6ME242w3ZBKURjlHMXnXUv3R16e9JEmKW42BAfYPJjkrxtNAyZH+rlHMdcoMJr6TJ3w2Lr+RSGKEzb2JgRRzFy98IX2z1502K5wlfcDQaKKk5SJ4xMEMciC9KpIEqqqkKYJpqZkwuqQMIqzc7rKYBwQp6lIx0lTPnjQQ1Uk1harzDUKjN0QRZUJo5goTrmwXGO5U6FTL2K74hxfsFT8rTFBGKMoEgutEmGUYhoqthtiqCpn5sv4YUKaphSzpMjDkYuuyMw3S2Jt8WP8QKQGJWmCFya8+dICb906oGBqTJyAiRtSKxuYpsJmd8If/3KTN68tHHuOVxcq3Nl8vP581HO11ClheyGeH1OvGE+tAfwwpjd06Y08JBmiOD4VcZziW4Xh1MsFHABb+9PP7XtXCvoJh/4noWvKR6Ym9MeumNGFMa4nUu2NoUK9LAhEfhjTHbr4dw/4jVeWMHWViRNgOyEFU0XTJLoDB8+PWMrMy5JUkKW2DqZEUczmwZRGxWRsB2KNaZUomC4be1NMQ2W5XaJZKTCaDBlOPGw3oGBqrC6Wub81Jo4TzsyXWe6I2WF36CJJKQXT4Np6AVWV6Q1dMZxXZF46W8UNoswkLqRk6URxgoyE6yecX6oxdcOchKZrMp26lbsL39saYXshK51ynpQRxWItXpmrUMqccNeXNR7uivf38vnWMQLXSkcQ2ipBjGHIPNqf5iLPne7j+6BoaTmpVVGEi3m1pDNxw4wY97iXHccJmwdTHmQktEZFpEHNzu/dTAwSJwmuF1G0NFYXKifmlZ8EaSqIgUHoIknSaf/yS8DG3uN6M4hi9no255941j9Jr6xgqjSqprjnM/TH3lPXhjgjdn5wv4euyaiKxMQJSNKU9aUaIPoUv/v9Nf7811sA/NarKyx3Srxzt0sYiTQZP4hIEhldU0lSKBU0khQsVdQvG/tjwiimbOlcWK6hawrXzzV4926XNE3QFBnTEPONQkHnT365yY/f22JjVwi83rg6R71ksnUwIYoSRlOFOBHz9zRNGU09VEXB8yMMTUVXIvwgZpj4FEyN8ys1koScE7DSKXN3c0i7YTF1QiZOwFyjwOCRnyV0i5S2uWaJy2dbz/28x9PgWK+oP/ZOpGdbhpqLsD5P7B7YuYADxDzsVMTxxaBREdyNu5vDfK91vIj9vk0YJhz0HYZTj+HYz4REMrqq8drFOcIw5mDgYJkak2mArEiQwsgJhAFM2WBk+6gKlCwDSYL+SKTrkUrEqehJLLWL3HhwmJFsTcoFgyBOURSFNEnQVTl/HidOwPeuzrPfs7m9OcT2QgxFGKyNnOwsHsVIWYponKWEqKqMqkC1ZLK6UKFdt6hXDHYPHfYHDhJSLjjpjV2qRYNq2cA0FDw/plER3J7Pasw0I2U/DXGSsrU/wQ0iGhXzI9PqZ0YSINLGvSA63dtO8YUgjJ7sEx6fzb1zV3D0Zglt79w+oFEx8YKIds1iOPGFuCIzYFnplNntuyiyzKsX2hwMHPpjL+enfdy9JUUYNhyOXDRVxnYlVEWhURU8wluPBrx8/nEi+IyHMOsTtGsW79zpIksS37s6hxvEOeft2vkmP31/T8wiqibVgs77D3r4QcR8o8DqfPlY/aHrSt5PLBoSf/nODoOJj6HJfO9qhzBO8jTR3shnr2cThDGLzSKVkpH3Qe/vTnC8KBer39sasne+lfdKHe/xdYhjMeN5VopFrWyw2CqhawqGqpCkCe/dPczXiihJGE58oiShYGjs9VzOLT39TDayAzb3phyOHAqmRqtucWWt+cyenetHeQLGcqdEuaixN7BREzk/Z31Z+LRz2c2Dx+ccxw3pjryvLBmsZGnwnHTZbxpKBWG+cGdriKkJc7oXDb3R8X6JBEydmMYLPq7eHbgf/aKvGaZOwIxml6Rge/Hzv+BriO9cmufdO4ds7k+plQ1+69WlT/V9TkUcXzJMXTjtzmLuK0X9Ews4QCRZ7PccwiihO3CIk4RW5q78JAqmmos4JEm44oAYuimy9NTDTLNqMdcoMnWzWERDxfYiKgWVTs3izFz5mEDhtUsd0jRFkiQGE1EUJrEY6FSKQjk/mgZ8eL9PksJ44gs3a03GD2OiMBaJHFUDWRZuf92hS71scvNRXzjRFHRG04C1hQqaKufuHVGciCFt9lRbhsrDnTG9kcth32XzYEKnUcDxIsZTn00nyA+EQZRg6uLzmW+U+Nu/f4XLqzVKBRPHCyiYOrYbsJsRU8IwZmQHDCc+UzdAVWU+eNjn8hFHvavnmqzMlVholcRAa/YfoKsymqpwbb2Vf16jqSiKZ2Y1lSyS9o3Lc7mDzUy0MnECHuyIpumYACTyCOUZLENlgH/s93ONAmsLlY88uMqyxMUz9fy9xVmz+OjXWYbKOHPf4cj9dIqPj7du7gPiufksTe1TfL3ww5cX+avfWeGPf7nJv/cfvc2//2/9zmkz5luEJ90BqqUXu8JvVEzWl2qkmYjS0BXub48YTX3CQDiBn12sYOhK1qBNWFus8vL5FjfuCZJY0dJQFVmQRC2d77+0cIJAEccJ97YH7PcdglBEiF9dq1OvWCfcPQqGyjgKqJWFI4YsiyZyq2pRMBT2+y5BPcbxhPtemqbomsr5M3UO399jYosI0WKsIwG7PRvPj3A8saeZhsLESVhsCUcMWZJYqZTZ6dmszpcZ2wELrSKqIjO2AyRJ7NGmrhKnKWM7IIxjHD/i8mqdq2dbRLEg3S62SnTqBWRJQpIe7+txnGDqQrjiBxF7PVsQ8uOETqPI2cWTe/f97RHv3DkExJBaU2VevSgaT7Pve4qvLwqGymgiyI4pojb/s19tUS8bqLJEGCSQpmhZbZsgXAcMTcSYN6smczUD09J5/+4hmiajqjIlQ+Ofe32F/8c/uplbYNx40AeEC8gPri/geBGjqY+pi/ScqRuye2hjexH/wm+e4/3FQ1xfHIxVRc5daj4uNEW8lyhz1fksNaKqyLx0rsmHD4Sj3dQNubM55JULrae+r9N7/8XC3c1hfj6dOANevdj+Vl+/3shlc18QJ/xApDCFsSBjJ0lKIkukmYtSIguSb5IIp/6jTqwzyBI4fkKtZKIoEpahMNewcjcgWZZ46VzzxDnvafCC6CPFXE/2IGbO/oauHDvnfhGkgRcRaZoSJ+m3+p7/tiNNhGupHwlTE0HuFs/H2I4oFwziKCZJYlxf9LukFPpjn/2ecHD0gogwmvX0wM/2b12VGU48kAyaFRNJkujUi/wv/o1LRFGEH6bceNCjUdHRFEXUr5Ho+0yd8Ng+26kXKBgqSZLihzG7PQfSlLEt4/gRhiYTJ9AbeXlUdHfgsLk3Yb4lzGVsL+D7Ly2QJCLL46ib8tE1wdQV5hoFakUdRZFQFRnPj0RyhyJRe8Ywr1GxaFRM4kT0+M7MV3ntYockSZi4IXc2htnnKoxUitn5vFYx8mwRSZJoHBnqaqr83DUySZK8l/h5wDLVXPAmy9Ixx/JqychJH6oqU3xGcoqqyFw9+/HW9c8DD3ZGmXsxTOyA6+ut097gMzDbC0EQI4Os/x1Got6P0hTTkFluF5g4USb6EK8xDRUrTTkcenznyjwPdobomsxOz0aVZXojL6sZhLlTqaCRJirtWiGfNaiKTLVsoPYmtCsW6opCFIV0GiWSRDhO1soG1aJOwdRo1kwOBi6eF5JK8MrFNpah8v69HiBSeObqRX7m7aMqEqqiUi+bFCyNkiUE1yVLI4gSKkWNmw8H9EYe9bLBX767Q6WoUS9byLJEuaDz+pF5wkfB1FVePt9+7utlWWY3I7PByTTsU5zim45SQT92Jq98DXuTQgypEoQxrh9RsFSiOMXzI5I0ZTD2KGeOvjcf9nn1YgfLUNE0BS9MCIIEWRb79WAiyFXb3SlBGHN/e5Tv7TcHAwqGiq4qvHe3iwRZ4ia060L8GMViPbEMTaRqqCqXVuvomoIsSSiyhJ+Kut32AiZ2yGsX21iGRpjt3ZIk4QYRf/jDs6iKxC8+2OcXH+7h28Kk7uKZGt97aZ56xSRJEu7vjNjpTjF1DSR49+4hB32HFOHQrWtKfv2SVBDUZ7XBhZUab15bOGYKOJvxqqrMKxfEGhnHKbceDYVgEDGDPoq1hQq1LH1UliXOr9RJ4hhNU5BlOT+vyBJ8eL+Hk82yR7bPytzjWWRv5KHIIpGjaGlcO9fE+oyzEE2V6dQL1Mvi/ZUKp7OVLxq1svHYeFL6fMxNdE3cR0maIj9HjLO5P+Gg7xDFCf2xlyf7tWsWfhgjIYQSb1yZ49WLLRRFyeepqgLv3z0kjBTiNEVJwTI0ymWNM+0yhqZkScehSPyxVKolkygzoLizPaJTL6DIEp4fce18k3rJ5C9/tU0YJ7xz+5A4ET/Ln/xyi9/7/grlgsHB0CHxY5IkJYjEs1GydOI4Rc+SB6Z+ShiK58LUheDj+hFOAMD1883cPOfDh8I5fWNvwtQNURTlubX/UVimesylvPAl1uS1inHs364WT41xvijIssSFlTpBGDNxQlKyOr+kMxj79MYefhiTphK+HvGv/v6VfJ/Y2BvjRzF7hw5RJM4hfhBne40wfrl4psZwEmBnyfCyLNEdOuK+1mQkSQg1r55tsdubYukidWa+JYSN5YJBuegzsQN0TSEIY/78V9uMpj4HAwfTUNk/tJEUieHYxwsiaiUNVZEwsj1XkmCxWaRdL3D5bCN3tVdkYVRaKQpT1M2DCY/2xvRGHrrmsLZQ4cKZGrWSkQmrnu4GHkUJSZJ8aof22d643Z2ynyVrjKcBlqE+15zIMoQYFURv45OkeZ7iFJ8EYp4nH0m8OH6vzzcKvAv53qyqcp4SM54GIiVHU/K96ndeX0VRUlRVRZElHu6McYMQXZGfyk97FiRJIoxT6mVhFhlnwsM4TlEU6YTI897WiLHtk6ZkfLSUuUYBSZLoDj2un28d47z94Q/PMrY9KkWT//RP7nDQs0kRfcDXLnWol01SOMHHkmSV33x1iSAI0TQVXVNQI2GsIUkSD7ZHuSB1Ygd898p8/rXtmsX9bWHGLAGGruZGJ2M7QFGkvA5SZFns1U9g9rWyLHFuqZpzAXZ/MqVSNCgXNCRJ9EYDWXxmQRgLgd2T3ysW6a7Dscu97SEgjGAe7IxPiCvTVPAWZVni1qNBfr8MJ8J8cKlVEp/1wHlmL/brhFpJF+ZHiDW2Wvz6nX+/qfD8CC+IX7h75ig6VR1ZFmnoIHqkjW+AefnqfPGjX/Q1w8Pdx8YCSQq3Mn7LiwTbD3n90lyWAqXih58uVfR0wvIlQ5ZlXj7f5C/e2UWCY8rST4JZnKyuKtx61McPY9p1i//W33jpxGvPzFeQZQk/EK+ZNUBnqRKXVxsnhm1vXJ7Lh4clS8N2I0a2j6GpOF6EaZw8ZMyKpUpBJ4wTeiMXXVNI4hSyRl4QJSRpSqGgI0k2EhJlS6daNmhULeYaBcoFg829MbYrXHgHmWOxOICm+FHMzuGU4dRnoVnk8lqdS6sNdg+nIm6+U+JXtw64tz3icOSSpCm6ptCqWcK98NAW6SRZQ2h9qZqT2SZOyNu3Drm9MciSQQx+cH2BxXaR4cQnSQpMnIAwjEVaiaFStFQKpkapYDCa+pkjeYmtgwk7XZu9nk134GLoCtfWmznRcvZ5VUsGv/XaMnc2B1i6yhuXxd97fsTYCdg+mBJGCbWycYIk7GUN1KOYOfg5nnABmDVpP8kgV5IkHuyM6A5cFEU0B2bfZ6VTRpYkXD+iVbOEqvQUnwhvfSjiib9z5WRSyylebPx3/kvXef/eIft9h//jf/Y+/4N/+bWv+i2d4kvC2cUqrh+xk6UjvOhJLGsLFVRFJohiOvUCpq7SHbps7k1I0hRNlSkXdJJkwh//cpskSfn+9QVev9Th0mqdre6URtXMxA8hC63iCQHHo70x+z2H/Z6DpsrIkkaramEaGrWyccLtZn25xtbBhHrFoFUx2epOqRZ15lvCUVxVZCxLY325RhjGTF2xz8uyTNHUmTg+SHB2Ubj67h7aPNod4QYxli6ay9WCjqHJ9EYu/bFHq2qhKiIyeW2hTBgnpCkstItUiqLptN2dsN+fMpp6uL4g4FdLOmGUcHd7yGDsEacpBUMlTUVDxdBVHD/E0lVkWaJoqUDKcBqwdSDqmTevz59ISwPhHHwUUyckjBJuPurjehEFU+XyWuOUHPo1RaNicuNel/E0wDQ1vCBmbIdYpqgph9n1bVZ1pk6M54uBXrWkYzsB79w+FHG4kkPRVIkSMS8rFFR++sFuLiBWVflYZPhCq8Sb1+f56Xt7VEt63pQIo4QoSojilEurDbYOpiRJymK7+ImFprP0j52ujSxLn4tbixc8dlsQJNLkmIgjTh7HRBu6wuW1xqeONz/FlwcveHyGSRJBTPk2r1lH73ND1/ju1Tk+eNAXw3tJ/H2SSBRNDduLCElRVIkoOqngkBBGCWGYZJ9zyv3tmHatwH/0j28ShEI8+Ob1hecOW7wg4o9+9ojRNKBc0Pnd7688M6q7WjI4t1SlP/YoWsK9EgTZ8uKZOgcDB11VWP6SHZy+jvD8KDOpSKiUdC6u1JFPRf3fOhQLKg92R9iOqFV/45UlMfSXoFbRORg4REmKpiqUVYkkFUTko0RMU1dZ7pR4uDfG1BQWWiXu74yI4gTLUGmUTUxDOC3Xsz6SqqrIcsLuoc3DnTFFS2O+WWCna5OmYqAarDXyfbZZNbm/PRKmMTWTrf0JfhCjaTKkKTfui2b6UqeUiyOSJGXsBswj1oGiqQn3fDekXjaxTPVY724GXVMYjD0+fNhH1xR++PIi793rYjsRV87WT/TCZujUCyy2itzbHlEu6sw3C7x960DUQsrxZ2u+WcTQRMrwtfUm97ZH7Pcc2nWLq2dPnt2e1kMbTX3+6c83cLJ+2F/77hlU9bPtX+eWqmwdTAmjmPlm8Rip43deX+Ltm13CKOHaevMjCSdfhoADju9baSrSD05FHE+Hqasstot8+LCHpsjYqajTZSkbnCMIDRNHOLfv9mykTGKkqTJRmLBzaPNgd8Rco0iSpJQtnVpJZ2Nvwu1oyGDkoasyZGdNRZYwM0MEWZZw/ZB7myOQJCxNJk6FC6alq9QqBu2ahaErzNUKTLyQqT3izuaQRsXk/FIt72Nv7k8Jo4j9vkPRUhnb4gzeqOq8d/eQCys1NFWmO3RZaBUpmir/6KePcoHIcOLz0/f2mGsWOb9cy5/rT3rfPu/1aZqy2CzSG3vIWTL1KU7xbYKpq/yVN1a4cV8kVb1++dPNHr9IzJxRR5OAzYMJ1ZJBp25RNDWW58o82hkhyxJjO2Bwv4dpqFxcqXN1rcHDnRG6pqCkEsWCiu0G/PLDffwgplrW2T20ieKUhaZFmiYiHcj26Y2EMGR5rkQUJZxfqfLOnS6Pdsf0xx4lS0WRFQ5HLhfO1NEUQYCba1jc2xbpGo92J3hhTGlL46+8sQxSjd7YEyYs9YIgrUYJBwOH7e4U1415ab3B9fOt3P22P/L4xz/bYL9nUyka/Mu/e4GNvQl7PYckTbEMlXNLFaKMQNuqWmKmiRBizEhuM6HF3a0hh0OX3Z5Du2pSq5hcXm0QxwlvXlvg3uYQRZF4/VLn2DU4tyT6q1GcMN8s8pP3dtjYm6CqMt9/aZ5xlpRi6WI2PDt1VgoiQWDiBhQtja39Cfe2RyRJKs42Z+p81lVXUWQurdbZPbRRFOn0DPkl4DsZF2A8DTi3VKX9FFd5xwtJU46leD8NaZpyZ1P0wu9tDVFUmWbFpPGMWn42327XhcBTVWTkhnDar5UNetn5YDDxSdKURsVkbb6Cn4m2SkUdy9AoFYRTdZIkmLrGyA54/WKbGw/67PcchlMfpV3ECmP07KwzcysvWhq9kcvPb+wzGHuM7BDLFOlpggwuoUgQhDCauvSGDkXLYK5u4QYyl1ZNwihmv+8IUqwixBcOUd6XmfUpZzXM4dDhj9/aYmL7gMTl1RopEr/56iJ7PQdVkT9W7Q/C9fn8co3DoYtlqF+q+/Rco8Cb1+Z5uDOhUtJ5/WLno7/oFJ8JrVqBBzt7xHHK1XMNOvUiQSBSjie2j6ELU88oAT07pnpBjCrLnJkvk6YJ212bNBXGYytzJRoVk2atwHDioyoSNx/2ORg4+H5ElEK5qLO6IPqH5YJBu27RG3m8dLbBa9k1L1kqhi5z86FIChlOfIZTn9E0wPUjqlnvV0kk/Chh6gTZWULCVyJajQKLzSKDaUBv7LHft3HckL/2vVUkSeLyaoOtrjgzR0kxF56FWRKMH8Rs7E3EcyhLXFipHROkbe1P+GfvbBPHKeeWqvzw5cVP9Ll7QcSthwP8MGYw8amUdJTseXb96LkijvMr4rw/Swb7Nve/T/HFQpYlLmWzOUmC5bnysb//jVeX+On7u+we2sw1Clw71zpmtPLmdZHimyQpr15sc3W9SX/soipCyPX//se36I99dE3mD3949mOLOEAYUx0ORf/g2rkmUzdkY39Ks2ry+qXjiVOHI5eNvQlpmlLOxLwTRyTaLWTirtl+Op4G/L/+8U1GU59qyaBS1PHCmDBKqBZ1ukOHg4FLmoqkiaMJ4UqWjDpxY8xECDNSxJpZNDWiSJjRJElK0dRYmS/nNfFyu0QYx7x9q4tlqFw/X+cXN/aZOAGGrvKjlxcY2wFTN2SxXcx7pjPsdKdsHUyRJNETrJdNHC9E10Q64XzDYupGlCyVxU6JMExwg5iFZoGidXy92dgbs9cTa1+SpNTLJp4fnZgPgxC23NkcEMcpjapx7PrbboRpqvna5vkvhgv+D19e5O2bB3hBxKXVRp5sfIovHoK7+/h5PNorfmGg6KgKBNmjoKkyQRCfMJn9uqNogH2EOnT57NevD/RRSOLjvGc/PMmD/rrD8SI29ye4foSmyJQK2qc6m51OWL5kxHHCyA65vi4Kkv7Ye6rL8tQRTcxayWChdfLCNmsmO4dTfn27ix/E1ComSQJ/8c4Of+u3z+evG4w94iRluVPOiVgHA4dxFqschAnb3ekJYqWqylxea9CuW6zMlRjbAe/dO6RRNjM3GBETOotikyWJKE5FY2XkoikyS3Nl7mZNvCRNSUlRZIlSpjovFcRA2Q9iVFWmUtRp1SziOOG1S3O8f/+Q248GmIaKJItmSpKmdPvi/QulsHAKWZkrc2FFJEgMJj7doWigFkyVMEqYbxSolg0qJQ03c/UZjj2iOMXxIlRFpmDqqIpo/hz0HUoFHceP+It3tqmXLeabIpnk3FKVRsVk42Ai3MpKBs1aAdsJiLPISD+M2enaANzeHJKmKQvNIu/f63HxTIPuwGb7cMq5xSrzzRIrc2VWjhTTez2bD+732Dm0KZgqy50yw4lPtXTETUkib+IehSxLLHfKJ/78KGafU5Kk1CvmCZLeLLZZ3LMpG3tjrmX3rCxLx97r54nZ/fq09/RNwV7P5v7OCFniRAP9FC8+ipbG/+hfeZ3/yf/+L/mjn2/w3avz/OD6wlf9tk7xJeHq2eZTCUCfFUEYM8zc8590T/uioChy3pydwQ/E/gkzd4ga/59/cjt3Dn7n9iG/932bVk2QMgDI/h8nKYdDV7h5KBL9ic/m/gRdFa67tzcGVEtGLi41dIWCqdIduCJRzAtz55A0hdcviyZSd+BiuyHNapSJHyQUGSJJxtQVojjFtkOiOGZtoYqhKwynoUjrGjqoioJEQhCKJurUFQ3kqRNiOyG+H7HULnNuqUajYvKT93aIopSrZxtcO9firZv7TJyQva5LnMBcw2LqhtzfHtMdesIlI4g5HLpcOdsgilIcP2SxXWJjb0LZ0qiVTUxDpVW38LKY1ShO2D6wn3pt1hYq3HzUJ45TJEn8fq9n43riQCOitJ1PdTB42r3mBRFjO6BgqM9tgDheyNQNKRf0U7f152Dn0MaLEixTxfEj/CClZKnIkkxv7GMZGqoCEzuiXTeRZYWJE9AfCZGQaBxKqCqkKBRz18oY140QJlsSmqLkdWKSpAwmHvWyye//YC13fnR94UhdKxv4YYzjiabiZ3GWLpga51dqn8dHBYhad/fQzr63esJRrjtw8sGrH8TsdKecXTwpfjrF1wutmpW7yZcK2qdaM2b3NQhx1JdFXP0iUC8b7B6K5EdJgotnGlxZa+CHETcfDEhSnyAKCKIUVQFZknNX+yehqTKyLFMq6gRRjKooaBLsHk4hc8CUJZ2/fGcH1xNx6c2nnCk/fNBnlKUvTpyA9+/3+d7V+ROvm6FVs556Nq2WjOc6eX6c63i071Avmy+06GGrOyXIHFjG04DeyDslmH4L8Ysbe7iuSJlwvYjdns3FMyLd9dGemTvikabUKiauHyPL8NK5Fl4gXK5MXaFgarySGcO8d6+bJ+AZqpINH8X36TQKbO5PcNyIOE0YjH1MQ0GSUu5tjShYIm1D1xS2u1PubQ84M1cR7timSpqmdIcuUycgiBLUQBI9DVmCVKwvC80Crp9QKepcXn68D7frhRM16YWVx0m2E0eQOvwwZvfQxtQVZFnip+/v8uqFxwOHsR0cW0se7Y7x/JhSUdSnr2Svfe/uIe2aIJ45XoSiSCiynA97j4pBrq+3uL7+0dcrToQruCxLvHe3m7tRHw5dbm70masXUVXphAD940JVZNYWnj78Lpg6v/Epo7e/SLSqFpuecMgyDeXU3OU5uLs15MH2iME4oJwlzXQHLqGUoABhmCDJEMUpvbGXn7dsN4Q0RVUlDE3loO8QBBHLnQqDicvU8Zl6EY4X5ulmIuHapFbW2evbPNwdkcYpP39/D0kSBIW9gTgnBmGMoas0K6LPf/18i+3uFNyQ4dSnVjYoFTVu3O9xZqHCqxc7KIrM1A64szWkYGhUigZ+ENOqFXD9iP7Yy3vHM3z/pXneuXNIGMXEcZITCt650+U7V+aOkUH9MGY09XM328HEI4pSGhUD5WOSnXRVpl0vYGTnmY+7x34b+tGn+PZgrlFgrnHmq34bOQ6HLnuHNrqhMN8oUinqrMyVqVdMbj7s506wl9caFLMz/61HA+JMGHB3c8ho7HN2uUqtZLC6UGbihPhhRMHUKFsa/bFHf+ySIsiUe32X+aYlXDXTFMcLkUlpVE2urTeplQwhoIxjIGVkh1xcbVIu6NhOyJn5MgVTRULUOns9IQ6pFHRMTTgqijmggqwp1MsG97aHbB1MeLQ7oVYyqZVEb3U09dFUYRb3F+/uMLEDCqZGFCfc2RjmiVxJkqJlNYHjCQKMaSisL1WPrYGDsUcYJYxsn829iejluCHdNCVJ4S/e2WY49khTWGwXubjaOEG811Q575vsHk7Z2BN7ehQl/Pmvtriy1sTxxH5QKeloGQF9qV1ioV1kIRPr3tsakmSpBiJB7WknVIHZPFIIh59/pitan29f6duAKBY1vpaJH2b93Y9yiAfBBbiy1sD1o6e65253p2wfTAGxrz7Zc/OCiEc7E1RNkAd3usKUMEnBUhUqRYOdQ/sEBwFEH2FsByiyzFK7RL2SicjjhFrJYK9nM7EDHu6MMomrRBD00VQFQ1NoViySJOFcliZ+Z3OYf+/bm0NBaETwE6IoydMFFlpFzi5UebAzZGt/ih/G9MceKSJKdDwN0DRFpP7K4jM6HDlIpARRiuyHSFKB5U6ZxZbgDQTRAXGckCSC9K4qikj/S+Hu1gDLUDF0kTjwZ78Sz+nh2ENKoVOzmGsWWV2ocv1TGH82KiaNyqc7i3xWnF+uc365/tEvPMXngu3ulE4mtBqMffwwZnmuzBuX29zbGgFwbqmCrsrYbojthVQKGjsIoWCcQqdREIkVCfRHPq9d6mDqIlXP1FX6Y4+JEyLLMqYsMd8o5EafvZGHpsmYukoYp/zJW5ssNIv5PQ8pURgTxQmOF1ErmzjelDhJ6TSL9IYuYRARZg78SBJRIpHEKWEMo4lPvWwwdiL+4U8e0qlbnF+pM5r4eL4wcGpWTIIwYeqGVIpGlm4h53vZ1Al4984h3782nxskvHXrgDgWe9T97REXVmrHBGszU9WSpT01OWj30M7TM1VFYpr1J1RV/kjXcU1VvvWzim9SD//zwmjqE4TCwPdJov1nwfNmc7++00VVFOYaRXRNZvdwSivrn+mazMvrHZbbojdVKepUixppKrh9Nzd6uflcEApDwQsrNQ5HbtZrM/ngQY/JNODK2ebxNMBsD05SwS18tD+mZOmsL1fRVJn37/f5jVce97384HFN6Qbx44jvVNT5jhfwaG9CpWjw3t0u/ZEnEr1GHlPHF4nFqthvByOPaln0BLYOplSLGtuHwlTS0BWQRL2tqTIFS8yo0lTwH2oVg1/c2BNikpLGSqeUiyunjqjnX70g0uU3dqZ5XyYII+5sDDi/Us/7mP2xl89Nwijm0e6Yvb7zONHO1HC8CEmCetWkWjKRZWGs9fL5dj7/1DX5WF3n+hF72YwtSVKiJKVWMgiylK71pRo3H/Z4sDvi6lqTiRMyngZEsTjLFIzHTvGL7RJ+GOXijafNeb6OMHX1EwvzTvH5oGRpmIaS3zPtF+SeOQrbjgjDx7/3w4Qo8tH1k6L2rzPCRAYei7IGQ++rezOfEsWiiRM8ft+dxouXJhLHovfk+BG6IhPFp0kcLyyeJuD4+z95mMfdfvfKPJfWnjgEZ3GAsiyRSmQFjHSs+TVLUgAoDRyurDWQJEk0H5/z74Nort7fFgc+CYkz82X8QBQCpqFSKxvc2x7RH3n0Ri6uH7HcKWPoSr5AiyhHgzCKkZAomTrtukWzamEYKiQpw0mA5zsMRh4HfQc/iBlOfOYaBTRFplUzsUyN4cQTP2MKthdyd2tItWTwSBnTqJq5qOD+9ojeyMP1QxRZYm2hiqpInF2qMt8sEoQxZ+bLTOyA/b5NmA2KXT/KCyk/iBjaAX4o0kT6nSJLrTJXztZZ6ZSwDI1m1aJWNlhfqrK2UGE08fgnv9jICZU/ek6x8MH9Q/74rU3SFH7y7i7/8u9eOiG6eOd2l+7QpT/yOBgktKrCRVFXFa6da+ZK3k87KH24O37qvXHkpjj2+i/jQHX0fi32Ha6ebXwjD3I/fncHgGvrrc8lmvgUXz9cW2/xL/3Oef6TP7nL/+7/+2sur9Zzx61TnOKTIoxibtzv5Y4IawsVOo2v5vDQrhdQFJk4TigWBAHlScicVKen6WOn/IkjkrDqZZPN/Qln5sqUCjqtukWrYtGum6wvV5nYIYOxz0HfZbdns9wucXtzgOtH6KqC44W8cbmDrMh06hZ+mPD2zT2G04D9nkOjagrCVgrthsXILWVCVJlKySAlS/qWAEkUVbIEpKJK6g4ceiMXVVGYeiG/F5zh17cOuLs5JM1qkWvnWuz1HEZTn6kb5sJSxwtx/Sj7M4lK0SBOUqZuiJkJXtIkpTtw8Hwd24uE83KpRqtewA8E4axaevqQrV4x+cMfnmW/79CsmjSrFpv7k6e+9pPgafdapaRz434vb3KvL1dPxNuCINbdetTPG1xX1k4Oib/NcLyAG/f7KIrMnY0Bb90UDtFhGGOZKs2qSRSnSCloqkSUpsQJeF5MIiV4foDjPx6GR0lKEoEsxyR2iqKIJl137FGyNOJEEBVfuyDEorc3B1n0sGiUv3S2ybnFCnHm8k2a8sGDHmTX76Vzza+NEGdlrkylqBPFCbWnDPqfrBW/ibXjNxGr8xWqRYM4Edf101y3o/f1oOK/0CSPgqlxbb2J7QrBYsHUuL89QlMUkFIm0wA/c38SMduP5xdPIkkTLFM4XvuhIHPLiixSp7LnejDxGU19ojihaGq8dqnNuaXac9/jF/Vk3d0aMpyIIVCv7OVE9idfMxiL11RLLpdWG1/Qu/ni8eTneLpkfTsxnvqEcUySinhoRYLzKzUk4O7mIBdXGpqou7OqlThJ2OlOGU0D5pqFYwO1oqnRqpr4YUKtpCMrInFCliRu3O/lgkjHDelP/GP3XtFSkYDB2OH/9J+/T5KAJG2znBGpQIh1FWXWTUwZjP1cSKYoEoutEpIk/uTMvBBOSxLPFTYc7TuObZ+9vpMPanXt2UPst28d8MH9HiCeobML1TwN42i/U9cULq3ViaIkX1s/KY6eYwC6mePn7O8e7Y5xXCHqmG8WOPMJnAhfZCy0ihQtjTASKcUfl2D/bYMXRPRHHpIkxAWOGzKYeqSkSGnKYrskXGb9mMFEEG7PLlaQkKiXDeYaFqqiEIQJ/czR+mc39oXbexjTqVscDF3SJCUIEyxDIQ4T9ns2uq7yD/7yIbu9KQd9F1lGkKUywUgQxqzOV44lv0j5/4XgYzD2UGSZ+1tD0uRx4SFLEq2ahapKeEFMs/LsQe31821aNeHWO5x6JGnKxt4ERZW48aDHxZV6Tja9ca+XD7gMXcbPrPD2+iovnW1+LBGnJElcPFNnMBHCq48jrnrW/OQUpzjFJ8fh0MkEohovnW2w1bX5s7e32OvZSMDL51u8crHDXKNAydJyJ15BABFnlYtn6rmAYOfQZvtgSq2k8/MP9imXdAqGRrlgYOgyi61SXuOARKWoCzKlBIutMrICN+71mLoh3aHHxI2olXQ+uN/noG8LN2FVgTRhvlkQQrMgYm2hwvv3e/RHYt0yNIV6xaRcMHLilSRJ7PVsGhWTH7+3g6YK5/HByEPPRKmOG/JgZ8wkSw598gwnyRLVgk6zahCECfWKyUKrhKYqT91jH+wI87nN/SluEDI7IEpITN0Qx4u4sznEDyIkSUK7IxOEMctzlacm/T4Lw4nPwUAQwhZaBV6+UEZVFFbnj88wm1VLEMbilKKlPtddfDa3BSgXXC6v1U/X2s8JcSJ6ejmBqm4xmPjCCBBYW6zkpO+n4WDg8HBnDAixwrVzzWP1wU53mv+6O3BZ7pTy5L4gSviHP3nI2A446DvUywaGruaJYDM861q3ahamruCHMZWinqVZQCJJgMR+1nff3J+QApauUrBUVjplZFnizFyZMIq5tFqnN/KOiTg8P+LR/gTXj4UxVVbL9EYe79/voSji2Zm4IWGcpRSnUDQUUlIunKljagqbB1NkUt67e4gsQ8HQIUnpTzyQUpbaJXRVJk3JU4/LBZ2ra2X6Y5c7myMmTsCNez3Wl2u4fszu4VQkCWQfy8w06/SROMVH4URPKfv/cqcsZkzZr4cTn9ubAxw34u7WAEmSWGgV2NjTSdNEPBcZcff2xoAgTHKTEduLWGoXkSUJSRK9+WrJ4OxihThJeOdOl4d7Y/wgomzqIAsip+MJcwZTF2fvs4sanXqBtYUypqZwcbXBP/35Q7ojF1mCOEqJoxhJhmHW85u6IV4QCUMGWebv/Oldrp1vczh0GE0DmlWLtYUyr12a4/JaHUNTKBX0rG8Cw6nPQd9B1xRu3O9xbb15LNE7/9yOfJCOF/LBAyEqRYJLZ+rP5W6UCzqdhkW5oFMu6MfWy1M8Hbc3Brm58KDqPzYA/JZi99DO57mGpvDSevNLSWjp9p287yB5wjX/6tlGvgfPatk4SagWDW4+6uNk68pg5FMtiuQGRZEIw5h/9LNHkIqeoGUo3Ho0BOAXt/b5b/z1q5SyxIgoTtjvO5k4TCJKYvxACDqQYOUJjtxRHoJpCGOZIEyQJJE4+l/85UP8jENpeyEj28/SAGChZdGyLPwwpl6xkI98rkmS8Ec/32SaiS0aFTPnAwAULI2raw0cL6JU0PjwQT9bB09uznGcsLE3OZZkYegiYbhcfL7JYZKk/Pp2l7Ejnomdrs3rl8UcN03FdYI0W6dECtmZuXJ2nY6Lfp58Z0VT5Q9/tMZez6ZaMri3OeTv/Pk90hT+2a92ePVCiyBLdu+PZX7vzdX8fFIrCx7DTID+ZRmKnuLFhaLIXD3bfOHvmaNH9Od4EnytMTONm6E7fLpJ7NcZQXA8ecP1wme88uuMLMkREN4An+6G+nqwc75FUBSZ1fkKG3uiKXJ28eSAb/vAzgUcAA/3RidEHL2Rh6GpvHKxw2gaEEYxjarFb722iO2GbHen3HzUp1mx0FSZqRPiByLevlk16Y9dRtMAQ1dYbJ9UMfVGjweTsiyhyTKb+1OmbsjYDjhcrKAKq19GU5/DoUeSpDSrFmcystXUDZAkCIIY248oFjQmdoipq7RrFoORz2AaIEsyU1fEsY5sobKfOAGaqjDfLLDXsylaOnGSsHs4ZeqJnyWKRDSq44Ts9Wzev9djY2/M+nKNds1i59DG0hUURcLzI0YTn06jwHyzSJpArWSiKMIdZOIEeEFEFCfUqwbVvo7jhqiKRNHSkWWJ0TTglQsdHu6KIfMbV+by5teje4c5wTFNhcvy2kKFre6US6t1utkweq5R4Ocf7uFnsa1RLAbCT4o4xk5Af+wRxiLyLYpFMVkrG0iS9FQC5SfBrGEKIjbW80NuPOjTH3sstEpcX28x1yiw3xfRrWfmv5jkjWe9J9t9fL9+0/CXmYjjR6+cqoK/yfjbv3+Zt28d8GBnzL//H/+af+df//7pYOIUnwpjOzjWCOiNvK9MxLG2UBEODXHKQquIZaj83pur/IOfPCRJUn54fYFG7SRJwg/jnPg0cQJsN2K+UaRaMrAzRfL6Ui2PFNVUBdtz2OvbjKdif25VzTzJI02FIGLqhKiqxE+3R+wcTLi3M4Y0YTDxcxecqROiKjLNiiEc5Io6r15o0apaLLdLbOxPMTSFVlU0dAxdoVIyCDKy7Cz96te3u/z6Tje/FocDl/2BSMsa2X7u8KkpMhISy+0yEzdgp2sjS9CpW9TKJiVTpTtM2e3ZmIaKZQjS3MQOcLyQThZHraoy7brF7Y0Bc43Cicaxmznczf6/0CoytgNsN6Roacw9cY/sHk65cb+Hpsq8cXnuqYkaT7vXUuDh7ojDoUvR0qkU9afWIIPM5Q9EE6o/9k5FHBmSJOGPfrbJJGvKffiwn6VlyBRMMeS2vYg4TqmXDYa2TxxDs6LjBrFoKj7lnCcjYahSJkaSCKMYLVZERKOlisQ7TSj9Z0R3EK4v55aqx67P3a1h/m8kScrm3gQk4c64Mlf+ymO+nzc4adUsBmOPsR1gGSqLrS/fneGDBz22DibUy6YQl8mnRMaPg6Nu6J8UYXTyvp45uL6oMHU1T8HZ7k75e39xj43dCd2Bk+9JQJbG8+zvIyGIoqQpRUMjCCP8KKFTM1mdr+CHMft9m0bVQpYkXD9iv++eEHFcOdtgpztlkKVBvnSu9dR/77MgjpNcwAGCLPTkdUySNBdwAIwyt6ivel36tFjqlJhmZ91a2fjK3DJP8dVidaHK27e7RGGCpgkn5Nm9MN8qUiro6GECacrQ8zJCNfz61gGL7RJRknIwcPit15ZAVTIRRZGN/QmeH6OpEhPHJ4lFLbuxNyZNBcELEvwgYjQNMnfnGpYpkjg2DyaZQ60gIe1ma0VKStHScHwhVDZMYewyc+EzMkJ5Soofxnxw/5AUCUWReP1S55n7+NG+o6rIVIoao2mAqshcWW2gqTJhlNCqWce+x8Pdcf5rQbRI8/fxxuUOmwdTklQQqqrFz2accfQcA2KY3Bt5OG544hnujTzOzFcYTX3evnlAnKS8erGVOxt+0/CiDue+TCiyjCQ9Jvq8f/8Qx4uRAUPXcPwITVPR45Q4BlNXGE1DamWd5U6Za+tN/v6P77PfEyKMiRMQxSmqLKOrCkNNxlAVpm6AokiUChqSImH7Ma16gbEdMpoGFCyNqRuSJAnzzRKqIlM0NQrZeWB2tp/tUedXatzdGhKEEe3sfOr6MT+4vsC9rRHtmkWYJHRqBZI0JYxiNvcn9EYOUZyeIAovtEostEps7k+4cb8HEqKfnooarlY28v19hkd7E+Yz1zXXi/CC6GMLsWT5k/XNn+yRf1P70af4aCRJynZ3iuOFNCrWM5NcZrM3kYZe+kxJlt8EzPY9xwvZH9joqvg8bDckjhM8/zF5ujt06Y3cvGdlGuqJ502WJa6ea3Lr0YB37xxi6ooglU1dmlWTRE7RVJnXLnV47+4h+wOHZsXEKCmZ4MMgjhO2DiYUTC1P0PL8kO4w4dHehKKpoWtCaKHIMitzJe5uDlEVmctn67RqFv1sbZAlSZDQZEF2N3Wxtk+dAFNXs3lpSKUItczQLoyF43mnWaBenhnHxbx+qcNB32E4FSZ237s6xwcPBtTKJnEskkdkWTq2x+50p4yyft/WwQRTV/CCCFIwTRXfF0Qz34+QM7fHKElFIkCa4gYxvZH7TBHHQqtEydJ49+4hpqHwL/7OeT582AeESLhk6TQq1lPX1dX5spjTxgmdRuG56b298eO1duKI/uMp8fXzgeOFuYADYOtggqE9fq76I++5Io7+kWsTRQkTJzh2vVVFzvvFsiwhZzOu3cMpP353h5sPB9SqOnGSMnFCmjWLMEyolnRqZfOZHIQZSgUdK07YyOqEginSoYMwJskSXNwgIgX6E49mrc5iu8Ruz0ZVZS6vNaiWDMoFjZ/fkLi9MaBc1Lm61mC/75IkKYqkoWsyRUukESdJyu2NIXGSIkkpthMgKzJSKHgHJUtDlRXiJCWOUsIs6SYKE2olCSSyekz0dfteRMnScP0IRRZi3PlWka3uFNsLGUw8FFnC2J/SqJoUTBVFFucl01BRZHHdxrbP5dUGy3Nf/Dz+FC8m1hYr3NsakaQpy+0SuqZkpNsgr51H0wAJuPWgz7v3RCKe2GcSvnOlw9u3D0i8mMVWAVOXufloSMlSUWSZsR3Qqlkosug96rqSEarFs3V/e4SmSsRRQhgmTFJxflcVmSgWiVJaljxYK+uM7ZDVhTLnl2tsHUyZa5YomCqTqces9Dc1GV1XkCTx7OwPHMI4pWAqjJ2AX9zYRZLE3K5oRjzam7DQLqGrijCN1RTQRDrk27cOiJOEy2caondsi/XstQtt/osfPyAIE66vN4+d0QdZLxLIzydP9jAW2yXBI/JjKiWdM3OVF7oH/WUijOJcwAHH95xvKw6P9ML8MMZ2wy/F9LVdF8JJ1xemMXMN0X88mp07m9c4XpgLOGZfuzJXZrs7pWiqLLVLDLPZTBynvHe3l9d1thOysTfh6tkmINI0NE3B0BORHqyrRHFEf+xTsjTmm8drhKV2ka39CUGUsDxXplYy2NifIEsSsizmB7Yn5v6zZNiJI0ThZxdrONmstVTQqJZ1/uytbeIk4Y0rnVzAAVnPs2wiSWKub2oi8XjWd9jYm1DOavIgSDgYuI/3Z0miaGkMJyL5o1TQRBKJEzJ1A354bRFDV/L+vyKn/Mf/5BZBGHP9fAs3DNnvOciyhKFJTJwgSwGT89TUWbro/Z0hS60yXibSPtqHNA0VVZH45Yf76LrC731/jVJB53xWk/+nf3o3n9tHccp212a+WSRORJ9XkqRjMzpV+ewcxFN8u6Aq8gt9zximjKnLeJmJTMFQkOUXv9+9N3A/+kVfM0zs4yKOre5nN6/9siFm1oK7haQ+VUj8sb7P5/u2TvFxMNco0K5ZSNLTHSiq5eMLw6xwmx0iJIm8EDJUmd/93hlWFyrMNQrEScqvb4tYwCCI2TmcsjpfQVGkXJkpyxKXVhvESfrMiHDTUBkdIcZMPRENWCnqSJLEaOKLWK2MXOb6IpbRD2Nev9zh8lqDckHjlx/uY+gy/XHEfs+mVbVASrm23uLcUhXbCxhN/SzWOCZNxVB0rlkQRdneBNsLKRgqN+736E98VFnCD2PKBZV2vUCpoPGnb28RBMK57Mb9Q75zZZ5Lqw1aVTNzyQ4YZcXP2cUqK50yUZKwc2hzOHSolUw8P8bQFb57dYHldoW9/pQPHwxy1+xSQaNZNWjV5rLr8PizezIusVoyWGyX6NQLzHhcd7aGjCYBmqIwcUJqRRlFkZ4aR6arSu4c0K4XePP6/KdyDXwWTF3Ji29Vkbm9MeTmwwEAB32XoqlxbqnKylz5mQfR590/nwaWoeZRc0fv128SDvoOtzeGyBL84PrCV/12TvEFQlMV/q3/2hv8D/+9P+OXH+7zD3/6iD/4wdpX/bZO8QLCMkTs5Yy9aRpf3YCrWjJ4/VInT1sA+K3XlvnBtTnCEAoF7al7g6YqWSNXDOhmg592zeLCSo3h1M+dL8kaJoOxz3gaEEQxg7FHnKZYukqUJNmQVbhuvH27i6bI7PYdhhOfkiUiUCe2n9VLKo4fMXUiLp2ps9AqEkYpuqbw5vVF3rgc0R16xElKs2qysT9BV2WqJR1ZFmQwQdyScb0I2w0wM/e8clEkjJUsjRR4+YLChaUa//BnwgmkWjKwdJVr59s0KiYrnRJbBxM0VRDd4kSQyyZ2kDfbmzWLH728yF728wwnPmM74OXzrbz2G4y9PB56NBWR8wutIi+daxJEiSDvHoEXRPzp21u52NTxYv7gh2snru/T7rXByOXuphCvDicBjbLBxTP1E7XBk0P3gnl6xJjBC6JcwAGgyFAuGERRQm8sxLoiNhcMQ+FKq0GSpOwPXOQ4xdBUwigWVt1HUClmdaEkkSQJsiKjqzKqLNGuWdTLRuZaJeUkSBCOME9ev4Kh0s9+HYTi/DCrO+Mk/Vq7IymyxOW1559rvkg82h3z9s0DQNTQqiLIJKf4fPCs66oqH31fv6hwvIB//NOHPNodM7IDgjAh4djyDIAkg5yCosDMpESVQdVkGmWDC2fq7A9c+iOXVlFHlmV++/VlWjWL9+52+fDhgCRJkTLHvCdh6ip//TfOPXVf+bwgyxK6JudOMYZ28jrKspQPPUCIy76KZ/3zgqmrvHKh/cKLjk7x2TDXLLC2WMH1QixTY+6IAPHimTpjO2CSCZH/8U8fkqTiGYmiFDcjaIVhAhK8fqmDokj8nT8TgzlNk+mPXCQJYUgiSYydICdbOZ5wvmvVDBRFIU4Szi6USRHP2+7hlDiOkWU4365zfrlKChwOHOJE1CWyJLHcLnHpTA2Aw5FIpZMkYaDy7t0uzVoBCRhPA/7Wb68f+/mTRDjKWUf6jpqqcPVsE0WWURWJesXk4pn6sWdlth5VCsJ0hew9XzvfpmRq+es6jcKx88pnwdFzDECzYvLbry3jBzGyLPHOnW7eq7Wy+vdP3trMhR9//JbHv/Tb5/OkkFN8M/Bx605NlVlfrrG5P2GuUeTSaoN373SJkpQUQbwqmBr3todEcYoiSSx1Shi6zMj2+ct3d+iPsp65EzO1IyQZYjUlTlKWzSJFS6deEWZIy50KuioTJwmWoeF4os9dsnQaZZ0khdWFSj74f+Nyh7lGEVkWBkezPer6egs/iPj5jT0e7U/yXm1/7PH65c6x+YQkSfz521tEcUpv5PPj93aoFLWnipdW5soUTZU7m8O8pz7rb1hP9DmqRwjMsix96sHXx8FX1Y+erYWnhi9fH2x3p3mqw2gaoGvyCUJVnKTcejTI9wXXj7i+/vmLnT8t0jT93PbAj4s/fWuLiROI5IzulMurdWRZZr/vsL5URVWk/DBTtLSPlfo5W4/2elO6AyHYVxWZpU4RQ1fzvuF8s8jUDRlOfMpFneW5Mo4XEscwcUJSwNBk+qMAJIkoTrizOWChUaRaFIkB9bLB2A7QVBnLUNnat1nuTDENBc8XAoWYlKtnhMg9RfTHZntB0dQY2wGKLPqRb1ye4+WLHapFnXubQ4ZTnyRJkCRBgPs3/qWX8YI4Tyqolw3Wl2pCqK7Kx0RBB32HrYNpbnITJwljSZjbaKrCcrtEuaBzbb2Vpwptd6fCmE1KKBd1itZJocxRDCcetheytlBGlmW29qdcX29x0HfE+pTVbE9DqaDn+8JHzRAtXRVkBoTI+EUV5X8dMTtHz/bnclEkXM0aCB/1zFm6ypisbymRkwZnuLBS48HumDRNWZkroyhy3mt2vZCJKwyYSkWdoqWx2CpRLRlcWq1/7H7Cw90xvZFHGImZ/dq8gmmoOF5EEEYEQYyuK9TLBp4fsTJXZqldQpKEqWKapnSHHlGcsrZQQZZFH//8So0wTtAUmYV2ifKR3keSmUQFQUySQL2s0axWaNdNSpbBQd8hiGL8MCaME5I0QdMUljsVFFWiUyvkvdNWzWI48UnTFEmS6DSKXD3b5OHOiPfDBD+MCMKUVlWc5RoVk0rRYLFVoFQ02OvZOWG2O3T5m79x7oQo6rRuOAWQGQgZx/Z65Ynemq7JPNwfc+NBj8ORR5qmmIbCaBrw8nmT//a/cJ3726NcWBknwhStWjSolHQKhsrLF1poioIkS4wmXl6/e0GE6wkhQxglmLpKuaBRKurYWQq9LIs+raooTByfTr1DqaBj6qL/kKbZOVsVM41y0aDTKFKyVLxQzA/7mWGY60ekmkoYR8SJShDpJE7K1A6BMK/DgjBm4oYsZkZnI9unXHrshu+FMW9cniNJEtRsNjebtYlZX5o/W09bMw1N4eXz7a9s/vBJ8HV7j4os50Z5IPacbzssQ8XNOFqSJO6vLwPnlmq8cXmOSZaCt77y7JS2mdg5DEVaTrVg8l//gyv5fvze3S7DO4ckqUgAblatfAYqSwg+YIZyUadeFhxDWZLQVImSKXoUmqoSP+FWdTj0aFTEGWzqhKwv1ejUC0iSEDwOJmKeL0sSlYLO7725lqUZC5ObOE7F+5IlfvLuLlEk9t63bx5SKWpMnQBJEmL8pXYp/xmePPeVi1r+M0kSuaADxBo31yjQrJjIssSjvbEQlGY/4/7Q4W+9vJ7XyP+Xv3eDvZ44Z24d2AymXsYfTBnZIWGU4IURKQqlgnZMQOP5IskEYGQHXDvXzOsPx4u4tTHAzMwi37nTZaFVzNeBVtXk3tYo/14rcyXOzFdJUvH3X7V5xddtvTrFtw8lU+XKWpPBSCQPtpplzG8Av6VVeQGFKE8MwCVevH5BmJmj1SsmsiTlM+1Pihf/DnxB8bxG6nyzyJvX5nm4O6Zc0Hnj8hyHQ5cHOyMcPyKOktw9t1Y2qFfM3EkjjOKcpLfYKtHLHK0W26UT8fbP2xRXOmUkRJRas2qiyBIfPhwQx2RNSZlaOcTSVRplE8eLGE4CFo44aoSxIFraXowky3nxNJ4GdAcuiixxbrGKJEkEYcTUjQnDmLHtc21dFCDXzxsstor89MYuUzeiXNAoWhpxmuIHMUVTZaFd5o9+sUl36EKa0qqa1CsGS+2jccoCnh9DWRRbMwIoQJqtCHGcUi2KeLEoEg2fWtnkoG9ze2PIw90Jv/Hy4gknjPMrdVw/Yrdn064VuLJWZ6c7Zas7RZYk1perYsgOXDvXIEoEYe/KWpNXLpwkei20i0iSaMzUvwB3zgtn6mzuT0gyAumvbh0c+/tR5qj4tPvU9SNuPepnEc8G55drn0vj6MKKGGzGSfrU+/WbgFkKx0vnWtTLp66r33SsLlT41/76Ff7Dv3uD//Dvvs8r51sstksf/YWnOMURFEyN88s1Docuhq6cSG76siFlMcoz9Mce97dHRFFCGMcYmoplqlzO3HNB7LeXVutsd6fUy4aITI0T6hWTesWkUhJ/5gcx97eG/N1HAw5HLu2aEHQmacpBz6FZNRjZIrnr9Usd2o0CcZzgBhEyoMoShqZS0MXgM45TyhUNU1OQJdjvO7h+zFJbCB4urNTY7zt0GsXM2VwMo8Io4W/+6Cw3HvY4HPpcXjWplkSjaedwytSTubJaRFcVLp6ps3UwJYoSHC/kw0d9ltvCwVRVZV672KZ2ZL3382a6wlK7RMFQiePHdR2ZS/JssEn2vvwjjeWjfwdCJBBGCbeyeNuipXFptZ4PRKdOkNeGIFI/noan3Ws3H/aplw1cPyJOUnYOp/zy5j7LnRKLrcfr2Vx2LSaOEP2+yM4LnzfEMEPPG37fuzpPCtx82OfKap37u2O2u9N8sBnFsNQuEKcJaZKSpAmKLGMZKWEWG3xuscjUTzE1hWrRoD9xSVNxQIxJsf2IoGsTRgnv3j3k7FKV7sARKTGdk/vQrLHnZA42R91on7zfvq74qpp9Y9s/9vuZK/kpPhviOOHWxoCpE2Z7Sv0YeU+SHu8rz7qvX1Q82puydTAlzBzsSgWDKHYJj/R7UkCRoGhoKJqM70coqoQqy2iaQhALtzzXjxhlZPBK0eDH7+7yN3/zLFfPtVAUmRv3DlFV8TrHC59qGvBFCThgdh0bbB1MnnsdL2V7bUqaETVe/Ob+qYDj243Fdol2rcBw4lErmywccZ1r1yyqRYM0gYKlcG65yqPdcZbsZmAZYsBp6gqk8PatAxRF1NGeHxHGCZauCtfasY+uyZyZKxFEKWEY066Z7B46IgFATVFVk1/dPiSMEi6sVLlytsHWvnCx/mvfXcYwNJG6WzG5vzPCdkMsQ+X6+Sb9kU9KyuuXLN6/32ds+xRMlb2+w27PRkLCe6JZvXUwEUl1ssS5pSrziFqjVbPYPbS5szlE12Quroo04tmz8ue/2mJjb4KuK/zg2nzuQn1ptUHlCYLTk+eVz4Kj5xhZlmjXLd6508UPBHFldp5QFeHinSTJMWe/IIgJoghVfQGHJ6c4gSRJub05YJwl2VxabXwk4aJRMWlUTDb3J0iSxP7AYac7RVeFA+b1820UVWZ7f0qcpARhzNgJIJUA0Tu2DJWxHZAAMpAmUCxq1Mom55aq6JosUq4zwnLJUlFVmeW5EuvLZW49GomkmqttSCWCMGZ9qcZ8s4gkSTnxV1VlltoltrtTDocutzf67PcdaiWDl5vt/Fzw5B42PRpxn8LYDmnVnvF5VC3W4pThRCQ3zta/UkFnfblKb+RhZoSI7a5NFCcstIpfqLDiq+hHP9wdc5CtHRfO1Cg/x73+FF8evODJXkvMk9SmKE6OpcZ4X6Pzcm/k8mBnTJKmnJkrn3C1/aIwcUWvo2AoJGlKFCXousxco8CVtQZRlPBwb4yhqVxeq3PmEzjM/+arK7x9cx8viHjz5QVIxd5cMFU296eoisxiq8StRz3GdkAxUekOHKZOiOvHNCsG19ZbDCc+qipqkjhJqVUMxlMfQ1Oy3qOZX9dxlizSrFjYWogswZn5Mn4YI8syuiZTsnR0TQzni5bGxdV63pPbORTr+dgWSUi3H/XxghhNkZk4ERdWaqwuVPKfsV2zuL05xPMjzi5WjpFH3eyeDLLD4Ky/2CgbVEoGJUtjJfs8O/UCtzcGzDeK1Eo67XqBRsWkXS/kr3nq9XPCjAws1r6xE3BmviJIB2FMq2Z9pLnc0842YRRz89EA1xNJIetLFXZ6DkmSstwpnZ6HPkfompLXpJoqs9wpM7Z9eiPvY80SlufKIIm0mGbVPGHyUCroJ8RqImknRddUzsxVGE48XjnfYqFVZDQNiEcJ//k/61MriXv10mr9ualFsxpjvlGgO3SxDJXzKzVuPuyhqQqlgo4kQcHQcjNLJSNN7vccFOVxQsjsXjYMFVVT2O5OqBQL/Oj6HL1xQH/k0ht5RFHC7uEUxxfibEUR5wvHS0gSIdQydJWV+RJ3N0dYuspKRviUFQlVEbXWzJ28VTV5uDvOxE3CCLJkaYRhjOvFaKrMQrOAYSiARKkgs9gu065bbO09dpqNYyEuOSri2D202TwQLuTnlqqniZ7fcjztvHtptcH2gSAgLnVK3N8eoWsiFSNJwXFjksThz97e5uHuhFcvtBjZwlBM1xS6A5cwEomBhyOP//wvHrDYLFIrG2x3p3QHLq2axVK7jGVo1KcmFcvBjxLKBY1qSeeV8y2qJYM7myMcL2Q09RlNff6zP7/HtXNifWhVLRZbRaIoIU5STE2mVrW4tFJn/UyVh9tjojjloG/zcHeWKCpEia2qyXyzyNyRZCHPj/D8iF/f7nJ3a4hlqsKcTZI4v1zL96/H5xj52KytP/Z4sDNmOBWJAGuL1RMJ90fxdSYbJ0nK3a0hw4moby6t1r9ygjaIGuHyrIcvfbN6+J8WawsVVEUkLnTqhS/tOnXqBb57dZ6xLcTPs/Sep0FVZFw/5O2bXTRV4p///hog5g0AF8/UuL055HDosNQu8zd/6xz/9BcbOG7Iqxc6dI48R5WCzm+9tsytR31MQ2W+bvF3/+IB/bFH0dR45UL72L+9sTfm3buHwriiU+LKWiOfn1uGEHPv9SYYusoPrs+zMlfOf6a5RpGtgwl+IGrYP3trk9mCGUUxjVoZWZJQFYmzS1XOLlTpjVwKpsbSE/ydH768yC8/3MfzRe/xqMjD1IVI+u7BEENTWGwVebA7Rkb8W2VL7OGzene7O2WnOyVJxRy+VtQYBAGyDOWChheI9BCfmLVahU69wMHAoVMvoOdGk0Aqzqiztc12xex/VgONbZ/bG4N8Hfi9N88QRDF7PYcLK3V+/wdrbO5PCKOEuUbhSxMQPQnHC7n1aEAYJTSrJutfYxPBU3yzoapCuPqPfio4xa+db3/EV7wYmGu8eHttwZCYeo+5TJ3Gi3feMXSFTr3A1A0wMqHzp8FXX72d4qk4v1Ln/IoYWqZpmh9WDvoOfhizvlzLHLrKx5oqhiYUmlNHkAevrTc5u3hSSTt2AvYObeplg/ZTolRlWeLMfOXYn/3V75zh9qM+3SNxYZIk0axZeSyxH0T0hi6moVI0NVRZFukdCIWq50c0qxayJHF/e4iuKTSrBhNbRlNizi/XkGWJn9/Y4/xyjeW5MjuHQhhxeVWQeRRZplE2uXK2Sb1scDCwGdkBnhciyRKqKnMh++waVVNE9WauBLNIsCRzq1lsiRj5GeGqaGkMJl4elxZFCRKwncX7RlHCWzcPWJ4rM5r6RJmLRxAlrC5UWGiJKMgwTtnKDsxJmvJwZ8xCq8jG3gRFUfjhtUVeWm8SJymHQ5eCqR5rhs41CrnSrGCqmJlTjZ2po48W9GmaCpcPhHPP80gtSZIymHjIsnTMVXl1ocLDvbFohCsSZ+af3djb3J/kjg6Dsc9g4n8uTSNdU77xRdqf/WoLgB+9fJrC8W3Bv/Cb6/zig33evXvI/+b/+Rb/7n/vR89tWJ/iFE/DjPjxdcSDnZHYW6YevaHH+lIV14vY69mszJXpZYORTt3i4hmxN9uucMmZOVcossTqfEWQRTLyuKEpjKY+8806XiBqh72+nTWLxeFjdT4TWg4cKiWDNE05s1Dm1qOhKIxTcP2QuYbFzqGdu+rMapaSpRFVTVRFzkUkuqpwMLApV0x+93trQpjxsM/tjT5bB1NqZQNVVhhkCRkzt43dniDMS5KEoshcOdtguVPmcOhwe2PAXKOQiRtMHuyMcbyQTt3i1UudY8kauiZTKug0qybv3jkkCGNW5ivHaoRa2WDn0BYOa5K4P4RjV5R/vvt9J/+caiUhQpk5HZ9ZePYe/+S9ttwpUSkZFEyNvb5Np16EFLb2p7SqVi4sAU5Fas+ALMv87vdXuHG/j6LIXDvbQFUV5hpFtrsT7u+OkSThmOcFMfHYQQLm6hZ3t0ZIkkSaJpi6xvmlMkGc4PkRFUtjqVOiWbPY3FczkkKAKsvIkoQkSURJyu6hTX/s8v2X5imYTycHSZKUD/WjWJAPZw4BrVNBznOxMlfmxoO+cJOS4Oxi5SO/ZuauVy7qX1mj9OuOg4GbN6ddL2L30D5xNi2YWn7m+6Jx9Az1cYXY290prheyPFf+2LVfmqaMJj4lS6U7THGDiGbFomgpQjB4hAutyDKJBNfPNonihOHUZ2IHFEyVlbkSdzaGyKkYaJqagiSD6wf8s19vi9TIZpH15Tq2GzK2Ax7ujvOY8y8TlqF+5HU0MwLHKU7xTUEQxVSKwolS1xQ8P+L+9kjMFdNUpLJKKRKInlrJQJUlLqwIoq+okYuoithD4jjFcSNMQ8UEkjQhSSTGtodlKCy3y8w1Rd9v7PgcjjziREGRJQ76bk7s2tifcmmlwRuX5gEwDC3vGzleyMgOqJdNJAlW58tUisIBtFk1GDsBrm9i6AqDqY/rRaSkx4jXXhCx0xVDkSRJ2dgb8+pFYWpiu2JvnNWv2wfTfL3d3J/ktXIQxNy43+cH1xeI4uSEUx7AcOITJwm1svm5kCyKlpafY+5vjxhNfYJQpKmVCzqyJBIXZmLDpXYpJ9AI4uMpOfubgsOhyzg7U3l+zE53+tSe+9NQr5hs7I1ZbhWRkXC8gChOcNyQoqFydqlCECTc3R6iKBJlSyUMxXpBKmymTU0izXq+9bLBucUqc80i55drhGHCxv4YZUZc1BVeudDmrZv7dOriuYrihHNLVUoFPZ8lTJwgT8UUPe99GmWT7e6UsR2iyjKuH9MbucfIFVGcMJr6qIrM6nyF/uwcrysfSRyfaxSeSo5qVq1jZgDnlh5/tkfnGIYukgqrJeNzcXL/svvRUyfgIHPSjOKEjb0JL5378muwU5xEs2oxmPj5fKRaOrl+66p8zKTh8zawGE48DgauSNf8hH3Ah7vj3Il/Y29Cs2p9KckyK50Sm/tTdE3lu1fmWJkXQoSXzjYAkaq30ilz5WzzmamtUydg59CmWjKOrQ8FU+U3Xl068fogjNntOUQZeXSuUWLqBPhBzHDsoyhCsLbXs7m23uI7V+fZ3J8wdUIUBaIY2vUi7br4nGtFnV98eEAUCaOYRsWiVNCpV0xePt/i/ftCJNIf+VSKBo2qycWVOrWy6EUK0xqTohXzcGfCzsE+jZrFfs/G9SKiOCVJUjb3x1SKOpWiTpykWIbKdtfGMhQ0RcLxIkZTP69vGhWTrX1B3I7jhHrJQJJgvlnKah0j78vN3sOsfjq3XEUiSzbMUpFHUx9DV44Jx9p1i4Kl5Slnq/Nl0addqOTzzzhOPrHAbefQzl2mp07IyA6/8pRXL4iYOuGJWew3AdWScawufnJPfR5mffnnYTD2SNKUelk4TleLBrWywXDiUymKRJY3ry0wGHt86PbZ7dkMJz5RLIQQO1372L7+JFo1i5sP+0RxSr1ksDxXomRpVIoGIJEiRCalooauyYxtH11V2OlOsd0IVRHiLkWRmNgBqiJTLRqoqpwbYO4PPFbnK3h+xF7PYWN3nCWWpEhIxElKnMCZ+RJhlNJpWCRJys9vTFmZK1Mt6qRAq2biBjGqImNqal4LrmaGkKah5mYYbhhnz6CKrslIsszKXOXYz92sWqzMl7n1aABAuaDTOHLtwihmc1+chZI05cHO6Gs7JzrF5wPHi9jpToTgufXx5i3WE32z+WaBkqWzOq/QHbostkvC5EuCw5HLL28d8DuvL3Nnc8hgLJ7jVt3CDWImjgspbCcpv759QKNi4QWRmMEVdc4uVvjFB3tYpkrqRbh+xPpSlXrFRFMV1leqvP3hvpgvhAlKxgfygoj1pVomhFfpDl3m6hZzrSJ//UfnqJcNFpslugOXS6s1/EzAOHFE6ucPri3w0nqL7QObiRPgBxGWofKrOwc4boSuKbheRLVZ4NJq49hz0qyaeS/CMh7vAQ93RO002zs7dQsviLHd8GOnh31dMJh4dAcurh+iawpb3elXvu/O8GX28F8EqIrM2sJHz5C+CNTLBpoqPzYVfAKDiUjAkyWJBztjLEMkcrx7p3tsjdnru6x0yqxk/UTXi/j+Swv5LORJ7trKXDmfP7714T5RnIp6VIK9nqgRXD+iUtTZOhCCaPHvOHh+lL/fkR0QxCm1koksw37fZXU+YnN/wvpy9URNs75U487WEBC10WKjSL1oIMsyqizTqlm0ak+vl0xd5eXz7bz3kKapOCsCmiLhHulhqorEK+fbdAcOlZLOG1eOGzinKWJNSyFUJSzDIpUkJMDUNWFCjejv+kHMD64v5l+733fyOZmWnUUfX0+TUkHjoO8gyxJzjQq7h1P6YyFMKxY0/pV//sqx9/K8HpYXRGztT7CeImr5PLGRCUkAeiOPVs1/an/3FKf4ouEGMbce9fI+xY37Xf76b5xFUV6sub0sw9FQIydInv3irymKlsHUe2wwWnsB14RaSfSKamUDJGg+Y3/5KLw41ee3HGmaPvkHPM1abuZmOZx4yJL01GbvaOrzj37ySAyCJPjRy4sfa+g01yhQLeq8e/fw2J+3aqKZMbZ9RnbA5sGEwdRnpVPmjctzdAcOg4mHpinEsYiMf+vWHu/e6aErErYXcWG5TiqlLHVK3N4cCoLgwZSr55oichlBDpy5Du71XEZTn7Htc16tIqUJaSpBejxOtF42eelsMyNKaTmBRlMV2nWL7sClUy9wbqlKp16gXjHZ6YphaxiJAZgqS3SHLo2KmR/YtrtTtg+mTJyA/tijU7PY7TmszJXRNfmpDan5ZhHLUAlC0WCNooQbD3r5wXnW+AVBTK0UdeI4pV42chLpLCLzqOr43vYoH5bVykY+XH4SaSrivmdDhk6jkB8SVubK/P6bq/SGPnNN65hr+Ck+H9zfHnFva4SqyPzma8tf9ds5xZcEWZb4N/+rr/Fv/m//lLubQ/5X/7df8j/9b37vNDL8FN9YzKqV2RDzT9/aJM0G4L/7vTMosiyaJqloVl0913gqubVc0LFMlYVWkf2+zcHAoTtwc0eJGV4616DZM3GDCNsJ6TQK3Lg/oD/ykWSJetlgfbmGJMkEUYwsSdQqJnGS8sHDPq4XMZz6xLFw9Pn1rQPKRQPHDWnVLRoVkz99awtVkRjZPqahUjIVZu/i/vaI3sjjcOTi+zFLR5xkNvcnQryX/fy//+Yag4nHdneSD4ZfudBmvlmkYGr4QUytrKOpMt2By/bhlDQRddP1862chFYwNa6dazJ2AkqWEJ2On5GuAaCqMr/3/VUe7k3QNZm1hY9HNAIxBPzDH51l98Bmqzs5dQj9lCiYOt+9On/szxZaRfb6NtWiwUHPJoxikgQ8HzxvzGiqo6sKQRSjahppKqK/ayWd3tBlbAshka4r/NXvLHN3c4imysRJQpKmVEs6UZTyzp0uBVOlP/L4gx+eeyZpYgZVkbl6tslwIty7T5tnz0etbPIHP1hj79ChUX26OP4ohhOf25uDfF146Wzza+GK9XVDSvrE7786pGnK7Y1Bvs6269ZHnp3fu9vlnTvizFy41+Nv/HAN/WMKOWRZolEpcG9rDECYxLQqJodDDz+IciGHLEmEUcx+3yFNU8aOTxqnyBKEYUKUJEztEEWR8cKYhUaBh7sTbm8MKZgaRVNjuVPKHePDOObyauPUEfUUp/gSIGVEpDT73S8/3M/7WF4YMRh5JClEccxu18b1Y5Ch1LO5tNqgWbUw9OPDhPlWgcV2EdePkaSUf/rLTYIgQZKgUjT4rdeXCMKEIIrZ2Z/Sn/qYmpITI0CQGWauerIsMX+MRHm8/vzZ+3tsZ72zWkmQuJJU/EwvrzcZTgLxPZrP3xdneHKdf966P5z6OcnJMlSunmvmdfLG3pi9niBHFy2HK2uf77o2tn029ifiDUop97aH+fnk0mqd716d57dfW+Lh7oQkST5R3X2Kbz4OBg73d0b0xh62E2FoMvt9h9X5MgvtIoapUC3pjKc+j3anhIkwDtI1iWJBo2RqTNyQOE1p1S1BkLR97m+PmG8U6I08zsyXcyHHUcx63BKgKDLry1WaVYsnxw050pSpE2AaItmnYGq5m2acpHz4oJ872i53SvyV76wwtUNW5osfed74pDg6x5i6IUutInPNIoaucO1c8xuZ5HyKrwaNisnVs01cL6JSerrgfpYIOJh4SJLoOX1eOBw6/NHPN4jjFEmCv/qdlY9N3vwq8ZuvHt/31Iy8nKYp/+AnD3kvmyW+fWufv/37V0+sEVMn4O//5CFBZiTx5rX53NzuWdA18fyPsmQkVZV5++YBkiQhy9KROkJiMPG5tt6kZGl4fkQQxth+hKY8JkGtL9eolgwOBg69kZeTO1PEmjnrkVxcqSHJEkVTy2dzd7eG7B7a7HSn7PcdDocuQZQwdkMaZTN7LylkncQwSvjgQV8IbCToj1wOh2K2pykyl9fqR969GAOXC0L4oaoyYzvg//dnd9FUmXbdeuZ9cn9rlP+6UTGYumFuzLa2UMnXdFNX+f0319jcm1Cw1Jxgt9Od5iZ1T9ZbLyJcP+LG/V5uiHPpTP203/UxMUvsAqiUXC6vNlBVmX/+zTUe7oyO9ZqDSIgTR7af9RXFOnqC3/AUpEB/7BLHKaomczBweeVim7ubQ9JUJG8cDtwsAelxIs8sqWahVWB1vsJez6FgKtTKxrGEvBm2u1N+deuAR3sTBlMPVZZRFAnLUKgUdMbTUIitLI2He+OsPyXef5Kk/MU7OyBBydKZOgGvXGwThDE37vdyQuK5pSqtmoU0+7GlVJz3nvEIfffqPJ16AT+MOTNf/kITUU/x9YYXRPzDHz/ITcheu9T5VGLfVy50cIOI0TjgEsLp/de3RaKkH8QkSSIMWzslHmyNUFSZnYMpYydAkSWR2OtGOEGEujdhuVOipsqULJW/+8/usbk3ZeIGWTqWRn/sUSuZtOsWqirzxuUOd7dG9Mceh0OX6WFIf+wjSxKvX5rj5fU2/alHt+fQqBnc2Riwvlzl7GKVWskgimPuLlZwvZhGJUZWJK6ebVIpGpRWdR7tjbi/PWKv77DfcyhZGo2aSaNisL5cPZFAtdwpU7J0oljwc561n03dMFtzsgSJtcaJdKKvK/wwZmNvLMjvEsfSfE5xChDmKR8+7JMk4qxxZa1x7D6ZpUUCpGnC4dDN97UTT8wT2/qHD/u5mUnhXo8rq3UmmfDgSe6arit0ahZ+JFKqkjTlxoNezhkoFzXiNCVNUkxDPdHTO1rp7/em/B/+zoFIo/g5/O3fv8z1I076f+u3z/F+tj9fO9viT3+1xeFQ1DSNyvPrwN1DOxdRmoaCoSqMsvnQkz1ZQ1f5ndeXGTvBsXPCDKWChqErJLFIL2zVLcZ2iCRBq2aw3CljuyGaKp/gds41CliGeow/MMPMlDtNU1RFoVTU+fE7OyJhUBJnpo8r5gqCiH/4k4e5YOT6+daJlJQvCh+jTDzFKb4w3NoY4WXmAzMz1BcNqiwTHFFxaC9gn/TojAp4nED0AsE0VK6tN5nYwjjiWYLJj8IpY+QFgCRJrC1Uebg7ol23iKIERRZNuqcdHhRZeq7Lxsb+RAg4AFLRhHmSiJIkgnzp+hHNqpl/P9MQhMrdQ1uQxJCJ4gRDV0hFbUZ/7BOECUvtEovtonC3DuNM6Z+w13d4tDPB0BS8MCJKUsIkplTQebQ3JsgizkAUjP/cd1a4szkkimKiJGHihPhhhK7paJqSFXQmfpgiy1DQNeI4YetgmrkDuPhBzFKnyJW1x4fds1ksoiRJmTgkZftgwtQNhRuaFxKEMXpBo2ip2F6IpkhEccw/+fkjVjplxrZw+OlNPKI4yQosg4kTstgustO1kWUpF0scbQz2RqIhNbsOhyM3F3EAx1xee2MvL2CSJBURc5Ymfj16rEgT7iZJThDf7zuMshjIRsXMBRwgHOSOKr1btQKt2kcP2Jc7JWw3JIwS4iShO3AIwvhLi+h+UfFHP38EiEFEpXh6eP42oVMv8O/862/yP/sPfswvP9znf/1//yX/47/9xjEH+1Oc4kVDd+AymHgYmoITR9RKBgVDQ1VkrKxW+NmNvXzvimORKlYtGXmDJ4oThhOf+aYoR5faJc7Ml7PUKuGYMbUDhB9FSr1ioGtif1toFTENNRNoCLGlhEjeKJgqQRhj6ArFgsrYDamVDbwgzvdk1wtzR7ix7RPHKVGSMJj4OFkMc5gkOF6EH8YYumi8DCc+ErDYFk7IG1kTp1Yy2HaneXPk5sM+d7eGWZqBhGkoPNob0x04eH6cNb+E8PXKWlPsC0e20XvbI3w/Jk5S+iOf3tChWbUyF5KExVYpdxIDIRQdZq7HBVM94WwaRILEl6bCwWvmFPxxUCnoVNZ02g2Le1uiib3cKZ2uYZ8SR2vsVy+00VSZrYMxEyckSJJMoy3hBjHlgk7oBsSJcHOxXR9VkQiiOKvDoCILhy5NVdDUhFbRJEmhWbHYH9ioioSZuTv+7MYuP7i+cEw4NRh7dIcuhq6w3BGOizMywOcFz4/Yyoiey+3SN0608KTj4fNwOHLzNTCOU4ZTn/lv2OfxeaBTLzAY+9huiGWoLLa+unNGECXHhHKHQ/cjRRz3d8b5rx03ZH/gnhggPg2SJJ6/mUOdqauYmobtxzSqJv2RR+xFyLIYFgRxlA0eEpE8qShM3ZDe2KFWNBlPfGQAWWK3Z2dOteJetd2A0cRHUQVhoWiK6O5vmiPpi4Rn9WBO8c2DqkikSYrvCxc2x4tQFFHx9sYespQSRClpmjJ1Q7xAGLDsdm1RL4QxkgTNqk4YJciyxGsX27x7t4cswdSLkBFiQVkSznWzfao7cCiXDGRFPPuNikl/7BHHKZdX63zn6jyuF4oeXyoEy0mSstgWomPTUImihEd743xtPBy5fPfKXO6QpFoyBUsk8q4tlHn71gH9kcdSp5j3E+XM4XmGkiUI4gd9Jz8HzLDULrLUEekWuqrQaTx+NmaJtbMey17PZq/vCDfNivm5r2u6qqApMmGUkMRge0G+rj7cHfPdq/PI8tONXU7x4qNZs+iNPCZOgKErLHyC+uTXt/b51a0DvCDBdgKSFOJUJogTEqA7EGJ/y1BJUghj8WwrsoSpqaiKIO7KksRc3SJNHg+0xlGIpohER8+PKReV/BlaW6hwf3skHFlVhf2+g6YplIoazaolXHdrFodDF1WRef1Sh52uTbNmsdcTz2O9ZB4jEsySNWc4HLm8fL4NX9B8/+gcw/ZCDgYuc80ifiBEHS8aCbdU0HNjqY9Kwz7Fl4+SpX0kWU/+iNnbp8WDnXE+K0pTsmT3jy/imD3vKbDSKX8pKRzAM/c9P4x5eORcNJj4udPuUWwf2LmAA+D+zui5Ig4/jNnan5CkKUmcstuz6Y89dE3ULrWKyebuGFWVqZWN3Jm6VNCy+sDA0BV6Iz9PKFIUmbmmEIjNzNvkzBjmT365CRK8fqlDtXT8usdxwmDsY+oqxYLGdCtEVWUKpkYYx2KWG6e4fsRgIt6jLPFYfJYiXMplkQJgmuoxg7re2BO1oC+SBnYPhXgvjGKSNCUMEx5k98nRmV3REmmts++1uT+haD2eRx2OXDqNAq4fsX0wFSlri8cTJLsZwQ1EveV44QljlzhO2DwQJPpZAvEMC80io6mP58cULY3O59hj+jSYOUsDkArX3xdt//iqcPReGE8DMTPXFHRVPmEoKEuiV1GIRG9eU0QSzEe5OR8OXYqmxkEqxKKuH6PIEWsLFb7/0jw/e3+P4dTn3vYQdztit+dQMjWSzOsyjhO2u7ZID5z4FC2N+WaJIIrpDlxqJZ35RgsQdYwXxDhBmPXnUhRFwdBkJFnC9kKqZZ3tnk3R0lnplNnp2URJyspcmXtbw6xnC35Gbh3bQU50BfGMxUlKfyKSgSwle7aSFMcLKZgalZJ+LClg9Rmu7JqqsDxXYmtfPKtflXv7Kb4c7B7auYADBH/n04g4CqbK+aU6u6aN50fsdKdoisw4DKiVDZbaZR7tjmlURZ1veyGqKmHqKpapMpwEJFJK0VCJkpTDoUu9ZPCrO12mjlgHPD9CksDShYjD9UUaZ8FUORi4tGoWw4lHCnkKqSRJOH7I9fWWqIUliShO2OvbjG2fN68t5OeO715e4Jc390hReeV8i2rGmZFliTgBXVPxA4eipREmCbYTculMndX5p5/Fa08R3q4ulEXtlM27JnZwnIszcilZWm5Y53gR9bJ5Ym6yuT/h1qMBRVPljcudj23k83lClsT1sz2Rpvhl1YGneHHQHz+uhdJU1JlHRRyHR/b7IExoVk32eiLhYfGJfXyuYfHWzT0ORz7L7SJ++HgPnDoBtzYGR75XzHpWbwNcWm2wuT+hP/IoWBrtusXuoeCalQsa60s1bm0MiOOUCyu1Y72IalGnWbE4HLloqszYiXC9iDgRYs+3bx0cE3EoisIrF0QqhuOF1MsGBVNFliSSVHD1eiMPy1BZapeOCUb2+zb7A5H8NzNednzRg2lVLeZbBfojPz/Tm4b6zLmnZaqUCzpJImaJYrYeZj+TQadeoK94qKrMSqfMe3e77Pdd5hoW18+3T/AHZnD9iChKWGqLnsJ2V3ArohgUScL2An5164Be1pM9ypN8EvsDl8Ohi+2KHvX97eEXJuJY6ZS55Q2IooRG1XxqAuYpTvFlwHZ9SFOSbPNPkwTfTygUXiz+i64mBI/LR+ZbH89U6+sE+wnx/c6h/RW9k88GU1efal78SXDKGHlB0K5bNKvCuUWWxOHh0zpNPRk98zRX5a2DSe5eN5z4GLqaN7BX5sostku8d/cwd7kwDYXFTpHpo5CJE2C7IZfCmPXlGitzZQxdziN8XqpbTJ2Au1sjwiwNxDIUWlWLK+fq3HwwyA9JJUulWjJ443KHn93YE2QeL2RsB6zOl2nVCrQbBVbmSsw1LCSgVS/wYHdMf+Rxf3vIxv6ETr3AXs+mYGjHmiFHh7mb+5NcYayqMmfmS+z3HVwvplYyObdYETHAfsxwEtAfdzm/XMsOqQqOG6Fl5FIzi4+fbxaRMwegGdJUuG48qdKdpXzMXEmONmyffNBnxMlZHPJMmaapcu4g0B97PNod59cQxBB/Ngww9U+3+RRMjVcvttnvO8JVZRowmga5sOgUJxGEMX/61hYAv/u91a/43Zziq8CVsw3+7X/tu/wv/88/5yfv7fI//w9+zL/9r33vqY2jU5zi647R1OfBzmNHt4V2kcVWCUWWjgkEqk8I1molA0NXAZ8kFZGsT0YS/9ZrywRBxMPdMcNpgONHxGnK6nwJXVPpNAqcma+gyBJJktCsWtTLJrc2Brz14T5JmmJqgvBr6SpBLJzIAdYWSrRqQlw6I78lSYquKcRSKpoabpj9HAlRFFMpannwWZqI6OXFdglZlklJxR6cRaivL9e4slrj7/3lQ/wgptt36Q4dFtslvCBCkiT8MMkFlV4QPdUlFYQYxfbE+w7CCENTuLs1fEzUsQNevdDOa0FNlbm+3jom5JwhihNubYiGiCRJ+EHM5bXGJ73sNComtctzwonwBXbf+6qxeTBhv+eQJAmyIvObry5zOHB4716PR7sj4hR0RSZOE0HyBJIkQc/SWkxTJk3IRN3guFA0Vcw54dbSqlk0qhbX15v84oM9NvYm7PUd0iQlihJuPRrwyoU2SZLiBVGejAPiefg46XyfFDcf9XPHR9sJeeXil+Pg8nXEk2veZz3Mf1OhKjIvnWs+dU37Kt6LqgjjAvh416xS0Jlk5GZJEo53Hwejqc/U8fOzYxglhFHM6kIFQ1MYjFwe7gkX7TCO8QKIpBg/iEiRKFvivRYMlXJJR+7J6LpIj+rUC9heyNSJUFWJoqlzYVUIIWVJQlHkU3HeV4zt7pTdrDk5cy09TcD6ZiIIE3RNoVaWSVIhPJgN+oIwzgZ6qagH3ZAkTZBlmeE0YDAWJh62G3LlbJNOzURVFR7tTaiXDZKSjjx0MHQFMytiWxnRNI7jfDAZJ4kggzeLnJkrESXkjq+zIe779w5xctGzcJmVJdEvmzrBYxJ3mqIoj2vDM3NlamUDWZL+/+z9eZBlaX6ehz1nP3ff8uaeWZm1L129zEzP0pzBMgNgsBAgQEoUKZEiacI0EbIsWnYoRENiBE06TNkygtQ/EmlKNmkbBEU6CMIQhQFAEAABzGBmGjM93V3V3bVX7svdl7Of4z/OvSfzZmZVZa2ZWfU9ER1dN/Mu59685zu/77e8L9+7ucW12zXCKGK91uNLb87w6UsTSLBPTW9hKs/ceFw03Z0Pk2WZH/z0HK7ro6oyN5dbSY5LkkYV8Gotm3Z3J9aW5VEntKcll9FZnC4QhhGuH3Brl8r1szxfwzASzkjHEEWWuLRYJgjCx8rJr2x1+fBOnXY/zplHUYQsyxTSGiFxXN/puUkjVK8fKzBKSNiuj6rIGLrKTDVD3/Yp5lLkMxpdy8cP4pi+2XWYqGT4zKUJ0oaCPNhnDvfLG7Ue//rbSwBEfZdK3kzy06dnCpyazCXn3kQ5zeXFElOVDP5gUGx3o6uhK4lAAIzGRrtz2s/qe7y7jqEpMqahDF6DA50STgKL0wXmJ3L71jvBq83ehvLsY4pADc/345Kz0RSZTEpNcmCqIpPP7N8X5bOjP8tnDs6VD9esT+41sByfWsvi5lIzUdvXNZm0oVEtpNBViZ7lI8kS/mAoPyJipppldatHOoDpsTg/OBSTGzI9Ftf0ojDkX/zOrYE4S7xX++nvPztyX0WJmyQ9P4yHFqYcVEUmAtKGxmcuVTk1VeCPPt7EdX3CMCKIIuQowg8CNFVlrGCiltNxvVeVR9a1nuUlDXUb9T5pQyUKoNP3KOdNZEUiN/ieDGt2vh/nmt77ZCvZw2bT+rBXHYjX7SiK+OhuPWk879lePJA3YKj4C/F6e9BecViDHX4+V8+OJdcEXVN4/Wz1WOzpYf8+fngtETyalK7GzdlRhKYqD/177t1rjBVTnDmEArRpqPRtH11V8IIQTZHi750a5ykaHZt23+XeWhtJil0CDEPh/FwpdhmTFTo9l/dvb6PKEqah8fXvLfPpS1NMVtIoskxjICQVEccypq7i+SEpUyFlaExXs6QNjYh4v5Y2FPwAqqU0E+U0Z2YKeH7IZr1PJhWf85XB+rG31u66AffW2qhKPPQXy1PF6uNpU+PMTCF57GGYHssyUc4cuIcSvFzkMzrJF4bD5xOH18gh67U+q9td7qy2aXQcDFVmdiLL4kyetKGy3YqFQzMpDVmRODtbxHZ92j2X8VKayXKKO2uxm3y376JrMpqm0O46tDoOrh8OentUkOK1wXICNus9DF2lnE9xajJHpZBidjzLRt2K+2I0JTlfTEMhiiLWtrux+2gEHw3qFqoicWGhxJnZAiGMuNOEYUjKUFGVOJ+pqTLzg3PkwqnHq3ntjZ02G0MXgvjzHOZpYset3fm6HffyZsfmd7+znOyNXD/g+z8191jH8SxImxoz49lkD7a3F0wg2BsLpfSdvrRh31o8EBGi6wqXFsqcnSshA4VBL4vrBui6wo2lJn07wNQV6m0HVd1ZfxRZotf3Er8MfyBQMURXZX78ncVEwOqb19ZptG3CKIpznQuVOKYN2edMlTY1rp4bw/dCZBneu7mVuGX4QdyvdxDDGEZRZNQgQFXj9WeY0xvmGHeLcNVbNq3Bz/u2B0RJr2MQRHzxzRmCqfBQe/r58TwpTYn7PBVpMMyhJz0DZ+eKBIPP6ZN7zcThfb3WQ1dVLuxy6tuNrsnIspQM55TzKXqWn6wDnb5HvVVLnitlqA90DNY0afB3iG9bTnDg/Z4FmZTGW+erT9XvKhA8C/IplZShJm5D6ZRG+pCx13HC9XcFj4BlnzwXi3gd3XkPqRMsNrg3Ln9cRNfICWJ3gLO7QPq4zE3k+NTFcZY2OhSzBm+dH993n92KWgCW7Y+oEMkSyQAHgO9HyIrM/Y0OPcujWoyTiBAn7C4uVFjd6iJLErMTWabLKf7hr1wj8ANaXYfv3timnO/xk++cYryY4frdGoam8PblCSA+abuDhG/G1JLgY2Y8y/RYhh/41Czv39pGUxXevjTBncHwQt/2iCKSZGGz6/CgFvqhInes2tEdTPNHcWOcoZLPGomqqqpI3FiON7CGES/ulaLJZCVNLq0zUU6zuh1bDiuyxJmZIpoq88n9Bl4QMl5KszCV59RUnkbHJmNqTFUybNb73FuPE1GL0/lE1WminMYPQto9h2bb4d5am/VajwvzJc6fKiUB6ux4NlkQ9v4NHS/gwnyJla0uiiwz9xRKX5Ikjfz949fzADHEcRDf+GCN7qCx8lVuXHzV+cylCf6Pf+UL/J/+H3/ItTt1/tf/9W/xc3/qDd65OiWKtoITxb7rixNAFHH9ToNO3yWT0jg/X+LK6QqOF1Br2UxWMpydK2E5Ph/fq9PuuUxXswc2O+m6SrPrcmulGVuoqzJpM1YInZ3IEYURv/6te2zWLXJpna+8PUc2pVEpmLG7wYUqYRgSAeMDh6n3bm7xa1+/Qzat80Ofnef1s1UyKY2P7zUGCY6IettjftC8ElsmQxCGlHJG7IhFxFw1h2nq5NJxQ/2F+RJLmx08P8R2fd69vsnyZodKIUUurbHeANsNqBbjYVxVlam3bfq2R7WUeuAg14X5Mp4X4AUhs+N5NE1JmuggThK5fkhqT4LjoEKa6wVs1i1qLQtZlpgbz3Fx4fH+5kNEoejp2Wr0+fr7q9huwFghxamJHD/1pbNsNCzsgZq06wU4TuxeByBLEaosk85oZE2Dcl6n0Yn3A2lT470b28xN5MhnYkXJ83NF0qbGF16Lry8922OynKGQNej0XL77ySbuQO0xCiP8IFaTWtqIv8tnZ4vP7G8dBGEywAFxPDpUxnkVmapkCMOInu1RyplimPMRHIdmD0WWOH+qxOpWrHp4GEeNL7w+xbevbdCzPc7PlyjmzEc+BuLra4jEdDVD3/Zo912yKY3pcoalrQ5bbYeMqWM7Ph3LwfdDfD8ijCCMIhpdh5Su0Op6XDmdptG2afUcMqbGRDlDJqVwe6VDJqXyfW/Ncna2yP2NDkEQMl3NHovP+1VmXw7G8cUQx0tKylSTuFXXZFJGmVbXQZJj9bYgCOlaHsWswfW7DTwHICSViRWlY3U6neu3a/ybRh9dUZgaS2PoKookMVnO8vr5Ktdv18imdD5zaYy/+0t/hOsFXFoo84Wr02y3LFK6yuygiVg/4PTf/Z10vYAPbm3juPEgyIX5cpJ3Oz2TZ7qapW/7sTpdGPGdjzeRJIl7ay0+vl/HcUOyKZXLi+UHqswCDy3eDdUsF6cLLA2U+SfLmZFmx3I+heuFhGFEuWDuKC4/I2aqWaIoou/ECpxnZot8eHsnF/m0RFHEzeVmrOptKJyfL4mBz2PI4xaZm534WlzIaGzUeiDJZAZNNqcmc/RsnzurbTKmRt8JkBSZas6gawf0LJd24CArsWu0hESExJmZadIpj1xKw3ICMqlYyGCr0WerYaFrsTp22tSQZQlVVRgvpbi92orVp29uEUURE5VMokI/JG5Yivf067UeiiIzvyv+MTSFc3Ml1us9dFVJYqNay+LOajvZi0sDR8oLp8pPNWyxu45xerZAtZQiCCImSukT7fAnmhUEezk/X6Jve2zU+1QKJlcWH1984zjlbBRF5qe+eJrf+PZ9HDfg0xfHD3SBnxrL8valSe6ut8indT51cfR66vkBH99rxHFGVqdne8iShOMFWK6PUw/wgzBe7yQJ1wvJpnSiCFRFYaaaGTSBOyiyjOvFQiySFOf+hrf7tscn9xu4fki1mGKinEmGGCB2PwrDMBmSG3LhVInlzS4btR4z4zm2GhaZlEpKV1ivW1hOQL1l8+5HmzQ6NllToW0F1FsW6ZTGX/7jl1mr9bFcn9PThRHRubQRx4w92yNtqEyPZ5J85ex4ltmJXPI9sR2fj+83cNzYxfHcfJG17V6yh+1ZXuzCqinMT+Twg2jEOcB2gpFmg8XpAvfX23hB3Kx+0Dpu7cpTRhGx8MieuOW47DHLeZP5yRzNrpPUYgWHY6xo8q1rsXDSG+eqD11nsmmd0zMFtlsWpq4eKn8C8TC3IksgRdxd7bC02SVlxAMXU2NpUobK3fU2SLGQkarKmLpK3/a4tdKO6/OFgeuo7dHoOmy3+mw0bL74xjT5jJHsbRam82w3LTqWw72VACKZiUqaszOFQezlYbs+05U0PSegkNF541yVlKmxutVlaizDjaUGy5tdPntlYt/7Tukqkiyxvt1jfiKP54dsNSyiKHYYWd7sPJHb7KuaR33VqBRSvHN1mhtLDTKmxmcuP3yPGQQhn9xvJjW5C6dKyTXNDyLCgaiTLEG97ZBOqbR7LpqqMFFOkc8YpEyVYt7A0NKkDZXlzS6qojJVydDuOnhDx3szFl1t9RyUep+ypFPIGHhBRDGnc3etQ73tUMpLtLo2N5YC0qZKpZimlE8RRhHjpTRzEzk6fZdP7je4udziw1tb1NsO2bTG3EQex/XRtXiPMblrre7bPr/17fs0Ow6VgsnFU2UMXcF2glj47ZDrzV52r2nlvMlHd+tsN2MnkaFbTv+AfN1wiKPV3XHvAEbcnF8k+YzOwnSeenvHVUAg2E21lMLzA9p9l1xaJ5fRee+TLRwvoFIwsR2Pf/UHdwYDCtO88/oMq1tdFEVmZizNL/36x9xbb5NJaywMzjd5GDdO5fH8uOZ1bq7I6lYvGUSuFFODZv3R69gwZjR1hZ4du31W8iayLCHL8oF5yuEg5DCm/WolQ8+KncorBZPPXZ0euX+jbXNrpUUUxW5a1+7W+PaHG6iqxA9/dp5KYWdvsjcvX8qbdK04D5PPGDS7djLMVSmYjyXu8aU3p/nW9Q08P+DcXIk/+N4KN5eaSLLEWwOnkOFzNbr2yGObe27vRlPjvOHadjfJ24yXU9xf71DIGtiOx/Lmjpp9s+PA1MHPldI1Li5UWNnqYGgKF+aLh3pvT4okSU/V7yoQPAtkReW1M2N869oGEvDm2bETKay0t/7R7DpHdCRPzumpNB8t7axXn3kGdZYXTRhG3Fhq0Oq6cf3sVOmJhBNPbqZb8FRcXqxwefHBllnlfIrWQL0uHCjD2I6PaaiEYUSzGytDDhv58xmdO2stFFkin9Fx/Yha02Z2YN+VNlSqxRSyHNv53eu4fOXteX71926hdpSBkrXPP/nNT/gPf+IKP/K5hX3HND+ZT9xBSnmTL1ydTjZJE+VMXLCWJbJpnUreZNnuMlZKU+846KqCokjMjh+8aWl1HWRFom97bDb6uH7I7HgW2w3IpmNb09hZo8d6rc96rUcpFyuKW7ZPPq2Tz8Z2Z5VCCtcLWN7oAnGj5Z3VVqLsAbA5SMZPlGMVj/h+YZyIiuLC7Z3V9og190w1i6krdAaK4o4bsLzZ5exccZ9tLcRKZWvbvXjRluLNZzatP7YSwYMo5U026n2igWXtbjs7wQ5RFPEvf/cWAD/y2XmRbHvFuXp2jP/Lf/wl/q//73e5u9bm7/yjb3F5scy//yMXef3cmBjmEJwIilmDZbm7o+5QMNlo9BN1vZ7lsV7rMTeR4zOXYvXbMIxotG2WNjrkM0airFdr2Qe6OFmOT9+OFSOyksbZuWJyzb92r87qVh/X8/H8gO/e2OLNc1XyWR1NlUkZKlfPVomiiI/vN+h0HW4uNclndDw/5Df+8B7lvEmz4zBTzbKy2cULI87MFLiz1iKX1mn1PMYKJo4XIEkSlxbKbNT79B2fclFlrJiikDFQVZlzc/GAZHfTQ9fjwc5e3yOMYKqSZmGqgDSwhp4opbk4uA4rShwzHcTUrmKOMVDpqhRMthpx4iuT0g7dCCMBHctN/g5Dy1fB0bC82cEeNALU2zaNroOh+bx5fhxDU+n2bO6sdXH8ED8MiEKQVAlVlZmsZCjnDSIKpE0LTY2VWiRJot52SJkap6cLiRKjrseN2uPldKJK7foBrhd/dxwvwPNDWj0H1wuollI0Ow7bLYvx0rOx21QUmUJWT/YVxZzxSsdCsiwduogtOD5kB8OJh8XUVb745sxjvUarG7tUGZqCpiqUCykWpgsoisTKdpdqMc3KZhfL9TAMFa0vEQZy3CgZxSILshRrlaiKzOpWj8unx+hbHumUiuMEjJeyzE0UeO10JWl6PHsIVUzBi2EYm8DDYwTByaecNxkrppJciizFhX+kWC3RD0OIYKPeHqjFxYU8P5SS63PP9gbqrjKuH3B/o8O5uXidcv2AM9NFLszFMedvv7uE64eEUcSHt2tcXqwk8ejDqBRS3FtvEw2KrZLEiPLtmwOBinxWZ34iHszwg5B3P9qg1/eQJInl7W4yzGk5QazYuYv+oFCbz+iJm9+j0FR5UHwO9ymTTlTSiYteynx6++q9yLLE/OToEMqzbI6ot20a7XgdsJ2Alc3uQ9WLmx2HKIoo5gyRSzjGzI5nef/WNpYToKsKmZRKNq3zpbdmefvyJN+6to7thtxYapA1VQwjVmZXug6yDH07oN62UOR4KMLzAnIZjXPzRbp9F2cw2FXI6txbi0V+XC/kk/sNynkTQ1fJpzVkWSab0nFcG88PuLnUoGN5lHLGgTndQtbY5wwA8Z4yiiKmKpnk91EUcXulRRTF69lGox8r+g6+x6dnns7t71F1DIHgZeHNA8TWTjKlQoo//ZUL+37u+bFYmamrcdPpQulAhdmu5XFrpUnf8lBkmbWtHkEYkkvr5NM6miLj+mHsEF+MG0SH8cRkJcvZ2QJ+EOF6AeGgwzKX0UkP9kK7Y4VbKy22m3Hj+VbDSuK1YQPadDWzb4ADIIxiJXJVlSnqKsWsQbvnJHnPds/l5lKT+sBNbWkzVhzPpnV8P+Sf/dZN/sT3nSGKImotm5XNLjODGma5kGKsmKISpVAVmWLWIIzi2OPTFydGmkuWNjvJ0Em9ZVPJmyN7WFNXR2qNCnFNd9hsWsqPxhKaKj/SQaFSMFnejGughqaQSR1vtcy4viuGNx6X1e1e8rltNS3mJnIPHc4ZK6b2Odw8ClWRWZwu0LU8Fqby3F5p0bM8HMdndbNH3/EZL6Xp9FyCMKKUNdB0hVrLppI38IOIds9FGahhB0FEPhU7iHxwq8Y7b0wnzdjD3Hyj7eB7EfmMgSSD60WMl1Lcsz2yKY1iLkW5IPHG+WqSg58op4kiODsbn1sf3mlw4VRl3/vuWR4rm7Hg5dxEjoWpPB8NXISCMMIPwmRYJJ8x0FSZds/FD0IK2cfPm3p+QLvnJmuq4GRzeqZw6Nh5oz5ak1vbjmty5YLJdtMa1JXUeNDOC1Dl2JGj1raT69TidCHZ03p+yI3lJplUPER4e6XFwlSe9bpFp+8xXdX53JUp6m0by/GZHsvg+iF3V1uYhkoho2M5PltNm/kJDdsNmBrLMD0WP3+379LqOixvdJK9bKPrEIQhPdvnxlKdC/MFchmTD2/XSJsq+YxBFEV8/f1V1rd7GINzv913efPcOM2ugyJLz8RdeKPex9RVZsdzye2ZapZy3kycp/a6FE5U0qQMJVGtP8q8/3gp/cxqOoKXk+lqluGYwyf3GziDPr9ay+bfvLtMyoivId/9ZJvPvzaZ9JS9+9E699ZjIZde32N1u0c6pUEU57DPzBZHhrX9IErOyXw2zm/X2zaaKu8TLPL8EF2VkSUNpNht52FUCqkkpu30XT732iSW7ZMy1ORaPyQWmYj3AN++vs73bmwlwxLf+HCdn/rSGYJg6GIx+tjxcjrp69NUmVbPTu4zrMkelmxa5wc/HTv0xIPVduKCvFHvJ3sjQ1c5NZnj1nIzyRnPP0KUOZ/RyWd2crxnZ4uMl+IB2M1Gn7vrHTwvxDQePlybSWnMT+SSvsWpMTEIJnj5GYrjXTkdx/NxCSOWpTlJBHuWza51NAOlT0Mhn0VTerFjkcSIuMVJYbtpJb0wluOzstVlcfrx8+FiiENwINVSCkNXqLds1mo9lja6rGz1OD9fYnmzQ7fvEUUR6ZTGZDlDpWCy2ehTLZp4ftx8sjuR88lSI2keGy+nd4xwBsnTKIxww5Dtls0Ht2ucmy3uKyCdny+RSWm0unHT5e5C0Uf36nT7cVPi1FiGuYkcaVNjYTrPW+fH6fRdpscyB6qg3l9vs17r0+45rNd7KINkrK4qzE/mKGR0Tk0VyGd0fuBTc7FqmeOhaUpyEg7fzzCu3Kv1F2t8j/5070Tcbkvjw7L3OXeTSWlcXizT7XtkUtozT97k0jpXTlfo9j2yae1ELqQvgo/uNvjkfhNNlfnRdxaO+nAEx4D5yTy/8Ne+j1/6jU/45d++ybU7df6Lv/8HzE3k+Il3FvjBz8yJ80lwrDENlddOV2j3XFKmSi6ts7rVHblPtEt+JoqiJA4YKkIMk4kPuo5JkkQYRXGRdU9dyPF8thr9+HdSnHiSB52rw0urLEtkUzqXFyssb3YoZHQUJVbc63QDbq+0WNnqcmoiT0TchDLckwVhNFDXi10KBm8iLqooMpW8yfxUfkQlYvf7ffNcFccPkaJYHd31wqQwPFZMoWsKthMrCD6osWxuIkc2peEFIeW8iSJLLEzlE3XjoSLJYZAkibnxLJ2+hyJLVApi6PIoyaYMxgomfhBh6LH198pWlz+6vkGtbdPrewThjtqjIse2wcWMwRdfn8LxQs7PK2iqxDc+WB/YjUdxwjWK2GxYtPsuVxYrSULy/FyJettGkuKE7LBJOC6S5lnd7pFLuUmsGD1mPPoozg1eH/YnQwUCASxtdFjbjlVGDE3hM5cmuH63TrvrYLsBtbZNq+vQtz26lo/jhYCMoYV4gYIShaiqTBjGVuiGIceKVZrMG2cmyWUMFGXQyJDRT7Rq9cvMYWMEwclnby7l/kasWClJUMjqTFQy9C2PfEajnE9h2fFARCGnc2mxjGX7eEHcGD1kqLrpuAGSFBcqh/RtP1GOVJR4sPgwyFKctwrD2BlvN3OTOXKpuOC4+9oeRbC62aM3tO2OJBan8rGzTEYfKdbW2zY3l5sQxQXRK6crh2q8WNvuJW60KVPl8mIlaXQaxst+ED5WvHxc2FurflhMdnvQbArxkOzjDBsKXiyFrMGPfWGB1c0utuOjKjvf85Sh8tnLk8xP5PjmtTWCECZKGdZqXfzBXlSRfSzXw9QUKnkT09SYm8gxXc3w/q0aYbQ/ndzpuyxtdlBlGVWRubBQ4vRsgTCMsFyf5Y0umw2LzaZNJqXyhdemD32+DFXFIM7xLzzAXSfJlT/rzYVAIDjReH7Ih7e3kyHP0zOFAxu+Nxt97q622Wz06Vkepq7S6btUCiaSBFfPVpmqZvjobgNDkynnU7R7DrIsEUbxsMalhTIdy0NVZNJGrD5+ebGM64cjsULf9ri51KRneSDFw3dRBD/09jy3llsoCgc21A6P0XL9WHV/Mociy+wp+1HKG2w143xLPMC6k/MZDsYtb3axHH9w/NHAbXUnZry8WObmSpPthkUYRnxyv8GFU6WkgWzvUnuYtff8fIlay0aWnyxXM13NkjY1XD+glDOPjeuG4Nky8lWKnn3OcPTFDr45WUnjuAHjpTQ92+PyYgnPi/iffv9Ocr6lDZUfevsUH9zeZm27RzFnkDZU8tm4PpAd5DwrhXjfvbTRwTQU+raH7cSOPmEYUS2lSZtqEhftrXGMHN8DGk1lWSIM4zpFFEYoqkIU7fQENLsOmwOhJl2TY8HEgYBlerC/OWxc5vkBH9yqxY2mEpyZKYwMbAlebvb1ogy+o6WcyZXTFeYnc3hBiGX73F1rk01paIPel7mJHJoqUxr0zQy/SyubXTw/ZLKSIYriRuz5yRyWHYtQmbpCu+fi+SEpI3bn+PU/vIcXhLS7XuLArSqxkJE22Pts1vvcHbh5rm53SRvanvcRISHjeAH19bjx+sPbNa6cHmOj3mNlq0utbZM2VEp5kzAKD+wNehr29u0kInZ5k8uL5cR9dHde1dRVfuydBe6udciY2kOdRwWC48S+a9ouRzaAINj9u9HHZtM6X3l7nlrLYqqS2dfTd3a2mNQDC1mDa3friYPb3ERuRMRw6I4XRtGgRH/4PJ4sjfYF7B2s2N1/EAQhlhMk57U+yEO2uzt9DruZqWZJm7FAcyFj4PoBncHwc+4phJckKaKcj92ZZUkibapcu11LBmoWpwt89fOn2GxYjJdSBzoZPgjXC/jgdg1/EBNMlNJMV7O0Oy7VkknmIb1HqiJz+XSFRsdGVxWKuf2CHgLBy0glb9K3fUAikzqZ9ThFAX/Xmn1YoazjRMpUURWFIAzRVBVDO3l/i2e1TT5571zwwshndFqDCXaINyur291kQyRJEp4fJgrar58dY6vRx3KGlr0lWl2Hla0ud1ZalIspFEliq9Hn3FyJ73y0STGfYmOQeEwbKp+7OgURbLesfQGf74esbXfp9Dz6tkcha8SqOxk9OSaArUasBlLMxdP5a7UemirjBwefNluDomer60IkMVmJ7ef7tsdEJcOlhTK243NzuYmmyJyeKSBL8C/+zU16tofjxSrg5+aKia2PoSlMjWUSy+KFqTyaKvPJ/QZBEFEumPvUzFQlVkBY3ujCAyZrSzmTfNai3XXRVPmRin9p8/kOVzzv538Z+OXfvQnAD3xqNkmGCASaqvDnf+wSP/7OAv/sX9/gX3/rPksbHf67f/E+/+hfXecrn5njx//YolDrFhxbTEMdSVaOl9PU2zZ928c0lBFlM8cLkkHOSiHF6nbccJZL6/uKCq2uw1bDotbsU2tZ+H6cuLmz2qJSSDFTzVItpMmkNDp9F0NTmCinqbVsepZP3/Fw3YDvfrzJdDXLzHiWi6fKXDld4dvXN7AcnzfOVzH1WP20a3uMl9JExJbm0iDpY6gyH9zeJmuqFLI6uqbS6PRImxr1jk2u3sdy/OQaOFHO0Og4WLZPJqXz6YUyQRjyB99bpe/Ew5TVQVE6VsZ4dJJnbxwkSdITFWHMgX3yeq2PLEucmhSJ5KPkzfNj1Ds2rhswXk6BBO9e32C93ieKIizHxw9CDFWO/z8YjE6ZKrYbq2i3uy7lgkHG1JKBjExKY3oQF9pOQNfyklhTlqWkKSJlqPQsD88PyWd1JsoZSjmTj+/FyjvZtPbYinmPYvj6d1ZbvH9zm2xa463z4/saQgWCV5VhEy7ETU3n5opstyw6PYdu3yUIQla2+4R+iB8EBGGIrsmoiorf85EkGQnIpTVShkra0JgZzzBeTGOaGuNlocJ2UjhsjCA4+bR7Lp2+i+uHtLtucs2utW1OzxTIpuJzd3Yizfs36kiSxA9fmSCX3hmEKOVNvvPxBoaq8DM/eHYkx7Sy1eXeWgddl7l8usw3PlzH9wJmJnIjcbrnh6xsdfGDuEkju0v8Y6tpJa8VrzsKnh9i6AozY9kDBy6iKMI0lHiIQ4LT0wU8L4jd7AZ5wuT5G/0ku+35Ia2ue6BDH+zsEYaqm0Ms26dveyPF1pM8MFopmNRaFu3eIOf3ADfhKIrYbu1cO5odB88PE9eWZ0EYRqxsdXHcgErRFPmsp6SQNXjn9SnW6z0sJyCXMViYihuCTUNlYbpAKW9y/U6dla0OzY7FdrNPs+MSRiHlrEEQghtELFbSnJ0tsrTZIaWrpAZDf1EUNwo32g49y4sbGogdcmpNi4WpPNPVDNstizAMSZsaqiJj2T6W45NJaQRhxMpmB9eL8/17c9eOFyQDHBCfxwtTefwgQpFllgYCCgtTeRRJQtdkZp+hW41AIDj5tHsOrhcSBLGgW7vn8vmrUyMxCJA40ZZy5kCxtk8hawwaiiQKWZ1iTsf34zxKylRZnClwf71NFMXOGSlTI7WrdvWgYfZGx6GcN7EHKvmyFDuKSpJ0oEPIkO2mhesHtDrxwH2751IppLiyWOb9W3Ez1tx4jh/41Cw922e7ZXHldJnrd+u0Oi6GrvCT37fI9Xt17q91yGd1PN/nGx+sUS2l+NzlKS6cKiX7Od+PBWYc1+fjew0k4PRsAU1VmB3P0rU8fD+kkNUPdd2WZemBsddhEQ1eLz8LU3nurMZuW7Pj2Wcab+5luprhDz9YJxzsKaII1mo9HC+g1rRIGSpfenOGs3MlOn2XcsFkeaODosi8eb7K6ZkClbzJb767hOv6dG2PYlbn1nKTN87FLoJRFLt2zE1k6VouPcujUjCpllLIchx/bzUsoihuCh+KK/Rtj+2WTT6rU285GLrMpy5OHPg+hmrjxaxBo2OzvNUhiqLYWVuPxSFTg/XI9ULur7UxkteJ9zfZtI49UHCVJInpauZAoYdmx02UwonidUkMcbw6TAxqctagJre7MTqb1hOld4j3dx/fb6CpCp97bZKxXd8T1/X57e+scH+9HTtq91ws2+fquQqKLBNFsDidT/bae/tCvvjGNN2+S89qM1lJUyqYhNFQMT9+zNau3GchayABGVNjqpJls9HH0FWmKmkkSSYM4/yBIsts1ns02g6nJnOsbHXZbPQpF0xOTeb5g/fW+OheHU2Nz8dhPX15o8ONpSYpU+VT56vojxBJ2Wz0aXVjh7CUodLqxvspPwhp9x2qxdjhIps+OF+XNnXhGih4bmw3LRodm0xKY6qSeSoX1o16LGqcS+vMjufo2Q18P6SYM/jK23P89rvLhBG8dWEcQ1e5udxEVWQunarw4e0a67U+pq7wfW/NMFFOJ64Ne9ldj2wP1pMhW83+yFqlKhJeEOK4AWlDHRFPhPj6u7bdQ5YlZqqjuchay0JTFYrZ+Gf1ljWyp6iWTH7rW0sEAbx5YYxq0eT2ShtFkfjspXE+vL3NjfstygWTH3hrFl0fzXPujqenxrJs1DcBODdfemLRmLSpc/XMGB/eriFJ8VD1cIAD4r/3pcXyYw1vDGl2nHiAAyCC26stihmD4sB5qd6xmTYenJ/RVFm4+QheKXRV5sxMkd96dwkJ+NSFUwe6bx53KnmTjUZcL1GAty9NHe0BPQGBHxCEEUEIShTi7Z5KOSGMFVPUWhbdvpf0iz8JYohD8FCMPcFKLh0PTAynVM1dvy/mTH7mB85iuyFpU8V2/GRoodVzCaKIyXKcaLh2p4YXhFQKKf7Y61NcXqwQRjvBjnFAMfg7n2zy8cBytN62efPcGKV8irmJ7EDZItp3zOu1fjwUATTaDpoq7ytAmXrczKapMrYrYeoKpybzXDhVppgz8PyAj+41kud3vID76x0mKmluLjdpdV0ypsbH9xrcPt3k7Fyc2B1OEkuSlAzCvHV+nCCMHpjomh7LMlFKw67H7EaWJS6eKuP5IaoiPVWgLnj+3Ftr8/X31wD4E9935oiPRnAcqRRS/NU/+Tp//scu8a+/fZ9/9ft3Wdnq8qu/f4df/f07vH15gr/w45eFeofg2KMqMq+dGTvw+qQpcqIArmsKlxbKXFyo7LsWDuOGKIJbKy16fQ9DV7i92mJhqoDrhURRRC6t85lLE7iuj6rKjBVT9CyPzUbcBL9R77MwnUfXFLpW7EgwN5GnmDeot12CgYTIRCnNmdlCkojZblqsbXfpWh5311pISIzlU2iazA+/Pc+//N2bbLfihvlWNy4yJ+9RlXntdAU/iJL3X6tZZEyNlK6iKDKdvndkxc35yTzT1exITCI4GsaKaf6dH4zj5b7t8mvfuEez42A5Hl0rdkuZrmYJiTg7lefuRhfHDfGDiD/8cJ3Z8SyOF7DdsthqWqQNjWrRRFbknWKexAOVrNOmxpvnq/jBTjxqGiqvnxsb+dmzZqvR5/e/t5o0a4ZhxOdeO3mJBIHgeWDoSlJ0l2UJQ1c4P1fig9vbQHzauG6AKssEYYSpx0qznZ6LacroioKqynzu8iTVcpp626E42POa+slTXREIXna2mxb312MniVpkD4aA4yKjoSpJHN1q9dmuO4MmQrh+p5E8R992afccZqs5ZBnurnWSXJTt+IngiixLtLoub54dww9DTF0bEbW7vdJMGrJbXYfXz1Z34gNdxRo4eOiawutnxwgjHpqLUhSZ8XI6jnkliYwZO/gN84S7MXWVFjvN4Hvzj0OsXXsEgJ7tJepxksRzbSR70ciyxMWFR+f8JEnCUJWk0Ksq8jOP8Zc2OmzUY0XgesfmtdMVIeLylGiqwmunK4NhKJW9f95C1iBlqjTbNtfuNnHcAMdxSZka6ZSGoshMj2XJpQ0+uL29r7ieMlQmKxk8P2R5s8N3Pt4cqMnF53DKUHntzBi6pqCpMn3bR5ElTENF1+Lz6N5aOxkubXRsrp4dG2kYVHft7WHnvL290sQPQiZKaWRF4q3z44P7i9y1QCAYZdiovFbr0bd9IiI+vlfnjXPVEScHU1eSmt3idB4/jFAHDRWKIqEMrn2vnRnNxY0VU0RR9FiuEKYer5GnZ2LHooXpwqHWLkNTWNno4gUhmqqQy+h86sI4H96pUcoZBGGEJMF4OcNf/ONX6Fseza5NLm3Q67sYhsKN+y2I4nin3Xf4qOfihxGNts1m3QLpNFfPjA0+O4Ve32N5s0sYxdfnYCni8mJ8jX7zXPWhtUeB4EkYK6ZioaEoShx/nxe1lk25YFLKGyiKzNJ6G8sJuH63ThiGXJgv8b1btXjfE8X9CmdmC8iyjKbKXDhVplq0UbX4sbdWWmzULPp2gKrEitur272Bo6HEhfkSkiwhDTdIUizUNDeRH1lHwjDio3txo+tkOcNcNcuVs1X0B5xrwzzMcBBdVWR0NaJaSlHKmeianLgRAWQzOt7gtrQrpzsU3IHYZW04iDLyWsboHsoQjp6vFKqyvyZ1EJ4f0rN9JsppZEmi3rJHhjh+/3trLG10qLVs7q23WZjMM1ZKoakKV06PoSrSQ6+rhazBz/zAGb59bQNVVQbiDioXF8rJfYzBdR1iMarLCxVMQ+HMXIFm1yWKQjKmzvRYlnvrLZTBNT9lqqh9D7sTMlPNIhO7fre6Dn/wwVrSsOz6a3zpzRlaXYff+c5ykj9wXJ/v/9TcA4+90ba5mziZOsxNxLWXnu1xe6WFrsksTPloirxPdE0geN60ug63V1pA3OcmIT1xU2itZXFv4IbTaDssThf2xY6vnR0nCAJMXeW9G1vJvt92fP7CT1yh3XXJpBQU5fD1Bl2TkaQdN4+9A4nD4Q1TV5EkiWCXy1UYRnx8r5HUTXqWx2uDuPig59p7DfzejRqyLCPLcO1OnWxK59x8EVmSaXZdfvObSwDcW28TBCE/9s7iA99Ho20nQo3NtsOpyUN/BPt468I4lxbLyLKM5wV8eLu26z08eS1nf1+nNuL4K1y/BYJRwjBkdbubCKcvb3X5zBEf05PghzCM0lRNpt2zH3r/48hm0yYiQpYhCCKa7ZP3HhRZ4vJi5al7ucVKLRih03e5sdQkCOLN0HQ1i+sFdHoe2bTG9FiszLe23UNRJOZ3qTm7XsAn9xv0HZ9i1qBSMIkiksnYnhU3L85P5Pi1P7zLVqOPP3DgKA9Utestm5SpMjO+X32+1Y0bJ4eBWtfyKeVjpYrz8yVWt7r7jqlveyPP0bf9fUMcZ+eK3F9vk0lphFGcDB4rppJGS8cN2Gr0qbdtFFlmYSpPu+sgyzKOGxJB3PSmxRPMw8I5sG9TK8vSIydzdyfCbMfnk6UGthtQLaZYnI5V2kQi9mTw//naR0QR/LHXp0UTvuChZFIaP/WlM/zkF0/z3o0t/qffv8M3P1znW9c2ePf6Bj/8uVP8xT9+ZZ8qmUBw3Djo+qQoMufnS6xsdZElifmBVfNebDdIEjmaKqOqMqoikzE1/CC+9vcdn+mxLEubbZbWu5TyJpcXK0RRrFzbtTwkCTZrfVw3ZKKSxpkN2Gr2k2YUQ4utUcsFc0SZSlNlJsoZWl2HCImUoSDLcYOK44eYhkbKCAijiFxKw/VGp8AlSUJTd67xfduPhyYGyiF9Z3SIY2mjw3qth6rInJsvPffz+3EK2ILniyzLpE2Z1a0OjbaN6/nIkozrBWiKzHq9H6vOaGpcIKjEylPLWx1ShkolH7vNpY04sZlJa8xN5KkUTDw/ZLycThTdDmLvd/VBP3uW1FvOiJdkcxDXCwSC2GL83nqbbt+jZ3t895MtilmDtKHRaDlYVtxk6QUBiiQlytq9QfNlIEvgg+OFVIuxap2qyMyOZ4UCo0BwDOn0XJY2OliuT0pXubRQRlbic3u3E+Naw8INQtSBBXant5Pfavc8giBKXK1qLYv3bmzheAGGFqvWDmM/Q5NJ6SZBGMYDXruux/1dani+H3L9bg3bDUgZKqcmc6zX+4RRxEw1GzdLPuK9KXLcDLW8K+4fxj0Aa9s9ljdjtdzFqTxhFGE7AZWCSavr8PG9+r7Y2Hb8ZI8AsdNGJqXh+yET5fRLWYQ8TM7v/KkSSxsdwihidjz3xCqAD2L3d2PYXCqGOJ6MKIq4tdLi/kYb2w0SJfnh39kPQj6536Bredxfa9O1YvGkIAyJkAkjiSiK98uSBGEU0bd8Js9miCKSJugbS00gVsmdn8zjByF319pkUxoXT5WTc+X0TAGiuFEhl9G5tFBGG6wzvV159O2mzTfeXyOfNTg3VySX1lFkiXLO5L2bW8iyxGcvxwrUw++LLMfOlq4XJMNpAoFAMGS91mNpo0PP8nC9gHxWp1pMEQQRrheM5K1OTeWRJAln4GKaMTXuD6971WwyvLg3l6HIEuu1PksbHRRZ5sxsYV89cC+VQgrHjZ2GsmmNyUo6OdaHPcfseJYPb9dQ/ZBC1kCVZSLia6YkSfhBwMf3Gtiuz0w1y/xknqXNeJA3M1Dz3qj3mChnyKQ1Gq0gaRyPIuj1PSwnVuW/sdSMVc5tH0NXEoXy3dfrw9QeBYInIT7fnv93y7L9ON8xcMreqPfp9FwaHRtDUwjDiL7l4fpxXX6ykqHZiev2w+Zq2/NZr/W4u9ah3XXRB4PP37y2hiJLu7dCifOG7fi4Xsh4ObUrn7rzfr0g3FG2BvwweuAAB+ysKT3bo5Q3qeQNai0bRZboOx5hqOL4AdVCimopTSGrc3+jEw+JVDLomoIfhCPK3I4bEIYRsiztqyksTOepNW1MQ2HuAU5+gpeX4XUw3lPU6Voe+YzOublScq10vICthkW9baHIMkEY99UMafUcDE2hmDPo9F10XWGilKHdc/mjjzbQVJm5Pa6eu/H8gBtLLTabNpv1HpNjGb5wdXrkPgtTeeRd1/VsOt4rXDxVHjRQR0yNZeLrrRTR6rhkUirTY1mK2ThfkEvribp/vWWTNlQsfGQJ5ME52+w4I/mD5i4XwYPoO/7I7a7lE4ZRcv4NheX6js+DvbkEgufDSF6G/X1vT/NcjY7NWq070oOW0hVAoW97yQDH7sfms4dzj661LO4MhqMWp/OcnS2yUe+jqjKnJkd7AHNpnVLexHEDcmkdddeAiBeEO25TkAjNDBkvp3H9nT7G8T0Oc62uk9RR+rZHOqWiKjKyLGE5Hruv9VsNiw9v1+jZHsWswdnZYhJXBwOnkOFwmeMFBEH4VMOtw/yMrsqcnimw1bDi6/jE6OczFLZxvNFewSGrW11WtrooiszZ2SKnpvI7/ZbVLGvbXXqWTyGnn2jnYsHx5P56m416H02VOTdXOnF5QNcPqbXsJFZwvQDfD5N6y4khiuIpjsGy/ajY5zhSSOsYmkIQRGiagvGQHpfjztP2cp/cdy54LtxZbdHpuQRhxM3lJtJAeWJ2fOeLVsgaByYtV7a6SRDX7DhkUxqaKuP5ISlD5dxckenBFJumyPiD4G/4+722a0Nb0+Frzo3nE5u2riWh6wqeH1DMGfGErqFgaMqIi0cpb1JrxVNashzbLO/F0BTOzT1s6yXR7rlEUVxY69ouM+NZbiw1KRdM+o6PocuoisSZ2cJDnufxub/RwXbijeJWw6KYMw5lhSw4em4uNfn6+2tIEvzZr1446sMRnBAkSeLN8+O8eX6cla0u//hfXeMPvrfG175xj29d2+A//tNv8plLB9s0CwQvkr7tsl6zKOWMQynQ5NI6F0/FyjuW49No22TTWtIsAvEw0zBuGCul0FWFlKnR6jnks/HGT9cU/ujjDXqWnyRsv3drmzfOVRNlsNWtHoauEkYR3b6HBMl1HCCdUrm0WGYv2bROpWCSz+hYrk9nEIMYuoKqwEQlHQ+ahBGVYopC5uFF4FLOSAZHZFlKVNHjzy+2gIU4Drq31ubKaWG5/KqRMlRcL8QwNDIBdC0Vzw+wXR8ZmK1myZgaG/U+280+k5U01VJcCEwZKmPFNLomMz+ZY2osy8IxHhidGs+g3pCToufeZKRA8CrjByFjhRSW7aOrcfN1baDutNWwKOYNWpZLRlPo2T6aplDIGtieT6/v4XsBsi5TyBlIksREOc3lxbJothUIjphu32WzYVHOGxR35XHcIEwKj5bjo6gyF+b356Tmx/MUsnrilDE7sdOQUy6kME2VxqAZKG2qOG6cO+oNGsCHCq6nJvNJ/k3X5JGCSjlvJm4Ljh8Q2qBIEpbtU2vbI40drhfQtTzSpvrQwYnsrrh/N44XsLQRNy76fsj99Q5vnI/VZPu2x91bcYF3b2ycTWuo6k4MMV5KH1p50PMDun2PlKFinuDk/0GkDHXk7/OsKeXjBh6IB4LShkqjbaNryokryh019bZNvTVQXrd8TF2hUkglufW17R7dvofjBbh+AJKELMfOPAAZU8XQFPKGiucNGwINdE3h1FSeMIx496ONZL97Z7XNpy+anJsrHZjvVhWZ86dKnD+1/3eVvMmy3cX1ApodG1VN0e453Flt8frZKn4QstWymB6L16PVrT6TlezIWmIaCooi0WjbmIb60OFygUDw8tLuuQRhSCFjIMsS7sDdHuL8XzFnUM7Heb2UsT+2UJW4oWk3h7nueX7A/Y0ODGp5t1davHVh/JGPm65mmR6I3G81+ly7UydjqkRRyN3VdhKz7MbQVc6fKrHVsLBdnzAMsWyPUs6g0Y4V+JXBoO56rU85bzI9luG9XY5G5+dLtLou+bSOqcm0uiqdfixQUy2nKOUMlje7OG6ApirkMzL5jJ40pB22GWsYl1YK5iOHWgSCo6KUN1ivxfGEoSsYmkpH8pIhdVmWqJZS6KqMIqlU8mYy+D10KAuCiJ7lk89q1FoWXcvD1BXGi2naPXfEHVCWJSp585H7BF2N91BDF4HD1EKmq1myaZ0/+midzYZFIWdQzpts1fts9vqUsiYTlXQivHF2tjjyeFWRyaU11gfx1fRYBlmW6FkH1xT2OrQ9CXvXbcHJYrinAGh3XTbqvSRmdxyfjXoPSZKIopBO36PRttE0hWxKY6aa5eN7DTKmxuJUnsXpPLIsUW/bzIxliaK4X6VSMEfqeUNWtno0Ow7dvkva1DA1lZXNTqJaDwdf1yGu9+3es7R7LilDZaqSSRSMMymNt86P863ra6xsdpgop3nj3Dhjxc1EAHZxNq6LTFTSpAwFa9Bb86gaRDFrsLrVjfdSElSLKXw/pGt5tHsuGVPbV9sTCF4UhazOypZEGMZx49O4wRRzBuu1XvJd71pekmfbaliUcmYsahiG5NM6KWPHnbeUP/z3P4oibq+0kvzE7ZUWbw6cOjVN2beGjBVTST+gLEsUMjpr210cL2BmLDt6/T2gR272AGHoIdPV7MB9CyYraYIwjhHi91Tg2u1YyEaWJUo5M3mdZsdhs9FPBtcURSaf1WkP8rP5rP5M3cnGiqmk32Ev99fbSb53q2FRzu/E8rbjszx4f74fcnetxaWFCroqY+ixA+tu8WuB4FnS7btJ3O56IffW21xePFl9LrqqEEYR0WDB2i3MepLQNRkpgpB4Da4WTl4/8ZsXxlnZ6sUu8JrE25df3X5IkUUXjLDVsFjb7mE5Pj3LI4oiNup9rpyuHLgx283uyXaIA5orpyvU2zaGrowEVmdmihDFqtTVYmaf5SfArZUW9cEARqVgcmGhRCalsl7vUWtZQKxEJknwm9+6nzRKXjhV4u3LsYdZOW9yabFMb6A88CSNLLIcb/I6fQ9FjpNBr5+tUi2lsRwfz/Np9T0uzBeZrDxblYtoz4e69zMWHE/CMOIf/PL7AHz/W7OcEgGy4AmYqWb563/hs3x4u8Z/80+/w+p2j7/5D7/BT3//Gf7CT1wWqvqCI6Pdd/m1r9/FHSiBft9bs4duyG52HG4sNWJ1YDW2ex42mGnqTtxwbq5Is+vQt32mxtK4XkijY7PdsLi/3qHWshgrpJCkOIGVS+tcXqzQ6jmxepYfIhEPgUqyxOx4lk7PQ5YfnOgaef35Io22Q6fvYDk+99a62I5PylDRVJnF6fwjN3Klh8Qg4Z7reSgu8K8kKVPjUxerbDctJCR+94+WaXQdHC/ADyOWt7ooclyU84OIlK4yP5FDkmIFXVmWIYobpY67iko+rfNjX1jg/kaHYtYQQxwCwYB62+bmchOiWBRhspxGUWRkSeKNs7GleRCGVEsmN5dapE2NIIoo5wzmJ3N8eHObRtehmDWpNy2+8NokE5WsaJgUCI6YZsfm175xD98PkST48mfmmBo0UKSN+HpuuXFsmX7A+ZpOa/z1P/dpfu2b90kZKj/2hVPJ71RZYnGqQBRGGFqsxpz8TpE5NZsjimLRklLejJ2//JBy3tincp1Na/hBvNYsb3ST34W7AlbL8bl2p0YQxOqvF0+VyKYPp8A3JNoTAO+Of8OH/E5TFa6crtA4ILf4MGzX59rtOn4Q/w3Oz5dE0+JjMFnJYOoqtuuTz+jcXG4lBfyFqTzj5advFHtVCAfCkfmMjqpIpAyVK6crybU6jCI6fZe17R7NTpwHf/vyBKEfcXq2QDqlkdJVbq40ubfaJgwjNutW8vwRo/niuAAZ58sfl+lqHEM0Ow4rW102BgXZYbNxFEUjbj7Dc3X3WpJLa1y7U0/Wv3NzpRFHSoFA8PKztNFJmozzGZ0Lp0r78l7VUpqFqXjQtFIwn1nDcBgxsk49brrt3nqb5Y0Oq1td0qbK7HjuoTm78WKK+2vtgaCMQhjCwkyeYtbE9QIUVU6aUMMIijmTH/vCAkubXUpZg9mJHHfXYmG9QlYnDCPurnYIonDQmJ3hk6VG8nqyJHF6Jk8YgqJIh8oFNdo2X/vDOC5VFIkf/PTcA9XUBYKjZH4yTzat4/kh5byJ4/qsbHVZnMoTSXB5scylU3FzmKLIXD5dpt520FQ5ORcMTWF+MkffNpkey9Kz/BERqmIuzklajk8xaxxq0FuS4v1PrWXHgx+HbIxyXJ97610sx6PRdehaLh/cqkHEoLHy4e6pyq5B9mGz6N6egWdVUzho3ZaeJJgUHBkP6idpdGyu3a3FLhh+wOx4FsvxExe/+ckcb1+epFJIYTk+i9M5LCfAD6LYFGf4tNH+mtboa+/8MiJ64H0fxv31dtIQWsjqnJ/f+R7WWhbfvr4ZD4VudLm4UObP/dhFvvPxFilD4a3BsKWpq3z18wvcW++QNtV9qvV7yaQ0rpyu0O65ZFMa2bROLqNTKZqcmcmjaUrsliyEcgRHQNrUuLxYjgeKUhq5x8zD7WZYQ+/0XbJpnZXNTiIaA7C00U6GnwpZnYsLJeptB/WQ8eaQPSkDgjDi+t069iCfND856uozVkyhqXJyXb5+t86Ht2sAlAsmX/nMfOyo8RjX3yHf/9YMN5db+EHI2ZkCIXBruYWhxQ7mKUPh7lqHYsbg1HQ+Ocbh+9jN+bkS2604DzP2Ap3P9x7HSC51zy9dN+SDW9uxe4kE5+aKQhxa8NzYe50/iW0uEfDmuSqrWz2QYKZ6MvfIpqEhSRYS8fC58oi+7uPI9701S73tsF7rcXGhyOJM8agP6cgQlf2XgO2mRbMbO188bfJNV2WQYhU8dZBgdL2QZselWnp4QDI9lqHVdfD8kExKY6xgoijygcc0O56lN7BiK+aMkQn2ruWxttXlk/sNKoUUsixRa9ksTEfMTuSI2CmAAdxZa7G23aVreUiSxK2lVjLEAXFQ+jRBbdrUmBrLoDYsZFlKms4OUgw4CM8P4qmxMLaCfJyGmtnxHD2rgR+E5LO6mPR/AGEY8t6NbZpdh8XpPAtTz9YR5XH5N+8ucf1uHVNX+As/cflIj0Vw8rlyusLf+9/9AP+vf3WdX/m3t/nl37nFjaUm/9mf/8yxb9oVvJzcW2vjDpQfoih2HjpsQ/ZWs59s5Hw/pNFxRly4dE1J4oa9wxarg0LC9FiWe+tttpqxE8jVM3HxJpPSyKQ0XC/geze3kYCLY2VMPS66rm33kCQSt4KNep+P7tYwdZW3zlfRdXX09XMmm40+dwe2r62ui+MGZFMp2l0Xy/FHkrebjT7tXqyeN2xqelAMkk1pjBVTbDfj2GJeNLS/MoRhxFotHpgu5QxyaZ12N1aIzqR1bD8kiCAMIlpdlyAImaxk8IOAu2ttDF3lp7/vNNXywTG/5fisbfeQZYmZauaRQ9gvkkLW4KqIZQWCETYb/aSyUcwZWK5PNqUzVkwxN5nD9gKaHQdZkml1fWzHo913qbdtKqUUfhA3cGfSGl3Hx3IDGh2bP/q4PXCcLIqmZYHgCLiz2k4abqIoLhIOhzgmK2kaHRvTiR1lJysPbobXDI23L0+hyBJIO9f0vu0RBGEiGOEH8cCz5fjMT+Tw/JBby03SpsZrZ6t0LQ/XC0ib6r7YYNg4FIQRjbZDz/LQVDlx0oV44GzYxB2GEdst+7GHOExDZaKSZqPWR5Liwu2QbFp/aGxs7IrRD0uj7eAHO3+D7aZ17NbD9VqPruVRzBoPVN07SuLGe4Nmx0kGOCC+dokhjsNTLphsNy3aPQc/DMmkNayBQADAVCXD+ze3AXD9kLFiiqlKBkWRcb2AervLqZk8vb7PWDH+3NdqPZY22jherJI5N5GLnW4kmJ/IPVUzdClvomsKaVOj1XWQpB0reE1VmK5mkgLnbtGa4VqyUe+PrH9bzb4Y4ngEfhCystUlCCImK2nRJCZ4JI22Ta1tkzZUpsYyx67RdrPRT/7d7sW5NNNQmaykWR/EAQtT+Yc2Lz8phqYwNZZJcoCnpnZiimbHYbtlJQrfB62Vm/U+mqrEbhqdeN0+M7lTa3K9gJWteOh1aizDdstG1xVUVSYII7q2x3bT4vWzVXRtjBtLTRw3IAhDai0LXZMp5swRl7a9tayF6eLI7dlqlo+tRlJLrQxEbQ7LrZVmsi4HQayO/DR15Ot3a6zX+gMHyJOltio4Oq7dqbFRj12GLy08+Huzu961MF2Ip1IjmBnPMlMdFVHUVGWkrgBQKaaotCwMTYn3RpN57q21WN3uUs6bjJdSbLds+raPoSmHdutTFPmh8W+jY1Nr2SPry62VFooskU3F+6Z7q20USSKIImRJojNwTTiIIAhptp1k/1Jv2YTTUeIkPhwoeVY1hQet24KTw2QlQ6PjJA7eQ3eWrYaFoamU8iatroPvx/uHIXdW40HCZtehmDMIw524XlWkRFF/aiyDMRBjc7yA1a0utZZNOqWST+lkUhqlnEF/0Ih9avLxv5ubjZ1B9fVaj9XtLpqicPXsGO/d3EKWJExdJYoi3r9V40c+d4ovvTmz73myaf2xXO/TpjYSfyuy9EzcbQSCZ8He7+fTcH+jncRw85P5pAetkNUTNwyIa+FBGO27xh6G4bVp6IxXyZs0Ok7y+90OF0MKWSO53t1cbiY/r7dsthp9vCBEkiQKWf2x6p2yLO9z8huuDZv1PtmUwWun49eVpdjZuN1zGSua+/oi5adYF4b7fd8PmRrL7Pt7troOW00LU1eYHsuO7FFmx7N8fL9xYE9l2tQYL6fZrMf7q0JW3/msox2HFYHgeZDP6JQLJvVBTDo7/mzFzl8EiiwxOZZls2EhyRLT1eyxy60cBtcLkGUZiQhJkhKXspPERq2H6wcoikTP8mm07VdWeOJE78Du3r3Lf/6f/+c0Gg1yuRx/5+/8Hc6ePTtyn69//ev8wi/8Ar1eD1mW+cpXvsJf+2t/7USefAfR6NjcXmkBcSAjSdITBVRDKsUUqiqTTWl0LQ9Fjos0hv7ogMg0VN44F1ura7sUZg4im9Z56/w4QRiOBFueH/DR3TpBENLuu3hByPRYFk2V46L1AceSTWnUO06SiHweqqOL0wVmx7PI8s5xHJZP7jcT+7VW1+GNc9VDF9MyKY03z8ef6VCpXLCfdz/a5ON7sSLRylaXlKE91XnwNNRaFv/9r3wIwJ/54QvHshAvOHmYusr/8qevcuV0hb/7S9/hw9s1/pNf+G3+sz/3Ga6eHTvqwxO8YuTSowmGTPrwCSRjz7Vs7+1HPdb3Qxw/YLyUZmY8S9pQsd2dyc4oimh13MSqudlxmJvIMTcRq3vIUlx06dsuv/Xt+0kzWs/2+PJn5h96vK2uQxjFhYy+7fP25Z1rea1lJcMe9ZaNokiPLEafnikwN/FksYXg5LKy1U2Uzda2Y6vuaikeWi5kdQxDYX27hyJLFLMaza6H6/k0Og6yIqHIEh/crvODBwxxBGHER3frsdIKcYOnKKgLBMeb3deZjKlx/lSJzK4m6/PzJTw/4PRsgfVajzurNoamEgHtroOuKzh+QL1lk03puF7Iu9c3k0Rdp+/y+demhDOHQPCC2Rcvp3Zua6rC1TNjeP7Dc2dBEPLRvUaS6+rbPpcWy/FzaMqIKqbjBRSzg+HQvsv3bm4njhv31zvJwHWj43D17NiBMbgiS1xeLOP5Iaoij+StniaG382pyXxckJR21GSHPOvYeG/u8DB5zRfJRr3P/fUOsLN/OK7FVV2LBX+GQ4fH7bM87iiyxKXFMvfWWlCDvuVzc6nJpcUyubSOrsVuM6tbPTRVxvNDoijio7s12j0XSZJYr/UAiXwmbrjy/ZCVzS6yLFNv2ZyZLfCpi+MAz8S1VVNlJivpWB1fkshndxq9ZsdzTJQzB57H8OzWi1eJm8tN2gMV1GbH4fVzY8J9V/BAun2XGwMnvzqxAuvs+PESBjE0hX4QD//JsoQ6GASbn8wz9YA44FmyNwcIcX7kk6VGci0Lw+hAQRpDV7CdgGopzVgxlYi+DPn4XiMZbGx3XYo5PT5fB9dJTZGTda+QNXjrwjjfu7mF54VsNSzaXZfXz409Vn36QbXUw5JLjQ7S7Y5LH5ebyw3evb4JwMpmF1XZ3xwnEOzl5lKDP/po53ujKTJn5x79vRkvpankTcJoZ6D0USiyxKWFciLMtNXo0+q6VAopDE3hxlKTnhWfw/WWncRjT0PP8mJXgz3ry95zrVpMY7s+YRihKPJDB8xlWUJV5GQoXVN39mdnZovMTwbPtKbwoHVbcHLQNYXXz+7PMwz3bhPlOLY/PZ3n/mYXorjpb7tlsVHv0+17FLIGra7L62fH0DWFSiFFMWvsOwc/ultno95ns95H12QWpgqcmS0kdQhFlp7oOj8cvgJ4/1aNfFpHliU26/2R/QggRE8FgsfkoBjuzfPVJL58/+Z2cv7JsoT2FLH6ZCWT9Ef5fkij6+zkkx6RH8ikNJyBiCRELG91kKX4WHqW91gDWg9jb17L8QJSZiz0qCoS3b73zMQobi03E9eT5qBXUN29R7nfSPK7QRBxampHLONR+4CFqTwz1QyyJNG1vJGBGZG7Ezxvzs4W8Z5xTPoiiXuKnGRoq9lxmZs44oN6AjRFRlMlQEKSZYq5p9vbHAXv3dzixv0mAJt1i3PzZTHEcRL5G3/jb/Cn//Sf5k/+yT/Jr/3ar/HzP//z/NN/+k9H7lMoFPiFX/gF5ubmcByHv/gX/yK/+qu/yk/+5E8e0VE/W/q2v+f2g5UbDsOZ2SL31tpk0zphGKIqCmPFVFIkehSyLKHLOwHB/fU2m41YYebsbDGZLLUHVo226zNeSifBiO0GhGE8ITZTzdLuuuSzOnO7EtHjpTSOG9DuueTSGpVCiounytxba6MqEufni0/1GTyIJ1UyHv5NHNfnzloP243tKg+rWr73MxXsp9Gxd25EUG9bRzLEEYYRf/eXvkOn73J6psBPfd+ZF34Mgpebd16f5tRUnv/z//Ob3Fvv8F/8d7/Pn/uxS/ypHzz3zGznBYJHsTBVoNV1Wd7oUMgZvHl+/NCPnRnPEYQRfdunnDcPlQS5s9pKVHnTporjBcyO7xRCertinyCMcLwgGUK1nLgwIssSmhormV6/u83KVpfthkUxZyBJEs32wVPp+YyOJMXNb5IsMZ6LXcbKeXPEqnQ4rLn79mEUBY+TS4LgxbD7++q4cYOWasosb3SYrGRiZeNSismxDK4fUcnr9O0AQ1MYL6XRNSVOehIrUi1vdlFkibNzxaTpK3kt6+n2BQKB4PkzP5EjisB2/aQ4CnHz9o3lJp2eSz6jc3auxOJUno16H1WRmRqLVWwrRRPL8YiiiLcvjZPP6LsKHfG+296l9i04enqWx82l5kCwIjPidiB4eTg7V6Ldj11my3mTq2dGB+8lSXqkUIfrx81+cRwcN10EYYjlxHH0mZkC6/U+mipj6AqOG6AqErW2lQxiAGw3+0n+KQwjbMd/YNH0Qcc1Vkxhuz6trks2/XSiGQ9rwHqWsXE5bzI7kaXRdsikNKbHds61IIy4udQY5BV1zs0Vn2sz6UHszd/2bZ/S8erBTUibGmdmCmzU++iaMuK+IDg8rh+ONO32LI9622az3icCml2bKIrIpjVyGQPTUBOFZtcPOT9fQpEloggmyik8f3Q/+riK9o22zZ3VNhHRPkV8XVM4N1didTtu7tjdRAAPP4+LOYO5iRz1tk3aVJk5Zs3lx5G+tVPf8YMQ1wvEEIfggfRtP2mCSm4fM87OFrm/0SEIIqarmZHv82Ebsfdydy1uxjZ1lXNzxUcqxO99nb2fW+8BddRzcyXur7cJw1j5f/cARxhGI85UjhdQLqT4ZKlJFMXicjPjmRFnDQnwvHDkMX4QDZosHswwF2oag/erq8hPWCO8sFCiYzls1PpUiimuPIXYR31P/rTeth9wT4Fgh+3W6Pek1rI5O3e4xyqKzON+8yVJwg/iPgPbDeLbYRyH1Vo25q7zum/7Bw5xNDsOt1dbRFHE/ESeiIj76x1kWeLMTGFkAONB68uVxTKW47NVj13srp4d49vXNmh1HeYncw/tEZAkifOnSizvclrbzd59UxRF3Fpp0WjbpE2N8/PFx9pbPWzdFpwcDtrPz47nCAf1uErBZLKSQdMUNup9bEdiXE6ztBmLCziDHh3bDZLn2XsO+kGI4wY4Xpx7dL0wuT56fpjUKs7MFg/VW9Tpu9xcarK82UGWJGRZYrqaIaWrSc277/j88OfmsRyfjVqf2Yksn70y+Qw+MYHg1eGgGE6WpSS+PDdX5N6uGPhpc2TD64iqxD2C67VYtGJh6uH5pC++OcM3P1jH9QPOzRbjPUDTQpLi4ZDsmsbmY+wJHkQhazA/mYsdhUyVIIjiz2QQo/ftZzfE0du1XwuCaGS/bzk+G/U+ra6Dpiro2v78y+6/00EMr/d739NxG/QXvJyc5D6XIIzYavZjJw7i2suwp+gkcfVMiT/4wMX3I2bHsxSzJ09k3HGDJB+aNlV6/ZPnJvKsOLGV/FqtxrVr1/gf/of/AYCvfvWr/K2/9bdYXl5mdnY2ud/ly5eTfxuGwaVLl1haWnri142iiH6//+g7Pkf6tofnR+TSGroc4LpOMp1pKMZTH9/s2P6A5Emes9v3uL1cx3YDVFkmDDzOzxUBuLncSiZO7685GGoYb+aCkCj0cL0QCTg3m2WuakLk0d9lLVrJKVRy8eITBi7jRY18qjj4nXbkf6PdmFpEs+OystUjjCI81+HuiouhhGQfQ71c8GCqBY2VjVgBXVEkShnlSL4D/+TXP+a7n2yhawr/+//g009clBAIHsZMNct//Z98H//t//d7/Na3l/jH/+o61+7U+U///U89tWqQQLCbvh1fj3MZfd8E/RvnqrxxrvrYz6nIEovThUffcUCjbbM1sFEOgggzo/LpiwWu3akThnHwU9qVSFEVmWxaozuIGfLZWK0niiLaPZf7Gx0s2yeb0ggGyeW0qTH9AJvHRieOseYmcmiqTBhFTI9lSRnqSMGnmDNZr/fjgo3EQ5W0BK82pZyZqKxm0xp+ELC02YltegsmZ2aK+GFIf6CaUimY5DM6KUNNEqczYxls10/Um8Mw4s5qi6tnxkibatLEcVzVnAUCwQ6KInN6Jr4uBmFEs+OgqTLNrkO76xKEsd22psp8+vIErZ4bD2tJUC2maHQc5ibypEyV0zNF8lmdbFrDdn2QIJ81xJ7zmHF3rZ0Uu5c3uxRzxj4bdcHLwacujMOFww8770UC2j2HKIoIgvj7kk3F+71ay6aYMxKly7XtHksbcVxQKaTp9r3EcW5hppg8p6bKT6y+PDueY/YBb8fxAvq2R8bUjpWL7PRYdmR4Y8hmvZ/kJNs9l7Va74UXN4s5I9nnSCdg/1AppB57SADA80O6lktKV5+4uP6yUMqZNAaNE7IsIUkSG7U4d7m63SUK4fTgfD01maNnuWw3rbgxWFe5vFhmYapAEEasbnW5u9bC0NQn2n8OG/2Ge+rbKy1KOXOkUFnMGU/ctDA1lmFq7OVQTGv3XKIoGgg8PJ9Cbim/sx6YhjKSaxAI9pLPxHmu4fn7rJqLniWKIlEtpfblzg7iYbnHIa2uw2Y9Xi8tx+f+Ruex3R9yGR1FkZL46EEK3ilD5cKp8oG/GzqotnbldLYaFoWMQSETP1+lkBqJhQ56zKNqRrtzoZbts7zR5eygrvqkfObSs2l2nalm+eR+I8l/zoqBdMEhmK1muTlwEEKC2UMKHD4NhazB6laXbEqj2XHIpjSQYG48x1YzPr9kWTqwybzbd/nezS0MTUGSJG6tNAbiGwGSBLdWWvFeb0Auo42sL8N8rCzLfPby6Ln3xTdnDv0esimNiwsHr0d72W7a1AfDMj3LY3mz+1g1GNNQhavOCaHbdwnCw8emB9Xjhns7zw94/1aNbEqn4dlk0xq6JpM2H3ztVhWZXFqna3m0ug4pXUkcZu5v7apVrLR44/yj64d3VlvUWlZynVyczpPPGJyayrE+2CuVCya5jMFPfkkIZwoET8rc+GgMN7MnhjP3xMBhGNHpuyiyRPYpe0/KeZNy/nC1ynxa54c+Ow+A5we8d3M72fdsNSwygxz6k+4JdjNZySRK7422nQwnD3N0h9mnHIZSbnS/b+wZEu/0XKKBO9LTDujvfk8CgeDhyJJEq+diDc67dt/lOaX9nivFfJpzc6VYGMjUSJ/A/HspZ6Iq8sAdHspPUIN4WTh5f70Ba2trjI+Po6rxW5AkiampKdbW1kaGOHaztbXF1772Nf7BP/gHT/y6nudx/fr1J37809Lo+mw248ZEU5eZq+pIXoTlhJi6xNryNmtHdnSjtPs+793u4w0SF5MljaAbq/UtbTn0nR0FmqC/QS41SG4GEbYVoMoS3Ujhev3RrxWFEXY/QJGgHypcbx6f1TWMItx+gNNzUWRYXm4AEFkbZMzjU9w+6UxkXHp2SLWgsnL/Fisv+PX/7XdW+KXf+BiAn/uTrx/aaUUgeBJMXeWv/Zm3uLxY4e//i+/x7esb/G/+b7/Nz/2p1/clhgWCJ2FoOQ6QMlUuL1aOxApxt9vF8Hba1Li8WKbVdUmb6r6GlQunymw346n5sWKKKIr45H6DVtdlbbuHqspUiyk+fbEKSEyNZR5o4T5MDkE8gY8E85M5xoqpkQaXfEbn8kKZTt8jl9aeOqkleHmZKKfRNRnHDcimNK7frdOxXDbqPaIowvYCPvfaFPWWjWmoyXDel96apmfFavpn50oj6o9A4mR3caGcONdUi6/uJlcgOGmEYcRHd+uJg46myQRhyP2NDp4XYrsBn7syyVfenmd1oOwfRhHfvr6JH8aODpIUJ7v+2BvTrGx20TWF6WrmRKvhvIzsji0A9twUCHaQYHY8S7vnIktSPJy1i3AnpcbUWAZTV3C8gGLO4LUzFe6ttsikdE7PFKi1YneOct585qqqPcvj+t14wFpRJC4vVo69+8++PcYRnIilnMnFhTI9yyOf0Z94uOY443oBH96u4fkhkgTn50vHfljleTJWTKGpMn3bp5DVk4E+gCga/V6qqswX35hhqpKh2XU4PVNgaixLEEZcu1PDsuNGqbSpsTCVe6L95+7Xi6J4sCMeHxMMubfWZmPQOF7KG5x7QN7gaVmYypNN6QRhuC/XIBDsxTRUrpyu0Ow4pAz12A1x2K7Ptdt1/CBEliUunCo9UHRos97n7lqce0ybKpcekHvcHz8//nXb0BSuLFZodBxMQ3li0Ytzc6V4wI54Xb+z0tpzrI9+zKM4KBd6XJipZvmht+fZqPeZKKdFk5jgUMxO5F749yab0ri8WKHdc5Om1GHOvlwwk3hs775lebPD6laPpY0uKUNhppolDGF1u4c9yMVWCqP7MlNXubJYodl1MPQnX1+ehuOwvxE8f5Y2Oqxt9wAoZHXOz5eeashYUxUuL5aZHsvQG4gyHCZncP5UiXLBZGE6z/p2Dy8Iub/eodl1GC/FfUDBIa9dYRiNXDvDKP7ZD3xqjk+W4gGqc2LASCB4aqbGsvzwZ0+xXus98lo8rKm3e/Fw1cx4dt/Qx4tippqh3XORJAlVGV3vnuW1rpQfzdH1LO9Q+5TDsDCVJ5fW8YOQSiE18jyqIjM3maNneWiKfOhhF4FA8PREgCJJ+EEsmndSc3ET5TTrtT6eHzBRSSPJJ09o/OJCGcv1aXQcpscyTJRf3TzD8a6qPYK9G5PoIRuCbrfLX/2rf5Wf/dmf5cqVK0/8mpqmcfbs2Sd+/NPywe06Rm6nyDM/XzhWyuubDYu+7VPM6kwBt2r3WNu2gIh+aNKNylw9U2buVMTNlRZBEKsFnJnJ79gi2h6bDRtNlZmqpE/sYrmXds/l1ko73pBGEZWCSSGrHxiMdS2X3/veOo4b8Pal6oHKgYJRLr2g13nQENdvvRs7/PypHzybTIgLBM8TSZL46udPcW6uyN/5x99ibbvH3/rv/5B3Xp/iP/zxy0e2oRa8HAwV7iBWfev23RfacBOEEWvbXRwvQFViC3RFkZgefK836n2WNjqU8iZX9xxXz/a4tdxEIk6uqIqcKPmU8wYr2z2qxRTlQpqLC+WHJl5KeRNWmqzX+qRNjc+/NjnSILPd7PH/+7d3iIAf/uwpMcAnoNG2+fBODVWRefN89UDVyVLOxPUCrt+ps17vkx2oVm/W+7FjzFqbNy9UubvaxvVCUqZKpZBGkmxURSYII1KGSrWUYqsRWwnPjGdZ3uzg+SHVYuqZDRJ1LZff+c4Kju3z2dcmhQWvQPCc6FpeMsDx4e1tWj2XUs5AkWV0TcbQFL7zySaVvInl+NQ7NsWsTrVkYmgqhqYkxZdcWj9QrbHesvi3310hIlZ/HHuF1UyOktmJLLeWY/XzSsGMFUEFrzTbLYvf++4KEvADn56hMLC8NnWV6WoWRe6DBOdLRb51fZNOz2F+Kk+5MJpLKu3KLZk6XD27o3r5pA4Kq9tdwjBiqpJ5oIvCdstKCqdBELHdtI59TDxeSlFrWdhOgKEpTDxhI9l2s89HdxvousKbZ8fQd8V93b7LVtOKc5tj2QP3HPmMfqD672Hw/IDVrR4R8RCPcYwcUIY0Ok7sHkU8JLDVsF7pIQ6I1RyHn0HKiPeqy5sdVEWmWDAIgnhws9VxWNrocGOpSTlvMF6Kz+Fuf0chLmVoQPREcb8kScxP5BJnv9nxbOL65wchq1tdgjBispLZ19xoOz5rtR6yLDE9ln1iF+Kho4gfhIyX0k81yHTtTo3tpsV0NcPZ2WfT5BVFERuNnbxIo+3g+cFzGY6VpNi1QPBy4vsh372xie0EnJ0rPpPm5ZShHtuByXrLjpsgiBurtpvWA+uXw3PMD8KkSercfGnfNa2QNchnddpdFz8ICYKQ++ttpqvZBzaaNjo2jbZD2lSZKKeRJAnTUJl6yOcWRRHrtT6W41POmwcOyMiyxHg5ndyeHjSW+UFINq3ti892P6Zve9xfb6MqMtNjmWTd3UspZ5JLW3T6bnzfF5jjD4KA33tvlc2Gxfn5Im+c22/DJhR+Tw5311rcX+9QyhlcOV1BPsKGnqP43tiuj+XEjty7z9vd8diQbtfmV37vDnfX2lxYKDFWTLHV7OP5IdPVDI2Og+349B2f9mqTP/xgjTd25X1NQ2XSUGm0bW6vtEib6gt9v2MFk+2mFTeBqi923RC8OJY3O9xcahKEEfMTOU5N5p/a7dDUVSYrD3+OoVNGJqUxUU6jyBIT5TSuF7DdsFAVmUbHpta0SBkq+YzO/J6cQBhGrNV6uF5AOW8m185KIYXjBrR6DqaukklpTI1lUFU5cR49LGEYsV7rYbvBoAcnPs8tN+C3v30fy/b59KVxTk0d3qVGIHiZmCinY7HCR2A5fjLAAXE9/ln2nPzud5a5frfOTDXLH//i6QfeT1MVZsdz8fCaBPMTOVpdh1bXRVEkZsaf7bXOcuK4QdfkRMwBoG/71FsWvUEuZnos81guxJIkjQxyNzs2H9yOa8ivnR5jrJhCV5Xn8p4eRuw8tg3A62fHhDil4JUjiiIiIuqd2IVnspImijhxbhy2E/LBrW08L87DnLTjB5iuZrm71kZXFSr5FGMH5FVeFY5npu8QTE1Nsb6+ju/7qKoaJ9jW15mamtp33263y8/+7M/y5S9/mb/0l/7SU72uJEmk048Obp4X+ZxNe9CIiASFXPbY2NGv13qJS0jXdigXDBodH0WWWdnuYnkhmXSKnlvjx99ZpFLK4YfRSFLW8wPu3e8MbEcDJNl7aqvg40I6naZazrO63WNtu0fPgZ7jkstm9iWM/vlv32FtOw4ON2rL/K9+5jVSKRE4HWf+yk9f5Yc/O8/nX9u/BgkEz5PTMwX+m//0B/gnv/4xv/y7t/iD763xjffX+OKbM/zo5xcGCfoTGK0JjhRdU3ZsOyWeuDHjSbm31mZ7YG0uSXBpsUza1FBkiZWtLr//3ipA3HQSRUmTWhiG/OY379MfNMJuNi1+4o8tIssSYRhh6CqXTpW5uFhGV+VHKhXtKGylkBWJZtcZSWT833/5AxqdOC5bWu/w83/p7cQlTvDq4fohv/mt+zhuPHDd7Dj86BcWDrzvx/caNLsOrY5Dz/YwdYW+7REEIbeWm2RSGm+dHyeIIiQivnezljRIOl7A2dkii9MFZqpZZFliaaOTWPLWWjZXz449k2a+X/7tm6xsxQpf99c7/OzPvEZWxKQCwTNHV2WQ4MNb21y/20DXZLo9l7PzJabHstxb7xBGIdfv1LEdnzCCajHFufkSc5NZJkqZR8Z7/+O/vkGr6wCwvNXl537mKopy/Jp+X3ZKOZM3z+uEYfRYBR/By0kQBPzS1z5KCoEb9T5/5WdeT35/ajLPVCU+v9+/uU3f9pAkmbWtLttN61DF1yflxlKDbj+OqZsdhzfOVQ9cZ/bGG8dxmGAvmqrw2ukxXD9AV5Un2i/brs9vfWsZ14/jvnbXTQQ9XC/go3uNJHZzvZDTM8+2UeTje41kv9bqOLx+buypVFifB7omP/T2q47jBgThjhLjeCVNp+ciyxLX79X5vfdWKWR0bksSrhfyY+8sxvtyiVguDp7qOjJZyQwGvKKRwYSbS82kYaMxOPeHQ0hhGPHRvTruoDDY7XtcOf14zVVD7qy2qLfiQmm9bfP62bEnGpC4frfGH320CcT7FU1RODWVf6Jj2o0kSeiqnLxXRZFQTqCaneDo+cYHa8mAwtJmh5/44mnyL3GDjKGPnscPW6cMTcGyfVY2uzh+QKPj8NHdOq+fHb2mybLEhfnYkfTa7To9y6dnxU1WQ4X93XT6LjeWmslaGUbRoUTSVrd7rGx2gXhI9fJi5ZED12lT443zVfwgfGie0fNDrt+tD+qecRzxIHcfWZa4uFDC9UNURX6hzsi/851VvnVtHYDbKy0ypvZA92LB8WZtu8vvvbcKUXx9DMKIN8/vH8p5WWl2HG4tx045200LJBKHgIP4R//zx9xbb9O3PdZqPX76+85wdrbI64P8ar3tkEkpfOvDTWQZbiw1afUcfuRzC8lzJGvPgCiKh61fBIoic3mxfCTrhuDFce1OPamZNToOn399+rm/Zqu751yCJA+hKDKyLFFrWWw1LExDxdRVzswWKOdHB5TvrbeT2sUHt2qU8kayF3/93Bhvnq+CJD3V93d5s8N6Le6tqbUsXjszRspQ+Ze/c5N7g1js7nqbv/xTlxPxDIFAsB9NlZGk+DoGzzbP981r6/zq790B4NZyiyCK+BNfOvPA+89N5JKBbE2VmaxkYvFHWXrgQPSTsFHvJ+vEdtNi5KkluLvWTj6Pds/h9V3COY+D74f8xjd3asj1ts2Pv7P4XN7To/jNb91P8r5bDYs/8f0P/jsIBC8jEhFLG93k9spm90T21P3y79ykMRhE+daHm/zEO20uLo4d8VE9Hs2OQzalYeoqkgQ9239i4auTzonNPFcqFS5fvsyv/MqvAPC1r32NmZkZZmdnR+7X6/X42Z/9Wb74xS/yH/1H/9FRHOoz5fR0gWLOIJPSODNTODYDHBCrh+6m1XHIZ3UULd5wyYMEZqMdLyCKIu8L+mw3SBKZQKJG+rKgKHKiQjfkoPdYbzrJvx0/YHvwmQmOL1NjGd55ffpEXtgFJx/TUPlLP3mFv/u//X7evjxBGMHvfmeF/8N/+/v85b/96/y9X/oO/+bdJe6ttfetQQLBQSxO55N44/R0gbT5YlWid18bo4GF8jB5O0wWD9lu7VwjXT9MBjgAOj0XIjg3VyST0shndc6filX9DtPk1LM9IE4OKZI0cly+7ycDHPF9fZpd54BnEbwq9C03Sb4ByaZ5L0EYYTk+KUNlvJSmlDMoZg1yaYN8xsDQVbqWRxDFw862G45YA+/+HuqagqrII3F4GEaJQu/Tsvv8cvwgieMFAsGzxTRUzswU6NseuiaTMTU0TUFXZTRNIZNSyZg6rh9iOfE643gBnh/i+9Ej9yCuGyQDHAC9voe1a70SvFhURRYDHAIgdrzq7bpmNzoOQTB6bg6v9bWWjSxJqIoExI0Sz5Pd8Ybnh8mwwl6GSn6x2mz6xKjJy7KEqatPnMPp9NyRz2R33Gc5/gNjt2dBFEU7A/fE14Oh6vlxopQzmR3PkjZVxoopZoSj2wh9xyeK4gYJWZawbB/XC5AkiUbbIQgihl+jzYFafdqM9+eZlEYxZ7A4/XTDCpoq7xuc6I7seUNcb+d77gVhMtQAsZv2k7L7vAiCCPsJ45Jac3R/UnuG+5Xz8yXyGZ1sWuPcXEnkfAVPxO7vZBBENFov9566UkgxNZYhbcbuoVMPUaJfmMqTz+ogwWQ5jaEpOG6Av6s+OGSYwwuj3dfXg/MePctLBjiS24dg5H4RI/nFh6HI0iPzjI73eHVPSYqf80U3Yu92ZgZY2eo+4J6C4852yx45D+qvWD6vtydGedQ5t92Mv/vmYBCtZ3tcPDUQlVJkzs0V0VQFTZMpDxwQm2135Dn2vsaL7m84qnVD8OLQVBlDV9A1hVxaw3GeTf7/YTzse63IEufn4xg5bapMj2XQVBnH3b833f24vu0le4wwjPD8WHztab+/u+OCKNrZq2zvyp14fshW49VaDwWCx0VTFc7uqqmfeYaiJEvr7ZHba5uPjjV1TRkRmjQ05ZkPO+xd6yrFVNIjsTCVY9cWBNsJCJ4wB9d3/dEa8iA+ex7v6WG4rp8McEA8iOqK/iHBK4YXRGRTKqaukNJVTEPFP4HngeXEol+SJIMccXu1ddSH9Nj0LC8Z1pMk6anyzSed4zMB8AT8zb/5N/nrf/2v8/f//t8nk8nwX/1X/xUAP//zP8+Xv/xlvvKVr/CP//E/5v3338eyLH7jN34DgB/90R/l537u547y0J8YXVM4P//0yid+ENKzPAxdSew+92I7Po4XkE1phwoailkjUdCSJDg1lefWcpuUodLtu+TSsdvERPnBiduUoaJrOypXB1kWn3QKWX1EXTyf3f8eZyay3F6JF9dMWmOsJOyJBQLBo1mcLvA3/vLnubnc5H/+g7v83nsrbLdsfvNb9/nNb90HSKxuS3mTct6klDcoZAxyaY1sWieb0sil4yJ1Nq2TNp68sUVwctHUZxNvPCnFnIE1SEJrqkxml/LdTDXDB7e2k6TJ3C57UVNXKRfMJB4ZK6ZQVflAm/QwjOj0XTRVfuCQSj6tJy4e8XHt2PepqsrUWDpxzirnDcaKL/563e27REDuJVZyPClkUzq5tE6nHxfxJh8Q8yqyRD6j0+65FHMGsxNZcmmdd69v0LU8FEWilDNjZX7iRj3PD1CVePM6jI+jKKLdc1EVmWLWSAY31D3nzNMwP57jxnITEDGpQPC8qRRSvPP6DL/+h/cAkCV468I4E+U0rhfQs1xMXSUMQhw/IGUopAz1UHtmXVeYrKQTRbpK3hSuOgLBMaCQTVHOm0lT1WQl/UCHnJnxDOu12B1LUaSHNkU+C4o5g0Y7Hv5Kmeo+EZZhvJNL689E9X4vlhM3tGfT+rFsRCrkTNIpLWnw3P33SJsamroj4vKsc5uSJFHI6rQGTs2ZlPZEDgYvgulqlunqo9XPX0WyKQ1VkZMBnFLOQFNlmh2H8VIaQ5MZfvUXdp1jY4Nmgp7lEYQRTxP1R1FEp++hyFKyfyjmdvL7KWP03NdVmbSpJkNEe/fYj0Mxa7AxaBbWNZnUEwpVzYxnE5cDSYLpZ6h4nTY1Li7sV/kXCB6H6bEMHw/cbXRdofoQJfiTTt/28PyQmWqWuYlHD+7pmsLFgZNGe+SadnAt0tBVDF1JGp+G19fh6+YGObx8Zk8uL2se+Hx7KWYNmp049pFlidwzVH5M6Uo8pDJoWn2a9fN5sjiV596guU5RJM7MFo/2gARPzPRYnD8fDg/NjL1aw7SFjM7qLhXx4iPOufnJHNfvNpBlmUpB58ufmiW76zGFrMHbl6fYqFv0LY8oishn4xzw0GUzn9FHlMtfxv4GwdEyN5FLBFNzaf2x6kGHqYUdRD5rIG11H/i9zmd0PnVhnFvLLaIownK8gfDEKMWcMbKHGPYmaYP9xbOgmDOSPIWiSGQHn89cNctH9xoAsfjEC3LIEQhOMqWcSSl3uBj6cbhyusK3rm0kghUXFo6H41sxZ4z0740V08gSyR6j1nSS9SWbPlzv5EFkTZVcRo8FKHl43+STcJgeUAB9Ty9FpZBK6tECwauCqatMjmXRtdGeopPGdDXL7ZUmEaCrCq+ffzKnoKOkmDOS+pgk8cq6cABIURTtlzURHMj7778PwNWrV4/4SJ4Ozw/48HYN1wuRpFhVam/SsNlxuLHUIIpiC+TLi5UHJk/3Pq5vexSy8WRqq+twZ7WFqspEYYQsy1yYLz108XO9gO2WhaYojBXNQyllnzRaXYee5ZHPGgdaMgdBwB9eW8d2Qj5zcSJWJBIcC9599110XT/x64Dg1cDxAj64tc17N7a5dqfG/fVO0hh/WGQJMql4qOPAQY+UTi4d386kNGRJwg9CvCCM/+/Fqq2uF+Lt+r8sS6QMlZShkkvrVAomY8XUINl9vNd9sQ68GLabFq4fUCmk9jWNbTX6LG92KefNfU1jruvz8f0GSBIXTpUPTDyEYcTH9xpJ0mV+MsfkAxrh+rZHs+OQMlRK+dGklW37/Oa37xMEIV/59CzZQxaGnxX31tpJ48tYMcXpZ6iIIng0B60Ftuvz8b0Gmipzfu7BMW8QRmwNFHWrpTSKLLHV7LO23aOYNZiuZlEVmdWtLsub3UETYMS5uVKicP3x/UbS6DA7kU0aAg46Z56U3THppy+OCatxgWAPzyMmuHanxupWlzOzRaYqGa7dqWM5Pj3bJZvSWN3uEQQR5YLJ5y5PHigKcBCWG/DND9cgivjspQlSYohDIHgmPO06YFku37y+gSzLfO7yJLr+4Gv43bUWjbbD/GSOSuH5XpPDMGK7aRGEEdVSCnVXgfLuWjtRaq6WUixOP9sYtNayuLXSgigeILm8UH6hinSHpW+73FhqoWtxrlOWd47R8QJqLQtdVRgrPvu/VRhGbDUtoiiiWkwdy8/nVeNJ1gLb8al3bAxNoVJIjfxdPT/gk/sNxoop3jg3njzmMHn9wxBFETeWmknD8sx4lplqduTcHyum9tUD/CBku2khSRLVYuqJRT+iKGK7aeMFAWOF1FM5VC1vdNhqWkxXs0yUX94GecHx50HrwM2lBl3L4/RskfxLKsCx2ehzdzVu/s+kNC4tlA+9PozkRx5xTfP8eA1SlHgN2mpYySDX7tcd5vLSpvZYjdSNjo1l+xRzxjN3Jfb8gK3m8a97fnBzm/V6jwunSsxNPPtB3Zed41Q32G72WdroUsobLEy9ejnjruXR7jpkUtojYyXf9/mtby/T6bv8sTemmawcPITct30+vl9nfbtHIWuwvNWlmDUo5gzOzBRIGeoTrT2Cl4/nsRb4fsgnSw08P+TcXOnQww9RFNfC2r1H18IO4jDnUrNj8+HtGkEYYeoqs+P7h/lrLQvHCyjlDHqWj+s//T5gL/W2je36lHMm5mBIPAgCvn1tk67t8tb5ccrPOZciEAw5TjHBceKjuzXev1Xj1FSez16ePOrDSdjdv9e3vZG9zfn5UuKIPKznPim263PjfuNQfZOPg+cHXLtdx/GCQ+WKXD/k43t1gAf2UgieHrEOHG8O01N03Pnux2v8o//pI2wv4LOXJ/jzP3blRA6jDHvNn0cu5jhw2HmDE+3EIXgy6m0ncbqIIthqWPsu4Bv1XjJV77gBra5zqKJjMWeMJCYKWYM3z48/5BH70TWF6bGXW6XtIEXw3SiKwjtXZ17gEQkEgpcRQ1P49MUJPn1xAtgpkq/XezTaNvW2Q6Nt0+m7dC0v/n/fS247bkAYxSqrnb7L2gs4ZlWRqRR2XELKOZNi3qCUM8mYGoauDBQEFHRVAYlEfUaWJSQACYjAC0KCIMIfDJQEQYQXhLhegO0GOK6P7QbYA/tK2w2wndGf5TM6/8m/91aS8BO8OB4Wd1RL6QeqF+q6ytWzD58y79teMsABsFHvPzBxnTa1B24WTFPlj3/x9ENf63kRhhEbgyI3xEMv85O5kQY7wYvH1FXeOPdolQNFlvZ956rFNNXi6Pd6qJo/bJ7KDQbd+raXDHAAbNT6vHXh8WLuwyBiUoHgxXN5scLlxQoAy5sd/CBEU2WKWZN2z2F+VyPN4yhypHSF739r9hkfrUAgeFpSKZ3v/9Tcoe67MFVgYeo5H9AAWZYYP6AZOgyjZIAD4pzi/ETumQ4RrNf6yQJn2T7tnrtvmPo4kDb1B8Z9xnPObcoDh03BycY0VKaNne/J3r/rQc2zjT15/c1G/4mGOBw3SAY4ANZrPWaq2Qee+0NURX6spq8HIUlSMpz+tMxO5Jg9hOq/QHBUnJ07Hgqzz5ONXbFBb5BjPuzadFB+5EFoqszULgXt9Xpv5HW7lkc+oz80l/cwYtXhx37YodDUk1H3fO3sGK8xdtSHIXgGjBXTjBVf3Xgxm9IOFFE8CFVV+ZHPLzzyfmlT5exsEc8L6VourhvQ7NgUswbrtT5XTldeyqYjwfFAVeUkX/g49Ad76iHrtd5jxfOHOZcMXUVTlcQlcL3W3zfEsVuIImU8n/OkfEDeQFEUPnf1BSVSBALBI7m4UOHiwuOvZc+b3f17d1Zayc97lkff9p5JHgTiGvKjehiehEbbSVz/DpMr0lWZq2dEzC94tTlMT9Fx5/Zaj09f2hmI225Zz2y9epHs7TV/VREdia8ge6fHNG1/oXXv1PthXDgEAoFAcLwZFskPWyh3vYCu5dHtu3T6u/6f/Mwd/Htn8IMIVFVCVWRURUbXFDRVRlcVNE1GV2U0VSEIQ2wnwHJ8Wj2HWsum1XXwg5CNen+k+HfU/LtfOS8cDl4yVFVOhn0gthc8achyfJ75ftzAoyhSMtAkeHnQNBk/iP/GkkRiR66pMpJEMnT9LBWrBALB8WHvub23GUDs0wUCwYsmiUGDXTHoUyjQHYSuyfSsnduaiHMEgoS9efwn3csqyp79xAncEwsEguODrsokl27pxeUodE3BdoKd1xX7I4FA8JzRlLiuMBRSGv5fP6DXQiA4DqgvoI6g7tlbHNR7JBAIBCcFTZOxhpoXL3Bv8zQ8q1yRQCA4WaR0lb7lxTckSAlh4hON+Ou9gpTyJjPjWeptm5ShMlvdr/4yN5EjCCIs16dSMJ9I0UsgEAgEJxtdUyhryoHqJc8Dzw9ptG22WxaNtkOjY9PoxG4hjY6D5fgjrhmeHxBFDP6L4v+I/w1xc5GmSiiDgRJVkVBkGUMbunmomENnDyP+987P4v9PjWXEAMdLiKmrnJkpsLrdQ1NlFqb2K5yeBM7Pl7i3Flu6zk3knnkDneDoOTtb5N5aGz8Imalm0QaJN01VODtbZGWri6qc3O+wQCB4ONViCsvxaXddsmmNqUqG+xsdHC9gopwWCo8CgeBIOD9f5N56B4D5yRzSMx4kXpjKE0VtHC9gvJQ+tIKuQPAqUMrtyeuPP5mqu6bKnJ0rsrLZRZFlTk0JJwuBQPDkLE4XuLPawvVDJsuZF9Y4sDhd4O7gdacqGeGkLBAInjumoXJ6usBarYeqypi6Qjali9ys4NhiaAqnd9fCJp/9d3Xv3mJhWpwPAoHg5LJ7j/Ei9zZPw7PKFQkEgpPFO69P8Y0P1rDdgCuLZdHbfcI5/lcbwXNhpppl5oDhjSGqEm+2BAKBQCB4UWiqzHg5zXj51bX5Frw4KoXUiIXzSSSb0rhy+vjZzgqeHSlD5eJC+cDflfImpRc0ZCcQCI4GSZI4tae4en6+dERHIxAIBDHZtP5cY1BNVcRaJxA8hEfl9Q9LKWdSyon9hEAgeHp0TeHCqYNzF88T44heVyAQvNqMFVOMFU92XUHwavEiamFibyEQCF4WTuoe41nligQCwcmhkDX46ucXjvowBM8I4WUnEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUDwAhBOHIITyXs3Nrm72mZ2IsunL04e9eEIBAKBQCA4oQRBwO+9t0qz4/D6uSqL04WjPiTBK0rXcvm331khCCPeuTpF+YQ7xQgEgueLZbn8zndX8PyQz12ZEk5mAoEg4d5ai+9+skUuY/DF16fRdeWoD0kgEBySesviD95fQ5ElvvTWDNmUftSHJBAIBC8FN5cafHi7RjFv8sXXp1AUER8JBIIXy++/t8J20+LCfImLi8JdW/DqEAQBv/OdVTo9hzfPVzk1JWpwAoFAAHBruckHt7Yp5gy++Ma02KMIBIJXkj94f4WtusW5+RKXX+F9khjiEJw4vndzi1/7+j0APrrXABCDHAKBQCAQCJ6IX/vD+3xwcxuAG8tN/tyPXmSyIuxGBS+e//E3b7DV6ANwd73NX/mpq6LpUiAQPJB/9m9usLY9WDPW2vzsT79OSqwZAsErz3bL4p//1g38IAKg03P4E99/9oiPSiAQHIYgCPjF3/iYXt8DYK3W53/xk1eO+KgEAoHg5LO23eVf/PZNwjg8wnEDfuRzp472oAQCwSvFb317iW9dWwfg4/sNUqYqGtkFrwy/+nt3kp6em8tN/sIfv8KYELASCASvOOu1Lv/id24SDHK4XdvnJ95ZPOKjEggEghfL73xnmW+8vwbE+yRDUzgzWzzagzoi5KM+AIHgcVnZ7I7cXt7oPuCeAoFAIBAIBA9nfbuX/DsIoqQhViB40Ww3d757vb5H23KP8GgEAsFxZ7tpJ//u2z7NtnWERyMQCI4Lq1vdZIADYKMuYluB4KTQ6rrJAAeM7g8EAoFA8OQsbXSTAQ6IhzoEb92tVwABAABJREFUAoHgRbK6tbPuRBEsb4p1SPDqsDsv4QfRyPkgEAgEryorW91kgANG+xUEAoHgVWFta2fti/dJnSM8mqNFDHEIThynpvIjtxem8w+4p0AgEAgEAsHDmalmkn+risTcZO4Ij0bwKjNZSSf/zmd0Sln9CI9GIBAcdyYrO9evTFqjkhcKdgKBAGarWTR1J907MyFiW4HgpFDI6uQzO3uAiXL6IfcWCAQCwWGZn8yiKFJye3ZcOPAKBIIXy+7eBlna3+sgELzM7M5LaKrMbFVchwUCgWBuPI+6a48yJ3K4AoHgFWR+aiculCVYeIX3SepRH4BA8LhcXqwAcG+tzdx4jtfOjh3xEQkEAoFAIDip/OgXFillTeodm6tnx4SNs+DI+Hd/6CJf/94qfhDy+StTKIpy1IckEAiOMf/OD57j6x+s4nghn7k4jq6LNUMgEEC5kOLP/sgFvvvJFoWczucuTx71IQkEgkOiKAr/wVcv8Y0P11AVmS+8Pn3UhyQQCAQvBZOVLP/eD53ng1s1KoUUn70i4iOBQPBi+dKbM6QMha2GxcWFMrPjolFT8Orwo5+bp5TTaXVc3jxfpSxqcAKBQMB4Oc2fHuxRyjmTz12dOupDEggEghfOO1dnSOka67Ue5+dLnJoqHPUhHRliiENwIrm8WEmGOQQCgUAgEAieBpEYERwHUrrClz8zd9SHIRAITgi6rvD9nxJrhkAg2M/UWJapMaFsKRCcRPJZnR/53KmjPgyBQCB46ZibyDM38eoqOgoEgqPnM5fEAJng1URRFN65OnPUhyEQCATHDrFHEQgEAnjrwvhRH8KxQD7qAxAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIHgVEEMcAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgELwApiqLoqA/ipPDuu+8e9SEIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIDimfPrTn37o79UXdBwvFbquH/UhCASCI8J1XUCsAwLBq4xYBwQCAYi1QCAQiHVAIBCIdUAgEMSItUAgEIh1QCAQiHVAIBCAWAsEAoFYBwQCgVgHBAJBzHAteBRiiOMxGC6sV69ePeIjEQgER8W7776LrutiHRAIXmHEOiAQCECsBQKBQKwDAoFArAMCgSBGrAUCgUCsAwKBQKwDAoEAxFogEAjEOiAQCMQ6IBAIYt5///1D3U9+zsfx3Pjbf/tv8+Uvf5kLFy7wySefPPB+/+yf/TN+5Ed+hB/6oR/iv/wv/0t833+BRykQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQBBzYoc4vvrVr/KLv/iLzMzMPPA+S0tL/L2/9/f4xV/8RX7jN36Dra0t/vk//+cv8CgFR0GjY1Nv24RhdNSHIhC8krheQK1l0bO8oz4UgUAgEAgEBxBFEY2OTaNtE0UiZhYIBAKB4GEEYUStZdHqOkd9KILnQBRFNNoiLhIIHgfPF7k/gUAgeBnp2x61loXrBUd9KC8VzqBm1rfFdVMgEAgEgpeFMIyot20aHfuoD+WpaXYc0WMnEAgOjR+E1FoWnb571IciELw0qEd9AE/K22+//cj7fO1rX+OHf/iHGRsbA+DP/tk/yz/8h/+QP/Nn/szzPjzBEXFntcVWwwKgkNW5cKp8xEckELxaOF7Ah7dr+H4IEpybLVLKm0d9WAKBQCAQCHZxe6VFrRUnlos5g/PzpSM+IoFAIBAIjidhGPHR3XrSqDw1lmFuInfERyV4ltxcbtJoxwM65bzJ2bni0R6QQHDM8fyAD27V8Aa5vzMzBSqF1FEflkAgEAiekkbH5sZSEyJQFZnLp8uY+oltIzg2WI7PtTs1giBCkuD8fIlC1jjqwxIIBAKBQPCUfLLUoN2NG5irpRSL04UjPqIn4+5am816H4B8RufCqRKSJB3xUQkEguNKEIRcu1PDduLB//nJHJOVzBEflUBw8nmpsy9ra2tMT08nt2dmZlhdXX2q54yiiH6//7SHJnhOLG80YTAcvOk4TJZ0NPXEGs4IBCeOVseJBzgAIthqWmKIQyAQCASCY0QYRskAB8QKO34QoioiZhYIBAKBYC+2648ozW83LTHE8RIRBGEywAFQb9sEYYQii2K1QPAgmh03HuAAiOJ1UQxxCAQCwcmn1rST+qofhDQ7DpOVl7qN4IXQaNsEQfzBRlEcb4ohDoFAIBAITjbO/5+9/w5yLE3PA9/nWHiP9L686e5qb8f02B7PoTQakaIoUhIvpQ2utCFR0hWDERzx0iy5oqQrSrt7Q1w5UqRISqKZIUczHN/T49rb8lXpfcIDBwfH3j8OEumz0iATicznFzExlV3AwYcs4Hz2fV/TbgRwAN68uF2DOJby1cafixUDNdNmIC8RbalcNRsBHIB3JpBBHET7d+x73tURoq67/9Jfpmni2rVr+74OHYz5eR2G6f07S6IAv7MIkVHCRIfGp0prfg74jn03Q0RE1FZEUYBPkVAzvQUWWRZ5UJGIiGgLiixCFAU4jrfWxE3M40UUBSiy2DiQriocFxHdi9+3du2P90UiouNh/d4O7+/Nsf73uv5nIiIiaj+yJEKShEagZjuPm3yqhKpuAQAkSYDChG9EtA2fIgECGgkA/JzfEDVF+44kdqCnpwfT09ONn2dmZtZU5tgLRVFw5syZ/TaNDsjIaRtTC2W4LtCbDiIUUFrdJDpmGMS1vVjYh+GeKLJFHQGfjL6OcKubREREROucG0pgcr4EAOjrCLM0MhER0RYUWcLZgThmMxXIoojBblbhOE4EQcD5oQSmFsoAgP5OrmEQ3UskqGKkN4ZMoQq/T0Y/qxMRER0LfR1hOK6Lqm4hEfUjHmG1iGZIxQIwTAeFcg2hgIIeZqklIiJqe5Io4PxQEtMLJQiCgME2nhefHYhjcr4Ex3HR1xGGxCAOItqG3yfjbH8c8zkNqiyxajlRkxzrII7nnnsOP/qjP4qf+ZmfQSqVwn/9r/8VH/vYx/Z1TUEQEAwGm9RCarZgEEjG2UEQtVJnMojOJO+TRERER1XAJ+PcYKLVzSAiImoLsbAPsTAPsR1XQb/CcRHRLnUkAuhIBFrdDCIiaiJRFDDUHW11M46lnnQIPWkGbxARER0n4YCC80PJVjdj3/yqjLMDXBcjop1LRP1IRP2tbgbRsdK2IZS/+Iu/iPe85z2Ym5vD3/ybfxMf+tCHAAA///M/j6997WsAgIGBAfz9v//38aM/+qP44Ac/iFQqhc985jOtbDYREREREREREREREREREREREREREREREZ1QbVuJ43Of+xw+97nPbfjvv/Irv7Lm589+9rP47Gc/e1jNIiIiItpUoVzDf/nSdUzOl3DlTBqf+cBZKLLU6mYRERERERERERERERERERERERER0SFq2yAOIiIionZR1gz849/8NmYzFQDAO3czeOP2En7p7zzFQA4iIiIiIiIiIiIiIiIiIiIiIiKiE0RsdQOIiIiIjrvf+tO3MZupoCMRwN/+1GUE/TLeuZvBf/yzq61uGhEREREREREREREREREREREREREdIgZxEBERER2gyfkSvvHKJADgn/z4o/j0e8/gH//1RwEAf/7CXYzOFFrZPCIiIiIiIiIiIiIiIiIiIiIiIiI6RAziICIiIjpAX3jhLlwXeOJyNy4MJQEAj17swjNXeuG4wH/6c1bjICIiIiIiIiIiIiIiIiIiIiIiIjopGMRBREREdEAs28ELr88AAD72zMiav/uJj12CKACvXl9gNQ4iIiIiIiIiIiIiIiIiIiIiIiKiE4JBHEREREQH5PWbiyhpBuJhH66cSa/5u550CE8/0AsA+JNv3WlF84iIiIiIiIiIiIiIiIiIiIiIiIjokDGIg4iIiOiAfP/tWQDAM1d6IUkbh10/9N7TAIAX3phBpWoeatuIiIiIiIiIiIiIiIiIiIiIiIiI6PAxiIOIiIjogLx+cxEA8OjFrk3//vxgAgNdERimjedfmzrMphERERERERERERERERERERERERFRCzCIg4iIiOgAzGUqmM9qkEQBl0+lNn2MIAj48BNDAIC/eHHiMJtHRERERERERERERERERERERERERC3AIA4iIiKiA7BcheP8UAIBn7zl4973SD9EUcDtyTxmlsqH1TwiIiIiIiIiIiIiIiIiIiIiIiIiagEGcRAREREdgGtjWQDA/WfS2z4uFvbhgfpjvvPGzIG3i4iIiIiIiIiIiIiIiIiIiIiIiIhah0EcRERERAfg1mQOAHBuMHHPx77rSh8A4AUGcRAREREREREREREREREREREREREdawziICIiImoyTTcxtVAGAJwdiN/z8U/d3wNRFHB3uoCZxfIBt46IiIiIiIiIiIiIiIiIiIiIiIiIWoVBHERERERNdme6ANcF0vEAEhH/PR8fDal48GwHAODbb0wfdPOIiIiIiIiIiIiIiIiIiIiIiIiIqEUYxEFERETUZLcm8gB2VoVj2dMP9AIAfvD23AG0iIiIiIiIiIiIiIiIiIiIiIiIiIiOAgZxEBERETXZ7ak8gN0FcTx2qQsAcGsyj2xRP4BWEREREREREREREREREREREREREVGrMYiDiIiIqMlGZwoAgNN98R0/Jxn149yg9/iXrs4fQKuIiIiIiIiIiIiIiIiIiIiIiIiIqNUYxEFERETURKZlY2apAgAY6ons6rmPX+oGALz4zlzT20VERERERERERERERERERERERERErccgDiIiIqImmlmswHFchPwyklH/rp77+GUviOP1W4uomfZBNI+IiIiIiIiIiIiIiIiIiIiIiIiIWohBHERERERNNDFXAgAMdEUgCMKunjvcE0U6HoBh2njj1uJBNI+IiIiIiIiIiIiIiIiIiIiIiIiIWohBHERERERNND5fBAAMdkd3/VxBEPD4pS4AwIvvzDW1XURERERERERERERERERERERERETUenKrG0BERER0nEzOr1Ti2IsnLvfgi98dw0tX5+A4LkRxd9U8DtPMUhk/eHsO2aKOjkQAT93Xi45EoNXNIiIiIiIiIiIiIiIiIiIiIiIiIjqyGMRBRERE1EQTc14Qx2D33oI47j+TQsAnIVus4e50AWcG4k1sXXPYtoPf/uI1/Mnzd+A4buO//8cvvINPv/cMfuwjFyBLLPhGREREREREREREREREREREREREtB5P1xERERE1iWU7mFmqAAAG91iJQ5ElPHiuEwDw0tW5prWtWWzHxa/99kv4o2/ehuO4uHI2jU+/9zQuDidh2S7++9dv4Rd/6/vQdLPVTSUiIiIiIiIiIiIiIiIiIiIiIiI6chjEQURERNQkCzkNjuNCVSSkYv49X+exi10AgBevzTeraU3zH77wNr7/9hxUWcQ//YnH8Mt/9xn87U/dh//j770b//RvPAa/KuH1W4v43//TSzAtu9XNJSIiIiIiIiIiIiIiIiIiIiIiIjpSGMRBRERE1CRzSxoAoCcVhCAIe77Oo/UgjtuTeWSLelPa1gyv31zA55+/CwD4hz/2CJ55oHfN3z9zpRe/8r880wjk+L//x5utaCYRERERERERERERERERERERERHRkcUgDiIiIqImmV0qAwC6U6F9XScR9ePsQBwA8PIRqcahGxZ+8w9fBwB8/JmRDQEcy84NJvBzP/E4BAH4yosT+OYrk4fYSiIiIiIiIiIiIiIiIiIiIiIiIqKjjUEcRERERE0ym6lX4kjvL4gDAB671A3g6ARx/PkLo1jMVdGRCOAnPn5p28c+fKETP/Kh8wCA/+t/vIGFrHYYTSQiIiIiIiIiIiIiIiIiIiIiIiI68hjEQURERNQks0sVAM0K4ugCALx2YwGmZe/7evtR1gz8t6/fAgD89Y9cQMAn3/M5f/VD53FpJIlqzcb//UdvwnXdg24mERERERERERERERERERERERER0ZHHIA4iIiKiJpnNeEEc3an9B3Gc7oshGfVDN2y8dSez7+vtx58+fxeVqonB7gje+/DAjp4jiQL+17/yIGRJxMvX5vHt16cPuJVERERERERERERERERERERERERERx+DOIiIiIiawHFczNeDOHqbUIlDEIRGNY6Xrs7t+3p7ZZg2vvjdUQDAj3zoPCRR2PFzB7oi+OwHzwEA/v3n30a1Zh1IG4mIiIiIiIiIiIiIiIiIiIiIiIjaBYM4iIiIiJogW9RhWA4kUUBHPNCUaz52cTmIYx6u6zblmrv1rVenUKwY6EgE8PT9Pbt+/mfefwbdqSCyxRr+6Bu3D6CFRERERERERERERERERERERERERO2DQRxERERETTBbr8LRmQhCkpozxLpytgOKLGI+q2FyvtSUa+6G67r4/LfvAgA+/vTInt6XIkv4yU9cBgD80TdvYylfbWobiYiIiIiIiIiIiIiIiIiIiIiIiNoJgziIiIiImmB2yQvi6EmHmnZNv0/GA2fSALxqHIft6mgWY7NF+FQJH35yaM/Xefr+HlwaScIwbfz2F682sYVERERERERERERERERERERERERE7YVBHERERERN4FMkAMD5oURTr/vYpW4AwEvXDj+I4xuvTAIA3n2lD5GguufrCIKAv/2p++rXnMLoTKEp7SMiIiIiIiIiIiIiIiIiIiIiIiJqNwziICIiImqC9zzUh9/82WfxVz5wrqnXfexiFwDg2mgGJc1o6rW3Y1o2XnhjBgDw7CP9+77eucEEnrnSCwD4vS9f3/f1iIiIiIiIiIiIiIiIiIiIiIiIiNoRgziIiIiImkAQBIz0xqDIzR1edSaDGO6JwnGBV64vNPXa23n52jwqVRPJqB/3nU435Zo/9twFiALw/bfncHsy35RrEhEREREREREREREREREREREREbUTBnEQERERHXGPXfKqcbx0de7QXvObr04B8CqMSKLQlGsOdEXw3oe9qh7/5UvXmnJNIiIiIiIiIiIiIiIiIiIiIiIionbCIA4iIiKiI+6xi90AvEoctu0c+OtVqiZeujoPAHi2HnTRLD/y4fMQRQGvXF/AtdFsU69NREREREREREREREREREREREREdNQxiIOIiIjoiDs3lEAkqKJSNXFt7OADH7775gxMy8FAVxin+mJNvXZvOowPPjYIgNU4iIiIiIiIiIiIiIiIiIiIiIiI6ORp6yCOsbEx/MiP/Aiee+45fOYzn8Ht27c3PMZ1Xfz6r/86Pv7xj+OTn/wkfvzHfxzj4+MtaC0RERHR3kiigEcvdgJAo0LGQfrmq1MAgGcfHoAgCE2//l/94DnIkoA3by/hzduLTb8+ERERERERERERERERERERERER0VHV1kEcv/ALv4DPfvaz+PKXv4yf+qmfws///M9veMzXvvY1vPzyy/iTP/kTfOELX8BTTz2Ff/kv/2ULWktERES0d49d6gYAvHRt7kBfJ1Oo4q07SwCA9z7cfyCv0ZkM4rknhwEAv/flG3Bd90Beh4iIiIiIiIiIiIiIiIiIiIiIiOioadsgjkwmg6tXr+JTn/oUAOC5557D1NQUpqamNjzWMAzUajW4rotyuYzu7u7Dbi4RERHRvjx0vhOSKGByvozZpcqBvc7zr03DdYGLw0l0JYMH9jp/5QNnocgi3rmbwes3WY2DiIiIiIiIiIiIiIiIiIiIiIiITga51Q3Yq9nZWXR2dkKWvbcgCAJ6enowOzuL/v6VrNHvf//78eKLL+Jd73oXQqEQurq68Du/8zt7fl3XdaFp2r7bT3TcOI4LURRa3Qw6Yvi5IGqecEDB5VMpvHl7CS9encMPvef0gbzON1/1AmKffeRgqnAsS8UC+OhTw/j8t+/id798HQ+e64Ag8H5BdFxwDEDUXvidJaJW432I6Pjg95mIiA6K67pcQyYA/CwQtSPOE4iI2hPv33Qcua4LAJxT0JHQtkEcwMYv0fKXa7V33nkHd+/exfPPP49wOIzf+I3fwC/90i/h137t1/b0mqZp4tq1a3t6LtFx5LouZnMmSpoNRRbQn1ahym1b5IeaRK9ZuDGRQ82wkYz5cbovxoEPURM8cV833ry9hO+8MXMgQRwTc0XcnS5AEgU880Bv06+/3mfefxZf+v44bozn8Mr1BTx6sevAX5OIDpbjuLg9lUe+VIPfJ+H8UBI+RWp1s4hoC47j4tZkDoWygYBfxvnBBFR+Z4nokE3MFTGX1SBLIs4OxBEJqq1uEhHtAecCRER0UArlGm5P5WE7Lvo7wujtCLe6SdRCjfmDKOLsIOcPRO1gdKaAxVwVqiLi3GACQb/S6iYREdE9rD73lYj6cKY/znNfdCws5DSMzxYhCAJGeqNIxQKtbhKdcG0bxNHT04O5uTlYlgVZluG6Lubm5tDT07PmcX/8x3+MJ554AtFoFADwwz/8w/jpn/7pPb+uoig4c+bMvtpOdJzkSjVUxSLiKe/ncETF6b5Yaxt1gBjEtTOTCyXUDBsAkC3oSEb9SEb9LW4VUft75oFe/NafvI1rY1ks5atIx5s7mViuwvHIhS7Ewr6mXnsziagfH39mBH/8zdv43S9fxyMXOjnxJ2pzmYKOfKkGANBrNqYXyjh1jMeGRO1uKV9FoWwAAKq6henFMkZ6+Z0losNTqZqYy3hVjy3LwfhsEfedTre4VUS0F5wLEBHRQRmbKcK2vWSOUwtlpOIBBgqeUGvmDzbnD0TtoFCuYTFXBQAYpoOJ+RIuDCVb3CoiIrqXqcVy49xXrlhDtqjzsDu1PdtxMTZbBFwvcfnoTBHJqJ/nlKil2jaII5VK4dKlS/j85z+Pv/SX/hK+/OUvo6+vD/39/WseNzAwgBdeeAE/+ZM/CUVR8I1vfANnz57d8+sKgoBgMLjf5t9TSTOQLejw+2R0JgK8UdCRVTUF+Hy1xs8+n+9QviO0wnVdzGU0GKaNdDyAUKD1mSvWF0barFISEe1eKhbApZEkro5m8d03Z/CpJlbjcF0X33ptGgDw7MP993h08/zl953B//zuKG5P5vHiO3N44r6eez+JiI4sF2v7fI4B6CCYlo3ZpQoEQUB3KgTlBFYCLGsGMgUdPlVCVzK45zUDfkOJqNVcADXTRqFcgySK8PlCrW4SEe3RXucCq/dCupJcVyai9uG6LuazGmqGjVQ8gPAR2Js5rrjeRMvW/8sf1U9CplBFWTMRCalMckcHxrQczGUqAHCk10g33LKP6heXiI6sctVEJl/d934I7dKGc1+taQbRQWrXuaXjuJjLVGDaDjriAVY5a3NHcxS/Q7/4i7+IP/iDP8Bzzz2Hf/fv/h1+5Vd+BQDw8z//8/ja174GAPixH/sx9PT04JOf/CQ++clP4gc/+AF+4Rd+oZXNvidNN3F9LIv5rFe6Z2ap0uomEW0pEfEjFvbK1MqyiP5OljA+bBNzJUzOlzCf1XBtLIuaabe6SejvDDcWimJhFYkIFyiJmuVdV/oAAC+8MdPU614by2IhqyHgk/DY5a6mXns7sbAPn3jXKQDA7375OhynPSdJRORJxQKIBL2xoaqI6Ovg2JCay3VdXBvLYi6jYXapgpsTuVY36dDpNQvX6msGE3MlTC2U93ytdDyAcNBb2PMpEnrSPDxNRIfLp4goVmrIl7xsbgKnA0RtKx0LIBra3Vxgw17I4t7HNUREh21ivoSJOW9v5vpYFrphtbpJx9ZQdxSi6B3W60mH4FfbNk8l7VM4oKAj4WWAFkUBg12RFrdoo2xRx52pAuazGm5P5pEr6q1uEh1T18ezmF2qYHapguvj2VY3Z0uxsIpE1AcAkCUR/Ufwe0tER5desxrrBvvdD6Hd6e1YCRCMhhmYSseDtDyHEAAI3lyzHQPDRmcKmFooYz6j4fpYDqbltLpJtA9tvcJx6tQp/MEf/MGG/74czAEAqqril3/5lw+zWftWqVprohdLmtG6xhDdgygKOD+UhGU7kEShLTu2drf6HuE4LjTdbHkZ6aBfwYPnOmA7LmSpreMFiY6cpx/owW/96Vu4NpbFYq7a2LDYr2++OgUAeOr+3kPfBPvhZ8/gz79zF6MzRXz/7Vk8/UDvob4+ETWPJAq4OMKxIR0cy3ah11aClitVE47jNg5znAQV3VyzZlCpmnu+liQKuDSS4neWiFqmWrPREQ82SpYzhoOofYmigAvDu5sLlKsm90KIqG2VtZW5mOO4qOoWgwsOSCLqx8NhH1zXhcQ9pxNvpDeGga4IREE4kutB68cz5aqJBA89UpPZtoOqvhI8WNUt2I4L6Qh+JwRBwNmBBNcfiWhPtJq1Jgkk1w0OD8990XHVnQqhI+FVAz6KY6edWL0eYdkOdMOCIqstbBHtB++wR1AkqKxZcIiFfC1sDdHOyJLICXeLxMIr9whJEhA6IiWyBEHgQJ7oAKRiAVwaSQEAvvNmc6pxWLaDF173rvXsw/1NueZuREMqPvXu0wCA32M1DqJjgWNDOiiKLCLgXzkUEwmqR3LD/iCFAmvXDJYzXu8Hv7NE1CoBnwxZFiGJIkRBWLPGQUTtaTfjivVjuSj3Qoiojayei0mSgFDgaOzNHFeiKDCAgxpkSTyy60Hr12masW5DtJ4kiWv6nVBAOfKHELn+SER7cRD7IbRzPPdFx5UkCkd+7LSdaHjlXijLIgI+JpRoZ/zXO4L8PhkXh5PIFnUEfDLS8eZk2Cai46m/MwyfKqFm2EjHA1BbXIWDiA7eMw/04p27Gbzw+jQ+/d7T+77eK9fmUdIMJCI+PHC2owkt3L1Pv/c0/uyFuxifK+E7b87g3Q/2taQdRER09F0cTmIhqwEC0FXPlHKS+FUZl0aSyBR0+FW5aVW5iIhaQZFFXBpOYqlQhSJL6OQ9jehECazaCwn6ZaRivAcQUfsY6Io09mZSMT/3ZogIAJCI+HFuMIGSZiAaUhmoTgfm/FDCWyMF0Jk8eWukRHQy+BSJ+yFEROsM90QR9CswLe+sKIOt2huDOI6oUEBpu4wtrutiZqmCStVEIuLnwOmQ6IaFqYUyAKCvI8zIuh06Tp9XQRDQuYPDa47jYnqxjGrNQirmX7Mpapg2phbKcBwXPelQ29x/XNfF7FIF5aqJeNjHBSo6MZ650ov/50/fwo2JHKYXy+jrCO/rel9/ZRIA8N6H+1sWbR4Oqvih957B7335Ov7rX1zH0w/0tnXkO9Fu1Uwb0/W+uLcjhOAhV9ZaPRbY6vXnMhUUK97mY3cqdKjtI1pNlkT07rPvazer5y/xiA+dieCO7hOu680BNN1CMupnkgiiPbAdF1MLJdQMGx2JABIR/6G8bqVqYnapAkkS0JMKYTFfbcznVUXCXKYCWRIx0BVp+wV6v09Gf2ek1c0gamu5ko7FXBU+VUJ/ZwSW7WB6oYySZkAUgEjIh/7O8JG8X7TjXggR0TK/KqNQrmEhV0V/p3Qk77MHraQZjbFpf2cEityev4PN5t0ngW07mFoso2bY6EwEEY80J+BgIashX64hHFDQkw4davb9Vr72snjE17TfJdFWmrVGmi3qWMpXEfDJ6OsI37PKzcxSGWXNRCzsQxf35ptC003MLFYgigL6O8MMDKVDs5O9waMg6FcOpW3Layk100ZXMnjiAzG3O2NG1M6qNQvTi95Z2/7OMPxq+521FQSh7cdhjuPg1RsLyJcMDHRGcH440eomtUz7fQLpyJpdqmC6HkyQL9WgKuKJH9AchhvjOdQMGwBQ1gxcOdvBMpQ7cBI/r9OLZcwuVQAsv2cJkaBXXuvWZB6VqgkAKFRqePBsR1uUpZ7Pao0gpnypBkUWkYgezoEaolZKRv146HwnXrm+gK+9NIG/8bFLe75WSTPw4jvzAID3PzrQrCbuyafefQqff/4OJufL+PZrU3j2kda2h+gw3ZzIoapbAICiZuDBsx333CxpptVjgWLFwJVzHWsCqZbyVUzMlQB4fa4o7iyIlIiaYzazbv4iSzs6DDCzVMHM4socQJGP/7yHqNkm5opYzFUBAIVyDfedTh94Ag3bdnB9PAvbdgEA47PFxkblUr4K23bhU70NfdNycG7w5C5uE5F34OfWZB7wbhlwHBflqoli2cDYbBGiCJzqjcEwbd4viIiayDBt3JzIwXG8G7Bp2Tg7cLLus6Zl48b4yu/AMG2cH0q2uFV7s9d5d7sbnythKb8y37n/dBr+fc53ckUdY7NFACvriIeVECbbwtcmakflqonbU3nA9b4zjutiqDu65ePnsxqm5lfulbIk8FDvPtmOi+tjOVi2A8A7WHr5VKrFraKT4l57gyfN2EwR2aIOoD4uOpNuy8PdzbLdGTOiduW6Lm6MZ2GYXr9bqZq4crajxa06md64tYTrYzkAXjLRYEDGQNfJTPZ19E/oUtvQataan6vrfqbmcxy3EcABAIbpwK4vlB6kmmmjpBmH8loHpd0/r67roqwZ0HRzx89Z/x6XD4qu/zvbdmFazv4beQjWv6f1/65Ex9kHHx8EAHztpcl93Y+//fo0LNvBSG8UI72xZjVvT0IBBT/87BkAwO99+QZMy77HM4iOD31VH2ZZDkx7b33xbscHy1b3qZbtbPj+bRhHsM8lOlSrx+7Axu+g47goacaaewmADfcDfneJdk9b9f1zXWz4nh0Ew3IaARyAt4m6zLRsVI1V83m9/b/XW93DiGhndMNuBHAAXn+v1yyUqwZqhgXbdmHZLscBRERNpht2I3gBWDtuPEyt3LOrmc6a30E79zX3mncfV6vXDVwXa+Yau2HXx/Q1027pHizXMIl2p6pbG+YS2z6+ZsGyHWi6Cdtx+B1rAtO0GwEcAO9bdLjutTd40qz+fbgu1pzHA07eGibHVXQc2Y7bCOAAvO+508bnX9tZvlSDbTuNf4N8SW91k1qGQRzUNMlV2e9FUWB2z0MgisKaLDDRsHrgpZoL5RrevLWIa6NZXL2bWTOhbCft/nm9NZnH1dEs3r6TaUQ+30sqtvKeJUlANKxu+nehgNI2JTqTUT9QTwQgigLibfbvSLQfT1zuRiSoIFvU8dqNhT1f5+svTwIA3v/oYLOati+ffPcpJCI+zGYq+MK377a6OUSHZnUlqXBQgSrvfkx3e2plfLBcAnSnVo+NQgEFvnVjgUTEh+Vib4IAJCKsfEV0mNaPe2OrxvKO4+LmRA7XRrN4884SFnLa2udh5XkcLxPt3ur5siKLCB9CtjGfIiEUUBo/r84+FPSrSEZXvsvJWHv3yY7j4sb45vcwItqZSFCBsmr+kIz6YVoO5rMaciUdmm5CloQ14wIiItq/kF9uVEcD0JL7bKv37AI+eU2Vunbua7abdx9nq+cTqiIiHNj9+7ZsB1fvZrwx/a1FiAJWKgwf8jpiPOxb89rt/JkkOgyxdedL7vWd8asSxuaKmFooY3y2iIBP2fbxdG8+de0aEO9bdJjutTd40qweF61fn3UcF9fHs401zOVKZsfZ6s+HJAmIhk7G+JiON1kS15yXjEdWzR/oUKXjAcznNCwVqsgUq+hKntwKiie35hM1XTLqx8WRJKq6hWhI3XepVdqZM/1xZIs6XHftwYKDMpepwK0HIFZrFvKlGtLx9iuRmYz6cWkkCa0NP6/Lv/dls0sV9KTv3ZGlYgGoiuR9R8PqmrJ/wz1RREMqbMdFKupvmwFKLOzDpZEUtKqJcFBB0M+FIjo5FFnCex/ux5+9MIqvvjiBRy927foak/Ml3BjPQRQFvPfhvgNo5e4FfDL+xscu4V//wWv4/a/cxPseHeBhcToRTvfFkIj44DjeIqEg7K4vrpk2soWV7ASzSxX0dYR3/PyR3ihi4fpYIBbY8PrhoIrLp1IoaSYi7HOJDl0i6selYW/+Egmpaw7JVHRzJUu/683ZOhNBAOvmAG027yE6KrpTIQR8MmqGjXjEt+ag9EERRQEXhhLIFHVIonfwulw1G/N5WRKRLepQJHFNIGg7qugmStrm9zAi2hlFlnD5VAr5Ug0+VUIs7MPEXAm96RA6E0EIAIZ7oyd6I4yI6CBIkohLIynkijoUuTXjsvV7doVyDanY4e3ZSaKAiyPJYzE23W7efZz1psMI+hQYpo1EdG/znUK51sjM7LpAoWLg0kgSZc1EMKAgHDi8dcRQQGnZaxO1I1WRcPl0CoVVc4nt1Awb/R1hVGs2gj4J1ZoJoH3v/UeBIAi4MJxEplBtrAERHZZ77Q2eNH0dYQT9MkzTQSLqXxPkVq6aKGv1Cmautw/bjmfldiMd9/aX9NrGM2ZE7ezcQAKZgg6BQd8tFfDLeOBMGuWqiWTUD8c9uRVReHelpooEVUQOISPhcTGzWEa2qCMUUDDYHYW0h4Pzoijse2BoWQ5evDqHTKGK7lQIj13q3vKxiiyt+7k5hxeqNQvjc0XYtov+zvChVMYIB9VDyaDZbLIkQBC8hdBbkzkUyjWMzhRwdiCOnnQYHYmtPw9bfUcFQdjzwr5pORifLaJm2uhIBA79sEWYi7B0gn3o8SH82Quj+P7bs8gUqrv+Hn/xu6MAgMcudh2pQIn3PzqAP//uKG5P5vE7X7yGv/9XH2p1k4gOXLVmYTFXheO68KnSjrOZvHR1DnOZCuIRH1RZaiyw7naMtpOxQNC/9+AN13UxOV9CsWIgElIx2BU58YvBRLu1ev6i1yyM1edP6Vg9W2h9bUuRJOiGhe+9NYuSZsCvyuhNh2A5Dnp9Ow/uIqIVh7FG4TguxueKqFRNxCM+RIIqFnNVSJKAkF/ZMJ9fnnvrhoXvvTmLim7iVF8Ml0ZSB97WZpIlccM9jOgkWMhpmM9oyJdqiIQUpGKBNVV3VlvMaXj52gJcuHj4fCe6UxuDMVRFQmcyuOpnEdGQd+8SRQHpQzzQS0R0kiiyuOb+e/ivv3bstPqg2b3cnMjh5kQOflXGk/d1YTGvo1I/PNG7i8QgsiRuuS+k6SYm5kpwXBf9nZEjn7233fYNM4Uq5jIaFFnEUE90z9mz45H9zXfWf+4USdzXOuJuvXVnCeOzRYQCCp66vweZgo5CuYZwTUXQJ7dN4jqiVvGtmkvMLJWRLegI+hUM9Ww8v6LIIvyq3DjIq8o7u+9cG8vgzlQBIb+C4d4YNN2EX5Uw1BPdVd91XEmiwIQWx5xp2RibLcIwHXQlg0fm8P9+zgkdVZlCFS9dnYfjunjgdBr9W6y1bMYwbSzmqjAtB5K09ncjS+vuh8rJuHdFQ+qRH8MT7Zamm1jMaxAgIOCT11TdaRc108b4bBGm5aAnHWrTYBQBc0saylUDpuXgytmOVjeoZRjEQdQi2aKOqYUyAEDTLciSuOVG3UF7684S7k4XAACFsoFExIczA4lNHzvQFYFlO6jWLHTEA007yHB7Mt/I0nJrMo8Hz3Vwwr4FRZZwuj+OF9+exUKuCtdxcXsqD8OyoRs2QgH5ULNjj88VkS16mb8rVRMhv9KWAxyiduQd0kri6mgWf/6dUfyNj13a8XOrNQtff3kSAPDxZ0YOqol7IooCfvqH7sc/+bffxldfmsAHHhvE5VMHdxitWrPwjVcm8dLVeSzmNISDKq6c7cDHnh4+lAN7RIA3/qkZNgBvE/2h8533DPC9MZbDjfEcAG8MN9wTQSzsVdQa7okeeJt3YzHnbSoD3tjXp0ibHj4jop25NZVHVffmT9Wahf7OMJbyVSiShJHeKF6+No/phTIK5RrKVRO2nYamWwj45CMVuElEK2YzFSzmqgCAkmagWrMQDngbZLem8rj/dHrT5/3g7VlML3rrS69eX0AqFkBXCw8S7lbAJ2O4J4q5TMW7h/UdrTEM0UEoV02MzXjraUv5KiJBFYbpwKdKmx7c+earU425wjdfncJn3ncW8j2Cts8MJDA+W4TjuBjoikDiOisR0bG01z27TKGKF6/O1QNpa/jz74xhpDcGAND0sjd3bMIhkFsTedTM3a130c7ohoU704VGMLTjFHBhONmStsTCPvR3hrGYryLgkzHYfXhj+unFMt64uQgAyJdq+PpLk42DsZpuQZXFXQUlEZ1kuZKOqfnV51eEDd/n7lQIumGjpBmIhX3bJpdcNp/V8Mq1Be/PGQ13pvN44EwHKlUToig0+h+i42x0poh8qQYAuDtTQNB/uGd6TpJvvTYNrepVzPj2G9P4y8+egbrDChKjMwUUyl7F4DvTBQT9SqM6W9CveGuY2QpUWTpy+7BEtDOu6+LmRB6W7QBYmae2m9HpAooV7351eyqPB86k265azlJeQ1HzAjhyRR3FinHsAgt3qr3+5YiOkKn5EnTTwmBnZMcDvmWabmI+W4FpOY0sycuLmK1QqQ9gl5U0c4tHetkVzg1uHuCxH6vfv+O4sCyHQRzbSEb96EqFsFTQsZjzDkTWat7vsGbaTZvwTc2XoNUsxEIq/D550w0AY91n1zBtBnEQHaIfes9pXB3N4kvfG8dnP3huxwPzb74yCU230NcROpIRzRdHkvjgY4P46ksT+Dd/+Br+9c++b8+ZxLbiui6+9P1x/O6XrjUWZJa9czeDP//OXfzsX3ukLSdt1H6MdWMh23Ygidt/5iu1dWM2QcD9ZzY/4GlaNooVLyN/K/rp9WPdgxj7Ts6XUDMtDHfH7nmojagdabrpHeoOqihVDCzkNAR8ChIRHxIRP3rT4TWPBQDb8U5z6PWDn4bpHH7DiWhHVo8FbNtFzbDhODWIoghJ2vqgm6av7VPXr/G0g85E8FhlnNQNC1PzJYQCCnrSPDBGG5n177tZ3yxc3jQ0TBu27SBfrkGRvep8luU0AjgAr6Ky5TiQsf14NxxQDjQZwmb42SciOnxK/YB6zbA2zZBbKNewmNOQigXWBGVoutU4/A94AYarNWvdxrB2v95FO2Nazpp/w1buMwNAb0f4wIMlqoaNq3cXEfApjQqEG/e4jTXZzVv9eyFqJ+vXDVf/rNcsVHQvmeOpvt0FXSyvUwKA7Tiw7JWb1/pzBsvyJS/gPR0PIM6ENHQMrPmsu/V+nA5EdfU9x3ahWw7UHRaSMEwHmm7Csh2EAgoM024EcQBAZzJ4YFX4eN8jOhy24zbWYgHvfuw4bttV76uZNiq6Cbt+vzItB/42K5pTrVnwqxJc14VfkVDWjHs/6ZhiEAfRHrx2YwHv3M0AAN4JZfHRp0eg7vCgWKFcw82JHAzTwdRiCb3pMPxbZFk7LGcG4phcKMG2Xaiyl7n1sHUlg5hdqgAAYmEVPpWLuPdyqi+GWxN5hAIKrIqBno4QAn4Z0SaVen752hyujmaxlK9CVSQ8eqET/V0R9HeurRjTmQiiXPWy/QR8MkvpER2yJ+7rQVcyiPmshq/8YAKffPepez7Hth388TfvAAA+9vTIkZ2Q/O1PXcarN+YxvVjB737pOv7WJy837dqVqol/84ev4ztvzgAAetIhfPiJIZzui2ExX8Xnn7+D8bkS/j///gf43E89gQfPMZCDDlZnMoj5eqWKeMQHdQdBS6d6o7g94VXjkiQBZ7eopGaYNt6+m4FlOYAAnO6LHXoWg1TMj4WcBtv2FkHSTX797789i9uTeQDAzYk8PvLkEESRgRx0fCzPI10XsGwbb9/JIFfP3PXw+U74182fzg4ksJCrIuiX4Tou0rEAFFlEIsIKU0RHVToeQKagw3Fc+H0S8iUXmYI3NggF4ls+7+xgDJm3q4ALhIMKejtY6aqVDMPCl743hnI9QcqVs2ncf+boBc1Ta0VDKvw+L0ijVPEy2EqSgHjEj6tj2Ua1rf5O7zDkcG8UYzNFAEBfZ/hIZlXTDQtf/O5YI9vllXMdW1YQIiKi5skUqrgzVQDgBXTcdzoFRZYaf/cXPxiHbbsQBOD9jw40guy6UiFE6v0Q4I1ZXBdwXe86ySZU4QDWrnclojtb76KdCfkVhAJKI4ihnarx7YVh2PjdL15FpqgDAEZni/j40yPo74zg7dtL0GoWIHhjEK1qwbIdiKKAjvjJzORKtBeJiA8ziyJMy4EgoFFlo1I1cW0sC8fx+pOLw0mEd3EeoS8dQjiooKyZ8Plk9MfqfYyATc/ILOY0fPWlCdi2C0kS8P5HB4/9PY6Ov85ksDGvD/jlXX2HaHfO9Mdxq75f2J0K7er8lCAAUwteRaJISMEjF7oOookbzGc1fP1l3veIDoMsiUjF/MgUvHlFRyJwZM9L3ct0/X4Vi/iO5HrxvYR8Mu5MF+C6gE8V8ZGnR1rdpJZpv389oiNgdLrQ+HOpYiBbqKI7tbNN8kxBbyyCDnZGkIj5MNwTa+nNtDsVwseeHkGupKMzEUCwBaF5A10RxCM+OI6LaEiFILRnB3mYYmEfPvHuYSzkqvApMgI+GZGgAqlJFUxGZ4qwbAem5f2vpJlYylc3BHGk4wEE/TIM02nq6xPRzkiigL/8vjP4v/7Hm/jDr93Ehx4fhN+3fZ/y/OvTmM1UEA2p+PATQ4fU0t0LB1X8zGcexC/9hx/gT751Gw+e68DDTaiKcXsqj1//7Zcwl9EgSwJ+4uOX8Ml3nVpz/3r24X78xu++gu+9NYtf/+2X8W/+0fvWZPAiarah7iiSUX9jLLQT8Yi/MRZIxgJbLkTmyzUvgAMAXG88ethBHEG/gvtPp1HRTQT9StMr64zNFht/zhZ0FMrGmgyTRO1uKV+FW09St5CtwnZcdMQDcFwvY8z6+dNIbwzxsA/FioFYRIXrAuGA2qgESURHTySo4r7TKVRrFiRRgG27CAUUiKKwbaXSM/0JJCJ+lDUTPangrqvFUnMt5KqNAA4AuDtTZBAHbSBJIi6PpFDSTFw52wHXdRHyK6iZdiOAAwAW81X0doTxrit9GOmNwXVc9HdFtrly68xntEYABwCMzRQYxEFEdAgW89XGn03LQaG8UoVgdKYAu57t3HW9PZ/lIA5VFvHRp0cwu1hGKCAjHQ9Cr1moGlZT5457We+inRFFAReHkyhWDCiy2JLKu4dpPldpBHAAwK2JHPD0CIJ+GR971wjmMhXEQj4kon6Ylo1y9WDWIImOM1WRcN/pNMpVAwFVbuw1ZotewgnA608yRX1XB9BVVcbHnhrGbEZDOKggFvahpHlVwwOb7GeOzhYb/ZdtuxidKfAwM7W9zkQQ4YDinakJqZDa9MBwO3jivh4Mdkdg2S76dpnsxnWBofpzAz4Z1Zp1KEHIY6vG7bbtYoz3PaIDdbo/jnS8BkEQ2nqeOtgdgW27CPpl6IYFRW6v91KpWTgzEEfNsBDyq8gUqgde3fGo4q4e0R6EQ4qX0QNeJG54FwtjqzOkSpKIzkTo0AM4SpqB0ZkCHMfFQFcEqVgAsbAPsXBrs7JGGG2+a0G/iu6kiDvTBdRMG93JYNM6tEhQhaZbEAQBAgCfKm35WQ36FQR5TpKoZT74+BD+6Ju3MZfR8IUX7uKvfODclo81LQe//xc3AACffu/pewZ8tNrjl7vx3JND+PL3x/Eb/+Vl/Kt/8OyeFy1c18UXvzuG/+dP34ZlO+hMBPD//huP4dzgxuoFqiLhH//1R/BP/u0LuD2Zx7/5b6/jn/3UkwwypAO11VhoLlPB7FIFsizidF8MQf/K2DPoVzHcs/0Yan3/3aqKZ6oiHdhiZzigIF+vSiBJAgL+o31vI9qt1Ruatu0gV9ThU2Ukoj5EtlhgTET9DGYiajN+VYZflWHZDiq6iYVsFaIIBP3xbZ+XigUOPUCTNhcOKhAENALvIsHjfZiO9k6SRMTXVchygTWfn9XryD5FwuR8CdmSjlO9sSOXtTMaUgEB3psAjlz7iIiOK78qowgDes3CXFaDZTtwXBediSDi6/b81o9LVFnEUE905Vo++UDWirn3d3BEUVgznpicL2ExX4VflXCmP36sKp/EQn5IktA44Lj6c+VXZQz3xBo/K7KEROT4vHeiw+RV8l27nrh+P2EvZ1tUVV7T56x+jfVnV9b3V+18uJJoteN2pkavWbg9lYdhOehOBdGbPjoHb3v22BafKsGnyvDBW585rGDQ9Xs80TDve0QHrdVnZPfLr0qo1cdkgoC2nPtFggoCqoxA/X1EQ+33b+K6LsZmi8iVagj6ZZzpj2+blG0rTMFItAfvutKLvs4wOhIBvOtK3642pbpTIfSkQ4iGVAx0RZpWkng37kzloddsGKaDu9MFWLZz6G2g5hmfK6JSNWFZDqYWyihrRlOu+64rvRjsjuDcYByPX+5Cb0cYp/pi934iER06RRbxY89dAAD8t6/dxEJW2/Kxn3/+DmaWKoiHffj4M+1Rju6nP30/zgzEUdJM/NK//z6Kld3f5ypVE//H77yM/98fvQnLdvDE5W7863/47KYBHMsUWcLP/rWHIUsiXr2+gFeuL+znbRDtSbVmYWKuBNNyUNWtNRUndioaUjHcG0U0pKIrGdxQVes4eM/D/ejr8Mbnzz7c35YlQ4m2050KoTsVRMAnIxxScXEkiVBAhl+V8PjFwynpTUSHx3VdSJIIVRGhKhIYR9w+4hE/nn6gFx2JAAa6wnjyvt5WN4naiE+RcHYggWhYRTLmb6zDmZaNuzMFmJYDvWbjzqoq0UdFIurH0/f3Ih0PYLA7gqfu72l1k4iIToSBrgg6k0EUNQOJiA+yJGJstgjDtHFmIIH7TqeQjgdwfiiBy6dSrW4uHaBCuYbZpQosy0FZMzExX2p1k5oqGlbxyXefRncqiKHuKH74vadb3SSiE6MzEUR/ZxjRkIrejhA6E81NIrH+7MqZ/gQunfL6rwvDCVwY2nofj4haZ2y2CE23vHNK82VUVlXnbFcjvTGkYn5EwyrO9McPLRnmpZFU47536VQKF4c5biei7Z3qiyFZv1+dHUi0ZQXCB8924sxAHOl4AFfOdawJ+G0XmYKOxVwVluWgWDYwvVje03V4soVoD4J+Fe97ZGBPzxVFAQP3KHvvui4W81U4jotULNC0ssXLrHqWEu+14JW/bL97OdWt/vfc7Oe9Cgf3/jlfZjsulvJVuK6LjkSQZSGJDtB7HurH//zeGK6OZvFv/vB1/OJPPwVx3XduZrGM3/+KV4XjJz9xaU02/6NMVST83E88hn/8m89jfK6Ez/3W9/DPfurJHUfHXx3N4F/83qtYyGqQRAE/+YnL+KH3nNpRVY3+zgg++e5T+ONv3sZ//vOreORCJ6tx0KGy1wXb7jX4tjMRRGeieaV3TctBplCFKAroiAda/r2IBlW879H9jVuIjjJRFDDYHYVes1CtWUhE/OjriECWRahNClrKFKowTAfJmL8tF/uIjhPbdqHKIkIBxauOyeFnWxnpjWGkl0kwaHt6zUK2pMOvymuS/MQjvg0VOmzHbVS4APY+Jzhop/piTABDRHQI1vchwz1RZIs6LKveP7j1vgPAg+c6W9hSOkzrxwcHNV5o5Zrg+cEEzm+TlImIDk5vRxi9HQdz7eU+q2pY0HQT+ZKOh8+z/yI66g5r7HGYFFnE6f74gVzbsh0s5asQBQHpeGDDOQ7e94hoNxTZq77YzmRZxMXhJCq6uaGSaLvY0Bdae+sLWYmD6AganSlibKaIibkSro1lGhPXZunvXCkd15EItGVJJVrR2xFqHOiIBNUjVVL01kQO47PeZ/nGeLbVzSE61kRRwP/2Vx+CKot4/dYi/uOfvQPXXek/SpqB//0/vwTdsHHf6dS+g7QOW2ciiF/6O08jElRxezKPn/3Xz+PuPbKPlqsmfutP38LP/Z8vYCGroTsVxK//r+/Cp997elebS5/9wFkEfBLGZot47cbift8K0a6EAkrjEJcgAH0drS9H7Dguro1lMDFXwthM8Z7fRSJqHr9PRipWP+gpAP1NuidMzpdwZ6qAyfkS3rmbgbnHRSYiag5VkVCsGFjMVbGQ1WA3KVkDER0Nhmnj6mgWU/Nl3J7MY+YeGbr8qox0fCXb7VGYExARUWsYpo13RjONPmR2qQKgPjesL3cmY34EDilrMB0d8YgfoYCXtEkUBfSmmz9eWL8mODqz+4rBRETr9XWEUTUsTM6XYJoORmeKyBX1VjeLiO6hryPcOKcUDR+tc0pHjeu6uD6W9cZQs0Xcmc63uklERC23lK/ixngOU/NlvHM3A01vv4pOqVgAfp937lqSBPSkQ3u6Dldw6MA4jrshcnSZ67otz9Z7lOVLtcaf9ZqNmmE1NVt6dyqEeMQH1wUXco+BRMSPB891wLQcBHxy075b232Hd8J2XBQrRuPnsmbCsh3I0v7jB/fbNqLjqrcjjL/32QfxL37vVfzJt+4gW9TxVz5wDsVKDf/uj9/C+FwJ8bAP/+jHHmnL79BgdxS/9jPP4Jf+ww8wl9HwD/6/38JHnhzCx58ZwUBXBIIgwHVdTC2U8Y1XJvGl742hpHkD/Wcf6cf/8pce2FN/Gg6q+NATQ/j883fxR9+8hYcvMBMGHazV/ZwgCDg7EIemm1Bk6UgE3+qGBb1mN37Ol2vbPJqImu10fxw9aROSJO6oYsZOxs6rv8eW5aBSNTdkASdajes6B6tm2khE/Aj6FYiC0JZj953Y6dyeawB03JSr5posXblSDb33CMw41RdDdyq44/7/oCwnizhufQD7NSI6KOvvm/sd15Q0Y02Ab75UQ086hM5kELGID7bttE31ZWouSRRwcTgJ3bCgyBIUufm5PDesCZZ2tya4088/+2Wi5mmH+XR3KgS9ZkEShMb+R75cQ2JVxcKThvdB2q39ztX38plLRP24crYDlt3cc0rHkWE50HSr8fNux1BE1HyO463NiiJrILTK6nuh6wLFitF26xmKLOLyqTRqhgVVkfZ8Jpant6npbMfFrckcimUDAb+MC0MJKHJ9slWq4fZUHo7rYqAzsufoo+MuFJBRKHuH32VJPJDDen6VX//jxFuQbc7nxLQc3JzIoVI1EQ4qOD+YgLSHTkYSBfh9UmNB16fuvbNaVq6auDWRg2k76EwEMdwT3df1iI6jZx8ZQEW38O/++E08/9o0nn9tuvF38YgPv/x3nkYqFtjmCkfbYHcU/+J/ey/+z//+Or775iy++N0xfPG7Y/VKRAqKFaMRuAF41af+X5++f98lSH/o3afxZy+M4o1bS5haKKG/M7Lft0K0qdGZAhZzVSiyiHODCYQCCibnS5jLapBFEWcH44gEW5vNxqdIkGWxUQ5yOcsfER2enSxi2Y6LWxO5+qKXjPOr5ubrhQMKqvVNBFEUEPBzvkhbm1kqY2qhDEkUcLovzoCfA6DKIuRVh67Cx6yv1WsWbkzkUDNsJKN+nO6PbbnRu3psdH4o0XaL+ESbCfpkCIK3OQXs/Dve6s//XKaCyfkSBEHA6b7YsTlUNTlfwmymAlkUcWYgzuyhRNQ0mUIVozNFuK6Loe4IChUDuWINPlXC+aHEnvbpgn5lTR8SDKxcw6dIwBFI/kGtI4rCgY4Xlg+lLAejrv78bce0bFwfz6GqW4iGVZwdSEDa5FB5oeydI7AdF/0d4XsGuRLR1nTDws2JHPSajXjEhzP98SMdzBGP+LGQqzZ+Dp3guf/0YhnTi96625n+OGJhrrvR9uazGibmihAEAaf6YkjuYq6eK+q4M12A67oY6IqgO7W7M3yqcjSSzx11iiRCkcVGBfRWr+8QnXTXxjJ49foCRFHAYxe7cGYg0eomnUihgILsqupr7XpvlJowD2coETXdYk5DsR6AUNUtzCxWGn83OlOA47iA622OGKa91WVOtNP9cXSnguhIBHBhONGUygVEOzWXqaBS9Q5AlzUT81ltz9e6MJREZ3L5s5zcd9sm5orexMYFFrIaSppx7ycRnUAff2YEv/Yz78bD5zvhUyVEQyqee3IIv/mzz2LoGAQ/RUMqfu4nHscv/92n8dilLsiSiJJmYHqxgpJmQpFFPHSuA//0Jx7Dv/1H79t3AAcAdCaDjet8/eXJfV+PaDPFioHF+kaFaTmYmCuhUjUxl9EAF7BsB+OzxRa3EpAkEReGEuhIBNCVCuJMf7zVTSKiTSzmtEZlPE23MLNU2fKxg91R9KRDSMcDOD+UaGmGbzraaqaNqfky4AK27WJsttDqJh1LkiTi4nBypa8diLe6SU01tVBGzfDWBLNFfc1C/WqFcm3t2Gi+dGhtJDpIfp+Mc4MJpOMB9HWGMdB19JMELH8HXdfL5nt35njc/zXdxOxS5UjNt4joeHBdF6MzRTiOC9cF3rqTQSbvjXlqho2phfKerhtY34cw0QwdIlkScWF492uCM0uVRuKIYtnAYm7zfcfRmYJXacatzxl4joBoz6YXyo1Ei/lSbct591ERj/hwuj+GVMyPoZ4oOpPBVjepJfSahemF1etunJ/Q9izbwfhcsTFXH93lXH31eHVirgTTYt97EMR6xbSORABdySDODfLAOFGrGJaDV64vwK33tS9dm29U5aDD1Z0KYrA7glTMf+IT6zC1Ih04d4s/b/bzSWeYNuYyFQiCgN6O8LbBG7NLZbx8bR4Bn4xnHuxHQOUhG9paSTOQLeioVE0E/TISUT90w8bdqTzCQQWXT6UOpESYqkhNrZbhutv/TEQrLo4k8Ys//VSrm3GgrpztwJWzHTBMG5PzJWi6hXBQQW9H+EAOn37gsQG8fG0eX395Ej/2kYubZgsj2g93XcdmOQ5mlspYyGlIRHyo1iwUKzX0doQ3zaRT1Axcu5uBJAm473T6QCuvBf0KRnpjB3Z9ItqZ+awGvWYhEfUjGlLhui7msxqqNRO3JvOYW9LQmQwgGQ1sOwGXRKEtDpBS663vqzgnOziC4G3wSaKAZo06l9cGfKqErmRwy+oX29F0C2/fXQIA3HcqiaB/9wvr7l5XBPl5o2MkFvZtyKi6em3Y75OgVb057lbVNA3Dwpt3lmDZLi4OJw8+Q+uq7+Bxvf/v+f5ERG2nUjWxlK/ua1x0L6vHzs28b27Wh+zFUl7DrYk8ggEFl0dSayrBrVco15Av1RDwy+hMnMyDtSfd6nHKQFdkdwkI133+HcfBW3eWUK4YGO6NoiftVdzYuAe49j/oNQvzOQ2yJKI7FeL6PNE2NpzLuUc/ZFgO3rmzhFxJR0c8gK5UCJ2JICzbwexSBa7rojsVOtCM+6lYYMu5z4nF6QntxD3m6tmijlLF2HR9Yf0c+DjM9XXDwlu3l+A4Li6eSiEaPBqHgv0++Ujuq2q66VVBVkR0J0NHumoT0UFwnPa88em6hS985y403cQzD/S2ZTURQRB2XQHquGIQBzVdRzyATP2wuE+V0JNe+bIN90RxZyoP1wV6O0LM7rmK67q4NpZtZCIsaQYujaQ2fWy5auAPvnqz8dilvI4f+fD5Q2srtRdNN3F9LItMQcdSvopUzI+AX8L4bAlSPXBD0y08cV8PAC/SMVfSoddsBP3ykcp0Mdgdwc2JHGzbRSrmP9FRmES0QlUknD6ESgCPX+pGOKAgU9Dx9u0lXDnXceCvSSdLLOxDMuZHtqBDkgRYtoNc0YLjurgxkYMqSejvCuP2ZB5nB+JIrArksCwHX/3+OLSal9VuKa/jI08Nt+idENFhmFksN7K3LuQ0XD6VwlK+irmMhjvTeUzMliBJwFy2gqfu71kzNyfaK78qoycdwuxSBYKAY1Hl7SiyHRfXx7IwTC8DVKVq4vzQ/qpbVmsWro9lG5uxlu2gfw+Zm7/20jgK9Qq8s4sV/NB7T+/6Gn0dYZQ1E6blIBpWkYhsDE4FvAp8yagf2aIOWRLRz2AzOsZWrw1XdBPZgo6Brgjms94hinR842Gm51+f9qr2wat6/UPvPQN1mwO4+6HIIvo7w5haKEMQ0NSkLa0U9CvoSgYxn9UgigIGu47H+yKi7dVMG9fGso3DGjXTxlB3c7//giBgqCfayKB9aSSJomagWDagyCL6OsJNfb3dKmsGvvLihFf1AN548+kHerd87I2JXOOAoOO4PGhxwjjO2j3ssmbi4sjO5yfd6RDy5Rpqho1QQMHUQhk3J/IAgLszBXzs6REkon7vHMF0AY7joicdWpOgxrYdXBvLwrRW5kjMYk20NW/ebcAwHURDKlKxzefdy77z+jRGZwpYylchySKeuNwNx3Eb534AIFeq4YEz6QMJfCSP3yejOxXEXKY+P+nhOghtz1svC2NqfvO5eq6k4/ZkHgAwn/X+2+pAjuGeKO5OF+C6QF9n+EADtQ7LN1+ZwlLeq+w7vVDGp95zettg5ZPMqM+LlucENcM+koEmRM2kyiKunEnjjdteoqqHznceSNLrg/af/vwd3J3x1htuT+TxD370ESTj24/36OhiEAc1le24MG0H5wbiKFYMhEMq9JoFwXWhqjKSUT/iF7rgui6kHWToWC7Vpsj3HijWTBuiIEBp0eDLcVwYlg1VlraMTLVtB6btbJoV2bKdxuIX4C2Aua676SR4MVdd89j5bKUJ76C5NN2A4wDhIxLV3O5qpg0BgOO6az5jluWgopsI+ZUtJx6VqgXX9Q5sAN7/W5YDvWYjFPCes5SvwrQclCo1+H0SHjjTAdNyIAje93qzr6Bh2hAO4TtnWjZc1zukHQmqeOhcJxzX3V2Wnw3XdOC67rGYhBLR4VEVCU/d34OvvDiB7709yyAOapqqYaNUriEaUjDYFcFwTxSiIOC1mwsAgO5kCHBdxCP+xjiypBmIR3yomTYUSURFNxsBHI7rYmapDMNytj3E5bpu4/n3GpvXTBuSKOyr/z2OHMdBSTMR8CsHdmCOTp6iZkCVxXtW0ylpRuPPrusFckwvlKHIEgrlGiAAsbAfPkVCRyy4YexrWg4c12VyhSPCdlyYlg2fIu17M3z9Pdt2XJQ1A0G/vKP1lXsZ6IqgNx2CZbtoWokIArDyObBtF4bpwKrPy8v1AxM7pRvWhv69UjXXZNNbf83GuECWtsxoa1gOCmUDpuWNOUoaoGkGTMdtrEvsZK0g6Ffw4LmO+nrD1o8TBAFnBuKwbMerSNIGB0W4HkZbudd93rRW1oarNQuabqJmWBAEoFCprQniWF6HXqwfSgC8jfaKZkBdFeit6RYcx9nR53G79i2vafekQ+hKBuHCW8u2bWdHa/xH3VBPFH2dYYiCwIyTJ9hOx2KHtSbeLtq139Oq5ppsm2Vt67HW+nlTVTfhuC4CPmXTe4ZhOajW92w6E0GvYqLjQpTERsKsozCuyZVqjcNaANb0KeuVq+aaDM+7HZvuRlkzIIoign4eYWiGnexd74S5bg97PqdhqCcKSRK2XC80DBv5cg3xsA8+VcLlUylUaxb8qowvfW+ssQfuukCmUEUi6kci6sfDYd+m5whqpt0I4AC8Q6mW7exqrbKZ826io2p1P3Tl7L3n3cuWCt75E8tx4VoOqrqFYsVoBHC4rlsPCrHha1IFcN2wYFjOkcmSv2z1vdMFdnTf2M1ey70MdkfR27F2frI8J/MpEmzHhbXFmSM6mXrTYXQlgoDg9cuNfStV2jDOLVdNRAIKqoaNSL0yRzziB3Z4hu9e1p/x2+leRzNlCivjWq1mQTMsROWjcZ9p5nyyGb/bas1aMyfYbl60F80aixI12/1nOtCZDEISBaTjRyex9W7MZzWYlgXLcQEomFwstmUQx/I5mVTMB0k6ufvVHNVR01RrFq6NZaHpBt65m4VPETG7pCGdCCAcUPDuK33o74rUO+Z7d86rs4oOdEW2zRo6NlvEQlaDIAAjvbFNM5MdJNPyolP1mg1VEXFxJLXhIEyhXMOtyTwcx0U84sPZgfiaiZ4siQj4ZVR1byM8GlK3nAh2JwLwqxL0+oJZb4sz9qz31u1FvHHLi1i8dCqFh893trhF7e3OVB7zWQ1TCyWk62VEL44k4bguvvz9cZQqBnyqhA89PuhNsNaJBL3NhKBfQaVqIuhXEPDJyFdWDn35VRl/+NUbmFooIxxQ8OwjA+hJhxqVc9LxAE71rURcj88VMZ/RAAEY6YmhI3Ew37m5TAUTcyUAQH9n2FuwEAWI+zgptJDTvOxXrld1ZLDJGbaI6HhbDuL4/tuz+OlP388FB9q3qYUS/vvXb6FYNiAIwLMP92O4N4aBrghiIR+yRR0AkIwFIK/KAhEOqLgxkUOxbECSBJzqjSEcVJAv1XB3Og9ZEvEn37qNDz02uKZixzLHcXFzcuX55wYTiGyxWXJnKo9MQYcgAGf645te7yQyDAtf/oGXjdynSvjgFr9rot14/rUpTMyVIAjAU/f3rhmDrxcL+xrZ8CfmivjGK5PQdBPhgIr+zhBKFROKLHplsNNrFyEzhWojw1ZnMnhssmm3q0rVxI3xHCzbQTio4PxQcstD9Pdyd9rLmigIwOn+OHyKiK+9PIli2UDQr+B9j/Q35V6VK9Vwd6YA8DPUNHp9Xc20HPh8EjJFHZn6YbpzQ/EdXcN1XdyazCNfqkEUBZwdiCMW9gEAwgFvbWD5wOLqypa27eD6eA6VqglZFnFhKIGgX9lwfVUWoekmbk8VAAD9nSF8qV4JLBxUcGkkhXzJCyIb6o6ia5vKnoIgQJZ29jlvlyDSt+4s4Y1bi4ALnB9K4LFL3a1uEh0Rmm7i+ngOluUgFFBwYSix4XCEIosI+GRUaxZ8sohsScd81quy8ejFTgx1RyFLYiNLYs2wUTO8pC+SJCIYUNaM56+OZvDqjQXABc4NJfD4Np9Hr4qv1w+FAgouDK/0Q+WqiRvjXlbGSFDF2YE4bk3mUdK8ecT5oSTCgY33i3bTLvcZOhjbfQdWm5wvYXapAgjAcHf0SFWwboV37ma85BNt2O+FAgokSWgcWNqq4vfqeVM67odWs/DO7Qxsx8VIXxSPXuxaEySdL+n4yosTqBk2IiEVD55NYz5bxVymAkUWkY4HcLo/juQRWDtIxXxQZQlG/aDdduO2SFCFIKAREHxQFdK///aslylaAB670I3zw6yysB+W7eDaaBbVmgVVEXFhKAm/b29HQ9RV45SroxnkyzW8dXsRA10R9HWEN6wXFssGfvfL11CseMkEPv2eM1gqVFHWDCzmq6jWLCwVdKRi/sZ3Y9lW5wh8qgyfIqFm2phZKkOAgNduLODMQHzLyn6r7fReT9TO1vdDzz05tOPDvUGfhFxZR6FsIBxQEPTLiId9cBwX2aKOyfkSBFFAaCyLSyOpfSdKvD2Vww/enoPrepUA3vVg376u1yy6YTUqo4qiAMd1ARcI+mVcHE5uesh9N3stO7V6flLSDNwYz8FxXIgi4NTj2RJRH870xxmURgDQ+Gw6joOvvjSBhWwVkiTgoXVntXTDwh996w4sy0E6HsAHHxusJ4vd/+dodqmCyfmVsz03xnOYXixDkgQ8dX8PhnsOp8JDRyKAhay3phoOKggekYCnZs4nX3h9GmOzRQgC8MR93TjTv7dxc9AvQ5ZEWLZ3Y4mGmzfON0wb10azqJk2fKqESyPJpiSYImqGr744jleue8k0n7yvG+99eKDFLdo9w7YxMeedqw74ZQy14R7d8jmZmmEjEfHhxz9yAYHA0Qi6O2xcmaammV2qwLIcTC9UkC/VsJTXkSvVsJirwrZdbxNzh2zHbQRwAMDkQmlNVpzV9JqFhfqGluuiMSg8TIu5KvSat9BpmA7mMhsrY0wtlBvvIV+qobjqAD3gbV5fGEqivzOM/q4wzg7Et3y9QEDFj330Iq6cTePJ+3vwQ+8+3bw3s0+O4+DNeskpALh6NwPdsFrYovZWqZrIFHTkyzUYpoPFfBU108Z8VsON8RxK9c9RzbBxdTS76TX8Pm9R4dJIEk/c143Lp1J45GIXPvb0MM4PJfDIxU4E/XLjO1eumnjl+jwm50qNRfmlfBWa7kVd10zbC+AAgAP8zrmui4lV155aKMPe4j6wG5PzpUbWqLmMBsO0t38CEdEqV852IOCTkCnouD2Vb3Vz6Bh44Y0ZL2uubqKkmbgzXcDsUgWmZeNUXwyD3RH0doTw+KVuXBhOoicdwvmhBATB2xAFANt2MZ/T8OEnBhEN+xAL+zDUE4Vh2HjrztKmr1so19Y8f3rV2Hu15bEI4I21J1ow1j6qbk0VGgfoa9v8rol2aimvNQKYXRd4/cbCto/vToVwuj+GnnSoccgz6Feg1UwMdkfx3FNDuHwqhQ8+tjHYe2LVWH8hq0Gvcc7WSjNL5cZGSVkzka3fd3dL081Gqfjl9ZGbE/nG/V7TzS3njbs1sWpexc9Qc8xmKo3MsuWKAcd2kIr50ZEIQBR2toRbrBheEAW8QwSr19b8PhmXRryxxKm+GHrTKwlBMgW9kV3TshxvQ3ETluVAVSR0JgLoTARQqnjjF8Abl7xybd57YIvW51rtzXoABwDcGM9B0/m9IM9Mfd0cWDu+Xk0QBFwYTqKvM4xUPIiuRBABv4JYxIdy1Wrc3+ezWiMT9vnBBPq7wrh0KoUPPz64pkrvG6s+jzfHc9B0Y8Nrrmmfvbp9K1krZxbLjUPOJc3A2GyhUQ3Mtl3MLG4+jyBqJ9t9B5aZlr3SP3JuDAB4vR7AAbRfv6cqEi7W11iGe6MY6Ips+rjV86bx2RJuTeRg2l5ljpnFChZyaz8rb9/JNO7RxXINL74zh5rhZTLPFHTYtntkxkhBv4oPPzmIC8MJPHyhE49f6trysaGA0vh9nRmIozPR/ACmomZ4ARwA4GJXe8q0ucWcFywB1Peu6+sGe7E8TomEVFRrFsIBBZpuNYKcptatK750bbaxD67pFr7y0jhMy0G2WIOmW0jFAhjuiaI3HdoyQd16kijg4kgS8bCKgCqjOxX0Xnt+Z2ORndzridrd6n6oVDFwayK34+f2pMM4M5DAhaEELp1KYajHO2B8diAOv09CNKSivyO85VmY3Xrj5mKjjx2bLR6Z7+R8RoNheveKmcVyY41O073gs81s2Gtp8hxpetU5o9GZIspV77VyxVpjTYZo2eR8uRHAYNsuRqeLOD+UQE86hHODCYzNFBvrE0v5atPmNY7jYnJh5Vpv3l5q/OydFzy8/bNnHxnE/WfS3lrJE2vXSlqlmfPJTKHqJa2Ftwfwxs29j5sV2Quu6O0IYbgnisEt5kV7MZ/VUKufxaoZNuYyex+LEjVT1bAbARwA8IN35mDb7XduUNctBP0yfD4JflVamU+3ke++OdMYu+ZKNbx84+SuAxyNcEM6FpYzUa/8f/2/1wN2dzMwEoA1WV1EQcBWAeTCuiwZrciIvf41xU0auz6bx+rnFMo1zGc1+BQJ/Z3hHZWpS8cC+MhTI3ts8cERRRGi6GUwclwXJc3A6HQBvR3hRvZH2rnlz8nyR2r5syVuUp54u4wxoYCC0LqseOGAVx4RAF68OgdRABwXgADIkrDl57qRBMdFPbjERtdiEL3pUNMyPcxlKiiUayiUao3PjSA0I/7fex/28u6SAGanIKJdURUJD1/ownfemMH33prFuUFmhKP9Uev9+fLYV5bERv8kigK6UyvV6FRFQjzi9YuFcm3NdURBQNCv4vJwClrVhOO6KJRrWMjKyBX1DVnXN/TzW4wjdvq4nXAcbwOjWrOQivkb45B2tboyCsDsvbR/G8b3O/hMpWIBpGLe4exMQYdh2ZBEEaoiwa/K6EwE0bHJAZv13+X182o6XOvXEMQ93k7Wz21EUcD6f9qdVj64F0kQ0DimJ7RmLea4Wf07FCBAN2zkSjpkUdxxtuP1/w7r1wmCfmXTChs7HxcAPlVqjE9mMxU04kuEta+32drYcSdJYmMjXBCAI7BHTEfEZuvCuZKOxVy18Z1aDuTuTAQhiQKmFkqw6sETgiA0vlOrryVJIi4Opzat0iwJImzUNyAFb812p+3b7ru8fnzC+z8dB9t9B5YJy4vTq/asTrp27/e2Ghettvoe542tV43XhI2fg9X7oIIgQJKkxhi9scfT5Pvm6rWWdDwAvyphZrECURTQ1xmGb5tM6fGIH49e3FkFlXBQRXifWcW300gAXf+OSUzSu28b9/j2dz1FFtHXGUYkqMK0HJiW7SV9y2kY6l574E9el2VZWbX+6f2/gL6OME73x3a1PqgqEvq7IsiXV4JTN/tOLWQ15Ms1hAMKeup7lzu51xO1u/XncXaytrhMkSUMd69kcE7Xv5uSJKI7FYJlrSRaFEUBmm7uuL/ZjNe2lQOT+1lbtx0X0wsl6IaNjnhgXxVo16zNiGvPKG01/tvJWaH9ENfNz1av/3E+RuttvA94Fb2Xz9xI4s7PGO3G8tjYqR/yU9atQcuH+FlVZRFXznYc2uvtxIb55Ca/j7lMBcWKgWhIXbM3vN5e9pG24/fJ6O9sXvDGsuW1L61+0Ly/c+PaFVErSMDK+Ui077xAliX4VAlwvXu7X22/SfT6Pktt07MWi7kqciUdoYCy57Oz7fnO6Ujq6wghFFAw2BXBYHcEXckQhnsi6E2HEQ4q25ZsX08UBZzqi0GWRMiSiFN9sS0/4D5FwmB3BKIoQFW8xx62jkQQ8YgPguCVEe5JbxxQDXZH4PdJEEUBPelQo4Sibli4OZFDvuQFcozWI2bb2ZP39UBVJZQ1E33pMEqaiZsTuUaULe1cwCejvyuMVCyAeERFdyqIaFhFdzKI84MJ9HaEIAje4a0r5/Y+ETk/mMCF4SQUSURnPIhnHujDSG8UPsX7zA50RRpllpcXcbSalyE2HFAwvVBuWuT0Qs7LQFwoG5BEARXdhCR594RmLESc6otBkUVIkoDhniiUdttdIqKWe+q+HgDAS1fnWtwSOg4+8Hg/UlE/YmEV3ekgzg/GMdITu+emRSzsQ1cyCFEUEPDLjewoZwdj6OsMo1w1AQjoTAZwayrfqKi16fN98pbZVZbHIqIowKdIGOnd+1h7erGM2SWvat+dqZUMvu1q+XctSQKSMT8ePJdudZOozcUjftx/Jg1JEhD0yXjivp3PoZ++vxuW48K2XcTDKhbzVeRLNUzMlbCY25jJ7lRfDKriBeAPdkd2vdFKzdXfFUHQL0MUBaTjAST3uNm82T37/FASfR3evSqdCOC+06mmtHmkPq8SRQGDXRGo/AztW2/aOxAlCEAs6kOupCNXrGGpUN2yMsZ6kaC3JiWKAvw+b71sJ1IxP5IxP0RRQCigbLmpJoqit+YjS1BlCZ94ZgRdySAEAehNh/Cuh/ohSQJkuTXrc6325H3dUFUJsizisUvdUFXmTyJPX0cYoYACURSQivkR8Mm4NZn31oMzGr7/1gwWshpyxRpuTeYRC/twqi+OgF9G0C/jTF8M6bh3iKorFUIs7N0romEVXcnNs6E/9UDPyufxQjf823we17dvdT800L3SR3UkAhjpjXkVgkQBQb+8ZfZ6onay3XdgmSyJGOmJNfq50/0nr59b76n7eo59v7d63nR+KIEHznYgFFDgUyWcHUigc909+IEzHUjG/BAE73P17od6EQwo6EwG0ZMOI+CT97WuspnJhVJjreXWZA6v31xEtqhjKV/dVQb2Vgv6VTx8vhOSJMCnSnjick+rm9T2OuKBxt51JKhuGvS5W9GgiivnOqAoIiRRRFciCK1qNpIyLnvqck9jHtqRCOIT7z6FSFBFRzyAjkQAiYhvy/vtvQT9Cvo66/NeVcJwT3TN32eLOsZmi8iXaphaKDcql+7kXk/U7lb3Q70dIZwb2HkSspHeaKPPW30uAAC6kuvmIIkgro/nGv3NzT30N09c7kbAJ0GSBFw5m95XMtDJ+RLmMprXF26yF7Iby+d4BAE43RdDb4d3v0nG/EjHN79vbLVX0yyDXREEfN6c7PLpFJJRf+PMUTiwfUAqnTx9HWGcGYhDkgREgioeWxew++jFTkRCauP8zdC6fnSvBEHA6VVn/B4834n7Ttf3OgLKrvY6jiNZEjHcE4UkCVBkEafXrZsu5qqYmCttu6ezLBb24cpZ73cb8El44vLR/N2Kolf9TNNNaFWLifDoyFBVCe9/bACKLMInS/jg44OQ2jCLwLuu9EISRbjwziSfG0y2ukm79oFHvXMykiRgqCeKRy91trpJu1Yo1zA6U0C+VMP0QnnHe3nrCa67flpNW3nrrbcAAPfff39LXr9SNeECHIjvkWU70HQLflVq6uECw7ShGzZCfnlPEa6Fcg3XRjPIlw2osohwUMV9p1ONDEBFzUBFM5CKB6GuOmzuOA7msxr8qgxVkXb92dB0E47jNjLnaLqBXMlAKubfdlNvN968vQi9thK4cX4o0fbVOF555RWoqtqy+8BeGZaDTF5DKKgiGlSh6SYs24UgeNlzlv/NHcdFRTcB1wsCD/rlLQfTM0vlNWWKUzE/TvfHGz/XTBuGaTc+y5puQlWkxgExy3KwmNcQ9CtrPhe3J3O4PZWHIomQZBHDPbENi7AnhV6zYNoOQn6FmTSOkHa9D1DzFMo1/Pg/+xJcF/jPn3uOGz4n1EHfC0zLRrVmewemBGFN/6zXLFi2jXBAgSB4k/OAT4KyKsvdm7cXMZ/RIEkCRAg4PRDDQNfW/elh9DnLgcvLhusl2Tej6RZyJX3TsSn7RzoqmnEfWD1m3mm2F9d1UaoY0A0LsYgfPkXC6HQe18dz8CkiZjIaFElAVzIEnyKhrzOMwVWZ9FbPBctVE6IA2LaDhVwVyah/X9nq6PDohgXT4r2w1fZyH1ju4xIRP4L+zddfckUdX/j2HeTLNciSiGQsgE88M4JCxUBHzL/tIUnDsDExX0Q05NvQz1YNG9PzRcSj/kZWza3buXbdiIi2tt29wDAsLBZ0xEIrGcwzhSreurMESRThUyTMZyvoSq4kBTo7mADgBWfGwioUWVrT/0dDvjWHqlavEyeiftRMG4s578BidzIEWRYba+Pr5w2twjE9HTdcL9xo9brGcTiwM5/VIIlAOr75Osayvb5v13VRqZr1ILmNe31bjc2uj2dRrFclMC0H1ZoJRZEgwsuq+9i6BHvVmgXLduprSmvvv9vtd9q2g8oe91g13YTjenuYtuNu2CtqhrJmoKQZSEW3HysfpJN0HyhpBq6NZhs/+1SpkfF6/djnXvOfe40JKlXvMHYooMBxvLULSRTg98lQJBF+n7xmD7RUMTC9sLJ32ZEIoL8zjGrNhiwJsGx3z3v6J9ny/vHy75y2dpTuBWXNWLOOsPzv6NguRElofO82uzdv1e94B3INvHM3C58qQRJFCAIa/c3y3EQQvORRLgC/Iu36c+P1aRYCPvmeCRmvjWbXJIzaqsrP8nsKbdIHEjVTK+4Dy+v896o0t1u27UCrWVuO3bbrx5fXKMNBBd2p3QeT7uc9Hda6pm5YyBR0JCIqgv6Nr7Xt2Ls+fgn6FeTLXpKPZd2p4Jo9nXaxuj+Zy1TWvKeedOhEJQLZ6j5w1NbnTrL5rAZR8BK3t6M3bi3i7lQeJc3A6b4oHjjX1Ugo307uTmdxZ6qER86lkEy0X8We2aUKJudLjZ+TMT/OrDo7u9N4A86w2sTEXLGR5X454xXtnGHauDqagWE6EEUBF4aTTQmGKVYM3JzIwXFc+FQJl0ZSu87q71MkvHl7CblSDZWqiVP1f9uedAiO4+KFN6bhul6WlI8+NVSfYDv46ksTWMhWUSjX0JkMYqjbOwS3k8Pu04vlxgJWMuZHLKTiay9PwrIc+FQJzz01jGgTbuzJqB8zi5XG+2QAUmvohoUvf28cJc2AIHgbwY7tYnKhBJ8ioScdwun+OOJhH26M57BUqGJyoYTOeADJWACXhpObLqzEwz7MLFbgOC4gYM0h5kK5hpsTObgu6gv6LgzT8V5/IIFgQMFffH/MO8gpeNkqz/QnoBsWXro2jztTBZSrBoa6ovCrEvo7w8dio2c3FnNVjM4WABcIBxVcGEpyU5voiIiFfTjdH8ftyTxev7mA9z862Oom0TFTqZq4Pp6FbbuQ61lZCmUDkwsl1Awbi7kqREmAX5ERjyhIx4JIJwK4OJxE0K9A002MThdwYyIHTbcQCSmQZRGui00X/TKFKu5Me31OKKDg4vDB9DmpmL8RxCFJAqLhzcebmUIVX3lxApblQFUlPPfEUCPgcylfxd0Z9o90PKweMwd8Mi6OJHc05r0+nsPbt5dQM210JIIY6YngB+/MYXyuiMVcFdGICsOwcW4giWBAxpmBeOO5q+eCyxuhc5kybk7kYdc3Md//6AAujTSnWgMdjGxRx+2pfOO+fWE42bYln0+aXFHHV34wAcOyocoSPvzkIOKRjYFTkaCKOzNFLNSzxp7qjeILL9yFbbsIBhR85MnhTQ9AGYaN3/7iVWSKOgQB+MBjA3jkgneQolw18DtfvIZixYAoAB99agT3ndm8itT6daPVi85EtHOabuFL3x+DVvWqzL7noX70pkOYz2iYW9Jg2Q46EgEMdEVgmA4Ar4z87ckc7kwVYDkOBrsiePRiFyYXSnjrVga6YSEdD+CxS11IxQJr1okB4MxADDOLFdyezEOSRFwYSuDZh/txczIP03IgSUJj3tAqCzkNY7NFwPWqWp8bTHBMT3TMaLqJa2PeuoYii7g4kmxa8rBWeP61KUzMeZvy54cSGwIjlpWrJq6PZeE4LlRFxKWR1I4CHlzXbVRoArwsmt2pleC+mcUyppbHZlH/mjleMupvBHH4VQnFSq2xn7y+Mtp8VsP4bBEAEAt799/lw2QlzcCN8fp+pyLh0qlk41CRadm4ejeLmmk3qpLs9HDI5HypkYkyHvFBNyzoNRuCAJwbbE7it6n5Er79xnRjrPyxp4fb+vPWDoI+GT5VQs3wEvkt7w9quoUvfXcUWs2CJAl46FwH3ryV2XL+c681yfHZYqOSRkfCjztTRcwulZEp6uhNhzDcG0NPKohXry829kAfudAFURQae5d+VcIbt5ZQ1gzMZzX0d0YQDip72tM/qRzHxY3xnHdIXgBGerzKbHS0TS+W8fxrU41744cfH8LEfBGzSxXMZirorleJOjMQx83xHKo1q3FvrlTNTfudsdkiJueKmJgvoVqzEAooGOha6bMcx8FXXpzAxHwJ2UIVkaCKdCKIwc4IzgzEG9UF70WvWbg6moVlO5AlbxwR2CYIJBnzN4I4ZFnctI+ay1QafXk84sPZgTgDOejYuDtdwFLeWxNo5kF5y3ZwdTQDveaNAc8OxNeM3Vb34+v36wzDxn/58nUs5jQIAvDeB/vxxP07r7R2ZyqPTEEH4FUW6u/c+Xs6rHXNsmbgf35vDDXDhiQJ+OBjg2sOg2933zEMC//z++MoVbzxy5WzHRAEwHUBQUBbJtqybQdXx7Ko6l5/0pUKrn1PkfZO+NwMNdPG1buZxvrchaEkQjxH2RIvvDGNsRlvbnx2II4n7mu/SpAvvTOH77w1A9cFXrvpwyMX2q+KxddfHsfvfukGbMfFH31Dws/95GMY7G6vM/HxiA/Ti+XG/DO1x/s3Z6ZtwHFczGVXohMXc1VYttPCFrWfTEFvbIQ5jtvYBN+v+Wz9ADuAmmEjV9J3fY2lfBU+VUY0qEJRxMYEczZTwbXxTKMEbUkzMFGP3MoUdCxkq3BdF+WqiekF778vZDXYO/hsrC7dky3oePtuBpblNN7Hncn8rt/HZvo7Izg7GMdwTxSXTqWY1aRFJuZKjc+V47h47cYCNN1EzbBRrBgwLQdzmQrKVRMlzUChXINju8gWa/VqGZuX6gv6FVw+lcJQTxSXhpNrJhJzmUrjs5spVBuTRtcF5rIVzC6WVzJxu8D1Ma/M6uhMAbbtIuCTEPDJcFxAFETkijWcNHOZipduHUBZM1Gu7r30KxE130PnvMxir91YbHFL6DhayGmwba8TKGoGphYqKJRrsG0Xo7MFmJaNYtnAYk5DqWIiV/L+bqFeXnc+q8GyXcQjfoiCAJ8ioWbamMtqjbHranMZrdHnVOrjgYOQigVwcSSJ4Z4oLp9Kbbmhfmsy3xibGoaNW5Mr5dhnl9g/0vGxesxcrVlrKtVspVqzMLNYRs30DkpkC1W8dG3eW/wXAFEUILhALOSDAxf9HWFUa1bj+ctzQct2MDlfgm7amFmqeGP+eubXq6uyadLRtPpeWKmaKFZO3nypXd2cyMGwvO+vYdm4ucX6y1JBg18RkYz6kY75MZ9dGRtoVRPjc4Utr58pemtTrgu8en1lrHp9LItipb424AKv3Jjfsp3r142W7zlEtDtjswVo9fGqbbu4MZ5FtWahXDUx2BVBZzKIkF/Bg+c6G2uofR0hLOXr6/+ut3Y8OV/CzEIFuuH16dmi3vieZot6I4AD8OaoUwsluPD6++nFMm7VAziW27E8b2iV1f1YsWJ4VQeJ6FhZyFUbYxfTchoHsNpRWTMah68Ab7y1lYVV6y6GufP3vX4+OLNqLLb+52xRb/QHANCZCOL8UALDPVGcG0ogEfGjKxlEdyoEWVp7OHV2aaU6QaFsQNNXrjO/qu01017T9syq8aDjuI1D9Tsxl1lp+8RcEeWKd8933bV/tx/Xx3NrxsqjM5uPlal5JMkLUhrujeLsQLxxWHR0pgCtvgZh2y5eeH1m2/nP+jXJ5fkK4GVyXv1ZuzNdxMxSGabloGbY3gFzF3jrzlJjLdN1gfG5Ii7V1x8vjaSgGzYcx0W+XINpOShqNW9Pv9i+96XDVl69XtzE7y4drBv1JFGAd2+8Np5FWTO9PXcXyNYTjE7VAzKAlXvzbGZjv2PbDhayGgoVo5HEMRX1Ix724XQ9aHAxr2MxV0WlasK0HMwsVmAYNspVY80172Uxv3IeyrKdRpXBrXQlV/rC+05tHkC5ui/Nl2pr1kuJ2plp2Y2zOEBz79HZog69tvUYcGbdft3qvcXRuWLju+u6wKs3F3b8usa6sejs0u7e02Gta96eyjcCWr01n7XzhNlt7jtTixWUKivjl8n5cuPs1eVTqbbMpp8v11DVV/oTrWrh0sjKe2K1Z+/s3Nr1ueacXaXdMQyrEcABALemVs4ltJNrE1kosgRVllA1LLx5p/32dr/20hTs+jpE1bDxxe+Nt7hFuxfwybjvVMqbf647O7sbTEPRBkRRgCyKjYmKKAoQT0BU+HxWw6vXvYHcwxc60ZXce/mi9Zk0dptZY3ljTJFFDPVEG2Xi1pe22kvGjoBfhiQKCAUVlKomFMW7hiKJCKw72LZ80M3nk1E1rMbBNb/q3QBEUdhRxgBFElFzbNi2d0DfMG1UdBOhega2oE9BplDFXEaDIosY7onuujzyssQmGSWPumLFwNRCCaIgYLA70tLMdFvJl2qYXixDkgQMd0fh98lbtjvgk1GueqWkc4UaBAkIqBJE0fusLearKFZqjc+1VP/vywv82/3bB3zyppkvVn83JFGAi5XPpSKJGzKGSqKA6+NZzCyWoRsWVEWG33YRCsj1Npy8ACBFFlFddRZr/YYLEbXWQ+c78d++dguv31qE47jMGkpNtXpMaVreJoXtOChUDGhVEyXHgCgI8Ksy9JqFJaeKUEBBT0eo8XxZEhFQpXq5cQmyJEIWxU0/q/sdK+9GJKjec/FxfUnmgG9lLKYoa/vHt+8uIpPXkYj68eTlHsh7bLteszA2V4Rtu+jrCCPOjDB0CHY6n6yZNsZni6jWLOg1C7OZMooVA4blwHEdaFULpuUCrgtFlhDwK9BrFgrlGq6P5yDLInrSYSiy2JgLCqIASRIgi954XxQEQPDWGgI+lnA+6jbet/lv1i5URcTUQgmabiHol3H/6eSmjwv6VNRMG2XNgCAK8CsiciUdpuUguMU8HAAiobXrF6u/z2H/+r/belnYdhxML5ThuC464sGmV3qxbQdjs0Xoho1UzL8m0zTRcRLwyZjPVlAoG/CpEga7Il7VLcHLEBsLqShpBt6+s4RY2IeBrggK5RpkSYTruiiUDRTLNQgQUDOtRhUtqV6tD6ivFwtoHJwI+GTABarwDhJIkohwUMHNiTwquomAT27MG/bDcVyMzxVRqZpIRP3o69h5uXtFFhsHHSB4a4VEdLxsGK8eke95pWpiYq4EFy4GuiI7OhylyiIkSWgchPWrW4+9d7O+Ylo2xmaLMEwH8YivkaV2s+fdnc5jIVdFJKDiwnB8QwXH5YzItu3AsLzkXYIARIJrx3+KLDUS3i33RcskUcBcpoKKbqFmWLAdr4pKKhbY17qRLImNg0qKLK1Zl2rWPMbvW7+OxOMPzaDp3vfFcV30d0YQDa39viiyiM5EEIu5Kt65m4GqeGsOJc1AtWbBMG34FRG6aSMWUiEIAgLq9usgq38WBaz97ikSJFGAU98HX35s0Kcgi5XFwoBPRqago1CuIVxTG5+5xt5n/f9Ny8HXX56Apls425/A+eHEvn9nx9Vhrh1T86xPoBT2yyhpJgTBRbaoo6QZGJ8t4nRfDJ3xACAKXpBGWYUkCciXanAcIB33Q5a8fQVJEiCKAvLlGizbQTLqR2ci2Dif4lclL8mMIEAUREiS9/2VJXHHnxvv3lPEXEZDOh5o7G/cy70qOymy2DigKQjYUTVkonYg1vf9loNxm/nZVu+xf6HIIlaniDBMG9fqCaIUWVgzvt3N+EwShTXvaf3ruq6LyfkSihUDkZCKwa7ImnNyy3sggHeGbv265hu3FjE5X0I0pOLJy91Qt6ngVq6amKwHdA90RxBeVTUhoK4da/s2Gecsj4MheBXLxmaL9eR7a9+TX5UQ9CtH8mzaTq0/VybLIkIB5VhXmjAtB+OzRdRMGx2JADoT259rVaR1vyP2RS0hiiJmM2VcH8tBAHD5VHrP5wtaSRFF6DULrutCVSXEm1Dl8rCF1p0djYfaM9jL75Ph3+c6xIGuYvzcz/3cjh8rCAJ+9Vd/9QBb097ODsYxPluEC2CwK3LsDwo6joNvvTLVyM7xrdem8NkPnNvz9dLxACq6iXyphlBAQe8uNpVqpo07U/nG4NK2C7g44m2y93eGYVo2NN1CMurfU8BCKhbAwxc6cXMih0jQa1vQL2O4JwpRFGFa0yhqJkZ6ouivZzLxKxI6EwFUdQupmB896RACfnnHn40zA3Gv3OV8CeGgAp8aQLFSgyyLGOqKYKA7hLfvZhubf6NuAeeHNj9YcNzYtoObE7nGhODWZB5Xzna0uFVrmZaD21P5RhtvT+VxcSS1ZbtjYR9iIb+Xadew0ZMOYqmgY7A7Cp/iTRwisQAyBR2xiApVFaEqIqJhFelYAJ17KIk70BWBZTuo1iz0d4YBwasiFPDJGOyOQJElXDnXgTtTeQR8MhIRr+R3JOhDKKAgHFJhmT6cH06gNx1uSkntdjPcG8XYTBGGZaM7FWrrCRvRcXRhKAm/KiFfqmF8roiR3vYq60dHW086jJpho6R5FbO6U0FMzJegVU10xL1+PByQEQwo8PtlhAMqHMdplFnsSYdxYcjErak8oiEVsbAPqZgfQz3RTV9vqCcKxy3AMG10JVvf59x/Oo2SZmCpoKM7GcTFVZuowz0r/aNes3B3ysuUUSgb8KsSHr3YvafXvD2Vb2SgvD3ljaO4IUkHbfWYuSMe2HLMOzpdQLFiYGaxjLJuIh0PYnq+AlURUa5akEUBkujNXUf6wgj4VGRyOlzXhW54wRzjs0WcGYg35oKO4+KZB3pRqBi4fCqNZMSHmYyGnlQIzzzQe8i/Cdqt4Z4o7tbv252J4JrNIzraREGE4wC268JxAEHYvK9RVRGxkA/5kgFJENCVDMLvk2E7FsIhdcv1p6GeGJ68vwfv3M0g5JfxsadHGn93YSSFqcUyrk/kEA+p+MiTI5teA/DOgzuOC8f1NkabvQo5uVBuZNSrVL1D5Sdx3k/HnygIsBzX+867LoR68OTpvhimF8solGvwqTI03YKmW/CpEjoTQVwaSSJbrEIQvftEqWogHlZRrdkI+mWc6othuD4HDQe9Qwdv381AVSQ8eqELUwslvHJ9Aaoi4vHL3YiGffX7jgvbdppSnn16sYzFekUPTS8j4JOR3GGmsVO9MYzOFGHaNnpS4X1vchHR0dOTCkGvVx6KhX3o2MMew0G4OZFrHKS6OZHDQ+c677mnpqoynr6/F6/fWoQkCnjs0tbrDr0dYdRMG5WqiXjEh3R86/c9NltsVCCvVE30doSQLeqQJS+x2rIbYzlUqiYM08aSUUXNjG592EcQ4LpeBQNBaGzxNZzqi2F0pgDLdtDXEV6TREMA4LguMoUqBEFAVTdxZ7qAUEBBKhaAplvIFnWE/Ar6d7HHenYwgfH6HPTcYAIV3cRS3tsrWq7esF+PXuyCXrNR1AwMdoUx3MN12ma4NbmSXfrmRA4Pne/ccAhS01cqn1SqXjKySEhFsWLAtB2cH4yjUDZhOS7O9sdwcTi15vnr57arD/kJgoCzAwmMzxUhALgwnER3Ooi372QQCEjoTXuBWA+cSePaWBajs0VEgwpGemONzNeabqEnHUIy5ocsCYhFVESDKlKxAK6NZRvZyl+6Pod0wo9U7Gjcq46agE/GcG8Uc5kKVFnCcO/ma8x0tDx8oRO6YSFfNjDQGcbFkRQWshrmcxVYtoNixUDQL6NQrkEQvOBvQRAQDigYnSk0DoYvW/5OFssGFElENKjW+5mV3iYW9uHxS914684iShUTnUk/Aj4F3anQjvfQboznIEkiFEXEQk7bd7LXZaf7YhibLTb6wL0mMCU6aiRRwNmBOCbmvWSvW+0D7kU84kNvRwiZgr7p2G2kN4bR6YJ3niUZwuRCuREsJUsinrnSgzduZRD0rV2jvOd7kkSc6Y9jcr4EUdz4nhZyXkJiwOvrfYq0JkHM6j2Q/q7wmrHz5HwJb91eAuAlzlUkEU9tsR/iui5ujucaCbdvjufw0PmORsDI2cEYcmUdM0sVJCI+XDnXueb5p/vjjbF3dyrYaBPgBXzcfyaNO9MFhAMynriva8e/n6MqElTR3xXGYq4KvyphqLs5Y/2jbHy2iGxxZY075N8+aCUd90Or7e3sKjWP69q4O+3NQQDgznS+tQ3ao4sjCSwVqrAsBz3JELraMFHW3/30ZfzGf30DuVIVIz0x/MiHL7S6SS1zoKvjP/jBD9b8XCqVUCqVIMsy4vE48vk8LMtCJBJBNMrJ3nYiQRX3nU437XqG6R0KC/jklh/S2oxlOY0ADgAwDBuW5SBX8jJndKdCuy61NdQdxdAeznSZlgPDtLGYr0KVpTWLmrIkIh72QYCX3TBTqCLoV3ad5eXSSAqXRlKb/t2T9/eiZlhrMpyYloOeVBg9Ka9DVxUR9+/i8xEKKLh8ynu9StUrXXzf6Q6cHYx7h+krxprV3UZmnhPAdtzGwBlAo9PeK9d1G2WwvWxK+z/6YNnOujY6sDf8N3vNn/s7g5ha9ENVLCiKhHQsgEsjSfhVuVFecSGnwXEdPHqhuxFlWijXkC3qiEf8axZnHcdFrqRDEsVGpmrLcrzJoQgM98RwbnBt1pre9NoB6P2n043P7avXFxqTn9N9cdx/Jn3isyX5VRkXhk9G8BRRO1JkEZdOpfDq9QW8fSfDIA5qKkkUcLo/DtNyML3oZdzXayZCAQVdySDCQRVBv4xk3IdY0N/oM4364mhFNyFJAp68rxvp+L03OHyKhAtHKGBXlkW856H+Tf9udf/4xq3FNX+3HISxF6vHu47jwrIdBnHQgVNkccOYeb1CuYa7M3n4FBmm7QCuV1VvoDuCnnQIr99chGF6gdqKLOJDTwzBMG28fnMBozNF79C37TZKhhcrNSiSgFBERcivYrDbW4vJFGLIFXV0pkKIsqz1kacesfs27ZxuWBhctYFVra3tuzTdRLVmwXIcpGJ+WLYLWRKgqhKunFlJMNHIYF83l6mgrBno7Yjgicvd6EuHEAooSK47hPTBx4fwwceH7tlOURQb9wcAsBwXUhPPN6xfa1m/7lTWDNRMG9GQj/0xtbWKbqIvHUZffdm2Znif9VQsAEWS8O03pryNtvqaWSZfhSx5FbQeu9SDpXwVd6e9DX9VkXH5VBiXT6U2bAifGUjgzMDKmMIFUDUsxIIqTvfGsFjQ0ZUIAvWHmLa76drebqz/Hq+/L23H75MbSZKI6HgS6+saB61YMWBaNuJhH6R7ZDF1XdebU9XZthdgJ+4gXHWoJ7qjA3GSKKA3HUK1Zq3ZwzQsBxNzBfgVuZGsbf34JxRQ0N+5Mk6cy5QxtVD2DpfJUiOr62ZBJ/NZDaVKDem4t0a0HASyfjsq4JO33Iu0bBe99aQipuU05p+m5cCvekkI9hJ0EV61Hwl4+2S7qd60E35VxgcfH2zqNWltX78cCCqJaycFtXXjgYpu4dxAAqmoH5mCDlGUcOlUFB2JQGP9fCmvIV9a2evfbm4bDalr9r+jIRVn+jeuozx0vhMPne+EYdq4NZlDzbDgU2WUqwZGp008cLYDZ1bdk8pVE0t5DbbjenufLlDWzB0Fcdi2g3zZ+16ur07SaoVyDYs5DalYAIkdBtfuVGcieM/s0nS0+FUZ73907b2xMxnEqd444KAR1Gg5LlRZQm9HeCVjPAT0doQa1Twsy8EbNxfw2o0FxCN+nB2IIxRQIAiCVym4PreQJW+t817rnVtZ7qtFQUB30juIONgVbUqC26Bf2bIPJGp3sbAP9x9QcpT+zsiaMepqPkVq7NfZjoux2WLj7yzbwZOXe/HMA5vv9QEr66CRoLohsCoe8a1Zq9B0CzOLJYSD6qp7lWf9+kRo3fhztXLVWPNzZZN9xeU5RjioNs4wLb8nxwWk+i1JFEU8eV/Plu8v4JPR1xGGZTsI+BWYZgGL+SpE0UvY89il7gNLKJwpVFuy39ObDm84F3acrR8LG6a9bRCHIAh7PrtKzVPQvHOyy9VzbMeBppkIBo/e+entREJ+nOqNomrYGOqKQNPNtkuUlUyE8Q//2kON+eFJdqAnZL/+9a83/vzmm2/i7/29v4fPfe5z+OhHPwpJkmDbNr74xS/in//zf45/9a/+1UE2hVbRDQtX72a9wYYAnO2PN30iv1+q6mXrn6iXJRvuiWJivoTvvjUDuICqSvjYU8O7DuTYU1skEVdHM8jWM+Koq0qgjc4U8J03Z2CaNvJlAw+d60Qo4B0s20kZ5ntZ3qgDvAM+951OQZElBHwywkEF5XrH0rnH7ANdySDuzhS8g0A+uTF4C9dLmi0HeOz1+u1IVSTEI75G4MV+3/utyXzjWsmYf80i4V75VQnRsIpi2ZtgdCYDUBUJiaivkblpdbtVWcBrN5dQ1gws5asI+mQEfBKGeyKwHSBb1HF1NIOFrFeWNFc08NyTg5hZqmBm0ctCE/RXcGkkBVEU4LouboznUNK81+9KBTHUHcXXX5nAQtYLCJmYK215+HIzXakgphfKAIBoWN22JDkR0VFxecQL4njnbgaffPepVjeHjqFXr8/jxngO18aycB0XQb+MhbwG23IRDanQdAvdF70JrSgK6EgEkS/p+NL3x71sNwLw7it9Tc28c5QM90RxYyIHw7AhSV62ob3iWISOoqW8hq+8OIFCqYaiZmC4NwqfKsGnyuhOeVn5e9MhzGYqkCUByZgfqagfM0tlXB/PeRmAXBc9qRC6kkG8czeDV6/PI1PQIQjAIxc7MdAVhSgIeP61KbiuF0T1kSeHEN9DlUkiurfT/THcnSnAtl3IsojT/SuBwIVyDTcncnBdwHEs3JzII1PP5HVmIOZlU3a9RB6J6Mpi/I2xHF66NgcAUKR5QBAam5kPne/cctNyO52JQCOjXTziW5PQpBk6EgEUyjW4rrfhu3pTdiGrNTZ9fYqEy6dTLC1PbWu4J4JroxlUazYEAY3xarlq4Le/+A4KFQPFioFLp5JIxwIwTB9KmoloWEVvOlRPrOJDrqQjHFQQCar3THpyezKHP33+LuazGmRJwEPnOvDc0yOQJAG27UIUBaRiflwfzzbWlpfX9najIxFEtqg3xg/JGMcORHS4ZpbKmJr35vEBn4xLp1IbqgSsJggCOhNBLGS9MY6Xmb+5Y4zV4zlJEnB5xBvHfPl7oyjU93MuDCfw6MVudCaCGNU37s8BwJ2pPP7oG7fguIBt20jFvAoFkiRs2GO6PZnD99/2xoI+VcL5oTj0mjcW3M3+VkcigFyp3u8Ua4gEVIQCCkJHMBEgHY7OZBDz9TlBIurbNGt9tD42qdYsQPAy3c9nNUSCKgplA9GQ6q1Z1qvSLO+rwwVUWcJHnhlu2sHC5fMPmm5iarEMvyrhznQByYgf00sVfPCxQXQkgo29d1WWMLVQRkciiHjEh54dBBfZjouro9lGMH5/19E5qJgpVPEXPxiHbXuVeJ59ZKDpAVN0PHQlgyiUawj4ZC9QT5FwdjCBcFBp9Kt9nSvVmmJhFd99awr/4QvXYJkOHNfB5dNpXDnbgYGuCJLRtXOL7lRwTVKI3disr2ZiB6L2IIkCOhKBRsXOVMy/bZB1rqjj1lQecL3kyZdPp7Zcf9QNC1/67ii0ev97+XRyzRrHdtXv1hvqjuDq3Y3rNMtmlyqYnPfOKfp9a89gpeOBbecb603OlxrVwQI+CTcnc431Vst28NiOr7Q7k/OlNfs9zz0xdOTOhB4XG85cHrEAX9pcOhZEwKegUPa+n30d4bYL4ACAmxNZvH03CwCYW6rgL7//fItbtHvjs0V8+41pry+QRXz0qeG2C0RplkNLc/7rv/7r+Ft/62/hE5/4ROO/SZKET37yk8hkMvjVX/1V/P7v//5hNedEy5dqK9GiLpAp6Eeyw37PQ/2Ymi9BEAX0dYTx1RfHG9UhDMPG5EJpQ9nVg5At6fCrMlIxAaIgoFg/kA8Ad6a8zrhas71SxoUqgv4IMgW9aUEcy0zLK2uZigUgigIuDCVRrBiQZRHhbSI5t5OOBxD0yzBMB5Gg0hhEi6KAC8NJlCoGFFncNlL0ODo7EEexYkAUhX39O1q20wjgAIBsQYfT6+47W4QgCDg3kEBJMyCJQiOY6Uz/5u2ey1YRD/sQ9MvoToUQC6v46NOnEPR7XcB9p1N48/YiOhIBSKKITKGKYsVoTLAAL7K9WrMQCiioGXYjgAMAFnNVdMT9jQAOAJiYL8FxHIjizhZW+jrCiIVU2I53KLUZFUuIiA7a8oG4d0YzcF2X9y5quvHZEiTR6/sFSUAq6ke2XMN9p9IQ/v/s/VeMLGl63wn/wkd6V97X8ee0m+7xnCEpkZRmKZGSQMpQF1wIK2C5ALUXH/dCEihR0BIEVnfayxUgiw8QSAj4pDWAKENqRWo4Q07PTE+746vqlK9Kb8Kb7yIyozLLnao6trrjBwym62RkZERmvO/7vI/5P0KU2DgzliGTVknrCpoi8eHDZtyumBAeb7U+s0UchazGz31jib2GSSmnP9OmPrFFEl5HVrfb+H5INq2iqhKlrM7X35rG80NyGRXTcrmzVMa0PWzHZ3Y8iyyLbFd7TBRTFDIqYRg902PFFN/5aHukK0ej7ZDSTLqGQ9jfa3tewNpOJyniSEh4QYwV0/z8N69QbZmMFVIj4iS1lhWPxWbHRRIFJkopRAEEBN66OobpROp0wwmHj7da8X9XWxZBGFLqj+HHm80LFXEsTOUp5XWC/rr4vCnldN68OoZ1zP3sD/nCbNen03NeS79lQsJZSOuRD26v0aOY1eL19cGTJj3LQ5ZEClmNruFyY64U+2bbXYflmQJvXq1g2l5fI16IEyFP4/FWi3onKgDz/JCtao+e4fDW1TF6lktaVwiCME6ygsgHfd4ijnxG5a1rY5HafEpNkqsSEhJeOsPxM9P26JnuU+2Wpek85bxOGIYvJDFg2J7z/ZBGx0YUhbiAA6IkhS/dnmK8lCKTOhqfA/hkpcag8bokSUyVU7xzc4JyIXUk4f3R5oEtaDs+miKzOJU5d3yrkNVie1NEIIQzrTsJn10Wp6LxctqeQJJE7iyX6RguqiKS1hXGS2m6psM7N8bw/JCUJsdq/iv9JDcAx/NZ3+lcaL9yHIP8B1WRWJzKs7rdZqyQQpZEfD9kZbsdF3EAzE3myGdUJiopbi2NoZ7BlumZ7kg3xWrTfG2KONZ2Ovh+9OWGYfRdJ0UcCccxyA+5NlegZ7nkM1rchSaf0fC8oC8g5ca+8n/9u3cJgoAgDAGB/UaPfGYu7mwxvLfYb5oXLuKA0bU6SYZNSLhcLM8UqBRSZ7K195tmbBN4fkCrY59YgLy134sLOAC2qwY/8+UFepZLRleOLTQ9ibSu8ue/eYWd2qifZsDwHsOyfRan8kyWMxfaPwz7OGstG9+POi8LghALKr8IVrZah+I97cS3+oI4Kecy4fXGcjzeuznB2nYLQRBYmMrjeQHyJfNt7jdNMimFMAyRRJG7a1W+/tbsq76sc/F4aH/oeQFPdtq8de3FdCh63XlpRRwff/wxf+tv/a1jX7tx4wb/+B//45d1KZ97Dqt1aS9BZbbWMlnf7SAIAldmC2d2HM4NtebNplXoV6VCtIl8GWRTCobt0eknx4+XUtRaJn/4wRaP1puEAuT6RQ7p/nf7vJR7NVWCXtSmdqfew/N9JkoZrswWEEXh1Fb3nhfw3360yW7DpJzT+YkvzNAxXZ7sdJAkgSszBbJxwl/Ao80WXdOlmNVYnskjPeX8FyEMQ1a22jS7NtmUwtXZwmtpxAiC8Fwc+JIoIMtinEipKdJzc3iLYhS4Xdlqc3+9GX+fubTCdz7aYWO/SyGj8uNfmCOXVhBFAV2V0VVYni6Q1mW+f2+PhxtNMpqMKovs1k3CMKSU19A1ua/A4dDs2tTbFvtNg1Jep5TVQIAwCNmtG/32f1Jc7Q5RS9KzFnAMeBmddS7KZXl2ExISXi43FoooskizY7NV7SVBkYRzs77bYb9poqsS1+aKsaPR9yPbrNY2cdwAwgDXC9iq9fCCkAfrDSrFVOxgHKyhD9cb/NFHW9xba1LIauQzKtcXCqddwhG2ql12agaaInF1toD+FKXfV01aV1mafj42xOtsiyR8Phne86qyxFQlTUpX+KMPt/jg/j6KLPHjX5hBU2V+eH+P/+cPH+N6ATuNLvW2zVghxdWZQqxElUkp1NtWVKQUhqT0KJFCFASgO/S5yVhISHiRZNPqsWuOSMgP7+/RNV0ymkyzZ1Fv2YiCwPWFIqvbbQzbo5LXRwo0c2mFWisKCqqKRMd02Kn1oiKQ8slKdD3T5fFmC88PmB3PHgmUDnx3QRDyeLNJq+c81/1wqu93OIyuSgeBTOHl+C0TEl4kaV1maXrUJh8r6pi2h+V4EER+3O/d3aWQ1dAVifsbTf74kx2+cH2MXEbDD0Lkvt9t2K/bNV0ebzbx/ZC5iRzjpRS5lIomS7hu3x+pSqR0hfXdTjyOF6dyiKJA0M8QHiRWnpfI1/h67xcSEhI+u+iqjGVHBeqCEHUrOwvD+x3Dcnm02cLzAqbHMkxVMue+jp1aj+1qD1kWyRyybXRVQpHFkdhJJnXw+WldIX1MPtXhZLKpSvbIWjIgl1ZHBLkGyduCILA8UzjX/k7XZIIw5Pv39vh0pU6zYzE3nuPH3pk5VSDk48c1PlmpoSoS33h7mrHixTrcV5tRLHl4rUt4teTSKs2OzY8eVAFYnM7jeD6be11kSWR5tkA2pYzEkxVZjIvKDxP9pj08P6TRMdnY65DPqMwP5QMcx/t3d/j2j7YRRIE/85VFbi6UjhyjKRK7dYOu6aApEpOlFNtDeQW5vrquHwR879NdLMdjopTma2/PjBRwtHtOP/kxZKFfyDJAVcS4QyJc3IZ6EeQPqQcXEt/O5wbHC/iv39+g3rEYL6b48Xdmn5qEGK0/B8/Mk5021ZZFSpW5OhfloQzPwePlFPfXGyAAIRQzOrIkcG+tThCEWI4f58foqkzXcPivP9yka7osTef5yp0pgDjHxnF9bi2WePPqGGs7Hepti7Quc3U2irkNr12DWEnXdClkVJZnCkmBYULCC+TT1RofPaqhyhJfe2uayXN0doOzxxYUWWRjr4Pt+uTSKjcXR9f24RzDQkaJ5x+IcvhURTqxeGO72uWPPtohDALeuT5OPqvFtsuV2QKZlHKibe24Pn/88Ta2FzA/keXta2MXjpPqqkS3nyumqxK6psR+mGzqxa3TaV2m1jJxvQBNlZ6LAHXCyZy0p0t4fVFlkXrbYq+/jy5m1UtXwAEgEhWyh2FUOD/9mhSXnwdFFvjg4T6W7ZHPanzjnelXfUmvjJe2s8xms3z729/m61//+pHXvv3tb5PNXr4H6bJSyGosTudptC1SuvzCEw49P+Dx5kGl58P1Ju/enDj3ed67NUkYhLR6DovTuZeWKClLInMTOdZ328iSyMx4hu98uE2n5zBWjFqwjk3nubVUYqKUIZNSzm3InsRC32m1sdclm1KQJYl62yKTUpgeO92ZfO9Jg/V+y8udWo/v39tDkkTCEFwv6iLyzo2oem2r2os7RlSbJtmUcq42y2dlv2HGlcuDhNenOeYuM4IgcGuxxMZe9Ds873s97vu0HY/HfeWlfcfkh/f3+LG3Z/jy7SlWtlvkMypfvDPFdrXLJ49rQNTZpmO45LMqvh8wN55DEqOCq4cbTTb2O+iKRKNtY1gesihSzGnU2iZBGDJRTtMzPG4vldlrGIiCyJdun3+Mv8583p7dhISEs6HIEjcXS3z0KHJoJUUcCeeh1bXjNrpdL+DJTodr/ba9A9vs9lKFu2s1psaytLs2rhdQyim4XojrBsyNZ2Plasvx+O7HOxAKqIpEu2uzNJ1nrHB2m65nunHLdM8LWN1pc2ux/HxvPCEh4czcWChhWC47NYNKQeeNKxXWdlp8/+5eX/nR5T/98ROWZ/M8WG/SNR2qzb5zXpHo9BwESYxV8b7+1jSKFAVCs+kogXN+MocsijiuT6NjMzueYXnmfMVfCQkJz4eduonrR907e7aHafqIooAoQL1t0+5FCs67dYNcRo2Tib5yZxKESPlydizDynabzf0umiqdmoj4eKsVq8iu7rTJZ9Vjk5D2mya1VqTq3+zYbNd6zE28uP3w4nQeURSwHZ/xUmoksSQh4bNCIatzfa7Ak90Ora5NOiWTS6ns1Hr0TBdVFumZLv/1B5u8cWWM8VKKx5st5iaypHWFR5st3rk+zqONJrYTJTCvbLco5iK/n+X4fPhon0JW4yffm8OyvZFxnNZlbi6W2NzvIonCMynlJiQkJLwqlmcKPNlp4/oBk+X0hZKpV7bamFZkDz3Z6VDIascWmZ6EYUXCaQCuFyACU5U0huVRzGmx4u0335mNixy+fHvyqef9sbem6JkOOzWDuYksX33r5ESGL/UTY9s9h4WJHJ2hTouPNs4fj32w3mRls8WjzSZBAEEAfLjF/GT2WOGuZsfiB/f2gKgTyB99uM3P//jVc30mgOv5sQrn4RhmwqsjDEMebjTjhMO7q3Wix0DA9QIebzZ5+xxKqe/dmCAIQh6sNZifyFHK6WxXe+Qz6oniel3T4ff+ZD3uTvPvv71ybBFHEIaoioTmRUmdy7NFCjmNatNiopzm9lLkG9mp9fCDAFEUMCyXRtsimzrYczzcOOhy/GijSeHmRFzErqsy1+aL7NYNFElkYer1iRNemy/RNUd9SAmfDz56VGWnFsUZNve6fLpaO5eCcbNjs9MveOp4Dk92O1ybK44c86t/+V3aXYe17Q6FrMpf/umrdM0gEqACJBHyWRVZFJmfyvHtD7ao9/cf99caTFcyzE/m+O7HO3T6vo0PHlRJaTL1dpSj0u46bO53WTpUNDicx1JrWWTT6nPLxUlISBilazi8f3cPwsiu+86H2/zFnzy/XXcWgiCMizBUWcIfLPQczTFsBCFfe2OKhxstsikl8oWewh9+sBX7Sr794TZXZguostS3XVq8dW3sxPdu13qEYSTY2+o6dE3nwkUc1+aKPNnp4AUB05UMSzN5fvRwH1kSee8COZNnpZJPUSmm6PQcynmdXFLYmZAwgueFdAwHqb+/bfVeXGecF0mURywQhgIpXSYMw6e/6TVjvx7ZoJIoEvohtZbF8swrvqhXxEsr4vgLf+Ev8E//6T/F8zx+/ud/nrGxMarVKv/X//V/8S//5b/kb/yNv/GyLiUBmCynX9rmJghChueJYePrPKiyyNfffvkj1Q9CxospxvvqpbIkYfedN6IoMj+R4xvvzL6Q71OSRJZnCkiiEG+eITJan4bj+iN/W65PesjB6gUH5zh8vuHXTqNjOHQMh1xaPVP17uHznuU+LjtpXeHGMc7Ei9A1HNpD3/dx36fjjf6b3X8Obi6VuLlUOvLvAwRB4J0hh44fhOiqzNJ0nq7hUm2ZYLqxo1ZTJZanC0jCwTNVyGp84cZnq3hjwOfx2U1ISDgbb1yp8NGjGh8/rvKtry2+6stJuEScZn8NXkvrMreXKixO56m1LDb3unQMh1JeZW4iy3gpTavnUO9YkQhNCEEIxayGKArnLsA4ck1est4lJLxqDtvXrhfGNjmA6wfYjo/leFiOH++/MymVbEphdvwggVtXZb75heNb6X71zc+vuklCwuuC5wexWmqza6EoIpm0gsCQ1OvQsQNUVeab70Rju9W1MR0/Lt6QTumQ6Q+v+yEjc8uJx0GsIv2ikPu+sISEzzK+H3B9ocz1hTI/vL8XiabIYtwR2g9ACkM8P+yv7dG4G4zTwRwwMh7D6G9dk/jTX5rnT39pPn5pa/+g49bgfbm0mhRsJyQkXGoUWeTqoSTT8+IHh+2c8/lBDttPQcixhXHzk7lziUJJksR/9/XlMx2ryiI/1o+dOq7PD+/vx69dJB7r+f5B8QbRd+T7IUEAw6ZlrRV1j/XD0e9s0AnqvPhBGKsrw9njlAkvluDQPsHzAyRBRBIGf5/vGZNlka+9OU0xp9HuOiPnPQnH8fGDENv1ERD63USP4vkhpZxGqd8VJAhDvnR76oTjDuSSbdcbeX14Hhj4Wod1vks5/cROI6+az2qMNuF0DueEHM4BeBpnXQv/7t/4Kn4Qst8w8PwQ0+3Er6mKNLK3cLzD1xSNs8NrhGGPHnfcXHB4rT3vWp2QkHB2XC8YsccOj2WIfI89yyWf0UaKIM9LGMJE6SDHzhtZf0dzDD0/4Np8iWvzZ8u7Gj6X74eR70Q++tpx+EEYF2ID2Be0bSGaGwfifRDlU12k89+5EeDG0Hf1on25CQmXDd/3kSWRyUo0BwlCtOdQL1lHcFEUma5kCcIQWRbpGpevGMX1Q8YKB93ke5Z3ytGfbV5aL5hf+7Vf4y/8hb/AP//n/5xf/MVf5Cd/8if5xV/8Rf75P//n/NzP/Ry/9mu/9rIuJeEloyoS46WDAXfZVKrTunzQBlaIrv/tq5WoXRswVckwXnyxzpqJchql37pJVcQzdcm4Pl8k3a8IVlWJd66Nn/g7TJbTsYqzpkpxwcpptLo2n67W2djt8ulqnVbXfup7xosptP6iJ0tiopJwDto9h08Ofd/HfZ9XZgtxQY0sH6juHmZuPEelvxAKAnx5qFp9rJiKVavSukIpr1HIaCiySDmvI8sik6U0lcLn5/dMnt2EhISTeLOvaPVxv7tRQsJZKeZ0Mn0HpygKTA857oZts0JWZXEq6kKnKiLjxRSqIjE7nkNTRFa3W2zsdlnf7TJeSpHSZGRJZHEqhyQJ53II5jMq+WxkRwjC5bPbExI+DyxM5pibzCEIIEsC71wfQxQFBASEUIjs96yGJEYKsG9cOVlVKiEh4fXi9nIZVY72nTNjWSbKaSzHx3Q8bi2WkPqZUildppI/3g+VS6vkMwdr+cz4yXbA7Hgu9m2V8/qJHS/Giim0vjKeLJ/NJ5WQkHA6haxGNh2NuaXpAsWcRhiGiAJMFFNYjkfPdLm1WKRS1FFkialKmnR//zCw02cnsvE4HiumTlSHTMZxQkJCwvHMjh/Mo8WcFvtpzkompcTxw6fZXi8DVZFG5viL+HWWpguUChpjRR1VESnldW4ulpDlg5SC9d0OjzZarO922K+bB58pwJunKBufhq7KjBUvbyz5s4okCkyPHTzXi9P5gxiyAHMX/J2mKxlEMRp80Tg6Oc5eyusUsho906NruiNiFcNUCnrcSUeSRn2tw7yxXIn3VqWcxsLUaAH57MRo/FyRX1o6TULChbi1WIqTDlOadO5C7SNxirGTx/W9tTpPdjps7XexhpLsDnfrPGmcvXG1jBDn2KS5tVh86ridKKfjNUhTpJG1IiEh4flSyusH66AAb14dzTVqtC3urTWinKWVGl3z4gnDU2OZEV9necjXqcijNu15OwK/OdSN6vpCceSehtf543jr6lg8T42XUkxXLp//5HD+39gLzmdMSLhspFLqyL71CzcmLl0BB8DNxRKW62G7Phld5sb85RPG+uobU/F+K5dR+eKtz29RuhC+5F4qjx8/5rvf/S7NZpNischXvvIVrl59Me23njcffvghAG+99dYrvpLLiWl7CAKntjQOgjB22rxuGJaLLIlxS7eu4WA5PuW8dmwL4eeN7wfYro+mSHHb1qfheAHtbtRWcvC9G5aLJIlx4G6A5wc4ro+mykhn+A2e7LRHuoNMVdLHKgwduY8gxHY8VEWKDcfLxPvvv4+qqi99Hljf7bBd7cV/T1bSLE7lj/0+PS+geeh3P44gCKi3LdK6TFpXsV0f3w+OTdwwLBdBEAjDcOQZfJbfMwxDhBMUc87yXuDC778Il/3ZTXh+vKp5IOH1xLQ9funX/x+CEP7Fb/zZuEAu4bPP85gLgiDEcjwUWToSEPT8AMv2SOkKohA9a4EfYLk+uiIhSiK1lsl21YjX1PFSimI2Sh7QVOnC67NpeyN2b0JCwvG8KpvA9wP2m2ak2K0r/PD+Pna/E4eqiNxcKuMHIZV8irR+OfffCQmXhec9D1iOR9dw0BSZT1frbFW7aLLMeDnFF26M47g+uiqfOnYHa7kiiyj9opCTxrvj+rhe8NSExcF++Dw+qYSEzxMXmQsO9gIirhfS6lis7bQB6JguhPAT784hipEapq7KWI53xK97mj9vmMs0jhMbJeEykvgLLy+O6+P5ASlNvlC84Tg/yquex84Sjz0Nx/XpGg6OF9megwT7wX19+LCKaR8k795cLOH5AZoike2LjF2Uk2KYl4HP8jxg9X/vQcHo8/idXC/A9Z6+v7Fdnw/u71Nt9JAkkXIhxZfvHO2wAQf21dN8ooblYVgOxaw+UqA0wHI8wpA4uTwh4Ty8irnAcTzahkM+q6Me80w/LSZ/WpxigOcHfP/u3si/3V4uo0gCunZcbsHx4yzKsfEo53VEUTzTuI3zZM6Yx5KQ8Kp5FfPA4fyZZ7FHay0TRZHIH7LrVrZa7DfM+O/ZiewzFd4OctROsgWexaZtdW2Coa4a57FdDs9Tl5Hz5v8lPH8+y3uDzwrb+1FXsenx8xWKvS58cH+f3XoPw/aYKOq8dX0iFv2+THRNh0bbYqyUIXUJi2mexlnrDV76zvPKlStcuXLlZX9swmvAaY6OIAh5uNGk2bHRNYkbC6ULOxdfFMOBsI7h8OBJEy8IMO3MudogXxRJEkmfM8CmyiJjxdHK4JMCerIknivJ73CA/6wKRZIoPDWomHCUw8lXg9aEx32f8jG/+3GI4uhxmiLBCZuWk36zi/6e29Ue63sdREHg6lzhXK2HG22LR5stwjBkfjL3cloOkjy7CQkJx5PSZBam8qxut7n/pMHX30qKOBLOjnjC2uJ6PnfXGpiWRz6jcn2hFB837A41bY+NvQ6G5aGpEnOT2ZE2vxdBEJL1LiHhdUeSoq489540eGy47DYMJkopUrpCSpOZOUUxD6K54/5aA9v1KRd0rs4WXmpxdEJCwsnoqoyuyvh+gCyL8XjOppQz+22G1/Ku6XL/SQPPD5gsR2IQA1pdm4cbTfwgZGYsc6qqXbIfTkh4/gzvBRQZdDXDbsPAcQNyKZV6x+KDB/ukdZmbi+UT9w6n+fOGuQzj2LCiOctxA8ZLKZZnLp+CXEJCwuVDVaRnErEYtr0c1+fek74/J6tyY770Soo5njXxXFUkykNCNcMx3JQmo8giph29JooCKU1+bkIgr/ta9XnlcLev5/E7RUXnT9/fKJLI1n6HB+tNBEHgC9fHTzz2JHvpMJG43cnj5HXLUUhIeBqqKjN2wnO7vtthu9ZDFkWuzRfj7p3DnGXsyJKIpkrYjg+AYbvcXa0jCAJXZgsjKvpw8jjLptWRgr+zfPZF8mQSEj5P7NYNnuy04/HY6trsN0xUReTGUHzxrJwkWJjRFfYxR/5+Fp7m63wWm7bQF7wbcJ7v4PA8dRk5b/5fQsLnjU9Xa3z/7h6iKPDl25Ncmy+96ks6N4OOhsVc1NFMv6QFENmUSjZ1uefc58GlnrFXV1f5pV/6Jb71rW/xl//yX+bhw4fHHnfv3j1++Zd/mZ/92Z/lW9/6Fv/hP/yHl3ylCU+j3rZodiKPn2X7bO51X/EVnc7qdhvPDyCMktEN6+Jt4i4rlUKKpZk8lYLe//8kafVFUilEgcvPwvftuD7rux0II+f/ylb7XO9f2WoTBCFhCE92O7he8IKuNCEhIeFs3FyMNnX31hqv+EoSPitsVXuY/Xbk7Z7DfsM49jjHDchnVHJphXxGw0vWxISEzw27dYOuEe1DxwopBGCinI7XpNNY3+1gu1HAtd462IsnJCS8PkiSyO2lMuOlFJOVNNfmixc6z9p2O7IPQtitGXQNJ35tdbuN74cQwtZ+L1bXTUhIeDWIosCtxWjcy7IYd9gzLI/t6uvtK39ePNnt4LjRnma/YdLqJjZKQkLC5WLEn9N12G+aT3nH5aDaMuN9o2l7yLLI9FiGsWKKW4ulpJNrwgvFcnxaPQddk9E1mb3m8X7ShISEo5i2x3a1B2Gkyr663Xqm893q+ykqBR1VlgjjWP+znTchIeHieH7A2k47Ho8fParG3TIcN+DJbue5fdZEOc3idJQjdnWuQDGnPf1NCQkJCa8Zjhfw/t09whB8P+RPPt0lCC5fjsXyTD7el99cLMdd2RMuJy9URuD27dv89m//Nm+//Ta3bt06VdlREAQ++eSTc53/N37jN/irf/Wv8gu/8Av8+3//7/n1X/91fvu3f3vkGNM0+dVf/VX+t//tf+NLX/oSnufRbp8vYfjzym7dwLI9ygX91HY7QRCyU+/h9hWyzlLBGgQBHz+u0TVcrswVEQWBnuXSM11UWaJceDYF4bPguD47tR6CIDA9ljlfFWp46M8w6g7Q7jlk08ozJ9j7QchOrRcpJZbSRxROLordv2dJFJiuZJCesfJ2opRmovT0jg8JzwdJiubQT1fqPN5scX2+iCgKtLsOmZTCWPHoc+d6Pjs1g57posgi2bRKOa+xUzMIw5CpSuaFONjDMGSvYZ5pDjk8nk6i0bFodx1aPfugqj88xwkSEhISXhC3Fkv87nfWuJsUcSQ8L0LY3O/SaFnYbhRouTYfda6aqmRiFceQENOOAplhOLoiDtvby7OFl9a5KiEh4eycy2YmCrzuNQxkUWBtp8PDjSaFrEYupZBJKWRTyom2vWF5fPS4CoAmizQ6Fq4XkE1fTC2ra7rUmiaaKjFZTiedPBISnhPVpknPdClkNYo5bUSFfq9uYNoexZx2RE1umP2GwcP1JumUAoeG5k6tx/7DKtmMShiO7qXPurN2vYCdWg+AqUr6uQQHDMtlv2miSOKIrfOieJ4+vISE58F2tcfGfoeMrpDPqOw1erQ6LpWCiukGmJZLCOf2Ez+T//sMhGHIbt3AdnwqxVTcOfis2K7P7tD1HedzT0hISHiRtHsOjbZFSpOZKJ8t1lVrmXQNl3xGPdIN9Yh91f97sJdTJJHJSgbpjLZOGIZs7nfZ3OtSzGoIokCtaTJeSsVKoefdV57GXsPAtI6xNw/Nx6IgMD95che3hM8nHcOh3rLO5CcY2BCm7eH7IYosMlZMkTnBlpBEkVIuGm/Hnfc8n/00PD9gu9q7cAx1dbvF9n4Py/XQFZnJSoYrs0l3sYSXi+V47NYNXNfHDwIkMdoHPKt9rSkSyzMFPl2t8XCjSSmrMVnJxOfdqxs0Ojae71PK6SeueYMxq2syE6XUiWN2kOcAMFXJnKl7zzBBP+fG9QPGi2fLY4ID30w+q8ZzT0LCa83Q2D4yzsNIVLlzgh/M9wO2az2CIGSykom6fZ7CZDnN5Bnt5sM0Ozatrk1aVxgvnc8fdzge8cP7+zzZaTM3meWLt6YudD0DPgtjvtW14655Z93XJCR8nmkbDvdW6gC8sTz2iq/mYrhuwHc+2sawXL7x9syl7CaScMALLeL41V/9VSYnJ+P/fp5B/VqtxieffMI/+2f/DIBvfetb/OZv/iYbGxvMzc3Fx/3f//f/zRe+8AW+9KUvASDLMuVy+cKfG4YhhvHZV3jYrvXY2o/uc30Hbi+VTmxVtrbTodq0ANjca/LGcvmpG6j37+7xcCMqpnmwXuPH3pxkt9bBtDxkSWR+Qn+h33MYhny80ojbPVYbHW4uFM/8/vGCzKNNgyAIGS/qtDs9Hm4cKAwsz+SOtIw8Dw83WrS6kTri9l6LN5ZLz1xwEQQhH63UcftqZtVGhxsXVHJMePk02hYP15t89DiqnC/nde6t1VmeKcRtfcOQI5udu2sNmm2Ltd0OmiKxOJXn7qoXj+dGx+bta2PPPelqq9qLO+rsNQzeuFKJHSOqIjEznmFrv4cgwOL00539ra7NgydNIKqE7RgOubTK3EQ2qSZNSEh45dxcjGzLhxtNfD945jU7IaHTc3i82WJzv4Pt+OzUTR5tNvnqG1NYjh8H/mzH58F6A9cL2JcMbgzZs9+7u8f9fmHR6k6bn/36EsVL6nxMSPiscprNfBjPD/h0pY7nB2xVezzZbuEGIes7HcoFnXeuj/N4s0UQhscW2v/e954cdL90PDIpBd8P8fwA7Zwtdi3H4+5qnSCIIkK267M4lT/XORISEo6y1zBY7Xeq3K0b3Foqk89ESXjb1V7U0RLYbRi8sVw5NsGpbTj8pz95EnXYAKbHMhRzGr4foioi3/14Jw7mzk1kyabVfpA2faLf7zD31uoYfYXpZsfmrWvPFuRwPZ9PV+vxNQ/bOi+CRsfiwXoTgN0oTpMUciS8Urb2u3zv7i7troPnB+w1TMaLOtvVHitbUMrpNHWFEKi1LN6+NnamYowgCPl0tR77v7uGy+3li8dFjmN9txMnVe03Td68UjlzkUkQhNxdqcfdwXqmy9xkjvtrDTw/oJzXKWQvnoickJCQ8DR6psvdtXqc9OYHYVRQdgq1lsmjfixwt25wY6E0okA8M56l3XOwHZ9sWmG8mIr2cqv1uHuqYXtcmyue6Ro39rp856NtbMen03PoGg7T41kebUbXcG2+dK595Wns1Ho82TmwN+8slcn2C0IqxRS1lkXHcNAUiZmnfE8Jnz9MO/ITDPYanh8wN3Fy7G9zv8vWfo+9hkGra7M4lWe/afLWtbEjyaNpXeaNKxU+flxDEOCLtyZHXjcsd+Sz/SBkdjx74Xu5/6QRdz49bwx1fbfDH/5wi0bHYn23y+x4hkohhSAwUqCfkPAi8YOQu6v1uMOd4/qkNBFRFJ6L/+7heoP3P92jZ7psV3tIksBX3phmq9plbbvN6lYbPwhZmModu+YdGbN+wMwJY/buagOz3zW01bV58+r5/A8rWy1qrSiPqda0eOva2FPzmPYbZtxZZLducHOxdKqQRkLCq0aWROYms2zsdhEEuLNcptV1qLctZEkkm1Z4eIof7MFGk3Y/N63Rjvx8L0Jcpd1zuP/kQAwx5Pg4xnFY9mg84sOHVb5/bw+I8qFEQeTdmxMXuq7D/tjLOOZ7psu9J41z7WsSEj7PqLLIxw+rNPox049Xqoji5cvv+Rf/z8c87s9fD580+f/89S9SLia5IJeVF1rE8bf+1t+K//t//p//5+d67u3tbSYmJpDl6BYEQWB6eprt7e2RIo6HDx+iaRq/8iu/ws7ODjdv3uTv/J2/c+FCDtd1+fTTT5/LPbzObFRtetZBqyCns0Mhc/zjsrJr4bgH5bxed4eMfnoSyMcPunQMP/77T/wmYSigBCFCAJ/ea9OpqWdWozmNIAjxghBFEmIni+uHPN62Dg4SIOgdGKp+EGA5AboqxsoEh1HDkDCEXkNgddWl2nEJAhBF6DQUJosXUzQFeLhlYTo+YQCaKuIbO+jKyQuG54eEgCKd/H05XsDKzkELelEEv5sEqS8LXTNyGLZ70f87ro/nBfRMNy7i6JoOKU1CEAQkSUAUBEzLw3J8wiCkZ7q4rk+tZcbOU9vx8fzgTIUQQRDieD6qLB3ZuPl+gOsH8bV0DCd+LQyhZ3ojgYO5iRzTlQyCIOAFIa1u1F1DPsFxMny+fEalUtBZms4nidIJCQmvBbPjWTK6TM/yWNvpJMpaCafiOB6m45NLKyc6BJpdm4lSiv2GgSAI2K5H1xBodOw4gA5R8sBYIYXleGiKTL1j47g+giBQbZrxcb4fUm2ZSRFHQsJrxmGb2bC8E5NtLNvD86M9ertnY/c7YTYEC6Vv+wNUGwZpTR6ZKzwviAs4INpb3FwsIksSkihi2id/7nGYlhfvDSRRiJMbEl5f/CDE9Xw0RUq6prwGeF5Az3KP7IEPj6Wu4aCr0W82PF8QRsG54SKOwZ681jTiYgiIkiP+9BfnCcKQx5utETU+2/X5ynIZ2/WfqjJ3MObFuIAD6CvnPlsRs2n7+H6I6wWRT234Xl8AR79nNyniSHglBEFAx3CptS0M08XzAwzLxbKjdTaXVvH8MCrECkIsxyftBbS6DoWs+tRCDsvx6BpRZ17XC2h2I1vgLPuRszLwV0b3E2LY3pmLOFw/iAs4IBr72ZTCuzfH8YPwuXcNSUhISDhMz3RHVIs7hsM0pyc7dQ7ZER3DGSni0BSJt6+NRXEbTUaSRLqmGxdwQGTjDTgcVxkmCEL2GwaW7UX2oOlgOT5BECKKAnsNk2vzJTqGgx8E+EGIIkW2WnSMSFp/+pzc6tpoqjRqI4XRHD/YV0qiwO3lMp4fIIlCsqe4xJwW53sW6m0LzwvwwzDyE5in+wkGz5tpe4RhVMgtSQKtjn2sevS7Nyd4Y7kMooja30O1DQdVjp553w+wHA9Vlp95PzF87bbj43rBmbtx7Pf9sb3+OXpWtNfYb5pJEUfCS8Nx/biAAyCbVrm1VEaRxHN3lhlgWA5BEJ1rr2EShCEpTSatKYyX0owVU9x/0sBxffzgQKChe8x4rLctepZLWot8GieNWc8P4gKO6Bq8eA08K8Pj2evPE4p8eqF4o23h+UG8H+n2u6W+boRhiO36KJKY5EskMDOWZbKUBkFAEgXGS+nYbtvY6xKGYfxcd81RP1inFwlKDHyGjueP2KYD30VKV+I1+CJ0zdGx3jVcJs4oGm/0/Y/RPYms7bRHXt/Y65yriGP4ng77CXuvcMxf1E7rXmBfk5DweabaMghCSPd9mI4XYBgu6fTF83xfBbt1gyAI4gK39f32pSziSOKXES+0iONFc/iHO9ymFsDzPP7wD/+Q3/md32FiYoJ//I//Mf/wH/5D/vf//X+/0GcqisK1a9cu9N7LRKlusLnXA6Jk/9uLpRMDMNlyl71G5JSQJIE3l8snJmIPsKUq9/qq+pIk8PV3ptnY7xGGsFM3UFQJR9a4MpMfcYCeF8v2uL/ewvMCFE3i+kIRWRIJwxAp08Cyo0BRLqPEXSm6hsPvvb+JaftkUgo/9cXZpzo6J9sW/+UHW/huALLAnZvTz9SibN/e4vH9KmEA02Mp3nnz2olG2m7dYKP/W42Pp5muHG+MBUF0zwP1tUJW5dpc4jA6L6+qiCufUdmu9ijlNHZqHpoioWsSueyBEfF4q8Uf/HCTWstifjLHldkCkiSgqxK1tk0YhqztdpgY6taR0uUzBUUHypiWHS2ct5bLsRrOoGo+CEIKWZUbCyUKGS2u2BdFgdwxxo4kiTQ7Fv/xj59gOz65tMq3vr54bMAin9HYqvbizUcxpyUOiYSEhNcGURS4vlDih/f3ubdWT4o4Ek5kt27w+++v43kBlUKKP/OVhWPt5qlKmtXtNtm0Sqtn02zb7HsGXdPhZ768ANfHgUiV9+F6E8v1UWSB6fGohTAC6EPK+pIkMF5M2ucmJLxuHLaZs8eo6g/QNTlOwkypMj3LZX/FoN62okJC06NU1LFsj/S9fW4tlfjS7aiNuCyLlAs69b7y3FhBR1OU+HMz51RpTesy29UuHcNFEAS+eOtiKlcJL4dI4TBSNc+mFW4ulp+LYEbCxegaDv/hj59gmC7plMKf/cpCnBxXyKoHRZhCVNS5sdcFAbJD41QQIDu0x+4Y0Z7c90NkWUSWxLjoa7KSQRQFRAQmSikkSYiLPHw/4P/3Xx4ShrA0neebX5g99ppdL+Duah3T9lAVEVUR44SQTEp55r15SpPZaxo02zYI8PYzdvZ4GgP/yvDfCQkvG88L+L33n7BXN2n1bAzTJQhBlgTSKRlZltDUkJwikUkptHtRUdde3cAPIjGW6/PFExMLGh2LB08abO53afdsdFUmk5K5t1bj+/f28f2Q8VKKn/7S8fuRs5LPqHHCgygKx3YIOglFEtE1KfbPD8aiIAjIpwgVJSQkJDwvsmkFQSBOWDuLTVDIqOzVjfjvw+8Jw5CHG00abRtRFLg2VySXVuK9XPSeaO5udW0erDcJgqhg7/p8MY57267P3ZU6u3WDZtcmn9HIZ1RE0Y1jhVP9WKAsiaxstQmCkLSu4Hg+a9sdEOC9mxPcWa4cey9BEPB739tgpxapqN9ZPBA/FATIpY9+H0mB3eXGsj3urkXq/ClN5vZy+Zl/0zAMebDeZLfW4wf398noCildZrx4epF0PqPS7jnRM+tGSZmr222CINrfXD2mW406FDv8/ffX2dyLFMffvTnODx9UaXVtJEnkW19deKZ7ymfU2FeT6vtizspkOc0nKzWyKZV62473cSfF7hMSXgSaIqGpUpwT0uk5fPwo6mRzda5IOX++5L4PH1X54ME+hHBrqUS5oLP3IyMqHpRFxvt5B/mMSq0lIUkCQRAVeRzer6xut/gv72+w1zAo53XevjYer4uHkaWoGHEgJJFNK+cuPstnVPadyM8iy+JTO5Bu7ndZ3+uwXe0xXkpRyuvHroevmiAIuf+kQbvnIEkCNxdKI4I+CZ9PDvvnBmt8SpNZ3W7jegGKLLI0M9qRxw9CHm+1IIxik+qQ+KvjBfynP16j3rJQZYk//aU5xs/YPeMw+bQKAnG+z3n8cSlNZrvWo2u4iILAzHgm7rIDsDh99i5DjhfwH7+zSqNjo8oS794c8kMKkHtFfkLH9eNuqpoqcXupfObCu9wF9jUJCZ9nxgppHMePBW8qBe3SFXAAKIrEVi3Ko8zoyrnmwtcFw3K5u9bA8wLSusztpfLnNhf0pRVx/JN/8k/Y3d3l7//9v3/ktd/8zd9kZmaGv/k3/+aZzzc9Pc3Ozg6e5yHLMmEYsrOzw/T09MhxMzMzfPWrX2VyMmqt+fM///P8j//j/3jh+xAEgXT6s58AdSWdppDLYFge5bx+agDmxlKKUsHE8XzGCqkzqW392BcWqBRztA2bK7MFKoUUY5UCm3sdbO/AiVnteMxMnrH89hh2my1ESUGTIAAMR2CqEv1+X7iZYq9hIAoCE+V0nMTw4eMWXiCiKCKOB0/2Ld57StVusxcwN1HAsCK1MUFWn+k56Rg+pXyKIABBVHADiVL26IY6DEP22200Lfq+am2fpdnUiQkZ797S2WuYiILAZDn9QtrgJbwYClmNm4slpioptqsGkiRwfb6EIAi0ujaiIPD7769jWh6O67Oy2WJhMkchq6KrEsvTOSQxCo7Ojmcp5DQIYbyUPlMl417DjIOqtuuzU+vFLVc397pxZWer69DqOkyPZVDkSNW3nNdPnBc+WakfOJEMh3trDd7pJ6YOk8+o3Fwo0e45ZNPKU1VCExISEl42NxejIo67aw1+9seWX/XlJLymfPhwP1ZfrLVMVrdbXJs/autemy8hSSLX5wusbLd5/+4uqqyjKTKPNlrxce2ew9RYhq7poCsSO1WDYlaHMLKnZ8cie3t5Jv9aqkUlJHzeOavNDFHQ5fZymWrTxAsitfpvf7hNWlcp5lQaXRvL9ZkdzwJwd7XBm1fH4gLpn/nSPJ+s1glDuL1cpmu4mLZHpXD65x6HafuUCykUWUKRRYJjBDUSXh8297txQn/XcKm3rDjAnvDy+XS1jtFXgjRMl09X63z5TlRwVSmkEIVItVZXZVa2+mt+X5n26lzkdyrl9ZHuOZv73bgww/MCvvrmJNWmFRXtLBzYGcWczp/5ygIrW20KWY2PHlbj4N7qdpvby+VjO1LsN4xY/dJxA8aKejy3PIuAyQDb8ShmNERBQBbFEeW4F8HAv9LuOeTS6jOJxyQkXJSN/Q579SiZyPNCJElkfiyLpkncWSzTMR1SmsJUOUXP8nC9ANfzqck2kigSBCEbe90TbfyN3S4gMFbQqTVNxosKk+UMf/jDbbR+sfd+w2R9r/NMqtBzEzlUJUoQqxT0WPDlLIiiwO2lyoh/PiEhIeFlktYVbi9XaLQt0rp8ps5cpbzOjYWo+0U+ox6ZhzuGS6MdJYJEc3WHN6+OcedKhf2GgSyJTPQT3zb3D+IqzY5Nu+fE59ut9bBdP7YPAa7NF5FFgb2myXgpxdJ0If6ciVIKxw1QZYG7q40oSTWEDx7sn1jEsV0z2KlFha2+H7K+3+Xrb01H9mZOO1dhXsLlYKduxMXYpu2x3zCZHnu24oJ2z6HZsbHdqMtXEMJEKRUr8Z/EzHgWVZGYHksThPDgSZO5iRyKLFJrWUxW3BOFLnZqPTb3ukCUrPjtH+2gKiLZtIoiCezWDd56hnu6Pl9itx4JT06cMYY6YHY8y5/+4jxb+12+eGscWZaYqmSYn8w9wxUlJJyPyM4us980cVyf3Xo0HsMQ1nc75yriCIKAH/ULOCDyN371zSluLpZp92xKOT1O+J6qRH7OyXIGz/fJZ7R4zRvwwf0qsiQyVkxh2T7ZtHLqPHRrqRwVTwpEXQbOydJ0nrSu4Ho+Y8XUqYVrvh+wudcll1YRxgUsx+PmQum1TIZudiO7AaI1fGO/y62hYsyEhGEsx2OinMawPFKaPNKpB6KOa2OFFGEYFQR7foAqRuN6dasVC0M5ns+Hj6r81JcuViyZTavcXirT7NhkUwqlc8xFluNRyesosoQqi8xP5liaLrC23WZxOn+ivXscKxstGv2u5Y7ns77X5d0bE3HXnVdVuLVbN+K8Kdvx2a0bZ7YfLrKvSUj4PNOzPApZBdcPEIBcSonzzy8TuZTMeEHH9ULGSikabTvKE7lEbFd7ce6MYXlUWxaTn1Mf8Ut7+v7tv/23/Pf//X9/7Gu3bt3iX/2rf3WuIo5KpcKdO3f4P//P/5Nf+IVf4Hd/93eZnZ1lbm5u5Lif/dmf5d/8m39Dt9slm83yB3/wB9y8efOZ7uXzQqWQonKGGI5wwSDLzaXRhLVsSmF+Mkere9BGTXzGNjmH3z9ctKDIYpzgAlGF8eZeh516FJweVOJLokDHcNip9ZAlMTaU1nc7eH7AZDlSNUzrShxEH/5cx/XZ2Oviej5h/7WJUvrUILEkS2RTKmEY0jEcVnfahDCyqe4YDtvVLnv1SKlAlkQEISpePkyjY7HfMNFUibmJ3DOpbgZByOZ+F9P2GCumzq3WkHBxClmNQlZjYepgYO71n1dVisrWB4+eIEaJFoblsjCdZ3osSxCG1FoWW9UeE+X0iPE+eE6DIGR6LEO759DoWBhWtFk5PBQHz/inqzXev7uHJAksz+QRBTEeZ2NPUdppdmx2az1aXZtcWkUUhVOdJ4P7T0hISHgdGThI7601XvGVJLzOSOLoOnecksDadpsH602yaYW3rlTww5CPH9XQtah71rBSriwJ5DMq+YyKH4T4YcB2tYcgREmVKV1CELUjnzug0bbYb5roqsR4Kc12tUcQhMyMZ/rBjYCNvQ6tno1A9Fnzk7lEeTEh4Tlyks28Xe3FiUEDhVVdlRkvpfnPf/KEzWoPgajrjiKLpDQlVmby/YBGx+J3v7OGpkhcmy+SS6n9PascdfUrXtwdJIpCpOrXv/aTxAFaXZvduoGmSMxNZD+36imvmqN+kVd0IQnAUfXi4b/DMMS0PUzbQxCiAGW9bSGKAlPlSGjFtD3SjnckoWm/YeB4AYWMys3FEsszRQA8P2B9u43t+kyW04wVo/8BfLpSHznHsK9o2EcgHVLED4IQo1/U4XnBM9sFoiigKhJjfR/F4bnirD4t14uu2fMDpseyp3Y3SvwLCa8auT8Z9yyXds8mCEJ6WQc/lNE1mZtLZXbrBrW2TTatsDCVp2s4tHtufI6T/OZb1W5U3BWEmJaL6wdkUpFqrSyPvues49fzg9i/PVnOjCQyHU7MOg+H/fOHaXZs9hoGHcMhoysUc1psFyUkJCQ8D7Ip5VSb4TiKOe3E+J4gRKIdluOTSSlx97RoTxTFFnfrBq2uTb1tjSgdD++rRFFgZatFq+tQzGt8850ZZsai+XLxUPGdKAixMJ7j+SOxHEk4eZ53XJ9620IQIiEQSRTPHBeGSDFzaz/yQcmSwKPNFqoi8d7NSdL6wX7Tdn02djuEIbG/KeHVcNiMfh5Cf4NziKKAIkukdZl8RkMUBfb6nWSyqShJWxAidf6tajcWkZyfjMTiOj0Hw/Lw/IBq0ySlSSzPFuPxOXjeRFEY6T5sOR4dw0GRpahbjSAgieKxn/00DMvh+3f3cTyfN66MUciorO20AZgbz55ZAGN2PHuqfZOQ8CI47EdUFYnpSoaVzRY71R7ZtNrv6HQwFk7baw/7BPwgjPceggBSXyx0spwmDEP2miZd06WYi4o2TkseFvpdR4MgJKPLTDxFZESWRGb648mwXLa22oiiwNxE9kwK9UL/WiHyGaxstdhvmKhKVEgyO549mB8EIVayz6aUOO7yOnLE1/eMOVUJl59ay+RHD6qIIrx7azLqetFn0Il70I378PovS+JBzpfAyJp52Gdw3jyzjd0O99cb6KrMe7cmYr+nJAoUw/DMhZKiIOD6AY7rE4YhIXBnuXKu4o34Hg4t55IoUMrrJxaVWLbHxn5UPHqcPXARm+PY6xIFGm0rzlWcmzifLXGRfU1CwucVCQhC4vnkSELkJUEQRYIQECDwg3N1EHx9CHmw0aBneowV9GcSG7rsvLQijq2tLZaWlo59bWFhgY2NjXOf8x/+w3/I3/27f5f/4//4P8hkMvyjf/SPAPj1X/91fuqnfoqf/umfZmZmhl/5lV/hr/21v4YkSUxOTvKbv/mbz3IrCS+QtK4wN5Flq9pDkcRnHpwz41l6lotheRSzWhwQPo713Q57dYNKQWO71iUIAmbGs1ybL/LpSj1WxBm0PG72q3NbXYc3rlQo5pw4GX1YMeD+kwaG5bFd7WLYHldmCrS6Nm9dHTvR4fP1N6f49o+22GuYjBVTuG7Aw40mbyxXyKQitYB7a42oPbImU22azE5kWZrOHzG6DcvlwXozVkgIgvCZvtf1vQ67tahddLNrc2e5khiDr4hG22J1ux3/fWW2yJOdDkEYktFVTNunlNOpNk2yaYW17TaG6VLMqjzaiBzqg0ryB+tNen010LWdNhldYbvao2e5TFXS5DMa2bSCYXnxBmR1u8X7n+7hegF7dQtJFPnqm1NncmhYtseD9Qbj5TQ7NYO2YXNrsTKiEpqQkJBwmbjRn78297t0DOe1bLGc8Or54p1Juu87dE2X+YncEZus2bH4ww82I1XsGqxstrg6V2RuIs/qTouZsSx/9qsHKje3lyrs1k1261F7b0kUqLWiAPxA0RYim+3NK5WRQLlhuTzYaMY24oP1ZvzctnsO79wY59FGk3rbYmWrjSDA8kwe1wvi5z0hIeHFsNcwWN/tANG+U5HFOAD6H7+7xuZ+j67h4Hg+paxCJqXy1rUKcxNZfvSwxnbVRBDg7modURTYbfQoZXWmKhmaHbvfcvziCQVRQDjNXsNEU6S4Q98wluNx/0kjVvl3/YBrc8ULf2bCxZmfzGE5ftzxJRFieLW8sVxmr2FQ7Ssov7F8oJS4WzfY6CvK1lomja6FYXqIokCtZcbHNTv2yH5eQMCwPBwvctQPO+tXt9rU25FiXqtr89a1gw49X31ziv/2wSaOF3BnuUJxqOPlsI9AFAXyWZVOv3NFu+fg9Tt/dA2HL9w4vXvt00jrCrMTWbarPRRZZGmo7bdpe2f2aT1cb9ExImGYds/hnevjSeFpwmvL3GSO6bEM37+7hyCA7Qds7PUo5zWe7HbQVIknOwe2gCgITFUyTI9l2K0bqIrI4vRRRcbdusHGbpe0LvPD+/ukNYXxYopqy2KsmOLPfGWBP/lkD8N2WZrKn1nV8fFma8QX/va1sTMlTT0LA99hsxMVhQ4S0gbKvQkJCQmvI13DJQwjBUnH9XnrytjI6/W2xVo/phOGYNoumZTKRCk14ktsdm22az0c18e0Xbo9B0ZPFTM3mcV0PGwn6sw4Xkjzgwd7iKLA19+cPvY9nh9Qb1tUCjpb+z1U2ePLd85u0wVByN21Bp4XYDsu79/bj+OvhuXyZ7+6FB97/0kD04oKgNuGwxeujz+X4oGE8zMznqVnevQsl3xGZfw5rKe59MA/IOB6Abm0SkqXyaaVOH7Z7NhRYXolw1a1y9Z+L/53VYmKL5ZmCjxab7K530VXJUzb595anXeujyMIQvy8AaR1mTtXKnz0qErP8njzyljkk+85zE3mWJ4rHPvZT+O/fH8zVhvfa5hcmckB/cJbw+WdG+PP/H0lJLwI9urH+xE397vU2ha6JrNbN8joMsv9/fbT8keGfQLjxRStfteH925OsDCdx/ECOoaD6weElofj+NGYlqVThUwny2lWtlo4bsBEOR0XIT4Nf2jdGVz/m1dPWBhP4NFGi+1+Jx9RHIhTHvhIJVHgymw0fwhEr180GftFU8xpTJTTVJtREc7CVNLt5/OM5wX85++t4/S7ODS7Dn/xJ67Gr0+WM3R6TtSRNqMydUig+cpsgcebLYIwZH4yN+JXXJrOsbWfZ32vQzal8O6tyTNfV9tw+IMPNuPuwdWWyVQ5Wo+bHRtBEM7cEUyRRQzbw7A8FFl8pnzrKzMFtvZ7bO5HnXe++JR7urfWwHaj7/awPTCcr3Uem+M4RFGIchttjyAME3s5IeEFIsvg+SFOf2x7fnjpunBAJPJu2h5BEGJpMukzFp2/TtTbNns1E9cPsGwP03aBz6ff96X9erIsU6/Xj32tVqtdyAC+cuUKv/3bv33k33/rt35r5O+/9Jf+En/pL/2lc58/4elUmwZ+wHNtZTMznn1qQonnB3G7N0UWCcOQnunGHTEgCvS4fsCtxfKZDByz35re9+EL1ya4vlCkUkjRNRx8P8B0PCRRjJ2NA4IgxPMDrswW+tckjQSJzb46oeMF+H6I54cogoDl+CcWcUyPZfnFn7rB3dU6tVZUbaspEpbjkUkp2G4QF5Vk0yqlvM67N493sFqOH2/AIXIePwuD+wEgjL7npIjj+REEIT3LRZHEp6q6DP8WjudTzGr8uW8sI0sCT3Y6cRtNwsjB4rg+PTPa2LS7Nus7be5cGcP1fGots7/hEWh0LASINyN2v6XiwlR+5LceBG8VWWSinGaynBpJ4LJdH8f1SevKkap80/EIQ1BliS/ejpSZzutsSUhISHidyGeiIs7tao8H603eO2FdTvh8k0+r/PyPXz3x9e1aD9vxURUJ1/PYbtnMT+V49+Y4794cZ2kqR6PnsF830HWZbErhZ74SFXVYjsePHlQp9RMw1/c6BycOI7thuIhjYGOm+omcre5B8ZHnB7iej2FH9nEYhoRh5Aw+bAsPsJzo2IyuJM7FhIRnZGTPRbSHG6ih1loWhCEpTUKVdX7i3Tm+/vYMnh+QTSksTOb5zkfbPHjSpGOYSKJA13DJaCpBENDsOkj9Lj7D++fzsjCVZ+GY4o0BtuPHBRzH3VPCy0NVJN64cn5VsoQXg6rK/NSXFmJVNUUW6ZouohCNdcvx6JkuqiohCyKVgo4kiximO3Ie0/LiddsPAhYPFT4Mxvbw2AvDaGwOijimKhl+8aduHHudhnXweUEQsjSdR1dl/CDk/U9349ccN8D3g2futHOSWq1le0d8WgN/X0ZXCPvXqirSyL36/SDMsH/OsFyCvqJmQsLLxPcDepaHKEQqb7bt4YchtxZL5NIqm3tdHm81UWQJTZHYrUUF2sMMnu/5ydyphReDsaurMuVCVLg3SKq9vVxBUyT+4k9G7w/DkK7hnMkeMO0oGdkLAnRVxnb9CxVxHPj0JRT59PcPfIcH/kk/vpaEhISEF0Wra2NYLuPF9Egn1AFx/EYWY5vKsFyCICSlyew3DQpZjbFiikbHZHW7SaWgo/Y7BwzbWJoiMV7KHlug2uk68fzt+QHbdYOr86Vj1Y91VeatQ7GVm0uni284ro/vh1yfL3F9vtQvkDt7nNfzg4NEWjuIkwYh6qgwzPC87XkBnh+gii+2EDDheGRJ5PZQEfnzYuAf8IMwts2rTXPkmMFzcHgdN22PfEYlm1J458Y4XhDEyZ6NlsXmXoepsWz8vA3e8+U7UyxP57n/pIHl+FyfL1LM6bxxpcJmXy378GcPczh+2WhbbO13UWURURRxXJ+u4ZHt77ls18cPwmPHoOMF1JoGmbQ6onyekPCyOMmPaPZ9+7oqcWU2z0QpTcdwUFWZds/BtDx0VUIQhCP5I6btYTtRInGlkOJPf3F+JG/h1lI0lzzaaLJbM7AcD02VaPdsJEkgrckjfoJB7EBVJb7+1gx+GGI7Hu2ec6YC7eF157h7PguDAkvo5/d4QdxldEDUkepyJA4uTedHRDASPr9YjjdqixmjtpgkCtxcPHn9L2S1E3PNRFHk629N8449jqpEPgvX8zFtn7QuHyueMigAa3fseE2HqPvPoIgDzjeOLcdnophmom+vDnLlRo+J5pnjcpMO39NPvDs38m8n3ZPvB7EvAiJ7wLY96h2LlCYfO/86rh915dPlc/lLbdePO/cB8Xx1UZ72OyUkfJ7pWlH8ZLKSRhBAU2Qsy0PXL1cRRCjA9FgG1w3IpWXqbYvyJbFjBnQNl0ImyoNOaTKtrv2qL+mV8dKevjfffJPf+Z3f4c/9uT935LXf+Z3f4c0333xZl5LwnPjjT3a4v9YAok3CN78w+1I+17I9Plmt43kBkiRwe6nMxl43Tiifn8yhKiKPNlsQQialcHvp6YUckiSwut0iDCMVj3euR05PXZPZb5rx+d+8WqFSSLFdjZRCNFVCEgV+9LA6ck2D4Fcpr1NvWWTTCqIgIEsCqiLGbZRPQ5bE+JpS2sE1pTR5xCgsF05W0sylFRRZjDuIVE459iyU8zrtrhNf3+vaRvIyEqkX1ekaLghwdbZwqqOgmNPYqvZodix26gayKHB3tc7cRI6UfuAEF4So00y9bbFbN7Acn3rLYmO/y8Z+j3Jep9m1o0IoIVLL2bQjZyUCZNNK/MwNMz+Z49PVerT5EhhJ4mp17Vh5N6XJ3F4uj2wOsikVVRFx+gUipz3DCQkJCZeF63NFtqs9HiZFHAkXYGOvQ7Vh0e7ZOF6kiKirMn/88Q7v3Yqep//v796la7jYrs9PfGGGxZkCNxdKCIKApkhkUkrsIJ2fzMVJj7I8arM92Wmzsddla79LJqUwVc4wP5mNE64zKQVNkajkdRzHR1VEEAQURTp2za61zBHb+9ZS+dxtlRMSEg4o5XT26gZhGNnypSEFu1JO46NH+zTaNpIk8sHDPXq2y2QpEwVMFalv9/cwbA9ZFFmazpFLy3zwoEqzayMKUaefhak8c5NZZsYu3pXjJAbzyCDIUUm6PyQkAFGA8tOVOp4fIEsi6ZQc+1hcz+ePP97BD0JUWULXRdrdaF2/OnuQ3CdJUWeMAeW8HvkROLrmlws6m/3uHgNb4SyU83pUNMbBeIYo8FvMabGPLJ9Vn7mA4zSyaXXEpwXwo0dV6PvuvCDAcQIEIfI9eH50XEqX48RKiHwiAz/eWDHFldmjyZIJCS8C1wv4ZKVGo2OxXe3hugH7DYOxUprxks5EKUM2rZDWFGptk619l2bXJqPLjJXSkX0ucOYuSuW8zn7ThDBSxh4ULWXTSuTnG+LhRpNGOxrLZ7EHVnfaEEIxq6FfoIDDcX0+WanhuAGiKHBrqXxqUdXAd5hLq7S6Ntm0giBwqrJvQkJCwrPweLPFtz/ciua6nMaf/drSyNzpByF3V+uR36Ufv7Ecn829Lp4f0OrYaJrMTq2Habvcf9KkkNH4ZLXBL/93t1FViVJOZ7vae+r8vjCd59FWC9PyaHYspscyfLJS485S+bnYXroqk9LlWKjjvPEZRY5inF3DJZtWRuJYw8lnEN3joLtBth+vTPjs4fkBn67UMW0PQYC58RyiKERJlgKx6Ew5r8f2hyQJFA7FmMt5nf2GyYP1Brt1g61aj8WpPOOlVLznKfXHTUpX2Kr2Yl/oF29Fz2Exq7Fd7cWffXicNToWD9ebUfxSlxEI+eH9KnsNE9fzWZ7OU8rrTIylMYxojBRz2rG+Tsvx+N0/WqNjOAgC/MS7c2fudJaQ8Lwo5jR2GwYM/Ij9Z15VJFa324RhiGG7KJKEIouIksD8eI6tahdFEpmbyB3JH/H9gLV+Z8DxUgpNPd7+11SJ1Z02QRAShiG245OuGWiqxJ3lCoosjsQOepaLKots7HchhJTaRJFFCtnTbXx1aN2Bs++PhikXdHqWiyBYqLKIqkhJt9qEzwRpPRJxGNhbx4mkXBTPj3walu0jigKz41m2ql18P0SRRe5cqcQ+Q4C1nTa7NQOAUk4lnVJiYZrrs8VR2yB/9r394Zy3p63t57GZe6bLp6t1guDoPUmSSCGr0ur7bjNpmf/8/nr0XQvw9rXKyD3JcpQ3GAThyDx4Fsr5QzGhZ5ifuqbL3aF7euNK5YV3U01IuEwUszqO61FtRvPmzJh06Qo4ACzL5fFmlFOcSStMFi+fzzSty9zfaBIEoKkif+ari6/6kl4ZL+0J/B/+h/+BX/mVX+GXf/mX+et//a8zOTnJ7u4u//pf/2u+973v8U/+yT95WZeS8BwIgoD7Txrx36vbbd67Fanpv2j2m2Zcae/7IRt7HZqdg2ri7WovSjTrJ6H1TJeO4Tx18xcEITPjWVw3IJNSMGyPlK5gOT6Vgo6mRMUaAgLzkzmyKQXXDyjndXZqvZFr2m+YLE5HQairswVKOY3loIAkCnh+QCmvnana1QuCY69JEgVuL5epty0USTzVgFPkSHWz2bHRVOmp38PTmCilo2Qcx6eQ0xJj7znSMZzY+UAIW9XeqUUcaV3hjSsVvvfpLtOVSP3d831M20OSBG4ulrCdSCVvY7dLPqMhivAnn+wyWc4gS2LcjniylGZfMDFtj2tzRRwv6uBybb6ILIuU8/oRB2WlkOK/+9pS/zr1kdaAO7VenAhq2h7Njj2ipDHYLDTaUbvkJACbkJDwWeDafJH/+sNNHm40X/WlJFxCtqs9NFXii7cm+O4nu8yMZSnndUw7UqDtGA6uF2DaLn4AjzZblPIpeqZLNq0iCFEiVK0VKe+X8zrtnoPt+BRzWqx0GwRhVPwpiSxO5ulaLlfnClFQvW3hB5G6liAILE7nyWVUFqZzCERB/uPszp2aMWp795xkbU9IeAbyGZU7yxW6pksurYyoY09V0txYKHP/SZ1cWsP1YGO3y0QxzZPdDguTOVKqzGQlQz6josoitxbL5LMqq9udOPl6fa/LwlSe7WrvhRRxyJLInStlGm0bRRHjhI2EhM87+w0jLjSwHI/tWo/x/l75/nqDUk7D9UMgjNdTgail9+3lMqblkc+qIwUKU5UMKU0+suZDFLhN6zKue3ZfFMCV2QLFnDZiFwy4Nlek3o4CHC864WHgOxj4tNb6SeQw8P9JpDQ56vSpSMyMZ/H8gEpeHxFz2an14v+uNk3mJ7NP7QKQkPA8aLQtbMen2VegfLzVioV56i2bd29MsDCZ482rFf7N7z2glE+RTSnU2jZfvD1JiEAmpZy5g0whq3FnuULPdHnjSgXL8QiCKGFpeBxbthcnUAJPtQcEAWYqGbwgJJdSsFwf5Zw+4VrLisVcgiBkr26QPaWgath3eH2+iCSJR+yihISEhOfJpyu12M5odmy29jssTR/MU52eEyeLE0a+kIHQWsdwqLUtlmcKzI5n+f3vr1PIaEiSQLVp8nizya3lCplUFNPpGO6p8/vseJZvfXWRP/lkl+WZPPmMhml5tHrOc7G/RFHgzlKZWttClsRzn1MQIkXnestCFOG9m+OsbrfRVflIZ5FBjPS49Sjhs0Ora8fjIQyhZdjcWS7TNVzSQ896pZCKuuhZUQcO/ZB43PJMgUJW44cP9hgrphAFgfXdDu/dGseyA0TxYA9i2i4TpTQ93UWWRYJ+UDKTUo797AG7/QRJiDocDvIdFiZz1DsWV+eKfPn2JLIsPXXf82SnEyuehyF8ulpLijgSXjqFrMYb/T1Adshedj2fuYkstutHwotBZGPvVHukVZmFyTw902VmPDMS44eoyGp6LEMQhOTSKrbrj/ghBjhuwOx4BtsJaHZt7H6HG9vxaXQsJkrpkdhBRldQ+37CXEpBEAR2ar2n5q8cXncushYuTefJZ1SWpvPIkkA2rcYdThMSLjOiKPIzX1lkZaOFJPFchUvqbQvLPuhgc2+tPjTHBNSaJjP9opEgCOMCDoBGx+HPfHmB9b0OaV1mabqAaUcdeDK6HHe7OgtPy3nbqY6u7eexmfcaRtzZw/UCai1zxD9yfb4U2wORL2c/eiGElc0Of/Zri9E9pRS29rvxuYbnwbOQS6vxPuFZfR/7h+6peuieEhI+75imw3hRBwQEAcp5NRK1PKFo9XWlZ3sUsxp+GJLRFVZ3e7yVO3uHzdcBw/ZYnMpjOVEXxHrHYnbi8zlfvbQijp/4iZ/gf/1f/1f+0T/6R/zar/0agiAQhiG5XI7f/M3f5Md//Mdf1qUkPAdEUUQA9lsmYRhSzqeObS08oNW12dzvIgoCC1O5Uw2OWstkp2agyCKL0/mRyl3gSKWqpsoIghMbZYoixseEYchew0QUo43maVXHggDtroPrRUbooDhBloR+ha2GZXtsVruoisT8VC5OYjsc+B2+RkEQTkzE39rvUm9bZFIKC1P5I0nyiiSS0RXo25fDwXZZEiPnlOny6UqdkJCFydyxxq6qSEyUn99E/ayFIAnHc/jZHlZ5CsOQ9d0Ou3WDx5tN0rrC7eUyuirTNR0c18d2fNqGgyQJXNEL8e803G4qm9LIplSaXZswDJFFEVkUEQSBQlZDVyVEUUBXZfJZNd50nUQprx+bzHnamBjQ7DjsN01URSSTkl94AsX6bqev3KeyMJl7aneehISEhPNyfb4IwIP15iu9joTXF88PWN1uY/eLhIeDI34QsrXfpWO4BH7ATstkp9pFlETmJ3KI/SC3KAr4QRjZyAIjNnjXcKg2I9s3pckUshpdw+HhRhOByA7PpBRkUYwUwPuFmqWcfqLNehZH5+F1PlFVTEi4GIf3h8cp5iuyxPRYhpWtNvWOhWqKeL7Gk90OrusjiSJ+GFJrmjiuz1QlQ7mgk0mrZNJKv4ueHe81DMvj48c1FFlkeSZ/ZpvccjzWttt4fsjMWObEPcHz3IcmJHwWkESBu2t12j2HXFphamiM6KpMtWnielGXDtcP2NrvIooCubRC7pQEg9P8NBcpojrNl2XaHvsNs3/N0rmCrhdh2KelSBIWkd9OlsQRP5oin5yA6AcBW/s9gjBkopRGFM9vq/hByJOdNj3TpZzXn+ovSUiA6Llc2WrxeKtFEIRIfZve9XyqTY+dukFWV+JkpwO1R4GO6WBaPqatktbkM/uxskPJiid135EkEUHgwJ9+yH5vtC22qj1kKSrsVqShsS5EPuvzcpE9w7At4Xo+K1ttXC9gspweEYt53tiuz9p29FnTY5lEoTch4TXBsCJF2Z26wWQ5ze2l8omxxiAIWeuv28WcdqQ7xHFoqgwcxFJS2sG5N/Y67FR77NR7kS0hCCiyiOeJ7HcMdmoGW9UuogDZjEopq2E5fvz+7FC3gbT+9KSsSDXdQxIFbMcnTIcI/c98VgzL5clOhyAMmZvIjXRxOw+SKDBeOpiLby9Vjj3uNLsy4bPD4WJxRRJPfNZP29dA5IvMphT2GiaG5WHaHv/2/32EIosUszpfvjNJpZBCkaOuAgMhGUUWj427H54PDl/rSFeavM7VuSKPt9pnGiOpQ0UoxyW5JyS8DDIphUxKIQhCVrZa9EyXnuWR0uT4f4OEXkmMulD0LJdWz6bVcXDHgpE1RpGleJwKQjTnP9lpR76MTBRnH6xLKU3BD1yaHQvb9QiDkI7pIokCvh+wvtvBtD0mSmkUWWSynI6Lu4EzC4YeXncG1NtR18OTcouGKef1I7Z9z4zWxdNybRISXndUWeTmUulC7zVtj7V+R53Z8eyIj1E9FCs4XHwJcP9JA9cLmCilkCQhij8Q+TWyaYU7ywc24mA+ugjNjs1+00RTJNL6aHc3RTnd39DoWGzt930cU/mR+zhqw4zesygKsf+h1jIxLJeu6SKJkR9y+J5EMRKSsV2fXFplYSrHvbV6FEMZzyAKwql5k2fZJ5yFw/d0+HdMSPi8I0kSknzQtVyRlUtXwAGRyHytbRH4IX42uPDe/lWiKRKeHxCG4LkBKe3y/Q4Am/tdGqfkf5+Fl7qT/Ct/5a/w5//8n+cHP/gB9XqdcrnMu+++SzqdBPUvI9NjGRodmzAImSynkE94AH0/4MF6M94YPlhv8s718WOPtRwvbqcIEAQtbi2VR46ZLKfjCt1cWmV+IkcurbK5FwW2l2fySJLIymaLzf0OqiIRBCGbe11Smnxi0EUQoqCuH4T4YcDgbnRV5spMgc39DttVm0pBp2M43F9r8O7NcQRBYKKUwrQ9Wl2bXFo9olZwHPW2xcZeF4gSZ2RJPKLOsTCVxw9CTNtjvJg6Nig/MIqj/27G15Rw+UjrCovTeXbrPVRZYmlIsWivERU3ff/eLq1u1Flmu9bj2lyRfFpju9bFdn0KGRVZEgdDCIiSOeYmsuw3TVKazI2FIveeNAmDkKtzBcZLKQzbY7KSJtVv963KEkvT+Qvfy/xkDs8PTnx2DctlZasFQM8EaHN9/mIby7NQbZpsV3v9z/ZQZTFJuEhISHjuXJktIAjRnNPoWInqeMIR1nc7cUvjnumS1pWRDbXleNSaJq4fYDsBPcsln1Ex7UgRa3kmz3ath6ZIvHNrnMWJQhwcPGxzP3SbvHlljHtPGrHT9P6TBu/enOD6QpG17TYhPJfCxqXpPI/DFo7rM1FKn5gslpCQcDKNM+wPAa4vlNhvmiiygB5IeH6IIIDnBUyU0qR1mZVNG02VcdyA3bqBF4Tk0ypfe2OKjx7XyOgyM+NZZEnAdsNYTXZlq82NhbPZ5I82WvH7Hm5Ee/ykS2NCwtOpty1aXRvH9QnDkJuLZVK6jAB84do43/5wm27gkE0rOI6LGYSAQBA+7cwvj3tPGnE32pfth1qezbOy2cb1fZZm8pGaXN/XcaribRglb4UhXPSr3NzrxMUrhhX5GE/rjJuQANDuOVRbkcq55XtMjaVRFYl2z+HKbIHdmsEjw2VhKsfCZI5qyyStKSxM5qg1o0Riw/JQFfG5qiYqssi1uSIbQ/70AY7r83CjGRd4PN5scWWmEBVQ+FGB6HGJG09jrJiiZ7k0OzaZlHJuv9zKVptmJ/pOHm+1yKSUCyd/PPWzNlu0e5Gq9qONJpnr46cmgyUkJLwc7q01uLvWIAhCmh0bAYH3bk0ce+x2rTe0bkdJrE8rJPjam1P8tx9tYdoeV+eKTPaLyGotk639KLagKRI902V2IsvSdJ6O6fBgowFhiKbI1Ds2mZTKT743yw/vVzFsj3eujZ2piGSY3brBbs0gl1HZrRlYjs+NhdJzUQx/sN7E7heYDPxEF0kwSEgY5nAccmHq4vFFgJlKllrTYr9ukMsofPSohiQK3Fmu8P/+YJNf+FPXyKYUFqZy7DUMVEWikFVZ2+4A0biXRCHqQHpoPliYyhEMYu+lFDcWivzRhzvYrsftxQq7NQPbjcbIg/UGX7hx8hiZn8zxxpUKK9tt8mmFL92eeqb7Tkh4Vraq3fh5D4KoMEORJX7i3VnWttu0DZcbi0VUWeL+kwaFrIbpRAnc1+aK8XmuzxdZ2YqSuucmsjTadtRRg2gcaYrEVCXDzFiGnuWyttNmqpLBcX0erDe5OlfEsD2+/eE20+UMhuXS6tq8d2uCqUqGICTey593jRzGdn0eDe1djsstehrDuTb3njR498ZEIgSZ8LniwXoj7rbxYL3JuzfGkfpFAMWcxsx4hlrLIqXJLE7n2djt0DVdilmNjuHQ6kZ75xXLZXk6H3W8Ahan8s/NX9g1XVa320AUW0VgZM5anMrh+wGW4zNeSo3YzK7n83D9YJ54tNnijSsHhSUz41HHokGx51jxZF9fRlcoF1JYTuSnmSyP7i8EIRLhC4IQPwhZ2+nEeYf31xrxMXB63uSzcvSekoLqhIRhFEXk9mKZHzzYRwTuLL+4XMUXiWW6/ZhHiOX6eP5rFEQ6I5OVFGlNoRtEhcKV/OWbr+pti80zxPefxkuXA0in03zjG9942R+b8JwJw5BsWuUrdw6cEX4QHruh8fpGyoBG26LWMinl9CPHu14wEk0dOEmGEQThSDve46rmby2VUWSRWj9RDogdk8fh+5BJK5imGyugDUJJY8UUpbyO7RyoAuzUetxfl1meyqOq8rkT3h3Xx/WiJHdNEY+9V6WfaG47Xpzg53o+7Z6DrkYVvU7f+IJIZcEPQmTpeGM4CEKaXRtREGJlkuOuq2M4pDT5SJVvq2vj+QHFnJ44dV8Qk+V0HBwYxuk/HwNlCt8PCEMBx/XJplRmKlkUWSSbUmNFDIjGarNjk9Jk3r42FqlJ7HaYH88iiALlvM5SX3F3bbtNu2dzZ6kyourtByHNThRwPknds2s42K5PPqP1HULiqQlgwwobx/39NDwv4MluB0mMFAGPo2e6WP2x4xwaX8eNt4SEhIRnJa0rzE1kWd/t8nC9yZfvJEGbhFEOr0eDvw3LpWe6pDSFXEbFdDxKOR1JEtAUia1ql8lyhp/5ygJhGDkKB4lTluNFa57tUW+Z9PrFipOVDEEYxgUctuOyVbWZGc8wWc7w5tWx53ZfqiJxa/F8wZGEhIRRDtunw397fkCra6MqkQreWDFFMafhuQEd00GVJDzfp9m1eOvaGJViOlIp6GPZkaLktfkS14YKp1tdmw8e7NPuOaQ1+Vgb+aQ94PB8FobRNSZFHAkJT8ewvJFCXwF4q78mr2y1mB7P0GhLZFMKlu1RyKWiPb4kxnvcXFp9ZeMtCMK4gAOisR8EIdIJfqjT2G8YtLqRbZLWRxMSh30Mrhewtd8h2xdNub08anOc1nV3gCQJI4lkvh8gidF3OPCbQBScPinA7LgBtuNhu8GJc2ZCwmF6lksho1Lo+3WnKhm+/tYUf/ThNj3LpdE2MWwf20mhyCJvXR3j9lKZnbrB6lYL0/bRVelUn/Z5GYyvbEplZjyDZXts7Xf7gf00rhfEyQ0Q+dN1Teb2cpkgCKm1TB5vNhkrps+t8LY4lWfxgtvkkTEXRrbIiyrisA/ZOa7rx0Ucg++vkD2q5J2QkPBiMR0vjjUGQRipfYfhsWv3kXjAGebRbFrlW19bOvLvw3NCKaczVkxxZTaKUaquxNx4js1qF88PyWUUpscyZNMav/hT13H688VhfD+g2bVRZOnYuXTwmbIkMjuRZXosw/TYyeJxXdON44hP6644/N0EQYjvB3h+NL8Zlovt+GRSCqoiUcxqcRLfIHaoyCKuF+C4fj9x/uh8aNoehuWSSSlJZ4JLTqNjEYZQzGpPTWqeGc+eqUjTsFxM20MQhP4Yjtbb4Wcpk1b44q1JepZLtWVhWC7ZlILj+DQ7Nuu7HeYnc0xVMrGw4k6tN/I5g7jj4fkgCMOh2HsU0/zZH1uKX//jT3bi//b9EM/zaVnekdj6wFdzbb7IuzePLyhLSHjZDMfbJTHKM5ksZ2h2LCZK6XhNarStkWOH18mu4bBT6zFZTjFWjHIW1nc7I5/T7tkoskgmpbA4lafVsemaLoosUimm4gJuz4u6gVcKkUL/IJF4opRCVyV0VY4V85sdmyAMnzrfVJsGzY7NRCWDSDROe1bU+UMWBWotM/ahPo0gCOMCDvrnCsIQkSQPJuHzg+MG7DcM/CBkopTCcn2srh3nBs1N5EaKra4OFU98+Kh6cKIQZEmIRd6yKfmpNu9hhmMRAtDs2iNdRA+u2ceyPXqWG8dLbx6KUa5tt/GDkLGCHs8ToiCM5EFBlFc1XBByGrbrszAZiXAAqMqonev74Yifsme68ffh+SFBEPS7/x21T54n57mnhITPI34QMl7UWeqP5VJOIzgh5/l1xheiTjteEKApEnuN3sgcfRkIQ4EbC8VLHXN5XvmoL91z0ul0WFlZwbbtI699+ctfftmXk3BBou4TafbqUcV9Oa+f2MZXUySKOY1mx2avYSAQqXbm0ia3lkojDtaMHrV6HBQlHJfMfh7GS2nq7cjBJMsi5cLJVbNtw+aH9/b719HlCzdGHS6DFo37DZNHm02qTZN62+LuaoOf/bFl1HO2MU7pMhv7HVw3QBAY6bowoNo0ebwZdSuIkuKL3H/SjDaTAlydLWC7Plv9DgOz45kTg0dhGHJvrUHHiCqhJ8vpI8nvluPxyeM6nh+d//p8MU4uWN/txJ0MMimD20vlS7eAXWYqBZ29hsHUWIa1rTZpXaaY06nkU4SAqkpIohD/Rldmo+n94UaTRjuab2VJwAtCPnpYZafeI5/RWJjM8bW3ZvjOR9s8XG8C8OBJi299bQFRFAmCkLur9XhMzoxnjihi7NWNuPJdUyTeuFp5ahAzl1ZGWhRPlM4+1oMg4D/9yROqzUhJZHO/y4+9PTNyTK1lxl19ZFnk2mwBWRLx/ABRFBhPqs0TEhJeENfmikkRR8KJTJTStHoOhNGaWchqNDoWD9abbOx12a33QABZFGkaNj3Tpdo0kSSRDx9VkSQQBBFRFLi9VEYQ4JOVOrWWyV69x8p2B9PyKGRV/CDkS7cnKRd0Nvc6fO/uHpos8R/NJ3ztzSmuzV1OVYmEhM8q5bzOdrWH60X7w4G96vsBn6zUYjWscl7jTz7e4eF6k0bXRpFEBNro6wpKX9n7zlKFhhipzucy6okJzq4XdeqwHR9JEvjx6dmR1zf2OrHibFrvcWe5Eu8BJytpNnYjZZFcWn1hSZQJCZ81rs4VeLzVwvdDZFnk6tyBL6jRMvmDH2zgByDLAlOlFB0j2osXsiofr9TiPe4bVyqvRBVeHPKNQeSrkC6QxPxwo8F3PtqBMPJn/LmvL5HtJ1gM+xgEAda22lh9x/d7tya4s1w58bwnMVFOs9tXDS3ltZEimGG/STmvc22+eOw5VEXkyW6HMIwKWN+69vwKYhM+uyxN5/h0pYZp+wh9X+v6bod7Txq0ug4906WU0/jocQ1NlZAkkU9W6kyPZdjY6+J6kR/r6gnP5XnZaxisbrUJw5Cdeo9sSuWH9/fRVYlCTuMbb8+wNJ0nl1YPfMiVA5/d3bU6Hz2qxUnJX7w98Vw7hJzGZDnN6lY0N6R0OZ4zXtRnPdmJEtWyaSUWOrqIDzQhIeH5MTuWZb9u0jGirmUzY9kTiy/HiilqLYsgCJGl02ODT6Oc19mpGXj9OXm8dBBb0FWZ/aZJp+dS71hkM0qUaBaEfLpSj47RJN5YrsQ2kx+EfLJaj2MjcxNHE9/HCpG9NSiWrZxy/bWWyaONgzjim1crpxZyHLaLgiDk45UaW9Uun67UUWUJPwj54q1xKsU0d5YruJ7PJ4/rOK7Pk902ihx1JBkvppgez4zcX7vncG+tThhGtuOd5fIRwbiEy8HKViu2+/NZ9bkIuDTaFg82mrS7NvsNk0JWo9WzWZzKk0kpvHElWlsHz2mtZdFsWzheVDy+ttshpUn8v9/f4MZiaURs8ohfpT9WD88HYRjyyeMaENn4b1wZG8lxmBwaI8Wcysp2m3ZfZXy8lGJ5poDnB3z8uBYnvi9O5585pyEh4XkwXkpRb/efd1mklNX4dKWG0V9zBnH+fCby5Zm2B8JBTk7bcPj3/20Vx/NBgG+8PcPyTCHOU/D9ENvx2a2bNDsOoihwa7FIvWNRa1qEYUi6n7CsazJTlXScIzRRSvPx4xrX54vcW2uM5Lt0DZfdft5RPqNyc7F07Bq/tt3mDz7YjH0jP/PlefabJq2uTRCEZNMKXr/gc2EqFxd5ncRhH0e5oCf2fcLnjq39Lp+uRnZrvZMmm1YwrGh9mx7LnKomPllKx3vktC7z/Xv7cb7So400k+VMNM8Ac5PZU/0Hh/PRRIHYL1rKa+iaFMVIhCjX6KPHtTjp+tZSmWzqwN78ww82Y/9BJa8RhNDoC7icV4ximGxaJa3L8Zw6cWjtnyilaXXtvu9QZLJciOe2cl5HEqHZPcjXS0hIeDXIksjvv7/BRj/+uVs3+LF35l7xVZ2fbs+JOwnbjs/i1NG849cdVR6OuYiXMuZSyutsVXt4/X3oefJfh3lpUXbP8/gH/+Af8O/+3b/D94+vOPn0009f1uUkPAeWpvOU8zphGD7V0Lk+X6Tdc3A8H7XvPOwYTqzkNWCQkNbuOXH1/rOQz6i8dW0M0/bIptQTC00A6i2biVIaP4gURHcbPXKH7ivapKZ4uN6Iixs6PYd6y3zqJvAwpuUxP5Hrt1qTjq3EGiSpQ5Rgs7nfO1ADCGG/YaKrMnMTWUKiIhjPD47dXNqOHwffAPab5pEijmYnqmwenL/WtOL7HL6Wgfpj4nh9eaR1hbeujnFltoBpubheyPR4FoGQrhmpS/h+QEZXEUUBRRbx/SBORABY2+kwWUr1u3coZFMKYRhiWA4rW634uFrLpN1zKOZ0TNuLCzggeg4OF3HsDz0btuvT6TmU8qcHRSRJ5M5SmY7hoiriuZ6ljuGOPI9rO+1jijisuKuP5wVYrs9b1yp0TZe0rrySZJeEhITPB9fnS/z++xs82Gi+6ktJeA0p5XXeujqG7fhk0wqyJFJrRmvWIChfykaK05l0hffv7kIIhZyG6/l0DJd8Jgqw19sWYj9Ju911sN0A1/PJpGTyGZWeFa3f1+aKNDsWxYyGpkoQwupWOyniSEh4zVAViTevjtE1HVKqHO+Tu6YbF3AA3HvSwLQ9UrqC4wYEYYAkiARASpOot20C4FtfW6RnukyW07G602HqbYu5yRym5aFIQrxXHzBscxuWh2F7cTBkZixLPqPheQH5jPrcWqMnJHzWGSum+flvXqHaMhkrpEaSkB9ttcllVHw/REBA12SuzueRJSHyGQ3tcVsd+0ig8GUx8I2FYXhit86n8bgvugDgOD6bez1uLkXfxbCPYbvWo9G140Kxlc3WhYo4FqciH2YQjPowD/tN6m0LPwiP7T7ruAGLU3kcz0dXZXqWe8RvmJBwmLSu8rM/doW9Ro9iViObVvmjH22RT6t4XkAYhkyW0wRhSC6toikSpu1Ra1nMT0Z+Y02R465az8pgbXe9gE7PpdV18PwAw4rG88pWi+WZAjcXS7R7DrIsxmu/7frs1Y1YXazds6k2zZdWxDFRSkcK3G5ALqO+0C7RU5UMubSK27dzBkWsF/GBJiQkPD8Wp/OU8hrtrkM+q5LPnGyH5NIqb16t9GODylO7U5yGrsq8dTWKLaQ0eaSzhOV4jJVSZFIKC1M5NDXqqjTsF7Rsn67pxnaTYblxAQdEc8vhIo5MSuGta2NRNwtdObUL2/6hOGKr68RK58dx2C7arvXw/ZDdmkEYQrNrkdIU9psmaV2Nu8d6foBpezhuQK1tkUuptPvz4PD91VpmrJYcBCGNjp3EEi8pw89Wu+vE3VeehWrLhDAq9vGDkN16D0WWMCwXWRLpGi7FnMbiVJ6UKlLIqqQ1mTCM1PLHChqlfPR8r263R4o4TvKrHJ4PBkVPENn47Z5NpXAwZobHiKZK/OjBgcp4tWmyPFOg03NGOhdUm2aSjJnwWnD4ebfdIE42hoM4vySJ3Fk+Gqdf3+lEBRwQxxGWZwpxnkLPctlvmjT7++ggCNmtm5RzOroqIwqQTilcnyshyyIpTeZ7n+yQ0iQ0VcZ2/LjYavAZ1aYZJ2pDND/Yrn9sJ6fHW60R38jjzRbj/XXYcT1andFcmLPk7zwPH0dCwmWmZ7mMFXXCEAI/ZL9pktEPfHSnFXFMlKOiD8cN0DSZH97fj19b2+6Q0uTYDn+a/2A4FtHq2HhBEM8DzY7Nezcn4jmr2jRHOvTVW+ZIEcdav7AEYKdusDRTIJ1SEEUB4Rl8CZIocHu5QqfnHJvjVMxpvHV1DLPfSVmWou5Evh+QS6sIQjTHiaJwpm5BCQkJL4Zm16LVc0nr0RxTa9tYloeuXy6xOscL0FQBQhBF+OH93TN1RnydcLzLH3PRFIm3BvvQQz6j8/DSnr5/8S/+Bb//+7/Pb/3Wb/G3//bf5jd+4zdQFIXf+Z3fodPp8Pf+3t97WZeScA6CIOTxZou24ZBLK1yZLY4ESM5apSoIAoWsRimnxwnhoni0Vdng34fbkQ5wPZ9HGy0M26NS0Fmcyh855jh09fgBUm9bPNlpIwgCyzMFcmmFWktECgWabZsnOx12aga6JpPVFa7OFeI2b/msyv0nzVjZNHuOYhPPD3i00WS3HrV6nCynEQRhRLm0Z7o83mzxcKPBo80WYr/zyc98eZ5m5yC4nNJlLMcDos+X5X7nhI06huVRzuss9Qs1FFmkZ7ns1KKNsa5KyJLA/GQudk4d/p409cAZp6syrhdtfAdFAgkvBt8PeLTZihzfmaiae7vaY69hIorwZKdLLqNwZ6nMW9fGKeUk2l2be08a1FomxazG7b5K7qC1NUA2pSDLEpoqERJ1tKi1LB6ut+j2HD5eqeEHIYtTudi5qSpinCAKB89ItWmyvttBkoTRhqLC6HNzGrt1g526gaZIXJ0rnHkhS6kSsizi9e/ruADA4WuI2rFKlHJJ8UZCQsKL5XpfIfXBerPfDj5Jak0YJaXJVJsmv/cnTwCYmcggCmKUPB0CgkjHtEEU0WWJjWqPrulSKeg8XG9g2D75jIrjeTxcb7G510EQoNq06BoOqiqjyhKVoYD99FiWu6uN+O8XqVqbkJBwcRRZjIvoB2iKBAL0DJe9hoHnBwREiQSyLCJLEo7j0+xa1NsmOV3j7asVml2Tf/OfH2FYLm9dq/DujUk+WakRhHB7qcz0WIYnO22qTYtKQSeb0o61oR33YA94uPvkefbBCQkJEX4QslMzaBsOnhdyRVfi5OBsSqbasLA9n5QqcW0+H3flaXVtNvY62K5PLh2pUl6E9d0O+00TXZW4Nle8cBLWSf7Ax5stfnBvF0EU+eobUyOdgPYaBpt7XWQp8l093GjiuJFd89Nfno+P01Up9h2m+8qgra6NJIlMVU5OjOqaLiubLTw/YHYie0Tx6Ljg6GG/iaqIJyaGa6qEqkjxd3ZRZ/xprG23qbUt0poc+yETLj+6KuF5IY+32mRTUSLuoPutYbl0+smKjbaF7fpUCilmJ7K0ujaaIrNd62I6Hl0jSqCVJIErM4UTbfp6y+Tf/tfHtHs21+aK/Nw3rwxdi0zXcJEkAVEUyGgy2/S79/oB9bbF9+/tMVVOx0E/x4188j3LjQSCBCAERZbicdDq2rHK5cJ07og9s1c32NzvRh2IZgvnSub1g5DHm82ooD2tcmW28FK6Qx8nLjU8P53HB5qQkHAxhuMkxazG8kyefEY7tXhjwHD84srMs6+pJ8UWVEVCFoV4b1TMaeiajK5KmJZHs2tTb1tIooDt+WzsddFkkUJOI631lcpPmEs0RToiRjW4r1rLIqXLlHJaHGc1HY/dmkGjbaGpEqW8zvJM4Vi7LZdWCcOQ1e02T3Y71JtWbONIokirY1NrWhQyUQczzwvYqfdotC3Wttso/X+bm8giCIxc52Eb6aT7S3j96fQcPnpUJQhDrs8VkaTJkdc/fLjP3bUGqiLxzXdmRgohTiJ6Puy+L9PE83ws18cPQjw/xPMDPnxYxfMDpsfS5NIqVr9YQpZEUrrCTq2HKAgsz44qzYZhyOZ+l3rbIq3LXJ0txrFsXZWRRJFHG00eb7UIgjDeLwRByIePqnhewPRYJi7mhMgOkSQB3w9pdW06houuVpkeS8c2UXT+0ef8VdkvCQmeH7C23aZneeTSCqbl8aNH+7huQKWY4sZ8EcvxeLTRwnZ9JstpirnI7jcsl516LxpjokC9bfUTuLNcmy/F+2Hb8eMiDj8I2K33WN/tktJlJktp0poymusjwH/5/ga26zM/mecX/tTVSIyxj67KtLo2K9ttwiBkspJBOaEbRiGrsbnXjf8u5TWaHScq9pZFjKHi99Q59uzPosz/OpD4EhJOw/MC/uCDTfabJmMFnW9+YW7Ez5/WFXw/WtBEEWpNkx/uVpEkgfduTbC2045sT1Xm2vzo82XZHo83WzhewFQljWm7rG1HXS1nxjMjOWVn8aOtbbfxg5ByQaeQPRiXuiqzXYvypTQl6iQ6zOFzZ1MH3UXVfmGn1I/Xn9c2bXbsuChkcTpPMacdm88YX4smjwhZD8dQaq3IlhcEgSuzhRdWyDHISexZXryPSvIVEp4nW9UuO7V+rt9sYeSZvwxkdRnTduOi9aly+tIVcEBUWOZ6EBKiCOIRIffLQOgH/MEHG/RMj7FiipsLxVd9SecmDEM29jp9AQuZa3PFC3V2e2lP4L/7d/+O/+l/+p/4uZ/7Of723/7bvPPOO7zxxhv8lb/yV/ibf/Nv8t3vfpdvfvObL+tyEs7Ibt2g3o42UY22za7ee6aqrWvzRZ7sRIbX7Hj2XA/t+m43bgO0WzPIp9ULK135faNloAbzcKPJV+5MggAbux3mp7KxusB4MUWQD9nY67I8EzmEZsYyUftkP2B2PBu3CT4LW/tdWl0HXZXRVI8gDJkdyzA9pATweLOFaXtUGxbtnkMho2FYLq4fsjSTp96y0DWZuYkc48UUG/3N6txEls39btzWda9ukEsrVAopgjCawDVFipSbBQ3HjRQKClkNWRIp5jQWpnI0OzYpXR4Jtl+dK/Bkp4MXBExXMsnm7wWyVe3FxTrb1R49yyMMQ6pNk9Xtdj/BwOeDB1VmxrNRd5iNJp4fIAoCHcPF9wMEQeDmYil+Pu4sV6i1TL7x9gwP15u0DJsrM0Usx2dzv4coiQhCSM/0sR03Lny4Pl9ku9ZDlkQWJnO4nh8rXbgeyP1Wo7bjM15KnSkQ2zWc+Lo8L3Io3TxjK2ZVlflT783xo4f7yJLIF29NHjlmbiIHIZi2R7mgX3rnS0JCwuVhaSaPKAo0Oza1lnWq8l3C55MgCPjDDzZjp+jjzRZfe2MGTZWot00abZtr80V6pocbBBSyapxcaLsBoijQMz2++9Eu2ZSC21fGSWsSuh512dI1ibkhO252PMsXb0+wtt2hkFF575i1MyEh4fVE12SuzRb4rz/cJKXJjBVTpFSJiWKKWstiopLmB3f36BgOgiQQ4rO20+bT1dGA6I0AAQAASURBVDq1VrSn+M6HOzTaNql+ktD9Jw12aj2y/WSIjuFwZ7l8RG3uymyBJ7udKHmiknlmxc2EhATYrfdiP1u9bZFOybEKXSGrkssoSJZAIatybaFMNqUgiQK5jMqjvqKzqkj4faGF89Ds2GxXoxbhXS/gyW6Ha3PF53JfAI7j8UcfbvV9bT7/7Udb/NWfvhG95vqsbrf7foSAnboZJz/r2mh32sXpyJ62HZ+pSpqu6bJd7ZFSZSZPUdF8vNmMOxetbrcpZrWnzluH/SZzEyf7PGfHswRhiGl5Tw3YXoR622K3bgDQ9pwRP2TC5WbYv97s2IwVU7heQNdwuJrTyKbUqHijmCIIQmRJpJTTEAT4+FGNtKaQUiU+eLjP3HiWtK7waLPFO9fHj/28//QnT9hvRM/Sx49rLE3lebPfin5xKocgRB2bZ97JYtpRp2XXC6J/G8vgeQEbe13yWY1sSuHJbidOfihktH5BeeQTX54pEIZRUdZgf/Noo8V7N7U4UdFyPFZ3Dsb/480Wb14dO/v3V+vFHXPqbYtMSmF67HwdsZ8Xw/PTWX2gCQkJF2c4TlJtRuq6Z+lEdjh+cdqc+axoisT1+RI79R6KJLIwFSkVL00X8P0mG/sdJoop9psGn6zUmSilcRwfQYi6/siSyOLUyerGx91Xz4zE2hRZRJGiTgUT5TQfPapSyCpUmyYhUeHJo40m796cOPZ81abFfsMkpcqkUzL5rEo5r7Nd7eL3E9xlWSIIQoIwRFMkPD8gk1LJpRUUWWSilObaXHEkaWeqksbzA3qmSz6rnimxP+H1ZLduICAgCgLVpoXv+Uj9JMlG2+KDfocK2/H5zofb/PmhwtGTGNjUjY7FeClFq2sTEhWUKrLIo81WLBz3ZLfLz//4Mt/+0TYA33hnhrtrUSxUlkRmx0ftgXrbYm9gT3cdNve7sdAhwMZeJ+oek9PihK0rswV260bcHefJTodiVoufaUkUuLlYZnWryVbVZaKUwrQ9tqsGV2cL7Deifc1hlfLXyX5J+HwxyEMB+HSljiSLEEZd5HwvIAyjJOlBYfLmXpdCRiWbVnm02SKXUlmczvPHH29TyulUCjrf/XiHmfFcrFY9WU7jetE83zEdwiD6t6hzuMi1vtDZgE9X6jieTwjs1SPBqpF8l8kcu/UemiIRBtG4C0I4bjf/9tUxXNen0bGZHc9wfb5Ms2OzU4/yGG4sFqm3bVRZitfkzzqJLyHhaXy8UouLn7b2e3z8qDpiH/6p9+Z4/+4unh9wba7A77+/idBPf1vZasXduzuew/pulytDRZSr2+2428+T7TZBQOyLUxWJKzNFqm2zbyc/PblYUUSkIESVRa7Nlag2DQQhEoEeCEd4XoAii8xOZOn0HLLpo3uEn3xvlu/f28PzA96+Nk5Ki4pAZFE819ww8HcMBG8fbjT54q2JCxVEeH7kD4lzFNdPttOfleG1oNo0o++olHQMS3g+9EyXjd2DXL/V7Ta3ls6W6/e64HmRuJMkiggCl7bIabqSptmxCUOBXFq5lH7Kj1frmHZkJw6KeivFyzVf1VqRbwUO9qFnbUwwzEsr4tjY2ODWrVuIYrTa2/ZBN4Ff+qVf4rd+67f4X/6X/+VlXc7ngiAIqbaiNmJjxdSFqnw8Pzj17/Ocp9o0EQWBq7PFY9UmDMul2bWPVucf89mNtsUHD6vcXCgy/ZSW7ZEqjcnseJbxgapGGMbGEURFHaoqc2e5gq5KWLaP2a/U9/sHxm0dAUmSePvagdN3OHje7FisbrfJZ7QRA3b42GrTpG04VPI6S9OFI46bwb36YYAiiahKpM5sux7zkzkmSmlcL2phL0si1+eL8aIyCJgd3FvY/9yo3dzcRC4Kavd/gjCMnpXBTniqkjm2taSqSEc23QkvhmDoeQqCkCAICELomg71lhkHUSFKhAB4steh0bYoZDUkUaDRsWl2bNIpBdv1cfstrsMQZiayzExkY8OqZ7lYjkslryMIAo7rs1s3KWQj53ohq40kdFmOh+N6bO1FDpG5qey5nQGHE048/3wJKIef0zCMEliDIKRSSKHIl7PKNCEh4fKjqzILkzlWt9s8WG8mRRwJRwiC0XUwCGBuKocsCqxstnDcJpoi9W1inWJWw7RdPl2tEwawNJtnp9ql3rFwPR3X8/H9gJSqk9IhoytcmyuhHVKeub1U4fZShUbHYq/ew/Mj23C8mDqxIDkIAu49aeB5AVfnSnGg5nXnafuKhITLhON4rO91Y5XTMIQAWJ7Oc2OxTCWv0Wo7GKYX7V0FMG2fjuHGness12Njr0s2rZBNqWiKhK5F6tkD5325n1jjegG1lokoCowXU881wft5Yrs+9ZaFqohJUtBTGPbHjBVTifrnK8b3Q1a2mmxXe0yPZUb8QUEgMFnOYNguubSK7/ns1hwURaSS00nrMpIkkFKlI/65etvCcjzKOf1E5Ss/GH2Pf0Ef32E6hkPHcJDFSKHWsNy+j+rA3vGDcPhPfD9gfuIgaOq4B9ciS2LsY2h0LGbGsnGhy0ldMqJzDn1AeNTvcBJpXeHGwkFnk3bPoWs65DPaiFqeKAoXcr6fleflg014/Rj8lndX69TbJu/dmuCtq+OoStRZt9q2aLRNXNcjn4ls/52awdJ0Pg781NoWnhvEPsPBOY/zhzlDRVEQ2QEDpKHxNeBWX1Tl48e1gy4THMwRw35Kva/sOrz2BkF4aH8TEoYhIFBrmbS6Nq4bxAqch33XJzGwSfYaxkiXy1c5NuRjvr+EhIRRWl2bnhV1znjWBIIja2NwtvHv+4ftjqPzzuPNFu2ezXgxRbVlkdJkrs0V4hi243jcW28iCgI3F0pxt4vjOK64U5GjBLFG22Jjv0ujbY3EGGVZ4tZimVrLpNq0KOW1WEHYtD0anUjteFjIbmBPDeblwdwbhlDIqOiqhCSJcewzCMMj9lAkFmbh+QGef7BelHI6Y8UUV2YL/OjhflwYG31/AZ4fUsrp2I6Ppsjk0grTY1kWpnJHxPYEQTiS0D7MSfeX8PoRhpES9gAvCBjIpdmuj+N6NDo2siSRTR8d713Tpd2zyehKHGMc2NSm7VHK6azttMln/Lj7heP6B4XYIYyVMrxzI0pwLBfSFDIGyzMFBEEYGZfb1S5/9OFW5A/UVXIpZeTa4WAukESRqXKGpZk8ghAVq2iKFNsq3qFxk00pXJktYlgH48LzAyqF1IhNVG0abOx1KeV0DueBJbZ9wstieN4PQ/BcH12V0dVIGEYUhCNrw4P1BqIoYpgukiSyOJVnbadDJa9Fx/shHz7aJ60r3JwvoqpyPM8/3mxRbZqk9ShxcH4ye6SLlOcFZFMHYoum/f9n779iJMvyND/wd/W1a1q4lqEzIrWqqq6q7uqq7umenuFMk00S2GFjsLsEFvs2L/u0mCcC5CuBBQb7sCAxCyywIJeDJtnkiO6u1qKqslNUZqQIHR6u3bS8WuzDuX7D3cMjMyIzMjIj0z6gUOnh5mbXzO455y++//eFnFksizO4L4av4iQhb2r0Rx5bB0OsdLjjZO9CVWW++8LCsec/PIcP6yLr8yUmbkCr51Armw9cz6PgMJ45WRc4iaHtc3dnQN5UOb/y+RxTvyimtYQpToPrh/SGHromagR+EOIFcfbzUZQLBj95YxUQPDxDUzDS8y2MErwgYuIE6JryQMx78n5TFOkYR65UNGhUH612L0lk9T+AnKFkIrC9oXvssVEkRKN5yJx2pWhm7wnAdkOCICJRE1RFyhwxKkWD9YWH5/hxcgp3KwHlEcvrhzWbKEoo5fXjHMVT6pZ77TEHXZu5msVCo5DlLOsLwpGw3XeIk9P5n0f7oief+1HrMFNM8Sj4Jpw7YRhiaAqz1RwSEpom4brhM+fGoSoKM9UcUZRQsDTGdvDZf/Q1gx9EtHo2YztgppJj4oaf/UdfM4RRzHDi0e47FPMG9fLnq3M8tbsvl8sRBKKJVy6X2d3d5bXXXgPAMAz6/f7TupRvDe7sDDKVr1bf4fkz9cdu1s/WLNp9hyCdZn0UlZuTSJKEaxvdbAJ3MPG4cCKJcbyQj+92swBofbH0wCToQiPPcOLT7jt8crdDvZJjuzniV19eeihZ+9Z2j59f3QdEI+q3v7dGo2KhqQpzNSubSl+aLbDXnrB1MMIPInbaYxbrefI5jUpeKIctHmmsL88WuL0jlHwqRYN8upGPbZ//8PN7GVlmOPF45eLx6VnHDfjoToc4SdhtjXn+7IMTiUuzhUw1cK9tY7shiiwxXxdBaxTFfHynmykVjh0/ayDNN/IMJh5RlJAz1KxIZeoqM9UcrZ4jNoz0Vpip5qaKql8zzNYs0ZwNY0p5nUYlx62dPvf2hQtHu+9QKxrM1y3mahZvf7LPfnvCYOLT7Dks1PMsNArc2OyllqmiUCErEnNVi5lqjlrJRNfEcx10bdYWytzdHQCwUM/TH/lsHYxOLbarssz1e33aqVKN/KhZyhEULZ1SXmc48UVCNvPFFGju7g6z62n2bJ4/2/hUcscUU0wxxZeJCysVNvaG3Nru8ysvLnz2H0zxrYKqyjy3VuXaRg+Ai2tVdFXmxmaP3tBl4gQMJz5r8yXevDzHR3fbXL3dQZag2bdpD2wKlo7vx9zd6eNHCTlDoTNyma9blAs6tbJxqpJ0s2uzsTdkuznC8SLW5ot0Bi7Pn62feq1/98GeUM0Gbm4P+I9+ePaYzfLXEY+SV0wxxbOCOI7547c26Y88BhM/y+9tL+DtTw7QVYXzy2VmazlKBzr9sUcuHcyolAze+uggJVHCaOLR6juULKGaujY/Q2/kQQK1sknOUInjhE82OhlhZ2wHpwoTfNUIwpiP73QyEpTthp9KEvo242Q9pj/2jpHVp3j62DwY8le/3CWOE25uD1idK2b3b95U2DoYEcUJvaFHb+hl5J9yXqdUMIjjhIkR8uql+yXd3fY4E2nYa0948Vzj1DpPpWiSz9lMnABZlj5TFOVR0B953NjqQSJsu5FgkLroLs0ebbyK+lR34IIE37kyz4d32kRRQrmgs/4QFbxy3qBo6cJt6EQz9ySWZgqZ2v/hvva46I1cbm72xQ/SmCvrNQrW03H2rJXMTAVYUaRjjr1TPNuYrVn80c83eOdaE0mS2OvYzNcLhHHEezea9MdCtEVTZRJgfaFEtWgQRjGSDPsdMcQQxnFGQDp0T76zM6AzSOv/PYfnz9b53gsL/K9/dTsl3Bo8f+7R1OcXG3lupc7VpbxOMb335+uiJh/HiaiVF483og7r5rst4fSz0MijKDJbB6PM/ac3cqiXciiq/Egu30djkiCMGIy9tKb/+foTU0wxxdNBu+9wZ0f0GHZbE66cqX2hQY65mkVv6BFGMYauMPOIQilm6mDY7jsgHY9JAN6/2eLqrXamhrs2X8TQVTp9h195aRGAP3lrU+RLwE5rxG99d/2xr98yNW7t9NltTUiShCAdWpUkeP5MnZ3WOFNF3mtPePF8nShORP8wrWmszhczMavDHl+UJBi6QimvC/VQReLmVp84gWZ7Qj6nIkkShqZk58UhNvaGmUKkIktomkwQCFeD+brYX5dmTvQ/cxqmoXLQnVAtGoJ8XzIxdOWxB+pdP3zo+5vi64cXzjW4eku4bZxdKmOZ9+PiUl6j2XPopjnLytzxe23sBHxyt5ORFS+sVI4N7SzU84ztgHrZFE4VpkYpr1MpGmwejCCBetnkb3+5S2cg7tmtgxGSBJ2+iH1q6fM1uzb/3z+6xtj22TwYUy0azNXyLJ+4pmP9c1PFcQMOug5xHLN5MGF9vkS9kst6/kdhmdqxfObkvtIZOPzJW5sZSfKVizOZs7KuTeOXKZ4ejp6dc3ULSZJI2mOCIKaQ11iaLaAoEre2RNy/uT/E8UIkSSKMEs6vltAVlRfO1rO++9Dxszz53t6Qf/T99WzocT5VgA6jGNM4/Vz4zgvz/NHPNogTcX3nlyrA8TNpY29Eb+hwb29EnCRsH4y5cqbO2eXKQ3sXR3HI8wG4eqtNISfczfc6okaiPUZPozd0ubkl3q8kjbn8kLqA7Yb8h59t4Puijtofe7xxef6RX+dJoT6tJUxxAn4Q8fGdbkas1jWJwSTIBiU/LSevlkyWZgsiRpXg5Qt1bu8McdN9Yn3xOC9vaaaQ1REqJZNXLsxw7d7x3uejYmmmyN09EYPWSuaxPKJcMDKCsixLj8Ut8sOY//DzDexUtOLe3pDeyMvObNsNuXLm9H1GkSUWGvmstrHQyD8WB+noPidiZzOr4ZyM07cORvzle9uQwId3OsxV7/MZr93r8dxaLRvAafdF/edQ7OJkX3S+bqEqcpZHNSrTwekpnhxKeZ1SQWc4FvX6k/fys4BCwWSxked6Gt+cW6k/cwMcAPmcJnoxiRBTWJ979mKAm5vdrKY8tH0GE+8z/uLriIQPbrUJwhhZGrM29/nWxFO7A8+ePcv29jYAr776Kv/6X/9r3njjDTRN47/77/47zpw587Qu5VuD/vj+je24IX4QPVSN72EwNIWXzjfwgghDUx6q0vtp8MM4IwwAqZVPcsyO6LARdIje0H2AbFXIabx8YYZffLRHPVUKIIHt1ujYEMchSUWSpKwAKv4d7h2MaFQs4jhhbaHEbM1CkkTx85O7XUA4TqzNlVieK/C9FxcJwghNva/AkSQJtZJJ0dIJo5icoWbvZb87yQY4QNg9v3JRkG8AZFmmPXCZq1tEUYyiyBx0HRZnjjerZ6sW5YKBpkgszxRw/YiCpeF6IYWcxsQNswGOw8/0EJah8vKFGfF96+qxwZ0zi2XmalaqxiPcSB63qR3HMbIsE8fJVMHzCeLo55kzVF4+XHe6iiJLdIYOF5erIImJ97WFIj9+fRlZltlrTyjkdM4uanSHNitzedHsDWN22iMsQyNOEvoDj0Ypx2jiUy2azNfzaIqMZWoossTSTIGx43F+WQwWdYbOA2SoMIwZO/79qVRJzlxrHgeyLHFprYrjhcL2W/1ig0RH14DrRXh++NgNouk9PcUUUzwpXFip8CdvbXJzs/dVX8oUX1O8cXk+U7cv5YVyTX/sEccx87UcYQRXztZQJRldldk+GKNrCnECB50xZxZLdIceB11oGCoFS2embLI4W+TXXllEVZVMwfHo+dYduSRJksXmtheiO0E2sH0Su51J9t+2EzAcuzS+5haWJ/OK/sibDnFM8czCdsMszi3ndaI4JgFcPyIMI6IoIQxjcobG/+2/eJX9to2mKXSHrmjSRjByfHw/xPYiSkWZQurWYxnCpTFJkixutt3wmOJqe2A/8hDH04ylbTc4pmLbH3nTIY6HIDhZjxk/iwXQbxZubfWxDJU4AVmCW9sDfuWlJQBGTsiltSqeHxJFCZvNEZWCkZG+X744QxjG6JqC7YYZieBwn0iShCgSzhinEScUWeLyeo3+yKWYN47VuQ7rWifX8mEN6CSiVLl5MPYypesoFE4AyzMFJFkif0Kt8vxyBbshlD0NTeHccgXb9akUzIeqW8uyxHPrj1Y7mK1ZlIsGURRn+9rj7k1HawskYs08zhDHF9kLVUXm+TN1XD9E15TP5ag8xdcThqYwcUWdSpZEPfaTe13WZos0Krl0sEpGkmU0RUaWJPwgpjt0KOUN1heKhFGCqSsszQqn6cNhjsN9PU5ibDfACyLOr1T5v/zuSwwmLnPVPKoqnbqWD2voh+TKcsHglYszBOHxencpr/PyhRmC8MFa8yGWZ4s0yjmSJCGXrr+jZ85sNc/KXIF6+dHEhFz/fkyiqQqNqsULZ+ufuz/xVWFaa5zi24aj52gcJwwn/hca4rBMjZcuNPCP9Ek+DUdjmrNLZebrVhZ3HMVua0KcJGKv8SPGToChqxk5y3bDLKcCaKYkb1mWj/Ufj+JwvYdhnMU1YRgjITFbtZAlMbzxg1cWmavmsEydj+50susOo5ixHRBGyQO90qNDDoc9vlcuzJAkCZqqcHunD0ClYJA3NVbnxfly2Ps8iqPfURQnXFitoirSsdijXs5l/U9TF5+dqsi8cLaB7Qa8+bws8tC0r/QwHP0sDjGaBMdrNmPvgSGOk/3jKb46vHxhhvWFEnGcPOCaMhj7LDby1Eo5Tgvle0P3mNp0f+wde45yweDlCzM4boChK0RxksUf1ZJJFMWossTPru5lf3PQmXBptUYhp6ccAfECG3tDwijB9SN0TRZE8bqVkSQPccgzcD0Rlx2uwVLeIGdorM4XHujXH13zJ/MZuL/2N5ujYyrXrZ7Dr7269IX4FVNM8XlweHa6XkjO1EiSBD+oE8cJuqagawphGGdx/+bBMNtzVUViqVFktpojZ2iM3QDPC/n3P9vInr83dHG8AMvUkSSJnKHy4vk6QRhnZ/XJGPil8zOszRfoj3zmaxZ6erb0jp5J6d+X8jr9sU8UQ3vgMFfPZ1wd4KHn8NHzbTjxUWQZTdUJw5iJEzyWW/fRPCZJhFDFaXWBVs/OBjgAdloT3rj8yC/zxKBMawlTpDjkpE2c4Jgyfm/k890r89hugGUK3pB4/PG1ehiD/fj1FVrdCYYp+GleEBMEEYoiH+PCgRj6ePnCzDHe3PmVCsADAhAPw2HMOFPNUS6IGPQwhzhc87Is8dxaDdd/fG7RcOxmAxwgarGVgkGcJMiSxG5LDI09LH9fmStSL4k9xMqdXiM8Le6F4/uc50ecX66wOFM4NU7faY3vuwkmcHOzRyl1MgvDmHv7w2xIy3ZD/PC+0MdhX/TwPbl+9Fh51BRTPA6k1K3S8UJURX4mRcPDKOb7Ly2xNpcKGcxVn8kanqkrXFoRPZZyweSg71EsPluciO2WjaaI7U8CPrjR4p/+8NxXfVmPhYOuQ6OSEzxwWaZ1Ig99VDy1IY7f+Z3fYWNjA4B/8S/+Bb//+7/Pj3/8Y3ERqsq/+lf/6mldyrcGeVNjZAv1O02V0T7nxqkoMtYXCPY1Rc7UJiZOQG/kkgArs0UWUneLvKmK1ZgI15Du0GXihFxYrZAkoskdxjEL9TyLjQIbu0OSJKE38sjnVH55o8nF1SquH3FnZ0CSJKzOl6iVTLYOxsRxzN29IcOJzwc325xbKlO0dC6uVrOmspVTs89LUSRqJTMNAO+/93bfydwK1hfKzJywfquXRGH0sDBVK5nc3R3w8w/3iOOEly7MUC2ZbO6PkNPAsnGKetBg7HFru89Bx0aSJOplYb2aMxRubfVp9Wy2W2MW6nl0TSGfE9/1zU3xOc3XLFbnT3cn+bxF8+2DEX/zwS6eH6aF4BK1ssm5pfK0oPoF4AcR1+/1cLyQckHnwko1VU+6v+62DkZ0hx7tgUutZJAzVAo5jXeut1BkCUNTAZ/u0GGvbdPuudzdHTG0fSZ2QNFSCWMRzL9744CSZdAbeVxcqVAq6Hx8t0t/4jG2fUp5nVZfqDVoqoyuKlxarRJFMX/69jadgUMhryFJUpYcVQqfb3JbkqQvbKl+iHxOZTAW6/dxA0XbDbix2cMPYuplk3MpqXaKKaaY4vPisEAl1EemjccpTke5YHBnZ8CNzT6GprC5P+SdT5o4XkC1aPCHf3NHFP40if7Qw0sbAuWCzii1wyylBMycoWIaGuW8zicbPSRJqOE2e3Z2viWJUOodTXxkWSJOBBHM0BTUh7hq1YoG+x2h9KKrylNTov4iOJpXAJ9qdz7FFF93mLpKzlBwUhJjvZzD8UPe+eSAZs9BkSWKeQ3bD/lko5OuU5Xd9oT+0COKY2aqFgmClKOpMtWSSX/ssXkwJAwTVheKvHC2zlZzzMQOOOjZ1EsmH9xq44cRza7Db35n9YGmwiHiOOHWdp/+yCNnqFxcqz5Aknrin4shCKSH5J+TRPEp7kPkRjJ+qvqbf0L51xSfHytzRT660+Xw6D2q4FouGHSHLkEYo8qimbB5MEJCYnk2jyLLKLoMElhHlKEUReLOzoAwiikXdF483zj1tcMw5P/1v3zExt6QvKnyez8+jx/GRHHCfC2P64vBMdNQMDWFd643RS3rfIMXz99X8n/ro33+6pfbJHHCyxdmsqasokiU8nq2B5x2vx2tAVimeux9PAyPUzswNAU0RTidbPUYjH1ypsql1eoj1QnyOS1TyDv8+VHgeCE37vXwgugL1cpk+cnVSab4eqFRMbl6s0WYkqdWZvI0Kjk0VSGX01CGLpaugCRhmSo3NnsMJz5eECGRYOV0zi6WeenCzLFzdjjxeefaAWM7oFwwkGTRSC0XDEoFnau323xws4UsS3z3+YVsOLMzcLi7O2SvM6E7dBiMfGolk+fP1nnxfOOB+/dkjfw0dEcu280xiixxbqlCIafhpIOEsixRe8QBDhBrWVXvE0RKef2ZWhtJkmQuKYamcHGt+rncgaaY4llDPqdl7oGHP39RqIr8SGTE/c4kVemXOLdUpnpCvfcQUZwwcX0xsCGBLEPOEI+rlAySJGG3NaIzcAmjmHo5R61sIstytncmSSoSlwpGbO4P2WlN+PhuG5BolHP8+M0V4YKY1xlNfKI4Zqc15q/f26FaNPiNN1eQJLIYrlI0eOl8Q5DqJIiimO3mmLypkQCXVqsZCfzk+8qbGsO0N6JpMvVPcSTL57SM6Koognx72v6uawqDsZ+R3NcWSvRHHq2eQ3vg0CjnqFdMLqb9rKOwXZ8//fstBmOfRiXHT95czVSY87njNZuT8eJee8JWc4ScEuYfh3Q7xZeDcuH076Bc0NE0BVmWRd9/6PHe9SbnlyvsdSbsNMc0+zbLM0U0VX7gu+4NXf787S1sL2RptsCPXl3K4o/DmB7AymkZ8bJUMDANlTCKuX6vS3fkcmdnyLnlIhMnwHEDxnaApsi0ejaX12vHXtP1QxFjjX36Y48oTiARsdknG10+vKNRtHTOr1RYni2gKQobewOhartQolHJHVt/d3cHHHQmXLvXYzjxOOg5rM+XyBkq1ZLxhfkVU0zxeeAHEdc3ezhuSKmgc3Gleuy+/fmHe9za7qNrCjld4dpGD9sNWF8ooWsK2wcj3r/ZEmr9jQKKInIOxw+RkQjCiH/3dxuszpUo5nUmToAkSZxdKiPLEh/e6+H5EZWiwYWVCpIkMXEC7uyM+OWNJmMnYLGR50evLVPIafSGLrvtCZ2hi6aKiUdNk5FlKOaNtHch1tFpZ/0hjvJ8coaKkQ6KyLKEaTxenTJvarS4Xxd4WN2iUjRQFCkb4KqXvjql+2ktYYqP7nT45Y0msizxyoWZE5w1A8+Ps4EARZZ4/0YLL4iol02qRYM7aYy7Mlfkw9tt3r3eRFVkfvTqErIsYaS9gdPWw+GA2CEedXhjMPb483e2GNsB8/U8v/7a8rHnOrrmzy6VH3DneFQULB1dVfBD0WOZq1nstScpAV1ifbHI1dvtbN+8sFI9NvRwfaPH29f2AXjjuXkurd93ufbDmD9/e5NWz6GY1/kH31k55lxWOBJ7q4qMoT980KpRNrm1df/nhZk8E0fUVCSJY2J1uiZEQA6R0xV2W2PGToCmynzn+flHzqOmmOLz4Ely/b4KKLLEv/+7u3x0t4MkSbx6cYbvPP/03bS+KA66Nldvt0kSKORsZqrPnutOo2yynwpqIMP55UcTFvw6oZEaEWQ88PLn+x6eWuX493//97P/vnLlCv/u3/07fvrTnyJJEt///vc5e/bs07qUbw3Or1TYbY+J44T5+uPZej1JyKnSn2gKpaoxiSCm18smuiYIYReWK+y2xnRlKbOM39gbQkI2KbzXnvDCuTpvXp7n9m6fnKmxNFPED0RB86jy7r39Ia9dmgVJ4oObTWolE1NXaHZtZElc0739YWaNtjJbRFNkXF8EqycPnDhOuLs7yILdjb0B9bJ5rEBZLZn86NVl7uwOKFg6L51r8G/+/GaWvL1/s8Xv/foFALoDh6XZwqmKoRu7Q6IooVY26Q1dipbGYurI0R26KIrMfM0iihLm5y2WZgp8snHfEm+/Y1Mv554omeWtTw4Iw5jB2Ge/Y2c2tbWSmf33FI+PndY4c7IYjH3afeeYra7tBuy1JyzU80RRjO0EvJQqxZAg7pOKQSEvyJ8LjTwTJ2Bjb0CjYrHYsBg7IeW8StHS6I08dE0E682+g64plAo6rb5DIaczU8nR6btUijozNWFnfNC1afbszLJ4PAlYnMmjq6Kh+tIRMsdXhXPLFXZaYr+bq1mPlZBsN8cZqakzcKmVXaqPmFxOMcUUU5yG9YUSqiIzSvfQk4pyU0wBQtHpUBHOCyKu3mwjSxAnCXd2h5i6TBQDjvi9JEmoiky1qDNbszBUmbPLFWwnIIgS6mVRiE0SQRp6+5OD7N67uztAkWXqJTEYrCkyszWLoqWz0Mg/lGT4w1eWeP9GiyCMeW69+lAS99cJBUvnwkqF7sDFMjXm68+W4sQUUxyFqsr85nfWuHqrjSJLvHyxwR//fBNNlSnkNGQJxraPjISmKQzGHjutGFWVcH2huKdrCrNVi/maRQws1vPc2Rtk8e/2wZgwFOpWsizEDHZaY+LUgbI/8rh6q82bV04vYLYHTtaIcLyQ3daYM4tfbpHN0BSeW6vS7DloqvypFvDfdhyqlO11JsjS41nNT/Hl4CdvrOIFIfd2R6wtFvnJG6vZ7yoFg+W5IuOJR97SQZLoDlwURWJlTtSPbDegVjaPDVbGsSBRBWFMwdLx/OhU4t7PP9oXdTZg4ob8mz+7xT/+gXBGvnavi2Wo6JqC60X83Qd72SDk+zfbnFsuY5k6URTxl+9ucSig/P7NFv/sHz6H50WU8gZFS/ta3G/tvpMJPThuyM4j7k2zVYskEXtruWA8cm1g62CUOeZ2By71kvmAWvEU324s1HLMNywmdshMNUfeFOv9+y8tsrk/pJMO/tRKJmEYc22zh64p9MYuJILAlCTJA+u72bXRFZkoTrDdANsJ2dgbCpVpP+T9m62sfvjWx/ucXSqTJAl3d4eMHZ+91pjd9gRTV4jimM0DkWssPebZ6gUR2wfCETuKEjb2Brx4fgZVEcJOM9XcYw15KorMc2tVDro2cuoe/CzhZK63dTDi4mr1M/5qiimefczXhfP9xAkyN/ungSCM2NwfAWR73MPO4VbPZnmmQBAkuH7AqxdmMA0V01B55XyD/tijO/R4+eIM9/aGFHIav/HGSva8h/3Hjb0h9XIO1wvZ79jstke0+y6aKhT6P7jR4oevLPEbb6zwwa02G3tDZqoWsiQxGPt8cKtDydIpFYRKeCGn4QUR5YLBxZUqH9/tUMjp1EpG1qN5WN6zPFtAkSUcL3yAZH4S55bK7LTGhFHCfN166IBeHIu9/LAf+sHNFgVLpztyGU18JMSAX6vvMFc7Xnf54FYni8PafYfrG51sINgyNS6uVOkOXUxdyYT+QBCPtw7E9xgnoh/76qXZh76XKb5aWKbOT95Y5b0bTQDOLpYJwpgPb3dQFOHKV49zRHHM+YXKsb4nwDvXmthpb3SnOebe/ujUeP03v7MqBlIliZfON5BliU82ugwmPtWiiR9G3Noe8tL5Bjc2e5iGRr1ksDJbpHpiCGinOcb1Itp9h7ETMFfLEUTiXisXdHpDTzj6VnJsxsIVR1XkdP0PUsFFUUMdjMVQU7PncNC1MXSF+ZqFH0R874V5nj9b/zI+9imm+EzstifZIPVw7B/bpw+6Nre2+gC0ujbNnsPZpRIHXRsvjLiQCqaO7QAQzkmHwg5Xb7cJg5hK1cLzY5p9m1vbfc4vV5Ak0nVkZEJU/ZFHd+hSL+fY3B+x2xrTTAUT+iOPd641+Y03V/nQDVAUiZfO1Rm7IY1KSMHS0FSZc0uVrHchXENGkPY+7uwOeP3IWX+U53NhpcLEDfADkYc8bk9jtmaRIOoCleLD6wLlgsGvv7bMza0+lqnyyoXpmTXFVwPXD8V5nOb+799q84++f4Z238HQFRbqeToDl+HEo5jX6Y+8rIbVGbhst8bk0nXywa0271w7QE7X3c+u7vH7v3OZ7sAlZ6qZE8STwC9vNNP9Rgxs3NkdZHnzyTV/d3fwuTlppq7ykzeXubbRQ1NllucKvHutRbNnk89pRFFyfN/s3e/rh2HM29f2s5j47Wv7nFsuZ64b1+91MzGY0cTn/RttfuWlxey1zy6V2W2NiR6Bw3R+pUoQxTS7NrM1iwvLVT643WZs+5xdLDNXtzJHwYV6/hhP0Q9jSnkdSZYwNIUoih/6OlNMMQX0Rz7XN7vC3Q+4eqeN53kYxrMlInB3d4AsSSRSghuE/P1HB/zmd9e/6st6LPzo1XmaXZuRLfKzly8+e/HU0kyB77+0yNbBkFrJPCaI9jj4ylg4CwsL/PN//s+/qpf/VkBTZdYe4sbwtDBxAtopUXx9oURv5B2zWDvipEq1JAY6uiOPVl8EOqauEEYxnYFLFCcsp0XK2VoOPww56Nr3n+uoL+uRJ3/xnFAgfP9GC88XwdehRdzRP5Fl6TPJH8kp/93s2jheSKVoUE4b7stHBjOOXdeJa3oYbD/k7z7YJfBDXjjf4MxiGdNQMxI9iMlGWREFJCSJE+/+2M9jJ6CTBulzNevzKYLHD35m4ueTrzzFp+F//5s7tHo2L1+cFUNGJ/Bpn+bybBFdlylaGpv7Q8oFoUAhI7FQL1KwdGxXWG7rmkLOUNE1lcWCyVzdotm1AQlDFw3UvfYkHfoIGTk+BVPD0FXqFYVKwUA5cp+c/JrzpsZ3X1hI1ZdsLFN7wJnmaUJVPv9+t7k/ZLc9oVo0RSFrektPMcUUXxCaqrC+WOLWVp9b2/3pEMcUp+PIefPJRoed9hhNTZVRkgTbDQkjEetpioRhaGiKjCIrXFypsjiTZ3m2SG/kMhz7GLrM5v44e874xOGdIOLHeilHtWRwYeWzSUQJEoOJj+eHx+yXv+6oFs3pQOYUzzRGtk934GIaKroqszJXpGBpWKaOmipYhlGCKsvkDZ3uyBP7hywkTVVZwTQ0coZKKS/Uoy6v1/jrD3a4vTdAke43CxISgijOcvBq0aBeNgkekrc/gAfywyf3OXwaCpb+TLgDncTJ+sHTgJk6Od7a6tMfeyzPFhjbATlDfYBIM8XTwe/8yn0hm+7A4e+u7qHIEmsLJdbTvNb2Alo9h8WZghjkVFUUWQx0yidqOpIknHoOMXEDBmMPXRM1oMOmXhyD74e4QYQiy+iqRGfgEMXCOW4SB/THHoamPBBH9McerZ6LrsvEiXD6BMiZCvWyRU6/T87+sge5HgVfZCuaq1kPkBGf5us/CsJI1HSSRAj3PIu29d82KIrCc2v3yXwx4pw9u1TO3DEOv9fN/SFBGHF7Z8DECZipCMLgbmfC3d0+L5xrZO64sixRzBs4KVnqKOKYYzfj0RpukiSCDHHk8Y4nxIOGEy8bmuiPPAZjD8vUKOY1rt5qE8cJz5+tHzuHT9aHk0So2p0mXiSuLWG/MyGIYmYeQji2TO1rsZ98Lkzr51N8SyFJ0lOvgSWJ2E+aPZuipZEzNMauz729ITlTPaZYewhZljmXqjvO1izWF+73FSZpjJM3NWolQRDf7044t1Q5dS0f/kuSiGESL4jI54IslipYOt9/aZF8Tuyh2d+l8Vej/GBPRVEkFFk6JsznhSFvf7JPGCVcOVundGQPlqTP7m3ef26Z1SN9FNsVMedh3PhHv7jLftvm8tn6sZjzcID3wf3+s/e3+MRDKkXjVIeNT+txTvH1wNgW7iyyLPHi+QZzNYtfeWGBtz7a59ZOHz8IkZAoFXRWZouU8jr1svmQ2PrRvuGSpfPDl5eO/dvybJFKoXv/mZKEmWqeIBJChHPVHEuzxWO98HbfYbc9IQzjI68s0SibwmVnZ0h36B67N5P0kUEYMxi73NzqZyraVjpUm9x/MNWiyXw9/7lJO1NM8STwafv0g3t2giLLLDYKFC2NIIwYTYLMXT5JV4Gpq5xdLONHMaN0SC850So47Tg4/LcojthujugMhKBkkv5OVYQwy6HQjJXTaVRyWX704BOK/xuMPWwvxNQVKum6kyWRGymyJEjasyIP8f2In751D8cLefXSbPbvn4WjdYFmz8ZxT6/lLTQKLDQePIOvb/a4drdDo5LjByf2sCmm+DIQhTHj1BmnXNAp5cX/DrHdHLG5P2R5rkDe1OiNhBNw0dKJ45j2wCGJE5DSQkF6hCZ8er8tjhP2uxOCdGjqs5T5P7zV5vZOn/la/oEY8eS+EgQx/ZELkkSj8sX6fY2KxQ9fEWu6nQ63Ha5xN+UQPgyncQTv/8ODfdijUE/E3l4QcdCZIEkSC438A0Mdl9frXF6/Xzs6ySdbWzidD5UkJ/oln4cP+CWhM3AY2wHFvD4Vh57ia4U4jknn2fj6rJjHQ5JAmIrKI0EYPztcjkPousHlM3UcP6Rk6U+tx/ykcbTG/3nx9ZdSneKZhRdEfLLRzZRp/CBifaHE7e0+SQKLM/kHFLh0TWFk+4IY3ndYrOdpD112W2NKeR3HDbl8tsbW/pgkSbLJ3Fo5x/JsEccLM7eM5blCFvRcWqmwdTCiO3CplQzWF4ooisTq/KMlaiASv7X5Evf2hWrh2rxQJjhUhjno2Tx/pv6A+8Wbl+f4xUdiOvf5s/WHWi4exV+/t83G3pAkge7I49dfWQJDpVo0KRccukOXvc6E+ZrFdnOM7YaszhW5udUnjhNmqrlMMdH1Q66d+B5WPwfZ/bXLs/zs6h6lvMZMJUfB0j9VfWCKB/E//ekN/v7jAwCu3+tRyKmszpcYjn28IKJgaTQqx4v2lqkxWxMDGLIsISPR6jlIksTWwYgziyVMQ+OgaxPHCd2hh6qIJqksyxTzOkszhSwhs90Qz48wdWGz9+HtFnd2hnhexHDssb5Q4srZOiPbx/UiLFMQe2plk+3miMHYp2BpvHi+znDic2Orl2UjSZI8cySgG5s9Ng+EPfpee0KloE8tuqeYYoonggvLFW5t9bm52X+g0TTFFHC/af3X723zwe02URwzHPjkdOGe1R54IvkmoVrSAZkkgaWZIjlTZa6WZzD2uLnZz57TMlVsN0SS4PXn5mj1HMIoZmWuRJzEjCbCSvdRlWz/5z+/mcW6t3cG/F9/9wVyuWePND3FFM8SbDfg2kaXJBGiCK4fUi/nOEj5Cc+tVfn7j/dJkoQ4iVF1CStS6I18LFPl8pkacZxw0LXJmxpLM3nOr5T5H396ne5QKELLksSF1QoTJ2ChXkBTZbr9EUEUkyQJP359mZ/+/RajiU/R0nnhbO2h11uv5OgMXEa2j67JLDamg4sPw1578pn1gy8DY9vnp3+/SRQl+GHE+zdbPLcmvtMoTo6p307xdBFFEf/DT28wmggSxObekO+9tIjnR9TLOeolk82DEZIEC/V85qJx8v5ZmS1y3ekRRjF5S2O3Nc6K3X4QZQ2+y2sVYsD1I1QlZqFepTv0SJKEfE7DDmO8IEJVJF48W2PzQDzP2kKJ7YNJdt2NismNNP64sFI5NsDxdUGjksuahIamfOn3+fJsgbETEIZxWiv7cusK1+/1mDiiJtofe7x4rvH5BFumeGp4+cIM7b6D44n1fWH5wYHqm5t9RrZPb+Ty4e02thsSxQlRHBPHsDxX5NpGD5AyZfLXn5vjZ1d3yec0qkWDgqVl9W7LVHnhXJ0Pb3ey/AAE2XdtocTG3pC5moWmyOx3bGQZDFWhP/IYO4K8dbTut3HEyWunPeGf/vBspj5p6ioLjTx77QmS9HBiwSHu7g4yp4p23+Gl8zMPVYN/FnGY6/VHHuoREtkUU0zx5LHdHLPXtlFkie3mhPl6DpAyAbg4To4Nlsyk+cvECYQy8YkY4XD9Xt/ocn2zR71s8vOr+8iSnO2dAKtzRRRZopAT4lZj2yeKExRZwnZD5mvHn/fyWpWtgxH9kYeV03jxvBB6u77ZE27rZZNywcjywShO6I89ojgW+//dXrZv7jRH/O6vnc/24M8LP4j4+O793uF/+NldPtnoAXDtXo9/9P0z5NJ+5ovnGvRHHmEUEwYxtZJJwRK9wpN44Wyd3fYE2wmoFA0urT2aE5GhKSzO5NltpWfJY/Rvp/jyEYYxf/zWJnYag7b7Lr/z/XUkWeLGVp/uwGG/M2G+nmdkB/hhzPNn6g+tQb5ycYY/e2cb34+Yr+cf6/ueq1msL5bY2B2iKBKvPzfLR3e7BGGMH0TIsoSu3a9/Nns2G7tpLtWdUCuZ6SCs6Ac6bsB+d0IYJYRhjJrWTjVV5t7ekO3miHLB4N1rTXRNTodIBBExjmNaXRNZBl1XeOXip4s4TjHFl43FmQLDiY/nR+Rzx/fp+Xqe9fQsq5VMFhp50UsAcjkNNXV1CqOYmarF4hEXjNlUJLSl2QzHPjPVHGeWSjhuhCQJd/p8TmM08QnCmFLhPlm31XOyM6QzdFlfLGX5TL2co9P/7LqiGMwo8OHtjiCMhzEj22d5tsDEEUIle21Rt2j2bF4818A0VP6Xv7rF3XT9394a8F/+0xcoFR69v7HfmWRuXwc9myvrtc8Uldk6GPKHf3lLENTv9XD9kN94c+2RX3OKKR4XhqZQzOvsd20kiWxY+RAf3Grxx7+4B4gY7/J6lYkbEkUJYRRTLxmib5DAQiPPixcafJQ6a/3aq5/e3763P8ycKNoDhxfPNR4qNHJ9s8e//bu72XW8dmmWnKHgeBGNSu7YdSuycBrvjTwkiSdK/q+VTNoDh+HYR1NlLq3NsLE3PHXfVFWZVy/OZs5jr16cPRaDX1qtsrk/opfG+C+cf3gcEMcJ1+52MxeUiRPw3PrD+y6Pg3o6lDqc+I/VA/6y0R263N4eAMIN6sJKZepcPMXXAtWSQblg0uym4nY165lz4QCIs7FziMKEiytPZk95mtAU4fAZhDGeHx0TrPi2YTrE8RSQJAleEKGpyjHllG86bDfIin8g1ETXFkpUnpsjSRKUU6zCXD+kUc5hGaqw+JJEIbFoaczV8qiKxH5bWISFUcx8I89sJceZpTJ+GFPWDF483yCJE3JHpnx1XeUfff8Mrh+iqzK9kUfOUB+YBPb9EMePyJsqYZygKTJBFGff3VzNopwmdqoic/3efaUPUpLNSRLG+ZUqqwtliGP0E3aNR++NIIxQFZk4ThiMvEzFAyR2uzYXC6KodGmtxmDsIUsSYSQaeb2Ry+p8kdcuzRKn6giuH2JoCrYbnvgegsf6Hg+xvlBmeaZIGMfCgi21kZ3i0bHbOqqODbd3+lxcrfHShcanfp7rCyWWZwvIksTV20KtaaaSo1YyuLxeZ7s5IooSGpUclYLB4kyBYkHj9YszOH5EKW8gSRIXVqr88OUF/u7qHrqqkMTQG/lUizqWqWJoCjOVnFD6hKzYaXviXvrt763jeCFFS0eWJXbb46yRG4Yxe+3xIw9xBKEgiOnpvRSEEWGYEJMcO5TDKCaKkwcGvp4Umj0bXRU2xwmQM9Up8WGKKaZ4Iji/UoGfwa3t/ld9KVN8zRBFMUEk4qmLq1Xe+mgfy1DxwxhNUZitW5iaQqNiEicyigKztTxXztSQYgjjhLW5Io4f0hkKtZyEBEkCTdV5/blZkITq1ELdwgsiLFNDkiTCKEaRpbT5EpEkfKpyc7N33/XO8yPaQ5eVnH7sfI5jQQrWVeWYfe8UU3xZOMzZipaGLH+z8pEwiukO3Yx8PbLFsPehwn5/7OOHEb/+6hKOHyMrsLEzhCKszoOV0wSZRxa5oq5KqJqKkzpkglCXiYEfv75MztCQZYl3rzVZnS/ihxGmrmLqKr/7a+ew3fAzRQgUWeLymdqx/eULfQZhzMQNyJvaFyYlfZ2QJAmdgUMcJ2KvTIRj5mcNcXhBhCxJX4jY2hm4RNGhqEOcOSiAuMcWmA5xfFUYOz6jiZ/VbPoTn+fWKvhhgixJOG5IrWSgyjITLySIYvwgJKerx+pP+ZzGq5dmiOKEke1zc7OPH0YossTI9rPX640D3rw8x8QNMDWZIIIzi0XCKMFxQ3JlFU0VTh/1co7XLi+QRBH9ic9uS5AhoiRhtprnUtoQ0HWFKIqP1fjGto8sy1immuX7hqZ8Kbn2yZqr7YaEcUzJ0rm8XsN2Awxd/dLrV5ap8erFmadSK0uSJBvgAHC9iDBK0NTTP18/jHG+gfvqs4ZK0eQ/+fXz+GGMqavYro8fQs7QcL2QGOiPHeJYotl10FSFoiUDCUmSUMwb1EsmUZwwtH38ICJOEtYXSqzOFYnjGEmWCMP4WHz/ysVZrqzXQJaREaq1h+ryBUvn9UuzJMD1e10GIw81dfiYOAFRHB+TkTzo2pmYj50OmuqoOG5A0dJYmStmRK/DvCCMYlwvxA8iTEPBMkXNb3zkHo6iBNcP0dRvTpNOkiQurlafWHw0xTcDh7nzt61P+KRwGFOcrD0cxjr1co5q0aSU1+mlRFFVkRnZ/rEhDkWRef5snSCMUZXj6/PwNS6sVGgPHObHHpIkEScJ2wdDXr44y+UzdSxdORb7nFkso6ky+ZxGEEWosvxAfeSwRzmyffKmmu23r14UPb3D+GE0CfD8ED+MWahb5C2N58/U+fD2fRcPx4sYOz6VLyiw5njHe4fbzftDu1EUs9+b8J/9+KL43GSJ+brFxC2kvZr7OcrJ+lLB0vmPvr9Od+TRKOceK/5Yni2yUD9+lnxefJNrB18FbD/MBjhA1AyDMKY7cCjndYIgYjTx8IKItbJJrWjy8oUZsYZOqR02Khb/9AfrDO2QRsVElmXc9N7P6Spxcr8vGISC7Oj5UZZn/PDlJd64PIcqy/THHouNAnO1GAkwdJUrZ+rESUIc3xeENDSFM4tlFhp55qo5Jqmy/h//PGZpJk+UgJ46Axy6iZUKRua00+47mbptb+zz+nOzrC+W+M7zC+n7k7/Ue80LRI5ne4LrYOpTms8UD8LQFF4630hzxAfvxx++ssQbV+YIvBDbjzANlYnrs7U/Joxizi6VKRfEAN79PkJMkojB8nClgqGrmeuF4wbESCiyeO1XTsmL232H2arFwkyBOEr4lRfmKRd0kQMo8rG6YpKQ8nmOn/dxLAYeV+cL6IbC9v4IErEvjO2AKOXMRCm/Z+IGmIZKM62HAnhhRLM3eawhjqN5CwkMJ352rqmKfGr+v9UcZQ4DcZKw1Rw/8JhvA6Z9oyePw/rOydgmCGOWZ4vCWeKUOvJWcwxJQpSAIsFB1+Gl8w3iRLjxjGyf9YUSSZxg6Co/eHmRH764gKaq5K0Ha9dH6/dj+3hu73jhQ3uO2wfDYz/3xx7/8Y/OYbtBxmfK3lMkXEKUGQlZEk51WQ1QkU/lGh7tvX5aDi7LEpdWq8dqhp+2bz5/ts6FVTGUrKe/d/0QVZHRdZXf+f4ZBmOPgqWhqcpDa6FBJMRzgjBGkjhWs/2ikGWJ59aP92gelj992Tj6PZ18j2MneGCI4yhvbIpnC4fr4FnkjY4dn7NLFfI5FUmWmK3k8f0I/WsoVvVpOOqeaeoKv7x5wNnlyld3QZ8Drh9xYbmMF0bkDOEUtfwQZ+evM57EbMA0u/uSEUUxn2x0sd0QVZV5bq36mRZi3xTkTQ1FkTKywKG9oAgQTr9hc4ZKs2/TH3p0Ry6LRoFKQac3SlAVCUNXmKnm+NsP9giCGE2RWV8scW9/RLNrMxh7SDKULIOFRv4By3Zdlfmzt7fZ70xQFIkfvryUPWavPeYv39vB9SKiKObyepXO0KVezmHqKpfWqgwmHtsHY8a2TxCJQo3rR2lREQqnBLGHrwvHD67De2PiBLT6DpWCwdjxMTSVBBjaPoosU8prLM0eVy8r5DQ6Q5fuwGXs+JTTItLybIFK0eDavR5hGJPPaZxZLCHLUlaMPWqb97hQVRmVw8R0mmw9LtYXSuykxAdZIlM/lSTpMz/Pw8CnXDBopipShq5SsDTKBYOJE6BrIgAv5DQMTeHqnS5RlFDK61xcreIHEdc2emzujemOXOplkzCK+PB2B8+PSYhJEtjtTPADUZDZaU1QZIm8qVEq6NTLORrlHM+dqYlhCwk6fYeP7nQo5XUOeja/+ebqpxYqm12bjf0hJFArGYzsgI29ARu7Q+qVHOeXK3z/pUV6Q5dbqXNPvWxy7ksINubrFhu7QyRJEuqmp1ieTjHFFFN8HlxYqQBiiCMjbE7xrcfYCbh+T5zPRUvn0lqVM4slbmz1CIOIiRug9CTyOZGkKoqCocu8dH6GMIz5y/d2sV2fP/yb28KRw1AIghhVVfCDkCtn6+ngZoWR7XMjVXQsFXQurlSzeOKogtTSbOGhqizz9Tz3UpVJy1RpVPP0Ri63tsT5XC7oaeE4RFNlLq/XMI1pijnFl4fDnC0MhT33b7yx+o0hpPZGQpXI8UL6qcJUq+cQRDGVgkHOULm52eXOzpDrm10KOS2Nvx1GY5+EhEurVXZaY8a2EFQoF3TyOY3d1gTbDegMXRwvJG9o/P3HB/zkjRVkWUZTZe7sDAijWOSW6TU9iovkIZ5EoXZs+5myp5XT+K3vrH6mut2zgDgWSuY7rQmdvsPSbAHLFK5Ln4a7u4PUhVFY8R4O8zwuZqomqioThjGGJlPI3f9eD+s0U3w1KOR0FFmiM3DTfDTPx3d7BGGMYSi89ck+m3ujTNXy5lafMG1iXjlzXNntsK5gGSr7nQnDiY8kSbx6aSZ7TKNi0h16uH7ISJJYnLG4uytcYIuWRqV4v2EahBEf3WlDkta6JCABRZKYSUlWIAZIjjZO//7jfa7f64GEGEBFED4sU+W59doTbepEccL1e13GdoCqiL3sg1ut1D2kSLVoYqcxynPrNXJfcozyKLWdJ/U6RUvPGqE5U33o6/ZHLn/y1iaeH1HM6/z299amZK+vELIsY+oy711v8tGdDnEsXHCCMBKEXNtj7Ib0hi6OGyDJEkkiCFGjiUd74DBXsyiYGp9sdPH8CENXuLxeQ1UVbmz1GI79VASoSjE9Q3VduPX98S82GNsBSRKzMl/CMoR6/JnFMo2KxcQRQ36SJPaEOE6ytQ+w2CjgeOIxRUvH80P+/c82Hnp/DcYeb39ywLvXmwzHHnM1ix+9tsyL52co5XVaviBUqar8pa/PrwrPYiN7ii8HYdoLmubOnw+uF/LJhlDZz5mq2PeO9EsOyWOqKhPFMRt7AxJgrmqx/hBnoJMELeGAkTqb5TQWGnnubA8Io4RW36Y3dPn7T5rM1XK8eWWeS2vHFS6rRZO99gRdEt/rSYJoEMZc2+imxDYRm5gpCVZO+6WOF3J3r89fvLvDyPaRJXjx/AyKLFMrmZnKsZXTKDwBl1TLFKS1MO11nlks8sGtDq4XMnZ89lpj/uq9bX78+sqpvW5NlU+tLw3GHj996x6OF1G0dP7Bd9ceK7c8jZT3uDjo2vz5O1uEYUy9nOMffOebUzv4qlAw1SwG7Y1cNFXmlzeazNUsVFUmb6q4fgSSxEHH5vxKBUmS8IPogbhF1xT2OxP+4t1twjAW6tsrZd76cJ+JI2L7F841mK1Z6JrM9sGYG5s9RrZPMa/z2qVZrpypZ3FHIaelfXCJ7eaInKlyd3fATNWiaGnHxOckWeQn//Nf3cleu2TpbDXHWV60OHN/8MvUFKyciu2Ic13XZHbbYyQk3rve5PxKhWrR/NJj7MP6wNVbws25mNf5lRcXWF8of/YfT/GtgyRJDx3yB9jYGfC//+0d+iOfYl7j+y8usN2aEEWij/Wd5+eOxbGdgcOd3QFb+yOKeZ2lRoHLZ2rstmw29obsNMfUysLZ4+gZHccxf/HuNnf2hvSGLiuzRfI54ZjxwS2h8r8yV+TSWo1CThPx0t0jZ+WaiJdcP+TaRhc/iHH9CC0lqQdRjGmolPI6cZJwd3dIHCcULI2XUjX8xUY+czI3dIX5x3TpLOV1uqkTlheEbOwNeevjfaIoYXm2wMXV6gOE5NW5ErK0K3I8N2C2kmNjb/jQmOSbCC+IMscB0xB7v6Y+W8TYrxvafTtzsKoUDX7rO6uZgLB2Iqc+yQdbmSnwN+9tE8WgyPDac7NIkoSSDs0ampI5Vs3XLXZaYzp999Sa9Mk477n1WlYnUBX5U2O+9YUy71xrZgJW8zWLq7c6Wfz93HotI77qqRvWnd0BEvDi+TrXN0+veQCn9kMf1peP4oRrKU9PVWSeWxcczk/bNw+HN5Ik4dZ2n97QQ5Yl1hdL7LUnWZ63Nl9kY2906nvSFJnhxGe/MwEJzi9VHvp6nxeH+++n5U9fJuI44cZmj+HER1GESPZRnLw3D7o291Le2Gn8zim+nji5Di6sVJ65PlMhp/Ph7TaDsaivd/vuMzfAASAfEd9x/YjXL899dRfzOWGZCje2+oRRQs5Q+I3Xl7/qS3pshJGo93zRXtS0Svgloz1wM5VDoVQ/+VKIyF9H6JrClTN12n1HDF+cYqt7Eq4fUSkYqeqfiaEpnF9doD/08MOIi2s1RhOf2YqF44XkDJXR2Kc38gBo9hwUWaJkGey1hW3r0WLsbmsigiLEJPD7N1tZIPDBrbaYGnZ8xk7Axp5CnKRT9GWZ7eaYwUS8Tnvg4Acx51YqKLZPuaCzNFt8rAGdVt/BdsOMpBOGMePUwvnKeo0bWz0Kls7L5xucjC+9IKKcN0iS5JgCwHZzzNgJCENRdJ04AWMn4MqZGp2Bi6ErzFYfzSlhiieP3/3ReWFl2J7w8sUZzixWHvs51uaL5AyVIBS2gqoi7EMNXWG2ZhEnCZah0R97jCYi4BhOfPpjj+7AJYxiZFlMYZq6QqsnBoi6QxdZVjnoTvACYRV4d3eAoSn4YUxv6LGY5Eli0ajd70xYmy9xeb3GH/71HcopsazZddg6GLP2KYWIzYNR1gD+5F6PeslkY3eEH8ZMnIA7OwOunKmx1RxlSVxn4DJf/2yl2sfF+WVBaG31HBbq+a+NteAUU0zx7GN1roiuythuyF5nMt1fpgCEK9fhgPNh0/MHLy9h6DJ/8Be3mUmEoozjhtTLJnEMK3NFludK3LjXRZUlPD8iCGJ2mmMqBYNa2WQ08Zmp5YiihP7IYzjx2etMstcajn0GY49qySRJErYORtk17TTHzNesU5vkv/ej8/zsw10cL+Q7V+bJ6Qq3NnvZ+Xx3d0jOUNPYJGa/a3+rmhFTPH28f7Od5TqtnsNWc8SZxW9Gw3q7OSZOHW5ypsJoLJwsVUXCC0SDXhCzPRRZFor7kwCZ+4qncZLw0Z0OSzPCxa839NhpjcmbGueWyvRHLpW8QaNqstuasNOasDJXTAfDRQG9UjRo951jarVPC59sdDNlT9sJ+Hijy3euzD/163jSGEw8hmOfatFAkUUqdPlM/VPrB44XZiStJIHN/dHnHuKwTJ3f/u4at3f65HNaSqzysUz1cz/nFE8GCRJvPj/H9Y0ekgSNsokfREiSRLMzodm1sQwVSRKknfPLQtXd1BX22qerR7p+RK1kZkMNR9WVkwSeP1PjoGdjmSqKImdOq+W8wdmlMq4fYZkqd3eHWd4+tgPOLJZw/YiCpVGydA5ScYmjhCjbDcUAh3hz/PzqHm9cns9+96T3lv7IzUibYRTzi4/2sgbuR3e6XFytUMjpIkbpTL4x5wXAxdUKBz0bEvEdPExh8OO7gjAHMJr4XL/X4+ULM6c+doqnAz+M+ehOBwDbC7m90+fccoXeyBXKrmMPy9B46cIMWwcjCpYuyJGyjKpKvHCuTskyaKZnhOdHHHRtCpbGMG08xnHCTnPMc+v3CcaHA08AzZ5LkgiVxlZPDIbM1SxURbjZVItGdkZdXq/RH3kUchqvXJrlk7sdojjhubUa7147OHZ/3dzq8+K5+wNm280xu81xdp71xx7v3mjy/Nk66wslLFM7Vt+cYopvMtp9ByftEwZhzN437Fz6srHXmRCkeaBzIqZYmimgqwquH1KwNG5u9lmeLTJxAjRVeWTn8J3WOBtmmDgBs1UxePbh7TaGLrPTHAs3pEnA9c0ea/OlY4M4+ZzG5fUavZF3apzd6tsZwc0PYvY7D9ZP9jsTukMx0J8kCbKs0B26eH7EpdUq8/V8ugdXnshAgqYqXDlToz1w0FWFN6/MsfTuFn/+9hZrC0UaZYud5jiL+072us8ulU+tL318p4PjpeeD7XNjs8srF2e/8PU+Dq7eamW1g87AYWNvwPmV6lO9hm8aZFnmH3x3jQ9uNbm3J7MyWyRJRO/ut7+7xrs3mhi6CpIQrqmnpOaDrp3FC4dxy8pckQ+OfEftvsNOa4ShqQwnPlGc0Bt5xHFCGMXEScJOawySWGvv32xx5Uw9uzbTEOTEm1s9KkWDIBIOlN2BK3qcQcyFlQpjJ6BcMPj5h7vHXnummuO5pIbrh5xbqiAdEaKUZYnL63WaPZvFmTy2G3Bvb0SlKMQVtw/GmVPZl4XD+kBv5NIeCB6EZWq8f7M9HeKY4nPhb6/u4XgRfhjTGXjc3hli6ArVkomhyaSGMwBZL6E/8lL3HZdq0WC7OaLdd+mNBPfgkG9w9Ize69jstiYs1PMYmkwCXFytZfwYEIIuu60xF1ertHrO8bMy7TUcdGz8QFyUqSsULI2FmTxBKMRoZqsWN7Z6zFRyBGFM0dJw/YicqfG7v3qWv7u6z8Txee3S3GMPQc5WLVRFZuIEdAcO/Ymf5VUj22erOXpgiGN5tsh/9hsX+eNf3OOcqXFhtUqzazNfs741Q7wHHcE3AeEe2uw50x7pF8TV2x389Dztjzxu7w64vC7OQkkS+X2zZyNJMFc7XnurlU1evzxHs+cwU8nx3LoYhHR90Yf86E6XRiVHkrrDHbRtVFU+tSb90Yk4z3aFi4cfRjTKuU8d1jm3XOH3fv08N7f6LM7kyZs63aEYkpo4AZ2Bk3HZHC/A9sJMVHanbVMvi9+dVvPYOdJ7PdoPPQ3dgZs53IZRzE5rzIVHjBPHTkBv6GXX8eHtDla6roMw5uqdDrl0uEbsGy4zVfH5RXFM3lSpl80n4jr3afi0/OnLxGAs+tMg+JhjJ+DiapWR7VPK6w8Q/beO8MZO43dO8fXEyD6+Drab42duiKPVdRg7AVJ6u/UnPo7jkMs9W/0yWQFZGDljaDI3N/uszVe+6st6LLh+xEIjj5Pu+f1JwNJXfVGPiXbK/4a05pfWSx4X344o8SuEfKKJ9lWqMCdJwl57wtgJqBSMU4uXthvy7vUDPD+kWhS26vWySb2c487OgDs7A0oFndcuzmZFQtcPee9ak4kbZFbs1aLJTDWH50fCkje1LFVSZTg/jHn32gFjO6CU16gUTcoFg6KlEYYxfhChKDKLlRyrcyVW50Rh8L0bTTb3h0zckKKl89HdDn/08w0UReKlcw06QwdZklKLVeFAsNDIC/eCns1Wc8Ro4lOwNDFdLMvYrs+711pc2+jhh8K+bOIG9MdiarBRydEdOtze6RMEEWeXy0RxzFZzxMQNKFo6szWLv3pvm+7AZaFh8RtvrmWfaXfg8KdvbxFFCT94eYHl2SJ77QlbByMGEx8jneaT5NR6zgkIoohGxWJ1vkjOEAoie+0JI9vPilab+0OGtkdn4BKEETlDZaaSI5ESbm73sJ2Q4djj/ZsGpYJGvWThuAGDiY+qiOlkU1dp9hyCUBSw1hZKtPsO3aHLaOLRH/vkDJXXnpv9xij1+X7IO9eamVVbKX//fn0a+Mkbq8d+TpKE3faE/sjD9ULKBYPFmTw3NnscdG0UWWJtocRCPc/d3QF77YlQ0NBk/uSte8iSxMWVMrd3hHrmqxdnKedF8aTZsQmjiJ2WzSd3O1imSm/k0xk6DMced3f7jCYhiZSgpuoznaHL0A7QNZnJJGDfC3E8oeS72x7RqOR49/oB5YLJb393FcvSOGhPuHcwxNCUTHXH9yP+5O1NWl2bmWqOS2s1lhp5OkOX3fYYy1CFLSKJKDwOHfbbExRJolIWn0GleD/Qu7vb56M7HTRV4pULs8zV80cSnoSd5gjXj5ip5B6akD0M6wvlaaFziimmeOJQFJmzS2Wu3etxc7M3LVBOAQiC9Y3NHo4XMluzuLBSIUkS5usF6mWTnaZQ0A/CGENXyBlCmeqPfnaH3daEiRuiSBJjNyAexGy3JJI4RpIk4gTM1KVrdbZIo5qjnDdYmsnTG/l4fkilaOD6Iff2RgRRjGVoNCqmkNtNMRh7HHRtDE1hebbAj15byX73l+9u8dZHB3SHDrVSjrm6Ra1kctCecHd/SMFS+dErK7xw/j55y/VCtlvCMnx5pvDQRoUfRBmJfaGRZzjxs8LeYXHxUFm8aOmU8jp77QmyLLE8W5ha7X5LcFJp/Fkn/MWxICI4XsjYDjJVppyuYVQVDE2l2Z1w0HO4erPJdmvMcOxhexFIIrcJI+HyJ8uw3RzxN+/voWuioZ9EMUGUYOVUqgWTgqVRKeaQJLHseyOPjd0B1za7eH7MXDrQdbKO8XlwkDplFiyNxUdwu9ttj9nv2IydgEI6uP1Fvt/P2nvCKGa7OSYII2ar1pdaZD76eZbyBuWCnr3Hh/6N/GRrSdWSyRul+wMxpfyzVVT/puHqrRYHXYdGNYdlaBmpbXu/y7/6/70nmpR5jVrJoj1wkGWoFsxjanbdsc2fvT1C1xRevTRLp+8IkoKh8qdv3+PGZg9DVfhnv/kct7f7jOyAC6sVbC/EdkOSBCol/RjhyA9EDU+ShHvsQdcmThLqZZPd9oRWz6FRMXlurYbt3SfxfXSnQ6vnUCsJwtRo4oMEiixxe6fPaBJQrxgoisSfvb2FqSn8xneWKRfu12Gub/Z455MDLFPlN7+zeoxY0Ru5tHpCIKZaNPizt7ew3ZALK6IJOJr4Ig6QxGOTROyJR9fNp+1rJ/eLbjocclin3G09fryxfTDi2r0eeVPlxbM1PtzoMbaDrPZ2iDCK2ToQCn3z9fwxFcFPg6LID91bHS9kpzVGQjSIj+JJnJtRun96QcRc7cvdP591tHo2H94WCrOvXZqlYOnIiO9l62DEdnOM4wbstcfpukwIohhNVagWdKJYQpED+iMXTVWwchoTJ6SQ0+kOHPa7NkmSiPM2p7HZHJEzVCQkbm31+Mv3tpg4AevzZXI5lV/eaArCkSSUOse2L65JkrI4u5TXURSZq7datAcui408Z5cqWRP9cAiok77+YOJTtDRkSWJse/z521toqsziTIHNgxH73TGuL1TIJEnC8yJubQ8opCr3DxtA+izc2urx1scHmIbCr72yzM8+3OXuzpCipfHapTkurFYYTvwsd1ho5Dno2nx0p42uKrz23AyWefp6OxqfNSo5aifqjEEo8pYwilmo5zPXsDASg/aDiSCdFi2dpdnCN6amPsUXw9epT3iI3tCl1XcwdYWl2WKWi3xRHK6RKBK5/ZMQZTr5eUkIotbECTB1FT+IkGVJKORKZGITuvbo597J78gPI7wgQtcUvDR+0jUZSYI4innr433CKObSWo2ipXPQnbDTHOOHMbWSQcnSuLM75OZWn+7QwTI1akWTOEkYTkSPpjNw+cWHu3hBzJnFIo4T8s71Jv2RR94SiuSDscft7T773TFXb3aEozhrvHrpvsLm4b7V6tt8dKeD54cULYOFRp5XLs3iuCG9kYvtCrXh3TTuqRQN7u2N+Phul2pR5//8jy7z49dXmThCeO4Qrhdy0Jtwe2eArsnkDA1Nl/l//A/vcm9/xPJMgdmaxcQN8PwQ6cT3dVI05NZ2j43d0QO9ZhBkt8et9Xx0p8Nee0KjYmZxtXLCKf5R3T3+8t0ttg7GrMwdr4d9UxBFEX/+zjb7HZsziyV+8PKn02O8IGInrdUtzuSxTI1XL80hp2wn2w2wPdFrfel8g2Iaw++0Rrz9yQEj2xcq27dbtPsOEydgoVHgpfONB+LSMIz5+G6T/shFV2XiJGYw8pAVhdXZAu2+zcQN6Q9dLq7WGE58DroT3v3kgOubfWRF4uxCmXbfJoxjOkOPSl7n47sdSnmNF841+NVXlsVa6dliOEmSGNsB3YHBueUy1ZJJu+/wsw92+cVHguRuGgqlvM6rF2dYmi0xX89zd3fIB7fbOG5IIadye2eAqSvUyiavXZylM3QZjL2MUDpXy/HieRFDPW4/03YDNnaH7HcmmQr4Yfykfg3OkimeDjoDh+2DERt7Q4qWzovnG8ycItppu0GmoK+pElECM5UcSzMFVEVmpzXmnesH/OLDPXojFwnh7tQomyBBFA25sdlD02R+/NoSW80JBx0bQ5OYqeaJk4SRHTCYeEjAYOSRy2kY6TBlksQoioSuyWy1xvzBn95k82CEZajkTJVq0eTmVpdWz6E/8sgZGp4fEsYJjbLJdnPMXntCrWRg6CqyJPLb7eZIrDNDpZw3WJ0vUrB0dlojNnYHdIeCkH00Nz2MHRRF4VdfEXtdEEbc3R0ci+M/vtthtzWhXjZ5+UIDWZaPcarKBYO5muiBeEGUkZNBrEVZkk7Nkc8slvneCwvZEBvwwPn4TcYDdc0nUGv+JuBx6ynNni3iwpz2QF9EO3GOaqp8rA+9sTfg1tYgrc3nGU48xraPrsoEYcz7N/fojzxePF8nCCN22+K8X54t0h+53NweoCoS33l+nj97e5OrtzrMVEyWZwvsdYTzRDGvEUcVfnZ1l5Ed8Npzs5xdLB+rsbX7Dje2epi64Jwd1jziGOIkptV38IOIoqVhOyF/8P5NXC/ilYsN+mOXOzsDZEni/EqFu3sDNnaH5E2VH72+cqyOEQYxb320h+2FrM0VubR2fChjbAvhu0O3kJ9f3eXewZCSpfO7Pz7LT9+690jxkSxJbB8Mubk9IGeoPH+mRj+IsJ0AQ1fJW+qJ9xTwB+9t4wYRb1yeRVHlbChGVeUHcrJWz87e00zVYrs5wnvEmKEzEPmFUH9P6AxErTif01iXjg+P90cu791oAfDqxRkqT2gg9bS1Xykax3hfJ38fH05xSMda1d9oNLs2/bSW90VqY18VZFmi1XfYaY4xdYVXLjY++4++ZlBkCKP74ldHhbCeJdhOkA3fOr7gfTxriMKA9643cTwxWPjj11c/+4++ZnhS/dynVkHudrsMBgPOnDnzwO/u3r1LuVymVqud8pfPNhoVk8HESxMRleXZr47Ad9C12W6KgKk/8tBU+YGD/q9/uU2r5zAYe9heyPeeX6A/EgHd313dhUSQp+I44XsvLADwsw/22GmNGU18xo7Pm1fm6I884iRmc/++kn4UJdmk0Vsf7bGxO2TiBPQnHq9fmqWUJl1eEGE7YTbwcYh3bzS5ca/HxA3YOhhhaDI37vUxDAU/iBjZPitzJWQJdtpjcobCYOwxsn1W54vc2xuhyDKlgs7YCZirWXzn+Tn+4t2d1KEgShWNdYgTcoZKFCdEccKtrR6VgoEfxlzb6BFEMUkM++0JB5KN74d8vNGjnNfZaY3RNTVLCP/Nn93MnEL2uxN+70fn2U+Vaxw3RFflrBg5GPmYhsK4L5RGRGMuojsQ7gaOF7J1MKJa0rm53SeOExw3JAgi6uUcUZzQ7bscdGxaPZtWT0wr9yYeC1WL1sDB0FV0VebWVp/F2QKdgctczeKgOwESDrpiQuzvP96jkNMp5nU8P+LHb3wzCpZ/e3WPneZYNPptnzevzNMfeeia/JU0nvfaori/uT/E9SOWZgtcvd1mZPuZypLthnx8t8Ng7NMfegwdn3bPQVFEceCtj/bJ53TypsrWwYjXL89iuxH7PZtbW310TWZse4ycgLOLZW5t9UgQxXeJBEVRiJOEomXg+eJ+clyZkRPgBz4TJ0KShOpFd+hh6CoTN+D/80efcGmlxl53QjtNLkCQyP7oFxt8fLdLf+TxyUaXKE7Y2BOJUDGns9+doGsKa/Mlbmz2aXZtxo4YUrL9kDvbfRYaBTH01Blz7V6PJBYqhd2Bx/deXMi+s62DEc10TfXHHi+c/XRV2ymmmGKKp4XzKxUxxLHV59df/2aco1N8MbR6Ds2eTRgleEGIHy6w256w25rQ7IpBWteLSEiIooiR42MoEhu7EUmSEANBEIvh3wgyiZL0/4MwYGQHTOyAQlPn4mqF/Z7N6myBe/sjPtnoYZmqiDECUfirFI3M9c31Q24ccdoIopjzqYvgWx/t8/MP97m702fkBAzGPoOJx5X1Kh/e7TKa+NRKOf79z+7SqJrM10Xec+1eN1PKmtgBL188Xf355lY/U7/Z3B+RMxUUWc7ylsN/h1QpJx2mPrzuowp8U3xz8cblOf7y3R1sL2B9vvTM2ytvNUccdEQcG4QRkqagKjLriyVUReaj221ubPUZTgK2D4ZMvADbEcTpozXFKIHofk8QP0jwg/tNRduLcN2I5dkCmiJTLgoyY3dg8/cfHzByAmw3ZDDyeOHcg2SKx0Vn4HBvT1iw90fCOeSkdfZR7HcmbB+MqZdMdltjXD9iZa7AC2c+X40oSZLje48TPKA8f3d3kKkFDcY+L55vpGIQTx7lgsFc3RIk9DQH+iwYmsLqfJHt5hhVkT6XassUX09c3+jx/s02IO79C6sVVEWQm//DWzv0J+IsbA98+iMfTVOQJChYEZWiwcj2qZdN7mwPs/N662DMufQe+ZtfbvPLGy1IJGwi/vt/+xGvXhJktru7fXKGSpxIDG2fuVoOXZMJIyGCstMSzrX9kUdnKJyF4yTB9Sfc3R1mRO97+yMW0gHLj++0GabXvNseE0UxfhgjS5DLq+x3bIIwYmR7fHS7I9R5EepW/+U/eR4Q4if/21/fzhTzbDfkv/jt5wBB2Li51c9Cnv/9b+5kqpeb+0PWF0pEsYhZZiomWwcToihmfaHIQj3PyA6wTJXFhwxUn9wvtvZHGdm0M3Tx08GYw2t5/uxnxxuDscdfvredfT/v3WhRyouY5aA7oVzQs+bonZ1BRpIcjH1eOt/4QoOpSZJwbaObqe0ZukK9LMRpFhp5Lq1+cQXqu3tDugM3vWaPF883piT1U+D7IX/69lam8jya+PzjH55FUSQKlsbtnQGOF+IHIYOxuMXjRBCTXU+4NedNFTdQ6QxcCpbOmcUyd3aGjO2A3faY1sDFSVVsc4aK60eCTDXxcPyI7f0RsiKx3RyTxAmdoZe6/SS0+zb73RzfWywxsoMszu4NXcZOwH5HDIg0uzYJ8Nza/TN57ATc3hkwX83R7NpMnICzyxXu7g6JY5i4AR/cajNTzRHGkDdV/DCiZOks1PP0R6JXIkkSC43HV4IcjB3+17+6nTVbf3ntgBiJ3sgjiRMcL6I1sCnkxIBKf+QRRhF/+8He/e/DDvid76+f+vxbB6NMdb4/9nj+TP0YCf329iAjbw0nPi9fmEFVZDZ2h7QHDnd3B8RxwvpCCdsNefH8s9fMnuLJo1HJMZwIN8587tGGnL9M2G7Aze1+dr7GCU/MVfPmVj87qwcTj1cuzDwygf5hWGwUmDgBEyfIVPZ3W6JPeXdvwHw9T97UsF2RJ24ejFBk6bHcTlbmiripKF21aHDQmWCng5FjNySfU/H9mJlajiBKsn1zpzXmzHyZwcTjwzsdcoZKrWSy35kwsgM+vtPBD2Mh3KGNqZdNwihhbAf81bs79MceCQnX73UJo4goBs8PcfyQmYpFGCUc9Gyu/bKL60eYqsL/+3/7mLPzRcqpGvFhXvnTt+4Jh/ZUIOC1i7PstcecWaxk4m3Nnk0QRESA54Xc2xsgyTLNnsr/83/+kP/7/+k7fPf5ef76vR28MOLccplW32FsB8JZSYKFep4/+NObtAdiMOSgazNTMZmt5tnYG1Ir57L4Y66W5/KRM+Sga/PzD/ezXnMSJ3w37TVHUcy1e90sJnyUWs+t7R7vXW8C4vk0VeH5s3VevzLH+B2fsROwMld8pHvhsO51+L1qmsz3X3zWNEA/HX/z/i7vXBOf105rTMHSePnCw11Sbmz2Mhehoe3zyoWZLFfd2BvSTB29ml2bStFgpprj+r0ed3aH1Esm1zZ6fLIhfm73hNqt44cMJz6/+soCxbyO7QaszZf461/upHyEAEmSGNtdJFnC1GQOOhMkYqJYkP1afZsbmz3u7fX5o1/cI04S/DBmY7dPztCBBNeP6PYdvDBmrmoydkImjhjQ1DWV/thjknIR5usW1+/1MrGaP/iLWzheyMj2SRKYqZjc3R3wz37rMp2Bw+bBiFbXZr9rU7Q0os0+lZTjMBh7QmjvYMTN7T7lgnBVNXSVi6tVtk/EGZ/Wz4zihGsbPcIoxtAUxk7A2aUyEyfAyml85/ln37l0is/GcOJze3uQDUYVLZ1m3+H3fnQO/UgeFscJ1+71aHZtml2b7tClUckxtn0cLySf0/j4dpc/+fk9OgObIBRhQBgL9fswStjYGxAlCaos8z/+9CbFvIrnJZkQjCQJ0ZhWz0aSJExdIew7FHIalqHSHXp0+qIm+O71A7b2x0zcgN5QxD9+EGd/KwQkPFRVpl7J8efvbjNfE4MiO+0JL55tsNDI89GdDoOJULOP4gR9SQxsXr/XZb9j0xsKwvJczULTZBRZZqaSO5XzcTKOL1o67167f4aoqsyL5xqncqpqJVPECl6I7YUEYUyjnOPMYvmhOfLZpTK3t/uEUcLybOFLqzt+HbFQzzN2AkYTX7ilPKIz2jcdj1NP6Y88Nnbv19cXGhbDsc/Q9lOxhYfHNp2Bw9+8L7h9dODjux1u7wwJwpjBxOcP/+oWXloH222PqRYNBmNx5oVxTLtnM7KFyMtfvLPNIHX93GmN2W6PsJ0I1xfxwc8/2mec9iv22mPevDKfnWvNns29vWEW220djLJ61X5nQqOSw3EDvCBGliX+6Bd36Y/Ea20fDNhu2Yxt8fOdnQHNro3rR/THEm9/ss/zZxrZ5/Px3Q47bZEfTJyA77+8mO0DQRhz7V4vI2lv7PX54HZbOH8Nff6nP7mVCR59Vnzk+CFXb3ewvRBZktA1hfm6xdgNCOOYSkHP3pMiS/z7n9/NPr+99pj/5Mfn6Q09ZElivp4/lpMJ8eY4e0+7rUnmFPhZMcPhWXH4t5Ik6quuL77Hk9zLP/37zcxRpTdw+b2fXDj1eR8Xh4Nvrb4Q41n9jP7d2aUyd3YHJEnC6lzpmRdtexT0hi4bR3pnsiw9FZeUJ4koFR0f2T6KLLPbsXnpydxCTw3D/sED//asuXAApKlahveu7/H9zxjU/7rhp2/vCk51ArutCb/4aIdL68+Wi2ajnGM49umPhTPr0sznW9NPrcPyX/1X/xXFYpH/+r/+rx/43b/+1/+a8XjMf/vf/rdP63KeGiRJyohPTxNj20dO7TQPcWg/eAjbCzl52x8mLmEUE8cJrh9i6IoYOkiDB9HAmWC7ohDb6gtL9CCKiROw3QhDj9ltjgnCODtoDx9vuwGt3iFRJSYMhJWMmQ5dVIvmqdajw7FHGCU4XohlarhugKxKqcKeRBRBo2xi6iqKKmM7AWM7wNSV1Oo4RpFlLqxUqZdNzqXfy+F7VmSZhUae9YUiQShUgoqWjqZKdAcOfvpeFAV0TUaVZNoDB0iy/3eDkJyspcSTEFNXGYzvK9bYTshWc0gYJdhuSL1icnapzGKjQBBG2Wd1e7uPG0QszeTJGWp2jX5qOzicBBiagqEJhWZNlbP7bDD2mK1ajO0ATfOx/QASGDkBYZSghCJgnLiCqBPHwiVFliSaqb297QbEifhOQRTbvykYpkFyEMYkiQhe86aGk7pgfNnwggg/iIStniTRHjipqlNMEEYMx152zxwG6YOJy9gOIUkIoojRxGc0SafuVUWQEnIaYZxAlNAf+4KcZalIkoQqS0zciDBKyJsKmqoQhnE62SxRLZlISKwtiOnuKE6E+kUQkjNyRJFLnCQYmoLtCfW8KE5IgpiR4xNHCaW8gWUIm/BmTxSH/EA0klVNZpBaHxdMjXxO49xShdX5Io4XsjJXFAMgiY7rCxce24vwwpiLa1WGEw8zLVACjB3xHR5+Z4d7CwAJ2R4xxRRTTPFV4+JqFbgriGdTTIGIsQ7tgP0wYq81pmDpBGFMFMfomkIUxZDIFPM6jhcRxBF+FKHKQu0wSQLylkp/5HNCXDlDGMX4YcRMxcIPI3RdZTARDRtTFzbIC/U8szWLnKESRgmaKuH5EVGaA6iyfCx/aA1EnBjGCZqqoKoSqixj5XShfOnH+GFIFCs0ew7z9YIgcgb3L9ILxPOfpvB59LVsT7iCHdbr7BNViDCKcbwwG+I4+fspvrmoFE1+90fnvurLeGI4et8fNvcaFTGcb7sBS7MFdtsTOkNByI2jWOTln0PEQ5KgmNf5Z799iYVGge3miPdvtIgTkeNbpkohr1Eu6sIFp6Bju2GWbz4McZwwcQM0Rc7cLk7WHk7+/LDPQVVlXr00y9Js4Qs5WEVxcnzv8R/ce45eUxwneH70pTZT1+ZL2fCGm5JBCjntU1WW5uv5Z66AP8VnozcWxIMwjFBVBRJ4/TmhpDw6ougICPKzJiPLElIi81vfXcP1I8YTjz/tbBGkef3I9gHRvL23P4TkvnLZUdVHL4gpWArzFdGQiBMyteL9ziRTe7NMlSCMWZoRBIrtllDjkxWJOEnoDt1siKM/FjWBKBYN15yh8lKqMnv1dpuZijirB2OPdt/JhjiGIy+rjxz0nKyhC9Adudl/u154f2YV6A5dFEkoY4axIDMtzRaz9/CDlxazxy42CiSAqSsP3cdO7hcjRzjSijqjcOo9HOI4Vnv4FAwnfjbAAcIdxDJUokSoDQ7GfjbE4bjH9yI/Vfz+vAijJKslAZBI/MNfWXuiim5HrzlJxD02HeJ4ELYXZgMDIBrue+0x/bHHYORimRoSQnU6lmJk7g9oStJ9pVJDVQjjmHJBxzJVkiRhZIt7SNeEa58fxMhyTNHSyZmqcMSxA6IkgVgiCETN2tCUtHEvIcsyZxfLVIpmRooA4Rw4GHvEcYwXREzchP6RNQnQ6dt4Xoihq7xxeY5yQWe2avFv//YuIOqZrh9BAiuzRarnhFJwMa/R7DoEYYSmKp8aHzheSBjFp56V3aF/TC2vOxIErDhdeCPbYzj2yekasir+tjN0j30fJ/fbk6+dIREk4qNDHEdzjyCM6QwcygVDuJHHSbaf+YHIWZIkeeZUFad48pBloR77dYFz4nx1nmBOfXQNRZEgVuc+hYzjhzGdvk3e0ik9xJFKliVW5oroaU/s1nZfPH+65vwgyno8szXrkYmCrhcSpORo14+4uFpBUxVGE5+t5ijrm1UKBhdW5rByGi+ea/AHf3ELEDHWxAloDW1Gk4AoSgiE4gatnoMiy3hBjOMF+EHEXD1HvVQhjEVM058IMbwwSISYRyyGuQ1LiG69dKHBcOJTK5rYTogsCxdWP4o56LuUyxZJIlR2x07AYOITHtmHXD/CCyPOLIp6DIhBPE2VCQMxMBjFoEgiJ+ynfamZqpURue7sDLidCsrVSiaaKrM2X+Kv3tsGxP4m+qYyqioTJ+B6Af/pTy6e+pn3h96xe69/pH8ahPGxmPBRaj1HHUNAxF0AJUvnn/zq49UODuteh+j03Yc88tnFyffU6jkPeaTA0fUchjFhFKPLihicymlZvHJ4H758YYZW36ZeymWK4c3uhJKlM0yJ0L4v+Aedgcd/9IMz2ZDXn/ziHuWCIXIcGfwwQZchQUKRJUxTw9RUaiVDDFy5Aa2uQ5wkhGFCHMXYHlQKQmG8nBc1DU2VcL2IOJ9khFFFllifL7HdnKBrEhIwmyrt18s5HD8kCCOiKEaSJcKUEHrQHWO7EXGcoGkyuqrg+jGaKuOlZNbuwKGcN4SLcpKkdRUtu9eP3ddpP1OSpFPjniCMMvJmtWRSK5u8eWU6uPFtw+E6nKT5aBjFhGHMxA2PDXEc/rvnh0Rxku373aHLyA5YmyvS6k/SOFpGkQ8H/2W8QHBUEiRkCeJYDE15bgySyFMUWfQrKkWTneYIP4qRZQ1TgWrREByLBAYTnyAUDp1xkiDLEgpivYA4u3O6gpbXieOEvKESRTGDsU+1aGT1wHMrZSRJwg9iwigib2nYtk+lpDOe+Nn5D2R59PpiKeu9nIaj6y+KDvk9An4YsdsasTZf4qBrZzyfo9+BoSm8cK7BC+eOD2kf3SuP5shFS89qLt82KIp8TAhgCoGH3Suf9VgACZl//MOzj/Q6w4l/LN5q98SwVRTFKIpMs+9gagp+GGOZondYyuti7YcJJBIlS5xJ3aGDJMnEsYj7ekOP59bqhGGEpinc2xtmdawoFutqNeXp9IceQTqgAdAe2BQtgyAQNdHBxOPMwv1hlE/udjKHjiCIkJBoVMSatt2ARjmXxp4S/bEv+qDp+u+NPCpHuF7Nns3KnKjFB2FEGEYMxj6KKrPdFI4ciizqL52Be8y1+rT46FCArt21MQ0164OMbZ/FS/fX+cQNWD0i4PTx3W5Wow2jBE2RszpwZ+Ac+556I/eYM/Fg7KJrCmGUZPkKiPph4UTe5Hgidjms68YJxwTQDs8EEKIjhwMcIOpXfhhnjl+fB0f5qWsLpWMuxJ+GStHgtUvfrn3ycXtnX0cMJ6K3pWsKiiwd6z88K/jLq8MH/u3vrm/w/UvrT/9iniDeu9H5qi/hsdEbeUgkJOleuXkw/mov6HPgSdX8nlqH5d133+Vf/st/eervfvjDH/Lf/Df/zdO6lG88bm33swne5dlCpjZXK5li4CIdeqicQlhfmStya0so80mShJXThBLoQpF7uyO8IKQ79MiZGn/+zjaqIhHFMb3UaSROyR+b+yOhvtFzmK9bmLogd++2x2wfjAki0fQFobwiFMAc/vPfuCgKi+kmf9SuvFYyefd6C9cL6QwdVmfzxPsgqxJ+kFCwVEZ2gK4pqIjiXZySX54/W6fVd1meKaBq8rHnXZ4tsLE7JGeoqIpEvZyj1XfI6SqSBOsLZf7+4wN6I4/OQAS4XhDRHbrkdA1FkXjj8iwb+6KoOxj5nFkocvVWm/PLFVbmS9zbG+L5EYoisdeZ8P6NtjjUdJWL6ULWVIWiJQgzcSKaSdtNocxzcbWaBlzi9WarQsXT1BUkSaJaEt9lqaBTKxkcdG1qZYNmb0KlYNDpuyzULbZbE0xNQVFk6mWTmUqOIB3qMHSF80sVbu8OqBQMTF3JnBW+SgeZJ42V+SIfp4pIcZxQLujIsvRUBjgGYy9TtxbJTEJn4LLXmWCnitYSEqahEEQxOUNlbHu0+y62EzK0ffwgpDtyCcOEMIrJpUMRdqrQV7A0Fmp5ukOX7sgHYnrjkIKpoigS/UmI7QZ4fpQWQ6VUbUJjrzWmNxZuGLomGqBJEqOpEnEiIysSRUsDCXRNpWApNKomfhBht0OsnIqpK5xZqLC5P+YXH+2L+16WmKnmsmERuL8HmbqwFJyriftTjRNMTaGU1yjlNK7eaovmbyAavF4Qs9jIH/vOaiUzU/dSVTlTuJxiiimm+KpxMVW6FWo78bdCQWKKT8fqfFHYhY89PD+iP/Zx/JCNVIGnN3SJEaQtNwiJoxg/EnztWI6xclArGEhy8lAOt4SIMyoFA1mWKOQ0On2XTt/FyinIsogDZVkib2qU8npGbMwZKgddW5CaJHi1dF+5/rnVKh/fblMwdQa2RylvUC0ZzFYsqgWDvc6EHCp+ELE6Kwp0iiJc8A6HaCtF49QBDoB62cyKo7NVQUQAUUQ9dA/c70xIEtA0mZlq7tjfTjHFs4hayczWh6qIODaMYj6+28H1ItwgQpakdAjfI53PP1bcf1TEcYyhyVmBv1I0qZR0DF3BDwWRPI5hpzkhiYUylp6SPS+v104dko7jhOv3eoJALsGZhTIz1RyVosleW6xXJNHM/azP4bBWIUmcWqt4HKiPsPfUSia7qeuAoSvkzadTHmv2bKG0lEApr3NprToldn7LMFez+Nv3d7PYcPbV+8pIq7MFPr7XP/b44VjkuhLwwa12SiYUBLxDwY9zR9T33nx+jqt3OiRp76RWvr+e6kWTRuX+mbk6f7+Zp2sS73xygONHyCmp6V6qMJ0zVEjCTETlzJFG3OJMgfeuN4njBEWReP1I4+3CSoXNgxEkUC5oBGE+axrONyw+uNkiSUAiIWeqGYH03BGl5IIl4pTDwYTFRp7r6WdUyKnHCBorc8XscZoqc3O7RxgK0shza9UHGpzw4H6xPFMQAhkJ6KrCXNUiSpn1tdKjxRsz1RyWoWKnTbjl2UImjlOw9GMxTK0s9ksA01DIfUFBCi2tiRzeG9WS8cT3mFrZZCdVJTU05Ri5fYr7KOV1KkVDuECEMRMv4L//w4846E6wnRAvCAkjsZ5J4HC8IDvnE/G7YTpYNJr4KLJQeVyZLzIa+4IUaKpYhqjHaZoiFOpDMTzQ6ivIgGUq5EyZVt8Vrn4S5HSF3faYVy7NoKkyB12bJBFrYnWuyM8/3GO3NUFWJHFerdaolkxub/fZ7whl2nLRoFEW9b6ipVMu6AzGPjlDoWhpFCwdb+iQt0Q9ezj2U0VbIZ50YbVy6me335lkCveVosGFlcqx+3i+UTh2n19ardIeOGgpuXmuaqVkjSSLRVZni2ztjzIFzOW5h9e6ayUze25VkbPB8ez3ZZNm1yZKEto9BwmQZIm8qaIqcjokH2MaypeyBqeY4kmglNdRVTkbbjrsLz0J1Er3c3vLVD91UNr1Q/7DzzZS5X34tVeXH3BbjKKYjze6OK5QkT2/UqFWMukOXFRFEIUOc5VHPatBkLPu7g0Igph2X/QxVVXUS5pdh+7AJY4TVEXCTPul9fT5V2YLXL/Xoz8WDkf39kaEUczI9jF08Zjn1mvstiaMbY9mTxDN9zsTbCfizEKR9tDDVFWafeFYrioSxZxMGAvCed7SuLHZo1o0afZtZio5uiMXWRF745lF8Tnd3OqztT/i2maPOEkI/AhDl1EVmXxOYa5eEAP9lsbEDTJHJD0nkzMUhmNPOEFJUlbHPMTPPtjl5nafVs+mWhQCeofx1IXVKp/c7YqzSZWZr+fRVUHiWZ59uOLuwmwe/aaCnw67HI1HDV3EFYckuUep9azNl7h+r5ft94/ievgwHNa94kS4zV/8BpJPL65WubXTJ0mEIvOltU9XOD1cawAFSzs2GG0ZKoau4Lgh280RhqHwb//mLoau0O7blIsGOV3ltUuzvP3JAYW8LgakTZVhSvT78E6HK2fqaKpMuWCwsTckCCNRuyyJAUldk8hbGnldxY9FHlQuGOy2J1QqJkkshkiCKKFsKnSHHsW8RnfokTcVhqMAQ1UYTjx+9JrIvTw/4ub2gDiO6Y5iZqp5cobC2aUyg7GPrslMnDDT0AijBImEP39nm5yp0um7SJIYkp+tCEJpqXB/bURRQrlg8MndLvmcSpLGJyDiiFE6QKuqMq4XZsrZpYLOpdX7NYLDWPtwTTzOHjfFNwflvI6iSMyUcxz0bExdxPwnY1RNlSlYGsW8ztAW7gedocNOc4yhq3x0p00lZ4gBYxmSOFVmTyCMQhwP1HSA6rDsGCYxSSyhpSKn1ZKJrikU8wYTJyCMYpI4ZjjxafUcJFnizGKJSsFgZb5Ef9xGkSVkSfQoCjk9HU6KsF0h6jiYCBVvWZHYbU9YnpWYqVgYmpKtrc39Ie/fbCEB7YHHf/lPnydnquJscwIK6Wf0WfyAwzgeIGeqzFZy3Ev7MoOJj+/H7LZvZvXJmUqO2Zr1mXXKeslk2xU5sq7J0xx5iofice6VckFnpyUJ9wjp8c6AuVoeQ1cyzt2VMzX+7uoeYSRi23rJ4MO7XZJE1AaeP1fnVnoWzVVNFEWilzpirM8Xubk9xA9jJOC1tVmaPVsMNKoyz61XubMjyNCFnMb5lQq+L3KM1bkCbhBhp+fYxdUqH94SLnWyLPHDV+4LsQhnrDwf3+0CULQU5uu57DrOLpbYaU+w3RBZgjevFNjcH2X11YurZT68Lf7W0BXOL9+vLeqqzCepUxHAYsPik7tJJmj86oUGXioAfFp8dG9vmLlolXIqeVNlktYwn1uviUHr9Htamy/STodmFUWQem+nA+jlgsFc9b5g08mcbG2+RHfoilqpBJWSycd3OiSJyKtmqjk6aVx2VLRavEeFd643cdzw/meb1ptOckN1XTzXYc42X7e+0ADHUX7qFxXn+jagUhRx7OE9c5rA+dcd9bLg5w1tHwk4s/hkXD2fJv6P/+Ql/s1f3D32b8/6AAfAf/yra1/1JTw2lhr5rNcgSfDqxW+vo/FTG+Lo9XpUKpVTf1cqleh2u0/rUr7R8IIoOyABdtuTbIijXDC4cqbOxAkoWtqpJIzvvbDAbNXCC0Ia5RxJAuWigaEp/MMfrHN7s89eZ0K9bHJzq4+iSJxbqlCwJqzNl1io59nv2KiKjK4pLM8qGLrCuaUKlaLBO9eEJdH6fIm8qdEfOehaDZAwNDH1++K5Br2Ri6bIGWELRKPzxXN1dtoTZqrCmnd9scJ+d4KpqazOl5Ak0VxRFVlYHnedVMVD2LOXCzprC6VjjdsfvrzEfN0StoclkwQpaxAXLI04gStn66Lg6vjkczp+6KKpMkuzBQqWxmzN4re+s8p2c0ycJBTzBkkC+x2b//wn53nvRos7OwMW6wVu7vQwdTVNLsUBPVsTwdqltSqdgYvjBczVcsSJKK4ausKVM3XGTsCVMzWCMOal8w3aAwddUyinr5cR8nIavZHHT95YpTNwqRUNJFlCU6A1cNFV0ZBDkpnYwr52da5IwdJ5wRTOHxdWK7T6Dpapsn5kAvpZx2uXZqmVDGw3FOSFRCT1h9PSXyYOG6IgJqvFEImBqsjc2xuwcq6eNQeX5goMxz4T2+e9my3q5RyuF/LLG01WZ0vIkkRv7HF2scSVMw3afZucqfGTN5YwNI33bjTRNJliTqM39miUcxiahKGp7LVH2K6YOE+ShLOLpVQpSSjxSZJEvWwyX89zcaVC3/GwnRBdlVlfKLO5OyAGvvf8IpIs9pne0EGSBMGrVNAxdJmLK1UmjpjCrZVyvHF5jokb4Lhh9pmbhsqVM3XW5ktcvdXCdkMWZvLCbmri4/kRBUvnV19eIkGiXNBYnSsd+87m68KxxvMjKkUDTf322JFOMcUUX28spKpkEydgY2/4lbizTfH1wuX1OgVT4xcfH9Ao57BMld32mMVGHkWGvKnjRxFJHFMtGnQGHjldQlZBSWR+8MIC//TXL/CLD3b52Se7dLoOYyciQSi4FPIaKzNFzi1XuHymSqUoSMrDic9cLYcsS1lzNIoTdFU51hR3vJCZSk4o7yvyMRXpc8sV/g+/dYmNvRGeJwhjL56bQdNkoiShWjYJw5i1hcIxl4CLK9VsePvTCs3rC+J8j+KEesnE9SPRhDmStzx/ts7YDsjnNExdoTN0UWRp2sSc4pnFbFU0JT0/olw00DWFVs/BTZWQTE3hytk6/bHLbjNHLyWCyrKEJCWoiowky1i6jG4oaLJMf+igG5pwt3NDoigmb2qcXarw+uU5bFe42BRyGq9enGOxUaI3FDnoxAmx0nywP45YmikQRQmtvsPa/IP1g7ETZOQDEkG6nKnmKOQ0nj9bZ2QHFHLaZzYvH6VW8bj4rL1nebZIPqcRBDHVkpmpf37Z2GtPsiGc4cRP97npEPq3CYos8fL5Bv2xUIg7OuR7YbXGbsfGdgMMTcINEiQkQRDyheIrCPXIlfkinheJ+s5CifWFEp4fsb5QwnEjfnZ1l0re4D/9jUtEsVDBfOFcDUlW2D4YUbJ0lo+QJHdaNqWCgeFHqKrMYOKxvlAmSRKKls7aYonuwKVRyQkSYbq+Ro5PEgvl/krB4OxSBcvUkGWx9g66wqlzsZHHUGXeu9Uip4t94VA5OUHin/zgLLvtMQVL4+UL9wdBNFXm+bN1+iMPQ1cwDYWCqeH4EevzRS6t14jjBNNQKeV1ukOXMBJOpztNMRwRxwkHXfuha+3kfmF7YbYfGbpKZ+A8Vrxh6ir/8PtrbOyNsEyViROysTvA8SNmqzn8IMZKn2plrkghpxFEMbWS+dBh18fBxVVRWzz8Dp40lmYKwq0liKmWjOmg+kMgyzK/9Z1Vbu8O6A5cPr7TwXYDxk6Ikn43cQLzVYODnhBvsf2AMIwp5U2qZQNDlTB1jWpJ1HsXZ/K8cXme2aqF64fsdWwUKRWKkUBGNON1TeGgM2GvPWYw8SjldOJEYqs55MZmj1rR4MrZGSEK44bUSmZ2bhctjShKuHcwIowTLENFQtS48zmNzkDUxFfnS9huwHPrtYws9dvfXeP27gBNlVlsFBjZAXHqjJ2QcG9vxOp8EdsNqRSMhzaqDwebQIg0nXTczekK//wfXeaDWy3yptgzrt3tcG9/SLVksjJXYrZm4flhljvkc1p2fYYm3M8ehtmalRFeDuOzozjMWzoDByklPouzXeLCqnAejmOhajzNU6b4ukJTFV44cr4+SYGrk7m9/Cln2+b+KBNnShL4ZKPzwBBHf+xlg55JAgcdm+fWa1w5U8N2Q14412DiBo9dG9jrjCGB4cRLHY4McpLEtXs9akWTpZkCw4nPueUyeVND15Vs33rzyjy1ksl7N1qULJX9joPjh1xcroAMb16eZ6FRoNWd8Lfv72S9CxBuE2Mn5KXzDWYqOXaaBpomc365wrmVMtc3egxGPoW8Tn/kYZkqc/U8v/7KItttGz8M+Z1fOYemCeeR/sgjihMaJZN6ycTUFGplk8WZEoWcIKW7fsTIDng+SVAkie7IIYoFMXg48fgg7T/9g++uZ5+PH8bc3hkgS0IB2fVCfus7S+i6Qs5U+c7z8/zJLzZoDxxePtegVDQZTDwsQ+PM4sP32JKl8w9/sH5qPCpJYvD2cWo9M1WLf/gr6+x3bBqVHHOP6MJyGo7WvdYXipl68zcJL5xvkLc0dltjzi6VWWh8Osnu3FKZatEgjgX5+ehgoqLIXDlT597+EDt1nRiMfCRJ9GH9MOLlCzMsNAqcX6mwsTdCUSR2mmOKlugZen5Eb+gyW7NYXRCxRRCI3vybV2Zx/ZgEeH69jixL3Nzqst2ccHapBEi0Bw7/+Ifr3Nwa4PkRxbyOKkMUgywLoYq1+QRVk7mwUmVlrkSlaLC5P8wG070gYm2+wA9eXsQyxfn+yvkZtltjoVgugawqVAs6200b2wlF/B4mXFguYOU0fu3VZYDsnrbdAFWRUKRFXD/MhHZADPWbR+KMaxv3+THDsc/EFc8P6ZpYrz12PjLFNwumofL8mTpLM3kOeja6qnBusYx6gnArSRKX1mrMVCzOL1dQFIk//Kvb/P/Z+68YydI0PRN8jhamhWsZER4yZWVWZVVXl2hFspscNpuz0wvOLpe7WBC7A1Ds3i7AS4L3BHhB9GKwGIDACg4xPZTTPWSralFVXTozIyNDu1am7djRYi9+sxNuoVNnZNkLJNLdw838HDM7//n+73tFydbRVZmBF9EoW/z61zd4506bIEiolHQcL6JaMNFUiTDOODwd0h+FzDcsuv2QNE147dICq3NFVhaKaKqCrsoMRwE/u91GVUWa91FrRKNq0SibrC+W+aU31/jB9SPafZ/luQK2oVGwVI46LvsnDu2Bj6UpFGwdRZa4sFrBC0Sy1pXNer7eXFqr8cP3jqiXTWRJCAdv7fb41S+vsVC3ubQuEjPKRf2ZCZGTGiVOUhrjXuCvfWWdP/nxPvWqSRSmHLZHLDULFC0VTVO4ull/Zl9zea6IbWqEUTLbI8/wVHyQz4ptjvvr42SFD9I/tk2V3/iFTXaOh7ngS5IkTrsuzarNnf0ey40iYSzmBL4fs7pQJE0yirbG+nyZo84IXZOZbxQ4t1pn+7BPrWyy1CwQhgkDN6JaMri2WefyRj3vO5Zsc6rHdn61xv3D/ljcraJIMp2BT8nWWagVmKtZOXdIliRMXSGMUjaWS7xyrskPbhyjqjJr8wX+8If7tHreODlcYWWugBckWIbCxlKZc8tVugOfq5t1KsUHBio9J0CRJaolA1mSiFP4r75xjtt7PRoVi6+/uoymyuydOGytTtdHybinOMHAi/nf//o1rt9rUSrovLo1hxfEDEYhBUujaGk0qyF+EFMu6rx5ZYEfv3+CF0a8ujWHrj/oLzxuT7bkR3lvZvtwyPJckShKKVga20eDPKmj3fdZW3iQ5nvYdijbOoaqiHXZj3nr2iKj8WtrPcSF+9Uvr3P3QAh3zj+ldn8WHuanHrZGMxHHMzC5ts9+Zl40RHHKyxfqHHc9DF2hXrGe/aDPGU7bjyZxDAYB5Y/R4OLTgKZIRGfSLI97T04e/ryiXrGYq5l4QUy5aBBnH30+8qLiUxNxNJtNbt68yde+9rVH/u3mzZtPFHjM8HgkacbO0YCRF1Evm7lQQ5HFcHdCuNIe2sAVn+Mm8KQhhutFSLLEwA0ZuiHdoU+jLBbjpUaRl843x8NGKY98UhWZ+ZpNdey8qakySSKalfM1i/m6xfv3u/nfMHUFTRWPcbyI98ZK27XFEpoq06gI8tlp16NeNilYGl++tsjJGXK8ZaroqkzfCfHDhPsHAw5bDrWyybVzdfwwYfuoPXbzkMgy4dKhqQqaplIuaHzvnSNafY+FRoFXztfRNYX1xSI7xwMR+yjL2KZGpaBx/V6HnYM+840Cr1+aZ/d4mA9dNVWm54QiScGPGXohqiJiKbVQRlWmh1DyOLGg3rHyxrQkiff1aOyKXC7orC2UkCSJuSdEQi41i09svl18+AcPGa2cjX970vO/6PisRClnr0dFkfKoYctQadZsGuPiJstStg8HdAc+5YKGIku0eiJ+u1w0yRCxqOWCwdXNOqoqsT9W68ZJwmKjSH/ok6QZhqFhR6LR6QYplaJGwdRR5JiRL8iaQzfCtlQM3UBVZbJMqPCLtkalZFCwdZabBWplkbqhKkLklEkZ9bJF0dbZPlQIokQ4ViJIC82qRbM6XiPG6RklW3/EHWSyLi28Na0KvX6vnQ83igWdV7eaT2zAfBpJKjPMMMMMHxSyLHFprcqPb55yc6c7E3HMQJyIdClFlgiimDBKaPU82j2fNIM4TfIEijDKSLOUJAItk9ENiZe2mtimyvpymZ/daeGaCVEycVo2ubhe5c3LC7x8oYFtamPSopffJ1VFftTVMs24d9Bn5EXjZDo5d2V5eC+xtlB+7BB7oW5PuWuefZwsS3k98DQIEemD3ytYjzoRnXXYBJ4ajz7DDC8KHq5jtXE9ftxxOWg5VAoGQzcUtXacikhZSQxjZEkmk6BQ0KmXLIoFDUVRKJiacLUP4rFjrMF8vYBt6NPOmaZGFDsctBySNKNe0vP0DSWVpo7pcXj45w8/9wcRYzxPr+KD4HnWns/C5UhT5Qfx0mMTihl+vqCpCuWiQfkx91rLFK7tlaJBnMaMTjzSsepHUWSO2iOCKMHUVQqWynxV3AeDKOZf/acbDN2Ayxt1NhYrbCxW8ud/ab0xdQzXzonv/TBm+3BAnGREcYIXxHhBjDYWeU6I2bIsMVe1WGoIA5KRF+VubYoiBnYZEMQphq5MJU0sNgosjh/XGwZUCsLRbyJImaBWNjn3hH6krinMjwl5mqJwbqUq/kESa8dZU44Jsand9x55jifh4fXi4fXow9Qbtqnnr/PNne5Uf+3htbP2MZOxJr3FTxIvokvcZwFdV7m62eCoPeLOfp+MjDAUqTaaIo970TqNmkS1lNEe+Iy8iGrZwDY0OgOXo7ZH1wm4slElTjJ+eOOYpYaNaWj84L1jOn2fjaUS33htdep91xdKJGlGrWxRMFVOuh6X1uuUbEM4Opam16Cz9+0gSmhWH/SmFUVGU2Xhojt2mNRUkYxXLuhTa8mkfzh5zgkmok9DUzA0JV8DH4ez6TtPulcWLZ2vv/IgyejKuQZXzk2vdQ/XIpP343nwrD5jfexC3B0EU8c9uzZmeJFw9v76ceLhvf3T8DCZyDYe3Q88fA+fkFaLtp6T2Z5Frpxap+YK1EommqJw5Ljc2evTHngYmszaQjlPp5ckiUrJYGW+hATcPxxwcDpisSHmOOdXKrnARFaEwC2IEsI448c3T7h+r8Ol9SrzdZuRH5NkmUgLiBPSTKxRwjHdoGRr+GHK7pHDcBTjeBFRkhInGSVLxw9iWqkgy8jI/OC9I5aaBZabhdzYztBF6snGUpnLG7Wpdcw25eleytT7XuLauQdOl1EsZlNeEBFECYYm0jUqJYPl+QKy/GBNPiv6AFjlyQkcZ1G2H9RJD0MZz5Q/CBoV67k/c8/Ck/peXyScW648VWhzFs+6njVVZqlRoNP3GflCkKUqIgG0UTHzOfXaQpmVuRI7x0NcLyKc3Od5UIuYusL6JElFglcvzlMtmbx7t8X/+z+/D8Bf/eo6tqWTZeR9Ek1V+eq1RY46bs6PkCToOSFBENEbhZiGyk9vtej0Pa6ea9CoWvhhQpJm4jk0hZGXYJvi82SZGrqmkCoKC3WLUsEgCmP2Wy5RmBJLUC6IPkujYpGkGduHAwqWRrNmYZsaC/UC+6cjsU+KElTlQY/l7PX5aI9gmrSkyNKs/zkDpqGyaBRZbIhryvUj7t7vkGYZq/OlfO8+8iJOey6yJFEt6YBEdxigqzJpllEt6qzOlUnH9xRVkdk5HlItGrkw/CvX5vmLt48AMFSNWtng5fMNjjsjfnzjBMMQ95vLGzUurtcYjEJaPZG+Vy0aVIoiuWm+ZvPXf/E8t3e7vHu3zVHbY6Fu0RsEWIbGXFUIvcnADWIGowjXF8lczjhJBCb72wJ7Jw+E3gVTZe/E4Z07LVRV5qsvLT5TwDHBw2KouZrNueUKJ50Rt7s9hm5IwVGZr1k0K9ZzE+erz0ghnmGGCT7IZ8Uy1Efq5eeFG4jeQxAmmIbKXM3Oe1OH7RHlYgKIz3epaFAY14pZloEsalVFFgnhc2NDF4A0y7ANjep47xsnCScdDz+MOe74VIrWVI/NCyKyDMIoxdCyqRpeU+Up7lAYJ/SdkDjJGDhC1PxXv7YJCPOokR8Jk5tM3C8HoxA3iAljMdc8W1+6fsTO0TBf+6I4ZeRFeY/ztOfh+jGS5JMkKZfWa4+tj2RJ8LqSZNKfFevrL772oB/x8PtULuhTyUBfOpNa/DDO7snSNOVnt1ucdl3majZlW6PvBHl/pGg/+Bvy+L05ewyqIqNak7pKnXqtH4aqyo+k8H0YnO0Tgeh1zfBsfJRr+/MATZUxdI31BbFufJQkl88KhmZQtFSCSFxfhq68cAIO4JEZy1Kz8ITf/PxCkSWGo5AoyciygLL94gmbPi58aqvCN7/5Tf7lv/yXfPOb3+TcuXP5z+/fv8/v/M7v8Eu/9Euf1qF8IbB/MswHpq7vYJkqtZKJqshsrVXZO3aQZYnNpY+n2TR0wzyObDgKSZKURsXCHLuurC+U8iKhWTVxg4jeMKBgabnABGBrtcq9gwFpmrE6X6Rk63h+TKvvs1i3uTKOJsuyjJvbXeJxhNnNnS6vbjWJ4hRdE7GqlqFSsnXW5kuUbJ39E3HO58apAvf2+8IJsGSgKDJpmuEHsSC7Jxl39/tYpog3T9OMc8sVbu/1kCW4sy9Up30npGRrnF+ucNByeOva4jhauQBkvHO7RZSkqKnM3YO+SC5Yr6FrIjp9Y6nEv/vTe+OIOInbez0urFTpVkVEcdHWHhsJfGGlwv3DAXGSsjJXpDsMOG674/dbOAp8Eg32GT5ZrC2UiOIUL4hZniugyDIn4+jTS+tV9k+FEKPv+Nw/HAJCRZ2Oow01RebaZo29E4cgTriwXOHcSpX/8Kd36TsBYZxy3HW5sFyhVjYxdQUviMbRv0INjwSXN2vsHA3xw4RmxSJKMiRkbFMlywySTLhYCjdNMWS9vdfjtYtz3Dvo5z+7s9+nYGrsnTq5on7kRRRMjS9fXSSMUgZuyLml8iOE0efB+eUK9w4GREnCcrP43A2YGWaYYYbPEy6t13IRx1//+rlnP2CGLzR2j4d0BwH1ssnu8ZAsy6gUdA7bLqY+dmbMUrTxkFxTJMI0I82y3IHmz356gG2qBHFKEMWkmXDj11UZRRZN4MlwXpYlLq5V2TkeIgEbj9kbHJw6Z/YVMZWiQRDF6KrC5nMOdTeXytzN+oRRwnzNnkWGzzDDR0C1ZGDoCvunDmGUcuS7HLddZDlDkkUGtqZIqKpYJ6I4I0mg6/i0+x6GrjJwAyRJGDRYY/OBSsFgbbE0Naxs9z2+f/0oT4YIw4RLGyabS2JPLZzodRbrj2/8WYbK5nKZo/ZovGZ8sckuHwfO7nGWGsVPJRFyhs8XFurCQX8wNuk4S8j52kvL3NrpMxgF1C2b45ZHmo4DriRBukjTbNzvq+B4IZqi8F/+cpudYxE5/RdvH/I3v3meSlGIsp7WF7yzJ0ScIPbytikGF5ah8NpWQ/zNNGN1oThFon5/p0s8HiD2nYBk3FdL0pQnmW1HccKt3W5uwGLoCtWSgRfENKvWcw+xz62UubcvrqHFRuGJ11CjYjHyIrqT3uRnOMCY1UkzzNdsvnptgTt7PQq2EFr7Ycxis4CigC1r1OdMZEWiVhRpyt2hTxhmxElGu+ezrQ8pWCZZlrF/OqI/CugPA8Iope8EaKrMr3x5Pd8H3D3oMxj370Z+xFzVYuCGXFyr5uYw8zX7EaMVEEKLl883SNOMoRuyuVRmY6mEogin+N3jIbIs5XuLs2vJpH/4MOm6ZAtTokkfdGPxyX3CC6tV7h30877400RYnyWKlsb6ojinZ623M8www+OxtlDi2vkG9w8HlG2dN64sPPI7JVtndaHIadd75vrxJEytU7s9Xr80x2LD5kc3jgkiYbR22vNZahb5ytVFto8ezOYMTeHmTjdPELuz38c2NSxD5eJaje2jAatJgb0Th5GfMHADjjsj5ms2cZzyV7+6we999z4Hpw4gsbpQ4qULdUZeiK4qIh0wThl5HvcP+6SpMNQzDIXVuSJDL6Retnh/pyPIeGmGdjjgF15ZIopTLqxWURUxZ6qVTFbnix/J8GrnaJDPepabBRwvwtQV3riyMCXgmGGGCQpn7oeaIucJebkgY4zD9oiTjkj2cjouQRSzuVTJxZ9ff2WJv3j7iCCKubrRoFoyieOY/8/vvU8w3nv8j39wm//73/kS9w769IYBCzUbN4jxo4SN5TK2ruIGMXGUEEYJURTj+jEjPyaKU0xNRpK6vH6xSZKk3N3vM1+3sQ2Ne4d9CpaKbWpIEiRJRoYQpXz91SV+evOERsVEkWXiOKVgqULQtVzmL987BoRo/QfvHfONMbFzsn9LsmwqxeQsZnPQGT4Mbu30CCIh/rm12+X1S/P510ki9uY/u91ioWZz/2hAGCacX62ytVZDVWUWajanPY84SdlaKSON+w2XN2pc3Www8mLuHPRZWyjyxqV53r3fodX36Q4DBk5IpaiTZRmLzSIrcwVURWJlvgCZxFKzwLlxf7A78Pnuu0d0+j7DUcidvR7riyUMTUHXRL+hYGrIisTNnS4r80VsQ+PW+F496UP80pdW6Q19Tnoeq3NFXt1q8m+/czfvL3znJ/v8zW9e+NCv58X1KgM3QNMU1hfKZGTiPr9e/fBv0gwzfIYYeRH3Dwb517WywVzNynuR/82vbPEf/uwevVHI1Y0ar27N8f13j4iTjGvn67n4gSwTRqx1m3bfH/PfyuwdD0WKT9Hg/e0Oxx0xX/z+9SPmqlZ+b/eDWPDuxtdqlmUsNOzH8ghBpDi4QZQn6obRg6QJSZLye6qSpoBEMr7PplnGw7fZW7u9XCQ5GIU0KiYjL0RVhKn0zR2HMEoIooQb9ztcfYLAWJKkvOYH2FgsP/Ge/lHx7r0Ot3d7gOAp1ismWUp+jhdWa7R6HmmasbZQmkoWP7dcodXz2D1xqBZ13rjyZOHIxwlVkbmwWvnY+akzfL5hmxqbS+PEng/AJfg8oVBQWajbQiQqwUrjxeTfmobCyBdrnQTMVV+889g57hElYp0LooS9U+ezPqTPDJ/aTvAf/sN/yB/+4R/ym7/5m3z1q19lcXGRo6Mjvve971Gr1fhH/+gffVqH8oVAGKVT3+cuDQg3tI/T9Wn7sM9Pb50iSxKVoiCUyJLCUqNApWTwyoXm1O9LksTGYpmNRTEQ6g19dE2hZOt5NNRZTGJGz0IkCjw4x74T0B36LDYKRHEioh/PDHCqRWOcHvDAUebKZh1NlUUsaZRgGRojP4aMfLg8GAUkSYYxdtfp9D26Q584TlFVmSTJODgdsdIssjJXZGOxnDdA946H3Nnt4YUxcZKhqwolW+Otlxbzc+gOfXoDcf6qIlErmawvlqbUx5NN9lnYpjalFJ4UhU97zAyff6jKo4rms0rIiWL9z392QBSnRLHYONimxlsXl4iTlPsHA16+0CRNU+Zqtoj0tHWGboTrCUenkS+EGyvNOrIk0nm2D/vsHTsULZ2vXFvk1a05vvv2Id2hjxtEVIo6VzZEBPnk89od+rh+RDJuokRxShiluH5EnGQULFW4S0XCsTOKUwqmOo6ANPm1t9Y/0utlGipXz9U/0nPMMMMMM3zWuDQWqN7c6T7jN2f4eUAYJfjje+Zc1UJRJEZeTMnWRGyqrZOmKUEY0yjb7J1KDL2QNE0BkZhRKZqoskTBVEnKFlGcoKoKL51rUC5OO7yAcHd75SkD/CBKCMI4r5crRZ3FxgdzYNE1hZW5ImGUzNKxngHXj/CCmKKtT6WXzDDDBEmaib13wSDNMvZPh0RJimVokAmzgFrZwA9iOgMfRZEo2xpBlKAoMqoiI8saK/NFvv7qEqausTYmYPeGAd2BT7VkIEkSd/b7dPs+5aKOIsvousJrF+c+0PHO1+yZK+QHwGyPM4MsS9RKBkmSUisZyGdUD7Ii8dbLi3T7Pp4fcmO7i4ros8lI1MsmYZRiGypFS8uTdP/9n92d+htnic+6pjAYhUSxuEefFWOEZ3pLYZywtlBiZQ4MTbhpNasWaZZRKTy4t6dplgs4QNQR83UbZUzqCx7qV07ue8o4CXeCJMme6vj29u1TTnser2/NU68+6HGausrKfJEoTvLksCdhfbHM+uJTf+VTga4pXNmYXfc/z5BliYVGgfm6TdESxN+7BwMKtkajZCLLEr/9q5d4926bwSjkuDPih++fEEUplqEiSRJRktHqjjAMkbTlB3HutpZmGa6fcNwZUS9bVIoGfSfkpOuClHHSctlcLvOrX9l4xpE+QKNi8ctvrj3y82rJeER0dXYtyTKxBj1OeLHULDyXI5xlqE90aP+84Wza0AwzzPDh8Mbled54ijstwHKzyPJjkuf7TkCcpFRL5pQT7QS3d7vsHAsSWtkWa1eWCfdxJJFIMRG2gXCADKOEq5v1nJzl+hEnXZe+ExCEMRkStqGw1CjScwKWmwW2VqvYt1uc9jyGbpA79UZJylKzyP/j//RV3CDmz3+6L+qhTCQK1RZMKkWDg1OH/iggTTLSDHRdoWjrvLI1R3fgUyub3NjukKUZSZqhpBlRnBKECfWy+Yir+MOIYjELNTTlmY7iZ2fPjYrFV19eeuT5Z32NGR7G5H4YxQmDUYgsSQxGAbIkkWaCDD2pFxRZZrlZZHW+SLlo0O57lAs61ZLJ118Vc9BJne/7cS7ggImbuMbljTq+n7B9NMA2Vc6vVqd6GQenDgVb5/3tDkGUMhiFKHKaJxC2hz5vXlnAMlR6TsDBqUOzNt5rmSIR5uxeZaFm8dWXlqiVrFyQraoyr241+fH7J7hBDGOOwkQwFiVpbohx0HL4zk/2+cXXlh9Zy2Y9ghk+DIL4Qf0dxyntvpt/LUnCMT6ME3RL45XzTWRZYmu1ytpCiXrF5PvvHlEvmzmn5uJ6laKlMRiFOF7Eb4zNyHrDgN7IR5EgjjOiKCVJRV6oHyYYqszqfImNpfJjuUmnXTdP3wnjhCBMkGWJxUaBRtWkO/CRJAlTVxmOIuarFkmaMhyE7J0MGY5CTjoj5usF/spbG3k/s933pvoLnv/heTN+KNLSl5uFqUSwxcbjBe8zzPAiIHyISxbFKRfXpntwf/c3rk19/ze+cR4QdV6r75NlGYoiI0kSq/MlVucfCKkvrFbzr39y6/TBk2TgeFEu4gjjNBdwgOghbi5X8r6IIkt5XVmy9fHc9MGcYeSL9UOShBilWRXXparIREnKSsnEN4QBchRP9yPDKGHkRaSZMMRqlC1Kto4sSRy0hsiSMMmzZFVwCJ+Ckq2xOhaclGyNOJmYaSiPzGOfhTTN6DnBODHJmKrT3XENMYHrR6yfSYjTVJnluQJZJtI+kjSjN/RRFWGC/ZVri3zl2sN/8fkwOacJr/OD4OPmp87wYmC+br/QxuNemLBYtymNr+GCoRKGCbr+Yu1vFUVGkRKyTCSm754M+MpLS5/1YX0guH6GTAYSSFnGydjg/kVDECU4bohlqFNJqB8En5qIY2FhgX/zb/4N//yf/3O+853v8N3vfpdarcZv/uZv8o//8T9mYeFRh5UZnoy5mkV36Iv4dVV+ZpPuw+LG/Tb/w398jyRJ8YKEb762xMiLUBWZ/VPnqUVJnKS8e7edC0w2lsosPOcirigyzapFq+fR7ntEccrPbrXoDHzWFkroY0cwXVPIsowb2x0cVxQ1iw07d/gwdIWd46F4nTSZa+frBFGC58d4QUyGGBwrisTeyZCd4yGWrrB3OmJzocTAC1mZL/B739umXjYp2Tor80VOOi7v3m2TZBmnXY/CuNB8/ZIQtJw9JlWV6TkB1aLBYqPAxlKZ97e7pGmG+pzv3VzV4rQrVLWKIj02vWOGLw4WGgX+/O0DhqOQMEq4tF7j7n6fLMtoDzzevtuiXNBpdj3evLrI+kKJW7s94iRBlmXSJCWIUvZOhxiawknP4y9vnCAjcdgeMfJCLqxW2D0Z5uvIJCLRD+Pcackax5HC2BFYU5Ak8p+VCzrWVQ1Zktg9GUImXHc+LWX3DDPMMMOLgEvjxtjeiSPSimbOuz/XUBWZnfE909AUNpZKBFHKac8TQ0XHB0nCUBW8MKbvBHjjWtoPfd692+Kl800WGxbJ2H0ly8DSBbmrWbU+8L7A0Kbr5ZcvfHDC1HHHZftQiI4NXeGl840pkugMAr1hwM3dLmQidvml842Zw94MU0jTjPfutek7AW4Q4foxUTQhGqTEaYamySjI7BwPicckH8eN2VgsjoeiQJbhuBH/7jv3qJUM1hfLbC6VGYyEI3e1ZNBzAq7f63Dac2n1fS6slLk0c5ibYYZPHMcdlz/4wU7ei/qVL6/nvbLuwOdPfrxPmmZkaYyENB5CZpQr+jjFC0xd4dVLDwxVvnx1nv/lL7bF3t5W0TWZO3siYdY2VdzxMNI0hOhz4tS20LDZGyd4NComd/f6+XBUVeW8N1Au6FzeqAkxiSwxV7PyFK/NpTJ+mOT9qrOmJX0n4P0dcd+TZQlTV/DHdc3CU9yt/uOf3eWPfrQPwHd+vM//7b/9EtWiqG8OWk5+zJYpiN6PI23OMMPnCaddl3/9X25y434Hx4uwDBVDV/D9iHvDkKvn6rxzt83ACXjnbhsviDE1hX7ik2SQpRmmIXN37KQ5MQg67XiMfJGiI0lw3PY47Qp3zO3DPvcOBrmZwI3tDvf2B/z933rlYz+/s2tJydaxZilTM8www6eAnaMBR+PhftF2p4QXAD+8fsS//oNbpGNTt2+9scxivShmGoaKoSk0qxZHHXdc12TEaUoQJ6zOldhaq+a1zN39Pu/ebY3Jqxm7xwOCMGWpKVLB3rw8T7moE4TxmFiWIEsS9YpJrWyQphl393r0hgH3DgcUTI2NpRKaqrB7MiQIhZlXtWQy8iMkSaRgIMHWepV232epWeCoNUKRZQqWSsHUnmveGicp1++2c2O4zeXyU0X483WLoRdCJmrHh2fAfSfg5k53TBKReOlcY5YuOAMgkvfeudNm5EfsHg2pFHV6TpgToVfni8iycNFWFZmMjOt328ADnsNxR1zTkzq/WDS5sFrJ9zaX1qoUTEG2/JOf7tEbih5HkmVTIo562eSo7bLUKHDSdVmo2xy1XSxDpTMIaDgB/8tf3GfkR9zZ61Mu6FRaOm9eFlyVrdVq7oS91LTZOx3RHwqzSceLWKjbzFVM3r3bxnHF+WqqjGEofGksSpvM9W9ud/iznx1gGho/uXnK3/9bL3FuufppvCUzfIGxULPz62XkR9w/GOZfFy0dTZVZmy+KnuHYLV9TZUq2xnv3Orh+xFHHpVmxWJkrYukK79xp5yToC6sVHDfizl6PH908od3zx0JGITRUFZmlRoGRH3F3X1yfczWLc2ecuFs9j9O+TxglYsbhR1imSm8YsLFYojvwcf2Ydl+YuK7MC4L09uEQN4h4526Lmzs9kiRD12R+6Y1VXr88z9ZqlVrJmOpLbH3IfqbrR1y/1yFNM8IoGaehq8jydG9jhhleNEzqXS+IhXD5AxgwGZpCd+DT6Yue4LMI/RfXqvzoxgkAlaLOwhmTg6IlzOsmAsdq0eCdOy2SRCRnzNdsjrsuZGJ2urlU4v3tHiDExJ2+z3DMASxYKiMvFN9L8OblOfZOHOIkRVGk3FBxgjhO2R+7uTerJmma0RkE49dH497BMO+BXn2G8cqdvX7eI60UdMI4Fa8tIlnwecwqQHAIb+5289TUWtlg5EW5iLpa0lEUIcRTVZnXLs7RHQZ5Xd45874UCxpZSv7aLjULrC188MRCgCRJuX6vjR+I/cL6YmlmVjHDFx5FSycDWr3xWrdSfuEEHCD4zmMPCdIEXjv/4nE1y7bCmdyCF3JO7Qcx795rC0MPSfDDnjd5/iw+1c7KwsIC/+yf/bNP809+YVEpigQML4zzzdgngR/cOBm7xkhYhsJJz+fVrebYHRSkpwxKh244lRDS6nnPLeIAOL9SoVExefdugqoo7J86eTNTliR6TsB8zcYL4lzAIf6On4s4gjBhc6lMEKVYuoIfJFw716Dd8/DDiCQFSQJZkmj1PBplE0mS2FxUWKhbbBVq+fMMRiElW6fV9bg33pBWiybnVios1C2unmugKuKS8sMkP6YrG3V6TsDVzTorcwVkWZDjvCCmaGlo6rNvBLap8cpWE9ePKJja5zZGfoaPB7IEX766wHv32hiawny9gOtHVIoGp30/33hZhkp34LG6UOLbX1rB9SOyLMM0NYqWhipLdIfCvdvSVZCgYKrc2u2ysVhmsW4LN8CaRblgUi4YwtHPj9EUidOez9piiSTJsE2RupFlsLFYIkoyLFPFGyd1bCyMf2YouH6MMSMkzjDDDDMAgig7X7c56bjc3u3x2qUP5nA+wxcLUZKysVgmilMsQ2F9sYymKpi6TBgdYpsqaSoiil+92ODeQR9DhSgBJEgzGAUxl9ZruShZViR0TeGVC3PUy+YH3hcEUcLGYpkwFvWyF8QfOE2j1fMePF+YMHTDmfPKY9Dqe7nzUJJk9IYBi41ZzTTDA7hBnNfSVzcbHLYc0TRvFnDcCNtQmK/bbB8NeH9PQsmANCPLMi6u16iXLaIooWjr3N3vE0QJbhDT6nmoikR57KbfGwbc2e+hyhLnV2s4bsgvvLLExfWZ++MMM3zSuH/Qz92ZkyTj/kE/75Xd2e+PndRS4lhmcS4jSUBTJColc3y/TrAMFdcT/UCAX35znbX5Eq2ux9p8gf32g/vy3f1+PnjzgwTHi/L7/HKzSLlgEMcpXiCGhn4Yo6sKJ12PpfHjBqOQME5zp+VzyxUaFYssy6gUDbHWPKZf1eo9uO+laUajYlG0NRRZeqoL9Nu32/nXIz/mnTstvvGaSPGdkDQAPD/G9aOZO+YMn3vcOxzQGfhYhvj8pyl8+fICkiwxGIWC7JTBcBRRtnWKlsZys8C5pRIgc9wZIUkS7jjV5uJ6jYWazWLDpj8KKZoaJ10vT/a5d9gfG7YIN0pdk0kzuL3X+0TO7+xaUi7oUyTqGWaYYYZPChOyBYDjCgffs26HP755yjiwCFmWGI4ivv2lGiVbrFOKIvHqVhNNkdkpGZz0PFRFZuhGdAY+SZrltczIE3VOO/QxdIV2zydOMpoVC1lK2G85fPO1FZYaBV4638gJYaJHo+B4QqBfKujUSgaaIjNXtekM/Hyuoiqw0iwhyRK6JlO0dAxdwTJUlhoRl9ZqOF5AmgoHYE19dqoGwHAU5gIO8bp5TyXyNSrWODUhpWRrufj37OOzM32N7jBgaSbimAHoOyFRnDLyxMzwuOOiqSIVsGjp+GEyNRufCDNAOITvHA3yuaLnx3h+RNHW+b/+7Vf54fUjJEXOU3sOT4fIkkSpIEzmjjrTbq2mofLKVgPHi/jSlXmGboiuytza7SGN+QBJmtEdBCId2RbpyCddj40lja+9vMTGYklc51WTt2+3kSSJ5bkifhhz7VydKE45bLskacqF1QpRnHJhpYJlinOwTY1Xt5r8+c8OsAwNWRYC/R/dOJmJOGb4yNhYKlOvmMRxOpUAXzA1Lq5VUVU5T9Z45UITRZEoWnrueF8uCONGVZG5dq5OdxhMudif9jwcN+K465LEQsBYLRnUyiYbSyVe3ZqnaGm5gAPE/eFhEYemyHzpygLX77apFDQaFXH/aVYtRl6MZWjYluA0fOnSPLf3e0RJyv6Jw63WiChKiNMMRYFbu13WF8ukyxmyLPOrX17nsD1CU+UPTTbuDoM83VDXFKpjcciMizPDiw5lfG0P3Qhdkz+QI3gQJTTKJtZY0CQ/wzjl2rkG8zVxTS/NFdHPzCdlWeLKZp3hKERTZfqjB4l1WQZ3D/q50WycpGwuVVhfrOAHMXNVi3fuPugPHnfcXNRg6gqKLLG+UMKPEkxNwQ+m0zRUVWZ1oSiEx5KEJEtYprgfv3evTaNq4YcRmqrSHos7HockzXIBB8BBe5S/NiDWuucVcYRxmgs4AHaPhlP1fJpK/M1vnKfV92hWLIq2WLcndfmP3j/Jf7fV9VBkOZ8Ht3rehxZxOF6UCzhA3ANmIo4Zvujww5i1hTKWoSFJYh8cxynqJ8S9/qSQIURxwkQLvn/jkAsPido+7xi4CZaukKQZmipzc6f3WR/SB0bPeXB/IxN8kM+9iGOGjxemoX7iDieNytkPlcTGYhHb1PINjfkUJZqhKTBeLIZuyGnPI05Szq9UnnvAWika2KbGrZ0epz2XwSgkjmN+9L5owC42CvzD3349d+8A4f7rBzF39vsctBySJMsdiScFXbNqUTwx8phk0xCN1D/72QF+KNwOX7nQQO14XF6vIkmgqzKOF3HScTlojdg7HRKOxSEvnWvScwLe3+3ScwI2lso4XshJx0OW4dxydapoMnV1ynX3p7dOeX+ni6UrfPP1FaqPIb0ZmvKxRxP7YcydPUHuWajbrMw9Gkk9w7Nx1Hb4d9+5x8iPeOVCg1/9ysZHej7LULENjflaAS+ICcKI4SgkTlIkMkaeEGt4vkrB1ukMA7wgZuCGuH6MhI+uyZz2PMJQNDiiRBAuZFnOHTcMXaVk6ZQKBoau0Oq5wokboU5HEjf6xUZBpG0cD7l/OCBOUhabBVRZwtAVZAmOOx5RklAtGfz09iknXY+yrTNft/jznx4A8K03Vnl1a5q8nCQpd/b7uRPIueXybNg7wwwzfOFwaa3KScfl5m53JuL4OYelC7fHOE7ZORIOWbap0XdCugOf055IyCoVFFo9jyBOSBMhOpaATt+jOwxo9zyWmzZZJtEZiqhdMolvvb4MPLnBEMUJt3f7eGFMoyLIoKauoGtKPpgwPoTThKErueMLEh97zXoWXhBzZ69HGKcs1m2CKKE7DCiYKhdWq5/rBJCH904f5rWe4YsNQ5ORZYmj9oihGzLyIuI4Yf/UxdAV4iQljB1++v4pfvhguBolKX/6kwNqZYP/6hfPo6kyQ088vlmx0XUF23yw/1RVmXJBpzsIyNKUOElp931K7dHnrkHfdwLuHw4gEy5QtU8ohXSGGT4tlB5yMy4XH3xftFRaXXH/1xWZoRMy8CJkJGRF4u07LdwgZq5ice3cdHLW1lqNrbUaXhDzH767zfbREFNTuLxeY/tI7OPrZfORe3TxTEqcqsi5MKRoP/h5Rsrv/uFtDjsjmhWL/80vXZhyZT7br+oMfHaOBiK1Q4If3zzG8WIaJZMLK+XnEopWijrt8YB04sw3gWWouWGMJPGxECu6Q5+dQ1GXbSyVpxrs7b7H7vEQWZY4t/z8/cwZZjiLkq2haQog0q0Hgc+f/HiPIEpIUuFCPVezWGhYHLVcDtsjkjTjykaVr1xbJk7TMVFBJHjUijpFW2djSZCkojjh7sGAVs8jTVJu7fXpOT6aKqEqMooiI0kSRVsjiBLu7PXww4S5qvXYIX9+TUgibefh6/aoPeKwJQhTF1arWIY6tZY8D1w/4s5+nzgWTvaft/pjhhlm+Oho9z1+8N4xjhexuVTm1a25j2xGd9J12T9xaPc9Wn0fTZEp2hp9J0BVhMhtcq+ulafXrpOey//r379Lydb529++QL1ioSgyS3PCSXzgRsRJiq7KKDLc3u2yfTTED2JMXUFThaAiy0RKgBfEKIpo1hQtIQyZrJeHrRHX73XoOwH1soGqyOyfjiiYYi442ZsZusJRxyVOUhwvYvfYoVzQ+cZrK1P1iG1q2CbPTQK4vdflpzdPkWSZV7eaIMHIC/iLt48Z+SGrcyW++fpKvoY/jMnfO4ssy7h/OODeQZ/BKGSpWUCR5afOiGf4/MNxQ/7kJ/v5dfrWtcWn/v6kNpYkURuf3RNMPguT+twyNOIkzY0MJ3PxyWzc0BUYPXjuUkEnjFK8MOZkLMo4t1zB9SO2xz3URtkU9XrZJBybVsiSJJJrEJ/T7aMhra7Lrb3eWKjh0ajYLDUKrC4Ueft2i6POiDQF21Jx3IzimNR59nyWmmJenqQZIz/iuD3C9WMsU+XewYClpk174HHcdukOAtYXixRtXRjqAV6Y8D/94S3u7vfoj0JqRZP2wOMvrx+jKjJ/69tbH+5Nm+HnEtuHA9oDH9sQ/W+RqiE+r7qm4EcJR60RcZLSqFqcX65M3ZeOOy4/3jlh/9TBcUPqFYu5qkW1ZKAo8iM96j//2UHeR7B1FVWR0FQZxw25uy8Spb7+2iqqIuMGEe/ebRFEQsQ1X7PwoxQ/iFEVGU2RgYw/+uEeXhjTrNj81i9d4LTn4QUxmiIj1W3+4p0D4aofp0RJim1odKSACWWgXDTG4vSMW9tdRn5MrWSwOv/huS0P38NKtj4zpprhCwNFkfPaMY5TvvPTfU57Hs2KyVdfWmL7aJD3BToDj3/7nbskScbXX12iXrYojPf4pq6wfTSg3fexdJWttcojJsXNqk2z+oTjkKX8OM4KiwHKtk4yUV0jaoPJupWME38npNiSLVzzJz3CCT+wON5fPJx4b+pqLjzOyBg4Ia2+ED5Ui4ZItzPF36qWdG7udB/LV1Jksf5NhG62obJ9NGDvxEHXFL728tKz34wxVEUe1xQukgSLDZsf3jhm79TB0lV+4+ubHLVdBm5IHGecN7WputzU1TwBxNAV+k5Ie3xOW2vTb4AfxvzJj/dEKlrd5s0r89w7GBA9pgdjaAqSRP56vSj1/WRW/LhzmmGGZ0FXZXaO+nn6z7Xz9RdOwAFA9uDaTVIeWQteBNi6jB8mgqeapMzXPrj44bOGrskctUeM/AhDU1h8Sgr90/CJKgD+xb/4F/z2b/82CwsL/It/8S+e+ruSJPEP/sE/+CQPZ4YPgd/4hfMMRhF7x0OW5wr8xi9s4gYpBy0HVZZZX3yymtM2NbZWqxyeOpx0XRoVkyBMuL3by+NEnxeaJqOqMrqmcGOnS9cJsQyV/VOHf/OHt/jtX72UH9PaYol7+31GnnDja/c8NFVmqVnICR+yLCLV9k9Es2l9ocRP3j9FliQRiZxkeEGMZUj0RyGvXZxDkiTu7vdpVEzu7PeI44xyQcPUVYJQuPwYqkJvGKBrDooio49JOE/jpLd6Lm/fbgEQhgnffeeIX/+FzQ/0+nxYbB8OcsLd/olDpaA/l3vPDNP4ve9u5wrsH7x3wtZqNR+kfhgs1O2xQ7dKZ+jT7nmcX6kIoYYTsFC30DWF5fkiqiwhIYhYQzdCliSQMu4dDNBUiSRNkSSZ1fkiYZRyab3Kf/3ti5z2PQxduODIknCAMXQFMjjtudimxkLNRkIiSTMaVZPuMKBZMTnpecRxypXzDbEBAnRdRo6hN/A5CGIMTeUkcPnDH+xQr4jI0d//3jZX1utTMWQHrRG9oVC3t3oeRUtj/gMk9swwwwwzvAi4tF7jT396MOWKNMPPJ1YXSqRZxsGpQ71sosgyO0fDcRNQNCWzFHqDEMNIKZoyIz9DlYWAW5JkDE3m8HSEN77fRnFCrWRy1B7x09stvvKUgevuscPQFU4vx22Xsq2z3CySphmuHwtHrQ8xqNhcKqPIEkGYMF+3P5CzzwfF/YMBri8ale/cbWPpCoau0ndCDk6dPJHv84iP47We4YsNTVWYq1nsHA2QJQlVlmmPfIqWSsfxiWKV406EG0wPPFKhv8b1E35w44hfeHmZ88sVjjsuBUvlrWsLLNQL7B4L4sPqfJGttSo/vH7M/cM+l9dryOP1qFI0Hkvk+axwe6+XD2vu7Pd5o2g80wFshhk+z7h2roEfJpx0XObrNlc3H4gxKkWdUkFD8SVUWeIwiPOh4XF7xLnlKook4QUx7b7/WEHEUXvEcduFTDi83T8acHm9JoaOiiA8PA7VksH6YoneMMAyVV6uNtg/dUjTjN2jIfePBgDsnzr88U/2+fVfOPfIcyRJyp29Xj44uLXbJY4zFEnCD2NavYBG9dn7/b/z1y7zP/7nW/RHAW9cmefSmZSgc8sVdo4GREnKQt3+yMLRNM24s9fPjWFu7/V488o8kiQRJyl39/v5+dzZ6/H6pRcvknyGzx5XNxsM3YgfXD+i3fNwg5iRFzEaJ+pKkiAozFVNjjtunnxz2vWJ4oS3rgmChSxDrWSy2CxMiS/SDFRFOLffOuwz8kMKlobrxVxer4AkYeoav/Xt82wfDvL06MPWiErRmCIsPv6aWMj/3fWjXIwexSn3DvqPiMqeB/cOBnjjmv7zWH/MMMMMHw1xkvLTW6d5gtatnS71sjnl0P1BEUYJ98dr2FHbFXM3VawhF9eqxEk2NXv8W986jxcmHLdH2LrKYDwHC0KP3//+Dn/nr1wGhONmECUYusLQFeRTSYLeMKRS0ImihK2VCvM1Gz9M8IOIZs3GMhT8MKFZsbl27kGt4voRd8cGc2SwezxksVFgrmbRcwIurlexDY1yQWc4ChiOQvwg4qg1YmWuQD+D775zxG98ffNDvU5+GPO9d47G9UvCj98/4Ve+vMa//s83cbxwvHYPqJfFvup51/DOwOe061G0dYIwIQgTrmxWZiL7Fxx/+d4xnb6Ybd7c7rLUKDzRxflxtfHZWX/R1jm3XKHd9yjZOpYhiIa2oVIq6I8QWdbHfycIE5pVi0pRZ/toyI37HZrjmeKd/a5Iz0Dsif787QPWForYhsrVcw1u73UxVIWXLojPcWfgc9Jx2T4asHM0xBunnXpBQppmBFGMrinMV23CKGVtscTACVAUmUvrtcd+nrMsQ5UlFFkYPWqqLEiD+300RRhkTFzO5+s2q+Pz+rOf7LF7PGSuKrgR3aFPqaBRK5vc2O6y/v7JB+ZKzPDziXbf43gsbBrEIXsnw6n76eWNWu7Ovtgo0On7FC3tQSJnGLN9NOCwNRImkUAQxhi6kj9P6cz1e/egx0nHxdCUcT9O4kuX5jntuQRhQrmgc9hyuXGvzaWNGr/33fv4QUqlqPP2nTYrc0VW54vIkoSuK5iawt39Pl6UEMUZx12XG/fbGLqGbYrkp07fxw9j4kTsjQqmxrffXOXduy16o5CKbfDLb6ywuVxl/9ShP3ayP+2K9aZZtT7UazupAQaO2D99WMLdDDN83vHuvTb7Jw4AB6cj/uiHu8yNxRCHrRH/8x/fJhr33//gL3f5B7/9GiM/RpVlSgWN7bHxyTAO2T12OL/y4Wr6etnMe4+2qbLcLLLfcvD8mHrZnOpzKrLE5Y36FJ9v5EecdgXHaX2hxFHHZTgKKdqP8osurlXZPRmSphlzVYuf3WlhaAqKLLO2UKVc0Hnvfod62eTrLy/TPctXsrUpQ5nLGzX2xq+fZSj87HYrF5EctUc8L7IsQxmn7smyRKvnczpO/guihO9fP+LNy6L/0hn42JZ4jc6e087xkCzLmKvZ/Oz2aX5OD+OnN0856Yi92M7REMcLaY7TkHaOhpQLej7HNQ2VrdUqx10XTZE/1zPWs7h30M9nxQ+f0wwzPAu+n7Bz5ExCxLk/XudeNKTp9Kx4OIo+oyP58AjjJBeSSRKE0ePnV59npCm5EaOhKXlf/YPiExdxfOtb35qJOD6HcP2InhNgG9oT3Vu6Ax8vjPmVN9eIkpSSraOqKmUVyoX6Yx8zwciL6I8CEdu4XqPr+MKdA4lKUeeoPUKWxUC0XjKnEkXCKKHd99FUmUbFFBGlTRF1ZhsR3aGPIktMVtORF1Iu6FPHFCcpP719ysiLubxR5fxKhTBK+MnNExoV4TJWtDQubzx4TJplYpMnwcAJGYwiLFND02RW5otUCgbDUUh/JFIPmlWT5TmxCV1qFvHDB4tjGArHnoKlIUlPF3EE0QMH1TQTEc3HHZe5qoUsS/n78PDr9HEgeWjhiJMXbzGc4P5hn94wYGOx/Kk3jsMz7yGQDyFBkBhOex6SJBJglMcQjnaPh7T7HqvzRZpVG0mSWFsosbZQwvEifnrzlKEboioy83Wbkq0TJ1muTs8y4UYpIXHUGaFKMmmWkmUqUZxRLWlcO1dnuVlka7XKKBTRibWyiaYKN76TrocfJpiGSrlgEIYx9w/7XDtXZ2Ms1jpoCcKoLElYhpor8AEW66IZtHc8xBmff5oKV+AHr0XGdAkhrtVWz2PghtRLBvHCLA1mhhlm+OLh0rqILby50x2TdGbk059XKLLExmKZ447LwAnZPupzb7/PXN1GUSRsQyVOUtwgRY1TDN3ANmXW5guM/JhW38P1YzFAVCSMqmjOeUFEb+hz2B6xczQgGxO5irY+1fiMk+maJU4yZFm4ck2c+T8MVEX+SGSMD4I4fXAOWZZN1bMP17afN8iy9MI0QGf4dDCphf0gRlNlirZOwdRYnS/huCF7Jw6mrmIZCgM3wPEiBk5AGMVIgCSPs3ckiTQbP1/fpzcKmKvZbK1Wx471En4QUykadAcenYFPs2rxy19e42e3zam47GddR14Q0x0K561Pet+VphndQUA87kdoqiCgy8zuozO82HjjDFnnbM8gTgWZKYxTBo6PdPggXytJoXrmnu54Ye6E36iY3DsYMBgFBJFoeqdpiizJxElGwdKIkwxDV5/a91lsTLuWXVwTNezu8ZA4SYniFFURIpLjjpsPDSd9jjTLOKsRCaN0qg7pOj5//KNdNE3mq9cW2T1xHtvHqRZN/vYvbxFG6SMu2hPn/8chyzJOex5pmtGoWM/l9p3BVFM9HfdYxGuYEScpg1GIhPTIsURxQqvnoyoyzao5q/FneCJcP2J1vsiltatcv3PK//Cf3hMJuFmWkxIhoz8KUWSJgqGSpBl9J6Q3DLi8UeeNK/NTz9cZ+NiGRpKm9J0ASZKwTQ1JllAkSdw3FZn5WoFf++o61ZLJ0A25u98niFJMXSGMUo5aDgWzijJOs8uybOqaSFLx/URAmaQZQzfg3sEAU1d57eKHS5pM0ul9SfLQPuXTQHfo4wUx1XES+AwzzPDR0O57hFFKvSLu6Ulydi15tB/xQZGkGWSixgExRyzbOooMvaHYK5117m31A/7KWxtUigbf+fEuf/72IboqE8YpnYFHFKd5rbDcLOYEqXbf485enzBO0FWFuZrN2kKJpebjnV39IKYz8DF1lXrZJE4y0jQljhLaA5/BKKRZMSmYGkmSsjxXZGEsCNk+GlApidT0g5ZLlGSEcYgk89T+YZJmnHZdJEnC0hUcPyJJhDGIpsgkaYbrR0hISJJEo2JRLhrYfZ9BHOAFEbtHgoAXRAmdvkh2b1SeTIKd1JB9J2DohjSr1szt9guAKJ6e2AVR/ITfFJ/Js7X+467puZrFXO3Rz9Fhy+Gnt05ZqNt5woXyUC8xyzKqRQNTV9E1hTTL6AwC+o7gAMiScONOU1GnbyyW2VgsE8YJIy+m3ffyz2mciMRR149IUtE7DMKYk57H5mI5J2ZuLouv0zTl9l6fn9w8oTrukXbHxn3nlsqoqoxpKCiSxGlXmODNVU1URRjk6apCwdKoFHQUWcLxIo477nidUdlcroxJ8w9m/F74eIJVHKe8v9MlTVMur9fQ9afzAiY9GgTXnoKpPVf64QwvDh7u0yUP7eltU2NtoYR+xhk/fmg2H8cpvWHASXeEqgjjx9X54tSeea5m0agY/OzWKZ2+j6rA0I2RiimvXmxw1La4s9fHD2IcN+Sk6/LqxTnmqlbOi8iyjDgR64osi5Sc+ZrgPWiqkq8hhy2XSslkdb5Iu+/T6nuEUUKcZNRKBssLNnGa8fLWHG9ebOIECZIkYejqI+f/UesLUQN8pKf4wEhSwQd6uKcywwyfFMIowfFCHDeiYGlYpsLQDQnjhJKlEyZp3ptIM2h1Xb777jGmIfPX3lqfeq44ET2IkR9RLhiPpHI+/PlOxgngmirn9ePZGnLjKfOyh/l8AEExwdRVFEVmZa4IZ1oSd/f7DEYBm0tlygWDSsEgzTI0VcE2NOx5caySBL/05hqvX57HMtTccPbsOZ7d29imls/5908dNFXB0FIUWZjhnuVGVorGE3sNaZph6iqr84J7df+wP5VuHEUP90mm1ztdU6gWxTmpijR1TrI0zQGdJIdM8DCf7eF7S61svnDi7Idfn8/7fPiLhufdR35eEUURcRzj+qIm11Vw3QjbfnH7gzJCiPaiIc0kdFUmyVJUWabvvnhClDhJqZXM3Lzzw65Hn6iI48aNG4/9eobPFq4fcf1eJx/InFuuPNJUOe64bB8OcP2Ig9aI9cUSuqZweb32zM3/yIu4fq+db8TOr5S5vdvnuOPiuCGNqkWSZQxHERuLJY5aLi9faKBrCkmScv1eOy8iRn7EylyRuwd9amUDRZZ46+oSp727SIhor1//2uYjx/C9dw750Q3hOrBzNOD8cpkfvHeSH9PXXllka7U29ZivvbTIv//ze5i6iiOFyLIYVG8ulbm102NzqYwfJZx2PSxDxfFE6sFio8Cl9So3truEUYqqyqwuFLl32M+dhqpPec2WGjZzNYuTjkun73NhpcL24YC+E1Au6Lm72WFrxMsXmh/ZZXDqbzcL3N4VLoklW//QxL3PGu/ebfPjscvEe/c7/MYvbFL9FJ2N33ppgd//7jZpJmLvLq5X83+7sd3N0066Q58rD200bu92+e47R4A4j7/2tQ2aZ5wpTU2mN/Rz9bdtqhx1hKtmnIihqyQJV86bOx3ccYSersqoaoxtKARRQrVsYhoKt/d67J869IZ+Tm6QgHrFwjIUVEVBAu4c9NFVlYF7zMX1Ogt1m6P2iFbfx/UjdFXm3bttXtlqstwscnuvR5pmXFipoBxJDN0I01D46kuLuWr15a0m1kPxe34Q8+7d9tiVXOal8x/cvW+GGWaY4fOOC6sVZFmiMwho9/0P7Qw0wxcDsiyNHST7/Ox2CzLh8JBmGX4gHPYVRcIPE9IMLAP6bkgQJvSGgSA8ZWBoKq1+AFmKpyoiflxT6A0CkKBcECkbF1YreQNlqVlgMApJ0wzbVKmXjZygACKZ7aXzjc81iWllrpi7fK/Ol4jiRNTgiszCLM1rhhcIaZrx3v0Onb7P3smQgqWx3CxyfqWMbapkWUbR1knJuLffp+eEDJyQKE6IBX+JLAUkkMnwgggCibKt897dLstzNn1HuF+edFx+dON4vM4kWIbKuZUKr1xoiGtqvw+ZcOIvmE9uE/lhzPV77bxBvr5Y+kSJO3snQ6JYmDx0hz5fe3kJVXkBI41nmOEpONsziKKEnhMSJymqqoAkEY4NQxbqFqoqE8cpBUsjDJM8XeeHN47z/lOcxPSdAMeLkSW4WrPHggsxtDX1D95TurxR5U9+so8fJOiajGWobB+KZI7OwM8dnDVVYaFu5y6hb720wNt32sRximkofP/dQ7yxaOxH753mpjIP93EOTp3c4U70wkTP8Fm4dzDIBxUnXZeXzzefmdyjyBJLzQKHLeGctzxXyB+jjRNPJ69tufigPkrSjOv3OmOhnBDVfFqC1hleLHhBPNWH/9HNU5JUpFgkSYamSWTjHl8YpRRtjb2TUZ7Q8c7tFq4f84uvLXNuuTL1fK2+h6rIlAo6N7Y7mLpK2dYZuiEjP2LkRcRpxh//aB9DU6iVDe4fDkjSDD+ImatZlIs68U43v44VRWaxYXPUFtfxylzxoeso4y/ePmQwipAkcZ28svXBWU+P1B/Wp7v/OOm63D8Q69jB6YiXzzc+dvOkGWb4ecLu8TC/lx61R7yy1eTccpneUAhMF+oWSx9x32AZKvWKSZJlJK0RQZSwczxkOAo4arvomsK1cw2Gbsju8RDHjXKBZ6VkIksSrX6ArkosNoq8d7/9SK2wf+qwf+IQRAmHpyNWF4oULI1m9fGzpjBKePfM/mh1ochSo0CtbLF7sofjRaiKRNcJOOm6SMDh6Yj7BwNURSJOMg5bDstNm4W6TavvkaUZy80i9w4GT3Q5fn+7g+NGQtQ39CmYGqc9j5W5IiVLQ5bIXcpX5wVh/qsvLXJwOuSoHRNGCWGccP1ehyx7cP6uHz8xhaFRMXn3bouf3DpFRsINYpbnik/8/RleDLx0vkm7v0eSZONkvifXs5qqMF+3ORnX+hMC4rOwezzkj3+8B5lI1P2lL63maRVnsXM05LjjkmYZeydDVFVGVWRqJSM3PryyWUdVZQqKMKhs9Tz2jh2aVUEuX2zYWIZKo2xy/V4b21TpDkJURaI/Crk2L9IGl+eK1Msm9TFZ8XvvHHFnv0934JOkKYau4voR8zWb+4cDdFWmM/C5c9AXwo0kQ6LCQctl4IYMRgGX1mqYukqzatLu+8xVbd673yHLFKolg197a50//tEeUSyE7q9uPV4I+0c/2s3rsO2jIX/965vIj3HYBtGjefduG8+P2D4eMle1qJVMzq9UZvOHLxDqZZHW5/kxiiKx+BhR4ULNpt33ieMUXZOnHORNXaE79DlqO2wfDynbOu/cafPGmbS9Cf787UO6jk/PCegOfDIyHF/nd373Hb79pVVOey6DUQiZxPnlhFs7Xa6dq3PUcgnjhIW6zcqcuL4tU1yLAL/85iq/+8d3SBJxz5FlcL2QP/nJHovNIt2BT2/gk6bCpf6//GAXS1dBkvju24f88ptrgOBZrC+U6A59kiTDNJQXkjh6a7fLYHyfPttTmWGGTwrlgs7u8ZAozlCHPudXKhy1hTmLF8S8dW2Rv7x+DMDmYpH/5799N084uLs/4H/7a5fx/BhZlrAMhfe3uwBIksPVc40pIcetna5YJ4DTnkccp7mgwPWjD21yFkaidp0It1YXilMpFT+9dcrbt1uA6LVe3aznPTtrPAvtjGenzao11adZqNuoiiwc1HWFIIjZOxZ9ycneZjKTmKuaxEnCYBQiS7C1Vp3iRlZLRi4KOTgd8dL5Rp46qmsihX3SZ/zaS0sM3YhWz0NRJL71pRWyjFxs/jCH8/ZeL39u21SplQ2643OqV8ypc5qvWxycjgjjBNvSePPKAkftEVkmkqAfFt+8iFieK+QpcdXSo4KiGT45RHHK9bvtM9f2k/eRn1dUKjbdUZRzkwcvqIBDkmRAnEMKvHGx9tTf/zxisWFxe8z7SOSUL51/8c6hUbE46br4Y47Pk0xAnoVPpTMdBAG/+7u/y5e//GUuXLjwafzJn1ucdcZ6EibErTTLkCWJnuM/UgD0hsJhYuRFpGmG58foqkLPCagUjae6wHQH/pQbx0HbFQkCNYssTQmjhJEXiUZhJJTzQzekUbFwvGhKBdobCEe+ckEnTlI0VSEIY77x6gK7pyM25ouUSo9uzo46LgVTI0OoTn90RsABgqD2sIjj8mad5bkS791v4Qcprb6L40V5A7bd97ANlc2lMptLZdI04+pmnUbVRJZlXtmaY+SKuMUwFiory1BRZPmp74ksy/yVt9Y57rjc2unlA6PeMJhyIUuSjOEoxPgYGy+1ksnrl+aI4lQkObygroH7pw+irZIk47A9+lRFHK9dnGdzqcRgFLHcLKAoY7V0nOZkDBAJLw9fozvHD449y2D/dDQl4vDHUcLlooEiiaSNc0sV0jRF15Q8BnixURh/3iRkWSaKE964NIdpqKzOFbm4WsHxYjw/ZjASzlR+kBDEMUVTJwhjrp1rMF8z+MnNFn1HbHpkWWL7cEDR0lhfKo9TeTSCKMnPr1oyeO1iM/8cvXShSc/xKdo6pq5y1BabnMXGoykb7b7PQkOo8BVF5qTrsfKczd/nRTa++D8Pn+/nWaMfh4nL0Yd57AwzzPDZw9RVNhfL3D3o8/5OdzZE+TlHkmbomoKhK5i6EFtaqkKSieH6YWuEZajYlorvx3zllUXev9fluD2iVhKkrKJtYOkKlaLOfKOA60XC9SpISJMQTVNwXNEo7Q6DfJhRsnVeuzhHFAu3GlmWcqEoiFqk74SfaxFHvWxSvDhHnIi6I81EBLyuKTNy9wwvFMIowfOF00uWwcgTg5GhG3HtXAM/jHn90jzv73TGbvAZWQpDL6Q0dns0FJF+VyhapHGCrMgUbQ1FkaiVTBRFDG6zLMP1Y0Z+RMHU8IIYP4hwvIh62Rwn/T17T+i40ZTDUc8Jniri+LC179nnb1QsSrYwG3gRB7MzzPA0RHEy1TMYeTFvvTSP7ycM/ZDdY4cgjlElQdL+rW9fwHFDVFnm5m4vf9z20QDbEPdux4tZaRbQNBVdV0iTjHNLFeIkwdDVPF1TfUJKxcPXrej/yfzVr2zQHwWULJ2e+6B2cNyIOEmRJQlZlthYKjNft5EkUQNfWK3iuCHDUShEo+OYi+3jAdXS3NiNX57q45ytTeJE9B0eFnGcPc7J12ed8/wgwQ/jvN552rmuLZSYG9fnZ0ncQZQI1zxDRZJAOUOe8oM4HwYDj7j2zTDDBJM+/AStvs/55TKDkRBaXFqvIssyQRBTK5voqowmC3JglGQEY4fs/VOHc8uVqb7+yItQFRlTVyiYGo2qScWu8vqleRwvZO/YQVVlRn5EECbIsoSpq2iajDtO4ZMQ13EYJfl1tn7GofphYcP+qXDvrRZ1JEnitP98Dm+T3tyktzW5v0dxim1+/D3pZ9UgZ6/ZNM0YjMKZiGOGGT4Czl5Tk5nB1lqNpWaRIIopF4wPtF+P4/SRWiXLhIHUcrNA2dZp9VwOTkekmVC4F20N21Rp9z2csXNjOHYeb1QtfuXL67x954QrG8K4wg8SXD+iaD8wNpuch6EprC0W2Vgss9AoPNEhe+iGJEmWz0t7w4DlZpGFusnyXIE0zdBUFV0TphMTN8bu0KdsC/LUueUK83WbL19d4HvvHKNrCuZjHIEfvL5Jfn6OF+F6MWkizD5GXoSuKiw2Ciw3i8gyFCxxfhdWq/xffus1/r//+YZwRFdkojilN/TzGqznBE8k36iKTMHSmK9a+cxz/9R54cg6M0xjZa7I3/rWFq4fUi2aT9wjTLC5VGbhTK3/PNg7GQoXCoBMfP84EcfkM18tGhRMDTeIqBQMaBRYbNi8fKHBfK0wnpVlXFyrCrJeBooirtH+KOSl8w0MQ8EyVIIwyWuhatFAU0UvtVmxuLBazWuFiQhNGOpk9B0X0xAphu1+wPnlMnNVW/T0s4yFeoGTrkelqCNJwtF7YrC3fzrC0MTf+WtfXUdVFV7famJZOpc3anQHPgu1wmNf6zRNOWyPcjf03jDA9eOpdeoshiPB4XCDGDJw3JBayaQ3DGbzhy8QVEXmpXGf8Gz/++zs2zRUXttqEkRi33/2vuWFCXNVG9vSWGmWUBSolQxOOi62LvoGE+ydOGQZnF+p8BM3xNAUZEnG9WP6js+FlSqdgY+uKmSIdKaL6zV+89vncdyQctFEQtyrDE3J0/5+9SsbvHyhwWFnxHt32sSphCyJPU7R0LAaCnGU0KzaVEs620dDdE1FRiTyjLyAgmXQHwaYazVeuzhH+Jhz/TzhSVyqNM1yAQc86KnM5hozfJLoj0IurtbwoxhTUxmOQs4vl4kTwTfaWqvytZeXiJOE067L9987yR971HLzNUhTFXFfZ7IGSfSdICfPJ+O99QStnoepK3k/recErPNorf+0/ftkrXO8aCp5Z1J3Tx67f+rk/xbHKduHAxYbBdI0xfNjLq5VWZ4roigy/WEwxZcMooRXLzbzdeX63fb4fFKIRY09Mbr2goSXzzcEb09XidN0mod46lAYz1fTVPD7rDO9hnPLFRYbhbyW+j/8+lUOOw7Vok6laJEkqVjLz6yh+Tk7Qf56uH7MxfUaK3OCY9Ubn9MDSFNrs66K/cjzzIBeFEz6Sl+kc3pR4PrRVNrL0/aRn1dsH/VQJAltvI8gk+j1faqVFyuRRpJFTZVmghv9l++32dp8VKj7eUYUi0S4IIyxdJW9tv9ZH9IHhqbKvHS++ZH5Kp9KZ9owDP7pP/2n/Pf//X8/E3F8grh3IJIfNFXm8kbtieQry1DZP3UYeRGaJjNfX3rkd2xTo++MhxdOgDHewBUtTbjRnDoossTWajUvWMIo4f3tLq2eR3foszxXRJYkmiWTKE447XmM/JhayUSWJU67HmkmYhFfOt/g5o547P6pw3KzgDaOHwWhSk3TjOv32gRhQq1s8PKFJvcOBry/N0DXZC6tPzjnhZqdO80oisTlczWu3+3m51c/EwXWGwbc2e+RpBmrc0XWFyv86U/3Gbohg1HISrNIq+fRHvi4nhCb2KaGoSvMjd1+wzDmv/xgj3ZfNG1+6Y01+qOA47aLLEtcWqs+9b2TZZnFRoGTjkcQJeP3QKVo6wzHDVlJEj/7uKGpCpr68aV7fBaol01OOuOhoQTNz4DcUylaVIrTf1dVJAxNyd9Ty5wmD9zd79PqeRy1RzQqVh4jOEHfCbix3eXOfp9ayaBRsaiVjXG8qTwevorrpGRrWKYGSDD+rBi6Kj6vlka1ZDJ0h3z33UOO2y6KIuO4ASMv4ThzaZRNTrou64tliqY2tSnQNJnbez2O2i5pknLS9fCDGFWVed0QbjFnP0eqKk0JUR4n3pigVjaRDwfI48fWP+aYvnbf497BgCzLBJmk9tk4dCdpljtrWKbKlY3ac193h60Rf/neEcNRxPpiiTevzH+uybUzzDDD43Fxvcrdgz63drr84qvLn/XhzPAZwQ9i3t/psnM0FGJjWRAcHC/G1GVkWcYyhQg4ilJ0XWX3cMjBqcNgFOKPxc6OGyEB2SgkzcTmsOeEBGFEZxASRDHzVQtdU1lsTN/7NFWeikovWhqd/oMN8aftgvthoGtKTjJTJGb3xRleSGiagqbKOfHB0MV1WTA1ZFnCNjWSJKU3DOkORBLF0A1xg4g0BUWGUSwGGV7PwzZk1ExBQkKRhYjDtlTSVAx0dU1BliUReT4MeS/ssHfqsL5QZn2hxPLck2v2CWxTRSw+5Mf6OCRJys2dHkM3xDZVLm/Up9ad58WEXDU59g+TIDDDDJ9nqIo81TMo2hpHLdEXUiQwjQf3u0bFxNRVTF0lilMURcpFVc2qhTsWgtmmBoaWP05WhGBCuOvqDK9HHLVH2IbKL395jdp4D56mWe7oZhoKCzWb3ROHLMsoF3R0XWFOFzVF9czlrKoy74/TRIq2xuX12tRwcnLMpqGSJBl9J0CSQFcl/vK9I8IopVo0+LWvrOaPKVhaLm6RJKaez3FDbu72iJOUhZpFFGd0Bj6GrqCpEmO+O7Iscf9wgONGWKbK5fVa/pokScr7O10cN6JgaVzeqD2WvK2rytTadbZGMnRl6j14EeqnGT4bFM7cO/0wRpKg54TomkylaHBuqULPCRnJMu2+jyTB0I+xTZXhMKRgqZx0XV67JNIuLF3h4NTB8SIcL2R5rog2JifG7ZTuIODKZp3NWoXuMCAIEwxVZuhFhLEgLK/MlTjuuBy0HGolk3rFIssyLFPl0notv2YfRmfgc9Qa0R+F42tbfq4e7ElXJH4ftV0sQzhUL88V2Tt2iNOUpUbhYx32bh8NOO4IU6lLa9XHEh8LlvaAIC2BPbuGZ5jhI6FgCaE4MHboVfOff5B75MiL+KMf7dIdCALyL725iqmrdAb+2GU1y1Pt90+dMZlMRpUldFVBVxUqBYO+I9JMNUUkiIVhzE9vtegOfSS6XNqo0uoJx/35ms2F1Sog9juTGkRVZOpl87Hk0KEbcmunR3/kc2u3j22oFC2N1y8JUunO0ZCD0xF+lFApGFxcE2vyScfFNBTKRR19MktRZBoVE8vUqVesnJxWsKbX4e7Q585enzTLcLyI4SjgsD3iqO1SL4mEkrmahapIFG0NWZLH5/Tg9S8Xdc4tVzlqC8K6qspTjrVP2t9N0KiYUzONj3uWM8NnA9tUP9Ds2XpO0WOSZtza6XLccTnpurkzddHWuLHd4eJaber6Klhavi8yDYWirRGECX0noDPw+cnNFqrSod3zGLghRVvny5fn6Qx9ugOfwShivm6yczhAVWT6o4CVuRKaKswtnHEttH/q4AcJGbA1FnLUyibuqYOmCRfuSkknijMURaxnlqUiK2If4YeC4Lq6UMyTjh0vys0nqiWDWztdXD/G0BW+/soy1lhMVbR0FFnmvfsdgiihURGpGRMR2J39Hn0nQJFlSraOZShPFcsULFFn6qpMu++hqQpJyiyp+AuISZ9wgrP3xfVFIa5SFBn7MYQxQQQef859YXTgeCH/0x/dAiQurlf5rW9d4I9/vM/N7S5uEFG0NGxTQ5GBTEJXZRoV8TcGbshxZ8RRZ8Rp3aNcMLi0Xp3iBRy1Rxy2R6iyjKErtPsexx2XhZqNrmlk42u9YGlUyzo/uH5Cq+fhBjELjUVKto4s6A4UTBVNldk+GpBl5H/v8zoPmNQIT9rnTOqkSd1k6DNjqhk+eVQLOl3HJ4xSXDVmY7mMosgoipz33SbmSZapCrHvuCatlvSpNUhXFbaPBgRhgm2qbI3raBBpt6ah4I9TeMu2Tga5uEBXFX7vu/c57XqUCjrfeHWZ/Za4L1dLRn5fnuCoPWL3eIgkSSw3hfBhIpgwNYXr99p5b69S0PM5pyRBRsaf/HhPCMFXq3z56kL+3JapctBycNwITZX5yrUFVEXOr0UviPjTnx4QJynLc0Vev/QgPcsyVDrDgE7fR1EkNpemk0XqZfOB6csT+H1na6m9U0fwKwcBl9ZVbFN77FoOkCaZWPvJBJ9y3FeG6d4TiLnvpCc7wdm56hcFX8RzehFgGoL3OLm2n7WP/DxioSr20NG4t6/I2Qsn4ACQMiHgAPH/J6X9fZ7RrJpcv5eQZuBHCetLL5YgaALloXr9w+BTsxdaW1uj1Wp9Wn/u5w59J8hjt6I4ZedoyJXN+mN/N4xSKgVRbBmaMpX2MMHqfBFFkfD8OC88SgWdgqkJ5zxE4sH9gwGvjYuW/VMHL4gpWBppJpoba/MlGhVLPIcE8zWbWsmkaGtcWJUAiaKtc9x26Q0DkdgxdqRZbxZYPhMxs3fq5AVPdxBwTx7QHhdiYZSyd+JwaV2ka/y3v36V//mPbjH0Ir728iKvXZynXDDYP3GoVyxeufAg5v3+YT8fuu6dODQqJpWiga4poimpK0RpSr1kULZ1XD9irmZNkVyu3+/QHjuP9Z2Qt++0RIR9UUee2HA8A5IkcXmzxmFrhCxJLM8VUGQZRZbwgphm1frcbkg/a7xxeV405ZyAzaUKc58RUf9hSJLElXN1Dk6dfHMxQW8Y0Op5bC6JeOI0zXjrpSVWznyu7h8OkBDXY28YUC+L5JTjjksUp8zXbXRNYWOxjKbK/OY3z3Nrt4csweWNGrIkUbA05mo2tqlx2BqhjyOPh06IbemYekoQJjheRMHSiZOMOM348tV52n2f5WYxL3znaxnbR0NW54vYpkbBVAnj9CMVxi+dFxGhrZ7LylyRjaUPF6H4OGRZxr2DQV483j8c0KhYn4krx2nXzZ01PD/m4HT0XOcqxHGd/LF7J8M8NnqGGWZ4sXBpvcbvfXebG9vdZ//yDF9Y7J4MCcKE1bki7YHPK1tz3B4TERsVi6Kl8cqFBnsnwjWmYGmcdFwMXaWQgCLHpFkq7sOWRqVo5M675aLB7lFMvWwydAPiJKNS0HOnxydh4qI/8iJqZZNy4fHubjPMMMPHC0WWuLpZ57A9oj4mZ1dLBvNnhu0nXQ9DkykXdRbqNp4f5w3RIEhQNQlFkYiSFF0TCXyLzQJfubrAQqPA8lyRvhMIZ6q5AmGU8t69NkVLE67boSB7ypKUH8PTYJuCoN3qeViG+sRI2JOux3CcBuT6MYct50NFpZ9brmBoytTeZ4YZvkg42weSJIl6bBDFKf64t/bfbFzkJ++fomkyf+vbD0xxNFXmykad446Lpsq8ttXk3fsdHDfk/HIFRZG4tdvDNlVURWH/1BGEoyDmpOOiaypuEPPDGyf82lvrALT6Xk5o9oOEH944yU0m+k7I+mJpLNTQqZUMDlojsiwjTbO8N+e4Eccd97GiMFWRef1Sk5s7vXG/MSRJQVVSdE1mvzVisSka9OsLgmwVjJNJz5LJ7x8OiMdOX7f3+rkYLggTKgWdctEQLnySxHHHBcQefJJiAHDccXMH65EXcdgaPZZALp9Zp0Wf7sF5qYrM1c06R20XVZGeSwg3w88nirbOxbUqnb7PYWvEt99Y5e3bLZIk41tfWqZasnC8kP2TET3Hp9XzOLdcIYxTkRQzV6JaNoUTNcJVvlzQkWRJ9LALOtWiwbmlMn6Y5D2vc8sVFAkOWiNkWWIwEoRmkcYlTJaicdKNoSukiGt//8TJycwP495BH9vU+IWXl7iz12NrvcqvvbX51PNP0iwXVPWdgMEopGRr/OC941wActga0aiYH0vf2/Eijtvi2o/jlO2jYd57PIvlZgFZknD9iHrFnCIxzzDDDB8cG0tiPhHFKfM160PX7e/ebdEdiHqk1fN4736HL12a595BP+/x/+TmKQt1m7mqhRvGLNVtVEXB0GWWmkVqZRPb0vKZzNVzdf7gBzsiMWyxhOPF7J84bCyWUcYCunrFp1Yy8zlLGKWP1CBnsX04IE5SBqNICG91kbZasDQOWiO8IGGhbtPq+ZQLOqauUB6nDyVJyvmlCqWCgeOGVEsGtXESxpXNGscdYQy38lBtcXbOEccpaSYI4fP1DE2RqZQMSrbOlc06hqacqV+m92zfen2ZH988JYgSrp2rY+hqbg74rHpma7VGEsNRx2G+bufz2BlmeBxOuy6DUchys0iSit7DxlKJ5WaRgRNy2nWnkj3PLZcxdLH/X6jb6JrM3onDSddlsS4E5kEUc9r1UGSxB/j+9WOW5wo4bijSMPyYIEwpWBr1skmcpGytVVmo2xy1R7y/3aFZsXIxZ2fg06xa/OKrS/zkdosVr0itZKCrCic9F1WWeWWriaEp3D8acHGtiuPFGJrM1kqF5fkSd/Z6nF+psNQsUrQ0JAmOC/qYyKoRp9McjN3jYS5WEeuPSa1k5lyF17aa3DsYsjJX5I0r809NR7FNjUtrNW7v9ViZL6KOhWtJ+ijvY4YvFu7uP7gvbh8NaFTMJwoBNFXsXcu2zt1qH12VeftOG8aJL7d2evzhD3Y5bLusL5Y4bo/QdYX/469f4d37bZI447XLc1xaryNJEiM/JIwS4iRDkWUGo4DjrstyU9xDXD/K022GbsjtPRdFlgjChJOux/J8kShOkSX45S+vcWu3i22qrC+VydKMJEn5+795je9dPybNMt66tsjO8RDTUKmXTIZuyEnXe2JP8rPG/XGNAE/e51zeqOU9lVkvYYZPA0VbZ2OxTHcYUCsanF+poCkyfpg88hldrBf57/7rV/j337mHpsn8n//WS1PPFacp5YKBrwrxRBgnU/9+ZaM+9fmO4pSTcf+yO3zAaRyOQv74x3uszot+3Nn7Mow5j8cizSvLMg7bIy6t12j3hZFLmma0xv3IkRexMl/CMrW8N/qdn+xjGipZljF0Q/yx6AQE/6ZcMJCkMV/yoRnqccfD1MX9NAwTOgM/r1nCOKVgqsSxjqLIFCydlbkCvWFAwdLGNYf7oNfwhDStyTm3et74mFJ2j4dc3ngyB0iShSg7zTL08XFPhClFW+fiqkhLsk3tEXO/GWb4OGFoClc2apw85z7y84goVajYGl1H9B8qBY0oitC0F6s/eCY4HFkWtcdLF14sIcfFtQq393oMRyHzdfszM+b+POBTE3H8vb/39/id3/kdvvWtb1EsvngX8IuG7ClcrYyMoq0/tWCQJIkf3TjhtOvyxpV5Xrs4Dwj34AmSNOWkG3D/sI+ExEHLyRusElArmfSdgFs7XU66Hlc368iSjKJI2IbK23c8/CDh/kGfH79/TMHSWJkTRVq1ZKDI0nTk1cPndOb7KE44bDkULI3Fuk3BVPnf/frVqV/fWq2xtVqj1XP5i58dYFsaL51rPPa1qhYNquOEkUbF5KA14rTnEUUpJ32XIE4IowjT0CGDo7aLH8Y56SVNMyQJZEkaF07Tf+S06+H6InatWjLyn5u6mg+VJ3gRb3ifNmRZ5vVL85/1YTwWhqY88p5Gccr+qcNp16VWNtlcqlAu6pxfqeD6Uf75EKILmTBO2DkaoKkS6wsl1hZK+GHMccdl93iAoSmUCwZXN+ukaTb+LMrc3huSpikvnYdK0SADSrZOIcsIwliIrQwVU0/pjwKScaSfqSsEYcLA8TlqCzLJxdUq9YpFsxqzdKaxyji6+LjjEoQJjao1dgwOsAyVWtnMnZ0WG/Zj0ycW6jZFS6Nc/PhJo9nDF/g42nGCCanNMtVPtRh4Op12+vceewozzDDDC4crG2KweWu3RxSnH8qRfIYXH/kaLgliYMnSqBZNUjKqRQMvTHDcCEUWxIShG1KwNYqWga7LhAkkgnOIpspUijqVgoFtaiw1RaMwiBJ0TbhA1p7TFfHs0PSzwO9/9z77pw5XN+p8bZZUM8PPEUzj0f0fiCFnp+9z2Ha4vdvHGQmBVrvv4/nR+FpPMQwJDZUsSYnilChJ6Q19do77hEnKyI+oly1URRAcVudF+t9ha8Td/R5xkpFXps9RY/pBTM8JMA2VhUbhiRHV2UNP9mHL18mexTQU7Od0+5xhhhcBnYHPcBRSKujUy2a+Dtw/HKDIknDDk2UsXWWhYaOpMoYic9Jx8YKYasnA9SPevdsSbnmlRXaPBnQGPrWSwStbcyyNCRQ/ef+Eg9MhXpBQLugEUYobBKiKRJZN74FHXsTIjzA0hfShK7dRMafqhYnhy+7xkKEb4gUxtqESjfsXkiSx1Cw8IJKMHTO31qoossT1e+2csAiCPL59NEBTRFLtWeKi40W0ex6Grkzt8bNsen1JEESoMEpolE1Oex7tnkfR1pmrfbjEVkkW6UayLCFJIlHA88V7UBkPvmeY4VmolUyyTBCs0jTjzSsLnHRd+k5Io2qz2ChwY7uTu1VbhspCs0C9aLHQFCY/v/fdbXRN5vJGFTeIMTRFpPZWLeZrFncPBsSJ6NH1nQBZgnMrVc6tVGn3vdyUqe8EHLYcJBnSKMMLYoZuRJpkKKr01Hv25PJbbBRYbBT40uV5NFUmSTOO2qNxQo49TXrOr9kH/x+MAto9D1NXKI6dqT+2XtdDT/RIX3CMyRoFIuHnv3x/h4O2w+X1Kq9fXkSf7ddnmOEDQZGlZybqTOYZiiyhKTK393v4QczmcoWlRgHb1AijlL4TiIQNTclTMc5eylkm/quVTWrA1lpVJLV3XUaecNMVQtYHSRRJKq71NM3y2WN/FFIBDF2lNwwYOCFFW8uJZBNM5jW6prBQt5FlIaI/7Xl0Bz6qKjNXt7F0FUmSyDKxzoVxynxdmMEN3JCTnsfesUMYJbT6HpfXa7x5ZZ5373a4s9fnykaNctF47P4QIE1SWn2PJE3xgwTtTIqGbaqszpdYahaojOeaZ59HpBSI82tULL768tLU+SmyhKrIPI/11eXNGpc3Z+KNGZ6Ns9ft2nyZ5UaK8hiSeZqK+WIYCQH3JL3HD2NOuy6tvovv63QGAVEU4wYxBVOkE7pBlKfWxIlYP057Hs4oZHWxxG99awtVkdg+HFAq6KzMl7i73+ek61K0NJI047A1wvUjkiTFGLs5FyyNr60uTRldbC6Wc7M1AG2cqraxKMQnC3UbSZI4bI3wwpi+E+L4EQenGiVbz5Nr4jjmu+8e4oxCttaqXFitcHDqcNx2KVgahq5xZbPOa5fmcnftp6FaMlhfKOWEfoEn9GrOznKfQSyd4QXCc9TRkiShqSKlV1dlsizDD2KSNEPXZDoDj9OeEEKrqkytZLA0V+LqhebU7LzV89BVhVrZJIpS0jTjtOsy8iPuH/R4526HVs9DkaFRsWlULIIwwo8S4jgDKaPd92hWLKolnVbf4/q9Nv1RwHKjQIaELMvUqza/9e0tQHCA9k8dZEnKPVMf7jt+nIjihKOxKHyxUfjgc7znODRdUx5x759hhk8SGbA6X8rr3IeNSjwv5I9/sk+cZHztlSVW5ou8cXUeQ1epFK1HnqxWMmDMcXt4yy1J0thcQkKWRCJEcdw7643J0hOkj+zfp58rjlKRpCdJNKomb98+5Y9+tEejYvHrX1ub+l1Flnjj8gO+WCaJY5GALJOABwLHLBsf17jmkJBo9TxGXkS5qJNlgusnjded7KHNiONFbB8OMHWF5XHPZpLkMTl/VZGF2fNDCKKE4zH/yjQUugOP467oj7x84VEDiulzlKfW5J4jkvp0TeHlC03k8d99hGf5GHzktW6Gj4Tu0GfghBQsLRcuvWh4Fuf4RYCsSGjKOM38MzCC/jgQnxHSpSmPCMhfBCiKgm2qIuXQ0n6u+ZCf2hT89u3bdLtdfuVXfoWvfe1rzM3NPXLj+Cf/5J98WofzhUN5PPjtDHxURWZt4cnE/0bFot3zGboiuv1hRxeAf/1fbvKX148BeH+7S8HU2FqrYRoqiw2hHj04HVErGbx9uy0aJYbKrZ0ehXFahSxLvHO3Tbmgk6YZQZhw9VydzaUy795ts3005LA14qTrUivqjIKEi2sBpqZwYa2Krip4QZy7fy3PFRi6IVGcUi7qbC6VSdKMTt/noDVioW6zf+Iw8qInOsA4bsj/+v2dPHlj5EVc2axzZ69HlsFSs8Biw2bkR/iBUOOuzBe5udOjNwz40fsnGKrM3pHDD9874asvLdId+CzP2fhhgixL1Msmr241+d67R/SGAZIEc2duvCddl/sHA0C4/13ZrM8cj3/OcHOni+OGREnK7smQrdUqa/Mlwijh+r0OvaHPUVso0t0g4sa9LqahMPJj+qOI3/7VS7x3r0PfCdg7eSBeurXfJ44STnsevYFPkok43Zs7Xf7ub1zl9YtzdPoeu8dOPhQZjkLU8efWDxKSNOWw7fDu3Tatvjd2vjQ56rj8+tc2eOPyPCddlyQR8dxFW2fnaJAX+bvHQySZvNh5734njwTsDQNe2WpOvRanXY97B2KQfNxxubxRywcNHxWSJLGxVOb+obje1hdKU01ixw15f6ebN1TSNPvESKxzVYt2388dDp/XIcTQFLbWKgxGIUMvHEevzoRdM8zwImJtoUTJ1hm6IXf3e09105jhi4vV+SIjLxJxw1HC7vEAZxSRZBn7pyOaJYPrd1uc9ly8IEUC+qOIWilBlWEwiiADP0xRFZneIGShXmSualEuGMzX7LFzm3DoNbTnv+d8VviPf3aXP/rRPgDv3e+iG+pUs3WGGX7e4PoRN+53CMKEH944Hu+BM0Z+RK1ksHM4YLydxQ8ywiACCeI45OZOj3rZ5P6Rw3zN5NxSBUNX2FoTKX1ZJoTVvWHAfM2mMwyoFg2WmoUnusxOkCQp793vEI0d8F0/4uLa4/fd8zWbTt/H9WNMQ5kWgT8nojjhvfudfO8ehMkTCU0zzPAioTPwub3bA8Qe+OJaNRddqqpwg47ilKEb8sMbx7kb3N2DPl++sgjA9lGf771znA87/+AHO0z69Td3e/x3BZ2Ncern9e02d/b6pBnomsR8zcYbE/+WzriyGZpCZ+DjBTGqInHtXJ0gSskyWJkvPtaQAUDX5Fw4MfIj1HEyBohkjqvnRM2rqTLuWIQmSRIvXWjw/v0ufpgwV7PQFDl3z/fDJBdH+GHMjfudnJRUtB7EtZ9bKRPHKX0nRFNl7u/36QyEC9+7UUxvKJLJ1J7H+ZUHBIn5uk174OP5Mda4z/k4pGnGjXud3Cl3+3CQvw7HXZdrm/UXflg1w6eD7vi6V2SZo7ZDEA4ZBTGOa7Bz5ICUcf1em+3DIVEi9gCDUUC9YqGoEvf2ByRphqbK/PDGCW+9tCAYCWS8elEk+4VRwu29nkjnuTjH3omTE6prJZNK0WP7cEhn4DNfs/nxzVM6Ax/LUIiilOPOiPMrFVafYia0uVTm3kGfLIPVhWI+5L+738uNndp9n1e3mjl5WlFk1hdK7BwNKNqacMvs+cxVbY5aLktzEptL5Zyw+VExEW2ddj2REv4MUnmapvynv7jHj26ckqQZt3f7jPyEX35z7amPm2GGGT4YkjTjxv0OYZTiBTFv32mRZRmuH7N77PDKVpOXzjWQZUkI2gcBpYJGlmWMvGhq/Xl1q0l/FBLH6TjFwuCoPWLnaAiIe/RZAuV798W8xfEiOoMAyHj5fIPjrsdgTKI+6bhIksRxR5C6JkSaMHpoTxIlbC6VCcNEJJhlECUplq5SLooZrR8KcZzERJzvUbQ1/vP3D/D9mCBKRLpAx+UHN05ojOvAg5bDb3z93BNJ20mW0R34dIcBmiozV7XyWUOzaj2xpuk7Abfy2vPR87t+70GdNTm/GWb4ODBfs+gMHszEzq/UubvfJwgTCpaWz813j4d5gt5pz8uTL/7gB7t0+j77JyNcv4+hCXJk0dSIk4zOwGdzpcTusUMYJ/SGPlGScne/j64o9EYhtqHy5ngPddxxMXSZTt8jTjLCKKHd93DciHfunNLuC6F7msFb1xbp9H1evTiXp5yd5UfIssRSozC1TwmihI3FMkEYc3unh+NFuH6Mrioospzv+77/7jE37ndzQcVSw8bQNVRVZvdkyOZSmdX50nMJOCZojOePE97H8hN6wXsnTp6QcNJ1eeVC85m9oBk+n9hYLHP/8EFd/qQUDhACp/fud3jvfpu9YwfLUPH8WAglJQlVkaiVLW5s92j1PAxNQZLgh+8fs7lUzmfn3aHP3X2RhukHCWmWkqZw2vNJOiP+8voxXhATRimSJMSWVzfr6IqCpkl0RgF+kBCGKe2ehxeIGiCIRILOUdvl8nqNSkHnxr0Or2wJQvKN+12SOGPkhbh+xNXN+idmyphlGe/d7+AHogcwGIWPTfV7GtYXS9za7ZGmGfN1+2NJG5xhho+K+Zoten5P6IP9//7gVs71ub3bJU1Txq0wTjouf/c3HpgnLzUL9Jwgv5/PP2Sa8v52B9cXxtAPc4Mur1XZORzQHQbYlsY3Xlvm4NQhjMQ8s1F5YPaiyBJ+GNMdBiCJHsn/+v0dsW/f69N3Av7GN86fOafpe99cxWL/eEiawULDxtQfXIv1skmr7zEY9xMNXeHu/gO+UtHWGPkxSZJStKdJ9kma8MP3jnG8GFkCZZxGOMFhe4Q3Pv/jrstL5xp5v+PhPqNExq29PiMvQpak3JDnSTi7J5qvmvzhD/cIQ/FcR+2ROM5scpzZU2fDN7a7+XH2nIBXLjSf+LszfLwQRui9/Ps0y36ukwc+K5RsDc+L8+vRDZUXLoUDYOx7kUPJXjwRx35rxO6RQ5Jl9EcBwZlwgZ83fGo7s3/1r/5V/vXv//7vP/LvkiTNRBwfAZIksbVWJU7SM+kPj4ciiwjhOEmfqMLcOxnmX6eZiGXcGhM01hfLLDcLZFlGMnbISNKMUElp1iwsU8U2VboDnzTN8HzhGlop6rxxZQFFlnC8iMW6zUHLQVVk4jQbR5WlNKvFvCnqjFecOBEOHdfON3DckEpBJ0pSzi+XsU2VJElAkomTFMd98Jg4SfPhcZZlHLbccUSjOOfTnsfXyybVKwvifJIU1495+XyDNANVkXHckEbFxLJUfnrrFCSJOEkJIpFUIAbqMm9dW2SxYbM6XySIUipFA1WRUGR56v2YHF/+vRdSLuj4YZwrdGf44iJNxeBBkqQ8RviVC010TaHvBKRphju+KcmSRK1oYOgKtimGFsctB8+PieIUL0jyCMBKQafT8zAN4UzZHvhUijpxnBIpCXf3evzi66v8zW+e509/dkAUJeJ6SFI2F4rstxzOL5UBhT/92T5ZBlEkbvBJklGyNJbniqwtlFiZK5JmGWmajcklDz7Tri8IH5otYgw7Az8XinmB2OxMCSm8MH9dkjQV1/fHJOIAsSltVCzIskdcfhwvmhroOG4EH6wX89xQFJmXzjeI4hRVebb6/SzWFsrjz0omVPsvqAp4hhl+3iFJggz3vXePePduZybi+DmFbWq8stXED2MOToaQSZSLBvM1i/uHAwxDIc3Im36iygRNkSnaGrIs47gRqiqhqTLnVyp8+40V5qo2cZIQRgnrY6KSrMCrF5uP3HOSNCOKk/FA5rO/p0yIFhPc2+9NiTjiJCUZ7xXO/uxsnf9pIIiS3EHnwyDLMoIoQVPkxzoPzjDDBI4XkWWCuBxECaauULYVygWNuZrFz26d5jWsJIEiQ8HSCcOIOBWJe7IiCRHwKCTNxJ5AU2XaA496xeSVrSZRLPoB2WPq5MchiJKpgcTwoX3tWaiKzMsXmh+q9p3A9eO8LyD+XviU355hhhcHD3+Wh26YizjCMMkNSwZOwPvbXSQyFEnmJBBrghfEjMbJF4Yu7o0nXY96WQwUkyTj7kGfhUYBTZHpD0OKBeEyK2XCaW+xYaPKMuqZe6sXxKwtlEhS0TOzTZ1LGyWyNMV6CunADxLWF0sEYYwiywxGYX5/HnoPzjWIEqolk3LBQJJAUxX+ym+v44UJaQo37nce+xp546Gp6GHKZEi8utUkSlIK4+Oa9DfPDsB6w4CSbWDqgoDSdwKiOCXLMnRN4ZXxGvU0p7kwTgiihDgWJJRW338gSsvEej0TcczwPJh8pnVdYXmuwGnHRZZFgsXADfDDiJEbAxmKJCHJEkgSRUunUjSIkgRJkkgz0YczNJXV+SJFS0NTRe/aNlUW6zaQoSlw2nVZqNtkCJHW5Y06ElAp6mTAYt2mbGvYpoasyCzNFXjt4rTplhcI8mHJ0tB1lWbVEuvVQ7XD2V53HKcEYYJqPfj3xUaBuarFm5LEvf0e7b5w0qyVhZB0ffGjEYbTNCOME3RVQZYlzi1XWFsoPXNGAqLeavf8XDDnBTGtrvuRjmeGGWZ4FGGUEI5nDY4X4vkxsiz6E30nIEkyTnousiRxeb1GfxSiKjKGpuJ4EQt1e2r9mcwmVUUmiAR5e4IkSemPQoqmSpbBYWsk1sH1GnGSYZkKRdugYOmkWUbZ1oRhxhjdoU+5oKNrynieMb0nSdIMSZJYXyyJmkaRee1iE2Nc/wTjem4iIus7AY4XCWdeGRRFIowS0jTjpD3KRRyuH+OOE9EmOLu+KbLMSsMmilKR/lE1KRd0Xj7foFG1kSTytWzymkuS9Njac0JE84J4yr3/cXuuaKwUfpKgd4YZnoTJTOwsF+HKZh1nFFK0xYx/ItyaYMIpkCWJ066HhOgvFEyNhbqFpilsrVTxggjb0vD8GK+UEEQxc1WL6/c6ot8pgyZL7B07vHFZXLNpmtHu+WyMhUqKLNPueciyRKvvkabgheJYOwMhBp3UWCCugfXFMitzRSRJ4rTrEsUJiixqnkk91BkGzNVsFMVHV+U8UcjxImplk9O+T2H8nJIkcWd/wLVzDUq2TsHSuLpRo1J6vmTl/LV+Dt7H2WMEIega+dFMxPGCYq5mUa88WpeDMDCUZbBNsVcdje8vg7EDfhglGLrCV64tUi3rnHQ8hm7I5lIZWZGwdTEzCMKEIEwYuiGLjUL++amVTExNployGPkJp12Xe4d9/FD0DdM0RZJEWpSuyFRKOhtLZVa9iE7PI0kFryGMUhxPEKhLBY0olrm0XqFo6wRRQhgnkEG772LqKhuLQlBybSz6/CQQJ1ku4ABhBpum2Qf6e5WiwRuX50mzbMb5meFzA02VH+mDOY5PdxSx1LA46TzYA3eHwTiVVkYGWl1v6rl0TeHl8w28MMY2tKnrI0mzXMABj3KDdF3lb3zjvDB+0mVkWQiTJ3X9WURJStHWubCqgiTx3Z8dECcPZhNH7dFTe3vVksEvvroCCNOcKEkhIZ/xXV6vidpbVx+ZUUpIfOPVJeI0RVfV/z97/xUkSZqe54KPa/fQMrUqrbqr5XSPwsxgBsSQAHFI4hyQaziL3eUx27U12rG92RvSQNKMRgPVBXlDYbzhseUFl6Dt4uwSBBbyEBiO7p7WonRlpc4MrVyLvfgjvTJLdVV1VXVVd7xmY5NdERnpHhHu//d/3yuw3ZBiTtTC2w0bQ1dRFBlZgnbPPfS7za6T9itJSMWs+3X6PmEcYKtlU8zqZEwFVVbuWItHkUhfNzQh3M5ldJI4ZugEqYADYLc1ola8KTYZ2D6zHBZx7M9aVVlKBRww7r3GSSpcneDxYnQL637kBDAJOnzi2GkP0XSVLOI6UhWZ4dAnl3u2e/1/+tYmf+Grxz/rw3ggtLsuxZyKH8SYhsra7oCXTk9/1of1meCJ7cwuXLjwpP7UFxoPshm413OXZ4psN0WxpigSJ5ZKh39XVdLBcHfoYegKU2ULz4+o5E22/RHVksmFtU5K9liazacL/1TZot1zqRUtugMPXVMJwogjs0VkWUpV6YWsTrvvcnVDJGFc3ehhmSp+EHJmucKFGx0URWazMaRWNMlldU4vV1J3mf145CNzBS7c6NDpu7R6DuWciarK4+GWiEbabo7487c3CcOYetniO68uAcJdQ1NlMqgUszremLiSUWWKeZNO30PXZCRJONjIsoyhSVzd6LK2OwAJXj1wgylkdZrdcbErQd7SuLzeodP3kGWJE4ulR0pin+DpgixLqRM7CIc4fdyY34/5zpoa/aGPZaoUsjr5rEYYJoIMUclwea2DLEsYukxz3PDYawtBhh9GbDWHhHFMq+eRtyLag4T3r7XQNAVVUVjbGdDoOPTGDZt9Iti7l1o8f7xKMa/TGYjvtetHZDM6lqEyd+B6Wd8ZCJdMiUODhVxGO3SuB5XpWUu7rZlUyOqs7QzY3BsSk2CZKrO13CNtwOxHNt6KfEYfRyCOj+UJFGQPG0WoKDLKZE4ywQTPPPZFHB9db/GrP/9sbaAmeHRQFSE87gx9ekOPfEZDUxUWp/MkiVi3NFUiHBMF4gQ0VcL2Appdl4SExBc16nZrRKVgoqkiItc0FPZbhqW8cdvQbuQEXLzRIRw7yJxarnzmjbnjiyWujVPqJIlDiXqtnsO1zV7qFHl0vkh34HFlQ9T5lYJBgX3AAAEAAElEQVTJsYXiYxejXN/qieGxBEfni0Ig+gCI44RL6x36Qx9FkTi5VCY/IX1OcBfkM3paC3f6Hq4fpqJure8LYuc+0SYRg5MgjHD8hAQIbZG0F0RigLE0U0CWJNZ2B1TGTpCnl8sHnODu7/oxdBVdk1Py1f2kSX6aGO6MKZwow/H+u5id7JEn+HygmDXSxAmAwoHvdjEn+kWqIkSeex1buDxLMFu1+IMfrRKEMZalkDVuRkvP1bK4vrhWFFlCVWXeu9xEliUUWWKrMSJJIGdo1IoGuqqO//bN63h/f7xPQvLDiPeuiF7BTDVzV5K1YSjc2Oqn95yDab8HX9/QVQxNSYeVhayOoijkLEUIvg5e7wd6YpapstMeMRgJV7rjSyXeu9IUdUDR5PhCKe1v1isWm3tDYOwwLZGauOiqytuX9mCcwrs4nf/Ee5SuKvRHXupGeDBlV5KYrOUT3DcKWYMb2302GkOiKMF2A3pDnyCKaHUdOgOfkRukxAVFlshbKn4Q0Rt66JpCFArykKEpTJVMFFmmmDPoDjw2GkNGTsjQ8YijhJ98uIuuKVy40ebIbJF6JcPxhRKVokV36CMBuZzOyA3Y6zroqowqVw7V1JfXOvzpm2v0R4Ls+5e+ssJsLXfHHlshq9MaExd0TcbUb29g7fcDywVz7IQPkixRekCS4q3YT+vxgxjLUDm9UkFT798kydRV6mWLtd0BYZSQMVWmH1NK7wQTfJFhaAqGruD5EYWMjmkIE7ihE6CpEpt7Q4IwYqs5QlcVMSOxtPF6K/YtB+8/0tg5fH+v3ht66dwlSRJ6A48L4wSNYk5DlmR0TTiB7xtfSJKEoSpMlbP07S4kwoV2YPt0+h6ztawQvo57ODCuX2SJ3tATyQESHJsvpQIOEHVMq+eiKhJIwmQqY3joqkyoqYRRgDUmvM1O3aybchntJuELQfDad+o1dIWrGx3eutjA9SJKeTFfGtoBu22bl07VGTkhSSKIvaoiC7d9CdG/EOFN6TnsY38edfD8DmKrOWRjV9RWC9M55j7BHXiCCe6E/TW5O3D545+uMRwL0s+fqFHOCzLiPuFTUSQcL+DSegfHCwjDBF2VUXRBCFcUBVWVmc1ncQORAiDLEuW8ieNFLE5nxw7VCa4UMzslc32rz3TFYrftYOgKzb7L4lSO/bLnh+9ts90YYXsRpi7jeDF+EJGzdDoDFwkx51yczjNby6IoMlc2uuy2bNZ2+0xXsuQsLb1+pisZPrreImOoOF5IKS/2NvuPr8wWaIwJsaoicWr5Zh/U0BSyn2KP8Un1TzF3czYty9IjS0Kb4LPBneryNz7a4eKNDkjw0skpjswVuHSjw8bukCBMSJIEQ1dJYuiNPLaaI0ZuwHTZpN33BSE4hjCOCSORBLifilvI6mw3R1zd7LK2M6CcN6iXM+iagjs2X4gicV0ahoQsScxN5cR8W5axdHFNjNyQge2TNTRMXWVge4wcYRDZHfiU8yGFnIHvR/zJm+usbvWQZYmXT05RK1uP1ehQU2Uypprek4Sp1oP/PVmWkO+z3zrBBE8S+32w9680+I9/fIkgjJmuWNRLBrsdsU+vlix2GkM6Qx9J4rY0mrvtwUHcl7KWlpLU78QNAlKBJNys62+FrsoiOWhsfnv2aIW3LzYIY1G37qeJ3K23V8jq9IZizTMNhY3dwdhQQqzFex2H0VhoPVU5MO+TRHLH0A7QZdFbOJioM1vL4XkRQzdAksTc/2CtPVvNpAJxSRL91bcv7pEkUC2ZYoY7FovN1bKs7fSxxwLWYwuHU8gHts/FGx3iOKGQ0ynlDME/TKBWNLAMBWf8WkJkeoD3dEtdf+tc9bbPaSLgeGLIZ/W77s8meHKYqeTwghDbFR+ErETPvIAD4Je/tvxZH8IDwzIk1nbF/EpRJOamvrjJNE9MxLG1tUW9Xr9j/EwYhuzt7TE3N/dAr7m6usrf/tt/m06nQz6f55/8k3/C8eN3JsR5nsdf+2t/DdM0+Z3f+Z2HOocvEn71549TyuvsNEe8fHqKI3OlQ48Lt06JaskUsWYSnFouo2sKYZRw5kiF7sDDPx3Ts30sQ6F2IP7s1TMz5C2DU8tlXj0zTavrsDSdZ3muiKIIRwxNFcKQ9640SRJY3enTG3n4QYTjh1xc69Dqu1i6mqZ7HJkrIkkiEnTfQaY78Fjd6uO4Iaaucv54HdcPODJX4vSB5sh7V5rpwLjRcVjfG3Bkrog6TgBpdGx+/S+e5upGFxCEM23s8BVFCeWCmRZwwkFANKQl6bBCuVay0uMt5Q2ShDRyPo4T1ncHExHH5xwnl0pprPdU5eYCpKkKZ49UaPYclmZEXG4xZ3B6ucKfvnkDx4s4s1IhiGJqJRNFhiPzRZpdRxT+RZP13QH1ksWJhTKtvkur63B2pUrO0vnJBzt86ew0iiTcuwsZnZ22jSLLRHEsogjtgNfOznD+aI3V7R5RnDBTy/Hq2RksSxQtXhDdJJ0kwulzZa6A50dUiyZxAp2+S8ZUKeWMNAr54Lnuo1oUUd/FvEHWVAlDEZFV/pRD3PtB1tI4s1IRkY2m+sCEzAkmmGCCB8XZI6LZ9dH1NkmSPBUpCBM8ecRxgqYozNdzFHMGjhfyyqlpji2V+Ph6i5XZAj/+YItLa13CKCJraBTz5jgxLsJxQwxDIWeJeOHB2PFaliXOrFTY6zjIknTHdXerOUyH80M7oNN3DwkuPwv8wmvLmIbC2vaAc8eqPH+8nj62sTtMm47NrsNMNcP63iCt89t9l2kn81hJlI4XpsPVJIH13cED1wy9oUd/3DCOooTNvSGnVyZpPBPcGZahcmalwlsXdlmZzdO3AyTEkDWKEk4tlVnd7hNFMdOVDPP1HOuNIXQdSBKiWAJiqgWTWilDtWiiaTLVgkkuI1I5tpsjji2UHui4FFni7JEqex1bDDcec8SzpsqcXRF7o/3ewAQTfB5QyoteWH8kUlkP9n+qRQtZEv2ioRNg6go5S0MCun2f5VlBytNl4ficJCKJ56vPz/Cnb6zT7DqcXikzNkwmjgVJY2Eqjx9EIj12uoihKViGepvpwsH98fWtfjpM2mnZzFSzqQHFQfh+xFQlg+OFWIbK4nQeVZVvq0X23WHvdA+51/XuesIsRlUUNFVmr22nv9vuuQwrfpqG8XMvzPPxagsviDi9XGFg+2zsDakWLdrjtGAQjtwz1ewnijjCKCZjalSLpkgNKJocmy9iuyHlvDEhPU1w3yjlDfJZnaJtYGgKm40huSmdvY7NbjyimNPQNTFtn63lObFUopQzcIMYQ5U5uVBmqzPC1GRef24WXVXQVYV62eLtSw0WpnJ0Bx5qD/xAuDQO7YBWz6Wct1AUmWHFP9STXpnJ8dOPdxnYAcXcYfG37QZ8fKOdEh46fY93LzeZvQt598hckaylEUbx2Hn67tdWtSiIV8Px3/20w+rdlp0KTB0vpNG1H4hkLMsyv/z1o8xUs2w2hhxfLHH+WP2Tf3GCCSZ4IOz3KxpdB0WWKBdM3r3cIAhjspaKLIvZyHw9RxDGnFwqk7FEvz5zl0Qw2w3SvXoxZ+D5IbO1LIORz8gJafdd0GCulieX0bAMlelqhsWpPI2Ogx9G1IoWpqFyShG1me0FZAzx97abI6YrmXRes3/fHTkB+YyeGm8Y2uF73q3zv4yhstux+T/9islH15p4QUy9aDFbz3L+eI0LNzpEUcLJpfKhWmu3NUrFr54fcWm9i2WoWLqK7QXYTkCtZJEkgoR+ftxL2W6OiGORPMZ4TnNqSZxfLqMdmrscnEftn98+4jhhYyyOBTFznalkJynhEzw0PrreHrv6BzheyObeCF1VqZXMdL5YK1kioS+B54/X2dgdsDCdY6aSQ1UlJMT3dqqSIQgjml2HhekcEhAnCatbfZpdj932CFWRWJzKM1XJ0Ld9pqsZsqbGwPYxdJWTS2X+7GfrFHI6jmeiuyFBGDFVMYjHKcbbzRGmrlLOG6zvDZiuZLDdgHbPRVNlFuo5/DBmZa6Q7lHm6zl+/pVFthpDTF0ZpxHe3Pf92ndOUhybPb56dpoTi2V22zZhFFMrWY/VuX+unkNTFVw/pFo0n2jC8QSPH7YbCgEHQALvXWlgaApJkrA4naeQ05HHaXhhFNHsePjBkJlKBkNXKGThxFKJ3tDH9UNmq1kypirc6xFr7ZH5Im9+vJt+f/q2z/HFIitzJWRFptGxkWSJxXqWL52bY2W2kBq2Ol5IkiQMRuL181mDlbkCl9baDJ2QuWqGUl6YsJ49UuGdS410rRvZAbYXcuqA+dPjwumVikglkGD6Mfc+J5jgs8If/3QtTdzebTu8cHKKpVmJMIo5tVTgj368jt4coSkS1cLhnvzOJ+zBTy+X78kNul/sJ3jtdexU4NDqObx3uUUpr/NXv3ninr9/fLHMXtsmThLyGY0Lq+L+mCTw0fUWlnEz3dfxQk4slhg6ok+Rz2iH9gsH+4eyIvH689Nc2+xjGSovnqhzZL5Eb+iRszTKBZNWzxG9w4LJlfVOOuNsdV1OL5cZOMKoRldlegOPnY5Nxridq7R5gPPYH/rsNEfp3qjZ8/jWq4tc3+xh6Cpnliu4QZRytG59rVvnqieWSmkax6f5nCZ4cOQzN43J978zEzx5DOyAnKkTj/f1WUMjCII7ctqfZkyXNHa7QpClqyBJz1593+i4ZC2VIEwwdYUra32+dObB9AOfFzyxT+873/kOv/3bv8358+dve+zChQv82q/9Gh9//PEDvebf//t/n7/+1/86v/qrv8of/MEf8Ju/+Zv89m//9h2f+y/+xb/gxRdf/Fwmguy1bbrjG/xsLZsOXfwgSsUMs7XsfQ0XgzBmY29AGMV86ezMXQlR+xHuvh+l8cG2F1HKm2kjIpfR+eBai63GEMtQOTZ/c2Pl+BGX1sUwaK6e4dWzMyIm1RPq++5ADFdjJHZbIxbGjjStvossCScO1w8Y2AGlnEEQxlSKOcoFE1WRSRLY69iEYUwxZxwaAOczOscXStTLFtc2+0gSLEznU7dBECKMjd0Brh+iyDLx+Bx1TebnX136xCaKIksoqixUlICqHm5slgtmuhgPb4nLOtgEDcOYty7t0R/6HJ0vcnT+sPp2gmcLYRjz9qU9ekOfldk8xxfLJEnCZmPIyAko5010TcZ2Q3ojj5ylY+gq05UM33x5kY3dIX4YculGl4QEzw9F3K2m0Bl4bDWH5CyNXEYniseRpTJ0hh7RmLwBgocRhTEj18d2PGw3JE6E6reUM1BVGUNXmK0XmK5meP5Y7eY5RDEXb7T43tsbZEyNk8tlakXzEAGj1XNSVXw5bzJXv/fwdN+JZh/yEyQ15zJ6SviYYIIJJnjcOLZQQlfllFC2OHb/m+CLgVbPYac94u0Le6zvDshlDLKWiuuFXNvq4EcRURRzZK7IwPbRNbFV8/yIVmfEbtchjBJ0NSGJE9p9l/XdAX/wo9UxyVDlzJEqcZQQjR8v5Q3mDuwPbl1jZVkiSRLhujWuReqfgihtuwFbjRGyLDE/lTuU1nUvfP2FBXjh9n+/lRwgS1LqCOP6IZ2+R9bSOLFYuiOx9FHg1rLkYd23Pu1rTPD5xsE9QW/kc2W9w43tvojjliWkJBGpe0HMwPZRFeFCaRgqiSRh6QognF51XSaJxfC203epl0yCIMYLIrJJQhglfHi9xY3tPkfmi6mj3v1A1xQWpp7c2mUa6hP9exNM8KTwzqU91neHLE7nOH+8zjuXG8gSvHhyKu0X7bSGBKEYJEoSqHLCyAkIooiMoSGNzRkkCYIo4Re/vAKIftafv7XBVmOEaYh7QyGrE0XC4X9tp89WY0S5aPKtFxfY6wrC0Gw1i+tH6d+TJYj3D1iCRlc41OUy2qHh7L6D637PMYpjAjdGkkT/QJFvrs/++HxURRhJyAceO3i9R3HCxm4fz48wDYUgSgiC6I4i6INrqqrKh8SguYyeks67A494X5Ui3b6+3wmSJFJN9gefqiJ+rt7HbXPfodvQFBbG7qMHkSQJ280RvaHoyRRyOjPV7CTd43OGkROw3RS18WDk8aMPtugNPCxD42vn5zCmc6zt9PGDGF1TMTUZSUrYbdsUsgaGJrPXstlu2xQyKp6q8tMPd/nmS/PpkF2RJBRZfDdVVcZ1Q3ojn5ETIEkS+5fIft1vj3vvW7ZPd+DTH3m0+y6uF6TiUHn8mvuQIHXGbHZtfvrhLkPH59yxKqeWKqiKzMwDpFeU8+YjM2+5037hQWHqKl97Yf6RHM/DIAjFDCeMYmZrOXITgdgEn4BWz6HVc7EMVVyzT+n+0g9j3rqwy9AOBMFztpgmdsVxwolFMS/sj3y2mkNgRLVoMl3J3NP0YLc14tJ6l/7IozNwKeWE0Vwpb6IoEluNITd2+oTjlLCrGx1qJYvjiyXe/GiXdy83qBUtqkULLxNhGuqYrKXz9qUGV9a6qJo8JtQYlPMGthsSaQlxLFKRZFmiWjTxg4i9rsOVjS4L9RymIfo4hq7y4bUWl9cjzh6pMlcTKRbnj9fZ2Bvg+RHlgsFmY4RlqMxUxfw2imI29oZ4QUQUxynpdT8xQx/PGf0wxPEFwbyQ1cgcuG9IEkgHyg5ZkijmjLsax91rz3XAIBZZku6rfoJxndMapYK96Qkx7AuP9680+OBqk6Hto437d/v9vf0aex/pPS0R389K3mS2lrlN0KXoh7+77b5LGCXUSqK32eg49Ic+jY6Npkr4QYRlqLh+hOeHXNvsCkFtS9TkfhijyjKqLKNpMo4XpQTO/sijUrBw3ICrG122WzbFrE4+a3D+eO02k4vuwKM39BnI4n6gqfKha3B/7waiv3llo4sfRCiydJto9mCvdWEqh+OF7HVsNFXsM+7FV9jfc+yLyqbKmU/V953g6YTrhWw0hvhhLPbZY2OIOEnoDoWJaBiJhJmV2QKL03neurhHEEai7pTEHtwLwrE5g0Ixq1MtWrR6Dv/bm+v86Rs3CMKEmYpFbyQSakAY0ShJgfXdvjBQKJh85fwceUuYITieeM2rGz0kEkxDpT6+XiQJGlHE4nQBP4iQJIlK0UTXFK5v9ekNPZIkEbORvkMYx9TLFgtT+XRdiWPRT3U8YbTgeCGuH1EvWQ9NilUV+RN5DRNM8KSwn9CbtbRDc76HwU5rRH/kk8/oh/b7AKYqMzeVJ44TLEPDMjWOjw2g9FuSNiXEfsT1I7KmxtLM4TpSueUa6g09rm93ubLep5zXefHkVLruH7yGq0XzNuHBwcTf3tAjnzE5tlDC0BXiOEnPqZDVb+tJiDVV/JuYJTqs7Q2FyHM6TzDyGNgBuqZQyumsbvdp9Vzm6llOLpVxvBAviPAyQlS90RDi5nLeoJy3eOW0OFZNUyhk9dSgIo4TbFfc+zJ+eNtebegEXLrRQVEkji8Usf0Q2wlJ4oQoSXj/SoPdtsN0xTqU9gdCsLrTGhEnCdWiSTFr8OqZmfTxnCrftZ+QJAm7HZsoEvxJXVUo12/eJ9d3B1y80SFrqrxyegp9IvR8rDj4nXlW8Um976cdChDEIf5Y0Laf8vOsITmQ/JUkojZ71iBJCUM7FElwYYyuPVvfpUeJJ/bp7ZOH74Q4jh+44Gi1Wnz00Uf8u3/37wD47ne/yz/8h/+QjY0NFhYWDj33zTffZHV1lb/5N//mpxZxJEmCbduf6jUeJboDj6ubfQB2Ac9z043Lx6udNO5vr93n/LHqJzZ0L613GYzjvfZaA54/WkG9izOd63n0hg7tnodlqFTzKq3OgHNHKhi6Qqvt8N6VPRw3Qpbhvcs7nFwQhdLvfv86VzcGuH7EO5f2ePVMDccVMcAX17pkDJWtprjhz9UzvHdpRMZUiaMI24sYOQFZQ2HkBmiKRD6jkbcU4jhgtmyxvjek2xeDaImIvFVkOBLRkJahUbQk3r20kyZvdHpDzq0U6PZHNLoOuqbguB4/fq9NrWjQ6vuUcmO346HN8YV7T2xl4MxSgQ+vt1EVmReP1+76vZGBck5Jmy5TxUz63J9+tCfcD4H13S6qNP+ZuyVP8PB469Iel8YuGDutEVlLI0mEihqg0bEJohjPj2l0bPIZndmacIecrggXqe+93aA3EgXRyPYp5gwGo4CEhKyl4fkhhq4ycgIxBFYVdhojpBq8cLJGPmsgAZIs0Rv6+FGC60fIsozvx2RMBT+IWB1/73ZaIyxd4fh4qLK61efP3trEdkOaXRfXD/g//vK59BwHts/VjR4g7k/AJ5KUl6bzeH6EF0TUy9YkiWaCCSb43EJTZU4ul/ngaouPrrcmIo4vEPbXx598uM367hDXC3DDARldIZfRGdgBF1Y7TFezzE/lmKlm6AwEIaFcMLh4o0UcJ0RRgh8kmEZMEEpc3ejSG3rIY5Lh1a0+0+UMiiyRszSWZgpIkDZNF6bz6TCjWjQp5w22m6O0FukOPHRNfqi1OI4TLtzopPX1yA0OCUEfBkfmClzd6BFEMfNjQsTKbIELNzpsbY4o5HRGTsCVjW6adPOoYeoqSzN5NsYN3gchvO9jn7TQ6DoYmsLS5Nqf4BZsNUdsNUY0ujY/+3iP7sCjb3s4TgCSRCKBpsjYbkAUJUCCFygYusrV9Q6moSJLEEYJipKkDf590eC5IzX8IKY/8mn2HPHz0Ge3Y5MxtQmpZoIJniB+8v42P/5gB4CNvQFvfrzLdEX0yjoDj7/6TZEwnDNU/EDsk2VJIpPX036BpsRc2+iSy4j12vVCfuE1EZUdRTFrO32GToBiyxQyghDoBzGaCj/5cAdZkthsDNlqDHnhgGuzqsioikx34AlHWjckThIKWf1QraDIcnrfmK1mGToBg/EguN33Umc32wvTWkAYQrTH9zCRsHHmyJ0Jmms7/dRZ2+9E9IceIzdEU2VOLJSQFYkgjJmtZe/qzn0rjs4XubbVI0kSlqYL9+Vwq6kyK7MF1ncHyJJ038Yqrh9yae2m014Qxenwex+7bZuNvWEq4JurZekNfc4frz02YeoETxZRFHNh/J3vjzz+68/WWd8VRH1V8bi01ub8iTpLMwXWdgY4boDrhQzckJ22w2ZjSL1o0ux5OF7IZTtA14VL/W5rxP/8ay+gKApH5otc3egSxQnPHa3RH3p8tNpmTsmSsTQqRWGukjE1tppDNveGbOwN6I98rm/1sN0QSRbGTgtTI2F2NJXn5VNTdHoOjZ7DfC3Pq2em8cOYP/rp2jgtL2GvI5zb94nYnwVma1mGdsDIDShk9ceeFPY4cGW9x8AWqSf9kc8LJ+qP1YV7gmcbD9N7/6zw0w+3b84Y2iPyGT0lZk1Xswxsn/7YjbucN+iPAqI45qVTd0/D6Q483vh4l2bHYbdro8gSYZigyBLTlSw3tvvstm2GdkAYRqzvOkxXMmw1Rrx/pUk+Z+C4IbmMxiunp+kNPc6fqGNoCmu7fZpdm/bAo913ODZXZK9t8/6VVmoyt7+mL0zn2GqM2Gvb1EoW7Z7LyA544aQ49u+9vUGzK2qZvY7DX/3mMUxdPVTjfHi9Ra1gYugqvaHPCydq3NgZCCE/0Bm69EeecElO4FsvL/DTD3ewvYCjcyWaPYfuwEOW4NWzM+iaTBglLM0UUWSZtd0+kiRx7CGN4WRZ4thCKf0MV+YK9z3H323bbOzerB01VaYycZj9wuLiaod3LzfRVIX+KKCUF6TKpZk81aJ523fjyFyRa5td1nYH5DOa6Jne6PDiifpdOQ7DcW8wl1HRNWVsfiFhGopIIl0sMrQD+iMPTVVodh2ubvToDTyaXZeRG5AkMFfPMnQDqppBrWyy1RgSRQmuF9Lue7x3pUkYxWJPpEgcXyix0xodOpZrmz3evrjHyA3oDjyaPZeVGbH/uNN8//vvbLLTEpyA3bbNX/nGUTKmIPVFccKF1U6aqtwbG/bt77eCMLpnHbbTstNEnf1r8VEJaSd4enDxRidNbqoVLbZaozS1wvMjIGGrOSRjqAztgO+9vSnWrsQlISFJQJWFQerG3pD5eo56SWenNWKrMWBtd0hnIExWr2c0EiSSJEaWZY4vlPjB+7tc2+oRRQnrewOONIeYc0U6fY+RG/D+lQaVsZO/oSscmSsSx6K3kTE1egMh1pipZlFlGc+PiCIPy9QwNIWLNzrEiVjrv//OJl95fi5dVzYbQ7abo/R9yGc1MoZGd+jx3NHqffcLJpjgaUR34KV1WHfgIUk8UOrkQTS7Dms7g/S1vvHSPL//w+sMnYATiyXKRSutXfsjn/Mnanx4rYWuynzluZlDr6UoErYrZowiIevue1cviLi83uVH721hjxN8W32PX/3mcVRVZqt58xoW65RyV2J7GMWs7fYZOSGKLHFlo8uMk01/V5HluwoV4xjWdofp+2jqKllTE0LtKOb6Vp/G+Px3WiMaHTtN6uiNxXD7Pb6RHTBXz7LTstO+4UEcvC91Bx6L07lx4lbCdCXD99/bwvej9LmtvovtBAxtmXcv7bHPI99pjTh/vIZlqIJDVbKIWsL0I0mgmEseyMRCAmwnIIwSTF09xAHtDT2+9/ZGeo5uEPHzryze92tP8MXD/fS+n3YoSoztCtN6EEY8z1oKB0Cr56c/BxH0hu5neDQPh72uSxAK+y03iOiPnr1zeFT4zCU4vu/zve99j3L5wZr929vbTE1NoariFCRJYnZ2lu3t7UMiDtu2+Uf/6B/xb/7Nv2F1dfVTH28QBA+cGPI40ewHtPpCqJEkCXs7MnNVHV2VubTpcFA7I7m76PcoogCubrtpDDAAzi6mLn4nDGN6ToylyViGxPamiwokgU/fhRtrAxRZIrZ3yZoK13dcAtcWX7IYrt7Y4e33XExN5uqNLt1hiOML5f8HlzwyhszuHrQHEQNVYjCMGEoJpuyiKhKJLFPLRrTCkFAJGdk2ORVKpsxCWUIOOsQjm/Ube6zuevQ7viCn+wofftQjayqYQGLDhUtbXN++eeHvdX2mShpHpzUyEnSHITfWunRHEYOehOPH7OxCvahSyKgEg9ubHMKlIAYSOsOYrCFxbkbc5LuNNbqNe3+WJkAEN67vpv928cqQvh2l//3OByPmq8+2IvOLjP64yN9Hdyg2I/vwgxg/jFKnpf7Io5TXaXRtynmDo/MlfnZxD98P8f2IBNBVhQQfTZUxdBVFglLBIG8JUqPtiajRI/NFRk6AZcgszuQpZHSCMCbY7aNrCoamMl0Wbjb+2H0zDIVb1VZzxLGFElGc0Ow52E6AoSsYukIxa2JoIn43CGNGtyTL7Cdy3AuKIrE8W0gdpT4J3YFwoIqjBMNQqJWevQHtBBNM8MXF2SPVsYijzXcPuG5N8PnG+u6A/shj6PhCjBEnSAlEkRBmBEHEMIjJZjT2WjbFvM63XlogTBKurrf52YVdZEnG0AUhcraaY+j42E7AyPHRNBVTlrCdgCAfkShyOryxx2ux74e0+y5LswUKB1ye7VvWascLH0rEEURxKuAAQSj9tMhl9JQEsY+MqXF2pXLob+0L1x8XZqrZB3IXvhOWZwss39LQneDZwdD2kWXpsQ3/On0X2wuwnQAvDIniWDQPJdA1GT8cu9AjHOESEnRVRpElJFnC9QQRKWvpLEzlGTk+hq4ydHyiOMH2Q4o5nbl6lkbXSR0ooyhh6PhMM6mnJ5jgSWGvaxMEMa4foKkyjptQzptIEgxt8PwALxDuaPmsjizJKDJEScKZlQq2G6DIIg03QSTz9Ic3m/XdoUcha1DIirV85AR85XkRP31prU2z6xEnMaqipCRBAMcNsQ7syVVZ5qVTU4AQm3S42c+w3YBGRxCN6uUMp5eFGMMPIt65dLP55XghfhDhjokjfhCy13HQxmKRu+Hguu77EYWsngpSdV3h3NG7CzdtNyCOhclFNHa/M3WFUt7g5fH5PAimypkHJoV7fnSoH+vcoU7Z75X4QcRg5LMex5w0hXBnIuL4fCAIY6JIpOL2Rj69oYeEEGKCRExCuWBw9kiF549Vub7Z553LDZGki/ju+tkE01CI45huFCNHEkEoenZrOwMkWWKqnE2vVRCihlMHHOybXUEWiOKEZlck5/ZHfioQy2d0FEVi5Phc2ewiSxILU3lkWeK7X1lJnXIBGl2bXt8jiWOQJGw3eOx1+CdBVeS7CsKeFRzsnQrRfjQRcUxwV9y6ptxP7/1JIQxjGl0by1Ap5U36o5v1CQn0hj7VojVenwNW5opoisybH4t52PT4Ut5PJQWxT3L9kOlKBlkWovaB7WN7AUEQY1gaM9UM5YJJnIj7rh/G5LM6WUsljKFeyrDdGjFwAnRdxfFDDE3G9UPyGR3XCzE0hcEoQFcV6iWTJElIJAk/iHH9m++x44m5jO0ELNSzKZEaGM90BMm01RPu/bqqEIaxSB9QZFo9h2A8c/G8CD+MCeNAJK7bwaHPMwhi6qUMWUsjCCPKeZP/+a+/RKNj88HVJrquMFXOkLV0VFlmppZlOPIp5k0sXaFettLPBHioPk+lcDvB/n5w6/fyafiehlGM7QqH+YMzuc8zfD+k0XMpZj/bNPrOmEikqTLHF0ucWCzx+nOzd3zu/uzv/PEafhjjeaHoL/qCYCiIoglDJ0SSJOI4xtAU+rYv6mhV4fzxOl4QYWhK6mCeJELw5vohpq6ysTcgjBIcP2K6mqHdc1EUiZlqFl2VRbJxNYvrRULwCkJw64fEcYKiSKiKxFTZojv00td1HJ8PrjVx3CDtW9rjmemdrgPXC2m0nTRxUIh/g1TEcXm9zVZjmCaw9Ud+6q6bJAmtnsPidB7zLm7Zd7oWy0+n7m+Ch8TIEWlWOUvH0BXq5Qy1ksXA9sllNLH2lkyOzZcAcR31Rx4ztSwLaZpXwlZjiK4plAsmc7UstaKJHyYIs36R6itLMHJDspbGQr2AoSvkMzrXt7oAlPIGrh/i+OGYWzDEGRtO7kORJebrWRwvotl10FE4tlCmmNM5tVzh6kZ3bKQkoyky50/W8cOYzsBNSeMjx6fVc6gUzEPfcT+I8AOFjAEkjJOsnj0y5gQT7OO2e/in2Hs7nhAr7K+P09UMv/k3X08f36/HQdRMZ1YqTJUzaON0Wt8PafVdsmN+0UERuedHuF5IEMVkTe2Q4NL1QoIgot13kcdrp+9HuH5ITtWxXcFH8sNIrKOeuH+EUUzO0g4JiHtDn2LWoDjud/Zt/9DMzvYCXF8jCIVATDlwHLbrp9wmVZFxvYjl6QK6ppAxVLbbhwWZrZ7LVFkmisUMxg1E6giImn+6nKGYM9AUGdNQafZsLqx2ODZfuO1zU2SZU8sVwigmTpJUwAHQ7LqU8wal8Tl1Bl56fvuf28Gaaa9jp/dzEDNZ40DKcRTFjMZ9UF1T6A0ddtou8/UsCRwyqNvfA4GoLw72MQ/2mSeY4E64rff9FOz3HhSNvicS+JQYkJBlmX7fo1B4tgynb41TeOdyg29/aeWzOJSHxsgJRSp8AooMm42nJ1jhQbDfc9i/Bz8MHquI41/+y3/Jv/pX/woQIou/8Tf+xl2f+2u/9msP/Pq3un7cKe3jn/2zf8av//qvMz09/UhEHJqmcfz48U/9Oo8Kthtyca1DGCZstkZk8wahrrE0V8Aq+bTGA9mMqXJ6ufSJTim5ypC9sROMaSicWS4jyxK+H/LHb24ytANkCb783AzPFyO6A59M0cX1IubrWXRN5sxKGVWRWVz2We9dxnEjhk7A7FSOWK9QrGY4eyLHD97dIZFC7MAH2WK753Nsrojq2dTLFn5iAwmJYjIzk+X4fJE/e2sL1fAY9iI0S2MUJrw8P42iyFiGQqQblKeyXGru8P76DkkCO0OJv/jzJ8mZN5tUSZKg53uMnIA/e3uT61sB+lbMpV2Z/+tfO8fljR5BELPRGFIvmfz0oz3iBHYHCosLNc6cmTv0vnl+xIW1Ln4c8N/e3UaWJXRV4tuvTPHcsYd3BZazHd651AJEg+vLryyQsyYijs8Sn0bEtTRTSB1VVFVmrpYjipOUOJGxVDJodAYuex0HCdjt2Lx0cgo/iAXBc+SztjsYR0kJN7++7eN5EVrHoVwwyWcNwjBiuy1SNLpDjx++u0UYxfy3dzY5uVyhkjdQZIlawaTRE0Kp/shjt+3gB0M+uNYSwVsS1EomH1xtikZJ3xXEU4TD71Q1g+uHXF/tC7cORUKSpPR+XC3eu8k/coLUmVBTZc4eraYbhjvhynqHH3+4w+pWnyCMODZf4rnjtYciY0wwwQQTfBY4N04L+Oh66zM+kgmeFL7/ziZXNro0Og5+GGN7AYOhjxdGqLJwi8uYKrIi077iIkliPf3d6BqVgknWUHA8IZZMYlBViZ32kCBISIBw4JMxE0hgeTpP1tIhgfx4QFspmLh+yB/8aJWhHSBJ8M2XFlgYN1orBTOtRWRZeuhELF2VyWU0hrYYTj5sZPn9wNAVspaWikc/qd6YYIJPg6sb3XRfPVfPsjD1aCfeO60Ru21bODRJUMwId1jfjwjiBGfokSQScSLc8SRAlkV8dqtnM7BD9rlDuuahSAkL0wWGToDjhhiGwruXGlQKJh9dbzFyApo9keC5PFNgapL0OMEETxS1ksn1HeFSqSgSx+eLqdvbwnSO96+2ieOEhJi9lsPIFWtdMafzzqUGcZKgaxLFrJn2F8rnptPXn6lmsQwFxxNDwWOLNwd0c9UsP7uwJ9zyJHjt7E03vVrJSu8zAOUDA4ty3mS7ORKPSXB9s8fW2FXu6HyRr54XPTLtllrA1BXeu9IkjhNkKeEH726x1xH309fOTvHy6Tvv46tFM13j81kduL8ew05rlDoL5iwNLwgJwgRZlji9XH5i5LWsJRxD9wW1lTscczlv0ug67LZtLtxokzFU9jo2r9zlPZng2YOhK1imyqUbHZo9hzBKGDjjRK0E1raHfP/tTUZeSKfvYejK2P0tIQhiFFn06QCCUNwv4iQhCIVw+nf+7CpRHDNbyfKXf+7oHWvvNz/e4cJqhzhOkGSoFi0+vNZClSXCOCGX0YjjhMHIZ6MxZGNvxLsXG6zvCXdLICVa7nVsrm92iZJEkLdMlUrRmjirPwJUiiZ7bXE/t0z1rkTMCSYAKOSE8Go/2eppuQbDMOYPf7xKZ+CBBF8+N8PiVC7tNRi6wkzVIopiPlpt47ghkgTHF0uU8kaaKlLI6qmb70fXW7x1YQ+AetniF760SLPn0B+K+YgfxkRRzPruUPRGooSBLRJNHTfE0BVkCXY7I2w3QJYk9jo2uioTRAn58XqdswQha7qawbyhECcJhq5QK5qYhnLoPc5aGv+P3/+Idl/0bk4tl5mtCqFpMaejyBLruwOiOKHRcciYKkszBXKWzofXW7R6Ls2uIFKVCwa9ocvljR6qLOOHMedP1FOCXqVgIsnCUGC7NSKMYoIo5uhcgayp0h679sKIbt/h//1f++QzOuWCyW/80hl0TeWPfrwq3lsJvvr83H2nin1aVAqiziEBSYLSZ5y87gcRH15rEYSxqAtXKunn/nmF7Yb8wY9XsZ0ARZH41ssLzD6ke/enxfJMnqsbXdHPkGBp5s49lY9XW/zswh4kYm+Ss1Ru7AzoDj10VaHTd5Flie2mjR+MyaSmhqJIzNVzxHFCvWRRyBosTedpdB3yGZ3e0COf0ZEkYbCy27KRZYlG1yYKY/a6NoYm4wUJI8dnxw6w3YDe0Md2A9p9Fy+IsHQVWZJQFBk1TijmdJpdh3olw3tXmkyVTf7Lf7tOq+/S6DiszBaQJCF6lyQo5w9fB62ew9XNHhEJzZ5LrWiSz+pUxolF/58/v8LF1Ta9kc9sLcvr52aZq2WxvRDHDdnYG5CxNN670uT4QumO60G5YNDsiWtRlqXP/Fqc4NGiO3D5o5+usd0YEkQxL56o0+y5DEc+7b4rxISaQrVoUSkYlHImO60RrhdxcbWNJAmBeKfvCmd3xP16oZbjrUsNekOPVs8jisWswh8bmaqKEEJmLJXLGx36w4DeyKPTFwk1q5tdLq/1kGWJOIlTM6koSthtj/jTN9aJk4Ra0UrTacoFkXyz1RiysTckZ2nM1rPMVLLUyxauH2J7guC32RyNeUEqlYKZ1hDFvJ7W0aoqp7ORCSZ4VlHM6Ww2JCEalj5d3W8ZCjd2+uMUb5G2dhCVgpkmcWRMhe+/t83uuOd4ZqXM+t6QoS1qiheP18WAYry2xHHCe1ebkEAuo3F6uZIKOUxN4YNrLfojH9sPWaznqRRNMqa4Vg1N5vp2n2Rcf9fLFje2++n5n1wqp/zGmaqFoSvjhCE4uVhCkkjrC1mC9680SRKxrz67UkEZmyPkLY3L6x2aXbE3ObdS4c0LuzheiCxJvHSyzk7HhkSYz05XLK6PU1AKWZ2j88XUwCKf1bm80RW9T0mcw//yux/hBRGqLPE/fOc4liHuP4oi4fghq9v7r6VRLhh0+uK+dWqpRHfkp8KOc0erbO4N71ozlQ/McnMZ7ZCBdxDGfHS9hedHyLKEqSv84Y9Xx8kbCr/wpaX0uYauHKqF62WLjKGmhn+Ld6nVJphgH7f2vqtPSV/iQbBQL2C7ASLwTpjwPGsCDhD3ioNKjm+/OnfX5z6tMDWJ/ayBMIJjc5/NvvXTIAhFz8EP4k81i3qsHeHnn3+eX//1XydJEv7Df/gPfPe736VWqx16jq7rnDx5kr/8l//yA7327OwsOzs7hGGIqqokScLOzg6zs4fdG372s5/xve99j3/9r/81nufR6/X45V/+ZX7v937voc5JkiQymafHpTKTgUzGYnNvCIqKNd6cdEcxZ49O0R4TrqtF65Da9G44dSRDveoSRjGVgpm6Pm21OngBaXzQ6q7NL76+TLvvEseCRBJFCeWCmTZZM5kM/9N/9xzvXGqy13FYnhHOs1075tRynTCWuLDaoVoKsQwN3dDIZQzOHa0RJwkrc1F6r5mpZCgXTV48Nc3FG21UVcUyVUo5g1zOJGfpqfq1O4xZ3R5hWRrEkCCxuuPy2tnSoXN94ZRw1/iPf3IFQ1cAid2OS3cU8fLpOUZOwEunZ9lujdjYc4kRkWRDJ7ntO9AeDlAUjUZvhO3FmIaCISt8sNrntecfPmrspdMZ6uUCfdtnYTp/yDV5gmcPJ5fKZC2N3tBjvp5LSZJnj1Sw3ZBCVgxh3r/SFEV6Y4gqS/hBxPqOiA4u5g0Wp/Mi4i5JhOgiSnC1EBKxkTgyJ0hbhqFijqOD15wBsiwRRgk7rSFnVyqcO1JF1xUxLFjvUcjqjJyQRsemVjTpDT0qBYuhG7I+bppUixavn5vB9UKOzJU4sVzmyvrNqDQR2Z1HliQsU/3EJslex06HTkEY0+o6qcPmnfDxahtv7BoIMHACLt5oT0QcE0wwwTOD0ytlZEnEme917Ad29p3g2YLtigadqogo3512zOvnpvnReztkZQ1ZEuvf0fkCuy0HDLAdsc5pqizWu0SnVtRx3JhEkjA0BU2VaXUdNFXGMjRUVebnXpzn6EKJuVoWxsLKjKWRz+hcXO2khMokgQs32odEHAdrEdN4uC2iJEmcWq7Q7rnI8uMlk0iS2AC3+i6KLD01xJUJPn/wgygVcABsN0ePXMSx3RyRz+io0yJB5+svzPLf3tlidatHf+SxsTckjoURQRjFmIaGpSsgiSQ/RYEkvDmsMAyN189Ns9m0iSMh9uoOPUxdYbdtU8zqZEwNSYJf/PLyZKg5wQRPGK2ex0I9J5IyTZV8VmeulkOWQJIloihGkiS29kZoqjB7kADHC1ieLuBHMfI4padSMFEU4RS1D1NX+UtfXWF1e0DW1FieLdAZuARBTKtvc2a5QrPvkjFUZmtZji+W0h5gGMbC3fWWvXzW0jh3tMrADjA0hf/y/WvpY9c2e7x6egpdV2+rBToDD9cT99C9jsPADsdOerDROOxydxBCiKLi+RGlMdmpOxAk93uJTfeFJQDrewMyphgoxXHCbtt+YiIOVZE5e7RCp++haTLl/O11SilvcPZIle+9tcFUyUIa92vWd4e3DdMneDYhSRLztSzbzRFRHDNTyTK0A/wgQtOEs2R35KPIsiBM5Q2Wp3MEUYwXxmR0BUPX8IKIIIioFA38MMb3xdrf7ou+WGfocWmtc0dH64s3OgC4fkhn4GHqKtWCgaoIcsRsNYOqyvzJT2/Qt30URSZKEn78/jbPHxdpeJc3urxyepqd1ghJEgk9W40hU2WL545WqU7ScT81VmYLFLI6YRRTLZiHnEsnmOBWmLrKuaNV+kMf01ApZJ+OWn67NRICDoBE9PB/5eeOUcqbDGyfpek8GVOn1XNSkUKSwG7L5tRyOZ0zHhRrXrjeTn9udBw29gTxdGkmhx+EIEsULB1VVagWBAlUkmTOrFSE6CGMOTZfYrMxZLYqhurNnkc+I+qj+ak8SzOFlNw1Vc7wnS8tsdMakc9oaJpw6i1k9XRN39wd0u676fHvtR2+dn4euNkD2WmNOL1coZQzCMOYb7+6wMAOcD2RpqFrCpah8tXzc/x///wKpZyBpavC8TZJOLFUIghiygUDP4h553KDpek8hq7iuCFeELMyV6Qz8Gl2ReLH9a0uUQxuENEf+VxYbVMrWSmxlQQ+vt56YiKOYk7UOSMnIJ/RPnMn9OY4AQUgjhMaHZuc9WTei88K17d6aQJEFCVcWO18ZiKO2VqO7355md22w3TFonaX2uHj1U5KQGp2HSTJYqqSYeQG6KpMd+jh+cLN2/MjRm7IyAmoFi12WiNePT1DkiScWi5TzBnUyxZDO+DMkQpJQvpdrBRMojgmY6hsNUcU8zqlnEHG0ljf7XN8voSiSAzdgFLeIJ816PRdNFXilTNTdPo+JxbLyDLstm1mKqIP+4P3dsbu1ypTZQtdk/mVnztGxtTueB1sN0eQwMnFMoWszmwty/PHauiqjOP4oo6TpPQetDibY6acJYwSVrd62F4gTB8T8Vp3FHHkTc6uVBiNe77WQ/Z8J3g6cXm9i+9HaSKF4wvHe9NQyWU0Lq+POH+8LhJAvYiZqsJ8PYdlqFxc62Bo8lg47pOxVDRVpVow08S+Us7A1FWOzgmh4cAJiMKYjKGwMF0gYyrstGyWZvK0eiqbeyOOzhVBgt32kOW5Qpr89/LpKTp9h+tbwnRBliSCKGJltpDWM29+vIuhqyzN5HHckGPzQuj5nVeXuLrRY+B4NLoOOVPD0FV2WjavnplG1xRcL6SQ0/H8KO0jTBIuJ3jWkTHHvbiRT8ZUP1VPy/Ei5us5bC8Sxi/+Ydf8I3MFijl9bOQK71xqpo/96MOdNCkiihI2myO+/PwsthOQy2hc3eyl6/fQFql5+727Zt9F1xSOLxQZOgHFvMEvvLac9jH9MGZ+Kovvx2RMlbWdAdmxuKA39A8l6mRMnb/0lRXWdgfkMzqL0/lxSp+oN29sD1K+kuOG9EZ+ujbudR1MQ6VcMFAkiVbfZXm2gKEpqIoEksRfeG2ZZtdhrpZlozFkri4MdXMZjfl6bmy6IXp+l9ZEr4UE/uDHqymRPYwT3vxoj//zXzuf3pc+PrCn6Y8Cvv7CPFvNIZoip+KQg+fU7Np3rZmOzRcp5w3iWJhBHDTw7ozrIxD1rjD4Fcfs+hE77REvn54e7zPMdA8EYo/5F7+6zOr2gIypsjL7+a6TJ/j0uJ/e99OOzd0O8c2wMGG+3XWoPGOmd4auYLs3E34u3Rjw4snP8IAeAn1bCHWTBCQZPlrrfdaH9MBo9dw0fe7TzKIe627tm9/8Jt/85jcBcByHv/W3/haLiw9PaD+IarXK2bNn+c//+T/zq7/6q/zhH/4h8/PzLCwsHHre7/7u76Y//+QnP+Gf/tN/yu/8zu88kmN4WpAxNWbruZtNUoT7nSRJVIsPfoM5uNFPkoT13QHruwN6Q49CVscNRMThpbUOyzOFexK9ijmLr78wz9uXGmm0sKaI6LHuwCMII4Z2iKooRFFCqWBSzJvUyxbXNntcutEhSmJsN6A89Fjd6tMf+YRRzFQ5g6mrzFazJAlpUaZpIrZMlWUY1x6l3O0XhyJL1MsWpqHS7XuIkKSEnfYQ243QNZlizmCulsWy1LT4NM3bz3c/ftcwFIIwIopikjhh8REQfBamJ0rXzxPm6znmbxEp5DKH44ynq6IRN3ICPD8SRXSSIMsyqixTyptkTI2B7eMHA0Z2QEJCMSuajVEcM3ICRnaAmpcJwziN8gaQEokrG102DJWjc0XmajlMQ8d2Ahod4c4bx5DPGhi6IDzsdWxGtsZcPUshK5rw+2IL7YDKG+Cti3ts7A4oF0z+8ldXsO6RHnPr735SlLWhKyiyLNyHY9AUCWPiUDfBBBM8Q8iYGicWy1xc6/De5Qa/8NryZ31IEzxGqKqcumSqimhknFyq8NalBnstmzhOyJgqjhcRJzG6pKJrCv646adIMqoik7VMqkWFRsfBdgPMook6HlAEcUK9aJGxNHKmSm/oIcvSmCQhGpymIdbXOE7oDT0UWWKnNUrjhm+tRR4W+/X1k4CiyBMR1ASPHYospY5ScHvt+iigqTJBGGMZwqhgrpbn+WM1JCQ29vqs74zG9wRhwSQBqqqgqxK6lmB7IZIUj7erEqamUK9kyVoG339vk43dIboqnG+RxLWTy6iCjPCYCM17bZtG18HQFJZnC4/lfZtggmcVGVNL/5ckCVlTS8VhrZ7Nx6tthk6AqUiomoqui328F4SYpoqJICFahpq6VuqqzJX1Ll4QUS9ZdPoe1zZ7ZEyVetlMByl+EBGTYOkKsiyhKfKhHqCqyHft8e0fcxzH6KqCH4paRVVlYTIxxk5rxLuXG8iSxGzt5jptGQqaKqV7/lud5ls9h52WjabKzNdzNDqOGIJKglQ5Vbnzmr/TGtHquZjjczp4Lr2Bi+NHGLpy6PeTJGFjbyhcebM6S9P5uyYX94Yem43hbbXVJ0FTlbse8z5ylka5YKaDYEliIqz7nME0hAFREieYhkI+q+H6CooEiiqhyDKGrqBrMq2ecMA9Nl/i5GKR3lCINIo5g0JWp5gzGLkBl9Y6bDVGeEFEPqsjy1LqYnkQfhAxtH1sN0RTxfVhOwHdoSAylAsmizMFqkWLqxs9tpr2mPwVYWpKagylqwphHKMpCr3Ap9ER7tVnjwgBh+2G/OSDbUZuwNH5ImePPFgidXqNSRJLM/d/jX3eMBGlT/AgMHUVs/J09cMtQ7nlv1WCMMbzI5IEbC8kl9Fv6/2r95hjGrqSusEiQcZUaXZtWj0XSZaZKlvj2uSm7WQpb4yJofFY6KJQyGqsbg8YuQGVvMniVJ5qQbh/X9/qEYQxM9UM1aJFeXx/BBjYPuu7A/baDkszebKWRn94cwYbhjG7bZvvvb1BkiSYhsZsLZs+PlPNju/ROiPHZmNvkApVpioZdE2hXLDwgpvMET+I2WqM6A09LEOIfWsFk97Y0ArE/lFTdWolYdzX6DromkoQCidhgJypYRmH76eGrmK7AWs7A+IkOWQy9jiQs7SnJu1CU2753imf//3prWR9U/9sycy1Uuau4o19mLqSCk/2r3ldVQijmMtrXSBhcSqHJO1zIETfFEBXFLaaAwajgCCK+crzs+n+5VbkMzrFrM6H11rstm0sQyTmiP0ZeH6E7QbstUb4QYxlClG9qWvUSxmWpoosTOe4vtUnikRKmqbK5DM333NDV1meybPbtmmMTZxePlVnfU8kA1WK5qE+yUwly7kj1XSPpOtK2iuSJIlCRme2sj+Ple7ICbkbHlXPd4KnD5ah0h95uL5I3JgpZxjaIvnPMjRkGa5v9/C8kJlalqPzxfS7UMqJ+f/a7gDHC9FUmUpeo5DTmalnaPVdJEnCMlSOzQthxsW1Dp2+h2XqTJUz1Ksm71xuEoYxuq6g64LLsNd1GDgB280RGVNFkeVxGoiZijgAkhgaXQdTV8iY6nifLtaoWsmiOOb2qKrMqZUyURTfxjcCYW65L2qdJNpN8Kxh5IjaLCFhaTp/2/3aMtT7FuD1Rz4be4M77q01VcbQ1ZRTo99Sk3cHHm9+vEsUJxxfKOIHEd3xnPHWes40lEN1XhQJ0bEfRMzXszx37GZPIGOoKIpEPitEkbWSdSg9QlMVMoZGZlySHqrRpNtrtlxGT3sOSZLQ7Dr0Rz6ur6Oph/t6YRhxYbVNnCRkTQVdkVHHYhRFllAVGdWS03OarmSYHvfxdju2EEqOYehK+n7a48TkfRRv+cyylnbovrS/nu+fU7vncH2rjyxJlAsm1aJ16JxGbpj+fyGIWNsZpP3eqUrmrvzPW2uBjKXSObB3yWeMexLtM6Z+qJ+zzw/NZUTfdGI2McGtuJ/e99MMyzDTNB8Q1OJnTcABpD0AEOb708/gZ2Lo8s0wkYRUOPgs4Xbe68P1HJ5YJfuP//E/fuSv+Q/+wT/g7/ydv8O//bf/lmw2yz/9p/8UgN/8zd/k29/+Nt/5znce+d98WpGzNJZm8iIOWFNYmS08ktfd64ghatbSqRRNXC+EJGF5Ok9v6HN1s8e5o/ceziiKzLGFIhu7Yui5Mlvgh+9vMXICFFnCHzc4SnmNWsGgXDCYr2f5/tubOH5Ib+gxckJ8P2arNSRvaQShiJVfmsnz4okp+rbP5p54/SNzBap/4RT/zz+8gO2FvHRyipNLlbse3zdemuePf7KG4wVCsWtHbOy2WJzOYbshxlyB187O8NH1Foam8pXnZ257jamyheOFxEnCwlSO3sgnY6icO1b+1J/BBF88zFazuJ6IFO+PfGolk7l6jqEdoOsynZ5Hd+giI4QdlinInsW8ztdfmqfb99hLHKI4ptN3qBUzyIrMbnvEVNnAMjQ8P6Y3tGl2Xb5+XiaX0ZEs4TB1dL5Iq+eia6KxoqmCdOqOnYifO1ZLSZ8AyzMForiH50f0Bh7vXxHq/M7A40/eXOdXfu7Y3c+1lsPzI4ZOQClnUCvde2j55efn+OG7W8RJgh9GzNVzvH7u9mtyggkmmOBpxgsn61xc6/Du5eZExPE5h67KfP2Fed66uIcswbdeWcB2Q3wvQpIkkvF6FscJ05UscZIwrauYpkqz7ZC1NI7MFaiXLP7kjXVUVWZlrsDADiBJ0FRZiJlJiMKYtd0+5bxoMlwJupwfO+guzxZo9V3euriHoasszuRZ2xlgGepjHdpPMMGzDkWROb5QYn1XpNotP6J99kEcWyhxfatHGMXM13PomsJzR2sM7YCrmx1UVcILE+IYFClBViQylnCbna5meOODHTpDjyQRMeOnVyocmS3yp2+ssd0YEccJrh/SHfh8/fzcmOSj8JU7OHY/CgydII0IHzkiVvz4xFV+gglSfP38HN2+y1Z7xFwly8+9PM9Oy0YCPF/n8qhHEEagq3zt/AwfXG2jKjJ/5Runubo5oD1wOTZX49hCKe1TzdYyqSv0dmPI+t4ATVXoDjx+/MEO3351CYBi3qCYNfD8CFNXmDlANLxfyLLMz700x5sf7xIn8OqZ6UMOet97eyNN2xw6AS+erDNyAmaqZQo5g59+uIuuKXz3yzdrYNcLDzn3re0M0mHnyAnImlrqxHcQvaHH2s4gfV4hq6GrMlGUUC2ZXLjeJo4TknEs+j4aHUc43yJS0wxNOdTj2EcUxVxe76YkkYO11aPCL39thd//4Q1cP+TV09PP9PBrgtuRGafh6LrMS1KdYk5nbXeAoSqcXK5QyOoEUczH15vstkUfrj/ycDyLetnEDxJWZgsszxa4sdPnykYHSRIE4K3mCEWSeP5YlTMrt/fmr231WJkrcXm9QxInPHekSm/kU8jo6GO3yf3h/3dfX+HqRpfLG10KGY2laZEgMl2xOLZQ4Npmj6NzRa5sdAmimHLe5MbOgErR4icfbrPZGALw1oU9qkXrvgeGt15jl9e7vHDi0V5jE0wwwZNBrZThpVNTXF7vYBkqrz03y42dflqfjJyAjCkITQvTQqxpGYLkfDd87YU5fvT+Dl4QcvZIlTghJZ9lo5hizmBppiBqqEA4kddLFte3+miqjF+JMHWVSzc6Y+GDQmvg8urZaZZnCmy3RiL9Ari62SNraqmYNY4TLq110prm0lqHl05NsTxb5MvPz/LhtRbNrs1sJcuVjS7NnsvRuQK9gcfJlTIZXSVOhMnbvtDCNFQGI5/+yE/rji8/N8MP3tvC8UKWZwvjWWjAxt4QU1dYmilQLhgUczquHzFVzqSCz4XpHJomo+sKyzN53rncAAnOLFc4PSZgvXCixtXNHpah8uXnZri83k0dei+vd3npZP2QC+/nFbWSie0FdAceWUu7ZxL85wVixuewvjeklNN56fTTn2T/1edn02v+zHKV+ekc1zY6bDWGyBIgSex1Hb7x0gLd8bViaML0LWepXNnsUcqZbO4NefOjXb7+4vxd/9Zu22HkCOK660ckiN7p0fkCP/lgh2tbPcoFkWbT7Lks1LJUyxb5jMFMNZPuXTKGSmfgcnyxxIsnj6AoCte3etQKFvO1HBfWuoBwEx+6PnlL9GBtd8jKbIEEIbydrmQPkW0VReGXvrLCn729iSzBt189bJD6uDghEzxbqJWE4aMfCpOo2VqOmVqOty7uEccJs7UcO60RQZgQhglJnKBowoThpVN1OgOPreaIo/NFuiMfy1R45fQUZ1aqhGFy6P7x9sU9MoaGZ0aoqky9YnFkpshffH2F/9+PrpMxNL7y3AzvXW0RhgmlnE5/5CNLMFfLcGO7z5kjFZ4/LtYlRYZyzhSGlE6QkoPjGOKEg9v3FLf2aCff+wk+D7i01kkJ/pfWurx0qn5Xk5F7IYoTLq/frF0vr3V54eTNvfV0JYPjhfRHPoWsftue/c/f3mBoC3HCG32XUs5g6ASoisy5I1U0TWZtd0gho/PqmelDv7vTEgLFKIrZ6zh4fpSuaeWCySunp7h4o4Opq3zl+cPziIWpHEEYYbshlYKZiqwPzknuhn0eI4je3mwtSzGX4PoR9bLFdstO617bDfnWywu8cWEPY9yT3GmN7npOK7MFVrf6+GHEzC1rdMbUWJktsNMeoasK//u/eBr/v3zEjd0BtYLF//iXzh56rYOzn3rR4s8O9E3//O1NfvVbx9Pn7rZtdg+c0/7PMN5P3UMkXS6YzNaytPsuGVPlr3zrBL/3/Ws0ew7L03leewA+VbN7uG+qq/IXon6e4IuFfFYln9Hoj+99+TsYwz8LqOQNRk5IghC4Lkw/e/XRuSNVkWQdgapKvP7cs8f/rBYtRk5AZ+CRNbXbjN3vF49VxPHGG29w9uxZstksb7zxxic+/0tf+tIDvf7Ro0f57d/+7dv+/bd+67fu+PzXX3/9mUnhCEIRe2vo6n27lcxUs3ccOn4a+EGEH0S4fsTiVJ562UqdwIA0GmwfthsIxb6mEATCGTBjauQtnaylocgS2bEII58Rg6paklAvWRxbKHJ8sczCVB7fD5FkialyhiROCOMELwjIWzr1ssV0WeLMkTLnT0yhqrJwNUuEw/G+u8b//X98NT2mVs8hl9ExNOHa0Rt66JoiYsmmCvwffuks62O3gX3nmyCMURXhpjNbsViczpE1NEp3UKhKksRMNUMUxbxyepowEqQ6XX06nGYmeHrQ6Nj0hh5z9SwZUxQC+9dNLqMLp4ldERV4bGGG3tDD9nw6fY+MofKlMzM4Xsj7V5pc3eiRy+gUsgaVosFcLcfKTIENeYjrh4RRTKvroGkSr5yeopA1ePlUnf/4J5dw3BDXD4kiEYEaJ2IDtzSdJ2dpqcPG0fkiH15rAVAEdE2+LXZb1xROLwuh1A/e3Tz0WKfvcn1LxF0tz+RTcsc+FFni2D1IXUmSpLHfliHuK998eeGJxv7GcUJn4KIq8oToOsEEEzwSvHiizn/6k0u8c7lBkiQP1ZSb4OlEGMas7Q5QDpC9F6fzLB5IVruw2hJOkyWTMIxx/YhK3qSYN5iuZJmpiqS4/XUna2nIwF7HZn3PwNAUXC9CVWQ0Rcb2QnRNoZAzGDo363T/gJsjwMunpshZWrquwu21/OPEw+xvJpjgs8Z2c8jICTixVHpsbm6WoaYuR/2Rz5X1DlGccP5kncvrXXbbDpIsE8cxsiQxVclwfL4kCD15XQxik4QoSpAkmJ/K0eq5Y2d6lVxGuNvWihZfe0GQGFwvZOQGuF54z2TNh4F/y33l1v9+UGw2hjhuwNJ0Hv0RfAZDJ8DzQwrZ252AJ5jgSUDXFX712ycO/Vt97Er7/Xc2U5dcy1B4/lidX/7aMRRZppQ3eP25m7/j+yGyDKamMrAD/EDUAF4Q4YcxQZigKhK2G6bXkWWqLM8WqJctNE25zUXNDyIGtp/28u6GmWqWr4/vJ6X8zT2y74fpIBLA88NDIq6lmQKvnL69CR9EMXGUjAfEErYboKkSQRgLUkoQHRJx9Ec+QRjddLIbQ5ZlTi8JM5Wd1oh6OUN97K1y6LhuuS/tD3VvRRgnh9y9b62t/DBmbaeHoamHar0HwUw1x//0K+fu+nh34BHFgjT/tLre2a7PVmNEPms8k25fjxupm+OJA/0/S8N2hbt8KW+QNVXev9IkHH9PVUXi3JEaO+0RuYwgPZ9YKNHo2Fzd6GEaKs8dq3H+eI3njtVIkoTOmChdyhtIkpSm7718agpVEfeQg/uAg27YpqnyK984xjuXGnh+xGDkM1WWODJfQpFlGh2HldkChayOZShkLeF8P3J8mh173EOXcP2I7eaQqbJ1X3vc268xcS3utEZsN0dMVSxmqrk0Wfhu6PRdWj2Hejkz6dtN8FRif0+xMJ3/XDtEnztaPWT4trE7OPR4EERgaczVcszVbg6093sFpq4eWu9VRea1c9MUsgaaKrO+OyCf0VMRw3Q1w/LM7QSFM0cOG7q9c2kPTZWpFgyiOGFxJs9UJcNOe3TzSYmoR/Ynf0EY0x14yNJ4nhnFuH7IyAn40plpvvnSAr//w+u0ey47bZsgiLHdkJylI5Gk78N2c0izazN0fGpFi1rREuLVjS7TlQz1cobvfnkFEGvEB1dbBGGE44X4oZjNdvouR+dLSBIUDjhS3vo+/txLC7e9F88fr/P8AQHqwb1ZPJ67Kl+ALZGY32bJWRqWoX7iunI/2GmNGNr+U31dn1mpUM4blPLGIzvGOE7oDj0kiXu6OT8MSnmTr56fJYxiSjkDRZE5sVBKv/dJIlIvXjxRZ7qaxfdD1nYHWKbGaJw2to+RG6TX7GAkhBj1okUuK1IpvCDC0GVAoV4yWJzKpXXsL3/9KJ2hRxwnOF7IbDXLK2enGYwCsqZIUI6iWIhIdIXZYjadj/7yV4+kx/DjD7YPnd9gFKApCn4Qkxn3YfZ/7044faSaCrLuhH1OyKTf+sXCje0+QRSxMlMkCJNDrum2G1AtWXz39WVcP2Rg+8RxghdESLKEosgsTuepFE16Qw9Jkjm5WKbVd5iri33LyUWxgX7hRJ2j88V0Fm+7IfmsRrVokrW01JX9ueM1LFPl+nafwdBju+0Q+BFRAqYRMFvNYo17C34QcWKxTNZU8YOY4Th5Z+QEhGGE7UVMV6w0KSCM4ttc+Evje9pngShO6E64AhM8QsRxcqivFUYxUSx6eQ/+WjFBELHXcVLe2kFIkkQ5bxBFMeW8gSxL7LZtBiOPuXp+nMoZQiK4O/P1LAvjPpeqypxcLFHKGRRzt9cUXhBTO5AOMbBvrselvMGZlTsbT4Co908sHjZFPnhfu7XuCMKY/sjD0JTbZg5JknDqwLq6uTc89DovnJziS+duikgWpvK8eubm7x/ka5m6ylxdCEzudL1PVQ4nBv/f/sbLdzw/uGX2Y/uH+pPOLakeB7mZpq4QRGIeFITx+N4p9lN3w3QlQ8ZU033V/+4vnLrrc+M45sbYGOdWDtet7+2TnCNP8OzgVt7ts4aeHZDL6GmSRcbUsO2ATObZqqdNS8PQIYoha8BeZ3RP/uXTCEmSWZktEkUJqibT6rqf9SE9FJZmCix9Sv3JY+0s/MZv/Ab/6T/9J86fP89v/MZv3LV5v09e+/jjjx/n4TwzCMJo3KyLQYJj88W7xmI9bliGwvregChKUBSJk0slkkQMTAFmDhQn3YHHpfUOnh+x2RiyOCXUsccXivz0o10aHQeA9b0B9aLJ+1ebDEc+u20bVZHpjry0SNN1laWxQ3DG0jB1hVopg7vZhSShZwd4QcwHV5ucXi6zvjdM1cEz1QxL4+Ztb+hxca0jCk5F4vRSmatbPVxPFBpLM3mmKhZbjRHFnI4kQ6VgEMYxhqaw0RgwE1r8r392BQlBVl/bG/KLrx92zbbdgI+ut3G9gHcvN8hlNAxduCFOMME+rmx0+PEHO5AI4sYvfWWFMEq4tC6+o3GSsL7TT4VEs7UsWVPlzQt7+EFErWTx3LEaL52sU8jpzNYstppDIKHd81io59lqjpBliVbP4dKNDgD9oc/KmKihqgrH5opc3uiiKjKmrrLXtlFlmetbPSRJoqspLEzlmKpkRGx3Rk83XJ/kCvncsQpvXdzDdkNkSWwKf/DuFgDXt7KpA+j94upmj3bPxQsi2n2X2WoWSYLTK5UnUgwmScKFG+073l8mmGCCCR4Wp1fK6JpwR17bGTwWZ/cJnjziOOaPf7pGqydq3q3GkK+cnzv0nDc/3uFP31gnjGO6XR9DEzG8640hPdtnp2Xz7hUgSYiBY3NFFqbybDaGbLdGXFjtkM9oVIpC3NEb+nSHPjMVi53W6JAD1Z1IdEKQLRz7dU2m/ISGHk/T/maCCe4XH15r8fbFPQAyV1v80ldXHis5Y6s55J2LDT641kRVZKoli2bPIYwSfD9CBlRdwnVDegOXdwcuvaGP7QZ0hx7lvIkEWKbC2u5w3PAP0WKFWsnixJjYPLR9Pl5tkyQgyxJnVip3dLh/WBSyOqYhxGZIny6+951Le3xwVQjKP7zW5i997cihyPUHRavnpI6Zmipz7mj1no5eE0zwpJE1Va5v9Yhi8R09Nl/k6oYwRThIVAzDmD/8yY3UZGVhOidEF4lIir2x0xepXUDGVPmvb64DYu1PEtIh8cIBRyDXD/noWpswEmv1icXSXYlZ+/t0gHLBSHt5uYzOXD3LVkOQIu93YGDqKntdO3XDLuUM1nfFsDVrabxywDl4qzlkY/yYNnYRDcMYSRJ1zj7KBZFUcPOxm/eiWslir2MTRQmyLFG7S1S6oSmHiO9TB14/DGP+6Mer6WOnlst86eyjdYm6sdNPXfdyGZszK5WnTvxtuz6/94PVVAjz2rkZTi5NUonvhM7A5fJ6FxLYaY+oFkw0VaFSNDmxWOb6Vp/uwMPQFaolg//Xf72cvq/f+dIiL5+awgti+rZPGMaYupr26C6vd9PvYqVoUh5/bxsdB1WROXOkwsJUjsGYMHCn7/1UOUMpb3DxRgfb8XH8iEs32iRILE7l+N7bggjm+RG6rnBqqcyltS6aqtDo9lFkCU1VGDoBl9e79/U9uPUam65k+Hi1xf/25gZD28fQFb754jwvnJy6q4hpszHkz362TjLu/f/i68uTfcYETxXev9rk3UsNAHLXWvzSV1YeiTD5WcB0JcPQEbW3aShpytZB+EHEh9du7xXste003c/QFM4dq1ItmofW7/pd1u+DGDkBiiLT6o/oDz0Wp/OsbQ/QFJmpciZN9MpaGtkxyTRJEq5udhnYPkM7oJw3OL5Y4sNrrVQ4f3KpzMnFEj/obhMnCSSJ2P8kCfN1QXh7/0qDdy+LxPIwijmxWCIIEz683qSQ0ZFkia8+P5caZlmGSiGrc2OnT3/ooaoy71zeY6Ge5/J6j8XpHIWszrmjNbSH3BNNVzKpY3EpL0xCvghwvJCPrh/+/D4NAfej6y3eujDuFVxu8ktfP/LUCTn6ts8f/GAVPxT78q+dn+PIXPGTf/ETcGm9k9bs9bL1SF5zH1uNIRtjwqVlCsKjZekcnS9ybbPHwAmoFUUaWH/k89Fqm8GYq3B8oUTGULG9ECRYms7zwdUW240hP3x/G31M9vza+Tlm61kkGa5t9SGB7tCjWjx26FiOL5S4st4lY6oYmsLFG50xcdRnaTpHd+inPIlK8c57puMLRbG3ixJUVeboXIH3r7ZIEjB1hfMna5/6PZv0W79Y+PEH21xZ7wJwea3HN16aS9dFL4jY7Th0hz6yLHFqqUgcJ/hBxNAOqBRMNFUmn9H4+HobxxNGjz95f5uRF+J4IWdXquQsnWOLJS5cF70BP4yIopj13QG7HZtqweTIXOGQKYofRvzs4x36I5+BLYwZJAlypka9KkTWhq5g6Ap/8MPr2F5IFCdU8iaKIrHXtYmjhDhJMHWFuXqehancU3VfjeOEC6ttkTiM4G88rJHDBBPsQ5Yl6mUr5dBVi+ZtwqX7haYqXNnosjnuxwVRzJcOBEI0OjZ/8sZayvlbmc1zdUPU2pbRwNBk1nZEn2+2lmW6kk37ivmMyu//aBXfFzXFl5+b4fjCzf3+icVSWhcVczq2E6b15sGe4cPgYN1RKQi3+X1BwXQ1g6JId+1xPEjd2xt6XFrrpH2FSsFMPxfTUDh3pPpI0usKGZ2Zapadlvicbk0vtwz1EDfz6FyByxvj9C9L5cVTd09W88b7qnBcE5xYKFEu3F1w+2dvbaT929WtHD9/IPWrUjDZadmEUXzf+64JvliIopiPrrcO8W4fteH840atmGHkhCkPUJHlZ07AAbC9N8Qda+faw5jp/LP1OQAcmc3z5sc7xAnoqsy5o1/c2cJjrX7//b//9xw7diz9eYL7Q3fg31TdJiKu6rPadDtexNJ0AS8IMTQVx484uVRmYPsoskTuAIm62XMgEaSQMIxFg7OgsNkYpkUOCJeAl05N8cqpKT663sbQhXNwPmOw3RoxPyU2Pd94aYGN3QGSLFHMGYRhzFefn+XyRpcwitBVlSSBrdYovbECNLtuSrJudp00cjGKEjYao3Qh2X/8uWM1SjkjVTYHYYKuyWw2hsJtrGsztAN0TUbXFC7daN8m4mj33bGbQUy5YGLqKrPVDNFElDrBAayOm4IAvh+xvjcQjY7xv7W6Dq2+S84S19XFG22OzZfSpkAUxaxu9nj51BQnF8vMVrOcPVLlvastVBkypk4cJxyZK/DmxzvMVLNIQJKIYcd+Q/Ur5+dYmSsQhBGtnsvQDljbHZIkYjNl6ionlkpUCuK+c2q5TH/ko6ryJzq5FHMWf/NXznFts0clb/Bnb91M5thqjPD98L4HVXGcpMSQoe2PnQAtFFmm1XOfiIjD8cK73l8mmGCCCR4Wmqpw7kiFty81ePdyYyLi+JygP/JTAQfA6k7/NhHHfrrVsfkSex2betlkeabIcBTQGboYukJn4BJGMRlDY7dtk8vo7LVFs3GuliEBXjo5je0GNHsOIzsgnzVYnikwU81QLVrIsnTHdbKcN3nuWA3XD8ln9IduCj8oesPD+5vGZ7i/mWCC+8W1zW76s+0E7Lbsx3q/bnYd9tp2SrBudcV1/9KJOjd2+2iKxHQliywLAdZ7VxupEENRJAxNppw3afc8NFWlkNP5xksLhHHMa2dn0muu1XdJxvuPOE5o991HKuLYj1kfjPfQ93Lz/yTsE7dAuHg1OvZDx9DC4f5AEMb0hv4h0vcEE3zWGDgBxxZKuF6IpqnstGyOzov1vNl1UhFHs+ccSsltd11e++oMfhATxTF+JFz5TU3hymY37TF0Bx5zdSH40FWZILrp+NcdeELAAZBAq+veUcRxcJ8O0Ol7RFGcDjO/9fICm40RqiIxW7u/69XxQurlDDlLR1UkugOP5dkCYRhjGSq2G6ZunAf7i0EQc2KpBAghyMHETkNTeP5YjaEjkkUOEkAsQ+X5YzVGbkDG1O45yD2xWKI/8m+rrToD91Cqwep2/5GLOJrdm+c6tAM8P3rk6UmfFluN0aEkk+tbvYmI4y5odV1IIIpj+kMfU1Mp5RXaPZdXz0zz179zkp32iHLeZHW7f+h9/fBai+eO1qjkDV48UccPhBvkVDlDGMWHvovtnksQRpTzJpahEkYJM9UsGVO75/e+mDP4uRfmhcu1H9Pqu7QHLhlDTZM9LENlqpwhjhMMTcbzI+bqObIZje3GiGMLRTRVSe8n97PXuPUa+/0fXsceu1F6fsTG3pBTK5W71hPXt3ppXRNFCWs7g8k+Y4KnCtc2e+nPQztgt+N8YUh/1aKFZQi37XxGuyPx6dZewf4stHFgDfQCkRBULpjpfSxravclxm73XU4uljE1md22w8KUqE0aXYfTy8IkKghj8lk9FYu5viC8zlaz2LkQTZHJZ/W09koSaPVcji+WRcpqwUTXZIIgYaaaSckr17Zu7mVURaZWsuiPfCHgkCRIxPdjX8QhSRJH5gpst0ZUiyatnivcyaOYJEkY2AGmrjKwfSr3IGTdC0szBcoFkzhO7iiq+byiM3BT1+P9z+/TiDiuH7iubS9kuzl6pGKGR4H1nYEQcAAkYr38tMfoB1FKpARxvT7K8z543TtuiOMKd9xf+85J3rvS4Op6N+UPXNvqpQIOEDyBX/r6EXZaI4pZA9sLGdgBqzt9ojhh5PrIkszabp+pSoZO3+PEQgkviMhZGq2ec4jo+OXnZlmeyY9T0hL+6Mc30j3Vlc0eZ1eq5DM6yj3c0mulDL/y9aM0ew61osVWc8TyTAE/jDB1FdsJ09d8WDxNfJIJHj8O9shaPYcgjNN1sdl16PTFniCOE3bbLqeXy9RLFkmSkM/qPHesljrNgxAwSbLoJ2qqzsDxcbyQ7cYw7Q0MRgGuH4h1rGiRz2jkLJ0gjFIhx17bplqw8MOYXEanXrIoZnW+cn4OQ1PQVIVcRmNtZyCEVginf0mGXEYjioXpFAhxWKVgcGKx9KTe1vvCfrLPPhrdL049N8HjxZE5Ib5LkuRT1SZD2ydJhBBEkkj31Pu4vt1Pa6EoSnjrYoPiOOnK8SKKWZ0XTtSJophq0WR5tkAQxiiyxPreQAg4ABLBdzoo4jh7pMpU2WLkhExVs7x/uZE+dmvP8EFwa92xtjs4tG6OnOCee4MHqXvbB+YlUZSwutVP5yWuFzF0gkeWwPPtV+/eN3W88BA303ZDlqfzBFGCZSg4Xnio93kQvYEnBByQzmDvJuLw/TAVcIAwx/DDODXPMg2V549XGTrBbT3VCSYAkXZ/kHfb6DrPnIij2bPJZTT2q3nTVJ/JJA7XjwQnFJAl+JO3V/m/rLz4GR/Vg8E0NV4+NUXfDqgXDRwv/uRf+pzisd5tX3vttTv+PMG9YRqHC4wnuSjabsDVzR5hGDNfz6GrQsTgeCGNjsPHa23mqlm+8eI83YHHH/10jSSOefn0NKYujnu/QNI0hVbPpdOH1Z0eIzsgBqaKFquFProqM1W2aHRshk7AYBRQKRpcWG1zbKHEVmPIzz7eBeCVM9MpYSaME378/ja2N8QyVGZrIsY0jhNsN6A3Em6km80hA9snZ+kcHTeSClmN69s9On0XTZE5M44uy92B5DZdydLpe+QzOmEUE4QRUZxQvYOrxv5npKkysiRRzOkYunrbZznBFxu5jA5jxTeI+OtkvCNwvJBmz6HdFzHdGVMjn9GxDBVZggQJWZbJjouGVs9lY2+AqshkTJW3L+zhBRGztRzPjZ2p1neHRONUmYXpm4Sz3tBjr+OQJAmGrqbCpe7AY7c1wtBUfmezy9AJmKlmOX2kzOUbXXRN4WvnZ6mVhNNfHMf88L1tPl5t8eH1NllT4/yJGn/jF05xfhzTbeg76eDZ0BXUB3CJkmWJIIzY2B2y0xph+yGGrjBXy6X3m8cNXVOQZYk4Fp+T8YT+7gQTTPD5xwsn6rx9qcE7lxv8d9849sm/MMFTD9NQU+cX4I7Cx1LOSN1fKnmTmUqOzsBjrz3CdkK6A4+RJwYj+xHBqiyGKs2uIFIVsxrXt3qszBZYminw8Wqbge3R6NgU8zr9rR6yLDFXz7HXtnH9iHrJSgcLlqHetdH3uHDr+mnd5/6m2bX5wXvb+EHE6eUyzZ5Lo+tQyZt84+WFT+XIP8EEn4Rc5iZRB4nHTnIxdRUkQaSO4hhNFeRIP2+QtzRkWWa7JVL3hrbP+t4QxwmRJOEW63kRe12XWtGk2XMp5QxePTPNmZXqoSH+wf7CwPaxNwLafZeV2cIjG0YoikzpEST95CztpqBagr32iN22TSEj3Djv5sp9N5i6So+bw5/Jfn2CzwJRnHB9s0ff9m/7Lhu6zFZjiOtHZEwVVc7w/Xc3URSJl0/edFvLWdr42hf/nc1oZEyNjCl6Cx9ea3JjZ4CpKTddq+MEU1fZaY/oDX0sXeX1czO8f6VJGMXkLI2d9oiRE4ikMEvlvSsN4jhhcTqf3kdkWZC594Wpp1fKh65FWZYfmMygazKqLKW1Uy4j+hiGpoB0uI6QJYkbO2L4XCkY9xRhaKqcClH6I39M9k5YmilQKZj3Rf6UJCm9NwZhzNXNLrYbYhkysgzxeKbwaQlYd4KpqylRRJalB+qnPGpsNYbstG0MTeHYfDEVk9zaT30SZhvPKhRFYmNvgOtHDGwfCfjgWhPPD7my0SFn6ZxaLjNVzhwiCIHYQ6iqjKLI5DM6ex2b3bbNhdU2R+eLqKpMs+PQ6jmM3JB6ySSKE2ZrWUxdZmj7bDWGxHHMdsvG9kLmqlm+en6WnZbNVmPIx6sdZEX0v47M5umOfPKWhqYp6JqMhISmyliGiiSJnmZ/JI6zmDXSJA4QgtF3LzfIWhrH5ku3OcYPbZ//9s4WA8dneTrP68/Npo/lLA1NkfFiMYTMWhqaqmC7Pt97e4u+7bNYz6Vi+Vu/c/ns7XuwkRNwbbNHGMXMT+WYKk+Ssyd4cihk9JtEYwnyzxgh4NNivz65Gw7W43sdm1bfJY5BPVjnH6gFdE25bf32goirG93beh9w8/fq5SyuH6NpKlvNIa2+iirLHJ0vkrVu/q2B7XN5rcN7Vxq0eg6GpnD2aPW2Ge3+bGK2lqXVd1OheLlgEkYxf/7WOj96f4sgjJmtZRmMfJJE3JcToNMXyeOyDP/5e1dxg4jjCyV2WgP+6MfrKIrEuSMVXD/CdgPCKKGQ1Vjd7hHFMSeXyg9N1P4irtV3+/weFrmMRmdfQPkEegUPg1uP6VF87ooiH+p7Pmrugqkr6SxRkjh0rZ87WiMIY6IooTf0aPVcLq118IIIXZN55fQ0e22bdt/DdsM0eXj/vFVFJo4hO67ZS3lhHOkFIT/5cJuPrrf40tkZfu07J9O/OVvL0Rm4XN0QKSAJok+527J552IDXZOJk4SZWob1nQFff3H+tp5KLqNjGirXNntc3+rh+RHTlQySJH3irLEzcFnbHtAfechjU82j88VDn+VnySeZ4MngIG8nGc+p9//9j36yhiLDS6emyWf0VMQB4j7VHSppIqUXRHxwtUkcJ1xaa7PdsukNPeIoIZcVZgphGHFts0sQ5ZESsf/UVIlGN6DVc5AlmdlqdlzzS1xa67DdHPLx9TY920eRJGRJYqqS4dh8iYWpw32BQlZjYPv0hh62F3JkNo8kCUPLdt9lqpLhyFyB61t9Lq13qeQNvvHiPCMv5Ppmj63miGLOYK6W5cjcg/cEb8XAFj2CW3sed4KmHuYKPCmOwgRfDDyKOsLUVQxNTdNbb51NZkyV1e0+thtgmSpHZ4skBx53/IA3L+4Sxwlnj1RZmS2w3bJRFfm2teZOvLpaKUOtJH7WVDkVGGqqzF7HZqdli8ThhdJ9zyYVRWbkBuy2RkiSxEw1y/feXmdtd4ipq/z33z5+x73BPga2z7VN0QdcnM6z17H54GoLXVX46vlZbDek1RfGFZZ5+JgMXeHGTp8wiqkUzEeaXtcZeLR6DpIk1vaD67qmKSk30zJU5us5YdYLYk90j+MwdIW9js3A9jE05Z7GVaoqYxyouwxduW3WqqkK5fzkXjfBnWFoCu2+S2fgoioyZ1cqn/UhPTCKGY3OwGXkCIFpmMTPnIADxMwgGe/P4gROLT97n4UsJVy40cH1Q5pdg+98afGTf+lziie2mwuCgCAIyGRub5Lbto2maWjas3dBPA7kMzpH5oq0eg6mobLwBJXcVzd7OK64Sa3u9JkqZzDGYoxWz0VVJNo9lzc+3qXRdlInjx++t8V//+2TRGMl61Q5QxBGbLeEei2OEqI4Ea6iUUw5b9DsOtRKJkszBYZOQBSJIW1/5HNju8cbH++mzaAfvr/F4nQOWZZJEkE4j2JRlMnj+Nut5pC9jk2taPHelQYD22eqnKHVdVieyXNkrkguo6MpMoamfKIbWCGrjwvUEWdWyjQ6Doam8vzx2yNOayVLqIFHviDbKRKmobI0UeFPcAAvn54miRN6I5/l2Tzz9RxxnBDHCe9cajBTzVLJm2y1hixM5Xj59BR7bYfXzs3QGXgUcwavn5vGDyKub4vovCCM+ehamzgRUYGDkUd/5HNmpcpWY8TIDViaLhxyZ7q60UtdNPwgYqqSRVcl3r/aImtpbO4N2WwOKedNrqx3uLrRYXmmiOdH/Oj9bX7l5wTZ+OJah9XtPu9daTGwfTw/5Gcf73F6ucwLJwTB5NuvLvL2RRGh+OLJOrJ8/6SDJEmQJEkIXSSJ/D5RhYTpypMZuKqKnN5fVFlmcWZyTU8wwQSPBi+crMPvwQdXmwRhfBuxZYJnD6au8q2XF3jvShNNFQPEW/GLXzlCgiBpL07nSZKE1a0ehq6y3RwRS2Lt87wQy9KQZbB9ISQWLgoSkiQTRcJBK0FEFFu6iqzIrO30qRXFGvmTD7apj4WX2+Mhx2c1WH7Y/c0P3ttOCS9/8tM18lldEFBbIz642uTle8QHTzDBp8VXnp/lpx/uYLshJ5fK94yffhRYmS1wcbXNdDVDq+egyjL1kkVv5FPK6XhhTDFn0u47bDQGSAkgJYRxgowgOURRTH/oMVPNYhoKG3tDvv2lpUN/Z6psEYQRvaFPu++SL5h4fsTVjR4vn366rqmvnp/njY+2cf2ISsEgCIUL5n56yGztwdx9FqbzJIDrhVSK5heSwDTBZ4/d9oh2XyRZtPsuGUtlbuy8FsdgGCpxIgad7YGHpipISOy0bzqk5TIiaeej6y10TeH1czdrjp3WiN2WDQn4oXD8r1csgnGqxdAOUCSJOEn44FqTMyvC3OTG7gBZkjDGA9D1A2721zZ7FHPGmPwUs90aMZ4LC4FIlKCqD0+gMHWV44sldts2miLz/PEqOy0bz4+ol61DDvwJIlY7khNUVSaKYriPYeqVjW7qSHd1o0vx1NQDOwFuNoapC+AgjDl/rM5mc4iuKXzpzO1136fF8cUSa2P34Pl67oklqN2KoROwsTcEIAxjVnf6nB4PhGaqWV47N8O1zR65jMarT9k68jQhSQ4YH5WsNEHCdkM+Xm1zaqnC5fUuxZzBsYUS33ppgY9vtCnlDX7xK0dQFZlTy2U+ut4ijGKmysLRfbMx5MhcQYib4gRFlnCCiKyh4foRx+ZzqYj8wo02rZ5DvZRhdbtPztLxx2StreYQQ1co5Uy6I5/TK2UkSfQdM4ZGxhSJ2GEcM1PJCrGmBP2hT9bSqBSqbDaG9IYeOVMlihL6Q5+NvcFtLt1vfLybJhheXu8yU82m5k2vnZshjhLWdwfM1LO8cmYaTZX5yQeNNJ3m6maP6WqWo/NFnj9WxQ9E0vBMNXPIEXQf1zZ7qePw6nafYs54pCSMCSa4F75yXuwpHE/sKUp3SLn6IiOf0VmZK7C61Rcp4TmDge1TLhjUy9Yda4FbsbbTT4Xft/Y+psoZwjAWc7uCkSYFlfLGHfcUV9a7hFFCq+eI5IuS6NXkTJWlmTzdgUfW0lKX0YypcWy+KGaHusLSdJ4rG13evdSkkNFp9V2ubfY4uVhCkiR22w61oontBpTyBr2BR3fgU8jq/PTDbS7eaKMoMn4Q8/6VJt96dQk/iHDHqQLTlQyKLHNts0cha0x6ifeJSsFkcTpPb3j483tYvP7cLIq8y9AJOL5YfCqTDxan87x0aor13QGlvMFLJz99jabIEqeWK2zuDZAk6ZHPv4/OF7mxMyCMRK1xkJS5/7dXt3psNYapSCOMYgoZHccN0npnGMbomsLCdI5CVsfQZFw/xDJ1XjxRp5gzePFEjZ9+vMv/+md7qLIgpL/x0S5nj1Q4d1RwAOI44eqGIHifOVLh4mqbvY5LxtJY3x2SxMlYiCExV/V446MdfuG15dvOa6sxpDvwKOUMGl2HKEk4Ple8p4nG/t8Owkjs05A4tlDkynqXlw70Qj9LPskETwbXDvB2Zus5PD8AJNZ3IvxAcHR+9P4W/8PPHyesZxnaAYWszkw1K+b9jSFRFBNEMUEY0x95bOwN8YMICYmcpVLK6RiaIlI0yhaaIq69QlZH0wQZ29AUbDcka6mcWi6z2x7R6jms7w3JmMKUJowSjswWOLVcueMsXddUZqtZ2gMXU1PJWwaX1roikS+rEwQx3ZHP0PaRJImdls07lxvIssxu26Y7EPwHXZXJZfRPzRO4utHFD+L0fd7vedwJmnqYK7A04QpM8JRBVWW++coC717eQ5ZkXj1zeN2PogRTU8bmryrHFoqEccLQDjg6X+T3fnCNOBIzyKsbPebqWSxdS8UYr5yZ4sb2gGJW5+U7zD0P4tRyOe0hVYsmVzdEglkQxlzf6nF2bLL8SUiSBFWWxuIU0ZPbbNjEcYLrh/zwvW1ePzd719+/st5Nj/+Day1ubPeRJQnPj/jjN9Y4Pl8CoB/66JrMbC3LaJy40ew66KoszCoUIdp8FAijeCwsuXmMB9f1JEkwNGWcfqowU8sQhkm6J7pXmnoUJ+iqkvZ14/juxyzLMj//ygLvXBKpKS9N5qwTPCDE9+0m7/bRXCFPFr3hzXQy4DZDnWcF01WDtR3RLzU1YVb/rOHqhjCrkCUJPwhZ3RlydOHZE6M8CjwxEcff/bt/lyAI+Of//J/f9tjf+3t/D9M0+a3f+q0ndThPPepl657qyMeFMIzpDT2iWBDCwzAmn9GpFiOaXSctKPwgIohuxiOJf09YnhEDl5ETsNEYoPVk2j2XBOEatj9MUmSZjKlhmQpnVirYXsheWxRdYRiz07YZjPyxu5dw9ohj6I1csUFSJCxTuAiHcYJlqJRyhnD6VySiKEbwvoVj3uJUnplqlt7Qw9RVAvP+It1zGY2crXFs4SYp/VZ3jM7AxfFCSnmDuXruTi8zwQSAIBrsO8WBIA+1By65jM7cWNABpIPIoRMwU8ty/JbY0M29AY2OAyRoqkIYRhiaIoolTaimVVXmK8/f/Fv7oo0kSYjig/FTEvP1HPP1HH6Y4Hoh711pMhj5mLo6Pibh9ivLEtaB7/8+ASKKY+I4IQhj4iQ5VOBUixa/8Npyeq6dvntfBLiB7dMfegRRTL2SIRy/N/P1HOW8mToJgEgWGbkBhaxxR9fzT4tCVqeQ/WIWCRNMMMHjw9G5IqW8GCB/eK3Ji49gmDbBZ4/ZWu62CNyDsHSFv/rN44CIPX/3UgM/jPGDED+IhYuTDh6QMRRUWSYIYqI4EY6diXDNURSJvh1waqmEOhZIhmFMo+fQ6bsEYUSz55IxtLSxF41rgbR2zRn3JEI8ajzM/iYKb9YsQRQfajzuD6ommOBxwdRVvvHSwhP7e6oiM13LMl3Ncnm9y+begCCMqRRNpooWW80RuayO7QQ4boiEaMwHYUwCGKqCJMtEcZK6KCUk4+S/m7WzJEksTOWZrsSH6vYojlMR9dOCjKnyzZeF68raTj8lZcDN/c2DQJElVmYLn/zECSZ4jNg3K7nTf0dRwvy4jnC8kO7AxdQUJFkijg6v4YvT+UNO09c2e/RHHl4QH3Kii+OE54+JpMyt5pAwTCjmxGOOH6Q9wCROKGZFqiwIsck+kkQkWbh+iKkJgoapq+MBjcT9Xo22G3J1o4OqypxaKh8yeciaGsUxGdEyNApZHV+PyVoarh/S6XvjNAAO1VrRgdogSRIaXYc4TqgWrUPExujAPSNJIE4SHpTCfet9p17J8NwdjF7+/+z9V5BkaZ7dif2uFn5de2iZkbqyRIvqru6e7mnMDDCCg8GAWIC0XRrJJxhptsATjGZ44iue8EoSeCANRiPWdgGugQvsYiQGg+meltXVJVNnRoaOcK2uFnz4PG5GRIqqyi6RWeXHrNsqMsLd771+7/f9xfmf80nB0BQurjxKSP+skZw577P38KXVKpdWP//jfN6RZlnuADEYB3QKBl4QceBG+Tadpll+T7/xygJvvCIICVmWcdBxaXZdTF3NSbwgvg9DU1hqOBx1xtzbGzDyQubON1ibuM4c75/JmXh67AWM/Jj+OIRMrANhlKDJMi+fbzwy6JCmGa2ehx/GxIlGqSDIh46lU7A0Lq1WOeq4QuEzEM3Qx6lMR3HyyM9eENMd+li6yt94/VHFtfDMa4JINFplWeYbL80/9dqfenYzTg1/pWlGqy/WjUbF+tyGpab44uKzzileFBzv2Ukinj1pUTrze04NgB33FkxdPSVWBY+LrVJcP6I3CrANjcUZh0URCn1oTiGE6DLCKENVZDRVZjgWKuizNZsrj1EYlWWJkqNTcQwURZBdh16IF8SUbA1Dkyk7Zn7e1ZKJLMvomsL1+x38MEKSxLqWpExiITE4axsqpqawPOPQd8N83c0ykb9pnF6znhYLfdmx0Ch8bBGAJ8HUVb77laVP5L0+TVzbqHNt46MRJT8qHEv71NRdNVXhwnIl//k47kizjJmKhWNpnF+u4Pox3YGPZahoqsxM1eIkTzEIYw7bY65tNFhsOJQdncOOi21qOLZGlmW0Bj5fuzzLD365S2cQABlxnLFzOOTiShVVkTnsithLQKJRtugOfMI4FWJzkohD0km/NTxRwxx5EYNxgGPpeWwnSRKzVZuVuSKzH0I+z7JsIgAIZJBOMq/kMYTMz4tPMsVng5N7nG2ofPOlOWxT4//zR9dzzk6WQZJJjzhfFG2dK2s1xl6UO2n2RqFwgpIkNE3CcXRevzqPqgi1fFMT9YD+KGD7cIBlajTKVj6sVrBU+hMxySyDNMlw/ZhayWR9scQ3zxCquwMfL4ypFU2SJGVxxpn0QhJR50hTdE2dKOFrFC2Nw9ZYuOyoCn6YYOoTsUfIc5mzOeqzIE5O1hIm7/2UIsHzzhU4jn0sQ80dSaf4cmGuZvPbb6w/9ndhlODYGkjH7r4S333tIY/o//eXKWkGWZqRZSmen+AHCZIkoaoSr1yYy0VgPgy2qeU1oqEbnvrd2bj9LLIso9XziZOUsqNh6CpLs6IGeH2zjSJLZIqMJEkf2huIk5TeKBAuRpI4NxSRc4Th6fpCkmbUCzqKIlEq6LT6HgVLI04yDF0liFIGY1EnnanaKM/oBJSmGXEiBHckWaJaNE7lOUmSnR4OziTOLX60XsbxoPqxO/qHDZ40KvZjh0+nmOKjIE5SHFt/rDPPiwLX98lOlgtTaHVdGi+Ye6+p6dRLGVmaYhhCNP9FQxilSECcZhiSxPAFHaj5JPCZDXH89Kc/5Z/8k3/y2N/95m/+Jv/8n//zz+pQpngKsizjsOMy9iKSNOOVCw32miPm6jZlRyjfKorEy+cbHHXcPOm7sFLJbTrHXsQH99uEUcLNBx0MTcELYoKJPWjB0mkPPKJITO7vtcYs1G0KtkbR0tlpjZir2diWRn/iPnBlvUpn4LO5P2AwDnjnbpt6ycQ0VC6vVrm+2cYPEpJEHP/qQontwyGKLDFTtVicEcU5U1dp9T2h6CvBQuPJC7AfxHxwv0OSiMGW48Bn6cSgxlHXZXNvAMBec8y1jfpHtoCb4suNMEp4/377hPWwKEaAGBS6tyum0pFGvLReywOgBwcD9ltjtg4GjL2I2ZqNY2tCvTsTRcPZqkUYp4zciDTNKFharvIlSWJo43gCfq5u58X8qqPzH97eI05SRl5EmrnUyxYzVU00dCVOEQjOL1e5vdNnpiLU/2RJTKO/fO40iSE4c66r88Wnqh31RwE3t7qQgetFGJqCqQsrQ01VThXbuwOf29u9ybmNuHriWk0xxRRTPM+QZYlvXJ3jT3+6xU8/OJwOcXwJoSgy790XCjD7bRdVlhiMAzRNwTJVvCBFlhOUoY+iyARRQhgnWCiMvRhDVWh2PWF3nmQYhhhm3muNOOp51Eome60xczWbxZkCZcfISVUgYteXN+qYz3Hsem2jwc9uHEAGL2808IIIL0gwdIUra1Oy4BRfLMiyxGKjwF5zjGUqjP1I5Ad9SOMMy1S5v9PHNFScgkZn4BNOCIxZluGFCZCgKBKHXZf+OODbryxyfbPDtXN15DPNBU2VmavZHHYEKWFpxnmuBjjOYrZm0+77RHGKrskfSnqYYornFTNVi1bPy53YThJurp6rsdccE8YJtbKJqkocdYSSUqNscXurBzxaf/rlrSPeuyvqc5JEPigsS/BrX10SJKMMLixXUeQe/VGIokiszZc57ArXjopjUCoYBJFYR65tNHLV+4Klcmenx7GslipJ9EZBfj76RyAIxnHKn/xkM1fKbna9nNQaJ+mkjig6J/f3+3kTZetwAJmUO384xw6dmTjPk0IO9/cG+TEfdV1e3mjka9/SrMPO4aQOUrPR1I+vwr8wEYdJEiEmUy9/OYgRRVunVNAZjEMkCRY/IQLklw3zJ+6fuVoBP0z44S93CeMERZY47LhcXK0wU3mUhLe5P+Ctm0e4foyiSEJFvFZAUSTmGwVsU6No67x/t8VBe4ypq9ze6nJxpTKpCYo1YXWuiDSZGLFMFU1TGXc9FFnCjxJ0TWHkhei6zPv32rxyvnGKAHxnp0dvKJ79rYPB5F/F+11crVAtmtTKJnd3e+wcjZAliYKp0R8Fp9Smr200aPd3SJKMStFgtl7g/XvtnJS1tlB6RFn3pXN1jrqeEJwq6Jw/4+7xNCzNOiIHyqBWNk8Nst/b7efuSM2e99iYaYoppvjksbk/mIhUiT376npN1EH8GFmWTtX/z/YWVuaKp36/0CiIXkaa4dgamirzwf1OvqacWyzn8daH5RTLsw4//eAAy1RodkO2DoZUSwZv3WyytlBkdb50aoj2cf3BLMtwvZihFzJyJb798sKEqJpRKxkkaUp/KMSrTF1mOE4ZJCGVosn5pTK7TeF49tJGjVZfDLqM/Sh3bQcRfx33Y0/iabHQFFO8aDgZd7R6Xp7/1MomURyTZBlZJvqJl9eqFCxRJ9lpjlioF7i11cXUFd6528LzxbDo2lyROM1YmS1iWxrffGmOP/nJFl6YUDBUirbGB/fbGJrC0I3Ya43pD31AolIyKNg6Qc+bCN6ppFlGxTGQJLg2URYfuSHXNzs5wX55VjjqxUmKoSs0Kh+eQyiKUATfb40pOTrqhLC6PDsVkvyyYXHG4f5+HzKolh4KMl3bqOc1gPNLZeGG8QQULI1qyeDebp+xJ/guYr+VWZsv4voRuqYwdEN6wwBLl/nhu/uAREbG5dUqr16YIYwSgihm7MVEsXAO96OEsR9hGdoj5OyD9pitgyEgnLJeOlfHsTVqJYOjruhd+GHMztEQkLAMjcurFd661cQPYlRFZmnWQVcVgihh6IaUHQNTV2k8Jmf6uFiedfLjm6lap9x/XjQcc5qOY5/1xVIuIDDFFABlxxAuPHFKdxDwva+dHkYtWBr3JjGtaRZIkpTuZA8+O0D9ceBYGmVHpz+a1JNmnl5POp0jKDQqVh7bfuflBW5sdhj7CbIs8cqHiKokacbRpO8xW7NZmS+y1xyDBN+4OkcKee5h6go3H3QB2JVE7fCw45JlgtO1czjACwSPqzsIuHru2Qa6NFVm5EU0J+dk6eqpPGemKoawH1cz/jDUSiaHHRdvUjda+BWd56aY4mkoFXRKji4GkiROcWhfFKwu1JAVONau1xReuAEOEKLa20cjyEBWZa6svHgidrap0e4Hos/tR6zMvHjfwyeFz4yx02q1mJmZeezvGo0GrVbrszqUKZ4CSZLYWCyzdTQknqjqr84XWZpx+Pa1BYZeiG3qWIbC0ozDucWSKD6WLdKJe0d36JNlEEQpFcdAVWUxmZtlrMwXBRnbUIjijCRJWJ0rsjzn8K1XFukOPBRVOHVcWqkSxQnXNupUiia3tkTgFIQJMxWLqmMwU7XpDUP8ICFNU2olkzhN+MrF2dxKrVYySVOQZaFkOF+zqRWFKs6xso4kiWn/kyqAg3GYJztLMw6mrnBlvXYqiTsuIIGYnD12Dzm+FlNM8TikacbQDU8VNFRV5tW1KlkmChvN0Mvvye7EpluSJKGuHSUUbTFUtVAv0B8HvPHyAkEYU7R1/CihWjR57eIMUZxg6mrurKOqMvP1ArWySZZxaujIMkVjV5YlbEMjI+WbL80TxRmaKqFrSq72BGAZCn/7uxvM1Sz6Qx/Pj1iYcUgmKjHHz8BwHBDHaU4K6w0DZqv2E5+R3ijIySH1skW1aPCtlxdAEmo8mirn739MHAFB4uiPw091iOOjPttfhjXgWPnkeSb7TTHF845vvDQvhjjeP+Af/uHL0+fpS4Q0zWh1XaqOwRYZJUtD12SKjs5MyWS2VmDkx7S7Y+qVAlGcoCoSa/MlDjtjLq7UUBSJKIq5dH4GRZaQJQiCmHQS22qqzLnFEo6tcWWt9si+maYZAzfMhziO44RPEx/3My6vV1maLRBECfWyGFIdjHxKto7+GMICTPenKV5sLM8WaZQtTF1mMApJJopRmiZzcbmMLAkSqK4q/FTbxw9ixuOIBNAViTgVirFRIga5FUXC82PCKHnswNaxAqQ0UdV/nmHqKq9eaBBEwoVQmSplT/GC4nH38rF6a71s8Xe+v0G751EsGNzY7LAyG6CqMv3RQxWl4/qTrkooihBHOUaWwd/42hKmoVJxdMqORRglxEmKZahcWavSGriUbJObDzoUTI00TTF0lY2lMooicn9VkVmcKZCmGZ2Bz9iLieMYWVZwCjrfeGkOEAr8cSLsrp+WA/dGfj7AAXDQeqiC7frCkey4PrfXHLNQL5BmGe5Eeek4z8+A1y7O4AcxxYJ+ar8/WaPzgwQ/jHOSy2LDoVZ6tA7y8Lp9ePxQsDReuyjIK8d1ls8Tn1XMI8sSl9eqeEGMpsrPNAAzhVDOPb53bVPDNlV2m0NkWUZGNEBfvzqfKzqerFO3uh6uLwY3kySjbOs5WfHYOWK2ZlE/JjNJ4n4NQqGceXGlwtgT5Kx4olCvaSo3NzsszTjMVCyurFUnw1ISmqoQRQljL8pVHIE8l8iyjHbfo+yYaKo43m7fp1o0URWZ+UYhj/sVWX5kiGNpxuEPvnseP4woFwy6o+CUQ0hv6J8a4kjTjPl6gb/7/fOM3JCKYz4xp3jcczFbtSk7BkmSYpvaqZrdyfzoaTHTx8U0J5niRcQnUc9+3HskSYosS6eeh+6JPTsIE6I45dq5On4Y5/X/Y4zO9FG6Q//UEEfZMXjtYoMoTjF1lcPOmCQ50YsY+TkBytAUXjlfJ4zTx+YUs1WbuZpNrWiydTigM/DFupEJpfHeKDg1xNEbBif6ixn9UUBn4PPSRg3Xi1FUmWvn61xYrhBE4jy3DoYszzukScbQi7i4WiUMEwqWypX1Ou2+h20J0a4gFDGSoSvMVm0WGg5xnOaOq2fRHfgTBf8UP+BULPSs+KKvZ8+bG+UUD7+Tk3v02IsIowRDV7mwXMGxVNJUrB+6plAuGlxdr3Fvr4ciS3l8dP1BGzLxLGQZ7LfHNCo2Yz/GNFQurtV49WKDH793SK2ooygKYZTSG/oYuoqhKZQLBkigqwq/9toSB60RtqEQJ2DoMrqm8vrVWWxT5CvdUUCWQZwkqIogn796sYHrRRRs/Ynq3WfvxZW5IjMVi1dpkMEz1W2+DH3KLzpmqhZlR+TcJ9fzr1ya5dximTQVDk9PWquPc4rzSyIfUGQJSZLxg3gi/OSgawpBmLA84xBECfut0eTVGRISnp/w0rkaza7LUdcjSVNURaZe1vP7VpYllBN7d5pmdAcPn+EkyXD9iCtrNdYXSmRZJvKaHZ2lWbG3lQoGIzfm9atzeH6EoStIiGehUTb56qVG7mT1YSr4H6UHMV8vUCkaT6wRvEg4yWmChzyMKaY4yae5sFIhnIg3DMfRqd+XHYOvXGqQJmAaCralYhkyhq4jPyFO+ih7jCRJXFoV9SRVkU+5Bp98bX6cZ3KEC8s2C40CkiRqh7//nQ2OemNKBZ3FmeJj3+thLUJifbFElokc4NWLDYbjAMPQKNk6aSrWJUNX2T4c5q/PMhF3nFso5+tdq+9jT9YJwfFKP3ZvIssywjilXDAwNAVJgihKSJKHNTYviJ+5/6EqMtfO1XH9CNNQ81jo04wFPqk4+oueb3wRIUkSlx/zbL9IOOiMqDgmY1cIuxRsk9EoxHFeLMHoUkHn6nqVsRtQq9gc9UNKpRdriGvoRizNFfB9Ub/YPhzztSuf91E9G37VNfczi0hLpRJbW1u88cYbj/xua2uLQuHFuom+qMiAzYOBUOyTQVdlFEWmXrYwDBXDUNltjnjv3oixF4kmrQRRkmHqQi1UVWR6g4CZqinU+RWJbt/HnqjobyyViZKUf/+D+wRhwkLd5v986TU0VaZaMtEOR3miMVcr5A4Ciixxf69Pd+Bzd7dP2RFB46sXZ7m302XkRWSSxGLdRlMUVudLFEyVf/+D+wzHIbM1i197dQlFkTEkEQR2Bj47hyMOOy6aJgKbr14WStiWqbLXGjFyIzRV5pvX5h/ZfBxLexhMSmCbKvd2+7R6Hromc2m1+isXSaf44sAPYm5udQnC5BFVjIKl5QU4RZH46QcH9IY+SQqXVyo4BZ3o2GJUYjLQINMd+rT6PrtHIypFk0Y5zYsNorkuCCF/8eYOD/YHjL2Qq+t1lueKp6yJQahYmoZCEMocdUIsU6M7DFBkic5ATLUXJ0Mc+60x20dDZEnCC2J+9N6heJ4bY0oFk9vbvVxVZnNvwOb+gNmqjaEpdAc+AzdkrmqztvDoJKhjaRye+LlWNrEnjYmRF/He3RZRkjJbtSmYGk28h9fxU3rekjTj9laXwTjEMgXx5XHEhSzLuLvbp9P3MXSFy6vV51rh/Flx1HV5sD9AkoSN4ylrxymmmOIj46uXZtBUmcOOy/bhkNX5F286foqPh5OxgCwJglKSQRALm8swSlEVhTRNuX6vzTiIaA8C5usF4jRl770DkiRh82CE64d0+j62pXFxuUKz7+GHMTOVAvM1MSy5dTCcqFTrbExUuU7GrgVTY+SG/PnPthm6Il7+za+vfuLDHGma8pdv7bJ7NMI2VH7zGyt5jP9hcGydYw0PXZVpVJ7cgDjsuGwdTPenKV5svHevxc9vHLJ9MGJpxsE2NHaaQ96/12boRqzMORRtnQcHQ1wvJkkzkjQVObQkYWgKRUvDD2PevH7I7e0e1aLBxdWH7jVeEHPrQZcgEmr/55c+upr15wlFkbGnwxtTfAFw8l7+4H6bt24eIcsSF1fK/PGPt+iPQuaqFt9+dSkXUlBOiI4gwQ/f2eX2dg9dUVhdfEgmlCQIwpT+yKPTD7i0qlKwNHRNxBd/9fbD/Xh1oTQhScooioRlPmzyHdfesizD0BT+3X++TXcU4lgav/H6Mo4lGhqqKnPzQZexF+HYGpdXq49tMjq2jq4qhLGQtyoXHzZETF2h3fdo930URcKxNO7u9kgmA2mzJ5TnPD/m3/2Xu4RRwsXlCm+8vJD/rmCp+bCLqsgYZ2p4TyI9Nbsem/t9JElifaH0VFVPVZHza/R5ot33uL83IMsy1uZLn7o7kSRJ0/rmMyJNM+7s9Gh2PY66LrapEoQJzb7Hjc1uXluqlgz+5McP+K3Xl3nrVpPbOz2yNCNDKD2OvJCVuSKqIuMUhDuKNKlv393t4QUxR11XPEcTEsYxyXf7cMhec8xB26VaMqiXTS4sV1BVmTgWQ1ylgo6hK2zuDXgwUaSdmxCbjlEwNXaOhrR6HnGSTtYVhd3miP7IAkliY6lMydYxTjxvJ8nGUZxw80GXdt+nNwyYqwuyNBK5oMvJe+3+Xp9m10NTRZ39ablAZ+Bzb7Jurc6fdvMwNAU05ZH3K5gaQ1esG5oqo30CjeejjsuDaU4yxQuEMEq4udXF82NKjs7FleqHkiPPIkkzbm93GYxE7fzyapU4SfnZBwfsHI0oOwZvXFvIhylO9tVURcbQFSEs9Zi9xjLU3IWr3fdo9ly8IObCciUfENNUhZEX8eb1I+7u9vCDhJV5QYA+XoPO7p127eFnuX7Era0uYSTUyW1To+KYxCeGR0xdOdV7iOKUveaInaMRqiKTkeXuobIkUSyIWKdetvK6xmDk8/adJp2+j6krvHqhgamruH4s1I8liavrdSpFg/futvjB23uEUcLybJG1BYe9pkeaCReBhTPOWO2+x88+OOC9ex00VeLljQZfv/Kruf4ex0ggHE0+CeXz5wnbh0P222NUWebiaoXi1OH9c8XQDbm91SNOUxbqBQqmxtiL8uEoSYKNJUFAfXAwYLcp3IdNQwhH/uVbO9zf7TMYh1xcq/CDt3bzdebicoX+KKBo67T6HpYp86Mf7mGoChdXK1xcKXNjs0dn4NMZ+FimyvKMg6bKKLJ47mVFQpEkNpYqRHGa8xiEy5eex3z39/r8xc+3iBMoOTr/6++f53/+oeApzFQtfuP11VNOhmfP++Sg2LP2FuMk/Ug52hQvBnRNeSw58ngPPLlWry88dJ/65a0j3r7dpDcMuLBcoeQYWLqKKsvYlkatZFIrmbh+xJ3tLvf2BgzdEM+PaPd9dF3BNlRkOeMn7x/wYH/A5n6fJBWD/uvzRSRJ5B2LM+KZ9cOYmw9E78MP4wlRWThrWoYQQuiPAv7qrT3CJME2VJZni2CIeKBcNGgPfDwktg5G+EFCECaMvAhJknAslaEr/vv8UpnqYxwCfvTOHnf3+hiawq9/dfkRh7+TeN4FbT4qbEs7lU89adhzii8XjnNfXZOxDeVUPatgarx9qzkRTzPzgSYQefEP397j7m4fWZL5rW8s87UTMeVxTu/6MaWCzsXVp+cOJ+tJZ3OGtfkim/sD/CChUjSwTJVoUtdTFAlDV/JjzjLojnxcPyGMAhYaDh/cbzNyIwqWRqNi8oNf7uIFCavzRRoV69Q5vXe3zY0HHVRF5juvLBBECd1BgKErVEvGqWOulQyCKEVFRpYl/DDm9k4PgNW50sfaU/ujgDs7PZI0Ew6Cbsh+e4yEcNg6znOAiSjXs/U/juOQ3lCc08Zimc2Dwa+U432Uc1qecVj8FVwYnlbHmeL5xoteK645OkEYE0w0p7QwfuEGOAB2m0M+uN8ly8Buevy3f//Fcw5PSbm7I5zZFUXiD76/8Xkf0sdGOtnf+iMh/H95rfpMw02fWcb2xhtv8C/+xb+g1+ud+vder8e//Jf/km9961uf1aFM8RTIQLmgszRTYLFRoOwYXFqp5sG+H8TsTqx4RPNnzGHHY6814qjrcth2kSUoFjTSFJbnHOZrBYoFHdvUKDk6kixx/X4HRZIwdJmxH3F3uweIYuuV9RqNisVCo8C5xYdkxjTLhGpWKgqmkgRxknHUGTHyhOpwGCZ0hkLl4sHBgLduHTEci0DvqOPx4GDA5bUq1aJBnKTUKxa3tjrChi2D9++1GUwaN2GUUCroFG1x3EmSPnK9FhqioFIvm1xcqRAnWW7pFkbpqandKabYaY4IQkFYcP2Y2ZpFo2KxNOuwMvuwMLffHE/sdYVq0m5rxPbBkP4oIAMKls7KjMP6QhHb1KiXTDRVIcugYGuE0el7dXN/yO7RiME4ZOTF3N3r50NMJ+HYOr/x9RXm6wVWF0pc3ajhWMKqt1TQKRd0ZMSzsX04hExsRm9eP8yf5+4w4MZmBxDrxZvXj9BUhcUZBz9MyLKMctGATBAtR27IWdTLFuuLJeplk3OL5VPNzq2DAVGcQiaaopapsrYg/vb8cvlUc/mTRLPrMpisJZ4fn1I6PYnuMKDTF9c1CBO2j754a0CSZmzuD8gm3/9x82uKKab4+DANocQM8NMPDj/kr6f4ImD7aJjHAgM3Yr7hcG29xqWVChXH4PXLs7x8scHW4RhNl5mtWEiSRJJmeVMhQ2Lshuw1x8L9Lkj4yXsHeH6Cpij0RwG1skG9ZFItGdRKJq2eR28YsDTjsDzn5LFrwdL45e1mTlw66njc2u5+4ud9HIsAuEHML24efeKfEScpDw5O709TTPGioTvwubHZxTF1FhsFvCBmZd4hTTOSVBCpm12Xg/YYTRFNjCzLSBPRQJUR93/BkCFDuPdpKn/51s6pz9k+HBJEYi3qTEiUU0wxxWePMBR7YpYJZcr/4U9v50MIh12PvdaQmarFXN3mWy/P5/Unx9K4tdUTcUCccNAa89JGndX5Il+/Moc/iTWO1Z6P8eDg9H7c6XvM120aFYur67VTwwn39wakaUaWwX96cwc3SNAUSdTh2i6zNVuoghZ0xhO3jJEbcdh56LBxEqau8lvfXGF9ocSFlQrf/9py/rsoTrEtTVixT4ZWKo5BqaBTLRqsTQYrlmYddltDwjCBDG5v92h2H37e+eUKc3VxXFfWPxpRKU0zNvf7J+KH/nOf32ZZdur72TwYPLZmOcXzgc5A7LPtvsfYi7i70+Ow67J7OKJUEO4Qfhiz1CjQ7nv86L19bm/3IBN1xONhzKKto6kSX7k0w8vnG7lC4f29PkmSEUUpEhKLMwVmqxazNZv5eoGxF3HQdumNxCDIUdfF9cXAx9X1Wr7GXFipsDZfIk5SHEtjcabAUcclnMQLAOcWS0RxSrGgc36pgixLhHFKrWxRdgxaPY/+KDhV11s/M8Sw3xqLz++4DN2Q3jAQyvYzYn1bnnNYnhUEgME4pNkVdfaz69njcG+3nz8XDw4GxGeei8e934WVk+tG7VcmNSRJyuY0J5niBcNea4w3cfsZjMK8v/Vx0Op5DEana+ebBwN2jkZkmVCEfv9+Kyc9byyVmT+xZz9tQNI2NS6tVikWNECiUbZIkozNM8/X/b0BB23RV1EUCT+IaVRMFuqF/PdP2ju3Dod5T8XQFQqWaLr/2quLfO3yLK9caLC+WD4lSLXfGmEZKo2KxdgLMTQFyxCk2I2lMitzDt96Zf4UIftosgZZhoquiX5Oo2ISRglLMw6KLLO532fohhy0XSREz9QPYn749oG4fpnI506uz8fnt9scoSiifn/QHtPun+7/fBycjJGyTOw3J1W+X3S4fsR+awyZqCdt7k/X688bm/uTvTsT8cLybIGZqiXipBkHkLi11WHrcIgiyyzMFPCjhIVGAUWW2T0aoWsKBUvjp+/t4wcJxYKOqso0+z6XV6tcPVdjZbbI3Z0BmiKjqjL3JyJ0Jceg3feRZYmKY9Dq+1xcrfK1K7N87cocX704y1zN5qVz9TM8BiGK0eqL2uvu0ZAwykASz+tfvLmd8xSaXY+bDzpPPW/Xj85emo+N/db4I+VoU7z4OLtWb+6LtXrkhrx3t01/FOKHCbe2emiqTKVo8MqFOq+eF/va+mIZEHl+ECUM3VCQMi0VVZGYqwkV/MO2S2fgE0QpIzckihPaA3/ifCOhqjKXVivsHD3kQRiagmNrNCrWKdHTn18/FOIOmbg/dU3O44FGxWJjqYQXRDQqFkVb582bR8RJShQlvHnjiDTNSNOMe3v9R67HfmvE3d0+ZKJH/+aNL0fPzbE0Lq5UqJdNVuaKLDam4slfdvRHQZ77hlGKqip84+o8K3MOX786i6EreW+g3ff56uU5LqxUWF8ocWW1ys7haOLck/HzD0738vYmOT0c59gffY85mzO8fbuJH4jj6A0Dqo7xxDplGCU4thC0KDs67f5Dx9+xF/Gf39zGm7zX1sEQQ1OYm9QuFxq24C9lwqnjv7y1k7sFBWFCGKWszhdzvtHLF2ZYaBTE+rVSwdRVygWDcsFAVaSPFRNv7g+Eq2AGOwdDJAmKBZ2So2MY6kSs4lG+2MfFce3p+Jzevt08leN9nO/pw7C5d+Kcjkb4YfzM73WcYzypjjPFFJ8WvFCIZimyJOIZVSYMH+UuPu+4vz8E6VjYK+EHv9z7vA/pY+PGvTYyIDTMMn72/sHnfEQfH6ImPtnfgpjd5uhDXvF4fGbjxf/oH/0j/v7f//v8zu/8Dr/3e7/H3NwcBwcH/NEf/RFxHPOP//E//qwO5UuDJEnZb4+JkxRZksgyqFcsnMdMX7t+yHv3Otzf67NUL6BPSGLrCyUO2i7X77exbQ1LUznqjslSEZSVHR2ymPu7fSQJqkXRbPHDhOE4JIyFvemxleLxtH2aZQSRUA3VFJmUh4GOY2k4j1EClZColUy6JdF0sgwVL4hJJ7ak/XFIloFjTW7rjInNcUQYi81+vzVipmKzvljOLZvPxlhZKizhj0nqCw0nP4JHjkmSTinedIcPi6JjP2L7cMjQDXn1fCO/plN8iXHmXiva+mPV2DJAlsT/0kziJH9AlmCmYlG0NTYPhCqGLAmbrErRwDY0BqOATt9j7MdkWcpfv7PHXnOcK2UeH8fYixh7wpK06ui8e69NnGRcXqvi2Dp+GCPJongz9kM0RWG+np06jWbXzRs71qQAE4Qxh50xXpDg+hElR6dgahQsDT+IafU8CpZGwdTIEBva2BN/Vz3hvIME1zfb3N0VjhbVkkmSZnQGPnGSUi7oZBnM1ezPfir7CbnZWbLHc879eDY8co5fxJOcYorPDt+8Ns+bN4748bv7/P3fvPh5H84UnyL6o4D95hg/FKoyZJkgJs6X6I8CHhwMUFWFg5bLyA1w/YhhnCIrMrpaQFNl4jhh5AV0hyHDcchIBl1VgJSxF+KHMo2yxfnlKlmW5QVRgAxhbavIQnEnV/Q+Gwt/Cst6mp0uvKWfVh1ucuyuH+XksE9bmXqKKT4ppGnGfntMfxRgmxplx2DB0lhsOAxdoT6ZpSmappJmEEYxYZQSpylxCpoEkiyhKTKGrhEkEbIsM/ZDtg4ifvbBAdc2Go84Ar7oOFYe1xSZ+XrhU7MHn2KKTxKdgc9wHGJq8ql9OAOkyf+D4P3Ik0aCfKL+tH14hmSWgaaI519RTj8DUZrwy1tHeH6MriuEUYIbxKiKRL1i0ur7hFFCrWScUs+K05RW3yNLM5IkIU5TkjgFJCRZOFaIY3k6qfrmZpfOwGN5Tqhhr8wLJwFNVTjsuPiBOC5LV7HqYn066owZuiF+IGqKRVvPVUZ/fv30+e23Xe5s9yg5BlcmDd4YUQf9KMh4NL3PhLERAEGUcNgeI8sS8/UCnYGP58dUikZ+TJ8HPu08PMsyDjsuQShUGZ0XUJna9SOaPe9z3x+Ov6rsxM9JkuEFMbomUy0aeGGCPInN08kLgihh7EUEUcLAFaRqRQY/iNg+GFKwtLwWFicpO4dDbm93Kdk655ZK1CeqtPnnktEd+gRhgqbIzNVtLENltmrT6nk0ux5zNZt6xSKOHwbrJ+80TVWoFk16Q5/+OKRRMSk7Br2BGFJJ0ozV+SJlx2C2ajNbfTQO32uOuLXdYzQOcQo63aFPkqRcXK2wMHOabHT2Pu8MPB7sDz7S8+d6EQ8OBjiWzlzNJopTdo+GNHse1aKRq+ZrqszaMzhiRnHKg/0B7YHHfM1mea6EIosV/NH8KsuHbqaY4nnEo/XsJ+8xcZJy0B6Tphlz9ULuevWk9zj5zyfLAqoin3KjHXvRxN1ekK3Ortllx8DQFNo9n2bPQ5EFsbTd9xi5kXC9yIQL6M6RcC61TIUgFM3z40GO/DyilK3DIaoii/hq8tr37nbwwojffH2F82dczE+e22HHZa85JohiaiWTTt/noD0miBLW50tcWa/RH4UctseEYcrYj0jTDMuURcwz6RVKssTijEOrJ/qKYZRw2B1zf7/PXnOErsmoioKiyAxGATcedDA1hdX5IiM3ZOiK3k7eG5HA0MR7y4r0SC3m4yJ7wn9/EfDIbf5FO8EXEWe+A1VRWJsv0ZyIMILo5x/TOS1dpVzQWZkrcm+3TxDFeEGCqghV4N4wFIR0hGNfOBngLNo6WSocMJIkJYxTgihhY7GEJAsuQpZljP2ITs+lMF/CNlXm64WJi6FQ9HaWyoy8iJ3DIXvtEXe3+0RxQhSnqKpwGDL00+qrWwcDRm6AJktcOVd/7HkfI4oTDtqCcHnysz+BSzvFFwyPW6vPrv5RktDquQSRwUzZAkkoHX9wv8Uf/fUmfpwQRYIzoMgSBVOlWrJYXywTRindUYAfJOiaDJmKpsr4QcLIj1iedVhqOLh+zLt3WvhhzHzNZuzHOJbGTNWi0/cZ+xGOpdPseXT7/mRoUmeh4RBGCW/falIpGVxZq1Erm5PhzNEpsvTJcz125VEn+Z4iS4/l/HzSOK5jVEsmpcLzkydXi2bOsZjiy4mRG/L+vTayLLE6f2YYIIPL61Uurwun7hubHbpDX4g02Bq6Klwh0jRj4IbEWYYfxsgTgbmz73Xqxw95zNp9j9vbPUxdYaZqCX6SH2FoYp/sDQPCOKFgaciyzOr844eQskw4iBw7450dHDgeYIvTDNtQSZKEzsAnTTMWZ51H3ks4/HnYphjCPnYqkWUJCbFGpqngOCqqfCre/jiIkpS7uz2iOGW+bqOqCookGNeSRE4gF0MzZ8/5dG3ONFT2W2OyLGO+Xjil8n72e/i4q5/rR8K1VJOZrz29hpY9chN8zA87+dIzm9iUdjTFZ4k4jogna1wU/eqD1J8HojDOORdplhF/agSMTw+SLOeOYhIfb1DueUEGp/a3meqzuZh+Zt37jY0N/vW//tf8s3/2z/g3/+bfkCQJiqLwjW98g3/6T/8pGxsvnh3K847bO718qnLohqwvlmn2PF4+X3/EHvBPf7ItLBLDmHbP4/Wr88zVbQ47Ln/9zh5xnHLUc7m0UuWgMyZNmRQMMrYPR3QHAbIs0R0GLNQsHhyNqTgG9/f61IoGYz8mslSsoU+jbNIoW7zpHpGkGYois9T4cHLV4kyBoRuyMl9g5AUYuoplqqzPl3j3TosgTEjJGLoicFuec/D8mLduNBl5obA+zmrc3+uzvlBiec5h53DExZUqB20xBXV5Tdg8393pk2YZvVGAJElUigZLsx9uA1ZxDKolg6Oux7t3mji2zo3NmM7A57ffWP/Y3+EUXywc38NRnJ4aWHjk7xo2P31fDFCkacrijINjaYRxKlw3FJm377QIQ6F0oakSc7UC1aKJZajstce0eh6dvs8H99sTBY2I7ihkY7HEuYUSpq6cUl/5z7u93B48ShJ0XSFLQJGg2fPxwhhJkigVNL5+dY7FmQLv3mnx/v02jq2zdTDEChJW5hxkGXYOR4z9iMWZArtHI1bni1SKJq4XMRiH9EYBX7k0ix8k3J+oZRx2XC6vVUnSjLs7fd6906LV96iVTLb2h/yd728gS1KecGVZhql/fAuqZ8FMxaLd9/Ohl/knqFhUiyZlR0xZaqqcqwd+kaAoMqtzRbYmZJ21hdK0GT3FFL8Cvv3yAv/if3yHm1tdDtpj5utTlZwvIsZexM2tLpIkiJtplrG+ICzHN/cGdIY+EnBjUyhkxUlGs+ORZmDpMnvtEUszRUZexFHXxw9ikgxIIM0SbF3BD2M0VSGIhJKvJEnc9LrESUq1ZFBxDPaaI3YmCtxHXZdrG3VeudDgqOPiBjG1ssnF1eonfv7r82Xu7fY56njousJXLjU+8c9QFZmVuSK3t7vsNkfMVm2hcjOxKZ5iiucdm/uDnIB02HZZmLG5tFIRbpFj0SxN0gw9EeTr4TgiTsWQN0CSgjypmMeZGPBq9sZEccZs1ea9u22OOi6//90NlmcdRl5EHKdUisan5mb3aSNOUq7f7+QKTW4Qc+EJZKsppnhe0Bn43Jm40QKsL5Zy5d8/+PXz/MWbW4zdmFrRYHGieAkilri8VgNgZa7E5bUqNx90URWJ2brN27dbgFCWvrpWI4xTFEXiqO3m5J80y/CCiLEXo6kyR90x7QlpcOtwyN/53sZD5680ozvwc4Xo29s9/DAhyeDSiVhhvm7TGwZ4QYxlqqeGJ9+/1+atifvW7Z0eSzMFirZYbx7sD3JFPUkCx9YYuZFwFZJlHhwMSdOMoRvyxrW5/D2/fnmWv3p7lyTJqJVN3r3TzBt893b7eVO10/d59ULjQ904FFk6nd/Ol/JGZZpm3LjfydUJH+wP0FRRgzjsury0XvtchhskSWJt4eF9szJb/EiuIx8HO0cjoU6NiBlfOd/ANF6cIcAoTrm+2RHKgIAfJmw8RjDos0C9bNLue4RRQhQl1JfK3NsdUHZ0vCDBNJScUFB2dL79yiI/fGePN68fYlsaZHDzQYcwSnH9mJ2jMS9fqHNxuUoQJawtlPjjH93nnbtNmj2Po65HZ+izNFvkKuTEqYPOmIO2i2Uo3N3tcWm1QhglXN/s5M2xMEpYXyhxd0c4/Sw0HhK0QTwvfhjTHQZIEtRKJsuzRW5v9eiPAhxbY685olGxHquqv9scceNBj3bfxQtieuOA5dkiaSaUMiuOcaq+VHYMamVBju6PAzRV5rDjcth1uXaunjuHH2N9ocT9vT5+EBNECe2eT7snhkQ6Ax/Xj4njlJ3miPNLZVbnnl3l8v37bW5MYpAHB0OCKOXSajXPSbYPhRLe2vy0ZjbF84/FGYfBOCQIBXlqpvLkZvOd7V7uVt0dBLxyoYEsS4/UzhdnHKI4Zb85Zr81xrE1rp6rPZYMFDxmLTrpeHEMTZVxg5jeUPTsTEPh7s7DvkKjYtLu+2wfDVFkibduNtEUhXOLZVw/Zm2+lCuUB1GSqxOP3IiV+SJ/+tMHbB+OMDSZP/rRAxYaBWqlR6/F8R6ZphlHXY9aKeOgI8T0hm6EBMzWbH707j4At7a7zFQsqkUT21RoVExaPUFe/crFGUxdZaFRYOdoyM7RkN2meK9joby5mk29ZOKGEa22DxkYhoKqKvk1i+KUtfkSr5xv8IubR5i6yqsXZ5ivP3tvQpYl1uZLPDgQ8cbJGOmLgMJkf2x2vceTHaf4zLE6X+T2do80zZit2fk+f/I+vLhSJYwS9lvj/B4FaJRN0jRj7EVoqsxL5+ps7g0Y+zEgeom/vNXMyZHzdbFm+UFEhoSuKvz4vQNWF0p4fsz24RDH1nnnTpv373d449o8/VHAy+cf1jODKOHGZoejzpj/8tYuuiaTpLBQt6g4Ikco2Bp/+N1z/OxGkw/utcRAiiTxP/3gHpapsrZQPnXeczU7H6y/sdnFCwRB9exnfxjO5mifuQjeFJ8ZnrRWl2ydy2tV3rvbJowTbEPlqOvR6nm8e6dFpWjgWBp/+YsdZFmiPwoZeSGGLuMHKYosYZsqSZIxDCNURULTZVRFo+LIREmGDKiyTGcYIMkSf/KTB4zciFbP5e5Oj5fO1ekNA+7t7zBXtYnihO4wQJVlmn0PQ1MoOQZRnAoH4QzYhTjJ2D4YsjfpYTgFHVmSkBSJ1y408IKELMvE4OOJesml1SpLMw4rcw7bhyNUVeZrV2Y/0ev9uN7KSTGMKab4vJCmKX/y0y3ciQvTUdfl8mqNzsBHVWSWz+S+siz4NkmSEScpu80RQSjq61mWocgQhinIUCud7hssNAr0RkGeO8w+hajq+iF/+tOtXCiiUTUZjiMhLqHKrC0U2ZvEvmGUPJX3U3Z0qiWD7iBAVWRevTDD9tEQz4+xDJXL6zX+4uc7xEmKoSnceNBlMBbXY/doxMaS6FEqisTF5So/fHcPP0iQZYlyQaPsCN7WYcfFNJTcIaTV91hsOOy1xLP/cWPi/eaI7cMhWSbEqNbmS3lNpWRr3HjQPRXTn3TxO1mbOxYpOa5RnszF4GHtaTAWHKVLa1Ue7A8+Uo53XBs6rqEFYZI7jT0Oa/Ml7k6cUBcahV+pXnhcx8kywe/8VYZWp5ji46Ds6LjBw2EBN8jQ9ednOPOjQlFk0Rye4Opa/XM8mmfDhZVKvk5KMnz32uLnfUgfG4auCPGvIBZCa+vPVjv5TLsvV65c4V/9q3+F7/v0+30qlQqG8WKSBZ4HJGlGFCcYmvLYZsCxfZgXJMRJRhwLJTrPj08NcRz1XLpDEcBZuoqmKFxeq1J2DH7y3j5xIojiYRjx4KBP0dIplQ2W54okaUqz69GoWmRZiirLSIpMo2wy8iNsU0WWJZZmBLF7ecYR06qKzNcuNQjClEJBpz+OqZZEkdMytUlwKJ1q+NimxlcuzZCkGd+6tkh7Qu7e3B+w0CgQJykSYBsaX78yi6LI3N3p8a1X5ml2XfqjiGiyeA3dkPPLFQqGykvn6iiyRJwkFAsGDyZNUFmSWJ4tMluzPnLDRZIkLq5UqTgG93Z6+Ws6Ezu2Kb7cOHkPP80iPEnhmy/NE8cpmqYwX7dZmi3m0+6DccD799t5g0SSJf7wexuEScrIjdjc79Md+HhBxHAcYpkq9ZJFFKf8vV9bJ1EVdEXi/p5oKMYpPDgYMlcroCpiGOul9SqmoeEHCd1RyEJJkB/dSdFwebbIve0eVcdEkgLOL5WplU02liooEiB52JaKbWjM14Wl8MAVqsLnl8qkWSbWCe+hQniSpHQHvhhemQxRZVlGGKeEcUJvGJBmGRtL5ckaIU+UCxU8L2ToxdTLBory0Qc7/DDOJ+ufBkWRubZRFyo6ivTE9UCWJS6v1YiTdDIx/9E35zhJSdLsVIP8ecV8vSCSPUkoA0wxxRTPjmrJ5JULDd6+3eKvfrnLP/itS5/3IU3xKWDsRaLRrqucWyxRKuhcWReJdJZBpWhwe7uHrqnISgRJimXKkEk4lkIQJsgSXNuo0/llgGVmjD1RrCtZGrIq8+2X54liUFWhin31XJ2vXj4dd4y8h0oSWSZ+nq3a/MGvb+D6MaWC/qmQjFRV5rffWMcPY3RVzpWGz8L1Y9I0fWZC5EKjQJZlaNpEzQYR9y8wHeJ43hDFKWn2YsQ9nxWGroiLr6zV2Fgqc2WtRn8c0BsF2IZGnCSEYYIsCxKlaaikZEipUFg1DYWyraNqCkXLoGApqKo0aUbIhFFMs+cRxQm2qfHVj5CXPO/wg/iUxfbYfTHVcqb4cuH4WT/G6lyRtbkCiqqy2HD4zstzDEYxlqXy7p0WUZwiSWLPDuMUz48o2hp/9/sXGHkhuqLwZz/fmuyhGVkm4RQ0qkWTgqHyxz/Zyj/LD2LWF8qUizqqLPOLm00cWxZqTWHCYBSAI9T2ZVliZcYhzWC3PeKNa/P4QYJlKnk9EsTfvnKhQRSnjzTajroPhSOSJKXV8zF1DUkSjpyNskUYixplo2JxabWKLEn8x7++z2zFEoNrmkJ3GFCZiGAszxX5g+9u4IVxLl5xjMP2OCcoRbEgPypKiqYqj+StcSxUsQumqFkUJq6+x0MmAGGcEERJ/h20+j4zJ4555EWf+hBHFKdkWXZKXQ9gtmoLZ9cs+0QHOIIoQZGlvKYMImYc+9ELNcThBXHefIZHn7vPErIscWm1wmzV4vWXxEBSqXBEmqYgiYGpN67Nk2RS7pb12oUZjEk8u3005K1bRyRJRhAJYsNgGJCkKUM3ZHnWoVay0DUl/440VT4V959bLNPsehPiY4yhqXSGAf1RSBgmSFLG0ItQFZm1hRKFCzOkqXAEjJM0jxWiJKVo6xSWtcm5iSGsRtWgXjYAEXcEYYJqyafWLFmWaXZdMXhWtUkzSNKEiysVFFmmOwgYuiGlwule0cpckaUZh62DQW5LH8cp3aH/yBBHo2JRLZls7vbYaz1cf/rjENcX9cyFRoGhG3BlpULhGZ/fJM0YjgLiJCVOMlI/FuvnBAuNArNViyBO0acEhCleABiawqsXGsRJ9kTSzPG+2RsGOVEoiBKiJMWQlcfWzg1N4TdfXyGIxDC6+YTcz524VERxShQn+ZDISSRpRn8cUC7oTAy88YOEwgmNLE1VqJYtoSKcpPTHEb3Jszl0Qy6tVqmVTYIw5r27bZI0nezzCVfPCTevWkkMk8VJyn5rTLVo4gUxUZSgKDJJPuSaEcQx9ZJJvWIxW7XzeEHX1dy5PE0zXC9mpIWUCzqdQcxvvb5GJmUUTC0fDl2ZK1JxdNI0Y/toJPZ+VebauRrf//oyaQo/ef8A25g4oQcJSZISTXoQIzdiZa7If/Wbl/iDX9sAMizr0TXu7Lp8fG2f1Geeq9k0JoSvL2IP4NximZU50Xf7Ig2ovKgoOwZfuzxLmp2uUzzuPlyciNccf29hnPLqhRncIMJQFZp9j2+/uijccKKE7jDE1CWSTEJTJEZezPmlEjtHY9IJGdwyVRYbBVZnCrx3r0MYJzS7Lk7BwA2EO9rIjdA0GVmSJgrmCa2+EOtx/YRaSadg6fzDP3yVvdaI+ZqNZekszRYZjATpNM1E/LdzNGJtoXzqvLNMECmTNGU4DlEna/JxrvdR79On5WhTvNh4XH44V7MpT/YQWZbwgxgkeOVCg8srFYIk5c52j/3WmMOOS2/oY6gSvb5PGKUULA1NlTB1lUsrVYIwQlEkrp2rkyQZKVArG6RpSqNkcWG1xkF7zGF7TIYQVmr3vJyUXS6o7PdiygWdkR8zdkOo2rh+xGDkkwEXlysYhsL6Qpn7u13iWOQcSZqx1xwRJxnzjQJZKvTer67XKdgaiiyRJCleEPPB/U5+DU7mr9//2oro/cty/gz9KgijBEmS0FT5VF553FuZDnFM8TzA9eN8gAOgOwy4sFJ5Il8lSTI2FgVfR5FlWj0fVYIkHzQo06iE6IpE+UyOrmsKL2/U8cIY29CQZWmSG6c5B/G4ZtjpB8RxShDGKLLMUdvl4kqVsR9hGRpekHBusZQfhzsZPjzJlzn5DJ5fKtMtBTimimFoVIpGvtd9cL/Nr722QJxk6KrCO7ebeY3EDWJevtDg9SuzyLLMre0u1aLJWI0wdZVWz8cpGCST+ke752Maov6po1C0NS4si6GGxw15p2lGGCePrT96YcJCvUCWCUcxVZZYny8hSSKfMtIn165O/pymGa2xR3ES45/MxUDUnq6sn+Yolc/keE/iIh3X0HrDAMOQGblqfk76pEZ8EtWSydccQ/C1fsWa5HEd55Oub07x2eCjcu2eR9y4f4QknXZ/OeqMma29WHwCSZZyoT9VkXnzxgGXJkJgLwo0RWGpbuCHCSXHoDn0P/xFzxk8P2ZlwqGXJYkwejZHlM+l+2KaJqY5tXP7VeD6ETceiKSmYGlcWas+sqmVCjq9YSAm5VNh36koklDxmuAv3txm92jE5n6fRsVCVxXiNOPmgy4zVQtdk/jrd/aFUp+fULRVNFXl2y/PkwIHbaHiNRgHFCydgqVyZb3Kf/zrB3iBUKuoOjq3tnsULJWDjstrF2bQFIlbO33SFIq2xu9+a53/+NebdIcBw3HIxdUKZcfgwnJFbNoTSJJEGEX8yU+2GI5Dxl7ExnKFziAgTVMURWah4eTXolQwaPd9SgWD/jjCngRqpYLBzz444OaDrlAdLhmszpWYrdmUC/oph4Jq0fzYZLZq0aRg63mw/LQJ5Cm+XJAkCVV5+v1UdgyaXQ9dF7ZR1dJDBTtZligWDGxDzQcqqo7BO3fbokCjSLx5/Yj91oj+WFgGjv2Yo65LEMX8X/4fP6bi6BQKKksNhzTL2DoYEUYJe61R7pbRbLsszxWplExsS0WePAPHhIh//1d3+fn1Q3YORxRsFdvUuLBcwTZUdlsjesOAkRcJ+0FVpuzoSJKYCpckCVWWKBV0NFWm2fUYjAMOOi5BnFCy9XwyfOgGVEsmhq5QKRoEUYLnxyCJIS/bVLmz3eV/+qt7uQ3hf/23rqB/iENHlmXc3u7ljaeLK2LN+TB81ILnxw1U232Pe7tiynymaj11uv15wTSRmmKKTw7f+8rydIjjCw7H1vJigCRJp+LbWslkMA55cDDg1laHsReLAeNJU6Y7giyFvaMxhqkiAWlKbg8+8CIqts6d3QGtnkcUpRx2PX5z5POdV5ZOxR3H+QEIwlXR1vGCmOubHeI4xTZVrq7XPrU1/qwb4Enc3OzysxsHkAnVhW+9vPBMn1EpGuw2R3nh5XmyNZ9CoNXzuLfXh0wolK4/RmX1y4iyY3A0yUM1VWHrYMBgHDIc+7QHHn54XPRJ8UIfTRGxaRALAqEXpnSHEZoioapjbEMMkBdsBc+PGYxDnBTevdvmyloV29Q+NC953mEaKpoqE03UvErO9Hmf4vlHuWDkapEAf/6zB1zf7CFJ8J3XFvnD752nVhHNst4oEOuCBPM1m3/3F3cI44Rq0eBvfWsdZ9K4Kxd03r/bJs0yLEPh/bsdhm6IokgU7Yc1wIKlUS4a6BPCYMXR2W6OIINKUWevOWZzf4g6Ubv/4F6bDPG7kSuGpsa+xPkleOtmE4DlWYfFmccrpS3WHXYnKpWKKiNJCCdOCSxD4Ufv7RMnKaWCwbWNRp5HO7bGB/c7pFlGwdKolR/GTZv7fX707j5JklEu6iiKlJP1l+Yeqk2risTdHeEeoqkyV9ZrWMfNWz/kT36yxcgVdcK5us39PSHo8sqFBq9dnAGEo9FgHAgnEwksXeXH7+8TxSmOrXH5U3AvO4lm1+P+vtgv52r2I6rkojH8ya3jd3d6tPs+ksQpcrwsS4+Q5Z932KaKqsq52uPnGQ+Gccqf/ljUvHVV4SuXG+y1RvhBTBQnlB2Td+91TjncOJaGqav4QZyr1bb7Lq4fk6UZW4cqF1aE0qyqiHp/nGQEYYKhKjiW/kgtul42ubvTI4gSNFVidd7h9naXW9tdbm11iZOMkqOjyBDEKQcTheu5ms3GUpl62UJXZSxDnTT4U/aaY+7tDibqnmLAVFdlVuYcvCDiP/1s59SaNV8v8N69NhISigQLjRKKLPPunRa9UcBea8R3Xl1gfUHUxDb3B/kaWJzcg/1RwFHXJUkzkjTLFbiP8fMPDvjgfodmz2VjqczqXIlq0RDOPuOAd+60Ju6GHt97bekRRdKPAkWWqBRN3r/foT8KHkt83twf5M/T2f7GFFM8jxDEqMfvKa4f86c/ecDQFSrdl9dqFEwN01DQztQOzsYDWSaeh8EonIgfVSmeGaAqmBq9UcC7d5rEScb6Qokr69V8wGHsRdx80CWMEn7wzi6tiYPGxnKZStFAkY97gTrLMwX2miMiwNBkapNn73gfUGQJy1DJyHjnToveMKDi6KzNl1iZLeYDJLomM18v8M6dFj+/fkCr5zHyImYqNqau4PoxB+0xsizz7ZfnGHohg1GIJAlnk/l6gdvbPeF+mKSM/JD37rYxdIX/7k9u8NJGHcfSubJezcmftqVTMDUKpsqtrR5xkrJzNBL9koJBnCSoE/GqpdkC++1x7mL2+tWHBHfrCXt2q+fm63KtbPI3v7lGkqTc2OwQxSnWpB50tq/xRRzeOIkXkXD0RYYsS8iPiW/P3odn65a2obLXGjP2oomzisO9nT4jL2S3OcbQZQajkKKlMYwzFus2Y184oh12XFRVZuiF7B4OuLPd495uj+E4JJu8t5RlJJmop8zXbTRVwdQUOkMfa+JwcOz8tTRT5P/5H95nMA6xTZX/7d+8zGzNZnnO4cZmhzRjEi89jGFkWaLT87m316c3CAjjBC+IKZgajYqFY2vPNGg0HeD4YuFJ+eFea8T93QE7R0OSNJ30H0BC9NEXZwpEccrIi3jn9hGDccSdbRGzH4ewhq6iyBKKIiHJMttHI/bbm8gynF8qs7kPR12ftbkiYZKysVTJBxaRYL5RwH7QZb895vpmh/4oZO9wzNpckaU5h7EfsXM04taW4OXEcUKtZHHU9nBslVY/QFMkUkQuKkmQJRmtvo+mydzd7XJto4EyGRy1TA1DU3JF+rP53tN6EB8HWweDvB6wvlCi7Bj5YLksS4/ENFNM8XnBNlWKtp6T/o9dF54U55Qd8bfKZCCy1XP5xU3hdLu+UKTVc+kMAmQJXt44ncv6YcyNTeEWahnCUW5zf0CaZlRLBgVTyx1r6mWLneaQTj9AluGVjTo/v3GI6wuH4O+9tkxGhiJJSJIY/njr5lHOl1EVWThRSEIs+t27LZpdD0WR+BtfW2ah8bAeWXYMRm6Erornc2GmQHcitOzYGrau5oNd5aLJ27ebuH6MKkt8/+vLbO71SZIMQ1dYnilwb3dAlmWUHZ3e0OOtW8IB+fWrs/zWN9by6xEnwgnWm5zT1fXaKRGUmYrF7tEISQJLV4jSjIOJe9LqvBDAPnbiOMtVKhX0fEhNliXmqhauL9Y9a1J/OYuT3/nJHK83DLizI5y/aiWTCyuV/O8MTeKvfrnLYcdFluG3vrEKMBHTlbmyVntE2EX+BGuSn3R9c4pPH1mWcWenR3fw8bh2zxOunJvlxAwVacYLN8BxjOPzCOOUN16e/3wP5hkw8jy2W2K9bg1i/m7hxepDABQLOkicqk89C14cCa0pTmG/Nc4bUWMvot33mT1jh3l+ucJRx2Vp1kFCKKrUy2Y+WXnQHufN1PX5MuMgolG2mK+LhanZ9fjgfhvLVPHDGImMNBWNpP22sDWrOgZBEBElCatzDhdXKmiqwkvnatzf7YtpWV3BC1OyTCQz7b5PrWyyUC8QRAkVx+S9u026w0Coibkhm/uD3ALtbJPjxoMeIzfCDxP645DdoyEXVyo0ex7zNYtXTliKzlQtFEXKbRTjJMOxNAxd5eaDLiCaP/1hwOpciaOOy3zN5tJqdaL+pT/TZqOqMr/9zVVubffQFImr6y+eZdEUnx9qJZOLqxVGbkSpoD+ywOuqzG9/a40bDzqT51nKbXU39wYiCTA1kKSJwpOHH8TIkkSUpsLRgoyuLux0JQmqRYMwShm7oWhYuCHDcci1jfpEpS7E0FWurtVo9T0+uN+ZDJToJGnCK+cbrMwLdbwky3AsnShKqJXMPFkxDRVFkXD9mGrRwDY1bFNDliR+dv2Q5RkH29DYb7tUHINXL9TpDgNmKhbffnURU1dZnSti6SphnNAoW2iqwg/e3suJWwdtl+sP2rx28ekWqYNxmJNY04nqzecZWO4cPiSbNrveKdvkKaaY4ouP77y6wP/9//s29/cGbB8OT9mlTvHFgG1qXD1XpzvwsU1VKCdPMFuzURSJ/+5PXCxDI0oywjCmUtRpDwIUSSKRBUlJkqBoKDhFm7tbPZSJolSapVQdnYO2i6GrRFHGj97Z5zuvLJ06jvl6AU2Vcf2YWsnEMlTu7fbzvML1hVL/cT7wWeLt201hmw7c2e5xdb32THvz0671FM8Htg6H+Xd9nH+9SOrenxbW5otYhkoUJ/hhTKcvXOxkWSjZSKTHlw0JUFWJuZog7xwTmDMgyTJMVQyOW7rCN16e57Dt0h+HrM4WiWOhKnt+ufI5neknB1WReWmjPlH2lvOB8ymmeJ5RKRpcXqsyGIdkZPzb/9QDBMnxR2/v8fvfXkNVRc7rmBpJ2USWJLYOhrnaZncYcH+nz+V1QfquVyzOL5dxJ3bNR10Xy1BJkowszfjalVlcP+LCcgVdU2j3BdlIUSQ0TajlFy09z/vjOOXB/kAUnzOh9nluqSRcu2yN/jhgVhfP287RiLl64bEEv8vrVTRNpt33aFQs9ptjemMR2+wcDSnaIu4xdJn99lh8HjBbLbCxXMILEuZrNtkJ4aK3b7XyNa8/DPnqZXFu1aLBxlKFo65LnIhB2P2JEn8Upxy0x7lYwnFdEcQw7O1f7rI0K+Lvd++2uHauLgYAkhTb1KiXhbjLXnOIY4ljtnSZ/Y5L9VOMM7ZP7JeHHZe5uv2JkVHO4ri2DOJejOKUc4tl/DCmXjY/tc/9tKAqMi+dq9HqeWiq8rmK69zd6dKd1J/COOGHb+9zZb3KXmvMUSdipmKRphm7RyNK54RSmmkIIu27d5qcXyqzNufwxz/eQpVlKkUDVZHJ0myi8CWGnb718gIP9vskWcZvv7F+qj4Oog620Cgw8kIsXWH7cMSV9RpJmjL2Y2pFA02W+PM3t/nGlbmcyFwpGuwcjqiXLSRJKDsedV2aXQ9kmTiJKViCvFgq6KzMldhvuwzHIeFEfbM7DLi70+Xqep3fen2FnaMRjYrF6nyJ9++2CKOExuQ6vH27xfpCGT+I8+FWMqFeeX65zM+vH7EyW8TQFA7bLvP1Qt7rGLkht7d7aKpMo2LR6nn8xtdXqJctZioWv5w4mjQqFkmS8c7d1jMNcQCcWyqxud+nVBDqnyf5Bmefp63DR/sbU0zxIuHmg05OCLNNDW/Sa5utWh9KKu6PAwYTsuPxWndl/bQqpK4p+FGMZWgoikQYJWwfDtlYqgCw2xwRJymuHwkXb0nC1BVG44h62cIy1LyP92uvLVJyDA7aI1ZmSxQnIlKz1Yd5giRJWKZKmmSUCzqWqXFrq8vfemONSslg5Ia8dkn0Fh4cDOgOglywSlVkKo7BztGIgqVhaDL39vqsLgjHVV1VmKtarC0IReEfvrPHb3x9mdvbPVp9n/mGM+lpjji/XGGvOc4JVIos8dJGnf7YpzPwGfvCAaTZ9SjaxsSNwMaxNeZrBd6720JXFTRVJj0pH/oEvHOnla/Lnb7P/Z0+uv5wIN7zhcvZ51EPmmKKXxXeJGbVNQVDk5ElMcT97t0WM9UMVZGwTQ0JibWyycqcUMDePhhQLhj0RwG6oTIYRxRsfeJoJk1UslNaA49q0RSxxqSH6ikyy7NFbm51mK9a+GGCritsHQ7QtePh8ZgfvbvHH37/AuvzZV4532DghizPOJjGaSG641pZs+eSZbAy7+B6MfN1m6UZ5zFnPcWXDY/LD3VVYedoRG/o44cJB50xlq4iSeAFCYuNAiM3olIyGI5DCpZGGKeQSeiawlcvNbAMjWrZ4KX1Oh/c77C5P2DkhkRJRpqmtLoehq5QMFXiNOXGZpeXzzdO8RjKjsFvf2uNf/Hv3p38rUacZoQTZX5ZAsNQKFgafiicAaM4JUoSVMVgedbhsOOysVBidU7ULgfjAF1XWJkrEsUZhx0375spssTVcyIvUZXT+/wnhTBKxAAHQAZbB0Nevzr3SG9liimeB8iyzN96Q3CHZAle2mg89e+FGIuS13z+8hc74n7OBIewYGmkKWKw60y4f9B2c4VxL4h5714rd4vr9H12m+NcWPn2dodaSdQ1VUWeDDhqKLIsxKmimKvnaoI7VDK5u93L+TL7rTFJkmLo4rjeunWUD2UkiagdLDQe7o9LMw76iXN69eIM1++3SdKMK2uVU848O/sDSgUdVZbQNIWjjsuVtRp+mGCbKkGUMlO1RF3QUPjhO/v5cMSbN4743mvLuaBss+sJAVpELW3/RP0R4HuvLXF9s00QJZxfKnN9swtZJnIaQ+OlczXafR9TV5k5U7tani1iaGp+ToauctRxSbOM2ar9sYSot4+G+bBIZ+AzdMN8EO3B4ZggjLEMFVmGd243KX9F9GbDKOWg406F2KY4haEb5c/j88C1exZs7w0f+bfhcEix+GJxdKQsyf9bkeD6/S4bSy+WE8f1+0LgjMkg8h//ZIu/8frah77ueYJjaVxdr9EbBkKU7BnrwNPI8gXF2eKoLEv0hkKJytAVlmeLKLLEQuNhwU00MMfsHI2oOAaqIjEch7QGHhKC1GVbGhkPC36GpiAjTVQtxGdmQLlgUrB0OgOf/iig0/OJ4wzb1Li0VkOWZUFATsXwSEaGZSoUbR1Vk5Gl4ylQEfgdN1skSSKKE/qjgJ2jIaahkmYZtza7xGnGN1+aE/bAXsTQDWj3PfwwxtQULq1WWKg7tAYed7Z7LM4UcnUwL4ipFA0WGjbbh0N+9N4BO0dD5usFZCD3F5LEtXxwMBBE6rrNK8+42Ti2ztcuP51IPsUUT0K1aFItPnlhd2yd16+KKcobDzp4AQRhTHfg4QXC+ldVRNNypmLRdw8ZuiFJmoEMnh/R7HmkaUoYp7i+UNHTVIWjnkscZ5QcjSBKUGSZsmPw9u0j3rx+iCRn9EcBQZSQZikl2+DiSpW5mk3B0rB0FWvS4C8WdPbbYwCWGgW8IKbd93jnThPb0Li2UWO3KQbKigWNVVPL1SskGVJA0xQ2J8nU8qzzyMCaJEu0+x5xnFGw1Vyl62k4SzCRP0aS82ngkTX9cz6eKaaY4rNF0db56uVZfn79kP/0823+j7//0ud9SFN8CnAsDeeMImJ34HPYHvGLW036o5Aky0QBD4kgEspZKRlZJojZ7jhElQzWiwYH1sMhT4mMKBHx/tANkNsZtl7mJ+/tM3Qjzi+X88JhvWxRP2H49Li84vOAogDx5AeJx6qAHrTHDMaiuHgyzzmLx13rzwv9UcAvbx2RZvCVizNTAhegSFL+VR/nX1OIXPh4CEG4yfi0eh5hlKJpMnokXDfEHwOZRKNictRxOUnZSVMYjWOCIGHraMiFQYWFRoFKyUSRHua924dDvCCmUbHyglIQJewcDskyWJwpvBBDxYYm6h9TTPEioewYlB2DsR8DGf5ElKFgaaiqyKVlSULV5HwY8aAj9sAoTrEMBT+OuL3dRVVk0dScKMFnWUoYJUJNTpEoO0IFT1VkJEnCD5NcBCJO0olCdIZ5Rkk+jBK2DoekWcZiQwyBFkxtkm8//Duh8PkQrh+x1xwjSbA8V2RjqczGUpkgSri13WW3OcpdgE6uMTvNIT+/fohtqizPOoy9GD9I8ML41D4x9AP+/OfbxHHK+mKJ3/32Go3KQ+GUY+LhUfeh28nx9TzGyXrAcQu3MxCE60rRYCKYJFxE1YffQbPnomsPX/tpKzfLMnDch5E+3TrB4+LBs83jFw2mrj4X+8NZlXpVkVBkmXrJpDPwOZwMXVmmyub+gChOmK3alB0DXVcYtV10TRYDGH5EdjzYXdCRJAkpy1AVmaUZh7JjCFEiW9Tz9ltjojghzeAv39pmc29AvWISRgk7rTHNnocsCZVmU1dAEg4ZR12PzsDHsTVub3XpDHx+8PYukpRRK1l876vLzNdttg8HDMehUMDNMuI0o9XzaFRMFEUMjnh+yMCNUGSJRtlioeGcIloszhTyAS4AdXIvyrIkhloHPrIssTTjUC9bzNWsh5b00sOSvniNPImRhJOOY+v58xvFKWGSEiUpaZIhKTAYBdza6lIvmx978FtTFeZqBeYmKn0n14PnJb+aYopPCifd+2RJolH76ITis3vXk54HW9ceCllJj3+mZFnOlWqjJCVJUypF4xRxU5ZlXrs4k7tqPQlZmhGnKUGU4AaCrAWwNl8SirOqTBiJ4ffDjks0GX6QkJAlCctQyMjoj0NBeDI1ZsoWWQZv325xf2/AynyRhXqBe7t9mj2PjCy/lkGUCseQOOXcUjmPTcI4JUPC1AW5dTAKUBSZ4Vg4rL1/r83Yi7m8VqFStAijhCzL4MNnOB51MlDF99PseewejTB1haWZjz7AEYYxb944YuzHXF6rTgVppngqjut5pYKex+tpmrHbHDH2IsI4wdRVZqu2GI58CkZexH5rRKfv0x8HSEg4BZXBOKRRFsNlWZahyMJBrDvwSRNIYjANCV1VqJdM4iSl7BhUSzLFgi5ihSihM/DI0mwSFwk5DdcNUCSxBsmyTHfoUy9bQhQnBd1QqZRMwijFDxJ6Q5csy9B1BVV72K+slExsS8My1UefyUmtzPUT7u/22D4csjTrcNAec2Ozg2mofO3yLM4Z5f9238uH9JdmnGnc8QXGk/JDWZKQZAkJkJGQJZHLShKkWUZ34nh3d6fLYUeIHmiqKhSn6w5/8N2N/DMWZ4r8j//5Fm/diojiGNdLaEkutqVjaMJds2TryAjy9kF7zM+vHyBJEusLReolE9cNcf0EVYLu0Oe9e20sQyFNEE6ZiiKGKdMM108YuhFr80U0VWZxUu9XNZmrG/VTLqZn721dU1hsOOw2R7xzp0mUpDTKFitzxU8kV5eOix3Z6c8/21uZYornBxklWxdONh8y4BvGqXCdmvQOMxBD2xnYhoIXJHQnufhszTq115BlE45ekrvzHXVdojil7AiR1zvbQkx5rmoTRSLmTtKMgqkydAMGowjLFO5493b79Ech6wtFwjjhg/ttoiRlacYRrlcDUWNUFQkvjHG9GEWRmKnaj8QXZ+tYJ3OCkRuy3x6L9UHOMHU1FyxRFRnH1nHsh9fnuGYZJ0n+euARB56za1OWws8+OMjP6cJKlVcuzEzeKz1VZ1QVORe9fRLOntPT+qJPwyN52YmfdVVGUWTsydqpacqZv32mj5ziC4wvArdN+YKYaaXZw2AlyXgherpnoSjyw4FBSbiqvojwA9F3O85HP86g3TGmQxwvKJZnHVz/4XCCbaq8f6+dT6amaXZqwhPEVP6xdVlvGLDYKOCGMSM3xA+FJa81sQ5dnS+xNOOwUC/w3r0WfpgQ6MnEIlnimy/PMhhFHHVddo7G+FFCOoIfv7fPVy41cP1IJDaT9aJWMikXdAxd4VsvL9Ad+Nx40BXWvYbBa5dmidOMrcMhhqZQL1lsHQxYbDj80e0m/VFApWiy3xrxB9/bQJbEAzDyIjHNn2QMxxGKPKY6aYIN3JDZmsXe0Tg/Z8+P+cHbu2SZsBg7aI9ZmnWYqdjIssTyrMOdnR7v3hF2aAftMZaucGGlyhRTPK9YnStyK+hxb6/PfM1Gln26Q184eixXsSyVd++1MTQZP0tRFKFWFUYxSSoK7kM3EkNbsjQZ9NKpqyZDN2TzYMBha8Tbd9rESYoiS6RZhh/G6KrC8lwRx9ZYnHFQFYl+JaQzEInc2Ivyqe7N/QElW+cn7+/j+jGNssm791qUCzppmrG5N8AyVL56aZaBG3Jjs0McpwxHIQdtl3OLJYIweUSta6ZsEEYJUZJio34khUVnQv487LhoqszawufbZDi3WOLuTv9hUjpV75hiii8d/tY3V/n59UP+7Gdb/O9+98qnTgqb4vPH2Iu4vdPjrRtH3N3toygy41EgCpKyaOorMsSpUHCVEAm4F8YcdgMMVWbghsiyzHzdYuxHhFFCmmaEcUqz73F7uwcI4mfR1mhUHlWlWpop4PoRri/yimOr5c8ab1xb4Efv7RMnKa9dnME2H21Kbh0IZYzeMECRpUcGO59H/PnPt3E9ofbd6nn8V79xQRDMvsQ4t1Tm7k6PJM1YnnVyZfkpHmK+ZnN7u0t3FHB+uULfDdhvuiRDnzgVpGldV2j1Q8IkfeT1GRDGGfd2eiw1HC6sZJiGimZqWIaaCzwA9EYB187VKVhCgfZYOWrghnzl4syUADDFFJ8iLF3h6nqVX9xsIUvw6oWHSnm6prA2X2L7cIgiS7xyocFfv7NPGCfYlkpvEBAY4vnvjwJcP540GVUKlkaz5yFJCpIkFCtB1AVlGTRFoTcMuH6/Tbvnk2WCzHh5vYYfJFiGSmsi2gKwnWSsLZRJJg4XV9dreIFoYq4tFPN1Ik0zbjzoPnT4CuLcDSDLMrYPhvQGItZZmnVwLI2RF1FxDH5x4yh32HjvrlDxi1OhzJmcWOd+9Mt94RCQwa0HXdp997HxTaNsMRiF9EYBtqmyeIJsevWccPA57LjM1i0qjs7tnT4As2Ur36c1VWZ9QXwHsiTxN7+xyi9uHDFwQ+brBS4sf7rMjY2lSr5frswVP9X90jJUlucc9ppjNEV+pKY8xbNjY6nMXmvMbnNE0db5+pVZDtqiFuVYGmGUkmUxB+0Rni+GKvujkOVZBz9IiNOU0TDi0mqFD+53GXkh83U7V5GUZYmNpTI3H3Q5bLvM1SwOOx6b+wMsQ8MPYv7LL3fpjXzcIKGz1cM2NAq2xr3dHvM1i3rZRFGEgMvF5TL7HRddE0SM3iAgjBNaPVHnKxcNhm7E/+ZvXqLiGNzd7SNJgjgdBgljKaKaGszXC7x3r8P20RhVkRh5IX/+823+3vfPo59wdmlUbF7aqHPzQQdDV3nj5fn8vMI4wfUmza/JMnBuscy93T5JmrE6Vzwl5GKbKl+/Msvbt1sossS3Xl7If3fzQRdFkqkWDVo9j2rJYLHq0BsKhX1dUx4hYzwNhqawOl9k50gMpm0sPXxmps/TFF80XF2vc9jxOOyMqZetU/HKh6HsGMzVbZpdTzw3TyD6f/3KLH/1y11GXsS5xXLukAWwMlcULuOyxMWVCre2hELvfL1A8RnEG9I0wwsSCobGXnNMwVJFLHLzEGUSA3QHPmGUEEZp3oAvF3TmahaLs0VmKiZv32nhBTGWbhCGYvi1M/BxLI399pjDzhg/TNhpjpARcdHIFa5ISBBN4putgwHnFsvEScrNB52J0F0q8jJJDAN2Rz73d3s0+z5IcNBxObdQYmm2iKadIDw8BV+/MsfQjRi6IUszDhuLZbqDgNvbXcJIEOhvbnVPXfun4Yfv7rM76Tcfdsb87e9uvHDqq1N8Nmh2T9fzjsXntg+HHHZc9lsjhm7E6nyR/ijglfONJ/bHjp+TkRvy0w8OJ7XSjFrRZK5u0+p7rC2UqJUM9luHKIos3ASSFC+IKBYsBm7IYWdM2TE4v1zhg/sdigWdkq2zdTigN4RqyaQ3CkGCetFC0zSGEz5C2VIwNIUkSWn2XC6tVRn50cQBTubyWpkfv3dIlKSUZZmZiojv5Im4nqj3Smjq6drgca1s62CAH8UMmqLPetgeI8vCebQ/CviD753PXzPyIu7u9iET1zbLMlbnp0rZX1Q8KT/cWCqTZRlRlFIpGZO8XUJRJPrDANcPuX5fuAP6YUqSpUiSuA8X6qdz6bu7PWxdJctSeoMwF34NYg9b1yiYAa9dnKE9CHiwN+Cv39tnOA6RZYntgyHXNuqM3Ag/Smj1XOJYEK9/8v4Ba/MlirbOSArFfpFlKJNYXpElXr8yx8iLSDNxfvWyhR/EQtCpoDP/mD7AbnPE1sGQzf0BWZbhzsVEccql1V+d13O2HnAy3p9iiucNT6vHPQ5vfnAg9g9E71BXJaIoJc0yymWdneZYiKpIEgfNMXcnNbPeMECWhdOUHyZIQMEWfKA4yTB1wTU8diMlAz9KGE8c7WYrJsNxhOtHJBNu4HGuf9Aek2ZCGCKd1CnX5kuM/QhJEsMLhq7QGwQYkoJtKmf6hfITxUiiOOXGg27OWXIsnY2lMg8mjlx/59c36PQDRl4ohKHrBe7u9onilNWZEpfXarx18wiAjeVK7sIBMFOxGIyDXH39qDvmzuR6HbuaHAtZqMrnt66cWyxxe7tHFKfM14Uw78PflXn1QoP377cxDZU/+LVzBFFKfxTgWPqpmuoUU4AQUnyeuHbPgmrh0XzjRXPhAPDC00N7B+3B53Qkz47/5ncu8n/7t+8Rpym2ofJ/+rsvnthtfxRwf+/hXinBM62dU5boCwpNVbi28VBprjvwOTlQ6/rxI685Vto7xlHPY65qM1O22G+PieJUqPaREkYxugZ7rTG//tUVdg4HxFGC45gsNgqoioJpZHzj6hw3H3RAkjANhSyFd+62OL9YQVNkshUx6bU4UyBNM146V6NRsRm6Yd5ICcKIrcMhb7y8wNeuzHH9fockTbm70yeIk1xpMIoTkkRm+3DIKxcazE4aSgVLo2Rr6JpKqWDkdm1xnDIaR6fOudnz8utUL1sUCzp/+OvnT/3N/UnAml/b4yDzYyLLMsZehCxLL+S02xSfPVxfDDycVVLJsiy367YMFT+IiZKUwsS1wjY1NpZK9EbCam+u7iBJ8I2XROPz5maXVy80cP0ymiKz2x5j6+pE5SamXDBoDzxMXQxxlB2Dc4tFQLx3GCb0XfEsRXECioKhK7y0XmN5UkhplC0e7PdZnSvlSptJmvHm9UP8UKw9IzfEMbV8LQrjlO7Ax9RkbFOnVDDQVZksS5mv2QRBwmAc8OBgCFlGFCe4J9axkSsKQ0hy7koCgoj2OBLHWazMFT9xhajxhKRZ+JgNJMfWee3S0xXCpphiii82vnltnmrRoDsM+Ml7B/zaa4uf9yFN8SnDD2PSJKMz8IjjFEWSKBd0nILG2IsJo5golpElSai9TBS0FFm42pVLBktzRTRFZhxErMw6uF6ELIFT0Bm5EfFEnVJTlUf2x7EXkSGKLS+dqz/5QD/CebT7PtWi/sjgxcfB8lyRf/CUfflsfnM2t3keEcdpPsABEIQJYZxi6l/uIY5SQbgPTfFkKIpMxTGQEERu29KYLRvstVx++PauGPryQjoDF5kMWYI0O/seICsybiAamEuzVl5DuLHZefiHmXiOC5Z26rkKJurXZcd4hFxwEmmaMfYjNEWeDiJPMcVTcHLfPUaSplzbmOHaxsNc8KRKT6NsMHJDDF3B9WNeOV/H9YU6tBfEdIfBRKAhZXGmQJxkRHGKY2usL5ZQFZlOX5AQ4zQlDFM0VUazRLPR9ZNcCReEQt7MRM06idPcpSdKhPOuqL0pmIZKYzL0WS9bgmgYCOeP44YxiL260/do9kXeb+oqCw2xTiiSnBOQbm51eWcipgJCvX994WEjszcKcicrN4xzN1+Amw/6XF57tDEtyxIXViqn/s31I9JMfAff/coS7b5Pyda5vtmhMnl/U1fxw5gwEgMxs1X7lML3t19RaPZ9VmcKSJLE0A3zWs1JfBJr42e9Xy42HBYb08bsJw1Zlvn1ry6f+reyY9Du+ycccmIeTIYuhDp8xl5rRBQnNMoWuqZQKxnUyhYZYOlqvk70huIZv7BSQZIlRm7IQXtEEKasLWiM/QhvEgs4poqUZdiWioSEaaiUiyZfuTTLN16aJ4pTrt9vc36pQpZl/Pz6AWEQC/feiZMvmYjLXT+i6uiszRXRVNg+cpk7oXyZZQiRlnEo4pRUOPwcdV0aVTtXvAT42uXZR9yswyihZBuUbEEIluSH1+6rl2cZedEpF6CBGzJ2Q84vV7m6fjq3SdJMuIUAl9dqXF4Tz9dgLJQ0gyih1fUeO8Rxct04i/l64dQaehLT52mKLxJUVeZvfnP1Y73G9eOJUr3J2nyJtQ8hFVdLJr//a+dwgxhdU04p1BuawssTEpqhK1xZe/iMj/2YsS8IZmVHR5kIohz3DR7Xl4uSFFmSRKykycRJiq7JHLRd5mq2cDlLhRN5tWhQnbgCXFqrcGWtjiLDO3daVIoWrb6XE6xVBTKE4rmmSCRpiixB0dJIMzGEf26xzPe+unyqB9nqib6MoSk0ux5BGFMvm+iqzEzNxrE0ojjlvzR3BJU2Y+KylHFxEuukj871PwLH1vnb390QpNokQ5ZFrtg44UQ0dKOnvMNpDEZh/t9ZJuK36RDHi4kgSgijBNvUHnGHOIln7X25wen7yvUjwDrVJwQIoxRTF0r9T4qfwyghSTJcPyZNM6Forci4fsR8rUDB0ri2UWe3ORKic6pMydZp9lz8IMHUFSqOgWmoFAs6YZTw9atzXFmrYpsa/8Of3aJeEs/EcBwK4ThTo9lzSZKUuapNihAkKdg61iSeeePlBYajgIKls3UwYG2hJIZfHYP+MMT1I/qjkLmaTZJmpCk82B9yeV1DV2Xu7/UYjENeWi/zpwUNQ5fpDQMhphcl6KrIE49jl2N4fnzKicf9FWqlx/3pgqU9k2rsFJ8+zuaHrZ5LGKU4tj6J5yd7oBeRJAlZBu/da7O53yPNMtI0wzZUUjJmKjYL9QKGJu7hg/aIkRsxHAccdT3magVGbkSWQpyKfbNaMpip2szVCrR6LgM3JI5TkiQlSST6YyEa++tfXeLcUpl/82e3aPY8QNTEC5bGVy6J469NBFmPUXZ0Lq5WH+FJXF47Lep4EtnEDaA/9vHDGE2RCaMkF6f5JHC2HvBxEIYx7clQqKELAcovq7DTaNKzmvKlPj3ESUocp/hBLIZ7P2QZ741C4iQjSRM0VUGWZc4vlUnSlCwDTZWwTVF3COLTgebIjU7xa1w/yoULoiRltzliYZInD8YhtaJBxTFQZAnXC0+JHPQHAXGa0h0GzNct4vihw66IVyWWZh1kRG1yfbaEocoUbZ04yTBO3FIi3jg9xHG8phy7+R0jiFL+wW9dOvW3xy6bx7i8WiVKUszJIPqxiKypq0RRgh8lec3v3GIZ14+xDIW//MXuqffpDoNTbqRn15UwTmn3XGxT+1RjadvUnupW+HvfOcfvfefcp/b5U3zxsDTjUCkaL2xfcL/jCQfOyRqnqzKdnkftcxK6/KTw5o0m//XvfN5H8fGwNl/lv/37r9EfBcxUbKQX0CbluHYehAm6qjxzXvbiPUlTPBaOraOpMtFkgamXzUf+plYyRbKUiWbmuYUim/sD3IlVqSTB//LD++y3xyJYk+D8UpH3N3uYqsLQC1mbL3JjU+GljTpBmOAHMQVTwwt80iQliDIGo4g//dkWK7MO24ciSLu13cUxNbYOhlxZr7I8W2TkRgzGAe/ebVMrGbx3r83ffH0FQ1cIQvKmaZqmIlFE2DClScb20ZBG2UJTZSxdZXN/iGNrHHVFofXcYpmirTNXsxlMrN+EMlmJB/v9XDHwcco/K3NF7u4J5QpJ4plVK+7s9OgOxADI8ty0cTPF07HXHOVOObWyyYXlCiCKEDe3unlRvGgLxRcyYdd3ea1Kd+hzZ6dHu+eTZhnLc0VmThTf6xWD+3sDXF8kbsKFxqXV95EykdREsbD5tU2VNBWNCEVWuLc34Le/ucryrMPW/gBNlfGCCFmR2DwYoKgy3YHHX/x8izSDatHgf//717B00Wzxwzifgi87OrIsUSuZtAc+IzfC1IWdcbPnMxiFPNjv86N3D9hYLrM862DpKoamkJKh6yr1CbHizk6PTl8UeE6SJXRdye1WP2ts7g84miicztXtD21OTTHFFFOchKqIpvi/+fPb/NGPNqdDHF8C2IbKXmtEGKccdF2CMCKKMqSuaG6k2elaqyyLWLhgy5PBDJkwTgjCBENXGLohUZzhhTFemFAvGRx2XWGBbKrMnVCh2ToYcDCxI5+pWs+sDjtwQ/74R5sEYYKqyvzW6ys5+fOTRrVkctAei4FsCSrF558coKoy8/UCB23heNCoWKcIa1NM8STsNkccdT32miN2j4a0+j79YcB4ErdLZCSpIOs8yRw9S8FUFWolk4KtnaoR1Epm3vxXFTknLdZKZk74bvU9ZElCVWWurtce22hL04ybD7rCbl2CcwvlJypeTTHFlxlP2nc1VTlFJK6WjFOEmf/+z26zfSjy6fmGzVHHI00zdE1m7Md5neDicomhG5JloOsyMhJ+mIAkCM+bB4M8HliafVibOr9cpjmJO4q2TrX4cJ1oVE3u7gjlplJBZzT2GYwCZEWiN/Lp9EW9a2nWoVTQSZIMVZHQNZkwmij/+RH/r//w/kSNT2W2anJsqrE89/A4VmcKFGyN8YQ4ePHE8IWhK6caqefmi9zY6uW/+/a1jyaGsH04zB2IDF3h5laXcBK/FEyV/uRaztVs3r/XJkkyNFXm6rlavnff2e7y7/7LXZIkwzZVvvPKQn4+q/PFvNEsFBA7jFzhUryxWM6HXqaYYr81ZvtwSJykdPo+pqnyy1tNyDI2DwbM1woEYUK1ZHDQHuPYOsWCjqaVOeq4wk3b0XnlfIM7211+/P4BZODYGmMv4oP7HaIkpV4yKDtCVVpVJUauULXVNQVdU8RgWSaIt0Vb4/r9DnGS0u77FG2NVs9HVWWOev5EzRdMXUaRpQkBMeV//tED9ppDRl5EtWgShAmVkkG9bGLqKps3m5DBwI2oVyz8MGb7cMR+2+XCciUfznocTF3FNtV8kLt24m/v7/XztWuhIYSjjp23i7bO73x77VTMrcgSlaJBbyLUVHL0iVpmSLsv3IwlSQx7nBz+OrluNCrWVH13iik+Itp9jz/96RZxnKLrCr/zxtqHEpLiJOWD+238QPQpL61WH/uaeslkxxc9lDTLeP9ei52jMbIMF5YqfOXyDA/2hzkxdHnWeUT9UFdlHFsjjJNcHO+n7x8yW7PxgpiVWQfb0lieK+IFPYIowTQUOoOAt24esdcaYWgKXiAUiL0wptn36I8ChqOQeEIQq5QNGiWLwShg6EVEUYqmyRQLOrWiSTIZ2Dtoj7l+v81ea4yiyLR6Hl4Q41gabhDz+kvzmFnGyozD7Z0+aZZRsHTW5h/2NmuP6Qc/Dr+4ecQH99qAiOG+/coClqE8tV/6JKzMF/P3sg11mge+oOgNhRtLlok+20vnavkw1Ek82B/k7n5zNZu1hY/e+6qVTI46rnAZlsj3/+O6hGNrxLFQXdU18Xw+CaauYpkqpVjH0FUsSQyhHMfax/FCxTHYb40p2jr9UcBs1ebduy2CUKXZ91ibL/LLW03hwFHQWaxb3N3pM3RD9ltjRuOQYDIIn6bCi0AmY/tohCJLbB+O+fqVWS6tVvP4xjIUWv2BEN+ThPvAUdelVND49391D02Vub83QFNkDnsu5xfL3NvrI2UZP3hnH4D5uhjc2uz5BGFK0VapFU3iRIhwLs+eXs9Kjo6qiGG0k+f/cbHXGrFzKNbWasng4sqv7mIwxaeLn31wwPt32zT7Ho2yyasXZ7i6XuOg7bJ9NGTncMRhd8xwHDIYBwzHEbIsk5GSJaKmv9caMRgH/OTdff7ylztkmRCNDcKY3qRGoSiQISHLMlGaoSgS93f7zNXtST88Q1FkRl7EwA34z7/YplzQubBSxdCVnDzt2FrupKFrMvONAoNxmN+71ZJ5midRMh8RZTiL29s9tg6HXL/fIYoTCpbO+mLxI++Jnyb8MOaPfrTJvd0eRx2P1fkSl1ar/Obry1+6QY57u31avYe52yctrjmFgKbKDMZBXns89yG5a7Vk8M7dZl4r7I2C3G2jZEsM3Qh/Eh/aMwqKIuXuuatzJVqDh5zDlbki7QlnxzE1VuaKeb6+Ol9k+2jEYCRUyS+vVXGDWLyXBAkZP3h7DzK4+UDm733/PP6kplhxdNIsZftgEn9Ubf74Z1sMXCEU8RtfX8ZZKOfxxdk9cLc5yl3jKiUDy1TzIa/6h+yXrZ7HvQlf0LGFOMbxey3PFri908trfiuzDgdtlygWDn5zNSvvB6qqzNJTlNjDMOY//vgBw3GIJMF3Xl2cOnlO8ULgbO37/FKZevnFygc3lmr5AAcIx54XfYAD4H/1xovHL+qPff70p1skaYZlqFxYrXzeh/SxUbBUtg9HhFGCLEuszj9bvDNlkHxBoKky1zbq9IYBhq48tsBZdgxeOldn7EUUbQ3b1Pjdb61zd6dLydGwdI3//k9vIklCdTNJMzYPRIARZ4Io5vkJTk2nNwooWhqaJvN73znHnZ0u3X5AvWyQImFqKlEs7A41BRhkZBMLjNvbPV6/Oo9lqPz1O3vUigaKLBOGCZsHQ14536Dd9xiOAzIQBdKej6xKVAqiMLNgqNQrFv/N79bZ3BsQRAmlgk6WZXh+zLnFMrWyiSJLvLRew/VjigUdy1D5ve+ss7k/pGBqjy00Lc8V+Z031mj2POZq9jNtNn4Q5wMcIBp00yGOKZ6GvUlTEKDT9wnmEgxNOUXMALix2c1JF0M3ZOxHHLRdJCSWZhyGbshc1ebc4sN7uzMIWJktMnBDdFWi1fOYq9tomsxgFFAwNbqjAEUSTU0xFSijyAqKItMdBfzOt9Y5v1jmnTtN0ixjMHG5aZSEdbg6Kex2hwG3HrR57eLshFyiMD+xY3VsnUurFVbnHDYPhuw1R8zXCoy8kB+/d8DCjM1e0yXyIjwvpjcMeO2rM6zMF5EAQ1eplUyCKMkHOEA0aL//tWWGbsjqXPFXUgF/ViRJmg9wABy2XVZmi8IpZIopppjiI+J3vrXOv/1Pt/nl7SY7R0OWZ6cFzS8y3CBmrlZg52jEyqzDne0emvqQmC3LgoStK8CESF0pmdiGxve/uoSmKuy3RliGSr1i43ohWSqIDKoio2syF1eqeGHCbMViIj5LmmYcnNizml2Plblivpd/HNzb6RGE4o3jOOXmg+6nNsThTNT0Rm5EwdI+tvLf54W/8bVl7u31yVJBlp1iio+C/daYimMIIpAXIWUZbhATx6JhGkcitzZ0mSBMTw1yyJJoiC7POHz/q0t89co8laJxqkYwW7Mn4gkJ5aKBPlG1P79Uplo02Dka5ergSZLR7HmszT/6zI28SAxwAGTCInxK3pliitPIsqfvu5dWq7T7PrJ8uuF40B7lAxwA799tc3mtRhyneEGI60UULBVZkjjoeXx3tUYUpUiS+MySI6EpMkMvZLHhECcpjqWxsSganMe1w3u7fYJI1NHUE6473311kbJtEKcZ840CZccgilJ0VeL9e518mPL9e22+emkGTVWIk4y5ioVtaMgy/NnPtognTV4/jJmpWizNFjE09RQZ2rJ0/g+/+xLv3m3i2BqvXZxl+3B4Isd/WL7+v/7D7/D//qMP6A18/vB7F5ipfzQC2XEDFeC9uy3iJEORJcIwIQwTFmfEAIbrx8QTp+IoFoT244brz28c5U3r4Tjk7TtNXp64qOy3xvkQx9ANRRMLIIP99ng6xDFFjuOhAFWRqZZM2n2PiqOLoYf9AUEUUyoYDEZC0VwCFusFDtoey7NFhhN1+eVZhz/+8YN8mrPZFe5+uiZjGWJQI0kzFmYcXr86S8HQ8KNkorgrnnVdlamWTSxTy2uP9bI5GRzXWDFKpBOS11zNwlBVLqxXubZe5wdvC3XJNANFVtAUodRp6QqXVqrc3e2xPOvQqBgMxhHlgkbBEir5WQYHbfepQxyyLHF1vUZ74KPIUl6fj5M0J4SAeL46/YfO20M3ZOdwyIUz5MMLy5Wc1F0rmciyhKYq/Oz9A1bni+iqQmcgVHxNXSXLMvZPrButnsfKnIOmKkwxxRRPx60H3dyZKwwTbm93T7loPw7dQZATxbIMDjvuY3ucizMOlqkSRSkDN+T9u22yLCNJ4Kjnsdcan1L23m+PHxnikCSJy2s17u/1uLxWoz/yGboRtqHRqJgULJ2XNmroqsJ8vcBgHJAkGUM3Yr81FoOrpsxCvYAbCNeMmw86jMYRpqny/2fvP2MszdI7T+z3enO9CW/TZ2WW7aq27G6STXJohjOcoVYzswtpZlaL2RW0WEEfpJUELLTYhQAB+iAMsNJitBCgwQrQEjtG5Aw5HJJDsrtJti1flZU+IjPsjevt640+nBs3IyJNZZbpyqy6f6DRFRn33rjunPc8z/M3vh8jyZA3dco5A1kWIjE1IxNHKbXmiOfPVFAkma1an6ylMxgFtPs+izM2aSqIC2vzeVJS1udzrC3k+cpzs/z0Wp3+0Oel87OcXiw8ch78IFy/ey+Rcbc+JIqSybzUNtVjSWgfhi9dmKWcN3C8iPWF3NSw4hlFrT2aXENdP6I79O+bicdJOhFwgFify3O5R6Z2HEXO1rl8usLAucdNgKN9iXvn+VLeeGR/Uh7P/Ft9j/WFAr2Rj6pIFLMmuqZMapSMpXHpVJmhE/LcqTJbtQH5rMFufYAiC6KrbaqYmkLG1Lh2t0OlYFPJmyRJSnfgk7E1hk5InMSYmkhKDqIUSZbI2Rr7rRF/+xfOsrHbw/NFykApF6MqMi9fmOH2To8wSvDDiNCNcP2IYk5nvzkiY4qEncEoECTasY1PrTXitYuzFDI6UZIyV7a5dLrCwAkwVOU+QamhKVw+U6H3hHvBSewfmU+L/Th6Jh2Vv0i4sdVh5ItEmnrHZeSG4ho4NoFxvJCDloOuytiGRtbWWZ3LE4YRza5H1hL/1ux57DWGk32g0XWpFEyWZrJEccyF1RKmoTAYhORyBuW8yUHbwdAU1hbyYr+QoN4ajWuZhChO2akP+dbLS5xezJOkcGG9jCqLpIxS3kBTFS6dLtMfBpiGSj6j8/rVg8nrO3oufxBcX3AI4jilWjCJEmFwuVDNPhUigc29HkMnpNH1SFIhcK21dDqD+/fYzzPCKJ4IOEDscU/D5/N5RBQnZGydubGgQfuQWV8xa/DC6eokle33//I2eVsjhXHCRYQsqUiyhKqqXD5dObZeZ10bxw3Jjq/r5YJHGCaU8gaXT1eEAAKoFiyubLQ46IwwdIX1eWHiutccUSmY/OPfeUuYuaagyNBzAn7x1VX8MGJpJssHG21kScwodg56xGkqkkll2Njr8xs/d/q+88Uhjl7bun2fy2cET1JV5A8VPe63RpNeS38YkKbphO+UptAbBSiSBClcu9shM/7bh0lCv/jaCr2hz9JM9pHX5p2GENsdPu61O52piGOKZwIne99iTT9b17fN3daxn1Og3h4xW/5sDKM/KiSOG/29davPd772WT2bj4ab2z0yljAbVxWZ61udhyYfP61wvIjFagbHi8Tc/pCU84SYVmCfI3SHPo2ui67J2KaGpt5/OMta2rH4b9cPAYk0lciYGoahEo8j7cI4ISGGVDjmOQlkbI0gStg5GGLpCqvzOZI0Zb85EqrZJGW2YtMb+YRxRJLAfMUiiBIy436OoSqEkRi4eH5EveuiyELR6/gRQyfgq5fmMAyNg9YIz4+plmzyGY2rd4Sab66S4YWzM/hhjKaKaOJDNX+pYFDM6dze6RJGCXNlm9nyPTKZbepcOlXhUZgp2R+LgKYo8nhwLn5+0GcxxRRHoanyhAQpSUxSLDZ3hZNEOW+StTQM48iwcFyESQinlChKKGQN5sr2xL1z6IbsNYYcdBxURQgzTEOlWrDE9zMVaz2OU3RTYXEmy35TOP9GcYCuKRRsjZmiNSZ5mYRhjOvFYnDRchi6AUGYoGsKpq6QzxiT16Gp8uRnRZEoZA2KOZNcxkCWJNI0xQ8T4iTl5paIDDZ0hf7IZn7GppQ3Oen5osjSsdhDTZWfqOh3vJCtgwFJkj6yeArCmDv7fcIoYb7yaEGXLEvHXAgURSKMYu7WBo91/ymmmGIKEE5mX7k0z4+v1PiXf36L//XffeWzfkpTfIrQVIW95pBm1yGKhSNjGEGajp0fUlF4BwmQpkSJIBnmbeGyZuhCbFlrOzQ6Lllbo5AzJo76jh8xUxJOko2uy+ZeD0NTyFgaqnzPpU2WJWTpwwevaZqyfTCg1fPoOwGVvEkQHI9SNsfnlL3GkHbfI2NprM7nH3uw+2GwzfubsU87VFXm/OrUwW6KJ4MqS+y0RBNfliQkWboXzTOuMZOUYwIOVRFna1kCQ1M5s1xktprh9asH9IYeZ1dKfOOFRfww5icf1CZD/pW5HMuzOYo5gzQVkei9oc/ACakWTCRJemg9e+jy1Rn4qIo8SRN8XAydgO2x2+PqfO6ZEWdNMcXjYKc+oDvwydo6iiQRjxtEJ6+7sixNxE9BEPP7P9ig2XGZLZvE42RaaUw2NjTxv5QUVQ0mhAZFlugNfcIomdTkh4mV4Vi8cYiRGzLyIgxdnAmOEoGOXr9JZSpF0TdQZRlLV8iaGkmSYOj3+hKGphy7zt/a6fLG1YOx873O0A1Ev0FV0FSFJIEgiu8jBuWzOj/30tLk54fV+EEY89VLC4RRQsbWqLVGtHoepq6wvpA/5hy82xjSGb8e+chnoGsynYFLEMZoqoxtqtwcp3tUTwjRjg6+M0fEJEjSsTPJoRgO7u8BTnuCUxyFpopz+NANuX63zcZOj5EXslDNoOuiXxclwtFW1xQsXbhidvs+SZIQhONEvlCs90PIMuQyGgcdxkm8EuWCSdbWOGi6jPyIvK2TsTTSJMXQFfJZQS7eawzpjwJmSzaqIjNXsUkl6A99chmdSsHE0FWiOOYn7+3z7ti5GkBTFJw4ZOCEtHrj9TbesyxDxTJUSjmLharNfvMeAVTTPnxdDJyQRsdFUcTcwjSEcO1oT1BV5GMJvcB9ZC8viLi73yeKUxZnMhPDlXxGp1qyjvVjD92s7+z32WsMx89fiD6+aK65U0zxUXGS+GsZH37Gf5Jr52FyWJQkKMp4BuIEhFFMo2yRpulkNuJ6EVc2WmiqzPpCfnK9VmRB+t6t79Lui+Shw3nJwAm4s9+nkjdp9z0kJDKWOHPc2umw1xxhjUlopaJJEIgZqphRgqop6Kro2bhBzGAYMBwnq4s5zojN3R7zFTGX8NrO5PxiaCrmuNeTsTRcP6I/TgZYX8jz618/dey9ODr3PIrdxpB3bjaQJYkvX5qbzCUMVcGJhQOxokjoqoyuqx86L30YnkT0McXThThJubvfZ2u/T5ymVPLiO/IgAYUscd/s60nbfA/r5z2O6GDohmzXBozcEEmGjKmxOp/DLmks8XDzxCsbLWotQShbHCd3JXHC1sFA8BG8EEWR8YIY29LHr00QO3O2ysiNiOIEXVUwDUUkc0QJsiL4DIDYKwom795ucmWzhakr/NxLi6zN59EUmTev19lvDLi53SNJUvJZQYJvdBzagvuJbWhCSJ4kDEchW7Uez52aYaZkI8sSSzOPFswYmsJs2WavIUwAPkovVlNl4vjIfPojGP1M8bOFfqQOlyUJGbh6p8Wt7S4jNxKi7XH9G0YJaZiODQoyqOPavDf0afeEEHzoBOJ8LUHG0HDDCNePmStnqRRMfvJBjUFjiDz+3iZpyp39PgMnYH0hz5nlAvWuS5wEOL5w5W73Pb76/DylnEkYiXl7ECaTWuhwdp4/rCtO8CQeJehSFWn8XZUwdBU1SXDckP5QpOgY2mcrvD6sT1RFrK1D3pBlfL4E4Z4fcafWJ45Tlmfv51vIsnxf7fZ5wNAJ2DoYICE9Nf1sWZbRFHnyGWiqzB/+cIN3bjTJ2Qb//q9coFy8J1xQVfmY2Yiuq+M5Q4qsQJrIhFGEJDHhCprle2f8o5xDxwt442odL4g4v1qa/A+E4MqPYkghjsT3oJQ3J4YOGVNFUWQOV0bO1gijWPQOQ5Gee/iaCjlhOCGr0vi++iPnhZoi4yfx+P2RcL2IRsdFVSRsQ+X6VoftgwH5jM5Xnptjv+0wckOKOWGmsdsYEsUJxaxOxtIn398oTjj6TbZ0lZs7HTp9n4yl8YvlZZZmso9M4Jjc98SeYOgyd2t9BqOAXEZndS53LLF5iimeFpys1/VnsPedse4Xcz1rAo4H4aSJxbMAy1AEZzQWnNOs9exJGTRVnqRfH/78UfDsvfIpHoiRG3Jnrz/+b5Dof2jMoOdH3N4VMWD5jE5n6PPXv7HO997aYeiEzFdtZosW+y0Hy1BZmlFYX8hx/W6XQkZHkmDoRmy8t8/Ii5AlcZgxDRlDkzF1lVbPx/UT1uZy4pCTM/jq5Xnu1vq0+x66rhCGMU4UM/QiksRiqzYQm3yakiQpxbFbjeNHqIpMOI52r7VG9MfK1LX5vEgXKNh87YUFNvf6k4j0jb0etqn+TAlfmioILDv1IbIsHUtFmGKKB+HscpE7+32SJGV5LisUhnc7uH5MMavT7DnMFCv83AuL7DVHhHHMfCUjhiKSUHbHaUqSphye5dM05cbdDiAOTr2RTzGb49WLM7T7PpqmUMzpbOyKRmMYCXLHC2erfO/N3bEzpWhaNrou+80R+YxwigmiGF0TEanVvEGt4xInCSuzBWbHAihJkji/WuLufp8UsU4PCw3RSMzxwWaLMIoJoxgvjEnTlChKUGWJhYeoK1VF5sxygZ0Dsb7WnyC6GQSp5NDZ6+Z2l1fOzzywKbmx15s4Ed7e7ZGxtIe6fkiSxLmVEndrfSRgbSHP5n7/+P3HA+cppphiikfh3/vOOX58pcafv7HNf/CrF6euvZ9jjNyAZtclZ+sEYUKlYDJyIxxPOLukyERRTDoWc6QI0qOuiqSug84IVVboDn3SBCRF4vxKAT8QTv3feW2Z3ijgbq1PztaJ45QbWx1euTDLudXi5Pq8Ovd4yVH1jkut5bBTH+B4EZ4fUcwarC3kaHQ9SjmDF8/N0hl4k+hzx4tQZInV+elZeIopngT5rIG70yVjaVxYL9PquuP62mXohpTzFo2uQxSnyIzF07JElIhBZj6rEyUJe/Uht3dFn2DoNsjZIlVztz6k3nGIY0Fwcv2Il8/P0uy6E0e9XhLgBTErcznmH9K8PHR5SdPD5M30gbd7ENI05cZWdyIou77V4UsXZj/eGzfFFE8JWj2XvYZwfHO8iGLeIAjiD73ufvetnYmYoN33sHSFIExQZZlXn5vB0FW6w4ALayW+lMLr1w4wdZWLa0UOWi5JkqKpQpw1dIUpw3OnyuzWhwRRTNbSqY8d7EduiCJLE4e3Tv/49bvd94iTlDSFrK0yV7YZOCFZy+Q3vpHjzet1khR+/kvLwkXWCdBUhf/fd28yXtbU2w6zpQx9x6ecN4gT8XdB1MiXTz85YfBonf7e7SaqLBrkI1eQsA77A+2+x+6R11PIGURRQpKmvHR2hh+8t08vTrANBS+I8f0YJEH2rBYthm5IIWscSxf65ddWGLkRzb7LqcUCX7s8z25DJBcddcqzTY31hTy19ghdVaYuelMcw5nlAje2utzZaInhvBPghTH7zRFfujg7TtoOkOWUIEwZugFJCstzWd6/3WKmaDFTtNjY6/GV5xf44bt7uH7ES8szqLJMreXgSBIzRZtq3uT2TpckTdFkiYEbUglj1hfyNHsu9Y5DKWdQKYjvfGfgcelUheVZQUTZbYi+28iLiOOEd2418XyRht3uu5xayuOHEV4Qk89o6JrMQcfl1GLM8myWMIpxvIhy3hwnECnUOw6mrrD2IbHyYZRwa6c7Ifzc2uny/JkqsixxbqU4Js3A+kIeWZYJo136TsiphTzLJ0Rgt3d6k73n1naXl8fpQQDnVops7o37sbOiH7u516Pd8yjnTA7G79G5ldInJkyfYorPO144U2XgBDR7HvNlm+fWP9zUoJgzWJzJ0Op5WIb6WIZN8+UMF9dLvHOzydAVQrQkYZzgJRHFwgH/cP1vpj0urJUn97+y0SSMY2RZnE9MQ2HoBsyUbLoDnysbLVbGCbmOF3LQcRg6IY4X4Ycx240BqZSSz+jEKcxXM4ycEEWRKBctVFlCVWRq7RGSJPo5rhdi6gr7TQdVUViey5KkKa4fsTBjE8cpMyULGYkgipkpWUhItHresXPOoxBECd9/a2dCuP/eW7v89i+cBeBbryzx4ys14jjlpfNV9Gl6xhcWu/XBpCdZazuEUcypxcIDRRVHZ19wfM73aeNwxhmEMRu7PSQZziwVubnd5aVzMw+9342tDtfHs9HeMMDQFMoFk3bfJTsWtPpBjCpLFHMGl06VaXY81hfzhGGCH0TcqQ3IRjGmoWKoIkms3nEI4pQkSViYydId+By0HVpdFz+IieOEetvhufXKZG5b73oMnRDbVBk6AdW8STEnEkeKOYOff2WJ3/+rTTb3eizPZigXM9za6TJbsTm3Unys88fJWk5Vnsz47uzy8fPQVIT+9OPbryzzkyv7GJrCylyWoRfR7nk4XsTIDVBkg7XFPH6QMBh59B1xPXT9aJw6KQwN1hcLbB/06Q49oiTlSxdmcLyYTl04yN/a7vLerZAU6I8CVFni4qky9Y5Ls+tSzBq0uh66pvDi2RmubrZw/ZiFGSGcOjSwuLPfp9MXvJ3rd9vMFC0MXT02O3/Qufxh0FSFM8tFNFVmVx7RHbhkLI04Sdnc7XFxvfzQ+/4ssL5QGCdQiKSU1bkcL1+YwTb1z/R5fdK4udPF9YQ49Oa4zjr6uSlHajdZklh7Qj7H04intZ998r0Owog/f12kZ7b7Pr/z767zv/r3Xprcfm0+R5KIM+hMyeIbL8zz/bf2iJOEcytFXr9aww1SQP5Qjt0PW8xFJgABAABJREFU3t2n1hKGDT/5oMZM0ZqINIQGRHCY5AfMDv7R336ef/w/vE1v6HFmscDl0zP0xj2/zb2Qtfk8B20HWZb4la+uk6YS7200yNs6/5PvnHnk8zq7co97NVex2dzrTQyYf/j+/qRn2B349IfBRBzteBFBGE3mHSkSZ1eKk1Sytfk8nh9Nen5xHNPp+/iBSEdqdr3HFjovVLO8cLbK7d0eWUuk4h2M30vHE2lEcw8RbU8xxWeJk73v9Wew922qHy0p4WlDMavQGd57LS+f/+yvSU+KS2tlYfjtiH7M6cXiZ/2UnhiVgsXIDekMfDKm9lhCvgdh2qH5nCA4EsWSpCnNnku1aE2iQ09i6ATc3u3SH/rkMwYZU6NSMHnx7Aw/99IS1++2qbUcBqOAVy7O8cKZGWZKFs2uQ5renTyOrit0Bh7K2Ikqa2tUSzblPDh+SByL+NPn1iukKTy3XqY39NnY7ZKzdJJUHE6CMKLV90mSw+cXks2I1AEDobTqDoQr2WHB1x16yJL4u/OVDOdXS5OibO9IPJofxBy0HRZnshiaQhQn9IY+uqZMnIon74sb4gcitv7jNimOqoinmOLDkLG0+wgMh+s6nzHIZwzOLBewTY2hF+J6IcWxO0WawvLsvYacH8bYpsZ+c8RWrY+mSsxXMsxXMpxbKVLIGVw6XSVN4b2bTTJHmgYvnK1yZ6/HmbGLbhjF7HdcVhZEEa6rCguVDOaYTHLQHtF0Es4tl5gt2+RsnXrH4ZQlDmpZ694FKmdrOJ5oEsXxoeBEwjJVJEmimDWILR1NlVmeyxDHKb2hP1a5G8eEFqWcOXHdehyEUUJ/5GNo4nkfIklSwjh5oIjj0PFDvMmMXU0f/PjCNSTm4lp5sncc3ZdJxQDF/GhpxlNMMcUXCBfXyzx/psL7t1v8y+/e4j/+Wy981k9pik8JIzckZ+vkbJ1q0aI3DLh0qsJOo88Hm20kCXbqQ+I4JY5TEfObNZAVmThJ8IME1RDC6SRJkEjpOyHffGkJ29Ao5gxmywmDkSAs+EHIXtNncSbDXDnD82eqT/R8D69rhw3qMEqQJImXz88eO1N3woQwSnD98L7r7hRTfFGw3xwyckOW53IPFQE/CGma0h34jNzwmNPSwqsZVuZy3Nhq86//YmMi6orjBEWW8MOEmaKJG8RoisxiNcNMwcL1YxHbOh469Ia+OI8HEd2hh6YIN8k0Fef+w3UuSRJzZZvFmcyxOuMkgiihkDEoZA4PuY9P5EiSdLKfAIJcPU7XnELA9SMcL3ykmHyKpxPHakmE+9v5Mx9OYByOjUoAkgQyls6L52aRJSHOevXi3LHbf+XyPABXN9uoyj33tmLOOJawsTgjyNRRnFBrJThehK6KWOftgwF+GN33HYuShLUjIsxK0aKQNbBNDVNXJkPcYs6gOxAJASkJR5Y1fhDz0vkqQ1eQljw/oj/y0VTlPkJGHCd0h+J3h06cD8LROjsME9BAH3v2Hf1dcCKyWpUlZmcy48ShgNW5HP2sgW2o3NjpHnOyXpvPoz6gJ2hZOn/vr1249zeiBHvgYWjqfUkAsydSgaeY4hC2qXF+tcjWQZ9b2+LfDE2hnDc5t1LkhbPHCYlXN9sMnIAgjKkWLWbLFlEszgsvnNH51a+tT2673xzx7VeW8cMYP4gY+RFBmIjh6mIBJMjbwpipmD1M0ZVI4hTb0LAMsf6iOKFSsCbO7dfvtukNA3703j4g6oFRL+ClM1V+6cur3Nru4Qcx5qFZkxcSj9NvjxI+FqoZFqof7mo3dAJ6I184byoyrh9Sb4+Yr9hUizaFrMELJ0imv/yVtcl/n9xPjkbYp+P+3qGIwzbv78ce3t40VJZnsqiKQnfgP9It3PMjRl44NXCZ4mOhN/RpdBwqBeuZniupqsy3X1m+798P14ltavddN0HMNx5Ve5yELEucXS6RzxgTgzsAQ1c5v1qiPwq4dqc9+feTvQnHj8haOtmxA//afH7irh/FybHzXG/kQypSA1w/IkXsnyMvZHU+x9JMljRNx/0dk+XZHJ2hz9Z+n+2DAaSi/jF1BUkSohAARZaP7eNxktIdeKSpEKTe3umy1xySz+gUw8cbLARBNBFwALjjvwUwU7L5zW+efqzHeRQOZzxZW//M3c6n+GgIQjEvEyYRBmdXSo8kCeYzOi88YR/xSXB41ilkjWN1wmHfIEnEPJEY4jS976x/EiM3xAsiHC9CU2QaXUeknmkKp5YKtHsesgyaqrJQspAlicWZDFFsUcwaaJrMC2dnRB9l4JMi6qP95ghZltBVZZIENBgFk/4ugDfeO8IooZw30RSZ7DgNTddESs+l0xWSVDiQz5Zt/nf/s9f4nT+5TqvrMnJCSjmDs0vFx0oqAY6ddR7084fhQeehKT4beEHEzjhRZaH6cPLXXNnmb3xLEJiTJOFffX+D7sBDlqCYM5kr2azM55ivZnj3Rp23bjRI0gTHC1mayXJxvTIRORq6ys+9tIypKyIVJo4pZHRMQ2WnPsTzI2xLpZA1yGcNilmTNPXI2WKeL0nC1f7iepmVuSwjNyJOEkZuyFatz+JMFmdM9AeRFhrFKQaI2XucYPLk38Ny3qScNzm7HPDB5r3r/cl+zGeF156b57Xn5j/y/Q/PBOqRdIWnDcf4acnYpPNEr+dBtduzhr4TUG+NKOVNilnjqe1nH32v//KdnWO/G7rBfTXr4kx2woubr2Q5t1wgjFMqBZNi1qKcF+eCB/XHWj2XTt9jpmQz8iKCMCaKU0xDoT/y6Q6FaKuUM8haGhLCpPWk/dN8Ocv/6T/6Kq4fkbN1rmy0GHkhcZyQGV87Xzh77/zx2794lt/+xbOP9X4c5V45XjgRcAD0Rz5xnOCP0z4GTnCshxdG6bG6xNCUY+egfEaf3P7tG/Vxf0W8955/b787xGHvdXW+cF9iwUvnZibC1K1a/9jv/OD+x/q08CgO5RRTPAjPeu/70PzuKHYafZZnni3BYcY28WOXJAFTVdhvDXnuIyZtflaQFJnnTpXpDnzmy/YT1zJPC1bn86x+9KMfMBVxfG6Qz+hYhorjhew1RFPvxlaH2bJ9nztLb+jzRz+8ix9GNHsuZ5aLzJczzJZsduoD9hoj3r/d5M0bDRH/td2ZHHDKeZNq0Rqrx+HccpGsqfLdN3dFfLEkUc6b/PTKAZah4voRhazBXnNIztL5V39xm/4wQNdk4gTWF3J0hz45W0QDzxRNJAkurJf5q3d3ubs/GB/aNM6vlWjVXKoFC9tUuXSqzObeQBRjEsfc8ebKNnf2+ozckGbPRVVl2n2Pi2slbu/2Ji78q/M55sdu/42Oy+ZeDwBdk7l8ujp1m5jiM8Vc2Z64pxyu8bdv1Hn/dguAK5ttfv0bp5gt2Wy64rtrmSp5W6z/n1yp0Rl4BGHMbMmikDWRZAnPjybunqoqTaKQdV1hfSFPMatza6dLfyTiTHOmRrPrIksSSZpi6KLIanQdrt5poyoyjhuSpilBmJAxNdIUTi8VuL3To933gHHkcpJy0HLoDDwaXeEUmqaQsVSiOEGRUyRg6EVs7vcZjgmuYs1XPlIRHEYJVzaak0GNrssEgajUijnjoYSoubLNVm0AiEIv8xCngWbXZWP3/r1jrpzh7n5/cv/sUxCnOcUUUzwb+Lu/fJ73b/+QP/zBJn/zW6cnZ5UpPl9Ynsth327da3gWLXYafd692WLghAwcnyhJiMMUWYZEltB0BdKEd27UQZaQUgnSlCAS7r2dfsB+c8RrF+dYms2xvpCnXDDZrQ94/VodQ1X4E3eLrz0/z9nlDyeTHkWlYFLvOBSyBs2uRyGjP/D6aBkKe40hfhgjSbD6OXBYmmKKJ8F7t5u8c6MBQHajxW98ff2xHU5v7wrnZz+IaA98FioZFEWiUjDZPhjw7366zU59iB9EaKpMEid4QUwUx8IRMkyRx6SgjKUxW84wcIJxep5FHKdkLY3b42S6NA1RZUEOtwyVatGanNHF3310GlTW0shY2mTw+yRNW0WRqRRMWj1RK8yUrKdi4PW0YOAI0lmaCoLapVPln2m66BQfD+WCSa3lEMUJsiw9drLai+eqbOz3iMeDz1LOYH9sUmJbxYfeb7ZsMXADSME0josgaq3RpK5FStltDCd9tO7Qoz8We2ZtneXZDEki0n3OLhcZjte2aSjc3BKO+JIEhq5M+mpJmnJ7p0uaipp/pmTS6Ih1vTIvEjvSFBRZkEMOyRvykXZbnKR8sNnGHQ86l+eyLD6EsDJbulenz5ZtYcwQJUgn+oKlvMlec0Q0/p17pA/iBRFv3qgTx+kk3fOQ6LG+8GABx0lEUcIf/+jOJAX4wlqJL1/6mF36Kb4wsAyV9fkcVzcNam0XRZKQZYm5B9R9h+tbU2UKWZ1WzyOKU0p5k1prdKxWLBdMNva6k5RYfZzA2+ioeIFI0SvnzUkPyzJUFmdt7uyK/luKcKUu5kwun6lMiLmzJZveKGB5Nst2fUijPcQNU/7d6ztYhoJpKMiSjKmL9J/bOz3iJAVJzA6ehIxe7zjc2euTpintnodlKLx9s4llqHRHd/nmS4uPdLU8uZ+IRLH7+6uPwmzJpj8KSJKEK5stdFVBliV2G0O+8eLifbcfOgFXj1yzn1svk5n2AKd4QjS7Dn/yk61xUh5857WVR5I3nzU4XsgHm+3JWeLievkTIweVcgZ7mkwQHj8PfFitcnapSLtXG6eOCSfRrYMBvWGAqsgTt+j+yMcNYmRZwgsidF0mHNddaQLNnsfN7S5BGOMFMbapcPl0lSROWZ7JEISxMIAKYnxDZa85IogSVudznF+915dJkpRrd9r0hj5btQFRnPDBZgtTV7EtldXHdNXP2jrzlQy1ljhDHpp1fVLoDX1ubHUmZ7/LpypT8dozCMcPJ+d0Q1O4/CkKND4MB21nMkczdIXLpysTErCiyBNOQtbSkBUJRZI+tPdQzOps7vXxA5EYJsvw3u0WWUsTgnZN5trdDrahsd8aMVOxGTri7GCZKrNFi3rHZb81Ik1TGh1XCLhSsecYujIRgF06VeHNawc4fgQSk3VtGSrb9QGWIc5hlqHg+gmWqfLmjTrVgkUuo/Py2ME9imPujuscP7TI2Y+/rsp5k/3m6F5dNE32fibhBRH/5gd3cMbXrVcuzD6WqOF7b+5y0HHYbzlISOTG6byuH/Hm1Rrv3GzQ6LgkKSiSzOXTFebKNht7PUiFUaoiSWzVBgzdAClNafU8YYAoSWiqRBglGKrCQjXLyAuRJYne0MfVFPJZIZq+vdPD8yNkWWK/NWIwCthtDNmpD7FNdWLmMF/OTOqMR83eHxe2efx6P1d5dgmlhzg8Exy+poVq5onSdX5WmCvbkxTaQlbH0D9/ws5O3+OPfnx30lv6+VeWn4l+9stnqnz3jR36oxBJgsunyry/0ZoITmaK1iRZQtdk/vCvNrk95smVsjoLMxmaXdHvev7M8X1otzHku29sT86CxaxOY8wdLKQ61+50Jj/PlYXJVH9sWlMuHO8NdPoeN3e6kAqRRxDFk4SMcphgfkLfKctQyWf0yfO4sFrkj3+8heuLGea3X15CliWSRJjpnV0p3uvHmirZR9QtpxYL3LjbJYhiFEXizPLxfsVPP6hN0sGu3enwa19bf2jfsTo+fxzOZh63n/xxEY/rjgdxKKeY4vOKV55bBt449m/PmoADgARcV/AgoyjlwtqzJeAAaHVc/uKtXZIUrmryZ56o9lli2ln5nEBRZBH32XMJwhhjTBJpdt37RBxbBwOCKEaSBClDkSQun66QsTTeul4HoN5xMTXRHDR1lTu7febKGWRZ5pe/vMp+a4SmysxXMrxyYZazK0Xe32hRzVmM/JDTywUMXWG+nKGQ1XG9CENXeedWgyRJKeayhFFCMavz2sU5wjjh7GIBy9a4sFrCNlSiKKVasKh3HKI4pZy3eOmsxnzV5vRSEVNXuXxaZ+iE6NrxKLfZkk3W0rix1cU0VRRJkNR36qPJ4ePw/Tk8gBwKU+CeC8mHkVammOLTxOJMlnzWII4TcraOJElsHHGVGowCWl2HhWqWjKUShAk5W0NR5MlAtpQz8YKI505XObtURNdk3t9oTR5DUxX+2lfWGLgBsyUL29QpZA3+wW9e5vtvbFPMmWRtnThOObdSBAkh5kig3fOYLdnIkkSlaJGkCatzOWRZotlzWZ3PTQQcIFTm8+UM/ZFPb+QzdAJMXWWmaJK1DV46V6XecfH9EF1X2W+O6I9dbBxPuNA+qkh6GPoj/5jTlqGqnFnKkiTpIx0+5ysZcrZOGCXkM/pDi/CH7R1zZbEPhVFC7hH3n2KKKaY4iZfPz/LK+RneutHgv/83V/nP/+evfdZPaYpPAaau8hvfWOenHxxMHG+u3WmTsVQgQZYN+kOfXF4Vrri2xm/9wll+9F5tQk4YuCGX1svcrQ2IIuFO5/kx3aGPoausL+Q5u1ykO/AoZsSQkRTu7PWfWMRhmxovnKkyGrs4SkgPvD46XsTybBY3iNFVWbhkTzHFFwiH53AQCZMHHfexBm1JIsiKIIjO1YLM6aUC+YyOrin89IManh8xW7bx/IiFSoahF+B5EfWOy9ANkCVR5+ezOiM3ZLGaIYqrtPse1YJNLqPT7nucXiwQhgmaBralcX6lhCRJE3crZ+zKpX+Iq6osS1xcLzMYCXLpkxIWzywXqRZ98ZwfcS7/IqLV8yYOYUmS0hn4UxHHMwRTV3nhbIWhG2IZ6mMnqZxdKfH3f/0StfaIuZLFnf0Bjh8hS9znZngUlYKFZRzvCRyi0blXr/aHAaWcgSxLaKrCe7eak7U3dAKWqnOYpoqlq5iGysAJSJKU/shnvymGu0mScrc2YK4kiBE3xoNIWRZ9t2+9tICsqBiaTHfgs7nXJ4oSwjhl5PpUCiayJDEY3nOFHrnhhHANosZ+mIjjaJ2ey+ikacpg3Fs4Ssw+dMkbugGWofLurebkd9sHA8o5gzgFTVFYnsmyMpdDkqXHjrruDLyJgAPgzn5/KuKY4rEhSRLPn5lBkSVWF1pIKcxVMmgPWOdH1/fZ5QLv3m4hS2AZ2rG+Nojv/Wwpgx8kGJqMpoqEj1/6cp6RF1LKmdyt9VlbyBNFCZYhHHXnKglK1xE9LScga+t0B/7EkbuUN3nhTJXzKyXeu13nT3+yPakJBqOA2VKRU0vCUTKb0RkMx6lCKTR77hOJOA57bJIkMVOyGDhi39I1Ucds7vYfKeJ40H7ywtnqff3VR6E8fr2NjsONu91JvXO31n+giKPVP37Nbve9qYhjiifG5l5/kp6Qjmv2z5OIo9XzSJJ7r6/d8z4xEYemKjx/psrACSZnGPjwWuXcaolywWTohMyNk8cPEzwUWdRG/VHArZ0u+VgkG5ZyJuWCTqMjnLF1TaHZdbFNBctQ8DsurhcRxQm6qlAumlxcK9Mb+rT6QoS3vpjHUFXmyhmKuXvO1F4QMXJDHC8kihNhjJfRUWSZSt6ic+Tc8WH4zmvL7DZGqIr0iX+Pml13sufFsahTFqYijmcOza7LbMkmihI0TeGg5VD9jObhjY4z+W8/iBk64bG1cXqpQKVgcmFN9DFlWfrQ/aMzDDizXOCg5RAlKfWui64qJCkTk4yFSpaUFE2Ref92a3K+cL2IUwt5ijmDkRuiqTJDJ0SWJU4tFVAkiVcuzJKmTPaW+arNQcshn9En5x7Xj1ibyzNXznB+pUR74LFQzdAd+FTyJsWcwVzZxvFEzagqCqeX8sQJ5GyNgRNRyj/e2tI1sQ8O3eP74BTPFvabo4mAA+DOXu9DRRxBlLDbGJIxNc6tFHG8iFfOzxInKZah8sFGC11TKeVN4iRlpmRSKVhUi8Iw9bCHsNsYEkQJSVOk3pxaMmj1XE4v5slaGt1RwOVTVUo5nRtbXSRJ4rXn5hk4AavzuYkpgmmoZC2VIEqQEMk0/WFApWCxOJMha+nkbA0viD+x2fmhiLr/EXuTTyMOzwSHaHYfr7f8s8bybI5i1iAe8y0+rM56FnFnX/S0YHxG3+/zzZeXnvp+djZr8r/5Oy/z/kabasnCGPNuQNSsG7u9yVoJwoTd1ghDU0gBN4j5zW+dZuhEWLpyX1ro5m7v2FnQ9WNevTCLF8bkMgY3t9qTPuhWbcj51SI5W58kWB1Fo+tyGM8RxQmuF7E6lyNOUpHoG8RkrI9vuixJEudXSwycAGVsTvuli3N0Bh4ZU6NcsFidz4mkOUtDUxUqBVPskRkd5RH7VCFr8JvfWqfecSnlzPuSczb373G7ugOf7tCjWnyw2Mw2NV48W50kpnzYbOaTwtANj3EoGyd6TVNM8XnEza0mqiwRjfsUqizR7DhUS8+YGFQWhtlxkmJqMtfvth57vvG0YLPWJ5/RicdCuls7XZaeIKX184RpFfcUIAhjbu108YKYasFkdf6jqbsURaZasNixhpOGr6EreEHE7Z0efhgzV7YpZHS6Qx/XF+6d51eKk0OaZaiEUYBtaiiKj6kqjNyQRs/h5naH00tFbu50eP92C8cVTQvbVPnSxTlevTDLG9fqdAc+jhexNp8nN3Z9ubndZXe3x8gNMTUVxw24sdNltzGkUjR59cIcAGeWC2zXh1zbbPHe7SZpKhz1KgUROWpkDc4ulyYHFlWRjzVzDuH5EZt7feodhzhJKGUNrt5tj6NXUy6fLqOrxwfppqEwuNcreuwh+xRTfJo4md6Qt7VJE0eSIDNuVtqmhn1kJmoaCo2uSxwn2KbKymxuslYMTZk0VFRFppQ3qYyV3O/cbHBjq4OpKyzP3duLZFkia2vs1Af8f//oOvW2S6Wg0XdiwjAmihPOrZQmzRZDE44aQRiz2xCKeWMcF54kKf2hcARWZBlVVZgpWVxYK7NQvRdzHoQRG7td3rlZJ0lTtg8GfPuVJWae8OBk6ipIQkW+3xxhGiqmobA2n+POfn9MiFI5s1S8L30nY2k0Oi7v3GygKjKnlgr3fSaGruB1ImothyRJmSnZVAoWrh+xudcjjBIWqplpsTPFFFM8Ef7Dv3GZt/9v3+Uv3t7lV7+2NolTneLzBXMstDhsoFZLFu/dTmh1HfpOTJKC68eEpkw+o/Pj92t8sNlGluHUQh5TU5BlmTQFP4wJo5jOODr96PVqoZrl2p3O5OdHiSL3mkNqLQdDUzizVDg2+NM15UMbh5ahoigy2XFz9fPowPRhuFvr0+p5WLrK2ZUCmvrFew++yMjbOoOxqxOSGL4/DmRZQh87yAK0+y7/6vst9pojlmaylAsWXhCx3xgycCPcQCRZqorEwAnoDQPiRCT3GI6Mqih8980d4jgha2nkMuJ5FLIGXhAThDFxqjBbPu4YZmjKxBHvcaDI0gNr8sfFycHGFAInncY+KeexKX520FSFUu7JPjcviHj3VoP2wKfd87BNdeJKqSoS1+60cfyISt7E0BX2myNUVebMUuG+nsBR3K31ieIE29RI03TSDzzueJnwu9+/xV7ToZQz+Ie/cZlyUTxgFN8TZEqShOeH/OC9PQBsQ6XWGo2dp7VjbqFvXq+jKjKqIqNECaBPem3ZzL2/rWsyd/d77NQF2fCFs1X+4C83GPkRZ5eLfGnsTnuI46QMiVLuwS9cU+XJ78wj6SEZU6PV9fCjGENTyNgayw8hRLR6LtsHA0HaWixMCGMZS52kmgITJ94ppnhcyLLE4kyOkXdvUH703L1V67PXGnJ9s4OuK8LF2Q+ptV3OLBawDO2+3vXrV2u8e7OJ68dcPl1BU0WN0Or1xwQTkUY7udZLwqm6P/TZdEPu7PbJ2hqyJE2IknGccHu3x9ANKWR0nj89w5WNNhu7goigawq5jC6In5Jw7fzxe/vc3e8jyxLffHGBM0vFB5Kz+qOAzb0eG7td+qOAct5k5ciQTpIl1uZz1Fr3GvbZDzlX6ZqMJMIKgXu1yJOm41qGynzZRteVCWnnpJiy0XF5+2advcYImRTDEENTXVOeSpLVFE83Tp6Js08pIeyj4nC/iuKEa3fb/PmbLpW8yXdeW+X00sOFWSdxuG8ctEYYhsps0ebMcgFdUyjlTA46I/4f//wdekOf00sF/oO/duGRtUqlYB0zcpMkiULWoDvw+Gd/epP95hDb1DizXGDohozcEElK8fyI3ihAlWUSDsW2EoamiJpMEv2QhWqW2ZJw4g/iBMeLsA0N14/4wbt7XLvb5quX51moZtFUhXbf5f2NNt2+OAcqijx2L5fJ28dfx/bBgEbXxdQVziwXj9Vwsix/avvQyTSjaZ3ybCJn65NzOvCZklBN415aH5IwZfvemzsEUcyLZ2a4sF6ikDV441qNH7y7jyRL/MpX1giCiGt3O+iawjdfWqRSsEhTITjfawzojwKKWYO+E6AqIlGr0XUo5UzyWY0PNtqEUYKmysyWbVo9j4ypctBxkCRYW8ijqhLbBwOaHSFKzVn6RAQLot65tdMlY6h88+WlY3u5rirUuw6uL9b9pdMVwjBh6IZoqkIxa6DI8sSUM2tpkzOHokhY5pNxFI7WPs8iekOfO/sijW1tPv9EIuDPC/IZHSQmhOYHnXvTNJ3MtS1DRZZgvzlk6EZkbY25ss3ppcIkhc62NOpdlzBKx2mYEu/dbrLTGJCmIk3DCyJKOZNKXhhAuX5EveWw2xyyOSZ6z1Vszi6XyNk6QRizN55lLM1mqRYtdutDekOfZs9lsZpBUyQMXRCwNU3sM8WcOTmTH5KyGx2HH7y7TxDFPH+mwnPr90QrUZTwF2/v0ui5VAsm33x5Gf0h7vXyx+xNPm3QxkmAhwLYp5mz9FHMN58l5DLH1+HhunwW+tnXtrtsNYa0+h4XTx13NbcMhe2x8XMhY6CrEu2+SPi1LZWlkk1h/cF8nNyJM4MkwQ/e3ycIY9YX8timNvnu2paK44V0BgGKcn//zjLUYwYpWVub1PKHs5KH4VCM0ncCcrbG6aXiI8UWsixNPrc4TugOfIZOSBgmLFUz/OXbu7QHPvNlm8unyvzgvX3cIObCaom1+fwkNWxtLPQ8CtvUWV948FrIWhrtMS9LUSRs8+Frxg1ifu+7t6i1R8yXM/z2L5xFf8RZu9522G0MURVhBvZRRWyGphzro0zP91M8Dt6+UefGdhfbUPnmS4sUn7Fz6FLVJj780iPSxp85AQfg+AFDV9RSvh+z/AyKH3K2xsiLiJOxGcYz9l36JPH0nvi+QNg6GDB0BCm71nLIZ4yPXGgoisyF1RK7jSGyLLEyl2OrNpiotXfrQ+YqNvNlm2bPxTY1qkdiR08vFdg6GPDzr67wwUaTVs9jcTbHbClDp+9zO+nwxrU6pHBtq4MqS1xYK/ODd/f48qX5cUy7QdbWyVgaC9WMiGTc7aFrMhfWygwcn/3GiKyloykStaZDd9Hj+bNVZEninRuNsdhCOAnPFC1sQyVnayzOZB9LcXpnv89oPFxqdt2xu39M1tZJEkG2/tKFOVbn721gh3HEfhBTLVqfC6X+FJ8/fOPFBX76wQFeEHNhrUT+IcXxXMmmlDNw/Yj5sZPUIS6sltg6GJCmKcuzuckgtdl1eG/sTukHMUjw3HqFKE5YqGTQVIV//me3RKS4KrFdH1HIGBSyBqausFARyTuSJLE6lyNNRTz64ZqtFExmKzY79SErc3lmyxGeH7M6l+NrLywAokm1vpCnPXam0lSFveYIXVPoDDx+8O4+v/XzZ57oPctYGmeWCrx3q4mqypRyBo2OSxQndPqiMOwPA/Yaw0lM+iGCMGZzX0TKhlHCxm6XF084DqzO5bi53UVVJPJ5g0bXYXEmw+Zeb9J83qoNyGf0qXvuFFNM8dg4tVjg176+zh/+4A7/93/2Nv/N//YXn+pm7RQfHUszWZI0xfUibFNltmyzfTAAxNwGIEll2oOAIE4p5Aw6fZ+BF/IbXz3F0A85u1xktz5kvz1irmwfc9Y5/BuvPjfL3f0BhYzOly7OPfC5jNyQnQMx5ImihDu1PhfXniy2spA1WFvI0+l7WKb6zDk+fFx0+h4HY6LZIArYPhg+ESllimcfX39xgZ9cqeH6EedXS0/UvDy/WmKnPsTzQ5o9l429PkGY4AY9zgCqJBGnKaoiQQJJItEbhaSpGJjIioSUpgSRIFaHYwJAlKTkLI21hTxhGLGxawpCQ86gnJumTz6NmCvbhFHCyA3JZ/VpSugXBO/caEzIyjv1Ic+dKpOxNJTx8L43drffPhjgh/EkkWJzr/9Ih05dlVFkCcHRkjE0BU1VOHdeOMIGYUx/5PPuLWGoUGs5/O5f3OJ/8TeeBwTB0Q+Fg6ZlKFy920Yan1I6fQ9dk0lSQZZOknuCjxfPVAnDmM7AZ2kmQ7lg8f7tJrqq8Oqle2eRkRvSHQVIsuCrvH61xnxFnB8+2GixULE/tov0+ZV7fZBKcQbXj+mNPHIZndJDerBRnLBxxGHw9k6Xl88LQYlt6nzrpSWubLbQNYUvP/fgs9UUUzwKpbzJ6nyO7thcZGFs/tEd+NRaDjfvdqm1HSxDZa85ZL6cIWNpbNb6XDhVZn3xXg9rtzHk2p0OmirjBjE79QE//+oStaZz7Dv84tkqkiT6fjMlQV5udD2SKCVjqeiauP+heGuvOZqQKlo9j6yt82tfX+d7b+7QG/pcPl2dOGXOlCw6A49WzyOIE5RUYrM25GLbYaF6v7HJrZ0u7Z47dvMVSX/SODH86PMLImHsUswZvHJ+9r7HOQpTVzm7UuSg7aAp8kc2ywLQdZVf+NIy794Sxi6vHqmhgjDm6p0WBy0HWYKDtkvO1lidzxOEMZ2+94UkH07x0XF+tcTIDTloO1QKJpdPPVkd/rRjpmQRRjFX77TZbQzRFZlWz+PPX99ieeY59Mfsd93a7tId+tQ7LpIEhqqwdTDg7HIRgN/77m0O2uIs9cFmmx++v8/Pf2nliZ/vD9/fn5CJXT9CkkRKT9bSqLVcspZKfxSgazLnVsqU8wbtvsfibIZyzkCRFdYWcixUs/ziayu8ca1OKW+iKRKJBHd2+9iGytAJ+eG7+/z2d86Rpintvo+qSOSyOqamsLqQw9RU5isZLqzfS1PtDf1Jz2cYJWzV+pxbebK01Y+K+UqGaCxIKeaM6V73jOLQqb878FmZy32m4sP1hTyyJBGEMbNlm++/tTPhTPz0Wo2l2QxI8Gc/3WbMCeX3vndrktznBzE/vlLjN75xinbfo952mC1lGDohcZJyainPYOTTH4XIsiAmprGYW4ZRgixLZEwNP4xw/HAsBhFO40mSYhoqC7NZFEmQxA+5BPvNIR9stAAIgpifflDjl7+yNnldSZKgawpJkqJr8iT5JGONncVNjWrRmpDav/2lZd744ECIV85Wv3BzgNs7vcn589ZOly9dnHskGffziErB4mvPz3Nru0fW0njt0v01ZqPrTtI2tzp9wiihlDdx/RGyDCuzWebK9mSffvXizPj64pGmKVlbI47h1nYP0pRG1xNJ24iz+PnVElfvtonThCRJGXkhXhCL5KmOi22oY2K1mPtLwPw4MXinPqCcM7EMjShOOL1coNV1KedN5iuZB4qqf/DuPgNH9DneuFZnaTY34T1c2WxNTCL3GiOu3G7yyoVH1wKfF2iqzLmVIvutEaosH+MzTfGzxdnlEiM3Yr85olwwefFs9bN+So+F/eZwYuoWBDGbu30unRKJNVlbY+QE1LvumMcjvm9XbrdJ0pSzS0WMRxiVvHCmgh/GtHsiYer1qzXCKCZFJAr9zW+fnuxTF9ZK3NzuomuiL5meeKyjs9HyOKVq62BwjJv0MNTaI9p9kWre6fscWKOHpvqexKH5gjE2rbu21WEwEmePrdqA2zu9ifHruzcbtLruRLB0a6fLqxdnHzt55tsvL/HT8fX98qkK9iNEmj94Z4e7NSEWuVvr8xfv7PBLX1574G39MOZOrX+Pw7TX44UzH+37aRoqZ5eLHHQ+fh9lii8GGh2H92/fOwf/6P0av/b19c/2ST0hkkTFNpSJuY5tPpvipaNp5wlw7U6L86vPVj/pwkqJzd0efSdkvmKzOPvF4pUcxRerAnxKEMcJja4rYsGLFvERRzuAOEnuv0+SjmNqU2aKFsoD4tUPkbV1LhwhW0UnHj8IYlbn8/cuvkdOS7qmTBqeL52tsn0w4MpGi429HhKiYbnXGDJ0QxpdB0tTOOg42KbKQWvEXn1Ao+ehqzKbe10una7wUjpDEN5TfMmyhCI32a0PcIMYRZYE+TljMBwXagmgyDKlvMrp5QLtvo8TROw1h2zu9ViZyz2SxBDFCTe32rhBzEzRRlUlJBkGjohSnC3Z95GpFEUeu5JGT+zONcUUnyaCMKbVExHd1aLJz39phTBKaPVc6h2HmaJ1X6EgyRKXTlWI05T+0KfWGpG1RdyfaaicX72/qX9I8jpEkjDZDwCGTkB/5BMnCYoso6sqlqGIPUsCbSzUcryQ9sDD82NqnRHv3WogpTLffHmZfMYgY2mCNKJZ5DMirefdmzV+crVBFCaszGdZmS1QyJmEUYJliPUYjffO77+1QzFrYFsanh+RpClJkrJQFc2pB6FSsFiZy9HqeZN/88PjrzeM7997kyQ9tkdGY5fNKE5odl38IEZVRCJR8dB1IRX7/KEj5yHi5GRpOsUUU0zxaPzDv36Jn16pUWs5/H/+8Cr/6Lde+Kyf0hSfMLoDjzv7fRwvRDcU9usjWh0HP4g4etmQFUjjGM+TMXWZvK2xXM3hhRGOF7K2kGO+kuG9W82JGPzkVee59XtuVnGSctB27qstojghjBIGY5e6RzUUH4W5sv3Qa/LTgGRcW7lBhCyJ1/lJEaSjE9f/k7XYFJ9/mLrKt19Z/kj3tU2N86slDlojPD/GD2IkCQajgJvbHWFsUMly0HHoDDzCJMZQBdkhjFJSQFMgCiP2W0NKWYMgTpFIkcZ190Hbp5gX0d6CtBB/6PN62tHquQRhQrlgPlGKyNMMSZI+EpHmWO+oZH/hSA/PCgZOwMAJyNk6tqFOeoR+GNMfBTheSC4j3HEPxZQ3tzts7vXoj4L7jEcOxQb9kc/6Qh7TUOn0feFYJwljgyhOSUmxdBV77CqlaxKLlSxeGDEa9+MOcZhacQg/iNltDJifyZKmCSM3EGeNNGF5Lo8ibD1x/Yhaa4QsSVSLFl99fuHY4zxI3BmEMa4XsrHbxdRVSnmTTt8TjoBZY5xuNELX5Eder9M0pdF1SZKUSsE6lrR5tA+yUx+gyCLtrJSTOFmq90cBQzfA1FXSE/2A7sDH8UOKWYO5io0ydjD+pIxgHC+kOxSuqs+yk+4UD8fhNauUF6kY85X7k1vjRJzH95pDRm6IocmCROWGmIZKkqS8dfWAdsflK8/Pc32rw/bBYOImXcgI8d9s0ebqRoeUlHxGR4ph6IYYujJJkN2q9fGDiIylTRyfs5aG58fsN0eTa4okSfRHPjsHA2ZKFr/+9VNUiyLNq933cLyQ3sDn6maHIIpRZQlVkUnHRk0n0eyM+MmVGiM3wPECgjBBG/fmTy0e79mfWsxTyhvYhoYsS9Q7Igm3WrQmDuJHUcqZD1w/jhdxe6eDqgoTLFm+/75393vc2umyVM1y8VTlvs+nN/QZeeGEgD50RaJ5nKZ4YYI87s+erAmmmOJx8HGIiYc1bpI+fG181licyYo96Joyub7GSUqUJDyuh3OcJBPBaJqKa//hfDVJUjpDnyCM0VSRWLrfdGj3PconhAaHvX1ZkpAkuL3bQ5EFebWQNWh1PXbqA/wgxNA0shmVkasw8kJkSbgKJwk4rhDCWrrKi2dnkCRhSiVLEsuzOd6+cUCnH3D5TJmFsUD1vVsNrm60RcqSrnKn1ufPXt/m7HIBRZIwNZG+lLd1vvPqKoWswVvX6/y7n9xloZqlUjDvSzc6OYf4JJAkKc2ee99+K8vSlNj1OYCqynxtfE7v9D32mkPKOfNYKtjP7LkoMoWsThAmZCyN4OicMoWhF/LGB3X2W8Ic8kH7WxCK2iWKUxodh73miFLO4LVLs8yVbb775jbzZVskfTgBu21BDFdkiThJ2Kn3WJjNE0cJQRBzAAwdnyhJWZ7JYWQMkMR56pC8HpyYLwZRQrPrsFMfUsqZSBIEYUSr65LPGtRaIxYqGUp5U8w3TY1Wz50Qg/O2zi++9uSis6cRh/Vu3tYfy6U/TdNj3JjD/f2evdEXB2eXS5xdvje/T5KEm1s9eiOPcsGa7PdJmtIdeAyciCBMWJrJYBgqB22Hg7bD6nyeZs/h3/5ok1bPo5rT8MKUwSggSsQ6SZIUP0hQFAibMUM3YqFiU8mbNNoOAycgJUUf82sanRELM4JUfbSulySJpZnssfm7qatcPlXhnZt1DtojqsX7z+auH9HsOQzdEF1VsE2NMLzXhwjC4z2Jkz8/KVw/ojPwPrVa+5PuTRayxjOR9vBFwEvnZnjp3MyH3/Apgn9y/UTC6OHKRouL6yVKeYuRGzJ0AmHmoChkLJU4gVxWpz8KuLl1r3be2O3xzs0GC9UM33hxibylMRj55DM6cZwyciPCKEbLG8RBQqPjEqcpL5yuYmoqtpmgKsIOZuSG9EY+GVMT3/OMgabKZG3tGFfxw3AfD+dDzsOH3CpZlkjTlGLWmHB7tmq9Y7d1/RBNvTdn9cOYw10vSVKSFJTHvERln+D67p04W5z8+WjNZ5vqsSHwSc7pk6KUN39m4uxWz8UPY8p58wsnWv28wA9iojjF9UMUWSKMnr1UpiAM8I6kI/t+zHAYkM0+W6/l5PHoUET3LEGSJb5y+d4M6SRv9YuE6Y74GeDa3c4kGaM78FioZhk4HZIkJWNpD3TqvLndoT923Gv3PS6derjD3kksVrPc2umSJCk5W2dtIY8XdHD9CEWR7hsUHUUYJ7x/u4XjBdytDZkrmdze6yFJklDxqzKyMqCQ0XDdkNev1yFOGHoxWVvlnVtNbm51OLdSJoxcKgWLpZksjicOfn4UowCaIvPBZosLq0XmKza1lkO1KIqc3cYQRZb5/hs7NPse55dLXL3T5te/vv5QV9Nrd9u8e7s1bqK0+MUvLbNTH2LpKoauslC9n1S23xxNXI/3myOeP1P93BBApnh2EccJVzfbk2LL8UJW5nJcvdOakCoGo4AzJwqahYpwmtneF06Tnb7Pza0OF9cfrrqcK9vMli3qbaG8P6rWHjgBV++0Ob1Y4PWrBxiGSjmvs9sYkqQS+80Rz62Xcf2IDzbbtHrCDeRPfnJX7DWyxF5jSM7Wxk2kETNFm3bf5dZ2l+++sU3fCUgSkGV48UyZxdk8tqWRz2gkCXh+xNDzaHUdeqOAjK2RNTWaXZeFapZCVueXvrz60D1toZqhO/SJ4xTTUDi7XODGVgfPj1EUaeJ4eBSmoVIpmKL5JMHyTJY0Tbl2p01n4LNVG2CbKllLw5UiChmDct7ENjUWZzIT185izpiKw6aYYoonhm1q/Kf/05f5r/5fP+JffX+D509X+foLCx9+xymeCfSdgH/7o7sctEbsNkZjxxmf7QPnPgHGwInQFYWUCC9IURSZes9jdL2BJEkMhiEvnp/h0ukyew3hxvj8Ixy5j9YWrZ43ce+2DJVmz2UwCpAkHlknPMu4tdOl2XW5W+ujKjKrczm8IP5EUkPKeYNaW8X1ImRZeqDr8BRTPAqeH7FdH2LoCpoi0+oL4bDnR4zcCNePGLkhUZTg+jGeHxKMBRwgmnZxEuMFCa2eh6WrtBWZP/3JHYZOSBQn3K0Jt77FaobluWfb1WT7YDBxod1vjXjhTPUYcfuLhptbHfqjj9Y7muJng97Q5/pWRwzaJI4N3LoDj+36gDhO6Q198l9dn/xu+2DAW9frJCnc2e/x64fuVhL0ht4kVfPKZotTC3lURfSzRm4wFm5C1tZYqGQIQuE4u10fUR+7VUtKStZSGboRmirzndfuidFu73T5F39+UxAur9bpDLxJKshsycI2NfwgxtRlJEliqyZ6a92h/0ADiZNISfjpBweTRNDewKOYFw64w7EreXf89/wgZvEh1+vNvT7NrhhU1DsOz5+u3kdyBLFXfO/tXZIk5dZ2l4VqlrUxGbEz8Li51Z28txlLZTSOJLdNlRtbnfHnMTxGKRq6wX3E8yfFYT8lGatK1hfzzD6DMe5TPBw79cHkrC6uWZUHOktKksT7G028IKbdF+SGXEYMEXcb4rq317B443qDH1+tUclbJElCrTViaSaLpsk8f6bC3ZpI7ekNffqjgMunKly/2xk/zpBiVqfWdpAkQWgWAiWT2aLFQcchihKR1OMEJEnK0Alodl1ubndYW8jTHfpkLY2d+pDtgz7bB0MsQ+GgNSIFLEOjWjSZPSHurrVG/LM/vcHtnR6eHzBwI8o5kyR1OLV0nBjseOGxdSFLEsmY/d3ouFw+XXngOj+JKEr44x/fmTh7NzrufaLbzb0e//xPb5Ck8Dp13CA+Rqpv9Vxu7/Qmn+Vhiniz6xJECVGY8M7NBl++PEc5PyVcTfGzxa2d7iQ1p9kVa+Nx3WF/llioZlhfyLO510dT5bEb7eOTJJZms0RJijEQgkdNUyZpXRu7Pdbn8+wcDAjcmIylMVMyubXdZWUuN6nND3v7jhfRHwW8f7uJH8VIqXC8vXS6wo3tDrXmaCyO83GDkLylo6hCvBnEKfWOgxdE1DsjbEujnDNo9YSIdnk2xx/96A4jV/QF3r3d4O/9ykX2m0PeH88tN3Z6qKpEHKX89IMa71yvM1O26DtCKDtXtslndP70p3d5/WqdoRMQJ/DLX16hUrSwTRXnU+w7bOz2Ju7Gja7L5VOPt99O8Wyh1hpNzu6f1Vz85Pno4lqRd2+1IIWVuSz/5q/u0GiPGDgB7Z7HbDnDS+cqzJUFl0CS7vVAPT/ih+/tE0QJsiTqn3bfI4lTtuoDPD+iP/JJU+HaLcsSqQTaXp+tgxEZQ2PgBIRxTIJExlC4udVlsZqhXLTYyg8YOAHnVkoszWSpFCxaPTFPXZ7N8Cc/2ZqQSIs5nR9fqeEHCX4Q4XoR1+60WZnLYZsaxawxWWOfp17GyXr34lqZfObR+/yhCGCnLsQ1cxX7qRQjfhb4wXv73Nzq0ui66JrMq+dnSRD9nqET0uq5hFFCFKVIMswUbf7sjW2+/tI8/89//h61lsPIDQCJjKVRsFXcifA4JYpTekNQVQVVGVFrjagWTK5vdQiiFNcLcXUFTVW5vdfn4qkKC9XMpA+3OJNBHptHHpulz2b53pvb/Oj9GgDv3Gzy9//6JapjUwbPj7iy0SJJYa8+wrZU1hfyx3g/F9bL3Nnv4wcxhq48kt/wYZj8vXFNsbaQ/0QNqKa9ySmeNizP5CgXTNo9D0WR8IOYf/oHH5Cm8NOrB5xfLrDfdklT2K4PaXQcWt1xqsXAo5w3CEOxXq5utHj9Wn1iVPD+7Radcd3x5rU6jh9x0B6RpsI44X/885v0xr3pDzZafP2FBdFDlCCfMfhgszURdBdzOt2BuO1eY8Tl0xWsxxSUzpZtml13YmYxU3q46UucpHyw2RJ9R8QMzzLvzfC+cnmBH71XI4hibEvjS+dneetmnTQVZ/KLayUO2qLfuFDNfGqmSV++OMetrQ5eEGPqCl++eDyR6WjNZ5sqpZwhPguJh/ZKnzbsNYaT632t6fD8mcpEIDvFs4PDpM3+KECW4IVnJKXoKMqlLEf1D2HCMyfgAFAVOOrT943nn73PYr5ynMdZLX4yppvPIqYijp8xwihh5IZjBwHoDQPOr2q8dG6GMIoxdfW+RliSpBOSFcDQCScFyyE8L8J8iFNuIavz0rnq2NFencSSe0GErikTh6g4FitbUZSJw1aj7TBbttg+iNA1iYETosgysgyGKtyv5krCvXe7PkRTZEZjt9AgStBVhbv7fb750jKSlHL5dBnb1OkMPH7lq6tsH4iILy+MMQyNgRPynddW6Ax8jLEr6O//xSaSLLGx2yMME6HmU3T2WyOKOZMoSlBPFELNrkcxK5I9wjih0fU4s1wia6rMVzPI0v2FU2cgDqbCvUekDhifkCPvFFN8VLh+dEwt3xl4zJQsPD+erNPu0J/8PooEuaCQNXj+dAXHDTB0dXK7OEmR4IENd1mW+eUvr9Lsutimdkz53B34kMLl01WWZrLoukKt2ccbq2wVRWK3MaQ/9InjhG7fwQ9CIZAYu++NvIj2UBSLM0WLasGk3nVQZIWhF5Ek4+QLJIZuhBvE/N1fvjB5/T96b59rWx38IBb/NoIwTAiiBDeIyKc6e83RQwmntin22iCMMXQVRZZ4/nR1sheebAomSYosS5xZLrJQDVEUGUNT8MMYxxPO52kq4mSXZrJkTJVTSwVsU4g1KgWLnK0Txff23immmGKKJ8Vrz83xW98+w+99/zb/+HfeZHX+5z8RovkUnz3qrRFRlEzItr2hz8jx7xNwAKgyFHIGpxfydIYe1aJNo+OQpjLlgnB3e+lsFUWRafdcFEUm9xCns8Pa4rAeGbnhpNHp+hHzZZtyzkCR5clg4/OG7tDHCyLiOCWOxVmm0/c+kbWlKIKI4gURmqpMBzYfA4dnsS8aDomSz4/P3dfvttmqDZBlGQmIopjZksVg5JMAjnf/OpUlCU2TiaKYfEYjRYjBaq0BuqZQzpnEScJcOYPjRg+sqZ8VHK+FRL/lMJHoi4Y4SSfXFGAi2pmSH54udIeitk7SlGR8/TlsTLd6HueXi3hhhG1qdAceIAjNe40RxZwx2RslSeLSqTK6pvDvfroFiL5e6KfUOy7zZRtZlhk4IacWCsRJgq4prM3n0VQZQ1f53e/dAsYup7HEf/iblxk4IYuzGYrZe+SJm9ude47ZcczIDVmcEXW3rir80mvLJCmYmsIHdzqTM8bR9XmIJEnuc7+/cruDLEvomoQiKzh+xNfWioTR+HEGPnMV0Z/oDPyHDiYPB5lpmuL5MV4Qocoyun58GHjzboeMqU7ey9s73QmZ+/AxxAMxSQWQZYmdgyEg+gB+GON60cSl7tj9PiIGo+DY2as78KcijqcQH+d8cvR7EkUJQzeklFPue8xGx6GYNcjbOiszOfJZjcVqDtcPeOtGg2bXm6yzjd0+lbyFLMssVG1efW6WU4t5bFPnJx/UmCvblHIGjFO5QOw/w/F545BoeGa5gKJIXD5VIUXiyu0GsixPEq39SBiX3K31ASGo6g19ojghTVMGo1D06sZC8FLW4OxqUbhXnxjItwceza6LrilEkYKhJSzPZZkpWpx0XO6fWBd7zSHzlQxpKhLDgzB+LNfw3sifCDjE44zuu83tne6xZJ5bO91jIo5DokqSpDhexEzJYr6S4epmG0OTkWSZJEmwDe2+FPWTn/EX9Zw7xaeHo9dcx4sIouSpNCjL2Tp/+xfOjfeARydsPQizRZty3uTFM1UkiWM1d3foc2qxwEzRYr89YqFsk7FEX6Qz8CZChyBKcLxIGF8NPLoDH8tUSYF2z+P2dhdSMAwxO9VUWThBSlDIGBi6jDwmHHcHHq4negsDJ8QPIoJIuPvuNUfYhoahK3h+zNZBf+KKuTybxQtimj0XxRJ7wcgPWVQzvHpxFlKJYs5AkiTu7A8mzztNU2pth6yt8/zpipg7mNqn0nc4+p1yvcffbx8X033w6cDRs0kcC5d+42OSZp70sz15Pjq1WGR9sUgYxti6wo/erxHGCYWMQRTHfPtLS8yVbF69OEu772Hq6mQmd6fWJ2trk+ewudejnBev58JKiRtbbVTF5KDtYhhijzRUhTBKyZgKbhBhGCpuL0LVIE0lZEUiY6voqkKcivoNxIz1V7+2SrvvYZsq17c6xHE6qXeu3+lQyBgMEGnHe60Rq3M5Bo5I/Nup97FNnSRJiCKO9TIOE4dO1k2HM+GPip/FujucJQOQin73h4k4QJBPywWTNOWxCbxfBOw3R/hhTJIk+EGKG0Qsz2aRZdGD1jSFOE7w/Qg3jMlndJI44e0PDhiMe0KHxqyqIpEioasyWVsXJOQkJUJ8t/wgJoxisa4MhcUZSxCxk4TLp8tIQL094tKpCtWCqIMt85554dFZuqbI3N7tT34XRgl39noTEcfACUmSlKwlEol1XeHCagnPjyYpl3lb57e+dZr+ONVFf4Bb++OsiSRJ6TsBURRP1lR34H2iIo5pb3KKpwWH1w9Vlfm1r63R7LlkLY1/+vtCwJGkCTIyN3f7LM9kSdIURZbojwLM8XUxTVL26iNmxv2oK3faIt13vN4+uNMSCXNpSoJEqyvWUxilKFJMreNgjddrq+dhGAormSyqojDyAjKmThRFqKrKbn1IxtJJ05QkEfW/ZajH1vZh7+Pw58M5hqEpvHi2ysgNyVj31+BH4QfRRMAB0HdCXj43w9AJJmfp2bLN0AnIZ010VWZ1IYfjheMEUpm5sqglPs3UstmyzX/8W8/T7HtU8ybWuJY5vH6frPnOrZZYmk0mHKZnAZ2j575Y9MXKz8hzn+IevCDmhTMVhk6IrimPlbz2tOGf/enV+/7tpxu7fPn00mfwbD46FFkmjhNSQAZ+fLXFc2cWP+un9UTIWPfzOL+omFZBP2OoioTjhew0hkhIrC/kkCQJTZUe2miTZWmiBHX9iEbXBVLmKhmqRZt/8i/e5qDtUsrp/KO/9TzVojhAdAYet3d6JGnKymzumBuLLEvYpsZWrU+t7XBjq83W/gBJklhfzHNmuchiNUOlaCJvSxSzBjuNIRlLozPwx+TuFMtQMQ1VCCCSBNcLSZOEJBUNHy+JkYAfvrdHCtza6fG15xfIWBpZS0S7/+SDA3YbDqWcwdrCGWRZNG8bHZc7+z2CKCFOEkxDxfEjTF0BCYpZg++9uT1x+fqFV1cmTd/ZokVv6KNroqkyW7boDQMqRQtdVSYFIIiGwu3dLndrfZodQV7PZ3SePzN1rJzis4ehqyiKNBmqZiwNQ1PojXwOWg6yLHF+tQjA7/3FbX74zh6yLPGd11aYKdrstxwMTSElxfEj9ptDZoo2s2Wbs8vF+xp22/UhW7UB799uYmgK89UMv/zayrEUiWLOJGMKp72RG6FrMq4X0x+FfPeNu/zZG3sM3ABNEYIvSZbEwMOQKWdN6i2HZtdjpz5k4ASoiowig58kpClIKWQtlWrBImvrZNKUjd0eQzdkMArQVBlFljAMlYylEUYJ+nj/rHxIzJ+qyMdITId74VFEccKNrQ5DRxR9F9ZKx26jKTK6Jk9ELoossbnbo5AzMA2V00uFSSGpa8pUPT7FFFN8bPzD37zEze0OH2y2+S//ux/yf/3PvkX5ZxRrOsWnh1JeiC8sQ2XghEhpShA9OBZckqAzcHnfEw2RziAgThI6w5Brd9vIssxec8jf/vlz9J2AveaQvK0zU7K5sFY6di2SZYkgirm7PwBSlmdyqOPsX9NQURQZJUnZbQwxNAVNVTi/WnxkE/RZQ8bUCMIYSZLGYlPpWH3wcfGg88UUj484Trix1WXgBNimyoW18hdKDJMxtYk7fyFrcGqpQLPn4fnxhCh50HYYudEDRV8ASGMhh6ogyTJeEDN0PL731h6yJHF6qcC5lRKWobC52+Pa3TaGpvDtV5Y/0SHmzwJZS8P1hJBduP99cc/eiixhGSquL94PQ79fqD7FZw9TV7hbu+cmaagyt3a6gISiwM1t8buMpfKtl++5xM9XbJFUq0hIErT7Lr/7/dvoikIUx/zkyj5hnFLM6iRpyvW7HfTxNVxVZVRkJAkO2g79UYChKciSIIUkpBSyOu9ttGj3PG5sa3zny6vkxwOYxZks79wUSR+KolDOG+jj9ICMrVEuiH0jSVJGXjB20hV7zVG8db3Olc0WqiLzcy8usjKXA+DMco44TgiiFIgo5gw0VUVTIU4Ssva9a+qjrtdpmkySiCsFk3/2725QazsUsgZ/55fOUR73DJfncrx9sznphxwVcWYs7Vjs+MgN2W+OkCQhMrmz3ycIYyxDmQy0P+x5PS5sUz2WzvJJnk2m+PhIkpSb2x16Q0EqOHnGfhxkLA3n6DVLU7h+ty0e01S5sFqiM/B552aDq3faZC2dxWqGtYUCrZ7Le7dadIY+QRjhjBMp8hmdJEmptUdc2Wjx3Td3mCtn+I/+5mUypsbIDekNfYZuiBfEJIkgFt/c6VLI6uQsnXLeRFUEaaHd9/njH99lY7eLoavMlmx6Iw9DUzE1hULWAElC1xRsUyNjagydEMtQJ9ehOE6ZKdvkbGOSIHL4Ht7Y7rC52yeOU4Iwxg1j/DBh6ISU85Z4/BPv2VHomszN7S4pKQuVDNpjfgY5S0PXFYIxcaP0AFLV4kyWN67VJz+fNInJmBrtnjcWnQmShKmrrMxlafcFEUGRj+8NYRRz7W4H14vIZ3TOrZbYqQ84aDuoisz5leIzOeye4unD4XoHsU60p/gMqKnyR0qO+NH7+9za6aJrCt9+eemBa3TgBGRtnTOWSAPfa4q19srFmXt/X5EZugF7zRFDJ0RV781HsrbGXNmm1fMYDAMSQI0lJF9i5AR0hwGnF/KsL1r0Bj6uH+FFEUoi43gh7b6Prsq4QUwpaxIlCVGUjB2KHZIoZXO/x2AUYugK6/M5mj0P149wvIDtg4EQ8EsSZ1eLvHC2ymzJotYc4XohcZICKZoq8+MPauzW75+NflI4fD9BfGaPu99+GNI05faOSPkwxqTdT5MMN8WjkbG0iRGAJI3Pox8RaZpye7dHu+dhaArn10qPRcY/eT6yDPWYwdzQC0XCTpgwUzSZLdrYpoYsy1SLNpt7PRqdNpoqUx6Ln5Rxn3OukmGrNqDVc3H8iErRYmO3R0oKCVimQhClmAiuwGE/wTIFH0GWIrKaTt42UDWZbt9j5EW0+ptYuko+a3BmKc+PrxzwwWaL9283BXFVEomF/VGIpiqEcUrOUkUPVwI/SMhnNPpOSCmrszib46XzYp/a2O3x4yv7JEnKy+dnJ+nJu42hqAdlibPLxfvOTI+CF0RcvysM8oo5g3MrxU/NdO7k2e1JahrzAST9LzpMXaXTd+kOhdP1m9frbOz2ma/a5Gyd/lAiTMAbn6c9v09vGFCtmDAmZ8dxOk65DJDSBFkRZoVBEDMcnx0sQ2HkR6QJ2KaYB/RGASMnxDZU6m2HztCnOwzQNRVNFSmc6wv5Y27Jsixx7U57TJa+R/qWTyR+H9a+pi5qh8N6xDhhwKDrKtWHfC/2GkN2PmRNbOz2uLHV4f3bTYIoZnUuz/nV0idea5/sTVofYy+dYoqPiisbLd6+UUeWJb56eQFJEgmUuiZTyhl0Bx7x2Jj1wmoJWZaQEeuzkDFwxv1kTZYoH0nFWZ7J8lanQRiJFJ+FqjU2dEjRNJmcrXG3NiAhJWOqFGydIBJikoylEUUp9bZYqwulDL/7vZt0BgEZU+VXv7om+ICh6P0tzmR449oBcZKyWM2gKjLbB4LDeHqpwPu3m2zVBliGwlefn+fdW6KPWcoZ/NJXVh96HTk0c41i8bwsQ+G7b26z1xCJer/02gqFrDG5/9AJuLHdJYoT3CBmbT7/MzuvWpbOyli84XghN7Y6BGFCtWg9sOZ7VsQbh8ha916DJIE9rQOeSZiGiqoq5LOi75B5Bufh37iY57//N8f/7VkTcIBYR4dz4gR45fzso27+1OIkj/OLiumO+DNGkojDTCEjCglFfrwv4YXVEnvNEbe2OyxUMoDEQcvhR+/tT6K7OoOAP/irO/yDv34ZgM29/sSpavtgQLVoHotoH7khtZaDHyW8d6uFIguHmHdvNlmfz7HXGPHC2Spffg5q7SGnlwoMnEAo6rwAVVFYmc/T7LiszuXZqQ9wfOGQ7/qC2K1rCitzBToD4bQQxyk/vlLj7/zSeVRFHscyiuJOUSRqLZe5cpYkSbmz3yNN4bn1Mpv7Pc6vFEGWkBAxh34Ys30gorZcP+at63V++StrAPz6N09jvb7F0A1ZnctSLdqTQWjG0o4Vinf2e4IgPxae2KZKLqPjh/GUfDXFZw5Nlbm4Vuag7aCpMovVDFGSYmoK+ayOLEnjlA2PH7yzJ1T0ccof/NUm//5fu8jybI7t+gAJ4Yo5ciMkSbjdtY84fgIM3ZCDlsPdWp/+KEBXxRq+stnmlQuznF4q0Bv6mLrCbmPE+RXhinFzu8v6YoZqweL9220cL0RBQpYlFqs2GdNAUSX+3q+cJ58x2W8O8cOYrZpPKWui6TK9gYOpqcRJSs7WuHRmht/4uTOAcLBo9TzW5nOkpPSGAV99foG8rRFEycRdc3k2y9pC/mO/5wdtZ+LOJ/bJEcuzucnvZVni4lqZ/daIct6g1nKIk5RSzqDV8ygXTEq5Kbl6iimm+OSgKjL/h3/wZf73/81fst8a8V/+dz/k//KffvOYwG6KZw+VgsW3X1nm9k6Xdt/jr97ZBUmi0XEY9zgnyNji/DpyY+I0IWOoKBJ0hwFxAqYh0+r7/N73b/HKxTmGTojrRWRtnd3GkFOL90iU6XiAk88KhxtVlUhSUCQwNIULayXevdkgY2qU8yYDJ6DecT8SyeJpxfnVonA0zxrj1BKNxeo04eZpQb3jTsgijidEyKvzH/+M96wgY2mcXynR6rlYpspL56rMFCzevtkkCGI6Q5eeEzz0/poM2YzO8kyWrz0/z3u3WgxGLlsHI1RZONXut4b85s+dQpJE8p8si1j1N64d8BvfOPUzfLUfH4epAkGYMFOyvvBD/wtroneUpukzE6P+RUMYJRSzYjhqagp+FJPL6EiSRKsbU8rpOF5MPqsz8u65xv/iq8vIskyz67A4k+HO3qErc8zVOy1sSyOKhDFCZ+BhmxqKLJMCC9XMxPzg0H3eD2MURWK+YgtXTlmi3nJQVZmhE/LujQbffFkMLl48K5yQNnZ7LFSzXD5V5vtv75Kk6STBAoS7v64q5DKiV3G05dkb+lzZaAHCNe+nV2oTEUfONrl0qsLGXg9dFYKy82slhk7AmeUiOVun2XUxdGXcE30wJEkShPY0Zbc+pN51UWSJ3tDnu2/t8Nu/cA6Ab7+yjOdHbOz2WJ3P8de+tj55jNmSLQguToBtamwfiPc5TVO2D0YUsjqeH5GzddYX8kRxiqpIn8h6y9o651aKtHvi85uvPFuius87ml2X3jgp2/Wj+87Yj4OT16yBE957TC9iq9ZnvzUiCBNW5nL0hj6lnMEr56v8zp/cxDJULCOLjBDulQo2r5yvUO941NuOMEaRJJpdl9//y03+s7/zMrd3etTaI5Gqqyls7PZw/YiVmRxRnJC1dJ5bL1MumCxWs/zzP7tBe+Bh6gqtvksYJ2RNDUmSSCVRQ5xeKpK1BMFCkWVUVaaQ1TmzUsQLImxDIWsb5Gz92Pe40XXpDwOqBZMvX5rj9asH6JpMtWgRRQm2qfJzLx0fmOYO10XfG/fpU6I4JUlSjLHzsCJ/OGlB11V+6bUVrm62UVWZl8/P3HebS6cquH7I7Z0ec5UM33r5+HNZqGaQJNErXF3ITVKSXzo/w8Zul3rbYb6cPSZg22uOJoSu/ijgzl6PVk84eEdRwt3aYELOnGKKj4PDGjdJhcDp85ZwcNB2uLXdBSAIYl6/esBvfvP0sducXSmy1xySJOlE2Cwh5ivJkR5LnKTomkLe1ilmDRZnbBRZpGu8dH5mPCeM0TWJKBH7TSGrkSTC/GlpPsdL52a5W+vhhwn5rI7jRWzudlmdy6IpItX07//mJd6/1eTGdofnKiVmizY79T6qJPbMUs5kfSHHXMXmxlaXsysluuOkosN9cbcx5Fe/uk6z62IaQkiXtXUUBXbrD56NflI4+n7OVzKfmBtmZ+DTHicZ+EHMdn3AuZXSJ/LYUzw5lmayKLKE60dUi9bHmol3Bz7t8TVOzO8HnF/98M/2UTV9EMQTY8aMCbahUSoYrI97RL2hPxFgh1GCZej82tfXuH63w1zZZn0hx/WtHpoqiUQdEnRNxXF9Bk6IosrYhkjoEwRJE0WRieMUxwvGSWcZXj43S5yk3K31KecN9hojNEXGNjV+fOWAetshjGI0VcYPI/IZg9lShsWqjBdErM7l6I0CoiSl1nII44TOwCeMUxKE6LPdc1moZvnxlf2Jqd9bN+qcWS5Aem/Nx3HKnf0+L527/yzzMOzWhxMH8u54DX7Swq9DVIsWSSpSXfIZY2pE9TGxWLXpDnIUs+HEbDVjqfSGARdWSxSyBlu1PitzOdp9l9evHbA8k6NatNBlla2DPorsosgpKTKlvMlcyaY9cAVRThLfNVmSUAOJQsFA1RR0VRIGDjmD2ZLJze0+s2WbSsHkL9/Z5edeXERTFTb3elQK5kQUtHPku3ZhtUw5ZxDGKZdPV47N2Q97n8WsQX/kU86bzFcyj03e84KInaNrYq8/EUIdojvwaXZdbm51iJMUVZFp9z0ylvqJJ92vzudRFZHcNVOynjlS9RTPPrwg4q0b9Qnf7ftv73BpXdSZQZgQxSnVguhBZC2N156bxTSEefPl0xWKGYN/+gdXCMOE3/7OWRZnspPaeWUuhyxL3NnrU8jqvHJ+ho29Pu2+x3zZptYa0ulrhElKtWDymz93hp9c3SdJU3796+s0O55Iz1Bkru908PwETZGIk5T3NppcOlXFD0SfbWO3NzkHbNcGJGmKpiqkacpPrtRodsU13/Vj/s0P7k4EAJ2Bz/u3m7z23PwD3x9Vkbm4XuKg7YhzjxeODWjAcUPevF7nF19dmdz+bm1ANB7SHrQcKnnzMzFf2B6LWEH0pE4tFnCs8Jmu+VbmcqiqjB/EVArmVMz9jMLQFC6ulah3XMFhfAbnUEP3/rNwu92mXC5/Bs/moyM+QSjZqQ956fzcZ/Rspvi4mO6IPwNsHwzYORhQzBucXymhqcrE3VKSHi/qT9cU1hfyDJ1g4kgBwmXuEGGUsH0w4L1bDdH8P2HLmR75+Y0Parx+7YAkTXn+7CxxnDB0I0iPO22kqRCd6KpCoqcEoUKpYPKNxUVShHq30/Nw/IChG7I0m8PQBImsUjCI4hRJEoPckRfSHXpoisLdWo9236fT90hSUThJkjSJQwNEE6PvEyUJkiQSCS6ulynlTTp9j6t3WjS7Dl4g0j76jo9lKbS7PilwfqWIZWjj95jJ//eGPpu7PWxLExHx4z+ZpCntgYcfROw1htSaQy6drvDSuXtKtTBKqLVG92LcJZj5GI2t3tCfxDXPlqbD2S8ygiDi3dtN4jjludOVieMliGbG6aUC7b5Ir9A0GUNXmS+LtSpLEkl0fI0n4zhw148Iw5ggSugNPCRJwjZEo2TkhozckKEboqkSG7t9dhsD+sOAVtdBkiX8KGGmaOH6Ea9fq3Fts83qfI5S3mL7YIAswbnlIvmMzm5zRHvgEsWCHCIjoln/1i+cITMmkGzsdidRiNmxijxrahRyNi9fLEziFX/5y2tossRb1+vUWkMGTkjO1lmby5PMpizP5pgpWbR63mR/XZzJ8Bdv79If+SxWM+Qsne36gJEXsTaf4+J6+ZiQbfJeJQlXNtsMRwGnlgrH9qE4SYQz6XhYceiyaBrqZFhv6J1jkc9H994oFvdP0+P3/6g4dF72g5hK0ZoSuKeY4guEUs7kv/5Pvs5//t/8BXf2+/wX/+Sv+K/+0defyHVriqcPpZzBqUXhINPouBMyQRLEJKnQIEuSaCRu1YYkaUrG0hikPkmaMnQC/DAhiSOCICKMYtx393C9iJX5LKfT+4llB22HRkdcrw1NEY2+NEX8NUGUWp7LoanO5D7pw/3+nyoEYUytJdyyF6oPH/xoqvKJCD+n+HRw8vv2bHz7Pjm4fkRv5GMZKnPlDHGcMF/N8EICt3Y6bNZ6ROGD3xVJAlmVmS2YLFZt3r/dwjIU5ktFNmsjIj8ek5o0Zoo2ui7z+tU6YZxg6gpp8vS/20GUCAe9MObiWolizjw2CH6WEScpB60RYZwwW7Ify7X0JA57R1N89riz32O/MaJStI6Rl9Jxyk4ha5AkKfutIUMnRJIlkiRlu9anNwqZLdt0+h7/+i9uo6kyP//yEt95TQwUm12HW1s9hl6IIkmANHGVd7yI3tBjuz7E1BWWqtZELNHuezh+yNAJ0VQZWRLk6ThJGTkhtbaD44dYusps2eLf/nCTKE752gsL6JqCoSlYhkK5YPG3fv7s5DX9zh9f49ZOlwvrRWxD4/UPaiiyzLdeWaLRcXG8kJNdz6N7fZIK0sOhYM8yVb504bhrVD7z4GHpwAlo9zxMQyVOxc9hlBDFCWEU4yUpqiwThjE//aBGkggCyZcvzXNhrUzW1gijmFpLnHvmKxnmyjZzZZswiicijvGTRpYklHEP0zQ++V5eKTc1hXha8VGvkI4Xjt0vFWaKFooskyQxd/b6XL3botYcMVuyx6KghN36iBtbbWxTY2k2y9nVErIsMxqJXniawvpCnpfOzXL1TpN/+We3yGZ04iQlToTbbYokel0bLRpdl1bPZavWR0L0ApNUuN7KkiB73Nrtsp4UmC9niKKETs8jiGI0VUGVoTcSbvMrcznmKxlythB1SJIwcHlcEtRhv23gBCiKzPNnKoTRvXd2oWKz3xhimepkHc+VbEp5k1LepN52aPeFuczACdjc7zFXsTm9VESRpQ/twVUK1kSc9jC8enGeVy/Oi8SSxvDYNbnT9yYO1ieJj8+tV3hu/QFijKf/aDXF5wQna9yj18fZkvWpOa4/CPWOg+uJZK1PqmflBRGbez3CKGahkmXgBvy///X7zJRsfu1rq6iqcAVfG58lOgOPzDgtCESdBKKWePt6nY3dHnNFk0bPR5IkfuHVZSGs2u/T6npIskQuYxJEMa4XYekaKYf9mYh6Z0Q1bzGcCYWp1jgFTFUUeiMPSClkDH7lq2vMlESaWqPjkCSQsYTDvx/GyIrMxbUinb7PoWM5pPhBRGfg8+a1A95VGhRzJs+tV2gPPIIwodYSyWpZS0OWRTLTUbR7Lj94bx9FlibnsVpzxPWtzlh8NsvzpyuP7J9oqsxM0eT9jTaNrsvzp6uEUfyx55npied64ke8IJoQ7BYqmc9VKuzTCFl+MjHyo/puD7rkdQYe/WFAxtKOGcpdvdOiMxYul/Im5YKJpau8d7uJH8acWymSsTTevn7A0PFZKNuoqoIkwdpsHk1VaPVc3r7ZYPdgSCGnY2gqWVtjfaFAMSvWb63lIkuwUM3SH/kM3YjVORXIstcc4vmiFzJ0A+IkRZYPXa0lLp2uTPaQctHkh+/us1sfUCmY1DsOUZzghTGyLM5XjMW0EhKSLNITgyjB8UNsS8MwVPaaI4IwIkklZEVCBkhS6h1Bvj+96NEd+li6OhGObux1kRAi3VLeEOagT3i+SIGtgwGOF1ItWBPBaZKk1D5mD+JBmC3ZzJZsGh2Xu/v9cf2r35ttFj4bMuyzCFVVuLAmyIROEJG1hAGEIsHSXI6sqRFGCe2+h2WoVAoWlYKoJ0t5g8WZBa5sNGn1fEaOECbphsygFtAbhfhhhKYIIaPjhThehKbJzJdMqmUD29DIZy0ypkvG1OgMPPaaQ/7wB5vkMwavXZydcHAO0R34jNyAMI6xDI1q2ZyIeYZuSKMjrmHFrM7ybBbbfDwh363tDo2Oy3w1c5/Z1MnrINzfX9Y1hXLeZLZkP/a5yA9jDlojZFl6pMhEkaVJ3+WLjk7fE2cUW/vUxGJTPBiBH9HoukiydF/yZArMlm1KhQRt3NOaq2QmRm6WKlEpmoRhQi6j0+q6vHn9AMvUWKhmxbpBpMzIssLl09XJY9e7LrOVDEkqTGgLOX1izlAtWHzvjR1++kENy9C4uFYQM8wgEkLrFGqtEf1RwPJMhmLe4vZulzBKWKiIa3934IMkkSYnnO9SIa7s9D2KOYMLa0VqrdFDrzO2qU24PTe2RDqVG4g9kFSIJEZuSD57//Xp5A5z2OfRNJn5cob+KKA39O8778CDZxmPi5N/V1WlT22uefI1fVoCkSfpIX0YDlNpwzGfbWrQ/bNFZ+Dx3q0GuYzBXMlG0acCxs8C4YmtMTq5V07xM8Mnwf+eijg+ZdRaI7731o64wu5CFKeszuXYGg8B1xbyT9RAXZnLcXO7S5KkzJQsLq0VubM/oNF1GXkBF1bzvHOzyciLOLdSFLGgKSzNZieDiysbTf7HP7tJmoqGWBgJstjADZFSMA0NRVGYq9gctB1+8O4eAyfg/dtNSnkhzLg1nydJhPNVd+jR7nlUCib9Ucj51RKSLFEpWuw3RuSyOu2eixenHAQuy7NZ/uqdfWqtEYausLnbo1q0KOXNSdElyxJhmNAZeNzZ7yMjkSSwfTDk219aYqsmmg3b9SFJAgPHZ3Uux7/809ukqYg9fuPqAV97fp52P2CubFNrj5gpmLx7u0Xe1smMo7ourpe5vdNlrz6i2XXZDSL6TsjZpQJbB0MUSeb5s+Igeu1uG3fsBhuECWsLeVpdjxfOVtHUJ2smDpyA61udyekrTZmIe6b44uHP39yZOMbs1of8zW+fQT3yner0vYnbFIBtqThuJJqWC3nKeZOvXp7jx1cOkCX4ynPztPsee80RcSTWUpqKRkKlYGLqCgdth+7Ap95xJo26oRMydHyGbogsy3h+xIXVIv/Dv73KT64eIEkS17Y6lLKGIJE6Ibal0uop7I+bt4oi4/oxhgE5W+OPfnSXasHCDSJcP0JVZOIkwTJU8Te9iMunK+w1Rkh5eOncDIWswZ+/sc32wWCSjHFqIU+943JqMc9B2+HGdoe9xlAMwLcT/vz1HUZuiBdE/CQSLlitnmhcXb/bwQ1ivvzc3H177hvX6ly/2wFgY6/Hr351DctUcT1R7FYLFrWWQ3fo88KZ6n33X57NMnRDoiihmDMoHimMb2x1JqkenYHPi2fvv/+TYOtgwMGYXNLoujx/pvKFdxueYoovEuYrGf7r/+Qb/Bf/5K+4vdPj//jf/hX/5//lN6aOVs8oXD/i6p02f/CXG9zY7uL6IXEMsizIjCCOiWkKQQRBJITcfhBjaDJ+kCDJ935vJxJh7NHoOJi6ihfGnF8pHXOh2msM2akPafc96h2HmaJFxtbua8gtVDL0hj6eH2M/I2LjNE25OolrF2ftS6emrrbPImZLNu2eh+NFmMajXdc/b4jihKt32hOnp5Eb4vgRd/b77DWG3Nrp0mw7eGH8wJl9mgrjgc39Pjv1IYauIMnShFgURDFBKFEtWGzs9yjlTHRNpjv08YL4mOPU04rvv7lDrSWcsrYPBvzWt06jf07Ow5t7vYlzaavr8eK56jRC+BnFzsGAv3x7D4Dbuz3iJJmQe+crGbpDH9eLsE2F7tCnMU7Y3a4N2GuPYGxA8rtBzNx4D6x3HP7+b4jk3WLORFUlRm6ILEt85dIcm7t9/ChmrmTykw96BFECksQHdzr81vh5mboYfg6dEEWRyFoa7b4/Selq94URxFAN+OkHIoEX4K1rByiqgiJLXLvbIUngK5eFu93v/PE1/u2P7gKM+5UJyvh+3ZE/MW9AEj3N7YMBiiLxpYv3HKHmyjbri3nu7PVRFIlXLzxe7LfjhVy7056Q/67daVNrj0hTIQSRZAnPjTB1QRY5rPtv7XQ5s1RAlmUO2iLNRB8bPvSGPs+fET1ATVVYms2yWx8iSbA8m+PqnRZRnI7PY9Ph1BcJ1aJFq+cydEIMTXmslLogjPlgsz0xA9rc66EqMhu7PbHnDzyCMKbecQGJC7rM5l6X7lA4JOuawupcDlmWef1mk97YQMRxQ1Lg7RsNgjBBboprfhzFRCiUTNGze/dWk/3GiNt7PXRVZugE5LM6cQIywjQmiBJmSxbbtQG+H5GS4ocxnh+h6zK2ZdEZjAhV0VsceeFE9DR0Qp479fgOdTNFi43dHrWWSBvOZ0y8IGLkhmQslSSVOGg77DWHZC2dfEb09V46W6Xecdk+GKAqEu/cbBBECYWMwds3GkiSxNnl4ifag9s8kpjR6nqszOfY3O0BcNAWt3kcUtJ8Vez5fhCTsTTWx7OgZtdFUaZkryk+HZy8PkZx8ok7Tj8MtdaIrZqYfR50HC6tlz8Rou6P36/RGwWM3JCDtoOuylimztU7HUZeyN/95QvHbl/Mih59d+CjKjIrY9H3YS0xckL+6EaD2aJJxtb5F392k9mSxd3agIypIo+TCSQJynnhzO+HEbapMXJ9bu/0MDSFVtdl5EXMlkzc/z97/xlsaZ7f92GfJ4eT482hc5y8O2lnd4EFiAUBUKbBMq2SLIksQzaVSqpyWUWFouiibFGsMlwuWSyZsmiXZQWKFCVBEEEQIABhw+wOF7uzE3o6d9+++d6Tw5ODX/zPffreTtMTemZ653zfdN97Tz7PP/1+3+CF7PVHJHFK3tL5gx/d4dfeOE4QxfRHPkmSoqsS3ZHH2I1RlUDsA7t7DJ2Q4djHDSLSRNT9e0OfK2sxlYJBkqZs74/I53TGbki5oKPIEt2hx1wjzwun7+6dgiDmv/y9K4wn8+HVOz1qJZMPbrfZ3B9TsDWurHXZfmGBRlnUegbj4IGpQL/31jrDsUiMWtsasDJfzPqZB6ZXHxWVgkkpL9KtNFWkqx8gTlIu3+5kjsNjN8zIy1N8/kiSo3W3e/cBlcKhcafKFGyda3d62d/TFBoVi3ev7/PTay0G44ChG/D8qSbVokFv6LE7ORfd2R6iGxKjcUQpZ7DTdlhs5njtmQV0XcHxIn7vrTu4nhB4mbrC6nyJRsXiyp0uYzdkc29EtWgwciMG44A4TtFUmWsbPbojn8EoQJJSRk6IZSgEUcJ+10WRZU4slnn76h4vX5hjsZ7n7/3+VUauEL3f3OyTAqoq0xn4LM/kUGQFL4jxghhLVxi7EZt7Q7bbDpapsbV/i5PLZVpdhxQJLwip1vMMxgH7PRdFkbl2p8fVtR5LzQLrewNSYLGR591rbWRZwjZUtlvjifj9o+0fOgOPW1t9kkSY/710VswZN59gDWKv43B7ewAIQ6FCTs/mEyEMq03dtx8DK7NFrm8IXtCrF+a4vS14P2dXK5kZZBjFdCcJRwvNHBISKSmVgsl+z2FvYugkSzIJYzb3hkRRjBOIudblSFwVXpgQRg6SotKRxHllea7A2nafwTik3fPYS1xsQ2XshXzrUBKULEOr77C5N6Y/FuLrYs5gbWvAt76yxOb+mK39EYNxQKVgMFv3ePZk/YEGjIdx9U6Xt97fAUSN5ZsvLjJXz7HdEgKLB5mZlPMGlaLB8YUSV+50KeZ0VueLNB6zz5EkKZdvdfDDu3Pe2dXpmvQo9IY+1yZclo9yZprik0NXZZwgpj3wkSYmxNWiSWfgoSoyL1+Y5eZWH8+PkU0xR/z06j4g1oJLN1t0hmKOvrreAaTMcGFtq0+jYuMFcSayNXQlO+M+f7rB7/1wnShOqBVMrq13Gbuil/mjyzv84x+tk8Qp3WFAb+SiqSpBlKAqEkkcc2VNpOXsdR1OLpbZ64qUUdePWJkr0h2K93RsvohtaWztj0VKV0Xhh5d2iOOU7tDn5uaANBXn/w9bZ2YqNmGcMHaFyY1piDoNiDVroZHHCyLiOKVetigcOs+EUcwHtztZala772XpmyBEZYf7qd99eyNL/bizO+TPfoRexmKzwFW3SxQnVIoG5Sdk6hiER9+TH8QfOXn288Dt7UGWztLquY+1nkzx6aDTd/m7//jaJOkOBmP/iOHT04AzJ+9f05+2FI4HYez4H36jKT51fFr87+np6Aljv+sckUi2ei7PnKjTKFsgSR85graUN3jxTDNLrwD4N/+5r/KTy9u8c72Fpgl1Ybvn8urFOfKWTpIk6JqCF0SYusr1zT5pKty5dF0himPOrVbxgxBkBV2VefZkHdNQ+eF724CYdOMkZewKVWx36KHIMoosIkg1VaZZtVmZVXn5/AxnjwkXl7XtAdstBylFxAinCcgy7b5LECUkacpMzeb0Upnl2VI2ycexIHifmGzUwlDcNohitltikzNyIpplizhNUWRRjHa8EEmS0FWZBOgOfNJUpHSQQqsviqWuH2GZKvs9l9eLJuWzM/z0WouZqnDFURUZN4gxDZWbW33OTQqYBxswz4/xo1gUq3QhhtHUj1aMHjnhkWtj6ARTEceXGAcR0gCOHzH2wiNOVSM3PHL7gq1zbqWaud4B/LlvnebnX1xAUVRu7wwYjgPCMKEz9LFMDV2Vma3lqBQNFpt5rq33GLo+USwKd5YhHKs0VWF11sLxI8oFk7EXcXN7QBKnE7JoytANWZwpoCoyYzek3sgzdENsXeXCMZON/QHH54u0+gF+EDP2Q/qTpgkSNMsWz5xsEEYhYZBimhonFkrM1m1W58oAdPsecZyQJCmyLFEq6KQTt0CAVtfFD2IsQ8IPE3Y7Y0xdJYhi/CAhGjhEsXDii+KETt8lilM09ei8u9dx8IIIXRVu5L2xEGsEYczbV+/ezvPjB97fNjVeON3I4lgPkKZp1jwGceCJ4uQTHR4OP16SpLheNBVxTDHFlwyrc0X+g3/5Df7d/+T7rO8O+cv/j+/y7/+l12lO9xBPHRwvJElSdruOcCJMJWQ5xTZVoighjhKCBxgmCOdcmTgRaVKqJpEm0Cib9EYBqiKTs1QMTWaunhdrYxgDKe2BR5SI6OJaSbhg2YZ23/qmawrPnKhPfv90EIijOMkaySDWzMdJPPykSFNBdNMm5NYpPjlURebiiTrhpJj/WbrGfp6Ik5T+KCAMY5LJeb079EmShN6ENCnLErIsY2iQxHDoks9gKLI4aycxigyqppAkKeW8ThTFxEnCTM0SST5BxIXjdU5FEaosH2lIfFFxQDAAsb8eOAH1n5H98MgJsv9HcYLnR1N3yqcU+5MG0gHavbvXrabKPDOZ48Io4p3rbUGAk+D9Wy1kKZkk1YpG4IGIo3XoMTw/4vRyldX5IoosYxsav/bGMdwg5s13tnj3ZgcjEcm4/XGAF0T4QUwYJczX88RJgiwJsvTSbI4wTGn3XJZncgRxiqWrvHejlZEb2gOfcl5HURU0GTb2h1z0RFPj+kZPOP+nkCYpXphQK4nrdjgOSJKUeLL3OL1c4bWLs8iyfMS0AuCN5xZYnS+SN7XHdqUbueER9+ahI5xl4zQhilJef2YeTRU1wh99sIehibmiNwoIwgTTEAYTvaGfNVgdLyJO0mxNX2jkma3aIEnc2uyzMlskjGMMTcX1oyN1mzhOCCdJZ1+WtevLBEWWOH+sRhQnKPLj7U9cP7qb5ozoCzQqFmNXJFqHUYwiyeRMlZyt0h36yJLEfD1PFCeZi/1oJOp7lqGQpilRkuIF0USABUkqIUkyF09UqZZMnjle573bQnDl+CGKLCHLoChibsmZKpauTkxZRM0/CBNafRdZlnnhdIMoSvFC4aQ/W7FJUoliXsfxImxD9B/6I1+4TZrakTF97/44jBKR9q2KM0iSiNrYgYv3zIQ4vdUe4YfxxIgmydyg/TBmOFkj7YmzvhrFFHM6fhBnhMDDtdODOe/A1GrkBnhBTP0xSUSH628HNcV7//44hCRDU3j2ZP1IzfD4Qonl2QLyoZruFFN8mhi70T3rY/DwG3/KODx20kTUIGzzfuOIx8HB3KFrCrvdMY2yRaVosDvpDx5gc2/0wPsemy8hSYJoFU4ISQdniZytoSoSlaKFH8WM3ABp0qzzgpjFZoHlZoFiziCf0zBUiUrJZH1nhKoownUfyNs6eVunkNNYaBRJ0oFwyUdipz3GmfQATyyUSNKUOzsDVmYFIUqWoDcIUBQJ2xQ1nCBKqBYMvCDmxmYPSZKI4hRDV0CClbkC6zsjgiDh7EoFXVd45YLYWx1g4AaZgANguz2eGPAF2WcTJQm3N/vUSyKlpTv0CCcJTHGSEkYxUpoyHIt0AoB232W+mRduxdzfr3pcyLLEmZXqA9fTMIwzAQeIvd0UXxyE99Tdhu7RuUWSJE4vV7LvduuesTpyAxoVKzsrBWFMmqR0Bi7lvM5O28muhyCKaQ8DCpbO8myRmZrNr71+nJmJiLY79IgmqV05S0NRJFbnCjhehCKnbLdG+H7IwJFYmS3iBzG2qbG1P2KmatMf+ViGwmAcoGvCkbyY0/GCWIy3CQH+2FwBXVcZexFhLLgQYRAxW8/jhzG6KhNGKS9eqHN9c0CzbBEmCYaqcHtnSM7SEMnHKVu7Q04vl0mRkCUo5AwaZZPvv7tNkqSMXCEULuV16tUmcZRgmxq3toQQYmmmgAS8eKb5kefUwShgtmqTIpIF2wNxznySNYh7155W1518tqK3OfbCqYjjMVAuHOUFvXJhVvB+JnWwOE4wdZXVuSJpKnrpz59qEMQpl2622NofUSkajN1QmLhKEIQB8YekuSRJSilvkLNU8qbG6eUKnh8hSY44s8ji9bh+zNiLkGWJ4cgn8CNxlonEd5wkk7GewmZrnHF0ANwJQdr14wf2zcNI3E/XFPa6zpG/7XbGfOXcLPP13BGexGFIksSppQrH5kv80isrxGn6kfrpQRRnAg74bPdTTyvu/Ywe98w0xSeH40WU8wb5YxpIEqoicXKpnK3JG3sjvv3KCt2BR6VocnNzgOsHeF5MIa+z23WRZSAFN0hRJVFDkCRR4zy7WiOZ1Bm9IOK1Z+ZwA1EbSJKUX3tjlTBOUBWFD261s7F2805vMjeJ1+kGCRdPVBj7IaYq0x+FFHMacQqaLLHfdZmp2pnZnTIxbACQFYlvPbsw4fTI/Bf/8DK1okWSJMiyzMbeMBMePGydGTgBuirjhzEvnmkSRDGqIuH6MTnz7jwkSUxqtzG5iTmN4x3spdNM7ABifRPrvcDICWkeChhqHeplBB+xl5G3NJ49WcMLY3Km9pFrjQf7+gMO1MPg+tGR9zR6Svbgh+ecR60nU3z62Ok4GbcXyMxenib8zpvX7/vde+t7XFx6PHOpLyr+4Eeb/DO/fPHzfhlfOnxa/O/p6egJY7aW453rraxoOlsTX9IniYCVZQkZsciGUcLl2x1GXkxvHFEpKKiKEFTsdYXLgTNx76yXLEp5nZNzBX77Ox5hJEhNL5+bIQhj2gOxyK3MFrINzWwtx7X1HgVbFwURLSb0RAKFLEmTZojMcJzQ7rnEiVDBxjfbrMzk+J++d4tW3xWN1KIpon0BKRWN5HLeACnllQtzIEExZ2Sfz0FSRiVvZE0sQ1eYb+RY2x5SyuuMvRBFURg5IRKCrJ0Cbhhh6SrVokF3GFDKGTheRKNscPWOcAoJoiRz4JFlieXZAu2+2GSN3AjbENHsURTz06v7nFmpZK8JUtp9F1mSqBYNLOOjT+SFnI4k3Y0LLuam5IwvMxplK9vc5O27Ud8HKOb0TMB08PO988j67pCNvSGb+2OSOCVOk4njjYo3adrud11MQ2VtZ8B2e8xu22V9d0CcpMRJRNHWKBcMFFmioIrx2O67OF5Ie+CKBqwis9jMYekKI1eiUjDRFBlNlRk4AZIi0azkMHQdXRUktHASSbjfddE1mY3dPnd2hniTou9Xzs2wNFugVrq7kDWrNiMvZHN/xNgJGbsB5yeCqv2uw9gLafWER4gQiaV0Rx5xnKKrMo1KXsT+qYIg0qza9xFR+yOfm5s91vfGGJrMqeVK5kClawoFW88OAJapoioPPuBIkwPxvb8r5vSsQSLu/8mIsMWJ2xaI5rttTWMBp5jiy4ilmQL/4b8qhBzb7TF/+W8KIcd8/bNxVpzi04FtqGy1xpi6QhAmpFJKKkyzkRX5SOP6MCRg5IlGJ0AYigbNXs9DThNSSSaIUupljVJeZ3N/xJ3dIZt7Q7E/SFJaPVfsA3IucZJmbtpHnkeS7hMufpGhKnKWpAVizXzSBMp4kprgeELofna1mpHNpvjkeFoERJ8GHC/k8loXPxCpG1EkmiL1ksHN7SHbrTHDsUjLi5OEOBZkngchTifGCImYK9RQnNldP0JCQlVVQGKv61C0dRRZppQ3kCRxDvmio1G1MqKWbagU8z87aVSlvJGlMwoXsOl88rRitmbz/q12Vrg9qAUehqbKKLJ6xJG0WbG5vjEp+Eop9bJx6DHvOh2bEwOGg7JuMa+jKAp5S+HMSpk4SQjCRIxrS+O/+6PrxHFKo2xSKZoTcqFo5v3w3R2SVKRo7nQcPD9GUSTq5btjq1o02O8JUwRFlphvFvj7f3gDAEMTxg53a1t3m4q1oinmtDjB0BXOrFYf6jb3X//eFda2B8gSfPu1VZ492Xjg7Q6jYOuizjjZE+m6xJU7XdIUaiUT27h7Bp+v5XGDaPK6DHRN/F6R5SOk7pyl3SfKPKi9aKrM7Z0BcZxiGgrnDrlwiqQP4VpXsHXOrFSm5OyfUXyUuo49qQNFsVibZ2o2w3FAd+TjBxH9kY8syQRxTK1sUS0Y+GFCGAkTkCCMM5JFpWDQmtTeDU2hXrIxdZFULcvppOak4ocJ63tj6iUDzxfOmElnTJrKRLEgTbl+RN7UyNnqZC4SNfdmxSZnhcLZUgfb0qiVDHY7LgpifBdsMS/5QcwHa22ub/SwDIU/9eoqRVsnjhMurwkHbFUV42unMyadELbiJGW34zDfyGGbGqW8wa2dIf/k0ja3NweMnIAYUGWJM8shs3UbQ1Mo5nR6Q1+YRu0OiGNhtnRqqZKJqYo5ncFoUoPL5kn40Qc7/OGP1klSOLVc5td/7tSHfnfFvH5kTW5ULPqjuwSBj1LHf1DNcJq0NcWTRGGStnmwPn6WfadiXqczEMZMG/sTYdbA4+xq9SMRJw96m6Ri7pyv5bi+0UeVZWarFr3RXWLRyj2O9Gs7A5FkLYn6ydXJ3mB1rkijYrG5P0KWJEp5A8cP6Q48BuMAuZZj7IbMN0TqdpIkfHC7PRFWmBTyOvLEmG+mamMaKhKC2BYlMTc2+/RGPmGcoioSzYrN7/3oDqszBfwoYb/j4AYx+12HcsHEMlSqJYPr6z38ICKIU/KWRncUoCoSs7U8azuDbP44sVjG0FTGbsjIFeKPU8uVIwIOgEpeP9KTWJoRYuFywWDohGiKJFyYFZlbW30URUaWJH56rcViM89Wa0wUCWJ8SpqlIM5UbXRV/tT6mQ+aB3VNyZydP43nmOLTha7KWIaaEbAf9v0cfLfFnM6m0C8cuf1MNcfW/hhZht7IpzoO2GqNmW/k2G6JHqmhK5QKBfpDn6ETiMTRnT4xKfP1PLWSOTGpTBi5AbahcWtryMpcgf/+f76ZpQ8uzOTZbo35uReXCCeiiJEXUi2ZXF8XxNI4TjE1KevPDkYBpqGiDxVubw2ZadhICIG644ZUSibeRCzq+hHlgs5PruwzdAOur/fIWRqWoXJqqcwHt7sT0nrIbNWmPfCplywURWK2ZgsSrRvSGfpizCUpURLT6/pISASTeo4sS5N5S/9YZ4yZms1Oe4yEqDsfEIqeZA2ilDeyVDMkmKnb9AbCGViWpSOE1ykejcO8ICGcvjt/KoqMF0Tc3BQpcpWigaELM5eNvZEwL9A0dH3yeUvSfWTdByFFYn1nSLmgM1vL8bs/uM3a9pA0SQknphCampAzVQYjj//m96/iBTGaKvP8mQa6ppC3NIJQCKMURWJlpsjazgDb1OiPfOyJENw277/uDid7LTTzzNfz3J4ImpBgbtIHexy+larIoMBHveJ0VcE0FDxfrEmlJ+SA/7OEB3FZpvhsYJvqEU5LoyzqXAdrsqpIvPX+jhAragqWLvOdd4SIMGdq6JpEqydMkW1LIUwk3HEEEiw0cqJnOVl/KgWDd2+0CEJhvGCbGq4foSoTnmLZYjARAZw9Vmdtd5SdSyoFIdoMIiEuObNSYnPfIUnEPuP0SpnttjDJrhR0aiUz64EcXE8HZ4pTi2XevdHO9sKnV+4qJx60znz37U1ubw+QJHjuZANJIkvlna0ZDMeT84UkRCDvXG+RJCmVosHICXj/poiXObtaua/OM3LvkndL+aPXfaN8t5dhGUqWovQ4GDoBV9bEXqKY1zm99Pi1Rs+P+OB2hzBKsEyVc6vVh9Yh7q1dFfNPx9gt5Q32OmL/pk72qVN8Nlho2Biqgh/Fk58/ekLj540//dpJ/ubfe//I7552AQfAr3599fN+CV9KFHL6gXYf+Ph7oOks9oTRqNj8wleXWd8dUitZHF/4dGOn9nuOSJUwNJ45UcMLYk4slji3WuNPLu/CxLnP9UXk6EGz4dxKlb2uQ97WqZcsdF0QsyVgeaaQudauzBWRZYlrd7pi4+eG5AyV44slVmaLtPoutzb7hJFw6zI0lRQJx4v4wXu7uH6MOnnckRdSyhnIKeiGjB2LImUpb5AzVc4sV45cyGdWKux1HGYnB/sgijm9UqVo65i6yvrukJfOzdIbeNiGgq4pNKsWfphQL5vM1XOcPVbDUBWiJOX8sSq9oc9XziYM3ABDU480pX/plRVKtk5n6GFqMvt9D1WWWJwpEsUJW61R9pqGjk8xb5KSUpq4c+Stj9Z8yVsaZ1fFa8pZGtXizw75ZIqPjm+8uMQHt9rEScrZlfJ9rpSlvMGZlQqDcUDB1ikXjhYLwklKzXAcTtwwJGaqFoamMN/I4/oh19f7pKQsNAr0hsKpO29rzNby5EwFw1Cply1OLpYZOSF+KNw637/ZoVkRTQw3iDixWOabLyxQyJkEYcxMzcb3Iwp5neEoQNcVVmaKVEsm3aFHkqTsd11ubPRF03aSetHqu1iGRt5SubM75E+9snLE/ff1Z+eIkoT3brQo5DR0VaE/Cphv5Gj1Xc6uCKLkVmvMqcUyvZGH4wsX4VrR4qVzDbbbLsOxz8pckRMTpf5hXLrZplK0SFLh7Lc8UzhSiDm9XGZ3kqjUrNofmQx6aunu/RuVj37/e7E0U8gaGbWSiaFN1eRTTPFlxWwtx1//V97g3/1Pvsfm/ph/6z/+Lv/+X/oaSzMfLU59is8PbhBTL5k8f2oGWZLoDD1ypkreNpCA7sBjv++SpuLcJ1yhhVObLElYhiJI2m6IqkhoijIhOAkH62dPNZiv5/jxlX3GTpA1HBplk1tbfRaaeTRZZuSGBEH02BG+X1RIksTZlapIQpREJPKTRqvv4UxEI2GUsN0af+rnvSm+HDggyiiyjCyBrsmUCwadyZl0rmrjhxHVSRP0zvYAP4oZjsMj7nnVgo6mysRxghsmJLEQdTfKJjnTIIxjji8UKRcsGmWLYs7A8ULm6jkqRRPb/OI30b/+3AIf3G7jhzFnV6roP0Nin5XZIpahEsUJjYo9JXg+xZir5/n5l5bY2h9RL1sPjaCXZZlvv7rCB7c6SJIQRIzckLETUi4Y/NxXljE04cz82sX57H6qInPuWJVWTxgtNCt3RQilvMW3X1nm3RttinkdS1cygsZ+z+PkUhldU7EMcQ4v5HSSBFwvpFowCKwE01A5t1pDkYVZim3K/OjSPt2RT97U2GyNWGqIPefICZmt5Rg7IYW8xjefX6AzCtAUhZfOzbDXGeMFMTlLxfMjeADx4cZGj7VtQchIUvjeT7ceS8RhGaIJ2Rl42KbKra0eMxWLKIF60RD1TYQw4/kzzUM1lyphFGf1lbytZU2/RzkkRXFCoyzqjnlLxQtiipO/be2Pss956AR0h97UcXIKNFXh/LEqrb6LrirUyyZ/9ONNTi9XKecNPrjdIWeqyIpMHKUszBRJga29EY2KzepciY29EZWiyb/5z77A3/z775Gm8PUXFrBNlZW5HO9c75C3dC4erzJyRWqXoaksNHKkSLS6DkvNPAMnZDjyaPU9ynkD29KpFQ1ef6aI60fMN/OcW6mSJPDB7TZhnHJ6qUwK3NkZkKaiJmWbGntdh8u3Oxl5wvVjLt1s8+rFOdoDLzMfiaKEd67v06zYjN2QrdaY1fkis7UcMmLvLkuwvjOAVCJKUsI4RddkTF0lShKKtoEfxszWcmiqzNvX9jixUMbzI9wg4pkTNVbnxEg8tVRhtzMmTYUo7qAG9+a72xwEoly702O7NcqIXw/D6lwR29QIo5h62cLUVc6syA+ty04xxRcJ5qH10ZrU+z8rNCs2iixxe3tAs2JNkkETdtsOK3PFD3+ACdZ3h1nze7ft8O3XjjFzdY+xF/HCqQadgcuPL+/RrNr84ssr2f38MBYCDoAUfvDeNpVJ3+329oBffHmJetnED2O+9twsP3x/DwmJhWYBVRGO/YvNPDNVm9958xamriLLCa4fkrM1ahWTetFivpljaaYoxPi3O4RhimWOUVSZ4TgkimNWZ4sMxwGpBPWySbvvcWa5wnwtR2/k8+KZJn4YoygyO60RIyfk9HKFOE1JkpRnT9bZ6zjs91xW5oqcWamysTuk1XRIyaOrcibMPQxFUfhnv32OH7y/jarIvPbsPO2uw5nlCje3enT7PrWyxWIzz05b9JePz5cyslp5slcbOQHVooU6eY6l2QJnliv0x8ET62fKssT5Y1X2ui6KLGVJaVN8MSBJEmdXBbdAlqQPTYUu2DpnV6r0Rz55S8vG4oXjNQxd5t3rbeYbeSxDo2hrnDtWZbbm4vohp5YqWKbG+zdaXF7rsNgoIEsyG3sjZqs5TF3l26+s8Pa1PQxNoWBrGLrK5dvtjCiqKBIjJyRv67h+xLlVsVc6k1S4szOgYOv4QYRpqNzY6DOvq4zGPqkkoUgS8zWbJE3ZbTl85UyDa5sDIKVatlAlCcePkCWJOE4Y+8LcJWepSEjMVm2OL5Q4t1LlT67sUcrpnF6pstUaYRkqz59u0uo5NCoWIzeHZWnUSxaVgiCrLjYKQuQy9Hnp7AyaKotz38dM4n7mRB1LV+gOfZZni9k55UnWIOplC0WWGLnibFuwhUDWCyJqJfMjCfumeDiSJEXTxPVxYGKwuT9GV2UWmwXBu5FKvPbMHJfvdBiOA1w/ZDgOiJIUUiHUlmUFGQiSmJwp9rpxnFAumOiaxG7bEWuiBGMvYHWuSLlg89VzTb73zlZm2BhGCY4b8dXzM7x4tkmr56IqEscXStTLFjlLpVmxGLsRhZxGvWzdd92laSr2ARNs7o148WwTWZ5nv+syV8ux0HjyZmayLHFuVaxJjzPnTfHhXJYpnhxkWeZPvbLC5bUOsgTnj9eP/H1zf0TO0tBUBV2Tee9GC0NTSBJhAKOpCtWiSZKK/oIkS7R7HooisTST5xdfXuHOzoBKwUBVlayG5voR1ZLB6lyRIBLJlxePV3n/lhA8nDtW5dRikd/6zk0KOZ1ffW2JN99v0Rl4FCyN2XqBasmmPwpYbOTJ2UIIGUQJC/UCJxfLDN3wgWPw1WfnkVWZ63e6nFyu8PL52YeuM92BJwTiCIPlK3c6fPu1Y3Qn9cRayaI78Bi5IaW8wZ2dQbafaHVdLq11MCaCj8trXf7sN07QG/noqkKjYjF0wvv2Owe4r5fxEda/zb27ApjBKKA/8u97/Idhuz3OkhJcL6LVc48YBB3GvbWrRuXpqGeuzBawDDWr23yZTOE+b5TyFv/0t0/z9tV9CrbOqxfvN4r8ouPaze59v+t2u1QqlQfc+osLXYbgkCeorkz32J8H8pbGuU+B/z399j4DzNZyD10QPynkQ4RgRZYp5RRsUyNOUlE8QPyLJNwVAFRVolnN0azmaPU9fnhpR0Rxnapj6fdHGy/NFMjbWhah6fph5jCRMzWKOQPTULEtjc3dEbvtMZWiia6ronGkqySpw2AcM3ZDkjhC1w1KOY35Rp5O3+PO7ogkFYd6y1BZaOSJogTHj4jiBF1XsEyVg1dWyhukqYiGq5esSYpAiqrKLDQNTi5WkCRYahYyFf5e1yEIY1RV5uRCeeKCdZQA/cozcwBst8bk94bc2R2wuT9C18TGVVVk8ZoHdwlb4nu4+xjdgcd+z8XUFRaahfsc/A6jYOtHSOtTfHmhqzLPnXo0SaGUNx7q9CBNxvlB3V6eJNs0KncJI7ap05pEFUsSmLq4rmVJImdqLDTzrM4VaVZtIQhxAiBlfXeE44eU8iZNTebEfBnb1HnxTJO9rkNv6GNbGgv1AtRhMPbZ7Yzpjnw0VSjuPTsmjiOGTkAQxoRqjOPFDJ2AOBZik+/8ZAPLVJlv5JAloZY+t1Lle29v4QYRUZwiI9z+RuOAwTggihNmqjaKIjEYhyw18yw0C9zZGXB1vY8EHFsoMVPNHSkEOZ5wFry13WdtZ4CERKVoUCsdXUwVRf5EzvaH73/wWeUtjblJxOvHwbR5McUUUxygXrb4D/7lN/h3/5/f587OkH/rb36Xv/a/f/2hRMEpvlgQKXMqlaLBC2dmWN8fsrM3otVxiUkwNBXLUAiClDhNSZOUBBiNfXRdpVqyWGrmuL09YuwGJBO1x0KzwMUTNYo5A0mWkSSyNUeepETlbQ0phTBORBHwAY3/pxGaKvbqnxXke9byqeP2FB8Xh8+Mmircpos5g/7QF+lrpoHd04jjBNtU0Q0FP4oyQuIBgjAib9nIBqRuBJPhLSkypcIBGSfCC8Y0Jk37csF4qgSAqirzzGOQu59GyLL0xGpHU3z2WGjkH4tYkKaTpFaYODvniEoJmipckTVFEPS8IGK3K4h2tZJJrWSxOEmXdYOYf/zWGr2hz4nFItWizfOnFFRVZmNPJHYGYUKtbPH+rQ63NgfUyqYgR+wMiZI0O6ceNDklKZ2YssikqUy9bFEvWyRpynZrTGcgXFVTJGoli3LBQFNlKiWbP/cLZwBY2x7gejqFyRHWCyKurXdRFZnFZj6LuD9IxTjAvSSO29t9rq/3ydsaL56dOSLeylla5q6naSrN6t0xVCwYRxzujtZc1CP1lcP7h60JkbKUN46IOmRZyhKED37O/v8E9gRBGLM5EYfM1XNTt9qnFKahZmMVREJN3tJQZYn2wGOmkmMwEmSBD262kWWJE0sVLEPlzfe2cP2Yrf0RxxaKvHRuhnLBwDY0NvZEctfyTJHTyxXm6zm2Jq6nSZqy13VF7VuVmavnOWFqQuCw1kVXhdN5s5rjmZMNSnmDJEnZ3B/h+hFz9TymrrDdHqMqMqeXq8RJwo8v7+EFEWdWqjQrFtutMUmaMhgH7LTHdIfefXXwMI55/2YLx4tRVSBN2es6RFFCMS/Ep/tdN0v7liSIEmEuVS2YqKqcjadayaJWNOn0fXqjAEkSDpEHf1dk6YE1vHsdeh9Eer4XwhznaP3tUXXZKab4ouHw+vhZo1ayCKMkc9CGj74ujt2QH32wS5KknDtWxdCavPHcQvb3ZtXm7KpI7A6jmI09sV7Wy+YR90PlnhQcU1ezs8RgHHB8voQiS3T6HlGcUi4aPHe6yR/+6A7XN/okaYqmSIy8GG0UsNjMszhTYKZms9DIc329yz/5YJfB0GfkBkiyhKkLM6oDky5dU5iv52n1vMlnIVOwdQxdxQ3jyRlP9HQNQ8E2NPK2xvJskeXZu8KXIIzxgxjXi0lJSXWVNL3nQDiBqkocny9N3PthcabA4kyBr56fZas1YmNXuAFXSybjiQAQyAQbdz8vhcbEGEuWJQo5neJD5sGhI9YCsc8rPJJE1e67tPte1guW7zkPfxbk3Ck+HjRVfqzvp9VzM6H1YjN/Xy/s5GKFMEr5kw926Qx84qqNqihcOF7LxnTUdTixWCaKkywBRpakjOsgSRLlvMlgFFIrmzhexMgNCeMUTZUJIhlLV7B0FYmU29sD2n2P+UaOctmg9VOXsR9yYr7ETNWm3ffw/AjfTxh5Ie/f6rDTcZlv2JTyJheO19A1hThJjuwlBiOfW9sDhuMQx48xNPAmqYivPjvPbN3mzXd3+MnVPTRF5vzxWpawE4QxSQzVosmJxTKWoR55/HrZYnWu+Mi0gUeNpyOf+dL9hLQnXYOoFM0jZNOnhRT6RUIYJWzsDYnihNlaLuOU+GHMxu6QOEnxfJHit9MZI/ckZio2bhAThjEzdZs//eox4iRhqzXm+nqfkRPCxERCkmWKeYuCrdGsCkGF50cTsZYsxBlpSpKCRDoxhTX4xa+uYJmCU6QNj16f1ZKRmSqeXj563dmmxvLsg/cnIyfgx1f26A7EmlotmoLDIEtIksTqXInVuY/f93rcsXIYn+aaFIRibkuSNEsl/FnE9Mz0+cE2VV48c9dFvjv02O+6GLqCLEus7QzojwKKOQ1FkSbpGjJIErqqiHpXKs7VvZHH2AtRZIkgSBmO/cwsula+h0sjy0cEFmvbfd58dxsQyb7ffGmZb760DMClW+1sbINICLENE9vQRBrEhFuoqSmSlKJrCguPuJ6WZwqU80ZmFP2wdebe8a4oMn4QZelilUJ6ZM2K4oTLax28IGa+ZhNFMdv7ot4y3xC108Xm3Xqj6OU8JKHsE/Qy7n3dH+VMdd99P4SXdG/t6mnAg+o2U3x2sAyN4wvlienw09cbV35GLh1Nkwh8cViS4Gd2f/E04NPgf09FHE85mhWbwTig1XPpDn3m6ja7bYckSTm+UOLmZp+Zmi2EEJpQTS418wzHAdc3eqzt9KkXLboDnx9d2uXnX1rm2HzxvoJKpWDSqFjsdRxafY/Zqs1Pr7VQFYlGWfzeNGQ0TSaMU8ZeyFfPz7C+N+TtKzv4gWj+HggfZCWmPYhp9xziBIZjn++83efMSoX5eh5JEkWeIBSH0zBKODZfoj8KeO5UHU1VKBcMmlWb3c4YWZZQFFlEwCuyiGWcvVvY6A39LGYxSaE/Cpit26zM3b8R2es4rO8OM5K3qauUC8YRbtvqfIkb6z3COGG+fveg5Xgh1zZ6WZE4mcQ0TzHFk4aqyBybK7G2M8APY/KWTs7SjhQXFpt5XF8cSJZniygybLcd0jTNDkz1yXg+7HJxEEkeRSm1kkG9bPHMyTrdoXc3vnQo1IWdoRAxDccB3aFPwdbZ2B1i6CpDN2LkRiiKxHgUoCsSUSwJtb2t8d7NNnlb58dX9nn14gy6qtKoWCw0c1xZ66KqMpWSyX7XZeCIx29WLPwgZjAOqRZNnCBibbdPbxiwuT/GC4RwpD8b8OzJ+qTImnJ5rUt/6NMZ+HQHHqoiY5kqM/UnU7A8/Fn1hv6UoDXFFFN8aqgUTf4v/9LX+Ct/601ubvb5t//m9/jr/8obH8nhcIrPBwd72SRNkWRJNP7dUIgoUwi0CC9MSeKEiWEKSQJRAikJqiwxdCM0WSJJU+I4IWeptPrCIef4giAjHF8ocWtL7A9sQ6WQMzi+WObKWpc0TWmULTTl6SuwfBFQL5v0x74QtJrqUxkZO8UXAwuNPI4n9ulnV4VDfBilfOXcDDe3BtzZGVArmuJ8vD8kDBMcL+Jeyo7jJxheQN4ShEZVkcjbOrauEkYJu50xpZyBrin85Oo+33hhYSr8m2KKzxFJkgr35slCb5rCFc/zI/KWxk5rjDERVaztDDg1Id70hj66pmRF4d998xZX1oR71PruYEL4k1BVCVkS7qdRnBC2Ym5u9lBkmc39EX4QkUzcnjVFYr5u0x+HFG2dwcjH8YSbpjKp/bX6Ls2yTaVocnXyfKcWy2y0hvSHEQVb59zKXZLGfCPH2AtxvIiCpdHqekJ0Cnh+zLljVQCWZoq8cKbJO9f3MQ2VX3plOXuM7sDjuz/dEnW2tnD2f+P5uyTOw3jt4izff2eLIEq4eKJ+RMDxuNhpjzNiY28ojCkOmsuLzbtzdblw1ARicSaPG0RZamal8Mndqa9v9ATBBuiPfZ4/1XgkgWuKpwPHFkrc2OjRrNo8JzfoDj1ylkZKmCXW5kyND261ub09xDIU/tFba1w4XmWxUWS7NRZJOjsj2n0XPxTp2C+cbjBfz9MfBwyGPt2hjx/EIIkmkqmrGLoqSIo9lyCEmZqdEWy2WiO2JyKQds8ljFNMXQitBElsxE5b/H234/CnX11lt+Ny5U4HVZGol02urfe4cKxKrWTSHfpYhorvx7T6HmkKmiKxsTdiszWmVjD5g3+yzsmlMuWCwe3tAeWCQRAmqIpIJqsUDZZnC0ccNL96bob/12+9TxDFzFRtfvDeDn/2mycf+Zn/0svL/M6btwnCmK+cm5m66E4xxWeAg77lYByQM4VQ9KPgnest9ibp1u9ea/Gtr67wMCrCtfWj6+VSM8/m/hhFlvhTr6zwzrV9gijh/LEa5UPrczGnM1uzaQ9cNvdHYu1OJX7vrTXeem8HCUSSBoJgrWkynUm95UAw9l/8w8u0eoIUGoQxpq4Qx2BXLPww4vh8mdNLFVRVZnEmz431Pu2ey2wjx3ZrjOtFjL2QKE6xDDUT2T2op3htvcdwHNAb+wxGPnO1PA/ScCST3kc02V86XsjFE3fdmGeqOYaT72amamPqCq2eh6bKnFkps7E3nux1TE4ulVnbFn2i1Qf0jQ8QRjFX1rqZU3AQxpxZqT7wtiM35MZmH1Kx10rT9IhYZYqnH/2Rz83NPiC+Y0mSHkiC3u847HUcoiQVxm+ROHtcX+9PDOaE2Gplrpjtzw+uwyCMuXpHXHOyBBu7I1JSnjtZpzcI6I889KLBuWM1aiULXVd5/2YbEPv9nc6Y9f0RaZoyHAe8fGE2E3HIsky75xEnCV4Q0R95/NxLi2y3x5xcLHNmocLIDdlujdFUmWdPNdhojUjShDBM0FWZsRtkQq7OwGe3Iwze4iShXjEzMYrjhZimShTGaJN5wjY0bm71SdP0CM/hQZiOp5993NzsZcRpwZFpoKkyV9e6Gfl4fXdIp+fSHXjohsrY7ROEsejLOwG3lnvc3Bpw5U6X7lCIFpM0BVUibypCGJVCEoNmyAxGCa4fE0UhJclAUyWqRZPu0EPXZN54foHCxNxgdb7I6aUKrb5Hd+ix2CjwlTMfz437j368kRlGJBMzK02VeeFM85GGqY+DkRNwY+PuvAR85oY2V+90M57UwBHf5Sd9X1NM8TA4Xsi19V7GWbtyp8NuxyGYGDVfOFbB9fp4YUSjbPKVczP8yeU9kgQW6zmurfeyhJ2bmz1+8N4OINbQE3GJct5k7IUUc/p95qP/n9++xHhyrf+/f/sSf/VffC372+mlCjvtMdstYQp9bL7I+zfa+GGCLEtUizqOG5EkKbapPXINbPXcTDTeG/oosvxQEUcpb/DcqTrv3WyjqzIXj9ceOSfsth32u4LHGMcJSZRkiaNxlGRr/JPG8kwBP4jxw5hG2fpIAqn5ep6xGzKeJGJ9lumMU/zswwsirt7pZufRME44ORFwPi2oWfeP46cthQMgvOs9T4oQ6U7x9GIq4ngK4fkRYZyQmyjcTy9XaNwTN+h4EcfmDRRZKFhff3bxyGO88Zw4YO20HdJU3CYFlmZEIWW7NWKmaiPLcpa60azmSNMUN4hQFZkgjIkToYbN2yqSLLEyk2fkRtSLFl4Q8+vfOEnBVukNb6EqsmgeAeWCSRyn1EoWiqzgBWJmGXti8zNyQoJQFBmDMBYHyiQljBLaPZdCTqc3CmhWbJoVC+mQsi9KEs6sVMkfchpy/DD7f6NsUSuZmQvAvTg49AZRQqUgFLeNskUU362I5i2N507fr5h1/YjDTBrHC++7zRRTgHCTSuHIdfpJ0ahYRw4nfig29X4QE0UJ7YHLTM2mXrJoTQRUr16cO/IYSZLS6rtZYkYhp7M6X+LrLyze+3SZ8yaA4wUkacLxhRK6qvDjK7uAIFiEikTOllAVcXhSFJlOz8U2VUoFkzCKiTMiR0gcp4zdiEhLubMb0ShbWLqKYagkSUqcJJi6ylxNZa6eY7czplkxiWIo2jqOH+L7CYOROHTtd13yloYfxuiaQhQnRFFCEMaQQqNqs1DPY+gK3YFHo2Q9sCHhBRHtvkeloGObH40M4h5K7hGfV/SQW36+SNOUsRuiKCIJZYoppng6UMob/J//pa/x7/2t73P1To9/7z99k7/xr319mtzzBcd+10FRJOolk3rZ4Pd+uIYiS8hASkoubxINAjRNou/E2f1kCWxLJQgTDFXmlWfn2NofMRyHWIZCvWyxMlvKCnq1kkWtdHd/kCQpjhfRLN+9PqI4RVMf3jRIkoTdjohNf9y43i8DJEl66gpTU3wxoWsK51arDMY+YZRQyguhBcDxxTLbrTHru0PRlJdSrq/3HkzYSYVLXzGn8dyZJifmS7QHHiMnJGerjN2AOEmQJIVS3uD0SmXqjjbFFJ8j4iQhjBJ6Qw9ZkoiihK8/P8fYjZAkuLU1wJgcPXsjn+7QpTPwma/ZOJPmoarItPuCZJQkYs1OU+FEbegq3YHP2QmJ7uZmn2jsgyrWMMePjqxjx+ZKuGHCfN3mH/+T9buvM055/kyDKE4p5jQ+uNVlZrLP3Os6nFquZA5v0aGIIE1VOLlYnjR+Uzo3W+x1XTRFvi9t45deWeGXXlnJfvaCiDBKRN3h0HzXH/n31UUPMFfP8+e+dTr7OYqF4M3UlWxOfRgOmrGuHzFyA/pDn2rZxPHCTMShqcId+EEwdZVnDhEkPwrcSQpx3tKO1CIO1w3iOCWIEqyHNLAPareWoT7S+fqzRhwnjB/zO/hZh+NFdIcelYLJC2ea7HYcVmYLNCo2V9Y6vH1tn3BSC1dVCV2TJyIKiTCKGI5DpCZUixYyKf2hz3hilDIYBey2HZoVi4VGDtcPGY19EiQ0VcY2VM4fr7HfdchbGsszBQxdoXHoPHD4egtjQdwydeE23e4JUlZvJMiN1YLOre0+Z1fKNComfjBRnKfgh8mRmvs71/eZO2RiUikaWY3dC2M6A4+zq1VqJYtCTmc4DrLbLs0UjhigBGGMaWicXCpnLpIjJyRJEuEg+hCcXKrwrz3AffpR8MOYIIxFx0GSjtRv+yMfxwtplO3PjLwxxRRPEw7W32PzxSx166PCC6Ijgshuz6UnQ87W7xNpHvTzQKyX5YLJ3ERk4Xghc7UcpqHSG/ps7Q8Ze0J4OlO1WZ4tIklgGxqKLKFrCtff7xLGYl4p5g10VeHFM02CKMLzEyoFkSJ0a6sjUs8TUCThbmsZKrIkDB9evTjPmZVKtueZr+dRZRlDv/uZuEHEsUOu4qeWyw8Vgrp+RBDGyEC9ZLM8W2A0Sb84PFeGk96H50eTZNajj6PI0n0Ci8PO5qX80ec/XE96GPwwyQQcB6/1YXC9e3qoj7jtFE8n7v3+H9Ynd/zoiLCyPxKmcK2+i67KSJJEHIvEwBfPCmfxnfaYvc6YwTigN/Qo5gxqZQt1HGCqMm4Q83MvLTFbt7MzEMAf/2Qj+38QRGzvj7B0BVmWiWLBO3j1wgw/vCQSaNZ2hkiSjKGppEjomkrT1Fmdy3NnZ4ChK5xZqaApMkMn5PxqDVtXMXUVRZaplSx6g4Awihm5IcW8juuHJMiMnQiqYvwfHnunlyuUJwmqB07qown58mHJSq4XEScpfhAhpcJlvVo0yT9CzH6wxxmOfRwvYnmmiK5/uffpX2Qc3qMnScp2a4QsS7R6Doau4ocR3b6HbSosTBzUe0MhODRUmThJePd6iwRo9YQJrKGrmIZCtWBiGgoz1RzVooGuqTieSKS0LY0gTDJR9/F5k9W5IralAhKrM0Wqh9z4/7f/1MXs/yMnoD1wqRVNdP1onzlOUhwvRFPlI0JtEIlOUZQQJQlBkFCfJHp82Do0cgKGTvDA58s+x8ecl54kDs+NUZQQxQmKPB17UzwZ+EF8ZL/V6nkUbT0TTI7dmH/6l86QpGJOcL2If+rrJwC4stZGUQSvR5LBjxKSNCWMYhRZYeyGnD9WYacjMd/IIcsS717fZ7/ncPFYg7EX4QZ3r/fRyCM/2V+qqszLF2bZ3B8zWzXZ7XhHxIcjVyTfxYkwlQgmIscDHJ5D7h3Hgg/48PnimZONLBFjr+PQGfjZ31w/wvECusOAWsnEC2JmJkm/UZzgpOGRemAQRA+dbz5NmIbKMyc/Xq1RU2XOH3twDXOKKT4p/CA+0p981Pnvi4prG4P7fndnr89y8+kyvbu3TfzezRavP3c/t3OKpwNThuZThv2uy61t4apQsHXOrIhGad4WhcMD975ayeQ/+633+NEHgkj9+2+t82//xZcB0di7dLPNeBzQHfikiOSMasHgP/+dDwjDmIVmgWbV4o1n57m81sP1Q96+uo9lqPRHPqeWK+RtDVWRuXqny+W1DmEUs9t2aFQsbFNntp7n//53fkKn79AZekfiz8MwJkmF0rwz8FmdKaAoUkYma1QskGAwCijYOkEkHC/2ey5OEPLBrQ7lCbHlF766hG2qOJ74e5KkXLrZpl62OL4gJthy3mBrfywKiRJZA/ZBKBcMdrsOOVNFUSTytiiOPOo+ByjmdFRVzlxuHuc+U3z5cGdnwE7bAcS1/iTcb3tDn2vrXXY6DoOBz9WNLilQsDSOL5RwfXFIW54t8I2JQCNJUq6sdbmx0eP7725j6Sr5nMaxh7i5H4yrrf0RV9Y6lAsmW60xC/U8jbJNfxRgGiqWIbO5P2bshSJC2VDxw1hEoI58mlWbYk7H9ePs31bXYa/n0h+6rO85BFFM3tQ4f7zGQiOPqav4Ychux6HT93j3eou8pVMpGvzSayuCaGpq3NkZ4HqChGEZKl9/YRFdlcnbGkEYY5sqKSkjJ8ANZHbbDhISp5bKR8gTAyfgd9+8jR/EqKrML3xlicZHIEeXCwZbrbtzUKX4xSPLpWnKtfVe5jiwPFuYpoVMMcVThLyl8e/9xmv85f/4O6zvjvir/+mb/If/6tc/cWzfFE8GP3hvmw9utXjnuthDu37I0A0J/Jg4FUKNvZaDLIN7T+0jScFxIwaaT7yXEMYxsiTTH/kkqYbhKEecoe+FLEuUC0Y23xdz+iPJfkmS8Htv3WG/6wLw4tnmtPg3xRSfMpIk5f2bbS7damdpj189P5vN4aW8zua+hKoIN/7d9jhL6LkXAyfixuaAdt/D9SO8CalXUSTGXkgQJPRHwnU1b03XiCmm+DyhqQq3NnvcnjjH1YoGV+90iZMUTZWZrdkkk7GuKDK/9Z1bJEmKZSgoioyuibJu3lK5OgpIU+G21Oo6bO6PQUKkRE2q+UuNHK2ei+MJUt/y7F1HXF2V+K9/7zJukKIoEudWqlkNzzIU/vjHG/ihcJs7Pi+SPgDm6jniJIVUkAQPiz1HTsDltbsOud/96Xa2n3j5fDMjY92LzsDj+iTlVpZB1+TM6KWY13nnRuu+uui9CMKYS7faBBM3v7MrlYeSmW5vD9jriBrNyA34/bfWieIEQ1NY+bNP1sl2r+Nwe1s0jYp5nTPLlawWUZskkQLYpjqJp78fnh9x6VaHKBYJBueOVb8QpgwH9eeD+s+ZlcqX9mzSG3r8ox/cIYhidFWhXNDZm3y3J5fKnFgoU7B14fAuSzQrNvtdFy+ISFLI2xpxnPDjK3ukccp+32F/4vquKTJ+GPPmex7v3miRJCm6ptAb+ZQLBqWcwZmVCjlTZaAr3N4eZLc5t3qX3Fgrmdn5wDJUcqaGF8Ss7w7I2zqXbra5uSWcKiVgr+MiqQpztRxLzQI5S0NTZQr2UZLhUrOQXePlgsHplSr7vS3GbojnR/hhxNb+iDPLFWYqVpZKKMsSpfzd62UwDjLHbUHkUFDkA9LIpyukOKip7nVdxm7I8kyBZtXOUs+//65IByoXDH7p1VX0qZBjiiky+GHMpZttwkisv+dWqw8lHz8KK7PFzMm/lNd569I2o4nI9WvPzR8hPleLD14vN/aGbO2PieKE7faY/tDj8lpXmDpVbN54fp5XJu7763tDSKFZtamUDH5yxcedGMPN1fPc2urR6rnIsszIDbhwvMr7Nzs4k/NWGCekSUKr5yHJ0H/Pn6Qhxpw/VsuEjMW8jqIIYrp4nwWGkxQRTZUfeT4r5nSur3cZjAMkSeLqunAE3mqNWZrJ880XlwDQVZn+2Gd30n866JE+SViGimWoGXnnUX3RYl5HVQRx/sNuO8XTiXLeYEMeZcKeh33Hy7MFIYQCdFVBVWTeudESSQFRwkIjT87SMqL3//zjddZ2htzeEiIKVZFZbOSQFRlZkvje9X1URcbSFX7xkDgcxJxyZ3fIcBRwZ2+IrinsdV0sXcELY9b3JH56vYUsgaoqFHMafphgGTI5S2fkhIRRxP/1v1xjMA5IkpTTyxVefWaOhUYeVZGpFA2G1wM0RaEz9MjZKu9cb6GqEtfu9PCDmDCOee5EHUWRWK4Usv2grskZF+EAh88oMzWblQckbNiWytbekP444OZGn2bVZmNvxM+9uJiJ2Q6jO/S4vt7j6p0u799qU7R16iWLf/5Xzk+FHF9QVEtmNp9v7A95/2aL9iTlrpTXuLk1wPPFeauY0ykXDPK2zp2dAdtthyhK6PZdBl6E78f4YYKiTISHpkhi6g19LF2hXs2RtzSGY8HNsfIKmqKQJGDoCr2hy29/b1v8rMr8C792npP3CKU390f88U82iOMU29L45VdXsU0xhuMk5YNb7awecXKxfKR+sNDIMxh67LTGyLLE+zc6nF58cKrTATZ2h3znp5tC8GVr/PJrq/eJQ0CYoB1ef6vFz96Rvlo0afeFOWbe1qZniCmeKO7lDp5dLvHu9T28ICGOE2xT4ztvb7LYyFPI6ZxdrWbJdicXcvy344DJVg1ZSukOPLwgRpIkZusW/9lvXSKMhNArZ6l8751t0hTK+ZtIiHRPgGbVygQcAJ2+y3/xu5dxvAhVkfjWV5eyvymKEEQfJGRUi2YmJIP755DZWg5JgnRSj/woe8p79+RpmvI//PFN4jjF0BXm6rksFaxo6zTKFt1JvaRZtT4TAccUU3yRkbM0DE3BDwXnsPYUnum+cmEJ+PGR3z1tAg4Q89dhvH5hyt94mvFUry63b9/mL//lv0y326VQKPDX//pf5+TJo/HZb775Jr/5m7/JeDxGlmV+4Rd+gX/j3/g3Hhr7+kXHTnucNV+HTiAcHCbEqwvHa/SGPoYuXDXfvrKX3W99b8iNjR4nFst0Bh5+GJMA51crtIc+nb5LrWTR7rtEccpcPcdex+XaRp8oTtjvuYwmrnS1koUXRPz8S2JT9f/9B5coWBp39sShEQkMTeF337w1iUqVyVsaSQJfudhEImHgRsxVc5iGKMAszRb55eM1UWAxVQq2TqVg0hl4HF8oIUlwfaPHYjPPzc0+rhdhaAqyJHFjo89Xz80Ih1E3yAqdrZ7L0kweTVWwTY0Lx2sMxwG2qT7ShaKUN7hwrDZREdfEBtRQKeY+vNGoqQoX7/keppjiMJIkZWdSeAMhzFqaKdznQvlJsdMZEyXCmW+zNWQ4DlEn7ns/fH+HZydK8zs7QxwvwDZ1Rm7I0AnoDn3hMJdCJS/EBwcOHodxMK6ub/SolUzh0uFGlAo6x+YXuHi8SpxCGEf85HILW1dplCw29ke8+swcXiDcJv/sN49Tztt0+i5MDlsbeyO2Ww5RLJS8kizU+ftdl9MrFVZmi+x2RZRhb+hnzWLb1JGR+farK2ztj/mjOMHQFUxdZW1nyFeDCFNXObNSpd13Ob5QxAsTLt/qULA1DF24crl+hG3eLZreWO9lSUJRlHBlrfuRRBwHn9VgHJCztE81geXTgutHWcMeYLs1noo4ppjiKUMxp/N/+hdf59/8j/6Y9d0Rf+M//xF/9V98bRrL/AVDFCVcX+/R6nl4QUR/7KPKElEYo2oScgKk6URwmKIpCa6fkAIyICsSizN54jhlpmZTK5oMxgFfvdCEVKZZtbLi7MNwcrFMd+iRJDxS8AGw3/MyQgTA5VudqYhjiik+ZYzckK3WKBu7rZ7HbsfJyK4He8mfXNlFlWU0TSbyHzzOZVmcSxOEk+VsNcfKXIHhOOD0UoXxpElSzj9awDXFFFM8eThehB8llAuGIEV3XZoVizgRCT2nF8vkJjW//+m7tzA1hSQVgol3b7Z46cwsIOaIr56fYeSEWIZKd+hhIaEoEuW8ycUTNRwvomhrzDXy3NjqU8nrvHhuFteLcIOQjb0x222x3sdxysDx+eVXVwnjhOE45OqdLsAk1TLh7IT8XS2ak/SKkIKtHTlH73acjLy113MZO8EkbQI29scP/VwO1z6TBF5/do7BOKRg63SHHt7ElGLoBIy98IHCgM7Ay4QfSZKy23EeWAuM4yQjRwG8d6ONbSgkqSCGXV3rsTr75Bo42+27n8NgFDB2w+x1rs4VKeZ04iSlVjQfKFYB2O+5GREyihP2u84RJ8PPCwf1Z5h8B23nSyviuLreI5g4Xjp+yK2tXlZnu77e4ytnZ3jjuQV2O2NM/SBNRYgYegOfk0tlbk7EF+2uS38cUi2YIn3Xj6iVTIZOSGfgYxoKYy+kXrawDJXTKxWWZ4ooihBDLTRy+EGCZaq4fkx5Uu6rlSx0TcH1osyk6PLtLl5gU7B1BmMfa0JUGHshPSegUrDoDX0uHK+x1CxQLhj3ue6//uwcs3WbMEo4MV9C11VsQ+MH721zYr4IkkyapizOFCjlDc5ripivcjrmITHSbmeczScXj9cAiXrZfCLk5J3Jc3WHIglo5IbIkz7D5bVONj8duPofJpNPMcWXHe2+m51pkiRlr+twzProY+TXf+4Eb1/bxw9jSnmLn1wWZnVpCpdvd4+Mu4etl9stscYOxwHru0PCMBYJ1LKM60d8cKvDyaUKQZiwMlPAmRhMDcc+F45V+GCti2WonFosc2d3QN7UyOUM0hT+6Mcb1Es2JxaKbLXGqIrEcBzQ7vvIsiChXb7T46VzM7T7HnN1UWM3dVX0CEZB1gftDX2CMJ7MoQ8/n5VyOvWyRblgggTvXt9nduIQvL47YuQE5G2dMErEXmJCaPu0+04PgiJLnDtWpTPw0BT5kQmuhqZw4USN/rSH+jML01C5OOmFHVznD8L5YzWKts7ACVicKXBrUxhYzlYFcbJZtVmeKSDLEiMnYH13hDc5dzheyLljNdpDn7PLFQZOgKmrSAhR+eH9PcDKXBHTUPndH9zm+HwJy1CptkZ0Rz4XGgUu3+kgyzK1gomsSHzz+XkKBR1SmbmazfWNHkMnpd33hEBdlri+0ePVi3O0+y4XTtS4vq7w+rNz7HZc/CDG0BTiOGWn5bAyV8DxIgxdIW/rXDhew9RVygWTIIypFI0jY/XeM8pu22GpWbjvPOB6EbO1PP1xB9MQZ8U4Trm81n2giGO37ZCmcGOjTxSJpL/2wOP6Zm9a6/2CYmW2KNzz44Trm138IJ6YKKR0Bz6kQuQTThI1X3t2ntvbA1RF5tLNNpoh48cpwcSgUJJFUt/F41XqZRNlIoZOUnGb06ebBJFYD08slojiVKwlssw/+uFaZjLhRwnfe2frPhHHB7c6GSnacUPWdvqcWxXX1mDkZ8kiaSrOwofXizeem2foBAy9iJyhYRgK250xJ5bKD/18Lq91s+cbOSG3tu4+32EYmpKtv4/L+fm0cXyhRLlgiP1KyXpquWpTPB24lzt4VYJzqzVubPbRVCF+VGUJ29KYqeZoVixmqjZxkvLudR8J0YuUJIhjiedO1Wn1fXKmyp3tYbbf94KYH1/Zy67ndt+lWjSzPWq9bOG6AdaEv/f2tVY2D0RxyvX1Pr/82mpWh/jgdicziynYGn4YY0/Wx3vnkKETCP6fc3898sNweE9uGirvXNvP5hI/iMlbGm88P4/jidQsXZUzU4vjT8Ccd4opnjaoisz541W6Ax9Nkx+aJvlFxh//5M59v3tvfY+LSw82nfqiQsy/Yv6SgB9+0OXi6aVH3meKLy6eahHHX/krf4U//+f/PL/+67/OP/yH/5B/59/5d/g7f+fvHLlNqVTiN3/zN1laWsL3ff7CX/gL/PZv/zZ/5s/8mc/pVX8yaKqM608KoD0HRZGYq+WYb+TpjXz2ey66JmObGrqhEE2se2UJCnmN29sDtlojegOfYk4nSlOKtpa59HlBhGWqJCms7wwIo4icqZO3dTw/Io4T4iRlcSbP5t6Qv/cH19jYG1IrWchIeEFMq+cRR3BysQS3xOZOUWTqZYPXn13A0BT2uw6Xbnfoj0OSNEXXZLbbYwxNodV3GYyE2OLli3NZPPJgHLDfFe8PyIoVpi4cCJsVG8tQ2dgbkqYi4eCwE9eBG8yHIUkS3rm2T6vvMlPL8ZWzzY/k6KVrypEI2CmmOAxZFvGDB2ktsiwhP4GDuqbIgugpS+iqgiT6v4zdkChOGTrCSUNRJFRVjIuDJoGmyqiKjKpIDMYBt7cGhGHMbtchBeaqOU4vV9jpOPzJ5V0u3+4gyRKnFiuoikSlYNGs2tk42NwfoSodZFMiiBJypoaMxGgcstNx+J3v3+F/88tnOHesxvWNLm+9v8NgHOAGEW4Qk06aDZqmTOYP0QyyDZVizkDXZDRVIWdpqIqEqcuMvYg4SXD8iChKkCWRqqNOxrIiS/SGPlfvdDF1lWbVJEnE9/Cg5oZpKI/82Qsi1rYHRHHKfD33wEbFvXPQ9fUul9fE8796cfaR4rLPAqoiZ44FwJTUN8UUTykaFYu/8huv8n/8j77D21f3+c//wSX+wq9d+Lxf1hQTRHHCra0e+12H7tBn6AQEQUyQpqRI4pydpKQSDJyQNAFVkZBkUABZkdEUiTRFJHh4Eb4l9ueGrpEzVfa6Dre2+hxfKLHXcfHDmEbZOrI/lWXpQ6PID2Dqijj5T9YH03yqj5AfCX4Ys7Y9IIwS5uo5qkUTxwv4/js7eEHE6eUKp5crH/5AXzB0Bx5vXdohihKePdVgaeZ+se4Uny0O9t/brRF7XQdTV1mcKbDYyLO2I/aYC4088408siRlZ4kHQULMNVEoockyd3ZEDaBaMslbgiQAYE9TOD4T7LTHtPsepq6wMlf8TEhUU3yxkaapcIEdB1iWKs7uk0ajZYSYxt2mYyFncmZVrDM5a4MwSkhSQRryw5i3Lu2gqzL1kiBSe0Es5oAoIYwSFEVGIiUIE9IUoiSlWrKoTvYAfhCz33MIwwTpHtemKEr4re/cJIoTTt1DkrYtjXrZyt5Pq+8yHAcEoYFlqFnz9vCZ0jLk7FwP3OeO2e677LQdtEm67YGwrZQ3OH+8xmJTiBJGToiHIMMjQafvcWdniKmLdIM/ubxHGCYszeZp94UhjaEp6KrMP3zzNkma8typBgsNQWqSZemI+55lqDhemL0HCbh0q40sSyzPFI40hbsDLyNurswVH+j4+WHQVDkzjEAS5hUHkKTH26/de3bXH5LY8Vnj3telaV/e+c865B4pSxKGoeIGEftdlzhOuLLe5fRShVMTEtStrT5X7nTwg5hmxWZ5tki77xNEMUM9IE0SolikcFgFg2rBYOxFpGnCcBSTklKwdVZmi9iGyvrekP7IR5YlLEPDD32+984mb1/d4xsvLJCmsL47pJQ3eOF0k9s7A67c6nB9s0cYJTx/ukEYJ/hRnBkE6IdqidWieV8tPI4T1naGOF5ItWQyf4hIOFO1ObVUzpw+kYSYZbs9pmBrvHZx7j5ny8PiEFmWObVcfmCTuD/y2dwf0R14WIZKKW8wWxOu1FGcMt/IfWhzWVNkJElCkcXcoCqSqN/KMvo9IhXL+OKZtEwxxWcNz4+yM8tBCkYUJex2HcYTE7rHrT8cQFEUXjorxKrbkz1Bd+Ax8kK8MGanLcyHRk7AD94T5/OzKxWah0yXNFWI15TJ/nu/59IfBUBKmqbUyiZDJ+C9m22CMGKmmmO+kcPQVRoVm1bfJ05TdF2mUbGPmGXkJ2NfURRmaznhGrzZQ1VCZFnMU5oqsd12cHzRN8jbGr2hT3fkUyuZfPWceH/lgoHjhdzc7JOkKYvNAsWcTpIkvHVpl/2uQ7Nic3KxRDF3V/BQLpjZfkVRJHRVxvMjbm722d4fUSmYpGnKO9f32e86T/zsr056tI8D4zF6qO/fbHNrq0/O0njtmbmPtc+a4vODaahHxJgPghdEXNvoMRj5rO8OieIEXVWwDJX+2Kc39KkUTMoFA12V6Q59bm706Qxd6mULRZaoly3yto4bxIzGAX4kxFqaInNrq8/STIHN/RHDcSBI6Qslbm2JhLC5ep7FZoE4SVEVGUVO0HSZJEnJ2TrnVuqoisTt7SGDcYiqCK4FkkScpEhxwub+iBOLJa7e6XLpZpsbmz0USaLV82j3XO7sDLFNlThOqZWECY/rR3QGHvP1POXCg0VMh88oYy+kNxScjuXZo+cRTZXRVJlayWK/66LIEv1xgN4VaX8HIpgDSJIQuLlBRBDGyJKoC92bpDbF54sgjLk9qUfP1mxqJYu3r+5x5XaX/a6LqkApb5K3NbFH92OCKMYLYhwvBkmiVjTITwjQiiKDLCEhoSoStqGiqUJkJNL/QiQk6mUbWYZmxSZFiERsU+PKWof13SG73TFJEpOmoh7huCHX1rtcXevSHfkcnyviTFKsDnC4J37fufWefbUsyxxfKAlxygTmIxJiekOfVs+h1Xcp54UQ6lE8IFNXMauf3loSRglr24MH9l4ehMc9308xxSfFQa1q6ASYukLe0kmTmEu3OgxGAYoqYZsKt7YG7LQdTiyWOLVUpjN0xRpoaqiaTDIpVWmqhB8mpKlIxRTmMXfHqaErmYkKQN4yKE5SNTVVZugG3Nweoqky5j31qrylUbD1TPCpa8pd8acEe12HS7c6yJLE+WNVekOf/thHU2XOrlSxzccXb9ze7vP+jTaaJvPy+VnKBTObE4x75hpL1+4za/i4fcD+yOeH728ThgkXTtQ+MxOIJElZ2xkwdkPKBYPFBxj2TjHFJ8GtrUHGtXv92Vls8+nqN1br99cGnzYBB0BKeuj/ZAYSUzydeGqrHu12m0uXLvG3//bfBuDb3/42f+2v/TU2NjZYXFzMbnf+/Pns/4ZhcO7cOdbX1z/286ZpiuM4H37DJ4SZsobneWx2xyikOI7HDcfDdV22Wndfl+/5/K+/dZz/9o9uEkUJP/f8PMOhw9a+uE0QBAzSCE0BSZGIkoQoTshbKoossd8ZYekSaZKwtT9keTZPpaCJoqecUs2r/O3/8T08P0GRJDb3xzRKGqYuiONhFLE6a/Py+Qbv3RCRnN98cRZFilmoW4RhgCyluJ6Ppir0Bg43N7oUbI2r631yplDBO67PL35VfJ+1gsJwlLLUsJDSZKJUNzg+a2ffSeAHeH4gNpGBgus4D3Wqexjeu9nm8m3hMNjqjtHl+KkkZ03xxcXppTK3twekcF8R7dPC8myROEk5loqFulIwWN8foasKL51vsLEzRlVlvvbsfBbZaRkqq/PFrJDS7ntYhoIfRrx1aRfXjzANhdE4ZH1vRBTHvHejjQT4fsR2a8SvvXGMmXsKFQuNPBdP1PjxlT0MTea1Z2Z5+/o+t3cGFHM6W/tj/qt/dI1//lfO8YP3dkiTlM7AI4wTmhUbTZUIQ5ipWrx0biZLixhLUC7oPHuyLjaIhsappTKyLLO7N2Rjb0gpJ6KOvSDiF76ylBEi2n2Xty7tTAipPkFosjpfJIpFTPO9pIczyxV6A5/tjkOlYPDsqaMbuBsbfcaTtKLrGz2eO9V4JHGiN/T4wft3n//7727xS6+sfqzv+tOCrikcXyhNRDcyx6ZOAlNM8dTi2HyJf/3Pv8Df+P/9iP/2D69zaqnC156b/7xf1hQIclR3GGBbGlHbQZElTF0ljGNUxLKQpilpKsiWEiDJEnlNIQVsU6dS1FEVmUrBYDQOScoJz59uMnZC9rsOi40CQZjw/Xe2smjwsRtif8wkqFLe4OXzs1y61cbQVF57ZvbT/Ei+0Li50c9ik29s9MidavD9d3aEQzjw1qUdaiXzqWvA/PHbmwzH4n1996eb/C9/7uSUEPE5wzJUygWD7tAnCBM0TQh+SdOM9H9tvcvx+RLNssX63pAwju97HFUGQ1exTIW5Wh4viHD9CC2W6Q18lpsFUsS+77WLc5/xu/zyoT/yubMzBMQ8LMvSdI89Bbsdh922qGE5XsS51Spru0NkCb754iLXN3p0hz7z9Rynlu9eL68+M8fazpCRG9AoWWiyItItI5lbTh9VUYjimDRNyVsaQycUJiiSdPcMPXHnHzoBlqFy+XabwVicYyUJzq1UuLM/pF602e2M8ALRhO0OXP7Uyyv0xiG1osGzJ+oPfT+GrmQEvoVGniBKGLshs7UKxZzBW+/vomsK3351JXsMz4+4MXHeBbLGcZKkpEnK4YrJsYUitzYHhHFMztTYnTjUjt2Q7/50KyOYb7fH1EqmeJw05U8u72JM1rrvvL3Jr//8KXRVELVPLVVY2xkgAX/2507yhz+6w17PZb6Wo5TTMqL59bCXpZoGYcz1jV5mgnBzs/+x3GuPzwsiWRjHzNfzH2s9blZsXD9iMCGnPS6B8kmjWjSZq+foDDxsU2Wxcb8b8JcF51Zr9MeBSNspW7xWn+O3//gmnh8xV89x6WYbQ1M4uVgWJiE7A3w/xvFDWn0XJImvvzDPjz7YRVVl0iRht++hKzIvX5hBlWVUVWa7JdMfhRi6uLbrZZHWYZsag3GAqspUSyZ/8KN1XD9CQuLv/+F1Fps5LEOnPwrYbo9plCzefG97smeQ+d5Pt1ieKXBra0AUJ5xcLLPYzJOk8NK5mQeSATb2R7R6It3H8UbYhnaEqHj42gd451oLEGQsTd3j9WePnl8Xm3nCKMbxIqpF84FCjDhOuLbeY+gEbO6N0DWZ1bkSt7cHGRHk+nqP50837ksMOYyspjpfwvMjamWL5ZkCiizx6sVZvvfOFq4fcWKhdF8NdIopvoy4sXm3Lj52hXDr8u0OkiRMIG5sCiL+xz1zztXzlPI6G/sjcT6SJW5tD7BNjTff3cqSQ3/w/s7dpArg1FKF29sDLENlp23S7rsoikQYpmK/kKRcX+sQTUjfe12Hi8drfO3Zed58b5vTqdiLNCs2v/q14/yTSzus7Q6plyy+8dw8v/dP1hm7AWeWZ+iPfSQSgjAljhMqJYPnT9bRVJndjkMcp+iqzNrOkJmaTX/oY2kqL5wVPYZrh1LAr97p8sKZJpdutrm+3gOgPwoo5PQj6+qvvn6MH1/ZI45Tnj/dQNdV3rsh3I3LBZNW36XVczF0he7Qf6rO/jvtMT+5sgeIdeGt93f4xguLH3KvKZ42/OjSLpt7IzoDD9ePOH+symAc0Bt5lPMmYZRkvbY4TugMHKI0wTJUojimWjJ55cIsYZQwcgUpVUkkHC8ijGL2uy7dgUd0kArgRSzNFPDDmN4oYKmZ58xqlTff2eK5U3V22i5BGLMyW0BTFa6td7O9fqVg0Bl6vPrMHFfXuoy9kJOLZZIkpdVz2dof0x162XiPopg4TfDDmDMTfkF/HFDOG9RKFhu79++NDkOSJE4ulrm91Wd916NethiMA65v3D2PgKjZLjTzGLpCmqb0hwFRnLDYKLDXcdA1+YiQVpIgThJOLZVZ2+5TyGm8eGaGpZnPP8Vviru4tdWfiA7FGtvpe7x3o40XxMLYIZZwg4hnT9bRNZk7OyNqJZOCrXN9o8vyTJGomnDueMJee0zO1BlVLDp9lyBMqBQNLEMjilPcIMLzYzRNRtdl2gOPnKVCKsbST6/ucXW9h20Kk0TTUHH8iNmqzbljNf7H79zE0FVGTkC75/LSuebkDA5LzfwRsnLe1lmaKUzMaxSWZ+8/QxzuxdeK9/fiDxBGCdfWuyzOFBiMQxw/4uXzM59pQt6dnQGdgQd8st7LFFN8mjioVbl+xJ2dIZahsjRT4HffusPYDUiklCRMWN8Zkc/pBFHM9Y0+3393k/n6ZExKEudWaly9I8QTP/fiIvFBjS6Fr5yb4d0bLfZ6LkuNPP+Lr6/yn/4P7+MGMS+dneebLyzyBz9aJ0nhjWfnuL0zyup9tbLJ+WPVbE/9c19ZPvL6jy+UuLXVJ4oTGhWbP/qT9cx05fvvbFMuGJNaIYdoyx8Oxwv43k+3snX9ez/d4lffOJ79/bnTTUZu+MB67CfFd9/ezEQv3/vpFs2K9ZmQ3bdao+yc5HgRlqE+dX3MKb64ODAKzLhu7+zwiy8vf9jdvlBYKv5sJEIampSddwAa5Wmd8mnGF79a8xBsb2/TbDYzB3lJkpibm2N7e/uIiOMw9vf3+d3f/V3+1t/6Wx/7ecMw5IMPPvjY978XYy8mTiBvyh+JyJ24Ae1hxPZ2iq5JdPYVxp5orqZpyhqw1DD4868dHM5HXL7SoT++S/SQTAUjiYmiBDX1UWQoGgkSoKchvgdtfwSAN/SoW4AFQeDwW3+4z07bw5gQog1FolFMsCak5SAM+Qff+YCXTub4Z75+cPgfgjtk7Ras7/tUjQQ5ihl7HnfWHRw/YStJ6Y1iXEMmcBWGfYkP8sPsNffGEWMvoWaJWAEjHXPtWjf7++aWK2KCgb2dHu9LHVTlwz/Xg+9BVeDSuktvGGXfxwcMiMc7j/3dTDHFhyFv61w8RHp4EtBU+Yj4KHxunrev7eO6EaahMl8rsjpXvM8ZopzTGdga33hhkf2uw2AccGdnSBDFWRRvkqZ4foQfiYKRH0Q0yxYnFkssNAt0h959zdTTy1U6A5+NvQHbHZdawaKd97Om6dgNcLyQOErpj/yJ0l8VIhNN4dh8iUbF4t0bLVwvIklTxk7IbDXHyxeqvHzhLgntzs6AIIzpjwIsXWV5pkClaKKochYr7njRkdNdZ+hxWi2zOlfCfoDDuCzLvPbswwnQQXh3bk1T4X78KBHHyAmPPL/r3U/C+zxQK1nTA9wUU/yM4OsvLHB9o8ff/6Pr/Ed/921OLZe/MISuLzOCUKyntqHSKFsYmkw6+b3rRURJwmgcEiWJaHgA5ZzBsfkCXzk/x9mVKn/843WiOEVVZYbjgOMLJSpF0ajRBnLWAHT9GNcPRXqVqdEfuuy0RpTyBo3HuBZcP8LxQroDD1mGX/na8Uz4+Umw33Xoj3xma7lHplAdPH/O1D7Uve9J4d71PQxjxt4hR7FUFEBrTxkn2zn0HuJY7OueBiLHzzp0TWGuns++nyAUZKJSXozpNIWRFzLXzDPbHrO1N8SP7m4oFQVmazkaZYtTSxU0Bd66tEeSpjQqNmma4gYxr1yYZamZpz8O6A39h5IGPiocL8T1I/K2jqEp9Ec+UZxQLpgZqfrLhsMuZOLnL8aef4rPF/deB9WSyfNn7hITHuaQrKsKf+rlZYIwxg8i1ndHFHMGsiSEFDOzwmXJDSIqBYOlmQKqKjMYi7N2FKfkLBXbVEgSlULOwA8TvCAiTYXr3K99/Xi2R/i3/uZ3GYx90lQ4sx5bKFPM6dimhqJIdCdkBX/i4uoFMaauMJ44ScsyrM6VOLlYzt7D8mwxc9UGQXTwgohDqd+Tzyg5QgoPwpjchAxh6irnjlUB2O+6tPtedjvHCyjYYk6LooSCrWeO1Ru7Q9zJey3lDIIgQlfFPqSY03nmUI3mz3z9BI4XoqoyV27frTkeHtNhlGTNX/E5fLzxbRp338/HxaclEIvjhN7IR1XkbO35pFiaKUwTvxAJK288t5D97Hghz51qsNUSwuAoTrK5IYwScf3mdAo5HU2VGTk+1aLBL792jP2ew6WSiarK2IZGnCTUSybHFkr8+PI+Yy9AlmQKOY1j82V6I5H+J0h7KUmSQJpmbpVRlOCHKdbkKx85ITlDI5lc34aq4IUxs7U8szXRZ5it2Txzss5wHFDKG5kZTJKk7PccHE+Iig7j3rnv8LV/eJwBjNwge223d/oYmiCeHCSVpGkq5iBJCGHHbohlqCiKcM8+SCwLJ/uksRdmIg6RaJg8UsRxb031MPK2zrdfXX3g3w7mtIKtf2EScaaY4rOAf8/4nq/nGLvh3bVxMu7u5SqN3BA/iCjm9EeOSRDriYTE2AtJ0pTByGe/6+D60d0bpTD2IsoFGDmBIE+vVFAVmfW9IUvNCD9IiJOEZtkiTqHV9zIHX0MX5hmVosmvvH6MJBGJQpIEzYrFN19aYq89plIU5PLnTjVoVExypsbVOz0WmwXeeF4keD97ssG7N1p0hy43NnvoqoKpqyRJguuHKLLM6NC5/PAcmSQpa9t9rm/2ieMUZdLfHLsh54/VsnU1jBJee2YOQ1PI2zojN6TVc9EnaeaVgnD9P3A6f5rO/gfrwAHGbvSQW07xNOOgvhbHYt2Ok5SlmUJ2rgAYjAP2u0KMoKsK5ZyYSAxd9A5LeQMviCBNma3mCOOYsRMRJSmOF7Df88hbmnD/1kVi4LfuIYweXtd/fHmPaPJ6ojgRAixNwTJVyqnBN15c5BsvLHJzs09uspdq9YSoPIxEkoifRNiWjiwL7srG/pAXzjTJWfqR5IEPqw+U8gZnj9XwJ2eQKEpYa4+pFMwj++uFRp6FRp7nTjXY3B+xuTfK/uYH8ZFaTZLAYrPAYrPAxeN1TiyW7usHdoceaQrlvPFEDAin+HAcqSWl0BsJ8q8kMekBaBiaQq1ssThbpFHuUbCFkUMYJuz3HKpFg5cvnGRta4Aiy3hRwvpOnyCIiRJQZNhtj7ENFUNVMgPElZkilqHQ6nvkTA3Hj4jiFD+IURWZ5082WZ4TvJ9Wz6Ez8CjlNEAiCGN0VeWVC3MPdYGeq+eYq+cYjAOGjhA2KYcSaz+sF3+AMIpJU1Enef50A1WRefFskxsbPbpDj9NL1SwJ4EnhgTW/qYhjis8ZwaRWdfdMLP7tDX1kRUaXQNJAViTK+btcnnbPp5QzSdIUTZX55otLLM8WMCfEfwmxLlimOHf/2hvHcf0oE2r/1f/d6wRhTGmSinNycnYfjAN+enWPO7tDbEPFNMr8ma+feOjrtww1M0gZOUEm4ABxdmiWDAYjn1LeIL0nUfhRcLyIOBFzmSTB2FcIwniSVqKSszR+/qWlx368jwLn0HklnfQTPwsRx71z1L1ntjRNM9OfcsHIEv6mmOJxMHJDkiTF82NURTraN39KcG1jcN/v7uz1WW4+XQ1/RVGR5RAS0SNe3xvw1QtTA7+nFV/8as0jcO9C8qiFejQa8Zf+0l/iN37jN7hw4cLHfk5N0zh58uTHvv9hbO6PcdoOKqBYKqeXyo99IC7sjfj+uzsoKiiazMvPz7PRcnC9iK22Q8HWkC2dXNnMlOxLbsi19R5JIuJ1Ty+VJ7HmEVvDHRw/xE9SSjmDxfkiN7cG1IoGtqnyrZcWuL0zYjDy+fv/8y3CSCKKZcIoJW/pNGsWv/qNU/zuD+4wdEL2O0MiSec7lyP+qW/UefF048jrn1nwuLU9pOFH7PdcKgWT9291KNsaXiLc8ko5nYvHq5w7Lho6t7cHvLO1RxgmXN31ee5UDc1QWVouZ8r2fHXE3kRRWi6IaNQPw8beCKfj4owDBoOQhbkyg6BLtWCi6wrffGk+c++ZYopPU8T1WSGMRGLGyAnZ3B8xW81RL5tU7lGXBlHC77y5ljlOzzdy2KaGZajM1fLsdsbkLA1dkzm+UGZ9d5gVKL0g5sRiKXOHqpctjk/Gn+NF/M73b/L+zTaX73QxNQVblykWLaJJQ/XFM01KeZOt1oh232XohDTKFms7Q04sljJy2UzV5tZmn639EXGcsmWOSNKU1bm7TjGWobK+N8QPIoZuyGzdZr8r3M532w6r80VmajkKOZ3hOKDdd0lJ+cF7O1jGPn/69eMPFHI8CjM1m41dURwt2PojI1sBmrUcpbyeuamcXCp/pOebYooppngc/HO/co73b7a5cqfL/+2/+jH//l/62peWSPtFQbNi0x8HhLGIH47TFNKUMErojX0cLyRJhCA5TUGRJUG+9GMu326z1xnjhTGdgU+9bDLfzFEtmRn5cnm2SDAhStTLFmvbogihyBK3tvqCbCjBqxdnObn48KS5oRNw+XaHq3e6InGvbNKsdPn2q6tZU+fj4NZWn++9swUp6LrCL7+2SvEBQo6RE/DB7Q5pKoiJ549VHzsW+dPETM3OXPTztiB2nF4u8ycfCEfIQk5npvb0RZOeXCxzZU2Q5ZpVi2Lu6Yq5/VnFsbkiPy0YuL4oeC7PFDixWKLVEwTlYl5nrmbTKJuIqfwo6zmOYa/jkrc0/DDk++/sM3JC/Chm7EXUSybdvst3394kBc6uiHP2TM1mZfaTuS72Rz5X7wiXSkWRKOZ0ugPRBMhZDudWq1/K5n+5YGBoimiSSEzFlFMAYn3e64qkCUWRqJcfT0RvaDLru0PSFDRFIklT+hMhxfH5ElGaQipcYqM4ZWeSjlEpGGxMiDyGLnN7e3C3CSqlmQiiXraoHBJ1BWFEZ/K3KE7Y64zY7ypIkljDfV/sN1JS7uwOs/ez2xW1SYCN3RFvPH+XuH4Y7b6bpW8osoSuKRmR6eRimZErjA8sQ33oOnV4jEkSnD9WZ31XrNtLswUqBYM4EWQXRZW5tSn2RXEjfaiQ9GAPdLAHMXUFb7K3albufle2qVKw9ax+MlN7usd3kqR8cLsjDC+AhaYgg03xZGAZKs1qjtaBG27BzBIdcqZGo2LT7nuEUYKiyHQHPmHUR1Ukwjih1fOE8CNKSJJEOEYOPDRVptXzKBUMluQ8eVtjfW/IbtthMPJZ2x1QLVrs910sQ1zDS7NFqgWdIEqRJHjmZJ04iinnxfU9dEMWGznGXogiSxRsIS754x9vCFKhBK9emOXEYpn3b7a4dKtDGCUYukIpb1CeiDweJRpdmi3w/s2WIDdIwj0/SRL+0Vtr2Tx0aqnMK5MUsWvrPXpDnyCM6Y18mhUbSYLTyxXKBYMoTtAUmbytid8vlbPUoWLuw2t2Hwedgcf1jR6kQrRz8XhtKuSY4kuD2aqd7TUOxthM9e5ZOmdpGdn5AO2+y42NPiCEUxdP1B4p5GhWbYbjgPGEjNwb+ux1HHLm3cSscsFgpmKz13G4PamFGJrC2dUKiizRHfkEkXAc76oyUZxSLeoMnZhCTqNaNI/s1//gR+vZfqpaEoKIKEpoD1yCICFJBbn7a8/OYRlaJig5eIxKQecPf3SHdt8jihJOLZVIUugNAxRFwjg0RzSrdpZsttUacfVOl7EXsNN2ODZfyhK0DxBGCe/fbGXkrHLBoDf0hevy7hBJksiZqtjH+LFISnuKzv6LzQK21cZxQ7EufIpuyFN8cXBqqcJ+zyVnaUh+TL1sYZkqc/Uc260xO+0xUZywvjukVDAIooRW38UPEubqNlfWutSKBj+90abbd7lyp0tu0tebrdv86IM9dFVhuz3OjN7Orj5aPN2sWmztC5FtpWiiKfIkaWOEosj80Y/WMSbnFseMaJQtzh+v8eMP9shbKl4gnK7bfY+cpbHT7lMtGAzGm/y5nz9JIsrA6Jp8X3/2QTA0hXLBoNN3+cnVfSClPw44vVLh5fP3JyXXiia7bYcoTpBlCUNXeP9mO6vVzNVyDJwAJnXke4XbNzf7WZJaKa9zZuWTic2n+HhoVu2spm+bQsx8e3tApWjS7XtUiybVkuDvyJLEYjOPLEuM3Yitzoj1vSFpkvDf/dF1DE0lZ6nsd11URcHxQ0xdoVG2hXFjkhLFCW4Y0ahYXF3vsjpbZK/roCkyc/UcNzb6jKIERZY4uVymYOtcW+/y3s02cZKw1/XI5zSOzZWy5L9HYas1yvrplikI2x+1Z2UZKsW8zmB09zz+w3e3+aOfbADw5rvb/Au/cuGJCjmaVYuhK8aTaShPzRo7xc82bEMlbwuzB12bXJcSvHJxhv/m926QpilSAi+fa7LbDUhTyNkqK/NFNvfFuCznDL7/7hbdkS/Ez1WbWsEkilOaVUvw+iZriyxL1EpmlvhgGgoXjtUycZaiyPzx25sZHyaVOJIo9SjkbZ3ZWo6dtliXl2fz/IMfrDH2RN1AUXjsRNxyXtQJDtJz5up53rvZFmIXSdQhq8Unwwc8uVjm/ZttQJipPqnnuReNikVn4JEkwhDw3ue9vtHL+jfVojnlKk3xkVAvWzhemI3tMysP5xt8UfGVC0vAj4/87mkTcACkSUoy0WwlMbxwaubzfUFTfCI8tSKOubk5dnZ2iKIIVVVJ05SdnR3m5u5XFI1GI37jN36Db33rW/zFv/gXP9HzSpKEbX86jbmhN8IwJg5xCciq/tjkJFkJOLlUI4gSLF1BUg1ePFum1fOQ5A7GxE1l5JO9XtuGUlE4ewrnCYVKuUB34JFKCiMnZGNvhG2qLMyUqBRt5ho5js2XMHWVaqXID9/fIklEMyKf04mimG++uMiZ5RIXT84y1yjyd3//Gl4QoyiiCHn59oA3nl858vpt26ZaLhCECboms7k/ImebRHHCudU6SDLnVitHXIK32vtoqobjB8SpzNBJKBUM3FCiOWmWnjlmMz8TkCQpxZz+WIrRoTfEMAy8XkCcSpSKOb56QTSvTyyUH+kQPMUUTwP6o4AwSsiZGquzRQxd4cLxeuaUd4C99jgjIAAMxyEvX5gT7nMpBHGM50dUSxYFS2O/63B8sUQQxOi6wn7f48zkvq2+y7H5IpIksbU/xPVj2gMfTdjPYFkGz51ssDJToFo2Ob1cZbs1Yr6RQ5IEKbJgiYjw2aqdvdZmxUZVpCz2T5YlWj33iIjD9SOWZ4r4VeGyaRkKSkHO5oN2z6NZsfnTrx9je3/EW5e28YNkct+YrdbwkcTWB2G+nqeYM4ii5LHmHl2V+fZr4vlzlkp9Gms2xRRTPAGoisz/4Z99iX/9N/+Q9260+ft/eI3/1S+c/rxf1pcalaLJhWM1xk7IymyRKE7Y2h/TrJj89398E02RieOYMExp1EziWJAgbEM0ZcKJq/TKbJFiTuelszOkpIzcENvU0CeO27IsZc2QKEpo9Vx6I18QllK4vTV45FrX6rmkqXD2TlPhptEd+vRG3idas25s9DPOeRDEbOwOH1hobfe9zN06SQTB9PMQcczWchRsnXCyvsuyxLnVGo2yxdiNmGvkP5V0ks8aXz0/y9JMgTBKWGjkkOWn7z38LCJv6/z6z59iY2+AoSnMN/JoqkKzEhAnKQVbXIOnl6skKfz+D9bY7Tm4bkSUgq5CzlIBiZXZEm9d2ief07AiFUmCEwslTEMjihN2Ow7HF0roqkKr535iEUdncHfMxnHK7a1BRgY4cKX+PMbw5w1Nlblwopa5ej0J0ugUTx9sU+PZk3XGk7SpxyX5+mHCymyRIEqAlNJErGFoCs2KzeJMnpETYhkKNzcHuH6Eqkh0hz4rswXCOKU39BiMfIyJs63rxzx/ukkYxdSKJn6YoE4IlJqiUK9YkKaoikRnEFArWcRJyp3tYUY43++6LDXzE4EqXF7rUpqQF9Z2BrzBg0UcrZ6b7QniJGVhJoepKWiqTM7ScLyQIEwo2NoRZ87DeNAY22mPCaOEuVqOFOHkbBkqV+50OTZfJElSCraWpXQ+6HUd3oNUS2Y2/xYO3V6SJM6sVBiMA1EjfcodNx0vzAQcAK2uOxVxPEFIkhApz9dt3CCmUjCydVKWJZ45UWehkccPY/Y6Tuae2R+LmvfKbAE3ECLvvKUzdh1cP8Y2NSpFk7mqxbnVKiMnpGjrqLJMe+AiBKCitlYvm7xyXtT8oiRlrzumnDcoF0xGTsDJ5QqXbrbpjwJmazmCMEZTZU4sltnvuZkrNCnc3Oqz0CzQ6nnZaw2juwkheUu/rwZ5GLap8itvHGOnPaaUMwRBbeBlAg6Ate0hr1ycE+L3iVvkyA3pDX0aZQuQaPc9Ti2VmanaWcrHwdwwckPiWJylnoTD5OE5LYqSTFwyxRRfBsw38hRzenZmkSTpgWfpw9ifkIRBzBf9UfBIYevKbJFq0aQ/8ri61hMuwLJMqWDw3Kk6rh8z18ijqvKRx/bDmJ22Q6Vg8tWzM1xZ04GUZJI0tjhTJI5Tzh2rUi2YWQqo40WZgAPg0s02zYqFLAthneOF1EoWweTxv/HiIqRk+xiANBV7B2syvxu6xuvPClFZwVKPfCYH7y9JUm5tC3FLztRZbCg8e7LOycWjfcrB2D/irntzq0+1YFIrWfhBjCxLNKs2siQhSaK28TSd/U1d5ddeX2W77ZC3tWly+M8oji+UqBQM+mNfzBOSTCGno8gSlYKB44mkLUmS2Gk5LM/ksQ2VwTjIyNJX13s4bkicpMzUbGQkXjrbpD3wUCSReFPM6UiyMMo4kt7zACw2C5TzBvEhjkExb+D6EYossbYzJAhjTiyUCeKEC8dr5CyN2VqO92+0WZ4p0Op7DJyAjd0Riixj6goFW2en6/ILLy3hBtGH7o0O49RSmVuKjGm0MTQxR93eHjxQxGEaKs+crGV14s290ZFaDRJcPF574DkrTVNa/bvzp+grxx+alDTFp4+Zqk3B1sT3NBkTv/q14+x1xwRBgmWqLDRyjL0o48MMxgHLMwV+/62QkRfSG3j0RgGNssrQCRk6Ac1KDiNViJOUZs0mZ6rM13MM3RAZ0bdQFJkkTVmZLeIFETNVG9vU2O+6VIoGpbzBsfkSt7b61IoWs7UcQydkdb7A68/MP9a1fUD2BnA9kcRd+IhcHEmSOL1UYegEKLJE3tb53R+sZX93vIhrG50jSaCfNmolC8tQP7RuMcUUnyVkWeLsSpXBOOD8sVomHAT42vNz7OyPmW3keO3iPPWSSavrcvZ4levrwjQiTaE7cPHDGMtQ8YOITs/j9FIFP4yplSzafTerX4gEuUH2s+fHjA4li2/sDVFkiWJOE+v5of314+BbX1lkc3+MqkhcW+8hyxKWqSIDNzbvd9F/GIIo4dxKlZmqSJ/VVDlLKyEV5/knJa544UyT+UaeIIyZq312+/GCrXPxRE2kcU24oQeI4yQTcPz/2fvzGEvX/L4P+7z7+559q33tfbv7bBxqhqRIWhJtayHtKIZhxU7sOGYkJwGCAJH1l4AIgeEAgZ3AiAIkhh3HhmTFcRQxFklRFEmRs3Bm7sxd+/ZaXXvV2c959zV/PKferuqq7tt91+7b5wMM5lZX1an3LO/z/J7f8v2CqO0kaTYVgZzy1IRRwqsXZ+iPfExNofIZOTp/kbx/Z/+ETJ4E7Hft3IX4RUGSJRQF4cQhS7x9+4Bzx5zRp7xYvLAV5GazyfXr1/mH//Af8hu/8Rv89m//NktLSywvL5/4Ocdx+Hf+nX+H73znO/z1v/7Xv6SrFex1HPa6Dvqk4GHqCvYkOJBl6ZkOwoauoGtKXuw9sgxv1Uy221quqndUmM1/b2Kle0S777LbtnM1P8cPGTpiw06zDMtS+f/+0T0yRJDlewkjN6RsaaRJiiRJDJ2QoRMLyy07pFLScfwIWYpRFPnEgr3fdfj+e3u53fCRNflsvZAHCv2xj0TCfs+laGl50GfqKp2hx8gJJgWshO7Y59dmzuWPv9O2+cH7+2RpyptX5k6o0zwOUxe265oq44cSqiJhaBoXl+t5wnXKlBeZ4+uAPmnwOEqixEnK3e0Bji8aPCSJPKlXtDTRiPCY+2BlrswPPzggSTOG4wDHi/gHv3cL09T4xrXZvCi633P54H4X2xXDJEgSQZSwOl/CC2L+X//0NlGcMt8ocDBw8cOU7tBnaIj15Np6nThO+eN3djjoe9SKBtWihjQ5SDy6zpm6iqbKaKpI+sw2LA66Lnsdm5ETIkkSe12HLMto1SxqJZOD3sNDY7X4yYLMZ23a0FWZtYVP1zA3ZcqUKR/HQqvIv/tXXuM//ntv8//8xzf5+rU5zi2+eEoCXyWOXK22D2y22mNsN8L1hQrW2E0JoowoTXE8oZZ4f3dElkG9bDLbsNBUmZETUTQVPtrs8eblORZnitzZGhBECXMNizBKub83xA9iFlpFSkVdKENNeNKQ8m7H5u7OkP7IF2q/sVBrUxTpU9v8lgsa+92HX5/lwgGn9/bPovF562BMe+Bh6goXl2tP3TR71nmgVSvQqn3qS/pSmX8BHUS+qqRpxv3dIUMnpGRpXFiqnSj8lQp6fl8amsIH9zr83o+2GNoBcZISHw1GxaCGCUEYc2d7QBDFmJqKospCYb9i4gUJsiQU71VFxNKm/mz3l+2G3NsdkiQZq/NlmlXr1D1bnjRUHDUBvHcPqkWdC8s11M+xqGl7Efd2BiRJxvJsmZn6l9/soyoy9amz55RHOJ7PO06cpEL9dOhhOxGaJkEm0Zw48Bz23byQWi8bWMakKdBQaFYtmlULL4i5vzdir2NjaAprCxUMXcWYPP733hFqerqqcH6hxO9s9IjjlKvrdb5+/aFSk6rKBGECWYZsaYzsUAyE6qpw+NoRDYamqdAZ+vhhjKGJJqUjnpRTMw01V+sCKE6cLQD8MOb+7mgS1xSeOEyw07bpDn0sXeXiSvXU/nZ0/5UsLa/K6Kry2LXv0ZjDMtRTCrVHyLL0RHeBFwldU07kg2RF4oP7XfwwYaZmsTJX/nIv8CuILEs0HmlKHbshP7vd5qDrMNso8vqlGcIood33aA88bj7o4XgRhiY+w3GS0h0OebA/FsPelk7BVMmQ2DwYA0KBuWhptKpCWfqgK5z9kjQliGIGdoAbxPRGAX6QkGWwdTimO/DxgohgElsYusrybIlWzSKKkxPXXbZ0XD9ir+Nw0HWplHVqJYNKyTi1ByZJyt2doWjsKOqcW6xOXG9UlmfL3N0ecH9vRNFQUGSJJM1IswwnCPnBe3v0xwFDJ6BaFA4fmvJQtMXUFSRJOvOe/bwGrXbaNgc9l8E4QNdk9El951njqylTvmzCKOHu9hAvFA5+q8845H1WjuGJcYCuMiI89vXHn8/LBZ2iqXHYE25EIOqdsw2x99tuyM2NIdsHNromUykaIAlhjMO+S6mgM9OwkGUJPxBiVbttB8sQw15HAxxpmrF1MKIz9JAlaSIoFXFnWwyGjpyQJE1xvAjI+PB+l3bfY3G2iCLLFEwF14/RFBnHj5CQ2O06VCwNS1fY77k4foSpq6RZhu2GHHZdBk7IylwJVVGIJgMaBUvl8mrjlGv4o2uMqStsHYwJ4wRFlpibDHCAcNdabIlYyg9j7m4PCaKE+UaBxed4YFPX1Wnt5BnZbdvs91wMTZmIODxfe9HxGKBWMji3WKFeMamf0TRZKugYusrG3mgyeJFx2PNEDiTJ8iGoetmgO/JRFZnhOAAk7mwPuLBcpd330RQZWZaol01UVT6Vu3iUg57L99/dozP0iJKUkqnSqFg4vrhmSZLQVJmhHeCFMfd2h1xYqlIwNS4s10jSDFlR6I0CVFUmcUM0TcXxI/pDn92Ok4vf+UHM3Z0hQycgDBOqJYPFmRKWoU7clDNWJwNe880iBfNh78fxuOYf/fN73NkeUCka/JVfOE+jalEvH8Ujp2unBVNDlmJuPuiLtaBZYLFVQpKEQ1AwcSFUFRnlBRn8+ipSMDUK5vGvVdYXTtZ0iqbGvd0h33t3j43dIVma0hkHaIqMosl53s/QFJCgb/vEsRj60BSZMErpDH08P+Kg5zH2gskgZolf/foyzVqB1kTIqGSJff7oHpprFPJm7GpR59JynXrZJIoTbm70+HCjR2fgMdso8GdeW8hFobYPxzzYHxGECYutkoifnyJHf7R+7HVsHF/UOy4u107E/bWiTrv/sNbf+gIGAB99n75MHuyN6I58CobKheXqdADrJeTezpC3PzpAkmW+dWOeLMs47HsYkzqA40Yoijxxscu4tTXA9iIUVaYz9PjBe/ukacr6QpUoTrC9mCRNqU0GxbwgxtJVGhWTnbaNH8YUTY1KQeWHH+wTRglLsyXWFsps3Jq4CVkqYZzi+hGyJJ3K77l+zB++vc3IDVmZKfH65Rnu7gyJ45SlmRKzjUKejxq7osdHncQAj8vVnYWmKmiaMhGA4ET+C57uLPJpOBLC+aIxdfXM3IToTZVzEQ5NlU8McGRZxv3dEQM7mNSrqtNBtSknMCZCTEfiJZ/3PfR5sDZf4tgyQAYv3AAHCCGZZJKmTZLsqXqknzfiJOXO9gDXj6mXDdYXKp+LAM+LwPN1gn9G/vbf/tv8zb/5N/m7f/fvUiwW+Q//w/8QgL/1t/4Wv/zLv8yv/Mqv8F/8F/8F7777Lp7n8bu/+7sA/IW/8Bf4zd/8zS/0Wl0/YutA2AfHcTpRv62xuT8mToVC3NOqLgAszZRIswzPj6lXzDxIURSZK6t1dto2siw9scjm+hGb+2OyLCOKU7wwRlVlJCnDC2IkGe5tD9g+dMiylAf7NtWizmKryMgJKZo6K7NCNf+w77J5MGZkhyy0SrRqBYIgZqZe4BvXHlqi/cm7e8ICF/jhB/sszxYpmDrVkrgR9yaKeTM1C88XRdsb54U672y9QKNiYnvhpElbJDMPew7Ls2Ix/eN3dgknCYbvvbvL8kwR/WOKJhdXamztjykWNLI0Q1VEk8t0gGPKV4VyQRRFu0MP01BZPrYu7LbtvHEijuH6uQaHfdHg+I3rp52NjrM4U2J9oczdrSGaJTOyA5BEk+dHDwb8xe/CyA3Z2Bsx1yiIwassY6ZmsjJfRZZkfvjBLv1xiOOFjJyAasnE92NUWVh+R1HKYd+jNwrYmiiKH4YulllmtmKeuc7NNgpEScrYCSkXdZZmSvhBwk7bJogSVEXmowc9ygUdVZWplgwsU8V2I84vVU84AE2ZMmXKV4Ff+cYKP3h/j++/t89/8vd/yv/h3//uNOHyJZJlGSDhBEI5tmAIV8FW1UQCoiihaOpYhspBz0VXFdIso2/7zNRM9jsOsiITRSnv3e0xVy+weTBiZlIM+fB+D11TqJcN2klKECZ88/och/0yD/bGVIs6b109207T8SK2D2zKlkYYJqwuVEiTjKKlceNc81TjwLPytatzpGnG0AlZnS+fiEmOM9coECepUA8u6k9U5HwahnbAXkfYLttxyub+eGoPPOW5oT3w6E6UpgfjgN2OcyK+PbovAfojn9//8RZxIpTxHS898VhxklAtaiiyzMWlGu2+x9JMkX/9L1yjZGn8+OYhkPELby0J98yPyRmcxVHTD4jiUKVosNAskiQZzkRpq1E12dof0xl4FE3ROD20Q3ba9qd2/XjytQ3yhoP7e0NqZX1atJzyQrHbthmMA3YObVw/wg8TipaGpsmM3TBvbiiYGmsLVfwwRlVk1uYf3scjJ8R2hStXmmVARrNqEiUpIzvAjxIkJFIy3t/oUyoYkMGd7SH7XTdfE9YXKoxdofq/0CpiWSpxnKJpMnGcoU+KMxJC1S/LFCxD4/Jqg92OjSzJfP3a7GOf6/JsmSxj4vZpnlDe3NwfTxojYefQplLUz1Tm7I99DiaNI+M4ZOvAfmyh4pfeWuZHHx6SZimvX5pFfUwOVuQuRGNmpaS/NMrPuqZwebXOXtdBVWSiKGHsivdgr+NQKerPVCCf8sm49aDPxt4IMtjcH2EaCm9dFvfRD97fx9QVBmOfzsDj4lIVTZHoDAMKhoZkQpQkXJmvAhJFU0NRJBoV0Uz1jevzDG2fe7tjTElCAh7sjxnYIaauoKkKozjkwf6IkqWx07ZBEoNQIzfk1YVKPiS10CrxjWvz3N8bUinqvHVtjvfudliaLZFmKV6Y8Mr55gnX3CN2O07upNEd+pQKet7QsHMsRzmMU1672GK7beN4EY2KxU7bxvVjykUdL4hZaFU5v1QlmKyVX/SQsu2G7ByKGK1gqPhRTKtq0aiYuUL4lCkvCpsH49yhe7/rUikan+ug4lG84Qcxzar1RKGJ48iycMLaPhwjSRKrx84yR+eUesWgM/CYbxZZaBWpV0wuLtc46LvcKLaQADeIuL05QJ80c93dHvLWFQNZljjsuwztkBvnmny02cMPE84vVTnoufTHATN1i2rJYGQLR45KyaAz9NjvOqzMlQjjFFNXqZUN1uYq/PDDAwqGylyjyPsbXYqGUFcPo5AP7nVxvIjO0J8Mogm3gEbZIIwTXrnQOjMPU7S0SZO6h6Er+KHO2ImEw3lBZ75ZIstELmfh2Nr4YG+Ux1jbkxjraV/7Kc83thuyffjQkffB/ogra40v+apOcjwG6Aw8SgXtia5VkiSE0A56IQVTpVLS6Qx8lmaKtGqiX2B1vkyrbvGD9/axDJVKUSdNRbPmKxea7Hdd1shYnStTLZsf65L1x+/s4noRd7YHJElKrWyw23H4+pVZRl7E9XMN4iRlp20zUyvg+TEbeyOun2tSKxuszpeJd1KaVZP5hsWDA3viemhxebV+4nlv7Iv7cffQxg8TJFki2huRpg+HVO5uD6henaNgqnz39SXev99FVxW+MRm+f+dOm/fvCbWcdujyT/50k7/6q1fy5zPfLJKkIldTKxu5yvjR3wbYPrCpFg2KlsaV1TqbB6JvZHm2fMpFacrzxWHfpTNwefduB8eNQBJCTNWSga7KvHq+yU7bwTIUCgWN7sAjjjOWZ0uUCzpxmlIr6WzsieEq309QVZmxE/Djjw756//qG1RLBmkqcuvH95Qb55v4YUJ36DPXKOSirduHNrttm1ub/fw6v//ePv/yd84zckJ22w6tqkV74OH6EdfPz50Qn30cux2H7tBj69CGDFRZhkwo3B/xa99egx/AyBYOBGsLL14T4yelN/JzscpRLPaDqZDby0UYxnzv3d3JYELCP/3RFlcm92Ucp3T6LqamkqQZhqbywb0u+sTd6aMHfTb2hyRJSobIw83PFtk9cJBlidX58iRm1KiVDdI0Q9cUskz8/0HPI8vE3jUaB7x3t0O5IM4RthdyebXO/d0Buqpy/fzJ2OQnNw+EqyVwd2fI2A2plR/uVZWSng8hXF5t8Od/bo23PzqkWjT413710lO/Ppoqc2mlJnJesszqfJnBOKA38rEMlaXZl0u45Mhd+Ch2POq1PKLd9/L35ax61ZQppqFyaXLG1lXlhfx8hLFywonjRe2acYOTQjt3t4e8cfnzcyL7PNg5tBlN8sHtvkel+PLUZB7lhR7iOH/+PH/v7/29U//+d/7O38n/+zd/8ze/kIGNNM3oDDzSibL7o+qScZKd/DpN0TXlEzcPybJ0qvnBD2P6I6H69DTJmSQV15RlCDVOVUGVJRIly5Ukun2PMEpgclBPs4xmzeLcYgV9ovp1NAEVTRo50lRMd5UsjXrZpD0MMAyb7sBj99CmUtSQZRnPj9k6EE0cpqEy2yhQMNW86SJNM9oDl4OeJRq3JFHk9YIYGZla2cBQFfZ7Dr2RL4pS0cMFKssgTuFxKcgkSWkPhJrO+aXqNBkx5SvNTN06U4n2aB04olI0kGUZ1wu5tdljvlnMi6C2GzJyQ0qWPkmGZrx6YYZayWSvbdMbBRQtlYKlkWUpSZIQhjFkYhreC2IqRZ1vXF+gOLnX83UIsL0Yw0ho1kzIJAxNRpLhvXtdgiBi6IQ0KyZ+mDC2Q755Y+GxyZ2lmRJ908cLhBVrpaizPFsmSTNcL87/7lFC9DuvL32Gr/aUKVOmPF9IksRv/iuv8+6dDne2BvzDP7rHr//SxS/7sl5asgw0TaZZtdg9tBlNmjJLBZ1a2SRJB1iGgmWoHPZcTEMhTjKSJMXQZcIkRQUSUlRVY+RGOH5E0RQOdkma0e679EY+hi4cuIqmxrX1JtfWm0+8tiM1S0mSaNUsCqbKKxdan9lzV1WZb7+2mH99/Pxy/EAuSRLLn2Hi9Oh55V+n6WN+csqUL57kkc/n8fg8yzL2ew79sU/R1OiPfDGUrMokSYYESEephwwkRcYNE2wvZG2hwjeuzfHKxRb2ZJ355a+vfOpz7/H7J8sgSVM0VT2RqO2PfAqWyoJaPOF4lzySF/msGYyD3CJc1xSSJEN7obNeU142kjTD9cWQZ0ZGECW0+y5eEDNbsygXDVRFxjLUiRLn6QbpcOLU8dBRQrhFhFHKg2yIZWi5g8eBH59wnvCCKP/vgqlyfb1JlmUkSUa1aGAZQjH6sO9S1DQyMsIwoVG1UCa5wVrZOBE7bB2M6Q49lmdLFEydu9t9VFUI0Jx1/XB633a8CNuNTsULSTJRr54MjD2p2bRWNvnVb64+9vtHSNKzD7d9VaiWjHxQ4+ZGj/HETbVkaadyR1M+Od2hhxcIJwxTV2nVLBRZ4me3D/nRzX3SVDTgZhnYTshB36VeNqhXDPwgRlNEPr5SMrC9aOLKI+7jWslgtl4gmTwGCLXco+Gmw55LpWiy33WI4oSdwzG9ocipV0oGlaJOFKWkxuT9zoSybqmgnVLlv7Je58q6aApJkpTeKCBJUs4vCdety6v1M4UDHv0sHY+DHo0TqmWDZs1iv+sQhAm2F+F4ESVLY65RwDJUSpbO+oL5RIW2LMtoDzzSNKNZtR4rpOUHMb2xjzlRF/04jtd7ZFliplbg6vrz1TA7ZcrTcvpM8vRn5iBK6A39U/v0k1Bk6cw44HE5guMULe3M+mecpsRxysgVjhkXlqt5zPOo2n+aZuIezh5+nWUZ/XHATntMu++iKDJX1xrYnhDD88OEetlgrlFkebaEpim8d6eDpor1J0kzMh6uDXGSMt8ssNAqEAQJvbFPFKVoJYU4FTmeKE7xghg/iHI13LEX8bVrc8zULGwvYrdjU5mIUR1/bY7+B/DRg94Jhd9WzTzz9TtVp/4Mz2dRnNAZ+BORvCevy1M+ex7dXz/L9/az4niM73gRu22bkiVymWchSxKWKdyMFVlCM3XOLRpcWhHupUf9FReX65BBGKX5kHucpLwxGYQduyFjNzxzKPyILMvoDn16A5eDvkd/6FEwNbE2yKBpKotFg9cvzeD40Qn17uPxy3yzSDoRiwSYbRYZOyKmvrc7oFmx8p9Pjq0Vrh/RG/rM1i2SDExZmVyXWJ+UiYPbYquIqsr5cFcYnWzaevTrx4l9PhpzRXHCYT/K+zs+TwfVzxrXjxjYAUVTe2mGzh0vYugEDO2AJBV7uB/FgIjdV+fLLM+WuLbepDfy2d4f8yfv7iDXLCQkGlWDC8tVeqOAKEoxNBVfiUGSyFIhCCWcbcQ9qyoSfihybUdruyyLXiTbC084bcdJemI9SrOMcKL0fhRrqIrMQrNIuaA/tXNtmmakKfm+naTZqXXPsnR+45eevqn7q8Sp2kcyrX28bMTpSWeJMIxPfN8LE0oFDWTh4hPGKY7vE4QJtZJBHGdoqhjMyMgoGzrzzQKqItEoG5xbrOJ4EbqmECdp7mgB0Bm4+b2cZRlBmFKehKVRkrI+X+H8ZKjIekR8+cgJIr/OIEaSApJUuAaNnIAfvLeHqsh849o8v/z1VX7566v52p8QPPXafzznBUIUdvYTOmSEkRhie5bzz/NGwdTyAbxHiVMhAO5O3AOna8qUs3ico96Lghf4J4Y4kKA38Gh8SlHJLxpZguMh0eGxeuyLQpwIQa0gSoTQd/zyrjnTcvZnxN2dAf2RUJBoDzxeOd88kaQqFzSqJZ2hHSJJnLIK+7REccIH93r5BhqEycda4ZYsUeAcjAOiJCFJhCpuFAul+r2OTaNi0R0FXF6tMrZFksN2Q66u1vHDhM7Qo142ubhSY3W+ws0HPXRNxnZDJISCw5W1Gj98bw9FlgnjhAf7Pq2ahaErDO2QD+73eOVCE10T9u5H17TTEc4fD/ZG9Ec+uq6w1xHTsUEUI0sSAydgdb7Mna0BK3Nlbpxv8t5doTohLEzP/ohnWcaHGz1cXwSwAzt4bJAyZcpXmblGgf4oIE5SJBn+9MMDugOPB/tjmjWTpZkSv/L1FUoFnQ83enkUc3m1TrNq5U1ZfpTQqBiMnRBFMnnzyiyKotCqFZitF/jZ7TauH5NlGRt7Q1pVi194c5nNw3GexFQkSJOUIIypFE0yMnYObaJEqM+IglBArWJgGirv3+vy6oXWmcXXw54r1AuB3bbDldUahqbQrJgkiUu5KAZTLEM9NV0+ZcqUKV9FGhWTf/svvcJ/8vd/yn/5j2/yc68ssND6YpVKpwhkWRLOduOQ7tgnjFLGTkTRUsgyiShO8MIYwwuZrVv0xj6aqlAv69ieiNOHdkjZ0pAkcLyQWklYGC+0imiKxI8/OsT1YqI4mTQxy7x6ofWx9uSVok6lpDP6nM4sxwmjZz+/fFJqZZOi5eJ4EbIsnVCinDLly2ambtHue/lwxvHmm/u7Izp9D8eLuL3Vp1I0WJ4pcfNBnyhJOcoyHiXp5AwOe6LZQJFk5psFvv/uPn4Y06yanF+qfmo1zqWZEpv74/zaH7Xk3u86+fczQFUgSUSRdr75+Tne7XWcPEfRG/m8dWUW05imvKa8WOiqzF7HIcsyhnbIXschThJGTsTYCZhvlkjTDNsLefPyzJmPsdAs0qpZdAYekgStibo0QMUy8pybqkh85/VF7mwPyTJYm69wefXh+lAvm7kb5mKrSLWoE8ZCkKZgqOxPHDDmGhamphDFKbomn1C3vbPV5/vv7QPw3t2OkNOdrFftvscvvLl85nNYbJW4vdUny8A0FLYPbdLJQnc8XpCkjHfvdoRyrSR9rmvMy4YsS+x3XbIsw/Vj3pqup58J24djdtsOmwcjojhlbb5Cf+TTHnj8yTu7eEHM0A64slanVS0QxmnuxrUyV+bB3ohyQaNkqaiqzLnFCo2KydbhGE2WMHQZVVHY644J44TFZulEc8XV9Tq7bYdyUefu9oA0zTgceOz1HM4tVEnSlBsXmrT7HuWCLhSwdYWlmScPNm0ejIli0cQ9tAO+9crCY50f5xoFeiOfOE4xNOWE4958s0B/7JMkGbouc9j3iOOUME7YObQJwgTXj+iPfdJMNDQOxgGOHz12KAxgY29Euy9UJA96Lq9caKE8MtQaRAnv3+/mTY0rc+WPPS8fuQSN3c//7DRlyufNQqvE2O2TptmkRvd0zRhRnPLBvW5eZHf9+BMPQz5a4/TD5Jnuq/lmgT96e5c4SamUdA57HmsLj2kOn+RldtvCsXOhVaQ79NnYG7HTtrm3M6RZMTFNlbETsrE7wo9iKgWdVtWaDNRqvH65xe3NAaaustgqYuhiXbPdiEbFxDLEuWyvO56oFcsEYUwUpUhSRr2sM7QDVEXUVDVVomRqbOyO2O84+FECmWhqOFI9htP5k6d9/xZnitzZGpBlYtjvs3INSpKUD+71csfGj1uXp3z2HL2fI0fsSYszz1/e66gW2Z2c2Q1d4YP7PW6cb54YLD8iTlIhnpmKtWa+ZaHKMpIknVob5ppFvCBi7EYossRcXThVDO2Ajzb74gwiwZXV+pnNnpv7Yw56LpsHY3H2mDSen1usUC2ZGLrC4kwRWZZO9Fac9Vq3aiLH0xv77HcdpCzjp3c6lCyNXdPhxkSFfLFV5M72AAA3iBm7IZoq89qlJvsdL3/NNFUmjFP+8fc3cCfuGd2Bz3feWOLGeoOf3DykPznf/dwrC0/1Xhz97Sxj4nDi0Tvqcel73DjffCGEL10/4v173bxx+cJy9YVtpn1aHC/ig/viOcdxKgbDDY105JNlGX6UMnZCxk7E7/3pJoois3toc2dnhB8kyLIQWRraAYYmBCJmGhZeECKRESYZmRcSlXX+H//4I/7Sdy/wR29v56/xz7+2yPmlKoNx8NBtQ4Jr6w3KBZ2FZpHByKdeMbEd4aLzynkhKlUtGZQKGrYr8vPPsk7NNgp0Rz7VsoHrRVSL+jT2PkazYnLQc/H8GEWZ1j5eRgqmyoWlKnd3RP7vzauzmLqa32/nFsv85KNDojhFVQKurtX5YLdLmom1dG2hwof3ewAszxbZ77n0RmKfKxgaBz0XP4iRJIm3rs7g+QlxIs7037qxwA8/2CfLxL16bb2R5wzPL1YneY6z45Pr55sc9F3iOKVc1JlvWtzeGk7i35j/9vfbuVvn/d0R/8avXcP1Iz6438vzhOeXqifyCp83cZLy/md0/nlesQyVg65DGKUospS7ukyZ8lViaa7O8VGBNOOFG+AAIah1FMcD/Pp3P17E6nlDU2X2ug5pmjHSZV5/TN3rZWBagfmMOLIABfD8mCBKTjQzSJLE5dU6XiBUID6ugepZGTnhiQnI3sj/2CYoSZK4tFLLldWyLOP+7pAkhbEbMNsoUi/rrMyWuHauyf/oL1xnt+ewe+hgmepEIbfIjfMtGpND8euXZniwN8LQVcZ2gKLIOH6M48eossRM3aJWNrm+XkeWRTEnTlLGbkizauXXZE+u6ag5e+SElDKNc4sVkiTlymodXZcnPyNey8E44I3Ls5xbrJKm2ROn/qI4zQc4QAxxTJnyMmLqKq9dagm1uaHPRxt9RhPrdNsJoSXsT+ebxWNjqOKeOVLYjJOU2YYFmXDruLha58JSLf/Zr12bRZaF2mAQpeiqzPJcmTTL+Fd/+TJ/9msuv/VH91FUWagJS/Cr31jh7u6ID+522dgfAxKtqoWuKXzr+hy6phLHYiKzUtRPJRT7Yz//7zTN8IKYVy62CMJY9I0cNbrJ0qnGsylTpkz5qvKr31zlD97e5me3O/yf/5uf8r/7935+qoz3JbHYKjG0A14936Qz8ImTjMO+x0xNZ3m2wGHfZ6lVoFQwGNk+C60SrXqRezsDDvsuQZDQrFnMNy2qJYtKUSeOU2oVQyjsFnTSRDQIdIeiEeoo3n4SkiQScp/XmeU4jhedOL/0x8HnNsShyBLX1hv4YYymKo9V350y5ctAU5U8TtU15YTioWgKEMW3oR2wPFNkda5MZyhsypMUgjAiSTJUVUbXNJAyVudKrMxWsHSVw1AU/0dOyNAOybLszLX/yKHu45hvFqlXTJIkPVMx83huRAJW5iq5M8bnqeY4GAfUywYlSyNN0zNdCKdMeZ6I4xT1kf0oiFLWFyvEcUrf9hm5AaYulIyHdsi3XxXf0zQF148pHlPCPEJVZf7ct1bpjXwKpsrd7RFeEJOkKYoq82//5Rt0Bx7z9RKNmsl+12bshFxaPTng1apZfPPGPGmSUi4aXF4TBTtVkfnprXZ+jtY1hevnGiRphqEpJxq3tw7t/L9dXzQmzTVEwXa/83hVqFrZ4I3LM0Rxih/E3JkMocDJeOGw7+XrkSzLJ/IAUz4dSZLlOVhNU/D8iMJ0kOMTc7THDsYBSZriT6zu/TBh5ITcnTTwWYaKrsmcX6pwYbmeDx4kScrqXJnXL7bIMqGQmaQpRUsXytEjn7Ed0p/swevzFQxDxBfHhxVatQJ/6RfPM7B9fuuP7hPGKSNHxAYLrSLNqsm5xSqLMyVeuSCarZ7mTDAYB7SqVq7CO1OzHhtXWIbKaxdbhFGCoasnrq9garx+aYYwSkhT+OC+EGrSVQVDV7jaqiMh4YbxiXimP/Kf2CzcPxabBGFCEManYhjbDU+oUg/GwccOcciyxNV1cXbSVDmvUUyZ8iJSKeq8fmmGKBZ1zadt3nX96IRK4sAOPnETk+2ezBEMxkHeoJlNkvlPymFVigYrc2XSNMXQVQbjgLVH+pmPx1/Ls2VakxyJaah5M2oQJrmThanLjGx/4hwOqiZzcaXKqxdbmLqKJMHVtUa+NquKTJqJ9U+o58u8e6fDpdWacAlxQt64NEOGWA9NQ2V+pkQSpYzsAFWVaE4aR3baDs2qqHH6QYwXJvlg3qP5k6d9/+plM4+xLEP9zHKCXpjkAxwAg7EP0yGOLxRZlriy9nzvSQVT47VLLT6836VU1FEkcZ+MnPDMIQ5VlVlfKJNl4t5/7VILTVWQJE7V9IIw4a0rs9huhKkrGJPH6439h3XNTAx1nDXE0RuJc0ScZNQqJmVTQ9NkfuUbq5yf1DqPRCKO+hiOFMkfjZNUReaViy1uPehh6go3N3rUSgaWoVGvGBz0PBZnypQLOm9cniHNssnalWHoKo2yxWy9SJaRvy4j288HOAB22uKcZVk6/9a/dIODvkO1aFIpPd1gVr1yci34yUeH+fe8QPS4nPWePG+IOPbh1/1x8BQpIrgAAQAASURBVJUf4hg6Qf6cVVWmUTT52pUZXjnXIE5S9roOK3MV0om7TNHS8KOYgqGKe0NTIQNDV1mbL/PaxRaLs0V2D2vsHNq8c7dL0VCwLB3bCfngXkc4wmQZsiSxfTgWQxzH+2oysWcXTY1SQeeNK3PcuNDC8aJ86BEmsfPaUX7+2dYpy1B5/WKLq2t1sgwU5XRt/3H5zpcBRZG5ca6Jf0ZuecrLw7dfW+TqegNZlqiWDLIsy+OCt2+1ubRSI4wSdE3B9kKurNUJooSCqVEt6vzqN1dIkow0y7C9GENTkWWRz1ueLRFFCYoio8gyr12q4wcxlqmhyBILrSJ+GNOomMiynMeslqnl13E8t3CUL5hrFPgrv3gB2xVCde/e7XBuoUqapvhhSnfYzT/Pux2x9w3GQT7AcfT1Jx3i+Lh6yFnfd7yT55/+2P/KDXF4fszqXEWIf6vyiTh/ypSvCjfvH55wsZAlOOw5zDZerEHI84tVDHWMH8XUSxoHo4T5uS/7qp6NMBLD854fY1karh9TKb4cDnuP8vyfwF4QipaYHAcxJaSfcfCQJOmxtqCflCTNuL3ZpzPw2O86LM6UGLshh/0UP0y4sFx9ohWhJEmUC8IWPQgTNFWm23XxwpjOQBRUS6Yo3JVKBuctjY29MdvbA/wgpmTpmMaQOMmYbRQmVrkW3aFPuajTHQWUizqOFzJ0QtpDn+vnGizMlDiYTOBKEideF0mSKBeN/JpcP6I79LFMlSwThSAkOLdQYWNvlB9Wi5b4OD+NZZoIEmXCSARYxc/4fZky5UXg/u6QvbbDfs9hpmZRKmjIMhQMlT4Bpi7WsVbNomSdvEeO7hlFFsMVB5NCp6Gr+GHCjz48wNAVrqzVsQyVaskgTjI6A6HmJ0sSnYHHvZ0h+z2XIE5IJoc7c/Lzrhcz9iPCKMHUFTRVJEQ39sYULY2lmSJbh2OxmRsqV9bq+eGvaGn5ZH5v5ONHMcVDm4vLtZfGUnfKlClTHkWSJP7G/+AN/vp/9Pu8c6fD7/xgkz//c2tf9mW9VPhBzEebfYIwQZHFvlk+Usoj5c7OkCQR6ib7XYeiqaEqMqvzNfRJccMyNEBiabZEvWzkBQ9VFXG4oghVOl1X8IOEWtk4FW8/ic/jzHIWomGAY7H85/s3ZfmLeV5TpnwSlMd8PguWysgOURQZWZbZbjv0Rz6yJONHMWGckKQSqiwTJxlpGqHpKqqq0qxapFmKJEnc3R4QpykDWyhtVY7Fw2macXurz9AOsUxVCCZ8TLOmoSnwmJ8pWhojR8ThkiQcQL+Ie69gqblypSTJ0/t9ynOLH8b83g836U8Gj37lm6t580HR0lBkGUWXqZdMygU93ydbNSv/HpIoEm7sj1BlmUurNcqFhw07sizTqglXCj9K+Oc/2yFOUuabBYZOyEHXoWD0+dr1OToDjyTN2D4cszz7sOiYphm7bYeMDGkifnBUuDze0GPoCsZjhBFaVZOdySCHrimUj6k9V8tPbjASQ5cKsiQ9Nl5oVS1kWUKWxHrUeIEt3J83xJoqoyoyksQL0cT1vPJgb8RB30Wb5KIVWUZTxb6tqRLtgYsXxAzsgHJBR1VkLq806I8DPrjXZXN/jK4pXF6r8Vd+4eKp4a/BOGDn0MYLYmw3xPMTHD9ivlmYnCtO7tdpmrHfcXH9mGTS6GTqCkVTzfNlT9rnz6JoaQzGAbqmIMsSmwfCddc0FK6sNcTjHUNV5Mc2Fh19L0lEo3U8aY44EnYBUFSZJH3YNPFx54iiqeY5wscNpZw+mzzdZ/6LOjtNmfJFIBoqn63pzzTUfGABPl2d7XE5gsO+y4O9EZIkcW6x8tgGXVNXMA2FJJFP/D6IYa/f/9EWbhCzNFviF99cQpblE859RUujM/Doj3xGnhiAd/0QxxNicKWCTsFQmWsWSdKMn95qE6cpC80iWZax3xuiKjKXVmon1oWj+CfTMuI4pVjQkCWZUkHDMlTafY9xkDD0IrIUZEWhXjZpVB6e2XRNEYerY9f6KE/7/h3FWJ8lYpBXyofhpuvil8OLsCepikyzauEFk2FvSezTZ5EkGQ/2bTIylmZKlKzTYm5HFEwVWZHzXIelq9zc6LF9OKY/GQhTFfnUveN4Ebc2+2wejJFliXJRJx0HmIaKZaqcW6ic6fC5dTBmv+fm93y5oJOmGXe2B3RHPr2BhyLLjL0QyxSD95Yhzja6IvPf/tPbuEHMylyJ+WYxj1MURcLQ1VP3cqmgo6sKYZwwsAM0VeYnHx1yeaVGqaCzMvfsQ1PH14Ki+TCPo6oy+gsifvPo5/1l6PV49DnWygZhnOAHiXBRnAxIiIFvLR/c0DWFNMsIwoj2IOF77+5yZ8vC0BXGboSmyJRLBs2qRZKkBEFClkIYx7lKvqrKvHqxeeo6ojhl63DMXsehWtK5tFJHm3zubz3oE0RJ7g78afLziiJTeMwZYutgzF7XOTM/8rIwrX1MAU6IHB+PCxoV48Q5vFLU+XCjTxSn1Eo6F99ayXMNcZqQZSm2HyEDKwtlZFnKc3+aKnNzozdpstW5tFqnVNApTe67zsCb9PBlrC9Umalb+XUkkzrE6FgdwtTVE3lRMSAhY2gZJUvDD8UAQaNscm9nKO73js3STAlDVz9RXTHLxJ7dHwV5P9PxwTDbDbm1NSBOUuYaBdbmH+6z1md4/nleKZjaifd8urZM+SqyMls8rmEN8MINcABYpkqUZsiyQoLC0nPoyPhxhHHCb3//Aa4f06waXP6Lr37Zl/SlMa3AfEZcWqmz2xYWmwvN4hdmM9nuu4ycEH1iPx4nCUma5YpX93dH1K88uYgpSRJX1xvstm16Ix/L0Gj3XSRJKLMsz5RQJwf5OE6xdIVKQWdkh2RmRpbBxv6IZtVEUWSqJYMLy8JKcb5ZJIgSbm70ckU+SYKV2TKqIhOE4uB2VjHw6JrubAUsNIsoikR/HFC0VBZnStTLJrqm0B36mLoinAKekqNp/72ugyw9m2XjlClfBYZ2QLvv0R35uH5Me+Bh6CqvXZyhN/JZnvWolU1W5kqcW6wCwo5wOCkqH1e2XZkriynsSUPqQU8oBQZhws6hzYXlGpdX63QGHgvNAkVLR9cU9rsOvZFQkJmpW4RRSr1s8POvLXLY92lUTK6tNiiZOpahUCsbtGoWYzcShWhFxps46nhBzE7bzq91aaaELEsM7QDbizA1lSTJ2NgdvdT2W1OmTJky3yzy137tKv+3f/g+/9k/ep9vXJ+bNrx9gWwdjgkmScckhdcuzdAbesRJxj/7cUgYp9heRJJlmJqCG8QsNIv4UYyiyLx2qUl34KPICstzJeYaBfwwZjAOKBV0ZusFZusF/ty31ri12UfTZN64NPvYePvLxDRUrqw16Aw8DF2Z2nxPmXIGF5dr7LRt4iRlbb7MftdFkWUur1bZOnTxgghDUyiYGr2RjyxJXDlXo1ERxVFNU+gMRVNl3TIwNYV373b5M68v5n+jM/DyhgHPPxlTfxKWZkoosoQXxLRq1heW5H+aHMOUKc8D793t5Krw/XHAB/d7vHVlFoC5RoEsy3C8iFrZ4OJKje+9s4emyfzS15ax3RjXj7BMle0D0fgUJykbeyNevdA68+/tdxxMXSVJU7oDD9eLKBUM3CDmn/7pJjfOi9/bbTu0qtYJhdlqSTQj6RPVf3nSDH5lrc5uxyHLsie6aL16UZy9eyOflbkK1ZLOh/d7qKrMG095Ln9SvDBTL/Dd15fY2BtSLRm8dvHs12DKs/Pomjot2H4yxm7IQU+IGEWxcKZdnClSKQkXvTBKUCSZxiXRUJGkGd95bZFqyeCw7xFGKUmaoSgSfpDw0WafG+ebJ/7G/d0hSSLu0zBKyMhoVk1KBZ3djnPKoWLrYEwYpbx+aYb7uyNqZYPzSxXqFZPF1idzxTu/VGW3bRMnGaoisT8RbvIDkRc8v/TscYWiyFxdq3PQc5FlicVWkc7Ax/UjGlUTXVU46LmoipQr9T+OC8s1dts2SZoxNxGhepSCqXF5tf6J6gxTprzMGJrC1bU6h30PTZU/lbvm8T1f12QWWyWSNGNjbwSZaLa6vzuiUTHPVNrWVIWraw0Oeq64lmNuOm/fOsQNRB1h59BmY298am1abBXZ69jMt4rUQp0PNnrM1QrM1ovsdW0uLle5ut7k4nKd9+52cteQ+7tDJIRIRxynPNgb8cqxuOxXvr7CO3c6pFnGpZUarh9PapLi3KSpMj+75bI8+XpgB7RqJqvzFXojn7ETUikaGLry3OZPNFXOX/unWZenvNwstIpIkiT29IqZN30+iiyTn0c0deJyw+OGODSuTGqQRwNhBz1x76SZGGI9t1I9NQS2uT8milPm6gW6I59f+cYKW/tjJCS++co8lnX62hwvymOd4/d8Z+gxGAeM7ID+OKBS1IUDh6myPFMiSVOWZkts7I7y9WjrwGZ5rsRCqyiuo1E4cxjL1FV++RvL/PRWmyzLOLckHBo3HllvPikXV0TuKU0z5pvFE+6KzzOVos7FlRr9kXCceBnit+M9OEfPuVExc3eW6+eadIYesiRx43yTzsBjtl7gxrk679/vMXIisiwjmgwEhVE6yd2pGLrKK788w9sfHQiV/tUGqipTKxogQaWoUSuJOtJM3SLLhPP3yA2JJqKpQzsUf7NRYOtgnKu3d4c+jar5ROHZT4rrR+x1HODj8yNTprysXFyuk8Sw37OZbRTY3B+z3xEiq9WSwWzTQlMV0jSjXjEYjEM+etBDVWS+dnmGSys1ehPR5ShKcCf9OSMnpN138/VX9CcO86Hsjb0hzaqZ9052Bh6jY3WIR3MWF5aqk1pIxnyzwOpCmT/52R6KIvHmlTn2uw6WoTJbLxDGKZdWy8w1Cs/8evRGPv2RyM0GYcL2RAj2iAf741xQ4qDr0jwWr+if4fnneaVWfrjXlAr6J3qNp0x57lEMFuoF9gcuErDYKBLHMar6YtUVzy2U6Qx94ihlea4EjzkvPc98eK8rciqaQhilfLTd4+frS1/2ZX0pvFifvucQP4w56LkossTybOkLP9hmGdheiOvHSGRUigZZmtEeeEiAIss82BsiSdLEclT8TqWkUy+buH6U/6wsS6iKRKVukZHlwyAAWwdiWrZoahi6ylxDYWiHjJyQg74LZDzYG6GqMll2tLHXAHD9kJlaAcSXqKqMLD9M5P3ow312Dm1m6hZLM2UReDUKGJrCucUqYzfMbeYbFWHrflQ8rJYMqiUDP4zZOhyjKjLzjcJTvQ+moX6q5pQpU15U4iRlt23T7rskk2JDkmZ0hh5zSoFv3pifNHlkHHSd3Eq8ZGmsL1ZRHhlSO7qfbTfke+/usnkwplk2KVg6jYnltxfEHPZc4jSjUtR5tM6iKQrnF2uszpdpVi3RhCZLzLeKzLeKXFiuMrSFYqjthhPr4AxVVaiXDRRZFmofB+P873UHHrWKecJFJMlS9joOYZTQqlmfu+r3p+Gw7+L5MbWykashdgYejhdRLRnUylNHkSlTpnwy/uJ3zvMHb+9wZ2vA//X//S7/23/zG1/2Jb00ZI/IOiy2inlR4Z+/u01/HBCEMaoslOhURRTw37vXIUkzvv3KAq+cnzkxMF60tLwIGUQJB12HmbrFKxeadIf+ZMhSYuSE9Ec+pqGemXRLJpbraZox1yyeUsz9tIzdkN5Q/P3ZuoUkSVSKOpXixytj+UGcKxjPNYunYpEpU76KdIcethtRnhT+N/fHIIGmyWQptGom+92Udt9DUTwWmiVW5yusLZQ47PvcfNDjrWvzFAyFkqWSphl7XYckyYTitqUx2yjgBjGHfaEgWf8M4ktZlr6U4sXxHMOUKc8zj8YC6TE1eeBE44kfxnzt+pxw6zE0ygVxj7p+xN3tIUM7QJElFrQi+10nb7jvDj1+eqtNuWgQJDFuEBHHqXCtiBJiO0BVZBQ54+72gChJWZ4pnVCfUhSJ2frZRbo4yTjsi8aluYZ1QrE/jBL2uw6SJLHQKjLfLFEpGvm59jtvPEzAH/Rc/CCmXjGfGA8cjxfSNGO3YxPFKTM1i7WFCmsLZyvPDu2AwTigYGonhCg+jqP1t1LUT6gYvkxM19TPCUk64Xhz0BPq8gCvXWyRZilOEHFnZ0AUp5iGQqmgoWsyu20bNxC5sMurdcZuxNgJGdoBbhCTphmKrNCsGnhBxGHfxfUjJEm4Wh/l0o/uc9NQWV0o4/oxt7b6LDWFQvV8s0gUJ3lz4nyzKJxD4pR373YIooRLK7UTTZCSJKEoMhnpqcbq7NiiZ7sh3aGPoSvMNQpnNmG3+x6uH+VrxvHc/ULrZGPe0w6HCGfDj1eoPqozTJky5fHstm22D21KBY0LyzXCKKE39CmYan5fn5XTfloezREk6cnAKXs0kHqEoqWdWht6I5/DnsP2gThPVUsGQRSzuT/K4xUJ2Os6BFFCkqV0B0J4yjFikCQWWiV+/ZcuIsui7nj8KjJEvqO7N0JTFK6er5/4+4ausjJXJssyGhWTucbJXMvyrBjWP1LzbVZkQGKv47DQKp6Ix54mf3IW/ZHPyAkpFbTHOpk8SpZlHPRcEV+e4dT+KGe99lOmnMXRffc0yJKEJIOMlJ+jjnKER3GLH8ST4S+F80tVJEnKG7oBOgPxOS5ap88E2eRuliTxtyxD440rs6iKcDs+iolsL6Q/CgiihCgWw/Fr8xXRE3Hs8Rw/ojPwcXxxlqiWDOaaDxW8D3suhz2HnbZDmmXUSwayJLMyV+bjaNUK/Nyri3xwr3vs+k/TH/uM7Ge731VFPqEy/iLRqJgfK1B1Yj2rPn5w6EWhWbVOxeKqIjMYizpAnKSkqcj1N6oW55fEoMtW20GWZaIoYa8b4voRSQpkGWNdwTCEC8z1803CMGbsRewfOCiKLNw1Jp/342eF1fkK24dj2n0vv550crOe2rMzcf65tz2gVNC4cb6Z76vwGdYmnhwqTJny0mB7Ed3JAPBco8CV9TpX1kWcurk/olTUMZNUDD8inMIlQEJCkSYulqqCLMm4vujzqZSMUzHho7d6ECZiCBtYm+QcuiMx8CBNrsv1hTDVTN3isCfcSY/ODsfP7gVT4zd++RIgXEg3doeM3BBNkVldKH/i4b1TR4qPWTeO9yDNNwsnnEfO4tHn9CSeJk/yReD6Ee2+h6bJzDeKp/aa4yRpxn7XEU4l9cKZrmVTvvocfWZ0TXx2vyih+88SWZNQJrGIrL141w+QJgm9gUcUJ9TL2un17QUghRPrSJY+/me/6kxX009Bkmbc3OgRTqbLHS/iylrjC70GQ5PpDX1sL6I38rm6Vme3YxNEqTicVUySuyljN6JRMWgPfNYXymg9kcx4sD8S6vR7I0xdoVzQ2es4qIpESkZ3KBSuSkWdIBxycaXGfLPAftclI0NWJDZ2h1iGhqb06Y0C1hcqHPRdrq83hMWwqXPjfJP373WRJPj61dn8+n/04T6/96dbxEnKyAn5xvU5VucqJGmWJ3FW5yrc2R6IQ1ujcEr9LUkzPrzfm1iriffh8urJROmUKVMecmuzz9gJiZIUx48wdIUkyfD8mChKubnR49WLM9zfGdIeuPlBa32hguvHXFypnXrMNE35nR9uMhh53NsdsSXbXF1vcEkWyaHf+9NNUVx2QpbnSlxaqWMZKvWymav0Fi0tHxwTQyERUZxSnQydFU2N7727y9bBWBwWhy4rMxX8IOb8YpWRIxo09nsOd7cGzNQLsDPkwnIVRRbDY5oi54es9sDjtYstYUf+nLHfdUSjHoj19FwT14/Y2BXvxUHP5ep64xMXbqZMmfJyoygy/4u/+gb/q//jH/DH7+zyvXf3+ParC1/2Zb0ULM+WcLyT+9sR97dGuL5owIoAz4vIkHCymGCibrM8UyLNzm5YStOMm/d7ucLV3e1hrkS/fSj2FG3irpck6akm69vbg1wFpz8KePVi6zNLurh+xM2NXp48iJP0qRsD4yTlg41ernzzuFhkypSvEt2hx93tISDivoVWgShOieIE14+Ek17fYefQIYxTZEUiiscszZT44H4fTZW5vzviwf6Y1bkyjh+xfWija4oYdh77LLVKLM2WSNMMP4zxgwQJpq51U6Z8ztw432K34zB2QspFnevnzlaIfFLOUdcUbDdkMA6QJSHIcvRzd3YG/PiDg7z+GCcpthuRpBnVokbR0rDdCFWVKVkaW4c2WZbhBwk/f8ylZ32hwr0doZ63NFvKYwiA3/vTB7mDz17b4S//4gVANGl8uNHLXcc298e5kuxB3+XaeoPypMh51AQKQsDgxvnmU7k9bOyN6AxEg0hncqY/fm1HjN2Qjzb7eSE2yzJmn0I5rjPwuLfzcP29slafNnVP+cSUC/pksMpHUSRW50826LVqVj401B8HDOyAOBaDEGVLY22+wtiN6A09xm5InGT89vcfcNj3KE7ul522jRvEWLpKq2YBGftdl7EbTpSopRP3yvJsmVteHy+M+fB+h8E4ZGiHFK0ub12d4+vX5mj3PbzgobLmjfNN/uTd3TxPtbE34i999wIFU5w17u0MchVLWZEoWCquF6Nrch7z+0HMzQf9vEk5itNTDYvHh1oeXTOmTJny5bPbsfn+e3tCeVcSZxZDe1hijpMUVZFP5rQnNcJPiiJLrM6V2Zzk89fmK8/U2NQf+9zZGmB7MVttW7gWxQmHXRdrso7aboQkw8gO2Tm0+dMPDpAk8IKE7cMxS7MlFltF/DChYIq4ZnWuzO0tUbOcrRf44F6XkRMiSRL1igGXHl7Drc0+jhcBMLADXr3QOvUc1hcq3N8dirNZFOexztgNuX7upAPTszK0A25vDQA46ImmtVbt4xu7tw7GeZNue+DxyoUmpj5tKZjyxZGmGb2xDxlYE6GbJEn5cONhP8Bg7OMFSR5fhHHC2nyFmboQinvnTpt373SpFHV+5wcPkGV4/dLDHoWVuTK3NvtsHzqQZdzZGuAHMWsLFXpDITTn+RHff3+fKEoZjAN0XaZRMbG9iDevzLI6iWdMTaE38knSFD9MkGVOOOfsdRy2DsbYXszmwRhrUpetFp9eaK40GURp9z3kyfp4nKEdcHtzADzb/f5VZ/vQzgd72gOPV843v1INpzcf9DjoOux1HPrjAENXkGWJRtlkZa7MucUKv/+TbRw35LDvMXICdFXBdiPiyX2mKcJ9887WgPWFCmGUkGYQRSm1ss7WwYir6w0WWkVuPujjTVT4h3bAxZUaIzskiBJKBU3U5hH3l+P3ieOUWtlAkuCf/miTJBH3q+vHfOuVhzWpT1qbKJhCpOZw4uD36JlrypSXET+MubnRe7g/RsmJ4YiFZon37omam6EpYiB5KM70ex2XH310yHAcIknidxvbg7y2d2WtjqEr+YDk7LEBSVmW2DwY5e5AcZJSMLX8vtd1hd7Qxw9jNFVmMA7yIbCDvsuNc83HCrAamkzfDhg7IYossf4pxJobFZPOULiCaKrM0uzJWuXKXJnbW32SJKNVs9hu2/m6dxTPP47djp27J3/cc3qaPMkXQRglfLjRy9+nIEyeKIZ9d3vAYOIy3Rv6vHax9cK4eE35bDj1mYmSU07AzztFU2Wv7TDRvGb30HnhXDgAfu8nO3SHPgA/u9Nl7IR5LPai8N03FjnoOji+6Bt969r8l31JXxov3ifwOSKKkrxICjB2oy/8GrxQBFxH6nu2F2HoKtWSkg9yDMYBUZLSHqSkaYbtRtTKMt2RT5JkJKmwb48TYZm40CpgGSqNqsXWwQhdlXG8KA/g1uYrLLaKpFlGlKRs7o5IsoyRHZCmGUGUIMsS3ZGPZWoossSbV2a5ca4Bsox+zAp082BMlonfSdOMdt9jda7C2A1ZQCQ2amWDt67MkmYZaSYOhEVTJU4zNEVm5Ib4YZxPyNmPvA9JKmwhDU350iZXp0x5XsiyLG/gmK0VkBrw+qUWP7l5iCTJJGlGGKVEUcJ4YoF6FHw5bsTYHbI8U8I0T24fjhcysgP8MKFkakgSrMwWcbyIOE7IMgjjlDTL6PQ91uYqLDSLnF+q8NaVGZI0Q1MV4jTDCUJ0VeaNy+Lf1UnQbxrq5DBYoD3wIINq2aBVNbl+vslPb7UBGI4DwjglyzIkSUKWJL52dRZJknj3bocwTtAUmTQVSaInDXHESUqSZicUP5IkJUrSz7VoMXLCh19komHnqNhzhO2F0yGOKVOmfGLOLVb5V/7sRf6b37vN/+W/fYfXLraea3eirwoFUzuxv2WZaJ7WFHmyt8jEaUaWwrXzTTYPbHRFJk4y0kQoSFZKBtvtEcNxwMp8FVWWkGUpj8P9IEaWoDP0WGwVSdIM14tQFDlvcrS90+eW8bG9J4gS/DBGliWhtvMphzkcLz6h/jB2w8f/8CP4YZIPcDzr706Z8iIQRgmSJOWNzvDwHk1TcV4/7LlUChqqXKJRMbm7PcBxdSTJQZZAU8S9WiyoxOMUU5NJkpSDnseFpepEKAEUGRw/Jghj4jSlP/RIyCbfTylZ2rQxZ8qUz5mCqfIXv3OeoR1QLRmP3WPDR3KOthfl+a0oSmhWLWplA1mSOOi56GqI7SWMHE/k2LIMVZYZuQHXzzXFmTxKWJotUy3pqIrETz5qM1MzidMMS1cZO2G+BjSrFmGUEobhicHLME7zAQ4Q+3IYxui6ShSn+QAHiFjkqGmJTOTrMkCV5RP7uXAZjh47xHGUN9SUk7+XJBmOFyFJMZapncg32m50Qklv7IZPNcTxaJwxdsPpEMeUT8WF5RprCymyJJ2632VJDGdLwAf3exz0HORJ7rpU1Li2Xueb12b4B//sDvsdFyQJ14+5vzvk8moNXVUhg1bVYr5ZYGAHGKrEuaUK93eGhHFCZ+BiqApekKCpCpahcv1cnZET8uH9LnESkGYZthfh+NGkGVI0J0RxysgR+f7OpCAIEMcpQ9unYIq1QeQZheKvhsy5hSqGrgglz8nzcfwob0yAs2P6E/82WTOmQxxTpjw/2G6Urw9k0O55zE3cepI0pTv0KRxvip3s748b4kiSVOz/hor2hPz8fLOYNyE8jStnEAk3UlWR81phnKSszJYomCqVokFvHLA0iTvGXogsSURxiuvHyDKUi7pYM3WFGxdalC2Nw75Lq2ZhGRrV0sOa5dbBmKKpYegKZCJvE8YpuiqTplme04/iBD8UQ3uNikmaZoRxgq4qtGoW9YpJFMW8c+ehyr7tRWRZJsQ+EtFkF8YpiiyhyFIeHz2paeqs2OZpmrqP17vTNMP14+lZccoXiqLIrC9UydIUY3LWiJM0H+AA6Ax8LEPF8SN09eE9ryoyN843ubPVp1rS83hk68A+McRRLui8dqFFNKlh3tkaIknifpUkcd6Ik4wgTHA80aQepykXlkyQjpzUMsIwYutwzFytgNISNclqyeDSSo0oEb0ZR/dikmQsNgsUTZVaxWK361IpmafqkMc5njc6t1hlZa58KrbMsozO0CPJMpTJ833a+/1ZGLmifvsirQfH18E0zXD86CszxJEkKZ4f43gRQZQwcgJKqY42EXEB2Ou6hKH4DNVKunCxaRUmg+IRjhfjBxFelKBrCsNxgGGolCwVTCgVdBZbRWZrFsOxnzcyg6ixa6rCa5daJ+r5IOogbx6rg9zbGeb9BgDd0cPzBZzs7wmihDBOnvpztr5QYXm2dOaZa8qUlxFvIhZ3xNiNTsSemqrw7RvzBHFKwVDpDoP87N0ZuEhIVAoakiTRHfonXGqHdsAvvrnMyA2pFg0URWZg+4ydiLlmkTR96KIZTeqVR3XJ/shjZa5EEIp/G9hBLlBxdHZ4tE59tAd6YcJcw6Jkqpi6GDx7lDCM8cKEckETzkOTfqFHe4FkWeLqWoM4SfO8xVHOVVcVKkWdNy+LWF8Cfnzz8MRrmyTpifj76LXVJgNyOZMeH0NXztznnyZPctSX9Hn2OnpBfGJ9frTf8lGOfz+KU4IooTAd4nipePQz8yLW7W9vdhD+Q0cOYtDpu7ResAEIx4tRZEmI8EsSP719wPnl2pd9Wc/EfLPEv/vrr07MCcyXuq/7q3FC+ZLQNSWfMoVPbmX7aagUdXYkKBiqUIDQZBw/YX2hTH/ss31gE8UpYy+iVTVx/Igb55oM3ZDzS1WRQIwhmAQ0jicSHYoq8ZMPD8kQk5ZvXZljbIecn0xcqqpCmmQ82B1N7NljWjWTOM5Ymy+zdTDOrZSvrTcwDRX9jIPW0kyJP33/gChOCMKE1mRS99ECqSxLdPsev/+jbbwwIoxSrp1r0h951Eom+z2H2bpIoB5/H7xATBlHcYplqlxbb5w4QE6Z8rIhSRJxnHJvVyhLztQsbm702dgb54WI+WYRXVOEtXiYoCoyrh/y//vefeI443vv7PI//fVXWWyJYu3ICfloo89+12Foi+Jvo2Lx4MCm6cc0KqIxJc0ytg9t4SA08rm8UqNY0AnChIKp4oUJw1FAECfUywZ/5vVF1hdOTnnPN4uMnTC/jysFlXrFRNcUCqaK68fUK0Ll8Ghzn28WURQZL4jZ6zp0+sI6cn2hQtF6/DZ4pNSVZdComlxcruXKVWmaUSuLJOznEURUS0Y+wS5JUC6IgbgjFS4kqEwL2VOmTPmU/A//hSv88c922e04/Oe/9QH/83/19S/7kl4KpIlidppm3NrsM3JCFEWiaKr0xgFJIg7anb5HlmUMnZBoUqT/4H6P9+93ef9elzBKsAyNN6/McG6hyup8hdtbPbYPHSRgvlXk/u6INM0wdIXF1kNr4bPOLcf3HlmGmxt94iTFNBSurTdPNJg/KyJpKuUJyWc5N1m6gqbKeZF22kg55avE5v5IqJtKouA4O0kQVoo6G7tCtSpNMxZnCrx3t8vm/pixG6LKEooiEcYpSQpJkCIR8oP39uiNQ2RJNHTONYvCdXNSfJVlMRRmagojO2DnYEwG2G7MtfUGlen9NWXK586RUlUQJhi6wrX1xpnCAsYjOUddlfnZrXa+N4smRrE3u37E7/7wAXGSUTQVHC/CC0XT+PmlSi56oikKtZKWF091VeLmgz5ZBrN1i+qx/fnv/95N/tmPd8gyuHGuwd/4q2/m19GomvQmDd21spHn+zRVxjLUvFlk7vjQhATv3++w33GRJLiwXEWWJnblsvTYRu0sE/HS0A6RZWnSbJPkj/lHP9tlOBZKon/268t5k2e5qHOsDkOl+HTrW6Wo5yqASE//e1OmPImzctFpmnF7S3y2wyjhoO8xGAdCMblucntrwIO9EQM7RFVl3EA0Zw2dkKHtM3YjLi5X6Y0C3DDmB+/tMXJCDF1hpmYhSfBgf0zB0GjVhyzMFNFVOVev1jWZckFHVVy8UAic9Ic+pqERJxn3doaMnBDLVOmPfWbrFhuTRmRdV040cWRZljv3NGsmpq6caiguWifPA2fF9NWika8tSJP7eMqUKc8NlaJOwdRETVGC2WYBTZXxwpidQ5t62aRa0vNGKJHTPvs+9oOY3/3hJkNbKIb/yjdWaRxbVx7laYY3AO5sD+gNfSQJLi7XqBR19joOtZLB0A4pGBq6JjN/LEapFnUOei6b+2OGdoiuqaiyjKnDwAn4/nt7OG5Is2qyOFPi4nKdb92YxzRU7m0P2e863N8bQpbRGwc0Kyb/3R/c4Ve+vkKzalGytInSv81+z+b25pDV+TIzdTEwaxkqV9cbaKqMrKtYppo3yFYKOrYXcWtTKAGP3JCSpYmBv0mcoygSl1frj32tK0WD3Y5zLCZ6urW1WtLzARRZlqbCL1O+cOIkZWNvCJloBtVUMbBkaEruQtyqmXzv3T26E9eMX3pr+cRjnFuqcvNBP/96ff6kQvBRvW9jb8RhT+RhNVUR9UZDxC6OFzL2QvpDDz9MaVRMeiMxtPZbf3yfkqnypzcP8yH8b78yz1yzSKmg8d7dLkEkzn3NqsVgHKAqErtdF12V2Tx0aFQM7mwNWGgWadUsLjzSdLV1MBYuEpK4/tlG4VRseeRQ0hl47HVdlmeKGLr6mfet/P6Ptthp2yiKxLdfXThVv31eqZaMvOH0q7aeHdW+tw9tPnwgFLErxZD1hapwzZNgeabI997dZTAWw9mSJLFzYLOxN5o4+6a4XoAfpgzsQIi2ThqXkzSjXNDRdRlVlikXDeYbBV6ZqNAXLS3fo1Xl9F59VAcBaNUtFEXKmz6Pq/eD2J+OahOGrqCf4bj5JKb9P1OmPKRgaSfuN8tQefduR+QiNQVNk9nYH5OmGSVL4/xyFT8Qe+tco4DjhfRGAbIEF5ZqSBK5SFupoPEP/+guXpAI99GKwW99b4MkyViZK7M2X2TkiFi2VS9gmVou0taqWNzc7Of9R9fONfK851E/zHGO74GzNYt3bnfojwNkWeJXv7Fy4mf3OjZ/8PYOcZwyU7d49WJLOABP4oizHC6O1g0/iPNcyfGeQhmxfhUtLY+Li5Z2It8RT/ZgzxfuIsfPNJIkXMLe/uiQLIOZunXC4eLj8iRjN+SjiVNHpaRzeaX+uQyqFUwVVZGJJ5YEldKT44dKSc9zNyJ/PW07ftk49Zl5AfN3l1ZbxMeGqOI0e+EGOECIZY3iSZwrJXzt2tyXfEXPjutH3Hwg3Nv2TIdr642X1t1nupp+CmRZ4vq5Bod9D0WW8oaLL5JyQefqWoPtgzGXVmqkmQgGCqYmFO9aRTb3x2iKjKrIlEwxYT9bs4iSlOvrDQ57Lt2ZElkmLNglWWLn0CFDQlFA0xSiJGG2Uc0TI1mWoSgSzZqJHwrL9qXZMposIcsys/UC5kQZY6/rPNZua75Z5I0rM/QGPrWywfmFKuuLFZrV08oQRwr6rhczckMe7InikCxJLLVKxFnK6nz5xPuw33Xyhi/PFzbE883iqceeMuVl4ujeJQMvjAnCBHkyDKZrCiVLI4yF5VnBVJltWPz2Dx6QpiJx4vgxv/uDB/yb/9INAHYObeI0Y65RQJFlqmUdWZKYqZlUSyZZBt+4Nscf/nSHtfkyrh+TZRmHfQ/NDikXNPZ7DoaqsN9zsQyVkqnxs1udU0nAb16fo1LUGTkB1aJBrWzmappXJ+vZ8lyJVy40affF/X50KNvrONRLBspEWWu2UcibV85i+8DOD6S9oY/dCPNGOoDBOGDkfD6qnHONAqoiFBbrZYOCqVGYOBvZXkStbHwqK/opU6ZMAZFc+Rt/9Q3+g//0j/nvv7fBL761zI3zzS/7sl4aBnaQOy8lScZ3vrbMT28eMrYj5psFmlUT24uwvZCRE1ErGZSLOv/8p9sgSaSpSOJtH44BiUbFpDsMxJCfBIOxz7X1JlGcUi5orC9USDORXDkr1r6wXOOw55JmGV4Q0ZvYJ/tBQrvvsjhTOvU7T4tpiMRnbyQU8p5FBU5RZK6fb9Luu+Ic8wImUaZMOYswSsQAB0AmihJHn+962aRoCYXXgqnSHnhEkVBdAgnD1Ehi0fATxwlIEpKU4gcphqoQxAlBlLI6V6ZWNmhUDN68MkN36EEmoWsKf/zOLjOT4r/jRTQqBqtfgl33lCkvGwc9Ny9QBmHCQc89s5AoyxLX1hu0ByLnOHJCvODh3rw4I3JbmqrwRz/bRlMUZDnNlTB1XUPXxLn8rauzuH7ExeUauqbQHYr9eHNvyFyjQJxk1MsGYy+iOSm8/dFPdvPz8Pv3e2wdDFmZE+fzX/36Cu/f7wFw7Vwjv2ZJksS5vO8iSxKzjQJDOxBuGWTcmjRQZZlQwf3lr6/g+jGNion1GCXUoR3mzh9pmiEDawsVojhhZAfcmjR5hHHCz253+NVvrgJQsjSurTcYjAOKlvbExtDjNKsWsixhuxGVov5CFqGmvBgMnSD/bHcGHlmacnmtwWDsUy5oJIkQTRGD2zLnlyq8f7/HbN2iXNDx/Ij+KODGhQbbhzadoU+poJFmGXtdl4VmAUNT0DVR9Lq12SeKH6pXh1HK16/NUS0b1LYH1MsmM3WLOBH59a2DMc2aSa1ksH1g8/OvLlAvm3hBxKWV+glVXEmSaNUskjSjUjDOVGE0dZXr5xp0hz6mrjJTP30emJk0djlHea+vUIPdlClfBeabRb7z+iJbB2PKRZ31hQpRnPLjm4fM1q188LFRNTA0lXrZeGyj7O3tAUNb7OFBmPD+vS7ffWPpU12f7UV5M1GWwdbhmNcuznBlrc5Cq8ilVZc0zVhfqFArm3m8Ui0b9EeBcMMoG1xYqmKZCrYXcndnTH/ok2bQH4WUrJC9jsNe12GmXqA39EmSlOWZEg8ORpRMjaKpEYYJ793t8ItvrTDfLPDgYITthZQsnZEb8tGmaMaqV0y8IKY9cFlslUQstdag3ReD/nONIrcnAxx+ELPfcXKBjs7QY32hSpJk7LRtrq41znxdKkWdK6vCgalU0KiXny4mWp4to2tioLhZNR/rEDBlyueFKsu0qhZZllEwVOIkQ1NFw+fhJEcYhAmKLAZTFUXisO+eeIzXLs4gI7F1OGZtocL1cyfz3tuHot4nIfIkMzUDQ9do1SzW5ivIssTG7ojZmkXZ0kmzjCzNmG+IvO1e12VjZ8hgHKCpMkVTYetwzM+/vojrx3lPRRAmZFnGheUq93YGrM9XGNg+hqaw23YoFXTcUkx36DPffKhCHkaJaF4FyGDzYHymu2Bn6OP6MQVTY6FZQFFkLq3Wnvp+fxr2OjY7bRsQeeyf3T5dv31eWZopoasKfhjTrJovlIvIx5GmQmH+yP1FQqJZ0VmYKfLmpVkaVRNFlriyVmfn0CbLMrJsUi+vGGiqwn7XoVwwMPUMxw+RZRlNlhi7AbqmkCQJ7b4YZvSDmIO+y3crBkVTOync8DFUCjp/7ltr3NsZUikYXFmvn/j+8drEbN2aOmpMmfIpMDQhGtMd+hi6QhglD3ORUcLACZipWXntcKFVIo5T0ixDUyTWF8poqoKqSCzOFPmzX19lc39EvWxw2PfwJgMfYzfkT97dIcuOHK/GfPP6HCtzIm68dq4BmYhbNVUhTVNmxj6OF2PpwvGiMqvnIq3HHXqj+OQe+P79LpqqTMQoJA563onn/M6dTj4s0u57vH3zMBd62es4zDUKZ4roAOw90lPY7nu5mwjAlbU6hz0RYzy6D7f7Xj6AHU1ewwvL1fw53dnq5/nVdt9jrlHIn+fH5Ul2Dh/2JY3skKEdnBDU+KzQVIXr5xp0hh66qpyZrznO+cUqJUsjTlJm64WnHrif8tXhWT8zzyMPtken/m00GlGpVM746ecXXQVNgRSwNIWtfZu1+dqXfVnPxF7Hyddv14/pDP1nijG/Snx1TilfEpqqsPQpGpqelThJ2T60ieKE2XqBasmgUtRZnitjT6Y/R3bAdnvMYBzQqpgUTJUMkazzw4RWzaI/DvjeO3usLZR57cIMB32XLIPeOGB7f0RnJIpHlqXT6Y352e02w3HA5bU6thsKNfuhR71sMi6GoqkkTChXTRZnitzZGtAf+Ri6aAB/HLIkkaUZiiKjqjJLs6Uzm8rgodqOJIEfJgzsAFmSaFRNVFWmVbZODWjIjyjkTw98U6aAqso0K+I+u7c7ZK/jYHuxaGwoi/tJkYXl6NE9NVfvcH/nYSCjHSvGyjJISMJWOEpwJ44+Bz2PnY7DTtumUTbRVIksE6owkiQGFOyBS7mgYxoqYzfC9SOh9C0JdeFHkWX5VKIVoDNw+O/+2T28MOGXv77MjfOtUwlEeaICdjR0UTCeXAx+dL2Q5dM2rLIssduxsd2Iasn4TIOJZtWi+UgOtF4xP5fD2ZQpU15eXr3Q4s//3Bq//f0H/J/+/k/5T/7Xv/TYRNaUzxZZkrDdkJEToqkyFUvnL3/3IlsHY7oDhw83+sJO2FInQ5EZ7b6XJwLTDMgQA852wMDxURWZclHH8YUVepykNKvCerJU0E8MHtpexF7HRlVklmdLaKqSJya3DsZA8PBaP4MYumhpn1jpzNAUlmenzeVTvlpIx9RT4fTZtVzQ2Tkcc2/bxvFjZEXC0FTiiTNPsaixuR8TpyBLGaWCSpyK5kzRgCATRQnbB2McP5q4VhrMNYpUijq3twe4kxxCpagz2yy+1Da1U6Z8UTxa2IrihDvbAyRgabZ0oqEkilM8P0ZRJLKjit8Ey3g4lKnKCqoqoyKTphnmse8ZunbiDP2Hb2/z9kdtmjUTSzs5HLmxN+Ltj9rUyjpZBiMnIAOKhoqhPtzD0+yYQv6kAWTshlSKOvPN4ok8aaNi0qiYjB6xVVcU+cwzLwi1z+3DMUGYYBkqthcxsgNUVaZcqObn7vuT5P7Dxzz52m4fjtk5dGhUTWolHVl+OgWnetnMG55cP2K37SDLEsuzpWmcPOUzw/Njdju2yI1nGbIsoUhwe7NPlKRoqkyaiHXA0FUuLpfZOXTwgpg0BctUaVUtTF3FdgNsNySIYyqWLtTanRA/jDF0hTTNUOTTebZyUecb1+ZoHGvwU2QJXRVq0bYbst91SdIUY9JgYRkq7b6Hpsp544GqyCeaBB93djgSKHkSR2vGlClTnk9m6oW8GQpEfXShWaQ38vN/a1atfE1IUzFg4AWicTaPXR5Zj9RH1o0sy9jrOs+Ucz/+EGmW0Rl43Nrs06yafHi/y4cbfeZbBd683EJVZbb2x9zZHtCqiWv1gwTTUJlrFHjzyiwbe0O6g4DhOBBNbYqIxWR5UieQjv6uhKGrzDeKjN0IafKNI+VITVNoVkQz6n7XxdQU5prFEzHh8bOg60fYXiSGJib7A5A/7tH/D0YBP7PbmLrC164+WW2zWjIeK0Q1tAMOeu4k71I6oXg5FdGY8mWiKsfUrCXRGwAQxileEKMqoo6pqTKaque/0xl4winDVFmaKfHKxRY3LjTZ6zjc2uxTKxl5A+bRfSjLEiVLQ1dlfvLRAXe2+vwL31rjwlKNMIqRJIm5egFVlYUaeKPAftdhYAdIsojXoiRBVSTqZbHW+aFNf+TjBTGWobI8J/ofamWTB3sjoigliFJ0LcCZqHfPNQsn4qhTeaPHxFjH15CCqTFTt55pgMP1Q35ysy0G7KtCPG+xVTwRtz3q0Pzouv288yI2Fz4tmipTKelUXB1JglatwLmFKq2axU7bZr9j886tNrsdB9NQWV+oUinpZIice3/kMbIjokQ0ZauKUKXPMjFMlWaSqP37EQVDRQLCMKEz9OmNfGbqhSfu01sHYz560Kdoqnzt6izfuD5/5s8psnSiaXrKlCmfjiBKRP4gE/mAB/tD+uOQalFnebaEdTw2zLJJriFDKWpYhs7FZbG36rqIj4/u887AY+yGhFGKqSvISPQd4eBjGapw/TyWMzQNNa/tHfZcbt7vsdOxqZUs1hZKj80NProHaor8yJ5/ch9SHs35SULwOcvEkPmjdY87W3029sZUSzqN2sk9M8syHuyNCKKEuYboyXycyJ0sSwzGAY4fYeoKcw3rxHM6q7foOE/Kk3zc7z5Kd+jlwj1LM6Vnqusef58+juM9ZFNeXp7lM/M8onxFzLdlSSJJxBBHLGePFcp6njm11r3EdeoX7917ybm/O6Q/Eg1VQzvk1YstDE2ZFEoL7LYdPtjoUS7olCydnY7DylyZMEopFbRcLWVzf0yjYnBzo48sy5xfqrKxN2I4DkgzkdRr91z6Iw8/SkCRuL094A/f3ubyap0kybAMTSgCKjKWoeKFCV4YY+oKjh9h+xFxmp4OmI7RH/nsd13CWASRIzd47Ib/5tW5SQEqomxpVIo6QZSiKTKWqZ6pGro4U8LxI1w/plYyaD1mQGTKlJeJ80tV7u+OGDsBtZKB7YWoikiQ1CsGq/OVUw4Vf/7b62wdjNjvubSqJv/id87l31udr+AGPbpDjyCMsb0QQ1Xwo5TbW31UWc4Vq8oFjTQDQ5Xw/AhLV/GDRChPlQ1hIx6K9epbN85O5JzFf/aPPqTdFxP3/9Vvf8T/5q+VqJVOHriWZoq4R+tB2cgLNI9jfaHCne0BUZyyMElYrs6VuRMNCKOUuUYB14/ZPhDqM0dWyI8bRJsyZcqU55V/61++wQ/f32enbfP3/8kt/o1fu/ZlX9JLgabKuEEsCnWazMWlKkxUbN++dUhn6JGmGUEo9smCoSHLEbWSSXfkkaWgazKaIuyP4zjj1Qst7u0OcL2Y6+ca2G6ELAslx+MF+zhJ+WhisQ5CEe7q+kPVxoVWEceLGLvCcWpauJ8y5bNHU2XWFypsHYyRJYnzS48MIEtCFVIMYCgUTI25hsVgLNEoW9zd7nPUv5xmEEUJ5aqeD4bN1Cz2+y4FU2PsRex1HN68PJvnEb79yjx/8s4uYZzyyoWWcPGZMmXK585co8DIDRlP1JD7o4Bkoqrm+BGvXZwBhPjBzWN7taErFC0NL4hPNTn/lV88z3/5j29iexFvXZlltlnkw/tdCqaWO1MA3Nzo8lt/fD934l1fKDPXKBDGKbM1iw8n7hr7XQdZFQqrWQaFqka5/DCO+Giznyv4bR+M82LjkQLtWWfiSkHn9cszvHe3g67KfPuVx5/3N/dH+fn+sO8ysn0cP8kFH444t1hl59Bm63BMydJO2IU/2Bvx4w8PHz4fCd64PPux789xkjTj5kY/t4b3gnjqWjflMyGKU3Y7DqoiM7RDSpbGylyJ//p3PsIPY5I0w/UjmmUdVVMpF1Q6Q59LKzU+2OjhBTHfvDHLm1fm+Oc/2+GjBwMMXcEPYvpxwKWVKn6YkqQZQZhSaKpcP9dkpl4gCJMTeXJJgkE1oD8O8kK/rim0aiZ3tge4foQsSdzeGuAHMY2qSbkglOTfuDSDLEucWxT5szjJWH5kGG3KlClffZbnSrnbd7Nqnmgc3mnbuYLuYCwUvcsFncurDfa7Lnsdh2rJ4LVLrROPedBzT+TcNVX+2AGvgqmxPFtit+MwHAcYqsJgHPDD9/Z4+3YbRZbZaYvhuevrDf7g7W1A1FzLBZ2ZegEvjLm4LM5l6wtVlmb7bB2OKRd0NE3CMBTOL1VZbJXQVDn/ewutIqvzJTZ2R2RAvWzw1hUR05ULOrWyThSnJGlKlEqYhsLyXPlUzsUPY25tPlTrjRLhrhiECfJESV2IY4W4QUwYp7n7wHWePUY56+9dXK498+NMmfJ5cH6pyr3dIVmWsTpXQVXkU/nMSlHn0kqNe7tDrIkL8L2dISDWDkmSWJopiTXl8OSaUq+YrM6XubM9YKFZxAtjfu+HW/hhjO3G/Fe//RG/9vOr6KrGUqvE5sGYpdkSX7s6y62tAUkq8jr1skHfDvD8BFmW8/yqIonznZs30IpeCUUG24/wQtEsm5QNQj/CDxPCMD3RlPpxeaMjWjWToRMwmMRzy7PPJj76z36yQ2/oCxcEMr79ygJjJ+T1Sawn/kaBq+t1bm8NMHSVbz3hPDfli0OWxeciTlIcP0JVZBZaRS6v1vngfpeDrsvm4Zif3GojSSKvgJTxi2+u8OH9HiVLZedQJk5T4jRDQjRKR2pGQRUDi2maMlu3cH1xTllfrLLTdjjsu2iKzLml+LG18aEd8Idvb+f7jB8l/NmvrXyxL9KUKS8hrh9xe2uQD0DYXsBu2yWIYlw/4tJqDU0VjmutmsVh38M5Eox2RO3gg/vdM/N3CzMl3v6oTRgL4ZULyzV++OE+cZxilVXcICGKxYC37YYncnG3N3t8cL9LlGYMxgFv3+pwYflsNzlVkTm3UGXzYIQkSXzzxgI3H/S4vzukYGh8/drJIeavX5vlD97ewfUj1iduWiKOgHJRO9EkvNex+f57+4DIGV5MqlRLJrYXUisb2F7EYHzUkxnw6sXWY/McqiLhBkKoNp2IVx/n3GKVu58wX3J0DgiihJma9dihbBDv293thzEQcKbz85QpUwTN0unhqRfNhQNg7EUcyVwFUcpTalg9VyzPlnD9GC94uj7OrzLTjPoLhhfEhFFCkmaYugisjgYzVucrVEsGd7YHAGiqTslS+Y0/e4nSsYaMd+92aA88wkjYjO53HK6vN7iy1uCjBz3kiWrE8kyRvZ6DyIWIoGav43BuscLQDlFkiWpRR5KFAkWcpsRxynt3uxQNhTSDelnLrcfOYuSGVEsafiCaz+7vDFlslk5c7xGVgs5f/O4Ftg7GeeI3TTMqRZ0LK7Uz7Xw19bRqfxyntAculqFS+wytRKdMeVGol03qV0w2dof89HaboqnRqloszZa4tFI/83eKpsr/8l9768zvWYbK2nyZmbpFrWwwGAcM7ICCoSBLwmUnjBPSBFbW6xRMHV2T2W3bFAsaiiznzSquH2HpCq+cb+FFCXsdkVht1Sz8SZNIlonr8YIYWZYomBqj8ZFaeIYfxmzvj6ldPHl/H6nlIEGtZJAkGe2Bc2ItyLIM2xOJrqKl8fqlmROPUTC1vKkGhFLpcbwgPvG1H8RESUrR1J5p2n3KlClTvkhKlsa/9xuv8b//z/+Uf/BPb/OdN5ZYX3jxDqovGn4Y06xZlAoacZzi+DGNisZSq0iSJLnqtiSJhGWrbpFmGXGasbZQQZElLFNlrm5RKZrMN4sstIpcWq1xd3vAyAnRNYVqSWfhEZWYMErygicIe8oj0lSo7qwvVDA/Q8WGo2Y0XVPOjNunfH64fkSaiXt9yvPFbL3w2CGpJM1oVMw8OT/fLPD6pRncIMLUFP6D//SPOR5dZpnEymyZRs3C1FTRzNNzKRoaO50xlq4SJymqIuMHMeWCzi99bQVDUzB0hZETYurKE1Xmn+azdFSwOH6mj+IEL0gomOqk6Wi6Fkx5eVEUmatrokAZxQlvf9TGD+KHyrJRjB+mSJLIX/mTpj1FkbiwVGXohMxUxfl17IaoiszaQpW/9T/+1om/8y/9/EPhhaNz6eaBTZJmhGGMqij4YcK/+GfOEycp93cG7HQcoihBVRR0VeH6uSZZlmIaGoORR2SJs/zRAAcIZy9DV/KmJNePiRMXRRaNPsd59UKLVy+cbNI8i+NxSRgmlAo6tYqMqginkeN8542lMx9jYAsVwChKUBSFoR3QGbgkKWeqhB4Vq4+7hkVxQpykeIFoYn8WEagn5R6PYiJNlb/0ZvcwSvDDhKKpnio0T/n8GNoBjhcxU7OYrRfQVJk3r8zy9//JLXRNYexESJLE8nyFWtHi8lqN7YMxth9xbb3B+kKVt67Ook4cbURzs4EsW2RZxrnFOt2hS6NisjxXYmWmTJpBZ+CyPFc+MbgZxykFU6VZNU98Vqslg4vLNfZ7DiM7zJXhLUulXNCJ45Q4SdFlhVJB543Ls7T7Lo/covn6UzBU3Ilq9uehChdECWGUUDA1PD/K84WPI5qoeEsAEtO83ZQpxzi6PyxDPaW8fhamrj52f380V+754hyiyNITmzhP/d4jX59Fu+/m6+m7d9r53t4d+aRJBplwB9/r2JQsFbKMDNFQqoYxcw2L/jjg3m6fpVYRy9J57eJMPpSSpClFS+PaegNNlRmMfSQJLi3XUFVRS/gzr4ncjkTGYCwGLQxNpVwwWJuvsDYvcm2WoZwQ0jgiCBOOm695QYxpqLx68eTr+86dNpahUCnp6KqCF4jYbDAWqv8ztYljwMfQG/m4fkSGUFt/mtd5ypQvilrZ4K0rJ4ewtw7G9IY+uiYjSxKuIvOtVxb41isLgGjEPCJJUzoDL28+P44XxChuiOOGXF1voqsy/ZHP73zvAbom7h3bC7j1YMgrF1osz5VZnivz1lUR71i6ytJsEUUq4YYxq3NlkiyDTJyP9rs2H232KRc0GhUTXVMII3GfxglcWW1w0HeJ45SypWGZGjN1E9OQ6Q595hoFJEnC9iKKpnam206aZjiTmCdNM1bmyk8cwnpS3D9yQrIsI05SMsRapKkKSZoiyw/zNl+/Ns/Xr02HN543GhWTVy+0uLRUw48TDF3B8yOiOKEz9Oj0XbI0QzfUicuT2IO//eoCUZyysTcmk2SyLMMPYs4v1ZAVCV1TUCXo2yGWrpJmKYvNMvWqwcAWNfkoSUky4QKoyBKOF6FM6usFQ518th5e69AOGLvhM5+FbS8ijsWgVMFU8YM4z43o0wHyKVNOcSQM54fiDN4bBtTLBlGsoqkKYZTy1pWHe8uPPjzg/q4QMb2y1uDqWp2SpWHoCgutk7XFNM1OiKjcfNDjm9fmiRIx1DEYB8zUxFBXGKVEUYIfJWiKzH7PxTRUtFS4zXWHPr2hR3voszoj4m8viImTlJIlnKWEGK1ErWzwjevz3DjfPHMNqZVN/vIvXMi//tMP9rmwVMu/jpMUZbKn9fO+IoHtxfzcqw9j83fvdPL/zjLxeh7VU4uP1EWCMGHx2GsURumJPbc8yZccZ7/roCrSqbzpo5x1Dngcn+T89HkxrQVPeRHY63noqpz3M2uqTG/g0ai9WILNSSYEAbNMuJTf3Ojx5pUXK14XDq8F2kOfpWbhlHPSy8Q0qn0BOWoarpb0UwmMckETqg/jgLETYhoKH9zv0aiYXFypAaL5ozf0CcKYsRdhmQq/+8MHmLrKxu6Ie7tDFFlG12XeuNDkztYIY5IQ+drVGW5u9DnouXRHPiVTpVTQ8cOYsqVxd2dIpaDz4GBMs2ZhaDL/+p97fPBRKWjc2hoSRQlDJ8T1W/RGAb/w5jJLj7Ekq1dM9rsOSZKxdThmpmbh+BEXV2ofaw8axym//f0NEZhJ8HM35rn4mKb1KVO+ynhhwm/98X3u743w/JhzixVURWJtvvLExq2z6I187m4PCcOUkRcytAMkJDb2xqiKaCzRFBlNU9jtuBStkCjJGDsB8kCiVNSZrRX46a1DXD9G1xQ+fNDH9SMO+97k2mTOLVbY67jMN4sEQUy1bKAqMkuzJc4tV7k5USM0NIWRG3DYd/OmuCBK+PGHB9zfHSFJsLZQpjf0GdphvhZcWK7x0WafkR0Cwolj9mOs2utlg8O+C5kQBD1e8G73Pe7vDSETiltX1urTgvCUKVOeW37+tUW+/eoC33t3j//4773Nf/Tvfxd12sj1uVIwVPbaNgc9lwf7Izw/YuSKRiI/CPH8hw2SUZKw33WxvRBZkkgz0SAdJaIRc7aWomsK55cq6KrEjz88oD306A2FEu9Bz+PXfm4tL2qYuoplqniTImZj0gyaphk3H/Sw3QgkuLBU/UwcpuIk5cP7Yp+WJLi8Wn+iasyUz47jA/AzdYtzi2er9k15/mhUTEoFnaEdoMgSUZzw33/vPnsdl/bAxQ1CjvdJBlHK27faqKpMq2qgqQq2FxHGKZqiUDBUBrbP2nyVva7Dg90R7YFHrawDEjM1a9JcXj9TVOFpPks7bZudibplo2pycbmG7UXc3OiRpplQlJQk4lg0qD/NGX7KlK8ymqpguyG7k3trvlXgnTvdiXKbRGfo5W68zZrJrc2+cMY1VS4s1fJGoCedXTsDj3u74lwqS6LBMYpTkMTvHRUm00w0OUWxaHAsGBp7kyaoVi1j53BMmolhElNXcpGFhVZROIlMzsQfbnQ57AkXjStrdb5x/dmLBs2qeWKoYuvQxg9ikITAw9Mw1yjQHXqEUYosS5QLKv/4ew8AWJ0v8wtvLuc/u7E34rDnit9rFvIGS0NTGNhB/r0LT6lMHccpv/PDB/SGPkjwzevzXF4VucckSYWTgi9ioovLNeofoyz+eTFyQm5t9knTDEMXQztP06w75dOx13F4sD/ioO+iKzKLM6U8Fl+dr/Cz221sPyRLM27e77EwU6I9dLm3M2DkRKiKxPXzTb45ca81NIUgShi7EZoicWG5iqpKmIaG64WQwebhmLdvtdFUmWpJ5xfeXGZlrvzEPHmlqKOqMuWCzmHfxfEzwihhMApoToZMj39evv/eHne2BoBQzv751xbpDj3u7gzJ0oz+2KdeNpEkibWFypnDVJ+UwTjg9pZQku+NfKolHUUW+cKz6gteEPPh/R69kUd74Ikh2KrJ1bXGNG835aXn6P44Gv6+fq7xqcQdmlUzV4JVFIlK6enc/xoVk/bAe5hz/5j8wdEalGYZuirchA56LgvNIueXKtzdGeAHGUmSocoyZBJOEE8ENSLiKOb/84d3GYwDCqbK27e6/Oavv061pLPTlgjChO1JLfJnUQdZhg/u93Jn7tcvzTBTt3DcmL7t887tNrIsBl+vn2uyNFOkaGl5fLM8e7YqbtHS8nUdoHlGjHBna8DtzQEP9sfoqsJM3eLNK7Pc2uzzww/2IRNnsT/3zbUnDnLc3x2y17F5504HWRb7w5uVmcf+/JQpXzZ/8JMtHuyPubc9pGBpLLaKp4ahaiWDbdkmCBM2D0bM1gu8c6fDYqsotCoz4VwwdAJ+/8dbE3VunfWFMu/e6ZJmGeNxKIbB45SPNrsM7IDvvL5EtaRzb2dIZ+Dx7p0OsiJNFMxNugMfXVPY7dhUChr/4PduUbBUbDfm6lqdZs3KzwOr82W6Q4+CruIRU7JUDgceri/WB01RJk3uyplnFDhyDOwxcgK2DsY0qxaVov7YfOvHxf3LMyU29kaYhoosCeG+ckFHU6eNly8CD/ZG3N4e8NNbbcIowdQV3rw8w/v3exz2XPY7I4JIuGjIwPx6gd7IF6KwmXDncLohIJEkKZ2BQ3ckhF7WF8rsHI5xgxg/iJlr2sxUrfz8UiubRHHKzqHNP/nhJp2hh4RQnr+63uD8UjUf5k6zjCzN+PB+75nOwvd3h2wfjNk6tKkUdQqmyk7bRkLCMhR+7efXKZhTd+EpU45jmRp7HUfEnhIszRR5cPOQOBH5xu+8vnji5//gJ1u8e7cLwHt3O9zanGGnLXL8P/fKPL/41sPh63r5YZwuyxIlS+UH97pkmehffOPyLGEkmqLLBY0720PGrujHWWoVJ0MaGbIEJVPl//6P3idJMooFjb/wc2v0huLsUC3p/PR2m41d0Rv56sUmq3MV3KfMpzUqJt2hcAQpWhr6sX1vaabEO3c6xJPm7dX5k7F5o2rmNQ5DU+gOPDqTx5prFFg7JoJYKxvsdhwhOiOJRvB37nQeu+f+/o+38se+ul7/zIYjqyUdRZHyYZNm9cvJNZ7Ke07rP1OeU84vNQiPCdKHcfrCDXCAEKE6EtSJk4y3Lp/tbvQ8c2erz3/3h3fFXmCq/LV/8SrV0ov3XnwWTIc4XjAkJBZnisRxRqmg4YUJ2rGGa1mW+Rd+bp27233ubA6YqYsPdm/k44cxpq6SpvDaxRZ7XYeRIxIBQzvE02K8MMEyNRRZQpUl5ppl/vw3DcZexDevz7E0W+bBnk21pLPfc/HDhJIFSZLRGwdomsLQFQ3QSZxQqpjc3hzw6sWzk3+2F7M2X2av7ZCmotE6STI+etB77BBHydK4cb7J1sGYME4wdZUsg4Ou+7EBwF7XeThZm8GHG73pEMeUl5JbD7rYXoSuycSxjONF6JpKd+iz0Co+02Ptdx2yDN68MsOtLWE9nCUpTpigK3A48KmXdAqmRjA5tKVZRtHUiJOE84tVomSi4Kcp9Ec+XhDh+DFJknHQddE1oQQKogkljBJkRaJeNtnrOPxP/uIr/M7373NvZ8T19SaqorLXcfIhju7Ao913ybKMLIO7WwPcIKZk6flaMN8q5QMcINaLjxviqJYMbpxrYnsR5YJ2QuVvv+vkNpVjN8TxI8pnNMRNmTJlyvPC/+zXX+WdOx3ubA34r3/nI/7ar137si/pK40bxMw1iuwc2pQsLU/cJRnEKZQshSjOKBc0LEtDV2Q0xSBKUipFUUirlnVMTaVo6SzPlPDDlHbfo1Iy2Ou6mLqC7cWMnZDttsP5JdF0LcsS19cbdEc+qiLTqDxU9LZdUTQkE01mn8UQx2Ac5MovWSb2yOkQx+dPlmV5Ay6IAdPl2fK0QfMFYbZR4BfeXOKg62KaKne3B3QGfcIwoT8KMHUNXctwvZg0SzF1lSSDNEnx/IhK0yCIUoIgYaZpYhkqcZxxfqHChw/69Mai8LDTdiiaGtWSgSFJHPTcU0McT/tZOhryAIRwxFzCYc/NlfN7I584EQ4jT3uGnzLlq0wUpxQsbaK0KhwoypYYovB8MbQw2yggS/Bgf4ShiTTucBxwd6fPyqwoGj7p7Lp37Fx60HNZmSkx9oWjjx89VGUb2iHX1hs4XkyxoHJns0/J0kjTjGJBxfaEm06SZNQrOoszYp1oVEy8IMb2IhQ546Pv9fPHvLXZ/0RDHPPNIpahCjVqRMOl7UdoZzhxPInXL87QGweULY3bWwNqZRF7bO6Pcf3w/8/ef8Zanub5fdjnn8PJ4eZYt2J3VXWamZ7pmdnI3eUyrCiKhGHCNCyAwsKiAPmFTRmSQdMUbBi2JMACZRs09c4SZcE2IcKUyF3OppnZydO5urty3XzPPffkf45+8Zx76t4K3dXVPdNd3ef7pvumk+r/f57f8/t9A7apk6bZhBwFYl1amS0hyxJRklG2dSREsqeqPBm5+6DjCgEHTPoNx6StgRtNRLSiJvI+MxFHq+tOPs8wSukNg4/sgUzxybF/5CJLEiuzRUZezPJcceLa+Ld/9zxHA48gMEmShDiD+UaRrYMhjheLpD7g4Mil7wRUiyZZnnN5o0Gr42HoMt+4vMDF9QbdYYAqS2wejBh6IUGUEMZCnPH+vQ4rc6UP7ZNrqsKVjQb9UYiuyjh+gmXIRHFGvWxxbqU6cUZLkmwi4AC4szvgq5dmRV2Qi37/UT/A0FQKlsb+kfOpijgOuqIvGSdCjKYqMuWCzv6R+8j5wmHPI0kzuqOQNM0nCYYjL5qeUab40qM9vj9AmDG0+z4rc48WHDwJGhULXVPwg4RyUX9i1+1K0eD5Mw3cR/TcH8TJNSiMUvaPXFbmhIhLUxWunGsiSRJbByOiJGOmZtOoWrx0bobuKCCKU9wg4d3bR0iyBEi0Oh7v3m3zzatLXN5ocHunT5KK+iTLct68eYSuyhNRRt8JGboRlYLBYcfDD1OCUJjs7R05NCom33xhge4wwNTVx5orqIrM8xt1esMQTZMfOisFYcJR38cPE84tVxl5MeuLFZ5br/P/+/6dSc3XHQQcdFyWH/Nvl6SidxRGor8URCkLjcJDaUpTTPF5geNFbLcc0jTDNBTCKGGhWXhIfGkaKlc2Gtzc7rHYLGIZ4vwSjAVVrh9TLuh8942dSTrAyI348bUDbEPj5Yuz3NsfsN/xOLNgoSoKjhfTrBrM1oq8d7dDlKSUCjqOF1K0RLpytWTQ7os+7NEgIEoyMlckFo7ciBfONSd90csbDSoFnaEXUbZ1bu32mW8W2ToYoWsKcZLR6QeTeSmcPqMADF2R6ub6MVGc0R0GlGz9sf3Wh+r+UXAqFfabLyww37SJ4pRa0URVlc+M/DnFx0Oa5bS6HntthzhJ6Y9C6mWDO3sDXD+iYGnM1IuYRkC1ZDFbt/nGlYVJnQ5CcFEp6aRpzmAkUjKQZHEGVhVm6zY7LQfbFNd7nGbM1WzqVZO1+Qq9UcDBkSvSnfwYVZXZOXQ4s1jBDxN+95tr3NsfTZJGQZyF9zvuR56F0/F+1XcisiynPwppdVyiOKNU0PHDlNs7g8fykKaY4ssKP4iZq9k4luilSZLokfWckGrRQHmgp393byD2nDynM/C5sdmlMJ4PvHGjfUrEUS2JOt3zY4q2xm7bYWW2RJxmVIo69bI5qd1VRebG1rhPmEMQZ/z2q6tsH4yYqdm0+/5EdOB6MT96Z58Lq4KAvHvocHu7P0mPev2DNs2K2LueZA3ZWKpQLRmkWU6jYp1ydq8UDf7Sa+vsth0qReOhvsHSTBHbVInjjHLR4O2b7cnPWl2RcKqM92TbFNzFoSvW3L2289g91/GiyRwY4OZ2/1MTcZi6Kl6HE2GNE0A+C/Sd8FTfczr/meLzilvbRw9976DjMN94NE/584osO/31H/98n4tnnq0kjp99cHh/LwgS3rzZ4ddOGHB9mTAVcXyGGDghP762TxxnXD7bYH3h8a6orh+zdTBi53CEbaoUS/pEyfkgdFXmufUGUZyNo70yDvs+pqEw3yigqTJFW2dNU3j/Xpd238fxYgxdJowSTE3BNESMmqGrzNZtLq4J9wbHi1AUiaKlo6kyQZTQd8JJMyFNhLumJElYhiYi0s3HX2aWoVK0dJq1jKOBz/6Ri+NFSBK8dbMNEuiKwsp8ieKJaDLb1FhoFoWLPiJGse8I17D1+fLEHSjLcjYPhrh+TK1sYhmnXSMM/WEXiTzP2ToYTQY3y7PFL3VczxRfTBQtUbhrioKu5djj++tRa0pvGLB35NAZBCiSxE7bwTJUnj9TxzI17u4NBNnL0ikXdEEUHQs7Lq7WME2dpWYRN4jxQyHM8EJB8LBNk7l6gc7QJzQzvECIN/I8R0bcd7oqgyTuVxHjKxEnEoos0en77B45XL/XpVmx2FiuYo7XnJPvRVVldtsOB10RdbyxVJ40i0A8tqpIOH5EZyAIrcdE149CwdIeik48fn7/OI1RYupoP8UUU3zu0ahY/Ht/80X+z//Pn/H//qMbvHxhhitnnyyqdYonQ5Jm3Nsf0uq43Noe4AVisKGpChKC4JSkOXmeoZkqtYohEjfiDCeICcIUWclRA5lGRcXUVGRJRJXf2unj+BFBlNJ3QkxdJs1ytDHh8ME6WFHkUwM7eLgO+LTI/g8/7tTJ7ZcBSZLQlPtxsLIsTd2FP6cYeRHbrRH9Uchhz0fXZF65OMt8o0ClaJDnOTutIV6Q4AQxSZqRZxmKqmCbwtHODxNyJCQgSnMOez5xmiErEiVbQ1UU5uoFTFNDkkCVZdI0RVfFIOd48PCoVD5BXpYn7lSPu5Y0RSbM0snvKLJ0uiZXZOB+V/HDnGGnmOLLAEUW99Yx0SbN8kn/SZElXDem3R+iKNKpe1OWJZI0Y+tghKJIrC2UuLXdJ4xTZqrWKSJ+kmS8eVM4cmqKTJxmkAtnJkWS2DkckY7d4ZplayLe3DNdamXxnH6Y8Ec/3aI79KmVDP5nv3d5koiR5zlHA5+RG2GbGrJ8f3hgPqLn9qQ4/kwcL0JV5YkD95PWJse9z2NR2kkXcUWRUFXxtSxLp5zqFEXiuAWoyBKqev/fR3/C+uXBPujJz+Ghmkj77NbBB+uxqcjzl4M8z9k5HJFl0KyazJxweTNNk/MrNVw/Zq/tMnBCvCBGksV1mWXCkT4MU/74J1s0aza2qVK2DYqWjhvE3N4bEsYZG8sV1ufLtHoeW61QEAUtjTjJuL0z4F/Edx5yeLcecNvXNUW44fd8dg5HVMsmyzNFBm7Iza0eq/MlbFNDVWV0VSFKRA2gKBKyLE+uKUWWx30xcXNpE5MWj5+9f0iW57x4fuaxhk4fBW3cb5Pl04Ir7TF9uOPXpcoS0fj1nvz+FFN8kXB3b8B7dzpomszXLy98pFDp09wbBk7IbttBliVW50pPLOA4RtHSTs0ETyKKU+7tD4mTjNmaOVmDlPG+rigSmqoJEpmhCbdfWSIIE7xQCC/qVQtJlsZEqwxDlYlS4aB7PAMFsTbONwp4QUKcZtzc7LF9MKRo6ciSRE7Oftthc3+EZaqszIm17HhtOXb9Ldk6c/WPNs/SVIUsz9lru3QGAesL5clcQVFkZFnUL3GaIctiX8nyHFNXGN3X1GPoCnd2Rd+pXjEngkEAWRLnOVWRUGSZckGhZOunHIqneHZx0BHXjqErp66fZxm6KqMoEkkqk6QZcZozGBNRf/DOLtdudylYGn/1Wxs4fsTAiRi4IbquoEiiL3FyTXmw71E0dbKxqmN9sYKiSDheQpomSLLE0E2oltJx70QmilOiJCNJY2olAy9MSFNB1jzuc8jjeqhaMug7EXf3BkiSEKwHcUqeg6YpzNZsHC+m70REcTquo0CT779GVZFP9WCO12pFlic/P/7+T987YP/IIc8l1hfK1MrGQ9fAg2u7LMucW54aXj5ryHORmHl7t89Oa8jIi4EcCbB1jSzziNMUN4gBhdlGgUbJZOfQoVoyOOr79EYhnYHP6myZ5bkib1w/RBqngCOJc3mS5tiWSn8UMhqfz+M0Z2WuxEKzQJQIQ4ChGxInOZqqTK4xTZWxTZ3nzzRwvIj37nYnr3/oRly708HUFdYWyozciJ+8d0Ca5bxwtsnyXAnpxH4Fgi+1d+QQxxnrixVsU33oDDPFFFOIe+9kLy3LM2RDozz+WpYkbu30x4lSY9F1KHh3iiQRZzl7Ry6KJLG2WObPXt/mxlafSlHnr7y2ztEwxPEiwtjA1JWJacox2j2R0NusWQy9iP7YTK5ZtYQ4rFHA1FUsK8YZi6IBStZ94YGuKaiqPBFd2ubpvfujenSSJJ0yqOuNAvbaLqoisTZfplI0PvRsdCw8yPP8ob5hb+jT6vpoqsz6QhnLuL8WfdiM9bieOX4s41Oek5q6iln/bNfEB2usD5v/dAY+9/aHdAYB83Wb9cUK5cLUEHeKXw6K9sPiomdNwPEoLD5lb/WzhKHLtPs+cZximSpF68tb23153/nnAN9/c3fidvXnb+0xW7MeG/d3Y6tHnAhXlHbfp1I0WZwpfOjB5PxKlbt7Q7ZbI0qWRhCm3NsbcnmjwUKzwEHHxTIUZFli6EZkGVxcrbN75FAvG6zMlpitWzSr1qSAKdo6X78yz7u3Oyw0bNIsx/VjTENjeabEVmtEwVSYqVgUiwbNisWvf3X1sa/x6tkmIy8ijBNsS0OVJUZ+RBAmvHeng6ErLM+WuLHV45WLs6f+tlzQWZ4rcnDkMXRDZms2Qyfi1k5/QjjcbTuTItELHM6tVHn54iw3t3tYhso3ri4+9JoOOh6tsQufFyQYuvIQwW2KKZ51nF2u8o0r87xzu0OSZnz14hxzDXtCxDhGFKfc2unTG4Ucdj22WyNkWaJc0Gl1Pc4uVQjClKEbkaQ5BUujOwzRFGXs8pfy8oUZ0iynKVlICNGVHySiEanKVMsGz52p8+7tI16/fsjGYpkoyQjCBFmWWZqxmW8I15zuIKBaNjB10TDaOugydIXwYuBGY6KbTtk2OLN4P8qwNwxEVKwkEcYJ5aLBlbMz3NzuYepiLZAkaZzUkZNlOZ+U4ri+WObe3pAoSSdOolNMMcUUn3f8yktLvP7BId/56Rb/2T99nX/0v/z1hxzZp3h6bLdGdAcBP7p2QJJkmLpCkuUszxZp91wOez55mKCqKgVDpWIbrM4XOez79IYZQZhCJppeRVsQphRZIoxShl5EmKSUbCGqlIBaWTQdLq7VWGh+9MHdNjXWFsq0ui66qrD+GHfIj4tjYXS772MZ6idy8pzi4+H8SpV7+0NyYPWEQ9AUnx9kWc6NrR5pmvPjdw9IsoyFRoHvvr7L3/wL55Bl4X5Xr1gsNGyyPGeubgtiZ5hABkVLpTeKkKQcXVfRJBlZEuSlhXoBQ9e4vFHnxfNNNFXm3HIVCWj1fGZrFoaukOdCnLz4mFS+C09wLZ0b/06W5SzPFVEVmcWZImGc4voxcw0bTZVp93wxpJ2frgVTfLkhyxLnV6pstUZIwMW1Bdp9H9ePsQ2d9+51CaMUSZaoFHTmGgX6TsR83cYPE44GPlIm0+p4JMnYrciPsU8QlFpdFy+ISdOMSJLQNIVgTA4SIjExkCyYGvNNm5EXUzA1/sq31icuSF4Ust9xSDMII4/vvr7L+THJp9X1aHXu99CeW2+w1RqhyNJTpXA8iKKtszpfotX1MHSFtfnyR/8RQpzs+jG9UUjB0vjL31zn9euHpFnOS+dnJiRFSZI4v1Jj82CIBKwtlCdCGlWRObtcYaclCKjrC0/+3K9cmuXGlug3vPbC/d5jydZZmStx2PM+83VwebZInKR4QUK9bH5miSBfNuQIwVaeH5vf3t9PdVXmm1cXefNmmywTKdyGrvDceh0JQehVZZlKycANEryDEStzJbH/Hgxx/QgJaPd9gijF0MT+Xi4YzFZtMnLcIKJg6vRHIf1RyPpCiaNBgGWovHpl4aHX++6dIwZuRJqJBJA0yXjujHCZvLnd58XzwvX2V15e5Gfvt8hy+MrFWVRVZn2xwt29AVGc8tXn5ojiFFWRJw703319V9QywPfe3OXf+o3zT0UgXp0vk2Y5fpjwyqUZkiT/0Ht2vl4gjNLJTKRRMVhoFD/U6X+KKZ5FOF7ED97emxCf/vztPf7yN8986N/M1W2CKGHoRpQL+lPPxdI04+Z2f+JCeyvu88Kn6JJ9b39IfzxbvRvEfO3yLO/e7pDl8MqlWSRJwtQVVufFnisc6xPUcapXnufUywZhlFAtGciKxFeen+P2zgBVUXjthblTr7dZtXCDmB++vc/Qi1ieKbJ7JJLQGiWDt24dYZsafpiw03a5tF4jiFKSJOPSeo2V2fITrzFDN2LrYASIuk6Rpcm6qaky51dqeEHCO7d9GmWTkq2zdTDitRcW+cFbewRRwoXVmqgV+/dno5ahTshoJ2tQEGSrckH/1HpAU3x2GHmPv36eZei6yjevLvLzDw6wDI3Fpk6eQ7vv8dZN4aLbHQb8f//kJpc3Gmiq6Ik4bsTGUuWhnujXL8/xgzRj6MVsLJZZXyjzw3cOCOOE59YaNCsWP7l2QD9MWJsvE4QJ9/aHbCxVJm7lM6ZNkowNLjNYndM57AeYGtRLJpomY2gqawsl4iTD0BT22i6HXX+SeOT6MRtLZSQk1hfLJElGydZZmi2iyNLknLj2QE1TtLTJ+qaqErahjVMJEq5v9nC8SCQAhjEbS1WWZ4vUysb9un/qiP2FQLsnzFHDMEXXVcw0x9CEMepz6zV0Xeb9e11UWaFS1gmCmLQgSMutjovjxXQHPpaukOUZAzfkd76xxs3tPoddj7m6xcZSlaOBjxcIg8Yccf0hHdvIAHmOososzZTojXxqJYur55osNAunrrXiibNwmmb4YTZJlJFlibdvHjHyBIn8e2/t8td//RymrnJ+pYqmyeSZSAlulE0GbsR+1+F3v74+SRKcYoop7uPBXtqZhTJ7R+6kxg+jlO5QJMi6fsxXn5vjh2/vk6QZVzbquGGKH8RC1JWl/OjdA2C81/7pLS6tNwDRB7ywViPPmdSgR4NgYgQ1cEKyLCPNc+SxOCzLBA8nzTK+dXmBn99o0x0FnF2s8OtfWeHu3oAkzTi7XKFaNPjeW7uoisxvvbqKqauTftrqx+inxUnKre3+5Fx0e3fA5Y3GE/3tyb4hiPPSnb3hJM3obj7g4lp98vsrc2Lf98OH91xdV3nt6gJv3ThCUSS+fvnZcst/EpRsweH8qPlPECbc3h1wd3dAnGQ4XkScZrx0YXY6w5zil4KKfVpw9KxedWvzJe7sifOfqcm8cunZW1dmyhaqIhEnYGgq9bL10X/0BcWUUfoZ4nhIASJKyguSR4o4siyfuKdqqkK1aLDQtCduWQMnpN3zKBcM4TCjyCRjsvLljQaSJGKQh26IbWpEccrKXIlqySAIE+7uD9EUQcpenStxZqnM1bMz1CvmqQ3SCyL22i6WoU2aIJahsX0wFNGJdZuCpWIaCpc3mpRsXahOH3De649C0iwjioT6f6ZmsrmvsNgokOY5nh+T5DlJmhG66SSZo93zH3pNi80i1aIxaXiAiAruDgOqRYMovu+0HycZrY7LmcXyhxZlJ/8GhHPGFFN8EfHNF5a4crZJmuUosvRIkm6cZOQ5kzUoiBJsUyPNciCjN4o46vvYhsZ83SaKM2xTnUTtztULXN5oEicZQzfE0FWKlkZvFBAnGZIk1r52TxwiV+ZKzNWEQCwn5+ULTX72QZu9oxFn5ktUSjqLzQKGrjL0QpBywigVTVA1RVOEk6muymN3EeFmc9DxsAyVc8tVQBwgLm80uLzRoDcMOOy42KZGyTYo2UK0dnyQe1qkac5MzRIuVo9wNAYxTDvouFRLBs3qL0YslmU5fSdElqSHnBCmmGKKKR6F3//rV7l2t8P+kcv/5f/1Bv/Rv/3q1L3/U0I0JjK7XkyOcLVJsozVWZu9doFSQaczCDB1lbNLFaolk6Eb4noxBUsd/z7UywamobEyXySJc25s9jANhSTO8IOEckHDMlReuThDo2KR50LQWC2JgV0QJZQL+iMTMebqNnP1T39PWpwpPrUDRJrl9EfBKbfyKZ4MRVufJup8zpFmOWmak2UZQRTjhQmGJmPqCq2ux1y9QJbnbO0NMXSVF841afc8dtsOu22HMEyJx8mYtikj5TJBklIxFGYqBV69PM/LF2aplkzCOMVKM2plk5X5MqapUikYNKvWRwqOn+RaKljaQ2dtRZYmNfgxFp9AVDbFFF9kBGGCGwixRMFUGDgBsiRRMKskJQPyHFNXURXhOCkrMpIs85tjk5RjB8vS+Ax/0HHxw4Q4ySiYquhrjUUcYZxhqAoxEmmajcl+GrapkkuMBaUylq5SK5tUigaWoWKbGn/12+Je/Sf//B1kWSbPM2RZYjDyeevmIQBlWyeMU5Hsq6ssNAu8fMKExRsnchZtHeMx5+KPQrkgkoGLjzhbH/cqK0WDmZoQuCVpRrVksjpfZvXE3MIyVfKciRPh/cfXufqY9a1k6RQsDUWWHpnA+Tg8f6bB82fur4cjTzjrVooGC80CC48RzD0p8lyc88mhWjKeKkFYVQQRdIpfLvaPHNo9F9vQ6KsSnb7H/Il9cW2hzELD5mcftBg4EUVL47DrMV8v8NKFWRwv4u7+kN4oFI7zMvzer5zl3EqVn1w74KgvknGO+j6zVRPLUFlfEOTEJE25uzdk4ISASpLm6KrC5TN1VFVh6ISMnIiZmgWSxNbBgK2DEVmWYxkKBUs7dQ+e7KEvNIv83q+c3t8NTeHSCTLDSTh+THcUoKkKiiyRJBlRlKCrjzYQOLlumg/ULEma0aiYpKlwyKwWDZQPcR2Xx4TWLwKpdYopPgx+mJzqb7snXG4fB/ljEL5P7m0PurzHaTYRcARRguPHRHH62B7545BlOb1RgDJ2sz9GeHKGl0O9bPF7v3IWP0zwgpiCpU2SP6I4wzJU5uo2fpQgSRJuEJFmGbom44cJBVPj1cvz/M3fvAAwqbFA1DLv3+swcGO8IMLSFRRFZrFZ4GuX51FlievbfZFCaGqUbJ2/9qvnHvl+kiRjqzXCD2IMXaFRsVBV+dTneHJtTdOUa7ePGLohVzYaKIpCpWiwMlcS5Ljx/j9wQlRV5sXzTZpVC01VREpblBDGGbahEsXZqddSKRpcnfZXvnB4aL4df77m28dnA1mWyLL8Q2dnx8jznP4opFzQ+YvfWOfanftO/tut4anfHbhC3CVJErM1m3rZZGmmSH8UnKohbFPn6rkZRm7I4kwJ21T55gsLJGnGmzfa3Nzu8dVLM2y1RjhezO3dPhuLZWolE31NIU4E+VyShLFOrSzhBwkXVgwaVYurZ5vYpkZ/FPDWzTapKhIXB05I3wmpFHRkWaZgqkiSxOJMgSS1HqphrhaNyXyvPwpPrYPzjQLzjQJxIkz2DF3lxlaPJBWvLYpTeqOQKE5Js5zFZpEgEimut7Z7k/c9OT99RP00xWeLKE4ZedHkrA7i/g7jlDBJKZgataKOqkrMVi1645nw0kyRRjkdJ+fJxHHKnZ0+PSegXrKYqdoEUUq5YLDYLFIvm7x0YQZDU6iWBCfnQi7SNa7f69LqeCgKeF7Mvf0h9ZLBu3c6hJEQbQOThI5jBFHCTms0qeUvrtUYuTF39wan3t9xUhaI+XoYpZi6SqVo8OK5Gc4uVuiOBZz1ioUkwdcfIUKfYoopBI73iWPUSgZpmlErGRx0PPwoIY5TbFNjoVHk3/qN82TjhLdbm10URUaTJfqjEAl5kjo7cCP2jhzafZ/FZpHl2SIvnm/i+jELM0Wu3e5MnjOIRJ0tj1O+4ySlaOkkSUrR0tB0lV95aZFW12NjsYJlqKd6aY2KxZVz9/t1cSLqd0NTnuhc8e6tI+I048yCMJBt9zw0VXmidPDdtoMfxCzPlU71DQfjXtwxHqyxVUXmwurje23rCxXWF+6ftyYcKk15JFdLJJ6IdfpZSQ9dbBY/cv4TJcdJ0eLzi9OMNM1J0wxF/nQTSqb4xSBJMwZOiK4pp87Pzwr2u/6pr3Og2/epV58tAUG9anE0ENzL+ZpBd+g/c0aacSYS3lw/plYUc6AvK6Yijs8Q55arXLsjiphm1aL+GMczWZaYqVm0ez7dYUAQJWzujzjs+sw3bL7z0y3iJOOo73NpTTi8FC2daslgtm4jSxLbLQcQpIqvXJodP67Md9/cYeDE9J2QmaqJFySYhkLR0jnseTy3XkeWJbwg4r//83v4YcLtnQH1snD8UmUJVZNxvZijvs+tnT6Vgs4f/HCLv/jaOrM1iwurtQnZavNgSKvjsdMasdUakaQZ79/rUrBV2l2fRtlAlkXEaxRnxGnK9c0ehqFQsHRaXZfnzzROEQktQ6Vc1Bk6ggytqTK3tkWc20KzSHcYEEYpu0fiM3D8zqnX9CCaVYt23yfLxODnwWSCKab4IiBJM96706E7CthtO8zWbBoVk8tnGqeGoZahUhqTMgZOyNpCRYg2TBVDl7m338P1U7wwoVk1WVsokpETRSJa+PxKlTjJuHbnaHKIUVXR2Nw6EE2bTt/HDRL8MKZWstjcH9GoCALGf/pfvcFWS0Sjx0nK6kIFS5NZmCkydGOO+sJJy9AUFEXi9u6AVs+jOwxYmStxdqmKLEukWcbAiYiMlFrZnBDJ9o8c/vhn2+S5WGs3FsvI4wjiucbTE1h7w4CbO33IRUzg5Y3GQ4SVoRfxr/78HlGSggTfemHxUx8g53nO9c3exL1krm4/5NozxRRTTPEgLEPl7/3tr/C//i++z4+vHfDffucGf+t3Ln7WL+sLAVWVBek6SuiOfMIoAwmub/WEcDvN0FRBshy4ET+/fkin75OOE6IMXcHQVbzxwNPzI1FTJxCnCauzZXRN5s0bHrom8eaNNmsLZeolk7X5EsY4+eN4f7qy0fjYJIpfNrIs54N73QnhZHGmwPLss9WAmGKKD4OmytQrJt1xo23oRgyciGpJZ7vl0B2FfHC3w9u3jtjveEiAJOV0BgFJkot7eowgTCczBDdI6AxDzixWiJKUD+4JooNlqKiqzI/e2aPdD9AUma8+P8tLF2afyWbrFFM8a3D8mA/udcky4RT/pz/f4rAn3O9+8PYeC82iOJ9KOXtth95InOUqxfv3p21qFG0NxxN740zN4vbuAHKwLZWXTogoZODuviA36arE0IuIE1FXrC+W6Q7Ecx+UBOEDJBif5Y/d4l4+3+C7r++SZtm4R5jwr364CQhhacHSybIcVZF5/sx9wvbACbm+1YMcFEV6qN/wJAiihH/1g7sTI5xXLs1OBrqOF/Evf3hPmK9IcGahPBGoFqz7PU2Au3uDSVJvuag/llh+ElmW8Z2fbk1crHfbDt984eFE349Cq+uxOf43MHSFyxuNh8iuHxd3dgd0xv921ZLxoQPiKT4/+N6bu3znp1t0+gFpmjHXsMmznK9dXpgM2KIk41/+aJPeMGCv7RBEgpjnh7HooVsaIy+iNwgJ4pRLazX+hz+/x299Y5WZmsWt7R7v3+ui6ypBlPLtFxfQNZUwTjnseXSGAbuHDoosUysZfO/tXcgF2ds2NebqBVbnixwNAlwvpjsM2D9yqJZMVPX0PT77lMLvzsDn9o5wsW51PWZrNitzxccmQD64bj63Xp+IqoZuxPXNLkd9n94wZGVeGFc9f6YxdW+c4kuPWsmkUbHoDMQ+dn6l+qk99kftbaauUi0Z7LRG7B251Mom797pPLJH/jg81Ndu2JNErrmazb3x89umStHWGXkRH9zrTvr8z5+pY5saMzUxe91tH3HY8xi6ETe2etiWwm7LI89zoiRl99Bhdb7E0myRcsHgykYD8pz/6l+9z+3tAYd9D9tQyYH5ukXRNjjq+Ri6gowgj5cLxmMN5I7riq2DEXf3BpSLOo2yEJ3Wy+bkc6wUDQxNIYxTfvDOAV4Qc+1ul3dudfif/O4lrm/2OBr4vHu3g6rImIaCZajkmXjfZ5cqvHJpFl2T2WqNyHORtHH13NTc4cuAStHA0JVJffy0aTq/CAyckBtbPUZuxEHXY2WuRMHUuHz2w9eFWzt9ekNB3K6VDcoFnaEr1oUXL85w2PMZusIM8msX59BUeWIgZ1sq797pPFRD3Njq8ZNrwlXcMtq8dGGOzsDnX3z/NjuHLkma8uaNNrapEMY5h/2AgRvx2gtLmLpKu+fTHxtsNqsmt7aHyLIg1b94tok0NlT7+fst/CChOwpYbBTYO/KQZXhj4HN2sUK1bDLbsOn0RV1vm+opDkSe59zY7jF0xPudqVmnZohxkvLu7Y4w4ZNESmt3GOD4Me2+T6VosHPosNAocO1uh52Ww53dPs2qRcnWePHC7OQ8+OBzT/H5QRinXLvdEURXCc4vV6mVTQqmyl7bpd3zafc9/CAhjFOyPB/PzGUsQ0UGDEMljgVROIwzFFliZb4EeU6lYNDquSRpxu6hQ3cYMN+wWWgWJ2fqndaIm9s9tg8dsjSjYA84Gvh85yebIt3Oi9k7cvi1V1aoV+7znaIo4V/98B53dwfsd0S6x5mlKr/96upkrzteq84uV7mx2QNgvmE/xOMp2jrzjQIHHRfgIcOYKaaY4vFo9zy+89OtifHBmYUy2+PkLttUaVZNtg4El862Zb7/9h5ekJDlULI16hWTYqxTKxs0Kib/+sebZDm8rbTJxrNMgKKt8fx6nf5431poFri+2Zvs2yuzRV6/0SKKx/3FMOaDez3yHL6v7vG3/8pzNCuP5uYdc5uOBarri+UPrXP+2Z/e5OZWH4BmxSAHOgNRT3zUXvfWzTbv3BJJX8U7Hf7ya+voY4F40daxTRUvEH3Kp+2LAA9xqB58T4c9j3t7456uJnN5o/nMCDk+CkVLo2BpVIqGEKoWTWpl43M/r55CIE0z3rvbIQjF/bg6XzolGnsWsLH08GzgWRNwANzc7DF0xYzo3oFH2XoGjRqynPfuiGTVXVXmt7+++lm/os8MUxHHZ4iXL86yOFMkilMWGoUJcfhROLNYoVGxuHbniLosDj9+mHBjqzdRo8dJxl7bxTRU0iynWjI46vtYhsragojhtAxRUBi6ys7hCEWWKVoaWSYKA9tURaRwnuP6whGjYGnstV3CKCUIhUtD38kxDY08h2bFolrUubXdR1NlojgjyXJu7/SYqVp0h8HkoHU8+DzoeoRxSqvrkWY5QZCiqwqKqnJ5o05lvEmnWc7WwRBFlkVKR5DghYmIahxDkiQurNQYeRHB2PkPYOBEbCyJ5uTm/lC4kykyeS5ex+NEHAVL4+q5pnDsMbVpoTDFFxIjV6i2R24EOQydiGrRoDcKWThBqpBliYtrNRbcghhcSOAHwuGz3fNIEigXRXFmmxqvXJzj6rkZkS5RNKiWTDoD/5QK/d7ekGrJIE4yDo5cJEmiOxSu47IESZZRL1sUDI29I5coyUiSjDjJGYx88oLBvb0htbIpHIcNjYUZm3rZ4LAbEkYpeQ6trs/yTJGhGzFTs3n1+VmcIOFbLy5RHg+Gb+8OJo5kWZajqgrnlqtoqvyxXDYfRLvvT1T4SZIxGIUPHeK2D0ZCwAGQC1LJpy3iCKN0Mug6fl1TEccUU0zxJDi/UuPv/o0X+M//2zf5p3/wAWeXKrz6BYx2/WUjTjJW50sEUYJ6IIs48jAhz3PiJKVg6jSrpmh2nqnz+geHSNL9GM9m1SLLcubqBUpFg3bXRVMVLF0my1SQciplk+4oJIozNDVn+2BE2dbxwoSDrsdCs4AsCbfbvhN+rga6j4IfJqccQ4/6/lTEMcUXDmeXKtRKBkszRWaqNq2eSJGLkhS3I9ztBEFaEoOKVMSPa6pMGqXIslgnciAbG7Kqsow6drfsj53qQNxTezsOfphOCEudfkBnEExFHFNM8UtAd+BPnKkHw4DtQwdDE2fw2zsDmhUTVVVx/RRVkVmbLwln5xPpWbIscWmtztCN0FSZrYMRa3MZcSrc8v0wmaTrZDmcW64QjZ3dJFlCQkJTZbqjgAsrNdIsF+dWJxK9shw6/WAi4kCSee2Fedpdj2rZYKfl0qyKx98+dPiNl1dEqoem4AYJ9fGx9ujEuThN84f6DU+C/SP3VJLx3d3BRMSxe+jeT8/N4f17XV44NwMIt/HjJFEYn9HHGDrRE7mBj8aGNcfYPBg+lYij3fMm/x9GKY4Xf6KUzDzPJwIOEInHcZJ9YQa5X2S8f7dDkmTIMiSZIN51BiGHPW8i4uj0PUZuhKqIvtRh30fXZMJYJgeSNGehUcQLIkxDEa7tScp+2+Wl8zO8f7fLTM1C11QkSTjlf/MF0afrDnzqJRNDlemOQubrFnsdDy+ISdOMKM6YrdnsHjr0xykgsiRRLZs8f6ZO2dZZnS9RsnVkWXrquuH4fry0Vme2ZrPYLHDl7ONTszsn1s0sy+kOg0nPrjPwyXMh5sjyHMcTRi9eEE/rmim+9FBVmd9+dZXdtoM5TqL4tPAke9v5lSqOHyMrErahPbZH/jg82Nc+6vsTEcds3aZoa0RxRqmgo8gSnUFwqs/fG4Xj5G2dr1+ZJ4gSojglCFOSNGcwjAnjBMtU0SWFnUOHlbkSIy8WaUlOiOPF9IYhQy8kzxk77hvUihYvXZylM/CRZYlf++oqB22Hc8sVXr4098j3c1xXDJyQNMsZOMJxt9XxqJfNyfutlUwun23QHQZ85ydbk3plt+3QGfiMvIgwSqiXTeIko1LQaQ98SmNRbW8UMnDE7GdtvkyUCCdzL0woFabr4hcdqiIMxUZehKmrH5m4+ctEdyju0aEXkWU5jhdhaAr9UfjY9SlNs4mAA6A3DHn54ixeEKPIEkVbZ+kvF7i9O6RS0lmZKxMnGY4fYekqrZ73yBrizu79BAA/TLm+2aFZtdlru2S5SM2IohhdExyKoqUxciP8KCWOU2ZrtphlphmOl1CwhHi2bBsMPDFzvXa7Q5rm6JpCsyK4EjM1i94ooGhq6LrCYrPA3qGDMeY1eIFIEzoWtkZJNhFwgFgHT84Q+6NICDgAcugOQ7763Bx394YsNAqUSwarsyX2Ou54vXFJM8EpURWZG1tdmhX7/nM/wL+Y4vOB/iicOJWTw9HAp1Y2cYOE5ZkijhcxciIiWczusywnz0GVM2pFA0tXUVWJXhyiKBLE4rqUJbANjRfOzxBFCW6YTEjJQzeiXIjHvQVFpAbrKpWCRncYYmoKvVHIfsdjda5ItSjSv6+ePU0wbvV8HC+e9CX7Tojnx3QHAZfPnl6rXn1+npXZIkmaszTzaCLob351md22i6pILExTfqeY4olxd39Imor9ME1ztg+dCX/QHPcRl+eEqczd3T5pngtRZJoTxCkvXZghijP+zV87y7/43l0sQyPLhUDy9RuHnF2qAuB4MZapMd8sko/3094wpGTrKIrEUd+nXraIkhRNkXn3VmeSAhUmKdfvdWm+uPTI9zAcc5uOcdT3P3S2eXu7P/n/3bbHXN2kUTGRJenUGeNROBZOHL+nw57P8rhno8gSz51pMHIjdE2e9B2fBkM3PMWh6vSDU+/pZE8yijNGXvRYY/BnDbIscWm9ztJMUaQ7Gyrl6VnlmYHjxxMBB4g+37Mm4vijn9556Hsf7B5xaenZMj84rt2O8a9/epffX37ps3kxT4lWXwQYxEmGoalsHoxYX6x+1i/rM8Hn5/T+JcVc3SaKU25s9wiilGZFOK/8+N19NlsjyHOWZ0qUCjobS0LIcXzQkSThttYbCVeFrYMhO4dDDE3l5Ysz7B05vHO7g0TOmYUKa/Nl/uzNHb7/1g6lgsHZxRIHXZc4zojilNX5EookcXO7x2HPY32hzMsXxfCzaOsM3IihG+KHMZWijipLWIZG2dbxw4RayaQ3Em4Xrh+zd+Ty5o1DfueESirPcu7uC9eandaIKE6JkgzbNPHDBE0Rjn4zVZM0h8OOS7vn0RtFHPY81ubLvHRh5qHPUZYlKkWDasmYbBaqIqPIMpoqYlMHJxodH9W4MjTliR2Bppjis0YQJtzeHRDGKfN1m8WZj25cGLoyIX4BaJr478AJJ4k2C80Ce0cuSZKxNFOcDFhqJXFoeO+uz1HfR1cl7u2PuL3TZ/dwhG1qBHECucTqfAk/iNk9csnGoqwgTCjYYoAiSRKSxOR+M01VDBWCiIEbHieCk+UZeZ5P4hZtUwVykjQjz0FCol62GTgxaSqiHgejgD/8ySbkEvWyUNg/KN6qPHAYqBb1hwZO7Z7PzuEIVZE5s1R5oiamqZ9ePwz94fXkwYPI8XA5STK+99Yu7b4Yrv/qK8voH0LGiOKU2zsD/CiZ7CHH0FQZRZFE/GCW0RmGvH79kGrR4MxiGUmauupMMcUUj8dvvbrGrZ0B//2f3+U//a9/zn/y7//KZGA+xdNBlSXaPZ/OQKTrZVlOlqYMvYQszQnjjGbFwDY1tlsOSSZEjLkIz2D70EFCRBafWSzT6npEcUqjYmHoIrI0iRNGTkgGkOc0xs4Rmipj6gq7hw5RklKydS6tP9qFOooSvvvmHt1RwFzN4lsvLD1RxPDTIIgSvvvGDn0nYrFR4JsvLJwSt+uajDwmogMTwfYUU3yRIEkSjYpF0da5vtlj/0iILIZuwNpChSjN2G459MeEH02BHAlFFmtDmj3wgLkQRiuphGWqFCxdiLcRfYRKyaDVdRmMQo4GPoNRiBcm9IYBqipzdqnyiQYQIAgaWwdCfJKP32OtZLC+MK1Bp/hy4+Q+ZhoKeQadvg8SWIbCwI2Jk1Ccey2NSuH4fJrxn/3XP6PvRGwslvlL3zzD/pGLqso4Xsh339jFjxKWZor0BgE3dvoUTI1SQcfxY9IsR5FldFWZkAFVVUIfi0MiKWXoiDXB0BT8MOYPf7JJmmaszhVJk5yCpUMuI0uwcygc+yoFnRvbHdwgpVIwOLN8n1QkSfDGjRaOn9AomZxderI6cuCEfP/NXdxQ9AcnKjWEq98xysXT61T5RFqJ/IDwxdSVU/3CJ0nCsHSFoRuy23aQJYkLa0+XdmEa9x36kB7dH/g4kCTpvmspgqQ7TRz4fCPLcm5s9djruDh+TJ6Lwb+uqThBzD/7k5v80z/4ANtUefl8k8O+R5bmeGFMlmUcdgOCKEVTJEI9oT8USX05wrCoUhSJ2u/d7dDqusiSTJ7nDJyIoStmBt1hwFHfJ4xTbu8ORLIfgCyhjU2PjteGoqXhT+4XiYKpEkUZe55w0/+kgmpTVxkS4QUxAyekUtTpO48mI7xx/ZA3bhziBQnPn6lTtPTJPZTnOe2ez+3dPkM3xDI0dE1GkpiaMk0xxRiqKv9CDH2eZG+TJIlmxSRJMu7tD9g5dLi7N+C3Xl2lUbFw3IB/9P95m4OOR7NicOXsDHGasdQs8trVBaIkHSePisRSRRF1zOpCmXbXY+hFlG190mM/2Y9v9TxGfswb1w8nRnW2odKoWBz1hfhLN2RUVSbLhMt5wZLI83zShw/ChN3DIUM3QpZEYqqUy8IQww346fsHZFnGbL1AnGYcdX22Dodstkb85tdW0RWZWzt9onEiQByl7ByOGHkxXhBTKRlkWc7mwYDO0GfhhKBNVWRmazalgjb5nEXPR0OWpTH5VqJc0ClYOo5/n7ihj3s/pq6ia/frvgfnFcfYO3I46HgYmsLZpcrHTk2b4vMHVZHvi7E/RzheJ0SNHn/ktQmipg/jlL1D4Q6+OFtEU2UqRYODjsvN7b7oYSzf72Fo6v33b6gKe0eOSBwzNFYXRA1TtLVTxEjb1Lh3MBTGGGkOck6aIwwzJIiSlL4T8i9/cJeXL86w3Rpyb3/Enb0+eS7WjpW5IooiYRkq+x2XvhMydCJqJQNVkWnWLD6416M7DPCCmCBKubXdp1Y2mRvPdVtdl87Qp90PKBgKL5yfncz3QKy979xq88FmD1NXHuJL2KbKG9fbtDquIMLPFlFVGV2GrYMRQzfEDZOJy3n9xHUiSUzWv3v7A15//xCAr12en4iNj7FzOOKwJ86NZ5cr017tLxjH94gfxux3XNLtnN1DIdBUxvtjlov0vijKkGQJQwJZkQjjDEPLcENh8DLyI9JM8IIkxLW/13aQZYmbW128MCXLcuplk7t7A/7wx/coWDqKLK4vMWsei7HynCBMxskYgqdzd29Ammb4UUrZ1ugOA1pdj3jc19c1wU0oF/RHrlWPEmZ81PU4xRRTCLxx/ZDvv7WLJEv89qtrXDyR2FqyT/fPaiXjFB+uaOuTvttCs4iERJZnkAujKC9IKZgavWFEpWwgyxLy2HquaGnc2OoSpznNikh6Oq7PgyhhuzVk59BF02TWFoRRjTXeN6olk922Q5pl6JpC7YGeQGfgs90aIUkS8w1bzDGcEE1ReO5MjT/52TbtgU+zYvLtl07zaSRJYqc1hByqZQPT1FGk+695c39IZxhgGyorswV++O7B2OzCRlUkDnvCjLpc0Nk5HPHf/dktAH79lRWunGtO+ER5nnN3b0jfCSlaGitzRTb3R3hhQqNsPnQWe/A9nex5aprMre3+5Jyjj2sm8Yb4VPmL/VE4SVZcWyh/qNmMF0R89409hl7E6lyJb1xZ+FRegyJL4+d9BpMDvuQwNIW3brbZPBhiaAq/8+qzl5zw4pmH+yTPmoADmHAnQCwlF58gffzzBstQRLBAkmGbKrXSsyfoyvOce/vDsZmIyrnl6lMlsU9PVZ8DbLVGOJ7YfA86HgMn5OZ2nyTNRLPRi7l6tsmdvQGX1upsHQyJ04y5uk08dshy/QFZmqMZojF32Atw90T6hCzJ3NjpMfIjwvEA5rA3IEtFMkeaxtQrJrO1Al4UUymKwqs7CvCChEpRxPEuNGwUWRQ1JVtnoVlkrm6jqRJ5DpfPNPjhu3sTZ5/5RoE4zTns+fdVUuPiIgoT5PGBzg+EKGSmarHQLGCbGo26xVHXR9eVSZNSlqA3Es2Nxw1iLqzUxhHBOUuzpUkUWq1ssjpfoj++YZ41FeAUU3wYNg+GE4fqnUOHckGfOLU8DrapcXapQtEUMXWVgo5tabR7onEZJxk/fGd/ova+dzCkXNQxdZU4SbmzN6BRsViZK/Kjd/cnLr9v3WpTLog1pGCoHHRdZqoWUZxyd3dAkgkXkIETUS7orM2XsC2NNMtx3Ij5ZoHZms1+xyUIE75+eY63bh6JQYopBi1XzjZZmRXxv7apUrA0yrZ4D7/96hofbHZRWhK7bQdFlonjjBs7fTYWyiiyzM/eO+A3vyoKycsbDYIopTMQ8bDnVk6TMqI45e7+AHLxmdzZ7U+cPT8My7Ml8lw4HdfL5iOTf1bmSrx8cZbt1ohqyeDlC7MAvH+vw+64KX3QcXn39hGvXJx97HNttUYTx4CDjke5YEwOWooic2G1xm7b4ajnU7Z1kiTjqO9TtLXPvfv6FFNM8dnj3/lrV7i3P+TanQ7/u//HD/lP/v1fpfkMxkl+XpDlohGnKjL1ikWzavHunSMURZo0ELM8xzaFo+TyTImdwyFJIlz3s1wM1cIo5e7ukHMrVTqDAD9K+OrzcyzPFNhtuzRqPnGcUa9YvHiuyWxdRJDHccrd/eFEQJk+xPwWeOvW0SSafLvlcH2rx+WNx7vjfhK8daPNYVfUH/f2h8xUbS6u39+PNVXh/EqV/Y6LqsisTgc1U3yB0ahasNkjSYVLtxcmHHQ8CrqCH8XCEXL8u5auoCgSqiwRjwW7kgQKIqhD0xSaZZN6yeTccvVUH6FgqLh+zO3dIUVLR1Zkrm92KVoa840Cd/eGn+ieT7Oc2zt98lzEfo/ciLPLVdo9n6KlM1Ob7iNTfHkxW7eJ04yRG2EaNmeXK9za6YMksTxj06hajFxBZr680WC37aCpMu/f6dAa75fX7nTIgSsbTeIk40fvHhDECTmiP7B76FAq6IRRSnfk06zYxEnKUrNIuahzd5yO+e0Xl3jn9hFRnLI0riFcX/Tcvv/m3kTA+fbNI9YWS7i+TMnWCOOEfEx60lSFOBUEqyhOOep5LIx7bq2uR5LkKJJEECUc9UMa1Y8+g/70vQN6YwOb3UOXsytlBqOYoqXx1efvu1svNIt85blZNvdHlAs6L5yf4eDIJckyFpvFUw6gj+sXfhgyxEDR0BQkSeJpdRLrC2VkSXw+s3X7U3FEvrBWY3v8fpaf8P1M8dmh1fW4ud1ndbaEF8SM3IjZmsX6YoXdQ4ehG+EFyYSMULQ0TF244wZWQpJmgrw3JtcdCyxMXSVNMwxDZbftQA7Nikmc+KiKxGzNYrFZ4K2bR6wtlFmYKfJnr28D0CybjPyY58/UhRA8zSlYGpahcmG1RhynXLvbYXGmQJ4LcdWxeVJ/FH6iNJlj4tVbN9vUyyaKLHN7p0/l4uzEhRNET+zanQ6aIiNLEtutEb/16tqkl9Xu++R5TqVgoMgylqGwNFtkvl6YmjNNMcUvGE+6ty3PluiNAvbaLgVTI04yfnztgL/8zTP8sz+9zdaBEIXe2h3QG4W8cnGOu3sDZmsWUZLRrJoc9nx22y5Xzjbww4TXPzigYIrZx7Gr/kKzIOalScZe20FTZIIw4cZWD11TqBYNKJu8cK6JoSp4UczqXJn+KOCN64fkks6ltTozNZvVuRLVssnuoYOha7xyYYa3bh2hqQq1skGe5yiqQp7leEFCmmYctF16TshM1eLu3pCfvXfAYrOIFyQEYcJWa8RMzRKvA7AtlZmKRZbnYr6KxMiNGLrRKTH93/zN8/zRT7eBnF97ZRlD17i4Jnr9tqmiqwoFW+PCapWt1ghdlbmwWqdo69imcEj2g4TaY+YTrh+z0xJzCCG2GT7W7GOKKT4pFhoF0jSnaGvM120KlvbYa/MYeS64AfqYxC5LQjDhh8lk/YjH1+5xWt9JZLlIHMiyHF2Tycdt0FefE2cKx4vZWKrghwkDJ+KbVxd4984RSZKzsVyhUtTZPXQYeTHnlqp4fsx3X98hSjK8UCT/6apK0VKJk5yXLzYpWxoDL+LSao07ewNkSeLieh3HDbm7NyTPM2RZojcK0BSFZtWi3fPJgYV6gdevH5KmGXMNm59c2+evfPMMrZ6HLEvYpsqf/GwHEL3hd253+Npz83QGPqahMnJF4qBtqkRJRhinLM8W8SPRWzqzVKHd96mWDK6ea3JmsczmwYgkzVhoFNA1hWQ8Gz4Wjvz523v8j/7C+YnhzsiL2GuLnnGSZGwdjLiwenquOsWni0pRGKL8+NoBeS7Iejtth43FCpoqU7BUqmWDkZ9gaCKtt1m1qZUMCrZIq9o8GFKwNcI4JUokZFkIPRsVgzt7A2aqFrIiE8YhjFPu9o9izPG1pKsKZ5bKOG6Maaj4YYqpKdgzBRwvQpFlVuaLfLDZxdJVKkWDa3e6FG2NCytVNg+G5EiszZe5crbxEFH7cfio63GKKaYQ8P2I7/xkk2Mu77/8wd1TIo7n1hsEYUqr69Gsmrx4rslOW6TbNqsWRVtjuzUiy3LOjfuUr18/JM/h/EqFgqlyfrXCyIt48WyDMEppdVzOLFZRVXjnVgclzdA1+X5CFKLW7LsRkjwmGucSL55vstt2qZUMSrbOH/1si5EXsdgsnuLwJWnGnd3BJGnv1vYAXZUxNAVVlbm9O5ikVe21Xd67c8RLF+7zaRoVk/bAJ89yZus2335xkVvbfXRV4dxKhf0jkSw4TCL+6Oe9yWNtHYwoFzQqRZ04yZirmfzZG7uTx/2DH9/juTM1FEXUJu2+PxGG9kchnYGPMl6jWl2PUkGfGFY8+J722i5nlyq0ez6GrqCqEvtt8bq6w4CFGZuZmkUYpczUrEki6SdFluXc2ulPyN+3dvp85dLsY423fvb+4eQ93truM1e3TyWDTfHlQ6vrctBxyRFi53fvdvj61Y+fXv1ZIpE+f6L3TwMDJ/zoX/qcIRvvHzki6T1K8o/8m88bOoNgwrUdOhG7beepjHGnIo7PAdI046Dr4vmxiOCURQMyH1vuHpOr0jRDU4WTVhiJiDGRgGGwb6homixiyyRQZKEuPS6SLF2lZOnsZy4jL8b3Iz64FyMpMgVTo1Y2mG8UiJKE/nBAlGaoinBTiOKUdt+nVBCNP1mWKFoaG8uViSpUliFNhWPzWzfa7HddZElCU2WiOCNJBWl46MQsNAoUbZ0kE0kiiizx9SvzKLKM64vIcykTjnlLM0U2D0aEUUKjYp16T4+COR40PQrzjcJUvDHFFxJJmn/o14/DcZN0rmHTqFiT5tvIi1AVifgksTO/r+I87Pm0ui6OG6Frqhi4KjK9oYgV96OYJMmJokQ4AhZ0oebXVZIgIohSLEMVykNJYnm2yFzd4ubOEN+PefduB8cLqRVNTEPjG1cXWJ0ro6kymirz8sVZkjRD1VT22y7los5h12P/yCVOMpZnS6zMl/jOjzfxw5Q0jZCBMM6I4uRULKEsy1xcq+P4EeXCw81icaAUYo6RHz2xI7EsS0/kcnZ5o/EQQe5kFCSI5z6JzsAnijNqZWMysD+JNDv9dckWQ6i72mBSOAD343enmGKKKT4EqiLzH/3br/If/KPvsdt2+Af/5If8n/69b3+kWHCK+0jTjHbfR5KE4HG2ZjN0I8hFfdru+WPxdEycZHQHAWneRVMVDE2kT0VxRpLlpIlw01JlYc+SZoJsZecqZ5cqDN2YWsni8pkmkiRxfqVKo2JydrkKwI2t3ikB38M1hKjZO2NCFByTyF0urNZOkSG9IOH2Tg9Vlbm4Wnvq4cmDtX2UJA/9TqVofOhQd4opvgiI4pR2z6NsaxQtnSjJUCQZL4hREK5XkpSS5ZCkgoywULMZujFxmpMkGYoCiqIgkYvUO0TS5uJskYurVbwgZetgSLVo8uL5Jnd2+/RGIbIsztlxKurOT1onZlk+GUZkWU6a55MI9Qdr1Smm+DJCloQbnanLNCoWjbETas8JOLdUmeyplZJBs2ohyxLX7nRPPYbjRdzdG6BrMmGUUrREbTZ0I/wgxgtjdE2mXDBZmy+TpBklW+fquSa/9soKAFmWsdgoEsQJRVvDC2I294c0qhZhnNJzQshzTENBV1VCJcPUVWxL44WxQ+ZxIkeSZJiagucnvHOrjaLIhFGCoSvIsoShKw/t8b1RMEn2PUn+jJIMLxDpIcJUpshrV+4PB4/6PnGS0aiYPLfe4Ll1cabO85xyUScb/91JfFi/MM1y2j1POIZXrUmqRZJkFCydjSXx2T6tUEJVZDaW7r/+IEzojgJMXX0oecALYvpOiGWoH+qgbH3I+5ni84UwTtk/chi5Ebqm8MLZGWolg689P0+W5/w3f/ABcZKNBZwSvWFAwVR5fqPB5sFQEK4sIfCOkwxVVdASSPIUTRU9elWSCMaP0R+F1Ms6V87OMHBDhn7MVmvI7d0ezbKFIitIkpgxaJrCQrPA5Y0mM1XroYH98lhscWOrhwR0hgFxkrEyV/xEIg5FllhfKHPY9eiPQnqjgHJBFwng4/WsXNAn5wRp7DZfKxksnUgfTtOcME6RZSFYWVsoT4kEU0zxCdAbCoOIB/flYxzvUbahUS0Zp/a2Y+wfObS6HvP1AvPNAkGUICFRtDVUWeaw6+IGEVmW3U/yAMjEvnuMaLym2YbGYkMmilLUcX0UxRkFU5DCWj2Xw77LV6V55hsFVuZKYr64P+T6ZodO38cyNRRZQlUk6lWDsysVVuZK1MoWb944PB5xMnBCdF3hzGKF9sCnPwooFwxW5ssUbZ2CpdEZ+vz43QPiJKLcLOD4MY4fgyzqquO57fFMdOiGjLyYJM1JkpyirWOZKoamMFu38YNkIlwFcIOYg46LLEtj07sif/svPXfqMz7u9T+I477PMWRZ+kjSwIPnvum8YIpfJCRJ+lAH/TzP6QwCojglR6QIVkvmhCtw//dOO87C6Wv3eK3KMzjoutiGSrNisd0a8f23dnlurU69avLKxdnJvO/NG4cULBVDL3FpvUGSJLQHIVma8a2rS2y2RoRxwsiN8KMEXZWJ4gRZkjE0mdl6gWbV4q986wx7bYd37hyx2RpSL5s8d6aBKku8PRavRnE6eZ8g4foR5YKJIomkBceP0FVFpDLnjFPXRHLPYc9j6IVI4++XbJ2irRGnKZau0hsGlGyd0rhvP98oMHRCXr9xiKrIlAo6C40CF9frzNbsiRg2SYXrLYi1LD3RL07SjCwTPJAHP+tHfT3Fx8fxNaFr8qQ38CBm6zZLM0UOe54g0o7vA0NXKBcMZmtF4lhcQ6WCzupsiUrJYOTFuEEsehBBKnoERZGCYRoqQZjihDFRnJCk4j61TBXbUBn5IXGcMkwyMaPQVK6ea7J75BDHGWmaMfJj1uYr2IaKoan0RyF9QpI0I4hiLFNlrlFgrlHg7HIFRZa4tz/kzu7goToiy3KOBj5ZltOsWqiKzMAJ6I9CdE3G0NSHrscppphCIE4hTnNGrujzlx+RbLDQLCBJCJNmTT11dk4S0W9IUzF/fOn8DHN1G0WWqZV1gjDl/TtdymNT0t/79gZuEFMuGPzJz7YoWtq4dlcJo/u8lihOUSQxI5UUIaq8em6Gq2PD1FvbfRYaBUxdFaY3SUq755OkGZWiNq6nIyQkFEXC1FWSNEdT5YeIytEDc0bTULm6cd9Vf65mc3apCjBeSz12287EnHboRnhhTMnWKdgqV8+K1xhFKe8m3Unab5LmeEGK44t1O31gxhrFKWmWEMYpRVM7tU+enJmA6Eee7Atvt0an/9FyiTOLT5+qOHBC3CCmUjDEWWbMMaqOEwEffF2PC0+P4oz+SCTElgsGUTTd+7/s8IMEJIkszZDkh++DZwGOFzz0vYOOw3zj4VSwzzMe/OhP8gGfFcRpTrVkEsYptqHhBg/zRD7veOiM9CG89g/DVMTxOUDfCbl+r0eW57R6Hn/rL1xk/8hl4EQULY3V+TJIsDRT4sfv7nNzuw+IAcpXLs3w7m1BeO4OQyxdZejGzNRsTF1hc9/FNDQaVYuzKxV+dG0fz4/pOSElS2XkJxRMjZEXMVu3CeOUzdaIOMk46CqcX23w1s0j5ho2793pYlkqIyfi7HKFVscTMY2yjB/EqIrErZ0BtqVx/V6PZlWoQecbNh/c6+IFCXGasd9xubBW593bRyiyGJBePdvkT36+TRCKwcuZpQoLzQL7Ry5r8yX2Oy6SJLE4U2Bm6hw/xRSnsDhT4Na2cLotnYgQ/zBEccp7d7qTzeRYwd0Z+gydCElCNPnHEX61soFtChX+TmvEWzeOcPyIStGgWbFwghjLUNB1meEoJEozhm7M8kyBIM6YKxnM1ExadzzSJCWIErSWRG8Ysn0wZOhFwiV0GI4PChmWqVErGZxfqbHTGrG2UGZptkie57x/r4vjRvSdgFs7PVw/YeCGpGnOueUqzZrJ+kKF9+91xMFQkhi6IXGS8ZVL91X4vVHAza2++EJyeH69foqYbBoq5YLOG9cPSbMcpS6zd+Sw+IhI108Ll9bqbO4P8cMUQ1e4tHafmLHXdtgZp3TsHwkHsoVmkZHXIxsTeauPIXrM1W16Q9E8M3SFmamT/hRTTPGEKBd0/uPff42/94++x9bBiH/4X/6If/j7rz2xsO3LjDzP+WCzN0nM0tRxCkfZxPWFo/SVsw3+8CdbuH5ClkMrCugMA1RFJkrEYGLSPMtBIieRcgq2xtb+kCTNKBd1/rs/u8PGkiAXKLJEvWKiKNIpEfNCs8DQjciyHNtUqZeN0691XLPrmoLjx8L1N8vRFJn37na4craJIkskScYf/vjeJE3wsOtNCKEfF5fWa+y1XaIkxbY0zi5PCYlTfPmQpBl//PNtRm5Eq+dPiMJZlpFlMkM/IkpSjvUPOeAFKbd3hui6cJPMJdBSiVzOyNOcoRsjk+MGQmD9zu0jFFkmz4STd6NiYRsae0cespSzOldmrl4Y9x4+Wa2rqTJzDZtWx6NWMrAMFUkSJO7HDaSnmOLLgu3WiD97Y0fcyBJUSzr9kXB7+9qlOfQxMUHXZI56/oTEfH6lwkFHGBeUC0KkdW8cez/fsDkaBKRpznzD4r27Pn6YIklQK5kcdF1hTpCkmPp9d/ofvL0/eQzHi3n3zhFpliPv9JFlidF4ny+YKm/dbJNmIMsDXjjbnLj7nV2u8Ob1NnGa0xsGaJoyccCXpJy+I87pcaqycOIc3ep6bI6fe6/tcmWjgTkmjM5WLa7dPiLLhfHC7In0js2DIa2ON34Mlytnm5No6rt7w4kz3GHP48pG84mEF9c3u5OapjcMJg7URVtnfbHMvT3xOq98Cqlk0Tjd4Hi4tTJXYqEpajU/THjvbncySF1fLE/TM59xxEnGtTsd/DAlTjP8UCRgzzcL1CviPFAp6MiyRJrlpGmGqkh4UcIH9zrc3RsRRCk7hy6yDBISSZKgKjJBnBHHOXGacflMkzBKuLs3JAPiNOP6Zg9VkXh/s8PuoVg7btDHMlQURWIoS8w1Cuiqyr29IUM34twDBOBjyBJ8sNlj5EWCeFy1mKnZTxULfxJJmnHYE/dzHKfclCUYZ45dWK2x0BCEyKO+jyTB5bOn70HLUDjouERxhiILAfsUU0zxdDjouBNX+71x6oWp3x8fP8ketbk/5M/f2iPLc9672+XV5+foOxFJmpKmGTe3eiBJLKkK33tzl7/42ho3tnv4YUq5qHNh3AMv2jobSxVcP+bO3gBdU1iaKWDoCkjw/Jk6d3YHvHe3w057RLlg0O75/M7X11maKVKvmLxx85DtQxcvTOgMg7GRniBqJWnO8myRoq3RH0Vs7g/Zag0pFwwOez47rRGX1uoEUUoYeczUbM6tVvnJtRZv3zykMwjI8pzBKMIwFDRVot0TpFM3iCkVNC5vNBg4Ia2uR5blxElKpajTdwJ2DkXKmuPHbCxXBNk8h3rZZOCGdPqCTHKcEPCLRLmgUy7qk3nQJz0HTjHFJ8HWwYhW12P/yMEPU9YXytiWN+ktgOhryrI0noMZ9EfhqWvXC2Leu9sVKTOHI+plk74TEoQJ17d6mJrKz99v8c0XF1lsFrm80RD9CiQOxs+RpBmeH3N3fFYRog2JVjdk4ETMNyy2WiM8PyZNM3JErfT15+cBQVR993aHJMmQZQddldnveJNUHlkWr1OVBUG9YCpEcU7BVNk57GIbKl6YoMgSG0tl7h0Mcb2YzYMhiizRHQSEcUrJ1jm/WuXanc5kbW5Wjcnf67pCkmb88+/dwQkieoOAS+sN5hsFXr4o1vfNgxGHXfG+D7seV8420HWVC2s1bmz2ALi0VpskNAJUCgZFW8PxYiSJX+is9MuAJBXnheNzv+vHghf0CCzNFgkjkd5nGSpIgqCbZjmOG3LQcQjijFbPww8THC8WfcBccHNAmszLGzMiAbQ1dMcmTxlZLgjSuqoI4VCes9f2COMEU1d5+/YReQ6qKpFlGZIkkvCSNEXTdEFcTnMh5BiF1Msm1rj/ULA0VEXmD364SZQIgvfQDU+55t/ZHdAdij2w3fdZnilye29IydbZPXJolE1eujBz6nqcYoopBIq2CuT0x2kSc/XTxsa7bYc/+fk25PDunQ6/9vLyKWHl997cFemewO2dPq2+T38oRBLLs0Xev9clijNkSaSD98ciZElyiKKUvSOXPIcgTk8ZPlSKOgddn/4oRJZgbeG0mHPrcMTP3m+R5aLfVysZJ1IsZEZuNCEkr8wVafd9XD9GkiSe26hxe3tAGAk+zcUHjE6ubAieI4izy0n+TxKn/OCd/cl7OrdaZbs1Is1yBqOQ167ME8YZeQ7NusVXLs3y9q0OAJc36tza6U/W7WbVwtAVwihFVWTm6javf9Amy3NcI5nsuQC6pjBTsybv6cHae6ZmTYxrNFX+RGnm3WHArTGvdFdyKBd0BuPr46DjMluzOBy/jsWZwof2T01dZqftkGUw8mJq5Sk34MuOpdkirh8xcCJkCa6ea370H33OcG7l4df8rAk4HoUXzj298Ouzwlzd5s/e2CXLcoIo4czC44X/n1c0KhaHPY8gTFEUaTLv+biYijg+B+iPQmbrNlmWoSoyfS/iL712hr4TYJs6kKMqMrqm8Odv34/qCqOUm9sDmjULWYLFpoi6tEzhcN+s2pRtnaW5kiBZexEvX5jh2r0ucZqhyDKGlqOqEovNIm6QkCYZS80ivaGHrKjst0eoikKn51ErGxiqjKkqhGFMnIroUkURrp3u2CUvijMWmjZzDZsLq7WxGlUopWolg1JB46XzM/z2q8sM3Zi5WoGeE7I8WyKOU1RVJopTLqzWmKlavHCuSZKK2M9fBuEjSbLpAXCKZwq1kmhcxEk2IUh9FNwxMfMYvVFIwdKYq9nUiuKAVCxoXFqrj11YRDHeH4X4UYKmCpeXesmiXNT4W3/xAkM35rDr8dbNNq2eR5bmVEsGL5ybYW2hzLU7HcqWwfbhkDBJBdNMEurQ45jAOBFDHXus2K8UDRQZ5hoWF1ar1CsWQZTg+TGKIrM8W2L/yKVe1mn3PY6dawxd4W/8xnleutDg9etHDMbqcNNQsU6QjvsnnK7IhajuQXf52brN8lxpki7UH4UsNosTh/IP+7yzLP/Ybp1FW+f3fvUcQyegbOvoJwZmJ525kjTD9WNqZZMXz88QJymmrj72+WxT44XzTaI4xdDVibvoFFNMMcWTYLZu8w9//zX+w//r9/lgs8f/9h//kH/4+699avGtX1Qcr9XHiJOMly7MEISCfCXLEkMv4ldfXOQPf3yPJIFchiwD3VQJ4whNk4EcWZJ4brXGwIuplgzyPKfVdVFVHXm8F4VRypWNMmeXqlRKOrqmnCJXlWx9smfoqnzKWUW4XouavWjrvHS+SRBnGKqIJw6jlDBKsE2NgRtOyI4A++NB59OgWbX5N35tg6EbUi1Z6NM6fIovIVw/ZjAKsU2Ni2s18lyIKlpdlyTLuX6vS7moIzkxwdjNSpIAGQxVwdAVdFWhUTHpDAP8UJzNk0zc5AMvJD/KKBYMSpYOOewdOlw52+TMUpk0yfnG1QXUsdBM15QPebVPhrV5QeySJOFCP61Bp5hCYLftTFJtyWGmavOtF5aQZYlKUbigOm6Epilcu9OZpNg0qzZ/73/6FQ67Hoam8L039yjECYqsULI1/vqvnxVn8r6H48X4YYKmKaRpzpmFCnEiEjH9MJnc44LIIbDTHqKpEqYskjN6o4D1xTJxFOMGIoFDknJ0TcU0VX7jlWUAPrgnTBWiOBVO/QN/QuTpDEO+cWUBL4gpWPqp9K3+SJAz8jwny2DoRRMRh2VqfP3KAlGUUrQ14cJk3e9JHCOKRe1ybGRx8mdBKMwjPkp0nKQZjheT5eK1Dd1IGDiM16pvv7jE5TONyb/PJ8XIi065k/VGwaSpPxoLbY/RH4VTEcczDi+IScbD9wurVUAQCQqWEG54QcKlMw1WF0rc2O7juCGNsoUk5XSGASVbQ1XG7vCajKmpyIpMtaQTRSmSLNyf3TBmoVkkSjIKpspwvAZcWqtx7W5HXM+KLHpxEmwslTF1jUbFRFXEtX7y/jnZy8qynCQT/T3LEGeLkRefuveepJf+YA8ty3JUVebMYpk8F/denORo6vj1OCHVksHvfH2V7jDANtXxnOTk55uwMl8mGc8TwnjqBjnFFE+LvnN6DRi58SkRx/AJ9qjdtkM2vtezLOfO7oBqyUSWZM4uVxk4Ec2qia6p7HeEEcQ/+DuvsXkwYGW+hKVrwjSqYKBpCtbYXOl4NuEFYh5gaAp+kHBru0+lYCBJEmGYsnM4YmmmiCILEup83RYGdm5IpaTjBSkjL8YyVDqDAC9IkMhQFAlVljFUkZ66cyhEHM2qiSxJXD3bIIyFG7CqyIKYJkmQ5yw2bSxDAyQaVZPFZoG5ukgE6Y9CzixUSDOxD6wtVChYCtE4QUiRZdIk56//+lm8IMHUFd6725t8nt1h8AsXcUiSxMXVGv64R/Vxz4HTWeoUnyaOaxHHj8lzJmlb55Yt5sbrzfF54Th9+MFr93it8oL7j7G+UOaNDw6pFg1cPybLYb/tMl8XRjfHyUMbixXSPEdXZd7puMzUzEnawdJciWrJYO/IIUmF6Kpc0Jmrmiiqwt/4zXNUioK/0Or7zFQtwjDGMDRu7w2wDY2irXNhpcbAFWtDqydEXqauMFsvkCQZjYrN4kwBTZW5tFajWjJ4++YRcZISJxlOnLI6XyaOU86tVMmy06kkUZLzV3/17GS2+M+/dweAPBNnLFmGldkiXpBQtPVTZ7IwTvFD8f1Xn5/nwlgc+6BpnCxLPLdeF+dNVZ44k0/xdHD9+PQ52QlZfczvzlQtqiWDq+eEWcFh1+Ow5zNTVTkoGKwvlml1fZIkJRiLyC1TJYwzZFmmYKoYuoptyPzVb53hvbsd3r7ZoecESChIUs5y0+bqhRnOLlXxgoT37nXZaQ3xw4w4zbF0hYWmPRZlKDSrJkgStaIhxIs9F8tQycg5t1JlZa5EpaBjmxr39ocEcTKZY+wdubx04f776wz8yVnBD5JJ4siF1RqLzQIzdZurZ589kugUU/wy4AUJq3NlakUTSeYhrsuDvcjdtsPKXGly9t87cia/e9jzUWWJmZqFLMnsHbmULI1ITVE1hc2DEfONImmaoSgybpBwcbUqeEqmRm90n2vTHYQszxRolA20E3PKyfMeOpNUCFmWuLXT5+KqMFZx/QTTUFmbLyFJECYZC80CcZyiKKI/8td+ZYOhF53i0xzXp1fPzbA6XyZNM+pjjuFxj/Xu/pCSpZEa4nlbHY+La7Xx/EIhzeDF8zNEcUrBEnypF8+L9adgGVzfvF+zO37ElbPCWEPXFO7sDjizWB4b9CiTPff4uc8sVphviFSUk+ctEF+/cK5JGKcYmoLyCYwzTvZ48lwYxRbGKc5xklErmxMDQPMRKYwnEUQpF1frEy7S0SBktv7sk92neHr0nYjn1+sMvQhDUz/yGvo84mfXth/63tbhgNXZZyvhd+zJPcEf/7zF1y6vf0av5umQZfCVizNivbTuC86eJWiqzOWN+3vB0xofPXt30hcQtbJJu+ejyMJJpl42UFUhwngQlaIxIUwpisTqXIl2z6dY0FG7Ms2qRZrlFC0dU1cwdJNmxUJTZeoVkzdvtlFlxuqflCASivv9jst8w2YUZ9ze7RNFKZkk1PS7hw6aIqFrCr/zjTXeutWm3fNJs5yFZpGFRgHLVKkUhGOLqcm0+wnVMGW/7bE6X8EPk8khtFIwxkNUbdLUKJiCeGyMC5XieDh7crH/RZcBnYHPn/58Gz9MWZkrPrWb8BRTfBbQVOVjNcuE2INJZF/B0sZufDLGuElSMDV0TTnVvLfHTZ44yRh5Eaos06yaVIoWlaKFKkv8Dz+4R7vn4YUpG7JEdxTyyiWThWaBziCgWrZEIzbLybOc/SOHIE6F46ckIakyiiShqsJZ9PZ2n5+83+Lm9oBffWUJ14u5uzckiBJ6w5Cb2z0GTkCagm4IAouqyiRZxuJMmd22z07LwQ1iCkl2ijhWsLRTkWKPIiPbhoqpK/c/K1PjoOOy3RohSRIbSxXq5dONzCBKuL7ZI4yE48C55erHEnPoj9kDCpY2IQNLEpMGs2iWfnQhoCryJ3ZKnGKKKb68WF8o87//n3+Tv/+Pf8D1rR5//x//gP/49197qCE4xX2oY4JBGAvSdZZl/Is/v4vnxyw0bWRJ4mfvH3Bvb0iOTEoG47mNH8YgQZbmyIp4rOX5EmrXp9Vx6Q4DojgBSQxh8ly4KJqGSr1qTlywH4SmymzuD/jp+y2yLOeVS7M8t95AU8Reclyzl4smjbF48fi9HNcEJUtD1xWiMZm8Vnp6UmMUp9zc7uMHCeViyIWV2scWQE4xxbMOy1CxTZWBE6EqMpWiGL52RwFvf9Ci74RISKiajJKkJNm4jk9h6MUUchG9nUqCGD3yxb2pymCosH3gEMYJhq5wYaXK6nyFmbqFLEuUbANVkSlY2icaDDzufR1jWoNOMYVAs2Jy68SMoFExqY3PkwPH57/5w5sMnJDZmsVsw6Y3CJFliQsrVapFk2rRxAsSWl2Pw66HLEt89fnZyZnc0FSiJCOIMqIkY6Zm8aNr+ySpMG15+eJ9p8tayZg4zjYqFkGUTQgV5PDeHeEyV7QU/DAmjDN0VebSepXbu0PyPEeW5ck5M8tyqsX7Y4Nq0WTvyCWKUmwz5vKZ+uRnqiJzd29AnGSUCjrPn/jZ8blXCEdOryUFSyMc1x+yLJ1KFilY6qTJf1yDfRRUReaw6/HevQ6SJHH5TOMhsVmt/Oi0y6eBbWoP9WLu/0w9NXmZiqWffZiG6HfHScpu20FXFbZaDhfXashIHPU97uwOgJwkyek7MR9s9vGCCEWWkSRB8pVkCcvUUGUF2xDJqt2RcLtTZJmyrRGnCW4QE4QpmipRtDVsUwxSRRpOBrkYvrd6Ac1yjmmo3NzpM1uzWZ0r4foxN7Z6xGnGbM0my3KO+j4DJxw77op7yjZVLEPB8SL+6GciSWy2bvGbX1l9JJn3sCeSdyRJYnm2yFHfxwsSjgY+9ZIp6pGChqKc6NeNBViy/Oj+GIh7RJEklPE8wTano64ppnhaFEyN4fGgXBJ76umfn96jio/YoxoVc7ymiceYbxaEAD0Xe3m9ak16CtWxMLJSMnihdL82eZD8cXI2cVKYWS4a1CsmR4MA8hwniLm7N2DrYMRis0Cn73N3f4AXCLLoxnKVIHImjuBJkvGzOwd4QYIqS8iKTJLlDN0IVZH4zk+2SNKMesXAD1PCOOWwe5yYKGFoMkVTE2cpVUFXY456Pv1RRKvrc2mtTsHSBMEcYeBxd2/A27eO2DwYMle1iVNBMBu6MfONAkkqTP7iJOWg403EHxdXa79QUowkSR87abc3DPiTn23jhQlLs0V+7eUlZHl63pviE0IS7t9HfR9dU0SasSo/lsT4qGv3uH4+JkUauoIiy6wtlHn3Tmfs7p3RqJpirRvXDgVLCMd7PY/rWz122w5hlCJLErIMt3Z6SJJElonkCUWRsQyVIMmxFYk7uyPOryjsHbls7g74zk82iZMM01D5ra8tT2p/VZU5t1ylNwqxdJXDcdrY3d0BxYKObagULQ1zbNb3zq0O9/aHVEsGiixRtFTSFIpljbu7Q7qjAAnhflwuGGKme2K2OFu3ubM7QJVlIjJmqzaSLJ2omSRu7/RJ85xmxZpwNOBh8cZHffZTPB2s8XnhWIxTeMTnmmU5t3b69EchpqFwYbWGqauUiyJBauCEOEE8doGXAFGrh2Mxx7EYaeTHDNyIRtnk3sGI+YbF998KcbxIpH/LEjf3hvSciJXZEvWyxWKzSHcQkGYRmiIRJakwG8xBkhP8MMEyVC6tVrm+1ePanS5BlHJhpUKSZmwfDNmVZWxTpTsQMw3TUKmVTGrjWiBJMv709W3evd1BliVeON+kUjColoyJsWHR1ll8SkfjKab4MsDUxX0PYlZbfcCEpF4+/XXB1HjrRntsomyK+22cvFGydYZuRH8QIEsStaLKj947FHWzIvH1K/P85No+7tjYoVo0+GCzS5rmNComlROzwmrJwA0TRk6ELEvMzxT4YLPL0ImwTJVG1WS37aAo0kOpcIam0HNiWl0PCYmVOSHWlsd7VcHU0HWV5vjrk1y/1fkSV882ub07IM9zoiQjzXLxXLIkEo5lCWXcA11s2qc4NLap8u6dDkmaMVe3OWi7fPfNHQBeu7qIaain1m1Fvr8vFiyN/igUtYskzGN+/kGLNMtZmimyNFM81ed8EIoiY38Kc5QH+yP1inWqn2oZ6hMLuOsVi4OOJ7hI44T3Kb7cqJQM3CDB9ROCMH0oZedZwPnlhxMrnjUBB/CQiuMbV+Y/s5fytCgVREpqnIq1uvopzmJ+mTi5Fzwtpp3tzwG+emkWTZEZuiEbS9XHDiYAvvXiEm/dOMQPEy6s1phvCEeG3bbDuZUqsiShKrIgZEgS5KLBMN8ocNjzWJ0rkWYZIzchzTPUIKZgqDSrJtWyMY771RlkIUhCoZmOlfWqonD9bhdn7FbjhQndoc+rl+chh+c36pxZrHDQdamUdGxDNBryLOe59Tr7HRdZklh8RCRv0dY5v1wdO2tpzDd++U5zb1w/xA9F4bLdcri3P2B94RlcpKeY4glgGioX1+oc9UUCxkJDxORdWqtx2PPRVPmR9+r6YgVJkji7XGHohliGdupA5QYJtZKB60eoqoyuypRtnTDOeOFcE0kSQ2rTUNEUmTduHCErsDpXojsIKBV14dgrw1HX46DjM0oj0iTnoOPyxz/Z4ivPzdOomrx5vU0QJSRZiiRJGLqMjBBdXNlocm9/yNWzTdYXSmy3hniBRrNqTRzBAGZrNnkOjhdRLRnUHtGYNA2VC6s1OoMAQ1doVizeutWGXCj27+4NHhJx7B46k4NQfxTSHQY0q5/8QLM6V0Ibu6E3q9YzqWqeYoopnm2cXa7yf/h3v8X/5v/+A25u9/kP/ovv8Q/+ndeYq09dgh8FSZK4uF5j/0jUwde3unhjMd5797qTIYquKpiGjCJLpFmKqoh0PV2TSBLQdIWrGw1evjTP6x8c4AYxnWGApqkoSJDD+dUqF9fqXFyrfShpMcsyfvp+a+IC/fMPDjm7XENX5YdqdkkSDi1pljNXtydNTF1X+QtfXeH9u11UVealCzNP/RntHbn44wSQoRPR7vvT62mKLx10TeFXX17m2p0OkgSXN5oULY3vvrFDo2zSqJg4fkzJ1ri7N2DoRDh+TJaBockYmspCs0iaZdwFVEUQhGUZ8lxCkqFkC1erziDk2y8W+fqVBQ66wvlxrm5/6gKOKaaY4tE4t1IjTjMOux6zdZtzK7XJz/7057sMxk7Y+x2PaOwyJ0sSJ+Oz/DCmaKsEkY6qyEgnGvWmofLi+SZ3doeCECJBmkGaZURxSncYTJzWvv3S0mRo+7uvrfHBZpd3b3VYaBb4gx/dw1AVciCKoWyrqEqOZSjsHrosNsWgQ5bh5YszHPV95utF5hoW794Wzv/VksHWwYhASylaGtEJl/wszykXRZpAydYJ43Ri3vJh594zixUMTSFOMmbr9qmB49nlqnAB/xjrWpJkdIY+tqGBBEd9jyzLfmFEROuB/sJC4z4RpWjrnF+p0h18dr3RKT5dGJrCxbUa1+50sA2NetnE9WMOOi4lW8cPUxaaBe7tDykVNNo9iSBMUGSVJBPx6xVbo2BaLM+VKNs6F9ZrlCyd/SMXN4ipl01mazaHPR9L12l1XYq2SLMJo5SvPTdLpaBzd39IlmXMVCwURUaWZJZmimRZTpSknFmqcHunPxF039kdoIwH++WCjqErE9Hn2eUqmqrw0/dajFxB+j7s+tzY7vH8mcapzyDNcu7tDyc9tDeuH1Ivm0iSRLUojKwaFZOFRgHHjxk4ISVbZ6b20T20StHg7HKF/jhdeL4xJXZNMcXTYnlWkKKCKKVeNh8aPD/J/O78So08F8KtubrNhdXapC9umxrPrdd571PoIYCYd752dZFSQaczCNAUmTBOCaOUvSOX3iigUtAxNRXLVJmr27x4rkm77+OFMT997wDTUImTnDTLWGnaSLJI/e6PQoauENE6Xsyd3QG6prC+UEZTZdIso1IQTuhZDgdHLrWyzp3dEZoqzC/eutnmmy8uTYwydFXmT1/foWhpLM0U2D9yx+nlJbYORjQqJpqqcGm9xo2tHooiMVsvEEYp24cjzp+oFz8P+PkHh3ih6OPsHjpsHow4szidpU7xCZHnlIsGlimIkdWSwfpC+WP1KkrH9fQwYL5po6kKJVvn1cvzFAs6B0cu9bLBxlKVetmcGBOdWSxj6Apv3jikWjI4OHJJkowsz7BNnSBISfKc9fkykgy/9bVVsdYMAzYWK8RJxju3j1BkmVs7fbIMYViHRGcQ8htfXaU78FmaLbI+X+Gd20e8d1eILAZeRBSmLDQKaJpI+1mdK/P+PSGoX5op0ndCXrowg6LIZFlGZ+Bz0PFoVi2iOGW/4/H8mcYk4e8Yv/aySE886LjUS6YwpKuYpwyZykWDNM2wTZU4SZ/ILG6KTw+6pnzkXL47DCYmS0GYsnvocHZZXMPri2V+9M4+z603GHoh7b5HvWQK0cQwxPVFoq+sQG8YkZNTKRmEYcKInLItUqZcLyKIE6oFC1mW+fG1Fv/u33gR21Ip2iq+nzDyI5IkR9dk4jRDQsI0VAqmysCLcbyIetkgiFKiRKTMZOMWwPXNHrWyyeWNJq2uy/pCma89L0iGN3d6HHQ8amUTx4vo9gO+fnlhTHKWGLohpYI+JQ1PMcWHQFVlfuvVNd65dYQiS7x44XRqzbnlGmkCB12H2bqNIt83b+sMAl6+OMfWwZAkyTi/UuWd20dsH45QZJkoSjA0mSwTPYGDI5fl2TK2IQirAzekUjJIkoxyQcPzY8rH+4wksbFYZbc9QtcUbOO+cNwPEi6sVDE0laO+SMK4stFkt+2QjAUh79w+omzrYzNo5bH9NICff9CacP22Dka4fjxZN27v9JElCUWRSdOcTIHffW2dD+51aVRMfv2VZd671xN79UyRMM5Ixr2RnZbDn72+PalHfvjOHn/n37hC34keuW4vjvu4XhBTr5hsHYwms9jdQ4dG2fyl8HuO+yOuH1MtGVRLJnttR/RTa9bHSuB76XwTWRIpsWsL5en8dgpkYGOxzN6Ri6YpzNefvX5cED9Mtvc8D9t+xq7v/PSX3UH46N/7HKNWMlieK+J4Ec2q/UTGXF9UTNmfnwPIsnzKCe/DoKvy5FBz7GI1UxNDX8eP6YwJ2XN1+0Q8eca1Ox3u7A0oF3Q2FkXEpqrIbB+MSLKMPIedgxFdJ2SuVkCVJaF0ilPiJGXk5RRtiXLRoDOKAOHgJUkSsiwhkaNIonjSFAVNEfFpvVHAH/9si6XZEueXK8iKfHLufAq1svmputt9XJwkdsN9V7wppviiIUkz9o9c8jxnebZ4qkgv2vqHOqorssTSbJGz/erkeydd9rJcOLREScq9/SE7hw66fsRhz+PMUoWXLswiS43J8z+/nhKEMY4fYegqG0sV/tJrZ3j9eotbW33CKJk8dhSnDLyIoRshITgskiQhSyLFx9IVshxKBV00Gsf3sGmopwRZ0gOL0Fzd/sjDRqVoUBm7FsRJdqoYenCtGHkR+0cu+x0PU5cp2fqntp7IsnRKNPMojLyI7vgAe3IvmGKKKab4tHBmscL/8e9+i3/wT37Idsvhf/Wff5e//3e+zoXVz9dQ+fMCU1c5s1hh4IR0B2J4UrA0yGE4CtnvuoRxiirLmAWFLMvQVYWcnCAUTjjnV+s8v17j6tkGe4ei0bbfdoniFFmVKNgaFVvnqOcTRgmlj0hHOXaJOfENQMY01FOD9yjJOBoERHFKrWScInI0KhbffmnpE38++UM1+MObZn8U8MFmD0NTuHy2iT4dKE7xBUSlaPDNFxbpDQPeu9vB0BRsS6Wa6Nzc7uMEMS9srDBbtbm50+feOJkuSTIGTsDt3R4XV2vkuXCH1TXhWDlbtwmihDjJURSJmarFxfUGhq6yNv+w28wUU0zxi8dz6w2eWxdE5yhOOei4SJJEmuWM3IgwSTE1Fcr52P1VOtWPz/McWRLiz+OfvXOrjePFNGsWi80Si03hgPXmjUO8QDgZGZpCq+tOnF4vn6nz9SsLk8f9dtXm2y8Kos8f/mQTJGHmRC4ctmxTI89z0iyn3ReJlrWywaX1++kVUSwc7yRJIogS3CDB8UTK0IM7fKP8aBLGh517FVliZe6+u9f+kcO9vSHlosHljcapdW27NWKnNaJetri4/ug6NUO43FXHToGSJMqiT6rh8IKYds9H02Tm64VTKWMn+wsPolYyH2kuMcWzi5KtszxbRJYkeqOAds9juzVibb5EnAgRU6Nicmu7T38YIsmSIAmH4kywOl+mWjL4ysVZKiWDPBeirHMrVcIoxdAVRm7EyIuolQTxMYpTXC9B02TIJTRFZnW2iCKLFG/Hjxk6IWmWsdAognQ6MStJBTnQ9WPyXDjyXz3b5LkHBBpP1Es/8U0/TLi90+euJDHfLAiRmsxkLWtWrY9tgNKoWFNC1xRTfAoYuhFxklG0tcme+CA+an4nyxKX1utcWq/jhwlbrRGaIrO+WJnUCR/WQ/DDhMOeh6bIzDUKDyVjncTIi/CDGF1TqRQMJJgYKmW56P/PVIWg09AUlmaLXFq7n/p1fbPH0I0xdAVQWJ0rgSxIWI4fYVsajh+x23ZoD3waJZOSrVIpGuR5TpblBFHK+ZUqhqaQZjm1UoQiSyRpxmHf46DjsjgWy32w2WXghOLzLZoMnIhW18P1I54705gslbapsTJXOiV8/bC5wsAJ6Y/CiRN6pWg89t/vF4npLHWKTwOyLDNzog5Ymy8/0sk0CBNaPQ9VkZl/xFrxuLXqWNDwKCiKzMpciVrZFGuJhGCnpYgzkSxhKgqNioWuK7x8cZaNpZC3brTpjgK6A5/uMMTSFYaeqLGEGD7lsOsRxynrCxVaXZd212dlrsTLF2dxvJh7+0OiOGWuYWObGusLZQxdnZyddE3M+S6u1Sdniu3WiB9fa3Fnr4+lq3z9yjwFS2PrYIRlqszW7s87j9/3YdfDD5P7yYuIM8/MU5jPHfNRkjQTol9TY7ZmTWeRT4mPmsvnObhBjOvH6KpCvWJO5vxpllGyNXbbLgDPrTVYX6yQZTnbh0NGbsxhz6PVUTG0hCyHPMsYuBGmYTFXL5ADt3b6REmGpgkxYhSn7LUdLFPlxXOzDJyQkRfhBQlhFPP27Q4SorfhBTE3NrsTQnjJ0imO0zW9IKFaNsmFontS719cqz2U4KfIkthnyXnz+iGNqsWF1doTibunmGIK0Wv6sFr74npt0hu7vtk99TNdFamZWZZjmqoQPMgymiITyWKPluVsYjIjjfdGSZbI45QoSomSlDQziJKU7dYIgKKlUisZ1Mb1aRAluH6MG8QYmsJMzeI3v7oyeR1RktEZBIRxSqmgoavKRIwgj9eIStFg4IRst07veWmacW9/QBinzFRtyrbGje0eeZYz3yiQ5zkHXXHWuLBS4yvPz/HCufvC8qtn7wtfro2TiY+RP/D/4vORRILIA5+zJEmnRJVb+6PHPtZJHNf1D+7jnwQPGl2c7Kd+HMiyzEsXnozPOsWXAzkiGVhRxDrx0I0wxS8Nqgwn2gckWfb4X/6cQpJkFEVCVcYJjF/i/sJUxPGM4qDjsnUgNvxWz+PsUpW7e4MJISuM08ng8qfvtbi53SdJc+4Mh1w512CmapGkGSNfxLPf2R3g1GyWZotst0ZiSKxI5HlOGKUkSkqW5azMFSjaOu/c7iAhsTxT5N7eANtQ8YKEzf0R5YLOVmvETNXk9u6AesnkxlaP65tFvn55AdePubRef+x7+6zw8oVZ/uT1HaIoZb5RYG3+2Yt8mmKKJ8GNrR6OJ1zAe6NwkpDxpDA0hcWZAnttF0ni1L2ysVgZR4O36Q5CFFniB2/vcXaxzO6hg+NFLDSKjDyhsm/1PA77Pu2uR5bnNKsm//ifvU277zHyYvpOiKEqKIaEqiqcXarS6nqEUUK1ZDBwIioFHcePkWSJZtnE1BX2Oi6/tSGGy9WiQa0sYiBVRWZl9pPd25oqszxbZOfQQZJgfeE+ScQLYj6416U3CtjcH1AwNeYaNqb+y1GL+mHCB/e6k8FJkmYsf8L3O8UUU0zxKKwtlPnP/he/yj/8L3/E3b0h/+H/7c/5u3/jBf7C11Y/65f2uYTrx1zf6tGsmuwdOeR5zmzN4u7ugCAQBEdZFmQD8hw/SIjTHEkC13eQJAldVfjm1UVeuTTLyI1QFAli0diM4pTr231W5xL+9U9ifu/bG48d/siyzCuXZvn5B4cAvHiuia4/+lj4/Td32BsPgbZaI/7NX9l47O8+LRZnigzdiDBKKdraQ8PDIEr4w59sEZ1IuPqNE43dKab4IiGIEv71T+9f76oCb93s0Bn6SJLEH/xoi3JR3NtpmhFE9xtyOy2HTj9AlnLyPCdJMlbmSvyPf/sCf/DjLXZaIyxD47Wr81O3pCmm+JwgzwWpLxg7xSVpysiPiOKMVM8o2MLBGuk0uaZo62Nna3Hm1hR54jZ372DIc2t1oiRDUSSqZYM7ewOyDJI44/X3W2ia2MvDKOGrzz06YrtaMGj3fMihUTaZbxb4/7P3nzGWpWl+J/Y73lx/b3ifvjKrslx3V3f1dM9Mc4YznKEbjZZccrHalQQBEiHIfBABAhTID8IKBLSARGihBZYrUdIul0sz5KyGHO96etpXl89KnxkZPuJ6c7zTh/fGyYhIU5lluiq77x9odGWYe8+5ce/7vs/z/M1gFFIuGpxeKNHq++JaLDUnTmVZxtX1Tk6i3Gk73N3pC0L40Oflc/cHoovTRUZuRBSnlIv6RxIutHouf/zGZl7/hlGSm+TstkZ8860tyOD2dp8kSx9ICABhlvPSuWneudkE4JULMw+QSZ4WYZRwdb2TO+0FYTJxp/4px2y9wO2tPjc3ezS7HpahMHAC6mWT2XqB/ZbDQddFksXnSCKjUhRus6oqUy8ZeGHCrav7BFGKJEGWgqII8ZeiiMSMm1s9FEXG1lV+dG2fRsXgW29vEycZsgwFU8O2NFw/YrpmM3QjpioJZ5aquUDqxkaX9d0RSZJwZ1t8fmvjNeDiifu6fGaKg7aLG8TUKybnHiLqVxSZldkSt7Z6fLDeptXzCeKE/a5Hd+hz6VSDvbb7kfqTE0wwwSeDoRtyfaObD8qzjI9VL8RJytW7HeJE1CpuEHN2qfrhv7PeyR1vH/c7h/33Gxtdtg5GFG2dJElZmy/jBjELUwVWZovstV08P2ZuqvDAPOBXXl/jn/3udaIooVzUKRZ0bFOjM/CpFA2Cjku75+P6YubgehFekFAuajS7PkVL4/pGl5fOTlMrm2iqRBwnSJoQ1q3Mldg+GOF44qzj+cJso9nzKBVUXD9i4IRkGeiayuuXF/Jrq5VMKkWP/tjdd2nm4cLW0fjv1hsEHHRdpmsWtZLJc2t1yoXHG3t8XLx8foo//pE/nqXarM1P5g8TfHyszJW4udkjTTNm6rYwwDmBZLxWHCaHOV70iZoKfeG5Wb773g5pmqEgoWoKWZoxO2WjqgqKIvHF50S9YegKvVHA1v6ID9bbFEwVJ4iRpYwwSsnICEmIkow/+IHo5QxGIVMVi9s7fX7mxQW8IGa6ZjFyI2xTY7Zu58KVldkSG2MS7Opc+ZgoPE1Tbm708MIYWYJbmz1m6oV8HU/HhNVD7LacnFC733V5/lSDgqWxOlfOX/Ojz/04+KGYQXpBzMbegGrRYLpmkyTpQ1MkJvj4MHWF7sDH9WNUReaCUjs253/zxgFxnOZpWLapkWQZ6zsDPD+mPfBo9l3iOCNORK1+ZklmoWHT6vp8sN4miVN0XaHV81maLnBmqcJ+x8X1I4IooVYySZKUOE1562aLIIjJMvizt7ZYGSfUdIY+YZRSsjQMQ5DAe6OAIEo4t1QlSlLSFOoV85ipwZmlGus7Q9p9jzCK8cIYL0i4vd0nS3mkIcMEE0zw0bE0U8Lxu8RxSrVk0Ox5DB2xpux3PG5v9+kMfCRJolHW81QfRZZ4sTaFF8T4496fjMReW/B8wihha2+U99UsQ2W6ZtHsesiyxNp8me9f2SMIRfKTdsJt/dtvb7PdHAFiHvnaczMc9PxjfJzRidrlcM8buhF7LYckA89PKNkKzV5AlkEQJCSk9IYhkiRM8b7A7CNfn+XZEjc3uyRJxvxUgZ99ZYnvvrcDwGuXZrm903/int/KfInbW/3xddrjlKHjOHlPH7cem2CCTxsScGOrx9AJkSXpqQ1ZPg+YnTr+GZPg2UvhgAdM9J8/NfXwH/wcozv0Wd8Z5jOkVz5mcuuzjImI43OKNE0ZuhGWrjyUKDVyI9JURP2qikyr5x5z1D0s3ABaY3c8VZGYqpqszZf5i6+t8v6tJp2BcNbdbo5I0pSZmk2tpFMq6oyciHdvtgjDGF2XKdsGO22X/+mvPs+vvO7zwd0OuqaxvjsgTlJ6Q+EuMfIjSrZGkoioRKG6zWh2BfF6+DFmMUmaEcUJhqYgSWORSZSgKfJTRao+DNM1m//gG2cJ4xTzEyanTTDB5wVZlh1bH4IwIU5SNPXpRAZLMyXmG4U8jecQqirzy19Z451bLdI0pT+KiJIUJ0goJynNrkfR1glD4fgxdELOLpQJwgRZAseLOeg6Yj2TBHFkZa7IhZUGlaJOuWgQhDGdgc901SbNUmR5jufXavzwWpOSrRNECYosEjD8MCaMU1bmyizNiDXpSQbCaZoRxgmyJFxNj0Z2JUlKvWKK4kkSCns/jNFVBccTjaskEU1P01BZminhBTGlE8OTMEqQJPLXPk5SkjT70HiwJEmJkoevU64fHXO+Ovq3nmCCCSb4pNGoWPyj//XX+L/8tz/ijav7/N/++7e4cqfN//LXX/ypjjp8GBwvggzKBYOvPD+HaapjZ5ghpqEShiKSfH6qSJxm3NsdoKYpYZSiqDJplqEqMgd9D0NT+MrlWRw/xAljfDfkoOdTtjWCKCVJMrrD4LEOXhfXGpxZqkGaouvqA2fsQxwSNAHCMGHghkw95pzs+jFpmj72uU/C0BRePDtFnGQiSQuxr6qKjKrI9EdhTmgX1+Q98WNPMMGzhmbPwz/ijBjGGZWyjhOI+t8LY6xYYb5hI0kZd7b7HAbXxakQ9C7PlrANhVLJ4H/7N16hVDB46dw0QzfCNFQ0RcYP40nNO8EEnyEO600J8IMEL4iQJRh5MS+fnSKKU0ESkiWmKiaKLB+ru3vDgPmpArWSiarCdtOhnpqkWUaWSRQLGmvzFWRJYmt/xKW1BmmW0R+FjLwIKwNVlmn3/bxmLp/Yu6slg8una2QZGIbOX//ZM6QJ1Ms679/pUCmJ4YwiSSSJSOON4lT0GGJBMm/3PKaqJsl4j2/1fRbHJErb1Hj5/DRJmh1LADjE4+rew9q52fOO1b/Nnpv/98FYgJJ/r+vCQ0QcIIjoF8bu3J9E2pcXxPkwFyZ1+QTCDGRhusBey8FxRTJOECVoqsKZ5QrX73UoF3SKlkqjYvH6C3N8/QsrSAi393dvNcckiRTXj9BUGc+PBRnQCamXTVRFpmLrTFWtPCmn0/eJ04xSQcPQFGRZ4isvzDF0wjzZ9uxKlamKhR/G2KbG5TNTwjW661GwNNKx+Pxh7+NK0eDXfv7Mh/bS5xoFFElic3/IYBRiZgq6qgASaQqKLPqTUZzmacFP2iObYIIJPj5GruhXJGk6TgULmK5ahLFYpx6XiPEw+EGcCzjE44cf/jvj88OT/M5h/30wEj8TxjG1osnZ5QoXVsR+rigycZKSpuIMcrTPkaYZjarN3/2PXyFFQlVk3rvZIskypsbpHafmArww4qANSSbW8aKlEgTiGqMkQU1kNvaG1MomqqJw+ew0p5cq3N7sIUkSaZrR7nvI47S1M0tVTi9VCIOYZsdFlsV1BVFy7P5kWeLCaj13uJckiTA6nOHI+SxhNO4zeUE0ft0TKMHICz91EcdUdTJLneCTR6Vo8OqFmbwH+jAEUZILOODx5+zDmktXlWO11CEO642jvdDTixXmGwX8MMkTCZHgr3ztNNWiDrKc1wu9UcB0zaI79DB1mSBMMDWFKEk5vVimPwxBygijmCRN2W2OMHSVoReiKsJF/OVz07mj98n7nmsUmB47cZ9chzcPhpQKOrapABmdfkCaZPl9jtwIxqVPGKfstp28ZiMjT4l+ktf8JDw/FmlEYxK/G4im1PAJ1voJngz9UXCMH+QGMUszJZHwkmY4fiT2ACCOU+I4Y6ZWADIOut5YLJGhyDL1iokfxhiaQr2socoQZ3D5TIM0g5efmyaIEjw/BEnCCWO+/sIchqmPryXED2NqJRNFkSmXdIqmRq1okCQpux137IrvU7J0ZhZtyraOHyUYusrphQqqIvHS+RnSNMvfa0fP+roq8ytfXcMPY9692eSDu938tWj2XC7w0UQcj+spTDDBTwMex6MrWBovnmngRwkFU+ONq/v59/pDH02V8zSJ/Y7D+ZUaXpigK5CQ8dqlWfwowTY0vvX2NoszBdIkQ1VldtojFqaEqM8LYi6dqlMpGZiaED8uz5YIwlik/oTJsdlkq++N1wex1xdsnS/MlWGcfJFlGe2BL/Y0WSbLMjp9n5mxScXSTFEk7soy7UHATM0mSzOiRHAq6xUTVZZyAcqjUC7ovHL+/v54erHCFy8JE5wwjLl+7/46dcjbfFTtVCuZvHrBeOxee3iuP8TQDT9zEUccpzh+RMHUPrbZzQQP4vD1tUztE+lF/7jRHQaUbR1Tl1FkOT+XPEu4udFClSXiMc9akSVaXZepTygJ58cFSZZh3H9RZYkffLDLpdPPlpBjMAqZqVlkmeiHtPveMykOz/fdj9BHO8Tk1Po5RByn/MEPNmj3PVRV5htfWH5gk9ZUmbu7QuFpGgpnlyqMvCgfEh5t0s3UbbrjCENNU5gduy+szFUI45SRJwpuQxcOMHGaoXoJd3cGJFnKwI2QPej2Q0oFnf/nb13h9EIFx48oFzKKtobnxygKrO8MMA2FzsBnbaFE3xFClKEbUbBUvvv+Li+d/WiqKceLuH6vS5yIWOdzyzVub/UYjJ2IL6zUnoow9jDIsoypP3ub5AQTPCkkSaJcEENeAMtUn7g5dxKPE06dXazS6nroWoofxpRtHV2VmWvYdPoe795skQG2qYpmX5rR9yIsQ0ORFVq9kYh1zYRKf+iFuGEEknAdzYA7O30AlmaK3NoZ0h0G3NkZYOkKBUvjvdtN3r/dpjPwsQ2NF89NcXqxQqPyeCXwoWtmu+/R7HksT5eYadicXarSHwW5M021ZLAyV+LaeocwSjENhVPzFWRZwjJVRl5EydaRJCjaxx1sNveH7LYckISLjqpI3Nnuk2UwXbMeqdgfOCE3NrqkqXBlPL9SOzaEKpgasizlor5Pe2AzwQQTTGCbGv/H//mX+Zd/eIN//vvX+IMfbHB9o8v//m+9wrnliUvSIYq2hiSJocv2wYhGxaRkC+dqU1eJk4xywWTkhjR7Pp4fEUVC0CiNCZG3t3vc/g1xFnaCGF2RKdoalqFRLur0RiFRLAgK9fKHr/+iMSTjBXHueGmbKhfX6vkeP1212D4QzjeWoVAuPtol++p6W6R7ZHB2ucpXXph/4tdHkiQ0VTRhb28Jlx9Zlji7VKVW1DF0JXf1/qyblxNM8Gng8L1/0HHp9H0Ktoalq2MHWYft/ZEQAAN9J8QLYgZOyAm+D3EKWwdDirbBuYKBH8aUCgaKolAtKfRHAe9vtvOz7Lnl6sTxeoIJfsw4rDeDMEHXZO7u9FjfHYIE9XHaZJJmaIpEu5/x1vUmkgRfeX6eLzwnXOKqJQPHC+mNQpBE3bc/Tre0TZVG2crr/NmGzdANkZEo28KIxQsdFFnCMBV+449vkmXC0e5rLy/m11kuGDR7QsypKinffXcHL0iwDIXl2RLKeO0oWFp+btBUmaEbiloXsHSVndZI3I8mP+DKJUkSqvLgGvS4urc79HMHO00VUduHvdD5I26zc40C791u5UPQufrjG/+f5MDMNrWcmALkCUoT/HSjUjCIk5SdtkMUpxx0XfqjgGbPY7/rsr47wPVEOl+5qHPx9BTTVYvr97rc3Rmw23IYOCFJIs7saQpeGKMoEjvNEfFeiixLhHFCpWjSHvjEcUySiFrC1FVhNqKrXLndIc1ET//y2Sk+uNvB8SJUVea51ZowSAkFeVhXxEB2pvbwXtqT9tJLRZ3pijV2gZaQJUiShLs7fYq2xpnFai7obve9J+qRTTDBBJ8MSgVBttzaH4qecioMGvyxQ+7FtTrmQxxjHwXTUNFUOSdaH3XbfhQsXTn2O+XCo3+nZIv+d7Vk0ncCHDcijjI6A58oTvNrVRUZTujAwijhX/7hDbabIzRV5le/usapBZH8PfIiVEVida7MTmvExu6IgRsAErN1C9sSgriBG0IGg1HAdMVgpyWIagVLo1YyMXWV/ihgqzkSs48wIYoSsiyjNwwY+TF3doaUbI2Zms3idOHBmzy8fsQc4cqdNq2ex0zd5oXTDRami/ncoWBpDN0I21TFufBjzkifFJNZ6gSfBmRZQubRPQpDVzE0JRc/PeqcHcVpnhahazLPrdWPEbkPHa+TJKNcEPWGLEu0eh53dvr0RwH9USCSkTWFOzs9VucqOaH11laPg7bLvf0BxfFnME4EQX15usROa0Scpvi+EJHc2e5jGSr94YBa2eCeLDM7VcDUe/lzP+y+H0X+ObNYIYoTvCAWyYYFk7u7fRanipiGmr8uvaE/5pv4hHHCqxdmMDTl2Lzyw17zk7AtLU+BkyQpT+943Lo9wZMhTVP+8IcbHHQ8FEXi6y8tsjRbojSeK4zciP2Oy7QXY+gytiGItULQLQEStZKBpsiksng/HnRcdpojkfaZBMIwSpH47e+sU7Q0CmNjxAw46Hi4Qczv/3CLSkGnYGl4YUKaCELa2aUqnb6PG8QEw4RG2aBRNinZGiMvzOvgWtnA8YW4R5Ik6uOZ/OF7rTv0ubXZI8tEKsdh8tbACekMAw46DralUS0azDU+2hzg5Cx/0v+c4KcNWZZxY6NLfxQiyxLnV2rHOCMn98FSQc8F0vWKSc8J8ccivdOLFd66dkAYZwQSnF2xuLc3Ik5Egs901eKD9Q5ZBgVLpWCKfQ9gebbIn70l0jUUReKF0w0294cEYYKiSExXLd650SROUgqWliduZRnM1CwqBT3vOaZpxo3NLgcdl62DETN1i3bPp1Y2iZKU+akCrZ6HwtjcumKx33HJgEbVpNP3aY5TPV658OF8xZP7o6WLwkKVpWM9P9tSuXK3jefHj6ydPmyvPTzXHxrVfNb8Hj+M+b3v3mPohliGwi98aYXqR0hQnuDh8MOY3/vePYZOiKEr/MXXnr3Xt14WfMOhK0xilmaevWTGcytTuYADIE6zZ07AAWJNCsb/HacZP/Pik3MzPi+Ym7LZbo6QJJEscjRR8FlBnIj60x3vBc+t1R+avPRhmIg4PodY3+3THjvMxnHKe7eazL62euxn4iRlumoRRClFSyVJ4eJanXbfx9AVZo4sLl+6NEfR1hi5EacXK3kTT5bhy8/Pcmd7wLmVCrWigSzJzDUKHHRdGmVLuMfbOkmSkZHh+AkDJ2R9d8BL56YZeSGvnJ9GkiTu7Q3QFYVm36NS1KkUTS6tSjh+jKb5VGydkq3TPuLo+zTYaY3yw9DIjbi3N8iJ6EmSsdUc8dzYOW+CCSZ4NM4tV9nvupCJBJpPo3Hx6984S7mgsdd2hModQbp84fQU/+IPb4hUigyiJOXUQpmZmsXm/ojpuiWGtlIGCHGZqWucXa4SxylRnHJ6oSKEZ5poonYGAbap0ahatHoeBdNkYarIt9/dxdZVXD/G9WO6A58NRf5QEcd+xyUIE1o9nyhK6Y4CVFVmVA/Zbo5ygURvGBDFCWEk1iU/SBi6IRfX6nQGPv5CjGmo1MrmsRjiKE5zUguZGMRoipwXZs2u98jo4u2D+8/fH4X0RyHV0v3mqGmoXDol9gLLUJ/J6LoJJpjg2YMiS/ztX7rApbU6//k/+xEbe0P+D//4z/gf/fxZ/qNffi53U/1phm1qXDzV4K3rB8zU7LwJ98tfXmVr3MAM45Qb97qMvJgsy/Bk4eJcNDVsUyNLM/wwoT/el8q2jm1qvHRuGlnK2OuISOL5eoH48UYyx7DbcnLHS9ePafa8vED++kuLXF1vE0QJz63WH0twfOfmfaLkrc0el043npo8MPIiOgNRK6RpxubBkMtnpvjl19e4ca+DoatcnJz3J/gJxOF7X1VlXj4/Q6vvcmG1zsXVOtWShabATtNFkiUURWYwCpAliYqt0XeisXMjQvglyRQMhemazXbTYbp2v+F18iw7cMInIlVNMMEEnxwO600Qn/1m18/PBX6YcG65ytCL0FWZK3da2IaKJIle4SGSJOPCao3tloOhKhi6TBSDG0TMnRA7vnZplnJBx/UjVFkiSkSNa2oq97YHLM2KIcv67oCLp+p5vXz57FQukNA1maEboyoSXpAQjutyEMYxh4iTDMtQaVTM3DX6/EpNJHlVzCd2IHpc3bu1f/97UZzy+gvzNHsetZLB2SMC4tm6zS98cZmtgxGNisXpxR8fCVxTZS6dqtPqe+iqwvQjyO8T/HRhpm6jKhLLMyUcL6Td97FNjaErxJm2qRFECUVTY+hEfHCnxanFak5o1jUF21CxDRXLUAnHJAUkuHq3Q61kYpkajh/z2gsiRSfLMk7PV1jfG7EyV+Tnv7jKvZ0+0zVrnMCjsdt2RGogYg6x03J4bq3OQcdluiZE5tWixYW1jyfQN3WVr760QH1MnkgzQTTujQKyLGN5tpT3Jzf3h0/UI5tgggk+GRQtjbItyJKGruD4EX4UUy4Yoo/ddp5KTKUqMpdON2h2XVRFPjarfBSUp/gd0xDmE7N1m9ptnfbAZ7Zmo6vqh17r9XsdtpvCqCKKU77z7i7lgsFM3cYYE7b7TkiGcPu1dQ1FlbF0lb/+s6eRJJk72z1ubvaYrlrM1G16w5Ba2eDUQgVFlrh4qs4PruzRqJiUCzq3NnvYpoYXxnSGAaausDRTIggjnlut85deP/XI643ihO3mKE8kbXU9tg5GzDYKFCyNi2t1usOAM4tVVFWmWjI+ttHdBBN8nnH4GTv4kLWi2XPxxuTTMErZa7uszZfz7283R7kQfOCE9EYB9bLJxv4QMmhULZJxUsBs3SZNRfrFbN3G9SM6fdG/WZopsbk34OxyDceN0FSJgq1TsBU6g4AwTFFUiXLBIIwTMRdFykX5R5/7aWAZOj/36hLv32oRpykvnJliqmoiyRJnl6v5471/p00QJhQtDdeHIIx5+fzMxzpXGZqS81GWZososjyZRX5C2NwfcdAR632SZLx7u8XSbCmfK3z7nW3mGjblgkGSZczULTRV4eKpOrc2e4AwVho4IVEsUmvu7PRZmCkxN11gfWuAacBM1WK37aJpCgsFnZIlBIdhnKEpMpIsEScZ2wcOa/NlCpbgGGmqjJrJvHx+ms39IfWyyddeXKDnhCzNltAUmSRNqRQNKkVDmNU+5HO6tT/Kz/qdvs+oHlK0dfGYJZPLZ6foDHy+dGn2WI3/NNg6mPQ/J/jpxmEvDcScbftgRPnU/bna1ol98NRihUrByJM4z6/UuHavg6EpTFdtNFVhe39Euagz1yiSxClemFAwVdKyQYYwmTg1X0LXNBoVMRN2vIhW3xfJdEnGOzdbLM+WcLwIU1fYbjlYY5Gl40X4Qcxs3SZOMmolg6EX0Rh/v+8EItlTV1mcLtLp++PztkEQJlw+M0WjZNIZ+rxwpsF208E0VNIso1o0yJKUDAlVhof4yTwxTvb84iSlPTbB+Si1EwhR9nNrdXrDgIKlPfW54JPG9XvdPGHLCxI+uNvhqy8ufKbX9JOE6/e6DMc81yBMeP9Om6+9tPghv/X5QpJKPLdaY7fjYKjqI41fPs/Yb7kPfM11XWz72RJylAoKXpSQpWCbMvsdn3Mrn/VVPR0urjUwNJV232N5tpSnET5LaPU83LGI+ZAP+lHmURMRx48Bza5Hd+hjm+JA4Yei8SYBizPFB2L8FEWmO/Dpjht68w9RmUuSiMAMo4RIk5Fl4XZwtPAOoyQvUlZmyxiaxL/95h12mg7nliv8/BeWMTSV+akCIy9iu+mQZhlBFDPyItIsw9RVoQwdF2yHA1dZkUhSEUPohQkLUwX80GZ9ZyDIZcOQMM4gQxSPWz10TaFk66jaw8lftza7rO8OqRRFPNnJWK4shRubXVwvZqZujaPcQ9FUzVJKjomhKSzNFPNI4QkmmOBBKIqcxxh+VDhexG7LQZYlpqoW33xzk/4o5MVzUyxOF2n2PMpFA1WRePNGkyhMWJ4tceVOm/XdAUVLp1ExGTgBc1MFkjhlp+UycERcYJykVAomlilTLRvoqjL+n8zADTnoulQKBgVLI4gcml1XuAYqMrWyOVa0C6fioSsKOlkRa2UYJdza7LHfcZmt25xdriJJoqlzNOr9UNtyyDM5XAtPvpZZltHqeUSxiDR3fHEdawuV3EXwKKQxwS6PRcyg1fcYOCLqvGTryEeENUdf68P4yEM8LAb65F4wwQQTTPDjwkvnp/kv/u43+K/+7Xv82dvb/Maf3OJbb2/zn/zqJb7+8uJD16yfJhQtjdm6zc3NHtfWO2w1h6iyRMnWGHoxWQqmIdKkXD9EykCRJDIJun2fTT8iSzMUBWxTJ02FC1aaZsw0ClSK95skiixEIW9d22foRpxZqjyycXjy7+J4ETc2uvm5+vITpugpskR8+A8JPoqhtXxCWHpYe5RtnS9enHv6B5xggs850jRjuzmiO/DZ77pEUcx+x8MyVHpDn3duNtnYGzBVK1AsGKzvDNhtjvCjlDTLSJL7R0pJgjSFVMqQZNhtOrxzs8XidDFvep38vMuyhB/GvHntAD+MubBaZ/ExMbVJmrF1INyypmsWtWfMIWiCCT4POCpkkCSJOEnpjSIkwDJl9toufSegXFDJMok0S0ESZOzf+c5d2n2fUwtlvDDB9WNCJUXXTZZmjgu2fnTtgKKt8eKZBoWxI2YQxQRRQhDcXzy6Q0GgLloa93b6vHW9SbWko8gwU7NJswzHE86y+XUj0sVAkL6v3GnT7HpMVU36o4Ard9rIEizPlVmdK+fi0Cc9C8onzhADN+Cg62LoCtmJn1VVmUrRwNBV0jQ79hzzU0XmP2bv46PCNNQnciGLk5TN/SFxkjLXKFCaEC9/YrHbGtHse0Rxhqkr9EYBb3ywh6arGKqMaShjZ0fhTnvlbhs3iGlUhLvkra0uaZZxZrGKbWl4Ax9NVaiVdPZLJgVL9IEURWV1toTrxbk4wzA0GhWT/bZDnIp5QhinRLGCqsgMHOE2vd/1qBVFnXF+pfbQ6HrXj9hpih7V4kwR4ykE+7apsTRTomjp3NsbcP1eBzeIsE2NnZZwrNc15aHnlZMYuiF7bQdVEQTKh/XfJphggidH0dKZqoq+c28sGAchOPXDGFkW7ppPKsgU/YQH98FWzxOp2eNZ6VFzqU7f48ZGF11TKBcMkSzxCBQsjYKloWsK93YH+bUG42utFAyaPRdNFX0NWZLYbo7YOhjS7nskaTYWxyl8771dNvaHzDVs5hoFkjRD1VSRGESGmok08722S3vgUzQ1VufKFC0NRZZpVEwWp4t5csZhUpjrx4zciO5QGFDVS0aeQBbHCYqioGky33t/l5EbcW65SqNqsdsajde2Inttl93WCMeLKJgakizqPgnoDnyaPQ9TV1iZL6PIEq4f8udvbxPGCc+fnpokmU7wE4UnPYPc2Ojy3q0Wm/sDLFOlbJvM1I73LtJMiLq8MGG+bnN+RRDFszRjr+0wdALqFRNVUVAUCUkSPUvHEyaX67t9FFli5Md0+x5JkrK2WEGVRcqwJFmU7ZCDnksYxnhhkq9P1ZJBmmZ0+gG1YkiaZtzd6ef1gK4pbI0FrQvThYfO+mRZYmGqSNnW2Wk5SBK8eb3JXtvhjat7/NJry9Qqdr4ugTiHzU8VKVoff3Z4cgZ5fb3L2zdEHfnqhRlkWSZNU9652aLd91mcKXBxrQFAkqRsHYwIooTZuj0h1h/BSV7M0T23aGmUCzrX17vE6YDV+TILF2a4vtHl3ZtNAM6t1NAUmcXpImGUcND1KNvCbNEPYlRNJggTdtsOQzemZEfsth1aPZ/l2QKylLHfdZEViaWpIkmW0XN8vCAikyTeuXkASCxOF7ANjZKtj/kGot53vIha2cxFG4+qhzPE8yRJSrVo5Gd9WZJIyGhULBpVi1ML1Q99zeI45a0bB/RHIWvzpVz0cfK88qTnlwkm+EnBgzX1ie+fmMPd2+3y3//+LZI049d//jSWqfG7372HpSv86tfWGI75NpkEi2lKECWEUYKmyOhjrqIiy8RJhqZmhOPELEOTGLqhMK9SZJZnSlhjYwoQguWj0DWVmdr9/T0MBadHHs9RR17EYGxyN1Wzjp0FZFniy5fvO9DvtlyssYhDliSiOCMIY2L5vrHqR0Wr53HtXhfbVFmaOd43+ahz8NLYEPtxCKIkN7551Bnhk8DR8wNM1tBPGidf35P/fhYgyxKdoc/W/gjLUDm7VP7wX/qcQfkJoRRL0v01LRkbbD1ryDJhIlYpGignN6xnBE/Sy34SPHt/vWcM/VHA3R3hltcbBkjAQdfLXbQcP+LFE8Qo2xQHEDeIiJME+SFDCFmWcT0xfJUlKW/+HcXNzV4+rBk4IRv7A374wT4gBrq2qRJEKUMn4EfXD7B1lRTY2BtyerGCG8Rjt/wMJAlNlZmumMxNFVmZK3LQdamVhXvWcKzq32u7dEcee22PubqNrilEccqlUw26wwBDV/jKCw/G92w3R3zv/T0A9tqi4XCSqNXsexx0XOJEHAwvn2ngBDEjL6Td81mdl2l2Pfwg4eKpiUPvBBN8WkiSlGv3OrlC//e+e5eBK9aae3sDvnBhhjgV8eDffW8nL4qu3GkzN1XE1GUcL8IyFH7+C8tISPzpm1sAtHseXhATJwntxGNKMlmaLiHLYp2TZInO2K1wryPUi0vTRW5v94mSbDzwlTE0hedO1Xn7ehNDV7BNlUpB5/Rihev3urx/p0WSiIZsnGZCHDJWPEuSRNFSmWsU6I8CGhWLxZkitqmxMlviVtQjjFJm6zbzUwX+/O3tsZOpwpW7bVZmS5i6ShglXHiIW7iqyJxeqHBvbyDimFUZx5cJo4T9jnAEOoxZPPlaa6pwtQkiQZz7rOMUJ5hggglOolI0+Lv/ky/ytZcX+a/+7bscdD3+83/2I37zz27zH/7ieV67NPdTLeaQJDF0fPP6Pn54P/Ze1xQKpkrBEvHomqLgpAlIGa4bEh8R/ikpWIaIPK6XTNp9nyhOWVso5/tT0db5zrs7eWzxXsehZGtMVR8c4C9OF3D9CNePsU11nAgo/kZRkuaR5h+G11+Y57vv7xInKS+dm8Y2n36PKlgaC9MF9toumiofc8mbYIKfRGweDNlvu0Rxytb+kKET0h36lGydneaIUlGHFEZ+hCQJB383FOTrKEoIj8w5klSIjyUy+k5E0YqI4oQ/eWOLX/vGWXRVZnWuzM3NLmGUMlOzKNk6f/iDDfbaIiVuv+PyV792+pHurRt7A5pd4QrYGwW8cLoxEQ9PMMFTYrZuM3BDhk5IrWig6zKjjogeD2OJdj8kTlL6jky1oNEZhKiKTJJlvHurBYi6W1NkJElClqFWMrBMlSBMMDSZd242RfO+LT63a/NCyDlwAvpOgOuL9WFxpogfxHkt/d6dDoossdcW5ChZkkgz4T6bAQcdl0bFQtdkOuOU3Q/utIQZA7B9MOTmVk8kfEkgyRLPn27g+jHVosHUh6RiHmJlrsytzR5BlFAu6Oy13Vx0UrQ1DF30GisFnZ2mWL96QxEcvjz7bMW339nu59feH4W8eHZqkmL3E4hWz+PtG010VWHoDNlpe0RRShin4EVUSyaGoUImIckZUZLi+jH9Ucjm/oj13QGOFyNJcHurR6mgUy+b9IY+JVvjG19Y4s0bTWQkvvT8LLIsztG3tnq4fkQQJXhBghe49Ec+jh/nRiSWoeL4MXd2BvQGPklS4AdX9ihY2gPCziTNuHaveyTFL+KFM1NP/Dp0hz7rO4JsfWOjS6fn4wYRlqFxal6k7r5wZopTCxVub/WIk4ylhxhgRXHC9Xvd3F33Uf23CSaY4MmxNFvEC2OCMOHMkvg8HnRcukOfhUaB/bZLmmZP7Sp7FP1RkPcoekMhFDkUi7l+yJ++uZX3wF0/4pe+vPahjzldtRg4gbjWgc/CdIGt/RHvDVs5iTSKE3RNYb/tMnLF+ucHCXGSMnQjNg6GtPrCiE9TFb7+8gK3t3ogSWRpRiKLn7u23mW/46JpMqfmywRRwlyjwMLUcQLV3vi1Gjohex2XmZpNGCeUizpffn6ON64dMPQiFhoF3r7ZpGhqTNdsdtsOy7NFbEMbP46DIssULZ3uICBOUlbnqpxerOCHMTe3evn5KM1gbb7MN9/cGfd0xBz6137uzANr6AQTPIt40jPI1v6QH1zZozPwuL3dp2BpzNUT+uN65RDNjkuz6xGngmj6eiKaK2kmeBuWoSGBEIHJEoamsjRb5MZmDz9I6Az8sct5QKNikmWw1xpx8VSDr720wFvXmzh+hKbIqLZOuz/E0BWSJEVTJHRdxTIU3CBmpznCHzd3+qMQRZZyDsnQDUUC84leermgM9uwhQFnmrK+M+C9Wy1UWWK/I9a6X/7KKnMNm87ApzvwmZ8qcP4jpho8Dpv7Q3549T6/Q5FlXrkww3u321y5086/bhkqa/MV7u4O8lqyPwq4fHZqsk6NsThd5NxylTs7fSxD5bVLx3kyuy2HVt8bE/UG3Jrp8s6N5lioneH4MY4b8dL5aXRNYXWuzPV7HQajUIiJ/BjXF9wiy1Txgogrdxxm6za7LZf13T6qIuMFCQc9l1PzZTrDgF4c5MYSWZpxb3fIS+caSJJwE5+uW2wfiJSr3jBAV5U8SfNhyDJwx0YRlqHm5NXTixXubPdJxyl9TyLSfvPGATfudQHxPitYQqy0Mlfi1lbv2Kxkggl+mnC4TzS7HoamsDJ3fM62MlsSJi9hwlTV4v/8T7/PaMwr/C//zTtUiybZeEb4X//me9iWQRgl9EYBRUulYOr4YYIEjLyUZtclSQWv5fRSBdcXj2UaBn6Y4Hgi3bdoqdTKRp44sTrXYH13gBfE1EoGy7NLfOfdHcI45bm1OrsdN9/7OwMPN4hw/BhNlTmzUEFWJAZOSKmgP5BMnGYZrh+TZhmGLrg1jh+hyFJ+bx8FAzfkm29t5aRpL4hZmSvl9/RxjXQfhxsbXbyx0/vADXn5IWeETwIXVmrsthz2Ow71ssVL55/M6G+CJ8OFlRr7HYfdlnh9X34GX1/Xi7hyu4UbCL7ye3favHxh9rO+rKeCKoUPfO1ZS+EAGDpxvh4FUfaAaO9ZwG7LOTbjORR0PEuYqlgMRiJlUZiWFD78lx6CSVX0KeMwrvMQQy/Ki28AP0jGrgxjolScsn0wZH6qyEzdQpEVwvC4AhWEsnxl7v5g0n/Iz3hBTBCKg4miyGzsCme3KE4wNIWNgxHnl6p4YYSMjDtW0huqylzDpmQn+EHE2nyFOEmZbxQ5s1zmZ15eomRp/PCDfZo9l4ETIkuiKVgracRJil9MqRZ1pms21ZLBz726RByneWLISRwOLO//+8EF0/OjY5GLzZ7HbM2mWjSQkPLBzcnXfIIJJvhkEcVpPlBJ0pT9joehC6e8JMlo93zCJCGKoryAy8gI4xQ/CFFknQurdV66ME2tZGCbGrWyQZImhHFCkmXUTANTV6kVTUZ+yMXTdYajgPW9EZ2ei6GrnJov89xqne3m6BjJ88xShUbF4p0bzTzaL0pSamOHm6EbHrn+jKEbYI2HI1mW4QYRpxenuHT6fhM4STOaPZeRG3F2qZI7oDu+cBbRVIXOwKM3CgjCBFNXH7sW2abKhZUaRVvn2noHy1DzIdjRA8nR1/rwOl658OQD8gkmmGCCzwqvX57nlQvT/A9/dpvf+OOb3Nrs8Z/90x+wOF3kr/3sab7+8uJPpdNwkmbM1wvomoobxMRJRhQnKBIEkRD2VUs6tVKVg65LbxQQxwmul4CMmCYi8dxaDTKYmyqQZhl9J+DiWv1YGl1vdOR8nUF74GPowt32qEONpipcOiXc0PqjgOvjwQfcP1dnWcZonHj1KBeHpdkSf+NjEiddP6JaNJ7IufrHBSEuTSla2jGX0Akm+CRw+BkL4wTbUPGDmErRIIxS4jQl7vtoikxGRqloYOmqcMqSJAYjyOQYKYFw3GIoWzKqqqNrYOiKIGfHKf2hz3TNxjLUB0wkBkfWiiQRZ+VHDTcP42AByETc80TEMcEETwdFkXluTDZ2/ZDydYPzKyoSwoylXNCRJFFbl2yDF8/OoKgyb1/fZ+gGOG6EaSmULJOVWTEYTJOMy2MS0/qucHF1/QhNVXC8NBdxDN2QuXoBc07s5V4Y89UXF/Pf6wx9Aj/BNhVkRckfE+D8ahXHiykXNK7e7dIfrx29UUiaZCKtN02J4pR6WTjdHpq6HCLLMkZu+NDe4GF9rY3PGpfPiufuDnw6fY/eKMTUZQqWxkvnxDp20HXZb7u0Bh4FU6dS1HH9iDTNxsLYJ9+3m10Rof40cd1Pcj76MHhH1tV0TCKbiDh+8jByQ/qjEF1TObtUp9XfI4oSNE0mTTMUCVZmy9TO6IRxyn7Hyc/1miaMSVRFOBqrikyjZFIpidTaqZpFo2Ly868uMVOzkMfTuoKlcWGlxnZzRBAmxHFKbxSw1xwy0yhQnbbRVZX+KGS+UeCgI0jHQRDTzXy29ocsTBWOfY7iJM0JFPD0PfjDn/fDmM7AR5KFmZWmyoIwIglnyZKt8/L5GfGcccpua4Rtanm/LIjSfA7wUa5jggmeBUSxEF8dfv4/bZi6emzfBzGEPtpjOFYLfASc/KwefbyhGx/rgQ+dB+eDD4MsS5xbruF6QqDa7PuossRuSxAApquWIKyGiRC1hTHTVZuirZImKc2eR5ymgsyVQdFWsUyN509Pc2ZsaBHFwnjJC0LSLCOOUyRJYrpqcWG1RsHU8nNMlqTc2+2TJBkzdUGwblRNCqZGrWxy+cwUtbLJG1f3GToBfSdEHa/bcZwwdKJcxNEbhjQqJpWiQaVoMD9VyMWq7b7H0Xiyw/PE0dctjlMcL5qQoyf4VHH0DG9+iq6vT3IGSdKM7dZIGEGGKZahUbQ0pqrWA2uKG8TMHCF79oYBU1UbWYYzi9X865fPTuXnfNePSMZ9XEtX6CQpqirIo4eJEq8/P0ur7/PqhWnOrVTZORjxzi0htC0XDSoFnZKtHUsL7I8CojgljBMUScINY2ZrNrIsi/lgmiLL99fiOE5p9lwqBZ3VOZHQ+MGdt5Fl8KMYMiHeB0GW/9Wvnjp274fu6bapHXPWfpI66mF/797QP/Yzh/3oB74+DGD++N8uG/eVfprWqUfVw4f4wnOzrMyVjp19D3EoHjzEzY0e3aHHwI1QZGgPPKaGJpsHQyxdYWacoLs6V6Iz8HGDmGpJJ0oyFFlCAjRVwtAV+sMARZGZrtrESYptqszWRWKWH8YMXfH+L9s6ihIzUy+gyLIgRbvHRVJeED9WxAEcE4X6oaiBK0WDC6s10jR7YtHF0Z4miPff/JQwZTzZ/5xggp8GjLwIWRJ19vJMiXrZRFNlTF0lilO8IMYyVEzj+NnfPbI2x7EQhenjOqAXxTSqBRQZVEUZJ99UcLyIUkHjzvaAcsHI1444zvJzdKvniTQ6WRK9LklifqpAmsFcXSSKPn+6cewe/sIXV/BDsY68d6uNF8bIQJRkzFRtZsZGdZkEpxer+T0pD0mPOL1439SmWhJnakkSprEfBmF6k1IwtWNCicEwOJbkMXIjlmfFul0r6Z9qSqif8z/BQiWIYnrDQHCqyk+fmH5oCF44kdKlqjK/+NrKJ3LNnzYe9Xf6PENVZf7CF5+N1/dRaPU9NFVGChNUVcbxnr2+3PXNwQNfW9/vsTZb/fFfzMdASsbRVefaeodXLsw98uc/j3D9GD+IcfyISsHAG8/JnyXIssTaQhnXjzF15Vgv7Wnw01MVfUaoFA1keZQPFmZq9riAFg2DWtnIi2EviLl6t0N3GHBnu4epqyiqxAunH3SSqpUNOgNRAMuyRPUhb+AkSbm3N8QLhJBDkjN2mqOxu6/MqfkC791u0xn47Hcd0jRDVWTqFRNDVdkciJje9263keWMq/e6dAZ1OoOAr720yJX1NlfvdOgN/fwgFccZL5yp0RlKlGydVt+jWjb4ve/do2CqlAsGC9OFB4hZSzNF3rvdypswa/MPErdW5srCfQ+xsZ1ZrLJ5MCLLMgxdyQu6euXpDygTTDDBk8PQFQqWRn8YsLE/pFzQ2O96lAs6pqGw23Fw/Rg3iCjZGn6Q4IcJsgztQUCUZNza7KJpMlfSNkjQ7ftsHgxxvBhNlfAkUfRs7A/Z6zn86Y+2sHSFnZZDmmVYhsb5lSovn5+hXjYZjZtEqirn6RT1isluyyGKE9691aJgaiiKxNJMEcsQIgtDV5itF9AUmb22w3ZzRJJk3NJ7+bAlSTPeuLbPt9/eJk5Spms2v/rVNdp9n5EbsdMesb4zwA9ivCCmZItY2/ojiqWd1oitfeFKUi+b1MtmvieoinwsXePwtT4sohqT9W2CCSZ4hmDqKv/hL17gl768yv/vz+7wO9+5y3ZzxH/5G+/yT37zfb50aZbXL8/z8rnpj9RgehZRL5sMRiFk2Xh/jCFLcQMY+TEHHQ9FBk2TERZXkKQJIJEmmdBwkPH99/f40qVp4kSIDGfrNu/eanFxrZ4PgZZnS7mzmarK9EcB/WGIJMH5ldpDC+CCpaFrMmEkzuSNskmWZVzf6IrrRrg7ztQ/eTeKo/tjrWxw7lNwh3taHHRc1ndFI6dc1LmwUpsIOSb4RHG4JmRZRncYoMgyfcejXNA4OBDuet1hkNfSlaLObsvB8WPiOCE60RvtuSmqIuLJg3DETsuhWtL587e3+ZWfOfXQwfjSXCl3rbMtjcZDEnsO0aiY+blUU+WJk90EE3xM2KYOEnnCzXyjgBcK9yRNlYmSjLdvNgHoOz7X7/UgA0mGv/CF+8SfpSMmL1MVi839EQNH7Pkvnb0/lJ1vFPHDJCdJHk3bqpUMvv3uDmGUIsvw9ZcW8+9JUsYffP8eQZiiqiJF8pAcWS7qjFxB+JGljLmpQm5Gc9TpL8sybm72chOXlblSTkBJ04zr97oM3RCk8VljLKbQdZW3bjRzA5mf+8Jy/piKIvFHb2zg+DGyBF9/eZH++LxSLRmcW64+0b59NL3s7HL1oQnCJ5FlGTc2uvnzHb2fp8Fh3wLANBSsiTDuJw5RnLLbdhh5IZ1BgOOFOF6IF8QkWYYqS4RJyk5zSG+ookgynYFPtWSgyBJnFsvEccKtccpNtWiw3Rox9CIkScLxQ35wRbgfL0wX8kHwQdfljav7tHoenZ7HwA3pOyHdYUDZ1licKfHVywssTNmMvJDpqsW9vQH9YUCaZURpSrmkc3H1PqFCV2WKtpb34J62hqsWDa7d7fC9K3ts7Q8JooSCpTNVMegOPNG/u9nMa5UwTvn9762LdUOCr7wwx9mlGpah5n094JH9twkmeFYx8iKurXdI0wxdk7l0qvGZCPyKtiAhHZrSfdzPWrVosHVkVnp0jlcrm5RsXZwF4KmMHX7nO3f44x9usNf1UBWZoiVEFTc3dRani/zSl1fYaQmn0/2ex8gNafVdRk5IEKUkSUqYZJi6TBgnnFqocn6lxmzdZq/t4PoRRUujN4pI0oyCrZFmGc2+x9W7HYqWBpIgqb15/QBZkgiihAsrNRRFwg9i2j2fOE65a/Xpj0J+8MG+eB2yLH9di5bG3JRNNuapr8yVcPxInP0kcVY7RLmgo6pyPk89fC2XZov5maZU0KkUni3iwwTPFtJUnIcIj5NpAAEAAElEQVQHzoNn+E8aH3YGiZOUq3c7OF5Eq39oOgflggESrJ5I+l2ZK9HqiRpM15X8HF8vm3ltZpvqMRMcU1exTJUwirhyt4Pjhhz0fHRV4vZWn8XpIj/8YI9K0aBU0Pn6Swus7w2I45SBIxI7FEXi/GqNoXN/ntl3Yt681qQ39AnjlOWZIgddj5fOTlOy9WMEoDhO+YMfbAghlwQvnKrznff32Go6HHQ9lHHtc2ZZrEsn1+3u0OfWZo8sA8tUubRWR1HkJ+rJnqzZTs1XmK5ZLM2UeP9OO68xV8c14Op8mc2DkUiVVqRchNYom2z54rl0TX6AOPqTjFubvZzbszRTzNOoDnHy7PvVyws5ARlgeaaU96n7TkCr7/LerTZRlKAoEkGYsNsa8cOr+0xXLWolgyzLaPd9dluHiS/CmT5OMlG3SzAYhZSLBmQZbhCTpinVssGNzTa7TZcsy5AVCU2RaZRNSgU77y9WSwZTVYvuKIBMcJYqxcf3Cuvl+zWwoYt0coCd5oitg/uz87PL1Q99TU9yhz5NB/wJJvi84852P9/bZus2QzfE9UWi59JMkd22SLVQFZmLp+rHzEjm6gV2WuLzV7SEcaszTtNYmi5w0HUJQuG4vzxT4Acf7JMkKYamMFO3ubLZJgMqRZ2Xzk3n88X5us233t6mNwqQAFWBf/pbV3B9kczx6984d0zU9d7tFu/cEH3Q6ZqJJEkcdMQ9rc6XjtUmBVPjvVst4uTh91Qvm7TH89GZms2dnT7dgehJXq4fF46cRKvncWenD5lIBH5utZ4LBKZqFrah5sKXqarFb33rDkEo1uJf/NLKUxnEPA2iWPA/xT2ZfOutbQ7G55aXzk8/IMp/HNZ3Bxx0xPo527Dz/ftZQrPrcXdX/J1Kts6F1dozI+R41jFTs7izMxBrDDBdffb6cl++vAK8dexrz5qAA0CWID3y7y9ffPz69nlElCR8/8oeaZZh6ioX1j57fsjTIooTrtxpj2drEs+t1j7S/Hwi4viUYRkqL5xuMHBCLFOlZOtUiwbtvo8sHy+gm12XOEnJsozVuRKZJLHQKFAqPPiHbVQsdE3B8+MxcfrBP6UsCyXr1oEQbozckEbVIssy6iWDvbaPrinYukrB1EjSjEbFomBrNKoGBXuaf/fnt9E0CTIZspTdlsvppTof3G1x0HYo2ho7rZGIAFUVMbBtlPjVr55hv+PSG4WULI07O33CKKFcMNhruw80YStFg195fY3t5ohayTjmQnGI8ys1QRwfBSxOF6kUDcpFg/4w4NxylfhQhDIZ3EwwwacKSRKbztX1DlOByamFMpsHQ2RJYnG6yNX1DkGYkKYZ01UDZCGQGIx8Bo5QHpYKBvttNxe2dYcBy7MlolikBa3Mlbh+r0fB0hg5ISMvxvMlvDBGUxU0RSYIE5o9j+XZEpahEoQJ1ZKRNzWXZ0sULY3b233ssfo6y8DxY372lUVafY9GxWK6aiFJUh65WLSF08xu22GmbjMYBdzZ6uVFYW8Y8M6NJtWSWGvSRLhl1komszUZXVNZni090IA7xGFzCqAz8FmaKXJhtUYQJsJJ8Uhj+PC1bg98FFmarG8TTDDBM4layeQ//cuX+Bu/cI7f//4Gf/TDDdZ3B3z3vV2++94uIAZ955arnFmscGqxwmzdplYyPxcNl6OpeR8XMzUbZazGt8fn2qETUDA1NvaHKDJjp7WMqYpBBpQLwhntznafMBaNTlmW6AxCvvZShXrZYK5RIEkyDroea/Ni+HX5zBTVosHQDSmYKvvjZmeWwX7HfaiIQ1Vknj/doDsI0DURfT7yolzAAWIf+zREHEf3x+4gwA/iT9XF70mw275/TYNRiOPHgqAxwQSfEGZqNoamcP1el1eemyEIEpbninSHAdWCyc2tHraZULA0ykWdV5+b4drdDpv7Q6IoYbftcsSwFhDkH1mSkRSwDY2ybdB3Qjb2hpxfebD59dqlOaarFn4Yc2qhgv4Yt6i5RuHEufsZzOadYILPEaI45exiBdsQKTtzUzZTFYvdtstMzeT7V/bRNRkJuL7RwdJV0jRFUWV0VeULF2cwdfXYwLPd91mYLghhpipTLhqcW6kSRSm1ssGlMw229oeUbZ2lWeHIGScpV+5ETFUt/EDU3Egi5TJJM+7tDQnGkT9BGLPddJgakwXDKOH5U3VcP6ZaNFhbrNDueiiqxCtH4uC9ID6WwrvTcnKylONHOWmTDPbaTk4AO+g4WIaGLEkoipQPpAFu3euhaQpFSUKW4ep6Ox+U9oYBXhB/aFpQGMY52REEseaLz82ifsj65gVxLuAAcY75KCKOw75FlIgEE+VzcPad4JNFd+CjyDIXVmp0hwHffmebmZqFGyQMnIBayeDcch3Hj0iShNmGTaNiUCmafOn5Wc6v1PnSxTn+zZ/eQpIEQaDT82lUTCxT5cqddk7S3Wk69IY+1ZLJXtuhO/CRJYkUQQqPx+ncSQpk5P255081WJ4p0Rl43NkZYOgKUZRyZ7PPqblKfiaXJIkLq3U6D5lrPAkOe3OSJGYBfhhTKhiszpWpFA2ma/axWmW3Obq/bmRwbb3L2aUaiixx8VSdzkAklv20GAJM8NODw2QcgDBKafd95qeefo/5uNBU0R/oDe/3Bz4OzIfMSg+hqzK//Poqd3f6D5xtHocwSnjzeosgzpAliShKcbKIYkGnaGk4fpgn/MgzYrZQLmhsjM3vaqZKsyfMNMq2QZJkXL3X4fxKjf/ol57j2+9ss9N2WJ0v0R+FpBlcPt1guzVCU0QP/6DnIiFx0HUIwgRVkWiUDbIMfvnLq7xx7YB62cIyVJpdj/dvt6gWDZHIpMrMNoq8+twMK+MZR3vg53NOx4sYecIo6+iZRlMVXhj/bQxdyfs7X31xgblGgSCKObNQ+dDzzAQTfBw4fpSbk5GN+4WfEmnxw84g/ZE4+xctnVcvzBBECX/xtWUyJBoVi9kTfcxLpxqUbZ2BG7I0W8oJNqcWKpQLuuBLlI/3pWVZ4tJanTeu7VOwdNI0w9Qj0iTFNBU6Ax9VlRm4Ibap8fbNJhfXGtTLFitzJUoFIzcy6o+CfB747789oF42Oei6yJKEaahk4+c/tXh8LWz2XCHgAMjgz97axgsTwijG0CRAolY2KZo6l041Huhh7rfd3D3c82N6o4BGxXqinuzIe7Bmm65Z1Momv/L6Gjst5xi/Y22+gqmroj6dKuTntYXpIpap5vXpjyNt6vMAP4hzAQeInvPJGbIQdd8/+1692z4m4vjqi/PMTdlEccobH+yx044oF3R6o4BKUUeRJVwvxtRUBk7IQdfl519dJkxSRm7I2aUqnYHP5v4AN0zJSEmSDEVRqBYMZsfpUqoiUy0Z/PDKnhAuphmGpnB+pcraQpWvvbjAYPxeqI8/J5fWRE+gVNA/NKUyr4HjlFrZzN3zd07Mzv0w/tCUlodxhyaY4KcRUZwc65fd2e5RsMTelmVwfaObp73FScpB1z1G2v/P/ldf5p/93k28MOJXvnKaP/7hPW7v9tFVlZm6hSpLtAcBBUPFCRLqZYMoStE1md7QZ2muSBylVEoG9bKZn1ubfU+cwyWQVYn13aEQWAJxkvHG1f1j5/5r6538v/daLvNTBWbrNpIkYWhKXpsYusLACYmTNL+nZtc9ZiZzerFCtWSQpBm2oTJwQ5F6qigP5SIexW7byVPvRq7Y/w7XF1NX+UtfPcX6bh/bVOkNxZ4OIuX8+r3upybiUBWZuYbom6RZxl7LydfQa+udJxZxJGmWCzhAnA+WZkrPXE9ytz3K/05DN8Txo2M15gSfHu7tDCgXDVRZRlEkhidSuZ4FvH1z74GvPYtJHKah4YcJWSoE0je3XU4/Y0Eve22XekWEBhiaMPZuVKzP+rKeCu2+nwsY0zRjv+NORByfV5jjSLJ23+PKnTaaKrM2X37APeeQeKzIMoauiuK3ZKKpCo4XsbE3JCNjZdxQKI3/t7k/pD8KKNo6K7OlvKkQRgk3N7t0+mJ4I5Oy33JIsoy9tsPQi/CCGF3OGDgRsizR7Lrc24vY2R+AJDFyQ4IgQVYkkiTDCWPWdwfMNuboj3zubItmJ5loLpdsnRfPTqGqMoosEUTClV6SpLwQ144U5Gmasbk/zA8+l049qAoLooR7uwOiOGVhqsDikaL2UN07wQQTfHLIsoyNvfufy6WZYk5eDaOE9d0B3WFAb+jnkdwrs2X6o4Df/s5d2n2fc0tVGlWLetWmXDCQkES6kOLjuD5vXT8gCEVDx9BVFEW4sSiynDdbyrYgtPadAD9IiaKEMEnRVRlVgavrAf/3f/kWz63WOb9S47UX5h8gnemaws17Hb73/i62qXJuucp01WJjb8h+18X1BBnTNjWmqxa7JWPsep6y2/LYbTnIkiDXuH5MFItEkR98EEIm8dxaDU1VKFp67hhTKwvnkUdBU2WSRBRzkgSKIlN5TFNr5EU0ux6KIiJ2P6wBNsEEE0zweYVtavzaz53h137uDHd3+nzr7W3evH7A7a0+67sD1ncH/MGRn1cVmemqRbVkULA0CqaGbaliP5GlfN9QZAlZlkjTjCTNSFIxgDj634ciQfH/KVGSEh/+94mv5/8dp8RxgizL/G/+5ksfOd506IZs7g+5vdUjjBIaFZNqycDQFCxDRZWh2fOJD60SUvEfzb6HArT7HjLkRO04EU3JrYMhv/2dOyRpRr1soGsqL5+fpmhp+T506HLWGwa5iEM8hnCoy8hYni0da2xp6vHztapIIJE3w0RKiHjM7eYIRZFYmyt/bMHFw/bHzxqaKkSj+12Hzd0hzZ7Lz7y4kAs5J5jgoyKKU+7tDgiihOmaIBTsd1wsXUVVJLwgYeCE2KaK60cM3Yi9tsMHd4TDXpQ++rH7ToRtKlQMAy+M2G6KZM6feWnhgZ897CVYhkqr53Frs8fiTIlXL8w88vEnA9EJJvjkoMgSAydir+0iy0KEtdNyaHU9ukNLECz2hsjjM4+qAuOA7IOux3/z21cxdYX/4BfO8u7NDkM3ZHG6yNAJ6Y1JRHMNix9dPcAPY55brXF2uZb33jb3h/zrP75BGKbMT1voqoI+7k1GUcK/+/M7xEnGwlSBvhMShDGaIuEHEe/cFA59Cw2LW1sZvVHIVMVkZa5IqaiPXahT7DHBUVNlXD8aEyWlY8NiVZGPnTWSJONP3tjE8SNqJQNVkVBzAlLGH/5gA398LYosoejiOQ4H0iDOEs2uy9CNKFgaK3PlfBiZpilvXDtgv+0wVbGQ5fz4harKyI84giRpxsbeAGdMptzvONzbG6IpEpfPTXFrq0cQirPe0wg6JgT0Hz+urre5vSUG7l95YQHb/PT6LIeCR0NXMY2YZs9h5CWo4/ej68dsNYfIsng/twY+tq7Sc3z+6Acb4nNuKKQprMyWuLPd54cf7BHFKZWizty0zd3tPpqqMFU1ubXZxwva7LZHXB07+WdZih/GRHGG60fY43N7pajT6nnsd1x0TWZ+qkB3GBCPCw9TV5AkiXu7g7xHuDxbYrr20Qdp5aJBwdRodjzSVLhnzjWK9IYBt3b22GuOqJV0Xnlu7pgQ7PB6DqEq8jGi6NH5wfxU4bECkzRN+cEH+zS7wlzmS5dmkR/1wZ9ggs8AJ4XSn7Rwuj8K2DoQtfzqXPmxvWb9Y87fdlojOn0fyxB9nJEXCQKxJO7raC/B1FUurokzSppmbOwPGR1Ze0AQ1O7uiM96o2KydTBkpzmk1RXidlNXkRUJz49pyz66JvPf/s4HeGHKykwRN4gJwoTuMMD1Q0JNRZZlpCwjThNcP6PbFzOBoq1hmApb+yOaPUF0e26tgR8lXF8XSYanFiromszQDWn3fYZuSKmgceVuB4k2t7a7+EHC9sGQoqXxxUtzWLoiCOdhjKbIFE312Fz06NpWsLRHutQ/6m9zlPDrBTH39gYkScbSzHFy62GvautgxMgNKRcMvvrinEiKm2CCJ4B24gyvq0+XGBQnKeu7A4IwYar6oNDiJBRZYrpm0R36fHC3gzpew0xDRVVkukOfoROiqQqXTtU59xATi6NYmn144k+jYuH6ETc3e6RZxtJMiaEb8s7NJrIksTpXxDIU4kQjjFLiJGHoxWSAIsFUxSBNM0aOShCmzNRMDro+tVKA40WszZepV8w8MUCVJVw/JklTkGW8IGan6XB3t89ey0WSMpbmSpyer/Laxdn8NXf8iCBKGLkhqqygqSqmLs6MGwd9/vE//xH1ssnyXJlfem2ZrabL3Z0+zZ6HZYi010OeypP0ZI/uRb1RQKsvHmd1vky1ZD60VzrXKDy0Lqr9mPuqcZKyvjPuwVWtz4RXoigykkQuonnY3m4Zx9d744SAQZZlzi7V2DoY0ncigkCIAQumRsnSkCTwgwR37J7f7Hr8yz+6xm7TxQ9ibm31qBYNpHEd7ScZWSo4AZapMnSEa38QJAxcX7jfSyJZQ1M1Ti9VsA2N3/3eXX7wwS6tXkDJ1licLvGXXl+jUjS4s91/YFZwa7PLlTttRl7MhZUqC9NFRl4kZi9pytAJ2Wu73NsT60G1aAjS+CNmA0fr8lrZZHG6eIw79Enj6PPVy+YjDRwnmOCzhCzL+YwUHlw/DE2h2XVxgxjLUJmfsvMe1lTVolzQ+epLC0KgaMjc2OyyvjtAlmV0tcHqfCUXhYRRyFvXDhh5EdWiwYVTdda3+sRxQhgntAcef/jDzfFjm/RHPkgSWirlvYhD2IbKne0+rh9Rr5i5eRSAJEt0RyE3N7rIssSXLs3yhz+4x7u3WpRsg7/wpcVj97Q0Iz6bh72BVk+c6S1T5eJanShOyVKJhIwsy/h//7sPuL7RoVLQ+YUvLdMfRdiWysqsSPzwjlznyTXbPnJ+vx50j31PU6X8nhoVi1rZ4N7uQPRXpwvIksR2c4QsSazMlT7UfOYodE3ORTBBFBPECaOBjyyLx3ocDjleUZwyW7dQxvxPEByt7sBjv+M9ksv6eYSmKPiI9wsSz5Qw9I2re+yOieqvXZp75sT3paJOFCXEaUqayY81hvu8ovqQvuGzJuAA6A/u80u8MH0sT/Fzi0ziyu0OXiDOdl975cFZ9ucdn1Qfb8IE/THBD2Jub/fzZsbdrM+F1fqxn5mt2/hhjKErIqZTV7BNjeXZEu/fbuUu8Nc3urxyfgZZlvLDB4ihj67KefGw03TwggRNVXD9iHu7Q6I0zQeT+x2XLAVFgTRNyDKZXhBDltFOA6I4xVDEJaepiEq0dYU0FW7E+22POE0Pb4kkSTA0ETncGUeRGZqCH8acX62iSBKGrrJ2JLZ0r+OwP1Z5ur5Q1J8cBN3Z6ufuDre2erx4bvpYhOkEE0zwyWKv7R77XBq6kg8P7u706Qx87mwPyMgomhqtvsfZ1Sq/+c3bxElKkmVc3ejwN8+dp2AKlw7bUgljFcso8tvfaZIkGXGS0er7FE2F6ZrNQcdFVWRW50sMnQg3iFEVmSyDOE4I4hRJgiBKafZ8pis2B12P/mgXXVMwdIUvXZo7di9vXt/nnVstZEmQTTf3h7x8bopr97pkWUZvECArEq+cFw6mpxcq7LRGtHsR/VGYr7uSBLah4MsSBx2HRlVGlWXeutHk1372FMuzRbaaI0q2xuUzU48tbM4uVbm7MyBNxfDkcRt4nKSiWTwuum9t9Z4qCnGCCSaY4POKUwsVTi1U+E9+9RL9UcCVO21ub/e5s93n3t6Ads8jTlJ2286xNITPAlmaEjyOMf0YpGnGjY0uuy2HD+52UGRBzq5XTEp2iq4rQp2fPPj4acJh++mhCIKEO9v9MfnaZ3GmwEHH5c6OIKQdbf5VSwaLM0Va40HdwAnzveXGkdriYTi6P2qKwqmFMlGccmvr+P70wsfcn55mf/xx4fRChavrbW5u9ChaGt1BwLff2eEvf+30Z31pEzzjuLc3yB34HC/iwmqNME4YjIRT7OmFMkEYI0sQRzHru0OCOM1JlY+DODtn2KbK0I1QVJk4zdjaH3Fu+T6J4aDr5r2Ed242GTghJVunP2pTLmicXXr2ImsnmOBZQ5pm7LZHeKGIHv/u+7t5Lbnfc+n0PJIkQ0plTs2VGXgR/ZHPTN1muzlivA3zf/3nb3N2qQoIsqQkSaRZRpplrO+OmK2Lc8b3ruyNB4hiSPHf/e412uO1qDv0efn8NK2Bz1TZ4qAreoogXFZn6zZxLGFbOv2tHkEUA3Bvf8R0GJOmsBsnfP/Kft7vvLnZ46Vz90nYgkwu1qmjIWeWIXqFe23hiLe5P+SgK3oSvWHA6lyRZj+gYKoEYUynPz4bSnBhtcZWc0S1YPDLr6/S7IrXzD6SQub6ordwSAC9dq/LjXtiyNofhSzMCOGLLMEXLz6azL19MKTZFY/Z6fvc2x0SRDGxLHP1bhdVFn87xxPCkYn72+cTza7Lj64eAOL99f33d/nGF5c/teerlU3mpwp0Bj4/uLKPoqikaYwTJZiaSppldHo+pYLGVNXE9yPRmz/wSZKMds9D1xU0VZCEW12PkRchZdDq+rh+zFTVwgtiFEVipz1kMIq4ty+G8yM3RNMUaiWL7sBD1xSKBUGMMg2VOztiXuF4MDdVJE4ytg9GLE4XefW5WdoD70N790+DF85McWOjS6fvkaQqUxWT+pjUsLE7oD8KiJKUt64fMF21eOn8NLe3eliGyldemH/k497d7udu4Le3ethnpx7p3HvlTptbmz1ArAGlgv5QY6kJJvissDBdJIgSHC+iWnq8WdDT4oFe82aPy2c/nV5zbxiwtS9En7sthyBKqJdN7uz0mapY1MvmI3sJe20nd4c9uvbc3RnkLuWHa0mWZWSShJSlaJqYj/ZGAQoSBy0HVVWIk5S3bjRZmimMk4lSFFkmzTKmqiZxLM4opYLGbL3Avb0BYZRw/V6XIEoYeCESgjB+e6uPLEn0RgGb+wN+7tUlbmz2qJdN/CBhfa+P6yfoisR7t9oEUYwsyfhhypvX9nnl3AxJkpEmGbIq4foRrZ73qZAtbm318HxxZru52ePl89Ooipz3qrrDgLevHyDLEnONAt95d49ffO0Zs+2c4DODaaicmq+w277fL3wabO4P6fTv90XsEwk9D0MUJ9za7OVE+NvbfZ4/3RD1z9jcR8kyPrxz8njc3OgRRKIWunqnxa2dPtm4desGMV97eYE/eWMTSYYsvv98aQbtYYBhaFiWQbPnctB1kCSJIIzZabnEccqCX8Q2NKolg/lGge2DEQtTBeIkY3N/hKXLfLDeJc3E2tQbhRQMnT99e5tvfGGJ9261GDoZX7w0y42NHu2+j6YJ0bwfJJBJ3NzqUyv7DNyIJEmZnyriBzHdgU9WNCnZOocl2ZP0ZC1DZW2hzPrOgJEbMlu3RV9LIq9FP6+4t3u8B2db2o89aVlTZc4uVdk6GCHL0kM/L7N1m5fOTXF73O//ygtzD/xMu++x03Q4v1zletZFUSROL1bJxqTk6ZrNftclIyNOU3b2HcIoIc0gShIkKaBcMCiYMmEYk8mg6zKKLGqNKBG9SccTQpA4SfH9mBfOTGHoKlEc84c/2KA98PFD4fw/8mI0TWKmVsjNGg739+7A53tX9uj0fbwgxvFCNvaHTFctDF3l6nqHoqUJYXnLQVbEu/Jx9cZOc5TX5a4/wjLUp04IfBo87PkmRgwTfN6gyBLnlqts7A+F4HC+zMgN2e+4GLpC0RQzxDTNSNOMnZaDNN4FHC8iy7Lc0PXmvTZ3dnokiQRSwvV7HX759TU29keUbZ0bmz4DJyRJMzpDn7tbXaI4I0lSBk7E73z7LpIs0xsG3NvrUynptHs+1aLOz39hiVbP597+kKmKxbnVep4g4vojLp9pcOVuhzBKOLtc5bf+7DaOHyEB33p7W+xxQGcQ8O//POL8ak3cU5blfcbD3sAPPtgnjGJmajadgcd0zSLJUsgk3r3Z5Psf7APCqLrZ83jl/AxIkKWwtlCGDMI4Ya5eeKzQ4txKhe7IzxOppir2kXsasrE/zPfbw15k/lqf6Jt+GM4u17i3K/brUwtlOn0fPxigKgrzjccLzO7u9PNE4Ts7QlS633GREPvPnZ1BzmVdZ/DQRPfPG04tlrm7PSBKkjxB/lnArc0u19bv96VNQ32sqdrnEdNVm3pZpABrqsypxaerAz4PqP6EeNWdpK/8znfu8IWLD54hP8/Y2O/j+BFxktIbBuy1nWduPt2oWDheRHcYUDC1jywwfjZWsWccYZSw23YIgjhXvR7GqPRHAXGSUi2ZKLL00JjgNM1yIjEIR7o0y5CRCKOEKE7wggRDVwiihDhO2dgf0uq7TB9p/K3vDtAUmTBLyTLyiDNDU1AkCVmRiZKQDIk0yUhTCCXQFKiXLSRZplo2mJ8usLnXI0wyipbOiJAshbMrddIk45tvbjFVsQmjhGJBxdRNlqaLD40lC6OUIEoIQhHNeTgEPvn6HSLLhGvpRMQxwQQfD92hT5ZBtWg8QNo8+pkDcsW7+J5wNM/GXdJKyaBk6xR1DT8QbjOWoaIpMueWK/zoapN6xaRSMNAUmS9dmuOPfriBl45V9AiXj5EbjV3JZXoDXzgU6grLMyWSlHGTKUWWZQxVJs6Ekj2IMvxQrIMj735MW28oCBV3tvskaUbB0ilYYBoKN7d6uH5KwRTDcj+4v+5MVS2mqhY3NrpsHYikIUNTsEyNL1+eR5Ek/odvCdfzgimEI6vzVWbqNq8+N/tEr71tajx/+sHh8Mn9ACCO03yo9rC/zQQTTDDBTwIqRYOvvrjAV1+8r6xPkpR23+eg64oYVC9i5MWMvFDsRWlKOk7biJOUNMvyVA5FlpAVKY/xlCUJTZXRVBlVldFUBU2R86/d/59y/+eOfN8y1KdyQzmKwySQw+Zikoo9VFdlvvDCPCMv5N2bTUxVxZUjjmo5jrpzHUKVIUlBkSFDIk6EY5UmS1i6iMxkfF4+iUNXqjQVMcX3X+v7tUVvGJBm2QPng8P98RBeEJ/Ynz6ayOUoHrU/fpYwDZXl2dIxJ0wneLBemWCCp8XJM12aZpxbrjFyQ/qjANePObtUZeQFaIrMdssleIjY62GQEQ6YjbJJtWTla9rACWiPnRJtUzt2DUGUkBz5TDve5H0+wQSfJnpDn1bPo2BpKLLM7HifudbvEEYxYSxqX0mSWZwR39NUmf/d334VP4y5tt7h//vbHxBEaZ4c6QcxUZySShm1osnpcX9xY3/A0AmJkpRyQafVd2n3PUoFI3dvzdIU3VB5/nSDhekilqHy//iNdwhjca6Ik4zVuQqVok4cx7xz4yDvy/lhgm1oqKowfRkeqcvDSLiAekGMIksUbf1IjPTxPsRMzc732zvbPZEMHCWUCwZLs2W+/oq4n9/85i2CMCZJRX3/4tkGL5xuUCkaTFdtpqviMfbaDu0xKezwWg7heBFeGOP5wq3PVGVeeXkREMLXR+HoeSeIElRVoloSzrKH5PGHPd9JRHHKwAkwNOUjxWo/LQ7/BkVbn/RTEa7FR+Ge+PengeXZEsuzJX7nO3fRVBnbVPGDGFkmT13Vxv2wmakiJUunNwzxg5A4TYm8BMvUBJEPkJHIZFFXRHHKXL1AGCUM/Yi3rh5gWxpBGFMtGviBIGTUyzolW6NeNqmVTBZniri+SNf2gpjuwGO6ZvNXv34GEHVLb+gf+xyBIDF8HGSZIBssThUwdJUsyxi6IaomY2gyuqbkdcbACfi5V5efyMwkeMj84FFm8o5//JxztJ84wQSfByiyxNmlat4rTtIs7xV/XJzsNR/97Lh+yE7ToVQwPtQR/2FI04zeKBBGdZqCd6R2DqKY/Y5LEIleQjyubR7VSwhO7KOHa08QJbiBEGG4fsTQi8iASkFH1xWmqxb1iomhypSKBs2uEH6qikyAmKPKsoxlypDBTL3AVM1EliSqBYM4Fb2lNM0IwoSBEwAZhqpQtDQ8PyZKUlRVZqpqUSvptHo+cZwyW7eply2GXoiuRjheSJZlpAkYpugvpZlEmKbMTdu0Oy6yIuH48QP3+0nh6FwnTTPiOEVVZJFcm2QE43lOkok95eQeOcEEH4bpmvWRxZ0PfM4/5HMQxyk3N7rstd18jTp8DJF8bNGoiGtJTzZUn/bajpx3vCjB9xP2Og6yLDFdtfj6S/PsNkccdDyaXY/Yi5DGDtCqIrE4UyIIEyQYrzuw7YRYpsZOcyjW9CzjhbPT6JrCFy6K2WKSJPzJj7aIE1GHMRbAJ0nGYOSjKBIX1xrM1Qtcu9fB8UTv6PIZlRfPTfOdd3d46/oB280haZrhuBFRSaQP1cpm7po+P12gWjREL2i81zy3WvvQVOSZmi0SWI6+VqFIA9lrC7dzUxc9p88TkfLkXhNGCfyYRRwgxN0fRv6/fHaay2en2W6O2Gs7LKnyMWHy4Xu+WjKZqdmcWazyi19aYbd93zR1r+3QGwUcdHzgiKhpnLJi6DIlS0fXFJI0HadoxsLMVdXo9AOSNEPXFExDZrZe4PUXFvDDiK29IZ4fi308G79N04yRE1Et3v/cDJyQH13bo9X3GbkhIzcU8/goEQnpSYaBEGYF0fg9JUmiVimbeWKwoSlUS0ZOeIYH14pPe25+cq36tPbsCSb4uKgUDS4fSV0rWlqehrS5Pzx2vnf8iMKRmafjRxTHSRvNvo8kySiq6NxFCbx4dppTCxVMXeWdGweYhqjlpbFp3aFoWlZkRl5M0dKE0VSSstAosTZX5exyFdNQeP3yYv68NzePp1hYhsavfvUUAJ2+hyzLVMf31Op6JGnGyI/QFImRqTBXv5/2FMUpe22Huzs9ipZBGMWMvAhV8SkXdBRZwdAUNFVh62CY1yTxuKcKiB5omiIhhPVRnFApGsIYdiwkr5YMkjSjPwrQVIVyQT9mOHFj4/g9uV4Ekph567pKHCXsd11UWRZikadA0bo/Q3X9iPmp+xzMhwkwj/YDj+2F4wTDw15LfxTgBWKNt20N61NMq/0kYeoqizPi71R9htLjh+6JvuQz2JMaeRFnlqosTpdQFQlNfTbeM0dxfXPwwNfW93vPZBrHUdzZfvC+Pu9wvBhVgSQRaY/tnv/hv/Q5xMpcmZWPqZ959j5Jzxj8MOaDOx2COGGv4zJVsShYGjN1m839Ye58WbBcLq7VH+qAK48jQg9V3vWKmUdBWYbK1sGIKE6RZYnTCyX+8IcbtHoeAzeiNwpZnikx17B56ewUm/vDnAxmGjJRlKGqCl6YoJGhKQpxkuRpHckRB2AviJiSDK7cbrE4XcTSlfEhSUbRZPwgFoXh0KfV32GmZuIGMedXqmzuj3jlwswDxCxTFw57aZqhKjKXTh1PJwHy1wqgaGsPxKxNMMEET4c72/1cAV4p6g+kAk1VLZo9jzTNUBTpGGlztm7jjgu7OE0xx4KNg66HLEN74GPqCpVGgW++uUN36HN7u8d0zaRStLh+r0ujYrG5J8QVGeD4KX7o0x8FKLJMNo5Tn6paGJpCkiaUbB3PF8QPZJnlRkEMsUYiorzZ8/jKZUH+3e+4/Ls/v02r7+O4IVEsEomiJKE7SIljoTS/eKrGTK3wUBWkrsq4QUxvGKCrMq+v1AjilHv7Q4qmysiPSYyMlbniJxK9K6LfH9wPDF2hUtRzZfxREukEE0wwwU8yFEVmpm5/JvHmnyQ0VRFujGHM5sEATVXE+m6ovHvjgD/80RZDJ6LvBJzkZ6cPmTceajPiFCRJRJ67XkStrDJ0A2qlOpapPpYQ+KjaYn13kDtdlgs6F1ZrxwYkR2HqCuWizuBwf6o/g/GcT4h62WSqauVnp3Ofc3e5CZ4NzNRsRp5wvrYMlXJBfGZ3Ww6doc9gFHLQcxm5EZt7fUZ+TBw/GQkhRbjodQYB2pisO1uzkWSJ21t9kODccpWpisV+xyVJhNPiYW9C15Vj6ZkTTDDBJ4v9jssfv7FBkoh6u2hpOYF4YabAGx8cjMWVGc+faXDIH1qdK3HlbvswLhc/jPF88c1G1RBumxlYhsLiqULe15upFfIBYsFSURQpd9tTFTGoA6gg4Xhhvk6UbJ2DcZLFbN2iXhZDSl3XUBSZVl+cGaolA9NQBQlDV3j5/H0HOdtUef+OuGZZljB1RQhOgdnGo894qipzZ1c4wPWdkEb5/iCuWjS4PnauK8Ya37+yR5IAEnzlhbncpalWNtlpOcTjRM/pI7V0raxzd3tAnKQossTKXImbY1f+etnk7HL1odc1XbNyQ4x62cCPivSH4ix0+Wxj7FIBhq5QLjx8eBjFKVfutPLh6amFysdKNfgw9EcBNza6ZJkQC1w61fhcEao+Cyw0CpRsXaQ+S3Dux+gu+OqFGXbbbv7vNM0ECSrOaIUxSDI7bY+Lp2oUbZU4TsYi7YwwzihZKvWKQd8JSMWX0VSZZschGovg00wQwOenbHabDl4Qk2UwckMun5miPfCZqpioqszSbInu0OeNq/vEScpBz2NhusjqXJlr651jgqd62URRJBofw3XWD2Ku3G3juBG7bYf5qQKuF1O01DzBZuCEFG0NQ1d4/imS/mbrNht7Yn5QsLRjhJSTOLtU4e5OnyTJUFWZM4sPmmpNMMFnjSedHT4tTvaaD8lcrh/y77+9npP+v/LCHGeXn259vLHZZac5YqflULZ1QRob741bByPafZ9W10NW5LzeeNR5YLpmizVtPDc8XHtkScrTPQZOIJz3E0GEKWQZ67tD9lojBl5M0dQpFnTiJCMME5IkYeSFJAnIsqjDNvcHxHGCosoEYYplqhQsDdtUiRIxcxUOxiq1kkG9bDJww7HALWO75dDq++y2HFRFZq5RYGmmyLX1LoamEsYpZVtn5EVY4zrr5bNT/O5313Ozj3t7A2rFT0fUOVu38/dRpahj6KI+1FSZesUkjlNsQ0WSJSRJ4vxK9VO5jgkmeBhmarYQQmeHa9PjyXd/9MYGBx2X9sCn3fe4dKqRr2GVooGhCaNLJHKR/EfFbN1mf3xmm6tb/Ps/v0uz5xLFmeA++EJA3xsFjMP4OFyizy5VcTwhot9pOiiKxGAYousySZLhOBFX73V58ewUmwdDvnBxNq+7KiWTS6cbXL/XxTQU/FAIbhVZojMMmRmTcW1TZa/tMnBCmj2X0wsVVFVmeabEB7fb2IbGfsdDV2QOui6vPT/L5r4wrXP8mLWFCoauMPKi/D5tU+XSqcaH7jXlgo5lqEKoJ4nf+3ffvovnx7T6HhfX6szWbZ5bq39ukgln6kJgRyaMAA57cJ9XvHOzyXu3WgCU7nT4lZ85hT4m5wrXa5dvvrXJXsulbAujhv/xN87nc31DF6JoTZXQVYUgFLWnBKhSRn8U0huGjNyIOM1QZQlNcylZOkgSYRyTpBl+FCOhsLZQ4s5On/7QZ313SJKBKkskkiAka5rMxbUa5ZLYq5Mk4Xvv7zFyIwbOWNypK8iyzNJ0kbl6ITcXWJgqoMpyXm9oqlgLHD/Kz/bVknHMEX66JlJgskz0Dj7tVIzpqiUSbMa116eZ+jHBBJ8WGhWTg66YA8jj1I6dlpPvwdO1Sj4v/NJz03zzrW1cT4h952ds3r/TJo7TPBH3yt0OaZahyRKyrnBvV5CGO8OAv/jFJZp9wa+plS0K9v36fPaI6ALEWaA3DPLP11FjlXrFYnG6yHZTnP2fPzvFH3x/nSgS13FqoYSiSPk9dQcB791uMXJD/FCk6XX6Pp4fk2Yp6zvkJhXzdSs3ic2yjMXpKpIkYegyBVMjjFOurXcAsW8YmpLXT5WCThinuWB9ebbE/FTh2D31R+KedE0my9S851gpaNzY7OXJwUMv5EuXPhrj1zLU+70teECEf7IfeJjgCqJncjSRSpHgW29tM3Ci8b/lJzLT+Kyx0xrltaE1Psd8UuYHnyZOL1a4udEjjBMUReLM0rPXk5qqWrh+lH8uLqw+W6kJAF++vAK8dexrz7qAA+BvfOPZS9bUVdhri3Wx74TMP2Zu9JOOZ3pqs76+zt/7e3+PbrdLqVTiH/2jf8TZs2cf+Ll/9a/+Ff/kn/wT0jTl9ddf5x/+w3+I+mNSgvWGwsFAkSSWZktYmsL51Rq2qfHm9YP85xwvwg/jR7r8nlqo0KhYZFl2rJHhBTHLsyX8MEbXFNqDICcYLU4Vcf2In3t1icXpAr/phlxcqXMwcNHVjEalwHTNQpFkmj0fpIx62cbxQq7eaRJEKSmMi1qVVy5MI8kSzY6Hpin87CtLbOz1efXCLOeWS/zz379JktkMRiGSnOEGCaoi0x9GLEyJiK6TIg4/TFidKxNECaam4Pox9RN8kfmpAqWCThwL18BPolk9wQQ/rciyjFbfy//dH90XORyiYGlcPjuVizX0I06NM3Wboq1xfqVGhhA73Nsb4vgRL5yuc9D1malZ+OOip1Yy6Y18NFVlftxgfP3yPLWSwa3NLiM/IssgTUFVJZI0Q5VlbEPFDxMunWpg6gqKLBHHCX0nYmW2zOWzdW5vD2h2PSolnYKp5Qrz9Z0+I1c0NwuWzuJ0idNLZW5u9hmO3TE1RWa6avELX1p+KLkijFOeP9Vg6IbjCLgKvaFwHzk1X6bZ82iUTb764vwDv/tRcFgYw9gVNIgpWNp4eFJj4IS5c+kEE0wwwQTPFs4sCXLexVN1HC+iXNC5tdnn5s6AIEzQNZmFaZuDjociZ4y8lAxQgFQCKROkbBgPBCWRyKEoMmVLo1I2KBdMXn9+nrmp4hM1qh5WWxzWECDcsoIoOeb0dRSSJHF+ucbQ/cnfn2RZzh3NdE35SI6kE0xwElNVC9tUCaOUki0I0Wma0R0GLM2U2MyG7LQd4dwoK5hqQogYxOqaQhwmOEHCQ0J3OLtYZmm2RBSnTFVFGsdU1cA2xp/TTAwshFvjFI4fYZsiVa87FGd5+1HW1RNMMMHHxvqYOAzCUXW2YfPFmRKSLPGdd3dYnS/hj+vBy2emWJotj80N7ru+tQYBq3NlRm6ErilkWcbqfBk/TKiVDL743ByGrlCwVL79zi5pmhLFqXDqd6KctKIoIskijFJKlsrQjakUFchgrlFgtm4TxymL0wUurNWI4hRVFgRFXRM/V6+Y/K1fOEd7FLI0XaRWNhk4IbIscdBx82SfNM1oVCyKtvahZ4c4Tjm7WCGMU4qWRnsQUC4KokStbPLqhRmCKMHzYwZuKAggGazvDHIRh6EpXD4zxcgLRdrGkTNNdxBydrGMGwgyyX7bpTYmnHQG/iMdzytFg8tnpvDCmKKl89I52G6OMA2V2bqNF8T4YUzJ1nPznZMYOMEx97tWz/tURRyH5BYQ77fuwMf6iHHePynQdZVfeX2V3bZLwVKZqv74zna/9JU1lmeLfPNH2/RGPiM/Ik2gNXDzZEGAOM74T3/lAr/zvQ2SNGPghsiSTKVo8oXnZnluzeHNq01KBYNqUUeSROKWiJ4HSRb9MMePqZsWaZoRxgmr82UqRYNyQefymQaaqmAbGpWijiJLaKrC3Z0+MzUbZywus3QVy1A5t1x9oEf4tOgMfZIko2jrrGoi3dYyVBRZ5osXZ+gNQ/7mL1bxw4S1uQrlpyA1z43FOdETzA+mqjZ/+Wun6fQ9pirWT3QtM8Gzi2bveK/4cbPDp8HRXrMsSznBduvAOZbacHu7/1QijjBKGIzCnJA9cELmGgVBzlRkPrjbZmm6SBSnKIrE86caGPqjE6mKR+YTRUvLZxdplrE6VyJOMiQJTpdNojimO9DHe7pHkonzgyJLfOWFeVbninzzzS0gI80keiOfsq1TKZr0HR9VkVmZLSMrgtB2SDx+91aT8yt1VFlGliUurdWJs4xvfGGZVt9jMAr40bUDJEnC1FWiOGVppohtarx6YRbHC1maKZJmsHkwxNZUvnBpjnduHlCwxHqqyJIgkCUfLzXgUVieLVEbuwWXC/oxo44zixWmqxbPrdUZuuGPfU+cYIJ62eTymakPPT8DDNyQZtdDGjv1x0nKpVP1fA3RVJnnz4h5njk+u3wcrM6VqZdN0jRjNE7VKVkafpjieDFeIJIIzi1V8cKYMwsVOsOAL16aYbZeYLs54odX9gmjlG7fR9dlJCRsQ8ELI6rjVAzL0IiTlOdPN/IzzKVTDW5tdvmrXz/NW9d2uXqvR6NiocgyjYqoWVw/Zq5hI0uQpqkQ8GdCoPY/+2sX+e3vbjDXsElSKBc03EBwMcI4QZYkFqeLnFoo8/7tdn7Prh/jBvExUufDoIwNOYduhK7J3N7qEY/JrGmasdd2mBkL8T4vIo5GxcIyjvfgPs9Y37nvoDx0Qw7aDkuzJeDQOb3Bb3/nLpWigSJL7LZc4iTO982DjkvB0liaKXJ9o8vICemNBKHa0BW2Dkb4YYKqSKRZhqpK6KqKrskYukq1oBMlCa4f88WLM7z2/DxX7nbyvaRgqsxPFbAtjZXZIrN1m9lGkeJYkL2xNyCKU4I4IUOcPU4vVJmqmqzMlXnt0tyYPJ1SKuh4Qcxza3UkSaQBaqqcGzeA4FpFcZpzAMoFnctnp4S7vKU/1H3+k8TJPsCn/XwTTPBpwDa1fA5wWNfXyyZhlFK0NVRFmKsKAbXE/+KvXOR7Vw6wTIUXzs4IAQdABkVb56//7Gn2Og6rc2X+7Z/exjYUYSihwNx0ia+9ukIaJyzMlEQa0FikUTixx3zY5+tv/9J5rm/00FWZnZbDbM3CDWI0RSXNpGP39Ec/3ATE9em6QpxmXDpVF4IvWYJMiFlkSWLgxfzM5Tl22y7los755RpfvDiHpkqUCjrX1u+vQa4X0+77uRBlp+1g6Wrec2j1vGMijmrp/j2JmqLFymyJJM3yJOVyQQMk2kdqvqeFJElcWBV1narKD+zf7f7xfqCmyvl5o3SiZ7JxMEJVZMoFDVmShMDnGcDRmbbnx/n8/fOOStHgr3x9jYOuR61kfqiQ+fOIMEq4fHaa7sDH1BTKz+A9XLt7IM7S48+JLMFBx2HmhNjsWcP3r3b5la9/1lfxdGj2AqolgzhJMTSF6xs9Xnth4bO+rM8Ez7SI4x/8g3/A3/ybf5Nf//Vf53d/93f5+3//7/Mv/sW/OPYzm5ub/ON//I/5zd/8TRqNBn/n7/wd/vW//tf8rb/1tz7Va0uSlNvbfXbbDne2+hi6Qmfgo6ky33t/l5EX4YUJl9bqzDcK7HVcJEkoJFfmyvwX//Itbm71MTSZX3xtmflGidOLFcIo5be+dZuD9og3rrcIwwTTkHnt+VkGToyuylzf6BKEKUmaoioS222Hnf0hQyfADVJkWTjgvXJ+hu++u09n7BpXLmhsaSOGbogfHmeDbB2M2DoYYdsKnp8gjRWbtbJFlsGfvLlFq+cxdEKyLCWIRNxwlo0jmrOMtfkS/5/fvsJ33t0ljhMqRVMclGSJtfkytqFxbrWaP2dvGHBvd0Df8dlpuZBllIsGc40CjYrJ6lyZzf0hzZ7H7c0emwdDLEPlL72+xqmFZ0+tOMEEnyRGbsifvb3NyItYmxdNERAHekNT8qGMqsj5kBiEw8eNjS6mrnDxVJ0/e2ubMEq4dKqOoavsNEfc3OxSsHWeW6lRKRq8dX2f71/ZYzASggdFkTANlXbfx/EjgighjFIR3Zuk9Ec+B22HgRsRHCEvhOOkQkkS5BJDk/nOOzsEcSJU9WRousQf/2hTiD4UERmbRAkDLyLNwNJFAej6ybixqrI0U2av7bDTckiShLJt4IUxcZJxb3dIbxjQ7Huoisx0zWRhqjheswOSOAUkrm902W25SMCl03XW5sucW6rwW39+lzvbfbwgwjY0SgWDM0sVKkWDcSIyIMRoh5GVh9htObx9s4kXxGiqxFTZQlFkJEkMdlxfNEwrRYOd5ghFkTi9UPnUh8uH66qpK5xZquaOKJ8Uml2X77y7SxgnvHCmwcW1xof/0mcAP4y5vdUniBJm6/ZDE1smmGCCCZ4E3353mz/8wSaSDM8tV/itb9/D82NsSyWOU1wv5iE8bJGGN44lP0Saia+FKRCneEHAfi9AZsDNzR6XVmv86ZubFG2NWtnk1mYPRZa4uFbn0ukGBx2XVs+nUTWZrduszt1XTxu6gueLzViS4O7OAC+IqRT03OFNkkRj7Lvv7SLLEl97aYGfe3X5Y70+cZJye6vH1sGI9d0B5YLGS+dmjjlsfdZQVZnl8bBsggk+Kdimhm3C3Z0e/93vXWe7OUIdE5sPug69YUgYpcfWgDBOuJ+V+XDc2h5w6yGRuboqUS2aLM4W+frLS0xXLb773i5DN2RltkS75/HHb25CBn/xy6v88lfWyLKMuzsDeqOAgqlyZqn6WGKFFyb82z+5yUHXZa5e4Nd//iy6/uBZMooTbm328cI4r+1/nOgOfOHoJ8HamNA6wQQ/LsRxxm/9+R2CMMbQVf7jX7rATnOEJAsS9vV7XcI4wdJV1rd7HPQCJAmeW62w3XQJopRyQUNVFfrDAFmSaFRNfnTtgDBOmCpbVIo6G/sjCqaG4wV878o+cZxSL5sUbJ2hE6BrCtMVk2bXJUkzpiom1791m+4ooGBoTFUNrt3rkWVwar7Af/O71+gOAkq2TtGU2OkIQUkUR/ybb97moOcz3yjw819c4uqdNpIsP5Dq81vfusWb15toqsxf+9lTbDc9Bk7AmcUKf/XrZ/KfMwzhCivEFCIt7IdX9ykYgljy3ff2COOEmbrNxk6frhNiaip/6StLvHerRZykLM4UmanZuThj4ITc3emTZeJwpesquq6SZRlhnPKdd3cA4Rx2e6vHyIuoFHTKRZ3tgxGyLHFqoULJ1jGPkMJWj9yjZTycMOYHMbe3RW1ZsXV+dG2freYIS1f51Z859cm9uR4CTZHZbo7ww5iCqR1zd4ticQZzg5jGmEj2wd02uqbwMy/O/0QTOXVdPfa3+7Tx529v8803t1jf7XPQ9R6auHcUYRTzf/p/fQ/HTwnj+2eB/z97fx4l+X3X97+v71L70l29L7PPaGa0S7YkLwgbC2zZLCE2hBuSi0+4+JcEcklILsk9hATHJ8DJzSGBc8/NOQkBgiEszooDFhghg7GRLVu7JY00mr33vWuv+q73j291TXfPaLZeqpfn4xxb093VVe/uru/n+9nen/f8ck3nJooyFFXwmJirtr+WS0UnIq/srQj86HF+IDUdT24Q6n/9+TkdHMzqg+86KNMw9I3Xp/X0Ny7pQqvfEIShBnuS+rNvXNLCclO5TFyHhvK6PF2WHwTqzSf10W87rJhpyTCia+J6C+RXZsr64tcuqdb09MDxPn3wXQdkmoZScbu9ua/UOjTFNAx15xIq5JI6PJTUyUPXVum+Ves3hNxIPh1XfodsLASuJxm3VGld0GYryepmrkyX9EdfvaALE0UV8kl937cf1wMn+uQHYfvels/EdWwkmrsemynr7bFlJePWmk0/TcfTS2/N6ptvzCiXiek7Hjqge1qJXyvzxomYpRMHu2WZhs6PL6tcdzVfrCtmmQrCUJWqo2+emVbuUlzdubiWK02FYaizlxfVcAMtFut66NSgurIJdWcTOjra1U6gvDxV0msX5vXSW3OaW4qS3Ib7Mrr/RJ/Gp6PXbzi+HDea/6/UXTleGFXJcjx5QaBG04/WSi8v6I1LC5qYKcv3o/a04fiKWaYGezPKpmKyLWlqIapoVK46+ta5eRUrTRUr0YFOi6WmGq6rr748Ids21duVkGlG91fPD1qnnHsyDEOXpooa6csolYxpsCejSt1VOmXrS8+PKQykuuvJtkwFQbRu2gxClauO/t//4avKp2NKJWwtlqITgu8+0qNE3FI6GdeJg1166ES/Lk6V9NblRU3MVTXYk9L77h9RdzahNy8v6vJUWemUrVOHCjq0anyVTsZ0cbKo8xNFZVMxDfemdWm63ErUzWpyvqKzY8tKJ2w9/uCIunNJLRTr+uork3JcX6cPF3T/iX6t12h6+tb5BY3NlNSVTeiBE/1bmpiKvemd+s/rJeO2bNuU5wXR+CefUqXu6u2x5XZVrS89P6Zz48vKpeP6+AePq6fr2vdjqeLof/3F21ooNZRNxnTP0R5dmiopkbB114Fu3XWooIsTRZWqjrwg0MRMSd86N6/LUyUZZnQInWmEeuNidPBNveFKpqFz48tSKH3zjWmlEqZcTzKNUHUnUKggSrINpYYjJVxTxYqjpWJDQTivb52b1VIlmv8pV5tRm2+ZyqTjsk1Dlbqry1NRRYJ0Kq5vvDGtpuOrXIsq/Hh+oMHejM5PLOuu0S792Tdrml2sqd70dWQ4p1fPzSsMo2oUj50e1AtvzarpByqVm1ESsWWqkE2oWHVUyCWUS8fV25VUb1dKI31ZHRm5ds7EsqLT0j/7hdf1rfPzqjd83XUwmjeN25a+/OK4PD/Q0dEufeKD158XWq9YaerSVCk6oGAov+nVFVbm4DZLEAR69tUpTS5U1ZWJ64PvOvCOhyHdzPRCVVPzVcVsU8cPdCtmRxVUgiBUNh1TrtXfrtQcvXVpXr/xh2c0MV9REErphKVUIqb/3397WaZpyg9CzbUq+7pedF/zg2iuP0r60TXrEA0nUMNxVGwdgmgaUiJuKgwDffHrV/T0N8aUiEdVPaVQmURMTdfT1GJNMcvUSF9Go/0ZlWqeCrm4xmdKeuXcYlR91IwOiq3UXd13ok993dE6eCYV7Ze6MlNWNhnTkeG8Gq6vVMKSZZp67cKCxmej6pzd+aiCwGhfVsda6+/JuH3N77tUc/TVlyc0NV9RJhXX/cf7tFxuaGK+qmwqpscfGr3j/n8yYa+ZBwB2opfemtVXX5mQYRr68GOHdWrV+lqj4ek3/uh1TbUS7T763oP6zS+cUaXu6e7DBdWajr784qRCSScO5GUahi5MlqN2ww+1UGpoaqGuTNLSE48c1JdfnFCp5urCRElB4KtYc9uJGhcnlvQ/nnlbkvSR9xzS+Ymi3riwqJht6P/66/fr8YcOtONauS8vV5o6OpzXtz04or96dUqO6+veY72qN109++qUDNPQ6UPdisVs5VuHdXdlEroyXVap5iiXjqlUa+iLz12S6wXqzSV1cDin516fVhhG1Y1rDVcT81VZhqEHTvSpLKnZSkRPJ20Vq01V6q66swmVqk098/yYHNfX0eG88pm4/vx8VCHp/mN9OjcR9a0TMVPf822H9cdfu6iJuap68wn9Xx+/T8Wy255rC8NQ04tRm96ViUuGqUqtKUOGcun0be3LWT23eXAwp5nFml6/sKC4ben9DwyvqULsOa4+/5fnVKm56u1K6u9/4v41cyYrezElKZ2wVao5KlUcWZahgZ6U/vszZzUxV1FfV1I/8B0nlEptzfzJ6p/pUCuJ9lZVao7+7Btjcjxfx0a79MBdO796iBRVrPrCX13alt/vVknELH32D1/X7HJdlmnoEx88tiuqt6x2cCCzZn42CLXrEzgk6b7jO3Pv3Y3YtjRfrCsIomTA3q792+fatT/5wsKC3njjDf3Gb/yGJOnJJ5/Uv/7X/1rj4+M6cODqjf+LX/yiPvzhD6uvL2owfviHf1i/9mu/dsdJHGEYqlar3fRx47MVzSzWVa05qtYbqtal6YWaCtm4zk+WZVumBgpJvfz2rFKJAWUShhqNpi5PNvXca2N67fyCgjDUctnXn379sr7/24/qTLOh8dmqlsrRAuxK1ny1Lr3y1pwy6Zi6M3GVqk35fqiG6ysRszS/vCDHC+T7oUIpGqwp1DfemNFSJSodH4ZSserKMl2F19lFtnISTKXiRQ2ZIRlBqPnluhpNV44bZcB7K8c9RA+RJDVdV44bnRb07Lcm5XqBXC86ZdRQdBpgLmUqM5hXtVpXJh6d0Pf6+XkFgfTim9Em50Tc1IXxQO863adqta5GvaHZpbrK9aa+8fqUYq0M0z/8y3P61F+7+47+vsBe8c03ZrTYKgl49vKShnsz7c2Hpw4VdGWmrDAMdWAgtypTvNYu0dp0fP2PZ97WgYHoe77y8qROHe7WmxeXVKo5cpxAz5WndXy0S2cuLalad+R4vlzfV6nalG2Z0SCn1lQuFVXJmFmKSrtOz9ei0waDaxsbQ2qXTGy6gbzAU9PxFbROkXFqV3tSnr82i1ySas1Adacpy5RitqVy3dPsck1eIFmm1HSkxUpDhVxKpaqjmcVo4ViKstCL1aYajUC2bcoyDYUK1Wh6qtY9xWPRAsuVqbJOH+7Rpemy3rq8pErN0eRCVZmErf5CWtMLVT3+0Ijml+uK2ZaGezO6Ml1WPhNvn5hWa7h6/cJ8O8M+ZptyM4EKXUlZhqGllRNWl+s6P1FUbz4p14tOQXvwrmsXTTZLsdJsl1iveIHGpss6cbB7U1/j2Ven2qUdX3hzVgcHcjvy1MMr0+X2yZMTsxXlM/Edc3IQgN2j2vD0R1+52J4I+NyfnZNhRPeX5bITTYJuwusEkmp1V69fXNBgT1bdubhefmtWyURMybil58/MqNH0ZFmmStWoCpfCaPPSyqLYXQe7NTZTVtAKdqUM6tR8VdWGp0IuoenFqp59ZUJBGPUd/vKlCZ08VNBw350nuk3OVVSsOPrW+Xk1HV+eH+gbb0zrwECGagDYF/73X5zX2ExZDcdTw/E1s1SVQkOutzaBY6McL9RypSHbNnVxoqhqw1GlVSL7pbdm9eq5OYWtUfyffu2SHjo50E7ckqI2YXKusmZD0Hp/9fK4xmaizQWXp0v66quTeuKRaxO9xmYq7f7gzEJtTVu01YIg1PmJYrutOze+rHefHtyW1wYk6Q+/el6O47c2EXr6X18+r+989JAkXy+cmY42Bkmq1h0tt3K2wlB641K0OBiG0lKptbnHNiVTml2stTcULJbqevbVSfUXMmo6vl56c0ZeGEpGNH52fF8x01IQhJpZqiqTSsgwQo3PVlRtuDIMU5WGq4lz1eikOklvjZVlt8bYC6Wa5ovR5lJJmlqoyzQtmaapi5NFTf1pRacO9kjy9fbYkt5337BqDU/FiqPn3phRGEaVL3/rqTf1QGtD4BsXF3V4ON/+eKiQ1lguoabrK52wdHGiqHjMkuP4euvyoiRDYShdHF9WtenLkiE/DPTK24sa7I3aqEtTJXVnE+2qAedaJ8RK0QaW00d6NL9cV08+rjcuLmrlYOrz48sq5BMyjWjjzIWJYnvT0vnxZT10cuC2/+aXpkvtseUrb89qeqEaJeW6vt64sKB3nbr957xVQRi2q7XEWxVdVozPlqMT0xX9bOcnikolbDUdX19/bVrf+/ixLYtrP7kwUdRzr09pbLas2eWbJ3BIUrXhq96qwLc+obvWOsRkvXKr6k37OZquutMx1ZqeHC+UaUm1pqeZhbrGZso6e2VJf/HimOpNXw0nmnvLpmK6PBUlLSVilqYXa+3NxIZhqOl4+sO/vKAPveuQMqmYzo8v6+HrvH+ffu5S+/uePzOtYwfyOjzUpUI+qUTcUhCGclqHy3RlE6rVPY322zpxoPtWfqXAvnDiQLeuTJflBYGGezM3PfW51nD19demdObSojw/VNOt6otfv6Tjo11arjTb1bwWiw1lU1GywOo54Jht6tG7h3RxqqjzY8tyHF+VhqdS1dFLZ2eVyybU151qf4/nBbo8VVIibrXnDrLJmGIxS66/UgHM08xiTbWGq5G+jP7ypXE1nEAx29Kbl5flh9L9x/sUBKHSKVsjfVktlhqanKvohTdnNTlf0XKpKdMy1HB9LSxHVQNnl+oyDKne8BUqUBiGClp9pkIuobnluuK2Kds2NTZdkWVHJ43XHb+1KcBQEEabBA4MZJVMWKo1PJmGoZnFaOOrjFCVmivPjyoZ1RqewjCU4fmqNVx5QShThkJJFTdqf20r1OR8RZZpKJmItZNMvv7aVHtN4A++fEF//QPHdd+xHr3y9ryarqu4bapYbqhUacrzfNmWqVjM0te+NaW7DhbUnfeiBJRAajqu3ri0KEVdOz37yqTuOd6rS1MlVWquyjVHCdtSPpNQdy7qv8wu1bTQWidaLjc1PltWtrVJ6JVzc5ponbzrtO7/H33fEX39W1PtiuavvD2vAwO5a8Zrl6ZKujC5LNcNVGtEaydd2eENVWwC3kncNvWhdx/UK2/PyjRM3XusEB3MoCgx+c+fH9PrF6KqEk2nrj/9xhX9zQ+fuuZ5/uz5y63r3NHMQk2zSzXFY5Z6u5J6/cKCilVH6YStKzMlOY6n516fkR8EMkxDjuvLNCSrtXG8UosSPXzPV7uQUSjVm74sy5ChUIYRrSlahqHQDGXK1MrAo1R3FLcsXZwuS0F0KMbKkzQUqFz3ZLcO5QyCUKZpqum6UmgqVCjfD1VvukrGbc0tVZWIWfrWhTlVG4ES8eiwuNfPz0uGoUwqpoViQ888P6ZcJqHxmbIarTgVRNX7EjFbtborGWoleFWVzyZ0bnxZ7zo1sKaSjyQ9++qEXr+wKNMwZRi+ZhYb+vaHD2h2qdauhnh5qqSvvTZ5SwcAnR8vyvOj8dq58WW96/TgTStNd9K58aIutTa/zjl1vXx2Tu+9b/i2n6fWcNe8ly9OFjXcl9H0QkWOF2ikP9vuA5yfKOr/fPWi5pbrav2qVG/6Cg1DY7PR/blcc6Uwug/XVx3YGoa6pXGIFD2u0bw6J2mGoZyaq2RMisVslWqu6q6vRsOTZVsqV5c1OV/VkeEuPfvKlPwwml30g0CGzCj+MFTcMnVkODpU4NJUUefGliVJ46WGphcquu94v8aW62q6vhaW66rWPAVhqGrDU3cmKcs0FSi87vtRkp5/Y1rTC1XNLzc0v9xQEASaXYoq7y06vp5/Y1pPPHLo9v5AwC5Rrzv6s29cbl/nf/zsxTVJHE997VK7zRqbKeuXf//l9v6aV87Na3y20n7s22MlGZIs05Av6S9fnlRfd1ph63r8P1+5EN3fwlCLxYaK1WZ7X2AYBPryi+OKxaK+7/985qwMK6pG5fnSr/2f19YkcfzZN6L7siS9eXlJE3PV9kERX399SlPzVdmtw2hfv7CoJ997WC+9NauuTEIfeGS0vRdqqdTU1741Hc37hVKx6qh6fkFhq624MltqzwkGYai3xpZ0//E+NR2rfbBrptU/nl+u64U3Z+W60dztxFxFl6eD9u/2xbMzml9utPrmvv7Xn19QLLYyR1rTZ79wRk+8O2prZhZrqjfd1h6jUPG4pbuPFnT2ypIs09TxA11rxmRXpku66wbVEM+PL8tt/RyvXVjQ5amSTMNQ0/H17Lem9P0fuHpAztfemFWlHrWji6WmXnhrVh97X7SOGwShzo0vt9dHFkp1FbKJdgXmUtXVQjEaP07MVfWllyb0Pe/fmkNoVs/Xnh9fVtepgVuumPX6hcVoDS2M9vLML9fbe9t2sq+/Nq0LE0VJW//73Sp/+NVzmlmuSaHkBaH+6NlL+tvffW+nw7otf/LNVzsdwpb4r0+9pR/8ztOdDuO2TMxWojmOKF9YFyYqN/2evWrXJnFMTU1pYGBAdivT0jAMDQ8Pa2pqak0Sx9TUlEZGrpZZGR0d1eTk5B2/ruu6OnPmzE0fN73kqFj1VWn4qld9mabkOZ4Wl2uq1z1ZllSJRZN7zdKM6o60UrRycrGpZjM6AcH1Q5UqvsbGxmTbhmaXHdWboeqNpoIgkOcFCmWo2awrbnmab9blu55ituQqkOtEA7UwuDo4MxRthq43o0m4a3aGGNf5XEt7s3SodpnOpuvK9yWFnmzTkGWq1bGLsj1sI1TMcLW8uKhmM1po8v1QYSiVK1XFLEtOraTKckNvnV3UQj6mIAh1eTLqdC0s1uT6UsySXF8aG28qk7C0NG+pUvdVrnuq1eqyLCnwLNXqxi39jYC9LDql96qme3UxN5mwr3u69Uqn/+pzXP04CEL5Xig3uDrAMYLoezw/WnxxvejUlmQiJsM0dOpwt2zbVL0ZLXLk0nF15RIKJcVilmzbUhD4MkxDXutEDtOQDMNUXyGt2cWabMuQ02qTTN3iRtcwuiekEpYkI5rMCaP2KJeOKRG31J1LaKHYlBeGCoJQhhl9nwLJDwOZgZRLJ1qxBe1BTDxuKp+JqzuXaA9og9b/+dG4UGEQRhWIArW/T9KazRKeH2p1DotpGBrpy+rEwW6Nz5bbSRxhGMr3g1Xftxlbfd+Zv24Wz7tOos1GrXlvhtEpBzuxxsX63/VW/+4B7E3NhrdmgSQMQwUKZbVuPGarbNNmNLemKfmhooW8ILrXRK8Z/c9xfcVbk5Yr96eVx0jRqXYrE4SXp0oqymk/diXxMgii06pty2o/d62xdsPY7fLXxbJyQrbrbeb2dWDncjx/TVKyYZgyWxs32+PuTbocDNOQbRnyg6BdmU+K+jl+ELaTu70wlOP611TdWN9XXK/hrBuDONdvH67tZ23f9R60+v8r/CCMNmRdZwEY2AqNpifTNGQq2lDo+VevG9cLlYyZMkxb1XqzfaDKCtMwJCO6ZqLT66PNdIvL9fbmwGar6uSKQNFpqFLU3liG2d6Et1xuaKB1Stv5uivLMGSt2iS60iYoWFcaLJS6stFzLJUbVz8dhnJXbRTxvKCd+PXK2dk1bZ2/rh1oNK/+HkzL1L3HosN4Zharml68epiO6/kq5KNTdWsNT4lYqFQi1vr5Vj1nuLbNWv16YSg9dLJPMduS4wU6e6Wo3tZJvcuVZnS4jRWdUrr6d3mnbZW/6vtcP9oom05arefc+jF+f/fVU4hXv97quPwgVLDqD+R4jH83S9P15AXhmvf/9azchgypXY3venemGz2NZUQnIwdh1EbYtq1M2pBRd9sbCFc2AkYbkqP7YsyOEnxSyWjTcdCaV7Mts/14Sa2K22H72nqnfoGzqupuEErN5tWPC/lkey7RcQPFbVO9vSkdGc5zui2wSrxV6eJWeX40H73S1kRJk9EhCdeb4wzWXb++H+r0kR6dOlLQHzjntFC6en9vuNHzrL93+3645l6STNg6NJTTSH9Gb1xY0NxyXaVqq3p2MqZcOi7TMFtJHtF4YyWOlefx/GiDVOCHCn21G70wCOW2+kxx25JlG2o0vWhuIgxlxE0N9mTkBYFM05Rlmao3XC1Xm605huhke1eBLNOQ2apWfmAwp2TMluP5ml+uRxXKwlBGqx2ODooy25sJ1JpzCVcOumv97NG6hhm9lrH69xzIXXPvDeT4vo4fKCgRs/XahXlV6q68wI/mhlZ1uVbGKSuH7jWdVrWl1gOCMJTjR4f3rR/f+Ksmmdb/rb1V93jXjZJg2h+35u3ddX/rpnttNcj17yPfD286XgQ2YrAnrY+854ikKIFCqra/VmuunXtw3OvPRTjOyvrmyuP8VsJz9HHT8ZRO2FHfuLW+FypK/krKVjxuSjKUTsbkuJ78wFI1CGX4q9pfXR23Radpm4rHbAWt9mnlv34QyDJNNV1PxnV7fa3+YKt/F7NNeb4vQ9E4JTokKLpf2FaUqFGuNtvf2JNPymhVXpCkRMyWbUWVmAP/arCWHc1BmZL8MJRlGPKCULFQCvxAfhAdJLB+ymT1fHA6GdNQb0bf/f6j+qOvXtDMQu26j3snYbi23Yrmst+pN7wzrG8X32n+62bWt5u+H8q2Td13/OphfivjUN8P1Wi9h1fmCi3LkGUYCsJACo1ofqv1fTfY7nNTlhVVnlldJTwes5VNx9V0g+g1WmvvoXH1Pu6H0b3AskzZgZRKWsqm4xodyKm/J9VOSFk9XgjDqz9jEIRyW9dvKhlV8Wu6UUWbIAha98Zr348rz7n6vtR0/DUfr35NYK9x/bXrB+66NqrRdNd87Lj+DSv9hbo6JxhVbTJktdYEaw1X6eTVuUNDUXUdKWq7m46nlXoPQSiZq67Z9eOJ9XNPjabbTuLw/VC+F8iOr7Qbvp545FA7GWtspqzl1hqmFPVxE6sq9PheoGy6dbhq05UpU7HWcwWB1N+dVn+rAu3quVkp2v+0cgCp74dqur7ymShBem6pJss0ZLfas1rTVUxXf5f1dfe9IJRGWofguV6geMzSgf5c+3e5mn+TecfV9wzX9RUGYTQRJMlbtzfMbR34rVZs9caqdle6pr0c6s20D+ubWli7gfpO73G3Yv18bRCGutWUcM+/+jeWojn33aCx7ve5lb/frbKw3JS5akB8s/fuTnTmfOOaz/3Pv/iafuA73teBaDbPtSP3nc/1wjVViIo19waP3tt29cz4+kX28B1WQ1Y/7p0ec6tisZhOnDhx08cdaXp668qyHHclyzuhN68UZZuGDKuiIAyVTcX00Mkevfv0gM6Nl6ITZ5K2PtiT1K/8t2+pXPUUCwK9575BHTzUrcNDOZWqTb1wZk6nw6TeuLgky4oWVL7rfUc1OVdV3DYluyTLMFVtRJ0W1/M1V2wqoVC1RqCYLSXjMf3kD5zU//d/vtVetOnKxBW3DS1XohKLq7tMtiGFhtSVjalS8xWzo6PA8tl4a2LAVSppqVp3NdCd0NhsPSoZ6kt3H+1WImbr4EBWoT2v8+Nl2XYg0zR0cKhbMgw9fM+g0qmYTh3qbp/U0j1Q1fRCTVaqqpmlmhK2pVChTh/tVSph6a4DXTo/WVK17qnkzEQdJNvS++4b0N13D23o7wy8k92SIHTv0V59pTQh3w/VnUvo0FDXTb9nsCetgZ6UZhej06wef3BYk/NRBu2JA13qK6R0pJnX2bElZVIxDfakNNyX0b1He/WNM9NKhYZitqHhnozuOlRQLGappyvZOr1Ksq0oE/zkoYKuTBWjE8ENQ64ftDeTJeO2LNNQNhlTYiCncs1pnR4WTU5alrR6HJVN2vL8QA03miS1DCkRk+KJmCzL1EAhrcGelMZnq/L9QF2ZhI6O5lVulZJNJS3FLEO1uicjZkSlgvNJDRTS0UDIkFJxK6p61PCUScZ17EBegz1p9RdSeu38vFzPVy4TVz4TVyZpq787rXwmIcs02pni3bnEmrL0uXRMBwazWq405Xq++ntSGuqLyrMNFNKaX67LcQOlkzH15JPR6SmKTsDZSl3ZhDKpmKp1V6ZpaLh380vG3Xe8Vy+8OSuF0uhAtr1ZZqcZ6cvq7bElhaGiBKRM4ubfBADr9HQnde+xHr1+YVGSdPpoj96+sqwwlJIxqbeQ0uJyc9Vpa7fGMqPkwZUER9uSbNvS4cG8Uglb2bSt/u5eTc5XlExYGuxJ6+SRHhUrTTUcT4V8UumkrZ789du2gZ60FkoNeV6gfCauvu6UKnVXPfmk7j3ap7fHlmSYho6M5HVkeGMnmwz2pLVUaurwUFZXpstKJWI6NJRrn3oN7HXvf2BY80t1OaVAXRlb2ZSlUtWVHwRy3FAyQsVai+gb3eubTcbU153UsZG8Th3u0XOvT8v1Ah0ayskPpLeutNqqQz0a7s0oVKjZpZqaTpTQMdiTvuHzP3bPkM6PL6vh+EonbT167/XH5cN9GZWqjoIgVOoGbdFWsC1TQ71pTbc2FYz2Z0ngwLb6oe+6S7/y+y/LD0LFLHPNSZAffuygnv7GuFw/UF93WrOLVa2s4+QztnzfUBAESidtHRrOaankyDCkR+8d1KWpsvwg1GBvWsdG8losRRW/Hr1nUC+fnVMYSv1dSY32Z1Sq+bItQ9/x7gMan60oDKX33D2gF9+eV7XhyTZNHRnKRvMBkvryCTl+INcNFLdt3XUwp7nlaM7x4bv6VG34aji+sum43nPvYPu0tnuPXS3f/eDJAY32ZzUxV4livmdQUnSgQyGX0P3HetqPXT0WOzLSJcs0tVhqyDCkD77roF47P68glO491qOZhYqKVU+2Zeg7Hz3Q3qnS05VUatWG8NGBrMZnokXIwZ50e7E6bps6ebigs5eXJEnvOtWvRMKW5wXKpmLqLyS1XI5+1gMDdzYeH+nP6NxY1P+750ifyjVXC8WGLMvQY+/QTm6WlX6W5wdKxK01CR1DvWkVW9WcB3pSChVVdZEh3bfqb4eNOTrSpaPDec0t1lSq2KpcZyNbzJLC1va9lQ3DrhfIDw3ZVuvwERnyw1Bxy1AoQ6ZCNdywvakqFZOSiZgaXiDTlwq5pIZ60mo4vmbDqpputFGwrzulo6NduudYry5MFnV2bEnppK1k3JJlGhrqy6ja8GQYUta2dPJwQWcuLsrzAqUSlt5992B7fuud5qjefXpAX35pQkEQ6sBARodHrlbxGuxJa7HUUE8+pYVivX1afGbVnBmA25dLx3T30R69dWVJ88t1pZK2Hj7Zr3wmrkTM0kIxGt/HY9F8uW2ZyqZjqtRac8B9V+eAH7l7SJcmS6o7nuKWpbsOFjTcl1EmGVvzPSP9UYWQ5fLV+0xvV0q+H2i2u6ZSxVF3NqF0KqbubEIfePiA/uKFMfn1UN3ZhI6NdKkrl1DMNtVfiO5PvfmkZrJxHRnOq1J35XieDMNQdzah4we6ZBqm/DDaoJMZyKpa8xSLmfK8QL1dCeXTceXTMY3NVJROxdTfk9L0Qk1101MsFi1y1h1PMdvSSF9GR0fySsZszS/X1XA8xeysEst11Z1oDTQZt1VteLKM6ERfyzIVs0yZZnTauWWaslr1DA0ZyqZiOjKY13LNUX8hrXjc1nvuHdSbl5YlSQ/d1a/+7rTiVlPlWlNHR7r09ljUB0nEbSkM5PlRgvlof0bpZEy5dEw9XUndf1e/LkwUNViI5mvSCVv3HuvVSF9G88t11ZsVpRKW+gqpdqKvJPV1pzS3FJ1sbtum7j7aq6lWVbDjB7pkWYbmWtVN7jseJdHed6xXX399Wgqj/sJA4dr5+5H+rKbmo7XbdMLWgYHsmr4XsJUyqZi6cwktl5syDOnbHhjRcrmpxVJDtmXoPfeNXPf73nPfkCbno2slEbN0z9GCxmerSsQt9XWndP/xPo3PVdTblZTjBjp+oEvjcxV5fqhkzJJhGErEomoaB/rTmlqoKxEzNLsU9e1dN1A6aSoIDHVlE3KcQAM9aRUrTRWyKS1Vo/8uVxzlM0mVq64yyZSWSk0lYma0mTWMDupJJ2MyWwm4lhltkkvGYqo0fJkyVHd8ZVOWLMvQ0eEuJWKWjp/q17fOLSoeM5WIW/rr335CX/irC2p6gTJpWx99z2F95ZVJ9XantLBcVyYdkyFDA90JLVc8xeOmTMNQf3e6dSCerZG+zNXk/lXee8+gvvnGtJbKTntsKUmP3D1wS/NCq0VtXrZ9cN5gb/qaQ0V2muOj3To/vqxKzZVtm2vGvrcjm4qpKxtXsRKN7UdbY87z49H4sSsbV661QXV0IKsPPDSqsdmoUpcZhMqnE8pn40rGTSmM7lsN12tt4PbkuL781gbq1Uk9N2IaUl9XSg3Hjdb3JdkxS13ZpFJJW4MpO6qMOVlUzLaUSdkaah0OcXgor2KlqYVidF/JJGMa6cuosG6fwpGhnN66vKhixVE2HWuPKwr5hAq5hJpOqMvTJUmhBntjSsaja/6d3o9SdO9aLDVUqbuKWZbuOlDQ9FK1XXXmTv9GwG6Qz8Z1+nBBb67MbZ1eWzHzOx45qLNjy6o1PCXjlr7n247qmW+OyQ+iOTnXdTWzFM3lpZOWsql4u5Lfgyd6VXcClaqObNPQ937bEX315Sk5fqB0wtYD7x7VV1+ZUthKIOzJx3V+IqowdOpQXvMlN6rcZ0jvXXd/Xrkvu16grmxC7713UK9djKrOnRjtVn93Sm+1fqZ3r9v/N9AT7adxW1UFP/zYQf2fr1yUH4TqysT1wIkePf/mvCTpgRN9Wiw223OS779/SLlMXOWqI8sy9J57h7W4au7sAw+P6i9eGFMQSqMDGfV19ei1C1EcH3x4RC+8NaeZxbpMQ/roew/r+TdnVat7ilumvufxozINo73ucWgwqyutU+YHe9Ltvrck3XWooGKled0x2fWM9mfbVdBPHCzIMk1NzFUkQ7pnXRv3He8+oMtTpXYf4AMPX60WZbVea6UKyL3HenXm0mJ7TPCRxw7rK69OqlpzlbAtPXbP1s1dvtN87a147N5Bfembrb9TfzS22w0euXtAZy4vbcvvd6t88mN36S9fnmgnLT163+6rdP8vfuxD+r7/1+fXfG63J3BI0r/8v91+ZbhO+75vP6rf/KM3FQSB4nFT//ePXltRcb8wwo1mNXTIwsKCPvKRj+i5556TbdsKw1CPP/64Pve5z62pxPFrv/ZrmpiY0Kc//WlJ0pe//GX92q/9mn77t3/7tl/zW9/6liTp/vvvv6XHRydK+a0T6qMF0lLVUTJuq1xzZJmmBlqbIFwvkOv5SsZtmaahWs3VuYklDfVklc3EZFtmO7mhUnPUcDw5nqfxmYpOHexVLG62nz+dtFWsRM9vWtGJNEEQaHqhqp6crUtTNT18aki93UnVajV98blxjQ5k26fjFSsNLSw3ZduGXjs/r3ff36/SsqdDQxkVK56GerIamy0pl4mrO5uMyiEaUqnqaKCQVLnmKZ2Ia2KupKG+tEzDVDppyzCiE2uuTJdUrjo6cbBLpaqrvnxKoRFNUq4vjbmSLen5QTvDdfXvKQjC1uSqpZnFqpIJW307dEMw9oYXXnhB8Xj8ltuBTqo1PNUajrqzyXY2+M0EQaDFUkPJeHSiRqXmqOn60QJMEGXPu64v1w/Uk09GlYAcT6VqQ6Wqq0I2rng8pq5WyT13Xda3YUQngZSqjlzXVaXhK/ACGZYpU5LjeRooZOV4rvq6s1ooVlWsODINQwulmo6PFHRluqSx2bJOHMipkM/KMKUrUyU1nUCFQlwDXRk5nqcgMNTflVQ8ZqtcdVRpOOrrTiqdjKtcc6LsdBnyA1+lqivLNJRJR+1tMm5LMuS4nmzLlO+HqtSdVhWPZHsC0XF8zSxVlU3H5bq+DMNUb1ey3S6FYSjPD5RK2NdNPKzW3VaWeHzNpOTK7zoRs2RZpmoNV5ZlrslA3Sqr29XYLb5vblep5shtva92Mtfzo2SfdX+/3dQOANg6t9MWXJxclm1ZOjiY09nLi3p7bEnvu29EcdvSa5fmZChUIGlhua7l5ZKml3wN9iQ03Ncl1ws0v1jUbNHVgb6M7jrSJ19Swja0VKorHY8pNKThnqRSqWS0ecA0lYxbqjcd1Rq+BgsZ2bbZOuEj2t240p9+J36r/73SR681XNmWKcMwNLsYLWAeGMi2T+DZiJVxk+NFp3vu9PsDsGKz+gSzSzXNL9bU051UNhXXfKmmRsNXw/dUrbrq70ormbD1ytk5lSo1pVIxZWxbpm2p7jiSYWhitqS4HVNvIalMKq7ubELVmqPx2aqyKUsnj/QpkbDUlY6rkE9H13XTU73hqjubkGWZOje2KMOQjo50y2yVKl/pl0anO968b1ivO5ovNdSXTyrVKkN+PevnQLbbylwDp35jo+6kHZiYWdLLby/qobt6NDpY0FKpIdOMNvpML1Z0ZaqkU4f71JWN67e/8Jr6C2l99P3HdHl6WW9fXtYjp4fU3ZXUa+fn1JWN6+Bgl6bmy5pbquvEaEGJhKnJ+arymZi6sim9dXles4t1PXbPgMLQ0pXZkvryafV0J7VYrKvW9HRgIKdKxdEbl+d1aDivoZ6snn1lXA3H1xOPHtbCckMvvTWt+451a6i/W2cvR0lfJw/3qFJpaHKxppGetLLZ5Jqf55rf15lp5TJxnTzUo1LFUbHa0GAho3h8bX9i9VgsDEMtlhpKJ22lk3EtFuuqNlyN9GXkuuGan6fp+vL9oF2ZZLWGEx1ic70NhsutiiLdueQ1faB6M9rQnozfeXux+udx3UAzS1f/PlttpZ91vXnXla+ttMULxboSMat94iBu3Y3aAs8LNLdUVcPxtFBq6Nz4kkLPlx2L6cBgLqpO4fhyXF+ZTEzpuKW6G6ha8ZRM2jINabFUVyptywoNdXclVSw7UuhrbLaqTNLUqcN9sm1LF8aWlUzYGurLtA8WqdWbWq46StjRvHlXLtH+2vhsWXbMVOD7cr1QXem4XD/U/HJdgz1R/6PZcDS1VFd/IaPefHSd3eyaWCrWVXc8DfZcjaP9+2i971bmCK83ZwbsRp2eLwzDUOWqo6nFinKZhIZ7Mu1ra/29TVo9B2xes1mmWnc1v1xTNh1TPpNszxFf73uud5/x/UC1ptc6qVuyTVPJhK2FYlWzSw0N96aVTsTkBWF7/nvFymuUa46ajq9G01NPd0rZVEyuG8j1/eikcsuU33psLh2T6wXRemUYanq+omTcUiGf1PxSTcVKUz1dSfmBNLtUUSIW04GBnJIJWzHbUq3htk8cD8JAtUb0M4ZBNFfjeoGWq035nq/hvqw839fUXE1eEOj0oYLeHluWYUjHRwvygugU4KbjKZuOKxm3dXmqqCAMdXSku/3zmaYhzwtUqjZVrjtKx21151KanCvLtE0N92TkB9Hawsp4beXvWK27SiRs5Vv3a9fzVWtESa2pROya8dX6tQanVV0lnYxdsx60YmUduiefbI8N13NcX9WGq7htKnODsd9+0ul2YD8Jw1D1ptfeP7GyVteVSSqffef3Y6XuaKnUUE8uJcOM1kQbjt9+r6+MJ0zTUBhKs4vRBsd4zJJlmnI8X/FYlOxgm9LsckO2bWhipqKBQlpN11chn1S96SmXseV5UjJmquEGSiVjqjdcpRIx1ZuuknFLDcdX4Hsq1315vq+lkqNDQ3m5nt8etwRhKNuyoqocZqi5pYbyGVuOJ+UzMdmWpWQ8JtOMTvxeKtXbczLLlYZmF2saHcgrk7TbYzDLNFSpuxroTsoPo6oejaanXDoebTxtvfaN5kwaDW/NWGzFrc4LXfN8Nxiv7USOF6hUabTb+tVupy1Y/16W1G6n1/eTm66vheWGzo8vqpCJKZeL5gCDcKVCh6law1PgB7JsU+PTZRlmINO0lEja8hxfS8WqinVXhwa6dWQopWdemFR3NqFcLq5SqaGDg90a6MnINKXzE0sqV109dHJA9YYnw5R68inVG64qjaaKZVdHRwsyjFBLpYb6ChnVa67mSzVZhqlkMkqYut4+Bc8LtFxpKJ2Mt66FaO7RMKJ9B7WmK4VRQlPYqu5xszm8WsNTtd5UImYrmbBlGkbrNaK5BGA7daJPMDVfWbMHcbX1c3ezCzVNL1Z0YrSgdDqm//Plc6o1Xf3Nj9wtSfri1y6qpyuhR+8ZWbN3caA3rfliTZOzFR0dLSiXjq2Zd0wkEnrhzLSkKPGi0Wjoq69Ma6gvrfuOD1wbV+u+vDI3uHpv0s1+pvYYp9XHvTJd1PRCVfcc7lM2G9f58WW5nq/TR6IEh9VzkqvboHTr0NjVY5rVc4+WZWm6VZ1iqDcr13V15tKSCvmEDg52qVxzdXFiSSMDWfV1pa9Z91g/V7l6nvFGY7LrWX+vXCjWFYtZ7XHBauv7ANc816r1kfVjgrrja36pqkI+Wq/aShu5/6//O+0079QObOfvd6us3mv82L3XT6DeDT7eSuT43//u+zscyZ37f3zm85orRQkcjz32WKfDuSMr614re9n3mlvNN9i1SRyS9CM/8iP6+Mc/rk984hP6kz/5E/3Gb/yG/tt/+29rHjM2NqYf/uEf1h/8wR+ot7dXP/7jP64PfvCD+uEf/uHbfr3bTeIAsPcwCQuAdgCARFsAgHYAAO0AgAhtAQDaAQC0AwAk2gIAtAMAaAcARG4132Bn1yK8ic985jP63Oc+pyeffFK/+qu/ql/4hV+QJP3sz/6snnnmGUnSwYMH9Q//4T/UD//wD+u7vuu71Nvbqx/8wR/sZNgAAAAAAAAAAAAAAAAAAAAAAGAf2tWVOLbbCy+80OkQAAAAAAAAAAAAAAAAAAAAAADADvXud7/7hl+3tymOPSUej3c6BAAd4jiOJNoBYD+jHQAg0RYAoB0AQDsAIEJbAIB2AADtAACJtgAA7QAA2gEAkZW24GZI4rgNKw3r/fff3+FIAHTKCy+8oHg8TjsA7GO0AwAk2gIAtAMAaAcARGgLANAOAKAdACDRFgCgHQBAOwAg8q1vfeuWHmducRwAAAAAAAAAAAAAAAAAAAAAAAAQSRwAAAAAAAAAAAAAAAAAAAAAAADbwu50AMBeMbNYU7HSVDYd00hfttPhYI/y/EDjsxW5nq/BnozymXinQwKAHWF6oapS1VEuHddwX6bT4QAAsCUWinUtFBtKJWyN9mdlmkanQwKwRap1V1PzVVmWodH+rOIxq9MhAdgmi6WG5pfr3O8BANgEs0s1LZebyqZiGu7LyDC4r+40rH0COx9rcMDuxfULAGvVm54m5iqSpAMDWSXjbKFHZ/EOBG5REAQyzesXr1ko1nV5qiRJWi43ZZmmBnvS2xke9okLE0Utl5uSpGLF0QMn+nb8Ro4gCCTpHa8fALgTq+/LC8W6rkyXJbXuw5ahgQL3YQDA3lKuOTo/XpSk9pjg4GCukyFtixuNxYG9yvcDvXl5Ub4fSooWFe452tvhqIDro53eXJW6q3Pjy1IY3e+DMNThoXynw9pWvKcAAJtlqdzQpcmr67eGYWzK5kXuVZvrTtY++RsA22d+eXPW4Lhuga3zTtfXZl2/ALBXhGGoty4vynGjvYzVuqsH7+rvcFR3jv7V3kASB3ALvvnGtN66sqS4ZenbHx7R8LpKG7WGt+bjenPtx8BmWf3eCoJQDcff0Ukc58aW9M0zM5Kkd50c1KkjhQ5HBGC387xAf/HimKYXaspl4vrORw5yHwYA7Av1fXa/m16o6i9fnpDj+rrrQLfec99wp0MCto3jBe0EDmnvX+/YnYIg0FdentDYTEXpVEwfetcBFfLJToe16zWannT18t9X1//8ck1ffnFcdcfXkaG8Hn9otNMhAQB2uc0eR6+5Vw3n9fiD3Ks2w+q/UxCEaro3Xvv8xhvTOntlSfGYpQ88NKqhXk4VB7bS+rbzTtrSr748oUvTJaXilr7j3QfV25XarPCAfe/1Cwt6+eysTNPQe+4d1rHRrvbXNuP6BYC9xA/CdgKHJDUdX0EQ7rpKyFPzFX3llUk5rq+Thwp67J6hToeEDSANB7iJhWJdb11ekkLJ8Xx9442Zax5TyCfVrr5rSIVcYnuDxL7Rs2oxPBG3lEnu3Fy8IAj03OvT8v1Qvh/q+Ten5XnBzb8RAG7g7fElTS/UJEnlqqOX355TIZdYdx9m4xAAYO/JZ+OyrKuTiD17fKPs82dm5Di+FEpvjy1rbqnW6ZCAbZOIWcqkYu2P9/r1jt3p8nRZYzNR2fla3dULb852OKK9IZ+Jy7auLtvsp+v/hTdnVW9G9/5LUyWNzZQ7HRIAYJfrziWubsYxpEJ+Y+u3a+5VkyWNc6/aFD1da9c+08nYOz52frmmsyvr9o6vb74xvR0hAvvaRtfgxmbKujRVkkKp3vT1wpvX7rcBcGcajqeXzs4qDCXfD/WNdffF1devwRo6AMi2TOWz8fbHa8aMu8g33ri6hnr28pLml1lD3c127u5fYIcIw/CGH0tSNhXTvcd6Va65yqZiaxbagc10cDCnbCom1wtUyCdlWTs3Fy8I1hwcqFASKRwANipY35CEUjYd5z4MANjzknFb9x7rVaniKJmwlc/Eb/5Nu5gfhDf8GNjLTNPQ6cMFLZQaskxjX23ixu5x7RQp7fRmiMcs3Xu8V8VyU4m4pa7s/jksaP17KuDeDwDYoHQyWr8tVR1lkray6Y2No9fPTXOn2hzttU8/UE8+KesGm6j8dX8DugvA1tvoGtz6fv0163wANmbVJbZ+Pxtr6ABwrZMHC1ooNmQYu/gAnXXjoOtsZ8YusnN3/wI7RF93ul1uzrIMPXxy4LqPSydjGuxJ0+nFlivkkxroSStm7+wm3LbN6HoxJBnSg3f1K77DYwaw8911qNA+mSudsHXf8d7o39yHAQD7QDJua6AnvecTOCTp3acG2pVHjgznNdSb6XBEwPayLFMDhbR6u1IyjN13EhT2viPDOQ31piVJ8bilB+/q73BEe0ciZmmgJ72vEjgk6aGT/YrbliRppD+jg4PZDkcEANgLUglbgz3pDSdwSNLDp/plt9a5RvuzGu1nnLpZCvmkBgrpNRXJrmewJ60jw3lJ0br9u05df90ewObayBrcwcGsRlrtZdy29DDXLbBpVg5+kqJKG+86OXjNY1hDB4C1TNNQfyGlvu7UrqzCIUnvOr1qDXUkr/5CusMRYSOoxAHcgvc/MKJ3nR6QbZrtyTkAN3fvsV7ddSBKgorHueUA2Li4beq7339UtYanZNyUaXJfxt7muL6k6EReANhPDgzm9DeeOCkvCJRkLAEAO45pmvquxw6r1vAUt5kzxcYN9Wb0iQ+dkOMFSie59wMAdp6h3ox+8EN3ca/qsMcfGtUj9wyybg/sEqZp6olHDjF2BLbIw6cGdO/RHsk0OVQVAPaJg6yh7in8BYFbRIMH3BmSNwBsBRbJsB+8+NasfuE3nlMmFdP/5//57Rru43Q/APuLbZuyKSILADsaYzNsJptNXQCAHY571c7Auj2w+zB2BLYOe3IAYP9hDXXv4K8IAAAAADtMGIb6L3/4uhwv0FK5qd/70zc7HRIAAAAAAAAAAAAAAACATUASBwAAAADsMFdmyro0VWp//FevTslx/Q5GBAAAAAAAAAAAAAAAAGAzkMQBAAAAADvMGxcXJUkPnOhTTz4px/X12oWFDkcFAAAAAAAAAAAAAAAAYKNI4gAAAACAHebNS1ESx91He/TAiT5J0ttXljoZEgAAAAAAAAAAAAAAAIBNQBIHAAAAAOwwb12OkjhOH+7RsdEuSdL5iWInQwIAAAAAAAAAAAAAAACwCexOBwAAAAAAuMr1fE3OVyVJx0e7FLOj3PsLJHEAAAAAAAAAAAAAAAAAux5JHAAAAACwg0zNVxWGUjppqzuXkN1K4phZrKlad5VJxTocIQAAAAAAAAAAAAAAAIA7ZXY6AAAAAADAVRNzURWOkb6MDMNQLh1XTz4hSZqcr3QyNAAAAAAAAAAAAAAAAAAbRBIHAAAAAOwgk3NRosZIf7b9ueG+6N9T89WOxAQAAAAAAAAAAAAAAABgc5DEAQAAAAA7yEQriWN0VRLHUG9aEkkcAAAAAAAAAAAAAAAAwG5HEgcAAAAA7CBzy3VJ0kAh3f7ccF9GkjRJEgcAAAAAAAAAAAAAAACwq5HEAQAAAAA7yEIxSuLo6062PzfSG1XloBIHAAAAAAAAAAAAAAAAsLuRxAEAAAAAO8hCsSFJ6u1KtT832BtV5ZhZrHUkJgAAAAAAAAAAAAAAAACbgyQOAAAAANghag1XtYYnSertulqJo687SuhYLjfk+0FHYgMAAAAAAAAAAAAAAACwcSRxAAAAAMAOsVKFI520lU7G2p/vyiZkmYaCUFoqNzsVHgAAAAAAAAAAAAAAAIANIokDAAAAAHaIhWJd0toqHJJkmYZ6Wp+bX65ve1wAAAAAAAAAAAAAAAAANseeSOL4+Z//eT3xxBM6deqUzp49e83X//f//t86deqU/vzP/7wD0QEAAADArVmpxNHblbrma32tz80XSeIAAAAAAAAAAAAAAAAAdqs9kcTx5JNP6nd/93c1Ojp6zdemp6f1uc99Tg899ND2BwYAAAAAt+FqEkfymq/1dbeSOJYb2xoTAAAAAAAAAAAAAAAAgM1jdzqAzfDoo4++49f+5b/8l/qZn/kZ/dIv/dKmvFYYhqrVapvyXAAAAACw2kqVjb7rVOJYSexYoBIHAAAAAAAAAAAAAAAAsGvtiSSOd/K7v/u7OnHihB588MFNe07XdXXmzJlNe753Mld0Var5ituGhnvisi1jy18TwO7UcDydHy/KcX0N9qQ10p/tdEgAgH3ED0JdmFhWpeYqn4nr6EiXTJO+651aLjclSYX8jSpxkMQB7HdjM2XNL9eVjNs6fqBL8ZjV6ZAA4I5NL1Q1NV9VzDZ1/EC3Uok9PWUNYJ0r0yUtFBtKJaJ+TcymXwNgd2g4ni5MFNV0WJsBcJUfhLo4UVS55iiXiesY8+XYIsVKU5emSpKkI8N5dWUTHY4IALbGxFxFs4s1JeKWjh/oVoL1EAD7XK3h6sJEUa4XaKQ/q8GedKdDwgbs2RWxsbEx/ff//t/1e7/3e5v6vLFYTCdOnNjU51yvWHFUM4rKdEcfZ/MJHR3Jb+lrIlKpO6rWPfXmk7Jts9PhYAfajiSu23V5qqRq3ZUkjc9WlM8mlE3FtjWGUs1Rre6qryvFtQNgz3McT4vlpvKZhNLJPdudvmXTC1UtlaLEg4ViQ5lUTEO9mQ5HtXutJHF0X2fBZaU6B0kcwP5WrDQ1NV+VJLmeoyvTZZ042N3ZoDZJw/G0XG6qO5dQMs49FtgPag1XV6bLkiTXC3Rxsqh7jvZ2OKq9o9bwVKo21ZNLKE67ig6ZX67JMAz1Xqfa4FK5oemFqPK56zkam6no2GjXdocIAHfkynRZldqqtZlMXNl0vMNRQZIqNUeVuquerpTirFntCXNLNdmWed2Db3aamYWqFksNSdJisaEs8+XYAmEY6u2xZQVBKEl6e2xZ7z49IMPYOQlDnhdovlhXKmGTYAJsUK3hqFTdn32bcs3RxGxFUjR3eHmqpJOHCh2OCsBuN78czUf2de/O5IeLkyXVGp6kaN9oPhPncKxdbM/+5V5++WXNzs7qu7/7uyVJc3Nz+tmf/Vn91E/9lH7oh37ojp/XMAyl01t78dYcQ4nE1UGMHYtv+WsiatC++sqUwlDqysb15PuO7rvOL3Ynzw/XfuwF2/r6FyeLevbVSYWhVMgl9OH3HuHaAbBnVWqO/vTrl1VrerJtU9/5yEH1F/Z3P83zgxt+jNtTqkZJHPnstYv+vV3RIuViK9EDwP50Tbsb7I12d7nc0J9+44ocx1c8bukjjx1Sd27nb84AsDF+sG5Og77kpplfrunPvjkmzwuUSlh68r1H2FiKbffsq5O6MFGUJJ06XNCj9wyt+bq/fl6TNgDALrK+zXJpw3aE8ZmyvvLKhHw/VC4T18fee5hk1l3uL18abyd+33usVw+fGuhwRDd2Tduwzeu22B+CUO0EDin6dxBK1g7J4fC8QE9/44oWinXJkN5775BOHGTTNXAnpuYr+osXx+X7odKpmD763iP76pDB9fuf1s8jAMDt+tqrkzrfmq88ebigx9bNV+4GfrC+bWTMsZvt2V223/d936e/+qu/0pe+9CV96Utf0kMPPaRf+IVf2FACx3Yp5K6e6myahob7KL+7Hc5cWlTY6usVK47GZ8qdDQi4RSN9Ga0cqpFLx5XPbO+C/OprZ6nc1OQc1w6Avev8RFG1ZpTR7nmBzlxa7HBEnTdYSLerMMVj5r5PatmoYsWRdP1KHN256HPL5abCkElKYL/qziWVaVXeM01Dw3vkNMezY8tyHF+S5Di+3rq81OGIAGyHbCqmrpXkVUMa7WcedLO8eXmpvdBdb/o6N77c2YCw7zQcr53AIUlvXVlSsG6BsZBLKLVmLWRv9GsA7A/Dq9ZmsumYujKcMr4TvHFpob25r1x1dIX13l2tUnPaCRyS9MbFhQ5Gc2sGCmnFWvPlMdvUQA/z5dh81rq+83BfRpa5QzI4FFVwXyi2KoqH0usXWUsD7tSbl5bafZta3dWlqeJNvmNv6comlE1H6yGGIeYNAGyI43jtBA5JOntladsPy94Mo/1ZqdX1684l2uvG2J32RGrmZz7zGT3zzDOan5/Xj/7ojyqdTuvpp5/udFh3zLJM3XO0V/Wmp3jMVMy2Oh3SvpCIWzf8GNipCvmkHryrX64XKJ20t71ManxdG5XkRCMAe9j6EoRJShIqmbD1wIk+NR1fybgly9qzeeJbzvMDVequJF03KXMlscNxfdWbntJJBuPAfmSZhu4+0rPn5gxS68bg3GOB/cEwDJ08VFC96cm2TMVje6NN2wkS636XqTh9R2wv2zRlWUZ7s0ncsmSaa8eLlmXq3vZaiNXe8AgAu0Ehd3VtJpWwZe6gzbP72fo1qgRrVrta3DZlGGofJpfcBev3K/PlDebLscUODubU152SdO3aVaclE+v3D+z8axfYqdZfP/ttP45pGjp9eO+thwDoDPM685X2LpyP7O1KKZuOy/ej+Yjt3iuKzbUn7uyf/vSn9elPf/qGj/nt3/7tbYpmc5imQYbUNnvPvYP6iuurWnN1dLSLk/+wq8RjVsc2Orz3viF99ZVJ1equjh/s1tAeOQkYAK7nxIEuLSzXNTVfVXc+oYdO9HU6pB3BtkzZqd03uN1pStWoCodpRNW11ksmbCXjlhqOr+VKkyQOYB/bi3MGdx/p1VK5qfmlunq7k7r3aG+nQwKwTQzDoF+zBR48OaBKzdVSqaGhvozuOtTV6ZCwz9i2qccfHNWLb85KhvTYPYPXfdxe7NcA2D86uTaD63vk7iE1HE+VqqtDwzkdHMx1OiRsQDxu6/0PjOiVt+dkGIbec+9Qp0O6JZZlKsN8ObbBTkveWNHXndaDJ/v19tiyUnFb771vuNMhAbvWw6cHVG14KlWaGh3I6tjo/pvfYd4AwGZZP1/5yN3Xn6/cDRIxS2I+Yk/YmT16oAPSybiefO+RTocB7DrZdFwffd+RTocBANvCNE2974GRToeBPapYaUqS8pnEO57e2J1LaHqhpuVyUyN9JB0D2Dts29QHHj7Q6TAAYM+I26Y+9MjBToeBfe7gIJtnAQDbK5209ZH3HOl0GNhER0e6dHRk/21YBXa7+4/36f7jHIQGbFQybuu7HjvU6TAAYM9gvhI7Den/AAAAALADtJM4stdW4VjRnU1IkpbLzW2JCQAAAAAAAAAAAAAAAMDmohLHLhOGoWaX6nJcX/3dKSV3aHlEAFvLcX3NLtVkmaYGe9LveFo3AGwlPwg1s1hVEIQa7EkrZlOqD9iIYsWRdDVR43q6c60kjgpJHMB+03A8zS3VFbNNDRQYAwAAsJ3KNUfL5abSSVu9XalOh4NdqtH0NLdcVzxmaaCQkmHQnwP2MtZ0gb2j6fqaW6rJtpiTwe7CfCKA3SAIQs0u1eR6gQZ60krE2HMAADeyut3sL6SUjDPfsJvx19tlLk+XNbtYkyTNLdV1/4k+xWwKqgD7iR+EOnNxUU3XlyRV6o7uOljocFQA9qNzY0vtTeeLpYbuO9bHBDCwAcVqqxJH5gaVOHJJSVTiAPYbzw905uKiXC+QJNWbno6OdHU4KgAA9odK3dWZS4tSGH3sB6EGCunOBoVdx/V8vXFxUZ4f9ecaTU+Hh/MdjgrAVmJNF9gbonXZBTludA+v1FydONjd2aCAW+Cvm0+s1l0dP9Dd2aAA4DouTha1UGxIkuaX63rgRJ8si34zALyTy9MlzS3VJUlzrXbTpt3ctfjL7TKl6tXNWp4fqNZwOxgNgE5oOl47gUOSSlWng9EA2M9Wtz+Npi/H82/waAA3c0uVOFpfI4kD2F8aTa+94CpJpQpjAAAAtku56rQTOCTm4nBnag2vncAh8T4C9gPWdIG9oel47QQOiXs4do+646+dT+S9C2CHWt0+uV6ghsOeAwC4kdXrxJ4XqN70OhgNNookjl0ml756Kq9lGUonKaYC7DeJuL3mtKbV7QIAbKfV7U8ibiluU9oU2IhipVWJ40ZJHLlWEkeFJA5gP0km7DUnqGTTsQ5GAwDA/pJNx6RVRSeZi8OdSCdtWdbVNxL9OWDvY00X2BsSMWvNuiz3cOwWybgle/WeghtUAAeATlrdb7ZtU4k4ew4A4EZW9+tsy1QyznzDbsZfb5c5PJRXIm7J9QL1d6cUY7MksO9YpqG7j/ZoZrEm2zI11JvpdEgA9qm7DnZraqGqIAg11JuRaRo3/yYA76hci05MyN9gMaWdxEElDmBfsS1Tdx/t0exSTTHb1FAPYwAAALZLLh3XqUMFLZebSidj6i+kOh0SdqGYbenuIz2aW64rblsa7El3OiQAW+zwUF7JuC3H81nTBXYxyzJ195EezSzVFLNMDbIui13Ctkzds+q9y54CADvV0dEupZO2XD/QYCG95kArAMC1jgznlUxEe8gHCuk1SefYfUji2GVM09BIX7bTYQDosGTc1uGhfKfDALDPWZapAwO5TocB7BmVmitJyqbe+TS37ixJHMB+lUowBgAAoFO6sgl13aBiHnAr0smYDg9xejewX5imoeE+NswCe0GSORnsUrx3AewGlmlopJ+9kABwq9hDvreQggMAAAAAO8BKEsfqssHrFVYqcVQa2xITAAAAAAAAAAAAAAAAgM1FEgcAAAAA7ADluiNJyqZvUImjlcRRb/pqON62xAUAAAAAAAAAAAAAAABg85DEsYv5fqB601MQhJ0OBcAOEgSh6k1Pvh90OhQAuCVeq08ThvRpsL9ValESx40qcaQStmwrGsaVqs62xAVg+/krfXrG+8C+1nA8uZ7f6TAAYNdoOJ4cl3YTwI0xFwngRhyXw3OwdzWanlyPPQQAsBnYm4X9KAxD+hPAJrM7HQDuTK3h6s1LS/L8QKmkrXuO9MiyyMkB9jvfD/TGpUXVG55sy9TpIwWlk+98mjcAdFqp6ujslSUFQahcOq5ThwsyTaPTYQHbLtpAEG02ulElDsMwlM/EtVhqqFR1NFBIb1eIALZJ0/V15uKCHDdQImbp7qM9isesTocFYJtdnCxqbqkuGdKR4Tz3fAC4icvTJc0s1CRDOjyU12AP7SaAazEXCeBGphequjJdliQN9aZ1aCjf4YiAzRGGod4eW9ZyuSnDkE4c7FYhl+x0WACwa7leoDOXFtRo+rJtU3cf6VEqwTZc7G30J4Ctwa7/XWpyviqvlclZb3haKDY6HBGAnWCh2FC9EZ0O4/mBJuerHY4IAG5scr7SripWrjlarjQ7HBHQGZWaK0kyDN00ATOfiSp1UIkD2JtmFqpy3Gi833R9zSzWOhwRgO3WcLwogUOSQml8ptLZgABgh3NcP0rgkKRQGpspdzYgADsWc5EAbmR1H2J6ocYJw9gzKnVXy+XonheG0vgs8wwAsBHzy3U1WofzeV6g6QX2ZmHvK9fW9icm6E8Am4Ikjl3KWncqjGVxSgyAa9uC9W0FAOw01/RpaLewT5VrUUJGJhm76XWwksRRJokD2JPWV9m0qboJ7DuWaUjGuo8BAO/IpN0EcItMg7lIAO/MMq/OwRiGRBOBvYK1OADYXLSr2I+ufd+zfglsBq6kXerAQFa5dFyWZaivO6WePKWJAEg9+aT6CylZlqFsOqYDA9lOhwQAN3RwMKdMKibLMjTYm1ZXNtHpkICOWKnEkUvHb/rYHJU4gD1tqCet7lxCpmmoO5fQQE+60yEB2GYx29KR4bxsy1QiZunYga5OhwQAO5ptmTo20iXbMhWPmTo2SrsJ4PoODeWUTtrMRQK4ruMHuhSPmbLtqD+x/qANYLdKJ6N9A5ZlKJWwdWQ43+mQAGBX6+tOqacrKdM0lM/ENdLP3izsfZlUTKOr+hOHh3OdDgnYE+xOB4A7E7Mt3X20p9NhANhhDMPQ0ZEuHR1hoRLA7pCM27r3WG+nwwA6rlxvVeJIx2762DxJHMCeZlmmTh4qdDoMAB02UEhroEASFwDcqr7ulPq6U50OA8AOl4zbuu94X6fDALBDdWUTeujkQKfDALbESH+WTcYAsElM09CJA92dDgPYdqP9WY3SnwA2FUcHAAAAAECHVWpRQkYudTtJHM0tjQkAAAAAAAAAAAAAAADA5iOJAwAAAAA6rFJzJUm5dPymj823HlNufQ8AAAAAAAAAAAAAAACA3YMkDgAAAADosJWEjGyaShwAAAAAAAAAAAAAAADAXkYSBwAAAAB0WKXmSJKyt1KJI5OQJJWqzpbGBAAAAAAAAAAAAAAAAGDzkcQBAAAAAB22UokjdwuVOHKZ6DFlkjgAAAAAAAAAAAAAAACAXYckDgAAAADosEq9VYkjdXuVOMIw3NK4AAAAAAAAAAAAAAAAAGwukjgAAAAAoMMqt1GJI5+JEj0cL1DT8bc0LgAAAAAAAAAAAAAAAACbiyQOAAAAAOiwcq1ViSN980ocybgl24qGcqWqs6VxAQAAAAAAAAAAAAAAANhcJHEAAAAAQIdVG1Eljkzq5pU4DMNoV+Mo1UjiAAAAAAAAAAAAAAAAAHaTPZHE8fM///N64okndOrUKZ09e7b9+Z/5mZ/Rk08+qe///u/X3/7bf1tnzpzpYJQAAAAAcH21hidJSiftW3p8O4mDShwAAAAAAAAAAAAAAADArrInkjiefPJJ/e7v/q5GR0fXfP67vuu79IUvfEGf//zn9alPfUo/9VM/1ZkAAQAAAOAduJ4v1wskSenkzStxSCRxAAAAAAAAAAAAAAAAALvVrR3zusM9+uij1/38d37nd7b//eCDD2piYkJBEMg07zx3JQxD1Wq1O/5+AAAAAFitWvfa/04lbm2IlmslcZRJ4gAAAAAAAAAAAAAAAAB2lT2RxHErfuu3fksf/OAHN5TAIUmu6+rMmTObFBUAAACA/a7WcCVFCRyWadzS91CJAwAAAAAAAAAAAAAAANid9kUSx+c//3n98R//sX73d393w88Vi8V04sSJTYgKwG5EEhcAANhs1VYSRyZ568Ozq0kczS2JCQAAAAAAAAAAAAAAAMDW2PNJHE899ZT+w3/4D/rN3/xN9fb2bvj5DMNQOp3ehMgAAAAAQKrVPUlSOhW75e/Jp6nEAQAAAAAAAAAAAAAAAOxGZqcD2EpPPfWUfuVXfkX/5b/8F42MjHQ6HAAAAAC4xtVKHLeRxNGqxFGukcQBAAAAAAAAAAAAAAAA7CZ7ohLHZz7zGT3zzDOan5/Xj/7ojyqdTuvpp5/WP/2n/1R9fX36iZ/4ifZjf/M3f1OFQqGD0QIAAADAVbVWEkc6eevDs1yGShwAAAAAAAAAAAAAAADAbrQnkjg+/elP69Of/vQ1n3/99dc7EA0AAAAA3Lpqw5N0e5U4culWJQ6SOAAAAAAAAAAAAAAAAIBdxezEizabTX3uc5/T+fPnO/HyAAAAALBj1OqtShypW0/iyK9U4qi5WxITAAAAAAAAAAAAAAAAgK3RkSSORCKhn//5n9fCwkInXh4AAAAAdoyrlThuvVDiSiUOx/XVdP0tiQsAAAAAAAAAAAAAAADA5utIEockHTx4UPPz8516eQAAAADYEWqNViWO5K1X4kgnbZmmIUmq1JwtiQsAAAAAAAAAAAAAAADA5utYEscnP/lJ/eqv/qoqlUqnQgAAAACAjqu2kjhupxKHYRjKpaOkj1KVJA4AAAAAAAAAAAAAAABgt7j1XUKb7Ny5c1paWtITTzyh9773verv75dhGGse8y/+xb/oUHQAAAAAsD1qdU+SlE7deiUOScql4ypWHJWpxAEAAAAAAAAAAAAAAADsGh1L4viv//W/tv/9p3/6p9d83TAMkjgAAAAA7HlXK3HcfhKHJJWr7qbHBAAAAAAAAAAAAAAAAGBrdCyJ48033+zUSwMAAADAjlFrJXGkkrc3PMtnoiSOEpU4AAAAAAAAAAAAAAAAgF3D7HQAAAAAALCfVRuepI1U4iCJAwAAAAAAAAAAAAAAANgtSOIArmO53NC5sSUVK81OhwLsaKWao3NjS1oo1jsdCoBN0HA8nRtf0tR8pdOhAPtKrZXEkb7NShy5ViWOMpU4gH2F8SqAzTI+U9aFiaIcL+h0KAC2Edc+AGAnqzWiOeqZxVqnQ8EO4XmBLk4WdXmq1OlQALRwXQK7R7HS1LmxJS2XG50OBQCwiSbmKjo3viTH8TodCjbo9nYJbbLPf/7z+uxnP6sLFy6o2bx288GZM2c6EBX2u+mFqp755hWFoWRZhj782CH1dac7HRaw4yyXG/qTr1+W5wUyDOkDDx/QwcFcp8MCcIccx9OffO2SKjVXkvTgXX26/0R/h6MC9j7PD+S4viQpk7rdShzR40niAPYPxqsANsvzZ6b15qUlSVJ3LqGPvveIbJvzfoC9jmsfALCT1Rqe/vjZC6o3o7myR+8e0qkjhQ5HhU575vkrmluKDpMbmy3r8QdHOxwRgC+9cEWzi1yXwE43v1zT09+4It8PZVmGnnjkkAZ7WE8AgN3upbdm9fqFBUnS65lFfez9RxVnjnfX6thf7plnntE//+f/XPfcc48ajYY+8YlP6Hu+53uUSqV0+PBh/YN/8A86FRr2uYsTRYVh9G/fD3VxktMDgOu5NFWS1zqxLwyli5PFDkcEYCNmlurtBA5JusD9D9gW1frV6y6duM1KHOlWJY6qe5NHAtgrLqwbr17itDsAd2j1fNdyuaklTuMD9gWufQDATjY5X24ncEjSBdad9r1SzWkncEji1H9gB6jUnHYCh8R1CexkFyZL8v1oQSHa/0bfCgD2gour+l/lqqOFZSpZ7mYdS+L4z//5P+vv/J2/o8985jOSpL/1t/6WfumXfklf/OIXFQSBhoaGOhUa9rlsJr7m43w60aFIgJ0tn1l7baxsJAWwO+XSMclY9zGALVdrROUtk3FLlnV7w7Ncq99KJQ5g/1h/f17fJweAW5VNXR3DW5ahTKqjBZsBbBOufQDATpZLr193Yo56v0vG7TVVw1b3ZQB0RnzddXm7FcYBbJ/1fSn29ADA3pBdNadrGFKG9n1X69gM/cWLF/WTP/mTMoxot6DvR6dq9Pf368d//Mf167/+6/rBH/zBToWHfezeoz1qND3NLzc01JumTC/wDo6NdqlcczQ5V1VPPqH7j/d1OiQAG9CdS+r994/o7JUlpRKWHr1nuNMhAftCtRFV0Ugnb3+hI98ajJeqJHEA+8W9x3rVcPz2ePXkIcarAO7Mtz80om++MaOm6+veY71KJ5nkB/YDrn0AwE422JPWY/cO6cJEUdlUTI/dM9jpkNBhcdvUd7zrgF55e06WaeqRuwc6HRKw78VtUx9690G9fHaW6xLY4e4+0qt609fMQk193Undzf43ANgTHn9wRM+9PqOm4+v0kUJ73wh2p44lcfi+r1gsJtM0lUqlNDc31/7a8PCwxsbGOhXavhSGoYoVR4YhdWX390mepmnq0XuoBAPcigfv6teDd/VvynPRDgF3plR15AeBujIJmaZx82+4gWOjXTo22rVJkQG4FbVWEsednIBLJQ5g/1kZr9YarpqOL88PZN9mFR8AkKRsOq4PPXKw02HsO54fqFx1lIhbd5TEC2xUJ679IAhVrDRl2yanfgLADrDT12JOHipwYAHWGOrNaKg30+kwttRmrvMAQRCqWG3KMk3lM1vT/x7sSevJ9x7ZkucGsLnederGiVbFSlNBGKo7m2gfxA0A2NnSybgevXtQrhcovwPH9bg9HUviOHDggGZnZyVJp0+f1he+8AV953d+pyTpi1/8ovr7N2dTMG7N+fGiFksNSVJfd4oNnAC23bnxZS2VmpKk/kJKR0doh4CbuTJd0vRCTZKUz8Z16lCByRVgl6nWPUl3VoljpQxypeYoCEIW+IB9Yn65rguTRSmUEnFL9x7rJZEDAHYBzw/0+oUFNR1fMqRjI13q6051OixgSwVBqDOXFlWtR8nrBwayGunPdjgqANjfWIsBdpaxmbKm5quSpHwmrlOHWefBnQvDUGevLLWrdw/3ZXRwMNfhqADsVJenS5pp7TXoysZ1kr0GALArTM1XNTZTliRlUjHdfaSHvSK7WMdW+d/3vvfp2WeflSR98pOf1FNPPaUPf/jD+u7v/m79/u//vv7m3/ybnQpt3/H8oJ3AIUUbQoIg7GBEAPYb1wvaiwaSNLdcVxjSDgE3M7tUb/+7VHHUdP0ORgPgTrQrcdxREkd0ilYQSrWmt6lxAdi55pbqUqur3HT89qIsAGBnK1aaUQKHJIWt9hzY42pNr53AIUmzS7UORgMAYC0G2HlW949KVUcNh3Ue3LnGurlC+t8AbmT13FSRvQYAsGus7uNV666qDfcGj8ZO17FKHP/4H/9jOU40ePjYxz4my7L0h3/4hzIMQ5/61Kf0iU98olOh7TuWaci2THl+IEmK2SaZWQC21fp2KG6bZPgDtyARt1RvRBu3TdNQjFO4gV1nZUCdTt7+0Cwes5SIW2o6vspVR9nU7SeCANh9EnFL5VXrr/GY1blgAAC3LBG3131M+429L5rjk1b2BydiHVuSAgCItRhgJ0rELNX8Ves8Nus8uHMre31WDm1NMG8I4AYSMUv1JnsNAGC3WdkjIkmGwVrxbtexGfN4PK54PN7++CMf+Yg+8pGPdCqcfc0wDJ08XND4TFkypEOUUwSwzUyTdgi4E3cd6NaVmbJ8P9ToQFYWEyvArlNrJWJl7jABI5eOq+nUVa45GlZmM0MDsEMdGsopDEM1XV993SkSuABgl8imYjoyktf8cl2JmKVDQ8x9YO+LxyzddbCgyfmKbMvU4eF8p0MCgH2NtRhg5zlxsFtXpqN1npH+jGzWebABtmXqroPdmpyryrIM2nkAN3TXQfYaAMBudGykS5enS3K9QMO9GRJ3dzmOPYKkaBHx9JGeTocBYB+jHQJuXzJh6+ShQqfDALAB1fpKJY4724SdT8c1v1xfUyIdwN5mW6aOH+judBgAgDswUEhroJDudBjAturOJdSdS3Q6DABAC2sxwM6SjLPOg83VlU2oK0v/G8DNsdcAAHanlYNzsDd0LInjk5/85Dt+zTRN5fN53XffffrBH/xB9fQwkQQAAABg72lX4kje2dAsl4mSP8o1kjgAAAAAAAAAAAAAAACA3aBjSRxhGOrSpUuam5vT6Oio+vr6NDc3p8nJSQ0MDKinp0d//ud/rs9+9rP6nd/5HR05cqRToQIAAADAlqg2okocqTtN4kjHJZHEAQAAAAAAAAAAAAAAAOwWZqde+Md//McVi8X0uc99Ts8884w+97nP6Utf+pJ+//d/X5Zl6R//43+sp556Sul0Wr/yK7/SqTABAAAAYMvU6lESRyYZu6PvbydxVN1NiwkAAAAAAAAAAAAAAADA1ulYEse///f/Xj/xEz+hBx98cM3nH3roIf3ET/yEfvmXf1kHDx7Uj/3Yj+m5557rUJQAAAAAsHVqDU+SlL7TJI4MlTgAAAAAAAAAAAAAAACA3aRjSRxnz57V8PDwdb82PDysCxcuSJKOHTumcrm8naEBAAAAwLaoNlqVOFL2HX3/1UocJHEAAAAAAAAAAAAAAAAAu0HHkjj6+vr09NNPX/drTz/9tHp7eyVJlUpF+Xz+hs/18z//83riiSd06tQpnT17tv35hYUF/diP/Zg+8pGP6Hu/93v1/PPPb94PAAAAAAAbVGslcdxpJY58Jvq+EpU4AAAAAAAAAAAAAAAAgF3hzo573QQ/9EM/pF/5lV9RuVzWxz72MfX29mphYUFPPfWU/viP/1g/9VM/JUl66aWXdOrUqRs+15NPPqlPfepT+lt/62+t+fwv/dIv6aGHHtKv//qv69VXX9U/+kf/SE8//bRsu2M/NgAAAAC0VRueJClzh0kc7UocJHEAAAAAAAAAAAAAAAAAu0LHshn+/t//+6rVavrN3/xNPfXUU5KkMAwVj8f1d//u39Xf+3t/T5L0Pd/zPfobf+Nv3PC5Hn300et+/k/+5E/0zDPPSJIeeOAB9fb26oUXXtB73vOeO447DEPVarU7/n4AAAAAkCTfD9R0fElSOnlnQ7NcppXEUSWJAwAAAAAAAAAAAAAAANgNOlqS4p/8k3+iT33qU3r55Ze1vLys7u5uPfjgg+rq6mo/5vTp03f03EtLSwqCQD09Pe3PjY6OampqakMxu66rM2fObOg5AAAAAKDW9Nr/zqQ2WonD3ZSYAAAAAAAAAAAAAAAAAGytjiZxSFI+n9cHPvCBLXluwzDWfByG4YafMxaL6cSJExt+HgC7E0lcAABgs1TrUeJFPGbJtsw7eo6VJI5605PrBYrZd/Y8AAAAAAAAAAAAAAAAALZHx5I4vvnNb970MY8++ugdP3+hUJAkLS4utqtxTE5Oanh4+I6fU4oSQ9Lp9IaeAwAAAABqjagSRyZ558OyTComw5DCUKrUHBXyyc0KDwAAAAAAAAAAAAAAAMAW6FgSx4/8yI9cUyljvY2eeP/Rj35Uv/M7v6Of/Mmf1Kuvvqr5+Xm9+93v3tBzAgAAAMBmqDaiShzpZOyOn8MyDWVTMZVrrkokcQAAAAAAAAAAAAAAAAA7XseSOH7rt37rms8tLS3pmWee0Ysvvqif+7mfu+Xn+sxnPqNnnnlG8/Pz+tEf/VGl02k9/fTT+umf/mn9s3/2z/SRj3xEsVhM//bf/lvZdsd+ZAAAAABoq9WjJI5MamNjlFw6rnLNVbnqbEZYAAAAAAAAAAAAAAAAALZQxzIaHnvsset+/sknn9TP/dzP6Stf+Yo+8IEP3NJzffrTn9anP/3paz7f19en3/iN39hQnAAAAACwFaoNT9LGKnFIUi4Tl+arKtdI4gAAAAAAAAAAAAAAAAB2OrPTAVzPhz/8YT311FOdDgMAAAAAtkyt0arEsdEkjnRcklSuuRuOCQAAAAAAAAAAAAAAAMDW2pFJHKVSSY7DKbIAAAAA9q5qK4kjndxYgcRcOkoCKVcZQwEAAAAAAAAAAAAAAAA73cZ2C23A5OTkNZ9zHEdvvfWW/t2/+3d68MEHOxAVAAAAAGyPWt2TJKU3Wokjs1KJgyQOAAAAAAAAAAAAAAAAYKfrWBLHE088IcMwrvl8GIY6evSofu7nfq4DUQEAAADA9lipxJHZYCWOfDpK4ihRiQMAAAAAAAAAAAAAAADY8TqWxPGLv/iL1yRxJBIJjY6O6v7775dpmh2KDAAAAAC2Xq3RqsSRohIHAAAAAAAAAAAAAAAAsF90LInjE5/4RKdeGgAAAAA6brMqceTSK0kc7oZjAgAAAAAAAAAAAAAAALC1dlS5i1deeUW/93u/p/Pnz3c6FAAAAADYUrV6lHSRTm6sEkc+TSUOAAAAAAAAAAAAAAAAYLfoWCWOn/3Zn5Xv+/o3/+bfSJK+8IUv6Kd/+qcVhqFisZh+67d+Sw8//HCnwgMAAACALVVteJKkzAaTOLLp6PvLVZI4AAAAAAAAAAAAAAAAgJ2uY5U4nnvuOb33ve9tf/wf/+N/1OOPP64/+IM/0MMPP6z/9J/+U6dCAwAAAIAtV2u0KnGkNpZbn8tcrcQRhuGG4wIAAAAAAAAAAAAAAACwdTpWiWN+fl4jIyOSpJmZGb399tv69Kc/rdOnT+uTn/yk/tW/+ledCg270EKxrom5iizT1NGRvNIbPM0Y2KkaTU8XJotyvUDDfRkNFNKdDgkA9ozphapmFmtKxC0dG+lSPGZ1OiTscStJHButxJFPR0kcnh+q3vToCwO4qVrD1cXJkvwg0Gh/Vr1dqU6HBOwLQRDq8nRJpaqjfCauw0N5mabR6bAAbKHV130uHdeRYa57AMD2mZqvanaJ+U7sLbNLNU3NVxWzTR0b6VIy0bEtL8CeMDFX0fxyXamEraMjXYrZHTsLGAA2HfsJAexF7B/dWzrW+7ZtW81mU5L04osvKpFI6MEHH5QkdXV1qVQqdSo07DKu5+vCRFGNpq9q3dX58eJ1H+cHoWoNV54fbHOEwOa5OFlSpeaq6fi6NFVSvend8XOFYXRNuJ6/iRECwM7h+YFqDVd+cPPKBJW6qyvTZTUdX6WKo0tT9EWxtfwgVL0Z3YM3OmGYiFvthZVyzd1wbAB2rmCTxrXnJ4qq1l01mtF4mjEBsD1mFmuaW6qr6fiaW6prdqnW6ZA2zL+NPjewH80uXb3u55frmlncuuue+W8A2J+art8+KGS1Ss3R2MzV+c7L08x3YvdrND1dmiqp6fiq1KIDKjbLO11LwF5WrDQ1MVtR0/G1XG5qbKa8ra+/WXOdAHA9juvr/ERRxYqj5XJT5yeuv58QAHabC5PFNftHGxvYP9pJK3u6gn2+vtSxYwmOHTumz3/+83r44Yf1P/7H/9C73vUuxWLR5qXp6Wn19PR0KjTsMp4fKlx1HbvXGeC5XqAzlxbUaPqyLVOnjxTIrsWu5PqrNleFuuMJjSAI9dblJZVrjkzT0IkD3erOJTYpSgDovHrT05lLi/K8QIm4pXuO9ihmv/NJc+s3r7oeE8bYWqsTMTOpjQ3LDMNQLh3XYqmhctXRYA8nLQB7ke8HeuPSouoNT6Zp6PThgrKtSjy3a/V9LgyjcXWMgyuBLbfX+pyNVp/b9QLFY6buOdrL6c7AOuuv861KnGT+GwD2p9mlWnQYTSj1dCV14kB3+2vX3oN2d98TkFr7ANbsC9icvtXsYk2XpqNrqa87pWOjXZvyvMBOt13jlevx/EBnLi6q3vRkWYZOH+5RJsUYBsDm8fxAU3NVlWuOJGl0INvhiABgc6zpw21g/2gnVeuu3ry8KN8PlUxYuudor2xrf1aE69hP/aM/+qP6whe+oEcffVTPPvusfuRHfqT9ta997Ws6depUp0LbV4qVpp4/M603Li4oCHbfxSxJqYS9ZvP5SF/mmscsFOtqtE469vxA0wu7/6RD7E/DvVnJiP6dz8SVucPF2GK12R6oBEGosZmyvnVuTi++Nataw9mscAHgHZVqjl58a1avX9iaPsj0QlVea+DSdHzNLddv+Ph8JtGeHDYMafg6/QlgM9Xq0aluMdu8YYLRrcpnoo3cpRr3cWCvWig1VG9ECWBBEGpqodr+2srY/lbvq6vHzd25hFIJMjiA7dBfSLcnoW3LVH93qsMRbczMUq29WOC4wZZXFgmCQG9cXNDzZ6ZVrDS39LWAzdLfnZJtr7rut6i0/TvNf99uHwEAsDOVas512/OJ2Up7Q/tisbGmikA+m1A6GY31DEMa7mW+E7tfJhlrz4PKkIY26X09Pnf1Wppfrt/xSbYTcxV9841pXZripG/sDqvnBY1119TU/Na+nxeKjfZhV76/dq4TwN6z0qZcnNy+e2QYSsGqU6HDcH+f9A5g7xjsSenKTElvjy/JNLQrE2GnF6ry/ahdbjSjKtb7VcdW6T/2sY9peHhYL730ku6//3498sgj7a8NDQ3pySef7FRo+0bD8fTF5y7LcaLFneVyU+9/YKTDUd2Zuw52q1p3ZVnmdTefWObafCXLMrYrNGBT9RdSyqVjcv1AmWRMpnln7+X1mYvfOj+nlXn/S1Ml/bXHj7UXmAFgszmOpy9+7ZKarT7IUqmhxx8a3dTXWN/O2eaN2zTLNHT3kR5VG65itqlknM2s2FrV1qL6nSZkrpdNR89TIYkD2LOuube1Pm44nv70ucvt+2qxcvOx/VBvRl3ZhHw/2JUTe8BulUrYuv9EnxqOp2TcVmyXj7vfqV3aKl9/bVoXJqKF3guTJf21bz9Gvx07XjJh6/7jW3/dX2/+e/38/630EQAAO09j/VxquaHHH4zmUm3LvHoCpyFZq/pjlmnonqO9zHdiTzFNQycPFaL3tWUquUmHUlimoXbahnFnewmm5iv68xfGpFB66/KSPD/QiQOFTYkP2Cq2ZeqeY72qNVzFY5YSreqa0wtVPfP8qvezF+jEwc19P9vrrrP9evIysB+sb1NcL9DJQ1t/j7RtU6P9GdWbnkzTVHc2cfNvAoBd4Nx4UZWqqyAMdHGqqPtO9O26Mf/6vt9uXy/biI7+5R566CE99NBD13z+H/7Df7j9wexDC8VGewFHkqYXd291CsMwlE3H3/Hrfd1JVeqOlspNZZK2RvspkYbdK5mwldzgc+TScY0OZDWzWFMiZskPQhmtEh+1uqtyzVEhv9FXAYDrW6o47UVHSVtyus5IXzQhU6m76s4m1F+4+SnHpmkod4P+BLCZaq3T9FdORNyolfduuUoSB7BX9eSTGuxJa6HUUDph60Cr9PdCsbHmvnqrY3uqbwCdEVXh2ht9zqHejGoNV+Waq3wmroEtqjCwYnX75ji+FooN5viwK2zHdX+9+e+Zxdqemf8HgP1sqbR2zDe7cLU9PzbapQsTRXl+oNGBbHvz7QrmO7EXbcX7+viBbl1sXUsHBnJ3VDl5aqHWruYhSdPzNZI4sCtY17mmpuara97Pk/PVTU/i6MknVe5xtVhqKM0eHmBPm15Y26ZMzVe2JYkjEbN0ZKRLE7MV2ZapY6NdW/6aALAdZhdqrcO5TTWdQEulhob7dldfanQgq7rjqdbwVMgl1LOP96myYr9PBUGoZNySZRntsjR9XXv3QjAMQ0dHunS004EAO8hof7Y9GTI+W9bcUlSWyjINxXdZdiaAnaXpRouK6xcNV3Rl44rblhwvelxf180TLG6XZZnbMvkD3KmVShyblcSRz0SLLKWauynPB2BnGunPaqAnrWTckmFESdiFXFy2bcprnb7am+c0KQDbwzIN3bXJmzgkyfMDuV6wpq2TornLK/Wor2Pbpgo5NiQCK643/00fYfustFuJmHXHlZMB3JowDNVwfMVsc9+c2N2VTa5tz7uvrudmUjHdf6KvU6EB26bheDINQ/F3WHPYqOwmXEv93al1H29tkjtwp1wvkOdfO+Ze7Zr38y0clHa7DMPQkeG8jgznN/25Aews/YW0pIV1H2+PgUJ6QwfP3GzfAwB0Qm93UuWpssIgVDJpqyu7+/Z925ap04d7Oh3GjsAu3X3I8wOdubSoesPTUE9Ghil1ZRK6/ziTfMB+9aF3HdAr5+Y0NlNRTz6hNy7M68SBbqpxALhtE3MVTcxWJEWZ09c7OScZt/Xh9xzSm5cWlUjYuo8+CPahWmsDYiYV25Tna1fiqFGJA9irlsoNnRtbVhhGCZEnDxVkGIbSybi+69GDevvKspIJm7E9gF2tWGnq7bFlBUGofCZq61Y2RL///hHl0vNqND3ddahb6SRJHMCN0EfYHpW6q7cuL8r3Q2VSMZ0+XJC1TzaWA9vND0K9eWlR1boryzJ08lBhX1SZSCdtffixQzp7eYn2HPvS5emSZloVaA4N5TTUm+lwRNd3cDCnb3twRFPzVfV1pzhkCjvSmjF3Nq6TBwvXTUI+MJjT4w+NaHKuqt58SqeO8H4GcOdG+7PtNqWQT+juI72dDumW3Mq+BwDohLuP9WpqvibH83XiQNemHRyKzuCvtw8tFhuqNzxJ0aaxnq6kThzo7mxQADoqHrd1+kivwjCapAlDaXyuQhIHgNviB2F7IkOSJmYrGu7NXHcCuJBP6n0PjGxneMCOUm31x9PJTU7iqJLEAexVk3NVha2S48WKo1LVUVc2OlG7rzutPk54BLAHTMxVFARRY1eqOipWmyrkorkJ2zb18KmBToYH7Dr0Ebbe1HylXe28Wne1WGpuyUnFAKTlckPV1qEYvh9qar6q3KG9n8QhSb1dKb3vAdoW7D+O67cTOCRpfLayY5M4JEWV0Ua6Oh0G8I7WjLlb84vduetX7Dsy3KUjw7yfAWyO3damBNfZ9zDUm5FF9U0AO8D0fFXHRqM2NQiiQ2aym3R4KLYfxwHtQ5a1tkNBBwOAdG1bQNsA4HYZ0pqEDdM09A6VmIF9b2XTQWaTkjjymeh5SlTiAPasa/rrnPAMYA9a39bZtHUAdjjLXNtOrV9/AbB51h8Uc72DYwDsLevXGLjugY25dn6RawoArscwrt33QDcEwE5xzXwkDdSuxirYPtSTT6q/kJJlGcql4zowQLkvANFJ4AcGsrItU6mkrSPD+U6HBGCXMU1Dx0e7FLNNxWxTxw90ySCLA7iuWiNK4kinNqc4YrZViaNCEgewZx0eziuVtGVbpkYHspyoAmBPOjyUVzppy7IMDfdl2tXGAGCnOjCQVTYdk2UZGuhJq4fKxsCWKeSSGuxJy7IMZVIxHRrMdTokAFvMtkwdG+2SbZtKxCwdH909J3gDOxFjbgC4NYZh6PiBVfseRtn3AGDnODqSVyoRrRkfHMwpldicPSfoDP56+4TnB/L8QImYJcMwtrWUZ7HSVCJuKRnn7QZsNs8LVKk7Sqfiitu3l5cXhqGari/bMtsnW470ZzXST2IXgOtzvUB+ENzwnl7IJ1Vgw8KOU6o5sk1T6ST9sZ2i2vAkbV4ljpXFlnLV3ZTnA9A5i8W6DMNQdy6xZlEglbB1//G+DkYGAFsvmbB13x22da4XKAhDJWLWJkd162oNR0FwNcEWwM01HG/N/ORuE49Zuudob6fDwAb5QSjX9ZWIWzfcmNN0fZmGFLM7d6/ZSTpx3zs8nNfhGxxAFf2NDMVuc70EwK3b7rnm3q6UertS2/Ja221lDwf7KLBZHC9Qre4om4rLXnUv9P1ArhcoEbfueMwNAPtNIZdU4VRn9j2sbrevN0YtVpqK2RZr/8A+lU7GdPfRnl0/lninvut+s61/wZ/5mZ+55ccahqFf/MVf3MJo9o9S1dHZK0sKglD5bFynDhW2JTs0CAJ96fkxTS/UZFmGvv3BUR3gVBxg09Qanp5+7rLKNUeJuKUPP3ZI3blbG0AEQai3x5ZUrDgyTUMnDxWUz7DBAMA7WyjWdWGiqDCU+rpTOsaJV7vGV1+e0KWpkmRIj90zpJOHCp0OCZJq9SjZIrNJJ+mv3MdLVOIAdrU/+dolvXpuXoZCvfv0oD70yEFOdwKAWzC/XNeFyaIUSv2F1LYdXrPat87P65Wzc5KkU4cLevSeoW2PAdhNwjDU+fGiFksNGYZ04mC3Crc4twlsplrD1ZuXluT5gTKpmE4fLsi6TlLRlemSphdqkhGdYj3Yk+5AtDvHt87P65W356Rw59z3Lk+VNLMY/Y2ODOc1UNjffyNgK3z1lQldmmSueTMslho6P76sMJR6upI6caC70yFhl1sqNfRn37yipuMrl4nryfceVjJuq1Jz9NaVJfl+qFw6rlOHCzJN5hsBYKdav8/z5MG17fZfvjSuK9NlGYb0nnuHdOIg/TFgv1kqNXRul48lFop1PfP8mBzHV1c2riffc1jxXZyQshHb+lM/99xzt/xYNilsnonZioIglCSVKo6WK81tWQyZmKtGE9qSfD/UK2/PkcQBbKK3x5ZUbm3UbDq+XruwoMcfHL2l7y1WmypWou8NglDjs2VOjANwQ+MzFYVRd0Lzy3UN9aaV3qQKAtg6S6VGlMAhSaH0yttzLKztENVGK4ljk05IWanEUa278v3guhtOAOxs88s1nbm0oDAMFUp69fy83n33oLqyiU6HBgA73thMWWqNV+aW6hrqzWx7CfFX355r//uty0u691gfp+EBN1Cpu1osNSRJYSiNz1ZI4kBHTM5V5fmBpGhMvVBqXLP53/X89nqXwui+s9+TOF5tJXBIO+O+13T9KIFDav+NSOIANtdSqRElcEjMNW+CsZlye81lsdhQtdfdtAN/sD+9fmFBTceXJJWrjt6+sqT7T/RrYq4i34/ebOWao6VyY89WtwGAvWBybu0+z2KlqUI+mi9ZKNZ1ZbosKZpLeeXtOZI4gH1obHbtWKLS6yq7y8YSr52fl9PquxYrjt4eL+reY/tz7+q2zqZ96Utf2s6XQ4u5bv+Wtf4TW8S21ibi7OeSN8BWsNdtzozdxmbN9e2AxWkbAG5i/ak8Jgm3u4K1rv/Fxv6do9bwJGnTkqFy6avPU6m7bPoGdiHbMtccaGEZBqfiAcAtWtNeGteOX7aDZZnyvGgTsGFITIUCN7Z+PpJ5BnSKtW4t63pz5YZhSIbaSQv003fefc80tOZvxJoHsPmYa95c1/SFaLewQev346xco9fuC+DaBYCd7Jp9Gas+Xr9PzLasbYkJwM4S9ef89se7cSgRs9e2X/Y+7qPu3598Hzk8lFcqacs0DQ31ppXPxDfleeeXa/qTr13SHz97SVPzlWu+PtyX1cnDBVmWoVw6rsd2QCllYC85daigkf6MLMtQb1dKD57sv+XvzWfiGupNyzQNpRK2Dg/ltzDSnenc2JK+8NUL+tLzV1RrOJ0OB9gRbnRdHB3JKxGzZJqGDg3llNzmU21xZ/LpuB482S/bNpVKWHrfffTHdopKfaUSx+YkcViW2a7qUapyXwN2o+5cUu9/YESJmKVk3Na3PzzarrJzp54/M60/+uoFfe3VyfYGKwDYi46NdikeM2VZhg4N5pSIXV0AWCjW9cWvX9JTz1687hzmZnnffcNKxC3ZtqlH7xnat6W/gVuVTsY0OpDVlZmSXjo7q4m5shzH63RY2IdG+7PKpGIyTUN93Sn15K+tCGNbpo4Od8myDMVsU8dHuzoQ6c6y0+57MdvSkeG8LMtQPGbq2Gh3R+PptOVyo93/GZspdzoc7BE7da759QsL+qOvXtCXXxxTYxf1JY6OdCkRj9ZcDgxmt72SIPaeB070q7crJcsyNNqf1cnWyewHBrNKt/YLDfSk1Z1L6MylBX3hqxf058+PtQ+cArD3BEGgb7wRrRF8/bUpBQFrBLvBocFce5/nYG96zcF9XdmEHryrT5ZlKJ2w9Z4d0h8DdpPphar++NlL+pOvXdLcUq3T4dyRI8P5q2OJgeymHRy6nR462aeermTUdx3I6q5D+3eubV+MBL/yla/ol3/5lxUEgTzP04/92I/p4x//eKfD2jbJhK37j/dt+vN++cVx1ZtRRteXX5rQD37ormuy+x+7Z4jkDWCL2LapJx45dMfff2gor0P7MHlDiko+f/31aSmUlspNPfvqtL7rsTv/XQJ7wc2ui2xrgQa7z/3H+7akL4iNqTWiJI50avOGZNl0XNWGp0rN3bTnBLC9NnMMffbKkt68tCRJWi43lUzYevjUwKY8NwDsNLl0XA+dvH4b9+WXJlRrJdB++aUJfeJDdym+BceFHx7O6/Dw/pxnAe5UGIRqNH1lkjHNLtb1/Juzev8DI50OC/tMPGbp3mO9N31cfyGl/kJqGyLaHXbifW+gkNZAId3pMHaEL780oXLrkI+vvjKhj3/HCSVJMMUm2GlzzVPzFb301qykaO7DMmf0+EOjHY7q1mRSMT14F2su2DzppK2Pvf/INZ9Pxm3dt+q6nVuq6YUz0XWzVG7quden9KF3H9yuMAFsozcvL+ns5atrBJmkrftPcO/Z6W62z/P+E/38HYE7FASB/vLFCTletOf5L14c19/4zpMdjur27YWxRDoZ13e//2inw9gROjpb8/nPf16f/exndeHCBTWbzWu+fubMmQ2/RhiG+umf/ml99rOf1enTpzU+Pq6Pfexj+vCHP6xsNrvh59+vgiBQ3blaksfzAjlecE0SBwDsRJW62y6rLknVBptdAa4LYHutJHFkUpt3KkIuE9fMYk3lGpU4AEjV+tp7Ofd2APtVfVX753mBHMdT3N6cSsUANqZaX3vqb6XOWAYANkNtVf/H90M1mh5JHNiTyjXmPoDbVVk3Z1irc90Ae9X6671K5R0A+5zjBe0EDklqOr489jyjwzo2W/PMM8/on//zf66Pf/zjeuONN/QDP/ADajab+tKXvqSBgQF97/d+76a+XrkclYqtVCrq7u5WPH5nC3VhGKpW251ldCRpeqGmhWJDQ71p9XZdWxL6doz2JnVpKvq9jvRlpMBRbZs2jNUarso1V5lUTNlN3PgGoDOWSg01XV+FfFKJmLWpz91wPL09tqxEzNKJA10yTVODvRnlMv9/9v48Rrb8rg/+32c/dWrfet+7777MantmbGzMZgx2MAk8SSAB8oCihID4kUAUghQTkEIS+AM9IUERivgBEooSEuknPyFmCZjEeJnxNp6Zu9/b9/beVV171dmX3x+n6nRXb7eXqq6q7s9LstU93V197r11vue7fBYxqER1aTLR0d9JSMtGoYF8ScVQKozhVH9XgTuP90VNNdHQLMTC4kC2DyTnl+N6QUe7cAffmzHFX+NUGxT4RMhFpBk2KnUDIYlHPCJhdiyGh0tlmLYDjmOwMJE48GdX83UUKxpGM2FkEv09ZyGEkOOaGYvh3ccFeB4wPx5HRKEEjousqpp4tlZBRBExO3ZxW7T3i8mRKN57sgXVsAEGuDSZPNbPn2TdP0h7NYQQclILEwncb1ZdHkqFEAvvnf/UVROLaxWEQyLmxtufiY7roVDWAACZRAgsy3T/ogk5gYmhKN59dLK5RLGqw7QcpGIyxA6fTZ6Gabt4tFwCwwCXJpIUUEZObHmzhnJNx8RQFMnYdmyQInNwPQ+uC/A8g0tTx5uDE0IGx/x4HE9WK7BtFxzHYH48jlJNh2E6SESljib52raLhysleB6wMJnsShdcQgg5LVnkMZQK4yt3N8AwwOs3Rmm+TXquZ0kcv/3bv40f+7Efwz/+x/8Yf/iHf4gf+qEfwo0bN5DP5/HDP/zDGBkZ6cjvYRgGv/Ebv4Gf+qmfgqIoqFQq+M3f/M0TJ3FYltWRDiG9sFky8d6yBngAwwAvzoWRjJz8LRBjgfGoBdfzkBIM3L1b7tzFHkI1XKxsGfA8AAwwkRYRlvtnY4UQcjzrWw0sb/oJYWv5Bm7Opzu2WWrbLv74i8+CiuS5oooPvTgOkWfx8TdmsZavISwLyFKLddIFK5s1fO7rK353C2YL3/7qJEYz/dsF7LzdF6WajodLZQD+vOfabJoSP0nf2FkNupMJRtFmQCJ14iDk4tEMG+89KcB1/bZac+NxZBIhfM8HZ7BV0ZCMyohHpH1/9slqBV/45hoA4JuPtvCx16YpkYMQcq4MJRVMDZtwXQ8jaQWe54FhKBDxIlJ1E5/94lOYzQ7TlbqBFy8P9fiqLjZF5vE9H5rFRqGBeFhqCy57nlJNx8PlcnDecZR1/6Dt1RBCyEm97/oIJoYiMC0Xk8MRsGx7UIpu2vifX3wKo/lMLFY1vHpt+2z+4VIpKBJSrOm4Op06u4sn5Bh2ziWiioh0PHSkn1vN17GaqwPwzylvzmcg9Enw1p+/tYStZhLV0kYNH3ttprcXRAbS/aclvHV3AwDw7pMCPv76DBJRGWv5OlZydSyMJ1BpGHjxcpbmw4ScY+l4CJ/44CzyZQ3pRAiqZmGxeX7e6dic//WVJeRL28+v7359piOvSwghnbaSq8Ew/c5ES7lqj6+GkB4mcSwuLuKnf/qngwMzx/E3ibLZLP7hP/yH+E//6T/hB37gB079e2zbxn/8j/8R/+E//Ae88sor+OY3v4l/9I/+ET7zmc8gkUgc+/UEQcDCwsKpr6sXCm+vwfTy0A0H4RAPJTGKa5cyvb6sY1vNNwB5uxtKNhnC1DAtLMnZGNQkrn5WqunBx7bjoq5ZSHVgoWhaDt5+mMOTtQoiIQEhicdavhF8XeRZzIy2V5cq1XRsbKngeQbTI7G+qrxDBs9Kvu4HBQAwTQdffGcdN+bSmBqJIST1Z+v6WsOAqtuwHQ+JqNw3hxYnUa4ZwceeB1TrBiVxkL7Ral8s8mxH77No2H+PUxIHIeeb7bhY2qhBN23wHOvPoVULjuOC4/wxpVTTkUmEEFHE51acX97c3qD0PGAlV6ckDkL6QLVhYjVXB8cxmBqJdrQy3kWwtlVHuWYgLAsoVvUgmEszHFi2S+v9C2qzqAUJHACwmqufaRKHbtpY2qjBcTyMZcMHJlgOOsf1sLRRhWbYSMVkjKTDh36/LPJ79uiOolwzgn0Xz/OTcp6bxLFjrwYesJyrU9AaIeRAhYqGzaIKUeAwPRLryl6pZthY2qjC84CJoUhHO4YdNr7lS1qQwAH4Z6+vXvM/dhy3rctrtW7CcT1w1I2D9KmTzCVK1e2zSct2UazoqDSMns/TdNMOEjgA/141bXffaua5ooqtioaQxGNqOBrsCZGLqa6aWMnVwTDA1EgMyzm/gKJu2qirFr783gY++sokSs2zM55nkY6HaK+BkAugXDf8Lt41A7UdczzbcVFTzSMnQB7GtN0ggQMAtsoaTNOGSGNMR+xcM4wPRYKifoSQ46trJpY3q6g0x8PFtSpM04Eo0nkB6Z2ePS0dx4EgCGBZFqFQCPl8Pvja6OgolpeXO/J77t69i1wuh1deeQUAcPv2bQwNDeHevXt47bXXjv16DMNAUQYzmEE1gUrDzyIzahZsdzD/LKkEg1J9e2MxnYhCUU4/qSSE9IYiC6irfjArw6Bjwe1P1iowLBeu66FU0yHwCrLJg8cKw3LwaLnsd/kB4LgVqi5FTiXVrB7peR4KFR2puIxK3cSDpRJeuJTt8dXtpRk2Hq9WmsEMFlzXw+UBbqHsdzfY3iwKybRJRPqHqvtzcqXDiUWx5qbdzoN2Qsj5s7RRw1ZZg2HaeLZZw9RQFC48VGomRjN+kGT4GF1+UjEZy5v14PNOHNoQQk7Hdlw8WCoF3XVMy8HN+cErxNIrpaqOlea4VlctqJqFcMifJwk8C56Cmy6sZFQCwyDY+4lHzzY47/FKBY1mQvfDZQsvXs6ey/fjaq4WBG/UVQshie9KIOTudb9yhHV/MtLe6SN1xu8BQsjgOKu90gdLpSCZ4v5SCS9eHjqTZIlYWATHMXAc/6GYiGwHgnEcC0nkguuSRI4SOMi5Ew4JwR4tw/hJ4JbtAujtPE0WeSgSD9Xwry2iCPsmcNRUE0/X/aIcddUCwzCYGY2d6bWS/uG6Hu4vlYIx/cFSCam4jNVcDcWqDs/zzyofr1SgyHywJunkuTwhpD/lSmpQ6LSuWuC4HXO6Do4BIs8iomzH/SghgRI4Oujhcgm64c/NG2e4ZiDkPJJ4BuWaEax3qw2TEjhIz/XsiTkxMYFcLgcAuHr1Kv7H//gf+PZv/3YAwB//8R8jm+1McOPo6Cg2Njbw5MkTzM3N4dmzZ1heXsbs7GxHXn+QZBIhDKdC0AwbEUVCRBnMA4p0PATH9VBtmIgq4qFB2YSQ/jc1HAXHMjAsB9lEqGMLRcN0IPIcXriUwdJGFVPDUbzxwtiB329ZTnCIDwCG4Rz4vYQcxeWpJCzbxdpWHSGZx1iz8plh9ed7y7Sc7WqU6N/rPKrhlALP81DXLMTDEpJR+fk/RMgZaej+JuZxgqyPolWtsbVJSgg5n1obi5bjAR5gOS6iighJ4JGKy1AkPkjmOIobc2m4HlCs6pgcimByONqtSyeEHJFtu0ECBzD4c/Ozppvtf1+jmQgkkYPnAWOZMFg65LywElEZH3lpAg9XyoiEBLxwhl04AL8KbovrerBs91wmcey+Bw2zO2PYSdb9V2aSsF0XuZKK4ZSChcnBLV5BCOmus9orNXe8ruN4fodFtvsBJPGIhA+/NIEHSyWEQ8KezlRXppNY3/ID/say1LGInD9TIzHwHAvDcjCUVPBwuRR8rdfztG9//xTeebQFALh9ef+YGd3YPd+y9/0+cjHYjhskcAD+M+vVq0PQDRuW42IoqSAVC8GwbFyeTgbv/WwiBJmSOAg513avx9MxGTzPQjcdZOKhZnGEzvi2903hmw/8At63FqgYTSft/Hc8yzUDIeeR4zG4Op3C0qbftWx6JArbdsF3ofMmIUfVsxn566+/ji984Qv4xCc+gR/5kR/Bz/7sz+Kdd96BIAhYXFzEP/kn/6QjvyeTyeCXf/mX8TM/8zNgGAae5+HTn/40hoeHO/L6g2R+PI5n6357LZ5nMTvA1RiGkgqGkoPXRYQQshfLMl0JFMsmQ1jZrCMWlvD+G6O4Pps+NFBDkQWEQ0JQfSSbogQxcno35tK4MZfGg6USys0WxdlEf763IoqIkMRDa1Z4Og/P2ZH00QNYCTlLavNZEw51djkWDftJHDWVOnEQcp5lkyHUVBMhiUM4xAdVp+fH4xhKHf/5zbJsX3YJI+Qik0QOsbAYdNfq1zVEv0rGJKxvNWA7LhgGGM2Eu9IFgAymieEoJnqUsDiUVIKA2KgiQj6nVd6yyRDKdQNonkMkutjt4iTr/htzadxAugtXQwg5T85qrzSbVJArqgCARFSCKJzds2E8G8H4AQkasshjdix+ZtdCyFnjdp1N9tM8LR6R8KEXxw/9nkRUhCiwMC0XYPxinuTiEgUOiajUdg7JsixeuzmKeEQKzr6Hksqe9z4h5HxLx2VsFlW4rgeWZZBJKoiEOltgriWmiM99fpGT2blmiEfEM10zEHLeyCKPy1NJhJtj4dRIlBI4SM/1LInjZ3/2Z2Ga/kHkxz/+cXAch8985jNgGAY/8RM/gb/+1/96x37XJz7xCXziE5/o2OsNqtFMBN/7wVkUqwYyyRBiivj8HyKEkAE1lokgqoiwbRexiPTcSpssy+DqTArVugGeZxGlMZJ00KXJBMp1AyzD9G3wEMcyuD6bQrVhQuDZoKI/IaTzGrofANDJCjcAgvl9K+CTEHI+ZZrd6wzLwUtXhqDqNkSB69rhCyHk7DEMg8tTSVTqBli2f9cQ/UoWedycT6OuWQhJfMc6fhJyWpPDUcQjEhzHRTwigWHOZ1eYZFTGzbk0dNNBVBEg8BRcQAgZPGe1VzozGkMyKsH1PCRozkdIzwzaPE3gOdyYy6CmmpBFruP7zGTw7HcOSWffhBBFFnBrIYOGZkGRecgi7ZENIlozENJZH3l5HMub9a4VnSbkuHr2dBZFEaK4vUj4ru/6LnzXd31Xry7nwkhEZSSO0FackIusrllYydXAMgymhqPnoo1ovqShUNEgiRymRmLgnpPQcF4cdzOKYxkkYzRGks5jGAbJAXj+chxL98AA8jwPq/k6ag0LsYh4YAU90j9UvdmJo8OHa9Gw/3rUiYOQ8y8cEoIqMQcdvBQqGvIlfw0wORwFz1ElGUIGCXuO16eO62F5swbdsJGKy12pbC0KHFJUlY70oVj4fAROua6HlVwNDc1GMibt6YihyAIFExJCBl4390ptx8XSRg2m5SCbDCEdpyr6pL/oho2lzRo8z8P4UPRCFI4YtHmawLNIndM1Izm+g84hB+3sWzNsLDfHnomhaLD/SQg5OUngINEe2cCjIj/9x3ZcLG/WYJi0phs0uulAN20wDANVt2gPk/Tc4EcmE0JIBzmuh/vPinAcDwBgmA5uLWR6fFWnU1NNLK5V/E8a/ibOzGistxdFCCGkY3IlDWt5v9V7TfWrA3YjEI50Tqt9uSJ3djnWSl6sUScOQi48VbfweLUCeAAafqDl/ESi15dFCCEAgJVcDbmiCsDvIBaSeKoISsiAWS80sFHw7+OaakISuIEKDiOEkF57ul5FsaIDAKqqPx+iwBHSTx4sl6AbDgCgoZXwwuXshSkQRwjpnQfPSjCs7bHnxctZsDT2EEII6UPP1qso0Jpu4Hieh3vPSrBtF4B/nvri5aEeXxW56HqWxPEjP/Ijh36dYRj87u/+7hldDSGE+GzHDRI4AEA37R5eTWcYptP2+Xn4MxFCCNm2e1zfPe6T/tPQ/X+zTleRalWLM20XumlTW2RCLjDDdPwEjiadng2EkD6iG/auzx1EKQeZkIGy5z6muQYhhBxL2/6dBxiWQwE/pK/sfLb7Z6cuOJaqeBNCusfzvCCBA2iOPa5HSRyEEEL6kr57TWfSmm4QOK4XJHAAgGm5cGm+QXqM7dUv9jxvz/9KpRK+9rWv4enTp/A87/kvQnrCcVzkSxpKVb3Xl0JIx0kCh1hku/pjJjH47c7iERECvz3cZ/v0z1Sq6siXNDiO+/xvJoT0Hc2wkSupUHWr15dy4aTjoWBRybIMtVAfAK37pNNJHCGJDyri1Rp0LxJyHnmeh0JFw1ZZg+sevG8SDYttLdL7dQ1ACLmYMokQ0DwT4XkW8cjgdeGg/VFy0WUSITDN+5jjGCSjUm8v6DnoniWE9JudZ0+SyB3alczzPBRb5yeHrAMJ6aSd+wixiAhRoASOw+imfz5SV6lDMjl7qm6di/M5hmGQjm+fbyWiUluMAyGk81rzzK0yzTMJOa6d82VJ4BAND94e90XEc/55RLVhoNowkIpJlMBBeq5npVl///d/f9//vri4iJ/8yZ/ET/3UT53xFZGjcF0Pd54WoTWrBw+nFUyPxHp8VYR01uXJJMp1AyzDINHnB5BHIfAcbs6nUW2YkEQekQ4HjHbC0/UqckUVALBZ5HF9Nk2TJEIGSEOzcGexAM8DGAa4PJVEPDL44+egiIQE3JxLo6FbCMsCZIm6L/S7huYfpihyZ/+tGIZBVBFRrhuoayaySQraJuS8ebxaQbHZnjlf0nBtNrXv9/EcixvzaVTqBiSBQ+SQgCBCCDlr6XgIsshDN23EwiIEfrACwnbvj46kFUzR/ii5YOIRCTfm0tAMGxGlPXm037iuh7tPi1BbZxopBdOjdM8SQnprOKVAkXmYloN4RALPHRyk+nS9inxJAwDkSiquz6bAMHR+QrprdiyOZFSG63lI0F7/oXTDxnuLBTiOBzDAwkSCCi2RM1NtmLj/rBicz12bTfdlLMBRzY3HkYrLgIdzEadBSL/bOc+MlFRcm6F5JiFHNdRc0xlHWNOR/uJ5HliGARgGLjUaIH2g7yK8Zmdn8eM//uP4tV/7NfzX//pfe305ZIdCRcPyZg0ruToyzYrPhYpOSRzk3DmPVcwFnkM63n+BnJ7nYSVXx9sP8pBFDsmYDFW3oZs2tZkjZICUajoKFR2qbiEk8cgkQpTEccZkiafkjQHSCh4Kd+FZFw0LKNcNVBtU9Y2Q82ij0EChrMPzPKTiMuat+IHVMHmO7cs1ACGEAH5Hsk53Jesm1/Wwmq+joVuQBT5I4ACAQkWnJA5yISmyMBD7d7ppo1DRUazqYBkGngdK4iCE9IXDum8Afheh5Vwdbz/MI6qIiCoiGpoFw3RoH5CcCQqgPppy3UChoqOu+sX0EhHp3J0zk/5VbHbs1Qz/bL1U1Qc6iYNhGCSjdP8QclY2CipyRRWu5yEdk2GMO5BFmmcSclQRRUSk1xdBjsV2XOTLuh9LwQC5IouFCY8KTZOe6ssn7/j4OB4+fNjryyA71DULj1cqsB0XlbofEDaUVKDQJiEh5BQ2CirWtxqwHAe1sgmeZ5GIStSWmZABoxs2tsp+lQ5Vt9HYEdBECNmrobc6cXQhiaMZAFBTKYmDkPNoq6yhrvpjiGm7fqUYQgghXbe2Vcf6VgMAUHR0WLaLUHNfNNTh7mqEkM5iWQbrhTps26+sJwhUGZEQMhiWNmvIlzRYtov1rQbEERbhkAiBp3GMkH5i2S5yRRWAfz5C+7LkLKm6n7Dc+lg36XyOEHJ0WxUteG6ZlgOWpXkmIeR8Yxm/YJ5hOgD84k2UwEF6rS9PmP7kT/4EQ0NDvb4MsoPRXOzxHIuJoTBMy0U2GcLEEOUTEkJOrrWRNJaJYKusQRZ5XJlOUZs5QgaMLPHIJkNQdRuyxCE6wFV+CDkLDc0PwO5GRawgiYM6cRByLmWTCgA/MCAdk6nNLyGEnBHdcIKPeY7FcFqB43gQeJb2Rwnpc67rYTQTQbGig2MZZOJU2ZcQMhg0Y+f5iQolxOPKdBIcnZ8Q0lcEnsVwSkFdsyAKHGLhw7vsENJJ4ZCAdEKGbjhQZJ4q6BNCjiUTl+E6LjwAqZgM13UB0FyTEHJ+uR4wkg6jUPGL1GbiIUrkID3Xsxn8L/zCL+z5b6Zp4sGDB3j06BF+/ud/vgdXRQ4SC/uVXfwqcwKuz8aRScgo1Qx4nolkVKbBjBBybKmYjK2yBp5jMZaN4Pps6sCq5Lpho6ZaCIf4rlQuJ+SicRwXpZoBnmNP3RY9FZORjoeQjHpgGCBJrcIJOZQadOLo/HKsdUhYpYpvhJxLIykFQjNgJxYW93SwU3ULDc1GVBEgU+dMQsg5Z1oOKnUTIYlDROluoFQ6LqNY0wEP4DgG45kIjbOEdFhDs6DqNqJhoaPBZ7LIIxMPIdR8zeG00rHXJoSQbsokQqirFgSexdRIDDfnM6fqwlFtmDAtB/GIRN08COmgRERCKi4jHpFg2g4Y+PszdJZJzkIqLiMTD8Hz/A50qT49n7NsB+Wa6ReC6/L6nRBydCPpMDTdhusB6XgI0q7zBkIIOW94jkU2GYJp+UWbhlMKxTyTnuvZSdOXv/zlPf9NkiSMj4/j7//9v49PfvKTPbgqchCB53BjLo1KfXth9WiljGKzNWMsouHqdKrHV0kIGTTxiIQbc+nnBpqpuoU7i0W4rh8gfmU6RZVsCDkF1/Vw92kRqu5XcxvNhDE5HD3x6ymygJtzaUq0IuSIGs17L9zVThxWx1+bENJ7c+NxvyKW5yEZbT+UrdQNPFgqBYe2hyVIE0LIoDMtB+8+KcC2XQDA/EQc6Xioa78vGZNxYzYNVbcRi4h0qE1Ih5VrBh4sl4JEqRuz6Y4lSrEsg6szKZRrOliW2TOHIoSQfjWUVBCSeBimg3hEPFXixUahgaWNGgBAEjjcmE9TR3RCOkSWeNycz2CzoGJpo4pi1UCpZuDyVBLxyOkKaBHyPFFFPNJZey9Ztov3nhRgWv76fWY0hqEUJVYT0l+o4zch5ALxAM/zwDAMQPkbpA/0bAb/53/+57361eSERIFDNukfhnqeh2JVD75WrZuwbJcqtxBCjk2RhecGl5VqBlzXXzh6HlCs6pTEQcgpaIYdJHAAwFZZO1USB+AfVPTj5jAh/cZ2XBimX9mhG8HVEcV/zRp14iDkXGIY5sCOV8WqDq951uK6Hko1g5I4CCHnVqVuBgkcAFCo6F1N4gD8BNxuJOESQoCtihbEjDiOh3LdwEgH9xg4lun6GEEIId0QVUREOxDnWqhsn+kaloOaalJSGyEdJAkcOI4JOqa2zjIpiYOchaOctfdSTTWDBA7An/tTEgch/aFQ0YPutg3NgmE5He2MSQgh/cZ2XFQbJmJhf55eqvrxiNSNg/QSRdyTE2EYpq3iHM+z4GgwI4R0iSxyh35OCDkeUeDaFiEhSr4g5MzsTKBS5M7fe60kR0riIOTi2f08pzkzIeQ8k6X2MU6iMY+QgabsmsfQPU0IIZ3Vtj5kQMF5hHTB7n0YOnchxCeLXFuVa7o3COkfO59dHMdA4GktTgg53ziWaStSL+2KnSKkF850dvzWW28d6/vf9773delKSCdcmUpiOVeD5wETQxEa0AghXZOOh2DZLsp1A5GQgGGqzkHIqQg8i8tTSaxv1cFz7Km7cBBCjk7VLQD+xijPdT6nPtqsmFNrUBIHIRfNcEqB7bioaxYSEYmqTRNCzrWoImJuPI6tioaQxGNiiNY0hAyykXQYjuuhoVtIRmWqDk8IIR02PRoDyzIwLQdDSYUCaAnpAjrLJGR/iixgYSKBfEmFJPKYHIr0+pIIIU2XppJY3qzBdT2MZSNUvJkQcu4xDIMr00ms5OpgGNC5AukLZ7pD83f/7t8Fw/gPfM/zgo8Pcvfu3bO4LAL/36NcMwAAiaj03H8bAJAlHpcmk92+tDNV1ywYpo1YWGrLuiPkPFN1C5phI6KIbR12+kGlbsB2XCQiEkbSYYykw72+JELOjVhYRCyc6vVltLEdF5W6AVHggkD0QRPMqRggETnanIpcLHXNT+LoVnvzKHXiIOTCYhhmz2ZjMJ+OyufyAMZx/OAInmMRj0i9vhxCOsp1PZTrBjiWoff3ATKJEDIJSlgje7WeDwLPBZ3q+l21YcKyHSQiErguJHv3O5ZlOlZgwrIdVBsmZJFHONSddRchhHTLSdZw22eb4oHVk3mOxexYvJOXSkjf0k0bDc2CIguHJizVVBOm5SAekTpWbIfOMkk/6+UZXComIxU7OFG7XDPgeh4SEYmKxxJyhiSBw8JEIvjccT2Uazrtt3fIeT+fIWRQhSQe2ea5wu5ueuRstWJWo4oIsc9iVs/SmSZx/N7v/V7wcaPRwK/8yq9gdnYWn/jEJ5DJZLC1tYXPfOYzWFxcxL/4F//iLC/twnu4XA6SOFJxuW2SdlHkSxoW1yoAAFFgcWMuQ4kc5Nyr1A08WCrB8/z2iDdm05D7pALTar6O1VwdAKDIPK7PpmnThpBzzHFcvPekAMN0AABTI9GBPOzYOadKx2XMX8A5FTlcqxNHONSd522sefhSbVhdeX1CyOBY3qxhfasBAAiHVFybSZ2r+bTrerj7tAhVtwEA40MRjGepkh85HzzPw/1npSApczitYHok1uOrImQwOK6HO0+L0JrPh4mhCMb6/PmwtlXHyqa/BxaSeFyfS9Ph/gmZloN3nxRg2y7AAPPjcepORggZGCdZwxUqGh6v+GebAs/i5nz6wEQOQi4CVbdwZ7EI1/XAMMCV6dS+Sb0bhQaWNmoAAEnkcHMufSETacnF4Tgu7i4WoRn+OmlyOIrRTH+cwT1br2KzqALwC9BdmU5SgTRCesB1Pdx7WkSjWYxuNBPuWLGFi+i8n88QMsgoTro/lGsGHiyXgFbM6lwastgfMatn7Uz/1O9///uDj3/pl34Jr776Kv7tv/23bd/z/d///fj5n/95/MVf/AU++tGPnuXlXVi24wYDEwAUKzrcMa/nkwfdsLGa9w+vxociXb9Jt8pa8LFpuag2jBMd8JRqOrbKGmSRp3ZzpO8VKjo8z//YcTyUagZG+ySJY6u0fU+qug1VtxA5RlUQ23GxmqvDsl0Mp5UzqyhSrOooVPwxYDwb6flYSkg3bJU1lGo6FFnAWCbckc3UmmoFCRyO6yd01FQTQ0llYCp9WHb7nKpQ1TF3hO5z5GJpbX6Gu9SJIxbxn3d1zYTjuHT4SMgFtnON29As6KYNRRbguh5W83Woug3bcSAKHFIxeeACHFXdChI4AH/9QEkc5LzQTaetq9ZWWTvXSRzVholcUYXAsxgfinSsCu5BNosqqg0DUUUcyMRxcjhVt4IEDgDIl7W+T+LY+czWDL9y9KB0EOmmSt1ArqRCFDhMDEWPtM9erht+AgcAeP7e53HnOLbjYiVXh33Ge4qEEJI/YA131J+xbBeVujmwncpU3cLaVgMcy2BiKNLVZJSaamKzcHbzT3J2SjUDxaoOVbcgiRwyFW3fedXO+ZdhOqipFhLRvecQO9+X49nIha4OSwZbXbOCBA7AvwdOmsSxvtVAXTMRD0sYSimnvradz7Jqw4RhOT0P4KN7n5xXtu3iaw9yqKsmZsfibZ3aWp2sWvJljZI4TuEkc3tCSPf5+341PG0Wep8dT2BuLE6xfT2wVdGAHTGr5ZqBkXR/xKyetZ79qT/72c/i137t1/b92ic/+Un803/6T/HLv/zLZ3xVFxPHMuB5NjjcEAW2Lwam+89KMCw/mLOuWXjhUrarv0+WONTU7c+lQxaGlbqBL76zDsN0cG02hctTSQD+Yu7hcrk5wBhwXA8zo+f3kJ0Mvt1twXZ+Xq7p+OI7GzAtBzfmUliYTJ7ptUkSF4wBDINjb448Wa0EwdTluoHbC5mub7DUNQuPVsrBGOB5HqbOcaANuZgqdQNPVv0FTalqgAE6EhAjiRzAAPD8oCoGDEpVA5W6iVsLGUgDsEHKsQx4joXt+HMqiecGMoGj1+P/eVdX/Q3Q4yQmHkcsLIFlANcDKg3z0BblhJDB9fbDPBbXKoiERLxxewyKvHf9Kos8LNsPAmdZJug0uZyrYbOgYquioVjRMT0SRalqQBS4gQpSFAUODIMgKV2S+n+uQMhRCby/N+e6/hu818EL3WRaDh4slYI/q2k7uNTF+WehouHZehWAv55hWQZDydMHnex092kBD56VIUscXr89FnRKI2dj9/Nh995XP5JFHrqxcw9sMANJ33tSwKNl/73/wdtjp1rz6IYddA8G/IO8ufH44T+EveOldIJ//917ii9cylBVe0LImZBFDvXmWa2/hnv+2COLPKowd3y+/TOu6+LL725gs6QiFZPxxq0x8Hx/PmMcx8W9p6VgX1UzbFyfTXfld5mWg/vPtuefhuUE57ykvz1ZreCdx1sQeBav3xxFcp99T92wkWtW9K+rFmpZc8/3AP69ExSGYPafMziuh3vPSkEMRUOzcHM+06E/DSFnS9q9j3bCdVKuqGJ50+9iU6oa4Djm1IVhJJELEvE5jgHHAJ9/exVbZQ2ZRAiv3Rg90+fX7ntf1W3cmOvOM4mQs/bWnQ08bp7zr201EFUEZBL+vpjAc7v2I2kdfBp75/YHj2O27eJL7633bNwj5CJh4OHdx1vQmnuxmlnAR1+Z7PFVXUws6+GdR1to6CbS8RAuTSV6fUk907MTQF3XUSgU9v1aoVCArutnfEUXF8MwuDqdxPJmDQzjVzfpNcdxg+BtwK+A4bheV7taTDUziA3TQSYRQiR0cAbsF765jkLFz5p9884GhlN+lXDNsIMMMcBP6iCkn42kw7AdFw3NRjImtW14/tXbayg1Dyy/9N4GhtLhMw08mB+P49lGDbbjYiQVPnYCxs6qi67rwbCcridxaPquMWBHRRNCzgtt1/t6ZwXs0whJPBYmEsgVVZRqfFAdy3U96IY9EEkcLMvgynQSKzl/TjWo1Um+8M46ihV/Lv6l9zaQHaBuKIOg3qxic9hc8zQ4lkEsIqFcM1Cq6pTEQcg5tL5VxzuPtgD4AQlv3VnHR17eu8E4PxHH0kYNtutiNB0OAoBa8+RWByzDciGJ/n8ftCSOy1NJrBca4DkW0yOD+dwlZD88x+LKdBKr+To4dnDnlUehm05wOAx0bn1xkN2vr3X49xUqGr56NwcAqKnAF7+5ho+9NtPR30EOJwkcFiYT2Cyo4PnBeD7MjsWxtFENuskOYuLWVlnF1+9vv/e/9O46vuP90yd+Pc20gwAz4Oj77LGwiJmxGIoVHbLEY2Lo+P/+e/YUTYeSOAghZ2J+IoHltjXc8wO3Joej8Dx/rErHQ20JdPeXSkGQXl21EFW28NKVoa5d/2lYthskcADdnRMaVvv8c/d+N+lPqm7ii++sBfOD//2NVXzfh+f3fJ8s8cgkQs1OHPyBe7AzYzGwLAPTcjCUUhCS9s6/bMfd7vAFeq+QwSY3z+A2m10wT1qEcPfZdyfui0uTCSxv1uC4HsazEdxbKuPpml98wX9+iV0v+LqTZTtt9z7F/JDzpFzfkdzoAeWasSOJg8XlqSTWturgWRaTA7Cf0s8WJhL7ns/s5+7TQtu4Fw+LuLVwduMeIReJ5XiIKiI8zx8PFUmAbbuUONUDmwUdmmnD9fxumYWKhmT0Ysa29Ow04JVXXsFv/MZv4Pr167h8+XLw3+/fv4/f+I3fwCuvvNKrS7uQFFnAlelUry8jwHEsIgqPxVV/krIwmehqAkfrd+5sFbcfz/NQqZsoVnV4nudX1/b8xWk8IiEWFtu6mlDQHDlLnuehXDfAMsyBwbaFioZK3cRIOgRFFsGyzIGbNLq5Y9PFAwzDBs4wqEvgOSxMJE7886m4jPWtBgC/goeyzwZsp8UiYlsVfhoDyHkUj0hg2Xpw0JWMdS64PxWTkYrJiIZFrObqAPwAnHCXgt1bGpoFw3L85zh3usVZONSbOVWlbqBQ0ZGOy6dOuND19vFfNx08v94pOaqa6m8IdCuJAwASzSSOct3o2u8ghPROQ7dg2g4cx4MkctgoNLC4VsH4UBTijk1GsRnEulsqJqPaMBFVBOiGDUXiwXFMkEA5SOIRiRINycA5bN6mGzZUw0YkJCCqiLjaR3t13RKWeUgiFySWdXsdnYxK2Cg0/OAvBkhEOzuG7E4K0U3ngO8k3ZSMyn1z4KPqJjYKGuIREel4KNhfBrbffwLPYv4Ue2D9oKF19r0fCYkQeBZWa589fvR/z6GkcqoOO7v3FENyd/ckCCEXV12zYO7Yk5QOWMNVVRNbJQ2pmITErucbxzIHnm22Kotuf96/AeiiwEGRtzsjpI8x7h+XIp3t/JN0hmY4bQmeO4tB7pSISEjH/XMGy3bAsgx0096TJMtzbHDuENmnuykAiLz/PY1mUZ79On8QMkiSMTl4H+umjeXVGqKKgOwx5s7JqIRcSQU8v4vg7ufSScgij6GkAtfzEJaFPc8r/YyfX61zyda9T88Jcp5MjUSDgsUiz2EkHW77eiwsIhY+3/uRu/dpuuWg85n9r2lXglyH9xPrqgnLdhELi+BOGQtByKCTRR7DKSW47yaHI5TA0SO6aSOx44xs9x7GoDAtB3XNQkji9y0OcBQ9S+L4xV/8Rfydv/N38KlPfQoLCwvIZrPI5/N49OgREokEfvEXf7FXl0b6xGZBxUreD+DsVUDkbo9XKyhWdEgih7W8hlRMRjoeQqY5sRN4Djfm0ijXDMgiR8Ek5Ew9XC6j3OycMZRSMDPanpzxdL2Cz7+9Bnj+AeTHX59pq8q02+XpFN5+kAcAZJOhrm6ad8PkcBSRkADLdpGMyWeyGJEEDtfnUqjUTRoDyLkVknjcnEuj0jChyHxXKnaPZyNQJB6m7SIVk06dWHGYfEnD4ppfkU4S/ed4N39fN+RLKv7srSU4jgeOY/Cd758KqqacxJWZVFBBNZMIIZsYrPG/3wWdOLqYGJmMSni6jmBeQAg5XxSZR121oBk2anUDQ+kw/urtNSSjEj722sxzNxuHUgokkYNuOuBYBo7rIR4WIZ9B0jMhF93uedt3vG8qCJaoNkzcf1aE5wEcx+DGbPpC3Jccx+L6bBqlqg6BZ7seGBVRRNyYS6OmWoiEhI4njI+kw0hGJb+zKQNcner9fibpnbpq4n9+8akfJMoAH3phDLbtoVj1Ox+m4/LAJ2+0jGYjSET9ZHIwwNXp5KleT+BZ3JhLo1QzIArsmSblTA5HEQ75VfiSMbnrxaUIIRdTrqQG1XZlicON2fS+Zxilqo4//vIz2LYLhgG+7dVJjGYiR/od8+NxPFopwzQd8DyLy1OJTv4ROoplGVybSaFQ1cGxTFcDZs96/kk6IxmVMJQKIVf0A0+vTO0/1wiHBNyYS2OzqGIlV0euqGGrrOP6bArKjsTMO4sFfO2evwceUQR8z+szEHclejAMg6szKRQqWtffl4ScJd208UdfeAq1eVbxyrUhXJtJH+ln4xEJ12fTaGgWoorQdl+d1LONKjYLKgC/YOLCeBxPV6swbf/5ddQg6E6he5+cZzfm0oiFRVQbJiZHol09q+xHu/dpPnh77LnFns/C5akkFtersG0XIs/hUgf3ijYKDSxt1AAAIZnH9dk07XOQC08SOFiOnyE+aLFB58nV6SQ2Cg04joeQxGF29GSd4npJN23ceVKE7fh7NpenkieKFe3ZSeDc3Bw+85nP4Hd+53fw5ptvYnl5GYlEAj/+4z+OH/3RH0Umk+nVpZEeq6smVjZruLNYRFTxOwWs5OowbbetquhxFSoaSjUDYVnASFrxu2gcg+N6KFb8A7ap4SgSUQmXJxMYy7Rn5EkCh+HUyQMnCTkJ03LaAjXzJXVPEsej5QrQrFJjmA6WNmu4NpPCRkFFQ7eQjEptmea35jMYy4Shmw5G0wq2KjqqDRORkLAnI79f9WLzXRZ5yKnzH2hDLjZZ4rseUHbS+1c37aBi5lg2Akk4uDUpAOTLavCxYTqoNsx9N2Qt28Vavg7bcTGaCXdkY7pTHq9W4DQXmY7j4cla9VRJHDfm0hhJK8H4z7K0cO2khtpK4uhiJ45mRd8SJXEQMnDqmoXNQgM8z2I8Gwk2D3euZ8tVE69eHUalYeCdx/mgqkepZqBQ1Y+0Ho1HJOqyREgPPFmtoFo3YVgOJIHDk9VKkMSxVdZQrOjQTQfhEI9iTceYdLQAvUEn8CyGznAvTZE7E2iyH55n8bHXZrBZUqFIPAUFXnBLmzUYpgPP81BXLXz+7TWMpsNBMYRCRYci19HQbcTC4qm6R/SayLP47uZ7PyzzHanIK/Zwn50CtQg5nxzHxWreP28cTildKU5zVPmSFnysGw6qqrlvwlormAsAPM/fBzwsiUMz/L1RhgEmhiL4xAfnUKxoSMUlKHJ/B+lxHHtmz8Kznn+S02NZFt/xvilsFlUIPLvv/ndr70SReTAMgrMB1/Wa867tNcDjlXLwtdVcHW/e2cSLl7N7glk5lhnoORohO9VUE5tFFbmSinrDBNsM4n2yUjlyEgfgdxk/qNP4QXubh9n5TKzWTcyMxvCJb+nt84vufXKeTQ5He30JPbO0WUO5ZkAzbAgci8cr5b5I4kjGZLx+cwSruQbGh8Id3U/MlbZjITTdRkOzBrIrO+kf1YaJXEmFJHAYy0YGLilIN22sF1RkmoWsV3J12LY7cN04HMfFSr4Oy3YxklIGMilvNBPBJz80h3LNQCYZ2tM9cRCUawZsZ3vPJl/WBiuJAwDS6TR+7ud+rpeXQPqMZTu496wE23GgWw6cuoFUTIYkcqdK4KjUDTxe8atsFys6GAbHDkLnWKa9hXtMxuRw9NjJIIR0A8ex4DgmCOIV9wlajioCNgo7PxexWVSxvOlnXRcrOniObXuYtJI6ilU9qApVrOhgaeOCENKHPM/D/aeloJV6TTVxeyF76M9IAoc6rLbP9/N4pYxqwwQAVOombl/K9E1W/u7qwQdtnh9HN9vHXnRBJ44OV33eqXXoT504CBkslu3i/rNiMKc3TAeXp5J71rOAHyScjocQDUngOH9NyjBAWB68DS5CLhLH9VCu+89nzbDhuF7wtbpqIl/2Axdqqon5id4fIJKTaQWrENIKDq5rFqoNE+GQgFxJBc+xCEk8GrqF5U2/E3VrX26QkwfovU8I6XeL69VgTVWuGbi9kNn3LOUsSAKHRnOPCMzBe5K7948O209yXQ/3nhaDc0xVt3FjLg1FvriBeuR8YVn2wCSmasPcsXfid7jZafc9Fg4JqNRNlOsGNNOGbtq496yEFy5lIPC9GRcI6SbDcnD/WQmu60HVLJSbcTgAoHTorMKyHdx7WoTrtu9tPo8kctB0G4DfmUngWHAiS88vQkjHcSxQrOmAB2jwg7n7wVZZw2ZRA8+z2CxqiChix87qZZGHbvixE2BwqthLQgzLwYOlUvCsNy1n4LoMizwLkedg2v59IYncwCVwAMCTtQpKVf+sqVwzBnYdE1HEgUxAadm9znxekeGD0Ok+6Su66cB1PbAMi9vzGSxtVhELC4iFJbx1ZwPj2QjGTnAQ1NCt9s8164DvBGzHxcOlMuqaiVhYxMJkMsgavDKdxFIz4H1yqPMJHPmShmcbVTAMMDcWp2p95Mg4lsHlqSRWc3UwDDA1srfF1EtXh2E5rt8acSiCyeFoUGlmq6zh7rMivvEgh9dvj+HWfHs3pN33TGsjpVt008bD5TJ0w0Y6HsLsWIwSpgghz+W4XpDAYTsuHixVoRs2ElEZCxOJoKrQTkMpBQ+XS2joNubG4nsSIlp2ziVsx4VpOX2TxHFjNgXNsLFV1iDxHFTdxtfu5TA7Htu3gh/prbrmJwN1M4mj1YmDkjgIGSyG5QQJHMD2HFzdMfd2XH8+b1ouGMbD/EQcS5s1ePDw2o1RLG3WUNcsJCLSgc8+QkjvjGXCGB+KoFo3EYuIGMtuFxhRZAGJqATdtBGWBTxdr+FL726A41i8cXMUExe0St6z9SpyJRWiwOHyVDLoPkTIIJgcjuKFy1l89d4mQhKP+YkEnObeXLGmg2MAlmGC97WqW0jFZDiuh8crZZTrBiIhAZenksdafzY0Cw+XS7Bsv5PkxNDFHD8IIRfX0/Uq8iUVksjh8mQy6Cis7tjfc10PmmF3PIljebOGjUIDIs/h0lTiwO5f06MxgPGDXoZTyoHfd3kqibpmYaPQQCom4+ZcZt/vAwDLcZEva8iXNLAMMJoJAzh6ZXVCzpqqW3i4XA7ug/3ONo+qoZlY32qgrpkQBQ435tIYzcgo1XQUKzqerldQrhvBXslrN8fw5ffWoRoWpkaiiIUluK4Hw3QGMviJXFyHxbbspBt2EHAZC0tYmEwA8AvCfODmaEeuxWjG+rTsfO621vaSyOHSZPva/tJEAkubNbiu51f07sLZm5/oVYbjehjPRprPSELIRZOMhjA3FkO+pEORecyNJc7sd+dKKpY2amAZBnPj8eAsF9g/prFTSRxDyRAeLZehmTauTG+vjbphca3ixyvsWoeR82PnfAIAVKM/EqGOg2VZfOSVCXzjQQ4A8MrVoR5f0ckUKjqerlVgux7SMRn6AK5j6qqJz31tBZW6gbFMBN/y4vjAJdQkYzImhiMo1wyEZeHEBY7OdLT8hV/4BfzkT/4kJicn8Qu/8AuHfi/DMPhX/+pfndGVXRy6aUPTbYRDQkc2Jlfzdbiuh/FsGCx7+ptIkXjwPItyTYcocvjO90+j0jCh6TY8z29hlIzJxz6wTUQkrObq8JrPkcOSI9a3Gqip25W2c0U1WMQpsoCr06mT/eGew3FcLK5XgOY1Plmr4BVK4iDHEFVEXJ05+P0p8iw+9MJ4239LxmQUKjoeLBXhOC4EnsXbD/OYHY21ZTomohI2Cg3/HmLQtqAAgK2yirpmYSwdhtiB9lYruXqQKJIvqWBZIBMPgedYaIaNiCJCGLAHNyGknet6qDZM8Bxz5MzqjUIDhun4LZj3GQN4jkVUEVFTTZSqOjiGBcCgXDOQK6n7duFa32ogFQshFfMroFfqxr7t7VIxGc82qnBdIB2X+6qVH8uyeP/1ETiOi6/ez8F1Pbjw8GS1gleu0lyi39TVZieOLlYUaD2nSzW9a7+DENJ5IYmHJHIwTD8hsVUNLx4RsZpn4LoeSlUDLjx48KDpNvgwh9sLWZiWg3xZg+f5z8PDnn370Q27Oc8WBm6Tj5BBkoqH/CqUzbV1KrZ9GJeOy0HHS8O08Wi1DIHj4DgOvvzeOtKJEPQ+WQ+vNAucdDuxpFI3sFlUAfjBIM82ql3bl9uP5/lrFpZlgo4KhBzXrfkMxjLhoDI0A3+vWhQ4NHQLm8UGZkbjYBj/vwP+XlgrIbuuWljfamDyGPfb0/UqTMuvwr6W94N+W8HBqm7BsBxEFbFvChMcRamqo1w3MJwKQ+njzmOtcYNhGMTCNG4Q0guVuoFcc/6gGw6WNmtBFfBkVMa60QAAiAJ7YDGXk6pr/pgN+En6j1fKmBiOQhb5PeeaAs9iYUfFUtt2sZqvQxK5Peu4l68cLaiEZYBqw4DneXC87T2ofmI7LmqqCUngDkxcIRfH0kYt2APZKKhIxuQTz7sd10Nds+B5/trBMB1cn43C9byg+nS5ZiBf1pqJUzw++sok5sbj2Cz4Y4Ykcm33aqXZRXG/8wJNM/FwtYJkVMLk8MmTTwg5rcNiW3by44PYYJ1waz5zrDXGTgfFHO3e22zF5Oxc2+uGg6WNKq5Mp9rO/I7SseM0FtcqQaeq5c0akjGpY+d8Dc2CaTuIhaV9E2gI6Tf9ui9QV03YjodYWNxTnMo0bawVGoiEBGQSyol/RywsYnYsgekRPzAvk+xMosTzWLaLp+tVwENwhv/yjsDxZFT2x8kgHqtz5/ur+QYyCf/PqWo2GprV8XUQ0Jxnlfwu07vXYeT8CIcECDwbPFOT0b3z5EEwnFKQjMnggFONKb3U0CzYzcKA1YaJICh6gHzjYT7YA1/N1/F4pYIrM4M3boxlIhg7oGPkUZ3pbveXv/xl/OiP/mjw8WE6WXHdNE3863/9r/H5z38egiDg2rVr+PVf//WOvf6gqKsm7jVbJPIci+uzqVNlPX7hm2t4suofPo1lw/i2V6dOfY0Mw4BjGVi2C88DRIFry+AD/IOQ41JkATfm0qg2TCiycOgByu7Xd89okPOC/2v+XteD53nUfYB0VSom4+pMCu882gLLwg/Y8vzNzp2iiojrs2nUVBORkNAWePpgqYQ372wAHhBRBHzP6zOnTuRo3fee52ElV0dNNbG4VoVh2kjFQuB5Fjfm0iduQ0UI6S3X9XDvWTE4SJwYfv6k9mv3c7jzpAAASMdD+NhrU/smkF6eTqJQ9tuNWs2uHMDBa5bd84yDnvs8x8C2XTiuB55l0I+PZ9dD21xiANdpF0KtlcTRxU4crQ2Tcp06cRAySDiWwfXZNAoVDQLPBpWWFFnA9dlUswOHgy++uw7X9aDqFm4vZCCLHFbzdXAsAw/A1HAMAs8eeS1bbZi4/6zoJ4Dwzb2CPkpWJOQ8iYX9tXVdNf020TvmA8mYjGuzKTQ0Cx48PNuoBV+r6zbefbwFz/MD/m7Op3uWcPX5b6z6h44AJocj+MjLk137XbuHMc/t2q/a18PlcnCIMJI+XWVgcrGldxQmEXkWj5oJHWFZgDwcxdRIFFFFDA7R96xT3eMt7g76+UJFw+NVv4iQJPoVqvspYOMgz9ar+Pzbq/Ca1/29H5yBIvdngsSjlTJKVX/cGEopmBmlcYOQs3bYXt/kcBThkADTcpCKyR0fA3f+bsdx8XilDs1wAMavMn5QgTnXdfFnby1hq+wHPV2fSx85cWO3iWy0mUy2txhXr1m2iztPCn4n5ef8nZCLYfdZ5HHnPDuJPIep4QjUZoedVizA8+ZV0yMxREICLNtFOi4HHQAer5RRqPgFcjKJEObG48HPaJqJ/+8f3fWDpQB860sT+MCtznQyIOS4jhrb4scHpVGs6hAFLigec1x1zcK9p0W4rgeO8/cyW8lPXPN37N7b3H1Nngd8/X4O7x3hzK9T9sYcdeZ1cyUVT9f8PZKQzOP6bJoSOUhf69d9gbV8HSu5OgA/5ujqdCpI5NBNG5/94lM/roABXrsxgoXJkwX5yhKPG3NpVOoGQhK/b6Jmd3jt8YC7BqHD9oxPa/fv6lYMZK9iLcnZ4jk/Vu+084le+w9/+HZwxvH1B3n8xKdu9fiKjq9VEMx2XEQVEUwX51Hd4jjtBz62e8YHQH3kTE/l//zP/3zfj7vt13/918GyLP74j/8YDMMgl8ud2e/uJ/myFixObMdFsaqD41jcf1ZESOLxwuUhiEes5Oe6Lp6sVYLP1/INqLodVMEqVDS/TUxIOHLlz1JNx8pmDetbDSSjEhiGwWZRxdRwFI9WyvA8IJsMnbgyiyILR/rZkXQYpaoBw3IQkvhg0Os2nmMxPhTBaq4OMMDUSIwSOMiZiIVFfMtL43jrzgY8D1iYTOy7WAmHhH0zsh+tlIMFR121sLrVwOxYfM/3HeS9JwVslVWMZyPBYms8G0FdtdDQTJi2g4ZmoVQzIPAsUrEQbNtFqaofeXw5LzYKDTQ0C4mo1LH2iaT3XNfFNx9todowMT0Sw/QBB/yO42JtqwHbcTGUVI5UISFXVFFTTcQjUlBhoR+oht1WCS5XVJ+bxPFopRx8XKhoKFb1fbPiOZbBUEpBLCLi3tMiTMtFSOaRPaCSxvhQBI2lEhzHQzwiBpVPd8uXdMTC/tcaul+tvN+qxQk8i7FsGGv5hj+X6HJlZHJ8nucFLXEjSvfeP60KLa3gIULI4BB4tm2OW6kbeOfxFjiGwQuXM3BdDwzQ7FbZ6mrFQRZ5DCVDWMs3UFdNjA1FnruW3SprqNQNlGpGcHDpz7MNjGYoiYOQbomEhAMP4hqaFaz5FiYTeLRcBsMA4+lIcJ9azft0KPX8/SrNdPC5ryyhrll4+coQ5ndUez4Ju1U1rml5sw7TtDvSkXM/8YiIRFRCuWaA4xhMDJ+umtFxGJYTJHAAQK6kURIHOZVW10hVtxEO8WhoNhgGuDSZwEqujgdLpWBPIJtUUKjo0AwbksBhZJ9KuoeZbO6nu66HVFwOirEEVR3hV6iuNkwwAIpVHYosYCSt9OV+9MPlcjAGGqaDp+s1XJ9N9/ai9tEan1tyJRXTI9G+/Dsl5DyLRyTEIiKqddOfP2Tb5w9HCTJprcNYhsHthcyRu6nGwiJSMRnFqg7VsBFvJVF4/phwUMJCqWYECRyAvw96WBJHpW6gUNEhN7t2tALcBJ7D+FAE7Ja/Nzg9GgvOa6OKeKT5YzdV6v7ZK4Dn/p2Qi2FiKIKHy/6cJRGVTtXFKh2XkYqHIGkWBJ4NOhGMZsKo1I1Dzwl2n7c5jhskcAD+/snMaCy41x6uVoIEDgB45/EWhtIKljaqSMVk3JhLtwWju66Ldx4XUK7pmB6NYWb06GeohDzPSDqMJ6sVVOoG0vHQofuBotDe7cm0Xbz9IAfNsHFlOoXhIzwnCs2YI9NyUCzqcBwPL13JBoUmdu9tAn7HwXhERKX5bB4fiuCzX3y6/ZqHnPl1ytRIFE9WK/A8P9l6d4esk2p1GAH8/dp680yWkH6VL2lt+wKtsaMTTMvBWrMr3WgmvKcg62FxhDvvpbpqQTPsIBbCP/NoxhV4wIPl8qFJHKpu4+0HOTiuh5vz6T1dLULS3i553SbwHEYzYb9rH+OPSbsdtmd8GpND7XtE3eo2/Lx1GDk/ds8nBk25ruPJWiUoCHt/qQRdtyH3ceff/UwMR2BYDlzXQzoud7WAaLfcmE3hy+9toFTVMTUSw6WJi7tOGqx33wmoqor//t//O/7yL/8y2CwfGjpZ9RLAD7xSVfX539iHXMeEYWwfIlTrDN68k4PTbK1TrDTwLS8cvUoEx7jQm60QeZ6FbepQXRbVhomHy9sJHrquY+g5LcjqmoX7S2VYlov1rRoMQ0YqJkHkBEi8i6uTETiuB1HgzuTvf35Mge24fgsoU4dlPv9nOiEZZhGZjIBhAJ7DwL7XyOC5PJXE1EgUruseu5Ld7gXOcSYG7z0p4Ov3/cS65c06BJ7D9GgM4ZCAFy5nUVMNrOTrqKkWGrqNnYUrLloXjs2iiqVmJdZCRQfPsbQJdE589V4O95+VAABLmzUoMo/sPpusT9YqQTBAsarj9kIWwiHJl/mSFgRYFSo6OJbpm0MxkWfBMNuVbsQj3M+KxMNszjsYBkHi6EFkkcfthSwsx23+vv2DJqKKiBcvD8Fx3EOvQxRY2M1McJZlelb5+HkmhqIYTvmBN/1QOYW00ww7SKo+agDASbSSkWqqCdtx6b1AyICybRd/9uYzv3IrgEJVx+RwFLLIwbRdsAyHaFjEpakEag0TDMNgeiyGmbEYhpOHB2GWqnrQWXOrokHYMbcUBRozCOmF3Wu+azMp3F7wg382iyo2C9t7RJJ4tLno//t/Hgf3+rONKv7vT9xA6hQHszzPQhS5YF4u8hz4IxaEOQmGYXB5KgnTcsBx7JlWs+RZBizLBHM3GhvJaT3bqPrBEvDXlFdnklBkAV+/v/+ewM35NEzbhcCxQcDgUSWiEl66nA3201skgUMd2wUVLMvBs80a4Pnjjud5GOvDQ/aIIgCF7c+7FXBwWhzLgOOY4LzlsL0IQkj3sCyDq9OpE88fXNfF/3pzCaphA/AL5H3fh+eP/PMLkwmYloOG1n5Weti+Y0ji2vZKlUOCyjTDxoOl0naCr+Niekei6eRwNEjKq6kmHi6VAfjjPBicWeG6/ez+OzjKnjA53+KR/ecsJ+F3AEjtmT8d9ZxgJ5b199Zb5wE83z4fS+7qcuN6Hv7q7TUA/lmn6wEvXMoGX3/74VbQcWA5V4cs8gMd+Eb6S6VuIiTxEHgOPMegrppHPgv8q7dX/QKjAFbzdXzyQ3PPPbcQBQ6u52ElV4PteAiJPB4slXFj7uAka4ZhcGXXs1mReBjHOPM7rXQ8hHhEgtuB8WYnSeCg6f6cAQwOPbclpB/sfv93Mubm/rMStOYculI32p6FlbqBx82upK1EyZ3PQknkYNn+c5fZdS/tLmz5vASMz31tGcXm71gvNPD9H1no6v7lUe2cp5/lue1Be0Sddtp1GCFnJSxxsC0Xpr0d+zNoCRwAkIzKeOmy2PV7u5u++bgIx3GhhESUazoWN2q4MnWyTkuDrmfvwM3NTTQaDczNzQEAbNvG7/zO7+DOnTv44Ac/iB/4gR/oyO9ZWlpCIpHAb/3Wb+ELX/gCZFnGT//0T+P1118/0etZloW7d+925NrOmut5qFVs6KaLsMxiqQJsbm4fANcqBWTE8oE/f2dJxWbZQkhicWs6hGEFeFjS4QEYH5Hx8OF9AEChamGragc/VylyGE0evtgr1W3kyv4Bkmu62Gh4YEwRQkLA3bvrAADL8bBWAbUhSAABAABJREFUMGFYLmIKh+GEQIcghOzieR6erFZQqvnt/y5PJY4caCwfUDnznUd5vPukAInn8MEXx/dU4fjAjVF82VtHQ7cwPxHfN/j8IKWq3vZ5saoHXQg4loHIcxhJhf2qUjIPgWMRDglIRqW+CUY/Kw3N2vM5JXGcD8Wd94EHFCvGvvfRzveA43gwTBsCf/DzVdXb3zN1zeqb+0YUOCxMJLC21YDAswd2H9np8mQCf/i5h7AtF6/fGntuwpntuHi0XEZdsxCPiJgfTxwY+MKxDDj28LFyYSKBZxtVOK6HsUykrzdi+zXBhCCoFCPwbFeTEaNhMQg67GQVHULI2dJNO0jgAIBy3cD3vDGD954U8Hi1AtN24HoeXr48hFBKgarbSEYljKSeHwjQ2DFPSMVkuK6HcEigjm+E9NB+a75WMPVQIoQHSyVUGyYmh6JHrlC7s6Kz43j40zeX4HoeIiEBH35p4kRryo++PIGv3svB84CXrw61VZjtll4cQnAci0uTCazm62BZpi04kpCTaN3jNdVErqhC1S3cms+gVGvfE9iqaMg2kzFPs2bgOBbcrh+fHo3Bg19tM5sM+QHA3vbX67vGoW6oqib+8qvLqGsWpkdieOP22HN/5uXLWdi2i3LdwORwFJN92nWSZf3Es+XNGliG2beyJiHk7Jx0/qCbbpDAAQC1hgnXdYM5z/pWA6v5OgSOxfxkYt+iVqLAQRRCmBpxg44Zh3XMVWQRwykFX/jmGniBxfuvXzrwe1XdChI4AEDV7D3f09ob3G9+iR7GQ8TCIqZGokf6OyEXx35zlpM6aP7Esgyk5+z/t5RrBhbXKlAN2y+MFZUwORzFO4/9RAyBY/DG7TF860sTeOfxFiKKiJnRWFsn8WKl/exzZ1ePVvIsJXGQTlF1CwzDQOD986/jnAVW6tsFYB3HQ6mqY7OoHhpnMJxS0NAtrGzWEAsLiEektn3Gw+x8Nn/oxXG8dWcDhungxnwaIs/jz7+yhM2iimRUxre+MnFg7MJJ8RwLdHh7YXYshqfrVZiWi5G0AkUevCrY5GKZGonC9Tx/XyAR6ljBOcf1ggQOwN932Flkbvc4sXueOjcex9JGDZbtYiwbbhsvhlMKJJHFe0+KiCoCvuMDk4dey84YJMN00ND7J67mqGf4umHj4Uo52L857b5kJ+dbzzOoweTk4mBYDlemE3jr3iYYMHjlahau6x27iE4/OMt7uxvWt+qoaxZsx4PIs1jPUxLHmfv0pz+N0dFRfPrTnwYA/NZv/Rb+/b//94jFYvjsZz8LQRDwfd/3faf+PbZtY3l5GQsLC/i5n/s53Lt3Dz/2Yz+GP/qjP0IqlTr26wmCgIWFhVNfVz/QTRsFcxl6MyhkfiKGa1f371KyvFmHvbqBdDOBXmPC+JZXRvHaK3u/V9Ut3Hu23eJ8bjy2pyLFnmsxbNx9VoLrJ7lheiSCTKI9cGRxrYosv72QHD3C6x6XbtgwbRdhmQd3wSoW11UTpZqJZFSE4wKyyB25suNF0u9JXMWqHmwGNjQLK7l6cC+dpEpduabj7YdbAADVsfGld9f3VJ1SZB4fffXwhdJBxociQacAhgHGshHopo18SUNUERANS0jF5SC7PpsMYXbs+O2zHMdFXbMgCtyZt0bslERUCgJwGAZ9s9AkpzeWjQTVODmOwUhm/0SoRFRGrtlKVDrCezkekbZbjzL+e+ggumHDsBxEQsKZPf+SMflYSSV3nhYxNeRvUGwWVVRVE7FDxrW1fD1oaV6qGsiHtSO1gj6ILPEYH4rCcdxTtXU/C6v5OjiWoYOgPtQKiup2O0uOZRAPiyjVDJRqlMRByKBSZB6JqIRyzV8Hp+Myqg0LisRB4P3/Vesm3nm8hW99ZRIsY+xpDb4fz/PAMAx004Ys8mAZBldmk0ge4WcJId2TiEpY32rAsByEJB6xHWu+9YIKjvUDkkzbQbGqH+n5PjUaw7uP/DW97bioqxYkkUOlbuJr93InWstnkwq++/WZY//coDAtB6puIxziEY9ItPYmHZOISmhoFjYKjaC68+PVCsYyEeSK23sCo8dcx9U1K1in7ix4tFVWoRkORtPhoOIkz7FYmEgE36MZdlvHmcP2DY7CcT3UVRMCzx4YvPTVO5uo1P21+pPVCsayYcyMHr7XJ4o8PvTi+Kmu7axEFRHXZw+uQkwI6X+KzCMZlVBqrsOGUqEggUMzbCxv+p3TDNfB4loFt+YzB77WSDp8pP25qmpio6BibjwBAHh3sYjL0/ufYUcVsa3rz+6x27JdNDQLIZlHIiJhbasRJOyddpzvhMP+TjzPQ7VhguPYY++dlWs6aqqFbDLU8aBfcjp11UShoiMdl48VKFpXTbgeEFWeX9SxdQYoCRzkU54BPlmtwA66dgCXJhNoGDbefpAHANg28OX3NvCpjyzgA7dGAQCFiobF9UpwX44PtXc2Gx8KY6PQAODP98YytG9POueoZ4H7nQOOpsN4qJYB+FXwWY5FodkFtBVn0DqXt2wHDc2GIvOYH49DN2yozQ4UiR3rZtt2sV5oICRxyCQOPpOLRyR8x/ung8/fe1LAWt6/T7bKGt5+kMcHbo6e4G/kbAk8h0uTFzPYkAym3fsCgP/MdVxvz77CcXAsg1hYDM7mI4oAeMDyZg0hiUM8LGGVqQdxhLvHKlnkcfmAwN2VzRoM0w2u+91HBYy8/+AuoqOZcDCeRMMiospgJFe19iQVmcfSZi3o8rNZUJGgPUpCOscDDNvF3FgCAJrF9DwAg5fEMehiYQma7sC0HDgy3zdFiXuhZ7sY7733Hj71qU8Fn/+X//Jf8GM/9mP4Z//sn+HTn/40/uAP/qAjSRxjY2NgWRaf/OQnAQBXr17FxMQEHj58iA984APHfj2GYaAovWs120mKAnzyWy7h8WqlmUl/8OKCEwwIwvbEhuG4A/8eFAV4KaSg0jAQloUjTST8nwmhXDegSMK+i0tBNCDt+M+iKENROheQVqzqeLSuAh4gSxyuz6bPtIVZL20UGviLr23ANB2Umm3tIiEBl6eSNBEcMK0NwpblzVoQHH6SBIhWq+Dg9W33gO88mdmxOASOxVZFw3g2gnBIxB99fhGqYYNhgA+/NIHrs2kUKho4lkUmcfwHtuO4eG+x4CesMcD8eHwgg1lTMRlXppN+pYCwtKdtJBlct+YziIQEVOoGpkdiB4670yNRhGUBtuMik5Cfm2yRiEq4OpNCXfOTHQ46IClVdTxcKQOev0l7Y64/n3/WrvHHspwDvtPntg+HcNzTjV9r+TpWmm2lYxERV6aSfdkR7C++uhy0v16YTOC1Adjkvkjq2o7Nyy5LRmWUakYQ/E0IGTwsy+K73j+F+0slGLYL13HxYKmEYs2AIvNgAAgCh2JNx//7+Sfwms/yj78+c+Bz3/M8PFwuo1wz4AHgeQYLE8m+T1Ak5CIQeRaO68K0HMgSB57bnmuub9Xxlbub/n0usJgajhxpXfu9b8xiOBlCtWEhFuFxb7EcfM1yDp9PX0R1zcK9p0W4rgeeY3F9NnXqIDBCWiaGopAEDqWagYgigOdYuJ6H67NphHfsCRwlIbNlNV8P1n/xiIjLzXXqe08K+Pr9HAAgGZXwsddmgkSOnUISj+uzqUP35I/KcT3cXSz4gVwMMDsaRza5d5zavTa3O7zXSAghnfCd75/C/eWyn/C+4+zU3bXhuPvzk9p97uI4B4+NosDhxmwapZoBSeSQ2hHkoJs27iwWYdsuWJbB1ekkrs+mUW0YiITEvl/3tdaqADCWDWNi6GidOp6tV/H5t1fheYAi8fjuN2ahyDSH6weFioY/fXMJtu2C51l85/unjrSOWdqoYqMZSJ6KyViYTBz4vbbj4r0nBRimA4bxO2qfJvhn51zF8/xzht336O6zinQ8hO98/xRWcnWk46E9XcOuzaShSAJKNR2Tw9ELHZxEOu8oZ4EHnQN+4OYo0nEZDd3G/Hg8SMpocZrPOc2wcWexAMfxwHEMrs2kcG0mhXxZA8swQUFJ23bxp28uoVDxYxNeuJTBrYXskf4clt2+R+F06BlLCDnc8mYN61t+wkMiKh0aN/g8l6aS2Cpr8DwPyaiMP/7S0yAx+uWrQ7g+mz5WHGGL5ex+Dh8+Pnz4xQk8WC7BcVxcmkqeSRfh01J1C3efFoNxltvVEaBT6w5CCPxOmwwDx/X8tA0GcF1gAIaKcyccEmA5DkzHgexxF7ogQ8/efuVyGZmMX53k8ePHyOfz+P7v/34AwMc+9jEsLi525PekUim8/vrr+PznPw8AWF1dxcrKCmZnZzvy+oMuooh44VJ2z0TM8zysbzWwuFZBpW5gZmQ76JnnWdx+zmIrHBIwlokca+KlyP7PHHRYNJ6NBEGl4ZCAVLyzGxy5ohpUo9ENp6195Hn3aLkMx/GgmQ4M08FGoQHPA/LNqv9kcKTjcrA5zTLteaL5knbsyX0moWBqxN9sZBjg9uWDq0qd1MRwFC9eHkI2qeDZRiVoVe55wP1nJQg8i5F0GNlk6EQB05WGGXQcgoegumGn5EoqFtcqwYZUN8UjEsYyEUrgOCc0w8biWgXLmzVMNe+DwzbvGYZBNhnCaCZ85FabsbCIsUzk0ApXm6Xt559h9u/z76XLWbSGgJnR2HMPe0ZSCoRmkEpI4pE9pOLPUbQOjQCgWjehm/0X9KbqZhDAAwCPd7RwJ/2hrrY6cXT/0Lw1py7X9Od8JyGkn4kij1sLWaSiMlqz+5mRGGJhEbLEI6qICMs8SjUDlboBVbewuFY58PUM0wmCYkIiD89D3wfyEHLebJU1LK5Vgk6LLfmyBlnkkYrJ4FkWxer2M7xcM4P1sAcGteac4ihevTaCb3t1Ei8uDB9rb+8i2ipv75vYjotCleZRpLOySQW3FjLwPL/DJM8x8DwPs2Px5+4J7KdV0RkAKnUTRnOd+nC5FPz3Us1Avqzu+dmW5+3JH1WtYW4HfXn+ftl+bs5ngoSSVFx+bhcOQgjpBVHkcWs+4we57kiCC4cEpJtnkwyDPYHaJ5WMyZgZjQWv+8Ilf56mmzaerlextFFtCxqXJR6jmXBbAgfgF6trJce5rod8WUOkeV7b7+s+3bDbCpEEVeWP4OFyOajqrBo2nm0cvCYmZ+vRcjl4T9q2i8erR/u32fnvX6zqe4K7dyrXjGAO5HnN845TmByOBoer/lkMu+cefeny3rVUJqHgxctDe8aFXNE/Q4yFRbx4eWggi8yR/rf7LFA3/OfH8mYNtuMeeg64MJn0C3wqItJxOTiD5jk26BqzVdaCQpKO4z9fOM4/vx9KKWCbwcaFqt52Xv5wqXzkP8PlqRSizeuXRA7XZ/fvSEUI6aydz9xyzYDxnCKKh+FYBsMpBSPpMLYqWpDAAfjjwc44Qs/zsFHwYxKfV4xucigaFIngOAa3Lx0es8TzLK7PpnFrITswAcG7x1lJ5IOxNRYRqfjyOVKs6lhcq/gxqqQnWI5tdnDkIIkchhLbcxlytlbzNYRDAhIRGaLA+Z1EL6iePa2i0SiKxSIA4K233kI8HseVK1cA+EGKlnX0w8jn+Zf/8l/in//zf45f//VfB8uy+JVf+RUMDQ117PXPo9V8PWgvli9ruDmXxsdem0K1YUKReIg9mOiEQwJeuJSBZbuQRK7j1a+FXdXIJOFoAbLngdJcjLeyeVsTWXGfCm2kv3EcixtzaRimA55n8c2HW0E3DZ5nTzTx+PBLE6jUDQg81/XqRbuDWsMd+H2738eC0Ln3db6k4elaNfiYZRkkj1ExkVxcjuPi7tNicIChGfapKlucxu7nndinz7+FySTGslHYrovYEdquyxKP25eysCwHosCdeuElCmwwnjIM+rJbCc/z4Dgm2OSRxf78t7zIWgGXZ5GM1wrCKlEnDkLOhZ3r1Ygi4oc+dgUswyIeFvD/+z9P0ND88cWwHIQPSRRrrQlaQcriERNDCSGdUahoeNIMXMqXNDAMgiCew/alUjEJwykFruuBY5kTJYTyPNvzvb1+t2f/gPbFSBcMpxSs5GpIxWTYtofHq5UT7weIAgfN8RMnWJYJOnaGJD5IIAfjf95tonC0+2ckHcZf/8g8VMNGLCwOREVMQgjZaX4igfEhGzzHdnR/8EMvjuP25Sx4loUi83BdD/eeFmFa/n5kXbNwfTZ96Gvs3ucdpLnMadaqu8+tzqJ4CjkaZdce6FHnJCLPBUGkLMscOl/YfZ5x2vP9kXQY6bgMz2t/7d336FHkiiqerm+fIV6ZTlIQJuk6x/Vw92kxSP5r6NaRzwG5ZkdKw3QgCFwQO3LU+ywk82AYBIl18jHO+RWZx/d+cBZ1zYQSEilOhZAzIgpsUBCVZRnwHQpkDsu8nxTZGg+k9nFjvdDAyqZfmDBf1nB9No3IAWenrW5eNdVCSOTO5Z7m7nE2GZVweTIBy3EhCZ2PjyS9UakbeLRcBgDk4Sc9DqVOV4iUHB/HMrg8lQySVaNhiZI4eiQVDyERkeC6HliWQeICr5V69mS7ffs2fvu3fxs8z+P3fu/38KEPfSj42vLyckeTLCYnJ/H7v//7HXu9QaMbNh6tlGFYDoaSSlsFiG88yOHBszIkkcMHXxhFSBLweLWMp2tVSCLnByN7QEOzocjCsdq5dwPHsfA84C++uoxcSUMmLuPDL453ZJI2NRKD5/mVbTKJ0KFVy8+b2/MZqLqFQkXHxHAEE0NRhGUB40dsVUz6C8MwkJsboZenEljarAHw3+O76aaNv/zaCko1A6NpBd/y4vi+m6H7bSp6nocnqxWU637Lw4XJxKkPLSaHo7g5n8azjRpiYRGvXH3+s6BSN/B/vrGKumZhdjSGD9wcbft6RBExPRpDvqRCEjlM7/P3cFIN3YJlu1jbqvubYQzw/usjHXt9Mjhs28X/eXsVm0UVyaiEj7w80VbZoVDR8GyjBpYBZsfiEHg2SOAAtqvz98LkcLTZjclGNhEKKt2clefdwzsdN5GMYxlwHQpWGUkr+NK7G7AsFzfn0315CCryLD780gS+cT8HlmXxvuuUtNxvGpoJAIgo3U/iSLY6cfRpdx1CyNG05hDwPMiSv1mfiEgYSUcAAM/WKzAsFwwDmJaDmmrgK3c34HouFib2BoTyHIuFiQRW83VwLIPpZiXJUlXH//7GapBY+vIVeoYQ0g11rX3e39CsIIljLBOBZbuoaxYSEamtQusrV4dg2g7KdRNTw9Hg3t3PV+5u4NFKBSGJx0deGm/by2NZtmd7e3cWC3j3UQG8wOKNW6MYSYeDr61t1bGxpULgWcxPxKHI+8+VVN3C45UKLNvFSEbBWCbS0WscSYdhWA7qmoV4WEQ2QVVySecZpgMGDATePxxsaCffD1iYSODZehWO62E8GwnWqa/fHsOX3lmDYTq4NpOCIgn4z39yH2tbdWQSMn7wo5cQ2ifAdX2rji++uwHbcXFrPo1rM4cHC++kyAJmxmLIFVWIAofZsYPHKVE8+0SyXEnFymYdHMdgfjx+ofb+CSHtdNPG45UK9OZe6H7nJs9z0oq+i2sVFKs6QhKPS5OJPd2WdxausRw3SOAAjva8SMdDUHUb5boRdOAAgLpq4n9/YxXVhj+XfOP22IGvsVVW8Vdvr8MwHVyZSQZdQbrtoLXqUbx6dQiG5aDaMDE9Eu1YhxRyejdmU6g3TOTKGoZTCm4csbL+pakEnq3X4HoeJoYiQSD5fmJhEVMjUeTLGkIi35F//4M6occUEWtbddx7uv/axbZd/J9vrGKzpCIVkzC961oamnVoEsfyZg1vvrcOxwNevpLdd1/npDox9pH+1tpDtGwHqm4j3HxvNjQLCxOJI58D7owzaBlKhqCbNqoNEzFFxPA+AaeqbuLz31hFpWHAslxcnUnhtZuj0A0bD1fKeOfRFuqaidF0GB9+aWLfe4Hne7dnQchFtTCRwNJGDY7bfOZ2KEk5EZXx2o0R3H1aREji8dqu8/+tsoqv3N2EaljIxEOYHIocmMQBAP/zS89w/2kRkZCAT31koWuB76pu4fFqBablYDQdxli2s3uPBxlOKTBMB1XVRCzsj7MMw3Ts34P0h91ruobeuxih01jL17FeaEAUOCxMJM6keEwnMQwD07Lxua+uAAC+543ZHl/RxfXBm2P4xr0cijUds2MxvPCcTkvnWc/uop/5mZ/B3/t7fw8/+ZM/iXg8jn/wD/5B8LU/+7M/w61bt3p1aefO0mYtaGX+ZLUMVbMwORKDZlh493EBAGDaDt68s4nJ4Sh0w4Ekcni0UkE01MDUUASu58KynQM3LXazHRcNzUJI4jte0fu9xULQJWSjoOLdxWJHAkwEnsXCZOLUrzOIeJ7Fh14Y7/VlkC6IKOKh1Zm+8SCPfMnP8F3erOP+UgnXZtLYKjfwbK2G2bEEUom9myWe52FxvYq1fB2SyKPaMLGar3ckQeLFy0N48XL7Pe24HuqqCUnk9hyQvHVnM2ix+HC5jPFsBBPNjdFCRYNuOhhOKvtuKJ1WPCziG2U1aNWsahYqdYMq6VxAD5ZLWN6swbQc6IaDtx/kg2QEx3HxZLUSVJ55vFLBC5ezkEQueO/EI/6Gqet6qGsWBJ4NFjum7SJXaCCidCeZkud6+/z76r32e3gsG+n4QZtt23hv0d8kujx1shbMq/kGhpL+OFKqGzCbHT76zXg2gvEz2lAix9cK3DyLZKmgE0eVkjgIGVS75xCAh5evZvFsvYKv3c9hYiiKzaIfpDCWieD+UhFRRUS55h+aTo3E961al4hKwRhRVU0UNmv4xoM8ag0/0ezOkwLGs5GuzJ8JuegSEQmbhe1W6TvXjizLYDwbgWbYe7p2iSKPj7w8eeDrlmt6kBh+d9Gv2KwbNr783gY+9tpMZ/8QJ1BXTXztfg7w/D3IL727jk99ZAGAfzjaqrxnOy4W16q4Mbf/PsbiWhWa4e9xrmzWkYhIbUFTW2UVlu1iOKXAtF1slTQkotKRg7VZlsHsWPw0f1RCnkuWeEjCdnVpSWBx92kBAsdiajh6rOSGkMTj6szeNW5MEfFdH5gJPv/Lr6/g2YZfBXp9S8Xnvr6Kj+9zQPnFb65Dbd5jX72Xw/RIFIp89LXLUFIJ1s39xLQcvwq2B9gO8Hi10haUvJ6vIV/WMT4UaUugI4ScT0sbtSB4ZqOgIh6RjrWf35p3DaXDwXrLsl2ougVF5vc9R7VtG5//5gbKNR1jmQjqqoWVXP3QeYfIswjJPLTm+e5h16ibNgzTQSQkYHJ4bxLD1+7nUKzoAIAnqxWMpMOYG9//d3/53Q3UVH9t+M6jLUyc4di4c616HKLI46OvHDxXJr3DsixePyRp6CCKLODaERM+AD8Ze2eSeLfsXLvoho0372zgxUtZJKIybMfFV+5t4tlGFTzHIlfUwLMsJJGHaTsISTxiEQnLmzXkCg1cncv4Vcp3+OI312Ha/hzxy+9uYGroeHPDwyxvnm7sI/2t1tDx5nsbiIREiAKLYkUPkjjiYQk8x2JiOOI/K05wNsEwTFsMQCtRRJEFCDwL13XxZ28uYWmz5ncOjki4NOl3nrn3rIiVzRqWm0UneZbBW3c28R3vn+rMH54QciqKLOy7r9DiOH7BmdZexnEsTCaxMLl/QuLyRj2Yc+ZKKgpVDaMHFGu5t1jAN+7nUWsYKIss/uTLz/B3Pn7t0N+dL6mwHffA1zzI0/UqyjUDjuPCsl3EI9KefdpuYJjjJTGTwRQLi20damLhwSsw0tD8tSwAaI6NZ+vVQ8eQfmSaDv7qm+vQTRsMw+B/f2MFL1/NguP6L/bneVZyNTR0G7MjMYji4F3/nacFTAxFMJIOQ+BZPFo5ecfqQdezJI5r167hL/7iL/DkyRNMT08jEtl+cP7QD/0Qpqene3Vp547t+JVaKnUD33iYRzIiIRbdwou7spcsy4Xr+E+KzYKKdx7mwHEcvv4wD5dlEA9LfuWuA6rhtRiWgztPCrBsFyzL4OpM6tCM2eOympsX29ftHPCdhJDn2dkJoPX5g6Uifvd/3IVlu5B4Fj/xqZuYHm3f0H+4XMbiWgX5koZ0PIR0XA7aXHea47i4s1iEZthgGL8aQDK2HcjeGuNarObndxYL+Nq9HAC/AtV3vn8KfIcr5ydjMiaGIsiXNCiygJDE77kecjE0NAubRRWu64FhGEwMb89rXA87gi8Bx3XBsQyuz6aQL/sb+ZlECK7r4d6zoh98xQCzo3HEwwL+55eeodYwwTDAG7fHzl1QkbVrHNr9eSf8+z98B6t5fzH5vuvD+MFvv3zs13B2jnEeujbmkfOtFVzZybnxQdIx/4C9WNW7/rsIId2x3xziz95cwv96awmO6yEaFvDB22OYGIpgq+InFruOh2LVQFQRsJavYWb04HnDymYNf/n1FXiefzixs4I3rbMJ6Y54RMLVmRRqqomoIrYd1NQ1C/eeFuG6HgSexfW59JEORxfXKvjCN9fgeYDtONgq6XA8DwzQN1WwLNsNDqeCz5ucXfPqw+bZu7+28/O3H+bxzqMtAEAiKkLVLJi2B45j8NFXJs8kqIuQo+BYBtfn/P2Aat3A5766jMX1GjiWwY25NP7Gt106cYX3g+x+rpsHPOdtp33da9nnY93rul7bGLRz3PnLry7jc19fQUOzkY5J+J4PzeHW/MWt+kbIRbB7PrF7LnKYnfOuaFjEx1+bhusBdxaLsB0XHMfsOUe1bRv/z395G8ubNeimg2uzKbx2Y/S55wgM479WrqSCZZgDk+TKNQMPl0vwPECWOFyfTe/pmL7nDMU6+Hdbu7+3C3u1hAyq1nhh2y6+9iAHw3Swkqvj1atD0E0Hi2sV5Eoq0vEQJIGDB//+0w0bksDhrTvr+OMvPoPrAbEvPcX/5/96EZHI9nmn5WzP0TwPsF2gU6F9u8e644x9pL9tlVX88ZeXsLJZA8+xeOlKFuPZMCaGI+BYFtlECKWajkfLZXiev09wbTa151lxVKpu4e7TIhzHA8+zuDqdwBe+uYEvv7uBtUIDisQjEZODgo2O47XFI7gePVsIGRSW7eLOYsHvKMoAl6eSHUsAVGQBqZifBCmLHDj24DGpXNPw4FnRn6cyAM8evl/6lbsbuPe0BMAvfvjRV4+e7Fus6H4RDA+QRA5XpwcrOJ30t4gi4vpMCpWGibAsnCiBvdd2ry0HMT7OcRw8XCoHiWSlmg7HAQYth+Ov3l7F599eAwBkkwr+zseuDlwiR7VhYLOkwvP8PfNWk4KLqKd9l0KhEG7cuNGWwAEA3/qt34rZWWpV0ynj2QhYlsFqvg6BYyGJHEzTQb1hBgeYDAPcvpTxg04Zv6K4IPDgORa64eDRUhmO42GrrEE3/Ey6lVwNzj6DcaGiBQsv1/WQL6l7vuc0rk6noDQPoUMSN3AZfYT0k2uzqeAhHlVEXJpK4ovvrAf3sGG7+KvmQ79FN2yUawaiighR4FCq6eB5tmuVejeLDTzbqGKrosFxPGwW28eUWwsZcJzfSjkdD2FyyK8yde9ZKfieQkXDVkXryvVdmU4hm1QQknhEFAFJavN6IaUTMiTBn1bxHINsfPt9IPAsRtLb90erEprAcxjLRDCUUsCyDOqaFQR4wwM2Cg2s5BtBVWzPQ7DhcBq5ohpUkegHN+fb7+GpDnfheLZeCRI4AL8D0UlMDPlzJADIJkN72kkTchStThxnkcSRao5DhS49/wgh3bffHOKr9zaCg/Zq3cRWWQPLMpBFHpemErAcD54HxMLSczvxPGgG+gB+xdOa6n//UCqEsezJgp09z8NGoYGn69VgA5QQ0i4WFjGejeyptJUvqUFQoWW7R36G33u6fS+btgvH89fzDMsgk+iPivLJmIypkeY8nwFuz29XwI+Etg+sGAYYHzq4Qt7EUARMc06eiLZXwru/tL1Wuv+shHLdn3c5jof7z4qd+qNcCDSWd19rP6BUNZAr6c0kLA+r+TqerdU6/vved30IYcW/X2SRwwdujuz7fbcupYN178xYrKfVmZ93BnEcssQjm2yOh0xzfQ9A1W3cXSqiofkHhMWagftPabwg5Lwba56ZAv6ZSOIYY93OeVetYWIl38BWRQsCVxzHQ77cPod7tFLBRsFPxHAcF/cXiwDjHakqMM+xGMv4VSlb17zbZrERXJNuOKjU964Db8xlggJXiaiE2bGD919vL2SD+dZY9my6GxDSS47bnIOtV6Hq1qHf21q7FKo6Grrlr+k84Ov38zAtFxPZMESBR0OzIIkcsskQQhKPdDwEnmPx+W+so5U7UW1YeOt+ru31by9sJ5JemkxAkTt3BjGWOfnYR/rbo5UKPNdDSOJRaRi497SIieEoxjJ+l12WZbBZVINnhWbY+z4rjipf8s/rAT+h6elaDRuFBrxmZXHVcMAxDJhmJNrEUATDaQXxiAhJ5KDIAm7N7999kxDSezvX4q3CUYAfp7A7Tuc0bs6nEQ2LiCoiMokQ5g8pYmnsKPTMeIBpHR7k+3C5HHy8mq+jeoy9LZZjWtsizWQ3SnoknRVR/LOBQUzgAPyzjaPu5fcrx3Fh2y4c14PjerBsdyALuH794XbcU76kYjnX+T3lbsskQkESnyhySMYG877ohJ5GnxWLRfzO7/wO3nzzTZTLZfzmb/4mLl26hP/8n/8zbt++jevXr/fy8s6NeETCi5ezsBwXj5ZKYJq7b6GQgO+4NoJSVYck8sFGQCws4mt3N2Fa1aAql9I8FOU4BneeFoNseVW397SxEXe1ChY6XPk+ooj4xIfnUWsYiIaloF0xIeT40vEQPvUtc6hplt9OlWf3BJbGdm3k8TwLhvEXLVMjUbAsgxcWMuBOWLHjMI7jYnFHsLlpOsgk24NQxrMRfP+3LkDTbcQjItjmAz4k8lCbwbJg/EPqbogqoj/G2n6VgNYYSy6WaEjC+6+PoK7bUEQe6V3BUlMjMT9Zg2EgHlBNV+DZtvaJgsAiJLV/ryyd7n28UWhgacOfvOdKKq7NpBA9QevkTjroHu6UeFQCyyA4HDnp3+FQUkEiIsF1PUrgICdWb24URpTuJ3G0gja3yjo8z6PnEyEDavccQpF4FODPjTmOwZXpJC5PpVBXTSiSAI7h4HkuhputZw+zs8p3IiLh1evDGE4qp3oer+TqWN9qAPA3DW/OZ/qmEwAh/W53Fczd+2sH2Tm/FTgWtxcykAQeAs9hON2dYgsn8eGXJlCu6eA5FpEdaxCGYXB5KgnNsMFzDIRD/tzJmIwXL2dhO96esUUS/KI1ACAKHHh+e+4Tek5XYdJu91h+az5Da6AukSUePLf9XhV4Dkqo83/X8UgIf/+v3UKurCKdUBA6YI/s2kwak0NR2I6LRA+LlDiuh7tPi0GRmf3OII5rdiyO0WYQdGtfRuRZyKIAhkFQ8U05g4R7QkhvxcIn38/fva8Ykrg9a6fd6zD/fMWDbjpgWQYhmYciCx0r8LF77rRfZfXhlIJPfWQemm4jqoiHdiyfG49jJB2CYbptHdEJOa8W1yooVvxOxoWKjlsLmQP3U1prl5DEoVjVwTWTIlrJspIo4APXhxEOCbg6ncRmScO60Qh+PhoS2pKkU7vusVsLWcyOxeG4XseTaU8z9pH+JoscPM9r/tv6SUPVRnvA8t74nZOfNe6+P8Ihfz4dVUSYcQccx2FhIo54s3BFPCLhpSvDuDGXhmE6UEJCxzsPEkI6w3HctrX47nllJ2P/ssmjz09TMQWZhBxUyh/NHF4QUuI5qI6f6MFxDORjXHcqJoPx/H0JQWAh0XhFSBuGYXBpMgHddMBzbMdjgs8Cz/sFmlsJzhFFgNzB5OmzokgCGs0iwQwDhLuwp9xtQ0kFr90cgWE6CEl8z2PXeqln/3rLy8v423/7b6Ner+Pq1atYWlqCafqLifv37+Ptt9/Gr/7qr/bq8s4dnmPxvqvDsCwHxaqOkXQYV5oHH7s34QSew9/62BX8/h/dQ7mmYTgVxu2FDKKKiHhYwmpue7MhqBi+QyYRgqpbKNcNhGXhSNVkjkvkWaTj/VFNkJBBJ4o80jsWH9/7xhxKVQPrxQYmshF892tTbd/PcywWJhNYydXBsQxmRmNdSeAAAMNyIHAcMgl/w4njGEyPxPZ8nyzyezZ83rg9ii++sw7DcnBtJtXVw2eeY0/cdpacD9lkCJrhP/siIXHfZ9/zNiVDEo+Z0Rg2CyoEgcXsWBySwOGFSxk8Wa0iHBLwgRvDp7rOtue2BzQ0qy8mwvvdw52SiMj4ax+ew198dQUCz+JTH5k/8WsdlIBDyFHVgiSO7t93rUNA23FRbZg9raJLCDmdnc/IH/j2y/gvf/YANdXE7UtZ3JrPgGVZhCQehuXAgz/WTA5FMDeROPR1X746BMN0UG2YmByJdqQ1eEPbnmt4HqDqFiVxEHJEY9kILNtFXTORiEhH7qLxgRvD+ILjoaFZmBuPYSgVRq6oQhRYzIzuXT/30mHr8qOOFQLPQdjnWz/84ji+9O4GTNvBG7fHsFXRsJ5vIBEV8eLloZNe8oW0c93oeUBDtyiJo0tuzWdQrOn42t0cRIHFt7wwFnTv7DRR5DAx9PzXPou1yvMYph0EjQDoWEeY3e9jnmfxHa9OwnUcbJY0zE8k8Mat0Y78LkJIfzvpfv7ueddoJgLP86AbNqoNExFFwEiqvXPFWCaCb3/fFP70y88g8AI++MIYNP3w6sHHMTnsJ98ZpoN0Qj5w/+c4+6+KLEKh/A1yQTR2zH1tx4Vu2hD4w+dDk8MxvHx1CE9WKgjJHN64NYZSzUC5ZiAk85htnpuOZSMwLQcN3UIiIuFHvuc6fv+zd1FTDVyfzeCFS3vXKd2ci9FZ5vl0cy6Dcs1AqWYgmwhhejQadARv2f2s2N0Z9DhG0mEYloOaaiIeljA1EsUb3hjke5tYEnmMpEK4MpPGzOh2VX2BZyHwIsIU3kNIXzMsp20tDvjddAoVHbLEdXy/4qjz01sLWXz4pQm883gLUUXE3/zOhUO//8Mvj+PNO5uwbBcvXspCPEYMwmyzI4hluRhOK3S2Qcg+GIYZ6HuDF1i8dmsUX7u3CYZh8Oq1Ybiud2D3y371iQ/O4o++sAjddPDylSGMpAevK8p4NgLTdqHpNhJRaU+S+0XSszvq137t1xCLxfDf/tt/Qzqdxs2bN4OvvfLKK/h3/+7f9erSzi2eZ/HhlyaO9L2JiIyf/r9e3PPfHdeDwDHIlTQIPIupAw6Dp0ZimNr3K2Q/ruuhoVsQOJYORUnPyTKPn/jUrUO/JxmVkexiUoRl+xulosBBEjikYrL/v7h85EzeeETCd78+c6TvraomGqqJdEKh7j7kxDrx7BtKKhhKtlfLvbWQxa2F7Clf2ReLiChW/apSrco4wPm/B964PY43bo/3+jLOnGU70E0HisR3LdmOHE+rAlb8FIckRyXwLBJRCeWagUJFpyQOQs6J0UwEP/O3Xt7/a+kw4hEJksBBFDhsFlWounVgAQRZ5PHRVyc7en2xiBiMdSzLIEzVrAk5Mo5lMDceb/tvddUEyzJQDukkocgivuP97SuR4VTvOnBsFlVwLJBJnO01JGMyPv7GTPD57r9LcnTxiBgEzdNY3l08z+LbX53Ct786Bd2wYTnuQB4adpok8hB4Brli8wxin4IunTIxHMX//dcO3wclhJCW/eZdDMNgep+zUtt2kS+rUGQB3/n+aYxmwtANv2tYJ/doBJ7d062orllgGRw6hyRk0BxnnWE7LjTDhixyz+04EIuIyJc0AP79dNSAtFvzGdyazwSfRxRxT3ArxzKY31Vg42f+1ktHen1CjornWXzk5QmkE6EgSTAWFrFRaEBoFkbd71lxUizLBEHOdc2CZtiYHYsH/40QMrgkkYckcDAsf86qyDzCIQFKs5NcLxMBv+8jC/i+jxyevNGSSSj4njdmT/R7JIHrSLEr4mvFfYUknhJJSd/gORa3F7KYH08AQFtXjkEy1Oq4adg9PQ86DY5jsfCcgoSDwHFcqEdcfx6kZ9HiX/rSl/BLv/RLGB4ehuM4bV/LZrPI5XI9ujJyGAYeciUNT1YrYFi/8jg5Od2wUa4bWMnV4boewADz43HqMkIGTqVuwLAcJKPSqVqwAoBm2Li7WITtuOB5FgvjcdQ0CxzL7Alu74Sn6xX81dtr8DwgGhbx8demj5WNT8ggGUoq4DkWarPyUzgk4Nl6FZ9/e5XugXOmrlm497QI1/UgCRyuzaZO1ElEN21U6yZC8sVuX9gprcDmWPhsEioycRnlmoGtikaBjIScc5bt4s5iAYbpgGUZ5MsqCmU/cXNuPI6FiQRiEbFrna9axjIRiDwH3bSRisld/32EnDd1zYKqWYiGRazm6kEC9uRwFKOZ8HN+uvf+99dXsLRRAwBcnUni1WsjPb4ichJj2QhEgcbys9LQLCxt1LBV0SAJHGJhEZenkgN5eNgpHMsgv+MMIn3EzkSEENIvbNvFn7z5DMWKDjDAazdGcG0mjXxJBcsyyHbhnKPl8UoZhYo/hxwfimA8e/RqnHXVhKrbiIVFKjhH+spffm0Zy5t1AMD1uTRevnJwpz3DcvD1+zlUGybCIR4vXR46NKFpZjQGRRZgOy4yiRAFGJKBxDAMrk6nkC+pYBgG7z0p4Ct3NgEAtxYyeOHS0QvFtc6EFJk/tDPMk9UKtsp+AtRYNnykrn+EkP7GsQyuzaaQL2vQDRv5sopvPsrDc4HpsSiuzaQvRMG4cs2AaTtIRo9eYJbstTvu6/pMitYYpG9cmkzgwVIJLMvg8mSi15dzInefFvDVeznA8+O3v/P9U2BZGrPOmmU7uPOkCMPyz+evTidP1F2xZ6OjYRiIx/cPJNI0DQxzcQ8pTqqhWcFhz3BK6crfYalmIF/WEA2LcD0Pb763iURUxkhaOVbgtuu6eG+xiIZmYXYs3rcZYTXVRLGqIyTxHQ8e1wwb7z0poKaaWM3VMZYJI6KIWNtqUBIHwaOVErbKOkbSSlu70X60UWgEQRqrPIub85lTLWbyJRW248L1PGwWG7BtB7cWstBNG8u5GiIhYd97xLIdbBRUAMBoJnzkjdZ7T0vwPP/jWsPESr5Bga5kYDiOi42iCsdxMZwOQ9oVpF+oaKhrFmJhMeie0+ps03LvWbHtHljarGFhsjMVeU7Ktl28t1iAZti4NJnYc89X6gbKdQOKJFBC6QE2Cw0/QRT+wVWxqmMkfbzAP92w8d5iAY7jv878BCWanoZp+Z1RAD9h6iyk4yE8Wqmg0DxMIYQMpq2yikcrFYRlHtdm0uCbc+1SVUdVNRFVRNi2C6M5xtRVCw+XykjFZGiGjS98cw08x4LjGNyYTaNcN/B0vYpYWMSVqWTHuzVlKNCSkBMp1ww8WC4Bnl851nFcSM3g+bWtelsSR6mq48FSCZLI4eZcJhgXdnNdD5tFFabtIJsItQUvOa6HzUIDtuNiKKmc+hBN1c1gbwAA7j8rURJHn8uVVGiGjWRURmzX/JTG8rNRqRu4v1TC07UqLNvB5HAUddXE+lYdyZiMm3MZMCzT0Xv1JFzXw0axAcv2r+GoFapPqlTVkStpwbrp/tPSgYFnnucXndJNG+mYfKJDMkII2U+uqEJrJjQet7DJeqHhJ3AAgAfcfVrEwmQSHoCn61WUajquzaSPfU2G5WCz0ADHsRhJKXvWcqblBAkcALCWrx85iaNY1fFouQwAwdrxvARZtfaSw7JAc5wBVFfNIIEDAO4uFg5N4ljZrOFr9zZRbZgISX5hots7Op3vN3c4LE7BtBxsFlUwjN8BtZ87XpdqOqoN88BzVHK+CTyLsWwE5ZqOjUIj+O93nxafm8RRV00UqjpYALmyFpwJZZMyWJbd854yLSdI4ACA9a3Gc5M46pqFQpdjmQ7aQyWEHKwVa+C6HoZTCkSBw3g2gkcrZdQaFkzLBQBU6iY2i+qZJXHsfP6OpI8e+7Ofck3H/WcliAKHG/MZiIeMDWv5OlZy/rxjXWzg5ly6a8/+sxgXe6kV9wW0uhRqe7qWEdIrD5ZKeNY8y2AYBtdmBq8DzzuPtnB3sQDTcjA1EsMLl7LHjgcip1eo6EEHq9Z53EAlcczOzuILX/gCPvjBD+752ltvvYXLly/34KoGl2E5uNustgwguEE7TRI4MAzgeX5gKM+yWN9qoFTTcWs+c+RJxVfu5fDgWQkAsLhWwfe8Mdt3Gbuq7lewbgW22o6LsczRK9Y8T6VuwHU98M2qajXVQkQRKZOX4NFyCV96d6P5cRkcy/b1ZHbnoYBlu6irJpI7AsSPq5UQtllooKZaYMHgK3c2wfMMOJbFZvP7dm9A3ntagmb4bWKrDRM35o52CCKJ7UHvIel0nUQIOUsPV8qo1v3K/qWqgVsLmaBaZ6Gi4fFKBQCwWVBxeSqJRHTvs1bedQ/0Q5XVL723jqdrVQD+weZf+5ZZKLI/0a2rJu4v+cFtAOB6Xt8mg/bS7vnESeYXlYYZbNYD/mEuHf6cXE3171WWZRCWz+Y+S8f95/HWjmc1IWSw1FUTf/bWMmzb3+yuqRbeuD2GUk3Hw2aAzWZBRSaxPf/meYDn/PmAZtjBM8BxPCyuV/D2gzzs5viu6hYFWRPSJ4pVPZjjAkBDt4Mkjp1zOd208adfXoJp+xvDlbqBj7w8ue9rPtuoIl/yAyu2yhpuL2SCNffiaiXo9LFV0XF7IXOqA1Ge9ZPFWvPHk3SBI2dnZ0GOXFHF9dk0wqGDKxST7ijVDMDzn9umBRRrGh6vVJGKyljNN1BtmBjLRoJA4E7cqyfxdL0aBGkVyjpuLZyugMvzSCIbnEH4nx88nqxtNbDaDLDIFVXcnM90PcmEEHL+7QzeyhVV3JhLH1rJf7fdZwySyGGrrOJzX10OxjbTco9VGd1xPdxbLAbBAXXVxJXp9kATjmXAskxwVnycsbq4Y+/IcTyU6wZGzsF4Wm3s3UvuRsd30j0i377O2H2esdvT9QqerreSyw08Wi61JXGs5utYy/sB7rmiilvzmQMTllzXw92nxbaiGVf7NMCrUjfwcKkMAAeeo5KLQRT4trn08+4ZzbBxtxkTU6oZcF0X6XgIqm7h7Yd1jGUi2ATgugiKqh33eaObdtA5HvDjCTod+3DQHioh5HA7Yw2KFT2INRB4tm3vgWv+t7Ow+/lba1i4Nnuy569p2vjTN5eC1yrVdHzbq1MHfv/O2CfDdFDXrK7EMupG98fFXttdCJxiIUm/sB0XdxaLMJtr63d1C1cGsCvy1+/nsN4sdF2qmvjEB+d6fEUXUyfisgCgZyPkD/7gD+L3fu/38Lu/+7uoVPwAQ8uy8NnPfhZ/8Ad/gL/5N/9mry5tIKmaFTzcAX9R0g0RRcQHbowgHBIg8jyuNYOkdcMJMiiPYmdmvuN4yJfVjl/rcZmWg3tPi/jGgxxW83XUVStY3AL+xkwntQ6TJJFHNqkgogiIhUXMjHY++YYMlo1i+/2wWfSrqT9eKePr93N4tFJuu997TdkZiMrg1NWZhlMKMokQHBeIhUUkohJqmhlMoAB/430ny3aDBA7A70x01L+jD9wYxlAqBCUk4OZ8GqMdTNYipNt2PpsMy2m7T3Y/t1oB5Lu97/r2PXBjLo2JPtggKJS3N0hs20WhYgSf11SrLbjtoD9XpzU0C+883sLbD/Jt85h+NZ6NIBWTIYkchtPKiQ5sdge+UCDM6bSeXbGweGbVVFrVBQuV/n/PEkL2V6oZweEjAOSbz6Cdz/m6ZuHRShnVhtms0h3Gd702jagiIhWXcX12O7lZM5wggQMA8iVK8iKkX+yca/Eci8vTScgSh3BIwMJEIvhauWYECRwAsFnUcHdxez9rp51jheN4UPXtdfPOefTObj4nJYo83rg1hqgiIh4R8eGXJk71eqS7du6reJ7/LCFnTxI4rG810NAtqLoNBgwiISE47Nmq6Kg12u9V/ZT36km0jRdO+x5cNyiyiNdvjSGiCEhGJXzwhdGDr23Xe7lB72VCzj3bcfFgqYSv38/h2Xq1K7+jqu4eW4437mUSCl64nIUS8js/vHZrDLmS1nbm2Eq0PSrLcoIEDmD/c2COYzE/EUdI4qHI/LG6LYfk87kPWFfNtr3kTp/1ku4TRR6v3xoN1hkfenF7nbG2Vcc3HuRwZ7EQ3B8cx0KWOHAsIAkseK49gHDne8DzgIZ+8HvCctrXSWd1FnESu69t9zkquTgUmce1mRSqdRMN3Tq0cw2AtpgYUWCDub5mOG3FGXa+xziOxcJE4sjPG1W3d8Uydf79Wajo++6hEkIOt3NNbVhOsOc4kY1gYjiCkUwYwykFUyOxM0sy2PP81U4+ZlRVs+21nlf0buccmGEOLypxGg19d4xn58ZFZ8d6aXGtAs/rTWxZK+5LEjlkkyFKpCZ9w/O8tvuvn+Ivj4NjGQgcA45jIMscqqrx/B/qM2exv9Nt6XgIw2kFksghFZOP3A11t57twPzwD/8w7t27h1/91V/Fv/k3/wYA8EM/9EPwPA8/+IM/iO///u/v1aUNJCUktGW7x8Ldaxu+MJnEwmQSdxeLwUQiJPHHqgCWTYSCqi4cxyCb6P3DemmjFmxorObqmB6NtlUp6PTfaTwiYWYshnLNwFg2jPFs5Ny1RyMnM5JWggr0ADCSCiNXUoOs72JFhyLzHe0McxpTIzGwLAPDdJBNhk69uc+yDObG4wC2E76iYTHoWgPsvR8FnkVI5qE1A1IiinDkLFlFFvFdH5g51TUT0iuxsIhyzZ+MSyLXtqEaDYvY3JEUdtBzrB/vgaFkKJhjiDyHdHy7wkU0LAIMgsO3bs55dnq8WoZu+Js8T9YqiIXFvq4uzHEsFiYTp3qNWFjE3HgcxaqOkNQ/z51B1apkc1bvWWC72trOxChCyGBJxyXwPBscQra6T8XCIta3GnA9D+tbDYymFUQUERzH4NJkAgzDYGEiCdf1sJqvQzNsJKMyWAZ4+KwEq1mEYShFVRkJ6RcjaQWe56GuWUhEJAwd0G0uEZUgihzM4ADSC+bOq7k6oooYzDdiYTEIwOA5tq0IQzQsBntzAs8+tzrnUUyPxjBNxUkGws61JMMAUYW6cPSC63kQRRYRT8RQ0g+2+tJ7G8H9PZQIIRYWgz1BgWcR6lIAwWFiYRF509+j43n2TAJ758bjwf7gYWJhMdjTZ1k/CYYQcr6t5uvBM2yzqCKiCB2vNh8Li8E+DsP45w3HdWs+g1vzmeDzoWSo7cxx+JhrMVHgIIlcEIR20P5SMiojGT1+p/TRdBie5yf9JqNyVyoO98LuveSocnb7cqRzZkbjmBltnxfUVRMrm34Su2m5eLZexeWpJC5NJnH/WQm64UDkWVybaQ8uj+6aO4QP6bIjNBNCWucC0TPc1z0u/73dCD4/yz1o0l8s24Hjenj1+jAAv0DM1CFNeFtn6q7rISwLyCZCEAUOsbCISn07GHD3eyoRlZCIHu1ZEd4Vy9SNsTiblPfdQyWEHM6/1/3noiRyEJvdEziOxaVJ/7l61kS+/fl7mmdaTBERkjhozdfKPmfdMDMWA8+zMC0HwykFstid/Y/d42Inn9trW41gvZQvaYiExKCT0lnaGfdFSD8ReA4LUwmsNtcSUyPRgevCAfhrJNP2xxBJ5AbyXGY11/39nbMwPRLD9CHz7aPoaRmNX/mVX8Hf+Bt/A5/73OdQKBSQTCbxrd/6rXj55Zd7eVkDSRI4XJ9NoVDRIQncmTyAL08lsFlU4XoehlPhYyUgvO/6CCKKgJpqYW4s1hebgbs7iQg8h2szKZRqBkISH1Qy7qShpELZpmSPhYkkOJZFvqxhNB3GxHAUy5u1tu/ZWUmi1ziWwfRI5ycDM6MxKDIPy3aRTYZgmA6qDRORkIBkbO8hxNXpFHIlFQxoY4ZcHPMTCWwWG3AcD8MppW1xkYrJuDSZQF2zEAuLffGsPaoP3BxBJCxCN2wsTCSgyNsbF5GQgKvTKVTqBhSZP7NJ/M6q5fAAZ0Az8o8rkwh1ZQ50Ee3sxHFW0nH/eblFnTgIGViKLOJjH5jGo5UyFFkIgg/iEQmXp5Io13Souh0ELDqOB8/zA40Af6N8d4Wsj746iacbVcTCYk8OYQgh+2MYBmNHqNIjizw+9oFpPFgqQRY5MCwDdUd16J37W1MjUUgiB8t2kUmE2trYz43FEQkJsGwXQykF3DGKs5DBN5IOg+fYZpKfBOWQ4DXSPbbtIh3bXm9xHIvvev8UHi6XIYscrs2k/eDC5r2aTYZ6cq9Oj8QQkpp7dInQidvCd8NYNgKB56CbNlIx+dQdggkh/W/32YjVhbOSsUwEAuePLcmY3JHktUxCwbe/bwpLmzUkmuu542BZBtdmUtgsquA4BsOp8KmvaffrTwz1vkNzp0UVEVemkqg2TIRDAlL7nC2RwdS2X4/tsWA8G8H3vjGLtUID2UQIs2PtwYPj2QgEnoVhOs+dO+y871i28/ddJ8UjEq5MJw89RyX/f/b+60eyND3zBJ+jlWnhWruHzBBZWVVZWYIsssgqsptkq50ZLHZ60Vj0gGhsL+/6H+hGX/ZNo9nYAfZmF1gMZhe7s+BwenrILuoiS2dmZIYO19pNi6PlXnzHjpuZK3MdHnF+QCLDI8zNjpmd7/te+bzvB53YYIf+Gph+JIHF3Zkc6i0TIs/21Bk1VetC9s+eWiaeuZT6mKNiqDExMcezMJnFXk2D7x+sNbguKKrr/KWoc9X+8DyL738yg1erNfAcgw+6ppYfBsvQmLmCQmiRZy9tX+zf9086B2Ji3kc+vFXEaF4BBRwppvW2809/+x7+5Ker0AwH3348hkzi5tn/jnf58Z2bwrVEtE3TxPe//33863/9r/G9730PH3744XVcxjuHLHKnTriZlotywwDH0pFRsFfT4XokKXRcVynD0AMll4/i3szxxtFVM1pQoBpkZJkicUgnBDA0hUSsynIiquGg3ro8p/t9ZHYs3RNYLGYlVBoGHNcH27Ve32ZKdR2W7SGbEg9VwdNNB9WmCZ5jQhWqXoeQpimM5PcDoiLPHluEzrH0mcdSXQZBEGCvpkcJ7jiJHHMZMDR17HSEbEq81mB9vWWirduQBBam7YGhKQznFTAnBIBomu5RqusnpfBXriQ1VlCwvksa6nIXlLx9F3FcD7tVnXzXcTFgDy2NqAhc5b3bacCpnjAeOCYm5u0mmxLx9ftEwsPzfGyX1VBMQUYmmQZFU9itaGioFrIpEZbjHXtODeXknqBkS7PRaJtQpJupcBIT8z6STgjRvtBoW3izUUcQIIpndaCoXr+6P37T/W/deH6AvaoGL0zgXvYEuv745NuQMH4fiJu1r5+hnIxq04Tr+eA5GoWMBIFjovXd4ai12s9lnen9MbrOXtJf5AUAbd1GvWVCFrkru8euQ1EyJibm+hjJK2ioFjwvgMAzZ9rvfD9AqX587L6zt5TqOuot88g8x2mvfdA9/TB4jjnQpP++4PlBJGY0lJMhnMI+TSeEGyVwFHMypuWiqVmwHQ8sS4d5kv21NTGcxMQxa+W0OdYgAJnmEgQgo13eLjr2lyJx7+0eEbOPKLDIpcVo8mYhI2Fjrw2WoY8s0E5I3KFn3CD7Z7VpQDMcZJLiYLmPgOTQTyMQOyjdMdSYmJjBOKnW4LrgWObCGoxTMt+zN6i63SPm3NnHrtpmPEuN5yAM52TUWibxlzgGhcz5akXKdYM0tyeFuH4y5p3BdnzsVFTQNI1cWgR7A2taeJ7BNx6MRnGNm8hIXkHznPGdd4VrqT4TRRGWZUGS3t8P/m3AcX08X6lFXZeG5cLzg8ihqzQMPFoovDfFd+mEgEcLBTiuD0lg44TxgBiWixcr1UjRwXX9czX3xByOyLN4tFCAYXsQeeatNyC2yyo2S2T02G5Vw4P5Qk8hme14eLFagxcq5Vi2i6lLmOZxnazutFCuE+Xzct3Aw4XCW6VUGBNz2VSbBpY2mwiCAKs7LQzlZCgih7Zu48507rov79SM5BVkkgJ8P4hVao/A9wO8WK1F421buo27N/C7viz2J3FcXQAwHzZxGZYL3XTiezcm5h3gzUYj2k9qLRMP5wuYHknBMB3Yrg8EwPOVKh4tFHoU949C1W28XKuRYgSQwpib0DAeExOzTyYp4PGt4onxLNNy8XK1Bj+cKHdc/GZxo46m2rvXXFac7LD4ZL9abkzMu4oksHh0qwDT9iDxzLni8Fd1pvfHgh3Piwo+NMPBy9XafpzY889VrBwTExNzGIrE4dFCMWpeP0ks5jDWdgeL3XfnOfZqOh7M5WOxpmtieauBeosIpFSbBh4uFM/03cfcfLr9B46lkVR4LExkLqXx/CbEu1XDwYvVLhswbHSKeb9ZmMhALxDx0jcbjUjVWDcdzE9kLux1SnUdq9stAMBuTcf9mdyhBb6W4+H5yn48wnK8uOEoJibmWtBNcm524halug5VdwCQfezeTA7JG96oIIscHt8qXkisaaeiYWOPiFzuVjV8MJePc80x7wT/5WdraIe51p2yit/5ztw1X9Hp6YlrhDXeb3staT+JC4jvvCtc2zf3ySef4Mc//vF1vXwMSMKle2xWS7OjDQogQRDDJkGJ/vHEl0mpruPJmzKer1RhWu6VvS5AVGwUiYsbOE6Bqjs9Izlbun30g2POBcPQSEjcQIeu43p4tVbDkzdlbJfVK7i6XrrvgyBA5Ph00EwnauAA9gtbL4Or3L+6aXd9Bq7nw7ji/SzmZuC6Pnz/3RwJ11nXrucTmyJcA5e53gEy3vnLxQq+XKr0rMOLQOTZODBxDI7nRwktAD12ZUx3E8fVBf9EgY0UtDpOfExMzM2g1jLxxWIZz5ar0M19W7rbzjYtL0rCOi5RVfI8H54XQDcHsz3buhMl+oHLP6djYt53fD/A8lYTT16XsbzVhO8H8P3z+wSDxLM602c7HLfeu//Nsj3YrnfkY8/LYfHJmJh3Cd8PsLK9v+5tu3c9sWG877xCSv1n+mX5YwdiwV2v09btnn+7aJ88JiYmpgPHhnvnGXN53XvXUbF73/fRaJtdPwdQDefA4wbFdjy87ORsKlefs7nptLX9z952fFh2nG95X+n2HyiKguP6lzY58LTx7o6g1ZPXZSxuNuB1+V/A5eQrVd2O4zrvEBd5j8giB4RrpMNZ749un2ZpsxHFFnrWRBD6JIeg9cUjYj8hJibmqunsr/0xjb2avv9DcL5Yiuv5eL1ex5PX5ajx4bq4uFjT8XVfMTE3EdN20dZs+EEAPwhQb1vXVld4HlpqV1zDvZk1iZ7nY3WniaWNBrZK17tvXjfXJhfyL/7Fv8Af/MEfgOd5/OAHP0CxWDwwMi+TyVzPxb0nSAILlqGjQEdK4XsmcbAsDSDAf/rRMuptC5mkgN/8eAoif3m3jWm5WN1pAQFJEi9vN3F/Nj/Q7+qmA4ahD4zQ7Wy+6aQI/ppU8JuqBdfzr23sj+8HMG0XHEsPpMZ6GhIyB4pCZOimbnhX8rvC2m47Us3cLKlQJO7Q0X+eH5AAH8I1HwAURYz68wQ9UzKPSk2HaXtIKhwScm/RsyKS4pJOwCZ5CQWtOxUVf/PZNmzXw63JDL7xYPTCX+M4kjIP0yIFsyxD90wiiYkBgE9flfB8pQqWofHtR2PvnOpMSuFRrhtgGRocu78GLmO9d+ioCnX2ljfrDXx0d2jg3w+CAIbVe17un6EMmpoF03IvZHxr57XOu9++TXAMDYFnYIVFSTddqeSiuY4mDgAYyslQt5rYq+mYHn23pl7FxLyrOK6Ppc1G6GN5WNxs4NFCEQCQlHi0dRu66YDnaDA0BcvxQFHA569LZAy4yGJuPA3ddEDT1LE+vCIyaGkWeJaBKLCxPxcTc8ns1XTs1TQ4rg/dcrBZUrGx1wJNU/j6vWEsTGZ7Hj/IOu7H8zxsVzQoIodcVxxKkXrjN8fZ5UmFj5IAAs+AP0UsybBcUBQGvubD4pMxMe8SpbqOct1ArWXgT35aQVLi8PBWEd95PA6gK3at8DBs78wx5ITMARSiIr6kwsO03QufJqlI7JGx4KTM915DbFfExMS8paQUHmX76Nj985UqPntVgmo4GM7JGM7JcL0AAs9AN50z5dper5NJZxxLY3NPRVLmD+yTR+U530ZU3YZpu8ilRND05edeEzKHRptM4uA5GsIl5qpjBmPQ+LZtu2iGtg5/Ad/bRfoPtkNsL4am4PkBJIHtqVc5LN593PsuNwyUwmJQq+lB5BlMDCXRVC382S82oBsORvIKfu2jibAO4/wk+u2v2J+6sfzo8y2s7rQg8Ax+7aMJFC9gqp7IM2BZOipMTEgsKg0dDE1B4NkD97zlePA8P/IfPD+AabloqFYkEmU1PUgii7FCAkmFRzWsLQKFA/UAHWSR7akLUCQuPE+ZQydhxcTEXC83ySYdhF+82MXLtTpYhsZHd4Z6YhpDWRlap1GbwqHThAZlY68d2as7FY00UbA0bNtFIXP+Pf00dYeu58OyPYjnVLZPynz0nqhj9vmYmJuEyLPQLQdv1usAgHsz+Quzza+SpMKjstWA6XgYzkqXWs99WWyWVezVdBimC9V0oEjctdVWXzfX9u39k3/yTwAAf/iHf4j/+B//46GPefHixVVe0nsHx9K4N5tDua6DYxkMh6M1ZZGF6/oYysp4vlpDPTyQG20LT5cq+Nq9kUu7Jtfze9QinAE73RY3G6T5hAJmRlLRmNBKQ8cPf74B1/UhSxx++5MZyOLV3vZP3pTx5WIFADAzlooSdFeF7wd4uVaDqjugKODWZBaZ5MFi/rMiCSzuzeRQbZmQeDYe0fqW0K1iedjPAJnW8emrEpY3m2gbDiSeFG4JHIPRgoK58fSZD8cAwIu1OizHw0hOxlfu9u4bPMfg/mwOlYYBntvffy6Snz3fi9RC32w0MD+RvhDnaFCmR1KQBBa246GYleMgVEwPTdXC8+UqANIV/fNnu+9cE0dn/1ANB7NjaViOB5qmMHKJ50QQBD1qPq7vw/eDgSZs+X6AV2t1tHUbFAUsTGaQknm8WK1BN128WK1hs9QGy9CYHk3hf//9O+e6zjcbDRL0oID5c+y3bxM0TeHeTA57Nf3Sv+ubyHU1cYzkZSxvNbFb0670dWNiYs6O5/k9alDdfvHtqQz+4pcbeLPRgCyyaLRt5NMiNksqai0LSZmDLHL4y083MDVMGremRpIYySsHXsd1ffz46S429tqwHQ/ffDQW+3MxMZeMathY3WmFkykD1NoWckkRnhfg5y/2epo4lreaqDRIkcRR67gf2/bwP/zpS2KPUcBvfXMmagI7Tfzm1kQGuzUdvh9gOCcPPLF2dacVFS1NDCcwVkic+DtHxSdjYt4VyLRrFz97tgfVcGBZHpY3m5gdS0MRWfzpz9Zh2x7qbROKyILn2DPFkJMyjztTWTRUCwmJg+34+OINiUkP5WTMXFBDtyxy+3uJwGKoq7hMkTjcnc6h3jYhCxyK2Zvv58bExLybTI+kIPIsHPdg7N62XXz6qgQERIxqu6yCZ+nIz8qnJHAsjYXJDLJJ8cTXCoIAi5sNvFqrw7BdDGdlpBPCAaXPo/KcbyPLW038+MttBAFQzEr4/sdTl97IMT+RwV5Vg+cHGMrJ5ypGizk/g8a3m6qFP/3pGizbg8Az+ME3pg8VnDsNF+U/1FsmFjcbaKoWWpqNsWICuZSIW5OZqKi9P949nJWihqzD3nf/unY9Etz5/HUJelggulvVsLzdxO2p3gb+s5KQuMgGVEQOhUxsf91ENvfaROgUROj0ly9L+O1vzpz7eVmGxv2ZHEp10rjx5VIFm59uod42cWc6h1uTWdyZzoKmKZTqeiS2mkuJmB5N4vlKDZbtod62IAtM1EDXiVUOZcl+rBoOMgnhyCZukSfxiErTAMfSqDZM7FXJuroznY2bv2Ni3iJukk06CI22iZerpFDbdX08Xa7i+x9PodYV06g2jWgfO08Ot7++8cVaFctbZF8dLybw61+bPPNzn6buUDcdvFytw/V8CDypyzqr2PNoQQHDUDAs0rx9kSIhMTHXhe36MEwXNEUDVGdimH8l4gQXSbWp40dfbMP3A8yMpvCVO4OL274tlGs6fvJ0B55HGurHC4l3om7qLFxbE8e//Jf/8sDkjZirRxJYTI3sJ3Bc10e1acKyXWRSIny/18joLiS5DBSJQyoRqv1RxCA4CcNyo+khCEiXVseQfL5SiwImuuFgabOOh2Hy+iy4nh8lo4dyMtgBRo89X6lGf17dbuHDW8Vzde+elqZqRSPNHNfHk8Uy7kxlMZQdPAl/EgmZv9L3FHMyIzkFbc1GEACSyCJzSFC0EgZIPD9As22hTZOkRELmkU+L2CqpcFwfruejmJVhWi5amo2kzJ/YCPRsuQJJIAoepu1hfad5QFFUFjlMjRAj33V9vFitwPEC3J7MXMz91LdfXfb+1Q9NUwMV2cS8nwR9N2TQf8O+I+TT0gEje3GzjnrLwuTwYIVop4FhaAzl5OisHjlFwVlLs6ORoEFAFDLcTADdJGMHX6/X4bgeZIHD67U6fvlyD3NjaWRTJydr+1ENJ1KtQABsldV3xhnhOeada0i6KK6riWM4R9ZZz0jgmJiYtxpRYJFLiai1iJ/bKYL2fR9PFiv4xfM9CDwDWeTwar2GxwtksilFEdufooCWagHD5Pk2SypG8gqCIEC5YcB2POTTEqoNA+W6AZFnIfIsNvfa+Mrtmxfki4m5SVCgen3VLr/A9wNUGzp0y4MoMFEDBwBsl7WBbOfFrUZ05vsB8NOnu1ETBzB4/IZhaIwXT27A6MZxvcgOB4CtkgrT8lBtGpgYSmD0mIaO/vjkUQRBgFLdgON6KGRuprpUzPtHMSPhyWIZnh+ApgCaASoNA3tVDbrlwg6VnTt+4WiePXMMOZ0QosLIX7zYi/6+VNMxVlDAcwzKdQOm7SKfPnvy/bi9JKXwV+7zkGJKC7NjqSsVcImJibm50DQ1UP4RIDZaLi3CMD002zZ4lkE2KWK7rA3UxKGbLuotC9mUCLOiotY0MVpQkOrK2eim05Pn3Cqr4DkGbd2G43rgWOZc+zZAClVerFTh+QHuTufOJXj35VIlMmPLdQM7Vf3UtuNpYWgKY5f8GjGDox0T31Z1mxR8iyyWtprRFAvL9vBqvY6P759fLHJQ/+E4tisagoDkShuqhQABXI+IXK7ttuD7Ae6Ea6UT727rNmngAICA+Gndcf18RsJeTYfj+mAYCkNhQ6vfn68cTMNyYLptwJibSX+G8CJz2mK4XrbKKioNE23DgWF5eL5SRTYlYlRTkEkK2C6r0YXUWiZoGtH6TUgsmpoNgSeTcLobuQ/LAx6GInFQJA6VhgHDInk33w+wU9GQnCL+Q0uz0VQtJGRuoDP2baUcNsRkk8KB+oiYmLeZ/tq7rbIKReJQa5mQRfbCc9mdmoGpkdTVibr4wYGJeIPuY4fR1m002kRMYySvoKXZ8P0AosDgxUoz2le3yiqqTePMr3OausO9mh6J/Fq2h0rDHNj3OYyhC5gMFfNuYVouKk0DPMugmJVuXP235/loGzZsj9g5qmGFwrDXfGGn5OcvSlF+pFQ3sLrTxvxE5nov6pSUm0bkGzmuj7pqYgYXI0R007i2TNcf/MEfXNdLxxzD3325jfXdNgBgbaeF3/jaFLbKGtqajaTC44O5wqW+PkVRuDOVhWY4YBkaonDyLcrQVM+YUJbZPxz6x5jy7Plu+Vdr9WiUWr1t4YO5/Im/wzI0vHDjpyhc+Qimzuv5QYCNvTYEjsH6bhstzb4wlY+Yt49MUsDjW0VYjgdZ5A5VJWIYKvp7mib3aqfYmaIolBsGzDA4s7rTAkNTYGgaO9BwazJzbOFy/2jFkzq7/+bzLWyVVfJaW0387q/Ogz/nWvno7hB+9GQLnhdgbjx9IWNnY2IuikxSxO3pLF6v1cEwFD66O3zdl3QlPF+p4tOXJQCkyOK3Ppm+8AKLmdEUihkJFIVTJTa77QfyMw2W3f872/Fg2R58P4Bhe6g3TbwJ95fTqlv1N4EO0hQac/NpaSSxefVNHGSN7VXjJo6YmJvEwmQGquGAoSlIoV/88+d7+NEX29iuqPD9ALbjQxJZUoCUJ02MNEVBEdke27dzxm2WVOxUyFSevZqOkXzvGXxWNaaYmJjBkSWisG87PniOxoTtYrOsgQJwayKLpS2ivOn6PhzXhxQG4RlmsESI1BdHE/irszPpsJmsU2yyU9Hwao0o3b1ar+P7H0+fOyG7ttuOGkVKdQOPFgqxLR3z1iMKLO5N5+B5Pl6t19FsWcgkBLhegHJ9v1mLpqiuuNz5Y8gMTUWTKimKFCxvlVVslUj8ba+m4+FC4UAM76bx+esSni6RYobFzQb+3jdnkLnBBV8xMTHXD8+zeLxQwJNQ6faD+TxoigZNk8qCTk6lP5Z4FAxDcpgJicPMaBo8S+P+bL5HeIZl6J48p2G5eL1eR7VpoNo0MT6UwF6NP9e+/Ze/XEepRs6d9d0Wfvfbc2c+awSOQbvn59gee99g+mxwJqx40k0HL1ZrkU+gm07P494mu6PjY7V0C03VAs/SsB0ftZaBlkque32vjd/7zmykytufa+330wSOwcOFAgzLhciz0ZSfr9wuotY0YFgeilkJ8xPpy357MTeMyeEkxocS2Cqp4FkGX7lzdlHSo+js1brpQjUcyD6Ljb02PpjNAQjXtRNW0VHkPOzAsQzuz+SQD8UUuHP4Kv3rprOu2rqNl2u16Cycn7iZE+yrTQN/+tO1aB80LPdcIrMxMVdJf+2d5wd4vlKN7mfH9S9MoPHZchWfvbrcmgHgkJqMexcnYtXWbbxY7d23Hi0Uohqtle0WHDds/qQA7hx20GnqDk+yV2JizoPjekRQPWwUMmwX0+dsrr5qBI5Bs00azwFA5FiwNzA/yvf5ZOcRarguMoqAoZwE1wvAMTSS0vs77efmfXsxR7Jb1VCq6xA4BrNj6QMNDIOwr9YXYLOk4YulMr5+bxi5tBh1b1WbBrbLGhiGwuxY+kCC+LxQFHUqlTGeYzA7msZmqQ2WoTE7vh/4+PB2ES3NQkO1MZZXcGvq7EERzw+iBg6AqIx4nn8gUNXPdx6P4afPduF5Ph7fLg6kEmhYLla2m/C8AONDZHzrWUnKPMaHEtjcI59Pp5inowYd8+7Cc8yx+0AxI+HOdBbPV2sQeQaKxIHnaDA0jXRC6EkitFQbisxBCgtAWpp9ZBPHZqkNkWcjhUGBJ4pRLc0+ULjq+QFWt5v4YrEMhqGRVnjolou2Zp07MDM5nMR//b3b8H2/J9B0FoIgwPpeG81wHPHMWDoe1x1zIr4fYG23hbZOJtjMjKZ6utA/vj+CDxcKoGn6gKOt6jb+9ottGJaLW5PZgZoGbwK7VS36cxAAO1X9UgIyyhmM+4TMY2Iogb2aDp5jMDWShMizGM7LqDZN3J3JYm2nDcN2MTWUgBDaP03VOnUTB1EKS2KnooFjacyOXV/SxnY8LG83YTsehnPK1SmdvGcEQRDZXlc9Gjxq4ognccTE3DgSfefZbk2H43oQeRb1tomWZuE3Pp6AwHNwXR+fPByB63lIyQIySQFPl6toaTamR5KwHa/HB/S8ALLI4cF8Hm82GuBYGoWMiC8WyxjJKTd+THpMzNvKSE6Bbrho6TZSMo+58TRcPwANIp7wbKUKy3YhixxEjsGzpSo4jsZvfWNqoOefHUvjq3eH8Gy5CkXk8L2vTuHlWg2242Ekr1yqchrD0JifyGB9twWapnqLOgLiC5zX1myqVvRn1/Whm+6VN8jGxJyFqZEUHM/HaF7B0mYTLEvj6VIFFA2wDAOOofDxB8PwfABBcGgMud4ysVlWQVEkIe+4PpIyj+mR1KETKBcmM1jZbsL3A0yNpMAydM8a8sNY99tUTHkWdrua1T2PTOuJmzhiYmLOy8OFIu7M5EEDAAUsbTbQ1CxwHA3DcjGUlTE9erBQxfMDrGw3oZsOMgkBUyMpiDyLmVABXTVscByHpa0GZsfSUTNqf56TY2m0NDuaEKybLhSRg6rbENISdioayg0dIs9idiw1UEN+d+OgqjvQbRcp9mx21CcPRvCjJyR2fXsqG09Bes+otUxslVTYrgeWoZCQeMyOkfXQ0uyeCQLDBRlBQBRWi2kJH8y+PXmOmZEUlraaSMk8WJqGLHLIpURsldvRmmqH67BTtyCL3LFx/SAIsFVWySQBieSEaJrUPTyYL6Ct2xjJK1ci+NjJv2pd+1HM282vf3USpu2CZ+moceg0NFUL63tt0BSF6dHUgbhiISPj4UIB5bqOlkoK/RiaivKW8+NpLG014bo+cmkRzTaZUiPyDEbyCiaHkyfWxQxCNiliJC+j0jQh8SRXBpCpwqWaDt10IPAs8mnxRjZxlOp6zz64V9Px8PouJ+Y94aT1Pyj9NmlS4aImYICc8xfVxNERmwJIzcBezbg0m7K/JmOz1EatZUIS2B6b/LS0NbtnlFKtaaLWMmFYLnIpEd96OIq/+3IHtuPhwXwevhfgy6UKaIrCzGjqVPUMp6k7HCsmYNoeVMNBNimgeMo6hpiY49BNF8tbTWxViIj4V+4M3bgmDt1ykErwUTxVkVjYtgeev1kx0u99fRL/7x++hmG5+Pr9kWMnob+tPLpVwNJWE03NxPRwCnPj72+ze9zEcQX4fgDTdiFwzIU4NoehGk40QcO0PKzttnCrazSf4/pwPR80Aqimi6QiHKpyX0hLUXDB833QNIXNEhmRJvIsKfTbakaOx9JmAw/mD07nuIr33E0xK6GYPWh4iDyLH3xj5kJeg6EpSCILIwyaSiI70HsbLSTwj767cKrXWtpsRMHZpc0GkreL51JFHS8mMJpXIPBlqLpDnO/M8cks3/fRVG0IPA1ZjBPi7yIURWFhMovZsTQshxSDdSd9FzcaqLXIuMSEwoMLO7RN24Xre/B9/0AQqd42sV3WQFEU7k5nUWuZyKcl6KaLNxt1fHRnqKeIfaeiotokDlK1aYKmKBSzEpIKGfurmzYs2z+0YcS0XNA0dWyjCgmEnn0PclwPrhdA1Z1Iwdy0PAg8g4mh5JmfN+bdxLY9lBo68kkBksRjr6ZHyTHTMiAJ7IHAxlENRj95uhv97mevShjKSjd+moxpucgkBGyXw6AM9faN3xwrJjBW7HVupkdSmB4hAa/Z0TbaugXdJBM5/HDk6lkYySsXFug6D6s7LbTCEfBrOy0kwpHWMReLYbmwXaJIkbni0fbdTRxBENy4kaYxMe8THduzI5QQBAEMywXHMuBYGsWMhKeeD1AU8hkJd2ZymBxKYTivoNLQ8fnrMigArhuQ6VEBMJSRYdoeXq3VkFD4SJiApinIIocPbw/hw9tDeL1eR6NtwbQ8rO60kJC5U020iomJGQyaprAwmen5Oz70wzXTIfE4L4Cq2zBC35MG8NmrCqZGBgtg/+bH0/jNj6cBAC/Xaqg1TXh+AMN0kZAud23nUmIkRMLQNKpNElMgtr80kB9/HEmZh2UTP4lhKEjC0c9z1bHJd4F6y4zjgJcEx9K4O51DEATY2COx992qDlFg8J3H48ilRCxMZmA5HgI/ODCd2nF9LG42EATke2poFmZH00fGGgCyXh51Kb7arg/P8+G6PliWTOOVBxRncj0f9iGxw6No6TZ8z4ci8XA9HyLPXJofUsiIqDTIvkBRiIsTYt5a4nPp4rEdEp/r3zOPYj/nxQ6kUNmdQx3JKyjXDUwUk+BYGkmFP7RwarusohbaP7uWDkXikE9LGMrJ4DgazroPBEC9ZYFjVcx0NYJ05zmrTQMtzYYosDAsF5LAgKYpKCKHtm5jY687H9zGwkTmxPeTT0vRfikLLORzCF9lkiJ+9ztzZ/rdzlrgOeZCJqrZro+2ZiEpcecW84o5Gcf1sBTaJDzLQBLZnjqBhMz3KHhnEyLuTV9M44ZpuaBo6tAGVNf10dSsqJ7hKLptGlFg8cFcHiLPRH4Ly9CwHA+lugY/IOumf784Lq5fbhhduUQDAs9gvEimKzTDGPx2WYMiccj2NZ2etKed1pfaLqvR+9q1dMgid2oxqpir5yQx0M693r/neX6ANxuNaBLf4kYdH94eOmDHPwqbOHJpFQxNw/UCBKGZLoscHobr+YvFMkzLQyYhgKJACuooKmqw8FwPbcM5suYI2F9vksAe8AWmRlIHGossx0MjVMS2HRtaWCtz0yhmpJ4ppfG6i7lsjlr/p6H7DCpmJXAsBZYhcYNy3Yju57M2hxxGMSvtiz+GccPLpLNnduqZAGJL99vkp6E/n942bLgu+bC2yxpuTWXwD391HgDgeT4+e10m9gxFYdFt4NGtQk/+5zhOU3fIMjRuT2WPfUxH5CN9xTnrfo6Kg8W8veimg+WtBlzPh065WNps4hsfjF73ZZ2KhMSjkJbg+QEoUBjKyjeugQMALNvH1+4NQbdcDOVkmJZ749ZStWn27Ff19vkFv28qN+ubu4G4no8XKzUYlguWoXF3JnspyVLH9Xp+tjujDkEO3zcbDbRUCy/WakjKPBIyj9/+ZOpAUu7bH47j6VIFq9tNZBICeJYNn9+P3k9HpYumqUOVIhzXx4vVKkzLA8vSuDeTu/BpHdfF3elcZEiO5C+v8LRT5AcQB89x/XM1cQCkUEASWGyWVDA0hZmxow1R3/fx57/YwG5VB0UB33o0dq0q4TGXh246eLlWh+v6EAUG92bykYMwO56GLLJwPB9DWXLgv1it4vV6Heu7baxstfC9r032NHI43fcuiNHdwfNIwXP3uL7O4yeHkmEAM8CdqSx4lsbiRh0/fbaLIADGigq+97V95dHVnRZKNR2ggKnh5KUUQtdaZhSMdj2/R42k+32+a7iej5ZmQ+CYuJD7FLRUG//3//QMjTZJFPwffuvOgfvkNPeNafcGJ/UbGqzs0L1mZ8dSoCkKE8PJGzX1oVzT8defb8P1PaQkHgmFR0LkkJBv9jo5z30aMzid5IMkMFfuPHfWmWG5aGn2tQfkYmJiDqfb9swkBcyPp/F6vYG2boOmKdyazODj+yNoahaWNhooZCRMDhNVb9108Gc/38Bnr0qgaAqjWQkBRcG0PXi+j2xCQD4j495MFqMFBb4foJCRegofbKc3phCfBzExVw/PMTBMB23DgSyw2KlosF0fFAWMW2fzB+pNE8vbTSAgicW7M1kAV2O/fjCXB0vTqLUMjBUTMCwPG3sVgAJmRlNnauieGU1B5Bk4rh8mlQ+PlV1VPPZd4i9+sYGtcMrDNz4YwcLk8cnemLPh+wFGCwr2ahpUw4brs2iqJhIyh92qFok0Ded6Fd49z4+KJlw/gOftSz32n+GHoZs2/refrEPTbbiej6/dG8HsWGog36St23i1VofvB+E+kjt2Ou2Xi2U8eVOBYbsQeQZ3pnJIJ3jcnspeSiPHR3eGIPAsVM3GzFjqyMnBMTHXSX/O7O50fC6dl1Jdx+pOCwhIceRJao2+7+OHP19HqWaAooBvPx7DzOjgOa+V7SZ5PZCCM46jUWuZSCeEnj2x34/qztUe/Lej9+9O0UIxK8FyPEihIrkosNBD4a0O7oC+2699dQJfLlbg+QHuz+WvZBJAP54f4OVqLcox35nOnmtibed80w0HAs/g+x9PxdOYLhnH9XsU5vvv64TE4c5UFo22BUlkL0zEaW2nFU0ZnhrpzQnaro//8pNV1NsWGIbCr300cagKrWY4eLlWg+cFkEQW92dyYBgyTUMSSC60mJHg+R5erFYR+AFuTWRONRGhfz121rndV8fhOL2P697TilnpQE5+abNBGjIoYHY0faiw5YFr8c4W9w+CAA3VAgUKmWQcR36b0E0Xf/rTVai6A55n8Btfm4zOC9/3owJugHzfquHg1VqN1J34Ae7OZFFumKi3LRiWh1yKxXBewWEWutNXq2KEqtuW48FyXGyWVDLlV2Dxg0+mo2k1HVqajdfrxIdIyBzuTudObAYXeRZjRQW6SfyI5A3NvRUyMn7tq5NY32khlRDwwdzbM4Eo5t3ksPV/GvZqOtZ2yRk0lJOxvtsisQkK+PrdEdyZzqHeMiEK7IXm9R/fKoJjaTTbFiaHk+cWs9QMB5bjIaXwxzYKn8YmP4l0QsCtqQyaqg1F5FBvm1E+uP+1PD/AblWL/n0oK+HFKg1Vd6L8z1Xlb3/xYhcvV+sAgPtzeXx053RNPxdFTxwsL9+4aQ5nxXY8tHUbssjdyFpa1/XBMBRU0wNDUbip2pHDOQkv12oAqGtbA+flZ8938LNnu/DDuMjtifSNa+Kw41qliFju5ZKpNsmoLIA4y90jwS6SlCLsK0FQvQ0GW2UVvk9UvlSdGC664eDVWuPA8/AsjY/uDOE3vj6FpEKcLVFgIidd4BjSmVrRsFlSD3XqKg0DpkUMHdf197tnj6CpWtgqq2jr9unf+BXDsTQmh5OYHE6eu6niOEa7gk+ZpHDswd0x9nYqGjzv6M3Mcjw0VRtDWRn5tISdY76XvZoejaIPAuCLxcoZ3sXbie/7eLVax2evSljfbYUjrJ3rvqwro94ysVVWIwXevZoeBRVNy0O1uT8OkaEpjBUTmB5JQRJYZFMiyg0zUgHZrerYCe+TDtmkCCHsUGUZGre6FKCKWemAythQVgZNU2hoFiaGE3h8awim7cG0XHyxVI2Cwa/W6vj//Nlr/OLFLmzHI8XgABAAmyX1VJ+BH66Z7Yp6rAGwVVKj1w8CstYA0hD1tk0PuCgc18ezpSoWNxp4tlyNlLliTubvvtzCdrif7NV1/OUvN1HISFHTEsvQp1KDvDudReeQzSQFjBZv3ui7DpbjEdWnloF6ywTPMfjmozFMDt+saTY/fb4LVbfQbFnYrevgGAqKxEXJo5vKSF6O7jVF4iL77zjauh1NbosZjHoYlLuORDLPMciliC1/0+/XmJh3mW7bs9G2sF3RIh/Z9wNslzW0DRu3JrP48M4wZsJpeo7rY2Ovjd2qBooijdOru20EAMp1Ha/XG3i53oBpu9BNovw7fcio7tGC0nsenKOQJiYm5my0dQstzYHnBWhpduSvBgHgewFqoT+vm8fHMHarKn74szX87NkuXD+IVHB9P4Buudgqqz2+/2VyZyaLbz4aw1BO3vcvz+DHd6A7cYrR1LHFr5WG0ROP3a3GNtBxlOs6tsrkOwkC4Iul6jVf0bsLw9BIJ3mYtocARMDhy6VqJLzT4dlKFf/r363gly93AQCiwEbx+bTCR/EFlqGjQgfjmPX9aq0B3XBAURQ4loGq2wcKrY5ip6JFBSGa4aDRNo99fCeO3NZsbJc1mLaLpmqjpV1O7J+maTycL+Cbj8YOLdiMiXkbqDZ7c2axb35+NktqZOOQnOTxDa/bZQ2lGtkfgwD48hQ5L8f1QoVcGobl4ulSFXtVDYsbDbxYqUZ5A4AUvnWKVDmWRj69Hwfqzp3QNHViEVw+TQq5707nMD2aivbttMJDCvPBFIWBi+lEnsXX74/gkwejSF2wv2eH8d9SOAX2KBptM8pN+X5w7px553wDAMv28GKldr7nW6/jT3+6hpcr764t9HSxgj/96RqWNhtn+n2pyyYBevPZHdIJAdNnbNo+DNvxevbNfl9ifacZxV49L8CXS5VD49ckj07uT8N0UQ0bouiuXKgscni93sBYIYHxoSQ2S+qpBLZyaTFqkGKY/VxiJxcKAALPHGg6Xd9to96yUG0Z2KloPXuabjr7Ew4DYLPUHuhaitmj96PjWNps4s16A6/X62e+T2Iuhzcbdag62fPsvj2PY5me73gkr2C3osFxfWzutbG01cTffL6Npc0GskkBCZkDBQr5lIiUIkA3nR5fonttZ1MCGqoVCTeubLewU9HQ1mzUVQuvNxoHrnW7ouLVag2fvSphdaeF+gk+BADkMxKySRFDWRmZ8P83lfFiAt98NBY3cMRcCYet/9OwsdeO7OrlzQaWt5rkhwD4YqmMlMJjejR1KcKM92fz+OajMUycs2ag0jDwbDmscVmqHlsD1G2Td2zp89hHHEODY8l/w7m+874vJ9zdYNnW7WhPvwi7eFBs148aOADg+XL1xKbwQWPSp6UzXRAA9qr6AfHydxHTcvHlUgVLm008XapcWqzsMulMvlNEDqLI3simX8Ow8XK1BoahwTEUni5XYNs37/57vd6A45Kpy7WmibW9wfyEt4nhnBz6OwY83x/YZ3kXuVntNzeQflWqyxqTzNAU7s3moRkOeJbu6azqdJmyLLmWziUdN24znRDw6FYRlu1BEdnoui3HQzZJ1F4YisJhobhulf3OtR1FvWXiTejYbVHAvZlcXCwCUkCTTvDw/AAJiTtWpez1Wj0q7qm1zCOdQZqiekbYHve99I9qO2l0203i58/38GajAT1Ut/z43ghEgcH92fw7P3WgVNMjtaidiob7swdVL05SweD7mpcE7uC98mAuD810IfAMBI6JmmQOG6+oSBweLRRgOx4oCmBoGqDIdfAsDR0kQPl0qYKRvIylrSZqLRPZpBgVuR13Lx/G4mYj6nCvNsiaOex9d/8dF04V8oMAksAOPK74ptHSrJ7pKZWGEY95HRDH9RDl6wKirCSL5P7WTReyyJ1qL12YzKKQkaCZLoaz8rUoo10YASlM7dxbtnMzu6c391qotW2SmNX2LaCT9s23nXxagiJysF0fCYk78f20dRsvVmuRPbEwmUEuVjo9kc65k72mQMZwTkGtZWGvqp84QjcmJuZ66Pej++0G1bDxZp34fQxNCo8knkG5bqChmuBYBumEEE7P5FBrGai2TNiuh5ZqQTcc2I534HU6nPY8iImJuXgch0zBdD1S3M2xDGSRBUNTEHgGi2H8bKei4YO5/KGCH03VwP/4J69hhUmvYlbC7cksmS7JUFjabEZ+ve34pIHrCmDo3pgUe8RedHGv17uHHrX3xRAOxAHjz+tSGSskItGeWtNEEAQo10njkSSwqLcN/OjzLSQVHjRFQdUdfPejSdyazEA1HDA0acTQTSeKNViOh+cr1agw0bQ9jHeJQfTHFE4TYzht7JDjGNi2B5qmQFMAS3cKGW9wXCMm5pycdh3FnAxDU4hKnKnB9qaen08h0kZTFFiGRjohQNUdBAhQbZpQwoZS3XSivGYizHcYlgtF4npUgA/LnZwFhqFxv5MP5uhIdOu68Dwfz1eqUcxXM50DUwQ6XPRaOM/51s/LlSr+5x8tIwiAz16V4HoBHiwUznV9bxu/fLmLH/5sAwDw+esS/ne/fgvzXUJsg0BRVI9NchVThWiaKPx2coL9903/evb84ND49aD1CxzDRJMzKAo4zW0l8iweLRSgGQ5kkY2uLZ0Q8HChcKDuokO5rkeNGi3Nxlfv7qsBMwzd50sNdkHH7UdH4Xo+al3TfqpNE7NjQXxuvSXw3PF73vxEBsM5GxRFBMhWtsPJGWFRIstQaKoW5sYzEHkWosDi/mwetuPh+Uotatx2XB9jReKzdGpVuoURHMeLhCcoHXCcg41On74s4UnYMLm608KdqWw0NeQoBI7BwzCnKvLMO5uLj4m5DPrX/2lgGQp2uP5ZlgbVVyNzEyjX98UsLMdDS7OO3HP6bfKnS+Uz20eqbuN5l80xP5E+8rynaQrjxQQ00wFNUdfmI9IgcdJO/IhhKBw3dGyvpmOtq8bsqJj0WWAYOmogoaiwpvEdp9Yyo88+CIjgQ2oAgc23CYFn8dGdITRUCwLPYOwGCqowDIP1PSI8AwCa6YLnb57dwdAUKKrjK/n74v83CNPyIp+Joig4rn+povpvMzfjxL3B5NNiqD5PIaXwPcmTi4ahyWv0j8aZGklCkTgsTGRDxU0e40MJ3Okq4NqpqPhPP1rGf/rRcqRmIXAMUgrfY1hwLA2GoSELHAKQQ/rZcrWnO7CYkZBPk2BIKsFjrOs966aDFys1PF2qoNG20OhWcA7w1io6V5sGni5V8HKtFm3i3QRBgLXdFr5cqmBlu9kzru6syCJRPz2ugcP3g54JJprhHBiP2oFjacyNpcGyNASeOdbwLGRkPJjPg2cZJBUe3/hg5Mzv422jE2QwbQ+u66Ol2wgC3IhJMOele735fgBVdzBeTCCV4MEwFNmvugr2G20Tf/KTVfzx3yxhcZN0Y3/yYARJhQfPMngwn0chc7DjnmFopBQ+SkIkJO7QBo5STceXSxWs7rRwb4aMkGdZGjOjKfAcQ15L5qEaDtKKAJ4je9tmScNs517mGCxMZk71OXTvM4blHhhj3GF8KIFyQ8dGqY2kzOHFWg1/+ekmUTN9R0d4CX0JH+EGGqrXxdc+GEFCYmHZRJXtWw/IvtkpqNRNB8+Wq3i+Uo3Uxk4ikxQxXkxcSwOHqtv44c/W8Ed/vYQXq+dTHgsQIJsSwDAUOJZG5opGgV406aQIlqHAMRQyCQEUReyc89p2juvh9XodXy5VLk2Jsd4yiR2zWosUibsRBRYphR8oQNTSbHR38b6tttvbRkdp6rrUKDoFmtuVs6lex8TEXD4zoylIIguWIdMfR/IKRgsKWIaG0mdPMzSNl6tV/OLFHj59uYdyw0Q2yYNlGRTSMn79owkyPtwm44w5lkJbtzGcV6LGO8Ny8XKV+Ob1MEF/mvMgJibm4hkfSsDxPLR1ByxD48PbBdKYFZDYXgffD9A+QqVrbVeNGjgAQDNstDQL1ZYJiqJ7hBma2mB2nO/7+OnTHfzRXy/hR0+2zuQP8xyDmdFUFJOaG8+c+jkOY7ui4sulChY3Gj3xsEJGjCYjXoTN/q6TSYp4fLtI4oAyj28+HL3uS3qnSUgccikRDdWE5bgYCmNrmaQAgWNQa1kQODqapvs3n5N1R1EUkjIfNW6kE0JUUKEZTpQEBg76aZmEAD8I0NRs5DMiHp+iKHVqOAmaDvDkdRnPV6uonjC19VsPRiELLIazMh4sFCAKLCaGEofGBmNi3hf6c2bxuXR+5sfTEHimJ59wHMM5GR/MHZ7zarQtPF2q4MVK7VB1WYahMTeehuf5SMgcxgoKggDQLRcU1SuY5/kBNksq1vfah6rp0jSFRtvE6/X6uXKJ9ZaBHz3Zwv/241X8zWeb+HKpglL9eia8GLbXI9pzXKwwmxQxnJfBMjQSMoepc6ou35vOYXyIxM+HctKpzrd+lnZa6B4isrLTPNe1vY2sbe8rswYBsLJ9tvfYsUmMUEn45VqtRxysw8Ze+0Ly5my4BrlOTrAvvz09msLCZAYsSyObFLAwkT40fj0xlEBSJvnQYlY6UNzZiZMUsyIokPzYNx6MgD+hUWqnovX4JJ2mr/7io8PqLjokFT6swaCQS4ro/rgEjsHMCPGlRIHB7PjBJqlfvNjFH/31Ev7q0w3YXf4az5H81KCNHwxN9eSjOJaOY0RvEXemspgcJnteISsinxIOrLGEzEcF3KN5GYbpotI0EIDUf4wXk+QeTQqRyGFbd3rWaKeeoLtWZSgrwXRcbJTaUGQeIzmZ3K9pESN5YtfYtou/+OUG/uivl7Cy0wTLkKZunqMHmsQBkPWeUvhLaeAwD4mFxsS8S3Sv/246tWx/9ekm/oc/eYH/5W+X96dtgDSAdOzq+7N5fHx/GDzPQJY4fPPh2JGxt7eJ/pqW/pqXfrrrmZa3WtHfn9Y+Opgzt4887zv2TEoRkFYEPFoo9uR/JocTWNshNYdrO61jp9udB5al8c2HoxB4BpLA4JsPR0Ef08XR7KsxO01dXRAEWD3mPc2PpyFwDKllHE+/F+IfB+7VG9iwqEhcOJ1HQTErY3o0dd2XdGpsz4MsMLBs0uwqi+yNnMTxwVwOhuWgrdnIp6XIJrtJ1FsmKk0D5bqBWsu8kdNpLoqb14JzDv7wD/8Q/+E//Af88R//MW7fvn0lr0lRFGbH0keqjlwFIs9G0xm+8eBgMb7r+virz/aTsH/12Sb+m9/Y/3x8P4DteOA5BhzL4NZkBttlDXs1HbmUCM1w8Hq9jo/uDIVqGFTUIOD7PlqaDVFgIfIsljabUfHg4mbjQLA6IR3fYWjbLnTLhSyw0C0XCYm/9OJWy/GwtNXcHyG31cT92d5pF+WGgb2wOcAIO3a7uw07Cu2nOYBbqg3TdjF0zFg6mqYgiSyMcJSrKDDHBmIKGWlgVf0Pbw/hw9tDJz/whpFPi2jrNniWhuVQSEhkG7yqKRyGYaOp2yhmJDDM1RpkCZkjI6i8ADxHQw6VV+5O5w59/N8+2Y5GEP/06S5GcgqyKRH/8FfnAQAt3YZu2pDFkzuDm6oVqYgCpKGrMxWkc/8+vlUEQJo7VMNGISPjH353HjsVFf/P//wiCloO5+VT3csHPgeJj5wLnqMPTBfpsFvRUAwT6S/Xa2i2bLAsjbZmQ5Y4fHTn3VsfCYnDzFgKlYYBkWcxec4kyvsERzP4+v0RaKYDkWchCPvrwvMDvNloREHQNxv1A/tr53wjhZNkH3c9MvpO4JljG/ougv7X/8nTnajp7ZcvShjKyieq5BwFzzIoZCSkFFK8flMnbs2OpSJlO4Fn8KuPxyBJPGrheOlc1+ejhntMYoD3urbTjvZm3XCQkLgLPZMc18PiZiNKQi5tNvBg/uwJTaVPXe0k2y2GUI8mcVzP1JKJIWKXbpbiJo6YmLcVWeTwsG9/nhxORvbYXk1HOxyvXWkaUeNfW3eQUC185/E4ZsbSuDOVxZuNBoayCtqaC8fzIPAsPv5gGAmJRb1lIpeWsLTZgG7u++Yf3i6+t+omMTFXjev6UA07iml17EmaojGSV2AmXYg8C4qi8I0PSDF9TyM4BchH2ItjxUSPmprAs5H4guW4cNwgWuv9dt1RvFqvR1N025oNReSiOONpCiuGsjKGskfHuAbF9Xy4ng/L9rC+24JuuhA4BgxDRfFXiqIwN54GsB+P1U0brg+kbqg/ctk8nC8cOIdiLpaO382zDDJJAVPDaVQaRqQOP5yTMZJXkM+IeLpcRaNtgaYouH6AL5cq+MoxcShZYHsUqrt9yqZqYaeiRfG/YlY6sRgR6I3rVxoWBIGB7wf4ybNd5NICaIqGLLAHnmtiOImJK4ondfIWHMecelJvTMxV0p0zi7kYEjIf5RMG5St3hg7spa7n48mbMmgqnHy22cCjhYPPm09LeDBfwNpeC6bpQjMcFNIS5sLCow7bZRWVsNnNMF3IItsTUy03jCjmaoQ2zFhfnlQ3XTiuh/QxQjh//ekWdMtFtWlicaOBbz0cg2G6SEjcqSYjmLYLhqajpkDD9tBsG8glpYGVSEWe5CU7RX0nxQqnR1KYHrmYQh+WpfHrX528kOeaKCp4GqrGA8BY8Wom1l0lI0UZbzYb0c/9995pMC03yp0bAFa2mrg7s59rLNeNqJHJMF3wHHOuBrZ8+mDTRTefPBjFJw9G4bo+tisqTEuDYbmQpf2CVo5lcHsqAyfMuXTTUm08eVOCwLNQJB63p3l8eHvoRAXypmphbbd5qE9yGgoZKcpVcix9wM8ayslH1gssbzXxcpUI8bU1G+LLPXzjwdmasimKwp2pLDZKbVBAnCN8y6BpGt/9iOx5pZrek2cXeRajBQUt3QaFABzDYKdKankeLRRRb5lgGQofPhg5cH8xDGBYNiRhf6pUP5WmCZFjMTmURKmuQeIVjIa1MKkE+b1fvixhK8w/2DZpaFISHGgKPeu/49Nf1SSpTs1Nqa7HsdCY95JS3cD6bhvPlqto6zbSmg3b9pBO8MinJSRlHvdnc1E9WyEj4d4Mifs1VQuv1vb3mk4D9Wlohmr9Is/CNF3s1TUUsgqUC1SMnxpJwnJctDUb06OpU4lIjBWUnqaW09hH/fn8k163355JKXx01u5WtSjn06k5zCQFmH31IxfBzGgaM6OD2SsJiUMjzHGDGjyeDJCcVqnvPY3k923sdELA49un8+luOvm0BMv20FAtKBLX83ncJMaKiXP5EteNyLEAhWgKCgXcyEkc2xUd2aQI1/PheCSOe9NqsVTDRqNtwnF9GLZzpAj3+8B708Tx7NkzfP755xgbG7vuS3nrcH2/R0XPDicUsCwN2/HwYoUoaAgcg7uzOaQTAlIKj7ax31Xq+wE8v3ecpu/7+OHP11GqGWAYCt95PN6z2Hw/QDZJ1B9Uw0ZK4Y9VJ96r6fiLX25A123s1nSMDSWRlFh8/5OZS03AOq7f0z3rOAe7i+0+hZHux+zVdKzttoAAGMnLmBogOPmzZ7v4y083EATArYkM/sn3bh352LvTWWyHgbDRG3rAXyWfPBiFInHQTAf5lAhRYJFJCldykK1sN/H/+8tFOK6PfErEf/v370O6QkMgrQjQDZIwHsrJJ75299SZICAqNJ2C5B9/sU0CtBTw1btDkSN3GH/92SbWd9ugKOAbH4xgYTLbo8wEhOsMwP/4p6+wttsCTQE/+GQaj28NYbSQwD/47gKeLVeQSYj47lfOt4/fmspgp6LB9wMM5+UjVWS69yvT9OEFPthwgJU+4CSFm8hFFda8b9iO1+N4e/7+Pe77fo+KjdOnXLtb1fCXn27CdX3k0iJ+8+NpGKYTNX6kEzxuT2UvrZGj+/XzaQnf/3jqwLQG3XSRP2M/Kk1TuDuTw15VB01T0USAm8Z//eu38JefbcFyPHzyYASSxOOvPt3AT57uAgAeLRTw9741i58/38WrNZI0eXyrgIeHJH67qbVMLG8R9QlZZHFrKnPBTRx+j4qcfc5JQpmkgIXJDJqqhYTEo5g9W3PP+0YnwHVdkziiJo5y3MQRE3NTGc7JoEAm+6ztkqSC7fiRqt3aTgt7NQ0/f74Hy/bQVE3QFIAgQELk8MOfb+D/9cM3KKRFfOvRGIZy++dxEOC9HlEbE3OVqLqNP/3JWiRQQtHA6/UGAGBuPIXpEWJ0244H1XCA0NRKKjwmhhIwLBe5lHhkUrCQlvCPv7uAJ4tlpGQe+ZQEJyyoEzgW48UEbNeDJLAYPkY0pBvD6o15bZXVyKcZH0pcqZp4vWVGDcqeH+CzV2W0dRsMQ+Hbj8aPLJj6cqmCJ2/KQADcns7i4/vvzsTZmJtBpaHjz3++Ga2/0byCW5MZjBZkWLaHmdFUVJg3lJHhex500wXLUsgo3KETFbsRBRZ3Z3KoNAySFO865/tjEP1x7MNwXRLXrzRIXL+hkqk+CIs6/uQn6/C8ICqeHXQ/uUhcz8eLFTJtkmNp3J3JQRLem3RXTEzMBfHnv9jAZ69KoCjg7nTu0EKUICACPeu7Lfzs2S5EnsXEcAIP5/MHGtkO7rmH50Gif+/7+fV6HT97vgsEZFrjdz4cP/S6jTB34/k+PD8g6v8sfeD5j2Nlu4ly3QAoYG4sDcNy8P/9s0VYrodsUsD/8bfvQhpAvIVlaNydyaJUN8AyVFTUe9N4fGsIjutjfaeNieEkvnr33bMXv/WQ3E+7VR3z4+kDgoWnwfF6c+f9kzicvuKbQeyP82LbLv7kp2so1XQ8WaxAFhhkUxJuTRIfQTcdvFytw/V8KBKHu9NZMAyNz16V8MOfraHaNFHISvjVDycQBMTWOKmJQzddfPpy3yf51sOxMzVxLEyQvKXnB2TCwSmaU7W+CUL6CXbjSZDP5nDxv5i3h/41Z7sefvZ8F8+Wqqg2TUyPJpCQSO1NIpzwOzGUPNDAsbLdxN99sQ3DcpGUOfzKh+OH7uOdNby01cD6bhsMTYHnGXx8fyQSrtLM/XtvfiINmqIgSyw+mCtEz9nt0+dSIhYmMxf5sRzgyZsS/vQna/ADIjj37cekxiCOhca8T9iOB8/z4YXxQdcL4PpBZDeWajpWw3q24bzc02x7YK85xXnu+z7+8tNNbJc1UBTwcCGP//mvl9HSHIg8g//T793H7Fjm/G8QQLmu4/PXZXhegFrLwm9+XRpYDPrbj8dB0cBuWcf85Onso3RCwK3JTFSQf54am/7PdrOk4i9+uQHPC1DISPjNr09dusD1YYwWFNA0FcWkT1PDcNA+fDsnuVw1N70B4l3A9UnNZksjTWq5tBTVSd8kVneaZP8GIDZYmOf0A66DAGSaqWm7yCQEBOeY4HjTeS+i2rZt49/8m3+Df/fv/h3+2T/7Z+d6riAIoOvXM5L2tLiuj6XtJlw3wPxE6tBudtvxUGtZUEQKjTZRjZ4ZTcK2TZSqFtZ229BDhQzLAta2gqgILC3RKNWJogzDUNjYqSGXEiLnb6usYmuPbBaOA/zi+RYezuexUyGfXzrBw/dsKAKgCByA4z/bXz7fgmFY2KtpqDQMeJ6HYlbC5y+38bW7l6iI7wfgGB9qqHo6lEkcuE6ZB1zXhueRRhZFkKLHLK6X0anlXdu2kJbpE4M+f/P5BtzQoHm5WsXyRubYDsxiiny3rmPBfXdryy+MO5P9BpF/Jev6b59sR4ZptWXii1clfOPh2dRQzsJORUNS4ZEMu0mrLfOAI2E5HqpNAzzL4PZUFk/eEOWhQjjyHSDd8kudbvQAePKmcmgTR71lYqeqYWmzCY6lEQTAkzdlzI1noFsuDMsFz9FgGBrDORlLmw3S8BRex3/56TrmxjNIyjzuTGVxZypLrrtpwAoL5j3PJ06RyB2rTNUNy9ADqccM5xSshSom8xMprGy34Lg+GIa69KBSzM0jlxaxutNCM3TSi12TYjiWQS4totYk43n7FZOeLlWiZspa08T6ThOWs9/4sVUiCm6jhUSoJns8nh+gXCd7WjF7csD/i8Uy2ppNOrRdH6u7TdyezOHnL0nCMJ3gMXzEGeT7ASoNA35AAghHTYMSefZGjlLsRpJ4/L1vzUY/e56Hnz3bjX7+YrGCr38wHDVwdP6OjKQ++tz3fD8aH+p5AYILjl9IAotUgkdLJXbeyAUU1+RSInKp65kocVPpjAvPXlsTBzn3tkptBEFw6dN9YmJiLoehnIytigrHCeD7ZLoey3AQeBp+QM5knmMgSywqTRNpRUACHNq6A9f34XkBKg0Tn78u47/5XgaVFmkwSyV4MDSFnYoGlqFRyIjn2ieCIEC5YUQJhpP835iY94nnq7WoqKahmXi1Wo8mur1Zb2BqOAmKoiGLRHCioxI5WlAGVuaan8hEat+luo7VbeLXKhIXJd4OQzcdNNoWZJFDSuEjO39qJIHF9QZs1wNNU+BYOrJtfD/ASF65MgX8zZIaNShvlduotww4XgCWoVCqaSjV9UP3nqdLlajI7PVaHQ/mCtGk0BiC7XioNs0LOQdiDvLlUjUSC9FNBy3dQi4lISHxuDeT7IkTfLFUhixyyCR4eAGwVzMwP5GB6/ko1w3YjgeWoSBLXM+kv6TMHypSI4ssVMMORSKEY6c+d9gotSMlec8L0FJNEF06IvKi6RZEgYfr+vjiTQmPbw+Fa088VSGU6/moNAzQFIVCRjpyfzqMct2Imlsc18duVbvWaej1tgnDIgnH06jgx8TEXDy66aChWpAF7lgxjXKdKMOKPAvTdrG83Tp06lFLs9FoW1jdaYFhaFAUac54vlrHcE5GEAQIEEDgWBSzEmotE74fgGNp5NK98bN8SsReVYfr+aBpCgwNbFdU5FIiRJ7Fz5/voq3Z4FgaqzstfDCXR/aQGNytqSxer9WhSBxomoLr+dAt58jYbD+G5ZIGDgAIgI29Nl6t12GFZ1W9beEXr8r4lSOaSPqRRQ4zozd/7/vavRF87d6717zRTaeR47woIoeEzEW5835fJZcWsVvT4brkXi+esaixP9fRyUcwDIViRuqxWRe3mmiqNrYrGhzXhxOuh5883cU/+u4CtstaNDFGM5woR/rjpzvwA9IUW6oZ2K1puDOVhRgK4R1nr7RUM7JHfD9AuXF0rvk4W6GTtyTPYaChWihmJDB9a9p2PFTCHG4hzEHNjqbwcrUGy/bAMBRuh7nUmHebYkaKfIO2YSMpc3i5WoNq2PB8H8ubTdyeymHL1DCal2HaHlwviHIDnVz7p69KCAKSw3Nc8m+H+YKFjITtioa1nRZsx0cuJaDcMJBW9s/ZO9NZ7NU0BAGQEDn89remIYu9/km3T19rmVB1e6CJ9oNQa5kwbRe5JBHxBIC//YKsbwBoahZ2axpGcgpSCT5uAI95pzEtF7W2GU3WeLFaheW4sBwPQ1kJxYwU5Xk3Su0oZrZX1VFIS2hppDkxkxAgcAwsxwNF4VRNCns1HdtlIkYcBMAf//UKWhqxG0zbw5/9bAP/3T/KXMj7ffKmEk0lrjQMbJTax8YHOv6CJLDIJkV8MFvAzIiD1ID1Rt1kU+Kh9vppKWSkKKfCMBS2Suqp3tNlQVHUmadFFDNSWNtJ3lMhEwtDviu0dBvLmw0kJA4LkzfP9qTRaUona8z3bub0h3LdAB3Ga23Xx+JG9cZNgS3XDXAsme7pB0QYdfrqymjfKt4Ly/Tf//t/j3/wD/4BJifPP1LVcRy8ePHiAq7q8nmyoqHaIoGDnz6h8PHtBJiuIkLPD7C6Z8END36JAnIpDinawd/9vIRSw0Hb8NA2PAxlOLA0BaPJol3dDyxQto9K04Fu+VhdBViGwsywAIamUG27qIQTIgDAMRg0UxoomxSm2j6NFy+2B34/pT0NlaaLRtNGvenBcyxomgoRbShB9Zyf1vH4QYDAIsXb1d0KqrsHH8N4AVzHB8PRWFspR3+/uWNGxhUoQPDKJya31VYDhr3fXba6soJ6KVYCuOnwXG+w7arHcTFM733Xfx+6no/ny9Wo0WQkL+O3vzkN0/IwkleiImSOpUjeNrxFOebg/bxb1bC+24ZmOqg0DBSzpLibZchI8kbbAs8zoAE8mMtDFrlo8ofjemjpDhBQeLFaw52pbNSgsbHXjkYwr+60QIGK3sf8RPrYccqnZTgnIylzcFwfSZnHg/kiqk0D6aRwqdN/Ym4mrheApkigk6HpAypqCxMZtLI2aAoHApL9gXiGocGEUUXTcvHp6zJySR4r2y20NAsf3j6+cfHNeh0tjRTs11rmiYoRuuGi1iJFWKruIAiAOzNZFLIidNPFcF4Bf0Tx5dJWA/WwALTcMPBgLv/eFPswDAOGoeGH3zVNAQLHgaIifw8MQ5843jSXEuGNEsUTSWAv/GzojEBvaTYZX32BUz5iBqceTuLoLrK6Ssg5TsGwPNRa5oWelzExMVfHxl4bn70qo1zXwTAUsgkRv/LROKoNA5rh4vlKFabtgWNoSAKLmbE0XNfDTkVDpWkQ358KoOo2JoZTGC74RIFSZPF0uRqpxGqmc+qx6N2sbLeiws9SXceD+cKVFXjHxLztcF22P0UxPX66KLD48M4wTMuFLHJgGSpMmtJHTt44iaGsjIS079ce18DxbLm6P8GNCoCAPFYSWfzOd6ZRa9nIJHj88Ocb0MLplJrh4ipXd/f1d4pLWAagaRq1phE1rJQbOh7MFaLHMxQND174e0DcW9aLF0406CjknfcciDlId1MRRVGYG0tjOK8c6qPxHAOeYzFaIJNz5sfTKGYkPFuuoqkS0SVFYjFWSGBmLHVsEYXr+Xi9XocskGke6YQwkE/C9cUpRvIJjBcUWI4H1/VQC/0bgPg6nbV3mnM/CAK8WK3BCJvVGqp1qqLD/tc4TQPIRVOq6VgNhWC2yxoezOWjwrGYmJirRTcdPF+pReI4s2PpI6fIdhoecikBtsMhneAPFX/q7Dedx1MUBd8PsFlqw7AcrO20kZCJ8u5wXsbDhUJkz/U3tIsCi4cLeeimi3rbjETvdis65sZTqLbMaF/MpgQwRxgtH98fwdRwEp4fwLIcrO2qEDkWL1ZreDCfP1TUr5v+PZNhqAP5K4GLc5IxR0PTFO5O59DWSdNRf1OCyLN4OF+Abjok5n3G++nVWi1qFKk2TbieD8smNquqOz2iV5012rm/O//nwtc+KkfKhv+XBJZM95rO4tYkmYx+kr0iCCyKGQm264FlaKSUw4s/u5vrt8saPpjLH1pA3smfdt7v/dlclG9xPR/PunK4mulgeiSFhMzj935lDuW6gZTCDyx4F3Oz6Zwnn78uQxY41Fom6i0TDEMjCAKohgPNdJBJ8tir6hgtKtgstWE5RLx1q0QmdpdqOmSRi9bDUUIsksDi0Xwef/PZBoKAhma68AF0p78mh5P43e/MoaXZKGalQ8+i/vPnomz4nYqGjb129OcH8wUIHNPj10gCi3szOQxlZaQU/r3JZca8f9iOh+crtahxkWNp7FR1pBMCFNHHh7eKeLBQjNY7TVHwwsIfPwjwar0G1yU/FzISPpjPQzMcCBxzKj+3fz/huON/Pg/9jczHNTYbltvjL2SSQnT2UmUV92bzZ47DngdZ5PBwvgDDciGLLOotM6r3AA7GaW4C/e8pnn70bqCbLv7kx6uRTV5vW/j6DZt6TdNEtN4Kc6J7NQMnlPS8lSQkDp5HdnAKQFK+eSKsKUXAUFaC6/ngOQbSeyyM885Hkj/77DN8+eWX+Ff/6l9dyPNxHIeFhYULea7L5tnuEgr8fiPA5PQU0on9wtG2bqNildFQbTA0hYkhBV+5XQQAvNloQkgSha69mo6kwmOsoGBuLHmg2PTZSg2m5cH1fLzZbOJ1hUUmwWNkSMG830Zbt6GIHL71cBiZviSR7wfYLGtQDQcpmYumfBzG5IyNv/1iF8JuGz6tgWVppBUeHz2cxsJEb8ep4/pY223DcX0MZfcnCFwH41M2Vnfa8IMAk0OJga5FTLfwX362AdsL8NHtAj55eLMOvOPYKmtoajYSIouJocS1JtjOwnmauH7z61P4n/5iEU3Nwux4+lBVp9OyWWqj0baQkHlMDSeP/TzHiwnopotG24TleNitauA5BkmZD52VKpa3mihkJCgih4ZqYWrkYNJeFnl89e4QnrypgGMofPJw7MBjGipxdBSRw/RoEm3dQSrB4RsPRrAeBlGYMDjS2VMmhpL46t0h/N0X27AsF1SCw9892UZbtfCVu8PIpcToeQGgrdrgOCZyoupt69iiVM8PsL7bgmY4yKXEgUbUdQeeZZGFLPYmcbbLKmotE4rEYWokFRenvce0VAs0TUORyP3caFsHJhWkFB6+H2BluwnNcJBNiRgvJvDVe8PQDAdt3cb0SAqzY2kYlovFzQb2qlqY5CAm23ZFw4e395/TsFys7bbgeWRSVkLmexx6VXfgev6hwYp6y8R2RQNFAyLPkDMzJ0cFHfm0hPwJgg6doEYQBFjfbcNxPUg8Cz8gQZ/JkeS1BDoukt2qhmrTBBU2rwUg+2kmKeAHH0/jz36xjsAHvvOVMSRlss99+qIMiiYJ1ZOYHknBdknyiTSPndwkdpq9HyDJ5Th5c7101spxCpCXCcfSGMnJ2K5o2NxT4yaOmJgbSkO1wDIUBJ6B7fhIKDxmR9MYzin4m8+3kJR5NNoWaqEdwjEUMkkJKYWDueihrVvgOQaiyOInz3YwM5rC5HASmuFEDRwAsREYmkJTtZBU+HAywOB2bqOrsHO7rMJxyRS92F6OiQHuz+Xxar2OvaqG4byC3/vOHH76dA8UDfzG16YgcExUMNdULWyWVDAMhZmR1JkKgm3Hw2ZJheP6GMnLR9oALc3eb+AAsFPRMRqqrBmmi90qUbx3XR9JeV+EIZ3g4QdBpPh0GZTqOsp1AwLHYGIogbVdMiXzzmQWbc1GuWFAEtieZnnT8mDabuTTf/PRKH7ydAeBDzy+XcBe3Rhoj2uqFrbKKmiawtRw8p1V1zcsN2rgAMgE1E6BXCEjYfgCpvm973x0p4h6y8T6bhvZpIB0QjjSR3u0UMTyVhNfLJYhCSwe3irCCCfa6qaLIAigGWEhYds6tolDN11UGgbqbQuq7qDWIkqckyf4kRPDSSxMZrCy3YQscvj43hDKTRNN1UIQAJYbEJXbPsVJy/ZgWu5A4gEN1cKb9TqCAMinRZy2hqqQIeqgDdVCQuIwPkCcrxvH9aKpu8M5+UyKkJ39aaeqQhY4ohrnB2hpdtzEERNzRbQ0G5ulNmiKwtRIEi3NjgqyAKChmoc2cdiOh3LDQFLhUW0ayKZF/Mrjg3kOgAjyjBYUOK4Hx/MhcAySModSTcPiRgNAgOFACacbqnh0q3is78OxDNIJBpthAS0QNt1tNJCQeNRbJkSexcxo+lgxqY4i7rPlKpqahUqTFHCrunNiE4fAMZgeTWGz1AZL05gbS2N6JIF6y0KjbWJqJIWv3i0e+xyXQbf9Oz2SilXS31IabWIjn+SncCx9rpi05/lRA4duOljaaoBjaQxnZQg82xN7AICFiTR2q0QEznV9CBwNSWBQTIv48RfbEAUGhuVAFFhYtoeNvTYWNxqYHk1hq7SNAMDXPxjG7alc9Jy260cNHAC5R6tNA7tVHRxLY2Y0hYXJDNZ2W0jKPL56b/jIz6xDx1bov7+DIOjJgWqGA8f1owYY3XSjBo7Oc06H6QeRZw9tQot599gstbFb1dHSbOQzIjTDifzU6dEUNN2B5wVIKwIUkYVmutgpa5AkFvmUhEbbAk1T2K6okR1s2i5omsbsWArVpom9moGxgoJsSoxyUUpob9+eyuHNZgMAMDOaQtAXCzjOzwGA2bEUFjcbcFwfo3kFssgNnGvvP/O7/fPuNeZ5RMBGSEv4wTem8Md/uwLb9vD4VgG3bqBaeEzMadEMJ2rgAIDFjTp2yyo0y4UssNBMG2u7rSjmMzeexsp2E74PFDIivlisYG2nBZalcG8mj7nx9JnO80JGxgdhHFTkGfy3P7iLP/qbZWyW2simRPzet+cv7D1//f4w/vqzTaiGg9mxNPJpES9Xa/CDAOPFRM/1t/v8ha2SGsUwgoDUfFxXbQMR9SDn/uPbRaz99TI0w8adqRwm3tJz/qTYafd7ink3qDaNqIEDIPVLNw3VtGE5HlTDIWLsPAPb9iGKN6uT4x9/dx7/j//8HIEH3JrK4FuPL2bq4lXycCGPpc0GmqqDQlo6UP/9PvHORz9+/vOfY3l5Gb/xG78BANjd3cU//+f/HP/23/5bfPe73z3181EUBVl++xNXjushl06g0SbK2gLPIJ9LgWdJ9/3yVhNbJRVvNtvIJAX4AQXD2X9vuYwHyyUb7cyEGCnlH3wdH+mEggAW1tbraKoufJ/CVrmJIGAwMZzB+FDiyCTKdkVFS/cBMGhoPrIWdaQqjizL+Me/nsHrtTp+9nx/FAbL8Qe+k9frdZgOBYDBTt1GPnvxiVbXIxNFTjI4ZFnGSDFzquf+YEHGBwvvTuNGh0rDQF31ADBoGQFaRoCx4tlGr10Evh/A8XzwLH0lagu5tIT/7h89vLDnqzaNaAShbrrgWbqnMcHzA9KtGL4/nmPwwVwen78ugWMZaIaL1+t1fOX2EBY3G9ANB6bpYrusYW48BUU8uuHo3kwe92aOVvdXRA4tlRSSz4yle/aQatOMVDt5ju7pGv/Nj6chCSx+9GQbLc1Gs60hlxaR2mxAuVVEQuKigKkksqApioxvBGA7Lj59WQIoEgTqVxbcLqvRiHDdVMl4xHOMNqy3zSjRopsuGJo6tOkl5v2gv0BB4Bk4rndAUWDrkPswlxLxu9+ZO/CcQRAgqfCgsB9I6G8MWdxoROO632w08OHtIiSBjf6O52h4fgCaCnoKNGzHw+JmA0EAsAyDsWIC0yMpUBRpWDrN+1Z1By3NRluzkEsJeLVaRzYlIpcS8Xq9jo8uoGHtumiqFtZ3SePZ2m4LosBiOCtjcbOBx7eKeLBQwIOFQs/vLExksTAxeCBYFFjcn8nB9YOBFO76936OpU9drHJegiCA7frgGPrGNWNeB0EQRDb5dTVxAKRZcruiYbOs4vHtq0/Ex8TEnB/DdFBrmvD8AMWMhFuTGeKPUmR/mRhKwrJdeAFR38+mRIwVFTAUDYFjsVfXwbEMLNvF2k4LFEiiP5sSwTBUNEHScbxo+p1uuhA45lQjsxWJRVO1iXBEgxQSlesGWIaOiwpi3nvqLRNzY2nMjZFg9PRoCt98dDC47no+3mwQP51mSPzt4fy+3bldUbFd1sAxNOYnM0cmF1d3WlExw9IWKcY+rBiu35/JpfZtFlI0boCiKOL7MjTmxzMAiN9znLrdedEMJ1Ks1cKkyqOFYvSzbrvRlFDL2S+uYlkaPEvDcsh0osnhZLT/dCvmd/Y4IrhC9agEeuF30EnsLjqN6LXfNQSe7TkHWqod/VkzHCgie2CiZMzpkEUed2dyGM6R85RM0+CwW9VQbhhIyTxuT+eie/Dbj8YxViB+nuP4qLdNsCwNIZzcKAnk/ycVFrieh52qFoq6WHA8D3s1HRxHR8/f8e9Yhu4pmPrkwSg+ebA/v34op+Cz12X4foCZ0RQEnsHjW0W8Xq9H+wzL7F/jSaxut2A5HjwvwHZFw6OFwqlitTRNYWEyM9BrHcbK9v7+uLzdhCIdvj8ehW7u70+O46Ok6+QzpQD5hotZxMScBdN28WajERWDXcVEJy+cNtQ5q99sNIgqf9cU8aOaypa3m2ipNkbzCooZCY8WCseedR1b4tuPx+F5Pv7y000sbjThej7aug2BZ+H5AZIyj1JNh+8HmBtPH7uXySIb5Un8wIeq2eDDonCBZ/GoL+Z4FG3Nigrdy7bRU7R3HMM5+UCj5j//Bw8G+t3LwO23vTYbPfbvVXHVecO3Bc/zB4pPO66HNxv1qAF8aauJD+aOnwR+VvwAYFkKlu1hq6yBpsmZu13RMDuWhiKRc9tyPLA0BYah8atfmYh+f7eqYX23jWrTQLVpopiVkU0KYBkaFE9hZZuIvjE0hVtTWUyPpiDyDCzHiz4HjqHBc3QkfMGxNJa2mtEesxw08a1HY/jWo8ObwDokJG6/yJwiU72/WCzDdkgR/WTYWK6IXLQvCFyvryXyDGiaitYIx9HwPP+A+GbMu0snN7Sy1YTj+TBtF7rpYFxgwVAU5sbTeLRQJOfUZ5t4tVaHptugKArVhgmBIwKbu1UtOjc8P8DvfHsGhYyM5ytVNMPc/uJmAxNDiZ5cFMvSGCsqGM7JCEDWA4XT7ZuyyPX41fVWb679qNjhYWf+41v7z6NILNo6uXaS5+w0tqTxf/mvPjz9hx0Tc4ORBBYUBdiOD4am4PkBqi1yBpmWh+XtNniOrBHNcHB/NocPb5Ncflsz8XK1Bq9rrXWfraflK3eGeoRt/8//1eMzP9dxpBMCfu9X9ptCnrwpR0XmbzYa+MrtYnReyhLX4y/k0mJPQboicQfsIj2sTzpNDcV5aap2jy2sGs6Zm0t008GbjbCBrqBcWF3B+xQ7jdknnRR64sj5c9TcXRcCE4RCNUTBtaVZEK9wfV8UFE3jtz+Zhe8F4AUGTdW6ccKujbaNW1NZeF4AlqHQVO1z1XHeZG7eHXhKfv/3fx+///u/H/38ve99D//9f//f4/bt28f81s1mfbeF3aqOdIIHz1KQRQ4P5vPgwyRQtWmi2jThgwQUfT9AMSOi0DUhYmIoAYahYFoecinx0AaIvZpO1L/9IAxikKRnR7nNCFX57C4lt3661T6B3oTrUUgii5G8DN10IQnsoUHYbvU4BOhRprgI6m0TixuNSClsfiJzoc/fjWG5sGwPSZm78YGY/nvBOubeuGwMy8XL1Roc14cskvGZN+3z7XYmgN7PU9VtvFqvw/MCpBI8bk9mQdNUlJjt4HkBPN9Hua5ju6zB8XzQQYChjIyZsbN3OE4MJeB6PlqqjYnhRM8ecnsqi+2KCt8PMJpXDhQAswyNTFKAYZFiCnLdpJhsaiQFjqXhuD5ySQFPFst4tlQDw1BIyDxmx1JgaBpLm0187V7vwd5/v533/uv//Pv3s5j3i3RCwPxEGk3Vhm652Cqr2CqpmBhK9DRXHdgH7cPvw7XdFkzLgyxymBlNg2EoDGXlA4mr7vvYDxu37kxnsV3RYLseWm0LT16XIQoM7s3ko4IQ1/OjREshLaLN0ShkyOSq0zQ93poM13MQkKAQqKiBDCCKV54f3FjV7e517bo+XIb87PtB2KRz/nOjpdlR8DmTFHBrMnNsoPvg3tP7cxAQJS+apgaa6nFaHNfHy9UaDMsFz9G4O5M7Ud3vfUc1HLhhICNzjY7zxFACP3sObIYTsWJiYm4WhuXCD4C5iTRqLRP5tIiHCwXQNAXH9SHxLIazEtZ2W+ApUiBgOx5amoNa08DyVhPbFRVJmcdYUQFFUXA8nxQ4hw2B5YaBTEKA5/so1YzotU9rN89PZLBVamOnosL1AqzutDFWUI6NDcTEvC8c9AcOj4O5ro/nyxWs77VB0zQ+mMtFvoBhudjcI0UOlu9hdbuJB0cUuPXHx2zHO7RIOSnzuDWZQb1tQRZJo/lOVYPvBwgCIsrRYWIoETWrjxYuV5jjOP9JkTjcnsyi1jIhCgyKGQk7FQ2eH6CQFvFyrR41Pd+byUUKwf172uZeO2rcnhxORu/J9YMeZb532efvfEZ7NR0sQxO/1nSif7ccD1fbNv5u0n0P+UGA1+s1vFhtIAgCMAwFjmVwe5oIAthu733quD7uzeSwWyViJyLPICHxGMkfLTZVqul4sVaD4/jhFB0+8hE71+L5AV6u1qAZDliWxt3p7JExAe/AmiDXOD+exnZFg+uRIsRBG7tcz8fkUBK1tgmaojCSV/DkTfnKYrWD7o+D/H4uRXIihYyEXEq88RNJY2LOwsZeOxJfKtV0ZBLCpQtZHDyrPWLTTOzbNEdNk+rsYbtVDS3NhuuRhtlBigUcz4fnBaECugtFYjGSVyCEU8NXtlvYqWowLBd3Z3JH7ovTIynwHAPL9pCQWPJ7FQPVhkmEfQZsIEgnBRQyUvT+L7PB9jJxXf/Qc+YqMS0XL7ryhsd9f+8STdWKCvBOik87rt8zwe+w/IYbTtAQBebMceNSTcfqbguO4wMIkFJ45FMivFAsZyQvY7SgRM2kNE3h9lQWKWU/Ht65hzo1Ap2chW464Dkm+tm0XXAsA9f1EXAMnK4mDpqmcHc6h52qBpqmkJJ5vNloHHiNkxgtkDiMYbnIpgTsVXWYFvndnYqGbFJAQuZxeyqD7bIGPwgwWujNn/Icg7szOZRqGrbKGjw1wGevywfed8y7S8f+dPz9/NtYPoFiWgTLMhgLfVkvLDwWOBq+yCEpc0gpPHIpAfPjaaI8rdvYrmigKQpPl6v46l22Zz0HwX7RMkDWz/PlKhISj4ZmAj6QTYr47FUJfkDiBv02/CA1Lgdy90fkTI/yRTpMDCXBMjRM20M+LcaTnGLeazqCKzsVDQLPYDivYLyoQzUcKCJ3oBGhO+ZjuwHyaQmq4YCmjm6Iftux++sn/ABM2KeakDgSA21ZkARSe1iqG9AMB+kEOU87Aha5lAjNdPDlYgUA8HCh0NNABhA7QzMcSCI7kFjjWd5D9PMZv4+V7Va0v26VVGSTwoWIYL9PsdOYfVIyj1//6iQWNxoQBQaPbt08Qde25YNnGfgeaf7kGAaaZkO5YTb1VqlN/LgASCV46KZz45o4WpqNNxt1mLaHlMxjYigRN3HE3DyaqgXddJFO8NEBazsedqs6AKLQIIssvnq3d3Rn5xAVeRZJhQfPMihkJIzkFQRBgGrThOv5KGbknuJE03LRUC0IPINMQsD6bgsIAIYiqg8ffzCMv32yDZomqhhDWQWeT4JutZZ5QD0cIGPPKw0Dvk+SVfn0yWPLCxkJa7ssXC+AyLMoHPI7wzk5UsJSdRvLW01MDidQyFzMFJWNvXYUpKo2TQznz9712o3n+ag0TVAUUEhLJHC22QACYmx/MJe/0QHDXErEblWH6/mgaepMY+ovip2KFgXudNNFuWGcSl32KnFcD9WmCY6le9ZI9+epmQ5yvhgpxGyVVXgeUb54ulhFo2Xha/eGwYajhvdqZJ/IpgQYlodK3YDjeuDDfWN8SDlV0fXKdhOqbmNqJIV0QkCjbaHSMBAEwGZJRUoRov2EY2lMHzOxYn4ijeXtJgI/gGo6GMnJSMgcZJEDTVOYGErC9UgR8VZZQ0LmEIAokGRTAvIpCUEQIAiCnkBzMSOh3jLJ5AGWPvfBn0uJ0X1EUThyilDM+0M+TZL1v3ixF6k3bJZUDOfkKEBZzMqohfchKJL0qzQM5NNiz/3a7fAWMhLuTGcPNbiHc3KklJ1JClFSZGY0hfXdFhrh05iWh1Jdj5QVJIFFUubRDlV47s/me5pNBqWznoeyRKXH80iiJxk6OIWMNNBeUm+ZsByv5z0sbtZhmC5mx9KnUn31/ACVhgEqfP2jJkUctrdajod6ywTPMQiCAKbtgqJIwDqdFCCGwZdUgr+wIPBWSY2+70bbQlO1j01yn3SWLm02UWuRqQ/DefnY/fYslBt6NOnFdnzsVXVMX4G64k2mo7KmSNy1joydHiUKViuh8nRMTMzNoalaqDRM0uTMEvGEhMTD9QI02hZaqoXNUhueH2BqKAHT8UFRFMYKCvyAjAhXdQdpRQBFUdjcUyEKLFgmiXxaxMp2M5oUlpA4jOQVVJsmPI9M8jrM5z4OlqGRTUkoZGTolgvPC1BtGfjqveGTfzkm5h2nkJFQqpM42GG23FZZRaVhICmxWNpqoto0QYECz+3Hgrp9BYAUgx9mTwPAcFaOpk7IIguWpbFbJUnc/umV2ZQY+cm+T5q0fT9AQuJQb+/vCaOFRE8MrK2TPSap8BdeuJxS+P1JgxQOFGJmkr0Fop3pmLvh5AGAJFN3qkStF+h8B3qkFqZbbvSZbZTaGM7JoGkKAscgkxQiW27oHff5ZZGLPiNZNCKFYYFnblzy522lmJWgGQ6CIMBORcXabguVhonRgoy0IuL1Zh2O50cFVqs7HtoaKbIoZiRwLA1JYJGQeBQyvTEEx/VRbZKpV534wtPlKizHhRxOsmVYCrmU2LP3VJtGpPbsukTZeuEIsSK+f02E65E546StoZyMvaqOkZyCbEpAW7evNFbbvT9KZ5g2k5L39yeKpnBvJh/HBmPea7xD7JNBCYIAlYYJz/dRyEgD58AOnNXhvtRt0wCA7/tY3GzCcjzMj2cgiyyGsjJer9fR0mwIPAOeY7BRag+UMxB5FhPDCqotAzzLIJcW8fV7w9gsqdjYa8P1faQTRIiuVNfB0nSUQ+iI4VEUBZqmolit7/v4xcsStiukUTchc1jfbR3ZhNLNSE7BTlVH4PtohNPDEzJ340RXiM3BRyrwQ9mLyeeehp1qb96w8hbnDS+SrXJvfLql2Ufaf5LAIqXwaGnkexruayi1HQ/PlqvRPX976vC8xmFUmwYc10c+LWJ9rw0EiPKK8xNpqLoDFsCjW0VMjaTQVK1o/ft+gM1SG/dn96eCkHqCNvyAiNmlZA4sQ2NiOIHNkop0QkC9ZSKXFlGu6dBNB5phQxIY3JrKRmtIFNjITvb9AIpEpmU4rg9JYI6sgVB1G219vzE6neCjhvHOdIMOnT2UY5ljY+0JiYObklBpmEe+75h3l1xKxG6FNEo2VbJOizkJC5NZtHUb1SZpAmQZ4idwLEPWTWiv35/Ng2FojOQUVOoGRJ4FzzEQOAabeyqG83IkGJGQOPA8g5ZuQxFZsuapAG3dhml6EHkGLEtjq6LCdQPIIgvLZiMbvtYysThAjUsn1247Htq6g2xSgOv50WO7832pBI9W54zoOx9pmjpTjjMm5l2kqRLfumPD+H6A4byCvOuDYSg8vlXAxp5KRFNTYs85nU0KGC0okZjL7anshV6bbjpoqjYUibvwBsTueqXhnBzVTWaSwoHmCpFnIYteOLWE6rG5ny5VIruo3NDxfKUWNX5+sVjGB7N5sKF9Ytou+XfXDxs/s+eaZNuxHZIyh+GcDNUgsTlRYM71efX7Zv2+m+14qLUO1qOdxPsWO43ZZySv3Gg/KaOISCk8/IDcu5kkD0m6Wf4zANiuj1rLgO8DNBPAv4F9VC3NwtImmeqaVHh8/YbmkTvnmyyyZ86l3Lw78Jz8+Z//+XVfwoVQbRpY2mwCALbKFO7P5iCLHEnedI3+og9RysinRZQbJEEzO5bGeCGBVIKHInFY3WmhFBZ379V0PJgvgKEpWI6HZ2FxJgBMjZCxnkF42FMUMDmUxO98exYN1UIuKcJyfCxtN6LJH+NDiQNjuRISh4cLBegmSUgNUtjmej5oiiSwaYY6dDTwUFZGQuLwar2GzbKK7YqG5ytV/NYn0xfSyNH/uV6EwHgQBHi5Vo8SZ422RYyp8Lu0bA9N1TqV0fS2IQosHi7koRoOJIG91iByf1HvUUW+143n+Xi+XIuUKFTdiQJ4nc/zzUYDtuuh1jTR0mw8nM9HidwvXpfR0m00VBNNzcJvfTKD6dEUsikRQRBEzRB+eKsRxTgBND14s9Dnr0t4ulQFALxYqeN3f2UGpboeNTp17t1Bm3YKGRm/85051JoGJJ6FwJOgcOc7CgKiErhT0VBrmvDCLvhsUojWZmf0cDfphICH8wUYtouExJ9bQZ/nGDyYL0A1bEg8G6l6xsT0n4/ouhdTCo+H8wVopoO13RZ2wwaMtm5HiQAAGC8metSvjnLMJ4eTyCQF+H5w4DH9a6D77KIoCnems2hpNliWPnexlSSw0ft6fLsIMyzyH8RA7Yw1B0jC6OF8AU/elPFqrQ4AeLlWx+/9ytzAZ8brtXo0NrnWNnF3OnfgMQf2VsPBWEHBs+UqXNdHuWGApkhjDsNQmBpJ4uFCgYxP9chnPaga3klQfVvRSefRcWep43pRAwdAFMsuuonjgA30lp6fbxO1JvlOspesQHkSc+MZAMDyVjMqHI2JiXn7KdcNrGyTdUvORjJxaWY0hR9/uQ2eZfB8uYqWYSOt8BjNK/j4/ii8wMdoXsHabgtqmMh1XB+O64FlaLAUBQqA5fhRA0fn9aZGUtG5LovcmRSkaJqKmj1N20U+JcbKkDExIIXyjxbI+uqPg61sN/G3T7YBAJrpoFw3oqRatbFv4ykSh3xaJA0eFMCzTKQGu13WyDTe8HmHcjIUiYPj+uB5Bi/6YntHJVuWt/Ybg2WRxYO5PHTLPbAnNFULr9brJKBAAfdmchc6DY5haNyfzaGl26FYzWB+y4GYT5cN2+27iDyLp0uVKH5BU1S3+4Zbk5lLnXL3tpJPS5AEFtYNV/R+2+jEq6sNAz9+uo1G20a9bcF2PMyNM9BNB42WBZahMDOWBgWA52hQNEmor+y0IpX7lmZFk6E9P8DzlWqkqtjWbTA0hb0qmUxDMxQmhpN4fKsAlqV71nG/6MJJIgwXuSamR1LIpcQonrG22zsx8LL9laFQNMZ2fCQV/tQTRM+6P8XEvKuMFxPQjHAyuMKfahLpynYrKhQr1w18MJcfeA8YZF/6uy93ItG3pc0G/v635zCSV8AxNFwvgBQ2ux2WTz2KezN5DGUVGJaDYkaGKLDIJEWwDIWmake22PpOGwEFrO+0oiJazXAOFGmbtodMQkA+LYGmiGEy6Gdguz44hsbr3RaauoOm5mB1p4nf/fZcVGB2E6AoMknhOm2v9zXueZr33f09sQx1oFCx3raiRpggIGt6kBzB2m4Le2Gx5V5Vj/Ir5EXJWtdNt+feOJD/6LtuJyyoTCk8skkBM2NpjORlcCwRq7QcDwxNYW23DUlg8XKlBtV0UGtZWN5q4Xe+PXtgDdE0hbszOdSaJt5s1GFYHhY3Ggcmsnf8JFUj0w4mhhJQJA73Z/NQJA4TQ4Plfw7jpuS3Yy4ekSe5odnxFFw3AM/RSCn8Ab/81kQGbzYaKNV0+F4ArkDjwXwhyosXsxLuzeYQgIg3MDQNmgbGCgmkFIHkyOo6dsoaZIFFAGCiqODzN0SJvqXZUQOXYbqot0wkZB5VCpgKz7dSTR+oxqWTa3+6VIHI+6i3LZirNTyYI7UO3fm+pMLhznT2vfPPY2JOS79Jm00JeDA/i0rTQC4tQTcccKwBgEKAcJJCGOqjaRq/+fUpbJVVCDxzoUXamuHg+Uo1isEtTGYObYI8C18ulvEk3KNerNTx9789g2xXvKEb03LxbLkaNWrMjKV6mof7z9VG24QbxlI79Q8dai0Tbmj3+H6AcsM4cxNH/15+dzqHB3N5WA5Rpz/PpNKJoQSWNpvRdJHuPdT1/KgBFyCNzKcR6nhfY6cxNxuWofGND0bxbLkCUMDDheKF1f5cJdvlNkzbI5PU6yY87/Cp728z63ttqIaLwA/QaNso1XXMHSEw9Laimw6er9Sic2V+In2m2u644vSGUm9Z0Z99nxRxyCIHjqUxM5LC+l4bNE1hbjx94Hc7CQbL8cCxTE+Cot5V+GfZHkzLhSJxaGt2lOQFgIZqYX4ijZWtFgIEmB5JgaIoNFQbmuGC50hhIY3e5+5v4gAQjnMcvCik0bbAMjQSEh/9fFgASBY5tFQ7Cj4FAbBV1o5s4nA9H2s7rWj0+XEqLzNjaSxtNOB4PsYKysWMGvP8qIEDIO8rn+41Wq9Tvfmi4FgG2eT1v4/xogLNcKCbDrJJ8dTqsleFYbmwHC+akrNT0cJpFAlQFAWOZeD7AXiWfKau60M1HEwNJ0mntmFDEYnqUrluwHZ98CwdOStLmw0AwEiedKPTNDA9mh74Xtsuq/jF8z2YjoeUwsN2PezVjAO/f9p7NyXzSB1h5FuOB910kVKIas3GngpJICNa58bTYBjyuRyGKFxsswXH0gfUS2PebyiKwvx4Givb5HycGU0dKAQQBRZ+EMB198/VesvC7Nj+Y9IJAR/eLsL1/BObF45yiEcLZJ9r6zZSCn+oMs1xEx9OC88x0Vo/zbnebdN4HlHy6VaismwyLWhigICB6/lRQBcAWqp9aLG6Hu6tHRotCymZjwItmkEmlOTTEjwvgMCxlzZ+ebyYwMr2FnTTxfxEeqCEzVFnKU3ToGkqchA6QfmmamG7rEUNKedpohzKymhpNpqqhYS0rx4WczSVJilEuM4JZAAJ0nEsDcNysVfT4+8uJuaGUG8TH91yPCQkDkEQQBY5BAFp8KYpF63w7KMoCm3dQT4rwbRcvF5vwPN9TA4nYVgu3mw2wLIs8mkJosDB8Xy0NeJfd8QRWIYGTQFM17l+FhISh9GCgr2aDiUcUR5zNJ4fYH23BcNykUuJN1rFKOZk+CPW1/pOGw2VFHQjIOuRogJQFA7YiPMTGUwMk6KjF6s17FTUUMGfqNl3B4mVsGG70jAOxPaOutc6ew9AkncBcKjv22hbUWEGAvLzRSfsGOb0fnchLaGl2qi3Tcgih7Fi7/vs/g7mxtORGv/sWLonYUNR1Hs7hUIWubgo/QLp7PO66cL1PFiOD4lnkE3woCkKIwU5UpV1vQDbZRXDOSWKf5fqRtTAAZACyQ6m5UYNHABZhzRNpm683qjD94GH8wUUD4l151Ii6mkL9RZZK4fF7ru56DXRvV9cR6yW3Odn//2z7E8xMe8qSZnHh7eKcDwfAsecqgCi2+7o5EMGjcMNsi9tV/bjjKruoKWaKGRk5DMS7k5nsV3RwDE0ZsYO5lOPe10S59nfqziWxt2ZPN5sELG2VILHbkXDdkXDXk1HSuYxVlBQb5sHmjg4lib53dEkSnUDAsccmt89jHrbhMAx0ExiQ9qOC1Wn0NSuThSu3ia5K5ahMTOaOrMved2211gxAc10oBkOMknhrc0bXjRTI0ksbjZgOz6GstKJ9vxxeQW+r+mB4wYrOGx05Qgsx8NYUUGpZsAPSA0CxzJIJ3rvq5TCYzgvo1TTIfAMpvryBw3VAsfQ4EJ7yvMDbJZU6KaLfHrf7/a9FhSRQ0u3SW4hAGzXQ1u3D53Ow9AUWIbqaXSut62eJo6GSvwkNcz7ayZpiG+qFhSJO1X+p5/+933RIk4xbzeH5Yb6/fLtigqOoTGck0FRFPyuqTYdRvIK9qo6FrcakEUW92aJGFpH8G0xrB/o3Oc8x0IWWeiWi2JWQjYhgKKAXJpM/bVdD4rEgaU7jx+8ToBjaXh+ED3GMIktwDJ0T76vrTlITvFX2rjk+wHW99rQDAe5lBjnVGLeWlTdxmZJJeLLw8ne83EkRaZ6huf71p66X6MX4EAckWXpY6dCHYduOmSaFogItNIlItnULHT3aDba1oU1cWyU1OjPtutht6ZhYeLwKSItze6ZctxoWz21gTOjKbzZaMBxfQzlFMxPZLAYCmxPj6Z6mmT66yHOIyLbsR0AhDFWE1MjqQuJzWWTIj68zR9qd3Smi0XX0bZO1cRx3fZ7TMxZ8IMAxZyEcTUJGsBQRkIQHGyCe9vx/LBmNAggcAzqqo2p676oUxL4xN5yXA8SQ8HtmxR0E2iqvedKvX22WEzcxHFDkUUWtdb+z93Gz1BOPlCo2Q9FUYcGBRSJi0ZdMQwVOUuyyPZM+JAFFtmkiOzdfaNqY68dTfHQDAeTwwlQFCJDTOQZeJ4fdYj6PhlfSlMIRz7yYJiTA3siz2K7QoIsksBiaqTXgPA8nzSnUtSBJHfHCHRcDzRN9xTWru+S63c9D23NBsfQyIQjGxmaOI80TYGhKSQkDo9vF0+81tPA0DR4jobtEANJEllMj6YQBIBhuyhm9gNnjusduKaY08GxZHTn247AM6BpCrWWhVrLhCJx2Klo4Fg6CjAqEgc9TORSFCDxLGiawoe3h7C624YeBgkTMncggKpIHKpNkqidG0/jznQWHEum71AgjsZRCZdai4zm5lgG1ZYJhqKQShBFG55j4Lo+LMdDJimQPQSkycS03Z4O9M7fySILmqYPXZ/dcCwDjiUjyCeGkrg7k8P92Tw8zz80EHUWgiCA4/rHvn+A7DeLmw2ohoOUwmN+PHNk8KjznCxDnzrA5LhkrzxPh33M1ZFNiVFwPwgC2I534F7iOaanYFLuGs+nmzZYlgXP0gMrnvp+gOWtJpoaSQLcmsiAZWjcnTk4heIsdM4d1w/ghmPCO/dzEAQIQJIXg6wb3ydTgCIbQ2KjQCxFEWXcTJKP/o5hKKQGbDZhaAoCx0QNGpLAHrrexHBv7RjTssSGI1OJ3SJwbDQhg6YpiDy51s4+wzLUseu5uxD2OBzXw05FQz4lIZ8CbMeHHqqenwWGJkpoG3tt0BSF6dEkHNePVL3Ia/rnOv/o8DXeF86zd3foqEkWr7mJg2VoTI8ksbjZxPJWM044xMTcEDo+OseSfSgh89HPLEMU4ymKjMkNAKiGjc9e7mG7oqKYkcGFitv/8Ndu4fVqBZtlHeW6DoTq/YrEIZcSo+TK1HASrheApoJz256Tw8lTBfzfZzZL7WgiiqoTUYw4+fF2cVk+WbVJpu1QFAXNcCJxD88PyBRcABRDYWEsA9v2oBo2cmEAuJMobKoW2jr5PcvW0R/n9vwAvu8fGtvrptvukUUuuhYu9EsO82v67VblnBP+jqLjjwxqj9E0hYUBm8fyaQlCaO93CuZ7X3uw774T5zxKVOJdonNPvQ/v9aLYLqvYq+lwHB9e4IGjadQ0EzRD4yu3ingwV8Dnr0owbQ9e4CMhcWCY/fs9neChW24kPKCEa4/Ehonf3GnSUiQONEWhoVnIJkXQ4f7i+cGBWBtFUVg4o7qZ43oIfFIg0Ynp9dN/r3RiJJ4XgGUp8FzvPnRvJnfiOj8u/tfJC8TTY2JirgeGoc9kKykih5ZG4oAsQx/IYZyXTIJHqUZsbZale3ITY8Ve9fzTYodFpp29i2Np3J8lcTfPD/Dlmwpsx4fj+GiqFiiq136yXR+u60IWeSxMZrBd1jA2lMBIVkZaGcwfUEJBO0Vi0dRscCwd+XqH7Zlkbw7AsTS2yip2qxp4jsHCRAYcQ0e5miDAkfstyek4EHjyuMWNRpQLXvKaUTHwUZzWtrsqur+/i+Qi4ouXCZkWeDE574TMkWYl1YIssJgYGiwmIEtsFNOnaQrDOfnI3+22z6dHUhgrKIfmFJWuteYHAapNHa4bgKIoqLoNlqGRTYngeRq67cJxPTiuD9fz0WhbCAKSuwRwoKaiO5cAkHunW0yq89oCzwAaovxC9/qnKCoU4KjDdQOMFZVDm+xdzweFXn9keiQVN2+8J3Tv2UchiSyCIIDrBWAZCoWUCNv1UG2YoClg7hDfWDcdWI6HyXCd7dV0JGU+PJfIPec4HkCRSbuKTMRamNDmnx1Lo5iVsFvVsB5O1LNsDzxL1sDUSBK+H8C0XRQyEmSRg+N6R/qQsshCDeMabBh3CMKCxM7eIArMsXvoZfjkW2W1p/5J5JlDm7ti3l8O26OvGs8P8Gq9HsUETLuBx7eKPedEd+1Ld14eYV7eMGw4HpBKHN7I2W279dfRdNuzr9bqUUPAK7OOr9zeV7dXRC7aqxiGiuqHTsNRNmQuJaLSMBCEOfzjxBY68VE3nNjVfx2yyOHxrX27qKnaGA7rL2WR6/mus0kRjlvHbk1DNilgKHuyPXXUPaMMEGM9T8yDZQ6vOxHDWoqoZuIM30vM6XjbfYNB6a5pumnQFFBrmGiEghK1lnkjv4vRggLX8xAA4Bga48WbV/uRSwlQRBa2Q0EUmAtr7rtK+vfN/v18UOLd94YyWlAAiqjh9Y+7Og9z42lslVW4rk/GCYebrSxyuD2ZRaVpQBJYjB4SROhWtAZI8OHOdA6luo5Gy0S5aaLWtjA7moYkMHi1XkejbeGnT3fA0BTSSRH/9O/dPTRh2o3r+VBEDhQoSAILrys7XarrWN1pQTcc2OFkgHxahCiwmBxKYGIogcWNRrQB357KRo0eO1UNP/lyB3Y49aCpmbAdMk6soVpIShwkkcP8RPpSFLZomsLd6Rx2qkQVaLyYAMvQPUln3w/wer2Olmaj2jKREFlyTePp2GF8R+FYBndncnjyuoRMUoims3Svt6mRFFiGhuV4yKdFLG83oeoOOJbGtx6OYnGjAQB4dEjjUScgqBoOskkBn78uYXW7hVrbxO2pHKZGkrg7nTs0ONQJXt6ZzoBlSYfnJw9GsFPR0dbtcEqFgO1QbSqt8PhisQLL9pBLi/jNj6dh2i5++JM16JaLdIIkKtqaQwouJjKHqvkw4bjizlSS8aKCWsvE0iZJFAzn5XMFLx3Xw8vVOgzLhSgwuDeTOzLgs13R0AyVEustCyVZPzLI+mqNKHAJHIM7M9mB1XU29trYqWigKLJHX5V6Vsz5cVwPL1ZrMC2iHnd3Zn8tkQaLbKRQNj5EkoV/9ekGNvZUMAyF7zweH7jwsVTXUQunabVUMqL7IoomfT/Am406mqqNStPAXlUDw9AQeQYzo2nopgOWpUFTFGnQkngIPFk3hynrGJaLl6s1OK6PhMzhznQOk0NJMDQF0/ZQDIO533w0Dul1CYbpkLN6QDuHoijcCT9XAEcmYTt7616VNMWNFxNgGBq3p7IoNwwM5SQAFDzPx3BOBs8xqDYNLG814Xo+DJM0o/EcaZTpXs/bFRWbeypAATMjqSMba5e3mqg0DGyW2simRGLMByTQfR5VjZTC9zRp6KbT0/ndb6/FHI3n+XgZ7t08R+PudO5M05wqTbI234b9e26cKMYsbTXw7cdjJ/9CTEzMtTNWUECBTJGaGklip6pBN1w4ro+NvTa2KhoskxTZMAyNpMThs9d7WNtRkU4ImB1LgaYp/K8/Xka5ZiCggPGCgluTWdyeykR7U6dQZX23hd2qHtueV0y3gjoQn9dvG2s7LezVyLpYmMhcWPzF8wP84vkeyg0DoACWpjE7mkJbd5BLC8gkBaxst0gAfjiB/+v/9ITYzFkZ//S37oIPC4GySRGttA3H8ZFS+J7ipaZqRQ29ubR4ZGzP8wO8WqtFsYT5iTRqLQu+H6CYlfBitQbDdCHwxI7uNJAUsxL8IIim/110kD0IArzZaKDRtsAwJI530ZM+/urTDfzk6S4oCvjGg1F89ysT0b91++OzY+kjJ6tphoNXa3W4no9UgsftyeyNTPwMQv89ddYGgPeNlmbj5WoN5boBiibJ+JkEUSqfGklidjQFCsCPnmyj2jTg+0BS4ZHLSEhIHEbyCtIJAbtVHQxNYayYQEuz8WaDFGpIAgtJYcBxDMaLCVAAXq/X4PABMgkBNEX8W4Y+f0GT7wd4vVHHdknFl8tVpGQOxayMH3w8Bb7LN25pNl6v16N7ZXY0hS+WKni6WEGlYWAkr+DRrQLuTOWwuNVAS7XBsjTuTmeP9Ik7fnkQkPxId9yjkxdAQKYQnqcoOyYm5mqZn8hgu6zC9XxSIHrBRXC/+pUJfP66DMt28cFc/lwTajt4foDXa/UoD3Knb+9qqhZer9ejJrqZ8RTogIjwTYW5i52Kir/6bAuu62OsqODXPpoAS9P4819u4NMXJSQVHr/xtcmeppPDGC8mSMO/xGKrrILniICZZjgH9sx6y8TSVhO+HyAhc1HBrOG5+HKxgrXdFinC5ZkoZtu/35brOv7z362Sgl+FwycPRntUlS3H7b/EiM4ZMsie/67gej5ertagm+6pc0M3iZ7vliFr4jQN3nNjaWxxKhzXx3BeOTInt7bbwl5XzKLWMlFvHe4rFDISfD9ApWmgVNOxW7XguD4KaRG7VR27VR0AmXa6XVaRkHiIPIsAATTLwf/tj56CoWmMFBQ8vvX/Z++/miRL0/xO7He0H9citEidWVm69XT3TGMAzGCAGcB2bZeE7V4sjbe84QU/Aj8BjbY0o3HNSKORBqOB3F2AIBaYnRmM7GndpSsrdYaOcC2O1rx4j5+MSFWZJbpE+/+mKjM9PFyc9z3P+zx/sczrl5eK5y4ZKtfOteiOXU4GDsNZhn27X7zv+e9uN0psrdQwdIVWzShmnvM66cHRFE2VWe9U2DuxaFSNM0lEBz2Lo744j1xYF6T5BX57cHrPXmmXufAUZ/xm1cALYqZ2SLtRolY1OLdWL0jCG0/i9TzahwoTHhxN+fE7R9w9GEMGsiLTqhq06gYPjqfUciOYi5vN4lpcbZfJMvj5B8f0xi573Rm/89oaV7ZaBcfFckPeud0jSQTv5vJW4zEjuKvbLQ77NmkqhCjv3ulDxplr/ln1ve1F3M7P5M2awdXt5gulgj0Nj/bnFv26BU7jsG9z2BPz4Itf4B6dJOmZ5N1Hr9MoFrXInPtybbtVzOWXGiYf3BvyN2/tk2bwxpUl/viHF4ufPc1PU1WZSxt1do8tgkiYOdRMjZ98cEySCDHiaa5fHKekaVYYVFRNjSTNGEw8ahXtqaleT8Kj/cGXzrXO1MjXz7fZOZ7iuDGXNprP7E+WSxqk0B97lE2V1se8jlbNYPdEOGx/4+rZfWgw8dBUuRDEnQydotZ/Eub39SddM/PaYeaG1Mv6Y3OZ/tjjwfEUMthYrjy3UPbjYGgKL51v0Ru56Jqy6KV8zvi6nA3+6tf7HPYEp+lHb26y9RUzc4uTjL/69T7DqQ8SHPZs/ut/8tJXzlT5v/hHF/lX//EWXhDzw9c2WGp+9UQcnWYJkIiTDEPTnpsX9mVCo2pweavB2AqolDTWOs8OXngavno7wQKAICluLD375pllGaOZT5JkdBql59ps1Ny14klonmouPAnLTZPxzBfqVlW4VxiagmkojKbCpT9NU372/hGqKlOv6Nx4MGRih9QqIkL0Z+8f84ffOw9QNFYkRFGXZhmqLNEdOWdcKZPkYbTX7vGMmR1w0LMLl9JOw+T6hTb1is7UDgqSa5pm7Hetguh4MnRIEuGqEUYp/bF4L3GSYrtCFLKhq+x3rTMijqkd4AUxzapxhtiXJCnDqY+iiPj65zkolgyVixuNM9+dkrt9N2sGjhcxc0KCMGY48QhMjQ1dZa9rLUQcX2MYmsLmSpUwSgtl+ekYZ0WWiiZ6b+wymvo4vhALVE2Na+dbSEhUH2mGh1HC2AowdIW1ToXjgc3OsUV/4mG5IR/eG1Ava/TGLpuPFOviMCgc4828WXntXIswSvPGp3j+d+8MWF+qEMUJf/azXUqGgmlojKY+d/eFkGtiB4RxiuNFuH7MxY1GsT6ftueYhnomTnz3eFgMCrpDl9VW+bmJtrYbFkka5ZJGd+TiBWLQ4AcJJ0P3qWR4L4iLuPJySTsjKjuNwcQrXEyDSDjvX3yOePb5Y0E4+uweWwsi3ZcYri/26IqpUSvrnAxd/EA0SrwgpjtyzhyoyyWNy6cIL8cDm/2uiPtMkox3bvfYXq0RRAnjmU9JV0nSlDhvdJ4WV6WPXHtPuxZfFBM7KIRKt3fHSJK4Vx10bRRZYuaEtOulXOTgc2lThVAII59UTxz27cKBw3YjhlOPldZDV60wSuiOXHRV5nuvrAFCMHYydJ7oSJ1lGcOpT5pldBomiiySxubry3ZDxjO/WN+nUTU1qvnnP7EC/DCmVX86CWn3ZMbUDhhb4r5/Kf8dp9dzkqTsnlhYTogE7GQzllvmYzWA7UVFOkOtrNOfeFTWNEqGQq3y2R5MTEOlVn6YbLKyGPQ8NwZTv9i7wyjlaOCcufc89/Pk3/XTSH+/Scxf//3D6Rf8ShZYYIEnYTTzieKUdt0oCAtpfr7OPJHeOJ356JpEf+xxNHDIsgxNk0myDENX8MOEwcTFcgO8IELXZQZjjyTNsNxIRAIvCQG28Uhz2A/iopbPMpFWuag9fzNYbppFZLqmyjQXKRxfGog6/uy6+Kz6L1Gc0B2L86cgV0i8dmkJSZJIM5GA99olQRT627cOCWNxtuiPXX5144TL51poqsxqu4zjR5DlaZ4SfHh/SMUUTpbzs8Jo6tOsGlRN7bHEuuHEK0h8UZzSH3vFWeVoYOPl6Z9BmHDySK2/2i4XjnSP4nhgM5j6bC1XX+hzG1s+YSSc6eaJwUmScdC1MXQFL4i5uFGjXPp0tbMXJvz8wxOAgnjy+qUOYZxS0pWz5/GT2VPrucOceApCVD+2/K/t/nnQs89cU7NW+FgS8gKPI4oTJnZAmmWkUYqLxNWtJqudMmGc0s8dI/0gzs+2MjvHM37w+kPh9TxFd47be1ZB1LC9ELNUpmpqhbPiq5eWiv1rnjYt+s0iKbte0RnPfCwvYqVpFik/c5zuRZzuz40tn5kdcvdgwmTmE0XC7fbW/uQMuXG/a525VsjEUHQ0E33A4dRnP1/Ts7zvEMcpBz2ba+da4vU+0lvfPbaK/t/xwGGlXS5EZXsnVpE0dNCzWW6VP5O03gUWWOAhij5c+vwzx+eBpsqcfwox9TQcL8JyQ6plneoLkMNLusr3X1v/NC/xMYymftFri2LRMzrdUzzo2WSZ2H+7IxdDVbi02aBiih5dq1bi7dv9ImHpqO9w2Hc4GTpYTkiWZXSHDj99/5h/9J1tFFl66rzX8SMUWeLCRoNXLi2RpBnDqceH9waUDRVJkoo9c+/U3twbCWHg/Fx4e28E+Tx293iGLMG51TrHA6cwuQF4904/Fxym9EYuP/vgiEsbTWpVA0WSWGk9nbAwtvxiVqJrSrHnf53RH3u481o6EvOmpxGxv8qY1wcg5uqH/Rf7bhVF5txavZiPu15Eu1E64xjtBzHdUz2Ljx6MiuvSC2Levd3n6naTDFE31Ss6ZVPD7VrIskS9onM0EKkBKRmOF6OqMmMrQFVktlereEHCXneGqsgcDRwkRGr33797yHLDZLVTLnr9jaqor456Fgddh7KhUS1rxfteaZefavA0r5PSNMN2I9xqTKWknZnzRHEiiJ75+93rzj5zgvBw6j1x3rTAlwOn9+zu0EFVJHRVeew+cDJ0kCXhXkyWcTJ0qJd1Xr20hONHTO2AvZMZFVMrzqm1ijBkm4s5Vlpl/u7tA4ZTD8eLsdyAZs0QRO8oZqVVoWxool+Rip5Bs2Ywtny8IMZyQ8olDS+I+etfHRSJUJ2GyX734bllNPNZdszHZn2aKnNhXewBv/qoW9T1/bHHt66vPNV1fs7T6Y3d4kw+sQJ2jmeUSxqtmvFEw7nnxZP4TwssAGKPPuyJmT55z+iLEnHomkKzZhT9s0drse7IKdZqKVTpT7wz3Jcfv3tYpPq+d3fAt6+vABKKItIZjvo2w5lHpaRju2FBOHf9mHfv9HH9mCTN2O/avHSuWaR0thsl0ixjMHLRVLlIsFtfEiTj5+XLgOArHPUd+hMH09ColDSuX3iY/HYycri00Xz4eCt46nodTn3COKFkKKiKzPHA5cr2k/taaZpxMnJZa1fy3+OytVIreqqP8jGexc84fV9/2jVTMTXSLHuiEHbneMrMDkgz8bpW2+XPLHmoVtY/c9OcBZ6Mr8PZ4LBvs3di4Qcxsizxzp3+V07EMZr6hQknGfTGHr7vU6l8MvL9F4XxNGKlVcb1IlRZcJBepFfyZUB/7GMYCqoiIcswmHpfuesJhJnrp50HLUQcX2PcP5wK1RiC2P3qpc5nojh/GhpVg9cuL+EFMbWydqpgkETfL4MbD0YMpz66qqAoc3kGxX9Px67PHTt6Y5cwSqiVdUYzn82lKscjh/WlClVTO9MAOR46zOxQxJxKcCU/4c3n0o+64MmnPo9GRWe5ZaJZMn5eQM4jWcVrFP9z+jMcTLyCBHcg27x2qUPJUEnTjBu5SyHArBU+dwEKsHM8oz/2GFsBUzvg/FqNo77yMPpIOvta5M/xe13gi0WSZtx4MBTuR5qCWVK5ut18qho3CBPRgMwnmjMnYK0jBBijmcdL58VhJooTPrg/LIYE26s10gwGE5fxTKTm1MoJe12LtaWzas00zfgoVwdrqoKuK7ycu5MPp96Zx0p5FOHeiYXtR7h+RLMmDiCKJOMGsYg2BJI0pVLWzvzs8+KxNfCcPzu1A27tCUcRSYKXL3Yee66nvQ4vf+3jWUCcpJxfrz2VHP3o3vu8jpyPPmqx1L+8cP2ID+/nYiKJ3OXl7GM+bq8+fQ+cPz6MEj7M12pv7OYJNyVOhg6vXV4qXHaXWyb9iUcQJmiqzNpThgMvitMvWUSkCvLUzAkYzwLGdkDJUIthX3E/f8p7ffTvT/85ilM+vD8sRB5bK1U6TZMP7w+LBu+F9bPJFvcOpoU4czDxePlCu1hvEyvg9v7D9f3Kxc4Tmx6n456PBg6vX+48senRG3kMJh62F+F6USHiOPOeJImjnl0IwdwgfmLtdXoLaFQN2vUSlzYb1Cr6J4pAfRZEMlqLqR2gqvKiCfMCeOzW8gn34Iciji++wX95S1y3d/YnZFn2uZ4NFlhggRfD3O0d4GSg8NrlDooic2t3xIPDKWMrIE5Tdo5mlHQFywnxgujUPViiZgoBdnfkEqcZaSoimf0gIkoEQUGSxNAjipPH9gDpGeflBT5ftOolXrvUIQgTqmV9QZ74EuGxM9ln+NVoikyUpMWQdWO5yptXl3GDGF2VufFgVDz29FEhyzIOhzZqTkRY65SL60dVZP70ZzsFEaNmaqznpgxRnHJrb4yW15una+tnnVmfVcM/C/cPp/zkvSMAPrg34I9+5/xzNbKPBw77XVGfh1GCLEtFjXxzd1SIbG/tjPgXv3fxjPP/i0KhaFkColdye2+MLMukaZqLOfJ99hnv+0XPfl9lPP5ev5jX8VVDo2qw1q5guSGWG5IkwrzI9sWw7a2bPXoTl8HUo6SrLDdN1I+5F8yvsyQTZIkwEqIH2404v17n/HqdZs0QxkiKzIf3h4ymPv2px0ZHpNoGUUKWQb2q853rq4XjYhQ/7EUAnFurFcmzkiThBzGjaYDjx8RJRrN2NgVIPO7s61Vksd6Kv89HBk/qhcx7j4/21p/V/jvzb9Kih7bAAp8H7h1OhSgL6E88XrnY/o31FSxXJBrNe6/Xz7e/UBHhI1vXU2cKWSbqKlmGuweTgrCztVp9vMaSpeLvJnaI60fUJh4f7Ywo6QrjmagZT897xzOfO3kSuyxLvHyhxc6xheNFdIcuJUMpDAHP7MEI45c54VaSYLlZFglx+WPleeErPd4jRpKw/YiJJWYjFVOnXjF4+VL7mb3HKJ8VzUnJla95Cgd8dv3FLzued672cZjPxwG6Y5dXL3Yenk0erS1yZ+/5daXIEnsnFktNk2bNYKVdpjd26Y1cpnbA1kqN82t1emMX242YesJIo5P3bDtNEzIxI0hyg0eyjIP+DE1V2DmZYvvRGcGW60X86ma/MJxUNfm5xCvzz2upaXIyFEkb7XrpkfmFdOawIj3v4PM5MU81AR6bNy3w5cDpddUduURxiq4p9MYur5xaG44XsZefoSUJ1pYqLLdM7h1MOB44xElKf+Jzfq3G9ppYB6oi8+qlDpYTomtCcCErQqDh+hFhnOL6MSVdxdAUpPxecDiwSbMMWZIYWz7tuokbRIytgJKuMJr5OH7M371zVPy+J93vngZJkpAkiSwrLvynXvn9sceDI8HTORk6dBolNFXJhSgRFVPjqC/z2uWlT9xnezr/aYEFzu7RX3Qf6Op2k6kdIkk8JpJyg1jsEXkd/Sif5eyazHhwNCtq/ChJeOv2w/vchfX6Gd6b44n1D8JY8Q+/K1LksgwqpsqN+6MiGeRRQdWLfGZ+EPPWrW7BIZAkzog4Hq9Dnv7cYZScEcl93Nz8dN/w0Wddapr0J8LUU1Xlom/y1Gd6xjUzc0Ju7o6K7+nlC2fr6u7QFSZQ+WO//fLKM1/3Al9OfC3OBllGf+wWoqWv4plOf6QuyHh+Dt+XCX/+i92iH3DvcMprVztfORFHlmXISGSyxHMTPb+mWIg4voaw3JDDvs0H9wZkmXDpbzdKBGHy3M70nxSmoZ6J+QShnC8bKn//3hF39yecW6tRM3WGM49XLnWI4pQoSVltl/nBG8JdLEnSwrFjagUMZz6aKqOpwmF0e6XGxkqFzeVa4QR+NLCFw2CW0awZopDMRILHftemVTdY61RY7ZTp5Wrf8+s1BlOPP/vZLpYbkCHRaZroqsyFjTqWK1Rq1XJMSZcLFwDXD/n5h93cmbTESqtMf+zy1s2E7bUanUapGDKBcBWYF7NpmnHQs3C8mGbNKJTGpzFvxjpeSBglhJEg2CiKRKdRYjjz2VyuYugyav5af1NI0oy9kxl+kNBplp7pqrPAp4fnRwX5QlNl0iR7ZpyaqkiUTZWpFXAydtg9Fq79tbLOftdCVcQ1bLtRMYgFQRrrjlxsLyJKUnRNplnRMQ2VMEq4uTNCVWTOrdVI06wYNmiqTJJklAwV24voj0WKh6ErNKoG33lllZs7YxG/eLnDvaMZjh9Sq+iMLBfHDUnSDEmCTqPEte0mUzvA9WOubjdJ0uxM03Bmh/zpzx7g+jFvXl3mmy+tkCQpkiwaq7WyyisXl547cm4084uDUpbBxPJZ71SYOSEzN6Rm6k89bO2dzDgZOhiGwnq1zGr76RHPy02TqS1SRyoljY0nrPsnQdcUzq3V2O9aKLL8iRzgF/jNYGIFDHPX/pKusNQocW6tjuVEWJ6IEB/bAbYXsb1ae+xeCcLB9tr5Fnf2xuiawndeWcNyw2Kt2m5UiDiCMMHzoyIqVFMVXr+8RBAJwZciiybnQU/cGxtV/anxl2EY84uPuliOECa8dOHhkKFVKxUCkZfPt7i5N2ZqB6y0RdrNqqZg6iqteol6VUdRZKqmxvpShTRN+dXNHsOJz1qnzDdfWmFrpYrjR3hBTKtm0Gk8JLU7XlQ0X0CsT01VzkTAjiz/jIhjZPnF/797p8+9gylrnTLfvr7C2Dq7vqd28EQRx1wEAkJ0ZrkR7frja1nXZCZ2QBynVCsaGUKQtpELLA96FuNZQJKm+VBUompqZFnG0cDhg3sDNFXmO6+sUS/rrC9VOBk6qIrM1XOtz/VAJcvSCzkEhZEQBMZJylqn8kKRtl8nLDXMIjGqbKiPpVI9L+YCx6UvgRvz5c0muiozc0IOevZTk6YWWGCB3zxO34+CKMHxY0q6gu1G2J5w0r+1O8J2wqKZOLNDkkw4RtbKGjd3BOFbUxWIE4JECDZWWiaDiThTG7pCu15itV1+jPRkaArbqzUOeqL2/E2eMxcQTqGPJoct8MWjZKhsrVQ57NsoisyF9c/uTJbm/a25qGJjqYKhK0Xvrl0v8f69Aaoi8U9/cIG//vVBYdTQqpWKtQqiV+MHCUEYFz0EEC64uiZMSqpllSB8WG/3xi4zJyTOe3KtusHYCjANlU69xO29MWmWsd6pUK/qInWwpKFrMn/xi13SLOOb15bxQ0Fwqlf1M/XSzsm0qJ9LusJP3jsqavx//J1t7h9Omdoh59drvHKxU/zc6f1Q1xRKhkgZMlSFMHr43twg5tbeBFWRMUsq26u1FyYd6brC739rm7975wCA1y6tFIRyWZZpVFXCKEWWpULE/SRsr9Twghg/TFhqmF9rd87za3Xu7I+JYnHdVBci8efC5nKVy9sN7u5P8IKYq9t1WrUSg6lHrayxe+KhyjLrnTLHQ5f+xOO7r6wSxcmZXtNo5tMbuaiKTJKmBemvXBI9+fHMF6JQSVyXc/LGQU8kWNieSO2Z2D6T3LV2MPHxwxjHi/jPfu8Sv77V5SfvHRMnKd+6vspSw2Q084v+WKtmoKoyKx0TL4xI0gwviOnk132WZRz2bYIwYeoENKuCRLm9UsMLEyw3oj9xWW2bXN5qcmGtRpZmDGc+pq6ytVrFD+Mn9tYvbTa4dzAlSVO2V2tnSCCXNhrcP5piOaIvuXM843zu6L17MiNJxX72KKFlgQUWeH6MT92jHU8QPI1P4W79or97zuckE67/9YpOkqTsdS38IGG5ZT4zBTWIEvY+o/2gXS8xrgccDmxsN6RiqvhhXMwlzq/VubU3wvYj1jsVMoR7rnDNrTCeBXzn5RX+9q1D3DDm8kaDzeUq7ZpBf+JyPHSoV3W2V2t4fszMDgsCquvHHPVtZo7YTxVZYpgnI8kyxHGWf0wZ798dMJ4F/OPvbqNrCsstkz/9yS5BFPPdl1d57bIQAiuKjOOG/N//ww0mVsBau4yqSBz0LF6+2H6YFJlmrLTKaKqUk3sVVlplJCSiOPnYuYwsSVRMLScNy8I1/hTm821Zkji3VnvuOc+XGSutMlM7YJrX0nNRzdcNzZrBUtNkMPVw/QjDk9k9nrG9WnshQtTps4Dnxxz2LT7Kex3femmFZk3nw/tDVEXh+6+tcTSwxVpzIzaWKlhuhO2FJFnKvYNJIWb1ghjbC7m63aJsKPzyoy5xkqIoEkuNElMnZDT1uX6hzcsXWtzcGVMuqQRhjOPHXNqoQCad2QcBHD8mSVNmTkgQxrxzs0+jYvCd66vPFOSeX69xZ2+CVNE5v15na7n6GIdDU2XOr9XZ71pIElzcfLEezcfxEebvJYoTjgY2aZpyeau1SNn7EuHCRp07+xOSJMXQFXRNiCT2uxG6JnNlq4UsS2iaTBDGWG5EsyqSJ1q1Eh/eG2B5IYOJhx8kDCceiiyxuVxl78SiPxYinuVWmXNrNb77yhrDiYtZUqmYKuWSylq7zNpShSwTdb7lRBhaQLOiM5j41CsGthvhBRH3DydIksT5PFHD9WPGM59r51rc2ZsQxAmrrfJjhOmTocN4FlDOz/WXNhuFier5tfqZ1JE4TvnVzS7jWUCWpSw1xbywVS8RJxmaBqoiF7PAKE5xvOhTzbiexH9aYAFNlbmwVmfvE+7RnzUkSXrqda7nfD3XjzF1FU2WeXA0xQ8Slpomv/PqGv/jX90lSVN++PoGbiDWrixLxEkquHtuiK4qGIaM40WMLJ+1dpmXzrd461afOE5YbZeJ4pRf3jghzTKubjcZTj0mdoAsS2yvVEViyJwvs/x8fBkAL0hI04yZE6KrYs87je1V0ZcLooTlXMz5NKiKRKWkYblCxGY+Uo8Kceis6Htd2mzw4GgGwMWN+pm6RlNl4kT0ZpabZtHjfRI+7r5+mtdAJu7Tp/fLSllj5obCiKOs84zQj4/FYOLy1q0eIOqr+V66wOePr8PZoFrWWW2XOR46aKrM9tpX7z2kUoamSkT52VnXJLLsq3evP+jOOOrbZEDVVDkeeqy0v1rcj7V2GS+MsJyYlXbpS8Gn+aLw1bsCF3gmkiTl9t6YJMk4GbjFYSiK3c9FNRbGKaTpM13vwjjlg/tDKiURa9YbubTOl9heqfMH397mj39wsXhsFKdkWYaiyBiaQhAlglQeiybi2Apyhy6Jdq2EkheOt/fG4jGyhK5qnFuroakyS02T44FTuJwZmsL5tTrn1x4WRP/qT28WTSFVkfhv/tl1quazGxT/88926I+Fir87ckjJmFkiJvJ44CDL4oA4j208fbA7GTocDxySNCvI7u1HhrvlkioKUE0MqlVVWJWVSxpLzTKX88fFSYosSc/8bqM4RVWkz8wRab9rFS4olhtiGurC1ftzhKEryLJUKME1TXmic3aaZnm0ns7GUlU4eWYSaZbx4f0hS40S7YbJcOqjKDKr7TKSRDH4uPFgCEiYhpY3cCo0qiXWOhV6I69odsRJytXt5pnru1wS6TO3d8fESUqtLCJYX7+8BECzavDB/SFksNyqMHUCSrrKvYMZthuysSwGJhtLVdY6ZUCiUTWwvYjDnsW5tXpxrf/7v79fOHL++S92WeuU8YIEP0gKYcSLNBgFSephekilpKEo8hnl/pPgBzHHQ7cQs0jA1We468iy9Iljwdc6lY9R7X88kiQFSVq46HyO8MO4cNv3ghjbjVAVmZcvtknTjHdu93HcqPj3N68uP/F5vvfKGt97Za34s+tHhSuDoYsUqyRN0VQFQ3/EsUKWztxvuiO3cPS23BBNVZ4Y5fqLj7rs5M2H4dSjUTsrXrq40eDiRoOPHoyo52vzZOhycUO49WytVJ8oEHn/bp/bu+PiecsllSvbrWJveBQlXTmzLwkio3rGlaL8SKPUNFQ8P2a/N+OwZ7PaFgffckk7IxCZP/ZJKJc04aoFIInX8SiiOMULYrG/ZKDrMt95ebV4zt7I5ajvkGUiAn25XaZZNTANlSBK+Nu3Dwoxyt/8ep9/9oOLbK/WPjcC/add8/cPp8wcIaa13JA3ry5/qsjpryo+zd49h58PT4BnEgl+U9BUmWvnW3xwb8iH94cLEccCC3yJIMgBgpwsyxIlXcR5a6o4G8+JSVGSEQUxSZIRp8KBL8lFiFGUkgGKJKGqciGIzlK4st1ktV2mWS0Vw4cnYX2p8kSjgSdhfgb5NClScxcv5VM8xwILfN7YWH5yvftpoSqyGCzmBELTUEnTFMdLKJsqEzsoRBFJkvG/+S/fAIThx//3b+8XfQLnICqe03aFKGPeJ1pul/nGtZX85yI+fDAsauv+2MMsqWRZhu1FvHl1iQvrEqoi8cG9YZEu53gR37i6XKzT/89/ul3sV//uxw949WIbWZLF8PPUmSNNsiI1w/ZC9nsW9Yp4r//dv3m/2IeGU49G1Sjea7mkFj8nSXB1u1XU3cOZx1FfnHHiJGU08zANMXiVctL6i+5L33t1je+9Ks5g3ZHL7vGs+Lft1fpjPbsnoWSovHHlyWe8rxsqplZcUws8P3RN4bsvr/Gd66u8fatPEIn11awaSJKEoamEUcjmSg1DUzm3XkeRJe4dTLl2rkWSZsRJyt2DCWTCAT+OU9aXKsRJSpyk2G7Iycilaqp0h0Lo8XBdaSRJiq7KeAGYJQ05T8AeTHxUReL+wZR///f3ee/ekCCIcYMY790j/vN/cPmMyFCSJK5faKMqMksNk5kTstIus9u1qJZ1HC8q1mmjYnB+vV6YAL1ysXNGtDXH5a1m0e8GClLl/BxdNsTvb1QNvnX9yddfq17i1ZLK+3eFsdVo6pPmn9v8zG+7EW9eXV4kXi2wwCdEuaQV92hVlT/zNNmP+91zpGlGSRO1wd4T5lWnTVxOz9Du7k8e1ib5fiBJfOyM7UmQJIkLG3UmdoCpqzhezN39Ca/lfc+KqfGtl1ZRFRnLibi9L+a285nixnKFpWaZ//IfXz3zvGZJ45/94CLn1xpYrujNKYpESdfw8/orTlL2ejaKJIQUJ0MXRYY0g8ksoGQouL5wXK6YGpoqc/9wyvm1Ou/cGuSGeTo3dydc2W4VYpY7BxOWGiZLDbMg7q23KkwtkQpSLmnsd0XKx/deWWdjqYrlhiiyjCxLlE0NVXn251jOzX/W895z85SQJk5Sbu2Oixo3jJLi8/wqQ5YlXjr/7HnT1wGSJHFps0E7F4MHUUp3JLgJL9J/LOe1PYjEt5+8d1w4eP/FL/e5stVkrVNBkoTIKEoyzuckWsePyLIMP0xwvIggShhMxFmjVta5ut3k2rkWP3nviKqpF1yA5VaZlXaFLBNrdGulxkqrzE/fl4niRDjz5vvEo8YLhq4gZWKdOn5M2Q+5uz9BkSW+e2rO89j7LGm8ee3jzw+r7TKrL5i6PucFnAwdTvKkjSfxEcoljTAKOB44BFGKF4hUwm9cW/6N7u8LPB21ss63XhK1740HQ44HDoNciDGaBpyYDhvLVYIwxdDVIq3X82P64zETJ2Q49tk5toQIRFW4vT9huV3muG+ze2KBJGYYcZJycaPB//IPXuJWPtcD2FypsrlcpTd22TmaFcIMJZ9HTu2AwcRj5kY0qiVkSdyLlhomui4XhiWnr/fT/cTR1OfB0RRFFj2F+Z7RrpfIsow4yc7wIt650+Nu7jg9c0KSLGO1VcHQFF652KZa1rl/OC3mtdJTZn6PIkkzyDlKCyzwvFhpl88YD35ZUSvrbK08vBfP3JA4P2tbrjB8m/MW/DDhqGcXWoK5034954O5XsJ6W8XQK6iKTMlQ+d3cqFmS4KcfHBfn+JORiyJJxdx/Yod8++Wz98b5On/aGX0+79ZUwXuqlrXCSPE0TEN9KvfiURT1KHNu0VnBx4OjKeOZT5oJPt/rl5f4zsurT3yuuwdjbtwXYtOZE1IyVL5xbfmp7+lZ9/WyIYwh5zOdR2uO5aZZJB6oqvxMwcizkKYpf/Xrg6K3+1e/PuBf/sG1T/RcC7w4vg5nA0NXuH6hzZXtJrIkfSn4Dy+Kij5P/s7T9BSZcvmrZ7C2c2wVgi7LjTkZObz5xb6kF0Z37FHN60VZkpjYPlu/pfyVhYjja4YoSYuiaO6SVyvrtOsiOv2zxEc7Q359swcZvH5l6alFkR/GD6PX12v0Ri6bK1Vev9wpxB9pmnF7b8zMEW4y1y+0eel8i8O+zeZKlShOmLM4mzWDrdVa4fQWRgndkVsUUuWSSB7ZXK5y1LcfeS0Jj2LeDAKIkwzLCT9WxDEn4tbyIlGRJNaXKsVQOYozrl9ocTRwUGSJrZWHw/6ZG7JzNCPKXRM2liqPDYQvbzU56Fm0aoZIS5OEe/PpQm33eFY0wK5sNR9TE88bno4XYegKL19ofyYETP8RVXMQJtS+/GeTryw0VRFroWez37NI0pQP7g25fqFVuB9ZbliIt9qNEpc269zcGVEv68SpwkHPRpLgXO4Y6ocxpqFydbvFYOKhazJ3DsZkKXTqBpYro+bP7XgR1VPFih/Gucjh7PWdpGkh6gDhajVvqpRLGle3mgynfk46z7DciNHMxwtiUoRLz5Ocfv0wyRMvxLXey11BQBC95/GMpxFEyRPd9p+E1XaZNM2wvZBG1Xhut8wgSigbKmudMrYX0ag+OVXny4CDnsVRXzgzXtps0PktVq5+nijpKivtsnCZ0pUz62ZOqJgjiB6/Fz0N5ZImnComPiVdEDh7I49r55ofG9sbPHLPe3T/nmM+vJzDdkN4gnBoMHHZ69pkmWg8VMsaSw3zqdf+1Hl4f7WckLdu9Zg54VOvw5Khcu1ci/5Y7EubK8JJ9+pWk8HUo6Q/noTw0jlRK4ioZLNo2lhuyKuXOrnT6LPX99yxNwiF48ijQ+Hb+2Nmdkh35DJzAmRJZnu1+jDOmYefrSRJbK3UxH27abK5UsX1oqI2i+KUuwdT3r7Vo17Vubbd+sxFtkcDm4Ou2PcvrDeeKNz5OJy+VrJMCHJ/G0UcnwWGUyEUNg1FiJK+BHj1UkeIOB4M+Wc/uPBFv5wFFlggx8WNBrpqC4enTrnYd69faFMuqfQmLopUw3JDumOXMEyQZIkwSgmjBFlKSHPitq7KyLKCqso0qgZmSeXyVkO4qaoKMyfk/uGMMEo/MTF9bPncO8idZDvlM0YJz4uToSOi3IELa/WvxNBrgQU+S8yJ0Ed9G0mSKBkK/+d/8z6OG1Gv6Lx2qVOQMB6tzzaWK0ys4IzBAggnrPVOmYOeQ6mknBFQV0ztTG394GjCvYMpWZZRr+rCYS8WyR2OFxXnDSEay1AU4Xp5+pzh+UJUJudlzunXeX69Tn/sYfsRqiwJgkiO0704ANuJIG8rnlsT5PUwSllqmmfE2D98Y4O3b/bww4SVtonjPfx9/bFLf+yRphnrS5VPJFY90yOoGM8l4FhggRfB2Arwgog7+8Kl9up2k2ZVp17V8fyYseXjhTFv3+pR0hWqZZ2R5aPKIo05S0WvLYqTIslSVWTWOmXeud3PybQSfhDj50KsNM3oj10sNyKTMi5tNlhplbm03sBxQzxf9AkNQ2FsBbmTuyBjkGV0WiXOPbKe2vUSF9brTCwfQ8vFaJnodzypd/yiUBWZ6+fbHA8f760/C2GUcnoEEoQJ0ak9Mk2zPN1kQc5aYIFPgqvbTQ77NkmasbFU+Y0aBi01TZI0497hBMsJ2e3OkGUJPzi7x5yeDTw4mtIfe8iy2G9P70dJknJrd4TrxyiKxEvnWi+cLhXHaSE4gCfPH1863+bO/oR2vcTmUgUvSDBLCuc+5vx0ZVvMCOepIbomc9ATn31JVwqxXKtm0B+7THNX4qkTcnlrhd2TGWVDo573qN1TwloQtdjMCfnFhye8eW2ZlVb5ockNEKcZvbHLxBbzl0ZN7PO398d4viC5r3UqrLbLxElGp1HiylbzY83kqubZWdHpXu/zfJ4LfPnxaeuA09d+p27wq5vdYs5QMTRMQ8FyIiRJol036DRMDE1BRiRxg4QsiZrL0BXiJEVVYLllYuai0GZN1PlRnFIra0ztkOHUJ8syGjWD3319ndHMz+uPDJBAgk6j9NgZo1bWeflCmw93htTLWjGrP72eflOIk5SbO2JfM3TlMeL6o9/Npc0Ghz2b7shluaWhKrIQwMbpQsTxJcTV7Sa2F2K7gvcjy1KxT1ZNjeWmiRfGlEsPv0tdkfHy711TJMqmimkookbOzxJBEHNnf8KNByM2V6psrdTYWKoUzzU3UJyv5c3lKsOZT62s8TuvrfHu7T6mrlAtaUiSqONVVeLlC206TfOxOn5qB9zZn5CmGYau0Bu5dEcuzZrBSqtc/J4oTrm5OyrOKnNehHVqbdXKGhVDo1UXa3p+Hz+/XkdVRE9huWU+lnLzKHpjl53czOHcau1TGysusMCXDZ2GSZxkzJyAWllnPAvO9OVmToChzXluwjjVD8WcoWQotGoG3bFLOU/u3TkWKRWGrvDdl1eRZIkoSmnVjDMisChM2Vir4eT1dvsR80UviLm5MyKKU+oVnWvnzs7Mj/p2wXNqVg2WmyaHfQdDk9lY+uQE31pZ5/JWg9HMxzTUx5IQxjOfe4di7jF/XU/bRywneuxn37ndf+p7ehaaNQM/TBhbPq166bHUwGs5J2J+Fvuk/IJHe7tBmAgewKJPssBzoqSr6JrCYd/G0JVPbYj5RSBIJOoVvTB8r5cNfD+m9CXhcjwvMs7ywEcT7ymP/PJCkjKCKCWMRS9nzqv6bcRX6+pb4GNhaAr1ihBvtOsl2vUSK60ysgwzO8BTY9GUqOiYhkoUp4wtH0mC8SxAzgl/pyM+XT/CdgWRe+7a1Z+4/OS9o2Lx/N3bB5ClXD3XeYygVi/rLLdMQcpUFf7BN7f44Rsb7HctbjwYcm61hhckheNzFKcc9m0urNVJ0ox23aA39khS4QDw2uUl/DCmN3LRNZmZEzCx8vjSLMPzI5I4Q1NEEscoj1lWFInWE2LTrp1r8eH9ISAawSvPQXa8uNngw/tDQdZcrfKjNze5nR84pbyRUy5pXNlqPvazUZQQp2nxXpP08Q1IU2WyDOI05fJG47GkE9eP6I4EmT1JUt6/2+flix3a9VJRrPXG7hlXoQ/vD7m02fjUkfHLTeGwRiZeZ6P67Mb22PKJ4pRWrbQYkH1C1Mo61bJGI1eB7xzPGM18vvvKGuWSyn7XKtbiaOqz3DT5/uvr/OyDY46HISutCistk7Hls9QosdQoMZx6uQBHI8ky2lWDm7tjJFk0Pq9uNZFlOY87jYiSDFWWuHa+xcQKCOOE82t1hlOXX3x4wsZylXpV56BrESUpyw0T24swdVXEhGdwaUPsLWPL56jv4AURWSYiHDuNMiutMmEkkmfiOAVJNGD2u0KMlaYZ7XqJewcToiSlWdFpVDQ0VRXuH0HE1nL1hZJh/CBGkSXWO5UXGtJUTa0gktQrBufWap9Z2g08vu9+UoRRUgx0sgx2j62FiONzQqteQiJjYgV0mqUzsZO6poh40Fx0JCFcczaWKjRrH08KatVKtGol3rvbp2yoJGnGxA5w/YiSrnD/aEoSw8WtBroqmrPj/L7ohzF+mFA5lUxhuyGuL1IlSobK5c0GB12LOM2olTV0TWZiBY+JA4M4KYQLsixxaaN5RqzyKC5vNtg9nhHHKbYfcfVckyyDj3ZGXNtuoWsyx0OHkq5ycUOIzBpVo7hPzfeaVq1UCDBGM584SenUSyiKjK4pXNxoUCtr/Pkv9kiSDEWRuLAuBqFCYPLshqvyDDewseUzs0V9EkYpsiTTrpcIwoTB2KPdFPtBp2EKJzo/plJSefPaCtV8YKzljanR1MdyQ5by72Fmh4wtn07DZGoHBFFSRF0D7BxP8YKYixsNSs9IPDuNOEnZP7GYOSGSJPHRzoAs6xTf9fNiuVXmsCf23nJJfSwBZYHnx7xeW2qWP9P7xKfBq7nz7Y28/l1ggQW+HFAVmfPrjxN5TEPlpfNtFFnmL365B7KgEBiazJ29MZ4vIrRlWRAVJFmmVtGIkwwpAVWWaTdM0iTlaOgQhQmXNpsA3DuckpHRrJaeWwQ9x96xVRBsukOXlVb5qalXT0KSZkLAkR+Hd09mLDXNzyVBdIEFvswwDZXLee/o3/7NXaazgCTNGMU+uycWq+2yMO/YbnJ3f0x35HJ5q0mrViKMUlRZysXkgpgRJUJ826oZGLrC8dA5I2b2wpg7e2PWlqqEUVbU96OpT7NqUNJVwigt3ObSNGNzpYrlhNwbuyznQuV5rXhps46hi3ROWZZo1oycLCn6R1e2xRlAkjLcMOYwd41+9XLnTOJgp2Hw0c4Q01C5sN54KrGxpKv8IHf4C6OED+8PBflEAtePiz6bSC+UGM2CvDdqcv9wSpI8PDc9Dc9zhlhggU+K3eMZaZoRRglJmtEduUztgB99YxNDV/n1R10kEKmaWcaFzTrdoUsQxXhBwsZyhTjO8IK46MGrilwQ9U6n1rxxdYnh1GM49RnPgpywFRPFCVsrVTRV5ni0zGDqC6GWLEjMMztkMPUxdZU3rnS4vNF84ntZaZf5xksrRbLnfC6hawq9XFAFGRPbx/ViLm7Unpnm/Sgqpsb5tRpjK8D1YxrVZxsLCOftmCBKkAA3iGnVDJqGIcxv0oz1Tvm5z9dZljGa+aSp6PUvapQFFsgFEiWNelV/7rX0WaLTKLF7LNOqlSATZ4jza/WChGZoSjEbsN2wSOhI04z9rsVyyyxSiyVZwvEi0ixjakfcuD/ie6897prvB7Hos8kSWfrQDXy+x0VJgufH1Mo6y3nqkO1FuJ5IBJBygxoJYaTTrAlX87kAZr9rYXsh59dqlEsP5xOaKtLUbTdCkoTZ18WNBsOpx2HfxvVDyiUdKTeYC2NhInTQs1htm3zj6hKHfZuZHWLoYqYJcHGjzo0HI2ZOSMXUqJY1do9nLDdNLm7W2TmeEkYp5ZJCmmW4XoSqyuwcTWnXS9TLOsOpqFNrZbFPL7VMDE19qgHM6f203RB93ieZ7Ri6+P7m3+cnMaZZ4DcLkYzno6n5ukTMSY76jhCaS9BpvpgoWlPlYlaQppkQlme5U3ecMLWCYg3abki9ouOHCWGcYZY0kvxsIMsyWQqKLKOpKlVTKwTaK61yYbZoGippFp05F02dgHpVZ3u1VghIWlWDWkVjYvmo6sNEi0ZVZ3WpQpplvHd3QBimTG2fVy922DuZYXsRKy3zzLxojofzDwNNVbh/OCWK0jM1UxinPDiYoqhixirLTz/H9MZucS4MwgRVkYrkc0WRaD8yi5r3oSSJIrGjVtYfS4D/OEwsn6OBQ7teWpDfP0doqsIbl5dR5CFxnIpZU7NEmgohXbtRKvqDtYpGb+TihzFlQ6Fe0ZAkkdRbq+gMJi77XQvLjQiimDTLSOKMkq6iyiKB5pvXltnrWtzenXBxq0GnUaI7ctE1IcBbapQ4HjhcyK+hg75NlBsxvHyhzbdfXuWga3F7b8y5U+ase92H/cSbD0YstUwUWSpmkvM9ozty8PLr2QtE6tTGcpV2TfAEDE1B0xS2Vqt5+ows5mxhQrNmPFMsOb+3l0sivWv3eFb0J/e6FstN85mJHE/a+xZY4MuGMEqY2AGGptCoGmcSIFRFLuotXZO5vNXgx+8ckaYZb15bod00+ej+CF2TefXSGlM7FPu7JIxeBlNRY0exSAW/cGq9ne4Znl+v0WmaZGMPRZFZa5+9Rxz27UJQNnOEoNL2QvwwZmulxt6JVST0zJwQVZGpmJrgQpAymLj0xl5xnz29B2iqfKb+fFR8rioyUZxSNR9P5AuipNin/DDhcTbfQ1xYr/PB/SGuF6FrojfTHTnYXkSnYbLUNJ87peBk6CBLIpFDRuyDpxNU5pyITws9N808zA2xN1eqSIg6QleVx/ghCyzwKCw3JAiTQgB1NHCe2yz5y4JySUcmIY7FClflBF3/6vFZa6bG2M4TzYHr5796SZZVU0dRJDRkFEl6YXONrxMWjKyvGSRJ4tq5FlM74KXzQu12PHSYWAEfPhjRHbmcX62haQovnWty/2hGECa8datLmkK9orNzbPGH3zsHiEbnRzujfOAqBA97XQvPjwsHvTBMcP2Yqqlz72DGn/zexccauH/wnXPs9yxURWZ7tcb79wa8e7sPwIf3h/zOq+tn3wfwl7/eozfyOOrb2G7E9loNWbK4uCEG11GUstcVRI80zaiWdY4HDq4f8cuPTrh/NOWPf3iBVy918ALRRH1SE/Ff/N4lLm02CMKEVy92UJSPb05886UVVtrCDUDXJcZWwPm1OrIMlZL2TKKkIHzXCcJEuJw9oRny0/eOuHc4BeD23oR//sOLZ4Q1p0mAxwOHIE4wdJXB1ON6Hr0l54+JE/E51cs6UZxybu3TOQh0GiYlXcUPBQH4WU7wh327KNKPdYfXLnUWMZSfEPPv887BmIOuTa2sM5z5/IsfXkDi7MFivg80Kjo///CEds1AVmT8IObVSx1Ohi79scvuiVU0UsezgIkdUjVF9Olo5tNumJBBmgqSsyxLHA8dslQMOt5zB7x9s0ua7w8vX2ijaTLHA4cwTEkzOOpb2Lkz5s7xlNcuLeEHCbIihEqNqoEswdwmT9cUXr/cYeaI6HNZkgoRBwgy8VzYJckyD45neH7CydAhSTOiJOONq0to6sff2P0g5oP7w+IQdmW7+dwum4oi88rFNhM7QD81HPosYHsRHz0Yio9Eguvn29Qrn9HzL+bNnxsGE5e3b/fxg4TjocPFtQavXXlYJF/dbjKxAvZ7Fu/dHUAG7yoS/+z7F577UNMfe8WgcWzJvH55iZ+8d1w4xNw9GPPHP7zA3YMpE0uIPHpjV1zXUkaaCRHEPGpYliVevdShXhX3pfmBa7/roKkeWyvVM+7cK6nbxKgAAQAASURBVK0yiixEImVTQ1GefUGtL1X5kx9epDt0OB65VEoaMycQpC4k3rrdpVrSUVWZ3sjld157WAvM3TUAjjWHVy93ClcoEMT4Vy92isbKUrPMn/zwIv2xy1LTfC5xzIuimYtLGlWx/+73bE7GLle3m4Uz1bzPczqlQ5Zl/uh759nrWhwPnMcEjSdDh728ptJUmdcuL/HO7V7hVnJrd8yf/O6l53bA2D2Z0Z/4BGGMqkqUdK34rp+XXLuZC+LiJBX79IKs8onRHYo1u/4lGmBdv9DO063EnvJlTZJaYIEFHsILYkaWT0lTikFqtaxx/3BClkGSAGSEcUbVlOkNPaIkQ9PEMKJe1bi9NyaKU6Io4WTo8Z1XVtk5njHO3b2///oa7foLkGSkZ/7xuX48528//LvF7WaB33LMiQT5UZAwjnOBlsQHd/t8cH8EwM8+OOHb15eKc3qjanBho0EQxgRhwr/+i9uEefpfmmW8kgs4T4Y2/+2/fgc3iFAkmZcvtri63SLJ3VblRxahLItuw2jq887tHmkqXtiP3tzgYp6keW61RhilOH5EpaTy4MgqBsHtRqnoyZm6yn7XxvViNEXipe0WV7abTJ2ApbrBX751VDhEDyYe33n5cRLlo9A1hdfy/kFJV/n7dw/p5WTN42HGnf2JeE+SGEqHoRgM3z+a8k+/f+6ZBKgFFvi8IEliuDmc+YxnPgc9uzDl+db1FdIsozv2GM18JEDt2hz1bbwgJU1TPrjbz41UjKJHtrVS4507fUazICcqSjnR12eYmwl0Ry6OFzKeBZQMFUmSeP3KEv2RS7NWoj92aFR0qmWd//qPrglybkXn9UudZ76flVaZckkjCGPqFQNVkamaMq9d6uD4Ee/e7nN7bwKInuaf/PDCc6+9OEn58P6QMBJrd3u19syzy73DKaPcRXuvZ7G5XGVsBeh+VBA2nuCl9PTnO5gWjnyDicfLF9vP/8MLLPA1xHDqce9AzKwURfSZvgghx6OHiOWWiVlSi32o6LtJj89Mtldr1Cs6SZohS3BzZ8x+1yKMBBl2vXs2ycv1I248GOH5Efs9m6qpibrDUAnCBE2VCqGXpsqcX6sztnx+fbPLycAliBKubTepVwyuX2zjeBGqIhe9/nfv9Hn/7gCAD+4N+ee/e6kQ6M2ckFu7D2ezL19o4wUxf/bzXbJM1HjfemmZCxtNbtwfCBL2wMHxIzRVZu/EYmOpgmkI8vqlnPD1nZfXWG6avHt3QKdhosgykiQhSRL1isH2Sg0niGlXDfa6M9w0QZVlBlOPdr1EhjCy6w5t9roZd/bHKIrMd15eYalR5vqFx/fK+f4M0J+4vHyh/USjE0mSeOl8i4kdoOQ17gJfXiT5fXru5DxPwjPyGt1yxYzv05iUAbx2qU137NEdOqj5PEKWJeIkJU3F/8/XfRgmjK2AekVnpVWGLCVOM0xDxXJD9k5mrC9V6Y1dTkYOcZwSxwmXNhuoikx35JJGCb/6qCd+Ty4URwLLCdg5nqFrMutLVVbbZc6v18UcLxPXr5RlJGSMZgEf3B9wkgvqTUPlD7577sxsfp6mDXCkyczsgL38z7f3R/zxDy4iy/AXv9gt1s9hz+b3v7X91M/q0VlxraxzcaOBF8RUyzrGU4RW59bqNKoGSZrRrBovZEQ0nvn86c92hNGgBD98fYNLm5+eYLrAk1EyVF67vMQH9wboqsxg4hOEKS9fbPP65SUcPyKKU3ZPLGRFIk4z6lUDJImZG4GU8uubfXw/xA1imrUSnhehqDJhlNKfekRJizBOuHswJU1SJEkq6vjXLndwvIiJFfDj945EEl+YsNYp88aVJWw/5rWLba6ea3PjwZC3bvaI4oQfv3PEH3x3i4sbzbNXqSRmYufW6nhBxCsX24Uo4knX4a3dEUGUcGGjgSpLNGslfvFhF4CfvHfE5a0mlZKG2pd5/XLniRwWL4j5cM4NkIQZnSRJZ2Z6z2pQJmnGjQfDIgnsk6aALrDA54koTh+ansBj/LClppnXs6J+/r/9/z4Q/bQM3r/d5bBnMpwGSJIwn/mT371YcHf6E48kSQmihJKuPjZ3/v1vbhbJ25tLFT64P0KSQJYhSdMzj310pb11u0t/JPp6Hz0Y5b8n/xkpozfycAJxvt89nHH/YFrUyq9fWS7SSNW+TKWkMs1NGh+tP6d2wH/86Y4wlQW+/9oaV7YfJgl0GiZpJnqlFVNDfcaM3NAVzq/XGE196hWdsRUUBtI7x7O8byoSQldb5WfyCF0/YndueiXB6uc4V/79bz38njaWKty4PyTIe8mP8kMWWOBRPLoivqpzvZNRWLQWDgfBF/paPin86OG+msGZZMuvCiqmRtXUcbyQelVH0357ZzYLEcfXEG4Q0594yJLE9lqNJMmQJQnLDYnjFC+IsbyIn75/QhQn1KsiKlRVRFzQyVA0LoRjflBEkGeZIBp6fkyWZSw3TI6GDm4QU61oSLKEG8QMxh5b+WFlPPPpjl0MTWF7tVaQHHdzskgUC5f4D+8PWF+q8c1ry5QMhZWmyd++fcjMCTkeOCiKjCzD27e63N4fs96psLFUZeaEOH6EoaskiRgaz9M2hlMP2w2plvUzTaIHR1Nu742FW2GnQklXuLTRKAqmNE15586A/thltV3mG9dWuPFgyK8+OqGkq/zT75+jUTXZXK5yPHDYz4ubseWz2i6z1BT/9rQmx/pShVkeVV+vPnTnOY39/kPSuuWETGz/jEuHaahsLFc47Nt4QVwMsGZ2mEfDyiy3ykysgKO+jarIBTl9OPU/tRNGxdSe6dQ6sXzeutVj72TG1nKNetUgCBNsL1o0Xj8hVtplJnbAYOyhqTKaJrN3MuPXt3pcv9DGP4pFAkbTLIYAq50KP3h9g53jKUcDmzjOeO9uH5Dwg5g4EUk89YpBb+SgKBJ7XQtVUSjpKnGasblcpYyKIgu1+kcPRlTKGpWSytHAYeqEwukuSpjaAefXGvhhjCxJdJol7h3OUBUZP4w5GTj0xy6GrqEqEqoqY7kBNhLdscvJ0GGtU0FTFToNkyhO2DuxmNoB/YnHydDhZOhQMoRoIk0zpnbI3olViCiSOOVo4HBl6+miBz+MOejafHh/wF53RtXUuXquyWjqP7eIA4SQ4/NItRjn6UEAZHDYszhR5GJPf1qj9UnQ8713v2chS1JBtFngs8et3TGeHxPGKUmacmt3dEbEIUkSrbpI05ifBpJEOFB/nIhjOPXoTzx6I5cbD4bEScr1XKh552DMYc8hTUUjYblpMpj5dOolbC8ijMTfK7LMeCYcLH7x4TGWF9KqmYRRghvEorGpyPl9JUJTDYYz/8wh/fxavXC2nQ8B5+spzTI2lqtF+sQcc2e1Zr3EftfC9WPhIueFOF4sCB6qzkHP4ndYP/We/eL/+xOXd++k9MYerVxQ4PmxcBE6dX+fp3i4fsTtPSGA2F6tnWkgpWnGfs/CC2I0RS7umefWak9s6LbrJcZ1IWxbzt17jwY2m0sVMRzKBKlNU2U0VSmeYzzzz4i7VFXm0maDjaUKt/bGBGFSRDzfeDAqHhfFKbYbst97WAfYbsRw4rJ+Ks71ZOgwsQOSJOVk6JBlEt+4tkStrGO7IY4XYrthca8eTDz+/d/dZ6ll8t2XV59Lwf6Zicd+y3Gcu5itdR6v974omIbKa5c6vHd3wC9unPCf/4PLX/RLWmCBBT4GEytgagVFeuVo6nPj3oCpE5H31kkTIEmJooCcZ40spThpxgf3BiiyjGloyIrMychhbAVEccLMDkmzjP/xr+6yvVpjY7nK65c/3q3lwnqduwcTkvzM8CKJTyCIFhfWG+wcT5EkKXfu+4p2exdY4FPA9SMOejaSBFe2GtzcG+N6MbWKTqdZLmrKX350guNHInlOgp1juxBnjKY+26s1qrmD5GDqcdx30FWZzeWH/Z+3bvYYznySOEWSYb9n8a3rqyRpxlqnzFHP4aBnUc/Teys5ifDO/rhwtiSDH797yLt3xEDyv/rDq3z75TVKhkoYJYWAA8Q5xtAUHD8CMg56Fv2xiyxL3Nob84M3NkQCXN8uBBwAe12b77z88DMazXx6eW9xqWHy9u0efhjz0rk259frxbncNDRk2RcpB2GCqsjIqgQZfHhviKqItFHHF8mEXwZXp3nfI05S1jqVRc/sa4re2GU08/N+bpUbD0aUdAVFkUiSlEZFuI5PbdHH9gKxHhRFIo5TBjMvJwdClkmUzRBFkQmqBmlGTkYWff3xzOPO3pRbuxNcXzg/GrqC7UUkSUJJ16iXdSZ2wAd3hzw4njGZBUiyjO1GeT9K4kff2AKEQcFBzxI93YrxRBFF1dSwnIB//ee3AEEG2F6tUzJUumO3eNwkr2WatRJRnLLftYji5KnXvuWGhYADxJ7ypN8fxim/vnHCu3cHrLbLVE2NLAUtN2q6fzhDkYVjtyJLZ3oJQZSwf2KRZhklXcENYkq6ytZyhZH1sC9huSFRnDzTzGiBBb7uON2rS5KMmR1Saj//GUDsJzaOH9GsGp9oRqUqMhfW6uyezJBO9bqrpvZYT7Jqaqx2ynRHrnCbXxMzy9P7Ta2iEUYpiiKx3DSLmmqOqS1SyWw/Ik0zehOXkqbSH7tUTI3B0CcIEo4GNjVTp2zqTC2fk4FLb+QSJymDhoGhq/hBTKOi886dPoOJx9pShQfHU8aWT5JmVEoavbHDhXVBfh5OXP72nQPu7k8wDY1//N1tPnowYjj1OL9aJ0pS/ubtQ2ZOhK4p6KpMd+SQIWaKYe6GPndHndgBa/mZ7fx6A9PQHvscR1OfetWgXjVI0wzDUMnyM9pKs0yjanAydKiUNKZWgEyM5caYhsrJwKU/8vPnq9Ebe8W9Yy6IA9HnjOL0qakdvbFbnF+//coq9S9BvbbAk+EGcSHgAFGzz9eProkZ3/t3+0VCwzevLfH27QHDqYeqyGyt1vLEvCf3TOdz5okVYpYUVEVGU2VhcjF0qJg6G+erKLJMmIk0i5kj+uvNmlEYFL11q4fjRRiawu++kWG5EUd9G11V0FWFOMkwdAVVUbi9N+Le4YyZE1A2FKplg7V2BbMkBFxxkuH6cUH2Or9eL/o0QRSj6SpJKq5vIfhQ8PLaYq9rndn3Rqf21DBKuX88Q5XFvOLB0Yx37vTYWq1xMnSwnIgoTuhNXDZXapxbrWF7UXFGOrdaQ1FkVtrChXyeMLC+JJLXnkdI80nPIQc9Swg4oEhIWog4Pl8YmkKSZhi5kFLUzAklQ6VkqNw/nBbiiiBMcP2IIExw3IDBWNybdEVGN1QmMx9FltF1cS4ZzDzsmxGmrmA5IaudCq2awb3DCZWSSrMmTBb7ExcycX9w/IiJE3B1q0WjCtWyuJbEOTdjMPFJs4z37w5RFIWN5So/e/+YIIpZ65S5ezAhilO++8pZc5nV/Hq23YiKqdHOkz8A6mUdSYL+2GFqB0RJih/EtOoGlZJGHKfF2uxPPEq6yvZKFSVP6ygIjhmMrYCLG3UeHM3Isozz6/XHHPtPw/WjQsABZ/e+BRb4ssB2Q0Yzn6kdoKkKJUMlzTJmTkitrLPWqTCYePihED3c2RtjuSFZmhFGMRM3xvFCZElGVUb88I1NhjMP01BZbZncO5gwtQNKbYVWvcSDoylBlLDaLtOqlYp6duaEwvS3b6GpCuWcizCxAyoljbVOmftHUywnZHO5ytR6SKK2nIgsS9nv2ciSxNZKFV2XiVMFRZboTlw6+Z6RZULkdT5PBInjlIOefSqhLyKM04Jjc9i3CwEHwM6xdUbEcX6tRhAlxEkqegzPqEcnVoDnxaRphh8kjGaizomTFE1RuHMwpl0Tr3M09XnjytJTTY91VaakCe6FqavIUlZ8tstNk4qpPZOTcRpJkvBnP9+jN3a5sF5/TAQqy3LxPU3toBBwgDj3LUQcCzwL1bLOartMd+yiKfIz06++rLh57+SMwVwGnIwcNpa+Wvd071RNAvDrW8d8+5XVL+jVfDKInrjYh2QlJHzkPf02YSHi+JogSVIURSZJBHF0fmD2w5iKqWG7IVpeDERxSn/i0WmUmNiCgK2rCrIsGqmVsnDFTpIEJFG8pGmGLIthkBj6wEqnzPpSmdHMZ2KFuQOLRK3yMK74zsGkIKsGYcKVrSayLBGEMY4XcdCzGFkBy7GJ6ydc2arzvVfPEycplhPgBTEgisXdoxnDmU+aphx2LbbXaszsiE7LQJElVvIYeMsVgy5dk4v37HkhpqkzsXx+8t4RYZjQn7i0GyZvXFnGDxJez8m2H+2MuZGrY/tjjzhO+Ou3D4vP9H/8q3v8r/74FSQpYzgRSuCZI6KZs1Q0W1RFPtOMSdOMDJFmIJIGlorP9Emol3UGoXhuWeaJ7ttbKzWWW2V0VSaK5ykGcnGwVGSJ6xfabK1UubEzKr6HuZPP/DVJCBXx6Tj7+fX0NGRZJgZfT3nMX/76ANeLmDkR780G/PD1dRRFfmFiz28TPu4zVxWZVy52OOzbHA+cPNpWEBP2uzbfuLYsnDMV4ZLvugHlsk6jorG1UuXmzghJkrh/OEOWxfWTZRmqKpNlKSVdYfd4RpJllPQMy4v4RqfC65eXeOd2n5kTMJh4DGceMzfE0GQOezOmToSmKYRhTGiIQYOEVOwrUZzghzFTOyTL8ua8FFDSFfwgol4x8PyY8dTnwaEgcC01TWQJ7uxPmFrCtf+gN6M39nB94UxaNWNW2mVMXaVR1SmE+5JYP/NY8zhOkGT5TMPlzv6E/tjlg/tDLCekUY1IU7i40Xz695Nmggj3G3Cjn69R8XuFKGUuWvHDmNeeg1R3GutLFdY65QUp7nNGSVdw/JgsS4liGUV98ufdqBpn0mWaH9Mcd7yIe4dTkiTl/Xt9LDeipCvcOZgycwJOhi4zJyzu7d+5voLlhEhkaIpUuFOBuLZ+8t4he12bjIz9rk2lpNGqG0ytIL9OKMhNj7pnNKoG33pphSTNOOzZ/Pz9I4ZWQLOqI0uC8PHmtWUUWSqaH6KeEISk1bYgaB31HSxXOKpJiOu8UjKKezUIkrkXxHhBRHckhhGuFxLHCcvNMpomF+SJ0/fYLMu4tTsunIc9P+bNa8uAWMcHXYvuyMX3Y/b7FutLFdHUTVJeOv+4U5wkSVzZbpKmGX/6sx00RaKkK+z3bDZXq+iqillSC3LI/N5uGg8bJ/P9PcyJb29eXSaKErS8WVQuqdhuWMSaa6pMvawVRDZFkc4IQkYzn70TQXb55Y0uhi6EbX/5a5HOVC7prKsKlqnhBwlhGPPBvQGNmkEQJTheyB997/yZ+/7z4vRnvcDz4SRP4viyRcl/95U1IeL4cCHiWGCBrwLMnATpRwlBEHL/cES1rJ8ZGs4xL4szwI9AlhJURSWMUjIiqqbO+fU6b15u8+P3RD/gZOjgBzGGptAfe1RN7WOjuRtVg29fXy3q7o87zzwJyy2TpebTHfYWWODrjjTNuLk7JsiHpn6Q8Cc/uIhl+5TLuhgYxqnoC2kK/sQny1IyJMollTQVTshmSSVNU+I4Zer4HPVt0jTDC1M+2h2TJAlhIh4XxYkgaSegykpR39tuxInsstYpoyoKjh+SpWJPadZKDKde8br//Bf7pPkh/P/yb97n/3S5TZKAYWioObFKlsAPk4JkMbF8bu6MC9e9uweTordUq4jI7DBKkHh4pk/TjCBKhGAsEUkhP/vgmDhOyRA9u1ajVJD7lpommioJYqkb0p94hWjb9eNin4l6NurHJAE8aU+Lk5T7h1Omls9Ku8L59U8/oLp/OC2cAS034o0rS08lNS7w1cTUDtg5EumZMztkrVPm+oUWG0tl7hxMmFjibKwqMqauUClrlEsa9apYD2GSYBoaQZjg+SGapqApEkEuVJqn2KZZxlLD5Hho0R17hFHCaCr6aa2agaGpbK5UkWQJRREJP2PLYzARj43ihFZN9J50VSGM05wQ7LLftVBkmZkdomsyzVrpsR7Z//svbuMGMRLwP/zVXf63//JNFEWhXhZOlCD6A4Yq+g0PjkSCKIi++htXlx8zLTF1lQzRh5YlqVgbcZzSG7v0xoKY3Z94HPZsHC/k1q7Pyxc7KIpUpIf6YVwQtYI4Jkmyon65szfGzU0iDno2FzfqKHLeE9HVfDYhHIKVRXrPAr/lMA21WLcg6oqPw+k50vHQ4XjgkGUZk5lIt34RQ6U5Vtpl2nUDRZGfeoaY38fPr9U5t1orHLZP39+zLOPSRgMnTxF/9D0laYaRJyGqec+xVPTyNLI0w3IiZo74TCZawI37A9I0I80yZEUiSyBLAUTyx4cPhnz0YESaZfTHHlM7wPEi0gyiKEHP+6iyLPHB/RHv3OrnRlwB/68/vUm7YWB7EZNZQLWisdqqcPdgQrWk4QYxqqoQxSm9kcu5dSGmS9IURZYxHnGzXGmXWW4JQtl44hBFkXj/4paFLEusdyrF/lmvGFy/0KZa0TjqCdKsH0RoikSWpsycALOkMbF8fvmRV8xmZ3ZIlCRF71RV5cLs71GEYcxfv3VQ9JWdtyL+xe9deq7rYoHfPAxNQc5FkkAxS5hfw/cOJ7x7R6yJ/tgTqXx+xMwJsdyQiRWQkbFUL3HlXIuNpap4PmGOz1/9+gArJ2F7gSSImzFMrBBNVWhWhQlVzdSoVQxKhlrMwRp1nZe22/yr/3CDfl4XJWnGjZ0Bv986h5ZzIJIUdF1hY6nKUtPkv//L28wckVw2SFM2VzM8P+TlCx2QZMaWhyRJzJwQVXZJ0zRPAcnQFYU0FQTROMloVA1hJJXP9+dzoPnno2tKvv4zVEWmVTOwnIjh1CcjIwgTHhzNmMx8gigtCK+jqY/lhERJWsz90zTj8lYTsozrF9rP5B88iiwTCe6ftN//aCL6x827FvhscLpOPb2vhqEQ1iXpQ8F0FKcc9W2CSPx/nKZ4SBhhhNYsI8nC0MsLYuIoYRrEjBJISUmylO7YZalh8tbtHlkqkvh6I4dMluhURQJW1dQLwbNpqIRhTM3U2Isi4iRFkSVMQ2E49QmjhKWmSZZl/Opmj7KhUDZUbu2OuH6+XczI57yI+fWcpILTML9HmIZKb5xi53M0yw0oyAKSuLbvH80ggxmi/3lxo/HY3LNsqHQaZlGTfFx/8ml732l82nW1wAKfFkmacjx08vtEzN7JlAdHU5xcFLW5UiFJskLYMbaCYk/xg4ggSorldDSweXA0JUlTZrLMYOJRNXVMXUVRZD64OyDJ14PlhLx++WFfKwhjPnowJIxTJClfopm4b83skN7IpVExMDWRFqprCn4Qk6agKhInQx9NkUCSGFs+S60y9XKGLIsEjDBKi75fp2mSpiKlS9VkGlWDIAiJIqjXRGpoGKfIUJhCz9Go5max+VmhWtZ580oHP8oKg5v5mp/fX70wQVcEB7KfcwZdP8bQNVbbctFzUGS5eF0geqUlQ3oi76haNji3Vis4BFMnJklELTRzQhFImN/7T3MynoS/fuuA9/LEv5OhS7Nm8ObVlSc+1tAVJEn0PWVJOlPTvei8Z4HfHpxfr7OxVEFVn34u/zJjuf74a/6qCTieBFX66iVxTK0AQ1dIkggJmJ0yCfuq4dPumwtG9VccSZJya2+M7UaUDIUL6/WHjgeIIuD8Wp1bu2P8QCjayyWVk5HLcOqTpCmqavCtl5a5vT8mjFN+cLnD8cAuhi9ZlvHSuRadZpml3AXweOhQry5DBr2xw9+/e8z+icUbV5aolnVuPBhyMnTpT1y2lmvs92YcDxzqZZE8MbMDemOXiRUipSDnm3pv7LJ7LB4ry+L1V8s6aSZIizMnxHJCMgmW/RLdscted4amyHh+wquXlwpSpGmo/O07R/zqoxNkWWK5VeZHb2ywe2wxtny8ICLN5kXWw0btzD4bk3Q8dIvPdOaEHA1sps47jGc+sizRrpe4sNGgP3GFk6kb0qqXWMvT5odTj/uHUzJge+Vh7PuzGij/4JsbvHWzz3DmMZr6/Lu/e8DGcoV/+K2tInL+5x8cc2d/AlnGxc0Gq+2KGMZJjxZ7Ole3m/THHoausLVSK17TaBawf2JRMhS2V6v86Btb3N4bM3NCDE3hpQutxyKxXT/i1u64cDO5ut088zvjOC2Ip82aIRw/TI3za/UXShD4bYEfxtzaFa7stbLOtfOtZx7qf/SNTX7y3hGDiYeuqbxzp4+uK9zZG1HShTL7rZs9Zm5IGKe8fqlDu2HmQ4osJ15I2G7EYOITJwlRnKEoQrgBFC4xZPDLG12unmvSn3j8/MYxthsBEpqc4QYicUDTEkxdRIgfDx02lqo0agYrueP7jZ0RWZahqSKRw/ZCMiQR8T10hajLj9g5mVEpa2wuV6mUNGxXDAGGs4CToYfrR5RLKooq06rofP+1daI4ZXOlxnHfoVE1qFc1do4t7h1Osd2Q/kQ4HX7j2nJBRAvCBC8Qw5c0E847qurRqT+5uXjQszjqO8iyxOWtRhHl+nlBpJAIlxBNlemPPY6HDpYToqoyFzYaz1TWPwlfxcL5q4atlSolXaY/CaiX9SKi/lG8cWVJ3NOmPpsrH0/88YKYo76N7UZMbOH8CCDHKb+80UWRJaplVRz6NQNxu8p4+/aAiqnSrBp0hy6dpkmjapAh7o9hFFPSVMI4ZqnZZGoHRTJUf+zhBjEvnW+deS0TK+DuwYTB2OXH7x0RRimOF3Jxo8Fap8JS0yROUm7tTnjrVo8kzejkbloVU+P6+RZlQ+WDewNsN2Js+Rz2LFJEg+Tdu0POr9X5l39whQsbddTcQU6WJHZPLIIwIUrEwOXlC200VX7sHrvcMumPPXpjF0kSDeU0zTgeOhz2bO4dTtk7nhLnxK6ZE1CvlLiwUeelZ3wPsizx4f0BHz0Yk2YZnUYJQxMuquudCkma8dFOzHDqi+SRmkEYJdzcHeEHSeFcCoKw2qmbNKo6V7dbtBsmt3bHuH6EoStkGVQrGutShSyDly+2z7h8zOyAX33UZeYEHPZtLq3XqZV1wjBBkiWubDU47DvUKzq1ioGuK9QqoqHm+uKeM7FC1joV/vF3HtYVH4fRzOfewYQsW0Spvgi6X8IkDoDfeXWN/+u/+4AP7w+xveiF7ysLLLDAbxa1ik67VuLtW10OujZBmKBrxbz+mUhz971mVSeIM3RdxnFD/vadY/oTF0UWqZ2VknYmUvx5MXe6etYZ8llY1KkL/DYjSTPu7o/F+RtYa5vc3B1juTHLrRI/emOLX90RNf/51RoHXQvHF2ms650Kx0MHXZNpN0r89391lzBM8HzhVBeEKYoMnhfwf/zX7xDFKcstk6vbTU6GLoYm863rS/z6Zo80zVAViYOeSM7TFBk/injrZp80gx++vsa3r69yPLCplBT+/d9FBLk7vh8m/Lf/w3vEUUa7XuKlc03evTtAQjpznogTMVgVSR0SzVrKu3f6hJHoLVUMlTt7E0qGwrdfXuXt233iWDhjz89DiiJx2LeFuCQTjtWWExYiDk2VeOtWjzjJeP3KEnEinPdaVYOL6zWRNow4I8Rp+ujXAUAYJSJlMYiLM8y88X5zZ8Rf/GKPIEqoV3T+F//oKivtT1fjnRbjpWlGGCULEcfXDKcdqgF6Y48gSpjYIbqmMLVCdo5m1Cs6d/bHtGolXC/CD2KCIKFcUljvVDkZONieREVV8IKEOMlI05QbD4b0Jx67RzP8KMYPEoIgxvZjwijDj2JmToyuyszcgEalRLmk0Wbe806ZWIEwPejZ/N27B/z8Q0Gsvn6xg2WLXrimymyt1Ng7ET03Cbi02aDTMLl7MOb23oQgSoQpQUXnaOiwvVLn97+1xVu3eiINvGLw/v0RqioTxQmCtiBqiTBKHusbD6Yerhcxtn0UWSJJU/7s51OOBg7dkcu5lTqXtxrsHE1J04woznC8GD+I+dGbm7hBnJMPMk5GbrHG3rndo2KKHqyffz9RnJKmoneqyGJtXjvf4qBrkWWwsVz5jRi7LLDAlxmbeR/IC2I6jdIZw5EnwfEibu2NieOUdqOELIm1ftCziRMxV/jB6xsvtLaCKOHmzuipsxTRlxzjeBGmoXL9QgtNVR6baW0uV7i1NyGOUwxdoaQrRaI1iHnAQc/i/btDBlMvF4OllEsalZLGD99Yww9ERNLxQGJiB0ycgJ9/eIymyKiqSA2oV3SqpsbN3TG39yf4QYzlhniBcEbXVInhJEBRJbaWqhwPXfa7Nr2xx0f3Brh+nlQmgZ8L0OI0xSYmSVOSWKQlbS5XmdgBpqFgqAq1qsb3Xl7FciOmbkCa/2y55BSfCYiz4v/+v/sJez0bTZH5b/74Ope3mrh+TKtW4ifvHfKffrUPwB9+b5s3ry2zuVTlsGtjllQsP0JColkTaSNbK0IwYzn+GTf1jaWqMIb5mP3UDeIzrsjWV5i88dsAXVO4dq7FydDJ64Qqt/fGTKxAJGb4Mf1cLKoqMlVTpWLqBGHMxAr4xY0TxlaAqctUTIPffWMNSZIxSxp+IOaclhsiSxKaJnNpo4auqcRpSpzCg6Mprh+xezTl1UtLVE2NWlXn9u6Y4H7Mf//nd+iPXWZOgAwEUcr9gxkVs8vvvrrGTz84xvVjLm81UBX49c0eUycgy9mRaQonfY8oSdjvOZi6ChJUTI39rkWzarDXszi/WmXn2MIPYxRFpHHXyjpbK1WO+k6Renhutca7uWHe2Aqomir7PYd6WePSVpN/8r1z/PJGFz+M2V6to+WirFcudrh/PMtTUAW/YOaG4vXk8IKYmzsv3peZ2gF39iekacZqp1w4mL8ItldrfPflNfZ7Fs2azptXX8yEboFPhkfrVD+M+PNf7GM5Ip1dliX2uhZTy2cw9bH8iCRKyHWFxFlGEEGCx9aymO3tnliEcYofin1YlmBqiX1YlSQxv9IUToYOg4mL7UaUSxqrnQpSBrtHMxo1nQfHM/pjlzBM6I4d/DBhuWHy/r0hJWNKo2pwbbvJ0SBPAs1TASQpw/XDM0aH8JBPo8gS18+3OOo7SBJsrdaQZYmxFfDhvQG2F/H2nQHVaonvvbxGPiotMCeoN6oGFzcajC0/T6wR6+p5+5OP7n2PpnB8FutqgQU+LRRZZmOpwtQWXBM/iNnrWkSxEB+6fgiSMEGpljVaNUOk6GbQrJkEYYzlRkiS4Hsd9m0cL0JVJGoVA8cTqW+modKqGcUMO8tEysUwT2Er6QqHfZvBxEdWQJIy9rsPRY4lXeHB0YwgSmhUBbfip+8fEcUpb1xZxjAUpqOweB3bqzVu744plzR+/5tb/Nu/uUt35LLcMrm8ucn//NNdvCDm8madME74jz/ZIcvEPDRJxTlBUSR++PoG339tjZ1ji0ZV59WLHd6728cPEqplDUWW+J/+/gFRnHL1XJPfe2OTnRPRu72wVufH7x1yZ2+Cpsr84LV1VlplHF+YcF7ebDB1RNLqhfUaxyOXH797RJJmnF+vsbFU4WjonOmpzFExNW7tjRlNfZaaJV6+eMp8MgPr1Cx33mdV5Cf3EEezs/OdwcR74uPE96Ri6AqHBza6rnBlq8GNB8OCg3r9fHvRq1zgMTw4mtIfeyiKxLVzrY/tD3zZMLQf/7uToc1a56vNf4mzr17vcmoH/PyDY5I0Q9dk/sl3zn3RL+mFkaQZt3dFqpWhK7x0/sXm5HMsRBxfcfQnXk6qFsOF0dSnVtaL5lanUeKwbwv1eL1EEMZIksz8HJJlFEraufLyoGdzZ18MLIMwYWL5qLJonJwMHbZXa1wt66RpKsjSB1N0VUKSZPa6Nn/60weQZbhBguuGnIxsdo5mlHSF7shlZAWoioSqKGwslTkcuGIxSqKZt3s8w9AV0ixP9ciE67MfRkTTBFkWvytOM6IoQZIkojjl/vGUb11fQZJ0VEVCkiR+dueY4dSjnLsN/vSDY2ZuiCRJ+c+JQY2uCtVwqy6InO/c6TO1A1r1Ev/oW1sc9h3Gls/Y8llpldk5mmJ7Mattk8HU4/xajaqpE8YpqRvQH7ustsvUKzo7x7NCEbvftVhqmkwsn9E0YLVjnnGpiOOUneMpsizzwzfW+ctf7WM54vs96jvsnlhc3GgwnHp89GDE1AlQFZnu2ON339x86nXSqpXOEM93j8XB/v7BhJkrXOD2uzbv3xsUw8UgSjjqO2diT8eWz529SeF6MLFEs+m0Y5KqymyuVDnMo+2unWvyxpXlT3J5fy1h5036RlVH1xSOB07xmVtuyHDinSEBjC2fJMlo1YS7VElXefVim53jGeOZj+vHKL6EKolhwWjm05t4RGGCrMjcPZjyRkklSoRzS5xmGBocDRwmlo+hyVTKBsd9u4gXHs8CmhWNse0TTTPiJGE483G9mDTJCOOYWZRQMTUkWSYIhDO+F8SQgakrxHGKWdI4t17HLGncP5xyMnREpLCmICEICjGgKDLDaYAsCdd8143oNEpYboSiZEysEEURrgEZsNI0+Rc/uowsIa4zoGyqmIZcDIDnToGtWkkkGRxMCyJ5pyH2wgzQVIVaWYiMjgbumevddkMmdsjusYWmioST3ePZ5y7iAOHYvtapkGUZ/YlXOA5VTY39E+vsoW2BLwUGEx9DE44thqbQG89dFyIcL6Za1oRDpizzrZfE/TZJUgYTcbgJwoSpFbK5UimaHVNbJOA4OfnfzONONUUhyVKQoFUv4fsx1dypt6TL7J1YrLZM/CilO3R56VwLWZbpjVxeudhh78SibCjYfkSzWsL1I1652KFZM5hYQUHOv7034eJGA1WR6I08joY2WQYf7gzpjT00RTRuD/s2a50Krh+RxAlv3eqJZoITsnc84/qFNp16iVbd4M7eGF1TUNWE4dSnXtGZWCLie3NZDHr+9Kc7vHl1BdePGM98wjhBkWUmts9qu8LGUpWpHeIHcR5xLL6D/a5Fu1HC8cKiIev4Imr8sCdOYqOpx9gOqJkajidctTRVIQyfHssXRglTO2Tv2MoTM1LIBKGsWTWQJImToU1JV4uBdnfkECcZ3aHLYOpxZ29CvaIRxSnDic/vvmkytUPGlk9/7NGul0SDpGdTNrTcCaXK9Sekg8yvibkrieVHLCNEAqah8ea1FdaWhPhltV0mywRRaGIFdEcOVVOU/ydDh/tHU65stR77HU/CzqnP+qBns9Q0F02bj0GWCQERfPmSONaXKmyv1tjvWvzs/WP+8HtfvQPxAgv8NmFOXBzkRgwA3gvwWYI4wwsS1perRHFCb+JRLon70spKlaVWmXuHEw77FtWy/kIDxsHUY5bXqk86Qy6wwAJPR5amHPaFYB8J9k5mSECcQH/k8Re/3GGlXSHN4IP7A1r1EvWKcKQ/Gjh0GiUUWebv3jlEz8l4ThBBJupECbA9QRJMUzgZOFzcFALsWlmnXilx73BCFKVUy8JdO0pSdEXm7Tt9JjOfJM34+QeHvHltmZqps9IukZKR5IVhFiVYVkiUZnhBzPHg4R5w0LNp1AzIhIOeMHfIX6cXEeZCkAdHM05GD8/jP3nviK2VGl4QY+gKo5lPFKeosoQsS8J1FiHkKJceClHfvdNHVxVUJeOtm10qpsZqu4ymysRJyvl18fzLLfOMSPo0jofOw7OEF9Edu2wsiRr/owcjgjzxb+aE3DkYf2oRR6dZ4qgv6kWzpGKWFsLarxsaNQO1J65BJHHfVCSJaknjweFUpEzIUk7aFf3kiR0IN0pDQ6TwxsRpykrTpFxWieOMTrPEzvGMneMZuqoCKVkmsdQscTx0iOP0TDpXlKT4QUJJS+iPXM6v1RnPApIUVFWBOEFVFY76DqahkmUZf/f2ARfW6kiSEDns92bUyjrteoksFWvue6+s8YsbXXRNwfZC4iRlY6nCYOyzvVKnWtb5B9/cKnrKotcmEno7DRPbE2Sw04OtuYnTztGMJE1JE5EWVDY03rndF4/NYK87Y3O5wnKrzO3dMZIErbrB+lKFVr3E1hmhuoTjR/RGrnAZTjNu7YxQZNGPKRsq1bJWuGV3miUMTRGu1gsssAAgSJSPEhWfhf2eVRDyR1OftU6F4VSkZEmScLAeW/4Z4tLH4aBr0R+7hSHJYOKxeupe3Bu7RR91XpfMbHHPrpZ0kMQMbmoHRY8rCBPOrdWKnv/8TNMbewymHqOpRxgJ4VytbNCum4QRvHqpQ5ymhHFCb+wRRQlJklExNcqmQqMqxCIPjqb4UZL3SgOmTkiUpsRRhqZKlAyVckkliBOOBqIvOLUDgtytP04zpDTLz4QZaQK6np8PZx66IjN1AuoVnakd0mzobK9WmLkhXphgGiqjqei9SnkNOT/v/dnPHrBzPBOk+Fjm3/7NPf4P/7t/CIDvx/zk/eNif/7Ju8f8/pvbjGzxXGGUUCnpmIbKUqNEHCditqspvHa5w1HfZuqEtOslVtudMzXb01Cv6LQbJUZTQfy7sCC+fuHIskwIobOMVq30mACnXtGpV0RdPZr5RVpPFKdFXQBitre9UmNsC+FoRoblin8PYojsgBsPxlRMjTBOkCWJ4dQjzTLIQItlVFlmnLv4l3QFy40wNJksgxsPRnz3lVV6Q1cIO44tRjMfP4iIc/dvSYZqRSdJUv6nn+4QRglpljEYefz1W0ckSUrZUBhbofidinAQRwI/iAlDMeOZWClmSWXmQsXReOf2QKSNaQqdhgFIfP/1DaqmxvULneKzunsgBK+Dqc9o5nHYF8KwRlXMTEYzjytbTWoVvRDMtxsGnUaJVr3EftdC18VZ6txKld7E5bDnYhoK1XL9sb7MWqd8Zi41h+WG+EFCs6azd2IVzuLdocty03yutfooXrrQ4qULzzdjWODTYTzzSbOMZq1U1KlZlvGXv9qjOxR1/GHfpqwLLtDcyVgiI0khydMhMoRwOYkzxtMA2w3RVbm4N4IQ+s2Tcaa2R7NehizD8iNsLwZJIkxSJrbPvcOMrdUa9w+nVE2dNBOzMU2TWaqbTN0QXVdpVHRsJ+S9O33cIKZZN8gSsR9c2mzQrD59/j6ftW6tVElSkeqVZRmGJpOkgvxcLuncP5jyT3/nAlGcomty0XdoVA36Yw/TUFhumUUalRBYRlRM9bmv/9N736P4rNbVAgt8GtQqOo2qQZIIk1UJcX+IopQkyXJTQXFd+kGCqom0nCwT+4XrB4UQyvVjHC/C8SM0RUbTRHInzA2ZH17fuia4CN2xMLfz/JjxzBMJGAmc9F1WWxVmboxpKEhkzJyAIBavqzc6EcmYiqj7DUMRrz8vPzRF5sJ6HU2V+ekHxxiaymqngq4q/OlPd/K0UoXhzOen7x2JXgfwy5tdojSlXhafya8/6vLPf3SJRrWEaSj0J15hsmK7ET95TwhJANFryDLcnEdw2J1xe29ScBTfudPnu6+s0awZIMFqp8LGchUvSKhXdd65M6Ba1khScL2EW3sjskxClgQJ/vRZ6MaDARKC45llMJ4FBTFe12Q2qxUOezZpLuBTJAqeyaP8pVcvdXhwNCXLe7KvXOzwNMxrgzk/5MMHo+IM4AciZfmzSCNe4OsDyw3p51yoJMnYO7F49dLTr7EvI+Ts8XuzmgXAV1vE8dGDwRf9El4YP3nvpDB9iOKUP/35Dt96ZfWLflkvhOHEK3j6QZ5Of/Epps/PwkLE8TWDJAunu7ElUiJatRI3d0aAIDIe9m1qprjR16oad/emzJwAP0jYXqtRrxhMLJ+xJZqJcU7wiOKU0cynUdGLRu3fvH3IYc/mVze7zBzhHhaGCZOpR2/is9oxUVSZ5aaJLEkEUcrMDSnpItK0kTfkNparLDdN2g0TSZLYO7FY64hI5DgVjtNigCqG0IamoMiycMKTQJHyRiYSJ0NHOOwrMrKMcAkPREx6GAdUDI16VUdTZCqlGstNE9MQDmb3D6dURq5w/p/6wl0nd7b5X//xdd67N+Cn7x+z1Czzt28f4voRo5kQo9SrBmMrxPMjBpbP8cBGzYvIR7HXnfGXv9wnjBLKpsp/9qPLRXH2n361V9zsdk+efnNIs4x7R9OC/D+PqPvU188z/m3vZMbJ0OWwL5yS5jHUT8Lvf3OT3ROLJE25sLYg8MwxnHrcO5gCIgb01cvPLmTmnzlAuaTyysUOx0OH+wcTxrOgEPEEQcpw5guyvxuKgUGWISOcMnRN5XdeXaY7domilL9564DexMXxYhRZYn1JyuN9dU6GDnGSMLIzJm6EDEynPn4c4/miKZMlKRlZEdcryRK1si7cMTIYWwFRkvHnv9jld15d5fJWAz+MkSVR0AWRcLhK0wzHiygbKh/mZAghHAvEvhOlIq5cEbF9y22Tdt3kv/rDl7DckN2uzf7JjNEsIM0ydE2h0yhx5SkD1vnlenGjQbNmUK8a3N0fU9IF8f705Tz/rqI4Ye/E4txavRjk/iYhSRJXt5rM7ABZlqiaOk9Zdgt8wQiiJL9vpvhBjJs7q93cGYmmhwQvX+wUDglpmnEzd4Y77Fsc9h2aVYN37yn8yQ8uYHsReycivUECllom37i6gu0GMBdtTQNMQ2VrpcrVrWYhpLizN0VRZPzocXbnG1eWaVR0jodiPwgi4X6ZZWfvI6OZLw7tYcy7t/s0akbhDmrZETM7wNBl4jjDzO/r1bIuhKIIkojnh4UbzY4sn0kiyLKMIErxAtH8ieKUwdjD8SMMXeatW308P8IsaYRRwvdfXyfNsmenBUiP/BcKYdccJV2lXjWolzVmjnANmb+e00jTjN5YDH26Iw9FljgeOQS5C1EYh+wciUSPa9tPHlCcDB3eut0jChN2T2astSvIstiTPw0MXTSZRex0iU7D5I0ry1xYF/XZ3CH1NP7o+xfYO56eaVov8Plj5jwUFH1agt/ngX/4rS3+n//xI/7il3sLEccCC3wFYLshvp87b3+C49/Mi4lOZqQZmLpKpaRhllRatRK6qvDhvQFRlBInGTcejPjdNzc+0etc1KoLLPBimNoBji/qhZkbCaJTBmmS4IYGuWaAKI5Zaub1RCZq1flAceYEmLqW/6zE1nIVN4jRNQXPj5nl5iCQMZx4QgjshNw7mBTObLIMlzfq4mwgCYH0PJXW8SL+9Z99RNksARmqLKHNY6GzlJORgyTJZFnGUvPh8LFkKLx2qYPrx7hBhU7zgJkTIEnyY4SH0/2l4dQrXleaprTr+XldkljvVGhUDMIoZqllop86p4+toHD7Ey7XcSEaefPKEi9daL9wn+r0eaJR05Elkeg5d9f+tNhaqRWGGs2q8cxk1gW+mpiTWWdOyNQJuX8wzR0TMyHyt3wm0wAvjLE8QTo2NOGaGUbC2MgsqaSp6OWHYYrnC7flwSQnQyCG8p1GmSwTybjDaUAYJ+TcSWQJgihjbIcEcUpKl1ZNZ50yw6mPF8YYmsLYj0jTjIM4ASTqZZ1O0ySOE5Al0Y+0A5GwC/z9e8fsnVgsNQyiOKZsavzgtbUnfha2GxapnSVDyfv3Eooice9gwvULbbojkdIdRglv3erSqJYYWz5TO0DOeyGrLaVII0aC7726Rq2sMZoJMnhJV8/UI9urYp0Npi4nA0HMnjt/vnJRkLCvbTf51vUVLFe4Zz5N6LXAAgt8cjSqOpc2G3RHLiVDLQSoz4s0zXhwNC3mJc2a8bFkor9555Cjns1wKmac37i6hK6rnF+voz5HMm0QJYxykmiSpNieIEcNpz539ieMJqLukGVBdM3SFNePWGmJ5JHxTDzOCxJkGWxPkN9mbkTFUAhlmWZdoVHRqZQ0FOnha1JVmVpZI4yzXMia4YepIGLJMlGSkcQpYQaOF1OvGLTrBiVdQZIkbu6Ocf0Ys6TSPkXqOl1pTN2wqEMhLQQwpx87P3qmacaNnSFjK+D9+wOSJGNmB2iKTJpl3D2YomkKsgRRkhR9Z9uLeO3y84k4ZFnmj753np3jqUgkX1/MFr9oPDiaFc7N9YrH9QvPby5Wq+h85+VVJlZAraxx9VyLSknlvbtDwijm7987oj/2kCRBKrecgMHUZ2b7xEmWGzoK0zhVldk9meFHKdWShiLL1CsaMqI20FRhjpSkqVibU5/h1EdVZSRJQlWkoi++ezxjaodM7QBFkRhOPLIsxQ1Tgkhc8atLZWqmmFuKtY0Qx0qSmIkiPSS754sqSVP6Y48wEklpV7eatOqPE9ItN2Qw8cmyDNuLGExcuiMPTZX4m7cO+YNvb6NpCpe2GoWB4tjyubLdBIS7uq4p/PKjLhMrQFFkqmX9TKKZ60d8eH/42FyqN3bZORJO4mLe+dlwCxb4zWDneEZvJO6BFdPllYttJEnizv6E44HL2AryxD6xn0sILkKapqSpOHMrcoaUZSiSREpGlCTYgcTNHXGtn05DmiMD/CjDNCQurDf48MEEWU6I44Q4TnH9mChOkWQZywnRVmSRJJMkRHGKIkkkcYqhKcRJSnfsIo69EvWKzoVzdeplnd/7xhbqU+bwUzvg9t6YLBPXtyxDbyTOQoos9pB6RT8jNNNUmVcvdZjawsV/99gqhGWXt4T7vetH3HgwIk0zJAmunWvRqBqf8Te3wAK/eWSZmHtLklj7jarOfHkoCqwvVamYOlGcUC5pvHu3x/yGFiURQSwSqUD0HMmyooY0DZWVpimMJQ2Vc2v13CxKJOX9P/7DDYa5INcLItx8noEEYyegP/EIwhTXl9BUmZkTkqZi/7GcADcXU4ymHt97dR1DS4RhQ7XE3snDdRxEMcOpX9zrJOnha1ZkiRQ4fdpQTlXBcZLy4b1h8VyG/uxzydu3+0VKUUmXz9S1qiLz2uVOnk6k4gUxt3Yf8sGSNKOa8zPjJOV44BSftRfGPAuNik67aWI5IefXaqfSNTLSJOOjnRFe/nmtdcqcOyWAfuVih1pZ43jgcmG9/kIz6kVy+gK/DVCe0A/4OiTwpsmz95UvI7wgIh9DkabCYPe3FQsRx1ccy02TuwcT+iOPZs1grV1GlqUzis3t1Rq39sbMnEDEgqdiIOy6EZBRr5RIU5937/RpVAxeudjm9Usd/vLXB0ytgDTOCoe8Dx8MKelCjfrXv96nO/aYWKII0xThKvbR7ogUREx6VWc4Ew77948F2bFR0QkCA0mW8PwIJ1fvHg4crm63yLIMywmpVw0OezYTK6BdN+g0TaZWgKYplHWVlYbBflfG8SJBBg0jfvzuIVVTQ1GEKtfQJExdIU0FCf7KuRaDqYvlRtQrBttrde4eTIvDmXCrdvH8CGQJx4v4q18f8DuvrdOolXj9yhKHfYdKSSGMFKIopVktUTU1LDfgZOBguSEzJ2D3xKI3doqoYFmROLda41cfdRnlQ2XHi7i1O+KHb2zi+g/Vin4Y8Rc/3+XcmiBhVkydzeUq5/M/pymUNIWJ5aPI8pnCMk0zDvs2XiAij5dbJuOc4G+7EYOJhxfGhFFCraIVxXuSZhwPbdIUOg2TOBEN5wdHU7ZXa0WxvdQ0OexZBFGCpir0RiJJYh43CaLZ+klUZV93zD9DEEX61BaO9zMnJAgT6hX9DOFhcOrxrh+zczzjxoMhaZqiKhJJCrYbCCfImfjuFUUSLhq5m8ZKy+DGgxEnI4fXL7W5fzjjaGjjBwlRLMjbY9tntWkyzQkjkiQTRmLQa+oyQZwQBDFBJMQbqixTMzWCMCOVoFXVOOrbKLlwzI9iBhOPneMJx32Lly50yFLh+q2MZYYTl5s7Y6Io5uKGcN9x3QA3StEU4QBSQiNKEtH0jzMUOUVTFJbqJm4g4s8bFZ0MiYkT0K6JdXjYtblzMEZBNGUdL2JrpcZyq8RBz8bQFbZWhLNWo2IgSxl/984xP//whAvrtVysZuAEEd2RQ3fs4rgRw5lP2VD55rVlktz5ao4kFbHlM1s4UDWqBlsrVUqGGCgf9GyyLGNzufqJ3DZa9RKXNpsMJh7qE6JZF/hyQFcVBlMPywko6SqTqcvbt3vsHs1w/ZiKqRKECWtLFbZWqoWICURyzGDikSQZsgw/fe+YKE65fTDCD1LqFZ21pQrLTYMHhxNsP8I0VCGgVGWWGyXSDDEkiIV73Af3h2QpXMlTOCqmxkq7nCcpiYjSmRPSzBuSw6nPubU6JV3l3uGE4dTj0maD0dRjYgf4YYLthxwNLBRZRiIjjsWeM5y5/O3bh/zR989hllRevdzh794+YmwFlEsqthehyBI/fveIjZUqjifEmY2KJtaTIqEoCnGaFq5VR32bIEpZkkWcqx+I9zWe+XnyR5m9riUSefKEkM3lqiCiTQPuH4oGSatuoKkKWytVDvo2lzbr/P/Z+48gy7I0zw/7nXPl08+1h3voyIyUJTKzqqu1nAFmgBliCGBAwgwLCtBoNAMXQyM3NBBGLLjgCqBxQdCMRmEEZggYQZBAo6d7enqmplpUdWVVahE6wrX70+JqcQ4X5/oLkZGquqoys9r/i6oMd3/63XPO931/keYFUWKc6FzXJk4K7h1OUT/c4dr5Lle2Otw7nPLB/SHTeUpvHFGvOQsBB5jB7P2jGbYlieKczZUGtmUEcUVR8uH9ETf3RoRxRp6bNXsepbSbHqtd8553Wx5LLR/ftbm5O6bhO3iuxe09k1ayuVJn/2TOxnIdz7WrdV9jSUm35RNEGa26y+99+wLNusvhIDBNcts0hYQQZi1ybVxb8syFJVY6Nf7Zj3aJ05LNlQZXP8NeffPBmL3eDCkFDd9BSHO/Zykcn47TFI7ltv/YIO3Lgt/91gX+sz/8kPfvDTnoB4skmTOc4QxfPI4GAT/6sMet3RFBnNOs2cyqoWP5E2rxJKYGkUKSFSXzKOXa+S7dlsebN3soBY2aIVTe2htz7XyHaZDSargLF/qnYbVTYzRLmAUmJvbRuvCLRJwWiySu07P5F4HhNGY4TfCrOuQXoRF8hr86jgYhs9CQjeqezWiaVAQlwckoRyuwbEEL2DuZIYTgwnqD8SwhTHLWuiZd4t7hFMeWrHdrvHGrZ1zTVutoNINpgutIzm/UufVgSl5q1rs+D46nDMYpvitBKGZhiVKa5bbH4TAiiHNadce4H1XPV2H6E15UYlmGkIE0v/Uch6LUpHlOw7d5ZrvNaJYgheC3XzvPB/eHTOYpKx0f37F5MJthScHXry1x72DCLMzMGfxci/fvj3Adi/Vug+E8QSmNbVvEac4sNMTqC9dXOR7FJGnBudUmSVZw0A/wXYuN5QZ7JwFKKda7dXrjkMN+SKNus7lae6xP9e6dPkfDkPWlOs9dWl6sFxsrNSPETYxrbcO3ubU7RkrBK9fXmYYZ8yDj3FqDFy59vDHHNEg5GUU4VQ1vWx9PFP1JSCKftdegteZwEBJEGd2W/5hb+Rl+PphUNaXrWARhyvpynfsHE27vTeiNQyZBRnkq0NRm/9LYRHHOLMqxLIuj/oxpmHM8CnEdycW1JrOoMInQFamwVJpZnLLfg+W2h22ZPkVSGQBJKSjKEmnBLCy4+SDjylabc6sNskLhupI0K3EcC7vqK9Y9i6woubM3YR5nrHdrrHZrvHt3wHCa0Kw5LLU8orQgyYypkmtbvHV7wFLb48HRjG+9sMFKx6c/jrm1N14QQT1X8t039njmwhJ1z+b+wZTDfsDxKKLb9Gg3XBzLIstLbCkWDtKXN9sUSuE5NtvrDTaW6yy1fF55boPbe2PKUrOxUn/smsiLktEsYRpkWFVdneYFdd/0YGuuXfXXbbxPiLo/HobmbFR3Fw6VZzjDXyf0xzHjeULNM0m0n3auvbjR4sN4xPHQOMXnheKZC0uUSpPlim7Leyzh/dOQZAUCY5hRKkXdt+m2PO7uT9jvB7RqDhc2WzRqDmGcU/NtBhXZVUpBlpfs9uZEUcFhP+D8WoNazaVZc4iTnP7YmLhc2GjRaXm8cfOE/jAEDa5jUQjBcT9AKc1Gt0Z/FNKfxFiWRCvFLDTpHs2aTZqX9MZTLCEIoox5bNZ6aUkzu1GKWVxS9xyOhwEg+Nq1FTZX6vzle8c8OJ6R50U1FzFzDl0xyaU0a35elGhdzZnChGbN5sKmOYftnPQpCl2lONXZXK4zDzNs25jsnK5nDddBSkgyhQDqdcEf/MU9pvOUlU6NV66v8RfvHgHw7Rc3OBwG3N2fEMYFrZohyyZZQZKZ9PXT3td794ZcWGuRFibpYPckeChG5pNrJLvqYZ7hy4HB1OzbWV5yc2eM1prLW53Hkh1OsdTyWGp7jGcpx8MIITRZodhaMcnjm8t1BtOElY7Hnf2Uy+c6jKcJCFjt+lWqTEyYGGO35Y5Pliu00hwNIrJC0fAs0urs0WmZx0qygmcvNDkZhQzGEUdDk7plTOgUlm1hWxYgSdIC4dlIYbgSShlR1CzOUKURRNV9m/PrDd69PTLnLM2C+JrlJcvtGlqb2cjRIKDh2wxnCWUJcZbTqru8eeuEtaU6Amj4Et/zuHa+TVGAa8tqDiAZThN2e3MKZcTrNc/mYBgQRDmTIOFbL2ygNbx7d4AQgtde2EArzQ/fP+LOvklUdF2LlbbP81eWF30Zz7WIKoGW1uaaG88SPrg/wpLQbngmmXW5xnCaUJaazSfOT2f4+eGz1o7D6noEwy9Js5LhLOGtmz2yrGQeZhz2A+LUmLt5jkl5mgeG4yOlwJWSXJl0GlWYOkKnBSfj2HCIPkbXczp/LEuB70pcW5BkRhBCBo7EGE8KwXieViJAk2I1ixWqhMPBnN5YMpgklaiq5N6hITT/m3/zWeZhymRuCN5SmL1upfOw/pjMTF9hGmSm5zGJ6Y1jHEdS823yQtGsO/zOq+cXz9uxLVa7NXrjaEHWBuNcv9KpMZ6ni9QMrY253V9VxHFxs8Wd/QllqVnt+hwPo0Va4ZlQ/AyfF71RxHie0Kg5bK81P5FcH1WGzkIIGjWbo37I0TDE92zWluqsduvmO94yPJb37o4I4ozrl5ZQpSZOCrTWVUKG4euAMRdGCOK0wHdtlpo2f/D9HQbjiAvn2lzZbvEf/aN3COOcX/naJlFc0KuSOFxHotHVzBqE1guCrhAWFiYJJ8tNQpTvmB6G0lD3jeHJwSBAIlhp+7xzp8+Doxmea/G3fuUyw6lJHGrXHS5stPizt49I0pwLG22+fm2Z775xiNbw2vNrvHBlhbdu9bFtybdf3OD/9ccfsn8S0Kg5/A//zkukuWIyNz2bf+VXL/MHf/6AtCi5er7Du7cHzAIjoPCWalzd6nD/aIZnW/zOa+eZBhmTeUKauwTRQ4PNojSGETd2RpSl5vrFpYpDNUMKwdqSmasMJjGea/HClRWOBqFJ12t5dJouH9wbkheK8SzBceRiHRlVPMFTE9pTnsejuLDR5sLGpydotOoua0s1+uMY25I8d7HLwSAkiAwfZWO5zt7JnDgtWG77j/HZPgtO+QvthvdTnR0VpWLvZE5eKDaW62civJ8jWnUX37O4uz/Fdy2uX+x+0U/pc6M3n33kZ6MUPrtk/cuJVvPLMZ/9PFhu+/QrbqwGrmx/9XquK90ab9w8Yfd4Trfl8bVnfrJkmjMRx5cYhmj5yY3QaZjh2hYbK3VsS9Ifx5x/guDbqDm8+tw6lhS8e2dAlBRIKXjh8jJKm3ij3jim5lp4juTO3oirW12+eX2dW3sDgt0ZaZaRFTYHx8ahoubZ3K7ED6VJAqasip84KVCAZ0ukJeiNQ/ZOQiwpyDLFNMw4v25c89M84WiQYAnNPCnJ8pLL5zqcW22w3wto1hzSrKAoNRtdD1sugSoZzHIG05SiVLTqNkFcEmcl41lKr1ITI+B3XzvP2lKDVs0x7jY1m43lVVa6psiLk4KD3pw4zXFsSaGMGGUcpLi2JM2No/obN3p0mi7rS3VevV5Ha8Vh3xDzHMcQYcO4QCkzKE+yksk8IwhTVr7j0256XN3usnM042gQkmTmkKsBWR22XdvGdU2ayY0HE9K8YBJk2Jbg3/qbzz0Wgea7As+zFmQ7/xERx0E/qBS8ZlBYKsXuyZw8LxexcnlR4liCb7+4ievYaKX4cGdMf1zFFJ9rE8S5cUtMCorSNI/yIsNzLJ65sMTmSp3DfsgszCs3c7mInjzD4zh1ePefUHHXPBvHknzj2Y8KA8C49eV5ySRIOewF1GtGJR8mGfMoRwqBFII8N837LCtxHJuLmy1aDY9f/do5/st/fhut4c5ezK2dMVe3O0RJTp4ro0AX0G14dNseL1xd4o++v0upzABAYlTrQZShtEIb/ReOK5GWZKllHJ+Mk5RkqekSZQXDcUShdEW8HpGkJcsdj+VOnatbHd662SPJctDwzt0RG0s10lJRlmYIW5TQbplI1SQtcWyJ40g8x8QljmYpQZwRJTmbyzWK0sQn7x3PGEwSSq3JspJm3ePKdpt23WE4jWn4ZnBdlIpr212kFAymKQf9OWlW8voHJ/THMb/88jkO+gEno5g4zRlOExq+w6Vzbe4eTum2fS5tthfr897JnJNhyL3DKaXSXNxoMY8yXnlunVu740X84jzK+eazaz8RcevqdodL59pnrpxfYrx554QgzChL4zzzxs0BCuN61q473D/K0dXQL04KnjlvvoNKGffNvFDM44x5mLG1Wufdu0NG0wTfs5nME373tW3+8Q92CJKcNDNCqc3VBnFSLAaG/XHMpXMteqOYq1tGrFSvubx8bXXR+D3dI8rSJF/YliHm1zybJC1I84JzK43FUFRKUYkwpCFbaHBtKLVgpe0ynJqmRZTk/NFf7PC1a+ug4VsvrPP+Pcnd/Rl13+agF9LwjTuw0vDqC+tooOXbDGYJpdIst1wO+pEhjAhDGjklgnzrxQ2iuKDmGlHI/YMZWmn2+yF1z6Rz3dmfsL1S5507fYQwTjvv3x/yb/7udbbWmmyuNDjoz2nUXGZRyps3+jQ8h/7ENME8x+J4FNHwbW7ujJgFGcNpzJ2D6VPJTmWpub03YXvdkKZsW/K1ayv8/p/fI0kLxpOUySxlfbnGLLS4sN5kY6XB6lKd117YWFzPp+e0/jji1t4Y37N5cDjlsB+ysVzjzZt9vvPSJifjiLrvsNatcWGjyYtXVhYDs944Yv8kQGnjSrjaqdFuuMRJwdeeWWU4jdnvmZSwv/2rV7Bt6zHX4o/D/smc1z88Xvz7+sUu33p+44yA+hmxdzwHDHHhy4jVbo3XXtjg9Q9O+K++e4d/7+9/84t+Smc4w197KGXizL/35gE/vtGjNw5J0pKaZ5GViqJy2/5JdBwK8CyzZzZrDmtLdZ650KVdd9lea3DQD5hHOZ2GxLFMQibANMiwpfxYtyYpBc9fWn5qPfOzwqmL4Mc59GmtubkzWqRPhXHON66v/Vye26MIomyRxAimlrq0+emDkzP8YqM3jtg7maO0rojbmq1Vc329/yDGkpIShVKa4SymCo5j9yTgwkabmmcxizOKE0W77iKAH394jBYSS8JBL1w4uZVK896dMY4tsaTmeBQZ51hLECWCrCgXdUJvZM7hnu8QRAWWLRCF6WUIIUgyRVHkSEvSbfqsLpnB2GnKhzGVkKiqFhDA7d0xYVKQphl39jT3j6Y41Qv68Y0Bv/nKeVxbsncScG61zrde3MSSxiHTdS2yvCDJS4aTBMcWaIz73dZqE9cWfHB/SJyZGkEIwSxMubrdQivoTxKSvKTuWwgkt/dmfONZQ4K6sz/h7dsDtNacDCN2j2dsLJsBx+l6kWYlti15+1afLDfvZ5IW/P3fvU6SlR/p7zyKJCu4tTumVBopjCj9mQtdikJ97Lr1cb/T2kSJP3n+vrkzXqTzBlHONz6m13A8jBYClWlgTACe5gh8hp8NkrTg9t544dQcxhk116Y/iTkcBEb0/4hBmqycI1U1oHcdyXAaMQ/zRQqX1iW9SYDnOTzukW6uwzzPGU1NCqVnwyQwrpK+5zANTHpoXpRYlqmnN5cbfOP6Gsf9AN93jIGIJRap22FiDIEcx+LB0ZSdwymDmXGZnkU5h4OAdsNlrSKEtOo2B72AvV7A1qpJC91abWBbhqiVZiWlVoznJa5t8d6dAd2Wj1IlR8MQ17EYzxKubnfptD22VxvGVCLK2VpvIoHz6w0O+iFlqZkGGXcPJjx/aZlXn1tfvNfGddRcE3f3p8ZAJzcOoJc3W0wj36SLVPg0sedwGj92NrKkYG2p/plr488y5znDGb5oPPk9ffTf0yDl/qE5107mphf4NKOhR29z2sNKq97evYMpz19e5pvX159aOzztOnn0Z1IKepOYdsNFaU3Nc9g5mvHhgyHzMEcIiLOSV66vVYQmwY8+OOZkGBoXftskkc3CnLxUTOcpL15dYr1b57tv7HNhwyRxR5XZS5wWLLV9hpXpU5zkCGlc9MMox7ZNAoVvSw4HJiHNsQVxVjAJEsYzQ+AyCdsS2zJCklrLYxIYQUaal0akYWkOBgEaxdEopChKBtOEUiksS1JWZDcpNSjI8gItBGiFyWOHVsNj72SO50iO+iEaaNddxvOYy+cuU1bO67d2JswrctnO8YyyVIvd5HiQ8v13j7CkpOYFdFsef/c3ruDZFuMgW7j9JmlJ3St5/tIS51YaWLZgMn9IWPNdm1n1GOa88nCvOq2RTtfpsxrpy42aaxylT8XD0zDj5s6Ib15f/8jfCiF49sISu8czbu2OF9evlKIySAw46AXGaDDJyfOSC5ttOg2HZsNj/2RuBAiOpNSaK1ttmp7FH/9on7woSDJtvk/S1Cb1mo0loenbBGHKOMiZBwlxUlCqEksIEMYF2/ds2g2PRs3Gd20eHBV4ro0lBbYtsQXgWtSUpigVNx6MQRiiuxRGv27bGGO4SlyqSkWYFkRxTpAUFEVJXmiCKEcgqrXHwnGMCH4yS7h6vsuFzSZXt7vs9+bUfKcyZTSpCUWZc29/ujDr+yev7yIUZEWJwKT7nF9vMZ6ZXr8UhuR6NAz4e7/9DHGVvtMbRYyrFCEhBNN5VgmucubVPL9ec1jr1rm02aYs9cfWKWf42SLNy0XCBJj59bMfI2RzHYu4cle2LMEkSNg/mbPXmxPEBVJqRvMYtNlvlDZn1rI0M/+y1HiORCqwpaCoKNqlgiQtPzGXRWsjjJ6GKWWpqXmSNBOUWqMxgi1ZKIQlsKThvvjCcCBOE7i0gnFoDCxG04Q4zbFti+Es5p98/wHPXVqmWXM4GUWMpokxdw1S3rrVo+5ZjOcJSVbQqruUSrNzMidKzPd5ueXzO98+z4tXlum2PspVeVJ4dvrvp/E2nsSpEexndabvNL1FXXJjZ0QQmZ7JPMr4xrNrn2jwcIYzPIrxPOHBkSEZTwMzr/84oyWlNDd2xqSp+b7tpiUf7ozM2jJPieKcZt1lretjWxY3HoxRWiMF7PcCYzSszZkwyYoFtwkectkavo3vOfzRD/bYOwkoioJbOxP+g//kB5RKU5YF/82fxiy1/cU5P4gLYzxb9QKLkmofldi2xTRMkVLguZIkU5xbqbPaNT0ry5LsHc/NHAD4/ruHHA4iylKRF5o//v4uv/tLF1ntlLiOZRKFlMaxrKr3OqPumWv83uGcX/161a+U8M9/tMvtXcPridOS//vvv8+/+/e+jusYo+i1pTr/8//eNwjikk7T5QfvHqOriUyYFPxbf/M5wqTAdwSzMOf23mTxOdnVaz3dg6+d7/K1a8sUBUhb8g//8MPFvj6YxNzZnyyOykpp/u5vXFv0Hf/p6ztM5mY/D+OcrbUGTs28Jt99+rqWZSXuI2vbJ/UiH8WVrQ7n11vYljDpLS2/qm8keyfzx/iHnmvRrDlP7Vc++p2UUiz4Cw/fn58ep/DewXRRm06DlK8/u/alNFT8RUSSFqRZyfpyDVtKBtOEbuur1W+W0cFHfvbMua+6hAPG8/CLfgqfG+MgWfQkBLDfi77gZ/T5sX8yZzBJ8FyLLDf15CvPfbRm/jSciTi+hNBac2d/wniW4jkW1y8tPbVoADNcPFU9Hg5CPMdia63Bb796nrWlx0kWrbrDSscnTgsaNYe15QbXCsUbN06YBRmuIzjsB4yDjB/fHFSDQkWYnFJEct67N8RxbZ7ZboGGR85vi+JOSIHQptERJzkPjmdVA0+QFwrXkdzeHXM0jCirCVSj5gKaJC1Yank0aw5JViKEoDeOubEzAkwxtdzyCOKC8UwaMrotKZQ2z1eYIXSUFAhh3A3DtESsNFjp+JxbbTCdpxz3Q7739gHDScxwlhCnBa5tsbla59svbLJ3EpBmBe26s1DoDyYx9w6mJqZRSBzHol13Ob/eqopgTZgUhlgvBVFacPdgSvyn93nt+TUc24g9Lm40F45FljRCkXfu9Hnu0jK/+9p53ro1wLIHbLTM51eUmiDKHhNxWJbN1kqDO/sTHNtie/3hgT15InZtFmagTSOgLDWFNATjMM65sz9ltVvDcx4/uA1nyWNx1nFa8MLlZXaP55RKc27VOEA+ijjNgTMRx5PojSJ2jk2BdWmzzeZKfaFS7o0ihtMEx5Y8d2lp4XKSFyU3dsacDEPu7k8XbjeunbCxXKdV91jtlkRxDtoQveaxaXraheKwr7DGEW/f6hFERrTlWJCXmiTLyQtFWQkypNTsHs/Z781xHeMSlWaqEhhBXoDSZg043TRtS9KquTQaDlmqGEwjlFKEqUnOKBSkmaJUiqwoefvOAM8x15fvWuaaSwoKpUjykijOKJUhmJw63SiladRsHMfi3EqdKDFK/P444o1bPSxL0q27/M1fucR79wb8+EaPLDdNVc+p3PNKI+x6cDRFq0oR7Nu06g6//eoFXryywnAaL6IVlTaJJ7sncwaTmHmU4TiWiSCX5n0Io5y3b/fpj2PWloyT52SecHd/yl5vbsgjVDGVShNlxeJaKgrznkj5kxUPZwKOLzcmk4Q4OyUAKI6Gc+w7kpNxxIktjeDqYkmSFvzg/SPevt2n1TAx4uc3Ghz2A3qjkFmQ8Uc/2GUeGcKE0po4Lfh//MGHHA1COk0PS1rYlkKXhhQ0nqVMw4zpPCXOCnaOZigN7brDte0uX7u2uniecXra5DXDi/1ewErb59r5DmleLgpuz5W8ebOPZUvjotXy2DuxjNNbqcjyksNBRFFqGr5lor+nMf/pH36AVppvPLvOWrfGeJbhuhLflYTVdex7FpaUZFnJvXFEXpScjIy7Q1GUHPTm5KVCa8U8tLm40aTb9BhOE4QQ5EVJbxKR5kXlCJqjtCLNSlp1j8E0puZZ1H2XeqkXDQspBZMg4/7hlDDOCZOcUilG8wQJHA5CilLxg/eOuXcw4XAYmSFMmD1+4KkwmiY06g5O1XQ9JcMMpwnTMCWqBHcgcBzBylKdTstn+ZEG1qMIYiNuk0KQVet0URH7otREUudVfGD5hCXS6edqSCwp41lCp+mzuVIny0vuHkzNWQDz349+Jz4J0zB77N9BnJ8RTz4Hdk8MyefC5pdTxAHwb/zOs7z+wQl/8voe//2/+dzndlA5wxnO8NNBkhULQq7SxvkqjDOixKTn5UXBp6RrfybYtkRKSavu0Gl43D+YgdAstXxevrbKvf0JNc+iWXcYz5NFDXq6z3wSfl5n1b2TOX/29gGl0rx4ZYVXn9IIU5W77ynSvPy5ikxOcRpnforkM7yPZ/jFRxjn7BzPjOO9Lbl0rs08zJES/IMJk7kZuAoMmSKvbifygoP+nLwwxAs6HvPQJN5FmVkntNaUhUnVtCyJxojFgQVpQwug0IshrJTSuDpbkqI0LpyObXpv/UkCGpYajiHsZUYE8PzFNvcPzTnn6nabvZOAOC2pezZRXHDvwKSH3D+Y8O7dAUWpsS1jEmFbNkKY9+H1D46No27NplnbXKw5niP583cOSFLFudU6rbrLJEixLUkYpez1AspS0647SCkWznNBnHHYjyir9FIUpBWhcjZP+PGNHkprhlOTVpvlhlQ6C0/P7YZwcf9oShDltBouQZRy0AsRQvDMhS5Km5TATtPl2QtLTz0bp1nJyShiMk+xpGDc9XnjlnFHvbzV5te/sb3424N+wJ++dUBRKK5fWuKXXtxc/G5c9RqU1pxfay6c/00a8cP1xfR4nk4Qf7JHGKcFZ97WPz+c1tilUjw4mnEyjHBdSX8cEaflY3u7JUzfTWuIMkU8iPEcWaXiPkSpYBaW+AVYwhCvTtOlw7gkiktcO2NtuUFegGUbAUeamXo1y42xQqEUOkx45+6At+4MSDPTq9SY/cqWko3VBnklfJhGCZN5Qp6fErwEghIQxHZJmOQ4tkWaKRSaolAUpeLeoRmqW5bgZBzTG4em3q3MoISQ9CtS9mCa8OKVFTzXpuZZvHxtmzgtqr674tbeBMsS+J5JszwcGNOobzyzxvOXlhFCcDIKq9ROwdXtDsttn6jafz3HwhKw3w9oNz2uXzTX8HLbmCB8Ek7drAHCJOfHN3qsLtXYXmt+YqLhaY83Tgzh7PqlpbP+3hm+dDh12I/TgnbDZWu1wZ39KUVpHE0vnWsvUn1O8eT+EkQZt3Yni9ucX2/yzp0Bf/7OAVmmuLLVYXu9SVI9xpPXwf3DqXF+tSXPXVxCCCNYzAvFarfG1e0OSmm2Vpsm8UsKlloed/Yn3D+YUSrFSrtGnpf86MMT7h1OGc9SGp5FrzK/Wen69MYRSsEkyNjrzdntBZxbHVIUJW/c6GHbkq3VJhoYjCNORjFBnDMNMnzXouE7xFlu5hhRBkJg28akx7QHBUWuGE4zbGnqgVJriqKgLAVaC8KoIKvmL2ml5Hv//pi653DQ8+mPQ7Lc9AXREFuGuKsqwprSICXYlplnGFd9l0bN4XAQMMPsO0IIXFfS8M36Fic579wZctCbMQ9z6jWHPC/NrNMGhEZA5Uhu5q2H/YB+lSbV8B06DRdbStK8ZDIz4hSESWf/G790kQ/vD/Fcm2fPd/jwwZhZmLHU8hZiWTDr6eHAJA04tsRzLS5tcoYvKZ692GXn2IgrVju+6Vvn6hPr6/Es5d7BhCDOyXLNaJZwMo4oS71IIgdDthsHJkkjK8z3L4hNL7rp26x1a7x0dZX/9vs7C9GrBvK8xHekmX0KiLOC/d4cjah4DYZwjTDXiNKaTt3heGQITe26y6VzLT68NyLJSuKKrCowXAVbSvpBbEjb1X0WGlQJw1lM3XMZzxRBlC+uQfM4j74L5h95aQwobZmzX3EZCqXMTGeaVOliFjOV4bpWdW7JSTLFaJay3HYByWiWGBGYZ3MyjIjSgiDMSfMcy0opypL/9f/pz6g5NitLNf71335mYVC32q3juZL7h1MjaK14Gte2O5RK88bNHmVp5v5PE+ed4WeLNCsfGz09rf+mlOENzYKMWZhyYaNFu+Hy+gcn/OjDk0WaRLvughLkSlFqYx4nKi7P6UOEidnPsydifj9JwHGKKIUky5CWXKRXCCRCQ5Yrkswk6wynhsBW822KvCTOlLlOPIt5lFOWinlsXmdRlhRlSpyO6I1jLCGQlsC2JJ2Wy4OjGTcejJmGCbYl2V5r8Z2XN0nTgmbNMSKrirNjWxZZ8fRX0qq7XN3uMJzG+J7N+XXzXV/p1MgLxTRIadbdj5i5HQ1C9nqmtri23fnMhghCCIRgYfIIph9z2oM4wxk+C5In+spx8vF95aJUvHXrhJs7E6QQnF9vstTyCSuhk2VLPnwwZBZmtOouTd/m3XtDylLTrDsoNNX4mYZvIykJkhIEtFsO33vzgGmQ4toC3zN9NK1ASsM/E9I0NCxLsb7coOEbbmO7rhlOIqK4QEhBu2lz0J8zmafUPIfL55omPa5Q1Hybrz2zys7xnCwr+Nq1Nf7ivUPCueH9hUlhUrQ06FIRZRk3HgyZhjntuoPSmqIsUQp8SzILUk59G5xccf/I8OqkEOwcTSiqdaxQmnEQ84P3jhb1UFaU/Oj9E9Ki5PqFJRxHMu6ZM0q3VeP23pjxzPQpW43HU6x8167MsrJKeJnwB+8dUZSKK+faKG2EJkJUn+kjy1YQ57x/b0gY5zRqDlmuOB6GlErT8B1+/ZtbhjegTCqv0pqjQYhtSTaWavyn//gDDvohjbrD3/nVK7x9e8A8yljt1vjdb1/8RHPHB0czY/BjSa6d73DYD5lHGTXf5sllqzeKuDlPUVU68KM9Ea01dw+mjKqE6Cd5rk/WkX8VPHpfWps99UzE8fNBmpd8cG/E8SjEsSWvPb/BM+e7X/TT+lz4y3sf/a78yVsf8nvffOELeDY/PczDn8QC8ItFnqWLpVADRZZ+kU/nJ8IkSBhM44WJyceZIn4azkQcX0KM5yn9cUyU5DiOxX5v/pjqfhZm5EWJa0sG04hZmDKaJfRHEefWGqRZyY9v9Phbv3J5kcSQ5iWzIGU8N3Fc3abLcGKaENe2u7x3p0dvnBOE5hCkHE2eq49wFrMSdFZwZ3+GEBrLMsMjME3DogSqBknNc8gKhWNZpmmIXGzwg2lCUepF4RjFGZ5n0W15tBou59aaHA0jHhzNuL03NkWmMGpdx5LklWN/WaiKWKmxpI8lFbZngzAk1LyEKM4NWaIqlsKkYDiJ2Tma4diSMMrQGvy6y/Eg5ObumJW2x8bKMiej0BDtZzGuY3E4CKl7Np2mhy7ha9dWycuSMDLv22q3RpgYB49ZmNOqOZRKc3N3wgtXDGFyqV3j1ec28F0TIV3zbGZhyg/ePeSZC0v8jV+6SJzmfHDfCFeWWh4bS49HHgnAdiyubnfNDx75nJbbPseDkDQvadVdzq02COOcum/TqDkURUmc5rTq5kAZxBnPXljnwbFJ66j5Ns9e6HA8jBdD4ZVODce2uPbIxiuAk1FElaD3uaKv/7qgVJoHx7PF57NzPONbL2wghGAyTxlWkVB5YaLenrtklJ1Hg5DJPGXvZE5RufQ7tiRKDdlje7WBJWB7tUlciZ2UMoPbolQUShPMjet/oTRC6UWTM6+GtWCai4UCUWUCnx76LQvKqqixLNCVWZKqlPKuLem0PC6ttxnNUwqlmIUZviMJ45xSFUihyc2licY8/8EkYffYDFWyvDSO/EpT8IgITBgygiNha71DnGYcD0IsS9JueOz1wkrgZSKAbj4YLVxKNKCVEatYhWkKjWYmBj0vFXu9Ocsd3yQJ7U3wXIsLa03evzskzQqkhHrdYR6Z68OxLcIko1FzsGyJEIJ5mLHc9emPI46GIZ2GR5KViyJhGqV4nsXGUr367MqFiKPdcHHss8LhFxWTIH/s33mhmUSGyF/3PaRUTOcZ9w6niy/8ZJ6yfzJnMs+MOl1rjoeRaUBoU7y7tlUVnTY1317E+TZ8i4tbbe7uTRFCECU5kyDFcyTHw5C8UAxcC0s+rj9YafscVYOyyTzBtoxD3EE/5KWrKwihOeiF3Nkf06g5eK5tGpu+Q7flkWaK4TxGoxEIBKZBa8STxvstyhU7JzO215qsL5toY9erXLSU2ftHk5h5bJK9DvuhGZRoCNMC15bGaVxKOk2XaZTzzu0+q0t15kVGUZoL3rYkvUlskrOyklmY4tpWJSIFWxZY0mPneMpKu8aociYKE5M0laQ5nmthCXN744Kq8R1Jkhn3LKRZF59W9FsUeI6/aPScDky1NuLLaZTjOhbbaw1mUY7nWJxbaSwO7WWpmAQpjm3RbrhsLDfwXPN5txseliXwXJu6X9Kum6ZR3TN7t2NLwjijLEv6k6SKz86J05IgNENUpWLaDZN+8ug54ZTI91lwfr1piHfVbS5+icUIX0bsnYo4vsQDsJeurvDS1RXevzfk//b77/O/+ne+9UU/pTOc4RcCR4OAMM45v9H6iCvS03DqRikA17UoVElWlGitEOifioADwJKSdsMhLzVBnOO6NpaA3jjm8maLMM44v9ai2XDZP5nTbrjG0a7zxdR6Rak4qMgYF9abWJbk9fePF2LGD+4NubbdWURlB1FGbxzTqNm0Gg7zKiGg2/K+EMJkp2nev6Jqmiy3z4RyZzBEydE0ZhqkdJoeV7baNHwHIY0b5imepB5oTl3MjPvyPJJmEGsJHEuSphmFAluAloY4LKQhLZ8aqEija8CqmFO2LbFtgcbCtQWeI0gLhVUlb/iuhQYmYYZtGQGG1oqbe1M6DbMu3N4zsem+a3pxJ+OAJC8RAm7vT8zZHRb9QemYGkLaRrgMpu6Zxxm398bUfIf3K+EHKIbTqCIsOVhSEGem9lBao8qSeWhqqbxQDCYJ9WpQHEamDnFsCymhRHM0CAzRPcmrdA1BqRRlKRcE7cE4YrlTQwjBYBJx/3BWOfAKbu2OWO34pHlJXiha9ZAozfEc+/HzXuWQB6YvdPP+iOWOuf4fHM4MkbUacP7og5PFWfvWzpirW21Wu/XF356SY/Z7AavdGq5jIYRgue0zqsxV2k0X52MGscttn36VqCiloNvyPsO39Aw/LTRqDp5jcf9ozt39CVqBiGEyj8mLxwkZ0hKoUi/StjSQ5E+v3QplXJeVTilLhW2xOCtozH9PZgmbK3XK4NTMpUSV6jGCYZbDdJZiORaOJTgeRbi2xUrbYx5njKYJnZZDkGTkuSFenvYglVZYgOdZxkjFMWYNa0t15lGOY0mmQcrWaoNW3eHW3pThOF4IyIryVNhlTJ06DQfLsjgZRvzmq9s8c6FLzbPZWmsSJzmvf3iM71q0Gx69kUk0sqSkLDUHfePqmBflIi1Dac2tnTHPXuzSrDlM5ibVN8lKLmy2aNZcQCx6sZ+G5bbP8TBEa+iPItaWjDPwUT/AenmTTtMnSnIavvNYqsfhIFyQbeZRRn8csbnS+LiHOcNfc0yq2d1Kp/ZzTU06HIQL0ugszOhPzLUapyYNeKVbo9N0sSyxOIc/OguKkpx37w5QyvSrTkYRRam4ezhhPE/pDUOCOKPTcmk3jXv2ZJ4s5kpZoYz7L8Yg5e7BhLhy9gyqxJ9WzWalawyihBA0fHuRinFqgBOnZnZ452DKcBIzCzPu7MWcX2+x0qlxMgqxpaQoc2ahccm1pGDveE7dd/Bci1mUoUuN70kjus1NGqLjSIpc00sKbAvS3PTaBBpVmsSjuDKWc10jGEtzM7dxbePEaElJqRXTKF2YZZ0uyQqI0hw7MgT5UxKdqP5XKUVRVGJc/ZAwfrr+NnyXpZZHp+lW4ghzhlvp1CqituL9e0PmQcI8ykjykrw0MxvXlRSlRgrJ1loDb2FSpYmSgqWWj1KaSZCwsdRAo2nVHHzPIa8M9Twn55ntDq89vwEYcn5W9W9PBTen0JVpAZgeZfqEQOgMXy74rm2EVTxM4fm0+jovFHFakudmDjgLU2ZBhucaJ31VKoKkYBKkxGmBV5nLKTR130G74DiSl6+u0ul4xv2+EhkJYXrwvmd6GaU25ooISZSkhkgAeI5NXipcx5A1e9MEKcGREmkJgqhguVMzCTilmUlKCW5hhBKm5lLoR9rqWhkS9jxKycuH1/BnabUXylwXritpDCzqNYcwyZnHGWGcU6vZbK826TQ9xvOYKC0ps5LesDxdCEgyY6IXpQWDaWzOYraF1prBJKbuOTRqNkj4T//wQ166skK74RLGGbvHE9Lc8CqiNK/OahY7R7PFun40CFmpah2todv0PiIST7KC/ROTIPJJItYzfHY0fHsxEwKTYnVnz8zmzlWO+6NZwmSe4tiSlU4NyxLc2Z+yezwjiA0XwHMkdd82iReZIQUXKCxLfKyw4bPCtqGoag2lTWqg5UoKYTYjJYQRpOsqSVJpVKrJSkXDt6l5NoUSJJmZIcaPkm4xe7+yBf1xxFLLx9YWZakIwhwhhemXCtBKsXM85Xde26Zb1QRr3Trjual7bEsu+oNPw2q39lQDq82VxlPP53lRLuY7SmvuH86eej47vS4e/cxOsdLxuXc4pSwNsf2z9IjPcIZTdFseB/3A9IUEn9ifz4qSewczYyKhNUejkG88s7Yg0MdJbvg1mDPq3smMvDAGDfMox7UervdFWVIos+dIScUfND3GQmmmYWH6jBpQRnR12t/TaC6s1+k0zbWWZSU3dsfmfFlx9UolsCxzvs0KTbNmkxWKdt1hue3jOjZ5YThrtjR9OzCvfzxLEcKsaZa0FgZKSVbiuBJLSIQEaRmhcamMcFrnJUVekOfKGFk6DhA/8g7KhfnSPMr47o/2cCpewIcPBvRH0cKMdzSL2T2ecjwwP7t0ro2UYvE5pYVJII2TohK6j+iPY3KlSOIc2xEEcYYUcGmzRZIW3Nwb02m4PHdpicNhyGCSsNr1K5GNS1kqWhUHwbYkWlOdVwSti0aw/cP3j9k7CchLRTFX/L//2S1cx2JaCQC315tc2myTF2VlGCoWZzvbEuwcT9k/Caj55oxiPq/CGF8/srbalmQ8Sxa9pYPKLPS0DzIJUkYVB86YbBUL4xEheKwu+KtipVNbpA/7nrUQD53hZ49ZmDKYmrSEvFAcDIIv+Bl9fly/sMI/f+vksZ9dfEKU9VVE8ARn7auAKH20OwInk6/ea6h7zoKDVSi1mFF9XpytYl9CZHlZxdiaL2n9scZ/wP5JQBDnDCcxriPpjwyZUouHX2qtH6old09m7J8ERHHG+w9G2JZkHmSGvKHg2nab/iSlKLTxz9IgKpLl05CXoHSJU8WMKq3RSuFYEq2MSrYotTkUaU3Nteg0PJTSuK5FzbXYr+J8H1VTocWCiC2F4PyGIZEIAJMMbIrOUmFbkkbNoj8VqMpB0JZwcaOJFOag2KrbKKU4HIZM5hlv3u7z2nPr3D2YIi1ROXkZonapTCcmKxSDsXHwvnaxS38smUUpx8OIRs1hNE2Y2Sa+2PcsLEtye39CGJuo02vbbb52bYU4LXnv3gDPMQdSU7g1zMBOw9Zag+W2z+7xnKJQvHGjhxCCvZOAbzy7yt/9jWtc3GyRJCVff2blscgzMAecC+tNgijHsgQrnYdFpxQCxUNnBdexePnaiknOUIKjUYBtS9a6dVY6Po26S6fpcWG9yTRMWe3UaDd8Vjp1xjPTFHjakLdZd3np6gpBnNOsOYuD6xk+G/QTlIxH/3XqzDmapaT5qeOcZh5mzMOMO/tjfNfBcyS//cp55lFGlBaUpRmiuo4kTszm8OR9Z4UhSktLmCEDoEpd1Vlq4S5jS7MegHGxUFoj5amDjcCxLFzP4u+9dpW7B1N6o4h37wxI8wKBNA1EoSn1osdIkuW8eauPVhqNQgptIvkQKK0rIZhGC0VvkjCPSyZBTJIqEFD3YjzHNFA1xrHi1u6YIC4q137jXNhpenQbLs9fXuL+0dwQXUpNqTRpWpCmBR/eH+JWcYi/9OImu8cz2k0z1DVEDxspLVxHcm61gZRiod5+796QslBm7SgVW6sNtNZ0mi5ZoVjr1ji3aho+W6vNRVNo6SsWIXeGz4cnOTMaQ0YqSkizvIqht9hYrptrWqmFE8G8Sjeo10yhXZQlShtRk2MLitIkPJ3upSttn1Y1PEU8FHBFScE0TOmN4+qaNcKjx1AVyllR8O7dAZZlUkJGs4QXLi2xe2JIpMcjI45o1ByOq6SvTtOjVXcRh5rp/OHA0XUsljs+eVEyDozbbKfh0qo7HPYCklxR5IrN83XqnkOc5gtiyqmbFUCpjUNGWolIhVIoFEWm2evN8Vybla5Pq+7SrjskuVoMjZQyzyfNjJuUtowrx14v4PvvHfHgaM7mcoNpmJKmBe2mSxibZK28NIroZt2tiHESISS2Zdx7ioZifanO/cPZY4SXJNc0CsVyy+Pa+Q5LLb9y+jJnKEsKXNsQpdaW6lzcbPPshS5LbZ9SaT54MFoMLc+vG2fdf/XXLrNzPOe3a2aonaQlm2t10qzk694qeaEIk5zDQci9gxnv3R1UkbeCNC+4stVhHpdoXVRnpZh6JcA5bcZsrX52wkin6fG3f+Uyh4OApZZ/Rjb5nDht8l/8Eos4AP7df+1l/hf/8b/ge28e8Fuvnn/MAfoMZzjD58e7d/q8fXsAQP3ukL/zq5dxP2VIt3P8MJLakoZIZUuJLSUN32Y8z55wdfzJECU5aV5Qcx2O7Ii8MLW1JQGtmcxTJvOMixstLm60uHSuTbfpfSG1Xqk0f/bWAftVI357vclvvnL+o3VUdY7oj2P+8v0jJnPjgvXC5SWubrcXZOcvAq5j8dK1FaZBSs2zadU/2eX7DH89MJqn3D0ww9LBNDW1szSERKWFEVp8zPVujDk0QihDgECCMD0iYUksNJYlSKLCnLc11GpmcKlKhefadNs1orig7lsIIZnHGarQdJrGtc5IJ4xL8umgFG1IG44LIMzQtTQDOaU13ZaHKg1xcxLkhLGp4fPCpI1oDQjBasfH9xw8W1LzbVRpHEA9W/LgaG6GrQIeHE6ZR+acLCSsLddo111jrjIMzKBZGwf/jWWTduc6RuQspelfNHzbiKuTglbNYRpkjGfGLMW2BN+8vk4QZ7RqLgc9M+Q0D/iIkEZrosohFFH1a0/mC9LmvcPpot/x3KUlvl2doaQlubjRIoiN42GSP67E059xQX+akOcU1853WJqZXt0n9Ro6TY+XrqwQJjntuvsYufwMP3vYluTCZovvvblPbxjSnySUWhuh5hN/WxRP7nAP+2lP/lxiiAOlMn9UPCH21ECclez2AiwpFmTcJ3QjOLa53nVRYksLxzKpNkIIklSRpCaxpubYtOvSkK6SwpC3lMZzJWvdBpurdZY7Pr/zynlKDa8+n7BzNONkHNGqeYZ4KTS+Z5NVJM1CaaQ2/XW0YGu9TafhUq85XNxsc9gPq9cy4f6hmXHEWcGLV5apuTbLLR8pBVKIxwgFp0izgv1+gJTGBXdzpc6t3RQhBIf9kKVWQbP+2c83jZrDy9dWK8K44mgQcf9wSl4YJ+6ltsdqt46UghcuL9OoOU//8M5who/BYBLxxz/crcRS8LvfuvARIuDPCvqJQWCaFaa3WBGRrp3vsrXW5KWrK8zCjLpn06zOtdMg5ebumINeQFYoLm60TGqE0nxwd8iHD0YUpWIwTbmy3UFruPFgxDRI2T2e06o75nxTKtoNj7xQHA4MWe3uwZQkLXAdiyQr+a1Xttk5njGepxwpRbvhcjKKiRNzPZ/faPDClWXeuzekP46ZhhlhkjMOUnzPojeJEFosxJkN363OPqIyiDG9VdPPPRWNmvekTBVJqirRvSTPTeqXBiwEzZptHPYr0aoAfMfGdSRa29WcpyR/ZK1/9F23pURK/RHjFTMrBdexsaUyMxBpeo6ea9NteDx/ZYlnLyzx8rXVRUKz79gorfjt1y7w6vVV3r07MvNCUd3WMYnFzbrLxlKD3jhkuePxt375CtvrLe7sjQmSnBsPRqA1ZSW8M+I7QbPuU/ddsryg2/LYWm0aslyFR88frbr7mAOvbUsubrYJkxzXefrs8QxfPjxzvst4bs7/nzbnatRtrp3v0BtH5LlaGAomacFgkjANYo6GEY60yMuS9W6NjaU6YZwRJybdCwE/vtnDsQTba03Gs5RSG5H5sxe7NHwXz7U5HgU8OJ5SLMRPGtcWuK6FJ0w9kKTGrKlQmppnkyuMWF1rilxVc9VikVw4D3O01kgBhTDnMVENQkxKuLl6H72GBaZuERrKp+z9ljSzz5NRTJqUFNr8LEoKaq5lEho3Wly90KlE3prhNEYIk0AmhWC161D3TEJJWSjibp04zSsCqybJSyPAy4wj8mAcs9z2GM0ymnUHyxLUXIf93pzRNOXW7phvvbCxEPiDEZEH8WlCofuY2DUrFH/0/R3mkZk3vXxthW9e/2gy6hk+HyxL8tLVFcYz0xv487cOFylyrzy3zktXVx7j62R5yfv3ZtzdnzCYxJSlxvcsLm60ubzV5pvPr7F7OCdIch4cTgiinOyvSOYrn2IsEyRG5JkXhhA9j7JF0t5pT8PSxjzy3GrNcFcKxWRujFVNgsYpj0WiMTyIJCvYavtsrTZ49uISt/YmaLRx6hemvto5mnNlq8Nrz63TbdXIy4L15QadpvczdWD/aLUGWVbwB3/xgKi6br5xfY2vXVtd/N6ITz6ec3WGM3wSap7Ny1dXmEUZdd+hWfvk+rVZc8hscx02fHsxb27VXH74/jFh3DPp1cWpkXN1EQqzh5z2C5R6KFAsSyiTwogEK7iOMZQpqqRgjRGOaK1xHYtXnltjfcnUMXlW8qMbR8yjSixpW1VNDUKUlIVibblOGOWsLtXYPZkvegG1igB7OgOv+zYvXlvmsG9Ml1s1m0lUmLS6UnJtpcNKyyeKC7bXG/RHAVUwlzGt1XrBkRCP9P7ArC2rS2ZN8xyLoycI6Y26wykVU0rBd9/YJ83MD4I45+//3nVmUUbDd/jnb+zxp28foDV8uDOiKBTTiqtx6Eh8VzKanaYwC6K0YB5lCGHEbHu9AKWMgOZbL2zw3KUl8kLR8B0O++FC9Nduujz/6D6dlUyDtHpvDbF+MjdiiwdHM1a7tQUnoeaZOmUamOcltOKf/Wh/8ftLm026rdriPftm2+eFK8vEaUGn6fHh/eFjKeiP4Yn1rubZXL/Y+plwCrfXmjR8Q5xeantYZ0lHPzfYlmS1WyfJDJex8xWce1nio9+Xp6Vcf9Xw1ZM/mCT1RzGehV/QM/nJ0W56vPb8OuN5QrPm/cSC97PJzU8JWV6y3zPNxa21xiduPnFacNA3h4bt9eZHVNdCCMI4NweQms2Llx9uvoOJUYTOgpT+JDZO80GCxDjpScyQNM1L/vH37zEPC476AY4jGU5i0rQk0jmlgiAtsITk9u6YJHt4UWhYNCE+DrYlEFKQZhVhvDCkS9eVLHdqJs6zarQMpslCSa+1UZROw4wwflj1nQ6TJmHKQW/O7tGMWZgTJMaZsD+JF4cVz7VRWjOPjQLUrgbCSaZYX2qyczyjUbOp+y5xmmFVrkHTIOWf/3iPUpkGqyUstDZDnOE0YRImlKXmZBTiOxY3HoxJUhOjmhYldi4XDWjQ2JbkxoMheWniy8azhFmUc26tyb/ya9sstT3evj1ACvitV86z3PZpPLtGnpfGTQS4fzDjxu6IwTSh23SZBCl39yd87Zk1vvHsxzc/6r5Dp+lxMopwLMn2tYcLwGAaU3Ntaq5dHXQDrm53eP7SMnlp4pFX2jWyXFHzHcbThH96tEOz5nJhvQ3AeJawtdZkbemTnULr/pl445NgScHFjRa7FYnz0rn2oijoNj2W2p6J2rMlF9YfEjwtS5CkRsUuMM7n43lKnObM4gyldJWU4bA/DJkGGUWpKCtHpsk8xZaCvNQfIYCcKuFtrVFVbVbxKSrxhiFMFdUvCgWSSmwhJVJolNaMZjGr3Rrfe+OAB0dT9k/mBHGG49joaphrOxJZKorSKOA9R2BJicIo65UCS+qFi/2pw5RrG8FFf/yI2EtTKeAVSpn1x7GkcZayIM3MOuI4ks0lH9d1OBklSC2YJxlFXmJJUQnMjPPwj2+csLnSoFX3ePnaKvv9gCAqqgG4EcS8cn19kUQQxjnjecpBL2Cp6dFueETVUMeSkvuHM0qtqHsWjm1xbrXOhY3WZ7pG8kKx35tTlIpzK40FkW9tqcY3nl1b/F2pNPu9OVlestqtnQlDvkRodx4fOBWlIUpqbfbUgoJ/8cYB7Vafc8smqWUyM3HhWhlh1aWNNq26Q1lqirKg5rl0Wx6zMOP9+0PQ8OKVZXzPZjiJuXnfxAgnmXG1yvKC8cw0RqUEiXG3HU8D1lbM+j4YRxz0Aw5OQsIox7IFji056AX85QcnjKYJDd+hXXfZO5kxmUvirOT+4RTbEuyXJorZxIQbAYbvWNQ8izI35AVbGgLr997Yx68aS6pU9MYx60uwvdbC94xT3HAW0266pslbrXnw0MkqTY0jxNZqkywr+NEHx6x26gsni8ubbe4eTCnKkrpnL6JUG44hnsyCnDdvnDAJc3aP50ihEFKymtaIs5K0iKsod0VaFKx1ayBgrVtbDLGN+KZBzTeuHro6Mk3CHCFNc32lU+N4GNIbx0RJQavh4roWx4OQk1HE+kqNlY7PJEhp1h2SrOTO7pg7B1M82+KXXl5na61J3Xd54fLKR79gj2gn4rRg/3hOv3IG3lprYknBYBrTqrkkWYFSCt+zSavz3bMXuoSJiZgfThNu7Y5Z7dY+E6m10/Q+0cHoDE9HnBrSA3y5kzjADGL/7m9c5b/+3j3+43/0Bv/7f+83vvTP+Qxn+DLj3uFs8d9RnHMyjj/xmsoLhWvLyrWq5L3bAybzjGmYkhUmSfKnMeuzBFUta4R/03lMXp0pbSk5GUc4tkVelJyMI377tQsLYfLnwbt3+pyMYjZW6o8NLj8vwjinN44W/+6NI8I457UXNvj+u0eUpeb6pSWTZobplcyqgYghiiVcv7T8kcjunzc8x2J96SeLzv0kPFoXrHXrZ+SnrxD6oxBVqippomTvJGRzpVG54eWfKNiaBiaZt+bauK4ky40RQ1lqROX6llb1/Om5ehbmRjChNHUpybKSyTwhyWw2l3yytERpzSwClCbJFZ5riECnGg7bNgYqcWrcpx1bkFQFfMO3QGvSXBnjBwTjIFmk1Q6nCWmmaNRszq02OBrEZFnJ5mqDIC4oEoXrWuydzBhOEyxLUuY5eSFQmEQ8R4gFEdt3LGLbWgg10kLx4HBGu+ny2vMb/NPXdylKzfULXUazhDzPyB1FXhRVkohxFDYEToltS9oNlw93xgjgmQsdHMciigs6DZ9uy+WgHxrX75rLzuGUaZiz1HLpNn1aDTOkenA0W4g4WnWXzdUG/XGMZQl+55XzvH6jR1EoLmw0Of/InvDq8+v82dsHlKXm2nZnkcIBcPlc+zEzmEcJKUI8bujyKJ7sOzdqzkNC+WdEqTQHvTlJVrLW/fk6wv+i4XgY4jiSeVyQlcpct3yySOcUQrK4Dh+FMWQx/31KfnoSpTKfoy1NfyAvH/87ibkWmjWHeZQRpyWbq3UaNZejQUBRGTaFcY6omwG/JU2dLdBIy7B5gzjl/Xsx3aZHmpV864UNlls+AsH6cp17+xPu7Jk07KWWyzzMkEh8x8wCWnWPrdUGFzdaSGnMGP6ff/AhW2tNXn1unbdv9TkchDiWwLZNUsevf3MbKeC9eyMcW/KNZ815w7EtVjo+794dMA+zRV9ba3NdtBseYWwIEmFcfKzYXimT7hGnxWPf/5pnnIQtKbjxYEycFhSF5oP7QzZXG4vErdEsQWm9SO5wbEP4bNQc03M4wxmegvuHD03dtDZE2p+XiGNrrckszEizkmbdodVwF/2Mdt0lqYhCvmsTpwWHgxDfTdhebzGYxFUyt2IwNSlDV7c7rHY7zEKTknG6brx9q0+77rLSrRlSdWnSvdeW6kzDlP44qtKjzLni/oHpRV7e6pDnJTd2xmS5qZ0O+jGTIMNzzF4uhOT23oTXPzjh7v6EODNJvw3fZTKLmc0j+tMErQSWBNu2mEUmDaTu2yR5ThgXC8Fb+URy0aPCC6VO116NROLYljGwKQrSzDj6d5sOzbpbkUtNTRd9Ql1XKkMYs4RYzEjglHQm8F2LuutxNAwplaZeczi30qDd8Fju1PjOS+cYTGPmYU5ZalxHYDseeV5yNIiwLclzl5f44x/sGIf/QtFqethSotB87ZlV2g2P0TzlN145z9FozusfnjCYmLPMUtPn3FqLWZAyj0y/u9vwaNVrbK422FyuE0QZr39wjOtYvPrcxseeP5ZaPmtLNZy5EQ6eXz9z8/8qQEpz9hxOY/7Fm/tYUvDN59ZpV4StyTylP4lwHYur5zrsHM1xbYsgznj2QtekR4xjfNfiKDHzkLTIKTSGC+E71FyLUpv0m07TYx6mDGcpnmvhexaO49D0XfZ7IWE8wZYS35PGVO6RA1NZambzlHrNMTND28KzNP1ZTpKZdWO55ZLlJZZlZqBKmWtNSklRlEZcLwUOGsuSFKokL4xJXt0VJLl+vG47PdwJcCU8GTBTKtBaQQmDPF78TFaiLCEEoyAmuJVzMorpj0PCpKBRc6h5NqXWbC7X2V5rGQGUK6h5NnXPMi7taMI4I8kKap7FxY0lDvsh/XGItCSl9kFDnM4plZmF5GVpRPe+4T1sLNc4qdb+IM54506f/d6cb72waXga42gh4Iizgtc/OGGp7XN+vfWRZJajQcg8ymg33J+5KVR/HDOeJzRqDlurjY8Qc78KsC3J2lKN+4fThYAD4P7hlJeurrDS8RnOYkbThLsHEw77Ab2xSfcEWO3USNKck2GIUopJaGpwz7U56EUf97CfGR9Xa8zDnGbNJIkkiSStrNtKDaLU1H0b25IMxinthotrm/O/ZZlZvZCCVs0mSU06lOcYw7lSKc5vtGk3XZZbHisdn97YpBcvt32ipCBIcl66ukqWlbiuSaNy7KcLOJKs4I0bPZKs4JntDmUl2NpcbXwiKd6xLc6vN9nvBQhh6vMncTSMFgIOMIYUj/ZCB5NkIXxN0oIkK35mvJrhNGY4Tah5NttrzV8IIuoZwPfsz2TG0awZ893vvrGPFILfeHXrsXnz3cMJjiWJigLHlmyv17m5M0VpqNsWafZIQtwTF73S0Ki5zIIMyxZc22zw9r1J1XMoWWl7hEklPpaCICzY7/VQGl64tITn2kyCHISg07QJk4KsKExCnioZThOitEBK81gmfcSYK85jw2vUwqT8nF9rESclNc/ia9fW+Oc/3iPJSmqeoNsyXDshDY/IkhKE2ZBtSzKNCg56U3NtPKGscm1jEJGmJZ2Gy9/4ziX+4R/eIM1LvnZtlavbHf7JX+4B8Mqzq9w/njGeJ1hS0htFvHHrhHv7MzZX6vSG4SJ5QgNpXhghW/WY42lKVKWi3Nkfs9ypL9avm7tjmjUXha5uY2b0RSVS6I8iw73URniP1rxxs4/vWbx4eYVOy3DPTP8G8lyRV3XG4SDi8rkOYPb50UmyMBXzXYssy0nSAmlJJvOMRs1lGmTUfRuBqIT4GZe3jPHX3f0pSmnOrTYe+452W09w4Cqu1M9q7TubiXwxOLfapN1w2T2e4bs2f/OXLnzRT+lzI1IflTuM5Ve/Z2f/Amz/UfJFP4PPj9VujZrrMBUm9fXcyk82Ez4TcfyUcHvPpDEAzKKMbzy79tQ4Ua01Nx6MFo4qYZLz8tUV5CNOB0GcM5wl2LagqKKHXsXE0PquKWbCOGMeZ6A00yBjtVOjU3e4frlrxA9Rxju3h+RFSZblKARaaeMsVx0YTuPDao+I4k77DI4NTxjFIYVxGleYmOG0GjpleWnSJjxD8i51WUWoKRASVZakZXV7RzKcJGRZ/hi53Ig4jGv5j2708GyjcHVsa+HW16ybg1fNtVAIzi37hHGVUqA1zbrFcBpjWwLXMQKNixsthtOM4SQiTo07d1oYl7+VJZfttQbfeHaNwSTmD39wn7QiziZpSRynTELT7C1LjS1hfamG61h0W95CpTucRjRrNpYl2Vqp0/BdhtOYv/UrV/iNr5/DcZxFkobnWIuh62gaYVmCc6s1bu2MmQU5NV8TpQ+7O7pqcp/+v1IKKeUipnhjuW6ewyxmtRpMGVFQyvEw5O7+hKWWaxrESnM4CBffvW7LpShKRjMTobx7PF+4g3ruxzsVnD6HLyO+jM9tc6XBWkXaOV0TTj/PZy8sVQKAh070YJzkfddmc8W4Nv3SS5vcO5xy0AvMdZwrRDUoHUwilNKosnioeNbmevrGtWU+3JmSV0NirU1T8DTGOiv0wu3CsgVrnRppXhqScl5CqZFCU3clzYaPRDMOMopCEScZb906QWvBNEiIK6JwXhbYlknpWW3XGM5iHEdgC0FWlLi2pDc2KnDN06OGswLqnnHFiSrFt9aVk42Q+K4wrqClYhoIbMvi3KpLu+XxnRe2KEvFj270ALNWNuo2yrFQ2sSZa6GZhSlJbu5/qe3hOsYppDeO6LZ8VjqOiVOsRHazMGPneL5wMHQdi+W2j21LVro1vvfWAXGWEyclt3anXD3XpVV3jWCr+rwf/ewfhdaaeweThdr9xv0Ro7lJMzgeGtecF6+YInv3eEZ/HBvR2zzl5WurXzgx7QwGUZR/RDSlytPhnkm9KZKCrFAMJym//s0NHhzOiavh42rH59/43WfoNF3ipODW7oiiNHtsnJa4tiZTcO9wytZqk+ORGXocDCJqnoVEECUlrbqHJc217jgSz7YWxCKAB0dzdo/nJGlBmBZ0HbfayxVZXjCZJ1hWjTgtaDZcVFlyMsrIioIkUTiOrFykJZ26JMqMmFIi0AKubrf44fs9XMeiKBTH44iXrqyQl4pzK3VWOnVD2hCKMC5wbIFj2Wwu19haafLdtw5Aa5K8wLNtrm21Saro9RuHU4pSMw1SZlHOa8+vs3esuLrVZhb5lZumRV5qar5dieEUQVwwniW4lbADbda7WZjTrFkEUY5Sphl2PIpYbrtc2NhiNEsoK8fi6xeXuHswYTiJGM9j8sIMdcIk57Af0R9H7B7PybIcjaDpS6zK+fv8RpPhxIg0N5YbxKlZd374wYk5LwHiA8Evv7wNQFmWWJbZh5+2ZvQmEbf3J+gqLn4WptQ9x6SQlCVRkptYVd9BVW03IQTNmsPu8YzjoWncT4KUFy4vf8QV/GmPeYbPj91jQ+LutjzajS+/A8X/4F99kRsPRtzanfDv/yd/zv/2f/IrXNnqfNFP6wxn+EqiXXcfJmEJFq6THwcpoF5zuLLV5s7+hDgtmMxjolR9LMnn88J3jNtsoURFCDXkok5DMg8T2g0PaTjbtOsel7fbHyvgeLRG1Vo/Vn99+GC4SCE5Hpokr+sXl36i5+w6xkThtMbxHJOSd/lch/NrLZRSi1hzME7eji0XblRe5Wb5i4rTugA4qwu+YnBsC2lJZJHj2C5ZURJXRI28BFsKSvU0j0cAU8Mb1zxV1avCCBQAdLmoRyozvaoeMWSo0azEtiqxRw63D2Z4jnGhNWm1xmpWpcoYM1jmWlelqWcERvgQZ2qRRJjmis3VBkWhsITgw50xaI1lS4K44G98+wJRZvqHb9/qo1WJtCx2jmb8m7/7LElesnc44y/fO65eo6JU4LkCXaX2Fdo4wUohWO7UWKncZzUQxRmeY5PnJa9/eMK51Qaq1BwOQ6KkwHUkWV6avsFKw7wfpaZVd2n4NlIKvr87JowrV7xByD/4t18jTg0J8u3bfdpVlPpgktGqa5RSDKdJlXxnI6WkWXv8vHdlq8OF9SaWZWqQK9sd0ryk5j2+J1zYaPH3f/c6SqmPpDYtt326z29URJfPtp49re/89WfWPvGM/7Tf7Z3M6Y0e1g0vX105M3H5CWEJ6I1iLEs+7At+xtvqp/TMnsSnBbsUCnjK/ViWYLVTo9vy8FwLpYypSBBlLLV9huOYOCvxXYsoKXBsi4ubLXrjkOEkRiBJ04I4LhDSCFfnUc54lvDtFzdNkpfnEKU5rmthVw69V7ZbTOYZNc/Gdy1+65VtfuXrW5Sl5r/67i1u706I03xhXnU4CAiTAoGg3TCuz1e32syClG89v2EEKhXjuVSa8Txhc7lB3bOZhtlCWNGoOcyjnHOrDdZVjVbdXRCq4GESgRCCvd6ck2Fkem9ByktXVh4jIq90ajx3aYnjQcgsNcY6w2lMbxyxudLAkpKbO+NKPGtqwqvbHewzV8gzfAKeNM9o/hT7CJ82M/Eci288u0ZRKqSASZBxrUrNkFKYxByMWc3tvcliESuVSQE+6JuZRZoWWO0anmOzczTj0rk243lKUSiSrEQpTW8UczIMea4ilNnVgaLhG4f53jjiwfGctOrp2bZFnOQIWWe143NwMmcwTSiKEtsy56DltmsMS/YmzIKUtKofikLh2gopLQbThLwwwou8BJkX1DxJAaAFRWmM64pSgFCLc8/Tllgzz4Gm79BuOLiOzTxMSVO9WG5nYUGjbpIqbEey0qkRJxlh+tF7tKqa0fdspvN0QfqievxmzeHCeovBNGG545GkJY5l8dyFLvW6w/OXlpmEKT++0aMoCpo1h3GQsmRLDvshg0nM1e0u9/YMac1zJNoWLDVdcy7RelETntauf/KX+xwNwyqNQPCb31whyxUf3jfiOceWdNs+//IvX6IoDPn2//e9ewshUpTk/EvfufyR756ukqOvX3w4FzvrQf508XEz5c96u09CUSj+5Ed7ZFXNPZ6n/Gu/eY0ozri9Z/Y9IQR5XvK3fuUycZrjORal0ji2xesfHHJzZ8qDw6mpd7QRTJWq5HgUsdb1adVc2nUXIQQHfTPPVlrTrDssNR3irGTneFZdnAK0wvcdlA1lxcMqKzGF0uY67bZ9jgZzpBAIoSlLTX8c0Kj72JZEa4UUGse2sSxw7Ydn8rIskdJiFilOa7EoezhXPTWgE9W/bUua+WH1OKdzUHh4Znv07FYqyIoc25Yc9EOkkBz1A3KlyPOCQJtzRNN3+J/+d7/BPEr5g7/YYbl9OmdJGc0SojSvkns0nmtzNAjJqzfCCNRSY9QnNHGqTBp6UdKs2Xzz+vqi3hjPjenY27d6FAq8fsifhHv867/9DM2agxBmjjSaJSy3fE6GZj79aA+5N47YO5mjtGIyT3Fs+bHi878qpkHK/cMpYPoiAiNM/Kqi3XAf23wavtl/pRQ8f2mZd273sIRgPE8ZjmOQ0Gk4pFmOEDVuPBgxniULIXiWF08rA35qEEKT5SWNmo3vWcZcjIc1TFlqnJpACImUgrAyRfRsi6WmzbmVOtMoZypSY5ioYG2pztZqg5W2y3Se0W44/NJL5zjqBwRhTqvp4nsWl7fa9MfRYt9J0pIXrixXj/twvgbwZ28dcjw0ROX37g755rNrZs8N0wWf62lzeyEE51YbbFSmG08TRTz5mT3ZF/A9iyBSi2vMsa2fyfxtHmXc3Z+a+qW67y+TSdfZzPFnj9Pz9ouXOti2zaxK4Dm9HjzH4vxGiyTJ8H2X3aMpvispS4W0JJryE+//t145T384pdtp8L03DxZmE0UBw2lqkqiU2df/9N1Dmr65Fu7sj8kLTavuIIQgzhSthoufCxzHIYgL8nlOkRfMwwxbYsxfNRwNw0oMrhBCmqTdhsvzFzuVAWtEp2nOr1JKBpMIKSSuIxlOExAWrmP6q1rD3b0JSlX9yjB/7KyvNbxweZkwTmnWfd67M2R9uU5RlARRRhDlXNs219QozJjMU1Ql0HxwPKNQxgT3oB/g2IKlpofCzGO6TY+iVKhSgdC8PQjR1ZmpKBUrXdDK8CpX2jV8z6YoTR/z/HqDV66vGYMOS/Lh/dHCxGoapHz/vaNF3TAYx/zety4SRAk13+W7P97DsiVSmzXOd2T1WjWWlNzeGS/c75VSaF2J3S1Zpe9JlloeUgrevz8kq/oux8OQ3/v2BV59bv2p/conOXCfdu0/eXb964Sv8mueBilRkrO1UsNxHe4dzrl0rvtFP63PBTm9+ZGfvXrp3BfwTH66+BS//q8EnK/gmDOIMixLsLFcw5KS0Sxla+3zz1K+gi/9y4koeajSKgpVbUofJcIXpYnEzXJDnr+9N+HdOwNevLLCK8+Z5IUsLQiinMncqCSzR7LO17o17uyNmUVmmBglOVpp4iwniDPCJKMsNZc224RRxiwyBxAhjGu2rpoXaBPRa0tJu+kSJhGFOlXIflTAAaaxUCiQUpPlmlKZuM8qHZE40yb2bGxcqQXmoDaLjSuVEBDFBYe98CPNz1JDWZTsHM0AwYX1JqXSZLFxDHRsG8eWTGYpQ50agqrQtGrG/arZ8Pjas2u8dbNHkhbMw5x2w2W5ZRypo7RESoFlG1uNtFRGLbxpDny2bVVqXNO8UFpzY2dqon03mrQaLkmu6LQcntnukOQlFzdaCODG7pjjfsA4SLl3MEFgmpCuY9xBmnWXX/v61qJYmgYx//kf3+aoIrV86/l1ttebRHHO+lKNZy90mQYpd/enxGluEgw8yd29aRWZWuc7L21UaQxV0yh5+IFtrzVRWrPXmzENUqO6dy3WOv4idSTNSqZBxt7J3MQm1xyqNDQubLSe2lDZP5nzF+8ckZUlL15Z4dXnvjwxqZN5wnff2CeIcrbXm/zWK9tfKjHH6ZA2yQpu7Y5J0pLlts+18x2StOBPfrTHPMzYXKlzdavL/SMTWeu7kjRX3DucQuVgl2Y543mGZUlsSzCepQihqyaiQVqUOLYkyowQws5z0opHptSpC69x3ZOY67rINPv9CNc2h2mttHHLKDSJ0BCZiNMsK8hLmEWGECKqdItTqKp56jiSOM1Aa7SCWdXY3a8iECstycciLzTdlkdRiVYsaVT+WmiCMCerokKywjTmSuXSqZvoQCkEdc8mygrywsQlZ7lx98iKksN+gCUlthQkSjOcJoTJgDQribMSNUvYWmvw3MUlVjo+eanYWmsymET0xjHtuottGXJ2nBZ8/50j7u5PcW3jEgIQZTmjWcKbN3vkpWJjycTJnSrWn7u0hCUldw8mjGcp+705G8sNHFsyrWJnT/eQ6TxdvC/jWcK9gwmF0rQbLs+c756Rtb4ksC35UXeKJ/4fHqbh/Ombx5TKsCkc6S3SHn7tG1vc3BmDgJNRxM7JnFIp0kJUcd4ZQzdCqZLeOCaMM9IMbMs2YozCOGrPghTbknzrhXXeuTuh3XB59kLX7Jk1I1JaaXuUygwTGr7N0TBipVuj3XDRKPaP52Sl2RfzUFUpOwrfsYwYZW72es8pq4YInAzNHuO5Nq2GQ6EUnYZDnBV8eH9MXo5IsxzftTkcBKCN89PBQHI4jJFC4LgWQgi6TZfikYHw/klgnEuzgjgtieKCwTTm0rk2jZpDEGXEiaAsCnqTynnOhjDOTqUMZjikFL1xgtaKKNHkSuNIiWNZzKKUf/RHt9hYabC5Uqdec7h+cYlO02NzpcHt/Ql5Aa4tqXkWtmUxniX82VsHvHmrT5KVC8JXWSoubLaMG5jWJgoe4wBqhZJ6zSbJSiQsFsT/zz+7zZ2DCbYlefnaCt2Wz7mVxmMN17LQlEqZZA0JO0czPM/m0mYLx7FN/HxSkBeKixuPDy0edXLqj6JKCOzz7MUlmjWH+4dT+pMYz7a4fmnpbH35K+D23gQwKRdfBTi2xX/wP/5l/v3/5C94cDTjf/l/+B7/zt9+gb/z61d/oUnQZzjDzwK/8vVz/PD9Y+K04PrFh0kRT8PxMGTvZG4cZV3J+/eGHA0jkp+igAMgycGW2gxyC83pbnA4DCkLhePEtBo2q50al8+1+a1Xtj9yH6NZwr2DKUGUUWrN/sl84VD9W6+eZ7VbX4iSTzEJ0o/cz2eF79r82te3eOeOEYV8/Zm1RYqpbUt2joNFMuX1i0tc3GiRFYq94znthsMLV1Z+ocmSj/YAtDaOfmf79lcDSy2bewcT8kJh2zF/47WLWLYABE3PYhZ+fOj1wxRdhSVM4qWUAs/WTCNTcz/6rdcfuR0Vmcf0DQCKonjYC8xZkBYtQFiAEAsisuZhPXPac7Ek7B3PSXOF71rEaU6am79v1kw/r2Obvk0QZwuhVdny+OGHJySpSQaxbVEl85mmZc2zKUtNzbPwHJvxPMVzDIn8e28ekOcllzZbJJliPDcO04NJBBh3O9sSlQu/SfG8cq6N79sUpaLbrvHj94+ZRRm+Z3HQny/e97xUvHmrV5lnmASMwcQki5w6hueFou47uI7k/vEMz7b4zkubj31WO8ezh+m5600O+wFZYXoDl55w8DQE1qevV4Yo8tkHeqd951MEUc67dwYmhaDp8uyFpUWPKs1Lbu2MFyLzZ853F8PD+JE1xrj2/uwcQ3+RcTwM2T0JkAJcR1CWn0yMeBI/zbPAaRrEKYTQpFnBfs+4LTZrDvcPZszjDIEgyXKKEgplHCLDuCBKC8IoI80Vjm1EXxoj9NJaEKW5MTg4mbPUcnnrVp97+zPaDQ/LlliWpN30yAuTkjuapfzn//Q2f/yjPbZXmrz/YEQQZYa8iWISpFxYbzMLU2ZhRt03qZb/l//6fU5GIVsrDZo1F8sSnIwMYfCwH9KsOyY9Ny24dl6yvlRje61Jp+lx0A+wpeTCpqmxJ/OUuwcTeuMIKQRr3TpJXrB3PCcvDMHk6lb7I27yz17ocuPBmKxQFXHNOA2fX2/Sbjjs9x6+11GS/0KfSc7w08H1i0uEcc7JKGK16/NSRUT8q+KNmz0+uD/EtSx+7ZtbbH8MuVUpxZ+/fcBeL6DuO7x8ZcWkXlWJD2D2gkcXpjgtOLfSYKnlE8YZrbqLVfWp0qLkV14+R5zk3N6f4jgWSy2Xd+/2jaGJELzynEnAbjdcwihnEiQ4tkXds6u9ySfPS2ZRRsOzeefugONRwGiaYVkwnCXESY4tJPMkIwizhYADzFON05xCabLHnzoKiFKFlBDpgqI0AnWlzezk9PZPfa+0Me4ZBznTKpFYSvFY/7dQmnmQkaYljmPS02zbxi6Kx2YpYGajp/Ne25bI3IhINOa55LlJ8ohTI2jzPZMu8OB4jtKak2HEetfn9/98h6wssaVECsWBtLi9P+P6xSV+89XzfPfHO8xCMzO2pCBOC1oNj8Ek4mQUs9+P+Hf/3svVazQuYXmhcGyJ79hIWeJYgsEkpj+JKErFeJ5QKs1qp7Yg0oJJAf79P7vHZJ6ytlTj1evr7JzM0VpzcbPNxnL9bF38GeDB0YzeKGQwSWjULO4dmHn7ctvnd759YZGa8SiStODm7pg0L1lp+1zd7nwsmSzKioWAAwxR5YcfHPPObZOatdbxmYQZthR0mh5XtzokWYllCd6+0yeOcg6GoTkX2RKERqUwjwsQKVsrdVxX0m14OI7k7dt9euOYIMpQaCwBnmsb4qjQFNW5Jq/SYeQjCWZKmXTPsiyxHWnOQBJ0ASWacVAyCcLFa7GkICtzXMuiWXfwHIveJMISAilLk3zI40IMzzapZHle8QqoRF4CLNtC6fIzneWUNoae+ycBjZoxZTJJi6C0IooLao7NH7++Q5QUHA4Clls+nmsxDVKKUhMlJXmhKApI0wiNWb9XWl7FfTAzEVVq8tykdWst+fO3j0kzzYtXV7izP2EwiTnqB4xmKRvLJtUiivNFOsqvfWOLN2/2UFrz3IWu+V4kjxNKJvOU1z84Johz2nWX1Y73mUUcaV6ilf5MrvPAwgzhFFH6FHLLVwgrnRq//PImb97sV2InxV++d8S3X9zgu2/s8703DjgaBCR5SVwReVQ1P4t3xwyncSVYNPhZ0kI1ECYlUBLEOZYlsKt643Q/TLKCRmHTbFhM5gnTIKXU4EhjuJoWmjAys8JSmQSONM9561bPGKCVirXlGi9dWcF1LLyaRmnFzvF8kaq38cgZ5WgQ8F/+s9tEacGVrQ5///euA8Z89xRpVhKlhRFxBBk/fP8Yp3KKP02N6Y0j7h9M2e8HdBou5zdaPHvh6QY1S22fX/v6Frd2xzR8h2+9uPHY79e6Ne7uTylKk8r59u0+WuvHHu+ngSjOFwk4riOp+/aXRsTRG0XsHM8QQnB1u8PyWcrnzwRJVvDenQF7vTlCCK6d71AqxZ29CTXP5pkLbX74/jF5aRI3l5o2aVbNH/JP71P8N396j7hKy0A9nlL36M2TTNEfReznAWC4B55rPzSFrtnsnYSVeWXBUttlv2dMiiwBFzfraG36kO26i+UIToYxUpSsd2t8/50jJkGCbQmePb/E2lKNMM5p1Bz8yqS4VJq6Z7PcdjkemkWx3fQYzRKSyqS65lpYUlAow2GUEv6P/8VbpmfYcllfqjGaZSilqfkWZakXdYbnSnzXYhKkWFIigZs7Y5LMpJz82tfPoXzD6bl2vsv5tSb/8J/cJC9KXr62zFLLN8JDAStdnytbLd67O6Tpu/zb/9Kz/Nd/9oD+xPDGXn1uAyEEdlWgrHR8lNZVn1ZT9PWixzePUv7Fm/vsHs9o1V2++ewK43lCEOUst31efmaFwSQmyQuunmvTaXmVIETgOpLRPOZkHBux+MUOq90aUWLW6Mn8cVv8SZBWqZEfv9N8lrP+7vGMO/sT+uOYc6sNnru0zMbyTz/R/MuGUmlu742ZPcIb+7g0qS8rZmHGn765vzAm/uWXz/E7r3210jh+fNwEgsd+9vvf/zH/nV/71hfzhM6wwHr3y2+O+iSCKOegHxDGxsyo0/TYWvv893M24f0rQinjCO061mIQ2ag5uLYkTgvjhlx3cR2LslTMo4zRLGYwSbixM6JRkeffvzfkylabbssn16pyiZOAeKwAPhyESCkqMnWJqI5ISpnYK9sCjWDnZE6YFghh3CyUhrpjkRUl0hLoUtNsuEjMYUrDwo3vk7oKhsBp3L1VdVA5dR43IR8a29KGKH4qGuHUlccMi5+2lYvqNShhDhy9cYRlSTzXpll38F2b48HDBbRUMAuNe9YLV5a5tN6mP41MbBjGXXQ8T7l3NFsMeR8czRDakFB9x0JagmmQsdz26I1iOk2fJIvIq4QS2zbvRxAXdJouq2stVtoe0pJ85/o6u8czPnwwwrEk49yQv0sNeVFy92iCb1vUfZvL57r84L0jLmy0COKcf/wXDxjNEhzLYjxP2Tmes75UZ/VKjWYVMfz+PaNmPeiHpFlOXmpGs4TVTo3+OOKdOwPTcK2Utle22oznCd2mUcNe2myzczRbOHzHeUmuNOe7dWqew90DQ+h1bMmDoxl1z2FtqcYvf22Luv/0ZeGHH54sBEUf3Btytfq+fhnw5s0+QWQG7ge9gHuHU545/5M5vv60ceraJhAMpjFJlbQymiUszTw+fDBaOPW+d3fA/cMpV7Y62JbgoBdybq1Bw3eI04JGzWK5XafmOmgBrbrLPDJinEehSsASuLYZVB72Hm9clVWDUVWOlo/idGBxep2eXvNF5WwfxKYhuggOKT+6YGitafgODc+mVGaY8iQ+zf1DCLUQKlgCitJcW5NZ9thtT8UoSmvG85T5POGFq6t0Wy6jw5iaJ6thRExZaAqlWG77BHFBnJXYtjZE8VITRNnCsVdrOLfa4OJmm2mQItGkeYnrWNRrDi9dWWG57XNnf8I8MpGxSVYiLeNEtdSqEaclkyAlzxX9cUSr7uK7Jv3jsB/SqDkcDwKGs5S8LDnoz1ntmMHyfs8Mi4tSPdbIibOHg54oLhZkmkeRF2av8RzrqZHlZ/jsCOKcLC9pN9xPLTbfvnXysb8zzhGP/0yjK9GgoF5z8B2HewdT1ro1vv2ihyUEvVGErP7O3AIQkKVlNVixKgGexLUlaV6y1DKxml9/ZpVGzTQlbu4O2VhqotGsdmt0mh4132YwCrBtmzTPyQpFnBR4rsXXr63yh99/QPWw5vmeDigUi9js019HScFSyyOIC8DEHsdJjtIWl8+1zBDge/cI49zcVgiW22ZY6DoWWakpsxJLpiileP7yOnFqUrE81wiyljseN3cVSZJTKiNiRYBjS+ZhZohajqThCkYzbRK5LBMn2vQ1SS7wbItCmQGt5xjRTd01TshaKXJVkmY5k0Ayj4wQ62vPrLJzMOH27oS3b/XxHQvbEmSZotvwycqSrfUm+/2A3iTCtQSDScL6Uo3VpToH/aAioIBWmsEk5sp2m2bdotvwiGyzPl/YbPL99464tTdGCMFgHPPnbx/y2vMb5IVipeMvSFN138axLVo1wWE/oFW3qXtGgLHcqpEVJp2k5jtPJsKy3PbpjyLjkDpPubLlkxeKnaMZ22vNhaN3mpfsncx/Yvf0MzwUcTxbDbS+Cug0Pf53/7Nf4z/6R2/wow9P+L/+N+/z3/75ff7eb13jb3z74mceoJ3hDH/d4bs2v/nK+U/9u7wo2T2ZV+TYnJ3D8DEXuZ82CgVSa0MiVZAWqjJlUOgCisIiiAsub7YYzdKFS1eWl8yjjJs7Y2xLcjQMGc9SZmGKEIKaZ/PjGz3+5V++zIWNFnf2J6DN+bxdd0iq4einIUkLwiSnWXcX6ZVrS3V+79sXmcxTNHrhThREGSdVslReKHaOZ7x4ZYXnLi7x3F+TvWu57S/SYB1bPuYmfoYvB4Io43gUstKusfTIkPr/+70HxvlNGvOE9+71+PZLW9iWYBJln3CPjyPOoe4bh7MgeVhsfG6nTfGwJ/colATPMl1HwUPxB1RpntWQ0LI0hTJ/EyVGwHHaT4jTgiQpiLNikQZ8WlcZMrg52/u2Sd7JC4VEsLTkGxffQtFuuLR8l3FoaoU7+2OWql7UJDDOd65req5Fadz5wBCoWjXXpJUIeOGqqeGV1nx4f8jxKCSIM3zPZhakyMpEYThJ6I9C4w5Yc+g0PRzbQghAaPaOQwSmzgjjgmtbXQDevz/k2Wr9CeL8sTXqRx+cYFmSNCvI8pJ6zWYe5rTqziK59RR5UTILTUrBTyKacGxJu+Eu+oVFqRbkplmQ0a+SAoCFGA9gPEvpT2IcS2LbkuWOv6j7bFt+JL3vDJ+OLC/ZPZ6bAb9nEQbZR+qznye00rgVsUoIUEoYkoFjkxUF/XGB70nKEgoTP23mCiVIy9T+o8q8QWsqh0abTCrKvKDUmrIo0Qo6dYf37g4RQrDU8ZmHOZ2my1bT48JagyQxru2Hg4BOwzPEnqMZ22sNpoE2qaFNl1//+jlu702NO3zDBQT3DqZM5gmjacJsnrKx0uDla6u8c3vAKef0zv6UK+faXNxsGcfR9RYH/YAsL3lmu7tw/o+SnHfu9FFKM5wYUkKr7rJ3Ml+IoaI4X/TXT3EyipiHGS9dNSZOUZKz1PZ55bl1zq02zLrmWYse8BlR6QyfFa/8FU2zylIxDTPc6mw4mSd8cG8IGNOX1z84Zvu3nnnqbXeO59w7MAm4aVZwY2fIv/TLlxciajBu07YtKarrY7nt02qYtPtZYJNmJVlekqgCy5L0JzEvXl3lG8+u8c7dAR/cG5EXJcvtGvu9OVtrTX7zm1vYts374wHTeYLSepEQdDIMTdptzeWHHxxzbrWJEBZplmPbNvPQJOFoVRCn2SIp/FGYvmX+1JGnpnIqr84o8vRM9Mkj0sdgbm8E809iHuU0fA1IJkGOQGNLUZGnq3lo9VgC04ur+w6OLY0DMSahzXIsstykGeelmb3YtnEZtiwjAH7jZo+8LM15qDqYuZZZ++8fTWnWXSxLGqFIRVizbcEsTJmHGa2KtP5H39/hG8+sc227zckoemhUV7NZW+nw528fmfcKsfi9SYyOqmQCsxAXhXHgB+iPY/7FW/tc3GhX37UZKx3/TMTxU8YszOiNIoKqp717nDENM3zXGCS+dbP31D7F7sl8wW0YThOW2/5jtQsYp93T+n6545vzANBquNzaGaMrwYRJABD41bk+iM3Z51SIURQlRWncuLsthyBKEaI0oqIkJ05zOi2zrtR9mzDKAGXE59rUJ0WZIYV43IiyMiisezZpZUK3uCKFQGISuPNCUTxydT961Z5yGFp1lyjLmYYJWkGu9aLAevIqzwtNvWbmsY/WUkKCIzXYkH2KpkAAvi0p9enMz4isXMsyxpsKirJEodk7npFmhj9yMo6q+UONGzsTQ+jURohfovFsCykkCkGr4VKUyohwHSM4c2wLKQV5WXJ7b0KUFrTqLoNJgm1bbK7WCSNjlrm11licnS6f67C91uK9uwNjWJoVIGAwiVjtmrrmaBAwCzLyUjFRKcejmKufYV5/ODAmXgCbK3UubrY/5Ramly1lsJiTftKZK4xz0s846/si8cz5JW4+GLPSqZHlips7YzSwdxIwnMXkpSHvam3EULYlidOcKMk+8n37eZUehTL9Ac3DDXTBMVCK0SQmSkvjSg+UFQE5y0oj9JbCpGOVJr0jzRRRxXEaTUJe/yDnt1+9gDVL+PDBiOW2jxSCu4dTtDCmtS9eXeFPXt9lVM3bb++Nee/OgJefWeXCetMY5wHLHX8haJvME7bWmmht1kJbSoSEB4dTBpOYODEzylbdfayOfhJXtjofm2h+2A8XhOTbuxMubrZwbIvdk/nCrLPb9P7KTuyFemgil+Vqsa5/0ShKk1KANueX+4fTs9oI0y/MCkWn4X7m1NVPQ1YUHA5DIzbUmrt7EyPiw8zw/+Ef3SSvEm3zQjGaZR/bD3wakuxUOPbpa8tgHCGrNByBpu6b5E8hLeK0NOuXY5KrDisBBxjK0WReUKs5VcKDwhbOIkV3EmaM5zFltVacTCJeub6O5xgB5tXtDu/dHVAUikbHplV3CeMSjUKX5aJW0ECUlriONPMGIEwLtDIczMk8M6JHpVGlQgiHstSEyel7YCGFWPR30lKRpDkK0wfaP5nzd37jYc31vbf22V43QvrRNMH3LOqFjRSClu/SrHn88stb5m/fPGSp6eE6Fg3P5oP7Iy6sN5lHOVtrJhnolOzvOxZHg5DRzMxoLCE4GpmErDApuHswZ6VTo1X3qPsOSsFqt1Z9XzQr3drivpKsIIxK6p6DFIKd4znXL62S5iW+Z/H88jIfPBgBpke4tdpkFhpT2k7FT3wUpyY4n8RVCuOc42HEcZXqdTKK8D37c9cJ88iY7fw0r6efNfrjiMNewPEoYrll+l2XPsO558uEGztDBhNzLhEC3qv6Dl8lXFxv8/btx0Ucm+4X2Lg9wwL92WefkX1ZUGq14PZnWbnYNz8vfuGZOGma8g/+wT/g7t27+L7P6uoq/+F/+B9y/vynkyo+DVprbu2OmYUZWhtngHOrDVY6NeZRzs2dkRlqWCbm8N6hca3sj2NqvhEnCB6NiDL361qSTtMljHND0qs/jFK+sz/mxoMx/XHEcJaw3PKqxzCOWGVFwF5u+1WjxDQChaDatErKwhxG5oHZ0ATmUCTRnzrsrc59pJm5nazuNyseOoWeHoCs6rVbUiLE4w44T+J0FnxqSFYoQ1hcX25wZavN+nKd/+KPbxklbNUzOd2Dp/OE3781JExz49bVcJDSJkpTDvvGIeP5y8tVIyjDCcyBQWkjXGk3XHzXouZd4K1bfW7vGUdEx7GxBCy1XZo1F621ETz4LqDZOw44GMwZjGOUNmkBnm2EN3laECclWaEYTGNKremNIh4czTgZxUyDlE7To9PwWOvW+fVXtigKzd7J3Ljk3R2Q5cYNYBYap6FZlNFpeKZhhokxbtVM0sh+L8CxLZba3sINoN1wubbdIYhz6r7DarfG85eWGM4SwiSn7tkIIWjUHC5uNLm63f1YAQfweMYrfKGDxyehn/xWfYme2519k7QAZmDw6BBeG80SAPu9Ob1xjO9azMKMuEqUsW3BxY0WRakYjhNGs5ggznFtizg1hOsnYQmoeZLeOMZz5FPdR8pSLT7DR+MCTz/mR99CVbnqZbkyrpjikycZeak5GcUst1x8zzbin/IzVICPIE40ll3gSMEgyCqR2NOhgDDJyYuSP/zLXaKsZK8XEMbGUabhu6wv14gS4xR0bqVBnBVESUG9cq46TVOq+TbnVpoL5/v7h1PjnHg8x7UtQHBxs8X6Up18kZKk2VproZRmY6XGq89tcHGzzZ++ecCNndHiPX7t+Q2q9Eg0xv3jhx/2KApDqthYqtNt+mwu1Ti/3uDt20M6DZdxkLKVl3iOZQjaa4q8VDR95yPFSF4o3r83IMvNsObadudnFlX8i47eOOLB4QwAz7V46eonuzl/klHFqYDDNCK1IU1gGvq+awrYIM35s7cPmIYZ33hmlT9+fYcHh3OUMu4Udd8mrJKtxmGGBLptl7R6YLdaC+q+XUWSlkzCgJOhIeznRY/vvLTJMxeWeO7SEqUq+eEHx0RxQl6UNOs551YazKOU+0dzkqSo3DSfeDECnrwaBYpW02UcJPTGcZUGZKFKzWE/5J/9cJedoznSEmS5MtHqmGaPEGIxsIwT81pmUcq5lQaNmoNtSU6GEcNJiiUknZaHFALPM059W6sNOk2XKClxLUGc5ggZm3OPBGVLLmy0mcclUkqy3JwLfNei4Zv3vuaZZonlCI4HIWkWU2roT2LCysGm2/QYzGIzRHEsPFfy0rVl6r7DxnKD3iiuCKvmPdHaDDSVMs2PeZTTn8QMpgnDWcxzF5d59bk18uoGdc9h93i2OB/M44x8rvjwgRH8vnxlBare5lLb55XrawynMXf2x0RJSZSY4dnqkocQLeo1l9VOjU7zcbKVJY3DcVEqNHpBctFaf2QvVV+mjf4riNt7ZjDwVRJxgDk//m/+R9/hn76+y//zH3/IySji//xfvct/9oc3+Nu/epl/7Tev0Wl6n35HZzjDGT4Vp7XA0SDgxu6E3siIe7X66aZwPAqlIc0f7u+nj6WlceRWpeKduwNu7085v97k68+ucv9wRlEo7h9OjXNvtW+fko3QD4c922tN/uXvXGL3ZMZ0njELTW37/OXlTyQAz6OMGw8e9k9evLKySJW4d2CGp8Ci3n3y/fnruGWdW21Q84yTWbflnaUmfckwmSf84Q92KAqT5vDbr11YOF+rUlXu9eYamoQ579w2iTNR8vnq5qhyvnwaTCrvR1o5T/27j1xTmLJfLX73xPlfQFY18FxhAfqx/sbpX2ttSER5qbAswXrXJFQaAZkhGmkNjmtS5U6G/3/2/jTG1i2978N+a73znoeahzOfe+7ct+duNtk0RUqiSFvxEES2k8hwEMAfnATI98CAESAQECRAEgSQA8gUYRmwTcOTTNOSRQ0WxW6STXbfeTjzUHPVnvc7v2vlw3r3PlVnPuee23fo8xfE26eqdu1de7/vWs96nv8Q4jqS0ytNPrp5VCYAJ7x/84gsK4nnWtGumzOukJJG3TOkD9emGtgIKVGFpl33+dVvrDGNC7pNk6I5I258eP2IW7tjQ9YS4Fg2snS1cyzJX3x8YAagUvDymTaBawbGWmkOehFpZpz3jp8P1TGRi75nUdo+mswJ4o4tuHZnME8y+c5rK3PhdJoVvHftaE6+vLjRuo9E9yR46VSbo6FJDxlN0/kaei9O9H205vKtwXwt2Viqcel0myQtaNbNAPkFng4aI5TcPYpMfzfK7zN3+HkiV+BI099I0gKlNYNphiXyeT9jGhuB52wBkeV/fdcCIRhPM0NyluDYNi+faROnOTe2x+RFQaGgUnE4HMYMp4Zk6VqS5W7Aq2e7/ODNVcKk4JWzXT640aM/TogTYzBQFIrhOGFjqYZrS752cYHtwwjLslAq52AQY1uS/XImkpYv2rIki62Aa1tD80cIs8AWpSux1pqffLjLRzfuErf+yndOMw5TLt8ZsLU/ISsTSG3LPLYWOFQChzRT1ALnhCPihzeO+PMP9wGzDnSaPoFv0655WOU6YklTy/SGsTF6eUFUeoGfAwql+eBGb56kZEiCJ+vDR9UE/VHM/iAizxWTMCPNFO9dPeLVs535PMOxLV4/12UwTvBKZ0EwdenMPXX7YMIkykoTowlZrthYqjGa3DUk2z6YcDCUFEpza2eI7zvmXHQ0ZXO5xunVBkstn7//z6+T5injUsA9c4odhwmOJRlHGVlWnBBCiGMBVrYUZNmjZ57H35KZk79+AnLavTi+vs9qq0LDJM4ZndiGNa4tqfiyFG4oslzPCWRZrgh8idYC25JMw5Q4LojjkLXFKmiJZQtW2hXCJGM0SVDapLMpZRLRlS4T2F2J79lI4H/4F9cZTrK5SMaSklPLDaQQbB+G+NKQvWbktL/xl18uTXRyLp3q4Pmmf1qv2IxDiWOZBILZ+2RLwQ/eWiOKc3zXZu9oytXZusw95ED9i3l++6wxqz/ndfg9379XkPjQ33PPv026hxEnt+oev/Gd01y908exJNXA4Q//7DbGWtIQ9rLEpD3kShOkxhBtlnIzqzcsKWlWXTxHGq7CNCFEcDhM6I0Moa/QmsEkLmcJ5nFSC4Qwa87hMCSMFJYUKDRCM/9ZASBKsniu2DqYGtGTMGkeDxJqmTVEMJxGZMWTEVoVEMb6/rVVgxYCy7KwVfHQ+k8ClcBCIUjSwgi0pODlsx1sKXnnSo9cKY6GCVE5XxAYQYpjS7LCQ2hNVpjEDylNDaI06DItrVpxWekEbB1MkULQanhkuUcYZSAF0ygHHbHcPSksf+PcIofDmFfOtO9LIHBsyWvnumwfTPnnP7uDEIJPbvX53usrXNhoI4ScP78Gc7B8DLTWbO3fJdHtHoWsLdYeS+IMPJvXz3UZTo2T9cP6ToeDaF4reo7Fa+e/2Mmtg4kR2IN5vzfjGvt9Q3JFaGql47zrWExCk573jDyx54YkV+bscKwnUChDwpPcf89FOmNgWyZVxoFJVKBsY9BqREkKVcAwL5jGMX/4k9s4FgynGdMyDSBOi/lsb7EdcDCI2DkyCTu2ZVICAb796goLrYAoyTmz2iRKSpH2sde7ezglzxRSCnZ70/n1MZuZPeus7Pjj1LH9b+dwSp4rbEue4PY8K2aGttMox3PkF2t+c+yte7H/G0OAmzuGexB4Nq+e7TwX4rmUZn6eJLmZv9/z/TjKT9QISpvnL5QmcC1640cTZu/d62a3jxD3f655AUKZTX8qNNZYMo1zhCyQwsWxBJky9eO9TcmsKMhD05C0pMDzNFFq0kGdMsVYl3WHUGb/KAqFUoosKzjoR+SF6QWoQqP0bA5y/2aclel3AEVe/iygc02SS2NmozRxWuA5cn7el8KImYsyylgK0wdJ0wLXsqgEJ/cilRcMp6YOr3oOjYrNNMqQUlANTnLzJqWwQWnKRFd7LsqveDZ/7QdnaNc9CmX6nmlR8N7VIzzXIk4yfnb5yKw7wrxfFzZahHFOq+aRZsUJgf4Pv7bOXi8qzbEjfvTuztzMIkoLbu6OmEYZPdfi0nc7LC9UGZQ9m9E0ZefQrLe1isPLpztzIUeWKz64djTnr5xbb87FI8cx750e/89TnhN2Dqdzs+PAt3n1bHduOvRFxkE/4h/92W3ywuydvm9/6UQc43FEkt/98Ib3pLV8GSAecK3MTAle4PNF8fCg+i8sPMfMt8LSNPlZa7GvvIgD4G/8jb/BD3/4Q4QQ/L2/9/f4D/6D/4D/+D/+jz/1703SYt54nDnELZUOakfDaL7B9EcxP353mzRX86QEpeC1M10+vm0U9O26y1HpZtWq+XQaPpY07merCxWSrGD7YMLtvTHTKGUaZUYBWmhsx7gySCHmDmphktNpeBwNE9N4xDjpl3MM0Mwjv2bL0NPOkTQzt5gHPzKbWXjrvFT9PtnvFEC34bO2VOfW7oiZc/j59aY5vCmzmeW55qAf4diCW/sj83UpmUTQqBpnsbwwBWlvHOM4FqsLbS7f7s9fTzVw2D0KEcK4AQohWO5W2DmYgFJUax7/3r/6Bv/oT29zc2/MeJpSCxw+vNljOs0YhyaOueo7FEWKJcGXFo2azyjM8By7bCpV2D2acjCIWGgG7PZCskLRrHqcX29wc3fM4SBi93DK+fUWUppYYq3NQLnbqlAoTZoXeK7F5lKtfExIlBQ4tsRzLLYOjOPE2mKNl890uL03ZjhJkVJQ8Wyubg0RQKvmmcF5GVv9sBjt4/j6y0v8+L0dikJzYfPZBsmfFd68sMDhMCZNCxbbAWdWm5/3SwJM03Im4ABz2LAsQVFoGjUXKUxxnmQ5g3FCveLSanhs7U9o1z3WFqtsHUz4h396i0mYEiXmvleY5oQUAo3CsQVFevcGczxJ1bM5GETkyjQ67nttx27bR92aAu42WLTGcyVxmTrzOPTGaenA9PiffdATT0PjtP+oIffsbKeUcXg6Gsb84z+7RasZ0Kp7TKOMYZSy6Pq4tkWc5ByNYhpVh/MbLbTWXL0zJCoFNp5ts9QO2ChdhK9vj8gLxe3SobLb9EGb9aJWcbi2PaLqm/v89fMLbCzV54Td3d60FOOZholl3x3mJlnBTz/eY/dwaggwmaIoFK2Gh+dZgMf6YpWjYcyV230mYcLmcoOVbkCYmHj1dsO7j6A9miZGwIF5Yw760Wci4oiTnO3yta8t1uZuyV8lzBIJwOz342n6yHWvUXM4Gj66ohSYaMz9o2hOGHIdyd7hiFzBnf2REQg4ku39CVlRJm5pQIuTwishQAs6dd+I80JTG7x/LUNrk5wzDjOk0ERJTpYp3r9uDs2WlBRKEUW5OVQLGE8zdntTwijjcBCjMAKu468djDDCmuWllkhzuHZnSBjljMbGbcJzJAKBoECjS1dOjVa6FGyYeqXI7w5XVEn+2juckqUK37Op+g4azSTKqFaMy17gOXRLtx1LCn7j26ewpMX/4z/9CYNJRj1wmKkTmhWXJDcDiWmUU2jjxmDbFvWKy0IrIE0LkkyZ2k0ZIqvWkOaK/X5IlhdMEkNWyQuNJRXVqkvFd7AF/NE7dxiOEuPGW2gcS1KvOEzijLOrDdqNgP1+xNHQRLxuH0xI0gLPlTSqPmlWsLYgWV+scn0nIE7yuRPJfj+knXt8cOOIUysN1haqLLYCAs/BsVPqFY8oySnK5KJuM0AgGU4SwiTj1bOdE9fg4SCi4jvzAfw0Mo6hm8t1GlWXVt1jME6wLcnG0hcjbvnLiDDOuFMOnj5tA/7zgJSCv/Ld0/zwrXX+8M9u8d/+z9fYOZrye394mb//z6/xW790ln/jL12kUX3hyPwCL/Bp4DoWy50K/+OPrrNzFGJLQD+AAPC8oe//n1opwijHdxyyTBF4MBgn3NgZURTGdGKxXWEUpiy2A9oNj9v7E2Nk4Nl8/dLdXNgZiWjmHqu1cfQ8PkxXSrNzNCWKczpNn+EkuZviWaZQri/WUGWK1Qz9UWLc9Ssu3abP0TDGsgSby0+/ZxWF4k5JLFvuVD5zl/nhJOGgH2HbpimTK81Kp/KpEjRa9WdrBPZGxsG84hsjkk/r+PcC92MmfgJzD1zfGs77Lr/9y+f4f//nP6MoTEKc79j0J/Fz/xw0Tzb4Or7mHB/CKm0MXB6EQt09H8RFQR6Y86xjWyfmr5Y0Iq04yWlUXFp1l5u7Jmb9G5cW6I3S0hzBiL1938aWkvevH2HZEqk146hAYAha0hJlkmZBnitOrdTxPYs7+xNqgcubF7vc3puAhjNrdQ6HMVduD1ls+yileO96D1VohuOUMM6MuEQKOs3AEJkELLV9bEvMjSQOBhGdRmB6rrlx4cwKTeDZrC9X0cqIz964uMBPPtxlPM04u97A9yyubQ3xHAtHSqQwaahhUjAKM1plI//qneFcxDEYJ/PrBm2e+2FnUJPeO0FrWFuonkg8ktKQWMA4JI/DlCQtqAYOi8cGp+uLNcZTY/Dj2pLs2BnvoB+x9gS9whd4ODzHolXz+OBaj93DkC/CUpvlGiWLuRgTdfLcP/u6axsDipldfJIVIASW0WzNEzq1MOTAWmBzOMyxpEQpIwiqVSyG0xwpNJ5jU5wuiLPC9LyHMYFn0226vH9tiirvxeEko+K7fP2lRbLcJBv7rs00Nj34btPHEoLx1PS6a75Dlivu7Jne3DBMSLKcUyt1FlrGZGtzuc4/+JOb5GVCen8cs3dxoSQtmtSvvd4UxxY0ax7XtodM43Ldqvp0W74hl5S4dscQAPNCsbszpdvMuHiqjWtbHPQjltqVec9sHCa4tkk1Xl+s3edO+QIv8DwxCdN5rw2MEHqpXaFZd+mPEhxb8o1jNfu9cD2TGLt1OEEI44KulOZoGJ8wpXIdi6XOSbJvf5zMB9T9cUJvlDCcGNKxIwVbB2ZPcx1JlinSQiEL09PbOgppVExi/HBi7mHbtuiPYvJCzXvrUopSqKCIk4KYwgjSjv8NtkmYmM0y0nsjyB+D2YzBsnjgPOVpfs8MDzrb5blimCtci7nYTJVD2yjJEcKmXrWZhiblKEmM0/32wZRWzST1DiYRUWJWcN+1WFuomhpIaBxL4DqCNCuwhOD0Us04EpdGNp5rUwscLmy0DDHseo9pkuNYgtfPddg+mDAOUzaWG0zCFMeRnFltkKQFy52qMR7QsN6tsLRgXMk3l2ucPTaTW2gH7PRCwsgkMb310hK7R1O0NkLRFwL0549G1Z2nztUrDqvdKle2hji2wHMt3rp48v7XWrNzOGUcpfz4vW3STPHK2Q7femX5xM8d9I2AI82L0nhBc3atOScBnllt8OGNI2N06ViMJmYPrfgOG2eagOTcepNPbg1oBA7jKGOh5bPUqfC9N5f43f/+I3qjhMA3SRmFKhiGMShDAj1+HsmVxhEmtWZzqcHW/sSQuRH4vjDmkxJ0gRF0YkiZADotkBIqgWQSPviMkyv91ILbB93jUgpjoKQf7W3nOgLPsZlGCXlhBGQ5mut3xpzbqM/5AblSDMeKNC1oNyv4Hri2hWNJLt/qAQLPMbWbQCO1wLUFvmez1KnQbZpZwsc3+2SZYqkT4C3Vubo1IEoysqJg53DKH729hSo0Fzdb+J7N995YYW3h5HlgHKbs9UKSNGfrYMIoNOmCskxLu7DRZqkdUAtsohgQgiQuOBxEDyRwziDKs9JeLwQN3ab/xOdj37Mfm/56YtaXGW7PFzkNYLVbZftwilLmfj4cxhz2QwqtmIYphWuzuVxj5ygsEzi+GMz4h/UzH3QbKA2TaUJeFCaRohSOB77D0SCap1XNyOiDsmfiORZ5ZrgXnmfqb8sSfHxzwEKrwtU7Q0NK9xyaNZebOyOu3OkTpwWLnQpXbvfptgJWu1Usaa7b3iihP47xXIt23cd3bWOqF2e0az7VwJnzv54GvZFJGOuNYlp1j9fPd0kzI7qcpajA3V7npxEWdRo+C80A105xbGmEn18AHA4iikIxDjNaDe9LR1J+GOI0Z/vg2TgS++W+Cia9dhJlz0V006r5fOOlJX787g5CwG9+Z5O3rxxy+dYAz7UIXEmc3y1wLWlq0kJrpLBxpUmXexI4srSTUWbPuzdVvDjGCyxiBcQkiUZIqLjGfDZJFbYFFRsmx6kVSpl+nIZxlJHm5voRAhaaxph5PM3QlhEmeo7NYtvsAX/y/h4gkMIk08zqW6UFjmUBd89KGtPLu8/dVhtBjMTU4EoZorcQYm4Ii1LomZhEQ5rlBL5DqHIcW/O9N1a5sTNkPM04s2Y4Au9cO0IpWFuo4DmWMZkVpq+QFyZ1qRLYvH62w/bhdJ5s3hvd5fmESc7N3bExq1YaSwimcU6r7plUpjjFkoI8VUjLrJe65DTlhaJWcUqequFetho+rXIvvL1nhJCDSYKUxkhaYAwuwPS1f/mt9Xlv+7hYexJmxGk+PzOOpslcwAFmD35QDVCruCy2AzMzGUQstoKnPifsHU3Z74fkhZrzwr4Mc+udwwmzi04I2D8KH/2ALyDC9J77/ikNnb8ImIzvP/QP7S/G/vmLjifhon7RsNAKePuTfW7vTWjVXb79yrMl7X7lRRye5/Grv/qr839/7Wtf43d/93ef+fdprQlDs4jmhSLL0nlMY+BZ8++pIiVJEsI4Y/swpNPw6Y1isiyjU3eIkpyldsDXL55jMI7pTzJ2DobsHA7ZXKry2pmWabJJQTOQvPPJDnFSMJokxEmObQywCFxJoSTdhsvWgcBxLKZhRhhlrHQrNKoWge8yGKcMxilxmmNrSI6tR7Pr/0Hue4/DLPrwUXhQ02M+GH7Acwph1J1Xbw/QKHYPp/zBH1/n7Fqd0ytV4qTgaBRjOZrxNOWWysuEAJDSJJFIOVPeGtVsM7A5HKUcKoXv2Kx1fZLckN+v3OohLcEkzNjvTXEcSbPm8M1LK7y0WSPLM1xHcHqpyuU7GdM4ozeMyuYQoDXLLY8zyxW+dnHBEOdzOBrFtBs+r5xuUau67B2O2C8dAC6sVXnrwiJhWrB1MOQvPjmk4tlM45wwSkjygsCVuI5FkhWcXfZ5ebPGQjvgsB+htSKOUwplEj7qVZcoMf/u1C0O+2NeO9vh176+zGCScm17RH805ebumJrvsNgOCDybl04ZJ4vZdfsoLLccfvt7G+RK4bv2Ez3m54WKC7/57TXSXFHxbdI0Jv0CJCxJIeaFMZjh+ZsXFimUJssL3r92hNbw2rkuqmwqAGiladc8bu2PSfOCw35Empv0BZTGsmTpum9U5QKJa5ubOvAdAtfiYGgO/bN6ST6BA+eDYElDxnZdG9sS2NLFsTUHgxiEJMnupvs8CMqI1HGsRycV3ItCw5PU6I5tfH6KwjRYJYpJnOPYMc16xTiSeBZCCKNqF4LVTgXPs81nUzqjdhqeEdHUfd4432UcZkwjOOpHHA4jDgaROayUkdFCmEPJpVNtpIS3Li6iEfODxZ39MQKo+ja6fNzXX1qi4tt8cqvPzsGUj270CeMMSxpXLtcxEapZrljprHBta8hokrLXNzHYljTpK19/aYlC6QceYu5tFDwoqeXTQmvNRzd7c7HIJMx448LCc3+ezxueazGNygO5ePx76cjHX7C2bSEQOI6g5tuMwoJCaUbTgjQr8DyLLEtYbk8pSncIISQIxWLbN3Gc2rjISCn5rV86wz/6s1vEmc3uYcI4zE0kdmEcrBbbFXYOFb5rMZykhHHOx7f6pGnB+VNtcq0ILJu8EGgBRVFwc29Mo+KSlTWIaVbmNGpOeR3K+5xlNSYN7PhXk0zN1x3jiqfxbEmmdZnAoUvXXYtCa/JC45bJXo5l0RvHyIkhZR4O4nl8dL3i0GkETOKcV8+1qfkuUVqwczgk8G1WnCqOVeebLy+T5QXvXDlkHCbsH2vU51nMt19boTfyeOVUix+/t8twaiK+NeBagkRpLGnW8UIZsQnlWrbU8olSze7RlA+u9fA8ay6wbdU8pCV549wiZzbqXLk9Is1zosS4Ah2OE+K0oHYUsn044dLpNiAYThLevLDIr35jgzPLdf7Tf/AhO0cheW5IruNpwtb+BK011cDBsSUr3Sqnlms4tmVSjzKFW0ahn1tvIaWpRY6TrzzXBswGudKtcmGzNRcYg3HtzfKSJPeCYPLM+LB0k1/qVJ6ZYPtFgO/Z/PYvn+M3f+ksf/LeDr/3h59w5c6Q/+qfXuF/+tOb/M3fepW//N3TXwpnkxd4gS8q9vohcZqjCsUgyhFC4NiaNHsyB/1nwfEz+Myttl5xqPoOCriyNeDVs11adY9a4DIYG1F6q+ax2m2zulgrk0R1ufcY8wkwTfmbOyOiOGe/FyKFSb68t0bdOpjM3Zp645hO/eTwfPbzUgpcR87rTtuS8zXn/EaLUyvPvmdd3x7RGxmHoME44c0LC5+Z03yU5Hxyq4/WsH04wbIky+3KZ/68D8I4TLlyewBAb2SuhScxdXiBp0O9ejIq/nh0fJIqTq9USXKQOmd/kD4f173ZbVC64Imy6fY064hjU6bpQpg8evhy/Ne2ag4ISZHniJneu3zu/Z6pwwfjBNuWnFtrIiUMJxmnVhrkhWISplzdGs2JOnGa4yhzX+RFgW1JbGmhtcYSkn/9184Txzm9ScKffLCH1kYode3OkG+/torWioO+cZETQnBzd8TOwQS3JJtt7Y9Iy2ZJXigG45h2zaxD/XHKq2cXSpdMbcijlqmfJYJLp9vkSuPaFj94c42VbhUpJT/9aI/L5b11a2/M5lKN5XYFKQXDaWrIsNr8bcdXrOOue/eeOR91Bv34Zn9u5DOaJnzt4uIDiU6eY/HmhQXyUmRzHIFn87WLixTKkMzevnwwF/58Fr2EX0SsLtTQwgj9f14iDgF4jnFIjx/AwnjcXFUIaFY9eqMItEBh9lnPkYSxcdae3R+Xb/bpNqskmTlLKzSjMC0duE2MvFKKVl3yF58csnMUsdqtGjHhKKYoDInh1s4YKSVCmsf1xwluSeJu1nwjDi0UcVrgutIk09qi9N8Ex7FxnYKXNtocjRLOrTWwSofwZs2jFjjc3h0ZR04huLM3YaUkHjeqLrXA4eKpFrf3x7xz+YAwyemPYhbbGY4jeffqId95bQXHNo7i/XHC0TAizQqyXLG1P+HsWhPPteY9s/E05ebeGM+2OL3aQGn9lSEtvcAXE55jzZ1w49SYGNmWZLld5ZVTbU6ttXAf0Wyv+S5fv7TE2lKV/jCm0wjmv/dJnnuGiu8QeBZprihyxTRTtBu+ccGXEseX6DgzbrGpwrYEljCi73GYESU5H1wzDrJJ6bobxhmdpo+Ugu19Q3gp9P0JG1KCbxmX3DgpHpJV9mg4FjyOCzt7Gx+VHP4ozF53VgDqbkrizOTGOPIb4nZRlAI7ZYTyh6MIexLTrvusdqsUWvPd15Z5+8oRVd+mN0rxXckkyshcRbfh45R7ei1wWF+ssrHcwHUknmujtebUaoNGxaQiWFJyZ3/C9uGESZixulDFdw2paxpN8VybN86bWdabFxd46+LyfCZ3HI2Ky7/6w3PEqUnmkFKytlBFwxfa/f7LDCEEFzZbnF5tzJOYf+1bm8RpNv8MjmPncMqd/Ql/+v4Od/Yn1Csu71874s0LC2wu392vjLNzwdb+hEJp+qOEOO3ztVIU8stvrbO+VKE3jBhMUrKiwHNsahWHauDxq1/foDdK+OFbayx3K9QDhygtaNYC/v4/v0q3GTCJMuKkQBWZmRPkBYUWZIURZRy/mYvCkE7744R2w6elFKsLAXGqubo9Io4eHEdQlCLUJDFC+s+SZ5bnen4me9gaYQmoVWx8zzHCWHV3xjqNMz6+NWR2q+TZLGhMMBrHnF1t4NiS3ijG82xcx8KSFrYlqVcdWjWPiu/QafhzA6i80Cy2Ay5sNNlYbnA0jAg8m6tbA+K04MfvbpNkBe2mz5XbA/7VH56j1TxJWk+zYn4Gubk7QhWaSZiilKJd96mVzuOtusd3Xl3hoB/SHyfkSnNtazg3u3sYlDbGX1pDu66fzRzwIfBci/ExSsMX3ZRuY7lO4NnkhebDm0fsHE7M5z/J8BwjdLizP8V35QMTIk5asH0xISUUWjMtydm2ZRmD2rpHtxVw0ItQSpErY/ZiGpiaQkpcR7CxWOXOYcionHXZcsz331ijKAqKwnzmGvijt7fKGiM1JjBLDc6sNlBKG0MYDXnRpz+yS7GPYKld4Y0L3Xn/dGYC+zSYhClX7gxAm37qSqfCmbUmhTI8pnevHM4d721bfur5ipSCl890yHJj4vdFmO3t90Nu7Y6xyrXpzGp9bjbxZYbWmo9v9Ock9XGY8uaFhwul74XvWneF14Ln1hNWSvPKmQ4rCxUsTKLD9oGp3QQwSU9WxrmCwBFYCNJCPVbAcYJnJMEuI68sKYmKh1fdGpNaJQAK2Osn2NIkaxUawnu8MeNc41jmidI0J01zI5jQMBibPmKjmmNZ8r7607YEo6l5b5OyPvU9G60gyU7WByaVV6Is89p8R+LaEi0EnutwOIwoCl2+/pw8L9DlGxBlas4P1RjRaaPq4XsWthS8e+WAZs3HtiU7h1M+vNkze6SGaWyML2c9t6wwZpL1iouQcHN3TKfuUdQ8LHGynwxGGOWWvb2DQcjW/nieHpblsNytkhY5FphklqwgK3mUS62769C9HKN6xeFbry4TRxm2I3Fs64QxUK1y8nV4jjU3oZFSnOg3eu7Jz8X3Hn6Nn11rGkNJrRFSPPU54WgYz2dXYZzzzUtP9fDPDd2WT7PmobQxIOg0v7jC0ofBv6dvrL8IzjVPCXG0e9/Xfv2tVz6HV/IC9+ILUMY8NbYPJuz3I2xbEsY5n9we8NZLTy/k+MqLOO7Ff/Kf/Cf82q/92jM/PssyPvzww/m/VVJwNDJO1nbT5sMP98zXtWYyzNkfZqSpYqotVKLYi2Gl7bDedLDTKXvbcH0v5vZBSl5oKp4kmwRoDaOwwLUFQ21zdcdsPiKPGU9SCmU22zA0EZi9QYJNTpJp0ApHZlDETCJFbzClUKDKrsTDiNTPyg95FmKJvue/M4jy983SCyRgWQmeI9hsF1hakaQZhVJMQ0VWQDFVc6ewPNfYXgFZQpblFApsC/rDIf1RzoEywxqtIgLHolmxGEUFFVcyGmfkeUGeQ5wq3r28zfUti7WWzY2DlOHUKGGXWjaq0MRxgW2ZBWQShSzVPWpyyJXBlP4kN+pZN2bUj/GUTf8oZTo2EY1Vz+L2nZDbhxlH44yjUU6rYhH4FgeHExoVC0+AKDQ+0O/lLDQcYmGThzkHw4zpOEVp45g6nEywJTQrDrdvJ8bhL9yj4lmMo4Lto5Rcafb6GX1bEE8cpAQRP/1hKc0VW0cpWa6pVyxWWs4L586HQEoz4L9dEvo3l+vIkmQ0mhrHorxQbB9MkEKwezRFac2Z1TqqjACs+A5pNiUpo8EtywgrsjTHsi2ENG73UtpkeYFnW1R8l73eycgyxxbGRY+na1CWuhG0UgxC4xBh2wLXlhSqbEg+AWbrji0fnaxxHPljJi0CyHOwrbuOxUoZwvg0FjhuRqfhU+QFN3fGTKIUS0CcFCx2As6uNhlMEkaT1BysLIuza56JRyyx2AnoTWLadc+IZ2wLx5b85KM9BqOEVt3j/EYT+x4yxHCSUg0cs1FbgjcvLMwblFFSEMYZgWfTrHrEWU7FN+4qQpQEuYUaN3dHxElBveLgOhZpXhDG+fwaehBqFZczaw2OBjG+Z3HqKV2JTfN+jG1Jzm+0HqhWzwt9N+0DQ0pTSn8hmkLPE2dWGwhMSspSJzjhOvcg1CoW9B/9O7UyDnJCWGgkmpzhOCHNy31MmWbBzZ0xriUJdW4cpizJQivAssyB33MsFtsV3rl6xI2dMVlmyBGzmHAtIEwKfNei6tvkyri4REnOaJJSDWyaFZdu3We/H6LBEAknKUWhGU5i0kyXSTgaKc1nLgT4npw7YB0ngT5oJZh9rTc0TRl75uaJJs3LSOVCYUvjcKdNKAhRVpAkOZWKgyUFWiv2e1OOhqaJut8LiVNFFJt7vFZx2d6fli5QRRkjnaC1ccdIUzVfIwSmOdyu+xwNYv7FO7tsH5o12LVtfFdhWRLH0lR9SaFNIobSCiEEtqWZlAkmOwcThtOUlnCNgw6CtNB4EuI852sXlrm1N6E3yji1UqNRdcnLiWx/bFx4lNL4rs3l2wOmUc4rZ9ssvbrCarfKNC6YRhn1ij1//WGcz6McbUvyxoVF9nsh3VbANy4t0ax5/OyTg/lnMCN2zbC5VENr4+yXZgVX7wxwbMnFzfa8GfTCDe/T4+3LhwB87SsicLOk4JfeXOP7b6zy5x/t87u//wE3dkb8f//Lt/nDP7vF//nf+sYLp+YXeIFnRH8U06j5ZLmmGIFdl0ht1vtotlk+ZwhhCAOFohyUCqqBS73qUhQaz5E0ay5fu7jI5nKd7cMJg3FCNXDoNAPev3ZEmhUstSucXj1JRtzrTbl6Z0CudOmkW5SR2Scb0Sf2Jw2NqoPrGLJRq+adcGd66VSb23tjNLC5VD9x9vw0e1aY3J0SqTIa/bMUccwGH0laYFlq/rxJ9vDn3TmcsnUwQUoTf/48nKTC+GRtMBctPyV2jwzpR0rB+fXmc3GN+yrhwkab8TRj52hKp+Hzxvm7NUEYpwhpIUWBZTlUfUWSKwTiseflR5mvqHsKc00p5IA5qfNxSHN4FN3jQWQQCdzYNamwlhTYlph32gWKvZ7pZ/iuRbvmlkJ1KJRmMDGJGNXAwRIwjlIsKQlckzScK0M4rFcchpMU25a0mh639qYUSnEwmHLQCwmTwgxbC8XhMKYoNLYF4zAjyZURi2cFtaqLBjzP1NcmacicwWbmG9XA5tRKg2mc0Wl47Pcjrm+NkBIubrZoVj36k4TNpdqJFNjB5G4Ka5YXDKfJPGnn/HqTMM4I44KLp5r8xYf7fHijR63q8hvf2Zw/rl5x2D6ccH1nZIgeCxX+4uN9lNJsLNVY6RrS+ayenyFKct6/dkRYJp5c3GydEAYZgeCD1xnTXzDfu7jZZudwim2L+8jmN3dH7PdCXNvi4qnWY8/HL2AgBHTqHqfXGuwPpqSPa3Q9B2ggzo5ZXz4l8gL6o6h0liz3qkRTqLsr0CxVFCT1ik2a2ShlrsvxJMV15JwsYEljeFIUiq39MR9cO+RgUBIiyr4nUDqH+ygNo2lGvQqri1WqvsNCy6NecbhyZ0iSFiy0A7LS7Ob8WpMsL0oHZ9PLcRyLTsOf98R+6c01tg4mFIVic6mO0qZO2e+HWJbgaxcX6TYDfvrxPkIY4qtSmjjJOeiH3Ngecm1rxPffWKVVdbma5aS5Yn25RpoaEcew7C1+crNPq2bIEiYJvTD3bPxgUukLvMDzgu/ZXNhosXtkhNR2++4+kGseKeCAu/2iWsUhW1Y4tqRRde9L3XgQZvdalOScXqmTZTkHg4gotagUilxpFkpzljjJqVdc6oFDkmasrDSpBDZ7/RDQoAVxkhN4Ji2iHrgcDCK6DZ80L0wikLBQaWm1fwxKazqNgP4oeSozqeMob91HIlfPZoh3L/T8/9z9twZUoSlUTuBKMo7VcOUPiNJsaK8fGrFGrnh5s0PRqXBjZ2RI93vjksQpAcGr57psH05Qheb8epNa1SVJC0bThFfPdIjTAsu6a1CVlES/WX00O7MstgPGYYrv2jSrhpw2E/RvH0zYOphgW5ILmy3qFZeKf/f88jxEyy/weMw+w9ms5vhncBwHg4g/fX+H90qjuYrvmITsXnhSxOFY/M9/scVeb8qrZ7tIKUjSgjv7E3aPpnOhZ7sRMApzPNfGsSSea833ZkO+ljSqgXl9ouC9q4e8/ckhh8MIKQRSCCqehQJGoUZnyiTeiVLDUd50CsMfcEvhmm0LxrcyZhE8jxw9lqIKKUx2+NNg1oV4kkepx/ygwJC200yT5gnFPSSLQmnCqDTVKs/rRvBmZh21wGEwTbi1PQKMYWAhBJ5r8+vf3GQwzUizgpdPd/j6S4v8xScHvH/1kMC3iTPF7tGUoBR7HQ6ieTKFbUm00qSFpj9N7xNxzOaAWblQ+p7F+Y0W/VHEJEy4fKvP0TDiX/rGButLdcZhxoJtzXsF0/jhbvNGrC84u3b3fPUgEfqz4tSK2aeStGChFdxHiv2i4exaAymFSb/dtihyRZQYoaPrSOoCwjQnyWR5hj8J1zZ71dMmyzwLvJJ78KSOyY5lzhu2lEhLkqT53Bk+yQqiJC/XCY3n2qgkN+tIOUNMdI7nuKws1PB9l94oRgrBcrfKd15dRmnNNMpZW6hw7c6IOwcTksSQptPMXGtZUcwd9ePMiB7Wl2rsH4UcDEICz+LqnSEXN1v3EYrjNOfy7QFRktNt+Jxbbz6QIxMmd3u6UgrS8sMwYo2SO/KQXucMTzKvn0FrzdWtIb1RXJq4tj93sdLx848l5UOTXr/oyHPFP/2L2+z2Qto1j1/5+saJlIE4KZ6KI3FmtYkQo3kyUvCYJKEnfp2F4v/337zD1sG0FA85WLaFa1sIKcq58t0bVWljqmzMCx9/Ax/fqrKcMocChHiyovvEMwhjkoIwCVRz82dheH1Zrsv+gNm3ZteOlMakJYwND2+xtcL71444Gpq0il//1jr/7GfbTMKMZtWj0/DojWNcx6YaWNzeHc/XKtcyBjz9cYLnWHzz5UU+vmV+tyUFjlCklILMQmP5Nt4x9xyhNXFm0kWaNZswnq3RFsNJQrsezIsHw68wf68QsNSscGNvgiVgpdsgL8pUEEyf0vcdM4upe/zgzVUOBjHTKOf8RvNEmnmaKWxbsn0wxbYkp1bqOI5g58CIQs5vNtg+CJmQ0ai5KK1558qBMZPtVk8km7fqPr/0xhof3+zjexbffW2Vj2/22Dma0m34vH7u5Kz7wmaLmzsjlNKsLlRPzGhqgcPZtSaHgwjPfTxX6dPMd1oNj0mUkReKdt37LEZpnwm++fIK/VHCzd0xS+2AH7618Xm/pKdG4DvY1l0+X6v2xU9AuRcfT+//2u/8d/+Af/ev/9Wf/4v5Bce9/ZVu+8s3azwaRvRGsdkLbMnhIH78gx6AXygRx9/+23+bmzdv8h/+h//hM/8Ox3G4cOHCE/98lOR8dLNvYv+UZqHl02247BxFIASXTrWYss84HwGmyF5YXuTUcv3EID9oDbm2NcQeDjm3YQiIxpnaYxLlWAIqFZuObzEJU3zPxgscLEeRT1OSJKMo3fobFZveOCmJjHdfq/UZu08ch+8Yt21RkkcsTCNm9nJ81xTzhQZbSJCSl85v0h2mbB9MePfqIVlWung7kiJV87j3Rr1Cp+EziEdzFexCu8UonlBzzO9dWWywvlAtB5mSQinao4Rr2yOTLKBTGvUKaa5I8IiyAs93cDUI26HlS3Idle+b4PtvrLLardJp+HRHh7Q75nnPrtX5zqvLvHP5EKc65bUlF9u2yya4wyA7wK8q4nyAEzgsdCq8fq5Du+HNb2oh4MxKnUbNnScHHPQjord30FozjEfUbUmn4ZEVis3NJXzX4tUzbSxLkuUK70bfJLsEU+qBQ7tuCteza0/vAHZta8Syc3c4vbbeeG4u0+MwRSkzuP6iEsKPi7iO4+bOkMEk4aWNFkFwt0ipBg4vn+7M/x3GGUla4LsmCWKvF5oocEBrcxDZOZywtlCnVfcIo5S8MPeKLA81lcCDQqEFKKWMslWbZJ44LRBWRq1iMw7vHpAX2z5JYgacozCbq7LvxYMGEEprsjLVZjbAlVKS5Q8eQD4q9SNXz54Kct9rLA87heZEkWhU7wXduofrSI6m5j1Uyrh0RUnGZGrRn8QkaV7GB5oDQq3isr5YMzGAGuoVlzcvLnD51gCtYbEVmHjLMEVpTX8UM5oYktkkNE7+zapHnOZkmWK5UyEoI81naNc9oiRFa43nW8YVwZI0q8YNf32pRjVweOVMl+2DCbd2BYUyaQrtJ7jXltqVZ4p2jdOc23tjALJccWNn+ED3CMeW1ComlQGMs87T3q/j0Hwms7/5i4hZY+xJcWv/4elEs2s+TAsCT2BJ40o9nKRYjsQqHWUsy0RtV32bvYFJvXAsIyDQGk4tN3jtbAchJHtHUyZhSpLmxEmBZQuyxDSKtIbVbgXXsUEIbAFFkVEoibQEUVqwdTgmyXIubrYZTRIGk4TAKyM4bYmQhWmkWJDHUK9YWAJcx6Zds7m5N8axREkOeTCsciCy2A4YTFPadY8+KXmYzW9kIQRCSlzXHOyHkxhLmLhvRwqyzDjvbi43OBiYwhetidOcNPcZThLu7I+RliBMMvJck6uCKC04u9bkytaA4JjLg8Y0iCu+Q28UU/FtPMdiNE0JhE2l4vCrb62xcxQxGMdkWUGShVQ9E/duBpqWIWGlBY4tStcMG0sk5d+laNV9rm0POLPS5NRyg5s7I1xHUijNzkGI65oGdVFotg7HdJo+3abPfi9i62DC2fWWabQXitEkoV4SwNp1n4pvs3UwQWvj7vHNl5dpl5Gns4H7/P4sByNKaYbTBNuSnF1rMo0y3r92BJhGz42dEa+d6z7wc8xyNa8tZw3FNDMCk8C38d1fqOPEE+HtUkgzc6X7qkAIwbdeWebrLy3y+398nb/3Bx/x0c0+/6f/5z/l3/2XX+O3funMC2HvC7zAU2Jzuc6H13s0qi6BZ8SOVVfy7vU+dume+bzhexKlyshvzOA9L4WmzZrPxc0mv/2Dc+RKc317SKfhs7ZghFof3+zNCT17vZBW3cN1bS7f6lGvuPQnhoAwjVLCKOPVMx2qvsPNnTHdpk+t4uDYFq26N3dJklLQqHksPWQ/qfgOl8rzVJIV9EcxlcD51MPIdt1nJzGdWs+x7nPvep6oVxwjZs0VrmNcuk3N51C5Z1g3O1P4jjWvzVX5WTzpvtIfGZfBmdhVa81wkpbu6u58QA7QaTy901OaFdzavfvabmyP+NpLX60970GYneUbVfeJSGivnetyZrVB4NnYtmRYkvy7LWPcopTGsSxqVQc1zRBAJXAYTR8urHnaFaHkOpg6H0jjZ3OlnsFxhBG658dcozEGJArQucZ1BUFJyi6UMkIJTLLdJEyx0qJM+xD4rm1q6yglzU3qqxDmGqtWTB1bFOYs1G352NIiK3smcZozjTPiNDf3VA67/ZB24Zuzf/k4LQRJUdCqu/Oa2l1usHM0JS8U0pJIPVsRoRa4fOe1ZeKkwLEl/8MfXzdJiKXA/a1LS8RJfp8L3cZSvXTuhEpg0675XN8aUPEd3rq0NB+O3t4bE2cFa4s1bEvw3tUjVrpmjb22NWQSZiw2TY/hn/7kNqdXmyilubkzotPwS8KaOLGOZrmaC7RG05TdXvhMCTutuvfA/t44TNk7MufdJDMmGa+c7dz3cy9wP6qBw/pinVt7k59bz/1xeBgJcda3MMRCuyQvlF8ToJWhOzqWORdoTC/u7FqLxVbKu1cP8VyLQimGpfhTKUFQpuNKYc6ew2lKlivSkviihQYpaFVN37tRcbAkuLbF2kKdr53v8KP390hzTbcZzHtxG8t1lloBgW/j2ja9UcJSO0AIOLfWZLEdzM8mrZrHr7y1zs6B2fezXBEnxd3eWflmXNxs8dOP9+cpY82qy17PJKxrrfnDn9zi6y8tcWmzjSONs1o9cImSjHGYUPFNykhWFCw0K1hSEHj2/J59gRd4GsRJTpTkVAPniYXG7YaPbUk+vtVjNE3ndV67/vh6T2ldJu9V8R9AJpuEKQeDiE7DN8RspWnWXAqlGU9TljsVbMvUO6eWG+z1I5Kk4GgUUvWNU7xtS5Qyv8u2BZ5jU63YBK5Du+GTm5gffM/Cd23SvEBIzepChZVulTBMuONY5IVJ9LXKvR4NQoJn21iWPuFKLgDPhpnm43FL8ZPWWp85QUhDVugTAnwpQQpNxXNNykmcUas4BJ7N7mDKv/SNTUNO9m0OhzFJUia3ezbfuLTENy7d7wKZF+qEG3jFN+t/LXAYTFKqvjl3VTwbSwq6zWB+PR13jI2SnDv7E2A2VxidEDEDc9JZs+a+6B09Z5ik7wTHtqg9ITl9+2DCtPysj0bx/Jxz5hiJHuCnnxzQqnvkSnF7b8zGchVb2ly53afiO+S5mps+nF6p0R/HOLbEsSyW2hV2Do0JUr1ikq+W2hU+vtljEuUEvkW8n4M055XN1SZ5oci3hyQCXNcIsYVQFMqYOopyJpgVCoEmM6MCHEcakyYHkgccp2YjKMMH0Dztoeh53fOmzhLYtiF1SwG2FGTlAnV3/ioQGuq+DcrMj4XQBL7LJEqJ49yQxDGPrwYOaws1rm2POb/epBrYLLYCtg6nvHqui2NLPrzeAw1hlIM2Atw0M2lnni1JMkWeKxpVqxT16BP3qtmPJL5nY5VmIFXPJk4yRhOTLjmcpLx95ZBf/to6tcCZJxXOzOse+r7cc76Z9Y6eF2xLcm69+fgf/IyhlGY0TU0f7CGE/DTN2Tqc0qy6LLYrDMYx/+Qnt4iSHN+1yiTJBF2Sa+6dt0tgfblBmqRs9+LP9AxS9S2Skp9zHMfCOU98TwrQWuA40G36jMOMrEz69RzbJERizEQdaUwuaoFDoc35PtdG2OO6FrkuqFUc6hUbEHSaPrf2xyy2fDaXHcaThFrgYEtJqDKkFLRqrhGZOdZ8ntasedzaGZFlBY5r+jNpmvPxzT77/ZDN5TqLrWBukrfXD+fihKNhTLvhz+utaZQRxrNkEXGi93bvWeB4r/M4Zv27LC+eaF4/Q28U0xsaXlEU59zZGz/VfPt5YjY79D3r2Bz4/vfgy4KPb/XZLfsh/XHCB9ePaNU8RlOTAtOouU/Fc3BsyWq3SpoVz8WsZ4artw/ZOpjOe3X9ScZi22YSpQSeTb3mkvTv8rtseTdVLn3KhUJQ7sflv59mjyy1CvMEglbdZTRNERgOlOfY2JYuTSA1SarmzxMnxySYGv7sg13OrLWoVVyyQvHTTw65dKrDfj+kKDSdVoBCsNTyqQTW/BwgAIVJh5qtCQeDlGrgEngOliWwHQeRpQhtuBtLrYCwrK1bdZc4zpmWpovthsdoYv6GotA0ax5ZbsyhA9/mu68u87Mrh0bw0K2ANPeDEWcacetBL8J3LV47v0BRCuARYFkW33plmSQtqFddbhxLFq/4DqpQ1HwHIY3Y87WzC5xZycz8ATjox+b7mJSPWV9059CYDh0XNW4s1xHC/N6Kb/P1S0t8/SGfo+dYvHSq/dDPebEdPFXyzp29MYXSbC7X7kuPexSW2hW29ifkSlGrulQ/w/nO88YPv75heBaejfslTEM+s1I33JjS4aD1BD2HLxr+6g9X+Tv/zc6Jr7228vDr+gU+O9QDh9Exs7mVZ+A6ft6o+DbDknNX9Z3S/Ojp8eVZxT4l/s7f+Tv8w3/4D/m7f/fvEgTPHtUmhKBSefILplKBrwcBg3HC7f0J0wT+4B9eK4tXm+u7U14/t0CuLSZRymCUcDDMSYuQV8925m5Ug7DH3iAlKwT1ihn0Z7lmEhVcuT3ELsn6a4sVqoGHbQmubo1IS4KF0pp61ZlHm0sp7svyLJ6Tg8yTQEqJbYHnSuKkQEqNOtZYyYu7itvAs43b/eYilWDKwTA2XVlLI7WiHtjkRYrWpnujNVw602US5aR5Qafhc/5Uh2rVZzhNSBLFQrPKmfU2SmkubpqFWAM7BxP+/OM9wigjzRW7vSlhokhzjW3peQx74NqMQ3MYywvFYJojZMrKYoMLm10mUYpjS1YWa/zeP7nO+9d6ACy0fP7mb71Kp+HTHyec3yzMEFtaZKpgpVvj/KkFltoBvVHM4SCiN0rY7qUcjQsunmpxbbfPeJpi2Ta1wOb0mokW21yqg4SLp7sstoITDY5vvBLQH8W8fn6ZvHRH7Db9Z2qWul6Cl979t+f7VCqfPv7w9t6YnUNTdDZqikun2l+aZu6/eHuLP3p7G4Af1Xb5d/7l1wgeUGz1RzE//WTfxNLWfV4/3yVXimpg889+eoedgymTKEMKgeMcUS+bYrXAJtfm8JJmOWmSU2iN6whePtNm9yjCdSwOhxFJVn7PEri2IMtN7OzhwDTJ0+z+hspxuI4gzUr1POYerPoO1cBlFKZkWYElBZaUD3TylNIMcVXxcJePT8tFk6VwQ2se6O5hSeMgem17WA6DHGoVez4Imrl27BxM8VzjBOPYFssdn1fPdek2AzzXZhKaNI2buyOWO1XiNOP8RpNJlNFtBnPny+VOhe2DyXxQMSNzFFoZ4gg2d4+ycG69ycEgot3wmIQZjarHL725RqEUFd80Wy0p2Fyum4H/Us0MnFyb7mcYp3fv56ke8UFdOt3haBCBwBwknwJbBxO2yveqXnF5+cyX515/FPQjehyztzIvIE4LfMfi3HqTKM7QCBxHmuQJz0Yr41CXpgVZYZqTCJOm47sWk6hgOJ1yZ29Cq24cBpRSuI5Dsy555VQHISWdZsAnN4+MwEEIQ5LIY3zXQUhIUkWWKaZRzjBMmcSZiSVG4zqGzAmQJmZIMI1SNALbVrQWfY7GMVpDnGUPdAy2LGjXXVRR0Kx7pn4KHEYTs4HM6o2qb1MUmjDJmUYZWggaNZeKbxolqws1zqxZrC5Usa8Ksqm5r0zC2Iw8ZgYVgecQ6xyEZhwaEcx3X1thOI7ZPpoymCRIKdlcrLLY8pFCEMZFaWRn1so8L7ixM6Y/jklL11DjnAlxlmMrMxBSWpMXBfWaR9WzQavSjQoQgkmYcm1rhEaz3K4gpSDPTepGvWocydzFGu2Gb8RflbvNujxXfPf1VbotnygpWF+skGbapPeUw47XznUZTc0aVT/2WCHE/P4Uwuz1Wms+vtlnHJr3fm2xep/rlX6INXOaFbx/7YisFN5e3GzjuxbvXz+iKEw9+fLp9txl+AUMwfPa9hCANy9+NZI47oVlSf76r5zne6+v8v/6z37KO1cO+dv/1Tv8+L0d/o//q7eeSUj4Ai/wi4qVbpULm02ubY3YPsixbcHb1/tkafGZDVrTTFGvOEYsmBfEmSLNMhwnZ22hyrn1Jjd3Rrx95ZA8V1iW4De+fYrFduW+ejFJCv7z/+lj+uWgfalT4fxak+3DCa5t4XvGiepgELLYMsSuV891WGpX8ByLKMlp1bwnEgROo4wPb/TmhIbj/ZJnwazWTrOCbtN/6rjup4FjW7x2rsvNnRHTOJu7e3/t4sIJMcD24YQ7e5PyMdIMtMo6+WF79b24cmfAzz4+IC7F6t95bYVJmM3JEMudCq+d6zKcJCdqi6eBuue1FE/42r7MOOhHXC/3d9+zeO1s95FCjjjJ+eB6z4gEpCExTyNzfuyPTCJbUSgKW7F3FM5d5R73TlYDmywrkEITP2GIiuNIXMdCKag2LfrDdM5Z8uwyNfMJSI1GGA5IPSd6zzA7l2sMGWNzqYFlCXrDiGvbY7SGDI2UNuQgZIHnWOXrMr/PcSSqAGkJPCFoVh0KZep9pRVKQU5Bf1Kwc2TcurNCkecmEU+hUJhUTDCvb22xQpZrfM/m+2+sstAIyJXizHqL/+IffsT20YTFVoXFVsCtHUOQeOlMi/euGkdirTX7RyG98v5xHIv3rh6itXHPfe1cdy4oe+1cl1rgMJomLHeq/Jf/+BMOBsZZuNXw5yKOJDXO/rOk1Maxe7C4h0w2GKdIaV5XxbfL2tI839m1Jpdv99GlYdBxd6dHneWfBff+vnvXgBd4OGxLsrZY4drWcO5m/vPEg0xUHvbpHb+nk6x0wNUmUUfrY8neEqqBIffNemdSahY7AUVuRIpFAQstj3Y9YH2pZvpaWvPnH++z348QUsxTMtNUE3iGGNxt+zSrHlpBmuUsLwT80Tu79EYxu0dTXMfCtSVV36EWOPzqNzewLMm7lw9ZX6rRGyUsdyQ3dkbGaOcYqcCWkqz8DFznZN0xu6ZPrzb5N//KJa5tDWlUTHLPj97doVYxxJyiTBrb64VmHc81iy1z5t7t3TX2WFuocXqlwanVOpYUVDznS0taeoHPB6Npysc3e2a/KevnJ6mXjwYhv/eHVxhOzb715oUu339j/bHXX1L2fvKy9/PSqfaJGrE/ivkHf3KTPFeMo5Rza03adSPQzjJFnOYcjWKiOCdJcwbTlDTNSdICz7UZTzMW2ja+Y+M6ksWWz539KQiYhBmjSYaUxgHec23WF+tkec7uYWbSvDxJfxRxbXuEJSRKaOqBpF5xDGEyySnU3TRDWxp33Rnh27JtGp5gFGb3LYKOaek9k1v5ZzpLFcY8ruqb9DBdMiBtKem2fLQG37fpNHyklLRqHqdW6rx2rsM4TAnj3CSE25KXT7Ue+jS2ZeqZ3ijGLVOMhpOEUyt1CqWwpKTb9LEsScWSvHq2w2iaUvGdE8TDe88q99YON3dG7JXrZKvuPZL09QJPB6U0H93ozRMWT63U5+ltj4Lv2Sw0A5pVl6VpysZynd/49qn7Zj2zz7bT8M08TEGuTRJHs2YSXbJCsbFUm6ftjEKTtFfxLP7sw715D9mSgv1+xNb+hDDO6DZ8Dps+tiVY6VRo1Mys47Di4uWKRmAzTQssAWFcsNsLEcKIuFRh3K9nZnU6U3iOje85CJGZfooC25FkqelrCCmoVz0sadaUTJm9/OdZ2WqMw3iWF7OAEgJXojPA1kjLzF1tWa5ZmLlQkioKZRFFKT/5cA8pTF1jS4G0BHamGE0T8kJxc2+EZ0v645SXTrVZ6lS4uNFkfbFmxPKBw8e3+lzbGpLlCq01m6t1plFOu+5x8VSbG9sjRtN0zp+Au+vF0TDm3HqT8TThv/2fr9EfxfQmCefXmqx0q/P7v93weeVsh2mU0ai6j+3fXNhocTiMQBvjg68atNZ8crs/n4+tLpx0QQcj4PgffnRjbtD17VdWCHybrDAzuywvKJQm15pq4GJJQAomxwwdBcYJeLlToRalDKef3RlkNlu7FzMzCWM4Z1I6ZHm/Kq2R2hjDaA2WLbGFpFZ1CJNs3gtVEr716hJJBuMoYXvPGDlIacSc73zc4+xag6xQrC3UuH5nwJ+9v8c0yVjtVKj4Dm9c6PLNl5c5GExZX6ixvlRHSmOMNqtzbGnE6VmhiJOMo0HO1sGE3jCmUAXLnRrrS1VOLdepBi57/ZBO3Z87x8+u9/1eyNWtAbd2xwgpOLVcZ3OpjmWJJ+69aa355Faf4SQ1CTmThMVyzvK4M/69xp2f15E9jE3vdrbun1ppgNbUK+4XPgHnYbj3HK+U5uKp9jNzJPZ7ITd2jLlz4Nu8erZbJrR8OmSFuK8w7TYDDgch9YqD71oclVwhgekVzFeOJ7hejte9Upp0FTNXFyTZo9cZq+T1CKDdMLVDlBiTxO+/tsLbVw+ZhBmrC1WyrGA0Nb1zx5FM4uihLy/NoTdKcG2JZQmkVWFtsUpScpl2DydsH4QcDUOaVYdaYBPFBVKC68B+LyJXRiRiWYJmzSdO8/m8IE4LlNbUAoe/9J1TXL7VB0zS5x/9dIvb+2Nc22JjqcqNXDONMzzXYqldpV4xosvVbpXVhQpRWpBkBV97qct/98+u0xslpZjEvHeT0JjUOLZkrV0hTnJ8zyZJC967dgTaJPG9cqZDs+aV4jfJta0BuVJILU0yMmY9k5bAd6wyhViBI+/r5R3/d5or/uCPrzMuxUlfv7T0UOPH540fvbNtzHUxs7Lf+M6pJ37sta0Bb18+QGkYjGLeurBokhu/4Lh3bnDpdPsE1+PLgFrFY2Ohxt4gxLEkr579+VwvzxN7B5/3K3iBGQp9ciiSPWnE2xcIcZqzczQlTgom04TRsdT2p8EvhIjjd37nd/j93/99fud3fodG4+mTBz4tKr5TOjxl7B6F3N4fUykVdW9/csC59QZhktEfxti2pBY47B1NubU74uxak9fOdrh+x8Squa7kYBCy0q1Sr3r0xyO0Nq7zhdLsHoXUKi6r3Qpxejf7V2nwXce4UihDV3zQ7OizvhWEAKHBcUp1rzbx68ZFv8C2BEmm7zpQ2IJKYJIrfvrJHkeDmBs7IwqlsaVA2IJMG1GIEGbYK4RRw9arLnmuWGpX+cGbq/zpB/vUxy5hknFqtY5jW1zcbFENHLYOJqSpce7eWKyzdTjBSQvqgcdyt0JvlJZO+HbZ1EyoDiPjVJEWDCcptcClUfPm6R6WJdhYrPF3r/fmf78ZqprD9kLT57DhUxSKILB5aamN61js90OWOxW6zYCDQTQv3Pd6IUejmKJQNGse7bpPXijOrjWxLUEtcNlYrs1dUo/Dc6wnatw9CdYXa0xCI15pVN0ncnJ6EuwdG3aNJqlJq3hOEYKfNWZu5mAcha5vDR5YqHx0s8/2wZS80FzbMgSehUbAsNBMphnMDzs5GoupBDApEd78utJEsSLLC5LMKKVXFutMxilxUpQDHc0wzPBsC+EoitKFsijdDh52eDeuLxLLN2p2MG4Rp1YavHymwz/605tkqVlPOnUPKRRxmp5YNwSAlniOgpySPP5kjdAnHXwEnkV4TG0/W0cME1uXa4cEYZwuxtMEKQRaqVKAYpoyonTEG4xiRmFKoe46sdQCMxCOkpwwyllsBUBAkirOr7fojWKOBjHtps/5zdZclADmoDVTqheOcQ8Txw7gZj/IqfouVd8FYWJ837hwP9m3c8zF42FQSrN7NDXxrc3gmQfDgWez1Kmw3wsRAtNceQgsKVjqPBtJd+dwwn4/NPG4aU6U1D8VAe+LgqonGYSPb4hqjBggyRT1modtSfqjmMC1adRc4qxgOhdUlJe1gqt3hljWGN+VaARppsomO6bbjybwXP7Xv/UaH13vcTCI6I1SEMJ8G+Mcq40dLfXAMQ2ArCDNClzbwnYkIjUEKIlJgCmEIVcgBBKBEJDkBXmuDYlSmIZNYMFMIC0EvLTe5sLpNje2hwigWnF55UyHw36MEFkZl2qaB3lhxIW2FOhMo5QRalzY6PDGhQX+4qM93r58YASMUiMwzd8kVwSYQWZvGOFYgsI2SV+TMGW3N6XbCPjltzb4yUf7OLaNEJpm3cd3bWoVh/1+SJRmBL5xNkwFki/ZAAEAAElEQVRzxWAcEycFAk2hBeb/mfpFm8kpUkqqnsvBMGIapYaskqtS4GVcws+uNbm9PyHNCrK8oOI5FIXGsixaDZ/xNGV9qcbaYpWPbvapQRlhavbxCxsPH2gaJ4wH3zf33p9GVDDg45t9HFvyzZeX+KU31+k0fXrDGFmKxh6E/jiZu/FpDQeD0Kxt5fWplOZgEL0QcRyD5xii7sZS7bnVSF9ULLUr/F//vV/iv/8X1/jd//4DfvbJAf+H//s/5m/+1qv8tV86+1yazy/wAl91HPRDltpVdo5C4yo/TOcCjs/ibG5LQ9ZQ2jTyE4xrp5QS17aYJjmB5/DOVSPgUFozHCb8i3d2+MvfOcX6Uo3prT5FoWnVPXqTeC7gAEPw8s91ObXSIEpybEuaAbU2NWA1cOiPElYXzADzaQQEh+X5G8z+czSMn7qG1Fqzc3i3bn6WFIpnhedYc4H8DNMop3osxfGgF83/d5Ybt9G9vtln33qCpAulNNv7ZrAN5lxyZ88Q6D++2ePa9ohW3eXf+9ff+lT9Ad+1We4aIXtvFLO6UCWMs69ETf8w7Pfv9ivipGA0TefOjQ9CbxTPB71Fobi2NWG5Y97zG9sjjgYRUZLjWIaQMzsvFo9pUHu2Nd9f4+zJVBxaK+oVF6UhTjNcX6KVqeujpMCcJB5/Hp+dKXRJwLh7ID/5uIrvsr5YR0jBUVlrqsKsM0ob0wMhQJWJo0ppahUPSwqmcY4QgrWlgL1+TJoVLLZ8fNciSs2ZYb83JS2MqENrhZRyfk6xhMa2RNkDlbTqZpjuOhbrizXeesk4UP/ZB7sstisstisorZmEKec3WwAoJbi+PSpd9W0Gk9S4Ako4GFjzfkqeK7bLdDzLEqwv1ji9as7QH10/Yhxmc8Lt+9eO+JW31gFDXJy5W1uWZOVY3X52o8nV7QG9YYzrWpxZq88Jp55jlacSg2tbgzm5J1cK37NMT8izWOk+X0Fto+rSbnj0RwlSCjaWnjzloz+KywREh5Vu5Sth4PC0ePfKEVIKPNt6aKLt0+BpSMOzcvxJdD0zUoUUd01dXE+iIm1MUWY/pyBOFZ2mIUoeDiJOrzY4t+ayezgl15rAMySRbivglTMdzq41UVqz1484HMSGaFr+IVKC0gLXsXjrwiJ7/YgsUyRZwbVbA3qjGMe2OLXc4JPbPSO8ald49UyXWuDSG8XzeqI3iolTRTWAwTghywsc26JQmt4onjtA57nCsY0hlu9ZLB+7DzeXG2wum3s5ywu2D6dc3x5Rrzr84M21uaCvVnHpNH0c2+LMasOsZ1pTFJqKZxP4NktPYQT2Ai9wHIeD6O5+Uyh6o/iBM5/jyPKCH723w9bhhKBMTdjtRY/sEw8nCYeDiHGUkWaF6Z9rOBhENGse/bFxdb62NSTLCoQQjKcpO4dT2nWf7YMpgWdzNDSpsqNJgmVJemPj6l8JbNDgWJIi1wS+zfmNJrtHU1YWKgzGRhR1MIjoNn1cxybLFKMwJYpzmnXP1MNHIWkWEcaG2FSvGpOYNC9M7XRsBkrBnBhNYcyesrwgTjTSEkjNXEjpOhLHUkTPMFuXZRrAs+jzDO9TYFlmIcwLPSdfloHreI6gWfcIPBtVpjdPowxbSqSQVAObhXbAaJrh2JJf//apeX1fDVzeuqTZPjBCmTOrj56Ju/fMDh91TntYP7LiOyy2Aw76kSFt3tNnPF5LD8aJ6UV/ymTFFzCYxtlcwAFmznrvWe9oGM3TMmbfe/PCAoeDiCQtOLXa4De+cxrXvl+k/tZLi/z5R/tIBF+7uMhwHPPBjZ4xZAh9GlWXlU6FwHMI45BOs0KnHLNdvjNElkndUgh2D6c06x5xmnJzd1xe04ZkKqUky3L6wxjXljhSYjs23cCItexCU/Ft4iRHCI3vlnPHsp6YCbDTVOFYDs2qjcasAWGco5SZUc7Wx9pKne3DkMIyc44nJQrNOA48QCj7tBDl/89zZcQnEtCGu5HlqjSwkFjSohbYFFqVz2nS3G1LILRJd7TKGaPWxtwqSXKQkr1+iOtIru8Ywq2UklbdYxplOI6kUfPK5ADBWxcXcRwLXT5/f3S3lprBsc16MZwk/Mm7O4xD0weYxDn7/ZDTq40TKTw3tof0RjHrS7VHzjrAEP6/ysZASVrMBRxg7tV7ZzLbR1MmYYYqP8cfv7eN40jOrDVI84L9XlSKAkzS3fJCld2DKYWvSWJjxqYw4orRNCUr7pKnPws87Nc6thFNa4xQVBT6pAmevpsA4JWCxaK4m/Zp9ljBSrfGNC6o+DYCSW8YmXtDG3L34SimVnGI0owwKRhOEoQwvIlaxUF9rPn6pSXeemmJCxutB55Fe6MY25K06z5xYgwXRtOUOMvR5exdSl0StSVxnPHB0ZSFps/6Yn3eV9zrh4RxPp+lRUnOx7f6WNLsq29eWHisu3ySFXNTCs+xSPOC3aMpliX49qsrpud3OCFJjYHtpKzfljoVOk2fg0HIJMywbcna4vPhBD0tjobxidlhkuTzPsmXFZdOt7mxM2I8Tal4hif2aTgSx2uiKM6ZhOkzGezci1fOdmnXXXpjcw3VfIssy2lUXFzHZu9oambcUBoq3H3so7hDM1i26e0hjGHDcJKR52B78j4D2dn+doy+AOV/4iTH81xc19ST713rcXGjTaFKg8ms4JNkgFaaxVbAJMrmpqpSQ37P65yERsBY8x2+/coS24eREWJ4NntHIVlRmFpfQ63kbAoB7ZrPNC5Q2nALXduiWXPxM5uqb0ypAtcY4viuRX8YY5X38O29MXmhcG0LS0qitDCEh/K9jNOcZs3Dc22yXPEXHx3Ma+jLt0y/McvLpPOjiFqlNOJWcPn2gJdOtYldG9+zjJC7/JuTtGASZfOEizDOsC1j4imlJi7Pa7O59GAcUyhFWih8bTh+s5qo0/RPiAb2j6ZzAQcYk6iVbuW++vF54PhattAK5qaIALtHUyZh+sScg/ev9+ZnisEk5dbeiAubj643vgg4PjdQSnM4iL50Ig4pjWmRtCSWFHNx45cJ17b6933tdljwnc/htfyiYxqfbKxcP7YufFlwZWuILrlzWogTa9vT4MvBkP4U2N3d5W/9rb/F5uYmf/Nv/k0AXNfl937v936ur0MI2DqYkmbKRH9limmYISRs7YcMxymdls9wbGKJP7h2VB6ec/JCMQoTwrKQUxpWuxWmcUEYZ2wfTBAl2dKVlHF+EZYwhE3LklhAt+4hBKA0o5JkfG9BVvEM+TG/x/3tebjKSIwztyUlru2Q5ynthkMYmwZukocmyrQosCwTm+77NsudCmmueffKEfu9kLwozJDFlUgpqJWHO0tKKp5t3LEsyenVJqoo8D0Hz3P57R+cJYxzfNdG6fJ9kYJ3Lh9w5c6A6ztDkqRgY6mOa1t897XlshlsmkO+I1np1lhsV7ixM8ISgu3DCcNpQrfhl2+S5tLpDmlWzH9/ENhMSxcE2xLUq6ZwsmbONUs1ghu9+eHRO9a8nP3v0TRhvx+eIFwudyq0Gz7n1hoz7vrPZXOsBg5vvbRoitPn2GidObGC2fTtL9FGX/GdOXlJCGg/ZDiSlrZ1RyMTJ/7BtSOWWhVOrdZZbAc0ay7bR1MIQaJJkoI80yXZ2ObiZps/emebQplmndYwjjI4mLLUCbBtM9KfEaKlJbCEjVUUZLku72NzJz/onhYCdOnytNgKcB3B+kKNH35zkyxXtOs+jao53imtadYDxmFGmuv5MEEKk7ADFos1i8EkBYEhfD/BImJL83cFnkDp0mFGn/y+59lkSmNhnHS01jQrHiBwXEmn4bPXi7CkIaVYlqQoNL5rnALzQlGveOS5YhRmTCLj7nFnf8x//U+v8O/89qt0S+cE25InIk8912KhFfCXv3N6PmywLcnhIJo3Z4Qw4ouza02KwpBIKscESZYl8Y4ltTj3/PtpsXUwYedwCsDRKOb1c91nJlCdWW2wvlhFCvFIZ9lPg8NBNHcCDuOcb736mTzNzx2VqscgjE58bZZscxy60CCFIQ1YFm9e7LLXCznsmwas1obcNwkz0qwkNmmYxjlxYsSOzbpPVhScXavPBTGubVxsK77NYqdCo+by3pWAaWyiggupaVVdqhW3dKYrqFU93jjX5v2rPfYHsYnztiQrnSo7BxNEYZwbYq3otgLy3BDAkiQnSvL567Udm5VOwO7BhFbDJXAdvvvGCt95bYU7e2OmUc7u0ZTlToVG6T4hMGkgQph1Q0noNCuMwoTN5QauayGF4GgQlRGfDkpjBpVVh2mUcGa1QZIWDEamSWNJyWLbYb8fkaSK0SQlzzXffGWJV8522YwyplHKNMp5+/IhSsMrp9t8dMs0tk3SiRF0pJkhhAWuzeEwIvAtktw4CDbqLlGcs7JQ4cbOEGlJVKGJs5wzVQfLktQqLo5t8dKpFhfWW9w5mDCJMrJCUfFszq83ubM/xnUsqr7Db3y7wZnV+mcihkiynB+9s0NarlFpWvBLb65zYaNFuny3XnkQvHv2ec+x7v/alzDm87OEZUn+1r//y5/3y/i5QUrBX/+V83z9pSX+P//Fz/jwRo//6L9+l3/653f43/61V3jz4sITkfWU0uz3Q7YOJkxC46TpWALfM86S64s1GlX3F5L49wJfbczOU0mSMw5TkjT/zAQcYPZ5z3VYX6yyuVTjoB+a5lIp9q56poZsVl0OBzH9UUKc5qRpzkc3e7x5YZG3XlqiKM+Cu0eTE32FhZbPNy4tla7BZojw3rVDPiiTKcdhxoWNZyOwPmhPelrc2T9ZN792tvtzdYK79/z8oH8n5ZlxOE2oeA6L7QpSiHkix6MgpcDz7PlnYklBxXf48EaPP/lgz4gv+xH/9T+5zL/9V1/+VH/L6ZXGfLiT55qPbvTvSxb5KsFzrRPkqMfVP8e/L4QxD5jh+s6QUWjq4bQ0hHaecHtL0gKFplAKW5rPXAhjUtCs2hSZogCG0+P3meBbr66SZzm39sZ8eOPI9Ab1/NtAKc7AnGGEEETpyea5JcGyLQSm72iXkdDJPT+3s39XsBIlBe26NxdcWFIaEUf5fK+f75KWqXd7vSkLWmBZECYFm0t18tKIYaEV4FoSy5bs9qbkZV1bKM1CO8B2LJySSLnYMsIMKQXfeXkRyzau3wvH3Fxn6ZmzP3+5U2VtoQrCDEzvbJv0izzPORgYQYUAwujuQLNQilu7I4Jy3UzSYu4q3Wp4J9bGWnD38/c9h69fWjbvoS1ZPTYIdW3Jb37v9Lx3+eHNHpMwLY0rrHmfTGs9J3fMPoO3XloAzNDseddLQggubrZP9DqfBOMw5fLtAWDIHBr9WBLyVxGBaxNG+XPrcz6qRqh4Eq0VqjBprosdn2mUs9+PT/TkpDRmEbMvyfJrri1xXYlAgzDXrWUZEuHsTjc9aE2WK1xbEacFozDj+2+scGGzico1tiMZjFOaVZe80Fy+M+D0cp0zq00qnk277rN1MOJgECOFIPBtHMfi9GqTSuBye29syNEaDocxy+0KFd/mrYuLnFpu4DoSaZmUoeP1gCMlji3K1y3mRCmr7DPP1g7fs3nzwgKF0o+8Zz6+2WepXaFZ9fA8izfOL1DxbONuXxpJXTrdoha4fP+NNT680TM9hzjn45t93riw8Ez1ygu8wL11xpNcR5/cGpCkiiTLGU0Sqr79SLJNlOR8cquP1jAJU8Ikn5NnPcf0xy7fHoA26/k4NE7qlpT45evzHAspTWKeIW5YHI1jBqMEIQTDSUItcFjuVgkCm6+/tMSbF7okWcH/+KObjGbJNkrPe8WdRjBPrTNka0mj6pCmJjoszRXFNGUSpVhSUqi7i5mmNKmypBFo2JosU3MhWpFrHMvMF2zbmMkkuXjixLuTn4mkWRKhpRAMp08mrp2J6n3XZmOpRhRnjKOcSZRiS0HFt3Bti4VWBcexWe0a597As/nzD3fJCrP+xlnBv/2br1DkiiBw70uF31iqs9ypIsr34+eBs2tNNpZqD5wruI5FkppzjmV9dnOHX0SYfexu3Xnv+jEYJ1y9YwgkR8PYEL9LE8F/7VcvEKc5Fd9+KLn4lTNdI8Y0YeH83373T+efZZ4rvnlpab6PNqoeR8O7qqh23aXi2fM0TcsWHPQjdo+mRqRpmTSJMDbJPXFizK0aVbd01TapFfv9iEJpLGnm055ro4VmMslQWpUzBnM2sC2BRiHQdBo+rm0RlyZWaabKdUvQqnq0a0ZIroXk7Y/3TDr6vezQEpYwRFQh7sqqC63vS9J7Gji2oFpxqXhWmeydGRK+Mn+POetBLZD4vsNokpnejVTYApa7VRxHUgvMrHMcJqYum6bmmsgVYZgynKTGwKs8ewgB9YpDu24EW1IYonu7HnB9a1jySozQzHrAdRGX+0eB2Uu0tljtVji33uRf+9UL85r33auHvH35EIDbexM8x36okdQvAmz7/lnzvaiV/anBOCFKcnzHIkxSbGnSpxxbYAlh5s62oNvycSzBXi+iV4REmWEA5IViNE1JUn3y7P+0r9kSc+GjLNcZwYNTPAWm5kZCveLSrJvrMssLxlFGHOfm/FHeQEKUSVjlvraxVCEvzL2qlLnXBpOUMysNWjWf5QWTnnn5zoA7e2OG05S8UEyjjLXubL8TpLn5mpQS2RbEWX4iUeZeHO/L+Z7DmdUGYVyQ5wWTKMfSmigxJit39if0xwnO7H0R5h6oBg5eyRWYvRnTKOX6zoh2zef23oS8UHzrlZXHvN93r5FCGYPO5U6AFIJ+mXg2M0T94PoRrbqP51j0xwlvXFjglTMdslzNf8/ngftq2K/A7NB3bf6VX77LMfu053rXsQjjsmcn7u8NPzsEv/0r57lzZwgWuJ5dmtAK0jwlV8YMefbqi2MNgicphZfbFSMglJJ20+P0sjFcrfoW71w5mvcQpQDXNrXezGT2eFBHlCq8YzSqZs1juVO5WytYJqUzVYrAlozD1BhXC4iTjOHk5FwhzxWyFG3/kz/f4uxak6pvkooyZUwk8ygnjDNadY8gcLCEwHUk1YrZxy0LNlbqfPPSMmle4LkW//xnhqOhlDk3mHRw85x7R9N5UoeUAjkydUK14mAJY2Yy2z/H5Vo1Wx9mAs1KYOoJpTWjaTr/DJIk543zC2Sl8cS1reHceBfuv16STNGoenOTnOMwwnDLiD0lVDybS6c787nOcVQD5yR5TMOfvLfLNDYGNd96dflE//LT4PbeeL6WGdMOIwQCs1e6T5BAOX/dvj2fTwhhatEvA57lvP9FQy1wjMg0ybFsyfril6/Ge6Md88GNk1/71374vc/ltbzASQjxWU3IPztUXBuEWceEePb7+isv4lhZWeHjjz/+3J5fKcU/++kWN3dGHA0jVheqXDrd4fbuiFwpvvnSMkmaGxJy1UUiCGOjsh9Ok3lB8crpDle2BkRxjm+ZGE0pBd+4tMw4zNjvhSR5TJoanb0UJvKrP47KZoWH79tY04xJmuLYEseSjKO7hc5S28T/7RyFJ/ZoS4BTxjRKcSw+/R5IHnxwm8FzTKPBsQVCaGqBS8XzUCqlXnGwZRWtNEcqxnctfNeoV4cT03DojxKSrMC2jZN+oY3QY6VTRcqIw2GMJQRIwZ9/uEuaKSq+Q7XiGScxKU+QIw8HETd3R/yLd7YJPJvxJCNKcxZLF/Qrd0bzoVS94nJqpUEtcDi92mBjqcaP39tFoVlbqFKreOZvKPO5XMfi/WtHvHv1kNVOlX0R4rk2v/7tU1T9u7edEIJmzePCZovdI+OIcdwZZ7Ed8MmtPnf2jYPSQjMw5HxhhtinV+qfS8NTSoErn28xcXGzxc1dk7Kyvlj7uTWXnwf+lV85wx/88S0mYcpblxZZfchQ+ux6g/445s6BIkqN65xjx7BnGm6jaYIGomrK7lFEkubYtkWn6SGloFpxaNVciqIgVwUoQzxWKjWNx5pHf5xg25LN5RqDUYICFlo1dg6nTKOcXGkCG7Kc+8RagW9TDxyU0oZkHWniVNFuHnFnf8RgkpQxvQVCGzGFZdv4UqGKgkwZpyffseiPI0JhDj9SCjxXECX3kEAAJAgEjiPmBXrgW1i2hVQFnuuS50U5rLCoeQ5JqajPC41jC2zbIlUa3xY0qy5ag1IFgeeiELiWNMryMmI2SXM6dY9pnHPYD81a4kpAMJqm9MfxXMTh2JKLmy22DibYlpy7SNmWPHGNnltvcmvXKO+zXHE4jBmHKYutgOVO9YSLgiUFr59fQCDoT2I2FmuPdcSaIUpyrtwekGQFS+2AUysNpvGxIZE2wohP44J73Fnns0Cr4RMlhVH6N/zPLdb1eePUYo3tg5MiDq01ljCNkSw3ylshDQHqytYQz5ZkhWZjqcb17RGTKCsHlQWuLcuhgyHGmUOsETFOo5TAs2lUfTaXa2X0sKDT9Hn/6hGWFBwOYr758gJ5oRiHGc0ll5fPLnAwmHLYjzjoh1hScGc/JPAdFtuQpgqFSYrRWph1RkgCz6JT97GkpFVz+eR235A+NNgWeLZkoVUhzRR5rtFC0ql7RlBmWTRqFnv9kD//eB/XMY5XSV7gOKaRU/UlaaFYbPmcWqlxeqVJrowz0Se3+kzCtCQvafLSqbPdCOYuyLYVlo67ZphrScnRyLhtvHlxAde2WFuo8s9+usVgHLO5VCfJcg77EVt7IxCCWuBQr7rGTbNhkjrC2AyhVxdquLak4jlUA5d6xaVWdVloBVQCB1sat19CE8F+drXONy8t4nrOfM1Y6VZNHehVsCzJYrvCykKVojCf7ZnVxhM365TSXN0aMJykVH2Hi6daj9wzJ2FWOnaYJsacqcfjG4Stusfmcr10z7VZX6pjSUGc5iaFrOKw0vl8XH1e4IuFzeU6f+vf/2X+4Ec3+N3f/4CPb/X5v/xHf8z5jSY/fGuDV891WO5UjNN/nLHXC7m5M+LGzoibOyNu7o6IkkdPPusVh0unO7x6tsMb5xe4eKr9Iu3jBb70kJbgZ5/sc2N7aNyy9fMxUJj/fgGOBZZlGYEk4NrQqrqsLFQZTBKqviFBnF5p8P03V2jVPN640OW9q0f8+Ud7tBtVTq3USzOKgsNBxOEgwnNNsuWvf3uTn350QCVw+M3vnca2JDd3Rxz0IzzHwnUsmjWPJDWpEwdDc3afPd5/wsb8cqdCmhVzAtlx16krdwakmWK5U3kkKeBBdfPPU8SxsVRHKU0Y53Qa/n3OyOc2mtzcGZEXCs+VJ8jx0zh7ZPLDDK+f6yIwbqtrizUunmpz+VbfpKdZAs+xODiWgvlpYOLpTQ2SF8Y1vfIlOsc/DU6XKYVJWrDUrjz2vNVtBsRpwWBsyIuvnu1w52CCVsawQR07Gjvy7qDNtSB9yHZoSyjQqEIZIwDPIsoLLCFoBA6jyJjAOJY0IulyIalWbIRQZIXmzYuL3NkfM5imOFLiOlAUxk1WWoKKb0xPXNsGUpLyjO67hmCVxDmWhFbVmQ9o712zlICtgzFCCBaaHo5jM5wkLHeq2FLw9pVDHFvyK99YZRoWRHFOo+pwbr1Ff5zgOha3d0fs9aYUSlMNHE4vNxhHKTXH4sxynStbwzmhodsI2O+HVGou/7vffImffnJEkim+++oKnaZPv3SNOy4euHSqzSQ09chCK2ClW+HtTwzBqFl1jWtpVuDZLu2GOddJKVgp+zbDSUq35REnBXf2p1jSJFnORBwr3Rp/6Vub/Oxjszb+9g9Oz597NuQ66Jt19NTKyTXreO/y4saD+2RCmM9qNvj3HAvHtj5zsevTkguOC58AwujTp1B8GfHKuS4LbZ+bO+mJe/N5wxIQJQqrJAhLSzAYGzKgLImARaGxJXRaAShFb5ygtJgT+aZxTsWzsSSMo5zBJMESEPiCOLtLcHAdk0rjlgIIKcz+EyUFWwcT43AduHfJKeVh9Mxag9E04cJmi8C1GEf7ZJnCEoJ2w6TUSCm4sT0yxhFSstSuUK841CoujZrD7lFExbNZX6zy/jXT/6hXXZQyBg65Mk6/G8u1E2eFS6fa3N4zAq2NZdNPtx5xSWutCUuzIc+1SsdgxZm1JkKK+X7QrJ3cm2ck2BkJ/cs4jH+Bzx+r3SqDccLl2wMCzyLLH0+ImMYZ64s1VjpVtvYndFs+p1fqD01LC+Psrtiw4mLbFtXAMb2fxRqHwwi0SQ6MkmKeKPftV5fpNgLSPKdQcp6ss9ytsrYo+NknB0SeMeuKktw46luSbsPnlTMdXMfGdWy6TZ8/ftekAEhLUCizjgWexdEgxpYQximWZfHy6Y4RAwpBryQx2sdigzwPtJakaUHgWjSqHlGa4zuCJEmwhEBYmtwEoVOruiy1Au4cjNFKP5H78AwC8Bxj4DGaZChdPPKxUprkc9DYlqRWdZFaU2iYRCkbi3WCSUK94rC+WDOO9lGC59i8erbL0Sg2a7oUvHVpkdt7E4pcU6s4/P4fXWN9qU7FsxFCUKs4XNxozeeFDzJ8G04Srm0NUVpzarkxP1M9LzxsrnBxs8WtvfED1+cX+HTwXZvzGy12j6bYlrxvzhTG2UP/bduSmv14Q6HZmf1wGOE50pxdSoLKxVPtE8/dqvvc2B5Sqzh89/VV3rt6yN5RaBLn2z6Xbw64sz+m4jnYtkCmBUlq1orBNCFJc4QwRpa2LRGYw1GSFhRm2IiUhkBdq5h7YxLmCExqt+tYOI5FUArZAs/mxs4YaSmyWDGOMrKsYBym+K5NveJwNArptH0OBwkiLx5IUhelAFZIjeuYdPOHCTg8G9L85BlpVqbPLn2tIQgcfvj1dbJc8ZMP9sgLRdV30K4RoCnMLHGl26DQmm7DkFz742QuWv/GS0tESUGSKY6GkjAujDloniOkSXSPk5zeKGIam6STSZzRqBgS60LT561Li5xaafDj93YQEpbbAa2az8Zy7YFEcCPcgI3FGi+faXPQizi30eS3vneaa9tDRtOUWuBw0D85K9s5nDCYJCRpwWIr+NK78z8tbOvurNmSYt5jgLtGfY4teeP8An/ywQ5V3+HSqRa5gu2DCVnh89bFLncOIvLc9Iw+ut5nHKZkmTqRJqPLpAvXFiWn59kOIPmx36n0w3lAzaoFJh+Tes3htTNdEHBzd4zWNoFn0xsnZg+1LcalOYIRUQpc18ZxHC5utLmxOybPc+oVlzt7Ew4HEa2ax3K3yniSmj5DO6BW8XBsI/QcTVPSrKDT9BHAJMpYaAXUqy7j8NEiy4VWMJ91LbUDhDRmrG9f3p87o68sVNlcMoZ6Fd/GtqRxUNem/qoGDmfXGkghsC2BlCY9q3mMTDwYPz726/g1kuWKlU513gOYxvkJ0n2UFFT8As+xjp07vJ97ytVomnL1zgCldSkgrZjUmamZHS4/Y1rFFw33csw+Dc6uNbi5MybJCla6FeIk58Prxvzo9Gp9zk8Bc6a8tjVkMDFJsRc32w819NXaiH/6cYYUsFHzWWwF7PciXEeyuRTwwY2UvDQf9RyIS2+QWVk90zE+aDZRLXtQnabPhY0WV+4MURqSTNNp+ewchGgNFd/mGy8v8ZMP9gDBYjtg+/DufmBbkq9dXOD69ojFVsC//798iw+uHzGcJGws1xmME969ekheKLqNKq9fWODdyybd9NRSjXeuHJKU5pm2JXAsgZASx5Yc9ENqFdekY/o2zYrH7ckYpTTrS1UqvsvhIEIIyfnNNkutgI9u9Ok2ff7lXznDP/rTOxyNIjYWa7x+boHbezdJs4LTnRpJqsnK5ARdKJP+lZu+uG1JHEcynGT4nk23FdCouSRpQaNqeEk//eSQPC84v9HildMdbu6OkZZgrVthpxexfzQ160/N5cMbPS5umvSg5W6Fy7cHTKOMcxtNikLx04/3UVqz0DQcpP7IGECvLVZPzPNbdY80U+VMxsF1Tbqz9QCOX7vh873XVvj4Zp/At2lWXT68YVIKkrTg1s7ouYk4Jsd6hVrDN19e5sqdAUrBWy8tPDAZ7mH49W9t8p//o8vESc53Xlt55oScnzfunRs8z6STnxfaDZ/+KObdK4cEns03Lj0+Rf6Lhqx2Grh54ms/+uQGP3j57Ofzgp4TKl8OLdMJVD2YHiuVzqy1PrfX8qz42sUlPrjeY+9oSq3q8itvbTzT7/nKizg+b1y+NWRrf4KUxq06yRTthse59U2KMgq5VfOwLIHj2KwsuDSqLjd2RqYJkCvyomBhqU6j5vGOPGBcuszYlokv7TZ93r16wD/40U2EMG6XlhT4nsWGb1yd08K46A+nGb5vkR4qqp5FoTUV38GzLSqBzcEgourb5Llxvz+9XCPOFN2Gx7XtMa5tyNCNqsPRKJ7HG2oM8TpKCyw4oagFsKVA2oLTK3VsW2JZgq39CUpDq+7z13/lHNe2huSF5qMbPaq+Y5oSLZ+bO2PCmZO40tRdB6VM5Nc0zowTOIJzqw2G04w4yYldm/3etCx+s/saqXmhuFqKYlShGYwS6lWHKMkZjGMQAtuC/sgc9DoNn2bV5fxGCzAD0u+/scrZtUZZ7JlDWaNqCvhJmPLTT/ZBm5SGV890+df/0sX588epcVSvBjaObdFtBieK8hl2Dqc4lqRZdZmUiQHths/Lpzvz5/qqwC/Vv19GNGsB/+ZfufTYn9tcqlPkiu2DKc2awyTMORxEVHyH1W6Vc+tN0rTg5s4IpU1BrrSJIFzuVDi/1mI4Tri6NeDW3gQtFFJAXhhVuG05LLerpIUiTjLWl+u8eWGBMMmIU4XnZKWDoyFiX749JMsLNFAPXJoND0dK0tyIPZLUKNTfv3aIZ1tkWYHSBZYUeJ6FLYVxxJEWgeczjXNcp4xJd8zwwHGgKBTVwAVSE6lY3o/thmmyKG1SShoVsyYppWnUXMIox/eMS73S8NbFBbYPQw4HIZMoRSnzvvRHMfWqiVePU0WjanN6uYllCdJCUWSKNMtxHIdu02djqYpGgIZ2zeOTWz1yZRqpS+3gPkLyoyLEZ/Bdm5dOtemPYi7fHiCAZtWjVnFZXbi/8K5XXL73xuqTXWDHcGt3NE+s2T0KadV9WjVvHsNrWeKEq+i9SDJDkpmtPZ8HltsVZEki9z0L7ykU9V9kjO8hpFjSuMcNRgmdhsdwmrLU9hlFOZNpSprmqELQbfjs9yICz0EIM0hxPQvfM+4IF083+fG7e7ilC55tS9ySoHNho0Wc5rTrAXGSl061cGtvQqvusb7U4cx6h2++vDxvuP/Bj67zzuVDsrxg+2BKp6lpN33qucfplRo/fm8HS0p64xQpBJ5j49iCf+uvXmLnMGS/FxLGKUfDeO5Y+e3Xlnn93CL/449uzJ28o7SgVfc46BtB2tbBhKV2hSxXRKlmue3zye0hFc/G9xxeW2vwv/9fvGGaM7ni1t6obNjEvHv1yKwVhXmtL2222TqY0G36jKYp+70pUppUnkbVozeMCVwb17G4sz9m53DEjZ0hawtVLFEOnFyLcZhS9W2ElNi25Fe+ts7RMObUcp33rx+R54rAM0kcr5ztEiemedyqe/iexevnFojigitbA+IkZ6lT4a993xzsFtpV1hZrDCcJvVFMLbCp+qYx323683riWXAwiOiPzElmHKZsH0w4tfLwocdyu0qnGczdKM6uPd2AZHWhet86trFUZ2PpKV/4C3zlIaXgt39wlu+9vsJ/+Y8v8w9+fJOrd4Zzx7/HwbYk64tG+FjxbfJCEyU5BwMjPBuHGT/5cI+ffLgHQKvm8e1Xl/n+G6t8/dLSl0oA/AIvAJDlip99dIDSRgg9jlK00Cec+T4NrNKl3/cdFls+qws1lFIsd2oopfnpxwdc2GixvlinGjj81g/OniAafvvVFRbbFfZLwr/nWERxyvXt4fw13tmb8M2XV/jmyyvzOvNoGLF3FKK15jBMscoUSTB1TlQ6l0Vxzq3d8Zz0/DgIIR64393aHc8dqXYOp7Tr3kMHa+26P6+bpRTUqz8/AQcYAsbZteZDv+851vz96I9jLt8aAKa2aj3mPDJDNXD4zmsn3f2+9tIif/7xvkkaE0Ys8jzQrvscDswgLigdhb+qcGzJhaes39YXa6wv3hUOvFz2O+69vbWAhWaAQDAYR8iyyWYI0uB5LhLICuPCVpSOqJ2mj+85WFKw15/iuRYe1rwHJmUp3dWC82stskJza2+I79mslOkRw0k8jwERAroNF8t2TCLeCCrla51GKRKBV/5srjQbpWCqNwwZjFNAoNH4jnUsOUbyl79jBAyjMOVP39vh0mlzjV++OWRjqW7OFFKw0q3MHTL3+1OyoXnySZhRCywunTHX9e7hdG6cUSjFQidgoR3guRb7g5T/zV87GfW4tni/yYaUkq9dXCydFC1jwFLWuwf9kGaZ/qW1otsODMFUQLXi0qh6NKoecZqzfTAyBCohTgwhAb71yspDnTaX2pW52znAzZ0h0zjnwnoL95gb26P6ZJdOt9k+mKIx9foXMa2sUXVP7Gn3Ctd+UVAoQ8A57IdMo/yBTGFLMicRF2V/ygIoxRcPc4WewZbl4yhdcjEPLrTGcySWJVnpVBCluOLcRoPrWyNWl2sMRsYkohY4rLs27brH5Vt9bEtRC0yfwncNWTHLFGleGEFF6bC7vlhnsV1hrxexuVyf98/2+yE3tkcA85554Nl885VlLt8akOYF58IWYZRRCRxaVY+tgwnfeHmZT271yQuF0iZV969+/wy7RyGHg4jVbpU0K9g+nNKoeiilsW3FG+cXHvkeze6VesV9ImdaIYxZzoxwVQ0cbEvOezEPQqvuzXt2ji1/rkLRF/hqwczBlEmJwtS7rbr3yFprdr1uLNfZXK5zark+nxU+CPWKi2UZcRcYkv3x3k+j4pJkxTx9/PxGi1Mr9Xk989GNHlme0qi6VAOToOk6Rgjy43e32TqY4juGPCSl4KXN9ol7oho4VF1jOKKUMb45vWIS56U07rjtRsC5tSYLzYBcDZjEpi+XF4qrd4aGYGYZsalj2whhZpWVwPxex5FoIM2NmZAlNSudCqsLdVo1j0mUcjhM0Lma2508aLW1S1fgWsXBdcyMZBJlJpmoKJMlhD6RJj5zBK8FxvjNcyW1wGGxU2ESpsaMT8BgmvDymQ6//NY6K90qb39yMP8dozA9QfIttObl012u3hmw2zOGXR/d6FELXC5sNBlNUnZ74Yn6815c3RrOU4mu7wxpN7yfSy+l4jvza+cFnj86DZ/OQwT/jZqHOJjMy48nPVc+CO2ay3KnSm8UA+a806i4TKMM3zUGDq+d6/Laue78Mcfr4f4o5rBueu+39sZUAockKahVTCq5Z2ek6SyNwJDcd4+maA2eK5iGoApFkhbUqy7n15tGLFaSmC/fGSC1MXp77cICr5zucGN7SKueMpqa9DqlFUaDYur3cZhhW1ALXJrrPjdLbobOZwTRuzWaZUsjelcaciNm1WiTZmZZCCnQSuO5VimsyMkLU5tZlqBRdUgyk84upeDf+LXz/NXvnuFv/1fv0GkGVHwHjabb9I1o5VgNvdiucGGzRZyYdMU0K8qkMYtX1lpEccaNHcm4NAd1bEFewFInoCg00zg36eyJUZd06j6riwG/+o0NNpfrvP3JwXwuGqU5Cy1/ngpxHIXSFEqTK+PG/vq5BTa+V2Ntscbu0XReN42m6Ty1Ce6+h1Ep8N3rhbTqj5+7ftXwoFlzGGds7U8AQ5StVRz+2vfPzlNkq7bkm6+c4+Obfbb2x6wvZSx3Kvz9P7pmBOJKkRd39zEhTR3quxZpXhDYkjDMuVdz5FjihPDjOGYE7tl/Sy0iQoAjBXlpWGe7ksCx+e7rKwSeQ+BarC7UWF2s0B/GaGBrb4JwBW+cr7O2WMOxJINJwn4vpD9JGE0SFloBUgoC3+HXvrnBXi+k9/9n789i48rzO9Hze/Yt9o0M7pSoPZV7OrM2l11lO6tst9suN6p90W4MBhdtP/TDPI6NAgwYhgH7rRsYDOCH8eDOPPRUT6OB62vDdtnTbtvl2rOysjJTmUqlVkrcydgjzn7m4R9xRFIbtVAkpe8HSKREUYo/yTjn/Jff0h6g2w8QxTEGXgQ/iqFAnLvNjGXhBREcU8PlW00RrJ0R+1yvnq7hwyubacegibucz++2+6xrdjyH88fLaVdJSRIJ4ddW2ljZFGekzjD5XFUkNDsiGXNhuoCF6QIAoNlx8dffvZbOsyZre+tIOXqPRLGIzRjtdxazBgxdQXeYlJLP3J4Xaqr8WIUdH8fVW610rnl9pY3isCgc3ZumKun7JEkSvPPxWrpncuVWC8Wsma5XN1qD9Jnb7QdYWu/eMwEuiWOsbvTTe3er6yHniMQeWZKx1hAxZ6Otf0kGVDUGYnGNR3GCUeHz3XcGCUC5YGFMkfH66TEsbfbSn7vo0KnAsVXEsYj7aLbd9GsMggArm4N0HqJrCn73N17CeuP2c+DzL0+mr/Wt719P5ypBGCNnGfjMMJ5m4Hm4sWohCKNhEWaRxCUP4/RmxrPwPJHwJEli4JWCPfyaROzfqNC1bah4+zNzePlkDfmMjo+vN9Jkyu4gwI3VbjqnVmQJ2byaFofSdRnrWwOoqjr8mmSYugrHFOcR5ZyZvq4sS7h8s4lqwUQUi3XPK6ermJ8sQJJEIZnvX1hFZvi6pqai2w9wa72HuXpOxHEM53lBEOOnn26k5zfLmz0Uskb6M68WrR3n+VttN30ui9e6/zN3YbqIheG+7KXF5o5sHvMJdtUp5oy06IuqyJgeyz5yzESrF+AL294/9ypgcBjVihYcU4NlqgfWPelxfHhlA9dW2tA1USj5b753A+cXjlbgyPGFDPDPOz82pt2vbP3RUM0evfdTLmOh591O+BsrHL3EpnxGxxdenkyfd2PlR0sqe3ZPWA+JMB61DpNQLdjIOtrwwE/HZnMAP4hgGgrGyjZmx7Io5Uy0eh4qBRubrT5cP0JvEMLzQ1imihMzRXiB2HTM2joytoaz82WsNwcYKzoY+CGCKEYpa8AyNUSRCNDWh20akYh26vPjOeSyBhpNF34Uodv3hwG94h2lKDIUiM3UQkZBLqMDEJu+4rVVBGEougAAkOIYpYyJrhcgihPIgajU7wYxNFlU5LA0kYnuRzGSGPA8cQhqGCp6gxBTtRwcS8Wb58bhBxH+/oc30B+EcL0AEkSF34EXoZjToakKSlkDhawpqnvZbRiagks3G6JiR8fFWnOAnhtgs+3hK2/OAdsOC5NEBHh0+4E4BI8TzE/kkLV1JEkCU1fTLNRRO+V42yHbymYPN1ZE9S5JkjBZy6CYNWAa4pKK4mTHDHd7tYJO38fF643hIZOMs/Ole27AL6528KOPVpFATBBfPlnBwnTxiWV709PV6vpYbw7EZp0f4+R0Fq2eh4myg1zGSLvw6LqCnKMja6kwTRVz4zm8cW4cGUvHZ16s4y+/fQXffu8mOj0RtB2EotrC6NC+0/UQxgl0TbQdjSMRnOF6EVRFhqKIDjXjZRtrzQFMXUG1YKE3CND3I8TDRIo4iRGECQaeDMtQcXK2iM2Gi7GKA3MYAF0tWdjY6qMfxLANRVSN1VSoio6BF2GsZEFRFFTyJlpdD1eX2xh4AWSIwIl6JYOZ8Sw+vtZAtWjiys022gMfjZaLOBm2FDY1zE1kMVXLotkVXUeiMIE0rGahaQqSJEHG0hDGcVrptzvwYRkaZsdzODFbRKVoYbxk4/RsCf/07i3EcYLjU3lMj2dFIHzGwJsv1B/r+op3HcY/iQC8nf/e7t8nGC87MDQFrh+J+9A97ifdvo+PR/ceRcbZY/e+9+ynuXoOGUtHFMcoD7sLPQsmqllcudWCH8aIYtHBKmuLdvZnj5extiWSGdp9UfYtGv4cJFmCoSvIOhoUWbR6LDg6xssOMraOV05VMV5y8MmNJpJEdJkYVdR495M1DNwAlYKNJBYtlCGJw4PRsyvZ+TiCbahp8oMkiY2fKBLj8QLRJcLQFOiqhDiSIcvioE2KgVrBGlacU6CqCnquj3opg698Zh7tno/5iRy6/UAc3uYtFLMmTs+VsLbVQyVvpZW4kyTB/GQehawFSGID8ux8CZoq49yxMrZaLsIogqoo8IMIM2MZJACCIMJY2UG1aMHUFZQLFt7/dBONrosoiuEO25e2eqKCr+aL7iUXbzRx+WYbpq4gTgBFlpFzdNimCkWRESfJ8HuaYLYuDrsTSRwqjKp/BWGEYs7AzHgWGUtHOS82ln/rF0/hhx+tYG2rj2rh9mQ8ihMsb3TxP398c9jeWsZrp2rIZw1UC49X5W73fSV6wH1G1xX89ttn8O4nqzA1Fa+fPVqLaDp6ynkLv/sbL+K3fvEUvv3eEn700So+vdlMNwxVRQSezo5nMVfPYa6ew2w9d99ObH4Q4fpKGx9d3cKHVzfx3ifraHY9/N0PbuDvfnADOUfHF1+dwpdem8bxqfyhDGQk2i1JEsRJgiCMRAcDQxzom4ZIgh74j75hKIsGlYijBGEUYeCHOD6RQ7sfQlNluF6IaNvEMkkSJHd5nsyOZ8UcO4pRyhl49+J6erhczt/uJLF9nul6IWRFwkZTHLjapopTs0UUcyaSOMGt9V767++eOz+K3c/B+z0Xx0o2dE2G60UPDIQ7aKN5VHfgI+cYdw2g2KtjkwX8n3/1HN67tIF6xcJnzk8++C/twfxEDhlbdHIcHbrTg01Ws1je7CMIYqiqjCgWzzlAgqzIUKIIiTQMkNBUxLGowirLCbwwRBwBmhJjrOxAU0XFNz8UFWzDKBGFFiQPYSyChUpZA9eH+1fNtgiQCEPx2jM1C5AVeF6EhdkimsMDvoylYbxkojcQXUDXGxIaXV90EpEBx9RRHgaKnZ0vYbM5wPXlDmbqWTQ6Hrq9AJAB05BxaraIvhvC8wK8M0zEBESAytpWD0GUIONr+LlXp2DqGnRNxmutcZjaBgZ+iLytQdNvv//PHiuj1fXQH1b3/ujqlgjEkkTXrr0YeCEuXN0UARUS4Hphej+olmy8eKI67KacwfpWDxeubkFVZNRK2+fxInDFD2LIsgTlEd/+//jjRXzvgxUAogrov//KmR2JHPeiqcqhr15rm6ILTavrDwNrnq8grRFRvMeAH8bpOn07XQXiRAT9jaKvVAUoZS0ROKzK2Gj2EEYJwkj8GRLRXde2VORsDUGUoNl2RSftKEYURmmglQSk698EQNf10mrPhayBU9N5eEGMxdUeZNXH1aUm8o4pCizFcfr3LVNF1tSw0R7g+EQBpbyFjeYAE1UHGUu/45leK4oufAMvRD4jEjiA28+3vhugnDNx+WYLCRKMV5w0ya1WtCFLottmdrhHt30dLOZQt1/rQXtvS+td3BzOX3KOjlOzxT2tFxamCthoDhAnCaoF64F/Z3osC9tU4QcxynmTSeb0WHa/rx/0Ph+9Xx1LQ6cnKlVbpnrPfW5dU3BuvoxGx4OpK3d0fDMNFSenC+gNAuiagsywe/fI9jm3IssYL4uCDHGcoNOroOeGKOct5DM68hnjjs5Tqiyh50YwDFG0ZbLm4Ou/cBLfeX8p3bOMY7FeiJHADyL4foQwjnF2voRiTkezE6BWtrGy3sNWq4+uKyro9wYhXD8CoMIxFRRUHb1hN7GeG8H1Q2y0YpRyJlwvQt8LIUEEYMXxMGBVEpXwFVUEpViGipmxLDqDAJutAeI4Sc/8kmGAthyLbmuaJqqK52wNp+ZK8HxxRhPFEa7dEl33kgSoFsW9tlq0MDueS5PA0u9xtHM9OFXNQBp2PIuiBFttF2EYwzZur2ke9D7Z8ecJ7vpcomeL6ApYRqsnunA+znxMURT89tun8IOP16DKEl45UcPffu9amuz10snqfZMqNVVUry/mTdEpr5ZBOWvi5noXvYGPW+v9NKB7biKHYt5AzwtRLYozpKvLbQRBBD+MEIaxCNqUJFSGe+0bzQGCOIFhiA4b15fbaHY9xMNiiyIAOoSpxwjCEK4fIokBVZVQysvIWAZKWR3NXgBPiqCqEnRVJKgnSCBBwljJgh/E2Gi6iJIEUSQCRfNZA6osKnGbuoLVLdE5vOcGUGQZjqliopKF54dIIJLPljb6+MvvXMNY2R52Y49gGBo+/1Id7Z6Pv//BDXQHPj5ZbKLnBjg5U4Q/7I46Cp4dJc6sN/qi87mqIEwSSIkEVZFhWxqCUNz3agXRvVyWRKFNQBS8BESSGCCScJsdD6osodX10yBcQNw/Pr62hd4gQBInsGzRuWmUQLT7/jNZzWBmLIuN1gBTtQw2Wm5aVONun/+8utue1u45pa4pODtfwkTFQd8LkbE0fPu9W9hoivP4MPRh6AoUWYYiA8Wshe4gQBSJpCVNlxD5O18nZ+voDjyMHj2jWN1RAXRNFesKGYCqAkkiQZIlqLKMREuQsVRkbQMzEznUSjY8L8J6U5zrN7oufvzRGvpeiEbHhW2oGCvZuLnaga4paHRcKJKEOEqgyBIsQ0He0aEqMrbaLpI4hmPqcEwdsizOMBstUWleURVMVGx0B6IbbJwkUKXbc25FkvH2Z+Zw9VYLjqViYWpvhWN2K+bu3JM7M1dGrWine50JEnx6swUkInD97Hw5nf8Xsia+8tYcbqx2kM/omKs/XDEVRZZwZq6MzdYAiiyjUjAhSZJIrvcjvHiigt4ggB/EKOXNe3Zn2G9RsnNe8ST2eZ8nya7v2e7z/DvWA/f5/kaJhFLeRN8NIEEkIOuagvVGH7qmwA9NdAcB/CCCripQFBFjE4QxshkdrY6HMEyQQFyXuwtJLG/00oItxycL+MwL49hsuxgvOfjWD67B82IkIsUZKxs9RMPNDU2RcGI6j6WNPnRVxquna/jLf7kC34+gKBJ+7tWptFALcDsOIY5FNw0RuxBBggRVdVArZnDh6hZsUxRX/eGFFWw0BxgrO3jlVA0XrzXgBREqeQuFjI7eQJyBZCwVFxdbaLZFV6BiTsdffftK2nFQUSSsNfrDojgSbEOFM0zctAwVP/fqFG4M9xROzxTxre9fw8pWX3Qim8jDNlRstl3kbB1n5ksoZs10L+T6cgu5bQkUp2bKaUctRRbxl1eXWhh4YZqAMfrZ3xEPEMUYZeLIkoTTs0W0e356n9iulDNxaraInis6Az1MkYnpWgbrjTxaPQ+2oT1WYcrdJiqZ9F5WzD1eB6H9jsvaL64f4sKVLYSR2FM+PXv04j87/QDrW/10TaypR+9caGXRv+Nj8jMQW1AtP9rc5yBNVTMi4Q+iqNF45Wh01dnONjWcO1Z+7HOQw3ti/Yw4MZXHB5c3sNbowzE1fPHVKQy8EEvrPbT6PmbrORSz4oFaGCYBtHs+ojhG34vQGwRodj1stFyMKTZePFHB5ZstxHGCq8strG72UCtZODGVw3tVB42OB98PMVYWByV9LxhuotqwTQ1rjT5MXYVtanjz3Bi+/+EquoMAfVcc+OYdAxvNAQxDgamqmBnPY6vjwrFU+IGostH3AszVs2j3A7R6AfwghK6oKJcsaD0Z+YyBxZUedFXCVscV1SBkGWfmizANDVMFS2T7bimQFNFC8J2PVzFdy+KLr02hmDVxc72DKBabiPmMgY3GALKUYKxk4dhkAc2ui2LWRDFr4q3zdbzz0Squ3BJV/BRZxgefbgyrcKvwgwjXVtsYG056un0fSxtd9N1QHAY5OjKO2EA6PVeCIsu4eH0LW20x9nxGVKOZqGTgBxGWN3q4eGMLGVOHOlwU5R19R1ZnPmPg+GQel2+1AAl46cTt9lHrjUE6gQhD0Y1lonL3DPx210Wz68EPYxSz4jV2P8D7ro/3PtkAAJxfqMA2VXx4ZROtro+pscxDLwxp/6w1+gBEQtd6cwDLVPHCQhnXltpY2eqhkjcxVnagazIabReOpaFSsPDa6TFcX2nD8yNMjWXw1gsTMHQV73y8inZPVJJf2uxBH7bwlGVp2NklwfuXNzBZdaAqCnQVw4BsBYosss8nqhn4foSN9gDlgg1VEW3J4ySBJIm2xIYuozPwoWsKTs0X0OtHaPcD6KqCesVGp+dhs+PBkyXosgzVFIHkcRLCD2N88fwETs2V8M5Hq2j3AzTaYvJTGCaHnZop4cWFKr77/hIURXQZ8IMQmiJDlkQHnvl6HoWcibl6DleXWmmVi3xGVMi0dA22qeDFk1V8dHULAz+EbYjqVuWciWrRxpn5Unr4e3quJCqZSMBnz0/sqb3elVst3FzrIMGw3XjBSq/HKIqxtNGDH0bQVFl0RFKku1b9fFiuF2J5syeqGJdt9NwAcZwMD8HE6+8+aLub9ea2e08UY6vlPpHxPSxJkp54q/bD4Ou/eAL/8t4t0VZYAqp5E5qq4PRsCf/L2yfx//7ri+j2fWy0XPQGIoBSViQ0Wi4WpotY2epBV5VhBycVQRTj51+dQiEnKkafO6YgimIsrneAWIaqSiL4SlMQxzFeOFZB1w1gaArqZSetijBVEy3qXT8U3VtyYsNRkSUUsgYcS8fADTBedjBWsmCoCjw/Sjf9HEuHY+nIOBqyjoEgikU3ipyBvGNAVeVhZQcb11fa6FoBbEPF2WHFrZwjOoxttkSXmqyjYWY8h4mKg1bXSyv/jdriGZqCesWBriv44YfLQAJM1nIwdRlBFGNqLIuspeHC1U1cvtXEekvMr3pBjCiKEQTiAGer7WLgRZir56ApCmxThetHsAwFk9UMFqaLuLHSQbPrY+AFmKqJA4e+F6QtmltdD+2eD8tUxRwgDPHB5U1UChb6ntgIs00Nn3tpEn4Q4aNrW/B80RlprGTjex8sp5V2wjBGzw2wMF3AymYfrh+KLl+7JvDLG11cvinuceePV9J5xnbVogiWGXjifbSXFqa5jI4vvjr9yO9vokeRzxj4lc/N41c+JzrUxLFoOawPu/g8DF1TcGK6iBPTRfzazx5HEMb44PIGvv/hCv7lp0todjz8H/98Bf/HP1/BzHgWP//aNL7w8uQz07Kbnk26puDMfAnLm+IQJJcxIckS1rf6kGQFtiSh7+2ulfdgiogzEkmligggMDUNzZ6PE8Pnn2koeO10Dd1BCBkSTs2W0oIE20nbAiL6w2pTlqFi4IVo9/10Lrl9nmnoCgZ+gG4/gCyJdUnPDXF23kGSiA3eds+Hokj3rRK7V1O1DC4tNhHHCQpZ44EdK4tZEzgiReFG86jHlSQJHEvDK6eq6f7TkyBJ0o5uArQ3X/vScfz08oYovKDKyOcMtDo+gASOqcKVR9ev6Ojr+iKIWlUBQ1MRyQk0VUKnLwI0NUXGmdkSLlzdRIIItZKDgWug1QugyMDUWAaXbzXh+xFmxzPo6yqW2z2Yhop//fkFJJIsDoqTGDdUBYWMKQIRFeCdC6uIYuDFExV878NVeF4MTZFwZq6ASlFcv/mMgVdO1hBGIjH6H95ZRDzsCGDq6o5qoydmCrh0owlZAmbqWfT6IVRVHBA32x4KOQlhJOPcfAmLq20YuoKZ8SyOT+XR6YkOvS+eqGBtS9xzGm0PF65uot3zRTW9PSYSbTQH6TwdibhXiv0a4MWFCqaHVcy9QHRKnRt20AmGyS9hGMM2dRRypqiEKQHqI3S6XNvq49vvLaHbD6CqkljvrXWe6OHoQbNN7chUwdsPzY6Ln1xcw4UrW5AgDjW9YFhAadgtxzA0xHEMb5i8KSOBIolMrhgJPDeALMtAJIohKbIIyNNVUTgCEjA3nsPH17ew3hxABmBZOhxdQavnI0mAXEZDOW9jsz1AFIngMF1TEUVAIon9hVHykGVogAw4loowEl03Rol6Y0Ubr5+rw9KVNLHBNFTomnzXeXcha9zRgWWr7aLV9TBednB1qQXTUGCZGhxLw8ywautUNYPlzR7CKMZ01oBtapioOmj3fJFYOiwS0Wi7kCQ8sNrryrCrGCAqQw+8cE/vS1mW9rRfuN3dOm0/SBjFWN4QX+9YyX6urxm6bXpMFIsRwf7WjvdFs+Oh0XFhDYMiR13iayUbtZKNviuC+rKOnhbPWWv00RsEyDl6+j71w1gEMScJclGMtcZgx35VrWTj2GQezY4HWd45d7/XHLxecdDq+ei7AVY2+yjnTZw9VkZuOBdodETC6LWVDgxDQSbUIQ3PS2olC2+dn8AHlzfQ6wfougFaHRcfXN5Ad+DDUDWRiHllE+eOV/CbX5pAxtLx//nWRfTcED0vgjoMuvKDeBi8pqYdAjZaLoIgQrPjYb6eE10LDR+qokBVJWRtHX03hK4rUGQJSRwjiGKoikhiKeRMmLq492RtPQ0OlyUZqiKhkNXhBTG8NClERd4xkamq6PQCfHJDBJUBCQZeBLkp4dyxMt48J6oLW4aKatHCekMU/yvlDCyudoZnPSbGy/YwMdDCRtNFu++jlDdRzBmQJAmGpjxwD2RmLItrK20gET+rg+rUTftr1Bna0MU5gWNpOwL31rb6IqAvY9yzg8e9WJaOL74yBUDsY48SOLwgxA8+XEYpZ6Jedu5I8P/Bhyv46aV1mIaCkzOiK8tkRXRwKOZM/ODCyjBYMoZjq1jd6uPqUgvTtSxeWqji0mITmixBNVQksXh2RkmCFxYqyDk6Lt3YQiErAgGjKMHSuqg4HkQxFAmYm8xjs+WiWkhw5VYHHTdEFMUwdRVBEIsiTIqEStGGJIuvSZYkFHMGXC+CGwToDyL0/QhvnBnHe5+sD4M9E8xN5NDpBei6PoqKiWrehOtHopufLCPnaMNOigZU2YYfhggCUQBjcbmNiTEHOUfcC6MkRncQ4sRkHt+1dOiagr4bod0LEIYxjk8XsbjaxUZrAFmSUCtasAzRkTxnG7ANTVRXl8WZQjFv4MZyF9WChiBMMFPP4vIt0Z2xWrQwXRNzqOlaFleXmmh2PRSyBjRVwVbbRTBMDAGA7iBIK2drqiist/39Uy3a2GgN4HqRmBuWbZi6mnZwNHQVvUEDQRgjCGNsdUSn96MWtPikZW0dpZyJrbZIUhj9THbPKbevq969uCa6wiSieJhlq0AkwdBU1Ms2LEtFtDUMfE6AjKUi7gwTJCNRDC5OEhi6ijgRHWMSALomwdRERfAgjGEpCqIkga4qMHVlmCAJjJcdTFazOD6dEwkUkoRL19fQ7HqAlCBj59Dp+2lXPVmSsLzRB5BgvGxDAuAFsXjfOhomq1lstty0E3AuIxLIixkdsiJjZaOfJh2qsoRBEGGsZIuilbKEGysdkQSfNzE/lYeuyjvich7V7j05TRVJqxg2G/ro6lYace96Edo9f8c1UcyZezq7v5f09bbZ/u+buopW18PSeje93z/twlbTtSyuLotElrGSfaiL5RxGo2t+cVUUXhmd549UChbWmwMM3PCu74ftbFPFmbkSLl5vABJwfDKPa0tt6JoKTZHx5rkaVjZ7GHghZFnC+eNlfHB5C2EcI2vpMFQF680BMNw/6PY89DzxBjd1CX03RJIAN1c7OD6RgzJMBFGGe1mKIonMZgDxtg4OWdvA7FgOPS9CNCxAs7bZRwJxb/nkRhOSJGHghShmTUxWM1ga7QUUsvCDCP/07i3IMvD2m3NY2eqjXnZgmSoMTcGxyQKOTRYAAGuNAUp5K00AqZcdXF5qDeMuFHx4tQFjuO9xY6WL8bK43yYJ4LohVEXE9xiagpdPVXFjRSROT1QdTI9nMTvcG0ySBMcmC2j3fTiWhjfPjWO9OUA+Y6Rn9qahpnshL52o4vsfriBJRKHTXEbHymYfkgSMlxzkswbKBQuNjodizkzjLgDRxac7LJyVy+iYqDr4yaV1JLEoqgOIQjWqIovOg7sqzNytA9RemIaK41MFrGyKTiBP+ln9sPPPe5mqZdLY2VL+yY9zv4hipmIPMI4TrDcHR2bsI7YhisgHXghJko5kJ9rTxwp3fMzMPf784aCdnC0/+JMOGU1ToCqim7emyVDko1kUx/NF8rwkgUkch5UXxpgdz2KsZEFXVQRhjKlaFrWiDUOX0wMa0V5XvBF7ro/N1gBSIhIO1rb6yDsGFFnC62fG8PJJHf/jh4u4ttSGH0b4/oUAnzlfx5ffmIEqAxeuNhDFMTZbLrK2gZdOVJCx9LSFneuLCnOVvI1S3oRjKlha74rD3+Em4LljZeQdAydm8vjo6hYSSBgrKTh/oowX5stIJAntXoB230ejOYCkSKjkLaxu9VEuWJgfz2NyLIPl9S5avQC2rmB+upC2+rq11oVhKGj3PKw3+gjDBFttD/Wag7xjIBi2AtVV0a69mDOQz1rDwGgZqiwja2uiG0DPx2dfnMALCxXoqqiW83//b+9irTEYVtyW0gqBXhCJdmihKKmTtTWE0ajrAHBrvYtSTmSs14oWHEvD3EQOtaIDRZbw/qcbGHghuv0AzY4nEiQk3DXI8jMvTuD8QgWyLFqsjoiWUrcZ98kubXT89AHe7gU7qqWO/N0PFtHpiSzB5a0+jk3k8MHlTQDAtZU2TF2976Senp5RJnExZyLr6DgxXUAUJ3BM8V5WZBmT1QyOTebxmRcm4AURZEj4q+9eRafnY6vt4tpSG+cXKjg9V4KuyZAh4Z2PV5G3dASx2PySIaM78KHIEmxTRd+LkLU1yI6OUs7A8akCPnN+An//g+vi0DaOoeuiK4Yiy5itx/jKm7P4nz++ic2Wi/evbCBJJHh+hMWVLqRhpZZEkaAqCsJ4eA3FCdwoRJTEUFUVSZIgaxuYqmUwX8/B0BTMjefwvQ+WEEYJygVxjb12Zgw3Vto4d6wMx9KxtN7F8mYXoejsKxZUkkj2MIZVOnw/hqbKmB7LYKLsYGmrD1NToKoyfvaVSaxs9rC2NYDrR+L6lLCjEsX0WDY95NpLhYrF1Q6+89MlNLseeoMA6w0Xc/UcXjhehqmruHyrlVYYV2QJ546VYBraY3eZiOIEH13bSivr5NwQr5ysIhhuMD+M3Znsxh6qe9Le/eU/X0lb28YAVEXCV96aRT5rQNc0lHIGHFNDY7j5nXMMeH6EMIqhyBLefnMOGVvFd95bguuLDY+b613kHB23hi3P4wSYKGeg6TJurYpkRFWVUZ9y8NqZsbQKr64q6fNCU5W0SpIfiI+dnS+jXnFw5VYLAy/CVnsgumjJMjKOjnFTg2kokCChXnFgWyKBQ1TQE618dVWGF4hN/NH7/Fc/dww9N4Bjanc8F998oY5zx8qQZRmGrqQdhPxQfP27K1S2Oh7yGQNZG5isOZir55F3xKbtxWtb2GgMMIq7imOxGewGIUxdQqMbI2PqMDQZ680+VFXG9FgO+YyOKIrhDRM+Zuo5vJQ1REUsSXzvbq31IENCo+MCEIGn680BwijGh5e3EEQxNpoD/ODDFbx1rp5+nWMlG+ePV9Lvvzy8/26XsTQsbfTSCubrzQHOzZfThW2z4+J//GgxbbPnBRHeeqF+x3tNVUTHku2vRXQUyLIEQ34yzx5NlfHKqRpeOVXDf/jXL+DdT9bxP360iO9/sIwbKx38b391Af/bX13AiekCPv/SBN44O46pWuaRDzKiOEkTu6Jh1UxFERtTGUuDZajs/kGP5PRsCY6p4cMrG/jhR6tQZBEk4Bgaem6AayvdHRW4ZAk7Kk/vJgGoV2wM3Ai6Lg8Dw8UzO0kS/OwrU2j3feiq6LzVdwNIkrSnYEFt2N1zqpZBGMXIbusOsX2eKUmiWpyhq5ASEVA2St6SJODUrOguqikylCdQoVoEkD/a/Ph5sbzRSyuQ755/0NN3faWLck5HJtShShFsU0M1Z0GSgPWWKwKPYiDwPXQGCSRJXPRBJKGQ0RAnQByH2Gq7cCwdvhRhZauHX/38MXTdAI6hQFFVtLs+MpaC73ywgt4gQJwAH99oImerqBQtqIqM9ZaHX3xzFlGcoD8IAEgi0EmR8TffuYo4liAhwdXlLj5/fgw9N0Y+o6OQtdJ9JlNX8dKJCoIoBiDhylILtWIIWcKOSnMA8LWfO4GNlugG+pNP1nHlVitNAFttDBAMJ/h+EOGFYxX4YQjH0jE/3Hsb3TcmKhlEcYKL17aQJAlsU3Q13Gvi2+59ODeI0gPE1rbqsKos7mGjMWYdDeeOVRCEoqZgkiTDThx3fq0Pstbo49pyG91h8R7bFHvGvDafHX4Y46+/ew1Xb7XQ7Hri2WnryCFBGAOOqaHvhbAMFZauoO+GGLgeum4E01TQ6XuQJQn+cP0qiQbbIkBRVTAznkEQio6S3UGAs/Ml3NroQVdl0Tk7jlEqWFAkGdWSqGbZdVX0hkkhhqagkDWwMFWA64VppyxNVfDmC+P4uZen0OgM8NG1BrbaYr/LsVS8uFBGxhIFVUSFzr2vS1tdD58uNgGIZ5OuyViYKkJRJLxwrJzORxpdD8WsgTgWAVFhFMM2Nbx0srqjG7E3PD94UMcLQ1PEWQCGXY4OqFLtvVy+2UzvPY2Oh5cWKk9kjkRH2/Y9uO3Pre4gwCeLjTQwKo6TO4r0iEDP27/faA5wbakNQBQYkyUJpqHi4vWtdA9qNFccff654TV5cqYI1w/vmLvfaw5umxpeOlHF2fkSwigWAR3Da7vT93HpRhOA6H6bc/S04NLMeBamoeHMnIX5ehYXrm2h3fXxd9+/gZ7rY6M5gDIM1nQNFUEQ4b1P1vGLb8ygkDVwZraITxbFfqwkyYgBjJUcuEGEXt+HH0QYDPdRAaDV97EwlQeSRKxlJAmOocA0dSRxjOOTeYQJIEF0UjZ0BeePVXBro4v/119dQLPrIQgjyLJIQEkkoF5ysLLZBXI6Wh0fQRhjcbUDSQJePVXDB1c24IcRoiiGqogA51OzpR2H+/MTedRKNi5c2URreA5hGSp0VUGnH6CUUzAzlhOJvbH4d84fr0DT5D3di2slW3RIHH3d9MzpuyJhaHRtR1GyI9lxbUvMQQFxPzg1W3zkABPb1ABJFC/abHnIORpurXURhDHmtnWMe+fjFfzDO4sYuCH6XghZlrEwVUjPp5pdDzlHR6cviiktrXXgDrsGbLRcvHVuHGNFEz1XVAyXJZH09LkXJ5AAuL7cga6JRAZFkdJ5erfvw7FFwOPpuSLOH6viRx+vwDZ1fP/DVQz8CNEw4LFWtFArOQAczI3HmKw5cCwdZ+fL8P0I//m/vgtNEWuNxdUOvv6LJ3HlZhOXFpsI4xhb7QFUWUE/COHHwNd+fgEr6310+h6S4ZypUrBQzJn45HoDq5s9bLZceEGE+akcJmezWN7sYeCGuLbUxq21jjhzURXkM+Lc841z44iiGOdPVNAfhFBVUagPuL2+URUZs+M5VAom5sbzWNrswdJEsL8sSTg+VcAvvD4NN4jFmfEwQKpatFDIioSw0XtHUaQdAVT68Jx19PzZfQ/RVHm4hrv73DBr63j5RDXt1rzZdNFoezi/ULlvnMTzYGG6sOd57cdXN/Gt719Hq+tD1WRMFy0sb/TSLg3KcM/8nQurCMIYvh+hkDHhmOJ5G4QRgjCGpikwNRnLG33oWoI4jiHLMhRVQhKLeT8goZg1MPAj+EGIUt5ErWBjbjKPz71Yx9J6D6oi46efrCMIYyQScGutOwz41QBJEomNkgRZAsIoQasXIEmAV05W0en7MAwVGVtFdxBg4IUY+CFiJKioMn7tiwswNQU/+XQdcZggGe4J1CsOVjZFwkc+Y+BXv1CFqSs73tNPg7Yr3kd/ymuMB93vn4bRvYPzikdXrzioFEwkyZ33VVWR8cKx8h1n8ffyxtlxnJkrQZZlDLwAV261hteFhPWmh+mxDFwvgmkoiBJgZjwDPwIMFaiVMvC9CEESQVMl/MtPlmEjgSSLAhRRFCMB0O77ePfSOk7NlCBBwkZjgJwtCkAiEQVOxoomZEV8LZqswAsjyBAFJBZXO0ggksP7Uoi1Ri/t2rneHEBX5XQvoNv38d0PVob7lcDffv+6KBAriUDZjdZgx9dfyVvIOTqiOIE2PEd/6WQNcRzD9QP84MNVhKrooGXtOkOoFMW83A0imJqCk7NFvHZ6DH4YI7cruL43CHBtpQ3LEB//5EYDn39p8p7Pv4XpIqbGsvDDGBlTw08/XU/jNbbaLqIoRrVgYaxoo1IUBa1HP+usradrLkNT8NG1LZSy4v3S7HpodLx0z3LghTg582Qq8Le6Hq4P54vLGz0YmvLQBS6ehmLWxMsn9TvWzIfd7mv9KN4/bUuDY+pQFQWyfP+Y18NqfuLOZ+ZE5YhUf7uPrbZ70EN4aH03EEXF5J3dAo+Sds/HpeGe98ijxGnzhHuf9QbBMIhfVKH+4YVVzNVzOD6Vx6mZEq6ttEUGZ8VJb86+nyDvGGhLPrK2Dk0VSQDFnNhIGbUTBIAoTJAkwFZ7gIlKBqqmABKgKDLCOEYUJLAMDVEs2pJLsoTuIEAhIxI6EiT48Momjk3lIEsKGp0BTF1FMWciDGNcuLKFrhuiMNzE8YMY+nBS86XXp/Gjj9ZQyBii+r8iYUbLIuvomKxlMT+Rww8vrMK2PKiKjHLOxKnZEq4vt1HOmzANBR9fF5WvZFW0JG53PWRMHbIsJqXXV9roDXzMTeSHbYcT9Aai2mAci8nc1rDyjarKsAwVxyfz+O2vnsE3/+4S+q6P106PYWFaTFgGbog4Fu3JJqoOOoMAkGJUhlmta1tikVMr2ekBbBiKqoBRnKQtjcdKDla3ROXCyapzz2CRu2VMTlQyCMI4/Tncr0JXpWAj53ThBxHyWROKsvPhF4ZxmsABAP1BgNWt3u1PSMT3iEkch8P0MODJ9UQ78WrRxqc3m5BlCfIwqHFUEQsQWc4rmz2EYQx/eNjY7oufd5IkODtXxlqjL1od2gaaPQ+OpaOQ0dDs+qiXHbxwrCIywU1RXb9csPErn59HEMSwLR0rmz0YuoKfOVeHH8QIoxjnj1cwXslgfjKP7iAQVVtEMQ0RvJiI+1AxY6DvBshbJpqGjyhKYBoqTE3GYFhFo162IUniAFksOkSFv8XVLrK2jpdOVGEZYoMmaxuYHQeCIIQXRNhoutA1kahh6iqCMIIfxpgbz2G9KYLODV3BhWEGer0iqvuWchYMXbSL7/R8lPMW6pU7r9OHmRBvNMVC0A/ERm2nJxZFA08kxY0q0ACj9rfSYydwjF5vlMABiIM65RED3uplB34Q7eneQw/vkxvN9CAwQYJ2L0ClYOH6ahuf3GiI9tU5cfiZzxjDLFwJ9UoGYRjj0/UmbENFo+unz9yttgtJllAp2Gj3RBWkUXJWEgO2oSKf0XFsIp++n0fvc3lboHQQxemGACCSA6pFUalmaaOHatEEIKr5zk/kkCQi2azvBqgWLZycLqXvF1WRMSrStvuaUlX5voc+25+JyvDv7l7U3VzrYHWrj5vDzV5DU9LNq9H8Y7UxACQJigTMjufQ6rgo5AzUaw6SOEGjG6Q/C1WRYRoqXjlZRQJgab2LUl6FporKNLqmDBMyE7S7flpJ1N0Um+b1ioM4SaAoMqIkQc7R0xazfT9ETtXR7fsYK9migt+278nLJ2pwvQibbRcTFQcL00V8cqNx+4tNIJJehoFaW20v3XAFgM3mzg2o7Xa/FtHzTFFkvH5mDK+fGUNvEOBffrqEf/zxTXxweQOXFsWB6v/zLy8g5+g4PVvCZC2DesVB3tFhGqISURCKFuydvkia3Wq52Gq72Bz+utlx7xs4L8sSChkdhayJUs5EcVh1uJgVVTG3/9+6S7cDev64XohPbzbhBRFqRRt5x0CvH4iEUEkCZAmKoohOVGGMOBEftgwVvWHlq900GSjmLRiaBkUWnaduKG2EQYyZ8SxeOVUDgB0HD4619wo/mqpgYaqApY2e6KI1fjsoY/c8c6zkwDI0UTlWkjBbv735OTpYfpIedX78vOhuW6sgEWtOBoofnBsrHWiaDk0T63pDV1EpOiLpwTZwba2N/iCEY9vwQ9FGWpJEQEC94qA78JG1HfhBnAbj9NwA71/ZhOtHGCtaePOFcRSHlWgdYwM9TSR2u14MPwTymeG8equfzu8NTcHUWBaNtgvb1IaVYyUAIlDatiwU8gosQ02rVwPAZMXB5VsttHs+8hkdn39pEj+9tA5ZlvHG2dodX39luK54/cyY2Bvr+6gUrB0BQpttF/WyA1XVkSTA5VtNuL4I3F6YKsA0VKiKCJoYK4kOf7qmoJzfWyW3atGC64do9Xw4xu2gJkAcekax2AdUFBknpgu4udaFIkuYGc+Kjw/vYTvuidsC1fZitIdwYjKPj4frxReOV3htPkP6A1+sHaMYlqHC86NhlWQNbhghDGPUCjY0TU6rvP744hoshAAkJHEESQPEDoOgqTKCKEEcR+h7MXRVQcZSICsSbEvDmdkSgiiGpsi4utRCIWfCUBW0+6KV+1jRShMwR+vY45N5HJvMod33cXOti6laBr/2uXmoqopS3sJ608PAEx0nq0UbfTdEKXd7P+lhnuk99/bzyPVDAEqaUBFtm2x3B6KzuCKLgzvPj6Ba8o7rD9j7IfHxyfyOM5jDVnm+NwjTX4fDdYnNeQ1h5x7cSH8QYHuW94553j3s/pwbqx002h5WN3sYK4vuL5vtAcrDaztJxPtylFh1r+v8XnPw3dfqyPb982OTOaiKhK4boJQx8dnzE2h1RYctVZHRd0O4XjhMLlWgDZOxTF2FZahYawyw3nRxeq6ML7w0ifcurcO2NKjDg/++G8IPxFzG9yN8dG0T6vCcVddE4RpT11Ap2giCCHECWKY2vCfJUFUFM7UMBm4IWRJzAMfSMD9RwAvHK/j2e0uoFixMVjLQdBWVool+PxTnhxLQbAeI4gRhHMMxRVBprWgjShI0WmKuNT+RRbPj7/gerW71cflmE4urnWFCikiwlSQJvUGAUs7EbF2c63p+hFrJRvYhO/cdtkQ2erL6u/YLeruu/+3P4tGfP2oSRz5j4K1z4/jxxXXknQinZkVF6G5/5/t6aZgoKoJGY3T6PuoVJz1v6A2f+1GYQIKEziCEIssoZHTRtUaW8OLJMTS6AS5c3UR3EEDXFFxdaqGcN2GbKubqOfhBjJvrHWQsDbPjWSxvDiBLQDFnIWvruLLcwoWrW+i7ISoFA14gqsiV8wYsQxNdgYoWeoMAxZyFE9NFFLIGlja6CKMkDQ5vdjxIkHB8qghDU/Gjj1dgGaIiuKrIUCUJs+N55BwDnb4vEnfdEBlbQzFrwjFV/PBCDG+9h3zWgG3oUBUZnb6fdtAIwgRffn0GP/5kDYCIx9BUGZoq4/hkfpgMq6RrkGLOxGQtk67lZus5KLLo5K4oMkaPkjCOYRgajLv8yDVVBLxeX+4gTkQw+PZAVHMYf7H7tbd70JmFosjwwzgthCPWqOG+B/65fohPF8UeXLVgYWb84dZuT8Nevwe3NkTSZRQnkBMZnifaaERRAl8KgUTHVCWDtbEBFFWG64UYr4hiiO9dWsfAD9PCakmcQNdVkfwkAUkMyFKCRJGQtTW4XghFkZB3VCxvhrANFVlHRxInGLhRmnDS6vtIAOQdffjcBH7tC8fxk0vraHc9VAom/DDG2tYASSKKuxyfKqA7EB01W8MOFrfWu1BCCf1BCM+OcHmxiZdP1fDCsUraqWBmPAfLUBHFCXqDAIWsse+duIMwxqeLTfS9AMWsifmJHCRJwux4DkkinsfVov3Uq6gPvJ33+27/wXPC/cB5xeO73/r0YffRR+9Dzw9RLdho9Txoqoy1rT5cT8ScJACyttjzSoIQ5XwGX3xlEp/ebCGKYuQcHR98uoVOP4Aki07BhqamyWZhGEGSJKjDrg+ffWkC//jjWxj4Ad44M4YvvjqN//GjRQDA7HgW73y8hiQBJFlCGANZS4OuySjmTJS2d4xORFxExtKhyKLISrfvp/eatUYfhYyRvq5tqpgZt7G61UetYOHV0zUsrnbh+uEd12TG1vGFVybwT+8uQVdl/C9vn4QXiITrnKPjzbPjWN7q3xFDY97lsm52vLSDF4C0k9L9fk6mrsLURXzG9niNrZY7jAcV74FgeH/ebvuaqzsIbhcGH86fRtfgXtaF9yOK7PagqwqcXUUqd88fD5O7rZkPu0rBwsAL0ex6yFga6kcwltPQNFSKFpY3utBUBdNjmQf/pUPm6lLnjo8tbXSOfCLHqFPiUVIuWDBXOmLPx1CPXGca4M5196PekxlBss9yjo44idHseFjd6mOqlsHAC3FtuY2z82WcHm5qNDsubq52UCtaGCtbYuFuiRab02MZTNWyqBZvH5DM13O4vtKGpkqQfWC8LG6K42UHV2+10en7YkNz+IC1DBWmrmJ+2OZr5NhkAdWijemxLMIoEQHjUQxFluEihJMzsHp1C4Ymsns9P8TKZhfj5QyqRRtf/ewcPrq6hc62TRlRTV9DEEao5K00GLVSEG09T8+VkHN03FzrQgbwrhcinzGgKBJOz5bg+mLyUsyZOD1XwuJaB5duNOAHETRVRjVvYbU5QJIkaHY8jJVsXFtpI2NpmKhkcPlWCy+dqOL/8luv3PHzcCwVqiojDEUFr+NTorrBVkskxcxP5jBVzeDTmy3xF7a1uVFk0VK50xeLytNzJZydf/hWRLIs3fFzuJeZ8Sxa3WF1f0W6YyGqqjIqBSsNMC9mDcyM57DecNO/M1E5eg/9Z5WiiAoz2xUyRvr+E22Vdj6QSlkDlqHA9WV0JaSLmcKw/V2tZOPyYhPvXFxN2+S+dX4Cpq6mk/hi3sSvfH5+x+Jh0xsgiZM0gELXFHzp9Zkdr10r2jg1U8SNlc7wcFVs1IVRDEgS3CBELqPj1HwB/eGfh1GEomMiRoKeG8LQRevVrCO6UhybzOPY5J3v/0LGwGbLRc4xMD2eg23pGC+LA++srUPX5LQ1qizLmKpl0RsEwwMXFZstkdBVrzjIOjoqBQuz2zbi/DDGzdUOMraGQnZvgR2uH6LZ8aCrMqoFC34Ypa0Uy3lRuXR0+F3IGlhviOvQ0BSYTyhA09BEkMwogazwiBvqwMPde+jhvXVuHJcWG0hEAVq8fLKKKE6w1fLSttOjivCj1o43VtuwTRXrTXGg4NiaqAw3rMZZzpmiBeQwINjQFbF4HrZAnx7LQpFlVB6wSamrMixTxcAV76PRc213O98gFMlXowqV9YrzVCu3dPt+eqijyhLWG31M1bLDQ9bbwUwnpvN456MVxImoQvFrXziO03MlvHdpDa2uj87ghjgwlmWUsgZePlFNDwaqBSutNpbPGDh3rJwGVAdhhPc/3UQYiQq4o0OKsZKN8wsVuF6AxVXRmtgMFWSGc6xRS9TdVFXG51+e3PGxfMZIu/bIsrQjkLZWtNI5CoA7KikS0YM5loZfenMWv/TmLBodF997fxnf+ekyLlzdRLvn4wcXVoALj/ZvyxKQdXQosuhGEA6TssMoRhyLroJbbQ9XbrXu+++YuoJi1hRJHjkD1YKNatFCrSgSfKsFEVz3KAHpSZLACyL0BgG6/QDdQSB+PfAxcMM0qS8IY9EZRVNgaDIMXYVtjv4TnUVsU03XkE+i40+SiErRowRVP4jhh9G234tkXT+IEIz+bPTxbZ8zSrgJwhhhGMMy1TTwcVTJVfzaQNbR4Zj375Iy+p713RC9QYC+G6DvhuL3rvh9byCCcV49VcOrp+8MSH4UN1Y76A+fy8sbPdEt01DhB2EaKFnMW+j0AwShqA5pGzLiYTB1GN4O6JQA2JaC10+NQZJl5GwNtzZ6yGcMHFMKmB3PYm4in+4ZPI7dc4eRu80zc46Oc8cOb+veTt+HhLsXXnjWFHbNPx420IuerDPzZVy4Kipfy7KE8wsVzIyJtevV5Ra8YaWhKIqAJMHoaK9WtPCzr06h74ZwDBXvXlpPiwy4fphuFK9sisSMkzNiv/GTGw0MfPF52YwObCtkND+RQ98NEEYJsraGyWoGk8M5aL2SweJqGwnEvkS9ZKDRFa89Wc2k94Jb6930/dVoe5ge0/Ernz/2wO+Dqav4+demAYgg7fc/3UgLGEwMCzQAgBeEolKoKqMfhbi+0k4DxOplBxPVDMZKYt9reo/BOJIk7QjccYMoDXjI2vqOA9P8cO/lbgpZQ3QLVh4+OS2fEXsI1bIDXVcxPZZFPqPDZrLnMyNj6SjlTGw2B+gPK8aOVzKQkGCr7YqDeEnC7LDYUxyLw//Vzb4o2BQNoCkKQiWBLItEI0mWYBsqNFVFIWNgvTVAuWAi5+j4uVensLTRQzTsaHN6viQKRiw20XMDWLoKP4zw9pszcIMYSZJAkWU0uz7CGPg//cq5u34dp2aKaZLT9n3yR5F3DNySRKdRxxJdiQER+GMZohtN3w2QsdQ0sNnQH3+PzTTU9AzmMMpnRPEvQHy9Bgs20H1kHX1Hl6i97BXnMzrWtkTF6iiO0egE0FQFUSLOA49NFjBZyaDdF90jHFOFqkhYXO2gmDX2PF8Owxgrmz04lnbXNUPO0UWQaAKoioIvvzGbnnm6XoiffrohxhiJAguFjA7bVOB6EXK2Dl1XoGsKXFesz2pFC5vNAU7NlnbMPZIkQacfQJElNNou/ue7N3FsqoBksYViTgRrT1QdZG0NAy9EsZZFGEXintgRiaGiOJVzRxGGm2sdHJssIGPraHY8jJdtlPMWzi9U0Oy4+It/voLVrT50TU4DrqsFCz/78gQGboByzsLlpSZyjgFNVTFRvX125wURrq+003vuKKHNGXY7GN1/xR7zk6myS8+ezLDi9ugesfu5PZqDAuI8MveYa8OF6SJm67l0Tx24c6/8+FQBH13bAiDO2L/48uSOM4d8xhBrHFtDpyeKLLW6PixDw1jZwRtnxqEoEk7OFlHOW/jBhWWYmugS0PdCzNcLaHY9WKaKs/NleH6EIEyQz+gYK9rIZwz4QYy+G6KYNbHZaop/uyT245JEQrVop13TTF3BWNlGzhHnEbWCiXxGT89xZ8ZzIrE2jDE1lsXkmIP//R+vIBzOwRamC5gey2J6LIsgFPtNtqmmAZqqIuPFhSrqlQxaXQ+WIeIWpmpZrGz00p/j+YUKXrnLHlQ5b921QNv2tdzt762exg8EkQj2D4fdgO7GNjWcmb/3nOler/0wChkjPafafe6zX26s3N6DW9ns33eN9zBcP8R6Y4B81rijUvt+OTZZwI8/XhNFiZQYpbyJVteHIoufn66rmKhl0B2EmK5n4HoxXjhWwmw9j+NTefzoozVcWmwgThJMjWWhaTIkSGh1XEjDpCdNlUXRuEQk/vhBjFpBdAgzdQX5jI5ayUxjg8bLNgaemFuYWQWff2kSs/U83nyhjiCM8f7lDTE/MHUUcybqZQfnF8rpNbHR7ONvv3cdOUdHEMTI2Bqyti46Wq20UcpbODFd2BHo/jTPum+td9OvdaM5QG4Yg6Cp8oE+jzO2DkWR0vXfvc4p6fnkWBrKBTN9X0gALt9qIUlE0WbTUNKOtLIsIZcx8JXPzAEAem6I//HjRTiWuG9WCgYaHT99r52a2/ackIBSzsQvf3YOrh+hmDVQK9r4X3/tBQBAd+DjwyubUFUJvh+jWDAxUcng9dM1yLKMQlZP1/7ysLBipyf258o5safSHhY0nhvP7jhDn6zeLlo1sjBduOv3QyTxOfjNnz8BAAiiBC+frOHlk7f//l7vK6W8BUMXxXMBsTfZd0NstgYPXDvtjtcYLztw/fD2dfyAZ9P2Pf58xkASJ2kh4OJd7gHdvo9Gx0M5b8E2773P0BsEaWfGQRSKDsTDddvotVw/hOdHj3x2STuNlx3kHB2W8WTOX582S1eRd3TYRgEAYD9EsbjD4uzx8e1N5iBJwHjp6MXWqjKwrSY0Pnt+/OAG84hEwq5InDd0+b7rkcMqn9Fxc+32ffNR4zq5I7zPVEUGEgmuJwIvRguM7dWlri238C/vLSFJxML8K5+Zwy+9OYsbKx04poaMo0FVxGbfyJvn67AsFWvDxJCcY8CxNOQzBt7+zCwuXm9AliWUsyYkWVSP2H3zj+MEH1/fQrcfIIpFVu0bZ8cgSVIafCQyF2VIUoKffrqJ9Q8G+MGHK3j7M3N4caE6/Fp2trIZfW2aquDssRK2Wi4MXdmxsJ+oZmDoCqZqGZyaL2GjMcD8RB7HpwrwA9H+TFMUVAomNFXC6mYflqmiXs5gYSqP86qMrZYLfVjZAgnSTanoPmVyNVXB2fkSttoudFVBpWAhjhPkbB1hHKNasKGpMk4psgge39bSGQBOzhax3hAb3tt/HvvlpRNVZG0dra6HuXrurpsKX3pjBhevbwFJglMzRejDakTi8DzDavuHXKVgDatLiYo3uzesdF3F22/N4dObTURxgrGihVzGTDdXlze66PshMrYOM4zx5TdmMDeRR7Vgodn14HohijnzjoACWZEwPZZNk5JKdzlYmavn4FgaxkoWri53oKqiMkdvEGCj5aZBF9WCjbHSDWy2XCxMFbDZFJWwZCnBzHgOZ+dLDwxomJ/II5tehxaur7QxGFbbmqplcGwyjwvXtoYV6UKMl3MYK9tY3eyjnDehazIcU8W5+fIdFUt8P8Rff/e62GSRgM+en7hrIsl2ra6HH3y4gtWtPhRFdD6YqDhodHzMjGUwP5FHKW+m9/TR9yoctjx8El04ALFgPT1XEi3jhy2X6XB668UJ/PX3rqHZ8eCYGn7xzVk02h7WtvppZdfuIEA5L6rM9t0Ap+eK6Hshbix3IEkimOjV07VhS3ANCYCrS22oioRq0cGxyTziJBl2zCmj74awTBXFByQmSZKEM3MlrDcGkGXpns8vTZXveEY+Tduf36ODk6nhc2x7NZfpsRy+/gsncWmxifGSgxeGB6XXbnXQHnio5MXGlG2qODldEhU+hpdkrSSe8wMvRCFr7DiM3T5HODaZQ5JICKIoTdr63IuT+GRRJJVOVbPwwyide+3VWMmGvu31twejZGwdX3lrFleX2sjaWtpFjIgeTTFr4qufncdXPzuPIIxx+aboyrGy2cPyZg/dfgDXDxFGMTRVga7KYnM7b6GUM1HKGbd/nTdF0vldnu/+sINHsyPaFzfarvh/x93x+2bHxcCL4PoRlodjuB9DV2APkygkScwJJOl2p68ojhGGCYIwQhDFadXe0aHxkzLq/mAbokCAcpe29KN7bDI8DA5C0d0tHI5r9Pv7dTPZL6MOVsowGViRJSQQLbe9YYLI3bpa3M13P1jG/+Mbv/hExhVt+zldXWrhxmoHUSy+R/WKjdNzZXzuxQl8cHkNf/f9m7BMBY6lQ5KBS9cbGAQRpAQIwhATtSx+/YsLmKvn4LohgiiBZSho94Lh4apxx3r8eXflVisNZBgr2zuSv59F95v/0NP3M2fHoSoyLt9s4vhUAS8tVLA+fD+W8yYylo52z0MpZ+HXvuDgRx+vwTJkvHKmhn965xaCMEYxY+DrXz6Bj69vIWPq2Gj1sbTRF8ltxs7ktV/9/DHUijY6fQ8vnawhCCJ8eGUz7Vj5weVNABAFGmaK6d/95S/M4Vv/cg1hnOD8iRJ+/NE6uv0QpqHg+FQ+Dc6Mot17gg/f7lpVZJw9Vsbmtr3ArbYruoFIEm6s3q6MtX3NUMia6f5pIWs8ciDHqZli+jOoFvdWxTNJEly80UC7Kw6TZ8azD9UFt5QzcWq2iMmqAz+MYegKKnmLB6HPEFWV8ZXPzGN6LItmx0OtaKPVdfE/370FWRJBFFNjWbz1Qh0z4+JzNltjuLTYQLvnY3osI9a1w0JJsiyh3fXR7vmoFW1kbR3zk3nMjGUxPZZBpWCjmBXXjqGLgIzljT6aXQ9j5Qze+WgFrh/i735wQyS8ZgzMjIkgxPg+k7Ti8L066hz8OMmPjqXhzHwZ7a6HkzMFBGGCIBJFoMIwxoWrW6LbtyxhrGynwc9Pao/tsDo2uXNP9Fn/eunxWIaKs/MlNDsi8PduyRK7FbO3r2NdV3BlWMBsZiyLvhfg+FQesizh3Ytr8PwYEiR86/vXRSVYRcLPvzb9wGecH8b41nBfFJKY75yc2bmvZZsazs6XRdDyrv3MeNeibLwkEjX/XdHG9ZU22l0PfhCh2fGx3hrAMTVUizYkSbpj7nFpsZkGN03WMvjy69NY2ezjrRfq6PUD1Eo25idyaHV9kUyvi8IAPTccVrFX04J0u43mIdWCBUNTUCs5OD1bhKrIqBRs/KvPH8Mni00kL0XouxEMXcUbZ2uwTR2/9NYsPr3ZxAsnSjAUkbS/fe4SxwkwTPKdHsui7wY4NlmAocnIZYwd55RE92LqKs4dK6PRdmEa6h3nfqUn+Fwf2b6nfre9h7PzZSiKjMWVNubquTv2vKfHsrBNFZNVBwnEGeRWx0WSJDg5U0o7bp+ZK+HTxQbyjpEGIsYxcHa+hE9uNHB9uQVZkpAkCQpZUbxJliQ4loattou+G2J6LAtdE1158hkdiqwgl9FgaioSAB9f28KttS4WV7sYL9v40uvTUFUVv/y5Ofzjj5egKhK++tYcpsazO9Yu5ZyFdz9Zx1jJxs++MgUA6LsBPrq2NazWLYKRLENFveJA12RM1TLi3EiWUMqZUGUZnyw2EIQxTkwX06/7cYzONVY2e1gbdj9fbwxw9lj5wKrnT49lYRkiubiUM5/KOHbPde83992rbt/HX3/3Gjw/gqJI+LlXp1Cv7H9RrvmJPP7Nl0/i08UGVElC1w1h6SoaXQ/jJRtnj1ehqwqCKMZ7n2zA9yOsN/p46YSHV07V4Fg6Ts4WEMcJKgULa5t9fPf9ZXT7Puxh8bh62QYkCccn81jZGkCVJZyZK6PRFc/fEzPFYSFJBb1BgDPzJVxfamNlq4cT0wXM1m8/20YdXsbLtugKa2o7ztYBoFKw8UtvzuL6ShvXljuIohiTtQzCOMFH1xuo5F0oijjjfBpJP7vduedxABvcd2FoCs7Oi/s9931pN11TcG6+nD6b6xUHMRKsbQ5QK1oo5U0Ew3ObjK3vSO5zTBX/8TdfxD/++BYsQ8UvvTmDK0ttvHdpA/WKjc+/NIXF1Q42mgPUKw5+/PEa3r+yAQyLNZyaLaVdZm1Dw8+cG0vPKl49XcWLJ2rw/dvn6422u2PPer05SONtTs6V8IMPV6GpMt48O46+F4gzdEfDwtTez9DvuI4f4wzNNlW8/Zk5XLnZhG1qGK84+Kt/uZI+D+63drpbvIYfRPecQ+22MFXAenOAOE6GiagJ1puDO2JJAWBls4d/eGcRUZTA0BW8/Zm5eyYc7r6vjTputXt++rN8/9MNJIk4tzw7f3DziGeBN9ybD4fF9k7PldLCwUeFrit45VQVq1t9GNrRLDIQxzFeO13F+5dFMYlXzlYRx8BdjsAPtRfmc/jJ5WEBW1vB8enDW1jvXs4dK+Odj1fR6vqYrjmYeApz6idt+36XbWqPnFzLk9t9NmqfVa84SCDaa9mmiqlt1RAuXm+kgSPdfoCbqx0sTBcf+JAeJVHsZuoqXjpx9z/brucGaaU5RZYRxUm6wMxYGi7eaCCKEkyP5dAb+BjthcYJ8O7FtfT1J2sZfLrYRJKILO+sffsBY+rqPStJj76+3X+ua8qOi3K94e6sypE1kbE0VAs2AAmdvo9izkgr0kzX7l813NTVHf++LEuo7apifq8qDIosPdSh7JPwoGBzXZVx/nhlx8fm6nnM1fdzVPQkFbLGfW/iGVvfkQm+3SfD63T0nrZNNe3YcrfEjJG8Y6BStKBrCmRZuqNCCyAWErWijVrRxslZ8bBvtF18erOJeiWLQtZIO3mMunhEUYyPrzeQ29ZdZy+bKtuvQy+I0OqJh5uhKTgzXxILtmEKacbSoSgyJqsZtHuisnQxa+L0XPGu1flurvdudwtKxD33QdfV6lYfWx1RWafbD9Du+Tg9W0IpZyFja3fct0bfq/2gqaJiIx1u//LeEopZC8WsuCa++9NlfPblCVFdIkjS4ANg5zVfyAI5W0+fudWCjdNzJXx8bSutpisq4+p33CcKD9EkQ1X29j7a/Yx8mnKOjnxGR6vrQ5YlnJ0p3/PeOFvP79gMvrTYhCSLe5sECRlbw+nZEqbGMncksRZzJu61lDSNe89bVFV+pA5cu93v9QtZE6+c2lu3ICLau1EXvdNzT756g64pe65EN/BEl6+ttisC9doDrDfEf2uNPtYbAzSHXfg8PxpW83n41qeyLIliALaGzPAAzjZV6KoCTZWhDoP1/EAkMrh+hMGwmmnaicILEccJkgRpZwrcv8nIQ9FUGboqQ9NEAo2mKjA0BZomi3Fq4s91VVRBHX1cVDQVHUQURUZ/EKDd99HpBWj3PHT6Irix0/cxGBZS6OyhnbwsAZYpvk/O8P+2qW37tYrXTo89sa9/ourg0mKAOE6w2XZRzhlodlzomoqZ8RxmxnLIZQyUCw5ePlVDnCRY3uihXnagKQquLbdg6irKeRP//qvndlRwpfsLozhN4ADEvH+6lj2SFY8exv3mH/T0vXqqhle3VYsb7TMNvBCtYfVZ01Bwaq6EFxbEfs/f/+AGTF2FqQNhnKDd9/HlN2YBiMqQ7f5NRFGCct66Y1/sZ87trMA02vt79+Ja+rF218fAC9P1e6vt441z9fTz/DBJu/2++8l6OhevlWxstV34gUhEeNR1sbFrL3D0XI3jBM2eh/ZwjbB77+JJVINVFPmh9/oGXpgmcACiq9LD/htPqgIsHV62qeKNs7evv7/89hWMlWy0Oh4SALPjOczWRSJhMWfiheMVbLZclHIWClkDYyU7/fuuF+K9S+tY2uiJzrSShC++MrVjzbx7PTtRdRBG4iBMliXYloY4AVw/QiZO0On7ODFdeOC+3ZN8r2Ys7a6H0zfXOmkF71Eg81E8tHsUknTn2QTR/dim9tBBjNuv424/wNpWH7qu4OSMOIe8eH0LGUtHxgKuLLXQHh48R1GCTxebD3zGrW720sQJsf++dUcSB4C0u/DdvqZS3sRWS1QCnxnPopy3MFaycWK6iB9eWEGSiLMQXRPr2r4rkku3J4O4wzX3yMpmD6+dHrtrYK2zq1poxtbTc5V7mag4aHd9hFGM8YqDM3OlHUFv1aJ9z4TQ+53xACJBp1KwsNEcQFVlvHSilnYqIXoYlqHCuk+H5/2Yg95vTx0QSdOn7nJPGNk9n58ev/PgQ1VknJ4rY60xwI2VDiABLx6vwjTUYTVjAwMvhKGrqBYtTG1bE+magkbHQxjGmK3ncGbu7sGH33lvOU2qXtnso9UVge1BkOCz58XaaKvj4vh0Ycc8ZWG6eEdyynpzkAaJjvYhRrEO91q/PImzh93yGUME2A0L7XlBhEbH3bfzzL142sXDJqoZdAcNxLE4Z3sS7/+rS620CnsUJfjkRuOpJHEAIpFjfiKPxdUOljd6UFUZmy0XhayB4xM5bLRcRLEIzpZkCa4X4uKNBl45VcOxyXx6Pt5ou+j0AtiWuH4HXiTmpWUHlbyFJAGOTeRxeq44nHfsfI9vv5e8sFDBC6jsHiqAO9f6dzN6fr50ooaPrm3C9SI0u14acBxFCTaaA8yMP/0g13rFQWv47LdMsRd7WDzofk/Pt+3P5qwd4Vi9gMmKSGacGsvi2lI7vS/urhheKTj4zS+dTH9/cqaUdvwFkHacAoBWz0+r2UdRjN7AR2l4nYjOcgpePinOVSxDTWOLRnbvWW9/Pmmqgi+9Pp3+XgSOP/w1aJtaOs+GhB2xh48it21e/5NP1nY8Dx60dtodr/GgOdR2sizdsV651/11FEMGiLPGKzeb91yLZG0RcNzseJAkEf+ZsW8n+35y43Y8q+cf/DziqNvcFvcWxwnWG31krKfXYepJEB29s3BM0Sl0snb0nkWyImNhpgjTEHOL2frRPCMMYhWVgimSrDQF7e7DxxQctI+vNzBZzWJyGOZ+dbl9Rwz0UXCv/a6HwSSOfaYPK8JLkjhoLGYNzE3kd2wO7K7o8qCK9U+KpsjY3h9I35b1nrF1vHSiiiCMYeoKPlls7vi72zeJi1kTL5+sIYrix25vftdxajK8QEx8ICH93omsxCI8P0pbpymKtCN7n+hZZ+06sNlrVVVZlnBq5vb1c6/2ubsVc/e/3hVFxpm5Erwggq7Kj1RF0tAUnF+owg8i6JoCRZbu2FDVh2M+N19+4GtZxs57gmk8+B6ha4poRxvEUGRASm5XvtZ5j6G72N2m0rFVlLImfuZcHa4XwjTUe24O737mStJd3vPaEUv7fgSSJOHkI9yXgJ3zkpyj4/RcES8uVNN5GBHRYWAZalp1716CMN6RTOH5EeIkQZIk4v+xqFKqKrJIyBj9f5jw4FjqHVXYH0WSiFbMfTfAYJjE0fcCJDGQDBeQo43b7XV6NFWGpojx7P7/KGlDU+Snshk26pLSGwSIE3GIMKoqZOgiaWT0/yfxPXsY+YyBl09WEYYxVrd6aHV9lPMWfD/CfD0PWZGgKXK64SMBkCUJmiIOPotZAxMVUaF7rMwN84chSxIURUoPMdSn9H4k2gvLEEVZ/CCCMSy4MOLsanu/fe0/Wc3gN35uAa4XIufokPdYMkrXFATDQyNJwo75t6bK6SGkbapo3G6GsSMA29TVdP2+e8xPwqPuXew30bX49rOQ6w7aC1MXyaKmriBJgFOzhR1/PlHNYGGqgCgWneK27wsow+fVRMUZVsvcW1WvmfEcgihGqxsMCzr5yDk65ifymKtnMVF9vOCFJ2X3Xpv2HOyBEB2UuXoO42V7uOcurr3tzzFD2zk/3ste+u7990fp/LYwVYBbDe96xqerCrwgGj5/JczVs5AkCWfnyzvGqqpi7KMq60+6QqxtanjpREV00dqHec+xyTwmKg7POYnu42dfmRoWwZBhmyK40NAVTNUyaQehQmZngOf91lnbGYYCPxRrIEkCDF2FKks77it7PR80dq0PDrJi9WEay0HIOXq6B2cMz98el7V7fX4AHSJGz+5y3kLOMTBZE12sFlc70BQlXa/KsgTrLrFHmnZ7DjDwRGeUfFbH66fHUM5bj3XO/6g0VcYLxyoi2ajt4uZaN/2zg1pz7/ezn+hp0DUF5xfEtTWKvSlkjCdyXyznDfiBgyRJRFf0bXuGmrozHvEg1/n7Nc/enVy/l7XT07B7PXa/IgCj+AzXC6EMzxu3233/ZazU49n9/TyK8zJJknBiujDsQHPne+YokCVRkHqykoUkAVlHP5LP+HLBQhiJGAJVlVHIHp5k072yd92vnAOYVx8WTOLYZ6WciXrFEe2NTRXz9dwdi52fOTeOMIrR6QWYrWcx9ZiZn3tlGiqOTeSxvNmDpso7WvcC4kBydDh6aqaIN86O4+L1LWRtHW+/ObfjczV1/27MxybyuLbcRhDFmKg4OzYbJElKA8kPy0Eu0dP08skaBm6AZsdHvercUe3lfrZfPw/jQde7LEuPdFCznbLr36gWrLTSZcbW0gz2vbxWvZLBSycquHKrDcfS8Oa5B1dRnqpl0HMDXFtqwTYzGCvZabvB2frhOOCmw+UXfmYWyxs9XF9po1q08Ws/ewKWrmDghej2A2Sd+1dz2/7MBcSB6jW04fkRxkr2gbQJPgiPel86M1dEu+thrTFAuWDi5RO1J9JynIjoaRPzLB055+6tjZ8WSZJEkoOmoHhEpz4P0yXlIIye/V94eRLffX8FtqkinzVQKliolx2YhopTM0W0uj5WN/sYLzuolW2EQYwYCSxdxfRYNk00pr2RZQknpotYXBUR6aMK6ESHxe618Mgrp2tw/Qjtno/p8Szm6jv38ESXjoebRx+f3Lnftv0Q6cR0AdeWRVW+X/7sHL7z/jJurnUxVrTxsy9P7WnMT8qjrhH2k64pODaZx9JGD5oiY473EtqDt14Yx3feX8LAjXBipoBKYecegSJLODNfwuJqB7IsYXb89vtKU2UsTBdwc60LRZYe6j13fLKATs/H1aU2XM/AyZkCaiXn0CRwAEC1aGHgb9v3K7HLGNF+2j1nmB7LIoxiuF6EN1+oY3Glg5XNPoo5Ay+euHf3iJFKwcarp2u4tNiEZSh464VHaxN/r+f9wnQB11faWJjKI05Egun0WPaOM0FVkXF8Kv9I98q9UhQZ1j6eRR62OQ/RYbQ7OCmfMTA9nsVm04VpKHetsL2XNcvnX5rADz5chR9GeHGhAnsYqH9iupDOz/Z6X6kV7T2fDe23yWGCy8ALUcqbOzoYPS92n789roWpIhptD0vrPRSy9++0tF9qRQuuF6Ld81EtapgZE+/NiWoGfhDhlZNV3NrooVa08eau7pyAKM4wM55FkiS4eKOBrK3h7Fwl7Si1n2v8+xmd+5sVB34Yo9MT64ODrPq+389+oqdhd0zNk7ovfvb8hNjn8CKcnCnsOIuxDBXz9TxWtu4ej/i07cc8++RMEY22+1Brp6fhpZM1DLwQjbaH8bJ91y6Ju93r+zNVyyAcziPKeXNPBUXo3ioFC303QKvrw7G0p9bJ60k7jPv1D+OOc8K7dAI8Cn7rF0/h//v/+wQDL8Sb58Yfu9PQQXjlZBX9YSzoRNVJu8Y9j6QkSZIHfxoBwPvvvw8AOH/+/AGP5Gha2exBVaQ7DqiIjpJ33nkHuq4/8n2g3ffR6/so50zoT6nrDhE9WY97H6DH5/ohNlsu8s7tdp5ETxvvBUS0H/eBvuuj0fFRzptPrUsnET06zgeeX3EcY3WrD1NXUcw9f4FQtBPvBQeHcyc6LO51H2h2XAy8ENWCzYIjRM+4wzQf8P0Q69w/JzoQ+3Uv2GwNEIQxakVrzx04iehgHKY5AdHdrDf6AJAm79GTx/sAPQ2jPaexks354SG113wD7mrTU/EP7yzi1rDl4em5Il4/c2fGP9Gz7uZqB//47k0kCZCxNXzlM3M8XCQiekh918dff+caBl4ERZHw869Np915iIiIjrL1Rh9//8MbaQe4tz8zhxyDLYiIDp04jvH3P7yBta0BAOClk1WcP1454FERPX82mn38/Q8XEYYx5050KH262MD3PlwBEqCYNfD2W3NM5CCifdd3Q/zN966hPwigKBJ+7tWpI1vll4iEn3yyhg8ubwIAJqoOvvT6zAGPiIiIjqrv/HQJV261AIiuh4/aSZGIDtZH1zbxzsdrQCK6vPzSmzNM5DjC+JOjfdft+2kCBwBcWmwe3GCIDtDH1xsY9T7q9gNcXWod7ICIiI6gyzdbGHgRACCKEly8vnXAIyIiInoyLl5vIIrEgsHzI1y52TzYARER0V1ttd00gQMAPr7GNQnRQfj4egNhGAMQc6fLPHegQ+aja1vA8Dyg0fGwvNk72AER0XPh6lIL/UEAQOyff3ytccAjIqLH9fH129fx0noPzY57gKMhIqKjyg/jNIEDAD5dbMIf7qsQ0dHy0bVGuue00RxgrTG4/1+gQ41JHLTvdFWGokjp7w1VOcDREB0cU9/53rcN7YBGQkR0dFnGzg5G7GhERETPCmPXesHSuV4gIjqMTF0Fbm913rFGIaKnY/deq2nw3IEOlzvm93yPEtFTcOf+Oe89REfd9utYkgBd4xqUiIgenipjR3dIVZXBZpFER9OOdZ7Edd9Rx1sx7TtdV/GZ83VkbR2FrIEvvDJ50EMiOhCvnx3DeNmBbWk4PVfEbD130EMiIjpyFqaLODFdgG1pmKxm8MrJ6kEPiYiI6Il46WQNk7UMbEvDwnQBJ2byBz0kIiK6i4yt461z48jYGkp5E597ceKgh0T0XHrxRA3TY2LudHwyj1MzxYMeEtEOb52fQLVoIWNreOVUDZWCfdBDIqLnwLHJPE7NFmFbGiaqDl45XTvoIRHRY/r8SxMoZg1kbR2ffXECtskkDiIieniyLOMLL08i6+jIZ3R88ZVJyDJDh4mOos+er6OcF3tOb5weRyFrHvSQ6DFwdk9PxVw9j7k6A1Do+WbqKn7hZ2YOehhEREfemy/UD3oIRERET5yuyvj516YPehhERLQHC9NFLEwzYJzoIOmqjC++yrkTHV45W8fbb80d9DCI6Dn0xtlxvHH2oEdBRE9KpWDjVz5/7KCHQUREz4DJagaT1cxBD4OIHlMha+Krn5076GHQE8J0OiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIioqeASRxERERERERERERERERERERERERERERERERPgZQkSXLQgzgq3nnnnYMeAhERERERERERERERERERERERERERERERHVKvvfbaff9cfUrjeKboun7QQyCiA+L7PgDeB4ieZ7wPEBHAewER8T5ARLwPEJHAewER8T5ARLwPEBHAewER8T5ARLwPEJEwuhc8CJM4HsLoxnr+/PkDHgkRHZR33nkHuq7zPkD0HON9gIgA3guIiPcBIuJ9gIgE3guIiPcBIuJ9gIgA3guIiPcBIuJ9gIiE999/f0+fJ+/zOIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiAhM4qB9EMfJQQ+BiB5RkvD6JSKiB+N8b38kScJnMREREe0J5wxEtFdcvxER7S/eZ4nujtcGEdHecZ+HDhLff0T0vGFcBh0m6kEPgJ4dfhDh4vUGBl6IfEbHiekiZFl6qmMIwhhLG10kCTBetmHqfIsT7UWj4+LyzRbiJMF0LYt6xXnkf6vZ8dDouLAMFWMlG5L0dO8DRES0f6I4waUbDbR7PmxTxanZEjT12c0Lb7RdNLseLEPFePnRn417fa3Lt1pIkgTTY9l9fb0gjLC00UOSAPWKA0NT9u21iIiI6MlbXO1gebMHVZZxYqaArK0f9JCOLD+IsLzRAyDmRTrnRfSMubHSxspW/4neL1pdD1ttF6auYrzMvT8ier6l91lFxonpoz0vW9nsYeCFKGQNFLPmQQ/nmbHVdtHqenBMDbWSfdDDeSru3EMuQlM5zyYiupeVzR4WVzuQJAnHp/J8Dh8Brh9iZbMPSQImKpkje1a63uzjRxdWEcUJzh+vYLaeO+ghEdEh1x0EWG/0oWsK6mXnqccGPwlrjT6uL7chSRLmJ3Io562DHhI9547mLIIOpVvrXQy8EADQ6vrYaA2e+hg+udHA6mYfa1t9XLzWYIUPoj26ttQW10sigkH8IHqkf6c7CPDJYgPrjQFurHTSQAgiIno2rDf6aPd8AEDfDbG80T3gEe2fds/HpcVm+kxb2dzfZ9qVpRbiOEGSADdWOwjCeN9e6+Prt+fMH1/bYpUJIiKiI6TvBmKtnQBhFOPacvugh3SkfXx9C6tbfaxu9XHxeuOgh0P0RPUGAVY2++n94voTuF/03QAXb4i9v8XVDm6tP7trQiKiB9lxnw2fzH32oCxv9HBjpYP1xgCXFpvo9P2DHtIzodX18Olwf/HachtrW/2DHtJTsXsPeYlnhURE9xSEEW6sdJAkooPR1aWjO594XsRxgo+vbWFtq4/VzT4uLR7d/aR/+ckyNlsumh0P33l/CZ4fHvSQiOgQ84MIH1/bwnpjgFtrXVxfOXrPrChOcG25veO5y1gJOmhM4qD9cwD3t54bpL/2gghhtH/Bb0TPkt2X66Nevv1BsOMvdwfBvT+ZiIiOnN3r12d5Odvb9Qzb72faju/tPn5j4zjBwL29Cev5EcLoWf5JEhERPeP4GH9kYRTD9W4XsRh4ISIWhKFnyJPa79uuNwi590dENLQf99mDsmMfLLlzX4wezdPeXzws7oiBOsoXBxHRPuM98+gJohh+cDsW7SjPmwb+7bFHUQLvEYu9EtHzYeCFOwqqPwvrGyZw0GFwpJM4rl27ht/6rd/C22+/jX/zb/4NPv3007t+3sWLF/Hv//2/x1e/+lW8/fbb+Na3vvWUR/p8qJcdGJpohZqxNZQLT7/VUN653abYNtUj27KO6GmbHc9CGnY4m6jevpYfVtbRd7RKK2SMJzE8IiI6JKpFC46lAQBMQ7TIfFblHD19NgL7/0ybq+fS15uq7V/rZVmWkNs2Z3YsjXNmIiKiI8Q2NdRKNgDxXJ8Zzx7wiI4uVZGRsbX091lbh3IE278T3UvG0lAtij16WZYwM/b494usrXHvj4hoaD/uswclv+1+LknYsXdEj273/mI+83x8X2vb9pANXUG98uzuIRMRPS5dUzBZywAQz+DZ+tGdTzwvdFWGZarp7/NHeF28MF1I5yqT1Qwy1vMxVyGiR2ObGtRtcQVHcV9QGa3dJQASMDuegyTxTIAOlvrgTzm8/uAP/gBf//rX8bWvfQ1/8zd/g2984xv45je/ueNzBoMB/uN//I/4kz/5E7z++usIwxDt9tFr5XMUmIaKF09UEMUJVOVgAsFOTBex1ugjSUSQIW+yRHtTzlsoZk0kSQLlMa5fy1Bxdr6EZseDZago5swnOEoiIjpoqiLj3LEygjCGqkjP9FzLsTScmS+j3fVgmxoK2f3dhKgULPHcfMxn8V6cmClivdEHAFQPIPGaiIiIHs9cPYepWgayJO0IpqaHd2qmiPXmAABQLdoHPBqiJ29+Io/psewTu1+Y2/b+TENFiXt/RPSce9L32YNSLVpQVQkDN0Q+Y8A2tQf/JXqgjK3jzFwJ7Z4Px9KOdJDnw1CGe8hhFEORn+09ZCKiJ2GymsF4yQYkicUljgBJknBmroT1xgCSBNSO8H7Sa6fGMFXNIopjjJedIz2fJaL9p6kyzs6XsNVyoWsKKkc0zmC87KRnAXzu0mFwZJM4Njc3ceHCBfz5n/85AODtt9/GH/3RH+HmzZuYmppKP+8v//Iv8fLLL+P1118HAKiqilKpdCBjfh5IkgRVObibmyxLGH+GK0IT7SexIHv869c2NW7wExE9456Xzg0ZS0PGenrPNOUJPYv38jqcMxMRER1tB1VA5VmjKDLnRfTMe9L3C+79ERHt9KzMy4pZE0UW/37iMraOjP18VrV+Vq4NIqKnYb+Le9GTpSryM9FpSpalZ+LrIKKnx9RVTFQzBz2Mx8bkDTpMjmwSx/LyMmq1GlRVfAmSJKFer2N5eXlHEsenn34KwzDwu7/7u1hZWcGpU6fwe7/3e4+cyJEkCfr9/hP5GoiIiIiIiIiIHtWt9S4+urqFL746CU1VDno4REREREREREREREREREREtAdHNokDwB2tN5MkueNzwjDEt7/9bfzX//pfUavV8J/+03/CH/7hH+I//+f//EivGQQBPvroo0f6u0RERERERERET8LAC/F//b/9M1pdH1eXW/gP//r8QQ+JiIiIiIiIiIiIiIiIiIiI9uDIJnHU63WsrKwgDEOoqookSbCysoJ6vb7j8yYmJvDmm29ibGwMAPCv/tW/wu/8zu888utqmoaFhYXHGjsRHV1M4iIiIiIiosPg2z+5hVbXBwD8w48W8b/+qxcgs/0vERERERERERERERERERHRoXdkkzjK5TLOnj2Lv/iLv8DXvvY1/O3f/i0mJycxNTW14/O++tWv4r/9t/+GbreLTCaDf/7nf8apU6ce+XUlSYJt2487fCIiIiIiIiKiR3bh6lb6604/wI3VDubquQMcEREREREREREREREREREREe3FkU3iAIA//MM/xO///u/jz/7sz+A4Dv70T/8UAPCNb3wDX/rSl/DlL38ZExMT+N3f/V3823/7b6EoCsbGxvBHf/RHBzxyIiIiIiIiIqJHd2mxseP3F683mMRBRERERERERERERERERER0BBzpJI5jx47hm9/85h0f/+M//uMdv//1X/91/Pqv//pTGhURERERERER0f6Johg317oAgLdeGMf3PljBrfXuAY+KiIiIiIiIiIiIiIiIiIiI9kI+6AEQEREREREREdHebbZcRHECVZHx0okqAODWGpM4iIiIiIiIiIiIiIiIiIiIjgImcRARERERERERHSGrjT4AoFa0MF3LAgCWNpjEQUREREREREREREREREREdBQwiYOIiIiIiIiI6AhZ3RwmcZRsVIoWAGCjOUCSJAc5LCIiIiIiIiIiIiIiIiIiItoDJnEQERERERERER0ha8NOHGMlG+WcCQBw/Qh9NzzIYREREREREREREREREREREdEeMImDiIiIiIiIiOgIWd26ncRhGiocSwMAbLYGBzksIiIiIiIiIiIiIiIiIiIi2gMmcRARERERERERHSFbLRcAUM5bw/+Lbhybw48TERERERERERERERERERHR4cUkDiIiIiIiIiKiI6TZ9QAAhawBAKgMkznYiYOIiIiIiIiIiIiIiIiIiOjwYxIHEREREREREdER0holcWREEgc7cRARERERERERERERERERER0dTOIgIiIiIiIiIjoi4jhBq+cDAPIZHQBQYhIHERERERERERERERERERHRkcEkDiIiIiIiIiKiI6I7CBDHCQAg54hOHKOOHO1hcgcREREREREREREREREREREdXkziICIiIiIiIiI6IlpdDwCQsTRoqtjWyTmiI0er5x3YuIiIiIiIiIiIiIiIiIiIiGhvmMRBRERERERERHREjJI48sPuGwCQH3bkaHXZiYOIiIiIiIiIiIiIiIiIiOiwYxIHEREREREREdERMUrUKGRvJ3HkMqITR6fHJA4iIiIiIiIiIiIiIiIiIqLDjkkcRERERERERERHRDPtxKGnH8s54tftvo84Tg5kXERERERERERERERERERERLQ3TOIgIiIiIiIiIjoiWqMkDmdbJ47hr+M4QXcQHMi4iIiIiIiIiIiIiIiIiIiIaG+YxEFEREREREREdETc7sRxO4lDU2U4pgrgdpIHERERERERERERERERERERHU5M4iAiIiIiIiIiOiLaXR8AkM/oOz4+6sbR7vlPfUxERERERERERERERERERES0d0ziICIiIiIiIiI6IroDkaSRsXclcQyTOto9duIgIiIiIiIiIiIiIiIiIiI6zJjEQURERERERER0RHQHAQAgY2k7Pp4dJnV0+8FTHxMRERERERERERERERERERHtHZM4iIiIiIiIiIiOiN49kjhGvx8leRAREREREREREREREREREdHhxCQOIiIiIiIiIqIjYtRpw9mVxOEwiYOIiIiIiIiIiIiIiIiIiOhIYBIHEREREREREdEREMcJ+u79O3H0mMRBRERERERERERERERERER0qDGJg4iIiIiIiIjoCBh4IeJE/Hp3J46MPezE0WcSBxERERERERERERERERER0WHGJA4iIiIiIiIioiNg1GVDV2XomrLjz0adOLoD/6mPi4iIiIiIiIiIiIiIiIiIiPaOSRxEREREREREREdAzxVJHLu7cIiP6QCA7oCdOIiIiIiIiIiIiIiIiIiIiA4zJnEQERERERERER0B3f69kzgytrbjc4iIiIiIiIiIiIiIiIiIiOhwYhIHEREREREREdERMOqykblbEsfwY6NuHURERERERERERERERERERHQ4MYmDiIiIiIiIiOgI6A18AHfvxDH6WLcfIEmSpzouIiIiIiIiIiIiIiIiIiIi2jsmcRARERERERERHQHdQQjg7kkco04cYRTDC6KnOi4iIiIiIiIiIiIiIiIiIiLaOyZxEBEREREREREdAd1hJ47MXZI4LEOFLEsAgN4geKrjIiIiIiIiIiIiIiIiIiIior1jEgcRERERERER0REwSs64WycOSZLS5I5un0kcREREREREREREREREREREhxWTOIiIiIiIiIiIjoDuMInjbp04gNvJHV124iAiIiIiIiIiIiIiIiIiIjq01IMewOO4du0afu/3fg+NRgPZbBZ/8id/goWFhR2f8/3vfx+/8zu/g7m5ufRj3/zmN2Ga5lMeLRERERERERHRo7vdiUO/65+Pkjt6TOIgIiIiIiIiIiIiIiIiIiI6tI50Escf/MEf4Otf/zq+9rWv4W/+5m/wjW98A9/85jfv+Lzjx4/jv//3/34AIyQiIiIiIiIiejJ6D+rEYQ6TOFwmcRARERERERERERERERERER1WRzaJY3NzExcuXMCf//mfAwDefvtt/NEf/RFu3ryJqampfXvdJEnQ7/f37d8nIiIiIiIiIrqb7gOSOGxLbPP03fCpjYmIiIiIiIiIiIiIiIiIiIgezpFN4lheXkatVoOqii9BkiTU63UsLy/fkcRx9epV/MZv/AZkWcbXvvY1/Lt/9+8e+XWDIMBHH330WGMnIiIiIiIiInpYo04co2SN3WxDJHf02YmDiIiIiIiIiIiIiIiIiIjo0DqySRyASNzYLkmSOz7n3Llz+Kd/+idks1msrKzgP/yH/4BisYhf/uVffqTX1DQNCwsLj/R3iejoYxIXEREREREdlFGHDce8RycOk504iIiIiIiIiIiIiIiIiIiIDrsjm8RRr9exsrKCMAyhqiqSJMHKygrq9fqOz8tkMumvx8fH8au/+qt45513HjmJQ5Ik2Lb9WGMnIiIiIiIiInoYcZxg4InkDMu8RycOk504iIiIiIiIiIiIiIiIiIiIDjv5oAfwqMrlMs6ePYu/+Iu/AAD87d/+LSYnJzE1NbXj89bW1hDHMQCg2+3iH/7hH3DmzJmnPl4iIiIiIiIiokfl+re7a9gP6sThsRMHERERERERERERERERERHRYXVkO3EAwB/+4R/i93//9/Fnf/ZncBwHf/qnfwoA+MY3voEvfelL+PKXv4xvfetb+C//5b9AURREUYSvfOUr+M3f/M0DHjkRERERERER0d6NunDIsgRdvXtNjrQTx4BJHERERERERERERERERERERIfVkU7iOHbsGL75zW/e8fE//uM/Tn/927/92/jt3/7tpzksIiIiIiIiIqInqu+KxAzbUCFJ0l0/53YnjuCpjYuIiIiIiIiIiIiIiIiIiIgezt1LNxIRERERERER0aEx6sQxStS4mzSJg504iIiIiIiIiIiIiIiIiIiIDi0mcRARERERERERHXJ9V3TXsIx7J3E4piY+l504iIiIiIiIiIiIiIiIiIiIDi0mcRARERERERERHXJ9d9SJQ7vn51ijThwuO3EQEREREREREREREREREREdVkziICIiIiIiIiI65AaeSMzYUycON0CSJE9lXERERERERERERERERERERPRwmMRBRERERERERHTIjbprjLpt3I09/LMwShCE8VMZFxERERERERERERERERERET0cJnHQvgijGK2uBz+IDnooRLRHfTdAp++zYi8R0TMmSRJ0+j76bnDQQ6F78IMIra6HMGLANRHd26gTh32fThymrkKSxK9HSR9ERPspCMU8holjRM+PKIrR7vlwfc41iIj2gntzRNz/JCJ6HK4Xot3zEcWM46DH5/p8PxERdfs+ugOu0elwuPfJP9Ej8oIIF65swgsiqIqM03MlZCztoIdFRPextN7FzbUuAKCQNXBypog4TiDL0gGPjIiIHkeSJLi02ESz4wEApseyqFccAOB9/pDo9H1cvN5AHCcwNAVnj5WgyDJ/NkR0h1HAz/06cciyBMtQ0XdD9N0AhazxtIZHRM+hvhvgo2tbiKIEqiLj7HwJ5n0SzXbjfJTo6PGDCB9d24LnR5Ak4MR0kfMNIqL7SJIEF2800O76AIDpsQzqlcwBj4ro6eoNxLohjhNoqoyzx8owNOWun5skCZIEXCcQ0XMtjhNIEiBJErbaLj692QQSsS98dq4ERWG9Zno0jY6LTxebSBLAMlScnS9BliU+e4nouXJ1qYW1rT4AYLziYHY8d8AjoucdkzjoiVtv9HF1qYW+G0LXFORsHSdniwc9LCK6j+XNXvrrjeYA3b6PMEqQsTWcmilyI4CI6IgaeGGawAGI+3294uD6churW32oioyTMwVkbP0AR/l8W93sIx5Wu/GCCO9dWkccA6oq49RMEQ6ToYloqJ924rj/fcFOkzhYHZuI9td6c4AoEvOYMIqx3hxgeiz7wL/neiEuXm/ACyIUcwYWpgqQJB4UEx12K5s9fHBlA6ubA4yXbWRtHatbPSZxEBHdR98N0e76iJMEyxs9XF1q4fRcCadmig+V/Ep0lK01bu9/BmGMzdYAE3dJZmp2PHx6s4k4STBVzWCiyoQnInr+3FzrYGmjB0WWsDBVwMpmDxg2TBi4ooNCMWce7CDpyFrd7CMZvZ+8ENdX2thqe4iTBNO124UAiYieVVEU49JiE2sNkcTR6QeYrmWZyEYHilG59MS1e34aLOIHERod94BHREQPoqm3HwfNrgfPjwAA3X6A1WH2KRERHT2aKmN7PJymyugObt/bwyjG9ZXOAY2OAEDTbj+D+26A1rAyYxjGuMGfDRFtMxglcdynEwcAWKZI8ui5bANMRPtr+14CAOj3qKa72821LrxA7Ds02h622tw7JDrsguH6RJFkJEmSrin3et0TET2vVFUGJKDb99EbBFBkGZ4f4eZ696CHRvTU7F43aMrd5w/Xllsi2SPZuWYgInpeuF6IpXWRtBFFCa4tt6GrO++Zu++pRA9j9/tnab2XPnsXVzsIQj57iejZFifARmsgEiQTYL3ZB+tL0UFjiQ964ko5E8WsgZ4bwNBVVIv2QQ+JiB5gYaqAa8ttRHGCGTPLqr1ERM8ITVVwfKqAW+tdKLKE+Yk8oije8TnJqOQKHYipagZBGKPvBsjaGjr920HXCfizIaLbBsM5uvWAaq3OMMmDc3oi2m/jJQeeH6HT95FzDNSK1p7+Huc4REeXY2ko5y30XB+FrLGn7jtERM8zQ1NwfDKPj65uwTJUjJV4ZkrPn3olA8+P0HMD5DMGqvdYN+zepua+NRE99xJgtp5FnCTw/AjVooWMrR/0qOgImxnPIYrF+6lSsLC80UO47dyYj14ietbJsoSJioP1xgASgBrX6HQIMImDnrhqwcL8ZB7dfgBDVzBZY6tTosPONjWcnS8DAIIwwsfXGhh4IWxT5YSFiOiIK+VMlHa1Vq4WLaw3BlAUCTPjuQMaGQGAoshYmCqkv798s4nNlgtVkTHDgCgi2mavnTjsYSeOgcdOHES0v+RhkvDDmqxm0O0HCMIY+YyOYtZ88F8iogOlqTKmxjK4udpFpWDiZybHUM7vLXGLiOh5V85b+OyLE/hksYF214euyZis8uyUnh+KLOH4tv3Pe5mr53D5lujGUa84MHWGshDR88U0VNQrDpY3epBlCTP1LDRVwcmZ4kEPjZ4RmirveD/pmowrt1pIEmCqlmG3TSJ65imyhNOzJdhmB4BYg0hsxUEHjCtfeuIURcbZ+TLCKIaqsJUf0VGjqQrOL1R4DRMRPcPmJ/KYGctCliUuSg+Z41MFzNVj/myI6A59VyRljJI07mWU5NEbsBMHER1Otqnh5ZNVRHHCfQeiI2SiksFYyYEEkcRFRER7Jw8DRcIohsI9H6K7KuZMvJoxkCQJFK4TiOg5NT2WxUTFgSRJXHfRvivnLRSzJhKIwGYioufBeNlBtWhzj5MODSZx0L7hISzR0cZrmIjo2caDsMOLPxsiupu+K5IyLGNvnTj67MRBRIeYJElQFR6QEB01DOogIno8PHchuj8RRMX5BhE933hGRE8TA5iJ6HnEPU46TDjzIyIiIiIiIiI65AaeSOIYddq4l9Gf99mJg4iIiIiIiIiIiIiIiIiI6FBiEgcRERERERER0SHX9x62EweTOIiIiIiIiIiIiIiIiIiIiA4jJnEQERERERERER1iUZzA8yMAe0niGHbicIN9HxcRERERERERERERERERERE9PCZxEBEREREREREdYoNtXTVGSRr34qRJHOzEQUREREREREREREREREREdBgxiYOIiIiIiIiI6BAbddVQFRmaqtz3cy1TAwD0BuzEQUREREREREREREREREREdBgxiYOIiIiIiIiI6BAbdeJ4UBcOALANdcffISIiIiIiIiIiIiIiIiIiosOFSRxERERERERERIfYwH2IJI7h5/SZxEFERERERERERERERERERHQoMYmDiIiIiIiIiOgQGyVkWMZekjg0AMDADfZ1TERERERERERERERERERERPRomMRBRERERERERHSI3e7EoT3wc9NOHG6IJEn2dVxERERERERERERERERERET08JjEQURERERERER0iPWHXTUephNHFCfww3hfx0VEREREREREREREREREREQPj0kcRERERERERESH2MAbduLYQxKHqSuQJPHr/iDYz2ERERERERERERERERERERHRI3jw6T/RAWl1PVxbbkOSgNnxHPIZ46CHRETbJEmCa8ttNDseHEvD8ck8FIW5gUT0/Gj3fFxbbiFJgJnxLIpZ86CHRM+IKIpxZamFbj9AIWtgrp6DNIrIJqLnUn+YxGGZD97GkSQJtqGi54boeyGK+z04InqmbV/7Z2wNxyYLUGTOS4ieddz3IyI6GIurHWw0B7AMFcen8tBU5aCHRHRfSxtdrG31oWsKjk3mYeoMPyGi59uNlTY2Wy4sU8XxyQI0leso2l+Ntosbqx3IkoS5iRyytn7QQyIiOtSaHQ/XVxiTTIcHZ4t0KCVJgkuLTXh+BNeL8OnNJpIkOehhEdE2G00X640BgjBGs+Ph1nr3oIdERPRUfbrYhOtF8PwIl2+2EMWcq9CTsbTRQ6PtIQhjrDcGWG8ODnpIRHTABu4wiWMPnTgAwDI1/P/Z++8gyfa7Pvx+n9inc5qeHDeHmyRdca+EjNAVjwXoZ4MEUlEqW2XKsg3IyGAwJUqgMqWfSLZRlRFQUpWxMdjFNYIiGD8S4bEBWeIKJBR3997duzs7OXc+OTx/nJ6euDupp8PM+1Wlquk7Pd3f1Uyf8w2fAAC6yU4cRHQyK0WjufYvViwsrnHtT3QecN+PiKj9SlULi2t1OK6PSt3GzFK100Mieqya4WBuuQbb8VHTHf7NEtG5V6yYWFrXw3t5zcbcCq+LdLo8z8e9uTC2zrBc3JstdXpIRERdzfeD5nVzMyaZqNOYxEGn5iSBjH4QXjQ3OY4Hx/FbMSwiahHb9XYkV7le7wYv2y6vL0R0NEEQwPN9+M3/BTvmLt3G9wMmxHY5w/aaX7vezvvS7sdEdP5sduKINZIzDhJrdOzQG8kfRESb3Mesf/fby/P2zEs4pyTqBqddRMDz9372fd9/7DWEiOisedS5wWldg/dee3nNpe7iuuFe+PbH2zmHnCewGBIRdbvjXqc290w2r4+HvS4SHZcfBNh+/Ls5f9x9Zs14GCKiUBAEjdiecG3jdXmcz+Ns/luo97GfJbWc5we4O1NEpW4jGpFxdSILVTm43a/nBzBMB67nY6NiAQjg+8BGxcTsShX35sq4MpHFN90Y3POzuulgeUOHJAoYLiQgs7U70b4cN6wYH9UUSKJwpJ9dKxko1ywk4ypcz8fMUgVzKzXkUxrSyQgG87FTGnVrOa6PhbUafD9AOq7ir76ygGrdRi6t4dueHYPKVs9EdAiCIMB2PXzuKwsIAuB11/ubLZE3q54fNtB2U6VuY61kIKJKGMrHIR7xOv0o92aLuDW9AUUS8fobg+jLRFvyunR0QRBgcb0O0/KQT2tIJyJYXq/jv/6v26joFob64njP/+caBnIxFCsWXM9HRJHQl+bvjOi827q3HG6uGoswiYPoPLEdD7bjIaYpj5xD+r6Pv/jSPOZXa4hGJLzw7DiyKa3xvQB3Z4so12xEVAnXJnOINPby+jJR3Jsroli1kYyqePLSzrX/SlFHtW4jnYhwnkl0CnZ/vl3Px8sPi6gbDuJRBVcnso/dC68ZDlY2dCiyiOFC4tD7gfm0huUNHabloly3Ua6Z+IsvzUFRRDx9qQ9PXiq06p9IRNR1TNvFn39hBsWqhUwygm/7pnFoqoyNiom/vb0E1wswPpjE9YkcpF3X4JpuY6VoHPm6CwCZRARaREaxYkBVJAz1JVr9T6NzZr1soFS1kIipGMid7Azva/dW8ZV7a5BEAa+/MYBLo1mk4ipEEVhYrUORRVwcTTef73k+DMtFRJWb++am7eLlh0VYtodMMoJLo5mW7YETEbWC43r4xv11lGsW8ukork/uvdc/Tjqh4NaDdSxv6NBUGd/zwqWWjs/zAyys1lCsmBBFAbmUhsEWnidS71FkCf25GFY2dADASCGBr7yyildmi0jGFDx7fQB//jezWN7Q0ZeJ4rvffOnQZwxERGeRJIko1kx87isLAIBvfe1oT95HS1ULf/XlOZi2hycv9uHaZK7TQ6IT4J2ZWm61qKNStwEAhuVica2OiaHUY3/G9XzcerDebLU62BdDLKIgGVcwt1JFvBEE+crDIi6OpJHfFsjmeT7uPCw2s9l1y8W1CV6YiHar6jZefliE7wfQIhJuTOUPnfBUrJi4P18GACyt69BNB+lEBKMDSQR+gKcvF3omeerubBE1PQyC++uvL8JxfYiCgI2yidsPi3j6Mg+hiehwZpaqKGRiCBBgcV2HbbtYWNebG2VDfXGMDSQP9Vqm5eLlhxvNaimu6x84fzqMmmHjb24tN6sG/fXXFvH//L0LJ35dOp65lRoW1+oAgLWygScu5PHH//c+VksGbMfDWmkdnxJfwVufm8BTl/tg2R40VTrSIQERnU1GoxNHNHLIJI7GGtqwnFMbExF1h1LVwt3ZIoIAiEcVXJvM7Rss+HCpivnVGgDAsDx88c4Kvu2bxgGE85JyLdzLs2wP8ys1XBgJA7DqpgNFlpBJRqDKIqq63bwWrZUMTC9UAADrZROSKDQTQ4jo5Pb7fC9v6Kgb4f29bjhYWq9jtH//dafjergzvdGsyGY5Hi6NZg713oos4YmLfXh1rgQ/CPB/v7oIz/fRn4niK/fWcHk8C42FUIjojLr1YAPFqgUgvBZ//dU1PHGxDy99fRHrZRMA4HkBcikNw9sSLWzHw53GGQwQFpTanFMdVoAAgiBAEAR21aUTKVUtvDoXnuutl00IAPqPmcihmy6+cncNQPi3/7e3V3BpNAvb9eD7QCYZgSSKqNRt5NNR2I6HWw/WYTs+JEnA9ckcYpqC+ZUarEY34lLVwnrZRCHLRHAi6h7358u49SBcQy2u1ZGKqxgfPPxZ3cxSFaIooJCNQhJF3J0tPXK9dhwPFyuYX6ni4XIVAgRMDqXgev6Rxkhnz+RQCv3ZKERBQLFq4v/3xRnYjg8IwJ1G8iQAzC5X8fmvL+Ctz453eMRERJ1jOR6+/up6o4iVgC/fXcWbXzsKUeyteIw/+8JDvLpQBgJgca2OwXwUmSTXVr2qt/76qCcdZotxo2LCtDw4rg/X81FqbI66rg9Z3vlnunvT0nK8He1aNw+xiGinpfV68/DAtDxsVMxD/2xt1+fKbCz0JEGAFpF7JoED2HmNcFx/R2sxHooQ0VHJsghFDqsU257fTOAAgMX1+qGvK7rl7mh3u/u6e1y27e1o+2zYrMjeSXVz2+81AOqG22xhbLnhvdX2fKwWDfh+gHhUYQIHEQHY6qhx2CpZUY2dOIjOi6X1enMeWTcclGvWvs877nK3bjiQRBFRVYYkijvW1Lv34Fo1hyWi0OLa3s/37jXm4z7bhuXt2Pc66r65JArwgwCSKIZvFCBcvwSA7x/880REvcrfdZELgjCxfvs11bLdPQegu59z1OtuqWbBsjxoqgxRELC0Xj/64IkadHPn31/dbN1cfXM+sllwQmt029j8m18rGWHwKMKkj+Vte+ZERN1so2I17+WuF6B4hHiKTaIgQJWlsMBGi0MP6oYDy/GAILwW246HusH9XwqLOmkRecc9GAGwXjJ2PM+0+PdCROeb5wfwXB+SJEKSBLi74gZ7xUpRb84zDMvFRmX/cyHqDYwIopYrZKJIxMKqnxFVwlBf/MCfURrBaaoiQpbEZpuiTDKC110bgCSFjy+NZdCX2VklRFNlaBGp+TiTiLTk30F01uxOtFCOEBSaSUaARiFPRRZxaSwDABCEMLO/l2SSW9eIqxM5pBvXjGwyghtsL0ZER/C6awMQBAAC8PSlPsQiyo5Wi7IoQhAO13oxEVV2XKezydbMZ9JJDYP5cO4kCAIuN67f1Bnb56miKCAZV/Dm14xCUyWICP8ObkzlIAjYt4I2EZ1fR+7EEWESB9F5sWetL++/1p8cSmIwH+7RRVQJr7m61YUyn44iFVfD7ykShgtbe3mZxNZ+ALBzTZ3evgcn7HpMRCe2+/OsyCIGcvFmsmZUk5uf6/3ENBmqsvUamWOsMzfXMJdGMxBFARFFwpOX+g6dWEpE1ItuTPUhnQjnRsm4ipsX+pCIKihko1CV8DyyLxvb09Ugpik7rt1Hve7untf1UvEs6j6pRATbt6ZPMlePaTKevNQHIDwXfP31AQB797Q3/+Z3F2jcfM5IIdGoeAukEiryaXbxI6LuMpiPNtdQmiofuYPR5FAa/bmwCnY0IuGZK4UDfuJoMskIoo2zSFkSoanSsdZ5dHYN98WRiIbxeqIg4HXXBxBvPI5pMp69NtDJ4RERdVwsIuPmxTwaYT548nIfZFk66Me6zsRQCmJjwZdORDCQPV7XReoO3GmnlpMkETem8nA9/9AbjNlUGGC4UTHx5KU+pBIqoqqMZCxcgLzrhSvwfR/qPi3aRVHA9ck81koGJElAIcPWQET7GRtIwnF96KaDXEpDNnX4zdFkTMWNyRwquo1EVEUqrsLzAwjAjoDl0+C4HoIAzcORk7o4ksFa3IAfBOjLRPHczUGYtgttn+sLEdHjXBnP4sJwGj4AtXEwdWk0g5nlCgRBOFKSm6pIuDGVw0bVRESRkE+3Zj4jiQLe/NoxzC5XoCoyRgoHJ9fS6RnMxxFRJBi2i2xSg6bKuD6Vx79+z+swu1hCzfagSBIujqTZgYOIdjDMIyZxaOHBzO7Km0R09owPJuH6PizLQyEbRTKm7vs8URTxbd80DtN2ocrijvbgkijg2mRu3728REzFjak8KnWruR+wKZOM4NpkDjXDRiqmIhFTYTseBAHNbnVEdHyP+nw/ebHvUHvvcmOffr1sQpFF9D1m39zzAziOh4gq7ShGsLmGGR1I4K2vH0ckIjfXv0REZ1VMk/EP/t5FmLYLSRThBwEUWcJTlwsYHUhCFsV9gzoVWcSNC3lslE2oinjk/b10IoLhQhzrJRNaRML4YLJV/yQ6hxJRBdcb8/i4ppw44frpywVcn8pDxFaShucHuDKRQaVu79jTLmSizS5iiaiK4UICAKBFZDx1uQ+eHzBJiYi60vhgGp4HlGsmcunoY5PmtwuCAJbjQZFE/P3nJvfde2mFsYEkYlrjrE8AUvEIckeI+aCzL5+J4Tu/eQr3ZktIxhS89toALMfDeklHPhNDMqbC83w4no+IIh26GCER0Vny7c9P4sZkDoIkYqy/N9fdL7xuDJlEBIbl4fpkFvFHnAtRb+jpiNXp6Wl88IMfRLFYRDKZxM///M/j0qVL+z7Xsiy84x3vgKZp+L3f+702j/RscD0f1bqNiCo1A0Ie56ibL+ODKYwPbgU7LqzW8JW7ZQDA6EACw32JR/6sIouH6vhBdJ7Jkogr49lj/3yiEZCxqR0VwhfX6phdrgIARvoTGGls9AZBgFLNgigIR954FkVhzwELEziITs5yPNQNBzFNPlefqd1VxTLJCDLJ41XW0SIyhiOPnu8c19xKFWslE4IQVv5pVYIIHU82pWH33TiTjMByklh/sA4j8FDV7SMlWxLR2adbYTLGYdbiABBvVMfW2R6d6MxTFQnXJg7fVfJxc/VH7eWpsghN3T9wOxXfSuyYXa5ica0OCMDEYAoDR6xYSUQ7Pe7zfdi9d1XZv1N2uWYhCIB0QoVhubgzXYTr+YhHFVybyO5IKt9vDUNEdB7UDQf358sIAqCQjWJqOP3Is0rH9VDVHUQj8onOK0f7kxjt0SAS6j6JqNKsxt0K29cD9+ZK2CiHe86XRjM79jIFQcDUcHrf1xAEAbJ0tPPFk5wJEhEdhSQKuHTEjvaVuo070xvwfB+KLOHqRPaRBTZaIZ+O8pyPHmtqOL3jPqwqUvNvsqrbeGWmCM8LkIqruDKeRVW34QcBMokIkzqI6FxYXK/jwWIVggBE5P33TrtdVFPwzU+PdHoY1CI9HWH34Q9/GO9+97vxzne+E5/+9KfxoQ99CC+++OK+z/3Yxz6GZ555Bnfu3GnzKM8Gx/Vx6/46LMcDBODiSPpUFwaeH2BupdZ8PLdSw2AufuoV/4moe/h+gNmVavPx/EoNg7kYJEnEKzNFlGs2AGAgH8PE4OGr3RNR6+mmg9vTG/C8AKIo4NpEdkfSF3WOYblYLRoAgCAAZpaq3NztUl+8vYyNigkgDKga6ouzgjURNW124ogdshNHtJHssflzRETHZVgubj1YP3Cu77h+mMABAEGY0MEkDqLudH++jLVSuE7MpTRACAs4AWHA8nrFRH+Wn18iopmlKoIg/Hq1aGAwH9+3O6LlePjG/XW4rg9BCLv3MtCczrKa4WCjHO5jBkF4jn+aBWnuzpZQqloAgIFcDBNH6IBNRHSaVjZ0fP3VNSys1aEqEsYGEphfrR2p2AZRO82v1uB54QS3Urfx9ftrMC0PQFjk4cp4lokcRHSmeZ6Pv729jJoeFs+r6jb+n2++wJhk6qieTeJYX1/HrVu38Ou//usAgLe97W34yEc+grm5OYyOju547t/+7d9ienoa3//933/iJI4gCKDr+oleoxdtVExUalv/7tmlIqJKcGrv5/sBbNtqbo6KImAYOieLROeIIACiIMBvXAgEIazQY9puM4EDCA9PmMRB1FkbFbO54eP7AdbLJpM4usTuxSYXn92rUreaX9cNB47rM4mDiACEQZW2GwZWRrXDbePEGs+rm86pjYuIzofdc/21R8z1wzU7tvbyuIdH1JV8P2gmcADhZzyb2hlo3I7uu0REvUCSBDjb8uIfta9WrJhwG2u2IABWSwaTOOhM2/1ROM09Z8vxmgkcALBS1JnEQURdY7m4FcNkOx5M2+N+CHW13X+fxYrVTFIu12xYjvfYLr5ERL3O8wPUja2z01rdQRAEAHj/ps7p2Tvv4uIi+vv7IcvhP0EQBAwNDWFxcXFHEoeu6/jZn/1Z/Nqv/Rqmp6dP/L6O4+D27dsnfp1eo1s+Zle3NkjScQlebfFU39M1PCwXHUAABjIK7txZO9X3I6LuIggCLo6k8WCxAgTAxFASoihAkUSIogDfDyNDIgoDXIk6LaLsnFJGVH4uu0VEkTA+mMT8ag2SKODCyP5t7KnzJoZSeLhYhR8EGMzHEOEmKRE1GNZW1NB+VV/3s5nEobMTBxGd0O4196PW4LIkYmo4jYdLFYgC551E3UoUBSiyCKcRbCxLIsYHkrAdH4blIpfSwu4cRESEqeE0Xp0rwfMDjBQSj5wH7d4L5ZkFnXUxTcFofwILa3UosojJU0yqkCURkiQ0E8t59kBE3SSiSIhHFWSSEVTqNlIxFeODyU4Pi+iRxgeTsBwPlu2hkImiUreb5w+bsThERGeZIosYKSSxuFYDBGCkkIDEax91WE9HBu3uyhAEeztD/OIv/iLe8573YGBgoCVJHIqi4NKlSyd+nV40XjKwXragqRLG+uO8gNG5dB6TuDopm9L2tGCWJBFXxrOYX6lBFMEuHERdoJCNwnLCLjnJmIKBXKzTQ6JtBvNxDObjnR4GHeCZK/3IpTQEATDSn2D1WyJqMhqJGKosQj7kOjwWUXb8LBHRcfVlos3qt4mYgsH8o+f6fZko+jLRNo6OiI7j6kQWM8tVIABGB5KIqDJuXsh3elhERF0nGVPxzJX+A5+XTWoYG0iiWDUR0xSMFBJtGB1RZw0XEhhuw9+6JArNM0FBAMZ5JkhEXWSzmEWicTaaT3NPhLqbpsp48mJf87FpuZhZrsLzgvBsknGARHTGCYKAZ28MYG45BgjA+ACTL6nz2prEcefOHVSrVbz+9a8HANTrdfy7f/fvcOvWLXzzN38zPvCBD+xJzHiUoaEhLC0twXVdyLKMIAiwtLSEoaGhHc/74he/iL/8y7/Er/7qr8KyLJTLZbz97W/HH//xHx/r3yAIAmKx8xmYOBGLYWK406MgIgJScRWpqVynh0FE24z2JzF68JkmET1CNCLj6gTvbUS012YlrKh2+C2cZicOyzngmUREBxspJBiMSHSGxDQF17j2ICJqqaG+OIb6WESF6DQkYyquTXLuQkTdR5FFXBrNdHoYRMemRWRcGc92ehhERG2ViCpcX1BXaWsSx8///M/jxo0bzSSOj33sY/id3/kdXLlyBZ/85CeRy+Xwj//xPz7Ua+Xzedy4cQN/+Id/iHe+8534zGc+g5GREYyOju543h/90R81v37ppZfwC7/wC/i93/u91v2jqGcUKyZKNQsxjRXCidqtUrexXjYQUSUM5eOHTtgjIqKjsRwPi2t1CAIw3JeAIrNiylmyVjJQ1W2k4iorOhGdI3qjm0Y0cvgtnM2ED52dOIhom3LNwkbFhKbKGMzHuDYnOiN008Hyhg5ZEjHcxw7aRERnjev5WFitwQ+AwVwM2hHWhkRniWG5WFqvc85D1CF24/wJAjCUj0NVpE4PiYhO2eZeYjQiYyDHvUQiOhu2z2mG++JQZM5pqLPaustz9+5d/KN/9I8AAEEQ4I/+6I/wwz/8w/iBH/gBfOxjH8Pv/u7vHjqJAwB+5md+Bj/5kz+JT3ziE4jH4/iFX/gFAMCHPvQhvPDCC3jrW996Kv8O6j3lmoW7s6XGIwNBEGAwz4o4RO2gmw5efriBIAgfe16AMbYjIyJqOd8PcOfBBizHAwDUdAc3L+Q7PCpqlfWygfvzZQDAatGAIAjIpbQOj4qI2mGzE0csohz6ZzafyyQOItqkmw5emSk21+au53NtTnQGuJ6PO9NFuJ4PIJw3sIomEdHZcm+2hErdBhAWrHvqcgGSyAA6Ol88z8ft6Q24Luc8RJ1y5+EGTCs8f6rUbDx5qa/DIyKi01Q3HLw8UwQ243z8gJ16iehMuD29ActuzGnqNp68yDkNdVZbkzgqlQoymQwA4M6dO6hUKviO7/gOAMAb3vAG/NZv/daRXu/ChQt48cUX9/z3j370o/s+/7nnnmMXjnOqbjo7HxvOI55JRK1mWG4zSATg54+I6LS4nt9M4AD2zn+ot9V23T9rus0kDqJzYjOJY7O7xmHEGs91PR+O67GKDBFBN3etzTlXJDoTLNtrJnAA3HcjIjqLtu8JOa4Px/EgsRsHnTOW4zUTOICwgBERtY/r+c0EDiDcr/T8gEmFRGdY3XSaCRwA9xuI6GxwPb+ZwAEAhunC9wOInNNQB7W1x2Qmk8HS0hIA4KWXXkI+n8fExAQAwHEcBNtPEolaKB2PYHtXt0wy0rnBEJ0z8aiyY7KTTvDzR0R0GhRZbAbtAkA6rnZwNNRqme33T4H3U6LzRG8EWkePEKSjbXsuu3EQEQAkYrvW5nHOJYjOAi0iI6JsJWty35uI6OxJJ7b2+KIRGarCJH06fyKqjIi69be//XNBRKdPlkTEo1tdgpMxlQkcRGdcKqYyzoeIzpzdc5pUXGUCB3VcW8t0PPvss/jlX/5lFItF/Jf/8l/wrd/6rc3vPXz4EENDQ+0cDp0j8aiC61N5VGoWYprCwyyiNtJUGTemcihVLURUCfl0tNNDIiI6kwRBwLXJHFaLBgQBKGRjnR4StVA6EcHViSxqhoNkTEWKSTpE58ZmJ47YEZI4JFFANCLBsDzopssDFiLi2pzojJJEAdenclgrGZAlEYUsP9tERGfNxZEMVuMGPN9HIRNjgAmdS5Io4MZUDqslA7Iooi/DOQ9Ru12byGK1ZADg+RPReaBFtvYStYiMXErr9JCIiFri2kQWK4ypoS7S1iSOf/2v/zX+2T/7Z/joRz+K8fFxvP/9729+79Of/jSefvrpdg6HzplEVEFiWyYdEbVPTFMQ0/j5IyI6bbIkYqgv3ulh0ClJJyIMxCY6hzaTOKLa0bZwYprSSOJgm3MiCnFtTnQ2qYqE4UKi08MgIqJTIooCBnIMLCFSZAnDfZzzEHWKJIkYzPP8ieg84V4iEZ1FEmNqqMu0NYljbGwMn/70p1EqlZDJZHZ876d/+qdRKBTaORwiIiIiIiIioq6mm40kjiN04gCAmCZjvQzojSQQIiIiIiIiIiIiIiIiIiIi6g5iJ950dwIHAFy9ehW5XK79g6Gu4/sBKnWb1UKJuoBuOqjUbQRB0OmhEBF1DdfzUa5ZsB2v00OhM8jzA5RrFkwGXRNRw2YnjthRkzgiYYUs3eDamoiOrm44qOrcDyDqFVxHEBGdDsf1UK5ZcFzuAxIBQBDwHJ+IzifTdlGuWfA8v9NDIWop7gES0XlU023UdLvTwyAC0OZOHADw6quv4ld+5VfwhS98AaVSCS+++CJu3ryJj3/843j22Wfx/PPPt3tI1Ea66eDBQgW+H2C0P4FsStvxfd8P8PLDIqqNi+TEUIotgok6ZGm9jpmlKgAglVBxdTwLQRCO/Xqu5+PBQhm66SKX0jA2kGzVUImoC/l+gAcLZdQMB+lEBBODyRNdQ7qF7Xj4xv11OK4PURRwbSKLREzt9LCoh22/P2YSEVR1O6y6LwAXR9LIp6OdHiIRdVizE4d2tC2czeezEwcRHdXcShULq3UAQDYVgSJLKNcsJKIKJofTkMTen9cTnSWe5+PW9AaMxjri0mgGuV377o/jej7uz5dhWNyzIyLaTjcd3J7egOcFkCUR16dyezokrhR1LK3XoUgSpoZT0I6YfE/US4IgwCszRZRr4Tn+6EACw32JY7+e5Xh4sFCGZXsYyMUwmI+3aqhERC1Vrll4ZaaIIAAiqoSbF/KQpdOpmbxeNjC/WoMsiZgcSiGmKafyPnQ+Oa6H+/NlmLaHQjYK3w927AFeHst2eIRERKfvq/dWcedhEQDwxIU8bkzlOzwiOu/a2onj9u3b+N7v/V584QtfwDd90zfB87aqltTrdfz2b/92O4dDHXBvroS64cCwXNybK8Fxd2ap102nmcABhEHkRNQZ2z9/lZrdDB47rvmVGooVC5btYXGtjo2KedIhElEXW1yvY71swrI9rGzoWC0anR5SS6yXzeb8xfcDrJyRfxd1zvzq1v3x/nwZyxt6+I0AWFrXOzs4IuoKm504dgcLHSS2mcRxwnk8EZ0/2+cgD+YrmF+pwbI9rJdN7tURdaFy3Q4TOIDGOuJon9O5lRpK1a09uyL37IiIAABrJQOeF1Ykdj0fa6Wd+4Cm5WJ6sQLT8lDVbTxYqHRimERtY1huM4EDOPne5cPFCio1G5btYWapijo7iRJRl1re0LHZpMCyPRQr1qm8j+14eHW+DNPyUNMd3J8vn8r70Pn1cKmKcuPeO7dc2/E3VqxYsBx2nyOis812PHzt3jps24Nte/jKK6vwfXYios5qaxLHv//3/x5Xr17Fn/7pn+IXf/EXd7Tieuqpp/C1r32tncOhDtietBEE2NNqUJFEYFsxP1WW2jU0ItpF2f75EwBZPtktY3fS1u7HRHS27PnMn5H2wqqy81qonPDaSOQ4W58NWRLgeltrJP59ERGwlcQRixyt6trm83WTQRBEdDTb5yA+gh2dN7iWJ+o+6q51w1H31B3X2/WYn3MiIgBQlZ3X0937NI7nA8H2xwx6o7NNkUVsb7Z90r1LnhsSUa/Yfb3bfVbYKu7uuQWvi9Ri7q6/qe33dVEU2H2XiM48ATuvfeBlj7pAW6OCvvSlL+F973sfotEoBGHnJ6Cvrw9ra2vtHA6dkOP6mF2u4uFSBfYhs3GH+rbaoGZTkT1thbWIjAvDaUQ1GamEiqmRVEvHTESHd3EkjVRcRVSTcXEkjYhysqSqgXwMYmPRF1Ek5FKRVgxzB910ML1YwfxqDR4zZYlOTalq4cFCGSsbj6601Z+NQpLCz7wii8intXYN71Tl01EM9cURjcjIpzUMF47fLp4I2Lo/er4P0/aQS0UgSQLSCRWTQ5wLExGgW2ESRlQ7XieOzSQQIqLDmhpOQW90y705lUdEDfcDJElAfzba4dER0W6JmIrxwSSiERmZZAQTQ8kj/fxALr61Z6dKyKa21u9rJQMPFsrsqEtE51J/Nob+XAyu58NxPew62kZcU5CKq+EDARjMx/e+CNEZYTkeFtbqiEZkqIqIZEzFpdHMiV5zMB9rBk3Fo9s+T0REXWZsIIlcSkM0ImO0P4F0ovVxDgCaa7pN2+Orut1GxcSDhfKezmXUXQbyseacNqrJeOZyAYmYgpgm49JoBq7r4+FiBXMr1T1FmYmIzgJFkXB9MgvDcmFaLp64kG/uixJ1ytEiAFpAUfavHFkul6GqXJj3kldmis22pqWqhScu5DG7UkPdcJBNRTDctzeocbgvgUwiAt8PkIjt//vuy0TRl+GBMNF2QRBgbqWGSt1GKq5itD+xJxmu1bSIjGuTuZa9XjKm4qlLfbAcD7GIDElqbR6h4/q4Pb3RbG9uWO6JN5CJaK+abuOV2SIQAKsw4AfBvgeUMU3BU5f6YFgeYpoMucWf+U4aG0hibOBoQTGdVK5ZWFitQ5IEjA8moaltXwLQY2zeH796bw2JWNitThZFXB7LnvqGwWrRwGpJR0SRMDGUOlOfU6KzxDDDJIxo5GjX782kD91kEgdRL/D9ALPLVdQMB9lkpKPJwvMrdcS0cA93vWzg5oU8TNtDNCLt7NpJRIfi+QFmlirQTRf5tHYqQb6D+fixXzcV33/PbrUYJnBsfn1lPLsjoIiI6KwTRQHZZKRZyObhYhUCBPTnYs3vXxnPom46UCRxT+E63XQws1wFAmB0IIlE9GjdFYm6he8HuPNgA1ajqGMipuD61MnPD/PpKOJRBY7rI64pp7oX2o75GBGdLb4fYGa5irrhIJfScGksc+rvKQgCLo9lUDccSJJ45P3gTilWTdybLQEI146CEF7jqftkkxqeulyA7XiIaQokUcCNqXCd73k+vnJvrdmtQzddXBnPHvq1m3NfAGP9ScQ59yWiLiVJIq5MZBtdOZjA0Sm751q9lLzaam2d8V29ehV/9md/hje/+c17vvdXf/VXuHnzZjuHQycQBEEzgQMALNvDzHIVq8Uwq7puOIiq8o6qXZs2D4GJ6PBWiwYW1+oAws+XIos9ucGoKtKeFuStYtpuM4EDAOq685hnE9Fx1QxnRyvfmu4A+f2fq8gM8uo0x/Vxd7YEv9GdyHF93LzwiF8YdYyqSPCDAJIYBktZjgfH8xERT+/zUzOcZkBWDQ4EQcCFkfSpvR8RHd9mJ43YUTtxRMK1t25yXkzUC5bW61huBAjWDQcRVerYgXfNsJtf244PPwhYFZfoBBZWazv2zTVV7rpkiP327LZfCzYfd9u4iYhOW33Xeqqq280kDiBM5Eg+omjdKzNF2E4YBPfKwyKeuVJghU/qSY7nNxM4gMYZQYtoqgytDUuN+ZVdcQwR+dQq6RPR2TC/WmsmcobrOGnf+KdWEwThkQVxu1VN3z1fcpjE0cUiioTIPjE7luM1EziAvb/Xg7z8sAin8fMvm0W85kqBwdFE1HVcz4dpeYiqW4XwfD/gWr0DOjXX6kZtLbX63ve+F5/61Kfwsz/7s7hz5w4AYHFxEf/pP/0n/O7v/i7e+973tnM4dAKCIOw4vI1p8p5Wats3c4joZHZ/nvj52isakaHIW7e1VKK3NjeIekUqrmL7fgs/a93Ncb1mAgfA+0c3S2+bW0cjMlT5dJdq9u65hc2/DaJupVvH68QRYycOop5i2t2z7t8ezBTOS5iYTXQSu+favbIu2xHYKACpOAMdiej8ScVUYNte6GGT2Xw/aCZwAGGgiB8Ej/kJou6lymKz2yewcx+zV+w5Z+VeKBEdgPEZh5eK75wv9eJ9goCIKu9I7jhKDIDnB80EDgBwXX/H+TQRUbeQJXFHp6BkTGUCR4dwrrWlrZ04vvM7vxMzMzP4+Mc/jt/8zd8EAPzwD/8wJEnCBz7wAbzwwgvtHA6d0OXxLFY2dARBgP5cDHXDQbFqIQgAWRbPbWYU0WnIpzUsb+jN7M8+Vi7YQ5ZE3LiQx1rJgCKJKGT5/xHRaYhpCq5P5VGqmohrCu/3XS4akZGMqajqYQXVfl4bu9alsSxWi+G9vpCNnXp1mlRcRUSVwgNLAbxvEnUpzw+agQXHTeLY7ORBRN2tLxPFetlAEACSJCCX7Nw8+9JoBivb5iU8xCA6mb5MFMWqubVv3iPdLHIpDVfGs6gZNlLxCDvyENG5lIipuD6ZQ7lmIR5VkD3kHE0UBRSy0Wbl/2wqAllqa21FopYRBAHXJnJYLeqNv+3YwT/UZQqZGEqNOAZFFtldjIgOVMhEUayYjH86hHQigmsTOVTqFpIxlZ2OepQkCrg+lcNayYAoCug/wv1eEgXk0xrWyyYAIJfWIHHuS0Rd6upEFitFHQIExs90EOdaW9qaxAEAP/ADP4Dv/u7vxl/91V9hfX0d2WwWb3rTmzAyMtLuodAJSaKAob5483E6EcETF/tgWi4SMQUKq/QRtUxMU/DkpT7UDQcxTYamtv3y3RMiioSRQqLTwyA68xJRBYlt2enUvQRBwNWJLMp1C7IkItljLZjPE0kUMJiPH/zEFpElETcv5FGt24ioEmIaP9NE3cjcloAR046axBF+rnXzaG3PiagzUnEVT17sg265SEQVqErn9tXENs9LiM66TLJ3980zyQiDHIno3EvG1GPtqU0Np5FLaQgCIM1uxtTjFFnEcA+fv/XyfIyIOoPxT0eTiqtM/D8DVEU69v3+4mgGfRkLAPi3QERdTZZEDPf17trmrOBca0tHooAHBwfxrne9qxNvTacsGpGPXB2UiA4nokg72hcSEREdhigKh64SSOeLLJ3vigZEvUA3wyQOWRKOvHm1mfSx+RpE1P20iAyN+2pEZxL3zYmIzidWoibqHpyPEdFR8bpBdDSc+xIR0VFwrhU69f8HFhYWjvT84eHhUxoJUWd5foCF1Rosx0MhE+XklVCuWVgtGc3uEaIodHpIRES0S7FiYr1iIhqRMZSP81pNbbO0XkfNcJBJRNCXYRtPovPKsMIuGsfZwNrqxMEkDqJepJsOFtfqkCQRI4UEFFns9JCI6BT4foDF9ToMy0U+pTHJmojonCtWTayXuRdJ1Cm242F+tYYgAIb74kyyJzqEzf0LWQo79nD/gohajbFVRNRKpu1ica0OABguJFhQmzru1FedL7zwAgTh8DfP27dvn+JoqN2WN3SsbOhQFRFTw2mo5/iiN7NUwWrRABAGhD55qQ+ayo2f80o3HbwyU0QQhI99P8DEUOpEr1muWZhdrkIQBEwOpRCPKi0YKRHR+VUzHNydKwHbrtVjA8kd33+4WEEQhP+dCZp0EnXDwXTj70lTJWxUwpbDG2UTksRuKkTnlWGFCRhR7ehz+1hksxOH09IxEdHp8zwfd6aLcD0fAGCYLq5P5To8qlBVtzGzVAUAjA0kkYqrHR4RUW+bX601Dw03KiZuTOWRaPOenuf5eLBQgW45yKU0jPYnD/4hIiLaYXa5imLVRExTMDWUgiQdPYC1bji4O1t65F4kUTdbWKthvWQiokqYGk73bBD3KzPFZjGMcs3C05cLDBQleow9+xeWi2uT3bF/cVKe5+PBYgW66SCb1HhPpp4UBAEeLlVRqVtIxlRMDKZ67r5mWO6O2CrPDzB5wtgqIjq/giDAy9NFWI4HIDzveOpSocOjOjrTdjG9UIHj+hjqi7MoaI879Qjyn/3Zn20mcbiui1/7tV+Dpmn4zu/8TvT19WF1dRX/63/9L5imiR/6oR867eFQG9UbgY0AYFjA9GIFV8azLXltz/Nh2B40VYJ8jI3QTqgbW4EzQQCYlsckjnPMsNzmIgMA6icMrPI8H3dnS/D98EXvzZbw9JXemGS4ng/T9hBVpWMdbBARnRbddJqHps3HCDeHDMvFnel1+OG+NO7OlvDaq/09t/FF3ePebKm5WTC9WEE2GYHrB1BlEYbpIsvzAaJzaTNwIHasThzhz9iuD8f1ezaAgug8sl2/GQABALrVPclYd2dKzbHdnS3itVf7j1TAp5X8xrxcVUQo8vktHEO9bUeyZRAmbbU7iWNupYaNigkAWFitI64pLesIYlou/CBodggjIupFm3uBjzqT3KiYzYQ80/KgyiLGB48eWKab7o69yJOeGxG1S7lmYXapCsvxIEsiZEnEhZF0p4d1LLq11c3UaazLVJFrDaJHsRxvx/7FWbp3za/WsFEO10mLVh3xqIIcOyceCuM/usdm4WUAMC0DmipjqC/+2J/RTQeiKHRNPNvu2CoWrSKik/D8oBmTAYRreN8Pei7O58F8BRsVE57vQ7ccJKIKuwj2sFP/zb3zne9sfv1Lv/RLuHjxIj7xiU9AFLcmau9///vxz//5P8fDhw9PezjURo7rP/bxcVmOh1v31+G4PmRZxI3JXE9chHIpDbpZAwAossguCedcMqZClsTmpsZJF/yeHzQTOADAdr3HPLt76KbTrM4RUSRcn8qd6449RNRdUnEVkiTA88LrazalwXE93HqwAdNy8epCGWOFBCKqDN8P4PXg4o66x/Z7tyyJuL9QhgABqiyemcpVRHR0zU4cx1jzbv8Zw3KhyKyWT9QrIoqEqCbDaCRydUtHLt8PdgRneF64FyFJ7Z8De56PW9MbMEwXoijgyniWXUGoJ2WTGso1GwAgSQKS8fbvGe/eR2zVPv7Ser3ZuSef1nBxNNOS1yUiaifH9XDr/gYsx4MkCbg+mduTmGY7O6+j9jGvo6nEzr3IXJfMAYkOYjkuZparsGwPgiAgokoAejOJI5uMoNjokByPKiyIQXQATZW7cv+iFXbfz3ff72l/puXi1vQG3EZRoRsX8ogw/qNjdq/vD4ojujdbCos8CMDEYAoDudhpDu9QElFlR2zVWbrOEFH7yZKIZExFVQ/3Y9MJtSdjfFZLenPfNa4pPRM/Tftr66rz93//9/Ge97xnRwIHAIiiiPe85z34gz/4g3YOh1rAcjyYtrvv95JxdStRQQAG862Z3K0W9eZE03V9LBf1lrzuaRsuJHB5LIPxwSRuXshz0+ecUxUJNy7kMD6YxOXxDAbzj892P8zr5dJbi5WTvt5h+X4A3XTgecc7lFje0JuLLcvxsFY2Wjk8IjqiIAiryrUqYKPXaaqMm1N5jA8mcXUii/5sDGsls3kYlY6pKFbDA52+TJT3djqR7ffumCZjfCCFQiaKob54M4h7Pye9FxNRd9vsxBHVjr7xJkliI3CC1amIeo0ohgGC44NJXBhJY2p4byVn03LhtLmAgygKOw5vC9loxyoqFqtWM0jE9wMsrdc7Mg6i49r8DPfnYrgyng33jKfyHal02Z+NNQ8rI4qEbCrSktedX601v14vmzAfs64hIupWayWzWaXT8wIsb+w9k4xpMjaPvnfPl44iokjNvcgr41n0d0HQHNFhBAHgN0pkB9hZdK6dWrFPenEkg8nhFCaGUrg2metY10GiXnGY/YvTYFruqSdVDOS21kmqIrILxyEtF3W4jXNmx/Wx2iPxXGdVIRNtdpKTJAGFTPSRzzUst9mlE8HONX0nbcZW9edimBpJHdhJhIjoIFcmspgcSmFyOIXLY9lOD+d4grDgt+v68INgR8ci6j1tPREolUowTXPf75mmiUql0s7h0AktrtUxuxxmdA31xTE2kNzxfamxYKsZDlRZbFm21+5WxUoPtd9rVRt6Ohs0VcZgvnWX4UujGVRzNkRBaEunF8f1cXt6HablQZZFXJvI7qlAdZDdn+f9WpETUXsEQYBXZooo12wIAnBpLMNKFgC0iIzBbXOY7depQjaGVELFaCGBRIxVf+lkxgaSyKU0+EGAUtXC4lq9WUX/UffHzc4wlu1BkUVcZ4UFojPnJJ04ACAWkWHZ3mOTwYioO8mS+MgCDZtV8QQBuDCSRj796APYVpsYSiGfiQJB0NE58O7uH9xPoF7y6lwJ6+WwsuWF4TT6MlEArUmcOI50IoInL/XBtFwkokrLkrNkSYTnhYFVgoCOJX0REZ3E484wgiDA3dkSSlULfhBgMB/DcF/iRN3Gd+9FEvUCTZUxPpCE2dij7MR5uOv5uN3o1CdLIq5NHv3MEggD0vuzTKAiOorH7V+chvvzZayVDEAAJodSp/aZTcZUPHWpD4blIt7oBEAH2x2/xf/fOkuLyHjyUh9000FMk6HIj56nSqIACAAagcDdEovn+wEezFdQ1W2IogBVlpBOdG4PhYh6nyQKPV80QVVEBH4Az/chCAILzva4tv72bty4gV/91V/FxsbGjv++sbGBX/3VX8X169fbORw6gSAIMLdSbT5eXKs3q+lvJ4oCUnG1pcFk/dkY8mkNihxmuw+0cUFI1O2SMbUtCRwAsF42YFrhQazr+vtWoDrIcF8c2VQEiiyikI0+NvOfiE5XpW6jXAtbBgYBML/SHdU1uk1fRkMhG3bdyCQjuDyaYQIHtUw8qiAZUw99f1wtGrDs8F7suD6WjnEvJqLutpl8ETtuEkejg8dmRw8i6n01w2lWxQsCYK4D8/ZEVOn4HDib1DDUF4cii0glVIwNJDo6HqLD0k0nTOAAgAA79tg7KaKEQRCtTLS4OJpBVJMRUSRcGEnzMJGIetLuvcDhbZV/64aDUqNLrygIqNadEyVwEPWqdCKC0f4kMokI+tJRjO8q/NgO62Wz2anP9XwsrLFTH9FZZFhumMABNNZTp7snojbWSUxEOLyBfBy5VBjPlU9rTIzrAoosIp2IPDaBAwj/3i8MpxFRJEQ1GRdG0m0a4eOVaxaqehjD4PsBFlZ5jycikmQRiZiCeFRFIqrA61A3RGqNtpby+OAHP4jv//7vx1vf+lY8//zzKBQKWF1dxV//9V8DAP7zf/7P7RwOnYAgCBBFAZ4XNB6jbe1ERVHAxdFMW96LiB5ts33oox4fhiSJvduajOiMYWecwxEEAVPD3bFpRWfXYe+Pu++90jHuxUTU3XTTAQBEteNt30QbVSc3X4eIep8ssgPFprGB5J7OwETdTpLEHZUtJfHsfoYTUQVPXuzr9DCIiE7kcXuBrTgjITorOj03lyXukxKdB7s7Bez+7FPnSaKAS2OZTg+DjqkvE210C+0eu4tN7O7OS0R0HsUiCsYHU83H7IDc29r623vmmWfwqU99Ct/6rd+Kr371q/jd3/1dfPWrX8Vb3vIW/I//8T/wzDPPtHM4dEKXRjNQFRGKLOLCSJqbIUTnTCETRT6tQZIEpBIqRgqseknUy+JRBaP9CciSiKgmY2IodfAPEVFH9WdjyKXCe3E6oe6oBklEZ8NmJ47ocTtxRNiJg+is0SIyxgeT4bw9ImNqmPN2ol4SUSRMDKYgSyIiqoSpLqlsSURERxfTFIwNcF5G1A1yqbBrjiQJSMZUjPYz2ZvoLFIVCZNDW+upCyy6RnTmpeIqhvrikCQB8aiC8UHe44mIpoZTiEZkyJKIsYHksc+RqTu0/bd38eJFfOxjH2v329IpSCcieOZKf6eHQUQdIgjsikN01gwXEhhmQhZRzxBZ0YjozNtM4ogdc/MtHm104rCYxEF0lgzm4xjMM3mTqFcN5GIYyMU6PQwiImqBob44hlhUg6jjNrvmsIs20dnXn42hP8v1FNF50umOX0RE3SamKXjyEjsgnxXso0JERERERERE1IU2O2hENeVYP79ZecUwnZaNiYiIiIiIiIiIiIiIiIiIiE7m1DtxfPzjH8e73vUuDAwM4OMf//hjnysIAt7//vef9pCIiIiIiIiIiLreZieO47bBjWnhz9VNduIgIiIiIiIiIiIiIiIiIiLqFm1J4viWb/kWJnEQERERERERER3BZhJH7NhJHGEHD52dOIiIiIiIiIiIiIiIiIiIiLrGqSdx3LlzZ9+viYiIiIiIiIjo0fRGB42odswkjkbyh85OHERERERERERERERERERERF1DbNcbWZaFF198Ea+++mq73pKIiIiIiIiIqGdtduKIHrsTh7zjdYiIiIiIiIiIiIiIiIiIiKjz2pbEEYlE8P/+v/8v1tfX2/WWREREREREREQ9azP5InbMJI6opgAAdNNp2ZiIiIiIiIiIiIiIiIiIiIjoZNqWxAEAY2NjWFtba+dbEhERERERERH1HN8PtjpxaCfrxKGb7MRBRERERERERERERERERETULdqaxPHe974Xn/zkJ1Gr1VryetPT0/i+7/s+vO1tb8P3fu/34t69e3ue83d/93f4ru/6LnzXd30X3v72t+PDH/4wbNtuyfsTEREREREREZ0G095KvIgesxPHZgcPJnEQERERERERERERERERERF1j+NFARzTvXv3UCwW8cILL+D5559HoVCAIAg7nvNTP/VTh369D3/4w3j3u9+Nd77znfj0pz+ND33oQ3jxxRd3POfatWv41Kc+BUVR4Ps+PvCBD+C3f/u38d73vrcl/yYiIiIiIiIiolbb7MIhCkBEkY71GjFNabyW07JxERERERERERERERERERER0cm0NYnjt37rt5pf/8mf/Mme7wuCcOgkjvX1ddy6dQu//uu/DgB429veho985COYm5vD6Oho83nRaLT5teM4ME0Tonj8BiRBEEDX9WP/PBERERERERHRQepGmHgR05Q9BTAOK6axEwcREREREREREREREREREVG3aWsSx507d1r2WouLi+jv74csh/8EQRAwNDSExcXFHUkcADA3N4f3v//9mJmZwZvf/Ga8+93vPvb7Oo6D27dvn2jsRERERERERESPs5l4EYsqx36NzU4cpu3B9XzI0vGLWhAREREREREREREREREREVFrtDWJo9V2V6IMgmDf542OjuIP/uAPUK/X8W/+zb/Bn/7pn+Ltb3/7sd5TURRcunTpWD9LRL2PSVxERERERNQOdTPsxBHXjr91E9+WAFI3HKQTkROPi4iIiIiIiIiIiIiIiIiIiE6mI0kcn//85/H5z38epVIJ2WwWzz//PN7whjcc6TWGhoawtLQE13UhyzKCIMDS0hKGhoYe+TPxeBxvf/vb8Ud/9EfHTuIQBAGxWOxYP0tEREREREREdBi6EXbiiJ+gE4ckCohpMnTTRY1JHERERERERERERERERERERF2hrUkctm3jAx/4AP7iL/4CQRBAlmW4rotPfvKTePOb34xf/uVfhqIcLjghn8/jxo0b+MM//EO8853vxGc+8xmMjIxgdHR0x/NmZmYwNDQERVFg2zb+5E/+BFevXj2Nfx4RERERERERUUtsdeI4fhIHECaB6KaLuuG0YlhERERERERERERERERERER0QmI73+xXfuVX8NnPfhY/9mM/hs997nP4+te/js997nP48R//cXz2s5/Fr/zKrxzp9X7mZ34GL774It72trfhk5/8JD760Y8CAD70oQ/hz//8zwEAL730Et7xjnfgH/7Df4h3vOMd6Ovrww/90A+1/N9GRERERERERNQqeiOJI6adrP5GotHJo6YziYOIiIiIiIiIiIiIiIiIiKgbtLUTxx//8R/jX/yLf4H3ve99zf+Wy+XwT//pP4Wu6/j93/99/MiP/MihX+/ChQt48cUX9/z3zWQOAHjXu96Fd73rXScaNxERERERERFRO9VNF8DJO3EkoioAoGbYJx4TERERERERERERERERERERnVxbO3EsLS3h2Wef3fd7zz77LJaXl9s5HCIiIiIiIiKirqQbjU4c0RMmccQanTgMduIgIiIiIiIiIiIiIiIiIiLqBm1N4sjlcnj55Zf3/d7LL7+MXC7XzuEQEREREREREXWluhkmXcS1kzVR3ezkUWcSBxERERERERERERERERERUVdoaxLHCy+8gP/4H/8j/uRP/mTHf/+zP/szfPzjH8db3/rWdg6HiIiIiIiIiKgr6aYLAIhpLerEoTOJg4iIiIiIiIiIiIiIiIiIqBucrJzjEf3oj/4ovvSlL+Ff/at/hWg0ikKhgLW1Nei6jitXruBHf/RH2zkcIiIiIiIiIqKutNWJ44RJHNFGEgc7cRAREREREREREREREREREXWFtiZxpNNpfOpTn8Lv/d7v4aWXXkKpVMKNGzfwhje8Ad/93d8NVVXbORzqUUEQYHqxgkrNRiKmYGo4DVEUOj0sImqBlaKOxbU6FFnEheE0tEhbb1NERI+kmw4eLFTg+T5GCgnk09FOD4nOMM8P8GChjLruIJ2MYGIwCUHgfJfovNGNRieO6MnmxFtJHPaJx0REdBq4F0BEx+W4Hu7Pl2HaHvoyUYwUEp0eEhFRU1W3Mb1YAQJgfDCJdCLS6SERdSXTcnF/oQzH9THUF0d/NtbpIRHRGRcEAR4uVVGuWog3Yo4kxhzRObB9DV3IRDHMNTQRnUPlmoWZpSogAJNDKSRjjFmnzmr7iZiqqvi+7/s+fN/3fV+735r2UdNtrBQNKLKI4b44JEns9JAOtLyhY7VoAACssoeoJmO4jxNLol5nWm7zQMOyPTxYqOD6VK4jYwmCAIvrdRimi1xaQzapdWQc1FvWywZKVQvxqILBfLzTw6EWe3WuDMMKg2nvz5eRiqtQZKnDo6JeYNouFtfqEAQBw31xqMrBfzeLazVslE0AwMqGjpgm8/CS6BxqVSeOeGPzsaazEwcRHc9ayUC5ZiERUzGQa+2cxLBcTC9UAHR+L4Com+mmg+UNHaIgYLiQgCJ3/z5+O8wsVVGuhYmq8ys1JKIKg6SJzijH9TC/WkcQBBjKx3si6fPuTAmu54dfz5bw2qv9LEpHtI/7C+XmnsX0YgWpmNo1n3HTcrG4Xm/MweI8E6Cut7ReR91wkElGWIzsMVZLBlY2dABhzJGmShjtT3Z4VESn7+G2NfTcSg2JmIpU/HjBy54fYGG1Btvx0J+LMQia6BAYU9R5vh/g7mwJvh8ACNftr73W3+FR0XnXHatf6gjb8XDnYbF5UbIcD5dGM50d1CE4brjhGQQBBEFoPiai3uZ4PhBsf+x1bCwLa3XMr9QAAOsVEzem8s0KxkT7KVUtvDpXBgCsl00IgtDy4CbaaXMe0C7b5xtBALheAIUzaTpAEAS4M70B2wn/fmq6jScu9j3yuZt/07vnt5sH/kR0vuiNJI6Y1ppOHJtJIUTU3do9zz1IsWLi/vz2tQ5amly6e57Tyb0Aom7leT7uPCzCbawTdNNtW7JTt12TdnM8rp2IzouXHxahm2GBlXLNwlOXCl2dEBEEARzPg4BwjL4fwA8CiOjeMRMd5LTmBTv2QoPuuZ/7foDb0xvN8dUMBzcv5Ds8KqJHW1qvh1WlEa7fZUlkgvMjuHvOYIJHPDPU7esiosNy98TbHX8f7uFiBWulsABzsWrhyUt9iByikB3RecWYou4QBEEzVhoAXN+H7wddvb9AZ9+ph569973vPfRzBUHAb/zGb5ziaGg70/Z2XJT0HgnoyKUi+NLLK6jWbSSiCqvzEZ0RiaiCVFxFpW4DAjCUT2C9bOBBoyLnxGAKhWx7KobUjW3XwyC8PjKJgx5n9z20V+6pvcj3A9ybK6FUtRDVZFwdzx6qs8FJDRfizc3vTDKCaJdUAqPu5np+M4EDAHTL3bPZbzseXp4pwjBdZJIRXBrNYCAXw0bFhOcFUGQRfayYRXTuBEGAeiNAKX7CeejmPJadOIi6m+N6zeDEdELF5bFsVxwc7E4AqxsOkG3d68e1vXsBRLST7fo7gozakZi5fe0d02Rcnch2ZeXpoXwc1bqNIACimowMg9SIziy90SEXAGzHh+f7EMXuuy4B4XzplZki1ksm/CBAfzaGQjYKWWIXJepdyxs6ZpYqEAQBF0fSyKZa18F+qC+O6cUKEACphHrifZBWcTx/R4IJz32o2+0430a4bmASx/7ymSiWN3Q4rg9JEtD/mBiEhbUa5ldqkEQRF0fT/P+UelomEcFX763CdnwUclFkEsevPr/9muP7AUzLZRIH0WMwpqg7SJIIRRZx68EGBABPXMp3xTkMnW+nHn0WBI/PWD7uc+nkYpoMVRGbgWW9csBRrtvoz0aRTqhQZQmlqsW2bERngCAIuDqRRd1wIEsiIqqEL95ZaSabTS+WkU9rbZk8ZZIRlKoWAEAUBaR4jaEDpBIRCKs1bE5leuWe2ovWGi0mAcAwXcyv1jA1nD719x3Mx5FOROB5ftccIlH3U2QJ8ajS3MjMJCJ7qjXNr9ZgNAK1S1UL62UThWwUT13qg2l7iEZkHvITnUPWtqILMe1k953N+1bN4IYwUTdbWK1vqy5tY7VkdEUlrkwigsW1+tZaJ9natY4o7twL0JgsTbRHRJEQjcgwGgHMrf4c7mettLX21k0XC6t1TAylTv19jyqdiOCpywXYjoeYpkDioSvRmZVJbO3Zx6NKV++VPFyqwHF99GWisGwXE0OprpjXER2X6/l4uBQmWQRBgPsLZbyuhUkc/dkYUjEVbmPvvVuq3auyiJgmN9dp7ZiDEZ1ENqVhvWwCAAQBSMf5N/soEUXCk5f6YFguNFWGIu8/rzBtF3PLNQDhtXB6sYKnLxfaOVSilqroNkYKSTieh4gqo6o7x76/ZZKR5j6FIos8Pyc6AGOKuoPvB3A9H2MDCQgIi0Sw4xZ12qmfiv3mb/7mab8FHZMsibgxlcdGxYQii8j3SIXfIAAkUUQs0r0btER0PIIgINFImAiCYEdyX9D4Xzv0Z2NQZQmGFVZFZxAJHSQRVXBjKo9K3Ua80VWGTkcnc37ZfYOO49pEFqslA6IgoC+zd769vTMeAASNu50iS11Z6ZaI2mOzwrYoCtDUk10LErHw8EQ3HbYEJupiu6e53VLsJhFTcX0qj+oprnW27wUQ0V6iKOD6VA5rJQOiKKCwz7qi1fxd16Ddj7tJRJFY7ZPoHLg0msFayYAfBChkol0dYLH9khlRZcQ07ilSbwt2HdCdxrSgG8/hBEHA9clcuLcrCuyWTF0vl9JwdSLb7PB50sIwZ50siQcXi911veuWvRqi4wqCAIosNhOXTvI3PTaQREyT4bg+cimtq5OsiboBY4q6w+bSRlPD9Qfv7dQNum81TG2lKhIG8/FOD+NI+rMxbFRMGKYLLSKxeg3RGSUIAsYHU2F1HwDjA8m2VtPLJCOsqkNHEo8qrDDRBn1pDWslA3XDgaqIGOqxeQydP5IkPna+PVJIoKrbsB0fiZjSM4nVRHS6Nqs8xiLyiYOTEo35SRCEiRwMlCbqToP5GMpVC5bjIR5V2hKkfViJqNK8lhBRZ8gHrCtarZCJYr1som44iCgShvq49iaizhJFAf09ch442p/A3dkSfD9APq0dHCBK1OUUWcRIfwLzKzUIAjAx2H3duU7LQXu7RN0mnYggzcreLaNFZAzkY1he18/d9Y/OptH+JOpGEa7ntyQehmeaREfDmKLOk0QB4wNJzCxVAQEYH0x1dZEIOh86ksSxvr6O+fl5WJa153uvf/3rOzAi6iWKLOKJC3m4ng9ZEnkhJTrDBnIx9KU1BAAz94kIQHhocvNCHo7rcR5AZ4IWkfH05QJcz2fnDSJq2uzEEWvBZq4iS1AVCbbjoWYwiYOoW2mqjKcu93G/i4i6AtfeRETHl05E8Nqr/fD8oFnlmKjXjRQSGMjFICCcJxARnRcTgymMFBIQBKGtBSeJTkM8quCZKwXOU4noXBvMx9GXiXJtQ12jrUkcKysr+Imf+Am89NJLe74XBAEEQcDt27fbOSTqUYIgtCzIzXY8zK3U4Ho+hgsJVhYkOiLP8zG3UoPleChkosimtJa+PidMRLSfdge7O66H2eXGfKEvzgBYaqmTzG2X1uuo1G0kogqG+uIMriI6I3Qj7MQR11qzbZOIKthoJHEQUXcKggALa3XUDQeZRKRnKk0TUWtYjoe55Sr8IMBIIYGY1h171Ew0JyI6HlEUIHZBoCf3jaiVzlOxNcNyMb9SAwRgtJCAFulIbVSiM2m9bGC9bEJTJYz2J7vifnmQ83T9o7OvW+apreL5AeZWqrBsD32ZKHItjlciorOp1+/trudjdrkKx/UxkIuxE1uPa+tq8yMf+Qhu376NH//xH8fVq1ehqgx+o867N1dCTQ8DWaq6jacvF3r+Qk3UTjPLVawWDQBAqWbhiQv5rjloJiJqlbuznC9Q91kvG2GrTwClqgVRFDCYj3d4VETUCs1OHC2aVydiCjYqJuo6kziIutXSuh4GCSG8ryuy2PIiCUTUvV6ZKcIwwyTOat3B01cKrPJKREQnwn0jouN7+eEGbMcHANT1cG5GRCdX0228OlduPg4QdrogIjqumaUK45WI6Ny5P19GqWoBACp1G09d6oOqsBhPr2prEscXvvAF/MRP/AS+53u+p51vS/RYhuU2v/a8ALbjMSiT6Ah0c+szhACwbI+LIiI6c0zLa37N+QJ1C9P2djzePq8lot6mN5I44i2aV2++DjtxEHWv3fdxw3KR7dBYiKj9zG3XANfz4Xo+JJEHb0REdHz7zS+J6GCe5zcTOICwY5rnB0ywJWoBw9p5pmHy3kREJ7T9DB9BOOdlvBIRnXXb1/e+H8ByPCZx9LC2JnEIgoChoaF2viUdUrlmYWapAgCYHE4jGTs/XVLy6ShWNnQAQEyToalsh0p0FPm0hnojGEyRRSRafP0IggAAWtrmu1S1MLtShSgImBxKIR7lIo7OF98PUKyaWFitQ5IETA2nEWU78MfKpTXOF6grmJaLBwsV2K6HXCoCURTg+wEggC2Cic6QuhFuvsWirbnfJGJM4iDqdrmUhrWyAdv2sFoyIAiAoojoS0dbuh4mou6USUZQrITV0xIxBarc2qIBnh/gwUIZuukgk4hgnNVuiYj2CIIAD5eqKNVMpOMRTAymIPZw0HY2qWFpXee+EdERSZKIdEJFuWYDCOdpx0ng8PwA0wtlVA0b2aTGbgPUteZWqtiomNBUGVPDaSgtXotsl06okCURrhcmSuVS0VN7LyLqHYblYrpx9jnan0A+ffhrQz6toaqH92xFFpGKn594RyI6vxJRBa/OleC4PoYKcSav9bi2Rp99+7d/O/73//7feOMb39jOt6UD+H6Av729jKX1OgBgrWTiLc+OdXhU7TM5lEI6rsL1gmYgHBEd3mA+jmhEhuV4yCYjLd3YWSsZeLAQtlSdGEqhPxs78Wt6no97c6Xw4ALAvdkS2yDTuWE5Hl5+uIFq3cFKUcdwXxyCIOD+fBk3L+Q7PbyuxvkCdYuvvbqGu7PhfSyb1vDNTw7Ddj3ENYVJiURnSKs7cSQa14da4zCDiLpPJhnBzak8vvzKCgqZKNbLJl6eKeLiaAbXJrLIJhl0R3QWmZaLlx8WYdouZFnE+EASuVNI3lpYrWGjbAIAliwd8ahypKAIIqLz4N5cCX9zaxm+HyCX0hBRJQz3JTo9rGOLRxXcvJBHVbe5b0R0RJfHsihWw7nTcROgHi6W8aU7K7AcDzFNRlSV0Z87+TknUatUdRtffmUFDxeryCQj6M/GMLtcxYWR9Km9p6pIuHkxj3LNQjQin6viskT0aF+7t9aM4ZlfreHbXj9+6Iry/bkYIqoEy/GQSUSgyKxET0RnX6lqoVSz4Lg+opoCx/EgsXBvzzr139w3vvGN5tff8R3fgZ/+6Z9GEAR4y1vegkwms+f5N2/ePO0h0S6O52Nxrd58vLBWg+f5kKTTy7DvNllWnyE6kXQi0vLXDIKwQmCjEQemFyvIp6Mnblfs+UEzgQMIr4FE58XCag2m5cH3fdQNB5W6jXQiAtvxDv5h4nyBusLcSq15HyuWTdiOi/5cvMOjIqJWqzeSOGJaa7ZtUvFwvl5lEgdRV4tHw+A63XCxVjIAAI7jYXqhguxVzkWJzqLZlSosx4MgCPC8AKIonHjvaz+Ou3P/y3a4H0ZEtNvDxWpzz2WjYp6JJPhoRGYHZqJjEEXhxAmvi+t1WI2zF910sbRRZxIHdZWHixVYdvg3WqpaSMVUOO7pnxdGFKklhRuJ6OyYXd42Dy+bqBk2csrh78OnEa9ERNTNZleqUGUJqiyhUrNQqVvQuPbvWaf+m/ue7/meHVWjgiDAb/3Wb+G//bf/tuN5QRBAEATcvn37tIdEu8iSiERUxvxqHYIAjA4kjlRdum44uDtbhOP6GMzHMTaQPMXRElG38P0A9+ZKKNUsxDUFV8YzLc1q9/0A62UTrucjnYggorbmtVVFQi6tNasPDua5SUTnx2ZSlKpIiGkyNtOZhvpOFgDu+QHuzhZRqdtIRBVcGc9CPkYyaN1wsFYyoCoSBnIxdrugM+/BQhmrJQOaKuHKWPZQC+t8WkPd2AruZhXFvco1C8WqhViE1e2od9Uan/NEtDXV6DZbiFfqvR+ERHTWDebjeHUu7EgZ02REFAnBAT+z3cOlClY2dKiyhMvjGbbRpnNJNx2sFg0osojBfJxrS4SVKTcqJnw/gKqIyKc7lxhWMxzcnSnC9XwM9cUx2t/a84RK3UaxYkKLyBjgeoCIjiCdULFa1OH5waEDuGeXq1har0OWRFwezza7IB6H5wdYWq/D9XwMZGMMwKAzTzcd3J0pwXY99OdimBhMteR1i1UT5Vp4VtGX6VznsWxSw7RQRRAEkCQBGQaYUoc110mKiMFGYah4VIGiiHAcHxCAgTYVjKrUbdybK8HzfIz0J3q68xVRLzEtF6/MFmHaHgqZKKaG03u+v1zUIUsiBnOxthV/zqU1zK/UAIT7oZrKeTARnZ7FtTq+/MoKBEHAa6/192RyaT6toaZvxYxEIzwH6mWnftf7uZ/7udN+CzohSRSQTWnYqFoAgGzyaO3aHy5VmpW7FtfqyKa0E21SElFvWCsZKDWuG3XDwcJqHRNDrdlgBYAHixWIooBS2UJVt/H3nhlpWSXCS6MZ1HI2RFFgQAudK8OFOKp1G5bj4dpkDiOFBBRZPPHnYGVDR6UWBoXWdAeLa/UjJ3Vajofb0xvNKhu247X0mkLUbYpVE6vFsMK2aXmYWa7iynj2wJ97+nIBsiTCdj1MDqYQb1GA91lRNxy8PFPEZrSr5wcnTlQj6oTNjbdkrDVzVSZxEPWOwXwcqbiKvoyGUtWCKAqYPOS8uKrbWF7XAYTz65mlKq5N5k5zuERdx3F93J7egOeFE0LT9nBhJH3AT3XOSCGBmu7AcX2kEyqyydNJrkhEFTx1qQ+m7SGmyccqvNAq0wvlZmeQhdU6cimtZftzuung5YcbzSIWnudjuMCAMCI6nMtjWfh+AMNyMTaQPDCJQzfDfVAgvP88XKzg5oX8sd//1blS88xlo2ziqUt9bQucI+qEmaVqs1PF8rqOXEpDMnayvc5yzcLdmRIAYAVhYatCtjOJHBdHMzBMF1XdRj4TxQjnJNRBjuvtWCdZtofxwRTuzhYxPphCMqrg8ngWEaV1BRsf58FCGW5jTTC3XEMupTFom6gNZparMK3w3rtaNJBNasgkwyRDzwv3UzbX63XDOdS5ZSu85ko/VFmE4/mYGkozhoeITo3vB/jsV+ab3cj+6u/m8c63XDpSrHQ3eOpSAZIYxoyMD6SQjDNmpJed+iz4He94R/Nrx3HgOA5isb3ZS7quQ1F4E24lzw+wvFGH5wUYyMWgPmLB5Xo+ohEF16fCjUVJEOA3qswcxmaw5aYgOEp9QCJqh5rhoFgxEVFb157U3/VZ3/34pOq6g0wi0pxotLpCTeKEG8FEvUhTZTx1uQ+eH7Q0YGP3vf841wPDdHfMKap6bwaZOq6P5Y06REFAfy7W0cAY6m67PyaPm0OblovVUlhJuD8bw/NPDDUquPHva7ea4WB7ufKqbmMITOKg3lNr3AcTTOIgOpdimoKrEzl4vRskJwABAABJREFUng9BEI69R+f57d2jc1wPyxs6REHAQBur9RFtZ1huMzAJ6P61ZUxT8MyVwrHW6Yfd/9+kKtKBz2mH3UufVl6qaoaz4/W7/fdPdNaslw3UDQfZFgRid0ImGcHrbwwees9l9/XrpGckm8n8QLjHaDkeYpxP0Rm255yxBZOCzc6mW4/ttiRxVPWwE1g8qjQTwCKKhNddH4Dr+TwnoI7TzZ3rpJruYGo4jdde7Yfvt/+sYfd5yEnDDFaKOizbQy6lsXs50WPsvvdu/yxajtdM4AB2zk1PWyYZwRueHObZ5zFtzkNiWme7kBH1AsfzmwkcAGDYbmMu1FtJHMmYismhFGzHw2CesRC9rq13vp/+6Z/GT/3UTz3ye//23/7bdg7nzLs3W8Tccg2La/Udla13kyURMU2GJAiQBAGJmHKkFvNjA8nm83Pp3tyYJTrLDMvF7QfrWFyrY3qhgoXVWktet5CJIqaFuYCqImKoxZOCVCK8lkiCAE2R2DqcqEUEQWj5gUEhG0O08RmNqNKxrgfxqLxjYZTqwUzxIAhw5+EGFlbrmFup4ZWZYqeHRF0sk4hs3eskASP9+3evcVwft6Y3sLhWx8xSFQ+Xwk5V3MTcXzKmYHuhjF68lhABQLVxQJJoUbedrSQOqyWvR0TtIUnikfboUnEV2VRYAEEUhSN3xzuJIAhwe3prLnx3ttS29ybaLqbJkOWtuXIvzAePu05/da60tf//YKPtiVvHNTqQaF7b+jLRlnb1TsbUHdfNdIuLwhDRoy1v6Hh1royldR23pzdQN9oX9NVKR9lzSUQV5NNa8+fGHrG3c1ib+0RAGPwdYUVyOuNG+7diDLKpSEvmbam4CrR5b7BuOLg9vYGl9fA6uLyh7/g+EzioG8Q0Zcff4uZnQxA6c9YwPphq7uP357bOGI9jbqWK6YVKMy7KtNwWjZLo7BntTzbP49MJdceaOaLKO7rxbJ+btgPPPo9HNx3cacxD7s+XsbRe7/SQiLpaRJEwOtDokCcAk4Opnrz2PFyqYG6lhpWigVvTG3A9/+Afoq7V1t2fl156CT/2Yz+27/deeOEF/If/8B/aOZwzr7otK9ayPdiO98gg6GuTOaxs6IAADByxSn86EcFrrvbD8/xTqeS1VtLxf7+6CNvxcGMqf6JWxETnUU3fWYGuotsYbsHrSpKImxfycNywgsxRAksOY3IohZimwHE9FLIHV7OfXizjS7dXAFHAN10fwGgbg1WIzhPf9/HXX1/C3GoN6biKv/fMKGKajCcunux6oMgSbkzlsV42oCoSCj1YJcL1Ahjm1uZweP0Neq71IrWHKAq4NpGD7XiQJBHSIz43huU224oDW1X0b0+v4+uvrkOVJbzxqSEUWtRpq9fFtLDDYFhxRm5WviPqNZsBT+zEQXR+2LaLv/zyPDaqFobzcbzxqSGI4tEODwRBwOWx7IHzi9PguD5Ma6uCVYXV76lDZEnEjakc1koGFFlCfxsqLx/H395ewv2FChJRBW96ZgSpYxRG2t5lwnLC/f+TBD+1Szap4TVXVPhBAEVu7XlCNCLj+mQOG1wPELVddftaIwivUeehEvbF0QzGBjxILQg6uzCcRiKqwPMDFDLRls3ldNPGX/7dAiq6jfGBJJ5/Yqglr0t0Uqm42vIYg2RMxbWJHMo1C4mYgmxSO9Hr3Zsr4iuvrEKSRDx3cxBDfYk9z6nq9s7OwHUbAznu1VJ3UeTGOqlsQJWlHR1qXvr6Ih4uV5GMqvh7zwwj0YairbmUhvTV/pasCar1rbgo3w9QNx0Wh6Rz5f58GX/38jIEMbxXjRT23qs2JaIKnrmy/71XEgVcn8phtWRAEgX089yxJ1R3x4PVbVblJzrAm54ewfxqDaIgYLivNz8vc8tVfOXuKmzXx+hAEpfHMiy838Pamka0traGQqGw7/f6+vqwtrbWzuGcecltwR6RA1qly5KI4UICw32JY20ySqJw7M0V2/FQrllwXG/f7//115dQrduwbA9/9/IKSlXzWO9DdF4ldlekbuFN2/UCGJYL5xQyOgVBwEAuhtH+5I6M/33H4fr4/NcWoVsudMPBZ7+60PLxEFHo/nwZ9+fLsG0Pq0UDX35lBUD4mVUV6UQJXdGIjNH+JPqzsX0TH+qGg3LN2tNmuVvIkrAjYCa8/jKBgx5PVaTmoXzNcPYEWEcj8p4KWRXdxhfvrMCyPVR1G5/76mJbx9ztElEFYwNJBmxRzwqCADUjvBa0rhNHWFGrZjjwWI2FqCt9+d4altZ12LaH6cUK7jzcQKVuH6uK9fb5RbsosggtsrV2T7bo+kV0HJoari0HcvuvLTttca2GO9NFmKaLhdUaPvfl4+1jbT+YUxXxVAosnRZJEluewLEpzvUAUUckt1e7F9CWANBuoSpSSyp3iqKAwXy8GXj3uLPTo/jSnVWslQzYtod7syU8WCif+DWJWuU4MQa+H6Bcs6Cb+6+VUnEVYwPJEydwmLaLl76+BMPyUNMdfPYr+8/ZErGd3T9aVZCDqNW0zTO4beukh4sVvPywiErNwvJGHX9ze7lt42nVmmD7Z04UBcQ1fgbp/LBtF5//2gIMy4NuOPi/h4iTedy9V5FFJKLKni6X1L0S0V3xYD3QkZao02RJxMRgCmMDyZ7swgGEcVuVug3ddPFwocxOZD2urenHqVQKMzMzeO655/Z8b2ZmBvF4b2Y2datLoxksbejw/QADuVhXTrA224v6ftCskrY7K952dwaYOC4DToiOYrMC3XrFRFSV0d+i6i+W4+HW/XU4rg9RFHB1ItuxrE7X9+F5W0HdrufD9/0jVy0looNZjr/r8ckPEg9jYa2GueUagLB969XxbNcF4wiCgGuTWSyt6xAEsMoFHcnschWLa2GL21xKw6WxDIBww/T6VA6rRR2KLGEgF0Oxau6o7ma34ECfiLqHaXtwG3PbZIsO/jdfJwjCRI7tbdKJqDvY9s77+YP5Cmp6uPE+0p94bBW9biAIYZex5Q09DEBk5VmiRzJtD57nY7VkwPMDuG6Aqm4feV/t4mgGy+t1eH6A/lys7clbRETbDeRiEAUBuuUgm9SQOAddOE6LboZnp54Xnp1en8qdqNPS7n0j2+Y5K/Uu3w9w5+EGanqYwDExlDq1rheu6++obO0+oihGIqrg6ngWpZqFWETZ0eGAqNuZloPVkgHX8yEIQCbZe8G/o/0JqIoE03aRT0fZhYPOFdfHjnuVc4Jz+yAI8MpMEeVaWGBqdCAsBE3dLR5VcHUih2LVRDQis4MK0TkhiGFMdRAEiKjSqRTfpvZpa3Trc889h0984hMolUo7/nupVMInP/lJPP/88+0czpknSSJGCgmMDSS7tgrXasmA74czStfzsV7Z22XjiQv5ZvWK4UIcBU44iI4sEVMxMZhqWQIHAGyUzWZSle8HWC0aLXvto9JUGZcbwa4AcGMqzwQOolNycTTdDCyRZTG8T7fB0rre/LpSs2F0aSa5IksYG0hitD+5o3sC0UGW1uvNrzcqJuxtG63RiIzxwRSG+uIQRQH5dBQj/Y2NUwF44mJ7PodE1B6bgQiyJCCitmYtL0liM4hqd8cfIuoO16dyUBsVKBVFQiq+Ffi4fZ7QzVQlnAuPFI7X6ZfovBjrTyKiSvD8AKIoYGwwiZUN/eAf3EUSBQw39v8P6mJLRNQOhWwUE4MpVn89odWS0Sxa5Xo+1konO3u5MZWHJIUHrcm4iqnh5InHSNQpddNp7psAwPLG6a2VEjEVk8Op5uMbU4/eg00nIpgYTDGBg3pOKqE19x8FQUBfpvdicQRBwEAuhonBFJNI6dyJaTIujqSbj2+e4NzesNxmAgew82yeulsq3ogHYzwl0blRyEQR1WTENAXpeAQJjUmsvaytv71/+S//Jb73e78Xb3vb2/Ad3/EdGBgYwNLSEj796U/DdV388A//cDuHQ21UrlmYXa5CFAVMDqUQa7QwVOWdB7qKvPeA98p4FsN9cZi229FFI6v6U7eyHQ/TixVYjoeBbKxliRpBEDy2yr2qHPz5bafnnhjClfFso0rIyVokE9GjaaqMt3/zFEo1E4mYCk1tz3QyokhwG4ljggC0osBoEARwPR8PFsJraCETZfcM6hhVlpqdbURRgCQKMCwX0wsVeL6PkUIC2dTW/e1bXzuKjYoZBnl2qBMW0XnQiXVgzQgPShJRtaVdp1JxFTXDYRIHUZfKJDU8eTmPtaKOgXwClbrdLHyymdxB1I24Z3p0kiTghWfH8X++NAvH8eB6PosAbMO/KaKzYX61ho2yiagmY2ooxQTPI9g99ztpob7BfBzf9S2XoJs2MgkN8raznIPOgWh/vFe1R1W3MbNUBQBMDCaRiKlQJBEQAN8LfwfKKV9b3vT0CG5O5SGKArua0pkU02S87mo/6qaDiCLv6ALa6nvEftfOuZUqihWL8wWiE3jDU8O4Mp6BLEsnulcpsghBCAu4CoKwJ56PeoPnB3i4WEHdcJBJRjA2wARuorNoajiDmKbAtBxkklGobYrbaiXP8zG9WIFuusimIhjtP7/Xq7b+9i5cuID//t//O37u534Ov/M7vwPP8yBJEl7/+tfjgx/8IC5cuNDO4VCbeJ6Pu7Ol5sHz3dkSnr5cABBuHFqOh5rhIB1XUcjsX50iEVOR6GBw2t/eXsKdh0VYthtmsCUieM2VAobYOo66wPRiBaWq1fw6EVOaiVKH5Xo+Ftfq8PwAfWkND5eqqBsOkjEVV8Yz+26Y5NNR6KaLUs1CXFMwXNj7ebg3W8Tf3F4GALzu2gCujGeP8S88vO3BrUR0emRZbHti5cWRNKYXKzAdFw8XKnj5YRHJuIq3Pjt24BzBtFwsbeiQRAFDfXHIkojZ5SoW1+tYKepIRBXEIgpmlqpIRJWOzjno/Lo8nsH0YgVBELb/liQR96Y3YJhh15l7cyU8c6WAuuniC99YhO34uDqRxeWx0723Ep1XayUdf/GlORi2hwvDabzxqeG2vfdmRclErLWV41JxFQtrdVTqVktfl4haY3a5gq+/ug7L9rBaMnFtPIuFdR2yLOL6ZK7TwyPaw/d9/NWX5zG7UkNMU/CW145yX+YA5ZqFe3MlmJYLy/Fhuz4USQybUDN+FutlA3/xxTnotovJwRTe9MxIp4dERMdUrJqYX6kBCCv6KpKIiaHUAT9FmwZyMViOh6puIxVX0d+Cyv4xTUZsV2XO29MbuDdbRDQi47mbQ0iyg8qBtu8VTA6l8Kanea86LUEQ4JWZYrMrzSszJbzmagFaREa1buGrd9dQN12MDSSwsFbHczcHT21fn3NcOsvSiQgmh9NYKxuIqjKSMRVfvbeKlQ0d6UQY/NuK4mef/fI8ppcqiKky3vy6UeTTURQrJhZWw246huVClUWMD3K+QHRUtx6s4+9eXoEoCnj+iSFMDacP/qF9KLIEVRHx0jeWocoi/v5z4y0eKbXDwmqt2cnPsFzENBn5NDuFEZ01jufj05+fhuX4ePZ6P557YqjTQzqy+dUa1ssmAMBYDWOyc+d07dX2FJxr167hN37jN2CaJsrlMjKZDCIRVi04y1w/aCZwAGHXgE2iKBx7Atku62UDd6aL8IMAr86VIUkiro5n8dmvLOB73nIZYitKgROdgNOoTL/JdnzEjnhPuzdXQqXRGvGVmTAwWhIEVHUby0Udw49IWBobSD4yc9v3fbz0jSUEjY//39xawoXh9I4qT0REh6VFZFybzOH29DqqjeDWat3Gl++uPvawzPMD3J7eaF4r66aD8YEkFtfCjWHL8qCbLiYHw0DZ3ddUonaJaQpuTO1sc+w4W3+PQQC4XoC//tpic/Ptb24tYyAXR4qH7EQt9ze3VmBY4dr1/nwZE0OpHZXoTtNWJ45WJ3GEey/sxEHUneZX6rDs8LpTMxzceVjEaGO9Pb9Ww7U4EzmouzxcqmJ2OQzQ1Q0HX7yzgm/7Jh7wP86DhTJsx8PMUhXlmgUtoiCeUDCYjzc7T55nf3t7GboVJrFPL1YwMZRixUiiHrV9PwMAbNd7xDNpP6IoYPKUk142yga+dGcFQRCgXLPxhVtLeOvreR8/yBfvbO0VTC9UMDmYas7ZqbV8P2gmcABhMTo/AIplHYtrOmJRBUsbenh2L4r4m9vLeMvrxjo4YqLeNdQXx1BfHDXdxq3pDdyfK8P1fLhegCAA8mkNygk6hM4uVzG9WAEA6JaLL95Zxt9/brLZmXyTzTUR0ZGZtosvvbwCBIDnBXjpG0vHjsHTDRu3HmwgFglDSb/08iqGC5zn9JrdsQ67r7VEdDb8r889gOcDsiTiq3fX8PwTZVwY6e4Y7N12z/3sc3y96lgkraZpGBgYYALHORBRpB1ZUq3I1G+noBGBvhk4t/nYsj14HheS1HmD+VizWl9Mk49VLWmz2i8AOI634+A4CPb7iYP5PrD9RwMA/MQQ0Un5uy8kB1yjHMfbsVlR050d17VMMtK80EU1mcHw1FUG81sdb9IJFZoqNTtzAOFhpmE5+/0oEZ1QsOsGE/jHnBQfw1YnjtbekzbvcUziIOpO2VQEorBVKCSibgVIbF+zE3WLvftF7btX9qogCA/TPT9ANCJDlsKAC1EU0J9rb7fLbrT7b8pv4/yLiForm4ogooRzGUEA+rO8xnUb3XKb551AWPiGDrZ7b5p3qtMjSSIK27rQFLJRSKKAzaN5x/URBFu/A33bnikRHU/NcIBgKz7GtMPP1XFjBTbtntdvXkvzaQ2qEoasiaLA+QLRcW37iAUn+MCajrcjgdKweG/tRf3ZaLMYtSKL7MJBdEbZ9lbCgx9szdt6SX821rxeqYp4brtwAB3oxEHn08XRNPr18IPX6mqirbRa1FGuWxjuSzbbCvdlYrgwksb9+TJyqQiSjUCaiaEUFOX4FQeIWiWfjiKmKbAdD4mYCukY3WEyiQg2KmGLqsG+OCRRhO14iGoyBg5xiLy8oaNuOBguxKGp4WdHlkW85ko//u6VFQDA05f6oLILBxGd0OXxLB4uVbBRNhGNSHjiYv6xz1cVCVpEgtmokJZOqIhHFRSyUawWDaQTEdy8kEc0Ih/6GlrTbSxt1JFPRdlKnU7VcCGBdCICzw+QjCkQBAEXx9L42r11BEGAfFrj5hudO8sbOqq6hdH+ZHPeeRpec6WAv/i7ebiuj5H+RFsra1abSRyt7sTBJA6ibnZxNAPdcFHV7TDRWNiqYp1JsAgOHU+xYmK9YqA/F0eqxcmB4wNJ3M/HsLSuQ1UlPH250NLXP4smhlK4O1uCIonIpjTkUhHENQVXJ3PNYOezxvd9zCxXIUDAxAFV5Z+5UsBffmketuthuBDH2EB7uqARUespsoSbF/OoGw4iqnSqazc6noFcHJlUBKWKBVEUcGk00+khtdRaSUeptvO8txVec7WA//OlObiuj+FCHCOF3ipc2GumhtPoy0ThuT6KNQuzy1WMDSQxOZTCvbkS4pqMvkwYqHixx6rOEnWjVFyFIACFbAzLG3XENAVDfXGox1yr2LaLudU6oqqIwXwcS+t1qLKE11ztBxDOF5642Ie64UCLyGd2TUTUCutlA8WqieG+OGLa1v6Opsq4eSGPb9xfBwTgtVcGjv0e6YSGgVwMyxs6BAFnbn54XiRiKp661AfDchHTFCiM0SLa4yj7ld3qDU8P489fmoHnBxgbSODKeLbTQzqyVFzFk5f6YFou4lEFsnR+r1fcNaO2EASh6ytbvzJTxBe+sQQAiEXW8O1vnGpu7L3xqWG89lo/giCcHAPAUI91FKGzLRqREY0c/5J+YSSNREyB7wcoZGOQJQGu50OWRAjC4wOab0+v44u3w0SNWFTBd75xsnkoc/NCHpdHw41TlQc1RNQCqiziO984Bd10oakiRPHxE3lRFHB9Mo/Vor6jks/UcBpjA0mIgtDM7j6MUtXEp//6IVzXhyAAb37NaFsDe+n8ie9KgH7yYh/6czE4tof+fPxcL2bp/Hl5uoi/ub21ZvvON02dWjDQUF8C3/uWy7Bdv6UBH4dRM8Iki1YXQGASB1F3iygSXne9H67nQ5ElOK6/Zw5LdBTzqzX8ny/OIgjCQhvf/vwEMsnWJaHLsohv+6YJ6KYLVRYh81D4QLmUhmevD+DJi3mUqhYkSUR/Nnrg3lsv+z9fmsPCah0A8HCpgm95zegjnzuYj+Odb7nUkfkXEbWeLIlIMxG1aymyiG97/ThWNnRE1MMV8+oV9+aK+OuvLwEBEFFX8fZvntwR7HgSg/l4x/YKzqtkTMWfvDSNlY3wfP7CSBpvemYEr702AN/zsV41EY3IXDMRtUBMU3BjKo9SzcJrrhSQTkaOff5guz7+v59/iKoe7kM+faWANz41vGftyPkC0cGmF8v47FcWgABQVQnf/obJHYU6XnO1H9enchBxspgcSRTwra8bxdJaHbIsnan54XmjKtKxE/CIzoPt+5XTi2W8+bVjHR7R0b31dWO4NpmFpTsYHUr3bMxIRJGYyIseT+KYnp7GBz/4QRSLRSSTSfz8z/88Ll26tOM5n//85/FLv/RLqNfrEEURb33rW/EjP/IjZ/pghI7n1bly82vdcrGwVsWl0a0stc3goNH+MFCzbjhwXAepuHqk4E+ibiSKAgZ3JSYp8uFukve3f3YMB4trdUwNb1W8OcpC0fMDVOs2FFncE7RKRLTdUQ7JFFnEcGFvBc+jLmRquo1v3F+H7XgQBQFBANxfKDOJg05VTbcbnTjCOacgCBjMMZmYzqdXF0rNr3XLxcJqHRdOsdKi3KGA1JrR6MQRbW0hhHQifL1SzWrp6xJR61iOB8NykYiGa/L95rBEh/VgvowgCL92XR8PFip4zdXWdxJkAOPRSKKAmKYgpilwXB+lmoVoRD6TVepN220eiALAzFIVrus/dn7VqfkXEdF5pMgSUvEIVOVsXXdfnSsDjTmQZXuYW6njynjr1te8V7VXRbexvK7DcjwIAvBgoYw3PjXcnIMmuryIJFGviUcVxKMKqrqNuuE0unMcPRZmeb3eTOAAgPvzZTx5sa+VQyXqObrpwHZ8JOMqpCPEmN2f35rb2LaH2aUqbl7I73hOq/YUFFnC2GBvVqUn6gWO66FmOGd2L7AX7N6vnF2uHbhf2Y0EQcBoH+OUzoqevhp8+MMfxrvf/W68853vxKc//Wl86EMfwosvvrjjOel0Gr/0S7+EsbExWJaFf/JP/gn+5//8n/gH/+AfdGjU1K2SMaXZZSN8/OiM/6X1OmaWqgDChez1yRwTOejcSsQUFKuNQDAh/Cwdh+8HuDO9gXojaG18MLknsYSIqFPmV2uYX6lhvWxio2Iin9IgCAISMR4S0enZ/LsDgFRCxdXxLJPR6VxLRBVslM3m4+POO7tdTQ/nw63+921WXy9VmcRB1I2quo2XHxbh+wFkScSNCzke5NCJ7C6OkYyfzftmr7IcD9+4v97s8nh1Itf1nayPShZFqLIE2/UAANGI1HMHokREZ5XnB7j1YB2G6QIAJodS6D8j1ZaTMRWrxe3nvZwD9TJNlVGp282CF4VstMMjIjr7ZperWFwLgxvTCRVXjnEukYwpgIBm4Hlc47WYzreVoo7phQoAIKrJuDGVP3QiR3gWvRVwfNb2DojOC9N2cev+BlzPhygKuDqRRZKxJm2nyiJUVYJtc7+SukfPngSur6/j1q1b+PVf/3UAwNve9jZ85CMfwdzcHEZHt1py37hxo/l1JBLB9evXMTs7e+z3DYIAuq4ff+DUtZ6YTMK0LNRNB5ODKSQ1PPJ3PbNYhNW4mFuWhbWijAS7BtA59dwTQxCEJdQNF5fH0ujLHG+jv246zQQOAFje0JnEQURdY3k9nBMM5uMwLBcRVcJgPo6nWDmITtHm3x0AVGo2DMtFjIcddI59081BAEDdcHFxNI1C9mwEmOxWa1SpS7Q40CSbDAsVlKrmAc8kok5YKxnw/TC6wfV8bFRMDPexEwcd35MX+2A7HtYrJob74js6DlPnFSsmXNcHAAQBsFrUz1wghiyLeMuzo/jSyysQBOB11wY6PSQiImqo6XYzgQMAlov6mUniePZaP/wgQLXuYHI4iSHOqXtbEODSaAYPFssQBQFTQ6wOTnTalje2ziXKNRuW7UGLHC20LJPU8MYnh/HywyK0iITnbg61ephEPWVl2+fKMF3UdBvpxKMLC2/32iv98FwfpZqN0YEExgZYeZ2oF22UTbheuBfo+wHWSgaTODpAFEW85bXcr6Tu0rNJHIuLi+jv74csh/8EQRAwNDSExcXFHUkc262uruIzn/kMPvnJTx77fR3Hwe3bt4/98/Roq2UHVcNDRBExmFWO1D6uVbIykE0Abq2G27cXHvm8hVULuhXeWCEAsrMClVl51CG24+H+Qhm246E/G2t74oOmyviW1+x/3T0KRRZ3VOSIqNKJX5OIukOxamJupQZREDA5lNpTEbYXqIrYXFRfGEnjmSv94XWL6BRt/7sThLCN8VGVaxZmlqsQAEwMpbgZRD2tVfPObldtJDYnoq39vGZTjU4cNRueH3RkzU1Ej6YqO+/zEaW9a+LZ5So2KibimoKp4RQkiXPdXifLIp57goEy3Wr3Z373YwBwXA/358uwHA+FTAxDfb1X7KSQjeFtz092ehhEdA6tFHUsrdehyhImh1PscLbLnvOYNs89T5OqynjT0yOdHga1iCQKyGeizT2Ng84OgyDAzFIVpZqFRFTB5HCa+x9ERxRRJBhWmOgnisKxq1NfGEnjwki6+di0XTyYr8DxPAzlE+ysQ+eKqkjQNxNoBRzpjFmWRbzhqeFTGhl1A98P8HCpgkrdRiquYmIwBZHzlzNn9zx2v71Aao+zsF9pWi4eLHBedVb09I7V7pZ9QRA88rm1Wg0/8AM/gPe97324efPmsd9TURRcunTp2D/fCyzbg+f7iEbkI7dFPK5S1YIuVBDPhI9TGQ3jg92bPXzxkoeZ5Roc18dALopcY+OIzr5uTOKaXqygUgur9c4sVZGMqV0fIG1YLoIg2FFNXFNlXBxJY2ldhyKLmGQ1Heoxnuc3OjTIDO7fxvV8vDpXblYVvjdXwtOXCx0e1dFdGs1geqkCzwswUkjwd0ynznF9DObjWC7qQIBj/d35foC7s6Xm5+/uTAmvvdZ/GsMlohaq1sO5faurcafjKgQhvDZU6zYyycNV+iKi9hjKx2E7HuqGg0wygny69Zvuvh9At9ywZfi2Q6KNionFtTqAcF9QUURMDHJNTnSacikNI/0JFCsm4lEFw4W9VcIfLlVRbuz5zS5XkYgpR07KDoIAddOFLAkMYCaic8OwXEwvVoAAMC0P0wsVXJvMndp77T7r6AUxTcGF4TSWN3geQ91NkkRcGc9ibqUKURAOjB9YLRnNLgKb3QNG9plnHYZuhkU2eu3zTXRUu/cKLo1l8LBxHjban4DcoiIPD+YrqDY6ED9YLCMZU47c4YOoV00Np8JgW9fHQC7WVfeWXp3PniUrRR2rRQMAsGobiEbkthfvpdOXT0ehmy7KNQvxqIIh/o7pBB4sVLBeMeD5AUzL5byqx/Xsb25oaAhLS0twXReyLCMIAiwtLWFoaG91sVqthve973144YUX8P3f//0nel9BEBCLnY12svtZKeqYXqwDAZBJRnB5LNOWRI6aCUQiWwEkkqJ29f/PMQCZdPcmmdD54rj+Yx93m4XVGuZWagCAQjaKqeGtChz5dPRUAlWITpvteLj1YB2240OSBFyfzHGjo8Hzg2YAOdD916hH0SIyrk2czmEv0W666eD29AY8L4CqiLgxlT9WNQ4/2Pn5c30fvh+wegtRl6vULQCtT+KQJBHpeASlmoVi1WQSB1GXEUVhx/q41TzPx63pDRimC1EUcHksg3QivA7Yjrfjub06ZyfqNSOFxGODCh3nZHt+QRDg5ZliWPxFAC4Mp9GX4b4bEZ19jus3O0w0H5+ChbUa5pbDs46+THRHtfFe0JeJ8r5APSEVV3FjKn+o57q7Pu+71zqH9XCpguX1MBlkqC+OsQHGBdDZ9Ki9gtM4D3O8bZ/HAHA8HyyVSueFIku4Mp7t9DD26PX57FnBvdnzY2wgyXkltcRqScfMchUIgJgm4/pkjkkcPaxnSwjn83ncuHEDf/iHfwgA+MxnPoORkRGMjo7ueF69Xsf73vc+vOlNb8L73//+Tgy1pyys1pobm6Wq1WyTuJ1puXi4VMHcShWe/+juJ0eRTWnNtlGiKGAgx2xDosMazMfCttcA4lEFyRYHe7Xa/Gqt+fVq0TjWBqrleHi4VMHschWuxwUMdd5a2YDdCK7wvKBZ6em0uZ6P2eUqHi5VYNp779ndIKJIyKW3tmGH+niPJ9pU1W1ML1awtF7f0VVweUOH54WPbcfHWtk41uvLkrijdeZgLsYEDqIuZzseDCucH6cSrU+y2EzcKFaslr82EZ3catHA9GIFxarZ8tcu1SwYZrhm8P0Ai+v15vfyaQ0RZfu+XPcWViE6y+xd+12D+Rg26ytFNRnpI+751Qyn2b0XQRicQUR0HiSiChKxRoEdAYeqYru8oWN6sYJy7fBrpYXVrfnUWsmAdcxgcSJqnXwm2uxmLEkC+rNHX9t4ftBM4ACAxbX6jkI5h7FeDtd2G5XWr+2IjsKwXDxcrGB+tbZvbM/uvYKlbXsFrTaYjzdjGpIxFXEWwyPquN3z2XLN2ooHZBxO2xSysWbXI1kSmWhNdMoc18NMYw+2V5OmggA7ilcErQnhpg7p6fSbn/mZn8FP/uRP4hOf+ATi8Th+4Rd+AQDwoQ99CC+88ALe+ta34r/+1/+Kr33tazAMA3/6p38KAPj2b/92/OAP/mAnh961ZElsBqFCCCt1breZib9ZxUI33ZZkCyuyiCcu5FE3XWiqdKxKw0TnVT4dRVxTYLs+ElGl64MzZUlsToIEAZCOOF7fD3DnwUbzQKRuOKfWCp3osHa3Em5Va+GD3JsrNQMyihUTT10qdOU14NJoBrWcDVEU2KGEqMGwXNyZ3mguqB3Xb1beaOU1ZWo4jUI2BgFhsicRdbdKPbyvS6KAuNb6LZtsMoLpRZxKgDgRncxKUcf0QiX8ekPH1Ylss1NGK+yeTyjbHiuyhCcucl+OqJN8P8Dt6Q1YdrjfVdVt3JjK48lLfbAdH/GocuQ9tE7tVRARdZooCrg2kUPddKBI4oHVKLdXIF4p6rg5lT/UHooiibD88Lp9nLMOImq9iCLhyUt90E0X0YgERT762kYUwuvIZuKGJAnNxNrDWC8beHWuDCBc210eyyCbYr8Baj/X83H7wUazIKJhurg0ltnxnHauGfqzMSRjKlzPR1zr/pgGovNg+3w2CALcnS3Cb4QMtioekA4Wjch48lIfDMtFNCI3E1KJ6HTcmS42C9uXaxaeuNjX4REdXSEbhSQK8PwAWoRnOr2up5M4Lly4gBdffHHPf//oRz/a/PoHf/AHmbBxBBdG0niwUIHr+hguJJpV+DZZjrejDWlNd1r23pIkItXlHQSIupUWkaG1vlDvqbg8lsGDxQp8P8D4QHJPsthBbNfbUdGqqtutHiLRkRUyUdQNB+WahXhUwXCbuk1svw/bjg/b8bq2RV4ixns80Xa66eyoiLD98zxcSMCyPdQMG+lEBIUTVlxJMHmDqGdsJnGk4iqEo0QIHNJm0ECxyk4cRN1m9x5b3XBamsSRTkQwXIhjrWRAi8gYH9zZtp37ckSd5Xp+M4EDCLtoAICmytCO+dGMRmRMDqWwuFaHLIu4MJxuxVCJiHqCKApIHnI/csc8LAjnYYdJ4rg4lsGDhTJ8P8DYQJLJckRdQj7h2kYQBFwey+DhUgUCBIwPJo+0R7M5j9v+mEkc1Amm7TUTOID9z9QP2itotWiXnmESnVfb57N9aQ3z2zpztDIekA6myCIUmXuzRKfN9fxmAgcQJqz5ftBzyaVTw2kEAeC6Pob64l0bJ0aHw98e7RDTFNy8kN/3e67nwzBdBAggNPocphL7TyBsx0PNcBCLyLxIEJ0DdcOB7XhIxtUDDyoSMRVPniCLVZUlaBEJphUebLcyqKVX6aYDyz7c//90OgRBwNQpBUO4no9q3UZElfZ0sUjFVSys1uAHQC4dYXY1UQ+JN7pn+X4Ay/GQQID1sgFJFJFOqHsqYhHR+VCuhckVpxVInU2Gc2d24iDqPumEirWSET4QwiTMYtWEJB4tAMnzfFTqNlRF2hN8ONqfxGj/6QZkENHxKLIILSJhvWRCEIDBFhWH6M/F0J+LteS1Wq1csxAE4fXvNJJXiYgOKxVXsbyhw3E8xDQZ8aiCUtWCIDz+/CERVU501kFE3aGm23BcH6lEBJIoNOcoT17sO9YcJRVXsbyu73hM1AlRVYKqiLCdMJFj8562ea6fiquQJLHr9wpM24VuukhEFZ6DEu0jCAKUa/aBc9f9bJ/Pen6AtZLZLKj6qHjA7WqGA2fb9YSIqNvJkoiYJmO1cRYzkIv1XAIHECbGTgwmm+sY6m2MrqdDcVwft+6vw3I8eF6AdEJBPh1Ff3bvAZBpubjVaMsoCMDViVzLNycqdRuVuoVkTGUAN1GHrRYNPFgI2wJrEQk3pvInTiQo1yxUdXvfz7goCrg+mcdqUYcoCijscx06TzYqJu7NlYAAUBURNy/0sb3iGeJ6Pr5xfz2sxikAF0fSyKe3KvKrigTL8eD7AWQxeqSW3rbjYa1kQJJEFDLRnlyYEPUyTZVxYyqHh0sVVFct3J8v4yt3VzE+kEIhG+1Yi2LTcrFeMaHI4bWBwVRE7bXZieO01rmZZFj5sVRhJw6ibpNPRyEKAmqGg3RCxcJaHZVaeE0Y6otjbODggArP83HrwUazktTkcGrfvTuig6yVDJi2i1xK21NMgE6HIAiQJQmm7UIQhDMfnDS9WMHKRhjcmElGOrb+OYnNtZMqSyhkT9Y9kYg6K6JKsJ2wA3hUk/FwqdKsPFzIRk+teE+rrJcNGBbv23R2Oa6/40xQauFZxuJaHbPLVQBh0Z2oJmOtGAZ0HXeOkk1quDqRRaVuIxVnLAN1jiSJuD6Vx1rJgNw4C1wp6pheqAAIz/VvTuW7OvC6ptu487DYLCJ7ZTyDsYFUS68DRL3u7mwJpUbn7f5cDJNDqR3ff1zszXaSKOD6VA6rJQOSKBy4p7i8oePhYng9iWoybkzl+dkkop4gCsDSeh2CIGC4RYV02m33Oub6ZI4xXz2MSRx0KJW61cy2lSURkiRiML//RWyjajbbMgZBuHnYyiSOcs3CyzNFIACAOi6PZ5BNtrcFqev5mF2uwvV8DObjh27JTNQuvh9gbqUK0/ZQyERPtU3vammrmoxpeajW7RO9X6lq4ZWZYuNRHVcnsnsWk4osYriQOPZ7nCUrRb1xPQRsx0e5ZqEvw4Pjs6JSt8MEDgAIgJUNY0cSx1rJaN4DddOF5XjQ1IOnd2Fw13qz+k5Nt3FxNNPy8dPBvMb12rI99GdjyCR5oHOexDQFiiQhGYtgab2IIABqhg1FFmE7XlsDt2zHw/RiGa88LCGdUBFRZZiWi/HB1ME/TEQts5nEkTz1ThxM4iDqRtmUhmxKg2m5WNnQsVExIYoCAgSHSuKo6s6OVuArGzqTOOjIFlZrmFupAQCW1nU8cTF/qHUmHd1q0UCxaiIeVdCX1lDT7eaaf71k4EKXBw2fxGpxaz+xVLXavv45Kdvx8I0H6/C8cFPOtN1DXaeJqDutFg0kYyqSCM//5ldqzTOJ1ZKByaHUoYpcBEGAxbU6aoaDTDLSlnnY9sCNpXUdT1zIQ4vwvk1nRxAEuDO9laherlm4OpEDEM4hVoo6IqqE0f7ksQJHV7bNSeqGg7WygWhj7luqWnBcD4p89DlKOhFh8gZ1hYgiYWTbmfpqI0kJCM/1K7p97FibIAiwsFZH/RTve2tlE57nY26lBtvx4Hk+bMfvySRwotPguF4zgQMI19rbkziOGl+n7rpmPM72e6hhuqjp9pm795mWi7nVcI9stJDgPJvoDHA9H994sNHY0wvw9VfXcXks23MJEIvrdSwXdXiej0wigvHBJOOXexjvLl1urWRgfrUGWRIxNZzqWAWV3QcokcccqOz+3uOeexyVug0EYZC66/l4da6MiyM41SD13e7Pl5sT4XLNxlOX+vb8f+R6PtZKRlgVhFWMqc1ml6tYblSzK9Us3JzKIx5tzfVjvWzAdnzk0xpURWr87TvN70fU8LNQrJgwbQ+ZZATRIyxmyvXws+X7AcRG2+KztthrpT3XXHX/a67nB3gwX0bdcJD+/7P3X8+VrWl6J/Zbfm3v4H36k8eW767qJtnNJps9TQ6HEzETIelGEQpdSP+OQje6krmSZmJmNNQMySEpqovdrKrurq6q49MnvNvYfu/ljS6+jZXYcImEyQTyrF9E1UkkkMAGsNa3vu99n/d5CgaLU4V0XboB6JpCo2PT7XtomsxHt2sj7zc0JWleyLKEdka3HMcLkwEOEOtEGEbX2m3nsmj3XCzXp5w33mhfFccx9bZNFMXUSplLS7xZ3e4mRfNO3+XjO2NvtGam3Ey6Ay9xp1EUsRariowfiPuy03eTobyruO6O4+lam92WRXvoyHNrpkSz57IwdWVfMiUl5Rj298KXnWa5T6Uo9tXNrnMlnz8lJeVykCRY2+3R63tIskQcxzxZbWE7AdWSeaJQWNdkkEgG/U86H74v2G5Au+diGspbN3h5HwmjGFkStc59oihmYPvpEMcV0O65SbLtbtPi6WqLetumlDMoFwx0TaHTdxk4PqWccWl1vfMSRTF7bZsojhkvZy5cP9A1JTGtUBTpxtUjBrafDHCAOON9V+oqKSmXgeMFvNjo4PsRk7XsiaZxb4uDeyZZlkaee7oqn7mOvt2wkkHIds9FV5VjDVu6A4++7VHMGeTPsL5HUcxeR9SHxsqZkST0zsAljmPi4ZLUt/1UXJbyXuEFUdIDCcOIl5sdygWTQlbj6VorufbDMOb27JsNwDY6Nr2BhyRJaKqMJEHOVImGrRNFkVDk6/Ns321abDUGaKrM7ZlSeq+n0Om7rG6LQb6FqcKZ+umGpjCwh3196VWfOY5j9toOYRSduRex1RiwcYbn3r62oFoy31g7pGsyQRjjDQ1nNVWm0z9qThPHMVEUp/vxlO8csiyjKFJyPj2sWzuor5Nlie5gdHDrtH3m65CA1Z0uYRBTLhrXxpjhYP3iTb+nwzxeaSWG1wPL57P745f1MlNSbizbjQE7DQtdU7g1W7xxdeM4jgmCiHh4kNjXZ9w0Gm2bF+ttgjBirJjhhw8n3/VLSrkAN+su+o7h+iEvNjsQg0vIi40OH98ZeyevpZDVWZouUm/bmLpCtWBgu8GxIsNaKYPrhbR6LvmMdunFV1NXWN3u0rd92j2Xh7eqRJFwJJy+pIijnaZFz/Io5Yxjo9Bt55WrYRTFuIecwqIo5tuXr1xBeoPU4Tzl7XLQeZNYNEX2m72eH7IxnBafruXeqMi3ttNja28AiI3ZJ3fHkkl+zw8ZL2fJmhrbjUFSNNqo99/ItdHUFVa2urh+iKErLE0X6FseiiKnwuZjWJgsEA9/x7VS5sTJ2s16PxHr7TYtcqZ27PqWcr2I4xhVkVFVkYJFPPr+e/NlVra7RBHMTuTPVJz0/BAvCIUYbPgMazddwjCmXDC4N1++MQM+fhCyUR8Qx/GZ1rODMdGb9QEf3a6deV15udllr20nn+fj22OXMo1vHdhTxLFw9EjXuvebOI55utYiDIUgrjvwmKxluDNXZmD7tHoulYLBy80uz9bbSaPwMq+747DdAF1VkCQJz494sdkhn9XQFJkPFitX0vyIopiB46Op8o0r8KSkXBX7SRyl3NUMMe83aNIhjpSU600QxoRhjOOFSJJwypyuCZHC1t6AfEY71swka2rcmS2x0xRNlMX3OFHLcQP++qstOn0PXVP4/oPxdy4AvcmsbHfZaVjIskTWVPGDiCCMMHXlnZkKve8crN3tNC1URWaikmWvbTM1lqVaNHm8IpJqN6Q+H16iQct5eLbeTkyN9to2H92uXah2cG++zLO1NvWWzdRYjiiKUORX9fU4FuclcU1ev2swY6rIskQUCUFZq+cI45S8fiPd+1JS3jbLW136lhCQrm73KOb0d3qvz00UiKIYywmolUzyGU0MY0ii/n5WLMcffdv1R8Ssfdun23eTQQ9J6vNwqUr+NW6ZLzY7NDviDFdv23x0q5asM6os8XKzSxBG5LMaH92uHvs59uuoURQzPZZL648pNwLXD1nf6dHsOuRMjUcrTfq2R6PjsjCVx9BeXccjfdEzsL7bY7M+QJYktlsWs+N57s6KwYjVnR5xBHOT+WvzTLfdgOWhKZDrhbzc7PLw1vH3e8p3gziOebbeToTbz9bb3F+ooLxm/7w4XQRJ9AonKtnkY5e3XhmO7TQtPr4zhiJLp+oKDmpmQFynh4c4Nur9ZNBjqzHgkzu1N0q3ma7l8LyQvbaNpsnDAcjR56bl+DxaaREEEdWiyZ250o3pc6Z8dxm5t8Zy5+6RKbLE/YUK6zt9JPno3tXUFVa2u7heiKEpLE6Pvv/FRifpFYh9ZhXLCc6szdEUBYkIVZETQfS75vlGm1ZX1C/qbZuPz1m/CMMoGeAAsS9JzRtSvutYjp9oAV0/ZHmryweLN2tPqqkKhZzGr7/ZRZLg9z+evjZ7/jdhpzmg3raJ4xg/jPG8ANIkjhtLWqG5xoRhNCLWDMI3m/yK45hm1yEMYxRZIohiKoU3n34d2D49y6OQ1RmvZHi61ubRSgtJkliYKhzbIJ0ZzzNzxoi1N8UPIsoFAz+MyJoqwfBg2u65lzLEUW/ZiTNys+OgKBLVQ43xaslMhOzGMc1M1w9HikXtY9wAUlKukmrRTARgqiKPCPufrLYS0XCn7/Lp3fEzb0gORjH6QTRsThrcPTSktH/NC9cL6A3O7tro+RGVooHlBmR0hSdrbfRhMeekNeeqEc1YF0M73kEE4Nl6C8+PuD1beqtCVEWRz+QudPgZ4ofhCR+Zcl7Wd3s83+gwN56/tME9P4hGYrcPlz5MQ+XBYpU4js9UfOhbHo9WWkSR+EyVoslOc8BYWTzn2j2Xds99q+lWF+HJajtxDDrLenZwDYuimN7AO3PDstV7JXZ13BDHCy6luVwrmcn3oKnya5u2KTefOBbOcK4XJAXaiWqG8UqGO3Mlnq62ieMY2w14udXhzmwZQ1Nw3JD13S6dgc9UNcv4JUeTV4sme22b+ck82w2LfEalWsowsH12WhYzY5e7tw+jmEfLTQa2jyTBnbnykT13Ssp3ke7Q/fyqkjjGymKI13YDBrb/zl29U1K+64RRTKNtIcsy1aI5spfVhs1PSZKQpNGTgH9KjbBWylArvf8D+9vNQSKABHi62kqHOM6J5fjsNESaaxTFtLoOfTvAC0IyRgb9CtPgvms0OzbP1toYusLiVCEZAoiimEJBI2OozE8WuDVTYneYsAviDNEZuO/0uX2wvm05AX4QXchl09RVwiimkNMZ2D5PVtsj6aPP1l+JLi7TvOmyMHWVDxYr7HUcthv9pG7T6Xu0es53Yh1OSbkIh50ur9r5st6y2G5aJ9ZTFFni1kwJPwhpdl38IOKDpTcXolRLJo2uQzx0Ai8fcER/tt6m2XHYbg7QFJlaKTNc373X1gMP1jRtJ8Dzw0REG0UxlaKB64cUszquH5E7Zgk6XEf97N7Z+0IpKe+KR8tNXC+kkNWptyy8IBreOzEb9T4PFqrJ+vGmdcXWULA6cHws22dg++y2bR4sVC5FiHZQX3EZe7jDPb6z6Ea29vrsdRxmxnLp3uQ9JBr2GfbZ2O3jBRGdnoOiyCxMFhgrZ6gWzZH+oabKR/r6MPqscb0QxxUGkY+HqaBwtA9XLYrnHrFIsirljz7PWgeMZIIgom/7VApvdo5YmikxPZ5nuyEGrw6fDdZ2egTDtaDZdaj1zTStM+Xa83illWjKun2PT++NnXv4qJDVTxzs84KISsFg4PjkTA3PH31+HOx/207ANy+biZboddqcGEbux6N7fLG31lX5rWoPmh2bzb0BcQRTtRxeEL1xChAIHU4pryeJtaW8ng5wpHznOXyfBzcwxSIII5Y3uzS7NhLwYqNFHC/euAFQL4gSLaiqSG881J5yvUiHOK4xGUOlXDCSA9P0GwqnXmx0aHQcml2HvuUxP1lgU1P4+A2m23uWx6PlpogilWBxqsjz9TaNroMsSXhB+E4apMWcgaGrrG53k7/LZS7ncj7slDOw/SOFn/nJAvmMhh+KaX7lUKFTV4Vr+v7DKncN3cJS3m8mqlkMXcH1QkoHhrfiOMY68OD2/IgwipDls60JWVNNHvyyLJ0oflZlmZebHfwgopDTT3R/OolizqCYM3C9gN7AS4qLW3uDt77m+EHIVy8ayf183GH1l19s8nyjA8DT1Tb/9A9uoV4zkcNkNZsM9umazFhasL1U1na6/D//7WOiGCQJ/uynS3x69+JxmqW8QdZUsZwASYLJ2miTsdVzeLHRSRKpXnd/bDetZIADoJDViOPsSHH2JjE48Mz2fOEUq5+ynuUy2qvvVRJr2lnJZbREWKsq8rmKPccxVRPOd64XUi4YZ4qoTrnZyLLEVC3Lk9U2AOWCgSLL2E7AZDXLbstiuzGg3fPIZcR+d2GygOOFPF5pIkkSX0jwD380/8bng9O4NVOklNcJh+vJvusWgMTlFy26fTcRD8SxSPhKhzhSUg4kcRzT9LwMMoZKPqPRt3322nY6xJGS8o7566+2eLHZQULi/kKZH384BQhH5WbXoTd0qC4X9ETsbRpK+sxkuD+ReDXpfrN6LNeads8dEbh2Bl56zV0Cm/U+//Ivn4t0SBk+WKzyX/3RPSxXnAN2WhbEYpAzn9EYZDQanVdiinddX86ZWrJ/1zUZ9YLCBT+MRhq/B2vythskAxwg6oHXbYgDIJ/VyWd1gjBKHPJTUlLOxsxYTtTTYyE6Oyld+jLY2uvzH369RhzD5xL88Q/nmT3GhC4MI7550UzcdqfHcsy/QQoHiOTDQkZjbbdPKaezX4Z1/TBZJ0xNpd62k57HWeqTOVOjZ4mzoqbKaAfrkpJ0JqHqwXXWDyL8MMI4Y18oJeVdEIYRrifuR02VqRSFAHXf5Dtv6nx0u0a756KfYsB2GNsNeLLSYmWnSxwLwaokSeiaTLfvMXAC8heslXQHHo9WmjDsF32wVL3wOpczNYo5XdSNJF67N3q52eE/fbEJMXz1fI9//JMFxsqXawqU8m5RZInJWpadhkUQRsiyRL1l8e3LBp2BR6Vg8v3749yZK3Nr5vVmgAf7Z4oiYeiKMJtyTtYVVIomHy4J1/5CTj9WN5DLaIkg/DRtwXHUWzbLWx0kSeLWTPG9ThtN+W4RRfGI2Nb1Q8IoRlUuv7gVRhGdvoftBvh+LMykD5DLaElCXhTF9GwfZShk3nyNNue0Pf1l7K3Py9P1TpIAtNu2+MlHk+f+XPfmK0lSSVobS0l5da/3rLPtSa8jnh/y+dM6g+E6bD/dIwii0XP2DeDWdIkwjInimHxGo1pK16ibTDrE8Y5p9YSgtlIwjkxsSpLEvfkyAydAlaWRaMKzfW5xyOpZHq4X4gcRkiTRt3wqxbMtPK2ukxRDiKHRscUGJYYojtlr26f++6tgoppNvrfbc2VqRRFtfFnC7nLBSJpmSJxY9DltUlhRZB4uVYUbgCwdWxBOSblqSvmj164kSZTzr4bDchntjZquSzMldE3BDyImKpkTHfeiOKaY0/GDiHxWxzvB/ek4pmo5On13WPAxUA8MnZ11MMJyfPq2Tz6jXdgpv2f5I9PDza5zZL1Zr/cPfLxw3Ltsh/SLkjU1Pr07LtIDDDV1CbhkHq+0kqZcHMOz1falDHEossSHt2pYjo+mKUcGB15udhOnndXtHrWSeeqg5uEBAU2VmZvIU29ZWE7A7ET+zM2O68Dh9ex1AxAzYzlkScJyxIDmm6Re3J0rs1HvE0Uxk9Xspd5Dx63XKe8385MFglA0PPZ//+WCgedH5LMaSksia6pUiya5jIauK0QHEnfiWNzzlznEIUlSIiDwCyF928d2AvJZjYnK5Q/+Hb5fLyoCS0l5X+gOxHPtqpI4QKRx9G2fettmcTptfqakvCsc1+fFpmh0xsQ8WW3zo4eTSJKE5YrUt/3nv6ap3J4p0rM8xqu59LmJGHCfnyjQ7jnousL9+cq7fkk3lqypMVXLst2wUBSJ2Yn8iDNjOmh+OTS7Dms7PVE7CGFtu0ff8ZMa02QtSxBE5DIakiQlfz+wfcoF452cGx0voDvwyJka9xfKbNYHRHHMdC13Yfd2XZUT0woYrcGrioQkkfQlrvs1ODeeZ2D5uL4wZ0hdf1NSXo+uKcyM5cgaKuWCeaWJEKvbvZE+5/pO79ie3cAJEpEZiP7tmwrN+pZHz/KTBI6VrS4f3a6hyK/WtXLBQNdkaiXzzGvG3fkym3uiLjlVy40Yy81N5LEcP0k4r5zU0yyYiQAta6pp0lbKtUdR5FdDC8BkNcfMeJ5vXzZRVZmffDiFrilMVN+sF7e208P1QyYqwvgMU6WU19FVBSQuRUDb6jnJsHkciyHpiw5xyLLEg8UKA9tHVWVM/XTdyNpOL3kNYRizvts/dYgjjmNaPZc4jqlc8bqccnksThUZL2eIophHKy2+eLpLGJKk/e21bSpF80xDHLdnSzxabuL5Iffmy0nd4aDprOjDjfYg9webT3uNmirj+RHjlcxrr919wihmeatDHIvr88VG50iqyD7zkwUsp4UfRFRL5kgSVkrKdUSWJYp5PTEPLGT1q6v1DbV94o/D6cID3JuvJPvMWtHk8WrrzGfxWilDLqMRBBFZUxt5dvRt/8J76/MSR2K9iuMYU1OxvJDigbXL9UO6fY+MobxWKyDLUpJunpKS8mpPajln25NeR1w/JAiixPzW96MRI9ybwh98Ok0uq+G4AQ8Wq2TNq+srp1w9N+9Oeo9Y3e6yPYyqz5oqH96qHTkQS5J0breHjKEysH0MXSEIIlRFRpJ4o2GQw+LnYlZnspqj2bWRJZnpd5DCoSoyH92uEUbxkQSMy6CUN3i4VGVg++LQeeDn7wcR240BIITmp21aM4Z6pgNxSspVEMcxuy0bxwvEoNOBw8fduTJ7HZs4hrHS8cWOk1Bk6cyHq4PRvFF89g2Ppsp8fGcsuccbHZuNeh9Flrk183qRWd/y+HaYICRJ8HCp+kZC7cOYujLi7nmcQ0gxp1P3xFCbqsrkMtdzc6SpMpp6PV/bTedwo6BWvryGvSxLJ1/Dh26t191qc+N5PD/EcgIqBYNaKUO9ZaOpCvmcjOOFBGF05sSud82brmfSMTHLZ0VV5FNdflpdh+7Ao5DTUyeOlNfybL1Nq+uSM0UR8d5ihUrBpNN3yRoaM+N56i0bRZGYqGS5t1Bmt2GztvNqaPC4gWLPD5Mh4ula7tzDRpqq8MmBZ/FVkM/qzE8W2G1ZGLrCUiokT0kBhNs5XO2A33glw/JW952YMqSkpLxCVWRUWSYYOuDp2qvnds5UyZmvhpQ1WeLZukh/bHRcPrpTu7RkuOMIw4itxiARCp5k4PAuMXWV3/toinbfxdTVGzWMfh1ZmCoyN1FAkkSk/IuNDo4XMl7JXKk7+neJrKlhaCp+4CNJQsCcNV7dW6auwqEf9btIwN7HdgO+ftEQTUwJ7s9XTh3+dLyA3aaFoshHBMbHIUkSD5eq1Nu2EEUcqCNqqsKduTLru70z1wPfJaah8tn98Ss9P6WkvE/UWzYvN8W+RlVlPs7qpybrXpTD9ZNy/vi6nakrSfIZHN8HeB0nlWZVRebuXJn13T6yLPHR7dobpSJq6sl1yayp8b37E69dg27PlijmdaIoZryceW0d9U36oSkpV8W9hQqNYe1irJxBliXuzJZxvIB628bbC5mqvtlwaTxsosiS2H8sTOZp9lyCMGK6lr8UIVrWGL2/3yQR/DQk6ZRe0SEqBYPV7d6Bt0/vWTzf6CSJQcW8zQeL1fO/0JS3yr6e5+5cmbWdHq2uRzEnzsf57PHpGMextTdIBqyXt3t8dEsMUWmqTLmgU8qbjJ3D4VmWJeYmzifcPqu6IGtqfP/B65+FKSnXifvzFfbaNjFc6ZCAMuxvh3GMIklH7hFZEnvVkAjTULk9W3ojbc5xtQwQ5+SDe+vDz8arpFI0klkVXVdGnu2uH/L180ZSj70zVxrRNaWkpLyeU/VLN4CcqVLI6XhDk4NyXkfXr1//43XouspPhsnuKTefdIjjHbJ3IGLbcgLhjn6Jsej35oVjdLlgEMcxsiwxXs6+UeFxrJwhCCN6lkchqzNVyxHFMdsNfVgoOX1I4dl6i2drHbKmyk8+EgvH2k6PMIqZHc9fqAl4lQewk+KbH680k8Nru+/yyZ2xK3sNKSkXYaPeZ7MuCuy7TYuP74wl977rh7R7LlEcY2gKj1eaNLsuM+M5Prt38eQAEO5PfVskWJTy+rkc6Pbv8Vop80YHp+aBBKE4Fm9fZAOZNTXuz1eoty0MTWH2mELT3/veHL97sovrhXx4u3ZpBdmUm8Ond8fp2x7Lmz0mqxn+8LOZt/J1F6cLvNgQTjQz468XVymKzL1DDrWNrmiCKJJEEER0B96lFyv6lpck1shIhFFMpWhcWJAiy0LgfpXstiwabYeMqTI/WTh2/9HqOjxdawOw07S4N18+NbEr5btNGMW0usK5av+eLWZ1tht9/t1fr9Lo2ixNFZmoZpmsZpkey1EpmFQKJl4gGpTjlSz3F0bv5SiK+fblq2jivu1fuNl21Q2P6bHcjYxZTUm5KuI4ThwmrzqJA6CeDnGkpFwZm3t9Oj2PXEZlrJxhfbdPHMfMTRQSwZ6qKvzex1N88XQPSYbv3xtnbafHwA4oFwz+4Y/n+PJ5A23oQOt44hkfhBGdnvvGjrNvwtP1duIG2Oq6fHJ37Fo6sZqGytQ5BJYpx7P/O9ZUhQepaOvSWZwu8mc/XeI/fbGBoar8wfdmKOQM1nZ69C2fUl5n5pLTnPu2z7fLDVpdl7nxPPcWymc2bWj33FcudMOE7pOGpcIoHrr2ChHEwPaPnFeOY3/g4ziqRfPGGSSkgrGUlLOxX4sEklrkVQrX7i9UcP2QestivJLlwdLx65OuKdxfqLDbtNBUmdmJN1+TC1mdWsmk0XFQFGGIFYYRX79ssFkfMFbK8Om9MXRNIQgjVrd7eL4YmrxoPfZ1a9Cb1lEfrTSxh/3QTt/l47QfmvIOUGTpyLlH7DtaifjScUNuv0avcJC5iQIDp0UQRJQLBpO1HFMH0o7bPYdff7uL7fqMlbPUSiZzE/k30nCMVzKE0St9xbsQh+4bYja7DrNjhVOHceM4TpJ6ALp9Dz8Ib4zZV4qgXDD4L/7+bT5/usd2Y4CuKtyeKzF3xufZQbMX2wnYbVkjg0DlgnmpCfWvQ5ElFiYLrO6I17A4VRwZQAyjmLWdHrtNizCMGK9mWZwqoFxgMHRg+6zv9pAk6Y3v+5SUN0U+5hl3FewnT9lOQMZQmaqNfs2vXzZ4sd5JUjfnJvJs7Q3QVJn5qfMnZxiH9tZnXYsugz/6wRy/e1LHDyM+vTs2kkDXGQ5u7tPoOOkQR0rKdwxZllmaLmC5AZIES9PFxCT6JmE5Hn/99Q6uF/JwqXrqfj/l+pN2ud4hGV2lF4iGqCxLl34Q1jXlUpIgpmq5kWbKwlSRmfE8kiSmZk86xDc6Nr/6avtVVOfQ3WV/CKJvtfje/fGri4W7ZMIoTl47iMNrGEZv9bCaknJW+paf/DmOwXL8ZIjjyWoLdyj++PLpHrYXIEsi8aKY0y9l3ciaGt+/P04Qxqc6NHl+iCJLl3ofHU4bepP0oZMoF4xTXT2zpsrPPn07ov2U68vPPpnlZ5+83a9ZK2UoF0ziOD738zSjq3QR+xEkMC458jAMIx6vtgjDmHrbZuD4LE0V6VkeGUO9Uqfxi9IdeCxvdgHoWR6SxLGudz3LG/13lnfiEEcYxQRhhK7Kb5SElPL+oMgShqYkwxaaKiPLEv/9XzynNxRvP1vv8H/8r75H7tBQ4Cd3Tx629IJwJJp4/3OBcE/c/1opKSnXl57lJ2LJqxziGB8KpNIkjpSUq6HRsVkfpmf1LI+n620Kw7TGgdPie/fGE7H8rZkSC5MFkCR2GgPWdnoEYUx34HJvocIf/3AeEIYoW3uD5Gtcxjn3NA7uI1w/xAvCGxmNnpJynVBkiZ98NMUPH04SxzFRFLNR7yf3ds/y0DXl0oTMYRTz1fM9nq+3iWNo9YSg+KwDOqYxWu/PnGJY4vlhMsABR8/IKSkpKQcZqUUyTMJ+A/wgBKQ3qnGc1ZCtmNMvfBa7M1dmcTpCliRkWeLJSosvnu1BLM5giiLx/QcTLG91E9f77rBOel3EomEYJQMcIIwIU3fzlOuC7QYj4suD+444jvGCCE2RTxxCz2U0vndPJGgdt478h79bZ2B57DQtnqy2+dkn0wxsn+8/mHij13lYX/G2kWWZ790/22uWJAlTV3BcUVtWVRlFTuvINxFZlt/4Wt0nY6j4B7RL3oFeAwjtwcTr57QvlalaLqljHtYSrO/22Njt83KrA7GoXQRhdC5jKz+IiOOYx6tiwAuEtuKs91BKynVGU2U+vl0jCGNURTrSm3688ko79HitzZO1VvIM+KvfbfDnP7t17q99GXvr85DP6vzh92aPfd/hmup50vdOI9UBpKRcf6IoAkmkZQLE3Mx79a8+32R7zyKOYxodm0rJpHiDE1K+66Tdt3fI3fkSq9silWJ67GZF0aqKzE7TYmW7CzHMTuSZPeQU1rO8kYzDge2PbNCiKCYIohszxKHIErmMxsAW4vhcRhs5LH75rM5WY8B4Octn98aQ0+JGyjukmNMTF19ZltjaG/Dbx7vkMhoxEuqweNm3PXGtDvck3cHlNVklSUJTj9/sxHHM07U27Z6LLEvcX6hc2gFuopIVCUIDj0JOv3KX/pSUd41onp3/YDE3WQAJHDdgrJwhn7ncZqEfRoSh2BD4QYh/QNjheCEXHxu7OhwvGHl7v4h1mGLOYLthHXj7+PXMcvzEJSyf1XiwWB1pfra6DvW2jSJLQtQTw2Q1e60HXVLOx/3FCuu7wkFqdjgcPTjQcAyjGNf1kyGO9Z0ej1aamLrKjz6cPFZEqasKhq4k1+n+dbhZ77O+2wcJFiYL77R5mJKScjqtnhDwFLLalbod7jc/6610iCMl5So4uGeM45iB7SdDHEEQEUbxiKBov7bUGXi83OwShBGGplAuGELoJ0tM13Js7Q1o9x0WJ0tX3gAt5nQ6wyQOQ1fQUwfWlJRLQ5ElXm52qbdsdlsWhiqz3bSEIDEIGSsfLzR4U8IwwvXCJK3WD6Ik0ecsVAomi9NF2j2HrKkxfco5QteUkUH1dyHSSElJuTkcqUW+gchgo95nY1jjWJwqMvkW3IvPw8G+Z9/xR3ql+4LzkTrjUHx6niEOL4j4zaMd+pbH0nSRu/MXV9gqiny0H5oOcKS8hmfrLZY3u+SzOj/4YHLE9foyyRgqqionQuv9fUcYRjxaaTGwfTRV5sFi5cR7SpalE4c8LMcnjkV9FmKCMMQP5Pd+kOn+QoX1nT5RHDM3kb+WSYwpV8uduRJrO32CMGKqlkOSYLtpJc+wd7XHP8kI0vVCgjBMXp8fRLju2c87+2w3Bqzu9AjDiN2mRRTHdAc+GUNhopplZuztpQekpFwVp+t2Ipa3usRxTKVgDPd94n192z/239xk9k1tm12bjKEe0TleBMvxebQihsGO0wGkpKRcD2RZppjVebrRRkZiavF61hVeR73tsN0cEMeQNVQGlpcOcdxg0iGOd4imKtwZTnXdNOI4ZnU4wAGwsdtnspodKUxO1XJkMxrWcGN3a6ZEPquxMxQ5FrI6xhs67JyFMIohjq8kIePBooh7i2GkOPxsrcXnT/cA2G3a6JrCR7drl/71U1LOysx4Hk1VcLwAP4j4xRebyfsKOT1pvN6dK7O60yOOhbPK4gUiEd+E7sCj3XMBMdC1vtvjw1uXd8/MjOXhBHOtKIqJLpBakJLyPhGEwhXuuHSJy8LQlGSwrJgzkntPVeRTE26uA+W8gabKIsVAglrp+HSNcsHg/kIliUc/6fvaqPcTl7C+5dPqOonLquX4PF1vQyw+TlEkpqo5ugNPRL1qqXDufSJjqNw71FS/M1/m6WobgKlaluowvrdvefzl5xv4foQkieGnf/SThSOfU5YlPrxVZadpIcsSk9UcYRiJAQ6AWLh4T1azqftLSso1pdUVQxzlwvHPm8tifDjknCZxpKRcDZWiyVZjQBiKYY3FqWIi0isXjBNNXIIgIojEXtENQp5ttBkvift1dadHztQo5006A3e4tz65IL+/zz+v8ObufIWd5oAoipmsZlMBT0rKJWI5fjJImc9q/PrbXcLhPft4tcXtufKlDF7rmsJEJcNu08L1Q4o5nfHKm6V8TFazZxJIK7LEw1tVdlsWiixfmag6remlpLwfKPL5apFBGIkBDoAYVre7TFQy16rG4QfREYfj2fE8z9fbuF6IqsgsTovvfaycSYYkDF2hcE6xxW8e7fBsrQ3AdsOikDMuZR1+sFhhp2khARPXdFgmZZSLngEuwk7T4ldfbos3GhZxFPPTK0qv11SZD5eq1Ns2mvpq39HoOMk95QcRW3uDc+kwlqaKLG91yRgqhi5j6BrVkvneizBNXeXufPldv4yUd4imKtyeHbVd+2CxSqfvkstoVE9In39XjJUztLoOhq4QhBE5U3vj804cx6zt9CAGWZJY2+kjyyItuZjTWd/pY+rqtfvejyMIIxT5aMpCSsrrGDgixSaOIQhDaqViYvy6NH11+gEQ92AQHp+MdZWMVzJvvF6chc36IBky7Vs+zY5zJV8nJSXlYsiS6L9kNCGbd/3oRvY/MrpCFAnhdiyBaVyPZM+U85EOcaScC0kSB4B4aOUlSUc9wE1d5c9/tsT6bo98Rk+aT+W8QRjFlPPGhQ8RYRTTtzwMXcHUVeotm+WtDnEMc5P5S5+MVxWZmWMmcdt9d+TtzqG3z0sUxWzU+7heSK1kUrkBB8SU68P+geDJamvk701d4f5ChTiOKRcMml2HVtdhopZ77VRmGEas1/v4fsRENXtu143DGyD50FrgByGWE5A1tUs9tPUsjyerLcIwplYyb+wgXcrNxvNDbDcgl9HeqfBgZbvLTkOIve/MlahckWBUkkTaTrvvIksSuiZjuwGFrP5OBxN6w0h0TZGZncgf+7vQNYWP79ToDjxMXSV3SkpJuWC8dijl8L7n4Juu98oxyPNDlEi8M4piXD9MhzjeU1o9h0ZbNBr+xd+/yzcvGvhhxPxkAccNMA2VnuXRaDsMHB9Zkk4dVNZUhbmJVwOZYSSus3333bSAn5JyvWkNh5yrxasdctwfIKy3baJDiQApKSkXJ2OofHxnjL7lkTFUMoYq6kYxp+4Xi3mdxckCrh+iKPJIgl3P8sgdcJF13ODE8/iz9TbNjoOiiH34eQSBiizdCLfJMIzo235SF3yb9G2f7cYAVZGZHc/fqITllHfLwedu1tAoZFUkJHRNQVVkOj3v0tLzHixWGa9k6A18auVMsm64fsjGbp84jpkdz2MaF79/dG30LHJWepaHLEmnnrf3Py6t6aWkfLeR9v9vWOOQr5FQMYxinqy06FkeuibzwWI1WVsnq1n+9PeXqLcGVPImteF5bLKaJWequH5IKW+cuU7suAFru31sx2dxunikH9npu5cyxLG/x0m5GVzGGeAiHL4OuwcShy+Lg3sG01CZnxzddxzpO56z1vGH35tlfrJAGEWUcjqyIlN+g6Ts3ZZFp++Sz+hMj6WJyCk3m2JOf60W4Cp7no4bsFHvI0kSM+O5kXN/tWjy8Z0xbs0UiWLImtq5dAv7mqdoqJtQFClJPY/iGNsNLvNbunSiKObJWotu30NTZT5YqpK5hPNdyncHU1eYrGaJoohizuAPPpuhM7yeDj9rX4fjBWzWBwDMjOVOrTXYbsDjlSaeH1HM6dxfqNz4PsXho4mclgpT3lM6fZd6y0bTZObG81disn6VeEFEMasjEYMkkTVUgiBCvWH1/dnxPLstCy+ImJvIY2g36/WnjJLu3lLOzZ3ZEi82xcDE4lQxWZQPxomausrduVGX4dIbFDpOIwwjvnnZxHYDJEkkCqxsdxOR2vpOn4lK9koEso4b8HKzix+GTNfyLE4VebrWJgxjJInESeeirO32kuSSZs/h49u1c8Upp3y3mRnLoesK3tD5c2mqNCIcqZUy1EpHJ8BtN+DlZocgjJgdz1MrZXi51aXZEQ7B7b7LJ3fHMM4hLC5kdSZrWXabFrqmsHAgAcRyfL5dbhKGwlnv4a3LKzas7fQIQ7FINDoO45XT3Usvg1QYl3KQvuXxaKVFFAlXiY9u1y4szo/jmDh+s6aE7QbJ8yWKYla3elc2xAHitR10qnnbz7JW12F9t48sS9yaKaKpMo+HvwcQApb7C5Vj/62mKseukedhfrKA7QY4bkC1aI78TPJZHV2T8fyIQk5HGVZ2TENJn/3vIT3L4/FKk5ebXcbLGbKmRhTHPLxd49FykxcbHZDEfts0xPviOCYC9Dc4gCuyxK2ZEstbXSQJbs+Uro3AISUl5Sj7SRxX+UwGkSwlScKhrTNwr/zrpaR8FzE0BePAHvIs99nMWJ6B7TOwfUo5HTeIsB0hFthP84iiGE2TKeaPP8d2+m5yZg9D4Sh5mamX14kgjPj6RQPXC5EkuL9QubSa4z6tnsP6jjhHLE0XE5G5H0Q8Xmkm9QXXC3iwWL3Ur53y/mLqQnS4Ue+jyBK/99E0Xz1vAKCrCrMTQux3GfUkWZYYK2cZK4ta+rP1NgPbZ7dlUcqJ+6VneXx2b/ydnBOerbVpDvc/02O5UwUiq9ujNb2JqvfWBaopKSnvFkWRuTVdYmV7WOM45BZ+1RzsfR6m0bbpDUXrnh+xuTcYeX2lnE7pmD5EPqvzJmMSrhfwb3+1wvJ2F12VebTS5NZMMUl40nWFmVQ0/p3jOpwBDvchD/b8LoP9IRU4ec9QK5m0ey6tnkPW1C40hHTWPv/h/VqzY/M3X28zsH1MXeHHH02n92TKe8FJfcir6Hke/Jp/92iHjb0BErDbKvD7H0+PfEwuo712GPw0JElKNE+yrHB3voztBGyEffJZMZRSeY1527um2XXo9sUexA8iNup97qYD7ylvQM7UWN3uiT9ndSoF49x98d89qbO20yMG5sbz/OyUVK6Neh/Pj4iimO7AG2p3bnZqxdxQB2C7AZVDOoCUFBDPttWdHu2eSLm6NVO6cWlvjhfwZLWVaHODILpxRiumrqIoMj1L9F7GypkbN8ABYh9TzpuEUURGV5PfyU3ktHrLd4V0iCPl3FSKJj88sOlw/ZDHK00cN6SY17k/f7WTsu2+m0y+x7GIah3hCu/tF5sd+paIZH251eHTO2P82e8vsd0cMF7OMFa+nGjh/WY9ALEQ3aZCzpQ3JZ/V+fOfLrGxO6CY15g+o5vmi41OEj38fKNDPquPXJNRFOO4wbmGOECIUI6LTd9r20lTNggj9tr2G0/5n5Wr7E/3LI+nq22CMGKylj1XRHzK+8dO00oGB/wgotl1LuSw2eo6PN/oEMUxcxNnT6A6cum/x/thPxBClf1Dy7P1NrdmSsnvAQ49b68QQ1P45M7Yse/bL3C3ex4fLFWJohg/iKgUje/8geV9I45jnq62afc8XC9kc2/AndkSthPQG3jJs5cYthsWS9NF5qcKrGz10DWZhTd8Jo6VM4nrfkpKyvVmP4njqhMYVUWmVjTZ6zjsNK10iCMl5ZqgqfKI2CqMYlpdB0WWyBgqv3tap2t5zIzn0NXjz+FHkt/e441+q+uKNDte1QUvc4gjCCOerR04R6y1+ez+OCCcRvfrFgDWWzpPpLw/TI/lRpyZJ6tZ2n2X+YkCuYyWDDfomsyDxcsxN9ncG9DsOMRxzE7DQgKKOQPPjwijGFV5u+uF54fJAAeIe/i0+l86i56SkgIiffxti7vCKObpaovuQKSsPVisHBWoHlqjrmrNerHRYadlDcVhIgUpl9H5kx/PJ8+RfDrg9p3jOpwB9vuQa7s9ynnjzH3Is+D5YTLAAbDdGBy7Z5Akibvz5Uv7uq/jxUaHvbaNqso8WKiQy2is1/u0h7UdP4hY2+mmQxwpN55Gx+bFRocYWJgsjPQ0d1v2pfY8D+IHEctbPeLhofzlRoeffDh16fqjg5qnKIpp9RzuLZTRVZlizriU1MKrJD0npVyUmfE8EhBEEZOVHH4YY5xDyxyEES82OsmasLzV5ScfTqKeUMP0/ZCXmx38ICKX0ViauflaGkNT+PgEHUBKCsBe20mMVl0vxNCUK9PCXRWuF44MC1jXPLHqOMIw4vZMkayhIskSk9XMjTRnzpjqiHnETdwTvG2t+XXm5o0RpVxbNut9HFc0T7t9j722faVf73CRVFNlbs+WhhHKQiB+FSkcIA6NCbHYkFaKJg+Xapc2wAGj4h1VkVN3sZRzk8/qPFiqvFHh1A/CV2/EYoK2UnwliNA1+ULuFidx3L19WSxOCQd+JJioZq/0nlrZ6hKEYq3YaVj090W5Kd9pLvv6frnVFcWQWCRQeX74+n8EmIbK7EQeJFAU4Sr7vhKG0chB0g8isoaKob/6XRxc294lmqowXslQzOmUCwbjlcyV7WVS3h3xcO+YNVQUWSKKXkV1H14T9t/WFZmxsknlkt2lU1JSrhfNJInj6u/1/XPB9t7gyr9WSkrK+VBkibFyhkrRZL3eR5YkynkDyw5GhM8HKeZ0JqpZkMQ+4rIdcK8Th9PJLrN2AEKwOXKOCF/VAk1DxTRenSdSZ72UizI9lufhUo18VqfVc5N73PMj1nZ6l/I19uvZkiSRy2gEw0GkQlZ/J+dORZZGmnLaa17DwoGa3uQV1/RSUlJSDlJvWXQHwuHadgM2jzlDjZUySfp5xlCZuUACwGlEMeQyr8Skhq6ia8rIcyTlu0cxp4vhpnd8BshndR4u1S51gAOO7hlOGmh/m3T6bqKDCIJX+7WcoY2Ipy5jEDcl5V3zcrMrzsYxrO70CA+cjU/qZ1wGwtDi1f1u6ld/P8myRK2UYW6iwEQ1d+0HOEDUI/Z7nIauMDdxNXuQlPcXTZWZrOWYHS+g68q5jQVlSSJz4D41deX0xE+J0UHoG+wgn5JyVvxwVMsTHHim3hRyGW2kLn8T6+KSJKFpCjPjeaZrOXRNvZGDA0vTQ120JAyDbqIp/BGteedqtebXmeu/60y59kRRzHZjwGa9TxTFGG/hAAWiwTQ/WWCvbWPoStLI2Re8nCcC3g8i/CDE1E9foKfHcixvdgFRHLsKITuIhpSpK9huQLlgXFr8ZErKWZgey7OyJa7zUl4na6rkMgVypoYXRFSLxpU0eScqWWw3oGd5FHMGk9XzDUYFYYTnj97PuYzG9x9M3Mgp2pS3SxzHbDcsXD9krJwhf4Z1vtVz6PQ9cqZ2oiPczHgezw+xHLGunzeO9NULPf8/nR3PMzOWO9fz8iZhGiqVokGrKxywpms5FEW4HDe7Dpoqv5XDpe0GyLJ07vSilPcHWZaYrGXZaVgsTBUwdJWl6SJZU8XUVRani+w2LXRNZn4iz/punxhYnBQfmzHTI1xKyvtK+y0lcYA40375fO9YAVJKSsq7o96yGTg+pbx+7pScpekiC5OFG33m9YMQP4jIGOqJ55VS3mBuIk+j42Aal+9aZmgK1ZKZuP4eTE1QZIkPb9VodBxURbr4uS7lvafRselZPoWs9s6ul4lqlmbXIYpiFqcLTFVzBFHE+CUaEr0JiiJzd67M2m4PRZZem2CbT2t6KSkpCEf+rcYAWZKYquUufYjzvMiyxP2FypnXqDiOsd0AVZHfqO83PZajb5fRNQXPD/ne/fE0ATwFgFszJRaniu/lM1JRZO7Nl1nb6SFJ18eQKo5jvCBCkaVk+HtuqsDtthj8ymU07s6VL/VrWo5PvWWjqTJTtdx7+fv+rrOvu/GCiIlK5lqK8Q62JS+953kARZH57P44L9Y7ANxdKL/2mt9/vmqqjHYNBr7eBpIkcW/+7HuQlJTD3Jsvs7zVJYxi5icK59b/yLLE9z4Y59lqG4A78+KetRz/2D2vpircmi4RxTGyJF2pXsFxA3aaFooiJTqBlJR3Qa2U4flam3bfI5dR+eh27fX/6JqhDnU2rZ6LrspvpZ952ciyeHY+W2sNn6Pld/2SzkUhq/ODDyaI4/jGar7iw3q37/BAX6oASrkwK9td6i2bGNhuWMyO56kUTWrlq29IHY6eh/MNb4BwzXi61iaKYvJZjQ8WqycedCYqwu0rCCPyGe1KF8NS3qCUui6nvAMmq1mKuaPX+VVvwmRZ4tZM6fUfeAp9y+PRSosoismaKg+XqiOHsbdRxFiYKvJ0rUUYxoxXzjYEkHJ9WN3pJVGGe22bj+/UTnV56fRdng6LEgAxMROVo0IIRZa4c4mF+8XpgogxjmFuIv/Gw343dTP/ptydKzOwfWRZSoremiqfe0jsTdmPVkeCpamicEdO+U6zOFVkrJQhRhjNPFppEoYxGUPl4a1qcm0+WW3R7rnEwEZ9wO25Egs3LFY1JSXl7LzdJA5xjt5KhzhSUq4Nuy0rMQzZbVo8WKwk9aC58Tx9y8PzI4p5/bVDyDe5cd/uuTxbF/W5QlbnweLJEdoz4/krc7oGcY7oV72Rc8Q+qvL2zhMpN5tW1+H5UHi02xR/d5q4qVIwKBcM2j0XTZUvzUk1n9H49O4YjheSNVVWt3vstW22GxaLU8V3cj2Xh9/rm3CT17eUlJSLEccx3y43cb2hS+PAeyuil/GKGILrWz6GrhzpSR7krAMcT9fatHsukgS3Z0tnFr1Wiyaf3Rvnw1s1cqaWrokpI7zP18N165UXsjpdy2OnYaEqMovDwRJDU/jxh1NYTkDGUC5VRO4HId8uixoygOOF3J69WC815fqxr7sBMQj+yZ2xd27yuTRd5OVmhxhYmBwVeF92z/Mwd2bLTFZzSPBaU9U4jnm82qLb95AkcZ6/icLS8/I+PwNSrpasqfHhrcvZU9+aLjFRzhIDOVMd2fPemSuP1DMP1zprpau5X8Mw4pvlJsEwndRyAu4vVK7ka6WkvA7HDVBVmUJWQ9cUBo5/ZabhV4muKTe+Lt7pu8OU4pjOwLvRqZY3WfM1M56jN/Bw/ZBCVn8rWvPrSjrEkXJh+pYPiPjSxekid+bOXnC8KuI4Zqdp4Q0d1M/iUrC1NyCKROGjb/m0++6pTfHXRaC6fshu0yKMQhptlyiO+eh2lax5cxf+lOuN5Xh8/aKJqsh8dKuKfoLgPAgjdpoWURQzVcueWkS8qVG/mwfuZ8sJaHbdE5MRLgs/iNhpChHcVC1HMafzg6FDYDrNf/PYf7aBcL6xneDUIY6B7Y+83bd8Jt7C+b9WylApmMRw7njTt81e28ZyfCpFk8JbOgxJknTug1ff8mh2HUxDPXYwZ5/lrQ47DYvJWpal6VfNE8cNkmh1Yljf7adDHCnAq6bDs/U2YRgTBBFfrTfYbgz4g8+myZo6PcsDYLKSJSxFfHSrdqSY0+m7dPou+ezrBZ1nwXJ89tp2UoC5yQf/lJSbRmuYxPE2EqLSIY6UlHdHq+vQszwKudG0jYNnEBBnjH2hkmmozIznGdg+Y+XMO23OO17AV8/3APjw1hjZS04J29zrJ+f5nuXRGbjnTiW5DG5yAyflerC/p4/jmHbf5emaGN4+qV4tScLNPQwjZPlibpTH1Qp1TTlyTt3Y7Y80Xx0voN6yk2GlVBCUkpJyHQjCKBngALFXOq/jZBTF7LYs/CBirJw5tQ+yn8AVhNGFksnXdnps1vtkTBXHFd9HHMNGvZ/0VP0gZLthIcsSU9XssX0FU1dJ24wpb5MgjNhuvOp9XeQ+eNucdPY6SBBEfP2ygeuH3J8vUz7D2aM78CjlDPIZDVmS6PRdZofD5aoiU8xd/k1qu2EywAGv9pgp7xcHf69hKFIlLnuII45jdls2rhecSUczVs5QLV68D1lvWbzY6JDP6jxcqiDLZ1tLzmqS2B14dPv7Zy/xfH2XQxxhFLPTHBCGMRPVLMY7HsZJSXlb7Pcwe5aXJI/Hw7rDwb7H26p1un6YDHAA9A9pOi7K/h6/Vja5O/fdGw7x/FCknMgSkyecX1JeMbB9FFkma4qf09vSFKWMEoYRazs92n2xRoVRzPQNTLnzvJBffrVJ3wn44YNxpmpXZ3Z1VZi6ymf3xy9cb3kfuJnq3JRrRTGvY7sBAKoqU8y9eyeM1e0eO03hoF5vn82lQFFGF+OLHELDKObRyyauH/Kbxzu4XkStZLK22+ef/+Ft1GsS8Zzy/hBFEf/2r1cT0cdO0+LPfrp07Mc+XW0nRaBWz+GTO2PvnUDz8MNdVa7++3u00sR2xFrY6QsXMEmSjqwtKTeDYk5PBjMURXrtBHwxpws7/WENvZR/e520m3SY2G4MWN3uiT83rWMF6dcJy/H5drmZxPgFYcTM2NHDz/JWh7/63SYAT9faxDFJopAsSyPXRrompBxm/5n1xfM6nb5Hz3Lp2T7//A9vU8oZiTN/1tAwD4kKOn2Xxyst8UbDuvAwteePOrq5Xpg4yaWkpFwtrh8me4+3ksRRE0Mcm+kQR0rKW6XVdXi61gZEmu29hXIiJirl9VeiaokR4c/BffRe2+aj27UzGZZcBf/+b1aTJuxGfcB/8ffvXOrnP3qeT2toKTebUt5gu2FRb9u0ey66qvDNyyaf3j29Xn3RxvdptUJFOfmcGoYR375s4g9FDgPH5+4VuuumpKSknBVVkcmYalKDL+b1c/c1Djqd11s2n9wdQ3tN3+4ie5KNep+f/2YdEGZQ5YLO7LhIWlWGItY4jnm03Er6rd2+x8Nb1XN/zZSUy+LRchNreN+1ey4f3xl7x6/obJx29jrIL77cTM5ay1td/vnfu32qoRe82jvt379vw2ArY6ioqpwIUcvXKJkk5fIo5Q0cV2hcVFW+knP/2k6P7Yb4GrvDZ+DrBgwu2ofs9F3+/d+uJn0Hy/H58YdTF/qch7lutYQXG21aXVE7aXRsPrk7fmPM+FJSLoPD1/vh/vjbqnUauoqhKbi+GKIuXeKg5dZen5//dh1ieLoGYQAPlr47ivwoOpSUaHl8sJieX07jXWqKUl4hSRKbe/3EXMFxwxuludrnf/qrFzxdbwPwdLnF//6//Jh85mZeU+9633YdSIc4Ui7MwmSBjKHiBxG1ovnaQud5CKOYKIrP/Lm7A5d23yUMIwpZHct5vUvBwlQRP2jjeCHj5cyFYlk9P0w2gd2+B8NCsmX7WF5AUb34ornTtNis91EVmTtzpXfWvE+5HlhOMOLaudexj/24OI5HXDwcN8QPojO5eMRxjB9EaKpMEEbUWzayLDFRefeOfH3b5+VGhyCMmJ3IMz+Zx/VCbDegVjKv3GkjCKOkeQRigjqM4rQYc4OZnyxg6iquH1ArZV57jwjnmCqdvksuo71Tp9jriB9E1FsWqzuiGCNLEsRikMw01Gt7r/RtPxngAOgNPDimR7UzLHgD2G7AL7/cojvwWJouUsob3Jousb7bQ1Ekbs+kEecpo8yO53G8gL4VkDVVMoaa7BmXpovYXkAQRNydLx25V1o9hyiKk+dwd+CdaYij03dZ3uwSE7M4VUyek7YbjDi6dVNHt5SUt8a+IFpT5bcy4DhVE27bPcujb93sqOCUlJvE4Wdrb+AlZ4daSbjO7SdwGLrCZr2PLEs02jbruz1cL6SQ01mcKr6TOpAXRMl6tf/6He/01MI3ZWGqgOuFOF7A9FjuraX3paRcFaW8wYPFCgPbI2dq5DIaURQzcHw8P6Tdd8mZGpWiSaNjs7bTQ5Ikbs2ULuTifFqtUFOVE8+pthcmAxwg7vMoigmj6NQ035SUlJSrRpIkHi5V2W1aSJJ0oaTb7uDVniwII2w3QDtn387xAhodB02RGa9kjh0s2TedA3HmkyQJRZbQdYVbM8WR17FPz/bOnTRyEpbj83xd9FFmxvMjKUwpKccRhlEywAFifxGG0aW4LJ9nf7HbstjYFb3xW7OlEx36e5bH07UWfTtIPubg2esge61XeyTPC2l1HaaPMXI6SCGrMzOeY7dlY2jKWzHB0VSZD29VR9ablPePEd1N6Wp0N70DZ4QoirFs/9JSIhodG9sNqBRMMoaa3OONjjPSd9g98Fw8TKfvsrzVJY5HexevI5fRmJvIs9200FWZpXdsTtUbvPo5e36E6wWpniflxuIHIYosv5EmKGtqzE8W2GoM0I65Jw/ux+NYrE1XcY8ossTDW1XqbRtlqG06jTiOqbftZB0+rea53bASMT7ATmtwZUMc3YHHy80OURSzMFW4kKHfZeEF4UhSYm+Q9pRfR6opuh5EcUwpZ7DX6SABU2PZEb3FTWFzr5/82Q1CtvcG3J2/Wb0UP4h4vtHGsgMqRYOl6eJ7Z0J+VtIhju84QRCx1RiQMRTGyucr1knS6zc6F6HVc3i+LjYj45VM4mx9GgPbTw5/3YHH9x+Mv/bfGJrCh7dqF3+9XYedpkW771DIGRTzOq4nGl/ZjEb2jI3tge0ThBHF3FE3IccLWNnqAvsLWodPbojzScrVkDVV8lktac6OnbBplySJQlZPBjkMXWG3ZWE5AeWCceK97AdRkjShazJBKAarQBRD782ffBjZ/1pXKbz4/Oku7a5LpWCyvNWlnB9/qy5Vh13Achnt2orSU87OmxbBFVkmDOM0JvIQwoWhgeOGdPoulhMwO55np2XheAHbw/SA63hIzWc0epZHd+Chawqz47ljP26yluXpWpsojmn2HKaqWVwv5Nl6mx9+MMl4JXOtmyqW4+MHEfmsnq5d7wBNlflgscryZjdx397fMz5bb/Nyo0MUx7h+yI8/nEp+RyvbXV5udtms95mqCYHjWUVez9bbSdPk+UaHH+QNZFkiY6goipS8r3jKszuOY7oDD0WRzxxp/jp2mha+HzIznjtznHpKyvtCa5i6UykYb6VAlTU1ygWDds9lqzHgXiqSTkl5KxSz+sgAcOHQs7tSMKkUTKIo5otndVo9F1mWaHedRDzV6bv4YcRV4vkh67t9oihmZjyXNFF1VU7Wjv3Xf9YBjiiK2KwP0DTlVMGgH0R4QUgcC5HYZYsXU1LeBaW8we25cnL/y7JEEER8/rSOIstC/DdVYHWnlxgJPFtv84MHE+f+msfVCsMoTgbCxssZvn/M5+8OXDp9l0JOQ5ZkVFXmd0/rBEFEMa9zf75y45qaKSkp7w+qIjMzfrq4+iwUczp1z04+Z8Y4X7s8OJReZLnBsaLRyWqWb140iOOYZtcll1FBglvTrwZzVUXGNJTEDdTzQp6utSnmdKZqozXJMIzo2z66przRa3++0UkGRVa2upTyx+/l9toWthsyXcuhXoGAOOXmoCgyWVNNziJZU0WWJTp9N6kJtnsuuy0LQ1OYm8ifqT8ysH0er7QIwohSXufeGfYXnh+yvNWFWJwZXmy0+fTu0f5/z/L4drlJ3/LZ3BswVctSzBlHzl77jFUyiRO4ritnFozPTRSYmyic6WPfhK29PlEsjH8OY+rqsX+f8v5w1bobgEJWS9KAZVkie4m1/a+f72G7AaYpkzF0VFmmlNeZrGRH+g4HBzH32jbNrkPWVJmoZPnd0zqqLKOpMs83Onw/b5y5bzUznr+UfcJlUMhpSRKHrskYl2h+kZLytoiimCerLboDD1WVebBQptP36Ns+5bzx2qHq6bEc02PH99aLOZ2Nep+B7VMpGhSyVzfkJHr8Z1sbVnd6Se1mp2nxyZ2TE/umalm+ftlIBjkmK8d/r/skfVVZemNTrefr7eTM8WKjQylvvHPnel1VMHQlGeQ4aa+VMkohq6emRe8YVZHZbVls1wcgQSln3Mha50Qty5fP9ohjsaZOnbDeXmc2630abTsZeC1kdcbK11dXdZWkO8X3mL7ts7zZIYxi5icLVIsm6zs99jo202N5akWT/9v//DXLm10URebPf7bE7308DbwqfjhuSLVkMj95OUWI/anVKIoZK2eO3VR4fihcJFSZWslkdbuXiMXrLZvJava1E7jZjMZ4OSOGIPIGfhCf+vGvw3I8nq51MDWVewulE0VlluOLqKIYcqaOBPzZTxept12IYx4uVY8teH75fI+nKy10XeHBYgXbCbDdQAjucxr35sqoB5xI9n8eURQjSRCFF/v+Um4+sizzp7+3wNcvmiiKzMeHBhh+/ndrfPF8j2rR5D//e7fo9DWiOEZCYrM+AIT7r6bKxwqpd1sWzY6N5Qaosoznh4wPi0id/tGJaj8Q4mXh8i0axWPlDLdn39yB/tlaiy+eN9BVmQ9v1TANhXLeSNaBZ+stfvnFNmEUkTEUfvTBFK4X8nKzg+OGZDMajusPD5aVY+/fZtfB8QKqBRPznA2bDxar7DTFz/JwUyXl/afZsfg//Tef0+zY5LM6/4f/8lMWpots7fXZaVpM1XLnvi42633qLRtDV7g9WzpTcs51wgvCpPlYKZioikspr2M5PqauEkUxq9u9aznEEUUxqiKjqzKaIrHXcVAUGVNXsVyfnKlRyOrMTxb53n2f5a0OGUNhcvi7DqP4SkVnXhDxdLVFFMc8mC+j6yrLWx1+86iOIsNPPpp6rWvYXtvmxWYHYsiYKh/eqqWDHO+In3w4yV/8Zp0gjPjJw0kGjs8vv9wkRhTCXjgdPrxVJQxjfv7bdVa2usxPFJgey9Ppu6zv9vjmZYNP746xMFVgfbdPrZQ5so+P45gwerV3jKJY7AnioSPN0NVyp2XR7DpEcXzE9SCOReF2fw8wO5G/cAPx199u82i5BYjC5z/80fyRZ3bf8uhaHvnM2QdWLgPLCXi+3jp1L5GSclH23bGrV5wgd5DpWo52z2WzPjh1KDslJeXyKGR19to2m3t9ZsfzfKaPsd0YIEkS4+VM0ixwvICvXzTY2hPvKxd05icKOH5IKWec6sa571qZy6jcnTv7vb2y3aXVdciaGpv1Pl8+2yOKY+7NV/gnP11K9oj/6CcLfPV8D4APb53NUCSKIv7d36xSH7rcfnS7dqx4HGB9p58IO9o9l07fo1w4f1ruRQjCiL22jSxJjB34/RxHq+tge68cR1OuL+e9R87L33yzzdp2l2LO4P5CGUmSiKKY//k/LdPo2OQyGmMlE1UVfx/HQkwVnjCstbrdZbtp8WSliaEpLEwVk5r+Pi83O3T6Lj9+OMXmXj+pFa5ud5P7sN13+fh2baTO/pvHu3zzokEQRmR7Kn/w6Qx9209MS7p9j1bPuRaOjxfhMmo1JxGGEfW2jeeHyIpEztCuPCE4JSXleBodm19+uYUXRHy0VBtxxV2cKpIx1KTPcdzeyvECXmx08P0IPxQDrpIk8XsfTSVrh+UE1Ns2ra5ISm31bCoFg1J+dO8yO57nH/xgjqerbYp5g+lajjCMWd/t88GS6OVIksT9hQq7TYt236Xetljf7VEpmsN+qVh7gzDim5fCMAcJ7s6Vz3yOPNxL7PZdHjda5EyVu8Mz4RdP63zxTOz1qiWTP/3J4hsPcnT6LgPHp5gzjhh/2G5Aq+eQ0dV0fbwhPDjQ+5qsZnm82qI7rAmOlU0aHScZQg2jmNuzJYIwOlVYuL7bIxjudTp9j3bfpVo0R3QEtVJm5N4Mo3jE7fqgq/+vv91mdauHpsmMlTPYbkg+q5MxhfHi/GT+RLHczz6ZoZRv4Poh9+fLyWBTGMXUWyL5Z6ycuZKaeavr8IsvNunbPoWsRnfg07M8NE1BkeEHDya5t1BBH/4cdpsWW3sDNE3m9kzp3P3MlO8Gjhfw//6L59TbFg+XqvyjnywCMD9ZQNcU1nd7hFHEy43Okd5jvWXxq6+28MOY790b5/Zsie3GIBER10oZZidyeH7EwPIxDYVvl5v89vEuUSzW+h88mGC8kqHT9xgrZ/jjH8yxst0bupCLZ06n7/JiowMILcI3Lxrstm0kJOYm8mQMlTiOgevds2p0hPiwWjKTVJPbs2V2MgPCMGaimk37binXihcbHboDl6XpIuVT+vPNrpMkZgRBxJfPG8jDXmG75wpzw66D70dM1rJUS5lXfevFavL8Og4/iPj6eQPL9ZmoZPn+/aODmWEUI8Gli6vXdno0Ow4ZU+XWTGlkv9E9oH0Kgojnay0er7YB+OEHE8wd6LlOj+X5B9+fY3W7x2Q1k+ynT+LZejsZ7poey7HXtnm50SGb0fjDz2ZOHew42NeN46Fm8BTJyL42dHY8n+i6Lht52FPeaVoospSm/H2H2G4M2GlYYk86W7rUlO63geuHfP18jxebXSRJnCsuK23wbVIr6qxt9/DDiE/vjKHfwATl/Tp9GMXoqsLcZB642XXn83Kz7qKUN+LJSpONvQFxFNMbeEzVsvzqq20Avn7RYGmmyJPhZoMg4j/83VrS8Fnb6SWirK29AYWsfqGGqe0GbO0NWK/3UGUZVZGpt2w+ul0b2XCFw+Kj54vCzcDxk00ggOX67DQHzI7l0U95CBSyOk5RCEZlWSJrnv9S97yAf/OLFayhO02za/PTT2eOfFwQRtRbFkEgClOaKpPPaixNl1maPvLhCXtti8+f1InjmOXtLuu7PUp5A1NXGSuZPN9os9d2mKxmuTcvGn1ZU0scR2RZ4vc/PuULvAVaPYdGxyFjqEzXcjdyQvF9IGvq/PjDqSN//83LBv/6V8tEEaztiGn27z+YELXOQ4UPEXF69HNbjs/abh9iES12UDiZz2o4XoAfRORMDVmWeLzS4j99vsH6bp9izuB798dpdm0qRVG036gP6A08ZFmimNOZGc8fW7zoWx6/+nobYthzfF5udPi9j6fZ2O3z0bDR/HS1QyGn0e672G6IH4bsdWw6fY8wjPj5b9fJGiqmoVJv2fz978+NfI2tvQFrO73kzx/fGTtXbKymylfiupNyM/jXv1xhZ5gA1eq5/I//8Tn/4o/u8vPfrkMMX71o8Mc/nGd2PE/f8ugMvNdGcIJwjVrfFTF4rh+yut3j7nw5eb8fhGzUB0RRzFTt5CHH/eewLEvMjufeKKL8ouiqgq7JybN9drzAwlRxZABMfsfOuvtrWNYcTdGx3ICMoZIxVLaGBepO32W7OWBhskjf8pAlCVmWcP2QiUqOetti4IgBj7nx/JW6Bv//fv1KCLe20+Mf/WSRf/fXqzR7ws293ff43/7TD0/9HDvNV1GvthPQG1xMJPcur7WbzupOL3mOfLvSZHmrw6PlFrIscW+ujCTBy40Ov31SZ+AEOMO0l+9/MM7TtRZhFCNLEv/qFy8ZK2fIZ8Sz+vc/nhopHEqSxNx4PllbpmpZHDfgyWqbIIwYK2cwdAUJCT+IqLdscqY24qjjeOHIPbzTsEaGOJpdJ3HPmq7lznQfPFvvJH/eblh0B95I8XjfRY/h1uX+fOWtCDq9IOLf/GoZa+hO1mg7/OH3Zq/866Z899hP4rlqt72DzE3k+Xa5ydpu7619zZSU7zpfv2ywttNL9vb/5q9XmB6KANs9hweLQsTn+xEvNjr0LB9JEvv+Qs7A80IUWaaSP/4ZaDke/8tfr+ANHdDaPZcfPTxaJzhMo2OzvtOjO/DImip/9flGso/7+sUeP/tsmnJePJdNXT3T5zxIq+cm+1aAp+vtkSGOvuWx07TQVHko0GDkfXsdG2Pomve2ak5xHPPtcpNmx0GWoDPInTjwtt0YJO69W3sDPrpdu3HNq+8KluPxv/xyBS8Q90hv4J84UHQZfPV8j199uYWiyAycgIyp8pMPp/gf/+Nz1nd7tHoOsixhuzlkRSKOYmw3ZKyc4bN7RwUMra7DdsPi2+Um240BuYzGwAnw/JC5yQIz43merLb4/EkdAEVp8uc/u5WIiffd1wGIxb5+v47Qtzz+7tsdNFXU7j0/IpfRkpr4QXqWh6bIxwoHz3MWeJus7fSOrdVcBnEc82ilRbvnsrLdJaOrzE7kWZgqpIYvKSnnxPFEnQmEu/br6vadvku9LfYNv328m4jO/vbRNtMTuSRxVJal196Xv3m8y8DyyZoqv/hyi7GSiaYq/OXvNviv/+T+8KNi9to2rhew27bp2T6VQotbM2JIRPQnxTo7P1mgmNN5vNJKvsbBJXJtp5fU1Np9h69eCFfflZ0etVImGeLo9N3EMIdYiLrPOsQxO5FPzFyypspf/HYj2Tfutixyps5f/GaNGGEw0Ow41NvWa01iDtLqOjxdaw+/vz4Pl6qJIG1/UHnfqO5N1scgjNjY7ROEEdNjudea/aVcHgd7X5bjj4gb13f7I/vege3zaKVJt+9haMK48Lj9wuH9wf6bLzY6NDqitr3bsvj49liy/88YKtWSuC5tL0CSVVa3u0RRzKPlFn4QstO0UBWJjKEhSRI7zQHVgsG//MuXfHSry9JMkQcLlRGBlqrKx+67nqy06Fnie211nWTg6jL5xRebtHouO80BQSgSCQ1NpdPz6NmeEHdudvhnf3gb2w1EEgmiV/Rys8vDW5f/mlLeH/7lf3zObx7vArBR7zNeyfDZvQkkSRqm0Pt0+i57bYcgjKmVDHJZnWJW5y8/30zq4cJoKuYXX2yyvWcREfPxrRpP1lqUcjrbDXGWf7LawnYCTEPFdQOerQv3fk2VsF2fKBb3ukjKEPf1wfNJb+Dh+RG1ohgO6w48bs0U37nT/OvYf34DbDUGiWu/IkvMvMHzMyXlbfH50zpfDgd2H620+PM/uJXskQ9z+Djv+eHIc//ZWjsZAFvd7vE3X28n+++1nR5//rNbJ76Ov3u0zcAR68xuy+bxymitcF/DI0lwe7Z0ITOJMAxZ3uph6Ao5U0vuWdcPWd/tcWvmlRFtxlRY3ekRBBHlvM6jlSadvhi86Nse/+s/fZAYvYVhJOojqpzUZk4y43T9MBngAKHh2q+VWm7A336zwx//aP7E72F2PJ9omiaq2VNNP19sdPjFF5uA0Ib+6e8tnnuQI45jtvYGWG5ArWgeGcLWNeXSTMFTbgaW4yd1cHeoW/1g8WbtSX0/5MlqGz8S+qVHK+KMqtwwWct/+++f0bN8ImJ++6TOo5cNPr1/dXXuq8ALQ15udHH9gHLBIOaoHvu7QtpNeo9Z3u5i2eLgM3B8XC+kb3lYbkA+o7HXtvHDSLhCIVE6IIIKDjl9HX77TYiimL97tMPW3oCN3T6FrMb8VJEoihnYPp8/rdPoOEzWsjxcqiQizyiOebnZYXGqhOeH7LYsVnd6rO/0yWc1/uynSyc2RBenihiaghdEjJczRzYwb+KK3ey5I82qzb3+kY9xXJ9vlls4bsD6bo/pWg5DV6kWTR4tN/iXf/mCMIz4k58s8pNDIvv9Yms0jH/1fTEEMrB94jgWDwpZot1zafdcKkUTyxExyYtTBWRZTopI74KB7YuC7LDHHg2TX1KuD5u7A6IDt/DKdpfv3Z9gebvLylaXQlbno1sVMqZOOW8ce3/oqkLWEJHJOVPj/kKZnKkjyxKmrgiHzigml9F4eKvG757WebzapjdwaXQd+o6frDvTY6LZsrIthpBuzZRodmw29yy8IOTTu2PJQcn1w+Tacrwwcdbp9F3+v3+7ylg5gyTH5EwNQ1OJ44gHi9XkcPjNcoPV7S6LU0UcP6T5xGFuosDSdDEp/LZ7rw5LYRjTtzyMG+4omPLuiRFF0cQZKhZvq4rMf/j1KmEYkzEU/snvL53qquAHEZbrs9uyyRrqEef5p2tt+pYocLT7Lp/dG0+GEKIoZmW7S3fgsbU3oFIwkCSJge3z0e3ahb4/2w3o9F1sN+Db5SZhGPHp3XEWp4tHPlaWJT4YujDIksT0WA5VkZmdyLNZF46gSzNH/91JXHayRavr8Gy9TTxsXj68VRMJCEMHLE2WmRrLsdey6Qxcnq62yGU0pqs5dpo2+ayGKku0ei7FnM54OUu5YLAwVUj2KUEY0ew4xMR0+i6uF1ErmReKdQ6G4vp9mh2HVkfEThOLavhuy3rt59E1mYE9+vZ5EQ2zZhLnehnX2neJ9Z0+f/PNFmEEpi4nzz3L8fni2R4xQviZz4iYVU2Tcb2Q9Z0+fcvH80OKOZ2BLYaI8hmdOI5Z2+0fcX+ZGc9TLZkQg2mofPOykez399r2kQh1/9BZQFVkJInEZc8PI/7tXy9jOyGzk/nE2bHZAWJee61v7fVpd91k+FpRpCMN3nbPHVlT2333yBBHGMU0OsKpq1YyL0Xk2e07ScMKYLMxuPDnTEk5jv01fbzy9vahC1Pi+btfcE1JSbl66i3hrAxD4xJZSoY4On0v2esGcYTrh3T74vmoazLzE3mCIELTFDoDL4mVtpyA/89fPqfZc5gdy7Gx06PZFQm3hi4fGbiIohhZlnDcgJebXYIoIopC/vabHVw/RJYlPD9MhjgURb7w/jtjKCN7h4z+qk7n+SGPVlqJmC9rqhiaghuI1JGtxmDE2XdpuvjGZ4KB7bO81SWORc1KU2W6A498VidrqOwds39w/ZAX652k5jZw/BOHOPZ/p7BfV/DTIY5ryk7TTgY4QJzTr2qIw/VDnq61E2FSFIk6fN/yWNvpsdsc4LgBbhDhByGtnsPCRIFsRkeWhbP1YTxfvHZ/+D2EYUSjLRJBt/YGNLoOrhdSzOvoqkIYxmzvWckQR7VoJjUETZUpZLXk5/Dz36yxutMjimPuzpYxDQXTUJmfKGC7Yoi8UjDYaVric0hwa7o0snfpWR7PhsLds54F3jbH1WoOD3E4XsAXT/dwvIAHixUmq68Exq2eg+dHVArGkZ5DEEYMbF+I1KKYgSPq+62umw5xpKScgziOebzcEj0CoG/5fHL35BQw2w14stpK9g07zQGuH+F5QkzluP6JArWD9C2P//v//A3P1ttkDZU782WRYjosjdRbFl8+32NxmFqaz2osb3Xx/IC58TxxHPP50zrFnFh7F6YKTFazSJJEKW8wUc2y27IwDgieHPfVsEoUxaxt95BIfCzYbvT5V7+w8IOIe/OjaeenJbQdZqycoZjTCcKIRsdJBjhAiPg+vj2GoSt0+h62G5DLaMcOS3Qtj19+sYnjhtxfLPNw6VX97+C+KI6hM9xzgRiejA64CLf7o+tjOHxdiiJRLZoj+71n6+1keKDT9/js3tiNc0p9H9DU0Zrgfr9iv7cvSa8crF0/ZGWnS6PtUG/ZjFcy/P7HU8iyzMJkAccT+4uxUiZJ6T54/ThuyPJWh29eNgHhfr00XYQ45sWmg6HKbDcs+sO6Xd/2xXMeCUMTZoteEGF7Aa4XEoURcRxTLZqnPpfrLYtffrnF6naXW7NlqkWD1e0e1aLJeCWTXJd9y2Nlu0cuo7I0XTrx8x3EDyJebnZwvZDxSgZ3WEcX64uEKskEYUyz5yBLEo4X8nilxZ/+fnSp2o2U94+dpsVuy2K6lmWsLIS6G/UB7b5LGEYieWOnj6lpPFpp4voBfdtHVxWC0OXblw2majkkCX7vo2maHRsJMHSVOIa17S6tnstuyyIII6RYpDUpskgTXN3pgQRd28MNQjRFJmtoNIZJpBPVLJWiKRyihw7yi9NFynmDdblPFMVoqoyuKRSyOoWczsxYLqldvgv2n0myLGoFJ9UgDq5bQSDOA+8qTTQl5Sxs1gc4XkAQRpi6xspmh57tE4YRHy7VqJVfnfGrRZNWyaXZFSlqS9NFlre7MEwQtV2Pf/WLDVw/FAlRuooxrPk1Ow6OF5xYHzuoX9rXxe3jB1EysBDH8HKz+0ZDHFEU8Wy9QxBG3JrK89/9xfMkVe/DW9WRM/5+Tzt5LRHIEsJoIxbDKIPhXmNg+wQR6MMtaL1tJzUW1wvZ3BuIvcqQVtfhV19t4wUBHy4Jg+v97zM+8P2C0EKdxvRYjkrRII55bQLw+gHTrjgWQ7fnHeLYqPfZrItzSrPr8OGBAe2U7yaH75kguHl70q5lD3si4u0giHDdEO0cZs/vknrbxgvEWhIEActbnRs3xLHTsFBVCUlSCIKIRstm4TuqOU67Se8xeVNPhjgUWaLVs/n6xR5+EGPoCp/cqTFVzSQCyo9vi8m47nBSdH8DoWsKuiqPRJ9aw0bz4Q3XylaXvbZNEMX0Bi6TtSx3ZsusbPWI45ie5YnipK7St30UVUpcI3qWR37o4h9FsXhdskzdsCjldZpdmVziDObzcrMzUhg8+JpkWTqxQbSy1WWnZaEpMvcXKuQyp7u1FHMGqionD56Dk6WOJ4rC67t9HDegVjKZruXIZXTuzJUo5Q3+L//9FwyGkfP/w18848OFMvn8q88xVctRK2XYa1uoisz8ZIGxcoau5SFJUM4bRxwG9g+JxvDn/y4NzSwnGImv3Z+WTrk6XD8kDCMyhnom0cKHd8r8/HfruF6ILMPcRIFWz+XlRgcJUGWJRtfln3w4zW7LGjrVyNyfL6NpCmEYUczpTFVz9G0PXZfJmToLUwUkSeLXj7b57eM6rh8yWc0wO56n3rJw3ABFlhnYAYWsz+JkgTAS094TtSzNjoNpKLheyOdP6uQyGnEc8x9/s06lYFIuGNRKGaolg+froqi5MFVgpzngt0/qTJRFBGshq6FrMpYjBOxTNeHC9O//ZoUXm6KoZDkNZsdzlPIZdpoDDF1JGrS5jJqIMiTp9Yee8xJGMY4bYOjKtXcNSXlz/rOfLvHlszrNjks+q/Kf/+Ftwijii6c+rh9haDLVosGj5UYyjGS7IS83O3xy96jLEwhxhusF/ObbXVp9F0WGOIowdIXJqkjdsJwAPwiHB34V3w9RDJVW12GnOaA78PGDiL22jSxLlPMG1gXXadt95Zj2yy83yRgqWVPjF19uMl3LHpuUZeoq4+UMsiQl1//seJ6ZsbO7cnb6Ls/W24RRzOx4/txOmX4ghDOmoaLIEtsNK2k69S2PlxttvnrRSIouvSjiw9tVLNen0/fw/IBGz+XjO7Xh96YkgzPS0D1oP2UlCCNsJ+DFsDGz3RxALJ7967t9sqZ27mKuqsoUcjq94dBaNqNRKRrkslrS6H2w+EpkdtLeTYjgunh+yET15DSXs+CH0cjB/aLX2neBKIqx3QBdk/nVV5tsNSziOMYPIsbKJpqm0LUCHCckY6rYjnDmzhgqqiIxN55jcbpIFMOT1RadgYckSwxsD9sL8PyIMIpp9Vwqh66104SF4+UMG15IEEZoqkytJIaIFUXG0BQ0VebufJnN+gBFlni5+col79ffbHNntpwIxSznqHPvQV5udvhPn2+iKBJbewPuL5T56SczI6/PcnyaXYe9tk21KMSVuWOu1ccrzQODbc6JQss3IZ8VArh9sV85f7Hi5OE1KCVln/owiWO8/DaHOEQhLB3iSEl5e0zWckhSTM/yKWQ0Jg6InzOmSI8cOD4SwhEqiCLkWBJniPiVkO8g/91/eMzvnu4RhCGPl5v4YYQiy8iSNDL0G8cxzzc6NDsOhqYQRnEi/Hmx2cHzxbNfQWZ2PE8UCcORD29XKeXOt2fdaVpYjk85b/CjhxP86qttdE3hZ59M4wchni/2jwcbtWEU89n9ceI4pt1zE7c7EANvza5DEEZMVbNnFnQ8XWslwrIvnu2ha4r4OUqiZrp/Rmt27SQNJY5FIvA+p+1pcqb2ypFY4kKJwClXizA3eCU8PKtz+Xlw3IDxisnajsLA9ukNPDRF4vl6m72WjaLI9IfGS5oqs9eyiWO4PVOm3hLCWs+PkjrS1t6AJ6tNXmx0iBHnr6op9umGJvHbFy1kWYgrN3Y9aqUMURyTMeXk3FErmWQMFdcLKRcMNFUhCCP+w69X2awPyJkatusTRhE/+2Q+2ZM/XKrieiFhFL9ykI9hq9EfGeIY2KNnwLdZJ/aDiM09IQAr5w1yGe1YZ8rDv/Nq8ej69qsvt5Lkwq3GgH/2B7fIZfSRNN/NuszHd2oj6ZPq8LxkaApIYGgKkiSRy6RrQkrKeQijOBngAFGT3B9GPQ7bDZL1HaCQ1WkOzzr5rIbvHy8uOdxv+cvfbbCy3QMk6h2HMG6xMFlElmG93sN2An7+m3WqRZN/+MNZXqy3hYGeE1DvCHHrXssinzMoZHW+Xdnj7myVbEZlupalVjSYGcuNrlGHvqX9hEbPj9A1mZ2GnQjiPn+6x6f3xtnYFYZ3rzNV238G7Itj9/8XRDGK8mofVBiKsT5YrPF4pUkhq/OTDyeT+s5BfvXlZrLP/Ltvd5moZBNhXc7UqPNqD3pwX5TLqCTTKcOPPfg6v11uJnuuTtnj9uwrYfx+vxuEeN31Q7Jpn+Wto6nKq5qgIrE0VURRJFpdF0NX8HwxpADid/p4uU27LwYSepZHIafzyZ0xTEPl07vjR4azc5lX+2pZhr/+eju5Rn/+2w0eLlZo9Vy+ft6gb3vUSlk+ulWlkNPZ2OvjBaIXE4QRkiwSwC0nYGD7KLKEutJksiZMmITRlnpkTfmPv13HdkNcP+KbF3ssTBUJwognqy12WxZ358tEEfyrX7wUWgdJon3fZXG6SLvn4nqhcPrOaEfSVle3u4mx3Op2j8WpPN8ut5L0s7mJHLYT0uzY5DM6siQljv75jEYxpwsTO0mIOd8mURTR7DqYupqKN68Z6zs9/mKYNPeFBH/y4wWmajkyuoIfiOElLwjRVZFMRQw9SyRX3Zou0eo52K5P3/aQZZl//cuXKLLE8maXasnkhx9MEsfQaA2wXB8/iGl2Hfq2x/bQ8EhRZOJIrOu6JlMrmtTKGb54VsdyA9Z2enQGLvfnxXl7/5xgGiof367RHXhkTFWYmvZdxjMZFt/hAMd+wt7++abdd7k7Vz72Y/MZDXv47JJlicx3qB7geGJvlqZjXT8O7//CMMIZPp8gZn23TxhFZA2Nr19KBMNt1m7L5u99NsOXzxuYusKPH05ye6bEVDWLoavi8+kK7a7DWDnD//m/XaHZdZJ93Gf3xgCxZ81mtCN9yFbXod13yZkaP/hgXOh4bJ+xSpa7cyWer7dx/TBJANtHkkb7qQfP4cfx899usDE80//dtzs8XWthOQGSLPHNywaL00UcNzw2nc/xwmRfG4TCcDYY7kVkWUJmdPhi5HUeevvf/+0qy5tdImK29iz++d+7RavnIUsSHyxW+Plv1+n0hS7w4a3X9zPPahhTKZojPZ+xC/ScRuqhsUgNeZN9QBBGuF4o9BTp3v29oJDVhYFzx0ZV5Le+J70McrrGwXnoIIJs9uY9y/xgdD1q9V5v8Hrd0FWF7sDDcQNKBQNV++5qJ747O8jvILfnSmRNlZ2WxepWl52WEHOahkocx2w3Lf7BD+bo9H1xmCqZfLvc4O8e7UIME5UMP/xgkuXtLo9WWmiqzMOlKuu7feHyLMHSVJGJqihAfP2iwf/wF09pdhzafY+laREX/Pe/72Nowk1Y12QURaOY16kUTAbWq0aO6wc822jz6d0xoiim3rapFU38IOKbl00Gjo/tBonAOmu8WkCfrbeFw3UcUy6YjJVNKoWj7rs9y2OnKRYtP4hY2e7y4a3THaKzpsqf/GiexystdF3hewecfjZ2+yJJIxaRZMK5WOXhUi0pOh2MgQzDmL4bkD+gO1VVmX/8kwUaXQeJoROjJDEznsMPRFHI8yOqRTMRemYMlemxHFt7okj2Lg+xxbw+Uujdd0tJuRoaHZvnGx0Gto/jhtyaKbA0XTo2jnifmbEi/7t/9hFfPq8zVspyb6HEX3+9gwQU8wamoYrDWxSz0xD3RxBEfP60LiZNY9A1iWfrbXZaA/xAuE7ZXsCDhQrP1tq0ekK4ubzl0+65TNfE9RkEEaahUsqJhI/dpkXPcnFcn64lhCmmruKHIXGsJo6Bv3m8w2f3xoUzVTmLKstEccRe26HdD/GDkHrbxtRVlre6jJUzZE2N9d0+H9s+xZyOH0RU8gaFjEa9Y+H6EfmsyvJml3LBSATgcxMFVEUeHsjMCxcaPD+k0/cwDSVpfPhByDcvm7heiKrIfLBUIWtqdC2Pjd0e1WKGyer5pt9TrgdRDB/fHqfZcyhmxUBiMW9SK5t0ei7lQoZqMUOj7Yz8u5OGhvbTIVa2uzQ6NhlDxXYDfv1olyCKmRrL8qMPpgnCiJebYhhyoiqSp/72m20er7Ro911KOZ37CxUMXUkEWhd1gOn03URk5fkRkhSSNTXCMMYJIvRjzu0vNztJY29+ssD0WI4wjGj1XBRFOvbZ0em7wt2yKIYZl7e6ybNmY7dPrWieuvYdR9/yEpffjKHy8FY1cauLoojfPK5j6jIvt3pMVjKUCyaqLB8Y+IxRVRlTkSlkdX74QY6eJZw1FVmia3lMVDJUh6lZ3y43sWyfzb0B85MFwjAe2RccdIA9TLvn4gcR2YyKZQdkDOVIUeRPfjTPF8/2iOKYT++NI8sy9+bKaIqEJMmJ28eztfaxezcQjbf7CxcXugPoqvhZ7Re2U7eh0wkjEUG+0xhg6Cq7LRs/CAlC4TjjDV2bHDvA8kIcP0KRxR52ohpiOzH1lgVIzE7kKeZE4tWDxQqr2wOeb7SSYeC//Wabv/e92RPXnIWpIk9WWwRBxHhFPJOqRRPXE8OHLzeHDUYJbs+UGCsLh7z9e/fZejv5XIamjiR3vO46WN0Wa1jGULk9W+KDpepIqk8QRjxabhGEQrjgeAEf3qodSSvwg5DewKNn+UKYR3wpyT2mrvIPfzzHo2VxHvrs/vGDd2dhYPs8WmkShmKo/sNbtTdyzEx5v6kP05PO64h0HhaHQxxbjQF+EL62+ZGSknJxsqZKu+dhOwFhGPNgsYKhq2LY+YDRSXfgEkaxSMEAVEW4prl+SLVk8v0DCX2PV9tsNQaJGK5aNNBVGUWRyZoa37xs0Ot7zEzkeLzSpN5yyJgKpq5SyGpEUYyqSISxmBKRYpis5ijm9CT54jxsNwZJw3CnYRFEUWLGsrrTJ9zqDc1jZCQppt3zUBWZqZpYB/edrQ8aqwwcL6kHbjcsaqXMa81ZYNQhrDfwKOUNNFUmDCN2m04irur0PfFzl4VYamGyQKPrJImCJzE3kUeRpUurK6RcHeWCyR/9cJ7n623yWZ1P75zs6H5RchmNnKnzcKnGL7/coGsF/OtfrrAwmUdVJfKqRqMjE2mIe0+SaXYcMmYfU1f4i9+uM17Ooioyd+ZK/M3XWzQ6DvWWRT6n87NPpkV6DDL/8q+e83KzgyzD3bkyhq5gGgoTlSw7TZtmV5yvZVni/kJl5Ey407QS5zlJgqlqjj/58UKyJ+8OPJ6sinO0okhEcYw83GNryujeoZQ3kIdOuvD6OnEUxbR6DpIkJemh3YE3HDLRAZFOrWvysSLigzxZbdG3PDbqffwgYmmmyN258hG3zvsLFcIoYrdpMVXNc3fu6Hm42X1Vu/H9iJ7lk8voo38fRPQtn0rx1c9AkiQeLFVEGurQaTif1dIUjpSUc6IO62/7BkylvH5q4mY+o6EqclIDvb9YZaKaxQ9iSnmNIDoquNpr27zY7EAs6hf35suJGZYsgxQLw7oojnH9iE7fIxqmgNpuwNO1Np4fJQZVL9e7LMtdegOPKIacoaKpCo2Ww17XRVdlpms5vv9gnA9v1ZJan6mrzIzn2KwPkGWJP/hslq1GP1mrfvNkJ6mLOm5IvWVRHq6L243BiYOtURTzaGh4IUlwb76S1GmKWZ0/+sEcT9faZAyVD5aqvNgQ4vs/+uEc9+YrpwzMjNY0bSeA4bzFRDVLjKjDlgvGyLMga2rcn68IIbihJIl0IPoqB0Viza4zMsRRKRpJfTljqBdOPQvCiFbXRVPltIb5hhysCe6zv7eIophm16bRdthuDugMXPZajjCrUZWR2jhwpG53d67MZr1PGMVU8jqPlsXwaBTHNDsO2w0LSYpZ2enh+yE9K8DQZP5Xf/oBshTT7bkEkfjdFmQdQ5dAUnGcANsNeLwmaoy/+HyTmYkci1NlfvDBxIjRyr4Tdq1k0um79AYumqrym8e7aJqM5QZIkkg58PwQSYIvn++JWq4l0kDGyplkcPTgIMdh5+Kl6RJ35yp8/bJB4IcgSRSyOp/eH+ebFw0kSeLTu7Xk9T1YrDBwAlTlqFnTVRJFEf/ub1bFPSjB7380dST5OeXdsbbTS9It2n2Xv/1mmz/76RJTtSy3Zor4fkg+q4v+fijS4tt9F8sJ2Kj3cb2A7YbNbstGkiSKOZ2cqRGEMa4nTMoGtieu+SAiY2gUchqtrrjfdFWhb/uMlTMYmowkS5TyJivbXQZWQD4j+ocDO6CY08ma2sgaYhpq0usrZPXXDie+DVw/HBlQb3WdEz92Yaookn980VsxbpiL93k5WPOplUzunDDkkvL2iaKYr17ssdOw0DWZh0s1Xmx26A3T0SQJDFXB9mLyGY1Oz09qa72+x//1f/qarT0LVZFY3e7x8d0xbCdAliUWpgqs7/QJQrEvbvddMcwTi2SJ+wtlNFXczx8fStDr9F2eDpM769gsTBX485/dwnYDKgWDRyut5P3P1zt8/8E4m3sDZEl83W+Xmwzso3va49is95M/9y1fDFoHImEjoyt8dHsM2/ExdOVIT6RcMJL9iqmr3F+sJGvAWDmDJL/q6Y1XsrS6Lj3LSzR8B9neGxANp8w7fZc4ho9uv9In/mc/vcVexyaf0S51QPKTYa2r2bGZnchfaF0tF4xkAFWWpTMlG+7juAHfLjfxA2EY+PBWNU0ufo+IAaSj+/mbgBserQ3Ytk8ud7MGlQ/4IwAgSzdPcxBFQs+hqmL4WL6B19Nlka6O7zF3ZkuUcgbr9T61UobtpoUkS5iGjKEJJ6pizkhu4qlajr8cTumDmLLd3OsnhUE/iFjd6dLuiYJpf+Dx89+sMz2Wpdlx+cWXG+w0LTxfuIQ1OhYz4wXWdvt8cnecla0uURRTLZlMVEQDanY8x3bTom95w7jhiG7f42efTVMpGPzd413aPZeF8Ry35kt8/bwpHgLAV8/3+PxpnXLBYLthMTOWo9F1eLHZ4c5smWLO5oOl6sjPJD60Dh98u91z+PlvNujbHrdmSvzs0xm6A49W10GSYH6qgKbIqAc2cfv/PIrE9OiuZyO1IJ/RCUPR6P707hi/e7oHCLfrqdpR53BVlY8VcGuqwvfuTyQN5IPMTxaoFU1UVULX3t2tbGgKH92q0e67mLqaFjuvmI16nyCI2KwPiOOYrKmKIoIk4bgBsxP5kdheP4jYbgzYaQ6YqGTJZXUKOYN//HuLBKFoNiLBnbkSW/W+KP4XRPzpxlB0rEgSX79sEkTCzTOSIx6vtNjas/jdk10ev2ziRTHlnAES7LYsfvLxFJYjnDW8QDgKbuwNmKpmGSsb9KwASZbJmSpj5QwZQ6XdFw41lYJB1lB5tt4WTqHrXfIZlb22zVbDGjqGQs/y2WkOsN0A1w8xNJVq0WC7MeDOsEnreCGqKpMzdExdZaM+GDZ+XhVeTkvueVM8P+SrF41EYHJ7Vghd99piOAVEc2CnaVEtmvzrXy6Lj5XgZ5/MjDQlUm4W67siKni/ML+202N+qsD8RJH5YWLdwPb5/v1xLCeg1XeZGcudWOje3BsQx6CqCkEYE0v7kbwST1bbrO30ebhQw/UCHC8gjGLC0MR2/MQVM2eqrGx3KeZ0xsomd2YrmIbC2CEBg+MFPF1t43gBY+UMt2aOvw57lseztTbdgYftBlSLJjPjObp9jyiOUWWZx8tNIQbLacMkHo/dlk2jIwYVZUU8yyarWb5ZbibuNNNjuZECwuZen/Wd/vDPCh/frhEfeGgPHJ/V7R6VYYT5QfwgZHWnh4TE/GRhRCC91RjQ6jq4fkg+o9HsOixMFQgjMdgpSaBrKrWSQb3tUC6YVEsm4+Usk9Vc0kisFAweLFbIZ8WA2sZen7/5ahvbDehbHuOVjEhACMXQRxjFdAeicbn/fXQtj+frHTbrfe7NjyaDre/22KwPkjV8ZiKPIkncmSuNCFD8IEpc+Hw/BEOlUjDJmioyEoahJgkGAMSwXu+PCHYuE2noHLLXEXunw9dayijruz1WhkJNxwuTfako6MUMbJ9O32Vo9EIYRUQySASi4ZHV8YIYSZZod10+uzvGXteh0bGBmGpRXLsgmg7tvnviEIftBNSKJsWcjqErrGx30VWR+mO5QVKgIyZpRB7kg8UKv/pauHiNlU3+8NMZrOHw9b7Y6qvne6xsdSnkdH7y0VRSqCsXTNZ2XhVUKwWTIIx4utqmb3toqoLnC0ecYk4ILo+7hhVZZqdpCTc6YKySubTC0Vg5yx9+7+L3zXZjkJytXC+k0bFTQVdKQpLEUXl7a2e1aCbDd+u7/RP3ACkpKZfHo5UWOVPD0ISz/vPNLv/0Z7cAIUBe2+nheEGS8CZLErIEYST2CN4w0andc5ioimdIFEYj1fp8VqeYNZBlkSzx//hX3whnxGGSlxcIIXataFIeCidURWJ2PEez65HLCPOX/eZhvWUzM54/kxDB80N2mhaSBJ2ey9892qE78KgUDFHHGu4P13Z7TA1fv+OGwlk7jgmjaMSVTVMVPrpdo9UV6SHP1tu8WO/gR8Ls5GTvu1GmhkYTABO1LIEvfo6qIlPIvGrOqIrE336zTaNtM1nLcnu2hO2GqIrEvVMECZJ0eXWFt4XnhzxZbYlmedHkzmzpRjbdzsNFkh3fBFWR+eh2jb/4zboYdA7cJCGxUjCQJQnb8Wl0XTRNxg8jClmd7aGAt931mKhm+GCxhr4j07NE0uZ+DTCf0ckYGjlDZeB6hFFEEMLzjQ5/+nuLSX2w03dRh0NdURSztdenmHtVM4+imDtzJbwgZGAHLM0UMXSFX3+7k9SjgzCi1XMIw1hE2ktigOPWbHFoCjPADyM8TySKekHEw6XqyLnhxUaHL57V8fyQe/MVHixW+NtvdujbPpW8wdRYjlxGS85IigxIr4yDFqYKx+6d92saXzyro2tKUn8Lg5jN+oBaKYMfhIRhnIjDHi7VRhK+DyLqrRqbQ/Mk1w15udmmWjBe1WHFSzvWWMLU1XRPlZJyidxfrNBoC9Hw6+pMuqbw4e0q7Z6LoSlkDFUYK/mBGIb1IkxdodP36PRdchktMWkDYagysH0+vlNjbafH8nYXN4gwdY1vXzbQVIUwEqZVAydIDDg0TRZpHpGor1hugO36BGHMQJMxdJV6W6SfF3I6cQyL00W2GgPuHRBBzU0UmBnLIw2FMMWcztJ0CU2VGbg+37xo0Ld9giBia2/AVC1HztQYHEioiKKYZ+vt5PsbL2eSxNI4FjXXgz286bE802Ovnomf3Rs/th+5/7ldP0RXZT5YqCZu7pWCcWR9nqxmTzStKheMY/uImiqPDOEcTjZbmi5SyOoEYcRYOXPqQM9h9tPdchmNsXKGMIr59mUzEejNjOeOOD6/7/ziyw22dgeYusJELXdqX+BNkGWJB4tV1sweqipTtgwaHZe+7TNZ0U/dU4PYPy1MFWn1HF5sdAnjmE5P7KEypugbOq5PHAkheT6jYXshj1dbaKqCLEvYlnDaFqljMt2Bh6LKuJ5INF/e6tLquWiKTK2UYaqWHelN3Fuo8GSlhecLc8q9jossOwzskFJehxgabWHGA+LectwAYrEvgVf/Hdg+HGgBTVaz9CyPOBbDSOW8kSQfq0NRqB9EfHS7xtJwOOvgfkqSRCLH22anab1KeYzh6xfNdIjjHdHpu7R7r9YzgHLRgA2RsNm3fcIw5L8ZeBSyOo4XCLd5RWK3ZfFkrYPthSiSWI+DUJhH6LowTwijiL22zW5kDc0m4OsXe+QzYsA6imNcN2Cz3keWhau6kRFGkbdnSrT7Lq2uw2Q1y9J0gYG1IfbMEkyWM5i6gh+Ke2k/JUA9wZk9jOLhfahcKNE6jmNebgrDPNNQhfHda+obmqqMGEqcZtSgyNJ37hkCsFkfJH9udBxmx4M3Nt67CaxsddmsiwTKu/MV/CBke2iKOlXLXUuTrkbH5uvnDRwvRJEldloWvh8Rx0LH0+6JPqIfRURxzOJUga9fNohjqBV1nq61k+SJv/p8IxnQiaKYL581aPVsHC8kZ4qkjSgUpmqyITNWEj3FGJLn2j6Hkzo7fZfdlk237zI3WWB1pzfyPlmSKOf1ZI3YP4vHMWztDU7VpRWyOuu7feI4xtRlyjmTetsBSaJazIiEqxOGEeYnC2RNFT8QtUdJgl9/K3qkSzPFkfVIkSUe3qqeuH8eK5l8/nyPOBZDneWCgeMFyJKErol15uA+utl16A1EctlFk2M/uSTTkolKFkMTg7iloUHwWdltWckAqx9E1Fv2tRjUS7kYPcujb/tkhn3+zXr/SpOOr4LeMYkVjhfcuCEOTZdwvVcdkuP0yNcd01CZrObo2R61gsmZGz7vIe/fLiolQZIkxisZxkoZthsD5iby9C2PfEZnvJzlBw8mmKzm6Ns+qiKRNcVgx76DiheIqNAgjFAVmWbXYbshBIUz4zm2GhaaKvPNclNEG/Y8Bk6AIgv3PhFBHDNdy/FgscLM+CvX7TCKmRnLkTU1/tkf3OJvvtmm2XHoDjz6ls/j5TYvtzrsNIRrvxeELM6UKOTEZPD23gDLDmj2HBam8oSRcMzp2z6aJjZx280BpYKeOJYBFHM6tZJJo+OgKGJid59ff7ubOPo8WWmhabIQjEkiLrJcNKgWTHZaFkvTRcp54eS/vtNjbbeHoSsUcsKRa69tUyma7HVs/jd/9pAffNDA9UM+uzdxrt/lcRu+/fQRSRJC8cOuYm8T01CZeg8PZdcRVRFi4H0RsCJLPF3rJH+3PxxQzIlDy6OVJvWmxebeAENXWJwqsr7T5+58mT/9/SVerLeoFEz6tk+r7+KHEd+83EsKIk9WWkzVsmiKjC+Jqccojunb/nCwS7jdBGFEEISU8yZbe30KOZ1/8Q/u8P/6d0/ImCqqItPuu3xyZ4ztpkUcO5i6Qi6r0+6JAaBb00WmqjnGyiayLLPbshgrZVAViZdbXSw7QFEk9jo2xbxGGIri0OxEnmZXTPnbrpKIRf/FH93h3/xymdXtHtPjOSRJOG7absDKZpf78+VEsHJePD9MJuuzpkZ34CUFHYC9js1YOYOijN7DqiKzvtt/9bExLG910iGOG0w5b4yMOpfyOqWckaTbIIlnkK6r/PGP5gFRgGx2HRRZOuIoqQ6vmfFShsXpIpIknF72C/TCmcyn3nYSIXSz6xAPkyKCIMIPIpShCEcZNv6OK2is7fSShlW9ZR9xSPODiO7A5fm6cGLLGCqNjkUYhdxfqDA/kWenZdG3fDp9j6etNqW8gR+EvNjoUCuZ/O5JPXHv6Q88PrxdSwY4QBSUDh7aDyaWuF5I3/ZZnCoOk4g8LMenPXQLiuJ4pCn4H3+7kQi05ifz/IMfzCfva/XcJJGr1XUYr2QxdZUHi1VKeYPdpmhEjJWy3Jou8aMPp5isZFFVmR98MEG1YOCHEcWcxkZ9wFg5olbKsLNnJQMelhOwtTdgcihKU2SZuYk8GUMMrf3o4QR9K2B5q4MiS3h+xPJWd8R5o9ER3/9+CpnrBWQNjUbHSZ73cRzzdK3FTtOGOCYIQn704TSyAiurYqjo+/cnxB7owLWpXXFUqaIcP5iacpR9d9p97s2VaPVdVra7BFGMZfvD4ucrNEXEBLtuSN2zGa9mCYIIPaPQ6Dk8Wm4OhzgkTEM0IhwvgB68WO8QxzEzY3niWLhyEYsBj6erLdGI1xQYCkRVVYgQpg79Pg83VVw/pFI0+Uc/nicIYiZqOXRVpnhgXdus9/n8aZ04Fvehqsj87NMZAD65I4a0ml2H2bECi9NF1nZ6yb7cdn1sJyQ/jDE9qTAbRhGVoinSN2ThWncZSRyXiXqooH8dC/wp7wZ3mOQGMH6BaOs3RZIkFiaFi9XKdi8VHKakvAVMTUZV5eSZkDngPua4Ad2BJ8RAkhjK3ne+l5B4sdnB9yOaHZuPb9WSIY4Pb9dwvBDfDynkNBZnioQhGJrM1y+a2EMBUaPjkDMVTENHlsH2Qj6bKhBGcTIc/MGieD37aZsghMoH61LJPgIo5XQ26gP6lk8hJ/ar+wLq3z3Z4dl6R6TttiwqBSPZy5YP7BMcLyAmTs4ge217RGBvaErS0IxjcY4iFgmiZ9VxzE8WqBZNojjG0BR+/pt1UXMom/z+RzPsdYTjaLPr8Gzo+rdfB80aGjGw2RiM7G9uOuu7/eQM0+w4I7+flMtD18RgdDi0p4uH1+7seI7p8SxIUMiK8/PchIahyry0PCzbx/EC2j2HjKFSK5vUSubQkQyqRfG70lSZ9sDFcSOypkYQRhQOCLoADF39/7P3J0GSbel9J/a78/XZPeYp58w3D/VqeKhCFYYugAJBtUQ2WoJJvdBCZjLTRsYFN4TBjGY0mszILTcSJTPKtGR3E22kmmgQBFBAoQpV9erNL1/OQ8yDz+53ns7R4tzwzMh8Y9UbKqviv8mIyAgPD/d7z/nO9/2HWY8BHq/nV+ZrjL2Ely8vUnFNzq82uX5/CJRJGaURwjRIkVKi6zrfeG55VrMcJz9GSc5+3+f8apOaazH2ktm9O/GTMgkowtBV6lBvHM7O4H6YYpoacfpgWDoJVOplo2pTSMnVuwNG04S5lnvizHnc06g6FmM/JheyJERqmIZ+wmV/oV2Z9d7C8rzdrNknnDf3ej6tus3KXJV37/RYW6hzd3fKNMj43VfPzc7xi53Kh4rkT3GKU3x2MHTtU5mRuLbJyvyDe/PFywv8zZs7ZbK5x52dMZc3WlRcCz/M8CM1Mw0itebomoZRivAaVYt7+2P8sCDOM8gLFtoVpFS101yrwk7XV0Ym7QqNqk2UZPhJjpSqHZcJSRY9SPE1DY3ANrA/gLRaCDlLQFZ9vzFhrJyRX7y0wMpchXfvDqg5Jjtdn6NBwMX1Nq3Gg7WzN45mRhx+mYT+MD6MKPvoa/4o8kJwvTTkOU4aX5q7QJjkLHeqaLqqo0xDp/kzEl+M8nH3+0FJiD1JQNE07TFTkU+C40SpYwgpZ6nXxxhM4l8pAu7fvLnDj68e4oUpWS749stryDKN5uNStD4pjgnS9arNq88tU3VMnrs4R9W16Y/DWZ3wYQTKe3sTlZKXC3qjkCDKWJmvEUmVqOHYFpap4dgGVddU6TeFpF5TiT1RUqBpGpqmqXtP18jR0HWN0TRWBkyGoD8Oef3aIbqukaQFG8sNXn1uhTPLDf7mzR3ipJglhFdccyYemmu5PH9xgYO+j2MpE6pcKCGoOnepPmarrty8wzijXrXpNF1evLSgTKaq9ux+a9UdhuVMwHWUCO2TJA5+UbAfIbw/+vkpvhhMg5Sb2yOQ4EcZZ5brXN5o8+z5eaZ+yvv3+mgaTIOMaTDmlaeXOLtY52gU0azaeFFOu+HQyCW2rXM8OFLEaI1qxcKxdPwgYxqp5CnhS6SQ6NrxnEIRjy3LQEOjEIIoyXEtkzDOObOkzBuO1+tfe3EVKZRpVcWxZsLy77+1q4jUhsbTZzuztSDJCnU2MHQ296flzELn2QvzHyu88KOMJM1nRlDHGHkJh4NgVv/vHHlc/hhBmaErw7LjPemzNAF4eDbTLtMIn0QYhkapZVN9I+PJ/Ds+Cns9n799ew9QZglFAWlRzObbEz/hhc8x3fNnRZjkHA1DkjItquqa1Cv2TBQ1mMQESUZRADIliDKWOhWEACkLikKQ5xINZqmds8eOUyWCRokqWjWbc2sNskzQali8efNwRije7/n8o9+6PPvZZs0hL6aEcY5jG+x2PQ765czeTzD1k32LN0vDZ4Dl+Sqt2oOe3MddbxtLdYaTmFwI1pYaRGlBu+GqevITmGgd98eEkOSF5KmzSrhYFBIh5Akx8fG6VXWtx3oEZ1eb+HGu+kBLNbYPprx7t4+u6fzGK+snBByjh3qSR8OQK2fadH5BiPGtuvOx6agfhEdnop/kLHKKX3w8Ott+9H1+EhBmxeNflOLxr/2CQ38ki8MwnsAaXUpu7oxI04JBNeIffOfCl/2MvjScdpl/BfDqCyv84O09LFOnVbNxHJPzK02W52rouoZrG8pFuudzca3F7d0xXpDQqjul6CKm6pjc25vQqFr0JzE7XY8oztQgdhxTq5i0mzZBnGEaOpahUa/YCFlwa2dEfxLzW6+s0248cPlLc8E0TGlWldAiywVpLjB0jThRxWK9amEYGmGcz+Le4rQgzdWBUEpJnBSsL9ZJsoJGzabTcBh5McNpTMU26Y0inr8wP3Pyu7TR5tyqIqMfF1d5oRz4lHtAxtBPsbaUK4djG/hhiuuYHKQBcVKQJDmDaUKW5fQnEbmQBHFGq2ZxNAg4GoRsH3n8vVfPAfDMhzh7fRT8KCVNlXtPnOYzl1RQQ6bjZo6UsHvknw5anxBEaUEQpXTq9s+0gZ5fbXLY94mTjJX5Oral3J+O3bu9MGUwiWnW1P0bxfksou/YZeag7/OT9w84HIZc3mizOq+ECK5tMg1S9vsee72APFfuG69cWeDFywsUAvYtFQ9sGTq9sXLhqDgmjmMwHMe0apKb22NGXsL/6R88x1zbJctEGaWYce9ggmsZXFhr0Ki57PY8slSwNFfBMg0WOwZCSizTYFmrImXpmDkIME2NlbkqRSFU/GpVDVqqjlG6ZuXUqzY7Rx6moSKwL2+0mWu47PX8Um2vXocozXn7Vo/f+Mo6RimMyQvxqSJOk6zg/bsD8kK5FFxYa1F1Tv788UFtsV2hOwyVCrnlsrZQe2yA0vgMIxJP8cXj3GqTo2HI3b0xa4s1niv3nafPdfCjjEbVPjHAEkJys4yyh8eTKJbnKrx5o4sfZTx/cY4rZzr8+OoBvXFUDiMsmnWHlfnqLJlnoV3Bsky+/dIaP71+hBemNOsOI0+p4VcW6h9IfhZCkhWCLC9wbWNG0vj+23v4UcbES9B1FaH6wuUFHNtk5CXMNStM/IS6Y5DnBVsHHnkhOBwG2JaOX7qEZlmBhkaWCYyaTpoLHEtH17UZif1R14aHB2maBo5t4NomX6077PX8mUgD1Lo333T5/tu77PcC7u1NOLvaxNQ1dkqx1PHhsV6xqbomcaocRrcOpkyDhHMrTdYW6zx/cZ6b2yPqFYvf/OrGiUjQi2stmlWboRfzxvVDbu9MMA2Nrz2zjKarQaKUasiaZAXqwCQZ+ymrCzVeuDg/a8ZqaGwdeux2fWxT56tPLz729wdhhhACTdOwyv3i0ebP1buDmXP74dDl5StLiEKlK6FphHGGbRlcWG2x1/MwDJ2LpwTdXxicWW4QxCnbhx4Vx+Lrzy3y9s0ejm1CmpNlgkfbBVkh0HToTSJqjs5oomGbOtXI5PrmgPE0plmzWerUaNVtfuPldd681WWxXcEylYDQMnRubo3oTyIcyyDNhRJMSIjijKyQNGu2csMuJHNNh3bdJkzUoP7CWnP2fKIk59r9AUUh0TR4+twc9gc0a/woO5GA93AUua7rfOWpk0Lnh5N3DF3n4npt5krzYQR3Q9epVazZXu46xi/cAGR9sU6Sqij2TtN94pxJTvH5oV+u5ZWyrv0icW61yfXNIduH0y/0957iFL+q+I2XN+iNY44GAcvzNb7z0hoTP0LDIMsLbmwN8KOcVs2aiTp0TaNWFUgNivL8+f79AT9+7wDXNfnWCyukucQLEs6uNJgGKvGt6hrkhTJYOe4L6LpGnhdYlk6zZqm6A1Vzh1HGnb0xnYbLN55Z4mAQIoRkY7lOEGVMg5R6xWIwjWc9KSHFLOF3OI0J42w21BtOE0CWokqdWtViY7mOqeu06jZv3+oxCVJWF6rEyYNUso8iRVdck0sbLYSUKin0EVFsXgiEkNiWwTRI6I0imnXVdzxeX2/vjOiNIqSE/jhhf+DPHPkPBj5Rkpf9Scpzj9qvgyjjqTMdskJgm/ovXJ3xafHoa1c88vkpPjs8f2Ge9+8NVJJmoohF1+4PeftWv0yDNLh0ps3Yi9k9CpiGCXleUMGi4lgkqeCwH1BxTM4u17m41mSn6/PT64fYpsHFtSZSKuKvoetc2mhzfrVJvSQTC6Huz6JQorC1hQckgSjJ6Y8jlueUI6RtGYSPuGMutCvs9wNMQydMMoaTiPfv9jm32mR1ocZ7d/tESa56lIUiNhu2fuKaSrOCvZ7PcBqXphQ5i3Oqrk9z1a80TQPHNhhNE0xDpRBNAkUuzcp72wvTsof5wMTl+FpeXahRrSjCY8U2cB2LC2uqzjmeZ/bHESvzVZK04PbuGKQaNr9wcX5GRvTDDEPXmW9XqFXs2fygP1YClLMrD85DnwTHPZdfhnXjFKd4EmGZemk+d+xwX+BFGRXXIildcN+53WUaKEHqja0hYZyzulDj7GqTw2GIZRbgKfLpsTHcjc0hb9w4pF6xWe7UeOFyg06zgpCCJB2ClCXpS4lzhVB7bZyp1PK1pfoJ0UCc5NzeGTENUpVQXs5eW3WHWsWiVrF4+twc7ZpHnAo2FmskmeDSRgvLMvhPP7iHF2U0KxbtpsvET0CD+ZbLxpLD0TBUJl+rH72GpWnBtJxfSTS6pRmOhBlhMS9UEsiljTYd1Dp3fXM46/WsL3104lV3GHBnd0Kn7vLsxbkT/1d1rY8l1n5a+KVJyIPPM9p150Rv+pdNlCeE4O/ePWC359Os2fz2V9epug/63HvH7umSsiaOWJmrPVYffloc98X3uj4jL1bziZrNynyNS+stDENn82DCD97ZBwm2bfD3v3V+1oMvCmVMNfISrt8fEsc5N3dG6LoSV3VH4eyeXpqrUXUMljpVmnWLW9tDNF2n5lp0Gg4TLyEtVPpOvVIlyQWOLUizHC8UFFKiCY04LdjtThn9OKbIJSsLNX7/WxeYb1XIcwkovkMY51xYbaJpGralc+VMh0mZtn57Z8S1zSEVx+Sly/NcXG+i6zqubRDFGbe3h2iajqbBU2c7syTk3ihi7KuUGE3TqLoqmUNIycEgYKlT/VgDGHlsxmPoP1dSwcdhvlXh5acWubU1xLFNvvnCyuf2u07x4fAj1cM/HAZMfVUXCyF5+twcL11e5H/8q1v0Jwl9FHdn6MUUsiROi4KDQ584EyzNVXFtg/44Qki1Ry20HNWLqLucWW5w4/6Q/jQmijI6LRfT0IjiFMMwSPKCRVfNuqWEetXh0noLP85YmqvSaTgMJhGWafDCpXVsy2DiPzCKmwYp0yBlrlmhKCT7/YCnztonZg2DSTQzUEwzQXcYPubePpxE/PC9A4JIreuNmk2WF7RqjhLSCzU3HU8jbmwOVb2vffI1//PYk0CJ1I6N3DpNhytPaKrNpY029/cniEL1jR4Wxv+y4LgOOsbh0KfiPOjdh3H+oQkMXyYsU8exDYIkx7aUkeTdnTHTMKVetXEtnYptIaRUKWhCsDKnarcky9A1ZTKoa3B+rcFB3+f27phOw+GrzyxTFFPitKDqmnQaFpsHJmlesDJfZefImxmG+KU5xbEZpalrZHlObxyy0HQJk5zeOCLPVdLdt15cIUoK0qzg7Eqdn1w9mv1NvVHEcxfm6T5U0/bHEb1xyGK7OktaO+b7FELyXGmeWBSCyxsdhpMIw9R56kwHL1ApIM2azWLnccF4UQhyIbEMnbyQsz6JbRm8fbPLrd0xFdvk688tczgIZjPSp0pRWl72AGoVixcvLyj+gIB//9d3ZmZeh8OA/9sfvjL7ndNHalYvTH9hRBw/K1bmaoRxPksXOTWB/OVA1bVYmqtye3tExTU59wSmq9Q/oBZ4EkXKuv7g/KZxkl/xpODG9og8VftplOTc3BzN0qV/1fBEdyU2Nzf5p//0nzIajWg0GvzLf/kvuXz58onv2d3d5Y/+6I+4du0a586d40/+5E++pGf7AGGcsdfz0VBOIp91rFwQqcfXdY0zyw2aVZt/8OsX2DnyTpAee+OIiZ+w2/U56Hu060ok8NTZDoauzYqHdt0lzXKqrkkh1GClVbPpDiN6oxBRqsXPLddZaFWoVU2OBhFRkjGaxtimgWUY/OT9Q37vm+cBOOj7/M1be+S5KGPhVTEz8WMc22BjucHQS5UQwzFZnqty5VyHOM3xw5SjQYBr6/SnxypiwT/8jYt0Wi67XZ/b2yM2FutomkacKAfv48FOUSiimm0qgsxgEnFvb0KS57x3u0eU5rQbLu6axrV7Y4wyvrdSsdBRTuZv3eqyeeCp2DkkL1xcIK0I0lwVupZlgFSHsN/4yvqnfg9fv37I917fIYiVeOObL6xyNAx54eI8rmOiPzLw0T9GaTyaxnRHIY5tcmapTi4kO0ceQkjWF+u/UG4ev8zYOZry7//yDknp2PTf/f1nqdifrhB462aXN270KIQgLyTffnkNw9C4sTliMA4Z+ymvOYeYhsaZ5Sa1ijqAVYMUIVTh8bdv77F5MFHNySOf/+13LtAbR+wcetzdHeOFKWleoOsaFcdiGmY4tsXzF+dn18rmwYQfv3fA/f0JtmXg+QWarqmDqgETP0XT4JvPr/KjqwcIIWnXXN693SfLinKtaTMJlBtUXhSYps6Z5SYvXJynXrUZTWNubY846AesLdQYThOSTPDU2Q6bB1NcyyTScm7tjLlypoOuqyjiLBfc3RvzylNLpJmgVrGoV2zmWm4ptlIDWE3XGHoxSVKw0/UwdJ1m3eapM51PFMU9msbkhSBKMvZ6Srz19PkOF9aajLxErWXlIMaPMsJErS1CKCLIxnKDbzy7wtbRhHbD5ZWHCKxpVjCcRKBrzDcrp07dTwDGfsKd3RHDaaIcJCyVurC++MFDK7WfPSBG9MYqiSLNBfs9j/fu9CmEcgXb6wW8eGmBv/+tC/zgnT2iOOerzyxRr9o8fXaudM6H+ZZDGGUsdir8wW9f5s3rR/zF6zsMpyqt49gR91HYlsFPrh6Q5YLluSpffWqZv3pjBy9I6Y1Dbm+PWZ6voWvw3h1F1OgOIg76AcNJxDTIMAxFxHrp8iIV25wJqUbTWBExHHU/NGs2rbpyuXzqbIfDQYCmKXLGza0hC+0K862KiiM1NLJcsFSmZYAinXWaLgeDYEbCaNZs3r8/mIlZkiynNwpL0Zfkzu6YdsNhZb7GXNNhY6lBlGS8d6fP0TBg5Ckyy+pCjVrF4uJaS60Bj5xx9NL5b+doytEwIssFg0nMmzd6ZfKZy8X1FiM/RZMaNzaH7Bz5dBouB/2A86vNmVgryQq6w1CJ7QrB9c0RS3M1FtsVOk0XXdN463aXPJesLVZZaLtUHPPEtVQUkrR0aT52Ii6EKJ2S1Zpx/O9ip8LiJ3AWOcUXi4N+QMW2uLCqhphv3ujTH0dKLGlpZBmYOhyHNmmo9/Q49tgHkjxESo28EHiREkH3xhFRUrA8V+FP/uY2u12ftYU6335pFS/KuLc34afXj+hPIto1B12HxU4VP0zZOphSCMnqQh2kZPtwyl/9dFutN+c7/MFvXznxN4xKMhiooe9gEn2g4+LGUp3371kEUYahax+bPLU8X2M0TUiyAtcxWF9qfOxeqJfuWHs9H0173LHxFwGmoc8ce05xiofRG6mB0EK7+oWT+86XJKT7+6cijlOc4ouAbRv8H/7e07PP//OPN/nptUM0TZHI/DBDSBhOEvwoIxdi5qe0MlcnzQtMQ+NHV/dJc4lRDlb/z/+b5wG4vT3k//En75bOs2Cbanib5wXNuq2MJWKVivXyZZvbOyOiJOP5i/N0S8H42IvpTyJevKzcBKdByo2tYUnyUiTqY+c0P8qYb7kYuo5paGSFYL/cixfaLmM/wdDBNJVz5dqC2p8P+uoc0K47xEnB2eUGkyDFMvXHiBkP48xSgzu7YzQhmWu5J5x7D/o+P3hnjzyXXFxrsd31SNIC09D59strs8f1wmwmapFSMpjE/PDtPdCgWlHmFnkh0DR5wuUvinPevt0jz1Wf4ZlznZlhDKh+b5IVNKr2E+Est7ZYYxqqNNF61To1h/mcUAiJF6V8++U1gjjj/XsDwrggzWNGXkzNNWnUHN6/N8A2DbJcOV6GiSBOUtB1/EjdGxXH5GCgkm+2DqfESY5tm2iaIv+2ajaGoZOm6pw4nKi0aNsySNKCG5tDKq4yanrmXAdd1xl5MVGs+hNrSzW+8ewKVddisVOhN4rQNLiw3mKu5bLfC7i/P8EwlOt1fxwxnESz5J6iEFRcE8tUpg0n63GNdsOhN44IIuUqH0TKpGjsJzRrNi/IeY4GISMvVmYGukZ/EjOcRFRdi6889cD84OH+xkK7ysEgwDZUAvFTZ0/29UxDJ3voUGUYOr2xPzvz57kyn1kqiRvNms00SHEt5ex9PMT9Wc7UcZpzY3NImqnX5tnzc0/E+nCKU/wiIE5zojinVrGwLWP2eb1qfWqS4PJcBS9Q885WQ7lz39walnNDm3t7E6oVm7Gf4AUptqWTlMZq60sNJn7M0TBCyJR7uxN0TbDfV4ZvYZQrMwkJv/7iGlc2mvz1G7vsD0LiOGOvH5LnOUGs0jk6DZeVuRrPnHsgXtg6mLJ9OOXm9pjtwwljL0ECnVJcV3VN/DCjKCQ3toYcDSMc2+Af/eYl5lsVvvfGDqPSpbg3jjgahVimgWnoBHHGpY02ax/Qn5ZS8s7tHt1RyHKnxlzL4b//i1uEcc5Sp8o3nl2a9aTyQn0Ql6I9L0zZPJiwMl8jL+QJs47eKDzRw4zTnN2ujxCSimvwP33vLlGSo+sakyDmmy+ufar389OiUbNPpBQ3aza2ZXDlTJujoRIF/LKlcNzbm7B5oM74w0nMmzd7fOflB7PqM8sNdo48Kq5JEaYsz1Vp1uyfK4VDCMmt7RG7XY/uKGJjsU6jarPQrsxSP+M05907fSUs1TXStGDn0OP5i/OMPOU+vXU4ZeKn7HQ9gjBl4qfohkbNsYhTJcBoNxwsQ8MylInR9pHHcBKx1Kni2CaGreM6JgsVizgtqDgGlqHhmErsqetw2FdmGralc3tnQhBl6IbGQqvCN55bwbVN6lWL3a4HEi6sNpUhZaHqhmv3B7MEnjRT90cY5+x0A549P8dBP+Cd2z2mQQpInj0/R3+izlnnVppUHJPdI4/7B1PyQrA6X2MaJBi6xkK7StW1GE5iXrg0/4F9otE05mgYst8LZvXK0+c6n+u8/8VLC7z4C+g4/6uEZlWtZ9MgLRMnbMZeQn8cMfUj0kxglvPvLBcEUcbIi1lsufSnOV6cIQu4vzchmquQ5JLxNGa+7fLshSWW56romsb24ZQgybB0nQLBaJrgWAaWaVIIQVEIdo4CvDDj+QvzXC5FWlGcs3M0JUlr1KtKfGjoGkUhmAYpEz8hTgt64xApJQf9gNWF2qx2f3jWoGka09LZHh5Pido6mPKXr2/TH0e06w73dsekuaDiqMScly8v0G64/OT9A96/16c3imlULV66vEgQZ9zcGlJ1LdYX65+IE/BZQQg5E3CovzkhL8QTeUaol0lhv8xYma/y/v3BrIZYX6wTp8VMpFCrWL9wAg6AqmOS5wVRnJFnOlEtV+aDUgl255oOzVwJHpo1m197fpWtQ7XfLbeVUFiVThp7fZ+5fZVINZwmHPR9zq81Z2fcmmsipao5zyw2uL09mr0+ugajScybN7tl2pfNf/j+ffwowzF1Xn5qcWaWWgjFBzg2Tcjygrdu9mZ7bK1ineBc7PcC/oe/vEmcKoPK3//18/THMXGqZqP1qj2r/2tVi+cuznM0DDENnU7D5s9f2yaKcwxd45svrp5IKJ/4Ce/d7ZNmgo3FOqNpzBs3lKDk6XMd4rQgyQrCOONv3txlvuWqM4FjUHNN4kzMem3ri3U2D6ZIqaGbkv44Uq+vptax4TSmNwpndccD2YoS4D3p0HXtcxHDneLLRZYXbO5P6I0jbEvnYBB+7Nz/Fw3FY5bLkOb5B3znLzaK4sFBVwK1ypMnA+iPQsYlnzUycmVI8SuKJ+/dewj/7J/9M/7wD/+QP/iDP+DP/uzP+OM//mP+3b/7dye+p16v84//8T/G933+9b/+11/SM30A5bw9mg0Ogjjj5SuLH/NTnxyFUE284wNOnOSzCLeiTIuIy+ZYmhXc359QCMmdnTEVx+TcapOJn/D8xXm8MMUPU0ZewlLbZTCJaFQdgiBjMo3Y7YVUHBPLUIkVrbqD1DQ8P8GLUsxEiR8OBiFriw3y/IGX8Du3+2XKhKQ7jOg0FPHRCys4lkGj6vCHv3uFP//xFlkuuLTRJssLJl6CRNBuuIy9GClhqV3FtHRubI/4+rPLhLEaxma5wLEB7YFirhCSa2XkL8D5tebMnf/uzhgvytA0jcN+wDVTI8kFiw2HRsWiYpvMl2kYr984QtPUENoLc4I4ZbFTYX2+plxdyobKsQPGBzkSgxp2q9fVYq75YBD0w3f2ERKyXLDb9RlOI+aaFfwow3VMXMfk7EqD/Z5KJ/goV+0wzmbOYkUR0x0GJJlQAzVNww8zXn5q8RfygPF5Y+TFhHFOq+5Q/wKELH/79j5JmSvZH0e8d7vHq89/creSaZDyd+/uk2QFlmkwCVTqxvMX5pFC8r2ex0K7QpYJfvL+IWeWmzx9rqPcKZbqtJsutqnzb//nq+SFJEpzojTn9vaQMCkQUrnPCCEUOUOo3naSFUTpg+jt4yjv+/tTdF1H0zU6NRUJnGWqgbo8V+Wn11QSwIXVBmeXG/z1mzt4YaocqOOM/iQC1JphWjqdust3Xla3z0uXFzgcBPTGIWM/oVGxaFRN5pouX31mCfGGclDqTUJcyyQrCgxdJ05zqhULhHqc+ZbL0TDEMGF1vkbVNUkyQa2iSOZ3dicc9JTT5jGZZOInH6tqzwvBxE8ZeTF+GSlrmTpTP2WpU32MoOkF6QlC+DRIWWhXePp8h6fPn/zeKMl57dohu0ceoHFxvcnXnll+IpW/v0q4drfPmze6hEk+iw/+tedX8cOMrzy1+Fij3TKNk0kUtnLD//d/dZPb2xP6k5Czyw1W5uvKbTLKSDJBu+7QrjtMA3XdLXYqNOs2YZRyb3/KYJLMiMxxVpBmOXkh8aKE194/YDiNefnKArWKPSNE394ZsdCuIEq3kO3udDaYE0Iq1XOsiNeWoRPGCbd2RooUMo2VUMq1lFBhrcnqYo2zK01W5qqcW2lwOAy5stEmSJTY46tPLwNqYNas2WweTGduJpPjgWrNOdEweRj1isWz5+cYewlV12S+VWH7cEqSKneO5bkajmVQcU3adXfm6mNbBivzNSxT53AQUq2ooa+USoQzDdJZLKsQkt2ux3MX5gnjjLGXYNsGWSY4LCNopZB0R8HMuW0wjfmHv3WJH79/yE+vH9IbRRiGXrqDZeweeTx7Qbl+ZLlgrumSF5JpkBAlOWMvYewnvHBRubQeE8aSVNU9j7pTHCcSHLu+VFyTimNycb3F1qGHrvGhr+GnQRBljP2EqmPO1kYvTGdOzD9LfOopFLJcqFS8Mnnm5tYADVWvhp5yyCly0IHjTdgyIBFKMJFlBSIHiWAwidQeXgiSMhFmc98jF4JCwPXNAefX6mwsNdk98rh2b0Cc5vQci0bV4vmLC2wfepimji4kh4OQc8t1tg4nhEnBYBrjRxnfemGVlfnazB3n0Rmi8yHi1Kpr8fdePcv9/SkCOYtT/zA4lsGLlxfICoFl6J94kFJ1rSfWueoUv9rojRR54MsQ3F060wZQbq9SnjpEn+IUnzPyXPC37+zRH0c0ahZ/++Yux+ndg2lIzbEQhUTTIUozjDLlIkwyJJIiV3v7cJqQ5QINJR4+rttHfkoh1KBU0zSQGpc2mmSFIE1z0lJwaWg6P3rvgEbVRiC5t+dxbqVOVggcSxHF2w1XJdamBYf9gGmYUXNNvCBBL8XCFVeJxaMkoVaxaFZtJiIBHc4sNxlNE7rjiHPLTc4sNcgLlYw7DR4046UETdc+kdCx3XB45alFijJt42H8l9e2Z+Y1N7eHnFlq4NgmeSG4tz+ZiTjWF+tsH04J4xzXNnjnVhc/Un3CqmvylSsL+HFOzVFnNDQNXdOQyFlvM4gyBpOYpbJGH05j7pS9N8cyeO7i/JdqxlAU6nl/VK+v6lqcXW7ghSlLncqvZF/w80YhJNfuD4jinPfu9Lm/N2HqJYRJjmXqFIUskyYkrmOyMm+TS+WcrkZwkiBM8QJ1VjwmwMZJwX7PJ8sllqlRFCrJxrYMbMvA0CX9kUq8uHqvz0rZr97petQrFr1xxL3dERfXO3hhilE6N28delQdi/mWy+pCbUZoCqIMy9RZ6lTwQnUONHQdL8x4+1aX/jgiLwTPnO/w975yDsc08Mpe2fHrYFs6Z5eb6Joyjpprlb19SmfGJOOH7+zTabk0KhbTIGWv5yMBXdMIYnXPrczXME19ljLqhyn39yc4tomuwbmVxmNnhwvrLe7sqHnM2ZUmjmXglucWKVVS0cPJvGuLdQxDJ4wz/o//q6fYPFCJv89d/PQEpcNBOCOdRHFObxSx+lASyilOcYoPhh+m3NgaqV6loXF2pcHm/hQpKe/HuZnhy6MQQtItzecW28rFfnmuxmE/pFaxWGi7vHmjy/4gIEly3rurhBsaUEjltmsYOkfDkIprstip0qyp+VEhVDLQftcjyRThTEMjiktjONtgZb7Bf/d7z5IL1aN57f0D3rs34J3bfVzbYLFdxbYM/NIJOU6UUR2axn7PUz3Scg+PkhzDoJzdNnjvbg9dU3+PrsPhMOT8Wkvt+yUkGrZZJgFrzHqdH4SbW0Ou3h0A0B1GdEcB+72AXEgmQYJlarxwaXH2uh73T9UMVhEEq47Jd79xFk1jlqr26Htze3s8S1x+45oyEcsygWFo3NoZf/4ijqrNM+fmmPiqXj1OWWvVnQ/sa469RJmBfUFzw88D6UPzeOCBmLHEb3xlnYqjkiAub7Q5u9pk6iccDgLmmu7PZD458uJyZvGApLy+VJ8lc3lhys2tEVNfGTUutCpYlk7VVb9r58hDStjr+sRpgV9ea4YBQZSDkDOnbMs0aNVsZPl7pkFClhWM/QTHytnrqb37WKAZxllJkFY9j1bVJWurBGLH1hkHMVmmZnzdUcS7t46YhBnXNwckSUGj5uA6Jqal0266bB1O0TX1d/pRRpYXxEmBYWhM/ITtQ48bmwOOBgGmqRy8b24poynbNPDDjPv7E0bTRJ1LopzNgyl5LqhWTJr9kK8/u0SUqPfu0XPP8dxfvWfhLO1kr+d/YvOY/jgiSXMEYGgaC+3K6QzyCUC9XM/u7U2IpJo1DycxcZpzf29CIdT14joGUZJjGTqmoeMnalZYdSyG0xgvSPGCmKKcM4y9mME44ve+dZ7f+MoGQZRgmyaiyNF1HT/KMU2dQgglptbAMCRxojMNMgbTCC/K2O8GFFJydjnlypkOb944mokTslzQqjv098Zc2mjjlXM7TdM4W57VH54tHKfSGIZGo2qzPP+ghj7eOwshkeXrMAkSTNOgghKDTIKUdsPl6t0BQqi9NMslUpNM/JSqYymRmK59ZHrUZw1dV2k+x2cE0/x8U3RO8fNhdaHOf/W1M+z1fBZLUWJeCI6GIRrMekK/aFACSINWzcEwNI6GAYUA0zQQUt1fG4t1/Cjj4nqb58/PE8YFeZ7jWipVQ9dUY8IPcrpDn2mYYVvKfPn3fu08UVpQc03+7p09Xr9xhBCS3ijk7EqTXpk6Ple3+H//h/dmPTdDl4xKjl+WF2wfTPnqs8tMg5TlucqJ+sMyDX7zlQ3evtXD1DW+9uzyib/x7VtHxKW5Q5wW/PlPtmjXVY3XG4X89lc3qLoWoijYWG6o2qGs+5QJo8fUT3Fsg/mWe2Ke/vbNI3509Yg0K9hYrNGfxJgzTsUYy9QJI8W57DScWe8jiDOQkoW2ui78MGOhVWF9qU6aFTRqipuR5hINZbpz7f4ArzS1ubTR5qmzqk/TqNrohsaf/t19gkiJsr/69AND2FOc4stEfxTx5s3u7IwhBE+ciKN79LipXRinzH8Jz+XnQZydPOfd3RnzzRc/vdH8l4kkK8hnSfI6cZp+7M/8suKJFXEMBgOuXbvGv/23/xaA3/u93+Nf/It/we7uLhsbG7Pva7fbfP3rX+cnP/nJl/VUT6AQ8kSzJEmLz5QokeXFTMABzAoXAMfSORqEREnGYJKwtljlxvYIy9BLIrJyyt46LPDjjCxVhG4/TNGBc6sNpKZxZ3dEnkuyvCBNCyxLp2KbjHxFQswLQZYJCl0ggCRVoop2w+XW9giQbB5Mub45QApJu+nw9WeXkFRZnqsipRrsvH6jS5IJeqOQaZDSqjvc35+QZkr8Md+qkKSKVLYyX2UapLx3t0+WC1zbxI8yludrrC7UZrGIfpjOBBygIvAMTSMHBhPVzNRRzdpplGKbJvWKIpmeWW7w0uUFdrs+801XOcvoGrqusbpQ47kLCzx9tsPQT9jr+kz8mCDK+B/+4ibfenHtsU3LD1P+80+2iGI1uPvOV9Znh0TD1KF0C8zKGFRN4zEHjYmv3P6Nj0jiSNJi5pa40/XRNMp0ApO1hbp6v/IC40Oa3r+s6I9VAgvAfs/nuQvzn3siyaNDxE8z0J/4CTe3R2SFZBpkVF21iY28iHOrDZ67OM9791SRP/Ji5lCHFNPQWSsV4vs9H13TsA1dOX2nBaaucfdgUrpAVWhUrXJAm2LqBq5jYukaP3zngN1Dn29/ZY1W1eHtm92ZmCQMM+abqsGXZAVrizXaNYfbO2MArm9GrM3XlYhBooRfeY4oKMmlgjwRDGXM99/Z5+UgpVaxePNGl9eu7tGbpDSrFmdXmgip0R1GNKsWSZJRcy0GSczuUVAKOTRGXsLLVxRp/txqk50jj/4oLgfkgtWFOu2GQ3cUcuP+GC9KadcUKV658Hz0eiyligc/XkuCMEfTNJJMJQU9mpQDnHAHVZ9/+LXWH0eMpnE59FBN6JGXfGHxgoVQ675jGZ95UtQvM7YOPXb7AVmao2k6BwMfUI3JQkhM4/H7/8qZNgf9oBxGNtneH/N37x6QF5Ikzbm5PaLqqmjJ5bkqNzdHs58PynSXJM1562aX/jim6ho0amoQ0BtH6Bq06i5BlHI0Shh6Cff3J1y7P+BrzyzPnHBMQ4n69HLI8KN396m5FmlW4FgGVVcJTo5jVu/sTMnygopjoqGSY1JTR5RpEIamyB3HTdH5ZoVpkFAISbV0vXoYD+/L793u8/bNLs26w2+9sq7SAD4Ajao9S7UAWFuo88O394kztQ587ZklhJxpKknSnFtbQ5bna2ws1ak4JlsHU3a7HpZpsLpQe6wW03WNOMm5endAGGfc2xtzb08JXJK8oFl1MPQHgyZD13BNnbu7E8IoI04L0ixF09rq/x9y0lnqVFhbrLHfCxBCPqgRpNq39Ue2h0evn2P89tfO8NbNLkJKXnlqCV3XmW9VPpGL7jRI6Q5DLEtnoySpPIowzrh2fzAbwp5fUy5h1zeHM2HalTPtJz7O9cvC2eUGN1qu2qcmMUkmyLJCDfoF5MkD54Tj1ztKBaahIaREConQNAaTmEIqUqeQEktT9/TQi9U16pgYpkHFsWaipKwc8Osa6DqcW6nz+o0jbFMNePwoISkqRKk6OGuo5mqS5tzZGbPX83FtE8c2WF2o4oc5tYrJ6vyHE5IKoQSkSLi5NeKps50Z+eqDoOsajv6zDQ/zQjmNuY55gpD1WSBNc9681SOKc66cabPxBMbEnuIXD91jEcfHCJw+D1woE6jGXsJgEn+syOoUpzjFz4er9/rc3FKu7AcDJWKuuqqu1TUYTGKyXGCZYOoaWaEGe45m4NhG6VoriWIVMY2m6sfX3j8kSnNMXaNRtZj6AsPQ6TTcGXmpOwzpjiKSTJE54iSnUrpahknMjc2UXEhc26BRNclz5YSX54LbOyPyQmLosDSnEuykVMmBuqYpcTSS3ijicBii6xp+kHJnd0xWqOd7+UyXRtVB05QwO8sLstIps+qoBAzT0Ki6FnGiXALrVZvdI085ZLsmrzyzjG3qGB+wvY8eIikWhRoASMA01BnkB2/vkRWCr1xZ5BvPrTD11e+7vT2aHRxGU5VS0qrZSoyx2mAaZuhlUso0eDBEeLh30B2Fs3otyQqmQXKiJn/47/m8CRqHg4DtIw+A86vN2fv/KLrDcObQPJjEPHdhbuZyeorPBg/3oe/tj2f7fS4EIhWAStQLZcZcyyVMlFBqOFFkKl3TkEKRdLNrR4BUhOK2Sp00DLBNo0yxrrDfCxhMY/K8wkHf597ehP1+QBjnKrmxTKf2AiUCE1JD0xTxxNANkiTn7t6YKKlzf3/CcxfnQTLr73lhSsXRGXgRrZpDmuUUhSzJmRphpHrQShgKh4S0GzYTP0VKcB2DpbkqeSGYa7h4pTFAIQR+mDH2YobTeJYu2Z+oFJFOw6HqWqwt1riw1qJRtWckw944UiTv43vYS8iFRNe0WZ83K4eBUqreAMD6UgMvzLi9PaLqWmwfTqk4FqapM9d02Ov55Lkgyx2+9szyh85uPq6H9ujt/kW6/J7iFE8yju9tUEm093Yns/swLwTDaTwzZALVr1frnep5HPexBuMYy9J5/foRSLUu7/U8tg6nmKbBxFeGLpapE6cFWZaTGjpCqPt1+2BCzbWIU6H6DLFK3TAMHZmpZA2kxDINtvYn/NXr21QcZbLyzLk5Kq7Fy08vI6QyUxv7SUlurZcmUQlBnNIfR1RdNYssJOS58gV1bIO5RoV2w+b6/SHv3u7RG8ecW21QrzyoKZ6/OM/hICROcxbbFQaTiK0jHykkW4cqcfXFS/MzQtkxJv5JcsRgrISGAGkGUaochl3bREjJUqfKUqfKmzePSDNB1TEJk5zuKKTdcHjt/UNc2+Tv/dpZDvoBfqTmulH6oPdr2xpTP535XX1RzuPHZkIfh8Ek4u7uFzs3/Dxweb3F7Z2xSpYxDV64+Dgd6evPPjCY2znyZmLow0HIi5fnP3Xija5rFEKg6+pjTS/nk6V4sTcK6Y8jLFOZTHbHIZ2mMmFT4vTjx9HJi4yiFHFFiZiZGx4NAxZaKrG6XrNZn6/x5z/dYuIl6t4vU2iaNYsgKRiMI1oNl2ZNEdeTtEBIyfpCTRkjSUmaFWSZJE5ypNBxbYPXb/YI4pyjfoDrmFw+01Y8h5pDkhUMpzFhmJFlgvXFOt2RSsAxdCX8HoxVTTOYxrTqNvWKTcU1MQ0NL0yRUpJlx71ZNVcJooyqY856s3FSsNCxyXLB9pGHURLNjxPWKGtFYEYG/6DZ5Afh+P0+Gob4Ucq5lSbdUciLlxZmMwI/VOvDo7PNU3z5aNZsNpbq9EeREoVnSsyz2/MRAgwDWjWbVs1WiRpRTq1ikOQFg9KlvhCStJAnwujHfsyf/3iL7/10myQXWIZBXiiukKYBUhkpREmBoWkkqWCQJQg5JCyNG5NMcVuORU1ekFFxTAbTiJcuL+A6FnkhicvEp6VOlecvzs1qe9c26TQdskzQKP/OD6rDtXL/O7Pc4KAXIKSkUVP3GhLmmu6JBA+1d2sEUc7UT8lzialrLHaqM5GhHyny9RdxzT91tlOazErOLDdODXV+wfFw+gOove2LFP58UkRJzo+v7mMZButLdaSUqv8ndJY7NQbjARM/pVFTgtbdro8XKEHT9uGUWzsjRAGdhoVu6GR5gSahXjPojdUeqhsZQZTy/bf2mAQJC+0KP712yNhPECXn7NXnV5T5s5SkeY6/84AoPZwmaGjkosDUdWxLI4zz0ng4R5NSGdqmBc9dnEcIyVzTRdOYiUKP8ei9KqVKFilKIvD1zQF7vQAp4bmL6QkBRJRkHPYDhFT3/rHo5Bg/eu+QrbKvdjQKWGxXZ3xDIQVekDKcxhiGznKnwkK7ouaRtvFYX2235xGEqq6pV22+/fI61zeH6JrG5Y0W24fe7NxjWwYX1lqzuelfvb7NsEzuuXZvwPJc9cS150fq7zBNdU1+mWYyp/h0yHJBGKs98kkU0YZJfoKXHMTZR3z3Lyas2uNnPPNRgs4TiDB+8tJEVCKZhhAahqGR5vLjf+iXFE8sO/Pg4IClpSVMU/0JmqaxurrKwcHBCRHHZw0pJWEY/lyPYZsCL1CLWKfpEEXRx/zEJ4MfpmweeAwmyYwgPN9yGU883rs3ZOvQw7UN6q7B4SBl9yjH8xMcWzUVdO3YQaaYCRCqjsFON8Q2dRxb5/d+bR1Dh1TkSAS5EJiYZKJg7EVM/Kx0rFEkThN1w23tj5lrGNza6tIdxex1AwZejGUYZFnB1btHXFhtUnFNusOYnTDme6/v4sUZUy8hF2DqEKcCx9YRQqJrEtOAJEvZ7+Uc9jVeey9hvuVSc0360wQ/jInjNvbZNrqukWc53eGUsZdiGjqX1htsLNXYPIhoVg36E6EIdIWgU7ORaFiGZGXO4ZkzdRAZGwsOf/jdC/z1W/vEScHvv7rG02X0cZrG/P6vrbHf9/mbtw4xDZ00zfjRu7usdB5sAl6Y8tatPoNxgGXoZBlcu3tEp6Y2hd98cYn/8voejglVx+Le7ogXL3WQRUoYpsRJzp/+4D79aYKpw2Ds8TtfP/OB14WBQIiMIMoIwpiFtosOjKcR8w2LWsWiyBLuHY1LR7Mq862PJ2MKIZ/YwdO9/Qn39tSBQUNT193AnJHkx37CXi9A1zTOLtc/sybt7756lv/xL2/jBQnn11q8dPmT6zinQUoc51w+0+L6/SFekLI0X+PafaUU//pzK1iGIhxrGtSW1XMeeQm3d0b89P1DJkEyc9SI4lwRroVk59CnVbeZ+Bm2qXN+pcEz5+aYBgmNqlMmuUjiLOfNmz1+6yvrCB6IUCSKONJpODSrDu2aw0+vq0Z+nGaMvITDYcjaXA1jrcnEU9Ggh4OQJM2V0weSQqj14qfXDlnsuPzwnT26w5BcqGIjSnJubg/56zd2cCydsytNljrqUDQJUiVQygvOLjcIopRbW0PGflLGuBkIKYnTgmbdZnWhxg/f2ac/UU2uJCmoVE0mQcL2kcd5XTl7DCYRUZIjhGQ4VYck2zbwo0wJwAqJH6Vlg0Vimga29Xhx16zZPHW2w8RX6/NHEawd2zgxvLBM/TMnoH4YikJw7f6QqLyOLm+ckrM/KfZ6E8LouCgWDMZRGSnssdP1mG84dNoVbFPnykYH09Qfc/sal2QDUHWNEgHkSCnQdX0mlFL/r66N//SDbTYPpoRRxtCLObvcpOIYLHbOM99ykVIRKopCCSimfkpvEjG3P6FesVhoVfjaM8t4wS57/Ql7vRA/ckjKe+XiWpNmw6HqmNzZGSOFIopoKBK54xgg1b0rBdwqI8+lJmlWbfwwJYwLrm8OsCydesWmOwr5g//qCv1xxH7fxwuVQ5cXpPQn0Szi9I0bR/z9b1Zn7hYfhKNhyE+uHjCYRKwt1TF0ypSchJpr0RuHnF1ustcPWF+o0Rupe/rKmTaGoVErB56moavI+KbD3d0x9arN2eUGQy/m/v6ELBf89Zs7hLG6N2zL4KkzbRbaLqNJjGlo/MZXNjBK9880FziWQZZlHA59Lq622Vh60FjRdZ3vfv0sYy+mNw55786Ae3sTlsqI11efX+UHb++S5oKnz8196Jox36rwu6+eQ5RD2f1+j2bN5txK80P36K2DKYNJWAoCS1JLLj4wztQLs9n7Uquo1yfLxYlkofEnSC86xQNkueD+/oTtwynv3ulTq6iI3NEURCE+9mAqJOo+1CEWAJKR92DorgFZUSiRhaURxgWxBu2mQ5oK/CimP4mxTQ3NNuk0XOaaDpfWOzx1ps2d3QlRkrOx2GB9oc5hP2TixeiGGn5c2xzy7p0BVcekWbNxbIPLos3zF+apupYasH5IeTh9KJUqzwWTIPlIEcfPiiwXXLs3IMkKNE0NRT5JYkwYZ9zfn1IIwcZSY+bM+Ch+dPWAnSMl1Nvv+/zX37l4mkhzip8bx2SJjxJCfV5wLINzKw3u709n6VynOMUpPj90RyF7vYAsL7AMneW5ajmw1KnYOocDde6MUrBN0LTjWlhyNAgREoq8oNNwSHKBqWs4jsHr1w9J0oJOy6HuWnSHAVXX4unzLaJYzAwXeqOANBdYpkHVMclzoc4MaIwnEbmQGLrOW7e6zDVVj6QoVJprGKfUKzZJmnE0UOvW+ZXmzK23KARv3e4yGEegQZwUpJkijudZwQ/e3mdjuYFpaKzN17i1M2YcJFzZaFOtWDOye6tuMwlSNaAVkp9eP6I7CnEtg2mYsrHYICsKVuZrJwQKl9aavH2rRyEkG8s1mlWHoRfj2AbbB1PSQoJUxgn/zW9dZn2xjhCCRtXBi8pEwIZy+wxi5ag316qwtqgEm2lWcHtnjB+mpXD6Qa3w6JndtoxZ32wwibi7NwGpzFmeOT93QsghpSKXfxY9tqJQJK/jmmvrYIpjKSJYs2afGCaPH4omF0LihdmpiOMzhm0ZoMHUTzDQ0NEokFRsnSDOKQpV34Ngvx9QdU02FussNF32UiX4l1IQxQWHeUCRKxLjUT8gyQpc22RxzmE0TcjygmmQkQvB4Sjkf/rebXRDQ9M1hBBcOdem4hoc9ALUkU6QZgXNmk0U5+gVDdsyaFRt7u+Nubs/4UfvHdBu2EipiBV7PY80Uw66F9YaDD3Vc0OT2KbOmeU6Uz9hEqQMxxG1isXRKGS5vE+nfopl6cw1VaLH2mKVq3ciDgY+kyBlZa7GYBKj63B+tYVpaAymEUGUoGsaO12fiqPOMKDOFA+bRAihSNyiq2r11YUaZ5YbJ0gRh4OQxc4DAsbaoiJSv3dnwNpSjapjcWdnRLNMxhx7CSMv+cCzQSEk1+8P1IBUg0vrrcfO7qsLyt00iJSj+5ch2D3FKZ5EPLqvOpbB3f0xQsDagkrglVKZHx0T1vb7AWeWG0RxzvpinaprESU5O90IP1DzwMNhQJQUTPwEpEQ31NxRFKKsiUrXe1NHioLhNOXewYS5uurXHRv0LbQrMJb4kRLVdoc+f/1WwtrOiFdfWMXQVArwxlKdmztDkrig6pjs9QIO+wEHXZ/bOyMcy2Sv55eu6aYSqmoQZQWmqYxaKq5JnBTc3ZsQpzl+nLF96PHchTn605jXrx/SrDk4toFlSOYaFq9fP2IaZEyCBNc2WFuo0xtG/KPfuoj9kJnbmeU6P3pvn/sHHlXX4MWL87x+o0eS5riOyULb5XAQ4NgGr76wwt6Rqv80NNIsZziN6I2VQDjLC2quTRhn/JefbHFmuQkogaxl6rPXbn2xyQuXC/Z7ATXX4oVLj8/IhFCE4S+D1Pr+3cHsXLy6UJ8Zfz1psG2T//WvX8ALU2queeJ9v7MzYq/nc3G9NXufJg/VhXkh8KOMTkPNwbYOpgihiMaP9vHCOOXu7oSKY3J+rcU0SEuhhs7LVxY4u9yciQKmYUZ/HNGfhFiWwXzLIU4Lrt3rc36txVNn58hHIRVb59ZWiB+rmtsydCQa3VFIlhUUhSDJJX//W+eoVWwc0yDOCuI0RwJppuon2zIRqDlKGOVYhoEwJGGaczQKqVdsvDBjEqYkSU4ugFyZzk18NUvNCknsJxwMAs4sNzmz0uCN60cc9n0qjsWd3THv3xsokqxpsHs4Za/rYVsGF1cbTPyEMM5p1DJenq+wfeihoQjAq4s1xl6CpsHaQhVZivNbNXUWygvBUqfKze3RLA0wjHOevzhPvWpjWzr1qk2zrkijFddkY/nDScU7Rx5jL2ZjqTE7B0z8hN44VO7gVQfT0CgKydEowjJ0ahWL5bkq51abjz1eUaa6n+LzxWga86OrB6RZwXMX5mdJK42KjW2qvbB/O+L9ewPu7I6V0Zit89SZFXZ7IZsHY8ZeSiEfiItNXcPUJMUjvyvJoDuOEKUXraGD65jUXZNO3WYSZBgadOo2UZqTlSLpLBcMRgH9aYrr6OS55HAYsNiplIkZATVXzRdVCmGBFyQ8a89z5UybimMihGS356tEqpFKAK9VlPjq/Grzsd67YxmcXWkwmERcWG8y13BxbIPhJCErCs6vNrm00SbJCv7b717hL3+6TZLprC81eOZsh+0jj5GX0Go4zDdd7u9PTqQkfxYJ9x+Fqmt94tScU5zik0AIyf/zT95lv6fOwmdXG3T7AXuDENc2MDStvLcKkrTgR+/uMw1VstrBIMQLYqZhjpSSWsVkoenQHUYYuk6r4TIYx0Sp2kv3egGOZRKlOaNpzG4vwCt7eHEmOLNSxw9Uf+/MUp0fvnvAxEswdJ2zK3X2ewFBXGA4GhfWO7iWQVAm5X7vrT3G0xgh1ZpwZqlOkgklJNufnJhbfPP5FQaTiP1ewOpCjZVOlR9fOyQrBO26w929CduHnhKTpDnPnGvPTHRsy0DXNEZeRMW1aNYsbm6POOyr+igrU4QlUoliFutMykThjaUW1zaHOJaJbqBqkCRn5MU0ajZff3aZ3lhxEeaaLnd3x1zfHFIIwdpinecvzCtDTF3n4kaT6/dHiLKJ9+i+mqQnHfbTrJj1EAshubk1nBHp4zTnmZKzeIovFmlWcG9/QpIWLM9VWfmYGV+SFVy7NyDLBbqu8cz5uScu/W95rkpWFOwcedimzkuXP31y7ZcNfxQ89rVCPvniAct68urz5bkKN7eUgZhu6KzO/eomGD+xIg54vIEjv4AbKssyrl+//nM9hpCSPFLFRix0rk+Us15eSBxT+8RDu7yQZOXPpLnktds+eS6RUrLUMjm/UiGSBv+/d0MORxlxKuhNM1xLI8kkcw0TSysw0Wi5GpYpORyqg5zvR6QFDKUgziDLIIrhT394jyQHUUCUStXgzAtyKcAp0KRAB1wDTEOQ5kCRcX9vxN29IUJIbFMjiAuSDAqzYBpI/tP377DYtnnmTIUsB0MXbB35FLkkzkpCK5AV4Mfq41vbAyqWzmLT4GCSo6GRZHA0mNKsmhRSoucB793c5cyiw1LLolU32DuIiVLJJCy4eltQdQxaNQNd5OgyoygEOpLBcEK9atA0c2pkXL02wNDBLsmkT5X7UOod8uY7ByfeuygVjEfe7L2yTI3r19UgfuTnvLcZMPYLRkHOctvCNnVcply/Pp79zG8/o/PG7ZR7Rwmj8ZTN3S7T4QGurbNzFPPTGz4aath3Z6fPqN9lY97GtnVcSztxf2iFREY5ZpHhjZR4wQbyIKIQOn/9oy2ubavDqabBK5dqOJbOOFAujvMNc/a3JZlgd6BcCuoVg7U560ObqUJIBl5OLiTtmknF/vKVi7f2Inb7KZMwZxIUrM8plzXiKsMjRT68e3CcggB372tcWvlsyKkLrQr/1z946Wf6WYlk+8ibEbxNQ0eTkqt3+xiazp2dCXmhBrCuYzKaJvzFa1scDUP645gbmwOyQmBoGl6Y4Vg6UaoGE0GcE2eCmmOSGHAwkCqKWNOYBpkSL0hJmBR0h6Fy9NZgf6QccppVGz9IcC11CIyTHNcxOBj49IYRjm0ShBnbucfv//oFJYgYx3zvzZ3SnTMhyUGTygUnSQv+6vVdemMl4DjGpBS/mbp6/CQd4xg6WSGouiZFoZz2JmFKEGQUSxLd0AjjjINBgCigWVeE7d4wRNNVIsZB12cwjRl5MWdXmjQqFre3xyy0Xfb7AduHHtPyYNZpuFQcg7Gf0Ko5jLwETVOCj3bDYal07fgg4kO74Xwisupiu8KLlxa4tTNShfu5j3Yq/ywxLhOVQLk+Hg3DU3L2J8TNzcmJz/ujiJ2uz+ahGnL83ShSzjJzVe7vTfjqM8vMNZwTA5SLG22W21VGfqxcziyD7iiiEJKDns/FjRa3tkckacFc02H3yOPO7hhRSII4I0oKskJgS4MbmwPmWxXOrjRIM1HuXRpBnOLaBlkuGHkJY1/tTT9+b5/BJCYXgnrFJE5ziqnAPddhNI1JXUsRD8IMiUrjkho4psF3XlqlP425vTMhzwVTP+Fv395nZa5KnOasLdQYTGPmmi6ZJdg6UILRa/cHjL0EQ9dYaLusLdZ5725fuZUmGTe2htzfn/LsuTm++eIqtmU85kbwZz/a5GgYEkQZXpjwwsUFepOIRt2hVbNZaldpN2zW8ioSdTDWYyWQ6TTcGfkjzQWjacTN7RHjqSJprMzVsEzl/jmeJoy9bKZdSLOc+bbL+ZU2S3NVNpbqXLs34CfvHZRuwgajNGca5ex1A4aThK88vcSFteZsTWk1HPJcsnXgMZxERFmBbWkkmTrk/7fffepjrzs/THn3Tp/BNEKW5H7LMhhMIhbbVXRdOZt1mq4i4N8f8OaNLklaMPJjvvbMMjXXOpGG8jCyrODNm92Zw0mn4fDchZOufU/iIPPLxM6Rx3Aa8b/8aJMwznFtHS/IaDecE64VH4VMMBMPPorjr0yCDNfSsSyDQkjW52tsHXoMvYgozplvVfBDdf9dXG/x/v0BV850qFUs9ro+jarNhbUWhZC8e0fdl2lW8Kd/t0maZCSFpF4OG86tNLl6d4Bp6uS5+NBBR71iqWv2bp8kLXj6XIf1hfpHCrV+Foym8UzwJqUiy34SkcXdUsCiPh7TeGrxA10Hxw85VR7HtZ+KOE7x82K//4Bs+GXg8ka7FHGM+daLa1/KczjFKX5VYBkGE08lcDmWzu9/+zznVlromsY//3/93YnvzXJwbbXv67qm9vVCYDsWi46FrusYhkZ/FPLatSP1f5ZOkhbK3TnIeO3qIZ1mhSjOWZxzadVd0DRcx6RdV27zaSZwDfBK93tdg8NBhK4ZCKFEHn6UkWQC24rRUeRCgP4k4mxJ6gnjjN1Dn2moTBZkSRQRKMOF7iiYOdW/e6eHrulIKXlteoQoBGuLDQxD4707fUUKyQRBlHLt3gCJhgZEr+/wD759gaKQRElOo2rPyNjL8zUsc4DMBDXX5txqg7XFGpZp8Jc/3WYwiZFINhbrxGlO3bTRdZ3/5ruX+eHb+wBcXG+QpEpEb5k6g0k8c7lT/YqcOM3LwemD5L8zyw2EUMYR8y2XwSTm+v0hpqGrWros0oJIiaSPz/gTP+HO7piikKzMVzm78jhB6lPhkf5cEGXc3BrN/uthN+l61WJ8nF6iKSfC77+1i+uYfOXywomz6sMohGS/55PlgqVO5dSd9yNQcUwurrV4906fCxstkqJgNC3wQnX9HNfuQoIQAtMwCKIcy9Zx7NL5VkiSXPXRs6JgGmaYBri2RSEy3r83olW1mIYZUZJjGRpZVihhhqbMFwbjmLGXMtdyVdqdZZRrgaqVDV3DKJOmVxcq/PT6EV6YzYQPZ1cajLyEMM6wTJ2JH/PGDdVHTtJCpYMsVmnWHfqTiL9+Y4e4TOBbW6ghhSQrBL1hSLVisbZQQ9fh+2/to2uKxJTlkqprYpo1NJRhweb+hP44BgkVJ0XTtZIMmRHGOTtHfumCWmUwTRFCMPFT5lsOc60KR8OQM8sNeKRt/WgXOysTDY+/HqcFzdqHf/8xpkHywOFOKoHIoyIOy9R57sInN/E5xSl+FbF1MGXzYEKz5vDylQV0XWdlvkaWKyJ5s2Zza3vIQV8RuP0w46XLC2weTOmNIt64ccTNrRG2pbPXDVhdqKDrGudXm5iGThgrA6gkVbWIrmvleqax2KgipaaIZYYyVIvSAlCxpXFWkGcFaZ5zcb1FvtIgTgr2+z6NqoMQKrk4l2BKSXccleIEE9c1+f5buwynMa5jkiYZg2mCkIJxJplcVQY0pmmwNl8jLyQVR5GyvSgjjHJubqmZ6pWzbW5uDuhPFOE7qVlsH1rsdH2yTCCEYLfnEyc5nYaLYWgzQWmSFbNeR5jkWJbBxE+4sTXk5taYN2921Wza0qlXTJ4+22YSpFimTpIKpmUPZOvA48xSnds7E+ZK46C3bnVp1GwmXsJOz2epU8XUdSquMRMHgCLEVl2V4uZYBrqh8fRZRTJ7VCS33/PZLRPlL623vtDZxJ2dEX/91i5+mHFrZ8yrz63wzPknlwxnmvpjr987t7v82Y+2AHjt/UP+8Hef4txqi3rVnu1puq7N6us7O6NZysOd3TGvPLU4E2Wkac5/+P49+uMITdM4u1JnvlmlXXe4szPmL17b5tJGh2+9uELFsTA0ja3DKf1xVCYMCna7Ppaps3nosbJQI05z3rnTxy/dfPujiMsbDSRKhIWmEyYFmhfjRTk3tkakeQG5mM0SCwReIHAdSbViMfJiVuaqJEHONExVWohmsN2dkpbkyDKwGFPXSZKCMMopynNQlhfsdX0W2lWu3RtgWwbNmkNWFByNQuIkI04ERVGQC3X+KQrJ3T2PjeU6VcckzSXv3h6oRBHbKGcRCUJK1hbrGIa63uMkZ38QcHalieuY3NubqAT1cj4fxhl+lNEdhjSqNroGF9dbJ0itxyKdhXaV58sElpubI356/RCAq/cGPF/WJn6kZv0jL6U7ipiGSviVZeo8dGm9NaunHuau3N1VppCmqfP02c5nNh8Iy/f9VFj+AD98d5+xp66VH7yzx3zbZTSNORoF5Jmk4qoz+/EMO05zxef58RaGrjP2MvJSrSEAHcilxHVM4vzxmZB4aCZfCJQhZCFKEYgsDcwkpqHj2iagkeeCkZ8hpMQLMmpVkwuLDQajkJ2ej6HrpFlOu+4ymEa4tsm5lSZekNKo2rx+/YidI4/tQ0+lQWlKrH12uUEhJGGSs9SpYOgq2ed4RrgyX+PSRntWfwspWZmrUXFNFtqVE/3643r8nVs9vDBlaa6CKCRPne2w3/N563YPx1TpBb1RxJnlxheWFHWKU3wWGEwCtg6ms7nY1dtdhFTGyFGS887dPlleJlRSsN31qDo2UkqEkIz8FFne/16Qkuc5WSFUinDfI01BalAUOfs9j4mvxIYqkVIrU3wlzZrF9XvjWWuqNwqJ4wwvTNE1jSRzkYBt6Giaxn7PA3TSrGAwtShyZbgskUz8hDwvZjO6OM25vz/m9etHLLSqfOvFVZY6NXRNGbBUKhbzbSUeW5mr8mc/3mJUGrTu9wL+6++c52gYYZRz82mUqt5inHN7e8y1+6p39tr7hyy0KyRZgRCSesXixUtzHA5VD6TumtzbM0GArkOeq+daCEkQZfTGIfOtKmGsElf/5x8M2espsvhoGrPcedD7S1LBudUGfqh6LWeWG+z3fQbjiPl2hecuzPGDd/aQUs3nqxWTN250EVKy0KqQ50IlpOgaUZyzeTBh62BKu+Hy4qV59F+CVIEnAZsH09mZafvQo161P1KUMRhHM4G7EJLeKKRe+XzFg581Rp4yUzANHV3XORj4X/ZT+tQYhI+nh0yT5AO+88nCtTvdL/spfGp0B97M5DROBGH65L8PPyueWBHH6uoqh4eH5HmOaZpIKTk8PGR1dfVz/b2WZXH58uWf6zGEkAy9BL10rvfCjLt7E0Qh0VyTp862VRyvlB9KjvejjNs7E6SQSNugaRs0jo5I0kIpYucrvPrVswBsT3dYMBIGkwgtCHAqFqYDaysNLthGGVsuadVt/uInO2wd+eRlJLtrWSR5jqFDLqGQRjkkBrPISrc+nTSVVAoL05R0GjbdkXLNkpqg3a5zNFZ8UggAAQAASURBVFDpJRJJJnQsSyfJctJckgsIUo2oX6CZkoprIUWBEDq6oWGIgkIIsvzBcEsCtmVSoDOOlXuZaWrK3SyCes0GTTKMDeJUY5w4eH2ds0YNYTrUbI0j36Ndt0DT8DMQhlKl6YZgGmak2ASZQWa02Z0aNOs2FdOkWrdpVC3GQUoQ5QRJRs21kLbBlXPt2aHObgx4//4I09B59dklzpQOGD9675Bqw8Z0Cyw3pdVwuLzR4vJGC9c2EOWQu9NweO3+TZJCJYPUXBOzuohumzQ6EYaZous6fpThGgZeUeOtnZxXn1vCrFlc2Wjx5s0eB/2AhXaFV19ZIheS7jBE1zVW5quz5zp575CFhQcbq9Noomk6LUe94tWmw4U1VUze2Z2waj8gr62uN+l8CMH8/v6U2FALrKZrXLrQwS5dkr6saMh7oy0WFjIML0G3EhaWGqwv1Lh0rs3yXJU0K0iM4ez7NQ2efXpx9vnPK+L6ICineuWKeExoeAxSDf6u3uwy8WPiVLDX93FtA9MwqFZNukPV/BxMYna7Pv1xSBApRyQvzNB0sAwdISXyochBIUHkgmmRKhf7IKU3Uik9Gmq4a1mqSWroOntdf0aGNnWNIErRNJ28CHBtkyjJSXN1WNM0DdPU8UPVXLy1NWR5roZuqK9bhoZpGaS5usELoZxE80JF/2qanAlqHjxfSZoJ8jxhu+8RxjlhlGHo6tpKM4HUYBIkPH22g6ZpiALSPEdIi9vbI9pNh/E0pjeOOOgrd8OivNdW5ipsLDcZTmOy0sHnaBAg0djt+qwv1ZlvukzDlHrFYq7lMpzEFIVqXDU+hsAgpUr1KIRkvunOmt7H0DSNc6vND3S3+bzxKEH+NHbxkyMvTvrWCKmaE6NpQq2iUl6SvGAaJrx7p8dwmlB1TH7vW2epVdQaOteq8JWnF/mbN3bIC4GuSbqjkKNhwJ/95D7zzQq9UUSSZFQci7m2S38cMpwmCCGxLJ21+RrDacw0zLDKaO1j8pKhqWSFwVRdr7WKSmP6//6n64yDFHQIgpz9QTiLF9468knSgrWFOmlWMPJi0jIS1TJ1NF3jaBTRqDk4loEQOXkuSNOcIMpIc+Ue1azZsz2n3XCI4px7exMO+j6WaXButckrTy2x2KnQG4X0RjEV1yCIMr73xi5JlrM8X+fKmTaNqsV+P2DkJdzbH1OZkYs06hWT3kjy2tUDbFMlf1zYaLHb9anaJmbpBlB1TBzbIE5ygjhTjkCDgHdv98o0HIPr9wc8d3GewUSlk8lH3t/uIOT8Sou1hRrbhx5v3+4SRorU1ahYdDPlHGKZBnkheftWlzQveON6l7woGE0TXn5qkat3+wynMbWKzdahWrs/7rD+2rVDDvo+9/YmzDddeuOIoZfw9JkO3VFIsNpkMInxgpSzK+rjp8912DnySNKCNCsQQrnh1VyLTvOD9/FJSTCLEvV+R4kSG1zaaM2c6B52Pz7FxyMIE96+2eNoGGLqEMUaQZIhhCD7hCIOQDlJfwziTJG+bEvn/ftD1hZqpLmK+i2kVALEpkuaKxFoo2bz4qUFGlWbaZCQlm4w55brbB56DKeqEXnsTumHytUxLwTdUcRaST7vjSLmmu5jwoZO0yVIcgxdo91w8MOMe/uTmevUZ1UfWo8kYtkfIMT4IGQPKUelVIJ56wPKsjPLDa7dGwCUyUenbrqn+PlxnMSx9iVFsV850+a/vLbNnZ3xl/L7T3GKXyXkosC1LUyjwDQMRZ7WVJ8tlycd1iTKJEQDNCSL7QpJWtCoWTSqJvf3PRzNZDhWomYhJX4oleMsgCa4uz9lIcgohCJrF0IipMQwlEDB0BXJuygkaVogUWRuXZPc2xsjJdiWRr3izIayQZwrAjgqBe/Nm0f0xjGdhsU0ShU5vSSl66ZOIZSovFE62+uaRpwIJKUQAsm9/QkjP8EyDPwoJS3rjYkfKyIH6qzsRRlv3eqR54LV+SrPnp+bkcyu3h2ApmHbBrtdj6wQWIaOrmv0RhFZyc7aHwQ8LIZd7lT57a+pVOexF/Pa1hFCqPN9u+Ew9lQKQBhnvHunT5Ll7FR92g1ntm6bhs6lMtnOD1O2D5WxS14IhqWg/RgPp3duH3ozIe/hIGShXZmRlj6ud/BBMErS6tbBFE3TaNWdWY2jXs9kRrJanVfD7ijJqdgmf/3W7szl1w9Tvvv1sx/4O7YOFPkOYDiNefHywheWHvokYqFd4RvPLRNEGc+g8eb1AySKFHXc7yoEZLlk4sWM/YgskzMBhQYURcFDbTzSHDRyKq6l0jo0RaLyArUOCFH2+o5/gYSxHxOmKYZuAJIkzdA0jSDOSNICrUy6GHoxfpQRRhkFEk3CbneKruvKvMXUieJc9Sx0DcPQcS2Ti+tNdo/UfdcdBmVSkE4QZ+SFImJcOdshijPeu9unP4rYPvSoViwcS8dxDOZbFQxD59xygzQXvHWri20axFnONEoZTCKC0oE+SQuWOhXmWxVubI14+coSm/sTuqMQL0zpT2JeeWoJgPOrTSWWEkrE5dgGmwdTgjhjNI1p1m2W56pUHHVvPHW2TRQXJJkSZX2Yscqj54xTntcpTvHp0RuFfP/t3VKq6ZMXgm88t4KmcaI3/jdv7dKuO0yDlO4o5M2bXUZeQlwmd8epmicWQpBnLpVyRrHQUqYm2gZsHU3ZPiwopCSOM3wJjmVSr6g0MTPR0DSdek0JZb0gpVWzqTg2/UlMFGeEiUDXKFOulNGNXipXjdJcZewlpeO9msnatqFMccoU8aIoa7xYJQqgqSStVsPh4lqD9+/1FWmuKIi9gvfu9Ng8mKr6KBNl2nhOkgvm6i62ZbDb9Uky1bvMRj4LnRo115q5+W4fTrm40QYJNzaHfP/tfbYOJsRJxtRX4tss07mzO2G+VaPiWIRxyu2dEZahksdvb40wNI2DUsgppaqV8lylSflhSp4LTEPnmXMdtYGVgtdOwz1B8n76bEeJW2yTlfkHfcU0K9gt05SElGweTL9QEcfNnbGqaSpKOJkXgmbtl0usenfngRGVkHB7Z8y51RZnlxvYpk6SFSy2KyU5+2SvTAiV+G2U29/BMGDnyEcKwTTI6I1CnjrbwdQ1dns+Vddkv+fz9s0uSS7427f2GHsx8y2XIM7pDkOyQpTE75SfvLuPZZuMvRQp1axDIqlXbPYHQSm4kAihESUFP3pvn/E0Zqfr4wUnSVi6ocQoaVoghcQPU/woI8sE6Or+EwLkycBp8lyg6RpFURCnBX6YlGZnET98ew/xkqRVU0Y893enBEmOY+uKGCsevK5FouqIZLdgvulAaQTnhxmFEOp3S0HVsak4BpqmjBk3luv0JhG9kUowzwvJ6nyNdt1RiQhVmxubQ7JCsHvkYZuGmvvoGp2my/39MT++qsQaO0c+ug7Pnp9np/vAdLIoJLoO60t1BpNICdMGPs2qgxBSCcMkaFKW97lxQsAx8RMljpeqR7xz5D0mdgrKFLJ61frEgozdrsd+SXL9IpIQnhQkaa4InuOIvBD85WvbeGGKY5mM/YSjQUCc5CqZKs6UCEODPCvw0gei7GMI1BkkzYrjZfojIaTqSURpPPuaoYNrmzi2jmOZTIOEOJfkhUDTNNJEMPBipp7at3RdECUZSab2wLzI8OOU3iTitfcP2Tyc4gUpB31/5i5vlSkjeV7w/t0+r8c5hqHz/KV5fuuVjdlz6TTcmTHBcBpRFIIwyRlOY56/OP/Y9VetmLx/f4CQkotrLYRQ/Q1DV+Zqw2nM6oI6J5/iFE8SnFKQcQxR3kug7vksyxV/BrWfu+UeW0iJXZo6HPfMpIRp+GD/j5KyrJPq3ygp0MiI04xqxULXLTRNxzRVst3Yi2f127XNIUfDuFxrJNfvjalUTCV4zAq2jzwaVZXMVQiJocHhKERKldJ75Uyb/jhWAtPc4P/+//kJYz/FNDTeuHFAXkAQK67emeU6hqZRcy28KMMLkllPJEpz3rjRY76t6s67uyNlfumYGIbGXj9grunOuD4X1lSajxcmvHxlkffvDrh6pw/AlXMdzizX8cMMQ9eoVAz8khtgm8p4N4xVYsZgGpdCbQMp1ewySQtq5UhRJQBX8cIJtm0gpORv3tylKCSGofFbr6zz3a+fZezFnFtpcm1zMKuTsrQozTrVGrgyX+X9+wOQqgYQQvLK00ufy/V2ipPIi5P9/CwvgA+vf34Z+FijaaJMoWwDTdOVAcsThixOH/taIcQHfOeThZ3B4wkjv+i4vjk98flfvLbL//53nvuSns2XiydWxDE/P89zzz3Hf/yP/5E/+IM/4D//5//M+vo6GxsbH//DPwc0TaNa/fnIajc2h0wDtSBEmRqW7fZislzQqNmcW9MYjmJ2Dj2adZuXLi0qRXw5tHQdk/3hGMt60DwyLYv+JCNMMnRNY32pOXuelzbmePdunzSPqVcdzq81ORpGhHFBveay2KlhWaYa5oUZQoqyGQOtmo4fQVEOYC3LJIzyh6K8NPKiUMkccYoXFox9NdxcX6wQJSryvRBqSCky9diObWKaYuZcF6UCUO7chqGEJbqmY5ZRP3EGmiZOkLmnYY5haAhplsNhOfuZQoIXZBhGruLlHRM/TJmWRHLL1Jl6GUlSYJoGrq0KJ6mpn1Wq24Isl4SxIpSFiXKqORgmSlGoaWi6EtTUaxWE1BkFgo3FKoah8+oLVb7+3LqKoesH9KY5K/M1DMtiHCjCum3bfPuldZJccn3b43AQULENOs0KK/NV4lQQq4x7wrjAtCwc22aubXJmpUUYZUg0FtsucSrJhYZmmKS5zrX7Hn/15gFBlFNxTKoVl2++uMZcu0FeCEVclznLc1VWF1vc21fui45t0GnWCR5y5S4wZteT6ybE2YPDa6VSoVr94EZqQYDjPBh0Sc1ipxcy8RXx86mznS+8KFmaq5NkPlVXUkiNy2fmqDoWc+0G1apDFVhbKhhMVKGxtlj7ue/5j8JoGvP69SOiNKdVc3j1+ZUZAaEoBAeDgKKQjP2ELBdEaY6UGoapIXONrCRYTv0U19RJcyVEQEq6o6iM/ZVkRUGRCvxCpVNomqZu7IcgJMhyiJBmOWkGjmNSr9iIslmX54J++doodXkZJ6hpMJK0qjYSyIXEtU2adYvBJCmjf13evzfg6v0Bc3WXKM6Z+El5/yuhmC5AaDAch2i6hs7jka5CqmLYNnUOegFxUqBrYJqCwVSyvlhjMEnYOfTojUJWF2qYpsZeL6I/iTkchHz7xVUunWkznCbkZdPUT0rSey5Yma8y9hK2j3xFei6TDIIoYziJefpsB7MU20WJImqfWWnw/MX5WeEthORwEOBHGQttl7mmOpEdu4SBEjottl0cy6TTdHBtk0+axvR5oFG1ObvSoDdSgqCf2wX0VwjLczUG3nj2uWlqKs2iKCgK5V7k2sqpFqmR5QWHQcKf/t0ml9Y7rC3W6Y18/vSH9/HjjDjKCHWNii0pioL7exN+9M4BQZxh6EqM9dyFOYZegqlrVKqWStfw49JtJ2MvydnvqWt4daHG/+53niLLCt6/PyBJcoIo5/XrXQ76/iz+2rZ1KrZBuyRfK2c5FSXqh2oYKApJJtQwy9FNslzyjacXee3qYblGSRZ0TZG2NI120+XV51YJ4hTHMljsuPzdO3v88J09gigjF5I7uyOOhgF+kFFxTXRdEaGiJMePlfvZ/iDkx+/t49om9arFxfU29YoafpiGxnzLZXWhxpu3eliWQRjl9CYTHFvnsBfQqDksdqr0xiGGodOq23SHIb1xxPpijWmQMglS6sLCtiRjP2U4jZFCPta0Vc6gagATxBm7XY+tQ480LfDCFNsyaNQdomE4+5n5doXdI69sPquBa3cYUAhFFgdFdBtNYpY6lVms66O4sTnke2/s4AcpvXHEhTUlAi1yQZIXyh2s53PQ12hWHzQJwjhH1zV1DQJokssbTc4sNz90IDpXrkvHg7vjdWy+VXnMYfQUnwz7g5BJqO4FL0zIC0XQmhSPNws+C+RCYhSCOFU1unLzVU2k4SQCqYZBZ5aUo9raYp0bW0PGXlKKNFKEpq5R29LL1C+JbZkstNT+FUQZC61PNlSvV6xZAs4xsrzg5taIMM6xLJ2zy42PvL6O99e0dH9+dBjTabisL9UZTmIqjsn6kiJXemHKYBLj2gbLc9XHBCOrCzV2jtRQs91wZvXYo/jq00t0Gg5hnHNupTG7P05xip8VXkkmAE4QWL5IXD7TBpSz5pcpuD/FKX4VUHUsWnWbMM6ouhY3tkbc2p7MCPfx8PGhh0SJM0GR/4Qw2euH6JrqCYxLBzzJSfMTJBSFItpLCUiJZepkhcQyNPwwwTZNdd7XNSzLJCvJd1GSk5ZDqDQDP8yRgGGAoekc9BTBznWVQ6yUMBwHyvlfE+iajoZKD9GFXhI9dIIoxTQNVuZdto98sky5TvcnMbd2xliGwfpyjVZViQ+OzS7yXBHGpBRsHU6RQhk3fPXZRe7tjWk3KkTJA/JWlglqrgGoRINW3UJKDYGkUbFOEOJv7YxmjmnHZKM4KXBtg62D6awGfv36Ibtdn6KQ2JbBcxfmP5H4brFd4aDv44UZL19Z+MREpod7B71RxLPn5z5Rv2CpU2WxXUHTNA4HwUxQAiddbTVNY2VeiXAPB8FMwAHM3Ao/CEH04HUWQhIn+amI42PQqNpcXG8RJhmZAEPTSB9qcpuGei3D5NEO2IcjL9NoHFMnSXPSNEfTOZFo+zCyXJLmBZpWYGiQGhm51JQTZymmitOcrQMfy4QkFxSFQEpBnOU4tolj6ZxbblKxdfqTBMvSKQpJXhS8fv2IvFC/w49yHNsgzQoMTa0t/UlQCqIgzQTDaYJh6sRZjsRkca5CVggW2w7tpsPUj7FNg0DPSpKwalgmScFcy+VoGDL2EtYWU+Zbqn5Kc0WUCOOMQsiZ+2er7vC1Z5ZnpJbNgykH/QDTUA7lZ1fU+WM4jcvegrrnP64mqlUszq022T2a8t7dAaCxeeDx3a9tfGiSzSlO8auOMFZmVkrcqPH2zR4HvQDT1FWS1TTizs6YoafWgHOrDZo1h3ZdiSr9SCVE2KbB/f0JSVIQxwVelNKuO2iaznMX5+k0Xa7eHbB1MGU4jXn63BznlpvcuD9CEyptvpCS/iRiGqr0Yh1lEnd5o8Nc0+Gn146YBkpYWhSKZK72QNVDjTNlqOfYhlor05xWxWG/5+GF2YzMk2UFiVA1mIaGnNHYIM1UClBq5SSJmpPlhSBJHoj3olQQp6oe0PUydKt0KR8HCZapU0jBsb+Q1DU2Fuv0RgGurbOx3GDqpyRZwV+9sU13FLHb9UmzgjDNKSRoUtVYUZxTr1gIKZkGMcNJTNW1aFRtojTn1s6YIEwZ+wnDqXJf9UOVruHYxkw4ous6z52fmyWpPFr7HBPWP2iJHU1j+hOV7HBmufGZXn8fh+VOhauAYxs4GL+UJPLFuSq3d8ezz1fmVC143BN8FKsLtRmxfqFdmc2+9vs+N7dGjKcxlqWTFYJ61WG+VWHnyFOzwVLAffXegKGX4IXKGLFZk6wv1NjreRSl4Zwfpry/OWJ1vkqzNFEscgGa5NrmENvUMQy9FLZK4iznrRtdDF0jiPMTRHRdU2Z2SjQryZKCsOuj6zqOrZPkkjRVNdnD5ycNNaPMk4KDYYhtKLM59TiCJEt57doBnbrL2EuJkpQ0FSQJPMKTRx4/XiEYegnzrQqL7QrTqEwsFIIwlhwOQnoTZajlBQmFgGmYEEY5YZxiGAaWYdAbhbx8ZZHlToU7QUpUinCFUHXcfs+nN454/fohR8OAVs3GtszZnHuu5apealaw2/MpioJXnlnma88ss3kwVYlkmrr2p0HK8lyVQkiadYdzK4/fh0fDkImv1p+nz3VO/N80SHn/bo8gzqm5Ji9eXvzY5D4pJfv9B4Sz3ihiY6nxRJIaP2s8c36eH7y9R14IDEPjzRtH+FHG+lKD3jBi7MdoQJJk6jrUyzQYoUQ4j5okQiniyD+5mdSjKITiEBRCJ8tUvSxmpEeJbWoMxzFplivDRl1X/INSPCJSyf29CRqwuTchjLPZbNPUDSTqHh77CedWG7x5szfr079+/YjfeHkdXdeIk5wwzmhULcIkxwtyJn7K2kKdiqPEnI/uP1M/LRPRFV/pOKF+baFGdxRRdUyunOl8ZnP6olBCRyEky3PVDzfyPMUpfk5UHZPvfGWdt2/10DW4fKbF1bsDJr5Kn6u5BttHap2VqD19GmYkScZiyyXNbHolCdsyoXjEoP7hXmOc5BTlXDMvUrVHo3gDZmnkcrym+0F60iARSNMCTQPDMCgKSW8ckucqHXZlvkqrrkSFtYrJ+/cG3NkdY+gG9arOUdkzTYAfvnvAlTNKRJikCRXboF518KOEM8sNZZ7Mg9TTh/cU21ZJIHGiehdL7QrbR1PSTFCxDX7zq2vUXJt2w8HUNd643iUuU07evzPg//KPXuD+wRTXMak6Bv/x+/eI0hzbNFieq7B5MFXGeVWblXmVDlIIlRbUqNnc2hmhaxpPn+swnMQzTsbbt3ozo5eikLx3ZzCb39/cHrHb9fHL9ABD11hfqmNZBkbJWXz4xT6uAT4phFAmNFXX/FB+wifFx81if9mwMl/jbqSMkGoVa1YDfxgW2hWVFllyJlcXvhxjt58Hqws1ojhXnBtd5+lz7S/7KX1q2NbjdeYvg4gzi77sZ/DpkT3Syx55T54o6LPCE10p/vN//s/5oz/6I/7Nv/k31Go1/tW/+lcA/PEf/zHf/e53+Z3f+R3SNOV3f/d3SdMU3/f5zd/8Tf7hP/yH/JN/8k++lOec5WIm4AClUPOjdOZm4QUpu0cBf/fePn6k1JtFITm70mSvdCBZma9iPWTtNJhE9CcRuq5hGzq2beC6D97aFy4tUKtYLHYqbB965IUkywWVpktvFCElBFHCYJIwGMekuZzt70kGjq1jmrpyoErV4AapkZfNgWOG9dhXH0hU0bbTVcPbVs1GSEFWqJi1umtRqxhESU78yHAqzQSOriOQLM6pmDHTEDi2yXASnWiE5IUaWBlagW0ZOJbqYFZskyQTZbNQUgjB4SAky1WkmypYJGkm8SIN1zFpVm0W2hVc28DQILF0Kq6KgTxuDNerisDq2iZ5IZTopmrPyG/X9ibc2hmx1KnyW6+sU3GVY8+N+4NZMbXX9XEsg4Zr4ccZnYaNH+VcvTcgjDO2jzxqrkWr5vDDd1QDpFI+v/m2y3yrSpwWOLbBV59eIkoy9noBFVs5LlQcWzmUpTm3d8Z4YTZz1bu5NeKbL64BcGdnPLsOR9NYOXk0lJPRfKvCykKNO7sjDnohtmXwwqUHse8bS3WCSB2o2w3nA1M4hBBsHXpMgxSzbNpapk6YqAM0qKHvft/n3BdMEv/WS+tUbnUJo5RO06VWsek0nBNu0Zc22izPZ+ja5x/bemtnxFFJ8p0GKetLdS6X7o139yaMvYRCKNFNrWIx13QZeTFC6BgVjYVOBSnAMjV6o5giK8gKgWvppKk6RFUrpnLRy9QNZKAa66YjiNKTTZzjD/NcyemtQhE4/CgjLt3//ShF0zQcwwRNkuRqqKAB/SzGsUHXDURekORqPRBCcjCIZu73RS7Ii9Jt6iEICVrpfFFINZiwDMhKTZFO6RQC5EJQputSSMhSldqzd+SjmwZVV90XYawaOWGinALTtODqvQFff3YZ29Jp1RyG06R8HXWunGlzdqXJyOvRLt347u2q2OKlObX+xmnBQttmqV3h1s4IISWvvX9Afxzx6nMrtBsOmwdTbm2P6I/V+vxrz69waaM9OzTFSc72kcfUr9IdRcy3XM4sN3jm/NxDQrmfH9MgZa/rYxgaZ5cbH9skWpmvzYgcp/jkcOyThb6UECU5WS5wbRVHn6Qq2cUydTYPPMZ+wshL2D70mAQpfpjSH0eqySFB5hLd0cjR0DUdr3RqynV1T3l+iqnpmKZGrWKTZAVrizXeud1j56ZHmgnqFZMLay0KIfnJ1QMurbdAKteJa1tDFtsV1hZr3NxSTmPNqs1Xrizy3p0BB8MA01DXYs21lGhL1zhO30xSgZA5FcfgL97cRZRrS5orsvhc02Xsxfzo3QNME9YXmxyMVaSrF6R0x5FyFRVwMAgRYkAYpzxzpk2zatMbh1imoSLCHYMbm2qPXV+scWNrRF5Iziw1KIRgsVNhbaEBCKqOhVO63IVxzl4/4HAYMPJTxn6MRBDGGfvdgCDKSNKco1HEQqvCUrsCZQrQbm/Kfs8jSHLmGs4JZyLVSDZAwnCihLhRrOJl81zSqTt8+6V1vvfGNpqmcflMi++8vM7bt7ocDkJMQyNOlEsGQKfl0K659MYhb93qcWN7xHdeXv/AYeWd3TGDspkmhGQwjnjqXIeN5QYX11rsHHkUQjWIj4Yh9aqjHMHKZKGzKw2CKGN5vsrqQuMjHe1WF+r8+ktrbB1O6TQcXrq88HPcJacANZRyTBUZfmtrQJopcXQuJD/76OSjfh8kmcSSyom6kOAYD5x1CgRhlNOfRLzy9BLdYUB3qM4H/UlMbxQy9hPipGCu6bK6WOVwEGJoGs2ag6nDYsflwlqb9+8NuLE5xHVMFjsVdd5wzBNuiy9dWeDOzggvzB5cs12PzYMpmwdT+qOI1YUaz1+c5ztfWf/Av2nr8AGhcTCJePHSwmPOJeuLddYfGj5HSc6NzeGs5sly8dj9tbpQo1W3ywbxyfpv4ifs9wK1l640fikH+af48rBfEqHnW+6XJgo6v9rENFStcdAPvrREkFOc4lcBnbo60wflGXUaJCSZQNMoXag/GIUojWVc1Zva6ysxgaZryozlYwoJTYOsgPzYROF4KGgpk5FEg0bFAkvHsgxGfkp5FDjh/yByyHjIkS/OmQQJSB1dk9SrFklaoGsajmkSZcqp2dAMNvc8oixHQ5EkOo0KSaZI17tHHrlQRMYszzm31iLPBVXX4tlzc0z8BNsx6I9i4jhXhC8p+e//yy1MU5khLLTcsoeizB02FpuY5ZD20kabd+8MkAKeOTc3S9DMCzETcADEac5Su4quK4FMED+YXEdJrgxgUO7Qw3HItfsDTEPn3GpzJmSoV23mWi6b+xNsy5gJbQDeudNnY6VJs/z9Z1ca3N4ZK1LHfPVED+rhgWsQKefSDxOZPv5+qzfv+GzvRxntuvOhiQJzDYeqY85STz5qgKiS+tT3Wab+uffNfllwab3FD97ZZ+zFJI8oLfJPoN141ClXSBCFINPAKPtypqHN3DYfxewsK0uConj4q2WfLVdnZccyqDrKTTIvwNQoSYKSSZCy2HKRIqY/imlUTbyiIB4XGLpGvWKrfrZtUJRJFdc3+yr1I6pQr9psLNWZ+ilDT7k4q5QfwfX7Q968oZKK55sO7bqt1hNXY/1CjeW5KhM/wYsUCVwIwUFfMtdwub8/4WgQIlHrS8212O+p5M9G1eLMcgMp4db2iDu7Y8Z+wtpCjXrFJssFlqmzPHdSTPtRRIPjfu1Cu8L24WR2jwZxxvJc9dTx8hS/8hhMIgalSUm7NHLYPJjww3f2kVIRV166vIBpqZTfLBd4YcaVsw7DaUyaFdzdHbN1MOH8aouvP7PIn/9kmyDKuLDWQgK2ZaJpOgudCpqm5gidhkOjavPenR739qfMNRyadYe7e2NcyyArBEGYzZJQozgnTjVcy2B1sc5CS4kg7+xO8MKMKMkJk6xMMVLOw8crp64rkpumQ8NVDsL9YVTWCWrdti2dtGQkWKZ8kJBU4mGidxBlqiYo5GOL/vGHx6MUy9To1G0KqdGqW1RsnYNBpJKaTZPN/QljXwlJoqRgeb6G5ydcuzsgTvNyjmogCzjmsxmmPksOO06XrlctJl5KUUhW5msUhUpiiJKckZ+QFQJTU73iZs1W+5mQaFJSr9ofSNwO44ybWw/6M3kh2Fh60J9Ji0L1xw2dM0uf7Fw69uLZfOXnMZ35+rMrpHnB9qHPmaU6rz6/8jM/1i8qfuMr62r/HIRcXGvxwsf0ejeWGsw1XYRUxiyg6uXdI59G1ebCepOjYUjVMXn63BxzTZeV+Rr3DyYEoeq7DycqWa9Vc4iTnCjJ0PUqZ1aaXL3TJ4gydEPNM9+/N6Bdd1lxDaZeiheneGGMrmkYpTmdFMrtP8kKHhkvogG1qhIeTfyELFeiD8vQSjG8csNGGqTxg/vZ1CnXomPiJITFyToJoDdKGE0S9VzQyuSzD37tcqFmmIamRCp398bKIFIHPzo2UdSQUgnE46QgFypVOU1VkkezanNza8DIS9ntenzjuRVWF+qz+eHxe+LHGaOuTxjn3NubYlk6nbrDq8+reuQrVxbQgO+XYoDDYcRf/XSHP/zdp3jx8gJXzrSZ+AlCKudzxzZnj/045MylWMjH+9lbBxN+dPWw5GTotJsVnn0kqeNRaJo2S/YByhnU/5+9P2uSLEnTM7FH9ey2m+8e+5qRe1ZldVd1V6O7UVgGGAwhQwFHhCOcIX8Ab3nDPwDe8mZ+AOdiRAgBZYYiQ2CwNtDd6GpU156VS2TsHu7hu+1mZ1dVXuhxC/fYMiIrt8iKVyQlMjzMzY8fO0fPp9/3Li8/ie7z4KhWjQKXH7y1XqVJuHy60ecnH+0ymuXEScHHdw7IC8hLu5832L2ZEIZSVdey+eykjc+LQkGhNIW0n5nA9hxcx87w7exfUBQKhMaV4LkOSWbQBtJMcW93QuS5NvlIazAC37X3VBg4+J5rOTONgLwiTztSzPcln9zrkxaKB/sTDocpC60AVRr2+zGXzrSf+AzaH8T0q332NCn5ztWl+R742vmQ188vPDZn+G1wxPMA6I1T3ruy9FwJm6/wCi8K15G8f20FR9pn5TuXF0lSNV9PkiyjCo9DCNgdzDBaoo3gwcGU8tjDrCie8YOw9ahbyZINti7IS5vqkWQlzchlY9+KONpP6EEdcQw9Y00Jp6lNHCqUw9pCZSSpNMIYbm4OKUtDKUp6w5MHViorlk5ya7ZaKs0Htw/Q2hrdvn5xkV/dOEAIyZXT1uT455/s4TiS0ys19gcxWVoiHUGrbs1cjvYIt7eGtBuhFWMOE5sOVj2WwsDFcx0rbnUdstwam6SZ5X8kueLGRo80K1lsh/zhO+uVsZ7m/FoTUe1ZpBBM4wIpDIejjChwiAL3oRijEm7HWTHvj0rbPAYDjbqH40i6TdsnrEceSTaei0BOrzyb66O15t6ONX05t1rn3/9si4NBghDww3dPfe4Z6KOz2Lywya/jWU6rbvtB3zZRx0IrpHZliaLU1EPvuWqYl91Itz+OGU5TykoUubE7/uxv+oZB6cebsVnx5RhufpV4GbNEHu15N17SWcP24ZTB2Kagn1ttfq79zEst4rh06RL/7J/9s8e+/k//6T+d/7/v+/zFX/zFV3lYz4TrCOt6V21Ew8ChUbOO70WhaTZ8htN07sSptOHW5vBEQb/bi3n36hJZodg9nM7dE8bTjLWlBs3IYzBO2T6YsrpgUyEun+nYgeWNA35+c592w0M6go8/7ZHkBUmqCH352BBpPMlQgOsojIaEnKLkmF/M4zgS2+clgKGcZGDsxs13HXrjksFUIEzlBnDsjQoNolCUymGW5hgtiBP1xAVUCruRizNNqyZ5+/Iio2nOJLGxrWmucB0bY1oLrQtAf5KR5CWuBGUEvpQstUPitGS5GwLWrWsS5zYaXmuMaeA4gk4jRGCdvnf7Mz6+O6AeeXRbAaNpTlEaaoHgcJjw0d0+WV7yk492GUwy3n9tmVrkzd3tk1zRbQZs7c8YTlPu781oRy6TWU6eq/nQeXXBEvRPLzeohdbxbLEdYoCr5zpEgYvScG97VBGDrVtHmlunsywrCQIX1xGsLNTJC8Xm/oTbD4YstiKktAKPvUFsHYw8B79yht7cm3IwSHCk4NRyfV5IOI7EdSR5oXClIMutiOb4AvTnv3wwFx3VQ5c/eOeUdVJ6RPH7JAeILxu+K/n+m5/dfH16g+qLxYkoU/Pw7/1xyp0HI1xXsteP6Q0ShDS8drZDf5wymRXEaUGea66e7TCeZewcJvjV+tIfZ/iuxHcl+8MZeWbm94wN6jC06yGlSqp79ZHjqo4nyRTDWUrgOkgJcV5WpGtDnFgncZuEY79PYSgS8GSJ64LStpFpsNHEs6S0x1CWOI5nEzweWU2ON161fvje8+OiGjo/YchdlIa0KHC0dRBU2sYuFxVxBG03kxu744r47rHcifBdSRi6nFtr8dOP9jgcpnSbPnFW8uBghjIG6djr+fLpDp1mwBvnO/yLH2/wwc0DhpOUwHfY68WkWcl/+cMLTGIbmX70OW/uTTi31iIKrGt5mluyyrAaWqd5ySwpqkjph8OGrb0JH97p4TqCdy4vsT9IyArFSjf6zAK/VJob9wfz6yorFO9cfnpjPs1Le987grWF+pfWKC1KG5P9bXLrnMQni3ptbILGdm/G9uGUvDREoYNEMolzdnpTprMcbRTTmXWLakYuyhiEss5HQoDnCYpSsD+Iq5QdMNXneTCMMcaQlZDmik4rIEkUG9tj6zJrbExxqRSjWYHnSA6HiY1YLkoOejFaaTqNkB++s8rr5xe4/WBMoQx7gxlZrlCOJC8V1+/18T2Bh4srBXHlUFMqw+b+hKLQlshTOerEacntByOEMBghGI5TJrOStCjZPZxV7jzHzpeGWZpTFIre1Ion66GL5zs2ujwpyIqS/jjB8wTjqXXvatR83n99hdfPL7CxO2JrL+H8WoN7uxNKZYkgW7tj0ioJzBjD1v6UySzn59f3iDPbHGokBYvNgO9eWyYKPf71TzYYTXIcCbOs5MJa87G6Z3+YcHqtTS20ArtuM2QcZ0RVtHmSFnPS1l4/4V/85R2CwOHsSsPGu0Ze1Ui24lrXFSil8T3rPvLh7d5jJPOi1NQjacl+VZ1z8VSLH7y9zqnFGoNJxtpCjYOhXScC3yEMJT/9eB9XCkqlWe7W7HNQUAlWn41Lp9tcOt1mNM349c1DtDGcXW2y0v163OJfdkSBy8Fwxv4gxghhnWh/C+er54HBCs2UMdZ1xnXwPAchLJH09HKDtYUaRakQQjKuUl7SrCAtFCudiMCTCOnw+2/YGurPfrbJdm/K2kKdPLfOcf1xSui7aG34n//DLf7g7TU8z+Hqmc5cFDGNC967ukJZalxXMksL9gfWRXdr30b8JlnJra0htdAhLw3ri3XOr9vn3WCScmtriBSCZs236XlZ+ZnDlTgtTtSdxx2kj+NJJMSiVHNypf275q1Li4+97mm4tzPibz7eAw3vv7HMlTPdz/6mV/idwk7lTLW+9PWJaD3X4bVzHT6+2+ejO71XIo5XeIUvEZsHY0LfAWNwHdjcn3Kk3Zg+5fl0hF99ukeaK+qhR6FL4kRV5i/P/plKPb2Hlx23OhIFRhuyTCF5LLxzPvA9Dm1g7zBBSHAknFttkXslQgr7XqXBcazQe5Y+PNB7O2P+5P2zqFKz25+eOI5JbAeUaV5SD1wOBjF7g4TAs855g0mC0jD1JKEvCQM7sD4cJlw520VpzepCjdWlGtNZQS1yqQUeyx2/EmEYPrhzyGCYstgNibOCnYMZCDiz3MDzJL1hytpSjaVOODcjuXK2wyw5ZJbkNCKXOFNz05ZSDXnz4mJ1vi0RvhH5CAH3d8ccfchKGfqjZC7isAkBK2htcBy7V+yPU2qBRy10GU2yhySWz+lE+zwmDb7v8g9/eJ6bmyOiwOXKmacPa8+uNqmFLnmhWWiHrxxynxNh4LK9PwHMib3w8+LRe9hg++hFrslzjesJ8uK321eUyhAJ2zMstUFiScpaGZKyRAqPw1FCf5zMXWuTjCqNQ6ONZpIUtGse59aajOOC/ihGlba3kaYlv//mKsZAmpbUB9ZpdxwXbO/HzLICo0uyoqQsFb/35hpvX1liqR1yUJlAFMrQG1uSVrPmMY1zbm0N6YySyjjDrotnV5pM4oJZYv/zPYfQd7n9YERvmHAwSjkcJqwu1GjWfYwx3N+dcDC0vfurZztPFdfe3x1za3PI9sGU0SwjLTWH/YRmza96sr+7jnGv8AoAO4dT/uxnm1XKD/zhu2ucXm7y0e3evI44HCbWtCr0+N61FfYHMWdWmlw90+Xu9oiDYcJgnJFHiv1BzEd3DulPMgLP4faDEc26x3euLvHp/QHDsZwLEBo1nzvbI9JMYbTm9oMh47hAa0O3YQUKSmukrOYLGtAGVZbc2x6S5QVriw3iOGM8zeezCCnKE479YHuZSaoJPNhPk8fWdoOts47Ow5GA1pXVfObofYBpagnbG7tjhtPsM58TRWm4vzcjChzS1JqVdRvWiTwvcnZ69nVCwGCS0aj71WzIEPgOcVqSpIalTsg0KSiUNcVbbIecXWtwOEpoN3zu7YxtHx/DcJqSpAU7/RjXkYSeRJfSphsELo0osEkhwGI3sgkIxeOzw1lSnqgnj9e/Sms2d6dzsejG7oQ/fvap4HAY82//5j5KGXqjhKtnO3z32srndrT94Tun+eE7n+tbvzG4tzPmcJgQ+g5XnvA8+9P3z574e56XxJkVUUp5sq7rjxJ+fn0fZQzvXVlmfalOnivKyvztzYtLXDpdsr5Ypyg1vXFKpK3xUpEr/uMvN5klBfd3pzTqHgLrFu55Eimg0wjICisAP9oPRJHk3Gqbn328i+86JJmiVAapwBH2/ike3agAvgNR5LHSqVWCDY3RhlKDFAZVgnAUSW77o4/ez+bYhfmsisqKMx5dEZ6OODfEecZoYlPM/Kp3ahN1FLPY7qk816XT9HEqUa7nCrK8pDfJEMDeIOHf/uQ+//f/y+/TbYUsNK24plSa3ijh3s6YOCnwPInnCLqtgPu7Ey6d6uL7Dt+9tsKvbx6QZjZJfTTN+M2tQ/74u6eJs5KfX9+jUIZ3ryzN9zVPgjGCxVaIlBB47mMzvp3D2ZwDkxWa7YPpZ4o4AK6e7XBvZ4wxhnOrrS/U6O5lweEw5m8+3p1fWj9hhx997yxnVpqMpxkPDmakaYERMJ6VONLO3Y9uBzV/eBh7r3wFHIzj83zPseIO0hLpSPsspkp7qgaeUlhvWA3EcYHyDdrY9cSREAUOpbKmcvXIoygN331tmesbAwTwxsUFXFfO0zt6w4TxLLezwsij0wyoRx5vXVwk8Bz+84c73N0eUQs9/vS7p2k3AmaJTe1bbEdIR/LWpcX5mvZF46hfAFYwnxWK2pck4jDGkOUKr0oueoWXH1ob7mxbIVAttCkxT+u/KG0qo4IGQlgzwCj0ePfKMkLAf/rgwbz+MgbSRIO0dapS4oVmlI60Jo8GECVIoZhVW+AiL/jpJ7v0xvbabwRPWMur2lgZwzjOKZWxImZjyApFVuoqqVSTF2r+THnSEbquwNPWkPpwlBEnlrOnlK1VVro1298wghv3h/QmGa4U3N7skaYlhdY4RrKxM8b3XRxpT9And/toA3mpWe1GnFltcm/bktQvrLf45c0D+iOb5Om6kmlakhYKI+Dug/E8eaM/znhwOOP18/Y5WJSKu1sjRrPC1sydkFtbQwZjKxD9R394kfeuLrPfj1lZqJFWRs1ghXoX1lsstu3zvx55nFlpzFNGL55q8dq5Lpt7E7rNkPPrLfJSEyc5jcifm9wc4c9+tsVuz86lfhnYeuvo+vjg1uHnFnE8Oovd3JvOr9tZYk1DVha+ffyC0Hd53gATrQ03twb0hintesC1C90v5Rn0ZeLO1pg4LecC3AeVUd3LhOv3dh772iSOv4Yj+WLxGTq8byQ8zybBHyEKXj4Rx2CccmNjwDQpbHiA/HzJoi+1iONlhKhisW5sDBBS8Nq5LkoZ0kxTKk2r4eM5gl/eOGCWFLiuZGWhNk/kAOtA4LsOr53rkmYlWd5nlpYUheKgPyOOPM6uNfnpx7vc3hrRqLn86PfOUQ9dfv7pHvuD2MbRIhhNE3zfJckVSf741PfoK0dk6aPotBfZ9x19b6mZx4w5ksccMo6gtSHyBHFmCc5FWSKkFQ6o442VYweRlzaWbaldIy905TpmUEpTqirWTQukLK1a14CQBiFcxhUZ/qefHKDKklY9sA5cocTBupG2GoppknP1bAcpBTc2B3Savm2mGkvIi3ybLlKWmuv3+tzcHBAFLtoYfnnzYO4S7DmSWuAyS63zskSQpCWTWY7SmmbNIy9sI9mRdiDdafg0az6DSc5gknP1XIf+KKU3ShHCEiyPSN83NwcMxhm10GEwSSmrhtkP313nX/31Pe5uj5nEGYvtGudWG8SpJZN/ujGgUfPYPZzRavikmZo7E97bGfPmxUXu7024tz2uxEgOP/14j+WFCYutkDcuWneCstRzAQfALC1pNwJ8z2G5G9EbJcSpVSSvLX77CrQXxeXTHYYTS8Zt1DxOLzfojRJub43I8pKtvZidXsI0ycnyks3dCa4jyEusQ5yAn1/fRwpLgM5yRV7qyj3PCiYkNgXneMGc5BpInyjgOA5tbGJQ5DsIKShLRbcdMRonFAqy8nG3G6gEWQqo3PqOa1XitCQGJOqF1pLngQHajZBZqmySj+tgspKsNBVRRlOLPOqhy87hjFbNt4OMmnX5m8xyMLDbm7G1P2FjZ8xgkiGFJXostiLajYDLp9ts7s+sQ/kso1eJZpq1gN3ejEmc02mESCFQxuA4NvVHSsHVsx229if0RwmlMuz2YyLfnW9YnGON8iwv+avfbJPliiy3jgnvX1sFrKCv0wxp1Z++Iyirje7D93s6u0cp63p4tBmOk5IrZzu/xafxZOwcTvmbj/dQSnP1XPeZopKXCYNRduLvRQk37g+JjxGV0rTE8xw7FND2Xkj3ZxhtcFxo11tEvsRzXZRS+J5r05UchcAOKY73UWqRT3+UUmqNKw15oUjP5dbtTUIgXQplmxyOEHSbPh/f6/PRnT6eK5jGJVmh8H3JeFby8b0BShlaDZ8kU3NShsbeE55nXSCEtEJM33dJi5KdXmxTco6tBWWpiSksYcxAnCoORwlxJWB6Ug/+qKGZ5AW9UUlWCRLzUhP6lnA+nGZkhcJzJKNJSlaUfHqvz+3NIb/8dK+qZ0pWOnZYaBA4jsQUunLX1AzHGX/1wTY7vZhS2SFpsl2y349Z7Ub83pvrJGmJ6wiszuzJlkW9YcoszhFYx+BZWpAXmlro8sbFBX756T4bO9b1YjTLuNkZsLpQ5/KZFn/y3bPcfTCyn40jObcW0W0G9Ib2OlJaM5ikXN/os7Zg07IOBgl3d0Zs7s2QUuJ7hsB3Obfe5J3LS9YtS1vBiE07K6tBsa0z6qFLFLiMxhmdZsBiO3whweKdB6P5+nBvZ0y3+Yqw9XlQKMOppQajSU7uKIrncN39bSGxItzh2A4LHSnpNj1Wum0cR6K04Rc39rm1NSLwHdo1n8E4JfBctNaM44LQc2g2HM6vt/iXf3UPgU2jGYxTBtOUMHAZTTPywtYgpdLkpcZzHa5v9OfPtqOByFHDMMsV7XpgBzWOQGCIs4LeOGHncMpyp8atzSFSClp1n5v3h2SV4Jkl6LZC28x+MKLbDJ6aLFOPrPvJ0TOx1Xj+OODi0WfpC35of/2bnfk+7icf7nJhrf1Yw/QVfrexVTU4T33NsclvXVrk47t9PrzT4+//4PzXeiyv8ArfZmSFYuvQCqZdFxAGKexz4bMIe/1xhsHMxYgGS857Wn/tCJ+V0jE/tiqlQ4gn79WfZsRxZKCmNBwM07kQbDiJOb/eJM01cZIySx/meRfK1gVJXhIF3omSWynD1t4UZQyHw4SyVBgjycoSVWqUOuoxaLYOp2S5xnclb15cIPActJZIIWjVfASCbjPgN3cO2TmYYYC9XsLNjQGjuKDdCLh0qkmv2s/5rkM9zRlObALpW5e6TJMC15GsdCImSU6WKVynxHUF0zjHceSJutgmmao5YTHw3Hn94LsOCy3rMh54DvXI4/bWkFlacGa1xZ2t4fw8B77kcJSgtOHaue4JIsZRsidY45dHU8Q+D2qhz3tXl5/rtb+Ny/XvIuI054NbPfYGMVn+xbOpFKB+SwGHEJZEUVSmKHmpMMa63aqKZREFDuNZTjpfK45MOh6uM67UqIoYGHguWW5wKm5fb5IyjUtCXzKYZhgDr13o8q/+eoNZWpBlCruLV+yXKfv9mLWFOvuDhINhQm+Y0qz7tpc3yugNY+JMz0nKQTUk6w0T/Eq4Xo9s4vWf/3KTojRMZhmuYy2CpQvn11pMZjn3dmza3zTO2R/ETOOcP6wSrR/Fra0BP72+z/b+mMGkwPckzbqPzASr3Rrn1l58SPcKr/Btwr3tsU0FzUu2DmY8OJxy5UyH4hFHprWlGsOJFUoutENev7CA7zrsD2IOBnHVZyvZ68c40hpdteoejchjMEpxpCRJCuIsI80KhhNLnpnOckqtyUtbR1Rm4OwPZ/iuwPMcKDQabUnd2N5nUcJBPyFONcNJcsLB8mm1lIHKffQp/24evi4vbP8wCCVx+vg3FAr2++lzz0sMEGdWvDZNS1q1gGlczg21jn6+AFxpDTtqkQfV2u67DkvdiGlaMI1tXRMGHjfuDykLTZYXzBLrKNys+WzsjAl9CdqQltboKy81jmNwhMc7VxatoMOTdJsh//6n95nGVmDyt947Pa+VmrWT/Zl2/aFDc5ZXhN/KZTgvPmN4he1RKmXY68/Y69vZ42CS8Q/+4DxLnd+9+eNwkrHft+SjOC3Z3Jtw9ezTzUR2ezP+4y+2KEvNYjvi73//3Ime1Z/9bJPtw5lN7B0k/PDddQ6HKf1Jiu84tBs+F0+3WelEFErPa16tDXd2RoBNH3YcwzQuaNY9orCaaZSK/tjORgul8V1rGJfnVhCpq5770f111KYXshJzVEuK71rXcUdKMLB9MEYDSfbwbspLy0sQUlAUmkf8LOemdl8mSmNTEYsix/MqY5/C7muMASfPibOCVs3HdQQL7YBpkpMXJVJKdg6nCAT/j//xb3j7yhLfubrM+lKDn3y0w34v5vaDIXmpSbOSdt3nN7d73N+dcGNrxH/7916znARXMppmTGc5cV5S/lpxd2eEUlbgFfouv/h0n3OrzSemGCilSfKCnV5cJSMUdJsBh8OY8cz+/3K3RrvukxWawHdY6T7fvqFZ8zlXJae1X6Bv+23CJC5OXIdxUtAbJXx4u8cvPt1jGmfMUrv+agMOT38+fRUCjsd+prL3UmkM6tgz31ClU0mJqe49YyxvoSytGakjBVIIpJB4LjRqLlLAQidgbaHB+fUWoe+wtlhnMLHpnHmprLmT61ALXR4cTFFK84O31gkDl629Cbc2hwBMZjk/+2SfC6dac6Js4DkElcjtaeRZre1sTwpBu/F4osBRGl+r7j/xPVoNf578cfznfdFQ2nD9Xt9yyxzJtfPdL6RH8ApfLw5HycPkmLhg+2A6Nzt7FEpp9ntTfvLxHmlWcmq5QZorIt+lXvMw5uSDTxvgSFT8HK67risoS4OU1mj5qEIzMBdwAKQFbB8+rGfTp5naCyvwynMNQtj1QFvDzDTTlFoTeA5FoXgGtYVuM2RSiRTu747ojW2fYZYKDDCNy0qooukPZxyOMhxpTbfTSjyq0LYvK+wcUDu2bp6lZWVAUfCdq8t0q1SRhWbARxt9Dge27+D7ksHYGismmaRZ8+wcVlvhReg7xFmBVoZ65DFNS2sMKmASZ0zjwqb1Kbi+0ee/+luX8BzbYxiMU7pNy11s1X3qNY87D0YYDSvdiJVu7YThYi305v26wTjlf/3LO4xmGSvdGv/1n16eC3vzvJwLOMAmAfu+NfEEfisT1kdnsYEnTzyrXnS++m3ETm/Gr28cWtNsR+J7kqvnXi7zP8+3JspHK0v5aHH9EqARhcDs5BfLz95/vsIXj/wR5ckszp78wm8w+uOUjd0JecVjazWCVyKOlwUPDqbk1SK2czjj4qk233ltGaUt0akoFetLdR7sT6mFHm9eXKBVD2zzE0vIt24xDkpr7u+NKyJmyamaS5IV7Pdirm/0SYuSZhTwyb0+F9dafLwxsEXcIEHYWgA3/+ojgZ42YBaAdATDaUle2IaddaTQNCOvOkeSJLMiB61tsybPNfd3p+z1YoSwzT51rOuSV+kheWnmMXHW4VyilEYpzXCcIKUlbCaZ/flKG+qhdQFXyrDSrVmBQ1qwc5iglObOgxFaKTb2ZkhhC5L3XlsmyWyUfTPy0AbOrDTAwHCa02z4LLoOWT5CSPtgrkcOjnBoNTyEFGxsj7i/O2a5W7OOgqOUKPKIfJeDQcLBIGE8y3Ck5L4zmRdktvjK8ByHC+stGnUP33X4xfU9/uajXWqRS14o7mwPCXw5dzEOfbt5bNV9S0g9RvpvRD63t0ZMYutmEKclzZpHUcVjZYVirx9zdrWJ61qRylH8pO8/dAt0K0eDo5j6b1tU2ufBykKNP3h7nVGcsbs/5eN7PRqRjzbWBSLPFT/9ZJ9pklMUGoQtfo02TOOMWuQznGaMZ7m9lrV1czpeJz2tAZk85+BYaeuYcuRuEyQJCIE2hmd9gnZT9fSf8UWUco8KwhwJ272pVWcKiRSGOC3teRG2wdsIPSapTb3pDVO01qhSE/qSWVLSqHlV2okdbAynGZOkQFS/bRjYjcvHd3scDBIi3zaTlLYNUgNcvzug3bQJAVv7U5p1nytnOjhS4EiH5W6Nw6G9p0fTjDgtqjhoqB1zxo8zS2Q/GMSUypJ1Lp/O5s0i/RlsnMB3aDV8xpVz6LMaptkxNwOAcfz0Z8NgnLKxO0YguHCq9cTm1dPwk49252T9D24ecn6t9UwhysuCafq4rnkcnyz0bcSw3ZymeYYyYKr7qsxhc29MPfL43/3RRe7ujknSgmlSMJrm1j2q+ritqAiKPCcrFI4jkI6gKBWztKRT85jlqnLZ93AdyTROubM95tbWiLJUuNIlyQs2963QwpHWGTTO9FwAcPwenaYKmVmBRCPy7NChWuefdB0qA46xz8SiLKvkDUNZiTqe1EQ+epuiPLpv7XEpY5uQWaZxPUs4nyUZ62WD/d0Jk1nBJMm4fX8EElRpGI9TtBEopXBcgdF2Azmt3PcOBjYhxXdl5axrEELw4GCGdByaNY+d3gyBoBa4XHiC48TBIOE//Wqb6xt9ZnHBNMmph7ZZO57mDCvX3FJr8kIziXM816H/ccrF9Q63H4zs0NR3OLvaYH2pwVIn5IPbPbRSvP/6GuNpzmSW8+7VZTb3JmBsMzwKHMLAJ/RctIaDQcy/++l9krQgrYY9C20fENQDz7qReA5CCNotn1ol6HgR6OONPPPI31/hueEIwTQt2B/Gc2eTLxsaSFI7eHeqosAYqEUucVKS5SXNus94liNiWOqE/ME76+wcznhwMGWa5Cht3cJvbw5J0sI2Oj2JKm2D03HsoKU/TtHa0GkERIGDMobBOGOpY58/aV5SjzwEtlHaaQaEgct4ZsWQv7ixXw11faQQjOOcMHBPNBSXOiFpbkVoS+2Qf/uT++SlXfP+9LtnOPOETXHou7x5cYHBJCP0necmHsZpwe2tIduHU6LApdsMn3v4CDaS+PgaadPLNFZa8wqvYHF/t4qt/poJf29fWuKf//ubfHin97Uexyu8wrcFO4dTHhxMWepEXFh/WEtu700ZjlO0nVPSrHlzotRReubTUD7pH7+EkuxFyzxlfVQsmS/Pubc9Qgg4s1yz7npK4zmP157jSU5WKrTSuJVrp6jeb1gRvA22xyGEhsLuFY7yPPPCmlkYY0cuN+8P+fT+AK0Ml061ubs9YpqURIHDXm82P3+7/Sn7Q1sb94YxO3sTWo0AIWDvYAKOTdPzXcnhcEanGSKl4MNbh6jSIIQhKwpu3h/Oa4o3j6V0BVXi2dF5fOPSAps7UyZpzlsXutzdnliDBQHbBxM+3RgCEPoO59ZbpGk5d60+XQliJnFBmpfzgeun9wdzk4ZpYgfKX1aS5it8fhwOE25sDPjLX28xGGcMx9mT7+NvAExFIJzMTvY2dLUv913JYJydcL425qTRBFjzqTRX3NsZIYSdc2AE68sezcjnbz7c5ubWkLw0eJ5ga39i9w/1gIHOKJQijDx8R1au3KrqaVhiw+Ew5sH+tDKssA4Z3VbIwTAlLxSNyK/cq61D73CS8ZMPd0iyEqUMg2lqI+0dydlWY24aleWKwTjhz3+5Tak0H97p0ar5vHXMeKQ3Svg3f7PBr64fsD+cEadlJWJzMdrw1oUFrpztUAtcfvrxDuNpwfn1JpfPdF71wF/hWwOlDQeDGK0Ny90anivn5JOj51Cj6vOOZzlxWtBp+MRpSadpE7HirOTCeptTSw2atZzeKKVV9+fPuMun2wzGCTc3h3x4p0epDOfWmjgSytL2JnZ6MXc2R0zSjFmqGMc5caroTzJqgVvNBzWFsrtvbSpiqTJAie/amuNIwAG2tkhzTa6SJyaAPw3Py1epyqUnCjiOv+ZFoY0V4k5F/sRjCX1JI/KIUzNPaXYdQT102T6MMdoQuIIodHGEIM1K+pOEwdiSyxxH4ggIfBfHEdQiwXCWU+QK35M0at5cNNeqBwS+w2h6XEgw5cb9Pm9dsutpGDy9P1ML3LnpjBCw8BSjjuPoVHOJWWL71IEnMQb2B8nvpIhDPaIo+qz50Qe3Duakq94o4d7u6ESC7ObeZM5neHAwtaZEpcZzJPXI9pcPBwmf3uvP3bLXFuv4nkPgW8HAYJKSFYZa6GC0FecstiM+3RxU4i6BQOBIQ5obdnozZknJxVNtNnbGc5O6I4GSK6wRmsTOGoSQ1AJJnCni2TPuL2PF4p8lgP+yURorvjWmMuCrvq4M6NIwTazRXG+cIiSoErTRSGHnn6NZxn/42X32+zHNyOXu7pjxpGAyy6w4RDo2CadUxJ5kvzfj3/xkgytnuhSFJW2OZplNQ05zNnYmrC3V6bZCTi3W54Y/j0Jpw8f3+hz0rYCjVfeYJSWf3h/wl796QBi4tGoBf+u9U7x2vsvhIGW5G/HGhedLM767PeJgYEX/nWbAay8ZmfGLwOmlOlLC1v6MwJN8740VtvamHAwT8sIKBj1HVrMZ/ZWYQ70Ijm6tJ83+Sm2YpSXSEYjSJoV6rsQYTZZZM1cEXDrdsbwVo2mGHh/e6nPDG87ThaQUhJ47n1N6jsQJYfsgRxnB/iDhf/vru/zoe2cpq5tdKY2sUuovnWrTiDy0Nix1oscSX0bTjEmcEwUu7UbA7a3hPJlzdbHG+TVLoE/z0ibzHc5o133CwOWtS4uPCTk+6+d9UeiP0rnZR6k024fTZwr4XuHlwKPP8GfNZKUQ/H//8i7jaYZShsNRyhsXFhhOrdmBLk5ee0e9N+C5ClBZdeKMhs9iFn7m21X9MgXUQkme22cixooJ0mpuOkuKZ65zAjgczohTTZoWJJnl82GgxDAcZ6RV36woS+Ls6QWAlNBtBSSpFUKO4owkKzAajLZJY6+ds2kah6OYD28eVv0AwWLTp1QGpSwfcbkTkeUleWlFiVfPdrlxf0BZas6tt6hH3nw+3x9bAXJR2lSyw2HMv/zxXcbTnFbD593LSyx2IpQyeJ5k92BGUolLNvemXDrdxnOfLLj4y189qFK2NPe2R5xervPauQUKpVlo+gS+M+8rLrZDFloBf/XBDs26zz/8g3Of9Sk+FcdnsUFlDvrJvT5aG2SV/Pe7jsNhwiS25sy+K9kbxC+diEMaWW207d9fxo7X7a3ZY1+bTF++RJFvA45mPUcoX0IOktKG3cMpcWZT0T7vPf1KxPEVoyg1g/FD1dDBMOHCegsp7cYaYDjJuXy6w+XTHcC6ZZxdbfHea8uMphkf3j4kLzSdps+dbRuvm2WKaWKHGTZ6dMxkVuC5AoGkVIqiVAynGWnlzn+Eb5IozgBFYXClolBm7p4hqsJJayu8cJ2SWuiy28/mBWapNSrTtvkqrJPvo7f23BXMsY3LhVbEaJJVhHQrBinyHAU4shKAFIpmXZCkReUiZhMJDoa2keRIwfWNIbO0ZLH90JX6zEqDvf4MKQU/+s4ZvvfmKpt7EzqtgHNrDcCS3w76MYvtkFOLDaQUBL7D7QdDAs8jL20D2nHsY68orGK6Ebr8Ym8y34Aa8fA3Pb3cYDjNuPNgiOe5eK7D5t7UEum0qQpBTS1w6TQCDoeJbf64klbdFmwXT3U4u9Li+kafKHD5vTfW+HSjD1hXpCSboo0hClyaNavkP77x/NHvneWXN/bR2vCd15ZPOLcIIfCfot6dxpYk2Kr7LzzcGk5SRtOc1cXaU+Puv0xs7U8Yz3Iunu4Q+c+nTh6MUw6GCUWp+MmHO+z2YhxHzsm141kOWlMUlsivlI01jHwXx7EDD9e16SdHAg74cu7p40PaYWxwhY3zfZF4xS8DUWBFVrpy+FAahsOcoqYxQhAnVtDlOtKel2qNVKVhFtuocKUN06QgLxWe59CoeUzinLxQRKGD5zj4nubUcoOFVogjBXcejFjuRPi+Q2+csLJQI/DsPdSu20jCWVKy0A75u7//+EbnyLVfCFhbqDOe5TQjO8j6+G6Pdy4v4TiSdj0g8BzrOC7g7EqTSZzTbgS0G/5nOtIIIXjtbJdRJfh6llgi8Bw8V86FHK0nOO2AbRrcOuYOemtryPdeX32ejwvgRAPYGFORWV9+OI+qpz4Do2mVTOUIiuo+MkYwiQt+eWOfVj1gNLPNd6U1xth1VFC5XGhsw0GAxCAFZIXhx7/ZxRiNBIQjmaUFf/GrbYpCc/FMG9exjgd5UZIXZk4UKzVoU1Io66r1NJFFmmnS7PnUz6L6/Vq1gHFc4HsOrlOSK9BPaLwcEZ0mVZNJG4MrBcbYIaPBoJWGShzSHyWkhWKhZZNQCmUQ2h7nNC1YaEXM0gLfczEoPE9QFlak8stPD8iLEtexDiR2UGtJ4Zt7Y2qhhyMEoe+QlZpf3zp4AqlOs7E7Ji1sw3iWlCw0QxxHoo3mrUuLbO5NMdg0HmNgMElZakX0xzZJa2WhRqcRMIkLRtPUvl4bpnHJ7uGMTiNgNM345G6P/iihWfdZ7ATUQpda6BF4DufWmtx+MCLL7XrmuhLfczi13KBV93nvtWWWFyJ+fn2PLNdcOt1i+2DGbi/m7UuLhJ8h5iiVFb+sdGvs9GZgbMP6t3Hi+F1Gre7SH87mjcivCkprOyAx9tmQeCU3KsKg68pKNG1rrzOrTZo1n+i0y8pChCOk/eyx7rwrCzXGcU6rEbDajfjBW2vs9GZcO7/AUiei1Jqrp7sgbcPO3sfWRWeaFJxZbrDYiWjVA7zqen33yjJZofnR986yczhjMEmZJsW8HlxbrNOq++wczjgc2kZutxnyk492SXJbjxsDd7ZHTxRxgHWhqYUv5kB1d3tMkinWFuvEacHF0y2WX4AEIKXk3StL/PrmIWAJnv7XUKe+wjcbGzs2ivv81yzieP1CFykF+/2Y/UF8wsXpFV7hFV4MO4dT/v3PNqvusx3UXakG6Fv7k5MiCaNp1S15LctLJvHnc3xyZCUW/Bq36AZICnAdS8ba7ae8daluXfUe2fcJYH8Yz92JpCPwsKkkWfnQ5d9UexV5rO91Ys5smKf87Q9TQl9igA/v9tg8mFAqSz4vSoWs3HmFcCphpTUwmSQFRXXiSmWT9Y4MYD64dcj6UgOBdSpOqjjTrCgRUiArBz91bAMVBi5XznbY68f4rk3tXeyELBKy209wXUnku2DgN7d6yGrPEyc5Ugq6zZAkK/G8YwQQ8bDvZow5kbJZlnYf8ErE8c1CUSpubQ34ZKPPbi9mlpRI67vzjcKxmesTYQCqhMynkR6P3kNgRRxl1eOQQluSpYSa7+A68Oubh1R+EKS5TYGthR6e61CLHIpC4DkS33dYr1JmhLBkPm1skkac2vvDq/obi+2QJLdrietaApiUcH69yVLL7oU91wpBytKglWGh5ROFVkw+mlqy5M3NoXXUN4Y0V/yr/7zBbmVa1Kr7/OyTPa7fHdj7Tdg9VOi7hJ5DvebxR985zXK3xgc397m3bfv2+wPb6734BGOIV3iFbwqMMWwfzpglBZ1m8Mx9wO2toe1TY2ebvmuT7F1Hcum0vc6vnGmT5SVKW2fOI5J+sxbwh++s8+nGgCQr50nNriM5GCQYA0udqCJ/uzzYn6KV7R0fDmKunO5Qi3xGccJPftMnTgvKqrcPgqIoqkRdK8zKqoSiJy1dT0sn1zy5Z/lNhyPFE4l9gSdwXUl/kuIIgetaB+A0V4xnBZ4nyatE91zZJIY4LdkfJEghWOlEZIWdi7x2foGffLjLXm+Gi2B1pU4YeORVwnxeKELf4e3LS/z1b3ZOHEdRWnMbXc3+ntaf8X2Xv/3+GT64dYDnOHzvzc+eOVw522WW2p5ub5Sy1Ilsz/UFDDhedmhtKvMgm4LSrFlimOM8FAQ/DZ7jPPPvC+2I3b7tB7frPvv9eD43GE0zLqy3SbKC3ijFrdLpDgYJ59abvHd1hcE446M7VtxRDxySTDGYZOz0YsazjLzUBK7E81wk0KrbGUBelHTrAe6pJqOpTcI7mY6jEUIS+oJCKQbTz75x9de8VzqOo9v10fXJYGc887LenBT6a4xdgw389JPd+XrlOoJSGZICfFeRFQKtrbFVkpa0mwGnlhp8cneA60jMUXp6rpEYxtOc3ighTgv+6J1TT00cSNKSwHcRQnA4SvFdh1lccH/PinKbNZ/FdsA/+qNLL3g+DAfDh6mNw0k2N4P8XUJeWqFG6DtkheLTjQHLnYg4zRnHOb5n981oA8KQF4/zYL6p0BqSvDyxn9DG2N83cNClIS81d3dGnFqq47oOe4OYtFAcDhIQhtG0wBhNPbLmpb7ncH69yeEoYbefICUstSP6o5SdwxmXT7fQxrDbj3EdyR++s46UgrXF+oljK0rFLLHmrvd2xvTHKYfDhMV2SJYrVhZq81rl/FqLUmk+udvn9oMhaabIcsXqQo3xLGehFVIqzebeZC5qe/TnfRmQj9wqzqNfeIVvFOK0oCg1jZr/TGHPUifiYJjMDdqedS3d3xuSpKVNkjA2/WqxHdGsKS6dbvOL67snXn/8qfk84sYjQecXseYcL1mLXFsppwCEIc3KuVGMyZ+cEnwER8Dm/syKvF2B5zBXaUshSeamz6CeIeAAyAtNs+ZXRo2C8Syfm1JmpSY6ZsCaVQ0Ng0EKQVolTzmO5TUutGw62WiScXa1ycbOaN7Du78zYn2xxv29CY6UvHVpif1ezO40I/Bda5RXpa/0Rym7vRmuK8lyxdnVJoNJOufx7PVn1sDiKb/Tzc3B3CBnlhb8+sYBvudW3yv5k++e5m8+2kMA71xe4n/5j7fwXIc0U/z1h7v84z++/NTzVZSKrf0ppdKsL9YfS+96tNZ/+/IicWoN/p7ELTi+T/hdMMCoBS6jqa11pBQvJd9ilma2D11FP35TauwXwWj0+Nce7B189QfyCjgOJ4w0Wo2Xby+fF4q0UKR5idYOcfK4AfTz4BWD5CuGI4UlE1cVg/+ENIIwcPj4bo/tgym1yOMf/uD8/N9+ffOA+7uWLL59MLGkw0zhucJGlU9SCmU37GBIC40Q1i23KK2a/euIUHwRSAm10KdUBUrbJm498rhwqsM06RGnBWmuyYr8hCLrSLwBplLvKwQPObUCu/HNK3dyqJz3XYHnCPLqnGFAaPAcgdL2ZuuPMpTS/Oz6Hq+d6/Lh7QPG02JeJB0MEwptaDWs6/VwmvF7b6xiMKwv1bm43kYIcWJgkxeKLC9Z6UTUax5FYeg0ff74O6f5H/75r2jUPdLMvtevbx6wulCnWfNZX6rRaoZ0W0HlvqD45G6PNC354bvrpLnmg5sHjKc5aaG4dr5DWWoSDGdXrcADA5dPd8gLS0Bt161b8uvnupxbb7G6UMOR4kQk31InYudwRuS7vH15kUun2jw4mDKJC1p1n9VjG4duK+Tv/N6LKXQ39ybsHFqC4Iu6bNzbGfFXv962rtKByz/84cUTaQZfNn78mwf85S+3Aeg2A/7P/9VbnynkiNOCm1tDesOE39w+5NbmkMBz6DQD7m0PSQuNIyRSGtLcKrnVkStektOIXMLAo1PzOBjGX7l7TGnAPZLKf01wxFH0tyQ+dgJKYBSXBK5AaYMyIEsbx7zQtg6armPFRIWyWZFS2s1cpxXSrhw4p3FOkpaEgcT3fJvOEWf4rsP6Uh3Pdfjj76zzi+sHtBsB9cilFrj4notSmt2KAOe7knNrJ+Mtd3sxaVYyGGcsL0Q0jsWa5oUmyRWNSGKMYW2pxl6/Zh1GQpe1hTqXz7ZZaIbPtZE5IoF85vl0JG9cXOBgkOA4grWFJzcDtDEnPnalDcaY595UvX1pkV/dOEBpUw3Cnz/F45uMWuA800ntURwRkopjQihtbHz2nZ0xvmPJR2G1lviudXM9PmyIIocwkMSpIklt06AsNdrYZ6krDEVhEKKgKAw7B1NOLzUZTlN77cMJafORo8VvUyccXQWNmmcTO5Sm1QgZxTnDiXXGVOrh64471B4dSqmMFWxUhK0j916lNWmu5w4hg0lKqW3zyKmStI7D8xzOrTZY7kaktw6RUlKWJaXSzNLCKqEd68BrE7cyCgWfbgysE2jLx3EiZknBqErVOI6sKHEciUCwOHf+1ARScG9nQrvh8wdvrTGKUz64eUBRGvJSEWc5dx4M2enN2Dmc0oh8fvD2Gpu7Ew4GCXlphbe/vnXANMnxXYdGZMVh41nOUqfG999cI80VC62QC+ttbm4OrBOiMQSeg+tKwsDlj95dp9sK6bZC3rq0xPWN/jyZxw74isdEHKXSjKcZP/7NDklSEAQua4t1hLDOQc26/1hDQWljnY4rkdn5tdYrEtlT8B9/usmtB+OvfMCiFAhhkMagjWI8g6WO/eyTrCBcrFEoQ7cZ8v5ryyx2IlxHkmYl1+/1+ehuj/Es4/bWkEun21xYb3F+rcW51SZh4NIfp+wcTtEYFpoh59ab8yZdq+7zyb0++4OE1W7EcJoTBO4Jt8UwcKmFLoHnkLet68ylU20Mhq39Kf/2P9/j8tkuZ1YajKYZp5ZsY3CWFBxWQ76i1IxnGYejlHevLJ5wDvy8KErFaJpZkXHNt0lfL4h3rixz+UwbrXmsmflVQGs7CDXGugA5T4mHf9kwnGTc37OpYOfXX95Ur6xQc5HU+Ufqxa8atdDj8uk2NzeHfHSnx8r3Xok4XuEVPi92e/GJyeb24Wwu4ojzh8YqR6KLKHARCKT8/Bt7rb+UUI7PB2PrwDgtiDNbfydJ8Zgo+nCU2DacAap9pkHPHbOP4PsCtMBxxHzwWX0LPPJaUWVoZrmy7rXYtLBa6BJ5DgbothzGM2vc4EmJkZAescpltVcR9s84LxmMU2tI4jssBjbdNvDdilhqBRWHo/jEKdjan/LJ7R61mstK9+He2nMkO4czxjPr7imEmDt7Igzn11q2z+E5LFfkQ6VtKvORu54Q1rmuVw122w2fNC85GOY0az7NY/WGUpo72yNmSUG7EXBhvfU7MRD9JqAoFR/cPOTBwZTDYUJalN+gm/QhnmfVMVVv7VFYUyB7Y7vCOnKHvkuhFEVhDZpUJZbKS8PGvf5cwHEEVTGmy1IR+Q6iWhSKUrG1O6YoNZdPt/netRUeHM7488EMMJRKI4VgsRNxfr3NcqeOMrY/pZTtEZxZsonRqws1HuxPiTNL8F7u1ljshnzvjTUG45RmzRIFuu2Q4TQjyUqK0pAV5bxXrbT9mZ5r0waWOxG+K6lFHkutiD98d31O6spy/dD515g54f0VXuGbit2eTbgBu8/yXInvOoxmGfXQO0HmHU0fXs+Hw4TAd+aCxb/41RZrC3WkFFw7v8Dbl5b42fU9rm/0bbLNpUX2BzHTJMeRkt7RPrUSjdy4P+DO9ojhNKU/yri3M6bUmpWuFXa8fWWJUmv+828mNo1TWjd7pW2/Q2DroTRVZMp8nWOLLw2OBKPBcaEoj3/dsNSusTeYoZStkVzHGmK4jsARklGck+SWgF0PXVwpKbUiyWwPxpGCnf6M1W6dwHOYxDn1yOP8Up1//CeXWGxF7B5OORjGaGOFH6HvEIUuS50anUY4N5C7dr7L7uGMOCtp1jyM1vxvf30Pow1XznaeaQj1eQiv711d5r2ry3x6b8BwmnJurfk7k8KhteH6Rn+efH5urcnrF7rEaVH1iB+fU46mGbO0oFUPeP/1FaaJNV25sNY6MRMG+O5ry/znDy0p9I3LixS54mCQIISg0wxRWtMb2aT5xXbEmZUGvu9w5XSbG/cHOFJyYb3Jx/cKskIjpWSWlRRVTZ8Vttff9BxadY/epCDJCiSCn36yR5wWJPnJasVxrMGT50uEOErqe3nI7J+F4/MSeJh6pg0IZctJAZhjRKfjJnxFacUenmONHaU29Ecp/+5vNuiPE2apQjoCrQzCMDdhdBxJPXTpTTLyvHzMhMavhLKeKzm32mBWOZDHaUFeaHxPUirDXj/hRSGEIHCtcMEei/jSEgu+yTguZNHa8GB/SpYrez1oO/fRWYHnO/beES/Xs+44j0HwcDaaJAoprdnqYJIxmeU4UvDp3QMKZef8vidZ6YTEuWY8K1Da0G36DKYZa90aYeAwntq1bHWhRl4qfnnzEM+RXDvfZbkTPTERMc1KPr7bp1Sa3igh8l0Oh3ZGd/vBiCQrK7PdBs2q92z3CpZzkGaKO1tDbj8Y8uBgyt/5vbPs9eN5/T+e5bx7Zemp5qZfFBZaIeOuTTeLApczK88W8L3C14f9Qcy9bWvoVAtd3ri4+NT1znUkb11ctCakrvNswUe7QZIVZPmRKYphNMuphzblvnyRmLmvEEqBdI7SqSQahRQne35PhTxK2bN/qtLMe4xaaMyxNeez3koIWF9qMJvldNsBvWEy5yxIUe3/K6OVa+cW+P/8h1ukmUIIQSP0aDd8JrOcKPAoSk0YuISLLnFaEmcFtWquqI2wa1VcIIWgEbkMphkKSIuSaZLzYD8mKUoiz2V9scbplSaOtEKOes2nrPgKK91oLvTwXIfLZ9r89ONdbm4OWe5E1hxTQ2k0npAYYRjPMkplRZd7/ZjVBVsv33wwICsVpjrpW/tTpknB+An7QYDbWyNrRoxd5967uvxYEtFxhL77VBPmjd0xez3bU11ohVw52/mMT+vlR+g7tBs+vVFKs+bNTbNfJqwsNAg8hwyFBLqNly9hJXnCsri82PnKj+MVTgo47Bc+n8nZ14k0tzXjNC4IA0X8NOeQz8ArEcdXDCkFr53vsrU3QQg4+wSn2N3DmM3dCWmhSHLF9Y0+r1+0cZOHw4QH+xO2ezMEgqVOSFooJjM7XHAd26jUAjvcKxWOFESBZx1pxKNBNN8sSOzANS9sxIwnJPXQI/Qdbm8NKUqbRqC1wamUtEcu3QJwhKBR9/Fdh+E0RSmN0BD5glxB4FpX/UbkUmrrPL+6UGOvN0NI22wA0LklwXquw6nlFrO0YJIUjGc5w3HKXj/h6HRqYwc5jgBXOqwu1uznkpc0Ip/dw5itvSlnVpqsL9WPxaOllMrguQ5Xz3RZbIecXm6wfThjsR3ZTWChaUaWCNsbp/RGKfuDGCEE93ZGlEpz4/4Qz5H0Rhmb+xNeP79oxQyRR5wVjCY507SgHtpotqVORLPuEycFn9wbsNKpsdixg+H15TqzpOAX1/cJPIdrF7rzgmq5G/HpRp80L3nvyjLaWJebL6qRstd/OPAeTjLSvHzuRI1bmw9TAeKsZHN3wrULX13k2Ie3evP/H0wy7j4Y8ubFxyNij1ytkqyslKk2gtgY25TKS01/nDJNVeWibygLbR3yq+6GI63AyHUkzcij1Q4xW8Ov6Dc9ibJyr/+6YIxtlvhPcWNRxqBhvtnTWrHYCpmmOWWpqUWeJbK7VKkXHlHgsbZYZ3NvYknd2g6cl1oRB+OUMHAZTlN8X9Ks+wwnGd+5uozvuwiwSnwD93bGxGnJykLI3e0x9cibk1XzQtEfpyy2Ixbb0dxR8CilyXXlnLhflJrI93jz4gI7hzOGkxwh4c7WiPCiSz36Yov60Hef+Fw6DteRrC3WLDEJOLPceCESyLXzC6wt1imVptMMvzVE79B1gOdX1Ia+Y0UEEoqqkTBvSGjNLFdWsKFtx6EWurhTO6A4ep1R1uGhFvqUZQYc+zcNwqkSrkrrvCElTJMcrSAIXJg9JJEcxXF/3gjmo+rCcazLy0o3oBGFhIFLt+mz05vhVk0GsGteqQyutM9aKQWuC9OZwvcc0rxESnueCqUJfCt6ldW1Jo0lQweei+sILp1uM5hkaGNsA9VzKAqNK12Wuw1Cf8hwlqOUIfQknuvgioK0UHNx59HvriuCymiSU48CprOCWvT480hrQaPhsdAOSXNFtxGgtGL3MMVzBVlR0m1E/JO//RqbexN2+ym6Ep3MqprCdSSOlPynD7bpNnz64wQpbdR8PfKr15ZkhXUn7TQDVhdq/M//4SYHw4TeMOHtS4sstkPWl+o2nS0vCQOXNC/58E6fP33/4dCyWfPnIg4hoH7s9zLGcHtrRH+c8vPrewS+PYfD3THNuk899GySSOdx9ftebzZ3BzkYJESV8OMVHmI8y7m+0ecX1/fJi6/26SmwAm/HAd9zkcISm3RVPzdrPhdOt8BI6jWPViOw5KtSkVeuZ0Wh58Sl4STj2vkFjDE8OJiCgIPhjI/v9lHacGq5wfdet79z6DsstEKunevauPcKyTH2ltaan368y6f3B0Shx/nVFq9fWODiqTb/r//fRwwn1h335oMRb1zoMk0KXMdhtVujHnm06z7Dac5+f8aZlQZxUvCTD3c5tVSnFj6d2B+nBWWpEdK6/T4plUYI2BtYIq7S+rnT1h7Fs47jy8bNzcGcHNobpbx5cYEkU/zqxj5FqXj78tIJQc3LgKNUsKNI8VubQ95/feVrPqrPh80968jfrPl0ml+/sPXty0vc3Bzywc1DfvS9s1/34bzCK7y0WH6kXlo+5gRcFidJSKUyKGUQwjCNP7+I44uoLlxJlWQpThCBXhRHTtCOfCgyF8KKrsWcdWT3llqD0YqyEqFoI3i00yC0QUoHKWwa55EbnpTYGqVyqA08OU/Zc71qAGAMuiK3vHaug9aGpCiZJQVSSEt80WZOKAlcyUonICusaN6mCFhFx1InmqffLrRCaoHDXj8h8BwWWw+HVYfDmP/1L+4wnGY4UnDtfIe3Li1hDAS+JcXOkpI0L1ldjKyItdRcPt2a19COI7hytnvC8OE4VroRt7aGKG1Y7UZ8cq8/Z3RdO9edD1i3D2fzXsPBIKEeeU91WDfGVHWWnPcuX+HzIy80WWH3mq4rkaXdz39W8sU3DUcmCk9C6EuklAS+S6vucWG9yeHQXm+9ccpkliOFYakTWpf23cffSIB1rgwMs0ThOA5R5LLQDEkKK4YoleFwGNMbJRSl7XkXpSH0Jf/t332NC6c7uI7gP/5iC6UM3abdz1w83aJZD3Bd+J/+1XWCwqUeOSR5yfpig0un2nyYFAwmKfcejEjyksun2zw4mNm03Sr9VghrBtNu+JxfbXJ/b0Kz7vF/+DtXaUQ+jiM4VyWqlaVmsRWwdTDBaJsS0nxJxcav8O2H0oZZUjCcpie+3hulDMbpvMd45WyHheo514h8JrHdX4aeMzcJGMcZWhmmcc4ktgkZ339zjW4j4MrpDp7r8MndHr+5fUhvbE1epBQstELqNQ+tYZbkbB9MeXA4ZftgRpJZkmZvlPHDdxeIs5LRNMN1HCs68FyMhrTqNWprAkqJmBOQvk2ohw71yMdzBefXmnxwq0dRaowxBIGdc07TAlM5MLuO5Nq5riX53x9itCXzeU6O77v4rkQKyEuFKyWOI5FCcHqlQVEqktSazBgDea5Jc4XvW4Op7cMpSWbrt99/Y5UocsjykiBwKEprOnN2tcF2b8bFtTYf3etRVoZ41+8NePPCAtFnJKVu7Iy5sz2iWfP4ztWVOdH8WfgqZ4LfFMzSYi7gAJscN57lc0HWtfPdE07Ig3HKzc0hAEJMeePi4jOdlpU2XDnbJStKRuMU13E4u9bEdx2iwGE4zeZJ644jQAhqoce//PE9dnszBuMUbTSR75KXGikswWWWlqiKLGgq9bTSAmFV3bieYBznlTz7JIrSpl5LYY/P8ySu0aT5Z9/330SGhO9aXofS1WxF2L3Y0dhMY/dVQgikBMdxSNMnG3Zas0vLhei2QgQwmmVs7IwJA5dOIyTNY9zAw5GiIg76jGYZZWEYTXPk3oRJUrD4yHw+DFyunOmw25ux0Ao5v96kP7af//bhDK0NUehy+cznMyi5eq4z75GdWWl8a+aGL4KFVojjiLmBaLPuYwyWQNsMUdqgTcg4ziknmd1f87V6LT4Vn3WvHf83zcOUTK0h1+bYKyqCdqnZHViRRVnNKA6GNkVzuRNyarFO6DksdSNeO7dgDRk9K2QajjN6o4TankenEZyYW1muTmW86zmMZjlC2OSZ0HephR7Sgft7E86vtfjkbp+Lp9s4jmC5GzGJc0aznNXFGrOk4Ccf7bB6zMRBa0NeqC9dxHFkJPsq/e+bj/1jfChL9syfmH50BCnFc/Gl4jStEljs9ew5LoutkO3DKYHnMJx+PkfwLxtCVsYsBkqt6TYD4qREG4MjNY9sU07AVEJujeUMuK4gcGzyrufKOR8CbL/TmIe9jePcDLD/9tGdQ4pSsxrXULq0JqZYc5SdgynDid0DxWlRzaXsm8VFwYVai7LU1CMX35NMZjmF0nNR1e5hTKk0p5bq/OrmIZsVV3Rz18d1JLXA9kx3e4ndVxkoC8WtzaFNFcauVxdPNemPUzB2vv/LG/sMxhlCCK7f6/HrW4fkhebW1pBW3SMMJGlun8+tejDn9gwnGSsLIb1RZmfEkUdSmV9KAesLdT68fUialfiew+sXFub7QbB8vCMoZde5Z4k4noXj90S/2id+2Wvm141caQLP5dSSFdxlxcvUJbQ4u9qwyWFZCVJwdv3lEw82Aug/4rkynb64GPkVvnhs9Z6x+H9DkaSlTTbMSvzEYTT7fL/Dq4nM14BG5PH6hYWn/nt/nOL7Dn5FEjpSMYLdbA+mGXmhLDnRgaJQlKpyrK4KEUvatK4WvueijcH37EP0m4CnDax8n6phI1jqBPiegyNEFWOurYOMayN+pRR4GAJfYhC4wtCoB5xZbSINzNIa2wczJklO4EtUViKwA9PVxRrT2LofXjzVphZ6DMYZD/bHc1KZ5zoEvsP6YsgvbkxRypBU6inXdVB5iVM5YhwRqRt1h8E4I/Ac7myNeP38Amn1WYW+jcV67+oys7RgNM3ICjV3s3ZdyfWNPnmhOb1UZzBJUVrTrgd4rkNeGnrjhO3DGYEr2dqfIaVhMs0JgqOI6RlvVeIBRwqWuzUun21zoWyRKc0HNw4YTnPKnQmLnZDVxRr9UWpFKNKKZ8YzW8RnhWL7YDaPwf6LX26x309I85JPN27yg7fXaNcD3ri48LmLsuMIPGd+7mWVWPO8eJR09ySy7ZeJWugxqFwVhOCEE7AdNCQIBHFWcOfBaB4t7bnO/Ngvn7bNL+u4KDkcpuhCWddsAVqCYwRCCBxHopSmVAqtDL7roLR+LAb8UZfLLxICUF+xAFLapcE2MwVzMmpRqic2hIyxGzjpCELPOgKuLdUZxx5+lYhUFDXqkU9clNRDj3/8R5eQQvDBjQNGsY2xCz2XtFC0ah7TpOBwlOK6klbdZ7lTw3Ml7YbP2VWrhO+PU8azDM8V7PVsoee5kj942woWHMeSQI6Ih77rcOl0h91wRlnqeTQr2PXqaH2Jq9hjR0q0NhXJ++tRZp9ba1nih+C5xVbH8ayGxMuK5+0pOxUxKq8UA826T1FqZmmJ5wiy0iCwTmjAPGGj0wrZHyaWZIR1lGg3Q4pRjOMI6pFHfkTOBwLfPseMUdWfhqV2xDQpKwc2MXdvk8I6KYXBZzdyBLbZ8eh+8uj+a0YuygiK0lRNZkPouXiug9Z67hTlOHag6nsOS62wEvTAjftD+37aPhdroccsPUqLqO4fAVle1QGe4OJ6m5Vujf1BwmCcMquEi74ryLKC3d6E/jirnH0hKTSR0pQKolAQp5xYQIyoPk8pCFyB50lm8eMLXqfpU4sCTi836I0SDoYJYSDZH8TMkpKFdshSOycr1hjPShwpKkEZNoHmYPrQUakoWV+yTinL3RpZ4bLSjejUfQ6GKWmmiAKPxXbIb24fsj+wa8tolvPTT/b4vTdWObvWpD0LGE0zHPFQKHgcp5bqOFLMUzyOD/GG08w2f7A1QFYoGqEHxhKQ6iFPbZwU6uQFUaqXr+HwZeLOgxHXN3r8+IOdObngq4IrrWhrZSEizTVloebuaHmhaNV9Ti03iALr4CyFQCnNLMn55Y0Dbm+NiJOcrLSuMvXIq6LODZv7UyLf5fq9Hp9uDKhHPmfXGqRZwV/86gGdRlg5cHZp1f0TaYTHG35/+att/re/vovWdo28drYzHzhMZhmqcvBN84Jb1aBZSrsWSFnj/HqbK67kL7OSvHLwMtV1W3uK+cfW/oTN/SlbexN8zyZsXT7dflzMYOwao7Um8F2SrHyuNI00KxlOM6LAnT/zdnszDgbWqfTiqdbcTfvLhDHmobs3dgBVKs2f/2KL3siuI3uDhP/9n155qij264TW5olD26Nr8Ail1i+UCvaiGE0z7u9NkEJwYb31hdZf93et89Y3xRn9e9dW+F/+4y1+dn3vqef/FV7hFT4bZ1ab/K3vnGL7YMZiKzpBKDu1XOP+/hStj3xWNPd3x/O97tcJpW0vyXzOW18AtRCUkggpaNc91hfr9Ccpa4sh270ZWWFNKzz3aBBtyAtDoZR12rNdQWtSU5ExazVr1uK5llw4jjNUCZ4Liaic+6RNNKmFLqWybrwHw3Tee3RcwSyxNX1/nFKPfOoRKKXojzNE9Rj0HIc//u5ZCgW+K9jpxxwMEqQQrC7UKEtj9ypSsH0Yz9MwVo4RQbb2pzYFF9sT2j6M+e/+4TJFqW3qcuAR+TaFIy8V77++glKGZt3jncuLGGzd/ay+2J/9fItJ1S/+tz+9z9uXFu1g19i6/qj+eLQuf1qdbozh0/uDueD7wnqLlYXfDQfrF8XzPh/DykgnzRT10CXLFUqpb7yAw6nSaI6SrY/28OKRHqNTnYJ2I8D3JJ4UPDiYkWSKa2e7eK4VXUehTasdz2yq8DQp5jU72N6AEAYpJY5jZxdJpggWHBbaEVIItNZ8dHdAf2z70rM4Z3WxwdWzbUpjWGyHbO1PrdulJ6mFfpVmbYfIRgveurjER3d6TGJLbG01AjzXuoP/+S+32NgZV8LahH/yoys4juDuA7s2NyJLcFxdrHFutcWPPIdTy4+TC+9uj7ixOaAeeFw53aHTDGjU/CcaHLyqs17h64ZSmo/v9UnSkllaYIyhEflIKZCcJIQOJ1a8WJaac+tNbmwM8FzJ1deW2T6YcjBMaEY+eZ5wY3No5x6e5O6DEX/28/uMpjlR6HHQm4Gwz8miVLTqIXFSstyJuHy6zX/69QGbu2PSXDGNbVqH50lLAA9c/urXDyiVRitD5DvMMtvDWF+ssT+IMRoiX9pjlw/Xsa8Tvy1h3HOq+lDYGsXWI3UurnXY2J1SKjszdSQkmSL0XfKixK/mwnZttWaAD/ZnoDWZhlwpuo0QIyTN0KVQ4HmSdy4tVYnAHkudkLOrTdrNgINRYueogWtTEqQl6ncaAbOsQGPY78d0myFS9MgKxcaO3eseJQ03In9+TsRnrH+9UcJf/vrB/OSVyvAHb6//FmfS7r2HU+smfOFU+1vj8u9V6QhH5yovNHlh69Ci1GztT3nt3MO9yPBYmo4xMJ5mTxUNg60dG5HHwSCmKDVnV23iyvkLLRo1jyRTnFtrcXa1iTZ2xvCrT/f41c1DpGDea7ZiZjvL81wHQWnv0crEahoXJLkiq4ytXH1ETn/8DtIGpDbUQ88SDZcb3N0ekuaPzzUcWbl5H+29sD/zm8GUsDCaqu7XCGP3Lb4vcKVACJvCDgYjBFIK1ro14rRgf2jNJo0Bh4czDSkF60t1Vro1NnYnNhUNGE+todRqt8ZiO2S5G/HulSXGcc6/+usNHKlR2s4hnaf0pxZa4Yme7upCjb///fN4rsNuf0a77vP+tacn7TwLtdDj2vmnc2e+zTgYJNZJ3ZP8rfdO86sbB8Rpwfm1JpO4YBJnGGOqpPZKKE11LwDfRH/9F73HHk2gefTfhLD1iZACYWzqnutYY6bBKENKyfn1Nv/N37mCEMKmaKQl7UbJr27s47qStQXBf/j5Jv/1n1yaGy4d7883az5rizXSXLGxbeuR1cUas7Qg8l38KqVqPM1448ICB4ME35WVAMXeM3mhWWiH7BzOrLA1yVlZqM0Txe/tjNHGJm1+GWY+r/YY33z4nkNczf2P0o2+CJTKCsCO6pusUFV9bMgKdWIP/ttC8JDr4EjxxJSbufFj9edRWd6uCSapmT+XK09qu2YYQ+g6xCi0May166T57Kk1vTLgOxKtLSfy1HKDtEovCnw7PxzNcttj8yWulJVIUlji+TGUGoaTHK01RWGfu77roI3BcyV3tidEoV0vkrS0vUsh5kmA/VHKJM4pSs2ZlSZxVjBNC3y/xlIrZH+QILTNDbu7PUJVAtj9omSpXSMtShxHkqSVEbC2AhfLN5IUStOoeaSZYqkVooxhmpRs7U2YJgWOlIxnOWmmbGqpFPRGmeVmVOcJDJM4J81KLp1q8/Hd/rxP2qh5fPfaMh/d6dGoeh837g+IUyto6zSCE8//xVY4N2iOwqenbDwP/GNJXEc8qm87osDl1HKjEgw6J7iFLwvu74+ZxQVKgxGGe9Xe72XCxTXob5z82tnz57+eg3mFE/gm7dWeFzuHM2ZpgSoNWpl5wtCL4pWI4xuIa+fa/KdfbzGc5niO5I0LCxSlsg7+aWkd0XyHWVLw4GCGUgbHFZS5dVcRwhYVhVIUpWaa2I15kpz0snPFwxjOLwNHxZnvcoJc7jn2wTQ+RogMfRvxKbBRcJ2mTxi4KGWYZgWB6xD4kmxUWicOQFZE6HOrTe7tTig0xJliGhd8/811bmwOWC41ymh8VyKEZK1KmihKTbPm47mS0TTH9xzyUtGoBXieQ5KWrC/Wqdc9JqnCdRwwunKx0ax0Ih4czHAciDyHeuiiNWSZZpbmBFVs6ObehFYzoFYR9YtSsz+M+eDGIWleUihto33bUZUIUqlfZzmh59JdC+kNrSt3PbQbRIwtapOsxPME0hEkmSIrShbbEd9/c5V/97NN+qOMy2fbvHt5md/cPiTNFUlWUo+8KhYy5QdvrfHpxoB23efahS4L7YjtwxnTxEbtHnfbHlaD3CPyV5KWNvFkkj3RlftFceVsh42dMUobzqw0XkjE8XtvrFKUdiB4Yb31mUkCXzT+0Q8v8C9/fI84LXjvyjJnVh7+/Bsbg7k71ebemINBQqEM9cjlb79/hlPLDf7Xv7jNOM5540KXMPCIU8XPPtlhmhTUfQ/P1cRpgUGDMeSFRinBg8OY/X4KnBRwfN7t+fOKPqS07pnPqwk7/r4v6jjoSPs9sopINgK86v2METadp2oO200J+B5I4SGEIa82rFHgcn6tzdpinXcuL9EfpyRZietK3ru8TKcV0G4EpHnJX/7qAY26x0EVCR/4Du2mz8EgmZNGus3Keb/pYYxhpzfDcST7/RjXsZupzb0pUeDieTbWeZYWNGs+jhS8dq7LZkUGPL/exJGC08sPFcp5XjKY5rQbPq9fWKA/Smk3A/YOZ9x5YFN4otAW+F8XnuRY/rsM5TxOxn10UOe5gsVWyGCSUgt9ZnFOrjQGQ6cRsL5UY2t/hu85ZGViXWmxzcvbmwPKUqG1wXUdXF9ybrXONMnJcoXjSBZaPisLNiLTcSTjWYEjBN12wGRWsNipYYjJcoUrbQRoveEhhaDUtrGQFyMQYt5Emj/LPXCEQ+jb9x5NM0LfZVJt8GXVZPU9h/GsIE5L9gcxea7o1n1qoWsFbIFDnChUqdEauq2QSVryoNfHEYZC2QhZ17WCtihwcSTUI5923ScvShCCwNXUI4/Id/Bdh7s7tilbC12Gs4zRtMCQI7BudEcEsCMYTEUQ0Y99To60A5Fm5JHkqnI+Orng2XVNMJ4VDCf2s6KKbRdC2PUau3EtCm3Fo0lBI3IxCOo1l0bN1jr7g4TQt+6FjVrA6xcWiZOC+3sT9oYJS+2Ity4t0m4GNGv+PI1kfp1VhLXJLGeW5PMGNljXzxOvFeKpCRnHnc1OL9e5eX+IIwVnVhqsL0bUI58z1ZrTGyWMZ/ncyXelW6M3tK5FnitZfoq77+8iilJzOEzYPZyRZgrHEegvswA/hnogeePiEkvdiLcuLvHjD7a5vTXA82xUa7Pmc/FUm0bk0R8llMowGKcUpWIyKxhMU4aTDKVssp8jZJUeZa+rZuRxf2/Czc0ho5lNfvM8wWK7xtEdp7XdqF452+Gty4vzteN4U+qTe/3qHrKN31ubI969usL+IKbbjuhPMqRgLn7Nckvg8F2HRs2vBsCSsysN+hM7HD693Jgf55OwU+2rsmpAvNyO2O3Fj4k4apFbNRAt8SF4jmZkmpd8dLc3F89fONUiClzu704AW8Nv7E64cqbzPB/jbwUhBLXQna/pQUUIPe60mueKOMnxn3G+vmqoKm1wEufUQpdr5xdODDRcR7KyUJu79Kwv1r80AYRSmpubJ1M/3ntt+Qt7/9sPRgCcX/9q9y9Pw5uXFokCl+Ek49bW8ATZ4xVe4RVeDBfW21xYf9wF8a1LS3xwq09WaKQw5KVBmS+XdlGPXLTW1h3tGXWII6uBmYTyM9rlR8uuMbDSDclyZcnapSErbY3dqNlkuVroMY1LaqFj61QhaUYOi+2I0TRnfSHk9va0SiQBIy1bUQjwpGCtE4F0kBJGkwzfcdHSUJQlUkikWx2PEDTrAVobJkle9RNsml8z8uk0/Hk/YjjNqhLfZZYUHKk4aqHLH75ziqzQRIEz7/U4UnA4Smy/tdTc35tSKkWnGSCFYDB++GxdbkcPn78CTi3V8Fxr5LG+1CBOCwYTaxpxeqXOzuGUwHeJQsea2XxGP0xrPRdw2L8bylLj+/b7jhPxVhdq9McpShl8T7L0lPStWVrOBRxga6VXIo6T0NrME86iwOXa+e4z3QFD3+WH75ziX8/u2h5Uqp5Ibvi8kHYG/1ubtziArH4N17VpjFKCL21isMS6YWtt5g09R9o0DKOtUGkS2959q+FTFNa4aG0x4vRyk0bkcX2jX4msPA4GCXlZMktKHFcgjKAZuQSBa2tV12G5HfL25SUmcYE2hsB3McYwnhUUpUIjcF2BIx2EEHx0p8evbhxgjKFQmh+8tYbvS7b2J6wvNWjUPMZxTlz1AQPf4c7mkN9/Y5XA9wgDZ07gygrF7a0h/83ffW3eP9RVosZRasCTcDBI+Okne+S5oidTzq81WVusP9HEZGN3zF7VP3ztbIcwcNk5nFEqzepC7YTZwiu8wpMwnGQMJilR4LK6UPtce6HRLJ8bx9RDD9eRnFlp0Kz7TOOcD24dIoSg27RGa//qr++x15sRZwVvX1om8B0G43Tu+ry1P+HezoiN3TGeI2jVff7iV5t8ujG0CQzCmh10mgFZoVDKCjjjtKBQti+w27MiSGPMvI/new710OPD24ccDGPipCQvNa4j8H0XI7VNgPBdQizBdZoU1Tn5cnsvzzPneNYRNEKJ77uMZwVK2QTl41pL34V66JMVVRpGqRDS7uvT0q51m3tTpLRzh8Bz8RObhOE6ts6qRx4I6DZDtg9mCMfBaEsUn6UlrbrPufU2GttH+T/+vdeYJgW/unHAzuF0np7cbQSEgcsfvLXGg4MpRTlmqROx3I3IcsXqQo2DQczWwQTXFQwmKVI8rGdOrzTJK1LdtfOdZxK90qzko9uHjCaZ7YNKMU8V+7w4HCZz5+E0s+6+X/UM8ctC6LtcPt1m53CG50o6jYCNqv/0JNRDjwMeOsx+lknF6eUGG7tjilLTqvtEgTsnnlnSpJgTmH3XEkiVsqLMVFkDSs+ReJ593tfCCG0My50aDw6mTJO8ct82ZGkORuC5EmMMC62AOFOopJj3DY+gKyFGFHqkeYnrOAiK+T13tALoigQphf2iEJYsejSzlJLH3vurRqHBcWyiiMHgOQ65KslyjTaW2SodSeRZEuWPfv8sgevw57/c4mCYMJxkYGw6ob33Q/74u2f43rVV/sd/8RFpXqKVHTQ5whJZw8BFACsLNXzP5cKpFqNpRuBJaoFNVY8ib25C+Sy4ruTvff/cl3+ivqVIspK7OyMwkFRL3T/+40sMJxl5qeg2Q/Z6lsR8f3fMbm9aJdDYlAkpDBTmsXl95EuKUn8jBI2fBUdaInf2iA7LwQpUjIFC2We8TXUSBL6kXQ8olabTCvjhO+tgYDDNObPc4PRyg9tbQ1YXarQbPmmu2R8mNCKf0TSfiziWuxFp/tCMKclKlDJcPd+d//1IWDqHsKKj8+sep5cb7A0S+qMUIeDNi4uVqM3wm9uHOFLwL/7qLm9e6FKPHs5Dbm0N+e5ry18YWdkYm1o9GGcEvsO1893filT9Cl8eLqy3uMeYvFCsLtS/sL2fNQWt+lsI6qFDqbRNYXMlUSCIsydXpi/6LOw0XaLAY5Zak7iD/oy0ePjejQCS6n6uBy5ZUc7XImUk7Zpklhb4noPnCMszEHZGPZjmaKwYqTfJOLfWYPvQ1nChLxhOT/ZPlzoheakJXId3ry4xGGdMZwVvXl7gJx/uIqStKQLPoTeKqz2GeJzAAZV4wwqjm5ELnkEZQ7PmM5wm9EZ2z+VIm+h7tMeRGPqTlKLQZIVm53DKSrdOV2l8z+Fn1/eZVKlpg5E164zTAgEsL9RY6oTcejAiCiSvnWvzs+sHNuHYCM6vtWjVfQpljZ97o5jxtKjqBUFvmDKc5UgB3YZPrqy5tBSCRs3DcQS+cebitvHUJh32JylrC7W56EsAP7++z+EoxZFx1VctyAuN61pjs4VeSJKVdJsh59dbNOs+pdIstsLHxGNaG5KstIYfn2Fmd/Vch42diRW4rTZfWGidFYqytMlM3wSTtOfBUjtioRXTiOxntPoS9l8396bkpa7SaqA3ePkSLITjAicFXUp9E6Wxv3vwXo5b+QSS3D5/RbXnTLPPdy29qt6+gfB9l/euLrPXjy1ByXf46ce7xGnJaJajlCYv7OBHSokyJUJb6p3nCqSUtJsB+70Ug6YotSWNfcEX+pNcuMA64VlFp0OpNaHvIIQGoxFCEIUeEhsfD7bR2W2EjOMCz7XEojPLLXojq2DPCtgbxKjKVSYIXITQLLaiKjrSkGUlSkNaKFwpuHK2Q3+cEPk22tVzBTfvDzHG4AjB2ZUWr19YQAjBjft9tDbUApfxLCcKvEqlaxhOci6f6lh1LJUjIYassHFn2piKXE8V7Wr/lMKh2woolGapFdKu1PT1yGNje8yN+wPy0jrjvH15ce423Kh5TOPCpmt4Dp1GQD1w+eP3T1MPLKl8GhdgDIHvEFVCF6UNy52Ia+cXGMUF64sN1hcbIKxTyrXzC+wcTmnVfOLMDsDqoUcYuPzp+2foNkM6Td9eY5OcWVrgufJEkXRmucGdByNkRYivVc29L0ohHgXuMxNqnoXQd/nR985+IcfxebDQjvjv/8s3Hvt6Ueq5gANgrx8znuUIIUizklIZxuOYbisEIbixOSLyXYJAsr5UZzS19/tgbBXUYdXIb9U9klQRZ4pCa0qtT6QABK5AAWVx8uYUQD0SxKl5oSGv54DnCJLczPczvi8pC/2YG/8Tv98VdvMnDI6QpC8QCec6cu68n+YlurS/iOMIRPUQ9IXA9xwMdqga+JL9fkIUOBTK0K57rHTrnF5pzpMtSqW5uTmgXQ/YH8YEgVV5f7oxYHt/ShR4LHcjiur+Ob/aYLCQcTBK8FyHaVIwiQt81yHOSoSAB/sTtvannFtrUQs8ljsR3VaA77sVqfrhvdKq+7x1afGJv/M4zvnXf32PLFf4vsN/8f1zLHftUKQ3SqiF1l00zRSjYw6br/D1Ik3zx772qHuMIwyl1vi+R+g7pJmg5luygjE2nWFt0bC6EPHTj3PSynkK7GANY++ndt2nFjqsLzXZOpjRL1NcR7C+2OL/9t99l//hn3/A4TDFGENaKDqNNo50WGgGNEKPrBggBQR+Tj1yURqans/f/t5ZytI2JbYPp5RFie+7ZHnJartGYSD0JKW27g/KGBxpB6q1wKXUmk4zJCtNRdSyYo69UYIxcPFUi4N+zP3cCpgMhtBz2O/PUKqKTa7OVacRoIxtPC20Ar7/1hr1yOPutnXCrIcuv//mOp/e67N5MGE4selWtchGpZbKDjiEfChNOL7sNSOfaVygtCV/KGWIAhdhFH/3Bxc5HMb22PszkrykKB8uskfrbak02th1+exak73BjJrvkqYl59aaNGsBudLs9BNWOjVqYY4nJa+d73K6aiQrZaj5DofjDEcKFloBV8+0GU5zFlohhdKsdCMW2g9TM965vMSdB0MGE+se93uvr1q33bo/H26X2rDarXHt/POTb9sNn4V2SH+UEgUe33t9FSGg2wp44+LS/Hk/nGTc3rKk44NqU77SrfHu1SXSrCQM3C8koevbAikFh8OEWVKQFdbJrPiSiQQCe51mha1Dzq022evPbO0Z2OeH0hAGHgutiCy3JAgM7PcTFlshSVYwHGdWeJUazq02aDV8wsCjGflzgtR4aqN9F9sBaWZr9XcuL564BjyvSpfyHJvi9AhOLdW5UxHZpYAzaw0Ohwn3tsdcOd0h8BxaNZ8ocPjwTg+tYZYV1CKX0TRndTGiWfP4k/fPEPqWWPlZQiLPlXOxk6ic7J5U01461Wbbt4SqlW7tuere8Sw/kX44nGSP3RPFVxiPe+18l+2DGdoY1pes2OHUUp3NPZvU06z7c0fMbwr2B8m8ho7Tkp1DW18dx4X1FitdS0T9MoluSp9M/cjLL7aJd7NKoPqmiCU8V/Lda8v8+IMdfvbJ3jfmuF7hFb5NKBREoSXqa5WTPjsI77eG5wiiwKuGEIZ88vQfaB3xH0/iqLjiVhQhoF6zCV4ATiUAVwpKXdAIbcKVFDYpaWWhhqpMZjb2JjjaPnsDz+Xsaov1JU1ZagaTgllW2t6HJym1IS8UCw2fK+e7zOKSWujxwWwfXYmnpRA0IgeMwHEtM+toMKqUoV7zyDKb4NuqByxUAobVbsStrSH7/YSlTsjp5VW2DmcI7POlUfNpO5IkLfjVjX22D6xzeKvmsbbYQFXM0iiwtTfYntYRTq82+Xu/f5YP7/SphS7/xQ8eungVpTVkuL87RhlbJyx3aiy2IwLPJviWVY/yaelfUkrWFmtzMuKZ1SbXLiwynmW06sEJUWot9Hj3yjJZXlqB/FPqdCuuYb5pch+peQ4GCfuDGN+TXFj/ahLFvmk4HCbzhLMkK3lwMJ33c5+GtaU6oe/iOZKZ/oLjbHVFtvgtthYCS4xSirnRg+9LjIZCKZtw4zuEgYPSEHiSxWZAqQ2O41SJFnY9sDtvwdpyjfOn2lw918GVkm4r5LuvrxB4Djc3B+z1YjpVH+uXN/ZxHYfTSzVKA/t9O8T++z84b3ve2ljXYUcymmQcDpPKxEhyarFOEDicXWnwwa2e/X2EQArJra2h7YsDWa64eKrN+dUGB4OE0LOk6aME9FrostyOuPvAJnE0Im9+PwshHk/qewoGkxRXCnIsYSFOyyfuHaZxPjdxKkvNxu4E1xHza2swyXjvytLvhPvkK3w+TJOCG5uD+XqtteHUcgNjDIOJFUB0m48TaeK0YJpYg6EocB+7PlsNn5WFGmlW8jcf77E/iCmVwfcddnszDocJaX5kNKd489IijZrH2mKdUmk+vN3j/t6ELC9RjsO9nRFFrgl8hzS3c5CsKNk5LK3zrrTpCnmpMFpxMEhIUrvXUtpQD11c16FZ82jVffb6M2ZJSZza5C5XCtLcusuqipwsHYFSCoG0PcvqFDjSmlF9VuJZZVBb1RiW7KzMkxM95LFm4+eRiyx3Qn747jrjac6nGwP6kxRRpZMZY2eszUbI+dUmvVGGEYY4saLSWuThuoLvXF2l2wxwHGkFNDsTlNYIRGWAUdIbJpxbb/EPvn+ef/5nN/npx7sUSlAUmjBwWWyHvH11iZVOjfWlOo2aT6Pm8/d/UOM3Nw+4fzAhcBzitOAnH26zfRjz/rVVFtohRsPZ1eY8dfVwlNpEsEmGKyX66PwI+P6ba7SqxOZn7d+VNnxyr48B0lxRlClLnYgzK082pHlePLqP/7YlCC+2o/nzyhgrruyPU3zPirOOY2WhhsGa9bUb/mfOlk4tN+i2QqLAJa96Wa2GNSpzpMMbFxbYH9jnmlI2+WNlIWKpE3I4SGjVrbO90bC6WKfTDDBKszdMMEazua/R2vbYHS0oCoXrSZqhxz/50VV2ezH/8sd3LDGyEqOfnIVaIysr/hBVD8e+RhnmJJrAd3ArwUkh7M+bG0ZWrxH89gk+n1c+Vmr7u5gqidggyC2nFc+zPcxLp5vUw4CVrk3aXunWyQpVicntICr0bJLOBzcPmMwKVhZr3N4a4bgOUSD53hsruK47J3duH1hDsW4joDdMLAky8BnPcq7f7fPu1aWXhhD5sqKoevLzv1f32fGUhjOrTf5+zeP//W8+5cqZBTb3RvQnGbXQw3dhMCkQSs0FSo5TpbsIgS7UVyJUcqvUm0eXVynsHsL1bNRmnpc8idMWeA5zazRjcKRN2TBQiRkNSaaRwpotLLUjSy52JBjDjz/YZrVb54PbPZYqQfi7V20a5t0HI+5VSchFqYj8k3vZs6tNzq42eXAwpV8lbSZpSbcZcOVMp+IO9EkzRavhnzBGcF3Jf/H98/TGKVHo0qr28HFqzVIPRwlZrri5OaRV97mw3p6L35S2RnNfBPrjdC54zHLF1v70KzGQeoUXh+85X0q/vdMMWF9q8GDfXuunVxpEFfdASkGnGRFnD13BQ88aFRpjkxTGs2c3JxdbvuXhOZL1hRqTtMR3bU2+ulBnf5CgtKYWOAgpUZUx7VE63pFA25o9ejTr9uL3XUFWGsrSEAXOfLavq9eWGlYXbB2Y5yXDY0JU17Wv8Rxnvrdo1HyMgMNhOk/VdByB70pGs4QsN4DBfSS1z4o9DSCQEuo1j8EkQyv7eoDhxP5sawBr+YpzUaiwCRJSiopbEKONqZJXMh4cxChlWGr7pIWmKO0JidMSIwSXT3cAu0YttULirKQWuCwt1Ph0Y0CclZxfa+BKydbB1CaVLNao1zyMsL3ZTitgZbHB5t6YTjPAdQSf3BvYoxcQJ2XVPzIkaUmclvN+0jTOORwlpJk19bi3M65qS4Mwkr3+bF7DHwwT3rq4+FSDC6UN1+/1mSU2ve/q2c5j9eZoajkd3WZALfR44+Ln4wj2Rok1STOW4/Daue5LUbf4nsM7l5dIMmtG8EXxLb9KuNKaPla3DfIl7GFdunSGn925d+Jrp5efzN97ha8W4iUcO5xZbhB6DrlQOEJwavnz9TBeiTi+AmhtSPOS4Dnc1ABmSUmrbt2W7+9OuLU5tKkPUuBI62SRFBqJwPMkXm4bd54ULHZqlEqz3ImsklMJylLbBfSRTMVH92yhJ06oZD8LvitxPYHnOGR5Sak0pXqo1I1Ch7K0qSHGKDzfujY4UpDmRTUcxipJpS3Azq01bcKEazcwniOJExvn7DiSvCgR0sYGB75DllsnwSPXDa1sJOjN+wMb277o23jQToQqrfopDBzefW2ZpXbEeJazcxgzjjOMtg2ueuiy3O3guw6+57LQDnn9bIdRXOA61oX/cJRUhZdLliswtrlaaI2QgqwoyQuXzkqDZs0n9K0zyVI75F//ZIPxLKesxDjDYy4y184v0BsmDCcp41mONrC+VOfMcpMwcFlfbnBurcndnTFrizWkkGzsjqlHHquLdVo1n/GxOFyMbeyvLdaphR229ids7ExwpOD1C13OrDTY2psynGT4nmSxHXF6pTGPWyyOVa9/8PYaK92ISRXJBoaldvSKQP4MuI51kj9qbtYir4qyK2k3AjxHWGI2sHM4RWvNaJoR93Kywsb1qUp4FAYuy50G42lOkpeM4+KxQa3A3ufClZSJQjoCox4KL6SEvLBtxCelbviOQFfFVlHdV64Ez3MqcoR17XRdiVbaFmOPdH8ebVIGnhUvdLohs6SwaRpHA4nqNUeRi8chhRVNteq2kZxmJf2xbbDaiHAb2R36DhJBrjRKW4V7t+ETBC5R6NL1Xf7o3XVc1649zZpPLXC5cX+AMdZ17OM7PaLK9S4vFUHgUCrD6+e7eJ7Da+e7OFJSC31cz+HDOwdM4oJuI6QoS147v4ArZdX8F2S5IvAcLpxu2ZMh4NRS4wSp41EobdjrzSiU5sH+xK4rWHfs6xuDeVz4QjPElc9+jkzjnN4oJfCdz+3G9govjrx4vPPoOieTqBZaAWfXO9zbHlNWkZ21yLrJH45SHhxOadU83rq4zPWNAUobikrFPk/lKA1KQ1YYltoh9dASDJo1H8eRqNISl0plRZxSwtuXFvnN7R6ltqTra+e6fOe1Zf7s55vc3xnTCD3+0R9d4K1LSzQin+3DCf1xytb+zLpcKsP59SYbuxNWuhHGQJIWNiUq0Cx2Ila6Ne7tjObNyVNLdfqTzIo8XId23ceRkllWIqtniCMkWamoejLzNSHNSvJC4zi27smyksNBSpaV8wbpNLHX+fahPca8sOtiXjoUpcF1qnQQBMudOv1xRpIplLZNXo3dUHquwHWt6OD0Up1WI2R9sc7NzQH9UcYkzu25F/bojgSdUgqWOjZ6/MqZDt95bYX3riyxtT/B9x3u70wYTRKunF1ACsH6cp1Z4rHYjnj/2gqdZshiJ2K3N2NtscFOb0KSKd6+vMSVMx1+c+uQ5jHS1nExULPu809+dJXhJKNZt2kK93ZGbOxN5mvO33rvNOfXmi90/wshuHKmgz5l+ODWwfzZZQxkeYnn2uOZPcI0nCUFdO1g4GlEs99laG0FQmuLDUoNo1kGlGSF/lxDvWfh6LHsSPB9B0faVJRJWjCa5Sy0Axwp2D6c2Ye90Sx1Ipp1j3s7Y+tyWPfwPZflrsNollf3nOG915YJfXcu3DkSAoS+ZDDJAFsX/8l3z/Cd15bZ3LPrSC10OVO58/34gx02dsc0Ip+//b0z8xryH/7wIkpptnsxF041effy8jyKV0rrNrO+VKdZ8zi/3mY8y5DV71EPPBxhiZ5PS5l5Eq6c7bKxM67IEbbBeWG99djrHEe+sDtjLXBPFERR4NKu+0ShS5Ja4efa4lfnrOK5Ducf+d3++DunubU1oig1l8+0HyNqft0wj9wdT7tXvgqXYt9z5gI34IWus89CqTS3t4bAN0fEAfD7b6zy4w92+OnHu/yf/sHrX/fhvMIrfOtgk6A0eam/NJdoQZWgiXXErfmSUgvKUs17AUIc1cv2EHxPsLZQJ8kVUeCysTs5UYO+fq7FLNV02yHvXV1iNEnRBm5tjbi9NbJOeRrchk+r5s8JR0lWkGYl0pHUQ4+iUFXClpzXu6Uy/OCtVcZxQRR47BxOGUxyTGj7ha16yHeuWrL8Tm/K3e0xWmta9YD3r60wSXLa9YAH+1PirERrSxTtDa3rPkLQqnusLtQwBoazFK0NYWhT8i6eanFmtQEI3jlGnt4fzNg6mFlyKNAbZ3RaEWWpqIVW9Dye2XTf96+t8JtbNnV3qRPxR++d5r2rK4SBS1Eqfn3zgLxQxFlhnbClQOWawdiKOKzIwuHm1nCekHf5TPupBPK//f5Zbm7ZvsaVs118V7LcffJrPVfOa/mnIfRdK149nOI6kovrLXZ7s3nCyr2dMRiYJWDM+Bv13Pqq8Hnu1DSzQ/HAd0HkX+jtrgHzgoQseex/Hv3eUgNFSafm4rjW4CjwJU7V73r76qK9ztoRYeiyuTdmbaHO6ZUGo2nG/f0xnnRYWajRbQbz3lXgSbpV4tt7V1fg6sOfeflsh6LULLZDPNehLPVT69I3Li1Yk4TDaXXddzi93ODUcpP7e1MOh3afYokjD2vEI4fP919fw3Ecbm8N6bYC/uS7p+ev+cd/coVGzefezphTy3X+6L1TL3ZioUpEqLPXt729K2c6T6xVn3QJzJKHjaOy1Nag4iUcgL/CV4M4KU5cSNPK5vbu9nh+HzRrCdfOd8gKm5YapyWfbvTnJK43LizQrPmcXW1yMIwJPIfza3bfuz+ImSX5/PrV2pBVzc0kt/26vFQcDpM5OXxzb8IsyYkTm5AV+o4VsLmGojcDQFXPzjgtcRzBUjui1IbLp9pkhWK3N0NpPTd5W1us23QqV1IPXDYLa0Jw9KsfJRtppUBawYXnOpVx1sPXhZ5gqVvjcJigCz2vbR413rG/61H6h0BIQeS7uI5gkuRkuU0LCwKJgyVoJZmq6jn7fdpwwrhOAuYJP8eRVmR78/5wXg82Ip8kL2j6DmAwRrDSrfH+66vsHk64vT3GGNtLdqRAKc1vbvfoNAN6oxSlrIGcWyUxFKVCG0EYWiHh+nKD/+t/8x7/z/+pZG8YUwtclrs1/vt/8AZZaQl5x9N8dw6ts+ruwYzhJENjCD2XpU7Enplx9UyXTjPgtXNdJnHO9XsDltsR0rEzm7OrDc6uNjkcJqwv1VnqPF8PpCis8DcKPN5/fYXeMOH33lx9Yrrdi2CxHbHXi6teufhWJwgLYU0Oj2a8T8KLuv1Ggcu7V5bna8xS52HNWY88GqnH7QdDpJAklcHPH75ziqJU3NsZz4XEnbrP4cjW4e2aT+vyEsvdGr1xAgjGcc5+L0YiiCJ3LjYJfQ/f1ci8pChsrRAFVoiwO5ihjSDwbKJdWWpwwRiNqfgKQkFuFEpKpDAYBNroEzPJ0LW9xZoPQkpm6YsZeFjDLInrOuR5QVE+wQDTsXPQR7/eCAVZaa//WuhSYOYkSwCjNUZIQs+jFlkxuDE20XU0TQl8l1LZpJuiLNkbJFViU87lM23evrLELPn/s/dfP5ZleX4v9tlre3O8CW8yIl1lZtmuat8znGEPx/CSFAmSV9AVpQdJD3oS9CDcP0KAIED3QW+CIFyIICBBV9ClGQ6HM8OZNtO+qsunDe+ON9vvrYe142REmsos02V64vtQVZEVGWfHOXuv9Vu/39dE1DwL09BRFIWVtoemCdIsK/gXCostjziWJPU4yVCUtEjd/uQsqjSVdY1laE+9H/+uw7P1mcEnCsw9rWdczMU9R5ohCDHG0rUZVyWIUvwgxrENTF3W74NxxKd515/EI3gSNE0+g27R+x6dqW1P+wKtsk2UZgRRQm8YzH5ulksSd5xKIVZGTpZCmGTExf2X81CQdZrWvTpXQlGgMwjpDgNUVWCaGmGYsnM44ufvH3Fjvc4//O4lbmw2sCyNKE6Yq7vo+pNn9fkjG/bpl6au8tLllhRdCIWj7hQ/TKhXLEqOgaaJx9bV0/PPqSjHtXVKrtyfTUNyjz4q1fHj4tFa4wJ/9xAnKRsLFQxN1qlzdYvNpRq9cYipqehCEuejJEfXFJbnPI47AUmaUXIMoig5xxOc9Q6R4mLXMYgGAboqME2d42EkU/VCWGxIUWGSQa2kc9IrkmoVaaA44zcg+1P1kjVLabBNyfeLhDSgU3KN3kTy9gxDw9ZV/Eg+R4auznhXCuCZxsy0rlq26A59FATDScRR4lNxTcJoiqVrzDVsdo/HKEoyWxfPdmQdU5o9RLFME86yHF3TUIWsF/aPxkzC4nm2pIjj1HHdszWyXJrRWoZKtWTSHQYEYUqtbHLYLUyaydk9kQWCoQpQ5N6v5A+vQwFadZuJn+DaGtuHI1QhjZd3jibkuUzgyFEYT2NKtuzdCAWqJYs0y1lfrEgupS7wF1ImYULFMRhNIkbTmBwVXZNzTz9Mizci597+CNMQ8vcSCrWyJbkBunq+Fshlffa0NLfBOCwSYeRZcv9kco5PeNid8mBfio12NcGtzeYnFjHsHU9IkowsyxmMo5lpwVcBo6lMsXVt/Vxt/VXB5ZUqZUdnHCSoCmwsfbrz2heBpvv4vXJhUvrlQPQZ+yB9Hlidr7A6X+Zk4FO2da59wtnJhYjjM0R/FJLlOVXPnB1GkzTj3ftd/CBBUwXX12uPNfDTNGPrcEQQpjSqFuUiInYaJISx/LOscKCjGPy0a4KDzhTLUDF1m+urNaIkx7FktF+rbrN34tIfhYzTWKrXn1HA67pKFCfPjAAGsIqGiKLkuLYuBRVhwjSI0TSNLM9wbenGYRoqSc+XjvmqQBFK4SgjmyWaKrix1gAh0FVBdxDMnOlMQ8PQNYQimwlRoiCKmMRW1aFWMjB1lXt7A1ng5JJslWSyoVlxTU76PseDAM/RubRUoeIaNMsW/XEIOQVJNidJUlQhmz+dQUjVMwijjCTNWJ4v4wwD4jilUbGwTJXOIKDi6hiaQqVskmUTyp7BYBIyV3cI44zDro8qBAstl1evtQFJ7OoMfeI4xTb1c863qlBo1x3euDHPnd0BSSL9Be/tPYwnrpYsXi1ZXFmpcdCZFO+TJOq5tk69Ys/U0ooiHf87A5+dwxETP+GFS3VUIR6LIY7iDFXIYvP0/j1bUAkhuLzyd29I+2mgKAorcyV++cFx0RgrMfUTEktGupmGxuXlKgcnE+nwJASNio5/LMUOcZE+I1RBGGUy+cFUpVt2IbY4+1jnAJlUvuq6fMZOW42aJkVOWZZj6II0zTGEgqYJwjiFLMd1TSxDZTyNqOgKfiyFVIoiCeqGpmFbinTPSk5TWHKSNJeDCuQAQi/SKXRV3pO6KmjXbALHJIyk61d/EhFHkmBO4WwlCqGaIpD3s2NQL5m0qjZjP2YaJpRVgR+nGLrAMVQ818RQFYSmYqiCiquDIqiWbYRQEIocMFWKocvtnQGqJomfmiqIk5TbO332TsbEScZc3aXsyiHW115os9j0EELhqDflz+9s0R2GHJxMqZVNUKRj+TdvmQwnMWGcUi+bLDQdhBCc9KeEUSqdkJ6iRj/Fvd0B3aE81B50puea7Gcji5fbHh9s9UnSjHrZovxIcemHiXSrKm6MJM1Ybv92RIN/2dEqu4ym56PKz+678gwsCQ9BmBYDDZXldon7+0P5HE5kUy9JUuYbDn6YkiP3KE0r3DFVgWPJqGQ/SlhbKNMbhZi6ylLLw48laShHEu8dS0dThUxyMB8OP/qjkKWGx0ubTaoli4pnSLFh1Wb/xMOxpPJ/93hMfxwSx3KoKCMtM1RVOmoqClxbrREnGaYhXyuMY8ZBwsqcJ0k/pk61ZPL9N1b5v/+Pb9MbhuS5dLN49doco8kO/XF07s1K0owsA10VDCYRu8cjJmFKq2oX61YCuWz6TvyYKEmIYtkGKrz1UYXANFUaNYuvefNUPIPJNOL2jiR9mbpKyTWICzK9YxuMpiHdQkjphwkoRdKZKusQoYBVDIlW2h6Nii0bMqOA5XaJzeUqf/vOAXGSEWcKvVGIZxt0BwFzdQfPNniwP6JasmjXnFkqwUtXmufundX5Eh9u98mynHbdeawZ4lg6jqXTGfj86Y/vczIIsAw56HZMvdjPP1mLXgiFimfOyPqykfbwyFB2DXbPdLeqF2LOj4QQCmmW0Rn6uJbGcrPEUX/KYBwSRJ+tDZahCUxduuR6jsZiq4RQFISi0GrYTIOEKEyxdJVK2WR5rszmcoUoyfDvdVEUBUPX0DSFkmOytrCCpgoqnkm75jAYhxz3/dln36jYbCxVKdkWuycjGhWbl6+0gIcOVqe4tzeQ5D9gNI34+XtH/N7rK7Pr/qe/d4Wj7pT7B0PevH2CedYRS4Ff3zmhMwhAgW/enGe5XTpHdnqSkO6j4Nn6UxOxPi08x+DycpXuIMAy1VktceNSg4kfY2gC6yOEnZ8HhBBfavJlu+bQHQRMA7lXLnyGwolPgsvLVUb1CKEoT21OfxLc3x8SJRmurbPY/GJ/x7P42gsyien2zoCj7pT2VzDO+QIX+DJjNJVD0zyXBD3TgLgYlCrKs12in4YzhtCYhoIQKkIoGCp0hgFpJpMBVaEg8sIAQoGyY5GRQQblksVyMezaPRpLF3xkb6NWtlloS0KIrgo814Rc7qm6ppCksmY2VIXD3gRFUXh5s87dvREjP6LsGoW4VS+SfRWyPCcoyA/fe2WN0SRG1wV/9fMdfvLuIUmaUrFNlgvnIkkwtDk4mcrkX1Pl0mIZz5H1qKlrvL/VI8syNFWHqiQ5yl6LNSO0/eitCSM/IUtzxn7Mcd9noeWioMxSngBUIc0g8iKaRACbSxXZT9EFlxYrsySGD7d78vyATBPoDgLSLH+MJNofhtLwQ1OJY0ler5ZMltsenmPManCAziB4qohD0wQvrH+2tUyzas8Gh9uHI/ZPJPF2GiSFSYmszz5u3fXbgmZVpqOOp9K4YOE59m7H0llbKPGL91UpuP6M37ocSQZWhEKS5LPUbEmWUgiihzefriqFK7UkUTyJwJznkkR4ed4jTFIqrskkkIPwMEpJkoyOCFiySrx0uc3u8ZiSY/D2vQ6aIoVay22X1hmybvgR98uj9/dHCYuXWh6KonBttYZlqniOQZLIhNrXr8+hCkliWJn3GE3imTHRaW97baHMuHAdty1dJuoUMDTBH35z/aPf7GdgqeUVZBmHesV6qitlyTFoVm1O+j6qKvvGx72pPOvw0NXzAhd4GkquMXNwhof3eGfwcP/oT0LevN0hilOEUHAsbfa8Z1lOdxjg2joLTffcWvbu/Q6/+uCYw+6UimuiaVKQ8dKVFr1RSGcQ0KrarMyV8ByDZrFnToNEXlOeMQkiTEPgWgaNqkWa5xyeTBj7EeTSqCpNc+brLrWyxdpCmc7Axy5SXTVVoVExubZWJ89zLENj7Mc0KjajSfgYsTor/pEBFPvw2aUtzWS/XFMV4qRYI1UFS1PJ85xJkewBsjYSioJuqOiqFFNMw5Q8V7BNgaGrLDQdLMNg93g4E5Lk5Gin5GQFNCUnTEHwcEZ81unX0ESRDJIzCSSRzLM1VCEou7pMI8+h5OgyoUPI97NetlGF7Ed6jsFBZ8qD/RGerVP1TCqeMSOdBHGKXvSDW8XerqmC/+0/f5lffnBMnGa8dLlJrWLRHQYcdmSfanW+jK4JOoOAOEnpjULiJAUUJmlMPZOpwfCQoFpyDF671sI4nTMBrZrNQtNjoXk+BeJZMHSZ/hSEKa6ls3K19KkFHCDnKy9ebjLxY2xT+0yJs19WfNaEeVHMrs8iyzL+4uc73Nkd0B8GXFurY5uSxN2q2dRKFtWShWfrlByDe3sDjopaN8lyqp5BZaXG/NRl7Mds7Q9wFkqoQiVOUn745j71ikXVsxhOQ1arthQ+CaiXbe7s9IkTaViXKBmOrVNxdfqjiGmYkGYJQoM0YVYgWZaOqgqZLJw9tBBJ8gxDU/FcAz983I1cBVRNIUrOF08CaQ6jCElUFSKn5lmMpglBmMzmswqFoORMAaYq8mcqQqXi6QVRViHSpHGmVph72aZWmDzKNXv7UArXlYL8rgpFuqkrkKEQJymOqRLFKcfdKdfW6qhCpgm2qjZJmhOnOUlRmJ70JwhFYanlEcVybnW6d3waIts0iHnvQY8kkee2F9YbvxGn6ShOGU0jbFP7XMxePg2yLKc/lonsp/u3EArX1+qM/Ri9EChNg4Qfv71PEKZcX6/RKFv8hx/dZxLIlJ21uTLff2OVkR/z5u1jtILgK2tQm/fvdzjqy4Sr033m43L8FeTamecZUfLRHCPHVGlW5TzT0DP0SCaQSmMJCKKMwTQszN2kW72mSDMHshyhyvl+lGZkxf2ZSc9E0jQvkjxViDNMTWBbUlT4/na/MEQUaKqKqaoMQmnM5lg6g2nET9454tsvLRBGKVmW06rZT+3tztVdeqMQP0iwLe0xIx9VKOwdj9k5ksLSo96UmxuNJ9538w2Xb7+0yE/eOSDJMjYXK9iWzsZiBRQ+c5JxvWxxMvAZjiN0TbDU+nj77wW++tCEwHN1rjky0cDQBeuLZdTDUWEyZzMJpLGIZWpEUUqlJA1SLV3DbJUYTiPyPKdapOCdzi8rnoFr6aiKnLuf9H2yLJeGD1mOpgs2V6qEYcrqnMeP3zkkp9hLFRDhw3pb0wSGIRhPMxRTxTRU4lSaScZxJp3MTY0ky5iryfSwOAtn/EB9IGbnIFHMwR1LR0GgC5UwyaTZqiHwo5QwzkAkxGFEEKYPe65CphFnhVLFMnVaNYexH1MvW3T6U+LCgTKMEvwoISt6g2GSsdg26Q9jNE1huV3ioOOjqxmGLpj6SZEQdmr0q2AZqhTdaXA8jeX6h6x91xbLHHamGJqgUbX4xfvH6Jo6S/g4hVAUTFMlTmSiWKlIGRlN5XNv6Cpl12A8jSWPytIouSZBlOBaOqap8qsPjgnjlEsLZZbnSjMTmSBOuLs7YPtwjKYp/M6ri1RLNt2BT8k1uLZaZ1AYSQuhUHoC+f0U6iM16KO1xNlza5xkjKcRtWfwqJ6GSRBzb28wS1W9tfnVSFEYjEM+2OrNvs7yfMYX+argynKVesUmSqaoqsJLm81n/6UvGZrtx/fKkvnJ7sULXEAIWa/WSya6pn7i8/hFR/gzwv39IUeFY2zZM7hWRDV1BgF+4bSfpBn7JxM2H4mv2z4az4Z0o2nEC5fq3LhU56TvF9HBOnONkChKSbKMimegKFLpHUUp9bLFtbUaB72AKEpQFJ04zri2VmUaSILyeCqdcM5CFBLa0wFPloNlKoRnVLa2qTL209lgRyAV9Y6pYtu6LORKpiSG5jm3dwcyAjBVqDgGw2lUJE3k1Eo25LlMIxiHZICmgKIIPNegXXMxDZXdE9mAIIeKK1idL3PYnTANEkqOYGOxjGvr3LpUx3FMgjDEMDTCQqnqWBqWLtg+eOgAvDpfktHuimyqhol0u6t6BvWydCUeTkImQcLYj/GDmJpnYhqy0TGcRKhCEEQJo2nMpYUy7ZrNt15cRNcEx12f/fkJYz9mNIloVC22D8YYRUNieIacGicZtbJFEmeYpsr0CQ2hWtniNc/k3t6AziBgNI2KJoQ6c7n2bJ3Ly1UuLVY4LuJqW1UbVZUDdT9MZnGbd3YH5FlOkmYc9XwWGi5zdYc4yWZKWBT5uhXPZDAOZYpB6WKT+jTI85wH+6PZYfy4P+X6Wo3+OGTsx7y/1ePlKy3+4BurzDcc7u0N2T4cYRiaFBaluYzKFXJg0qhIZfrllTLTKCYIEp40C82Rrt9BlEg3bl3gOTpBmKIokjjtWDrVkkF3EKL4MVXPQBGCkqOz3PKwLY0Pt/pFNKKCqig0a/YsScQoFNeWocmGX5KRJBmpkuPq6mxNSYuYwRfWZMT63759QFoMbEaTmIkfkxZpHjnSoU9VBfNNB1vXqFVs1hfL6Krg5StNusMQy1S5vzeSpHFdMA1iNubLhVt3ifWFMj94a580zTnuT6m6FmXX5PauTDZII+RzWrHkoSvLiRKZWtAfBVRLJl+/OX9uiDUYBxz3A5k6lOVEcYZrS6fzxXaJeG9IZxAUn7XCZBrx4EC64h/3fVp1h+WPaJoc9adsH4xIs5xaycRzdAZj6YB+80zR6zkGr16Tjh9PaqBOg/jcEF4q+y/weeBbL89x9+C8iIPCpcI2BUmak6GwfTjGjxLWF8oEYcLKXIl7u4MiqlPuFz98Z588k8JMx9IZ+xGepeFHKVXPpFl10DWFzaUKr12fpzvwmfgx3VHArz48wTU11IaLQk7ZMTANjZW2h23pRFHCTpJx0vfxw4Ra2cLQVPJMikrfK2KBQQoJrq3Veftuh1CVqVO1ssk0SKi4UlTkmhovrNc5OJlwb08StIMwQxcxZadMpV1iY6nKfMNhoekx1/B4cDAiTnIsQ6VSEBiiJJVuaykYqkZSxJCqmqDkGqzMlzBUIZ3nsgxDV+kOQ4aTCEXJSTOFnLxI75BCTstSMVTpwHXS95lMI4aTiHrZlOSk+z3pbhWnpHlGnmckaU4QykjlOEkxNANTi6mXTI77UxRFCkNcS+flK81ieKwwHEd84Pe4vl7jgwfy4F1ydI56U9bmPCqeORNdpc9hi1PxpKtwlj/5WT/FX/xsGz9MmQRyPf32iwsIIT4y+ed5sL4ga60kzWhW7HNJciXH4MZ6neEkwrX1i0SuZyDPcnaOx0W9JZtsUZR85gIOFSkUfvlqm6/fmkcTshbsjQJaNYeSYzBXt/mPP9rCNB/WeKcJNesLZbJcNl4XWy4LTe+xZlvFM7m+Vue4N+Wo53N7p89C0+Xaeo1r6w8FAVEs642zg7n0EUbq6d5/FttHo9lEKYxS1hfLJIl0+Tx9rsjhzQ9P2FyuUvEMBkWN/WVrcNXLjxO3ThPGLvBsaKp04ImTDE395KK0zxK/CQef00bt1ZXql+J3PEWtZPHiZpM3b5/wl7/Y4V/8/atf9CVd4AK/XVDk4DFOQBPSBMEsqygCeqOAiX/+kK8U/5Du2ZL8owkoF+RqTShIA/3T1Eq5L2qaiqGpbB+OZqKROJe9AlUIFCGHhSXbIM9zHFOjWTbZ7/jUyxaayqzfoCg5iiJI04xIgb2TCWVX1oBxKmuJNM9RMilKL5ctFBR+8t4xVc/CMXWCICFJpcBbKEohInel8UFZkrzm6vIMXimZ1EoWSZpSK1lsLFVp1x1UofCjX++x2HJJsxzT0GZ1jucYpFmGphVOf3nGvb0hSZEm+sJ6Yya4uLs7wA8PpHmCAvudCW5hsPKff/Zw3Ws3XF663ODD7T5CUbi6WmV1vkwYpbi2dm6vP1vi+2FCmuWUHIM8h8PelLmiVmlUbSaBTDOO45QXLtV56XILzzEYTqJzIo4sz/nVB8ekWc7ynPe51jtnewmmqZ6r5f6uivvUQpSbpNlzi+Z1TXDzUpP//LMd9k/GxOlnb5GqALah4mcJhecLuQKq0HDMlDjNJSnR0QnjlDBKiApTFUVR5DXlcjZg6oIrq1X+wTfWyHN4f6tHZ6CwOldiWIhXbFNn4sfUyyaXV6rc3RliGSppmnMy9DH3NSxDo+JJ04fP6r5VCnIhSALcO/c6TIuZy2LL5Y0b87PvDeOUTt9H11SaVfmcBmFSkHd1yGHnaPyZPlNCKM9NltpYqrA6XwjuhULJkeTWJJPp6o+ewy5wgbOwTY0bl+r0RyG2qc0IL1ZBnAaZnpsmsncmXUnDIlldwrFkzyjPZU9cEwrHfZ+fvXtElkuyZJRI4ujLV9vYpsZ/9d0Nbu/0ef9+F9NQaValaVGaZtze6fH2nQ6dfoiqSlKPoQvaNZlg2x0E/OrDI6ZhQp4reLbO+mKZk77PX/5imzCSxK5Ts4PluRJfvznPne0B72912T0eo2sql5crpHnOaBKRpDn5owZXuVx34zN7VprmhfFM4SCby/rHNDWiKCFOw1kSrSYULEOT/VhT47jvS/Io8lmtuAarc2X+xd+/yv/l3/yCe3sjhA5hnKHpgrJtUimbGJqCkucMpwlCURhMQmkoh+zbmIaO62jSSENTMDQNlBxNU6mVLYbTiJc2m9TLJr1RSJTL9bnsGlKAYGjSOEuToheAlSJJpV23ubRQYftozGgi+yVnXd09x+C7rzxMIgrChNs7/dkbmeU5V1Zq2KZWpI3L+0YI2eNZXyxT8UxW50vnZoeqKnjhUp2TgY+miplw5ONCJsU0OO5PZbrsZ+hKe2pScoHPDkc9n73jCZoQZMCHW33mGg6aqtAdBlQ8k7m6g21qLDRdusMARVFk8oOQQsYwkSnBhi6YbzjsHI057E7ximdkNI2pV0w0TUHXFRpVhyhJGU2imWBTUwXVksX3v77KcBLxo1/vk+WQxBlpLt26FaRQcrHp4dk6v757QpJKTgECHF2jWpg/nq4Jp9AEXFqssnsyQhPg2hpBLGcXUSwFCtMwARSyVBIrNU1BSeBUxSEK4zp5LTJp3SlI4kstjxzpJj0OIlpViyDKUHJ5jik5BqsLFb72wpzkMfgRmqayezQmjGUCR57lmLqcI+dZDii4tsb19Ro3Nxoc9XzCKKXimedq2CCSYpNq2cI2NBxbxw9jHFNjc/nT9aoOu1OZjAIEYUpn4H+m6bYgr//tux05h1bg6kptxov4siHPc95/0GM0fbg2r83L5OQolsJkvRBP/uDNPQ6KJKsfvOmzvlBipzBZsHXB9tGIk4FPGKeUbQOrJO/BD7f7GNqIJE0pOQa6LnAtlbhwyCeH5zmOnKZn6LqQBOgnqEBUCvGjKjANTZo9CMFRGGMYGiKRJqk5CppQCKKUkiNFHKYhMIs0jKAglAuhEPkZWS57F6e8pCzPqLrSYGoaRKhCpVmzC0HTCIEkmFc8i4WGQ3ckzc4MXVB2dNIse+5Zm64JXiz60U8THJ1+fvIzlYloTxMPbSxVWF+Q9c5pnf9pkm0+CqdioI9zVr3AVwPDScRgHOJY2lNNPkCmVnz7pUV+8cExqqLw2vUW3YF0+ReKwtpime8LwdbhiOW2x8/fO+S4L9OxYpHz/a8v82B/TJpmvLBR5y9/vsv93QFCVWjXbRQElqmjKGAZKoqIiOMc0xDSxBnJ/emNI1bnSzNTEMdU2Uoz4jiXe6Gq4lkGelNFVwV7x2NQFFRVIc4ybFtlaU72XcqeyXAia2ilSJYoO2HBhcmxLZWKaxTCc416RZoTerZGBvSGvhSNqIIHRz7y8ZfPhioUDEOm+J3O7fwwgTxnVKQEy/QwKbY+hzxnqeEhFB9dk2a4SSbnWHkmz1HVkkEYp3LOnmQcJRkqoOkCw4hJA5mAYRoq//h7m5z0ptiWTEV+sDdk7Cd4jsa1tToHHbmfNqsWmqpwd2+EUOT7eTIIcEwNRYHd4xH1cgtNE+iayvpCmTCWXMBqyWRtvsS11TpRlNBuuARhwv39YdG3sakVRtaKIlAVgWdrJImBV4j/NVWhPwpZnS99JAeh4pksNF0OOhMcS2d1/rzZrG1qD3uOxXvwSaGpUrySptIg/KxZx5cZM35mgfE0pv3l9dx7Ij7Y7jH2Y5QiyeXtux3+xRd9UR8TdfvxmtExvtyC4OfBbwPD96vYFh37EZYphYmWoc74dh8XFyKOT4mxH7N3PObd+12aFRtdEwzHEVEiHZ4fbbqrqiQc7xyNydKcnJydozG6LmZR32GU0qzarM7r1MoW+ycTXrnSQkHh7sGAo86UD7f7qEJgmSphnHJ7d8BoEqNpgt7Qp+SYKMBwGlN2DAxNxdIjeqOQvBjM1Esmo2kkVaapbGRYloGmpVJJq6pUPZO9zhiynCjJcR0NQ1OplSyEUHAdDdvQKbsGV1eqHPUDJtMIz9a4tFjiR78+KFwdZGRmyTFRFIFhqOiB/Lela1xfq3Ftrcl7DzryUJ9LB5+twzHzDYerqzX6o5D+JCTLoTsM6AxDjgchtqkyX5fKWKHIQ+XdvSGNqkXNMxlMZFz9+kKZhYbLfneCHySkWcZx3+f6mmwuHnZlNHCc5niOwWLbxbUMVudK/Pz9Yw66E8ghSVNW5sq8crX1UBW6AQedCce9KXsnEzxbOnoJRQ5iltolkjRj+3DEcBrKmHghr9VznrwRCKHMmlAgHfjeuddhea7E4hkHG1UojzU+amWL032+NwyKYZwycwW7XkRmS0dChSiW7uanBddn6TD7dxlpIZw5RdmRbm8H3SmupZOmGX/58x1evtriuy8vcW2tzs/ePeL2TpdfvH+CJhQZoeuprC6UWWp69EcBSZZT9ywGBEyjtHCfl1AU6eyXIsUXuibQVRVVETSreuF0kdOsOrRrNlHcLZyyQAcMTaVdd8iynI3lCv1xiG2obCxWWGh5/PlPt5kEiYzkznIsTSfPUxAKuiXIcgXP1qiXS/THIUJRuHGpxsZSBUVR+NaLC2wfjUiTTKZiqDlBmBVuGTlpLknn11YbjP2YuYZDq+qgKLDSLlGvWOQ5/J//9c8ZTSM6UYrnyCj2OElpV21W5sr8oWOwfTjipO9Scg32OxPevdvDtlQWGx7rCyUqnkkQpxxZBt2hT5bJOMgrK9Vz7psA42lCrWQCplznCxHIS5eblB2DJM1mkeMTP6Y3CmZNrTTNmZxp7DwJZ5vOg3HEP/ruJdynkAUVRZkNaB6Fa+nn3NguyKKfH04G4bl4YVUB21IJItkkHE5iTE3hZDAlinNW2jlhnBXOdx7xwVCKG3VB1ZMRlW5RDwRBhGUauLZWOFMqvHFjjpub0vF+ue3x/oMed/YG0hUiyXAtlZV2GUMXCAGXFmWE2+2dPkbRID3sTpn4MWZZZWW+xNiPzxWUx33ZWL+50WA0jbi906PsWUyDmP3OhEbZolGxWWh5LLZKfLgzYDiRYidDF7z3YMBcPeIf/c5lojjlg60enq0xV3dlA7fYm26sy+FzoqpESUqjYpDn0sGqVbHxo5jDjowoXmg4JGnOYCKdJDRVkJOha9JdT8mlq5auCfIMclUOZ/0woWTr1MsWfpjSqjpkq+AVQgtdVXEstRCYpJRLFtNQRn03qjbfenGed+52SVMZ46ypgu5IkqyW256Ma0+zWbRzXjhktGsO33ppiQcHQw47UxQF1h5pWKRpxvbRmDBKaNecWW0hhDJz7XsSkiSTUafIZz/L8iJ20/nU0ZtKce1Pg1cQ5S7wbERJgibEjJT4wS+7zxVD/jw4FX9lGRiGgOJs8J2XHg7kp4FMiio7Bqoq+NbLi7x/v0uUZJQcnapnEKcZ3UGAWrjSVUvWU4lDZdcoInwlQXLncEzVM2fDiplrswLr8+UZyW99ocLtnQEnfR9DU2eJHWehCUGanrJFoVa4FZw6vJxC1QSKonB1tcZwEhXEp4v78auEKE7ZPpTi1cWm+9T15Dfh0PdlwpsfngDwwqUvn0PQ33ttmTdvn/Cff7bNP//9KxfDvwtc4DPEQt1FKAqaEAgFmlWrIJQpxRmaGSlRQRIjQJqgIAQKGbqmsrZQIstlTyiMUrYOhpLUYWqszHlEcY6uq2wdDAvOhYIq5OsJIQecNzZq3NkZEMc5G8sltg7GJGlGbxQQp/msEs2ApTnZIzN1ldvb/VmS5GSaUPZMkjhD1QWTKCUdhigKxGdcJ1RVsDpXRtdUNFVhvulQdkwoSs7BOKJVnMNLjsFSyyWK5VlKFcqMbLHSLjH2E/Jc1r5BlOKHPt2hdDSduTUrcH29zs7RmFbV5pu3FmbXsr5YZmOhzGAa4lo6uv6wPR5GKVGSYWgCQxP8s9+7wl//cg9NE/z911eK15OmKSXHoDcK0FXBYstjPI1JUnnNZ9MqFupuUbPlzNUd3rjeZr87peQY54bwZdfg0mKF3ijANjVO+v6sT3B/fzirjT4PlD1jRlDRVcHLmw3Cotf9ZXe4/U3j4zgSx0nKW3dOqLlG4dr4fAcBTQVVEaR5RvKMmU+OdLG1DI0kTWZiak0VVEoWrqVjWzqLDYftozEHnQm9UUiaZeiqStlTiRMZb31lucZ3Xl3i0lKFxabH1bUa93YHnAx83rp9wihOKTnS7bFRsbmyWmM0iTnqTdg7mZAXRGPH0tlcruBa+m8kgW4aJpz0fXoj+dwLwSyFduLH7B6PEUJhpWrPahghlHMEtLPnndE0Ik3zmXHW54Gz95GiPO5ufoELfBRO01nP4upqje3D0azHvHc8wXN0FhourZqDY8pEi7Ir954sy/lgu8dwLOeDpxoPoSjUyxatms03X1ykNwzYOhiS5TAch3KPK0jXp+f1aZBQdg1cRwoL0ixn62hIyTPQVUFvGPLK1fZMPNWuO9zbG/D+gx7TICIMJWGr6lk0qjZrc2Wur9XJ0py/eXMPx9Jl6mguewv3dvtMgpg4yWdJ5UKBkquTxjk+D+cxQoCha7RrkqCMonB9tcbdvQG7xxM8K2WYxaDI/qHnGKwtlGTPLUgQqiSRa0KhXXcpOQZ3dgY0azZHPZ/RRL5/FcdkbaFcJBSnhFGKqsrep23qXFqsyLTJUNYwupBktWsrNfqTUCYmtz1eudqiMwxZbnp0R8E5YwPT0GjXHRYaDlGcsbZQplW1EYXopuQas7nh9bXn65eEcXpuawoiuelcWqywczTiu68scdT1MQ2Vy8tVmtWnO5gbunpubvlJoWviM/k5F3h+TAOZuFVyjY9V55z2bHRNUC9bRFFGpWSiCWWW5gIUsz/YXK4wCWLG04h62eLmZpMoTgvugMHV1To/f+8QQ1OZqzsMpyG/vtMlSVOaVYvxVBqYlV2Dg864MJGRM4FqnnF5ucpbd45ZbnmM3YgPd/ukoezXC6GQZ3KO8sbNeSZ+xNbBSM5jVIWrKzXiLOe476MgEy6iJEdXpVGTZapcXa3z6pUmOTm3t4fk5Bx0p3QH8u9ouiBLc/woRhMqCgoKDxMXHVOQppArMuHu8nKNW5tNLi9X+PXdDuNJxCSISbOc1662WJ4vFXWYPHcFYYJj6rx8tc324YhjXaAgSemKIgmcjYpFkuWkac5q2+O/+t4mFdckSTJ+9Ot99jsTrqzUCmPLSAot0hzHkGkfhibIM40oybi93efWZuNTpX1/1NefBfqjsDASBHI4GfhPFHGkWc7O4Yggkin2H0WE/k0hjNJzAoDjns/afJk4yXjnXnfGJQii9By5M8+hNw4JogRdFXTHkXxuIh0/SumPAuyBThimJHlG1TPRVYX5hsNiyyNJUo77AZNpjFCloCZ8RKhUKxv4fkRQvKwQ4NoqzbLNUT8gy2IEkJGjqwJTF8RJhqIIFJEXxqLS1Gm+7jIOIqaBFFCrQtCq2fSGQZHUoVJxTb7z4hyH/YjDzpS947Hse+RS7DgtyM1qIXZ+9WobXVdRFIV6WZK0j3o+Jc9ETGM82+DlKy1ef2GON27M859/usU0TDANjVeKGcSzZm1n8VH9aGmEKj9H5TkSNZ6UYvSbxKdJz/lNIc/zwozvwuDq42I8jXjvQfeh2DZj1jd7Es6mxfaGAfsn05mQuzsI+MatBb5R9MYOu1O2DsfEcUa1bHJro83vv75GluUMJyH/rz+/LZ87YBrkXFuRtamhq7zxQpvdkwn9YUirZiOEwlFXmlM7lsr6Qmk2X15ouPyHH93nuO8XZqwemiZmKZyeoxc9jQzb0FibL5OkOUkqmKvZKGREYYoipMHxxE8YTEJUVXB5qczYTwoiucJ802NlvlKk6Qj+/Cc7jCYhUSyNGy1TI4ykMM2zNTzbZBrG6KpMrQiLJFNdFQwnAUIRKCKDXMG2dMYTuUg6lkkQ5zNxcBjnjCYxQRij6ypXV8tID2eZXPI7ry3xzr0OYZyxOufx73+4hSiavYauMZyEHBQ9QtNQcR0DTVcxdZUrKzW+/dIio2nEYsPlB7/epzKUfM9a2WT/xGc4jRCKnNvHSTbrR0oneCEFL6aGEIK5M+uRqT+c024fjmhWbCJHpj76UcLByZQwTpn4Cb++c4ymyn7k/f0hhq7ODMkXmu65tTDLciaF6WwQJURxei4Fb3VOGlqEBT/x0/QYHUubCSLh8RSQLytKrnGuP1Xxvnpr43FPJhUnmeQZHxSG918lZOLxHnv8rCbsVwBe+aufOlkrffnqmWfB0KSxsGVocq53kcTx+SNNM95/0CVNc8IoZe9kzNp8GVV9OFxsVCxG04ijnk+5aJq+fa+DXwg55PfY7B1PWF8oY5vauUW65BiUVh9+HaUpdc/i/v4AIZQZgW+vM6E/lIeGIErQNOmAFcYpjqUyDmJaNemA0Sg7ZErG2lyF7aMRUZxw0g8pe1JJOZrGNCuWdHlJM0qOwcZShU7fxzJVDEPj5iVJ6OyPZOPW1FROBgGLTZcwtiDP8eOETFFQVRnHHkUZjXmLKE6lY+A0xlAVKq7JfMOjVbNJshq1ssnEl87BFdegUbYZTSOuLFe5vTsgSWUD9cPtfuHMUqdRtal4JnGS06paLNQd4jSnVXPwHINWzWZ5rkSa5rO41mbFRtelqh7g7m6f437AeBqycziRDroVSVB9594J01BuQBtLZX7v9ZXH7of5hst8w2VzuUpnEFCvSKKoKhQ2lirc3x/SHQTM1R1O+j5WMVi/tvp0WWWrSD7oj0MG44CKZ7BzOEZX1Y8s0s+i5MqCL4zkAXptoTwrpFRVsL5QfsZPuMAnhXSAMemPJPlwseWxtlAmjFPSJGXrUK4Bh50JCswGJMcDi0tLJUaThJKjkmQwGoecaILFpsvd3QGmqbJZq9IbhmwdjEgySRo3LY2KazCZxiR5jqooOLbG5lKFhYbHC5t1Ov0AQ1N463YHoSikmUzRsIrY7f5YOnnVyxZXV2ssNCS5brHp8u9+cA9L12REb5rx0uUG28dTojgmTnM0IWhUbchhY7HC5nKVVs3m2lqN7jDg/a0uvWHIcBxKR7yKy2gS0ckCdKFgmxoKCgtNB00VlFyTPM857E4RisKd3T5JltMbSqK4IhSmYTw7+Gua4KAjh8dZljMNY4Io4f37XWxTZTCOUJiwuVTl+19fYxrE/OmPH5DnGdMw5bVrbd64MX/OdR6kCOz9rZ50Ca1Y/OPvbTDXcHAs+bqWoREncg3uDAKSNGE0jfAcg6pnPtNh5vQwm2Y5Fdf8yE09y3LSLH9iI8kq3Ng6gwDL0J57nbjAp8dJb1qozeXXaQ6moVNxBf/NH17n3/z5B8SJ3KMV5GBrztKolUz+6z+4xr//4T1OBj55Bkstj62DIY2yzXzN4df3fHQtZzCJWGl73FhvUnZM6Rxb3CunsZ5ZnkthXk2mJxx0pri2Pvu3eeagPFd3WFso0ajYaKogCJNzh0arcD/QVEGtZHF1pcbP3jsiy3JW2iUur1SpeCYr7RIK8PWbc2wdDOkOwtnf7QwD8iyf1Uu1koVtqqiqQZ5ltGo2pqnyjZtzeI5BEKaoqqDk6ryy2aA3jnnr7glBmHLU90mPJ9INLk4pey7zTadIGsvpDgIsU5Wx6op030XREEXs8nAiY5RtS2NlrsTSnMdczeHOTp/3HnQZjCPqJYtLixWSNKNk6xiaRk6Gaxm8uNmkM/QZTxMMQ+DZOp2Bz6/vnlDzLDZXJEnlWy8u8rP3DhEKfP2mbIitzUshqThDQDvFg4MRJ31ZmwwmEbeeEsH8KDRNsDLnsV3sJVdWarx4+XFi/CmCKEEIMUsJu8DnA8cymG84HHRkA0NTZeLUWdHXJ4WCJCmMJzFxlhOEyWMJF4+SO1bnSkSxJB82KvZMNKSpYubI4j1DzJs9cuGnX8dJOnPYIYetw9FsSKFpgn/wjVWmQYJhaE+8DzeWK9zdHZAWa8wpSbHimbx8tcW7d7sYhuDbL8rnSlEUXFv/wsnlYz/msDuh6hk0Khfkq+eBTIqUTe/RNOLlK60v5ZDpN4ksy3nz9jHAbKD4ZcK3X1rk//r/fpPtwzEfbve5+hFn1gtc4AIfD42aPetzeY7OXM2hMwqkCYitM50+TNEVhVgTIBcgFOlamxUJcpeXq6hCcDKcylo6iinZBiX3YQrc/smYk35AmoNrqbx0uUWSgmOpxFFG2TFJ85wHeyP8MJUi6RxAQdfkHq8JlZKts9gqoSjMSOAgz6CqqpCjkGcZ/VGIH8ok3PmGS7MqE0VrJYs/+fY6nWGArqnYhsrobNrDGec129DY78gzfZbnlM6Yn/z+Gyt4rsHUT1hqS6FHGKWkaoZlagzGIXGSceNSg6W2x9euP/4ZVD2L77y8SBBlWIZgvzNhVAxjV+ZLszolzXI6g2C2Bh52p9wqeohZlvPeg+5sP1tue7x8tTUj3+yfjDjqBpimytWVGkZBaj0dXM7EJo+gVbNn5/izqRzk8no+L/nEUsvD0FSCKKFRsWRN+Tm99m8TpkGCEArDacyjpc7TJB2WrlAv29imSmfgM5wmTzw3aEWShlBlAq9j6fi+IFck6WB5zuXqSp2bmw1urDfYOhzxH/92a+ZOqygqS60SX781T71kMgliGhWbqvcwFadVtWXPbiD72DLlMuDqWpUrqzVMXeWNG3NMfJkgXS/b3Nxo0hsF3Nsb4jk6m0vVjyRCpVlOGCX0RyGaJl3XFUUhzaQL75NqRIV81veDh+tHmkmH49Pn0A+TWd/f0KUT5c7hGFWVyaZwRoSOHJxfLdLVL/B3E3leJGM/o2+SpBmKonypSCKmLkn2b9/t4No6fpgyDSShaXWudI44AzAYh7P0+DSVqZyGLuQMSchnxA8TPixSGvojSSCdb7gYujpLwlGFQm8QyPVOAT+MybKMubrL3uGI7ihgOImplS2WWx4vXWkyX3f5wVt7JFmGH2UycTrJqJctFuou19frUhDQKmaGacZxzydNpeN9o2pTTS0OupOZkYqiyHolIjrXb9F1lXbNpuTo1Cs2N9frmIbGJIg56E5wHbOYLVqYpsDUVJbaHgrS8X/nSIphPVuamfhRygc7fVxL9vxBvv5cwyFNczxHEsQOTsZUXBPblES2BwcT5huCOINWxUAI6a6fZTCNUgwjnbn9rs2XWWy66JpCrxDG1koW8w2Hkq0TJzmerXN1rfZUcaeiKM+VOuHZkpx+aupzmnyha+IcEfACv73oDoNZGoupq9zYaDy3oYZr67ywXufOzoCSY/D1m3McdqcMxxG9YSiT+xRoFKlYlqHx+vU54lQKpqVZmZj1LTVV8O2XFrm12eDBwYjhvYhvv7TAO3c7nAwKoliScdCJSU7TAVCwDHWWolPxLAxjihalVBwT19KZ+BGWqbPcctlYqvCNmwsMxhH/5Ze7RHFCzbP4n/3xdbI847/717+kP4kIwgRDS6mXTUquxahwAv/V7RP8MJHXbcpUnDhNieIUXRWEWSbTezRJlOyOAsjlNTZrFr1hhK5Cq+7yvVeWcCxp5jnfcPibX+3Ks5VQeW+rR7vpSDOsRKYHnhpIiaJO8Wwds+JIobUmyBRwDLk+uyWDIM7Y2h/y4uUWH2z1uL8/JMty3rp9wvdeWSROs5nwwzI18lwmN1mGpA75oUwPfJaIfBokGGcIuadYann4RRJa1TNpVe2PnG1+Ejzq3m09xc1762A4O1sNJhG2qX3uwnRNE+cM+E6vdRrE58wgh5OQjaUyvyqMX7I8x1ClkD4I05lhQBhnxHHCyI/R1AiBTLuc+FJYaekqq3MeR93TdDqb/iRk92DA7kkwez3LkMK50TRk/2QqBeGqQskxyQqBdpKoKAq0KjZLbYfdkynDSUSUpCSJTNnwg5g0h5W2R7NiI2qChaZd7N8UxgwKIKh4Bi9fnef+wYi7u31p/KoK8jzCMKQLvKErrMyVUTXBNEoxgbm6PP/HaUZvKA0ohQKtmjPj2rRqDv/yD64znkbSmMH4bKlw8w0XXRNMg4Ra2fpIN/oLSNze6dMbyjW0XXcueEkfA6NpfK5pMJyEz837MA0VFEgTaehrPnIWWCgMHLNMrgNekQ4J0BlMMbQi2alISvjj76yzezKh4ppcX6sx8WPGfkzFM9k6GILSJU0yaTRcMlluy885jKUQM83BUOHSQgU/yphMY0xD5R99d4O/+fU+QZDSqlostUp0BsEsUSHPhRQQK1DyDFZECbenY+gKrbpDKUhJCoMKQ1MpOQbl4ve4ulrj9nafLM9ZbErxyIPDMZqAG+t1bEunN4qwTYFp6ownEVkue7GjSYhlqoBcZ3RFIyveetvSaJQt/FjyAHujKTkyVU9RYBKkvHZtDj9MqLgGuq7yjZuLAARxwpWlCg+ORiiKwvqCx//3r+7SH4doqsLlpQpXVqpMwwTP1jF0lQ+3eoz8mDTN6Z/Zp8fThErJACRXxLU0yq4x6wff3R1w3PcJogTX1vnuS4vUz4gY+6OQBwdDABabDuNpzM7RCE0T3LpUl2JvZP1x1PNnIus8h7fvdGb7/nAi53une/uj58ytwxGGpjKaRpRcg43FCmuf0TqwvlDmgwc9gjhlbb78lTGdKTkG19fqDMYhnq0/NA7/CqHkSsEPqTx72p/xfvt5QJA9/mdPEHZ81bC6+NXbZw0NoocjMVzrqydsqngm64sVOkOfkm2w0PxkCYRfvSfpS4Q4yWYK/8WmS2cYUPYMllseapFuMPZj+qOAqR8jlJwoSfmwOCz3RgHVkkHJ0VlsOqzOl5iry+L/r36xw68+PKFRNvlnf+8KVhFxXCoIjkstl92jCVGekWU5tqFyHKeoqoKqyCgrQ5fxu3km7WhMU2Vztc7vv77MpcUq5PDz9w/ZO5rw9v0OVdcgTnJKTZNGxURVJdFv5Mc0KzbrC2V0TZBl0t2qM/CZ+AlxnNEoW/TGIQowV5CRqyUDJT/BD1PSTEaetao29arF7uEIkEPPasnALA45lcIt5u7uQJJGKxYl18C2NC6vVllbqvD+vRN++p5PfxyhquBHKf/gG2t0hwF7x5Kcnec5ex3ZxF2ZK3FlRcZ+RsV7dPq51UvWbBgkh0ojwsji1kYTQ9fYPxnz1p0TojhDK2Ihw/DM6vEEPMkJCeDBviyCDE3j1atzXF19dqxno2JjGRp3dvp4tj671iD66Gs4C00V3NxoMBiHmIb2TGLeBT5bXFmp0h+HKCg4psZ//PEDGfGpKli6jDxXhcAPZWOlWjJxTA3b1NFVFRSFiqVhmxq6qvCjtw+I4gxTFxx0pAtSvWIzDWJcW6deschSWVCHk1h6veTw+gtzfP3mAo6l8869DgcnE5JiICqKZqltajimTphk2Ka8V+IkY+RHXF+vU/FMLq9Ueft2lzhOKbk6l1fqLM+X+ek7B/QLgvTmYhnblG57g4k8ALxzrzsTaChCRirWSiZhnNGuudTHPkddH0MXzNUsyo7JCxsNNFVw3JuSZbLI3z2WkbEKMj3E0VVMTZXXbmuUXSmaOW2EzdVd+qNARgDqKs0wwTBU/uQ763iOQcUz+Se/s8nJwKddd2cHu0dRcqWYbe9YungutkvnDrybyxW2Dkb0x5JEbpkydcgyNF683Hzm0GR1vjRLJjglSDwJ42nE+1s9SYYvm1x+QqTx09agC/xmUas45Hln9rVlCObrDp6jE6c5i80SUZwx9iMmfkxn4FMvW6wtVrANlcV2iWbVQQiFqmdgmzXKjsn28ahwKgkJk4wszVlqlYjTlA+3FRZaHmXHYKVdYudwzMSPqVcs5moOYZwWqWBy75gGCUstjyzPmfoJtbI5I2eAJGDN1Rw+2OpJoUP7fGJEo2qzOl+SJKniYBPFKWma0R+HeLbBtdU624dj/EDGIM83XXojGdctUzNgY6nKQtPluOcXzeaMhWaJhaZLWgg7shx+8u4hxz2f0TRibb7MQVfu482Kzd7xmAf7I9o1h8u3KhwPfIIwJc8y/vbdo1lseJ6leI5Jo2phqGrhHFdhc7lC2TXQNZXeKKReskndTLpdpRmqEHglgyzL6Y0SkqL5tNB0sQyN3kjGv6dpTqNi0yjLlKA0y9lYqrCx9PiQ89GB+Sn8s3VFLl2ZnvcZ/t3XVniwL52/VudKT/2+H/96nw+3+yiKJOZeDGF/czjpT3nrTgddFbx2vYVjGfz+6ys8OBghFAVdU/j3P3qArguiKHsuL97TVf7s9yqKHK7GcY5hqKiqgmcaOOZHH2wNXeXGE1z/62WL+nM2ipbbHrd3+jO3l9MUBUU5724rHtmfhBAfmeBScownJnQAvLjZnBGwTnFKuFIUGU/+RbioDUYh//2fvsdoEmHoKv/kextsLFc/9+v4quHsupemUnz4d03EcXdvUERza1xZrX7Rl/MYXFvn2y8v8hc/2+F/+Ks7/B/+569/0Zd0gQv81iBOUkxDRdMshICD3pRpkMize5YhNMgSOTQUApmUhTRfcC2DPMtRBJimNI1QhYA8Y6jFeJmObWjMNxxJiFQFf/LtS3yw3SeKUuYaLuvzpdn/+6tf7jwUgifZrOgQApZbLp1RCLn872/eWuL+/oDldonuMJiJOL5+o81B16c7CKiWTfZPJtLZDik2/V/941v0RgHzdWkOcbl4H9IsZ/twhB8kNKrWOUfG44FPxTOI4gzLUDns+Vyy5f93bYNv3JwnTjL8MOH/85e3GYwjdE1wdbU2M0g4GfjMN90nEmxbNZs4SRmMpZBmZc7jFx9IYd31tYeitThJHzq7IvevME6l+B3YPhixcyQJ4VmWsdjy+GCrz8/eO+KwM8UyVZmI2C5hmxbqx5wDLc953N8fQi6v2fqcB2IXphCfHrapybTpMCnEUQ8hhHzO00w6QGe5dGpdaHlcWa4SpymqqmKbIQddf3YWEAIMVcGxDBQBSSKJcPWSBSVkumXVZnOpwuZSlc2lKoaucnVVEi0U5Hzi2kqNSln2DgxdErvOkpDyPGc0jSk5Og8OR2wdDBGFOdBkmvDhVo+rqzXZV/vdy7xxY56dozHDSTgjqA3HEbvH46cSdY57Pj9774CtgxErc2UaFSn6KjsGd3YHZJlMMZ/4MY6l89r1OekQjcJC06U3DBBCphj9+U+3aFatcyS44JEefrvmPJY4eXjGLXAwjgjj9HN/1i7w5YAfJrx3v0ucSFOza2u1J7qG7x2P2TkaoyjS7fZZSahRlPDzD46ZBjFXV2osf0Tv5lFIYqcUMz6PuCjLcn75/iEPDsZomkxjv75W5bjvY+qCZvXh/X/2d8syaaC00PAYTkNevtxiea50LmnaMlWGZxzEy66BHyb8l1/ucdyf0p/E1EsGFddgMInpj0Pee9CV7vOWTNHujwIUBf7kO5fYWKpwb2+AqigoGpRdSRZVVYXj/pT1SCZ7Xl6p8LN3D2fu6WGUkqQplqGzNl/B1ARjPwQhGI1jFEWgqTLt21QFq22XP/j6KpcWK9imxnsPurx9t8Nhd0qtZNGs2lxervH1m3P0RyHvb/WIir2+XjIJQoeSK+c1IFPGXEtncb5ckLYCqq5JfxyRF72J7iDEMWWy72vXW2hCRfv1PnkuTfd6w4CypSPHtjmtqk3ZNWTvVFO4udHAs3WyXKY4y3VJil/NYn2aBMlnIu5UVcGNSw2GE0l2vUjd/e3C7e0eW4cjqiWLV640EeLxvstRbzp7zsM4ZTgJn6u/drbX/K0XF9lYqpBlOd1hSJSkLM95bCxVqJfPz7qEUDCfQo4ajEM+3O6TZTmtms2V1SphlJBlUrg0X3ek2ZtQaDVcoiQnTlPaNZvLqzUOOlOqnsmV5SrHvSm6ppCkOTtHY5pVi0bF4aWi7/j3Xl3CsTTG05illodA4aAT8PK1Nvf3hvQnAa5hYBpSiD0NUjShcNCRyWNzdWfmGl6bK6Fkkquw1PR4YaPO7e0+QZTSqNg0KyZ+lNEZ+NimFKhpqkJvFDJXd3n3boed4wlRkhEHMY2yjWlo6IqgUTc57E456vloqiS1m7rKUsujXpJi/KW2I41+HJPuKODOdl8SLyN4684J19frPDgYctCZkGY5pqHSH4e8uNmcmQbmuZz9RHHKeBoz9iN2j8ZMg4hXr809cb6ZJBn/6adbHPd8DEPl97+2TKVIcddUOccZTUNGkxjPMpgGyUxsWy2ZM97Gp0GtZLE6X6I3DHFs7akpPmfT58nlnv+5izhUwbW1GrvHY1ShsFLUA46lneOtlBxjVl/4YcrJwIccbm006QymhHHG7e0euqqQAVXPJIoz8iyXaR26SpKm/Op2hySTAp+5pjsTSvftAMuISNJM9uptDdfSaVVsVEUw8iMsQ6NdsznoTAmjDFWA5xrcutxE1wSDcUyS5Ji6WuxHGeRSABjGOVdWKnzv1SU2lyq8deeE7sBn72TCcByR5Tllz2QcxPzlL7Y57gXkeU7ZMzB0jUbFollxyNKc7762yNb+iP4o5MpaFVNTeXAwghySNGU8iLi0UGG+4XB/f8jNjQa7x+NZzfA8e9rEj8lyucY87/3YqNg0LsZrz4U4SWcCDpB7zoWI4/nhOfq5edvHSaO3TWlwuNOZYJka1870ugBubDSI04wgTJiruzMhL8B8w6PsGeyfxCgKrLY9NpaqbCxVZ99zykMEuLZWxzY14iRjru5gGio7R2PyPCeIUkxDZ3VOrrl+lPG/+OMXOOhOaJRtKSIEeqOQ9YWy7CkW4oHOIGCp5TKayiQXx9K4tFBhPI0ld2ASk2U5Zdek7BlcWiijFGnFzaqNpgnmGg55mqMUdfvmcgUBqEIteJlSgP36tRa/utOhPwyZb8okw5+/f0SWZVQ9gzDK0MIiPcTW8Vydkz3Ja6qXbCxTpppookhF9czZ3rnYcrizOySOM15YrxOEKSvFcyAUhe0jyQPpj2LG01jOXG2DNM15sD/gwcGINJXntUbZAlv2ccuOQZSkHPWmaKpKs+aQ5Rl+kGLogv44mCU7DccRuyeTmYgjz3N+9eERd3b6AOw0HCxd0ChbksugKDSqJlM/wTI1mhWLD7d7TMOEds2mdaavkmU5cZLORByPrqW9YTj7f91BgGvpM3JzluWMpjJhyjK1j3WPn94jP3v/SKYqR8knJk1/ETgruPkqYq7m0Kra9EayL7e5/NXbGDXt8VrwUV7DVxGX5qtf9CV8bDxqXvRoatxXAWXXYH2xPKtzaqVPJs666Eh/CpiGiufojKcxRhE3dfqBjP2Y9+53OepOefteR36vpaMJhf2OdHeKopTb2wPIZRrF5ZUqaZrxwVaX//Fv7pHnOduH0nnqX/3JDUC6sJi6dOIiF4ymEZMwpuwYCHWKqkIQpyhRgm1q9IcBUZLSqjlcmi9LR6uKQ7NiM/Zjqp6FY+r4USKjBTPpkn0aH9yu2dTTnM3lCjngWTpbhyNO+lP644j1hTJ+kEgCiq5yMvA5Gfgst0psLJZpVGyGxYE/yzKO+zLSS1cFK+1SMXCWiSIglZvtmoOmyrjUaZigadJ9Y6nt8eFWjzDJ8BwdQxPomkqtZPKNwum6Nwq4tzsky3N+f71OrWRiGuqsWDB0lRfW60XjWj0XGaaq4hyp8aTvE0QprmtgWzpZmqHrKrqh8dadE1bnSs/lZnOKZtVm60CKV0xd3jvPA9fWubRU4b373Zmr0MdVY2qq+EKIbReQherpAv3vfnCPN29L94w4Trl1uTk7FDUrsoGyNl9CVWWk5HHflwr5IoZ77McMJhF5lhMn0jU/STJ0TTo3zTdcXtpskpLzi/cOUVUF1zQkiTzJ+XC7PxODdIfS6dNzDFRVoKsC19E47vvYlkZnkMxSc6I448PtPi9faXF9rc4797ryZ9smzarFfmfC1ZU6fpyQJCkl12S+Icno797vkOeSPD6YRFKdP4047gckqXTlurZW48HBCFXItfCVqy3euDk/IzwLBT7c7hNGKVmWowoeKsodnaW5EldXawRRQqvmYBfx8Ke4ulZnMIlmxOjXrrfPNW+qJYvqMzbRnaORHLA4MlJ652g8c+0DubZcXqnSGfjc2RkAci2reMa5deYs3rnX4b0HPWxD49svLfDK1RZpmmM9wbkjy3IUBbYPx7NmXm8YMhhHzxSDXeDzgWMKdE02W7O8SNLyTBolC9eWAq2sIGckqXRFGAcxfhDz/v0uURErnmU5V1drbC5XZTrEJJDuMkrOeBoRhgm/eP+Q3ijkxnodw9D43VeXWZ4r8c1bCwwmMgUjiqUgoT+UrjpCKNTLVhFX+uQmWRAl/PTdQ7aPpBNFdxiwMldioUia6o/kEKc/DjnqTomTDFVk7B6PZ/etqgpevNzkoDPFsWSiz4P9EUe9qUzAUmW8eq1k4Vo6lZIJuEyLZ1ZVBaau8YO39kjTnIpr0BkEjP0I19IQipBDXyGLYc8y2Fiu8p1Xlvnzn27h+zL6VBiyUeJaKi9tNmnVHAxdIBQF01DP7Ym2oXFpqcyoiBB3LJ1LixWOulMcR8OypEgMpNBFOhuesHs8JiNnqeXNHIvlGvX0A16cZNzbG+CHCfWyxcpciUbFmjVSDF3IGM2PgWc5VvRHAR9u9wFZZ/38vcMLEcdvCFGU8Oc/2SEq4jaH04g/+fYl8lySFhRFur/c3R/QH0SEccjeiY8fPn4YVQDTUIji/InOuwpyyGNbuhyAGjKK/MbG4wKNR3HqoFnxzE/kFlUrywFZEKYsth42xbQi4W3rYIQQChu/wfssjB+mfuS5TLT5ImrdN28fM5pIIksUp/zsg6MLEcdzoFmxZ4Q519b/ThLlfvbeIQC3NhtfWgHLP/3dy/zFz3b461/t8b/8k+ksWecCF7jAp4Ola2iaQjBNsA2V7iDANDRycgbTBEMVoAqyLCXLmTmfWop0yE6zHMfU+O6LS5RceRaslgyCKJXEU9fg8lKFJJOkilZVOuP7YcJ8w+GvfrHL9uEI19ZnPb4sy6lXLK6uVjnoTGlWbd64Mcf/8Jd3iJOc772yyL/+s/cLYbYyEy8DHHYD/jf/k5eI4hShwP/t//c23UEABclaEhwe36NVoZwb3kdxSncYoGuCIEhmQpBe4UZ3iu2DEX/7zgFJmqGpEMXSQRZk6sgpQTuMUnpDnzjJC1fe8+fmxZbHYkv+Hj9775B2TdY020dj5uruzKmw5BiMCtKqZWq8dftEDijjlDdvn5AVzPycnG++uMgvPzhm6scc9abkObiWzt++c8AffnP9qfdEnufkOY+Rhds1h1rJJM3yr/RemT7jjPTbjFNig6kLhCpQlGxGwMgLsrKiUDjeSnOVlXaJm5sNrixXef9Bj198eEwQHxPFGeQZhqnx+rU2o2nMyI/xg4TN5Qq/99oy800PRVGYBPLPh5OI9x/08Byd62t1XrrcpDsM+MX7R9zZG7IQSkJibySH6i9dbtGs2uR5zp/+6D6/+OCEwThAU0XhFh/zwXafr13TGfkxH2z1Zuk0iy2PZtXmqDtl7zSdD2SKh6FSPyUD8PCe+NMf35fC1knMUc/n2y8tMNmNsQxpRjH2I3767iGtqoOuCaI45XdeXcYxNZpVG9fSeXAw4KQfEMcZu0djFlvebPD/LHI9yB79qcD4ScmZpyYxTyLzX+C3C7vHY+JiRjWaRtLw5xHRT5yk7BzJNNQ8h/v7w2feZz/89f4sQXXrYMi3X1pivuE+k7CxfzJhuzBCK3sG156REpNlOT9554D7ByMm0xjL0jg8GfPDXx/M3MdfvtKcJbhWPJN23eG4NyUqhAlRkiIUZdZXLzkGpq7OxE2vXGmiqQI/SuiNAu7vDfnRr/ckYasmZxvL82VG97sMeiFRnOKYGn6QkKY5aZZxe6fPv/mzD/nH37vEeBLx5t0Odc+kWbUZTCRB68H+CD9M+AffWOfFzRZ5Dh886IEi3exHE/lMvni5yXLbY2t/SBin/OCtfXRN9ucsVXDjUo1vv7jI770uU0H/+3//LpMgIYolybVRrCMVTxJo3rnXLWoYZoTOl6/IHmeW59hF4lfJMXBtTaawexaGoXJrrkSzapOkOZauYVsa19bq5HmOHyaszJXIspyTvi/Fu4p8fzVV4aQfyMTmmsa3Xlyc7fn1ssVRd4qhqwihnHPDf9J69UmhFb3aC/x2Yfd4zI9+fQDA3rHcl1+71n7s+x515n6aCdFZPNpr/tl7h2wsVeiPQyZ+LBM4kDPB5fbzE+W3Dkazffe457Pc9tg7nmBZGhXdlGJXIUmJqhAstFwUFF671ublK036hetzq2ZzeaWCVaT7CUWSWdsNd2ZCaRga3315iZO+z929Ae++1UUo0nyqVjLZOZpgGSqDcUScpKzO6QwnISM/xrZUhBBMw5g516BWtojilP4k5msvtPnGzUXCKKU/DinZBlfXqtzZHTL2IwaTiME4pFm1ubFe4+pajb9954Cj3hTP0hlMclxb4/p6g82VCj9994jhJGKh4VD1THojH9eSa1bJMbBNjfXFMt1hgG1o3N7p89e/3CWOM6Iko1E2eet2hyjOCKKEJJXGfmqxfjQqNmXXLJKONJI0Y+94zH/88TGaJtg5mtAdbfPP/t7lxz6v+/uD2f4SRSk/eeeQuYbLZBqxeyL31IOTKa2qzd7xhIOuh23K+6E3DOgMgueq1Z6F+WJ29VFoVKzZmU7XxOwe/bxx6rx9Frr2kLdiaA95KwuFICWIEsZTmZ799t1j6VCfpjRqLv/gW6v88FcHHPV8wihhZc4jiDLIc4770litWbEIo5SdY5kQdXWtxsRPmIYxOaBrGnkuE0rSLGe5VZKC7FzBDyQHQWgKeQZV16AzDme8AtvSMXXBzvFYGjDoAl0TmIZgY6ki0zrilO4wojcKOBmEaEKK19+/38UPUxxLxQ9TsgxuXW5wZbkCikIcZ5ArLLY9VufLvHylSRClvHm7Q38SIlBwHY3V+RKKohCnGduHo1m/uTcKn5l4v3M0mq2PtbLJlZWLFOLPGkKIcyIl8xnJPhc4j5IjzwD9cYhr6R9rzRyMo5kxMyCFjme4MCXH4Ju3FkiS7ByXDqTp1q2NJosNB03XWGicPxOlWc69vcEsaWl1vsTmIzOx00Tb4TjANrXZmXu57UmDl+LMfnunj23q2KYuTWxNKeaS4gyDkmvM+nnVksk0kFypLM9p1x2GkwjH0mhVbdp15xz/57g3LYxfYa4uf+ZoHKIIhbJn0KxKEYmpqxiGzr/8/jWiwhyzO/TxbINJEHHzUp2/+NkOB8X6UnYMpn6EbWloQmDoKp5lEKmp5EhsNnAsbcYDGE1jbEPDNuCgO+HWRoM3sxxVhfm6y97JmGkge7qOJQ1rHUtnvuny9p0T9osUUsfSWGq6sj+T5ziOIU13HQOhKAxHIc2KzSSISTLJg+iP5N4nFAXvzHqY5fCL949ngpn9kwm2pZNkOWmYECUZm0tVeqOQkqMzHId0BoEU16Y5y+3S7Ll+dL5XLT08Z1qGRq2kzoyAgJnxxmnC8d3dAbvHYxoVi5c2m1x9ZJ/8KPzbH9yb8bIOu1M2V2ssPUXQeYHPFp6tc2mxTGNiowmFladwj77McM3Hz9POc3J4v8yYBOGzv+lLBk2F5Izm+qtoWO0Ve3Z3GFByjE98zvnqToC+BFAUhWtrdfojSYY+S6w/dY7vjQK2DoaoQqAKhc4wIMtzKq7OyUCqME/d6t+710NR++wcDBlOTjdU2O8+HHxMgpj9zoQ4yahXTNYXy5wMpkz8hHbdJk0ykhTaNbtw7g7wXINpEEvSs23Mms+npZihq7x6tcVxX7qCq6rC1Jfxx54jCcjXViXJGpDO3IqMEHYsndE04qAz4bDvkyQ5linFHMd9n0bFxrY06MoNHOSBc3OjyTv3pGN5o2rP3L5ldOfDAa9taedcd29tNjEMFf+v7xLGGVmeY+qC3eMxCw2XWsmidv2jG46OpbM2/+yH/rRWrbkmr7/QZu9oTI7CK9da+EHC7Z0+r11rP7cyf77hYpsaUSxdJj5Ok7XkGNzcaDDxEzxHv4hn/IqiM5ANrTBKmQQx3VHAtbU6y205YIyTjHfuScevetnm1mYTx9K4vT3gzk6f3iBgruZw3PfJUWiUbYQqhV6OpXNtrcrvfm2FsmeQpfIApaoC8hw/jAkj6SJ12JOkjNs7fXqjED+QkeaqIri0UiZOMnrjgDDO0ApBySSIGY5D+qOIN16YJ8tzglAOHIZjGZtaKRpfNzbq1Es2mqrwFz/fmf3+JUdjueVyZ6fPctuj4koyxNbBkCTNuXWpycp8CU0VM0IIyHVope0xmkbMN1wZFRulBFFKrWxxeaXGi5cfrhN5nhNGycwxcGWuRLtmsX0woezps+bX8yKKU+5sy4ZkFKckqXTYFIXj2llUPRPH0mSEvFCe+lqdgc/P3zsCYOrH/PCtff7oW+voT3i0947H7ByPEYpC/oh142+BGPi3BgvNEq5tEMYpeQZr8yWuLFcJQulEc2O9TmcQIOk9uRR7ZCk/e++IaZgUqVryBhBCcHunzy8/OOa45+OYGrqukqVSxBjEMglsFMRUVJUPtnssz0lh5KOinmkQP/fesXc8lvHpwMEw4P7BkFeutNk+HPH9N1axDJW94zGDcUiWZTPnBCEUWlW7GPxmrM6X+aNvrnPQnXJUNDUWGi6uo3N9vc5oGskhzpw3c0caTaNZVOf+yYSTno9QlCJas8zXby1w2JnQG4Xc3xuQZRTueyHbhyNeudrmj765zu7hmO2jMd1hAAosNF2urtUwTY2TvlyDl1rnn8vFlsskkIJc29JwbB3PMWjXbVbmSuyfTIjirHimXYIoIYhS6mWbvHBuKhX10rOiwHeOpHMQyKaI5+jMN1wcSyeMUqol4zMn8z5apyhcLBy/KUzDZCbgAOkgB/Deg94sXvhXHxzR6ckklzDOMQ2NLIsJ44fru6owG+hP/AQ/TB867xau3K4txUVXV2u0qxZCUym75mNpFY/iqDfl/p5MhxNizK2NxhPFgx+FrYMhB53TgUjAi5vN2fDvSe62vwk8ehd/UXe180jCnfMVJlh+nlhbKFP2jCJZzPo7SYr761/uAfCtWwtf8JU8HRtLFV652uKXHxzz//zT9/nf/U9f/aIv6QIX+K2AqkrzAs+WqW/9cTjb5y1Dmi4kWY6u6timSpzI5I1vvrjI69fb7B6NuXW5yVzNmRGvgZlrrWvrzDe9c6T5U5fP3eMx9/YGTIOEsR8TxdJRLctyXMvgWy8uScKlpfODX+0y35B183/66TZZBlmeIRRBkqWsz1eKa1bZPx4Rxhll1+S1q21+9PYBQsAbN+ae6z1J0ox37klyEUDJ0WlWbIIoZaHhkOcKd3cHGLrgFx8czYa/R71AppOe6cceFf3YkmdwZ2cwq4U3l5+c2qVwzthQfl28dbLvW5OuYopCZxDgB/K1p2GCrotCxC3ODSzTTKZsnhYo0Ue4Rw3GIbd3+qRpznzDYfWRoZeuqZ/aZfuLQpblfLDdYziOMA2Va2u1r7QY5ZPCsaQYqGRLl/U8y1EUBcs8NTCKqboGiqKwMlfh8kqFW5tNqp5JdxiysVih7Oj0hnKt+OatBX73tSX+5ld77B5PWGw5fPflpXPu2k1s3rx9PPt6PI2ZBDHHvSnv3uvgh1LgoamCk4GPWwzHFAV+72ur7Hcm/MUvdmXfYRoSxxnrixX8UJIPFpoeqqJw2J1im/3Z/MDQ1SKNM8QPJcnbNjS2DuQ5/4VLDe7tDtg6GLJ3MuZHb+2jaaJI7si4uzegVXU46iW0qg6TIJ4ZGsHD85UQCjfW6/RGId1hMBN9KYpCpWRyaaH82Kzmabi8UuXBwZAse2jQcIrOwJfu1MDqXOmZBMELfLXxWJLkE5uu59Mnn6cve0oqjpOU477Ph9t9+qOQyyvVjyTOv3u/w2gSzWZqz3INH/vyOY+TDFUVGIVJyinBFuCDrd5MxAGwviBdAo96U/727QPeu98lzXIOulPWFkoEkXREVVXBypxHxTO5vd1nNInZOhiSI4nRYRRK0pGtc2WpQqcfctT1KTmGNG/LpSFerWTiRyn39wf88sNj/uUfXOPWvS57x2OEULB6D5NxRpOIIEzoj0KWCpLQSd9n7MdsLlfojSKOehPSNCNOUkbTmKWmS38SFWZXDl+7Nke9It/jn757IElcec5gHLLcLnFlpUqa5ty4VEfXVEqOjlAUsjzH0CU5teQYDCcRfpjK92uxwngacXd3QLNmYxvSdfilK1IE1y+cSGsla5YeenqvrM6XaNftc8P8RsXixcsa40nMynzp3D756EwQeOp6dYELPIpuYex0iv4oeOL3nQqMgsK1+nkckB/tNavF15+6s/PID6iWTBZbHu26zXsPujw4GLG5VMEw6jzYH/Kdlxf55q0FLEMjzXJ+8vY+hz0pHr26WqNaMp9pfnTQmcg1XYEgSomilHbNpVayGU5CWlUbw1DJs5zbOz2GU0kWdWyNl680sUyN21t9djtTGhWLu3tDgjjllasPBTNJmvHCWo0oTvGDBF1TpdGUrqEoymxmM9dwadZsvv/6CrWyzbv3e7TrDlGSoeSw35nSGwaoqsCxNNbmy7x+Y07WmcXntnM8ZrHhcdif4ipgGCq/+OCQo+6USZBQsnVJirUffs66JmZnSk0VtOvOLPUH5PwySTK0R+YeQgiCKMEPpBmnbagkScZgEpEkOSc9yYeZhAkVzSjSaHX8MGbveMI0SFhfLH8uZlPtuoNtaQShnL88a4bzeeOjeCuby1Ue7A+Jk4zd4ynTQIov/HjMP/+9KygvCX745j5xmqIUe1h/GJBnOaqqECYZpqrSajiUXZPDzoTN5Yo0URWCaZBgGipV0ywMQS3iLCOOM0qeQZ5HaJpCs2IxmMjae6npkiGFYVmWs3U44se/3ieKMwxDZbld4v0HPQ46E3rDgGmYkCSSG+VHKRVPCoc0IWjVXNIs4/JSle+8sshf/3KPSRCzvlDCtlS6wwTLVnnnfpfllkvJ1dE1BUVRCKJklgy+3PKK+StMw5jhOMI2NG5sNJ5qKHA63wBpmhgW5O0LfHZQhcLV1Rrbh9L0a/VjJNJdQOJsosPHwWPnlCc8BpoqnlhP6rrAMlTSDPI4pfqI8G3/ZDwTPh92p9iW9tSZYNmz+Od//wpvfniCa+t84+b8R17WUtNlMIkgl+IqKSSQPbmKZ/DBVl/uS2lGzTOplWTi1wvrtcfOSpMgYbNID/HDmDTNSLIckefoqopj6Q//jiLv19M9uVl1+K//4CoAaZoxGEfc3RuQZ9Lk7qg3ZTSJUFUFw3D4/hsrHPZ8GmWLa2uNc/XHz98/mv13FKfc2xvMzoFxkvH6jTnevdvFc3RW5+QZzNRVVEWago592RdJ0gxFUVAFKDkoeY7nGDODnyyXqcunn4Vtyn5pbxQw33BYnnvIjUgTmdZxKuKwLR3TUKWpgQKNskVn4HPU8wlCk8PuZNaLlb0khY2lylPne6fnTJAJqWNfnlN1TcyMwsa+TB65vd2jOwo5OJEc2LWF8rk65KNw3JsSxklhspnRGwQXIo7PCaahsTJfZudwhGmoLLe+eu97bxQ/9mfjSUSt+tXuXSv5V2/eXnUtDqKH59W5+lfvfkqznPcf9NjvTCi7Bt9+afET1ZVf7bvvSwBVKE8cAp4eAOMkI8ty0iRlHMTERaR5FKW4tk69ZJHlOVlWqOLjtGgWJAhFuqnMnSl6bm/32NofEUQJYSwbt7ahs9jwCMJ05t5VK5nc3R2iayqtssUkTLiyVuXmpeaMbOTaMqpqvzOhNw4puwa6ptKoWCxcdvneq8tEcYpduC/sHk+KeEXplqdpgru7A8quwfW1Gn/+s20Wmi5ZLt20PFsqb3eORkydhKWWN3MzmgYxL202ePlqi2bFQdNkqsBoGlN2DYbTaObm+yg2Fyv8/usrbB+OmfgxnmOwezQmTbPHhp2fBvWyRa8sD6QvX2nxJ9++xPsP+rPP9tRtXf0Ya+AnKbJPca6QvMBXEleWa+wejZkEMapQWG6VGE2j2ec6LQYtp+iNQtm8WSjhWRqKgKZvUSuZKELhynKVvZMJo2nEtdUaf/CNVRzLYPd4zPpCmcE4lFGB9YexdqcN1jCSkdtaEZNtmRpLcyUGkxDPNqgVa5OmCt66fYJtapiaSlyQU4WioKqCSRGjd9CV5G2hKkz8mOVWCdfWubpc5cNCAX11qc7vv7FGfxQxnEbsHMlnuF1zSJKUsifJy4rCY4fG65caqKpgOIkQQjqNjqYxQnn8cKkoymNrQZZBmmck6RPszJ+BsR/j2jqOJUngmibdqY57fuFU87DheRpBHkSyGTueRhx1p9TK1rnGYBCl517j9JD0KKL4ocNblkvHMtvUiJKMVtX+VGvKBT5bzDc9NAFBJp1g23WH5bbHQWeKAvTGEfNNl/4kZPcowbUNhtNQuuvUHN6538U2NJbaHusLJf7dD+6TpjklR8M0NVZaHpahUfYMdFXQGfgMxjFBmLEy9/RC9qP2ju4wYO94jKYJ1ufLqIqCKqQwzI9STF3es8OxdMoBQFFwHX22VtmmxmLLw9BVXtxsFtGoKpoqMM7c84qi0K45NKv2E5XHJUeSeU91SpdXany43QMFrq3XeWG9TppmOJZOmmUc9qaz9ezUOck0VJp1m/XFMmqxOV9arKCq0vnnNCHodCDaGfjsn0zQNMH1tRpCKBycTDgZBhia4OqqbPq0qg5+mGDoKrom2DsZz66zUbEpOTrri5XnElieXeMBkiQvfgcDfkN8kIpncnOjwdv3Omiq4I1HmmQX+Ozg2QYVz2BQkDRk7ZsymoTc2xty1JuyfTQijFJJssqlpEYoAk2VjlPShVl+bi9fbvHz945IkpQkk3uvpikYuspC3WWu4bDUcllqlbAt/bkc/ftnHE+yLGc4jT62iOOsa0oUZ0wLIdPnCUNXWZmT5wwhlC8sXeblyy12DkdsHY6oly1+97XlL+Q6vor4pFGivw3YPhxxf3+Ipip868Uvr4gD4L/5w+v88oNj/uwnW/zBN1a5cenZaT8XuMAFPhrNikXZM+iPQuoVk2Z1jq3DIUJRWL3e4sH+mGkoe2M3Nxq8e7+Hrim8erXFzY0mNzceCjbP1tUvX2kSJxmWoT1VHHfq/gwUZK2My8s18jwjR+HD7R6eLZPwOsPg4Tkih8PehCTJMDSVlTl3ZjBgmSp7J5L8cNSbMg0TXr3WRuHxc+/TMA2Sc0IH09BmRg15nrN7PEItCOq9cTgjilU9k4pnMJzEOLbOUtPhZBCiCPCDBFvXZoPr01TBRyF7nBUeHEiR66XF8jlimjjT9x0W7q0ghZxzNWdmQLFe9CC+cXOBH761h2f7lFwDy9C4tlZ96u++dTCaudedpqD8tvT+TgY+w6IuDqOUveMJG0tfTM32ReI0fduzDd68c8xgHBInMp3T0FW+9+oy3315sRAdQavm0KpKR/tbmw1UVWGx5UohVZbx6rU2Qgi+9+pH152GphKExTOoyMH5j98+YDSNCeOUKM7oDPwZeVAoyuz7fT+eOWG7lsEok4KxetmjVXPxbINxYcTQGUgnZUU5TdcW3Nxo0B36vHU7mj2DcZKxfTBk+2jEnd0+H271mYYxIhJYpkatZDJXd2hVHEkIDBOqnkWzaqMKhf44xLE0HuwPWZ0voaqCZtXmhfU6/+VXu1CIPdbmSh8roc82tccckU9xb284O/tvHY5oVu0L0vRvMZbaHhM/lvdeyXyiwELXBGvzZbYOhijK86VPrs6VePtuhyBKMTRBxZNn5/4ofKqI46AzoTsICCIpTtC0JxOsHr22oJg5Hvd9lAheutrm7bsns/v4aUK6ZsWmMwykUEpR8PyIX7x3zF5nTMmWLvOjaUTFM2f9QU0VjP2Yq6s1bu/0qXom335pkbIr+yJ1z2TraIRtShdYx9IIo4zAl27i/VHEh1s9XrvW5rVrbaIk49/+zV3GU0mkWGx6bB+NeHAwxDGl0/bGUoUwSjjuyxSzwTgiSTNKjomqqsw3HKI4o1mzaNdc5uoOC02X3ijgzm6fLM/JM5mwUS+beI7BfN2ZuRIvt0v4QUKcZtiWxnzD5eBkIlOKmy7tmhSrtao2aZqfI8krPD4rPtt/yXO53szVHWmgNQyxTJWltuz38lA/DjbYAAEAAElEQVRbcw6P9nWftl5d4AKPYqXt8es7J7M682nEWU0Vj7lnPwtP6zVXSyaNikVnIIXWKx+TrLu+UObD7T5JmrFQmB4BrM6XqXgmjqnPkkJevtLijRsPe9xhQeauFQaKo+nzJdgbuspRz8fSVaI4RdOkidNwEvJgf0hOzuZyFaEo3NpoUi1ZTIOEyytV1hcqWIbgsDuh5JjYhrzeKJbmd6ei7iurVQ6L1PLluRIVz8DQVOJMnn9uXKpjGYIoyWgX54tffnDMztGIWlmeHT940JuZ3PlBkczgmQwn0TnirG2qrMyXqJXNIvUjIklzipfCcwwWW965pMNHYRky8ezUEGu+4Twm4ABoVS3SLKc3CrEtjZeK89vpftWs2uyfjFGFgqoqvHylSXcQslWkQrq2znHPf27x0KeFFLt8tj+zPwrYPZ7QqFi/MbGvqaszR3tNU2bmA3mWYxqCb91akOLC/SFTP6Zels9Ako5RVYGuqizOe9xcbzCaRpi6yup8mdE0ZDSNOOxMQVGI4pRq2eKF9RpbhyMOOj71koVjSIO5NM046PqoqsJwEvPGjTlqZYu1+TLX1+t87YU2v3jvCFWVCV6/un1MnuUMxxFxmiGEQNOKZAahsDZfZuxH0ozRNfinv7fJj96SZhBRnPJgf4QqFMI4ozcQWKaK78cyvVMVlF2DRtkqzksCU1fJcrk37x7JBJ7RRJpIPm1uoGuCsOhZCKGg/R00Gfo8UHKMi37yF4CKZ9Kq2UXKj/jYAhrH0mjWbISioBvnSaiPz7mfblwCsq5ffAqxfnmuxDSQ5/9a2eTycpUoyWZ8AGBWX/dHIcNJxFLLQygTjvs+V1ZqXFurYehSgHB/f0AQpbSq9rlnPIpTPNdA0wSKEOi6oFY2ZzX5cvvpPAtVFawulGdnhjRLefd+l9FE9jsWmh5rixVqZXnmWWyd3w9cS+ftuyekWU67Zp87k2U5/M4ry7x+XfaGB+OIziCgXrLwHJ21+RJJIVovOQbTMKZZebiZXV2t8eFOH0NVubXZmCUqyt85I4ylgMKPEqZBQsWTn6VhaGwuV9k7nqAo0KxatKoOo2kkU1CTjF+8f0QQpeiaiqWf4XsIZlyy54FlyhohiFKZulrUCYYmQIFOYcyh64K94wlJmvO87KdGxWK/SE10LI127dMnfF3g+ZAja5RGRfbJPj4D74vHfMNDFVCEw6AL8L6gtLZPg7PmVADN2lfPgKZRsznqBzK1WsBi+6v3O9zfG/DBVg+QNeibHx6fO68+Ly5EHL8hLDQ9ojijUbXwHIMwSsh9KW6QsVEG//L71/jRrw+kW36R0uGHCZtLZdbmK0z9iGbV5vpanTjJ2D8Z8/bdLkmao6kKmqqyPOfhB7L4uLpaIyfn1maT3jBgMJaFQ5LlzNUcXr069xjBcGWuxELD4efvP3Tn6gwD1hfKHPf9WcxXxTO5sVFnMI6wDHVGHK6XLfJcOoi9fKXFg/0hUZzh2To3Nup895UlOgMfVVXpDKZ8uNUjLAazpqHRrMrhThAmvH2vM2sobSyVaVaffJpWVcFLV9ostjzu7g5nfz7xk3Pfd+qYb5vaE9MywjjloDNBKLIp82gjXFEULq9UZ78fSMXuYaHMn6s7T1XvX+ACT8I3Xlyg7Or8+J1DFpoy/haAPCdJc04GPid9n4onBVXDcThzeVRVhSvLNZI0Q9fkUKIzDLi6Wmd13sMtnFN6w4DdI9mcee36HO2azfJciXfvdfHDhCzPubXR4N7eEEMXrM+V8KOUWslkueUxGEeESSqbFQrYhkZnGKAKhSzLWWy5stgPU9YrFoam4hWxvYfdCVdXayRJzvtbXRabHreuNFlbKONYOpeLZvDvvLbEX/x8B0MT1NqS/G2ZGromsC2N5Zb3mBOKKhSuFyTuneMR+ydTVtsWtqU/c4g1DSL+7Q/vExUHtZevtp7pVH4WtqmhqgrLbelKZJna7DUfTcYA2exxLP1cFOt+R8Yjnh5M5moOjYot01kUeGH98QFMluXsnYw57E6peJL8YRoar1xtn1uXLvDlwNbegCjNUTVVijaGAWXX5OZGE1MX/OrDE0A2G3rVQAoyXJn44DkG3315kZcuN2fumZapwShE1zSurFS5ulqjUbZ4cDCiM/B5Ya1OlsvD/6lD7lkEhSPC08jZUZxyZ6c/G+Te2R1wbVU2O/aOJwRxSq1Yo2xTw7MNjro+rTNEsRuX6ueiSVVV4NoPn8f5hksYp4ynMWXPOPd3nwTLVGcDjlrJ5B9+5xJr86XZe3LqOrTcLmFoshlccnSurtYYTyPevd+diU1f3GziWNJZKsvy2XM5e3+ihDs7/RmZPs/ghUt1NparXHrk+ZJJZjppEck8GIdEcTobGtXK1nMnZM0V8a5yLVGplZ98GEyznIMiea1d+3hErtP6RkHWo7omeLWIlT/rznqBzx6aJvjDb6xxe3eAoUnxkKIovHWnw/7JhLEfkyTSHSUIY0quSdUzOOhOEapBFMVomkbFlQ5qB50pcZaRKwqmrsxEipvLFZbbJfqjkCDKiNIMsxBePguOpT0kEiifLJLSLZJjQD4fX5RD1ULTZb7hfKH7oaYJ/snvXibLsovn6wLPjT/98QMAXrnaPrePfhlxfb3O999Y5c9+ssX/8f/xU/5P//vf/TstwLnABT4LCFWlZBvYhjxXeo5OlmeoiuDV63N880XBztGIpabLr253WZsvoSgKH2z1eOmMe/Y0iDnq+eiaYL7hysQG7aP35GbVpuIaTAu31MWmh2trpGmOrotzNe18w+XB/oA0lyYKO4UQNc9z6mVr1rOruOfXsTBMzzm7PoppEM9IFqewDLVw4peHk5W5Es2qXZgd5DzYH82+d32+RGcYkKQ5q3Mlvn5jHsgRQvDz945oVeV+PAli4jTDFPJ1XPvpNU+rZtOsWs+sKZYLcxo/SFgsm3ztenuWEHJ5WRJrNpYqBck0pjeSJJnnSQO4wG8v6hWbjaUqigInA3l2VxRJkJurOfz+aytUyyZpmrN1OCQIk5njvloQKz/c6pEjz5PPWztcWqrw4VaPIEpolC3+80932D+Z0B8FJEUS6Np8iWmQohbn5c1lSXBamS+x3PbYP5mgaILffW2D7768SJTkeI7OxI857EzOPVenAjGQz9+9vSGjacxoGrHclkYvpqESRilRkpFkGZahk5NTdnX+4I1VTFP+PMfSubHRoFW1efVqi5+/f8xgEjBXcznsTjENdUaUky6NKp2BdJf8OAKOC1zgLExd5cXLzWf2XOfqDu2a/dzn0FevtamVTQ67PlEUYxR7tWM9vY808WPmGy5HvSlpms+Sbj4KtqlRL1msLZTZWCozX/dYanl4jsbbd7uYuso3bz15gCyEgmdJQq2iKJwMA/76zV2ZhAO8cKkxI0M7lj4zZVJVn7X5Mt99eYlm1UIIwUFnQrNiYZoqpq6iqWqRjCETevePxiAk4fre3pC5uku77mBogj/61jp3dwdYhoZlqOwcjWf981oONzcadAYBRz0fVQiqJROhKJRdHV0TVEom19dqlF0TXZNpWX4Qc3u7T7vmctzz0Q2VjcUKf/TtdUxdRVEUBmNp5Gab0rE7iFIqriFrk8Lxdq7unptXzDUc+uOQLMtlysgT9nrH0maOtUIoWMWc8spK7aK3f4HfOKoliz/+1jq7xxOqJfOxZOpPiyf1mhVFYXO5ysbSJ7u/S47Ba9eePPuqeCYLTXfmtL/QPE/smQZSxHFKjJwEjzvrJmlGFKeYhjab7ZuGYDAOSZKM5ZbHN28toGsqP3xrTKVkkmUZYZyiqwLL1Lm0WGEaJLy42cQyNN6+22FlrsTdnQGTQArxX7zc5uZGg+EkIipmI7ouuLZWY+tAitNLrsFCUctcXqmSI9fF9YUyf/aTbZIkQ9dVDjvSyOrycpV7e0Mm0xhFKDimhqYJpo/8ntdWawzGEQcnE9p1h2kQ0x9HCGQPs123WWx5H3k2Avj+G6t8uNNDIGb1oXyfH55BsyynXMyGhaIghMJcw8E0VDxbp+QavLBek+7M7RK1ssXKnJx1n60bv6roDQP+/Y/uz3gt33l58TduMvS1a21+dfuEPMtZnS9Trzj0xxFpDs2yRewYKELhxQ2Hg+4UTchkur/3tRUMXZ09WxM/5qg3JYgSDF3ws3ePOe5NSbOcP/vJNmvzZRaaDkJRsC2NZsXi/v6QaSATsvwoIUkznDO1u64KkjRnOAkIooTj3pTFVokoyVBVeGG9QZJIMyjX0nFtg3/1xzcouzqqqs7MptJMzjhOjea6g4CyY3JvXzrXbyxW2DocYRgqv/Pa0rnZxnzDJYozJoUxo6aJc4TmR3Flpcr9fZlwtdwuzeb3F7jAbwsuLVZYXyg/156cpBn7JxOyLKdSMmhUbOpl2Scz9PPPxlzdoTsMZC9REzSeMfv/KDzpDGbqKnzE2UdRFBZbHiVX54X1hwKhBwdDekM5+9w6GLG+UGLvZEKa5dwsuFG9ghOx0HAfq8mfVCec4upK7UzaT4RjasRJiqoW+19Nnmc8x3isN5ukWcFVkPzISiHCBFnPCKHgOQY3Lj18H07/bWiyhxInGZWSQbPikBSMc10Thah1blaP/fTdAz7Y6lGv2ORpxo9+fUCew/29IQsNh9euPzwP/v3XV7lTGPFuLlfojgIOu1MMTbB7PGZUiOvjJKPiubzYLjEJYpoVi7mPKVx8lD8Ckr+ysVihXrYZjENcW6dRMT8W//KVq3MohRBxZa6EZf52mOJ8VdA+Y0LzvDyZLxMsSwqltg5HKIrC+nzpicLlLzsMHcIz5U79Kzi/nWs43NsbkSTSLHiu9tVL4jjt/Tzt6+fFV+9J+opAFTJCyjJU+sOQ/ZMxYZxhF4eJWsmmWrL4o2+t8+69Dvf3hwwmEeNpBCjUyiYrbQ/H1jANlfcfdJkGkoDdG/k0KzbVYmi6czgiz6XLxZWV6qxheGW1xn/62y2SNOOlK82nLpxCiHPDUk0IDrpTdgv395O+z82NBo6lY9Uf/xmnhU2ravPiZpPhJKRdc3BtQzoFF8rads1mGiSzAy1IZa6mCgaT6Nyfd4fhU0Ucpyi5JqqqzP7eWVeN3jDgdkFOLXsG11Zr5wrULMt571535n4/mkZPVYGf/Xtr82WaxTDoWU2OC1zgSXhho0mz5nJ/f0COdMBRVcF797sMJxGOLV2kbm42OO75s+cyTXOur9dmjUhdEyw+ofEaPap+T2XD48ZGg+PelPv7Qz7Y6tMbBTTKFkJRaNU11ubKbK5U2DuezBT0g7FMAnHtAHJIsoxGxebbLy0BcqD0zr0OeS7JIK6tYxfF8WFnShzLIcdpXPhp0dOsOvyT39nkp+8ecmd3ICMRSyavXms/c9i6dTjiuOejaQq7xxMuLZa5vFL9yL+zdzKZCThAuh9/XBHH1dUaJ32fakm6fGZZLgkwH5GEcdaNK4xSJkEyS+3QNMEffH2V4/4U29Rm6v2zeHAwlL+rqrBzNGZjscKlIp3oYsjz5cNgIhOkTvt8pq5yc0PuK3me49pyyKkKgalrlF1z5u4khMLaQvnc0OP1G/P86K09gjDh0lJr5mT0wqUG3WHA7e3+7HsfHfyeFRAtNN0nul4lacZZDZK8FsEff+sSx/0pWZazfTQmjFKW5zwqnkm1ZHLckw5MpqHOapqn4eO640uX2jrHvSmGrrLY8s65CNumxvVC8NQZ+PRGYSFicdg5GhfqbIFjSrJLxTMpe8YTnYjjOGX3eMLEj0GBLM8A+bOf9nzd2R3MyO9pllMpmVRc42O5LFU8k5cuNwnjVJJyntKMuL83mDWEOgOfly63nivmO89z3rvfnRHsR9N4dh9eEMw/HxiGdq6mnAaRdIfyDNIsx7U0TEMw0QVl16Q/DCh7JnGSoSDrcNfSSNIc21JxLANNS6i6JiXX5HdeXaLsGigoTINYDkIKp7nngXSpUZiGkszlfYJ69tJiGUMXxEn2XGSS3yS+LPvhxfN1gefFxI/5Dz+SIo5/+J1LX/DVPB/+1//kFu/e77B7POG//e/+mv/2X73+sZ06L3CBCzyEUCTpOEpShALv3e/hWvKc+OYHx7xwqU6tZNMZhARRjKk/3oeLk4x373dn/TA/TGamCR+FxabLGzfn2Tkc41gaX78xT38iSUsVz5wRGECeWU1DI8ul212tfHpWzxlMYl69JvsRk8KxXwiZ1nltrUZnGKD8/9n78yjJ7vo+/H7fvfa9932ZfTTahYRZhZCwbMUcAvxM8oCdH4njDZzEimPik9iOjzmxTBzbh2M/TgzxAWOHAH4gCTYYgw0YkAVCaLSMZtP09PS+1L7eusvzx+2uru7pvbv6VlW/X+foqGu6uurbM3W/97t9Ph84Y4Z616bSSGbKgOBk2l3NGqsqEk4PRTGfLEKRRfR1BGoHKKqGiemFQm2T8sRAFK8JeVA1Lfg9yspYf6UyR1CrZYyNhz3oSfiRyesIeBV0xbZfY9zNmEKSxNv+nrdaS9RUBd3xncdZg91BXL2VhmXZ6Ir72qYKB+Bkdk9my8jmnWCWjdkIjwtn/c6PVyaW4dVkyKIIRZYQDqiIBDVIsoCZpQKevTSP7Eomx0yhggfOdqNqWHhlIgXDtKCp0p4CFPJFHaWKAdsGrk6lUakaiIW8ME0LumHj5EAE/d1BwHYqBHlWqmwCgKrI+MkfOYtLE0l4NQVnRmLrAsb9HgU+TcbLE8laurfV6gKAsx5m20BHzAdJEiFLAk4NOZUu55aLmF7MQ1MkGKaNgEfBSG8I95/rQa5YRaZQQdCn1vqHgE/FUE8Q88trc46NmT+74/6GZD8e6Q3h1em19VtW4TgednM/2Os8dLgnjOGecG0tK+BVtv3MRkNOJvv+zqCzrt61u+rzI33h2hqYKAoI+hV0RL21QMPtjPVFsJQpoaKbkCURXk1CvmTAtm0spYt4zUqm/ZODEUwvOge87j7dedueY0fEi5ll575t2Tb0qolsoYJExIs33t2Pq7dSuDrpVLuPhT1IZsvoXLlHe+rWU27MOAeKAl4FAa+Cvs5ArSqFaVq4OZ+DIomYXS4g4NPQ36Xh5KBzyPnWfB5L6RJURYKmSsgVdXREvHjgXDcMw8Ib7hmoVQ8ulKq4PJmq9WX9XU6mYNu2cfHa0qbra4Bz2Ly2vqfJmx78HO4NQ13J7t8Z860LYG2WtQxqb5GgZ9N9p8Oy1VrYQT/fW/38WH8EXfEqxE2S0gR8yvrzAhv27Yrl6rox1dmRGBRZQq5QXRfgUigZiAQlzCcLtcpApYqJ197Rg5nlAmRJxF0nO5xEXSuViUI+Da+/ux+ZfAUXTnTgRH8EoiigVDEwOZdDOlfBQqqInrgP0aAH3XEfhrpDtcDc1SpQsIFkpgxNFmEYFiIBDUGfgv5O/0rFIRFT8zloqlSrbrfx9xRFEQ+eX6v4Or9cwN89NwVdN+HzOoddB7uCOwYFy7K47mAs4MzL6uegpu3sL4kbzlAM7ZBwdrgnhCuTTsWVjujRVOFohMn53LpzLROzW1d8OCyPPDCEeMSLqmHh/FgCxXIVN2Yy0BQJScMp8d0T9aM7EcBr7+x19hfqkhKuHnS9NJGszfs7ol6oigifR8ZCugTLtmFZthOYIYu4YzyB0d4wbn3pEnLFqpMhXXUCizrqMp5XTQsdES9SuQo0RUI6V1mpUOVBIuLBW+4fBOCczymUq1BksRZ0ZZgWLt1IOlV0CjosC+iMeRHxa/B7FCewHAIquoly1cQDZ7vR1xnY9ByRE+xVqs0XNl4j9XwehRUiqO3t9p587Va6FliQyjkJEuaWi7XzC/V8HqVWWaG+j2l0O8MB1Zk/ZMqQZfG2OVK1un6dIJmr1Kr+liomHjjX7aw7SiJGVu6jq++71ThhlSgKtT5vbtmCzysDgnMPFAXg6sqZjaW0c6aqs24NUq+aCNVl9x/sDsKysel4ZrU9q/8f7QvDozmBHE7lXhnTiwXYto2euH/dmuh8sohXbjrzmqVUCbNLudo5EMu2MZcsrXsvWRZxanhtntgZ9a2r7nVRXVqZGwo4MxxFX0fwQPvKm0lEvHjswSFcn87Atm0MdAShqbvfb+7r8EMSuwCgdi+joxH0qU61n1QJsiRisHtv1X6agWk5VfAkUQIEZx3bNG3IcmvN1TVFRqW6kjwCgNfbetdBLOhF2O8E0CuKhEAL/g5DPSFcnUzXxrk7nWHdSuv95i3G71VwaiiGsb4IOqMpLGfL6Ih68Ia7+2rP8XkVxMNexMNelHSn8kU84oUqiysZZTxYSDrVH7rjfmcjtC/ilBmP+hDyqcgWdPi9Su2AMOBkmX7gfDdsAJIgoFI1N82UK4oCTgxEMDmXAwRnkj27lK9937adhYudNhILZQM9iUAtaKNQqt42+e6O+2vBIZGgVssQvvGGupsbrKZIODcSRypXgWdDtpvpxXxtUJLN68gW9HWHrQ3TqgVwANg2En8jBm/QQXVEvYiHnc/r6sbK6mfQpynwac4Bg1LFQDbvTJgkycmKt9NEKBrUMLskQq9aEATUJhSSKCBfrEKAcyDYtoGuRACSIOCe0521QXk06GwSrR7OnJzLoTvmQ6liIhbyYLgnhLnlAvSqM1k4OxJHpuAcpF5Ml5wDGQC8nrUKOJv1IYos4Z7TXeiK+VDRLfR2+LcNiFi1+vcUDzmBcKcGo1uWnl8VCWjr6ohtt2izlXBAq7XPXlnE2ikrh1eTUa7UZSrfMOmQZbHWX24mV3T+7eMrQXunh6INXXSngzk/FseL15dR1g0osoTzK4FCqWwZ2aKOrpgXhulZmQR4YNk2JNEJxurr8N+eXcqv4tHXDG36WYuFnMX+VNYpVV1f5tOp4FKoPZ5dKqC3I3BbsIBXkxHyq7VFmdXN4/rPZW9HYN37D/eEEPCqMC0L8bCnIdWoQn513VhmK6vjplX144a+jgCCfhWJiHfL6h821oJXYTsBbztZvSYB5+9vYGUDea9URdrx0PvqJhHgBPE5n6ud/16qhlXbYAY2zzpGR0uVZfh9TuYnryajWjXxw68dgWlaePHVJXw341Tt0RQRsJ0NSUkWMbuYR6FsIBLQkCs6n5uumA9BnwpZEuH3KhhTIvCoEjqjfiQiu7s/rGapOQhJEjHYvbtDJES03he+cR2lioGBriDuOdXpdnN2xe9V8B/f/yD+wx99G7NLBfzr3/06Tg/FMNQTgiQ6G8DFsoFCqYp8uYpCqQpRcDZqR3rDOD8Wx10nOrasDkZ03CQiXiymnQ0Oy7LWHX4s62sZejyaXKu8JYpO9dtVFX19gpRCcXdjPkEQcO/pLtx1ogOi6FT5CtcFgvo8TlIJn0fGtW+la2PdcrmKgNcJ6FBkCSM9a4dToiENsbCzbtkd96O/M4iRlXF2fTB1qWLU1gtgA1ML+XWbg6sVCjdSZAlnR2NIZSvQVKk2/99s5DPSG0LQtzpf8UKRRXTskCDGbeGAU9HDstF21X5FUcDpIaei6nHPaloqGwj5NYT8OiJBDYWyAb9XwbmxBII+FbNLBZRWrn/bBoolA6WKieVMqRbAVNFNLKVLt2We3srMYgG27cwRlzMVpHIVRIIaehIBjPaFcGIgtu5a2Sjo1/DAuZ5NXtnhZIqMI1uoIOBdP49fzcorCQI6Il6M9oVrewQPnOvGiYEI/v75aedn/Ro6Ql7n4FfUu+4w2KqOiBdL6RJM04YkCUgcINPnXsTD3loFss2SQxDt1ca1rK3EQh6cGoqiUK4i7Nd2vR/lJFkQUa6Yzt6buvn4u1I1sZAsQhIFp9q8JGKoN4iq6VS2zxV0zCWL8GoKyrqBU0PR2kEkRZYw3LP1eoAkieiJ+2GtZNJeTJfQFfdjtDeMYrmK86MJ2NbaNbVV4rmOqA/LmXLtdeJ16//DvWGEAxrKuol7TnVCkUVIkpNtO52rwLQsJLNlKLKI4Z4QKroJy7bh0xT0DwRqARyAs4eJuiXB1fU4w7TXr6+VqrdVB9hpfU8ShU0T6xDR/m11aNCjylueFwCcg431Y6rFdAm9iQC8mlyrCuFUSlurvF2tWrDhJHPrjPnQ0xGAgLX+K+RT4fXIKJUNRILOmL6+j1/dy1yd45WrziH3zqhvXfumFvK1fiid13FqKIqphQJs2BjpCUEQBaSyFfR1BHD3qU70xH1IZitQFXHHe0pX3I+3PTiMXEFHNOQ50PmGjUk6RUHAYE8Q+WIVqiLtutpLwKfi7lMdu9pjPSy2bWMhVUJZN5AIew/lnMfGfen97DvvVTTkwZvuGXDO/YgCbs3nau8d8qvoivlqiSO3UqoYa/ticO57Ib+K+WQRsJ1xvKpIqBoWEhFvrcrmQFcQVcOCbdtOwtPo+nm2qkjweRVoquxca4KNkM9Jxlp/LxRF4bazQ8uZMkoVA2N9YcTDHqiKhPH+CDRFwsRcFvli1dn/swFdNyGKwrpxQT1FdpJaJlfOObBKH9Hu1O9/61ULnTEf+jqDEIXNAyx2Uw34sK1WpjJ7rNqaZr2uuA+5kg7YgEeTkMlXIKwEOCxnyjg3Gkd33A9JFG/bT91qnLCZaMiD00MxLGWctd2NSWPypSrqd3264j5MzTvnI0MBp4LVboNrRFFAf+f6+cRWc7GldGndvMajKgj5LRgrFVPqz5Jspliu1gLhh7qdysfpXAUBn4IzI4lDC9zY6PRQDImwF5Zt16o67NZgdwh+rwK96pxbYeKNozXSG8ZgV3DT67EVSKKAaMhb+9yEg1pLrv0FfCrKujNvURUJotR6v8NAZxC9HVlUdGe9fKeE/80o6FPx2ENDSGbLCPrUXZ193Qx30RssHNAw2hfGQqqI7g4fBruDUBQJxbrSKQOdQYiCk5VhPBJBLORkoFlKl+DVZPR1BFCuGMgWdEQCGuJhD8b7Iwj6nOzSfq+y6YRTEgWYtWjN9dkQNmvnHeNrH6JiWUNm5fC4M6Ha+aYc9mu1DVlBwKbZE/o6nGze5krZsFVBn4qx/jCWM2X4PPKWg6KNPJqMnk0WejfeoDc+VmSxtrjitL01Mz1Q69o4AAj51VqGd68mQ5UljPVFMLWQg2Fa6EkEdjXwVBXn8HihVIWmSus2ayTJGUCJggDTtuFRJIT86rpFDKd6ztqGcMivompYtf7mxkymlol/MV3ChfFE7XoNBzRkozpEwZmgTM7lar/rZn2IpkgY7Yvs8m/MEfartetWk6Vd9U2JiA8/dKEX16cyCPoU3H26a0/vuZEgCJB2MfgZ6Q1DlfPQDRNdMf+mQXTbCQc0lCtOAJ+mSPB72U81s/vP9qCsG7h8M43+jgAeeWAQqWy5ln0BAE4MRjDaG8ar0xlIK1VqIkFty4nNdp+1we4QBjfJarR6v7fstYNTm72CIAg4ORhFrqjXDoTv9P6CIGx6oKIZxMNOBqJsQUdoF9Ux1JUFi1LFgCQKiO1iMTccWBvnaKoEbYvN8MMQDmq1AF5l5fD/bmwc3+wmIIYaS5ZFPHL/IJ55eQ76golTgzEsZ8oY7A7izpOdSGZ1AM6hhKBPwcBK9pigT8aN6Sx8qoxcSUV3wo8TA5Ha9cosUUSt5+ZcFp/72lUAwHsePdVSC4K9HQF85INvwB//7xfxjeemcWkiiUsTyW1/Znoxj4vXlvCFb1yHR5XwmnM9eMPdfbj7VMeRb/IQNROfR8EdYwmUKga8mgRFkZzNvJXqFLWsa6KA197R4xzul8R1m2UezanOuZpdMhTY25hvq0MdqxmuAWedLpN31ij6uoJ4Q28I00tOBtnz4wlML+RhA/B7ZNxa2YycWSwg4FXXVcqtvacorEuuIO9hQ8GjyuhJ7Dwebub5ynYEQUAL7q/s2nEP4ACcuWQs5IENZw1guCuEE8NRRALOekA44GSZTVcrEAQBQb8Kn0dGOrf+g7Gbtaj651q2jamFHEzTQm/Cj7Ju4tRQFHef7KxVyz2I1Qz5G3VEvTCttfn5xqCLaMiDO8Y7dj3nre83fR75SMcRrTReo/ZSn1BoL6JBD7BN3MBmFepPDcUQDXpwx5hTWSLgVXDlVgrTCwXEwx7ceWL3Fa0BJ0lc1bAgiyI6oj6cH41DEAWEVgJSTg1FsVi397mZgNfJ8LvVdb/xgDawFgzpVAYXIIkiBEFAf2cAJwcjkCXptvXPgM+p6rV6oHX171yRnUyuxbr1tVY8mEJ0nGx1XgDY+szAcE8Isiw6FXOivlryie6YD96VtX+vx5l7bewDJEnE2ZE48kUdqiLdNpYJ+zXMLxfh88jIFnT4NCdr98b1elkSUcFa0NhoXwSD3SFYtvNc27aRK1YhikJt3LWbuVGtHfu8n2zk8zhJioyVOWh3zI+AT8Fyprxtf76Z3e6xHpaphTxmVxKfLaZKOD8aP3CikYGuIO4/041bCznE9nGv3K/6sWnIr2J2uQCsVESJBLUd514b/x1DARUnBiOQRBHXbqXRk/BDkUXky1X4NNmp1mk7ARnnR53fURBuHyPLkojTQzHMLhUgSQJOD0exnClDlsQdAxpX1wYEQUA06EFnzFf7mWhIg20D5kp7FUXEnScS284HtA3nHIhoZ+GAdts5pWadC2/Vz8VCznxGX5nPXLy2VFs3FQRnX9/v3bxv2OlsYT1NkfDAuW4spIpQV6qsXrmV3rRKKQD0JgII+zUYK+cjGzWn6I77IAioJbp+4z19WEiVMLdcxGh/CBfGO7b82Y3VtsoxH+4/241iuQqPJu/5jNNeiKKwrnLJXjFYz12tvOaryBIeuqMHVyZTgACcHow1bb+3neGeEEoVE7Ztw+9TMNwdcbtJezbaF0a+5CQIjIY86Iq3XhAHsH5vbb8E27Z3Tj1MAIAXXngBAHDHHXfs+Wcz+Qou30zVHns0adsb5UamZWMhWYQNG51R364Oc+eKOm7MZGCaNga7g3u+gS1nSijrJqJBbdcftFS2jEK5ikjw8Mpo7Ue5YuD6dAZ61URX3LdpUIhhWlhIFSEKAjqivrbLeEeN8eyzz0JV1X31A9uxLBsLqSIsy0ZH1LdpFryDqhoWrk+lsZgpoVQ20Bn1YrA7tGMli3ovXFtySvuuODUU3XIBcD99yE5s28Zi2imFGg952jqj77rfNezZMnsaHb3d9gM357KYXy7WHvck/BjoCq7dKwPajqWr9yOTr2BiJgsAGOwJ1jJH0npzywXMLhUgyyLG+sI79lPr+2lvQw+O2LaNxVQJVdPJeLSXBRKOb47OXsYEC8kiJmaztceRoIaTg1FcmUzh5lwWQa+CO092IpOvwLJsdMZ8mF7IYzFdRF9HAIIgYHapAEUWMbqLzysRHY3d9gNzywX8yv/321hIFnHPqU782r94sGUPAS2mSnj+6iLmV9YnFFlEwOMklvB5Ffg9CgzTwmKqhCuTKXz/8oKT0W+FV5Nx/9ku3DGWwFh/GPGwUwrcyXZrIF+sIlvUkSvoyBWdqpq5YhX5lcBTTXUOR4T9KqIhD2IhD6IhD6JBbcdKV8eVadm1QFS/V+Y95JAddI1g49gtW6igUKoiHNA2TY6yqlJ1svIrkoiO6N4yle1GJl/Bc5cXYFp2LVvdZm7OZtdd46tzns0spIqYXshDlkSM9IVdXTckOmw79QWZfAW5or5lNq6ldAkzS3n4PAr6OwPwrGSxvT6VRqFsIBrU1gV67aRYruLyzRQu30whGtScA88C8MDZTbJBuOAgc16iZtWofYPDVK4YuHhtqfZYFAXcd+ZgCY82ql8/UxUJZd3YcVxzWFbX+sq6AUlw5g7DvaFtDzAXSlWkcmX4PMq6fZLVMZoA52AR19doN1qhHziOTNPC9ekM8iVnT2akd/sxlWnZWEwVYdm7P5OxmdXxn2XZEEVh0/2gYrmK69MZGIaF3o7AbRm9m0lZN7CcKa9UPDz8OWijvHxjeV3l89W1qEY6qr4gW9CRLVT2lPF3q3/HYrmKVK6CbKGCXGHt7ysa0tAZ9WFiNlurxLFZMOV+2baNm3M5JLNOotexvsi6MxLr7sdRb0sfGKXjpZXGBEdxTumorZ6VtCwbA13bn5Xc6zhhs/fK5CvwexVXz2Qspoq4OZdFLORURN2tjWdZvZqMO8aPJjix3bVSP3ActcMY4zsXp/H3z8+iUjVxeiiGxx4aOpK1l8NkmBauTaVR3Mf6d6vYbbwBT4QeEZ9HhiyJtTJcIf/esh5IorDnqPGgT91ToMhG+5nARlcOULjNo8k4N7p9hmJZEndd8YOo0URR2DFz/EEpsojTwzGcPsBrBP1qLYhDlpyMVFtpxCKYIAjojDbvIuZhOk6/a7sK+dR1QRyrA+ZG3yvDAQ13ntz//f+46I7799TvHkU/vUoQ9p95guOb5hTwKeuyoKxmXTs5GMXJwWjtefVZ24Z6QhiqK417VJ8/Ijoctm1jPlnEN56bxuf+9iqKZQPdcR/+9XvuaekFqI6oF488MLir5z7ywCBs28aVyRS+8dw0vnVxBsuZMr7x3DS+8dz0obfNqTLoQTzsRTzsQSLiRTzkQTziPA76VPg0GZoqHfm/gW3bKJQNpLJl6CuZj4WVymxOpmABsiSu/CdAWvd/ccdDY5ZlI5UrY265iOnFPGYW887/l5yDbKuZxwAgFtIw3BPG+EAEJwciODkUZdCvizaO3aJBz67+PTRF2lO2070KBzS86d6BHZ8X9Kvrgji2qwTXGfVxjkvH1k5ZkBMR720VK2RJxKmh2L7ez+dRcNfJDkiSgHLFue+EmmgT7yBzXiLaP1WRoClSrRJHIyq4HuX62UZ7XesDAL9X2bRCMdfXiNqHJInr1l93fP4h9WO7qYKxWnGsFXjUvVXcaBYhv1oL4hBFYdM+v1WF/Oqe7+Vb/TuuZg+OBDS8fGO5to+xGiBy54nG7DkKgoDhnhCG6/ZB6vF+TNR4bo7fG2UvZyX3Ok7Y7L2a4dB0R9SHjn2su/o8MiRJqFXiCDZgjkjUjNphjNGdCOCN9/QDAOQdKh03q9WKbsQgjiOjyBLOjMScLHmy2NSZFIiItjLUHYRHlVA1nEx5jcxET9TqoiEPTgxEkCvqCPk1RIIHL1tNRK3J51FwejiGVNbJ7rjxgBYRtZcvfWcCn/jLl5Gry/R3cjCCf/+TDxy78YAgCDg1FMOpoRje/4/O48pkCs+8PIerk2lMzGaRLVRgrWwMi6IAv0dByK84mx9+ZwMk5FcR8CqwLBtl3USpYiCdryCZLSOVLSOZrcAwrZUMhDpuzGS3bZMoOEFzXo8Cn0eGV5MR9KmIBDSEAyoiQa122MLnkSGLIiRpLdDCsm2Ypg3TsmGYFizLRqVq1iqHZAs6UtkyUrmK075cBelsGXpdIMVeKSsLsPX/rb5vsWIgmSnBMLcutCuJTsCIYdpIZitIZhfw/csLte93RL04ORDFWH8YkYCGoF+t/a6WZaNqWKgaJipVC9WqCd2woFdN6FUTVcOCYVpQFal2MFBT676uPRZXvpahKiLEukCajTWCbdz2B9s9xMYiw9vVHL7tuXCqVlZ0ExXdRFk3UF75f6lsoKQbKFecz13Ir+KfPHa6LTLSHZbYhjnPbrN/ElHjCYKAM8MxzC0XIYkC9yOICKIo4MxIDPPJlX6hzQ5rERERbdTXEYAqOwGMsZAHHpXHo7bj93Ifg4joOFFkCWdH4jzLStSChrpD8GoyqoaFjoh33xUEqTlwlnKEvJqMga6g280gIto3QWi/SHyiRmqWClVE5L5mycZCRI33wrUl5IpVSKKA08MxvPWBQbzp3oEdqym0O3Hl7+P08FpWFScww4AiOxUn9lMhw7Zt5IpVLGdKWM6Ua/9fSpewnC1jOe08LpSrsG3AsoFC2UChbBzmr7crfo8MjyavBBk4wQSW5ZQMNi0LVcOGaVm3BSE4QRROgMhWRFFAIuJFX8KPvo4AejsCK//3oyPqgyQKKJarmJzL4dWZDK5OpnHlVgq35nNYTJWwmCrhWxdnGvfLt4nXXujBiYH9Z2drR5zzEDUvRZa4H0FE66gK+wUiIjo+WAFu77iPQUR0vPAsK1FrasdKSscZgziIiIiIiIiIiA7JL/z43fjxR0+hO+5j5bodiKIAn0c50GsIgoCQ36nYMdIb3vJ5tm2jojuVK4rlKkoVA8Wy83WuWEUmX0E6X0Emp9e+LlUMmKYFw1qtvmFBFISVyhxrFToUWUTIr9XaEQlozsH2oIZYyINI0HmsKbv7PJiW7byvacEw7bWqEBUDxYrzf0kUoCoSvKqMRMSLWEiDtEOmndXKUKeHY8BrnT8rlqu4NpXGlck0bs5lkSvoyBV1WJYNQRAgCgJk2amiocjiSsUNEaos1b4WRQHGajWL6sp/ulOpY/WxXvszC5WqcVugyu3xO8K237/96cK239/u9RVZgKbK8KgSPKoMTZXWVT3xrDzuTQQw1he57e+ViIiIiIiIiIiIiIiIiGivGMRBRERERERERHRImN22OQmCAI/mVMKINXnVAEkUIIlOkAQAhPyNy4Do8yi4MN6BC+MdDXsPIiIiIiIiIiIiIiIiIiJab/sUfURERERERERERERERERERERERERERERERHQoWInjmJqaz+HWfA6RkIYzw3G3m0NEu2QYFl64voRK1cSJgQjiYa/bTSIi2tK1WykspkroTvgx0ht2uzlEbaF+LHBqMIpok2eTJyIiImpH6VwZr9xMQVUknB9LQJWZK4moEbiPQcfFjZkM5pYK6Ih6MT4Qdbs5RERty7IsvHQjiXxBx0hfGN1xv9tNIgIAzCeLeHUqjYBPwbnROESRc0wiolamGxZevL4EvWri9FAUkSD3c4mINro0sYx0toL+riAGuoJuN8c1DOI4huaTRfzdc1OADWDaOQh2x3iH280iol349gszmJzLAQAmZrP4R68fgc+jutwqIqLbXZlM4ZmX5gAA16czkCXxWA+6iQ7LN5+fxvRCHgAwOZvDj75+FD4Pp3VERERER6WsG/jrZyah6yYAIJOr4M33DbjcKqL2w30MOi5uzmbxrednADhraAAYyEFE1CDPvrKAyzdTAIBXZzJ4/LUjTJJDrssWdXzte5MwTRsAUCgbePB8j8utIiKig/j7H0xhZrEAAJicz+Htrx+FqnI/l4ho1QvXl/D8lUUAwPWZDB65f/DYBtkzfPsYWkgVnY2PFYvpknuNIaI9WcqUa18bhoVUTnexNUREW1tIFdc9nk8WXGoJUXtJ1Y0FdMNEtlBxsTVEREREx0+uoNcCOABgKcO1VaJG2LiPsZQub/1koha2cQ1tMcX7ChFRoyzXra3aNrDMsTw1geV0qRbAAQBLPL9DRNTy6s926bqJbJFnu4iI6i3Vr3/ZwOKG9bHjhEEcx1BP3AdBWHt8XCOYiFpRd8xX+1pVJcTDzA5DRM2pNxFYeyAAPfWPiWjfOuvGApoqIRLUXGwNERER0fET9qvwalLtcWfU62JriNrXxn2Mrrhv6ycTtbCeDXt03Qnu2RERNUpX3dqqJAnoiHJ8Qe7riHghy2tHt+o/p0RE1Jo6ImvrhV5NQsinutgaIqLm051YG/MKwvE+w97SdZomJibwy7/8y0ilUggGg/jP//k/Y3x8/LbnfeYzn8F//+//HZZl4aGHHsKv/uqvQpZb+lc/kETEh7fcP4hb8zlEQxrG+1mWmahVPHi+G+GAhlKlihMDUXhYbo+ImtRoXxii6GQP7In70dfBIA6iw/DaCz0IBzVUdINjASIiIiIXqKqMtz44jCs3k9BUGWeGYm43iagtcR+Djov+riDedE8/ZpcL6Iz6MNQTcrtJRERt6+5TnfBpCrLFCkZ6QwgHmCCH3BfwqXjrA4N4dTqDgE/BmeG4200iIqIDev2dfbg0sYxK1cTpoRhU7ucSEa1zZjgOTZGxnClhoCt4rAPsW/oO8R//43/Eu9/9brzjHe/Al770JfzKr/wKPv3pT697zq1bt/B7v/d7+PznP494PI6f+ZmfwWc/+1n8+I//uEutbg7dcf+xjl4ialWiKOLcKBduiKg1DPeEMdwTdrsZRG1FFEXcMZZwuxlEREREx1rIp+K+M91uN4Oo7XEfg46L/q4g+ruCbjeDiOhYODXMwFBqPvGwF/EwqzwSEbULWRZxx3iH280gImpqo31hjPbxTFnLBnEsLy/j5Zdfxsc//nEAwGOPPYbf+I3fwNTUFPr7+2vP+/KXv4y3vvWtSCScg07vec978Md//Mf7DuKwbRvFYvHgvwARERERERERERERERERERERERERERERER0rLRvEMTs7i87OTsiy8ysIgoCenh7Mzs6uC+KYnZ1Fb29v7XFfXx9mZmb2/b7VahWXLl3af8OJiIiIiIiIiIiIiIiIiIiIiIiIiIiIiOhYatkgDsAJ3Khn2/aOz9vqObuh6/q+f5aI2oeu63j22WfdbgYRuYj9ABEB7AuIiP0AEbEfICIH+wIiYj9AROwHiAhgX0BE7AeIiP0AEe1eywZx9PT0YG5uDoZhQJZl2LaNubk59PT03Pa86enp2uOZmZl1lTn2Q1XVA/08EbWu1WAu9gNExxf7ASIC2BcQEfsBImI/QEQO9gVExH6AiNgPEBHAvoCI2A8QEfsBInLstmhEywZxxONxnD17Fv/7f/9vvOMd78CXv/xl9PX1ob+/f93zHnvsMbznPe/Bz/3czyEej+PP//zP8fjjj+/rPVc71jvuuOPA7Sei1vTss89CVVX2A0THGPsBIgLYFxAR+wEiYj9ARA72BUTEfoCI2A8QEcC+gIjYDxAR+wEicrzwwgu7ep7Y4HY01K//+q/j05/+NB577DH8t//23/Cbv/mbAIBf+ZVfwVe/+lUAwMDAAD74wQ/iPe95Dx555BHE43G8853vdLPZRERERERERERERERERERERERERERERER0DLVsJQ4AGB0dxac//enb/nw1mGPVu9/9brz73e8+qmY1XLago2qYiAQ0SFJLx+EQ0T5Zlo1UrgxZEhEOaG43h4iOsXSuAsu2EQloEEXB7eYQEVEbKOsGCqUqfB4FXq2lly0OlWlaSOcrnAMQERERtSjDtJDJV6DIEkJ+1e3mENER4J4uUXswLRtp7stSC+Jnl4haRSZfgWFaiAQ9kHjmgIhoR7V+k+sNLY+nIVrMzFIeU/N5AIBXk3F2NM7BC9ExY9s2XrmZRL5YBQB0x30Y7A653CoiOo5uzGSwmCoBAEIBFacGoxAEjkuIiGj/iuUqXr6RhGXZEATg9HAMQR8PuFmWjUsTSRTLBgCgrzOAvo6Ay60iIiIiot0yTQuXbiRRqjjjuYGuIHoSfpdbRUSNNLtUwK35HADu6RK1Msuy8cpEEoWSsy/bk/BjoCvocquIdmZZNi7dWK6tJ/Z2+NHfyc8uETWfW/M5zC4VAAB+bxFnhmNMHklEtI2ZxTymFlbOkHtknB3hekMrYwhOi1lKl2pflypGbbGAiI6PUsWoBXAAwFK67GJriOg4qx+XZPM6dMNysTVERNQOktkyLMsGANg2sJzhWBdwgltWN1wBYClV2ubZRERERNRs8qVqLYADWL+mQkTtiXu6RO1htWLsqkXew6lFFCvG+vVEfnaJqEnV90+FDXNnIiK6Xf2cpFQ2UCxzvaGVMYijxXjUteIpggCoCv8JiY4bVZHWRZ1rquRia4joOKsfl0iSAJkl+oiI6IC82vqCoR6OdQE4c4D6Yleaxr8XIiIiolaibRzPcZxL1Pbqr3Pu6RK1LkVevy/LtSpqFaosbvjsyts8m4jIPfX9kygKHDcTEe3Ac9t6A+corYyj9BYz0hvG5FwWVdNCV8zHiRbRMSRLIk4ORjGzlIcsihjoZtlTInLHiYEIbi3kYFk2+joCLM9HREQHFg97UamayOZ1+L0KumI+t5vUFFRFwsnBKGaXC5AlEUOcAxARERG1FI8mY7w/gvlUEYokYrA75HaTiKjBuKdL1B4Uef2+7CDXZKhFqIqEEwOR2nriYBc/u0TUnMb6w5icz8EwLfTE/VBkHkYmItrOaF8YN+ecfrM75ofGII6WxtWiFqPIIsb6I243g4hcFvKrCPljbjeDiI45jybjxEDU7WYQEVGb6U0E0JtwuxXNJxzQEA5objeDiIiIiPYpGvIgGvK43QwiOiLc0yVqH9yXpVbF9UQiagWqImGc42Yiol1TZPab7aQtgjiy2Sze+9731h6Xy2XcunUL3/72t2GaJn7pl34Jt27dgqqq+LVf+zXcd999LraWiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiOo7YI4giFQvjCF75Qe/yxj30M3/3udxGJRPChD30Id911Fz72sY/h4sWL+IVf+AV85StfgSy3xa9OREREREREREREbezmbBZ/9tevoKKbePsbx3DXyU63m0REREREREREREREREREByC63YBG+Iu/+Au8853vBAB86Utfwj/9p/8UAHDhwgXE43E8++yzbjaPiIiIiIiIiIiIaEcLqSI+9Ad/j29fnMWzryzgV//bd/DMy3NuN4uIiIiIiIiIiIiIiIiIDqDtylE899xzSKfTeNOb3oRUKgXLshCLxWrf7+vrw+zs7L5f37ZtFIvFw2gqERERERERERER0ZY+8cVLyBWrGO0Noyfhx7cuzuC//tn38UcfegQhv+p284iIiIiIiIiIiIiIiIhoH9ouiONzn/scfuzHfgyy7PxqgiCs+75t2wd6/Wq1ikuXLh3oNYiIiIiIiIiIiIi2s5Aq4hs/mAIAfOD/uQtD3SFML+YxMZvFp//mMv7Fj93hcguJiIiIiIiIiIiIiIiIaD/aKoijWCziL//yL/GZz3wGABCNRgEAyWSyVo1jZmYGPT09+34PRVEwPj5+8MYSUUtiEBcRERERERERHYW/ffYWbBu4YyyB8f4IAOD/feIc/uN/+w7+8ls38M43n0A05HG3kURERERERERERERERES0Z20VxPGlL30Jp06dwtjYWO3P3va2t+FTn/oUPvCBD+DixYtYWlrCvffeu+/3EAQBPp/vMJpLREREREREREREtKlvX5wFADx8X3/tz+4+1YnTQ1G8cjOFv/rOBP7JY6fdah4RERERERERERERERER7ZPodgMO02c/+1m8853vXPdnTz75JJ577jk8+uij+NCHPoSnnnoKstxWsStERERERERERETURjL5Cl6dzgAA7j3Tte57/+j1TgKbv/r2BKqGeeRtIyIiIiIiIiIiIiIiIqKDaatohj/7sz+77c8SiQQ+/vGPu9Ca5nRlMoWldAk9CT9GesNuN4eIqOHSuTJeuZmCLAm4MJaAqrbVrY+a3LWpFBaSJXTH/Rjt432XiKgVrRtLnOiEKrdVLgQiAMCliWWkshX0dQQw1BNyuzlEBOCF60sAgKHuIKJBz7rvPXShB/GwB8uZMp5+YQ6vv7vPjSYSEbWka7dSWEhxrYaIaDFVxLVbaXg9Ms6PJiBzvYOoKRTLOl64tgxBFHB+NAGfh/uatD8v31hGOlfBYFcQ/V1Bt5tDRG2uWDbw4qtLsC0bd4zH4fOobjeJiGhTHG9Ts+En8Bi5PJHCdy/NAQBenc5AlkQMcLJGRG1M1w185ZlJVHQnM2k6p+ORBwZdbhUdF9emUnj6hbX7riCAAZRERC1G1w389TOT0DmWoDb28o1lfP+VBQArawWyiL6OgMutIqIfXFkEANx5ouO278mSiIfvG8BnvnoVX3v2FoM4iIh26dpUCk+/yLUaIqJ8UcfffHcSpmk7j0tVvO5OjimJmsFX/uEWckUdADC/XMATK5UYifbi+auLeOGakxzi1ZkM3vrAELpiPpdbRUTt7CvP3ESu4Ny/5paL+LE38v5FRM2J421qNkypcYwsposbHpdcagkR0dHIFvVaAAcAJDNlF1tDx81Sev3njfddIqLWky3qtQAOAEjmOJag9rOYKm77mIjccflmCgBwfiyx6fcfvm8AAPD9ywtIZXl/IiLaDa7VEBE5UrlKLYADAJa5d0LUFMq6UTtQBgCZvA7dsFxsEbWqxVTdONcGljjuJaIG0g2rFsABALmijrJuuNgiIqLNbTbeNjjeJpcxiOMY6U7URdYLQE+ckfZE1N5CAQ982lrRqY6Y18XW0HHTveE+2xP3u9QSIiLar1DAA68m1R53RDiWoPbTk6iruiFseExErqhUTUzO5wAAJwYimz6nvzOIU0NRWJaNrz83dYStIyJqXVyrISJyxMMaVHltvYPZ2Ymag0eVEQlqtcexsAeqzCM9tHc9ibVxriAAXdwjJ6IGUmURsbCn9jgS1OBR5W1+gojIHR5VRjig1h7Hwh7IHG+Ty3jHPEbG+6OQJRGLqRJ6OwI8mEFEbU+VRTz64BCu3EpDkQScGY673SQ6RoZ7wpBEEXPLBXTH/RjoCrrdJCIi2iNVFvHYg8POWEIWcWYo5naTiA7dycEoFFnEUrqE/s4AD+8QNYGbs1lYlo1wQEW8bgN0o4fvG8Dlmyl89bu38PY3jh9hC4mIWtNwTxgCBCykilyrIaJjzedR8eiDg7g2lYbPo+D0UNTtJhHRikceGMSlG0kIAnB2mGuRtD/nRuPQVBGpbAWD3SEkIlzvI6LGeuS+Abw8kYRtA2dGeP8ioub11tcMcbxNTYVBHMfMcE8Ywz1ht5tBRHRkAj4V95zqdLsZdEwNdAV5IICIqMVxLEHHwUhvGCO9XCsgahbXp9IAgLG+CARB2PJ5r7+rD//98y9iYjaLV6czGO3jdUxEtJOhnhCGekJuN4OIyHWRoAf3nel2uxlEtIFHlXE31yLpEIz3M0CPiI6Oqsq46yTvX0TU/DjepmbDWjBERERERERERERETeL6dAYAMNa/fVBG0KfigXNdAIC/ffZWw9tFRERERERERERERERERIeDlTgIAFCqGJheyAMC0N8RgEfjR4OI3FU1LEwt5FA1LHTH/Qj5VbebREQNls5VsJAqQlMk9HcGIEmMNyaivVtKl5DMluHVZPR1BCCKW2cwJ6LWli3omFsuQJFF9HcGocgcO1B7mJjNAgBGdlFN9+F7B/Dti7P4u+9P4Sd/5CzH0ER07C1nSljOcD5ARK2napiYWsjDMC30xP0I+LgnQrQf88kiMvkKAl4FPQn/ttUNiY6TTL6C+WQR6soenMz1AyLaIF/UMbtcgCyJ6O8MQJElt5tERHToeE6amg0/gQTbtvHKRBJVwwIAFEpV3Hmiw+VWEdFxd2Mmg3SuAsA5nHVhPAFV4SSRqF2VKwau3krBtp3HhmlhrD/iapuIqPVkCzpeXclevjqOGOgKutkkImqQqmHiymQKlmWvPLZwcjDqcquIDs62bWcDAUB/V2DH599zugshv4p0roIfXF3Evae7Gt1EIqKmlS/quD61Nh+wbRuD3SGXW0VEtDvXpzLIFnQAzvrGnSc6eMCWaI+S2TJurgTFp3MViKKA7rjf5VYRua+sG7gyWbcHZ1gYH4i42iYiai6GaeHyZAqm6XQU5YqJMyMxl1tFRHS4eE6amhFXfgimZdc6JgCo6GbtEAQRkVtKZaP2tWXZ0Kumi60hokYr62Zt8Rhwot+JiPaqvKHvYF9C1L42rl3Uzx+IWlm2oCNfqgIAehI7HzZSZBFvuLsPAPC1791qaNuIiJpdkfMBImph9X2YaXJPhGg/Nt77ORYgclS4B0dEO9CrZi2AA2A/QUTtieekqRkxiIMgSyJCgbWSvJGgxhLjROS6WNhT+9qjSfB6FBdbQ0SNFvApUJW1oWk87HWxNUTUqkIBFZK0NpeJ140niKi9eD0KvHUljmO83qlNTC86VTg6ol541N0VUX74vgEAwNMvzKJYrjasbUREzS4c0NZlrefaAhG1knhobU7j88i7HgsS0Zpo/TkHAYiFuFZABAABrwJNlWqPuW5ORBt5VBk+z9r4k/0EEbUjnpOmZsTVHwIAnByIIpktQ+BiBhE1iYGuIAI+BVXDQizkgcRBE1FbkyUR50bjSOUq0BQJ4YDmdpOIqAV5VBnnRuPIFnR4NRlBn7rzDxFRS5JEAWdGYkhmy1BkEdEg1zKoPUwvOEEcfR2BXf/MeH8EA10B3JrP41vPz+CtrxlqVPOIiJqapkg4NxZHJl/hfICIWs5QTwghvwrDtBEL8SAJ0X74PArOjcaRK+rwexT4vUwQRwQAkiTi7EgcqVwZqiwhEuQeHBGtJ4oCzgzHkMxWIEsCojw7SERtiuekqdkwiIMAOIOxRIRZqYioufAgFtHxosgSOqM+t5tBRC3OozJbJdFxIUsixw7UdlYrcfTvIYhDEAS8+d4BfOIvL+Fvn51iEAcRHWuawrUFImpdPCxHdHBeTV5XuZOIHIrMdTQi2p4kieiI8uwgEbU3npOmZiPu/BQiIiIiIiIiIiIiarTVII7ePQRxAMCb7hmAIAAvXF/CQrLYiKYRERERERERERERERER0SFhEAcRERERERERERFRE1gN4ujr3FsQR0fUizvGEgCArzwzeejtIiIiIiIiIiIiIiIiIqLDwyAOIiIiIiIiIiIiIpdZlo25ZaeKRt8eK3EAwNseHAYAfPnpCVQN6zCbRkRERERERERERERERESHiEEcRERERERERERERC5L5yuoGhZEUUAi7Nnzzz94Rw9iIQ2pXAXfeWGmAS0kIiIiIiIiIiIiIiIiosPAIA4iIiIiIiIiIiIily0knSoc8bAHkrT3ZVtFFvHYSjWOL37rxmE2jYiIiIiIiIiIiIiIiIgOEYM4iIiIiIiIiIiIiFy2kHKCODqjvn2/xmMPDkESBbx8I4krk6nDahoRERERERERERERERERHSIGcRARERERERERERG5bCFVAgB0RL37fo142Is33N0HAPjMV68cSruIiIiIiIiIiIiIiIiI6HAxiIOIiIiIiIiIiIjIZauVOLoOUIkDAN71lpMQBODpF+dwczZ7GE0jIiIiIiIiIiIiIiIiokPEIA4iIiIiIiIiIiIily0knSCOjgMGcQx0BfHaO3oBAP/rb1iNg4iIiIiIiIiIiIiIiKjZMIiDiIiIiIiIiIiIyGULqRIAoDPqPfBrvfuRkwCAb/xgGtdupQ/8ekRERERERERERERERER0eBjEQUREREREREREROQi27axmHIqcXTGDlaJAwBG+8J40z39AICP/Z8XYdv2gV+TiIiIiIiIiIiIiIiIiA4HgziIiIiIiIiIiIiIXJQrVlHWTQBAR+TglTgA4L2Pn4Eqi3jx+jKefnH2UF6TiIiIiIiIiIiIiIiIiA6OQRxERERERERERERELlqtwhEJaFAV6VBeszPqw9vfNA4A+KP/3wsolquH8rpEREREREREREREREREdDAM4iAiIiIiIiIiIiJyUTJbBgDEI55Dfd13veUEeuJ+LGfK+JP/+/KhvjYRERERERERERERERER7U/bBHHouo7/9J/+Ex599FH8yI/8CJ588kkAwPLyMt7//vfj0UcfxY/+6I/ie9/7nsstJSIiIiIiIiIiIlqznHGCOGKhww3i8Kgyfv7ddwIA/uo7E3jh2tKhvj4RERERERERERERERER7Z3sdgMOy0c+8hGIoogvf/nLEAQBCwsLtT+/66678LGPfQwXL17EL/zCL+ArX/kKZLltfnUiIiIiIiIiIiJqYbVKHGHvob/2hfEOPPbgEL789E38lz97Fr/3b96EcEA79PchIiIiIiIiIiIiIiIiot1pi0iGYrGIv/iLv8DXv/51CIIAAOjs7AQAfOlLX8JXv/pVAMCFCxcQj8fx7LPP4jWvec2+3su2bRSLxcNpOBERERERERERER17q0Ech12JY9X7/9F5vHh9CdOLBfzep5/Df/h/X1NbRyUiIiIiIiIiIiIiIiKio9UWQRyTk5OIRCL4wz/8Q3z729+Gx+PBBz7wAZw+fRqWZSEWi9We29fXh9nZ2X2/V7VaxaVLlw6j2URERERERERERERYzjQ2iMOryfil996PJ3//G/juy/P4wjeu4+1vHG/IexERERERERERERERERHR9toiiMMwDNy6dQvj4+N48skn8corr+Anf/In8X//7/+9LaOcbdsHei9FUTA+zg1OouOKQVxEREREREREdNiSK0Ec8XBjgjgAYLQvjH/+Y+fxh5+7iD/5vy/j9FAMp4djO/8gERERERERERERERERER2qtgji6O3thSiKeOKJJwAAp0+fRn9/P65fvw4ASCaTtWocMzMz6Onp2fd7CYIAn8938EYTERERERERERERAUhmG1uJY9UPPzSMi9eW8K3nZ/Bbn/gufvffvAnhgNbQ9yQiIiIiIiIiIiIiIiKi9US3G3AYYrEYHnroIfz93/89AGB6ehpTU1MYGRnB2972NnzqU58CAFy8eBFLS0u499573WwuEREREREREREREQDAMC2k8xUAja3EATgJaj747rvQ1+HHUqaM//KpZ2FaB6tcTERERERERERERERERER70xZBHADw67/+6/jjP/5jPPHEE/jZn/1Z/MZv/AY6Ozvx5JNP4rnnnsOjjz6KD33oQ3jqqacgy21RgISIiIiIiIiIiIhaXCrrBHDIkoCgT234+/k8Cj70Ew9AVSQ8d2UR/+srlxv+nkRERERERERERERERES0pm2iGQYGBvDJT37ytj9PJBL4+Mc/7kKLiIiIiIiIiIiIiLaXzJYAANGQB6IoHMl7DvWE8HPvvBP/9c+/jz//ymWcGo7hnlOdR/LeRERERERERERERERERMdd21TiICIiIiIiIiIiImo1y5kyACAW8hzp+z583wAee3AItg185E+fxWKqdKTvT0RERERERERERERERHRcMYiDiIiIiIiIiIiIyCXJrBPEEQ8fbRAHAPzU2+/AWH8YuaKOpz75XVQN68jbQERERERERERERERERHTcuBrEcf36dfybf/Nv8LrXvQ7nz5/HSy+9BAD46Ec/iqefftrNpjUtw7RwYyaDK5MpZPIVt5tDRPtQrhi4diuNq7dSKJarbjeHiOg29eONVK7sdnOI2ppl2bg1n8Plm0kspIpuN4eIXJLJV3BlMoUbMxkYJg9QEx03q0EcR12JAwBURcIvv+9++L0KXrmZwqf/5vKRt4GIqNmUdWf99sok12+J9mJuuYDLN5OYWsjBtm23m0NEdGCFUhVXJlO4NpVGpWq63Rw6pvSqietTztg0X+LYlIgaJ1fUcWUyhetTaei87xFRmyqWq7h6K4Vrt9IoVwy3m0PkXhDHpUuX8M53vhPPPPMMHnjgAZjm2s2/UCjgf/7P/+lW05raq9MZLKZKSOecAx5cLCBqPZcnU0hmy0hlK7h8M8XNDCJqOhOz2dp4gxMXosaaWcpjdqmATF7HxEyWgdpEx1BZN3BlMoV0roLFVAk3ZjJuN4mIjthyxr0gDgDojvvx8++6EwDwua9dxeRc1pV2EBE1iysr67fpXAWv3EzBsrh+S7STVLaMybkcMnkdM4sFzC0zUQURtTbTsnH5prNek8yUcWUy5XaT6Ji6eiuN5YwzNr18MwmTCWCIqAEM06rd95YzZVyf4j4FEbUf23bG+KlsBclsGZdvcoxP7nMtiOMjH/kITp06ha985St46qmn1h1ivnDhAl544QW3mtbUyvraIUrbBio6gziIWoll2euu26phwTC5CUhEzaVU2TDeYNAoUcOUK+uvrxKDpoiOnYpuoj6ue2O/QETtL70SxBkNaq614Ycu9OKBs90wTBsf/czzPLBMRMeWbdso163fGoYF0+JBOaKdbFzPqN/PJCJqRYZprauWymRX5Jb6e6pp2tANjk2J6PDpVXPdeiD3K4moHZmWjWrdWKqyoe8jcoNrQRzf//738c//+T+H1+uFIAjrvpdIJLC0tORSy5pbPOytfa2pEvwe2cXWENFeiaKwLrNmKKBCkV3riomINpWoH28oEvxexcXWELW3eNgDrEyHJElAJODe4U0ickfAq0BTpdrjeNidTPxE5J7sShBHyMVxgCAI+Ol3XIBXk3BpIom/f37atbYQEblJEDas3/pVKLK0zU8QEQBEghpEcWWBQ3CvwhgR0WFRZRFBn1p7XH9Og+go1X/2/F4FHpVjUyI6fB5Vhq/uDGI8wvE8EbUfWRIRDqyN8aOhurUMIpe4GgGgKJsfCMxkMlBVddPvHXd9HQEEvAr0qoVoSIMk8fA3UasZ6w8jmnUOZkSDnPgQUfPpSfjh88jQqxYiQQ0yxxtEDRMNeXB2JI5iuYqQX4VHZZA20XEjSSLOjcaRylagKiLCDOYiOnYyBR0AEPa7ux7aEfXiHW8+gU996RX86V+9gofu6GXiCSI6lsb6woiFPLBtm+u3RLvk8yg4PxpHtqjD71GYFIaIWp4gCDg1FEUyW4YoCq5WTqTjbbgnhLBfhWnZiIY8tyXJJSI6DKIo4MxwDKlcBZIoIMqgbCJqUycGokjlygCYgIKag2snhE6dOoW/+Zu/wRvf+MbbvvfNb34T586dc6FVrYEHOohamyAIzNZCRE2P4w2ioxPwKgjwcAPRsSZLIjqinCMQHVeZ/EoQRxOMwX/sDWP44rduYHa5gL/+h5v4kR8acbtJRERHbmM1DiLaHY8mw6MxOQURtQ9RFJCIcL2G3MfD1ER0FCRJ5H2PiNqeKPLcJjUX11Kpve9978NnP/tZfPjDH8Yrr7wCAJidncXHPvYxfO5zn8P73vc+t5pGRERERERERERE1HDligG9agIAQi5X4gAArybj/3nkJADgL/72KkzTcrlFRERERERERERERERERO3HtXQojz/+OCYnJ/HRj34Un/zkJwEAH/jAByBJEj74wQ/i4YcfdqtpRLe5NpXCS68m4VElPHi+pykyIxK1grnlAp69NA8AuOd0J3oSAZdbRETt4Lsvz2FmsYBIUMVDF/qgyq7FJRMRUZvKF3U8/eIsCmUDJwYiODsSd7tJx062qOM7F2dQ1k2cGY7h5GDU7SYRNUSm4FThUGQR3ibJXP3W1wzhz//6MhZSJXz74ixef3ef200iomOgWNbx7YtzKJSrGO+P4Nwox19ERNRceK9qDlcmU7g04ezbP3ShFyGf+8HwRLS9F64v4dXpDPweBa+90A2fh9ct0WGZms/hB1cXIYoC7j/ThY6oz+0mERFRg2XyFTz94izKuolzIzGMD3APtZW5ujP40z/903j729+Ob37zm1heXkY0GsXrXvc69PVxY5CaR7ao4+kX5wAbyBWAb12cweOvHXG7WURNz7IsfOP709ANJ6Po15+bxrvfcgKiyMPWRLR/16ZSuHwzBQDIFXV4ryzggbPdLreKiIjazdMvzmFuuQgA+P4rC+iMepGIcPPjKH3n4gwWUyUAwDMvz6Ez6kUk6HG5VUSHL5OvAADCfhWCILjcGoemSPjRHxrBn/31ZfzF313F6+7qbZq2EVH7+ocX5zG3XAAAPHd5AYmIF10xjr+IiKh5OGsFa/eqzqiXByWPWDpXxjMvr+3bf/v5GbztoWG3m0VE25hPFvH8lUUAQK6g4x9emseb7x1wuVVE7UE3LHzz+WmYpg0A+MZzU/jHD590uVVERNRo3744i+WMs4f69Etz6Ij6mJS+hbme3q27uxvvete73G4G0ZZKZQOw1x6Xy4Z7jSFqIZaFWgAHABiGBcOwoKoM4iCi/SttuA+XylWXWkJERO2srK+/3xRKBhIRd9pyXJUqdf8GtvM4EnSvPUSNkl2pxBFqsgX2x39oBJ/92lVcm8rg8mQKp4dibjeJiNpcacP4q8j5PhERNZmNa9OFchUdLrXluCpVNuzb69y3J2p2G8f169b8iOhADMOoBXAAQFk3t3k2ERG1i3XrqCt7qAziaF1HepJ2ZmZmT/8RNYOOiAfxsLf2+MSQu+WH9KqJxVQJ+aLuajuoeZV1AwupIvIldzc6ZVnEaF+49ni4JwRVdT12kIha3EhvGJoqAQAkScDJwaO7L6eyZSylSzAte+cnEzUx27axnClhOVOCxc8z0aZODkaBlaTz4YCKno6Auw3ao2K5ioVUsaUPP9bf42NhDzpYCYXaVH0ljmYSDmj4oTt7AQBf+YdJl1tDRK0ok69gMVVC1bB29fyTg5Ha+CvoV9GX8DeucUREdCB77ePbxamh6Lp7VW8HMw0ctY6ID7HwWpXOw94fsG0byWyZ66ZEhyjglSGKgrO3JqyM+4noUPg8Kvo61/Yuxvsj7jXGRdmCvjI2ZRALER0PpzbsoSbqzja3knzJ2c8+7sH5R3qa9uGHH4YgCLt+/qVLlxrYGqLdEUURb31gEHPLBXg0CQkXD47oVRMvXl+GYTqLoqN9YSQirdkJU2OUKwZeurHsRNsLziQtFvLs/IMN8toLvRjtC8O2bfQkWuvgGxE1p4BPxROvH8ViqoRwUEPIdzSH3W7OZjGfLAIA/MkizgzHIIq7H9cSNZPrUxkks2UAQChQYmZtok2cHIyiI+JFoVRFZ9wPVW6danL5oo5LE0nYNiAIwJnhGAJHdL88TGdH4uiK+VAqG+iO+yG30L8B0V5k8k6SjmbMkvTW1wzhb5+dwjd/MIV//mPn4dWYmIGIdmd2qYBb8zkAgKZIODcWhyxtfy8f748iEfYiV6yiq8XGX0REx8nMUh5T83kAgKZKOD8ah7RDH98uxgeiiIdbc62gXciyiEcfGMLccgFej7wuEeNheHU6g+XMyrqpv4TTw1w3JTqIueUCJudyGO4OoViu4q7THUiEmaiF6DC9+d4BzC7lIYoiumLH7/paSBYxMZsFACiyiPNjcSiy5HKriIga69xoHF0xL8oVs2X3UFPZMq5OpQHbSeB7biQOzzHdgzrS3/rDH/5wLYjDMAz84R/+ITweDx5//HEkEgksLi7iL//yL1Eul/GzP/uzR9k0om3Jsoj+LvezqWTyei2AAwCWMyUGcdA66XxlrVyi7XxG3AziAIDuOLPmEdHh8qgyBo74vry6cQMAhVIVZd2Az6McaRuIDoNl2bUADgDI5nVUDQtKC07siRotGvIg6vJYej+S2TLs1SmB7TxuxSAOAM5hjPDOzyNqZdmCU4kjFGi+6/T8aBw9CT9mlwr41vPTeOSBIbebREQtYilTqn1dqZoolKq7ClaLBD2IBFtv/EVEdJzUr5NWdBP5Xfbx7aJV1wraSSP37Zfr100LOvSqCVXhQVCi/Vq9Z8iyiFBAgyRyH4KoEY5zQtX6sWnVsJAt6Ice5ElE1IzcTER/GJazZWBlP9s0baTzFXQziKPx3vGOd9S+/p3f+R2MjY3hj/7ojyDWDdR/7ud+Dj/1Uz+FmzdvHmXTiFqCR1u/SMQMiLTRxs8EPyNERIfDo0nIF51ASlEUuHFDLUsUBWiqhIrulBRWZBGyxKoyRO1kY5aS45q1hKhV1Cpx+Jvv4JsgCHjk/kF88q8u4evfZxAHEe2eV5NRKhsAnMpgGufQRERtw6tu6ONV9vHUPryqjFLF+XzLsrhjJTEi2p5HlVAoVZ0HgpOkjYjoMHk0CbniygOBZ6SIiFoFz7iuce03//znP49f//VfXxfAAQCiKOKf/JN/gl/91V/Fk08+6VLrqBmksuVaybPh3hCizMCFoE/FaF8Yy5kSPJqM/k73q4PQ4cgWdNyYzsC0bQx0BtER3V9keDigYbg3hFS2DJ9HQe8xjrgnovaSL+q4Pp2Badro6wwceTnY8f4Ibs3nYFo2ehJ+bt5Qw0wt5DCfLEJVJJzojzTk8PWpwSimFvKwYaOvI1CrlkhEzcm2bbw6nUE6X4Hfo2CsP7Jt9ZzOqA+GaSFX0BH0q+iMtnYmFqJ2l1mpxBFuwkocAPD6u/rwyb+6hIvXFpHJV45VlmUi2hvbtjExm0UyW4aqSIgEnf6iI+plUCkRNb1MvoIbMxlYNjDYFUQiwuy9WxnuDUGSBFQNC51RHw/kUls5MRjB1Hwelm2jvzMAUTz6dVOekaB2MtwTgiSJqOgGOqO+PR/OM00L16bSTtUnv4bRvrAr1yURNa/B7hBEQUBZN5CIeOHzKNs+/8ZMBslsGV5Nxnh/hIkbiYhckgh7cfVWGplcGX0dQYT8zblHdhRcW1VJp9Mol8ubfq9cLiObzR5xi6iZWJaN69MZWJZTM+f6VAb3ntZ4wAxAIuLl4nEbuj6VRtVwMrzfmM0gEtS2PZi1nc6ojwe1iKjtvDqTqVUOuDmXRSSoHWkmT1WRMNYfObL3o+MpX9Qxs1gAAJRMAxNzWZweih36+3g0GeMDkUN/XSJqjMV0qVYSPFvQMbOUx1B3aNuf6U0EgMRRtI6IDiq7Uokj1ISVOACgJ+HHWH8Y16cy+M4Ls3jbQ8NuN4mImlQyW8ZiqgTAmc8EvApGesMut4qIaHdenc6s7dHMOHs0TOKyOVkS2b9T2/Ko7q6b8owEtRtJEjHcs/065nZmlgq1CqbJbBkBn4LuuP+wmkdEbUASBQztsp+pX7fIF6uYWshjtI/jWiIiN8wuF+DTZPi0ACzbxnKmfGzPRLu2+nT27Fn8wR/8AZLJ5Lo/TyaT+IM/+AOcOXPGpZZRM7CB2uIEAFi2Ddve+vlErc6q/4DbTuY6IiJaY5rr+0nTtNxrDFGDmNb6+/+6zz0RHVsW+waittbslTgA4Icu9AIAvvX8jMstIaJmtnGMsnF+Q0TUzOr7LNu+fR5GRHQUeEaCaL2N92Pen4noIG5ft+B5AyIit2w883Wc15Jdq8Txy7/8y/hn/+yf4S1veQsefPBBdHR0YHFxEU8//TQA4H/8j//hVtNoB3rVxFK6BEkS0RHxNqRcoSQK6OsMYHohDwDo71hfrjRb0JEr6gh4FYQD22cqTOXKKJYNhP0qAr7m3RCn462/M4ibc1nABrpiPpQqBhbTJYT8KoLH8HObyVeQL1UR9KnwqFLD+xyi4ySVLaNYMeDTZJQqBiRJRGfU2xSZnMoVA8vZMlRZQkd0fYT1QFcQr85kABu7KoVK1IpCfhWhgIpsXocoCujvDKz7fv39sVHlJLe7Dg9bqWIgmS1DU6Rjm1WBaDdEUUChVIUkCQj4VHTHm7vq3nKmhLJuIhrUYNlO3+XzyIgGPW43jagprWaU3Gl9y02vu7MPn/jLS7h4bRHZgn6sy1oT0Xq2bWMhVYJpWogGNfg8MoplA7Ikojex/wy5VcPEYqq51wNX506czxC1h4Guuj2auA/qIVcArhoWFtNFiIKAzqhv037NMC0spJzndER9kHbZ99XPwbhmSu2o/trY6vrZL9u2sZgqwTAtxCPeI63+vRlJFNAV9+LSjRQA4NxorCnHQdR89nsPaXZdMR+S2TLKuoFSxYBp2ajoBpYz5aaeKxA1k72crzvKuXgyW0apYiAS0OD3Hs0YNhbSsJBSavstPYnAzj9ERG2nrBu4fNMZb58ZiUOVW68Kp23bWEyXYBjNMY/Zj56EH5m8DsO04PXIiIeP7z6ya0Ecd911Fz772c/iox/9KJ555hmk02lEIhG8+c1vxs/8zM/gxIkTbjWNtmFaNi7dSKJSNQEA+aKOsf5IQ96rryNQ2/yo72gy+QouT6acVBQATgxGtjwMspQu4dXpDABgRgDOjsSPbPBHtBddMd/KIScbpfLaYGFaAM4Mx45VIEc6V8GVSef3tywbpm1DWSlb3sg+h+g4WEyVcGMmA9OycGsuh56EH5oqo1Cqul4qtGqYePlGEsZKtHVZNzDQFax9PxHxIhxQYZo2PJprQ1iihhIEAacGo6joJmRZhCytLRjU3x8B4NRQ9NAPe268DkuVKga791/qfDt61cTLN5ZrWW/KuoH+zuAOP0V0/Mwni7g5m4XXI8O0bJzsjzT1oZyZpTym5p1kDDdmMhAFQJac+fxoX5gHHIk2qBomShUDABBu4sCInoQfwz0hTMxm8dzlBbzxnn63m0RETeLGTBZL6RIAZ83h7GgchmlBlUVI0v42QC3Lxss3kqjozh5ErqhjvMnWA/WqiZfq5jOlyvo1DCJqPfV7NB71cNceLcvGKxPJ2rgvW9BxcjC67jm27TynWHaek85XcHootuNrzy4VcGs+V/v6/Gica6fUVmzbxqWJJErlra+fg5iYzWIx5Yxl5pNF3DGeWLcm64Z80ajtC+eKVVfbQq1h43WSyVdwahf3kFbg0WTcMZ7AD64uQhQETC/kcfHaIjoiTpKbZpwrEDWTjefrTg5GEQluvrdoHuFcfCFZxMRsFgAws5jHudH4kex7SJKIM8MxVKrmgdYtiKi1/c0zk0jnnArpM4sF/PBrh91t0D7cnMthIVkE0DzzmL3yeRTceSIB3bCgKdKxDsx1dRVnbGwM//W//lc3m0B7VNGNWgAHsJYtsFE2ixLLFvTaABMAsnl9yyCOTL5S+9q2nZ9lEAc1q9XMTrNLhbU/XMlce5yCODKFteu2apjIFnR0RH0r32tsn0PU7lbvi1XDgm5YKJYNaKqMdN390i2FklE7OA44bd14AEKRJSjcg6Q2JwjCppvt9fdHwLlGDjuIo1jecB028L5bKFXXlS3O5HX0dzbs7Yha1uq9WxQEiJKAYsVAoIkPemfr1gjyxSpkSUTI78xz0vkKgziINlhdV5NEoenXq+493YmJ2Sy+d2meQRxEVFO//l6pmtCr5oH7s7Ju1A6NbHyPZrFxPpPlmiVRWzjs6hur9LrAXWDzfs0wrVoAB+D0K7Zt71g9uX69yLJs5EtVBnFQW9ENq3YwHTj8cUH9OkbVsFCqGK7uyRqmhUKpCkVeTW5XhWnZbVNVgRqjuvE6abOxqWnZsEznnqgbJlK5Si2II9vg80pErW7j+bpMobJlEEdlw1y8kddXesNZvlyxemTJq0RRgJfjZaJjq6wbtQAOwKlsaRgW5BarxpHJ1Z+tdH8es1+SJMLbYsEnjcC/gWNI142dn7QFWRQgS2uLBAHf0W8wB1Y2gSzL3rENgQ2dU7NviBMBQMCrbvu4FZh1B0D3qv4aF0XAWzdZC/AapiZ3kHvsUVi9ZyqyCEkUaxt6fo98oOv2oGzbhqqI6yKrN97DiY4ry7JhWvZt98BGXCNeTV53HXq1zQ8vWJYTCHaY7+XGvIKoFay7NgTA51Vq/cJO3BiXrM65ney1EjR1rR/hWJ7odqsHkEJ+dccDem6770wXAODZVxZ21QcRUfszTWvderssidBUCYZxsPmCpki1g4tAc44hvJ4N8xmv4uq6ClE7OIprSNcNWNbRX6uqLEFV6vu129d0VvvQVX6PsqvxYcCrwLZtWJYNQQB8Hh5Io/aiSOK6pI9eTa6dEai33+vbX7fuIknCrirxmJYN227MnEiWRHjq1mS9HpkBHLTOZut98obrxN/EVXy3st16Z30/oEjiuvnB6tqpbdscjxNt4rbzddvMrzVFgiyLqJoWTNNq6L7dxn0PnuVrLuxPqZ15VBkBnwLLsmBZFoJ+teUCOABnHrO6FrDbeQw1ryP91/voRz+Kd73rXejq6sJHP/rRbZ8rCAJ+7ud+7ohadjzkizq++t1byBV1RIMa3vrAINRdXsC2bePaVBqpbAWWbSMSUOH3quhN+Bvc6tsF/SoM08JSpoRYyIOQf+sMxF0xHwQAhXIVkaCGUBNnLCVa1RF1stPmSzrCAW3LSPhmZFk2rt5KIZPXoSoiTg/F9pz1KeTXUDVMXJ9OY26piETEi0TEi7tPdbrS5xDthq4b+Jvv3UIyU0bAp+CR+webMgihO+6HIAgolqsY7gmjUjVRrToVb559ZQHRkIbx/siRHiArlqu4fDOFqmHBo8kIeGV4VBndcV7vRKlcGdenMrAsG70dfoz1h5Et6Aj5VcRCm1eiOwhVkXB6OIaZxTymF/KwbBsVfRmnh6K1ksLTi3l88wfTMAwLY31hPHShd1/v5dFknBqKYildgqZK6I7xmifaTG8iAFEQUKoYiIU8qOgGLt1Yhg1gsCu46f2yrBv4yj/cRCavIxxQ8Zb7h47sIE9/ZwCFchXXb6Xh9yqIhTT4PAr8HgWdMd+RtIGolaxmxzzs6lqNcHo4Br9HRq6o4+qtFE4PxdxuEhG5xDAtXL6ZQqFUhaqISES8EEUBXTEfJmYy+IeX5mADuGMsgTtPdOz59SVJxJnhGOaSRUii0JTrgR5VxumhKBbTJcAGljNlzCeLCAdUnBiIrgvwIKLtVQ0Lr9xMolQ24PcqODUUhdyALIx//4NpTMxmocoS3nBP35GuPYqigNPDMcwvFyGKAno26dcEwXnO3FIBggD0JAK7eu1o0IMrkynkS1X0dwaZVZjajigKOD3iXBvzyQJyRR3fv7yAsf4wokEPLMvC1743hbnlAjRVwsP3DSAe3n0V0JHeMDyqBMO00Rn1rgsk3czEbBYLySIkScCJgWhDzh6cHophdrkAAE05DiJ36IaFv3nmJpKZMnxeBY88MIjQyj5k/XWyl3tIs0hmy7g+lYZtO2uLvR3r2y+KAk4NR2v30fPjcSyly7W5Qv0+YyzkwVh/uOkTZRAdlb2cr5MkEaVyFc9dWYQsCXjrawYb1q6N+x7NmLzhODJNC5cnU8gXq/BoEk4PxRpWrZDITQGvjG+/MAMBwOOvHXG7OfsSD3twfSoN3bBwYiCy4zyGmtuRB3G84Q1vYBCHS158dRm5orM5nMpVcOlmatebKOlcBamskx1QFASIooiBrmDD2rqdhWQRsiTWDnrNLRe2bQsPilAr6oh6a8EcrSSZLSOzUlZRr1qYWsxjvD+yp9eYWy5AkSWkczpsABXdOWDu1aTaAVKiZnN5MoVkpgzAKW/9wrWlfR9sbrSuDffFK5OpWnabVLaCdK6CaAMOh2/l1nwO1ZUMneWKgYGuAKLBo3t/omZ2czZby44zs1jAhROJPW1C7kfAq0BTpVrWm0KpivlUEb0rGz/fuzQPY+WavT6dwfhABB3R/Y23gz61Jct6Eh21+sNF37s0j9Vkj5NzOSQi3tsOOL14fak2Js/kdbx8Ywn3nek+krYKgoByxaj1C4WSgbG+yJ4Du4mOi2xdJY5mJ0si7jrViW89P4PvvTzPIA6iY2whVUShVAXgrP/JkoDB7hAA4Lt1Y5UXri3hxEB0X8GkHk3GcE/o0NrcCAGfioBPxbWpNIyVLJWZvI5UrtzweRtRO5lbLqBUdrKKF0pVLCSLtx3ePKjZpTwmZrMAAN0w8eylefzI60YP9T124lFlDO3Qr2mKtONzNppezCPgVRHwqjAMC6lcpSGJP4jcpCkSumI+zK8EeFqWjZuzWUSDHkzM5jC3EvBQ0U08d3kRjzyw+0Onkiigv3N3Zx7yK30UAJimjZtzWdwxltj7L7QDVZEw1N3c4yA6epdvJmv7kMVSFS9eW8Jr6/Yh93MPaRYTM9naHGJqIY9ExHvboeGN99H6qla3ptK1fcZktox43sN9RqIV83s4X5fOlXFjJovISrKZH1xexFhftGFtY0LH5rOYLiFfdNZ7yhUTs0uFlr23EG2lpJv4/uVFxEPO2t0zL83hdXf2QpJaK2BpaiFfG+9k8zoKpSqrGrWwI91Ff+WVVzb9+jA8/PDDUFUVmuYMJv7lv/yXePzxx7G8vIxf+qVfwq1bt6CqKn7t134N991336G+d6tiMigiIiIiItqJAE4ciJpSq1yardJOIhe0UiUOALj/TBe+9fwMnn1lHv+fHz7jdnOIqNkJgMh8LETUhARukBK1vGZYr3S/BUTtiUU0iNyxsYJNM9xriYhodzh+am1ttYT++7//+/jCF76AL3zhC3j88ccBAB/5yEdw11134a//+q/x4Q9/GP/23/5bGIbhckvdcWE8DgBI5crQFBGnBncfMRsJaoiGnA1lRRbR3xlA1TBxcy6Lm7NZVKpmQ9q8mc6YrxY55vXIjM4laiKxkAeRoNNXaIqE/m0yZuWLOm7MZDCzmK9lGQeciHufR8ZYXxiWZaNqWhjsDiARYVUdal6nhuPwaBJSOScLzh3jh599aTOGaWFyLouJ2SzKlf2Nb/o7A7XSetGQVruGj8pAV7D2/rGwp5bdg4iAoZ4QRFFAWTdgw8ZSulSrnNNIvQk/vCvZcgM+BZ111cHuO9MFeeWa3UsVjky+ghszGcwuFWDbjf8diNrVSG/IWYgTgMGu4G1VOADg/Fiidj8PB1R0RLy4MZOpjVPKFQMTs1lMzmVrWaMP03BPGOLKoajeDj88KqtwEG0ls1KJI9wClTgA4K6TTkXfV6czyK9U+yWi9raQKuLGTAbLmVLtz7qi69fnexJr6/P3n+2qjVXuHE80fBxg2zZmlwq4MZOp9alHrb8jAG0lU3AkqDHrL9EedcfX1iD8XgWdscPbB7AsG9OLeZR1s1adWJUl3HOq89De4yhtNpfr7wxAVdbWdqNHvLZLdFQ8mozeDmfMIYpCLSv0cE+w9udeTcLdpzq2fR3btjGzlMeNmQyyhb3NaQJepdaXSHWVyFrJar94Y4ZzulZzaihWq/YW8Cm4cET7kJvZbI6wk9wW5wIAZ71TFAVAAPq7AlDkvWXC5j4j0da66s7X+TY5X1d/1kBTJJweds4RSpKAe890HXl7m12+VMWNmQymFnJHsl971DoiXgR8K+s92vr1HqJ24VUlvOZcN4rlKkqVKh66o6/lqnAAwEBnEKlcGfPJIkIBFT4Pq3C0Mtd20r/zne/goYce2vL7n/jEJ/C+973vwO/zpS99CV/96lcBABcuXEA8Hsezzz6L17zmNft6Pdu2USwWD9wuNyylSxjq8qEv7oEsi1hO5xEO7H6TuC+uoSeqOhMoq4qLV1IorpQ4nl/O4txI9LbI3EYZ6fbCsjwQRQFVvYwq1xiImoIoCjg5GIVp2ZC2yWZV1g28cjNVW6TRDQvDKwuuiizi/FgCiiIhHnY2PRVFQtWwagswRM2mVK5isCuE3ngAsiyiWDYQ8DX+INa1W+naRkMqW8aFEx3bXnub8XkU3H2qc8frtlHcfn+iZhYNenBhXMbFq8uwbBsziwWUdRPj/ZGGvq8iS7hjLLHpddnXEcC733IChgWou7wvF8tVXJlM1UqiG6a1ZblmItpePOxFLOSBbaMWKLGRR5Xxo68bhW5YWE6XcGs+B8AphX1qMIpXpzOoGs6Bn2LFwOmh2KG2MRLUcO/pzm3bSESO1bF8qEUOGMTDXvR1BDC9mMeLry7jwfM9bjeJiBpoMVXCxEy29rUkiogENUiSiHOj8U3nC+P9UYz2hmFZqAV/N9LUQh6zSwUAzv7HudH4kW9aejQZd57s4LoG0T4psrjlGsRB3ZzLYjHlHDCNhjx46EIvfJoEsQXLBJmWjUsTybW5XNnA6eEYfB4Fd53k2iodD/2dQfQmAhCEtWzhoiji4fsGoRvWrtYqDzp2GOoJob8rCFG4PWN5K6jvF5czZdwxnqgFo1JzU2URP/za4V1/1htlKb1+jiCKwo5BzOWKgVcmkrX9gappYaguCCoa8uDeoLbvtUTuMxJtTd5m/g4AVyfTyK0E9aVzZdxzqgt3neiEKKIlx8yNpFdNvDKRXDvjVLUw2hd2uVWHS5JEnB3Z+vNC1C4iQQ8ee3AIABBskQRbGy1lSogENNgACqUqqoa550BYah6uBXG8//3vx8/8zM/g53/+59dNcHO5HH75l38ZX/va1/YcxPHkk0/Ctm1cuHABv/iLvwhBEGBZFmKxtQMJfX19mJ2d3Xe7q9UqLl26tO+fd9NcSkemsFYxo5iZRSK0vw0N27ZxZbq8/s+Kc5Al3sSJCDsO6EsVY12Wjc2yvZTLRm1iaJo2KroBRW7NwRO1v0KpCmDtgEKhXD2S982X1t6nalioVk1I2v6Gd25PxN1+f6JmVdYtWHWVKwqlo+lfgK2vS1EUoe5h7bZQMlBffOOo+kiidiUIwq7K4qqyiHypbpxtA+lcpXboBwDyxcZcj7ttI9FxV6vEsYckK267cCKB6cU8Ll5bYhAHUZtbN45YeVxfvXO7+cJRnfWonx/ZtnOo2a3Mc1zXIDqYRlxD9WunlmXDMCyI3tbMTlmtmuvnchvWh9gH0XGx1QHv3R5q3zh2KFX2PnZo5ettY79YrhgM4mgxbgZwALfffwql6o5BHMXKhv2BTfY4DmMtsZWvTaJG2+r6qJ/361ULumGysvYWNp5xOsr92qPG/pTamWFaqOgm5JXqG6Wyc223WlK6QrHqjJ/gnKks6wziaGWu3Xl/+qd/Gn/4h3+I733ve/gv/+W/IJFI4OLFi/jX//pfI5vN4nd/93f39Hp/+qd/it7eXlSrVfzu7/4u/t2/+3d46qmnbsuAYNsHK2elKArGx8cP9Bpu6c5V8Oq0ExUPATg1GEHgAIuVcjCNXMEZlPg8Mk4PRVoy4wTRXrRqEFezCXgVyJJYK/kd3iTraDioYSHpVD5SFRHefR5MJzoKIb8KQUBtETJ0RNHa4YCKVNY5+OXVZKhcbCdqOz6PDEUWaxv1rVgKPOhTIIpCbXGzFX8HolYVDmi1sYIgOFn0M4UKyhUnwQOvRyJ3ZfLORmnY3zrX4oXxBP7q2xO4eHXR7aYQUYNFAlotUzOEzdfv3BYJarWqRqIoIOBrzcPZRNQYkYCGUtkA4CTf8Xtbd49BVSR4NRmlivP7cC5HtD/hwMaxQ+sE1B+Gjf2iW8Gv1LrCAbW2f7/bOULAq0CSBJgm9weImk0kqK0/a8ADwFvyeRTIsghjZb821EJJeYhojSyJ8HuVWiBWyK+2XAAH4PTf8ytjMkXmmcpW59q/3gc/+EHcf//9ePLJJ/H2t78dTzzxBP70T/8UJ0+exJ/8yZ9gYGBgT6/X29sLwAmy+Imf+Ak89thjiEajAIBkMlmrxjEzM4Oenv1niRMEAT6fb98/7yafz4eA34dCqYqQXz3wosQdJ7xYTBVh20BH1AtZYik1ItodRZZwdiSGZLYMVZGQiHhve85QdxA+jwzDtJAIeyGxj6EmFvCpODMcQ7agw+9Vjuxgw1hfBIv+EkzLQkfE15KTCyLaniyJODsax3K6BEWWkIhsn9WqGXk0GWdHYkjnKvBoMmKh1vsdiFpVZ9QHRRZRKhsIBzT4vQrODMexmC5CEkV0bDIOJ6Kjky04m6SttOl3x1gCAHBzLod0rrIuKz8RtZdoyINTQ1EUSlUE/SqCTXjIsTvuh6pIKFcMRIIaM4YS0ToDXUF4NRl61UQs7GnprJSiKOD0cIxzOaID6kn4oSoiKrqJaMhz7KpQ3N4vcu+V9iYa3PscQVUknBuJI5ktQ1MlxMO8hxE1i9WzBpZloyPq5VmDbSiyiHN1+7UdUfZlRK3q9FAUi2kncU1HtDXPgQ92B+GtO1PJc9utzdUV7Yceegif+MQn8I53vAN/8id/ggsXLuBTn/oUZHlvzSoWizAMA6FQCADwxS9+EWfPngUAvO1tb8OnPvUpfOADH8DFixextLSEe++999B/l1YRDmiHdrBUEgV0x/2H8lpEdPx4NBm9HYEtvy8IAjpbdLBEx1PAd/AAyb0SRQFdMV4nRO1OU6Rt75mtwOdRmNmNyCXRoAfR4NpjRRbRm2jtPoWoXaxV4mi+g9FbCQc0DPeEMDGbxQvXl/D6u/rcbhIRNdBh7ic0CoPEiWg7myWQalWcyxEdjuN+gLyd+kVyx37mCDudCyAid/Cswd60w34tEQGSJLb8mWeeqWwvrobgvPTSS/jpn/5pKIqCN77xjXj++efxH/7Df0C5XN7T6ywvL+N973sfnnjiCTzxxBN45pln8Fu/9VsAgCeffBLPPfccHn30UXzoQx/CU089tecgESIiIiIiIiIiIqLDYpgW8islu5v9gPRGF0441TguXltyuSVERERERERERERERERErcm1aIZPfepT+K3f+i2Mj4/jYx/7GAYHB/GZz3wGv/mbv4kXX3wRv/d7v4fR0dFdvdbAwAA+//nPb/q9RCKBj3/844fY8tZjmhYm53OoVE10Rn1HkplqbrmAdL4Cv0dBf2cAgtD8Jdd0w8L3Xp5DrqhjrC+M8YGo200iagm6buCZS/MolKo4MRDFaF9436+VyVcwt1yAIksY6Aq6VsbXsmzcWsihVDEQD3lZCpF2ZfXeJ4siLNsGAPR3Bph5vg29cH0JM4t5xEIe3Hu6E6LI0oTUWNvdH1f7noBXQV9Ha4y7ifZL1w1875UFZ87WH8Z4//Gdsy1nSlhMl+BRZQx0BSFtKHNuWjam5nMo6QYSYW/LZFl87vICFlJFdEZ9uPtUp9vNIWqoXMGpwiEIOPKKfgd1YSyB//2NV/ECgziI2k6xXMXUQh6CAAx0BuHRDraFtJQu4gdXliCKwD2nOhEJru1N5EtVzCzmIQoC+rsC8KhMvkVEh2t13uRVZfRvMm/aStUwMTmXg2Fa6EkEEGqhqmnk7Pc++/IcskUdI71hnBw8vmsH7WIxVcTzVxchiSLuOd3Z1EHwrbZWq1dNTM7nYFk2ehP+lpub0uFbSBWRzJbh02T0dwYhbnPvtG0bUwt5FMpVRIOe27L5T8xmcGUyBZ+m4L6zXRzvE+2TYVh49pV5pPMVDHYHcWY47naTmlpZNzA1n4dl2+jtCCDgbdxZjVY8G0lEwNRCDn/37BREUcCb7+1HTwtWvKwaFm7N51A1THTH/U09R6KduTZK/o3f+A38+I//OP79v//3UFVnMviud70LFy5cwL/6V/8K//gf/2M899xzbjWvrdycy2EpXQIAZAs6zo/GG3qgNJUtY3Iu57xfXockCS1R3veZl2YxMZMFACymSwgHNHSw7BDRjp5+aa52zTvXjrqvUsSVqokrkymsnH2HYVquLa5PLeQwv1wE4PRjmipxo4a2lay7992YySAc0BALeVAoVXHXyQ5O2NvIjZkMnr+yCABYTJUgSyIPmVJDbXd/XM6U1o275TYo/Um0nWdensfE7NqcLRLQkIgcvzlboVTF9ekMYANZOIfAh3tC654zNZ/DfHJtPOtRpabfiL80sYyXXl0G4NxjPZrEDSlqa5mVII6gT931gcJmcWbEuTanF/PI5CvcICBqE7Zt4/LNFKqGBQAolgzcebJj369nWRb+9tkpVHQTAJDOT+EdbxoH4AScXrmZgmE671XSDdwxljjgb0BEtCZfquL6VAaAM2+ycfu8aSvXbmWQKzpjtVwxhTtPdLiWcIr27tmX55w5M5y5Zcivcr2shemGhb/93hR0wxlPZIs6fuwNYy63anOtuFZ79VYahZUKkbmijjtPdECW2N8dV5l8pXZeJpvXIQgCBrqCWz5/dqmA2aVC7fmqIiK6ErSdzpXxrednVvY1SqgaFt5830CjfwWitvTclQVcvZUG4Ixtgl4V/dtcm8fd1VtplMoGACBfrOLOkx0NWXtNtujZSKLjzjRNfO5rV1FeWa/83Neu4ufffbfLrdq7GzMZpHMVAM558DtPdEBVJJdbRfvl2gzsd37nd/Brv/ZrtQCOVadOncLnPvc5vPWtb3WpZe2nVDHWHtiobZocyfuh8e93WHKF6toDG8gUKu41hqiFrGYPBeAcJKt/vAd61awdUAVu70uOUnlDv1XW3WsLtYbyyufVtm1UDau2oVA1LJiWvd2PUovJ5NePD1Y3dIkaZbv748b7lZv3TqKjkC1uHHdWt35yGyvrBlDXL5Q3ufZLG8avG/uLZpTN69s+Jmo3q+PKcKC5A6w2E/KrtYMclyaSLreGiA6Ladm1AA7ACSi3DrCmoRvWur2BYqkKY+X1DdOqBXAAm49niIgOorJxTrSHfqZ+P8CybFSN5p9P0ZrshvXa/e5ZUXMo60ZtvwUA8k28Ht+Ka7X1/Z1p2rWxGh1PGz/DO53z2fgZL1fWnp8rVtfta2zsm4lo9zbuRWc4ttlW/bh/49pDo94HaJ2zkUTHXUk31415CmUDegtev/XjMNt21nGpdbkWxPH444/Xvq5UKlhYWECl4mxe+nw+PPXUU241re0kImsZ8VVFRLDB2eSjIc9aWUUBiIU8mz6vVDGQyVdgNmjAtFfDvWuRypoqoTfR3JkxiA7KtGxk8pUDLyIO94ZrX3s1CT37vHZ8HgVeba1AVH3fddTiYQ+w0o3JksisorSjSFCDKAoQBAEhv4rgSqbrSFBj1qI2ki9VEQ1qa9k6BGCoe3cZ/Ij2q/7+WDUsqLIEfWUSHl3pewBAELCvSlhErWSkd63P9WpS02czbJSQX12XBTYWvn3OnajrD3TDRCsUBRvuDdfaKQjA0C6z5BK1qtVApZC/NeebZ0diAICXbzCIg6hdyJKISHCtT4rVr/Pvg0eV0RlbG5P0dQYgr4xhVFlcV/XWzXXAjcpNtm9BRPuzcd60lzWT+j7J55HhUeVtnn24DNNCJl9hcNsBjNTtWanc7215AY+87pps5vX4aFCDbdvIl6owLGvLMxLNpH79KOBToKnM3nuchQMqJGlt/yu+yZpjvXjYW9tPlyQB0bq5RFfUC59XqT3ebTWsRiqUqsjkK7BtJt+j1jLSG147uyKL6O9snmoPxbJzXTVTUsv6cUPQp0JtUEW93Z6NJKLmEvCq6Ovwo2qYqBomhrpDUFtwDFzf13k1GT6Pss2zqdkd3arTJr7//e/jIx/5CJ5//nlYlgVRFHH33XfjF3/xF3H33a1XpqZZdcV88HlkVHQT4UDjD5N6NRnnx+LIFarwezfvJJYzJaeUre08/+xIDJLLh1zPDMcRCWjIFavo7/TD52m9TIhEu2WaFl6eSDplBAVgrC+874Of50bjiIVWr53gvjc0JFHAmZEY0rkKFNndwIl42AtNlVGuGAj5VZYcox35PErt3nduNIZK1YJt27WywdT6ZhbzmFrIAwBODEYQ8KpIRDxIRHwut4za3er9cXYpjxszWeSKOl64voQzwzGn7xmNI1fcetxN1E5un7O5uqThGkWWcH4sjkxeh6ZKteDReomIFx5VwuWbKYgQcH0qg3yx2tSBEV0xHx5/7QgWkiV0xryIctOD2txqBdhWrMQBAGdH4vjy0zfx8o1lt5tCRIdovD+CVK4MQVh/CGu/Hr53EBNzGYiCiOGetSRKgiDg5GAUqVwZoiA0zX0/lS3j6lQasJ1ET+dG40zOQdSi6udNHlVCYJN501YGuoII+lSYloVIQDtQQNteGKaFl15dRkV3AvHHByJcX96Hk4NRhPwqsgUdvQn/nv7tqfmIoohH7nfGE5IorgvSaTaiIMC2nT1Y2xJdP/uwG0M9IYQCKizLRiTogdAKWUCoYTyqjPNjCeQKOryaDL93+/2GSFDD+dE4imUDAZ+y7oyAqsp4/LXDmJzLwafJ6O8KbvNKjVe/xxcKqDg1GOXnnVrGSG8YAa+CVK6C7oQfoSYZ2yykipiYyQIA/F4Fp4dja4kQXTTSG0YkoMFaOavRqGt9N2cjiag5veZcN0RRhCgA95/tdLs5+9LXEUDAq8AwnXWLZuh/af9cO/Hwgx/8AD/xEz+BUCiEd7/73ejs7MT8/Dy+8pWv4Cd+4ifwyU9+EnfeeadbzWs7QZ+K4BGeMfSo22emmU8WgZVA3FLFQKagN0VUak8igB63G0F0BLIF3QngAADbuSYPkr37sK4dWRKbJvNewKsgsMPiFFG9+nufvzk+xnSI5paLta8ty9ncqK8eRNRIsiTCtlHrY0zTxnKmDJ9HgUeT4eFnkY4RztkciiztOG72aDJMy65lvJ5PFTHYHWzqDcpoyNM0hziJGi2zUokj3KKVOM6NxgEA16fSKOvGkWaoJqLGEUXhUCv8ybKI8f7okbzXYZhPre1bVHQTmXyl6dpIRLu3m3nTViKHEMi2V+lcBRXdqb5q28BCssggjn3qjvuPbfXOdrTdeKKZLGfLEEWhlqRuMVVEwNu8QSer2M9QPU2RoO3h3unzKFseXPaoMk4ONse1O5dc2+PL5nWUKgYPXFNL6Yj60BFtrsSC83XXVaFURb6ou5qotd5R7THsdDaSiJqPYVpI5XSM90cAAMuZCkZ67SNL3nCYmqXPpYNz7U7y+7//+zh16hQ+8YlPwOdbG2j80i/9Et73vvfh93//9/Gxj33MreZRgzlZ7asbHhPRUdl4zakyr0Eiou2oigjDtAAAggBm4qQjd9u9m+NnItqBKAiQJAGm6ZxEVCSxqQM4iI6b1UocoRatxNEZ9SIe9mA5U8bVW2ncMZZwu0lERAe2cY2U8y4iOkpc+yFqbRvHERqvYaKmoSkSDGNtj0+RucdHdFCaIq0ljhU4diWi1iCJ6/dOZVlsyQAOai+uVuL48Ic/vC6AAwB8Ph/e//7341d+5VdcahkdpvlkEQvJIlTFKW+6Omgb6g7Btm2UdROdUR+z3RM1SLagY3IuC0EQMNjtlAAHnHKGwz0hzKeK0BQJQz3uljAlouaiV028OpNBtWqhK+ZDZ6y5Mnu4Ybw/gonZLEzLRm+Hnwu81DBbjZ+7Yj5UdBPZoo6QX0VnlNlgiY6rqmHixkwWZd1AZ9S3ZXZRURRwcjCKybkcBMGZhxNR88iuVOKItGi2JEEQcHYkjm/+YBov31hmEAcRNYxhWrgxk0GpYiAW8qC/s3HrmIPdQViWjZJuoCPira2lEtHxNjmXRTpfgd+jYLg3DKlBBzxCfhWD3UEspkvwajIGurhvQ9QojdgD6Yh6UdYNpPMVBLwKq8FQU5tbLmAxVYKqiBjtC0Np84SPY31hTMxlYRgW+joCbf/7Eu1XMlvG9GIekihgpDcMr7b1sdLhnhAmkIVeNdEV82/7XCKiZiEIAnoSfjz7ygJEAbj3TLfbTSJyL4jDsiyo6uYL4JqmwbKsI24RHbZCqYqbs1kAQKkCTMxma+USFVnEiYHmKJ1I1K5s28bVW6la9OjVyTTuOd1Z+34nD2YT0RYmZrO1Q2UTs1kEfFuXQz4uPJqM08Mxt5tBbW678bMgCBjq4QFsIgJuzuWQzjkZ/CfncvB7lS0PGAZ9Ks6Nxo+yeUS0S6uVOML+1gziAICzI7GVII6k200hojY2tZBHKuv0mTOLBfi9CqJBT0PeS5ZEjA9EGvLaRNSaltIlzC0XAQDliglVkRoaXNEd9/PgN9ERaNQeyEBXkAFY1PTypSom53IA1vYh2v3sjkeTcXqIe3xE26kaJq5PpWE7x4twbWr7yruqItX2MImIWoVl2ZhdKqAr6pyXnFnIo5tnJ8llrqUQPn36NP78z/980+99+tOfxunTp4+4RXTYqoa17WMiaizLRi2AA3Cy1lmWvc1PEBE59Kq57jHv4URHg+NnItqNapV9BVE7yKwcGAoFWjfL+9kRJ0jslYkkTK43EFGDVA2uURCRe7hWQ9SeeG3TcVblHiARbaJqWLUAjtXHRETtxrbt9WcpLZ6lJPe5FsTxL/7Fv8A3v/lNvP3tb8fHP/5x/J//83/w8Y9/HO94xzvwjW98Az/1Uz/lVtPokAT9KvzelYwVAtAd3zxqrViuYiFVRKliAHAOmi+kikjlyrt+L9O0sJgqIZXd/c8QuSFX1LGQKqKyYXFkK6lsGYupEkxz7xMkSRTQEfXWHnfFfBAbVOa7lRVK6/sgomaWyjl9grGPPmEvuuN+YKW72C67dyOlcxUspIpNvUBk2zaWMyUspUuc2NGBpXMVlHUDmuqU8S5XDSiysOP9qVQxsJAqolCqHkUziagJqIqIqYUc8kUdXo8MTRHZDxC1oOxqJY5A61biGOoJwavJKJaNWjUxImpfpmVjKV3CcqYE297/HDhb0HH1VgrTi/ldrW90Rn0QVtYoNFVqWBUOImoPZd1ZJ8kX9UN5vXjYA0V2ttNFUTj06uZ72d80LRuLqRKS3AslOrDuuG/dHkhghz2QRp1F2G7P57DGXnR8rZ5LKOvr9xhCAQ1ej+w8EJwzBI2Uya/u9+3ufMQqy3L24HgNEB0NryYjElxbp+w5YHW4quGc/VutKr5Rfos+ql3xvk7UHCRJRDziQbagI1vQ0Rn18iyli+aWC7g0sYz0Hs6JtyPZrTd+y1vegt/+7d/Gb//2b+Opp56q/XlXVxd++7d/Gw8//LBbTaNDIokCzgzHkC9VocoiPNrtH7dMvoLLkynAdhY/Tw1GcWM2g3LFmcD1JPw7lhy1LBuXJpIolp2BXVfMh6Ge0OH/QkQHtJQu4dXpDABAlkScG4tDU6Qtn39zLov5lTLdc0kZ50biex44jPSG0RHxAoKAgPfgZYDbzcY+6OxI7FDKJRM1wq35HGaXCgCAuWUZZ0fjkBo0mUhEvAh4FeiGhYBXOfJJy8xiHlMLeQDArFrA+dE4JMm12OMtXZ/K1DZNl9IlnB5mKWban/rPvCKL6Ip5MbWQRzqnI1tY3vL+VChVcWki6QQRCcCpwWhLHwQlop1NL+bx9IuzqFYtpPM6RvvCuDSRqvUDJwei6zZaiKg5WZaNXME5WBj2t24ljtW1v+9fXsDLN5Yx2hd2u0lE1CC2bePyzSTyRSdoNB2uYKw/sufXWUyV8N2X55DMliFJAk4ORnHXyc5t1zfCAQ0XTnSgXDEQ8CpNuT5ARM2hXDHw0o3lWlbN8YEIYqGDBX6pioQ7xhMolKrwajLUbfZ09sqybLxyM1ULyO+M+TC8xf6mbdt4ZSJZe25H1IuRXo69iPYrHvbC79ndHohl2Xh5IonS6lmEuA9D3Qc/i7Ddns/GsVcmonO+RXuynCnh+pRzLkGSBJwbjcOjOud1JFHA2ZE4Ctuc4zkss0sF3JrPAQBmFBHnxxKQdzmev3orVatiuhws4+RgtGHtJCJAEAScGIggX6pCEoUDnZsxTQsv31hGRXfO/vV1BtDXEah9f7s+qh3xvk7UXAzDgiILgCA0dVLZdndjJoNvXZwBbOde8MMPDSNyTJP3uLra/cQTT+DrX/86vvjFL+JTn/oUvvjFL+Lv/u7v8KM/+qNuNosOkSgKCPnVLSd+qVwFWAkwtSwbM0v5WgAHgF1lkynrRi2AAwCWM8c7MouaV/3n2TAtZPKbR5yvqv8sl8rGviPQAz6VARxbSGbL6/qg1BZZAIiawXKmVPu6VDFQKjc227ZHkxHyq65Endf3fxXdRL4JM4vbto1kXTR4tqDvOYsQ0arlujFC1bCQKehQZOdQgGXZW2apSecra1Vg7N2NnYmotd2czcK2AVkWocoiLt9KsR8gakG5oo7VSzfYwkEcAHB2xAlkvnQj6XJLiKiRdMOqHTYA9j/mWM6WkFvJjm+aNlLZMoq7WN/QFAnhgMYADiLaVqag1wI4gPXrqQchSyLCAe1QAzgAZ3+zvqLidu2t6OaG53LuR3RQu90DKetGLYADOLzrL1m/D7xhz2fj2Ouw+jM6Puo/p6Zp14IhVkk7nOM5LPXzBr1q1eYCO3HOUqw9N52r2wshooYRBAFBn3rgxKeFslEL4ABuv4/t1Ee1G97XiZrH6hjDqynwqjJSWY4x3DIxm62d2TRNuxb4exy5vuItCALGxsZw7733YmxsDILA8jTHiUddv+AZCqxfKPHuYtKoKhIkae1nPNrhLqISHZaNn+edPt++uu+LolA7zEmHZ+O/wcY+iaiZeDf0CVobf17rf1dBQFP+roIgrOszFFmEJLo+tKYW5VXXf+Y3VtPYasyw8b61m7EzEbW2jf1DIuxd95j9AFFryK5U4Qh4lV1noGxWZ0fiAICXbizDtrnZQdSuZEmELK/1V/s97OXV5LXKxAKgqfK2lYqJiPai1dZJNu5vbtdeRRZ3/VwiOlyKLK0/v3BImcK9nvV7PvWBYrIkrpsr8pqnvdrruYRGqb83C8Lurx9JFKDUzT80VXIl6RwR7Y+mSqg//rlTn9Tu97mN9/VGB9AR0dY4xmgeG/e8j2sVDgA40rvCd7/7XZw9exZ+vx/f/e53d3z+/ffffwStIjd1x/2wLBv5UhUhv4ruuB8+TcF8sghFFjHQFdzxNWRJxKmhGGYW85AlEQNdgR1/hsgNq+UBSxUD8bAHQd/22TbH+sOYWsijaljoTfjXDSLocHTFfOv6oPiGQ3BEzWS0L4KphRyqhoXuuL+tA7uGe0OQZRF61URXzNe05VNPDkYxtZAHbKC3w8/JHe3bxs98yK9CkUTkS1WEAxqioc0nrPGwF1XDQragI+BV0BXzHXHLieionRuNo2qYWEqX0BXz4Y7xDiwki0jnK/B7FXTH2Q8QtYLVypzhQGtX4QCAE4MRSKKA5UwZi6kSOjkeIWpLkijg9FAU04t5iIKA/l2s229moDMIy7Rwcy4Hv1fBycHooWe2J6LjKxzQMNIbRipXhleT0Zto7v3Cjfub/Z1bt1eSRJweimFmKQ9J3P65RHS4FFnE6aEoZpYKh3oWYaQ3vG7Pp35MJIkCTg8ffOxFx1f9uYRYyIOQS1VAh3tCkCURlaqJjqh31weXBUHA6eEYphfygAD0d/C+R9RKNEXCycHolmf/mqWPOiq8rxM1D44xmsddJxKwLAvpXAV9nYFdnRNvV0d6Iu69730v/tf/+l+4cOEC3vve925ZdcO2bQiCgEuXLh1l88glvRs6w3BAuy3SaieBlQ0fomYmisKebjiKLGGkN9zAFpEgCLf1QUTNSpHFY9MnyJKI4Z6Q283YkUeVMd4fcbsZ1AY2+8zv9v7UHfejO+5vRLOIqEnddbJz3ePOmI+HpolaTGalEkfIv7f1r2bkUWWM9YdxZTKNl28ssz8iamM+j4ITAwdbgxdFASN9EYz0RQ6nUUREG3REveiItk6ypr3sb/q9B++HiWh/Aj4VJwcP94DpTns+hzH2ouNrr+cSGkWSRAztc7/Pq8kYH4gcboOI6Mhsd/avWfqoo8T7OlHz4BijOYiiiPvOdLvdjKZwpEEcn/jEJzA2Nlb7moiIiIiIiIiIiOg4ybZRJQ4AODsSXwniSOJN9w643RwiIiIiIiIiIiIiIiKipnekQRwPPPDApl9Tc8vkK8gWdIT86rooWdOysZAswrZtdMZ8kCVxT6+7mCqhUnVKo/k8ymE3m+jYuzKZQrZQwXBPCIlI82bCTOXKyBeriAQ1BH3tcYCFqJ0Uy1Uks2V4VBmJSGOy2C2lSyjrux8T5Is6UrkKAl4F0ZCnIW0iOmqrY+tSxYAoOhlZOqNb37/1qonFdAmSKKAz6oMobl7lkIha1+o9WFPkbTPJGqaFhWQREICuqA/JbAWVqoF42AuvdqTLPkS0S6uVOPZaibZZnR2J4fNfv45LE0m3m0JEh2Cvcw3TtDCfKgI29rVPcFiqhoXFVBGCIKAz5oPEORJR01ud83g1GfHw3tcdLcvGQqoI07LRGfVCkaUGtHI927axkCqhaphIRLzwqJxzEe3HXvcE9mOrMw57wfEFuaX+HpeIeKEpjb/HHZVCqYpUzrn/a6qMVLYMv1dBjPt9RA1xGPfDdtYs55X470R0dMq6gUs3khAE4OxwDGoLzuu5NtFe+K9H28rkK7h8MwUAmF0q4MRgBNGgM3m6OplCdmXTeTlbxvnROARhdwsX04t5TC/kAQBzy0XcMZ5oq4knkdueu7yAl15dBgBcvZXG468dacqB/nKmhOtTGQDA7HIBZ4ZjDOQgaiJl3cDLN5KwLBuAc5CjtyNwqO8xs5jHVN2Y4PxYfNsJRr5UxaWJJGynSRjp/f+z958xsqXnfS/6XzlUTp1z9857zx4Oh8NhUiApkqIowtf34OJauA6wLnxxIcuGBX24AgwZMARBlgUYBvzJAB1gG5Dh43MMy5J4RJEWJXoYhpPDzp1D5bhq5XA/rKrVVdXV3dXd1fn9AYPZ1V1V663q9bzvk5/YgYmtBMJl4flGBcWqjrVsHSxDY3YsAsN0+o4TdlwPj1bKMCwHgC8XS1PxM14xgUA4TQzL6T6DbQeT+5zBT9YqaGoWAN9OlwQ/+SFXVnF/kdjaBMJFpNaaxBENXQ37985cCgCwlq1DUU2EiV1PIFxaHMfFxyslmJYLAFB1GwuTsQNf82S9AkX1dZFKw8C9hdSpr7MX1/XweLUMzbABAA3VxM2ZxJmvg0AgDI5u9PodXYynQ0d6jxdbVVTqvl5VrGp4sJg+9SYXa9mGX0QPv1ndg6X0uRWvEQiXle2igs3c4DGB41BtGHi6vpvjcGs2ceQ4aa9+UW8auDWbHOo6CYT9WN2po1jVAACFiooHi2kwV+C80Q0bj1b9898wbaiGg0TEl825ieiBja0IBMLROSjnj3Bx8pV69ZabMwnEIxcvv4tAuCr8+U/WUW34voTtYhNf/+z8Oa/o6Kzu1FGotHVF4pu47JxpEcdv/dZvDfxciqLwu7/7u6e4GsIgtIPKbepNE4mICM/zggIOANB0G7bjDtzlpvN9XdeDopoQjtFlh0Ag9CfXCiIAgON4KFTUC1nE0bmPwAMaTZMUcRAIF4imZgWBVMCX2YnMcK9RU3b3Adf10NSsAwM2jaYZFHAAQK1pkCIOwpWg1jRhWDZc14PpOrAdDzXF6FvEYZh2UMAB9JynBALhSqCoZtcZXFOMvkUctuMGBRwAkK9omB5hQdMUHMc/V0kRB4Fw8agrV2sSRzwiYDITwlahicdrFbx6Z/S8l0QgEI6JZjpBAQewNz7Qi+/b39VFmpoF23HPPGho2k6QYAkcvm4CgXD+NNRuv2OtaRy5iKPTH2KYDgzLOfVphJ37i2W70AybxDQIhCNSP2JM4DjUmt26QE0xjmx/WY7bpV8QHyzhLOk8b0zLhWY6CEuXPzGv8/xXdRtN3QqKOOqKSYo4CIQh03t2tXP+CD6deQrnma/Uq7fUmwYp4iAQTgndtIMCDgAo13TYtguWvVx6VqdNRXwTl58zLeL48Y9/3PW40Wig0WiAZVnE43FUq1XYto1IJIJoNHqWSyP0wfO8Pc7OsOR39KQoCiGJC5JFBJ7ZNzBjOy4Ymuqa0hGWuCC4Q9MUQqc0JvUknEewiUDYD8dxQVHUwF2kUjEx6M5BUTjWKPKT0E/u+xGSuKAytP34OHieB8f1iMwSrhQX4b6WRQ4UhaBo4jAZPc7ZGZY5NFTfwKAoHKoThGUOoAC01hQ+5r5xFlyEvyHh8hCWOFiWf9578EDTHiIyD9f14HleV5ctgWPAsjRs2w1eSyAQrhYhkQNNU0FQUxZZOI67p+Mey9DgORq6acPzgERUCGwGmqYgi2QAK4FwEWkH5mJXZBIH4E/j2Co08fFKiRRxEAiXhH7+RpHvsTXkg22Ntr7RaMUJQiJ7LjYwzzIQOCYodg9Lw99fiY1PIAyXkMR2+R33SzY4yN8Ylrgg8YpjafBDKGDfLxbTjnmEJQ6G6e81DEMNPfGcQLhIuK4HDwAz5Ak3IYkLkkopyo9DDJuIzCNXUuG4LhiaPlZCE8fQQ9cviD5BGJSIzKNc1wH4/j+RP/4ZN0ieQW9sv19cYhh0nv+iwMLt+N1htgeBQDg6vfHDQeKJR81NOi4X4UwMy1yQVwUcP19pUBzXAwXs+W7besvuuq6Oz5hAuGiIPIuwvGuPJCLCpSvgAPz9S6/6sWGOo4lv4pwZNE92P870r/e9730v+Pf777+PX//1X8c/+Sf/BL/4i78IhmHgOA7+5E/+BP/8n/9z/It/8S/OcmmEHlTdwpO1Cizb9RPA4xJiIb4rEfzmTALZUhOu52E8Fep7E77YrKJU08EyNG7OxANFY3o0Ap5joJsO0jER4il3xjkKlu3g8WoFmmFDFlncnksSRwrhXFnbqSNXVkHTFG5MxwfqFPPJ2yMQeQYN1cL8RBSJ6NlU07uuh6cbFdQVEzxH49Zs8sDOVyMJGRQoNHULsRB/rC6kTc3Ck/UKbNtFIipgaSp+7EORQLgoKKqJp+tV2I6LVEzE4lT8XNYhCf45WKrpEHkGo8n+HXBsx8WTtQqamtV6TWLg6VxTI2FwLA3ddJAaQCeIyDxuTidQVQzIInthu/IYloPHq2UYpoOwzOHWTOJKjLomnB43ZxLYKTaxlq2hWNWg6TbiERFvP8nDdT2Mp0PBVA6GoXF3LolcWQXDUBhP7+3OTyAQLjeiwOL2bALFmg7LclCsaMiXNYwkZcyN7za9eLFZRU0x8HS9imRMwI3pBFJRCZbj+rY2cdoRCBeSdrJh9IpM4gCAu/NJ/Pmb6/h4pXzeSyEQCAOwmW9gu9AERQGLU3EkW75DlqFxZy6JfFkFy9IYSx3eFT8ZE7GWawCeh6lM+rSX3heapnB7PolsqQmaoo7czf8wdNPGk9UKDMvx/RKziaEntBII1w1Z5HBrNolyvb/f0bQcPGr51kISh9uze31rS1Nx7JSacFwPo0n5xHK5sl1DoaJ1xWIcx8WT9QoU1YLAM7g5k4AksLBsF5mEBO4SJnsQCINQqmlY3qrB84Cp0TAmhuh/7I0JnMYEnYjMw7QdVOoGkjHhWMmQw9YvVN3C4zU/nhmPCLgxTeKZhP2Zn4xBElnYtouRpHzsfJW1bB25kp9nsDQV39PZ3fM8PNuootowwLE0bs0moJsOXmxW4XnA5Ei473Tg49J7/os8g6piQhZYjOwTgyQQCMcnERWxNB1HvWkiInOHNn/dyDWwU2yCpiksTsZOLc9IN2w8XivDtFxEw37s/7SLRvrRla8UPl6+0qBsFxRs5hVQFLAwGev6WySjIhanYmioFiIyF/hoCATC6fDSUgr/6/0dUBSFhzcz572cY5GKiXixWYVpu1iaihHfxDnhuB6erlXQUE0IHINbc4ljxebPLZr/z/7ZP8Pf/bt/F9/4xjeCnzEMg1/+5V9GqVTC7/7u7+IP//APz2t5156tggKr1W3L87CngAPwu9q0E8n6UVMMlGp+dwDbcbGea+DufAqAP8ljkADQeZAtqcFoVFW3kS+rmBiiYUogHAVVt5Ar+xXXruthLVvHS0uHKxA0TePBAM8bNuW6HozsMi0XWwUFS4ckn2cSEjI4/qSQjXwj6A5YqRuoKgYZAUm49KznGrAd/74u1XSk40cf9T0sIjJ/aJeqfFkNpnNpho2dYhMzY4NNVTuOThCPCBd+hOhOsRl05VNUC4WqdmF1H8LFgGVoUABcF0hF/XPxL9/ZwidujgDw76lMQgqMPlFgMTtOphcSCFeZsMwjLPP44HkRrYEcyJdVZOISQhIX2Nw1xYQksPA8QDcccCyNyRFiwxIIF5n6FZzEcXfB9/k9W6/Asp2Bi7oJBMLZY1gOtgtNAL7vf3Wn3pUgIB3B1vA8D1t5BZlW7GCnpGIiEzmXAgeBYzA7oC/iqOwUm0EX7oZqolTVSJIZgTAEoiEe0X30oU7fWlPr71tjGBpTI/vHKY+ColnB1HDX9bCea+BBWEChqkFRfb+nYTrIlpqYn4gN5ZoEwkVmZbseTMrZzCnIxOWhJQadRZ5AttQEz+4WiOXKzWPtF8PULzZyu/HMasNAtWGcWRM+wuWDoakTF0+ouhV0dm/nGcQj3fkD5bqOasP3UVi2i828AkWzAvnfyivIxKWhTLtq03v+x0lcn0A4VZJRcaCiAL0V4wd294zTOqc2CwpMyz8T64qJUk1HJnH8nKGTcNJ8pUGwbAebeQXArh+mNwczFZMOLbIhEAgnx3E9FGsGbs0kAQC5korpkcilK67eyCuBDlVvWmhq1qlPEyLspVjV0FD9PFnDcrBTPJ7P6NxKcD766CPcvHmz7+9u3ryJx48fn/GKCAdxnI2q9zUULtdmRyBcRC6bHJ3Fanuvcdm+IwKhH7338YU3GHqWd+HXSyBcUCia6M8EAqEPe87Z9v/32TPI1kEgXGg8zwtGdZ9XofZpMJEOIRbmYdouXmzWzns5BALhCBDV4RiQL41AOH3OWc72uzzxexKuC123OtXz+BLQu96LILt71nD+SyJccfb4Dvvcc4M8h0AgXBP2HFOntyHsyfG58nvPlf+ABALhnLn6++jFZFhf+7kVcYTDYbzxxht9f/fGG28gHL46XSMrdR3LWzVkS83zXsrATI9EILSq6SmKQqWuI19Rj/Qe0RAfVMpyLI2ZseF0w+mkphhY3qphu6DAbbcmBaCZDr79wxX8l+8+xYvN6pHecywVCirTwjKH0aSMpmZhZbuGjVwDTqszOoFwFsgi54/npQCGoQbugue6HrYLCpa3aqgpBj5eKeG/fPcpvvvmGhzH6XputtTE8lYN5bp+4vUmo2LQHV/gGWQSElZ36ljdqQfd6obN9GgEPOcfZ6mYeOG78x8VzbCxsl3DWrYeTGYgXG4GkbmZsUjQ1SqTkPbtSHdauK6HzXwDy1s1KK2q4YMYTcgIy/7ZKYvsuUyc+MlHWfyX7z7F99/ZCPYdc4j7ju24WM/WsbJdg6pbhz5/Ih2CJPoTE3ydiHToJPhJm9tFBe88yeMP/+wx/tv3n6NY04LfT2bCmJvwz3qBZ/ClT03744MpYGok3DV6sVTT8IN3t/DjD3egm3bXdS6j/UEgXHeUTpuzw7YFgNmxKFiGhud5oCh/emSloaPS0FFXDbzYquDFZhUUBcTCPNIxCXqHDtmeskkgEC4GTd2G7fhyHgtfnUkcFEXhzpzfverjldI5r4ZAIByEwDGYGg0DFKAaFh6vlvFv/vuH+NH724e+tldnoSgK8xMxUK3kzrnx6L5TOEo1beh2iud1+0BPi4lMGKLgx0va+haBQDganb4Kz/MOff5Z+NY6Y38Sz2A05V+DZeggFpNJyIi2dLZSXcOPPtzGt3+4AtM8vt/RcVxs5BpY2a4F040PwrJdrLX8kpphH/p8AmEYzE/EQNMUKAqYGY2AZU6WVpIrq1jeqqHU4Qs9TTrj/SGJCyZynBbtPe7RagkvNqvIl/fmVUyNhIN4ZjImIr5PUX+xpuG/ff85/tv3n6N8Rt/XWeAcMe5EOBzTcg6Mh0kCi3hEQLbcRLmuY6rPZI9EREAyKsJxXdSaBhzHxVhKDuISfhx+8Ckcazs1/B/fe4Y/fmMFmnayv7NxyOcjEAiDUaz6tvhhOX8iz/oTvlu5Se145bDo9AlMjoQh8P7eEm/tQwexVVDwl+9s4u0n+WCq1aBs5Or4P773DP/jB8tQTrgvHZcgZ5ICaJoik/0IlxpFNbG8VcNmfm888zLA0BQm0iHkKyryFRVTI+ELUfB9VNIxCf/XD1fxf/7FM1QaGmSRTOE4D9JxKfAZSQKLiWNO0mMPf8rp8M1vfhPf+ta3YNs2fvmXfxnpdBrFYhF/9Ed/hH//7/89/s7f+TvntbSh0lBNPNuoBo89D35C9gVHFFg8vJlBoapiZauOUk1HqaaDoakjje+an4hhdizqG3lDRtUtPF2vBKMcbcfFTGuc6Z/+YBnPWsUba9k6/s437g0cWOFYGvcWUnBdDzRNwbJdPF4rw2kF2HXTxo3pxNA/D4GwH9OjEUxmwkeSo62CEow6fLxWwrtPC2BoGstbgGm5+MXPzgPwk8nXsw0AvvF2azZxok6gNE3h5kwikJ8PnheDoEJNMfDwRuaQdzg6ssjh5ZsjwTWvEo7r4fFqOUi803Qbt1tJMYTLyaAyF5I4fOLW+d3Xa9k6ChU/OFCu63iwlA6KO/vBMDTuzqfObb3vPMnjf761Ac/z8PbjPO4tpHBzJoGGauLBYnoo13i+WUVd8R07lYaBh0tpMAcErniOwYPF9JXcmwjHZzPvn89/8sYKVMNGPMRjs6Dg7/9vLwfP+fzDSbx+bxwsu3t/9d5Humnjuz/ZgGn7gYuGauLLr80CAOrNbvsDwLkUVhEIhMExLQePV8tBYwLTcrA4FQ9+Hw3xeOX2CF5sVVGq6ihWNbz3rICRhIy3HuVRrutIRASsbNfw5U/NwgPwqEOHVDUbd+aJDkkgXBTaScaSwIJjB0+EuAzcnU/hRx9m8fFKGX/95897NQQC4SAm0mGERQ5/9IMXeO+ZX3i1nmuA42l88vZY39f06iyG5WBpKo50XEIq5idc7Bf0rCnGnik9w7BT2jYW4CeE3FtInUrQUuAYvLSUITY+gXBMjhMr5djT9a31xv4M08HSdBzTI5Gu6zE0hduzSeRKTfzlu5twHA9raEA3Hfy1n1061rWXt2uo1H2dsFzX8dJSJmjo04/nG1U0WgnP1YaBl25k9i2YIxCGRTIqItFqmnbSpKZcWcXaTh2AHxdhGfrUpxKyTHe8/zRp73GKZmG7oCAdl/xkVAoY6ShAGzSe+YffeYKm6hd47RSb+P/+3x+e6vrPivUjxp0Ih/N4rQzd8GME9aaBl5a64/CW7aKhmhhJyKApCsWajmRPzgxFUViajsN2XTA0jXrTgqo7eHgjDYamjyQ/dcXEf/2fzwOfZK1h4Fe+evtYn83z/Bi50SqabDRNPFgaTryPQLhOlFtFhoB/Bh+W8zeZCWM8FRr62dnPJ/DwxmA2dqWu4y/e2ghyA03Lwev3xwe6rqKZ+K/ffQ6jFU+tNnT8v37x7tE/wBAYS4WCotLLmDBOIAC+L/DxWiXwDVq2e+mKkjzPQ6mmIxP398JiTcd4+vING/i3f/QRtltNMv74B6t4aSmN8fTwG+wTDoZu+YxOaneeWxHHb/zGb6BcLuPf/tt/i3/37/5d8HPP8/DNb34Tv/Ebv3FeSxsqvR1UBumochQ8z8PKdh1VxUBY4rA4GTswofCoaHp3RxdFs45UxAHg1BwjmmGjs1lPU9tda76625XCcTxkC80jd8dqr9sw7cCJ619nuH9DwvXGdly82KyiqdtIRATMjUf7KuxHlaPO+7RU1WE7HtpbQ2eF/Z49SreG4jilaQqO63V1hTJMB7bjnrhbz0HXvGqYltPVOVkh+8+lp/dvqOr2gTJ3Xvd15zpd14Om2wM5089rvdutLp4eAMN28HyjAo6lMZKUhxak6dwvbduFYTmQB9jPruLeRDg+VcXAi+0qChUVLEvDFjk0VQuKZiIs7XbiZnsC9733kaKaQQEHAJQbux1neyfFkLODQLj4aIbdNVmy2Wfik+24eLpWQVUxEJI4qLoN03KgaCY8zz+vbcdDqa6B5+kuHbLf+xEIhPOjXcRxlaZwtLk7357EUW5NDyK6MIFwkdFMB5XGbhdK23GxU9y/M6duOt06S4etcZi89+ojw/Kxd76P5/l+ltPsPDdsG7+pWVjersFxXExmIsFkcwJhP9aydZRrOiSRxeJk7NIUhJ4kVnpavrX9Yn/7XS9XUbue305EPg6dn99xPBimDY7dXzfs3EMt24VlOWCEcwvxE64Rw9Lne/2VTW04schBaMu0Zbt4sVWFqttIRcVg2s4waMu00ZqW3J6a3NQsoE9fyIP2NUUzgwIOwG/Yo5kOJP5y7PcH0Rt30o3B4k6E/jiOGxRwAIBuOHActytXyLAcOI4HuiXLveevZthY3qrBtBxUGnoQo7AdF6blIiQd7e9TqKpdPsmTTN5xXC8o4GivlRRUEwhHp1fuB8n5Ow05288nMMi1Kg2jKzewXNcHvm6lrgcFHICfrH2edOpWm/kGChUNAs9gcSpOzkTCpUDviWdexjyEto7RlkdNv5w6RqHahGE68ODBdT2s7tRJEcc5ctL753QyaQeAZVn83u/9Hv7kT/4Ev/3bv41/8A/+AX77t38bf/zHf4zf//3fB8sez/n0r/7Vv8KtW7fw9OlTAECpVMKv/uqv4itf+Qq+8Y1v4Kc//ekwP8ahREM8Ov0b8cjwHBK6aePJWgX5chO27aLaMLBdPNoocs/zoOoWTMtBtaGjphgwLSdwpsTCAtBeP4V9x3qeB2GZB8Psfrmd3+3s2O6mJPBMMKHjOEgC26UsxSMHj3EjEI7CVkFBTTFh2y4KFQ2lIRkNnfIwkQlD7HDuzXU4JjufR1FALDS4jGuGDaNndGl7HwH8DlXR0G7gISxzXQUc7f3HsjsdTHbg3BwUx3Gh6talHNN2GALHQOoIxgzzDCEMH810sJGrQ9NM6KYNvc9o+0SPzHXKSC+W7Z/HnnfwvW1YTlfB1DDoPO9Zlg7Gjl9UlqbioPzJzrAsB7GwAMt2UVOMoRlbnd+JKDAQeRIoJRwdTbfg2B5kkYNlu/DgIR2XguCIYTlQNROlmgZV95Op6qqJSo9DMhoWIXfI5Vhyt6PbHvvjAunvhPNhvzOJcHEISVxX19V+crueq6PRNKE0TZRrBgAPpukXglMU4HoeQiKLsYQEnmUgibvn1FVMFCcQLjO11nS3o9jfl4WFyTh4jkFDNbGZV857OQQC4RAiMoexhNhK7nLAczSWJru75zmOi7pioKGaEHmmW2c5gp+KZ2k47m5C17B8XJ3vQ9MUwvLF9l/0srxVg6bbMC0XKzt+Ah2BsB+Vuo5cyU+OrCuX66w9zVipqtsoVlW4HXuM4/qxB8dx932dJLDgud09LXbImmbHwhA6imamR3c7ddqtGIU7YIyiM87YGwNw3XbcpGPP7LAR/XWfPMHrOLEYAuG4dBZsUBQQ7eP36MxPOA028w3UW/HYXFk9UgLoYbT3uHYhabjlt42HhWB/OCyG2Y7zhCUe6fhucu1oUh64gMO0XRSrKswBZfu0v/NeeuNOp1l4ex1gGBoR2ff5ua7n6+kdh61m2KAp9OS5dMveynYNTc0/cxTVCgqRBJ6BeIxiwYmUjJDIwnZcuK6H6dHDEwnb557dc2azDN2l20dD/IHxvrY+YNv7n/0EwnVkkJy/g3INemX0sNwc3egfj4qFhGPbAyMJqav53XifqZ777QHpRAihjr1kMnMxuu3Xmya2C81g/13P1s97SQTCQMgi1yWPlzEPoa1jVOoaqop+qI5xUYmFRFi2DdtyAFCYGkDvIlxczj37bGFhAQsLC0N5r48++gjvvvsuJiYmgp/9wR/8AV5++WV861vfwvvvv49/+A//Ib7zne8cu0jkqMgih3sLKVQVA7LADc0xWaio+O5PN1Cp6bAcF6/czoBn2T3GzUF4nodnG1VUGwaebVSg6jZcz0M0JGBxMoZkVMTSdBx35pJoNE1EQnxgCF4EBI7BvfkUyg0dIs/6Y0lb/OJn55FJSKgpBh7eHEH0BEkrDEPjznwSpZoOlqGRjpMiDsLw6DUijiLDBzGWCoHnGOimjURExN35JD5eKSEdl/DwxkjwvFRMAsvQQdebQRO1V7ZrfqcpCpgdi2I0KeNHH+7geWsk+v3FFF6+OYIbMwkUWpM/Mh0jg13Xw9P1CupNExQFLE3H0WiayJb8506NhDExgAGlGTYerZZh2y4EnsHd+eSl6T42CDRN4fZcMhht2em4JVwsaoqG//Btf8S147p4+eYI0jEJ4+lQl5MykDndQiy0v8xVGjqeb1Theb5j8uZMoq/hkC01sZ5tAAAyCWloowqnRyOQRRaG5SAVk7qSNC4it2YS+Os/t4TlrRpuTMURlnmA8h1Tw6qaX5iMIRLi4Th+0v1lNOQI508sLGAiHUIkwiFbUDGdCePnX5sFAOwUm1jdqeG9ZwXYjodERMBYOoSdYhPw/OSAn31lGoCfAPW11+fwbKMCnqNxa2a3pZsscrg7n0KtOVz7g3A52S4q2Mz5iT2jKRmzJyhuJ5weLEPj7kIKpZoGnmX26HyqbuN7b25gbacOzbSRjokISTwUzYLAMViYiIFmKHzqzgikVlHYnZYOSVNEhyQQLhr1pt/44CS+qosKx/p6yQcvivh4pTxQwgaBQDg/XM9DtqJB4GiYtoufe3kKt+dTwe81w8Zbj3NY32mAoSncmkvg9lwSlYbeV2fZj+cbVZTrfhwjIvOYHo0Mrft2rw/0sjVcsDp9wR6uZJMawvCwnNOJJZwFpxUr3cw18FfvbcFxPCRjIr7y2ixcz8OjlTIMywHH0rgzl+ybiMowNO7OpwaO/cXCEn7la7fxwYsCYmEBr94ZA+BPS328VoHrepBFFnfmkl1d0PsxOxZBSORgOy5SMTF4vuN6eLxaRlOzQNMUbs0mEJF5LEzGEA3xcFwPmcTJ/ZLr2fqRYzEEwklIRkXcmk2gqVmIhoWgyKFNqabhxVYN8PykzhvT8aFP9eucpAMMdw/t3OPaDafaDTvef1aE7bRjmKm+sZZ8WcVqtg54QDou4Vd+4SZ+8igHUBReuzc+0BoU1cSf/WgNqmGD5xn8wqdmkIjuv691fueJqIAb031GhgyZyxZ3ugzcnE1gM9fAi60qPAr48HkRd+aT2MwrKFb9OP5EOgyGpvqedZ1yMZqUMZKUIfIs0nERzDHOGlHk8JkH43j7aQESx+Az98cOfL7tuHi0UoZm2GAYCrdnk11x01szCRSq/jSPzjyDXvrpA73TzgmE60o0xAc5f2GZ39Ng8qBcA8dx8Wi1DFW3QdMU5sYiWM8r++bmbOYb2C74jad7cyRCUit22Zo0fhSfQFjm8bXXZ7G6U0dY5rA01X1mHbQHSDyDv/m1W3jrcRGiQOPTdw/el86KXj2kV08hEC4qHEvjXiueKXDMoZN9LirLW1W89SgPUP5k39tzyfNe0pG5NRPDRr4B23ExnpIQveCNeQkHc7k82gdgmib+6T/9p/iDP/gD/O2//beDn3/729/Gd7/7XQDASy+9hFQqhbfeeguf/vSnj3Udz/OgqvuPFN+PuEwDcI712n68/XgHmmaAY/3g78ZOFbPjUUQleeBrKKqFXLEOy3awtl0Dy1LwPKBUVTGe5GEYBuIhGrLIIh6iAdhQ1YvXlcX/bt09n/vubDtB6Xh/s15iMgXAg6Ydf+wjgdDLWCqEqmLAcTyIwnAVnM7CJkkIYzzd3xEfCwtHMpJ0094dFe75xlhE5oMCDgD4aLmEl5bSYGgaY30q4RuqiXrT7z7qecBGrtE18nWzoGA8HTrUSZsr71bTG6aDQkW7cgEHjqUxnt77HRIuFj99lEdT9adm1BQTT9crSD+QsFNsYiId6grcDSJz24VmMBa03jTRUM2+r9kq7Hbca9//wxq1edkMrqXpBJamE11ByIlMaGjFFhRFYeQAJzGBMAjj6TAaqoWwzGNxPN4V2N8qKCjX9aA7d0Ti8cZ724HDdCOnoFLXg+CbLLJ4eCPT9zohibvwE3QIp4/nedjq6MyaK6mYSIdJgPSCInAMJvbR119sVuC4HizbBU3RKNcNMDSDRERErmxhNCXi5nQCpuWhqVkISf4EvH56OIFAOH+u8iQOALgzn2wVcZTw1ddnz3s5BALhAN57WkBTswP7f7vU7UPPl1UUKhpcz4PreNgpNjE9GtlXZ+mHqltBp2uRY+E43tAKONokD0hQvOhMZcJB0mYyJnZ14ycQeklGReTKKrRWElW/DrQXGVnkht51/cPlUpDwVK7p2Mg3wLF0MEHcsl3kKuq+DQ14jjmS730kKeNLyW79ZrvYDCZwqLqNct1AJnGwX5WiqL7PqTZ0NDW/K77r+vtuZMbvCjqSHI5f0nbcwHcKDB6LIRBOykFxka2CArTiIdWGgaZu7yn0OCljKRm1ph+PlQR26PpDvz1uZbsWJGkapoNiVeu752zmdz9/saphIh0KmvkMyrONKtRW53PTdPBotYzPvjSx7/M7r1mpG4E/6bS5bHGniw5D+yPqOyd9b+QaKNVak2Y8X6d/5fZI39dPZEJY3qrBaxVQzY1HT3QeqLoNxwUeLvlxi2xZw2hqf9uhVNOD7v+O42Gn1MTSVHz38w3o3+zVB9ZzDSxMDqfpHYFwFYjI+zds7pzu15trUK4bUHVfRl3Xw4fLpeCsM0wHhaoW+Adc1wsKOAC/cd1EJtxVEHaS2GU8IuLlSP+z+7A9IBaW8MVXj3aunjbtBrvt4m2SD0S4TBwUz7wMaJqJj5bLQbOH954V8POvTIMfcPrdRWG7rAW6teMBhaqOWITo2peVK+MR/pf/8l/im9/8Jqandw/eSqUC13WRTO5WS01OTmJnZ+fY17EsC48ePTrRWodBPquiWGmNt/Q8cK4D1tSxulwY+D0My8VGzoDjuWg0dDC0b6t7HrC9ZQMUwFp58CTJh0A4NUISh4c3MjAtBwLPHqurxVnTdgi1nXssTYNlaVCtClUA4BgGNL3/3tH7OTmWgWm5QbCDoamBnES973NYhysC4bRod3qkKAoUEHSdoAe8l3thmZ57e5+9gaGpwClBUQBNgm2YGYsik5BBAcca90wgnCbREI+HNzKwbAciz3YVGTE0Bbb1mKIAikZ3sj0FknxPOBIURYGh6SBYTFEgU4QuKTzLQmAZxCP+hCmWpQJdgaIQ7B0AwDDkb0wgXHRqrUkcsSs4iQMA7s77ftiPV0rnvBICgXAYotAdnOT5bnuDpqkuPwNN+/rlUaB7/Ig00VW6GEnKiEUEOI479OR2wtWDZWjcm09BN21wLEN8BAB4rvs74BgabE+MoPfxsNl7vePvc7177GnY8BRFgaapI8diCITTxL/3nY7Hw78nwzKPl5b6+2VPi70xzH3iPAwFu/3xqeP5dvie5l6HnREsQ8M45e+ccDb0nkM8R3fp3wfdT6mYhIjMw3ZcSAJ74vNgzz1/yH3Ve2Ye98zu1QdIfhOBMDgsQ8F0d3MNOuW2V0aFngRntkN3bcef2jomTfs5E2fBZdwDGJrCnblky7ajuyaaEAiE04VhGDDMbp4Vy9CXroADAGIyD9N04HkeGJoiDT4vOVcis+2dd97BBx98gN/8zd/c87teQ8NrZxgfE47jsLS0dKL3OAm27WIjr+DWkgV+pwHb8TCekvDa3ZEDE6b3Y7ysIlvWkExqKDUMuK4HmgIEicft2TjmJ3a70zzfrGF1p4GIzOGTtzJnPoLQdT1sFprQDRvJqDDwuHYCYZicRhEX2yewcBq8/SiHR2tlhEQOr98fw9gxK2M5lsHCRAwbuQYYhsLCRAw8S+MzDybwzpMcKJrGa3dGAfjd9jbzCqoNAzxHIxYWMDMaQVjmMTUSRrasQuAYzI9HoRk21rJ1UBSFufH+nbF6mUiHoBk2FM1CLMQjQ/YFwjnx+v0xPFmrYCPbwGhKxqu3MuA5GrNj0WMFA2bHonixVYNhORhLygjLvD85K9sehxdCLCxgcSqOle0aHMfDzFiEBG9bDLNzZb6iolzT4bh+lzrbcXF/MY3JKzb1h3B2+M64vbK6OBUHTVNY1Cwomo1kVMRLN1L47o830dAN3JlNIldWIfAMOJbBVkHBhy+K4FkGn7o7ivA+XXQI15vFqRhWd+rwPA8zY1ESkL2kpOMCJJEFzzEISxxeuplGrWGi1jQxNx4Fw9Ao1TQ8WEzhg+dFlGo6xlIy7s6nsJ7r1h0IBML5U29N4ohe1Ukcc0nQNIVsSUW+rA6tazSBQBgemmFjI9dARBYwPxHF840qBJ7B3flU1/Mm0iHUp+N4tlEFy1K4NZtEPHK0vUvkWcyNRbFVUMCyNBaH0BF3I9fAxysl8ByDT905P1uoXNeRr/i+zenRyLH9uwLHAEOaqkq4+tA0RQp+Onj17hh+8O4WGqqJqMxD0SxEZA7JmIh600RY4oIO3qblYD3bgO26mEiHEQ0db+9QdRNvfpyDbjq4PZvE9GgYhulAM22kYmIwQXU/PM/DZl5BU7MQDfNdHUzjEQFjKRnFmg6JZzEzGjnWGg+CoSksTsaOHIshEA6jUNFQqmkQBRbTo5Ej+aDmJ/x4iG27GE+HTm0y1X5+2ZPwZLWClZ0aoiEer94dA8/S8DwP28UmGk0Tlu1AEjjEI8K+MczFyRiWW3GeqZHIwImcnd/50lQcxaqKXElDMibi4VL6wNd2fucTmTBpiHWJGUuF0NQsKJqFaIjHZCYCSeC64vgHwXPMniKg4yIKLGbHo9hu6f4LkzHYjouNXAOG5SAi8Xi+WQnO0JmxCOoJE5WGAVlkMZkJB7YKAExmwgMlJLb1AUWzMD8exdQRzs/O602NhImeRbjyOI6L9VwDhukgHZf25Bp02rWJqIjRlIxSSzedn4hgPafs5uZ0TJajKApLU3Gs7dQBADPjkTNrKnbUPeDRaglrOw3EQjw+2Tq721i2v2eZtoPRhLxHt680dOTKKjiGxsxY9ER6BbHtCITzgecZvHwzg//+/RegKAr/28+fXx74SfiZV6bwH/7kEQzLxmv3xjB+iaejEK5IEcebb76J5eVlfOlLXwIAZLNZ/Oqv/ip+53d+BwBQLpeDaRzb29sYHx8/9rUoioIsn1/w8el6BU0DAM1hYSqJB0vpoPv3cZiXZcxP7T5+vFpGvekHkzWLAscL4FgG2VIT77+oAgDqqgNBqB84gvM0WMvWUVddADSyFQvxWOTYTlYC4brxZLWCH36UhaL68m07Ln7h07PHTuRKx6U9hVQLk7E9o0mfrldQV0ys9ziK5idimMiEMdGRBC0K7KEBjl4YhsbNmcSxPgOBMExqTQv3F9O4v+g7xqdGwycaISgKLO4tdCdPvNiqBQlfjaaJhzcyiLS6RxFOh4ZqYnXbdza9+XEOHjzEwwL+8p1N/N9+bulEOhiB0Et7SsfDG7sy/cc/WEYqLsKpuFjPKZgcacJx/WDeX76zGXSI0N618fXPzp/X0gkXmFhY6LqnCJcP3bDxYruO+YkY5idiSEQF3Jj29V/NsPHBi2LQWe/D5RKKVR0AUKxqyJe1INFSUS08vJEmHZ0IhAtATbnakzhkkcPN6Tger1Xw3rMCfuHTs+e9JAKB0MPTtQoMy++8nI7LmB2LgqIo1BUT+YqKkYQf/2AYGvcWUnv8E0dlJCkPraBLUU384L2twBYyTAdf+8zcUN77KKi6heeb1UAPc1wPS1PxM18HgXDdico8vv7ZeWRLTaxnG6g3TdSbJhanYntk8vlmFYpqAQAUtYKHNzLHSrp64/0dZEsqAKBY3cIv/8wi7rQmkQ1Crqxip9gEANSbJgSOQSq2G2uZGYtiZux0CysS0cOLTQiEo6CoJla2awAQ5BkcpUBIFjk8WDy46OAislNU8OajLADfD0MB+MxLEyhUNGzlFQB+Y7yp0XCgX/UjfIw4T6PnO6cA/Owr0wO//rJ+54S9MDS1J1beL45/VowmZYx26P7PN6so13x/5V++swmO8aeJFatb+OXYou/z7Hj9xyslGKZvqyiahZdvZA5NBG/rA8eh0zZSNAufuJkhE6oIV5r1XAOFigbAPz/uLqQOPINmx6KY7dBND8rNiUcExCNnH486yh6wmWvgrUd5AP7ZTdMUPn1/N4d0ZbuGasP33TaaJh4spoNCR9208XyjCq/DD0BylQiEy4fjOPjwRQmTI37B17vPi/jCEfToi8LqTg23Zv09yDAd1FvNLQiXk3Np12wYBv7zf/7PePHixVDe7+/9vb+HH/zgB/je976H733vexgbG8O3vvUt/OzP/iy+9rWv4T/9p/8EAHj//fdRLBbxyU9+cijXPQ900w7+7XmAablDfX/N2H1/1/WC928nfrdp9Dw+C9rGWpvO74JAIBxMXTVg27v7hWrYe2Rq2DitPcRsXddxPLied+rXJRDOA93oPpNO4z7vvIavAxBZOm069SLdtGE7u/tZU7POa1mEa0RTs+G4HjzP1811w4Zm2FB1M0haAvzgAoFAuJoYlhMkBwKA3qFjGGb37yqt4EKbqqIH/+607wkEwvlSayU1XeXpOO0CwveeFc95JQQCoRfX9YIkJQDQdAtux/TyXv/GRaOp2122UFM7+zgFsFdHI/5OAuF80XtkUOuzl+nG7nNc14NlH09u6+quD8bzgOYR46W9a+tdO4FwGem9j69LDL+hdvtk6639QDPPIl7Us+9dk++ccPnovP9V3YHTirN5np8g3YnXk0dg2y4c18Np0Wsbnfb1CISLQO/5YVyz86O+J/ex+yzv3IM8D117hGE68IgfgEC49Gim06Of2DAvoTwrWnf+2FF9E4SLxbkUcQiCgN/5nd9BqVQ69Wv95m/+Jt555x185StfwW/91m/h93//98Gyl7drcmfFPENTsGwHlj28RIzO9w9JXDCudCITgsDvduycP2TsYhvHcVFtGGhqJmqKcWDxh6rbWN2podrQ+/4+FROBVtE7y9KIdwS7XddDTTG6ik1U3UK1YZyaoVWoqFjbqXclxhMIh6EZNioNPUgEPivmxqOIyBxAATQFTKbDiLW68uqmv6Z+QYtcee99PqhsMTSFZFQE4MF2XIQkDgxND9T5Q1FNrO7U9hSQtfE879A9hUA4SxJRMegEQ1Fo3fuDM8jekOno1CSLbDBec6eoYCPXgOtejvNIN9p7zumtt6YYQcevkxAPC2BbHflGklKw90TDPBKRq5t0B/Tf/wmnz/ONCj5eKcFxHOimjVRcBENTYBkKPEuDZWhk4hLiYRGxiADdtKEZFtJxqcuReF3JlpqXaj8kEPqh6hbWOuzikMjCcV2ohh9MyMQl2LaL5xsVPFkvwbB2nXQLE1GYlgPX80DTwPRoJEgQ6rTvCQTC+VJvTeK4ytNl20Uc7z8vwPNIAgSBcN7opu93r9R10DSFZGzXZzE1Ggkmdfm/2/XbWbaDSkMPEjEP88eZpo21nTqKVXWgdTVUP2ZwlH0iFRURDXHQTRum5WD2CF2+h4WimnBdDxy3G147r07HBMIwsGzXl/ULXsR1EKbloFTzOwrTQVyim3R892chiQPH0Kg2DKi6b2vpA8Zu5jv2nUiIRyp+tElDqZiEdoNvmqYCH2O/OGcnx9kzgd1YS2/CGoEwTGJhvmuyTTq291w8KBY5KLbtYiPXQLbUPPB5vTpML6puHSjv/eStn4xOjXTnTyxOxqDqJpqaGRRV7LcnnZTe7zxDdJFrz2G6umbYKNU0FKtacPYBQFM73ZyaTj15eiQMnvNlJhLiu+KeAEBRlJ8TBEAzLKiGtSfBvNrQsbpTg6p3/7wt184RcjB6baN4RADLnEsKHYEwVNp5ep2y3qZTJnmORjQkHFvPPCnHyRk4qe0yMxoB3z67KWBhsjv3sfP7EQUGYYlDTTFQUwyEJQ6iwPR97iC4rq/H7BSVvr8/LEeKQCAMh7DEYzITRl3xJ3nOjkd394VLxPx4FMWais18A5LAHtk3cVHYT7e7bpxbBH96ehrF4ul0Y/ve974X/DudTuPf/Jt/cyrXOQ8m0mGEJR6lmoZ8WcWLzRo41h9r3jZ4TsL0aATREA/bcRGP7CakyiKPX/rcHLYLTURCQtcIxP1wHBcfr5ah6Ta2CgrCEodYWMBYSt4zCljVTfzpG6vQDAcUBXz+4eSeAEwqJkHkWeimjYjMB5/X8zw83aigrviKzORIGBxLY3W7DgCQRBZ351NgDhmzeBQ+eF4IugkmIgK++vpckORJIOxHpaEH4/V4zpfbdpD0tMkkZPz1n1/CRk6BLDGYHomC5xg0VBNP1ipwXQ8sS+PufBIi7x8N7z7N48MXfrFdMibiK6/NolzXsbrjy5YssrhziGzRNEBTFCbSISTjEm7PJhGWuAPXWqyq+M5P1uE4/pp+4bWZrnHiAPBsoxqMMRxPhzA9Gjn2d0MgDANJYHF/MYWmZkESdgssBqFS1/Fsswp4gMAxuLuQ6nK+t5nMhBGWOP+MDgugaQo/+TiLp2sVAMBYSsaXX5sd1kc6FWqKgafrFXgehqq/dPJis4pSazRzJiENXHjaD55j8GAxhXrThOU4qDf96QcsfbXP/PeeFfDBc1/Pae//RM85ff7or17g45UyAODHCQkPljKIyDzGUhJSUREct5tYxTAU5sai0FuBF8Ow8cHzIm7PHX7OXlV++iiLx6v+fphJSPiF12ZAX3FZJVw9aoqB7765AVW3wNAUXn8wHiQU2LaHcJzDSELCn7yxih9+uAPLcpGKi/jSp6aRjEgoVjXMjEXgOC6ScQmeC7ieA0lgcHsuGdj3BALh/PA871pM4rg9lwDPMag0DKznGpgdO/skawKB4KPqNr79xgpUwwYo4HMvTWBxMoZUK5kwHhFgmA4UzWolJPh+QcNy8NFyCbbtgqYp3JpNYKfYDPxxoym5S7ZN28Wf/mgt6Kb7yTsjuDOX2ndda9k6ciW/2CMRFXBjOjHQ56FpCnMTcbgewLMMJjNn6xPcLijYzPsJF7LEYnokDIFnEZGvbmEe4WrTKesUBdyaTV66QtMfvLuF1Z06LNuF47r48muzQYyjk5mxKGJhAbbjIiLzeLxW8YveKSAdE1Gq6QPFbj5xawSZuATdtP0ksCP6zKIhHvcWUtAMGyGJg8izfpxzvRI0pZkcCWMyEw5e4yd7+Unr8YiAmzOD7ZnVho5v/2gNtu2CYSh88dWZgeK7BMJR4VgG91t+dIFn9/gnFdXE43YskqFxdyHZV04PwnVd/Pmb6yhW/YKtuwspvHJrZM/zdMPGxytl2I6vw9yeTSDccU6X6zqet+MxPIN7C6mupO1+OkqvjE6NhDGRCe/JnxA4Gv/jr1Zh2g48z8Ord0cxPx4L9KthwnMHf+eE68fzzSoq9f66ermu4+l6pdUAycPMWASLk3F4ANZacf+QxOHOKfgPR5MyZJGFaTl45fYIcmUVmm7te4YuTMZAUcD33y6BZSjsFJv4hddmkI7L2Coo+Iu3Nvzzmmfwtc/MISr7uVMvtmr7yvVBtG0jD7jyzdsI1wPHcfHxSjnQcxcmYl3FBpmEBElgYFgOoiEB2VLzWHrmSTlOzoDZsl2slu1ycyZxZP9qWObx9c/MIVtqIhYW9hSTjadDCEkcLNtBLCxgLdsIdI90XMLd+RRqigGOZY5sN33vp5tBIeqN6Tg+fX88+F1vjtSXPzWN9CVNyCYQLgMcQ8HxXMADuEuaTrCerWN1uw7X9QvOf8meBy5ZTs9mroHvv7MJr6XDfbWl211Hzu0v97f+1t/Cv/7X/xqK0r/CkLA/0RAPx/FAtVq1WLaLcr3/9IrjEAsLSMWkPYnZsshjaToxsIOvoVrIFpv4cLmI5a0qKq1Oorny3k5cqzsNaK2xbZ4HvNiq9n3PkMQhFZO6lDfNsIMCDgDIldSua2i6PfRK1WebteDflYaBYqvDD4FwEIWKFozXMy0XlVbQ8ySs7tTww/e38XS9cuhz4xERD5bSWJxMBDJUqGhwW501bNsNnDuAnwjdplzTUWnoXbKlHiJbjuuhWNURlnnEIyJcx4M0QPXqi80aHGd3TS+2al2/NywnCBgD/fcUAuE8EHkWqZh0pAIOAMhXVKC1N/Te370EZ3TL+dgpp9mSippy8n3lNOncB/1OGcNdr+24QQFH+3ruCbsHcSyDVEzCVq6JWEhAMiqiXNeHvvbTpNrQ8aMPd/D2kzzMAbqZvNioBv8u13SUhqhnEvbn8Wo5+Pfydi3o0i0JPFiWRjIqQhY5P8hh2NAMG2GJQ1jiUVUMuK6HQuX6nonPO/TzQkVDTTmbTjUbuQZ++P42Hq2e/pRJwtVnq6CgVNOwmW9gs6Dg45UyKnUDDE0jGuKh6BZqionlrRosy9/Pqw0DxYqOpuZ31YqGBIRlHkprDHhI5GBY7lCbGhAIhOOjGXbQXS52yRIkjwLHMrg7nwTgFwgTCITzYzPf8As4AMADnm1UQFEUElERiagIiqIgCizScakrwbBc04PJjK7rYbugdPkr8j3+uJ2CEhRwAMDzDruyH52vr9QNmANOFlQNG7phYyIdRjouIVc+uBP3sMl2+kY1G7LIkQKOK0K+NZH0IN+aaTlYz9axkWuc+aTt06JS35V1z2v5KQdEN228+XEWP/5w59y6xdq2GzSd4lga1YZ5YOC77Vtt6lYwtRAe8HS9eqTYzdRoBEvTCfBHTEJvI4tc0LgOaMU5O/bQ3phH5+Nqw9h3ukAvy9u7U3Ydx+vyJRMIx2U/X3Pbj96vmKBQ7YhFOi7KtaP7mysNI0iiBPyE9X6U67sTNlzXQ6HaHcPPlzviMaazZ9/P9egolu3skdFOfaAzf2J5uw6zNWmEoiiUavqpFHC0Oeg7J1wvLNsJYvybeQV/+fZmUJwB+Oe7ZtgwTAeW7aKp2ciV1S5duqlZULS9XfuHQUTmkYpJYBkak5nwgWcoRVEo1nRwLA2KouA4XuD7f75R2T2vTQdr2/7P82XtQLk+iLZtlGzZRgTCZafeNLv03H76fbglkxxLH1vPPCn5itqVM3BQfkSbcn13aofnYc8ZPyhh2T+7ews42kRDfGt6HtWlexSrWmtikHTkAo66anZNEuvVY/bkSG1250j1ctTYP4FA2EXRTKxmG0hERCQiIp5v1WGax58WeF68+7wAnmMhCiyqioknG+XDX3TBeLZZRaGiYSPf8P1y2wfvfVeZc5vE8fz5c1QqFXzxi1/E66+/jkwms0cp/sf/+B+f0+ouPnxPGZgw5C7Ww0C3bLz7rADH8R2eDENjbjzWt3o21JPwepQEWI5lQNNU4PzhORo8x0Brj9mh0Lej+UmQBRZq24il/A7sBMJh9N77J5XbzVwDP3h3GwDwYqsGzwVuzR2tMr53L+l8LIlcUFxFte5znqOhte0n6uDPwNAUWJYOggQsQw/UvUPucTb27g8sTe2ReQLhMtO7NxzlnpYFLhiNzDBU1+jui8hBe84wYFoTCtpODo4dbN8ZBElkYCqde+LlCIyYpo3v/GQdRsvwLNd0fPm1mQNfI4lckORDUf5UM8LpI0kcmq2ka55lwLc6PrIM1dX9UeCZVgADQTep9v8vok1wVkgCi4bduR+e/n2bLTXx/Xc2/QDRFuC6wL2F/bsNEwiHwdAUVnZqsG3/HNuUGxhLycG5JrAMBJ6F2HHecwwNWezW0xmGhtDhXyH6MoFwcWgn/vAcc6rJPBeBhzcyePdpAe89LeKbX1g87+UQCNeWkHQ8v3uv/iAKDBpqpz+u2/YISSxAIUieOsxm5lm/8yfQnjY4mL7Ct2yhdrLHsKd7HobAMYGvkzqFuAPhfNgpNrGRawAAchUVd+dTexJiXdfDo9Vy4F9RVAt3WgWLl5mTxCy+99ONIBF7q9jEX/uZhTOfiMmyNHieCRIueJYZaJos3zNlozcGcdb+Fa5nb+u9vsAxQTIeTVMDdxcPCb1nwNXWPwmnz3F8zUCfveYYcQxJYLrkRN7HnjpsX9sbj+l5foeOwjAUaJoGx+JAGW3TK3O9ewuBcFrQtB8LW92p4cVmDSxD46/e3QLL+kUTAseAY+hAX+dYGjxHwwOgt3IBQOHI06VOi17ZCbXOr15bJiT5SdSXIXeKQDgrDjvn9j6fDvYBmqb8veIMOOo6gf468mlCt+Kw7eJQlqFx3LQDkaW7chik3hzJXt/NAQWaumnjz36yHthA1YaOL756uD5GIBB8pFauRbsoTOQZ8Bc8z6ofYZFDU93N6UlGpUNecfEoVlVst6ZB+YWEl6+YZlicm7fmP/7H/xj8+8/+7M/2/J6iKFLEcQCTIxE4roemZiHZ6pp1GI7rYXW7BkWzEA8LmBmLnGo1uW7YiIV4NDUL6bgEgfcTSxzHxQfPi5gaCQfrnh2PotLQsZFrIBYW8MrNzMDX4VgaS1NxbBUUMAyFubEoGIbCyrY/Ptkf0bir4LS7CvAcg/mJ2LEUu88+nMBPPtyBbjq4PXf0EW2E68n0SBiO40IzbKRi0onvm97K8kJVxS0crYhjIh1uddywEI/4XajafO6lCfz4ox2Ylot7CymEZR7zE7FgNPlYSj406eTmTAIb2QY8eJhIh/B8swpVt5GMiuBYGvmKCp5jsDCxW+B1bz6JpmahUFExkpBxp6cwhWFo3JiOYzOvgKEpzIxFjvSZe7FsB8tbNeimg0xCwkQ6fPiLCIQBcF0Pa9k66k0T0RCPufFo33N3etQ/03XDRjp+tL3hZz4xiZ98nIVtu3jpRubII8iPgmbYWNmuwXZcTGbCXfvFoEyORGA7HlS9pb9EDtdfjgJFUbg1k8B6rgEKJ98fOvnCy5P48Uf+d31/Md0V9Oz9W8+ORYc+cvq41FUzCKoBGKjL2edensCPPtiGabm4O5+6tiMLz5q/9jOL+POfrMNxPbx+dwyP1svIl1VMj0bw+v1x5CsaOJbG3HgUHMtgaTqO7UITIs8gJHFIxiSMpUIDXauhmljbqcMDMDMauRK67M9+Yn8ZPS0KHZOUAL9z0D2QIg7C8YmGBaQiEmpNAyLPIhrmcWM6gfefF1BtGJgaCYNhKHz19TnQP15DRTFwdz6B1+6NgaaoLj2dZWhfX2YojCZlPFopw3IcjKVCGOnpMOU4LlZ26oFNMDsWPadvgEC4+rS7QcbCV1+/engjDQD4cLkIx3EHTtAmEAjDZTITxsMbaaxlGwhJHF69Mxr87iA/eSomQTNsVBsGQhKH6ZEoEhEJm/kGaGqvvZ2Oy/jU7TE826xAFlm8fn/swHXdmIljPduA63lgGBofvihCEljMT8QOLIzgOQZLU3FsF5tgGQqz42ertyxOxrCarcNxPExkQl0F951sFxUUKlrrM0X3fR7hYtDonCLh+Z2oe4s4LMft8q8o2vlMnhg2yaiIyZEwKnUdIYnDRGZw33i5Y3KrqllQdRvhPj4kz/Owlm2gphiIyL6PdJh+s5/9xBTefpyHBw+v3BoZqJAkJHGYm4iiUNHAczSmRyLYKignit1s5Boo13WERA7zE9Ej6T6dfp52nLOTpek41lp7z9RIeOAijltzCdRUA7lSE6mYhPsL6X2f6zgulrdrQfxmenR4flXC1eE4vmYAGE+FYFoOmpoVTMQ5KrLI43MPJ/DRixJYlsan7+3VNdpyaNoOojKPaFjY4y+dGYvA9TwYpoN0XNozUWs8E8JPH+Xguh4e3sj4jaPovTKaLTX3xDhvzSVQVw1kWzL3YHF/mSMQhglDU7g5k8DTtTIEjgl8DoWKislMOIhD0jTguMBoUsZcS48+LO6vqCZW+8QSqg0DGy3bYHY8uu9EGNNysLxdg2k5GEnIA8Uw7swloKgm8hUVmYQcNE56eHMEhumg0tAxORLBwmQMgJ9r5HmAYfly3U8fIRCuC516rsAxe3z9lu1gZbsOzbCRSUhYmopjPdcI9MzT9N+tZeuBj2FmNAKnnTMQExGPHK5/J6IipkbCvs59RNvlOFAUhZuzu/lOM2P9cz3a2I6L5a0aNGOvPs3zLL7wcBLvPSuAYWh86u5o12s7c6QyCRn3DmgY0GiaXVMDiseYcEYgXGcYhsHr98fwRz9YAU1R+NKrl7MB1d/46m38lz9/Cs2w8en7Y5fSho+GBLAMDc0wEY+IXU0MrxvnVsTx+PHj87r0lYChKcxPxI70mp2iglLr8M6VVUgiuyd5Y5ikYxKiYSEooLg5mwBNUzAtF7Zj4/lmFS/fHAmCMi/fHMHLN0eOda14RNij1N2c2ZvMrupWMDpSNxysbtdwa/bo3ZKiMo8vvzZ7rLUSri8MQ2NxKj609xtLyfhopRQkD46lji7P9AF7SSws4Cufnuv6Gc8xfWVrP8ISF3QkW9upB6NcV7ZrsGwXEZn3ZXGnHrwvTdN4/f74ge8bCwtDSzj1A0h+0G0zpyAi83uctgTCcciVVRQqfrFVwfQD9/2ckyzjFyMeh0RUxFdfnzvBKgdneauGZmsK1YutGsIyf+RCSIamAqfqaRGWedydH34SdTyy/3edrwz2tz4PomHRnyDW6taXSRweIIvK/J79n3D6TI1E8He+cQ8A8NNHWeiGg2hIQE0xUa4ZeyY8tEd8Hodn69Wgc8yzjWoryeFiFB4dl4Nk9LQYSYZAUcWgC99xdDECoZNURMDMeASG6d9LE+kQWIYCzzIYScgwLTewYf/ff+3Bntf36ultffnRSjlITFvdqSMi813TJLeLzSDxIldSERI5pOOXr2MLgXAZqLUmccRCV9/mXJiMIyJzaKgWHq9VyLQqAuEcebCUwYOl7qZJvX7ytQ7fXJupkQimRnYDgNHQwfb2rbnEwFOCZZHD7bkkaoqBJ2sVAIBhOtjMNw6NeyQGbGp1GogCi9uHxBPqTRObOQWA/5nWso1j+30IZ0MsLKDa8P3WFAVE5L1JiDxLQxLYYBpC5Aqd5ZOZMCaPkQCVjkkothpNRWR+32YK+YqGfFkFABimBpFnhppwNZqU8YufnTvy60YScleM9CSxm1JNw06re6RhOuA4+sjF8Qf5eaQB9p79eO3uwUV1bTYLShC/2Sk2/YYh57TXEi4ux/E1AwfHIo/C3HgMc+P936dc1wM55FkGsX2aVBwWj9nKK0i3ikxyZRUTmTAYmuqSUUWzsJ71Jzj1xjg/NaDMEQjDJhri8erdMfzko6z/AwpBnKp93/e79w+L+z/bqAadqp9tVPGJWyOA5+H5ZjWY0vd8o7Jvns/qTh31Vhx+PdtAROb3TAvshaZpfLpPrgDP0vj8y5N7fs4yNJam9342AuG60qvndrKWbQS2z2ZOQVjij61nHoViVUOu1LYJHAgcc6ycgYlM+NSLNzrpzHc6jI3c7ne7U2wiLHNd+v3UaART+yRZD5Ij1SYW4iEJDLTWBJUMieUQCEfCtl2sZRu41/JxLm/V8eol1OEn0mH8w//nK+e9jBPBczRiYR6xMA+KOt7ExqsCmZt6jWgbV23snsfDJizz+OqnZ/F8s4qwzOHWTALvPC0Ev/c8v7PLWY4c7/0Oeh8TCJeJ8XQYP//JaWwXFKTj0lAcoKdJp7w5jgfb8fr+7qzp3QtN6/qO5yIMF8t2eh5f7jOn6/N4vuyQkcQ+vX/bi7SP8CyNr7w+i8etDkx35kjy3GWgd1SkalhDe2/X9WC7btdj1/NA43IXcZwHo0kZX3x1Gpt5BamYdOpFaoSrD8+z+Opn5vyueTyLO7NJNPVu+TePoU9YTs8Z7hxsF192nYVAuMjUW5M4oldgCtZhMDSFV26N4vvvbOLNj7OkiINAuGBcFDvWtK6eHtLrDzrtOAzh5IwmZbAMBVW3kYgIXZPd21AUhdtzSeQrKigKGE1ejOYd58kXPzmFj1fLcD3g9mxy3wkYV81H2o+rYFNdlHOBcLG5yL7mPXJoHU8OO30mruvBdV0wdHcc5Drsa4TLyc2ZBFiGRqmmYWokfOJmY57nwdojEx48zwsKOICDZeAqnJEEwlWi1z7tPdNOi+uwF5zVZ+R5Fr/w+lwwfeki6WMEwmXAdV04HfmKpuPAtl2wZ5i/TPCZHo2ipphQNAvpmIho6OrHzfaDFHFcI0aTMsp1HY7jQdEMPF6zoOoWlqYTcF0PpZoOivLHJ9M0hXrThG7YiIZ5iPzurWI7Lsp1HUyrW6/rAqmY2Ld7byIq4lN3x2DaLp6sV2BYNmhQoGkaiajQdyRjPyp1HZbjIhkVBx4T3I92ZX9TswAKGE9ffEd7TTFgmA5iEYEky14BtgoKaoqByUz42JMkVrb9EXxz47GgS1a1YSBfVpGICuDY071PKg0dumHD8/wqyGRUPHBsYJvRlIydYhOaYSMe5pESWD9JlfI7V5dqGgzLAQVA5Nkz66g3mpLRUE14HiCJLOIdf5dKXYdlu0hExTMtOCNcDTIJGS82qyjWdKRiIiiEUKppA8vMeWDZDip1AxxH7+n8NpYKBd2lYuG93fVU3UJDtRCWuKCLTq6soljVMJaSgxHpDdWEqtuIhfiB9YBeqg0dW4UmUjHx2E7otj7DMfSJ95tMXEKhosF2XLAMjcwpTjo7DmGZx6t3Ll/3gMuIadp4sV0Dx9JYmIiBpulAz6ZpBPLvuh7KdR2m7YCmKDiOC5ZlArm4NZPAZl7xi6V4BpOZMD5eKUESWMxPxLCyXYNu2pifiHXp6YNA0xTGkjKyrY43mYR0Iv36MtPe83iOGWhUcz/G02GMp8+u6w/hcrC2U0dTtzA3HoEsHq1Dr6bbEHkWksig3NCRiIgIyxwU1bdhx5ISnm9U4DjAaFqGYfrORY6jIQssmroNWWS7JsuNp8JY2akBXssm7klKG2n5ClzXA8/RSMX2PxcNy0GtYUDgmaFNxiMQrhPtKZDXYRIHAHzqbquI41EumDhGIBDOnvb5bTsuGIZGWOJgWA4s2wXDUKBpqstP3raXWYY+9S7siaiAnRID3XBaifHd9nTb/k9Ghb56d9vvIAoMIhK/rw/PcVyUWjGNtn/C83y7zHE9pGJSEO84KfGwAElkoem2/5nIxL5LQSomIXVIXT7H0keeWDGobVCqaciWVIwkpAvnV9oPnmf37brdSTouIV/RYLf2nEE79w9CpaHDsnb9947jxyJrioEb03Gk48P9Lvfza6ZiInIlFYblgKapPXvZSencrxIREdWG0RXPHQajSRnVhgHX9SBwzIF2IeHic9j52eY4Mehh+Zo3cw3UVRNToxFE5ZPZR4blwO5IvqJp6sDz96Brj6VCwUSPdFzqG3ONhoQ9+Qa6YaPWNEFRfiPLkMQhfMi0gWHRvnavP4hwuVBUE+u5BhzHw2hS7tJrXdfF8nYNlu1icSIGvicm0NQsKJqFiMxhYTIWNBva79yqNgwomgkKvkzv5+OjKArjHTKRSUjBmlIxEaXWZN+Dcm7GUjJebPl+yZDEIXoEf0i/HCbC5cFxPZR7YmOE82c0JSNXbsKwXKTjImIhHqWaFtjF8DyUDvAHKJqFZmu/kUWuQx8XwNA0ynV/X+iV2VRMRK7chGm5oGkKIyfUl9t5Ce11XATGUiHUm6avT/MMEhERy1s1GNbx4rkHET2BPmbb/pkCAAsTMZK4TjgyB+UUXQZ4nsVEWsSf/nAdFAV843Nzl1YOOvNH95uOepEZTcpY3mJh2S4iMn+t/RDn9te7ffv2oUrao0ePzmg11wNZ5PDSUhprO3V8/50NuC7w5sfAl1+bRkjigzGG5bqfKLLSOrRZhsa9xRQEjoHreni0Woam29guKmAZGiMJGcWqtu8IMdd18Z0fraLSGhs2kpTw2QcTCA/oRFjP1oMks2ypiXsL6WMHVGiawp05v5spx9DHTh49K/JlFautsfZsnsb9xRR4UshxaXm6XglGmL7/vIhf/MzckROf3vw4iydrFQDA47UKvvHZORTrOjZzCgBgq0Dj/mL61AoOtgoKNnMNbLScSDPjEYylQgNNATFbAQyepwEKWJqKw/E8cCyNnWITuZKKtWwdNE1hejSCyUwY0/uMExwmiYiIl25kYFoOZJEL9peNXCNwSu2Umri/kAJzTZNcCcejXNexkVdgWS42cw1YloNEVEIlalzIsb624+Lj5TKMVpe1qZHucaRjqRBiYQG24yIscV16nKJZeLRSgucBoIBbMwnUmya+/84m4AEUBXzl07OgaQovNn39gqYp3F9IHfksrtR1fPtHq0F1/OceThx5EpHjevh4pQS9NWZ0PB060X4jCiweLKWhGTYkgSVFX9cU13XxZz9ZD0blZosqPv/yJJ6sVdBQfT27Lf/PN6soVDSs5+pwHBcAhUxCRiom4v5CCpmEjG9+YR41xURIZPHnP92Eqvnd+P/X+9tAqznEk7UKvv65BfBHvOdmxqJIxyW4Hs4smHjRsGwXHy2Xgs6/06ORS1HgTbj4vPMkj4+WSwCARysl/NLnFwZ2zq/u1PCD97ZRrukwTAefuJnBxEgYt2YSUA0bHEPjhx/sYKugwLQcGJaDqdEwaoqJ0YSMWtPAVCYCmqawOBULEhQzCQkRmYPluAiJ3J6AZ1ji8PBGGprhQBbZfQu7TMvBRy9KQVfKuYnovmPZCQRCf2rNVhHHNSmC+uTtEdA0hfVsA9lS88RdQAkEwtExWud3taFju9TEaEKGathIRgTwHAOOo3F3btc2d1wPj1bK0AwbgJ/gMTsWPbX1sQyNewtpqLoFnmO6EkirDR1/+sNd+//1B2NYmkoEv9/INfD9dzZRVww0dRsv38hgJCnv8eG1Yxqq7n+mhmphbjyKle06ilUNAFCoaLg7nxxKYhHD0Lg7n+r7mQjXi0Ftg1xZxZ//ZC3wq/3cJ6YwdQZ+8bNC5Fm81PKbifzw/Gab+Qa2C7v++3vzSfzFO5t453EBrufh3ScF/PUv3hhaQUWppu3r1+RYBvcXU1ANGwLHDD2O17lfvVXLBYmQ5bqOmzOJQ149GBGZx0tLaRiWA1lgSSzkEnPY+dnmPGPQH6+U8PbjPADgw+clfP1zcwPnDfTS6augaN8HMpkJ7/tZuq69XMLXP9N97enRCFIx8UC/KdOZb8DSgOe/l6pb2Mg1MJqUEQ0LuDWTOHXbTzNsfLRcCqYiLE3HT70IlzB8VN3Gn/5wFcWKhrpqYm48ituzSdxbTIFlaLzx/k4gr883qvjFz8wHyYY1xcCT9UoQi7szn0JY4rrOLYahcG/eP7d2ik2sbNewlq2DAoXZsQjmJ2P72uv7ycTiVByjKQs0hQMTqFMxCSGJg2X390sexNONSlcO07DOPMLZ8LRPbIxw/piWC5Zh4MFv2PxiqxY0ncmVVcDzoLXi5yNJGXPju/6AasPA0w1/v6FpComIEBRz7RR9/4Ki+rHMYk3D7dndHEKeY3B/MQ1VtyEJzIka0zZUE49Xy/Ba+97tueSFKGKMhrr16Z98lPWL2AA8Xa/ilz47fyESxb/703UUKr5tsZ6t48uvzZ7zigiXicNyii4Lf/LGOvIVFQCF//G/1vEzr1w+OeiXP9pb6HvRKVQ07BSasF0PpuXg7nwKiej19KOe2+nwa7/2a3v++xt/429gZmYGk5OT+LVf+7XzWtqVhmMZbBWbcDumdj1a3TV+AF/xKtbU4LHtuMHvddOGptvwPA+KagVKd0M19x2zpuh2UMAB+AJ4FEdMu1IXAHTDgaZbA7+2HzRNISIfv/v3WdL52W3HDb5vwuVkPVsP/m3bLraLypHfYyO/+xpVs1Co6SjXdu8Ty3ahaKd3n5Rr/mQK3XRgOf7/Sx3XP/C1dR0cS0MWOAAU6qrpyyLPolzXoZs2LNuFYTqwLKfr/j9tBI5BROa7CsQ6r2+YDtRW8JpAGJSNXAM0RYFlaJi2i0LVv6fKjbO7t49CU7MCYwsASn1kUBL8Tk69SQ2Vuu4HmgHAAyoNA2vZepBo7nnAWrbeJVeu66GqGDgq7U5EbdqO66Og6lZQwAGgax89LhxLIxriSQHHNabeNIMCDgDYyDdg2U6X/lZu6LAdF9WGAc2w4DgeynUDruehqZldciGLPMbTYTR1OyjgAIAXm9Xg34pqoVzTjrVeWTy7bnAXEUUzgwIOAGeqdxCuNuu5RvBvzXACZ/hAr802AA/QTBuu56FQ1aGoFmzXC2zYrZYNoZs26k0TlZoOeECxqkE3HJits7z3nhZbZ/h+gVKOZRAN8QdO5qk3zaCAo981CATC4dRa5/xROk9eZsIyj7utpi8/fZQ759UQCNeTumLu+pU9/zxvNE00dRsURcG2va4kAt2wgwIOYDj28mEwLX99b7HDRl7psv83st2+1LUd3++gGQ5c10OxpvX14emmHRRwALufqVOXaWoWDLN/fGOYn4lwvRjUNljP1rv8ahsdr7sqsAyNiDxcv1mv/77SMLCRbcBtfZkNzcJmfnjfZaW+6/Pp59dkWp/xNJLg25/VcV2UWjEaAMHkjGHBt+MkpIDjUtN7frana/dynjHozjWZtoNsqXns9+r0VTA0DcNyDpTDrmub/a89iN80yDfgWVQVXxabmgXP85tewTsbv0lN6d4HzkJ3IwyfXLnZpccWqhoMy/GnvcCPNbSpKWaXvFYbRlcsrtK67zrj947jBU0lynUdumHDcTzYjgvNsA+N9e8nE2FpsA74In+wX7IfnTlKwPDPPMLpYlp7Y2OEi0G5tpuz47oetgq752C1rgd7Rfu5nVQaerDfuK7XY+/YfhFIi7pitprY7cIy7Vj6yfTlzrwE74zO20Hp1Kc3Crs+jEbTRFU5/3Wapt1ll2ZLKkzbPeAVBEI3g+QUXXSyZQXFmg6a9if45SsqFOXy5eP25o9exr/F2k4dDEND4Bh4Hobqw7lsnFsW+6//+q/3/blpmvjVX/1VJJP9pzoQTs5ovHtUcSYugefoIIlJ4BmERA6NZitZjAKk1sgdnmPAMBQcx/83y/iGFsfSYOj+Tj2RZ8HzDMxWEOSogWpZ5GBavjOUpikI/PUJfEgii3pbSaYw1PFqhLMnGhaCqTIAjjVWLB7mg0ROhqEQC/G+U6cViKQoQDrF+0QSWDQ1CwxNwfE88CwDacCCKFnkugIdna+TBQ6G4YCiKFAUwLL0wO97WkgCGwRvaZoiQVfCkYmF/fOOpv3gfUjy7+nzvrf3Q+CZYNQ3cLR19o7mkwUWiYiIVewWWCSjEgSe6doHjjPetLeLVPwYnawEjgFNU4HDV7qEowUJFw9ZYMGzDMxWYXNU5sHQNDiWDoLrEu93uBd4BrzJBPodTVFBcLFX9nxnHxUEXzvveYahrnUhxkmQePbYex6BcBDxMI9Gy4ajqKPZv4mIgPVsAxzj7xthiQXL0l2FFRHZf3+WocGyNGSRg246CEkcFNUKkjBP456WBBagEARqiNwQCEenfs0mcQDAp+6M4cMXJfzkoyy+8fmF814OgXDtkET//BZ4Fg3VgsgzsB03sD94ju5qasJfIHs50bNXxiJ9Hu/4iSC24yIkcX19eLsxjdZnEnb9M+3EOJahSVMGwtAZ1DZIRA++1wn9kQQ2aNJC0xRCEodYSEC+lZTEszTiQ/wuJZFFh6vzTO2h9n5FU36MlGnFZgWeOVJCLOF60Os/32/vOc8YdDwiBNNlQJ3MPhKP6KuIhfiuaw9jn2hfs61fCfv4eU+D3mv0xmoIl4N4WABF+Tk3tuMiLHKgKARNSWNhIUim5lkGoY6/8373gCyyXU2n2s+TRRYc58cmKPj37UW8bxia2pPDRM68y0PbvgpiY8SPfGGQRXa3wIby8xnatrK/51DwWoGz3r2h9+8YCwuwW39jhqEQljl4rXoAnqNPrTC4N7/AbyJ78YiFeBRMX+fwYznn39SH51lIAhNMW/Fj28QXQhick+QUXRSSYR4iz0Bv5QNKAoNw+Pzl86hE5e780YswkeioxCMCtjoK3uLHyKO9Klw4SeJ5Hn/zb/5N/MEf/AF+5Vd+5byXcyW5PZ9CXbXwdL2CdFzElz81jWxZxdtPCqBB4ZN3RhALC3i2UUW1YaDS0PFsvYKNbAMUTUEWWbx2bxQPb6QBUGAYCpOZ8L5GE8/S+OInp/DB8xIMy0E0xOOnj3KYHo30HWO8XVCwXWyCY2gsTcexMBnDRq4B23ExlgqBpmk8WSuj3vS7+N+Yjh+q/Lmuh+WtGioNHSGJw43pRBCU2SooeOP9bdiOi/uLaTxYTO/7PuW6jtXtOjx4mBuPIhWT9n3uMMjEJTzfqKKhmpifiCJEkvQuNa/cHAEFv0PG3ERk37GkB/HwRgY7xSZKVR2jKRnPNqqYG4+CYSg8Xatgq6hgZaeOT98dw2zHaMOV7RqKVQ2iwOLGdHyPM3Yz18APP9yB7bh4aSmDewupvtefn4iCY2mYlo1sWUW9aeDmTHygtadjIp6tV1BVDEyNRBAN8dBNG9/76QZKVQ0cR+PWXBwcyyAWEjA1MtjINd2w8WyjCt20MZKQuz73fuQrKtazDdA0hcXJWF8H8cJkDJt5BZbtYDQZ2rdzj262rm/YyCS6R0oOiqKaeL5Zhe14mMyEMZ4++r1BuHjcnE5geauG7UITS9Nx3JlPgaUpTI1GzntpfRF5FjdnEshXVPAss0cG2/epZbtwXA8MTfnGWev4b0/UScckJGMiRpIyLNtBsapjPB3CwmQMpaqKH7y3hUrDwMJEDJ+8nUG1oeP7b29B0fxzfSITBsfSuDEd73LCNFQTzzeqcFwPCxMxqIaNZExs6SMHky+rWM81wNAUFloyf2s2gWypCa7PZx022VITm3kFrufB8zzQFIVUTML8RHTPVBPC5YXnWfz8q1P48EUJHEvj5ZsZ0DSF23NJbBUUUEAg/7dmE9jMK1B1C3XWBEUBqZiIpm7h+WYVM6NRZBJSoKc+36yhphjQdBMxWcBWoYmxlISpkTCebVSxNB1HRObxaLWE77+9Cc1w8GAxhc++NHGsYqmrTrVhYHm7Bk23IQgMxlIhTF3CUa+Ei8ln7o+DZ/PQTBs3phNHSkSYSIfwaLWCsMRhJCHjznwKE5kQNMPGk9UyVnfqyFUUbOebiIQEvHZvBOWagcerJdSaJmJhHpWGDs9z0WhaCMkc7i9m8MnbI3BdDysntGVDEoelqTiKVQ2SwGKSyA2BcGTakzhi12QSBwB8+v4Y/u3/+AjvPy+i3jSvzRQSAuGiEG6f3yEVmbiEkMwhJHFB52nLcfH+82Jgg3MsjduzCeyUmqAoCppu482Ps4iFBTiuh3ef5uFRAEtRUFTL9+NzNCZSYXz5tZmh+rSmRiN47d4Y1rMNyAIDVTfxn7/zBB48pGMyklEei1MxZBIyWIbCzFikrw+PZWgkIiI+fFEEx9JYmooBAG5Mx31b3fUwkQkNLcFku6hgu9AERQEUKDiui1hYwNJUnCSeXTMGtQ2WphIwTBc7xSYyCQl35/v75gndzE/E4Lo1LG9VIYksChUNv/DpWYgCi7pq4O58CgsTsQPfQ9EsvNiownJcTKRDmOixcTr9kZOZECYyIai6jWRU7Pp7ep6HD14U8cGzAlazDSQjAm7NJfFgKY2NrNJlh9mOi2frVSiaue/e4Dgunm1WUapqqCkmOJZCtqwiHhLwcCkDmqFAAZg8xKfpuh6eb1ZRUwyEJR43ZuIHTl8cFFW38GzD9xOPJmVMH8Hf3RmrujmTIM2zToHJTDg4P+MRHq/cGun7vOmRCGiKgmbYSMelM41B319IYSPbQFUxcHchiUxib77AoIQH9FWYloNnG1XQNBCRfZ2HYWi887SAjZ0GJInF7dkk5idiWN6uwfM8zIxG4cHDemutPOtP3Gn7YttEQ/6EgYZqIhriMDsWQTwqBnHg9rVV3UKy9fPnm1Vs5Br48EURLEvj5RsZfPm12SN//lhYwPxELMiB6NXFOq9NYhIXl0RUxOcfTuLJWgW6ZWNpOoHJdCjYI3/ulUm8/bgAy3ZxfzEFvhXnL9d1rGbreLxahmHb4Fk2iDuU6ho03cZ4OoT7i2lEZF/GZ8aioFs5PwCQjkuYGvH3cc/zc2rKdR2yyOHGdLxLty7VNKzu1EGBwtxEFBGZx7ONCpqahURExMJkDNlyE9uFJliGgiT4heTtmJ/nAc9b5+54OnSgb5GiKNyeTWKzFVvZ78zrzC1anI4P1PSqphh4sVWD63qYGYtg5AR7EKE/NE3h1mwisIsuamz8OuC4Hp5vVPz8uhCPxYkYKArQTQeZuIS3HmXxX//ncziuh597ZQo3ZuJ48+McOJbG1z471/Veo0kZrutB0SzEwwJSMRGbeQWm7WAkIUPVLbz1OA8PwCdvZbpe67oeXmz5OYi9OXuDsJatI19WIfJ+vtPMWCTwM2YS3bGOk8h4p547lpKD/fE4fOHlKbz9OAfTdnB3PgVFM/HxSunAHKXjcNje3cuXPjWDd54WAACfuJnZ93kEQj8Oyym6DPA8j6jMBZOIHt68nD6YT9zK4Ns/bEI3HLxyewThS1jEMZmR8J//rIBK08DMaBTjqdPNw77IXLgiDgAQBAGFQuG8l3Glee3eGF67NwbAV5a2C02MthSXzbwCRfUTKfMVFaWaDsd1sZFTWkFmES826/iVr04MfL10XMbPvyrj3ad5mJYL1/Wwlq0jERG6lAdVt7DZGvdjuA5Wtmu4v5jGfIejdafYRK01xqjeNLFTah6qOBVrWjBCTVEtbBeUINH7xx/sBN3233tawPx4tO/G1lZ82l3IlrdqSETEUw28bBUURGQeEZmHYbqoNPRjTW8gXAxYlsan7o6d6D2yJRXz4zF4HmDZLhTVxHq2gVtzCfzVu1tgaRqm6eDHH2aDe7xS14OReJpuYzOnYGk63vW+P/5oVw7eeZrH7FikrxwwDI2JTAi5ioq5cV8utwrKQA7W7WITsuiPVXVdD6WajhebVZRrOiiKgm17kHhu3wKS/VjPNaC1xsvmyiriEeFAg8d2XKzu1AGvbSzW+jqxWYYeqCBjI9eA1pqEki+riIeFI3fuWdmuB51ENnINJCJC0F2FcHnJllVk4jIycV8+IjKHifTFNmJi4f3lp32f1psGsiUVc+NRbOQbCEs8eI5GsaphcTIGhqGxU2xiejSCl292y9b3395qdRbnkK+oeOtxAfWmP/rZtGxs5hUwNIVMQsZ6toHbc8mO69eCji0sS+PzdyYG6g5m2Q5Ws7syv7Jdw8s3R4Lz9bQxLScY0b5TVKCbDuYnYihWNcQjwp7OaITLTSbh67ydSAKLpal4189EnkU6JqFc05GM+sZorqxiNCnDcTys7NSQiAr48UdZVOo6Gk0TdcUARVEo1nVEwwIU1YZp+c7Sle0alqYS+OEHO4Ge/P7zIqZGIl1yRPBZ3qrBdtygU99kJnxqHYEI1w+eZ/GZlwa3ldt4noeVnYavf45HQVF+UTFNU/jwRRE7pSbKdR3rOwqiIV/fXN5qwIMHw3ZhOx4U1cZzrQpZ5GA7LuqqhZBURURmQVH0UGzZZFQkZxeBcAJq13ASx2QmjPmJKFa26/jhBzv46utHT0wiEAgno9/5ragmSq1uvobpdNngYZnHDZnHRq4RdPzNV5r48EXZt+fLTRSqOiSBRa6sIiyxgAe88ySPRHR6qJ28b84kcHMmgUcrZbz3rADdsJGrqFB1G7KYRCTE4zMPDta9TMtBsaoFiZQbeQXJmASeY7AweXCC91HRDN/3CgCF1jpnx6OoNgwUqlrfplaEq8tRbIN7C6kj+8WvOyxDt5pi7PpV4hEBX//c/MDvsbpdg2H5cZHNvIJ4ROhqhrG8teuP3MgpeHgz07fooFjV8Xi1go28gppiQjdtSCKHasMMklqWt2qIR0TsFJtB9+Nqw0C+ou5p+LVTaqKumMhXNDQ1C5phQxJYhEM8qk0Dn7iZAcceXvyQr6hBF/aGagY+25OyulMP4kk7xSYSUXGgpNneWNVGtrEnVkUYDu3z8yBomhrK/XAcdkpNzI5H0bYMqg3jRBMxBvFVbBUUNDULFEVjPB2G53mgKAo/+WgHTd1GhpLw0XIJtaYRdPR+sVUBPL8gM1tsgmEoLE7GsbxVw8Mbu0mPpZruF4W24j+S2B0L2swrwfSvUk1HsaqBoii8/TgPRbMQC/F463Ee9xZSGD9GDCmTkPYksPa7drGqIRbmT71JJeF4zI5H921UKIs8Pv/yZNfP2k1M25NlKnUTsuCgphjYLirgWtN9y3UDjuOhXNeRiklgaAqzY1HMju29VrmuBzZCU7OwVVCCPJ329fzO2/6/0zERimoFr+V5GtmiCgCo6RaerVcxOx6FYTpY3anD8xCcu1t5BYmec7cXsU9spZPe3KLVVm7RYSxv1YLpAas7dSQiIpnKdwrIIkfO+QtArtyRX6eYyFc1zHTI///4X6sA5Tdv/st3N9FQjMBv+dNHecyM7j6Xoqg9Rc/tfcvzPDzbqAYFE34zut1m0MWqhkrd10v9hhBK332oHzXFQK7k7y2aYWM918DNmcS+TXNfnEDGO/Xc7UITiYh47EJXWWSDvdt2XLz9JH9ojtJx6N27N/PKgb6OeETEz39yeijXJlxPDsopugwUKyqebdTAtvanj16UoaoqZPly+ex2ik3cmPZtPst2oerWpWvu+d9/sAoXFGIhETXFxPd+uomvvD533ss6Fy6cJloul/Gtb30L8/ODO9kIJ8PzvGDMEQC4nhckdzjt/7fGp7UewnacY13LdTsv7F+r6/dez/N7ft/vZ27vi/pet/c6u4/tnvezHRf98HrW63nBZNZTY8+6B/ishKuN63pd96HreXA8z5etjtvD8dyu53S9Rx+56hJpb1f2+67B676W219k9l6jz/3c+7P95O8gjionXo/ws8s2hAABAABJREFUnlSuDtpfzvI9CBePq7aHt9fflnmvtfd06g3tW3e/e9jskXHLduC03rD99Tg9Okjv9dsMKibH3bOGRee6PXR/N5f9niCcjF45cTpvTs+XMcdxd2XP6/i/t3vWey0ZdF0XHcc/nD7nLMGn67tvfdcEwkVgj73ZIfeu609z8tCy4d2W7DuA1z6H4Z97nuu17FUPrgfYjrfvexMIhLOl3prEEb2E47lPwhdaAcu/enfznFdCIBDa9NoK/WyHTpvVdXd1DjfQM3yD2+14j9Oyc9uTLb2Wgd/Wd44VGzhFO6nrOwPxARAIp81x4oUHvr43Rjng/tHeo4Lfe4DrunA6Ai/+lrl3n+wbBw18rd1+Us/fgPescz9Oa/877vsOEqsiXA/OIya2XzwyENt2fKIjhtGOfwRxD7f9/4Nl4LDH7Ws7Xtuf4//ftI6Xf3EQe9cy9EsQzhG35SMM/IVexz3b+q837+cgDrIRWsdY17WdHtm17Y7n9+Y09LEVTnou9W4dg+4lJD5AuE4c5YxyXcDu+J1zhNydw/LpTqK3H/W1Xb8/ooyflo4y7BylTg7LqSAQCN3sSXm+pCJzmD/jMmBb3eeMaV9fY+Xciji++MUv4ktf+lLXf1/4whfwhS98AW+//Tb+0T/6R+e1tCuD43rYKTaxmW/Asvsb/dmSgj/78RqyRQWO48DzPEg8A1C+w2B6JAyKpsDQgMQziIV4MDSFG1NxrOdqeOdJDm8/yUNtdaEv1TRs5BrYLijYyDVQaU2/sGwHWwUFPE8Hm8hoSt7TlSsscQjLHIpVDVVFx1SfEYojCQmi4HeYETgGo32qaz3PQ76s+h3yW2NgpdZISI6lMd7xmpeW0mhqJupNEzNjEcT3mXRB01TQMcfzPIgCg+2CAt30P3tNMfzP3ND3+YscHb8rsF/5Fw3xZAoHAVOjYYgCi1hYQFj2p1pMj4ShqCZSMdHvCkWhqwNMIiIG3eYZZrc6vlTT8ObHWTxaLfnPp3zHYTwiQDcdOI6LbKmJ5a0qlrdryJaacF2vJXetClQKmB6NIF/x5U3VLSiahY1cA6Wa1rX2iXQILOt3ANYMG/myCk23sJlvYDPfgOt5uDV7cGegYlXFu0/zeLxWDqZvTI50yEmYP7Dit1TTkC2piIZ4vwtfTYMssnsMt7Y8t7tUHUSvnMaPUXE8PRZBe3pxJiFduupYgk+9aXadfaNJGQLfOq945tjdFotVFW9+nMUHywV88KKInz7KotZK/uo869tncPv6x0E3bGzkGsiX1T1yMTUaBkUBkRCH0ZQMgWcxmpRBwU8OTSdEsCwNlqbgeR62C8qewqzPvTQefCfJqIhXbmbw0lIapuXAMB3EIwJoyv8uJzPd5/v0aLecSAILx/WwXVSwVVCCrnidVOo68mUVAk/7U7kaejCeWTdtbOYbyJaayJWawR62H67rIVvyv+ujBFNEgQ3+9qmYhLGk/7nCMocE6WR+bbEdvxuCYfmFTLlyExSA958X8HitDMuysbpdx0hCguW44Fgak5kQGJoCz1DQTAuSwCBfamJtpw6P8jss3FtI+vo1BSxNxfYdYeo4LrYLvuz0yql2wD5w3gxL354ZjQCt/WQ8HRqoeyWBcNpQFOXfmy2iIR7bxSZqioHxdAjluoYPnxdQaehQTRuu52EsJYOhPdA0BddzERJY3JqJYywTAkUBssBhPCVjcSqOmdEIPM9DtWFAM2ysbNdRUwx4nn++fbhcxIvNatARth+G5QRnJwkEEAhHx7Ac6K1ObrHQ5e1UdRzaRRwfPC8O1W9GIBAOxrJdLG9V8dbjHLYLSuA3aKgmRJ5Bua7h7Sc5bOQamEjv+izqqok33tvCo9USFNVAvWnANB2MpmRUGjpYhsZIUsZoQkZE5hANC4iFedyeTxzo02r7Tcp1/VB7vhdZZMGyNDwPSMdEjCZl8Bw9UAdxUWAx0rLLKQqIR3h88KKIj1dKULT9/QDHgecYOK6HUl1DPMxjouXbkER23w7ZBMJ1RzNsvP+siHef5tHU9rdHetFNG+W6gZXtGgzT7ooNtPe7Thnv9e2VahpKNc2PTbgukrG90yRmxvb6IwE/5vl0o4K3n+SRr6hIx0RMj4Yx0tqbYhEBNE0hGuawU2zg2XoFDdWE7bgYTfnP8TwPumnDMB2ougWzw97KJGQIHINkTITAM5gdi0CWWEgiC46jkS+rB/ox22QScrBmnqN34zonZHo0EnRVTkQFROTB4hmJiO8/LlT9CSO9nZwJ14fJTBiKZqJY1cBz9J64WltPWM/WsZat9401AH4X/oP8mNWG70tc26nD8zyYrXyJkMTh9lwS9aaJeEQAx9ItvSKM+4t+vNRxXQgcA4FjwDAUYhEBmbgEy3bAsjRyHddMxXa7dBu2A9fzuuI0E5lQoJPVm0br2gYm0jJcz4VpuZgeC2M8FcK7T/NduRcnZSITAtuaQBySOCRj/WMSjuMeSTcjnD7tc+vpWhkvNqso1bQufZqmKYynQnDhwbQcTI6EkIyJGElImBuLIhLiIYkc5ieiCEncngksvvzU8fFKCRu5BnTDRiq6ey+zLI2J9G6cjqEpjMRFvNis4a3H2ZYMIOhuL4ssQhIL23GhGzYs20UswsMw7WDyz0RGxnqujmcbFXAcjbC8f4OLmmJgdaeGx6tlbBeUvsnk/ufy72mKAqZHBpsuNN0RHxhLyeD7TNkalN68pMNox2b229cIhGEzmpRhOy6KVQ2W7WA0KePHH+zgT99YwUaujs9/YjzQd19aSuP+Yhr1pommbuHh0t7JNivbNbz5cRZbBQWe5yHXuv9Ny0EqIuCdJwW886SAVMTPLWxzUM5ePyzbxVZBwXZRQVjiwXM0ilUNDdXE5D6xzzZTmTDKDR2lmoZ0XIIHDBzXmBrp1nN77YN2LkXuiDFUjmUw3t5TKXTFgk5KKibt7t0MHfgh9sPu2YeO+5kIx6M3p4hw9oymZWTiLGzXg+16mEwLl24KBwCMJUT8z7fW8advLEPVzYGmY140vvzaTJA/lojw+LmXB5tme9FoqLs6+nEZ3lzrI/Laa6+Boqiun/E8j8nJSXz961/H1NTUOa3s6vBisxokIJdqOh4spgNlA/BHpf3hd54Go8Asx8P9xRRqignNcMDSNMaSMkbjMizHwUQ6jPtLabgOAAr4479aheW4SEZFbOQaeP3eKNayClTDH881MxKBKLCYm4giW2pCN/zrRGQON6YTfY0h23Ghmw5iYQE0DdSaJpI9BiXHMri/kIZpO+BZpusztVnPNYJxavmK6iubCykY1t7XMDSFe4tpOI6LWEiA43pdymQnE+kwMnEJK9t1VBsGdowmClUNc+MRPN+oBc9bmo4fOrZ1EMIyj5dvjsCyHQgcs0dmCNePRETEyzd5PFhKg4JfXLRTbGKn2EQqJiES4nF/Id01dpimKdyeS8C0XbAMDYamUFdNfOcn68EYwVuzCXzz84v44EUBHMtgbaeOZ+sVsAztjzeFh7nxKJqahcWpOGbHohhPhUBRFLIl//oAsJ6tg6IpsLTvsLFsNxhjKIscHt7I4KPlIgzLxrd/vIZG04Cq24i1upBW6vq+o4LzFRU/+Sjr72sUUKrqeO3eKCIyj5dvZGC7HniW3ldO8hUVq9t1AL7z1XFcxMMCFNXCeq4RjGusNgw8Xa8AAHbQxI2Z+IEFVOEBr38QyaiI6K0ROK0iGcLlo6GaeLxWDqq0F6diSMUkPFg8+Lw6jJpi4Ds/WYfjeFjL1sFzDMZTIaxs1/HLX1jAetYvNlJ1C7mKitmxKGiKCq5/FCzbwccr5cBpqJl21xjTVExCLOyfkzxLw7AcrGzXUanr8DzfWXpzJo4XmzXky63xzQ0D9xZSwXtMj0bx//nrD9FQDKRiAhiGQVkxcWs2Ac1wUKg0EZZ5CDzTCqCIe67vul6gQzzbqKDeGgFbrum4v5gKZLBU0/BiswbX87+7VFSCLLKoNQ2k4iIerZRh2S6KNQ2242IsGUKurOLBUrqvHC5v1QKlu1TVcX8pva++0MvseBTj6RBomgJFUeRcJ+DJWgVNzQLP0siVm6gqJla2a2ioFiIyh2ypibGkDNf1C6duTk9CN2wUqio28goU1USupIFjaGimA9NyYZkubswkcH8xDdvxEJE5MEz/mv0n65WuMecPWiPG/X2gFEzh690HzpOaYuDJWiV4fGM6fuxCqJGkjERUhOd5JwrQEAjDZiwVQiomotLQsbrdQL1pYqfYRKWh463HBZTrBjx4oCkK4ykZ67kGKg0DYYnH1EgYN6aTuL+QwHpWwf3FNBiKwvxkNBhhruo2ai0H8VbBH1ceCXHIlVTkyioYhsLcRBQPFtJ7gqiO4+LRSglmqyuKollYmoqf9VdEIFxq2oXYLENBFs/NJXsujKVCuDEdx7ONKv7Xe9v4xucXzntJBMKVx/M8fLRcxKPVMhzHw0fLJcQjAsaSIWwXFGimjQ+XyzBbBWZP16v49H0Jpmnjj3+wjI2cn5AhCAzmx6OwbRdN3YYsshA5FguTUURCAv72+B0YjguRZyAJ+wcLlR6/iev5Og2w157vJVtqolDRMDUShuV4eLiUhiiwYGgqSEo8jLnxKCbSIdSaBt5+nEeh4vst8mUVr90bG0pDFc/z8HitDIamEJUFxEI87i6kTuQXIhCuOqbl4K/e3UK+7MfzdopN/Pyr03sawPXiOC7+4q1NFKsaXM9Dua7j0/fHQdN+vGI92wDg7x/3FlKQRa7Lt7eZVbCSrfsTUFudxPvZN/38ka7r4e0neTzfqMLzgLWdOj7zYByfeTCBl25kYNsePnyRx1a+iWxRx3q+jpDIwQPwl+9s4YufmsFLSxksb1dRrOooVDQUqzqA3W7/yaiFB0u+X5mhKLjwc0038wqKVQ07xSbyFRUPFtMH+jU4lsa9U9iHYmEBn7jpx0SOEs8wLCeIyzA0hXrTuJSJJoSTU2+akEQOPMfAsl2YlgNR2JX7tt9/PVuH6wGzY5E9sQbTcgI9B/Dvr87izkpDx7P1KupNE9lSExOZMGSRxfxkFOmYhI1cAyGJxeJkHDem47gxk0C6FVNJRkV8tFwMfCCyyOFrd8Za1yxB022s7dSh6hbmJ2JgGBp355MoVjW82KqhUjdQqRtBnObNRzms7vif5Z0neURkDmGJ9wu2WBZjqRBGUzK+89N1VGq+3biRbeCXvzAPmj5ZT1ZZ5PDwZubQmMSzDf+7Anx/8f2F/XUzwtmwulPHVr6BtVwDLE1jNCnDau2hALAwGUO9aSIVlZCIiAiJHO7MJUFRFDx4sCwHdCsvoPdvb1h+PHCn1EStYSAZFTGWCuHBUhp355MwLAccy+yJgX24UkauomKr0EC2pKHWMPCzn5hEJimjUtexttMAy9Ao13WEZQ4xQYDjurgzl0BI4vGD97ag6jZc17/nbs0k+/pH2rH6tWwdhulgIhNGVTFwdz6157mLU3FMjTpHsg1GEjISkeHEB/rlJR3UNKo3NnN/cW+SPIEwTFTdbhUX82AYGn/6xgoet2JtH6+U8Dd/8S5+7uUZGLaFiUwUHz4v4v5CCjSDPWfQ840KfvRhFoB/L9+eTQQTngoVDT/9eAflVo7i997ewuJMMngty9D75uz14nkeHq/uNnUt1XTYtrubR6gYQRPbftSaBqIyD8/zpyJXFT2YFHRYXCMe2V/PtWy3K5dCN2zMjg8eQ50ejfgNMikqKIAbBgxNHbh399KOUQNAoarBcbxjfybC0dgvp4hw9pTqu01bs9XBm0lcJP7D//XEz+f0gP/z+8u4v5RGOna5ilGWphP4//3t11CuaRhPSWDZyxc3UzQLj1Z35XpuYjcufxTO9JN/97vfxWuvvYZIJILf+73fO8tLX0vahjYAGKazxwGyU24GBRztxwuTseCx43rIthI5GMZ/XVOzIAkcXNdFXTWDQEujaaJQ9Z2fmm4Dnt89RxRYlGt6UMAB+ErifsaQZtiwbTdQWNqJmb3QNHWgE7fzszuOh6ZmIx4R+r6m3jTBswzAMjAsB4ZpHxi04VjG/4wtbNtFvtI9caDeNIdSxAH4ChdziMOacL1gGRqdtn87EQQAeJYJxu52QlFUl5FRqmpBAQfgByxvziS6nAq5iopMTAoUdtN2u2SrLcedP2vqNliaCpK+6k0zKOIA/PtZNx3UmyYcxw/+Ar6zlaYoZEvqvkUcdcXclT0PUDSzJdsMGIYGc4iPpXOdmuHAshxILVnv/F29aex53WFTcAa5/mH0/l0Jl4tG0+was1dTTKRi0qHn1WEUqmoQhFA1yw8apPxzvdowgntXM2xYlgvbdsFzfgHEUQ0+Vbe7ur50ykWbzvtU5Fkoqhk4RU3LATyvq9NMU7P2FEdKPAOpYypJXTHBsQxMy4Xj+gWdMs3te310yEm3XPudfXr3Jtt2YVmu3yGL4VFvmsFzAV9vae+HruuhqVl9g4+1jr1hEH2hl07dh5zr1xundZ8B/vmcq2gQOMYPXngeDNOB7XhIRT00NBPpmATXA2qqCYahWwkGfsdJl/M7W7Xvz3rTxPxE7KDLw3W9IEgA+DJgtfRvVbeDPaf9fheF3rXUmuaJptkM00FKIAwTjmWgGd0Tn1a2a9B0y28p5/lyW2/6Z7BtuWAYCjRNg2EoFKo6OI4B1zp3Ojs3aoYdTJNyXQ+GZUMtWUEHV8fxYJq+rd9bxGFYTpC8AFys/YFAuCy0fVzRkHAtk2F+9pUpPNuo4s/fXCdFHATCGWDZLqoNI9Dva4oR2Lqm7WIr73ezZWgKpuUi20qgrigmGk0z6L5YreuwMmHopu9Lc1wPHgd4HgXH9SDLPAYJS9XVbr9JrqwGnTd77fk9r23pHQxNg6F9n8hBk3j3g2/ZXZ36UVO3oajWUIo4bMcNfJccS0M1bFAUTuQXIhCuOk3d8v2qLRTNQlOzDpUbzXQCXwhNUdAMB5phB37RNp7nv6csdvsaC1UVumGBYxnQFIVKff+J3L3+SNN2UGuYQcGF2rLPxlIhhCUeqm6BphhYjgfTcaBqFoSWQ7WqGIFP0TDdIMaqGxYs2+2Kq/TzK3f6Xf3Yp3Vo8ulJ/dP7cZyYiKJaXV3b600TEyR39VpSb5pgKAoMy8Dz/L2gM4eh3jThul4wydBu3e+dsYamZh3ox2w/bvs8NN1CWOJgWS4oivLX0NItAATN6QDf/dLpAzFMBzTt6z6uu/ca/msomPauXLd/n4pJ2Mg2QFEUGApwPeDFZg1L0wlYpguWpSHwDAzTRq7YBM/530NDNaHq9oGTCgblsFwDz/O6Yy2tWBGZXny+1BQDquEAnq9n1psmXM8LijgqdR1NzQpidG0ff7ux00F7v6pZcF0vkI92fFDVLcTC/XNqdNNuTfi1QIGCZthwXN+OmB6LotERczBMBzzHQBZ8HV43HYQkIF/RQFMUaAYwTQeVhg5Z3JsXUG8acFw3yGVSdQuK6q+5X+L3cRokDis+0D8vqf96emMz7e990OITAuE41Jt+Xh/f2tNXdurB72zHw3qujlfvjAHwZc3oyCvsPVuzrYIlAIAHrO80MNUqoGzqFvJVLTg7ynUdimYiLO2eYxQ1mF5q2m6X3luoqAhLfJcOedhnbstVQ/X16va6Bolr7KfnqrrVlUtRa+5vQ+zHaTWWG/S7dRw3iFEDflMNUWTBtPQXEvc5XfbLKSKcLY9X8rAdF22VwrJc5MtNjCQPnmJz0djONwFQLdvFwbP1CtIPLlcRBwCERBYhcXjTic6aXrmuN81jFXGcqTb49//+38fKygoA4Etf+hIeP358lpe/doQ7xtcKHLNHGRhPhrqMk4lkCBGZh+d5cFzfaTA5Em499uB5HkYScpAg4o8s899TEtmgSr49mret2IkiA4bdNaZkkdt3NKDIs11GSrhnBK/neQON8OysuqXpgzscdj6XbX22w+hcF8vQew7VQUcHD4LrDvaZCdeXSKj3fu++/xzH3TNiNBbeTRrxPA+JqABZZMEwFEzb74aUjkngOLpVyEWBZ+m+Fe2Rrr2GBsfRwftKwl7Zi0g8IrI/TlwWGNAUgjVn4vsrqGGZ23XiUkBI5ALZtm330NHCEs/CbUVWRJ5BqLXu3nX2fsaDqvgJhDbtEZWO48LzvD3n13FJxyQwjC+rkshBlvx7lWcZxCNCcB2RZ8ExNNjWud6+b9vn5mGjL13X8yf1MLvntcAzQaKZZbt9x4t2yoc/VpyBJOzqG5LI7un20HuWtz9Deyx528EwiOxFOhw/As906TVtpxDD0mAZKpDziMx16RuiwEJsrfkgnSEi83BdX0fiWBrCAY6QfvsugdCG6bnPRlpFTRxLgwYFnmMQFllwLIWozMNx/QTtRFQEzdAQRc6/p3kWXOuMbusCEZmH7bhwDhgHTFEIxlICgCgwYNv7jMB27QPneQb27l97z2fSqZFwdem932fGohAF1h9rTlEISRwSERFyS2Y91wUFf1JWJiGDohCcWaEO+zsksRBYetfmZ2hk4lLQNZuhKfBcf51f4LrPWSKDBMLRaQf22pMorxs/98oUWIbGi80anm9Uz3s5BMKVh2VoREO+/831PERkPrCLOZbGeFoO7HWeozHS8snFwjzCMh/4DeNhAZLA+fYHx0Dg2VZyGIVoyw5xXL9rY3vKttuKJXTa/hGZByg/Ac3zPKRjIizbheO6e+z5Nm3bpks3oXZ9MMeh83sAAFlkj+TDOcgHyTJ04F8A/HVex6I9AuEoyCLXJdMhkUNogKIqkWe69oaQtBuj7JRpigLCEgfX9boSxJMxsSvhM90Rl2jvX6pqQNP2JjHxLINYR0xGFGhwLB3E8njW3ws4lgbHMAhJXFBkHw3xgU+xK4bLM12P99uXRJ4N/CQ0TUHeZz8cxB98HoQk3661WxNQSOzl+tIrp71xzbbfn2N9+WIZKog1tPUDWeJAtx67ngeRZ7tiGO37q33uSwILt+UL6d0TeuMCLENDEv33c13Pj5/S1KG+087JMl6wJhdjKRnwPLieB4oC5ltNNUXBLyTz8zjYrsQxWeLObIIjRVFdfxPfX0ySys+bSIj3420UwDD+36h9TzieP4lb6rhHJJEFw9BwXTcoDuiME3TmnEgiC7o1ocOPk/vxufb7W7Yb6PeAH/PiGBqREB+c0yLPgKHpIEmtUx5kkYXYikFQrZg+ACQiQhCrZ1l63yaKEZkHQ9O7uUiCf84POlHqLPNrjpKXRNNUl94jCSyRNcKpE5Y5uJ5fFOV6LqYyu4VTNAVMjYQDm74dAzBtvwFi+2xo65aZeHdS6uTI7nvJIotUTITjeHAcD7Gw0FXA0Y/98v84hu6KY6ZiYpf899MhO+W+207gus78k8Q12vlUl1mXZVo6Tpt4RADP7p+jSRguvf4s8n2fD7fnR8DQFDwPQZOBy1bAAQCjKRme68GxXfAMjcWJxHkv6VoSljl/dGqL454NZ9oCSBRFaJo/sWBrawumSSr4TpMbU3HslJpwXQ+jqdAeoyYa5vH/+PJNvPMkD1lk8YWHU2hoJl5sVWHZLm5OJzA7FsOLzRqypSZcF6g0DDA0hVhEwC99dha5qoZyzUC+rOCN93cQjwh4sJjGwmQcjuPgw+Uynq5XQFPArdkEBJ5FQ/VHlo+nQ11jTQF/Y7wzn0S+ooJjaYx1bJKqbuHJWgWW7SIa5nFzOrGvoTYzGoHAMTBtB5m4dGA16+JUHNlSE42miapi4P1nBcQjAm5Mx/cNssxPxCCJLCzbxUhC9g0s2u/aEZa5oVVKNjULT9YrsG330DURri/t+92wHKRjUlfwIVtqYj3njw6fHYtiNCkjX1GxulNHOiHCMGw4rt+t6ul6FaWqhmcbVXAcja+8NgueY5CKSaDgK5Sjqb2Ky/RoBDzHYDPfAAW/E43tutANBzvFJlTdwo0Oeb0xE0ckxCEe4dFQ/e5+sYiAqUwkqNTvx1gqhE/dG8VmToEkMJifiIHnGOTKKr7/1iZM28FYKoQvvjrVVYzleR6ebVT97iC6jbF0CBNpv4htu6hgI6vAq2rQDRu355JIREUsTcfRaJqIhPihTdUhXG3CEgfP81Cq64iG+GN1hOxHPCLii6/OYGW7hntLKXi2C9PxcGsmAZFnu876uwsp6IYdnEOm5eDxWhm64UASWdyZS/Z1Bqq6hcdr/lkj8gzSMR7bJQV/9JfLsG0HkRCPV++MgWVp3JpJdBmXN6b967c7fL73rACWpZCOi+BYpmsSD+B3i3u8WoZlu4jIPG7OJjA1EgbH0jAsB0vTMWimP9Z7NHl4dfKNmXhLR/Ewlgp1nZGZhASa9ju8LU7GoBs2GIbGWFIGw+zqG5MjIdCtLlmpmLRvl4pEVMTyVg224+L2XGLfUaQ7xSY2cg2AAubGjzcqj3D1uTWbRLbUBADMT0bwv3/3GRgK4FgKk5kQbs8mkU5IyFdUvPukiK1iDhOpEFJxCeNJCY4DrOfryJX8qXk3p+NYnIpBNx28/TgPivLHqffqpG19Wjf9TrezY1FMZHZlh+cY3JlLolDVwLODyeFp0G//auvCw9a3CYSLSDIqYnEqBkW1EA3xeOXWCOIhHm98sA2WofHZlyaQiEp471kO28UmdopNbOabaGo2RpIy0nEJHy+XYLbO553/P3v/GSxbeh7mYs/KnXPvHE8OkwczGAAkBwABApAIURQl+VpWYJG3XLZJlfSDpSqpyqW/NCVbsi9ZvnJJKpco+toUJV6JEkmRAAmASANMDiefs3PsnFde/rG61+7uHc4+OfVTNXWmd3ev9a3V63u/93tjsUUmGaLZNjEdv0KeLAoIgsCXX59nLBuhUI4Q1iTGs9EDDUySJHJ+IcNOpY0iiQfuC0aMGHE0tW6C9P3aKzxpJGMan31hku+8t8F/f2uFU7OpRz2kESOeakRR4LmTWWotg43dJvlsmDMzaWRZJBXX0FSJbCLMeqHJdD7GC6f8UughVeYvfXaB964VMCyHiwsZlG4HC8t2EIS9IjITmSiVhs7N9Ro75XZg0x9LR4iGZBRZIhFVOTOXJqLJeK5Hua4jiyIuLitbDSIhmc+/MrPP5r2202Cr2EIQfPv9wlSCjm6TToTuKYkjkwjx2oVxVrYaKLLA/GTy2F04tkstvvXuOrbtMp2P8eYr0wM2SEEQODefYafb1WQyN9KXRoy4HZoi8RMvTnF1tQLAmdnUQJDVYciSyOdfmeHSUgkPOD+fCarrTuViyKJIx7CDDp7vXy9gmg624zAzFmciF+XMXJqbGzWiIZmLJ7KAH6B2ZaXMWx9vcXO9SiKu8ebL03z2+eng3KIo8NK5MeIxlXJDZ3O3yV+8v8EftZc5M58mlwxxYjpJIqZSbRi8dmGMRttElSXOL2YCm+KwX0cSBXYqbWRJ3GdTdV2Pa6sVak2DZsdidjzOdD62r/K447hcWan4nYZViXMLmbuqTv6g8AvrCOyUdcIhmXT82dSLR8B0PoYiS+iGTTYZ2lcQLp3QWN6uEdYkxjIRpvIxJrJRVrfrbJfavn4wnURTJLaKTaoNA92wqbUMzs2niYQUMn2+vsXpJJ2OxfvXC1xaLmM7Hs+fyIAgMJWLkk9H9sUSpOMaa9u+f7UXz6DIYmA7HY5jAH/Pc3ouRanWYbvY5tZGjR9+skU65uteCHBhIctr5yco1jqMpcM4rofc1Z8unMjw0Y0irutx8UT2WIUn7xdn5tJsFX179XgmMopHeAxYnEoS0fygaEWSSCU0VFliabNGvd5hdafJRDYadOaYyEapNQ2++aNVtspt8OCVs3nOzKcJa3LgB0zFNU7NJFFlEUkUCGkyi9MJFiaTiKLI5aUyG4UGpZrOdD5GIqb6XXE8uHgiy2QuynapSTKsMjeVZH4yAfi6ryT6HTrOzqfpGDaG5ZBNhNBUietrFcKqRFiVyaXDvHAqd2jCQ89Xn0lq6IbfhW94bTyMRtvk2moFx/HIJEOcmkndl9/jMO4kLgn8udbzDU1kR/7DEQ8eTZFZ2qxTqulkEiG+/hPzvHstQr1pcGExiyJLvHtlB8+DqXyUZsfkg+tFZEnkp1+b5cpKmXrTRJFFzs6nkaQJCpUOU/kYs+Nxdsrt4Pm3HZc/+r5f2PvF09kjx9UfM9CzG/TiiURR4PyC70cVRYGJbBTddCjVOgfGELQ6vu/TdvZk3Ha5HcQPuK53X/waiuzLsK1iC1WRODv3ZAZMn+vzUU9ko1i288j9ws8KyZjGmbk0taZBNKwMFBMY8XB54/wY3/9kB4DPvTj5iEdzd5yeS/L2pR0c12VxKsnYSK94JMQjKmfn0lQbBpGQQj59d/P6oSZxnDhxgn/xL/4FX/7ylwH4gz/4A955550DPysIAr/4i7/4EEf39CFJIjNjR7ebmRmLD3xmfaUZZLxXmwYrWzXS8RCyJLJVbFFpGORTYURBYGE6xcJ0iv/63VtI3V5i1YaBqohM5mKs7zSoNf0qg64HO5UOE9koouAbHLaKLcYykX0GxLAmMz+R2DfWjUIzyJytN03Kdf3QBU0UhWM7SSRRYDof42q7HLQ4rTYMqg0jMPAedPyp3GBrx3QidOjn75aNQhO7e83VhkGlYYwCykfsQxCEAw0Xruv5CRzdIhsr23XyqTCr2/7f0rEQO2abiWwIURRZ322wtFkPAko+ulnk6z958ljnz3WP23OwbJVaTHbHVGuaVBp6EGwpd2XT7eTTQUxkovuMou9f28W0/XaqvaSVhclk8H616c9n6FXA2wuaUWQpcPy2dZvdSpupXIxMIjSaayPuiEK1gyAIQcD+VrHFwuT+texuGM9EDt0wH7XWb5da6IY/Nzq6zW65zVR+f1vi9d29tUY3HWaiGp+8tYrtuJi2y/JWg8lslOmxOOu7Dc7OZ/adf7NvjbZtv6vHcKImMPC5RtukVOswlo4c2/g6jHwbXSebDB8a6H2YvnEY6zuNQC6UawZ63t7nVHYc10/gAPBgZcuXuyOHx4hhFHlvjnz73TXiEY1mxMb1PDKJMJoqc2omzcc3S8SjCrpps1NuMzceJ5+JMDsWo/RdnRPTfqB1sdohEVW5uV4A/KoRy1v1fc9/T5+WRBFJFYlFlCDIoUckpDA/8Wgrfxwmvx6Evj1ixOPK8Br22Ren+eyLe4FDG4UmsiTR0i0kScDFb2e+tFEjpMnk0xGWNmq0OhbJqMbl5TLpmIbt+FUkw2EFURD46GaBn/n0wr797UGE7nDtHDFixCA9G1nqGU3iAPjKG/N8570Nvv3uOr/4ly/cUyD2iBEjbo9p+125znQDC9qmzfOzueD9F8+M8eKZsX3fS8VDfOHV2WOdY3WrgWHabBdb3WDECNfXKkxk/AJO9ZZJqabjuG5gN1neqlOotklGfXm4vN1gKh8PunHoph0EEXrdvfXLZ/eP8245ylZwFO9dLQT2k41Ck41Ca5/tQ1WkA+0hI0aMOJxYROXVc+N3/L1ISOFT5ycOfG+sz5Z6rVsoTRQFVFEmHlUJqTIh1d839bNbaVOt61xbrQKg6w7fe3+TT1+YCPyg4CefXFjMcnm5zPJGnY5h02ibrGzVSURUynWDUzNHB3Ud5Nc5bL9VqunUWyaCIBCPqPsqefcoVDu0OhYAhuncVxv1/aDS0LFsL7Chr+82gzVqxLOFIAhHBgmu7zbJJvbW6olsFMdx2S75iZKeB5eXy34wpSZTa/r6RiSkDDxX/b6+P39nDUHwCzIapsNWqc3MWJxEVNuX0Om6HpvFVhCHsFFsMpmLBomsR9lO0/EQzbYVFKFrtS3qTYNcKkI+HSYVD1FpGIf6RF67cLBce9Ac5tMZ8eiQRIGpfGyfX89xPRIRX4/eLrV45dxYUMDto5tF6m2LZtsvIrG200DTZGJhZSDmZHW7gW46jHd97gIikZDCbqVNo21SqHRwXL9w3cp2g4XJBIosUq7p3fPdfv3tL2BRbRhU6gaiKDI/mSARVW+rj9+tr35tp4Hj+MER5ZpOLWU80GIadxKXBIO+oREjHgZXVso4jkcqpuG6HpdXarz58kzw/jvdBA7w9ea17UZgu/zBR5ucm99Ldt4oNDk9m+bU7J7+1nv+bdvl+lo10IFvbtR59fzkQJeHfgbi/7p2g/7AV1WRmOvTjWNhcaDjVT9ru42gc1C1YdBoW/viB+6HX6PRNml2rECX3Sg0n0if5bAcUmTxkfuFnyVScY3UKJn9kdJoWywXWkx2dawbazUsy0JRnqx58I231oLunMWazg8+2uAzfQUoRjw8kjHtnvXNh5rE8Wu/9mv8w3/4D/ln/+yfIQgCv/3bv33oZ0dJHI+G4RjDXqarcMj7/e/tfcdXwoShCtUCwr7P3klI43AA5P2Oh9x//Mcv4PLxG9GIxx2BIIcDgQPmjTD4ov+leAdzQBg62b7TPMD5NHzoYUmz//XB/3/QZ0eMuFsehyVk37w75pgE+tbw3nfEQ455yLEP+9y+tfYJmnP7budhbZv7ZaEgPJb6xIjHC2moopogAIL/rygMTi9RFLvr+dBcOqAq20Hz60l5Hu9Wfo0Y8SzhiwphWJ1HEoX967hwwDTq/uFOdP4RI0bcG70kjme1EwfA8ydzzI7HWdtp8N9/uMJf+8KpRz2kESOeau7FFn9nJxEGXu6zxQmDOv7wnkYUBvfcD9oPcLcMb7sek2GNGDHiNuzzex4hVPp9ob1gNkEUBhI4Dvr88Lnuv//y6PMe+r37O4x75nGV7yMePwaejZ6ecIgvsDenbzf/9kwlg58/bKLc1r96BMNjGX72H2KDjRFPO7dZ40TxYC/cfv9C73CDNsV9U+8gG+NxhvlQNia9Q++/ByNGPMvsi+c70Kfv7f1/3/vivr394fNJFPevnUctd4fp0XfDw4pNehJiCkeMGHHnPKlzeXjc0kjneaJ5qEkcn/nMZ3jrrbfY2dnhzTff5Dd/8zc5f/78wxzCI6Fc16nU/eoPE9l7az/puF5QxXosHSYWUYP3NgpNbqxVUGSJfCaMKklM5WNBBSvws+/LtQ6TuRhn5tI02ya7lQ5e1xopCgKe52/UpnLRoC2Z53mMZSLEIwraUDWpT12Y4DvvraObNrlUmGbbb6U2nY9xYjrJrc0aoiAwngmDALuVFq4HY6kwazsNcqkwyZjG0maN1e06qiqTT4bQVJmpbtaun4Xrj0MQhCDzvtY0KFY7hDSZyWwUx3XZKLTwPI/JbPRYbZdtx88YNkybG+tVdMPi3EL2sch8nB2P09G7rSaTocdiTCOeHERRYGEyyfJWjUKlg+u5vH+twNxknNWtBq2OSS4ZomPYREMKC5NxHNfmvWtFwqrMT744xep2HdvxGM9EWN9psl1ukk9HuLA42P5QkkQWJhKsbNdpdSzG0mGaHZNoSCGbCg+0xbZsh81CC7c7T6+vV9kutWi2TbLJMBdPZAeqb7R1ixtrVeptk9nxOLNjcQzLYbvUotEyScdDbBaaSN3qHfNDlaVScY1cKkyx2kFVBrPKJ3MxGm2LVsciEVUHKoQMc2OtwkahSSYZ5vmTuUM/9yDxq/80MUwnkJ2Pgl5FRKHbavp2rWGfBfLpCB/fLLK6XSeVCJFJ+OvaZC5KSJWpNnQ+vllCFAVeOpMjElIPPM52qcW11QqaKpFPR/Bcj3w6QiJ68Oct22Wz0MT1/Hag/W3HJ7JR6i2TVsciHlEZTx/8fPevNZnuWvPFV2f4X/7kKpbpcGIywXQuPrD+D+s24+kItYZJo20SDSv7qkhV6jqf3CrhuC6G6dAxHXLJELWWQaNjUKrqtHWLE9MpZsfjgb5jWg7jmciAvnO/Oe68mh2P86NPtrEcl+cWs/s6iUFXFk4mWNmqIwgCi1O+PGrrFtulNpLkd//qVUUa8fhTqnWoNvyWpvejjbzneWwVW3QMm2wyjCBAIqbguB7xqEK7Y2M5Dqbp8Dv//TLbhRaNjgmIGKbNN360zOmZFIVqm1hY4dZWDRGBVyfjlOsGcxN+UKQgCCxO768qM5OP0epYFCttlrbqrG3X+cmXZxjLRI6UJw+b48qvESOeRlodi51yG1nyq+3d2qixVWySS0W4eCLLbqXF25d3uHyrwm61Ratj0mgayLJMLhkiElZIxTVWtxvEo6pvD/A8WrrF8maNXCrM3HgM24FISGYqF+PmepXMqNPNiBGHcr90uVrTr4SZjD043fZxRxAE/trnT/F///+9x3/+zk2+/pOL+7qCjRgx4u7o2ck1VWIqF0MUBSzbYaPQpNE2OTWbotUx+fa7a0yPxYLqmJW6zo2NKo7jMTseo637XQBzyRAnplMosjiwh0nFNaoNg1Ktw+pOg2bHolLTUTWJsUzY70QxGaNQ7vDxzQInZlKBHb/RNjEth9mJGJlkiJ1ym1Rc48xcJpCttuP6nfksvyNfNKTw+sWHV5HadT22S/71DtsIXj6T5w++u0Rbtzg3n2HmgAq6I5vZiGcZz/PYLrVp6xbpe+h0fVz7xPW1CpuFZuBTEAQhsEFKosCLZ8aIhGRSMY0b61Vs2yUR1SjXdVRFpN6yKNU62I5LJhFiOh9jPBOh2vTtK7fWayiyyBdenQl8A4moSiYZxnV9n8nJGd8HWm74x5wfjxPW5KBq+m6lTaNlEo+qQcXe43JpqUSh0mYiE+P0XIpyXafaMAhpEtNjB3dSzKcj7JbbLG/XiWoKz53MHPi5gzju72fbrl/pvWWwMJnc5485inRcI5MMUa7paKrE7F10a38S6bcv3m1H6meNxakktzZqmLaDKous7TSYysfIJkN8slRCkURevzhBvWUCHumERiKiHvlcvXRmjErDwLJdElGF8XQE23Ep1XRkSSTe9UG0dZP3rxXZKrUoVtvIksj5+QxvfbLFylYD23HIpyKkEiFeOpVDVffLqIlslJWtOqblIEkCc/kY9ZZFIqaRTvhVWtd2GpiWw1gmQliT2Sg0A9ky3BlkmHrLpFBpU6rptHWTZCzEi6dzQaHNfjzPY6vUoqPbj8z247r+GPQD9KsRd0ap1kES/fUuFdeYm0gM2CheOJWjUO3QMSwEAWIRBcO0MW2HWtOgpVtsF1okYhqqIlOqtskkQ3z1jQVsx6WlW1xeLrG63URVBeYnJjk9m6alW1QbOsmYRqmm7/Onr+82+P6HG5TqBiemk5yZTbM4laTRNtktt1EVCU2VWN6qEwnJXFg8/vp0p8xNxLm2WsFyXMbSkWBujxhxv9ENm61SC1EQmMpH77t96070h95YBEFgemgsFxczbJValGs66bjGc0NxLhPZKH/2oxUc1+ON5ycJqxI/vrKDKkt8+fU5XNePC9BUiZmhzkAt3eY/f+s69ZbJZ16Y5KUzY3z7vTU8F958eQbdtNnd6aDIIlP52ECA8VQ+yupOnXrLYjofu+3e4SCbR4/Z8Ti6UcWwfF//7eLqerGJyZjGC6cG18/hGAVFkdgsNLtjjhGPKlxbrRJSJc7Np++rnncne4ditc2lpTKqIvHSmTyhA/SRESMeFP3r+/DcfhKIRxRmxqP84MMdAH7y5eknrgsHwE+/NsNv/9EVXNfjxFSC1y9OPeoh3TGu6/LRzRLVhs7seIIT08lHPaRHxiOR4uPj4/zqr/4qzz//POPjd94i90mi3jK5sVYF/Ha3wB210xtmabNGuXuccl3nhVM5VEWi2tD51jtrOK7HTrnNWCrC+cUMLd0Kgq0vLZX44FoBgLWdJoLgUWtaOI7L8lY9UHYiIZnnTmaDILULi9kgeaL3bz/jmQh/46fPsLHbYKPQolTTKdV0zi1k+OwLU7x+YZyPbpawbJf1rTquC5oqsrRVxxMEynWdfDrC9z7cxHH88c+OxTk5k8QwHVzPo9rwqxXKssjzJ/1rbusW11YrQTUc23FpdoOxwVfiXjiVv212/Y31KvWmyZWVcvfehVnarHF2Pn1XbdXvJ2FN5sUz+QPv+4gRx8FvOehyZaWMgEC1UcJyXF44mePDG0UAYmGVfDpMPhXm3au7zI7FEQWBH368xeJ0CoBLyyXKVR1RFFjbaSIJImcX0gPn8g2NEpdXKuD5x53KR/e1Kry2Wg3m6QfXCzRaJrc2a7Q6NnMTcbaLbf7qmydQVRnbcfngWpFbm1U8D3bLbVzXlwm1psH6bpOQJnFhMcd0Psr0IcbZE9NJFqcS++aRIotcPJG97Rxb2arzw4+3AV9+ioLAxRPZQz//oFjdabBb9ttFl+s6z5/MHStZ7X7ieR5XlysYlgP4CvqjSmp5nFjfabBdaqPIEsubdRzHY34iQb1pcmExwzd/vErH8O9Zqdbh6z95ct8xmm2TP39nDcfxn/FISOK5k3n/tz6VO3DzfX2tQrPtz6dqw+CF0/lgk3Tc5/vAtUYQ+NLr8ziuiyJLPHcyG5x/WLfx8JjKxTi/mDnwXKbt8o0fr2KYDo2WiYfHi6fHWOkmia1s16nUDbLJEOu7Tb76mYVuQIiv71QaRqDvPAjWdhrs9M2r507mDnQOF6odsskwnudRbZo4jot0QADfWDpCPhUO7oPjuFxZrgRtXDu6zbmFB2egHnH/qDUNbq7XgO6z7t2bHg+wvttkq9gCYLPYxANCisz5hQz1lkFYk1narPONH6+wU27TfWwQ8bBdD8t22Sm3mdysM5YJk4j4AdrFio6m1FmYSvCp8+OHzvmQJvPi6Tz/z//4QdCeeKvU4v/4Cy9wfa16qDx52BxXfo0Y8bRh2W7Q3hzg1maN9R3fQbC200Q3ba6vVfnxpR22iy0sxwHPQ5JkZNmvVnVlucRYJspUzneovHAqxzffXmV5sw5AZ6fBz3/+FCemk2yV2mzsNml2LEp1nQsLmQeaODlixJOI7bhcXt6bl4bpcGYufZtvHUx11IkDgDdfmeG3/+gy5brOn729zlfemH/UQxox4omnY9gDdnLH8ZjOx/jTH/l7cQH46EaRaDcgcG2nSUiRScY13rmyw3bJ3xNfXirhAaossbbTQDcdsslwsIcp1XUWJxMsbdVZ3qixtOXv62VJ4PmTWcYyUV48nePjmyW2Cr6NZH23yepOnUKlQzyi4nkeE7ko8xOJoLBUv85/a8P3f2zsNHE9mM5rwX78YbC+2wjuR6mu89yJbBBI2TYcnj+Zw3V9e4Bu2AN2Oc/zuLJcxrT8jdzIZjbiWWOr1Ar2L6WazvnFzF0FTh5l7+yxul3nrU+2wfNlmufB2YUMf/rjVUzTt8FWmyZffG2Wle0G2USYtd061aZve7m1USOsSazu+EHTs+N+4ajTs2kyiRCfOjfOK2fySJJEWFMC30Cx2mFqLMbCRIJKw+D8fJqxdIRMXEMURdIJjdOz6eCzvX1YqaYjicKxZdm11QrvXtkF/OtTFJEzc+nb2kkE/MCz8bRfiGRps3FsP8Zxf793r+1ybaXij223STQsk0sdL0FFEAROzaTwpp8de0+1MWhfFASB8SOKiY3w6RVzfP/aLqblUqj4AZKeR/B8F6odzs1nWJhMHBrD0E8ypvFX3zyF67qIositjSrFqk655idI9Xwgf/b2OtWGweWVMq7tkE6E+H5ji0rdwLZdmh2LaFjhhVM5Wh2LL7w6u+9c1YaBIktM52MIgsCJ6SS5VDgY49KmX3wPfP+HIosYXdlVaRi8eCp3oO8B/EDdqytlqg2Dd6/tEg0ppGIatuPy2oX9ia+bxRYbu925/YhsP2u7DXZKez6Yi3361Yjj0++vSMY0ZsZi++RJLKLycz91Etd12Sq2WN1ucGuzjut5pOMa713ZBQSur1UxbZfZ8TghVebjWyVyqTCXlop8cquMIEBa1tBNh/OLGUq1DjfWXDwPlrfqiKJALuWvaZ2Oye994zrb5Ra1lsmtDf/5lkSB3UoH1/UwLYdKw2CiWyirVNMf2HMYDSu8fHZs5FsY8UBxXY/Ly2Us29/7NTvWfY0dGfZPAocmCLiux5WVvX1oa2gsqirzlz67GKx/w7x/bRcEAVGE968VWJhK8tq5cURRxLRdzs0f7P8H+Pd/dCkY58pOgy+/Ps8rZ8cAMCyHKysVXNcLXp+aSQXfrdQNoiGViKbgeh5t3TpULhxk8+hPJI6ElGPH1W2XWnzvw81gH+F6BGMGWN6sDcQoCAKBXbhc0/EgkGW3Nv2ETbj973Q7SrXj7x100+YbP17D7j1/bZMvvT6yr454OBiWw9W+uW3Z7hMXeN9sNvnRxzvB6+9/sAF/+1OPcER3x3fe2yKkyriOw25V5+Z6hZMzd+e7elR8dLPER93Y1bWdJprq76GeRR5ZGeBf/dVffeoTOMCv1tdPa+j1vRzPdT30vg295/l/c12PZjdAuq3bwed7yR89dsr+psn1/ICwXkBux7AD5adHT9E5SuHpdMcyPFbHI1BeO4aDYdmYlovjeDi2v9nbKrXAA9vxu200O351wpZuDVyz43iBEjQ8znbHHri/puUGAZNH0Qsmb7Wt7v3w2yRXGvptvvnwGG0wR9wL5Zo50Dq0UtfpGPbAZ9q6TbVh4Dhe0Gq1WDOC96sNY2A+leudA8/VMZy9HokMyqC9v+3N02rd8GWZsTevTduh0Z2XpuXQ0q1grhuWQ73lV8rpGTQNsytfhmTQMEc6N24zx8r1QXlQqT8a+dCTV+DLqeHf8WFgO16wXoAfkN5T0J9l+p8Ry3ZpdR2NRvcZ7iVwANRa5oHH6M1BANN2aHb83/eo37p/jlm2i2XtnwfHXUP6P9fTIyRRxHW9YL755xzUZdqdvTEcdK6ObgXftxyXVsfGdt2uHmPTaltYtv++5/nzq/+6XNd7oM96v+5w1L3uzT9BELAdd2AeDNN/HwzLGZCf96oLjnh4DK9h9+O36z+GYToYfbKh3jIxukbWetPE8/wkIMdxaZt7z5FhuVi2Q6ttBTq1bvljbXWs285503S6Vep6Y7JpdZyBNcay3WBePkpGOvCIZw3DcgJdAAgc3D12y23qLQPT8osduK6H49LVxUQsx6PWNAfW7Y5hU6zu6SmuB7vVDqIoDsx7vIN19xEjnnUMc3BeDsybO6TWTeJIPeNJHIos8vOfPwXA//dPrhypV48YMeJ4DNvJW7qFbtqBTiAIAsXqoC2v1N179+sNjZZFp6sPOI5Ho211OwN28aBcN8AjsN3ppv/5Rte2blpuELwgCAJ4sFVsBeMTBGFgfz2s8zc7Fpbj4rgenudh2+49yd47ZUAfGrIR9MYhiuKB9gPbcYPAGfBtZt6wo2XEiKeYfhsh3L3etM/eeYB9oljTB/wQlYZOu2MGCRwA1aaObuzZrk1zz6fQ0i3ahhO8p5t2MP62biMIApLkF5TZKjYHxtNs+3LRtt1A9vUC4vrHPmxHupP9VmlIZhdr/uvb2Uksx8Wy3eBzw3bcozju7zfgG+mtC3fIs2Tv2WdLH9mGj40ztK42ux29gue7+8weJ4ahn4Pma7+fstr0/aGW5WI5/rxvNA0M28Ho2mM6hv87VhoHP/+9+d8bU09n6L1udgbjPWp9x7FtF9M+PL6hp/c12hb0xWAM+zGDsTwGtp9++fKofJtPA8PrSr/fcRhRFGnpNpbt++LwoFhpY9p+/Izd5/ezHJdKXafVsSh1Zbrn+UmBha5Nsbc2HjSWUsOfH7352tb9Z3OnW5gRfJtnx9w7xsPwkz1La82Ih09P5+pxv9f3ff7JI/Tq4X3oYfProAQO2NPtBEGg3Y3PC9bKobV2mEJlz3/hOC6bhQaiICIKIvW2GSQZ+Nc0OK5mn10Az/dVHsZBNo+DOM68L9cH9xHDcZT999623QF/au+aeucZjhm6lzW2OfQbH/WbN1qD9/YwfWTEiAdB/x4bnszYl5XtJq7rF0EQANeF7VLzdl977Kh245pFScJ1Pa6ulB/xiO6cYRlcrh0ci/os8FCTOH7zN3/z2P/91m/91sMc2gMjEVUHOkGkb9O263b0O3pVRSQS8is9jWfCqKqEJArIshi0Guv/fH97XUHwW5GqiogkioQ1mVi34kEi5o+5rdsUKm3abb8lZ72uc2W5RLHaOnBs6bi214qxY7FVbFJt6qjy3jhjYZloWCEaVpBEAdt1EUWBE5MJejqjCGST/vjDmkxE26vEoClSUB07FlGRpL57m9AGrjcaVlDkwbZnrY61L7EjHffPlU2FkAQB13ORJIGJzNPZ0rbddeKNePS43WfyQQVJtnV/7saigxXlp/Ixmh0zWNDBn7+5dBhN3at0Pz+519ViOh9DUbrzSfCPUap1giCUHsMy76BWhf1/mx735VJIkzBtPwEkHlFJRv3PaKpMOqEFx4yGFfKpCJGQjO15mJZNNCwH19DDNH351WgZtHXrnh2mU/kY/Xu+njx1gt/QD+h+0Ab4/muUJZFY5OFXqlHkwfMmY+ptOx49C/SeEUEQCKkS4ZBEs20SUkQM0yYW3rtnh60v/XMwrMpkumuhLIvEwgdXnuifT+GQfN+6VfQ/a4osDlRFSkRVPHznpu24wRiaTV9PqDb9RDHdsNFNG92wiIRkLNvx25JHFXTDRpIEoiGFbDKELIm0dBNR9CtUpIbOHw0f/qzrhn1Hc8/qBoD0Npep4Xl1yLl6+gL4Muu4bUlDqjzQ2eO4QXs9mTIK+Hh0JGPqgOy/Vz3eP8bec6QqEqq6p6tO5aPYXWfgRC6K47q4novnuYQVEVkUcV2HkCqiqRKZVBhNFXEdF8/zMG37ti2CAVRVYjK3V6ErlwqTiKnB2DzPQxThSZXsPfkzYsSTSFiTB/TxkzMpHNfFMP0Ayogmk4prxEIy4CEIIEsgCh62YyN4HvlUOFg3ZclfQ/2OdHT/JpCKqbQ6Jqm4huO46KaNIEA8OurCMWLEMKGheXmctfYwakEnjtFc+0ufXSCfDlOs6fzXv7j1qIczYsQTTyysIPdVa07FNSIhGa3bzRpgfiKBafsBy4IAuWQIVRYJh2RauoVtO2TTIZJdOacqErlkiGxir/KjJAnEIzKVeoeQKqGbNpoi4Tgu6YSGpkqENJnZvk65kuRXn+4fX/++CPzAiEKlTVu3Scc1VFlEVSQUWURWpH2fv1OOa7PrmH5ye8f0bX224w7YI4btctGwTFu3gqJTiiwNfD4V10bBYyOeKfr1JFEUSPTtLyp1fcAfcdzjhEMyqrzf3jmdjw7YpGfyMWJhdWBPM5GNDvgJoxGFWNi3S6qySFSTUCQRQRCIhJTgvL1/Ox3fvzI3GQ/2UyFVItetiKupEoIIrY5BWzepNQ0EPAqVNrbt+jbA7vcs28G2Hczb+ObauoVhOcyMx/HwMG0Hx/OOXYmy3x87fC9vR//+EBj4/fqZ6huLLIv3vavE0+bDTMS0Afvis57Q3Y9lOwN2+mEkSSQeUTEtB9Pyu4NFwnvPdzqx/152TIeVrRr15mAhLdvxfQJO91xt3cT1PJxuzIDc54OYyESxHRdZgkjXDxAOycgCREIysiiQ6FYKnz6ka3P//Efwuyb04i7qTR3P83Bd/9yKLDKejdLSraBTs3aEnycW8fW+nu80pEq4nkcuGT6wuOVRsvlh0T8GX58c7YnvhmR0T56YloPW9dtX6noQSNzWrcA2rps2jbaJ141WnhqLEw+rqIqEKEBY8/8Ffz+RjKpMZ6NIohD8t1c1f68IK4K/HhYqbUzTZiwVIRFVCXfXn0RExfU8pseiwRocVmWSfc9e/zPR87U32uZjl+j2tK1JI+4f96JzHYdh/+RRxx/2o6diGq7rd7boxSE5vXWwu070r8FTOT92qN40SSdCpOMa9abh788PWGv7OTG1V30/pMqcXUhTqXco1zrkU2FURaDeNNANe58O1L/PP2x96sm0WFhBFIWB2IThazouU7noQJzhWCZEvWXQbJs4rjdwrzVVIp/es4nkU4PxVNNDMUTHeQ5Ktc6B+6KDdIfDSMZDRPp+88lD9JERIx4EkdBgLO6TuL+5eGoCWRbw8HO6VEVkIvvkdX+YzkexbRvLtJEEeO1c/lEP6Y6ZHY9hmg7Vpo6DO2BveNY4XvTZfeI3f/M3j/1ZQRD4lV/5lQc4modDJKRwYTFDrWkSCclHLrTHYW4iQTSsYNkumUQocH5EQipf+fQ8y1t1wpocBFLn+tpr+Ukbkt/uNxcln46QT4Up13UWpxK4nq8T5FJhNgpNvvPeOq2OxWaxxVQ2zPvXiqhdw8Ff//wpXh1qyem6HjfWq1SqOldXK8QiKmFV4u/85fOcX8hQqHZYmIzjAo2myYosoBsOqZhAOhFibiLBxm6TsXSEC4vZoDOA53mEQzJj6QjZZChoH6opEhcXs1QaBiFVIp0IMZaOUKx2cLvBKz0niWU7XFoqY5gOkiRwfiETBKQuTiWIR1TScY2QKtMxbBYmE4SfwjaetzZqQdW1uYn4XbdyG3HvOK7HleUyrY6FKAqcnk3ds3zoZ32nwV98sEGlruN6cG4uDQKcmk1xY63KH35vCcd1mR2L85d/4kSQ+PW1zyywtFkjrMmcnElRqunYjks2GaJcN9gutRhLh7m+VmV1uwHAi2fyPH8yB/gBLj2ZF+4GmQ1zcjpFMeZ3AoqFMnzf22Kr1MSyHEq1Ds12FLmr9EmiwAun8uSSYZpti8lchEwyzLW1CmvbdWzHYyGqcXY+Hdy/WtPgT95a8auG6DYvn8kxlY9zejZ1147T8UyEn/n0PJvFFrlUmOl8DNtxubxUpmPYNDomiiQSUmUyiRCnZlN3dZ7bMZWPEdJkDNMhndBQDnBgPQzOzmcoVjvBmjFi8BnZKjZY2WqyU/ar2kxkosiSwOm5FPGIypnZg1vYhVR5YA5mkmEM0yGTDA1shPo5MZUkEVVxXY9cKnzfEmpmxuKENRnLdkknBs+vKhKC4NHWbSIhmZAms11q8j//p49od6tMvvnyNJGQws0N/1oaLYN41Hcq1JsGSxs10gmV2fEYiahKodqh2bbIJMKoqszsuNpN/BjUd4bZLDZZ3/Gz4scyERb6WqceRLNtBq1bw5rM+cUMU7kYYVVG786rwxJhevqC47p3dK9FUeD8oj9nJFEkl7p98Emp1uHmRg083+BzL/JrxN0TCSlcPJG9b3o8+LJCVUSWNmrdzlcCsiSyOJVgeavG0lYd23ZIhFUcx6PeMnEcj2hYRpEl0vEwi5MJTsymSEQ1KvUOl5fKhNsKjutxcTF3rHH8D186x48vb+N68KmuTn9iOkk8onBzvYbreXx4o8ipmRTpxL0FTD1MVrbq7JT9yj8zY7FneqM/4slEEgUuLGYo1XRkScRxXIrVNj/8eItSTWdls85kPko6qbJdFjEtAUnyO9NZlsdmqcXCZJyffHmGSEgJ1rWfenmGTFxjZbtOs2Px7pUCl5cqnJlPYdouHcMmrMmH6hsjRjzL+PMyS6l2fF3uMKrdQKL7ufd/UlEVib/91XP8i//lPX73m9f4wqdmA7vEiBEj7hxVkbhwIkOlvmcnf//aLq2ORbNjEYsonJlPs1vq0DZsFibjbBRamLbNzfUqhmljWiJfe2maWESlWO2QSYaYyPhB0qoiohsO1UaHP/juLXZKbUpVnURMxfJcLiymCWsK5+YzSKLA2YU0IU2i2jSYGYuRTYZJRrUBO34P07T572+tUGuaSJLAmy9Pc2I6xfRYDM/zbSX3Int3K22Wt+rgcaTNrtbs8Nt/fJVW2+8memo2ydx4gtXtRrAn77fLJWMqN9frNNomQtfmmo6HODefplDtIArCyGY24pkjlwqjyCJt3SYZUwMf3Fsfb3F9rQrA2fk0rw35Foc5jr1zPBPly6/PsVlskU2GmOkmj33ljXmur1aQZZGzc2lEUeTiiSzlus6J6QRLm3XevbpLSJUxbZc3nh/H8wTiUZVs15+aSYSQJIHvfLCFKMJGocnXPjdHuWaRiWtomoxpOazt1PlPf75Fqdqh1jIIa4qfgJGPMTMe52tvzHN+IcNmocmPLu+wtFknrEl8+Y2FIAC8nxvrVb8KpQCzYzFmx+PslNpkkqFjB10LghD4Y4d9xLcjpMlYjktbtwlphxcLev5kjnhEodY0mZ+I31fd9mn0YcbCChcWs9RbJtGw8kgC6B9Hak2D62tVXNcjGlY4t+DrEMOEQzKtHT+AenZCYSoXO3Rv1uyY/Ls/vEyjZQbd/xankrR1iyvLFWzHRVMlkjGVH3y0heN4KLLIZ16YYjwTCWwiqbhK46ZJOhFmKhel2jCoVywURWQ8E+O5T2dJxVViYZVTh/h6kjGN8wsZmm2LeESh2bH483fWKNd0disdFqcShDWZz70wRT4T4fpqheurlW5nHwFRPNzGq8h7et/CRIJyQ6dU6+C4Hh9cL3BuPjMQzDuWjqDKEh3Dl80h7aGGBwF+cKmfAOz4Cbv3qRjZs0Y07Psrrq9WaOsWG4UW714rBJ1cUnGNsbSfWPfhjQI7pRaVhq+PX1zM8vzJHK+cyfPn76xxZbVCPKzSMWw6hsXabhPdsnnl3BjjuQjFqs50PsaFxSzvXd3lk1slTMthIhPh+dM5vv3eBqbpENYkvvLGAn/nL53nncs71BsmiB7hkMr6bouZfAxRFIIg8/79CvgJVpeWSmwVW5RqOjP5GLMTcRb7AsMfFUubNQoVf02aHY+PgqRHDHAvOtdxuBP/pCAIA/vQTCLElZUyzbaFIPgFHTYKTSzbRZFFpvJR1naawRrsuC5ruw1cF7IpjWJN58ZGFVEUGUsfvRf/W189z2R+lXrT5NPPTfDOlV3evrwL+DF6kiyxul1HlkSmxgbnUD7t7x1661N4aH3qn4PTeT/Woq3baIqIJIh8eKMYXNP5xcyxiy+m4iG++sYCqzsNPNej1rT4b99dIqTJLE4luHgiOxCjIElioJ/mUmEcx6Vc11FkkWwyTKtjUW8dz4/83Q82WN6sA/D8qRwvnt4LuE7GNC4sZGh0dYfYEQmPqizy1TcWuLleQVNlTs08epk54tlBkff22L158CSSCMuUGn7yaDr28PXj+8HiVIJLS2VcPNIhmcQT6HdSZJGNUpN2xyJnRVCkZ3ef8FCfwitXrjzM0z02RELKQAXre+UwAZiMaQOL/EFM52MDFVtURTrQCHZ5qYTjeJTrOs22xfWOSVO3CXsesijy7fc39iVxXFoqIYsipUYH3XKQTBtRFPjOuxucmcsMnKdSM0hEfOFhWi4r23VUWQo2ZLbjDbQW1Q2HsXRkn7E2pMlM9ilzoigwdkDVl1JND1pCOo7HdqnNielkcPx8Okyp1hkYY61pPFUOZN20A+USfMPz02AAfVKpdzvWgJ8AtVlo3Vdj9ydLJb/Fb9s/R1O3mMrFmM5F+Q/fuAaAJIpsFlvIfa0TYxGV50/tyZF+Z+N4JsJ4JkKtaQQJHACf3CoFSRxwe5knikJgRFrarJGKaTQ7NtGwbzxcLzTZKjaZzPmySpFF5vsCs+ttk/WdZtCZYKc8eO+urlYwTIdG28R2PNZ3W0RCKq2OdeRm53bk0xHy6T35UqrpgZwqlNuENYXJnEy5rtPWrfsq9/t5HOSSJAr3vcLW00C+m2z40c0i0bBCtaFTqhtdw42IKPgBYEcxPAdvR/98ut8cpm+Uajp4QvAsbpdavHNlp9si1KPZsfjwZpGZsTjlus5YOkK9bZGKhzBMj47pkk6EsWxodmw2i/4cTqJhmA7rOw1OTCePteHb2N1ra7hbbjOdjx6Z3LRVagWVvTqGHYzvOEHqPX3hbpAl8Y7W3I1CM2jlWm0Y9yy/Rtw991uPB79ilu14gbPKdlwSMY0rKxWiIQVQ+MFHW91KkwKCAIblIgoiybiGJItkEmHqLRPDcpFlv9qagMDl5TKffWHqtmNQVYnPvTg98DdRFAhpcpBI6Xn+s/ikJHFYthskcIA/9slcdJQANeKJQ5H39ujvXt3FdcEwHWzHw3Y8tostWrpFIhbG7CZBA8iiiOfB0ladWtvgZFApz+e5U3kEUeT9awXAXwc/vllifjxBOBHC8wjWxREjRgyiyHemyx2EbthBpfZREofPm6/M8l+/u8T1tSr/6vc/5B//vdcf9ZBGjHiiCakyk7k9O/nl5TKyLDKWjlBrmLTaFrlUGM/zbeNj6QjbpQ7lusFkLoooCKztNPnCp2b3ybx0PIQZcvjg+i7Vhklbt7Ecl1bHZjwbwXYJun70qlLOTyaY7x/fkB2/x/J2g1o3yc1xPC4tlfnS6/P7Pne3bOzu7a+Pstm9fXmXVteO2jEsdsptTs2k/T25vtdhtWcLqTYMGm1/3J4Hm4UW6bgf4DGyuY94lknGtAFdxzTtIIED4OpKhZfPjAW2h4M4rr1z2F4Pviwctq32+0G/9+FW1/YCzbaFLMsHdrm4vFRC7VU4bxhsFXRev7jnE92ttNkpd6g1TTqmTVt3aHccNM0vpJeMaSxvNzgzl6bSMBC6cqhjOFxbKfOp84P+1bZu+QkcAB6BjajnM90qtojPHc82eLdyaLvUIqTKfgCc59uAD/MBLEze/0Cxp9mHGQ0rR3aafhbpt9O3OhbVhr7PH+C4HrvldtAJa6fUZnbs8OSe964WaLT8tdmyXd76ZJvFqSQ75XbQocIwHd76ZBvH8YLPmZY90Pni6kqFfMp/9tsdi2rD6FZbl9FNm8+/Onusa4xH1KDjxI8u+ecs1jp0DJtqU0eWIujdc1+6VQ70k81Ci2pDJ3VEJ7J+vS9ckoPrcRyPrVKrr3uCTyqu3fcq8XfKk2JjftyJhBRM2yUSUrAcl0u3SkxkI4DAJ7dKZF4M0WgbXFuroskioiiyW9H57AshREEgm4oQ1hQWJnw5fnWlHPieChUdx/V4+cx4cD7X9ZMswF9Pyw2DW2tVzG7cTcdwuLZW5ZWzY7z5yizNjsWlW/7n8aBQ6fDimb11uX+/Av5aoxsOxarfoabSMAhpMlP52JEdaR40puUEweOw52sYMaKfB733uxP/ZP9YKg0/xg/8veql5RIRzT+OZbtcWS4T7r5udSx+9Ml2ELt3baXCeNMM4nA+Xipz4cTRxeO+8OocAKbp8PHNEqGuTeCdqwUWJuPBsT65WebUzGDy42Hr0/AcvLZaJRpWgv345eVy0AnFsl12y23mJo4u9NhPOhEinQjxwbUClboedASqtUwK1Q5TucH9Qb9OLImDMZbH1fOabTNI4AA/vnI4vjMWUY8dDxAJ7d/3jBjxsDgs1vhJYXWrTK1lI3djkIs1i2KlTe4J849+76OtIEG72bH51rubfOUzi494VHfGDz7eRpUl1LiEbbu8d32XN1+eedTDeiQ8NWUWf+mXfomvf/3r/NzP/Rx/62/9LS5fvgxAqVTil3/5l/mZn/kZfvZnf5a33377EY/0yUDpq4IPBJsksRsEdVAWa6+lsSL6//Y6kIVC+z/b356s//h75xcGEjZEUeBe4q8kcfBRl6X9Bxuu8n1QxY8nGUkUB+6hLD410/+JRBp63mT5/j5vqiwhsDdnFVlCFAVkWULpm2+iAIp6Z0YQRZYGnqV7qZjSm3e9OSkK/lyPhA4/pioPPsvqkMOn91oIrr0rzw6p5H+39MsRURL3ZJZw/8814slBFMXguZYkEVHsXzufjqzh4TVUkcSB6k2CAJoiI0kCgtBdzwV/LsqSSP/yqqniPh1geE4fRf9cE4S9e3342If1gcdzrg7rLSOZ8nQhCIO6sCgKiMLg86jKvXUREEBEQEBAFkRkSUISBGRRCL7TW4N6AQZ3y7458gRV5R/eL/i679Olz4949lAkEUUWESURAV9+KJIvB3qz05che8+6piioh6wbsiTQv8SosoQg9r//5Mz5ESOeNKpNvzKmqkhPzb7gXpFEgb//N19CFAW+/+EW3/1g41EPacSIp4r+dV2UhGBfKQhCYCtT5EGdWTliP+FX0JWC/0cQELv7mt7+5m72D8N7mPtdmXlgTMLh+k441G/XEAZsFfIBfoJ9tpEnaO80YsTDRBTFARuILIs8SteUOlT85TC9bFgWRYaS0OSuP0AUQBTErq3Ht+MM22iGbZ8HBaXKkgjC4Z95GHu1/XbTh2tT2efDHO1Pn2qOY6fvn09w+1iBsHbw/B4+9nCMQ0gZfN3vQ5UViX6xodzlc9mTKT27f+/f3rllZVBfuRMb77AOcrdjHPHk0NPrJdHXw4VuIShJ9O1+iuL7D3rriiIP6upa39rn+zT3Jtbw+ieK4kBFZEkSCIcHA4z7n8Fhvfl2+4PeuXvf8/2Kjz5OZ1jePOw1ccSIe2F43dvvhz9cN5W7/ojgvSMKJw4jSYNzRZXFfvX2jvb60tAcHP7u8Dp5t75MWRb3fPACvu/1Aa2jsjzSdUeMeFyIhEID+29BEJ64BA4AZci48iQmTYeHbDLRA2LMnxWemiv/l//yX5JI+JmV3/jGN/gn/+Sf8Pu///v883/+z3nppZf4N//m3/Dhhx/yD/7BP+BP//RPkeWn5tJvi+24rG43MEyHsUz4wMrWrY7F+q5fWX92PM5rF8bpGA6KLCBJAookdyv8iiRiKn/tCyep1HXeubKDabnkUmEiYZloWObMfBIEv0JGNhnmr/7EIs22yXqhiSgIzI3HmZ9MYDvV7pgiTOdjeEC5phMOycyOJ4A6f/7OGgBfeHUWy/F4+9KW3zIuLDGWihKLKMyMxW4boJVLhWh2TKoNg/XdBh/eKJKIKnz1jUUSMX+jOZ2PsrJdp9m2WJxOPHWVERVZ5MR0krWdBpIosjh1/EzkEfefRFRlKh+lUOmgqdIdZYYfh1fO5lkvNJAkkXxcY2YsxsJkAkEQ+OlP+dUuHdflC5+a5YNru1TqBlP56G27+Vi2y2axST4VYafSJhFReeP5yX2fcxyX1Z0GuuGQTYUOrZw1lYvS7FicnElxdbmC43rEwyrvXi3y6YvjREL7M81Dqsynn5vgg2sFZEni088NVq26uJjl5kYNSRTQIgqL0wnmJxJU6jrLTZNoWGZ2PM5fvL/BW59sEw8r/M2fPksmdWcKTTYZptm2KFY7JCIqhuXQ1m0unMg80uogIx4dm8UmtYbJyakkq7sN5ibizE3EfaU/Feb8wtFdOG6HaTmsbjewHZeJbJRUXKPa0Hn78i6O6/LCqVzQweaOjmva/OjSDo22haIIWJZHJCTx2oXJoIpFP9lkmHev7LK0WSeT1HjhVI6vvDbP1m6TzWKLiUyEz70whSQJuI5HvWUxl4+xMJ3wK0ItedSaJotTCU7NpJnIRNHfd2h2/L/NjMcPHKdhOaxu13Ecj8lclGRM4/RsiqXNGp4LcxPxgWQHz/NY22nQ6tgk4ypTuRgzY3EMy6Gj22SSoYfe2cZxPVa36+iGgywJOK6HLIvMT8QHOoicmE5yc72KZbtM5WP7WsiOeLIRBIFTMymWt/yKK/MT/vr8Ey9O8dYn27iOx9/5S+f4N//lku9EwSUZV5jJJ5gdjzM7FmN1t4FpOTiOS0STScZ8veKFbmesj24UWN6qU6h2GE9HOD2X5sxc+qhhAX7FmNnxONulFqoikUmG+LO3VzEtl4snssweMj8fByTRv6+r2w0E8f5Whaw1DbaKLSRJIJ+K8MH1Xdq6w9n5dNDdb8SIB8GJaX9v/fKZPFeWKziey0ze7zDzya0ytuExlY9SrRnU2yai6wdplqo6b1/a5uNbJWpNg5kxfw184VSWRttidbtOMqbx3MkcK9t1tgotsslQUCFyxIgR959aN4kjFVNHSYZ9LE4l+etfPM3vfuMa/9Pvvs/J6dSouuWIEXeAbtqsbjdwPY+pXIxEdG8t7+0vmh2Lk9NJipUOrucxlo7w2oVx3rtaoFhtoyp+IEE+HeaVs+OHnkuWRF4+O0a9bfLhtV1U2fcTjGciTKSjLG3VqDZ1Xj4ztq8y/lEsTCZ558oOV5YqJOMaP3v6+BXjBvb9MZWpA6rpz4zF+OHHW1iWy3Mns4cGjnz6wgTbhTZruw1yMylSUY0PbxRZmIhjdyuF9xOLqMyMxdgut6g3TTRFYqPQPLCi/4gRzzKyLPLZ56d45+ouAK+dH0d8CFkctuOyslXHtFzGMmEiIYW1nQb5dIi2YWGYNsmYRrHaoVo3MG13wN/4lTfm+P1v3aLWNDg1l+a5U4MViDOJEBcXcximzWahhSaLaJqI40A0KqMqItulNh3dYTofo9owKNY6jKX3bMTDY1ycTHJ9rcwH1wtIosRkLsJULta11RwtW9q6zVufbKEbe7aKWtPgx5d2jm03nhmLYZg2bd0mkwgR1mSurpQB32/8oDqP99jnwxzZW55q5sbjWJaLbtrkUuEDffI9G+rKtm9D7fk4+ynVOuyWO1xeKVGp6ZiWQzQsYzsenifw1sdbvHAyy9uXtilUdWYnYrz50hR/8L0lqg2TXFKj0bYo1TpB/MTZuRT/4ZvXcVyPv/y5BV46ned7H2wgSiI/8/rcvnHuVtqUqjohTWJuPH5gQaZXzo7T6lgIeNRaJvl0hIXJBGOZCDfWqkxkIqzuNFAkgedP5QPf6HB8RegAP0EmEaKRsajUdSIhmemxkS7ytOP7Fmp4rsTnX5nlnSs7ALx0JsfHt0pIosBPvTzFlZUq67sNYuEwzbZJJhGiUteJhRVKtQ5bxSaG6WJYDhdPZHjpdH5fHNH713YxLJulzTqhkMRziznyqTCNttnt6Bvm/Hwm+HxIk1mYTLBRaKLIfjzK8HrXf46er912XKoNg/FMmIWp5CMPbpalUVzNiCeXeERleizGbrmNpkosTiX55turbO62GM9G+OIr0/zo8i7NtsXCVIKXz+b59398Bdfz+NLrs7x2boqPbxWQZYnPHhAHdBiSJPG1zy7yZ90Yv8+/NMP1jQpvfbxNWJP5yZcm2Cq2/A5XYZnZsfhAsubgsUTiUZXvvr+BJIp8+fVZBFEcuKaNQpN6yyQRUZnI3J0tsSejPNcjGlaYHouRT+2Pp+ynUtfZLrVRFJH5icRA0ovj+jaKXhxCfwePkCrzmeeneP/qLqIk8OmLEwcdfsSIEQ+BXDrCickY19b9OOnnTqYe7YDukq//1AL/5g8u47oei1MJXr94fJn9uPCFT82yutOgXDNYnE7w8plnt8PQI4sI++IXv3ik01IQBL7xjW8c+3i9BA6ARqMRHPuP//iP+eY3vwnACy+8QDab5Z133uHTn/70XY3b8zza7fZdffdRsbRZp1z3ncXFaoPz8+mBoEzP8/jwZhnb9luJVuotXjiZ5adeHKNY7bCy7SspL5xMMTseYyztv/4vf3GTjuFQrus4jsenL46RS6pcXJzg535yITi+6zp8eH03aOVZa7S4uJhhYXxP+Wm32+QTMvmEb1gw9DY/+HADsdvr/IcfbTC9VeXWZp22YVNrmFw8kSaTCOHYZjCmoxhPKXiOyR/dKIAHuyX4fd3gb3zxFADLWw1UySMTl6nV2xRKtaeuvW1YgTMzPeONTbttP9LxPOvMjMWZGXswwZDlhsHZuQxnu/bEk9PJoPWe68FPv+a/sbJVp2PaiIJAqdYhHlGPDEZc2qxRbRik4hrphMbzJ3MHGg3XdptBi8NG2ySsyQcGhUmSX4X/7FyG2bEYP760g6ZJbOw2+a7t8DOfXjhwHKdm0vvaLfaoNAxmx+LMdu/twkQCSRJY2WoG49kqtfhv31vC67Zy/Z0/ucLf/5svHXrdhzE/mcD1PJw+Z+6DdmaMeDwp1Tqs7zSD1595bvLA4IF74dZGjXq3HXijbfLi6Tzffm8jaBH+rXfX+YXPn0I9oFvWUfzo8g7LW3V00+b6WpXFqQSxsIrjbvLFT+13Sqxs1dkpt4mEZHTD4aObRV67MMH/4RdeHPjcVrFFf5zDwkSSjmEj9KW19+TJ1z67cNtx3lyvBu1fmx2LF0/niUdUXjikVehWqcV2ydfZGm0/oCKbDHOuz6D8sFnfbVCodLBsh+WtOtP5GJGQguO4nO0bV1iTee7k0e1pRzzZJGPavsTJyVyMv/qmr5d+88crzE0kSMVCWI7Li2dynJ3L8OLpvJ9UYTpsl9uAx6cvTpJPh7mw6AcBLG/V+OB6kdXtBtWmQbGqU2kYpOPasYKpJnPRIHjyD7+/RLmmA/DdDzb4uZ86dWBy1+NCrwXy/cSyHa6vVXHd3r5kK9hrfv+jDum49kRWthjxZBANKzx/Msfz3TXh+lqFW+s1CtUOs2Nx2rpNJCzRattkkyEMy28d/s7VXXYrHWRJoFTT2Si26BgOmirxqfPjfOq8H6CpG/5+sDfnl7dqnJ69fcLXiBEj7pxa09fZn7aCIfeD/+3PnOWjG0UuL5f59X/3Y/4vv/oTB3YAHjFixH5urtdodbr75HaFl87kg4CnyVyMr35mgY9uFKk1DZodi0hIRlUk6i2T3UobTZHRkn5S+FfeWLjt+TKJEG9cnKDV3ZuDb3NcLzSxLJfdcoc/f3edv/6FU8cO0t4oNOnoDvOTvn/n8q0yn3lh6ljf3S61B/f9qrQv8Gyr2CKb8P9WrhvMjrsHds2QJIm/9sXTAFxZKfPBtQIhVWK70uaTW0VeOz+xL8BkKh9DFAVsu4FhOWzs+sFqhxWzGTHiWWV+MhHM8YfF8lY9sGc0OiZ4Hr1Sm4uTSRA8bNsPsipUO5yYStJom8iS2C0eE+YXf/bikec4OZNkeizKRzeK/uHxbQiKLLFZaHJjrcpkLkqjY/KZ5yf3+VGGx/jciSzbpQ71lgVY1JoGp+fSx7Jlfv/DTbZLLf//P+qQSWj8xfsbgQ76rXfX+fnPnzpSx5IlMbBPep7H+9cKWF2/cVuv8PLZsduO417JJg8uRDji6UNVJM4v3v7ZTsU1UvGD7f9t3eLmRo2NQoMffrSNpojEIiqJiEZIk2l1TK6vmaztNNBNh0hIplTV+fBmkbNzGTaLTZpti0KlTaNjEgkphDWZv/hgM/Bn/uiTHX71r7906PPfaJssb9a7/+/HtywcIO8iIflAXevKSpl605c9J6eTvHg6HyScOq7H1dVKEF9hmA7Pn9rvM+id86Dzjng6SUT3/GLvXd3l5TNjOI7LDz/ZDoKPO6bLZ5+f5Pqa/3qz2OLGaoVy02Cn3AEPilUdRZWQJIFW2+L5IV/bjfUKH98ssdv19wueQK1psFtpc/FElonswUHTY5kIY32ByzfWqwPrXViTB3zpj0JPOA6jNWnEk8x0PhYUGLi8XKJaN4iEZBotk7cu7ZCIasQjKobp8IffX0br6og/+niXr39mkbNfPHNX572wmA18lbvlNn/0gyXScd9/9idvrfHiaX89bbRNFEk8NJbCtF3ev1YIdNe3r+zyV988NVA04dRM6q7G2E8kpPDi6fxtC9320A2b6+tVumGMuK43UEBvY7fBbnnPRhFSpQFb8Inp5Kgw3IgRjwGdTofV3TZq1z54c6P+iEd0d3zrnU2SUV/G1Jsm11bLnJl7dLFQd0OtafLpvuSTetsiHX82i2Y/Mo/Y66+/vi+Jo1Kp8N577xGNRnn99dfv+Jj/6B/9I9566y0A/vW//tdUKhVc1yWT2XtAp6en2drauutxW5bF5cuX7/r7j4KVXQPddIPXTmuHeHjvgXdcj6VNfeA7krGDKAgUahblxl6gf7MiU0opuK7L2mYDPKi2bBwXllYMVFnEa+8QDe0d37I9lrf3ji8IIOo7R47Zsl02txoDf2tUROodl5bhopsuy6sdWkklGNNxWNrRqddbe9duNbl82Xc6rRYMOsbefbJbOyQiz6ZgGPHkY5jO4GvLIYZvfDesvfeaHdN3qnbFcaNtHvu4nucf96AkDt0cTBAyTIf4If7L3md108X18A2SMjQ7d5dkNHxu3bT3Vb7ZKbcDxwpAvWXc1bnggHtt2sSesgSwEbfnoDl3v+l/tj3PN2C09b3ACcfx6JjOHSdx9AI+DNPxj2u5EIZGX1BGP/UhOdE85HP75IDlHPi346L33WPX9bpO0cODQvbPzfv/m9wpvTH4lcD83zDC4LWNGAFQa/jzzHF93bTZsoLnvtW2cFwXr7uQ6YaFbu4lSvYSu8zu/Or922hb5O8wNrvZGZQxbd18rJM4HgSW7QYJHODrSomuQQTPv0ejJI4RDwvddDC7QTSG7eB6Lh3Dr+DqdmWC47q0Oxam7QD+Oml15UD/nIbuOuwNHn/EiBEPhmq3E8coiWM/siTyj/7Op/gH/7dvcWujxj//9+/wj//eawdWsB0xYsQg/Xtsf7/gDlSttWw32Hv2XoPv2OsFBAK09OPb4OrNQX2i1jQH9ttmV18Jqcebw83W4PEanaNtk/0cZH/c/5k7syUA6Lod3Cs8P1DDcV1Ecb+vYNiu8TjYHkaMGDHkx3A9WrpFLOzbTkzbwXU9ZEnEsl0cx8P1PCRBuGObbk/O9mi2LdIJKZAhlu3CIX6UAXnR/Uy/n8L1POrN4/ktWn02Yjx/HMM2Hd2wj50o21tTeli2i+N6SIdUSx4x4lHQs2n0kkt79rtSvcN0fq+AXrVpDDz7lYbJZFYJnnHTdgl5/pwMazLtvrlj2S4d00RVDw7kHl73h3WT216DMehzNS0nSOKwHXdAX7vTY494+nH6ZLVpO5iWg+t5iIJAW7f2+fgqTQM8P+GwpVs4HigeuOwVnuin0bLwPA/HcbvncnBcv7DhnayXw+udablERub0ESMeGvtkQcPY83EBTd0Oyi9ajkuxYZJM3nthgkrTGCj2WB2SM0f5IkzTDopQw14sw6Nm2J+yXw8Y2QdGjHgS2Cp3Bnz/ju1RrnbI3KYTz+NGvx3A9fyCsk9aEsfIrrrHI4vA+fVf//UD/16pVPilX/ol3nzzzTs+5m/8xm8A8Pu///v8xm/8Br/xG7+xL1HE67em3QWKonDq1Kk7+o5lu7Q6FiFNJqQ++KQA13XZKLSRJYHJXJT8ZIePbpUxDIdsMsTiVJxISMa0XFRZxHRcvFDTD9oEMgmNxakE5bqOEO6gxf0KEKIIZ2ZTQXeKmrvNpVtlYqJFSJWYmMigKhLZdJhMMoTnecE1h1JVGl2HTD4VYm7CrxpqWg6xiHJgS8Sas8Vm0U+4mMpHmR2L8talXZKW305xbjZJIqoyNx4LWvuCH1jleRCPKPt+/4VFk836zSDg9LWLY5w/77cpG5vSWe4mjiiKyIX5NPIRDp1Wx8JyXBIRdaAKl+24NNsWqiLdU5Bbs23huB7xiHJoG7kRD58HmcRVb5m4rkcyph7Zqeh2WLZfUa5n7FMVMdiICYJAPhUOumScmkvz4fVdag2TSERBEgRs22W90ODKSpmLixlmx/eywfPpMKvbDTzPw3W9/j1KV/a0cFwXRRIp1TvYlstYNkwytr8LR49cym+VmoioJCIqWldOnphK0Oz4rc0RBFRZPLCbxzDZZJjdiq90mZaDJImkYprfFcD1EAT41Pk8H1wvBHJpuB367Wi0fWd3MqaSS4WD7gj993rEs0U6EWKr1MJx/GesV53FsBzaHYtIWEFTDtcBSrUO9ZbJZC56qDMtn46wset3+4iEZCKazMJEgkvLJVwP8skQxapf3aEXHNY7fzSsBMb/YU5OJylUOkRDChFNQpF9g+90LkqloZOIqAMBVHPjcT6+UaDZsVEVEUH0+PhGkfOLaSRp7xy5VJhitYPndRM4Bfz5LQCeH6yVivvjbOuWn+wVVQ9tk5xPhdnq6gXRsBLcp3rL9HUOVepWJFeCrhu984Pfenyr2CQVD6EbNrGIetvADfBlarNb0bNXHciyHZpti7AmBw7Y4/zWuVSYatNA6+oI0e7x8sfoKDbi2aDeMjFMi3QyRP2qgWE5SKLI3EScWETBclxCIZndUhPP9ZAVf70vVzssb9WIRxQ8fMd8KhGivlVDFAVUSTy0Mtbw+ft1kcXJBFdXKgCk4xqpmO9daXYsLNshEdXuiwO/2vC7hYxnwkRCt1/rHyZ2N5hDwNejzs1ngj1KLKIwPpq/I+4jR82t9d0mW8UWjY7BbrmNblqUa7q/HnoOiihhuR7xiEo+E0aSBNrdThv+3hiSUZWVrToT2QiaKhMLK4Q0Cb0bNHC7VuEjRoy4e2pBEsfjtc49LuRSYf7JL77O//lffZ+3Ptnmf/79j/g//cIL92QbGTHiWSCfCgedKCKaTEf3K7d3DJt8KkxIlah3TAzTxjBtwppGq2NyYjrHRqHFTrlFs2OyOJlgq9hEEAU0WcLD3/daloskieimTUSTMWyHWFRGVUTflyDAqbkk2o4U2Cum8r5do2PYlGs6qiKSSYQOTcyanYjy4U0Jw3SwXZdcKhxUsr8d/ft+URQOTK4+zJbQT88WGlJlJrJRxjIREjsN6i3fFjCeiR46nmwiRKFrhxRFgWxyFJE24mAOsiWN2E/PDhfS5MDn10+rm7CeiKhUm8ah9tSwJnFrvUo8opJOhsgmQ5Trvj6WSYQwbYcry2UEwSMWUZBEsWvT9efwRqGJ63pM56NHdhaybBfbcYNCUgtTCeotk0RUZavcQgBUVSKkSCxv1ZAlkWhIIaTJ5FPhICDNcf0CEmdmk2wUmnieRyYZZn7qeJXJT0wl+OB6EYBYWEFTRMYzETYLvvzLJsMkosfXQyXJl91ru77PdHY8HuxRdcOmY9jEIsqxZPWIEXdLz+7veR6CIOxLiI93/YlT+RiXl8uIgoDjenzm+Qm2S+3AV/PymTE+vlXsBo7LPHciy2ah6SdyiQ7RkIwH2I5DtWkwnYtxa7OGIMBYOoznCVQbBqIokIiqOK5HvWWgyBLJmO9jsGyXtu7bdVUZBEEiFlaRJWGfv+DGWoXtcovnTubIp8Os7/Y6vHuY3WIyouj7RBMxlXrTvw9hTaHRNo/lJx3xbCCJAplEiHJdJ6wpTOej9Ko2LkwkmB6LsV5oYJp+EvNUPkax0kGWRdKxECG1jm7YiMDCdIyb61VScS3wby5MJri0VEIUBRRZIBFTEQRo6zZKn27fvy402xbVpsF4JurHI9kuumFTaxokYxqaKhGPKNiOS6M16HcD349XqHbIJEL75rzruqztNJFlcaAa/4gRI/bjOC71tommSJyYSnBtpUzHcAhpEs+fzHY7v/mxLWdnk1xZqeIBE5kwM/kI1YaBJAnEI+pt9fNhejbQuYkEyZgWvH7hVA5JEvpiKfbvnT+6UaDRNnnlzDj5dIi1nSYCAmcX0lSbOh/fLDKWjhwZpHwc/2W9abK0VWUsHWEyd3x5EouohDXf3gH7/fv5bhwAHsjyXhzE3TIcP3FUPNmd/k6PCz19LxG9txi5ESPuhBPTGSIhgWrT941OZMJPXAIHwIWFLH/+ziquC5mEwqvnJm//pceMXDLM2nadZtsimwrds9x8knnsJHc6neaXf/mX+a3f+i2++tWv3tUxfv7nf55/+k//afC6XC4H3Tg2NzeZnLz7h1YQBCKR42edGpbDlbUStu0iCAZn5tIPvOren7y1zG7ZD9A+PWuTToTYrRi0dIu1QhsEiZ1Km4lslELF3wRFQjLjWY18JkIqprG8Ved7H+50gywFfuLFGXKp0IBxORIOIckyku0hyxKNjsvqcpVMIkStZfLSmTzRkMK5hQwvnJ6k1vQNHMmYRqnW4dZ2GzzQVJuLJ7L7gja//MYiqzu+gXBuPI4oioxlE2yX2hRqbUzTY6fSQVFMKi2Xk9NJmm2LnbLf9SMVH2xdBhCJRPiln3ueqytlUrEQJ/tarEUiEdKpOIZpk4hqRwZ2bpdarG779zgadjm/kPFbpzsu12+V/MwwwQ+MvZs2ixuFJhu7/vHjEZdzC+mRwvKUs7pdD5yuyZgatK2+U0zL4ZNbJb8CFP7GYWYsPvA8L04lScf9RKtbmzVurdepNgxcPBRJ5PsfbfD+tQIeAn/43WX+9z//HM+d9FsITmR9o8vl5TIIcG2lwmQuyux4nG+9u87qdpNC1W871tIt4hEV3XJ4/uQYyiErzlg6QiSkYJg2L57OsVVudQObBT65WWR9t4nrecyOx5kdj9/WMBMNKzx3IsvSVo1S1WFjt0m1YXDxRJa2bgUtkf/+33yJ967ukkmEgtaNx2FtpxE4f5MxlTNzacKajH4M2THi6SWsyTx3Mkezvdd2u9WxuLxcDozuFxYzA8bIHkubNb734SZ4voPxa589cWAS4HQ+RjyiYjsuyZiGKApMj8Uo13UabYvV3SaNtoUsi3zh1VliEZUr3fNLksD5hYPPf2rW100qDZ0z82l2K21My6XcMHBXq4RDMhcWs4GhI6TJzE0kKdY6XF+tsLbTQJEl3r++y9/+2oXguPGIynMnc7R1i81Ck7Ud3xmRiqtkk2HiERVVkSjVOtzcqHV1AulAnQB8Z2HPSdK7/pWtOjvlNoblUKnrTGSjiKJ/rYmoGvwmP7q0zbXVCrppE9ZkTs+mUWSRiyeyhya3gO9g/+RWKQhOOT2TIhySuXSrjO24CAKcnc8gSwKXlm7/W2cSIZ47kaVj2Lx0JkdLt1EVaeR4GQHAynadjZ0mb1/ZodYwKFQ7aIpMJqFyYjpJOq7xh99botow2K3ppKIakiTwnQ82UESJb7695gdHib5DJRqWmJ+MIwgingBHxBwAB+sir12YYDIbxbRdZsbjyLLY1YN9HT0aVgI9+G7ZKDT51jtreB6ossRXPjP/2FQp3yq2WNtpBEmrZ2ZTftJesUlLt5gZi99x96MRIw7jqLn140vbfOOtFQpV3XcCuA5Nw8ay/WAGVRbJJhXOLyT50usLePjJUZeXK4ynQsxMJDEtmw9uFMGDVFzjS6/NEdL8Nb7WNEbr0YgRD5heVcvUY7LGPY5cPJHl1/53r/Lr/+7H/PEPllEVkf/xrzw3soeNGHEEvaAIw3LYLDT58aUdPrxZJBlVScQ0wqpEpW6wWWwSjSi4QCSssLrd5I3nJvn9b1/HcTzev1bk+lotCKJSZYFS3UASBAq1DomwQq1tMpWLkYprnJ1LE40oJKMa+XSEE1NJVncaeB7MT8SpNgx+fGmbnXIbWRI5M5/mxdP5AwMoIiGVv/y5Ba6tVSlWOti2x0c3S1w8kT2yGAYQ7PvbukUsoh74+YNsCf3Ytst//+EylYYfWPLcySwvnRnj8xGVcr1DLKwemZgRi6g8dyJLS7cOTRIZMUI37X22pDsJqH9WsGyHj2/6vg1BgFOzKdLxvfm3W26zvFUHoNzosFvpIOIHSP+lzy4E869QbfPjyzu02ibFWofTcymmx3zZ5HkeqiLwu9+4znqhieDBq+fGWJxOEAv7QVk/+HDTt1Xi+0O+9PrcgeO9uV6lUO2wttvEdV2mcjGSMY3Z8TirOw0kyU8McWyHP317lVKlQ6HaYWYsxsmZFKdmU1xYzHBzo0pbd7m5XqNjurxwOkezZfH8yRzj6dsX5AB4/lSeXCpMS7cwDYelrQaxsMqpOYWxVCTwsd4ZXlAcpyc56y2TqytlvG6BngsnMiO5N+KB0LP7bxWbeB5M5WPkUmFOTO8VnZMl375fqungeWyV2yQjGi+eHuPV8yK75RbZRBhZFqm3DGpNg1w6QliT8ARfjxhLh4lFVd+H8MmO79eMqWQTIRAgmwrz5++sI4kCE9ko+UyYdscOErDmJuI8dzLL8nad77y3Tsew2Cm3mZ9IIIgCz5/IkU2FA3/Bn7+zyh//YAXPg2++vcY/+N+8zLmFDKs7dRptixtrVRIxlbNzflzAmdk01YbOzY0aHcPm8lKZ6bHYKIB9RMDJmSTZpr9Wvnouz+pOE1EQmJ9MUG0YzOSi3NysIwoitzZq2LZDLKwwORbh2qaMYZq0DIt3LhfY2G2TT4f53AvTnJhOEtZk5icTRMNKUFCq0TTZKDRRFRHddMilwsG6UKp32C23kUQRTZX48mtzfPv9DRotE9OyiUayvHJiDNeDT7qJVT2/WzoRotrQ+ZMfrmLaDpIk8PlXZgaCq//s7bXAf3FqNsUbzz15gYojRjwMHMflk6WSX7hJgMlslLkJv4hzOq4xO57AgyAuLpMI8Sc/XMa2XV5/cYKlrWZQwHQsE6baMPbm65B+PsytjRrFqh/nlkmG+HtfO8ellTLJqMap2TSG5dBsm4Q1eZ8f/T988xo/vrQDwHc/2OQrr89jWC6iIJCMqfxPv/s+jZaFIMCXX5/jS6/P7zv/cfyXtWaH//d/vYxuOogCfOUzC7xwKn+seyt1YwCqh/hT0n1xAImoek8Jz8PxE/GIGtzbVFwbiIXsjxETBDg9m34iAqF7+h7sv6YRIx40kiQh4MtJ13syuz9cXinRa2RRaVp0DPOJKyLWaJusbjcwbZeGbvHcqTyPWb3Ph8ZjGWmaTqdZW1s79uebzSY7OzvB6z/90z8llUqRSqX46le/yu/8zu8A8OGHH1IsFnn11Vfv+5gPo1LXgzZfngeF7qL6oKg1jSCBA+DWZo0b61VfOfAEdNNhveB33SjVOnQMm3rLRBAEdMshHQ8hCALX1ypBGzDb8YJOIj1c1+XWZo1kTEMWRdq6Q6nWwXa8bgVhh91yG8+DYrUTVMLqBWTtlNvB8Q3TCZTAfkRRZGEyycJkMjAu5lIRkjGNqOZXr3Bd/3x4UKh02Km0g+9XGwaWvV/QxsIqr56bGEjg2HtPIZsM3zYIu6dIgF/5p91tUdS7dgA8Bn6LO6H/+I22GWTyjnh62a3sPSu1pnnXbXErDSNonaopEo7jHfg8p+Ia6USIty/vIEkiXtcgv1Vs8dHNEla3dZjluHz3/c2B76qyhICA1J2XO+U2bd1ks9DCMG1c12Nlq4EAuK4/x9e7FZsOozf3ohGVUzNpJnMxdsttTMuhY9gYpoNh2gNz4yhCWrfbUNd52+pY2I5LNhkOMs9TsRBfeHXujhI4etfbo9Y0MSyH6DFlx4inm173h94zVqztteFzXc93JhxA/5rbMRzWtg+fL4moGgRpgy878ukInufR0W2/lbHjcWO9Sqm6d37HOfz84Hf5GM9EkSWRqVwMQYBaN4Cho9s023vrdKWuo8gik9koxWonWPc2Ci2KtcF1L6zJRMMKnb624PWWRTYZDuZnodIZ0Al6FTkOIhnThq7fn4+Nlkm9ZWJ1K1X1xhHWZBRZpNKttNfq2EEFfcv2O3sdRbVhBp3K6OpxlbqB7ezpdsVqh1JNH/iti0foe5GQLy9CmhIks4wYAX4wQqWh0zFsdittREFAFEBVJNZ2Gixt1nEcj3bHQpFEDMuhXDfwXGh0TAzbYWWnjtV9PjcLbbLJCJlECMt2g+qLh57/EF1kZjzOiekkaneN260M6sH9rTrvhpvr1SAowLSdICDjcWC3u+ZLgoAoCME6P5mLcWomPQpUGHFfOWpufbJUpm3amLaDbtm0DMfvEuP6Orzj+np7JKIx1k28CmkKyZhGKhEhmwyxU+5gda151YZBoXs+WRJH69GIEQ+BvU4cj78D7VHy2Rem+JW//iIA/+U7t/jX//nje+6qPGLE004ypiFLfmeM7VIb1/Vo6RbtjsnV1Wo3CEqkXNUJqzId3cZ2XJY2q6iyhCyJdEybckOn2baoNHR2Kx1aHYtSXaetW5QbBm3dpto0MEyHStNgbjxBPu0Xu+rZ8RenfDt+odr2E0/xu1YXq50Bu8IwkZBKPKwG3W1t26VSP9yG0U9Yk8kmw0cmfAzbEvop1fUggQP8/Qn49peFySS5VPi2yWSh7hhG+4MRh3GQLWnEfvp9G17X59dPv/9vaaOO2bVJtjsW6zt79tTlzTqW5aIqMoossdK1tfZ8Iqs7Tcp1HVWWUBSJtd0mIXWvYu2tzVpwrO1S60D55XRtvbppY1kOjuOhKRK7lTaRkIJluySiqh9sVTPYLrbQTQfH9dgutYLri0VUTMtFEkVsx2Wr2CIbD3NyJkXbtO9ID5rMxZgbT9DU93xLkiBwYjqJfId+C8f1KNcNYmGFWFihVNNxujZPL/Adu4HNdcSI+81upY3jujTaFs2OhW37+oTjDs4JWRKRRIFYROP0TJqxTITdSptE19eYToQoVjtEwypT+TiqLHFro05IkYlH/ODKakNHEkVqXT2nWO0Qi6p+54uWTb3ld/1xPY+17UaQwNEbpyJLbBZaOK5HS7dxXNgs+l3bt0qtAd/Qu1d2gznUatu8d3WXRFTFMB2krr5Rb5roXfkmigIhTaZfFBzXTzri2UAQBNLxEOl4CEmSWJxKMj/pd3EqVNuoit8RXpIEyrUOO+UOiajmB2UbHuGQgiSIFCodLNvFNB3fZwmUG/5aOZWLoakyjuPhen4Qc71lUqx22Cm3gudzbbtJp7sGGabDBzcKNLoxQKoiU6h0kCVxLyAc/Hia7vq+tFnH7Mb2OI7HzfW99bjZNoMEDtjT2UeMGLGfessMOm/jwY31KiFVZioXI6wpFGudgbi43UqHF06P8cr5CVotZ8DXf2ujPugnrxy+j3GG/OPlmo6qyrx6boJTs35wfi+W4qBCiB/dKAb/v1vucHOzykQmylg6wtuXdml0u4d4Hrx7dffAMRwWx9fPJ0vlYJ11PfjwenHfZ45Cuo0/pRcHcK8d64ZjKvt9p74cdQZe9++j+n1NjzO7Q/Gd/dc0YsSD5NZGmUbLRpFFFEmk2rApP4F2ms2C3/1TABwHfu+bVx/1kO6YG+tVJEkkrMm4jsdKnz3mWeOxiza1LIvf/d3fZWZm5tjfaTQa/Mqv/Apf//rX+St/5a/wO7/zO/yrf/WvEASBX/u1X+O9997jZ37mZ/jH//gf8xu/8RvI8sMzpg87D25XPepeCasSkrTnVIhoSmB47P09GvYVIk2VQfA7bQyPLRYeVDhi0UElShRFwqrUPa6IJIlEwzICBMFNvaSPgypcD9+Ho6pg7/tu97y9Kt2986mKhNanCEmScBeVZY45hr7xCgIo3dfD16Eqd3f+/uP7LSofu6k64j6z7zc/oAr9cRh+5m73DCa6c1vsGgdDqkQ0pAwsDpnUYJCJLIsDGeuaKqHKMrIsBnJGUyVEUdwnd+4ETZWCalW+rJLuSIbum6f3aR4N/1YHdQwYMQKOrwMMGyqG19zjnCOkSQiCEMzNWFgJ1svgs+rR80dVpKCsmiyJe3NGGFzf+q8jpMnBOWVJIHrAORRpSGbcRge4k3ne+25PLokH6DQhTQ5kkSwJA/fh9vdkWKZKB8rZfdcwCtwYcReoir/OCfi6pdCnp6fiGpHuWirJIoIooCqi/6wLgq+PC3vPviyKxMKDz+Ht1uLj6iIDz/t9WF+HOw9Fw4/P/OmXEf06/4gRD4Kj5lY8rCAKIqIAIgKKJAQ6Mt1OO7LkGxujIXlPFkgiguDrqyFVDvbHkigQPqDr14gRIx4c1VESx7H5yhsL/OrfeAmA//IXt/h//a8fjRI5Roy4DT09QtO69npRRJQkwpocJC5oXVt9L5A3GdO69jYxsD+LkoAiS6iqr0NoioTUe0/w36O775COsIepijRgL1Pk/fvmw67hsNcPimhIpj9HI/Kslnsb8UAZtiXdzh71rLLPljps2+y396lSUGQK/K44wf8P2T+GX8fD6oAMC3WLwPQI99lqZVk8sAOnKPjvyZIIgu+PFPpsqP1jDWu+TAx8J92W5b3r631HFIUB34smS3fckUwassPerSztXV8PWfYD5e/U/zRixN2iKhKiICCJvs+jNz8OSsg8Slb0jtXPsI002p3zsix2fSEyUreYiyL5Be0kyS/wEgnJe61p+o6d6la8lbtyqTemXqxEb0yxoYDPXDK8b8zDcQGKLA7oKg861mTE00NPJ+89PyFNRunK7URU9eeWAIIo+GuU4O8jgliivmdN7urzvTmoSCKyLAZxSP7xB/cI2WR4YL705tp+36V/jHhkaG72zVVVlQdioO4m7mDEiGeF2617R8UvqN2A5r3vyod+dhipu1b3kIf00tsR65MBkkhQ5AEgkxy0pyYOSaA4LI6vn1RssJPI41q1fvhe9/tSRVEYkLf74xSeDF2hf9ySJBxpZxox4n4ymQkHMZLgy69MKvwIR3R3DMcqnpx+8rrZDK9Rw/ulZ4lH5rX/u3/37+77m2maLC8vU6vV+PVf//VjH2tycpLf+73fO/C9XC7Hv/23//aux3mvpBMhZsZjVOoGkZDM1BHtLV3XY3mrTqNlEo+qLEwm7kipAX8D81Mvz/DB9QKO45FNhcDzMEzHb9M8l+b0bBrTclAViYgmU20YVBo65xb2JvPJqQT/5Ts3abRMzsynmM7H2Cg0KVY6hDSJE9NJ3nxlhneu7BINKziOiyAIxCIWkigyP5Hg5HSKaFhhMhtlabPGB9cLSKLA6xcnmcxFWdqq02pbnJxJ7jOiHkU+FQ66d5i2Q7tj0ZBMnj+VJRZR+PGlbVwXXj57cIv2j24Wub5WxXNdpsdifpC45ytwM2Mx0vEQS5s1mm2LRMz/HYYNpSemkyxv1bEdl8lsdM/4ElZYmEpQqHTQVCmodHCnnJxJsrrdwHb8Fsx3k6Xref7zVG+adEwLTZYJh2S/kvLIwPPYcWo2xep2Hcf1mBmL71NQXddjZbtOsdKh1jLJpUJM5WKMZSLBZyoNnbWdBh3DCjpDxCOqn7UuwHQ+RrHaoaPbZJIhZEnk1GyK9d0WkZCMpogsTidJhGX+83eXabYNxjNRfuHzp3Ech//87VtsFpuMZSJ88dU5dsotLi+XcRyPQqXNZ56b4NJShURMI5cIcXW1jIDAzFh0oLVvs22yvFWnWOugdDPVE1GVd6/uYtouF06k2S112C618fA4OZ1AEETSiRBzE/Fj39P+eTqRjd62Gl6tafjtFQWYn0gc2tL+9GyKle5vNZ2PjZI4RgC+zF3ZblBrGETDCovTScYzEUzLodH2qzxslZrsVNosTiYGlM/Xz4/juh6NlsncZILpfAzDcljaqGFYDuOZCBPZKB3D9tsdd9eGfDocyI5YJEMmGaLRssilwjx3IockCd22pFa3NXjksOEDfvVK03L46EaRkCrx/Mkc4ZDCRDZCWJMp1Tr88KMtDNul0TRo6Tb5VIh628LzPM7OZ7i2ViMaUTgxlQx0GEkSOTOXZn23gSgKzE8Mro1zE3E8z/OrXngeNzdqqLLEiZkkmiKxvtugVNUD/aN/TTw9m2J1p0EkJCOLArulNrlUiHzfJiukysxPxPn2u+tIksgbFyf89s8eLG/VUWSRE1PJgY5jPZIxjbmJOKWajgDUWwaVeoflLb8dbC4V4YWTWbTuvau3TOIRhbF0GMdxWdqs0+pYpOL+cQ5yvJqWw63ubz2WjjCZi97+gRvxVCJLAm9f2WF5q47rubgORJIKM+MxIiGFj24WuLJcRhAhFdOYHouxvtsEzyOiSsiyRCquUai0EQT40uuzXFmuUqx2yCZD3WqQ8qHVYU511zfX9ZjMxQJdfVgfPjHlr6+W7TKZu/36ejsuzGd458ouxUqHhakEJ6aS93S8+8lhOn8/K9t1qnWDSFjmxFRyZGQccVfYjovreOxW2qiKRCqmcXWlwngmQkiVmR6Lsbxdo970nzXLtEEQcLqduAzTpdroIIlwbbWK47rcWq9ya6OGpkkkYwphTeTyUpmQKvPVzy2QSx2tF4wYMeL+steJ49k1Qt8JX3ljHlGA/+k/vM9//e4SoiDwP/7cc3ccyDhixLNCLKwQDsmoikgqppFPh5kdjzMzFuP9a8Ug8aLRMghpftKC63nous3N9QqSJJKMKpydS5OK+1Wp92zvNobhsLxdo61b2LaKIAh8cqPAVrlFq20zNRbjjecmg/HMjMX9SpGbdUKaxGQ2yrXVCrIkMjseY6vYolLXKVZ1qg0DSRI4NZciGVWxXY903O+csV1qsVNuoykSi9NJbNtlabOG6/n202RMY2mzRqttkYxrzB+y7z6KSsPAsPyu4qdmU3zupal9n+m3s8ciSrfjyEgejTg+2aTv06p07YaT2cNtP8e1Jz1pHGTrHKbfDhcJycyMDfoCFqcSLG/51YB/5o0FbqxVaLQtNEVip9SmY9gkoiq65RDuFryZHotx4UQWgGK1zbfeXWe33EYWBVqOS0STmRuPc3W5QrQ7v998eZq3L+/guvDSmVzQmXTY/ntqJsVmoYkq+0Gt8ajK7FiMG2tVGm2/w2kmEeLkTJJCpc2PLm0jIPDKuTz5dDi4vp5903U9FibjfHyziCgK/MSL++VRua6zvtvg5loVw3RIJ0N87oWpwNYsiQJn59Os7zQRRJgbP9if0u8LWZhMDNiKqg2d73+0Rb1pkor7XYlmu8eZysWwHY9WxyId1/wA3dvQbJssbdXxPI/Z8TjpeOi23xnx9OG4HksbNVodf82eykVY2qyjGw65dHjAhwh782JmPM5uucXVtQoCHhu7DV67MDEgQ+IRFU2VWN6sY1g2Hi6r2w3iEYVETGN+IoFtuzS7cnU8E2Flq45uOuRTYUKqxA8+3kIUBCYyESIhhc1iC8O0cD2BiCYxnomSiKnMTyToGDZbxRaKLLIwmWB9twGeAHgYlkMiqvLy2XHCqsj8VJJMPEQ+7c+Vr31mnv/r/+ddmi2LmbEouunw3Q820BQJ1/NIRNV9fkdFlsilQnx0o8Tqji8Df/jxFn/5cwtMZA+POxnx9LC206Bc04M4j2G/tOt6+2JbynWdSt2gbVjEoyqVus52qUVYk/nx5W1ubVRxHAcQ/JiDbJRYVGVxOsFkNsIH1wpoqshWqcnGbotsUmMyG6PZthAFF0HwfVum6ZBPh7m+VsGyXdq6RTyqcHExy3Mnc4RUiasrFcIhmTeemwD8BJK5iTibhSalmo4s+51w3vp4i61ii4lshBdO5Xn+ZC64RlUW+amXZ/jwehFRhNcvTNz1/ezZ8w+7nyNGPOlEwwrRsMKN9SrRkMLrF8b5ZKnEbrmzz4cO++OUbq5X+OHH22iKxFc/s8BOuc3qdoNETCWTCPHn76xRqelM5KKcX0jzw4936Jg2p2dTnJ1Ls9btkDczHufycpkrKxVCqsRnnpug3rKodnXp2fEYK9uNIHbpb3/tPP/hG9cwLIefeHGKZEzjux9sIokCX3ptjt1Smw9vFIlFVH72JxcPvPaeT6/RNjEth6srZWbH4qQTe/rnhcUshUqb66tVMokQX/rU7MAxdNP2u/7ZDhPZKOOZw/0ow/uD4WuaPUQXPw7DMZUnppOs7jTwXPw4xz6bRCquMTsep1w/eB/1uNLT9zwXZsZjB8Z3HoZu2NzarPm+6mx0IG5uxIOnZ69TZYnF6cQT15k2HA6Tiatslv3uG/NjT+bz87OfneU/fnsFgExc5WufO/GIR3TnvHRmDNNyqDUMpsdiLD5GcSJ3wv2IF3lks+igCmqxWIyvfOUr/NzP/RyvvPLKIxjVg2EqF2Mqd/tN9E65HbQXM6odIiH5QEPm7ZjOx5jOx/jgegHDdNgoNAlpEhemM90EizixiErHsGl1rKAC+MZui8Sin8H6v/7FLVwPohGVjUKbb72zFnzOsBxWtxucnEnxlTcWuLJSpt40/fakUY35yQSaIjGRjZBNhtFNm+9/uBm0Uvzu++u8cDpPIqKSiKi0dZtG2zw0oGwYQRCYHY9Tb5m+saebgbtRaNFomeS7wSjbpTaTucGFvlht88G1Aq7nsV1qU6zqpBMhHNfl5HSKWxs1xtJW0Na0UOkQ1vb/DqoicWbu4Ay2sXTktoGytyOkyoce/7gUKh0KlQ4dw2Jtp0k2GSKbDLOyXef07JOXffe0E9Zkzs5nDn1/t9KmUOl0kzRsbMfFtFziUZWwJuM4LjfXa7iuR1hTkCXfePjOlV3cbnvhH368RTYRQhCErnHGIxZRefPlGVJxjZmxGB/fLPHetV2SUY1cN7niux9uAXC925p0abPO+4ld5iYSQavBzUKLWETla59dAODWRm0gSL3WNIKKozfWq9Rbpu9I6HYO+IsPNgh3Fbv/9hdLZBIaSrdrUjSs8vyp/B3f06Pm6TCu63F9rRrcq+trFV49N37gZ0O3+a1GPJsUqh12uy06DctBUyVmx+PMTSRwXI/3rvbmosv1tSovnx0LvttLwOxnZatOvdtm2Hc4qCxv1YNW3UtbNeJRZUh2ZPeNazhh4iiK1TbLm/VgPS7Vdb7SZwj9/oeb1JomlbrOWqHJ2bkUlbrFdD7GeCZKsdomm7QwLIeINpi4moiqXFjcPz7wM8RPzqRodSw+uVXy76HpsLJVZzwTYbPQCu7r2k6TE9N7inskpHBuPsN2qUVbtwO5s1NpB7pXW7dZ2qwzO+7fi2Ld4PWLk3x4swief65bm7VDxzeRjTKRjfLRjSK64bBRaLC0VWciE8W0HD68VeL1CxP7DDGbxSbluq9P7JTbREJK4KzpZ7nvt17b8Z1Lz3KG+bPMn729Rlu30E0H1/UYS4eJRVQmM1G++8EGjZaJabtEQjKpWIi1nSbRsEI+HcG0XWbHoqxsN0jFfSPs25d2efF0Hjw/QKtU62BZLq+cGzvw/GFN5lxXnmwUmpT79OFoSAkMYHeyvh6Hj5fLREMK0Uk/uerGeu2+Hv9euN21lmoddkp7sn9DaTJ3B3J3xIgeG7tNmh2LsXSEjUKzu4dVWdqq49guiiwylopQa5homhQUfihVO1i2hwi4Lvzo0g75dJRay2Bpu44kiziux+WlMqbtkujq45uFFu5ZbxR8OGLEQ6TW9PW9USeO4/PlT88D8P/43ff5L39xC1kS+cWfvfBUBLKOGHG/abRNOrrNTD7OTD5OOqEF9t9ISOHqSohCtQMIqLKIYdh8+3qBjmmD4FeSH8/EyCRCfPaF/UHDf/j9JRDAsl12ym3mJuJcX61QqunkUmFurFXJJUOc6p5TEgXOzKU5M5fGsBw+uF7w9984/PDjbVIxjZsb9W4SuYuqSHjAK2fHuNgNtm51LD/AmD0bQcewMbq2yJvrVfLpcLBv2S37Set3Ype3bZfvfrCBKkvMjMVxvYMreu6UfbssgFFzCGtHF+saMeIgpvKxYz03m8XWgD0pGlbIPYEVIYcZtnXGIuqBxd16driDUGRpwLc1nY+xWWiyvtvEsBy2ii1urFVJxjRmxxNoquTbRbp878MtljbquJ5HpWFwdjbF1FiMzYIf1GpY/vyezsf4yhsL+85/kP333MKgn2BtpxH8fiHV9y22OhY3NmpkEv7vuFlo8eXX947fs28Wqx2ur1aCAJjrq1XGM9FAf7Rsl5vrfrGOa2tVZEnAdj1+fHmHL7y6F3wWj6icXzzcf7HfF1LllT5b9fc/2gpka7Gm88Zzk0F1TFEUWLjD4nXX16pYtgvAzfUaL59RRwUwnkE2C3u28t1ym2Klg9sNHNjYbRILKwN7pUjITy5tdSwmslG+3/VTCgh874MNfuGLZ4LP1poGhukQiyg0iiY3Vqt4CKTiGrbjETqg6OLJmVTw/5eWSqTjIT/BSADP9Zgdi3FzvYYowNRYHFUWOTuXRhAEwppMphsMWmsabBZabBabgMDchJ+oND8RH0hw7fH9j7aZysVoREw6psvbl3eIR1TmJ+Jomh9QPhwEZ1oOhaqOKousbjeRJQHLdvnD76/wS1+/ePc/yogngkpdZ6u45yNb323uk8PbpdZAbIuqSGwWmnie79Mu13VSMY1y3WBjt8nSVh3DdFAVEc+DV8+NB77EmfEY6ztNAG5uVNkstkjFNCp1A8vxODObplTr4HogCgLFms5YJuQXOFUktGSYsKoEfv1Ts+lgj9DPRDZKodohGdOwbZf//P1bhBSZkCZTb5k8fzo3UNEf9mKg7oV99vxC8478qCNGPAk0234cXS9x/NJyGUkUgyKC/T50GIxTarZNPlkqB7EC33l/nRNTqeC733l/nUrdL1Rza6PGtbUysugXP/vgWoHJbCTQjyt1nXev7ALQ7lh848drwXwzLIdirRNUwt8qtjg9m+If/A9+nKhp2vzHb90IOvj8+TtrhEMKn+6urddWq8yM7Z+7PZ/e+9d2kUQR3XC4se7HZfQnbL35yixvvjK77/sAy5t+Egj4e5h4RAliJYcpVvWB/UGh2gniE7eKLWJhZSCB5E7YKDQHYiod1wt8uAcxmYs+cYUie/ugu2Fps06zW0h1easexM2NePC09UF73fJW/a5/x0fFeqEeJHAArOy2H+Fo7p4ffFIIOpnZrsc7l7d59fzdJ7o+ClRZ5CdenH7Uw7gn7le8yCOTYL/927/9qE792GI77sDrnlHrbul933FdPM83zEkiWN3zDJ+v/7Vu2APvVZv6gGJi9X02OI/T968iBX+3bZf+nB3TdrHtwSQe+y6u1bKdfcfovwbX9XBdF0ncq5jbMfzveJ6fSGQ5Lo7j4nQH6HlgWIPXPnyfnhTs4Pfwuq/9f+/1uRrxaOifz7A333q/s+t5gdG993m3O+97mJaDh9+51HE9nL73bMcNnhHT6s0T/3VHt/aNp2PYdIbkRL/cGJ6f/c+dZbvBc+l5Hq4LhuEESRz+XIZuV/EgUeRB4g3dP8fxX48C20Ycl6PWVNd1B56v46wrw7Last3BtdLbk+v3C90YnGs9WTD82nZc8LrzxPMwLQe3q2t4LiDe3VpzkB60/28Hy4OD7lf/dwb0EMvBdj3wDv78YfR0H9Pyr9/Xq4R9OtNh13PY777vGp9QvWPEvaMbdjCve+ujaTkYtoPjeIEMsB0Xx3X9tb6n31kOjrOn9zmu393G9bzAIeo4HnZXHt1ufds3px7gc2kOrfPD+sXjzFGyZ8SIO6H/2bGdPl3Z9bBsF1kS/XWxO4ddD1zH68oMX8P38IK107JdHNtFUiQ8z68eJSBAd2usm3ZX1x/puiNGPAw8zws6caRGSRx3xJc/PY/jevzW733Af/rWDRRZ5G9/7fyjHtaIEY8dw7b1ftu77ey3JZpdnaH3vZ6+bxxig+vZA3p7C9NyfLt6n63jMD3ett2B/bdh2oCG47q+vcTzbfI9HabHgXaRvn2J53X350fch9thu3t6V++6XNdFFAcDxkb79hEPk/vtJ3xcGL6Ou/EJHnjcfhts1+cXnGPoXhqmjYsvdFzX30/ZtovreXgeCMLR9/s4tr6Dfr+Obg/IwWEbbP93++Wq43oDx+v5entj7LqKDpXdhzHsS7IdF8/zgkTZAZuwd+/+mX1+W89jf5/TEU87w3NDt2zUvo7bB80nt+uDsJ09+ybsfyaH/eGm7aLIUvD328nRgfc9MGwXVRKDc3quh+PsyYmDzr03L7t+1UP0Il8P8o8JoBsW8YiK7Xhoh/h8ev4YvRu/0BtX71gjnm6Os34O66a6YQc+sd56J0teoHv3Ynd6/7X74gD61yjT3vNtuh7YVi9WoWeP9Onogz64465L/ddimi6a7Nsq3e7aE3sAOawje/6IZ4GDZEJ/rN9RerhhOQN6a0cfnM/tjjX02iYR3VvP+2WIbh4eSwT+OhbW+mIQ+2WCPbhXbxs2yT69wTCPnrv962kvVvK4Cujw/TsqHsNyhmMphq7pHmwH9yOm8mnmuHEYI+4/D2pv/zCpN/V9f1sv1JnJP1mJnWbfvfc8gsYBIx4u90u/fOxKXRiG8aiH8MAxbZfLyyWuLlcGhFk+FQ4yymVZ3NfG7Lg4jstuuY2mimzs+q26IpqMIktEwwqJbueKWFghEe1WlhIIsjJLtQ7PLWZpdQzK9Q6KJPCTL00jSQKVhk5b97N2TdPhrY+22Cw0+OBGgVubNVxcP7ux63jZLrVY2W4Q0vY0onPzGSZyEdq63yrNcT06hj2wQbwdfpVivxtBpaHTNvxKHP2ZpZoiUq4bAwGfk9komWQISRSIhmVmx+NkEiGy3ezXdMKv0GPZ/nEd173rKke936FU6xzYeeZBk02FUWSRcFhBUyQECH67EU8ePfmQjoeQRJFkTCMR26tWpcgS6USIatOg3jKYzEXZLDSptgy2yy1qTYPTs2lkScTzPCRR9Nvzuh6C4M+NWFghHlE5PZPCMG2qTQPdtHnl7DivnB0npPrz2LT8ijaT2TB4HrsVv1X5+b6qUxPZaBAgKkkCW6UWN9YrgC9rbMelo1s0OybXVstoqki9G9Ry8WQWSRLY2G2wXW6hKSIbhSbruw22Sy0abZNitcNupT3g1LgXJEkcaIU4mYseI8DVYafcplLfr+CNePbIJcMUq21++MkWy9s16k2Ty8sl7K7DIB7TuLxS4tpqhVhYZrvUGjDkr+00+OhmMQjumsxFA4dAtLteT+ajbJdbrG7X0VSRaOjgXFzbdrm6XAnOP8xWsclHN4sUKu1gnQJ/3iZjKs2Ov8aeH6okd27Br4aZiodIxRQc1yOs+WtpIqqRSYSQZb+C53DHid6aWKwevibGIyqiKLC6XWen0mYiGyEV0wh3r1MUhX2V+DzP8zcjAsGclSVxoPJmMqYxPbZXUWRuPEajZQQyrV8HOorJbIR6yyCsyURCMoZl43revvvUYywdQZL8MamKSDY5WGmjV8E0pMlDv/UosO9pZ22nwQfXCrxzaYd3rmzxwbUCazsNnjuZpdUxMU0L1/OotQ0kSaCjWyRiGqoiYVo2kiggyyJn59O4+IbO8WwESRaYzkdRFQlNkXjpbB5Z8nUGTZWQZRFFEoMKMkcxlg5j2g6Vhs5GocF2qcnqTj2omHc/OTufDvZAYU3iZF+3nfuJYTlsl1qBnL0fZJMhNMWXJaIoMD7Ss0fcJePZSLCO5ZIhqi2D9d0GruuRiKkIgj8vx9NhFFnAdVwabQtZ9BA8F910MEyXWESmWOvQbJuMpyMIgl9J64XTOfJZf20OqzIXF7N3Xfm02jDY+f+z959RkqVpfh/2uz68S28qM8ub7mrfPd7s7OwudjFrAK4WEgDhCCQOcUgRByAJnSNIHyRRH6gDAcShDkBQIsFDQjALwRDLAXaxfmbH7Ez3tK2uri6bWekzI8NHXG/04Y24GRGZWZVVXdVV3R3/D1UZETfufe+N933e5/k/rmoeSPbsh+MFrGw1uLFao20d387/NMP1hO1Qb336Oa8RDqJjebHtms+MOq49KP7EF5b4y3/qMgD/7Pdu8C/+4OYTHtEIIzwdaHZctisdbMcnlzHiKumSBNNjKYIg4PWr21y9tUelbmHagksv5hLkswaZpEoQRGiqTDapsdewmCgkqDQsNsttbq7V+OMrm3z/3Q0sJ2C3ZtJo2ciShB+EZJLafpXDKCKX1g84zaMownK8OGC4abroqkKtZTNRSFLMJgiCEM8LGM8nyKa1mC/JpfWBexquKlnKJ5ifzMR2t6bKjB3B41caonr+8PgSusrS7L6D9vxC8UACB8B4l2eHg5zDCCM8atyPT7oXbNfng+UKt9ZqhOG9ncbOx6yfHsZ1PgpMFJLYrk+t5aBrykB18n6ZsbbTwjBUDFUGSWK6lKSQM0CSyKY0mqbLTs1kr26yWW7hByG7NZOtvTZX7+zxnTdX2a6Y3N6o8+aHO2zuie6oO1Uz5kqsbtCs6wfd6vwt/ED4UtJJrZsowZEdUsfyCcErSKK6+fR4Ok4AjqJIdGiWoJhLkNAVZFnC9YIjuclhRFHE7fU6N1Zr8fP3gxBdVQbmwcXFsTjff6KYZPKQzsIPgv4ONEKejlI4Pi3o8du9NWC7/pHc21RpULaJrhbis2RC7XYJsNmpmnHQiyJLTJSSuN0uOa7nU2nYTJVSsU8DiH0I2ZSGrsnMTWbRVJli1kBRpAHfX7/+1MPMeJo7m3Wu3tlDliVOzuSQZYl8RkeWRVVyVZWoNu0Dvo1CRiSmOt1E0HRSI4wixvMJdqsdtiuduLv6RrlNMWvQ7Di4QYihy5xbKBER4bg+fhDQMd048baHpKGSMhQcJ0BVJJKGhiSJ7gkfFdWmzXalw061w27VPHDte6HRdrhye4+1ndZHHscIR6OYS2Do/fzz/nw2bU9w93sdVrYaVBomQRiSy+hEkZhXhqawMJVBlqV4bi7OZNFUiSiKiAipNmxWt5vomkzSUDEdDz8IyKd0fD9kebNOx3Ip5hJ4XoDpeDiOTxB0uweXUqSSarx2L57c77zR86WvbDZY32mxvtui3nLYrZqs7bZY3WkC8Ozpsbh6/eJMjvH84+lCNpYffJ7TpYfX63scqXMPjvSzjLblsV3pPFAM2GcNYRhRromYl/Ajxrz0YhBFHILYD2stB9P2OL9UpNqyef9OmUrDYqKYotF22K504v3r1lqND5YrZJMaU6UUHcvDtD1eujAZ2/2yLPHKpekBf96XX5jFcn06lkchYwz48ScKqf1YOwlevjCJronvKorEhcVS7BMxdBHr1LPdE4bKzHiatd0WG+U2L12YoJAVerEkwYWlgx1+fv/Hd/mnv/0hK1uN2KffaDsUswayLA3ERNjOoM7SNt14vs6Op2NdOHtE98AexvPJgXs633dPCUOJO3c9DKbHU7GulEqocZf1Hvy+eMQHRRiKGK9yzfrIc+9JYWY8zU61w93tJrqm3PN3GuHRIpvSSRgKtZZD23I/cR1gAC6dnBwocafAJy6BA+Bzl6bomB4t00PTZL7+0sHuyiM8fjyqeJEn1onjN3/zN6nVavy5P/fnALh79y7/0X/0H7G8vMyLL77I3//7f598/vEE8Dxp/P7rq/FGurbb4puvLQCineFzZ8axHJ+koQ608zouoijiw7s1OpbHldtlWh2PXFpHUiQuLBbIpIxYaZAkifOLohWpqsgkDJW72012KiY31mv4XSdOEEa0LY8oEsqTpig4bsC3v3eHjXKbu1tN2pbLZDFFrWnzxWdnqDQcljea/OTadleAq8xNpHnu7ARj+STblQ6aqmA5PstbDaIoQivLXDw5dt/NtW26XFup4nohK1tNxvIGmqJguz7zkyIpY7MsWk7f3WqytSfz7OlxVEVGVWV+9rVF9hpW/IwlSTyLIIzIJDUabQdZljB0BUmSRADsA/LJYRhxbaWKaQsSqFl0OTn78c5nQ1O4fGacZsdBRpBnqqKMDMlPKPrlgyQBkXB29KojRVGE5wckuvP2g9tVdusmew0Lxw148fwEqiLx3Jlxrq1UCRG2h6bIPHtmPN5Qzi8W2aubyLKMEkW0LZedaofLZyb4D375Wf7gjVXKNZuN3Q7r2604iFtVhDE+0bWX8hmD586M07Y8vvvWekxSlqsWE6UUsgS1lkO97VBpWhSzCbJJnc9fnmFqLM1vfPc21W4i1be/v8zseBpVkSlkE4Rdx3A6oVGuWVw6WYqfw0fB4kyO8UISSeLIlog9+EHI1TuVuOLf3ORHb+E6wicbK1sNvvv2Bn4QcuXWHrfX6pyYynF3q8Wf+MISP3x3g+1KB88L2Kp0+NqL88hym0snS9zdbvLmNdFO9OqdCr/wpZOUcglSZ8bx/ZBUQkOWJe5sNKjWbcIo5PZ6g4snx9HVg3P/D95cZbfb/m91u8XPfX4p/uzWeo0fXdkmjCKqDZvnzoyTSem0TY+5yQwzE2l0VcHQZZJD6+CZU2PMTaSptx22dts0TJd0QuXkXIFCVjgPLccnoatxcAMM6iYgyP3+duU92G7A8kadlukiW6IN49j5JJdOjmHaHoamoGuDTr7b643YSZRMqCxOZ0ka2sD1AX7q5RPsVE3apkulYbO200aS4NRcnkxSI3GM9pq2G5DQVaIoYjyfpJA1SKe0I/W1dFLjuTPj2G5AylAHgmWDIOSD5UpckWgsn2CqlIp/6xE+vbi2UuHNa7vc2ajTNl0iSSaTVDk9V2Bls0EQhDheiCSF+H7AnfUGtabNqbk8iixRzBrdeQK5tIYsZ9AUKOVSTJYSnJ4rIisSuiozlk/ieAEXlwJsJ+DGWg3PD7l+t8bJ2fyBZKt+eH6IIsusbreo1C2u362TSqi8enGKucnMQ7WAPAoTxRS/9JWTNNouY7kEuv7oTVTXC7h6uxIHbS3O5AYcuA8LTVV49vQYpuOT0JVRIMIID41sSue5M+O0LI/vvrlGx3Qp1yzalseFxRLZlB4nTb59Y4edikW9LRIj3b6irnfWm3Rsj6XpApmUzp/6+mnymQRj+SS27bFbMynkDIrZh3OEblc6cZvkjbLM5dNjB+a95we8eW2HO5sNiETQz+efnSH/Ge4+4PkB79/ZT65dmM4eSEwd4dONetchmE6oo73iIfGtL5/C80P+h29f5X/6tx8wPZb6xLfZHmGEj4JKw+L2egOAdbnNs6fGuLhUwrQ9tG5S96//7nVWNhvUmg5+GHJxqchYLsnSTI4bqzVAJpPWKGQNgihCU2S++84GJ2fyVJsW19fq+H5IuWaSSxs4rkc+kyCX1ri2XGNpJsezp8dwPGHz7lQtmh2PS6f2A7CWN5vs1S0koG25bJbbyLLwN7x0fhzL9lFlCWQJxwtiLqPHl/TuSVVlEl07oZhNxDw+wHNnJrDdo/0pK1tNdquipf1O1eSZU2MDdveXn5+LA0nHC4fbCAld5XKXlx3mPEYY4VHjXnzSveD7Ib/9o7u0OqJww3bVPHKvdL2Aqx+zfnoY1/ko0Oy4aIpMpIuArjPzBVw/RJGlOODsg+UKb30ouNdcJsHnn5kindRY3W4RRhG7NQ/PdFjZaLK82WA8n6SUT5BP61y5XRF8TRhh2h5BGKIpCmu7TVqmy6nZgggWzxk02i5hGNFoOdzdbpJJ6fzP37nN2RMFXjo3Qcf2ef7sOJOlw5+1pip8/plpLiwKmZTPJA7IUxA+nZcvTNKxPAxdi4NR74cfX93i1prYOzIpjS8/P8ut9TquF3BzrR77OM4vFZkaS2K7AZPF5KHJbQ+CuYkMxaxB1PVpjfDpwAF+u5Cg0XJj7m1pJsdkH/eWSmgH9ux8xhB6REJjs9xma68DCO7h2VOi+ITjBuiaKE6nqgqm47Oy1SSXNmh2hO9dUeTYh/DCuQn8MEJVJPwgGti3D9OfEobK61e3ubPeFMlSts9/8K1LjOUT6JpMs+OwsduhY/n4fkS97XCmz7fRcXyWt5q4bsBkIcXCdI6EoVBp2Lx7a4/Z8QzZlIaqSly9XWW3ZmI7AdPjKaaLKWbG0+TSOtvVDvW2gyTL7NYtnjm5r68EQcSt9QYdx+f0fI5iNskXn5theuyj+SRXt5tsV0y2qx0s22dxOsduzeTSybH7yuim6fJbf7wS7yMvX5zkYrcI2AiPFpoq8+wpwT/3+8h68TJvfrjDXl0kGOWzBpeWFK4tV0noKpIkcXouz8ZehyCMKGQMJopJ5iez3Nqo849/6xqm5fPOzbIoWthyuHiyiKEp7NZMoihip9ahbXokDZX5qSzvL3divbxcN/nC5VlurzeYn8iSSzlcOllidiIL7PvStysmO1UT2/XJpw2KWZ2ffLiLqsgEQUgpZ/Bnf+6CSLByg8caU6OpSvw8PwqfP8yRPntq7ID/8rOMRtvh+moNuh2MLi6VyKRGRU2GcWu9HifSVhs2F46ZmDuMMAz5vdfvUm0If/nqdjNO+lUVmZXNJu/eLON5Abs1i1zGQOvaGJvlDrWWxdaeGY9pYTJNFOVQFZlcWmdhOjfgp58qpWm07W7ShS30by8QyVd924eqynzz1QX2GhYJXaHQLeLQv/6KuUSsC6zvtNjp2u6b5RZ3Nhq4XoAE3N1s86vfOMtewyKV1MgNzad/9O+u8YN3NwH40dVtfu2nz4iCtojk9Q/uVOJOXnt1m7blxp0+SnmDatOBSATfXjpZ4rlj2i26pnD59PjAPZX67kn5CDZPMZvgubMTeN1z9Y8jCCOuLVfjgqFt02Nx5vh+2xtrNZptYTdWmxbnFx9u7j1JLG82qDRswjDi9lqNS0vFx+JfHuEgwkh0jBQyRvrInRufFCSJ/U5in1Ca7wfvbtJLwa42HFa2m5xfnHiiY/os4lHFizyxafgP/sE/wLL2MwL/5t/8mzSbTf7CX/gL3Llzh//2v/1vn9TQHitM2x/IhNyudAYq4qiKTDalP1QCBwgFpBckWW04uH6Iril0TI8w4oCCIUkSmW6ShfiOUOzWd4VDJZXQCCN484MdwjAi1Q2M3KubbJTbgHDA+EFECNhuyO31JpIkUe/YuH6I1W2T1rY8xrpZ89WmjabKeEFIGERxhZp66/7VfWsthygCy/GIoihONqk1hYKbSmjxNUG0Ve/0Vf9UVblbbVxUKEslRNWwnuOn3nJQZImUoSFLErWHqETkeEGcwNG73ycBMY8kJEmKg1orjVHXgE8qevIhk9TJpPSBxAXPD2mbHgldxdAU7mzVCcMoJlBN26fRdpG7TlFFkpC7yUv9YkGWJW6t10UXF0NDQubKrT0AMkmdKJJip8BOzcJ0ArIpHU1VWd1uDoxX1xSCYHD9rZfb1Jo2pusTAS3TRUISTltVptq0Wdtp4foBsiQTRTKNttvtqhPStlzaphtXEe9Y3kCLsI+Knky4HzqWFydwwJNb4yM8PXj35h5RJKpDeX5IuSbmxF7dYmuvxV7dEoRkGMUOtzCMaLTdmOgD4XDd2hXOioSukul2pwDY2G2hqjK6pmLaPtVDKiu4fhgHPQCUaxZu3564ti32bj8Q1aF6Y6k2bTqWRxiIyj6phH7ovBbJGiqKqlDKJTF0DdsJyCS1WEYNBzP06ybAkftquWbieCG6Jpw467viuSiyRDalH0qAVvv0Bsu+dzDFVCk10L2n1z71OAkcIJ6Rrin4YSQCRlI6CU295/rXVIVsSj/gcO/Y/kBL6bblDfzWI3x6sbrdwg8j2paP7YbYjiecgEHI6q74TJFlggAkSca0PcIQyjUb0/HRVBVZlolC2NjtoCoyqYSOFwQkdA3XD5gZS8c6t6EpZFI6IdGAfVG7j85dbdooskTTdOOueZbj07G9WOd+lEgldGbGM4+NYGuZ7kDV3UfZRUuJZd/ISTPCR4OuKfh+2LUjJSL2W9+a3TWYMFRapocfRN1CBNDb2mQJggjalg+IACNZEpWiFVkindI5OVd46AQOYMCW9Lv2xzBapicC1rvjapveQ9nUnya0TG+gO9rIdvjsodF1ig1XTBvhwfCnvn6GX/rKKQD+q3/yFh+uVJ/wiEYY4cmhfy8Jw4hGR3B+mZQeF2pZ227iBxGuL3jqMBScgWn5lGtCx8gkdSoNC0OThQ/BEtUoq00Hxwlotl2CUPD/QST4RdeLcDw/TmiwHT/WhS3HH6hs3RunJEmUGzY9N4giS2xUTEzHJ50ShVo2ulxIfE/t/XtK9NkJ/Tw+iMC2e/lT+p+V5fjYfRxJDxPF1JEJHD0cxXmMMMLjwFF80r1Qb9txAgfAZt+aGkbLdAf008dh5x+GYa7zUaDatFEUUTk8CsW9DXQKgoEq8boqo6oKrh9i6CqKLILEGy2HIIywnQDPD1ndamG7AdWG6GQUdLsh2m4gquY7ogOB5QibaH2nHVexrTZt/G5QmOX4ghdWFfIZg2Lu3vaYooiiHKVcciDoq1+WtS0XkCjmkqQS6rF/v34527PTZGl/jvVfo5BNdLutPxqZl0poowSOTxlMZ5Df3thtD3Bv1UO4x+E9W9e6sk6W4vgEAMcNMLtV/pttlwhRYCnq+jN7c7V/7vd8CMmEJv43tAP7dj+n0dOfAFY2GyiK6HzcsTw2KyaGpuB6IYqsEIQRHdsjDKMDnOLWbocwiERnZEOl2rQwNFV0JY3Eeo0iuLkqkkeabRdFkVFlGUmW2a50MHQVzxfxDq7rY9n+QEHGetumbXmi+Jam4YfRR07ggP3n2DY9PD+MYxuOUwxya7czsI+MunE8XvT4534fWa3l4HoBjbaL6wd4QYhl+zRMl1aXr9M1hXrHwXEDkobwf3t+SD5jYNkeqqLgBSGSJNHsuDTaDq2OhyLLdEyfjd0OYR/32OuiAZHwHXS8gbWbSxtIfftKz5feMl1cL6BjesIPst2KuzMoisz6bhtJkpgZz3wsRVEfBZ/fv2f6fnis7uefJdRb+9xwFB3tF/4sIwyjgU5ozY57oHPkcSFiBvbn5MpWkyAQhVg1VebqnQpEwsaQkPjgTiU+1g9E4eQeKnWLWtulkE2QSenUms4BP30qoTIzniGhCx95OqHFxRY6Q125e7F5hazoSDG8/gZ0gb51Va477NZMEfukq6ztNONzDSdwAFxb3r8n1wt458Yehq6S1FVqTTuWiyA6Y/USOADWdtrxfO39Lg9it9zrnj4qej7e4XHYXX9RDw/ib+jpVz002u5A/MQnBWu7bVRFcFmWG1AexUF+bOhYHr7fkzHKJ9Lf9ZOra/RP+yCE1d3GkxvQQ6I55KP9tz9YeTIDGeGR6JdPjHFeX1/n7NmzADiOw/e//33++l//6/yNv/E3+Gt/7a/x+7//+09qaI8VCV0maez/YNmU/shIMBCKV9y+LKHGGbS6qpBK3j+7OZUQxGYuYyAhWvZKkqhW2581m07pcbtdQ1eQJQlZEi3CFmZEdn06Idp59sZQzCb6riPIOkMT19tX+O5P4vXGaGgKSMSOqd77AKk+glaSOHYlGhDP7bDrPQh0VR5wHCWPGSD6OJA0VPqbFDzM/Yzw9ENV5AEyspRLIMuSmIcSZJKiIpPadWj0oKkyypAMmh4fdFrOTOxXhspl9uVIOqli6PvfLfSt8f1j9FgmAeTSOklDjeVDors2te46niylKGYSaKqCogi5YugKqYSoOmZ0qwn2ZIeqyrGM+TghOvXsv36Sa3yEpwNz8TqRRCJgUszppKFQzCTiua4o8sAeleq2Co8hQSF3eHBXfwVrRZHIpQ/umboqk+pziKUMdSAoutdqVJFl5G4iJ4i9b3hep46Y18Pz/X77Sr9uctj3e8hn9IHrH6di97A8u18S7PBYh/f8e37X2NddhHyVuud8cAdkQlcGCJfR3vzZQSFjoMoSmiajKhJad/9WFZlcSkdXVJBEUqUkCR1ZJF1rcQeO3t5dyBqxHmzcR5dOGeqALn+/fat3nnRCRVYkcU1FImGoD7RunhYkh+//E3gPI3w2IAK1hC4hyxLppJirqYQar8tcykBTJJDodpXsfrn7d1ITyV6aKlPIPNoKZ/37lSRxaCJkQldivQeEHDtKp/isIDGyHT7z6DllC6Mkjo+Mf/+XnuW1S9N4fsh/+T+9ft/E1BFG+LRiWO8/bG/JZwwUWRJBiYooCGHoCtm0RialDRzX809oqkQ+rZFKqMgyGLosuDlNQZEkUgk1dpInuj6OYa6iP7isX3fIZwxkZX9DnCyk0Pt0huIQF/Ko7OT+8wyPb4QRPk3IpIZ4+HvYAsM28ieZlxqQh9Lh8nCYe+11OQXhV1FkiXzaQJYETyNLUMjqcaErTZORZRldldEUBUUWPE7a0GI+Jp/dv0YmpXXPI/jDnszVu1zQw6D/vlJJbeC3Pu7vl++bE6oiMZ5LHosLHmGEw2Bog/x2IWs8EPc4jH6uTpYloXv0fIJd/4KuivXXm6sPKruGj++97vdtqorEeMGIry0rQpfSVBlZlg7oYKX84H33F9YR/4trTBTENXr6U6Irh8cL+8dLkiR8KYqQNz0My/d8+tFwPb170TUhr3octX6MhNVCbvC+D/MPj/B4kep2+jQ0BVUWiUEJXenuTX2++3RiyBclfve5iQyyROxTSxjCVkh2/WDJhEopn0CSJNQuTzmWS5AyVOTu5pFKageKVfSvs57P0dBEpW5Nk5EkKBWSA768sfskUz+NOI7+8VnGo4i3+rRDlqWBGDZdkx866F8kOvTZ1tnEgI43PTa4xqb7u9RLUOqT4cmESsrY32fu99slP0Jc3oFz9fMH6cHCq/eLGejtp71xnJjaT3ZMJlT0frmYHdxHh/naT4L/UNdELFUPDzLmno7Tg6ErjyTh5ONGv+9LUaRHph+NcH8cN6boacbZ+YOdaxYmH38i6aPGcGzUC2dHXTg+yXhiK8myLFIpoRy8++67uK7LV7/6VQDOnDnDzs7OkxraI0UYRtzZaFBr2aQSGmdPFPjpVxd492YZSZJ44fzkRz7/rfU6jbZDOqlx9kQRKYLXP9jGcX00VVTdf+XiZGx0R1HE7XUxptXtJh3LI53U+OqL80yWUixvNjg1k8VxRWvQ6fEUfhghITa+juOzWzW5eHKM9d0WyaTCB7erNNoOr1yc5vxCiTeubdPsuJyZL5BNiW4eqirzvXfWiZBIaAqaKnN6Ls/J2ZxoDZw2KOUSbJTbbJbbaKrMmRPFuLKW4wXcWK1h2j4b5RYSsL7d5PpKDVWV+fwzU1Saol3b0kwOVZXxvJCJYnKgWtfqdpOdqomuKZw9UYiVP9vxubFWo2W6vHdzD98PmZlIH+s3cv2Q77y5ym7NopRL8I1XTnBhqcjmXgdFlpif/OgVMR4WSUPl7Ikie3WLluVSrlnUWg6n5/LHCpAd4cmhZbrcWqsThBFzExlmxtO0LY9bazU8P2RmPM38ZJZKw+K7b2/QajvkMgYvnJvg2VNjXF2uMFFMoKsSb364y07V5B//O4mXzk9iewFj2QQvnJ9EliXWdlr88ftbVOtWt1W4RtP0yGd0UgmdtR1RFSOhKSJxS5YYyyfYKLeoNCw0VaZtOtzdag606kslVH7q5RN89801bC+glEuSTxusbreYLqWYnUjzxtUd2qbDWD5BNqWzV7eYGUuRS2sokkQuo2M5ARGitftkMUW5brFRbjNeSNIy3Qeay422w+31BmEUsTCVHWjp3I/es96tWYRhxGQpxZn5Arm0qAB4bqHAWx+WMR0PQ1dwveCxOIK3K51udyRptG6fYrxyYZrf/fEqa7stsimNufEUtusREfEvvnOLmfE0rheSNBQunSyhqgqeF3JzrY4iy5yYyhCEEUszeaZKKUzb4+aaaGc/WUqxOJ3jyy/M8daHuzhuwMWTJVKJw43Rn37lBO/eLOMHIZmkxhsfbJNL65w5UeT5s+OAqML//LlxMgnhAJibyKCpMucWipRrFn4Y0uy4vPHBNlMl0Qa8h3zG4PR8Pq6uMTOePnQcPShdcve9W3sossTJWXGu//J//DHv36kgS3Dp1BgLUzkySY1c2sALArYrHf7xv7vGuYUir16aptlxub1ex/NDgjDsJq8pFLIGsiwJ0rmPZPD8kJtrNTqWRz5jcGa+wFg+yc21Os22w/xUdqB6J8Dd7Sa7fTpC0lBZ3mxSaVhs77V562aZKITLp8cYLyRJJ7UD5NdxIKpwaHx4t0ZCVzi/WHzgc4zwycTLF6aQZYlizsByREedtuXzzs1dHNdnp2YRRRGFrE5CU5guJZmayNIxPW6sifbTp+dyLG81ePumje2EyBJMlJI4XsDMeIofv78lKusgkiO/8co8mZTOmfkCqzst3r1R5sZqlRNTWb7ywtyhCeVTpZSoIBlFvHOzTBBGnJzNc2Iyy1yfXtuzRepth0zXFnnYyrSNtsPtjQZhGDE/mWF67N6y5UGQSmicnS9QadgYusLcxMenmy9vNvjx1W2iKOLlC1OcWxit9xEORxhGXFup0DZdak2HMycKXFgq0eq4fP+dDeptB8t2qbVcTMdDIiJlqESRh+tHhKHwn1uux7XlKtPjKf7p71zn/GKJyVJqwPbt6Zct00WRJTJJnZOzOYq5ezvdF6ZFG3XHDRgvJA91UKYSGi+dnyKTrOH6ASdn8kfq258VCC5I2OSGrjD7McqgEZ4O9BINhgOUR3hwKLLEX//zL/Of/9d/xNpOi7/9j9/k//YffvET6WwcYYSPgtmuHb682eDWep3bG3WePT3O5dPC5t+pmiQNlVrLwrQ8vCDkR1c2mBnP0Ow4BAGsbDWwHJ+l2TyyJGG7PqfnC1w6WWJ9p029aXNns4kiSyR0GUMTBWJKeYPnz07Q7DhsVdqEoahSXcgmeOnC5IA9cPZEgfXdNkEYcelkiR+8u8E7N/fQVJn0lkIpa9DsuEwWUzx/dpyW6bFbN2m0XG6u1WM+9DD02yLphMa5hcNtkdNzBT5YrvCj97fY2G3zuz++y6uXpvnC5ZmHKsowwggfBw7zC9wPCV3lp185wft3KmiqzEvnp448tuerrNQ/mo28vNlgr26R0FXOnigMJHmbtsd3316n2rCZKqX4/OVZVrebtC2PQpenO05l255f0HZ8SrkEp+bySJKE7fjcXKtjOT5BGDFRSDLWDZJ+92ZZcKrFFIszuZiLaZkuJ2fzTBRTRJEou9k2PfwgYK9hMzuZZjyXYGoszen5PNeWq8xOpDFUiablkk0pWE6AoamcmMqQTevcWq8zWUrxysUpVEV0Gp+fzLBZbvGTa7vUWw5vfLDDSrHJz762yO31OrWWQ8JQObdQHAig2trrsFFuo8gSp+byVBrCh/v2jV2aHZda0yZpaJyaz3N2vkCj45JOaDx7egwQFZxvrdeP5FW+9Pwcb1/fxfECLi6VKOYTdG57XLm1R8pQ+dZXTj7Q73+/643w6YauCU57p2KiqTJzkxlaHZdy3aRcs9ipmLQ6LucWiuiaEnP1R8mAU3N5NnbbeH7I1Fgq9rWdXyyyUW7z0vmJri9F4tLSGD/5cJuVzSaphMb/6qfP8syp8fhcvh/ynbfW2K6YuF7AuaUC4/kUC5MZbq7VqdQtJEkCIiaKKX7l66f5/ddXqbUcxgsJbq41mZ8MmSgmeOt6mUbHodUW3Wu++eoC67sttvY6Is5hvsDSdI7rd2vkMjovnJnkv//2+2zstvD8gDMniizO5PjFLy3xwd06pVyC1Z0mmqJwcjbHSxem2Nhtk0vpBFFItWHzwUqFH17ZACTGC0leuzTNT718gg+WKxiawgvnJrm71WS3djDW4UEwWUxyZ6OBLEnMTaaZLKWYHU8fqwvUVCnFFy/PsrLVIJvSee7MBNfvVml0RDekcwvF+xbcGuHBMaz/zk5k+NpLc6xut0CChaksE4UUtzcafHi3iu14/Ivfv44fhEwU0/zaT59hcTZPpWHx9o09kVyoSmiaykTBoJg1sF2PK7fLbO+1aXRcHD9AlRUySY1XL00zUUjyzq09Xn9/G0WRaHccvvrCPF4Yoiky33lrnbbpirG9OEc6qWG7Po22iyIL3/tUKc3PfX6Jla0mxazBT7+ywNpOix++t0m5ZjEznuLiybGP5Gt4UASB8Nc2TZdcShd6UsNmdaeFLIl9udCXsHliKosiSzhuwFghMbIrhjBZFP6llumSSxtxgtsIgzi/WGSz3CGKhM4vSQ/HbamqzDdfXeCdm2U0ReaFcxP4QRRz0S+cm6Bt+azttJifyPD1l+Z5/doObctjaSbH556d5vfeWMPzQ165OMPdrRY/vLKFrsr8ytdOc3u9TrVpkzBUZkppfuN7t6k2LGbG0/z8F5a4s97Acn3OnSjQsbzYP7k0k8O0RbdPXVVYmMryb3+4zNZem2I2wc9/cYm3rgs9d3Yiw5eem2Fzz8T3Q6bH08xOZvj+u5voiszXX57nh+9tsrzZIJ3U+MKz07xzc49y3WI8n+Qv/sIl/snvXqfecnn10iQvnJvkjWs7BEHIc2cm2K50eOPaDoam8DOvnuDqcoU7G01yGYNf+uopLMeP4wmKD5CYOCyXF2dyLG82sB2fYi7B6a7t0sNu1TxSrjwINFXm/GKJ7b1OHOfRD88PubFao2Mfrnf19CtJkpid+GTq8M+fnWB7r4PlBLx0YSIuXDrC40dCF13n3r9dIZVQ+NaXTj3pIT0w8vk84wWVvbroaDM19smcPyemUtzeaMevv/Hq0pMbzEPC9QJurtUxbY9iVnA+j7J76ycJTyyJY2JigmvXrvHqq6/yve99j5MnT1IqlQBoNBokEp+OjP1Kw45bB3Usj41ym5Ozeb720olHcv7dmhlX9GubHsubDa6uVChkDLYrPn4Al0+P0zQ9PD9AU5V4TM2Ow631Rreqr8yPr26zOJ2jlEviuCGnZkWwcrPj0jE9MikdTZPxO6KNW8pQuXx6nJ9c24lbG9ZbDm9d30FCYnZcKApjhYRoURqJdqpRBKfnC3hByMJ0diDo2bQ9NnaFgHG9kJXNBs92nU9rOy0s26fatDAt0Ua12nIxdNHe9N1be3z9pSTLGw2ePzfB4vTBzLm26bJdMQHRjvXuVouLJ8W8W91pYTsBy5tNmh2XsXwC2wm4tlzh+ftkq11brrBbFW3oqw2bK7f2ePXSNGfmCw/1uz5qFLIG6aTK2zfKgCCw7mw0ePEjJhGN8HixvNnA67ajXdtpUcwZ3N1q4nrivc1yh1IuwRsf7GBaHooi1kJCV0h1yRSA77+7zm7NxvFCPD/kx1e3efnCFMmEylalw+x4mtevbtE2XRodl+2qycJkhnwmoJA1qDYtak2bTFJD14RTp95yUGSZhK5hOyG5tEGt5aKpJoWsMZBoYGgKS10ZEXWDQadKKcYLSX78wRYz42kkSSIIQv7gzTUunxpnfjJLOqlxej7Pezf34nNpqsLMeIbtqsl0SRgUtzcavPQAc/n2RiNuR7my3aSYSxxKAt3datKxRNIaiGrkPfkC4PkR6aRoA+64QSzfHyVcL2B1pwWRMAKXNxu8cG60bp9G/PiDbRKGypn5ArWWQxBKFBI6a7stpsdEAsczp8Ziuet4Ae92ZTKISkX9e83qdituR75TMSnlRJLTF5+bve9Y8hmDr744z9qOcCZEkWiFuVs1mRlP31P25zNi/V5brsbyZ7t7/X7jdyyfPDbp5vkhOzWTqW4A59pum+XNBlduCxLHckPevl7mxGSOlunxwrlJri5XYll3/W6Nhekc25UOnh9SbzvsVk1OzuaIIrHHLc0c3PO39tq0uy0E6y3RdtW0fdIJjXRCIwgiqk07vo9mx2WnT0dY3WkxWUyxVxf7+xvXdomiiExK59Z6g6+9fILxhyQeTduj0XaZ6To313fbowStzwhUVY7353rL4cZqjR++t4ksyZTrDrIskdBFNasXL0xSyiWRgGvL1bgbzAcrVeYns9SaolV6ylCpNR1cL+S7b2+Q1FXKdQtZFlVm37pe5svPz1HKJXj3ZjkOclzbabOy1eLU3OF718x4mnLdHNh3psZSAw64ct0asEU299qH6uDHwfJmA78rd1Z3WpRyiUeaHFnMJe4boP6oEYYhP3p/K27N/MYH2yzN5o9V0W6Ezx72GhYfrtRIGhrJCaF3n50v8K//6Da1liP2qWoHz4/QNBVZEvoEiOpSUST+F/tnQNv0hENAlkknNVZ3WlxYLMX6ZRhEbOy2URWJU3MF7mw2ePk+a0SRJU5MZe97L4WswWvPTD+Kx/KpQSFrPLRTZoRPPnq8YGlUnfSRIGmo/B//wiv8Z//1H/HuzT1+/Xeu8+f+xIUnPawRRvhYIUmikMGPrmyiyjJBEPHujTInZ3JkUjpvfLBNBGSSBtWmg4xEQMTWXgdZllBkOea/y1UT2/H48vPzACiSTAQoqkKm2yXM9QIyKY35SaEHiC4fMhu7bTp2QDGnkdAVgi7f1oOmKjFXtls18UNR9Xe3ZrJRNjl7Qmd+Msuzp8dIJTSyaYO9hkXSUAnDKOZD+ws09dBvi3Sso20RVZFotEVhI9sNsL2A927tMTeR4cJS6RH+KiOM8OhwmF/gsHUwjIliip96+XgJ1MVs4oEClIZRa9mUa4Izsxyftd0WZ0/sFy14//YelbrQgbYrJn/83gb5jLheveVQrlsxV3gv9PyCIPytxVyiGwTdwnLE+4osAp0LWYMP71b3OdWqSTGXIJfWYy6mh54c3a50aLSd2J85M57mxFS2a2tJLE7nmCymuL5aiyuMWo7P9HiGatOOq6Cvbrd45eJUzDPW2w6KIiNJEn4QYto+793eYzyfJJ8xsGyf9Z0Wp7s+RMcLWNtpAcIPcOXWHrqmcH21ynbFpG26dGyfCIntSgfT8vnC5RlA8IrnFoqDvMp2i2IuMZAkkjTUAW55u9Jhfacdz4M3PyzzC188fkLP/a43wqcf2ZROts9nUMwlCMKIessF6BZlFH6zzSGuflgGqIo8UCCuh4ShsjiTo9K0eeGs4Ci3Kx1WNluAhGn7fPt7dwaSOK7dFeum1XFpmi7auoyuqFxpVUgnNOqKQ8fyaHY8wKKYTfDLXzvDuzfKOF5AGEbc3WoSRhH5tM4Hyy4gkU6o/OjqFue6ss71Qq7erqBrCpfPiOv/6+/dpNq0CcII2wvZrZpMj6W5drfOS+cnuZGsDVQLb5vewH3/+u9eJwxC1nfahEAmqfHjq1v8mW+e46deFrElgh8a9GNcWHxwnWZtt02pK1NB6GgP0k3g1Fw+5pWFLHXje9ra6xyLPxrhwbA3pP9mkhovnp/ixb7EzbtbTdRuN6hrKyJxSldlai2HuzttTp8o8ZNrO9QaFumkjh9ETBaSIEuAxOZeh92qSbPjYdoBSBHFrM6JqQwd2+fyeIboRjmutr9VMbmz1eQbr5zgu2+t0eqIebCx2+bq7QqWG6AqMtmUTssUyYeqKgpF9u9JP3p/i1rLpmN73F5vMFFMkUlqAwXmHid2qibN7tibHZf1clusswhCIu5sDsYiHJcj/Sxjeiw9SvC8DxK6eqR/7kFRzCXifaKHHhe9WW5zajbPqa5t/u7tvXgPd9yA2+vNeB9Z2+3w9o3duAPHv/vRCl95QXAFlu3z7R/cjv3mG+UOv/2jVc6cKFBAFGjYa9ixPvjBcgVNVZAlUXj6d15fYaMsYgErTZt/9ns3mCwKXWBjt83qdoszffZEJqnxv/6Z82JcOy3ubDQAsc98+/vLsX20V7e4s93iP/7VF+LvvnV9N/bhL2/WWd1uxx03fueNVVKGFvsL37tZfuj4zWFe4p0bu+iquP9qw6aY3U9i8vyQle3mvlzZaPDShYeP+8kkNc6cKBz62eZem451tN6VMNTYDvmkYrtixvPF8yNM2xsl1H1M2KmabOy2KXZlzJvXd/mFLz5YQYAnjd1qh2rDp5crUK65dDod0ulP1r7Vn8AB8Lf/0ev853/+tSc0mofDRnlfXlWbNvmMwUTxs5n8+cSiR372Z3+Wv/N3/g5/5a/8Ff7hP/yH/MIv/EL82fXr11lYWHhSQ3uk6FVz2X/9qM8/+NoPQoj2Pwt7n0f7x4bdP4Luh1Hf63DovTD+n4Hv7F8/OuCc8YdeB0G0P6b+Me+/HWPo9AP3Fz/L4bHEr8OBMR+G4fH3H9v7O4qfweHfOQzh0DHH+c7HjTBi4IE/6rk4wqPH8LwSazo6cMzwe34w+Lrn8CFe6+H+y+46DIL9NRZFERF914q670X7a0McMywnBtdOPMZoeH3sy4go2J+WUbS//nr3NnyueByHyYZjYuD46Ojvi+vvfzb8/Id/n+HXjwJR/E/vGo/8EiM8IsTrrIswEntB//QamPv3mT+HrfUHxfDcvtf+OIwD1/8I0/uwNeu4/tBBg9ce1i3CMByQQf3/H/VsDtMpDq7boXEOfDYoAw7IWj849LrHwfDYHof8GOHpx75O3puIPV1U/OWHYt4Oy5IwjIj6l0hv/4wiwiAa2L97x8eHHtAZ7r2xHKaLPMjnD4Jw+J4e/lRPFQafP6PNfIQjEYX7+jXs6/n7c0jIgt4xERHh0FrpmXyDunvUlRP7x9B/nvvspyOMMMJHR8+ZVxh14nhkWJjO8b//1ecB+P/93nWuLVef8IhGGOHJYIgCjDnpIFYS+nj5SNiigtcL6ZnqYTRoo/pB2NUl9pWHKIoG1Nigy4Hs6xOD3OBhCPv0k/icQ74HYNDW4Wgb4zAb/vDjwA8CGNCzwgfiSEYY4ePGo7S1Hxfuxw8Mm77+Q3LpR631o3jPYRlyv+sc5EB75xnkUqK+GzrMbxAx7M/sHtcnJ6Mhfmfg7wM+xq6/M2Tf0AMiQqLwcN/mgXlzn3s/4C99QJvwQa83wmcDB/2Bg9xDfNwDzJdh/8IwL38wLqG7fnrfj48blB8HYyEG17VYw/s+UXHuofsbEjq9sfSOChnkfw/GjRx83dPP+uMh+mXqwbXHQ+F+Y3kQ3M+/NcKjwVF71vB7w/77HhxP+OWCMBrgE4M+myEIwv05yH4sQRjtz+/hNRf271l96K25nh0wGGcweGy/D6Rnxnyc28rwnhj0xVzBR1sfI4zwpHHU3rz/eZ+eGwRDsQ1D3/XvvQ/2Hz/su3C9Q9ZZH7x7+CuD8PD99qhz9e9LQTgoc4KhEIWP4rIblg0H9euBow/EQzwuHLQnP30y7FHE0ozwcDioB3zynv2wHPi0BCX0kmk/SbhffOlnCU8sieOv/tW/yi/+4i+ysrLCt771Lf7SX/pL8Wff+c53+OIXv/ikhvZIMZZPkE6KbD9NlY/V9vheiKKI7UpHVJ9xfCaKSZLdLFhdkzk1l+fcosg2zKV1xgsJ0UKssF/JdiyfJJ3UKGYTTI+lyHYrar1wdoK5qQy1lk0EZNM6k8UUhaxBNiXapS9O55jsZmgGQUCj7TKWN7AcH9P2KeUMpoopOrZLuWZiuz4L01kKGYObazVMy0eWRVZbo23z7s0ye3Uzvr9MUmMsLzJeZVlifipDGIp7BljfabFbM3E8n7G86C4Rde/90tIYkgQL09mB57S+22J1W3TXyKV1koZCuW7R7LjMT+7/HvMTGRRFYmE6Sz5rkNAVsin9WNUrzi+W4mojKUPl0qmxj/Q792O3ZrK204ozz4bhByEb5Tbru60DQcT9MDSFsbzBXt2i1hItnUd4elFr2siyhOmI332ylCJpqJyYzIr3bZ+daodb63WePTmGoogU0emxNHNDLe++8MwsU6UkuqYgS3Bmvtitzi0jyxLVhs2lUyUabZe26TE3mSabNjg1m8PQFZIJNa6QsVMziYi4sFQil9ZJ6Io4TpMpZRPdLhz7lXf8IKRjezheQBCKv8cLCTb22uw1LL78wgyaItHs2Ow1LOotm5vrNTb32kBEo+2wU+3w5oc77NQ6zHUrXCEhgsAlWJh6sCocC1M56GbUzoynj6zyfWIqS8JQhQxM6yQTKgvT+1U1xgrJWL53bI8wjI5cpw8LQ1OYHhMytyffRng68dozUyiyRLVpo6syF5dKnJjKMlVKIUtivdmuz9vXd9mqiL2sN38O+23nu2sdRKWMXFrH90Ou3CrzxgfbNNoiECwIIzb32qzttCjXTFa3m92Klm3CKELtVntPGmpczaLSsOJ98SjMT2b62tRFXFupcG2lcs9n0Gg7rG43qXUrDfega8q+/tNds1958QQnuq09NQVOz4t1PFFMcmIyywvnJmO5Nl5I4gcRyYSKJEEurcVr9zDdyvND1ndbhGGIaXuUa6JtuuP6SDLxfWVSGqX8fsXBXFqPq5IoisT8ZJZiNhHv75dOlpAlCdP2ODOfZ3rs/vto71lvlNu88cE279zYxfXDAX1HksTvs7bTwrQfrQy5FyxHtM7drnQ+leTN04iW6bK63Yyr1BQyBpomdztSRYwVuvNRiihkDKp1i91Kk9sbdaIopN1xcTyfly9MxfpvUleQZDB0mVrbYXYyg0QUOxSDMOTy6f1KdM+dGUdXFcIoQul26hjWH03bi+fG/GSWXqffni7Sj2FbpLdnPQwWpvevNT2WOrJ647A99DRDlmWeOzsR6x3PnBpDP0b11BE+o5Agbai4vqhQ9+yZMQxd5aULk2SSGumUzvRYinxKQ5ElVFkml1SRpD4nZwS6qpBNaiiKjOP6bO21ef2DLbwuK9nTLxVZZryQYKKYxHR8VEWm0rCe4AMYYYRPL2rdJI6PUu16hIP4qZdP8I1XThBG8Hd+/S3sp1wvGGGEx4GXzk0QRaJabDFnxDzD5dNjVJs2fhCSTWkgga6KvV+WRRBDPqPjugHZpMqFxRJhFLJd6VBuWMiSqCJp2i5JXeb0fJ7psRRBGKGpMpbr07ZcSt2q68VsgnxGjytbHobxQpK5iTSaKmPocvd/lbF8gkxyv1riiT67QNdkrtze40fvb7Gy1aDecjBtn59c22Z1p0WvwZ2uyXGny2HIssSlk2OcmMqiazKZhMa5E8W4qwiA7frcWK3x9vVddrp+iBFGeJJYmM7d0xZ/GlDIGOS6fgBVkZmbHOQ2L54sxTIpn9H53KUpdE10Em+a7qGdsQ/D3EQm7giaTemUcgl2a8Kn6Hb5jErT4uZajXLNpJQ3qDZtdqodHNc/WEhmCBOFVMxrCFspTblm8t7tPTq2h2l7tEwHXVfEOZ2A80tFJospxvNJErqKoSmossRuzSQMI26t19ipdNBUCQkRhJDQVc4uFpnp+m5UVWa2z4+TMFSKOYNy3aLWcriwNEY2pXNqLo+hKyQSKoYmk9I1kobCyZksQRQJDrPLsfbzKlOlFIn7zJuZsRRz3e/6QchEMUmlYRGGEZvlNm9+uMPttTqud3ghm5nxNJWGRaVhM15I3Pd6I3w20ItBABEXMdvl7qfHUjheQLlmEkYRE8Xkof7vnr/j7laDlc0Gd7eabJRFJ7EgDEGCL784z8J0GsfzCcOQb7xyguXNBv/2h8v88MoGF5ZKZNO6qPivyKR0wb07nk+9Zce+vWxKJ9env8yOp1neanBtucJ2tU3LdKk1LHJpnWxKQ5IlXntmCkOTubFa49pyBcvy2GtYhFGIqsj84ldOk88If6KuykwWUyiy8C2AkGk9v0cuox/ozv382QkURehs6aSK5QQ8c2os9vPYjk+z4xB0i14pioileBic6ON9J4rJj1S9eqK4v1f1ZOkIjx7jhWRcHX9Y/13ebPDj97fwu/6nQtbgwmIRzw+otWz2ah0aLZdaw2aymCKMIgxd/FaZpI6hyxia2M9TCRVDV9B1mbFCkrGcQSFjxH6GLzw3i6rImLZHQld47dIMTdMljCIqDYsgiCjlEzxzZhxVkbtV4M047iEMwoE9EOC5sxNEUUTH9kgawhf4UXwND4rpsVTcXcTQFU5MZQ/4NZ9mtE2XtZ1W7Hsa4bMHzw9Y322xWW4fSGiYKqVotG2u361Sb9lcPjU2sBddWBqLfViXTo1zbrGIafs4XsDXX5pHkSXKdYuO7fHNzy/gByGVhoWsSPzUy/M0OqLTQyalc3Imy+31OrfX6yxOZcmldMp1i0bb4euvzBFFYp/v2B6/+JVT6N11V8onWJzO8+7N/TiI/nuaG0/HMkFVZX7mc4tkUmLfSiU1Lg512VyYzsb3dG6hyNRYklvrde5uNfnyi7NxfICuK1w+MxjbN+yD7MXjbZTb+EE44F8fyycGfKSXT+/v2cNxCJo6FC/xGON+ZsbS6JoYRyoheJdPil/1uDjRF0szlk+Q6esON8LjRb8dqSgSz5+deMIjenDMTKbJZ9S4sM1EQfvEdeEAmC4N+pv+r3/5y09oJA+PmfE0uzWT63ermLbHeP6z60OTolHU1rFx5coVAC5fvvxA34uiCM8Xxvt+QOTDYXmzEbcoVhWZy2fGURXpwPlN2+X2Wp227RNFkE5qXD49Hn/ePybTFm0UdV3l1npdECghJA2Fi0slDF3BCyK0vvN7fsDv/GiVWsum3nawPZ+T01kcL2KylGRrr8PsWIZMSmNxNscP39ui1XGpNS0MTSWT0titmkyUUmiqzC988eQAUeF6AYosoSgyt9frVBo2y5sNVrebZLrB5BdPlmi0XHJpjWI+xcJkmrnJLKoic3eryU7VpNEWCuPidA5Nkzkzl2d5q4njBMiyxMxEeqDNehCK6t+yJGG7PqmEiiwfj0wOw5C27ZPS1Vgx+6jYKLfZ2BXtj2RZ4tlTYweI0Kt3KjHBlUyoA4F6g+OLuHJ7j47lIUmCSDu3UDz02BGOxptvvomu6w8sBx4ElYbF7XXRDjAMI86cKAy017Ucn//lj27HQZezE2m+/MI8ruvfUzm9cqtMpWGjqwp+KFpgJAxh3KxsNTBtjzCCTFLnF790ElmVIQx595aYY+u7LdJJjdmJDOcWisIJjFBqZEkiiqIDCRH987NjuSQNTbRNtjzmJzOihSIR3/7+sqhOKoGiyLx0doKJUorV7RbNjoskQzqh8eK5yZhEiYi4fHr8oYjFXlVBTb13e+8gCAnCCEkSLdZ7DqMeoiji7naTnYqJJElHrtOPCs8PDr3+CE8Gh8mBrb02v/v6XSwnJKnLvHJpmrMnikhAx3b5gzfW6Ng+HdsjiiJeOj8FEpydz5NNG4f+tr09qbeu/ujtdVa3W4AgFX7pK6e4u9Wk0XYxbY+dqsniTI61nRbFbEIkWhkKFxZLaKqMJEnsVk1WtpriAhJcOjk2ECwxfP1K3eT3f7IWB4RfOjU20DK4h0bb4frdWvz6zIlC3Ia7h8Pm8fW7e5QyOvl85oAMc12fRsfl7nYrzuCfGU8xPZZGVeQjdasrt/ewbOHMqLUcZsbSbOy2mRpLkUpo5DI6p2bz8TMZhusFKIqMMqQzLW822a62CcOQYjbJ5TMT8TGHoVyzWN5s4AUhb1zdIps2YgfGN19biK+1WW6z29XtZFni8pnxI4PXHxU8P+TKrb24UsJkKcXSIe3qR7g3HkQnMG2Pq3cqcaB1L8n5/TsVHDcgDCNurlfptF1WdtoEUYSmSFQaNmEUoasqshzx4tkJdF0lCsHxPFwfWh2LIJTRNYl8xsDQVSQiUgmNxZkcp+cKcRI2gO+HvHuzjOcHyLI8oD96fsB7t/biNT81lmJ+IkN4jz0ziiJcPxywFR4Wx9mfV7aa7FZFwIawh8buu58/adiuTxgSO9lG+PTgUdkGO1WTu1tNsed4Ac+cGqfYR1Q5bkDLdLi90cCyPd76cJedmimcry2bMAxxvAhNhVRCYXoiRy6psbrdwgtCkrrK2YUiv/SVU30tpsW+3O64XFutokhif16azcWJnyOMMML9cRw58Ff/q+9wZ6PB/+UvfZ5XLk59jKP79KNtefyV/+cfsNew+daXTvKX//RzT3pII3xG8XHwhUde+9o2HdsnoaukkxrPnBrj++9ucGu1xlbFpNlxWZzOIiGCCmptF8v2kWWJ8WKS8wsFJktpyjWLlc0Gnh/y3s0yY4UksiSKTPy5P3ER3w948/ouq9stgjAimVB49vQEp2bzh3KChyGKIpa3GmzsdlBlCUmSeP7cxIEA9SAIaXYcfvvHq7Q6LtWmzex4mrMnCqxst/C7nGgxZ/DN1xaPZYt4fohpu0iSRDqpx/a8H4T85NoOt9cbRFFENqXxyqXp2CE9wgjHxaOWA0EQ3tMWf1owzKP1ww9CbMcnldBEMammzbXlKqoi1v/ZEwWKufs76MMwwg9CNFVma6/DetdnBmC7Hqvb4nVExOJ0DglY3mwyVkgyUUgyO5EeSNwaRj+v0ew4/NYfrxAEEa4XoGuCg9ytWWSTGtmMwZ/++imSho4fhHh+yNU7+4VvOpbLRrlDve2IZLesgabInD5RpJAVAbCHcZpBGHHlVhnT9pEkkVxyej7PylaDla0Wd9brKLLUTbZIMzOeJp3UuLBUGnj2x/V79GOr0mZ5oxlztqoicXdbBNYrisT5hRIvnJsYGG8U7fsbowhKuQQXlu5fEO/TjiepDzxNOCwuYq9ucXu9jh9EqKpEMZuIOxb2+9VurtWoNR3Wd1u4XogkixjMxekcCUPhmVPjRBFcubVHud4hoakkEyp/9M5GzGe+fGGSb7xygs29NqvbLTZ229zZaDBWSJLQFb7y4jxzE6KIZL/+8nuvr7K51+6OM6SYTaAqMq9enCSRUHnm1DhhCP/me3eotx3ubNTJZXQWpnKcmsvzuWdnxDr1fW6s16lUTYJIJqHLXFgaiwtIDft9hmG7Pu/f3sO2RZBlMZ/kmVNjBzj9Qtbg9Hzhnj6K+6HnAz2OHnc/PEqO+JOOxykLDnvOdzYa/PC9zfiYr7wwx/R4mn/zvdv80TvrbJVFgcapYoqpsRQ/9/mTeEFIMSt8k73Yo3LdIptU2Si3CPyIpbksC9MFJkqpgfiXSsPixt0qbSsgk1Q4t1DiO2+tYTmioON4PsnPf3EJ2/X5X763zG5V2CSyLIJul2byLM3mODG1vzdfv1vl7naL9d0mhqZxajbHucUiY/kkHxfCMMILwgMxUU+7f/4w39MokerJ4+PUCXp6me2IxNtcWh/Qy+5uNfmjt9cJQpBlISMWpnMDe1FPh5RlmSu3ylSbNooiMZZLYto+nh+KxI8o4sO7VVwvFPvbyXHCQHQTNwyF9d0W9ZYoIplP6yxM57AdwT+4ns8P3tvA9UWBx59+ZZGXL07FcXnffXsjjo3TNZnTc4W4s0UuI4ovt00XXReJkveLz+vdk+8F/H9+433alocswcnZAr/2zbOYXR5l+Lv9PkhFEevfcYN4XGHIgH99cTo7IJf7bZfD4hA+LrnSk2m6KrOy1TwQZ3rcpPqnGY9Sj3kc+LTbBm3TjWONP4n45b/+G3HXL1mC3/hbv/xkB/QQ+Kt/6w9Y3moRIYrm/z/+ky+yOF140sN6IHywXOHNazuEISgK/Mznlpgqfbp81MfNN/jkS+VPACRJVLl9FAZry9yvmu0HosL0YedPJXQcP0KR5Vip6K+W0v+dTEqPhWqr46LIohKWH0QEkaggawydX5Elai1Radt1AwI/IoyEQtJsu0gIMlGSJMpVE9PyUGQJ149oWy4t08MPRZXgIIgo93XjAFG1W+kqLb17brQdwkiQwlEEtWaP3JExVBnTDmJFp9n9jun4hGGE44mA9XLdJghEZXJZlg5UIe9VJFZVmUxKP3YCR28cuZT+yBI4YLDVURhGtIeq/A9X/rds/0Drqh5EFXLxjBRZvmcF9hGeLPp/G1kWCUX9MG1voGr2bs1C787Ze8HQVVIJDVWV8f0Iy90/x1alg6oo6KqC6wXYXoChKXjdQyzHR5IkHC9AlsTa0VQFTVUwutXwh5XjYGh+NjouERGm4yNLIvms1rJBkkVgO6IVseP6dByfjuXS7Dg4njjeckQl4R4kJFzv6O4z94KqyMdyZCiK3K32rxxqSEmShO0EsQEWhqJKyKPGUdcf4enBdsVElmTS3eS/vbqFpsqoqpC5nS7h7rgBzXZ3jUdgu+GRv21vT+qhXNvfK103oN5yaJlivlmOIFB6sr5XRcHuJi325uiA7I+EcXUUlO4+2d8ivEdaDGN4TzlsjzlsHp9fHGdiLHeoDBO6iTTQgrFj+2iqcqRu5QchVvdZm46P4wbCadStjAHQNj10TTmUOIGuDtJ33t612pZLUtdIJwxcL7xvJb+e/mLZHo4XxnrYXl+Vc11T4rkBQoaYj7ijz2EwbW9AX2h2nMd+zc862qY30A6y2XHjLk6iAq1Cs+MhKTKKImM7PmEElhMQheAFAX4Q4XgRjW5yYxhJOJ6PJCl4QUAE1NsunhcQROCHwhZoDq1zUbkuivVcq0vAApi2P7Dmmx0X5T57piRJB2yFh8Vx9uf++Srsoae/akxCV0cJHCPcE715LUkSuq7i+IOVTg1dIaGrSEikEjqWIxKDvCDsVoqRRNKxLBNGMo2Wg+MF+GFE2G0X3ui4bFf29/Hevmy5QZzAIcYyshNHGOFRo97lz3pBOyM8OmSSGn/lz7wIwL/5wTLv3ig/4RGNMMLHCz8ICUKhb4LonhGGEbs1C0mSCULh0I6iCDcQAQ5hGMUcXxRGgETb9Kg2bSRJomO7OH6IH4SoqkK97aCqMlK3mEIviMJyAmzHP5QTPAqSJLg8o8v9y7J0aFdbRZFpdFx8f9+WbrQdfD+k0lddttZ00BTpWLaIpsrkMwlyaWPA5rcdv2uv9e7L3+dtRhjhCeJ+tvjTgmEerR+q0vOzic87ljcQzDTMVxwFucuRStJBn16/jWM7AdWmjeuHyLKE1e1yfj8bp5/X2KtbMS/iegGtjhfzr34YIQHVphuPKejjLQHWuoFnjit8ks2Oh6apBEGE7Qhu5zBO03F9XC8c8N9JktTlhSKMLk8aIcUcjuX4B579cf0e/YgiBjjb3ZoVcy1BENE0nQPdODw/xHaC2Ad93N9yhM8GDuPuW6aY05oqIyGx0+dn6Per9dar6fi4foBpibUhfIdhd1343SSLJMmExvJmc4DP3Ci3kWWZIARVUYRvXZK6AZgS1YaNqhzUX/YaVrfIYyCSPx1RhTwIIQgEj1Jr2bh+gOsJ7ra3VqpNO16PqqqSTugYhh4Xi+yP7xj2+wxDVUSAqK6r6LpKx/IIwii+7x4OkwEPCuWQ5/CweJQc8QhH47DnPNxJbrdmYmgK67udeG1ISHRsj7264Cc0RRZ7kyv0eU2VsRyPluUhywqarqIoKmEUHYh/aZkeiqKQz+goisLmXhurGzyuyHL3HDKVhtDfe4HUli1iDbwgGFgTvXMGgShmFUURQRh97BylLB98tp8E//xhvqcRPlvo6WU9DOtlOzWzmzQgIUtiDx7ei3o6ZE8nzSR1kroWFyHUVBlZkkRHTEXpJmkrrG+3kGUJVZVxnIByzRLFmmWJvYaF6bhxbN6dzQayrJDQFRRF4e5OcyAur7+TjGkLvT6+p+68zqR09K48ul98Xu+e9po2djdOTpZltqsdZFlc97Dv9sfouV5AtbE/jlprUC9udpwDcrnfdjkMH5dc6ck0SZIOjTP9NOBR6jEjPDj6Y40/aXj72jr9pnwYwXq5+eQG9JDYa9okdIWkrhAEIW9e23nSQ3pg9Apmiw5RErvVz26H5Kdb4xzhALJ9AY6KIpFKqN2KFiJI0bTduBJVr0o+iNaVw5tXo23huoPEWzatE0QiMzQKI9qmje/77NU7+L6P54tKwUEIhZwRfz+hK6QMoZjkMjpBKDLtgyBgvJgi1a3ybWgK2bROPqN3g0pBkoTTNQwPD8bOpnRRPTQhWicKhQcm8oku4aMQRhHZ9P795lK6qADWVQgNTQEJxguJuDVc77h+hKF4lg+Ch/nOcZFN749Pkohb0PYgy9LAe8mEeqTCp2vKQGXv/vkxwuOFH4RHJtcchlx6cF5mh+ZpNm2QNPZ/y/G+KhR+EMYtEv1uhbkebNvH84RCrmtyfI4oipgoJGNnpaLIaJqC5weoigQSJA0hawxNIQjDgesfBs8PCPwQWabrMA4p5hJIgNpdgkldpZA2kAhJJTSiKESSwFAVUrpMwhDtjHvzNmWoTI/vV47oycCjcNy12ZNr90O/rO1Hpm8tybJE+iO0HB7hk4vJUiomFqMoIp8xupXXQyAklei24dWU/TUtif1z2NnXQ/8cNm2XUm4/6EvXFQpZI5blSUNFVQQpYuhKXMVyeF/o31eQIHGIs9HzA4JQVM3IZ/WBfXO8cHh1vFxaJwzD+J419WAC2mEwbR/XDw/cq98NDDF0GUnar5bR27d76zHsVq3qyVhVEV0FglAEhSR0BVVT0BQ5fib9+19/AEoPe/VOXOWqH/2yWNfkrvP0aPRkQzKhYWhy1/kSDcjs4fHIshTrTMfFg+4xILoB9P+uw/vMCI8emZQWt6cPo4ikoZDuVqJ0XA/H9cmndVKGiiILMjUMAhK6IvZHxL6ZSggj1vM8ZEBXZMIoFC3Go4h0UkHXFVRZIhXP+YO/b6+rFezLj97f99KVnwYcZg89jTiufjHCCDA4ryMiDF3BcTxs1yeKRJKzLENEiOV4ZFM6mgJEIbIUIUmRIByjCEWKKGX1boVpkLqf51L6QFee/WtrcWtxgHRCHdhXgjAaSCAfYYQRHgxBGFHvBgMXR0kcjwUvnZ/k57+4BMD/65+/g+08/QmeI4zwURGGIW3TwfN8NE3Y/K7rx4EDk4UkyCI4QIpAiiRyKZ1cWkdVJWRZ2BeaKiMjkUvrjBcSwg7XhH2gqjJRFDE1lsb3QzzPJ5XUYrVBVyR0Tcb1/ANc2b3QszF65+zntntcZtit4Kso+4EluYyBqsqU+rqVFbPGsYsw9Wznnp7e4yEShtq118SdJQx1wM9wL/RzCo/TRzDCCJ9EHGZHZIZ8UumEGq/546LHbXp+gB+ETJdS8TpMGAopXUHprmeZiFrLQlOIux5ajndPmSU6oougVlWVyaY1IbeiqJtgIZFJqvF6F5yKLDqnhBFzk6KLT08eF/OJ2EfZ4198P6TRtnDcIB57r1AWCHlldDuAJA0VQ1eQJQlZ6fG+Qi5qqhT7gz8Ksil9wCacKCZjTkmRJbIp/YB/WVNlEn0+omzy6eOPRni6kBmaIz1/ih+EA361Hj+S1FV0VSGZFPqKokgYmgxRFK+7Hk7O5ujPG5gspQjDfV9CPiPsMF1XgIixnBHv2/1+1PF8kjCK4jWnqYKjDaJA8Omy6CCi9xKlorDL3Qofaw9RFJHUVcJQ6B62bbNXt3AcUcDjfjpDz8fRQzqpocjSgfse9iWLc4dd/4p/LPk64nw+HZgoDfqceh12l2ayyIh4HaSIlKFS6PoZfT8AKSShq7GerEhi7zQtTyQ6qcqhvoWkoeAHQfd7AZPFJLom43f3wp4PrJjVkeX94q3ppN4Ndlbj8/bmYDal7e9viiiQl9AltvZaWLbzQD6wno/zs4J+3xOM/H2fRdxPL5ssHi4j+tFomOw1zFgndV0f3w+ZKCQG/PTzk1mCIMByfYIgYG4yg++L+ADDUAa654zlE6QMPdaTT87mAWGLR1HE/NRg98vePhyEEamEMtCxr7en9/vdjord6aEXPzCeS4h4jO44eve/ut2gfUgBh0xKi7tp6JpCMWdguR6W61HMGjEHA2K9DY9jeJ9/GvbaT4pfdYQRPi68eHF+wH6QJZifyD25AT0kitkEthtgu6LAwgtnP3ld4CdLKTzPo2G6IMHEIXvUZwUjyfwJw+J0joQuCMLxQhJJkrh6p0LbdPnwbg2QSBgKX3txjjPzBbarJmEYMVVKxZmflhvwT/7dNfbqFgld4de+eY6ZcaEgFbMGd9YbrJdbvH9btN2rtizGcwaqqvIzr53ACyLSCY2dSodrK1UiYG4iBUgszeQoFRK8d2OP2xtN8imd0/NFfva1BT5YqSJJEhMFA6tbSbvZcai1XX73x6vkMgY/9/nFuHJYD5IMV2/vYTk+cjeR4dRsjnMLRdbLbRptl47lxSQMiOqGN9ZqhGHE4nSW+akMhYxBPmOQNFT26ha6pgy04GlbHjfu1vCDkELW4OyJwpHZsT2Ytsf1u7WucalzfrH4SCtMzI6n0RQZy/UZyyUOtJYHOL9YZLvSIYq4Z2tEWZa4cLLEbtVEliWmP2Xth55WbO11WNtpgSTW73HaPvWMm7blkU8bA3MbQFdlfubzS1y7U0HXFJ45PQ6I6jIbu22QIJ/SeffmHq4fUMyq/PhqmXJdVJH5xqvzjOVTyBIEQYDthixO59mtmVQaQmb8d//6PU5MZkXyUz6JpkqU8gk6tseN1RpRKCo7nJ4vDIwtDCOu362xsdvi6nIFSZbw3IDzS0WWZvL85NouLdMhk9I5MZUlkVD4J7/1Ia4rgtR0VSGV1lnfM9F1lctnx1G73QAuLJVYmM6xV7dwPSEDj8qsNm2PD+/W8P2QXFrn3MLBtRmEEdfvVmmbogLYxaUSiUPWGAjD9MOVKqYtHOIXTpbi5JK5iQy6qoh1mk8eeY4RPt2YKqWYm8ywvtvGdX3euVHmrQ+3sZyAXNrA0GWWZrIkDJXpsTRBGNE2XW6u1ZEkOD1foNRHRrRMlxurNTwv4PZGgzAUjsK5iTSphMb5xSIJXY33etcLUBSZWsthopjixGQGXVMO7AtTpRSKLCrutDouN7rXPzNfoJhLcGu9TrVhdxMwJBK6wum5gqi2k9a5sFg89P4NXWFlu8le3cb1AgrLFXRd5fmzE1zuyqhh/PC9Te5sNAjCkMliimLO4M5GU7S+jCJmxtIUMgZ7dYsISCU0ClmDIAj58G6NjuVh2l63SpDC/GSG2Qmx369tC7l7calEJq1zei6P4wYossRU95ksbzYo1yxkWeLMfIFMUuHv/6v3Wdtpoakyv/bNszx/djIe7+n5AjuVDn4QMtl9jvfCZFEc07Y8dG2O63drqIrMs2cGn8eJqSy6puB4AeP55EDC5f2wUzW5u92ESJxnZvx4LZI1VeHiUinWhw4j7EZ4tEglNC4sldgst9nY67C1Z9IwXTbLba6tVFjdbjNWMDBUhSAUxnbN9tGUiI4domkR48UkN9bEOmtbLqossqGLOYPTc3mCQFSncV2LMycKLM7kWJjKdQMQBHr7o+OK7huLMzlmx9Oxzqtrg3PjaWxXuTidI2mosS7wtFUmDcOIG6s1mh1RYejCYpHUKMFzhPtgeiyNIsvU2zblmsUf/mSN1e0mhWxCJDQis1szqbZs6k0bXYm4u2Niu8FAtRjHi8imFUq5BBEwnk9hOh6TpRSvXprk3MLBfTyT0jm/UKTedrAcn7XdNms7beYnMyQTKrfXhR4yUUx2HS0jjDDCg6DZcbpV76GQGSVxPC78xW89wxsf7LBbNfknv3Odf/8Xn3nSQxphhMcG03b5zR+scGOthu34nFss4rgBthNQyBjkMjoXT5bYqnSo1C12aya7jQ4Xl8Z49lQJTZWJItAUie2qxdXlCrmsQUJTMG2Xjd0OE4UknhcwM5bh+XPj/Kvv3qLWFB2up0oJGh2PthXwWz9cYaKY5LkzEzx7aizurH0vzE5k2KmavPnhDoYmEyHx5RfmqLdsfv+NVSwnoJg1+JnXFviZ1xa4td4gDENmxzPkMwbPnR3n6p0qkgTPHsE3DGO70uHudpOtvQ5JYz9oTFVksimd506PU8jotC2PuYks02P3t4Pubje71eLEPe1WTbx78JAjjPBZQqPtcHOtfsCOKGYTnD1RoGm6GLrMj97fpt5ySBoK33xt8YAf5DDMjKW5tVbj2koNSYJ8WidhiAJmqiKzvtehY3koMvzgvQq2E1DKG3z1pRN0TJcwhIWpLF96fvZQmWU5PpvlDuW6SUJT+cLlacJIFFkLI9Fl/NvfXyad0Hjm1BjnF4skDYWtvTaapvDqxSkqUxa7dYukplDIJQiCEENXmR5LUWva/LPfu8HmXgdNkfnKi3O8eG6SQtbg4skSb3ywze21Bl4Q8pMPdzg5myObMjgzn2ej3EbXVMbyOne3m1iOz/WVOl97ef4j8TfZPpswk9QoZhNMlVJs7XUoZA0Wp3MHZJokSVxcKrHdlYP38k2OMAKI5CBZFn7PQkZ0xdrYaWE6PvOT2djX1+PgJ4tJIoBIFLuoNh06ts+b13c5OZPn4skS5ZqJpgr+ciyf5P3bFWzXZyyX5N2bZS4slTh7osDUWIrFmRwdy8N2fFa2W7x1fQ9Vk1jZbJBPG8xPZrl0qsRew0JXZWpNm1rTRpFFh4CvvTgHiOJI25UW11aqeH5EIWuQSmpcWBJ8S8+X2Oy4LG82qDctfnBlm4iIbFLnb/zFl6k1/PvGIlxYLLHd7a7Q4/w1VT5w3/2wXZ/f/tFdKnWTjXKb2fEM44UUP/O5xUODNWste8T5fEpwZr6ILAnucLo73wFOz+f5jT8KkRXRASeXVnnl/BTLm3Vurtaw3YCkoVLM6qyXO1QaNrWWQ8JQOD1f4KdfXWBiKPh7u9LhzkaDG6t14dfXZO5utXC9kGrTZmYsxbNnxulYHjdWG0yW0hi6wrOnxpgsJVFkmUI2wWQxSa1pc2u9ThSJAnJnF4pMllLomoLr+fydf/oOtaaDqkj80tdO8dL56fvudz0fpyxLnFsoHprs9GlDz/dUbdokDXXk7/sM4n562dJMnigSPuXJYopTc4Py/n/+zk1+7/VVwgheODfOpZNjvHdrD1WR+forJ3B9sb5TCY2zCwX+8M01Gm2HyWKaz2d1/uidTVw34MyJAj//xSWu3NoD4JlT46xsNmI9+aXzE7Qtj+WNBpOlFC+dHww2fvb0GLs1EfNwcanE+cUSO93YtqlikhurNeotB0WRODWbY323g+X4JAzh1+z3FZZrFitbDaIIZifSXFgq8cN3N1BVhQvzBf7Tv/Mdai0HXZX5y3/qMi9fnI6/W8wa3Fqv47oBS7M5tqsm33t7A4CvvDjHF56diX2opVyCD5ardCwPQ1NYmMmystmM4wcnS0nubIhxTJX25fPHjeE406fNrzrCCE8CmaRC0xQJV8XMJ9OPL8sBPRexaXucGorf/CRAUyR+/MEutusznk/yy18986SH9MQwijT9hEGWpYEAva29DqbtU2nY7FRN0kkNVTF458YeP//FJeYmMgfO8fb17bgVme0GfO+dDX7tm+cBWN9tU8ga/NE761iOj+l4WJZPXZbQtZA3r+0yN5mlo7vcXK2L1meSxHbF5uWLGqois7IhCMZ0QsMPI354ZZNf+doZXru0r/h8eLfK0kyOD+9WcRs2jqvS6rhcW67y4vnJgfG+d3OPVELDdkXL0tmxNLmMQRiBoalMFsU03iy3Ob9Yiu8jnzag+6iK2URspKUSGgvTBwXw+m4rzuKvtxzqLWcgu/cwbO514qzZlulSadgHjNmPAkmSDq2W2g9VkZmfzB7rfIamcGLqeMeO8NERBKFI4ACIYHW7yWQxed/kIBCJHGP5o+dSLqXzuWdn4teeH4oEju61vvvOOilDzPMfX90VToFu15ofvrfJn/nmBUAYa+OFBIosk0qo7FRFi2zXC7l6p8Lp+QJWt4plLm1g2j6KLFNr2aiqzGTJHcjcrjRsWqbLna0mtuPTtjwyKR0/iPjx1W00VaaYFevK9nzevVXGDyO8AAxNQ5Il3CAir0g02i4pQ2N2Ij0wx4/jENgot+MqVM2OS61lH3ielbpFu9sK3fNDNvc6B4zWHsp9LcQdL2Brr8NS18g6zjod4dOPvbpFJqlz7kSB772zQTIR0rE9KnWbS0tiLSYMlVe6JIDt+OxURMvwqCsf+pM41nZaBEFEuW6zvttmrNt9yvVDfqpv7SuKzNxEhs29NkZfML6qyEfK+/FCkrSjDV2/harKcUvQ3apFRMTitJjnl06O3ZPsvLZcxfdFdav3lyt4XsDcZJZ3b5a5uFg60I50r25yZ6MBiD231nI5d6LA2k6LUi5B23QxLZ/zi0VqLYf5qQwpQxP7e8agY4m1u1HukE1rTJfSrO+2KeWTbFU6cdC66fhcOjV2QO52LI9ytwVsGEas7jSx3SCW2Z4f8js/Xh1I4lBkidlD9Kp7YSyfJJ0Uz/rcCeHI2Sq3BxIpJUl6KEdnFEWsdhM4QMyZyWLyWEEzcLQ+NMLjQzYlKk1lugH9y2sNtisd6i2XMIpod3wcLaTVES3MfU2h0XJIJkTVxfXdNmM5A9P2CIMIywvRVOGAubVW53PPzLJd7RBGkNDVrvNjcO/r7Y+KLKPoMpmkdoCse9rnhiw/3Jr5uFBr2XFrZ98P2Si3OXvi8AS4EUbox0QxSccWle7ubIqkxkrDot5yWJzJsV5u0+w4JHWVjT0Lzw9ElbXuPiCLBnqEQUS15aIpMmP5JMUowex4moSuYTn+oYUB8t2CBz+5thOfb323HXeRAqEPT5VSo6SkEUZ4QNRbotpqPm0cW08b4cGRNFT+43/vOf6Lf/BjfuO7t/hqt7jNCCN8GvHBcpXNbpCy50esbDYJQ1FkJALe/nCXs4tFxjI6jY4LkoShKtxar3NyJs+Z+SKmLQpC9XiIH7y3wcvnp7CcgFRCww9C0kmdM/MFfvTeFpqq0Gi7RJEIVnScANcP8fyQasNhbafFVCl1bD19dbsV84krW03OLhS5uVrDcoTztNZyuLne4JlTY4wXDnJur/b5Ge4HYfO3MC2ftunRtjw6tugiujCVo2W6mI7PhaWxY59zmNN55/puXCmu2XGpNu0DttgII3yWsLrTGrAjJoopMt2uO8VcgmIuwZXbe7GeZDkBV27t8eUX5u577lrLptF2ySQ1dqsmtiOCvCRJcGO6ptCOPK4u1/D9iAhodjy+9/YaJ2eL5NM6qzstztvrPpUAAQAASURBVFTNQ3m+H7y7SYTwhbRMj92axcxEhlzGQJYlljcbqLLwi67utMikdVqmF8uA9XKby6fHOXMED/DH729Rbdo4boBDwPWVGuP5JIWsgeuFOG6AqsrsNSwUWSKXNkjoGiEw1/WR7FQ6dCwfVZFw/YB3buzyc59ferAfaQg9m7CH+cnsff2OmjryN47wYOj3e95YrZFJ6WRSOq4XUG87lHKJQzl4zw/Yq9uiC0UkEilfuTjFwvR+IOTp+QLZtM7KZrP7nZDNcpvT3eJVi9O5OLh7Y7dNx/bY2ejgB6IL2Ua5jR+EnJrN886NXQxNpWW6gISqSrxxbYcvPTfHzfUa62WTVFIX8RlNhxOTWTbLJvlMgt2aiWn71FqO0BFu7uH7ottI2/L4H799jT/5pdPAvWMRNPVw/07SUAfuux8frlRpdVzKDZuW6VOuWxi6ygfLe7Ffqh9rQ7J6xPl8snFqLn/Ax/3t7y2jqwrppN6dhyqm43N7vYHrR7h+RL1lYjo+LdOj2hT+Qd+P2N4z2am2B+Jegq5eXWvayJJEo+OSNFRMy8dyAmbG08JHV27T6Hb6zaV0cimdsycKB+b66naLXgH9vbrN5TPjcWzT//t/fpeW6eKFIV4Ar7+/zXg+dc84i2bHjX2cYRixttPimVPH1/E/ycim9FEHjs847qeXnZzNH5ms94c/WY8LRb31YRk/CMlnxHr98ZVNLiyNxfEHv/3HK6hdv0MQhvyb768wVUqR1FXKNYta047t9bbp0rb29eSrd6pMFFJMdG38rb3OwJg2y/uvLUd0++ndU61lx7ZDEERcuV2Ji0PbTsB2xRy4/9WdZixfbtytsV0xObsgYgn/5XdvUeuey/VD/uUf3h5I4uiPNWy0HX50ZSv2qbx5bYevPDcX78XblU4cs+B4AVduVUjowufaMl12a2b83Z2qyWQpdah/5nFjOM50hBE+61jbbMUJHACVlker1SKb/WTZt8ubZvx3CPyt/+/r/PX/7WtPbkAPgX/9R7eRJImkodGxfX7zB7f5Mz9z4UkP64lg5D38hKNnowwbK/fqIq4M/exq38G90yjd9+RuD9349N3/VVVBkqS4w64k7Z932Cl9WKXq3jtx9RZp6PXAscP3NjSmeAxS39+Dnx2n8JU89KXjBNoPH3HM7u0jfFYgSQNz8Thz6iNcamBCypLc9/fRc3vwI7Haep/Hx3XP3X/ogWN615KHztv9Q5EkhuNVZORYPvTO0yeNkLqfDY//ODjWsz4gQ+51vuMfO8IIvckl0Q2o7E5spX+TuMceBvvzPt4m4/358Ml3cJ0fZ4R9r+XhNT54jvvto/37twTx+pU4fG9Uht6UpSH50dUx9kXJ/t4/KFcHb6oXwMrQ94ZxmA6hHkN/eRgMj+FRyo8D8nwknJ56SEMLTZKk/fUlHbI2h5TweA30r0+EDBhes4fN/8epi4xwOEbPfIQHQb/6Hb+HhAx9++IhwmLwLOLjrlwQ+/LB897r+r2Dh/fw0XweYYQHR60pnIKF7KgLx+PGq5em+fLzs4QR/L1//g5Bt1DLCCN82iDLcnfP3re7+/+Qla4uoMqD9nOfDiFL8gDnrtzDdu6378WxgNynX3Rtjwfh74Z1DEU+6Bd4VDx7rA8N2UvysD39QCcdfPmgnMwII3zaccBvdsiaGObdjtu9Ru5yKbDPkRzKlQzIv+73+t446nIHxtE9ce/0/bJUAtRhn8d9BMDw6RV5X2b0yyape5/9n8XnUAY5oEfFYY4wwpPEvZeONLS+j9BbjognGP7egdgKafB4WZL29ZC+QxTl4Hrr6VA9vejANQ7oPINvPEqeRRnS2WLd7Qil6qDfYiRLPm0Y3gslmf29JV4HR88dfaj4U/y1roIt9b8XHyPF9sGBLw/jHoeoylCV+L79/ygcuoWPMMII94XU7+PvdyYA8n1856py9F5yMI7o8H15fxwc+fnwsQf5g6Fz9UkUeUicDB87HMN0VMyGOO+9MbzlHpBL9/n+CCOM8PFA+ZTmPQ7HO30SMMxJD+8FnyWMOnE8AdiOz+ZeB0kSFbJURWZzr43tBozlExSzCWotm0pDtLybGUsfSWBOFFO8d3OPrUqHhK6QS+ukDJVXLu63HgvDiI1yG8cLiMKIbE6nlE9Qa9rk0gZffXk+PnZpJs+t9TqvXZrih1c2sV0VWQJDVchmdF57ZpooEh0dXjw/yZ0N0RJZUSWuLpex3ABVVqg0TMKQuKr3v/3hMt94ZYFkN+v0xFQW262zOJ0jDEQbx5QhqgzfXKsBoGsK8xMZnjs3zr/6g1tYjseJySyZtI6EyPaXZYkwiiCK8P2QW2s1IqRuVq2osqPIMttVEyodkCTSCY3psdQB5evEVBbL8XG8gIlC8lgO9vmpLKbtY7k+pWyCUi5Bo+2I6haawtxE5rG3Tne8gM2y6MAwM56OM44fF8IwYqsiWtM96Hz9rEGRJZZm8tzdFpVfTs7m7kswNDsiI9vQFGYnMkcS8KbtsbXXQVVkpsbSlGsmHdPj+mqNVELl889O8sa1MvWWzeJMhiCMKDdMDFXlS5dnWdkWnTISmozt+MxNZjk5m8PQZd65URbvTWVAgpShoioyew2bMIyIiCjmDabHUjiuz1a5Tct0MTQFPwixXJ/FqQz1lo2mQLlucmtD4usvnWB1p0295ZDQZfYaHaIQXC+gmNXxkirppIYXhKiKxOn5PNmUPtAaNQgjNrvybLKYIpfWWd9p8db1XQBePD/Jiaks85MZrN7azCUGOhz0MJ5Piko3bYekoR7auaiHiWKKRtuh0XFJJzRm+zLVwzCKZfh4PklENFoPn0H0z5Hnz41Trlnk0joTBdEZIZfSSRkKy5sN5iYyJHSV+akMG7ttFFmOO7v0sDCd5cZqjYlSirNeiOl4pBIaL1+YOvL69bZDsztHZ8bv3TEiYajMT2bYKLdRFJmlmXy38pXGzbU6hqZQyidAEu09MymdtuXyhz9Zw3J8PvfMNIszeUzb5a3rZVw/5P07e5RrFklDIZvWWN9t8doz09zZbJJPGwMVe4q5BKWcwfff20RTJT7/zAylfJLzC0XatkdSV0gkVJqmSzatUW85BKmQZ0+PkdBV7m412dzrkEmqRGHEbs3kuTPj6JpyqNztycxe55JUQnT56b13ciZHJqXzzo1drt+tkTJUvvXlkwPPrNl2+cM3V3G8gC9cnuHE1PFanva6YK3vtlBk+Z5tyXs6hKpIEIEfRkx3n/8wJEni5GyO5W51scXp3GN12np+wEa5QxCEzIynD1Tl2q50aHfbxXp+iCTB/GRm1JJ1CHPjGdZ2WrRMj8WpbLfDTUjnjo8iS6SSKr4fsNuwsR2fVELCdgMkSeKlc+NcW6lhuT5RCIYuY+gySUPl+XMTuH6Aoct0TI/dusWFk2O88cE2bcvjzHzh2Pvjo0ClYVFrOaQSYi88jhPQ63atOGqOHQfDdpauffzzr5RLUMs7on25LmTtCI8eT8Nv/agRBCFBEFJvOyzOZNmudMinE5xdKGK7Aadm89TbNjsVk0xSw7Q8+uOTw0g4AdodhxXPp5hLoGsSCU1FUxTGcgkS3SpPw/prEIbUWg7phEa7WzlqYSpLMqFyc61OEITMTmSeSJWox4UgEDLH9UOmSqlRtboRHht6lSyLoySOjwX/4a9c5u3ru9xab/Dt79/hV7722W2/PcKnF8+eLLFRbmE7PrYbcHoujxdENE2XZELl1UvTJHWFt6/vktAVOpZLqMo8d3oMy/H5ybUd5iYzXD4zxod36zTbDsWczu31OuOFJDdXa/hBRDalYzk+X39xnndulinmDFRFZmk2x0kkVrabLG80URSJbEqjZbp0bI+EoYrKzl29fqPcwfMDnj09HlfffvXSNN97ZwPXCzi3UESRZdIJle1qG8sJODWT5+x8cYBnP4on7ddr0gkVyxHdynRNwXJ8MkmNU3N5ljdFB1RdU8hnNEAigpjTfxBIkoTj+txarzNWSJJP6VxbruCHIafmCmjDUd0jjPAU4nH6sZZmctxYrbFdNclnjLibfQ8t00VWJDRVxvUCClmDF86N3/e8rhdQa9mkEipty2WimCSd0MhndGbGM+QzhuBTi0lmxhJ8951tAstlLG/wc59fZLdu4/sRJ+dyuEHIrfV63AWjh6+9OMdew6betChNZ5keT3P1dpm9ps1ELsncZIZ628F2fYo5g4limrWdNrdWa7Qsn9PzosqxoSts7LYwbR8/CEkaKrIsMTuZ5c5mC88P0DWV6fEUYRTRaDsoskTTdCjXTVIJDdfz2Kp0qLccSvkEzY5LLqXz3Jlx1nfbrGw3SSU0Xjw3yUbXR+N5oeBiHpJXOS5cP+TtD3dEJ6PF4n256EeBXmcF/yPwRv1omy7bVRNNlZmfyHxmuub1ONxCxnjkXaN6vuKErjA7fm+5stD1yVuOTxhG7Ox1ePv6LmEYUcwmKGSN+HfWVJml6Rx3t5vIssTJudyhv99YPsH7t8vc2WxiqDLp5CTv394jYajkUjpzkxk6tkcpb7Bd7aAqEi3TwzQViCJcz6dpwgvnJri5VkeRJcIQkrrK116aR1EULiyNcWGxyHs3y2iqzMsXJjE0hYVu9W8Rt1Hurn+PVy5O8r23t/DDgKSh8uyZIt97R1Q8X5jOUMonkGXpyC7otabNldt7yLLES+cnSCUGj+v3z59dKLG51yEIw3gs44Ukz5wUlceHuaClmVzM+cyMpx8Z57NTNWmZLrm0Hlduvx9cL2Cj3CaKEN1kP0X80+NGo+1w5dYeIPyKK1tinbxwdoI/87Pn+W/+xbsELZdS1qCQ1qg0LC4tlVjbbXN3p4Why7h+gKbKjBWSNNsuhiYzVUrSsX0+XKmwvtshDEPOnCgylkuyudfhzkYdPwhRJJmF2SxBENI2PfYaJqW8gSpJ/O7rK9RbLi+dm+C1Z6ZptB22qyb1lo0qy/hBQKMj5NH8ZGbgd//Vr51iebPBbs0ioSl8+cXZ+8ZZZFI6U2MpdqomuiqzOJ3DdX3eulHGcnwuLpUOdA4s1ywaHYdMUnuqu3+PMMJHxW/98R2WN1osTGf52dcW+YM3V6m3XZ49OcbPvXaCf/GHtwnDkC8+P8vseIY/eGMNTZX58z9/nmRCj/1d3/rSaf7uv3iLSsNmbjLDn/7GBV5/fwvLDTgzXxhYR+mkxsx4mu2KiGm6sFRiu9Kh3nZIGSqzE4NrrherGAShiKXokwn5jEEQRnywXCGT0vi51xb54ytbbFY6TI+leOnC5MC5Ts7luLPRIAwjLi6Nk08n+GC5gqYo/Pu/eJH/7jeusVVpkzJU/uzPXRjQj+YnM/zo/S1sN+DcQoGf+dwC331rnQj4+kvzOH7A6m4LXZWZGUtzd6vJdtWkmE3wwrkxfu/1NWothzPzBV44N8Ht9QZBePCe7of+OM+JQpKkocZ75cx4mjCM4mc7N5mJu4KmDGELfJTkzL26Rb0tZONUKcXWXgfT8RnrdlUcYYTjxjU+rZgdz5LPKDTaohvHeF7/xHXhALi4mOPa3Wb8+q/92Vee4GgeDv/eN07xf/8ffkLH9pgqpvjWF04/6SE9MUhR1Gsi9fHj9u3b/L2/9/d4/fXXqdfr/LN/9s945pln+Lt/9+/yyiuv8PnPf/5JDe1QXLlyBYDLly8/9DmiKOLdm2VcTxjQyYRKPq2z3W2/jQQnZ3IsbzWh+8vMjKePbH22stXg++9sEkURkiTx/NlxLp+ZGDqmyW7VpNZy2KubLE7n0DWFU3NZxguHGyO98+1UWtzd7uD7PqqqcnI2x0QxFX8O8N231ljbaXNtpcLmnkkmodKyPBans5TrFoWMTj6T4Ox8gT/9jbOHXqfRtrl+Vxh7wqFiMJZPUswZ3N1qsV0RxqGuq3z5+Rk2y/stgU5MZdjaM/GDkLvbTRRZYn4yi6bKTBaTbJRFC7ONcpu5yQzphMbCdPZIQ6z/3o6L3ndM2+PqnUrcmm2qlGJx5nhBng+L926Vsbut5g1N4bmz44+1WsbaToutvY548YDz9dOAN998E13XP5IcOAq26/P+7UrcvnYsn+D0fOHAcUEQ8u7NPfxu1FbbFO1K//j9LfwgZLKYQpYlLiyWBIkSRixOZbEcj0I2yd2tJvW2Q7lmoWsyU6UUS7M5PvfMDO/d2qPSMCnXbDJJjclSCtv1iSLR0jCVUJmfzLI4kyWhq1y/W2OnZlJr2jiuTyqhsTidw3Z9cmmDb3/vNo4fkk/r5LMG/8mvvsCVW2XKNYs3P9wBSRLrZDrLFy7P8t6tPXw/QJZlijmDs0Ntx+9sNNirW4DIkp8spfjOT9bYqog5OZ5P8CtfPxM7hY+znh9kzR927N3tJjtdGW67PpIEhiYMsE/7evis4l5y4LA54vsBV25XYodlKqHy7OnxI48/7HxhGCIfowzlg+5h/ceLNp97BEGIJEmM5ROcmsvHn/+j3/qAjbJYa5oq85d+6TLfe2edWsvhgzsVbm3UMTQZ14s4MZXh7IkituvzhcuzAAPtkpttl//+f7mC4/rIsszcRJo/9ycuxve6vNmk0rCxHI/1cofFqSy6pjAzniaX1rl+t0YUidbN2ZROKZdAU2WePztxwDkUBCHv3hJtywEyKY1LJ8eOfF49nWcY/+O/ucpOVax1Q1X4S3/qWTLJRxfwaTk+79/eI4pgc08k10x15fnzZ8efeDLEB8sV2qYI7FW7z7pnkO/WTFY2m4RRxPJmg8miCIZNJ7VPdbvqh9EJenpUFEVIssQzJ8eoNS0290z++MoGtZbLdqWD5XiAhOeHYu6Ppai1bBptF9sLIISxnM7SbJ4vvTBLOmHgBSEfrlTiPajesilkxZqTJPgTX1h6oP3xYdHsuHy4Uo1fz09mmL1HomQP15artEwX6M6xM+MP5EAPw4j3bg3aWZdP3z8I5HHhcT7jzzoO2NSGyuUzT+a3fpS2wa21ehzsLUvw3NmJODmlR9ssbzb5zR/c4fVr25imHyc/h4EorOB6opCBLIOuykyPZXj10hRn5wvousLzZydQFZnV7WbMQZi2hyJLGN1iACemsgdaa38a5/Ot9TrVRvd5y1KcDDrCCA+K+8mBf/77N/iHv3mNb7xygv/0f/PSxzy6zyZ++0cr/N1//i6GrvD3/g/fGCgMMcIIjwuPky88CmE3QO+9m3u4fkgYhqSSGs+dmeAPf7LGW9d3KNcskGBpOofWTWromC6FrLD3AZY3G3ECtu0GIiGj4yHL8IVnZxkvJjm3UDzAS2zttVndbgGCG5soppAkwd1piowkSWxVOuTTOqmEhq4q/MrXTqH3FSAKwxDTCfhgucLyRoOVrSbppEYhY/D5Z6aptZ2YZ58oJg8titDTa8IwYmW7ydx4GtcPqTUdFqYFJ7c0m4uDCPv1mofVcd76cIfrd2v4QUij7eKHIbIkYdkeF06OMTeR4fKZcYyRbvGZwpOQAw+Lj8OPtbLVZKfSiSt+P3t6nKShxvxjzwdSzOqcXSgd65zv397DtH1AcJPPdXmD/rUchiG2G/D+nQpRGBGGITPjGZa68qPHJ+70+WSfPTV2ICEgCAL8EP7pb1/jjQ92CaMITZF55dIk57vjlSQJXVfomC4/en+LIIyYLKaYKqU5t1Cg0rBZ2Wri+SG5tE7Hcjk5K7jWcwt5qk2HvbqwScIoZHvPpG15RFGE6fgYmsJ2pUO16ZBOqqQMlRcvTFHKJXj+7AQSEbIsx1zTejdpZGE6Syap89zZ8cdWibPnFwZQFIk/+eVT5B5zYvyHd6s0213eSJE/0v15fsC7N/vm4SG+qIfB0y4Hdqomd7f2g3zOLhQoZh9NIJ5pe7x/pxL7iqfHUixM31+u3Nmos1e3efdWmVrTRpEkQuDzz0yRTho8f/YgP+h6Ae/1yZFSLsGZEwU2yu1uESqPatNhvJDE0BQmiykKWYPT83nG8kl+dGWTW+sNai0by/YxNBnHF75VQ1f45a+eOpAsMXxt1/VQVZVi1uDswv7cWd5s8IN3N+lYLvW2y6m5PIvTOeotk92aw43VKuW6TTalIUkSX31hjslSistnxg8UaXT9kN/47i0cV8QAFLMGf/LLp+LPO5bH1eXKAf98T2cb1t36fZn9su9Rcj7lmsXyZiN+3Xvm98OV23tYXfmua8L38EnmoT5OWfCvvnML0/IIo4g7Gw3OdOMK8hmdX/yKCILzPI83P9zj1no99kt8/tkpfnRlm5XNJk3To5DRWZjO8oXL03zv7Q1UVaXRdrBsH0mR8P2QU3M5FFmmabp8cKeKLEUUc0l++tUFJEnImGpDJFu+fX2X3ZqFJAne7S9+6xIgsVnuUGlamLZPMZtgaSbHianMkfLC8zw07cGS9vrn9B/8ZJXNrl9TUaSB9V1r2dxcrcffW5zJjfiDER4Zniad4A/fXOW3fng3fj2RNwh7nT0lusVLe7p0xLW71W53W4npsRT/2Z99OV5X33tngx++tx+f+PNfXOK5MxP3jGMY3meOGxvRj1rT5jd/uEwYis+Shorl+PGxrz0zzbmFe+tyw2N0XRdd19mudGJuA0DTZDwvJIoiFEUesO2HbZn+YyVJotGx2alY8etvvrbA9Fj6ofbau1vNOC6h1zXJD8R1ZVkiIiLq5sprqjyQOD83mblnAdt7YVg26poc++KQ4NJS6dDikyMcxNMkBx4lhtfBUXGNTzMajQZ//r/4zsB73/7bv/xkBvMR8Gv/p3+D7QRECDnxf/7fvcLnnp170sN6IPzLP7jBj6/uxDrfn/nps7x8afpJD+uR4rj5Bk+srMS1a9f41V/9VV5//XVee+01giCIP+t0Ovz6r//6kxraY4UfRPsbHGDZPh3b2z8ggmrTiQ1uYPDzIVSbDrDf0qvRJbD60elW0nQ8EYjtekH39dH5O/sBneKYXjCj6fgDnwPUW273OkJJ6pEJtbbdvZ64372GdeR1bFcc4/rBwDlM26fR7gVWyPh+KJxPfWh23DiY3XGD+LueH9Iye/cexJ/3P5N73fuDoPcdoSjuv3+v3+5RIAyjOIEDxH0G4ePNy/oo83WEe8Nxg1jRgf31duA4L4jnPECt7eD6AZ4fEkXg+yG1puia4QcRROI7HTsgCEIcL8BxRQWoIIwIo4hm240r3ni+GIPrh3hBiO0E2N2101vPthPEv7Xdnfe2E8QyptlxcRwfxwshgiCI6JgeluViuwEd2yeMxBwOQ7GO7e7994ynnkOmH/3zKwwj6i07rhbcG1+tZcevj7OeH2TNH3as1TdOIYP2f5vRevjs4bA5EkYMGM79a/t+86/3+XESOI5zvnsdb3dlQO890/EHPq809teW54fUWqIKA0Cjs78XRFFEq+Pi+kJ29JIn+tdDpWnh+ftkSa3lDNxrb/27XkgURrHM69he/JkkSV15tr/v98vG/rH6/c/fvvfzPyyBA/arKAM4fkC95Rx63MOiX4cQskSMMwyjWAY/SfQ/N98P8bz9MfXkYBBEBEG/HjeSgcPorQNJEt1WTNuP9WDHC3E8nzCEICDe0wFsN6BtemKOdOeJ7YV4ATTb4pyuF2DZ+79L/5qNIh54f3xYDP/uh+3nh6FfRvh+eKBS5/0QhOEBO+sJ1iv4RDsan3YcsKm7+9cnHQN6bsSA7BeBTxId26Pedgj8iBDReiMII5DF/72nEHX1bNP2cFxhIw7K5/11abuB0Nm7OEx2fxrnszlkVzwNe+0In070dMZRJ46PDz/z2iLPnBrDcQP+m3/57hPVB0YY4XFClmXCSPB3vde2I7g1wRWGXe5NVL1vmQ6eH4AkdXlzl5blxXp37z3bDQgjwSnarh/z6MO8hGnvcwauF8a8vGnv27Yt043P7/rBAa5T2P8eRMQJ3UHXrt+umYM8+xF8fk+vCUJh+zte0NVv9q9lHcEDPIyOE4QRHcsj6PInLcvF9QQviyTR6rhdzv54dtAIIzwJDPuxjmu3PwhM2+tLmBLXhH3+sQfbPb7t3y9DPD8k7N5E/1qWZVlcKxLvK4qC5QzaVqbVd799Y+uHoijYjk+t6cTXCaKIzT0zts8Aag0bxw3wg4ioywE3Og6m7RNGEa4nfJ5ty8UPoth/Z7vhwLg8L6Rp7vt7Gy1HdD3vHmNawp/SsbyYl+vJ5Z4t6cQ+HOE/cr3HZ+P0/MIg+MDGI+ZJD0P/7/ZR788e9sU9hjXwNGLY3rce4X2btj/gKz7Kv3no94BOl/fs/Tadbhcb55Dfefj3662BHn/vd32cja7vwu7y7D1dot6NpfD8kAiod1zBwwYhQRDR7BzNafeuPRw30UOtuxZ6QZb71/S799uL0RD+1HrLjv2rw7C6nE4PPV9MD8PPvPccerLhgO52hOx7lJzPw/DCURQNzEXXO9zPM8JBuK6P2Z1jvh9i2n7ciaXR2ZfTmqbF86fnl9jY7QCSKBhFL5ZGYnWnvT+/ux29ez6KZtvFtH1qzV4CokQURWyWWwO8o+0GNDti/5QkiSiCW+uN7hr3u9y/2B89Pzh0H+4f+4NiII6pPbRf9b0enp8jf9YIn1b0CjT2sF3dj7eLItiu7hdQrjXtro61r+vC/roqx0kF3SJ/3df3imMY3meOGxvRj1pLFHjofbZT7Qwc2+/DPwrDY9R1kYgwLAvqfTGYw7b9sC1TH4rX3KsNPq/euB5mr+33F0XRoB5g2h5unx1VG9LF7xUPeT8M64cD8RDR8XW8ET69GF4Hn8Q5cXO9eeC91d3GIUc+3ejZxBJABG98sP1Ex/Mw2K6IPamn862X209yOE8UTyyJ42/9rb/F+fPn+d3f/V3+5t/8mwMOteeeey7OQvm0QVNlMql9Y6OQNSjl9isQKIrEzHgaRdnfxI+qguH5IcWsQRyqIcH81MFsymJOOIozSQ1JEscFQYiqyLiecMQ4XkClYVFpWLFzJooiCtkEQRRiOz5BFFLIDDqda02bTFIYcmP5/z97/x0saXqdd4K/z3/p7fX+lq9q3wAaaJAAAVIgCJIDaZdcaldaamcYq+FqQ2ZXnInQ/sGgFLERiqFiJkaj3VAMh6IkUoqVtOSIWpICyAYJ0wAa7W15d71Nn/l5s398md/NvKZcV3VVdecT0dF178387Pue97znOec8OoIgoGkSAjCSjSRAk3r09+nR9JHkRS6lIooCmiKhSCKphBI/n8k+Gd5kQmF+Ikfs4wgwWkjGEp/phEKq+3xTCYWRQvRsU3okVZzqXkuvE/hu3Yg3mofBD0LaphsRXPvQaNvs1Iy46xlAJqkOdH65Hx1M2obDVtUYSEDtQRQFcum9Ktf9538Q6L8nSRKYGLmz8fq4wbDcWwYNHgRSiUgWuIdCRhsgS3vQVXlA1naqK0+mqRKCAIoiMTOeieef2O2sG9mLaJ7omowsR2RDGIRMjaa5uV7n2moVWRJxPR9ZFhEISegSSV0CIbpGhGhu5tMaghB1tZdEgWxaRZIEdE1mciSNpskUsiqiEHXUHismSSRU8hmNQlpFlSUUWUQSYXo0Q0qXBzrUHZbk0v87PwgoZnSKOR3DdGkZDgldYjSfPHLePgj0y61nUmps4z0/QFOkmJjx/aB7XcPg48cVpulwY70RdwTrQZH31jXgwFrajzAM43XZcX3apvuhElO97rjzbxP07jn4g/Z88Dr7O/KlkgqjpXS8Rk+WU4hSZFNESWC8nETXZHIZNbIlwuB9j5fT8XoNMFpIsFU1cJzonlNd3yKpK6iqhKZK3WvSyaXVWG0jnVDiObffhvagKhIJfc9mKpLAjfUGHctlp2bEZM5R6PkCM30dK7IpldH87TvyGJbXvS+PnVokE30UMkkFuXv96YQSjxlNkUjegbxq713fKcHRP9buBP22LqnLA93K8xkNBJClqPtJvx83xCD6/aSO5WK7HqoqYtse6aSCpkhIIshypEqjaRJhGJBQRUpZHQQQBQEIKWQ0FEmAIKTWtpAlGC0mcL2IrF+c2puzqixRzEbzzLAOFn3fT+TS2oAiTm8vcjv025zEvjF2J1BkadDWZrS7Doxa9kG/a4hHD4ftqferMD2OKPbJUGuKFO+j+8dlOiGTT6sosti1BVFwTgxBFnvUSvT/yD9XsGwP03LQNQlJEmmbLtlUtId0XB9VEQ/MnU8C+u2xqojx8x7izmFY7jBB9Q7QI+uGUvMfHURR4P/6C08jSyJvXtzmu2+tPexLGmKI+4r+eLUsiWSSKpbj0ezYaIqIYXsUMiqEIIlRZ8iRfIJMQo2KLVwPSYZsUqWc0wiFkGbHRgTGC0lSCQVZEkhqMkldPmC/ejHTQlaPmsU4PkldJqXLJHWFUk6PfbPRQhK9u59PJxUEhIGkW9P2kARomw6ZVOSP6KqMJAkcm8oPxkmPsKO938tStJ7rmowsiei9fbRwf/0bSRQoFRLxfmWskIjPKwDlfOJAHGiIIR41HOCx7nDffjfo97cjW7UXv1OVvXPf6fw0bQ+9L07Qm2PVpkWjbQ9wzKos0u4WWMHB+ytkNdqGS6NjRxyKJh8aU0slFKbH0shSxKEossjZ+SIIET9ruz5ToykSmkxCl5FEAbVrc/0wxPN8Uomoy306oaAqAo2OTaMTqR8VMhqeF/Gvui4zUYoUEYMgIJ9RQYBsKuJ1C1kNWRIppLUDcbnes04lFURRIKFF37mXOtY4lnkbDmNyZE+9UVOlmIt9kOh/jwlNPqBacDdIaoNc1CdlH9wfnxeEKIZ3O5i2d2RicxAEcXw9k1LviSvurePFnI4kCqSTKrIkoEpi/J57+Qs9HMUlTo+kkaQoTwEhUqZAIOoWLUA+o+N6PqWcThCGJFQZSRKZKqeQRAFFlhAEAd/3D9z3ylaTzUq7O/9ELMeL8zT6MTWSJgwjFSDP90knFRzPZ3okjesFXVsYnVuRBMbL6QN+Q+/cmaQyMDb78yWihnjERWZ38sz751DPh7zf6PEEwB37YIIgDHwunVQeuir5o4aj8lVUVaacj+yvLEfrj9RNUh4v7tnpMAwp5/R4nZNlkcWpPCEhCVUiCEPSyYh3Oz6Vi5soaopIPqPF9na0kKSU0xkvJgmDAEURkUSBE3NR9/ueqlVKlxkvpYAQ34/6/Z+Zz9EyHJLd9VKRJeRubsNhY7fWtNitGwd+D3e+VgFM9akNJzU54li6yHXzHID7umfoz7X6MOiYblyENsQQHwZPHisREnaLF0OeOFbqNoMNUCWR03OFuLhqZixNPrU3F+YmsgM26PhsHj8I4kaEh3Xfv7pS4+pKDdjzFZrdpg2O43V5yrsb26OFBGrf2nB6rogfdHMggoDpkfQ951UUMlpUPO1EjeGmRvfW2/3cyf69zNRotO5btofvBxyf3lMDkSShq3JyNILusz2sOHn/fmq8tHesfEYnnezLFyunBnnZD5GzN2AbYeB5iKLwwNX3Hkfcj5yexwmphIIsC5hH+MOPAz51boZ+WlkUYHb0oPrvo45cSqXX/zMEvvq5uYd8RXePMwuR+rPr+YhiyLnF0sO+pIeGh8ZSv/nmm/zmb/4miURiQIUDoFwus7u7+5Cu7MHj1FyRSj2SMi/nEnHxguV45NMauiZzbqFEvW2jq/KhG4a26XLxZpUgCJmfyJJOKIyXUkyUDxZxTJbTJNRI8lAUBAzbY7tmEgQhOw2TQkZjeasVdaslShw8MVMgn9GYHUtHXXIcD1lWBoIib17a5vz1ChAl8/30Z+e4eLPCbt2i3rbQdZVTszoLk3kUWaCYTfDu1V2mx9IDgQYguufFEo22zYmZPJ4fBURLuQRz41lGCglMx+fYVJ6kLnN2oUTLcLrJmyqZlMpu3WR+MgthSIhAOZ+IN4GG5XJmoYjnhyR1hWxK5eV31ri5HlXXnVss8eyp0YFr8vyACzeqmLaHKAqcmivEAY3LyzVePb8JYZQs91OfnkUURVRF4uxikXrLPnLTeTdY2Wrx8jtr+H5ILq3y0y/MDUjOA5yYKUQqJyGU8g8+UDpWTN71eH3ccGO9ESu+TI+mmbxHqbm7hSyJnFssUW1aqIqE5wW8e3UXwkE5Z1EUOLNQZLduIksiogDvXNnhxHQeLwg4OVvkxHSelukwPZrGdX2Wt9skNBnL8SkXdGRZiLr1BiHlQpJvv7HKW5e38byAdFLl2VOjtDo2bcNhbiKLKot84ZkpVEWK5x1Ec6fZiQgRSRIJghBNlSjnEjQ7DuMjSW6sNpElgefORJJXx6by5NM6EyNpWoZDLq2x0JUzP7tYpNKw4vm/H9OjGZK6wtXVOkEQvatG246VfuptnSsrdfwgRBQFTs4W4iS1B4XxUgpNlbAdPxr/YVQdurbdZqdm0jZcjs/kuLxUx3Z9JEngzHzxgET7EI83qg2Tf/vNi3QsD0UW+cWfPMHMWJRALQgCp+ejOSt01/7DEIYhl5ZrNNsObTPq/pRJRoVBp+eKd52gatoeF25W8bwgIhkXSwPreA+Nts2VlTpBl4wcH02S0JSBZFKAn/+xBaZH03Qsj2dPjJJQJb743BRXlhs8e2qULzw7xfvXq5ycyzNRSiMIUaDYdn0ySXUgyJFQJX75q2d568o2hulQbdp885WbOG7A2fkiiiJSLiRIajJPHith2N7AGnN2oUiz43ByttBV8YJyt5h0P0QxmnOVhsXyZoM/e3UZz/Npduemqsh8+vQ4p+YPyqz6fsD5m1VMy2N2IsNIMYkgCjx/ehRVvTWRsFs3eOm1FTwvYH23TTkfBZiePjnCk8fKBz6vyBLnFkvUmhYnZvIEYRRQK+X0A5Lx+2HZHuf73vWZheIticz+sYYAx6ZuL2t+bCpHLqURdAP+/eMxl9Y4O1+kbbqcmS9iOj6iIFDKDZMV96PnR736wQarO23eurTdLWYWSagyuaRKvWkRhhKBIjFeTCKKAp4XMjWWQJIEvCBktJCEboe4P31tmVI+wfHpPGdmC9zcaiGJIi+cG8P1A1odh7Fiiu+9vUar4yBJAl94dvqepXRvh0SfX5/Q5DsihAEWp3Lk0lGwtJxP3FNS/p3Y2qPQL5lczOmx9PwQjyb276k/DpgZy5DU5dj2y5LIVtVgaSPas+qqxM2NJqoisziVY7vaYatmEPhhl/DWSegyYRBgOQGSJGDaLhduVljdafPVF2b5wIu6Smpdn36laZFOKmSSCuV8It4rfxJw2PMe4s5xdbVOtduJbXY8M0AiDTGIXie04sek4cXjgpmxDP+7nzrJv/3mRX7rD9/j2VOjnxj7NsTHG54fcP5GBcv243i11vUR2qbL9bUGF5dqrG63UWWJkUKSz5yboG3YvHlxm62agSSIZFMqkixE++SNFh0r6n79V//SCXRNxbCiQpB0Uh2IDfTHTEtZHS8IMR2PqZEUM2NZZEnkuVOjbFU7+H7IWCnJZsWIldMuLdcQhCiebVguy5tN3r6yg2l7JDSZZ0+NMFFKMTmSppRLUMzp1JoWmiIdWcTRH6s+t1Dk3esVRAHKeZ1MSmFmNBPHMe8XTs8Wyac1ak07StYOAnbrJqoqkUtpFLND32KIRxv3m8c6DBPlFLoqYbs+haweJ+TKksjZhT0OZH/88TCs77RZ3W4ThFHscno0Qzqp8P1311ndaiNJAucWSzx5rEytafGdt9bipi0/9szkAV91u2Zwfb2O5wXMTWS5IERd82VJ5PR8IY7by5LIz31+Ed8LWNlpMzOa5cefmaTZcbm4VCWhyYQhnJorMDma7iaZh1xdabCx24n428kMmiohAusthyvLDSRRwHF8njoxEjXy8XxyGY0vPjfDxeUar7y3jqpEe5VnT46Qy+oooki6G1/dH5fr2cGZsTRBELJR6eB6AR9cr9wVv7VVNfjz15fx/ZB0UuErL8wfWez+6bPjlHIJOqbDwmTuQxVU3CnmJ7JkkuqHihv1IEnibbmojyMKWZ0zC0U63eYOt+OoenMPYKSQiHk8iJIyX3ptme1qFJv5zNnxe+KKp0bSJDWZ2fEMtZbFVtWgY7i4QYiqiLx2fpMrK3UATs4V+MzZ8SPfXyGr85UX5ljfaaNrcsTpR227I18gDHnnyi5hCBOlJOXjSQpZHV2RqDUtLq/WqdYN/tP3bqDIIk8dH2GkkOCti9tcWY2u4fkzo4wXU5i2hywdLNpM6TIhkZqZ74d4XsDN9QZjpRSe7zM7niGVUMilVWbGMpyZL8YFoABrXW4RYLSY5CufmeXKagNZFDkxm+s++5CLS1XaRtS8q5hPMFpM3faZ7+cy77aBzp2gnydIJ1XSd1jUenw6z27DjHiejyDX4XHCfv//9FxhwLf9qU/PcrmbLD0/luHGZgtRhBPdROIwDCP+L4zmcSapMjeRZWO3jYBALqMxVkyRSalMlFPc3Gqysduh0Yli+197cR5ZlhBFgdFCko7pcnW1zjOnRtFUiScWS3TMSAFEVUQ+fXaUSsPieW0MxwtoGy4jhQR/+soKmZSOpgiU8jqyJJFNRdznfj//9QubXLwZ3dOxqRyfe2oy/ttOzeBbr0e8WzKh8NXPHr1WAbzwxASlvI5p+xybyg7k2aQTSpznkEoo96WwaadmcmOjAWFUFHJiJn9PHfivrNSoNW0QYH48y2jx9k3lhhjiKMxP5JgbS7NVNRgpJvnJT8/yow82aXVsTs4WmRvP8NqFLYIg5OyxMl/+zCzfeWuNlCbzY09PcP56Jc6ZG8nr0V64ZVHO64zss9m/940LvHslyvU8t1BgvJyOYggCPH18hCvLNQzbQ5ZFfurTM5TvoGEiRAWZX/38PEvrjThOsbTZxDAdVEUnCELeubJDGEYJ5qfni0h36CtqatSU1bKiovH5iSztfFRYsX9vv38vk04o1FoWpuMhSgpPHysyXk5Sb1lMj2bI32Kf5QchF29W6ZhuHCfpX8snyil0rW/dliUqDSvm6YMQKg0TRRYpZnUsx79rXvYwpA6xjY22jWnv5QcOsYday+LqSp0w5J5zeh43iIKAIklYlomiiAMNqB8nLIynuLYRqfqcmcs85Ku5N4yVklS7KplRc57Hj4M6t1jm7Uvb1FoWM+NZJkcez3dxP/BQZ9JR8neNRiOWrvo4QhKFA452tBjvLaS6JjN+C0O3WenEVXyaIjM5kmHsFs57IavT6DgkdQXbjaTFt+tmJL3rB6zvdFAkkSAMabRtFqdy1Fs2ggCyKMZB3O2awex4liCINow9GJbXdYbKXF9v4PohmaRCOqGSSSoDgaD1nc6BIg6IEr6OMu7HZwYTK1N9HarhYOVpP7Ip9QBRa1hOXMABcP5G5UARR7VpxUoMQRCysdshMxsd5/3rlViidLtqsl0z4/Prqsx46f5MrfM3Kvh+T/bVYXmrdeBZ9DbNHyXudrw+TnBcPyYjIQqYfVRFHBARKL2x9Nal7Xic1Zo2huUOEAi9z31wvUIqoZJKRONzopRClqN5W8hEznsvcVtXJdZ3O+TSGik9WsyLWZ03L20D0ekabZuO6WA7EqWcTsd0SeQSlHKJAwHJpK4cGejNZ7SoGGw0O/B7URQYKSQO7c6kyNJtE4BSCQXCqAvzVi1yinv3vlUxuLJSY3EqTxCEbFY6H0mixn6iKwzD2J6Ztse11Wbc7d73Q7aqxkDAe4jHH29d3qbT7RrhegGvfbAVF3FAtPbfap0GaBlurOJRaVjQLeJoGy7NjnPXRXLbtT0VJ9eLOl1Mjx50ejf6fArXC9BV+VACVZIkPtUtxupBFMW+4ocSP/7szB1fXzat8sVnp/nGD28ShpH9rTQsdhomE6UUpuWx2J0n2X3BhlvZnsMgS5Ea0LdeW8YPQmw3oNay2aqazIxm+OBm5dAijmrTjmVDBUFkciTBydmDnzsMF2/W8Lyoc8du3eqOgRQXrlcPLeKAqPP6vSRBHnzXJjNjR29w+scaIazvdm5LVgqCcMuueumkGpMH2SM/NQRE5MB2zex2tgm4udHk+HSBetsmEAQEUURVoyJvw/I4Np2PCEzTpZxPkUrKnJjO86MPtrAdnyCMOlMFAZxfqnFmvgjARsXgU2fGALh0s0arK6Hu+yEXblQfWBEH3NqvPwqCIHxoku5ObO1RWN/dk5SuNizMEe+xDTx9EnDYnvrjgP22eK1PNvbSUo22Ge0HsmmNtd0OqYRGx3QIAaGrvjeaTwACK1tRMqemRsXbr17c4sUnJtFUGdv12akbMUlqWB65tPaJG/OflESd+w3L9uICDohiPMMijqPRU2LLP4AO10PcGr/w5eN87+01VrZa/M//63v82l9//mFf0hBDfGhUGxaWHcWXgiBkbafNTtVAFAREosKx7ZqBIkvdLu86miKy0rQxHR9NkbEdF9P2qbccLtysEQQhKT3ay52/UeevfuXUoefeHzM9f7PCWDEVxxzFPv9scSoffy6b0qg2o/gdRLmUG7sd2qZDve3QaPfikwqm5fPk8ZH4u3e6R+7FqluGgyyKccKC54X3vYADonudLA82qjqsudYQQzzKuJ881lE4qvhKvcv4V29fJAoCvh8pk25UOlHyOFGcY2WrzcJkjuvrTTqmGydbbVeNgY64jutzdaUeFR2odAvlpbg4YLtmMj+xF3M0bI/F6QKL3WNs18yoMKXLBzTaDpMjaea6DeleO7+J40YxOkGA5Y0WJ+eKbFUNtioGqiIiCAI3N1oxh5NCwXZ8DMsjqUoktT0OyAtCnj81dttn1ONiHNdnbacTd2K/G36rn49sGy431hu37IK5OPXR8hv3I27Ujzvhoj6OyCTVO05U7o9J7NRMpkfTcUHWds2M5yBhNH5OzhbuiSvu2YrxUgrT9uM5UKlbXFquxQUOl5dqPHdyFFkWj3x/pS6XeRiudhtZAeTSOlPldOy7jJdSvHe1giLL7NTbhGGkFNbq2FxarsXJeK+d3+InPzUb24C1nfbA+a6s1BEFkaSuEoQuW1WTUk5nbbtNQlPw/IDxUoqxYpJcWkNTpbiYIgxD1vue+XbVYGokfWAeNjo2bSNSCVFkCS8I75g7ehBFe/vRzxPcKR5GrsPjgv3+/2bF4Hjf85XlKKG4h/3jxbA86t3mEiP5qOivbbi0zYj3yqd1sikFp8sNnr9RoWk6sT99ZaUR7w/8IGRpo0k+rcXKPrIk4fsukiiS0kVkWUaWJNqmwfRImnrLpmk4SJKIbLsYFowWU/H7luXBwucgCLi4VIt/vrbW4NnTo3Gx4PkblZgLM0yXa6u1gf3DYej3A/bjbrnG22F9tx3ndtRbNh3Lu+Niph4My40KOADCyM58HOPgQ3x0uLxcI59JkM9E69Vr5zeZG99jcq+uNuL8gWY7KtD9+o8fA6L1vz9n7tXzm2RTGtlUz0bU4zw7y/LiAg6Aty7v8FQQ+f6E8PLba2S6eTueF3DxZo0fe+bOx3Y2qcbz/dXzmyiyxGhXdei1C5txXkbHdGm07TsqFoeokFlTpDi2sdswD81n7KF/L7PeLYjrra+9HKBbcfQ9RDlZ0Xrei5PsX8/3r9v9PL0EA77QvfCyR2G/bcyltQ9VGPJxxsZuJ1ZA7Kk9fhT+1sNEy3BihV6InsHjxrXtVJpsN5xYMXRlx6LZtMk+ZhzO5eV6LIIXAr/7jSv8X37h2Yd5SXeN8zcqkW/YtefX1upH5lJ93PHQ2gGdOnWKl1566dC/fe973+PcuXMf8RU9XlD2dXKSpdtX8vUqTXtf7QU9ZElEFIW+/8QowCdwoAtDbyMliiKqtPc3SRLizZPaPYHYrSrXNGlAbutOrvVBQxbFgWs6rNvE/mfcL9+u9W8oBWJZ+PuN/delfQTdbD7pEEVh33h9eF3T5H3j7Khr2T+n9gc8egF7iALdalfetPezIAoo8t59CwIkVQlF7tkMAQQGpJAfJqS+dyQKAooyWP3erzSgyA/n/e1/V5q632YPu/F93JDY1+ll/893gv65LInCwJzbP6/vBAd9haNsyMMdn/0JHwBq7J/cf5uja/vO1b1X7YjnK8v77OtdPJueUocsMmDDVfX+P9/94+N2tm//s90/VoZ4sBDF6J31xqEsiQjd36mKgCAIiEK01smyGP1dAFGI/q9IIpoqI4pCvMZH/jwoyt677X+vmjb4jh+U7/o4Y2BeCI/GnmWIIfrnsaLs2Q1RENC6iRMCAgLRHlcUhVipTxJFhK7fLAigyzJi375gYK8pcMedqYYYQpL27Znl4di5Fapd4v1xlBV/3KHIEn/vrz6LKMB33lrlh+9tPOxLGmKID43D9n6yIoEQ7XNFQYj31L3YfEKVUeTIPwC6sf/oc6oi0jPqoiDEe+bDsD9meoA3uMW+cv/flO4+p3c/Qnf/82E7Qu/3Z4bxtyGG+Higfy4L3b2LIokDc16WBCRROKBCrCqDMdoo5trHJ8jSgeMMfv5g3PRWsVRV6b9WAa2bSKXKUdymd3RFPnitvcT0fhymqnwrSB+C39IP8JFDG/pJx/65J/YNroNz7f7EGvvnoCgNzim5O4/uFfs5zv1+VS9u34vLKpKAqkr0T6P9MdWDXOARXMe+/0t9ceEeBGHQPvXyNvbjTnmfIT4e2D9O75YrlCRhb/Ght9bsW0NlMV7vVEUaSCDr3x8IMDAmJUk4wEXpitiNM0ZxSkGM1mdR2BvT/Wvd/vF7WA5Sfzxzf67Mo9aQZuB+BJDvId4qS+KBdzbEEB8G+9eu/UoK/Wt6z9fuYX/cd7/6Wr+NkOVBflqWJfqm84H5qn4InnK/H6LtO/bdrI0fJk/ivn53GGN/LHEg3vUJ8Mv2r/2P4zqlKdqATyMK4mNXwAEc2Ct8lA3K7xf2xyESn+Aclofm1f7yL/8yf//v/30SiQRf//rXAdjY2OCVV17h93//9/mn//SfPqxLeyRhWC4rWy1CYHo0w9RoGtv1MSyXQlanlEtQaZhxlejcRBbPC1jeahEEIZMjaUYLSV67sMlOzSStK0yNpPD9gI2Kgev5bFc6CKLA4lSOta0WHiE7NQNVkSjnEnh+QLVpsVs3EQWRqdEUG5UOvhcgiiIXblZJJWTmJzNcXa1zba2BrkZdv4IwRBQgoSl86uw4nh+wtBF1ph/JJw/t7LxTM2J1gOdPjw5Iqb1+YZPtmslO3cBxfHRN5txiiXRCZXY8gySKLG02cVyfsWKSUi7B25e3Wd/tUEhrfPrsOC8+Nclbl3dwHA8B+KOXb1DKauQyWnxN46Uk1aaFrslMj2YimfetFqPFJJbrI4RweqFIPqOzttOm0bZJJxRmxjJHSiMGQcjKdouO6ZJPa7c0op8+M4bt+HRMh7mJ7B1V7A7x4SBLIsen8yxvtRAFgYXJj7afeG8eq4rE7FiGla0Wvh8yNZoeCII22jbrOx0kSWC8lMIPQhzXZ7SYJJ1Q8P2Apc0WluNRzidQFZHra022qx0KWQ3PD8gkFQzLZWmjyWfOjvG9t6OEhrPzRQq5BH4YIksShuVyZaXO1ZU6X/3sHMVcgmbHYX2n3U0UC/l//Yf3aBmRis8Xnp1B1yIZ9tnxLJIosF0z2K2b6KrMaCHB+m6HWtMiFEI2dgxkSWR6ND2giOO4PkubTTwvZLycpJDRabYd/uSHN6jUTUaLCUq5JKfni7z6/iaiAOeOjfH8mTEuLdXwgoCRQoIwDNmtW+zUDXQ1kmXe70zbrs/SRhPfD5kcSZFLa7iez9JGC9cLGC8lj+wcdhimRzM4ro9pexSzOjNjGW5uNKm3bFIJhcny3XV42m/fh0HZRw8vnB3nP7x0ha1Kh1xG47/6uTOEYcjqdpuW4SCJQk+5m9nx7KGBxaSuMDueYbPSYWEqF8foxoqpu+rUsls3eOPiNkEYMpJLIMsi2ZTGaCGJ5wW8en6TettmaiTN0ydGmBvP4HkBluNRyiXIpbV4rnVMl4WJDOPlNLoqMzeeGSAS6i2L1y9s4fkhT58oD3SeDIKA185vUWlaZFMq5Vwkcz87lkHXZJY2mpy/UcXzPWzXw3YCJstpHC+S+zyzEKkJnL9R4eZGk2xS5TNnxwbkjvvxjR/eYG2nQzGncWqmgCiJzI5lSOpKbLNmxzKR/+F4jBYS7DYsmqbL3/ja6YFj9c//pC7j+QGm7fG9t9f49purvPjEOKf7uhsdhqcWS9xYa9Bo+5yeLZBNKiiqzItPTtzxu7xTjBdTGJZHq+OQTam37VrVP9YUOZKGHeKjgyiK/NhTk7x+cYutagfX91ndarEwmeWtyzt0TAdVFmi6UMrodCyXTELh8nINywnIZVS2awZj3fW0bdoYpshbl3Z44YlR/vSVJRodm3I+wbdeX+b4dJ5Ts0U8P+DCzSr5tMrPfn7xnq//w6yPt0K/PXnyePmBKoUchmNTeW6sN/D9kOmx9IHEiSGGeBBoGQ5r2+2B9bEfx6ZzfHCtwuWVGus7bWotm5BIWdPzPTqmje2GEMJGpc3aNlwUqiR1mYXJLLqqUWnaBL7MkyfKZNMKnhd1aBwtJHj1/BatTrTXdL2A77+7jml7nJzN37JL3RCfbCiyxOJUjtWtNqIkxMppQxyEaXtxt7o77f42xP3FydkCf+UnjvP7f3GV//fvv8O5xdJHotY5xBD3G/3cgONFKpbZlMpTIyOUsgkaTYsbbQfP93G8gGrDJJVQcFyf7ZpBQpdRFRHT9sgkFVzP542LW4wUkoyXklTqJpIUdX/8n//gHVZ3O4wVEvwXXzjGZDnN8laLettmq9Lh3Wu7tDoux6ZyjBR0fD/q8PvBtV2qrUghcHY8w0ghycxYBkkUyKZUErrM9bU66YTKE8dK+EESeb3JqbkCW5Uoxi+J8N61Xcq5BBPd2FkYhixvtbi6UkeSBE7NFo5UvUjqCrm0yqWlGpoqc2a+MBDz0zUJ0/ZQFYm58Sy+P8ifDO3DEEPcP6zvtKm3o1j47C34ssMQhiErWy3apksurXF8Js/N9SZBGDI7FsUmx0spTs4XeO2DTcIwUidP6hHfcXW1Rqvjcm6xxMLk3lw3bY9yLsFnnxjntQ+2cH2fT58bQ5Ulqg2LjulSb9kDKuiVpskbFzbZrBrkMhpPHx/hmRMjhKHBdrWDoshcXq4hiyId02Wz2mJlu4WqiEyPZJgdy7BbN0loMidmCrx+cYtWx8Yup/nMmXG26gaW43NiJk86oXTVWw1ubjSpNE1qTYvXL2xyfDo/EDNRZYntWodmxyGdVMmnNTJJhdcvbNNoW11+I8CyfZodmxeemEBXZdqGw6vnN7GdgLMLReb6YoLPnh6lY7lsVzt0LJ8ryw0kURxQFA+C6N10LJd8Rrtll+IhHn8cNvd6KGR1nj01yqWbVVRV4nNPHIx599uBmdEMohgpha5stTAsl2JWj+ea4/osb7YwLY/V7RaqLPHkiTJTIxneuLhFs20TBgJ//voKz5+O1Gk2KwaKLDI7njlQRBLFUKyuoqmMYUXr/+p2C0kSmB7NxHu0HhdZSGus7bRRZJGZsQyqIiOIAlMjad6+sosfhpyezbO63WK8lGRj12C3YfLKexs8faLE9bVm95weE8UkghApgwiCwPRomuXNZjeBXSSbjpRzbm40cT0fRRbxvJDNaocfvLNOEIY8d3qUdDKyoa4XsL7TYavaoWU4uF7A5EiKwI/2nTfWG8yOZdisGgdyFfwgZHmzGfOVn0QFmscZxazOWCnJVqVDoxN1vt6pGYwWk8yMZrAcj+WtFgCzYxlUWeL1i1ucv1Fhp2qQSqhMlJN0DJem6ZJLqcgKvPb+NqbtsTid4/nTY6xtt3jr8jb5tEomqXBlpUbH8qg3Dcr5BD/29BSiKDA1kuKNi738nTFGC4nY317dafOt15dRZZFSVmeslGKinMJxA3bqJgIhubQWNZ/pzsOEJrNZ6bBZ6UQqfU2LtuXS6thMjqb59JmxuBgK4JmTI1Gn87bFaDGFIEQcYimXOKDQvdPNJToqN+BBYHEqx/W1Bp4XMFFOHYj13glURWJhIsf6ThtJEj5y5ashPh7YrZts16LckhMzBd64uMXqdpvxUoofe3Ke1y/t0DZdFiazhKrI7/7ni/h+wM+8OM83X7nJS68uo8gS/+XPnWWinKLSMNE1mZNTOf6XP/6AnZrJ3HiGiWKK/8+fXaJjujxzsszPvDjPf/ruNQC+/uMLyJLE25d3SOgyP/P5Wf7s1RVurjcZySc5OZ3n5XfWaHYcZsYynJwtsNzNDZoopw6oUvTf06nZAvWWxXbNpJxP8MLZcZa3otyokUKSIAh46dWlQ/MXADYrHapNi4QmM5pL8Gc/WmKrajA/meXTZ2+vgtfDSD7Bt15b5uZ6k9FigidvoWK3H9mUytRomp2agabIA+ooAJbj8aP3N+hYHscm85yaH+Rr+vPF5iayd138PcT9wdxEFt9vYLseo4XkA1GDfdTQn2eiKo9nnkk2qyEKIY2uut1I7vF8b58+U+YH7+0AoMrw9S+eeMhXdPc4NVfgf/3OVWoti/mJHH/9Z8487Et6aHhoRRxf+9rXWF5e5p/9s3/G7/7u7wLwt//230aSJP7O3/k7fPnLX35Yl/ZI4vJyLZbgvWzWeObkCCdn9xZpw3K5ttaAENq4hHTJYisii9tmDVEAw/RI6UpXxU+gbbokVJH1nQ6qLJFQJVa32yRUhc1ah7FCCrm76NebNs22w431JtmUylgxyZn5Ehu70cbKdn3qbRtRFAiBtK6wUenw/tUKCV2mmNWZPp5lY7dNs21TaVjRtRkNkrpMqi9BNQgC/uLNVRwnkof8izdW+cWfPAnAhZsVLt6sUW1aXLhZJZdSCYlkVV98ahLXC1BkMZaGbJsNtqsG71+rAJHspKbJPHdqlIXJHH/08nXqLZuNisGFmx6fPTdB23BJ6DKz41lm+5yl96/t4nYlGhcmczx7cgRBENipmaxtt7v3495SDnqj0mGrYsSf1VTpSGmpdFLlq5+bv/0AGeK+opDV71tC4t3AtL14HoNLEIQ8cYhMlOsFXOmT/XW94IA86vJWi916JGW8XTMQEOiYDo2OgxeEpHSZsWKSfEan0rDYrds8ebwcBy2nx9KoskyrY/OD99ZRFZmO6fIfv3udX/7aGS4v1+Lz/4v/9AGNjoXvh7xxcRs/CDk+VWBhKockChSzOjfXm0A05q+s1EhqMktbLba6RWRJXaHRtskkFY7PRLbt+lqDZseJvrfi8NSJEf7T967FEs61JYtPnVbxvYCZsQyZpIokiLQMN5bz26mZgMBObW/OwUGp76sr9Viu8MqKy9Mnylxfa9Bod89vOjx5vHygu8BRUGSRU3PFgd8t3GNy02H2/fh0/p6ONcSDw79/6TK1lo2qypi2z7/908v80l861ZVQDLm21qCcT5BPa1xervH0icPlfcdLqQ8dRP+LN1axu+tny3D5hS8djzvVvHFxi+trDSBaD3NplfmJHKfnB8frH33/OitbLTwv4PJyjS89N00xl0AQBsfyt99cjefVd95a43/zxWNxkcV71yqxrfrgWoXjM3mmRtLYjs/CZJaX31kjDKHWspBFkSePlyMp5oxOQpXZqhi0DYc3uwHhasNCFAVefGrywD3/4L013rmyC2HIlZUa1abNk4tlLlk1njxejm3Wds1gajRDIaPxrVeXSScVFFnie2+vszi151f1z39BgCePl/ndP7lAtRn5Ln/0gxtMjmTIpo/e0FVbNguTufh5HZvOPTApSVEU7tou3I+xNsS9Y3osg+36XFqqkUlGgbXvvr1OSlcQRZGW6VLK6oiiQLVpUalH65nleFgVt1vk6yFJUXeIIAypNAy++YMlkgmVtuGwsdsmk9JodByurzdptK14nf/uWyt8/YvH7+naP8z6eCt85601Wt11/7tvrfJXfuL4fTnunSKVUA71u4YY4kHB9wMuLe351LbrH5CI1VUZLwhY3WmzsdPBcjxs1ycMQzw3wPVCRMAHPL/7pRA6psfKZovnTo9RzKUIwpCdukmxm2QBkZ+c0hVSuoLt+HzzRzcxzCh+8Mr7m5SyiYeyJxri8UApl3jsJLIfBnp78qQuD0jQD/HR4v/w06d59fwmK1ttfus/vsff/2vPP+xLGmKIu0aPG+hYLpu7HRancgiCwHa1w0Q5RSmfwPECtmoGzY5DEEKz46DKMj98f4NSTmdmLMto0adjuKxutxBFEVmyGSnonJot0Gg7vHExmiuaKlOpW7jeFf7yT5xgp2Zyba3OlZV6lEwkClxdq6OqIp86M47tevzw3S1s10eSBDYqHT5zdhxJFJgZy9A2XUzLY6IUJU5sVgwWp3I8ebzM3ESWizer7DZMtmsmjhdgWh66KlHI6mzXTN67uhvH+h036BZrHOyQZ9kejY4T73U3KgaeH9A2XGzHY3m7zUKvOUoIpjPInzx7cmQgQXWIIYa4N1QaJqt9fJkii3eV7L9R6bDZz6F17UU/RFEgn9J4YjH6veX4nL9e4btvr2E5PpIkslM3Wd5s0cw4XZ4gOt6ZhSI/9+OLB47nByGG5bG82SKhyfhByLdeXY4aytVMGm2XTCKKBX7qzBgd08XxfN67tksupXJ5uY7teEiSiEB0vF4hytpOlDjueSGKLNE2Pf74hzd4/vQYE6UUbdPFsFySusKnz46jazLvXN6hbXpcvFnjzYvbsT/50qtLHJ/O07E8tqsG2bTKeDHF91b3OKNaq4kkiSiSSMdyCcINvvT8DN97e51KI3oWL7+zRimnx4lGuirzU5+Z45uv3CSomVQaJj9416SUT5Dtfmaj0mGruvdudFUeFit/jJFJqgfmXj/OLZYOcJM9HGUH1rZbbPeNoYQmk0trXF9v0Gw7LG+1cFyf8VKa3brF0ydG+NrnF/mDv7iC5wVsVgxeem2J+YkcYTTc8YNggI/rnbvWstmpRU3kPD9AlgQ8P0oM9f2QRtseOPdO3SSX1liYyKEqkSKy7QZsVA1KOZ1622Zlq01SV7m2Vmdj18BxfZqdiMNzvQBdk0jpCoIk8typvSRQVRGZn9jjVSQxaip4bbWOYXuIgkAYhrx6YRPH9hEEge++tcZEMU2r4yAIAi3D5rXzW6iyRDmfYLtqMF6K+JYdx6TesuMchuiZS0yUU6xutwZsYO+ZD/H4YG48S6vj0Ow4rHSbUHp+0G2iaOJ13/slq0YInL9e4Y1L29iOT0KTuL4e8ZOu67Ox22F1u4UfhuiyxI31JpuVFptVg5SusLbdYadu0bE8PC9gdcfg3/3pJU7PFyhlE2xUjLiJ2GYl2ovMjkfFVjfW6uzULVRFxPNDPvPEBGe7zdA6pssH1yvxPeXTGmPFJLWWxfJmi6WNJhu7HSpNi3RCYayY5MR0fmDeQG+tmgVgabM5kHOjq1I8tjumy431Rvw3OJgb8CCQ6Dae/bAYKSQObYI7xBB3AsNyub6+l1tyc72BLEnxfPrRhS3yaZ1MUsWyff7dn13EsCNy4Q/+/AqW44EQ7Yv/+R+8y//4978UNxv+1mtL+H5IMavTMlx+6w/fo+t+8q3XVnj+9Ci/8OUory8MQwQBnj8TrYfnb9QgFOLr+JMf3Ii/W21EPGjP322vODxzciRuttYx3Ti/oU00p7/43MzAfffnOvzH71w9Mn+h0bZZ3oyK39qGy6sfbLBTNxFFgeXNFm9e2uL50+N39KzfvLTF8mYLURTYrVt8/711fuozc3f0XYCpkfSRDe1+9P4GK1uRL1VtbFLMaYx07a/r+VxersW+kOfXY3s7xEcLTZHixqSfJDzueSZbW1vUWm78807DeYhXc+947fxu/G/Hg2/84DpfffHeG3k+DPz7ly7TMlxkKcpX/7Mf3eQvvTD/sC/roeChRqR/9Vd/lZdeeol/9I/+EX/v7/09fuM3foNvfvOb/M2/+Tcf5mU9cgiCMC7gAPD8gKC3GndhO3438Xvv514CZ+8Yjc6g0dmpm4Qh+AH4QYjn+/hB0CWEbAghCKPz1hsRSeL7AWEY4nYzRGzXjxOfAQhhu7tZ8nw/KiZxXIIwjJy93rW5e9fWO04/PC+ICzh633H6Ag9AfDzHDwhDMOwjjh9CrUvy9NDq7P3c7l6/7wcEQd+9dY/fgx+EcfCjd417CTeDn7WcwfsZuFfn1vc+xCcXjrtvHh8xNlzPj8ceHBxT+3/neQGuF2B2N1+eH+D5IYblx2O6N588P8B2fRwn+r3peHj+3rk6pjMw9gFMe8+2hECj7eAGka2wDpnvhunh+gGE0TwLw+i8ECWcH3YPYQiu68fzFYhJkP77gmjj1Y+WMfjzoc/LHbSXrhcMzOMwZGD+f5Q4zL4P8ehhuxsE76HetONx5QdhPK7gwdp9zwsGxojj+HEAFxiYQ0CcML0fvQIqPwgJQ2hbe2tsP/p9AM8LsPrO1ftbEIaDfoDr07G8PZLFD7FcL75Ot/t8LMcbsAkQdSw/DI1W9PsQCAIwuud2vQDH3bOZnhfgugGG5RKE0WcPew797ygMoySRTt+1+H5Ic59t2Y/9vsBwvR9iP2ota+Bn0/II2BurftBdk9xovfaCoOu7R/PS8aJCDrpjOQzB9sPYB/d7fqrjYdrugC04ai7dCR7U+mhYg3PMsr1bfHqIIR5/uH5wW5/eDyKf1HV8giAgCLr2wQ/xw8gWHDUDHT+gY7px7MCyPRwv8tHh4B62V5wFRATPPp9hiCGGuHtUu81LhgUvDxeqIvF3f+lZRCEqQv/hexsP+5KGGOKu0M8NOG4QxRji9dzHcaN9gml7BGEYx7g9L8QNIr/BcnzCoOsPuHvxQD8I6Fhe7OPbTvTdsHuOtunG+2XHjeL10fmj62qbXhS3dyK+wg8CwmBv/7/HBwz6Hfa+uD/sxQJcdzB2YjnewJ7D3Rf36IfjBQdiaL17c/3o2nx/7/j7+ZOHFfsbYoiPGw7ExO4ynn2nHNr+z1WbVtcGRj+bltdVozjaBt3qnD2u0Q/CbszRx/V8DMuLP+91eQ7L8fD8AKdnYxwfzw/ieI7jRgVlQRjG+0DD6rNv4eB9dvbtx5p9nKbjRhyOG8dSu9xpZ+87pu3Fv4e9WGnb7ONyumvHfnQsb+Aznb4Y0p08yyGGgEPmVM/X2Def93yQ7pzygpgzDIIQz48UxAc4DmOPW+g/xv6fe3x/7Jd0ucSeXxVfU+/3XT/C8318P8S0oznv+5Ev5vthnKtQbdpRTKZ7WR1zj0+BSHG4H/t5jnYff9GzIb4fYNt+196EeH6I5bpYdvQ3y/ajWGzXzjT3HbNjDf7cn5fRj+G8fTxhu3787iOfPxqj3j4/udl2sJ2IEwvDaA5F/n+0LvlBgOcHhAH4YWTnewVXEM0ft5tHAOCHIV4QUq1b3T3G4Pn8IMS0vO6eI/pb7zO15t48OCo3qDceHS9a24IgiDnFtnHr2OSt/IUD5xuO+yE+QdifW1LblzszwAMAHXtvfliOP5AbZOzz/Xp8fA/1vmMHQTiQl2faXrxOwsGcvfr+n/uO1ePm43u6TX7hftwqf2G/Pajvu6da89b8/60+22zfv0Twfp8cBn2JXhyoh6GNG2KIu8NrV5sHfvfu8tZDuJIPB7+PYwY4f7NyxCcfXexfG3oNPT6JeOhthcbHx/nFX/xFfvVXf5Vf+qVfYmpq6q6PYds2f+tv/S1++qd/mq9//ev8yq/8CqurqwBUKhV+5Vd+ha985Sv83M/9HK+//vr9voX7AsNyqTatQ4kCURQo5/cI30JWOyD3l0mpaOqePNb+6uxsWuXUbJ6eYrEgRlX7miqhKhLZlEoqoaArMildQkDAsh0qdYsQOD2fJwxDqk2LIAzIpqIq9oQmMVpMdJPDPEQRpkfThEEYdfMSIJ/VkESBsW4V3mghyUh+T85QU6UDUuWqKjM1kqLetml0HDJJhbXtqAuAKAoEYUgpq6MpItmkgqqIzI1n4mvSFClOTkloMqfnCqjdKl1BgGNT0f3UWlYsrZjUZbIpjWRCRgA8Pxxw/iRRoJjb6yhTzOlxZ65iVscPQ1qGg+cHlHM6juPz7tUdLi3XBu6tnE/E70GSBIoZHd8PqDWtYaLMJxzphEKiT1az18nC8QJurDe4slzl+loDx/XJ9MmwHdaJYaSQwHY9mh2727HXJZdWcFwfSRBIJWSmR9NkUioI0bwVBYGEKjMzliGdjKrcy7kkY/kEbdPBtDxOzRUH5qxpu8xNZAkBQRBQZSmS9nUDqk0LRRZJaAqyKNAyHGzXY2EqS0KTo/Gf1XFcD88LabYtJHEvuDNS3LuvVEIhqSsD3StKOZ2pkQzlvB4lvoZRQGpiJIUoCtiOR8dymRpJD8gHphIytS6hs/es986VTiroqhw/fzjYObVnP/YXjPRjz67f2aapZTjUmtZAMh8cbt+HePTw5U/NIHfVLkQBnjk9giJF3ZpkSSSTUsl259VId00PgpBa06LZcditG1xfa9DqROOgbTi0TZda06JjOlxfa7BTM+Jxst8h70GWRWbG9jo2jBaStC0vXs+OT+exHS9OHp87QiHm3GIpCuQSkk7IjBUSIEBCj+aP7XhUmxbTo33nKu51ZYOoq03UicpGkUVSCTnq/BYErGw10ZToeSV1hYlSmoQmoypSdN8tm9FCkunRFAmtO/6FSM3iMDxxrIQgREFjTRFjydFyPkFCk2OblU1r5DMqI7kE+bSK0pVhnhpNc32tQduMnm86sXcfia5a2Kn5Aqbl0TYdChkNTRFvmWR+2Ho/xBD9ODlTJKVH634QhsxPZjBMl44ZdauyXQ8vCJFFyKVUEpqMIIAmS0BIKashEBFyIiGiAJOlZKRMJQmkEgphGDJWTDE7niabVnFcH8NyKOcSGNa9FUnsXx/DIOT6WuMAOXm3WOyzR+V84sD+YIghPm7QFGlA0ekwH0+RJbJJGS+MCFRVEUgnFBRJRBYFZAkEov/6EQIJVUKSBNqGzXbVYLduIQlR8P/GeoPlzRY7DSPew/Y62ELUbXNs6HMOMcSHxm63y3EpN/QDHzZOzRX5Kz8RqZD9T//+7bgD9RBDPA4QRYGEHqnlhmGILAlRArHrRx11vWjvnkzIGKaLIAqoStRhOa3LcbflIAxRFQnDdggJCUIfXZUoZjRUWcL1fFK6jK5JiKKArkicnM0zOZICIYqnZdIqSU1ClgR0TebcQpHRYpKkLpNLR/yCLIuUcwnaphv79Lm0hiCErG63WNtpk00ptLvxjUxKQZFFsmkNQYh4DFkSyWci/qGcS1DIaCCAKAgUs1r8tx56MZWO6USFJF1eYKSQiGN+0XNQUbsxwpH8Qf6kP/4GUYzy5kaD1a3Wg3m5QwzxMUUxqyNJ0S5FEBjgN+8EB2Jqhyg9mHbEfazttrFdH1kWObtYpNjlDQUBZscylHKR6nrbdDBtD9v1kKX9OyjQFJHtWqQKrMgiuZSKKAhkEiqSICAKAqoS7bFKeZ1UQkaRI8UNzw9QJJFMUqGQ1kGI/D9VltBVie2qge8HjBV1FFlEEqPvzI6nCcOArUoHUQxJ60ocK16YzMXPUJIETi+UqbUsOpbD1GiaQkYjm1QQRYFcWkUUBc4sRCrDYRgyUkiS1Pds2mI3pppJqqxuN6k1TXIZjcIh8cpjfZ3Kc2l1gM/tfzeyJEb2mSh5pNa0PlTTkCE+WlQaJtfXGhjWg3lnhSPsQDmfiIMYsrw3hnprcjatASGe5wMhbcNieb2B6+/xbCdm8iS7MVXHi4qqegoxhuXQ7NiYduSHiKLAeCmF4/qIUlSgkUkqdCyXWsvCcryYi+x18He9AMP2CAIf3w9iHyKpKxQyGl4QMjOgLhRyeq6IqojduC2cmi30NZ6L+JR2d34EYUAhk8APAnJpDVWRGMknSOoKUyMpZElEkUVKOZ1sSmeiHHG52bRGQpOQRQHH9Tm3EJ0zesgM2A0/CJAkAdv1o2fbfeaKLA74Ubfjm4Z4NOB6PqoiocmRn57UZVQlepeSJMQ8dCGrMVpIIMt78UNNlchlVCRRIPRDZFEknVAIQh+x6+M/faKIYUfFiAldIqGKZBIyCKDJIoWMSkqXaBku+YxK23TpWC7FrMbKVpOduoEiCYhi1LAylVTRVYn5iSzVpoXnB2T3c93dtaWQ1ZFlkVxapZDVSOoKmhrtN45N5wiCgKWNJiuH+OMj+X1ju09h5sD5PuI4p2F5XF9rDGMPHwO0Dee+8F8fJfbnljx5bASI/OeQkCePl2l2bDYrHQQBzszl8byo2GtqJEE+o3YbSQWcmskPjOenTpQJg6g4TBQFPnN2PC4Wy6RUzi2U2ambbNcMxktJdF2mbUR++BMLZURRwLQ9/CDg+TOjNDsOm5UOfuhzrk9JIrUvbyqbUpGlKN/IcjxG8kkabZvra404X6eXm+P5AYuTOXbrJlvVDuWcPuBn5zNR7KGXu/TcmTHEPlvyxLFSHK/oNbmut2zqLTuONfTwxLFSnGsgCnDuEAWzo3KAbodjk/n438mEEsVmukhocpzPBcP8occNjutTbVrDZoYPET/3+RMHfvfU7Nghn3y0US4M7uf/6ldOP6QruXd89smJWExAkuDHn737uoGPC+Tbf+TBwXEc/uAP/oBXX32Ver3Or//6rzM/P89LL73EqVOnmJmZuf1BuvilX/olvvCFLyAIAr/3e7/Hr//6r/Mv/sW/4J/8k3/CM888w2//9m/z7rvv8nf/7t/lz/7sz5Dlh3rrA6g0TK6tRXJmqiJybrEcL/Q9LE7lKOV0wjAKmu2HLImcWyxFMumKRDoRLdj5tEYQhOTSGqIo8LOfX2CzYrDbNGm0baZHM6QSMl96fopa04nkvrZaXO06O2PFAFmOHKmlzSaNtoMsCpRyGrIs0eq4NDsOsiwhCLC20446XAgwM55hopwkl9HJp1QWp/OMFpJxECSpy9iu33W4DtYTBWGIAOzWOtSbJstbLSp1k8WpPKIILzwxwc98foGtikExp5FNaqzvduIKVF2TmR3LkE2pSJLI1z4/z3bNpJDRKGR1Li/XqLdsUrrCydkCI4UExYxO03RY3253N4QCZxeKcfL2sakc5VwvmDP4HvrDvr7v82///EocNHrieJmffXEBiBzMJ46VMW2PdEJBkkTO36jE0u2z45nHWnZqiHuHJImcXSjS7Dgo3XnseQF/+spN1nfa3FhvRoULo2m+/KkZxktJJEm8ZZLjxZvVbqW5gKIIlLrE58JUlqeOl7Ecn6eOlxEEId7gzIxm8PwoSKkpEptVA9P1UeQokCgIAidnCyxvNvnuW1VOzhbRFIlcWuFzT07w3rUqLcPhrcttvCCg0jAHAoAzY5m4UEqRRTZrBtWmyW4jRDm/xdqOwU9/dpbJcppMMtokZrs27MefmWJ6NE2zY3NyOo/h+GzXDUYLCeptm3xaZXO3gyyJOH6Arkgsb7Y4PV/AtH2abYfNisFmxSChyZxdKCJJItOjGbIpDd8PYns5UU6RSSq43fNL4t4sv7JSj7sDjBaTzE9kB557rWVxZaUOYbTZO7dYikniw7C+0447naQSCmfmi4jd8x1l34d4tPDk8RH+H//l87xxYZdcWiafSbK63SaVkJkop3nyeAnL8REFgVxaIwxDLi5VaRsum5UOqztt0gmFVsfuzs2o20wqofDOlV0yiYhYGC+lmBpJHxgn/fjiczMsbTQxLJeW4XB1pY4oRutZP8Lw6A6TJ2cL1FoWpuUyN5bl2GyeRtthq2KwutVmu24wWUqR1BWeOzVCMqEw25VS7UeP1AsJEBBY225xdbVOQouSNL78/BRjpTTZlEbLtFnbiaS9JdFiZizNaLHEz7y4yGalQzalUO4jDftRyiV4/sw4O9UOpVyCswsl0kkl9jlOzhZotG1EUUCRRSzH58kTI1xfq1Opm6zvGrz89hot0+XpE2VUWWK0kCCX1iI/oltQW8homG7U+eraWgNJFDk5WzhUfnz/en8rGzDEJxPZtMovf+0c717dptlxefvKNobl0rF8JCHAdSPCMpfWOT6To9lxGC9Ga78khrx/vYpp+ziOjyQJPHdylJ98YRbL8rm6WkMURGRZ4MRMkcWpLO9eqfDOlW22awYr223++PvX+dnPz5PU765Yon99DMOQP/nhTTwvQBCigraJARLzzvHCExNMjaRx/YCZ0Qyi+ND7DQwxxAOFIAicnCnQ6Nixf7AflYbJt99cp9n2kESRYk6jmE3geQGNto2uitzcaCOKIboqY1guluNjuVF3xvev7eKHIb4X+eRrOy2ePTnK5ZUajuMTEnJmvsypuQJn5gvMjmcwLJepciqWFx9iiCHuHb0ijvJQieORwF/76mneurzD9bUG//2/fZN/9F+/OLDPH2KIRxXrO20M02WzauC6PpIkUmlaTJSSrO906JgubdPhz19bwe8qdz1/ZoQvPDPD0kYDzwfLcbm+3qBSt1jebJJKKlECV5f039ht4/kBY6UUI3kdTZP51NkxnjkREZiNtkOr4/DcSZWnjpXJJGUmyhmOTeeBaP97bCZPs+3guj4bVQNZElnZapNJRgmU11YbXF1tRMkSHYfZ8QxJXSGpy5xdKNGx3DhG2b+HTiUUPvvkBJW6iSiJlHM6iry3v766WuOV9zept2xcL+D5kyMkkyqn5wqku40mejG/1GmFtukeyZ8Iwp5NCIKAP39jme1qZMuPz+T57BMTD/ZlDzHExwQJTebJY2XapktSk9G1u9tbZJIqTx4rY9geqYQy0KAJIiXuP39jhSvLdYIgoFlO8fUvLJLPJPhrXz3DleUaIVFCs65JnL9eRRIEbm40mBpJc3m5ztxENm7wtrTZ5K3LO9SaFoosMTmSYnmrxdp2G1EUGBtJkkurFPM6phXFYS4t1xktJNltmMiySK1lc2ImRyGbRAhDGoaDKkv86IMNOqaLJAqs73b4ieemuLRUZ6yYRJEFlrfaaIqE7fmokoTV7Tg8UU7xtRcXqDQs0imFl99eRxJFHDdgdjTD6S6PdG6xDELEt+qqzOJOmyvLNXRVwutyMidmCowVk7z87hqvX9hkt26hqw5PHBs5NLb89IkRRgsJLMdnajSD3MdX59LagXhnEIR9PFTUMGxy5N5iQ0N8NFjaaPLyO2uEIaiqxNc+Nx+vmfcLR9mBQkbnicWIK8kklXhN7/GByY0mCVVip2FSa9l896016m2btC5TyCX42osLzIxl8IOQ3XqHb7+5husGXF6ucXqhGDXCc3zCMOSZkyM8daLM+k6H9d02thOgygJ+GLDSneMfXKvw1RcXBs59ZaVGx/KQBBBFiXOLRVRFYmYsg+MF/Oj9DdqWRxiGZJIKTx0vc+5YiXRCYXmzRaNjk0qouL6P6bi8cWkbAQFBgJ94bpogjBJNBUHg+dOjKLJIGEZxop/89CyXV2p4ns+puQKyJJPPaHFDsDAMqDZtNEViopymlEvQMhx0VSKpK5TziSj2u9lic9dgu2pydqF46DNf322zunU4LznEowPH9Xn/egXPCxAlgU+fGaOQ0xGB6+tNfD/A9ULmJ9J0zKg53LGpPMdnCgRewHa9w/quESUfCyGO6zOST5BOKBQyOouTWd6+XEOVRDYqbfJpjWPTeeYn8uRSMg3To5TT+fZb60yNpPGDAFEQIYRXz29iWF6UKF3rEARREeOxySxf+ewsa7sdCKNGNmcXSzHXrSkSqa4vrikSTx4rMT+RxXH9rvqOTzmnk8/o/MXrK6ztRON0djzDF56djp9NIXu4PYFBbr3/fB8F2obDf/7hzagzvgCff2qShSMa6g3xaKPesvjGK0v3hf/6KLF//AsCbNWy1JsWubSK6/isbLfwvBDH8Xnm5Bht08X1Q549WcYLAt48v4OmSrzw5CR//P3r8Xh+5sQIz50Zo9KwmCilWOgW/1qOx7HJHJuVNhu70ZzVVSlubAkhmioxN56h0rDIJBVCIv7D8XwQQko5nfFyCs/by9cZQN9+vdo0efPSNr4fRvzoqVEaHSe2OZtVg1rLIiRks9KOczJgf8GDwPGpHDOjZ9jYNZgbj9b68zeqQNToUVOkOC+omNM53o2DAIyX0vyffvYsS5stJspJxkuD42N1u8X6TgeIGsmenrvztfbUfIFiTqNluEyOpND7+BpRFDg9V6TRtpFlcaAB8BCPNizb44MbFXw/RBCixkPDpoYPH/JjmsbTX+wmCcRNhx8nHJ/Oc3quQK1lM11OUvwEc2kPjZWvVqv8jb/xN7hy5QrlcplKpUKnEy1e3/rWt3j55Zf5jd/4jTs6lqZpfPGLX4x/fvrpp/lX/+pfAfCNb3yDb33rWwA89dRTlEol3njjDV544YV7uu4wDDGM+yvdsrJZx+5KXNo2bO7UD+3S12umYJpHV2zrMhAGGF0HRBEBESwr+o4qga6EhJ6H7UVFA6IuUEjLFNIy3/yRgUi0uXDdSMLTNF2+/cYyhuURxepCVjcb5LMahLBbaxP4Aabj4To+tYZB4AcEvo8iCchCSFITabYMpkpa/PyE7vU6tsX+Ph+O47G80SCpRV2uXT/EdjwM26fZMUnpCp5rk08mySd7jlBAtdGOpeFsG8SxBLYdBT1FYLygAAH1Rout3T15JEGAsXwW8Ol0TBxn74rWtupM9VW19oqW+9/D+k4H13FQJfA9l/eubLG+vdcR4INrO3zpmcGqPV0Gz7Wp1h3qjU78+9VNj2xiGCT5pEKSRAp9naV2G2Zc2e13JQjHSylurDdvSRzu1ExEQaBjedjdwH/L9Dk+k0RTJURBpG24jBb3EqL7O1rJsoiuyex0u0+NFaM5cH2tzrOnRhFFgXo3IRpgbiLH7HiGhK4hSxJ+4CCJIhs7BglVAcJYwWenZjJWSqIpEu2OS0KVqTYsdFWm3rJJqDKNtkMhqx+64egPdGzWGrieTzqp0jJdTCuSM292HCbLKQRBwPUCWobLaCHJ+s6eJKxpe92uIdF1HeYcHxa4dlx/QN5xp2YcKOLYqZmxLXK9gHrLHnjW+9Er+IJI3tHsElQ9yJJ4aMexIR4tLE4VmZ8o8PqFPam9junFxYoJbe+dmrYXBws2KlFChiZLtE2PnbrdlQzufc5BU0Q6psvmboepkTQd08XokmWHYW4iy9JGMy5sDIKQSsPi6modTZXRuhv9pfUGTx4fOfD97ZrBeLFv7ZMlWp1obWybDh3Dxc766KqMqsjMTxwMQF5fa0QdxFMaW1WDtumyUTEwbZ+EFiWAt0yfZ7oBr9262f1bdG3XVuucXSiR1GUWp24d4Kw0LDIJhcxUHgCv28WqB1EUBmxrrzjz6ROj/MkPbgDR3G4bDtWGxXgpRcfymO+zNzfWmpTyESnS7Di0DZdsSqPSsA5NvIVo45S4S6J6iE8WsmmV8VIaVbFY224jCFEXRz8IQYSO5VPIirQ6kezwSCFFUpdZ2mxgWlHQVJJEHC9gpJCi2Xa7AcQ9XzKVUDBtH0UWY1tkWB4JTWZps8WZ+dKR13cUeuvjW5e2YwWtMIRrq40PFcSePqQYbIghPs4QReHQzqc9XFmpU2tZyFI0f2tNm6lyBkGL1Poc16eQ1WPCX1VkPC9gq2ZgOz5CtzujJEYFzo2Ww4UbFbwAbDdAEgV26ybnFkvsNqwDPu0QQwzx4VCpR136SvnhXu5RgCJL/Dd//Xn+3v/wHd69ussf/MUVfvEnTz7syxpiiNtiq2p0C6ij9VsBJC9AU2SurdUZL6ZY2mhhOT4pPerKvlOzmBmLkiMArqwa2G5ApWkhiCJBCH4YUm3aZJIajhdQb1ksdvfUI4UkCxP5+BpahjMQozuzUBz4OZNUySSjbu3Lm01S3T13LxZhux61lh03rlrabJLPRJ12DcvD8fxbxr10VWZq9PC9wrXVqDlWx3IhhGrLRu928O2hP+ZX3JcMftR+vmW4cQEHwI31xrCIY4gh7gKqIh2Yb3cD/RbFHzt1k83dDmEYIggCpuWxU7PIZxKkEgrPnBqNP7tZ6eD5UZxVEsWuSpDGds2Iizg2dzu0DTdO/tyqGmiKTKPjIIoCYQilfIKQKMbS7DgkdYWVrWZk18LIzwgRURURVZHww4gX2KqapBMKrh9idGxEUWSsmCSbUlneauF6Afm0RqvjsLTdYqyQiu9xZixDLq1xY72B0adutLTZ5Inj5UPt5kg+wVq3WZQqdrnP7n1eXqrHhWxBCCvbzQM8RA+3iu3sj3cathcXcEAUVx4WcTzauLZWp9dI2nF8ljZbnFu8+/jg7XCUHYiKOA+Ou0xSxXED0kmV9UqHju2zWTEQRYFAF6i3bMpdhWBJFDBtP8pl6OKNC1uxDyIIArt1iyePj/D+1QqqLMVZMZeW6iS7Y9iwPdZ3WhyfKWC7EdfYaDsEYUgQgCQFqLKIpsjMjGWjruUIWK6HIAhIksjkSBrHDZiYSROEIGxHcVlFkvjgWgWhG6cNQ7i8VOPkXNRsSxQERFEgvy8u9MK5g/6GKAooioQqy4wXo2uPupynBmyB1i2s6jXP7PliM2OZA898p8/PuR3fNMTDQ61lx/H3pKaAEDWKWNlqEQTROpjUZUzbpd6OOLx0UgUhKlb2w5DlrQ5BCEEIlu2jyhK5jE42rbHbtONCq3bHI5/S0NVoHDxxvEzH9LiyWoewW9htOCxO5fC8gJWtNglNxrJ9ak2H0UKk0NexPGwn3MvZcX2aHZtSLnHo2qXIEsXsQVthOV5cwAGwvNnC84KB4sKj7Ak8PG59ZbsVJbwDhBHXOSzieDxxY715X/mvjxL9439lq4WuSHEj4XevVVAkCUUCy/V579ouc+PRGN2qmEiiwJmuKsY7V3b2VG5CeO/qLsem8+TT0bGvr+09E7vbALFXbLC00eoqRkQ+7PX1Oildja/j1Q82UBUp8p19uHCzyuefPrwDe7Pj4HlBHId47+ouvh8ZGd8Pee/qLrPjEbdhuz4fXK/EtmFt12B9px3nKt1Yb5JOKPGxduomJ2cLcQHGe1d34/N2DJddx4z9i2rDwp8MB5rCFHOJI5OOt2t7a23bcLEc70ibdRhGCklGCof/bX/uwxCPB6pNKx67YRgVMg2LOD56/Oi95YGfPR9ubtWZH8s/nAu6R6xvd2IloRD4j9+5wt/8K888zEu6a1xdrVPOJ+Nmvkflr30S8NCyyn7zN3+TZrPJ7//+73Pq1CmeeOKJ+G8vvPACv/Vbv3XPx/7d3/1dvvSlL1Gr1QiCgGJxr/P01NQUGxsb93xs13W5cOHCPX//MGzWHBqdPRlQLI1t7cFVR7Utn7XdvSKFTkbGbkaOgm00aRo+vuvieQG20cZ3JZy2w259T8pJ8hSstojrhVRbUZJ4GIY0Wz4JVcB0QlKKgeOCY0jYbYlMUgJz846uMQgC6vU2nhdiWw6uHyIFIqYV0Gx4mG2BzbSB3xk83uamhetFC54oCujBDqJwsCAiCELWNu1YskyRBS4EkTNWbXvs1PcCjk5bobl766nS6Hhs1va+k06ItNrtOAiW0sUjx43jBaxs2fFGNp2QEKytQz87xCcPyYSCIBCTnL3/365jhKZKSN2O864XIBAF72RRiMmIfjLzKCQ0GUEgHsv93bp7G50e0l3CFqKNoY2PrklRUllvgHfPqylSJMOqda+le19aV5Jcu8POv5oqocoSpuAhilHAVJZFkro80D2v161LUyWMruoNAntSw3cBSRKRJCF2rg/rrr//2d7uWeuqjOtFdrn/fQ/x+EEUBVQl6ooG0Vw4rLur0pU9DoIQXVUwrKiTvgAkNAnHFQjCkISmIBCRjLIkxnNGEEC9zTg5bBzuD8If1WFLV6VYISqaKxKaKuF6AYosIvRVch81vnt2ShQEREFAV2VSuky1b24W+pIl0skoAN0zF3fTGefAvd4FSZzSZaoN+p6/fOgxkwkZp+UjSyKiKKAph39uiCHuFr0xpKkSpuN1110BEZCV3vooRskA3XmfScqIAoTdSaN0ibn0IR0qNUWKf6drMrRsJCmah5nEhwsMZZKD8/Sj7Gg1xBCfBOTSWqQw5+6RtZIkIAogitEaZtqRHyzLAoIQde9BEJAlET8MkYTIPkiCgCQLZNIajZaNJAgIgkBC765nQ8WoIYa47xgqcTx6mB7N8F//5Sf5p//+bX7vGxd56niZU3PF239xiCEeInRVxnI8xO5aHinudeODek9NQqXrAgCQTaoD8aukJiOLAposYtD1CwQx9t8lUSDRl0igyuJAvEtTpTgR6XZxq/0xPa2blNGvxJ3Q5PgYHzYOlkoo7NRMZFHA80N0TUaSBKQP2X0uoUoD8b+kNtzrDDHEowKtG6ek2xtNliVSycPnaG+fs8evSAO/h0jFojffRUEgqStIohh/J+pgLKApEo7rx79PJ1X8th3HMxVJjG1e75yaGsURe3/Xu39TFQldlQi7HKUoiXFS+f7r2x97Sd4i9rKfu+iPW2aSMpIoEgRBbPfvBw+hdmPFPQ6pFzMd4tFFxAnsNRd8lBL3NVXCMwMUSSSQA1RFJAhCRCHiLBJ9YzqdGOQTChktjp8AsV3YH68sZjUsey8vo8eR6KpMx3TRVAnL8ZHliO+RpYjnlMRILUwQQO5yCZo6yJHsj60Ucjq1vqZwxX1NPO8mFqMq4sD9HvXdA7HhI/gLTZWw3T3/7nZ80xAPB/oR3NcB/kpXaHScPfvfXWd0NeIRJDGKFUpdfksShGgdgpgrUBQxXicFAfIZDcPyUUQR148KmhRF7M6LqHBRlkQURYh9/d486V+n+6/7bqDKIqosRV36u/csPwbjdD/ncr+Vjob46PBx4b/2z79cSqXe3lubcum9Mapr8kB+XX5f04P9yebphBL7gIosktSVOAdP1+WBOEBqX/FCPqPRsfZyEG9VkHDgHjIaVmWvSer+5gyZlBKv9ZpyiP/Qf+xD8ilMO7ouQWTAR5dlkUPSPo6Erkq0u4VAYjd3a4hPNj5MTssQ9w+nZg42tHvcCjggsru+s7eveRx5jjvNX/sk4KFFUr797W/za7/2a5w7dw7f9wf+NjY2xubmnSX778c//+f/nKWlJf7hP/yHWJY1kMQLkZLGh4GiKBw/fvyuvrOy1abWjqrY5ycydEyPle02ggBzYxlOnpRY2e5gOT6lnBZ1StnpUGla6KrEwkT2jhbz965VuL7eJKnLfO7cGKbt8dqFHfwg5MljRWbHMtzcaOGqLgmng+uF5NIqL5wdZadu8tblChPjMtmOy+RYSL3lIIoiJ2dz/Nzn57m0XGNpo81WzWDHcJFtiTMLeSYnBc7frNM2PRpWk7oJIzmdH//UIq4XIEkirudDCKEsMjueQZVFbm60sFyfkbzORCl14H4CvcJLr62Sy2lMlVJoCZkPrlapdHyOT2f5wmfP8PaVXZY2W6R0hc8+Mcr8osjqdgfb9XC9kEASKBcScaeZfswtuKzvdhAEgZnRVNzVx3V9/uSVZXZqJhOlFJ9+ZuaONoTrOx2ahkM6oTA1kiJX2uH7724gSyI///l55iYOdgtb3mrjtm1mZwI0VSKhysyMpXG9gJubLXw/YLKcOlSZ5Sh4fsDNjRaG7VFIa8yMpdmodNipW2iKxMJEBtcLWNpsEYQwNZKikDm849gQB3G/i7huBcNyWd5oRo6cEHXvnB/PsDCVZ7yY4K1LW1y8WQNgrJTkx56aRFVlljab1JoWpu3z6bOjbFVNLt6sYjkeNzca/ORnZpkdz3BjvcGlpRrru5E8qq7JJFSJRtum1rYp55LMjmc4NV/gjfPbkXz2SJqrq5FM+fvXKqzttJAFkWRCxvcCJElgvJSkbbrk0ypPHCszPZJmq2pwebnK2m6bkXyShckc2ZSKKkuEhJRyiW5ne4e58Qx+EG1mmh2HpY0mISFz49l4A1ZtWqxstUCIpMWvrdZxXZ9UUmasmGSqnGK3YWHaHsWsHn9vfiKHIDRxXJ+xYpKkrtA2HF5+Z52O6bAwlee5vk5dh0ESBU7OFrod04mr+vsxPZohCMID5z8Ki9M5ljaaeH7AZDl9aGEIRJ0Drq82sF2P0WKSycek28MnAUEQ8IP3NtiqdEgmFGZG0oiSiB+EvHNlh2xKY34ii227/P63r1FrWaR0hWJWI5dWCcIA2/U5s1hibiKLabu8e7XCxm6b2YkM2ZTG7HiasWIKURSYKKdQFYmtqsEr72/gByHPnBgZUKwo5xNcXa1TaZiMFlKUcwmKGT1Sh2nbTI2kWZjMYVgO33t7PZp/E1k+dWb8wFxJaDLHpvMsbTRJJxW+/+4633tnjYyu8PNfPEalYcZkXTqpsjCZ48ljJUzbo1I3MWyXH7y7jiCE3a5PKiP5BH4Q8sH1CguTWUq5BJ89N87llToJTT6049R+bOy2efX8Fn4QMllKkklpkSxstcNOzWRuIks2pVJpmKxutxFFgYXJ3MBm4NlTo6zvtDG8gCeOjTA1Gs3BuX1z+/kzo3zzlSXCMCSXUnjv2g7FXIKnjg12Kau3bJa3ou4sm5UOpu0xUU7z2SfGER+ShOFu3WRtu40kCSxO5e6qy8cQDwarWy3euLjNylYTWRTZaRhkEgqW7aHnEyiSwFbNxPcDGh2H62tVfB9EUSSfUVEVmWJOo95ykWWJk3NFUgmFpCbzF2+u0jEdZkYzhCHs1A0kUWBuIhsVc+kKqioxN5H90MoXx2cKtAyX5a0WjuvjhwEbux0mygd9ewDD8nj5nVVaHYfp0QwvDDvZDjFEjK2qweZuB0WJkm5++O4Gu3WTluGwWzNI6Qo//twkV1aaNNs2ggitjhMpwBERFWOFBPWWRTYhYXkBRivqHilLAooicmIqx5MnylxeqlNt2eQzGi+cG2OsmGS8dLRq3KOIzUqHrYqBoogsTuUG5MQ/6diuGWzsdJDl6NkMVcEeHnpKHOX8sIjjUcJPfWaWty7v8L231/jN33uD//H//hOPLRE/xMcbvh9wfb3BleUq33lzFT8MObNQ5Mx8kWbbodo0Gckn2KqZ2E7IZDnFZlfpdXmrxf/tf/gLMgmF+Yk8T58sE4TQ6Njs1E1qTY/xUopsUsVyPOYms4iCwMWlKqtbLS4sVak0Tb7ywjwJLWrocHW1zsZum7FSinI+wcJkbiCmtjiV59lTo1i2S6MdKQqfniswUkggCAI/9swkb13aIQxDnjk50lXyDZgopQ5dx1+/sMkrH2yiSiI//dk55voUQPvXuicWigRBSDqpoKsS8xNZpkfTsXrw3cL1fK6tNbBsj5OzBbarJpIEnzk7fm8vcoghHgJWtlpUGia6JnNsKhcnZN4JwjBkabNFvRXxC6oiktQUFqdzt00w8fyA62sNDMulkNUPxNaAOEYniXceo9qsdPjRB5v4QcizJ0eYG8/y4hMT/PnrKzQMB1GElc0Wq1stNFVmejRNqVtE2zEdfvD+Oq2Ow8JklrnxDLomMzeeZX23zXbVQEAgCAKWN1vkMxpr2y1M20dTJcoFHcPyCIMoaW23YeJ4fuw7tA2HUkYnnVIZLyVJJxQ2Kga1lsnKVptG26baqJNPJ/jZH1tgvJyimEsgywIzYxk2Kh0c1+f4dB5BgO++uYofhLxwbpwrK7VuQrlMKaezstVivJjic08eHUvZz13MjEU80Ha1Q73pIEkCQSDw7KkRvvjMNBu7HWoti6SucGwqhyQdHbvs8U5JPeJAo3Fid5v+RInu+Yw2VHh8DPDEsTI3NxrUmzaLUznm7vGdnb9R4eKNKpoq8eJTk3fVDfowTgLg2HSO5c0Wp+YK+H5AKZ/gnSs7kbpYCP/P3/kR/8WPL9LsOLx1aRvT9pgZyzBWSvHCuQlefmeNm+sNilmdJ46VAXjyWBnb9anUTSZH0hybzvHHP7hBs+1wdr5ELq3xwfUKhuUShiFPHR/h4nIVQjg+lUOWRRwv6lS+MJHlc09OcnGpimH7WLbPxZtVfu7HF1nabFJtWKxut/CCgJvrTcIw4PpqC1GCUk6nnNNwvUhVtZxP4HoBf/zydWzH58xi8UjF5F58v1Iz6dgumaTKmfnCgL1fnMyyttOh3rJwPZ9UUqXdcbi+1uSlV5dQZZGZsWwcj12cyrG02cT1gphvul/o+bEd0yWf0ZkbzxzI2RnizpBLa8yOZ6g2LRLanjrdaCGJ7fhs7Hao1E1+8N46luORTap84ZlpEOC1C1s02w7HZwu0Ow71to0q22zXTDYqHaoti+mRFIYg4nkB46UUy9stWobNSD7BN3/osl03qTdtIGRxKk8pp3PhZpVyXucnPz3L2nabYlvj9FyB5Y02LTMqJHn57TVCokLJ6dEM33t7HcNymB3PktQVNnbaSLLIRDl1pK8iiiJffH6aty5tIwjw/OnRQV8jo8f2y3F9rq81sByPkUKSqQeoCLVdNdjYPRh3W9tps1Mz0FWZc4slNiodskmV506PPbBrGeLBosd/re+0KeUTPHmsTKNts7TZREBgdjxz2xyQRwHlfIJra3W2qwblfIJnTpb4F390gbbhcG6xxItPTvIfv3MV1w/58qemubRU5TtvrSGLIj/9uVmabY9K02R2NMMXnpuh2jTpmC65tIamiPzR929gWh5PHS/zlRdmeePiNgDPnRpFkkQ2Kx1UWWJqJMFv/eEHLG+2KOYS/FdfO80ffv8GtabNiZk8ZxcG18Ba02J5qxVx+xNZknqkRppOqHzuiXEu3KyxXTUYKSZ55kSZla02tutTzieYGUvzZ68u4fnwhWcmaXYcXv1gE0UW+dqLC7x3bZerqw3yGY1Ts4XY786lNeYnMiwLAo4X5Ug4rh/f0/OnR9mqGnu8xGTuSPVAiBpu/PC9dRwn4DNPjLO63eatyztIosAL58YJgpDtrt1YnMrdci1uGw43NpoEQcjsWOaA37W82YzXisWp/ECOqWV7XF9v4LoB4+XUofmTPYRhyM2NJo22TSqhsDh56z3Cw4Jle1xba0Tr123u6VFCKZfAdnxqLZt0UomVaR43PO78XD6fJ5UQ6JhRDnk+9XgW08xPZDh/sw5Etd5ffG72oV7PveDETJ5vvbpCpWWyOJV7LNXLwjBkebMVx1YWp3IDRYx3ioc2i9rtNpOTk4f+zfO8A4Udd4Lf/u3f5k//9E/5l//yX5JIJEgkoiBdtVqN1TjW19eZmLj3ZCFBEEgm79z4VxomDSNAFBUsF6otn92GDYJMCKzu2jx3epSzmb2NRL1lU2v7iKKC48Fu0+PYdP6W59msdLiy2gZEWkbAu9ejxA7LBRB460oNXdMxHOhYIR0rZLSQJJ/RqDR9Xr8UJYYpskq5pPOZs+Ps1vekvRxf4tnTU8xNmPwv/+l9wlDACwKur3eYn8iSTSe4sbmDafvkMzq2B/WOz5c/NYvnB7x1aZswhABYr0SLveOLiKJIpekzWpIHJNiDIOD6Roe5rmy7LIvIIhS6gdemEfDDD3bY2DUAkabh88GNFl/61AylQpaLS1WaXcnInYbHWPmglGIyCaPlg5P/rUvb+IFIMZfC9mBpx+LJbqDnVjg+tzcuXM8nmdD5qc8sRM8vEA+Mm0rDpNkdG6oKo6VkHNR+79ouQSghiBIbNYex8q0dtn7c3GhiuQKiqNAwAhItj0ozGk+uD9sND9PyCJBBiN7HWPneDMgQDxbX1ho0WjaW4zOST7I4mSOX0Tg5m+etyzusbrZY3mohS0KUKH51l8WpHFvdqvNUQmG0mKSUS3JttREHQFY2WyxM5LpFGG0qDYu1roSg7fgEYYDnR4Vcnh+SSkjMT2bZqZnsNkxkSeCDG9Vudz8Bw3EZK6fYrhm0DAdFFuNCiEJGi6vVO5aHafns1ExMy6OY09E1memRDPW2jSgJ5NIaLdPlwo0Knzk3wZWVWtw15MpKnedOjRKEIddW9+Sez9+oMNKVUA6DSHI5k9LIpA5umhVZ5Pg+e/ra+a3Y3p2/XomKQG4T3MkkVU7PH13FKnUTxe8UmiJxcvYILcQ+LG00aRmRbVvdapNNqp/oStRHCZeWa9xcbwJg2j7lXIKp0QSrW5HU727dJKnLvH5hi7WdNkEQsrrV5snjZbIplZSucm4hWgMmy2lev7CJIokoKQ3PC3n+9Nihm8/vv72G0e0G8cP31pkc2Ut+2K4aqLLERFf+syev/eJTg/7Xjz7YihNAL96sMVZMMTOWOTBXeuP0//e9a6zvRLLhu02Lb/7wJl94dobdusHiVA7HDaJg8kiazz4xQb1t8Y//5WvdIL1AtWHzf/7LT/Hu1V1s18d2fW6sNzm3WOL4TIHjM7efCz28/M563A30xkaTv/KFY7x/o9rt8hFwZaXGU8dHuL7WiG3GtdU6T5/Yk+Dbqhocm94758xYZsAn6WG3ZnF2vsTqdosrK3XGiyk8L+Cdq7sx8REEYbfQLeTySi1KZi+luL7WoJRNcGr+zu/tfsFxfa6vN6IOXW4k9/vk8dv7NUM8OARBwMvvrlNtWCxvtWkbDqlENG/nJnKcmivwynvraKpLqxOtxb0ydCEI2K1Z5LMauhrJH5+cy1PKJhgp6Hzr9RUySRUBgcvLNZ45OYrnhaxutzk9X+TpEyMD4/9+4NlTo6QSCvWWTeBHySKZlHpoF783L22xXY3szZWVOqPF5GO5GR9iiPsNw3JZ2oj8iGrT4v1ruzQ7DrWWzXbVIJfWyKRUfvDuFtOjaUKiJgKe5+P5IaIoUGvZ2E7A1Ggaw7LxLR9JFBDCSBErk1QZKaQIEViczvPZrv88M5Z57ALFhuWyvNkCoiLnmxtNTj+GHWYeBKLC/SaE3QLwtQbnFg9PAhniwaOnxHE3jTmGePAQBIG/9QtPc2m5xlbV4J/9h7f5b/+PnxomFQ3xyGF9t0OtafO9d9YxHJ+EKnN9rcmnz4yj5KIY37W1BkldwXRcVFViZjTD0laTtZ02rh/QNjwkSWKkoKNKIookxQkGbctjZavFF5+bwXY9ChmdWtPqdqsUeP38FqOFBFMjGUzLY6ti4Pkhlu3xyvsbTJVTvHp+M46pfXC9gq5JtDruXiJLV/kL4Mx86cjExP1otE3+4vUVgjBq4PvHP7jJ3/rfPg0cXOvWdg2+8Oz0fXvuS5utmFcAePGpicciMWeIIXpotG02dqPW147rsLzZui2/2I/dusV21cB0PFY2WxSyOiP5BEsbzdvGr9e229S7Hee3KgbphBIXU0TXExVJEcfo7ixG9b231+L43w/eXWeqnCKb1nj29Ggc83v/+i4pXWFxKs/1tQbZlIYii3zjlWVs20eVJTZ2DL70vMbUSIa24cRx281Kh926zex4lqXNJo22w8xYBsP2SCcVpkeihNmra3XmxqKme1dX64wVkxSz0f2dWSiiKRJvX9mBEDqmx/nrVVqGiyzLBIRsVQ1++rPzA0VmPV/dcX3+7NWlWM3otQtbEfea0ri2WiGdVHjmZMS53K5XYT93sVU12KmZnL9RpdqyGC+myKZUPn12HFEU2OoW/zmuzdpO+9CGVRDxmT3eyXFt1nfbJDWFpY0mfhAyN55BVQSOT+fvuYhuiI8O21WD+fEcdOsTq02L4l0UYECUWPlmN6HRsD1++P4GX3tx4Y6/v5+TGC+mmB7LoKtybGvCMOSNi9t89kmZ3//WFQCENvyb/3yRQt8eq2N5fOn5GSoNk3xai+fKTtVgbiKLLIt8tq+RzNXVOscm8/HP713djf8tiAJJXeb5U2PxNQRBiCAImJbH1dU6z5wcJanLVBtW/L3vvrXKZDlNvWVjWB5b1Q67dYuWYWN7PmlZxnFDLi43OD1XZKKUopDV+eOXr8dKHW9c3GailCKfGXwXvfi+7fhUmhaqKlHI6Fy8WYtjxo7r8M6V3b5u6BKu66MqEudvVNiqGhQyGpazF49VFYkTd8HF3A16fixE4y2lK4wUhs0N7hXjpdShsbvp0aiJ4sp2i/WdTtQdPoS1SpvdmkkYRrx4GMLnnprk5nqDNy5u43oBINBqO1x3feYnsqiKxPpuG98L8D1Y2zHYrVkYtofU7R6/ttOmabiMFZPIoojrBXz1c/Oxv//yO2tcXa6zVTdY320zWkyS1GTevbKDKAroqszL76yxMJGjbboAkaKHLA00qOvHWDHJVz83H/+8tNnc8zWqBulk5Gssb7ZodiIffm27TSapHlAMuB+w7O5eBLrcZoOzCyWaHYe17civcFyHYlbn2ds0jRzi8cCzp0bjdxkEIVdW6rHSxNXVKHflUY8nbdcMJFFkotsc9E9+sBQp2+USbFYMXnptOf7bm5e2eO9qBU2RcT2fb76yzBeemWa8mKKY09mtGwOc3jdfuYksimSSKjfWm5yaK/DTn50fOH/Px/jTV26yut1BFEXqLZv/73euDzRL6PdHfD9qJNFb1969uossiXHOw0bF4NP7Gi3s3/P88tfOAVHxwysfbMY5Nd94ZQlFFsmmVIIg5NtvrsT3v1MzSSUUjs9Ex+r5IqNdLuX6WgNZEhEEYY+XuEXO0GsXttEUGU2J/I0g3FO++tZry/E67LgOS5vNW67LV1bqXfu9N/Z6xRW1psVm7Ks7rG63Bt7TjfUmbSOyu0sbTTLJg/mTPezUzdhHc1ybdbXDzIdsCPggcGO9Scfcu6dsSn1smllNjqSZfIDFhg8aHwd+bnm7ERdwQJTf/DiiV8ABUZjlf/p3b/C3f+n5h3Y994Lvvb2GIEZq9s22w+sXNuMC/8cF1aZ1ILZyWFOT2+GhZW1PT0/z9ttvH/q3d999l4WFO9/oA/zO7/wOf/zHf8zv/M7vkM3uPYivfvWr/Jt/82/i4+7u7vL88x/dgO0toj3Yrh87dQBeEBxQB/H84JY/HwbL8QZ+djwf29szMmEIHTtawHoJ0b1O947nx7/rnW//8XrXYNjeQIDQdrxYatPrSpSG3eO2ugtmEIQD3/H8EM/bd8/7npMXMHhNXoBpDxrN3kYsvhbXH/h8P/a/h1uh/zgQ3ePdwvf33/PB8++/pv5rHrj+8M7GwKHfBex9z83zA9y+44Uh+MFtor5DPBR4XoAfhjGp4Ychnh8VWBCC032P3SmH7UZJXPuPYUTVXDEsx4vnuN89hu+FBH5IEETHj8ZFQBgGOF4QjxHfD/GCAM8PYlvmeD2bEsb/xef3g3j8ul0bEYQhQRjiekFsh1zPjwq9gu69eQG+HwwcK7Il0fH755fl7J+zd+dgHZzzj66Dtt8WuHdhG4Z4sNg/bmzHP3Qt6slv9qa27XrdedO3BvjBgeNZ9uFr0f61vv97+8fHUWuJc5frXm+T3zun4wYEQRDdU/cU/fduWB79y4ztdv2O/nXyLtbpo67d90Ncf9DP8oMQr2tf4nPtfy638Ul66D3P3vrd89/6bUjQJXUg8ovCrt0CsNy79yfuBzw/GHjWQ7vx8BEE0TjzuvO+t9b11nDXi5R56E6T/V5aQPTLIKC7nvrdsT7oP+9fH+/Gn7xb3Mqv7cd+e7N/zzHEEJ9U9PvwfhDgej5BGFmA3n4t7K5p0N1vBnv7gMhY7PkTng+RWx0dt5d04Hh+RMb2ne9u9sqPCvZf8+N4Dw8K98vHGuLDw3H9OG41VOJ49JBOKPy3f/15JFHg5XfW+cYPbz7sSxpiiAOI42nd9T8II7+gZdjxZ3y/G1/rxvLcwO/+e9AHsBwftxtnC4NuAnDQjfF5fuyne17QdStCgjBqUuF0z+91m24FQRjHB21ncJ0xrH2cwj2uQ6btD8QRHHtw7/8g17p74WaGGOJRwocdw73PxzzivnjYrXAwFjkY0fCD8J5iVP2xhLDLHbh+sGfPAMcN6R2ux21AFHvtIQhDLDs4cG6nj6cY4CRCuoVtXbvY5U+gay/7Ao5ej0Pp/sp2fLzAj283CEIct7fPOwjPP7hP6+dyB/aMd8MX+r09Yhg/A4jiMQfHytE84f73bzl+xNWEe9xQEIRH3t8QjxYOcPL3sJbu59X2x/xuhwMxwkNi50GXM3TdyC/oTU1zXzwxzlPYN4aPsjH7x36/nSAEu5+v9/dznntzqB9m1wfasz09v6n7vR6X0I3X9q6t/1xRgerBa+7F93u8Q88G3O4d9I7VO1fv+x9FPHboT3006M2R3rvvDdWO4Q5wYo7rR/khXo+PCLrNV0OCAGwnIAj3fPyQEMIQ1w/oLW1+GOU19fJ+/O6eYP95gi6pERD5En4Q4np7vFkQhANj1w+CuxofR+UAfVRj7gBP/xGff4iHi7CPA4aDOWGPKg74cftyDgzb7ftbMOBTu33rUjSfD/qEg8c+2h9om4evnT30z+/9+UD78yb2c/u3Qo9v7cHYd/+mfXhuJOzZ2R5cLxi4rtvtZ/rX5sAPYn4HDuFwb3NP/de1P8fvdjkhd+P3Py727HG5zo8j7jQn4FFGo2Ud+N3yduMhXMn9xdpO+2Ffwl2js28t2P/z44D7NSceWhHHz//8z/Nbv/VbvPTSS3GgSxAE3n33Xf71v/7XfP3rX7/jY21ubvKP//E/ptls8su//Mt8/etf5xd/8RcB+LVf+zXeeustvvKVr/AP/sE/4L/77/47ZPmjq74r5RJoatQZq0fg9i/Uk+XUgcrcQkYjoUfXKIoC46VULKO1XTXixbjRttmsdKg2TGRRJKHtKTWMFpJMldPxs50ZS3NsKo8siWSSCm3T4e3L27x+foP3r+/SNh12aga7dZOxQgJFFmmZDrWmxU69w7tXd3j36ja1poWuSOzUTCoNk8XJDBOlJCEhM+MZZFHoEksh5YzKtdUql5ZrmLZLrWVTb9noqogsi3EwL5VQyPZ1s2q0TX743nqk9dPFybkCn3liIiKdbI+ULvPF52fIpaNq2TAMGS8l2a5GzyjqKhDGz7BjuVQaJpuVzoHij/04NVtA7SoWaKrEySMqBnvH6xFpHdNls9KhbTjomkyxrwvIYV39+8eGJAmM9XVQ6K+6LGS1O5KU7mG8lIw73eiaxOxENpZ2FgSYKKeYHNk7VzmfuK0M9hD3F4fN58MwOZJGVySSukw6qaCpEpPldCzpO5pPIIkCoiRQaUbV0Kos4no+NzcaVJsW46Uk5+aLpBIKlu3R7rgUcwlSCYVMUkHXZEJCxstJBIGo878Avhcwko+kWJOajK5KbFcNLi1V+eF7GzTbNrt1g47psjiZRZIE8hltoPuUaXsIgoCuyciSQCapYLs+ItG/j03nKaQ1JElgdjSN6Xjs1Aw6lksQhLRNF9f1ubpa58pqHdv1EIRIDaCQ1ai3bBptm+dPj2C7Pm3TIZVQmO5WgjfaNus7bW6uNzh/vcJ2zSAMIyJ7p2ayVTXw/YBziyV6Zjif0eLvP4qYKKXia00lFHKHqI0M8XBwfDpP23S4tFxht25wer7AaCHJbsPgvWs77NSN7udyOJ5P27BJaBKLk1nyGY2RbmJXQpcpZDTOLpaoty22awaiEFJtWdzcaAysZZuVzkAF72gxgWl7sVrLaCEZqywpshgr1vTgegGblQ4T5RROdw5pqoSqilSbexsXy/HYrHSo1A1ev7BJKiHheh61honr+Tx9okw2pVHK6ciyiADUWhYXblZY2W5SqZtM9a075xaLNDv2XjcEASZGDnYRqjYtNiudWxJA/dKq85NZMimdsdLefWaTKo2Og6ZEXT2aHZtMQmGz0omDMhPlwXnV80l6z7rVifytlC6xthNJoWeSaqQSJouc6euwIUsipXyCessmm1bJZ7RIxU2TOTGTO/I+HiSSukJKl1nabLK+02Ki9HjIiX4cYdrRXOpYLifnCuSSGqoiUshobO4abOy2uHijwtuXtnBdH9NyEfftE0IgqUoEhOiahCCG1JoWrY7F+m4bTRG5vlZndbvF0ydKA2NbUyU2Kx0abfvAtfVsyv7CzzvFZN88SieVI7tcnZkvIklC/LlPkgpHz5bWDgkMDfHJRK27ztmuTyapIIkCtaaFqkg8caxMQleQJQFJFrAcB8OM1rOVzSam7aKrEqIQkaleEOIFEPoe27U26YSMIgmIYtQVKpVQyKU1RospMikVWRbomG7XP3j8ksszSTVWzRKEyAYNESGpy+Qzve7nez5WL350VGHwvSAMQ3br0b5qSJIcRM+fVhXpUHWqIR4+Ts0V+Rs/exaA3/rD97mx/vgTNUN8POB6PpuVDrIkIkkCp+YLeL6PYTm4gc/V1RoXl6oA3Nxs8qMPNqjWO7ieR71pEYYBqiIhAIoixv65LIloioQgROtnOqkwNZImnVQ4u1BCFKMO6rIoEoRQymmMFpKkdAXT9sindQQBdE1mspyi2XGZGUvvxeSSCmcWSghi5OdYjoemSqzvtFndbrFdMwiCkJYR7T1+8O4a33lrlUZ7Tw282XG4tFTFtP2BePrZY0WuLNe4ttZAEDh0rdsfq79XTJRScWw9qcvkhyocQzxGaLRtLNuL9909frEfnh+wVY24wP0N5gDKeR2ty0mkEgqFjHZHPrdhuYjCXjKSpkoHOvsnNHngd5Io8N7VHSp1k1uhP/43O5bhynKd//z9G7xzfZekLiNJAtNjKYpZjWrTYmmj0VXoCHnm5AgC0DEdXM/n2lqN96/txg00LMejmNVIJxRs12O0mCSXijjUpC4zPZqm2YniKPOTWSzH5+ZmE1URaXYcKg2Ttmlzc7PJ2k4rvr/JkST5jE7ohwR+QCmjMTuepdHlVd67usPGbpsb6w3+4o0V3ru2SyGjxvbn2HQOXZepNS1yaY1cSqHZsfGCAF0d5PPCMIyUMg7xy8v5BKoiMjOWQZZEUrrcfb8KmiISBAE3N5vs1IxDVaB76OczbddjtJDE8XwKGZ2kLpPQ5Kgzu/TQ0g6GOAKGFXHXPc4ADvLIxXtQDhwtJPbiCcLgPD0KPR/AsFzOLpRiW5VLq8yOD8YIgyCk2rCQJYEwhGJGw/ejJlmffWKc8W6MWxDgU6cj1YxiVgeBbm6DQbVhsrF7MJFpopTCtD1qzej4J2aLtAyHSt1gaavJbq3D9bUaN9cbdEw3zjHYqZu0DZv3r+5QbZpxgasgwKfOjuF6PvW2TbPjMDuWod2xMB0X2/ZIKDJhGFLK6whidK21psV4IcnaTpubGw0kSeg22hucx0ldodBVZU7qcsTBCnByLh/nk7RNhyAMabSjfajrBRSzKq7vMzOaRlVEEl2ueWEyd0fcy+1gdWPdh8WaRwvJ+P1qikQ5/3DVKWut6H4/bg2FJFFgtJhktJuro6siCU3m1GwBzw/YbZjUWhbFjMp21WBjt43tRHk2AgG6KlPMahRzKo2myXatQ7NjoyoSkiSgKSKaLBIGAa7rI4sihCG1lkmr41BrmVxaqnFjvcH6bpv5iSwCUaGRIkXXEvkTclxUNDOWIZ9WcTwfTRXx/QDH9Vjdbh0YS1vVaL3sdTb2/QBRFGibTnd/FBWrRHlC+/jzB+TDR8fuch/CXg5QLq0N5OM8CNXj3ji2Xf++zOEh7h6SJA5w0BPl1COrQGa7UVyh1rQY6eb/AciyyBeemaLatFjbbiFLIi8+McG11TqXlqs8sVBiopSkbTjYrsfp+Ty267G61abZcRgvpbi6UuM7b66wstXk3GKRzWqHpc0GuiozWkhGeVC1KA/KsBzeu7bL1dUaX3h2glR33VJkkb/0wgyW41FrWd19vsrVlRrvXdvF80OKfflAi9O5wTlWTvLB9V3+8DtX+eD67pHPASI/tpjVYp78s2dH0VWZtuHg+j6fPjfOVrXD+9d2aLQtyrkE19cavHdtF9NyGS0maLSj65idyA7EI263RxrYx0zkBlQ7njkxciCP71boj5GMFBKofTl+xayO3s0XPWwPODmSivMvs2mVTHIwVu10x0u1Gd2/qkTjRZKEW+4RPiw8L+DSzRrnb1Rw7nKNnigP3tMw/v7RYT8/d7ux+yjiyWNjAz9LAsyOPn45C/n04Lj/b/73TzykK/n/s/ffQZKkaXon9nPtoUXqrMzSVV2tpuVMY2anZ3ZmFrNYYAWwAPd2cTCQdjhhOKORBA+8OxiNZ0fSaIsDuEZ1dgYQIMC7xZEQBLDA7mJWjNyRrUV1VZeuSi1CK9eCf3wenhGRWdVV1dVdXT35mFV3ZkaE+xfu/r3f+z2veO4fLz05T6fnsrHbIwwjnjvz6CmZTZXM2+Z/3wuk+CCW7mOA7/v89b/+1/nBD35AqVSi0+lQqVRot9u8/PLL/L2/9/eQ5U8W2XP+/HkAnn766Xv6XBjFtHoO335tLXWkjy8WeeHc3G3lnKIoxnIDDE1GUxWurLZSacBCVme2muH6egfHC1jf7XN0roCiyEwVDdojct+aJrM0k08TN4Mw4t2ru/zDf3sB3w9o9TzKeZFgmM9qLM3myWd0Thwp0ejYSMBbV3bJmjq7rQGnFkus7vSRiFFVhaXZPJ9/ehFZFpX071zapdF1afUcTiyUWKv1WZjO4QcR06UMuYyKosgsTudRVZnTS2XyGS11bm3b4//1uxfSyqrjC3l+7nPHmSpl2G1ZvHe9Tt/2mS5leP7cLKosU+vYrG13AYnNeh9ZEk6JritUiwZbNbGBWa/1WZrJY+gqp5fLd5SGdbyATt+jlNcx9f33aHW7m8qRGZrC8YUCV9YSOTdJFIKU8gYD20eRpVSm/qBnw3YDDE1JHed0DK7ozp67D2fDD0JcPyJjqCiylD5PuiqnzpzjBkRxfE8FIoeAN954A13X79kOjGJ0Pg8DpbeD44qOSJIkoSgStZadyqHbrk8Uxlxd71Bv28xUMpi6Qph0hVIUiZ/5zCLL80XevrzL+et1tmoDZqtZclmVpZkCrh8hE7PVHDBwAm5tdgCJ44tFiCGjiyDIdmPAjY0Onb6H4/mYhoqpqzx3doazRyt88dklkVhqqMTA6naPrXofVZHT7n2Nrs1mbUClYLA8W+Dp09Np0fu//ZPr3Nho0ei4RHHM84/N0ht4qIrM6k6POI557GiV00fL/MxnFrlwo0Gr6yBJEpom47oi4FIpmjxzZoZ23+XWZpf13R4r2z0qBYNCVuf5c7OECfkLIhj75MmphIgNmCqKJPRPMjw/xAsisob6iSUGPu04yA5cutXgH//eRTwvRFEk/vzPnmK6mOF3vn89UcQJ+NyT88iSxOWVFqahUMzqfOXFJWYrORRFwvX37utbl3d58/JOIr1tcepImYHjM1vOsDiTZ6sxYGmugCJJTJdMFEViN5FHRoKzyxXKBSNR1woxdWUsiBZGMRdu1HHcUBAglkveVOn0XZbnSmiqzOJMjtlKlveuNwjCiJ+c36LVd7CcgOvrbTRNRpNlfu6lZf7SVx/D0BRsN+B7b23Q6jq0+y6Njs2pI2UkCU4tFckYKq43LN6Fk4slcllt31q7ttNLbZ2uyTx1avq2QcBW1yGMIqbLeySC5fi0+y7ru33iKGZ1p0c5b+AnnfqGSRlPnZzCNNR982p4fi8I2awPWJ7Nc+lWE8sNyRgKpZzOn3pygUopQ9YcH/vFmw0abRtJkijmdWYrWaoFA/0Af+LjQBBE/P4Pb9Lo2shInF4u88VnjzyUsXzacC8+geMGvHejkXZsObFYIohCLt5o8ns/vM6NjS7RRP6rDJimTDVvYns+figCM6W8QSmv0x94REkHSlWRyOgqluMTxjA/nePcsSq/+rOn8YIIRYKLt5ppF8fji8VU/rfRsbm+LpIWZVniiRPV+/IPXT/Ev4v1yXI8epZYs/VP+Jr7oOD5YWpLAY7OFz6SQM4hPn7c795gs95nfUckEqiqzOJ0lpWtHo4foqsyT5+eoTdw+Ue/e4F626LecnB8H0WW8YMYQ5PJGjK7bW9MrUeWBW+tqxJT5SwyEudOVDg+X6SQ1YkRARJFkfH8kLNHK6lU+KOGOI4ZOAGaKh82JZhAHMdYjkjeM3WVWstOk9NH/Z8Pi5ubnVRaPWOIfdVP4/7kdnbgvet1/tZ/90MWp3P8/b/1cw9pdIf4IERRzP/xH73C6+/vcGQmx//lb/zsbbnaQxziTngQfCGIxKT3rjfS7rTT5QyuF/D7P7zBzc0ujY6NqipU8jpxHNPue3h+RExERleQJOFfF3IayzMFclkN2w2pFE2aXQffj/DDkJyp8+SJKi89NU8uo2MaKn4QcnmlxdpOl+7AB2KOL5ToDETicz6rE4UxxxcLNLsuYRjT7Dp4vuAcKkWTs0crSUOngO7AI6MrdPoeXhByfKGIrgre8tX3tljd7VPK6ZRyOn/tl57E9iNevbBNPdlPnzxSZLacIYpFscpOwwIJjs0XefHcLFFMutZNcvVPnZpC+RCJxIfc2yHuBw/KDtwvdpsWt7a6AMiSxIkjJQpZbSy5J4piLt5spKo5UyWTU0vlfccaJkprqoIfRmNxpYNgOT4XbjRER9gwYnm+wMJ0HuU282dg+9zc6vDOlTpxLOIYX/vs0ZSnOAhD/u/izQb/4x9exvVCFFniucdm+cs//xgZQzRt+f9964roRC7Bzzy9yBefPcKP393kW6+v0u652G7IwnSWUs7g+XNzWE4Sw9NV+o5HtWBiuT62E9C3fRZnC4RBRLVkMlUy+aOfrNDsOLhBRDEnrm+76yIrEtOlDGePVXj8WJXXLm7z2sVtupaHpso8eWKKYwsl2j2Ha+ttijmD7YaF5wd0LQ9JknjyxBSfPTfHdCWDJMHl1TaeH2DoKpoi03d8TE0hl9krvoNxv9w0FJ46OT1mu4b3M4ojam2X3aaFkjTku7beJgxjFEXmyZNVXnx8/rb3IIxiNut91rZFwl8QRpxZLpM1VdHE5jDW+NDtwCQGts/Fm400ZnBmuUylIGLjk3Hk+0EURTQ6ohnFByVMt7oOV9fagIgLPHFiKt3XHxSXu7rWotV1Wd/tYbuiAVyn71ItZnjq1DRfem6R1Z0+OVNjNkkutN2Ad6/V2WkOuHijQbVoks1ofPGZRY4v7CVlbTcGXF/vEEQROVOjXDDYbgz48fktmh0b1wsJ44h8RkORRSxAUyWCCGQJam2HfEbjyEyO+ekcX3h6ET+I+Hc/vikS2zsOQWJv41jkZhydzzNVzPDM2Vlmq1mmSxnqbZtXLmyxst1FliQMXeHrnztGuWjy5In9++uBLYrlwhjUxAeKopj1Wo8/eWsdYokojjmzVAZJQpElwijmxEKBXEbFciMqRZNay2JjV3BSmirz9Onbx15uB8cLuHCjscc1LxTT+zCEH0S4XiCesYdY4LXdGLC63QNEE66nTk3dcU17EPg4bcGllSa1lo3jCd5wtprhzUs1am2bdtdmqmTSswMcL8C2AyRZwtQVpktZqkWdQs6gb7n8/g9vEcUxsiRRLZgcXyzSszz8MMKyRU4JEuiqQi6x96oqoyoy0yWT+ekchaxOEISsJ8/X/HSe1a0uuayG70ccWyxwaqnM5m4f34/o9F3yOY3tho2qShydL3J2ucxUKcNWvc+3Xl8TXa0k+PKzR+haPgPbxw9Cam2HuaksiiQxU8lwYrH0sfnwk7zbEAfl4zwobNUHrO2I57jdd8lnNFRFvu85fIgPh2EztDv5Pg/TJ/CDkPPXG2kn8KW5PLOVLI4bYBoqv/+jm3zn9TXCMKJgqlTLWTbrA4ihUjKIgpDdloMsSZxMmlP6QYSiyBxfKLC20yeOxZq4OJPnxmaXKIoo5XS+/MISvi/WBkNXuLbWwk7UOc4eq/DE0TI3t3scmS4QEXNltUUQRJiGiuWIgi6AXEbl5JEy3b6LJEnMTWU5daSczrH3bjT4Z398mTgWfsWvffUMLzxxsB9reyH/+Hffo96ykCWJM8cqHJsv0ul7ZA2ZCPjRO1tEUYymSjx5copWT+RcZgyFM0crdJLcrplKlseOVe4pLtHuOfhBxFTJRJZl6m0LRZapFM17thu2GxDfJsdvL/dQ5JhOYhjDzSW++xBBGPHe9TpeUmy3OJNLC14NXd2Xx/gg8e3XV9msiXyQSsHgF75w/J7yhIW6YLzvO31S8EnbGzxIfBric7/0n/2bsd9/97fuXmzgk4LJ7/A3fv0ZvvrZ4w9nMPeJb7++yu//4AZ+GJMxFP6jX3ma08uVhz2se0YYRtheeGD+993WGzw0b07TNP7BP/gH/NZv/RZf+tKX+MIXvsAXvvAF/s7f+TufyAKODwNFlnCcYKwSutF27hgUlGWJfEZDUxWiKE4TvkF0qhgScgNbdKwfJETjZO/DMIzHOm+riszFW62ENBAyW33bxQ8jBk5AFAvHvzcQgZjt5oA4FhXtUURa3R1LQjmllnTIiSKJ3iAgmzVQVQUkmd2OTRCKsftBRNfycL2Ivi2c2iAQ5O/oJmqjPhiTxql1XKZKopNHu+eSz+jMV3Ooiuhyo6oypZzOsMSyb4vNG4DnhVi2UAIYOAFhGKfHbnXv3AHX1EXXmIMKOMTn9+6H64dsNa092bQYWsn9ymW0OyZHKOl93v+8m4Z6XwUcAJqqJOTSXselfGacsDcN9ZBUfQiYnM99y7+jFLlpqOSzuniWdHWsO77lCLLFC0TSuOMF7LZt+gNPdMmQRQFEty+CAFEEuq5gewG2E1Lv2FQKBqWCSbvnJvLjoquNJsvstizRVV+S2Kz1CSOx6YsZSquKjUKz55LLaGlBliJLuH6QEgY9y6NveQQJcaLIErIs0bM88snnthsDQEZCwvMjBrbPbtumY7mJXLFwwjfrwgZZjtg06JrCxm4f01BFZ6tYnK/VdZKuMy6eH+L6YUL02mPz33ICXF8Eoueq2U98AQfsdXI9DCJ/snD+uiDkNU1BlmUu3Wxxdb2NhOiCHYQxm7U+tZZNREylYKIoMq2eUG8a2u3hfV3f7WFoKnFMMic8HDeg0RFFFK4Xph0JwlgUVo6vQ+I5VxU5JfNG4bhBKmnat72EINEIQlEgBmIt61lemnRca9t4QUSzI4pFVFlGVmQu3eqQNTUURUZX5XSOdQceAztIpZlVRSFr7nXnj2Mh73nQWjtqJ4c24XaoFM2xAg4QxJnrCXlUESwQctGuHzKwxLGiKE7VuSbn1dDWWk6A54W4Xkij6+IHIbqqYLshpqnuK+Dwg4i+5af2yXFD5qrZh1bAAdDuO/QsD11VUFU5JUMO8fGiO/DGJHdbPQddVShkdWpNUWAzCUkGL4hRVBlJFhs+UxeqVoos4/oxfijkyXsDjyCK6TvC942jmLXtbvps92w/DarB+Bxrjfw8Oi/uFcZdrk9ZU6y5Py0FHMCYLQXG/LlD/HRidD8ZBBEbtQGSJIqxFFmmbwl/3nICZFkmIk584hiRpgl9Jxwr4ABEYDMGP4iJIshmNCw7YG4qTzajEyR7YkWWyRjafc/3TwIkSexxH1WC+KPEUH1l6GONKgBFUUzXejD3fdSW2W7wqeto+WFRTxoHTJcfPbWbnybIssT/6tefY6pkslEb8N/9y3cO7Ep+iEN8XLDcIC3ggIRTc3w8PyaKxfoehqI5wW7LIUq8gTAEy40II0CSsJwQw9AIIohiwT/2LA/HD8gYGhlDRVZkJFlOuWtNVXC8kKlSlqmSiR/EyR7Xw3YDMrrgqj0/TvcWA9snCKOUk9tuDNKmMLYb0O2Lz4ZhjOOFbNRFo4Va2xY+iy9iEht10fGxn+zX4zim0/eolDLoupLu44nF3qpn+eNr3QRXb31I5alD7u0QjyKaoz5fHBNF8b5EIC/h1YcY5QNGoSgy+ayOoSv74koHod13U15SFIxHd0wKz2U06q09JZAwjNNmLrdDpWhSyhtcvNlMY61hFLNR6yX7G5Wtep9ohB8dFjKLQgrB50VxTKPrYrkBtuvjJw1wVFWmnDeptW1MXSNriiI4zw9Tjm9zV+zbgigiiiKaHRfXFXEH1xPHXt/ti2Y7bRskiWLOwNBVuokdq3Xs9B50LZd6x0lse0y77zBwA6bKGXqWiPlmDA1ZkthtWWR0kZxkTcSbR++jkzS7Ouh+FnOimcbw3rT7Hn3LT2JJEhsfwBkqsoTnhSnPrCoyfhiRy+iHscZPKDojc5N4nA+cjCPfD2RZqH/fTcf79kiH/TgWY7tTXK7Vc0VioyPiGJYbYhoapYLBZr2PoiicWCyNFQ50+m6ivOMjSZJQBopJm2ikY+m5aKpMJimC2Kr10VUlKRaDgRPgehEDO8ByAxwvpNX3cPyQdt/DDyJ6locsy/TtgHxWZ323J2KsEciKzOpOV8Rlk6T4dt9HVRWhiBLDek0kqdZaNrIkE0UxrhfR7DnYzrg/OEQuo5ExRUx16APJsiQSS+MkH0CSWK/10/uqyBJ+GAsF84SPHd3L+8GdYy+3Q28wzjUfpDysqcL2PMwCDhjnLoIwGlOledQRhhHdvoehKZRyJvmMTq3lEIYxQRARI4ncGcvHsgP8MMb1QuJYPBsZUycIIy6vikalEiJHoGu5SElc0/OjRAE4JgiETz/kgESsMqBr+WK/MfBE8pquYugqvYHHIFEbN3SFgS32B5qqCM7SC+hZPnEc4/sRgR+mfv3qdg9G7Net7V76rEaxiGsqScLu8DMflw8/ybsNcVA+zoPC6BwTRalirb/fOXyID4esqX2ifZ++5acFHCDmiJr4g6oic2Wlha4qZAyNIJa4ut5GVWRUVWa3adHoeuSyOpmMxvUN0QBWUxVkSeK9JB8CxFy8cKOBrsqYuorjhWnDOICN3T4De88v3az1yedNnj49Q7UsGk2oyh4ncXOznb630/fYbVppvL3Vc8fm2IXr9XQccQzv3Wzc9nrUWwN6A08UJGgKNzY6yJJEpWBg6BoXbzSRZQlVlYmRuHizmX52YAsVkqFdG8Z67yUuUS6YzFSyaQ7sdDlLJWk4fa92I3OHHD9lJMf0IAxjuJPFDgPbTws4QDwvw/3DR1nAAYjioeF5e+7YXvVuYOrqgd/pEB89HvX43PffurXvb9e2mvvf+Ijhn/7xlYc9hHvG+zdbKIqCqavEscSFG7e3559kKEle3oexmw9l1+Q4Dr/+67/Oj3/8Y/7cn/tz/N2/+3f5R//oH/Fbv/Vb/NIv/dKnqoBjiGLBSGUjQcg53S1kWRor+DA0JZW3GsqxDA1jMWeMkR2TyYUguiEAKdGmqUpCBiqJs6ZgGmKDM1UUHV+yugKSkAJUZAldFTKKuYw4vq7JTJWNsXMWshqyJH6XZUnI9OpKOtZhdfgoZiom6sh1qhb21DLGil4k0fFfnHuvu7ihKek10VSZQk4fuz7D1+63OGKIbGZvLLIsHLyx1w+47oc4BOyfz7omjz3zH4TciFOeMdWk48We7GDOHC8cGspZI4kufAB60hljKHE2fJ+pK8iScPBVVWZqRK2mVDCQJUE+SoguL7IklIEOImhHx2noCoahYGh7cxbGuxNUi2Za3KEq4hoVMroIUshiTLo+7HijjNm58sj5JWlv8yJLe0EOTZHRFJlCbnxTraoHV6If4hD3iiMz4x3VZ6ayzCaFBbIkOmOXcgb5rIY2QlrfThVq2BFrOC+HhR65rIahK0KFRt2bS9mJgsEPIo8MXRmTszY04QPIspSumVlDFfYqlSAWRVjDNVRONsRz1b3ENF1XySavZwwFXZNREr9uqpQZsw13GmfGHF9n76db9PDYqiIL6WddSf8ddJ5RDMdp6ApS4vfkM2p6zXVVOdCXUBUplRgdHv9hEwf5rD5mM0uFu/dBD/HgMOkbZs29+VXM3v6eGJqS+rqqIiPLIiFK12QMXcwxZDAMDUWR0FQZSRI+QWXEj86aGqN1IqO+yOTYDrtPP3hkDJVRUzBpCw/x04fReSdJjM1X8bpIrixkNSQpWctkGVmSkJH27SlGjyXJoiu1rEhCWnxE4l3sl9Wx8xzi048xOz/CpXxYjNoyVXl0Oy59VOgORBLBYRHHJx+lvMH/5q+8iCxLfPeNdb712trDHtIhfophaMpY0lHWVCnlDHIZoYiLRNpAJZfRkJGTv4Ghib9LkkQm4eFzGcGLmYZCRlPTRCNNlTENBVMft93pXlgTnIGqyBj63ueQoFo00r2FPuJbSNI4x2FqChkj6dqY7FFKqSK42AOJc0hUiyY5Uxvbr5uG+HzW0NBH/m5o8v791QRXP/m9DnGInwaM7TOlg2NUmqZ8YPzwfpA1Jvm+Dz7uaExNkvbH2A6CIsssTufS5GTxOTPlDeequbGE9KnED5suZ5BlwdlJQN4Q6uOmoWJq41zhMKFKVUUi25DHzWZUygUj4VyUNGklY6hpJ3JZkqjkDXRNoTwSAzY0hVLyezGjp/yiqamiayzChmYNLeXtJvdqo9dHVWW0Ed979HorinTHJLDR92aTtWKI8l3ErSf50EN+45ONSe77YXJ+k+f+ID5i2ElfU2UMQ8HU9ubZ7YpGhsccPqfDHITKRAwmM7FHLiXzK5/VkSQRtxW+koquip/zGQ1dVZKch718g0oylmrSkHJoY4d/H9qkYpKvMIzLVvJiTCLxMFFNlSWKWdGQ616a3wzPPcRsZfz3SZs8Om8liTE7cLcYxp33fv/k2oLJ7/tp4r4VRR67f4auMF0yBS8oSaiyTCFroCUdgbUkfqWqYn8w5AmXZ/PifkogyUJZSVNFXF7EIJRkLkhoqoSpy2mXYUWRRW6RrqCP7D9ArCujhQ7lvD6e52Co5JPGb8ME6uHzOlUan7czlUw6p1VFGjvOT0NezugcM5N7AvcfPz3EpxvmZDxqwn8bXSckCaZH5ls+q5Ex9uzKTKIQN8TchOrSQnUvP0JV5bHiymrRQBuJmU+u35PjmirvjcPQlTTXD/b7nEdmx9XFj8zcXm28UjTH8hKnS+bYGjY/NZ7jMfq7pslUSuPjetjFiQ8a5oR60cdpU0sj99jQlds22T7EIR40njxW3Pe30wvVhzCSB4ufeXruYQ/hnjE/Nb53WbqDPf+046FYQNM0uXLlCory6SHTWz2HGxsd4hiW5wr7nJdiVudnn1/i0kqLrKHy3NmZ2x4rDEP+5XeucWurSz6r86s/e4qzxyps1oQs2eJ0Lk0qtJyApdlCWqE5P5XD84RcqBdEVIsGA9tnea5AMWfwnddXaXZtsqZC34pZnMlxYj5PIWdyfL5AgOjOvVXv8dr7OwR+RBjFTJdNMrpCGImNUXcg5BMbbYl/Un+fx49XefrUFH4YoikSjutxecXF9QNsz8dQFabLBpomsTxbpJgzWJjOUetY/OY/fo2u5TFVNPnf/bXP8+e/fJrX3t+BOOboXIHvv7VBFIsu3hduNIjimBNHSrx4bhYQyQLnjlfYqg+oFg1i9shcQxcVwQPHZ3kuD5LoSCEk1gecPVq5L2Lh5GKJda2PH0TMV7MJsSPR7XtcXmlyZa1F1tT4yvNLrO32+Oarq0RxzOefWuBnnjkCiA6Y19bbtPsuWUPl7NHKbcnVIIy4stqib/sUszpnlsu8c63O+zcbaJrCy88ssjD98Rgyxw24stYSndmKJiePlPYlqN7Y6PDKhS0Anj87x2PHHz2poweFWstmZVvImJ9YLDJVyvDYsQobI/P5bhJ8wzDi6lqbm1sd3r1ax9QVnntslrPHKsgSbDfXubzSIkaQg0tzecp5E88P2W4MBDmjiiCFLEucOFLE90N+dH4Tzwt56tQUt7Z6hFGEH8ZYjs9f/NppVrb62G7An37pGN97a5WL1xvU2jalvMnCVI6ZSo5Wz+Gv/+1vgRRz9miFv/EbLzBVNLm61mK7YSXFGdAfeKzW+shAEMFrF7eplk26PY9m1+LqeocwiCnkNK5vtCnldM5faxHHMfPVDFdXW7x7rc7vff8Gc9Usrb6DLCkcXyhwaqnEsYUSC1O5NOlNliUKOZ0TRwq4npAodD3Rjc/zQpZmCyzO5A7sNOR4AVdX29heQBSJTjmqInNqqXRXXYVAKANdXW0RhBHzUzmW5wr38OTsYbshJFIV+d7Of4iPF8+enuX/84eXqLcdNE3m3cu7vKdKrG318IKIjKmy27ZEgWFWdNI/vlDkyEx+zK4GQYSqiEKKo/NFwihCU2U26gOiMKTesbi21ubJk1Vmq1myhsrCdI4oFl32dpoWlYJJtWjieAHffn2NZtdhppzhKy8ehTjm8moL2w3oWx69gQeSIHvrHTuVvdZVmSOzBZSkqOPWVpflubzwY0yNZ85M4/piDfxP/sKT2F7IP//jS+w0LcIwxo8jNEliaTaH64UcmctxdL5I3/a4tNKk03c5Nl/gxcdnsd2AK6stXD9kpixkj08sFNFVGdcPcdyAd67W6FseWw2LOBJdPoff/+zRCsQx335jnXrHplo0+eqLy8xVs8RxTN/2WZzJ4wchsizIaz8U6hyXbjVRFZkzy+U0iQQEKXV9o43rhZxdLlEpZvh8doF3rzXw/JDnH5vB1FVaXYcbmx1cN+TNKztYTkClYPKFZxbJGuo+0mjUtlSLJqeOlLBd8Tc3CJmtZDm+UKRveVxda39o+wGiC8X8VJYfvbNFHEc4XsA/+YP3WZ7N8/KzRz6VxdOfROSzOqeXyzS7DllDFGFcvNlkZavLkydL1LsOgTveYS2MwLYDrq51kIFCXiWOoBlEbNT6qKro0pY3NR4/UWGjbuH7Ie2uzXa9j64rvHOtxt/4jWc5vlBmt2lxY7NDOWdwZrmcnmchISTF82tQyhv4gfA9a22bTt9lvppleb7A4sfkbx4Ezwv4zpvr1Np78/xRIfSypsaZ5Qr1jo2hKXcklA/x04Fj80VURaxzpq6w07Rodh1MXWanaXNppUkUx5xaKgnfO6ezNJUhlCQsx2e7btEf7O+yNhR8CcKYnXqfnqnSszyub3Z55vQU2YyO54V0+hILU7nbPoueF+xbVx+V+fZJhuuHXEn8sGrB5NTS/r30R4EjM3lkScJyA6aK5pjP82FwaqnMRq1PGEYsTOc+dQGsD4uXnlzgykqbX3r55MMeyiHuAk+enOLf//lz/PY33ufv/et3OXu0zNH5/cGcQxzio4auKZw7VmF9t8/r7+9wa7PDeq2HrsnomsbJxSJbjQHtnkfWACeMCBOFy2rRxPF9LCsk1OAn5zexHKGOmc3onDpS4vhCkUrRZHmuwOmlMrWWxdtX6vRtoQI2jGloqky1aFLv2pw8UsJ1Al65uC0Sj+MYTVVY3emRy2gcmysgyRIz5QylvEEcwztX66KjpqlSyOpsNQdcX28zPyU4gsWpLM1ERdcNIv7Ob7+Oril89cUlMoZCo+tADN9+bZVW32Vg+7S6DkEU0R14QpVYFr5UxlQZWH6a1Pn8YzNjDVu6A49r623CMOLIbP6B7Wm26gPWdw/5ukN8cnBkJo8sS9iJz3dQ8xFFljh3TMTSFEXe15Tmg3BQHHR1u8ut7S63NjpkDI1jC0UaHZvVnR7FnM6Z5QpvXtrhymoLXVN4+dkjzE/leOr0DJIk0eg6HJnJ4fkhr17cTlR/VL731jrX1zuU8jpffm6Jzz25gCxLfP2l4/h+xLvXakxXsvz6zz2WFhOfWirz/LlZ3rpco5TT+dwT8wAcmy9gqDJK0gl8aS7HwnSeKystdloWURhTKZo8d3aGF5+Y40fvbvLPv3klVVF95uwsJxaLVIoG1WJGJL7JEgvVHJdWmtza9mn1XHZbFp4v1HtfemoBQ1dZ2xEqqaWszrffWMWyA2ptmzAMyRjiu0ax4GamSib/5nvXIJZ48YlZbm52eOtyHUWWOH20RKsj1ANefHw8MeP0UpmN3X7KI04qMo9iqpQhDIUKq2kovH8z5PJKk+lylq++uPyBz4DgW0XH3nLCIQFs1Pps1vooCc9auM89x/feXOPVC9toisLXP3+MJ05M3ddxDiFQKZicWCwlqhfaviTFB4k4jrm52aXWtmh0HHKGyo2tLrIkMV0y+cqLRzk6L7qDlwsGEPM737tG3/Y5Olfg+cdmUz58YTrH2aMijhrFQqmnUjDpOz5RHPHs2ekDz13v2HhByMnFEo4bpN3qd1sWP/43WxiazNxUliMzeX77G+9juz4nF8v82S8c41986wo7jQE920NVZI7NFzg+X+DqWoeVnS6lvIEXiFgFsUQpq/HO1RpvXt7mD358k889NU+9bdFJOnS/8Pg8WbMh1EAkMU9LeYPHjlaYKmfQVZkfnd/k+BFhWxRZRlFldloOVqIadHS+QBzD2k4PSYKTR0ppE5BbW112WxaGqnBqqcTidI6bW12qRYMXzs3y9tU6jY7DbDmTNsIbxmHaPZeNWo9cRuQbTPI9V1ZbvHFpB4DPPjHH6aX9Mf6sqaIpMqs7PQpZjanixz9X7zbPYnlO5NG4fsh0KfOJLji5H6iqxA/fEffryy8c4dhcnh+d36LVcwjDiM6Wy27bxrI9ghBUGQxDpdv3eftKDdsV/KIE2El8Im9I1FoDPB+iKGS+mkNVJHoDD02V0Q2Fct6knDco53V6lo8kS5TzeqKc4zOwfSzXZ2EmRxSK5/mda7v87vdv4Pghz56ZYbpk8gev3KTTc1mYzrE4k0uLN04vV/CCiJ2GxWw1y7ljVWw3YHW7y+p2j3LBoG/7nFgssjR75/hZHMdc3+jQ7DpkdJUzR/c/97eDl3B5lhtQzhucXio/FLW+o3MiXuv6IWeWy/QsDy+ImK1kD5uqHAKA3ZbF6nayXiyWOHu0Qq0t4lHz1SyXbjXpWh75jMbXPrfM9fUOPcvj6VNT/PKXTvJvv38Tzwv5uc8d5f/xL97i1mYPJPgznz3KsaUy799sUika/PkvnuB/+INL7LZsjs4VmJ/K8E/+4DJhFHFkOs+f/cJxvvvGOgBfem6Jdt/lncs1dE3hrx5/gm++usJ206KcN/js4zNcXmnS7rscXyjyc589yjtX6jh+yFMnp1jf7fPj85tIssTXXlzmX333KtfW2mQzGn/uC8eYKWfYqPdZmMrxxWePjF2PW1sdfvLeNnEc85nTM/zFr5zmlQvbGJrC1z53FM+P0njts2ensRyfrbrFqSMlnjxV4be/cQnbCXju3AzPnZ1JVQMXpnO8enGbK6stDE3hC08vcuFmnd2WTTlv8NUXl8iae37wGB8xk2fxAcYGN2t9NhL/+9SRErWWTbMn7NzyXI4fvLNFO4nv/uzzywcqn4EoOM+aKlfX2mQMhTPLZS6vNOkMPHKmxnw1yw/e2aRnexyZyfPl5x5cbsFXXljm7as1oijm6VPTtx3jIT55+L0f3ODizQYZQ+WXXz7JsYXSwx7SPaFaffQLNkAk/Y/q1/xPf+mZhzWU+8bzj03x+z+6iWUHzFYyPH780eMA7iX/+054aFH45557jnfffZeXXnrpYQ3hgeLmRjeVjVzZ7lKdqOYEWJjO31Wi/bvXGtzcFEnfvYHHd9/Y4Ne//hgnFseN3kEBBz8I2W3bzE/luL7RZqdpkc/orO708P02rZ5Lo+uiyApnj+aZq+Y4vlBMnZp3r9Vw3JAfvbuF60VAjBdESEm1fizFuH5E1tTYaVrIkggunb9eZ7qcQVMU2o6LH4oOoJ4f4bghpqaxVbd48sQMcSxxaqkMwH/7z9+mMxCylfWOw29/4yL/8//Js5xYLPHGpR3iGNa3uniBkGbs2z6zlSztrsuNzU5KHGRNLT3mJBam90ipnuXR7DiAhOdHrGz1ePzEvRtnRZE5NhHMna1kcb0wlS62bJ83Lu3w3rUGfiJX98N3N3nm7Az5jE69Y6fStZYTsFHr77vHQ2w3BqmcfHfgcWW1xcVEQsjzQl69sMOvfPnjSQZb2+3hJJv4RsehWjTHuphEUcQrF7bS+fD6pW1OLJXuqWvIpwVhFHNrq5NK+d3cFLZB15Tb3uvbYadp0R14XF9rA6Lb0+p2jydOVGkPPOYqWdZ2esQxCanX5+lTolhsZasrOt4pMoszefJZDcsOWN/tieQxQm5sdun0XQpZA0NXsNyAZsfjTz21kI7h1752jgsnGqksZ7vnYuoK//K7V7G9AFWRuLLa5k/eXGNhJk/O1IjjWEiFxwgpclVhq2GhKBJBGLGy06WcN1jZ6qPKCighjhehqSrv32qn6j3bDZuMoWF7Ab4f0hm4GLpK3hQBgvmpHKauJOSv6MJ1ZCbPkZF6uZubHWotG1WWUU2ZYv72Mt/ru6J4xQ8ibm52mJ/KUswZ3Nrs8swdivBGsbLVTee+KDI7OHh2J3h+KCRjEcVcNzY6PPfY7D0d4xAfD/7Vn1wjjKBSNGh0HG5t9zA0ha7ts1DN0ew51Fo2izN5OgOfLyXrbr1t0x14OG6I7QWsbfdYmM5RyOpMlUzyGY2N3T7H54u8cWkHCYm5qSy3tnp86bml1K+oNQfIkpQmY2/V+yIhtCMkdmstm4s36pTyBrYT4Pkhm7UBc9UsA9vHDQJOJJurqZKZBgNaPQfXC1mYyvGTrS7TpWxKov7iF09QTt737dfX2G5YxHHM2m6P2UqGYiVHb+Dx8rOzyLJMrWVxZbWVSJSadAc+1xJZVdcL03FWCiblgsHR+SKtrsPVxO69e62BnHSG2qg1xHyKhQ1o91zqbRuAZsfhvet1Xnx8/raBKcvxee+6WEf9IOLmVpenT+0Ff9Z3++k1iJNA6rU1n8eOCr+jbwtJ8+sbHaIo5vz1Oqs7faoFg2bXYWO3z9dfOrbvvEPbMhxnpWBQa9upPPpu06JSMFjb6Y3Zj6mSed/BhU7fZX2nz9H5Are2utzc6vL4sSprO31ubfU4eeTR2lQ/yqgWRYFVHMe8cWmX7sDD9UI264KgvLkpnqcwEj6EJAk5YgAk6A8CchlRVB1FEUEQoWtCoefySptj80V2WxYhEmEUE7sRPcvnt79xmX//z5yj3XNTlbu3r9b4ygsiOC9J0r59xVa9z8D22WkM8IMIUxNdJqtF86Elcl+81aTW2pvn56/V+WySkPEooFwwUj/lEIeQZSkt0Hvnao0wjKkWTVG8EcVYTkDP8jA0hdlKlmJOp5DVMXSFtZ0uWzXrA8/hhzBwAgo5k43dPrOVDIvTMpYTcHRenLtv+2k3yFFcvNUcW1cftfn2ScXGbh87kQRvdh0qXYOp0kev0iBJ0gMNEA2hqXKq9HqI/ZirZvmbf+WFhz2MQ9wD/tJXz3D+ep23r9T4O7/9Ov/n/+WXDgvYDvFQkM/q+EFIu++yWR/geBHEEqocMzedp2f5WG6A40eEsVDmVhQJxwvJGDqKHOJ6Ie2+l3aXHDg+A9sjn9V56uQ0p5PEn6trbXqWlyR5xRiaQrVoMrD9dE8cBBHrtT75jPAZ3rla58RCMeUfJEni9Agv74dR2nE+jGM6PZfpUoYNL6TedsiaKl3L58kTU9TaFu/falHMakQx/OS9bX7hCyco5gwaHZv3bjSYq2SptyyCMCaX0Wj3XK6tRRia6Pi7sRtQyOqUCwYZQyUIY0Zxc7NDkOyv13f6D2RP4/ohazt7fN298IWHOMRHBVmW7qphwJ1iaR+EyTioocpsNyx2GzayLCPJIgbguEItvNv3uHSrweWVFiD4v9cubvNLL59CkSU+c0bMm0bH5nrCEfYsjzcu7XBjo4PnRzQ6Dm9e2uXUUpmpUgbTUPmLXzvLX/za2X3j84OQfEbn5YR3XdvpMV3O8O61OtVSBj+ICKKYmXKWWstm4ARYji/sS1ajM/DoDjx+8t423YFHHIvY3aWVJvmMRhjGafHKsYUitZbFaxe3MTQVRfKx3YBO32Vls5skSy3xxqVdwR1eq9HsukRxTN/yMDQV2w2JYnjyxBSqKnPpViux2zF/8uY6rZ5Ilu3bPq9d3OX0kTIxsF7rs1nrsTwnfHFVkTl2D375bDVLMa/zvTfW6Vk+0+UsqiLx9tXaB+4bJEkai7mCSAzf2O0DYs24tdnl6dPTB338jmh2bH7y3jYAbhDyx6+sHBZxPADMVDLMVD76feeQn+/2RRz+VtJAKmsKde93r9VEvDG5pd98dTWNe69u93D9kFJO8GabNRFPOzZfpN62RQzD8anqCqeXyuw2HZZmi/vODUJBu297HF8oUc/aNDsOF67XGTgBxayOJNl889VVgjBCUxXWdnv8o9+7iKmr9G0fYtHUqtayyZk6U6UMa7UetZaNIklIskQhq7HdtPGCCOIYW4r4k7c2WJzOYyQcqu0E/NmfOSmaxI0kfBfzBtWiyfs3m0kSvAnzEEQRqixzbb1Nq+tSyZtcX28jJWqsIGxw5ZxJp++y2xS8kOuHnL9RJ5/V0/jGezca6KqS+mo7TYvFmTxrOz1cL6TetokioQrSt3z6lpc2ewiCiNcubqdx7dcu7nBysbQvWbPVc/GDKD3HZn3A6ZGmQR8H7jbPYpSD+7QhCCLevlxLub23L9dodV1MTaGUN1jd6eJ6IY4TpI1fwgh8P6LRtnB84VN7QYifNJhDAsuLWd0ecHKpRM7M0Oo6fO6JWfqOaBw5P5VjupxhppxhupxJOfuteh9FljB1lYEdQAxRGHNsoUjP9ri21sXxQsIo5uZmhws3mkRxhKoq1NoOfctjsz5I7+MTJ6bG1oGMoYrCyJHi6VxG25eTNYlm10ljpbYbsL7bH9u/3AkbtT5WwuW1ey71js1sJfsBn3rwmHyOJxWGDvHTjSCMuLXVhcR239js8MK5uXSubNb6dJOcvL7lc+FGQzRITDCwQ/6DX3oKgB+9s876ziAtCv7O2xv8zScXUv/6e+9sMV3OMl0W8+BffPuaUA9XFHaaA/7pH13m7FGRf/et11ZZ3+1RTMbxL79zlSeTOd3uufzeD25h6CqVgkmn77FZG/D5zywCoinihZsNiolv8Ac/WUl59YHl8y++dY3F6Xzql1682eT5kRyaV9/bSXmAt67s8qs/e4Zf+7nH9i5aZk9JdGW7y5nlCmeWxTX5xo9XyGd08hmd9Z0BWyN2aadpcWVkb/PvfnQzVXhq91zevdYYy68a4yN2Ez7iAajnOIktA7EWvHuthqGJ49puwHdeX2eQXK/thsXl1RZPnjzYr+5bHn3LT9f0CzcaafLxwPb5zptraX7gxm5/LE/zwyKf1fniM0c++I2H+ETh+nqbC0m+quUEfPO1Nf7aLz9a+SYX12v7/lar1ZiZebS4vWDi9//k//SH/P3/7c8/lLHcL/7Vd25iaCqGpuKHMb/34+v82tfOPexh3RPuJf/7TnhoWdX/xX/xX/DP/tk/43d+53cYDAYPaxgPDDHx6C9AfLu3fiDCKBr7PQij27zzgHHEe6ceJnMPxxQNs8DG/4c/cvzh+4dj2Ps9eT0haOMoEt955FxR8qYoTt4c7b0WA+mf471rM/ndwtGxpGMaOcnIK9HdX5YU6TUY/h7f/306CJP3Loxiwnj8+oZhmP48ijsNZfK1fdftAX+PO2HyVAddw9HrHMfc3836NCCOx65X/CHu0/A6T86QIIyJkvOkU4V47L7E7M1Dhj/H8ZipiqI4/fvoe/Z/pdHjimMM7/fwJd+PGJu2w/NFcTKW4UnjsddheL1i8f7hWJJ/UfrT3rkicZj0GtwJ9zLn9mzb/duMyffez/2f/MTHONUPcY8Igsn7ndzz9BkfzjMxF4aI4r35Ojr/hr+PPkdRPJx1yTlH1oL9z9tBa974sdNxwqhxmbBbI5+PRpwMxBq399q4dUq/68Tnw4kxhVF0x7ky9loc7V1TSK/jqH0b/a53wn57cOe5Pnkvhucffi6aGER4G99t8jxxvOcfjf1t31p74OHuCmPXM5p4/n5a1+eHjDhdt8bX9rux8Qeuz8nfwjgaLphjCMP9k+SD1qRJPzzdRjzEdWhyHkzauEMc4pHFxLo79Idhv58dRXFK+t/ToWNhC/Z8juH5Dp5Hh/Pto8GkLzHpFx3iEId4uJBlif/1X36ecsFgZbvHP/w37z3sIR3ipxhhFI/wZQJxHOOH4bhrP8r3McLpD/8z8mIY7+1FQKzvo35+zN5+Y2IrPkbtxjGMjmJyfRvzG+I45QfEMMTPqY8TTeylR35P35P823spTviNcV4y/V4fwMc9iD1NPLGGP+gYwyEO8UnFZBw0HJnbMIwFjL1rX2HVQVTUJBc5yv8N7dzd7Ekm3xJP2JPhqYc0yTA2kcYvYmGHoiiasIPRmC3bszfjpnYY34gZsXMjMY7UmEEawxmhjyd44P1rQHo94gewl4jHz3cQl3zXh/oQMZSxz00e95C2fKRwEHcO++fh3vvHb/Dk6yOPfPrDXmjxzs9camfS948fazKWH4UHP7PifdHIBJ6Y0yP/38ffJN8vnPiek3Zkcgx733vPnkx+z33U8Li48z47O+kjpZ+f4H0R33bMhgubyD48qHn/YXBPMd9PMeKJn8MoGv/b5HVK/h8m63X6eI8v8ePxfyCIxz8/XL/GckJGX2f8uQuDaPzzUUwcR2MDjKL4ntei+7nv93KOw+fsEI8C4sk5PPGcfhAnPfq6PxF7+KC97+S5RnMP951nYr0NJhaY0c9GEwvS5Gcn4/D7fh9df2PY72mOvDzxHcI7nGsyrj5pTybz+PbxEbcdxb3htr5Pgsn8wTvlA0yOad992/f73Y3xEJ9eBB/wjDwKCLsPewQfDYaNYx8lTNqrcLIy5RHAg/IXH1oRx7/37/17bG9v87f+1t/ixRdf5LnnnuP5559P/73wwqPVre7oXDHtbLU4k0NTFRodm5XtLuu7PVa2u6ztdFnd7rLdGBBFQuHi7Su7vHpxm9cubvPKe1tsNwZ85tQM1aKB5fhEcczLzy6m5wmCiPPXarzy3hatrqgY7/RdVra7NDo2uqak1aZz1UwibRujazJTlQyqLCWSvwbTJRPL8bm62uJffOsyP3pnk1rT4o3LO5TzBmEUEYSxkFrsWvQsj0rBwNRkOgMPRYJcVkXXZJbn8hi6Si6j8dy5OUp5nXxWI5/RWZjOoUrQ7jt848c38YOIla0Ob1/Z5dyJKookHB9FlpgtZfj+m+us7/YAiSurTfq2R7UoJF8NXcFyAuREGWR4De4WxZxO1lSptSw6A5el2b2uMmEY8sN3Nvi9H9zg5mbnPp+DAvNToupYkhiR+hEz9Jkz05TyGRodG8sWUpK7LQvb9Vmcvr2M7Vw1i2mIateMoXLu+BTHF0WXEUWReO5j7PR1ZCafVl4X83ralW0IWZZ59uxsOh+eOjWF/lPauVBRZJbmkmdMgqPzRSTpYInNMIzYrPVZ2+nhTSysTqIIYTk+JxaKGJpCLqNxdL5AxlDFXHZ9ijkNOZlPT56opooZizM5FqdzTCUqIOWCTs5UKecNMqboWnFmuczSXJ4ojqm3LfKmllZbt3sOr17c5gdvr+MFIe+vNLl4s0EURjQ7NvPVLEEQEUYRhipTyKlMlUwGjlDNuLHZZm23x9G5XNptv9f38MOI2WoGWZY4OlcgBmQZFEXYtSMzWRzHp9GxKeV1pssmpi7jhyG6KiNLiK78moTnh+Qy+5+zIIxY3+3xyntbfOeNVb79xiprOx1yGY2coaY2eXIDtTiTo+/4dPou1aJJPqtTb1vU2zbX1lt3df+PJhK9IJQN8gdIiPcsj5XtbtqlZBLGiE2XJDi28OnsFvNpwC++fBzH9dlpWMRRzOJsjvmpHOWCQRBHFHIaOVPDcvxU+SAm5tZmR6xlMWQNjYwhc+lWg3ev7rKy2eH89TpxHNHpu8xWMiiyRKNjE8cR//q71/gX37zCZq2P54VptxlDU5ifzvHkySmyifpLIatz7liVxekcmipj6CrT5QyeH6LIYBoKtZaFpsmU8wZRFHH+ej3plCfmx+llIUO+WesTxzE/eneTVy+I7mife2KBMIzYqvfJGirLs3kKWZ2luQL1jkMYxcxWszx7ZoYgjGj3XXRNEp3qZInuwKPWsrAdn8srLd65ssO//u4Vfv8HN9htDai1LOan8xRzOhlD5cRCkXxWR9dkFqdznDtWpZDMMVNXKeV01nd7ty2EzWU0ijmdWtum2bHZ2Onzez+4wcqWWP8Pmr+L03lubnS4stoinxMdBY/M5Gl0bWbLJlMlE0mSKOR0vvCZg7uVH5nJp1KghaxOtWiyNJdHUcS5DF2h03cxDZXhcjFTyZCfUPEZ9f0+COWCmXbBWpjOcjRREpupZDj+iElbPqro9G2+8aOb/NErK/Rtj3rHRgK6A5ebG21aXYet+gDTUAhCkRQgwzhBGYMig+2F+KEInimKhB+GtPoOJ44UaLQdFFkiayjomoyuy8TEPHmySs7UmC6Lrnu6rvDEiSrru70x1ZchLMfH90MGjs90OYOhK6gqqZrOvSSQP0iMzvNsRrtt15hDHOJRw+JsjvdvNfiTt9aRgbWdLtsNi4yu8PiJKoWMRhCGWK5PxlRZni8Qx9FdEf6aItMduGQyCrmMiuMGREkBZaVoHKjCAZ/++eYHEWs7vTv6Ch8Fhn4YQD6rfaAKR7PrsLLdTTu43A2G+5/13XH7vtuyWN3u0rO8D9yDHOIQP82oFEz+5l9+AUmCP/zJCt97c/1hD+kQP0UIw4iNhBucrWTwg5AoivC8AEURfJvnh0iAIktIEmiqRBSGBEFIFEZoioTrBUhxjKEL7kwCdFUiCEJurLe5vNrkB2+v8/rFbdo9h77tocoSGUMljCK0hHfcqPdZ2e4Ift5yuLnVYWO3x2zFwNQUNmp96m2LzdqAH727wbvXaqzt9JgqmSmPnctoPHlqSvBwWY2ZcpZ626bWsljf6aKqMuWCTgSoisSffukYR+cLSJLYi59YLKKpMtWiSSmvY2oKlWKG4wsFjiS8w8kkZlDM6mw1+lxfb2M5XnpdBR8rfp6rZtMumXEcs90YsLrdxXL8e7pXpqEyNxIDGKqcHeIQDxO2G4zFH2GP13/7yu4H7uWH/mLf8ljb6fGT97a4tjbOg0/GQadKGaolk5lyBkWRmC5nOLVUplwwGDg+za5DHMfkMxq247PV6GPoiuhezx6/Fcfx3t5Eijk2X6RaNJFlEYN64kSVmUqWYMRO+sH+5IRRLl102ZfYrPVZms0zcHwyhkLWkBkMXDp9F8/zRYOZRO0UhBLpZx+fJ2MqxLHg6h4/XmWqZDJdzrDbsnj/ZoM//Mktas0BlYKRFH1ExLHEdqNPo23Rs312mhblvMafvLXOTmuQ8ntxHBOFAZoiYehCvThnqnz2yVl8P6RneRydLzA/laHvCBv99MkpojhCkiXmqzlmyxnevLzLd95Y5f1bDa6uttL7dzv86LyIf15ba6EoEtWSiakpRMRUSybPnhmPM/rB3t7iTvumrKmlSg+yLN23TZwuZXgqUfCQJfjic4sf8IlDfFJQb1tcWW1Tb9vkTJV8RuOx41V0TU6KsuL03g7x3NlZdFUhjmMMXWF2KsNOc8BOy8LzQ5pdBz8USg/tvktMjCRJNHvOWGx/bafLj97d5PpGhzAK8fyQUl6n3XdTO/H48Sr5jMhhKOV1/uJXzqArMnEckTUVnjldpW95mIbCUHBitprl+GIJywnRVIli1kA3FCoFE1WRODKdw9BkMrqMIsHyXB7XC9A1hWbXYX23z3ffXGWz1ufKSoPdlkUUx8wk/OxyEn8YFrcWc0KJrVzQ6dseV1fb1FsWzY7NVr1Po7v3vUt5HVMX8ZzuwOWJk1U2a32+9doKP3hnA8cLWN3pstuyWNvpcWtTcMDz1QxvXtrh/ZsN+rZHLqNRLZrkMloan47jeE+xXIJnzsyk8YwhLMenZ/kEoWi6pary2D1pJVxGq3dvORz3iumSGDsIpdA75Vl8FFhP1sorq3cXM/4o0LM9Zkomu22LWtuimhfxs0ZHxLNdT+TUZA0FTZGQAFURfrepy2gKRKGIEeqaTBzFacO6QkbBD0I6fRdDV2i0bLoDl5yh0um7hFFEJa+x3Rjww3c3+PH5TYiFCt/aTg9VlkR3fkkc+2efP8J02cTzQrqWhyJLHFsoosgyqiKxOJ2l1na4cKNO84C4V7Pr8P6tBtfW2qxsi872uYzGdOmDFSkqBTP1Myaf1w+KtY1yebnMXoxlFAftK3qWx+q2mIf3A8cLWNvpsVnv3zY5tm/74hzN+zvHIT490FSZ2arYaze6Nkdmc1iOeD52mhazlSydvsv563XOX69RyqmsbHW4utpEliUMNeK/+vs/5G/9t3/CVNmkWjLwggg/iHjx8Vk8P+TySpOtRp+Xn1mk1bG5strEdnx+/nNLhHFMEEWUCxl+9WdPc329zbX1Np9/aoG5apZm16ZnufzZnzmWxsGjOOLnXzpOb+CxvttDUSSOzZfS/Ek/CHliGJOQ4E9/bpmZciZR0Yv4xS+eRJah3XeRZXjiRIWdptjPDGyfx49Pc32jzbX1FkszObLmeBxkq97nlfe2uHyrxfxUlnrb4tKKyE38uc8dFcpEwLGFIscWSqlPPF3OciSxIYoi8bXPLqdKpFlD5elT09RaIk9U+PQH8xEfFllTY7a6x0k8dXIKWZbYbVlYTsAXnzmS+GfiPj02orwyiUJWp5rYUlmWePr0FFEcs9uycL2Qn3lmEV0XHM9UKcPJ++gufxBsN+DmZpu3r+yyut09cH93J0TRnu213Ucr6/te8jw+iXjsaCVVglQViZefefT2bU8/sT/H9lFT4TgI/+//+s8+7CHcM/78l06lex7HCfjFl0897CHdM0b3JcP8tfuBFH+Y1vAfAv/lf/lf3jaZeYjf/M3f/JhGc3c4f/48AE8//fSBr4dhRBQLJ6netrmx0cFxA1Z3e8xXs+y2bKZLGcoFg5lKhlubXTZqfbbrA1o9l7NHK6iqxFdfXGZ9t0/P8sjoCscWSqmE7Q/e2eDWpigJ01WFL7+wxMrWXonYySMlpstCFniozrm63aOWyIhKUsypI2WKOY2tusXf+9fn8YOIRtemnDPQNBnL9pEVmVbHQldlGj0P01CJo5gnT05xa7NLFEWoqszCTI6/9JUzDOyQKI7RVYXHT1TQVYlG16WcM2lZFn/3f3gLy/Xx/YhCVuOzT8yzXR+Qz+k0OzbVgsbllRblYhbLCTh7tEzfCSCCcsGgXDR49swsG7s92n2XZtfh6FwBQ1c5vVxOpc4+CJ4fcv56HdcLkRPZ3+Hi8gc/vsk7V+uAcLj+yp85x/zUB8tPH4Se5XJ5tUWU+BmGoXJivkgxr1Nr2dzc7GC7viBNpvLksxonF0upo3UQ4jjGDyI0VU7njuV4qLL8sRdJiG7qQmr2dnA84Sh9WHn6TxreeOMNdF2/rR04CEOCe1j8chAurzTp9AXBbugKT5+aRpYlgjDi3Wt1gkCQYaW8wYkjJcIwJAjh0kqT3aZFvWXjBkKaVJYlpkoZFmfyHJnJp/KafhAiIXHxViOVvEOKeebUDNc2OtTbFj95b4sojlmcznNqqcyLj8/xu9+/Qafv0ug4uL5IFA9DkTgmk3TWiCJsL6JcMJmtZNE1mZNHSvzLb1+hZ/vkDC2R+sxzda2N6wbkMjpHZvO89OQctzZ7WK4oKuvbPrmMThBFdHsOiipj6hqPHS0jSTI3tzqCBInh+GIBRVGYq2SZq+Z46an5MRnVCzcabNZ6/Lsf36LT8zB0mZlSll/702dx/TCtpB9KoA+xVR+wsi3k4XVNppDTefXCNnIy9z735PyYzOTtMOzcddBcGdg+F2820ipMEZg5eDEf2nTlDs/QIT4+HGQH/vk3L/PPv3lZ3E8JXnpint/4M+dY2+rSHXhcvNkkY2pkDJXZSpYvPbvIN35yC9cT9mF+KsczZ6b47W9cwvVDtmp9IgRB2Ld8Xn52gfVdC9sN6VsOF262KGQ1/CDizHKZr754FF2VOXe8iqEr6ToRRRGWE5A11VTyOopiXC/g/ZUmjhvS6jp4QcRsJYuhKzx1coq3Lu9yfUMUNKiqzM+/dJS3r9RY2e7R7tlc3+iyMJ1DkWW+8JlFpkomv/Pdq4ShKMT6ymeXODpXYn2nTxjGKIrEuePVZEMu/KOt+oCluQJ928fzQop5jbcu15kqmrx3o87A8cmZOq4f8gtfOMZUURSnzlZzZAwlkXeW02KL4Xe9vtFOr2vuNomnQ9vquAFvX9llqzEgn9FRFIm/+gtPMFvN7pu/33x1lc16H2LIZVR+6UunubbWotMXiZUZXWF5rkC5YKAot18foygmCKNUinT4N8vxubTSSgnZuWo2LQweRXfgcWmlmSb4n1gspYHSO8FyAlRZFFs6XnBgYdkh7g134xOEYcj/83feS6WKTV3h808vsrLdZWWrzZuXa4RhLDpfRTGyFBOEIEkScRjvk8EcQpFEUYeqyhDHaJpKLqtRyRuU8ia/9tUTXFjpUGvaGLqKokj82S+cSOXML6+20mLPjKHydBJIHfrKYVJMMlUymZ/K8ns/uJl2z1yey/Pl55cf3IW8Bxxk0w5xiIeJ+9kbTOL3f3iD1y7sMHB9ak2LUkFnqphhppzhL33tLNfW2mzU+qxsdynmDN6/1eDWZoe7aaiiq1ApZMiYKsfmC0iSxKnlMrOVLE+dnL5tEQd8uufb+ev1VH79dr7CR4WD/ICD0OjYXF/fay7x2LHK2D7ndrhwo7Fn300RONqqD1jb6QEkDQNi9ERe/U57kEPcHR6EHTjEJw//5A/e55/98RUyhsL/9W/8bMrLHuIQt8ODsAWXVpp0+x6uH3LpVpO1nQ6NjgvEFHMGPcvH1BWQJNH1NgyxnZCB6xP4Ifmsju0GyFKMrqu4bkjWVPCjCAk5KQyX0DWFjKGiyDKlvE4uo3J6qUwciYD8Rr1PtWhyc7PD+m4PywmxXR9Fljg+XwQkHj9eYbtl0e27WG5IFIkEvhcfn2O6nOGpk1NjPPaQG/326yt889U1AJodhzPLZY7MFkCK+ZUvnU6LSEfjLJu1Hje3esiAF4Q8eXKKUt6EJJkzimJkSeIbP7lJpyf2Xfmsxi+/fDL1YUaPN8Strb2EJ0WR+Mzp6Tty3QfhkK87xCgepk/gByHvXqunXPdMJcPCdI7f/f6NtKnSkdk8X3nh4L38Zq3P+m4fgFbPYasxQE3mz2cfn+ex43s8+EHzyQ9CYiQkYjRVod1zuHijyXqth+dHTJczXF5pUCqIRnPzU4LHf//WHr91fLGIrspJMqwoPJutiu+Rywg/+P2bTXpJkYJpiBjKQXFmxwu5eKNOEMa0+y6W7TM/JWKP67t9bm116VoeURRRzOkUsjqaIjNTyZIxFaZLWW5sd+gPfB47VmamnOWJE1O8d73Bqxe2WNvt4/ohc5UspbxOHMWs13o0Ow5RwtEcny/ywrlZ/vi1VWw3II5iepbLfDVPrT0AJDRVxjQ0ilmNuakcy3MFFElibafLwAnoDTyMpFnNiaUSuioTxyLRaqsxYL3Wp5k0z1maybE0W6CQ03nq1PS+BLFvv77GaxdFMx5Zgucfm6WQM8TeRJX4zNk59IlE7feu17GSfVPWVHnq1HgS/kHPoSzLKPKdY/8fhG7fQ1Mgk3n0uMufxr1B1/L4/R/cSO3PsYUiX3h6gXbP5cpqCy8I0VWFM0cr+5KfgyDi6nqL3sBnuzGgM/DQFYkoFjYhY6jIkkTP9ljd6iFJEscWClQKJueOV6l3bP7737uQcpYnFoocWyhiuQHrOz2mihmqJYNjC0WmSxlcP0w5Dsvy+d7bqzQ6ItG63XMo5QxkRUrWdgVJGipwi2joTCVD1tTw/YAgEkmTWV2m74Qi16JtEctwa6NDHEv0LI/pkuBknjszy6nlEo+fmNrzd6KY6+st2on/IskSW7Ue7b4nbGEsCjYMXeVzT8xTLhqcO1bF9UPOX6vj+SGyLGE5Hn/4kxVsJ6BreSxM5SjnDYp5nW7fo1rOkDFUbNvn6nqbGOET/oe//BSnlytcWW2lzSN0Tebp0zNpIuVkjH947mEMY7pscnyhlMZoml2Ha2vt9P1nj1YoFz6Yy7hfDHMnRuNEHwe2GwO++dpquoY9f26WJ07scUsfhy0YzrGV7S71ti2UuqOYMIxp9RxubHaQgEJGpZAzefbsNM2OQ9fy6Q08Bo5HFEvYjk8pb7DTtLDdgCgUBYPlgslUUccLIWdq2E7AVNkgm9Gp5HUWpnLc3OrS6rmsbHXRNVEokjU1sqaG6wc8/9gs0+UsuqZwdLbAt95Y5Y2LO3QGDqqqUC1mePkz8yzNl3jt/W12GxZIEjlT5T/+859Jk4YbHZurqy1eubCN44VUSyZHpvP8wheOf2C+2Sg8Pxx7Vjp9N2lkJ3BqqXRgw5UhlzeaozOKlS2RKA9iX3HqSImra+00/r88V0iLTO8GYRK/HDZnqRb3GrUN4bgB791opHNxMfEDDvHJwcfpE8RxzPnrdfqWL9amjIbvR2PKcO/farCy1WPg+EiA7YZMlUXS6YXrNQa2sPuyLPw+1w2QJJifKfDc2VmCIEJO+ISbmx3RpFmROb1codlxsFyP+ak8jY5Duy+K+AqmRhRB13JRZJmTSyVOLpZwvABdVQjCiJuboijLMFSKWZ3OYC9f6ldePkkQgSoLHY33rjfoDRwMTaVUMOgNPDw/SnN5BnaQfAeJd67ustO0IYZiQec//uWnU5tSb1v84U9W0jlaKhi0u47gFhSJr754lGopg+d5lPKZA31iy/FQVRVdldM4iqmr1Ds2q9uCh5ckePLkFIam7Ns/PSj4gch7dP2QCzca+H6Eoki0eg5vX6kRJrbrV79yhtPLd85tGvryA9vn/ZsNgiS/4/RSmXLeeKC5BX4Qcf5anVtbHSwnoJjXOb5QvO3+7iDc3OykTapURebp09MfyTX+MDjIDtxvnscnEZ2+ja7rZPR749I+Kfil/+zfjP3+u7/1Kw9pJPePye/wH/y5s/yFrz7+kEZzf/iv/8GPePdanTgWdvOv/Pw5fvWrZx/2sO4Zd9qXfFC9wRAfqwW7dOkSris2gX/7b/9tfvM3f/OO/x41KIqcLgrDRC3bFUnVvYFHFMVpBWDP8qglVXUD18cPIxw/II5hdbtPHJMkEyp0Rzqn1Nt7lXheELKeBOKHGBKYmiqjKOKfNVJ1GMcSkiShqiq1joMfiC4zYRjTsz0Gto8fxtiOhyQr2F6EhAiGSJLExm6PIIqRZBlFUWh3PEA8gKoiE8UxQRijaRrzU3lMU8V1xfeWkIjimO7Ao9P3CJLrIcsyAzdG1XRcXxDA2w0b2wnwQ+EMdvsePdtDUeRERlgQsSCu7d3CcgLCME4nzei13azvVamHYZyS1vcDVVHSAg4A3w8pJhW4w3tkuyEgJcGe8bEcBEkSTvGo05I19YeiciHL0gcGtUxd/dQVcNwvVEW+YwEHQM/a6/jmeiFeQpA5bpB2yZIkCccLMDSFrKmLrkpxYmckCc+PiZFAkrBc0V1jWEwDoKkKiiLtFXAAxBKSLGG7QbKxkZAlmTgS9qbT98R4fDGGZtcmjsALIga2jxdEyTxWcP0wWZhCdlsWju3Tt8Xcj2PoDDwsKxASfLKMF0Y4XkAYSTT7LlEEUSwRREJkdWB7SXKaTBjFNDoO9baVzAFJ2C3LJ0zsk+X69O296xhFMQPbp9Z28DxRaBYDA8dnY7c/JoU4Of96locsiUBKHMNWrZ8WcAB33dVCucNc6dv+mIxW7w42YGjTD/HJxXvX68iSjCLLKJLM6k6fKAJVVcmauuicHwt70Ow5OH6YFhqASF5otJ10TXD8SMz/UKyrXStgYHuEUURn4Ccd22KiOKaWdHLxRmzFELIsk8/qY8mXsiwCIUEg1kPXD3G8AE2ViaKYvu2zO+JvBEFEd+BT7zioikzfFuPyE7uwsdtnZauLoijouoKiKOw0HDw/SnwOQWwOOz8rsoycrOe2G2A7AbYXYDkhQRjhBRE9y098FEGONtuOsIFJoGW4Jo46wLIsYxrq2HUd2P6BXWrsxLaqikyr66Z2NgxjNmpi/Z+cv/WOLToHyRK2G9LtO/QtX9xzWcYLYor5OxdwDK//ZOKmLEt4QTQ21r7tH2g/hrZ/iDvZjlFkTRVdV1FV+bCA42NE3/bSfQHAbtvGCwJcL6TWcohiIT0rA0EYI8kKsiJ8Zk2XuR1VJUkSQSR8e2QF2w2RJZkwEs+T7UmoioKR+GJhGFNrW4k9kNIEXxDzYRgQsN0gXR8lScL2wnTODzG6H/m4cZBNO8QhHnVsNQaEUUQcRUmHK+Gzdi2fVs9BUWT8QKhkun5Ip+cR7l/axjC0HUEkpGgdL8ByxFx23RBVlu/YoRU+vfPND6K0gANu7yt8VDjIDzgI3cH+/ckHIUz2P0PYTkAQRmOfHTgB1sh+cPI8hzjEIQR+4+vneOrUFLYb8t/8D6/vU0w9xCE+Cgw5btcLaPUcwlDw+JIsM3B9XC8kjERgfZDEGmJiwiAiTPg0P4gTdT+IkQhCCWJZJHDEMZ4f4fuC0wtCwTu4nlgbHS9EkgUv2el7+EFE3w6AGNcThRoD18cNQho9B0WWafU94lhw/FEU0xt42I7g/kZ57CE3urrTR3gqYrytpCkCsTS29xmNs/hhjJbEOTKGhuUI/kJTFVRFRtcUVFVOm+MA9C0/TbKYPN7k9QaxXxp9/93ikK87xCcFw7jXED3LS3n9Ie60lx/lxpsdd+xzO63B2HsPmk+aqqAn8xKEzynJpDGFTs/B8aI0IF3v2MJHHeW3kiSs4W5GVRWiWEoLOEB0HB/CccN9yqJDxEmcEsB2fBErkUWMoWu5uL6waZ4f4fpiHxZEIvm13fNEvCOWKGZ1VEXBcUMUWUob4QRBBLFQWO1bHm4Q4fkRQQhhJJIv+7bgQRsdR8RGAdePsb0AJBk/4XxdL0SSZBw3ZKdhpUUgfdsnjEUimWGobNUtdE3F0FW8IGK3ZaXXd+AIHtVyRYx5dE8wxGZtL5YcRDFrSfxTxHUlNGWcgQrDaMwuimfszmoumqp86AIOEOorj2IBx08rmh17zP60Ex7D8cN07VYU+cA9rarK6WdFHoF4nsNkftpuIJI5Y4kwiRNISOmxNnZ7Y5zlZmMgYghugCRJeGGYNDQK0TRljOPIZjWGDZ8HTjIvowhZlrH9iCCMcL3kny/iMLIsCYUhJJREZaDRdVEV0fhOkmXqTVvES70QSZLoOx4g0eg5gDTmfyiyhO3s2dswCKm37dQ+OX6YXocwjtPPWgmPoSoysiRxZUUUjQSR6DDW7nsgScLuS5KwFTHc3OoBUpL3AatJjsnovfH8CM8PbxvjtyY4FNsNx2I0kzkbdxu7uF8cFCf6OLDTtMbWsJ2HoITQs0S8UOwRYvzEn+1Zfsrxy7JMGMv0bT9ZQzRURcb2QqJI+MBRLDjIYb2SJIt9RBjF9J0AzxexgzCO6VuiIZskSfRsn07fo9Nz0qJt2w0YOAGyLOEHMc1kfkRJsWMYxqLAXFLwA5HoZnuicWyj4zBsVz9wApq9Pb+lO/BwvCjNDfL9iFZy3nvB5LPSn1gvb8eRDbm8251v1I8Kw5h627nr+P9BcP1xH+egHKKBMz4Xe4N7UxY8xKcLfhDhuKJISZFlGslaMsRasl6K5goSnb4nGsvF4pntjjw/nh/iuCGarqFqGrWWTRyLPYAkSdzc7CSxfzEnrq+3yZoq06Usthuy2xTF4Koss9O0GLiiKFlVZdZ3+0iSlPoGa7t95KRhcRzvrUuQ8BIDL41tW47gHHIZA1VV2G1aaV6AnJxriCiK2apbKLKEokgMLJ92f0/pejf5Tun12RLfSVFkJCR2m0IlvZTP3NYnzpp6WgA9jKOoqjxmR+JYcBMH7Z8eFET+l0wvsePDnIybW930PsVI3BppDH7HY8kSfctDSvKk5CS/40HnFtiuiFsMr63tBHfc3x2E0Ws9XIMeBdxvnscnEaV85pEt4Pj//uGFfX975draQxjJg8U3X9942EO4Z6zt9JEQeysJiTev7D7sId0XHsS+5GNlmP/CX/gLXL58GYC/+lf/KtevX/84T/+xYtjRMmOoIAnSSZElMqbY8GZNjamiIB9zhoamyJia6JJ7dD7P6B6gmCyGQRhRGelWIMWiitIPRpOWQ2wvxHI8HC8QSZlj5JsgGnzfp5zT0NREYp2YQlYnl9HEcSWAiKyuEAQRURQQBD7z0zlURXTdD8OQmWomTfoMgoggCGl0LFxXkJdBEBFJkegSBsiSRDGnU8rrqUy7LEssTecSCXgh8z5TMcgYSprcUC4YVAtmcu1UQHT3iuMYw1BEUniCIIxuu7hnTTW5ZmKzObxPYRgxP7VX3SjLMFfNcJBQzTAB5oOgjQRwRjucDjtsZEzxbGSTZ6L4AJyeMIweaGDZ88MDiVlBIB0GsO8Hw2s3+WwVslr6s6Er6EnAQ3R1EH+P45iMoaabrkJOF8+QoSJLkDFkdFVCk2WyhkoYx5i6miR9iWfD9yMUWcbxfDwvIJOo7IhjJ8UmcUwcRxRyOnlDyJgOZY+LWQNJAlMTkshaopIRhn4iPwyKLDNfzWIYCqYhE8UREJPPqGhqhBQL+5XRFSTAD0MWpjIYuoKqSKkdyJk6uia0PsI4IpNVWZzJQRwjS6BpMtWiiarIeL6PH4QUsnr63MqyRD6rUS0aycYoJo5Et93FmRzxiHc8Of9G56wkiQ61o9Hkcl7Hcu4ikeoOc7KQ1XC8IO1okzO1fTKBD3pOH+Kjw7NnpwnCEN8P8cOQU0dKYh6GIZ4foKtS8jxDtSCk6k1drF9RHFMu6BiGgqEqWJaHJkcYupjvmiqR0WUyhoqhKcxWMkiSlHSFkpguZ3C8AFURGz/PC6l3LNG1ZgRDWyC6VAp5w2HxhqxItHp20rnJHev0rKoyhi5TSdbhUt5IAnIiuHlkNj+mZAOiU/9kd29TV4UNi2NkQFUlAl8EZ3RNEBiiyFJ0zVQVCSSxns5OCaWqnKneUU5TVeTU1wKx1g5lvYeIojglbgCqJTOVBFcVidlKdsyviGNht6dLGaKkm5Gpi055Q1k8AEOXcdyAKLp7gmGIMIrFfRhx6m/XHX1o+yffN7q+DO/1IR4+8hmdYk4XhYRxzHwliwz4ns9cNYsiSUiyeAYUWXTTjYJYFGl6Efs9UYEgipGAOI6IwgDTUPD8ADdIiMyssBVRHCcdcSRmSpl0TcmP+B0ZU0WRJTw/JGMo6dyI4zghKvW0Qw3ATOX2ynFDDOfNx5kYfYhDPKqYKyfruqygq2J9UmSJUt4Q3bBrHZGE5If4rothiGD7nTCceTJCwVPXFExDRVMlshkNJLGehGE0tq4ObJf+wL3nufsozXlNHfcV8lntYw/23wnDezJc34e+W+Eu+AJFlsZ8k6ypoirymE+RM1Wyxp5Nv5MayyEO8dMMRZb4m//+CxRzOjc2O/z3/+7iwx7SIX4KUEhssh9E5DIaURgQhAFREGAqgivzggBFlikXDGQJXNcjJkSWxP5AkcV+X0Ko/GVMwTEahoIsSSgKIMXoqnjOTUPFNBS0hH+TSNZKXSGK43TN0FWZGChkDQxVYTpRxa4WTSRJdNyVZUkkWGgiVnCQX3BivpDsmUVhRjnhHvJZLeXIJzHJ2RVyOpYTjDWuAZhOuuaGUYxpCI7xTr7J6BqoKNJtz3873CkGcYhDfNwY+n1DFHMGlbyOMbKXn+yAP4rReVYtGWOfm6uMd472/HCMNwOShOu9fUUhq6PIosgqCGNKBZNCZs/vni5lKGS0Mc7ONNSkcUtynkB0/623B/RtD9v1RXOcrs3A9pIO/UKtPghCPF/86/Rt4ihKmtjEqKrgMIMgQpEl8hnBOUoIldOMrpDRlGQcMcWsjqknsUlJdCiPwgjL8TE1EStRFInAD8kYKtmMhqnLSUJ3nLwueNx8VmeqJOylIgluNGeqEMeoSfOYrKmiyEJZZH5KdCuP45hsRktK3iSiKGJpLk8YCb7P0BXmqtmUa86bOpoqYkLyxJ5giKFaO4AqSyzP7qmM5bPaiKpznHb3zya8ahiJdUlOuKPb2VY/ODieeIhPF4a88/B+T5cyKIqE5wcEUcxsJUscx5iaQhSJoqc4vv2etpDTiaI4jYnmMhpKEpPMGEKJBkQnaFMXSTEZQyUMI2Yq2bH9/Hw5gx+EaKpMkHCkruvi+j5BMO43eEFEPqMRRDGGpiBLIndDViSqBT1p8CSjazK6LolYBTA/lUl/BpgqiwTPTt/B8zxmKiZRJMYQxRFZUyOKQio5nTAKMXTREG/YWKOQ03GcgHbfQddV5qrC5orYq5JeBznJofC8gGwyH+2kSehjx8pIkrArURSSN1WiKGK2kiOOhV2K44ijcznCUDTSGqoFhGFExlDxghDX8zE05Y6NJ9Qk1jrEJKcw+fvdcBlDPEq+1Vw1Oxajmat+MF/+IOB4Ab2BTbNjgzxce2Oh2i3FSWxdIZsRuUdxHKMpwmfvDhwsx0PXFApZLS260zWZvKkQRhEQEQYgx8maaaqosiSaz8RhovIkGrxlDQVdl8lnteQ5E89qLvGpVRmqSV6TLEssTuWBmLypISXxSUWWKOd18hmVcl4n8MXzmctqVAt7fkvGUNFUyAz3JprMdDLfh+vO/axBk8/n3XBkB+V5TO4rZiqZsVyve5kHAIamjCV8H5RDlDPH+cxhM9mHjUeJI/40Qai7KWmj2OlyNimmEjlxy7OFJOYgbHi5IOL8EuKZLeY0ojgijIWfmTFUHMfBddx9z/PJIyXCMMT1QuIo5NRSWTSeGjhkDIXZ6t7eYX4qR87Q6VsuruezNJsfs53Lc/lkTgV7+TgJDF2hlNNTv0MoaYlCTd8PqRRNwjAURWtRxHw1hx9G2K6PLEssTIs1MIpjclmNct7Acjw8LxCx0yjEdjzCMOT4ovhOtuMRRiHzU1lsL6TZsVEUmaypst222K51knzD8TTbKIrS3MjJHKPRWOwQd4rhD+fQ0MZM7rNut1YWstrYfTqxUCQKQ7zkPh2fyOM4aBx9yxP+UXY8D+FebdjdIGOI/euQh8mYCTd1D8Uuo9d6uAY9CrhdnsejiOEz8yjiN37+yX1/e+n0wcqljxJ+8eXjD3sI94xjC3mCUOwbwyji+bOzD3tI94XRteB+8bFaMV3X8TyxKX311VcZDAYf8IlHF9Nl4cwMbJ+TSyWiKObcsSmiOKbZdWi0bXIZjaW5PI8dqyBJosr1+GKJuWqWQs6g1XUwdIXZSpbtxoDVnR66qrA0m6PRtfnuG1v84Pw2xazOX/0z5/jxxW0aHYdO32OuagqvIJaoFg3mprIszxV452qNCzdbXLnVIJ/XubXRwQkiVBmefWwGxwm5ttYW8qDEFDIqMWC7oMjQ7fvIsiwSPcIYVYbvv70uKqIkeOXCjpAXjWKeOzfN1VVRtRrLMQvTWRan8vzM84tkNZV236Vv+3S6otL3+EIxIW1hupxLHESFUt7kiRNVTF0s5D3LFd1kLI9ayyIIYzZ2+zx2rIpl+9za7kIs5KGPzOTH7suQcNluWOiaTClXodGxubHRYbqU5dzxGBLidqtu0+75nDteTZ2F89dqvHO1DsDTp6d55szM2PHjOObKaotO0oWsXDAo5PSUdAEhZS3L4tk4faScEqAHyTPeC9o9l2vrbaIoZqpkcmqp/KGOd229TbPjIMsSZ5bLaULvwPa5vNIiCIUTevZo5ROV9PJJhuX4XFppEQQRhazOY8f2rt3p5Qo7jQFhFDNXzaYdXa6vt0XnK0k45fTg/PU6jx+vimMcrZA3NfwwpjsQCjUzZZ3ZShbb8blwQ0h8i0xPUcXoBSGtrsORmTxnjpb57ptrDGwfXVOoFAw2aj3evV6n2XO4eKPB2eUyuiYquLOGQhDDs6enmS5luLbR4fp6m8urNrIEPdtneTbHycUi33pjnSgUnVlsJ6CQ1Xjl/ToyMVlTA2JubXVZ2+3zucfnMAyVx45XUKSYtd0BfhDiuEPlngjbDihlVfI5k2PzRV56ag7bjbi82uTH7+2Qz2hcutXiay8uoesap5ZKlPLzbssFAAEAAElEQVQGtbZNRlNox8I25U2VRtdFkSUMXeHoXGEfwTY/lUORZWzXp1o0yWd1dE1ls9Zn4Hi8fa3O21frnD1W4XNPzB94vz9oTr5yYZsbGx38IOTpU9NsJLL1M5UMJxZLdPouV9fE56slk9Mfck4f4qPFs2dn+CffuEwQx8ihIEXPX6vz4/Ob6Yb39FKJrCGCYhdvtYSEtRtgOT6vv7/NW1dqXFlp4QYhxDGmHlNviQ5Or7+/i66pvPD4LFOlDM+cmeHSrSaaIhMh8ealXdo9h4ypsVHr4XiCZH3pyQX+Z7/4BOu7PTZrA7xAdDHImRpX19o0ew69gctWfQBxjOOHlHIGmirx4rl5FmfybNb7fPPVNRRFYmk2z/H5At2+y27LppCLOL1UYmE6TxTG3NrusjyX55kzwrmWJNGxYWD73Njo4PoBrWT+XbnVotFzCMKY2XKG6XIGUxfr9DOnp6h1xGvPnZ3h3LEqthew3bDYqlvMVrMHEg4A545V2WkO8IOIVlfIhWZMlcePV/H8MLXDuiYzXcrwyy+f4OZml87Ao5jV2aj12W4OOHu0Qs7UuLzSSroDiuKTWALDULl4o4GqSMyUM4RRyDvX6py/1iCf1fj6S0fJmne36e5ZQh49DGNMXaFcMDB19bbSmUPb3+m7qf/g+SHv32rieiF92xM+kypzfL7I7McUQDjEwVAUha99dplvvb6GLMk8drTI73z/Jo7rU84bPHGywrX1Lj3LRYolXP/25LauSqKjY1KIJUngBbEIJqpQ7zjU2g5r2z12ml2+8vwxClmdgeNzfL7IRm1A3/ZRVZnTS6WkM0tMKWfwztVamix2drnMbmso+etgeyFfeWGJm5tdMrrC48enbjtGEOO7dKvJwPbRVJlzx6uPDHl2iEN83Liy0qJj+SLBx1SZqxi0+z5I8OK5Kf6rv/8jtht9obIjIdR74tS1/2BIYLkec3lRoPjkiSmeODFFtWSKNfFWkzgWweZb213eurSLH0Q8dWqKLz+/lPjsd0YYRlxaaT1Sc37oK0iS9LEF2u8Gra7DtfU2cSx4A9NQWNu2yGW1uy7OfOxYhZ2mJQoHpwQPMbm3iZNzZU3tjsl8hzjETzumShn+xm88z//+H/6E3/3+Db7w9CJPnryzH3SIQ3wYnFkq8w//7Xneu9agZ3tYjkhOiGIgthmuBHlT4bFjFa6vD3D9SCRBySENN0waNshEcch0OcPJI2WmSxm8IODCzQY7DRvfDyGG+SmDs0fLtHouP3p3iyiKWN/psTCb51tvrNIf+OQyGtmMguOIZMdmx+brnz/G8myRE26AqkjstmwiYizLx/FCrqy1qbdtpkoZHjtWSf0JxxNqUJWiSafn8OITMxSzGfJZla99dvm26l+VosmZo2V6A49CTufWZpcLNxogwXNnZ9N5+dUXlvjum+vstiz8IOL7b28yVcpw7njlQJ/m6HwBQ1fwg4jpcuYDVadHsd0YJPslkRi9MJ37gE8c4hAfLTRV4fETVeptG02VmatmkSSJr790jMurLQxN4ckTt1/DFmfyqKqM64U8cXKKdtdho9ZnqmxyeqkCjMe+FEUScYmsPh4vyuucXa5QzOkcXyzS7NhIkki2/LWfO8vNrS6aKnPmaIXr623RdCqIKGQ1Nnb7bMkSR2bzXFtr8fbVOtfXr+IFokncdNlka9eiZ3lkTJUvPrPAra0OrZ4r5nHJ5P2VJmEQgSTx1Ikpah3BbYRRxNtX6sxUTLoDnzAU8RFNk+j0Hfq26IZabzt8+bklkCSWprP84aurfK/eh0RduZjTMU0F2/Fp9Bw6lsdsz8T2RJEHwEzRoJjVWZ4VSWj/i197hm+9vs571+roqsLKVhcnCFFliUJW56Wn5sX75wtIMVxd72A5AQVTE130LY9STuPYfIHLt1oEUcz8VJbHX1jmws0m7b7D4lReKHZoCtVS5sD92JefX8bUVGodm8ePVzk6X9y3J7LdgEu3mik/VMzqrO70kCQ4MpPj4s3bcz03NzvUWuJ+n14qU0mK/Q7x6cIwxrDbstJ44vGFIqausrbdwzAU5qayXLzZpDtwubnZJWuoTJUzByYxApTzBldX2/hhKBoa5DNUCgZLswVmq1l2WxbrtT6FrMZ8NUeM6Gr9+z+8SdZUefJklb7ls9uycYKQVy5sM100ubzaIQga7LYdpooZKiWDv/6rTzNdzrHTtPjOG2s0WgNWtvvksqKgqpjT0FQFU1dp9V2aHZvuwEeKoZTTsEyf6VKGUs7ADwLeu9FkYLm8dbVOFAmu5tSREmEkIctQyOgsTuWwvYDdjk2t49DsONzY7FLKG8xPZTFVhX/7g5v4YcTjR8v8qWeO8P6tJnlTY2k+R7WYJQhC3ry0i6JIXLjR4KUn59lpWqxsddA1hZ//U0f5fH+R927U0VSZShLTfOmpOa6td+j2PYIw5uhCkRtbIofi8WMVshmNt67UWN3ucm29TT6j88zp6dsq6gzzBvwgolI0mSplmJ2IYVSKJmeWy/Qsj2LOoDzSnPRO2GlarCT5HUuzeRYn8js+aZifyvGVF5ZZ3+kxVTI5vVz5yM95ba3F99/a4Pz1eprAqykyelLcNHCEfa4WTL707BGmi2ZyXzW26n0u3GgQRTGnj5Z48niVd665eL5oSrZdHzCab2aoMpoiEcYSOy0bPxAq4M2Oi6LI6ElH9lxGRZYkTiyWyOgqZ45VKOV0Xr24jamb7LRtZqpZjs6XWN/tMz+VQwLWa31sx2e6nMMP4dULO3T6Huu1PpVihs8/tZA2ldqs91nf6eP4ES8+PocfRBRzBvmsxluXa0lBiFAxlmWJU0ultCHdB6GYE7kanb5LPqtT/YC163Z5HkfnChia2FdMlUyypsbjx6s0uw4ZQ7ttrO92UBSZJ05Osdu0UBX5QO7SNNT0HMN8socNP4i4dKuJ7QYYusLjx6t3pUZ8iA8PSZJwvJDz1+tIEnzxmUV0VahTmLrCUycrXLxRR1clTMPkmTPTvHF5F9+PODKd5+hsnn/5nWvEMbz0+ByvX95l4ALEZHSJr332KCtbXcp5k0rR4OKNJq2ezdxUjrwh8wc/3iQIYo4vFvmbf+WFlF/44rNH+K//wY9Z3+kjSxLPPjY7Ft8GePdag/7A5ehCka999hhX11q4fshjRyvstm02awOQ4Ohcnp3GgBtbXWzH5+zRCjc22iiyKOr6/FPzvH+riecFLM8V+NqLR/ijV9YJoogvPXuE1y/tcGOjgyTBC4/N0e57rO/2yWU0njk7y5tXanT7LvPVHJu1Hv/jH14iDGOOLRS5strk3SRH8MlTUzx1ajq99o4X8MevrNDpe2QMhZ/73DFOLJawXZ9K0dzHRazt9EROhgTHF4pjc1fkMDRx3BDTUFiezXNjs0sYirzDUl5nZbsHMSzO5Fia3St6yZoa545XU87/6HyeH727RafvsDCdZ36Cs9iqD1jb6SXXtsD7N5ts1PooisQXnzmS3qe7sY33A02VefxElWrJoNP3qBYNsUbcg8LSsfkiGUM0NJ4pZz4ytZMHjYPyPB41RFHE997cSJ+Zl585wtJI04BDPDz8wudPP+wh3DN+7WuPcfFGE9eLqBR1vvbC0sMe0j3D8wL+6NVV2j0XQ1f40587Svku/dFRfKyR9eXlZf7xP/7H1OtigXvllVfY3t6+7fu//vWvf1xD+0gwVcrsM7hhGLFVF8SYhETOlHnx8bl9i1E+o5FPHJc4jsUCmsiUZRWdn7y3nUqEdi2Pb765huOGBIGQD/R80eUhRiQP7zZtNEUmCGK2G33aA49Wz8HxRbeFjKlxdbWTJnLbTkAUQ88KkkAQxLHEVmOArimiil6S2Kxb6LqGH0TU2zbuSAfo81caWF6IqSsUcyIh8T/880+n3/EYsLLdRVMsOn2XQlYnn9Ho2z6SJLrxZAyVp0/vOUEzlQxeEIprE8e0+x7tnsOMmmV9t0ff8tNslo3dPrOV7Nhi3R142E7ITJKosFEbJJWs4vWFqRyVgkGrJ+TUbDdgt2VxZCZPEES8c62eHuv89TqPn5hKZdIA2n03lW6XJIkYWJzeTzQc9Gx8WKzt9tKq9kbHYa7q3bekWc/yaHYcQCS9r+70eDop4tio9dMEkm7yHD2KjsXDwEatn1bd9SyPZtdJk2YUWdpHSq1ud4ljIe9Z79gUsjqSJOF6ITtNi+W5AqW8wUatz2wlQ9/yyBoq5bxJrS02Tpv1NnaiHLPTslBlic36AFNXCaKYP3l7U3TqkmV6Aw/L8dFVBU1VWd8dMD+Vo9l1QRLqE1raDUdndiqH40e8enEbVZGSrkwxYQTffWtDqGwEEaoiPrPbdkQStCITxUKqMJfIYr9xucbP/6ljnFmucHWtxfJskWsbbcJY9JsCCdcPaQ9gZkrliZNTzJRz9G2fnYaVEDQhm/UBV1bbPHFymrXtHj3Lw3FDYlnYuWJOp2cHrG53OXesCvFe18BJCFJl79leniuwPFfgn/7x5dTOXFlp8cTx6oFz7U5zcqveZ2O3j6EpGJrC+et1nn9sDoBay2aummVtZ+/zzY5Dr+p9JJXuh3gw+Af/5oKQSFMhiuA7b6zxuSfn6Qx8qkVDdH3yQo4vlKi1bDw/pNVzma1meedqja7lEwQuPcsjl9VwXJHcMF3Jst2wKOZER7XdpsUvfP4EAD/3uWP80z++TBBE1NsWOy2buUrMdsPCSOTBX724xa986aQgOUieJctnrpphfbdHOW+wVR9g2QGGodDpeciSRClvcnW9zXPn5ri+0QFEsakXhGimhqoqqc36/tsb/NrPPcZTp6d5amTNBjG/8hmNt6/UADEXLCcQxZJNi4yuYvkeG7U+R2bzNDoOR+eKOH7IUVPn2Lwo1KgUTZpJUiPAbtNirpo9MCipqTJLswVubXVTX8l2Amotm4Htp3bY80UnrJlKhiOzRTp9l8srrfS7ru30mKtmUxnLeschl9XJGiq1tk0lbwIKSNDqean0ed/yuXCjyWdvU+A1ifWdfiob73jhXQU3SnljTC1lp2klstkRm7UB1ZLJdCnD6k7vsIjjISMII9o9jxcSG/+7P7gOMZi6RrvvMl3OUMobxDGp73V7SJi6jOMFSImkuSSDrkg0Oz6yKhEEMWEInX7Id97a4C9//RwA3YGL7QbkszpBELHTtDiTBJdEQaGYFwPbx3JDVFVOSVTbCfD96LZFi5NodMRcA+EHbNb6H7q4+BCH+DTC80Mu3GxALPzMRscma2rMTQmy83e+d5NG1yEGUcBF0qfhLhuZKUnRh+9FGIqGLIkC5lxWo5Q3eOvybnqsK6strq61cZOuTlfXWpxZrnB6ufyB52l0nEduzg99hU8aVnd66T3Z2O0Tx3GqfrS207urfbeqyPuaWcD+vc3hvuIQh7g7vPj4HH/6c0f541dX+b/9s7f4v/9nP4upf7IL1Q7x6KLT87i+3gVJwnICPC9EkqSk2dIenCDivet1olg0VYpi8CPB34eR+F1JuLe5ao6ZiknP8jE1DUP3BBcOxMQ4XkitbQNCFWy9btEZeAzsAEmW8IOQZicQ3H4UgyRRazl85vRsGrs4caSM4wW8e7VOFLu0ei61tk0xZ7BZH6RNSa4myd/H5ovs6Cq6JhqwAETxnQP1lYJJpWDieYEo4ACI4e0ruzx+vCIKQCSJcsFElmW2GwN2WzalvMH6bp+zR/cn1kmSlBY83guGXPkQa7u9tCHPIQ7xMJEx1DG1BRD80d3u5UcTiPIZbV8SxmjsKwxj1nf7nDteHY8X9ffiRbYbUC1lqCY+rBdEKVe2ttPDcUOypsbA8Wl2BT8SRTGtrstm3aI78NNmaZbl0+o4+GFMTExGgh++s8WLj88RRjGtnstmvU9v4COIe4kbW11aXYc4jrGdENsLCMIIVZGxHR8kiVzWoN1z0xhmGMWs13o8eXKKmxtd2j3RUK5vif2Orin0bR/bDciaKpYTsFm30DQZWZKF6nAIR2aLGIYqYjAhfOHpBW5tiuNFMUQh5HKC1+tbPr/ypdM4bsC71+qoilDS2GoMyJla0qhF4ZX3tjixWAZEscmR2QLPPXZvHSpfenph7PfJPdFmrZ/yQz1L8LVDlaNLK22KOR1ZEl2dt+oDTh4RNtxyfGotGxD71dWd3mERx6cQfhCKJlF+SLvnIkkS5bzBW1dqDGw/jRW8cmGbEwslOn1PxLck0VV+u2Ed2JRpo9anmNNpdh00VaGQ1TE0lWrRRFVktuqD9Dl0/RBVkfH8kO7AY+D4nDpSRpJsPD9i4Pj4QcTV9TZhFNPsefhBRNdyUVWZP/rJKn/5zzzOO1d3CYKI3bYLkkQcy5iGioSMoYlkwLyhsTLoiq7WEnQsn+V5hVbPZbpcZqvu4Qcxq9sDwlC8R0Li5pbg41VFImNoWE5AMW/guELh5u2rdVRFKBXtNm3eu1FHliUMWeHGVg8vXEv9kzCMKOV1PC+kb/vIkkQ+o/PdN9cxdZViYkd+/O4OxxdFTGVlq0vGUKkUTG5t9Tg6V2RLGdCzPN6/1WKqmBGKbrLMm5d3qeRNbm2JWHTGULi51eWp09NjsQcQnZaH3LWmKmlDwoNQKZr3ZAPiOGY1KeAAWN/tJ9fwk52MeWRmfzPRjxJvXqmxWe9jeyGdgYeWqM0bvprG6E1ddKrvDjzKBZMXH5/n+kaLels07ZRlidWtHuWcSSGro6kq19fbhBNcYxBBzw4IgpgojIgjiZAIy4kxDaHS5IcxuqagqRLlgsFzSdfkQlZL5yzAVsOilBcx0mLOoNlzefz4FN2B8ClqHYt6SzSnKuQMsqbKZn1A3/LImBrrO31x3IzoXP6nnlrE80PeTXJ2bDdgsybWpCgScb27LeKA/bG2O+F2eR4H7SvyWf2+83RA2M1Jv24SuYx2oPrWw8Juy8J2RU6K64VsNwYcnT+4Gd8hHiwsJ+DKSivt6P/axV2eOjWV5sT96Pw2mqZydEH4bqs7PY7Pi5/DKOa193c4lrx2/laDrhUw3N6+d73N/FQufcZ/53vXyJgqGTOJYXz/JpqqoKkiVv32lRpff+kYAN97c41628FMYvl/9JNVfvnl0+mc+84ba5RyOqWcThjGrGx30ibKfhCmMXtieOP9XVo9F12RsWJ452oNU1fRDIk4hj9+dZVcRsfUFDp9jws3Wzx7Vhxrt2mxtttDkWXiGL7x4xt4QZxy7f/qu9fImSKZ3g8jfud7N9L5e/nmLuevt9P9/vs3m7Q7DuVEbW/IcwDYriik+eIzRxjl4Yfwg1AUcCTfaXW7N7YH22laOK6IzzhuyPlrjfTatXsum7V+WhSyWRswV82ONaMoZPWU8/9X3706ZiPeeH+HLz+/nN7ztd1eOo53rtTYbVlIkkQYxrx9ZZdfevnUXdvG+0XGUDmePHf3A1m+P07nk4B7WXs+idhqWGzUxPochjFvX609ckUcv/udq/v+dvXqVc6cOfMQRvPg8Ff+q9/jn/wffvFhD+Oe8G+/f4NKcc9m/rufrPIbP3/uIY7o3nF1vUM7yTN3PeGnfum5ey9G+VijTv/pf/qf8p//5/853/rWt5Akid/6rd+67XslSeL999//GEf3MSFRrBjGXiRJuqtqQkmSUsksSRKyZqMwVBnHDZGkJN1ZxC2QhjpMI5+Rk/MNHY3he8TmjfT9xCMqTsnvw88iScl5kvFLpJ8dvkfIiIWpbNdBnRuG75XSz0gTfz/oWjD2GUne+8zY+yWYPOVkMEWWpL3vlGBS/mz4siyPdzyVgEn6YPJYk79/lNh37g8ROLrT93iY3/FRx+Rc/6BLN/p+ifHne/T+ps/+cJ4mRMzY4aXkfYzMVUBBSp9jSQJZktM5NTyClKjjjo5HlvfmzuQzoCoSqizjReHeuBi1J8JujM4f0VF85HipjWHsw0O7JklSeg32roW4AENiT5LEa5Ikvmty2IRM3fvIvVR0g7BlqfDyiO2bxJ3m5GR3wYPm1eS4DufaJxuqOnlPk/Vp5Lapiry3do2sZcO5OclJS7Bvnk2upcPncfh877MzgDJ0DuLh+UZ8gOHPI0NN5+KoX5B+Lxl14o+Tv09CGjn/cE6O+jESQ3+IvfNOrOkH+UsfNCUml8HUBoy+Rx59ff+cHbPDw2ucXru9ezMZUJj0Je4EafIa38f6nT5PQ7s98fdDPDxIw/8kDqSQKxZEvyiUlvf5kx94TEna34J/8tlmfN2YnEOTz/b48T+cX/kgfdJDHOLTjMm5Nukfqqo8ObXv/RzJf4ZrzZgPPzI3JXli3Z3Ye9zxHIdz/oFh7J5IEHOw3T7EIQ7x8eKv/fJTvHV5l636gN/+xvv8R7/y9Ad/6BCHuA/I6pD32ufepxi+Jo3sMcZeleL0PbIsocjJnlWWkJS9Y4CEJMkossyox6FI4/tZCcEL7O05h3uNibFPcB3DY45yGGPHlcZfu2v3QZbHYiuCtxjygAm3kXILe+95kBihOMTvD/TohzjEJxe32+vv59qkO74fxuf/JF+nyJL4l5Jb7MU2wjgp0djj7Ub5xOF5oySWKctC0XRIvAzPuxf/2NuX7cUxhdFTFHkvxpryuAm3yuh3H+c4J7//JG84xgOO2tzh9xjhgKMo3hvXKNco3YPdvAfsj5+O/zz66iRve6fjHOLTgb11dvhsi78fFK8Q7xe/782Jg4876UOM/n/o06Quz8R7hp/VJuNtt7FPWtIRXpbksdcnY43CtsQHPvPp9x7GIffFT8bPrUx8//T11FeSiaI9CYRhU7zhh2RG4xHjx0zflnxkNNYLQqUhOVn6uWD03NLe9x1940H5HB9lvHLIW8dp8syhf3UQFGn8PkjyHn8n5srea4am0CcpQFTkCQMunhkpGPHFEc1j9n7fi9FL0l48Y/j5dD/Cfr9+X6xMHs/FkZjYIyRrsCJJRAgF8mHsfXie1PdP3ivJ48e705r0IHG43t0Z++NMh9fn44IsMx6HnBBAmYxZK7dZNwEUafzDk7dx/xyXxxpPmPre53Vtvz240+/aGGcwvvEezf8Z/exenuFEbGXkd3loWIbHlset3uQ41IlczDsFcffFdP7/7P1nsGRpnt6H/Y436c31pure8qb9TPe43dnZ2dnF7GKxhFmACACiAEoIwkgRJBihgEQhKOkDQiIZEiFRAhQESDgFAMJwsVgMFutnZ8f2TPuu6i5763qT3hx/jj68J8+9eetWd1W76u7JZ6KnKrMyTx7zmr99nnesDxi/pnfLpcrK8fs17g+80xxT7jv20TjPuH11/HcfpcZhgh9P3GeLfgL3w+LU4z6DDwc54+PT3PmwOF7/fnzv+CTgeLnce21G/0iv/Od//uf55je/yT/+x/+YJEn4G3/jb/AP/sE/OPG/v//3//5HeWofCboDnzubnVQZIkFRJM4svHtnoSRJrC6UsoGrqwqfv7JA3tKQJMGQ8+VnF6iWDFw/olzQWZ0rMl216A8Dfnh9l3rJ5DOX5lAUSUgPlyyWZwuUcjqSBHEc8cUn5vjS0/MAaIpg6SwXDPG7iSgiObtcolY0iKKEJEmoFk2iJMZQFWZrOXRVRlEkVEUiSSJGfmEiJTxzfpo7Wx38QCiGfP/NHd6+12Rzr0fP8XC9gJ3GkCCMqJVM/DBi66DPN1/aoNP3CMOYF6/tcO12k37KVD5Xz1EtmpiGwvJMgaXpAvvtIbvNAXO1HLIssXXQ58Z6i7fvtdhpDNLJI0ySOImR5JSbRxIy6suzhey3ozhmppqjP/S5vdVlebaQFZ++cGUWWYYfvbXHb794j5sbLUp5g+mqjSQhJM5O6DZMkiQ7pxE7zXEEYczdbSFfOmI1fTecmiuiayKwPD+VO1Em/mGRs8S9lSSxQB5lR1mcyQvmcwnqZWvCqPMIWJopYJni3tVK5onSc52+x831Nms7XZZnCqJ4S4InztaEaockuqhnqzbtnvisF0Z86+VN3rzVoDfwyNsaz1+axTZV5mo5Zms2c7UcT52tUyqYnJ4rUSkauEFEGEVs7vXpOx4r8yW+8pkFZqo2QRgSxZGQ4dRUnjw/Rd7S2GsP2W4M2GkMuLnR4tZmi0rRQJKE/PfyTJ5CXmematEZ+BiGykxFKM+UcxoxIElC8u/CcgnPj3C8kKXZAvd2O7x+64CLK1Vma7ZYB/yIIA4Jw5gwjDF1mdOzBc4slFJZboMXrsxSsDV0TaaU0+g6Aeu7XQxd4dxShVOzRWan8tRLFuW8yZWVGmcXy8iyxKnZIoossb7b4+Z6m1bv3VjQ4XNX59BVBUWReOb8NLZ5MpPG6SNzcq4+PidnqjbnT1WQJMFu87UXTqGlz3pxOo9pqPd9/6Ng0+g7ATc32tzd7masWxM8HP7TP/kssgx+KBjhvvTUHNMlm8WpPLIskbc0dg4GfP/1LW6uN3nzbhPTUCjnDZ67OM1sLUetbLM0WxCKOgUDy1TYbw8p5bWsaPviqSo3N9r0U3WI5y7O0HcCCrZOtWDQGQTM1GyKOR1Vlvi5z52imMqay7LEVMXi9HyRvK1z9UxNSI6ncy5v6yzO5CnnDQxdQldkfu1bd4ki0ZBl6DJJEtN1fGQJ9loDHC/A0GUhP94Re9r6bo+/869e5e/8q1dZ3+2hqTLTFYud5iBjG5+t53nqXB1dk6kVDc4slhi6EUszQiZ9cSrPwnQ+G/95S2NpukCj67LdGGTzdmu/fxjcT+F6Ibc22rh+JCSXJRE06g18wiimMxDsfIoija3DxZyObalsNwa0eoKpr9F2aHVdXrt5gOuHkCQ4bsDCdB5Nk9E1GS+IsAwVWYJm10XXFK6uVB967CzPFDB0BUkSa8OIKeVRMFfLUbB1ZEXizFKJatFEUSRW54WdOZjM7ccGRZFZmSuJAipF4pe/eo5iTiMhYWGqwFzdplYQ6hia+s5BjiiOcbyQJEqIkyRtmpRAkqkVTUgSFBk0VSJv63zm0gwDxydIFfpkWSKIYixTZapicXuzw62NNvWyKfYYCSpFg3rJYq6ewwuEPRwnccYE/zDIbBwJbFP9SBnJJpjgkwRNVXjm4hSmrqDIcPFUmZylMfQCSnmdP/aVs+iaQhJLqApYhnxf4cyDIEsQJcKvV2Wh8NfuOey3HF67tc9ba03majkaXZf1vR69voeUJPQdHz+MuHKm/tDMOe9nzrteyO3NDrc3O2Kf/THHylwx8wlW5oW/I0kiFrMy/95ZqeDQz7y30yWKH1LOZYIJJgBEjOyv/PLTAPzq798+VAGYYIIPEFEU0+n7nD9VARIsQ8UwZJJjBYQJggDC0FViEpJEFBjoqog5xzFESYyqSsxWLfKWhuMF3Nps4zohkiSOXS+bXF6t8pPPLPDspRlsU8H1AuIkRpYlakXBgjs/nef5yzPomrBXZus2tbLFbnOIHxwWPeiaInINeaEsOVOzsU2V6YrFna0ONzfaLE7lma3l6A8D8pZQxTwpjn00Lt4/FheXSFiYytMZeCQkfO6qYJUPI6EGRiIKPyoFk9lqDstQWZz+YP2RUa5mRKIz+vsEE3xasNMYcGO9xVv3Wtxcb7ORqk0fzX0Z+mHua2m6kOWLDF2m0XbZSBVqcpbKxl6PmxstdptDojihP/S5ud7m1kaLvuMzW81x4bSIk49iF/P1HPWSxXTVopwzmKvmeeJMTcTITRXb1PjDX1oRcVRT5dRsgWcvTDNXswmjGN8PURSYqZi4foCUJNQKBuW8ga7JrMwXWJrJY2gK55fLLM8VSBB+lG0oNNpDGp0hrh8RhBGVvEmtZCJLwi6/tFIRLLmJRL1sQgKOF9Ab+nR7DjfWW5RyGq4fsnXQ59WbB+hpXrhg68zWbQxdZqZqEUYR/+w33mJrf8DSTIG8rVMtmlw9WydJElpdFz+M+OKTCxy0HXabQ6YrNtfuNvkn//4tvvHtO/h+9I7PFISK0OZ+n5vrbZrdk3MgC1Mi93fQdnDckJX5w7XuqfNTVEsn+32jtXb0DE9SW5jgkw9VEc/W0BVmajaz9RyqKvPZy7PM1XO0eh5+EPGTTy9SLZqUC2K+BUGM64fM1cWYSRIxFm+st2h0HJZnCxiaQr1sIsvQ6fuUCwaqIrO2I5S2N/d77LWGrMyXqJdtWj2PgRtw0Hb49qtbrO10OWgPRY2CDNWiTpIk1IoGhiZj6CqGJnNmqcxrNw+oFg0kGRan8sxUbRbqeQq2YAIvFXRqJYPN/QGaKuL/pbxQGViYLjJXz7G20+Hmeovtgz7EUVa0EycJmi5i8ZYmk7dUfuKpOabKFtMVC9tUWZ4R65ZpKARhzLmlEr4f4vohS9M5rp6pkSBiv4v1HLquYmgKZxZFXjcBLpyuUrTFNUoSnJot4AcRC1N5pqs2xZxBtWTyE8/M43ghQRihazJPnKlRK5lire46bO732W70uXiqQq1koqkS01Wb3eYhm/4I71Q38EHgTFoHI8sSK3OlSQHpCXj+yhwrc0XKeZ162URXFVRN5OYXpvJUSwaSlFDIaVw8LWoKhm6AaWjUigZJkhDFMQVbE8pZXY9W10HTpDHVX1kCS5cp53TRYCNL6LpQq5FlCc8LiCJxHEOXWZkvcnquyNZBHyQ4s1hmdaFEs+ey1xoyVTYp5vUsB3Z5pYqqSvhhjCILVe/u0KeQ18iZKvNTOa6u1thtOtzZ6rAwJep9OgMPSYL9toOR+h6SBDlb5+kL00BCu+/RH/j86K1d1na6RNF7z4VtHwh7aK81zN5bnM6P1XlUCp9cFvUPAzPVHMW8ntWyzNU/mQz5n0SYukq9ZPDtV7f43hvbXDhVJk4SXrt1wJ3tDl+8OocfRtzZ7uD5ET//pdOEUUyr5zJVsfiFL6zQ7rk0Og4/+cwCy1P5rH7uK59Z5PZmh995cZ0Xr+3wxavz1IomkgQLUzn+5NfO0O17HLSH1EoGn7l0qAL4+ScWWJ0v4PshSRzzx3/6zNh5P3N+ijhJaHZdSnmd+akc3351K605cLEMhT94ZYvvvLbF+VMlCrbGXkvEIp67MM1U2aKQ06iXLf7wl04ThDGtnsdUxeLZC9McdBx2mgNW5kvM1CzevNPg5kabn31+iUJOZz891p/5uYtj1/RHv3qW/daA9d0uS3MVvvz0Akn6vy88MYesylk919mFErM1W+RXCwZPnn1wZbimypyeFfUaqiJnqnYjzFZtbm22+b2XNri91eHpc1PZ2jldtbl6tpbtladni/cVCTc6wg/Z3O/z5WcXjlxTns9cmGZtp8vNdRFnORrTePbiNBdOV5EksA2V5y/PsN8Sx8qUQx4BrZ7LzfU267vCj5zg04fZWo6cqfHGnQZ3tjo8eebh62I+Lvjy1fsVNz6JKhzHevb4O/+Hn3ss5/F+8Cd+apUojukOPHKWytc/t/K4T+mRcW6xwvxUDiQoFwyePl9/T8eRkuOVbx8R/vpf/+v85b/8l1laWnocP/+e8NprrwHwxBOPzrjmBRGv3TzINqlqycykxB8FRwNssiyxNJNnbbuHF0Ss7XSZKltUCiZTFYt/9htv00g/a+gKf+GPXGW/eehozNdz/P4rm4RhzG5zSLlgUC2aIsgZCDncOI65u9tjtmpj6iovXJ3lR9f3CMKYds+jmNeYLudo9lzypkbfCajkdX749j6GpuAFERdPVZiu2uQsjdmqKETu9D1ub3YYuAGdvsfqQolbGx2qRRPLULm8WuPuZodhGiSwLY2l6fyhZJoEP/PZ5fvksV67dYDjiu+IolGbzf0+Aydgc7/PwnSenKmxMJ1nrznMChltU+XqGTGJ9lpD7m51s2MuzxbY2Otnz65cMDIJ9hev7XD9biv77Fc/u5QFoh6EncaAezuHkuvnlyuUjzl519eadFPZNUWReOrc1MdeNvTHBT/84Q/Rdf09rQPvBtcPee3mQRYsqZVMzjxgnXC8kNdvic/++nfvctB2MHRRRPyX/viTmeThg3Bnq81/9z+9wiCdLwtTOf5Xv/QEs7Uc335tk99/aYvewMcPY54+X2eulsPUVd6802S/PSSIYqIwRlUVcpbKVNnmqXN16mWL3/rBOp2+R98JWJwWQdB7uz2aHZe9loMiQ8E2yFkK3WGApsi0ei62oTE/nadkG/yRL6/yf/sHL7Kx1+Wg7RLFCcWcRilv8md+7iKff3J+7HriOOZf/e5NOn2P/Y6Lpat87uocc/Xcu8qNrm132R2tjRJcXa29ryaoTyrCKOaVG/tEqW5uMa9z8dQnz+D+KHDSOvArv3eDf/V7twEhh3l+ucrXP38aXZO5dKrK3/5Xr+L6Ee2ei+tHPHdxBoAvP7t44hj97//n13h7vU0cJzhewNe/cJogTLK9TZYlnjpX5+17otlvtzHg+r0WM1UbWZJ45sI0V1Zr7/ka//a/eIXb6V4oS/BXfvlprt1tsNd06A581nd7nF+ucGe7Q9HWRSOnrvAffPksf/N/+F62tuRslf/iz3+OV27sZzLDOUsbO7eHnYOjvXHgBGw3BqzMF1FkmcWZPPNHkkCv3jjAS4tJTEPhykqNV24cEEYxBx2RhBzd80sr1Uxa1PVCXkvX1a2DPrIkYegqr9zYY6YikkP1isX5pUq2N1+728RxQ7oDj4O2y8p8MSvoqJfvl0p9HJjM7Q8P78cmeOXGPt2+x9puj7WtLp2Bz9Z+H8fzOV7HbGkybhiTJIfMUjlLpWAb6KqEpglxRVWRqJZMpsoWiiyTszSWZwpZoxeIOfHk2SlevbmfyfLqmsxT56bGWFt2m0PWtg/t4XNL5Unj7gQTnIAPyjfY3O+zudfPXq8uFPlnv/E2a7s9kkT4tqMmv1ubbSHLmkAQxUgkHKmhRJYE4145b+D4IWEUo6syCTBXz3N+STSLVIomlYLJy2/v0+q6KcudxOeuzDBTy2c+74eJV97ez/ZsQ1cyufQJPlgc9zPrZeu+JNEE7x0fZoxggo8X/tY/fYnf+P495uo5/tZf+ylM/SMVuJ7gY473uxbcXG9z0BGFSp4f0R543N5oM3RDekMfz49QZJmEmCgCQ5ORZZlyXqdg6/TdkN3GQBRZqTL1ssXPf2GF/daQtZ1eVlg5U7V59uIMn700w3T1sFH7R2/t8Y1v36GTxqPPLJb4D792AdePMr8gThL8IMrG/nHf/iS8eadBfygaMVRFZrZms3HE5jnJz3inuPjx4z11ro6iyLx9r5XJ1suyxJNn6+ja8VTmBBN8uPg02AT7LbEOOV7A+l6f2WqOYk5/qBh73wl4804jo3Sdq+fwg4jvvL6dvffMhWlub7aztcbQFf7ol89mCsd3t7vspTFCSYIrjxin/83v3+Pa3SZDN6A78MhbOgVbw/UjptOY6cJUnpylceFUhVLeIIoTXnl7nxv3WgRRTHfos3PQp9XziOOEStHkykqVM4vCP+r0PbYbAxodF8cNubfTRUqLWntOQDFnoGsKz5yb4ukL03z39W2GaZzU1GU+98Qc1aLFmYUS//jXr2eFUaau8B/9wmXKBbEmXrvb4IfX9rJrm64KgiqAdt/lpbf2GLX4XzxV4Ze+fPYd7836bm+sCOvySpW8fT+RzNFn8OOcK3mv+DSsA4+KozF1gKmKxcp8iVbX5cZ6O/vc8myB2VruvvjHKD5/fC9XFQk/iLmz2SEBVuYF6UECDIYB33tjhyCO2dzticaSao7pioWmKjheSLPrUiuZmLqKoSt4fpT9OT+VI2/pD/zt77+xTS+1N0xd4S/9sacEWRSw0+jz3/7Tl3G9kN3WEENVME0VOUlo9X1URaiEnV0s87MvnOLUXJGZqs3GXo+t/cM52Oq57LccGh0XLwiZn8ojI3F6vpjZWmFagD6Kl/hBxKtHak1MQ02Jp8Qxj6/VD6pH+Ge/+RZ3juR+/qNfuMJ01b6vxuKpc1OTRtX3iA97LfiVb95itzGg1fPQVYVLKxUUWTQctXouqiJTsHVubLToDwO6fZ+NvS5hLPYxUair0eq5GKnNrKkyC1N5wiih3XeJohhFkZmr5YlJ8P2Au9t9QRiliabG5y7N8vmrc6zvHo6z1YUSd7e77DQGtHseOUvU5Yz2kxvrLVpdMd9++8V7JImYd5oq8xf/6BPkLZ3Xbh5kjUS6JjNby42N5ZN8iLXtLht7Pe5ud0mAUzMF5qfyD6yzeCdMciMTfBD4KG2C4TDgf/+3/yCLs9umyrMXprO92dRlXP+wqWlpOiWeBZDgh2/u0k3JI3VN5nNX5jOC6SCKxJ6RHuvCqQqfvXzYqPF//fvf5246PxVZ4j/9089m864/9PnVb93O8tMLU3m+8pnD+tDje+NOo093IPZfWYLt5oAwTPc8XZBRjK5pdaHEF47UCx2vNVBkKfvdMIr4zmvbhOnrvKVSyh/O6YunK2PNJ//kN97K1gBFkXj+8my2N4vGTel9132ehO+/scPv/HA9e/2V55Z4/srsO3zjEL2hz7U7zez1/FSOxelDm+B4nekTZ+vZ+n8crZ7LjXvt7PXIhnsYDN2A128f+oQzVZtTP8YN3p9W32CvOeTv/9objHp0VuaL/MmfufB4T+oR0W63+XP/l98be+9X/5tfekxn897xi3/tV8Zef/mZWf7zP/vCYzqb94bf/P4aP7x+GPv4pZ9Y5eLKe69z+zjiYfsNHltV+N/8m3/zE9XA8X7heuFYl+HICX5UDL1D9qk4Tmj3hDEVBBEk4KWMK0M3pD3wss96fsTWXm/sWHttJ1XUgChOGLohXhDhBzH9oUecJHSHASTgB8Kou7fdEY0PSUIUJwyckIEbEMcJXhgRJwnbaUf6KLjQ6npEUXLk3ALafS89b1GQ1mgLg2HUVLHXGGYNHABDJ8gYvgFIOJEx/ygzRBDG9FJjc2Swjs6hN/DHmKiP/tbxZ9Ppew98dqP7P0Kr5/FuGB47/tFnmr3nHH4mipIxZrMJPr3w/GiM7WLoPXidcLww+2x34GcyhXEiisDeDZv7/cxREccIsrG53xRzLUwlfDs9n6EXEYRxOt/F/HID8V6QOk/NrpvNgSCd/wMnpO8EhGGczU/Xj4iSmN4wwA/ENTtuRBjFhEGMH0YMHNHgFUaHMqlhnOD6Ie3++LwTx4xxvIggSlLmq5A4ju9jizkJY3My4aG+82mEH0SZMwv3r1UTvDPubos9NknEvtpOHWE/EMoPbrr/+GGc7UnAA5nP9ttiL42ThDiBg46L54fZPhbHSaZkAyJRGscJcfoMH0ZV5p3QOHJecQLbjUGWYHW8gChO8ENxPtm1+REH7X7WwAEwGIZ0UzWtEY7PsYedg6PPeUFEHCfZMY9+P4qTsfvrehFeEGU2iedH2T2E8T396Lrq+RF+ENF3PJIEwigRa6Aj7oGwa8Ls+54vfmPEbD10H05F66PAfXPbmcztx40onb9ear/3HJ8kSQiimPgEcqgoiQ91bRFzMknA8wPcICYMBTNknKQ2bhATRnE2V0b2MIg5EYZx1sABYp06ahPA/WN48DEa0xNM8GnE8TnX6Dj0nCDbl0QRUurb+hFJLNYSEgiPuYoj/96PhG+fxBAj9jLXD/BDMedHdvvQDcQeFiXEccLADd9zvOJRMFqnRvD8aMLM9CHB9Y75mZM1fYIJ3hP+wh+5Sq1ksn0w4B9+49rjPp0JPmUYegFRlGRx4MEwwPdF3HwUv0+AOD6Mk8WJWNPdIMoUrZIkIYpihm7I0A0ZOAFeEBHFgtHZCyI8P7zPvm923My3B8Eg3e55Y3tGFCVjyhgPs58c9dfDKKY3GI/pnRT7HPPxj8XFjx9vFN8/arvEx+ICE0wwwcNjlKvyAhGHGM2lh4uxB2Oxi6EbCJ/jyHvtnkvnyDog4orh+DFSJAlj69LDQMQgxXfcNLbnemIN7Kb50tE1jdaTIIjwgjDLZ3QHHkNX5D3iBDwvotF1idOAjeuL3EWQxmL8ME7XHRHTGeVpthsDokjkJ6IoJowivCAmCBKGrvDLukfuhR/EWd4UoN0dzzXutw9jtQdpbneERvfd85L3xWMfGH89srb/GOdKJnh4OH54zN8UY+b4GBuNpeP2w+jzx/fyzsAnimOCKM5iFgNHzJ2BGxAnCYOhT5yQ5Si3G2l9Qjiaz2KOjRpAR+rmR2spTvrto7l+14/oO4dzdetgeGifJOCmf45spFF+oH0k5nL0t0bYb6d52EjYe72+yPMGYYwXhGP3aRQvcY/FTdrH1tjj9t2D6hGaR9YMkXtySJJk7D4EYUx0UqB6go8FekNf5MMBP4zopzY/iJqkbIw7IZ4fpn5AnP09jsXYjOOEKPU3vEDMN9cLiaKEIExIYhi4PkMnpNMLiOM4y030Bj5DJ6DbH9+D2mkT5OgcvLTR6HANOBxnfSfIxlkQxrS6rhiLR9YPP4izpqoRTspVDN1QxEETMhvmneos3gn3rVOTvXCCjzkaveGYD9zpe2N7825rvGZgVIMAQMJYHZ7jhvScw3m933LH9prOsTl/tJ4gihPuHWnqave8MZu1Mxj/7vF9qtE5PFZ/GDAYHv57s+uMXVP72HkMjtmw7SN7eavnCf8mxV7bOfrV+2v+jlxTGMbstw4/3x8KP2CEDzKPstscV704qgT0brhvz3+HmsQ4TnDfqQ7NPdmGexg4XnjMJ5ysn59GHHQcjqbymg/hj37c8NZ697737u62P/oT+YDx6o1PnoL4QXt8j9p9hLXv04YJtf9HhJyloWuHt9s0lDEHwA8i+kM/c+4fhErhsCNUUSQKtkoQxjh+SBQnqKpMEMaYusLCEYm6Uk5jcTqH64W0ug5BFLEyV8DUFYZeIKTUdQWJVCbRVJFIKOcNkiQiimKCOOKZS7MULJW+GwAJspQQhhGKLNh/NVXm4nIFRZbQNQVZhrm6LdiyEtJrjNEUiTCKkWWQJYnpqpUyfwrjbnWxxFTlkME6b2uUciZBEIrAiASlnJEVZQLc2epkgdTRd6YqVvY7SZygSBCGETlTRdcVXF84r9Uj97VcMHCCgO2DPkPPp2DrKEeYJspFoZrh+iFTFYuRmI2iCJnnd8NRaUVZlijn75darBQN+o5Pq+dhGepHwu4XhLF4Pu9DWnKC94ej60QYxZiaMjbGj6Jga/Qcn/7QZ66eQ5Yk4jhGU2F5ukB/6I85EMexPFPE0GUkxNyoFg1ypsLACVieyRPEosgzTmLmp3LUSyaGrlArmygK5AyVnKUhAb2BR3fgUy9ZtDoO+60BcZQQRjFTFYtaOmcMQyGMxfokk1AumBRsnThOMA3R6R1EEZIkOKROzRVQ5ER0tEugyjIFW6NWNjhoDdltDDKnQVUkcpYGSULgR1iawm5ziK6Kudt3ggc6I4WcJpIpcZyxkxxHHCd0UhnJvhPQH/oiQPUYCqC8dL/4oIvcTF3FMg7XmuqEVeSR8PyVGUhisYZKCfNTtkgOSglb+z0KOcFYZpsqeUtLG5gSDF2hfULDxdmlClEcE8URhiqzVM+Tt3VkSSQ8lXS/LKTHKtg6hiYLZgwJ8pbGQXuI64fsNAa4vijeOOpoh2HIG7cPWNvuZHaI50fsNAYsTR+qSukq6KpEOa/j+iGqIqOpYv/OmRq2oeKHkVgTEol66XDs1Esmrh+iqUf20XQfjGOhBKbIkrBlvIAkEYnM7pGi8yhO6A99Cra4VkWRMDQFLWWIODpWVUUwlXvp/l4uGJi6ip0yihRsjbwtnoUsSxmrOUDe1tFS5r+8rWPqCrYp1mVNFXLRI3UNXVeIooS8reH5IaoqY+hCAj1K4ow171ERhjE7jcGJ13+0cCWK4nSdf/c9+/jcrhQnEs+PA0M3yPYMRZYo5XUsQ0OSpHSe+EgknLTtR9FhzCsBVFnMH11VyFlCSjcMYzzPJ2cI+1uWJfKWhqIIpirPD3G8AF2TiZNkTAWucGTsj1ApmCNCRySJ9zymx67jhLE8weNDq+uy/2McCPm4YbSX+WFEb+hTsA3KeV00aMUJtYJJKScULQ1NJiEijkXzoHQsqpMAkiyCPbomIcsgJQmakqDK4rVlqMzVcjheQKVooMgSigKGrlKw9czn/TAx2rNHKOX1CcPjh4S8rY2t8xM7f4IJ3hvylsZf/eWnAfjV37/NG7c/eUmRCT6+qBRMkkQ0WqqqRDGnZX6sLJMWKMZEaX93lEAcRxRyBpoiYeqKIJUgQQLytvCD62WLoq2hyMIPKdg6YZzw1t0G19YadPsu3YFPzlKwjcPfmypbzNRsijkRBwijOFMGPXrOR3HU5xmhWjTpD306fQ/bVJmq2mN+RulIXDxM/VzTUFKShZSwJvUjgjAa28NsU83UNo76uYZ+eC0TTDDBw8MPInRVxAxsU0VRRFwBuE9J/iQUc3rG2AtQKZrM1W28UJDQxElMpWgyWxU5tCCMhB9yxJ85OsddP3zH4qLj594f+lRKJlFKBFWwdXK2TpTEdPoupirjeiGWrmaM3yJGERJGCUmqNlTJG1SLIp6YJDGaLjNXt8X6mySoikQpb5AkIv+RM2VURRL3TAYSkW85s1QS/25peGGI60fkDKEIUCmaDN2Acv7QHyrmdeoli93mkHbPFWz6R9bLs0eU9KYrFiRk+YEzi/er7O23hmMFaEfX7CiOUWRJEIocywuOnkEQRgRRjCwdFrMexiM//LjOKEbaH95P6DXBxwt5azyuOMqBl/MGI9HfKBYK42EUj81z0WglSOCO7+WzVZtBWuBt6mJNCqIIzwsp5Qx0TSZnaqKmIc0vPrFaFbkDQyGJEwq5NHeS0/CDGENTxNqjyLR7Lhu7XTo9D0OX6Tserb5LkuZER2RQ9bJFKa9nuZXzC0VsQ0FTRUy2YGtEUYimKYRRhKqIuTVVNnG8EF2V6Q18oiiiP/RodR2GbkC9ZBKP8qWSlMZhxFqkqfIhQzowdH12mwNyppqxZseJyOuGabNYGMZUC2ZmTwVhPFaP4Ichnhfih/GYMqemSNTSfM7RZyDiCBNVs48jokg8a1kSa7WpK1i6kuXgDE3N5qRtqqiyBIlobAyDCDkBiQTLVFBVGUUW+4wqJ3heiK7JqAqQCPKovKljGwqWJRPHMZIECTG1ksl01UKWpaxRUpYlaiVD7DOqRBjG5G0dVZHRNYX+0B+zKebquUxxr5jTmankiOMEQ5PZaw3ZaQ5QFYlKURxzZE+MchVHc/+VooFpKKiKjCJLWIb2nuNf9+VGTqjlmWCCjxNmqzbVopERQyxOFVAVKcv7XzpdwfECNvd7OG7A2cVyRsAqyxJnFkv4aXN1rWwxXbaE2k/X4cxCEVmRUsLAmKXpIkNX1B74fsi55QpBGOK5Iaoi8cTZGuu7XdZ3u9QrFpoCm/s9mp0hC1P5sfx2tShqCFpdhzhJWJ0/3J9qZZOZqp02csacXSwhEbO516XddcbqGOD+WoGFqcN/X6jnx+zuC8tVEgTRpuMGLB1RrAChKhDFog7SMjVW5wvst4bst4ZMVSxMXcQsgjB6KD9pp9HnzlaHKLrfhj5q854/Vc1sJ0mCc4+glF7K6SAJIs6RvXXUzj/qCxiaIuqqjmAUd3H9kNIRGw5J+IIPW89aSNf8ESqprdIf+g+se5vgk4fl2QKWoRCGIkf5SVR9f+GJZY5mI2UJTs+UH9fpfGD4D3/m/OM+hUfGueUSB50htzfaDFyP84+w9n3aMIlmf0RQFZkrqzWaXY/d5oBW16PV9ZirCzniG+tt4jjBMlUun66iKCf31yzNFMhZGp2ey27L4eZ6hx++tYumKThOSM5S6Q18PD/k2YvTzNZyJMBsxeLGvQ6v3DzANlTKRZ0nVmsYusLQDQWTfyw65oJQOD+yIgo27YZOEAkGz6mSiWVouG7EdqMPSBjakEJe44tPLjBXz7G6UOLySo2bm22iKCZn6dzcbBMGMa/e2scPIvKWTpwknF0qp4XrKjNlC8NQqBQscZz5Ejc2Wtzd7ghJ0bZg6ZmuWkjA2k6XncaQSytV/tXv3mR9t0eSJFxeqfO5q7PUypZgC0jZuiVJwo9iGrt9wjih1XOJYxFgGRWQgwhIfv/1XfqOMEJ8P6GU16mXLcoFg1rJErLS2x1I4NRckXLBYHmm8FAFbpWiyaWVKgMnoJjTT5Qi7g19bq63UwlJeOJs/T2OvIfD0A24drdJFCXomszlldpEcv4xQFXEvd866HN3u0ur59G/ecDl1dp9cnbfenmL9Z0+rh9wdbVGrWSyud9jppzjW69uU8rrTFVsLp6q3CeLvbHXY6cx5KeeWebGRoN2z2OqYvOvf/8OF05VGDoBTsrUnjM1zi1VOH+qgh9EnJor0ui43Nvt0Wz3+fc/2CAOE+7t9HjzbkMw/PkRxZzOpdNVVucLbB04yLJE4MfkDNFAFScJizM5NFnm7Xtt/CCk1XPpOT7Nnof7e7dYnikiAdutIaYqM3ADVueLvPTWPn/w8jZICSvzJS6eqqQsHAkHHZdEgptbbfY7Dne2u3zu6ixyWt12XO5v6AbsNodEsWD2uHKmft/Yj+KE124ecP1uk57jo8gSRVtHkiQWp/MszhTGHMEPE62uy80NsTbkLI2Lp6tjTWbvB7IscWmlSqPjoioStZL17l+aIMOF5SrLM0W2GwMURUKSZF56e4+17S62qaMq8Lmrc5RyBo4X0HVCGu0h33t9G0WWeer8FE+cOVzrn7s4w62NNgM34MJShYsrNbb2+7x8Y5+dxpB7Oz2ClLHNC0UC4otPzmOaGpt7PV6/1eAHb+zSGXrMVnPiOMtlbFNncTrPdMXkv/vnr6WqPDFnFks8e36aN+400VUZWZF5/so0siRzd7vLr3/3Hr2Bj6qKZqrZWp5iTqNglwCJME7Ybgz4rRc3WJzOs7JQRELCDyN+6wfraKrMZy/PUMwZ1NIExW+/uM5OQ7CDmLpMrWhx/W6Tt+5pKLLE55+Y59RsgTfvNnHckHZPMIOausrZpRJz9Ty2qY0VgIJI8oyY+gxdEWP7tBjbiiKhyBKuH1HOG5hHCjs0dWSrCan1tZ0uQZjwuatz5CyNct4gZ4mmr73mkOtrLRpdhygUzWbiuCGaqqOrJ9tx7wQ/jPn3371LuyfkrL/41DyL0wXevNPA9SJkWeL8cgVTV3jzTgM/iFEUcW0n2RIjHJ/bk8LNjx53tjoZU8tIwvbcUoVSboAXhhy0B+y1hGLPSeGvYyIZSLKUFW8pksJed5AyPibEicTQj3n+ygynZoqsLJQ5aDu8fa/J9sEwbXBOOLtYFoViJCeu9+WCweXTVfrvYK8+CqIozuayLEucWyqPFWxN8NHilRv7vHbzAICF6Txfee7HRyHz44payaI38PnOG9s4TsAPr+/i+xGqKlO0NeplkxvrbfZaTsraevjd5ITYt+fHdJOAnKlSLpsYqpyp6G3s9Hnm3BRIEp2+j64pnD9VJogSLp6qsjid/8jswPPLFQ5Spq/6xPb80DCKR7V6HroqU5nYAhNM8J7xmUszfO35ZX7j+/f4b//pS/yt/+ynxnyKCSZ4r7AMlZ3WEMcNGLgB1ZLBwnQef7NNszO+2UuIpm4SaPddJETxYs5SBbNuBEVbZ7sx4Oe/sEK9YnFnowOyhCJJ/Nb31ug5AbIkcX65RME2sAyVatHk7FKR5ZkSV1ZrKLLExm6fJFX8eOrcFNWSRaPtpAVah/vJ+m6P7QPBGjlTtTk1VwQE8csojqXIElfP1E/0M7wg4s3bDVpdl72WQzGvs9caMlOx+bU/uJPF5C8slynldaIooVYyswbQ5dkieVvPCkEelFuZYIIJTkan72U5SlmWWJ0pcel0lSCMsQz1ofx3U1e5slKj3RfEZDlL48VrO8RRQqfvUcrrdPoe5YKOKku8fucASZb5999b58vPLlAumMzWcpi6yktv7bK20+PeTo+lmTxffvbBPmu753FjvcXWwYCNvR6dvo8sC1/DDwK+9UoDP4jYPhjyzPkaPdenWja5tdHm3m6Pbt87ZA6V4NJpkQvZ2O1za7ONLMkctD1qRYtWLyBv62zvD9hP1TCKeZOirTL0Igo5sQ5pqkwQRHz/jV38wGfrYICmyORMlVrJpNV1+f2XNoljsWaeXSrz1Nk6339zh619sZY+dX6Krz1/ir3WkNmqTb1s0ei43LzXYr/tUq9Y+GHMC5dn+eyV2bF78s2XNri3I1iQr6zWeObCNFMVC12T2djr0e553NrosKH3heJInGBoCpdXq8zWcgycgJsbbRwv4ncaAxam8kxVbHppIaAsSyfmnT4o+GHMr3/nDp2+jyTBl55ayPaVCT5+OBpTN3QlKxLMWRpXVmvstxw29vts7Q/YazlcPl3lwqkKtzfbXLvb5u52l0JO5+ufOzW2l796c5/bm520WcHk2t0mO40BCXBuscRs1Wb7YMDqfJH56SJXVqs8eXaKVtfl7fU2QbiH58V0Bw6qDDvNAZau4vohvYHH9XttTE00hzx9rs76/gBdEYXfOVvBDyNsQ2VltsjaTp+DlLV7YSrH179wih+8uc/55TLlnMavfWeNIBBFpnZJSwm3FL73xjaNjsPaThdVkdnaH1CwNQZuwLklUZx0dbXGwA3oDwO8KGG3OaDZVZifyqOpMq/dPGCnMeB7b+zy3MVpvvzsIvttl7XtLv1hwL2dLoamUC1ZSBK8dvOAIDzMG1xaqXJnq8P1u03ubvXI2wf8oc+fZqZqsbHXx9JV1rbFunB2sUwz7z0wXjzB44cfRFy70yROYlxfNFwosmAwXpjOc9AeUrB1oiTh2p2GUHcJQl68vo/vx8SArkEpbyIhcXahRKPj4HghQy9i82BAraATSxKyLOOFMRv7fYIgpO+EJEjoqsxU1ebMUoX+0Od7b+zgBRGn5ySeOFPj5kaHjb0+vYFPrWSyMl+iWjS4frdJkogGodXFElGU8MyFKV65sY/jRTxzYQokeO3WAd9+dYsb620SYGW2yPOBUBb3wwhDF41jN9ZbtNL9e5T7N3WVxek8IBpR32v864POjUwwwYcNTdP48tOL/PYP11Fkia89v8hO02HoBRhpE/LLbx/geCGmrvDMhSn8MMJLGx3PLpW4t9sjimFlvsTrt5vc2uwgAV96SmZltsj6fp+ipWHoEv/6928RhjGWobBQt5EliUhOqJdsvvnyJjfW2gCsLhd59VaTnYMBkgxzU3l0VcFLCRvLeYPbmx3RPDL0+cWfOMPCXg/PF3ULa1tdvvP6Nqoi8dyFaf6HX3uTg7aDqkhcOF3libNT2T0YrQGuH1IpmuiqTKPjCoKsksnZ5TIvvbWPZSicWyrx9371TfabDqap3Ed9/tnLs3T6Ho4raofWdvu8ekPk00RNRRnXd9FUKSPfeBB+/+VNvv3qFgALU3n+9M+eR1FELdJxm/eLT83zy189z73dHqdnC5yae/jCeFWVkSWhICZJElEc8+rN/bH6v5ylpXaWMdZoEccJb6216A19kODMgogJCcIPjSSBV28eiHpWQ+XSSnXs+0ehawpXztRodV1MXcXUFV69eUAYxqiqzOWV6kdCYD3Bhwvb0Hjhyhxv3mlgmyrPXZx+3Kf0nnC0/OID5k/+yKApcJQ785mz7048/3HDy2/t8faaiB3vpg1zc/WPpv7y44ZJNPsjhKYq1Eomrnc4g7YbA7YPBhljiuOG90l/HUe1aBIlggF7c3+AH8REoZBEb/dF12qr56EqCqfnxQZrGBqbBwPCKEbVZKIIvn9tj07fp1a08IMkZZcPGDihYPWMoDsIUBVFsFqoCr/5/TX22g7lvIofCsnyBCExNvpM3tK5cqbOl59ZYnG6iKWr9AcBUZzQ6nr0hkEqORwiAYosE4QRqqpQzptUiyY7jQGqKnPpdA3HiZAlmb4TiACoopAkQqosjGLeuH3AeirLJkkSt7faTFdtFFlitznE0BQUWQYJgkDIrjY6Lr2B+H4xZ2RJJoAXr+2KYLUk4fsxtzbbqaFzGLTYOuhnK7qpq6zOlx6Jobhg68zWcg90+t5aa2GbGjlLY7cxHJOw+zCw2xxmUnZ+EGeFNBN89BANBBK2IcZGEMZZcHCEVtdlc7+PqkjkLZ237rU5t1RheaZEGCf0HT+V+E7YaYwzLCdJko33WtmkYBucmiujKjLNrsv2wYAbG22CKGGqYmObGvd2RYDRNjVmaznOLJaoFU3u7Q6R0v7UMArZ3h8QBDFxktAb+hRtlbvbXRodRzBXIRoidE1B11TCIGG/7YpO8ChBlhWCIGbohBy0He7tdnn6wgyXT9W4tFLniTPTuH5CsysYcfxA3JvXbjUIo5hW10NVZME6EyUEkTjWj67vZde/dXBchlAkW/KWRt7S6Q3uZ3bq9j12GoO0Szyg1XXZTlVAhm7I1n7//T72h8Z2Y5BJRQ6cIGM3+aCgKjIzVXsSoH0PeOntPXK2zpnFMrIs0+p67DeH9B0hTxxGYt9ami1SLdlUCwbdQZBJUl672xw73rU7DRanC1xYroIk1KvWd3tYhmCLa3QFW+ZB2yWKYsoFgwSJ1bliJjnX6DrsNR18P6Td89hMx//mfp/bW10207EbBDFvr7Vo9TwaHQc3lTc2NJVTc4VM7aEz8Bi4ATlLZ+iG1Io2USwSG4ok0Rv4hFFCnMDiVIH5qTwjgawgjGn3feplC0mSaHTcbH3qDX32Wy5RLOwY1xMS7G/eadBOgyTielyiSCgIBGFCMaff18ARRULWtJQ3KOUNdptD4jhBUWSm07GdJYVPKLbSNYXZWo6hG5K3dCoFA0WWWZkvsTxbpFayUGQ5Y+hrdFziRHCdDt0wY5jYbz/6PrqZJlGB9PqbNLtuZjeKNX3AQcfBT2Vfoyhht/nuTPpH57YkfTCNXxM8HIJjUrtbBwOSRBRFaJpC3tS5ud5JGRBFQZb8AA9NkkhVNwQjWxDFYqwlYn+XUqUeP4jxg5ggEuyZB20HRRaKMu2+RxjF7KWMMdMV+4HNgPl3sVcfBUfn8mgsT/D4cHTP2dzr3yeBPcHjQWfgE4UJYZSw33Jo9T1qRRPT0Li50SFImYqC451dD0CSiMCjnDZ+6aqKaQj27TfutgDBPhtFCcWcwcpcCUX+aBt5ZVliumIzXbEnKhwfMnRNYaZqTxo4JpjgA8B//EeuUi+ZbB8M+AffuPa4T2eCTwm2DwZ4Xoyhy0RxQm8QoCgKQz/muABjkv6fosgM3QhJkgkiCGOwTQPT1Gh2fXRV4dZGm5ypc/XsFFdX67y93maYqlz4QcSdrS7tvojX5yyNeinHC1fnyNs6jY6LF0RYhkoxZ9AbBiiyxHRaTDzyLeM4GYutizizOOlrR2LcWwcD2j33RD/joO1kOY0wijP260ZKONVMiy92Ww61kiVi/8eKBqpFwdR5XGVwggkmeHfsNA5zlCSCFKVWspit5R6JgME01Ow7za6I/VmGim1qOF5EfxgIMrmeSzlvosoSvaHPWtpwAKJwcqc5zAqD1nf7Y4q1J527H8T0Bj7bBwPBzm/pJAm8dquFqsgkiWgW6w0jegOf3caQgRvSG/is7/WJU2VgWZJIkLLCotX5slBR7nsMnIBO38fSVe7t9VKlYkEkYxo6INSKbFNDVRQOWi5BFLG220dTBGt/q+fT6rmZTy7LEqoi8+S5Kfwwzho4QPjtM1WbJ87UmarYSJJE3tboDgOiKME2BcP4cfu+P/SzBg4Q8dURSnkjbTIRhWNr291MZcMLIhodEVMeuAGlnEF/6DN0Q1w/5MZ6azyu8xDxyPeKjV3RjAPCrz0eN5/g44dRTP24SpdtaiIGms7nMBSxzFLeYK8l4pUAvYHPvb3e2F5+/W4T2xR5u53GkM39PpIkIUsSb9xuEsUwXc0xU8tjGQpPpoWco8LNnKkhScJeWtvro8gyjh8hyzI31jtZk2rfCXj11gESovCxO/S5u9WjYOvMT+VZ3+uxudfNrun2ZhdJUnj+yiyfuTTLvT2Rs5MVCUVR6PZ9aiWLoZ/mOO4KMqbtgwFRnNDougRhQrvvoioyAy+kXraJ4gRFlhi4EUNXKGu0eyI3ObK5Xr6xj6YqWIaCIkv0HZGPiRJRVPnWvVaWy4mihL2WQ8HWOUgbcEHkqO5sdXjq3DSL04WsGavT93H86F3jxRM8Xozs807fx9BUTF1j4EYgiZxxs+uhakpqNw/RVIWDrsgXkCpuBAEoklDGkGSZOAFJloWTkUDfFfu1aahIEgwdn74bHlY6ShL1ooXvh+lcEo2AO40BnYHP0Avx/AhdE0r3YRjT7HpZbrs/DFBlOZ3rCp+5NMtPPL1A3tI56Dg4bsDaTo84VbbaPBiwud9j6AZUCiayJBoSRw0ccJj7LxcMlmaKLM0U3nf864PMjUwwwYeNoeuz13a4eqbOpZUaL984wPEipis5SjmDf/sHd4mTBENXSIB/9501bFOjUjAJw4RXbzZZmCqwPFPg5r02d7c7mLqCoSt8/9oeiiJzerZItWTxg2t7hOle43gRv/PDTcoFi6myTW/o8r3XdrLz+sFruxy0B+i6sIX/4JUtvLTaOIoSXry2g6rI5C0dz4+5vdnh7GKFK6s1ZEmiM/C5vFLj/HKVb760SW8YYOgqiqLwey9t3ncfygWD2VoOQ1OQJIl6+TB2kLd0fuLpBT5zaZY37jTxg5hSwcDQVH7wxs7YcbYOBqzMl7m8Wsf1I16/dYCR3o/XbjVo9TwqBYO8pd9Xe3QcP7q+m/19c78/9vn7bN47LVbmS3z5mcVHauAAoSoSx0JJyNTVjMAZRP1fo+MesbPGCW17Q180cAAk4vpHdWEFWx/zFR0vpHlE7e8kGKldWC4Y7LWG2XgJj+XLJ/jkojf0kSSJK6t1VubLYzHBTwq+/drGfe9d3zx4DGfy/hAcE/j5L//H1x7PibwP/NaL4llIklgL/96/eeMxn9HjwySi/RFDlqSx4gQR6Bt/DA/qWjyKUcDD0MSfaiqRaGoKSGTOtabK2fFGn1FSZ39U+CjJolhMVWQURUaWJRRFRpLA1sUGPiomK+VMIamoaUiShCQDkrguPf2sqhz+NoCsCOkhRRbHVyQJSRLvjYKho8+Oki9HDQcjOwcJpMPXo8/mLZ2jsYSjigWjcxnJOGuj+6VISJKEKo9eH95zayQdn96n0e8dfU5jz0x6uGf2KBhTApC4T4Xhg8bx8/+gr2eCR8PxNUE79jwMXeZoDa5pKGlhp1hfZEkS8qgnHEuSpLEkp66pWVGoJEnomoyuqmNzyjoWoFDkdH0YdZann5XTAJCEYAnXNI2cbWT/rigSqiJla5Bo5hBOlCJLyJKY55IEuqqgKUr22dF1aKm06+h9VZaxDCE3fLh+yFmD2NE148R7+y73GkjlZMXvyWnQd7R2KIr0kSaHj8/Nk853gseDkby1JKX7iyYKtEf7HQj2qbE9Mh3zcP86f3TcgphvR/dDCQTLjnI49iVJ7HOqeri3yXK6X0pgqIf7Wd7WxyQ5dU1GT/fIUfJE1xRyxuH8l2Wxb6bbMaqqiPk4mgfSob1gGup9TRLmkWvSU3sFxH6rqnK2943mm6krY2NeUeRsP3/Q3jtaB0dQZfk9FYW+0744mvOjtUusCVJqF0knfv9hYJ1wv47P8aN23YPOdYKPF2T5ftt/lHgbPTtdT8dU+n8PeqIS400eqiyjyoAsZU2VIwYXy1DRFDnzPUa/paTJzo+6sOm+/Uv9cG3bCd4ZR30NSZo8j48LdFXJ1gxZloTNDWiKhKkrSNLhHvwwkFI/XZFldF0mFaZDViRylthzRnvuyJZQJ0WPE0wwwQTvipyl8b/5k88A8Ku/f5vXbn3yEjwTfPygKnIaGxO+tarKqIqI+5zU5J35DqlhoKZ2g5rt7eLP40VHwqYY908U+fA3jsYi7rfhT7YTRC5BGnstHYn9ZecsiTjkg67/6HlrShofPJYHmMTBJpjgw8Fxn/CDiDVp6foCIo4hfJx0bdLfOf9lHGFnFbmCB5/PKP4pSYd5CyUNoJiaImIp0uh3RDG5popYniwdxkvUNDc6ivEZuohdSpKEjISuqWneVBxD5jCfoWsKmioiM6PjaWneQ1dHMWNQZLB0NYvRHr0+40isFE7OCSqynOV5xev74zu6Ko+tyeaxGPPRZy0Ui++PeappfniUk1XktNhX4r7Pfhg4Hhc//nqCTxYeZE/ox8a4ecxGOPrvhqZkeRUA2xr/rHHsu6ZxpK6Aw3kwOpfR/JJG9lKaAxnlUUbjXRrZZOrh8Udx3BGOk0yNzjv7rSwnM/7+aO6N8qyKInILmipleSNdG48rm+mxtWPHGP15nNn6gfc6/dzYs5EYu8cTfDxxdPyM1OGVdN9SVQVFkZBB5NfTsWMZaT1QegxJGtUGiZy9qij35b+UNIgoyRJymmMY1QONcnBiXh5+b5TPU44ELxVZ5P7eLTd/9PoURUFLGeVJc3CmpozVNgif5sjxJj7CBD/mUFV1zP47XttjW+/82hrL3zM23yxjfA+57/UxJYqjue7jdujx15Zx7DyOfFc5llst5Mf32/ej5pC77/4c2z+PXL8qj8cxdE3Eak767Ek47tcc/e3j9/L4/XkUHD+P4/fnnfy7d62fesg1/CQczzdNSDc+HbivxvkT+Fyr1fubPS8u1B/DmXywmKvZj/sUHhmmNj5+yrmHJxL5tGGiU/QRQ5Ylzi6WubfbRZIkTs8VMXWFMBIygLWySSlv8MbtBne3OhRyOp+7Mot+bJNdmM7jBRGaIqGoElGYINUklmYL9Ic+rb7L+m43dcQkgiDBUGWSJGHrYEClaGDpCnP1HO2+x8pcid3WgDCM8YKQ9d0eszWbckGlcd1hY7eLosi4roPjC2mvSl7H8SOSJGGuluPanQMsQ2G/NWTohdhph/5sLcf8VI7Xbh2QJAleGNHsOqzMl0BK6A59Bk5A3/HoD30sU0VTZTp9L2sOub7WxA1CCpbG9r6QLV3f7TFXt/kzP3eRJ87W+O0fbpDEIhD63//Ka6wulJgqW0gy1EsWu80hG7t9dF1htp6jmAtodl322w7PX54hjGLWtrtMlW2mKxYDJ2BhKs/T56bI2zqL04Xs/q/Ol7i91cELIuI44dZmh1pJMHt/EPjMpWl+/TtreGHEC5fnTpQlfvXmPj94cxdFhkunq5TyJoszBfLWgxkBOn2Pzf0+iixxaraYFdjOT+Xx/IiBE1AqGEyV72df7fQ9fvDmDn4Yc2WlNpEv/hAxW8vheCGDYUAxrzNVOXwefhCxsTegYOvc3uzgeAEztRyvvH0AUiLYN3SF+akcA8dnp5Gwud+nWjSZqtj83g/Xeetei439HpqicHq2gKaLQm1dlbm306OU15ir55CQWJzKU7RV/u6/fp313R61ksnpuSKfuzqLLM2xfTDkoDMkjmWqRY39tkMYxdimysZej698Zok4Fp30XhDiBREHHQfXFevMqPhUV0UCZLZmU8oZnJorMVU2aXRcynmDUkHHD2KKeZ0giEhMlTiK6To+mqZwb2eH62sthk7ITNViumaRNw3mazan5gvsNofMVG1UReJH1/dwvIBq0SJOYn741i79gc/F01XOLpZ4804DVZE5PVdE1xQKts7l1SpxnGAaCkMnRFVlCrZOpWiyNJ3n1kYb14+YSjv6Rxi6Afd2eyQxLM7kKZwwl0drj+tH1MsWM9UHG1an54rcjjt4fsR01T5xbdhrDtlvO5i6wqm54qTA+yPCC5dn+fffWWNjry+Cl5KEpiuszpeI44TZeo6fe+E0kgQ/eHOXg7aDrSvsd1y0nseqXuLXvnU7U9B6/uoc335li6ETcG65zFTF5sLpCv/w317HCyJqJYO31tokJKxtt3kjEc0Ev/2DdXK2ylzVZnW+SLloMHBDKnmDRsehO/T52gunmK/nOTVX4DuvbaNIEpemKtza6LAwlce2NPRUuSFKhLrFrc0OpqFweaVMzjaZrll0+h45WyOOYnRN5sJSmTiGnK2hKTJRkiDJEt2eR61kkiQJb601WZ4tUsobXFiu8OK1XWxT5fJKlZypc2mlyuZun4SIoRfyrZc3qRQNcqbOQj3PW/ea7DSHnFkocWO9LQpNEoiThEbbpTf06Ts+d7e7yJLEL3xpFTjc/5IEdpsDHDdkebYwJrV6FCvzRW5vdQjCmLlaDstQafdcXry2ixdESEAQJuiqzNZ+nyiOOGi5vH7zgPmZPE+fqxHHCfd2ewycgHLBYGHqnWX/Zms5rp6pcXujg6IIZY/vvL5NpWBgGxqWqbI4XUBN/63T88hZGvPHjntzvcU3X95CkeGrn10es1+iKGZtp4fjhe+63kzwwUA5ZvvPVEz+p996m07P48LpKq2ug6WpRFGMLEMYQSKBJkNwjHE3k/JMhMJHrajhx3Bvu0cYJ0hAvSSxOJ0jZ6rcWG/xT3/rLUhgdaHIykIZU1MYuAHmQLBjzdZyxHHC2k6XoRtSKRrMP0CiMkkSNvb6dAc+BVtjaabwQGWX7YMBza6LbarZnJ+fytFou5iGwtLMw8lgdoc+3399Bz+MuLxS5fQjss9McDJ+4ql5vvv6NkGU8PS5qXeVfJ7go4FtKjR7Ltv7A2olE9NQGTgBlfTvf/DyJgM3eOgmDj+I0bWIKI5ZrhVZ3+tz0BpiWyqeF/H9N3foDX1ypkohp1POG5z+iHy8o/vRB+lH/zghCGPWdrrCL6jYYz7jSbi53soUP1+4OjeZ9xNM8D7x7MVpfu5zp/j1767xt/7pS/ytv/aV+5qyJ5jgYbC132e35fDK9R2+/eoWB10PVZVYmSuiajJBdIT19gjCGNQooVLU8IOYGIVqwSSIEyxdYWmmQG/osrnfI2cKFYy17Q79gU8QRvhhRN7SWJkr4YURrh8RhiHNnss3X9rkymqVWslk4ARCMVKCH7yxwz/6d29i6irnlyvM1/PkbY04gaETsHnQp2DpPH1his39Pq2ui6nJHLQCbFPl808sYJsqvh/yuy9t8NJbe4RxwtJ0gSurVVwvII6EwmCcJFQKBqW8iWVo5CxV+NXTD+dHTDDBBI+G+brN3e0OvUHA6fnCieobUZzw9r0Wa9sdLF2lXDQz5df6CfmkStHkiTM13rjdoFzQKRdMCpZOzta4vFLjxeu7NDsOC9N5ziyWxn7n1GyBH13fxdBVfuKphbEipK39Pre3OiK2aqos1PMUcjqnZovYpsK1Oy0GbohtKvzpnzvPP/i312n1BfP9q7cazNQs7mz5vH2vTZIkFGyN3eaAom1gaDL1so2mSszXcvz2D9eFCnISs7XfQ9UUbm+0OTWTZ6/jpqpBYZobCIRKr2UIkilJkPA9cbbGna1upkL4/Ws7WIZGgijUkmX4H3/1DdoDHz8IaXc9dE3l6fM1/tE3rlEtGoJBWJbxggjb1CjmdLoDH1NXuLfTpTPwKOcNlmYK6LrK55+Y40dv7dHueZyaK7J9MGCuLnyulfkid7a6hFHMcxdn2Njrsbk3oFo0yVkad7Y6DJyAtZ0ucRwThDGdvsezF6fxw5h218My1fvinHe3O7x5p4muKjx7cZq377VotB1majafuTT7SONxYSrPldUadzY75GyNz16aeaTvT/Dh4Z3iziDUuA7ajsj1GyLWsDhdwPGE8k0hpzNdEfHop87Vef3WAc2uh20ovHJjn6EXcn65AsATZ2r8yjdvEycxP/PZZRZncvz7791j6ATM1fPc2mwTRULtWEoS/uffvcnybJHd5gA/iHCDkErBQJYlyrbB+n4PQ5UJ4oQLSyX+4PUdwjihkje4cKrC0A1o9RxevdkkimPqZQtNlSnldX7wxg7rez3COGK2msfUZaYqNoam8plLs7x664BGS6hdfPbqDBs7ffwgRFUVnjxbY2t/SLVgENgqszWLzb1h1nhWyhm4fsh8PcfWgXi/nDfI2xrLMzV8P+Y3fnCPJIZLp+cy1vJ7Oz32WgN2GkK56OZGmy8/NY8fJ9iGytALaaS1FLYh2MOlRDTIDt2QvdaQ1YUStzc7hFHMfD3/vgpiJ/hwsdMY0Oi4WIZCvWLhuCGOF9D1fcw0d1XJ61w8VeHOVpcfXd+j3Xd5806T+XqOatHgoCOUKyxDqN90+x6O5yMhE4QRiipDEqcq4kIJRpKglFMxNIXuwIMEcqbKfmuIocsszOQZDgO2G0NkWeLWRpswSrL6oShO0jqaNl4Q89ylac4slMlZ2pFrUtE1WagS91zubHVRZYkgjCjYOk+fq3PhVBWAoRtSzOvM1/P4QcxrNw/QNYUXrszi+iHfe32b/jBgdbHEpdM1QNRV3N0W+95cLfeRKdS+dnM/rbkweP7yzH21Xh80RvdzlI+ZqOn8eEFXZRamcnzjO2vIksQvf/Us7X7Am7cbFGyNP/eHzvBf/O0fMHADLEPjT311lev3emK+LBR54mydf/qbbxPFMT/7/Cn6zr6oH1Ak/vwfvsK1tSbXbzcpF3X+/C9c5o07LVpdl9l6jmfO1/h//4vXcf2Qp8/XOb9c5V/+zg0A/shPrPLWvTYvv72Hrir88Z++xD/7jbfYOhhQLOj853/2Of75b9yk2XW5cKpMrWzxm9+/l+UDZ6oWL9/YR5Zkvvb8Ka7daXJjo4Opy/yxr6yO3YMwirm7LWLlUxWLgq2zttMliUVt5dGmy6fOTfP9N3a4sd6inDf50pPzrG136Y/y+dM57r3axfEjLp6q8Ee+tMLv/EgwxX/l2UWQJd5aa2EZCpdWKmzu92n3PPKWyJsebT75qecW+EffuI4fRnz56UUcP+Ib376LLMPzl2fHbN7PXJpmfbdHd+BTzOnM1mzWdnrZNeUt7YF1R5WiyVw9R7PjYpkqp2YLrO/2s/q/Yk7jxrpQ7Jqp2mNq7LapkSQxL984wDZV/vAXV8auab6eJwhjHDekWjLvU147jr3WkP2WqFVaminguCH9YTBmB07wyYZtanQGLi++uUfe0vhTXzv3uE/pkfFpaNgAqBVlGt3DgpL/8i9+6TGezXvD//LrF/mv/skr2ev/8i9+4TGezXvH1n6fVs/DNlVOzRbfE9GwlCTJCWmACU7Ca68J2ZknnnjiQ/2dzf0+v/Pievb69HyRLz218FDfjaKYl97eJ44Tvvv6NmEYo6oiuDdXs9jcH1K0dbpDn/PLZRamCkxXTL7/xh5+GPHSW3t4QUS1ZOL7EYYqc2NTSCG6XoRtqeiaQqVgYulKysIt4XjCaWr1PKbKFvsth6WZPJWCyZnFMt9+dZMwSri10SZOmz7CKOHSSpXtgwGGLrO1P2SmahHFCTM1G11VMDSF63ebdIc+cZzQdwJmyjY7rSHTFQvb1Hjm/BSNrksUJfzg2g4kgvkiiuEPf+k0qqpQsDR+eH0vu0/nl8soipxJiBm6kkmKjnB5pXpigfRRrO102W0cygZfOFV5JHnpB+GN2w0GjpAxlmWJp85NjXUzNjsOf/dfv06cQKvnUrB0vvbCKVRF5pkLUycW1IVRzMvp2ADRFf3EmYffmP7tt+/QTOWUJQn+6E+dwTbf+f58GvHDH/4QXdc/9HXgQbi+1qTZEUGMRseh7wQEQYSuyfSGIaWCznTZIk4Srq7Wub3VIYoSlmbyvHmnSXfg88btA/wgRlGENPhPPD1Po+tRK5jstofISHz+yVmmKznqJZO/+69fZ7/lsNd2MDSF1YUSn7s6y9UzdW5tdHjt5gF7rQF3t7sEYUIYRui6wrmlCsWczupCiZff3qfVE/N04AT0Bj5BJIJBqiJTK1ksTOe5cKrC4nSBp85NcWujTXcgpPt6Qx9TF4Gh7tDH8QKCIKY78DF0lTduHRAlSaZE8qd++izLC2UcN8zkg1s90RCyttPDDyJKOZ2319sEYYQkSVimyvJMnvm6CDwXczoXT1fH7v/N9fahRKAEV1dr7DaHY9J/R9eOV97ez2QhFUXimfPT923Wd7Y6Y9+/tFI9sdnjYdAb+ly7cygvPlWxRMPcBB8oTloHfvvFe/y776wBcNB2mK3ZXF6poasKf+KrZ5FTNqQXr+1w/W4LP4x4e63FwnSevhPguiHn0gTFVz6zdGLB/9/71TdEo6QbsN92ePrclEiOaTJBGLPbGjJfyyHLMi9cmeGLTy1wb6dHEMV857UtCrZOztSwLY2ffHqO//of/Yg4gW7fQ5YlvvDkPABf/ewSvaEo1Li71eF3X9rANlRkWeb8Upk//tVz3LjXBkSCLmfpTJUtZFni6XN1Xr3VSCWSXVo9VzQfbXaZrliU8gaWoXLhVIVXbuxnEsoFW+fUXIHXbzcggZff3sP1I6pFEyT4w19c4Q9e2aLV83C8kFbP5fNXZ9k6GJK3dVwv5PZmh6myyYvX9yjmNEp5E1NX+Cu//HS2/11fa3LQcrJmqy8/u8jSTOG+e30S/s23btPueQzdgE7f5/NXZ3nxrT0MVWG7OWB9RzS6ybLMTz6zwDMXptnc62ffP7NYGguKvBN+/bt3s3VBkuAXf/IMxYdYF3w/4v/1z1/O1r2cqfJXU5Zg8by67DUP7ZaLp6v3sYVN8PB4LzbBv/zdG9n86Q89kkQiCGO6Q5+95kDsY4rE0Ine8Tg5UyFv62iKzF7LIU4SNEVmtmbzxLkpqkWDP3h5i2bPQ1VkirbOf/xLV8hbOrvNcdu1O/DHpE7PLZVPTGbsNYfc3e5mr5dnCycWXrd6bnaNAHP13EPPs+M4bn/+0k+eeVf7fIIJPkp8UL6B64V84zt3ubXRJooTDE1hqmJxZqHEj97e58Zak/22y8ANiOPksKnrXWAZCsWczunZIjvNIQkJuqLQcwLqJQMQNvCl01UuLFd56vzJzY0fNNa2u/etRR+EH/3jhDG/BLh6pnYf2/oIjY7DN75zNysCnp/K8dOfWf4IzvLHA487RjDB48PQDfir//XvsN9y+IUvrvCf/LEnH/cpTfAY8V7WgmbX5eZ6m2t3mnz3jS229gfCR06ZkG1dRlZU/DDC9QSZQBQnJAiWedMU6ntzUzl6w4AkSliazVMpWMgyxLFgd97c76OrCne2O7RHpEmqsDVyloqla1iGguNHzKX2/cJUnheuzmZ7y69/9y7ffGmTdhrbK+REs0be1JBlmYETEEYxy7MFgjAmb4nGkYETMF2xKRcNnjhTxzJUvvXKJr/1g3vsNQURVDlvcHaxTLVscmZeNMDnLZ1qUSiCP31+aqIcN8EnAp9km+Bh4tNrO11BBhCImF/e0ri0UkVRZK6uPtgWfVTc2+mycyTndn65QrkgfIVm1+XVG/vc2eqy1xpSsHUWZ/JcOl3l3FKF128f8MrbgkxOkmCuluPeTpff/ME6fhAhKxKaIlEumGiKQqvvUszrGKoq/Ka5ImcWSyiyzN2tDj+4tkt34NF3AqIwwTAUcqbGU+eneOpcnbfutdnY7XJzo4PvRySAbahUSxb1ssl8Pc9cXZDDuF7I63caOG6IoSmszJco5XSurzV57VaDMI5xnADTUMnbOo4bcHq+JNZcWxB9hVHM0mwhY17vDQP2msO0yCs3FqdZ3+2Nx3qWy/cVXDleKBTFUj/BCyIMTWFjr5eu6wmaJsiubFPj2QvTJz6z/tDnV755K4vzOm44xsr8/JXZrDD/045P8jrwbnD8iP/P0bizrfFX/8TT2b+PclN9x2drf5CNywfFBb/18iZ3t7vcSRvIVueL5HM6X//8aWoli3/5uzcZHsmTxyQ4bsjLb++RpAaTIktYpoahKeRTFfQwSrBNlUrBZLpiUS6YNDoOjY6b/ftba00OOi6yJEhzvvLcIqfnS/x//+WrDL2QMEqAhMunq+i6zI2NDkmcEIQxsiwxX8tjmypnFsv0nYDbm53M9tJVCT9MstdzNZupis101aacN9A1GT+I2Tro0x8GLM3ksUwNRYIorb+SZYmnz08RRzH/4ndv4gcxu80BqiIxXckRxTE7jSGeF7LdHKJrMoamMj+V4wtPzKOpIl80uu7Rb6uqRBgeBpQepg5igveGD3ItaPc83r7Xyl7P1mxaXY/d1pDdxoC9lsN0xaJWsegNfDb2+ry91qLd81AUiVJOZbfloqsKQRhnRIxRHBOECTlLE+obqSqwF4gGxSQRjPF5WxX7m6nheiG9YUDe1sgZGvWKhWWq7OwPOOi4DFwfU1OI4oRKUeyFWweDMR/jz379Et2Bz/W7IpfddwIGboDjhmkjgkMQxhRzOqfmipxfrtyXWw/CmFduHNa85CyNRsfh3k4v+8zPPL/MbC3H9bUm3b6oNZAkeOJs/UNvWNrY7fG7acE3wJmFEp9P868fBjp9j7fWDsfITM3m1OyEjPVx46O0CY7v0YamZDl/gH/z+7e4fmSMnF0q8x98+Wz2+ruvb+F4IifpeiHX7zUQuj6gShKzR2oWLp2u8Od/8Wr2+h994xqb+yIXLklw0HLIpHKSmGrJRErVfbb2e2wfHNr5lYLB6mI5e10rmdn8TEhYmS+hp7GAveaQb768mX12db7If/LHn8pe397sjNX6JSRIKR2WLEs8c34qUxhZ3+3xe0fmaKVkMFU6bC6QJDK7FgmePFPPyJFdL+TVI/bz2GcRDSNHazx+7Vu3afVEE10UxULhKL0/eVsbew67zSFrR3Kwx48dJ0n2XUWRePr89EM3bL211qSTroXHr6nVdfm1b9/Jrilva2Nkf4vT+fsIJR+E/tDnzSO1SvWyxerCj2+t0qfVN9g+6PMPv3EtG5+j/f2ThBs3bvCf/e03x9771f/mlx7T2bx3/OJf+5Wx1z//uQX+0i9/5jGdzXvDX/g//7us2RjgmYt1/k//6y8+xjN6dLS6LjfW29nr4z7ww/YbTOi5P4YYFe+PMHSDB3zyfgRRnDksXhARxnHW5T5wQvF+ary5qSE2dEL8UPzdDyOiOCGMYuIE2gMxUZI0cBCEMUkCrh8QxglBGBGk3/GCCBJw0vMN0sLlVtdNAx6H5xcnIunUG4rju35qFAYRSQKeFxFFIiDi+hFxDGGYkCQwcIVxMTpms+tkzRhBGBNFMVEkrsH1xTmNDKMRekM/+w6ILnzPHy+WGxVevxPu+47/7t95GBz97Ti9z0fRG/rEiWBEjmNx30A0akQPqOgJw8Ox8V7O9ei4TBLBdjDBRw8/EPMtSRJ8XyjBiHkFfiDY+cI4YTAUAZajc6PvBERRRBiLuZTEZHO3P/SJ4jhjtPf9GM+PsrE2WiOiWCwG7Z6Hn1KEi7VmxKgREyOOG0URvYGP44XZOUC6ziDWgThJxO8F4jOOFxKna9DRMeoHEWEkmJ/iWDDge0FEnDJ5+LEY30m6trSH4ndHv5kdO0my99xArH2jaREEEY57+JsnzZGxdSERDMcPWjtGykMjRFGS3b8HHjO91veK49/9oNakCd4djbTIOEli4iTJ9jU/jPCPjMPRWhpGYg54QUQQRATR4Wf6g5P3/aGT7n/pXuwFIUEo5oaf7sGjIdbqe9nzD0Oxp47WA8cNaHa9bOzHSZLN8dE5jsZSZ+CJ9SL9t87AGxtXQRhne1QcJ/hRQpher9iTk9R2EPMaxDX76TWM4AWhWFOOJA1HnyeB/jBgkK4lUTS6/jhdFyIc/3B+CztGHMj1I4ZOkO1/rh+N7ZO9oX/ivT75/qe/H4t1a+iH+L6wtdw0UTt6iq2u+57sihEGR/bYJIHBQ56n4/tj697QG9+rPf/468ka8VGjf+RZ+mGMH4oxBBAloiAreZjHkoDrh9leHKcTyvFCojBm4IRj+1GcJDQ67n3j0AuiE987CQ/7Of+YhMj7GWeOO25/Ot7E/pzg0wk/jPGDMNujglDYmEEUEwQxbqoASTIeuH83RFFCEoPjB4Tpvhwj9uQwFj5/HAu7xQsjPiqOj4ddTyZ4MB7lHg7dcRb34zGnCSaY4L3BNjX+t3/yaQB+7Q/u8OrN/cd7QhN84jDyu10/zGLuQOrbixhSnCTEUfonSbacx+nnRrYCaTwsCJLMT4jSOHEUJcJPiESOIIkToiQWsYhQHDuMkzFb2w/jMd9y4IYEQZTG8lJbxQvF74eH/nsQxrhp/C17L4rTGJq43oETpL67sGvCKMbxhH89Osbot5OEsfOYYIIJPhzcZ1ueFBf3o6z4N4riLCcxipF/WOdyNN7t+VGaA4uz8wjDw/i844aZT5MkQt2zO/CJk8MY46iANYoPc5FwmP8YkUoN3SBbQ0exwDjNgQycgCgWv+d6YZaTSEgIosO1DtLfC2OGXkicxitHeY72wBMxUpJszQ7TtTrI1tWIIIqOxHnFOjuKuY5+4/i9O/4MT3pGo3jyCEfPOUHEa0nX6TB8cO5x4IZjfmpnOJ6P7U/8j08FHGc87uwce66juRqEh+McHhwXHLiH4w3Iagz6Q/H+0doI1wvw3ZDAF+tOGIhcoB+K7/hpzHs0hkdjdTSfR/NplLMZ/fYoX9Lpe1msFYBE5GAHXojnp3M/nZtROj9GcfdR3H60Po7G+yhH0j92naPrG5u/yXg+IE4bRtxRHCeO07joaH1J86nBeO7VHZ2Te8JvHPneCJNYzCcD9+V9AxHDG63VYeorBH5EEMT0hp6w+dMFvu+GJKndHZPWByQQRyJvkCQJcZo/FDU24rhxkvoMYUwYJfhhfKQWICFI1ZoGQ59g5LfE4Edxlp8bOAHR0dxnOj/Gc4xR5pd4QXRk3z2sFzq+/wRhdF/Ny/Hx3U/zqUd/66PyLXrOeD5v8Ai1Xu8FD2PHTfDphn8sN3w89tvsj9tm7f7x2rnDz/dcP7NZAdxjdWqjvXWEo3ZekNq8IzhH/AeAzrHvDrzx82wfqemLI9G8OcL+kQYNEHb+URwf94Mj1xTHIuZxeM7j3+31j13Tke+SHLOxH2A/j3B8zT56P8Iozvbqk757PIffP3aNR22j0Zr9sBjzBRLur105ck29Y8/pUeyFyXr044FWzxvz/z6J/t5v/qh733u/9/qNx3AmHyxev9N+3KfwyBh44+vEUYKRTwo+qJz3pInjY4jF6QKWITpKYxKmyvZ9xtBReEFEo+PQG/oMnABVkekPfSoFA1WRUWTBwFktCRnfYk5DksSKetAacm+nlwVTpso2OVPD0lVMQ2FlroQEqKoMElTyBqoikTM0ZGnURJuQMxWmShYguj+lJMbQFPwg4tRckWrRoO/4WIaCZYrvyrIomm52hmzv93FcwRgWhDFz9Rx5W6OUN1iayaPIoOsytqGyNFtAUyVsU0VRJD57eZZK3mC3OcDUFGRFJk4SqkWdvKVnzKKjLl1Jgounaxl7D8B0xWa6atEZeGwd9AnS4tFm1+HmRoudgz63NztsHxwyaveGPpoqZ0VzmiqPHfMoOn2PVtcdcyjfCdOVQ6bugq1jGeOMAHO1PPWyhSRJGLrM4pTo4KqWhIT1STB0hWL+kFFj9Bt9J6DRcQ6LZR+AM0e6oKslk3L+o5Gb/HHA0BXP4KhR73ohjY7Dftth62DAD6/vcnO9xXTFRldlbFNlpiqkvW1DJQgjijk9lelWuLhSQVYkLENme7/PvZ0el0+X0VSFvKWjKhK6KmOZKlGUMF/Pi+LmJKGY07BNlamKRZII9r+CrSNLEoWcjqJIPHluikpRrDGzNRtdUyjnDWxTRVUkNEUhiuGJszWiKGbg+BRtDVmWmKnYGKqETIIiSWiqjK4r9Ic+SZzQ7ntsN/pomsxOa8DWvlAS6A091FSKfLS+Dd2AJI6pFU0MXSGOEwxNpmhrlHI6tqmKpq0k4fRckaEbigK5KGKqnGNpuoCWqvIoioShKVlR94ipP44TWl2XTt9j6sjctAyVgq2J99Imd0NTKObEOiBJElNHpOTzlkb3SFOLePY+A8fPHM2j3x+Ni6NNXE46Lh7U6FHMGRhayk4oMXa+E3y4eP7yDJ4fsNtygIRSTqfdcynlNDb2eiIRAJxZKKdNCDE5S6OcN6gUTSxTpdV1RdA1jtk+6NMf+jQ6Dq4vnvvqYjlNRoJtKIRhTCmnYWgq+ZyOqSuoqoSiSLxweZZa2UplwIUkue+HdPoeC9N5cjmNalGMNVNXqBYNHC9EU2QsQyNnCfa81fkSpi728yCMWFkojgV3ygUjY862LRXHDciZKn0nEExYhviuZaoZg1/B1nC8AE2V6Q19hq5g5izYGooM240BOfPwHAo5nelajtX5Il7aLGEaCj3HR1MkSnmD2apNztKwTI1yQcwDP4xYmMqx2xqQJAl3ttpIJBi6WDsURaKQ0+gN/WwvHN3rk5zNlYUiB22H7tCnmNMo2jozNRvbUFmo58T9l2VUReKFq7PpPi2+qyoy1XeQFz2+F585wkoh7ov8UE29pbw1xvBxnOVuqmJn65WuyZQLE6atjxpPnJlKG6kccqZGJaejqzIkiVj/E0iIeTfylDCOmC6b5EyZKI5TVl4hgxuEIaosMVfLIUmgKTKlgs6T5+piX0qPPdpLpsrm4VhVZYo5nWbXHQsQRnGCLB0G3Dw/Eqw67WG2vo1QKRjCd0DY3aO9aMQA9yjFw6sLZXG9UUTf8T+RjvsEEzwMcpbGbMrkCFArGSzOFgijBC8QzdZhJOad9AhRHE0T87BcMCkXRTwgSRKKOZ0ghOHQR5UlZqo20xX7REXHDwNH1yJNlak8wI+e4ME4Kj1uGso7KnbNpBLyIxz17SeYYIL3h6fPT/P1z58G4P/+//vRfXbRBBO8E8ppbGsq9R0lSeTNR7E9Q9cJU/IRRYTms2SOBERJTMHSGHoBnh8iS4I119TEhx0/pNt3CeKIvK1mPqssg21olIsGlYKBoQul7fm6YMhVFImpsomqSNzcaHFvp8dMxULXZeI4Qddk6iWT6WqOct6klLJKi2aOhHrZQlMVSjkDWZIo2hqWqWZMz8uzRWxDFfFAVaGYxv9HcbhK0aSUKkbmbe2+uPhR+Gle5N2avTd2e9ze7GQFlRNM8OOGUa7B9U+eK9MVGz8I2W4MGLr+iSp5UxWLUhpHKuYMqkUTTZWzGPkHhamyjSSJc3a8kPyRY1eKBsWcgW2mrOEpc7imyiLmOXXoU2mqzHw9R7lgoKkKMaIRo5Q3yJsamqZi6AoLU3niJCFnaLT7jmAZH3iUCjpRFKPIgsNXliRUVeRbqwUd1w+YrpgYmoIEmLqMLMtUCwYkMYtT+Szu4ngBkKAqEr2hR6vv0Hc8pqvp+o+I09mpwlIYCXXiKIqpFE3qJZNayWDoCoXzqapN3tayfEspryPLEvUjCsBTFQs/iOgOPIIoIk7Gi8YA8raOosrsNAa0ui5nF8up/yh8x6myjaErmLpKrWTiuAE3N1o0OuOxmVrRHPPpBNOxcPhUVWZlbpwNfBQfehQCw/eLh90vJngwqiWLuXouyxMcjzuPclN5S0NRZEp5A0kSDMwn4cxiCSSoFg10VaaYMyjYOnM1YQ+spgrzSZJQr9hUSiZ+EKApEsWCiKfOVHIYmky9YpMkIibZG3rsNAbsNvsszxXp9F1cN8Rxg9QWSbiwXBENX5LI/ymSBMScXSpnxe+2qXF61kZXJUxN1CPIkkTe0oiTmErBYOgFzNZzhGFAq+fQ6bmszpeQJTG/4igiZ6gpoWVCp++hKrDbHOD5If2hT28Y4AUhpYLBXlsoK9iWiqHJRFGc5mRlDE1hcTqPoSsszuREbljXIBHKI2EUUbA1Wj2XatEgjISSQZwqEyUJggl7lMvUlYki6scY22ldiu+H2ZoMwk8o5cScMXUFVZGpFHT6w4ChF2JqoMvCLtdVBVmSmC7qGIaCJAlfQpZHzXpxtoclSYKpCzVfiZgkilFTqRpFldEUCUUCVQLbkIWynyKRs0StQpI2OKmaRNHWKeWMVDnGolwwBIGMF1Ivmbh+SLmgo2vimvZaQ7b2+wydAEtXME1FnJcEs3WbUl5nc7/H2/fE/uMFUWp7HKl5qVqcWzoc37alsTgtameOxs9ylkYUCUWxh63ZeS84NVvA0A9z9R92HK6cPxwjk9qATxce1n4Z5Yb9IMIPIy6tVNFUme7Aw/FDfvq5JZDShigp4avPLbK+2+PVm/t4fsCV1Tobuz3ubnc4M1+gkNNw/QDPDzi7WMLQlJRgMua5S9NZvYoXRFxZreF6Af2hTzmvc+l0JWsIO7dUolo26Q99HDfgJ5+eR5Ik4kTstS9cniWJEzw/QtcUnr8yk13TVJqvuL3V5t5uj89emk73u5g4ju9TiJuuWmN73On5Iq/e2ONH13bQDAkpgZfe2uP6nQZL0wVkGZo9l6EX8MTZepYjVRRpTDnCMlVylthfWz03rUU4jFGszJey+jxJglrJYn23yw+v79DpO5xZLOP5wq+ZqeU4NVfA8UJcP7xvbaiXLVw/YOugj+sHnF0q4/oh3YGokTo9W2TgiHtdzOvo2rhiaRBGD7Sxj64LdnpN2b2r5USdSs+lN/S5eqaW2fKyLD3QljsJpbwxtv5NVyfr0acRKwtlDE1m66BPoz3gymrtcZ/SI+Mv/ann7nvvy1fPPYYzeX84Xh78l/70J08p/NnzdUFymv73x37q7Lt84+OHUYwf0tqYR1g3j+LD1Yqb4D3BNlW+/oVVtht99ppDgjDm+t0m81O5zOEYwfFC3rzTwA8i1nd7TFVsmh0HVZEp5w1MQxUSWklCtWAxU81Rzhm89PYe7Z7H7/xoA1NXMHWFi6er/PlfvILnh9zcaLOx1ycIYs4uVchbCkuzBcp5g1dv7DNwQnZaQxRZol62manZnF2q0OwMBdu9BKWCQZwk7LeGBGGEpass1IUsqOMEHLQddpsDGh0PTU5lQiXRXFAtGjx1bpooTliZLzJdsXD9mPmazfy0cHwaHYe5Wp5ayeC3X1yn0/cI4xhdVZiu2JxdKnFuqUwxDXD8/BdPs992qBQMygWTJEno9H3h8OYN3r7XYmO3h+MF3Nns4rgBr99pUrBV7u32qZctKgWTK6s1Zmo2G7uioUNThZxwMXfEQTqCu9td9ppCFq6U17lwqvquY2BxukApL4IspZxxXzGNriv8uT90iev3mtiGKooygWLuwYUbkiRxfqlCZ+ChyKJAb6855G4qyWboCldWaw9sAnn2wjRzNRsviFicKmTFeRO8P3T6QgZVNEvIXF6tZnN+v+XQ6Djc3GgTRjEFW+czl2b43BPznF0s4wYhb95pcnezw+ZBn0rBwDI1fuLpOVbmKwzdgG+9vMl2c8hOa4jrl/mzX7/EXmtIs+ewvtMnCmM2DwYYuorrB5xbqnBqrsiV1To31tu8ebtBvWSRtzV+4UunsQyNudphYvXqmRor80VeuDKL6wXsNId8/41d4jghZ2t0hwF3N7uoikLOVPnaC3PsNoa8clMWLFhxjCSLJord5pC+62MbGj+6vouuKQycgIHjI8sSedtgpmKxPJdnr+nSG3i4Xows+/z0c8vc2xEyibKUcHenD7KCpohgkoQIYrxyY1/IgCsyqwslvvDkLNfuNHnxrT3aXZdbmx2mqxZPn59irp4jSRKurzWzjvu5eo4rqzX8IMrWllrJwjJUPD+ikNPH5tDKfIlq0cT1Qtb3etza6CBJorBakiX+3Xfu4vuCTeu5CzNcTudgq5fKbSUi0SEc4DAbK4oicWWllskcjqCpMlfO1OgNfAxd+cBk7Cd4d+w2hxy0XfwwIokT+o6PbWm8crNBZyAaBr72/DKFnM7ybIH+MODySo3pik2r5/LazQaOG3JjvZUyz8RUigZLMwV2DobM1XN0ej62JQov+i4osky9kqOY0ynkdOZrOZDg9FxJfK8xYH2vh+tFNLoueUuHMGJtu4dtaHzluUVcL0KWhapF3wnww5h7O10URaZetliczrN50Gdjr4/jhmzsDhg6Yvx//sk5njhbF2w7jpBpvrXRYac5QFPkrAhFliTmazlOzxcJIiH13e55bOz3s6ayBMGet7bTo9Fx0zFeZWG6wEI9J5Iy1RwL0w69gc/mfp+DpoOuK8xWbebqeT57ZZZmx+XiqRJ3t/t0hz7tns93Xtvh9Vv7mJoKkkQxr3FqtojjR6xv97nutgijmHLBYPtgwFw9hyKLvX201gHstR3afY84jinndM4ulnj6/DQHbYcoTvjjPy32/NWFciYz+sSZOo4XkrO0+4Ip2XFbQ+5uje/FT52bYqZqi8Ruzxd7tQTnFstUiu/cRPmnf/Y81+60UBWJiyvjTnO1aHJ1tYbnR+Rt/US7ZYIPF3ESgyThehFJInFmsUipaPLs+SncKOb6rQYbB31yZkKrG/CgEqMkFow3fiSY+WUZJBIaXS9tfAw5NVfiq59dwgsinr4wnTXgXl2t8fa9FlEUc3erS7lgZGPVMhRurHeyoPDybIHpis21Ow2GbogsS/hBiCRJ/OCNXaIkYWmmwOJUPpOF1DWFJ87U6A8DTEPFSptNX7/VEGxAkmhUqpXe3YF95sI01bLBv/itG/hBzK9+6zYb+31+9oVTH8jzmGCCjwsUWeJLTy9wZrFEbxgwU7Vx/YB/8Vs3efntA1xPMMzlLQXL0nFcEfj3w3dOOAZBgmSLhs1nzk2z1egzcEJa3WHGfBUlYl1YOBZr+DBRmexH7xtTFQvbVMf8kgdB11W+/vlTbB4MyFtaFj+YYIIJPhj8+V+8wqs3D9jc7/P/+Ccv8X/8Cy8gv1tH7gQTAKausjJf4Hd/eI+hG6IqElGYYBkymiLiClEk2HJlWRQIF2ydmYrFdlPEH9oDH0USTdd5S6M79HjjjiAeiuKEwTCgVNDxvJCCrTE/lWPgBKzMlViYyaGrKoOhj66rWKZKrWhSK1vkTJVf/84arb5Ho+NgGyq6prA4k6dWNPmjP3UGU9cwdIXN/T4kCW4QsdcaUsxp1ArGGDlBMaejyJIgURj6PH9llv2Ww6m5ArPVHLWyiK0NnADLVDOm/JPi4iO4XsgbdxpEUZLF2k4qRvzBmzu8tdYC4HrJ5GefPzWJa0/wY4X+0Of6Wos4TpBlicsr1ftixqYus77Xpz8M6PQVFrc7nF0aL9CuFEy++pll9ltiTTANhSCM39UWfVSUCwaztRw37rUwDZUb6+0sb2XqKs9cmGJlocjaVof9tiBeev1Wg3bPY6aW42c+u8xey2G3MeDGRpuN/QFLUwW2m32QRZH34nSBU3MFLp+q0ei57DSH3Npoc+Neh7XtPhJgmQpFS2O/NUSTQVJk8qbIxe21XdxAqIvHSCxM2WiayrnFMpahomsyXhDTG/jc3GjRGwRIkmC53W0OCcOY3YbDrc0OMhIrcyVURbAVt7oubhAxW7VZWShzfrnMqdki3319B0mS2O84mLrCT392iYET8sTZOkkiCsxM/TBXkCSAJAp197a7kEjoWp+Lp6tZ4WsURtzb7nDQFrHY+ek8V8/U02YPcYAE4a8C/Ns/uIsfCnKBLz21wKm0OUNVZX7uc6fZ2O9h6iqztRztnkur5zFVtrImPuA9x4feDx52v5jg3fGZi9NYhoosCaK3oziam7p6pkock8UFT8LZxQrlvEFvGKAqEmGUiDxAOo6/8OQ8yzMF7mx30RSJl9/eZ+hFnFsqUy/bPH1+CtNQUWWJ3jDge29s0+y63N7soMgK2wd9FFnBCyIMTWHohUxVbZZni2iqzNCNWN/t0nd97u32GfoRX/3sMkmS4HoRz5yvYRkaSTKg1HMJIgXLUCkVDPwgRlNlmh2XwdBn82AoCmMTaHQdfuq5RYauz2u3WrQHPjuNIbIk0e57aIrCbnNIwVbpOSG9YcDajkQlb7LTHFAtmCiKjK7ItPs+MxWLWtHkK88tkbc1ZEli6AV0+wEN2SGKbQo5jf5QKLG99NYeQRhTLRpjRHWQZA1XJ+UyJ/j44LWb+7xy4wAQBGdf/8IKV8/UBeGSBLc3O0SRaAx84cos1+42ubvV4fZGh439PkmcYJkq02WLK2dqbB8Mubwq89KNBkEYsd9yiKIYTZOplkw0Tabb98lZGkM3wFBlRtyCuqbSG3hoqkIUJUxXbUxDQUZCUWTiWLAlD90Qy1Ip5Qx+7nPLTFdyacGzx5Nn67x+q4EfRrh+xL/7zl1+/vOnubJa5x9+4w1eu9Gg3XfRVZEbW50vkbM0NEXhymqdt+81WdvucdBxqJVMnjo3zeWVKhdOiZoXVZGzfa1cEGvKXD2X7Ylz9RwFWyOIYroDn7fvtQHRLH7xVPVD8d1tU+cXvrjKbnNAMad/6PucrinZGHmndXeCTxYe1X557uIUpq4gpXt0t+8hSxIycGW1xueemGNjp89cXRA5ffu1LeIENnb7DB2PvdaABHjxjR1MU0NVFGSglDf5/JUZbm91KRdNlmeLvH7rIKtXsQyFWsnC8yOmqjmeWK1Ryu8B8PS5Gm/d6+A4IYaucOFUna4bcG+zx0zF5KufXebebo9OTxBQPn9ljnNLTlaP9o9//Rrruz1Ed0bC1z63xNtrbcp5UUt4FMfrdf6f/+wlrt9tkQCbjR4/mtvnIFXzEM2cWc8HtqlxZqE8ls+vlS2CNO5+Z7tLs+MCIs9+eaVGt++hpc2rc3URZ7EMlbfuNfn1766RJPD7L2/xM59dZn46TxjGLM8WUCSJIExQZInZWm7sGgZOwNpOXzSVDwOmK7msmZw41VeS0v87lhbyg4jXbzcEccUJ9QSztRx5WxfXlDcy+z5DSlwtSaCqCheWK9k1Ha9HeieoiqhrmtQqfbrhOx7re326Ax9Flljb6fITLDzu0/qxxHGudjf85JEWzFZzKGnNuK6KhuVPGkxd5YmzojbmUdfNo5h4Zx9T2KaaDtTDR3QS82yr6wpJdFc4562ui+NFBGGCF8RISKiKTJQGS0xdo++FKIpC3w3wgyiVD5XY3O+zNFPg7FIFWZYwdZU4PZczixVW5ytUihYJorvf92M8PyZnanT6ARt7A3RdQ9MUJGQ6Ax9ZktlrOfSGYRq8FN2xPccHSWIwDJAQMuxSGsDQNZW1nT55W6eUF8zgc/UCK/MlDENjpiaaWZ46N8101Wa7MaTZ9chZumAq9SOmqzbdQYChy1kAOW/rrMyXKKdM2JIkjTGI39roCEaeRMIPI+5sd/GCiGbPx/EiWl3BpndnszP2LKIowdCUBxae7LeG2d87ff+BDPrHUbB1KgXzgc6jris8eXaKs0vCYBesJu/saMqyRKVgZs0eR2XnPD/KFAgehLl6ntNzpUmi6wPEftvJpMbCKKbd8zhI3+sMPFo9j07fJwhFd/z1u03ylkatbCEhUcoZeGGMZQiaXVNXkVJ63jiM2GkMU0UembvbXYp5EeB4+uwMF0/VQJLQVIV2z0NXVSQkFElGU2RubbQBUBSZnKlzZqGSzbsRdE2hUjRZmC5wZqlKpWgxVbGZqeWwdI03bzdAEoXJYZygKgrdoY9laMxUc0SxcDziSMgBD5yQvhMQpI1pcZLg+DFDV7D7dAY+mqKw0xgSxSJBEEYJQy8gQWJ+uoBpGnT6Pq2OS3cgAk+yJHFtrYkiC3YwVZXp9F10TaxLpqYIqfJErCHdvk8cJzheOCaZuN9yyFkalaI5lpyyTfHeSUHPUt4gSmVkQfhAza7L+k4PP2U01xSFg7QBDxBO5GhchGJcNDpuNlaiKKHZc08cU6oiUymaE6foI8Zv/eAeCeL+J0hZILQ78AkjIXt9e6vLQdshZ+nM1HIYmkoxZ9Ad+Nm4dL2I3kCoU+w0hqKRyQ1wvJCd5gBdVdB1BT9IxLyKhNO+MlfC0FU+e3k2K6S+s9lBQjBEDd2IOEmQZZnd5gAASZK5cLrKVDVHMSf2Ed+PMunugRswdANkSWZ5pkgUJzS7Ytx1Bz4kQpGmmNOJYlFYEscJ3b5PlEqTDt0I2xTsW3GSsvinf45kUC1DJES3G0MR7DVUdFWh1fNYmS9liZv9tkO1aJEgmk4E+53MTnMo9vOcaHqJE5nl2SJSeg0DJ6A3DPFTWelG26VcMAjDmL4b0B34dPtCJWfoiv9Gv3cUN+62sAyVnKXT7vu4QYxpqCzOFDg1V2RxusiXnlrMGjhA2F6VovnABg4Yt+88P8pkSmdrOUo58zAQk9x/TidBURSunq3f18Axwmi9mhTMPh68fquBpSsYupqt78WcweJskWbbpVq2sE0dN0iwzAePG0mW6TkhrhehKDKSLKNqKs2uS5IIJpvd1oDPP7nATz23PKagZuoqfhBn+1i7J1hcKkUTL4jHWH3224K1ZTQvNFVmryVUgxwvxPcF2+9xP0VThX0wShgIW2a0ET7cWM4QQxAmmZ371lrz4b87wQSfICiyxOJ0gUunq1SLJhu7A/baQ1G8ibDJ/RBkxP6XJA8+liyBqkrECNvzoOXQHnhMle2U/TVEQvgBQ1cw7n7UmOxH7x8n+SUPgq6rrMyXJg0cE0zwIcAyVP53/4vPoKsyL17b5V/+7s3HfUoTfILQGQTc2+2lRbJy6jvKxKgpOyUkEiSJhKaqGIaGGyZUSyYgEYYxcSzcRtePiGOh9BhGiYivRTFhCL1hiOvHLEwVKOQMZFmmnLfwg5hCGlfWVQVVlZmu2Ow2HYZemKmB3t3pYWgq9aKVKshKWeypPwwwdBUZQaIShjGdvkelaGb/KUfiXUki2LrPLJY5NVdidbGcqnkIH8LU1XeNi4NgzYwiYRAlCTQ6J8fJ7qQERgDNjku7f/LnJpjg04pG55BtOo6TE+fKxt6AKEqy4uxbm50Tj2UZKsuzBeoVUZj/sLboo6I78MnbosD4aKwMRLxhqmwjy0LROoyStME9Zr81pJg3qBQNNE1hr+GgyBJuFGHqKiXLJE4kojihlDc5s1zB0EUutjsQa2YcJ3SHPo2OhxMJIo4YGU2Tcf0IQ1fT+GGQFmaDaeiYusrpuRKyIjFVyRHGCZIs0e55OF6IF0RZLkiQ2SRsHwxJEHa9pqu4Xsj/n73/jrYsPc87sd/O4eRwc6hbuaq7qjqgI9AACJAEOCIIBnFkSZZs0YTC0vKMlj2ivGRZomRTHi+NHDQzlqUxJY0CrURRhEgxgQBBAGw00I1O1dXVlW7dnE9OO2//8e1z7j33Vuyu7uoG7oOFVX3O3Xufb+/9hfd7w/OkbQNT16i0hLKIqsikbZ3tehfLULF0lZ2GQ9cJKGRN8hlzMHfuxU69h64qxEAUiaSw/XPlZq1Hp7fri51fbWAlvsxC1qKQNSlmheLS0kYTL8nqjWOYXxvuI6oqMzeRGySj5TMmRydzQwUcAPXWsH9o5378Q+8S97peHOLO8PyQdi/gyHiWmbHMLd9dPzaVS5tDfsHboZy3OTqZY2YsOxQH6GOinMLQFBwvotHxhMJHxiSKY84eLYlzx7OoqoymiuIIkAR5nCRzeUH4ELtOgCJLtHs+pq6yuN4aMFIrskIYRXR6Pq++s83JmSLnT4zg+LBVc0XsVVaQFYVM2qDnReiaguOFSJLE1aU6ccQgyXJ5s0Uxa1Fv+5i6kih+SCysiyTU7XqPGKi2vSQm6uF6EYsbTUCorO80eqxsCSJJObEPp0bSFDJiPDquGIuWoWKZGp1eiGmo9JI2bVQ6qIogw7RNjbStI0kS1ZZzx1jmIT4cmF/dtV1bHY+tSkeo2GZNem4wmM8sQyMMY+otFySJMBI2eEyMrqk4fkQxa1PKWRiGIIEECUkSuTOKJIo3ZCQsQ0uIoXxiSUbXVYIoxgtDwsQ3D0LpL44ldE1FUWR6bhIXkCQMXTC7u37MydkC2ZRBIWNi6BphLNoL0O76rFe6aKrMzbVWogoi4QaRiIU6IROlNOW8Rafnsb4j4oZxDDt1Bz8IqbXcQc7LXkWO/pyyf01MJ3uLvfN/u+vfVqHsQcA2hR/u/S7g6KPfRw4LOL5/UGu5Q/bLnWwmzw9pdQNmkzV6aaNJEMakbR1DV3nrxg6j+RRPnhljopzh5cubyLKMqsh03YCbm20URUFVFBodn1rbxzY1TFPjymIN09R55FiZyXKa+ZXGUL7K2zer5DMmY6UUjhswv9bg1GyBU7MFlrc6dByfsVKKfMbk9WublDM2T54ZY2osx8X5CsWsxdGpPLqmUm+5g3y0Zsdlo9JFU0Ue3jsLNTRZ5dGjZaZGMmzXuweew9417vpyHVmWUGSJ9Z0ei2u7c+vr17YTBS8T29C4sdI4EM9PJ353JGlQwAEM8iQKWZN0omYx8GUYKhevVwbPx/VCXru6RSkryLZbHZ9q02G0IObmvXmEIIr0JMT6LgFvze9g6ELVNIhiFjdapExNEHh0hvMO6y13V3n0NjHY/j3tL+DYrHTouSGFjEna0plfbQzd0/3iMFfp+x+vXhfEj6auoqkKF6/vPOwm3Te++vL8ge/eWf3o3cd+/MN/+ebDbsJ946W3N9FVBUtXUGSF3/3O4sNu0rtCPzfm3RZwwPdJEccv/dIv8dnPfpbTp09z9erVwfeVSoWf//mf53Of+xxf+MIXeOWVVx5iK+8fuiYPBSr2bziAgRRVP/HB1FXkRD5YV4VjUVcFE70iKHopJkUMtqkhSSQyoZDds8nJWOK/1eT3+wtsOWsJyVBFQVFEojeAoSqUs+IcOblePqWDJBhgFCXZECoiydw2NWSJgYO3X6tiJvezV1Fi731LEuj7kjyytjGQ89oNdgmnoa7e++DoSz6rybUySXWXaSjIEgNZx5St7UqAJW3S7pCcufdYRZHeF6f2u8XetiGBcYf7OMT7A1MffuaGpgz6vK4KZhdFkQZs9pk9Y6P//vrXUBUxxvsOC9NUh96xqQs1jMG50u746vdvyxBziKrKgrU/gSRxTxv/vc4SRZHI2Nog6VJTZWxTIZM4DMXvqqjJuJBlCU2RUGUZOZFiV2UhiS7LEmpSXKarKrapIiv96wppVUsXx4vnKGPou8VVQgZ8mL2+/yxNQ5zfn281TcE0+nOpMjQPG/q7GyP7x5ahKQeUc/YGNPYf31dMGv7u0BHzYcJYUQSo+n3bNFQMTRn0XxDrzP4+ZOrKYKxpmlCv0DWxxpq6OrSmWYaCokiiv0qi76uyhJX0BTGGdteYdH9dU4WTQteEvPLeNhi6MuhvWjKH7NoUylC/1DVl0B4lkUoeXEdTk/sXc5GmChtBVXZtmb3zm5oodey1X7KJ3TBovzU8RvpjwNJVJElCTsZ7f/0GkQDbLzS0TA1FljB0WSSzKmI+sQzBIIIk7llL7KX997//XaX2/o4ikbUfTBX4gbV43/u57bGH+EgilzZAkpDlPpuuGNeyJJG2dSxDS8aRWPvvVJ6ryQqaLCc2gjjWSPqvLMkHxlAfsiwN1n0QY0MerMvK0I+auhj3e+uE07ZguZOSBu6fV26Fg3Pf/djoOnt9iqnb3NchDvH9hrStkTbVZLPct1PFmqUq8sAWvhUkOUkgSIo5MyljYMsb/XHdt31VmULmzipPhzjEIQ5xiDvj6GSOv/DTQq78X/72ZS7e+OgHfQ7xwcDUFUE+QmLQK2JtVlVhb0tI4m8yyKqwAfr+rP4+QpZFkEdVxHlaEgvQVbEfV5JrGsbu3t9M/tvQlaEkvr6dvt9Pbpu7vgBJYigYb+zZ00iSNPBn3Pp+1X2f3/0e91a+s1uhn1gBov22eehPO8QPFu5lP77XtyY+P9x9t3kHX1kfhq4gK8LvKksSahJ7FH9Th65jJD7RfhxS1+SBz7N/bctQBvOY8HPIWLrwh/Rjov1gvJ6Quhm6giKLvVm/EC6VzI99hXBxjIh5GLo62KcJQi4lmaeTuEcS3wWwNGXoXvbOu4oiYd8lVtO/r348deDv3DN3pi1tyAe0vx/sRWZ/LMN6d0lZ/fVnt53v/5x8r+vFIe6Mfoy/jw/CT92PVeqqPIghypJEyto/Z2nJv0meQtLOtL0//inanEv3x38Sq1DFWC/nd30juiaTsrVBfENLYixpS0WSRAxy77X6caF+onoxYb9WEtK9XDKG+v3R3DPGJRJ/pwSyrKApMra9OzY0dThfJGOLsdvPN+g/j/54789VmX3xi8OY4kcDe+NukrQb54OD7zCdxBxVRewBxDiRUSQJ21KH5nVDVUgZu59lZTjmJ2JlCpqa2P2yiEUqUn9PIWNqWlI0JWKRqipjGiqKJNGfHko50e/25ycM9hx77ilja4N5RU72GHvXibStoSd7DRBjQZHld53Psve8fg7AIQ7xYcWBvJA72H7qvjV6v42XywyvB/21a/fae/PZZHRl93PKPDjv7MXefBdZloZzDm1tqGCguC8Gkd+nLLJ33rCsYfXubGq/kuCd17S9toKhKljG7rUK+57H/nvaCyXJvexD+Ftu/7v7n215TyGXpsroQ3PjwYKzvdhLzgcHfRt78w5vlX9yr+jbFX2kDosvDnEXTJVTQ3kDD9t/8G7w2NHsge/OTJUfQkseLM4ezT/sJtw38vvm98ly6jZHfv/j+2K39vnPf54vfelL/Ok//aeHvv/7f//v8/jjj/NP/sk/4c033+Sv/JW/wle+8hXU+0jsf5jQVIWTM3nWdzooisSR8YOTSF+arNH2yKUN1EQqXZYSdQsQalqRMN5GixalnIUfRqxstrF0me16Dwko5gz+6W9cpN70UBQx0U6WbZY3W/zedxaJ45jpERsJmUxK5excns1aj0qjx/RImlYvIJfS0fIyjZZDve2xXesRxxGNrkevFyDJEhPlFIoi0el5YlOnkDg6ESz9HZdnH5kY3GM+Y/Dim2t0HB9Nkbi6uMN3Lm3ieBGGpvDMuQlsQ6HW9CjldOJYYmG9ySNHCrx+bQvPj7AMlXzGYG4iy0aly0alg64pHJ/KEUYx82sNFFkaVKsWs0ZyjgmxkKhbWG+wWe3yc194lONTORbXWzheQM8NeHu+QjFn3vIdZWyd71xawvMCZidyyNI2YyV7iKm7j1rTYWmzhesJRgFZloTSh65QzlsDdnWArVqXte02rifkiw1d5ch4lpSlMb9ap+sEFLPmQNJ4L9pdj5trTXw/RFVEQuto0frIVsN2HY9vvr5Gs+MxO5bh2XMTtz223nL4ozfWaPd8MrbGRDlNIWtyZDxzVyWT22Gj0uY3v3mTjuNz/sQIn31q5p7PLWZN/uiNVXYaDnPjWZ46O0omhhsrdWJiynmTp6xRbqw2sE2N07MF/m///Ls0Ox4zoylKBRtdU4RUL0J+ut31mV9tUG04nJ0r8vrVLRwvZLJk8zvfXuCJ02U2qz3euVlho9JhfaeDqik02x6ZlMZI3uLv/YtXWN5s4noRpbzBaMHmD763zPPnJyjnba4v13j96jZvL1SJophWx2NyNMVjJ0boOAFXblbxo4gT0zmqLQcZyKdS/Lvfv0bP9fH8iGLO5PRMlhgh/7tdd+n2PBwvwPMiPvXkFJ2ej+tFXFuusVN3QJbJpjQ+/cQUX/3eMlIMp48UuHByhIyt8frVbdK2wtJmhzevbaMk816r42MaIoE8jmNKOWvw3OpNl+urDWotl4mixYXjJc4mDPaaKnNyJs+b13dotF1m9PRAfhng22+usbLdJpfW+dQT07fdMJZyFq4fUm+5pCyN8VIKWZZ47NQIK5vi/CdP7co+To1miGLoOQGFrGBEzNg6figYgfIZY+AE9oOQGysNem5wYJ44xAeH//WPn+XVK5tsVbtkUho/8rFpLEtUny9tNEmZGpeu7xARC1WmRDbzqbOjPHVmlCiOaXV8SlmTnbpDrECl0eMPXmkjyTE3VhpYppCvNHSV00cK+EHMsak8o0ULWZKYGk2jKDJv36zwte8tE/ghlYaD4wcU0iYnZvPoisJEKYWqyFSbPb728hJxLJJCiSXyaYN6y6XecljebCJUwGN6TsjMaJo4Fux2y5tNvvPWBpahcOF4GU1XB8kdI3mLiZGUSCaZkgjCiHzaoJwXNsv8ap16yyNr67S7Hq2ux/Jmi4s3dsjZOqqqoKkS2bTOa1e2mCinGC+lMDSZ//TKMp4fkEvruF6IrkncXG2wtN7iiTOjHJ3MYRsqf/j2CkEYkk3rBAE89cg4xDGKInPumJBCb3U93lmoEgQBzV7AxSBmpGhSa+rYZsijx4oALG00qTQcuq7HS2+tE8cxRyez3FitA8LWkmSJ2bHMkDTpvWJuIossSYmSmFiLa02HP3pzDdcLGC2mKOcsLFNlejRDHMcsrDept1w6PZ+tWhckiSdPjzA3keONa1t887VVZEXmh5+e5fRsge1aj9XtFooiD+SoD/Fw8PlnZonimNXNNkiwtt3m7fkdfr3tIxHj+BGSBFEI0R2u4/oRfuCRsTWiOCYMYmRJ4tRcls26w3a9S6aq8gv/4BucOpInnzE5faTASN7mzevbVBoOpq7wyLESM6OZ3SQBQ+XEdJ7NShdNkzkynk3WwgLLGy2+8cYqPUew8DxxagRFkclnhN38T/7TW7S7HueOl/jhp48MtTdj68xNZqnUHUxDYWZ01w4Ow4gbqw1WttosrDXJpTQeOyXU5gCKOYsff+EY3720gamrfO7Z2Qf+Xg5xiA8jjk5kOTqVZ3GjTa3lDAq2Nipt/HBX5e1WCEMIBXc3W7UuKVNlopzi7YUqjbaDIsdYhoKpKZRyJr/97QUcV0h0H5vO8fHzE4Niyf3o7yWjKGZ6LH1XRrn+GO/bsHMT2Xe977oVHC/gxkoDzw8ZL6WY+AF28B3iEId4uPjcs7O8dWOHr7+6wn/7P3+Xv/9ff4rJkYO+v0McAoRfd3WrxUalg23IuH44UGvtcVDFWY6g2XIJgxCJmJ4nfFNHJzO0ez49J6Dn+mxWQgppjbXtVqKIKxKbs7ZOo+nw1VeWSJkqI3mTWrPHTtMljmKOTuWYGkkP+uxIwebpR8b4zqV1gjDm5EyWKJZImTpn5goDZWuAE9N5FjeaCeN7TDZlMFFO8c5ilZ4TDPnMR/ImN1bqrFc7OG7I8laTUtbisZMjd91PO27AjdXhNX+/r+1WeOHxKV55ewPPj3j0WAnb/OgFlw9xiPeCsaKNH0S0uz7ZtD5gn9+LiXKaj50dZWGtRcbWeOrM6C2u9MHhSLJn2Osri5I4XqPt0ux42IZKzwk4Npllvdplpy5YbcMwYm27TdcJGC/beJshmVSKTVlibbtDzw8Iw4BGy+U3vnmDbErnwokyn31qhjeu7QwYcbtuQLXRo5wzUWWJrhdiG6qIvRLz5vVtVEVmbiJDteHyxnqDP3x1GU2VKOSEGrqpKUyV0wRhhBdEZFIaN1YbuH5IIW1wcjrPt99aY2mjybHJHMemcrx2dRuA6bE0Vxaq3FxrsLje4IlTI/z+dxe5vFAjimOuLtV4/twEM2NZjk/ncLyQhXXBjDw7lmFqJE0UxWRsndGCTRDFXFmssrDe4Mh4lmfPTVDImpyaKfD61W1sU+XxU7d/77NjGSTg5cubKIqEZSis73RodFwyts7RyRyz4xkKGZMwjJhfa9Du+uTSBuW8ycJ6kziC2fEMhq6wsNYkk9K5UHz/GcpvFZu5FTwv5Nf+8DqblQ5jpRQ/8+kTQ4l2H3as7bTZrHQxdIVjUweZ6AF6PY//8PUbVBo9ZkYz/OSnj6Eot7/HVtdjIdn/z45nOD1bYGW7jSwJX/i9wHEC/ulvXmKj0mG8lOJ/84VHMfckhDpewPxqg2bbww0CcimDiXIa21S5udZgfqXGxfkKrit8/YsbTWQJvvfOJpahEscwXkzR6nnkMwZHxtJEcUSnG2KoMpcXK8hRhBfCymaLnhdQzhnESEwW08hJovoTp0YoZA3+5W+/Q88JmBpJMTmSptX1KWUNZEVCkSSKWYtLN3bYqHVRZIknz4whSVBtukRhxNx4mq++ssRE3mB+tY7jRygSlLIaK5tdVE1ClmSmR7N0eh75rMF4IcVI0eTSfJWtWgfPD9modjgxnWe8lMILQi5e32FuMkvG1innbY5P5rh4o0Ixa/LYqTI3lhs02h66JnPuaJFS3maynGJlu30gpniIDzc+fmGK71xax3FDzswVBgSFm9UuL721TrXpYBsKrZ6frDuiCCljG4zmTRbXm6iKzPHpSWxTo9F22ah2yWUMJkdSNLou1aaL44WMF1OYmkI9dGl0PMYKJlsNB8fxSVmaIGY1YqEIoyt0HZfNaoee6xGEDBI4M6ZKyrKIoojvXtpkYa1Jzwv47tubuG5IPqvjuiHbDQcFeOXtDaFSkTGEipatMTeR5ZlHxpkaS7Ow1uTacpWvv+ZiJIUWM2Np5iazTJRsqk2H5c0WkiTx1ZcXabQ9Ts7k+bN/7JE7PtsTM3mWNpqEYcxEOfW+qwN3ej7zaw3CMGJ6NEM5//6teYsbTaoNB8tUOT6VP1Q+/j5AIWsyM5ah3nKxLZWJ29gvIHLKTF3hm6+vIcvwo88cIZvS2ar2MHSFc8dK/ONff4PVrQ4TZZs/9SMn+J++fJlm1+f88RLPPTLKv/7qNYhiPv7YBNdXGixttJGA5x4ZZX61zpXFOvmMzh//zHG+/M2b7NQcZsfTPHK0wD/+xjyuH3DhRJlH5or89rcXAPj8s3PUmw6vXtlC1xT+wk+dR5Il1nY6FLMmJ6by/MrvvUO96XJiJsczj44P7snSFc4cyfPb315EkSX+5OdOc2l+h4s3KqQtjZ/74iP8wfeW2an3KOctPvnY1IDkEeBLXzzHv/nKVcIo4seeP0IubfLdSxvomsLnnjvCr33tGteW6uSzOp96fIJ/8G9eo9LoMTuW4ad+6CjfeWuLrhtw5kiB00cKLG+2AJgZG84p2xuzT1kan31qljCKqTZdTs7kKWYM/tXvXsb3Iz75+CQjhRRfe3kRVZH5iU8e41//3mUu36yRSen86R89STats77dYXIkxQuPTbC208X1QkYKFjExL1/aJIpiHjs1MlQgk0sbzI5nqDVdLFOllDH4V799+Z5svnzG5OPnJ4XqiqHw7KO3z7U7xHvH/j5zfCr3oSICvxecOlLkC584xosX10iZGj//E+cedpPuG+XyR79gA6CUgUpr9/Mv/NnnHl5j3iU+88wEb/3b2uDzT39y+iG25uFCiuO+mNNHH5/97Gf5R//oH3Hq1CkAnnjiCb761a9SLIokvJ/92Z/lF37hF3j22Wff1fUvXrxIHMecOHHigbX5w4AgiPj1b94kDGNev7aDF0TMjKRBgomSyaWbDXquT7XpUswaTJXTzIynkQA/iJhfa+J4Iadn8iiKxLGpDPOrLRptl3cWG5iGzFa1h5Yw3cuSYLtodQPh/HQD8mmdrhNSyhmUcxbHpzP8xAtHAfidl5ZotD2Wt9q0Oj5dx2er3kNRRIHDSN5iejRNMWPQ7PoQx8iKhB9EnJjK0e75zIymMHSVsaLFZnVXOiyT0vD8CNcL2ah0aTs+uZSeFMWIfxUJXnxrS7AJ6Ar5jM7//k8+BsDiRksklic4PpUlv69y99e/cRPXC6k2Hbwg4rlHxlBVmTNH8kNJlFEU88b1HaIIljZbhJGQr253feYmMqiKzMmZHNmUSFx962YVYphfa6KqMrOjaWRZVA5XGu7gukcnMwccM2/eqOD7IutHkuDCidJHWjr1xYsbLG+2B5+fPz92Wwfi77+8QqXh0Ox4dHoBj50qkbV15iYylHJ3d2BdvnwZXdc5f/784Lt//p8vsVHZlbv7kz96iiMTuXtq+0tvrXN9uT74/Myj49imytp2BxDyh10nGPSrL3/jOq4vJEXDIOL8iTKyLJFLCQecoQvGp1rTodXxaHV8ImLqLQdDUxkv2URxzFgxxRvXtqk2HGJiWl1fFG6NpFnZatLqeHScgCAQMrxjhRSnZvOMFm1++Okj/MevX2Nls8XCRotWx0NVZXJpHdtQUWQhodpxfHRNYbRgUciYLKw1afU8wjBCkWWmxzIcncxyfCrPdqPLVqXLlaX6oKjs/IkR/tjHj/LOzQpf/uaunNnMaIaTs/mBFKGuyUMBhq+9sszLb2/Q7IiCkDCM0DWVfNogCCMunCwPiqgKGYNvvLbKTkPMC7m0wRc+cZTpPf2n1fW4fLM6+JzPGJyaLXB9pcZLFzcG3x+byvHxC5P39N4fJG6s1IckYE/NFg7MQ4d4sPje9753YB548eIq33xtbfD53IkyU+UUb92oEIQRlxeqjBUsvEBIfz+aFAo98+g4p2ZFonLX8XnrRgWAr31viVZHJHWvbHeYHUuTsnRmxjL86c+fuW3bwjDkH/zb1/GDiI1qh0bL4+RMDlmWee78BJ9+Qhi9za7Hf/rGDYiF9KcEPH5qhMWNFlOjaa4sVnG8kLSlUWk4PHl6lHrbRVcVFjcavHZlG0NXaHd98lmDc8dKtDoez1+YQFdVpkbTTN0iYWlhvclWtYsfhNxcazJesllYb9LseIwWbAB+6Mlp2j2fZsfbfZ7HS/yL37pMo+3ieiEdx+dzz8zyxvUddE0hnzaQJPjpTx3ny9+aJwxjmh2PruvzqcfFPc9NZBktit+otxx+81s3Abh4YwfHCxjN2zQ6Hh+/MMFkOU0+YzBSsLi2VAfg7/3Ll0XBnARE8Cd+5AQgk03pjBRsZFniidOjB2RI3w3+87fmqbV21/IvvHB04KzfqnVZSGRfv/H6Crahkk0JVbIvPD/HP/r1iyR1fRi6wl/+44/x+rVtSL6zDJXzJ74/NqYPG7eaC+4FcRzz6pUtrixU+OYb62zXugRhRHiLhGwZkjRs0fX6GzeJJEgSg64LBipFkUhbGilLp1Lv4Qchui5UveYmclw4UWar1hXqfAleeHySuXu0Wfrrax9PnR0dFGv8i9+6xPrOri30J37kFEcn7+26SxtNNipdXry4jusFFDIGKUvjp3/o5CFL7iE+9Hi388C94PpKnVff2cLzQ64t16m3HDaqHRwvvGMBx34ItmyVsYINkkQQiPKOI2NpClmLatOh2nRw/Yhi1uD4VJ6nz45zeq5wy+u9cXUbNyE/kCR4/NToHQOD/THex9HJ3C0Tx94t3lms0mzv2gyPHisdFise4gPF+zkPHOKjB9cP+T/+w29xdanOZDnF3/8rn/pIspEd4v5xP3OB64e8cW2bZtvltavb3FxtUGs5dHvBbQu5JUBRJXRFJghjjk3lKOct0pbG7ESGX/3qtQHRj+OFxMRISERRjJn4xHeaDkqiADiSNynlLUpZsSbblsbP/NBwzGO71uPmWmPwebxkM3sLAqNb4eZag+3arg/+xEyeYtZkZavF2naHpc0mN9eaZG2dlKVxdDLLc+cm7hi43r/mnzte+sgSEh3i+xOHNsH7i/WdDsubLapNh516j1LepJS1CKN4yBeXSem0Ep/i4kaTXNqg2Xb57uVNmi0XxxcEakEYUcyag6T+/+3PPo4sS3zz9VUW15u8vVCBGMZKNlvV3sDf3ux41FvOwPcWx3FCUuPv8cfJlLMWLzw+xVjRxjJFwcnCepNq00FXZeYmc3znrXUaHY8oinG8gLNzBZEomxBIBUE0KDhIWSqOE/CtN9cIwxhkQaTzEy8cp5g1aXY8gsSxdCsf5bdeX2VhvTn4/InHJhkt2Fyarwy+y6Z1zhwp3vL5X1+u8eVv3BjEV10/YHo0AzFEcczHzoySz5g8eXqU1e026zudwbmdnj/Yo3UdH3OP4kgpZ3J8On8fPeH9wx++usxLb93a73WveFjzQLvn8/aed5lL65y+xbv87Rdv8ub1XcW4Tz4xycfPT932uq9d2cIPdmPJT54eve8ks//wtat859Lm4PNz5yb4mc/s2hxXFqs02h5LG4I4cWY8g5WQsUVxxH/6xs2ExC5OYoIRYQjVlouUKNoYmiwI+zIGj58aZWmzxY2VOitbLSoNhzCKiCPoe1gtS8U2NE5M5RgrpZgaTZMyNX7rxXm6Tsh2vQdEHBvPoxsK40Xh+5ckQcb4vSvbg2tlbY0/8188Qqvrsb7TYbveZX2nS8cRMej+cX01EdNQ0BSFmbE0hYzJ9Gg6sWfEcV/+5g0CPyKfNVBliY9fmBr4XPqx0HbX4+09MUtJgr3ZPmNF+5YEj4f44PB+zAW/9vXrdHs+AG8vVMinDHYaDrIE06MZUqbKN99YxQsioditq7zw2CRdx6fV8yGGUtbg9Ws7tHs+nh9i6AqGqpDP6kSRxHqlTcrQRKwihsmRFGlLQ1Nkek7AVq1DteXi+yFhFBPFgu29mLOQZTg1U6TV9eg5Ps2uT7fnEUbQ8wJMXaHTC4iiCF2TE4JRm2OTOUaLNhPlFI+dHMHQFP7dV66yvNVks9pDluHMXInHT5Z5/NQoixtNNhM/4+++tECt6Q4St7/4qaO88NiHJ/Hv4vUdem4gPkjw+MmRwRr/IFFrOlzbk2syUrDuOTZziPcPH6RN4HkB//5r13ZzZ3SFP/HDpwZ/32/j2KY6pMx98fo2cSLF0O65rG51kJNCBUliiEA3CEPUPcUA11fqA1shikKmRzPkEgWJTtdlq9ZDSmKSpZzJL/2lTwzO/bWvXxvE4AE+9+wRnjgtcn56PY//8VffGNjXXcen5+4SXli6wsnZ3fjFueOlOxYk78Ub17b4nW8vDj63OoJ8s4/RosV4cbdo5seeP0I5b9/yWntj9gAT5dQQ4erf/WffoZH4MaI4JGMZA1WVdtfD9Xd/t5Qz+czHdsmCZ8YyQ4RV92OX/ecXb/LWfdh8h3h/cKt54G595hAfDP7gzSv8P/75O0Pf/cb//ScfUmvePX7iv/ny0OcXzo/yf/hzzz+k1rw7/PRf+zLBHj6jsbzBL//NH3t4DXofcPHiRYC72gTft1kxtVqNKIoGBRwAU1NTrK+vv6fr+r7P5cuX32vzPlTwg4jNpHK02+0RhFBvhsiSROC26HUDum5IGEZ0uw7NVsRK1BLGWSxYwIIAtnZ8NEUmcmtUWyH1ToDr+gRBTBBGxHGIIkvEQBRK+H6MD4RhTKfbI4gk2p0IXfZZXu1y+bJISl5ZbeL6MY2mh+PGtJMNnnAOQqfbo9mMCFyJrhsPGErDCNakLl4IsVfH1GSqOwqd3u7oN3SZIIgJo5idpo/rx7TrEo4f026If/0gwnVdAh/iQCbye4M+sFrxaO+5ntfWyKeGh9Vawn5T7wSEESwue+iqTNzbJGXuGrhBGLO4Lu55o+YRRWBoEq4fI/sNNFUi6GyStRUcL2J5yyWOY7aqPrICkisq03ZMmY4T3bFNC2u9ocQf1dtGUx8cG+oHjZuLHertYPD5ytU2neqtk9iXV1p03Yh2L8QNYpaWXXK2gtPSKKbf3ZToesMMeR0nuM2Rtzo3OPB57wY+jGPCPS/L86NBNmcci+O1RF0ojGLCMEaSYqIoJgaC5Nw4cabHcYzjhQMDP4xiJJnBb4RhiO+FxLEIQAB7rhXj+SF+IP7uhf0NWQTIhGFMEMVARJScG4YRUSTGud8/HhF89pKASRTFeH402BzFCPbg/rPp7Xu+PdcfckgG4XAtYi85L4pi4kj8rq5BHEfC8bTneNcP8cPd68dRPLRJAxEs2Yv++a43/H0/me2DRrAv6ze8n6y+Qzww9PaNe9cJBnNDnIzXIBJjM4r29ME9c8Devhz4EXEcEyadvf837y79LAzZdZaEsRj3gzb6g+M8Lxhkg0dxTBwxUPQJw4ggiMQYSo7xgogwjAhlwYIXg1iHEQoAcSTW5CgE1IPjZnBfe+Ye8a9o794x7QXRYL7Y+2z6zyqORbvcQIzpvoM2jsELwsEYjaI4mRcjFEUeGit7nSJhmLyXuD+2xe/4QUQQ7DZs8NqSf1sdn5StD+6l/24fRBHH/vt39syD/fuI4kjcX7R7H04Qsad74fuhOH7vd7eqFDjEB4o4Fu+r6+7OEbc9lt3Xt/+wfmFHFMfI/XkmiAmSda3/psNk3PlBhOdHGLo0cMC67r33h/02y16HqbdvTex0fe4V/TE0aHcy93h+cFjEcYgfaIjirv66GSV7ag5OBvdyrSDCC8KEIVvMF34QEoQi4CrGXTxYQx3/9vuZYI+tGceibRq3T+LYb6vvt13fK8L3+fqHOMQhDnE/MDSF/9PPPct/899/g7WdDn/3n32Xv/2l5wYB2kMcAsSem2RPEIZiX3c3mq3+Hrzvq+vbCI4X0O357OXpihM/gLTnsx9GxFFMlCzZnh8N9gni80Ffw37/0v41/U7Yvx73fQH9a4TJHjza4/OI4pg7pTTt9zP4t/E7HOIQh/j+RH9eGfjh9vhKrT3r7N75LExiAa4XQiz2Mv14RAwDf2YYRERRhCTJ+EEo5qdIJEcFQZTEQ2IkSSIMI/xw1/838KHuaWscCf9bFAvfZBTFeMl1IfnNMB7su/pzvOtHmLpMFIrzYuLB7zpeiOMHYv8GyDH4vrieH4RDc/atfJTOvhiL4wW3natvhZ4XJrGf/vuICYNwoODo+dHAvxpGw+uF64eDIo4geS5yskp9mPZvXef2fq8PO/a/u9ut2b39vr27xDL3vp9+jPF+04/3x/e67rDPcNc26McbEx+9H4oxl/grQPj+dUXa9Y+HEaAMfPh926CX/MbguEjYRWEMirQ7f/SfR5gctxvrTXyTUYgayYRxTBSCoghiyv7zkKS9vxkM3U+fSDGOQJLBD0MURYxvlN25qj9eXC9CVcV81PfbBGGM74eDIo7BtfeNG9cX/p4+Dv3/358YXt/EugJiTQmiiK7nD8WGwkjE2YIoHvgSu47YN0R71tJQjghCkVtDJM4Tf40JgpAgUFBkCS8MkzyDg7GyKIwglsQ+JIrFGhGKWFWcJDT0x1kci7HYz1kIQrF+iP1RRKSI39qNu4mT+uNz73zn+uHQPqjV3S34/jBgaCzGHFgf35ff4cO1th7ig0Hfxu3D37e/32/jOPvzk/xokJ+0P98liof7bc8JyaT2rDlByK73AbpOSC7heHT8cMg3sd/v4Lj727lrI/S8cGhO67oB0p7fcYPhc/fna90JHWfYFum6/lBhyoGcD//2Y+qAPb1/jd7Trn5OhGn0rzv87Pbb6wdzgPb6fcTn2wmqufvf+X3Egg/x/uJufeYQHwwWbzgHvvuDN6/wmQunH0JrHhzW9hDqfVSwP72xex/z+fcbvq8jSHtlrAAehOiIpmkfGiUOwTAdkEvpQ07KW+GP3lyn3vIoZHWCMOboRIaZsQztnsfiepvJCYu1nQ65jESr6+NHKlMjKR45WuRr31tF1kKC2CWTNpA1jdPHRgmjmGbbRTUD6i2HbNbC8QJ6sYKHj6oHWKZMJq0TST0MVQZJImUqmIbKxk4XTVNodT3SlkrXDSnmbCxD5dSxMkY2y7GpHEqqzosXNxhVfCpNh2w6Zn6jjSKJTd7kaBZDk7FMHc2MSJkKmqrSc3xyOZMgiCgVLIpZk/PHi1xbbrBe6aKpMo+dKOH6IW8v1FAsn1rLFawdQUQ5Z9Jou2RsjYa7jedHqIrMZz42ydmzokp1pufz+tUdHE+oiJw/flDRItArvH2zRjoboqkSx2cLSDJMFG1yaWMoOS030ma71iNb8IjiCENTaPd8Rgs2tqlyejY/YKjJrAhp1FTeQVMksimDsaJFPmNwfaVBGMaYhsLp2fyBNhXGuqxuCSacUs5kbiLD+k6HStNhvGi/r3KO7wcKo12+9eY6YRiTsTU+/dQU+i2kggGsfJOX394i54tEqEeOFbAMjTOz+SGJvdvhVkVcz54b5/deWiSKBcPJian8Pbf9kaMlbq43cZyAfNZkZixLve3SdUTiYtbWKecsOj2fnhdw/kSZN69toyoStqGjKRKKIpj0M7aGoqh0HI9mx6PRdsmmDDwvQFEES0zH9Tk5U0RTJHRNwjBkmm2XUtak6wR4QcTZo0VevbozyCrNZQyspOBI11S6js/kSIpKo8uiHyLLEkEQUcwZFNIGjhcQxTEdJ2I0l0JThMzq3HiadxZraLJgnClkTTaqHcIo5vhUlq1qJzFSI0BnLmGKmZvIEUUx7Z5PLq0xM56h3nLQdYXAjwbsV4+dHCGfMZgby3Dpxg6WoeL6AeWcRRSBqsqMl1MoikS7K+bPydEUs2MZLnWqSBJMjKSGVDgqjR6uH2LqCk7CaNiveD8+nePaco1210dVZR5JlBUcNxBziaEMsRi8X5gop2l1a0RRjG0KxZFDfPB46uwo33hthc1qj1xao5gXkp+NjivkjU2FUtYUKksJU6RhKKRtg+1aj3bPpdH2kCXhAD11pMDVpTqyLByPPddHkuBTj0+xUelgGQpdJ8Q2VXJ73rmuK5yeKfAHry7jBSEZW8P3I8yUwlOP7MqQlvM2kyMp1rY7ZGydYtbEMlRsS2Wn0SNlacQ9Hz+MMDSZ1a0WWjKGMmnBZhWEMZaukLEUtus98jmd9UqHUs48oPQQhBE79R6qKtFzArquj2UohFFEKWcShD3aXY9cxqDediGOBwxSsgTzq3VmJ7JcW6qhawq5tFDumpvIslXt0e55PHqsRD5rcXImz7XlOilLo1wwURQZPwx46a11LFPhR5+eZSRvUsjoXFmskbZVrEhFU2VKWZPp0SxS8ptXlqqUsyamoTE7lmJxvQUSpCyNx0+PUW87WMl6k7E1duo9bEPB8QXbUTlvDdbtO6HadAZB564TMDOW4fKCUNwaL9mM7mEsH8lbbFd7uD7MjmZY2W6xVQt5+pEJRgo2p48UuLJYA+CJ06PYpkYxa1JtOiDB9C0UUu6ESqPHylabYiLde4h3j1rTYWmzhSJJqAnr4htXd9AU8AOhurHfVXO73UsMSDGoivjXDwNkWeXoVIZuL6DZdkmZKiAxO5ElbelkbR3bVFnebCOrEpmUzmTZYn2ngx+EaKoiVLVuw2b79KPjXF2q4XhiXXzq7Oiev40NbKGRgj1QGALhSNyp95CAUt46UOg0VrS5ulhDVxXanodlqsyMpQfqM4c4xA8iem4giq1i2K51kWUJ1wsIg+Hgxb0gjsE2VE5N52l0PBptD1WTOTGdZ6fpslPt0HUDZFlmpGBhWxonZ26twgEwNZJmaUOQQJTzFuZt9l19jJdsai2HMIwxdIVy/sGO7clyiusrdeIYsin9kPH+FgjDiO16D1mWKOfuzTY5xCEO8e5RyJr84s8/x1/7H7/JpfkKv/TPvsPf/PnnMN4Hxs1DfDRhmxrZlM76ThtVlYljQVpwp7CtIotkrTgWZCz1lotlqHz8wgSqLJSjN3aEjy1lKrgJMVEMZNMaI3lrkDygyhJn54pMlm02ayJo+eix0uC3+vZ7GMVomozvRyiKxHjJvuc1ZaKUotEW7PKWoVJM1I/HijbVhkMpa9JsC6KjlKUJpZC6c0df2uRImuvLNWpNlzCKmRxJkbH1w3XtEIf4iKDvG1RkmWxKo9ZyhS8uZxHHMTt1B9cPkCRp4KOrtVyCUPgORwoWN5ZrNNoOPS+grJis7bQZyZtUGj0x12RNoSpc7xGEwleeTWnoisx1s0YUC/9YKaeLxGhdgTimnLfpuiH5jMpEKc3iepMgCGl1fUxDZaKcotJ0MFSFYlbH9QI2az0sTebkkTzLm226TkCISOrWNJnJks12rYuhygS+StsJqLcdNnY6WKbO7FiGzz41y2988wZ+EJFLGxydzrGw2oQ4ZqKcotnzkSSJKI45MZmj3naxjCqOFyDLEtNjKbqOL3yBS1XmVxtYhioUMvbh0WNFtutdEUNL6RyfzKGqCqoicX2ljqErfPLxYfbyatPB9UIKiWLj7HiWRssljuH4VJZ82sTxQmRZrDWKIlFvuYzkTaoNhyAUMc6zRwtsVoSCx9HJHD03oOuIe5go35+f8v3EnfxeH3b098KtrockiX3yrfDMI+MsrbVwg5CUqd71HqdG06xstgHB7K6p92fPdno+j8wVeXt+hyAUjP19pXAQvlJFlvCDkFLOZG2nQ8/10TWZbFqn5wTMjqW4sdaEGE7O5Ol0fdZ3WshSTCqtE0Ux5YKJ5wcoGZ3V7RZn5wqsbbfJpYQSj20otHsBuibjBxFpU0NTJOYmcqiKTMrWeePaFqos0+q4aIoYG9mUQTlnUs4LJY6O41NI6+iaRNcJicKYUsbgxTdXEqVTl1LWoFLrUc6Z3FxvABKKIvPo0RLLmy0URSIIQzIpHeKYVGIXZsd0VjbbHJ3MMr/axPNDjk7msG2VakM8p0eOlfD8kJ4TEEYRiiwKzwppg0bHRVUU2j2POI5JmeoDH1/trsfNNTHPnLiD3+gQDx5dx2e8ZHN9uY6pqzxytEQQRPScOilbJ2VqhFGEqkj4foSqKhybzDGSs7h4Y4etaocwjrF0iU7PQ0asyylLJWsbGJpEzwlRVQlZQhToJWQvnh/iez6tXkC7FyARi4IPWUKRRUp1xtYp5Q0MTcZRZWbHMzhuwLXlOjEijqipCtvVLkEcEfkRxXKKkYJNxtYoZAwKGYN2z2ej0qWct2i2Xeotl2xKKPedPiL63HgpRb3tEoYxHzszwncvbRJGQoHok+cnH9gzb3Y8Oj2fbEonCCO6TnDH2MmtMFlOcfHGDlEYMzueodUVuRsjeeu+VY3uhGLWZLPapddfW0u3XgMeNPr2WxhFlPPWgXykQ3xwsE2RV/PWfIUojjk5k2d+tUG765K2DZ5+dJw3rm0nuUM6n3tmjm+/tU7PDZgdy/LcuVF+76VlImKeOD3Gy2+v0WgHSMCp2QxIMcubbdKmxk988hhfeXmJZsdjJGfyQ0/O8Fsv3iQMY0aLNj/89BRv36wD8PELE7x+dYfNag9Jgk8+PqwE8eyj46zvtAnCmGxK59zxIt+9tEHP9Xni1BjHp3Ncmq8iAT/8sWlevLjBynYLQ1P4Lz9zkrVql3bHI53SOTM3rEDW7fr85rdv4PkxP/b8EWxD58ZKDV1VOXesxKvvbLNT72FoMj/+8aN8/XsruEFEylT5Yx+f5bWrFYIgYmY8SylnDtTrTs4WII6pNh00VWYkb7G00aLecklbGmNFm3rLpecG5DMGz18Y5+vfWyWO4cRUgYmSzbUV8Xw+8+QMr13dYqvWQ1VlfuSpaVpdj516j3Le4kKhTK3p4CT2+ORIasgukySJjUoHVZEp5cyh/NinHx3j+kqdbtKOj50Zztvo+31AxHgeBEHlIe4Nu3keIaoiM1a8tcrLhx0Du9BUOTH90bML/9xPP8Z/+NbC0HcfxQKOlCHT2VOk9Tf+7EdPGfb5c2P80cVd5cYvfeHsQ2zNw8X3bRFHoSAmiWq1OlDjWFtbY2Ji4k6n3RWSJGHbD38S3an3WNoSQZZqK+SRo8Xbbhr6UqWdnkuz7XNyNs/FGzW++MljvDVfoeeGXF8WjgNVVdE0weyyvN0jkxKOhtFiio1KC13V2Wl0WdhoM1pIMT2WZ3IkRbXp8vKlNd66WUORZJpdh5mxLLalcnQix+eeOYJlqkRRnDhrHZrTLp1uwM21GqaukfJDTswUqTZd1qsuzW6dtgsTpTSPHBtlabNOFINtqdiWRj5rUWl1yVsWN9YadN2IfMakkEsxPZJmcaOdyKoFzE0a6IaBpOgoqkYha6PIMpGkEksy+YxNrdWg1Q2JkGl3faZGMqhqRCZt8xMvHEPTFGbGs0zucXq03S7plIVpRui6iq6bB9j1nj1vc3puhDCKydg6W7Uuq1ttKq2QarvLI0dLAxaaM0dtZid8kbAjCcYRTZXx/AjLUIeCUhdO2XQdH0WRiROmn34xTyGXwfNDTEO9pcF1zLaZHMkTxTG2qXFzrcG3Lwk5tWsrbX7kmSMfKWPhmG0zPpKn0/MoZMw7FmM8ctxmdqKI4wVkUzp+EN/2Od0rHjs5ysxoho7jM1lOodyu5PkWkGWJE9N5ek6AZai8s1hBlmQMXSafMTg+lUOWJbZqXa6vNDhzpMhIzqLn+sgyvL1QJeqJTdTKloSlK2zVewRhhCwJB4plqIwW7MRpLpheIhnyKRNFUjA0hSiMMXUF1wuotmKmRlJUmwpyDLMTWUxDQZZiGm2X3395iYlSilLOQk6SmTVDZrxo8+jREoubbdK2y9xEDgBNFbxKWsrgiVOjdFwfQ1VY2GwRhTEbO11urNQxdYWUKeN5EiN5i7XtDmPFNt99e4OJcpp2z0VTZLYSyW7HC2h1PNaTatJLNys8dnwE29J4/twE86sNJgIbVZGRZXjs1CjdRMnne5e3yKR06i2XiZLNn/vCI4RhRDlvD/rP0kaTjeTaqipx+kgB21QHjmpTV/ljnzhGo+WQskRirOMFXLpZGTACH5nIvu9jKZvSeexk+ZbzxCE+OMyvNtmqOQRhzOpWh6+/skw+YzK/VqeUszB1hQsnRjg5m8c0VBptl5XtDtu1Lq9cFn2tkDFQFIkfenKGx0+N0O56rG63+J2XFmh1A4Ig5NLNCkEUs77TYXYsgyxLHJ3MMbInyX9+vYEkSaiyjKkrfOzMGPm0fiBp6LNPzbJT76LrKpau0Ox4LK436TkB7UTmvpDWeeXyFqbhoyoyM2MZPnFhkuceneT6cpXvXd5mvdrG8QIWVhwsTcH1Q7aq3YFkdxzHvLNQpesENDsuzY5HMSsKJfOqTGxqTJZlTEPm6mIdzxMJIqdm88yMZfn6q8uDMfWJ8xPMTmSZHBFO4IytsZ7rEAHFrAj6PntuglOzBSQJ0rZOo+XyD3/tTVodwcJzc7XFl774KD0vJG3r5DIGRyaynJzOM1ZIEcYxv/q1q1yaF5LklqHwF37mPH/5Z5/g22+u0u75fOLxaY5P5rBMlSCIaHRcFjdatLo+y5stSjkT29Sot92hZPZbYW27zcpWmyCIWNlqMz2WRlVknnlkjGLWpJg1B6x2AJqqcO5EGccNqDR7dByfOIJW1wXgpz59gpWtFqoiMV4SNsuJmTxdx0eWpbsm2+5Frenwe99ZHDz/p8+Oc3ruo7cR/zCg3nL4nZcWaLY96m2XE9N5TF3BNCSyaRNZdkGSCQOfuxFGyZIo3lAVGVWVCfwATVawDZmeI+SKZ8eyZNI6n358BsOQQYLrS3VsRePEtEI5b3NkPMM7izWqTYeNSody3qKct267ryjnLP7CT55jq95jNG9hWbuJ0n1bqNX1mB5ND9lCVxdrAxasasvhzJFhZ+pGpctmtUva1khZKs+fn+DU7PAxhzjEDxIcL+DSfIVKo8dWrUe753N9qUbPDXg3hNNykkSUz5q88MQ0haxONm3yte8usbjZZKPWJUYE+ObGs3z+40fR77CfGi+lyGeMpID47oFL29R47OQIrnf7/el7QSFr8tjJEfwgwjbVA2QeP+iI45h3Fmt0eoJhrN66u21yiEMc4r3jyESWv/Pnn+dv/U8v8sa1Hf6v/+y7/I2fe2ZIefUQP7gIE6KSRtul1nDYqfcGRZqaDPtJHlUF5ISJus990mg5SMD15SanZvNMj+bwvIhWz0+KREQBqG2qmIbK5GiaF85P0XEDZsfTnD85iq7K7NS7STH3LjnElcUq7URZL5PSOTWTwdAFA++l+cqAxbPRdm9b+Jm2dR47OXLAP20ZKhdOlnG9kI9fmMRJWKvn15o0O6JIdG4iy+gtfGnFrEk2ZXBjpUEQRrx4cZ3zx8ucnTvcOxziEB92RFHM5ZtVeq5IPK41Hcp5Mc67ToAfRGzXuixttohjmB3PcGWhhqGLdXOz0qVUMFmvdnG8kCiKuLnaQNcUri3VGSvZTI+mqbddHC+k0hTFIhPlVFIsBz/yzBy1Vo/pkTSlvIVtKHzz9TW2qj0UReLbF9c4MZOn4/jU2w61loMkScyv1JkeTWEZGlEUU2sJAi5VltANlSAAiMmlNSQZcqbJsZksGzWHTs/njWtbhJFEFEVUmy5RHOMEIUsbLU7M5nj85AhdJ6Cc14mjiNGCJdYF4PGTI8RRLPz9sUSt6fJjzx2h3nGJw5iJEeFDfP3qNsubLbbrPVw/IJcxuLxQ4dyx8iBWMFFO85OfOjEUQ+s6AddX6oJAzAm4sVKnmJAAre20B0li6zsdzh0v8cc/c5JPPTYxIPAIggjHCzB1hcsLNcIwZn61wVjRHsz1pq6gKDJjhdQgHhlFMT1XJNTfb1HA+4k7+b0+7JBliTNzBbpOgKbKt7U5p0czfOmnz1Gp9xgtpbH0Oz//yXKaYsYcvLv7Qbvnc/lmhTiGzz87h22qnD1SIJ0WxZoblc6AIEIksKUSAsgOzbbH3EQOXVWYHssO/IwTpRR+GGGbGtVmj1zKIGVp6JrMWqVLt+dzpVmj4wSMFVIU0oK4qtX1CKMOhq4iSzEnZvPkUwbjJZuUpfFHr69yfaWeKAJEPHZ8lELOYHIkTTFrcWauQBDE/O53biLJCoWMgW2IYrR6x2X5YlsQSuVMUnaRU7M5rq828AORTC9LEYW0Tjk3wlqlQ7vrEQYxGBLHprKMFGwkSaKYNTENhbnJLCtbHWxTZWGtSRTFTI9maHc8tmtdPD9CkiQsQyGOYzpOgCTLSBKsbLWRJYlry3VeeHxyEKd9r3C8gN99aWGgUFNtuTyzhzTsEO8fem7A2zer2IbG8ek8k+UUp48UqbccHDfg5nqTdxZrvPr2JoamYGoqP/rcLJOlNK+8s8nyRlMU5QUxEkJRRk0KtONI+AyzKZ1Ko0kxZwn7XVcwdZVq06HSdOg5vlCJkUSRh23p5GwF2xLFF6ahMTueIWPpnJrLU0jGebPj0GgL9Y9LN3f4yneWUD0JTVEoF2yePzfO2aNFDE1lbafDOzerLG+10DSFM0cKfPbpGUpZi1xKH5B3pqxdP+PHzo7x6cdn2ap3mBvPYT4gVe9ay+HaUh0QJHuaImMaKqvb0h1zsm717ixDJY5ibq43aXY8JElip97j0WOlB+bDVJNCMbG2KgP1nvcb86sNKg2Rr7ZdE/d0mKPwcBDHMYWsybHJLGs7HarNHm9e28HQFfJpg/FSivFSirSli+LAliP26Ym61bWVJrIiIUcSS2s10qaO54VIsoQiq9QaDrIklNfenq+gKhJpU0OSJG6uN9BVmVCJ8f2Apx+d4KmzIidzopzmxz9+lMsLNQpZg5mx4TXp+HSeP/+TF6i1hF3y2y/OD8bexRsVPn5hEjtpZy5lECRFqKqisF7tcGwiR8cJEkK7Yfy//u1rLG8JO+PNa1s8++g4vSTReXI7xVNnxthpdElbOo8cK/GxR8bY2OkwM56j2uhxcibC90MKOYOvvrJErSFi8IvrDSbK6YESVz5tIAG2Kdq5ut2m1hTHrm63+cyTs5w7NkLP9Qdxz34Mv5i1KGRN1nZaZFOiSGx+vYIfRHg7IW/frA7Uh/r2eN8uM3SVt27sDMg6Wl2Po5O7zzdl6Tx7fpxWx6OQtVCV4We0N25bazoHimAO8f5hb56HoSsfyQI4xwv47W8vDPpfreny9KFd+FDgeMNO5Pltn9GPDhcBsKto2Eet7d/myO9/fPRmg/vAj/3Yj/Erv/IrALz55pvs7OzwsY997CG36sGg3nIH/x1FMc3O7bO9ri83ACG/FcYxza5HFMMb13fouaGoHncDXD+k4/giIBSLyvpay0GSFfwwQlGEEzKKhVoHQKPrASJJfLPWAyTBloNMu+cjywpdNyCTMsimxCbONnUkSUJXVDw/RFU04VyQFeF8JMZNnABrOx1qLUckR7tRUvkvoes6uqZgaQaOHxGEMZ4focgSlZpDs+ujJkZnEMa4CSP2RqVLEAqjRlVlai2XWstBUxVaHZ8oue84hlrLRZIkgjBG1zUKWWuogKP/HlRFxtRV4pjbvod8xqSUs9A1ZeBcAcGK2ui4Q8fapoZpqJi6im1qaKpCytJuuemxTU1syA11SI1FS1jM7pQgYxrqYJO5utUefB/HIqH0owbbVBkp2PekppG2dcp5G11T7/qc7hXFnMXMHmfivaLWctGTYKkfRDTaog8psozrC3ldSZLw/AgtMeDStoauq/S8CEVW6LkhkizTaAuHYRBE9DyhkFFruwSRkP92vQglYWJpd3y8MAIZDE2l0fGStotggCxLxDFouoofRrS6Pn0ltzCMWdvuCOYsVUGRZSxVY6vWw/XjQWDZNlV8PyKKIIiEI9EyNWRZxvFDAl9IuUoSbFW7RHFMEErEkkSMRLvns7LdEkoXikQ+bbJR3ZX/arZdKs1dmbNa02G9IhRmDF2l1fOwDDGGxHMKUBWZIBTyjX3Jxo1ql5GCzXg5PdR/anvm2SAQwZL9QQVdlRlJlHIAWh1/kOwsrnFQhu39wJ3miUN8MHj1yjYAqiIRxbBd71Fp9vADUYwnSTJbjR75jImpq2RsnTDZeFcavYF0aRjGgo1SU4TDNIiIIomUqRHFYqx0nQDPDweSpvX2bj/rOAEblS66piDLEu1eQMZW0XV1yHboo5y3ydo6mqoM1Hg0VcH3Izo9n64b4odCFUOWJVa22timRsbWeOL0GLVWD11V8IOYnhcSRyK5ZHXPOuL64SDJo93zkzlLrK9BFON4IX4QEscSXhAN7muz2qXZ9obGVNsJxFwrS6QsjVbPJ20LhYFOzx84TQpZk3zGRFVk2j1vUMABwjlSaTo4bpisoyrNlseRCeHkTVkaS5utwfE9N2Sz0qPV9Th7tMzTj0zgeWHi7BbOW9cLIRbsRT03GEqUvJsSXH+u6XkBXhAOkliCME5Yvg6ua4osYWgKlbqDqatYpmDk6vej6dHMoICjD9vU7quAA4Qdtvf5r+607nD0Ie6E/rPsJe+o0nRY224ThpKwi3VNBELig/P4/m+iGDRVBUnCD2IkSUFWFBRFY6fhIMsS6ZQINE+Ppxkp2MQxA3YnQxfOxJ4XEITRoL+2e95d9xWWpXNkInfLQHYxZ3FkIjdkC4VhNCRj3mx7B2TDlzebyLKErioYmnpA2vkQh/hBQ7MjxmKn5+P5Ic2uP2DSvp2lJyEYXw98L4mx7/khjY4gODg+VWA0b7Ox06Xb9SERIg+jmPVq544FHH3096r3ClW5+/70vUDXhC18WMBxEH6wO88DQvHsEIc4xAeCM3NFfvFLz2PoCq9e2eIX/7/fHhqPh/jBheMGNNousiyzXe8RJfaxhFCdPmD/R2Kd3rvMRUj0vJBG26XRdml1XJCE30rsO0I0XcW2DKJIwnVDUimdqdE0KVsfrPflvD1UwBGE0aCAA6DV8bAMFVWR8YJoyFa/lY9hL27nn+7bBbapUcxZid/y3nxpjbabPAsJzwup1HsPRH39EIc4xPsL1w8HgXnHDam3d/0E9SRGF4QRrid89n4QsbYz7Ftc2mgShjG6quB6EdWWK/ymcUzX8QmCiHrLJYwiXC8SKkKyTKXuoKgymiozWkiRThnMjGWRZQXb0rETgrV2zx/4M3fqLjESMWL+rTZddE2h1fPpuhFeECErojhku97D88G2DGzTwI9jLFMnDGP8MKLtiLhrzxO+3DiOIZZo9zyuLTfIpU0mymm6Tkyr7SdKJEqiVqTQdnw0VZDmhKGIURQzJkiCqEVVZG6uiRhwEEZISXzHccOBn7CP/TG0SqMn4k6qKLRY2+kMju0nn/Wv2+756KrM1GiWmbEspq4O4mxIMnun4lrL2d0DJr6ovfFIOfHrfpgKOPq4k9/rww5JkpKChjs/13T/Hu9SwNHH3nd3P2i03UG/sEyNcsEeFHDAsB0hSRL1loOuKnhBP64f4nohtaZDxtYHJIldx0/i6Bo9L8QyNdqOUDN13BBJktisdFBVmZ4XYBoqPddHVRUgRlVVmh0Pw1CJIhGLXd5sISVxzSiWcAKhVmrqKkEYJXZQgOtFBEFEHMuDWH/PEXEB1w2QJJnFtQa6rlFtOsiSILiTZZWrK3UsUyOOQZJkHF+Mz35SN4ChKTheSDZlYGiKKLByA4IwRlFlNqodvKTaV5ZE/Ld/riJJrG63BElkgpWtBxfr36n1BgUc8NHMI/ioou8nBEiZu3HgfMZkpCBIS9d32hBLAzLUesslRrwnP4qJ9+wwoigmjqHXC4iRiCKoNF2CUIyHOI7pJXFBP4wIghA/iAmJiWJRVC7FYj8SRqAna1G765NJ6aiyQtrWSds6kyNZzh4tEcXQ6gYoiiL+rypJjo2I39umRr3l0nEC4hg8L0TXVQxNrFv6vrjWXj9jMW9yZq70wAo4YHh+anU9Oo4/eHZ3ip3sR60pckCMpCDGS+KX/Vjsg8Tu2vrBpf/t9TH2klyzQzwc9P2/fdtwuyoIX/vx5qtLVVRFEMjqisKVxRq6qpAydcIoZnmzhaYqaLrCTtOj0wuwLQPL0FneahPFEqauoaoyl25W0JRdX/zCWhM1ie0FEXzv8hYT5fRADUrTNC6cHD1QwNFHNr1rlyxv7Magmx2Pta025bxNIWNxeaFGEIFliJyGq8t11CTHSlWVAz7v1e3da9Wau6SwAIsbLWRZYrSQGsw/+bSYS1KmOlA+zaYNXDdifXvXRl7f6dB1/D2/00ZK7HJFlofW3v6cMTOWGSKu68fwW11PqOuNZsmmTK6vNpAQsVIJifmV2uCcvj3et8scNxgk0MNB/0y95WLpGqOFFJoiD+UkHojbdg7GbQ/x/qKf5/JRLOAAUbi3t//t3Ud+VPArv/3Wge9eurb0EFry3hDuG7q/+vtXH05D3gOurTSFElzy/2+8sfqwm/TQ8NGcEfbh7/ydv8OnPvUpNjY2+Lmf+zl+9Ed/FIC/+lf/Kq+99hqf+9zn+Ot//a/z9/7e30NVH7z4yMMIFNjW8H30lRxu1ZZyQThFVFWwMPQdMzOjaRRFgjhCV0UyoGWI4gZdlZOFQ0UCRrKWODdhzuoHevJpHUMX/13ImCJJJOlVlq4gSYIlHoSDMJU4egxdQVEk8mlNyAvLgASjeStJlN69ft85lLI0ZEkSDigJRvI2SGCboq2qIjaghZyo+gfQNRlZkkglDrdC1hhKck6Z2qBNtqUiSxJm0u580m4zeV72LTZ//ecOJG0Rx0TR7Tde+6+TuoPz6/3uW/3rF7LDMvXF7K1l6w/x4LH3/euaMsSUv9eJauq707WqyqRMjXTS/0xdGShiWIaGrMiYmiKctqbYsGuqRMoUfdzQVVEIoipoyXhIJ84OVZEwDVGY0U/2tQzhkDc08VmWJbJp4XTtf5YkKOUMNBWQBHO9IsuJcoUY032ViJSpYVsaiiohIYo4MikdWZbF3CCJ4ghNkShnhfxmFAvnUCGtD/qtZaqD+QXANjTStjb4ezErlAniOEZRJEbzQj7U0OXkmYhnmksPO+T75+99N3KSMH032KY6FG2/0/g+xPcX5sZ2ZeplSSJta9hJokMoKNkYL+6qZahJAUAcx6RtHU0V/RwJ8pndfjOSt4U0cRyjKjKZlFh3ZVlCS9a9lKnt6bcqmZQ4X0mUOEwjWefu4sTMpnUURSKKYzRNJm1p5NM6ssygkKCc372HOI4pZMR6oati/ugz5BWyu0kgmrrL/GJoKoYuo0i748rQhRMzZamCLVzdtSty6eExtXe9iqJo3xwqc6vc0HIhlbRrd83LJffaf275Pe0FKGWH39VEyRqs+VEkAjd754T+3xRZQlNkjP78eQ+M4P1zDU3YH/1A292CY6oqk7H3zoHqPSXe3g+K+55L/33Dw7F/P8ooZk2QGASobV2mXLBQFOjXPKiahKbd4h3u60IyIjG7r7glK7sb25SlDpw+/fES99nypN33ZhkiOCJJDMZtf9037zGIey9QFHlwfQBdkw4kce23O0s5i0Mc4gcNe+fUVDJejYQ5LZMSNvSdVhOJgwmfMrvzha6qWIZg1gtD4Vwt5AysxEaQJWFXjJdSD/K2DpHgYa6ZqiIPBXAP9yfvDYf2zyHuF48eK/GLX3oOy1B560aFv/4Pv0W1+cGQPRziwwtDV7CS/XnaVAaLeAy33NMCB2wBWQJNEcRKubSBZarJXjJGVSQsU8FI9haKIpFJ6QOf/Z3WAmWf/8sy1EHxiKbIA/873H3Peifcyva5l+tmEv8J7N7XYRHnIQ7xYPBe7Zw4jg/8vw9dlQeFA7qmDPkd+nFDVZFRld1Y394CM0WRGMnZA3+CrsrkUrvzga6KOEQ/JqGpMoYhfiOX1lEkacjnH8cxlqEm7RDfG6pMIWMSRRG5lAaxII2TJGmg+JexdQxNTmKtYg+VTYn4B7Eg8smmdHRVxDg0RcEyRMxHU3bjnlEYYGgyY8Vdf4hpyFi6MvD39mM//VinpopYp5HEkExdGTznUt4kjmNUWQIJMrZ4nndK5o/jmFyiCt1H/7dgOPbZjw3fDoamDF3nvawPh3gw6Pf3O8Wq32/0YxG7vsjhPmQZe/qnBPmk/4l4pxgvpqGSTe32y0LWwNI1VEVCliQRB5EECzZ7fJwZW/TBrL2bXwBiTAKMJDEOVfDaDWIZfV9rKW8Kn6skYg6qImMZCrqqoKsSsix+Q5JASWKi/fE9XhZ+lUwSu+yPjKnR1OD+kHZtrPyecSdJElaSBKqpwqeqJ7EVRZLIpc2hHIdCxhzy944Vh306fZ/r/n7wbub7/L75oh9X/TD0tXvFR3U/vz+uZ+8ZS4oio2vy4F1LyZp2ZCIjmOszBpqiEMfRwKYX4caYTD8eGIWUsiaaIhHHEZqiYBsKhiqKClVVRlEkZEmsQ7Is4hmmru2ucapoRxiG2KZKFEX4/m6Sc8rSKOfNJIYhISPGp1CO383D6a9tiiKhKPId1x64/Tvt98d3+8737pdMXR3E+0Q7732N25vPJWwd8RI0VR4Qd+7HR6mf7n1O/fyyQzwcqMlcoCpSksdjiBy8JB45ts/nP56sF1EsyCL6NmAcR6QtFV2TiZNxlEvrSBI4jvBlTZREflB/nBUH61iMIkucnMkfaF8/HnE3lHKJbRzHGJpCMW8QhCLHYmYshSyB74vig7EkTymKRTv6/bE/hvbuJSxDIZcSChYA5bxYP/v3cGCe3fNZ14eVS7NpA0NXd/PsMvvj6Hs+Swftob3/vdffAjCeKJLuruu7CqX77fF+vuX+NvfPvV1Oophjh+O2Ijfs/v0qH4W1/xDvD/r7yNuNg48CPvlo9sB3z52cfQgtebB44cJHTxGlvxfrT5On9xS9fdTwXu24B1/R8BDwi7/4i/ziL/7ige/L5TL/9J/+0/f1tzcqHZY3RaXm8an80Gb7/cREKYWERMfxKWZNMrbOzbUG2/UeuipzaraA64fMrzY4NpFjo9IRrNxxl0rdpdX1eWexzsJ6g2bHIwgiMqkYPwjZqXWJ45ispVFvCbYtSZE4NVsgbevYlsrqVoe3b1a4tiLzytub5LMGs2NpFjaaOGEkFCeCiCDwaLRdXnprjbNHimTTBrapUswavHFtm47jJwxeCilTJIrn0ia2qdLquqxutlnf6TI7luaJUyPIkrjnR46WOHukQKfns7TZwraEEobjBjz36DhHpwuYxhY9x6eQNbFNjULGoJSzsAyVrapgKZ8cSVNrOtxca5BLG4mMskqr4xLEwlCaHsuQsTQmygcTWibLKSRJVMyXsiZpW+dbr6+ysNHE1lU+/bHpA4lo/cSYds+nkDGGjL4+Gm2XGysNwihiaiTN5Ej6wDHvBbWWw/xqgyiKmRnL8OixElEcs1PvMTWS5sjEwQXrEO8PxpONzkalQ8fxUWShZrOw1iIm5vpKg1xa58ZqA9+POHO0wPGpPO2ex6X5KuMlm3zaIG0LhvX1nU6i4CKxvNlGkkTw9sKJEXRdEcx7tsZIzsIyNC7eEOoBR8azVJo9VEWhlDVZ225j6BKGpnH2aInHTpSpNlzm1+u4XkgpZ1HOQ6PlsLDepNX1WNmCm2stIREsyxRyJs+cHaPZ9ag2XWxTBC0ePV5CliTaXY+baw0kP+K/+PgcEhI31xqsV1q8dGmdtK3zzlKNUsbi9etbbFW7IMWkTJ0j41mmRtJMjabJWBrtnk86pfHm9R08P+LETI5PXJjgpbc2cdyQ8ydGODaVxTZVOo7PT376OMsbLS4vVPGCkC9/4wY//NQMtZbLeqWDqsgcm8yiazJ+EDFWtO/KYATCEXVyJk+14WAZ6mEi3A8Qnjk/yb//g6tUGi6qIhjitupdGh2HSrNHMWtyYiJLu+vx1VeWaXW8pMhQRdck/DBiaaOFbSh85btLhFFEHIOqKmRsg47jMztm8vHHJzBUkaS9Ve+hqYIhanW7zcxYhvFSip//4jl+68WbBGHEZDnFRqWLoQnn5821JsenckPFEI4bcGWphpso1CxvttFVmdGiRRDBC+cn6XoB+YzJDz0xTRTFXF+pU2+5lPImi5tN4hiePzfBxEg6YYkKeOXyJkcns5RyFmfmiqzvdNBU+Mp3t3jj6ja5lI5hKFi6yqkjBUxNYaKcZrPSodnxePnyBi9eXGOsYDM7kSWXNrhwvEwQRHz91WU2Kl1SlsrpI0UUReLqQo23blTwvAA1cRw/fXaMEzMFzh8t8PvfW0FRZH7qU0exTZ2zcyVefWcT01B57ER56H3+r37sNL/+rZu02i5Hp3Isb3aotxyurdQhhqfOjg2Y5EAknYcJo8bkSIogKXufuof1e3YsgyJLeH7I3EQW1w8xdOWA+tet8MNPz/D6tW2I4fyJ8i1VO94LJsppPn5hksWNJoWMwYUTZcIo5tpyjWbbI2VpnJotfKDsPh9VjJdSfOLCJK9f2+K7l4SEeT5jMD2SZnW7LVjcIolm96Azc+9+T1UgY8p0vQhZlhIpYRniGF2XOX+8TKMt2OROz+Z54+o2bhBSzploisyNjXrC7i/Y407O5ClkeowVLdKWThhFXFuuI0nSgbni3eLMXJGVzSavvrNN1w2YX2vx2Y9Nk0+Kgs6fGAFgp+EwM5pmZk9R3CEO8f2OvWtwMWtyfCpHytI4Npmj1nLIpHTCMBJ77fUWwW0c4xH0c48AMFQRyNVUhZG8Qdo2ubJY59UrW5iayqmZAp9/bpZ8WufthRqqLHFmrsjnnz/6gdz3DwriOObGaoNqw8HQFU7PFjDvEoB+0JBlibNzRdYrHSRJYmrkcH/ybtB1fK4u1fCCiJG8NSRPf4hD3A3nj5f5b//yJ/jbv/wSN9ea/ML/8E3+9peeO7R5foChKjJjBZtf+9o1VnY6A+VbgFsRskYx6BKYpoQfyihyjKYqpG2NnuuhSPC/+OFT/Po3bnBjVSRdfO6ZWTpOyPxaHVmS2al3+fZFl9NzBc4dL922bZIkcXquwPpOhziK6boBL7+9CQgG3yAQyr8T5fS7WlP8IOLqUo1Ozyeb1jk5Uxj40ioNB9tQb+mD7+Nksv/cqHYp502OT+Xvuw2HOMQhhuEHIVcWa3SdgFwyLu9H7bkfy1rfabO63abWctEUmWPTOZ4+O87UaBpFkTlzpMDiRouVzRa5tEHX9Tk2mWNqNEMUxaxtt8mmdOIYbEvjiVMWW7We8M2XUtgJQdTKVptC1iBrC2bghfU6lbrDS5c2mJvI4Qcxjx4tYib+kvFSirdu7LC+0xUJplHEylaLkYKV+LMkljabpC2NK0s1am2Xat1BVRR0VWZyJEUhY+J6IUfHM+w0eli6QsfxmRrJcOFEmWvLdS7drGCbGj/5wlFevbqNaamYmkw+k+LSjQqeH2HoMrWWT6MT0uxuk83onJ4t0eq6tLZdlrc6eH7AkYkM544XcdwATZWpdR08P6KQM1AUmZSpsrLd5vdfXgJiZElmvdJBUyXOHCkxN5FlciR9S2bXZsfj+nKdIIk9/tCT01xdqmGZGo+fGh0cNzuWQVUkXC+knLfumEirqTJnjhTZSNQP7sUfeoj3B3EcM7/aYKvW452FKiAS+T/z9AxZ+4NVF8mmDKI4Zn27g+MLNeBq02FuIsuNlQYdxyeKYsoFi9G8TcbWWN1uk88YhFGEoamMl2xOzOZ58+o2SHDh5AieF/D2zSqzE1nGSzZxJAq90pbGVrXDeqVLox2zuN4kkzJY2myhKRK6IlPOm0yPZTh/vMzXvrfMWzd2kGWJmdEM1ZZL2lZ5/MQIU6NpLt6oML/WwNJVfuelBbq9AMcNkGQJVZYolky6XkC3J6GrcGI6Sy5t8ejRIq9c3sQ2NKyEWC+fMXj27AT1tstEaRTXFyRRSDC/1qTTC8hnDK6v1PG8EFVVcLyA772zRRBEzE1kyKR0njo7hm2obFa7aKrMZDnFxRsVlnZapC2N589NUMpZrG63Kect5iYy/MY3b9Boe4wWLZ4/N8n8aiPxFVscm7r3fW3a1vnMx2a4slil2RFKQb/1R/OkTJX5tSYSEoWcyQ8/NUP6A+5rd0PX8bm2VMcNwo/kfj5j65ycybO43mSr3gNiZFlmtGBxdalOpxdwbDJHq+uyvtMljuC1K9ui8EaCruuhqQq2KuKNXSeAWCjEW4ZKsxMkfUqhteNjGQqT5RRdN0CVJY6MZ1GlmErTw/FCYmKhnBWEnBrNo2sy86stLi+4fN2LUJV38PyYnivsij/1udM88+hkQmoncXWxiuMFnJkrkbF31YNG8jaL682kINKg3fUGOVijBfvAc1nbabO61UaWJU5M5wf5Ni+9tc7lmxVaXY+zR0ucmincd97LaNEmimPaPZ+jk1mCMKbjiLyeveSSd8OJ6Tyr223CMOb0kTy1llBVmSinbmlr7c07OzaVGyJV+zDi+HReqM1HMeMleyhmeogPFrIsUcpaLG+2MA2VmdE0Z44UaPd8simdx0+Ocm2lxkaly1jRZqRg8a9/7wqtjscjR4v8+CeO8q9++x3CKOJHn5llo9LmO5e2UOSIn3phml/5yk0cL0SWuvz8T5zhxnqbzYpY0//Mjz7F//Brr9HtBbzw+OSQ4gTAb35rnrdvVjA0hS+8cIzj0/nb3scPPz3Lf/zD6zhOyCcfn2Rlu80fvrqCLEt88ZPHWdvp0Gi5yDI8d2GUm+sNNpN7OrknHjqSt/iv/sRj/JuvXMUPIr74yWNsVrq8eHEdTZV57twY7yzUmF9rkkvrnJ4dbtPcZE7kO/oho0WbU0cKvJnE4i+cGmF1s8XV5TqWrvDc+Un8IKTWcklbGmNFm/VKZ5A/GEYxr76zNcj7k2VpoAB2fCrHqdkCO/Uehq4wWrBpdX3WdtpMjqR59twkW7XuLe1xVRm2vyfLKa4t16g1XUxD4dRsAdjNSVQUmdeubOGHEeNFmzNzxYGq1v3mIq5stnjxzXX8MOSRoyWeOD1695MO8X2FbGKbvHFth5Sp8lgS5/8oYXZ2FnjtYTfjPUMD9up+/9Rnzj6sprxr/NKff5pf+H+/RLPtcWQ8w1/6mccedpPuG3vz5yxT5fRs4Z7yS/fj+6KI42HB80OWEkmvMIy5udb4wBYoSZKGAhqNtst2rZe0K2Jps0XXCQjDmFrb5ch4Tsj0+SES0Ox6XEsckrahEMYxjhdRbbpIsoQmybTdEFURyaGKLJyd2ZTGxk6HI+NZvv3WGrIkkU0ZNDoeI3mTfNrEMwLqbQ9dUfDCiFrTJZPWubHW4MnTY/iB6LyqIhMEEUEYUcikkCQJP4iYnsyQTxu8fHkDSRbVe0ubLcZL9pBR1+4JaeHxYopG2yNjaRybynFpvsrpuRLPPHLrCrO+7GofK1utoUKLct5ip97bc7x220RKSZKG/ra82WJhvQlA1w343jubfO7ZuQPn3S2xe2G9SZBE8Fa22hRz5oAd+UHg5pqQngZY2hT3f/54+S5nHeL9QH8sr1c6gwroq0tVoliMu6WNFq2uy1gxhabKbFV7PHl6jIX1JmNFOykukDl3vMyrV7aYHReOiDev7ww5y/MZg7mJXcdUo+0Ogq6WoVFrOYzkbfwgotFxsSwdy1AZyVuUc0KSdaRgE0RCjhGEg+f88RGaXY84lqg0HMIoRkKoeeiqzNsLVR4/NZJICwt5wJSpEQNRBEfGRZvWdzp84YWjbNW6gGCyarZdojBmdatNo+WK6vhYousGrFc6TI9liCMYL6cZLdr84feWabS9ZJ7q8ub1HU4kc4aXSLbvnTc9PxxIGrY6Ht+5tDGYG4IgYnmr/a7GRSFjfugdK4d48PjyN64jSTLFrEGtKYolFYSEdyFjEIYxv/qH85ydK9LqeARhxGa1y/GpPK12gBwL5of51SaaplBtOkQRzIylaXRcLpwoU8pZ6IpKIWNSa7pMltPcWK0Thl3GSymWNlqUciaT5TRf+uJ5ljdbrO90CMOIG6sNYimmlLWYX2vwsT2J2UubrUSavDdw4HR6PpW6w1Nn8wCcPVocjI/tWm8gyzm/2mS0YAumOuDps+NcXqgM5J3nVxsUsyaWoXJsKse//+omcSzYQrfqDmMln5mRDFEYc/yo+K0zR4r88q9fHEiDb1S7fOrJ6YFz/fJChY1E9rTTC6g2HVKmRqPjEUYRV5frFHImU+U0L1/eJJ/WubnRHiR3vHx5i8dPj+H5IeeSMb5W6VLK7zqC02mTP/NjZ6k0etxYaQDw9s0qsixRzJpcW65z9lhpKPg1WrBv6Uy+G2RZetcJXGlb54XHpt7VufeKY1O5oYDORqVDsy2YTjo9n/Wd9mDtOcSdcXQyx7cvrpNLGdRaLtv1HpOlFPmsiaoqXF2u3bVCP5vWcdwI21QIwgg/jMikDFRFYqxos1XrMjWSYWYsw9s3qwMGtptrTSRJSlgtZSoNF11TKWQNTswIZ54fRLx2dQtiBkVfD6KIw9AUZFnG9UMUWaLb83n1yhaffWqX0eL8R9DBc4hDPAgsb7UGssPVhkMpa1LImjheQCFtUm+6+H6IaWqD/eHdoMhg6CqlvM1kYvsqssRWvUer4+PrMQsbDV6/scPPfuYUP/np9+32fuBRa7lUG4KlzPXE3uPELdjI3m+YhvqRS1L4sGFpszWwTbdrokD7VoQchzjE7XB8Os9/9199kr/1j7/NeqXDX/3vv8Ff+7NP8bEzYw+7aYd4CHDcgG+/uUat6eL798bQFUSQM02KOYtOzxMqFLaOoWtUmi7jTsBYMTWw/yMkfvyFY3z74hrvLNRwvFAkH/UCVrfbnEz2ALeCqYt1Y6vaZSdZxxY3Wpi6OmCCHC1YA1bP+8H6TnvgV2y2PbZrwp9xr740TZU5OVvg5Ozt23+IQxzi/rC23UmI1qDR9tiu94ZYX++GhfUmrh9wfbXBTr2L60fIQCat8/bNCiMFC10TaqCaIg/ZUGlbR5EF8/2tEixnx4fZro9P54dihKPFFIsbTTK2wU6jx+J6k08+PoWqKQNfx1atSxzDRDnFzdUGQRgzVrR589oOxZyJrgk/SccJ2Njp0O754jtkSjmLmdEsURwzkrfpOj5jpTSZdIBtiDkxRjDhPvvoBACvXd0mmzLIpgzCMOTly1vkMhatjkel6SAh2MzDEC5eq3JkPIdl6NTaNYIwQlMVZEmh2fbJJs+q2fFIWzqlrFDc2Kh2aXY8JElis9rD80Wxh65qIp6ryLdlCl9Ybwz2lqtbbc6fKPPpJ2cOHCfLEtOj9+6vTFnaHZPyDvHBoN5yqTQcNiodtmpdTF1FU2Vev7LFp56Y/kDbsl3rIksiVthxfKpNB1WRefP6jmDilyRkRaKYMQcEmbfzMb/w+B7/t63zqSeG56ha06HR9gijmGrLo9ML8ENYr3SIY4iRyGdNZsezPH5qlNeubqKrChXPwfVFgepUOc1jJ0coZk2uLNXIpQxWttrUmg7tnkcEKEm7Z8eztDoBlq6RsXRyaYOMrfHU2TExxqKYOJYYK6YwdZmUpbO81eH4dI4jE1nGijaXb1ZpdT2IYbPaZXW7haooKIqM7/u8fbOKoSv4YcTiRosXHptkZbPNk2dGB0US1aaDH0RMJDkHqzttTs0WBomb335zjUbix9+q9vijN9cGig07dbGvvR9y0vFSCstQubJYo5WQ9y1ttmi0BSGoqsq8fnV7+H19CLCy1cb1he9tu9ajkLm/+/4woJA1WVhvCtUZRD6K54e0uh6aKuOHMadmi0SxRKfnU2u6bFa7OG6AbWhoKRlZlhjJW8yviTyWKIqoNByyKR3fj2h3fVK2hqrKbCffj2UsJso2hqbyeFqj2nD4zqUNynkDy1C5sdLg9FwBRZaotURMP4xjOl0fy1Tp9AL+49dv8Pz5KWbGRMzirRu5Ibuj0/NJWRrLSb5OKWdxfbnO3GSWOBZ2RilrDhUIuH7IyqaI74dhzMJak8dOjbC+0+b6cp1G28P1Q64t1cmlDIo5cyg36F7wIEgaVUXmyJ55LZe+/X7HD/bnnTUpnP5w5xpoqnxIDPshQRBGrFc7A3+ALEt87MxwrtzZuRJn5wShw+9/d5FixqSYMen0Ai7Nrw581leWajQ73mBN/ndfW8Dzw4Fq6L/8nWv85KeOM5ITa/Gr17f5mR86NfiddtcbrFOL6w0uzVcAcLyQr72yfEd7cbve46mk3S3H48U319E1kSP3P//mJTo9f6Du96tfucYf+8RxilkTP4j4xmurg/Vwu9bj1GyB/92f+hgA9ZbDK5e3BrH4r72ygm1qgzXx1avbfOZju/awcou4fT8W3+75tLr+4LeWN1s8eqw0lG+4N3/wjWvbA9t7Yb1JFMfo6i7x5pNnRgf7o34RZjlRDNuu9+5oj++1vyuNHrWmyN1w3JDVrfbQs740X8FPWEM2Kl2KuXdf1Pjdy5t4QTi47rGp3KGf/AcM7a5HFDHIpVvdaZP7iNlWr725eeC7zc1NxsY+Wr56f9/nv/h3f5d//Dc+/1Da8m5R78b8hZ+6MPi80+i9q5yrh4mdxm7+XM8Rvvd3M8celsO+B+wPsXyY1O3iiAMNDKPhL+LkgBjR9iEJr+TfPpN0XwqrnzfSZwjvnxzHECbnD6QzB9ePIRYJ2yBk2fo/1f+dMPljX8IsHrRu97j9TGS7zd3zO+y2416x//BwP7vpfVxu/7nvtk8cSOB7wH1r6Prx+/ADh7hv7H0nUX9sib8M9aP9UuTiO3bH4+Aaw33xQLeO+8fFQ59jYuJo31je9/t7Ph3oPvu77t576bczjmPifUloYRQP5pfB6N9z3tDR8Z7/9+8hjvc+MvY/t1u17UBb98+RH6ZJ/RAfesTR/g518JggDHf72eCfSKyLe7+LRX/cuxbuHbPRvjk8vs0Y7PfhfcvlbdemvU2O4/1j/+B1+5ccvn40tKL0bYzbtal/dLSvUfubGO6ZMw6QkMcc+M3dY+MDryKObjUf3H28729jdI/JtN9vuNu7OsSdMbTW7FkXk4jiPVxgzzpJf/2PB6cP1vM4HrL9430LdnzLHxtuw/53/V6w30Y+VNk9xCEEDtrO+2zz+OAxd70mYg3ftR1ubQfvN10O8eCx3754kPPqIT5YxIfr1iEeAMZLKf67//qTPHqsRNcJ+D//8kt8+Rs3Dn0PP4DY59a655Pi3f8c7AFArC/7iz2j6Nbr/f49+p2wd93af8q7tSMOXuew/x/iEA8bB/w89x1fiwe+CfEFg3/3uzr2+yLe+xoYJfPjsH9xr+027EaNh32T8R4/TXzQU7J3ro7jeOi/+9cO9/kZ97sLhx7LLe5XzNfRHl+x+N9eD+teb6rwG/cbFw+tB3HS4gMxzlu0Z/fz4Tz8/YSBz30wCMQ3+/MDPpC23CYWsT8O9yBsgYO+lP5cMDwv9Z/Dbixy+Ph+2/o5ETEiZrK3iQdjqv3vGbpGzPBxURKl2I277p8Pd/87CPb8fd8cNnzO7a8BB/MlDuYw3P+z3/9eB/e7xy79sOFgPOPD18Z7wR3t6MFazL4+M/w5Cvf98RaPIo7iob8NPibrT7zv9HCfsPhQ/DA++BO3/bxn/MZ7Y/y3usZt5pHdIb+vX34EnKCH6/Mh3jOGp4Q74kC8e88YOZgvs+9n7uLv3vspCIf/djd7ZMiGD4f9Dgfth+Fz75Tnczdb5H6WhYNr711OvsMkeKf3cKvPd8LdUhwP5h+++zkmfgD2xCE+2jjYvx5KMw5xCzyMfd97xYH+y/+9fwABAABJREFU89G7hQc2Bg6VON4DDE0RDPo7HSQJjkzcH4tyGMVsVjr4YcRYwcbcI38lGAwcJET/1BSZsVIK5TYyxtmUjmkoLG20MHWFs3MFem7Aq1e2gZhC1mC8ZLNV6+B5AZoqMVqykSQJS1dRFY+uG2BoMn4QIEmCGUdRZOptl0vzFW6sNihkTWpNId2bsTTCfoJYHAspUc9HVWRUBTRVIgwiwiim6/icO1ZEkmBuIksupfIPf+0i3a6HrgmmClmWmRnLoKmyYLHoenztlWXiOBbsX7Uu1xZr9LyAmbEM54+XSNuCTWYkbyJJEq2ux3PnjtzXezgykeXGSp0oitE1BUmCZsfF8UIsQ8HxTJY2moP3MF66tcRhreUQJ9fYqnWJowhZht/7ziKfvDCBaWpsVruC1UMShlQubdyS7eHIeJbrK3XiGMZLom9Umw6tjkc2pVPImmxU2rz89ia6pnBiOo+uKYyX7HtiQZubyDK/2iCOYWo0jaYqXF+usV3rkU3ppG0d29QYKVh3vdYh7g9v36zQ7AgZqEzKoNLoYWgKR8Yz3FxrEsfw3KPjvHWzSrfnM1FOcXK2wOpWW0j2FbLcXGsQE+N5IWEU0+55XF+pkbJ00pZGFMecmikwv9ZAV0W/KOUMFjeadHo+Ur8dPZ+Jos3yZouO4xFFFiMFG8cN2Kr30BSdjiOYp64t1VjabLKx02Zxo00mpfOxU2PksgZnjxZ58c11UpaKpsjEUYyRMD0dm0jzte8tU297jOYMljabHJ/Mcu5YiXLO4sqSYJP54qeOEYQRKUsjZ+ssrbdQFAlNlTkxU+TyzRprO22iKEZVFcZKFpoqUc6bPHK0yJUlIVnYlIV08kQ5TcrUWNxoMlKwSFs6F2/skLI0Hj1aRJZlTswUWFhvUm04WIbC04+MUWu5LG406ToBp+7ASrgfYRSzstVMWDIkZsczTBRTvL1QwfFCTs7kBxX4YRixUe0ShkIK3riFjNYb17ZYWGsyPZY+wJTwXlBp9Gh3/dvOPYd49/jiJ+b46itLNNoeqiz6pixJxJKQNpZVoWBQaTjIMXS8gEJGqGYUMwEr2x3B7DCeJmcLFpuIGFNTMHWF169uksuY/C8/f5pMyqRSd2h1PUYLFmuVLs1Fl6cfHUfXFPwgYqPSIQhjVFUCZKZG05i6WOMyts7iehNTV3D8EBmx7oVhTCln4LgBihLT7rp89eVFHjtZptay6bkBowWLUt5iJ+lLZ44UqDSEepVlKnz15WVMQx2oPT12cmRozfzk41NcXqjR6XmkbY1syqTS6JFN67z01jpzE1nGSyk++dgk//nFmwRhzNRIGk1T2Kz2JVELLG7sjt1zx0vomsp3Lq6xWulgaBJhGLG202Z2PMO331ynkNFZ3e4gSxKfeWqalCXWOKFiFtPp+bz01jpjRRtZlsRcRowXRIQJI9HUSBrHFQxBhZzJ5ZtVchljwODTX4P9IBwohWiqjOuFmLqK6wcoiR2x156L43hgH5RzFilLI4piNqod/CBitGAPSaSCYFVrtF3StjaYW/p2giJLrFU6SMD5E+UHquQFQnFkcb1JpeGQS+kDtpFD3B7trsfbC1Uk4Lnz4/zqV9sEQUSn57FVjcmmdHaaPVQF/ODO16q2PAwFelGEpatECIW9rK1RbzocncqxVe3gBSHHp7J87/IGQRRz7liJ8XIKTZHxg4iUpXJpfoetepdPPjZBLi2YdKdG06xutQc2+37Umg7NjkcmpQ9Yau4Fc+M55lcbbFV76LrC46furnR1faXG5k4XVRPjZqwg5qFmxxvq+4c4xEcZ06Np2j2fIIjIpfUBA/V4yeZ3X1rgrRs7IAlmWlNXaTt3mSQABbANBS2xpadHM7yzUEWRxGexV1eQiPnupXVGCzblvEUtYQnJZ4yEadLHNFRyKZ1SzhKMXjudQfs8P2In2cuMFW2qTWfIzvT8kM2qWA8nyilU5QePQ6SQMcmmezTbHqoqMz16f9Lkh/jwYGYszZWlGmEo/GvZ1P0xOB7iEH3k0gb/l7/4cf4//+ENvvLdJX75y2+xtNHiL/3MBTT1B2+e/EFDEAT8hz+8zncvbtDuevR6HsE9BNckQJZiWu0erhdQzhu4QUyj7aCrMp2uz+pWk81ql1bXZ7Jsc+74NJfmd+h0fVKWSs9VsAyNiaKNoki88vYGKVvj6EQO1w8Hcu99prN6y2F+pcHiRhPLVMnYOvm0mPuEn+3WDO93w0QpRb3l4noh9p7fO8QhDvFgEEXCx+QFISN567ZqDHsxUU7RTBirU5ZGKWuyvtO552scGc9yY7VBOS98fJIUU8iaZGyNbFpnu9ZlopRCUWSmRtK0uj6+L9SB5lcbrG23MQ0VU1fJ2EJpt7/HkCThP+uz5/bcgOmRFGMl8X/b1HnkWIlLN3aAGN+PeOnSOp98bJLtWpeeGyBJErap0nUCpkYzdHouF29sY6gKpibW3pWtFmEcYesq6VKKrWoHVZbQVZkgDMlYOqvbbdpdH1mGE9M5FjcarO+0yaYM4jjCcX3qbY/ZsTRdx8fxQkxd4cKJIpdu1lAkODqZYbPao+uKOOIjRwtkUxqtrk82reP6Aaoi4wUh8ysNDK1NuWChSBJBFOG4ATPjGY5MZNiqdWn1PFKWTikn0Wj7qLJMEMasb7Xx/IhsSme8NLwXmx5N88rlTfwg4tRM4cD73ap16TkBtqnScwOh5p68vz66js92vYeuKgNfquMGbNa6d4yhvt/ox95mxjJDKvU/SMinDXJpHT9Ms1N30VQJQ1d4/OStFXDjOGar1sPxAkpZc8CcvR/9eAOIwuTb2a3trlCcMXWVcl7E1v0gpN5y8IKQGyt1TF1BliQmRtKMl1KUsiYblQ6uPzznBKH4zTiGsaKNnsTRGm2XdxaqxHHMSMEW9kvexg+EKkGr66Eq4HrCP1Fru5TyFl1HKJmtbrc5d6zAb3xzAc8L8IIQ15OpBhHXV2o02i62qbK63cHSVRzPR1EkWh2hmjFSsGh1XEpZk1bPpd0N6Dk+n3hsguWNJoYu2LXzKZ1tv0c+Y+D7EZYhvh9J2LWnR9O8/PYGjhcyN5Eln7X4rW8t4vohZ+cKnDlS5I1r20jETI1kaHR8npwpDMafpsqM5m1UVWJtuwMSyZzbG8T2zx8vs1Xp0nUDChmDj5+b4OZ6iyCMyGd2Y4T9mKXnh4Ncib3PfC9yaZ1C1iCOY9o9jYmSzWtXt2l1XXRV4cKJu/t8P2hMj2a42qvt3veHmC18u9blxmqDlKny6LESsrx3/k7x6jtbhGHMkYkMl+Z3ePP6Dookkc8aHBnPMVFKMb/WQJJgLGuytCEUpoxQImXpOH6A4/p4QYypwVjJptpyCcII25Bx/QDPi0mbBvWWYBQOwpDxooXrBYRRzNGJLEsbLTqOTzlrsl3r0OmJ/BXXC1Fk0FWZnhcSE/Ejz8zui4GZrHodVrZa1Jo9NqsdLpwcYbxksbrdASQeOVpifadDDFw4URqsY54fslHpJKoiJtt1h+XNFtm0wcpWC1WRMQ0F01CJ44BjU1mKOaGk2s+9snSV0XtQHOvH07N7/LX3izCK2ah0CMOI0aJ9x1idrilMjqRY2+7cNjZziEPcDqoiU8zqvPTWJpIMn3r8zupbj87l+cpLi7S6HudOlHj+wgT/+nevEIURn3l6lkqty8vvbCHLEj/zo0f5t79zQ6jtSfAzP3ScjuNTaThMltM8++g4F2/s4HohRyeyQ6o3x6fzGJrMa1e30VWFv/hfnqfRdqm3XFKWRjlv8e+++g5rWx2eemScs3PFXTt1tsCTp8t86411ZBl+6lNH+LVvLNDq+MiyxE988hhpS6fV9cjYOs9fmGBlsz2Y621D4ZXLG4RhzKPHSpTzJt9+cw1NU/ipHzrB9aU6K9tt0pbGhZNlri7VqNR7TI6kDyjMdJ2AS/M74tkdK5O2NJGHpSmcms3z0ptrXF6sMjOW4UeeGc5VnB3PcGO1QRTFTI2m8byQl95aR1EkPv3kNO2eP8gXGyta1FsuPTfASlT/+jZSKWdh6goblQ5RFDNeSom9X2J/jxRssimdZkcoNE2NpIfuaWYsw7VlkRNZzlu3tfn6WFxvsrbdZqRgcWKmwFa1Sy/JbXnyzBgvvrlGHMPJmTz5dzlHvlfszaW4173vIR4MMraOHwa8+s42KVPji586/rCbdN944sJBxY2PmgrHrfDLf/PHHnYT7huT5RT/z//fK1SaDidnCvytLz3/sJt03yjnLZY2hG8+bb37/KnDIo73iJmxDBPlFFKSWHE/mF+tDyStqg2HCyfKKIpM1/F5Z6FKEEaJNKJJKWfSdYKBjNl+uH6I50eUsiZyIlnYdYOBw8bUVXRV5uxciU7Xo9HxODqe5flHJyjlLf71775DFIHnhaQtndnxLO2uh+sHbOy0MU2VnVqPfFonjCTKBZPRok3KUNmsddmq9Wj1PBwv4PRsAU1RKOYMFhPZP8tQ8UN48swYiizxOy8toEhgGCp+EDA9mmJyJMPJmQLFnCjIWN3uMFqwWdpo8taNClcWa2xUOozkLVa32miqzGQ5zUQ5xWa1g+OFSJJ03ywPxaxJ7swYy5tNtqo9FtaabFS6jBaEszqKJXZqXfJZg1LWoucGB2TeGm2Xa/9/9v472rLszu/DPvvkm9PLsV7lruoIoAE0BhmTMMMJnBEpM8xQSzRtL60lyRS9lilryUu2bMn2MmkFkqZke4lZFGdIDWc4mEGawQzQDaDRQHd1qpxejjffk4P/2Oeed++rqu7qAHQ38L69qqvuveeeu885O/z2L3y/q238ICIIYxamC3z/9R32Ox5rO312mwM+9eQCO02bTt9jt+VwYrbMTtPm/In6PQkAtbI0fpIkQVMVml2XG2ttQMqqzk0V+O2vX8fzI7p9j1du7PPppxZo9zweewgHSaOSo1qysvNfvdPie5e38YOI/bbDo6cmmKjmiOL4XZGLPIbES9d2efWmlAy8erfJ4lQpM5BnJwpjz/z0YhXXD7EMDUVR2Droc3u9y37b4dZGl9mJAqoq2GraXL59gOtFlPI6j5+aoF7NYeoqF07UmZkoMFXL89qtAw46Lvtthyt3mgRhTLlocPn2gWSTFwrru31iEgqmQSkXkiAwdZXvvbZDZ+Cxsden2/Nwg4jpep4gjPmrv3yBnKkyWc0RBDGGofLYyQab+w7NnsM/+YPLdAcejh+xc9CnkNPZbTpc35Dyp+eX6qgqXL7dZGGqRCmv0+x71Eo6CLnhXJ6t8PiZKW6sNrm21iZvSTnXmYkCn/nQIvtth97Ap1HNM1HNM1m1iBPYbTkkSUK377G61c2cXa4X8vSFGQxN4Rc+sYLthliGgqIoGLrKTlM6Z5tdl829PnMP4fC/vdHhhSs7rO/0SIDNvT6qInB9SUFyZ6vLL39qhbxlcGO9nUkYN7suj52eHFs/Xr2xzx9++y4AV+62AN6VQo69lsPtzQ7AA+eeY7x9fPl7a9hOiKJIx1xMwi/91CnyOYVG2eT/9o9+wO3NHr4fEsYJT5yZJIxiGhWLM0t1klgWDAyDikYaCLm53uYffOl1wjCm3ff50rN3+Is//wiPrNQJwpivf+9uyuIPr9884PR8lat3m5kccc5UeexUA00VRHHCbtNmfbdPM465s9VjbqLAwA3w/IhGxaJnG6zM5njulU322i66pvCl5+6iqgq1Uo4gjFiYKnFhpUEQxmiqIIgSXru5x1e+uwpAu+9xYbnOmaUarZ7L/EjC4n7b4cRMET9I6Ngelq6w33a4vtamXra4vdnhi8+c4PxKg5PzVVo9j9WdLjtpUUQYxcxPFu8Zuy/f2KMz8MkZGtsHA+YsgyBI+M7LW8xMFGj3PZ44PcHCdJlKQTrpV+YqLE6X+P6VHW6udwijmGcvbfCh89P0bB9FCCoFg/W9PguTRSarOWYbBeIk5lsvb9FK59ShDHSr5/LoyQaX7zRxvUg6ovoei1Ml7mx1mWnkyVs6AyfIJM1BSq0Oiz72Wg6PnZ5gY7fPflsWxxy0XR47PZEFx7oDn2urcm7YacqiUFUV3FhrEycxz7+2Q97UsEyNvbbDL3xi5V3t6wMnQBGCetlCVQTdgZ9Jux7jXsRxzNe+t0rfloKWiiL4zFNz/NbXr5LEsHVgs7rdxzJVohhMXaGQ0+jaAX5wf5vWi8AUcuxZhsLA8UmSBEMTrG53yVsG7v6A66stojghZ2l8/+ouf3nlPKcXagjg//e7r9JObdK17R7/q199FFVVmZ8sZokSR/c2rZ7L9RF79PRi9aELOTRN4Wc/diKb37Q3SVK8sd7iO69s0+y6OF7IxZMN7hZNdFWgKgo7TXnccSHHMT7oyFs6T56ZJIqTsSSIb720wbdf2cIPIgZOgK4JXO/hpABi5D57ZbYMimCv7eCHEcW8zsmFCkEg980vXz/g9kaPUwsVmUDRKJAI+N7r29RKFht70nYfJr9sH9gMHDmX7bZsqRqWTlM7BwO8QLZvp2lzblkWXLqetIV7ts+Flca7dNc+OFAUwfllabOpinhPEpmO8e6gmDd46uzUPWP1GMd4O9A1hX//zz/J0kyJ/+H3XuMr373Lxl6fv/mbTx+TLfyY4x//wRW+9r01BrZP9BDua1WAZUAYQZQIwjDBD4OU5CUPQsiEaQSXbuyBgJm6XLdfuLwztgf5zS9eJGfJ/fKL13bp2wFCCHYObExTRRVybovjhGrJ5CvPr9If+Oy1HWolkyfOTHJitky9kntH86Chy+S+MIrRVCVL0D7GMY7x7mB1p8du89DH9Pjpifsm4Y7CMjQePyPHpa6p3N7spKQn0o/3+OmJNyQOq5UtziqCq3ebnJqvEqekbOW8QRgnbO7JBNLzy/Vs/7O22+PlG/t0eh77bYda2WJ5tsR+S/rZhBB4QcTyTBnXC/ndb95ic69Pu++Rt3Q+9cQc/dS/9qFzUyxMFvlnX7lCs+vS2u7xNW+Vxekyc5MFLEOjWjI5t1ynO/D46vN32Ws5Mga532enadN3ApIYLE1lYbJA0VToDAK6A59CTmNgh9zZ6pAAAkG7J5O8d1sOmioL5/u2R71scWuzh2mo1MtmWvig8OGzkyTAVL1AOa+j6oILy3Veu93k1kZX3seSya9/7jTffnmT77y+QxjEBGHEmeUqtaJFpVjAMFRmGwVcP0RTBWcXJXHeRNWinDd49WaTnuPz3Kvb6JrCxy7OSBKeE/XsebW6HpWCSUJC3w2y+RgkAdHqdo8kSbiz3WWmUSBnaNnzA5lAe/lOMyPw8YKIhakir99pEoZyT2h7IaePxFB/2BiNvd1cb/NzH19movqTVyioKIJzy3VOhjHPPDqbFhMpY4ngo9jY68sCAGC3afPoqYl7yIQArtxt4qTxhnbf47FT98ahHS/k8p1m5idodQ2EECTI4o6NvT6b+wPylkaSwCdzOlP1PNfX2nQHMl42Om9dX23Tsw/jaI+fniAIIr7y3bvYbshu06aa2ii7BzZ3tro4riwSU4WKqauU8gYn50pUyzm6fY++E3JttYWqCpI4JkESUXb7PkEskzSvrbZZmilJMqyCjqULNvf6KaEltHoeuq6y35FkkKoq44AvXtunUjSZKFvMNvKYhkajYqbkThGlnIkQgoEbUi4YtHsepbxBwUpw/YivP79Ds+vSGfjsthzOn6jxkXNTJEJgGSrVssVey2F9t5+Nv05fEnPlTI3N/T63Nzp0+34W268UTX71s6dw/ZC8JWOBlZJ1z7725kaHdhqHCcOEE7NlWj2Xx05N3GOrCSE4s1gjmJV+js39PpsHA8IwQVVgY2/wniVzPgjFnM6TZ+/1vb3f0LV9vva91ez5DtyQjz86m33e6npUShYkCf/mW7fp9D0292Uy72TVopDTKeQ1vvD0Ar4b86Vv38HzQxQlwQsSothn52CAHyYoAizLoGeHTFcLeEHAwA7RVUl4FkQeSZKg6yr2esj67oDlmQKnl+oEYcT0RI7VrR53d3rousJEJcep+SpPnp1kZa7Mn/xgE9vxUTWBoams7vSyGJ+iCGplk68/f5eeE3D5Tput/QFPX5jJSOGu3m1RL1skJLR6HgtT0gd5+U4TL427lwsGqioYuAGOF3JjrcWZxSpL02XmGgU5n1k6unaYezWcn8IofsPYv8zFOIynn1uuUXkbxT8319u0U9Kcg5FcsAdhYarETOPt5Z0d4ycbcRzz8s2mzJOL4NWbByxOP5iA+n/8ynX2Og5JDC9e3ee1m03CVF3hmy+uIwRZnsKzP9jlYxdn2Os65FWpgCELDmTR7t2t7uF6FkT4QZTtP1a3O7x6swlJgh+E/M4f3ZTJ3ulY/O2vX+PSDVkccW2tzS9+4gT1ah7S/B7T0PnwuSlUFcJE4cmzU7TbLoapUC3n+eLHl8fyqSYquWyu/8Nv38ni7Lc3u2wf9DENHaHA9y/vcGGlwUTFQtMULt9ucmdL2uQ3NzpoaRHEEF99/q4s5gTWdnssz5SzvMznXtnkG9/fAODynRZBFPHFZ05m362VLZ4qmlkux+9+6xZJIlVKfnBll9mJYqa4EYQxj55qZPb5+m4/I9XaaznoqoIXyDlwvyMJpoes+7Ybcv5EPcvduHK3yfcv72bX9LmPLPKhcw/n217f6fHNlzay7243bYx0P7jbtLl4ssGf++lzxHH8rhNJvhXc3e4e2bdOvq/X+R8nNDsO3311Bz+IsJ2Ab13a4Fc/c/q9btYxgH/8pVf4jV947L1uxlvC3/x732R1uw/AS9f2+Ae/9wp/9Vcef49b9dbguAEJZGtDZ+CPCTk8LI5nsHcBmqq8LUO6lwZSQC7Iw2TfgROSJPK9KEpwvCA93n/guRw3JI4T1DT40bODlBVGJjoFYcxO00YRAqEIhBA4XoSiKPQH0nGhKIIwSvDDRLItJIJOzydB4LghAumIiJOEgR0QRQm2F9Gzg8zQSBLpwEyA3iB9P4wRQrDbHGT3aXOvj6KoCMklRrPnoygKji+ZcXw/pDfw0VQFL5D3pjvwiRPSNsB+yvxtuwFxDIamoqvKG96nB0FVBI4r7//wOfSdEBD0Bh5RnIwloBzF0MHk+qFknxiEeEFCmGpISiY0eYzjyWO8lGq5/4D2qorInKdHf3Ntuyc3qUlCECW0+1527vCoXvMbXPPw/HttuXH2g4gE6Ay8tG3Bg75+jLeB4UYBwA/ijO0W5DMefSaKopC3jMy5GoYJmqbgpCzwjhfiuCHtjps5x/0wYr/jEIRRdo4gjLM5xfFC4iSm0/dTidOEVscljgWKEARRzEHbJYhiOTc4AXGcYHsh7a5HEifZGHW8kCCM2dqzcbwIXdPI5ww0VSWMIRFyzAzckDiVUg1DuZFw/RDfD2l2XQxDRVVVtlIWn3bfw/cjhKKhqSq2G9HsuBiaPK9QlJQ5WNAfyMTznu2n7B4yMapnB/TTBDMhBM2Oi+Mf6rnujTwHgLylZfe57wQo4jCI/LDzSbvvYTuBTN6PEwZuwHZzkH0ehjGtnp+e83Bc+UFMEIxrza7t9sZer+/0H6oNb4a+M34tD5p7jvH28OpN6WRQhVxjDzqyf4eRwAuTrA+GUUIUyWKtJIHNfVuOfU0hb0lDLm9paGmS8+aBdMrLPilY3zvsD7qm0Op5KEL2fdsL6Q68rIADwPEihJBjQVOV7DNpY0gGN9cLcf2QKG1bAnT6ftqfh8phctyMrgu6JseKoSlZEUKSyHO0ep5skxuOyfbttR1UVUVVBVGU0HOkveKn4yCKkmyuNAwVRRFj8nOjY3J07K7t9hFCIIS8x7YbYHsBXnqdcQxdO8DU1bExqKkKBx03uydhlNAb+DiuvC+OH8n7Estn4Pgh7b5k3ZJreUS7L7/vehGuH2X2guOFeH6EH0aEUZzN30fnldH2xHGC7QSZM0j2mRjXP3ymR8fukGEMwPMjHE8yiIEMcL3b6DtB1p+GKmjHeDBcPxwbN7stGy+McfyEKJU5D6KYBGmHIwRxLNfMN0IC+GFMGIGqqvhBTCIUenYg+3ySpHaGIE7H9saeLIKO40PbEaQdO3AO16IH7W1G+yU8/Bo5iuH89mbYa8p5YDg3tPse/YGPHx7aub1jO/UYPyZQFHGPc/laWoQVpYugH8RvSUHWdkMSIej0vdRXACDw/QjHl3vGIIjwArnvHjgBQRgRBhG2G2bFGtnalR4zRKfnEYyMx90j9nWr52brIci14ydZVlvXlOMCjh8D3G+sHuMYbxdCCH71M6f5T//qx8mZGq/dOuCv/7++wdW7zfe6acf4IWL7YEAQhA+9pmsq6LpBkgjiOEEIuQ8I4oQg9f8O3BAnCAnCJF2bE/pOwFa6Rwe5zxx4AaahZklOIPe0B12PIDhc07sDn07fx/ejLDlguAfsO8G7Mg8KIaRv77iA4xjHeNcxuk+P42TMR/hGGI7Lo+eIooc7R6vnkSSgqtJ3f9Bxx5SGRv0JiiKy2MbQtzb0nbh+lCUxDX0pAzeg0/eIUz+l50f0nXFfy8AN5J4p9d91+37q8zyM6emajHf00iI2gM7Apzvwpe9RgONHbO8PEKpKgsAPYgZuxEHHIUkgjuR97do+rifjlEGUYLs+AzcEIQhCWYjveBFhGOP5EREyruH6IYahkTN0KqUcze6hbyZJpJ9jt+VCAlESE8bSTyqLWmIUIZNV99P2SKVFhb22i2XqOClLuudLsjnHC+/jh/SzuHE4EpcevedBGBMEcaZIPHqvHS/MEoyHz9b1oyxGJY//0fsKR2NvSUrw9ZOM4R501H9+P4w+2yRhbN8/RBTFWQEHyHyE6D5x6IETjPnxh3G47sBHKArdvhx7fkossdu0IRmP1w1jawC9kXjWsE9301hgGMpchWFsfmOvL2OgfkSCoOeEIGSio67r7LVcVFWVvldkAqKiqgQBgMDxYpJEFiBFsTxvECbYTojjyZhBWsMhfyMRdG2PJAbPlzkQQ6WOVt9DVVUcL0LTNBw/kr7bdIwMx0fX9mWitip9tdv7UllbjuGQXs8nBkjzRUQik8BHx58kskvzMBCZjTf6XIex5sPX9+5re7YkCHI9GccIozj794Mw7GOtrotApK+VrJDw/YYPwn7+oO2MPd/9I762nh2gCjl/t3oeAydAiCGpnGC/5eC4EZqqMvAD7ED2Z0VRCCNZdBcncv1TFAXHlX1N0xSCMMEPI6IIEDJ2F8cQRwlhHOOHEUGU0O359OwAx40QCIIwJo4SHE/6Gy1DS2MSCfmcjqlrNDvOmB0Qxwm3N9sgRNbHDrquXHtSEpSBc5jjNOyLQRRnBRzyfvi0ui5KuqZ7fpTFPDRNJYji7Jn3j8xPbxbXOPp5/z5z48OgfyQXzDuSD3A/vN28s2P8ZMN2Q+yUgE8RgoPuG9tBG/tS9UYokgDyoOOiCDmPD9wQ24sQioJQFPY7DnECjVKOXD7H6nYPRVGy8bWx20dJY8Yyt/HQZnj9liwOGZ5ruPYPcXe7m/07SeDqajub5/puQHfgYZkauqaxuiPzJUolE9PQ2d4f3JNPNTrXH3QO78FBx6HnhKiqvD+bBzZJAkZa/LGxP56LM7qWDfMWh2h1XFwvzPIyb6bEd0MME5FHMcwBs/30OSmyHTsHdrb3ATn3jPpLju7t9keuqW/7Y3Z8Nz12mLuxd8QW3m3aD70WHs2l2hzJTUkSObcZmvKeFnDAYY4mcE/fO8YPF9tNW9qnMgkpyxP6IOGf/sGr97z3neur70FL3l388Qsb73UT3jJ2m46UoU7Nn5fTvLsPEnp2AKlP7J3kT72/dys/5hhlQDd0BcuQTtJiXmcYwxAKmexT6Qhj+jAZOooON9LDIEu5YFAuGERxTBjGaJrCVD1/6DSMYwo5Xcpl1QqUCjpxLDdGlqGSt3QEMdWCBiQULB3SilvJPmGga5IpuJI3iOMIQYwCqcKDZPlXhNxsxHFCpWjS7fuyun0iD0iHahJFRHGE7UipzShOcMOYgqURxTE5Q8UyVaolA00R5CwNRUCtaBJFMaahoagiTVoMs/vqOD77HQfbDri53sZ1XXabNr5//w1SuWjg+pGUg4xCDF0ljiPylo6iCPwgpO/6KCKh03e4u93mpWvbdPo+O/t9er0B+22XMAxpVCwsU0VT5TNtVHJoqgy4SaMLFCGIkzj9nYTN/T79vkun72T3yQ8iHF8+3yitfk6ShLmJPKYhHU6KAuW8kTJpaGPSyGEY0+l78rkHEVF6zjCSG2E/fa9ekewBhiHbVkuZ/4QqC2oehDjtg6PG5VFE0fimNEke/J3hNf+oMBxDP6qEoukReU7TUKiVzcwpMZTYHWLYb+10g98bSFYqLxgWLYTkcxrVsoEAwjAkjqR0nq7Cftum3ZVye6qSEIQhUSyd76W8jud5uF5IPqcTRQGeH5LEEeW8QRzHuK6Hosp+r6uCUkEnASxDJYkTdFUhiGLKRR1FwGDgcZAWkCSJZPEII8kKjkgQgKaJdI7R0FWFSsHIEtqnajm8ICRnquRMjSgM8LwARYuxTJUwilNVIZUgkMnVmqbgeREFS86ZcZKgCEG1bFHM6cRJQhjFTNTyGJqUIY+ThMlKjr5zmDQ+dAw7Xii/F8sCrCCMxqQEh2PofqiWTExNIYkTVEXK0s5PHjIcGJqaya2Ozv2mod7DhnZUovHEXDkbt+8EY6ob4t415RjvDE+encD1Ixw/xg9j5hpyvKu6oGCqmVy2osqihyhOECTUSjp9RxZMeEGUBS+jSBYfLM9U0NRDh91so0Df9oljOb/XShZxnBBFMTlLw9TVrBgEpBJWGMXZnFsuGHhhjO0GKIrczBu6Rs7UMA0VLd10N6o5NEWOWUVArWzIMZ/2myiKUulMOY5W0n4rk/sFU3XJjp+zNIJQBmD9VO4zjGRwVhEJtaJJtWyi6wphFKMoUEnXdzi0iYIwJkoSTF2lPwwqjKwlK7NloijCcUNURbKA5EwVXZXMfYpIKOU0HD8YGwvbB30KlsbA9ekOPFmYoEjVAC+I2G8PiKKQ7YMBnZ5HHEYkSUySxNhegKYKySwYxRi6gueHGLpC3/FRkCxYhqai69KhFcUxOUunmz7Dru1j6dJOCsIYVRWoqX01hKYpGQNaGMn1IoojyazuR3I/k0AUyz5j6bKveX5EvWSmge7D9X+0rw0xXKtH+99wTR7e62ExTilvkJBk8/2xos8bwzK0sfl2pl4ABLqqEIchSSzZE5NE2utRGpB4A0ImQD4zhRiICcP0HHFMMWcgUid/vWQBMlCjqYKFyRJeEKFqChPVXJoAIW10y5IBlWbHSdX47l3zLEPL7FE/DFHE0FEYZm16mEDEw9hfMxNSCc5M18hayaJcMDL2nyCMEG9wj47223eCH7V9+pOCD9p9HSou/rAQx4kce+m6enK+LFkh4wRIUFUeOuEzikEhpt2zUUSCEAlxHBNHEQoJhiILSTVVJvyY+rC4MiaIIgxNYBoKSZJkNkWlaI5JodfKFoYuC8ajOE7ntvRaEskUpWoygckPInKmds/a87AYnY/ebP95vzXu/YjwIefLYxzjGD/++Mgj0/yt//DTzE8W2e+4/M2/+yxf/s6d97pZx/ghIAxj8nmNJJZJgA+FBDw/RCgyazCOZcB8qE4n12odQxOy4CPdRJi6wkxd+qCiOEFVBbWShZ8m2Q5tbEUIpmpm9hqkz6BWNDANNXu/UjTSzz4YSjE/bLvtGMd4P2PUR6OqYsy/9PDnOBzrmqpk8ckHIY4TijkddcR/OdPI4foBjiuJJo76jsoFg5wpY4F6mkxVsDRylpYxVA+/U8jp1EuSzVBRZHyiYKmoqiS3iOIEM42vStKIhHxOQyhyPpQ+C1ngftBx0BU5T7heQNHSqabXKwBLV5isWYRBhKLIe2iognxOI4rCNK4n43GmqaII5B5L1zANhSCWaiY5U03jbwGWIdWOHC+AGLoDlyCS5HiFnI7t+rT7riThISZnKpnvRYiESt4giiLyloYXBvhBSN7UiRLp3w2ihIXJIgM3II5jwiBAU8B1fPqOVAwZ3XsP48auL68nZ6h0bR/fP4ytDotDNE3B8wMZ40GyPAfhIcFAFMvYjWWo6JqCm8VozXv2bjIO9nB7oLcaCwnDmEJOI87u23gsDt44LnkU8Y84bvhuwBu5Z5l/9yGutVyQPn/bk/1H1+91tqmqQiGnZ8n9hZyOqiqZT3D427quEMeSGMIPIgqWRhDJeGQYhhRyKlEUYRoacRRjqAI/CKiXZCxAFml4bO71CaNY+hH8MP2NgE5fJrgLZLFFEESoCvRdn3LBIAwjhFCI45iipRGGAX4U4TgOk1WLMIrSOH1Mo2wRhlJVPY4jTEOBJMbSFEgSNFVgewG+H2CZAl2VvlxVUTB0eUwxJ2Oj8rrldSYkTFbzxIkcG1EUU8zrqU8jIUkSSgVDKiebWnbdThBQLhokpEpspka5ZJAzNSxTQVel3TdRzY3lAJRyKmEYAYIokWrMw+c67Me+LxXDgzAa69e+H2YJn6W8kfqjZXKnnsYjtPs4qL0j43OqXsgSrgCmGz95CjjvFiaruTHyo6mReSxJEixDzeawRsUiZ2ppTBpIIqoFHT8M6fYdVJHImHUiSdsMXUnX2ySNp8dYpmRrd9wAQXLoQwxj4jhOc5USFOR+IghDgtinb/sYusxxUQSQyLVcFYKDzgBNAS8ICdO8hGLeQAjJUGy7IXGSsDxTZhi3iJNE5qUIGHi+ZMvXD3MmcpYm53AnoGfLPByQMe5S3siKCDVNUMwZBKFsVyEn7Zeu7WOm+U0g165RxaHR9Wr4b0UhXdOkj3HUJ3o/DNfRoziaC2a+xwnPx3h/4GHjaG8FeUujlJfrSxQnTNxHwb7b9bh0bZdu12NppkQcyeItgZx/olCO22JOS+3HkDAKma7lGa0rOjlfIQxDOn2XMApZmi1h2wE7B3a6d9Do9B06fYdHTtTRFEEYRoRByGQtRxiF7LdtwjBkZa5CnMgcBwE8cqKGH0Y4XkA5b1Atmvi+JJZdmSujqSKNRyTMTRTusTc7HZs7Wx2CIGCylqPTc9hr20zWcpTyOq7vEwQRC5MFgsDn7o5UsFqcLhGntiIkzDTy2bmMVNUvu7e1PDlT56Dt4rohZ5frQIwXSFvq1Hzlnhhou++yfdAnb2gU8zr7HZtO12FmokCSxBx0HWzHwzJUBnbA2k4P1w3H5hBFEUzWcvi+zJMqpfupIeTaL3NH/FAqcg1t/iSJmbnP+jx8Tkcx08iPre1LM4c5T0LI3I03wlFbdDRn8d3E6P0ZzaX4IGD4rN7te/KjwvxkHlNT6XQ9XM9nfrLw5l96n+EvffHRe977+Jml96Al7y5+8VMn3usmvGXMT+aJE7I/Hzo79V436S2jVJB+m72Wgx9Ebzt/6oMzi/0Y4uRchWJOJwhjpur5zDkpkygkk+5kNc/yTIlK0ZQy6SlsN+DK3Ra2G/DarQMMVXB1tYWaOlV/vX6Gasni1kYH2w0wdFmt+f2rUtLI0FTOLtZY3ekShBGL00W6fY9CTiNvqZJ90w1JUFiYKnJyvsLVuy26g4CEhMXJknQSOgFRHEumbwSGoeCHkk0jCGIsUzpvt5sDbMfn2mqLpdkSyzNltg5sWj2XrX2frz+/xjdf3OIv/Ow5Wc0bJ9hegILCynyFyVqOWsmi7/j0Bz5Rmqz9g6u7FFbbbDf7aEJQSu/T67cP+NJzt2n2XNa2++R0FS8IWVmsUiuY/Ns/c5aZxrhMYrPj8HvfvCmZSpOYsyfqRGFCKW/y2s0DurZMiK8UDLq2z0HHzVgxijmdgSMT0PM5nb/yi4/wG188z831DvsdhyiK+dalTUhgopYnTiTT925LOpq+/r01+o5kxakU5aZzcbpIrWRy6cYBpq5SKRr89EeWaPU9dpouhq5wkBbkhFHEazcP+OjF6ZE+EvLV796lO5BsDOdO1GXSvqWnDN3S8eR4EY2KxcJUkZylUS2Y5HM6L17d5dpqi+dVwScem7snsXwom+z5Eaah8siJ+j3J6O2ex431NnGcUC9bnJgrc/mOlN01dIXzJ+pZhe5ey+H2VgcS6eSRG/gfHhwv5MqdJkEYk7c0HjlRf0MJy3cDj52exDQ02n2PxakSO80Bd7e6NLvSce+4IY+cqHNnq8vf/e1LOF5IKa9TzGms79o0uw6akhCjUCkaTFfz1Ko5Bq7PTtOhVDB45eYeQRiztjug03OpFi2qZYOcoWZ9LIxiDroucTxAVyFOBKqQRTutvk8cJXhhjKEqXFcFM7UChqGgKwqNisley2PrwGanafN//O++Q71istdyURSBqSk0qiZxIriz2UUQE6Nwcq7MyfkKXTvA86TR3k8Z+IsFHU01+NMXN1JGq5hWP8BxQ7ZbNlt7DrMTRR4/PUm5YPDi1T08P+DaWotvvbTORC1HvZwjiuH0YoWipdOLpTO3mJMJ4KoQbLdsJio5dts2V7/RopDTefRknf2Oy+3NLpqqUCuZCAVubXSZruUo5g0mKhZ3trp0+j6qKji7VLvHYRMnMV0nAJHQqFj81OOzzNTzXL7bwvVCzixWsyS4UwtVdps2URwzVcvfw8p7YaUBwO2tLotTRSpFk5eu7YGQ68ZE9d6N98OgUclJuWYnuCcR7xjvHKfnxmVJT85XKOY1vv69dWw3kDL1SUIpr7M0XaKYN2j3Xb78nVX+4Nt3OTVXYWW+SqfvUS4YGXtCztT4/IcX2W0NZFKmIviXf3SDdt+lUcmlxRACXVfIGSqv3W6iKjBZk/2k1XF5+fo+linn6SiO+falDQZugKEr5E2dfE7nzGKFvKVzbqmG7YWcnCvx/at7dHouQZSwtjNgr+Vyar6C4/j8ky9fpdl1MQ2Vf+vzZzi/0iBG9tv5RoHJep4giGh25e/3bJ+8qdHqe9xY70gHQi3HymyJk/MVXr6xR98JyBkqNzc63N3ucWaxSilvoKkKuy2H7sDlyu2DlNVP4dR8FV2Ta0mtZLC+N6A38AmjSCbBChmMcDxZePHarSbX1zv87NMnYAn+/r+8xK3NLp2+S3sgiy5URdDuOux33IzRIoxiTF0Ww+RzKjlDI46hVs6ha4KFqRK7TZuDrsOrNw9Y3eliuyG6qvLhR6aYnypipZLm7b0+l283MXSV/Y5NtZQjSYM2xbyO6ElnhqoKGlULQ1Ol815VpITzZoe+4/Plb9/F9SL8UDrQNE0lIaZeztPqufTcAAHstWyaXY8oijm1WCVJpIMwb+mU8gbnlmv0bJ/ra22iKKY78NP+F6YqKyo9x6dSMNE0hfPLNXKmlio5yGOHzvBj3B+KovAzH13myt0mAvD8gH/0pSu0+h6eLwslLUPDC0Jc77BA4s0QJRAF4KbKbl4QEIQJ85Mqjh8yXc3xU0/MsbnfJ4gSLizX2G873N3uoakKzzw2zbcubZEk8JHzU/xPX73C1TsterZPvWxxcr7CIysNzixWqRRNbm10ZDGpHxFEAWvbfb710iZhlLAyV+biyYZkpYsTqiWTM4vV+zLrDvcwMsCuc/5E/b7MUitzFYSQanaGpjJRzTFVz+Om9tvV1Ra3N7vcmpQywGP3Jk64erdJ3w6yfvtmSScPQqvrcmO9TZLARDXHyfnK2zrPMcZx0JGS9EkiEyuO7jPeb1jb6UnZagEnZspjQdR3A0EY882XNtjc66NpCnOTeb51aRvHDfHSwGP8Fn25e52Avc4+AjBUgWVphHHC5v6AKEkomBrFgk4Ux3z/6g4KgucjmXCUt1SmawWWZoqcP9GgXrGyQqqdpk2CDOxcudtkt+lg6CoXVhpEccJey+YHV/e4erdNb+BhmhphGFHMGey3HSarOc6fqN83EeB+uLHeptmR+4yl6RJbBwM8P8rsmiFbMMiisqurLaIooVw0OLtYe1+qX7R6LjfW5LzSqFicWqi+1006xjGO8R5jcbrE3/7ffpr/6p+/yLdf2eLv/NYlrt5t8b/5tcfv8bMd44MJ2/X5+//qZb754gZvJT7rRcjqzBSGBqauYRgK3b5HGMdUSxaun7A8VyZJpFqWTJZMaFRNmh2P6Xqeu9sdvvH9dcmGLeDpC9PMT5ZYni0TBBGtnkz0baTJHj/3zAmu3mkSxTHT9QKVokm9bL3Ld+bdx5jdNlsei6cc4xg/CViaLmEZMml/opobs5cfFsszJXKmPMdkNfeGbK2uF3I5jbGcmC0jBGiq4AdX9ljb7eF6ER8+N8nKkb30RCVHuWDStQOCKGbgBNxc7/CFpxfQNElSM/RtWobGL3/mFD+4soPjhcxOFLh8u8XG3oCXb+xLn0pKbFcpGuy1bPpOwG7Tptlxcf2IgRewutklSiR5k6GqJMBExSKf1ykXdIJU/fDK3bYkjhAQxjGbe31UTUUBivkEUzeYqJo0uy6FnEaUErSpiiAIbVZmK9zaaLHf8VBUWJgoYnsB7Z4PAjShUChoqEKhlNe5tSFjKIqq8uVv35FFaEpCwTKIE9hpO/iR9B3e2Ojwe396G0MV9LyIOI6plyzKlsa/ee62VM5IC01cP+a1uy3OLVX5pU+dzmJulaLJS1d32Wk5TNdy3NnqSpVzVfDJJ+Y5tVBh62DAdD3P9bUWra7L7GQRL0zYORjQTtWXT82XJVO6EAgEra7D5bttNFXQKOd4+cYefiATZesVi429PiQwO1Fgcbp0T18a4u52l50D+6FjIcM4aM/2sb2I8ycqPHKinq1nIH27w7ikrik8cqKO9YAkr9E+nbe0t7R/fa9wc70t49UCTs1XUj+6jGWdW65TfAPfraoqXLnTpDvw0FNSwnold49fr1zQWU3ZshenSzz38ia3Njq0eh4LkwUUVaFgqVy508YLQppd+b7th0yUTFp9H4RgqlagWjK5crfJt1/b4cVr+/za507R7Hrc3e5w5U4LIQS1ssUnn5jjznaX3QM5psNIFkb0BwF+KJUB8obKi9f2mKzm6A4CdFUqmSoKrO0NEHsDrtyC04tl4kRhfrKIHyZ4ns/qTj8r/KmVFMIYeq6P40Vs7g0YWmCmLnj81CQI2GvbeF7ETnNArWRiOwFxIgkrq0WDE3MVzi/XeeHyDp2eQ8/xWZgqsb7Xp2sH9J2AUwsVrq226PY9Nvb6HHSlj0AhIRGCR5YbnD9R5eR8FRBsH/TZbbt0Bj4r8xWqRZOd5oAXLu/Qt0NubnYo5TTKBZOZRoGl6RKlvMErN/c56Di8dusgI9Z44swk9bJFwdJ57pVNoihhbrLATCPPqzf3icKExZkSC9Mlpmr5e3y7oz6a0wtVqiWT6XqeL3xkkbXdPvWyyemF2rvWt3/SUMwb/MxHl7i10ZF+82V5L6M44cqdJj0nYOAELM+W+OyT83zpO3dQVQVLE8SJ4E9e3MINwpQITEMVUp1C1xUKpoYQOoYe4fshXhCz346AiHZfkkkKAUlymFgexjFeIAuLek7IQcvh5RsteSyQsxSiMGbgQrvvc2uzzXdf3URRBKW8SblgMDuZ5+5Wlz925bjNWzr1iiXj75aO4waYmg4JfP35VdZ2ewAsThX56MVZTs5XUBTBV59f5avfvUuCjPv/pS+eZ6/lcHerS9fxyVsaS9Nl1nd7VIsmpxerKAi+/J077LUcNE3h6UemsN2Q3ZbH9oFNnMD8ZJErd5o4XpgVedxYa7O22yMIIqZqeR47PfnAxOA4jvmjF9bZPhigqoJPPTHPwsgad3K+khXBTdfzxwobx6DT97i+JnOnamWT0wv3j6O9VSiKwsVTdb772jaKUHj0VH3s85vrLf6v/+B5XE/mdX3i0Sl6tkcUgyjEPHmmxp9esklIWJmrsN92GNjSrvzQ2Rx/9nNnef1Ok8lKjtmJAv/tv3iRnhMwUbKYqOT4N8/eJYxilqaL7Lf7vHjtgIEbsDgl8/F6joxZB0HIb33tBjFQsFR+5dOnuHK3RW/gMTdRYGmmwrdeWieK4ZETdabqOW6st1EVhSfPThIEMZfvNikYOhdONnjl5n6Wq9btu/zW128QRDFTtRy1gs5zr+1CknB2ucZULcf6rlSjuHi6zj/80hW6A0nW+Jd//jyuF9LqyXa8dG2X33/2DlGcsDhV4s9//iTfGwRAwsUTFX7/22vc2uigqwo//8wSSQLdfkAhJ4+/dG2PMC3k3N7v85XvrhIncHa5yp2NLtdWWyAEz4Qhr98WrO/0ieKYp85N8vqdFgqCUlHnf/2rj3Firozny3y+W5sdXr3VJE4SPnRukqfOT7PbtNE1hWrJ4g+eu0Or52EYKh85N4XrSYWi2Yk8tSP+nK9/7y4vXN4F4OkLM3x+JM46O1Hks08tsHkwYLKay/qE44XUytYbxlvjOOHaWotumlc1P1nguVe2sZ2AfE7n5z++NKYQ9k5wYrZMztQIwvhN963vJ7h+yJe/c5fewCdnqnzh6SWqpfe/v20Ulq5wbV3GBxVFcD7NbzvGe49f/9z597oJbxmjhCAAsx/EovAo4qvPr3LQdcmbGvNTj8Hb8El/MGaxH1MoimCmIR1Wo4xXrZ5LmC401aKJEPK40QSErf0BYRizvtOj3fPY2rfppI4LTVV49tImG7s96mWLJJHJ9D+4siOZ8XWZwHF7s4MfxOy1bLb37ZRNUyWMSJlr5UaolDelo62cY3GqRDlv0hm4UtEjlaVVFAXTVAnCBM8HkIzCqiIwdQU/iLPN5ZXbTZodl9lGkU5vKFUsJVS/8t27bB/YdAc+fTskiGLOLNaoliw+fH6az314iQ89MsPcRIk4kfKFrY5Ds+Mx8EIKls6l6/s8e0k6H7Z2B3heSD+VL97ZH+D6Ec9d2rrneXz1+VWEkJJxthfR6riEUczaTp9mT0oY217IXttlry0lS4MwIYqhMwiIUin7MEr45oubnFms8/PPrKAqCqqi0h34HHRdwkgWvERJgh/EXL7bYqfl4PoBPdtnp2kzcAOu3Gnx+m2ZgBZFCZ2+z9peLzUCPXqDgEbFRBEKAy+iVDC4fKeVSbJeW22mig0RnYHP7c0OBx2X/bbDXsthr2Wz33E46DiSDc7SObdU59yJOpoqMvmxKEp46frePfdrp2lnTLGeH7FzH4nUtd1eVvnc7Lrc2epksrt+EI/Jaq3udDN62Z0D+4fOTLq1P8hY2Ww3vEcW7oeFs0s1PnphBstQ8YM4k8RrdtysHb/3zZuZ3Ntuy+bynRZ910/lfCVby8AN2dgfsN+y6Q6C1CEjuLHeYfPAzpyH7YHHbtNh+8DJpMIPuq6c/BOQBeUJQZQQR2A7EbaXMq8HMVEkk7EcNyKf0/AD6dhN0u/0nYDbG51Unj2gY/vstT1ubXRk5XwiMHWV+akSM40Sn3xyAdPUUFUpR277srDo+pos4LHdgK2mkyrVJIShvNa9psPGbp+1nT6GKgiChCCIaXY9bq53KeZktXmr66FpCo4fYhgqM40Cm3sD3CBibqJIz/G5uS7bttuyee6VbVa3ZT/tOz431tq0ux55U8MNZCL49fU2nf7heNjYvVcG8dXrB5TyBgtT5ZRtS0PTVB47NcHTF2bGDG9VEcxOFFiYKj0wIePCSoNf/MQK55brMmiRPq/V7d476n/1ssXidOmYOf+HgP/6t18ZY8j+yvNr3N7qYbvpHD7wmWkUObdcRwiFk3MV2r0AL5DsVK/cOsD2AnaaNj07YK9tZ3Kd5aLJL37yFIW8QZJIO2Fjb8DA9Wl1PeKUhanZ9VIGCsmoqSqCMJ2DXS9it+XwzZc2UuYdlU7fZ2O/j6ZINavF6RKNao7F6RJzU2V+6VOn+MQTC+iaKhnwdZWXb+zxg2t7NLsuIOf/517eBA777ZPnppifLCIUQRhJhYmt/QHtvs/lW03CULJdBVHCTsshiGLmJ0ssTpUYuJGcv+KE9d0+rZ6bbb53UvvAdgNWt3v0bD879+9+8xZJAnlLxQ8SHD/E92McPyZnqtheJFUvDI3vvrbFlTsH3NqUgaeDrkvgR1JC2otpD3z2OpLZK4wSwkiqHflhTLcf4HoRnb6Prsnr2zzo03cD9tsurhewttPHD2VQ6fLtA+plQwbPKzlaPY9m16Vv+2zu2XR6Hp2+x27LJm/pUgbbDYlj8P2YxelSFlRc3e5BAq9c35eBOEVKu2+l92Vzz0YTsNNy0FLp2LXdPkEYs9202dwfsN92srW3Z/tpX+pLRSJH9j/bC9k+sNlvO9IuObBx/ZAwjNncH7DXtlEVhclqDlNXD+eoYzwQeUvjQ+emeOrcFF/57ipRHGXMMgIFN4jesexsak6z25JFD+WSye2tDk+cmeIj56cJ4ySz1YIw4tpqhyfPTPHU2Sku3dhnt+nQ6nm4vlR5ubvdxXYC1nf7DJwgk2/PWzrXV9tEiVyDuwOf3sDnW5c2M5uv3fPGZGxHsbk3yJhFBk4wJml8FCdmK3zs4ixPnZvK9kuVosl2WtgBsLHXZ+uI1PFBx8mkysMwZnNv8Lbv69puL5Na3287DN6mdPoxxnF3+/C+7jRtmWjyPkUQRjIREKQttvPObLH7YftgkElSO27A159fY2Ovh1AUyQqJLNx6O0gAP0oyRmoviEkScPwI25Frm+2GdGzJpNezPWwvYuAG5HMGlqllanKqqjA3WWR+sojthrieTAwrFww29vrUyxadgU8USbKHdt+j1fUII+gMfPbbDrYbZvPJm6Fn+zQ70t6I4yQLyoC0a47uP9f3pKR6z/ZZ3e7RfBPZ+PcK6zv9rP8fdFz6x/PKMY5xDKSN9R//laf5zV94BEVIH+X//u9+i+2Dt2/HHOP9g9duNXnp2t5oPcbbgqooFPMmfih90Jap43iSddLUpApkqWASRQleELPbdDizWKOYM/jTH2zQ7nuEUYzjhRy0Xc4u1TB1lWLekP6AkYTXct7g6QszfPzROVbmKh+IAg4/OGK3vUMf2jGO8UGEEILpep7F6dLbZiIdPceDEt2H2Do4jLGoisKJ2QoDJ2K/4+L5MvaxdWDLBP4R7DRtcqZGwdIAgaGrWKbGzY0ei9MlpurjycOlvMFnPrTIzz+zQsGSyZBCCJptl8u3m4BUDUliqBQtcqaOF0Rs7PXpOwHb+wMGnvT1+4GM/wkhaA8Cuv2AqVpBqmJ4MbYXkiSC3iDA9WLiJMEPQmISiAU5U8XxIlRVRVM1dE3D9aJUBVXh9maHVt9HUQRJDLc2uwxcSWrluCG2F9Lu+QzckBsbXek/TWDghPRcWdQShjJmZeoqnh+hCMF3X98hjhN6dsD6vo3jBMSRtCF+99lbJECELELoO3KPHScJ19Y68p6nMbeN3T5uINVRdls211dbklk4Srh0fY9GJUcSS8WTVt8DIQjDmG+9tD62P7ux1qZckPHrO5sdbm92qRSMNDl8Cz+Q/cLxQl69uZ/F/kbjckfhBdFbjoVcvSvjoCDj2aam3KPCsd92srhkEMZsvYF9Ndqn38r+9b1C3wk4SJ9LksDrt5tjsd2N3Te+h5eu72b5CQM3YKfl3OPXi+OErQObRiVHo5Lj+lqLG+tt/DDCdgOurbbpDXyur3UYuAHdQZASzfUIw4Rr6x0UoZA3NabqedZ3e1mBmeOHfPOlDYQQXF/rECcQRgn7bYcXXt8h9GP2WtKX0Hd8dps2fcfH80OSGPquZOfe2OvjhxEDN0TTVTb2BohEEEWSzfXu9oAkkXOPZais7fZRhPTMCqEwcCM0VckIK0d7qBckFEydWlnOLYW8jlAU9jouiRAoiiBn6Rx0fU7MVljd6WLoKkqq3LGWxr79IMRxQr772jZRlHDQ8QDBzfUOYZTghTLnYKqRo5AzmW4UmJ0oIITCdC1PvWyxvttP52VJ0NgZeNmYL+R0DtoOjUoui9+vbvdk3LklfaWbe336dsC30wIOkL7aZ1/eopgzqJRMugOfYk6/JxHyqI9mbaRvzU4U+eiFmeMCjncBjUqOpy/McGGlgZLGeA460ietCkG5YCCE4OZWl0LOoFHJoSgqA9vHDUL8QKq72F5A3wnRNamU1HcjykWTWtlCKApCERxNG3+Q+FCUKgKO+iYTwHZjEhTiBFkkGUIQJvhBQs8J6LsBzY5H3wlTuyCiN/DYS3MWgiihmDepVyz8IJbzii8VfVd3pCJPksj169L1Pbwgzq7vhdd3ubsl43vFnE63LwksLUNL1+2Yy3cP2GulRG1hzPU1OdZKeanAtdu0Wd/tjeRjyDyE1Z0efSfADxNaPQ9I2GvfPwa2uTfI9uzDdXQUSpoPsDj94HyAY/xkYX23n8XRWt0Hx9HeKoIwptnxOLNQ49R8he2Dcfvln335Cq53mNf1B99ZQ9ekmloQwLde2aGUNyjnTW6stdltOZk65wuX91mZq/CLn1jhoxdn+OrzdwFBKWfghTH/85/eQgip5La5P+Arz69JJQov4nuvbTNwAzRFwdBUbm32aPU9dFUQRvBbX7/OdD3P6cUauq7y5e/eQVEUVFVwc7PN67eazE0Uma7n+fYrklTuzEKNuUaR5y5tjuWq/Ztv3SZInS67LYdnX91GUwWapnBjrc3V1Ra1kkWlYPK7f3KTvhOiKII4gd/6o+vkLV3mNgiRFXAArO12ee61HU4tVDi1UOX71/bZ2O1h6iqKIvidb9xECIXJWp68ZfB7z97KFKv6dsDXvreWqbFeurrH9bUWmqagqYLnXtthv+1m7XjuZUns5QcRAzvkj763xlRN7svyls4rN/Yp5nXKBYMb6x2iKGJxusRMo8DtzXY6Z4HvR3zl+bsUcvKaFKFwfbWV9QfHj7ICDoAXLm/j++O5eQvTJT56YYaVOVmMP5Hmj7xRcTDIQqXuSF7Vc69sYafxD9sJeO1W8yF69MNhmEf7MPvW9xOu3m3RS8e+40W8euvgPW7RW8eXv7tOu+dj6CqaqvD159fe6ya9ZfzBn9y8572bN+9974OGX/ob//q9bsJbxmu32mOv/85vv/LeNOQd4OsvbtB3QkxdI4rhK99dfVvnOS7ieB9COVJte/Q1kBV0KCkDSEqQkW24tFSCGMgqx7Uj1d1D1QFFURikjPiOLx2Zw0rwdH94KO+XnkLXNYQQKEIujlLqV6TnHX5Xzc4v2yDkd1Qlc8Cqwx8Ynjd1CgzPOWyykr4evZ5hG8Xw2ofnVJWRa0uPUcbv29FKrrG2ZPdQvjb04Q8f/v6D6qGH7xsjzg1VHLZFMHp/5N+GenjNDO8n8r5p2viDHSasZdcl0ns6/H1xOKjVkWMgff7i8F4KwT19ZHjeo8wyR/vO6Pkf9Bru7bvDe3H4+QOOFeOf/TBwlJX1R83Sqhx5PsO/FUWMbeSHz2o4vsZukxCoinJ479LjRu+yGP5PYWQMCe7bi0feHv1UZONIoKgjYzH7zmHbRHoNYmTMghwTipJ+nrIzDU+iCCF/Q6S/IQ5PNjynUOS8JvuxMtLO8faoyuH7ijhsRzY/pK8POtIZ3e65dPpyQ6MgEMrI/JqNnSP99n59/cic8m6xM2X3OPvtd+W0x/ghwFDHHXAqoI/0A0XIeVKk/V1Njx+OBmVkLCvpuBjta4oiDtfm4XHI9VUb+e7ofH6UvUMRIpNjFiTYbkhvEKSJ+fcPSB2d2zVVuWdMaA9gNhhrUzqvKypjfVrX1JHjxhd6VRFH1gYlW/fkNR5eq3GEWXB0DlKUw7kUQNXE2BhVGF/Y1aEDe+Q7hzaAGGmfgkDef/lsQRGKvM7huRWBrh06DkR6jmyeUeSb6nDuY8T2OXJbh6+H6/mwUUN7SRHyGGVk3Ri77iP3Qf6WuOf+i2wuFhxdo+55Jvzo188POrQjc8XoOvqOMfq8xfj4Hc49Q4x+pqnK4Thh2HfEfecikLbs6LKnKOIeW/FB/eKec72N/nP0t46uuUfP+U766D3z6HF/f1egfoDu63CPNsT99ubvFKoqxtYZub6k8++79BtH+/JwPVCVwy2AEIpcExldWx5uLB/dRwqFEX/B+HrzsPfwnr2kenQvea+ds90csLU/YLdpc2O9kwXF3k84evnv4+5/jGMc40cMIQR/7gtn+c/+2jOU8jo31tr8+//PP+bL37lD8qCMmmN8ICDtbfGuLOzD0xz6wkS6D0z3cBx+OOrr1jRBEER0Bz4DJ2Sv42C7P16FhPfYbceL7DGO8UPH/XxE2jB+MPRPqMq9tn3mFxv3Z94vbncUo/sC6WM7/EzTDl8PfYgPiucd9acdHpfghxFRkhDHUp1j+H0l3buJ4fHKYbxh+Juqenj8oW8l+9Ux39zYNDXu7huPwTD0/8o3lHSjdegrvL9vduQxHPpmR3yQIr0Jh77DI3HVkevQhsGdFOqIL1ZRxn1O2pHnOLaXO+KbHIUy1uCHi4Xc81v38VO/Fd/OB83vebR5R8fQm7VfG41PMxJ3OPI9MfYddaxvDV2dw3F9OL7luYf9c3j8MGaS9e30BJmPevi+JjLfQhZ7PNKeoe/kaLsz3+CRsTbsL0d9/od9/v73S7Nke0a/NPRtjfrN5W+k4yg9OopJSXACdttOlhR6OA+MX7euKRzG8u9v22Qxnqz9pG04+r4Y+/zQdzPun9ZH+414uHj/D8M/doz74375GMNcEhjG3w6PGR0rcs5VsjFwGMd6+Of3oLl4dESMrl+MrKna6NhK4/tidN0dxh7E+HUIAdrIcdqRvm3oI7YAIs1FGh+TR9XINPXeOMdYDFbIuFgWIxEjY+gB9+vonHvUd3mMYxzFg2zid35extaLo132nhj6/b4/8t3R9fBIetdY7gMcidcJuaZkY+iobZ+N9fRcR+w214todl3aPU+S0o7al0eOPfr6HhtIjNufI9PGA/MCH/R69P7pR/NBtPHfPXp/Rtt1NEfi6F5IOWLo6EeKv9Qj16SMXMfR3z16b0fnJ5UjeXqK4Gjo+u3iqN19T385nifftL99EJC3xjvM+33PdD8UJ9/rFhzjQfgADgmMo2vB21QG+gBe+o8PgjDm9maHG2vtMfbFWtnC80NevrHH3Z0uM/eRipmfLFLI6SxNlbB0DS+IqRYM6iWLUsHgZz+2zMJUkf2OAwlM1fM888QclaKBIKFRtvjYhRnyOY3t5iANBiYULI1axWJltkze0mj3PFpdl7XtPn1HMjoYmsAyJGvw9bU2jh8ShbIyvpTTaZQtTEMhjCMMTUgp9rIJxAxcj07X4xvfX+W7r22RkMhNUQKlgs4v/tRJlmZKJKQDU8DLN/fY2O3x9efv8s+/eoU/fmGdF6/usrk/IAwj+naAaSjkTZWe7TNVszgxV2CnZaMq8vxJkmDoCuW8geOFNDsu//wrV/jyd+7y1e/KP7ONHEkSo6kw08hzcr5C3tJQFEHB1OjbPqoQqCIhZ5IZmZoKtZKOaSjomoKpKZxarPInP1jjyu0mC9MFNFVQL1s8stJgtl4gb2mSgVlAtWSxOCWf50wtz/JMkUrR5ORcibmJPDlTxfVCqkWDyWqOgevTs32qJYOEhIlKjqXpEpqm8LGLM5nB+siJBnEcs7nfR1Nkm6pFk722lJ6drOaYqOTwgpDXbh8Qx5J9Z78tmZgnazkURZA3NT56cWa8v9o+0/U85aKBEFAuGvew24CUMBtWIc9NFlieLVMtmQgBxbzO7EQxO/bkfAVNk0HN5Zny25L6fiuYn5TsSkJIdYKJyhvLMr/bqBSlzOxE1aJSNJmq5bJ2/PmfOUujYqEIWJmt8Omn5qkUDXRNUCzI+2lqKlM1i3rF4uxSFUNT8IOIQk5FCEiQqjBJHEomloGP64d4QUi9qBElCQnSCaJpCuWCTt7UKOU1KgUdVVHImQqaIpgom0xUcxRMjVPzZeYmCtTLFsW8RjmvM1Ey6A48bCdEEQmWrmEZKmGYoIoIQ1ewTJ2zSzVcP6RcNDLp8jiMefXmHgPH5/LtA1a3OmhpMmjR0rEMKVXeG/hcur7LwPFx/QA9dbaomqCY12XVuiodV6+l1cq6prDfsVEUaHYcdls2c5MFzi3XiGIoFwzOLddwvJC1nR5eGPHU2SkWpkpUiyaTtRydgcfmXp9232O/bXNjvcXmfj9TSBjiYxdnyJkqqio4MVdmt2WzttN7YOKY7Qa8dH2Pb3x/jetrLaIH0DEausryTDlNBFeyave3AtsNuLHWTtWX3lzhptV1ub7WesP2/yQgihNWt7tcX2vRTpkL3gj/6f/yY2NOj8fONNg5GKSy2D2KOT2Vu9YxVMGL13aolXTCOEFXBTM1i2urLQaOzw+u7rKx12O6ns7Dlsb2wYDpeo7tgz49x2dpukg+pzE/VaRSMnD9iMXpIrqmUMobzE5IpibJzAOVosFUPc/nP7yAqav0nZBSXieXrp2mPs5Q4Psh33l1i5sbbVRF9gvbC9ja73Nzo83dnS4/uLLL1bsHKCT88ffXePbldb72/CrPXtrgT36wxvW1NgI5FqsFk9duHWSqGoqA5dkyHz4/yVLKDpi3NE4vVikXDOIo4k9fXOef/OEV9loDhIALJ6rYrlQEKOV0bqx1uLnZ5uZ6i+lGkUJOVjZPVC3mGnlmGgWWZ8pYhs7CVJFKwcAPIy6eqBMncGahih9ETNZy5EyVJE4o5jWCKKFWMjE0OQfqGkSxDHCGUUKz62HoCgnQqFg8eWaCk7Nlpmo5+m7AwlSRKI5ptm1mGnn+9MUNNvZ6fPOlDdo9D9MQeH7EVM2i0/Pw/IjJao5O32N2Qq5NQ8P++lorY5NbmaugawoffmSKWslk4IZUSwaNioVhqFxYaZDPGTx6coKJiiWlns9MoGsKyzMlyV6iCBaniwgBk7UctbLF0kwJy1QpFQxOLVQoWDonZkrMTRbSfpOTbE9uwGyjwFQtn63lw752jIfDQcfhoxeniWNp/CrDoEAS03kXGHc8T6pQ7TT73Nro8uTpKboDnyt3mrxyc4+rd1p0Bi6FnM7TF2dShrmAldlSKhkuC70WZ4o8cqJBqWiyPCvHZ61kst0ccNB1uLBS56DroSoJhqZgeyGnFisMXHkNM408pfz9FZ90TUkLKV0aFStVDUzY3OtzbbXFbutwfd3aH3BttcVO06Zv+9la9uHz0+Rzemq76qzu9Hj91gGbe32SJKFetmhULISQKigLU8X7tuVhsDJXyWzZhani22YyPcY4VublfKYogqWZ9zcTmaYqnJiVtpimKZycf+u22BshjqViVTGn44cR5bzO0nSBKI4k22vKdhe/A+buBLC9COIYXZO/qSqCiXqOgmVQyhvUyxYL00Xmp4pM1XKcnK8y0ygwVc+z27K5ttrKxhhIO7pRtdhtSda6Xt/n7laX80tVJmu5jNH77IkaM408cxMFput5amUTVRX3tTWHY35oZxdyOtP1HFv7Ay7faWLqCpap4gcRt7c6XL7dHFPjWJou4QdRaveYhGHMlTtNbq63cf0wu99rOz2ur7UyVbEfNU6MzCvzU8VMfny0bW+kUnSMYxzjxx9PnZviv/rrn+XiyQauH/F3fusS/6f/73cy1aZjfPBwcaXOienCA9ltHwaGJoP/XhBSzhvkLJUgjDAMhSCI2DjooSkJE6l/sVYy+fxHljJf68997AS1kolArpMXVuqZ6uwbYa/l3GMHvBlurLX42vOrvHB5m/idGDFvEbo2bredepfttmMc4xj3Ym6ySDEvYyy1skmjbDE3UaCcNzA1FVMXaBocdMcLx4axpdlGgROzZYo5nc39Pn/yg3X+zr94iXZ33Bfb6rq8eG2XP31xjWt3m1xbbfLy9T0KORm78nzJxn/+RI2zi1JlSFMFpxerLEwWWZmrMFE2yVsa5YL0kZq69EXGsWT9n54oUM5reF6E54fkDQ1dV9EUJfVbqkxP5LEMDcvQ8P2I/daArYM+cRLTtz08L+RnP7JEtWTiBxFhFLM4WcB2QrwgQpcE+iRxTBBGTNdz+EFEFEol4XLewNRVJisWT5yeJIwi2j0ZD/y3Pn+GKCGL0UxWc+QMDUHCz31sAdcNcN0QTVXImSp+KBnLL6zU6A18giDmj7+/xtpOD12Tfs1i3kAXgu9f3uH1Owc8cqLMxl6fKJJM50szZWw3YH23x8p8MVUPkIz+i5MFLt3Y45Ub+5QLBh86N4WqSqWSn356Cc+P2NzvEycJHzo3la1HK7MVugP/vntCXVOZquWl/6njsDBVetM+eO5Eg5lGHiEkg/3jpyfuOWaymhuLS85NPNhPdLRP/6jjhm8VeUtnfqooY4a6ymOnJ5ms5RACcpbG4vQb38MPn5+mVDCoFU0Wp4vMThTG/Hp92+dblzbYbtoM3IAwiinkNKZqeTRNYaKa47HTk0zX85xfaTBRtSRDs0gQSIWXTz4+y3Q9R97SKeR0/sxPnUTXBEIk1Msmn/vwHIoiePRUQyazioRq0aRo6azt9oiTGM8PiRNBuWSSt/S0aCihlNeAmJiYTs+l2XXZOeijK7HMPyBBUwUzkzJO8tGLM9KmFlLVLEn9I7WSgarIWDdJMhbnyZsKGzs2l283Oeg4dAceCrA8V6ZWNqmWTDw/ZK9l8/f/1SW+/NwtXriyjeN6OF6IqoAfRgRRRM/26PY9bqy1iJOYQk7nU0/OUykYlAoG55drzE2UWEpZ+3VNYaaeZ6cpFbYXp4ps7PW5eleqnZeLBrWSSd7UiOKEJ89OspsqvXtBxMm5ClP1PDP1fBoPl4V2n/nQHPmcjqoKzi7X+OmnlzENGd986uwUmqpwY7095k8p5HTmJgsoikjV4GNWt7tZUcpRxHHMi1d3+drzq1y+88FjmH4vEUUxd7dkbHJjp883frDGNy9t8O1XNvgXX7/GP/2DyxQtjZyloamCiaolx0IiE4BNXaVRkTH8vuNz0HFIiFndanN3u4fvRzheyMNuTeIYTIMjpE4wUTUo5jT0lFE+ZwgsUyVvqNRKFjONPK2ew9ZeH4gp5Qxm6jkaFZkXIYRc3zf3+hx0bXKGhheEJHHMdD1Pc+DjehH1ssxbiuMYz48oWDq/+qnTPHFmAlWVOQKffmqe6bSfz9TzTNXzXFhpcGq+ksWxPvLINCeP+KQXp0pUSyZhJAluc6bK4lQRXVfRVZVT8xVqZYsgirl0fY8XXt/h9mYnU2yanShydrmGqgryOZ2nL0y/6/3hGD9eWJgq0O57bB0MKOZ1ig+Io71VqKpCtSjj8JfvNJmu5fnOy5v8t//iJf7xl17nN794EVUROF6IIuCv/tIFNE0hThKm63l+6RMrDGyf3sDn8dOTTDdyOH6EG0R88okZ/tY/fYF/9z//Mv/R3/5jPvnkDIWchuuHTFQtfvOL53H9kN7AZ3m6yJ/55CnafRc/CPnYxRnmJwuoioxRPHGmQbVo0uy4hFHMX/r5s1IZbq1FnCQ8fqpBu+ex13aYKFmcWaywttNlc6/Pp5+cxw8ivnd5h8t3mjzz6Az7bYdL1/fYa9v8uc+eoTfwOGjbFC2NX/vcaQQyT/DjF2d4/PQU+x2HTt/lL//8WXRNMHADgiDiN37pPPU0pjjTKPBrXzhFp+9x0LGZqFhcWGnw5e/c4cvfucPphSqqkH6PO1sdfu1TpynmNDoDD1WBX//8aQaOz+Z+H1UV/PrnTmOla+xnnlrimUdnMt/Kr/zUKWYbeWwnQBHwcx9dolyQtkilaPBzTy9muSqtnsvHHp3BSM/14fNThGGcxU0Xp0vUSibNnktCwi88c4KBE3Bnq0uSJJycq2RrixtEfP7pRXRN5jd+4SNLGfnoO0W1ZKaqipAzNT7z5Hxmm07Wclw8da+t/pOGc0s1Bo7Pqzf32W0NuLhSf6+b9Jbx0x89wUTVwnED/CDiVz678l436S3jUxdO3fPeqVP3vvdBwz/7z7/4XjfhLeNnPjJuP/3dv/70e9SSt4/PPbWEZajst22CMOIXP7H8ts4jkmMqr4fGK69IyZbHHnvsXTnflbvNTEpKVQWPn55E1xR2mraUIUufzJnFKh97dPa+57i92eHZS5vZ6yfOTvJYuvC9duuAQVocoqkKMxN51ncOA35zEwW+eWmDIIi4crdFztJYma2Qz+nMTxS4vtbm1kaH21sdSnmDIIx5dKWOE8RYhsoLr29Lmd0E4ijm9EKZMIInzk6wut2nUjToDnwWp4psHdjomsJL1/bwAlnwEYQx9bJFnCR88RMnODFTYXmmxFoqI/fcK5sIBJ2+hx9GaKpgr+VQKRi0+j4rs2UOui7T9RxRJB2/OVMWXdze6rDfdnD9kE7fZ2GyiBfEXDhR48rdFqahcNDxKOUNTEMlimOm6wVcP+Ljj05j6BoTFYvnXt7C9QNevLpPMadz0HUwNCW9hpjZiSKqKvgrv3iebj+ka/v84PIOpYJB3w6YquV5ZKVOMa9zYaUByOSUtZ0eAydgY6/P3GSBYs5gYbqYOQ+v3JGSt7stm+7Ap1422e+4TFVz7LYcJms59tsu1ZLJZDVHpWhwbnl8cb+10eG5lw/7xmOnJ7h6p4UfyiTuWsmkUjS5k8pNCgGffGKOneZhwsjCVJG5yeIb9tefNHz/+9/HMIx3bR54WOy3HW5tdLh0Y4+DtkMQxVi6xsfSApuDrsOL1/YY2D4d25eORqHQH/hAWrChKizPVljd7oyxw3zhIws0qgXKBZNbGx2CMKLd9+jbPsW8Qa1koapwdrGOaUgD/sRsGceTUsd/+O1bDJwoVZtJaFRzWKaGH8TomsL8VJHJag6B4OLJBne3u3T6Huu7ffY7DlEUs9d0JKuVSBCKwqMnGsxNF9E1ePalbXqODDQIQeY4rxQNHF8mas02CgzcgKXpMnGS4PkhH390ju+8uomaqg0ZusLHH5tlslag0/cIw5i7213WdnpM1WQR0icen8uS866vtfjB1V2CQDqJ/TCimJNStZPVHB9/bJZK0Rx7Tn0n4PXbB9n8PdPIszRTHjsmjhNeuLzN9bU2SQKGofKhs1OcXqy+6/0mihMuXdvLZBsLOZ2LJxsPPN52AynZl7Z/up5nebb8wON/nHF7s5NJ7QoBj56ayJJ37zcP/MtvXOP3/vQ2IIMbtbIpN8sdj1MLFRRF4QtPL9Lpe7xweZckSWj3PD5yYRrHDTnouuRMnZev7zFVz2EZGsszZX750yezZ/LStV38MKZalAmQv/Lpk9ze7I2t9U+cnXxD5o7NvT7ru308P+Q7r21TK5lYhsZkLcfPffxEdtyf/GCNtZ0+QRix13Z4+sIM33l1C8cLaXVd1nf6GIYgjASTFYsLpxps7Q84v1zj+mqbRtVisponn9P54idW+O9++xJeuv7UyxZ/7VffeA79e799KVufFAH/wf/iKV6+vs9+26Ez8Fnf6XFuqcbNzQ6VgkG5YDBwQp55bAZFUTgxV87GdRTFXLq+TxjF7LUdXC9kplHgzlaXhakitzY79Po+uq7w6s19pusFgjCiXrGYnyjyjRfXyVs6V+9KqdHh3f3Lv/AIJ2bKLE6X0DWFWxsd4iTmuZe3KOZ0+o5Pq+uxMlfm+1f3qFdMFASGrvGpJ+b47mvbNCqyGMMyNZ44PZn1tbWdXlY8pCiCx09PZEnOo7bfTnPA4lSJE3MVDF3hiTOT97BchKmDeSiRXi4YnD/xcA6BYQHAEHOThYcKoP6k4K3YBD3b5/LtJlfvNtncH3Bnq0MQJrheKIsfEkH4FgrnhBiXOBcMGeESLFNnqpqnlNf5hZ86wR88dwfPj6kUTaplk3/v158ADuf8m2sdVne6FHI61aLJZz60MBbkDcKIS9f3ieOEvbbD5l4P09DYObAp5jTylkExr7M4XWJpRkr33g8HHYeb653s9XCcDm3jIc4u1fCDKJsDoijG9UMKOenQrhQNTi9UuXR9n3ZfFlvmTBmYXpwuHRcWHeNHine6N1jd7rJ9kBYiCPC8iN/91k12mzauF8ngZTrW40SO9XfiwCkXdCaqOcIwppQ3OL9cp1SQBRcnZstMHSnMb/Vcrq+2s9ejY/zK3SYHbZc7W12EgJXZMpO1/BvatA+yNXeaNnfTMQ9werFKvWxJe/zKLkEYI4Tg7FKV/bbDQUcWYGiawq9+5hRWqhz6+u0D+nZAkshi3IXpEqqiYBoqT5yZvOd+X1hpvKkE+I8Kazs9tvYH2etHVuoPLIg7xvsL75WP4Bg//ojjhH/9pzf5R1+6TBjFaKrgz3zyJL/2udPUStZ73bxjHMEbzQXPv7bN3/2tl2j1vIdex1UBc5M5PvH4InES873Lu/iBTCyul3KUCjpx6leQpC4GlqHxK585xccuztz3nJv7/bHYwNmlGtWSed9jAdo9j2urrez1w9jaG3t9/viFtez1hZMNPnRu6iGv+hjH+GDj2CY49DsCOF7Ina1OxnQ708jz0x+9fyD75et7/Pe/80qWDHx6ocLf+EsfAeQe4sVre9zZ7LDfcri+3kYRkLN0ZiYK/MWfPcfdrUOfwkQ1R7PrZsUBtbLJmcVa9vlwj9PsOnzte6uEYYKhqxiaZPFu913aXQ9FETQqMva2MF3E1DVaPY9K0eDGWout/QHNrpcmigvyeY2LKxMM3ABTU2n2XGw3pNNziUkQCKI4oVo08IKYgqUTxwlhHGMaGqRx0rnJEk+emeTL373NH7+wkbX7sVONLAYYRnGqqCHYOhjwwuvb7Hdc2j2XOI4JogQhBAVLpZgz+Hf+zKNcW2uxsdunWpTFLLMTBfwg4vefvQ0ICjmdiZrFZ59azH7zxloLP0zYbdkIEmYnisRJgiIEBx0H15f+07yp8Wc+eTKLlWwfDFjdPnwmZxar1MrSdnmj+MmoDxcYi6t+UPDjNg/86z+9SS8lntE1hZMLFZK0PjNvaTw6kog3cAJeu33AQdvh5Rsypl4pmpktMOwX+x2HZsfNYuOWqeF6IRt7fWw3oNlxcfyIG+ttgiDC9gJEIqiVTTRdZoHG8WHMs2/72F7IwJHFBkNSqVLBYKJiMVnLc3K+zPJMhede3uDqqiQq9PyIaslA01QqBYMkAdcL8aMYP4iIY7BM+Xv7bSejydY0lSfPTFIu6Hzo3DR3tzp86dt3cNwQ2w1RVciZOlP1HLONIkEY0R0EkhzTj6mVDBRF+vHrFYtHTzYycoejiOKES9f3CNOEcSESbqx3Mj9/vWwxUctl4ylnaThumH1/ebbMdD3/lvwNSSJ/0w/kbw79KUM4XsirN/czX9VkLXdf8rlL12WR1xCfenL+JyrW+E7mghtr7Yx45I+/v4rnR/SdkLtbXUxDxdBVFAF/4WfOUcgbfOnZ2/hBSKvvo2sKH70ww5mlGn/nX7yE4wcEQUySFngkjBPFCGTOh6YKXD/G0BTZ31Km/DiWrPqaqjDTyCGEguOFrMxXqBVNtpo2M/U83YFPIafz0QsznJyvcGery+984zpru32iOEmThBcpFUxmGwW2mwNeuLxDFCd0ei6uH5EzNXRVpVoyKRcM6hVLEqc5AUmccGuzi6YKpuuFsVj+u4GXb+zhehFJkrC+22NhqoQQsihlopLj7naX25td4jhhflIWvD1sjO0YP7m43zxwc72d+bWFkPlbQ7/2O0EYxvzPf3IDz5dxeD+IuLbaYhhyzJkqjndI9Pn4mQnODu1jAb/99Wv0bJlrkCQJ+207U7JQiAjiw5yw2Yk8v/kLF7PXr90+yEiZFAHTE3kUhupuUplhuG5FcXzomweiKKLdPyz0nqiaJInIzjXTKGQxbz+IuLraOlx/qtYYYfDN9RbbzcO8jp/7+DKzDfl5GId8++WdzMZ0vZDbI7GIR1fq/O9+4zBp+L/4H55nbbeXtaOYMzJfju+HbB4MsrW3XDD47IcP7efZiTyl/KGfZXTNPbquB2Ek25EMr9+iXj4sINY1JSsaQzBmMwShjP0P9zyaJgjDQ49Tz/bY2j+818vTJcw0z0VRBI+dnsB8H5Or/bjgfvPApeu7/OG372avP/7oDJ/50OL9vv6+xc31Nn/7n30/m2OWpkv8x//OR9/bRr1FvPzyy/wn//D22Hu/97d+5T1qzdvHL/2Nfz32+rHlCv/Ff/DZ96YxbxP/3v/ja2zsHu5VPvuhef76X/zIe9iit47Xbx/we9+8lb3+yCNTfOHpQ//Xw9Yb/ORlYL+PYI9spKMoIUiTG9tdbywzo91/MAN46wg7eGfkteMdnj+M4iwBf4jdtpMaTIJiTkcgKOUNpqq57Df7jk+SkLVtL024dlwPP4yzAo44TnCDiDiB/dQ48ryIJIFO3ycIJXOL50fEsWTfIIEwlMfsp4my7b4nHZfpsWEkE1f8IGZg+8QJuKnx2R54JIm8j3GSMHCCrEBk4ITEMfi+PP/wXmwd2MQJ+EFCFMvEOc+XBRlhGKdJYjEkZKyethcRJ/L6wijBD+WfKJZyylGUsLYtJ5SBE5AAXiC/M0jZhUafxfDfQ0Z8L/17tD8M/y0dRYl0uiRkii0DRyam+P693x3iaL/ZORhkBRwAXdsfOyZJYLc1zvh5vzaB7K8Pw+h/jHcPw35jOwFxLA3zYR9rDzwGTpA+F8ke4wex7J9xQoR8vmGU4HlyPErtHQjDhL4nWZlsN8ALQoJ0A9Nz5JwRRjGeH2Mf6cetntxk+oGcsBISoiTB8UPidHzYbgCJbG/P9glD6QCVYy8kDKXzSCauJsQJJFGSOl0DOr1Azj8JxCSSrTiKCeMYxwuJIjlfxLHso2Eox7LjRYRhiONFuH6YjsuYIJAFHueXa9TKJooQNMqHyQ/N7uEYGDjSuSWvMU7nGvmZF0T3HXfDsTrE6D0bIozkuYabTD+IxuaIdxNByviVte9NfsfxjrT/Ptf4k4LRax868N8I69v99Ng4PT6S61icMHwEOy2HvbYcN3Es+3u756VMDzGOGxAnSeYgb/XcsWdiu0G2sY+ihO4guGetD95kbh5eVwI0yhaGpkqHaHk8Caid2gxBOkZtN8zmmUw9LJE3x/YC3HQ8ul6EH8bZWm07Aa2OkxVwAHQGb65sMjoW4wS2dvt0U0UK1wuI4gQ/VQFz/ZAgGr6W92f0vgRhnI0DmfQima+SJMELIhw3IIgiOb8mEERy3PTtgGbXJUkYYxwdzp93N9vpPQ0yNsEgSDKbx/EivEDOVXGcEARyTh44PoP0WQeRPN52hs4x2ddG2x/HSWYrAFlxR5wkhNGhreGn5z8KP4gyB5ls78OP66Nzxg9rrvpJwDCANnADoliuu1EUp/akXOPeCdLhKOebBMIootP38Dxp2yZIB2lv4Gf243B+yfrvcC/SG2enH9rvIPvTwJXjPU4SHC8iiuOsj75RHzna9zLbZoSNE8D2gnvGsD3iYLbdMBvXXhBmbbzfuY5xjPc7xmzFBNb3ukShtHmTJMnG9HB6f6cMHGEoGV/jRM5HQcpid09bUjhHxu3oOHZcWeScJIc2uu298Rh8kK15dOwO54CBG2SBiiTd83d6h36NMIzp24evzyxWmajmUtXDQpYw5vkRUZzcc7+PXt97ieM19xjHOMZRKIrgz372NP/N3/isZNiLEn7nT27yV/8vX+W/+Z9e5JWb+z/R6pkfJOy2bDw/ekvruNybJrQHHgdtJ/Wfyb2Dnfr2ojCRvrFY7hvDKKbVcR7YL2YbBeanilRLJifmym9YwAHcs64/jK19VOnq6N7iGMc4xo83ju4XRm3anh08kLF9fa839lmzczh3OF5IEMg4n5f69aJE+kAGts9Bezym1UljjPdr07Bd2XER2bHdgYfjBZKoShHEyKLxJIHeII3HBRFhKP0ifiD3QkkCcSLjDlGcSPKoWPpokzjBD2W8MUmkPzeK5d8Jcp6NoiTzEx90XBnfiGK298eVwLcODpMaHC/MfMS+H2U+0+F54ljGX5MY+s5hXAmGcSXo9n2aHVcen0hv56gCShBGdO2AKPWh2qkvaEgmNEz0G8Z3uiMKs0f3MmNxpTeIn4z6cO/37I7xo0fPHn2uEY5zb6x77HUCvWFfS5/l0Ba4Jzae+iI6aZx6GM/vp/FvzwsJwyglk5R+1IETpCo3cux1+560mYJx5a9hPxqkfWgYzxjGwIef297hb8aJ7I9JAr4fE8VRSvAWESXSDxrHCWEQZmMC4M5mV+ZRpJnxw+lnmJMxVAp2faliMgwz9B0ZO32jvX8QRtlYBzlHjPr5mz13bDy1jthh9n1yFOCNfSFRfBifgnG/MMjYxSix0IPG6VEbsHVsEz40Rm3wnh0QpEm5YST3AyQyptTsOXh+iO2Fcq1BzqNBFHN9tUkUxySxXH+Gj+wotW+S/m+Y+Dskj0nSNQRkn4jiBC/NO/DTudrxQ+kbHMYF0v7W7sl1uGcH6Ropz7d1MMjiEu2eJ9fEKCYIE6I07yaMojRXQfY7149wvehwzUljEqPxw3eKOJZxzeG1OmleEMg4bz+Ny47GR+7nQz3GMR4Go30nSQ7XwncK1w/HzrXdHDBqdu8dyQHbGSmkIIGufTjv2M64zW4fEfBs98bfaI4oSodRwkHLHTnWG2vXTnMw9t1hzsQQjhuSt3QsQ6OY08fu13ZzMDaH7R9Rsh49V5IwRhzX6vhjcfZRdW+A3SPtaPcPX4dRTHskr6Hd98ZyBvrO+P3Yv881jZ5rdF3f74yv43tH9jVja+lIniQc5hEeHnukHZ3xduyN5l2keZLHeG9wdDwetD94NtLqTm9sjnmjnOb3K37vhe497/3h915+D1ry7uLaRufND3qf4ej8dWf73mfzfsdogSLcu749LI6LON5DjCYO5ywtq7KdnSpgaIdVj0szD2Y8XpouIoR0XoaxlBQcSlvWyxZd26fVdSnkdKbreaJYJlbEScLKbAlDF+y2BsRxzNxkgVpZqjNMVHMkqXyaSFn8kyRmabqIoQks06CQ09EVIWUSNQXT0FBEksq+SWZPVYF6xcQyVXKmRqVooCoCQ5OSqAhQFViZKxNFMQJpNGiaQqVoYJm6lIg3FapFC1WBXE5HEZJFVIhEqgQoYJkqikgo5HVmG3l0TVAummiqoFyQrOXnl6tYhpQTNnSFWtmiXDAo5XUsUyNvahQtDVJmf0WFUs7A0FXypoKlqxQseYyuKyiKQiGv8dTZKSmvWzLRNYWCpaNrCpM1K3sWQ9TKJgjJiK+qgmJaLVsfYaLJWRrNroPthmiqoFoyURWFejmHqgrqZQtDVynm0+9W7mXgW5wqkpFxCzi3PM6uNj9ZHGNZNg2V0/NVlBEG91r58Pix/mpqGSP9Md4amh2HG2stnIfclDleSN/2qRYN4jimVDAIolCyuWuCSsFkcapIrWSSM1XyOR1NVchb8vkYuqx1FyL9t6ZSKhiSRENAzlIp5XVKeZ2CJSXEVSFZoWYbsg9ZhspENYdlKjS7Uv6wWjKply3CKKZcMEhIUilehVrRSvueVKwQQmDqGvNTRTRNoZiTjPlSellHUSQDgFAEigBdVyjm5G/OThUoFw0URaAqAk1TMHQFTVWpFA0MTcpEq6qQMuimimWq1MsWmqZRzGmoioIQshLeNORneUtndqLIY6cnQJFzaJIkLI+oZjQqOYp5nSRJMHRBXtdx/ZAolmzmlaKsmh8WqPRsH0UhU0EIwxhDV4micQeyrik0KlamZFPM6WNj7d2EaagURtiFjybqH0Upb6CNKOzcb275SUFj5Np1TXlTSdNnHptBIBMqhCKZ4kt5E1OXzDVxErM8VeTkbDlL4NYUQTEnHRGGrpA3NUxdwUrn15W5spTNBA66DqWcgeeH7DYHWIagXslRL1uyEMELsQxVSnOHD55fhs/U0FXKBZOT8xVmGoVMtWKIpekSbqpAY2gCQ1eYrOayv0EmlwqgXsmRT8eeqsigRKUg+/RUPcd0PTe2hiyla0+SJPRtH8cL2dzvc+n6bhZYObNUS+9TRN5UObVUZTFVhioX5HxnGSqlvEGlaJIzFIo5jSiWUt5RlLDXsrNrHY6DUl6nmNcxDXmvhZDSnpapUyuZmLqKZWgYumSkW56RChdqOj+BdGQrAi4sl9OCsoDuwEcIOeYqRRPL1CgXDUoFKYebNzXypo6hqUzV81QKJjlTQ6Ttm6jmxvra6Fg1DZX8yJq7OC1VwBQhyJkaE9V8el8MNPVe094ypLT20T7wMKgUjDG74M3mkGM8GOWigaoKJms5QFCwpD0riFAV7snMfrNNmhj+SR+PIuSYMjRBEkeoQtp6hq5SLRkoikw+mJ8sgpBBWEFCL7UxQNp3qiruUVvp9D2aXYcojinldRqVHJoq1996xcTQ5ViUMjUJ2wfjjtghaiVzzDYdMkjXy1YmcaMogmrRlDZr+p5pqOm8I1GvWNm4Llo6QkjZdMRxHz3GBw/1skUQxrLoyo944swUhq5AkpCQYGqAcqgC9U6gINcZAWiqYKqWxxzuKQUUc5osuh6xXasl83AdEOP7w3rFwjJUdFXB0FU5J5Qtun2P7YPB2HmGeJCtOToPCAHVlMF1opLLlDLk/jrH0uzhHFUqGFSLozabysn5CudP1JlqHNo2cj8txuYITVUoF98/ShejbVNVkdmAxzjGMY6xOF3iP/trz/Cf/bWPc26pRhDGfPX5Vf4Pf+9Z/sr/+cv8l//wef7VH9/g269scWO9zdb+gIOOQ7vnsdu0Wd3ucm21xcs39vjOq1v80Qtr/P63bvFbX7/GP/z91/l//8tL/K1/9n3+7//oe/zX//xF/vvfeYX/8ctX+Pr3Vnnt1kGWWHeMt4c4TijldRTl3nXxjaAq0r6vlQwWpktYhqTOlT6lHDlTw9BVGpUchqGgqQrFvM7CbGlsDzcKIQTzk0XOLtXu8QHcD9XiuB3wMLb24pTcrw6xNP3guMYxjnGMDw5cP2Rrv4/t+m943Oh+oVw0KOYMerafMlcXUBUZd+jZPn0noGfLorTHT05ipQrgCKkUNEQaZqBv+4RRQj6noQjJ7DvTKEr1vXTe8fyQShoDAJkoZerqYcJ2mmDqBiETFRlDVBSpADFdz2e+NUNXpD0uEhRFKggqikKlYKDrKjP1PMW8jO+pAlRVIWcqJHHCwmSBKIpJSAiTmHxOBSH9HXlLlfEMQ+6JGtUchq7K39QUFiZLFPMytvjE2SkgSeOmCU+cPmTCn6jmsvhPMW+wMFkkTpnONUVgaAooAqHA3EQBIWCylkcg46imobI0U2JuuoihKSgp2/q5pRq9gcfmfh8BLE4X0HUVTRVMVHPomiJ9mGJ4XoGV+i2lv0uiXrYyEq44ibP93bBfjPovR9eWUR8ujPvnj/HeYH7ykOF6smZRrxw+y9oRu6Cc+pGLOeljyKU5D8Mch1rJSn0PUu2+mNNRFMHClPyNYsGAJJ1HkoRy0cAwNAxN2jmqqlBNx7ehKyhCsDhdRFcV8jk185WCzLkQJNRLJkmSMFnNIwQ8eVaOI0NTSZJYtoGEetkiimJMQ0mVflQUIcdTIaeRMzQ0VUGQoGsqjuvTKMs8iifOTiJEgop07+qaQpIkLEwXiaKYnCVzKU7MSmZ/VZMxiXrJRNMUSnmD7YM+N9fbRJGM6+y3bXaaNuaRMbE8WyE/8vrkXCUbT3GcMFHJHcYjR2y30bGkquINfSFHfSVjfiHknKOP+HUeNE6XZsrZA1FVMZaP8JOMvu3fUxgdp+uimxboRVGcEXctTBUxDam8UchpWR8v5DQaZQuhCMoFDV1TieOYvKmiKYKPPTFL3lRBJFnYIXXdj0EIQJH+d00BRRUYqnxmKS8KigKGpqAroGpyLTQ0FUtXKBflnsQPI4QQ9AZ+mt+jpjGGBAXQFMHyTIlESALI2UaRvKWl/kQFy5CKWMP9jVyPZX7PRC1HtWQSRTGWoaEqYiyW/zDYPuhzY62VjbFRKIrI8mc0Va5zQ1KYaslkopJD11UMQ0URUrnqOAZxjLeLxpjdo4zN8e8EeUsbi/0+drKOqSv4gcxreez0BJAQBCEJMU+dPbQrNU3hxGyJJE5I4oSZiTyGKonigjCiUTUkoUQicx3OLlYyOy8h4ZETdYJQ5inkLZXTSzVJuhhGLM+WKRUMmcsYxTx+apIwjmn3ZL7RE2cmUyIrqT771PkpijmZtzRdzzM3UcQPZDseO1nH0BVJXBjHXDw5kcUbhYBHTx2q4xi6ytMXpvD8ENcLmZ8uUi3o9B0fxwt48kwDVRHympOEx0+PK7+dWaplxZsFS2dlJF9zZbEk7Yj0v8XpEkKkhIpJwtnlanbs0TXX0Maf+an5CoZxmBd6bqk2dk1LIwpW0mbQsd1A5hMeyddbmBz3xZxbqhGlRehCwJmFw3aZunqPOrltB3z7lQ2u3W1yjB8uzi3XsmclBJxeqr63DXobeOx0A12VRV++H47t3z8o+E/+3U/e897PP/34e9CSdxe/9slT73UT3jIeWa6l5BLyzxc+8sFSpgF45ETtnjn47eA4C/s9xNBoCaOYetnKNsHlvMHPPbPMxl6fcl4Gah6EUsFkYarEdnOA50UcdBwGbsCphSrtnsut9baUFNWELJSIE3w/xtJBEQq3N3us7/YIw5hC3mC/bdMZ+EzX8izPlVmeKdHqeXT7HqqqUMiZ6JqGUODjF6bYabsEQUwQSZaKvhNwd7tH3tJ45FQd1wsJwoRaKUe5oPPoyTovXttjt2Vz0HZRFOlkOb1Q4wdXd7mZVoU9cXqCX//8GZptj1bfZetgwMAJqFUsFCENC11VWZmr8OTpKe5sd+gMpMN3abbCxx+dZXOvz8AJKOQ0enbIwlSBvGXw0UdnubPZJW9qWJaGmmbARXHCRMXCdiO2DgbsthyWpkrkczqLU3nW92wMTWGilqeSN3C8ANsL+fjFOepVi3xOo2cHnF2u0ey4MmEzp9+TLFIrWVw4UWfghlw81cAPYvKWRilvcHuzw17L4dWbe1xf72AZKnMTRT79VI0nzk0RBDFPnJnAD2MePyMl0TRNue9mcbKW5+efOcH2gc1ENcd0Pc9so8DNzQ66qnByvoKiKFSLJgM3YGm6RDFv8Kil0Rn4WZvu6a9hTL1iPTAgeIwH48rtA/7Nc7eJooRSweA3f+ERirkHO8tGZadzlkacJGiqQhgmlAoa040Cp5YqTFXztHsepxdr7LZttvdsOn2Xg45LtWJiDwK6Aw9FUwmCiC98ZIGtAxtiOL1SJ6erFPI6SZxg6BqOF3JuucrFlYmMbWKikuOrz9+lZwcULJ2cqeH5kvXjE4/PsbbTxQ9jHjtVp90P2Gs6aLrgkaUaQlU4s1jj7GINxw959tI6N9bbJCQ0Kha//rkzlAsmL9/YZb/lMjtZpGBpPLLSYGm6xEfOTvHsK1tEUYKuCW5vdsmZGn6YcO5EHRI4MVvmiTNTbO4NEArM1PO8cmsfy1QJo5BG2eLnPr5MqSAL1YZylZ4fkjd1MGGqlqc8ElBYnC6RNzVeuLzD6naPtuOiuoL6XJlHT0m5QtsNuHynyX7bodX1WJwuUi6a5A2V9b0B+y2H3sDnwkojc2wKIbhwcoJ6JUff9pms5cakEd9NCCE4v1zjoOveMxfdD4aucvFkg07Py5LRf1Ix0yhgGRp+EFFNC/TeCBdWJnji7CSrWz0aVYuPXphFILi23qTd9dFVwW7LIYxiVEVB0xKiRLDfckHIYEClaPHLnz6VFu9ZPH56Et8PWd/tsdd2WN3uctB20XWFKAGFGFNX8HzJtNMd+Lh+hKoKHjlRv68Md71s8chKHdsNefRUA9sJ77uOlPI6nh/iBTGmphBHMU+cmURVFfwwZLqa40663l88NZEWSMnA49JsielagZylc3Kugqoq/KVfuMCLV7cxNJWnzkqnzLXVFp2+z+u3D3jlxj6qKgs4/8M/9wRPnZ3i9nobx4+4sFKnaBk88/gc040CXhBSLZo0ux5feFrH8SQDXrfvYXsRtzebXL3TQtMUzixW+dijs2PjQFOl5LOpqey3HWYaBS6uNNB1lZ/5+BKr230qBZP5qSJBGPPISo1Xbx3wb3/hLP/yG9exvYDPfGgBzTB54fVtenaApiosT5f43NNLnF+usbVvIxQo5TSaPZ+feXqROzs9TF3l5FwF14/RNMHqTh9TV7iw0qCUN7K+tjhdopjTCcKYWtlCHQluTlTz/OzHltk+sKmXTHRdJUkeHDBRFNkfmun1NyoPP99YpsajJxv3tQuO8dZgGRoXVxqyMCYtxNzc6+MFMTkrIY5iXC9iqHarqlAvmji+VJgDsHSYmShSyVvstW0KOY2CJYM0Ay+kbwcoQuCFEbqusTBdJIxjfv3zZ9hruhi6wsn5Mi/f2GfnYMDd7R45Q8M0VT715ByVosX8ZIFq6bAv/cmL63znlS3iRAY+f/3zp/morrN9MMDQFQxNzeyTWxsdnr20Bcgg7+eObLKLeYOLJxv07IBiTs+clbXyoW1cLhiZ4/HiSoO+E1DK6xi6SrPjjs1XclznOLlQRU2DxG9WcHeMY7zfYOoq+x2b7X2bUsHAD2Wx9OZ+H8tUaZRlYkxn4BOGEZ1ewGgKqCZkEk6jYmC7Me2+RxSBrsuCLEtX6Noelmmgayq26xEEcGKuyF/8uQsk6fgVQnBnq0ccJxjpumToKnlL5+LJBt2BL8kMRveHM2VKeYOlmTICWQjW7Ln8/rO3ieKEatnkpz+ylBWnwoNtzUrR5MJKg0E65oc2zMJUiZypsddyUnWNPIoimKrnCMKYlbnKWFHIKM4u1jjouDI5Ip03hoUrrh9RKRrvK8nwiTSBy/FCGfA2jt11xzjGMcbx4fPTfOjcFK/fbvK151f59qtbtHsez728xXMvb/1Qf3uqnufMYpXzy3WeODPB8kz52C/4EIjjhG++uMb/53dfpec8uIhDCCiYCqqqks9pLE8WubPdQVEUnru0xTOPz/HIiQadvsfcpCQbkMnFULQ0tg5serbPxVN15ifeWkLTG+GN7IAHoVqy+OIzJ9jYG1Avm8xOFN/0O8c4xjHe3+jaPl/+9h08P0LTFH766cWMUOQoGhVp09puSKvrcG1VKmfkTJXHz0wRRTGv32nS6Xms7faYrheoFk0eWanzH/2FD/Hsy5tM1fN8/iNLAFxfa7HbtPnea9us7fSJk4S8pTLbKDJZs/ilT52iXDC5eLLBtbstbDdgv+NSLhhUCgZ3t7t0Bz6v3NinUjTY2BuwnvrnwiTmIxemuL7aIYhi5qfK1MoGm7t9TEvntZv7dLo+vh/Td3x+/pkVlDTZS9MU1nZ63FhrcXujg6anybOWTj6ns9V08LyYOIqZqeUIQsHsZJ6LpxsYqsbmbl/68qoWRVPD9kNOLlRoVPI0KpIU65ETdX7q8TnWdvssz5T49FPz2F5IFCc0yhZhnNDpeSxMFclZKtWiSRDFnJgvYSoaN7falHIGv/65U4SxYGlGxjT8IGZhqkgpb7DXdvC9mFsbLQqpz+arz6/iBxGVgsFv/MJ59ls+URxTLZuSLExRSOIYoSi0ey5RnHBitjS2f9E1hTiWbMGmoYzt2Uxd5cLJOt2+f0/8QVHeWizjGD98fOapeW5tyDFyaqGGqggOOs59n8+QBElTFB472aBRybE0U8psgWrJzPx/j0taOCoFA8vUqJUsSnmddU3B7Mt9+spcGdeX5Gvdgc9u25G+UNNA1xVOL1Z4/NQUu60Br906YOAE7LYcKgWdmYkSPdsnZ2oUchoXViaYquV4+sIMi9NFXrq6x17LJk51BxQVun2XBBkjnayatHuhJOsqmTzz6Dwb+x3ubPdJ4oSDrsfJecn0LVQhOSuFoJBTOD1XY2muxNxEiY3dPooi6NsBfdun0/eYruWZqOY4tVBlZqLA917f5luXNgGYaeQ5t1Tlxrpknz0xW+aZx+fG7vnyTJk7Wx1ypsbKXAXXDzlou9zZ7qaKIgnT1RxT9XyWoNmo5GTxiScL3d7M33A/f8oQuqZw8WSDds9LyYPuH0NcmauQMzUOOi5zE4V7in5+EnFjrZ2p1i1MF5mbkAV4V++2JKlKnLC61SGMElw/5MmzU/zVX36UV28e0Ol5GFrCs6/t0Ol5XDzRYOBFrK91KOUMOoM+k/U8C5MFFqdLLE6U+MVPnuQbP1jD90LiOKbvxdh2IMkdiyZTVYswlHN1oaAz3yiw1Rzw+MkJEgHPvbzBwA7QdJVK3iSME5ZnSjxxdoo4iXn1xgHzEyV2mzaDtH9//YVVEAlnl+v82c+eJmeq2F5ItWjQ7gcYmsqdrS4/87FlnjgzwXdf26bTdzENjTCMOL1YZapeQFUVoigmb+p0+x63NjucP1GjXLB46tzkW4pxPffKBt96aZMkkUWZv/HF86jquD/w9EKVZtclSeBD56Zo9bys/yuK4OJJma8QxQl5S3tLv3+MY4xibrJIztIIgpha2bwvMd/bgaIo/PRHl7m53kJXFRamS/TskKurLQqWxk89PgskbO0PmKoXeOr/z96fR0mWnfXd7+8MMc+Rc2ZlzVVdVd1d3VI3UotBbUloAASCNtgyr5Ex4oItjL1A2MuAX7EwvmKwX+FrhJEHIbRkuGiZKywLCSQk2VhjTxp6qnmuynmIyIw5znD/OBFRmVlZc0ZGZtX3s1avzsiIOGdHVpy999l7P/t5YFCmaajecJVJRdSXCumTXzonx/P0vY/v0me+el4vnJ6R70tH9w9qvlDRxFxFA7mY3vnWw5pZrHb6ebtG0zp+fkG1pqsdgyk9sDPXydR2cDynUrWpM1cKioQs7RxO639/45IKy0Hg2ttet0fRiK25xaoO7srowT0Dev74tBqOqwM7c7JtSw3HkWWaOrKvX8vlpk5cKigRC+l7Hh1TKh7S9EJVg7mYBnJx/a/nL2lmoazXPjQi2zJ1/PyCPF8aDFmKREKq112ZlqH94zkN96f07ZOzGuqP6we/Z/Wi5x95cr/8VoDdax4c0mMHh/XVlybkeb6+++iY/ubbF/W/n7uidDKsn/rBh3T6UkFTCxXlkhEdHM+3svpc2+YahqFDu/Or2vXdI2ldnF5WKh7W+FBK5WqzMy8aj4bUnwk2/8qmIppeqGhiNthEry8TrPdYOW9aqzsqloP+j2UamlusarFU13BfQg/syqtcba677qBSaer//dGntbAU1H1ve2KXfuj1+zfku4lrjQ+l9c43P6BzE0sa7U9o34oAm+0iHgopHLLV9OryZWogSz+vV47syeqVc4XO43e8cU/vCnOHXvPgsL51ckZNV4pFTD24t7/XRbptI/1J/V9vPaTTl4sa6Ytr/zhBHNvS9Qahgl3eb754dr5QVSxiayAb18RsKWiEw7Ym58o6cXGxs/hhcq6iM5eLCtuWwqngxuS541OaL9YUi9hadpu6PL2skb6kKvW6BrIxRUO2rswFHYawbalUbWpyvqz+TEyxsCX5hvaMRjRbqKpas7VQrMn1WmkWJS0Wa6sGcxOxYBf7Jx4a1eefuaBGwlc2FZFhGHr57LyaK1KHzRarevjAgAaycX375KzG+pO6MluS/CB9aLBjaFiJaEilWrADT6L1WSdmyvruR8ZuuKPY2MD1A2MuTC3JbIW4hkO2krGwHMfXkWRwQxYJWXpkRXRyWzx6dbHJcD5xw3+3ZDx8zcRX0/E6qbPOTCzJ83xFQpYWloKUxvnU7Td8fZnYqhvJcNjW4d2rI4l3jaye3ItG7FULbVZi0PTuPHd8ppPqdrnc0AunZ/WdD49d9/WTc1d3sr40taxUPKTCcr3z3fc8yXODDBi5dFS5dFTTCxUlo0u6PLOsVCISZJLol2YXK6o1gij4St3V44eG5Xh+ZxekK7Ml5Vo7WSRjYQ3lEmo67ch86bljU/L9IGuE43h6+dyCBnNxhWxLpmnoLa/drdlCVdGILcetqJ70lE9HJNPUSF9Sg7l4ECFuh3X6crEzcL9UburgzqzGh4Idc4+duxrd7bhe51rZuyNo5D71pTPaPdIamCzWlEvFNNDaeSqVCOuBFTvWTi9UFQmFFMkE16VtB5MCjaar+VYKwUKpoUbT04HxrCRprlBdtbtQPBbsfOW4nkwjSKVumqaWyg31ZWKaXazKdX0tLAVpjIvlhkK2Jfl+ZxFqveFqcammwfzVOskyjVXn6SbLMm9ph8W2SMhaVdb72fUGoNdz+nJB/Zm4+jPB3y4WsRWyTaXjESWiYU3NlzU5Xw5SXRrBIsLTl4tqOK4sy1Sx7Oro/kFJ0t6xTCczw+XZsio1R4loKEj37UvpSEizi1WduFhQte4qnYhovlhVsVQPrjtZmlmsavfI+jt4pOLhzmL86wWSHTu/oEwyqlCtqcXluhzXVy4aUjoZVtPxNNSf1FB/UhNzJTWarvqzMS0UaxrpTypkm8qmoqval1jYWlXflatNFVspxU9eWFCt4SgRC6tYaujZEzNaKje1Yyh4f8MJdvbfMZTS3rFM5xgrF4Ncml5WveHKNA3NFqpKxELKJiM6dbmgxw4NybZXXweWachxvav/xoahI3uC9nF86Oo52naPBr977MiwJufKujS9LNfzdGW2HGTGipm6MB0siE8nw6sCwkZaXYbRwat/jyAVvdHZlbQdgLvSjSY21rbvN2PfZj2w0o36Bbg90YgdZLrqT+jkpYIMw2gtAJBSqajK9bJsO+iDeq6veDQIUkrFQ0rGQopFbb3p8XGdnVhWKhlkkjNkaO+OjE5dXNRiqaG5xYoSkZASsbAmZis6MJ6XZZr67kdHJUknLy7KcT3NLFa1XGnItgyFPLOzsHqtb52YkSSZhqFCqaFq3VV/NrHuDvH/6/lLnZ+vzJZULNWvuZ9Z2V9eab2+cWJFoIeka9qm223fgK1oar6sas1VIhaS63p68Uyw43mi1T47jqdcJqZ0MqqLk0W11hdICn6MxULaMZiUZRoyzKZ8wwjuq/3gGtk1ktXbvnO3Foo1ffzzJxWLRBSLSPWGr0xrZ1xJOnul2Em/3Wh6mi/WNNIf3NPeKAvj2vvDr7802Um3Xliqa2KuvKrtlq7f10zGQtfsACWt3+bt33HzATDTNFbtBtuWSUZ0bUu/NaQTYTJwALghwwgWkDy4t0/vcY7q5MWCjp9f0KnLBc0sVDRbqAZB/k1PrucrbJuKhC1FwkFdHo8GWYiDPlmQsS8eCX62LVO1hqNaw1WxVNf0fEWT82VNL1Q00/rvK60FZplkWEf3D+iRA/165MBAkMnZIKhjreVKQ1/69oQqtetny0wlQrINQ3vGsjownlU+E1Wz6apYdYPNkVxPr5yd05G9/do5nO60vUf29nUWfOy9hXbxTt1JNuZsKroqMBzA9nb6UkH1VlZxx/F08mLhukEc0tVxx+ePT8u2rmafnZwrKZ0Iq1oLFhe5rq/Cck3JWEizixXtHE7rnSt21q7VHS0u1TVbqGphqSbHDTZEaTaDDbIO7uxTpeYqkww2zmg4Xme8YanckIywYpHgcaPp6uSlglwnaB/LtWaw+NoIFtNNL1RaGTl8ZZJRDQ/E9ezLU62s4FZrIj4m275aHw73JbR/R1anLhV0rrXIfWGppsvTJZmSPPkKhSzVGr7GBpN6aG+/+tMxDfXFOxmMpWCsY/fItQF4M4sVjfQnO+Ofc8Xaqp3sLSt479krRcUjoVbmjmBjqpH+hN6kXZ3XhhWMxwytuQ+Lhi3lM1HlMyOSpK+8MCnTMBQN26o3Pb10dlFPvmrHdf+t1x6vbXoh2BAv3Bp3nS9UNbpiLiQathXNr9+2MNaztZimec0ClOv9+xRKwRxCe7w9nQxfE8y53vifFMzDXJhaUiYZ0VyhGsxR9iUVDltyHU+e5+trLwVBy5lWps3v/Y7dQXnycT20b/Wc/cRsSZdnSp3Hvu936ofXPTympXJTqUREs4sVNRxP5yeLskPBRnq+DBXKjmJRW74v1RuehgdiisVsTS/UO33eV87P69DuvF45My9PhhKxIEuI43t69MCQZhcrSsRCmi9UFQlZKpTrskxTpmkoHLJUrjUVCVn65qnZTjkn58paLteVTQX15vnJJb360MCqv3k8anfmMaTgerIsQ6FWvzDU2nBn7fjK7Yw3XG88pS18i3OIw30JDffdeL3E/aJWdzoBHFLwbz3an+xkpZKk+WKwOHcwH1c0bGt6vqzQ4SG96oGgfn/++LQe3juguUJVri/NLlZVb7iqNT3FIiHFI7aSsYgiEVtnrxRVrjr6jsMjmitU9cLpWdm2qVhr89G+dEy7hjOKRmxNL1SUToaVT0X12OFh9WWimi/W1HR8TcyWVCjVWwvOo0rEQ4qELDUafmfcv1huyPV8mYYpx/V1fnJJuVQwb/+aB4P25dlXphSyfdmWIcf1Vao0tWskrR2DyVVtyYN7+1bNHbiup3MTxVXrpnK3eZ/xjROzau1XqemFis5PLl8zF2eaRqe/Iuma7//KOVXgbt3ud/hWhW2zsw7s3ERRni8daLXhX/72pNKJiFI7g+voxMVFPfHQSOe9s8WGnngomEM8e6WguWJVw31JVeuOjp1f0L6xrB7KxDWYi+sbx6e1dyzb6ed949iMBltr48o1R6cvFTprYK7MloIMcK35/v/1/CV5vtGZQ//icxf1hsd2am9rDv7kxcVOu7Fcbsr16hpvza0fO7cgT0bnMx07v6Dv/849q+5L3vDY1Y3lnjs2rXSrz33mSlHTCxX1ta7zZ47N6I2PjWv4dcG5phcqq+YyJ+fLerTVt5akpufpe18T9K2Xyg31pRP62288KEk6fmFRiWiokyFoZrGiPaOZ67a5lmmsateT8fCqdn3tvOiqcq1YOzbfujdY2R6vnM8/N1FUOhnp/K3nilWNXmeTjeeOT2lhKcjC6/vBPQFBHN21YzDVyli1PT13fErlmtO5r92O35lnjk1c87vTkwvaP5Jf59Vb16mLRa3cZ+lPP39G737H9soo8ldfv6hIJKR2bffJL53VL/69x3papjuxcvzmTrEia5trL4S2W1el3blJNxUJ26pUg3SLhiHFY8EO+23ZVFSGoc5gZbiVFtf3jSCIwZBSrQ5Ce3e1aNiWjGAxtOV4slppfuuGoXAoeI3VziiSWL1oK2Sbcj1TrusqHLJkGOqkA8ulwypVr6aPXBmRatum6k23k3omGrFWlSkZD8lYUOcGLBK+u900Q2sinqMRSyqps1jmejt93i3TDBbyeZ6vsG0FaZKNYOeSOIsn7wlr/x1vlIVDCq6ZdnBTkLrUVMgyVVXrOjN0zY4p7WwB7VSf7Z11g8FBr/Uaa1UqJ0mKhM2rEdet9N4rMw+0Jzyk4LmIHdQXapXFMIxOuu52OQzD6Bxz5bEi4at1kWUaSrcGZEKWuWphWsi69lpuX9/t6z8Suvb4bdGw1akDg7+V1Tln+1qzLaNT5k4ZVrAtQ7Ztymx/VsOQZRmr6trgdUHdZpvBZ4hGbFXrVyfpb5bFAdtfLLx6UDxI6x1854L2LhhI92xfpmHItgwZRjAxZZqGQiu/h6uuvavXgW2ZnQWWhhG0s45bU70RBIIYxtVr426/c5EV14ukzk7VtmV2rv3g+WAy0zLN1oL0az/DeizL6Fzv4ZAtw7jaB8gko2o0PS1fHYtQLHrjdrB9vnZb2i532LLWbbfttfXNbfy9Vtaztm12boxsy1DoFvsgt1Lf4d4UslvXlmUqZFvB16CdmlyrvhYK2Ubnmg6+16aiETvoezfUCS4MhyyFQqYsM3hd0O5fbcdXfr9Dtimz1Wa36wzDMBS21/8OxiJ2EHym1g7B6wRgtK2997jbPjlwP2j3yx036CvEwnann2lIrfvtIOOSZa3TnrXavXDr2jYMQ4YMyfSDPq9ltBbthhSyTDVdT4YR1C/hFW3P2nbwTvsRkdDqnaXCIfrAANAtIdvqBHSsx/f9DQmsKFWbOnO5oJMXF/Xy2Xm9fHZexVJDX/rWFX3pW1ckSYO5mI7uH9DRA/06ur+fnUlbQrapZDSk6/0rmJIsGbJsc8UYm6lYMmhP2/9+0XBIVmscQWrd9xI0A2CTRNfc29/qRh9r3xdseNMaX1wx1iFdHStZqT3WGQlZrZ8NGUYwTt8ew1g73lFfMX4RDVtaaj1nGIYiIUv11oCLaZqSgqyE9YYb3EspmCNtOp7CptUZW1Tr9ysDONraY46mZUhusHguHLIkw+jcn7U/WzgUjAGvzQZ4vXuvW71Hu5t7ubWvTURt1VbMISdjdzYvufa43ZpTxdaydjfxtXNtN9O+hi3LlOu5skxDlmHIDJlyHb/T9zF0bf1yTVlucl20522CusBTNGSp1vRkymjVH3ZrnlRBdhE7pGQs+Lk9btsOck3E2v224PftBeidudGwpVrTVcgy5Thupyzt98fCtsqVZqs8hhIrFopblrFu3bPe3+5Gj9F77TatvZZl7RyzJIVte1W2w8g68/+dubnW2LtVDdobszUfb5qGTAVj+O3zRUKWTMOQL0OS15kjT8RsuV7wPbOMq3Nq7e+mZbbmx01DRutaaG/sGFsxRxCyTfm+L88PzhcNBxvc2Wva6JXtarw137dyHYSMa+uR9iZY7XlRu/UZb8fKa8wwrl6zwL1s7UYMawP71rajK/vRiVawV2ftXWj1eoHYmjnCVXOIurqWT5LCYWvV2MXawIbEmuCole81LUOGebVOiEVsFZbr1/0Ma4UsU3UvKFc8YmvFoa67vmrl4+p1nrfXrLFae6yNyq6ynpBtqtEM6syVayHWc22/7Pp/r3xmdWDRzf62wNqNcLfjdya/TvaQ7RbAIQV1ZXtjPUmdzfm2k0R09fcnm7j1jZbvNfRSt6gXz8zpwuSSUvGQXvvQiFzX18WpZTUcV/J92bal4b64BrIxVWuOCqW6BhuOKjVH0wsVWZapkb64puYq8uSpPxtXpep0gjUyyYh2Dac0s1jWM69MK5uM6DseHJJhGHr+2LTOTRR1YGdO+0Yz8lxfxXJd0ZCp/kxEdsjSaH9Cag1mjA8mNTlXUaPpanqhLMs2Vak29cq5eUUjto7sDdJ4fevkjDzfVzoR1lAuprlCVYtLNT1yoF9Pvnqnnn1lSpdmSqrXg8/w0b94WVdmg1SjjxwY0PhgSs28J9PwdG5yWacuFjTSH9ePvXG/omFLX39pSmHb0uNHBlWpNfT1l6ZUqjaVjofVn40pl46uu/N9Ybmmp1+eUr3hKp8OUraevBSkrtwxkNRjhwYUC4c0OV9S0/HkOK6OnVvQ+HBq3Z1Cb8ZxPH395UktLgW7mz5+eFinLy3q+IVF+X6QLvX1rxrVsbML8iTtGklpcr6iputfd2eblRqOp2demlShFKRSXhkljN763tfsUqXuqFCua/9YRkf3X5vRZa5Q1eR8WYtLNUVCpip1V32ZqF41OqDTl4tKJUJaWK6pWm+qLxvVi2fnZFuGzl0p6vxEUXPFmkKWpd0jaRVKdS2VI3pwb79y6YgunVlScbmhkGXqor2sfDqqU5cXVat72jmUVCziaXw4Kcs0lUtFNTKQ0MmLizp2fl4Xp5ZUKjc1NpzUrpG0ssmInnllSrOLQST+xakljQ0m5Xq+RgcSGh1M6JWz81quNJSMhVZFif/4Wx/Qn33xlArLdWUSYX3oky9puC+hesNVOhFWPhPT+GBKe0av3YHq6IEB/elnT6hUa+rgeFb92aAumZgr6flj06204P3KpiL6zodH9NUXJ9VounpgV66zC6Blmdq3I6PL06UgwnlI8rxg15C1u2u0F0W4rqcLU8tKJ8J6YFe+s3PUYC7Y7cpQMGA21BfTjsGUMsmIfL+oat1RvpUlBYFiqa6nX55Us+npoX3912QD2q4O7Mzo//mTZzVfrCsWsRS2DMVjYaUTITmedDQX11BfXL4v9WfLqjZcPXLA1lK5Ids0dXhPXpFwsDtdJhnptGOVVhR70/P0XQ+P6JXzC2q6nl734KjGh1LKp6M6P7mkSDjoF/h+MJBSWKprqdTotFVXZkv69qlZmYah7zgydN1FNfPFqqbmKxrMx9R0PNWbIe3fkVU2HVU0bGnXcEoh29J8oaYrc2Xt25GRaRiqNx2lEyFNL1TUn4nddMe0aNjW3tGMJuZKesvrduqrL0yqXGtqz3A62KE7F1ez6anhejq0K6e+TEy1hqMLk0ty3KCeWblbSX8mos89fV6XpkvyfF9zhbIsy9ZTTwYpUIuleqdPsWs4HaQbH8locr4k2zI7u3ycOL+oU5eDXTNe+9CI4lFbU/Pl1s5DrqbnK3JcT32ZqGLRkN78HTt1/MKCfF968tU7FAtb+vapGX326xdkGtLjh4fVn40pm4pox2BKjYajr700qeVKU4YpOY6vWNjWoV3tnUPmdeZycdX5b4XneXrmlWnNLlZk24Zc15dtWXr88OANd0fE5ksnQvr45y9rZqGiZCwky5SWlxsqLjdkSGo6vixTGh2MqeH6CodMNZu+SpW65peq+m9/eUyH9/Zpcras6XlDD+zKaaFYUzIWVrMZfDd9X4pHw9o1nFQuHdGOFf3fHYMpNR1P+8ezyiTDcn1fo31J7W9lpJKCvsj0QkXhkKnXPTyij//1STVdT69/dEz569QdTcfVjoGEnn1lWg3X0yP7+zuTK7erXQ+FbFO7R9KdidW12tf1qUsFua6nwXxcTzw4sqUXB7ier4tTS6rUHOVSkVU7UeL+ND6UUqna0DdPzMowpB2DCTVdV7OFilzfUDoSTLpOzJZaixkkr7WmxralSq2hExcWZPjBY8u2gsWgoWCytFZv6i+/ek5Nx5NlS8tVRzsGU/qh796jheWqPvf0BTUanvaOpTUxF2QN2zGY0gO7c7o0vaxiqa5UIqydQ6lbWgj8+JEhPf2Sp3K1qT1j6evu7gQA6L6NyoyRjIX0yIEBPXJgQD/2piCT8MmLi/r2qVl9+9SsTlxY1MxiVZ9/9qI+/+xFSdLYQEJH9w/o0O68DoxnNTqQvOHk8r3q/OSS5pdqaqzIPr2SL2m52lDWiigeszU5X9JssaLdIxkN9cU1PVdSPpPQGx8bV182KqfVv945lLrtxUsA7m2VWlMXp5bl+b52DKY2NLvboV05FZbrOnmpoJBlBFkEPf+m9fprjgzrKy9MqFxztG8so3QipK+/NKXJubJSibDGBhLKJCPKpaPXzHt5XrD7d7O1A/+OwaRMw5fjSyHD1GyhovRcWH2ZqKIRS8+8PKXTlwoqVZrqz0X12KEhjQ2kdHFqWWevFJWI2npwX5+m5iqq1ptyXE+lalOF5bqqdUeRkC1fvppusLh1plDVdx4d0TeOz8jzPe3bkdO//vDXNLdY0/BAXD/9gw9rMB9XKh7W+FBKhhHsbmuYUqnaUL3hKBKyFI3Y2rcjLcu01HA8jfYntFxu6NxEUXPFqnKpa+cj2oZycZ27UtTFqSUVyw09d2xKiVhYB8azes2R4c7Yx2h/MK9SrjWVTUVW7STeNrNY0exikA1g10i6sxAtHg3J9X29cGpWiWhIb3vdbv2fb17RwnJNe0YzeuzQ8J18ZTTSn1St4apcbQZzLuuUCfeGs1eKwVqAsK0nHhrWjsGkZgtVRcOWdg7f3u7CYwNJff2lSTWajmYWK1pYqioeDSkRDcnzfdmmdGm2rGK5rh970/7O+GGp2lAkZOn549OaXqjKcV09sDOvqfmyTDPIVrp7NKMrMyW9+tCgLk0HWYHmQpaiUVMvnV1Uoxks8hzIxrVvR0Z7RjM6cbGgZtNRJhlRcbmmxw8PqVp39KVvXZEh6fFDg1pcriqfjml8KKnlSlP5VEQ/+46jOje1pEq9qVrdUV8mqkqtqUwiomq9rMXlmqoNRy+fnVel5ugHvmu3Pv2V86o3XT12cFC7RtN69pUpeZ706MEB1eqOTl9aVrnalGUGdfCukfSqRaN9mZjOTRR1ZaYk1wuyAMlf0vht9hlXtiXjQ6k7yjywcp5iqC+hxw8NtoJl7m8h29S+HVldnlmWZZqd+e9YxFYmGdbxC4uKhi098fCwJuYqSkSDa2ql/TuyrWCM4J5sZqGsYqku1w3mE0KWIdcNMk45bhAI9eLpOTVcTwO5mBaWaqrXg80NG46rF07Na2G5qkbTla9gMXUuGdHR/f0aHUxovlDRi6dnW1mCo2o6tppNV7OFqsKWKcPwZVmWnnx0TMcuLmpqPtjJ/tGDg8qlgqw6xVJduXREf+vVO3RucknlmqOhXEyf/foFVeuOHtybVyYZlet5GhtIKhyy9NyxoK+QT0c12p+U63parjY1mItpz+j6uXUXlmqanCsrZJvaNZJeFTC58hp79GC/hvvufKzSdT2dn1xSrRGs3SDTDLaq4b6EHt7frzOtfvDjDwzojz93QpdnShrpS+rwrtVZtnYMJvX0y1NyXU9H9w+o4bj6m29cUSQUrF9YKNa0WHJkWaa+73W79PL5BS0UaxrpS+i7Hh3Tn37uhMq1pr7j0JCO7OnTc8emJUmvfmBQy5WGjl9YVCxs6+3ftVue7+v81JL603H9vTft17fPLmip3ND4YFK7hrP6y6+dU8Nx9Zojw4qELX352xOyDEPf+9qdsi1Dr5xbUDIW1qtusgZudCChZ49Ny3U9PXJgQC+fntVXX56SZZn66Xc8qKVyXWeuFJVNRfTQ3tULt8f6k7owOaFaw9WhXblVGYLi0ZDk+/rmqVnFIyF93+t26pljM7owtaTBXFwP7e3T2Ssr1whFVq1tsExTl2eWZZqGdg6l9M0TM3rl3IJSibB+4Lt2a3GprqVyQ+lEWH2ZmJ55eUrlWlN7xzIaG0zpmZcn5XvS0YP9Wqo0NDFblm0Z1/QNRgeSqjeD/ng2GVH/OgvW2x7aN6AH9+T1jZMzioZD+rE3HVz1fHudVLXVr1lb9623BuN6mo6nC5NLqjddDeRuvp7kXnV5ZlmF5bqS8fC2HOM7emBQe8cyeuHUrKJhWz/6xgO9LtJt2z+SV9SWaq351u2aUPjR/Tk9/cq8JMk2pO//rn09LtHte+cb9utX/8vT8iSFbOmnfuihXhfpjkzMlrS4XFc8amvncPqO5kIM3/fvbHXNfejFF1+UJD388MNdPc+V2ZL+13OXOo93j6aViIbUdDxdnllWreFq71hGpmno6L5+RSO2ytWmXj47L8/zg/S5MVuj/ckg5XnU1kLxaorGB/f2rUrBtdKH/+dLmitUVa421Wi6OrInr8n5itKJsJbKDe0dS2vXcEYDN7hReu7YlL7w7NXyH9mX18nzi3JcX4VSXWHb1PhQSgtLdQ33xWUaht782l0aysdVLNX1qS+flet6+tI3r8gwDOXSUUXCln7jZ79TkvSVb1/Rl799NbXR44eHlElGOgvFggWXFU3Nl7VUbqhUbejVDwwqnYho/3i2k3a+7VNfOqNiqaHF5ZpqdVcj/XFdmS1rIBtVOGTrscODOry7T77v65sng5tVKYhefdUDA7c9KfrcsSkdP7/YeXx4T17Hzi90tu8Y7ot30rGdmyhqdrG66rU3GzT5+kuTOn2p0Hn83Y+OavfI+v9WuH3PP/+8wuFwV+qBat3Ri2fmtFCsaa5QVSIW0thAUntGM/J8Xxcml3R5ZlnLlaZqjVZQlmVpaqGshWJVl2ZK8iWF7WBH7oPjOSVjoVZmHV/FUqOVCi8IWIiELJWrTUXDlmLRUDAB8OBwZ3H3K+fmNTlb0l8/c1G+pGwyosF8XP/X2w7pz//3aS2XG1pcrgeDoCNp5TNR9WdienBvn755ckbnJ5Y6n+0Nj4+vCqK6NL2kP/nsCS0u1VQsN9R0XOXTMY0NJDWYj+kdr9+/7uLlzz9zUVPzre35DelVBwd0+lJBZ64U1XQ85VIRHd6d1xMPj6y7g9dGm5gr6fL01bTMu0fT9+3Nxq36iy+f7eyUYBjSj/ytfYpHt1ca2vXqgX/3357R114MBiUcz1M2GdGbX7NLtm3qR99w4JpFxU3H1bdOXk3jm4iFVu2g+sXnLmpi9up3/W1P7NLsYq2TWtkwgqCmtbu3SdI3Tsysaqse3JPTJ/7mjFy31U7GQnrqb12b0rBdB7Xbo2wqooM7c9e8bqVvn5pVveGqWKprZrGqvWNpWWbQzt9upHel1tRLZ+c758+lI520qJL08tl5lVfs8v/owYHOdd7uG3i+r1MXC8qnwhrIJxQNW/q5H3tU3zo52+knxKK2Ht7Xf8355woV/dXXLnQejw0k9epDgzpxIWizn3llKvi7JCOyLGPdeqpWc/QbH3m6FQDjypD04289JEnatyOjExcWdfZKUY7raXqxoof29GkgF1c6GVZfOqrPfn3F+QeTq1K/3siLp2f17VNzcjxfx8/PaygX10AurnjE1lPb8MZ5u7iTPsF//Z8v6uSFgiRpcbmmcq2pWq2p1lyhLFPKJoOgqWQ8LMfz1Kg7mpyvSK0ENjIM7duRkeN4Mg3p4K4+5dMR7RpOa8dQ8q4WTa+tB146O9fZ4fJGdfapS4uaL9R09kpRnu9r13BK6WREjxy4NmD1Rmp1Ry+sOH8mGQRPruW4nr51claXZ5Z14sKiQrapwVxch3bn9PjhO1tksBkuTS+vSnl8YDxLoOc2txH3BnOFqs5eKapUaejSdEnFUk2VuqOFpVoQmLlcV6kaLDRyXU+hkKWQaahYbsj1ru4CaRrBriu5RFhDfQlV6o760lEtlRudSYPR/qT2jWf0ltfu1n/5Hy9qYammRtPVUrmhbDIi2zaVjIc1kI2uuofcOZxiYhK4jm6OEQDbQa3u6JVzC3rh9KxeOD2nM5cLWhvLG4tY2juWDSadB5IaG0hodCCp/kxswyYqfd9XreFqudzQUqWh5XJDy5WGlsqNFb9rqlRtyFcrq50R/D8athWP2p1x9FjEVjxiKx4LKRkNKR6zlYgFiwgTsdC6OyuurQtK1YZ+94+f0wtn5lRrXH/6xTalZDwcbHqUT8i2TRVLdT2wM6cje/qUTUd0aJ3+MICtp5d9gvb4nBTsyvqqBwY3NHiusFzXyYtX57SG+uLaNXx7G/OsGuuU9LbX7bruxiMTsyVdninJ94P5zv5sTIlYSM+8MqVULKy5YlWR1qLxS9PLml6oaK5QVaXmaO9YWgd35jWQjWlyrqyZxYqkoK6NRSxVqo5eOT+v+UJV5bqjesNRNhlRNBJSNGxp/46sPN/XYC6mRCyssxMFvXR6TldmyzKNIBvqkd05/dJPfMeqMp+bKOor357QldmSFoo15bNRjfYllIyFNTYYjNMUSnUZkk5fKmip0tBANqbRgaQePzx0TfDF1HxZ5yeW9NzxaU3Nl1WpOopELB0Yz+pVBwf1qgdubfO29txxWz4T1f4dWUnS4lJNn/7quRVzkwl972t23tJxsb776d6gPZ/f/v4M5GJ66xO77/h4x88HizifeXlSlbqjxeW6PM9XLhWRIWmhdf3kUkHw1useHlW97ujC1LIWlqo6dn5Rvuer1nQVi9hKxcOyLUOO62sgG9NIf0IjA3GlYlc3nPv450+0Nm/y5MvX279zjw7szOnogQGFbVPfPDErx72aJcCQVG+4Oj+1JNOQPC9Yk7BjMNhsa/94VrOLVZ2bKGpxqabZQlWWGeyOW6o0VCw3VKk1Va272jUcbAb3va/Zed3xFtf19M2Ts2o0XZ2dKCpsm9o9krlmLmlxqaZTlwoqluqaXqgol45qIBu77XHib52c6ezwbVmGXnVw8Lb76u15irZXHxrUkT3rZw68l91qXXCrY+FrfeKLpzRbrKqwVNNSpaGRgaRsw1AmFVEmEZYv6ZWzC5otVNRoevLkK2yZCoUslSoNlapNeZ6vci34vyXJN4xWkGVSA9mYjl9YULnqyPODHB6PHR5S2LZUrTsabC28HcjHO+1t287hlC5NL3fmPlPxsA7vufqZPvrplzU1H7TNhiG96/sPdwIrTl5c1DMvB/Nw5WpT6WRY+8ayneOud63Um65eOHV1rjWdCOvQ7u7cP52fXNLMQqXz+IFduVWbWAIrbaU+wdr1dU88NKwnX311/vmF07Oq1YN7ifY132gttq/Wm1pYqisattWXibaCkK/24a/Mljpz9zKCTatirWACz/NbGTCCtmRtHXdhaknT81evqUvTS6q2yuH7kue5sloZJGzL1N6xq/MVK/u061l5fzRbKOv/98XTnbGqWNjSdz0y1nntvrGMXnd0tPP4xIUFFUuNzmd6eF9/JzChsFzTX3zlav95bRbcvkz0uhtp+r7fGY+Sgjnib52c7Tzfn43q4X1X51Qn5koqtTIJSUGwTTugxPN8GabRyfy6tm9wO669J7i6XlGSLkwuafo6dV+7r9JegxGNWOtuZNx2+nLhlteu3gvWqwfmi1WduVzsPB4bTK67GflWNjlX0sf+8lin7R0bSOrvf9/h3hbqNhUKBf3Eb/zNqt996v95R49Kc+d+8L2fXPX4x96wT+96+/YKgvh//ZvPaaZwdV30ax4a0q/+5BM9LNHtW1iqrVqnPdKf0PjQ1U0NbjXegEwcW1Cnk9N53OgsnnLcYOcZ3/cl31DD8RSNqLNLhOt58ny/k3qw3nRlrUnp1Wi6120IS63FoZ4XpD1cbnUK2sdvd5rq7ZVm6yiW6qseF4pVOa2Fo77nq95wg6h+35fn+jJto/OZK7Wm5EuO48rxgp0DpGBQpFZzFI0Gu5avOv5ybVVgQ6PpqVwLjud4nnz/annbHbWVqrXW38715fm+ytUg1M5xfYVD6nSMPF+dRbHB88G/xdq/781Uas6qxwvF2tWVN5LKK55f+3du3ODvfvX4a78/znVeia2m0XQlX53rt9kaHGw4bqfj22x975pOsCuUa3qqNVw1XE+eJxlmcANwtU7w5fit4zmeJL+zg1WjEVxnnoLvc9PxOgN07fJUG07nhsbzfVVqwe4xrut30nLVGq1rplXuRtNd53u4+nFxObiO2wOg7fc2m65c11e94awbxFFeeVxfWio35awoi+v5ajjBZ9mMII6Vf6/g8c2v0ftdZUVKdt8P6sTtFsSxnpnF4IbT8/3gOm61N47jyfE82VobxOFpZRjt2vp+VVvhB3X5yu+X36or1gZxeJ5/TVtVa7idAA5Jqq65PtvaddD1ynTd9yiom3zfl+cFi9Dv5FpoNL3V51/TZtfX+fzt67zdN/DcVj/IbddPriqtAenrHbettKaeqtSaq67xesPtLNZxXV/VevOaeqpSczp1uO/5anqeXDcYZKqvqBtdL/is7bI0mu4156/Wb739bvcdfM+V511tRyoN+gBbzfKKfmyzGbTv3oqmxJfUdF2ZjiHP9+W6QUCQJ19mazjO8zz5rfd5hlRvNOW4Qd/+et/vW7W2HijXHIWTwXV2ozq70fRa9w9X+yt3Ug/U15x/bTvb5rT6Mu3P267j1vazt5q19eqt1LO4961sS13fU70Z9Osdx5fsVv/fl3xP8hQsEnC0uu6QgmtUnjp9Yaf9f9eX6wf9ZcfzOve/7X51u+/QbDqy7bDc1q60K/FdBQBcTzRi69WHBvXqQ8Fi0lK1qZfPzOnFM/M6dWlRZ64UVa27evns/KpFpFIwCZ9NRZRLRZRLRZVOhBUJW4qELIVDlsIhs9VfDtox1/NVqzsq1ZqqVB2Va02VKu1gjebVRXZdZFuGfv7vvEpvfPzGAfelSkPVhif3Jk2op2Asq95wg/sAM2jT6w2383sAuJmV99+eF4wlWObGjY2vvb+/k/v9tffrpWpT/dn1X9u+//Da9zGtgPZGw5UTbt0/teZM2gtRO+MRrXuhSq3ZmV+RgoWytmWo6XpqNr1gLNMN7qtcT2o4TifwxfcVBE2EbXluECQo+fJkyJffmTdd+3mkYLzCVzDm03Q91ZpXP3el1lQkZMlp3cy5rXme9e636s2gHXBan8f1W+2h66+eI7mJG/3blarNNWNAt35coD2f31a+yzG5zjx+02uN/bsyjSCThlrz85Zpym/P4/vqzAEsl6+uCQiO4SilsOoNR5ZldeqC5XJzVRBHpTP2EczpLBRrwbmbrmzTWNW3rNcdhdrXrx+UM2SbnWO3y99wro7xSFKt6ShkWZ15sfbz7f+Xqg1J6wdxOO1+cGsHj5VrP9b727XL23SuvybienzfX5U9LpgD9mTeZluy9nuwdm4YqzUc75bGwteqNIJ5+iArhy+n6Uq2Jdf11Wh6wRoW35fjBf+OnufLNQx5TSeYU3A9Nb1grNH3Jc8I1h35vtRouKrUm2o0gjk/3w/WDFWqTZlxo3Psphu0T2u/Z+Vqc9Xc59p2aOV3xPdb63D6rr63zfU81etX33u9sclm010919rF+6dr29Tu338CG6GwZn3d2vV2K7/LTceTYVxdu9NeH+i22tilcmNVEEep0ugEMXier1K50QniqDUcRcJWp499s7Vvy+VmZ1PMpuOo6XpKtII41s5X3Ox+ZOXzC8WaXO9qsEVlzfz72rZr1bXtB8dqB3GUKqv7P8vlhtIrgrmWK41VQRzlarOzNtNxfXmep0jr77O4vHpd5XLl2vullZYqjU4QR9NxZZpmJ8Pe3axRKl9zT7C6HDea12z3VdpuVi+ud29yLwdxrGdtO7Ud15ctLtdXtb1rv6vbwYlLS9f87vx0QbuHsptfmA108tLizV+0xZTX1MkrA2a3i7XX8Z3OqRPEsQXtGEzppdNzQefBkA7uDKJRZxeryiQjqtYdWaapRCykZKtBSyfCnY5DIh5SqvX7oXxcsYitUrUo+UHk441SKT+0r0/PHZtRJGwpFrW1f0dWxy4sBFH7fkOjfQnJ0A13mn9434BePDWvuuPKNKTDe/rVdOeCdL1hW/3ZqEb7E7owXZJlGUrGQxodCAYoBrJx5VIRLS5L2WQ4WLgi6eB4VtHWQslHDw7o2PkFNR1PtmXosUNDqjVdLbWiYQfzMcWilp4/NqNExJYhKZuKyrZN5TPX7nS7d0dax88vKhELKRq1tHs4pWPnHUUjtmzb7ETwWqah/mxMc60IsP5sTNY6O6/dzIHxrK7MluS6vsK2pVc9MKivvTjRieY9MJ7tvHYwFw860b4UCVu3FM1/YDynybmy/NZ7dt1mylr0TjIeVixqK9PKfJNNBLu996Wj8nxfM4sVZZMROU1P8UxUri/58oNdr6akpeW66o6ncMjSSF9chhHsApOMh2UqmBwvV5sazMcVDpnqy0S1sFRXvR4sTE4nw8qlr37HBvNxlauO0omwqvUgVe+RPXmlE2EN5mOdtOO7hoOU4elEuFPHHBjPaWaxKvlSPBLsRLPSvrF057jVuquhfFymaSjbSiGeSa5fTx3cmdXzx2YkSalEWA/syqlabyq5GFKp2lQ6HtZwq97bDO06oR3Qdb3Ielx1YEe2s3CjPxu7JjvSdvUD37lbH/zvLwQPDGl8JIiYHxtMrkpf2RaL2J0sV1LQXq90YEdOzx4LdpxJJcIa6YsrHLJ0aXpZkpSMhxRf53tumoYGcrFOFqe+TFSZVJDasp3FZt91dqZo10HV1s350C1klRnKxzU1X1E6HpbjBBMXpmmoL3v9ayHYbcpRKh5WeEUQSiqx+vyDa/4mw/m4Ls8EmW9S8fCq6/zh/f1BVitJqXioU4cc2JFVKhFWJhnutLNr/9Zto30JpeLhINuJIe3fkVM2FVE4ZKrR9DTcH1elFRg5kIspl7q2Tc5no9o1nNaFqSWFbFPD2bgsy5JtmZ3duKYXKgrZQZaF/lzwdxrMxZVPRZSMh4IBICPo+9yq/TsyOjdRlGQrl4oo28r5uO86WdPQO99xZEif+tI5+b401h/X7FJdvuerUg/6zaaC3Wj60jE1XU+RkKlYxFSp5shxggmJgVxMtmXIDpmKhmzl0lFlk5Hg+r/BtXcr1tYDD+3N68pMUHf0Za5fZw/m4ipXm0rGQmo4nmIR+5pr+FbPH4/ancUd1ztG0C8OazAf1+XZkmJhW4Zx/fptqxjIxrS4FEwI27ZJFg5IkvLpqKbmK0rGgrZtuD+hmYWy8umoXM+XaZqaL1TUsCTTMRSLWIqEgvZ2qdxQa/2ALNNQKBT0pxPxkLKpIPOe7/sKh0zFIiElorb2t9qXI3v69M0TMwqFLA3lY4rHQqo2XCWith7a1x8EjLu+TNNQ/w36uK7rqVCqK2TfeKwBAHB/SMZCeu1DI3rtQyOSggWql2eWdepiQRemljQxW9aV2ZKm5styXE9zhWpnrHUjhGxTqVZmi1Q8rFQi1HmcToSDjLWmEbSfrcXBtYajas1Rpe6oWg9+LteaqrT/X22q3No12Wu9/mYGsjEdGE/rykxRC8vrv96QZJumImFL+8czioRt1RuuUvGQhvIxhWzzuvevt4O2Grj3DebjnV1sg7Gsjd3cKJuKKDRrdhZ13Ukm6lVjnfFwMNd4HQPZmOaLNUmmMqmIUvGwQrap3SNpVRuu7Kqj/mxMtm3q6P5+fevkrJYrTfmer1wyqnQyrL1jGTmup2Jr9/6R/mBsNWw3lc9G5XqeCqrLMKRkzFIuHVfIDhZ2JWO2Du7MabnWVDwW0t7RtJbKDfl+kAX98cND15R5z0hax88vKJ0Mq1JvKp8Oxg6H8sHnrDYcDeXiajieUvGQmo6naMRSPh1V3zpjA/2ZYHy3PxtTudqU59eViAaZom606/Ba7TmbWt2VjNXjokN9CaUS4c6GIwduYywSGMjGlU1FOlnXD+y4u3HooXxcF6eWNdwX18xiVf3pqOqOp0wyrFg0pEjE0nJroehDu/NKxELyPF/hkKVDe7OaK1YVChkqVRztHEyo6UrD+ZhmizXlU0Hm0UcPDGi2UJXvB33Gxw8P6UvfnpBpGgpZlh7c369ELKR4NOgv5jNRXZwMFnjtGkmp6fgqlIJxyVwqonLNCeYhVtSLfemopubLyiSCeYb+bEKLy3XtHsno7JWCBrNxzRZryiQjisdC18ydrhQJWcqmIlpc8hWL2IqGg7p9eE3/MJ+OanKurFQ8rEKprswdjBMbhqGhXLyz03Y+Hb2jjfL2jQXzFK7ry7ZX75qOayVjQaa/dvDCrY6n7xvN6PiFxWDOPxdTNhWV7wd1fi4dlSFfc8VqEABfbSgcshUJWTIMadlsyjCCxWbBRlGefD/YMC1im8qkwjo4nlOj4encRFGmDCVitobyMVmWpUTUVsgK7isGcjH1ZWJaXL463j06kFS96XY2SV37mR7c26evvzgpKfie7Ry6mtlrz2hapy4W1HBcJeNhjfYHbeiNvs++3wpgap1/qO/u75+uZyAXU6FUl3wpHDKVTXFvhe3hkf39OrFifd2jB1dnShjKxzsZdQZzMTmuryszy/J8X7uGkjo7uax4NJiDe+TggCo1R57ny7ZMPbyvXy+11n1kkhEd3JnrBCeMDSaDDZjbddyae4iBbFyF1mLwkG3qwX15nbhQkCSN9KdkmQrWG0k6vDt/3T7tetrrFyTpVQf79Y0Ts51yHd3Xr1jEUrXuyjCu7QMP5uO60Gr/22utOs/1JVatOXjsyJAuTCyr4QSbaz+yf0BLldZ9Q8jUUF9a0/PBZ8inozJNdd77yIF+zRWrKleCevk7Dg+0xquCOZlH9/frW6eDbE3JeEiHd+W0uNzolNHzgqCR9ue9U2s/09q/x0AupmKp3vlMK9dHtPsq7f7gYO7GfY/BXPyW167eq9rzgY7rBXNvdzmv3wt7xrLKJCOdDd4f3rf9sq699uGdssxvqh2zbVvalgEcqZit5RUbu//Uj2yvLByS9MSDw/rCc5ckBfckT/2t/T0u0e3LpaOamCvLaY2Z3el6HcP3V8ZH4UZuNb3JRqg1nNZNfqSzuCcYJAw6Q03HUyoRXpUS2XU9LVUaCtumnNZii3aGikqtqXrTVToevmngwbmJosqVpsaHUvIUpEtr3/RLQUPcjvC8nmKpqrNXlrRUqSsWDst1g0muob6EhvoSrUwCwa7To30JhVcscHUcT1dmS4pH7c7gyGNHhlcdf6FY1eXZkkYHkurPxOR5vpbKDdmW0elEzRUqKlcd9WWiarqekrHQdQccpubLqjdc5VJRua2sBcVSXf2Z2KpOWfv3ku4qPWKxVNfick2DuZji0bAajqfJ2ZISMfuaFNLtf7sg9eutBY0UlmsqlOoazCXWzWaAO9ft1Ieu57cGzYMdNBLRUGfSpdF0g92Q/GBQwjckU75kGKrUmpovVDSzWFEuFdXeHTlVa001HK+TXnRqvqzWZhqKR0KyLUPzSzWdOL+ocCiYEHlk/4CiKxZGl6pNVatNTc6XlUqEtae1INjzPF2ZLcuXH9QzviRDq+qYxaWaiuW6hvsS6y5ir1YbOnWlKNsyFI+G5LcWqY0NJDtR9utpX9sjA0mFbVO1hqOFpZrqjaCOy6Wjt53i9260d9df+W+FG2vXuTf7t96qrlcPvHxmVn/zzct69MCAdo1m5Xu+dgxdfxB+vbZrpblC5Zp2slRtynE8pRPhG37P17ZV7WvWtgyN3CCFdrsOCofMm7b1bcuVhjzPVzQc7CgVj4auyRDStrhU06nLhWBA1TJ1ZG9+Vf3Q7stcr69RqjTkuP66n39l32BuoSLDMvXAzpykYHHOUrmxqm+0nkbD0cR8WclYqNMeO66n5UpD0bCtYql+0++u4zj6xsm54PPtyatad1b1Qdp140AurmZrx672LhPt86fi4dsOCluqNLRQrCqfiqhYbso0jW2XfnO7udM+wbmJgibnyjqyt0+1hqOnX5xUtdbQwnJD0YitZCyiXcNJDfclVSzX1Z+JqN7w9TfPX1R/LqbvenSHZhcrqjdcDfUnZBuGDNO44bV3O9bWA7daZ1dqzWBBmy+FQtYNr7VbOf/Ka2M97eu63miqUg/68dshfXmt7qjacJSMhTu75GD72qh7g/a9ccgyVW+6qtUd+QraINMIMnLNFiqKhoONBhLRkAzf14nz85pbrisdD0mmqX07ssHCJNNUfy6qwnJDnu/JbmWEyiZXpzs/c7mgas3RntG0Kg1HhaW60smIhvLxzr3HjeoW1/P1ytn5Tvao8aGURvqvvxgLuBd1e4wAuFe5rqf5YjB+ubgU/H+p3FC96arecFVvumo2PVmWIdMwZJmGTNNQNGIrEQ11NjeKR22lWgEa6XiQyaO9u+KGl7k1nr3eGNd6dYHrunrx9LxeODOti1MlNRqOfF8a7ItrMJ9QImrL83yND6V0eHe/lisNzRaq6s8EARzhkHXXOxK6nq9Xzs13grR3DCY1yn0i0BW97hO0x+fSiXBX6sGm46lUDXbWjd7hBkrrjXVeT60RBNYloiFV644Mw1AyFtKV2ZLke0rEw4pFQopFbM0Xq5ovVBWL2YqGbGWSQSBLreEEm78ZwRipaQRjq57va6lUV6nclG1Lkql8JqawbapYDubVYhErCJr3g2y7U3PLOju1pL0jWR3Zu/4ilUrN0cxiOcjHbJjKpyOKR0M6N1HUlZmSohFbvh/U+76Cud5cKnrdOYV601W52lC56qhSayhkWerLxm577ONG4603mpvE7et1PbDZ2t+feNReNdZwp9pzH5V6U82mJzO4mJSKB32mqYWqwrap/eO5zvihaUiuH2TNPj+xpHw6qmjE7mzMFLIsNV23M9+/dlzumZcnNDlX1qsP9iuVjK+adzh1aVFXWptK7RhMae9YRkvlhgwjmKNtn3vttdUeT2kvxLRNU44XZC0o14Kxn6brXXfudKX2+Gfws647l9Suoy3DkOv7dzxO3F6LcjdtSXueYr01FveL26kLbnUsfK0rsyXVG46yyYhcL1grYFuGEtGQPN9XudpQsdRU03EVCpmKhUNquq4aDTfIrFFrqN50VK04MiwpHgvLlBGsvcnGVao29MKpGTUdX0f352UYwffJsoJNX8Khq5uPttvs9jxYZ+7TNjsb0q50YbKo5XJT+3bmFAuv/p5Wag3NLFaVS0UVi9g3HJtcWKrp9OVCsO6o6enBfX1d3ziwWndUazi3tW4H96et1idYu75urfa9RDIW0ivnFzTXCp4Yysc13B9sPNxeu7j2ml+7dmflGoWb1XFr2+XphYpqdUdjA0mZplatbbjZGoLrfaZ0Iqxyuan/9fxFpVMRPfnq8U6/feV6zJXK1ea6azKla/s/K+utTDJyzWdaubbBMLRqvUJ7vVQ+HdWOwVSnD9FedzRfrGq50ujcP638TL6vG9a1t+Nmfbob1X23ugaj7XbWrm5316sH2vOBQZDu9lzPWW24OnNxUZlUWOMrAjK3m1/+4P+RbZv6jX/03b0uyh2ZmC3pA3/ynBaX6/r7b92r1z+2/5o6azv4zFfO6MXTc/q+79yjowcGe12cO9K5rtcZM7vVeAOCOG7DZgZx3AsWl2s6dbHQeZyIhfTgdQY3ge1iq91w3a2zV4qrdjxk4RVwc/daPbCZTl1a1OLS1fSgu0bSG7KzKNALG10XPPvK1Kr0o48eHCA4ENji7vc+QbFU14kLV9PzxiK2Ht7f38MSAZvvfq8HAAS2al2wXGno2LmFzuNI2NIjBwZu8A4Ad2qr1gPovWPnFjq75ErSvh0ZMnrfo6gH7h2u6+n54zOrfvfY4aFtuSgKm4+6YHOcvLjY2f1dknaPpu8oWxjQDdu1HqjUmnrpzHznsW2bevUD23NBLdBr27UewPbx7VOzqjfczuPDe/J3vMkmuudW4w3u7bA29FQkZAV54duPwyxCA7aa6Jrrcu1jANhIa3cToM4Brlp5fViWcc/vQAJg+wt2O1/9GAAAbB3h0Oq2OnaHu+cDAO5cNLJ2Doa6GNjqTNNYlUE3HDIJ4AC2mLXjkLSvwN0L2VYnI5XEPD4AbGUr62jDEJuDbnP0ZNE18WhIqVhIJy8VFI/YOrI337VznTi/qBfOzCpsW3ri4RF29ca2MzlX0tMvT8l1PT1yYED7x3Obct7+bEynLi2qUGpotD+hbOr2UnEDuP94nqevvjipibmyMomwvufRHYpHb9ylnC9WdWl6WTKkVDwkwzCUS0c76ZYBSEN9cT37ypQ8z9cjBwdkmYamFyr6+ouTajiuju4b0AO7N6d/AGB7qNQa+ptvTGi52tDOoZSeeGhkU88fDdtKJ8I6cWFR0bClw7u7d88PAMD97NL0sp49Ni15vl51aFB7RjO39L5SpaF601Vhua7xoZT2jKa7XFIAwFo7h1KaL9Z0Zbakvkx0VXBdtzmOp6+8cEXTi1XlU1G9/tFRhVnkCtzQUrmhcxNF1ZuOLMtUJhHRjsHkXR2zUnP0f755WUuVhsYHknrd0dENKi1w72s0HP2fb01oYbmmoVxM33V0TLZtasdgSvKlyzPLajieLkwtad9YRvFoqNdFBratkG0qn47opTPzCocs7R/Pbtq55woVfeWFSTWarh7c26cje/o27dwAsB2FQ5b+1/OXVG84evzB4WCzfWxbbO+KrilVGlquNDXSl1AmGdGVmVLXzvPs8SnVG66WKw197cWJrpwH6KavvjChUqWpat3V0y9PqdZwNuW8U/NlxSIhjfQl5PvSXKG2KecFsH2dvVLU+YklNRquZher+tbJmRu+3nE9nb1SVKPpqdHwVG+6OrQ7T8AlsMaVmZIGsnEN5ROanq/IcT197cUJLVcaqjdcPXt8SqVKo9fFBLCFPHdsRvPFqhoNV6cvFXRuorip56/UmiqWGhruSyibiupyl+75AQC4333lhQlVqk1V6o6+/tKkHMe76Xvc1r142LY0mIvL83yFbCbzAGCzNR1PnudrpC+hsG3p7JXNu287dmFBl6ZLajRcTc2X9cKZuU07N7Bdnb5cUL3hyjRMydeGLAr/xvFpzRWC8ZszV4qbWg8A2923T89par6sRsPVpemSTlxclCRZpqGhfFwh21IiGlK15ujcxFKPSwtsb42mq7liTcN9CeXT0a6t8VvPV16Y1HI5mA/9xokZFUv1TTs3AGxHX3jmoiQpErb14qk5Tc4xR7ud3RdBHOfPn9c73/lOvfWtb9WP/uiP6vTp070u0n3B9fxVjx3Xv84r707T8aQVh27cwiQWsNWs/N76/uZ9j9dep67H9QPgxupNb81j94avdz1f/oqqplv9AWC7W9km+77kef7q/oDf6vcCQEtjTZvcaGxuHXHNPT/3EgAAbDjP8+S4V9tY1/Vvqc31/LX34rTTANAL18zBbOLY6Nqgv2aTtgC4GdddPV/rbcAlu3ZMt97cnI38gHvB2rassWJO0rlmPRLtHHA3XM9ftfZuM68px1mx3sCXms6N1x8AwP2usaaOrtS4x9jO7osgjve97336O3/n7+izn/2sfvqnf1q/+qu/2usi3RdS8bDSibAkyTCk0YFEV86TS0c1PtRKY2pID+0lrRq2n5Xf290jaaXj4U0571A+LtsKmoJI2FJfJrYp5wWwfe3bkVGqVUfZtnnTdjcSsjSQu1q33G3qceBeNTZw9doYzMcVDlnB9WUEvxsfSiqXjvaodAC2ogf35mVZQSWRSYa1ZzS1qedPxkLKJK/e86+sxwAAwMYwTVNH9ly97z4wnlU0bN/0fSHb0uCKDJg7Bje3nwAACCRiIeXSkeCBIY1t4tjogfGs4pGgzQiHLR3and+0cwPb1cprNNjl/+6X0xzek5fdOk4qEdae0cxdHxO4XxzanVc4HGQUjEdsHRjPdp5LRG1lU1fbWOYfgbsTi9jKZ1rzkJvcb31o70BnPnRsIKn+bPzGbwCA+9xrjgzJWFFv7h5h7Hc7u/lo/zY3Pz+vV155RX/4h38oSXrrW9+q3/iN39Dly5e1Y8eOHpfu3maahh7YlVO17ihkm11N1/7kq8c1X6wqFLI2bfE7sJEe3j+gncNpeZ6/qQs049GQjh7oV6PpKhK2ZZnGpp0bwPYUDdv6ge/ao0KppmQ8fEuLR/aMZjTcl5Bh6JZeD9yPRvoTyqUj8v1goFSSjuzp046hlJpNl0BLANcY6U/qHa/fr0qtoWwy2lkQsFkMw9DBncE9v22ZCoe6d88PAMD97NUPDGrvaFqSlE3d+rjh7pG0hvJx7sUBoMcOjOdUqTU3/b4pGQ/r7a/fp6VSTel4WGHaAuCmRvuTyqejq8Zo79ZwX0I//OQ+lSq9Gb8BtrNcOqof/p69Wqo0lE5GFV5x/RiGoQPjWcYmgQ20f0dWlf6mLMtUZBOvqQd25zQ2mFCd+VAAuCWPHx7W3tGMKnVHI31xWRb9oO3snh+tmZyc1ODgoGw7+KiGYWhkZESTk5N3FMTh+74qlcpGF/Oe12wE/3VTLCRJjioV0gNhe8okIz05r22ZnWwcAHArbNu87R0wNmrCA7iXrbewigBlADcSj9qKR3vXxhqGoXg01LPzAwBwv7id4I2VuBcHgK2hV/dN4TsYxwXud90Ifo2GbYJqgTsUDtvqv871w9gksPF6dU0l42GRTwcAbl0+ExP5Nu8N98WdomGs3lne9/07Plaz2dSxY8futkgAAAAAAAAAAAAAAAAAAAAAAOA+Y/h3E9GwDczPz+stb3mLnn76adm2Ld/39d3f/d36+Mc/ftuZOJ5//vkulRIAAAAAAAAAAAAAAAAAAAAAAGx3jz322A2fv+czcfT19enIkSP6n//zf+qpp57SZz/7WY2Njd12AMdK4XB4A0sIYDtpNBqSqAeA+xn1AACJugAA9QAA6gEAAeoCANQDAKgHAEjUBQCoBwBQDwAItOuCm7nnM3FI0tmzZ/XLv/zLKhQKSiQS+u3f/m0dOHDgto/z4osvSpIefvjhjS4igG3i+eefVzgcph4A7mPUAwAk6gIA1AMAqAcABKgLAFAPAKAeACBRFwCgHgBAPQAgcKvxBvd8Jg5J2rt3rz7+8Y/3uhgAAAAAAAAAAAAAAAAAAAAAAOA+Zva6AAAAAAAAAAAAAAAAAAAAAAAAAPeD+yITB3qnsFzXzGJFkbClHQNJWRZxQ8BGmlmoqFCqKxkLaaQ/IcMwel0kAMAWU6o2NTlXkm2Z2jGYVMi2el0k4J4xu1jV4nJNiVhIo/TFsAGWKw1NzZdbdXZKIZt7aADYLupNV5enl+X70uhAQvFoqNdFAgCga2j3gPsTY83A1uX7vibnyipVm8qmIhrMxXtdJABAF5QqDU0yjwRgm/N9X1dmS6rUHOVSUQ3kYr0uUs8QxIGuqdUdnbq0KN8PHruur71jmd4WCriHLC7VdH5ySVIQMGWahob7Ej0uFQBgK3FcTycuLMh1gw5ZveHq0O58j0sF3BuKpbrOTRQlBX0xQ9LoQLK3hcK21nRcnbiwKM8L6uxG09UDu6izAWC7OHlhUdW6IykIynvkwIBMkwBPAMC9iXYPuP+sHWuu1V0d3sO4BbBVTM1XdHmmJCkYrw7ZpnKpaI9LBQDYSE3H0/EV80j1pqtDzCMB2IYm58qamC1LCvqu4ZCpTDLS41L1BqF46Jpqw+kEcEhSpdbsXWGAe1B7guR6jwEAaDTdzqSaJFVqtBXARlnb96rQF8Ndqje9zsC7RJ0NANuJ7/uqNq7W203Hk+t5PSwRAADdtbbdc1zaPeBet3asmXlJYGtZux6HaxQA7j2NprtqHqnKPBKAbWrtPPj93HcliANdk4yFFQ5d/Yr1Ze7flDdAN2RTkas7WxliJw0AwDWiYVux6NXke/kMbQWwUTLJ1X2xvjTXF+5OLGIrFqHOBoDtyDAM5VeMy6TiYYVsq4clAgCgu9a2e+EQ7R5wr2OsGdja8pmo1BquNk1D2ft0J2MAuJcxjwTgXrGy/jJN477NwiFJ9s1fAtyZkG3qwb19WlyqKxyylE3dvxca0A3xaEgP7u3TUrmhRCykZCzU6yIBALYY0zR0ZHde80s12ZapPIvMgQ0Ti9h6qNUXi0dtJePhXhcJ25xlGjq8J6+FpZpClqkcdTYAbCv7dmSUW4rI86Q+JlABAPe4le0eC4eA+wNjzcDWlktFdWR3XuWao3QivGqRLwDg3mCumEeiPwZgO8unozq8J69qq+8avY/7rvfvJ8emCNmWBvPxXhcDuGetjbIGAGAtyzI1mKM/BnRDNGLf1wMK2Hg2dTYAbFuGYZCJGABw36DdA+5PjDUDW1syHmazIQC4xzGPBOBekYqHlaLvKrPXBQAAAAAAAAAAAIDUaLqq1Jq9LgYAAAAAAAAAAOgitgwFAAAAAAAAAADosa+8MKH/z59+Q/Wmp7/zpoP68bc+IMMwel0sAAAAAAAAAACwwcjEAQAAAAAAAAAA0EMzCxX97v/3G6rWXXmerz/96xP66ouTvS4WAAAAAAAAAADoAoI40FW+76tSa6rpuL0uCnBPcr3gGnNcr9dFAQBsYZVaU/Um/TFgo3n0xdAFlVpTDepsANiWag1H1brT62Jgm/rUl8+q3nB1ZE9ef/sN+yVJH/6fL8mlrwlgi6LdA+5PjDUDW5fjeqrUmnI9v9dFAQB0EfNIAO4F7b6rd5/3Xe1eFwD3Ls/zdfLiopbKDRmGtH88q1wq2utiAfeMpuPqlXMLqjdc2ZapQ7tzikdDvS4WAGCLOX25oIViTTKk3SNpDebivS4ScE9wXE+vnJtXre7Ksgwd3p2nL4a7durSohaX6pIh7RnJaCAX63WRAAC3aGKupMvTJUnSUF9cu4bTPS4RtpOm4+kLz16UJP3tNx7QIwcG9PlnL2p2saqvvzSl73pktMclBIDVaPeA+9OqsebhtAbzjDUDW0Wl1tTx84tyXE+RsKUje/oUstnXFwDuNacvFbSwVGMeCcC2Vq42dfzCglzXVzQS9F1t6/7su96fnxqbYrnS0FK5IUnyfWlittzjEgH3ltlCVfVGEFntuJ6mFyo9LhEAYKup1p1gUk2SfOnKTKm3BQLuIXOFqmr1oC/mur4m57jfwd2p1JpBAIck+dLELHU2AGwXvu+v6mtPz1fUdMiegFv3yrl5LVeayiYjeuzQkCIhS299Yrck6bNfP9/TsgHAemj3gPvP2rHmy4xbAFvK9EKlkzG63nA1V6j2uEQAgI1WqTWDAA4pmPufXe5tgQDgDk3Nl+W6QQaOWv3+7rsSxIGusUxj1WPbMq7zSgB3wjZXV+H3azQiAOD6LNOQVnTBaCuAjbP2erLZ1Qx3yVxTZ1vcQwPAtmEYhqwV4zSG0arXgVv0zRMzkqRXHxrsjKu/8fFxSdILp+e0XGn0rGwAsJ5r2j2aPeCed+1YMxc+sJWsXZ/D2CIA3Hssy1wzj8TcJIDtae1ai/s5g9z9+8nRdcl4WDsGk7JtU4lYSLtGSKUMbKSBXEz92Zhs21Q2FdFof6LXRQIAbDHhkKXdI2mFbFOxiK29Y5leFwm4Z/RlohrIBX2xTDKssYFkr4uEbS4atrV7uFVnR6mzAWC72bcjo0jYUjhkat+O7DULaIAb+dapWUnSqx4Y7PxubCCp3SNpuZ6vp1+a6lXRAGBd+8ezq9s9Fg8B97xrx5qzvS4SgBVGB5LKJMOybVMDuZgGsrFeFwkAsMEiIWv1PNIo80gAtqexwaTSK/qu+XS010XqGbvXBcC9bXQgqVEWMwFdYRgGC7sAADc1mItrMBfvdTGAe45hGNozmtGeXhcE95TBfFyDeepsANiOMsmIHjkw0OtiYBtqNF2dn1iSJB3ZnV/13HceHdX5ySV9/aVJfe9rdvaieACwrnQiTLsH3IcYawa2Ltsy9cCu/M1fCADY1phHAnAvsC1Th+i7SiITBwAAAAAAAAAAQE+cn1yS6/lKJ8IayK3eLffxw0FmjhfPzMl1vV4UDwAAAAAAAAAAdAFBHAAAAAAAAAAAAD1w+nJBkrR/R1aGYax6bu9YVslYSJWao1Ot1wEAAAAAAAAAgO2PIA4AAAAAAAAAAIAeOH2pIEnatyNzzXOWaejogX5J0rdPzm5msQAAAAAAAAAAQBcRxAEAAAAAAAAAANAD5yaKkoJMHOt59MCAJOmbBHEAAAAAAAAAAHDPIIgDAAAAAAAAAABgk/m+ryuzJUnS+FBq3dccbQVxnLiwqKbjblrZAAAAAAAAAABA9xDEAQAAAAAAAAAAsMkWlmqq1l2ZpqHhvsS6rxntTyiTDMtxPZ25XNzkEgIAAAAAAAAAgG4giAMAAAAAAAAAAGCTtbNwDOXjCtnrT9cYhqFDu/KSpFfOLWxa2QAAAAAAAAAAQPcQxAEAAAAAAAAAALDJrswEQRxjA8kbvu7IniCI4/gFgjgAAAAAAAAAALgXEMQBAAAAAAAAAACwyS7P3loQx6HdQRDHsXML8n2/6+UCAAAAAAAAAADdRRAHAAAAAAAAAADAJpuYLUuSxgZvHMSxf0dWtmWqUKprar6yGUUDAAAAAAAAAABdRBAHAAAAAAAAAADAJpuaD4I4RvsSN3xdOGRp/46MJOnY+fmulwsAAAAAAAAAAHQXQRwAAAAAAAAAAACbyPd9zRaqkqSBfOymrz+0Oy9JeuXcQlfLBQAAAAAAAAAAuo8gDgAAAAAAAAAAgE20XGmq3nAlSf2ZmwdxHG4FcZy8uNjVcgEAAAAAAAAAgO4jiAMAAAAAAAAAAGATzS5WJEnZVEThkHXT1z+wKydJujC5pEqt2dWyAQAAAAAAAACA7iKIAwAAAAAAAAAAYBPNLFYlSQPZm2fhkKS+TEz92Zg8Xzp9udDFkgEAAAAAAAAAgG4jiAMAAAAAAAAAAGATzRaCTBwDuVsL4pCuZuM4cWGxK2UCAAAAAAAAAACbgyAOAAAAAAAAAACATTTbysQxmIvf8nsOEcQBAAAAAAAAAMA9gSAOAAAAAAAAAACATTRbCII4BrK3nonj0K68pCCIw/f9rpQLAAAAAAAAAAB0n93rAtyqer2uX/iFX9CZM2cUjUbV39+vX//1X9eOHTv0Ez/xE5qYmFAymZQk/ciP/Ih+8id/UpJUrVb1q7/6q3rxxRdlmqbe+9736i1veUsPPwkAAAAAAAAAALifzbUycQzkbj2IY+9YRrZlqFCqa3qhouG+RLeKBwAAAAAAAAAAumjbBHFI0t/9u39Xr3/962UYhv7bf/tvet/73qc//MM/lCT9q3/1r/SGN7zhmvd8+MMfVjgc1l//9V/r0qVLeuc736nXvva1ymQym118AAAAAAAAAAAAzRYqkqSBbPyW3xMOWdo7ltHJiwUdv7BIEAcAAAAAAAAAANvUtgniiEQievLJJzuPH3nkEX30ox+96fv+8i//Ur/5m78pSRofH9fjjz+uL3zhC3rqqafuqBy+76tSqdzRewEAAAAAAAAAwP2t6XhaXK5Lur1MHJL0wK68Tl4s6MSFBf2tV+/oRvEAAAAAAAAAAECXbZsgjrU+9rGPrcq88Tu/8zv6wAc+oH379um9732vxsfHJUkTExMaGxvrvG5sbEwTExN3fN5ms6ljx47decEBAAAAAAAAAMB9q7Bcl+9LtmUoFQ/f1nsf2JnTpySduLDYncIBAAAAAAAAAICu25ZBHB/60Id04cIF/fqv/7qkIIBjZGREvu/rj//4j/WzP/uz+sxnPtN5vWEYnZ9937+rc4dCIe3fv/+ujgFg+yKICwAAAAAAAMDdWFyuSZKyyYhM07jJq1c7tDsvSTp7pah601UkZG14+QAAAAAAAAAAQHdtuyCOD3/4w/rc5z6nP/qjP1IsFqQZHxkZkRQEa/z9v//39du//dtaXFxULpfT6OioLl++rHw+mNiYmJjQk08+ecfnNwxD8Xj87j8IAAAAAAAAAAC47ywuBUEcuXT0tt87mIspm4qosFzX2ctFHd6T3+jiAQAAAAAAAACALjN7XYDb8ZGPfESf/vSn9ZGPfETpdFqS5DiO5ubmOq/57Gc/q/7+fuVyOUnS2972Nv3Jn/yJJOnSpUt69tln9cY3vnHzCw8AAAAAAAAAAO57i8t1SVIudftBHIZh6IGdwfzHiYsLG1ouAAAAAAAAAACwObZNJo6pqSn91m/9lsbHx/Wud71LkhQOh/XRj35UP/MzP6NmsynDMJTL5fQHf/AHnfe9+93v1q/8yq/ozW9+s0zT1Pve9z5ls9kefQoAAAAAAAAAAHA/u5qJI3JH739gV05Pvzyl4+cXpTtPPA4AAAAAAAAAAHpk2wRxDA8P68SJE+s+94lPfOK674vH4/r3//7fd6lUAAAAAAAAAAAAt+5uMnFI0qFdeUnSiQtk4gAAAAAAAAAAYDsye10AAAAAAAAAAACA+8XCXWbiODCelWlIc8Wa5grVjSwaAAAAAAAAAADYBARxAAAAAAAAAAAAbJLCXWbiiEZs7R7JSJJOXFzcsHIBAAAAAAAAAIDNQRAHAAAAAAAAAADAJllYvrtMHJL0wK6cJOnEBYI4AAAAAAAAAADYbgjiAAAAAAAAAAAA2AS+72tx6e4ycUgrgzgWNqRcAAAAAAAAAABg8xDEAQAAAAAAAAAAsAlK1aYc15Mk5VJ3n4nj9KWCmo63IWUDAAAAAAAAAACbgyAOAAAAAAAAAACATbC4VJMkJWIhhUPWHR9nbCCpZCykhuPp/GRxo4oHAAAAAAAAAAA2AUEcAAAAAAAAAAAAm2BxuS7p7rJwSJJhGJ1sHCcuLN51uQAAAAAAAAAAwObZlCCOM2fO6E//9E/1B3/wB5qdnZUkTU9Pq1arbcbpAQAAAAAAAAAAem6p1JAkZZJ3F8QhSQ/syksiiAMAAAAAAAAAgO3G7ubBXdfV//1//9/68z//c/m+L8Mw9PrXv14DAwP6tV/7NR0+fFj/7J/9s24WAQAAAAAAAAAAYEtYKgeZONKJ8F0fi0wcAAAAAAAAAABsT13NxPEHf/AH+ou/+Av9i3/xL/QXf/EX8n2/89z3fM/36Etf+lI3Tw8AAAAAAAAAALBlFMsbl4nj4M4giGNyvqxiqX7XxwMAAAAAAAAAAJujq0Ecf/7nf673vOc9+of/8B9qz549q57bsWOHLl++3M3TAwAAAAAAAAAAbBntYIuNyMSRjIU0PpSSRDYOAAAAAAAAAAC2k64GcUxPT+vRRx9d97lIJKJyudzN0wMAAAAAAAAAAGwZS+1MHBsQxCFJh3YF2TiOnV/YkOMBAAAAAAAAAIDu62oQR19fny5durTuc+fOndPw8HA3Tw8AAAAAAAAAALBltIM40snIhhzvyJ4+SdJLZ+Y25HgAAAAAAAAAAKD7uhrE8eSTT+pDH/qQpqenO78zDEPLy8v62Mc+pje84Q3dPD0AAAAAAAAAAMCWUSzVJUnpDcrE8fD+fknSqUsFVevOhhwTAAAAAAAAAAB0V1eDOP7pP/2ncl1X3//936+f//mfl2EY+sAHPqC3v/3tqtfres973tPN0wMAAAAAAAAAAGwZ7UwcmQ0K4hjKxzWYj8v1fL1ybn5DjgkAAAAAAAAAALqrq0Ec/f39+rM/+zP9wA/8gF5++WVZlqXjx4/r9a9/vf70T/9U2Wy2m6cHAAAAAAAAAADYEnzfvxrEkYxs2HGP7guycbx4em7DjgkAAAAAAAAAALrH7vYJ+vv79a//9b/u9mkAAAAAAAAAAAC2rHK1KdfzJUnpDcrEIUkP7+/X55+9qBcI4gAAAAAAAAAAYFvoaiYOAAAAAAAAAAAAqJOFIxaxFA5ZG3bch1uZOM5cLqhSa27YcQEAAAAAAAAAQHdseCaOX/7lX77l1xqGofe///0bXQQAAAAAAAAAAIAtpVgKgjjSiciGHncgF9NIX0KT82W9fHZe33FkeEOPDwAAAAAAAAAANtaGB3E8/fTTqx4vLy9reXlZtm0rm82qUCjIcRylUiml0+mNPj0AAAAAAAAAAMCWs1SuS5LSifCGH/vh/f2anC/rhdNzBHEAAAAAAAAAALDFbXgQxxe/+MXOzy+88IJ+/ud/Xr/2a7+m7/u+75NlWXJdV5/5zGf0b//tv9Xv/u7vbvTpAQAAAAAAAAAAtpxiOcjEkUlubCYOKQji+NzTF/TimbkNPzYAAAAAAAAAANhYZjcP/tu//dv6qZ/6Kb397W+XZVmSJMuy9IM/+IP6qZ/6Kb3//e/v5ukBAAAAAAAAAAC2hGKpi5k49vVJks5eKapUaWz48QEAAAAAAAAAwMbpahDHyy+/rIMHD6773MGDB3X8+PFunh4AAAAAAAAAAGBLWGpl4uhGEEdfJqYdg0n5vvTimfkNPz4AAAAAAAAAANg4XQ3iSCaT+upXv7ruc1/96leVTCa7eXoAAAAAAAAAAIAtoR3EkUlGunL8o/v7JUkvnJ7tyvEBAAAAAAAAAMDGsLt58B/6oR/Shz/8YTmOox/8wR9Uf3+/5ubm9KlPfUof/ehH9ZM/+ZPdPD0AAAAAAAAAAMCW0M1MHJJ09MCAPvPV83rh9FxXjg8AAAAAAAAAADZGV4M4fvEXf1ELCwv6yEc+oj/6oz/q/N73ff3QD/2QfvEXf7GbpwcAAAAAAAAAANgSlrscxPHwviATx8WpZS0u15RLRbtyHgAAAAAAAAAAcHe6GsRh27Z+67d+Sz/zMz+jp59+WoVCQdlsVq95zWu0b9++bp4aAAAAAAAAAABgy1iuBEEcqXh3gjjSibD2jmZ0dqKoF0/P6fWv2tGV8wAAAAAAAAAAgLvT1SCOtr1792rv3r2bcSoAAAAAAAAAAIAtZ7nSlCQl46GunePogX6dnSjqBYI4AAAAAAAAAADYssxeFwAAAAAAAAAAAOBe5nm+ytXuZuKQpKP7+yVJL5ya69o5AAAAAAAAAADA3dnwTByHDx/Wxz/+cR09elSHDh2SYRjXfa1hGHrllVc2uggAAAAAAAAAAABbRqXuyPODn5Ox7mXieHBvn0zT0OR8WTMLFQ3m4107FwAAAAAAAAAAuDMbHsTxcz/3cxoaGur8fKMgDgAAAAAAAAAAgHtdqRJk4YiELYVDVtfOE4+GdGA8qxMXFvXC6Tl972t2du1cAAAAAAAAAADgzmx4EMc/+Sf/pPPzz//8z2/04QEAAAAAAAAAALaVUqUpSUp1MQtH29H9/a0gjlmCOAAAAAAAAAAA2ILMbh7c9/0bPl8qlbp5egAAAAAAAAAAgJ5bbmXiSMbDXT/XI/sHJEkvnJ676TwNAAAAAAAAAADYfF0N4vgH/+AfaH5+ft3nXnjhBf3wD/9wN08PAAAAAAAAAADQc51MHJsQxHFoT162ZWq+WNPEXLnr5wMAAAAAAAAAALenq0EcZ86c0Tve8Q597WtfW/X7j370o/rxH/9xZbPZWz5WvV7Xe97zHr31rW/VO97xDr373e/W5cuXJUnz8/N697vfrbe85S16+9vfrueee67zvmq1ql/8xV/Um9/8Zr31rW/V5z73uQ35bAAAAAAAAAAAALdiudrOxBHq+rkiIUuHd+clSS+cmu36+QAAAAAAAAAAwO3pahDHJz/5Se3bt08//dM/rd/7vd/T4uKi3vOe9+g3f/M39c53vlN/8id/clvH+7t/9+/qr/7qr/TJT35Sb3jDG/S+971PkvTv/t2/06OPPqrPfe5zev/7369//s//uRzHkSR9+MMfVjgc1l//9V/rv/7X/6pf//VfV7FY3PDPCgAAAAAAAAAAsJ7lShDEsRmZOCTp6IF+SdK3T89tyvkAAAAAAAAAAMCts7t58P7+fv3RH/2Rfu/3fk8f+tCH9F/+y39RNBrVf/gP/0FvectbbutYkUhETz75ZOfxI488oo9+9KOSpL/6q7/SF77wBUnS0aNH1dfXp+eff16vfe1r9Zd/+Zf6zd/8TUnS+Pi4Hn/8cX3hC1/QU089dUefyfd9VSqVO3ovAAAAAAAAAAC4/5QqTUlSahMycUjS0f39+mNJL56ek+f5Mk1jU84LAAAAAAAAAABurqtBHJJkGIay2awMw1Cj0dDY2Jj27dt318f92Mc+pje84Q1aXFyU53nK5/Od58bGxjQ5OSlJmpiY0NjY2KrnJiYm7vi8zWZTx44du/OCAwAAAAAAAACA+0o7E0citjlBHAfGc4qGLS2VG7owtaQ9o5lNOS8AAAAAAAAAALi5rgZxlEol/cqv/Ir++q//Wn/v7/09PfXUU/rn//yf60d/9Ef1a7/2a/rhH/7hOzruhz70IV24cEG//uu/rlqtJsNYvYOU7/urHq98fu1ztysUCmn//v13dQwA2xdBXAAAAAAAAABu19VMHOFNOV/INnVkb5++cXxGL5yeI4gDAAAAAAAAAIAtpKtBHE899ZTm5+f1gQ98QN/3fd8nSfrEJz6h973vffqX//Jf6plnntH73//+2zrmhz/8YX3uc5/TH/3RHykWiykWi0mSFhYWOtk4JiYmNDIyIkkaHR3V5cuXVz335JNP3vFnMgxD8Xj8jt8PAAAAAAAAAADuL+1MHJsVxCFJj+zvD4I4Ts3pHa+/+wzpAAAAAAAAAABgY5jdPHgikdAnPvGJTgCHJMViMf3bf/tv9Ru/8Rv6zGc+c1vH+8hHPqJPf/rT+shHPqJ0Ot35/dve9jb98R//sSTphRde0NzcnB577LHOc3/yJ38iSbp06ZKeffZZvfGNb7zbjwYAAAAAAAAAAHBLlluZOJLx0Kad8+j+AUnSS2fn5Lrepp0XAAAAAAAAAADcWFczcXz84x9XOLz+rlI/9mM/pkceeeSWjzU1NaXf+q3f0vj4uN71rndJksLhsP77f//v+qVf+iX9i3/xL/SWt7xFoVBIv/M7vyPbDj7au9/9bv3Kr/yK3vzmN8s0Tb3vfe9TNpu9688GAAAAAAAAAABwK0o9yMSxZyyjRCykcrWpM1eKOrgzt2nnBgAAAAAAAAAA19fVII52AMfXvvY1fe1rX1OhUFAul9MTTzyh173udTp48OAtH2t4eFgnTpxY97n+/n794R/+4brPxeNx/ft//+9vu+wAAAAAAAAAAAB3y/f9nmTisExDh3fn9dyxaR07v0AQBwAAAAAAAAAAW0RXgzgajYb+6T/9p/qbv/kb+b4v27blOI7+83/+z3ryySf1e7/3ewqFNm/CAgAAAAAAAAAAYDPVG64c15O0uZk4JOnInlYQx7kFveP1+zb13AAAAAAAAAAAYH1mNw/++7//+/ryl7+s9773vfrqV7+ql156SV/96lf1S7/0S/ryl7+s3//93+/m6QEAAAAAAAAAAHqqnYXDtgxFw9amnvvw7rwk6dj5efm+v6nnBgAAAAAAAAAA6+tqEMenP/1p/ezP/qx++qd/Wvl8MFGQz+f17ne/Wz/7sz+rT33qU908PQAAAAAAAAAAQE+Vqg1JUjIelmEYm3ruAztzsi1DC0t1TS9UNvXcAAAAAAAAAABgfV0N4piamtLjjz++7nOPP/64pqenu3l6AAAAAAAAAACAnlquBEEcqXho088dCVnaN5aVJL1ybmHTzw8AAAAAAAAAAK7V1SCOfD6vEydOrPvciRMnOtk5AAAAAAAAAAAA7kXLlaYkKRkL9+T8h/cEczHHzhPEAQAAAAAAAADAVtDVII43vvGN+g//4T/oc5/73Krff/7zn9cHP/hBvelNb+rm6QEAAAAAAAAAAHqq1MnE0ZsgjiPtII5z8z05PwAAAAAAAAAAWM3u5sF/4Rd+Qd/4xjf0z/7ZP1MsFtPAwIDm5uZUqVR08OBB/cIv/EI3Tw8AAAAAAAAAANBTnUwc8VBPzn9odxDEcXF6WaVqU8lYb8oBAAAAAAAAAAACXQ3iyGQy+rM/+zN94hOf0NNPP61CoaAjR47oda97nX74h39Y4XBvdp0CAAAAAAAAAADYDL3OxJFLRTXSn9DkXFnHzy/o8cNDPSkHAAAAAAAAAAAIdDWIQ5LC4bDe+c536p3vfGe3TwUAAAAAAAAAALCltDNxpHqUiUOSjuzJa3KurFfOzRPEAQAAAAAAAABAj5m9LgAAAAAAAAAAAMC9armViSPZo0wcknR4d58k6fj5xZ6VAQAAAAAAAAAABDY8E8e73vUu/dqv/Zr27dund73rXTd8rWEY+uhHP7rRRQAAAAAAAAAAANgSSlsgE8eh3TlJ0slLi3JdT5bFHl8AAAAAAAAAAPTKho/S+76/6ucb/ed53kafHgAAAAAAAAAAYMsoVXufiWN8MKVE1Fa94erc5FLPygEAAAAAAAAAALqQieNjH/vYuj8DAAAAAAAAAADcb5a3QCYO0zT0wK68vnFiRifOL2j/jmzPygIAAAAAAAAAwP2OfNkAAAAAAAAAAABdUqq0MnHEepeJQ5IO7c5Lko6dX+xpOQAAAAAAAAAAuN9teCaOiYmJ23r96OjoRhcBAAAAAAAAAACg55qOp1rDlSQle5iJQ5IO785Jko5fWOhpOQAAAAAAAAAAuN9teBDHG9/4RhmGccuvP3bs2EYXAQAAAAAAAAAAoOdK1Ubn53i0t0EcB3fmZBjS9EJFC0s15dPRnpYHAAAAAAAAAID71YYHcbz//e/vBHE4jqM/+IM/UDQa1fd///erv79fs7Oz+sxnPqNarab3vOc9G316AAAAAAAAAACALaFUaUqSElFblnnrG2B1Qzwa0q7htM5PLun4+QV951EypQMAAAAAAAAA0AsbHsTx1FNPdX7+wAc+oH379uk//af/JNM0O7//uZ/7Of3Mz/yMLly4sNGnBwAAAAAAAAAA2BLK1VYQRzzc45IEDu3OB0EcFxYJ4gAAAAAAAAAAoEfMm7/kzv2P//E/9OM//uOrAjgkyTRN/fiP/7g++clPdvP0AAAAAAAAAAAAPVNqBXEkY6EelyRweHdOknT8/EKPSwIAAAAAAAAAwP2rq0EchUJBtVpt3edqtZqWlpa6eXoAAAAAAAAAAICeKVUakqRUfGsEcRzalZcknb5cUNNxe1waAAAAAAAAAADuT10N4jhy5Ij+43/8j1pYWL2j08LCgv7jf/yPOnz4cDdPDwAAAAAAAAAA0DNXM3GEe1ySwEh/QulEWE3H05krxV4XBwAAAAAAAACA+5LdzYP/y3/5L/UP/+E/1Jve9CY98cQTGhgY0OzsrL7+9a9Lkj7ykY908/QAAAAAAAAAAAA90wni2CKZOAzD0KFdeT3zypSOn1/sZOYAAAAAAAAAAACbp6tBHI8++qj+7M/+TB/84Af1zDPPqFAoKJvN6g1veIP+8T/+xzpw4EA3T3/fWFyuqVhqKBkLqT8b63VxANymmcWKKjVH2WRE2VSk18UBgG2t6bianCvLMAwN9yUUsruaeA64Lb7va3qholrDVT4dVTqxNXbiBbA9zC5WVa41uW8AgHvAXKGqUrWpTCKsXDra6+Kgy0qVdiaOrRHEIUmHdudaQRwL0pP7el0cALeoWKprcbmuWMTWUD7e6+IAwLYys1BRpe4ol4ook2RcBfA8X1PzZTUdTwO5mOLRrXO/AgD3ulKlobliTdGwpaF8XIZh9LpIALYR+nH3lq4GcUjSvn379Lu/+7vdPs19q1iq69TFgiRpRpLvSwM5AjmA7WJ6oaILk0uSgmCOw7vzSsVZ0AkAd+r4+UVV646koJ/00L7+HpcIuGpirqwrMyVJ0uxiRQ/u7eOGGsAtmVmo6Dz3DQBwT5hdrOrcRFFSUL8/sCvHIrJ7XKnakCQltlAQx+HdQfaNY+cX5Ps+iwWAbaBcberExUXJDx67nqfR/mRvCwUA28TkXFmXppclBeMqD+7p21J9M6AXLkwtaXaxKkmaK1Z1dH+/QrbV41IBwL2vVnd0/MKiPC+4uWs6nsaHUj0uFYDt5NxEUfPFmiRpvljTw/v72eB2G+Nfbptrp2K/+rjRo5IAuBPLlRXXrH91Zz4AwO1zXK8TwCFJlZrTGfwAtoKV7b7vS+Wqc4NXA8BVa+8bVj0GAGwra8dv147v4t7TycSxhQIw949nZZmGFpZqmi1Ue10cALegXG12Ajgk5hIA4HZcMx9LHxxYdV24rq9KjfkKANgM5Vpz1RoG5nsA3K6VY0KO66nWoB+3nRHEsc2lE2HJWPMYwLax8po1DCnFNQwAd8y2TMWjVxPNJeMhmSa7iWLryCSu7rBsmoZScXZ7A3BrVu3QbkjpBDu2A8B2tWr81mA8937QXiSY3EK7PUfDtvaMZSRJx88v9Lg0AG5FMh6SwXwgANyRleMqhiHGZQGtHl+0bZOs4QCwSZLx8Ko1DGToBXC70smrY0Ih21QsYt/g1djq+Nfbhqp1R03HUzIWUioe1qFdeRVLdSXjIeVS0V4XD8BtGMzFZVumytWmsqnILU/m+r6v5UpTtmUwoAKgp8rVpjzfV2qL7Ch6aHdeMwsVyZCGcvFeFwdYZaQ/oXDIVLXuKJeKKsrNNLCupuOpUmsqFrEVDlm9Ls6W0J+NyTCkmcWq+jLRLbUIFABwe/oyMZmmoVKlqUwysmXupXBjjuupXG0qGrEVuc3+SXkLBnFI0qFdOZ2+VNDxC4t6/at29Lo4AG4iHg3p8J4+LS7VFI/a6svEel0k3IKVc7psNgP0zlA+LtsyVKk5yqWjtz23yrwstivP81Wqrv/d3TWcUjxiq+G46s/EFLLZAxhA71RqTTmur1Q8JMO4t/vNkZClI3vyWliqKRKyNZDj3g7A7dk9kpZpGKo2HO0cSsm26MdtZ6wa2mZmFis6P7EkKdh159CuvNKJMDvuANtYPh1VPn3rAVi+7+vUpYIKy3VJ0o7BpEYHkt0qHgBc16XpZU3OlSUFddn+8WxvC6QgGwd1IrYyFlkAN1ZrOHrl3IIcx5NpGjq8O6/EFlvw2Au+72t2sarlckPL5YZ8P1iAAADYnnKpKJvxbCONpqtXzs2r0Qz6Jw/syt1W8E2p0pAUjOdvJYd35/UXXz6nY2TiALaNZCy05QLCcH0zixWdn1yS/KtzugRyAL3Tl4mpL3P77/N9XycvLqpYCvp040MpjfQnNrh0wMbzfV8nLy1qqfXd3Tmc0nDf1e+uYRgaZHwRwBYwNV/WxallScHu8g/szN3zgRzxaIjAUAB3bHaxqumFiiTpgresB3blGG/YxgjB2Wam5sudn0uVZicVO4D7R63hdgI4JGlqvtLD0gC4n7VvCiRpYammetPtYWkAAPeC+WJNjuNJCnaKmy1Ue1yiraFcbWqp3Og8Xjk2AAAAumthqaZG82r/ZGbh9sbiSp1MHFtrI6ZDu/KSpHNXiqo1nB6XBgDuPdPzFckPfmZOF9i+qnWnE8AhSZOMyWCbqNScTgCHxHgigK2rvWmkJC2VGqrWGaMAgBtZeU+yXGmoUmO8YTvrWhBHrVbT93zP9+iLX/xit05xXwrbK1K1GyKlIXAfsi1DK4POQyHqAQC9EVqRks80DdlEdgMA7tLae9ww97ySJNs2pZX3APxdAADYNNf0T0LWdV55Lcf1VGsEGx5stUwcA7mY8umoXM/X6UuFXhcHAO45q+ZumNMFti3bMlfNyzJWhe3i2vHEW7+PAYDNtHKcxTCCthcAcH1r15BTb25vXfvXi0ajqtfrisVi3TrFfWnPWEbpZFixiK09IxnFInaviwRgk4VsS/t3ZBWL2krGQ9o3dge5fwFgAxzYmVUyHlIsamv/jqwsbgwAAHdpIBvTUF9c0YilgVxMw32JXhdpS4iGbe0byygWtZVOhLWXewAAADZNXyamkf6EYhFb+UxUowPJW35vqXJ1F7R4dGsFcRiGocO7g2wcxy8s9rg0AHDv2TPKnC5wLwiHLO1rzcum4mHt25HtdZGAWxIJWavGE1lTAGCr2jeWUSoeVixqa+9Y5rY2zwCA+9GesbTSiVa9OZpRlPGGba2r/3pPPPGEvva1r+l1r3tdN09zX4mErE6ac2yM5UpDZy8X5Xq+dgwmNZiP97pIwE3l0lHl0tFeFwOS6k1Xpy8VVGs46s/GtGs43esiAZum6XhqNF15XrC7KIDNM71Q0ZWZkizL0L6xjJLxcK+LBGwIwzDoT11HXyamvsydbZSxuFzT+Ykl+ZJ2j6SV514CAG5L03F1+lJR5VpT+XRUe0bTMgwyEd5PxodSGh9K3fb7StWGJCkRtWVtweyVh3bn9JUXJnT8/EKviwIA9xzmdK91fnJJ88WqomFb+8ezirBAD9tEPh2947GUpuPq1KWCKjVHfZmodo9wL4HNczfjiWstLtV0fnJJkrR7NK1civFFABsjGrF1eE/v+82VWlNnLhfVcFyN9CVuaxMPANvHQqtPY2j79mmiYVuHdve+3sTG6Op2yf/oH/0jffrTn9YHP/hBnTx5UouLiyoUCqv+w/2nVndUrjZv/sJNcvZKUfWmK8f1dH5qSY2m2+siAdhkjaarUrUpz/Nv+70Xp5ZUrjblur6m5ysqlupdKCGwNZ29UlSj6clxPZ2dKN7XgRyO66lUadzXfwNsrKYTfKfcdb5T9aarC1NLclxP9YarsxPFHpQQwHbh+77OXC6q6XhyHE9nLheu6ffeqM4BAEiXZ0parjTkeb7mClXNF2urnr+bcQXc20qtcfDEFg26PtTJxLEg3+f7CwB3yvV8lSoNNR3uqa5ncbmmmYWKXNdXudrUpenlXhcJ95ir1+HWmuu/PFNSqRLcK8wuVrWwVLv5m4AtxvN8nbkSjC82HU9nLhdVrjZUrTu9LhqA28QY1vWdn1xSte7IdX1dniltqbWNADaG5/k6c7mgcqWhUqWhM5eLjImi57qaieOpp56SJH3wgx/U7//+76/7mmPHjnWzCNhipubLujgVDMrlM1Ht3wLpRl0vGCz0fF/JWIiOKnCfKZbqOnlxUb4vxaO2Du/pu62dEd01dcadLuAulupyXE/ZVHRL7swIrGfV998Pbnh0B5unlapN1RuO0omIQnZXY4y7olZ39Mr5BTmOJ9s2dWR3nnSFuCuVWlPHzi/IdX2FQ6aO7OlTOGQFwdC1pkzTkFZcfq5L/xW4X5WrTdUajtKJsEL2+o2w70veigFI31drQNLoHOP4haDOiYQsHV+Ihi8AAQAASURBVNmbv+6xAOB+5Xq+6g1H9aaneMRedS9ULNV16lIQIBeL2jqyOy/L2n73NeiOUiWY8E/GQj0uyfr2jWVkW6aKpYYm58sa7WeXSQC4XU3H0yvn5lVvuDJNQ4d25++63m+PASWioXtmnHHt/CvzsdhI11yHu3LXZC6u1Jqq1h2l4mGFNzELzNqx27XzisCd8n1fheVgc8FsKtLVDC++Vtfbk3Mlua4nwzC0YzDJbvXANrHe2pjlckOe7yubjATzj/extW00bTZw7/F9X1PzZU3NVyRJo/0J+b5Eojz0UldHfX7u535uw24U/s2/+Tf64he/qCtXruhTn/qUDh48KEn6iZ/4CU1MTCiZDG4KfuRHfkQ/+ZM/KUmqVqv61V/9Vb344osyTVPvfe979Za3vGVDyoM7c2W21Pl5oVhTbcC5ZvCx3nQ1X6jKtk0NZGNdTydqSDp5aVGe52vvWEaRMItVgK1qcbmmSs1RNhlRYoMmvyfnymqvaavUHBVL9dtKiTw2kFSpEtQhqXj4jtKsXZ5Z1sRsWZKUiFV0eHd+S98gO66n2cWqDEMayMUJOrmPjQ+ldGFqSfKlob74HU18zC5Wda6VRSAcMvXg3n7ZlqG5Qk1Nx1U+E1U03PuJSs/zNVuoyvU8DWRjqxa3zhaqclq77DmOp9lCVeNDqV4VFfeA6YWKlkoN1RqO4tGQ5opVpRMRHT+/IM/zZZqGErFQsAOMofvm+7ZcaWip3FAyFlImGel1cYCemy9Wdfz8gpbKDcUitr7z6Oi6bbFpBpOpl6eD+/HRgcSqxcUr65xENKS5Qk0j/YlN+xwA0EuuG/TfJWkgG1tVPzYdT7OFikzDUDRs6fJMWa7nKRa19ejB/s7rpubLncUs1ZqjQqmuvkxscz/I/5+9P42RLD3z+9Df2WPfI/etqrLW7upukk02yZkRORxrRtK9Go8G0r0DQQt85SvjYiDAgGFDNizryjBsWQZsf7Bh2cB88MDSvTYsebyAwiz01ewkm2Sz2ezu2qtyX2OPOHH2cz+cyFMZmVlZmZWZVZlV7w9ooCIzI+Jkdrznfd7nef7/R3Bu2ZnEcV5FHJqqcHW6wOdP6tx5UhciDoFAIHgBaq0+thM5/wdB1BByEhO7runwgzsb9C2PdFLjSzdGT60e8iopZBOoSpuNuknCULl1qfSqL0lwzjksVt9LvW0Nr8O6yfwuEUejbXF/uQkhqIrMW1fKGIfUM47z3s9jvJKm3YumeKeTGuVj1CAFgsN4uNyKJ7uUcgnmpwtD32+0LUzbo5g1SCVOto8ossTkSIaVzS6eH6AqStzHs7LVfaNFHNvNPo57fuqZAsFhrG33aHWj6XGOq/HJgy0cN6px59I6lydzbLcsVFmmUkie656Vs2BqJMODpSZhGInjsqmLH4MLBIL9bNZNHq40kQH1AprMCl4/zjSC/Dt/5++c2mv90i/9Ev/6v/6v81f/6l/d971//9//9/n5n//5fV//jd/4DXRd53d/93dZWlri137t1/jggw/I5/Ondl2C46EqMr4fJVAkiX0JD88P+OxRLR43bFoec+O5M72m5a0uCV2NnQrMQVJUIBCcL3Y3eq9udXnrcvnECSeI7kuHPX4e2ZTOe9eqeF6AoSsvJDzbavTjf/f6kRPQeb4P3V1oxKMjmx2bG3Oi2PKmMlpKUcwaBGH4wonJ7ebTz7/jBrR7Nr2+Gyvf1+smt69UXvmEjkerLeqtKBm+1ejz9pVKLGA66X1EINhLr+/G4uday2JmLEvN68fNgUEQkkvrXJnKo8jSG+GY3+453FmoxxNIrs4UXkg4KRC8TmzUo0mXO25Qnz+p8+7V6oE/O1HJUMknCWFfk0LXdOJ7Tr1tMTdxtmdwgUAgOE/c2XW+bbRtbg6aCYMg5M6TOn3bAyIx6dxEFt8PUVWZtumSSkZNYeI8IDiMrukAkDnHhf/rs8WBiKPBt96fedWXIxAIBBeOvXlL7YSxwJO1dizCr7UtqoUkNy+VT/Sa5wHX9fEHZliqItPtu/smJQgEu7m72IinmtXbFrcOWQeqMlyb27sOt1v9OK/o+QGtjs1IKXWk9959TngR0kmNd69WcL0AXVPeuIZYwdngB2Es4IBojfhBGNetNusmT9baQNS0fetS6cR19clqhkohSeAHfPq4Htcr3uQz8NJGh7XtyKjxvNQzBYLDaHRt1mvRZ7bRthgtJ8mmjPh7H9/fjg1QO6bDlRMIky8ixWyC966N4PvBazMNTyAQDOMHIUubXTw/RAKW1juv+pIEgrMVcZwmX/7yl4/9nH/xL/4F/8l/8p8AMD09zfvvv893vvMdfvVXf/WFryMMQ0zTfOHnv0rCMGRlq0e375HPaIyXX76z5mRZ58l6lyAIGS+ncB0L13n6/a7p0u09bebcrHmM5M/2Y2qaFoEfFWQtK6Db6yGFImkoeP2ptfps1vvomszseO7cJ1haXTv+dxhGzZynIeKYGcviBQG27VMpJsmlj7/+VUU+0d8vaai4XnQzlGUJXTu//y9cL4gbXCD6/7DjCi94Mznp2PGEodDZFVoZuhpPpoFosoVpua/cdX+rabKxbRKEIaVcAnswIQEiMYtpuXRMh2xKZ/SQ4o9AsJcgCFna6NCzXEq5BGPlNAlDJZPSsGyPVFJDV+V9Qg1DV94oV6dW144LrQDtriNEHII3kr7tsbTRIQhDuqY7NM7bcrxDn/usPTu5656TTukoiojrBALBy6XRtlivmWiqzOx49qUJVD1/+HzbMZ246cXx/FjAAeC4PtmUzs7Rf3ccNjOWxfUDLNujUki+8rOL4HzxdBLH+c0335wr8Vu//5DPn9Rf9aUIBIKXxFajz1bTJKGrzIxlz31t4LxTzifp9l0abYtUQmNy5GRu5I7rP30QgjMwvrvodEyXMHx6Nm12bcZeQa1acP5wXJ/F9Q6uFzBWSVHMJvD9IBZRAHEO5FmT4Z+3DqP4/Wmd0dCffebw9rz37nPCi6Io8ommeQgEe4nMneTYHNXzA+4vNZAlienRLM1ddfUgCOmY7qnU1Q1NAU3hymSexY0Osixx6YxNWc8zu//O56WeKRAcRjqhkkqouG5ALqMP5bfCIMQPifs+Wl3nWS/zWqOp8pHFWKvbXZodm3RSY3okK3pmBIILgB8EUe+FIgESmipdyJ431/NZWBs+QwkuLmfa9fNf/Vf/1aHflySJX//1Xz/x+/yjf/SP+M//8/+cK1eu8G/9W/8W09PTAKyurjI5ORn/3OTkJKurqyd6L9d1+fzzz0/0Gq+KWsdjuzVwTu95pAyFYkZhvKSfKOmwFz8IUORnBzQSoAAbK9F/u/H8kJUNO1btZ1MKir0x9DNBGLLRcDHtgKQhM1bQjn0jDcIQeeCWr3oW3bZLGIYUMioLj+1T/XsIBOcR03J5uNKKmyFDYH6qwHqtx9p2D32QfDkNdXkQRMkj+ZD7wvDPhzxabdHpOWTTOpcn8siyRCalPXUUkTi1SRW6pnBj9uSTJE4S1F0eJLo8P2C8nD7XjuqqImHoSjyWOpVQL1wwKxjGcX0erbToDxqOpkezL/xanhfQs9zY3WduPEc2pR/6GZkZvJ/t+FQKSTJJjUxKixumZFkieQ6cLpptO26+cTwzjiMgusY3zYlEcHqsbHXZqEdKpq7pktBVUkmVicrTQmMmpZPPGDieT6fnksvoVPLJM7smPwh5tNKka0YFh7nx3Cu/12f27PvneWLV4nqbWssimVC5Mpk/1/u64GJh2R6/870F+pZHIWuQS0f3BtfzByLCNEEQDuLSo8ffuYwxfM85YZNpr+/yaLWF7wdMVrNUi2d3vxIIBBcfy/F4sNzE9wNkWcZyXGRZxnZ8RkspJqona4LcIQxDwl2FaIgMGRKGgmVH59ukocY5QV1V0DUZx41yGjNjueicMrgHF7JPmzI09XTyCq+SzbrJ6nYXVZG5PJk/leYeQcROA+DeePY8sTNhdXG9jWmdTnOXQCA4v3T7bjzxeucedXky/yov6VgsbXTYbvZJGipXpl7OmdvzgueesWbHcsyOnU4T69RIhvW6Sd/ySCXUOH96EK7n83D5dHK7Z006qUZF4kFd6jzvjYKXy6PVFu1Bo2h3yeGdq1UMTYlj9Y7p0O45WI6PqkA2bXB5Ir8vP3jYOhwvRzmTvu1RzCVIHxLvHHZOEAjOE9dniyxvRgaq9bYVr6O+7VEtJml27KgvRpbi9WI5Ho9WWkNnbs8LUI85PaKYS1DMnY9mQceN9kLLiX7vqZGXtxdmklGeAKJ8g3DuF5w3giDk8WqLdi8yIsyljXiNSBJcnS6y2TDx/YCJSpqHq228gTjsWRNFX+SecVFpde2hvofdIq1aqx9Pz+uaLpoin1oeUyAQnB1JQ2OimuHBUgOA6bHshbynffa4zr3FBr4fsryZ4M98cSoS2wouJBdexPGP/tE/Ynx8nDAM+Sf/5J/wb/wb/wbf/va3h95jhzAMD3qJY6FpGvPz8yd+nVfBwnqHZNOiY7rYkkkhZ1DKJcgVEsyMnfwg0zUd/uVHa/T6LpVCgm+8N/FCN7kr8x5bzT6aIjNWTu1rGNuom1hyj52UcqmaOtZUkYX1DttNC1WVmZ/McfWawnrNxA9CRotJcbASHMpFFXHtxXb8ITdr2/ExLZfFwZgw1wt4vNo+0XhggLtPGvzgzjoAX7wxws2554/8Xq/3qLcisUa9ZZFOaIxX0rEjU9+OGiay52TMtmm53Fts4LgBpXyCK5P5ob3nKOiawvwFaQCXJIkbcyXWt3sgwURFOGVddBY3OrR7UWJ3bbsXN4QeB8fx+L0fLFFr9mn3HN6dryArMr/7/UWmRzJk0zrXZ4oHOk0pisylieFC8exYDl1TcFyfajF14mkfp0GlkCQII7FqMZsgOIW4UiAAYlHcDn/442VaXQfXC3jnaoVLE/l4TU6NZGn3HO4vNVjZ7DJWTjFzSg0Cu1nb7tJoRw5S280+6aT2yifMFHMJrkzlafccMkmdSuF8NoU3OpGTOIDbdVje7O67xwkEL8qT9TYd04EwWpuphMrPvDNOq+egKTJdy+X/87t3WK+ZjBZTfOOLU0dq4BktpZCAnuVSyBgndovbEYcCPF5rkc/o52IvFwgE5xPHDfj8SZ217R6qIjNRTXFlsgjA8maXbFo/8fm/1urzeLVNEIbMjGaHHJ9vzJZYG5xvd+cXZVnixmyJ9bqJLMFENfPaupRbthcXpB03yge9dfn5+RvB0ej2o/P2s5ofzgOlXIKRUorNusm9xQbvXRt51ZckEAjOEHvPBL+9eYnzTLNjR/s24HoOi+udMzdW+cHn69xZaKAqMj/zzsSZiiTCMOThcot6O6qLXJrIM1JMHtoku7h+8tzuyyKV0Lg+U6TetkjoKmNlMc1YELH7PhSG4Lo+xsCAbWmzw1bTpJRLsLjRRpVlLk8qPFppcXu+8tzXdlyfuwsN+rZHLq1Tzif5g4+W6Ns+kyMZvvGFyQMFWs86JwgE54lUQuPaTBHH9eO9AMB2fYpZg7sLDTo9h8mRDKlBD8zieicWcf7kwTbf+XARSZKYny7w1bfHX8nvcVIW1ztRzhRY3eqRTb28vXBvPVM0TwrOG5sNk9pO703bYrKaZmo0g+34lPNJfD+g3XMIwhDT9rk5V2K9NsjR7ekDMS2H3/3+Ep2eQzmf5Be+MoN+ARufj0oYhtxfasYm1PeXmnzpxkjcC7T3HGW7F+dcJRC8yQRBiO8H1DpRL4R3QSdfPllrx/ehjbpJu2dTLYgz9kXlTLvV79y5s+9rzWaT3/u93+O//+//e/67/+6/O/F7jI9HBwlJkvhrf+2v8Z/+p/8pjUaDYrHIxMQEy8vLlEpRE/Lq6irf+MY3TvR+kiSRSl3MD/zUmErXqtN3wDB0yoUMhqagasap/E4/utfA8SKhS6vns1K3j9SwvZdUCiqlg5vR+rZH3+0TouD5AYauHvn6Xc9nvWZSa3sYRnRo22p73LqUJ5cValjBm0Hf9rBsj4ShDk1TqBaTeP5wQ7IXnCxQ8byAH9xZZ6fP+Yd3Nrk6VXyuuMvzAlwvwHY8DF3F859ex3kcrb282cVxA/q2x9J6h2LWoHyG7ujnAUNTmH2DR+O+LgRBSLvn0OnZQ1/fveaOymdP6tRbFiGRm9+dxQaFjIE1uMd0TZfNRp/xI4p+ZFli8pw4VXh+QMd0KGSN+H6WSWnnYjqI4PWgUkhS71gQRo4utZaNqkSj0Dfrfa7NFGl2bHJpHdcP+OnDbQhBVWXWayaVQvJUnXL9gWuX5XjxGOUXuS+cBeV88tzvsZ43HE+5FzTxIzifeF5ALq3HrnqZpEYpn6SUT7JRM3mwtMmTlTaqKtPoWHz4+QbFrIHnh+TSh0/GGjlFoZa7657heQHbzT6lXEIYJggEggMxLZetZh+IYo6NWj8Wcex87aQ8WWvHBdfFjQ65tI7t+KSS2qHn24ShMncKZ1/TcrFdn1xKP1DY/qrxgj35IC+Irzmb0l9b8crL4iJM4gC4OVtis25yZ0GIOASC1518xsDQlLjJ6CJNzvP31CzOOl/R7FjceRK5c3pewIefb5yKiMNyPPqWRzqpxYL3IAhZ3GizstUlaagkDRVVkZ6bB/H8qJbi+gFJQz03OZxnkT8F4wDB+WQnj25oyrFzldViMnayTiXU+Pm6pjA9kmW70afZtbFtD8mIvuce8bO+tt2j3bOxHR/PD/j00Tb9wYSNlc0uixsd5sb3G7Doog4muEDomkIha9AcNCNWC0lWt3poikwmqeE4PvW2RaWQHMpXP1huYugKSV3lwVKTSxP5V27m9CzCMKppSpJELj1s9LB37/OD45mwtbrR3y2X1o9t1Hie6pkCwUG4e3pv/CCkkktguz6phMpP7m/T67tRLLreplIYeaYx2U8e1OgMBGO1Vp+7T2rcnq++zF/npRKExPlEiP4dhKAMbhOlXIK1Wg/fD5Gk6LFAIDj/9G2Pe0tN1EHN9M6TBq7roWkXq4aZS2vxPdnQFYyXMKVUcHa89E9foVDgL//lv0y9Xuc/+o/+I/7r//q/fuHX8jyPZrNJpRK5LPz2b/82lUqFYjEq9P25P/fn+Kf/9J/yzjvvsLS0xIcffsg/+Af/4FR+j4tINqVz+0qFVs9mebOL74coisTYGbiou55Prdlnu9mPxBaacuJxio2Oxf2lJl3T4ZMH2xSyBgld5cZc8bnPtRyPH93dZLNuUm9ZXJ7Mk0poCBNtwZtEs2Nzf6lBGIKmylyfLWI5PrqmkElqhGFILhM1hUlHnLBgWi7tnkMqoe1LmDS7Nt2+i6EqQ8KNIAiptSyCMKSST+xrYMimdJY3O7hegKbK3DrhNJCXQa1lUWtFTSfppEoplzh2kkcgeJmEYRg58JhO3JxTzCZIJzUK2ePv1zv7qSxJ+H7AymaXRsdmpJCM10LIszfdRseKmqgSKqbloWvKuUh0uJ7Pp49qOG4AEoyVU7GDj1jjgtOikDV4+3KZvu3R7jmsbPXo9h0UWabR7vP54zoAuibT6TncW2riuB5TI9lTFzT4Qchnj2u0uw4rm13K+SQjpSTVczr14jxSyhms11X6locsS0cWrwkER2GymqFve2RTOumExrtXowLJ6naXb//xE7YbPZo9m0wiEhu2OjafDe4h2ZTOjbniS9m/pqoZnqy3cd2ARsdCVWRWtrpcny3tOzMIBIKLRxCEbLf6EEK5kEQ5RCB2FCRJopw1aA6mCpULCXp9F8fzGSunyadP3uQX7plE+snDGhJRs8XNuRLpM2yu32yYPFmNplwkDZVbl0rnTsiRTqhPG34kSCVVfvqoBmFUAHrrclkIOU5At78j4jjfe+CNuSK//9FyfP4QCASvL6oi89aVMu1e1Gx9lvvgaVPIGHH+MDpzn23T5L4aYhDGecydGqXr+dRaFpoqHylP0zUd7iw0CIKoRvvWpTKGrnBvscHdhWg62eRIhtFS+kg1zKShsrjZJQxCMkmNL1wffbFfViA4Aa4X8NmjWiQOk2B+qnCs/P5EJUM2peN6AfmMMWRCoWsKfdtjq9GnZ0UmdUhR7mEHy/Zodm0SehTX7qbbd3my1iEMQxRZGsqL7LzuRCUzJKjabvUJQw6sYQoE55Wr0wWaHRtZlshnDD66t8nCepswjPZ+TZVZ2+6SSxmYlksYRuvL0BQ8L8ByPVpd+9yKOO4vNWORymg5xeyuCeXjlTTdQRN6OqkdSyz4eLXFViOq8ZfyCebPeMKXQPCyyaY0VrY6OG7UezNaTg7lfNa2O6xs9aJ9r5Dk1uUSdxYaGJrC/FR+aFpVuEcgdUy91IVDGdT4diYBjlfSQ3nQhKFy+0qFjhn1SwkDSIHgYiArMvVWPxZxFvOJQ03wzivvzFeRZRnPC5ioZsiK+uuF5pXtILdv3+Yf/+N/fOSf/wf/4B/wne98h+3tbf61f+1fI5VK8b/+r/8rf/tv/21c10WSJIrFIv/Nf/PfxM/5W3/rb/Hv/Xv/Hn/2z/5ZZFnmP/gP/gMKhcIZ/DYXh4ShkjBUKoUUlh01SWqnNN7s9nyFzbpJc+BmEQTw7T95TEJXyKWj5rSpEzjUbDWiAnHf9inmEpRyCcr5BN2+e2hidKvR5+5CnbsLDQxdoWe5rNV6XJspMjN2dmOPBYLzxlbTjJP+rhfQNd0hx11Jkrg+U6Rve6iKHCcsn4VpuXz6qEYQhDS7NuPlNJenCmSSGht1k4W1NtV8koerLUaKKd6/OYqqyjxYalJvRyMbt5t9bl0qDSVNO6bD7FgOx/PRVYVu3z1UBLbd7NPtu+QzOsUXaD4/KVMjGT6+vwVAOhmJw/q2d6qu6ALBadO3vXi0cCqhkU5q3LpUJmmoL3RAuXmpxP2lJuv1HqbtMTOaQ5ah2/cIgpBsWmekeHDid73WY3G9g+8HPFptkU5qJHSVty6XT8XZ7iQ0O04k4AAIwXJ8ZsZevbhE8PqRSmgDQaSBJEGr6+D7ARSTdPsOmaTOg6UmHdOh2bFY2exRa1m8d7V6quO5u6ZDfyCkmpvIoSoyt69URLHyGCiKzFuXIlHOaZ61BAKAYi7Bu1ereAOHVUmSWFhr88//f/d5tNKi73joioyuRu57I7sEWB3TeWkx6kgpRS6js7bdi9dAGMJWwxQiDoHgguD5AWvbPYIwZKycHoo37i014olA9bbFjbmTGS+U85EJQr1toSkyl6fyGJqCoki4foAfBMjyyeKdSxM5Hq20CInO7Tsj0oMgZLvZP9Pm1Z1mENg5h7n7GsteNZIkcXW6QN/2UBSZR8stdjT4tuPT6trnfhraeaY3EHGkU+c7T/TW5Wii9mePa7GxikAgeH1RFflcGKgcF0WRuRWfuWW0M3aaLOYSXJstcm+hgaJIzE7kuL/YBGB1q8fNuSI/ebjNVqOPIkvculR+rnP/VrMfO/r6fkitbVHMGtxdaLC00aFtuvQsl/FKmqmR54tUTNvj0nguNtTrmg4JXezbgpdLu2fH030IIyHzce8x2dTB+QLH9UklNGbHc4MpeSHvzFfiCcK26/ODOxs0OzaaKvPu1Spj5aemKpoioyoSrheiaTLXp4vcWWyw3eijqjKu5/MHHy1zaTLPeDnNylaXRjtq6DqohikQnFckSRqqp+uKjCJLeH4kTHqw3EBVZMqFJL/6zXkSusp4Jc0ffLTMRs2kWkzS7Nhs1M1zJ+RwXD8WcABs1s0hEUc+Y/Du1QqOGxyrzhkE4dCZvd6y8MYDYWIgeK3omC4zo1HvjabKLG10SQ9qBLbjs1YzWdnuQRgSEvJ//OEjam0bRZJY2y7xjS9Ox691e77CRsOka7oUswY3Z59vuHzRmR7NUhnUWQ4SaeiaInJmAsEFw/d9+o6H60Xn8r7l4fugXLBBFuV8kq++PY6/q2YsuLi8MhHH3bt3SaWOHvz//b//9/n7f//v7/v6P//n//yZz0mlUvyX/+V/+SKX99qjyNKpFyjzGYNf/dZVnqw02WxaNDo26zWTpKHguAF3FxonEnHsFIw1VUaWJNIJDUWWD2xc8/yApY0O67Uefduj3rLYbvWpFpIUswlmRrJ88fqIuIEJ3ij2ijIMXSEMQ5Y3u5iWSyGbYLSUOnJjV7NrE4ZRErPRsbEcH8cLePtKmUYnEmlMjWaZqKaZHcszXo2Spjvfg6iQ7XrB0LXpmoIsS3EC9jAxyVajz+PVFhAlbK7PFl/6KO5UQuPWpRLtXuSaLkmI5I7g3KMq0Wd1R9i1I+R4USzbZ248x2gpyfc/2wAgoaukkxJfuDFyaJP5TkGkY7qsbPViR717C41XLuLQtadr2fMCNuomEDltPKuoJBCchG7f4eZciZFCkq2mSdt0Wd3qMTki4QUBsizT7rmoqoQsyTxe6/CTB1u8dbnyXPHlUdA1BSQgBEWWyWcMIeB4AeQzOGsJBDvomjK03jcaPdZqJl3LxfMCAhXeu1rhL33zKncXG3Hj6MuOURO6Sj5jDBVCT+M+JRAIXg4Plpq0B6O4m22b2/MVZFnCD8JYwAHQ7kXC05PEC+2ujaYpXB7PI8uwttWjfCWJikzgh1FhOHey+0c5H+UDQ6DW6seTMSDKjZw2UeNLD11TGPrTSMNnjPOEJElxPsjQFTrm0++dpmj4TaQ7MFDInPP4cHYsRz6j0+o63FtsxKIOgUAgOG+87DP3V26N8d58BVmWubfUoGtGZyzPD1jd7vFwuRWLMj5/Un+uiGNv7GFoCrIED5YbNDo2EpBLpZifKhypVmNoCqoix+e9s4htBILnsa/+eIrxoyJLyLIUv6ahK3H9EGCz3uPJWjsWId9bbADQ6tqkkxqppMqliTx+EKDIMhMjGd66UubH97fxvIC17S4d00WRZVodB9v1UAau4wfVMAWCi0ImrXNpIk8QhvzOd5+w1bSQJNhs9nmy1uZLN0ZJJzX+lS/P8HC5hToQcTc61rkTcezcB3b224PWpKYqxxZ3yrKEpsq4A6MHVYn6kASC1wljT+9NOinHeyY8ze2FRP029bYV74M/fVQbEnFkUjq/8o15LMcb2otfd8SEDYHg9cL3fTw3YOdmGJu6XkAMTQFxVnktONOd5rd+67f2fc1xHO7evcs/+2f/jF/+5V8+y7cXvCIKuSSbTQsIaHUstpoB9bZFPqNjWi6PV9sEQcjUSOZQd/29TI1k8IOQVEKlWkiiawqZlHbgIfLJapt622Kz0adjOowUkuRSOkiQzxpcmswLAYfgjWNqJEsQhJiWRymXIJ8xWN3uxuP/Wl0HXZOPPM1iR6Fv2h4ACU0hCEL6lkc6ocWNHbIik8s8bXZOJbS4mUxT5X3NZKOlFI7r0zFdcmmdkeJ+5XqjY7G80WW93iMMQx6vtLEcj67p8K0vzxzzL3NyrkwVWFzv4HoBE9W0SOgKzj26pjA/XWB1K3LI3juZqm06/OlPVunbHleni89t3tiZ6pE0NMbKKSzbJ5VQmaxmnluwSSVVOqYzOCKFsdtnEL76Gaz5jMHMWJZay2Jtu0c6qdLs2LR7Du9dqx65GbbetljZ7CLLEpcmcmJSj+BAun2XJ6ttFtajWFmWZfJpnYX1Npt1k/dvjtAxXRbX2yR0BT8IIrFy2+bhcoubl07mgg1RIvLKZJ71momuyQN3O4FAcJ4J/YBGp49puUhIJA0V1/PxgoArU/lDY1TPD3i82orPB6ctnizlEkyNZGh07DguEAgEF4Od+B4iZ1vH80noKooskTAULDty2Y0mZpxMlBCEkbh8p2FEk5+eAyQpmip8Guw4cVYLSWzHp91zyKQ0kobKJw+3kYDJaoafPNii1rYZK6X46ttjyPLxfj/L8bi/1IgF87m0TimXwHb9YxlnvEpmxrIEYYjt+FQLSTJCwH4iuoMcWOacT+KQZYl35qv84Y9X+Pj+lhBxCASCN5qljQ4/uruJLMGXb43Frv7phBaLOCQpyrH2+i7tno0iy2Qzz98zx0ppXDeg24/qH5VCklbXRkKK4gcJPD8kecSYYXo0qvtYjk+lkBTGM4JXQjalMzueY7vZJ6Erp5pfUBSZazNFljc7dEwHx/X57HGNufEozx6GDDWjdno2i+sdIKp7To1mGCmlaLT6PFpts7zVZXokQzmfZLvZx7L9wXqW8fwAVZbjlzuohikQnGccL+CPP16h0YnOtOOVNKblERKZMgB4vkffcuPnZFI6qva0qbvdc/j4/hapRCSAOg9rYPd9QJYlZk7xHnN9tsjieocwhOnRzJGneAgEF4VqMYntPs2DTVTSLKx34pzPH/14hY7pAiFySkfbZT6iP8OW/lkCjrXtLj/4fIMghPdvjop6gEAgOJcosoSsSISDcEhRJbH/C145Zyri+Lt/9+8e+HXDMPjlX/5l/p1/5985y7cXvCIKWYPLk3nuLwU4foDtePheSKvr8GC5GRd6Hyw3ee/ayJFHsyuKzOXJ/HN/zvUCOv2o2JwyVDo9B01TuDpbZLSUopJPMlY+X+4BAsHLQJElLk0Mr6Gd9bhD3/YoHjHvkc8YXJnKR2vOdChkDWRZYq3eo9Nz6Jou1WKSqZHMkDPWtZkCy5tdwjBys98bDEmSxMzYs5tGPT+I3a1kSeL7n21EryHB47UWa9tdxisv90CY0FWuzbz+4yIFrxfFbOKZoq3vfrIaO2d/dHeT0VKSSuHp3hmGIY4XoCkysiyRSWmsbHXoWR6aKnPrUplSLsHEEZIz0yNZFFkil9YJCbFtH1WVuTpdOJXf86SMldOMldPYjo/nRyr8IAhxXP9IyWvX83m43IybuB4ut7g9XznLSxZcUB4sNWLHp6WNDpmkhmm5qKpMPquztNnl6+9MkkqqLK13aHYd8hmdpKHQNu2B8OPkCYZyPilG/woEF4jPFxokdIVOL3KOmx7Lk0kb2I5PPmMcGqMub3bjiVhr2z0ySe1YRgtHYaKaOVI8IBAIzhf5jEGzE90fEoaCvsvN8vpsidWtLhCd6U/jvWbHs9SaFqoicW22SEJXsd2omHwctzvPDwiC8FBjBUmS4qayMAz50d1NfD8K1n/7ewu4ro8kSTxaaVHIGty6dLxGdtvx2a1Hd72AG3PPF9uGYcjDlRb1tkXSiHIMr2oChqrIzE8VXsl7v254foDlRLm3i9BU++7VSizi+Ku/dONVX45AIBC8Ejwv4I8+Xonjg9//0TJfuD5Cs2uTNFRGSkk8P6RaSKLIEromo6kKiiyR1p8vvJBlad+0DkWWGK+mSRgKrhcwWkqhH7F2qioyV8S+LTgHjJZSZ+ben0vrzE8V+Pj+FmEIXdPl4UqL21cqjBRTTI1kaHUdNFWiVEgShiFBGLK23WO93uPadJGe7dEfmNLdXWjwtdsJxitpLMcjCMKBi7/M9dkiG3WTMISJA2qYAsF55uN7m6xsRuf1RystKoUkxaxBOWew3eijqhL5rMFoKY3t+hiaQjqpcXW6QK1lRSaLPQfb8bEdH13tPnfC1Msil9aPfT4/CqmEdqQzu0BwUdmdB9thd85H0xTyaZ0wjMwn5saz3Ftsoqky710/ej07CAJ+/6MVvEGd8w9/vML/7ReuHtscRSAQCM4aWYrqHbYc5Wx1RRExv+CVc6Yiju985zv7vmYYBpWKaFx73akUkmw2TIqZyGlOkSUsx4sb0yBy2fP94MgijqOwWTd5st6m3rIIwpBKPir2To1GjhoXoVgmELxMSrkE260+hFHx4KhTOHYo55P8zLvReredyK1mdauHbfts1k16fRdNUShkEnHQo6nKPjHJcfCDMB6Xmk3ppBIqqqqQ0GQMTaW/R5giEAiOj+3sFXg9fez7AXcWGvT6UXP5jdkilu1TzCYwNI+EoTJSTB3ZbUuWJaZGop/dcesydIVq4Xw1kZfzCTbqJgDppHbkMbGeH+5r4hIIDsL1AkzbxXZ8xsppRoopPrq7QaWQxNBUwhAKGZ1vfnGa9VqPO0/qKLLE8maPVELlkwfbXJ8rvlEjjAWCN52Neo+Hyy2Shka1GMXa12cKzIxmySSf3zzkev6ex2KPEggEEVemCmzWTYIwZKSYHCpiGNrJzvR70VSZ92+Mst3qo6kKI8XkC03PrbX6PFppEYYwUkodaaJYEIRxgyaAbftIMuy8u+UcP7+QSWoYuhKfqcqFo+VZ6m2LessCoG95LG90REPma8COWztwIaawvHu1CkSNjX3bO5aISiAQCF4XvCAYig+aXZt6q48sy/Qtj1xKZ34qioU6psP8VIFWz0GVZaqlFxPFpxIaN2ZLLKy12WyYpJMadxcaXJspimYSgWCA5wcH5tkThsqXb42x1TRZ3erhOj6r2z0SuoJpeUxWM7R7Dhs1c+j1bNfnylSBqZEMm40+rhdNs0no6qmedwSCl8mOUGmHVtem2bG5MVcmCKMa+425ErW2RaNjU8gaXJ0uxKZvG3Vz6AwjcoUCwevP7HgWTYkmwuWzOrIsU85HYmVzzz3lMIKAWMAB0b89L0DXhYhDIBCcL8IgQNdVjIGBa0JXcF0fQ+RBBa+QU98t/9Jf+kvcv38fgA8//JBUKsXk5GT8nxBwvDmMFlPkM1GDdUJXmB3LDjn0FXMGiVO+AS5udCCMGtOThsr0aJYP3h5nbjwvBBwCwQEUsgZvXSozN5Hj7cvlFy7O7jRsG1r0/FrbisQWYUjHdGh0rFO7ZkNTKOWfFkO++vY4hYyOoatk0zpT1ZM7gQoEbzo350px51IxazBefrquai2LXj9K4npewNp2jzAMSSU0KoUkmaRGsLuacgx29u6RYuqFGrfOktnxHFdnClyezHNjrnTkAmrSUClkjfjxWEVMAxMczHglHRcis2mdQtbg5uUyxkCUMVZOU8wlkCSJ8UqGP/OFKUr5JJVCgpFiCtv19xUjBQLB683qVo9SLgFIJA2NK1N5vvGFSd6+UkE5wrSo0dJTR0lDV059CodAILi4KLLEeCXNZDWDpp79NIiEoTI1kmW09OLngMX1ThxLbdZNrCMUmhVFZmSXW/C71yrxFA9dV7hyhInAB73mW5fLXJrIc322yMQRJ4UGe3pjXvBIJThndAfTotMJFeUCNOGOldOMllL4Qcinj2qv+nIEAoHglZDQ1SEx6OxYdshBeHfeM53QKOWSVPJJCjnjhSeEy7LEO/MVxqtp5qcLjJbStHunW1cRCC46e/PsE7t6DtJJjZShoSoyhq4yWc2ga1FvQnpgcjE7nkNRongsldSYG49ifUmSGC2lmBrJCnMcwYXn+mwp/pwnjWgNQDQB871rI3zp5ihT1Qzy4Nzd7Ni0e078/FIuEU+ElGWJ0bKoZwkErztfujHKtZkiV2eK3JgtYTs+ubROOqmxWe8f+XVUVWZ+uhA/vjyZRxf7qkAgOIdohka1kCCT0MkkdarFBJomBGeCV8up75h3797FNKPmoX/33/13+R//x/+RYrF42m8juACU8gm+9ZVpFlY7JHSFL94YJZfWKWQMgiCMkybPwnI8PntcRwJuXiodKXGyu86bTmqMFJNHal4RCN5k0kntuevxWaxsdVnZ6lLJJ7k8maeUT7DVNJElCUWRKA8aweRTbsaenyrQLTnIshSPOTUtl3Lh6GPGBQLBs5mfLlIpJOnbHtVCCnXXutrbVCXLEtViilrLom97GLoSiz4er7bYavYZL6ePPJnjPHPcaUU7XJ0u0Ou78T1LIDiIqZEsxazBj2SJhY0OgR/y8+9P4QchjuszWhoumCiKTKWQxLSeNigKd0aB4M0im9K4NJknk9Txw5Bf+uoMo+XnC5qfrLXYbPQZLaZ4Z76C5fhRc6k4OwsEglPmwXKDettmeiTzwk2NR2VvHCQdMS6aG89RKSSRiPIj12YKNDoO5XzihZu4VEWmWjzeZMGdfErXjCYeTgiDiteC7sAAIX2BzIXevVrld763wI/vbfH+zdFXfTkCgUDwSvjZ9ya5OlNElqCYS3DnSR3T8tA1ecjsRpYlrs8W6VkumiLvM65zHI9PH9cJgRuzJVKJZ8cWiiJTyiWQeBrDiDyP4Kx4sNSg3nk5cfppIUkSV6cLdPsuygF59t3rRdcUrkwW6DsetuOTMBRuzpW4MVuk1XOo5hOisVTwWjJaSvEXf/Yyrd7TM23P8thq9EklVOanCmw0zKGpk7trfpoq8/aVMj3LI6ErscmBQPCmsrzRYbXWi3thXkcmqxmK2aiHT9MUVrd7NDs2SDB2TCHXe9eq9G2XIIQv3hg5oysWCASCk6HKEn/mC1PcW6wjSRLXZ0rnzmD2KHhewOcLdSzb4+p0gcIL9jIJzgenfjotlUp8+umnvPvuu4TCMuzU8f2A5a0urhswUkqRS5/fApAkSdycLXNlooCiyLHb2FGbF7/9x49Z2eoCsLDW5le+Of/c51yezPN4pU0QhsyO5UQTiuBcYrs+K5tdwjBkspo59Yk0Z8nuexCEfPfTdQjhHg1cN+D6XJGbcyWmR7I8Xm1hu9H44bNw9c3sKoDnMwb5jHHITwsEguPg+wHtnoPjBqQS7tD6qhQStHo2jbZFKqEN3HmjxK7rBaiKjCxLPFhu8N1P1gG4t9Dgm1+cYnIkw+p2D9NyKeUSlPPHa2y6qEiSNHTPEgh2E4Yha9s9epaLoSmsbPfwvZBO4HB3ocEHb48/87kjxRTtnkOra5NJ6kNT74IgZGWri+1Ee/FupzqBQHD+aPccNusmmiYzVc0c6Sxr6NHUy8mRNFdnSrGL5GE8Xm3xxx+vAtH+/HPvTTK7y2VWIBAITovPn9T44eebANxbbPBnvzK7T5R6mlyayPNwuYkfhEyNZGL3UADH9VnZ6hIEIRPVzL4ppJldxhaphE4q8fJjd0WWuDlXGjpTXXRqrT71tkU6oTFeSV/IYthJ6ZqRiCPzguYpr4L3BiKOj+9vvepLEQgEF5CtRp9m1yKd1BgvX+x7/+645a3L5Wfu0bIskX1G3u/3frBEvRVN01ja6PCv/pkr8ff8IGRls4PjBlSLSfIZg+nRLJbjY9leVFcRTRiCM+DTRzU+uhvF6fcXG/zSV2epFC6G274kPXu9lfMJmt2ndYu5iRyaKuN6AZoqI0kSmqo8N0+/9+wQhiGr2z0UWYonfAgELxvX81ne7OIHIROV9KH9NpmUTialE4ZRfcDzA2bHs1TykflpwlC5v9TAdvwD+40URT7XPUgCwctibbvLv/xoOe6FCYKA+enXz8Da9Xw26mZ8f7l1qczH9zcxNJW3L1eO9Vrf+f4ijY4NwO9+b4G/+HNXnvMMgUAgePnIssTVqSLLm11kCa7PFS9k7uK7P13jyVobgMdrbX755y6LyYIXmFP/P/etb32L//A//A/5z/6z/wxJkvibf/NvPvODLkkSP/zhD0/7El5rHq+2qbejhF+za/POfOXcJwt0TaHVtVne7KLIEjNj2ecKORzH495ik44ZBXi9vofjBc912C9mExRviKSm4Hxzd6GOZUcOFx3T4d2r1QsTEDxea8dFhydrLbxB4QJgvd6Ng5tsWuedq9VXeanYrs/CWhvXCxgrpzAtj1bXJp3UmB3LvRYNEQLBWfFkrU1tsNYbHYvb85U44JckiZShYhkqSeOpa7ckSUMxyXrNHHrN9XoPSZZY2YwEmo22jaYqb1Qy2PcDHq+1sWyPcj451HAveHNZ2+6xPFgXG40ePdNF12RaXYeP728xUc08c5KNLEtcmzk4aby00WGjHq3Desfi7cvl134STLvnsLzZQUJidvz5Zw6B4Lxguz73FhsEQWSE4XoB81OFQ59Ta/VZ2+5RykWCyHxGP9KZYue+AJHY648/WeEnD7Yo55O8f3P03OcXBALBxWHoPBDCeq13piKOXFrnC9cPdvn7yYNtFtYi05e17R5To1m6pkM2pTMzlj03OZm9Z6qLTLvn8HC5BURnP4CJ6sVweT5NdiZxXCQRxztXoyaNKC/Qf2PMFwQCwclpdCwerz6998uSxNgRJgVeBA7bo2utPus1E02VmR3PxUJSzwviWgpAp+dgWl48jWNxvc1Wow8M8q9XKiQMldtXjtcs9zqxu5Y8O57bJ7wVnA4b9V787zCEtZp5YUQchyFJ0oG5FFWRebLWptd3Y7HUYdxdbNAfTD5udmxMy2W9bqLIEvW2xZduiEllgpfP/aVmLBBvdx3evVp5rgHMylaX1a1ovTfaNqmERjalkzRU3pk/Xg0/DEOWNjq0e+fvHH1WHLe/SfD6sV4zIRx+/DqIODw/4MlqG8vxqBZTrGx2eLLWHgiMk6QSOpPVaK/cqJtHNmt1vCAWcAC0ug6W44mGYoFAcO4IgoDf//ESi+uRAOIPfrTCX/vzF8/sbnNXvddxfBpt68JMWRTs59R3y7/39/4e8/Pz3Lt3j3/2z/4ZX/nKVyiVSqf9Nm8spu3G/w6CEMvxz01xz/UCHiw16VkuxazB5ck8kiTh+wH3l5pxQ8r9pSbXZ4s8WGpiuz7VQpKZseGboSxLtHo27e7TIE8RDdeC14AgCGMBB4DjBnh+iKa+/M/30kaHzYaJrilcnSocaSLITuISIJvSWdzoEAbReNX3rp1NcWGjbrKy2UVRJK5M5o/sZv94pUW75wDwo7tbpAwFTVUwLQ9DU97I5gGB4Kg0unYkgvIDClkjGjk+SLI02lbccG5aHqoi7dvHAcZKKZ6stgc/51JrWWzUTdIJLU52mpZ7YUQcHdPh0XIrdvYdeYEGtKXNbly8Na0OqYQqpggJ6FlP4/tsSmd9u0e757FW75FL6/zwzgbNjo3l+Gw1TPIZnWoxxZWpwqHx8e7XJYS+7b3WhYYgCLm/1MD3ozPHvcUG710T45oFFwPL9uLzMgzH3M/CtDzaPZutRh9JkkgnVEaK+/emWqvPwnoHicilvpxP8L2f9nHcANP2KOUMAj8qqhi6IpoRBALBidi558gSpHc3rUswUnx1jeAPl5u4XgDAZ4/rhIChRfmBvh39BzA3kbvwjtd77/uvahqbuTsWJdq33kR6ZpSXyqQuThyezxhcnS5wf6nJj+5s8mc/mH3VlyQQCC4Ie88xO/vreaFrOjxcaeH7IZMjmVMRl1q2x8OVVtzgF4QtbsxGNXFVlUnoSuyMOVHNkNCfNtzu3hvDEPqOR8JQWVhrs93qk9BV5qcLQ9PFXme8PbXkB8vNN1rQcpYUswYf39/G8wISCZXRVxinvwzWar1YMLUjpCrnk/RtjwfLTRzXZ7SUYmokaljdfe8yLY/Ha23kQbP6w+XmoXmTIAh5tNKi2bXJpDTmpwqxEZ5AcBJMyyMMQ9ZrJr2+i6JIvHW5fOjna+8ZzLS8Z06yeR6bjX5s1GBaHoauXDih5nHigL39TQ+Wm8cWvgguPiOlFJ8+qsWPq4UU9bbFk7U2Ehc3h7S43omNoxfW2txdrCMR7XOPV9tcmcxh6Dt1/MPj+Vqrzx/9eJW+43FtpoimyixtdACYHMkIAYdAIDiXWI7HDz/foNmJ8raNtsWv/dnrqM8xlj9vVIpJFteje66uKuQzF29PEjzl1HdMTdP4G3/jbwDwP//P/zO//uu/zjvvvHPab/PGUswmWLMjxbyhKbFjy3lgZatLZ1CYWtvq0erazE8VMQxlqCHFcX0W1ztxwLdeM8lnjKEmxjCESj6JP3heOZeMvogQcgguNrIsUcgaNAcq9GxKR3sFgUC757C2Hd1L+r7Hwnqb67PPF9wVcwb9rWjtJg2VazMlmh2LbEonmz5ZY8B6rYvt+MyO5+Ov7UzTAPB8eLTaOnKSxHafimU8z8dTZTR1//cEAsF++pYXr5PdgkrYv34cN2qG6vcd1ht9qsUkmaQeuZFIsFEzaXQsitlEdO+p9bgyWUCWpQslYHi00op/9yfrbQpZ49hCWmfP307ciwQApVwidifOJHX+/Nfn+M6HS2T6KkldYaNuYrs+uZROvW1hWh6aqrBR7zFxiJtCKZeI3blUVX7hAs1FwQ+CWMABketPGIavvSOY4PUgndQwNCXeF47ScJtJaWzUTcIQupbNvcUGN+aKKMrTvckfNA+Eg6XxcKXJWDnNpYk8za5Nx3TiRgTYI/4SCASCY+L7wdA9R1VkvvLWGPW2xWQ180pdoBKGiutFOUtFkbBdj2bbIpvR2G72qRSixrWHyy2+dMO4sPHDQff9VyXOy2cMZLkb54SLuYtz9jtNnk7iuFix+JdvjnJ/qcmHn28IEYdAIDgyhazBylY3LuW9KiHhs3i40sJ2ojPXwnqb4nNye61un3rbYbKSQdcP/jnXD4Ycmvfm/iZHMliDr82MZgh31TiLOYPeYJ/QVJlMUqfRseLpib2+y9JG57lTGl8XPC/YV0sWnA2FbILZsRzdvkO1kHyum/9Fou/4rG93KeeS5DJR/PWsnPzCejsWn61u9ShkDDIpnWLWiHO12XQ0jXzn3vG8ZtTNhhk3xra7UR32eZM/BIKjUMoleLjcpGNGJix922Nlq8vsAQZrO1i2R6Pdp5hLRvW4ExiqvQ61rUerw3FAIWs8UyjpBeGePSl4KdcoOF9MVjP83HuTrNV6VPIJLk8W+NHdzfizcVFzSHvXs6YoeH70GU8nVFIJjcHD5+Zyvv/pRtwj+OnDbcqFZGwmNzOaIwhCZGHWLBAIzhmeF9IyXVwvOgu0ehK+7184EcfXb0+QS29jOT7XZ4rnqodccHzO9P/enTt3zvLl30imR7OkkxquF1DKGefKvcEfRHJd0+FffrSMIktkUzp/5ReuDjWtj5ZS+xS7uw9BALIiMz+Vj13KxstpJEmi13exHI9cWkdT3wz3GcHrx/xUgVrLIiSknH81Djd+EOx5HD7jJ4eZGsmSTmg4XoDj+qxt9xgbOFXsXcfH4fc/Wua7n6wBMDuW49d+8Xp0XX6AH4aYfRdZlo4leBktpWLV6Vg5jT9IuMiyRLXwejsLCQSHYVoufTty3HlWobKUS+C6Pq4fkklq+763tt3D9QIkCarFJNutPv/kX3yO5fgYqsL//RevMV7JMD9VZGY0x4/vbQGQS+vomszMWJZ8xiB5hAlA54Wh+2T4Yve8ajFJq2sThqBrMsVzVswWvBrK+eRgUpQbr4uZsSw/+HwTzw9QFZmfeXeMIHZ1jP6xW7CwF8f10VSZ6ZEskgzFXOLcTO87KzRVoZRLxIXS0WLqwiXPBW8uqiJz63KJettGV+UjjSjPJDWmR7P89NE2j5ZbPFpusd2y+MvfmqeYi2LdMAzjRl6I9jLP8xkrpxkrp+n0HB6vteJruDJZOItfTyAQvCEEIUP3nCAMuTZTPPHren5Aq2tjaMqRJ3Pu5d2rFR4sNQlCSGgSv/vhMrbjo2syX775dHJXMLhvXtQQ4qD7/qsStSYNlbcul2l1bVIJ7cJMYDxtnoo4Ls4kDoD3b43yT3/nLj++t4XrBa/EgEYgEFw8UgmNty6Xafcc0knt3JlJBHtye4fVRO48rvF//MljfD8knzH4m3/+BskDBHnphEY6qcVijN3TEcMwRFFkrk0Xh762Y1Y3UcnEzeGlXAJNlfflG3cen0Y8dN4xdIV8RqfVjRoBD5o0KTgddiZNx48PyTFeJNpdh//htz+n03NQFYlf+cY8k9UMsizFOVZVlSkNci57f++de8L8VIHtpkUYhpQLSQxdY2kjmjZ4dbpw6DXsXcNHrb0KBM/j0kQO2/UIQ8imNWRJOrRG9f/93bssrLVxPZ+3rlT44NYYtuuTeMGaXDmfYLNh4vsXt84+tOafU+MzNGVff5PgzWR2PMfseCSW8veIey5qDmmklKJtOhBG8dcHb43ycKVFEEb9iFeno14mVZGifgHPp91zSOjq8NRdwPOHBSE/fbjNdjOq0flBwFdvj7+030sgEAiOiqZIKFJkJA2R6ZMkXbzcp6rKvHdt5Pk/KLgQXJzOOUFM6QgNHafBo5UWra7NzFj2SI3m45U0rW40htD1AlJpHdcL+PDTDf7Sz8/T7kWJN8vxsRwvLiLm0vo+J25Flnj/1hj3FxsAXJsp0uzaPFhuQhjdiN6+XH7tm9EEryeyLFF9xeOJ82mDXEan3XWQZYnJ6rAj5vJGh61mn7Fyap9b5k5TmecHNDs2fdtDVeUTjU396O5m/O+F9TZr213GK9GIxW7Pid2nyvkE280+jutTyicOdb0ZK6fJpnQ8PyCb0vGDgF7fI5lQ35gR5ALBXpodm3tLjWgvHTSMHrSOJqsZ+rZHEIQUssZQw42uKbx9pUKv75LQFRKGyu98bwFr4GBjez7f/3Sdf/Ub8/HPj5ZS0TqW4Pps6aUnPE3L495iHU1VuD5TfCEV/fRINmp0DSMxxosku4vZBLevVLAcn0xKe6ViXNv1qTX7aKryyvckQSRw2r3Otup9koaCH8hoqozlBKQTkYByrJzCGKyrg7Acj08f1aKihATXpovnft9bWGtTb1tMVA8fY/48rkzlqfYiZ7Hz1iwiEDwPTX32ut6N5wV8vlAnCELGK2l+78NFZDkq3N5favLHH6/xxZsjTFQyqIpMPqPzaKVFwlC5MVuilE/Q6Ng4bkClkOSLN0dodx2KOYPcCSfrCQSCNxtNlRkrp1ivRef33Y1hL4rnB3x0d5PtZh9NlXlnvsrIEWOFjbrJ6laXUi7B3Hiecj5JEIT86U9WSRoquiajyDKtnsN4JXrO1KDJ66KiKjLjlXQ8eXV6JPtKRa1JQ71Qwv2zYGcy3o5R0UXhymQhblr67HGNd68ebSquQCAQpBJa7L573pjak9s7bI/6wZ2NuNmz1bX55FGdr7w1tu/nZFni5lyJds9BU+WhxjZJkpisZPjpw8gZ09AV7i81uD5TRJajnGAxO1zvLWQTpJMmvb6LokhMVNJ4fsCnj2qxe/jceO7I8dBFQpIkrs0UafccFFl6bcUq54GJSpp218HzA1IJlXL+5fQdtLo2vb5LLq2fyf/fjx9s0Rn0Inh+yJ98ssrNuXLccDs5kmakmIpNIierGR4sNwmCkHzmaW5WkoZruDdmi0xU0kfKN1aLSbaafWwnMtgZO2CtPlhu0Om5zI3njmTiIRBA9LmcnyrieeFz6/LrtS4La20AggC++8kqlVwCQ1eZqKaZGjn+dJhUQuP2lQo9yyWd0J7Zo/N4tUWzYzM9mqFSOF971e44oFI4PA6ASLTV7jmi1iCIUWSJiWqa1a0o53KeckieH7DV6CNJkRD2sOsq5aJate34ZFMaiiJTLabwg5BcWkeSpLhO4bg+P31Uw/MCkCKh4+5+xdvzFf7441XCEEaKiaifb0CtaeF4AclnTLQ7Ls2OxePVNtmUxvz0yU1jBALBm42hqXSI8raJc95HIXgzOPUqyo0bN45cHJIkic8+++y0L0FwCvzk/ia/871FbNennEvya794jUL28ERCKqHx7tUKHdOh1urHnwMjoSJJEvmMwYOlZuyOq2sy12dLJA31wM/MZDVDZaDiNzSFe4uNeCyx5wU0u7ZwYhEIXhBZlrg+U8R2opFguxuJn6y1+K1/+ZCe5ZJJafzlb13bJ/KAqDngrctlbNdHV+UTjVw2NCUuQkgSpBJRkGQ5XuxKLssSa9s9LDv6ufW6ye0rlUPdAHcXTWRZoZAVwZfgzWa71X+6lw6EWGPl/eFgIWvw3rUqnhdg6Mq+fVpTZQq7pkjsTXYm9xRrZ8dzjJZTyJL00gWYnhfwv/z+fRbXOkgSrFwf4Re/Onfs16kWkxSyOr4fvrBbEUDCUE/0/NPA8wM+e1TD9aKpTKbtHjp2W/DyyaZ1SrkEQQBIoCkyxWyCUjZBtZjkynQR5RlJ2GbHfuoqFUbrvnCOp748WGrwv//hI0zbI5/W+Sv/yvUXFnLsnDkEgteZ//OHi3z2qE7PchktpRgvpdhqWnT7LpIEhi6z1egzUcnQNR1aPYdc2kAictYyNIXb81Uc10fXFBRZ2tc4JBAIBC/KzFjUVHhacX+t1ef+UjNuvNLU+jObFi3H4+PB1ICRUpIPP9uIp1K4nh8XeJNJDUWWUOTo+iYqGd69FjWon3fh61GYHs0yUkohgTC/OQd0+1Ej4UWbxCHLEl+6McJ3PlziB59vCBGHQCB4LThObs/YY3qTOuTnZVl6Zt6l03dI6Ao/vLNOu+dSzCX44K1RvvmlmQN/XpElbl0qDdVtGm0rrp0AbDX7r6WIA0Re52WxU893vABDU15KA2q9bfFgqQlENcCbc6VTF3Ls1BV38PwgPkeoikwQEAs44Pk1kB2O87nUVCVqjN2Vc9nND+6u8y+/v4zt+VQLSX7tl26QE83hgiOiqUeryycNBVmCvu3T7tm4fsDiRpeZ0Qzbzf4LiTggOl8+64zZaFv89p8+YWG9zWg5zZ2FOn/uq3PnSqh03Bqf2JMEBzE1kqVaPF85lzAMufOkjml5QCSavD5bOvQ5e003nrUnN7t2JOCAqN7Y7A+JOObG84wU0ziuRzqh8OnjBoYexa2GJnNK+g26psP/9J17bDX6GKrCN9+f4v2b+wXWAoFAcBRCJPp2VFNFigxhX8QEViA4TU69g+zXf/3XX6nDl+B0+NNP1ljc6BAEIdvNPncXGnzw9vNHnSmKzM++O06t3Wdls0s5n+RbX5iMv9/sRiMH/SBgfaOPLMlMjjwVa+xld/HU2BPhHebALxC8SXh+wMJaG8eNGhWOMjkHouTDQUmKH36+werAtbHVdfjRnY0DRRwQFSg0VWZhvYPt+Md6/938ha/P8dvfXcBxfb56e5x8JnoNTY0SyDuH4J2GY4gas03LFQkUgeAYJPbspXv31t2oinzkSREf3Bpjq26yst2lWkzxc1+YOuC9VYIg5MlaG9NyKeUSR5rgs9kwqTUtEobCzGj22IKxRsfi04c1vEFT+3d/uv5CIg6I7knaaxB+9Pru0P203XVe4dUIDuKbX5ik0bGptfpU8kkqhQQbdRNVkUkk1GcKOCBa142ORceMxhufZFLWy+C7P11jbeDY3eo6fPJgk9GvzL3aixIIXjGW7UXn8TBkspoZcnv7/Ek9jtXrLYsv3azS6jnorsy1mSL5TCLe71u9aCz6jui51bUp5RIosvTGO6MLBIKz41n5ulbXZm27hyxLzI7njiSY8P0wbryCaJrcs/iDj5bZrPcB+OHdTfJpPT7PrGx1YxHH194aZ7Nusl7rUS2m+DPvTb1Q4X3n91EUidmx3Lkp3sPrIUZ5Xej2B5M4khevOe/LN8diEcff+uW3X/XlCAQCwalw1NzeL34wzW/9vku75zA/VeDt+QpBELK00aF3xLxmEIS0uw6dvsvKlkkQhvhByPc+3eCbX5p5Zl1nb93G0BWQiI159uZ3BYIXQVFkdGBhvY1l+5QLiTM1TmwN+gMAwhDaPefURRxfujHG6laPJ2ttilmDn7k9zmcLTfq2SyqhMTex38ToODWQoyIfknP5/ifrbDajM0un53B/oc6XRBOq4Bgc9vnaIZ9J8vPvT/M7310gk9SoFlOEYYhp+1SLz98E12s96m2LVEJjZjT7XKGX43j87oeL3Ftu0jVdLNfnymSBtVrvXIk44PWp8V0Uun2X5c0OsiQxPZp9bfLR5y3n4npBLOCAQU3gGOytRQRBGOe79po/HdRXkEqopBLR/9u/8LU5/s8fLQPwzS9OoSin87d6sNzk0XKLnRThd3+6JkQcAoHghXF9D98P8PyoX8bzAzwvQBdnbcEr5NSjpL/zd/7Oab+k4AxZr/VYr/XQVIXLk/k4cO7sau4LXJ++7R32MkMoisKvfvPqgd/LpDTaXYetRh/T8ujbHo9WWiQNdcgx/yCmRrKEYRRElnKJeKxpEITPPDwe9j2B4HXhyWo7nnDT6TskDfXII8sPWiPhnp85aAXtft7CWpta68Xef4fZ8Tx/+y+9M/Q103J5tNLCdjxkWaJaSFHI6jQ70cFTlg8WoQgEbxJd0+HxapsgCJkazTxXRDVRyeAHIX3Lo5A1Ts15W9cVfvVbB+/9u1nZ6rJZNwfX7qJrypBjx146psOT1fbg31ERc278mBMj9tzEdmuN39Q4YWe60U5D3PNiMMHLJ5nU+au/dAOAjmnzv//BY4KBlXSzYz/zeUEQRht5CPLOh13au7Mfztp2dD7QNYUrk/kz32v3GgCE4Zu3JgWCvdxfasZn8F6/wXvXRmLx1s7aDsMQ1wvwfPjW+zN4vk8hk0DXFWbHIke9dEKj24/O30hQzkd77pu6/wkEghcjDEMer7ZpdW0yKY3Lk4VDBaUH4XrB0EQN12vy1uXyoc8JgpBSLsFENUOzY6EqMvOT+Wf+fLP9tEitKzKO68cNWaVd5yRdV/grv3DtyNceBCGSNByzuJ4/9Pt4Xoublw53ORS8mXTNSMSRTl28M9d716oossTyZpf1Wu/ci8MFAoHgNMlnkvzN/8tbQ19b2eqysSuvmdDVeAJHGIYsrHdotC1SCZUrUwVURSaVUONcZJynGVRgnqy1qe+pqyR0dV/ckUpoXJnMR87DusL0aHTeE+c6wUlZ3OhE+QKiPHzKUE9dWLFDOqGxRf/p4yPko8MwJAw51uf8L/7clfjf67VetJ6QDqxz7rBTi/T8gPFKZmhCcDjIx56Wgenu1wmjL5zK6woEe3n/5hgT1QzLG116fZdG12KimubyIWdq03L5+N4WT9baVApJ8hkDRZbifedZdPoujuOT1NVIxGH7gzzk8U0f3xRO+95yHgmCkLsL9XhqfN/2xITHM0JVZAxNiY1P0sfs07m/3MQcGFC0ujbtrsN2s4+iSFyZLDA3nqPetkgY6nMn+dy4VObGpcPzfS+CFO7vYRIIBIIXRVMjo4SdGockHe/MIRCcBaL79Q3DcTw6fZds2sD3AxbXO9HX3YDHqy1uXSrjuD5XJvPUmn1cPyCX0pkePdiF/7jMTxVY2+7RMR1KuUR8E7Rd/7kJG0UebtwMw5CHKy3qLQtdi1xHdxrHu32Xe4sNPC+gWkxyaeLZB1KB4KIz5EQZRo+PIqJ4tNJiu9lHU2Wuzz5dP1++OcbyZhfTcskmdb5wYzR+Ttd0uLfYxPMDRkspZsdzWM6e93eO9v5hGGI5UVOFdsBosserbUzLi8cbT41k0DWFtVoPx/WpFlNHdjrYafg4qwS0QPAsHC+g07PJpg30MxjB93C5Ra/vEoQhj1Za5NLGgetpB1mOXGJfFZbzVBS61ezT7NqU8wnmpwoHTtWxnWGn3d3PPyrFTIJ35is8XmsjSxJfuBYlCRfX26zXTBRF4up0MRaHvgnomsLNuRKbDRNdU0Qzzjlj9/7Y67t88mAby/XQVJlyPkkpv1/4tDv2lWUo5hKxy5XjBvt+/ln0+i5LG9H5wPUCnqy3ufGcscsn5YO3x9is9+k7Lvm0wXvXzmciX8QSgpfJ7v3O90M8P0CRo7j3Fz+Y5X/5lw/wghDCkJFiVBBtdGxURUF1/EEMHQwahqR4PPpG3aTdc3APOCfv5AryaUOMDRYIBENsNvpsD9xiG22bNaP73KLtXlzPH56o4Tx7okZvENe4XkClkOTLt0bZbvYxnhO3jlVScZ5ztJLm9uUyG3WTYi7xXMHIs1jb7vFwpYkqR3mT3fHV7t/nRc4pgldHEAS0ug6G/tQt8qx4Oonj4ok40kmNW5fKfPJwm+9/ts4v72qKFAgEgouK40YxyYsYVhycp4zymfW2FRvXtLoOK5tdZsdzXJ8tktAVHq+0aHQddE3mg1tj+18vjCYidEwXWZKYnyrEAhGIGmF3mmHDMOTBcpN6y9pX2zkuL3NPFJw/9k65s12f0+kG2M/IQBjRs1zyGePAWsBuaq1+ZF4VhsyMZl8of227PpV8Egapj2edQXZqkRCZ1uXTOglDZbNhsrAWGUzNjeepFk/ekP61t8foWW5U4yykuDpTxPV8PD/c51C/M73keX8rgWDnPLp3KuZ4OY3rBdRbFrfnK1QKh3+GP36wzSePajTbFo2OzbtXq4ee3XfIpw0yKY3RcgpZjkxdf+7dySFBlOAp280+j1dbAMyO5850CtKrxA+CWMABh09WFZwMWZa4canE2nYkXpyoHG83rzX7rGz1CMOQdEJlZatLz/aQkHDdgC/dHI338aNwFvvXlekCV6bybNR66KrKV98eP7XXFggEbyISKUOLhKdA8gXP0wLBaXKmGZnf+q3feu7P/Mqv/MpZXoJgF82Oxe98fxHH8UklNX7mneHAxvdDaq0+DwdNoNdmiiQNlfFKhplTavhUFZnp0SwJXY0PJ4amvFDjZLNrxy41jhuwvNnl2kwRiBozvcEkka1Gn0ohSVY0XAleU6qFJL1BUdjQlSN91ltdO27CcL2AxY1O3KQ5O57jr/zCNTbrJuOV9FBydGG9E48U26iblAtJqsU973+E9RwEIfeWGrS7DrK8vygBxO8TPw5CErLEZPV4B88/+Gg5auSQ4Ms3xrg+VzzW8wWCF6VtOvzud5/Qt31ShsovfnX21Jt/t5om67WoQJjPGPhBgMb5bbysFJI0Oja27dHu2cyM5vD9kIX1Nu/M72/czmd0dE2OmtCl6H53XFRV5le+Oc/dhQaaKnNtuohpufHfbef9b1+pnPj3u0ikkxqXkkLket7Yuz9aTiTeyCZ1bNcnl9YPLH7sjn0tx4cwEutIx1w3+/Ze7+gCkBdlfqrIX/4Fle1mn6mRDNVzWLT4/R8tsbTRFbGE4KVRLabiBqBcRh8SLl+fLfHX/8ItNusmfdtDVWQsx4tHiduezx/8eIXRYoqQEFmS4nh+aaPD1EgGSZLYavQp55Pk0jq1Vp/vfH8Jx/PJpDR+8YM50cAjEAhi/L3xgX9877ukoZJJafFUgsMaoJY2OvF04O1mn3I+cSRzlp99d4K7xQaOG3B1ukgqoXJ15sX3bNfz+cHnG3Hxudd3+YWvzMS/TzqpxbmQ02joErwcPC/g9z5cjF0lf/bdyec6y56EXj+aEJO5gJM4AL7y1mgk4vhUiDgEAsHFZ6vR5/FaC8IoR3mYG/lBVApJ6h0LwqjWWdw1Xdjdkz9xB/GTpirMTxf5f1TT3FtsktQ1rs5E77u7riPJ0eRVRZYJwpCFtTaF7MEmF7tro643XBs9DkEQ7Ymb9T6SBD/z7gRz4yJX+CZRLSRp95xBHlEmlz5bscBxGkB3po9DNDGkUkjGU/aOSjmfZKvRj6fWPGsi+EG1yCCI1uHALJ8nay0qhcSJXfPfuz5KLpOg3bOZG8/huj53n9QJQyjlEsxPFwD4wefr3HnSAOCty2W+cH3kRO8reH1Z2eqystkFYHIkM1RD3272+dNP1vC8gOXNDr/0wSy6/ux839pWF11VkGSJjulgOS7lwsHrZjeqKvOLH8xxf6mBrslcnykiy+e3TvkqiSadtnbdW9qU88ljTzu9CGiqQiFrxJPlX6S+Kzg6hqYMGSIfh77txdNhupYbCcNCCAmHzVyPwI/ubvLZoxoAN+aKvH9z7IWuaS+phMZ7V6s8SumkkhpXp0WNTiAQvDiSJOEHIQzm9UWiQzHvR/BqOdOq/N/9u3/3wK/vPuAKEcfL47PHdZxBkGX2XVY2u+QzOq2uAxJMVNMsb3QhhGxKZ36qwKXJPKOlVOyE/6L4fsB2y0KWJCqFBNVikmRCxXY88hnjyImXVtemb3sUMgaE4Hg+vb6LpsrkM08bY8M999a9jwWC14mRUopUQsV2/WOtpyEGa8T1fGoti6ShHpoU9IOAds+l1uwzM5YlldDi9ex6AdvNPklDfabCvmM6tLtRITsIQla2uvtEHBOVTFxUKWQN0i/QSNZoW7ETJyH85OGWaLwUvDQ+f1SjP1Bvm7bH50/qfPnW6SQrDiIMw3M/ereYTfD25TL1toUiy7HT9/p2DwmYGcvF941628Jxfa5OF7Ecj4SuHmnM+kEkdHVoTK/j7Uk6iThBcE7Yuz9uN/tMVDJMj2bpWS7XZ4tUC1HB0/MDai0LVZEIgpCO6eC4PmEI89MFSjmDVEI7lhtjNqWTS+u0e07k2HNM4eSLMj2aPdPmuZNQa/UjAQeIWELw0pgbz1HMGgRBeGA8PVmNirJBENLq2qxud+maLlvNHo22jeuFVApJFEli9yZXKSSHYoWd4sznj+vx3tg1XR4uN7h9gLhSIBC8mVQKSTYbJo4boCryC7lpSgNH6cdrbTRFZmrk8Bijazq4fkAmuV8EX2v1cb2Acj4xlK+UZZmbcy82ceMgHNePBRwAWy1z13tJ3Jgr0eraqIr8Rk31u+isbHVjUxPfD/nk4faZxaGeH8Q5gYM+yxeBD94a5zf+t0/55GGNrumIqXQCgeBCs7zZiY9H280+45X0Puf7wyhkDd6+XKZve2RTOvousX05H8VLlu2jKNK+qQGphM5714brLbvrOoam8Nnjevy9kBDL9mh2bZKGOhDfW/hBiCpLz6yNHofVrR6b9WhPDEP45MG2EHG8YZTzSRK6iuV4z53w/Up5gdy9abl0TYfZsSyyLJFOakNTCpodG8vxKGQNJqsZHq0O1yLD8Onb+kFA13TZbPQZKSZPXIPZLSD7+P5W3MNQb1t0+y66psQCDoBPH9e4faUipqYK9hEEYSzgAFjZ7DJeTiMPBAE/fViLTZpaXYeHq61Dz8ylfILtloWhKmiaxJWpAsXs80UcAKnEcA3udWBvf9N5r7+eR65OF2h2bCRJ2tcHIjg/jJRSuJ6PH0Axa2CoCmu1HrIscWlyf76kYzr0+i65tD5Uf/S8gM8e1+LHd540eOfqCPop7F9Rfk7i8mQBiOJYMalKIBC8KK7jEYYByuBILxHieQHqCXujBYKTcKYiju985zv7vtZoNPjOd77Dt7/9bf6L/+K/OMu3F+xhb/LF0FWuzRQxLQ9VlTE0heXNLrVWHz8IKWQMKoVkXBDtmE7s7hISoqkKY+X0c5XhYRhyZ6ERO8q0ujbz0wUySe1Yo+Q3GyZPVqOxpctyl6vTeda3e6zXzX3K4pmxLPcWG/h+1LwiiqmC151MSj/WmONcWqeUT1BvWaiKzNRoFs8P+PRRLXK8B0bLKTRFxvUDRoopkobK9GiWewsNnmx2SWgKD1daLG10uD5bolpMYtkenz6qxQ45lyYOHjG8+77R7tl0TQdZjlT0o6UUCV2lWkySy+j4fkDSUF8oOaKpciSeDXc9FgheErsLeQc9Pg0qhajQEoYhhqEiv8Ik4uPVFuvbParFJPOHOGDsNJX7QchGzWRxo02zY7PZ6PP54wZ/4WfmaHRs1rZ7QOQC9vaVyosJ1A65htFSio26iSxLzIw9v2nHcTx++riO4/rcnCuJ5JDgTNgbV09WM/H+d20mEnAEQcjqdpfPn9RJ6CqGpmBaLhu1KC5O6ArFnIEsS1QKx2uylGWJ67PR+UBT5TO5bz0L3w9Yq/XwgzCOBc4Kzw9Y2+5hWi6KLJFO6oyVUwfGGpqmDMUSukjgCF4SO/uM4/qsb/aQJInxShrPD/jkwTZBEPLW5TKPV9ssb7Z5stah1rLQVIl0QmNls8PMaI7JkSwTlTSyJOH5AfcWm3h+QCmfiN9jbyOAaAwQCAS70TWF21cq9B2fhK68UFweBCF3Fxr0bQ8ASeKZ0zVUVWKjbuIHIa4fkDSe7r2PV1p879M1HC/g0niOr78zgXKK54TdGLpKtZBkq9kHCcbLGTYbJn0ravYyNIWO6aAqMumk9lo6Z76O6NqePU85u/9vO5NngBc2JHjVjFfSzI5lWVjv8IPPN/jml6Zf9SUJBALBC6MoEq43eCDtz8EchWeZZWiqzFuXK1i2h64pz6xDtHsOjXZkojVSSg3VdUq5BHcW6miqzO0rFT59HDXfNrs2rufjeAG6qlAtJKm3LNo9B0WRXlh4YejD+Y2TmvkJLibppHYu45S58VzsVj89mj3WGaTbd/n8cY0wjHobRoopJkcyca5xvdaLzd9Wt3q8faXMu1erQ7VISYLZsRwLay1Wtnrk0joLa206PYeJapqtZh9NkRnb1TC/tNFheaNDIWccWVyuKjI2Tw2nVFlCJrpf+YMJiIosIYYaCA5CkqJ8/k69oNNzqBQScZPz3r1o7+NuPzJrNHSF0VKKci6JIjfpWS4lI8FazSSb0innTzZBIQxD1msmjutTKSTP5T1nL/v6m3o281OFE7+uJEnMjud4shb1PM2MZl/rXIIkSUOTywSvjnrbotNzyKS0fWvac33uLjQIgpDb81VK+QQ9y0VRZMq54Z9tdCzuLzUhjO5Bty6V4zUty9GeFe9fSrSnnQaKItN3PDo9B02VKbygiFkgEAgAEoaGH4DjRvcrPwxJHMMUUyA4C85UxDE5OXng195++208z+M3f/M3+Yf/8B+e5SUIdvHufIVGx6Lethktpbg+U0SSpKGDkixF4xF9PySZUOOkSN/2uPOkjucHPFlrk88YVPLRqN+DxvR++qjGylaHUi7BW5fL8QEHosDuRdgZtQdR8XdxvYvl+uRSOpIEixvd+FCaTel88fpI5EpzRsVcgeAis+OC6Y0HKLKEJEm0unYs4AD4/FGdUj46WNdaFu/MV8ildd66XMLzAyzHY3mri4yErimxk++OgAOi9b5XxGE5Hut1E8fz6fQcVra62K7PvaUmN2aL1FsW71ytosgShqbACRpIM4N7wU8f1VAVma++Pf7CryUQHJe3rlSotSy2W5FD01uXTs8VdocrUwUerbTwg5CZ0ewrEyotrLX5449XAXi40gI4VMgB0VQO0/IGzeLROm+ZNt/7dB0/CMimdBRZxnEDen331EUTs+M5pkaiBnn5CEnSP/jxCuu1yH13aaPDv/pzlw8dPS0QHJfd+6MEuF7UZF0tJBkppuIGxUerLda2umzUTBQ5SvrX2xYzY1k8P0SWJSzHp9F+sZh77/ngZfFguRlNCCSapHV7vnpmBYz7i03qbYsna21URWJuPIfj+cyO7R83ndsVS+iqzFdvi1hC8PIIw5DPn9SxBxM1O6bDTx9us7bdw/dD/ujjFVIJDVWV6dsemioxXk7jBSGOG5DQFWZGs0OCrC9cr+47J793rUqra9Po2IyXo1yBQCAQ7EZRZDLJFz9rWI4XCzgAGm2bSxMH/2zf8kinNFw3IKWr9PoeuhbF3X/44xXuLzcIw2iiwrXZAqOls5kcpioyX7o5ypO1NooskU1psbnM6naPIAzRdvKmlsf8dOFMrkNwuoxXMlyfLfJ4pU0yofCVM5yWKctRA2A5l7jQjTkfvD3OwnqH7366LkQcAoHgQnN5Is/DQR51qpp5rnFFx3RY2+6hyBLTe85Vu2l1bTbqJpoqMzXy7Pxsr+9yZ6Eem0T4Qch4JZrY4fsBHdOhnI+cvpc2OkiSxHbLotG2eLTSJGFojBSSbNZNrk4XqBaTyJIUnxePS7WY4q3LZe4vNjEMhQ/eOrs9USA4LpVCklIuQcjxBVetrh0LONa2e/T6Ln3b48pkHtP2+OxxDVmSyGcMvHjtJXEgrrVMVNKMllJk0zpBQFw/2GqatHp23KBqOT6XJ/Os13r8/kfL0fpeAc8PuX2l8txrvTSR4+FyC9cLmKimSQymA3317XF+8PkGsgTv3xxDFioOwQFIksSVqTx/8vEqD5aaFDIGf/KTNRRZZnY8x3vXKixsdNis9SjkEsiSjOv5aKqC5US9Pzs1fcf18fyAyWoGTVGQZQnX9am3rROLOBbXO2zUo9raVrPP7flKVP8/x9iuP9zf9IK1loMYKabiv+lFPicKLg6NjsWDpSYAG3UIAjBtF8v2qBSS/PDuZrR3Ap882OJrt8e5MVdCkiT8YPi1mh07jmXDMNpzn4o4ZL52e5wffr5BEML7N0dPzSxKV2X61lMRx1kZuggEgjcDx49MEoIgRAIs28dxfHT9fMcngtebV9Z59rWvfY1/89/8N1/V27+R6LrKL34wB8CHn63zv/3RIwoZna+/MxG7T3h+MOTaYjs+alKm13cJw2gEmu9HY3whUujv5fFqi4/ubgKwWe+jKDK267NW6yEx7LQXBCFP1tp0TIe+7ZHQFdJJjUsTeTbqJj+6swFEAV7SUJ8KOaSBc1r4NHES7moch+jgepZuagLBRaVrOiysdwjCqOl7pzE6aaixYweAHz49lXlegOX4ZJKRK7euKzS6FoRgGE+n9YyWhh2/D2oC/cmDbRbX2oMkqo1puazX+qiqRDmXIJXQ6PVdFtbbPFlr0e25hGFIIZfga2+PH9ux4dalMrfOoHleIHgeuirzr3xl5kzfI5vSjzWi2PcDHq+2IyedXILp0eEJFJt1k/V6D11TuDSRH0qkrm13+fafPMFxfb58a5T3bz4t7G02zOHXafSHRByNjsXyZhdZipqldU3m3mIjvt80OhaFtEGjbRFO5OlbPqZlMlHJIMsSCUOlb3s8Xm3h+yET1fSJE8fAsZI8262nSVrb8en0XcpCxCF4QTqmw8KO29JYjlxa5/5Sk77loasKbdMhk9DYbPT5ox+vUsgZfPWtcS5P5umZLqoqI8uRq/7qdpeu6SJLEqoqEQwSp82OTbu3QCmfZKyUJghDaq0+CV3l8mT+3AmdO7ucih03wHV9FONs1lin72C7HmEY4nohvh8OOSXvRcQSgleF6wVDDTmbjT6P19o4js9mo4/v+xSyCbZafWzbJ5fRmRrJUikkmB3Pcnu+QrvncHexgUTkZClJEk/W2gRhyNRIhmI2QUJX+aWvzr2y31MgEJwdbdPhTz5exXI8rs0UT2U/OyiOeR66pmDabpQnlCWuTD/bMbrZdWgPhJ2W4/Fe+DTft17vYTtRrsL1bR4stdioPz++6fZdFnbufdUMrZ5Dq2uTS+vMjuWeKequFJJUCtG5Y6fgDeB6Pn3bo5hNxH8TwcXhy7fG+PIZijd2yKV1/t//z69RuOBTHD94a4z/6ffu8aM7G3HTl0AgEFwEGm2LP/3pGq4b8NblEvPTxSPnUT0/iB2JIcpT3LxU2vdz6/Uef/jRChISo6UktuujKlFNtZA1KOcSPFlrEwIpQ42b3iCKH8aJRBy26+N6AcqgUdtxfR6vtXi03IriGykS+bt+gKErg8b26GdTyRfPnXzh+ghfuD7yws8XCI6L5wc8Xm1hWt6B9YndyLJEu+ewuN6ma7pIMmSSOnPjuX21x9WtLtuDvGchG8VeOyLynR6IHfMp2/Z5vNammDMYKaZ424jOSA+Wm3F+sGM6vHu1SkJTMHQF14vOIIosxwKOnZ/76O4mf/rTNbYbfaYHRlvbjf6R/h6phMbt+f1ij0sT+WdOLhQIdlPMJijlEoyV01iOx2bD5MPP11EUibsLDVQ5moSgKjKL6202BvW/hfU2lu1TzicoZhN0TJdUQiVpaMiyhSxL0dTJ57hSO47HH3+yRqNjM1lJ88EBZoq7z8tBEGJa7rkXcWhqNFVrZ+3vncLlej6PVlrYrk+1kIpFmUdFiDcEZ80nD7Z4uNIilVD3mZf99NE29xcbWI7HSDnN0mY0ySckikn9ICTxjDgzWgtP97hkYvj7c+P5F54SdximHcUNpUGfkO0eT8T8YLnBpw/raJr8Qv1GAoFgmMN6ii4Cfcum3/cIiY7opuUNmVULBK+CV9Z5trKyIlwDXhGPVlrcXWgAYPZdPrqzydfeiezvcmmd2qBJUVNlEgOVWSapRYc1TUFVpPigclChdvfEDIBWx0bXFAxNQZYkdh9J1ms9tpt9uqbD6naPkWKKQjZAkdt8/7MNvMHB6Pc/WuGvfGseWZbo2x7lXIJkQmW9ZtLs2GiazNWZwmn+mQSC15b7S8046XB/qckXro+gyNE0jeuzRTbqJroqU8wZNNrRetZUmeTgfqAoMjdmi2iKhOeHVAaHnHzGIJPSmZ8uUG9bpAz1wKTF45VW/P7LW11USUaRI3Wr7foYmsJWw+TeQoNWx+LeUpNMSmPKC/ijj1f4iz935WX8mQSC15LlrS71gWPM2naPVEKNxRCm5cYjfC3b58lqi+uzT4uT/8cfPY6f+3/+YIm5iTyVwXPHy2nuLjbiQuRY+ena9/yAh8ut+ODzYLnJlalC/PjadIHFjQ6ZpEa1mCSX0skktEhokk8wWkphaAo/fbiNaUWFl0crLbIp/bmOeafJaDHFylYXiIqu2fTFbsQRvDrCMOT+YhPP39mLG3zx+kgskoZoPSZ1lc8f1TBtDwn4009WGSsnyWV0bNdnaiTD2nYPTZW5Ol2k2bUZzxloiky9beF5AWvbJpbt02zbSDKkDA3L9lna6Jy7QmAurcfnCENXznR959I6rhvExShFkY7UgCoQvGw0VSaZUOkP9j9Dk8mndR4323h+gKrIbNR6OF6Apir4XoCuydy6XGJ6JEsYRvH+zp57b6mJIklxkePhcosvXNOFc5VA8Brzpz9ZZbsZFVd/dGeT0VLqRGLoZ8UxknR4A0IYhqiyjKEN3PIOqYkUMgadXALXC8il9aHXHq+k6fZdwiBE11V6g6l+z4tvHiw14smjP7yzQTqlo0gSW04fQ1eYqDx/mkcurcfnIUNT0He5CYo4QvAsvvgaNMbOTxUo5xPUWhYf39/m/Zujr/qSBAKB4Ej88U9W4zzDdz9dZ6ScJpc62p7tuP5QE8fuiWI7eH7AvYVGLLxfq/WwXZ/cIGe4UTN5vNKK66ntrjM0pWN3/GDoKoamxGc1y/WxbB9Dj+KcfEbD0LS46X2nBmNoCpPVs5lKJhCcBSub3bjuuLbdI5PUntlIGYYh95caOK7Po5U2kgRXJvPcX2rw3rWnMVara7O8GeXtLTsSUl2ayKOpMpoix6IOVZXwvJCAEE2VkSQJQ1PwBqKM3evc90NcLyBpqNyYK7G61UWWJUZLKe4sNOL+BdP2eLjURJElepbL6naX2bEco+VhwzuB4CwZq6S5vxxNng7D6Lz6Rx+vYmgKPcul0bYZLaXomg7rtchUtd11aPccgiAkOajnj1fSJHSVTErD0BRKucRzxQk/frDNymD93V9qUs4nhgzeIOof2KntKYr0XGHIeUCRpaG1PzUyvNcurHXiqeJLGx0yKY3sEWMMgeCsWa/1+Pj+NgBd08VxfUaKT9fyo+UWjUGMvLDaxvP9yNwkjIyUb8yWMW0XVZGZ2BNnjpZShGFIt++STxuxuclZkx70K+7E58fJw3VNh+/9dJ0djxjRbyQQnIzn9RRdBCRJ2VeeOK3JQQLBi3KmIo4PP/xw39ccx+Hu3bv8t//tf8vXvva1s3x7wTPYm2y0djl7XprIk05qeH5AtZiKmzkShsqtSyVqLYu5sSx+EKIqMiPF/UmImbEsdxbqkROFFD3eblqMDxo6d98InUGSw9tx/g+ix5YbxAkQiKYAhKG0Lxn55Vuj1FoWCV2lWoyK0L2+SxCG4qAkEBzAjlvTDkEQEgQBihw1SmZTOtmUjuv5dE2XpKEB4dD9AHbcYarMTeRpduyhROtuFfxBpBIarW50MCzmkmiKhO+HhGHIlck8Ny+VeLIWNaZ5QUgQRmMdgzAcul8JBILj43rBMx/v/Z6z57HlPI0fwhB6phOLOKZGs3zzC1Os1XpUi8khlw0/CIeKnq4XkDLUuCk1Gq86wXglzacPa9hulCx663J5SAyy+/rCMCqUvkwRx8+9N8lH9zYjN+Cr1aGmLYHgOOx8fnfw/WiNlPPJuMlyvBxNznC8AEmSSBgKYQi2E0RO+kQF/clqmlor2lOrhSQjpRQJXWFxvcPSRgcAzw/x/AA5fNoAuXe9nwfmpwpsNkz8IGSkmHymI/ZpcHW6SD5tMlZJIUsS6aRGtXDy6T4CwWkjSRI3ZktsNkwkCQrZBLIsYzs+Sl1iaiTLj+9vktaU2HhhpJhiZiw3aEQIhvZgzw/YHU0HQYgXhCgXyyRHIBAcg71n6L7lwQl0nM+KY5TnTMJ1vSh2Hx+IJfYaWwVBVADWVJlqMRnnLnVNJrMrv/fNL06R1FVsz6ecSw41Yh4W3+z+nuMGpIIQBtd81LhopJRCUSRMy6OYNdAGBhTPyo8KBK8LsizxlbfG+Bd/8oTvfbouRBwCgeDCYO/KZRKCbXtwxLphQldJJ6OJ4QDlwv56h+cFaJqCpsm4boDnh0NxSxiG2I4fizg0Veb6bJF2z4mNdSzbw/EC0kmNm5eis5+qyKxtdVk3VKZGsvQsl2oxyXtXRzB0hZFiEk1VDq3BCATnlcPqE3sJwp3zRrSedpov9z5n9/kEwPF8qsUk1WKSrabJdqNPtZhCliUeLEdGF4WswcxYFl1VcL3ozFTJJ9moRxPH00ktdhROGipXpgrx69+aK7Hd6qOpCs2OxUMgndC4NBFNP/3q7THmp4ab2AWCs+TSRB7fD/nup2uUsglyaZ12r002n6BjOsiKhCxLGLqKJMv0LQ9VkSkXEhQzkVBjZyrO7HiO2fGnrv2eH9DrOyQN9cB6nLWn7+gg0ePUSAZDV7Adn0oh+VLreidh79rfzXHuZQLBy2bvOpTlpzFoNqXzZL3Ndqs/+J7EtakibdMhCGByJEMhp5PxNRRZGhIg77C7dv+yMDQl7lfc3Rt4FCzHY9eQX9FvJBCckOf1FF0E5DASazvuwEBPV7Esj0xG9BkLXh1nKuL463/9r+9zYgsHu+PXv/51/t7f+3tn+faCZ3BpIsvdJ3VM20NRJG7MFQmCkEYncpMbLaUOdNBLJbR9owIPopxP8ue/NsdarUcln6RaTBGETeqDCR9ju9wnRopJaq0+2aRG21DJpvVIzV7N0GxbPBqMNr0ymT9Q9bb3mhbX29xfahKGIbPjOa5OiySJQLAbSZIYL6dZ2+4BUClECf/dmJbL508iIZaqytyaKz1z/NmO6OM4vHetyr3FBq7nMzuWxXI9wlAin9Z57/oIuqYwWkpRyiVodS0SukIqqaINJoAIBIIXZ7SUotmxCYIQQ1Mo558W+7IpnYShsFEzUVWZy5PD3V3vXK3y3U/WABivpPY5z0yNZpk6YPy5oSmU8ok4DhivpJFliVtzJeptG0196oZ1dabI4nqbdFLblwQar6RZXI+a0gtZg6TxcgfKbTbNgYuRylrNJJPSn+s4LBAchCxLjJZTbNSiomDUEChzaSJHIWsQhiHFbALL8bBsj8crbVRVZqycJp/R2Wz02WxECdaErsQucooiDQr5Muu1HsWsQbvnIMsShWw0oSMShUT3gvOGLEunlvy1XZ9W1yZlqEMNFDsosnTsEecCwatCU+UhM4P3rlUp5QyW1jv4QYiuydxdbOC6PrqsIMvwyYNtrs0UyaX1qGlhcM8YK0VNC6tb0VmglE9cuDHHe/H8gEbbRlWll+b8JRBcJG7Olfj+Z+sQRmv+qHttGIY0BueGYi6BMhBXPiuOeR5JQ6WQNWI37PFd1xEEIXcW6nTNqElybiLHjbkStuNTyOpDBePp0Ry5tIHjBmTTGvcWG1i2/9z4ZmxXHmRuIofl+HhegKJIxxJylvNJyruOSVMj+88/gvOB5wfU2xa6qsTnTcGL89W3xiMRx0/X+H/96jtnKrgWCASC0+LabImP720BMFJKDuVBn4csS9yYLdLo2CjKwWeNhKFSyScgDOmaLjNjWSZHstx5Uo9yr7rC/HSB2iAnWi0myWcM8ploX6q1+jxcaUEIqYTKzUtlpkayNNoWhZwBhPQsj5Sh8TO3Jxh9BQ1zAsFpM1JK0eza8Rp51hQOiPJ3I6UUm3WTTEpDVaLpGXtzevlMVCvo2x6SBGOlNH3bY6thcn+5QeBDs+Pw3vUqty6VKWYNtpp9VDmafloYrMnZ8Ry5tI4/OAM9K95JDARW0XvrfP4kOstkUzo/++7kUAO8QPCymJ8uIEnEe87seA5dVdBUmffmK5QLKZIJleXNDg+XW1iux+xojolqhlI+yWbDpJRLoO4639uuz2eParheNNH6xlyJTHK4V+jaTJGVrS6+H5I0lAOnY0qS9NoZH4yVU3T7DmEIyYRKXkznFJwjJkey5DM6ra6DJMGN2dJQDPqVW6P0TDcSPRaSfOFGlcfLbYIwZHo0y8OVNvcW6miKzPu3xs5NLe2o/Yp7KeUSjJVTrA9ymaLfSCA4GdmUTialRbl8aTjPf1EoFTNMj6VZWG2DBJcnckLAIXjlnGn322/+5m/u+5phGExOTlKpVM7yrQWHkEro/F9/9hJbLYt8WieT0rmzUKc9GPlXz1kvLH6otfqYlkcha3Bzrhx/fXYsS+AHqKocu+5F16LxznyFvu3zxRsj2G5AQlfQNYWvvzMRq9uP2mj243tbtHvR79HuOcyN5/Y1qAsEbzrTo1lKuQRhGB7Y2LjV7EeTdIjcpLaa/diB47TeP5/R+dGdTdqmiwzMT+e5NJmPk0P5jMGVqQJhCFcmC8iyxNtXKlQvcJKn3XNodW3SSU24ZAleGdmUzjvzFSzHJ5VQhxKyQRji+yGaJqPKMo437ETxjS9McWUyj2V7XJrIoRzBtrvRtuj2XaqFZNw4upNgURR5yCnD8wPuLzawXZ92z0FV5KHE0Fg5HRdRMknthQUUO7FKMWsceA98FuvbZvzvZsfGcvyXLiQRvD7MjuUoDybZ7BQ+JEka2h9SCY1vfHGat6/0IzGGBJuNPuu1XvwzluNzbaaALMskDSWOe9++UmFhvRMXG2VZYmo0y3azTy6jx8na1xHL8fj0US2OZa5M5eO/tUBw0am3LXp9l9FS5JDnuAFfuz3BH/54mZWtLooMEjJBELJZN8mldS5N5KkWU0hETpIQFS48L8C0PZY3O4wUUxfGBW83fhDy+eN67C622zlQIBBEXJspMjKYbFEtpI48FvzJWjsWgGUaJjfnSnH8fVAc8zwkSWJ2LEsYhuhqZNyw3ezTtz00VY4FHADrtR7vzFfhGfWf3XHMW5fK9CwPQ1cOFaVNj2Yp5xMEQZQHcb2Avu0NxU+C1wc/CPnscQ3Ljs60E9W0ENyckNvzFVIJlUbH5v5Sg+uzpVd9SQKBQPBcbl+pMFFJ47g+o6UUsny8qbqKIlN5jthzfqrAWDmNsivnOTWaodG2Y6OqsbKL5fiYlst6rcfIYCLAes2EgSuwaXm0ezbtnsNGzcS0XRRFZnokQyZlkD6mkZZAcF7JpZ/WJ9IJ9bmC8LnxHJVCkluXyxCGQ/WFHVRF5tblMr2+i6Er+H7A9z9d5+Fyk9XtLmPlNElDpZQ3qBSSJHSV69NFNE0hndRiwTpwqKjkIBK6yl/4mctsNUyyaX1oUqBA8LK5MlVgtOQgSRKphEq376LI0RSOrUafvu3ieSHFnEE+ozM1kiVpqDxcagKwtt3j7cvleF3WWv3YbTsIQrYaJpnksEhjrJzmL/7sZVo9h3I+QUJXsRyPrUYfTZXjPe91o5hLcHu+guMG++4jAsGrRldlfulrlwZrViOfMWh17XgSx9x4nl/9+URUvy+mUGSJMIj6giqFJP/0d+7G0+hapsNf+3M3X/FvdDJkWeZb70+zUTfRNUXUCwWCExIZHpToWS6aIpO4gP0yvh9wZbKI40Tml3MTeYIgvHAxSxCEbDZMXC+gWozOOYKLy5n+3/vKV75yli//RhOGIWvbvagJMWccO9DQdTV28/T8IBZwADTa9tDNaaNu0uk5ZFL7XbF3s9kwebLaBmCt1uPWpTKZpEYQhHz+pB4Xzhwv4MauQk+tZdE1XXIZnZFiio7psLjRiR1H1SM4+u2wezRc3/bx/BBN3KMEbxi1Vp9ay6LTc8ildSrF5D6nqPQhjRZ7xyKeRUOXZfusbvcIgqhKYWx2uDozLB7r9Jwht8SErrC00WZhrUPSUJmfLlyYJtSO6XBnoR4XZS5P5p9bABIIjoLr+SxvdvGDkIlK+kgOFLqmHLiue32XVtem1XVQFYnNRp+Jyp5pG8dofKm1+jxcjiZqrdV6XJ8pHiia8LyAj+5tslk3CQgZLabj5+9193gRh43drNd68TSP9VqPty6Xj/yamibHo9klCVTlYh3iBOePozQ9ul5As2Pz+UKdXEqnb3vUmhblQpKkodDo2BSyBpcm8kP7t6rIOI4ff75Ny+Mn97fIpHTaPQeJ13cSRbvrxAIOiM4aIil7vnC9gJWtLp4fHHnvehNZr/Wic3JaZ6SUYqvR5/Hq03311lyJXFpndbtLKZfAtFxWtnqsbXfJZxPYjk8xZ9AxXTw/GDrLpxIaD5aa1NuRO992s8/t+eqFKzj2LXcoB1BvWULEIXitMC2X1e0eiiwxNZJ5YbFBIZugcMylsV7rsdXsEwYhpVwC2/WHigBHFW/s4A9yg44bxdMbdTPOO7qej2l7mP1oYvBBzp3PQlFkckd0vNy932iqjKae7warFznrCSJMy43z0BDFg0LEcTI0VeZLN0b5wx+v8L1P14WIQyAQXBgOygcEQcjKVhfb8SkXEsee6Gc5Hj++t0Xf9rgxWxwyrttq9Flci3KPHdPh1lyJhKFyd6HORr2P4/pMj2b54o2R/XUYVYkd1Lumi++HZFM6hq7QaFvHjr8EgvPKs+oTcHDOaPdnv9d3ebDcRFWiHoKddaTIUnwuuLvaZmmzQ61l0e65GJpFopJhebNLa9APIUnw1uXygXkQx/VZ2eoSBCET1UzckyHLEpPVzL5r1/dMUBUIXiaW48UTdyeq6aEaXDal4/sBP3mwjesFmJbLRt3E0BVURY7OTc7TvJrt+PQsL15L+p4cRLvr8GCpua9nKJPS4/f1/IDPH9dj8YdpeVye3H/Gb7Qtai2LhKEwUclcuKZJiERcifOdVhC8wezem1pdm+99uk7f8kgYCl+5NUYxl4j7bO4tNuLJuctb3VjAAVG+/TB8P2B5q4vrBoyUUkfO0b1sZHnYbHova9s9en2XfMYYMqA8CluNfmzkOlZOvbAJpUBwkej2XTbrJroW3WuOMqn7PGG7Po+Wm3QH97sHK60LKeJYWH9qxLXV7PPOfOVYPdaC88WZtrfbto3rumQyTzfDb3/723z22Wd8/etf5+tf//pZvv1rzdp2j+XNLhC5cWqq8sIBkSJLaKocH6YMXYlvTLVWn4W1dvw+iiw/M2hpdmzWaz1s1yeT1OiaDpmkhusHQ4WzTu+pYGS91uPDzzawHI9UQuNLN0dY3ujGjd2O6++bChKGIUsbnVgpPDOWjQOhSxN5FtbbhMBEOX2oC59A8DrS7jk8XG6x2TBpdmzK+SSNrs3bx2hUHiulsR2fjumQSxuMHPOgsptu32VpvUNIyMxoFl1TeLLWZr3Wo9d3SBrRNXmD+89uEoaC7Ub3DlmWqLctfnx/O76HdPoOX317HEWWWVhrYzkeI8UUI0ec3PMy6fScWMAB0f8nIeIQnAb3FptxMqXdc3j36skaMFe2uoSDz2o69ex7xupWl3rbIpXQmB3PHfie7V37PWFUuDxIePXhZ+s8XGnh+QGbDZOkrpI0NDYbfT59VGOsnDq1Buzd1xSG0DHdI98bp6oZvvvpGp4XcvtKWTj2Ck4d03JZXO8QhCFTI1lyaZ2Hy03Waz2abZu1rR6GpqDIEu2ezUbdY6KSptmxebjSHBJJA6iqzOp2Nxp3LklD+/lGvUezYxMSjUfOvkYucXsdP8TEnPPHg6UmHXMwPbHr8O7VyoVL8J01W41+LDqsty0UJVr3MSG0ejb1tsXKVpeHKy3CIERVZNZrJpIsEfgB/9Pv3mOskmaikqbVtXn3ajVO4LW6NlvNPqblktBV5qcKx5pQdR7YyV3s5A8ShtibBa8Pvh9w50kjFhFbts/NSy+vaXq7ZcWGL7Yb8NHdTbabfcr5JF+5NXakiR5+ELK43qbXd0kYaizggMgIZqfpQ0Kia7q4XoAaSHCxaiVnxv2lZjyhROyXx8PQhvcHEQ+eDh+8NcYf/niF7/50jb/xF2696ssRCASCF2Zpo8NGPZq4W+9Yx6qdAPzJT1bjhtn1Wo+ffXeCds9FU+V47wEghLbpgCSxUe9Ta0XNFfcW68xPF5ispllcb2NaHlemCqSTGkldpeM56KqCLElxzPUq9rJu32VxPaoPz4zlhIhE8FJ4uNyMc/h7Y2DPD7izUI/NWyzH25cPXd3qcm+pEQmfUhod00FRJHIZfegzHIZQb9ssb0a505FiKu5/uLvYoG9Fje2trk0ABIP3NC2Pty6XD/0dljY6tLo2mZTOzGj2wjWDCS4Wdxca2E5US++YUY1wN33Hj3uAAJY3u4wO6ujppMZkNRP38Zi2yx/9eJkgjEROlybymJZLs2vjDaZZ2q5/YM9Qs2OzstXFcT16fS8WOw3lMwd0+y73l5tx3TwMEaYsAsEZsrjeYXMQ+3ZMeLTaJN9OYNke1WKKzbrJZsMkCCCX0UklFLaaFrIkMT91uNHKk7V2LEJudm1uz1cuXI/eeq3H0sbTWoyqSkcWeTc6Vmy8VW9bSBKHGmMLBK8DluNxd6Ee9xS5XsCVqcIrvabjIhGw2ejHIo4w5ELG7LsN+3ditdep5+NN40yzPv/2v/1vk0ql+If/8B8C8Ju/+Zv8x//xfwzAb/zGb/CP//E/5hvf+MZZXsJri2l5ex67RxZxhGHIk7U29bZF0lC5Ol3gxlyJlc0uSDBWSmE5HgldHVLZQnR4g6cHMj8IIQxRFJme5caJFdv1cb3owKcpMoauxAfI3TeMxfU2ra5NGIZRg1rHwtAjxX3kAPD093Rcn/tLDVa2uliOTyWfpNd3UZTI+UKSJN65WqGUTxCGIZPVi6naFwhOgmlFa9YZiB9s14MwmlJz1EKELEfOlzuONh/dtZiopuMDRxCEbNR7rG2bKLLE5an8MwOBe4uNWIhxb7FJOqnS6joossz/n70/i5Fsz+/7wM/ZT5zYI3LfKmvf7q279O2+t5tstpoSyR6NtYCjMQjNjAaG/aAxYPjBhAzIAGkCBgwIMuAnYzADWhAIEsY8WPZQI1FqNsW919t3v7VX5Z4ZGft29mUeTuTJjNwqs/aqG5+nysrIjBORcf7//2/7fkVRRFVEUprCzHiGD29X8L2I+ckMU+U052YLrGx1cP2Q2fEM2w0T190dCHPcAMcNqLV6iYrw0mYHQ5dfuga0/deTOaY5fsTrQxBG3F+LG1Wzhsr5ucITDVj0LY/76y18P0ruScvxk+Kg74d4XoD0BEW96bEM7Z6DLIsUjnC6aXbsZJDUtH1kSWBhKnfgcbm0mkx+w+7+H4Yhthti6PF1tgbBhSyJlHI6ghAXZAxNHrzmNoauPJViZdZQEzURhNMpCN9bbdHq2HhexN3VFrMT2QOKeSNGPAl3V1vJefnOSpO3L43T7ruoikS1abFc6ZDSZN48V2aqZNDpx8OWsBsb1FoWK5UukiBgu35sgyyJ6Iq0d5aQWtsiZ+yq7LxzaeKJzs2m7aOr8d5+HH4QIonCM1WiyaVVzs3mk1hnpIT38hHHlDF+EOJ4AcaoKXWIve8RxPdY1lCpt23CMMSPQhwvpNa08PyQzVqPRjse9lBkkZylEgQRXctFagoYukxx4M4hp+L32vEDGm0LQRDwg9j152U7Qz8KRZa4tFBkq95HkcVTq6yHYUQYRSNlmhEvJa4fJgMccHBdeNpEUcTDjQ7Nro2hKRTSKmEYEUURtuNze7mJLIm0ey6GLvPmhfGdH+T+ensgAqFyfraQnCk2qj0q9T6+HyLLEq6/6+axV9TACwLG8jqyLMZr0iEiDy8jW/U+G9U+kiRwfq7w2I2NR61Fe3OifhDi+iGpp7xeRVE0cDF+vdZBVZG4OF+g0jBRZHHUEPSU+NrVSSRRYLXSY6PaY2Z0zh4xYsRLyGH1z/1CLEP11RPUTqLBeafdc0jrypAiseMEfPGwQWnQ6BWEIdJObkSIc5GxiN7uc+qajGl7iYhWLq3RtzxM2+PCfJ7VSi92XZ3NEUVxnkNVJH52s0IYhCxM55goGo+Vx3H9EMIQVT0+zxpFEXeWdweK49zR+EhZeMQTsffs6XgB91Zb2K7PWCHFmakcYRjFg08D/CCk0jCToavJsjHkvmtaw70SO3WLbEpBkSVUWeTa2TJnZ3IsTOUQBBLBjIiI7aaZxB4P7TbplIyuylQbJhv1HlEIY8UUeUNLBqp2arBHUW1abNb6g8f6qLI4OjONeGYEQZjUEyCumwdhlNQhPT/g4Uabh5ttUqpM1lCYGU+TUmUkSaSY0Tg3m2e10mV1q8tHt7cJw4hiTqf9qcN4IcXCVI4FYHmzw0e3tzEdn5QmM1bUkyEOzw+5t9YiDCOCMBZr28nR7c81+kEY9x/tKVY86r561nh+iCw9/ZqF7cZrwKNqJiNGPGuEwUdwR2W+1rLx/TgXZdo+lWaf/mBP9f2AiaJBp+ciy2Iy9LWDH8T3+45rRbMTDzF4fkg5Hw+GnGaIY3/PwItgf++lZfsUT5hGsg70bfpHPHLEiNcHxw2SAQ4A03n1PveuH2K6XhwfA6bt4vshqvpqDaFl0ypOK+7HkiVxyEl9xKvHM/3rffbZZ/zmb/5m8vXv/d7v8Xf/7t/lt37rt/in//Sf8ru/+7ujIY7HpJjTkqZlURQOVbY+ikbHTpoqe6bH2naPszN5LswXWN7s8Id/+YAgiLgwX+D6uTJbDTMOpASGJk63myZLmx0YTMdnDZWxvE7f9ilktSQxKooCVxdL3HxYRxkU0XYwdAWEWFHQdHxmVBk/CKm1LaZKaYrZ3dd1d7XJZ/fq1NoWlYbJVDFFJAhs1U22mxaXF4qkUwoXXrEJvxFfLUzbpWv6FHM66jMokuczGqLYI51SMW2fTEpFlsTHmrZ8sNFOkj8rW10KGQ3XD7m5VOfuSotcRmWqlObBWpu3Lo0f+PkgjKg1LbZbcYJ1vJBCEuNAT5FFzs/myRgqE8UUn96t8un9OpbjkTVUfumdOebGMzS7DmEY0dBsijmNjKHgtAMEQaCQ0UinlET1agf3JWz4yKVVLi0UB+o7ylNzFRjxclOp95OBgVbXYbthMj32+OoLDzfadPsuQRixvBlQyGiIAtxfbxFFMDuRQXuCwCKdUijltKT5aLx4uKvNzmDWDnsVdfey8znvmR65jEo+o9Hq2vzgpytYTkA5n+JXvrHA3GQmUaLLGRrvX5/m4WZnN/ERxYNpe4c4XD+k2bHJGuqxiR0/CLHdgJQqIUki02NpJEnAcnyKWZ30KRqtfvj5JreXG4QRTBZTfP3aJIUTKnGM+GpRa5nIknjqz4frBbheQBRFiKLIJ3eqVOp9ml1nMLCtIAgCja7DhfkCY+ruXlLK6Xh+yINBsvSTO9ts1vqU8yneujROWleYGjOIoliZeGVr93mDIE7Wio8he+26Pt//yQrNroORUvhb31ggd8iZIwwj7q42aQ8Sv1fOFE+lcnlaxgqpp+541bc8JFE44PQx4vSUcnoSj6Z0eZRU2odp+3h+iO8HyLKEIEAhq5E1VKoti7/8ZB1JFNiuW8xNZKnUTQTivc31AkRRxPMiJkoGph0Pe+azGmOFVNKQvT5w1OpbHsW8zux4Bn+vYuwrRC6tPpYrabvncHc1LjCPF1OcnTleVWzEiOeNpkgYupwU/06qAPe41Ns2tUHCv2u6RAJMD4Qc1qq9IeXOzVo/ibs1ZVe0pdlx2DZ2HTYabYsffbGF4wZkDZVf++AMiiwiSyKT5TT1loXl+uTTKj/6fItaKx4se+fywfzCSbEdnyCMDj3nW45PFEVP5Qxiuz5Lm226fQ9ZFhE32rx5fuzUv2fvWjRRMlic3h2OL+X05G+S0uWnrmRoOT63lhp4fpjkLF4nMZx8RjtVvnzEo8mkFN68MMbHd6r86PMtfv27F170JY0Y8UrQMV0s22e8oI+a+J4DR9U/92LoMrWWiabKJ6qdVFtWMrjR6bukdBl7cP5RVYnsnnNHOqUwM5ahb3kUshqW43NzqYGiSIiiT3EQm+UzWqJavIPjBRi6wrnZg7HJv/mrB3z+oE7f8kkbCr/01gwXF4qnqjPcW23y4y+2iAYK6+9cnjjysWE0EF1wdxpyZMIIpNfnqPDas5s/lzH0Fy/Y4HgBX9yv07VcSlkNVZESIclK3UQUBCoNk61aH0EUmCwa6Ko05By+Vumhq1Jy/xVz2oHngLj34PJCEVkWuXa2NHSfiKJAoxPHPjsDHePFFLoqs900qTYt/urTDRodG0WWmJ/I8EvvziUxTzF3fFzm+sO1k/21lBEjnoRW18YPQsYKce1OkkRyGZVOzyUIwzhvHQ2aeohdNyzbZ3YsQ6vnDPYfHT8I8fwQI6UgCgK5tEq9Y7NR62NaPvmWzcxEBsvxkyEMLwjo2fHwRd/2cN3dHIEfhInYnCTGdbjJsoEiiUl+IIoi7q21aHZicVcviJI+iUfdV88KPwi5vdykb3loqsTVxVLiIPJEv9cP+cHPVqg2LTRV4m99feGFvcYRIwBmxjJ8dGubzkB0Ulcl7q42cb2QYlZDFAX6ljfIk+uYTsCZ6fg8Wtkj1ghxTnBH+b3Rtlne6vBwo00QRHR6Nt+6MXPi62p2bP7kZ3HPwFghxd/6+sKJnH+fNsWcRq1tQURSizkphay2e1YRGOpvfNnZ6c0Y9S2NOC3plIKqiEmPUOkV3OOCgKGzjOOFBEEAvFpDHIvTOfqWS8/yuHa2+NoJNX3VeKbdEo1Gg8nJSQBWV1dZXV3lf/gf/gcymQz/4B/8A/7r//q/fpZP/1pTzqdQZAnTjidcT6NOvVelAgZuGgM+vL2dfP/eaouL8wXOz+bZbpqMF42kOSKKoji5MfjR1UqX6XGDZs8hCKKBQlyAaXsYusJPvtiKBz6IG9TevhQnBxdn8rS6Dpv1PpIoYOgSKVXD0FUuzBeGFvutuokfhPheQKNj4bkBgigwUTTw/ZC17S6X99mmjhjxMrFe7fHnH60RBFHcwPDNM0+9aS2lyVw/V6bdc/D8EEUWKQwSoqcl3LdWhFHEaqWbKNN0ei75tIp0ROZeAOyBEwjEycpcRuP+WgtdlelZHroqc3+9zV9+soEfhFhuQN/0Wat0ebDeZmEyi6pIbDdMJoplfuGtWTZrPXRNZrqcRpZEJkopupYLEeia9FhNXM+DQlY7VdA34tUn2NcMuVdJ9yT0TDcp3pm2x3q1lxQh0ymF6+fKRMBkySAMQVclPD98rPu9Z3k4rs/F+SI9y0OVxSOTiqWczmatj+eHCAJDlsn7KedTQ8H/J3erWANr5nrb4u5akzfPj5EzVDqmy5npHBlDZbJoJOeG/e46pu3yRz9awbTihqnvfm3+gBJI/DiPm0uxvbqqxKpbqiIxccRwyqNY3+6x8yetd2w6fWc0xDHiAP/hw9XY3Q546+LYrkr1CRAEks+9rklMltKkNAnbFtE0iXJBJyJunrp+bgxNlai3bWRJSIY4iGCz2qdremiqjOsFLG90ePfqROJ0B2C7QWKfXMrrx6rQt3sOQRiRz2gH3IRurzRpDobVTMvji3s1vnlIkrbZtWkPErvxub3HpYXiid+bF83d1SbNTvw6z0znDl1zRpycxekcubSKH0SU8/pr1TD6pNRaJn/801V8P3atef+NKSZL6aQZeWmjTXrQfNzuuWQMO1Zvl0WCMMJyfHKGhh+G2K7H4nQePwgRBQHXD7i51CCly5iWRyGt0cm4hGGErspPffDpZWe10k0KzNWmxXgh9co5kYx4vdkRRKkPXHaepBjSNV1cLyCf0Y7c8/fHLjPlNIWsThhGnJ/L8YOfrOH6AaIoIIkCPTOOwbcdn7F8KlnL98Y8laaVNC31B2rTO/lAgInBftqzYndhURCQJOHAteyn03fx/HioXdrzeioNk+XBWaqU07mwR0Rmo9pL3ASfxuCW7wd8erdOs2uDAFfOlB5riGNla3ctivMeqWTI5OxMjnwmdlZ6Fvvl+p7hnE7fpd62j43tRowA+OD61GCIY3M0xDFixAl4sN7mh59tEEUkYiYvojHpq8Rx9U+Ate0ulYaJH0QYosD18+VDc6lRFMXiPEIsTGG7Po2OjaHJXDtbJho4eJyZyrG81Uma0SeKRiIsEUURP7tZgQjKuRQpTebSfJFiTielyUyWDB5stCGKBzYPE8XY4fZyEz+IYz7L8elbPstb3VM1Xf3s1nbSDP/FgzqXzxSObO6XRAHPD1geNLmfn8s/kcP0iOeL7fr80Q+X6JkekiTw3a/NJ43UL4qHG21uLTcIw4itap+pMYOUtjsAtbLVQZElJksGXdNjvJhiZjzDx7e3k/srnVK4slii2XWSfOhe9tYtMobCpYXigaHeTEphebODiIAiidxZbdLqOrH4kygQDRrUBQRSmkTf9pifyFBr28iiyNnZg47keynndCqDfgZRFI4Uyhox4rR8dq/KJ3drQCzo9t2vzQNwab7IerXH3bUWoiDw6b0aZ2fzBEGINVDGlmQRXZUwdIWFqSwPNzqsb3dpdR1uLTeQ5biBW5VFelGE7QVIgjAkoKarMlMlg3bfIZ/W9n1PSoZJIBZ/3e+W2+65SX5dEARyhsxEySClyS9s+L7atJL1xXEDNut9zkwdf4+fhKXNdlLLddyAj+9U+e5780/8e0eMeFwsx+fMdA7L8UmpMrW2xUatH+95lsdkOYUii0QRRCGkVJlO30UQYKo8vI/tP1u3uzaW4+OHEZoj0e27J76nP97TM1BrWdxfa3N58fnXDYtZnauLJfqD/ORpxF8MPe7X6PRd0inlsYR1XwQ//nyTu6stAC6dKfKNa1Mv9oJGvFLIUtx30+w6x/YUvcx43rCbSBgyGOJ4tfjZzQp/+vNVoijuZfi//NoVJOnVGkQZscszHeLQdZ1uN07wfPjhhxiGwZtvvgmApmmYpvksn/6153EVJ8t5nUrTxLJ9ZElkZo8q+P4cnO34bNZNwjCib3XQVZlMSjloJyiAbQfMT2bpWy7bTZubDxuUcjqz4+mkIQ3g5lIjKdpmUgpfvz5FvW3xV59sUG87iJLLd94uHki+TJQMKg0TL4jIpVRK+RReECYF4ZGN74iXnZsPG0kRoWu6LG90n0kgktLkUw12HcXcZIYH622iKG7w3AlYFFkin9Fo9xwEQWB+4mg/welyOik+RMQOPpoi0d1p0hAFGm0bQRCIiC0HQzXk1koLRY4TpvOTmWTYJV73hoe1yvm4AOJ6IVlDGWriGDHiRTJRMqi3LVwvRFOkUzX97jQg+UHIVt1kesxgoxoXIAxdRhAAIbb3zaV3kyGPsxXW23FiBEBVRK6fKyduWoehKhJvnB+jZ7mkVPlUqvT792qR+H49Mz2cGJ0oGWQMJb6v0+pQkfD+WhtzkFj1/ZBbS/VD39tKw0zWXNcLqbWsJ7IuHyvoBGFIBBiajK4+OxeBEa8m7Z6TDHAAfPGwcaohjiiK994oihOWD9ZbSKJIRKxK1e65iAK8e3kiaeje+9lXB+vMamWgIldIoSoS02Nprp8tD+2Pi9M5SjmdKIqOTaiuVrps1mLHq3RK4epiabiBcN89LRxR0N9/779Kx3bT9pICE8RNoKMhjidDEISRus8R3FpqJgPTQRjR6bucmy0k3997jymyyOUzJUzLY7XSpdN3sd0AUfQYL6WYG88yNZZBVyS2Gn2kgW96p+fiByEpTWZxOkcQhLx5YeypK7y/7BzMabxCC9OIrwySJCaDDo/LVr2fKMymNJlrZ0uHxszlvM723lzheGaoaPkffXuR7aZFMafzpx+u0d1xVNIkVFXE9yM0dXhg2tBlJosGXhCiytKRw+YCDFzMtOTro9io9VirxOetlB43Ue7ECuvV3XNYoxMXkXdyI3u/V21azE1kjo15HoXtBokytRBBu2c/4ieO4JgX+6z3y/1PPVoGR5yEb1yf5v/5rz7j1nKDVtcZiZWMGPEIvnhQSxoD6m2LzXqf+cmjc+kjnpydM415SP0ziiI29uQ4gjA6cjDh7morcVhWFZFP7lYxbR9JFJgZz/DGnuHNq4slOn0XRRYPuIEJgkA0+BAYusJkOZ0851ghhaGfrK5RyOrYjfjadU1CkU/vpzr0E0L8P0cRhBGKLDE3EedSJVE89v0a8XLxYL1Nz4zz50EQcfNh44UPcTTadjK87AUhmiohigJhGJExFLxAwnGCQb1DZbJkoCkSQbh7356fzSf5z8N4VN2i2bG5u9ZifbuH7foIxPnT8WKKsXwK1wtQZIm0rhCGsUBO1lBZ2+5iD5R6BZFjB8J1TebNC2V6Vixy+VXLtYx4dnzxsJH8e327R6trU8jGw/5hFJEZxO+trsMPP9ugnEvhBQECQhIPZwbOEJ4fkk7Ftfue6VHK6+iaRCmnoysyk2WDGxfGkPY4iGVSCo2Og+sFBIFDZs9+JwgClxeKdPoukigcKpKyP95UVemFr0vPLQYebZ0jXjAC8SDWTr+N64eMFwz8MBw47MYiUCERkiSSTsl0TRdRODiMOFUyaHZsPD9E1ySI4hxZFA2cfaPjhVn2sv9YKbzAFp+soT72AIahK0/F9fd54fphMsABcGe5ybuXJkZiAyNOxXFn8lcBRZERBdjRgBBFXsl74Cc3t5Kc02bNZGmzy/m5wgu9phGPzzMd4rh06RK///u/z8zMDH/wB3/A+++/nxTKNzc3GRs7vULZy4rnh2zUeoRhxHQ5fWxDo+MFbNb6CALMjKWfqGj4OEiSyPWzZRwvQJXFocTge1cm+ctPY0X8K2eKhBFDinCrlS5nZ3LcuDDG2ZkcDzc6RFHEmakcluujyhLdMD4ISmI8rdsdTOnuLBzqvoVPUyRkUWRhMovnh8iSiOn47OfiXCEOKnWZBxsCkiiihCKlnEYEBGHIylaHmfHMsWrCI0a8KHR1+F7XtOf7Ob2z0mSr3me8mOLqYvmRjy/nU+TSserjzpo2N5Hhx19sYtpefJ8LArnM4QGNKAqcncnzcCNuDieKBzk0VU6UqnRVRhIFzs3lWN7o0lc8SlkdbeAgIgrQtTzOzuSPDX7i4Oi078iIEc8WTZF488I4rhegKlJS5Ko0TPqWRzGrHTmZXmvFTVGm7WHaHrYTkDUUwig+O6iqhCwJnJ3JcX+tTRhFzE9kT3Sm2Kr3MW0/ef5qa9cK1fVCOn33kc1CPdOl2XVw9ICpUwxxvH15gkbHpmd6TJUNzs8dXfA46r7W9jkY7f96h/1ngScNvL7z7hx/8O9v4/kh33xj+okb6ka8fiiyNHzmPUGRrt1zaHRsNFVCkgSMgQJdW3bQFRkviNX4z88VSakSlhMPFNRaFoIQD0fbbsD8eJpiLsWZ6Ry6GqvE9c14nfnmWzOHNgKcZBh87/rQtzxs1x/ajy+fKbG+3aPWssimVW5cOPx8UcxqlHJ6/FoV6dgB0JcNWRLj4Gbwd30VkzgjXh3UPfFC3/aoNk0+vVcla8QNDF+7Msmff7SG4wacm81zZirHaqVDLqMyN5Gh3rLxw1joQJREVrY6yLLIwuTuEKMii0yPG9RaNqoicf5s6SvZVHBmKsud1RZ+EDJZMoaKzyNGvE7sqD9CHIP3LO/QAU75mFwhgKGrLE6rhGGEKku0+3FTYymX541zYwRhhKpIeH7A0mYHQYDrZ8vUWzZd02WilOLS/OEiFumUwlTZYKthIovigQHvI1+P7WPaXlJkVSQxGYRDYKjJUJbExHVCFAXEx+zW2ImlFEmgmNfJDtwJi/sc+npWvIYrssh4weCLh3VMy+P8XJ7psd01+cxUjnurLfwwZLqcfq5F39mJzMCRMaAwOKuNGPEoxospLszlubfW5qdfbvEr75950Zc0YsRLzf68wP76wMtO13SptaxYIKKcPtQVqme6VFsWiiwyM5Z54U6L0kAV9LAzjSAIyKKYOIcddSbw/DAZ4AC4v94mn9HIplRESWC10sVyfBw34PKZIuNF49ChNkEQDtRR9w9BnLSu8Qs3pvlXf3YPVRE5P5vDSCkszpxOLfzr1yf50eebhGHEjQtjQyrq+xGF+P3ZOZtIknCg0W7Ey4uq7KvDvwRrz1Q5ze3lJj3LpZDVOTOVww9C+pbHVDmNJIncXRk+FwdB3DOwMzQhSY8eJlJk8cDZfIda24IoHqDa2O7hegHFnM54wUAQBBam8mzW+7x1aZy17S7plMJbF8aTAQ6I6zb7hzhWK12WNztkDIUbF8ZQZIli9sW85/W2FTu3ppSvRP2i2bFpdh0MXX7hAwHPGlWRknhXEEBVdtdwZc9e1zXd5J6XBwN4okAy8FFrWUNxZxBFBEFAWpcp53Ry6Yj5yQwRAq2ew6QqIQgCXdNjYTKLP7gvu5ZHaU8dURCEY8Wi8hmNsUKKrVqf1e0u5YJOOae/ULea8aJBq+vQ6bsYujw0+PkknJvNs1LpslHtY6QU3rl0cqGvESOeFjvneE2RGCukWNrqUGtalPMpri4WufmwgR+IZA0FRRZpdt1YUE6VyKU1soaGKB50y9U1mRsX494HTZG4t9qm3HUIgohsWkE+Re/j25cmaHadQc9AmnNP6Jp7GpY3O6xWuuQzKtfPlRHFl7/uN9STOpZOhnJOiyzGZ/sdIUxZFtn/8r9q54kRXz1kWSCTVmkPXMSyaQ1RfKYt9M8EXZGo2hZhFKKrMunUq/ca4GD/2leVZ/rX+8//8/+cf/yP/zF//+//fRRF4V/8i3+RfO9P//RPuX79+rN8+ufK3dVmomrR7jncuDB+aLIyiiJuLTVw3Ng9ott3hxRbnheiKAwp9fctj7XtWJnv7377HKosIcsi283YLaXTd/j8QY18WqNveXh+yNevTSUFPkEQ8IMQxw1wvIB6x46b0toWk+U0mZTMFw8bKLLI3/v2Qat1bRAA7iS1Dztw6JrMu5cnmJ/IIAixrWNKl3nn4jhbTYtu36Pb97Acn8tnSgd+fsSIF827Vybp2x4902V+Ksfi9PMLRB6st/nJF1sArGx1USSRC0c0UOxFkSX25IGot23SKZXP7tcIA/CDiK7l8b1vLg79XBCErFRiK1Y/CClmdQQhVrBy3ICMobA4ncdyPM7O5vHDgC3VJJ/RKBd0xgoG2ZTK7ESGM1NZJl/z5NuI1xdp3367Vwm31rK4fOagpTfE+2Lf8pJ9UZZFJstpHNcna6hMj6cT1Yz3rsZq+idxpNqs9ROV/lrL4urZEookstXo4w1cL/Y3ct5eavJgo03WUPjGtUkcP+QnX27RMz00VeKdSxPMTpzM4SKjK7xzaYJu32WsmHqsZugLc3lqLYvNWo98RuftIxKgM2NpbNenP2hUGy88mYrtzaUG0+U0YRCwVu1hWS6p1Kthizri+WDoMu+/McWnd2pIssgHb0wf+3jT9riz0kyGPnJpFU8KCaOISwsFHq53qLYsHq62CYKQciGFJIrMlNPcWq5zb7WN74fUOzYP1jTevjSB6wds1U2unCkRBCFTY7uOWI+Drkr09jQ87h8UU2WR731zEd8Pj72fBUHgwnyBMIxeeEPHaVEVibPTeTaqPSRJ4Nzs8zu/jfjq8faFMXqmy2qlh6ZItHsOlYbF9FiaZtfhrQtj/J//5iUabZvtpsnd1SaiELGy2aXetgmikDCI15effLHJuZl87KDXdSnPGXh+wPRYhsmSwdnpk50dXlcyhsq7lydeyXVpxIj97MTfthPEKrJ7zr2aKmENhFIEgWOHtvbmCltdm5/d3CYIQ25cGEsGD0RRwHL85HxhuT6KLKIKsYruraUGrhefHXqmx9/7zvlHnhMAFqZyzE1kD70f7602ubvaJp2SKWWHXQiVPb/3/FyeB+ttgiBidiIz1Dh7Yb7A0kaHMIpYmMw+loPn3lgK4PrZEg/XOyiKyDff3D33uV7AraVGIorz4y+2sOz4b7C63eVvf+tsEgPm0irvXnkxa5Guyrx1cXy0Do44Ne+/Mc29tTY/+nw0xDFixKP44I1p/urTDSzb49JC8YU2Kp4W2/W5vdzcVc73Qxb3DVo6XsCtfY85TqH+ebG//rmXC/MFljfjM8GZqVyyBwZhFA9n2D6Njs1Hdyo4bsDCZI6MoWDZPqIcP3ZtO46/ANaqPf7ut89i6IfnXsr5FKosslbt0eo55NLqqVyNd7i/3mF2PEsYRaQ0iRsXxw8I5j2KszN5zkzFohqPalQTBIGL8wWWtzpAPHj6VY4fXzUuzBWptWzWt7tkB+fNF01KkyjmNDRVJGOoNDo2fSs+I3fNFtfPlQ+ci+Nc5O5nVZHFJ3KDUWWJSsNMhjeunS1xc6lBpWFycb7AzHiGmfEMZ6dz/OxmhTCKmCil2az1CIKIvu1hWh53V5ssTOXQFIlay+TPPlpLxF92+ideBM2unTiu11oWCAw5Jb5udPrukJI48FoPcnz7rRn++rNNAj/kxsXhQbzxYoqf3apQqZsYusxEqQDEDpWiILDdsPj8QZ3xQooP3pjhzHQOP2jhegG2G7DdsKh3HBRZYn4qje3EzlMrW13CKGJmLJO456ji0b08j+LcbJ7lzTaeH7JVM6k2V/h7v3TuyD30WSOJAlcWS089JhZFkV9+b4G+5bFR67FVNx855DJixNPEdnxuLTWS2mOtZSGLsduvKAhMFA00Rca0fSZKKSp1E8cNCInIpVVcL6TZtRPB1v3s7X24dKZAFEW4XkAprxOGIf/+x0sAvHt5grHC0ftQPqPx979z4UR5w53XUR04Ci1MZR9b2LnSMPmLT9aTvdsPIt65/OLPSo/izkqTvvXontRHIYoiv/jWLB/eqgCx0Pfe2KDdc4bPEzAa5Bjx2pHWZcIw2PWmDIMhkb1XhQvzBT67V8PzQ66eLT1TV+9nxWH9a4/rjPSq80yHOL75zW/yb/7Nv+GLL77g6tWrzM/PJ9/74IMPuHr16rN8+ufKzmYJsYq16weHBi9+ECUDHACm7Z+48fJZEUURt1eayfS+5TR5+1J8SJkoGnh+SPO+jWl7tLo2miKTMRS+DkPXLUsilxaKlPM6fSt+bKNto6dk7q51yKRUSjmdm0sNFgfK4bbrM1EymB3PcGY6R6NtP1ItwXaD5Pt315r8b3/xACGC6+fK6Jqc2LSNEoojXjYMXebXPlh8Kr/rtAmFWtsa+rratE40xLH3+ZY2O3x8p4rj+nheOBjeCmh27QOPX93uUW1aPFhv4wchc5MBpuWxVe9j2T7lgs7iVI4gjKi1TD6/XycIIZ2SaXYcrp8fY6acoZTXHznA4XrBgfXkJK9n1KQw4kXQ23NegPgccFjibnE6hygIuF7A9FiaIIjipMQRDUcn3fP6+56/a8bKGsLAz3f/b9mq9/npzXgAbLXS4cNbFTRFxnZ9xgop2j2HP/toNXb3GSjVZw2Vs7P5Qwsq69UelUY8ILqy1UVXZQxdTu7h8WKKuUco9IuiyLduzDzytUqSyMVTrHOPYqc4K0oSjhtQ7zrMPeYQx2gNen25MFfkwtzJPneW47PXWTiK4I3zsZPF6naH7ZbFz76sEISx7flatc/cRIaxQgrbDuhbXnLvdwf39uf3a9xabiIOLMwzR7httHsOy1sdoggWprJHKtRdmCuwstVNVPCUIxKpJx3IelU/9+PFFOPFVy/xMeLVQ1Vlfvm9BZa3OlTqJvfXWkAcA/t+7LBRqXT5yRdbRFFEEEb8/PY27Z6D70f4QUC5mCKdUlit9Fja6nB5oUTP9rh+btgp50ni5SiKiKJX957ey+vwGkaMuL/W5rP7NVw/oJDR+KV35khpclJsXdnq4Pmx68xxTYPLmx0anTgv9+WDBn07Pl/82Ufr/Pp3zqOqMkEYkU7JbNX7RFHERDFFEEbIUizusjPAASQ//yTnhFrL5EdfbEEE9Tb4fsjCdA7fD5ksG0O51yhK6q8HyBoqb154MhGdTs9hvdqLh1jSKu9dneSdy5MHHmc5ftLMClBrmqQHcUMQRDS79oEY8EWuRaN1cMRpef/6FL//R7f4+M42tuM/VjPyiBFfFfIZjb/9rbMv+jIeC8se3s/25xQhbhDb+5j9ec+XkVx690wQhBH3Vlt0TRfT9pAlkXbP4ee3t5M6rx+0OTeTJ5dRcZ2A6fE0m7U+9qDO6/sh7Z6bNKDub0ILwog7q61E6dZ2fW5cGE/+/WC9jesFTJQMgiCi1rJIaTLnZvNDA6mtXpyXtB2fatPiw5tbvHlh/NSOgqdRGc5ntORaR7wa7M05x+IyxwvMPE9sN2BmjyPddtOi2bFxvZBcWsVyYvffvWdTQRC4fKbIaqWLIAjMnVBIaocwjHiw0abbd8mmVSRBYCcVEhE3CeUzGoIo8CcfrvLx3RpvXRzj1nKTvhmr8v75R2t87/0zrFX73F1rEoXw8e0qXdPl3cuT1FvOUBDS6Byslz4v9q/TfcuDp1ceeekw7eHX+yrsQU/CeNHg7/3S+UO/d2u5SafnktJkPD9kabNNGMaDPTlDYbtp4gYhXdPj9nKDIAzYbtqMF1JYjofvx8F0RFwzrLctuqaHpkjk0gozY5mkZ6jTc8kYChOnyJXvXZuaA8Vr2ImP3Rc2xLHDs4qJlzY7yX3Zszzeujh+ZH3laTCqO47YYX/tsday6Foelu2T0mTGSymuLO6KIi9vdtism4RRhKbIRFHERq2HJIpM7WveD4KQBxtteqZHIatxab5ISpWTvOO//ssHbA9cdLfqJv/X71155PnzJJ/bvuXxYL1NGEWIZvz4xxVcqw+cuYa+fgXo28M9qV4QoomP13Q+P5llfvLwfowD5wn79d5fR3w1afXswfBajOX42LaPfoxb5cvI/dU2M+MZiCJsx6fWsoZcwF8FdtacMIoQB4L+oyGOZ8Ts7Cyzs7MH/v83fuM3nvVTP1fyGS2x103p8pHKdooskk4pyYcwl1Ff+LBBEEbJAAfEG/7eQ/5UOc12I268DkLwA49uP36tHdMlCqOh4qPjBbF1cBTheAHdvoPvB4nVbs9yWd7q0B0kQNa3e+TSKpMlg8mSwcpWh49ubyNLIhcXCgduznxGY7Pep9a0WKv0KOV0On2Hu6stFmdymLbHz25WmJ/MvtaKCyO+mnRNN7YUDuKGhTNTj7bMdryA8UKKOyvNJCCZOcGgw162m+bAclGkZ4VEgCwKKIrEVClNp+fSt10miikkScJ24wLOjjW574dsNUxUWULPydhOwBcP6+iqTKNj07N8REFAlmQKWY33Lk9SPkI13/ND/CBEHzj47F9PsoZKbk/TquMFRFGErsr0rFj13PdDxoupl0IZbMRXi2JWozEYBhAEhj6re5El8ZmovReyGrWWhReEdE0Hx/Opt23yaY30IBHjeAEZ4nut1rKSwci17S6SKFLOC2zW++iaRNf0mB5Ls900qbYszs/m8fyQlC4fOlBlu/7Q144XxMmjPfewIomU8qlDk5k908UPQgpHNJw/S+YmMjzciNXnsmmViWPUQ47CdnxurzRx3PisdHG+8MLPgSNeHBlDTdSsZUkAAT68tY0fBKxv9xCiCFEE1wfH9RAQ6JsulXqfxekcxZweD2KFEcWshuv7rFa6eH58lv9yqcG1fU3bO9xb220guL/W5t3L2qGJUlWRuDBfeJZvw6lw/ZBu3yGb1k6tODlixKtEIaMl6nld0yOty2iqhGn7LG+06Zoem7UuYbjbIKCpEnIooIgCpuXj+yGW7bNR7fGtG7uNG2EYx+mKLD6WWlWzY3N/UDCZn8gyPTaKuUeMeNEsbbUTt4162+aTu1VkSUSRY7GV83OFR/6OettKhq3bPZeNeo98Os71+X6I7YeoKohC3NSpqSJRBP3B85p27CJo6LGSH8Rr2X5sx4/VO49xBNlL1/SGCquW43PhiNfzYH33fXiw0SaXVk/8PMexc81t0+XBegs/iPMLN44YCjF0BUUW8Qa51vmpXBIDqqp0qmaXkxKEEY7ro6nyE6kTjxhxEhanc0yVDbbqJh/e3uYXTiCyMGLEiFePjKEgS2KS3y9kD+7rhq4gy2JSXzxs7z8JURRhu0FyfnlebNX7STy13bTQVYmu5bEzl5I1VPwgwPED5iYz+EHIu5cn+Fiocn89VqeVJAEjpeD7IX/y4QrbDYuMofDLX18gZ6gEQZjkX4Ahkb+VrS49M64V315qIorxnt7pC8iyOHTmmSqlY+fznhMPsUZwf63FWxdHQxYjYh5utKk2rSQGSJ9ywOdZk89oVAdNnUKcBk3ihlbPITxiGtvQFS6fKR3+zUew1egn5/BG2yYIo8SZIghjd2NVEvjkThXP81EViZ/f2qbVtTGdgIiIfFpFVUXmJtJ8fCf+vY4XsLTR4e2L4+i6lDQcQewOvsPzPqPnMxobtX4SPz3umvyqkEurCAJJo/Lr/nqPo9mx8YNYXKFveYiigCgKyJJIre1guwHFnEYho1Np9NE1mb7lYTvxYzVFHMS50kCgIa7v+0GI5ezuW7PjGWZPue0sb3aoNExkWeTSfIGZsTS3lxuEYXzW0BSRVtd+ITW/Z83ePT8MIzw/eCbnnDCMuLfWotV10FSJy2eKj+WUMuL1IZ0aPsendJmNerw/dE0X1w3wgxDPj/tt1qv9pF+hUusjSgKaEu9d67X+0O/eqPVpduJewWrTIp1Skryj4wVsDYZBACp1E88L0LTDP/c7zn87NfMLc4UjBzocL2CjFovI6pqELJeBx+ujmC6nkSQhOaOftm/qRVHY15P6NGuke+Ox/fvryEVoxOtI3Pu8+7UXvppCR64fUO9YhAHk0kqy7r9KGCmZD2+38byQdErh2tnHi/1eB16Z09t/99/9d/zJn/wJ6+vr/OEf/iGXLl0CoF6v80/+yT9hdXUVVVX5b//b/5b33nsPAMuy+G/+m/+Gzz77DFEU+a/+q/+KX/3VX30m13dhrkC1ZRGGEePF1KENeXHyzWF+IoM5KCq+aPvkIIzomR66JmEPgrByXk8WJ8cLuPmwzsONDqIgEIkRuiaTy2h8crfKZ/dqAFw6U+QbA3vQrKGytt2lb3osbXWYLKVxvRBDjxNGZ2fy8UT/HnaSvKbtsVWPi8Z+ELK02eHN88NF0Vxa5epiiS+CGmN5HU2VURUJfWBtNFE0iCJYqXQZK6Qe20btWWK7Ppbjk0kpKPLxBWXT9nC8gKyhvpSvZcTzZXmzk2y8lbrJWD51bDJ2bbvLRjUOrt44WyaCxK0iCEI6poumSBi6Qtd0CcNocDAfXsN2nnO8aKCpEudnC2hq3KDhhyH/r//9U3w/pJjV+Qffvch4IUWn75I1VEzHw9AVJosGzV6sSiMA2kDFE2B2LE3X9DB0mUsLJYq53WAgDCM6fRdZEvCCkHurLaII8hmVSwvFg+vJnoPJRrXH2nYPgOmxNF3TTdabatNirJD6yk5xjngxlPMpJFHEtD3yGe3UxZSe5eH7sTrV4wQShi7j+gGtrkO776DKcVJ2u2VyNpVHVURyaY1m1+beagvH8elZHpmUQhBGlPMaRkpBEMCyPXw/YCyXilX3IghDkESGhkP3MlZI0ezG64AsiRSyGs1BsTSKItarPXpW/N5cmCsMFYhvLzX56a1YhXd+MsN33p0/9DmeFf+n717gx19uYTsh712ZPJGl4v79fm27lyRuW12HRsemnE8le33OUA91WhnxeqJIIpIYF1Y0VaLWMlEkkY/vVlnZ6hCEkNLi4W8/CMkYKsWcjqZKvHlhjHxG4fP7DbKGyhvnShi6ws2HTTIpBdcPyKaUQ5VUdtT7dwjDKC42HvDiebnomS7//kfLmI6Ppkr86vtnRsnDEa8NrhfQtz1SmoyuyuQzGlcWS8yOp3H8kJQqM1ZIsbTZ5t56m0/uVGn2HCRRQFOkWPU9iNA1ifnJLNsNi3OzBVQZwkjgykKc9ArCiFtLDfqWhyQNHHtOeRZ+uNlJ1HZXK13Kef2pNEmPGDHi8ckZGtuNuCEqCEN6lkcho+H5IStbXa6eIPHtB8Nx9Uw5Td/eyV2mUCWBZtdGU+KBsrXtPkRxk8jPblYwbY9cWuPa2RKdvosgCIzvE2a4t9ZidauLKAlcWyyfyOVqeixNSpNpdG1kUeDc3NEFWm9vkSJi6LzzuCxtdthumCDE1t75jIbnheiadKTSqyKLXDtXpt62UGWJb1yf4t5qk57lcXYm/9RVRndyt64XoioiV8+WjxQXGjHiaSAIAt98c4Z/9af3+OtPN0ZDHCNGvCZYjo/t+kkdSpElrp0t0Rjs/+X8wX1bkUWu79nzxo4QZTqOKIq4vRIriIuicCAf+LSJBWLiGsje/KWmSixvddEUCc8LyBgqfhDG+VtdYaXSxfNCZEnixsUxSrkUK9sdVFnk9lIT2/WT81jP9Pj0TpVffHsWVZHIZ1TaA+XxvTVhb8/zB2EUK6n3XRDgHTccGuL49tuzfP6gxu1lidmJDNKexrznzU6+M63LWE6AIAhHChWNeD50+m4yIHGaGOB5UsrpXD5TpG955DIaa9tdgjDCHdxve0sdW/U+jhswO545savfYeyvUeTSKn3bw7Q8Kg0Txwu4s9yM6ySKxNRgAEMSBaJB52I8gC4ThkHSS7HTnPqHf/mQbt/F80PmJ7NcmCskwlx7z+iaInH1bOnEuZNO3yWKDq/VHkfWULm2GMdj6ZTy2udNDV3h2tky7Z6DoSvPdO94mVmv9rBsn2rTJDOo3RUyKpWGiUAsLGfZHuWcDghMltMEQVwP2GrE9QjPDxkrppgqGUyV0+TTGr1BzeJJaug9003EInw/ZHmry4W5PJvVPo4XOwL82x8uISA8sua3u/cor0wecryYYnPQAJ8xFFLPyMGw2bWTxm7HDVjb7h0pfjHiq4GqDJ/jTdvH8YLEiSMIIz6+UyUMIzKGQjol43px7TqdVlha77DdshAFeHOfK9v+8+fevVaRRIo5jfpggLKY0xAkiVbXScSu97K+3aPbdwfudyGlnH5kPOF6AZ/dq9E1PUQRilmddy8/3vtTzOn8yjcWWK30KGS1V0b0dacnNYoixgqH96Q+DlEUcXc1HgQTBLgwX+DCfIFKvU8pl6KUe/2G7EaM0EQBURCSc70kCvh+eKL+n5eJbFrB9+JznSAI5F7B3kfHDShmNLqmRyGjYjr+qevWrwuvzBDHr/3ar/Gf/Wf/Gf/wH/7Dof//5//8n/P222/zu7/7u3z66af8l//lf8n3v/99ZFnmd3/3d1FVle9///usrq7yG7/xG7z//vvk809/ExZFgcnS0QMZQRhx82E9UZU4M5079vHPmmbHZqXSpdmxMXSFKIoVfCdKafKZ3Zthu2HS7seq16IooMoSmZRKMavx+f1a8rg7y01uXBiLle5Nj+lyhoZiEYTx8MblhTxBAJcXS8xPZml1HXqrLlEUTwLnBomEaH999Yh6a9ZQeffqFLV2HJSoisi3bsxQaZi79s1PXqt9JnRNl9vLTcIwQpZErp0rHTkN3+jY3FtrQRQnka+fK48GOb7iRMBmvY/r+UyW0sd+zIMwSgY4ANwgbjwWRYEgCPnyYSNWqRRAV3cHuXIZlcsLxaGD/3jRoNq08PyQUj7FtcUS+iDZ8Lv/388Jgoie5dHoOPzxhyu8f32a62fLnJvJEUUCshwrfvz4803aPYezsznyaY1m16Fnubx1cTxW853Mcn62kNgqRlHEnZVB8YJ4qGlnIKzdc+n0XWbG09xZ2V1P8sl6ErFW7SWvYbPWx9hnf3ZgzRkx4jlQyGqPlVDerPVZrXSBOOF35Uzp1IMcm7U+uipTzMZKtX3LI5NSKeV0zs/lyaU1FFlko9onikBVZd48VyabVjk/n+fBeoee6bE4lePCfAHT9rA9n/GCgeuH9CyXrKEwMTjjbNX7VJsm02NpxgoGxazOG+fKWE5cFFYViemxND3Lo9v3CMIII6UQhvFAx9736dP71WRvX630qLetQwvIzwpJkvjWmwfd5Y7isP3+MGotiwcbbYggpclcO1saDXJ8RWh27XhfHSTANmqxE02755JOxWqNnb5LOadhOTKZtMLseIbLiyWWt9p8+bDJzFgGTZWodxxsN3apqLVtcmmVa2cPd+EQBIGZsXRyRpgsG6/E+fLWciMZhHfcgJtLDT54Y/oRPzVixIvh4UY7btadzj0y2WQ7Pl8+bCQx95Uz8WBFLq0eaISxHJ92z4nP74qEqoikdBlDUxBFgUJGRdcU5iZlwiBkvdZHkgT+4tMNflmVkCUxcQUNgoiNWp9LC6dMho3OzyNGvHRcPVvC8wNcP8TQ5KFYPjrmpo2iiEYnPo/k0lrSlCRJAr/yweJAzTNkvJDii4cNgiAiiiKqLTMRUlmr9hFFEVEQ2KqbFDIqF+aLB57LtD0+vVtN8qKOG/Cr75955GtTJJHF6SyyLJLSJMaPccObHc+wvBk755Vy+hM3SLheEA9wAERxYdrQFUI1itdfTeKz+zVSqnTgNWuKxMwe6/LD3pOnxXbDxPXCwTWHbDfMQwd5R4x4mnzrxjT/6k/v8dMvKwNF2VeryDlixMtItWmyVe8zXjSeu8N8s2Nzd6cOpUhcO1dGkUV0TWZGO16Zdv+ed1o6fZfOYMDhsHzg02S92mN9IPiUS6ssTGXZbpqxU7jpcnmhQBjB2eksRkoZ5GsE7q+16FseWUNFEgW2mxYXFgq0+07yu7cbu27GQNIMAnBxvki75yCKwlBT9cxYmntrsWBVWpexBuckAag0h1WPZVnk7UsTZA01aYw7zAX5WdPpu9xebhBFsN3sU8zqKLLEZMngzPSjXeNHPBuifYWu42KAF0k+oyX3wHQ5Tc/0CMOIdEpJVPh/dnOLW0tNIG6A/pVvLCT1wtMyUTSotW18P0SRRc7P5QnDiM/u1yCKuL3UQBTjx3VNl77lc/lMlksLBarNXeFOiOsxNy6Ms7LViYdMvICV1Rb5jEYmFave7nVWr9T7yRnd8QIqJzyj77gWQNz8evGUcUTGUL9STU/plPLSuc48CR3TZXmzQyalnKipOAwj1rd7FHM6X7syQdfyuLpY4mc3K2zWTJpdm6yhcmmhQCmf4upiEccL2aj2aW/EIm+OF5BPq8iiSEqLa3uOF6CpMqIoMFV+/H6mw1aizZrJ7ES8f/3lJ+vkMxqaIh1b8+tZHreWGoRhhCQJXD9bTnoUXmbmJ7Pk0ipBGFHIaE+t4Xo/o16HEYex9xyfMQJqLQtDG7joBWHSU9czPc7NFtjS+0SDz+rt5XgfjoB2zx76vZMlg2bHwQ/iIcW9QxeiKPC3vr7ADz/bBODr1ya5u9JM6hELU9mhOKfbd1na6kAUu9stHnOW3G7Gjj4ZQ0EShWR49XEZKxiMHZNjfFqEYRg7B7sBF+cLT+SS86ie1Mela3rJIFgUwYO1NoIg4AchPcsnpcsjUdwRryV7BaAC/9XcTDOGysWFAn4QkjVUbC98TI+iF0fXdLm/3sa0PVo9/dTxz+vEy3+6HfD1r3/90P//oz/6I37wgx8AcOPGDcrlMh9++CHvv/8+//bf/lv++//+vwdgfn6e9957jx/84Af8+q//+nO77h16ppsUKiEusB23wW7WeixtdMhlNK6fO7wB63Fpdmz+6EdLmLZHrWVzeaHIzHgG2wsOJEdt12e10o2bLdMqs+MZzkznmBnLsLLVY6PWIwojJoqpJIkiiQKKHCt5t3uxEn86pZHLqEmCopDVeOviOJ4fktLkpAk1nYqDw+2GiSgKLEwdndBQZZHvfbBIs2uTTskYukpKk3m40SaK4sDoRTSk9SyPestCU+PE5f6AbCfxA/GkcqNjH5nk3m6aSYTruAHtnvNYDauPuqYRrw61lsXt5SZRFNHqunxwferIxwrEh/mdz5soCOz86Tt9Nx7gAIhiRcy58fh+6/RcHDcYSoBoisSNC2NYbjCwU43vrXbPwbQcKo0+5mB6X1MktpsmZ6ayQ8mzetvC0BUURUKWJM7O5DkLfO3KBI4Xcm+tRbPr0B84FEDcqLYzwAHQ7rvJEAeAJIlkUsqh64kgCEjirhWiIMTrwr21FkEQUc7rz0Qhqmu6NNo2uia/0GG9ES8XPdPliwd1RFHgzcHQ40nZqvd5uN5mq2kyXTYQBZGe6cVTyKdMUO8dDlBkcbAuCGTTytD+stfeW1Vlzs8XyaQUrp8dY7tpJlapuXRceCnmNOR1AccNEEQhaXj6i0/WIYJP79X4W984w2TJwNCVofs4n9F46+IYzY7Dg412MvXe6josb3UYL6QwdCVOKO/YDwugvORqO4ft97MTGbpmrM6Vy6gUszo3l+o0k+Y5lU7fpThStfhKsP+cOlHS+fxunXrbYryYIhAFgjBkqpxGkSQs10fXJb68X8N0fVw3Lrh8/eoEnb6LKktMlNJkDJXZ8TSFjJYo15ULqaH1Ym4iSzmfIoqiofvxZWa/orQsHTzPul7AVr2PIAhMj6VfieGUEa8fP7+9zZcP6gDcWmrwd7597th9vzFokoa4+Pqzm5W4EWoQe+9FHTTHVFs2uiqTNRTOTGdJ6QoP1+M4uNNzuX6uxOp27JghyyLtnsPn92tMlgxaPYd8WqXVc3C9gJmx9KkK/GemszwYPNfsROaVUb8bMeJ1Jp/R+ODNaVwvTPJi9baNJAksHNMotLzVTYYUdM3kymIZ1wvQFAlFFpOzw3q1l8TVERGCKBCGIVEUu/ARAUK8hnXNw90pPD9MhjEBunuaHiEe8qi2LBRZZKqUTuL6Tt+l1nZodx0cV2Kr3jtSlW+ssOtwNzf55E2NoijEiZVBXm5uIpMMw+XTGh/drmHa8evdblp86wW5EUj7zkTSKQf9R4x4HC7NFynndeptm4/uVBOH7hEjRjweW/U+P/jpStyEJ8B33pl7rgN5lb11KC+uQz2Oq8ZR1NsWd1db6KrEG+fGhpT19+9b+/e1RxGGIV88bNDru5ybKxybj6/UzeTfnb5LEIRIokBKlbFkn77tMzFwyrgwX0hENzRNYmm9jTaI60RRQBSGay+zExmaHZtGx8bQZG5cGEueSxSFQ3N9xZye1DW8IOTeegvPj6/pqEap83MFpsc8REF4IQ2stZZFFMW5zlbXRZYkSrlBPeiIxjs/CNms9YmiiKly+qWJIS3HZ7sZq9BPldOP5Xr9spDPaJTyOo0TxAAvCzs1gZ0YZuf9f7DWSR5TbVq0e3Gu/LQ5v2bXptNzmR1Pk06ppFQpqY0sb3b48HaVZtcmCCPevTzOzFiGb745xZXFEo2OgyAIB3oNLi0UyWfiXoSu6XJ3pcnSps1EIcVYYbi/Yv/1nSRHGUVRvB7vvIaO80KGZU3b5fMHDQTg+rmxA+J4I54Npu3yRz9cwh3UwNo9h7cvTRz7M8KevShjqOQyGpIYCzitVrroikhE3G8SRrC0IfOtt2aYn8hy9WyRuystKo0+jhsm96CmSFw/N0ana3NntckXD+pcPVc+oOxcb1v0TI9cWj2ynpU1VMaLKapNK16bprKsbHWT78tSXKOMX8zRNb9aa7fWFgQR9Y79RIOM7Z5Dq+uQ0uVk339WPA9HnFJOp9a26PRcVEV8IUOeI15u9vf5PFhvsVnr4/lx0+/lM0XOTucIo4i+5aFrMrIkDtaY4f3L0BVuXBzDdoOhvXUH2wuYn8wOBkDcoSbp7aaJ4wZsVHuUCylkRUQWxWQg5LizWCmnk9YVLMdHFIVnfu+ehlbXod1zSKeUAzHUjz7f4sF6G4D7ay3+9i+cQ30Cl7Fnwf54zLS9JO4Jw4hay2K10qXddViYzo3WmBGvBY4fIUswMCFCliCKAuDV6JnYYbqUplLrJ+6Yr6JDZqVusrLVIQih2XVo913mXvRFvSBe6air2WwShiGl0q6y8ezsLJub8WTnxsYGs7OzQ9/b2Nh4oueMogjTNB/9wH0EfoDjOkkiVJOP/j2Njs0PfrrGznmm3e3z9sWxQx+7l1Y3Vt5VZZHZ8fSRKs7315rYtksYRARBwGatSzmnoMrKgWsKPBdVgkCCYlYhY4i0u33uLte5vdLEtD0kSSKli7i2iS+KGGqEocUKdZMlFV2REIWAifzB3y8Atj1c4J3Iy5QyGURBQBSDY9/vRsem0XHQFInZ8TSGKnB1IUsUxZP4j/O3ehLsgSpwOHCN63RTzE0MH2JC38VxnD1fq0deZ+C5rFVagwO0wuJkCtM83QSg4wZ8+YhrGvHq0Ow6ieqFKAhU20cnKkRR4PxsnqWBEuXiTC4Z4NmfKN9p4OzbHp2eSymnsTiTH0osfvmwzma9z3jB4J3LE7HK/EoTWZbo9j28IMDQZPIZDVUWDwwLNTo2siQmv7Nrusm0/Z9/tMTdlSbhYKDkP/5bl1FlEUUWsV2fRttGFOPkbEqT8byQybKRNJWoinRo8v/8bIGlzbjJ7Mx0jnxG493LEwQDZXwA1w/5+a0KPdPl3GxhSC3ntJh2rAayo3rhB+EokBlBGIb8+5+sYA6UJqoti7/9rbMn+tlW1+Y/fLhKEMRBct/yuDRfRBDiIYzTMl1Os7LZodq2KOV0FqdzsWtPrccf/2SZxZkcF+aKnJnOcW+tdeBey2c0cmmVpc3OoCipcG42nxRQdoqHza7D2nZ3qAD8o883uH5ujPnJLJoi0em7bNX7ySBJEA4mxF2fVtvB0GQqdZNay+LGhTE+eHOav/p0A98LuX7+YNL4ZcG0PdarvWSIY2dt0hSJlCbz9qXxoTWo2XESxZB2z+X6+ac7vDvi5SWf0ZgsG9RaFroq82Cjj67HA1WVhsX8RIbpsQzdvoehg6HJOE7ISqWH64eMFfREdXt+IsNqpct204yVnXIajbad7EfVlsUb58qoisTadhfbDY61Jn5W+H7Iz+9s0+ranJnMM1FKUW1ZaIrE3ETmWBeaq4tlqi2L7abFWF7nxvnh+CiKIm4tNxJnsa7pHulGMmLEs2THNQviWKzatI5twNp7hl3d7rDdsMgaKvfX20iiwNyenz0zncOyPfqWz2a9j6ErXJwroakS23UTy42FGSRJxHEjthp9JEGk03MIgpC17R6trk02rZHPqGRSKjeXGrxxfuzEivXlfIpiVh/E3Afv2SCMWNvuxgNkef25umaNGPFVRpGlpLnn/FyBM9NxA+BxIh47it9BGFHMaXhecOiQuLqnaUgURCRIhjWmymmyaRXL8TF0mUiI+IN/dwtRFPjlr80nDn2GLjNZjM89oihwZmq3yc/zQ24uNZJBEdsJkrjcdn0+vVdNGjZUWeKN8+OHvp77a61EOe7mwwY3LoydyOHOcvxElXt2PE2z69A1XfIZjXMzeVYqXSRB4OxsnqyhEIQRzY7NZw92HYrX97iAPm8mS7GKcdeMhXQmn4J6+961fKyQSppYR4zYQRQFvvnGNP/6rx7y159ujIY4Rox4QlYr3V0V5QjWKt3nOsSxXzThaTbZm7bP93+ygu/HBapO3+WX3tktyWcMlZnxNJWGiapILE6dzs3hw1vbiVrw0laH/8M3FxNF//1oqoRvDQplRKxUuixvdskYCuNFg3o7bjIt5fShvW9uPIPrBrQGzVmz4xkEYbj2cnEmRzGrY7s+qiwiiiLLmx3urjYxdIV3r0wQBLHTiCgKSX50b13ja1cm+fxeHVkRh5xHPT9kbbuL54dMloyn1hAaRfH19C2PYlZPzm3HoSrx2UoQBcSBoB8Mnxf3c3elRdeMhbqaXYeZ8TTNjoOmSsxPZF/I8ITnh9wcOGJCfB48P1d47tfxNLkwV8A/QQzwMrE3htkhpUu4vTi3J0kCmioThhE/+nyT28tNREHg7UtjfO3q8Nmj3raot200VSKXVrm70kq+d3YmPxTndPoushQ3OvUtH8vxOTeTj2udpsdYIRU3pQ/yHn0rzvdbrp80kBu6jOn4mLZPq+egyMM5lcnywH18cEZ/1P3lekGc222YZA2FlKYgSQLSY7qQPAnf//Fqcs9u1fv8nW+ff+7X8FWk0rCSAQ6Ate3eCYY4BM7P5VnaiPeiyZLBw402200T0/HomB6S6NPoWnh+hOsFIMB3vzZPOqXg+3GdqtaymCgazE1mMHSF20tN/vVf3afVdSjldO6vt/iP/+blZAiz3ra4v9YeXLfJpYXikS5aZ2fyzE9mB30/Amdnctxfa+P5Id99b567q61H1vx29p7k60cMNgVByOp2D9cLGC/GecwdeoPehp3aZRhGz90B7WkTOzuX8INXaw8Y8XzZblp0+g7ZtIosxTV6zw8RhTgW2KnvK7JIKaPx8d0asgSLU1l+/PkmEbGL3NxEPNyYScX3pR+ErFbic2q5kBoME8X3qOX4yPLusFan7/LpvRpEcH+9zexEmrMz8fCIJIrHCmHNTWT54M1p7q22yKRkfvHtFyOksp9O3+XOSjP5OoyioQGTtT35wp7p0enZz8UB5DSkUwpzExm26iaKIjIznmajuusKGA/9xP2MDzba/NoHZ1661zBixGnJZ1WCcPfrIIJU6tkPXj5tBDGuSzheLBb7KopbtnsOhYwW64QJwgEHqK8Sr/QQB3DgELrfMnTv9/d/73HwPI+bN28+1s/6ZkCz5yNLAoqvcLN3+EDJWs1hu7r7ofSsJppfPfZ3O17I0vbukMi9tMR08fBAp9HxqA022dAL8W2LZs0eXNPm0GM7ZoBvuiiAIoHiW/z1zR5+ELFRj5McU0WVzUqDjz/9kpS2GzRpgCYTX5MFD+9vHfsaTovthixXd1/z/YzMZOHFTsV1zIDNxq5rQG1bpFsfXujDKKLT8rC9iIwuUolqVNYP/30bDZeNioMfRrR1kZzUIqWebtHtWgEb9d1rqlYOXtOIV4diRksawSVJIP+IScpiTj9UASOdUlicyVFtxo2TVxdLPNxss1rpUsrpNDoOEe3EqureapNP7sYNCtsNC1WRKOY0iCAMY2UqRRIQRJEoiri0cNDiKq0riXo/MKT8fWe1mTiDbFb7NDsWk6U0ECvye0GIFAloisSb5x891LZDIavxdnY4ySUIwpB698++3J2A32qY5NLKYwcefcsfsi3dSXSO+Gpj2n5y30I80HRSam0raWYqZDU8PySdUpgZSx8osJ709+mazPxElp7lIkoi67UOpu3jeiZbDZOsoTFZMo681wRBiJ109tg577esNnSZUk5naaNDGEXU2zZjhRSNto3t+Fw+U+TOSpMwjKg0TDw/YG4iCwK8ca7M/bV2siYEQYRp+0yWDH79b1w49Wt+noRhxO3lZqKa17NcClmNQlZLmlj3r0HZtErWUPH8gHxGQ2SUYP0qcWYqlzQxfnRnG1EQmB3PkM9oXFksslrpYjttNEVEGzhhqYqE64dEYcT8dJb3r0+yUukRhPH9EoYRUQim41EkPgOEYUTf9thummwNlCdb3bhg/jxtcD+6s82dQXPF+naPqbE05Vx8b4RRdKxNvCyL/PJ7C0d+3w/CZIAD4oRoFEWjosWI504xq9EdOMkJAo9UPhkrpHbd5yJhqLGg2rKGhjhSmsw7Vya5dKbEFw/ruwXHKOKdy5NsN038IKSY1VnabCMI4PoBPQvaPY/+wB006jmcnc6hyCJRFA8gnnSIAwbq9EfsV2uVLpWBsn+r56Cr8oFzwogRI549J0nYNzt24nzpuMGRe+Z4MYXt+rR7Dromk8to5AdNEFEU8cb5Mo4bkErJ/OGfPcAZSFj9r396j3/86zeAuEHr69emWK/2kKXhIQ7L8ZOYB4bjaNsNyKVVTMtDkkSO62Hq7XEB8fwQxwswHvE+RFHE7eUGrhdXbVYr3WTNavdczs/leffycE5BlgTSKRVZFpOG1HzmxQ2YS6JwaA7mSVjZ6iSD5q2ewxvnyq+Me9uI58e3bszwr//qIT/+fAs/CF/JQuGIES8Lcc5ot/mnkHu+9Zv5ySxBGCWD2E9TvbHZtZP9EqDWPpgXnZvIxnnBx6DaspJ/B0FErW0dOcRxfjbP8lYHP4gQhXigwHR8+rbH3ESGK4ulQ/fUuEm2cOD/D6u97DSftbo2f/nJelIrsF2fQkZPhgZsx+eNfbnXa2fLh4pRPNxoJ4Oqnb7LjQtjT2XQZrPWTxq02j0XRRGHGl0PY2Ysg+eH9C2P965O4gchohCrqx9F19o927W6Nn3TG3JjOXPKwZ2nge36yd8Chs+RrzKvw1787bdn+cmXW3heyBvnYxeInuXx0y8ryd/srz/bHBri6Fle0lAOJDmJ3e+7jBd3BSYmSwb1wVoklOCD69Noqkyr6+y7xwSCQb7fcX0ebnSQFZFSVmOj2me6nKGQUZEkMall7HDaM/q9tRY90yOfVql3bEr5FIvTuec+5GS7/lA81u65+H44dM+OeDYUsxqCQLJvFE44sFfM6hQv64RhxMd3q3HcLAg02w6aKuP5AYEfkUur6KpMbc++OT+ZPTA0ulbp8tObWyxtxvul64f4QUS7Z1Me1M73O3B2TffIIQ4YXpsMXeHNPW5VJ6n5T5XSeF6YiC3svZ8P4+Fmh8bgHm/3HN48P5Y0qPcsL8mnwmD9f010oF6HPWDEs2HHSQEG63oQDp2/+raX3COOF1Br2xQyGq4fcHulRRjFe5Hl+AiCMLRuLG10kr6Hds8ZWseyhsrc5GA4YOAWvvf+I4LxooHl+BRz2rHrCMA3rk29dAISvX29QD3TY2LP9p9Pq1TdeN2VZfFUjujPk5nxDDN7hGmjKP57Zgx1qKE6iuKBoNEQx4hXnUbHRBBA2LMm2baPYbxa+e8///k6thvHSDcfNtisd1mYfHzR6hfBudk8m3UT3w/QNZmFyeefH3hZeKWHOIrFePdrNBqJG8fGxgbT07FCyczMDGtra0Pf+853vvNEz6koChcunLyBMAwjlja7tHoOubLMOzdyj0yuTXUslpoP6Vs+kiRw7eIUV68crjK3Q6vrEKi7FqPplMyVM0cnB2bm26xvm+QzCm+cKx2wQdtLtWXR7XtkDAXXC/h05QEREY1ehzCMyGVzpDSJixcvsFY1Me1YWUJTZPJZlUtzhRMF91EU4flxweckSYlGx2bL3KZrusiSSHkiz9VnqF7ds1xUSUQ9ZgLYcQPUpWaiEDhdNpgZPzi9f/2EzymttCiUdwPhxZnsqdXvXC9Aebh7TVNlg9lDrmnEyXjcIa6nxS/cmObnd6pYjs+VM0Uyhoppe9xdbeF6ARMl48RJ74miMTQJfmYqN9T8aDsBfhAShhHNrjP0s52ew5mpuOE6n9XoWV5i1fretamh4r45aBabHksnXxdz2lAxKJtSsQaPU2QRXVPomS6fP6ixtt2jnItVfHcsFzeqPVYqXVRZ4vxc/onUp9q9PcFVFDcojBUMepbHvdW4GXt6oCzwKLKGMmSj/rTtyob+1kXjSIvyES8Xhi6TNdQk+T02aObfrPVZr/aQxLgQeNjnZbxgIEkCQRAr4lw7V+b6ucff6/YWEzIplYWpLK2uvXvvR9DtO0weogzVNV3urbbwgzBp0EhpMpcWirGrx0yOTs8lYyjJ+hIrxfVI6zJTpXgNsN0AxwuT+8T1Ajx/9/ktxyc3UPOFOPG4d00Jw4i7qw226haFnMa1xdIzsxSPooiHGx3qg+GXi/OFY5VAgjA+y0Bc4C1kdK6fKx/bRF7K6TjurrrY/kbXKIoT5bIkHrA0HfHqYbs+d1da2K4/aNKIB5mqTYt2zyEIIopZjelymguzebbqJtPjGQxNQSDC8UKmSgYPNtqoqsTVsyUMXcXzQ8YLGp2+gSzFVsKuv7uni2L82arva5awHP+5DnHs3XP9IKJv+ZQHW9nOeeFxkSWRlC4n54lcWh0NcIx4YlzXx/XDUyXXP3hzBk2pYDo+lxaKJzqn7hQ+NEXk+z9ZoWu6iKLAB28cXpSwXZ+tep9O30WRRDIpBUkW0TWJTEofWM9G6KpMpIDnB3RNB0WOH6trMrYboKkhmiqRfoqNuUONC1F8rU8yxPE4f4MRI0YczcONduIClkkrWK6P70eM5XXur8VnlJ0z/t785d7mjo9ubydKnwtTWc7PFvCCkG7PSQY4ADr94TzCznDzflKaPDQQsTcuKhdS5DNask4Vszof39k+NE7PpdWkcKwpEtox5/YdwjB2PNweDCyIAixO55O85P5mrB0MXeZvvjfP5w/q6IrEO1eOV0h91dibG9qJ0Y4a4gjDkJ7to6sy6qi56yvFtXNl8hmVds/ls3s13rn8et0HI0Y8T87N5nE8n62ayVgxxdXF59tNKEsiF56CC4HrBdxdbWHasbPD+bk85byOqkqJuvjEIxovT8tUOZ00akqSwPiehqIgCLm71qLTd8kZKhfnC1w+E9eL7622kCWRuYnYhSubVjk3m0/yn42OjR+EjBVSnJvJHxjWCIKQYI8D717CMBa0CcNdYYlm1yGT2j3jHHXGOIxKw0wa7yaKBo4XPJUhjv3XYDsBPKIEEquon64pJJdW6QzyQaIgIu0RtznN+/A0OXD+POVAruuHuK4/ilOfAYWszq++vzj0f0EQAhFhFCGw2xzaM102G31WNjvUWnYsfKXKSKJAEIR4foQ0cNzYy6+9v4gii7R6LtfOlohCkjgmDGO3gp17zA9CHm62uLPSotNzmZvIsDiVw9BlVio9PC+g2Y2bVj+7V+PiwvH1g6PYuRc0VWZmLMOFucKpxDaeFroqJ+c7gFJefyoDHLbjc2e1mTj9nXYd+SpQyOr80jtz3FtrkU4pj3Th2KHetlja7OD5IT3TJZfWKOV0psoGRkqh1XWoty0c18fQZCZLuwv98maH7WbshHVpoUhKk2l2bZY223R6LmEUoSkSyr74OqXJQ0Pcp6mFd0z31LGjKAqnqofbe/aWKIprkjsN6llDHWoyP+36P2LEy4xpu4h7HC1cL0CSRHqmy9p2F9OJ14HZPc36O7VDPwiJomgg+BIPNbp+GDv4DHC94MDZzXKH77fFmRx9yyOKYGY8TbVpYdoeqizFNVFh1wlndiKbOPG+qqRTChu1Hj3TQ1flA4PN33l3jo9ubWN7AW+cKz/WGeFFsDcP3O07VBpx3lQQOLSHZMSIV42UrsVxxeBrAV6IQ+STstPPCRGiKGJaLya+fhLevjSOKAo0Ow7zk5khYcOvGk99h/hH/+gfnfixgiDwL//lv3yi5/ve977H7//+7/Nf/Bf/BZ9++im1Wo2vfe1ryff+4A/+gBs3brC6uspPf/pTfud3fueJnk8QBAzj5JtStWlhuqCqGkEEzX7I2ZnjP3COL3Lt7DjbTRNDl5kaz2MYxmAyPDo0KaSoOtttL1GOm5nIHnudb1wweOMRsygd06Xbd5key3NmZnDQcwPGils0uw6T5TRhBGOlNN+4NoXpiTieQK3t8WCjQ8ZQyaYUHE/g+rnykeo3wEDJokFvoMBy5UzxkQpvfRfcAGR58DhRPtXf5jT8+UdrrGx1EYRYZeyo5IJhwDtX9MSydW+D/OMwM0lSGJdlkYly/tTJWYOne00jXiyqKg9ZaQOsbHWTBuBK3aSU0x+rIVMUIAhj5SRBEJAkgY9ubxNFcQFkp5FcEGBhOkfGULm6WGK6nGaj1kMUBM7N5ofsTj+7V00cPN44Xx5KOvl+SKVpQhRx+UwRTRGJgMsLRbIphS8e1hGI3TfqbZuUJjNeTLGy1eHPP16HKFa77Dseb10YA+Ig87RNzmems9TbceChqRIzg2GT5c1OsqZuVPuUcvoj1yVdk7m6WKLRia93rPB0i1IrlT1/64ZJIas9Nfv0Ec+Gds9is2ryzTemWav1EAW4tljCGdhjQ1wYeLjR5q2LBwc28xmNX/nGAg83OuQMjcuLp1NY9fwA044bbhRZpJzT48amKA5EJElgsmQkKquqKh2wDg7CiL7lcXelSbPn0GxbscX4bIEoii36zs7kDwyGOV4AEYzldarNKEnqlvM6KU1Omq2zaTUZfFBkkVxapZTT0TU5tjsupFD2JHQ36l3++Cer9Kw46SNEcOOQ9+5p0Ow6iTKRZfusbfeOLWorskgus1uYLOX0RzaRz09m0VQpUTvcu88/zvloxMvNWqWXJDmXNztEUUTP9uj0XSZLBqbtU87pvHlxnI1an3bHoW97aIqEoclcXCjwl59s8O7VCRan8rhuiDn4/nKlR6troyoi52ZzLM7kyKTUwcCIjq7KlPN6ot4oS+KBPcS0PYIwemaDHYszWbbqscpjOqUwXd7dJ8v50w0q70cQYtvw7WasnjG578y7s5apyvG2zCNG7LBW6fIXn6wTBBFT5TS//N7cseIHO6iyyPv7zusnZW4iy+xEhk7fpZzTsfY20e4hDMG0fHwvoFLrU8xqzIxnqDQtmlIc9xUyGqbjYzs+pZyGpsg0ezb5jD6IZyPaPYeZ8fRTaQDaoZTXE2V/ebCvPy7Lmx3++rMNgiBidiLDd782/7Quc8SIryTNrp2c+y0ndtbomrEKZb1jo2sygiBg2n5yxt9PFEXMT2Tx/YFQyFiKn9+u0DU98hmNsYJOrRU3Ui7ua7KIooie5SGJwtCZVpFFLs0VuLXSJJdWWJzOxSrNts940eBXvrHAg/U2GUMhDKE/cDncqPbJp1UiBDRV4txsnowRF54nigZRFNHuuaQ0+ch1ThAEepaXDJiL8q7bhygKxwqpjBcNvvu11zPHVs7riQiBcsxa7vshP/jZCtWmhSyLfPdr86Ni7lcISRT44I1p/t2PlvnrzzZHQxwjRjwhVxfLz31442mzXu0l+3SjY5NvxWrZv/qNBe6utjB0hasnzG3uz2kexbuXJ0hrCh3T4exMbijPUWmaSY6u03fZrPeTAdBSXqfRtUlpChlD5frZMrIksrTRodN3Wd7qoEgiaV3h/nqb9/acCZpdm/trbcIwopzXOT9XIAxDKg2TMIzYblr0bZeu6ZIxVERB4MJsHkWR6JkepuOhKxKu6x8qGtczXQQhrnVEUUTfcpOzSqNrPVFOw3YGQ/IphVJep74nT/wo9ePH5eJ8kUqjTxTFyvK3V5rJ8MSOO+vzRpZErp0tUWtZyJJ4qvPLZq3Hn/58bZArMPjl9+ZPlCsYcXriJtCIrKEwUTK4v9oGIR4k/bOfrw4GrhwuzRcIo4hqy2KilCKtqHT7Pqbtk00rB4QlVFXie988m3y9WumyWYvzlXHdYvfx7a7Dg/UOAnHj4k6sMzuR5fKZEp/erWKkbGbHM1iOz1qlx5npHKbtYejyicWnyvkU2wMHkXRKeSwXdogdCU3bA0K6fZ9SPoWhn27N+JX3z3DzYQOA62dLj3Ud+1mpdJNB8WrTopTTR7XNQzjMGeM4wjDiwXo7ETXq9F2yhoqhy8yMZ6h3bEQBxooGlhNQzMHVxfhv2u45rG51qbbifiRNlbhypjRwW/LJZVT6lkc6JfFLb08n99FGrcdapYftBhSzMudmTya0GIYh3//JCmuVLpoq8ze/Ps/0WOaRP/c4lPMpTDuuv2qKRGaPqnY6pXBlsUSr62Do8kBoa8SIV5+f3dzi1lITBHj30jiiKLJV76OpEoYux3XJgUhHIatRyqWS2mG373FruU4YQiGvYdk+jhsQRBGCKCCJAhGQ1hXKeZ2e6dLqOowVU5TzOmt2D4j7bMo5PekV6Fse69UetuNjS0GSN9qo9ijnU6/8AAfEQ2KFjIYiS6RUaUjcBuLhyG/emHlBV/d0ePPC+GDIz2FhKjdaN0e8FqiiNOjhGdQERAFJio7/oZeQ+ckMt1eaBEHIzHiaMzOFF31Jp0YUxRMPL7/uPPXulSg6+Yf6NI/9nd/5HX7wgx9Qq9X4T/6T/wTDMPj+97/Pb/7mb/JP/sk/4Vd/9VdRFIV/9s/+GbIcv6z/9D/9T/mn//Sf8iu/8iuIoshv/dZvUSgUTvuSnoj9r/Gol9w13fjAlNEIo4h8ZrcxN4wilrc6VOpx8D5ePKhQoMgi18+VaXVdVOVgQ9ZpWa10+fOP1ogiyBgK3/vmYjwVr0r83753hc8eNLi/Hlt77lhpSaLAw80OlXqPastCUyRub/dY2urycLPDB9enuDB/eIK23rYSu1rfD9mo9R+p/COLIguTcSJEkePXHEURjY5NFMWNk09jUq7aNFnZigO9KIJP7laPVYgwdOWpNVhOFA1Smpx8Nh63ueZpXtOIl49w38Kyk9A/DRvVHmvbcYAlCAKXzxRZ2ugka1YQRHznnVnafZfxQiqxyMsaKllDPTSp5Pshn9yrJV9/fr/OtXNjqLKI64f8+x8tsV7tsbTRZqqcppTT+fbbs8xPxRbBURQrVc1PZGl27SRx9PGdKp4XIAoit5eb5DIqq1tdZsczlPI61xZLSKewDL12tkw+o9Hre8xOpDF09cD76Ach202TYvbRicV0ajcpvLMmQawY+qRrUhTu+/rVO0d+pVjb7vL/+eM7eH6IJkv8xq9dYqocJyXtfUoVh9237YGSbTGr8fXHsAc1bY+bS43YxUMWubZYopjTuXa2jGm5VBomD9fjQcEbF8dQZJH5iezQsGgQhHz5sIHl+Pzosw3apksUgh+GFLMauYx+5JqzVe/jeAGCIDBWSJE1FKbHMwNbaIFriyUaHQdZFpBEEccNyGfUpLBxVPHswXo3HmyFgZVr85kNcew/x51kfb00X6TZje/7k7pnHTVg2Wjbw+ejap8L84UT/c4RLw+xo1X8mQjC3YU8jCKiKCIafK46fQ9ZEqi0LCo/WUFRRBRFICupGJqMLAv8r//hPp2+y8P1Dvo3JKbKcYGw2jQZz+tMFFJEUcTsRJaFyeyBIaJyPoWqSFiOTz6jDRUE16s91gdngVJOfyaftQtzRTIplWbXZnYiS0qVnlr8AnFMtFdFaIe9a5kgwIX5AsVjBsxHjIA47guC+P7cqvdZr/ZPVUh9HJodh5QqM15IIYnigXP+DrIkUMpp/PRmC9vxWdrqcHOlSafn4noBs+MZynmVr12doNuPY/ZGxyKIQvJZBVGAQjZOtrteSKvnnNrx8Sj2x7BP4pb18Z6/wfp2j616/8Cw6YgRI05OGEb4fkjf9lAViSCA/GCgWlclXD9MzgZHnXujCERJ4PxcnBdbr/ZYrcTiDFu1Pr/w9gy9vockity4UN7zcxF3V1vJMOn8ZDZx6/T9kL/4ZCMWVxBgZavDVsNKhBt+7Ztnk3jos/u7OYYgDPniYWMgRAGXForJGuF6AZ/fr+F6IaIoJE6mB14PMF1O0015CEKcA712tow5cCt7Eeq3LwMTJQNdkw/EaPtZ2mong0G+H/LJ3e0DyskjXm++9eYM/+5Hy/zos03+8a/fGLlHjhjxCrO3Rvm4daj954edvFohq58qt9m3PG4t78lpni0dO7hwlOjNwevZ/XdpJ0dqe+TSavL7a22L1UqXatNCUyXOTOXi3E2066qxVuklv7vetpkse/zos0226n2aXZuxvMH5uTw3zo8hSmLSlBuEETcf1vn8QQ1FEtmo9vnet84ONVg/WG8ngjLTY+lBzSOFqsgEQexQ+Lg1hnrb4v56G6LYVezq2TLXz5bp2x45Q01Uyve+fzv5rCepbUiiwMyeRt03zpVp91x0TXqu7rD70VX5RO7r+/n4Tm1PrsBkddC0P+LpsnewIp9RuThXIJuKP/+aLLJa6REx6KGodHnvyiSW57Gy1aPdc+iZHm9eGENTZCp189i/0fxklqwRx0XFnJacZx5utFmrdAgG4lRnpnNIIlycLyTuPDcujnN/rZ38Lsv1+ex+Dd8PkaRYcOYk7qSL0znyaZUgjCju6W8IwlgVXRSFpK5yFLbr8+XDBo2Ozad3qxSzGmld5Vc/WECWRMxD8sGHoavyUx/OfRp17BGHs9UwaQ/i7FwmdpWSJJGsofLvfrRMtWXF940icWEuz0atz3jRwHEC/uTnq/TMOBb+lhty5UyJlC5zfi4/qEtFnJ8r8talSQRBIAgj1ipx/SCTUvCC8MTr+NJGh88f1OMhPgF++Nkmv/7di8f+jGl79CyPTOp0fS7TY2kMXcb1QgpZLXEM2WGnt2HEiNcF0/bjAQ6ACH74+Ra5tJoIgxZzOmemcliOj67JGLrC+B53vL/4eD3J7axV2giigB/Gwq5jBZ1vvzNLRDyMazs+f/iXDwiCCE2V+LVvLjI9lqZveSxM5YZ6dIIgZG17MMQnxBd3/Vz50Breq0oURUO9eK/r/jZZTpPLjMRlR7w+OH6IH+ztB4wIw/CYn3g5SQS/I2h1HKr1PguvYGzas7wDuZmvIk/9lf/e7/3e0/6VAPz2b/82v/3bv33g/8fGxvif/+f/+dCfMQyD//F//B+fyfWclHJep9qy6FvxoMFOgXIv1abFw404wN9pslRkkc1an9RA1f3mcmPo8fOT2QMBhyJLQ4etJ+H2coNay8Lx4mLdylaXYlZjaTNWAn/v6gQ3lxpJ8fXheouMMY4oQkpTUBUX0/Zx/IByIQUR3FpuHjnEsb/AIz5CtRpidfJyQUfpxfa7c+MZ7q+3E+vkWsviyuJBhQjL8akNhkzGi6lHKmTvf58f9finzSiQHPEoZscz/PTLCq4XMDeZeSy1282BKrY0UAzSFOlAUr6USzEz/uikds90aXYddFUc2BbHhx9BgGbXwnVDuoMJ/XrLJgjjRuVyPkWz67A4Ez/v/EQ2LioQB5c764IoCgRRxGqljeX6GKpEy7eRRIGUJtPuuydqQmt2bO6t7SqAiePD9/r8ZJZ7ay1cL6DVdZAlke2GxZnp3ImVmfauSbn04WvSaZibzHBnpUkQRAMXjtHa8DLz8Z0qra6D7fpoisR/+Nka3/naHJPFuCFmsmRQacSK8fvtNbfq/WSAcEMReeP82IH96FFUW1Zy//l+SK1tMTeRJZOKmzeXNrvJY4Mg4saFMs2OzU+/3Erui1bPSVwDTMen03fRFAnT8tmo9+nbARePaPTeu5eLokC5kBq6NyVJHD63HNGT2bc8Gh0bXY3deMpZDUUW8fy4IWv8KTve7KWY1ckaFl3TRZZE5iYenVgSReGpqVDsF3F7zkeQU9HsxgMnubQ6SuLs485KM1GlN3QZWRLxg5DpsTQCUGvbOF6A6wcIgogkQrfvIrsibhBi6DKSJPDzW1U6fRdFFnD9kFtLTS7MFfniQZ27Ky3CKOLifAFDVygf4wKTNeKhkErDJCJuuN6JPXZodOJrelzVt+OYKqeHmrCfVvxyHHvXsiiK3awed4gjDENuLjUxbY8Lc7tF2xHPF8+PB2wF4qG/0wzwnpT9v1OWnu0ivDNIZTk+ja7N4lSOhSOGRiRR4IsHdSqNPpoiYjs+vh/iuAGW57FV7xFGaf7ed8ZZrXT48eeb1DoOOUNhppylb/tk02Fy9n/a+8vTimHlffHIs/4bjBjxKrPdNBNnt6OaG9K6QrVt0e27cR5OIIkXPC9gspwmCCIUWWTmiIKqKAosTGaTWMXQ5ERxOwgj+qbPe1cPNmlajk+tadHqO0iCgCgJSY602jKpNPqYto8oCvxks8PCVFxsaPdc1re7iZjK/EQcp4dhhCJLSXF0Z3/fOYc2OnbirBmGUVw0dgPCCK6cKVFvW2zW+0wUU8xPZZNGlIWpeKj9sIGPR1FtWtiuTymnn6hR62Unl1aPjNF22B+jnjZmHfHq8+aFMTIphVbP4dO71ZEbx4gRryj7a5RvnCs/1iDHzHjsKuj5IemU8tiOm/tzmvW2/VjNXpMlg0bHxnYCNFVismQMxfQX5wsHhFVkKVYbzhkqfhjhBgFZSWW7aTExqCfurZtEUcTSRpM7K01SA1ez9VqP83N5VFVmcTrHxKCWIIkC202TKISu42K7AUubba6djQdfPT9MBjggzg/PTWSGzl7zk9kTD8y5fsjNh3U8P+DKmRJbdXNHaBTT9un0HYrZ4XNLvW1h2rFC82atn9SAC1mbSwunc4g+ClV5erXsF8H+fK18jFPMiMdnx8kX4rN9BEmMshN/aIqErspIooDlelTqJtstG12NRTHWt3sDp+zjnysMI2zXx/ND/EBBADZrfW4tNShkNCbKBreXmkREfO+DxaFcYDGrk0tbdPpx/cBQZep2XBPs9Fw+vVdNhOQexf4cYxTtunQDjBVSzIylqbYsFDl2kNmb/6237YEQVC8WxbN9FFniw9vbZFNxfCNJAtfPlZ97c9TceIbbVlzbzGdG9YOnRURch9txUSzmdEr5FJ4X0Ld9UrpMSpWpd2wCLWK10qU0qF1t1Hv0LI+eFecHlittVitd8hmdUlbH9QLSKYVv3ZiGKGKj2icI4wZHURSpNEw6fZepkpHE78dhu37iwkREUi85ip7pcnOpQRTFecsri6VT5RpHn7ERXyVEkXhIYnDO26kT7BJhez6VhslEKXWgz6XesemaLlEUC6aIg54bQYAojIaGXvcKXzluwI8/3yAKBfwgpGO6vHt5Yjc3JAgokoRNgICALIp0+i7tnkM6pZxaVMq0Pert2IX8KHHE0xK76JnUWha6JjFRTJ+q12qskKLasrBsH1U5vB/0VafetpKBVVkSuX6+/ExqxyNGPE+EMEAQd0WURQGC4NWrPy5ttgeiodC3PVYr3VduiKPZsbm71kocQt84Vz4gMPFV4av5qp8j0sCS1fNjlYbDlErqnd2k3E6TpR+E5DMaoiTQteLAfyewEUXhREMOOwRhxEa1h+MGjBdTJwpaKo1YaRTi5MhbFyw+vFUhCCL6tsdff7bOx3eqmI6HKIg0uil+8Z0Zzs7k8SdCJpspwgjkrV1V3eMSAqWcTjPv0OzYpDT5xE2SV86UcL0ASYqbxRtLu8MunX6sQro32ex6AV8+rBMEUdJoPlkyePvS+JEF2mJO5/q5Ml8+rKOrEu9fP70a+ogRz5JO3yVtKKQCGc8P8fzwREWWds9JFKUkUSQI4mBOEOK16+xMjrurLYIwYmY8faKNckf5f0dU5fxcgQeDQYxz0zmWN7qDa3Zw/QBZjteySIDV7S6SIDA/mWGsYJDSZVw3wHR8pscM+lbcfDlRSPGzW10gXgsfbnURhVidVxIFrp7A3te0Xf7dj5eTdbVrunzwxvTQYwpZjXcujVNtW6zsaXavt60TDXHsdeGIX7OL5wdPpEacNVTevjRBEJzsbzzixdK3PKotC4ioumFsKVrp0em5XFkscWY6x8x4GkEQDjS71Nu7nx3XiwefTttwrMgHhz13kCUxTr4M7lVVkTBtl+//eAXXj9eCrukmRUSIzxNRGGG7AZIkcHYqTy6rYQ6smm8u1dmqmaS0WMU3DCPSugJCnDAdPyKh4vshH93Zpmd6nJvND6li2Y7PzaVG0pzlBQGXz5TYaphsVHvkMxrfuD55qvflNIiiwJXF4rHnuGdJKafTyjvxEIsmM/eMFeAfl2bH5u5qC4gLXJfPFEdJ8gGeHwwVJEzH593LE4RhlKzj7sCx5pM7Vfq2y2qlhyyJrG13B4MUIutVCcf16dseuiqRS6tMlQ0+uVdlabPDWE6nY8YOO9+6MfPIxsPbK82kANjo2Lx5Pnbj2UnsigOL5NeF/Xuv8gQNhj/5ssK9wef9/nqbX7gxg+MGGCmZ6XL6uQ98f1W5tdzAGuw/rZ4ztF89Lb5+bZI/+2gdazCwMz32bBWi6u04LzBRNKg0TZRDhqohbsT5ox8usVXv0+65aIqMH/i4vkDf8gnDEF+R6ZouG9UuS5tdbDekZ7pkUwqdvsP8VBZDV3C9gLFC6qV1pvnG9Sn+4qN1LNfn8pli4gY4YsSIYfa6aVUaJm+cP7wpp2d5TJfTjOVTiJLA6lYHgVhNM5/VubxQRFWkR557wyji57crRMB7l8fpWR6265PS5CGV5b2IosBqtYs3GKwIwpCf3dyi2/fIZxRq7d1mzWCfSuveoZSdOD0IIyzH5/ZyM/meIMDSZgc/CA8UEz+6s1tk/vRuNcmt3llu8gtvzSSN5/tjqJOyUeslgyCVhvmVKTYsTudZ2+6xvNkhk1J5d9TA/5VDkUW+/fYs//aHS/yHD1dHQxwjRryi7K9RdvouY48hmpLSZN66OI4fhCiy+Njx8cGc5sn3Z9P22Kz1EUWBuYkMb54fw/VDlMH55oefbiTCUQ/XO/xH3z435IRRyqUIvIiVrU1M26OQVcgZGsubHWzX58xUjjPTOe6tNvH8EEkSaXbiJti+5VHO68hS7BKWz2gH3scojGO/QaYT19ttsBPFeEBks9pju2mRNRTeuTTBVDmdCMac5r3485+vJY3wK5UeV/Y5lqj7ciXbDZOlzdi1eaPaw/GC5EzZ6joEYfRa5Yoel29cm+LPPlqjb3mcnyu8VmrSLxOKLCZD2YosMTeRYW27hygIvHN5gmxa4fZyk7mJNFfPlvjodo1Gx2aj2mO8mEJXZVRVJGMoBwbU99Yjzs7miKJ4mK3Xs/n9P6rghxHXFsvYbkC759DtuRSyGuMFg816nzcv7LqCx/WD3V6Fetui3rHpWR4b1R7lvM7t5SaXFooUsgfz5X4Qsj4YupgqGUM5XdcPk/wtwHajT6vnJHVN2w1Y3FNL2VkfdmIhabAGu24Ag6UoCCI6PRe99HxjlcyotvlMEAVwXD+JmR3XRxzU+AUB0imFXFrFC0PkgbL+aqXL/++vHtCzPOotM3avFATWKz02a/1BDcIF4rql6wXcXW0lNY4gjKi2+9xaalLIavz5R+v8jXeFR9auFqZyTI+lqdT7aKrEjT330WE0u05Sv4wdhu2R6OmIEUegqzJfvzLFz+9UkASRd9+d4MFam1bPQZFFUqrMerVHEMYuYuvVXiKWAqBKIj0rdvPOpBUmiin8IHbiKOVS+55reA1f2uhyd6WB60fMT2Q4N5NPzr+KLDI9nmbcSyGKAqoi8oOfLdNoOWQMhe9+bY6J0smGHhwv4MuHu/0Crhc8lqPafpY2OzxYb7FVN5EkgcXpPG+cL594vZGleAB+b7zxtAjDiPVBn+dYIXXoOeJ5sLdnxQ9C2j3nqQ3RjBjxopAVmb13awTop3D9emmIwLJ9ogh8RaSce/XOSvWOnQwhhmFEq+cw9RWoqxzGc3vVjUYD27YP/P/MzMzzuoQXhiAIxwakKVWmw6C5a6CCF0W7wXan73JpvsDyVpcoipifzJ5q81/Z6iT2Z82uzRvnx0g94gNfzOqxDaIfkMtodE2PIIjwg5CHG210VaJjujhuQEqT6fRsai0LWZYxdBldldA1mUJGp2vGk7QfvHH08IMgCBi6jO3E9m0nTQRWGvFUrKZKLE7nSKlyorIry+KBpljT9gkGNkif3K0REhd9m12bv/Pt80DceL2y1aVruuQzGnMTGd65PDEqQo14aWn3YiVLSRaSQavj1hzT9ri72uLeWouxfIqUJpMxFFRFpNmxkUSRhxttFqdzp/7c90xvyJa8kNH4jV+5DMDd1SbNzsDSNa1xcU4il9FIaT3aXQcB8MKQH/x0lXevTvBXH2/Qt2JV92rTZGY8TavnkNLiJklRFFjb7rJa6aJpMoIYsbzVHSp8HEW1ae8qfhCvJXsJgpDlrS6W45PSpCH1gketnzsIgoCuSrFFJPGaJO2XaXoMJFFAEkdJzpeZvuWxstUlCiPyaRXT9ZAlkVJeJ4wi7q428YOQYk4/ssijq1KiKCUIxw9CHsVUKY3jBnRNl1xaY2KPwpmqSJybzbNR7SNLIoszOWotKxnggPi++OCNaeYmM9RaFoWMhuMFeF6AIknIioTnh2zW+zzcbLO82UFXZW4uNxjPpxgrpDBSCr/+Ny4ce50/u7XbEL1e65FOyUmTZtf0hqxHO32XmbEMf/PrC0C8nq1sdQmjWAnkcZyIHsWjznHPAscLWN7s4PmxW8P5ucJzff7Tsl81qdN3R0McAyRRRJZ3h7F1NW6MZPCR2nuWvbhQYG27R9fyWN5s07d8XD+gUo8Hugs5jeLgPjw3m0ceuGds1U3qLYvFmTznZnPMP6JgEobRUAHQsmOluYvzBR5udAijiNmxNOvbveQ8/Kjf+bKTS6vJWqar8onUwY5i75mhZ7p8erfKeNGgEfc5HNm8OuLp4flhMsAB8fkzDKOnPmhXzqceuYc9TXRVxnYCtpsmXdPFsn3urDR58/zYUCNwt+/Q6jkDBVgR1/PRVYX+IFEXRPF7BPBws4MkCqRTsQOY4wU0OjZvXxpHGTRqH6XYfxieH7K82cHxYoGIo5L12w2T6sD98sx07rGboseLBr/+yxcf62dHjPgq0e45yb/DMKJveYfGD7om0+zaA2cvkXJOJ5uOz2yiKKCp8onu1//3//4ZfTNehyt1k//7//FaEnNMlQ9fF8IwYiyfot62EcW4ANgY5AcebARMFIykuHx5oYgfhpi2z/nZ/AERBUkSkaQ4punbHndWmhTSKpBnfTtWBx0vpViYzNI1XQxd4dZKiDgozWw3TcbyOqoSv0dbtf5Q8fpx2HseDsOInuW9FEMcYRixUunSM+PGs6dR4N7PL741yy++NfvUf++IV4dffm+ef/vDJf76s03+H45/4rzZiBEjXh7iGt/uXvYke5goCqhPmLueLsc5zZ7lkk9rJ3bhDcKIW8vNJAdjOT7Xzg4rxVaauzG96wc02haGvrs/np/N84d/fp+17S5+ELFZ66PJMosz+WS/z6QU3r4U102+eBCLxl1ZLLG02SGXUfnu1+YPuPQ2OzYbtT6CEJHPaomD2t78mSQKeH7AT29WkCWRmfE0P7+zzTeuTR04oyUx16A2epgbVrW1+1pNyyOty6wO6idXFksHnMP2nmcEIVZU3kFTpNEAx4BiTufvf+f55Qq+qlyYL7K82aHetqi1LFYrXcaLKcbyKVRF5L2rU4kD4J2VJl3TwfPjYW7fD3nvyiS/cGMa9ZC4aH89YmEii67J/PHPVmn2XKIwYrtu8be/uUi1Y+H6IRPFFLIkJv0W+9mpH4wXUjxcb7Oy1YZIoDC4x7uD8/h+Hqy3E8ebVtfhrYtjiRiNLImJozOAIApDdc29ceDOc1u2j6wIAxEvgamywex4mkpj97pfVJwyqm0+fcIwopTXCQY1tFJeH7hWikwUDda2exi6jKalyegqqiJyf63FVr1Pz3IxbR9BjAcPd+LljXqPT+7VUWWRzbpAxlApZTWqLYsoilXn82ktUZsPo4iP72zT6jnH1jwzhsqvvn+G7aaJNqhPHsf+nMYoxhjxOpL0ExCxMJl9LFfYHS4vFrm8Z2A3CiPur7VJ6wqyLNDpuzgDAeRKfTgPVszpsRNeGHFmIsvYlUl+frOCqkj82gdnhp7nxsUJ+pZHs+swVU7zv/3pPbZbAwcq02Gj1kmGOFJa7EpXqZsoskijY3FnuQVArW3x89vbfO+bZ0/8Xu3vFziOvf0Ds+OZI2vWnb6TiFUGQYTr+XT77qmGxgRBeCbOFCuVLtuDemSza3P9XPlUtZynRUqTk7PKztcjRrzq9B1naIhDAGzbxzBerUEOazD0LghAFNF8xNr4MrJ/TfkqrzHP/JX/T//T/8Tv/d7v0Wq1Dv3+zZs3n/UlvFT4QTzNLooClYbJX326gesFjBd15idylPM6KU1mu2kmj80aKhlD5cpirC4fJ/JC7q22MB2PUk5ncTp3pKqNuafBJYpiVeujPvR9y+P+eou+5TNRSpFJqQgCTJVT3F1txuoRpkc+rSKJcYOyockgQKfn0LNMMikV2/WZLBnk0ipXz5aSgK1rujxYbxOEEXMTmaTpo9V1EsW6+HojFqfzBxpxoigiCCNkSaRruiwPVGH6locoCEnzWzQ4jO3/eUOXEUUB2wlx/YCULhNGEe2+i+363F9rs7bdZb3aQ1UkMikFVRaZLJ9sAtgPwkOTpSNG7LD3M/y0yKbV5D4XReHA4X0nebOTZL+z0qTRtrFsn3W3x/nZPFEUFyg+tTxsx+PTe1VuPqxz7VyZ87M6KwL7AAEAAElEQVSF5F6qty3+8pMNLMfn8kKRdy5P4AchkiggCEKc+BfA90I2an02az0erLeZLBmJopVpe1SaJvMTWb777hzlfIr/5fu3cd2AMIyotkyW1mN1AMfxEwWqkqMzXc4QBAFrYYAqypRyOo2OjSyJcfOeEAcx+4skEDed3V9r0be9uOggCYkS5/5C0Np2L7Eu71te0vSmKRIzY+kT3+uXForHrkmPIgwjwihCgANW7TvsqKDYrs9YPjXkYjDi+eMHIbdXGvh+hJFSKOdTXCuXqTZN8pk4CWI7Pq2ejTmw1symVO6vt4f+hlMlgwcbbUzbJ5dWB25QMufn8qiyyF9/uslatUcurfI33p3F0A8mE0RROLYZqZxPDd0rxaw21Gxezun4QZg4/GiKxLmZPLIkYrs+hYzKejW2XF6v9rDsgImSjmX5bPp9/CCkkNFw/RD1mGawneEu/v/s/UeQZVma34n9rr5Pa9cqdERmRqrKUl2qu6vFDNCYBoyDAY0gYLS2bggCBLfgYmizGhszGhczZsMFhxsARgBtAGgDYIABBi2Aquqq7qpKVZkZWrgWz58WVwsuznvXRXhEeERGZEZkvv/KPcL9CX/3nvOd7/sLRMT4jz/a4cxcgXNzBQz9aGLI8abJ7fUO7ki4dXujzZsXpx47UDxpHf40a/PxNfZZ4P5WN2lA3dns8Pr56hMJeZ7Ha3oUsmmNvYMwtIkj0iGI5LgSW/sDJEm4QI6vN9sNEjL0XnOI7fqiJnVDwjjGCwKaXRdJinH9gIEtnDB//WtLfOetef7dT9aIiYEI149p92w29gbM1QbM17JH9ufjrymT0hKhmGkoqIqEpmq8erbC1v6An9+o0+27zFYzWE6AqavUSk/uwvkiYa6afSYCi1oxRX90f8Ycvd4Pn7smeH5QFQnTOBDKZlLaZ56U9CwxXhPOzOX58Ydb/OzaHn4QMrQ8rpypYHvBkQF7LmNg6IoYuqgiKz2IhFjJ0BUGQ59sSqNWTNFoW9TbNmEEjh9QzBjYXsAf/mydct4kbWr0hx5pUz3V2r2220uS5oa2T8bUHiD+DGw/cW8d2j5hFBGPvi5mDc7OF555Ys24Zp6cxSf4siKX1hOBpixLdPoud7c6GLrKpcVSsobEcUx34LK9PyBjqpy7OkcmpROEQjh8nBwYRTHxKI77hx9ssde2yKQ0+gMvWXctJ6CWN6iVRA/xOMZrnKEplPNmstZcu9+k3bcJghhDV1iaySV9z2oxxcpsDi+ITqyBx/f8bmPIVn1AxtTww5g/fndT9AbimFbP5q0LteQ8dHu9kyQeVQop1EPvtVY+qHHCMBIuo5ZHOWeSz+hs7g9QJIkz84WHisZzaT0hv0qSGCav7fbQNYVz84XnMmQ9Tc2/0xwmA1/LEf3gk/olE0zwaXBpucRsNcNOY8hPPtrhV99Z/Lxf0gQTfGlxvL/10d0G1++10HWZb16dOzFdOo5jfD+i0bWQkXjr8hTZ1LPbt55mZibL0mPJnSfB98OkrxlGUdL3OIxqIZXUTaoqU8zp3Nno0B26ZFMa5xeKxMSEYYzrhzhewJ9d2yGKYt66fGB41ejYgljVHNLqu0RxzMpMnl//2hKpY/u+54fc2ewQxyBJMpWCSa2UIqVrR85hza7NTmOYnLFsV4hMDiMII2zH52fXdmn33YSwPq6jDqNSMKmPiNspQ6HRcSnlTMIoEskaoUgSGSOb1g6SxSV4/XwtIWwtTE0MKyZ4PNZ2e4mByvnF4gOExof14E8602dTGldWSvzzP2xiuQF7rSH3t7t8+415bm90eOPCgYv/mJwax+I6fu1smcWZHB/da5JJaazM5lnd6TG0fQpZg/22xV5rSBDGZFLaAYfBFikGPjHNns1PPtnhq69MkTG1pOdXyhts7vepN200VebcwtFav9FxkCSJxek8Ow2RnFEppMg+hBB22KQkimJcL0xEHIoscWnUV5ZlIci4udZO5prHzybdgcudzTb7HYdy3uCX31pAGxlxybKM7QaU8+anMsI6zHMZf39S/3mCZw/xt4f72z229gd0By4z1QyaIrM8Mizyg5AP7zSIY2HiNFvJMFNOsd91qTeHNLsWqirTH3q0+g5RHJMzNPJpHd1QCKOIft8jCMTnHIQxzdGsfHwP7LWGvHa2wns36/h+hB9GlHMGlhNgOQNMXaFSSBGG0ZG5dhTFVIspZo5xbsZ9B2U05x9/XSulCMKI3tAll9GZKqW5s9HmvVv7qJLEucUiYRijKBLn5gufivw+wQSfF26ttxMzplvrHd66VHvq9bTZtVnb7SNLMF1OM7SD5H7baQ3ZbQ5x/Qhdk/HDmI/vNrDcgJlyGtsNyKY04hiGTsBvXKjx1vkq8sikbnUkqkwZKucXinzv7YMz/7/8T3dRZIkojtEVhcHw6IxszDMAkSA1TvPVFQnXjzgtxjy/MIzYa1voPQUJifOLxRMNaW5vdHC9MPn6rYu1I3XvGNm0LgTtQw9FFqaOT7OePMl+eHx9fBgs5+AsE8fi7/dZijjG72m+Jubajhce6e1+Wmw3Btzd7FJvW8yW01xaKU96lhN8ZkgbKoe00QQR6PrLJzaOooM3EQO2/fKJOAoZg/+4vk6j63Buocg7V15eg/1PezZ6riKOf/7P/zn/0//0P/F7v/d7/A//w//A3/pbf4s4jvlX/+pfYRgGv/d7v/c8n/6Fw/3tLvttG0WRuLBY4k8/2sEaNRF3GhZffWWWtKEK1Tsxza5D2lQp5Qzq7YMY26XpHLYb0LfEzbfftsln9IduaOW8mTQrVVV+aKMA4N52F8cNWZ7NE8cxhiFxZ6PHve0uA8tjppLGyxmkDJVizqDRthk4wg3n1kYvISpbTkDaVMlnjCOu+Pc2uwnZcnWnRylnIEkSnb6TuKfutSy2GwNaPZcLi8VEFWu7ATdWW/hBRD6rUymYR167N4r2PT9yq/b8kKHtkzbV5AbRNYVXzpTZaw25vmbQ7jk4bsCl5RIbe32Gts9ua8jt9Q6ZlEgFWZjKPlbEEYQRN1ZbguRmKFxeLk/iQCd4AJbjc3OtnVzDFxdLz4RwtjSdw9AEkataSB11lmpZrO2KtWNlJk+tlBJECENNRAxhFFPKC6L1J/carG4LN6azCwVmey675gBNVdA1hT/7ZDchLn50t4HleIQhZNIar52rkklpXF4u84vb++QyGs2OQ9/y0TWZMDJYms3xwc19pkppVEXm3laXQtZAV2Q+WK3T6bmEUUS375IyNdp9F8sNKRcMcmkd2w3Y2h+Qy4jfubxSIpfSuL7eRlNlolgUXCdhe3+QkKKtMOArl6do9Vx0TebsXPHI0MI9luaRMlWWZ/PCcftugzAU7ibnH+OOf3hNelL0hh63N9rstSyCQ2785fzRtW99tHaB+LzzWZ1SzjzpISd4jgjDiBtrbQaWx+pOj4WpHDOVDFEUkUnrnJ3Ls9+22d4f0u673NvugQT1ToU4goypkk3ryWe417IoZAw0RRYx4dNZwjDmzoYY+N3f7iJJEq2uw3s39vn2m5/e+TSb1vm1ry5yZ7MLiD35h+9v0Ru6zFazTFXStHsOxZzBTLnEGxenuLXRIQxjdE3mF7cbrO3I2J7PykyeMIoJ4xhNefQ6tzCdpdm18fwA2xUE02bH5u5mh7lqNiGWmoaKock0OlaS1HE4OSQMY3EfP8LNyXYDbq618PyDddhyA26tjdNRDM4vFE9dWO+3bVZ3usTA4lQucR/6tDiyBo0c1U/Q6ZyIncaQjb0+kgRnDsXWPk+Ma9CBJdKTPq9I1xcVaVPjwqJwwLEcnw9u7Y+aljGb9QFb+wP6li9cHoMIxwuIYnE9hyFIUkyMhIRohG7tDyhmTW6ut7i/2cUNInIZHUkSh8L1vT57TSEINzSFSyulBwiQl5ZL3N/uQgwrcwdi8IHts1Uf4Pohri8SARamckfutc8a3YGL5wuHSvkZJFp9WnztlRkyKQ3bDRInu7EDUGly7X8mkCSJKytldpuClPqs1t7PA+PzwdD2ubnW5Nr9FkMnIJPSuL/To1IwyaaOppdKxGRNjaHl0+jZyFKMJis4qkjDNA2VUt5gvT5AkWJShkYhqxMEUrIn7LYschmdge3TGd1jp8Hxn/P88AERx/Gf2dofJMTuZtdJBq/PCn3L49a6IDFUCuYLn141wQTPAwtTWTRVxvVDTE3hT0fn9vFw8+1L0wDUW0Ou32/RGXjoqky1lOYv/fLJaTfNrs29rS5xLNaqrX1hvNLtiySg3tCDWJi+/KN/f5Pe0KOUM/g//GeXk3ve8QJurrZx/ZBsWuPickmk+Coy3b6TpFt5QcSVM2XMURKIJEn88z+8gxeEzNeyfOfNOVw/QlMF8ej2RidJHDmMgeWRMlXiWNQ0QXjg0Pcr7yzw8egs/+rZCvsdm93GkFo5xfmFA6fCtd0+H97Zx/cjVFWmkDWEuB24u9l5aFrpXDUjxO6u6Auu7fQBsMOAtZ0+V848SKz8NKi3LW6tt4njmAuLpQeIMGMcX5PHA+wJJniWkCSJX/nKIv/439/gD3+2PhFxTDDBM4AfRLh+SEpXTiQbnYTDs4dCVme6lObDW/uA6J/96cc7/PZ3zz3we42Ow05jQHfgEYYxN1bb1IrpTz238PyQG2stHFecGS4tl5676FrXFExDEQZ4jiAri735oCfyjddmyWXEnOHCYpGBHSTChe7AY3W7ixdEtPoOUgyqJmOqKumUlhCn/SDi3qinEkQxO40Bpq7i+xFb+wPOL5aOvC4viBKDGlmBj+40CMKIcs7k/MKBWMXzhRFOFMVYTsDA8liYytK3PDKmxq2NNr2Bx05jwK31DlEs+remoZ4o4vjltxb4+H4L3w+5crbCzdUWu60hvYGHJEmszOapHTqbzYzSz20noJgzMDSFtKl+Lo6/E7x86PRd9kZ9mqHts7Hb5/xiMfl/1w+5sdrC9cLRHLGEosgMLI+bDznTB6N7sd13aPeE0CoIIsat+ziOubvVZXW7SzFrIMkSpaxBIWfQ6o5cwQcev7jdIIwivCDC80N6Q5f9jk0UCWL6+YU8iiJSbXYaQ3qtIUEQ0+ra3Ljf5nf+wqvc3uwKToEf8u9/ssaZ2TzZtM797R6vnq0kr3ncQ82ldagK85wLi8WHzuyKeSP5uxm68oAILJPSKOcNVEUmm9K5vFxioy6I8kvTgrhveyH/5N/f4M56m6EjDEGCIOLdm3XSpobrifPYpaXSqfeUkzDmuciyIM3X2xbdgUh5vLRcmqwVzwlRFHNrvU1v6GE5Pqois1UfEEYxkiRRLZhMjcyXdptDgtF1fn21hSJJ3N3q4HgiUbfbt2n1PcIoRpNlVFnCcUMKWYkLi0W29weYhkq5YIgzuCyzPJsnbWrIEuw2LYJQYXN/wOJ0jqHtEwQHwiMQe9naTo+9loUsi8dVZCm5zw/P1tt9h7ubXaIoxjQU+kNPJFUVU4lQfNz3dbyAP/tkV/Qowpg/+vkG33p9jiAU/KbXz9ce+NtNMMGLjCiKE3EDCL6ZEDo+eQ0ehlHSwwMhCDls6hwEosfleCGaLLNV77NZ7xOGMVv1AYosMRglXZTyJj+9tsv97R6KIvHKmTKuJ17nwPLZrA+Yq2XoDjxKWZ35WkbMyWPQMhKvnDvYEy1H1AOuH6LIMrbj0+k72G6ApspkU6enq5q6yoWFIu/dqhPHMaWcQd/y2NofsHKCwenhflgUxQRRjHICfeDsXIG0oVIrC4H12Kj6tBjzQ4a2j6ErXF4pPzKVY3t/wGZ9gCTB2fnCI0UL5bx5RHz+LIX2j8Lx93RlpczSzLM1kbUcn829AbfWWjR6Dhu7ffq2z699demJahV3JOI/zAmdYILToGs9aPhgWS75/MslJNJkiXFIkRTFzE8/+xTu542ffLTFtVXRy2r3XM7OFXjl0PnqZUAYxVy/36TVdcikNF49V3kig94xnquI4x//43/M3/ybfzMRcfz6r/86r776Kn/7b/9t/upf/au02+3n+fQvFAaWx25zyND2UVWZ9d0eQXiUoDcYetzZ6NDq2jQ6DovTWTRVYWOvnwxHQRB2i8cKh/DQYPI4ZqsZTEPB9UJKefPIQSoMIzoDF11TyKV1otHjWI6PH8bs7VrsNISbtnDFD5muZagVTWRZYr4qiEtBGBGM1Pbi7QhiuCxLR8iDY5c4EETKzfqArfqAoe3TGTjUimm6Q5f5WpYoilnf7XP1vCBDbdUHSSHbG4jhsKIIh8Gx28UYrZ7D3ZGzTS6tc2n5gCyfNjUWp/O8dq7KTmOALMnMVTPJawvCiGjkNOgHEa2ujeX4j2w+1FtW4kDguCG7zeEzL2QmePmxvT88cg0/LDHiSSEicR8c2EdRLAQco9tubVfEF06X0uy1LJam86iKxMXlEqWcyc7+gE7PBcShca85xF0q8icf7ghCsSTWhrQh7oW+5XP9fhvTEMr3lK4wW80iSRJTZUH2HkcLR1FMFAnCma7J6KN1yPMjGh0byxUOwFv1AcQxG/UBubTO0nSOdEqlVjKJidlv2/SHHsW8SaWS4uJSmWxKJ5sxcDyfWjFDyjj5Xj28/gDkMwbT5Qzv36zz0Z19chmdV85U0DWFqVKa7sAljkHX5ISUub7XT9bbVtehW3QfGr94HK4fMrA80qZ2qgiw9d0ejhsmzeZC1mB1p/eAiCM69r6Ofz/BZ4P9jk2n72K7Yp9v9R1KWQN1lOr0/o06Xhiy27Rw/JCpQpqe5dIf+pi6Qr1tkU3rhFFEs2MnYqnx5xnFgsi8We9DDK2eSzkvhJCHmzxPgjASTryKLCXXcbWYplpM88m9pogmjWNaPVckb+RNLq+UWZktkEtrdPoOpq4wCCJaXQdFkUakKw1dVzi/WGCukh25zD38dVw9VyWf1tlpDpLB6vpuD2c0UAmjiOXZPBt7fd67WYcY5moZfvWdJabK6WTIUcobDxVQRlFMZ+CyvtvD8w/W4WbXodmzk0jyds+lOzg52vwkrO32kqbYONL9WQykp8tp1ncF8SuT0siccgAShBEbe+L34lgIZj8LEQc8mOwywcnYPFTPdgde4hLXG7h0hy5SLOH4AXEsxF0ZU0bThLN+Pqtj6Cpb+wPevbFLvTUkGtXc/aFLb+jjegH9gYeryWJI54fsNIYPpPLsNAZs7Ik9V1NlVkb/H47uhXxGuElHkXCzquQ/H3Hg9dUm796oj0iiGX71nYXPXcihqvIRt79KIUVvKPb3T+NkN8GTQVMVFl/CZtRxjNeE+ztdrt1v0e67xIjBfT6jszCVf8BJaqcxZKc1ZOgGxBF4MXhxiBmHZFMav/FLS3xwp4ksSXhBhCyHGJpKrmaS0hV6lkcurSVNbVWRTl3PTpfTDGxBVjIN5cRrPp/RD5JSJCjlzCO1yrOuVTcO1efNrkOt5E3uxQm+FBjX8qoik8/oSU9gc69Pt++OBqQSOw2L/qKH54fsNIR41BsRn+5v9Y48pueH9C2PlKGyunNQ5+40LDp9h/ZAnH8XpjJ0eqI+1VRodx2CKKbRdfjTj3b4ta8tj35vmIiTB5bPwPITh9Ch7eMFEZbrU8mnqORTSd36736ympCfNup9fvjhNhlTQ5JEvTse0GmKjCJLI/IKLM3k2GlYxAiHPtM4OBuYuso7V2aS77Np/cTUwr3WEH90XnDdgE4cJ3XQ8Z7CYUiSlLib947FlofR053XHoY4jnn3xh7NzgHh9D//5sqJQ85aMUWzK4xzVEWmXJgYPkzwfPD9dxb5p//bDX5xp8H6bm/SF59ggk8By/G5vtoiDEWS1Stny0dmeg/D8X7DcRFG+JD+YRhFNLpOUlN3By7tviP6AkMPU1cfEG6fBjvNYZKeOLR96m3rmaRjPgqyLDFVTLHTsMhndHJpkSJ8mBR+/Ey/vT/AD0JsN8TUFW5tdDgzVxD9WcunlDWoVdJMlVNEo+IojuNk5uJ4AWEUo2sKcRyzeYKII22oZNMaA8vn+r0Wza5DHEfYTsAf/GyNX//aCkjwi9v73FhrY3sBsgyvX6gxX8uKnmMxTW/gsb3f59ZGh43dHtViGtNU8Q8Zb3QHLmEUU8wa6LrK24cEqLmMzs01MZfPmCp7LeuIiANIBPe7zWHys9Vi6qmSUR4GPwg/1bU1wYuJ4zXv8e93G8NEUDy0ffY7NjOVzJGZW7PrUD00c1NVBUOTkSUJXZNRFRlFEfNHEHV3q+uQNjUKGZEyvjiTI5/W6A0FMcvzQ1p9h07fRZak0RlCZnEqh+sHFDIGfgiL01n+r3/lDX7wwTb/5H+7QW1kRFfvOEiyWDf+0b+7Tr1p0R26NLs2X3919sisz/NDiMW64PkhKVPjjfPVhzp6DyyPbErDnM0BEuW8+UDK3o8+2EpMPl89WyZlamK+HMUEQcRMJcOHt/fZ2e8zdHxsN2J9t88rZyrUWxblQgrXC/GDKPmbgzDE8PyQQtY41TxjYHlH5r3XV5uoIzasH0Rs1gdcXCo96iEmeEo0u05yxnS9kI7nEo72I2GQKjM/JXqk9dFnhASuF9Dpu3QGLmEoTBDyGY2FWpZG1yYYGUOJ+yGb7AnRKEEriqCQ1VmazrLbtIS41BCGa54vUjMXp3JYjnDVB7HHmoaSzKjGPAVVkU+cra/v9JM+4Z9+tAMIYwVZlnhlucxvfHM5mTlF0YEgkjhOkreAIwYOQRjRPcR9mmCCFxWyLFErpZK1tVIwn3q+HMUc3B+AqSukDBXbDUAStWja0DB1FVmSaHRt0oZGOOLvSPJB4nzf8qg3B+y2bTRFxvdDLq8ckGmbXZs/+ukGzb7F7EgAPFfL4vshlXyKRtummBW9pyAUAmfLEa/DdnxqpTS242PoKt3B6R3jvSDiRx9usVkf0B26KLLMVCmdzDSPY7qcTkzAxuLkkzB+/XO1h59T4lhwDAAhGj1Eetjv2InJjOuJeexJohIQNfBmfTB6TDHDf9RcfaaSEYnsI57nZ2UifcB5CTB9hZ3GkOWHvKenxbjH2uq5EIvv99s2rh+SPuV90Oza3N0Ss6p8VufSUmki5PgM8bLvt9EJSUBR/PKZH+m6iqoIrompyex3XC4tf96v6slwd6uH6wVEEQxin/s73ZdOxLHbHPLJveYoAVEiZaq8cubJ38NzFXGsra3xxhtvJEQb3xebl2ma/M7v/A7//X//3/O7v/u7z/MlvBAY2j7b+8IZZXz4liWJq+dr/PTaLsSiORCODtySJI1EEx61YgpJEsPA+FDlNVvLMrA7BGFEylQfO4Q7yeEhjGKurbaSqM7F6RzzUxnev7XP9v4QRRYO35v7A6FODYV7vyrJZDMGsqIQhsIZeL9tIUngBiGdvkMubfDq2QrVYgpTVwnCiP22LVT0Vkh3IJT077b3WNsRpEcJ4Xa/MpM/KEAO77GHvrZcn72mheX4wnWYo4Xp9v4g+b5vefQt7wFiiqbKiUuFLEvMVbMMrDbVfIp+xcPQVYaOjxfEfHyvyfkTHPBPem3ApDiY4GQ8x8ui2bVxRxF2h52lJJJ5gvhegoXpXKLmPzOXT4ZAsiJTKaZQVBnb7eP7EXe3egRBiGlo4oFGZOwxudRyPDoDl5Sh8vG9FgNbrCdpU0VVZSqFFAPbI5PWyaY1ro3SdPaaPWaqGRw34Ppqi5trHYauL8RfkoSiSPQtj1xGR1VkeoOAxWmVKI5o9hw6A5e95pAryyXmatnEHSCX1h9KQpuppOn03WTdzKY1fvj+Fs2uAxLMVbM0OjZztSyKIlEtpFBUsTaMD83SsQ/xtPe64wZ8cr9JGApyycWl0mPJcuPHDqMYy/HpDlxyJyQpzVYz9C3hlJZJaRQnKRyfC1wvZG23J+J+gVxKI0YQfoIw4s5WlzCKcb2AMIowalkysYamypTzJjfut7iz0UGWxXVmewFBEJHP6FRLKdKGylq7z1Qpha4qbDeH+GFE2tR47dyTF4BRFHNjtZU0FmarmSNk2PGlrSkSqztddFVB1wb82teXKGR1rt1rJXWB64dIsXjPpqGNHIBVFqfyLExlT+XctzybZ2kmx3s39ri13mWnMSCf1dltWqMUrQqf3GsmC9r2/pBm12Z5Jk85bxJF8UMJm3Ecc3OtTd/y2GmK+mY8kJSkB5fmh93WURTT6NgEUUStmH4wnvWEx3oUXD+k2bXRFIVq0TyynsxUMuTSukhuyuhP5n54fOGf4IWCJB0MyZBgrpYln/bYbQ5QRoTrMIxE5KUboKsGU6UUpZyB5YR0+i7lgsH/8qP79IZ+8vOSLGO7Pne3e9TK6UeKBeM45uc36kIAFcd0+i4L07mEBFrMGdCHs/N5ZqsZ5qrZzy1h7tqh+363ORwRtJ+dg/+zQNrUJk5zEzw1xkt/q+swdANkScLyAuGsvlDkwlLxhN+RGNo+UhwRHCIUO54gDGw3bXRVQQKiMGJoi2HM1bMVthp9smmdOIZsSkXXVL7x2uypB0SVQoqUoeL5Ebm0diJhWFVkXj1TSdL4AG6stQmCiJShPndx4eQoPsGXAdHI2WdsJrIwdTBsTJsqPcsT64QkkUvrXL/fAkRDfJx0IUkSYXwwrHC8IKnxkWBoeTRG5P8o9vngdmMUBw3nFwqcG7nq3lxr4fo+ICFJDyY/DGwhMs2ktCO18tyxc2zpUL/t8H3s+iGW7ZMxNeJYpGEMnYAoiinmDN6+MsW9rS5z1QytrouiCPdq0U998gWhWkhxc62N7QRk0xpL0zlaPQdZlrh6vnqqx8ilNYo5g07fRZJgfurRg+D9jhCVVwupU9Vc8UhoP8a4z3HSmpxN67x2roLtBmRT2qlIwBNM8DSYKqf5+muz/OSjHf6XH93n//xfvvF5v6QJJnhpsdeyEqKj64c0Os6p0gePb3uVQor5qawwTZLg9Qsn72PVYgrTUBjaPoosUcoZ+GHEx3fFABqJR8/GHvZ6HvhenGO6A5eUqT63JGlFUY6kZD6uHsimNbZH5HJVlZkpp5AlYXy12xhiaMrIRVxO9nRdU0YGLEL06rgBrdhBVeTEKGZrf8Dt9TaFrMErZytcXi7TG3r86IMtWn0Hb+RI/Mm9JsszhSRhsDbqAw/dgMWpA7KUJIHrB6zu9EevVcHzQ1Zm84kwdWOvz05jmLyvKyvlI+9/cSrHXtMiiuLHutWOU9iA0cwk81ROksfhB+GRa+vcYxyIJ3h5UMyZZNMWA8tPCJFH8JDL7XEzt9fOVUcE15h0SuPySvnIbE0I0X1KeYNi3uTquSqqInHtfovOwGW3MSSOBbm9nDeEaVvWZGD7yJJEOqUlxpmqqvKr7yzxizsNtvfFvVQpGKRMlVbXptV1kBUJz4/Y3BswV+szVRbX7/g8NbQ91nZ7yRq33RwyiyDH3t/u0um7LE5nCcI4MXEyDYVXz1QeqOfHqe9jfHi7wStnKoRRxM21Nn/2icvKbJ4oithuWgRBiOX6uP5IcK9J3N7ooKsysiwl85/d5vCxz/3gB3X8c5If9d+PRKNj4/kh5YL5TNaVLzLE2c+m1XPIp3XyGZ2YmJSh0uo5lPMihaPZFSTwqXKaestCQuLScon3b+1j6Aq9oYftitnkXC3L0AnYty2CQMwhNusDkISTs67JNDs2pZxJd+Dx//vjO8xP5Wh1beancsxU0vhhlPQjSnmTs/N5gjAmm9KPCAuBUb64uEDGxhGdfkrcx4eum77lEYRRIki1PSFq/fYb8wCkTZ3zi0XubHRQNZk3L1XHT8DiSMQShhHX7jcTEenSTO6hqZUTTPAi4MycqIPiOD61ydJJ0FSZck7n3Zv7yDJ88/U5ZsuZpD9fb1vsjESI+bROLqOytj0gisV68trZMrIiC5NjL+BfvLtB3/GRkegMsnzlyow4KygS1+83+dnNXaIwZm2nT6VoUsgYRFGMpisP7OPy6HsJcR9nTR9DU1Bk6YnOF1v1ftI/C8KIjd0+c9XsQ89JSzN5So/hD5wWdze7SXJfOW+yOJOj2bFP7LE9ejuUnniG/7zOTI+C4wUJ50WSoPQcDGGyKdE7LWR1OgOXfEZ/pFnnSdjeHyZ/y97AY2D7L6WY4GVEGEZ8cKvOfttGU2VeO1d96fZb6ST910vIrxGzG/F1EEH+JbwHqgWTj+8GhJHotYzPVy8TOj0nqWHHnLKnwXM9GamqeHhJkshms+zu7ib/VyqV2Nvbe55P/0LAcnyu3Rdu1gPLQ9NkcmkdU1e5uFRiYSqD50cUcybbDdEUy6Y0smkNRZYwNBGHOXR87m/3iOOY5dk8ubTOGxeqeEGEoSlPFW08tP1EwAGw37HIpXUypkYURmzsDqh3LBw3SIotQ5NHEWIGl5fL/NHPN8RhO4jYqPdJGxorM3kyaUG8NnWVOI758LYQhkgSLE3nMEoKnh9xc10MiF1PqPfTpkYpZ7DbslBl+YhKdaGWZWj7tEcEbt+P2GtZzNWyGLpKo2MnhBD1GLHyOClFVWSWpnNs7PWRJIkzcwXyGZ03L9a4uFTizHaX9b0+jhtQLaQgFk2FhxWS06U06zt96m2Lct586TaoCT4bjK9hoZY2nnjw8TBs1vtJQ3G3aXH1fAVNFevCymyB1Z0uIA6CkiRx416D+zs9bDfgzkabNy7UmK1mmS6nubhU4t3re0yV01xaEvG3N9fbjF/pbDXD97+6jOcHbDWG/NN/fwPXj5BljijYLTfgrYs1gpFoQZIkNnb7EPuUcia5lI6hK0TRQUyj70doqkwUx/QHPvmsxkd3G5ybL7I8m8f3Y6I4RlflJOnHckOMkRtI2tSYq2YeOnxImxpXz1VYHyUZ7DWtgzosht5QED66A5eb6+2kSCtkjOTgvDST49a6iPKqlVKnPvS1+gduZnEs0oIedxhfnsnhuAFBGOF4IRt7fVK6OnJWOXiPYj+o4QcR5gmH4wk+GyiyhKkrWE5Af+iSNVWiWDQea4UUMTGyJNwveoOQIIxJGyrVgsF+e4jlBnSGDkEQM1VOk03paKo8it2UcX0hPho3H9+5MsXyTJ5K3kR/RKO73haDk0JWPzIQs90gEXCA2OMOiziWZvLcXm+zve9QLabIpXSQYm7cbxGGwinO0FUcJ0CRJV6/WOVPP94jimKqBZM//+0zXFh6MDI0jmP2RulVpbxxpPlguz53Nrs4XpCIQmcqWdKmeH+6piRuXUgHa87jDuSuJxrDAJW8wa2NDlEUMz+VpZw3SZsqttvG8yOqxdQD92Z34NLqOdRbwrFDkiT22zZXz1U5M5c/qM9m8qeO+AzCiGsjNTYIceryMafSp3GiUxWZ5Zk867u9UX0zcT990aCrCo2OjT9yujo/n+OOE3BpqYyuKmzVe3i+qL3DMMIPQoo5k69cmuaT1QbbjSHxSCwWjuOWYyCO8P0I3w+4vdbi3HyBbNogm9YfGJrGMWzs9oULD2B7oXC8UsT1fWGxiOuFKIr8oFjpM4auKdjuwX3/eYlJJpjgeWFxKodlB5iGgiJJSJpM0TD4zptz/MXvXThxEDBTyXBmLs+714/2U2LA8QPCMKJaMOkPPcIwopA1eONCjViCc4slOn2H9d0++22HuVqGrfqASyvlU79mIVx69M8oinwk1eqN85+ud/EoLM/kk/p8qpyeNOon+FLAcvyEMAGw37aT/V6WZZamszS7LpqmHJkeVvImlYKJ5YQYmjhrjDEWAgAQw72tLq2eSxTHtHsOxaxGFEnIcozthnSHQkRwZr7A1t6Avu2TT+ucPyQ+Mw2Fj+826FseM+UMV86Uub/dRVVkZipppsppBpbPTDl9xHH2K5en+ON3N3G9kJWZ/JH6XKT1ecRRjOsH/PjDbTRVodlxyGV0Li+XiaIYXVcecLF9GLxRchkIEUzKVIV7lSHWrGxaQ0KiP/SYPUW/70nqqbXdfnLOqLcsrp6rPvZMIcsy89UMW/tDIGa6nEF9hDjD1NUJOWqCzwR/4dtn+clHO/zRuxv89T935aGu0xNMMMGjcdIs6zQYny1cXxg9lXIGv/KVRTp9B12TSZsn35OqIvO9Nxf4+F5T9PWKKWQ4SNN7zGzsYZitZukNPSwnIJfWyaZUrt1vJuZrZ+YK1ErPfjhfKZi0R677pqE8UkwJIm18rpah3rKRZYlKKY3lhtTbFrVymqvnqlSLKWYqGdo9F8+PmC6LOmZrf0ApJ+Y8kixRyhpkUzobe33+9Q/v0bcEafbHv9jm66/OcvVCFUOXcVyR3hEQ0em7+KGYi1heQFEyyGcNUuY49Uz0+oT7uYEbhKRNlWwqRxDGLM7kMDSF/badODmDSEGz3eCI6UQmpbEyl2evZY16iA9Pt1RlmTAU/RhJAuUZpaJ2+t4D19ZExPHFgCJLXFkp43ghmipSM5pdm+5ApE3MVTOCSO4E5DN6YtLyqJnbeMY5xpm5wpGzQdpUqbcttvYH6JrCL8/mcbyAds+lVkqRMhQMVaHZc5jyU+SzOrMVUTs3ug6eLBJN08f68P/Fd87xg/c3COOYb7w6B0B7JNAOfDGHK+VNzs4Vkut5fJ4a2D4SEgNLGHxu7PVZnMlRzBjcGKXb3FhrsTybRx3dV44bMrD9B+YSqionpnoApi5+vt1zuXa/KQxBey6Vok7GVOlbMeWcwdWzVc7OFdhtiUTFQkanlDcZ38b7h0hFD3vu48imNKYr6WT9uLJQYK8lxAWGpiQk+sfhsNhsd3T++bz7zy8yVnd6tEdu6N2By8XlEm9crIk5cBwjyRL3trpJAoeuiX6cLMPiTJat/QH3t7rYToAkgyLDXstG12QyaZVW1yMIQhpdm5yp0WhbBFGM40bEWUHkdf2IeYRQyw9CJEmilDP56itFokikhiVO9LEQdcxWM+w0h6iyzPJsHkWWuHa/yfpen1xaZ68lyM8rs3nubHYIo5gLSyXub3WRcIVRpKI8MF/8xmuzXFkpo8gS2bSO4wYoipT0Twe2n8xQgSPpMxNM8KLiWSRKR1HER3eb7DaHSJLEJ3caLHwzl/TnRUKdMFdJpzSmiibtjovlhUwVTZZnC7T7ogfoyZIwOh6lbDc6NrOVDPX2kExK5w9+uobt+MQxuL7ETCWNF4jEp2o5dSSVU1Vk5mrZkXhZIpvSuWXIrO/2qRZSvHNl+tTvUZFF/zOKhSFsqWDwxoVH99CexZwgjOJEwAGCdzFOvgOYKon6ojfwSJnqI8X3wmT6gKN49oSE4BcBiiwnnBdNU9CeMiHmUZAkiYtLJXJpjXubXSQZzs4XnyiNRlGO9n2fNslmgidHu+/yyb0mvaGf9N9ftv1W0h68XnT96cV0nxcyKQ2t7xDHwqghfgmVKBeWi6zX+wyHHtViitnnnOD6PFArpUmbKpYToGvKI9OdHoXnOsFZXl5OhBtXr17ln/2zf8b3v/99ZFnm93//95mfn3+eT/9CoDcUsTXqiMSQNlXmawcFU9rUEwLETDkzIn96vHauyspMPhEjmIaaNEnHBF1FkUl9io1I1w4O/44nDn9rO32KWZ0oirH9UDi6KDKGJhNLErIkYkq//uo097Z6vHWxRrNjE8cx2sj5ZWAHZDMGhi4OTI4Xcnu9kwyDXT/krYtTojlXTNHuuRi6Qj6jM1fNUCulWZjKPUDuMA2VNy7UWNvtsdcU4hIQw+tsSkueD2BlNs+9rS6eHzJTyZxIhMyOkgFkSSI9ciseOxC/fqHG4nSO2xud5OcPP/5x9IYinnqqnEaWJDp997k0oCd4uTG+ho+T8D8tOn1BnrBdfxTFHfPq2QqmoVIrpagWD9aOOI65vtpiMIowV2SJQtYgCIVA7BuvzbIwnWW7Pkwe/62LNbZHTdBfen2OtKmSNlXu73SZKqdx3BBNk5PUJRDkak1V0A7tMofvIVWVqRZNtkbitXzWoFQwcRyf9d0+siIiEC0nQJGhVkyhqjK1YpogiIlHzSnb85OGX7vnkjG1I4Sx49jcH9DsiIOW5fjkUjqeH+K4oRi+lFIi5vVQbdMZHMQ3Z1Iab12aeuLP8Dhh4mGRjYeRTeu8craCNfqbxEC9Y7O+138ghlFV5MnB5HNGylRZmMoRRhF3N7uYhhAlul5IylRZns7hB6KJvzCV5dtvzCPLMgtTWXZbm3hBSBjG9CyP/ZZNdl4nk9ISN/2UIXN+ocj97R5+EDJXyzNVSuN4AbfW20RxzHwte6Qh0ejYrG73kq9lSUocbnVNuC+No4qP73HZ0bU+U04zsDcAEdtcyEr0hz67zSErc0JkWswJMti3XleoFg2mSlnOzBdOJE3tNIds7on7vtG1eWWlnBA79ttCoaypMmlDQ1EE+UkaiVq/9bpw9fT9iFfPPjyG/DhU9eC99i0xOJ4qp0XKzciR9s2LJ9/XQ9tPRF13t7oUcwbVUQS54wVUCqkH6rMxoihms95naAcUc8aRxo3lBAcDS8Q6vjxzqrfzWIzXspNe0wSfP2wv4MxcQexjksRUOUMuI1JnNFXB8QIGzsGgQdcUasU01WKK18/X6A18ekPhKGJoMhAzNtHWNBk/jOgORZJcPiuS8U5CIWskrliF7NF7SZKkI6lenyd+6fU5fvyLbTw/5JWzlU/lRvRlhe0GbOz1ieKYhakc2acQiE3w/GAaKm9crIEU47ghnh+SNjXma7mHuqULZy0TQ1exvaOR45oi89alGpYTksvobO71yGaEo9HQCWm0bbpDl639AdmRqPpa2HoiEcfT4NP2Lh6Fp63PJ5jgZYauKUfIPIahHPo/mZlqlqlyBlmSEjEzwFQlw29+Y4XNep9C1uS7b80l/3f8zOoFETMVQaxyvYDuMEp6lKWcQaVgirj6jMFrZ6uEYSicr7MHvbAPbzew3QBVltjvWPzHdzdYnhEDytWdLsaoYdC3PF49U0l6d9Vimr/8/YsEgXjO7f0B9baFoalUCylMTRjGNLsOXhAl62Ucx3SHLkEgzgunFX/eWGslRI/OwOHMrKjVgjCi3XeFuQtC3H1aPKqeanTsJK24fWgQ7PkRlhucasj89uVpSvkOcUxCiplggs8br52rsDKbZ3Wnx//8g7v8H/+zK5/3S5pggpcSc9VMYr5SzBlJb/9xGJ8tjtfFp0ltTqc0vvbqTPK7veHRc8ajZmMPw9iRc/yYu81hUruA2FefxwxNlgUh6LTnA1NX2G1YidFFvWnxq+8sUc4Zybyj2XEEAVaSjjgqqoqMaagU8yZpQ/SGC1md7f0BthuMklRsLMfH0EXPR5ZkdE0hCEQShx8I8ruuarx6poLnhSiqzLden6WcTx15D6+dq9Ds2TRaNrYniKsD26c7dBnYPkEYJTMCWZZOPFMuz+RZnMphuwGbdUEgW5zOPZDoem6xyP3tLlEYszCdfWYka9M4+pqMidD0CwVJkpJrqdN3ubspDObEfZPn6qE1YYzHnemPzzgPo9G1sd2QQtZAlkTqRHfoJfO9lKkKcVbexPfFz4mZZsD5hWLSn+30HQa2SEafqWQ4O19gZXYsSpD4xZ19PD/iwmKJzd0e5bzJpeXSiD8hrunxeWp8r3SHLp2+cJbebVhs7g2S+zMMYwYDn2LeGD8FURxze6NNGMXMVbPkM8IQ9JtX5/jgZh1Fkfn6a2KAsLEnTPoMTcVyA9SBxOvna4SjdL5S3kBVZVKGylQpTTFnMFVKJ6IuU1cOTD6fwDRnvH6MP6fcyHn9SXoxnUNnqiCIsJzHC0i+zOj0XWRJYr6WJYpjLiyWjojzwjBiYAmztnEi/dJMDkUWHKC0oVIuGDiej66pzFQzTJdSqKpC/56YL8RRTD6tkzI0gkj0JX0/ZK9jUS2YyTotyxKXlsu8caF25DM/nOzS6NhcXimzOJ1jvpY98nPnFoojV3fxb52By1wty1cuTxNFMe2+gyoLHkMmpbMwneWNE9IwD18vx8/c+tjIIhE+TQyhJvhyYGD53NvuJXy8a6ttfvObZ5L/H9oByzP5RACx2xySSeukUjFhLHgrubRGFMfYikiL0DSR5BtG8O6NPXpDD11XRnuZuFdlSSRWffWVuaQveHhdT5saSzM5dptDNFWhVkxhewFz1SyKLDN0glPP+rNpg4XpLHvNIYamcmGhdGpjxU8DRZbQVPnAYT2OEwEHQM/yeP386flfM5UM02XRb31RZ/jpEedlfL1k089vpjhbzSbk/yf9e5ydK3B3q4sfhMxWsw+cZyZ4frBdn3pLiKpA8H9eNgSh/+C/BSfFc7zYqI04lUEYkk0bL2VdXc6l+Pbr80RRhCzLZMyXj8dQK6V4+/I0ra5NNq0/wOc8LZ7rKvbd736Xn/3sZ/ylv/SX+Bt/42/wu7/7u3z1q18Vm7dl8d/+t//t83z6FwLjAaSuKcxWMhi6QrlgPuC2DOLwc36h+NDHepab+Npuj1ZXDArTpkq9Y1HOmQxtn639AbIqU8wYpHWVG14LQ5PJpnR++ztnee38FLfWO9ze6DBTTqNpCqHlkzNUEbecN1iayR2L9oqTBRyEs4YkjQqAahZNVShkD5w3TipwxsPbfFpnr2lh6CKyOJvWqZVSLB1yEDd1lVfOnExaA6GYvbnWSpzxb220OTtX4EcfbjO0Pc7MF3n70hTLs3laXSch5z4Mg5Gb+TgObuj41JiIOCY4Gc+aXJRJafRtn639YSLKurXR5vXzNeBg7fCDiLubHbb2B4RhLIYmo9tycMiRf76aJY7EgS+f1Zl/iEqwVkhTypm4RsBGfQAx7LSGXFkuH3H0Tx63liWK4sSBf6aSYWD53FhrszKbZ6s+YHE6TyFnsrbTQx859ZYLKQpZnYWpHJIk8bNrO9huSClvcnezy9D2malkUCSJge1RyOpIkpSsGYdx+H2mR4KPajFF2lRZnBaPf1z0dRLZ8Uk/w3LeZGE6S7fvkUmpp1Yi65rCoY+J1CjafoIXD5VCCtcP6fY9ZqoBuZSGJEmszOV5/XyVlbkCH9yqM7A8SjkzGQJm03pCXhIurRJ926UzcLlyjFCZNrUHCNm3NzpJw31ot3nzQi1pWhy/Vga2n4g4NFXhwmKRncZQpFM9xHlttpblq1dmuLPZJo5jzs0XkRURcWrowlEibQpB5NJMjtfP1x55fxx5TTHCiWvUoCkVTBRFIgxjijmDTEqlkDWYLqcxDRXTUPkL3zn3yM/hJKiKzKXlElv7A9o9IXRb3e6RTWssz+STe/yk1z10/CMNX9cNiaKI25sd7m13qRZSfPfNuRPTUHabQ3abwlW3b3miBhz9/VMjV9+xiOZpUjcehRe18TMBZEyN3sATn5EEmZRKpWCKdIy9Pq9fmML2woQwUS2lqBZTzE9lSZkKC1OiSSkR0+3LZE0FLwhF1LkqIyHq0UxKx3LE/XZ8P5RliVfPltnY04lHArAX1fGsUkg91X0/wQFurbeTFKNbdps3Lz56nX7RMbA8fvjBNpZzcGb7IuDSUpmt+hDbDcimNWYqj3bpqLdtUobCwBIRuQC6AucXi2TTBmkzZmt/QDFrkjI1dloWZ+cLdPsSXhCSNjQ0VSYIosdEfH+2CIKIP/nFFvW2SNn8zhvzD9TzD8PLcF1PhCYTPCvomsKFxRK7zSHqyMVtjLSpcW6+QH3krnn1fJWt/QFBIFyjSye4aAdBRDEnennNrkM2pbE0naM9Moy4cqZCFMWs7/WZKaeZqaRo9b1ROp6cuN1OV9JC3DHCATFIIgoj7ENC1XbPZaYyqqFjUXcbmnLknh9/PVfLJu5FkgQ319qEkUga6gzcZKgYRTGVvOjFtXoOi9O5x9Y4QRgdceoEKblXVUUmlz7qXv1pMbR97m0JMlvfEgLflD4+D0qnTszIZ3TeuPD4PdDzAn70i22aXYfZaoZfujp7xIBjggmeJSRJ4n//G5f47/7Bz/iX/+kuv/Wts480WplggglOhqLIXFwqPfXvf5p6c/y7+YwYOjdPMRs77WMe30efdS/sYc/7KGw3BtRbFn1LOOdmUzrZlEYcRaRMLTlLS7JY48Y1x8DymK5kBPlZVZirZtBUMfudr2ZQFFFPtHo2lhNQyOqoikJn4PLV16Z5/1Yd1w8xNYWLS0WR5CFJvHaucoScexyqIvO1V2a4s9lhbbsHkkRvIPpHM+UMU+U0cRwThjGz1cwj66Cba+2E6Gc7gTAXOIRsSuPquQfJs8dx0gzmUcildVbm8jQ7DqahsPiYpJSnheWI3sHA8liayfPVV56Re84Ej8W4lh46R2cT4+8fdm8+6p6VJIn7213ev7WPIkl87dVpZqtZpGMdDdcLjxi0GZpCMWswsHwWprPMlDOoqszGXp++5SNJEpIkEiE8T9wPfcvjjQu1RNjg+iGeL/4vl9aYqmZYGgmfHC+gb3lcu9/k3EKRpZkc7Z5OIWuwsz8kCONk9lDI6gztA+HEq+cqOF6QpIpu7w+T2cnAEv07VZGPCErGdfxXLk9z7X4LxwuRZYlz80VeO1dhsz6kmNU5u1hgbbtPOW8QRRHVUorF6Vwym1iZLSBLveS5n4T0ePxzetI9J5vSknOiLL84RkIvKjIpLTFy1FT5AVGCosiYhoLjCpM4RslJYRRxf7uH58fkMwatnkfgB3hexPJsgdlqmm7Pwd8NyaV10imN6VIaP4iYLmdo9ix6A59vvjZLtWRSbzmU8wZXz1WRZYkwirm/1aVvefSGHqYuZtmyJDG0ffIZPbk23r9Z595WB0WRKWR0Mik9eW9jyLLEdmNItZimWkyjKNKRWedpkTJUzi8Uqbcs4Xh/Ah9rgs8Wk17os4PjBfzg/U26A4/F6RzfeG02+T9VkVFkiZFvG8ax2mx8v425bNWCCRL4fkQ+o7O620vSFhwvZGkqx3ZD9ByXp0WKGwjDsHxaY6qUYmj7FHIGl5YFb0FRxNz7+J4yU8kkvJit/T67LbHfmbpKKWckgobHIT26v8/NF8V7+AwNlS8tl4QJLMJI8c5mN5nvZ0dr2vHr/FE18os+wz/Mecmk1FOlEn8aPO3fwzTUhxoZTvB8YegqpbzBwPaRZYlq8eXjxmbSD85InuRc+6LgleWi4CN5EbOVzEv5WYzFypYteKSlUxiRvGiQJImV2fxTizfGeK4no7/7d/9u8vU3v/lN/sk/+Sf823/7b5Ekie9973t84xvfeJ5P/0Igl9Y5t1Bgv20xP5Vhvvb0zc5nhWbXZrcxxA+EK0vKUJkqiuJoppKh2XM4M2ewlzdwvBDDUChkdCqFFK+eq3FvuwuxUJ3uNi0ur4h4w0LWYGk2zzeuzh1pDpq6gqbKfHyviSJLfPetBTw/pDsQ0cPVYoqz8w+PCtvaH/DDD7YIwohLSyXevjRFFEXU2zblgsk7V6afmHgWhlEi4ADR2PnZtb3ERefavSbT5TTzteypCsdizhDqwtFDHnc0fpaIohjXP4ijnWCC5Zk8ErDfsihkDRRZotmx8bzgCLF4s96nN/SYq2XZbgyRZHHPy5KEaSjJQXrsvvQ4LEzn+KXX5/hff3KffEanWkzRH3jkM/qJTT9Zllg+tmldXC7R7Ds0Ow6lvMHZ+SK2G+B4Ifm0Rimf4lffWTyiGP3e24sMbZ9P7jUxVIWN3oCP7zZFGk4xxesXq2zuDfD8iFLO4PtfW0qIEPm0aHhpqnC8OjOXf8CRqlJIEcciYSeX1p9ZnPdcNcvc4+ceR6DIolE1sH3iKKZcMJ/r+jLBp8P4Mz6/WGB7f0gMzFYzSJLEdDnNb35jBYC9loXl+BSzBvmMztdfnRb74tAln9a5vFxB1xS29gdczjzaGdv1QoIgIopjdBT8kdsSQD6rJ40VJB5QXheyj1djR1HEdnNAu+/SG7pcX21hGAoz5TRvnK8SxWLgGUUxs5XMY5txhaxBuyeazrc32nxyv0nKUPnOm/PM17L8ylcWubPRIZ3SeP1c9ZkdlnJpncvLZYaWn8SFdwceUfRoRX0+rSdii9lqJomB321a+H7EZr1PylD41htH0+XGA5zj/zaGpipcWSlTb1tJnOwEXw4sTGVRFUF2LOfNZDi/PJtPHBoHlkezZ9Ppi+hwQSbQSHsBnb5Ho+sgSSRESz1UqBRMijkDXZO5vFwhbapIEvyLP7qF7YYsTmf53tuLyet440KNYs4kjCJWZgtP3CTzg4gwjCaDthcccSzODWMEYUQYRcjyy+tC9tNruzS7B2e22Ur6pYxWPQ7TUPnu2wvsNAbI0oM183HMVLKU8yZ9y8fxAkxd5dUzFYIo5p/9wS2mSynSKY1sxkDTZBodm4VajplKhmxaJG92Bi5TpdRzT+F4Enxyv8nGKLFrqz7g43sN3rz4xRDq3Nvq0ujYaKoQlz6KnDXBBKdBMWc8lBxdKaSOnGMPG8bEcYzjiZ7SbmPIj36xnfTbClmDoe0TRhHfemOeG2stgjDitbOVxMU7jmP+5x/cxR8RmTbqAy4tlygXTJEe2baS4ezVcxXqLQsvCEnpCsuzB32GccoHiF7BjdUW63t9dEXhO2/NPXRtv7BUIpPSCMKIWjHFh7f2ubXRJps1mSkfvOcoinG9gCCU0VX5oeQPVZHJprXEvXRxKkelaDKwfApZnYypsdMcIssSc89gvzl8JgCo5lPkszpBKEQ2z1pY++GdBtv7wg1tdbtHpWByZeXTDzj9ICIII0xdeeGHzxN8tvilq7OcXyhwZ7PLP/y31/h7f+Wtz/slTTDBC4PxXOdR+9KLhKlymqlTkqpOg1xa58Jikc7AJWWc3uToeWFgeWzs9vGDiHxaR5IlasUUKUPF0FUur5TZaQyRJEE6/sH7WwxtH11XWJoRKZcXF0u0+w5LMzlkCf7T+1v86UchC1NZzi0UkCTYV23yGWG00RlAtZji+19bYmd/SMpU+f47S8xPZU+9p+bSOkvTOXxfONgPLC+py6qF1KnEc2EUJwIOADcIk0SC02KvZfFH727gOAGXlor80rHe6KMwVUozVXp219ZJ+Nm1Pfbbondwc63NTCVzqpnXBE+POI65u9Wl1XUwNIW5qewRR/xP4wrreAE//sV2kubzow+3+cvfv0ilYJIyFbbqDrom89r5Cr4fJT9XypnUSiksx+M//HSD/tCjVkrxy19ZRFEkXC+knDeTNHPxPsAb9dKiOMbQFFKmSn/gsdu0yKQ0FFnG80NkSSYaGeKt7fQ4v1CkkDVQZYml6RzG7QauF5A2Nd65UmNjb5CQb+ePCZjub3eTr6MoTjgcH93Z58M7DRRZ4q1LU5ybLzBXy/KNq7Ns1vuYmsovvTHH8kyeq+cPxFgyMn3L49xC8QEyl6bKnHuEqejzxPJMPnE0rxVTSZLJBCfj3HyB7cYwOS+exAu5vCz2qziOSZnq6KwWkzJUChmZ3tBFVySIFSDG0FVmKll+5avLtHoOe80hU5U05xeLrG732GtaTJUyrMyo/MpXl9APnVHDKMZ2Axodm9YoVdJ2fe5udtA1hUxKS8zp2j2Hf/3DO3x8r00+o7EwlSMIIpZn85j6QR3gB0KAMhZOgkirOTzrfBKU82YiWJrg84MfRNxabzO0fbJpjUtLn01qwhcZ792oU2+J2ubORoepUjrh2KVMlW9eneXGWhtJgjePmX6U8yZn5wsJ9yUII1RViBIURaLVdVhvC1f9SsFkppahNXBRZZmz82JO4QcRsiKRz5lcWCzhBSGGrnB2roCuK8m6/qh0pyCI6Q08giDCDyIcL3zozx6HaahcWi7T7NoYmnLiWSIIxeM+615V2tS4tHwwQ7m8orDfFmKx4/3L7sDlD3++gTUyof3ltxdeSmL40/CanhaeHxLF8amNbSb4/FHKmbxypkyj66AqMq88g17zZ42MoaOrEl4gDg6GJmGaL981uLbXp9GxCUecLtsNEnHZywJZllioZfGC6Et/NvhMr8DXX3+d119//bN8ys8dQRix3RhiOwGWE1LKmZ/rsN71Q+pti/tbXYIoRpElsinhRt/pu8iyxOXlEucWirR7DrYboI4cOs2Rq4TnhSJZpJbFdnxeOVPhG6/NEkYxlULqyMAxDCP22zbre31URUQ33tvqsDCVTZwrGh2bct5E1xTq7SHFrHEk4vnn1/aS2KKba20ypoosy0lhttscPnHzTddE8kd35FJTLaZojpJJkr/VExSNubTOlZUy/aFHJqU9t4iiMIq5sdpiaPsoisSlpdKpI+Ym+OJCliVW5gq4fsh+x+Jn1/ZAgv22w69+dYFqMY3jBWzs9gjCmMXpHPmMzlQpTSalsbrbw97p0xt4vHau+kSkgbPzBc7MFZJkH3iQlHAS+paXxKOamsp8LcvW/oDuwKWUN/n+O0tUCia5jE7uhGt8PGTIpnUcN0CRJWRZojv0+PBmg77tM1tJs9e2+Om1Pb79+hyOF9DsuoL0HkZcPVc5MVIcxJrwoqhU81mDX/3KIq2eg6Erz0xUMsHzg6YqjyRfHhcHztVy/PrXl2l0bPZaVtLg8MPHR/bJEkJciVApHy5sSzkR6z20/YfeS8cRRjH9oYeuyaRNjbXdPlt1QaZ0vJAghPmpLGlTwwsiUoZ6YrrYwzBVShOFMau7XSwnQJLAsn3+43vrfOv1eeYqGb795umHfk+KfFZnrprB9UOyKe2xTUPTUHnlTJlO32Xo+LT7Lut7fbb3B2iqgizDer3Ptw79zsZen53GkKHj4/mi9lMUifIx1XgmpXEm9XAR6wRfTEiSxGz1weai4wZUCiYZU2OuluW9G3t8dK8BscTqdpcPb9fZb9tEsbjvJAnCCHIjV6vl2TwXFkssTedEOo4s8cGtPeyRs/TG3oC1nV6yNu137GTvrhvWE9XSrZ7D3c0OcQylvMH5heIXmrw3tH1B6jjkIPayQJIECWVMXCjmjIfWPi8LXO/o3vgkjf4XHZ4f0um7xLHYjy8sPvzeunq+yo8+2BB7vyozGO05fcvH8QOGjocUS+SyOsWsweWVMpoq43gh5xcKzFYzxJFIxnxRal7giOgInuxM/iKjO3ATwwg/iFjf63N5+cURz0zwxUMYRvQtP6npk38fpdIOLOGSdWejk5yt37tZ58JCcXTGDmn3nSOufmPEMcyWM3R1IcweOj6r2z3CKEZTZGYOnXXOL5bQVIVWz2FhKksxZ7DfsVFlmVopRafvYrsBQRjxg/dbAHhByM+v7/EXvnOyYEKRD0wnml0bTVN49ayYKvrBwZqRMhRurbfpDDzSKZXXz1Uf2o+9tFTiF3caSLLExeUSQRihqSK6W5g/PLuaPZ8xMDQlWe+mymlqz9E98Hmsq+2+w50NUQsWc8Yj96sJvnyQJInf/e2r/N/+Xz/iP/x0nW+9McdXLk9/3i9rggk+d/hBxI3VVjJvu7JSfiLn8y8KSnnzxFSwzwOuH7K1P8AaOcLXSmkWp3PUSilkWcKQlcRFca9lkTFVhrZPxtCSc+hYVGs5Pv/rj1cZWj5+FHF7o83CVI7vvrVA3/bYb1qkTJXpsjDUOj9f5DtvzOP6Ic2uQ6vnoKoSZ2YLFHPGY/fVfEaYeIDG4nSOSsFkaSZPPnO6WaGmyslMGIT440n38h+8t8HGbm9khuVyZr7wQhksPFgDPX5mNcGnQ6fvJr1G1w9p9xxeWSnTewZz8yA4EGbAwXzQcgKmimlSukgbNTWVCws5ugOXlKkmLq4f3mrQH6Ue77dtbq23jyTN1EopNsczEDfg5lqLvZZFHMOrZ8tcWSmzsdunb/uJyZrrh0nC+vj3PrnfpD/02G4MmC6lyaZULi4WqZZS5NI6pq5heycTq2rFVJLqLX5WwXICPrzdAKDRtvk3P7rPd96a5+xcge+8Mf/ImWGtlHqu54ynhSxLnyrd6csGRZEf27fXtYN55MKIlwMxnhey0xwShiGaqlArpVBVhTvrHX7j68ukDJUFL0v57YXEqOncXIGbo1Tni0vFIwKOZsfm5lobRZHoDFyyKQ1VkelZPildpZg3yaRU9poWzZ7NtfstBrZYi9t9Fz+IqBZSeEHEmTlhftfo2Il5rOeHyWw0n9G/9CS+lx27zcPpQj57LWtiZvcpcbyfc5iPI0kSX7kyzdJMHkniRLFsPqOjKBJpU8PQFHRNxvVCSnmT//juBtFoo623LXp9l0JGGMfWOzZz1Sw9y0PXFS7MlJgqCkPWtKliGuqpP9vxfM32AkxDQVOfrP7MZ/SH1ru9ocet9TZRFJNL61xaLj1ynud4AbvNB7mJp0E2pZF9yHz/vZt1rNG1v9scsrrT5fzi06csftGx2xyyvisERTOV9CRB6SWBpsq8fXmaVs9BV5UXasZ4WkRRRDlv0O6LM0KlYOD7IcZL1qf58HYTx/WJge36gNsbLWrF52uY8KxhOT43VkVSaMpUubJS/tIa2j/Xq+/KlSv8/u///onCjY8//pi//Jf/MtevX3+eL+FzR7PrJLGQQRix0xieyt3AcYPEkeZZCQIGlseNtTb19pCd1pBSzkSSFGIEQaTTd0GC4uj5SnmTEoK41O473FpvI0sSja5NLq2Ty+i8drb6UDeeMIy4ttqi3rLYaVhkUxqGrtAf+ofTTAEx9P3Dn61huyGSBN9+Yz45cMbHfjo+/suIv22z66AqUhI9/DhcWCzRHbhIkkQxZ6AqMj/6cIswjCnmDBaeUBgiS4JErjxHcle75yQHnjCM2W4Mubg0EXFMIHBhsUSn72KaKildpWe5/OjDbb731gJ//PMN2gOHVs/l8lKJlbkCV86UubHaYr9lE8cxe60h5YL5ACHbDyIxSFCkE5uBr5wp8ycfCheccsFk4VDiUBTFNEZuydWCGICs7QonDxBr3bg5NFfNUMwZTJczRxyjoihKYoLHyKUFIb1veRi6zFQ5TWfgQgxRLNaNge3TG3oYmsL1vImhKwRhlBzu+pafxLY+L7R6Dp4fUimYn4o0+SQH4Ak+P1iOT6fvkMsYpxJMHEY5b1LKGUSxcKFAEvfE4xAjRBVRJFx2jiuUT5O2MUYYxVy/30yGlyfFvaUMJXGxiU/akDn5vh+jO3DZqPfpDz3Wd3ukTQ3L8XG8iDiSSKc0/twvrRxxW3iWNdFMJTNK4BBORKdx5EmbGmlT470be/QGLlEs1kVFllFkmUL64DWNaz2AjKmhKcKlJDcia00wwUnoDlxurbeJY9H4ePVshZ8GEZYdEMcxrV7Ev/vJKpoiSJDFrIEXiJr50lKJIIogBl1VmK1mDhEUj9ak46akqSvJYBJgpzFMkmZOg636gDgW+3O7547clL6Y9ejhBmI2rXF5ufzSCTnOzBUo5UziOD6VI+eLjlfOlPnRh1tCRJQzmP8CDH7Ffe7wyd0mmib2lk7/0feWLIOZ0kCSaXRt9tsWjbZNGMXkswZRDIYmM1VMEUYkdWgcC+OFavHFvI4vLZVY2+nheiG6rnBp+Ysx4HigZDq5hJpggmeCMIq5ttpKepFn5goJeafTd2j3HAa2j64qdIcumYcIGx5S6iPLErO1TJI6Vy2YbI3q35gHzwil0Vk8k9LQVOVImsW477jXskaOnj6KLJM7JQHxOKbKwtVZCNNdfvzRDmEYI0mQMTSunj/ZQu5HH24lKUCNtkUxZxJFMYoi8eqZyjNNHtNUmVfOVugNXQxdJZt6vkY/l5dLbNeHeEFI2lCPpLKchJP6L8cxrgVBkPX6ln9q0ugEXw68erbCb337LP/6h/f4f/5/3+X/8fe+y/ykpzXBlxzNro3tjuaEQcRuc/hMRYIvGgaWx8D2yaV1Ms95r3tSjPc6SZISspqYi+onmm6AECl8cHsf2wnQNYVayUz6pmMC6nZjwG7LIpfSkA4lkufSOufniwdpyYCmiVTea/ebRFFMvW3R6bt0+h6L01kuPIboJXpH1QfqifHZMgiFi/LD+jzNrkgHKY2MHp6mV9AeeEk94Hhhkmr2ouCVlQrNrpj35jIivWSC54uTjg/ZtP5MeobZtM7KbJ7VHZGYceVQoqiYzQuzqzCMyKS0B9adB17bsTPLXC1LNq3z3o091vf6fHy3gRdETJdSbDeH/J/+/KucmS8QjHqhSHB+QSTxDCwfSRIzvE7fpTtw6Q89bCdkqpyi2XPE/LLvcntD9H91TfR/D88Ml2byFLIGYRRTzI7FXEKs4gcRlhugKBLEwkTqrUtTn/vM8HlwWSY4HR52blMVmdlqBscLyKQ1ZqUMubTKen3A0AlBCimP1vyT5v2yLHNlpYLtBnQHLn4QU8garO30+OR+k1bXIZfWKRcO0oGbHRtFlgnjmP1OzAc398lnde7tdKgVUmRMVcwLUxpLs3l6A4/e0KOQNdis95MbVNdE0pWhKRSyjxc0TjDBlw1XzpTZbQ0Jw5hsWktSOMYY3/8nwXJ8rq+2CMMYWZZ45Uz5yBowVU5jGipxFON4Pu/e2MOyA2RZJo5ivv7qLJWCiaEpZEwVQ1XIhIKP8Djyth8I0bIQaQkDmFxaGKZFz7BHvr0/IBo9YN/yEuPYk2A5Hv/qB/fpDMTr+v47S49NRj+Mw+/pcTyDZ/kev4g4PKvebVrMVjMvvRHdlwWmrj6T1OrPC7quksvo9G3Rp8mn9ZcyNcdyPEae+MRxTG8kXH+ZsDNKnQOwnYBm13nAFPnLgucq4ngYuQ/E4eLLUHwfJ/SfJibO9UM+ud8kDMXfb2U2/0xiizfqA/704x1aXYcoFm78c1XRmJAk6YEiZq9l0ezY7HdtfD9itzVkvpZlrppF12Qur5QfiLTab9tYjk8xZxDH4gZLmypTpRTtnkPKULi4XGS+muGTu02Gjs+lpRLdvpM4Bccx3N3qMFfLsNu0mK9lubnehljERl5aEcRzywlIGeKxr48G1GEUISEaLjOVzCPj2mT56HtemMry9Ven6Q58zszmj7gLPA4Dy+P6akv0fUaEuufRsHjgenpBSGR9y6PVdTBHn8eX4d5+1gjDiJ3mkCiKma5kjpB9bTeg3raEq2Ul81DyoCxLIj5YVxnYHt2Bh6LI/PCDLXqWj6GpTJUUYgleOVtBkSW6AzdZq8MwTtxoktcVxVxfbeK4IQPLI2WoXFwuHTnYrcwWqBZS2G5AKWeiqjJxHFNv21y/3wQJ0oZGq+tweaVM/dDAQlFkcUiLYrJpnfMLxWSd3GkM+OGH2wyGHoaucOVMhdfOVdFV8TuXlkvYbsD8VIY/+cUOcRyjKDKXFgts7A/ZbQiHq9lKhhtrTeIYsqZOKS+aP89bvTl24wfYa1q8eq7ypVWMfhnQ7bv80z+4Safvkk1r/MXvnX9ikoIkiYQlyxGufKch/SuydEC8ksTQ4iR4fshuc4gsS8xUTiZrDywvEXAA7LUtXj1T5u5mht3mkGpRuEfV2xYXl0oPONm2ew69ocfabpf1XXHoXp7JsjRTIJ/VKeVM9ts2cQyGppJJaXh+xNAJEgcry/bZrPc5vyCGlYdroiiKSZsqhZzBdCn9VGSqXFrnjQs1XD8kZahPtI/ud2zhYhTHlHI6M+UM+ZzJxUMEU0mSkKSDOVDKVKm+ZGr3T4vTXGsTHMX4vgAxlLuz0aE7dGl2bTw/RFVkdE2mkk9haDLNns1cLUMupaPIMn3LZ2h77LWGeH6F9Ki8ffvSFH/83iaeF1IrpegPvSSFrm975EZCRkniiWq3dt/l3et7+EHI/FSW1849GJPaHbh0+sL17iTXn5cFY9EpCMcoy3k5BStfBPHGGMuzeSoF80jd+bJjbbdPvWWx17aI45il6TyuH7K5P6CcM5NewPi+SpsajY7N5aUyP7u+R71pEQGxBGEMYRCjqhBFIbfWO+i6TD6jE8cxV86UT7zfDz/25+nUWMga/IXvnKU78Chk9S9MhHYhq1POmyNhvPzEhhETfLlwa71Ns2MzV8s+0QBxDEEYOqjp620rua/DMGZtt58MNeeqWQa2RxjGXD1XpZQzhVGCpjBdSrFZ75/Yo0jMGOIYJNGH6A99ChkdTZVZ3+0hSRKGrrC6LYhWsixxbr5Az/JQR72NcS1eLZhEsTAqURWJNx4itjiOUs6kkLXpDjw0VWa+lk3OKDuNYdJXjWPoDt0TH8PzgkTAAXBjrc1XLk2hKDJhGNPsOc+cfK6p8meWsFktpvkvvifW1VJWR3/Euvrz67vcXGujaQrfeWPuiJu25fjsd2x0VXlgH3lRepMTvFj463/uCjfXWtxa7/D3/8cf8ff/+ld59eyD54YJJviy4Hg//2UzB3gSdAduMs+TJEG2/izO0Y+ar4zxpx/vcGezQ0pXePvyNAtTOTw/RJFFMkUQCoHN8cfYb1t0hx6+HyUGGduNAX4Q0ezYEIvk5e39IX4QMVfNcna+yFxVzHJMXQVJ9BhkWaT1/tnHO+w0h0wV03QHok6RZWj33MSNvNm1GYzEksfntyfVE6s7vSSJs96yePVs5YFrbW2nx93NDpYbUMwZfPPq3FP9vV9ZKfGnn+wShjG1UuozIZOHUcxuUxA8psvpR54XF6Zz/PZ3zzK0vzi9gxcdpVEyTafvoqoyC1NPd014QSREFH7IlZUymqrw8b0Guq7wvbcXyKU1ijkTy/FpdG1Wd7t4fshOwyKT0ri50eFXv7JwxFX7tfNVdlsWlu1TyhlcWhL9/CiK2WtZOH5AFMbcXG+jqwpDOyCKY4KRwZ3jemiqyYXFEpbjJ/f1dDmN7QZoqkxv6NEZpQ2M0wd3GgPOzheI4hhDU5L+r+cLMchx7sdhXoEgiIqf2dzrI0kkguwXod/ueMFz4bJM8GgEQcR/fG+D3aZFIavz/a8ukjYf3GPvbXa4td6mkjcp5VLMVbJ4QYiqSJx9jLDfdgP+03ub1NsWWVPjzUtVrt1v44zEqH3Lo1ZKcX6xwNb+EF2TuXavxepulyCIyKU1Wn0HVVLY7zjUCibTlTQXl0ooiky9bVEpmEjSwVykmDNAGplAPGQumuyJo1njBC82ZirpJH01baqT9eEZYKaS4be/e56+5VHKm4/lsu21LO5vd8mYKvmMnqzXURSz37YwdBXXE0aki9NZ3r1eJ4pi5moZXC+kZ3lIQCknUnfyGbFHZVM6SzM5HC8kpYse0U5DmIfUiqkj3IEgjLh2r5UkpBm6wtJsDi+I0BT5mYq9H3fectyAvbaFqsjUWxZ3tzq4XoiiSLx/s37qHmwQRnxyr4nnC8LxbDVzJDHpzQs1Wl0b2xVz2bNfEOF+vWWJmVzefKZGLrIkEY3UfNIjeC4TTPA80B36yRylO3yxTAlOC0U5uGckCTL6i2WicRooikx34OL6IRlT+1LPGj63ifgnn3xCLvfFH1xXCia9oUe775AxtVMN/noDLymiAFp955kUtqtbXYa2j6HJDByfoe1TypknNlK29wds1gfsty3aA5epYgpikcqRMUXs6fEG2V7LYm3kgrHXtliZEZ+vIsu8ebFG3/JZmslxfqHI9bU2liMWwXvbXV47e3RAmzY1bqy1kwXz6tkqV1ZKybDxtXNVgjBCVWQs52Bh3d4f4vkhsizT7ru8fr56alLa+m6fa/fb+EFEZ+DyzddmH0oQtZyA927s4XgBl5fLI7fB0X/Ggtz2PEQcpbzJdDlNo2uTMtTHRmh+FhDRRq3k/QdhNHFXewrc3uwI931Eo/7q+SqyLBGEEdfvtw7igd3gkc6JZ+cL7DYtPrhdJ5/WOTdfYGj7eH6AqogNr5wzk41vYSonmpReSMZUmakcKPQtx+NHH+6wttOjnBdkOUWREpHF4SHBcUed7caQjd2+UE9LsDydo4cYpuiakkQ+GrrCmxdrwIONx59e28Oyfe5sdgjCmKEd0Ok7/Oo7S4A4fI1ddf7LX8mIA99Ima3IEh/e3sdyfO5sdFjb7WPqCjHCEfDycplK4fk2edp9J/na9UMsJ5i4U36B8f6tehJBP7B8fn5tj/nvPflaKEnSEzUtzs4Xub/VJYxjFqdyaCc0baIo5vpqK7nv+kOfK2cO3KrCKGaz3qc38OhbXpIiYmgKsizza19bwvEC1nd6tPpC+DWw/WQfBkZOUh3CKOI//Nk6mqZADDfX2/z5X1LZa1lcWi6ha+Ln1VEMdK2YYmOvT++QW9vhOPHDNdFuSwxRF6ZytLoOr5+vnkocexyaKp/4d3ocMimNTt8ln9bJrVRYnslTKZpHEksUWeLcQpG1nR6SxEvrqnhQ54RcOVM+9b7+uGttgpMxvi8ALNfn43sNNup9HDckiiMURSaKRDbd2fkinhfy1uUpOn2XX9ypU2/bFLIGtzc6lPMmv/yVRQBqpTT/5a+cxwsiekMvIVGCSN5TZIk4FqT4JxI0tS2iOEaSJHpDD8vxjzRmB7afEDZAXBeH64vTYnt/QN8Srlyn+f2B5fHujT38IOa1c5Wnes7j0DUlaTBLEmJtm+Bzx7NycnxR0OqJmnGmnGanaWF7AZ4fCme6gUcQRuQy+pH7SpIgimOiKCRGuMxHUYyhySzOZhjaIe2+I4jWocK9nS5nFgojBxOx527vD1BkkUp5d6ubPHYcx5/rYM3UVczyF0O8MYYkSZxfLBKEEYosTUwPJngorq82efd6HYC7W13UkTDhSaBrsgjjig99P4IsS+QzOr2hED2szOW5slwmiqKk3za+Tm+utRPnpsM9ijCK6Q68hFjRGTj0LR/XD+nbHmu7ffTRubw7dCmMhrxBEPHezXpy1hjaPhdH5Knx452dLSDL0OqfLLg4DmHuUD7x3pqppMlndAa2j6krD/07qqqMrip4wUGPojPwcEZEg6et5zf2+txca2EaKu9cmf5cRWmnWVebXZsbq20APC/kp9f2+O3vir+Z54dcu99KxD+FrEHKVPH9iJlK+oVzWJ/gxYCpq/zXv/MN/u//7x9zf7vH3/8ff8R33pznz3/rDK88RFQ6wQRfZNSKwlihM3DJpE43J3xZ0e67h84W4vvP4vx2eL7S6jm8fr52hLy10xhwZ6MDgO2GXF9tcfVclXrbwtAUlmfy3NnonFj/IAlnzjiOkYBWz2VzJAKttyzKBZNqIcWVlRJzUznyaR1DU470SpZn8izUsoRhzL/+0V1sN0wI4rm0LpKADQ1ZFvOXZtfm7mYXELPXC0vFx5JW2z1RQ3X6Llv1ASlD4dxCkY/vNthpDqkV0/SHLtsj46lO32VpJv9UKRVfuTJDNq3jeCFL07nPpB64u9lJ+u+trsPrF2qP7GelTf1EcvMEzweSJHFxqfSpz70/eG8zEet8cKuOLEtoioymKuw0hnztlWn+7JM1dpoDpoppokiI1WVJnGUs2+e9m/Vkjgji/v2L3z2LF0RH6vKNvT57LYud5pCB5eO4oheTSakjoy2FWjGFYRxcR4fv6/GMEgQfpG95tHsOhayBH4TIoSTmELEQPUiHUpMfZUIJJByJYtagVjSZLmXYbVkoisSZ+c9/5tAf+ke4LO1nxGWZ4NG4ud5md2Q61B14fHirwTdfPyrGu77a5L2b+9huwPXVNlfPV/j6azNi/xqIHmSzaz/UWODuZodf3N4nRoiJdtsW5ZyJF4TIEqiqQrlgsjRToNP36PQcyqN5ux9GDG2fIIgo5U3eOltlupzl9XNVrq02ubXWIZ/V2W4MubneJpPS2G0MkSR4/ULtAQHHh7f32WsNMTSFlCHutfGscZL+8mJDUxWunq8emSNP8OmRNlXS5uP7S92Byx/9fD1Zp2ul1JE6stVz8YOR8LdtIUsSrhcSxTFru4OETwQQxRJT5TTNET9tYSqLqshkU+JzXd3pJQaujY7N1XPVZI8b2n4yXxtjqpR+LmeipZkcfiAE17Vi6sgaEYYR11db+CO7+q16n97wIFXutH1IYMS7ipLvO333CGevlDf5S798/oGa47T44FadettiqpTmzYtTT/z7zwPbjcHB2acthOLHjT6fFucWCqxu9wjjmOWZ3FPxPiaY4GkwtD1aHSdJ7Gt0bHw/fOmuQUNXGVohMaDKMun0y9enl2L45H6T/tBjppLmnSsvxtr3eeCZT5D+wT/4B/zDf/gPAXFg/zt/5++g60ebJK7r0mw2+c3f/M1n/fQvHCRJGkWZnf5AnTbVIwPXzDPaAAtZfeR6HTKbMXjjQu2hxLq+JRqVuqbQGTm/GJqIwywXzBPFA+PfAfHao1iQF+tti1LeYGU2nxCsGx1buFUjmispU2G6kubeZodS3uTVlRLX1zrJw7l+iHIsNktVZD68vc+dzQ7tnsPlpVKi5gZwvRA/iB7bCBnj7mY3aQAObeHgsTB19H32LY+1nR4/v75HGEUYmsp+x+bbbxw9IKefwh38tFiezT+VG+PzwtAOjiTPHrkOJjg1DsdNu36IF4SYuorjBomAQ/zco/++sizz7Tfnma1m+cWdfVZ3egRBRKVgEiOEF++8Mp38/OJ0jiiOhagrbx6JPPzhB9vsNi02dvu8d2OPajHFlTPCNa9v+Y90juxbnmiuqvLowBSSzxgoisyFxSLru32iWJCxH3Z4j+MYzw8Jxu6ZRDS6osHU6bts1PvIksSZuTxpU8PUjz7O5ZUyN1dbuEEEcUwYxciSJMghn0GTM21oOKOEIeHMMyF+fpFxmBwFfGbuXvmMzhsjIdTD4IdRQqoHGNhH15H7210+utPAC0IUSaKQNchndM7MHew1pq4ydALhgCBJBKP7etyk6Vsu9bZFb+AysHyyaUASZK0oEvGsfctjfipHGIk15+3LU0QRzNaywqXDDzkzVzhCvD5cE9luQH409PWDCNcPSX+GBylNkWl2HcIw4uxCkW9cnU3WryiKWdvtJSKYNy7UXmpXxR99uEm9JRp4+x2L3/7u2VMNPR93rU1wMsb3RbPj0OjYdPoujhNgGgpBKJFPG+Qyo+GfBG9dFofXYs6glDfYbdrsNYfomsJey+Kju40H9scgjI+cL6ZK6acWA6uqfCTG8lCZAoxqlWO14ZMKKvZaVhKjO3bXfpxj9X96b1OQRYBG1+Yvfu/cpyZMnl0osLbTww8iZqsnO3lOMMGnRcZUBYFZVzm3UGCumjniCt+3PEF+OHRfRVHE+l6fMJTIZjRcN8SJwhEdQGK6nGbo+IRRTBhHEMUMhh7FjEF34LDbtJIhztb+8Eid2rO8Jx68b+z1afcd0qbGmdn8S9fo/KwwGVpO8DiMnZPHqLesJx5oivtQ9OJ0TWa2muHGWgvfj8hndKbK6SQlq5AZx4QfXJvj67TRsdlpDomBaiGV9CgUWSRsJDVfDIuj3pkfRHQHbtJXiA6RevwgpNGx+OReE1WRefVsJRFxRHFMHB+coaJHJDufhJPurUohxVeuTNPuOWRSGsszJ/fRZFnmu2/P897NOhISc1MZ3r9Rp2d5lLIGT8M96w5cfvD+5kHSmh/xK+8sPvkDfYY4nqZ9+HvLCRIBB4AXhFw9d7q0lAm+3CjmDP67v/Nt/j//8mP+w0/X+eEHW/zwgy1mKxl+5SsL/OpXl46cKyaY4IsMSRKmH18GHCeWnYZo9ixweL7i+RGeHx4xaYuOlRdxFLM4nTvSGzk82zo8o3llpcr97R7tnks2pbE4fVCfVQomfhgxsH0qxRTlvEEpZ56YTNG3fK6vNlnb7VPKGWiqgqJI/PlvnTkyL1Fk6cj7Gb+/x4k4/CDkx7/YptVzmK5mmKkKQ7g7G0IMUm/ZR2obWZbwjhHrjr5eLzHuW57NJ2JcgJShfubEssN/Ez+IcL3gmRHIJnh2+LTn3kZXnIlaXQfXD/CDmJSpMlNO0+45/MHP1/HckK39Ias7PUpZA1mSsL0QZ5Ssc1LCqCzLD8wQx/e84wbEccy5hTyb9QHTlQqKLAsS+sXaQ93OP7rb4O5mh7Sp8ktX5zgzV6CYNSjlTboDl72Wha6r7DSHlLIGiiJmL5VC6pGpuUEYHUlX9IOY6WqGuadMN3keSB3jskzuxc8GUXS0ER+ecHYek6kzpkbG1Jgup1meyfPezTpRCNm8zif3mkeStPNpnVopzfxUlqHjJy3IIIhpdmxyaQ3HDViZK/DNq7PJfnBxxM3xgwhVFkZUA9en03NZmc0zXcpSzBqYhsrKbIEgEI/cHbhYjk+1kOLMXIF8Vn/gXHBztc1HdxqA4ATM1tIsTolz/dj4aYIXH5Ne6OeDVs85IrTz/ZAwiqm3hag3baqJoCGO4YPbdbpDjxgwNJl81qDVc5ElYTy1MptPDA29IOI/vbdBu+8yU8mQMg7mCmEYY7tBws9LGSqyLCU9pYypPbczkamrD03/dP0web8AhqEyVUrRHXqYmsKZudPvr+ax95Q64axzUs1xGlxfbfLx3SYg6vaUrnFppfTEj/OscbgGj2Px/bPa9wtZ47E8lwleTNRbFnstC02TOTNXeOnm567nE49mEiC4PtHxpsFLgNlKBtsRIrx8Rk9Ery8TPrrXwPVEGmmr53Jns8tbl76cQo5n3j2rVCpcuHABgK2tLRYXF8nnjw7KdF3n4sWL/PW//tef9dO/FGh0bFZ3egm56ngMbialcWGhSLPrYBoKc9WnP5QHYUQcx2iqwmsXauy2bSzbp5DVubzycGfkfMagO/CI4hhdk8mldfIZnfMLRWarGfwgPJKEcWO1Rb1tE0WxGNZKI4fUlEatlKLetvjwtiCUnZ0vUMzqXLvXxA9iijkdTVUoZAzeuiTI5a2+RyalMbT95G8ShFES11jOmxi6wkd3GoRhhCzBZmPI/FQ22RxShoqmigOjH0boqowkSfz02i6319ukTI3vvjlHtSgOhaoqupdRHNPuuXx8r8HQ9jm/WBo5FcfcWm/jemFS+M5UFMJQHEBW5vL0Bh7ZtPalcpvIpbUjheokaeDpkM/oiYjI0BVUWcb1QwxdoTd02WvZKLJIoTkNbM9nv22xtT8gl9E5O18gnzF4+/LRzU6WpQecJYMw4vZ6h2v3mwRBxNDxkCXRGG92bc4vFMlndKIo5u6WcD8yDZWzc3l0TUWSxPvpDTwWpnK0+w4LU9nEHSZtapxfLI5IARKf3G3QtTxyKY0zc3myadF4eeviFD94fxNNlcimdDKmTq2YIggj7mx2kmvu9kaHNy48WNwbmsKr56rsdyzaXUdEFusK6ihS7N/8+D7X7jZIpTR++ztnWZx+tuKoM3N5NE2IWKbL6VMLyiZ4OfH25WnWdvrsd2zyGZ3vvDX/mTzvxl6fn3y8QxhGvH6+ljQoxs0IZbQ+HyZaZVMarh/S7NhsN4b84s4+cRxjaCo+UC2mjqRLjJHP6DRHQipNlUkdInw6bsjdzY5w1JBAUSUypo6hyYKMJYkGShzHyZqzvT9guzEkDCOKI4LUWGyqKDLKyMlqXBMFYR55tB83ujYf3YnJpnUuLhUTkeij4AchkiSdumkYhhFhFCf37nZjIAhmQKNtjRKOxJ5Xb1sJ6c5xhRtJpZDi1rpIHitkDc4vFF8aYUd/eDC0DsOY3tA/lYhDU2RMQ0kEbLlJTXAqKKO9uDfwqBVT/Pz6HvtdB9cLyGUMLMdDG8q8ca6Kaajc3mgzW8kwP51jaTrPJ3dbgNi/G12bRnvIT6/v0R14nJkt8F/92nkK2VRyL6VMldlTiCqO19BjvH1pih99uEUYxmIYc6zuzaV1JOkgpW4cs/wkGMezj2E5AZXH6C/79kEjMQjEsPPTijgMTUkIphNM8LxwbqHIZn1AEEbMVjLIssRmfUAci/2l3XfJZ5wkonyvZdHpOdhOwFwtTRRH1FsWsRsSxjHr9T6qLInGXRSTSmkYmprstSlDDGnCMEZVJGSZI4P3Jz3PtXoOOyMnV8cN0VT5oWTpCSaY4NGYqWRY3+2LbySRJvE0qJVSCXHpxlqLds8hioQoGmCnOSSX0jBnc7x/s04YxczVMkf6j52Bm5wf9jsWdzc7WE5ANqVzfrHI3sj9c3Emy8auEJ6pinSkx7k0m6OQNbDsAE2V+em1XbwgQgLubHb43tsLgBjYZdMa67t9NFXmjYunFwjEcYwfRMn54TDma9lEBLO60+WnH+8RxhFvXqxxZeVgsDtTyfDrX1sG4P2beyKxZNSX2G4MjphdPKw+Ooz+ITc/IHH0Ps17ubfVpdVzSBkq05UMG3v9URph9pmkjD0M1WKalbk8q9s9FEXizYs1IQQMI9KmiqJICQFg0veb4EmQNjX+3l95iz//rTP82x+v8oP3N9lpDvnH/9tNfv8PbvHnvnWGv/afXyH1HA2RJphggs8WU6W0IHFaPvmM/khDhjiOWd3p0ejYmIbKhcXikXO8H0Tc3mgztB/fWzs+X9luDGl2bQxd4eJiiZlKhplKhp3GAE1TePPSFGu7wjlY1xQuLIqZR3eU5mEaSpIuljZVfu2dJfqWj6ErXL/f5MZai1xKp1I0UWQ52afThhCP+mGELB3UC0EY8cn9Juu7Yq8fWD5n5wvUiinSpnZkXusH0QPil8ftv42Oxb/7ySp77SGqIpMyNYIgFIS8OCaMQJahVjQJQ/F6SnmTSv5kYch4Hjre/2+tt3n70tTnmqSUz+hJkqWhKRifY9LZlwWdvsu9rS5RHLM0k0vE4M8TU6UU2/tDhq6P54UiitQJiCJIGQp+EBPFMZbjI43mBxIxrq/h+RF+GFEdrTthGHF7oyOMlzI6FxaKKIqM4wbc3uhwd6sjUj+CGEmGxeksX3t1lkJG493r+3QHLr2Bz2z1wdnCZr3P+zdEUkh/6PEnH27za19fppQ3E77ATDVDb+CJdMBRrTNTyRw5X5wEVZFJm2rSo8+PEpVfJGQfwmUJwog7h//mI47FBM8Gl5ZKrO70aHZdsmktEdeP54Gdvku75yXCIdNUmalkWNvtce1+U+wvhsLa7gDH8+kNfWw3YGkmh+UG+GHEXDWDIks0uw79oYcXBLR6DvkRj+ewoC+f0fn2G3Ns7w/Ya1tEYUy1lKaQ0Wn2HDRFZn4kPsqkDvgkKUNNDCzjOKbTd/jZtV3SpsaFxSK6ptC1DpzxDV1haI/mBRLJa3jSmd8EE3xZUCmmUBQJ14uQZdB1FVmCaiGNIksEYUQYx0Sh4A+0+64QUcaQSWssz+ZRlAGKJPHKmaPCiF/cricGVHesDlOlNO2+QzDafx0v4M6NDgArs3kuLZfYrA8wdJnlE7g4QRBheQFZU0WWj97L11ebfHBrH0WS+fprM09tdGxoCromJwkaS9M5TF2lN3QxNIXLyyeLPx72WBeXStTbFpoqs/CE5jv1tsX6bv+AN3lI1Nnpic/B88dkZhs4mE9+HnUZHD1nSRJkX0Kn/wmeLSzHZ3Uk9rddWN3ucmn54fzjFxH5TApFlQh9cd5VVQnzJRQly5KE4wnjdUcNmCo/+pzxIiI8JFKWgCB4uNHEi4rD3Nm0qZ2av3Ycz7zD8Vu/9Vv81m/9FgB/7a/9Nf6b/+a/4dy5c8/6aV5ahFHM/e0ucQwRMXe3urxzQpOslDcfEHc8KfbbNvd3uhDDbDXD4nSOv/jdszieIDQdL4LGsByfbFqQqdkBRZLww4i0oeEHIXc323x0t4mhKXzt1RnubXW5td4hjoXT9rmFAnO1LNlRhKgfRGIBH73ne9tdUqaGpilEcUA2peF7R29CLwi5tFxK3AKmymlxKO042K6P70doukSja+N6IbIkUS6k+O6b8+y1LeJYNItdL+Sju41DKQMmt9ba4n3aPj+7Vuc//6UVAC4vl3G9kL22RTlvkE8LIUu9ZTFbzRDFQoCz37ZFJKsTECNEDJViGl2VP7NC6WkRxzED20eRpWemjjUNlSsrZVo9B1NXT3Q4meDxOLdQpN6yCKOIYs7gk3tNXD9M0ixKOeHSctxVw/ECml2HQkY/Eku+0xhiGippUyMMYzoDUVjbbkDKUBnaQll6+HcaHQs/iPCDkL7lUSuJdJwgjMnnDBZreQxDTqK76y2Lds/Fcn1ub3T48NY+mZTGXC3DymyBheksvYHH1fPVQ6KsgN7QS9YELwjZHEUW77UtFms5Xr9Y5eq5GjPVDH/lNy7T6Tus7/YwNIUrKxXCYyrYw8r541BkiW+8NovtivdUzptcXqlwd7PDxyMHj6Hl8x9+usHv/IVXn8VHefDcyoTA9mWCqav8lV+/+Ng99lnjTz/eEcMM4P1bdc7M5egNfdZ3+6O0CkG00kbO+VEc0+o6/OyTXXaawyT2dL9tMV0W5BzjmDvEODljtpohk9Lwg4ipcvqIy/bA9kgZQqRxfrFIOWdyeaVMtWgwsEPCMOSTew1kWWJpOkcQxew2hmiqGKoGQcTSTI4PbtW5v2WQy+iiiWKIFLBS3uTsvHAUrrctiqGJJEkMbZ+P7zaYrT6a1LS+22O3aSFJIiXscYOSTt9NxGLlgsn5hSK+H1M85O7jehHpUal2fB3y/JDtxiARo3b6Lo2O/UQiT3uUxJQxtc9c/LE0k+fmqF7KpXXKj0lAGEOWJa6slKm3hbPfdPn5Ec2+iPCCENsNSRsa5ZFj28DyKGYNUrrCJ/cboskoScxPZViezVEppjkzV6DVtTFSCs2uw7/5k1WaPYdsSqPVc/jjd7f4i987Tz6joygyhq489ppy/ZAb91u4fkjKULm8UkYbuc4tTuf43/3qRYITSAUgBjJXVsq0+y5pU31sgsZJKOVN6qOaXpKgfIpz0dJ0jntbwl2ymDOODJQmmOBFhqrID4gnr5ypsL7bozdUMDSFj+82kWSYKqbZbgzZqg8ECTutkUlrSLKMogjHWdt1MHSFWiFFjMQb5ytcWCoxU81SyZtEUczm3gDHC9A0mbcvTTFTydDpixjz09xvh3HcufVRtfkEE0zwaFxcKqEqMo2uzXwty+ynMHUZQwz4esRxjCJLTFXSSQLHz2/UE4LT5t6Acs5MyEVTpTSqIo9SMmLqbRvHDXBc0TM8nG6pyjKNrkOtmKKQNfjkXgNVkbm4VE4IO82ujaoq9IY+sgyHORZ+EFLJm6iKjKpISDy6ThnXySldTUhZqiJzablEJnVyr+tPP94lGK1P796oszCVI44FEWy/Y7M5GkD3bJ/9lk0QRejqAXlz/Lzv36jTHbrMlNO8fqF2YvLQVClFOqVhjc4CSzOnSz9r9ZxENG85AT+/tpvUUet7fcp587maQ3z7jXnevjSNqsp4XsAHt+qEYUw+q3N5WfT9DE2Z9P0meCqcWyjyf/mv3uT3fvs1fvLxDn/w03V+cafBv/7hPT64tc9//TtfZ7Y6OT9OMMEXBTOVDJyCC9Xpu4kpiu0EbNYHnD/kzrvTGCTOr52+SAF+WP/v8HzF0BTubwtSieOG/PSTHfxAOFNWi1VeWanQ7Nms7/QwdBXL8bm+2uLVsxVaPYcoipkup5EkuLPRodVzkGWJldk8dzY77LYsLMenM3AJogjPF+md2ZTGwPL4s4936AxcpkspXr84harIwv24ZRGGcHa+QLPrcHa+wDuvzBx5H1v7A7bqg5FRnoYkSUyNaqxH4afX9kY9HB3b8fGDCC+IubBY5n/98X1cP0RVRIp7JW/SGwpDuuPpHp4f4nghpq4ccXAOw5goBkU6+Jm0qX6mxNmz8wWyaWH4N1VKT4jhnwHubXUTovXqTo/yqGZ/HMIwYugEmLryyPrV8QI8PyKT0pLP87tvLnB9tUnPcjE14Xbd6jmcXSzw1oUa/+KP7lBv2QRRzHQpxeJ0jpSu0Og6dAYuhiojj4zcdltWIqjuDTz2WhZztSzre31sNyAMIyQkclmVoRXQ6jpMlzP87Ho9OTv8yUdbBGHI0AlAEoTU/tDj2mqT3daQYs7AcgJ6Q59aaZ9LyyWmSiL9sDuwea9jYxxKcfdOICW1ew6OFzBdTidzpULWYGOvjyRJLJ7yPHEY/qjPPDa8fB44icuy2xwe+5sPP5VZ6QRHISsyyzPCLCGbUjE0hZ3GkI29PmEU0R16zNUyyLJIy37lTIX2wOXd63sjY9aAWxsdXC9ks97HdoUp23Q5hRdEWLaP7YZcPV/l59f36AwcPD9CkQOKWYPtxgAQhqzja0ySoN62CYKYtKlSzOoMbJ9SVied0pM1w9AUXjlTptkVfcu0qdHuOdhuQKfvEscwtH229gecmSuwNJ3j9nqbOBZiyq9cniKTEqazhazB2k6PvZaY+Z2dLzzVDGKCCb6oyKU0zi8UubXeJp3SmKtm+OhOA8vxSZkar52tYDs+jhsyV8uQNlSIBZHWUBWqeRMFCVWRSKeOzgAdLySMIoIgRlOF4XMxZ4o+nalya72TmC7f2+pSyBn0hx5DW6Kc84+IFppdmz/8+QaeF1IumPza15aT9CvHC3j3Rl28LkL+7ONdFqZzDG0fXZOfyMBNUWSunKmw37ZQFcHpW5xy2Wla5LP6E/df8xn9qQxOxrzJds8RdY8kTPPGSBkqnh8Sx6LeTh/rcT5tXfZpMVPJoCoythtQypuT9K0JHuTFvIQzwTiKMDUVzxf9hpSh4vshxktmMrO222esgRi6ATfut/j2my82b/k4Xj9fo96yEzOLCy+huWaja9PuCU6uqGeHJ5omPw7P9er7R//oHz3Ph38pcTiO5+D7+Lm4l6zv9RI3zZ3GMHGCf5ST8m5zmLj+5bM6i1MZfv+DbdwgRFcVZism/+I/3kuGivW2RTlvYrs+YRRj6ir5jH6MNBUnrwOEAqnRscmaKqauiBhjicQlXJalZFh8OHJ4tzHgZ9d2iGIwdYVfeXseefR3i4kTYtrhZsCttVYiMNltDjm/UMAPInpDF1URxPgxpspplmbz2F5A5lDzMRp9YBIHm9FcNUsYx7zzyoxIH3hODZBnjTubnWThWJjKnhjp/DTIpLSHDspfRkRRnDTmSznjM3EXUmQpGVau7faEmz1CVGU5QUI4PvxKepbHv//JKq4XoigSv/bVJWojIVEpZ7DXssiYGo4XsN8RhIufXdulnDfZa1kEQUS5YHJxqcS9rS6f3BPxfIYuszxT4OJiiVxKHZHGZPq2x6vnZ5PG/vjeaHaEun7sUmXZAdfvN5MC3vY6SAhSmSTB0PFJj2K87m52GTo+97e7wj1TkhjYPq4bksvoXFw6aHiOoSLInGPXpccNeTMpnd/4+jKdgZusUWNRyxhh+PIVlhO8eJBl+VRpBY+C4wWsbfdJp1QWpx/fnA8Px/rF4AUx63tiH+/0Hdp9l/MLQnihqjKuJyJTY8D1QnpDn4WpHFIM0+U0lUKKWvHgfgvDiGv3W9hugCTB+cXiicPStKnRt32CICKIYl55vcyFpRLXV1u4bsh7t+pkUxq2E/DH722yWMvS6btcWCozdHyiUOzT3b7H/5+9/wzSLEvvO7Hf9a/36V1l+e5qN9PT44ABBsAsQC0pLQgtucsNBcgNUtJSS1FUcL8oYiM2giEpqFiRFLkhhkKfqFhgSUKrXQZj6QbAwA/GtTflq9Kb15vrrT6cm7cys7K6qrqruqum849A9KSpfN295zznef6mUtAZTlzWdscsz5QpFTQurzSQZSl7bNcTr/HG5oDB2KVezrE0U+Lnv7x033Pzgoi91Ck4SWBjb/JQEcdme5KJxfojF7Phc3GllsWYVooau13hmj5VL9Cq5TORp6rITNUL7PWsI38zPibC+zi0BzZr6bC5kq6FDyPd226A6QSU8tqnbqC88eIsU/U8nhezMl9+rDpHU5XM8fgUj4fZZpF238bQFTRXxtAUbDdkYHpMLJ8wjgmCCF3XMB2ft661uXSmwXbXwvMj/KFwmPQ84b7v+WJvC8JYOD7e6eH5YrByfrFKb+xCAmfmqiIx5xD2elZWizheSGdgH6kbdVX+2OuiVDgqLn1cVIo6V842MZ2AckF/JGfeb74ynyYGxpyZv/81PQoGY5coTqhXcqdkgFN8rijlNeaaRUw74I/f2WavL5ydLCdgMPbww5h62SABmuUcd7dHON69elaLEhwvolnLUy3n0FSFWxsDfr9rUsprxDEUcyr1co68oVIuHD/DPzqa1Rz7PTsToB9P5znFKU7xeDi7UD0ikPi0CMM4TcEEL4zYbk+QJZGUZ6hKJuKAo/Xq/NS9mn9se7x1XRCZFEWiUjSys4rtBmzsT4iiBMcL6d9oZ7W344W8kRIT87pCXlcyAWi5YDCxfRwvRJElFEVCV2UURSYBRqaHH8RZeu8B2gP7nlFMnIAkHKfCKGa7Y6KpIg3zzGwZ/dBANzn02sIw5oPbPRRZEj0KJ8h6BFEU06wZeEFM3hB9ywO8e7PNn7y3Q5wkXNcV6pU8Z+bvb8brusqf+foZNvce/VwHEB9rSxwmTpI83nnik+Lg87mzbWaPPzZ9/Hr0yK/jFKf4OOQMlV94fYlfeH2Jt6+3+X/8s7fY3J/wf/rHf8z/9X/3M6ckv1Oc4guG43vbYeMm8fOjv/9xW+Hh+cognRuA6B3e2Rph6AqtWp6Xz7V4/06XsemLFPOChu2FmXDzhTONrK/WHTrc3Rmha8IM4w/f3mZ/YGFaAbWSjuOG6KqMLEl0hzalQpWR5fH29Y5I91UVahWDswt1DE2hXBBGV7qqcOVskxdWGzhuwCiteSRJEgIOwPNCbm8NObdQw3FDinlNkM4f0LOIoliczfoOhZzGymyJr744w8QOeOV8i+HEEzNUWaJaMk4UhUxsn+vrA+JYuKJLskTeUNBVlZmGEE2YTsC1tT7doTgDfuvVhUc2f/m0ONwbPsVngyiOmdh+Zgj3KOVoEEZ8dKef9QgurdRP7DcMJi63NoepsFrlxdUGiiJSvV8+P4XrR4wtn/bQYaqWR5UkdjoWF5ZqlAoqvZFHuSiESOWCyl7fFvexdG8tOb6mHMxSDs4GcQKKImHZAaW8Tj0VOHl+iCLLDMYuez2L4cQVc5FGiRvrA3RNoVHJUzBUukMHVZZZPVPNziQXl+vsdk3+6Xev43ghjhvyrS/NM10vHjl/AXx0t8db19qASEj/5a8tkyCx27UyUvpOVwghZFnK5kc5Q2FlroIfRAxNL+vtAJkwTSSwyry42sjE+k8b963jxxfyU3wqdIcOrh+T01XCCLa7ZsbZSRLoDhzqJYPZZpF3+zZvXttnu2thuwFTtXzaB1QYW56YxfsRqiqTJMIwrSdJBGGEpioZfymKE/wwFnt2IkwWXT/MrrHuyKFSFHvYjz/a499830HTFCTg9UvTXFhpZL3CQu7o7KqU12j37czhHcQ1kySCHP7qhRYjy2d5pszSIQd/1wvZ7x+d+Z2KOE5xinsYmSIh9sKSIMJu7k+EoWIUo5ge1ZLOVK1AKS/4OyPLoz92SQBNkemO9EyQVy27R/720nSJ3/3JBpYV0KjkOL+0yGAi0nzLee2IIa3tBkRRkqXwbLYnR0Qc793qZkaV/ZHL7a1Blpwbx/ERjmEQRXx0t4fjCr7CucXaY5lRGZrC4rToawVhzM2UN2cMFIo57aGC6SeDhPdudrJ1e3m2fETE0azl+fKlaUaWR7Vo3Pf6jpydkqO9zqeNh/Eqvuh4UB/7pxXlgn7PxFmCuefwjBZLMuPUMAJgZAbI8vNXtx4kryeIWcJud/L5PqFPgNX5Kv+LnztHf+ww3yp9Ruvxk8WTOgM99RPbcDjkn/yTf8IPfvADBoMB9Xqdb37zm/zlv/yXqVaf3FDyeYGqyCxOl9hKnVSWZyufmiA+tnxGpkcprx1xPJAlieigspGEi+3DcJhwuLU/4ZodkJAIxwkJ/u0PNtjcn2QHrNvbI2YaBVHUJVAuJPcRBzVVYa5VZLdrpa+5zMT26Y894iShmIuplQxW56tYboihK5k698jrtH3xQhBRqa4f8/oLM4xNj5yhnkgYHJheVryEUYIkS3QGNt2RiyzD5ZV7Cq6DRkkUxazt+HzpYotaOZ+Rx4WjdIFK2gTJ51QuL9cZTFw6AwdFFgfZk9xrngW4fpgJOCBt+pySLO9DkiRcXx8wscXBpFXLP1ECxaNAPnSz5nRVNNdSJ+ql6XtD8ztbwi0DxIb80Z0e55eFUOLCckO48E9FBGHE3Z0R/bHHyPSwXOFaOZx4NCo5gjDmo7u9TLFuOyHDiUsQJVRKBt9+fZGJHaAqMtVDqvJWLU93KNzWVUWiXBT3vheI5snCVFlEXI9ckiShUjRIEnFwLBgaXhAxtjzu7ozoDG3CSAwbxrbPV16YJklgv2+fuEmfX6oxsf1HTpXRNeWIEOT8QoWlmTKb+xNUReJbr84/8N/6QUT7kDL/s3bEP8UXB74f8q+/v5Y5tl452+RLhw7vJ+FLF6b58bU9SODiSp1qUUeWJHGQlwQp6WBJkdOvQTQrqiUDWRKJUt/5+grFnHbE9QpgaHpZ8R9FMd9/b4eZRoGLK41sPwQhxFxoFbEc4eJRyGm0Bw5RlIj0KidAkSR6Y5f9rhCRuenf1TQF0/bpT1RIEs4vVdnuWqjp8+gOHa7Tz8QSU7U8m/sT2gOHjb1JdjDc3DexXf8+IY0scVA+AI9WD8nHfkmWJV67OM3idInu0OGt623eut4BCb716gIrcxVePt/CdgMKOQ1NlZlrFrNDez6nPlaDY7d7rx4bW36akvZgcu3E9rm21s9SC15YbWaJaJ8UZ+a+eHX65wHbDUTsvK4y0yxS3x9TLeqMTQ8QZEbHj5AUiSRJCKOE0A3xg5AP7/ToTzxS2TGNSg43iJhpGMgjmziRyOkKP/vqPIOxl9UMI9Pjn//ODeEurSnc3h7xK18/c+R5nXQPfNY4PtR5FKzOf/Lr9sC9C6DYt3nhTON0zz/FZ4reyMF2Q+plg1JBp1Y2MHSZgekiS4LU0B3YJIDrCWfVcknn7s5QOOcdgixBEMWoioSuSnz/vV3GtpdFqL+w0iQIBQnj+P3+uNBUhSvnmtiP4LJ5ilOc4rNHoyr6U2EU4wcRvbFLFCUoksRMUzhMJwlM1fNH9t3F6TKNSo4oTri61icIYhwvJKcpDFMDB4DO0MnI/qbtc31jmPUNbmwMMhGHoiqCQGj6qLKEritcvdsHxJrVHTmMJj6SJJIBf/ihRRAKMuLrl2cy99jdrsVg7InBswS5nJqZRHx4p5cl4V1f7/M/+8ZqJup89cIUb10XDn6zzQL9kcPQ9CgXdG5uDgjT16CrCl+9MkMQChfvw2SnzT2TkeURBBGFnMZWe3KiiAOEGOLSmcdzjWpUc3SGNqYdoKoyr15ssdcTyWQzzcJjuQx+Erh+KEhoJ7j4fRbmJqf44uFLl6b5B//Hb/Nf/r++z+b+hP/q//2n/P2/9fOniXqnOMVPCUamJ9Iejs0tD0OQrx0h7PRDahiMTC+bB8w2CwwnbtZbe9Q0qGrJoFLSGZs+e12LYl6kN3SHDmY69ynmNUp5jZ2OiaLItKp5XC+kPXA4M6fhBxE3NgZZn0BRRGJ6Oa9jOyF2Snytp0lZE9vH8yPevdFhYgcYuoIfRmzum5xdEDXB116a450bHUgSphsFXC9kM00D0zWZF840sh7mMDX06I5EUslOZ0K1ZGDoKqWB6Fkc3p9fuzidGWG0anl+9efPIcsylhseMdr4uPPfft8mjhNubg3Y2jeplgSp/Ve+diYj3LX7Nht7E25uigTf7tDlP/rOxU9l5HGKZxsHfeolVUFVHl4T9sdeZgwTxwn7PfvEvX2/b2eiEMcLGZreERL2ymyFOzsjoq5Fs5YnAa5vDFBkiYWpMovTZeIk4eXzLVwvZGQGuL5I13C8kN7IyfgLnh+RMxRmm2JGuDBdxnT6IpnACQki8Xz1NDHjlfMt3r/d4+7OGFWV2O87mHbIL3+9iKxI+EHEyPI5u1gjjmMKhnbfPfbmtbYw1lLklOQW8vIbLVRF5vragJHlUinq/OkHuzhumAnT9/o2SZzQHztUiwaKImdznePzo/2ehaopWWrI6nyVqXr+yBktjGI6Q+czE2TPNosZmTdnKKdGH08Y9/XsJSkbfamKTK1s0Bs5wvApvU7jOCGKk/TMm/Czry3wW797HUWWMXRQZYlSXiGOE2plnWJOZ69vis9QV5DQ8cOIhIQoFnyCckEnihKiKKY/chmMXfpjl7s7ozQRS6RztwcO5aL1sddBs5qjM3QY2z62E9Cs5bi+NmB/YLPVnpA3VCGKLOeytUSSP//ZxSlO8SzjeLnnBxFTtTxBGKGqCkFw1EXE9aLMxCQGwjAijGI0RSY65jhya2vExPQJo4S+6XJ7c8hu3xJCslGOX/zKIjc3hoAwqhkd6iHKkpRxG4/zEUAISA5QyOlcWqlzfX0AElxYqjEcu0zsAE2V2etZj50ofoD9vsXNjWEm7swbata/fJoQa7N4PyXIepgHOKhbKkUDQ79XtxxgebacGdvMtYoPFQv0xy6WE4iz0WMmhzyIg3qK+3HYKF3XZK6cbT21FLRnBbIs8cKZBqYToKvyZyYWfpLoDcdHvk6A0cSj1Xi+zMsNTcJLlxIpgbOLz1+KBYj173k+N0zV8vRGYs3VVPkTp00/1Ttpf3+fv/SX/hI7OzucO3eO+fl52u02//gf/2P+xb/4F/zTf/pPmZmZeZpP4ZnE/FQpbTZKn3rxntg+19b7GTHx3OK9uMCzC1Vub4+I44SlmfIjKf6SOOHaep/h2EXXFZI44ebWEENVGFoeC62iUNs7PpWiznRduHYvTZcJwohW6t7dHToMJ6L4mmsVWZopM9ssIEkSqiKzXTZZnC2l0Wh5ZEW47Z1UPIRRzHbbxLJD/DAmioQb3kyzSJwkYlPQVZZnyvhBxHbHJI4T5qdKzLdK7HVtvEA41ciSSPdo1XLIsozphtnjrO+KjVVJEzqa9TwvrDSzRqgkSZxdqIrCCBGZ2h6IhqXlBux0TJZnKxiawvmlx1P+Pm2MTI+9nkV35NAo55BlKWtGneIo/DDOBBwgyFSftYhjrlVkYvtYTkClqHN+qU4Uxak75b3PLa/fKyCSJKEzdMinpItKSeerV+YwHZ+ffLTH3V0Ru6vKEu2+RSGv43ghlhMQhuLA4HhCjGWk91RRkUkS4bDRqIh15fA6oioyV842WZopc3d3RHfgYto+O10Lxwu5uTFgdaFKTldIDmWIrMyW8YKI29tDJqnbpaYoyFIsmki+GJC8uNqkN0q4tTVktlG4bxDwaYa6iqLwn/zKZfojRziC5k/+W1GccPVuP2s6m3bA+aXaJ37cU5zi49AeOFkDHoR7zMNEHJfO1FmZL4thQSpeOLtQ5e7OiKl6nmZFrPmVos50o0AUxdhuiO0GvHCmweK0EPN9cKfLxApYXahwZq5KFCdstycMJl4mTPjwbj9zAL+7M+Y/+NbZzN22YGiszlcJowRVkbJ0prWdEUPTI4pBVWWGpovp+ERRjBdGvLBcI0LCcSXqJRE9bjo+BUOlWtTxAzHslICJHeCHEZWiQZwk1EoGuXQgqqkyiiKhqveXtpqqsDxTZqttIsvSI63pZ+Yq3Noc4ocRc60ihZxIMzGdkNs7YzxfuBGRwNruiJW5CpoqHxGd5QyVV85PEUQxuio/FvFJV5WMcI/EQ+NQD8S0IEh4g7F7RMRhOQG7PQtVkVmYKv3UNw+eJHpp/GEhrzLXLD5RApvrhXx0ty+GHWOXtZ0xiiJRKugsTBeZbub56O4AWRb31GDsghRBEhPHCGd+TaU7dvCDCN8XREdVk3njhRm+dGmaS8tNdF3J3KwGY5f9vi3uB0miXjEIQ7EuHDgvw71aZDBx2e1YmXByqv5oB+jsfcupzLWe7Pv2tHDgfgPinnH98DQW+BSfGfb7NuvpOXOvZ3HlbJNCTuOF1RbnFzt0hw6WG6IoMo1Kjk7fwQsiFEVmbAWQJNnQVkYMMw1dxg8ifnS1g+P46LqKlDrWx0mMpmpUSvoTaYypDzjLn+KnG0EoXEbDKGY+rZd+WnFQS2mKzMJ06TOJqn9SODNXIQhi/DASDsqKzHDikdMV5qdKnJmrEMfJiQKsg89UlkAiwdAVJEl89nd3RiQJyLJw0XW8EF1TjiR1HU6xMDSFM/NVttomiiyRJKLfB2A6ATlNpTmfR5Ylrq33sN2QMErY62mcma8w2xCN7/7YpTMQZEpZljhTMtjtWVSKOpZ72D3LZ2TdI4Itz5TZ61mEUUReV/n++3uAOPN7/r3eYKkhHGy9IKJS1I/UPmEszDCiJMHxoyOv70lASQdgfigG5bIsMdcqpS6kT1cgF0YxV+/2swTickEjZ4gzSauWP+KUeIpTPEk0Kjn+L3/9m/wX/+iP2OvZ/Nf/7U/4r/7X3zhNxTvFKZ5zjC2f6xuDE+eWhyHLEpfP1Gn3be7ujBlOPIYTj0srdaolg5z+yXprsixxeaWBH0Tc3R3huEKo6HghcZIgy+JvzU+VcL0QP4qxvZCN/QnLKdF5YvsZIXZjf0IYxlxcqtGq5pFlqJdyIg00FcrudExGps9e3xbJGUWNmXoxM58xnYBr633iOGF5tszqfDVLRgfhgmx7IbONIn/w1iYb+xPKBZ31nTG2F1LMq4ytgJW5MqZNSpC+18dZminzv/z2efwwPjJHmaoXMkHNwbz2+GfVHthpokhCb+RwZ2tIkkgospwKeYOsFtBUmfbgnvlMFMXsdC0uLp+eBz8OnYGTERY/KaHj80CCuH+TRJz7gzB+qHHD8b6zdmgWvdu1MjKhduxMJUkS63tjgjBmtlFgulGgXjEEETWB9b0xYZTQqBjs9S1WZiucW6yRN9SUM1Bgqz2hM/SYM1T+4K1tFBnOzFd49eJUVl8DFAyVVjXPXtfixbNNJCmhM3Dwg5iVuSoLUyXOzlfYTucJthPQHzu0BzZfuTzDB3d6DCcuiizz8nnRv+kOHXK6yuKMmLccPh97QUSQGutt7k/48E6PkelheyGOF2Kn74ntBWzuTe5xKbomZ+YqnF2oIkkSnZF7ZH50Y3PIxeV7RK3e2GGqns+ShR70mTxN6JrCy+daBFF85D0/xZNBq5ZnaArDxkJOY3G6RKWos7Y7JknEZ72xN87WZlkSc7WcrvDS2SZfeXGamUaJUk5H12TCWLjjd8eeEBBOPF4730KWZFbmymzsTZiq5fH8mDPzZWw34urdPm9cmSZJEjbboifUGzpsdy0URUKWFCwnpFkVBm5+GHFra4iuitmUcuzeV9K0mI/u9pARaSJru2NKeY0kAdsNCUIxPzngBRiawvJsOesvfBpjp+cFcZyw3RHimql6/rl0qf5phOOF7HTEXrEwVXpmzI2qJYOZRoH2wMbQFV45P8XbN9o4nkTeULlyrsnG3gTTCVidq2b7RALEUcTA9LAckXjRMI9y3jZ2x8iyjC6Lf7C2N2ZltkKSJCiKzOa+SS29PsMoQVUl3r7eoZBT+dar8/zoo10sWxg7X1qusrE3ZjDxsv3uMF4616KQU1AVhWpR53s/2crSKIqfog/teCGmE+B4IZoi3yemeFrQVZl6xaCYV5GQ7jNjfNgeOl0v0KjkHqlP2B063NkeAbDbs3jhTOORuVUfx0E9xf04PFv2gxjT9r8QwhfTCbJz5En7+7MO73ACdoqc/vydacWcSnCKEkB/BNH9KZ48DurZw3OdT4KnKuL4+3//7+O6Lr/1W7/FK6+8kn3/vffe46//9b/OP/gH/4C/+3f/7tN8Cs8sntTwbWz5R2LExpafbaDVknEkfutRsNuz6Y9ceiOHiROQMxT8QDj5K5JwvL+waNAfu5xfqvPvf/MMw4lP3lDRVBlDV0SUZyqI6I9dpNQ1dLsjyGLLs2VqJYNz8zXxoBInDj5NRzQrNvcnGIaC5fn0Rw6GoeAFaqo+LR45mH1wu4udCjPGls9L51rESYLtBux0LW5uDNjanzA/VUSWjxJNqiWdXupqI8kS07XCfU3hZjV/pEC5sSHcZmwnYGj6+FtDpmp5WvX8MyPicLyQGxsDkkQc8K5vDJiu5/nalaevJn4eoSoyqiJnZILPQzUq4m2bR76nyOIe8YOItV3RyJyu5zm/VGOvZ6UDdlHo90YONzf6/N5PNumPXAxNwXFDojhGUyQhlEgEQUDTZJJUrb3btYiimEJeR9NkFFkUWtWyAWmTdvWYy6SUrgulnI7WUnB9A9MJUGVBDOmNHH7h9SWQyJqYq/NVeiObW5tDNF3F9kLiWJDAczkVRZYZWT7v3OzwlRdm6I9chhOPVy+0njhx4SDq2/XCrAk8P1XM0nQ8P8wEHAAjyzvx75ziFE8C5aKeOeGKrx+tAXHckbVRyT1wD1JkhStnj64vP/xgl5ubQ0DELx9EGP/J+7t4fkSlqPHiahM/iLLGoOdHDEyfmYZ47Kl6HscLGVnCzXa2WeT9Wx3eu90V6RyGwpdfmGJi+0RhQhjHKIpEIksQiWauosiUizpXzraYqhdESs9ADB6M9DWOLR8p/T9NlXjpbJOdrkW5qPPlS9Poqoxp+2zsT5AQNUcxrzHbLDJ7LMrx7ett3ry6j67JvHi2Sd7QmKrlmW4UKOY1Xr04deT3b28NGVs+cZTQHbrMNAvIkvSxzVJZljBkQaDf7pgoisSZ2cpD95bVhQprO+nQqll86O/nj/388DURRjHX1vuZ+5brh1xeaXzs3zuFwMj0uL0lmlz91JBhvvXkUswsNyCOE/pjl97IZWNfND+rRZ1qOUetrDJd8/CDkEY1j67CZjsW7tkyKDK0BxZjU7hRR1HCmYUyr12Y4VtfWjhyHdTKBgvTJTpDm0pJR5bA9SPGlhBnGNrRmvegFvl3P1jD9SN2uxadocOv/vy5h7pAjy3//vftOUh/yxkKpi3qP0WRnpmG+ym+GBgfqjGTRNxHhZyGrsr84leWeet6m8HYZa5VYr9vkTNUJFkiigVhSJIhSU2xZEWIAZUD0wJHOFFqmkqjaqAqMi9fmOKl1SY5Q03F1QOCMGauVXxmzrGnePZxUBsBjE2fVy+0nrtm/aPgpFrq0nNUSxVy9+paywlY35sQxjF+KCGn5CAesuVN10V93B271EoGnh/SGYj+meUGmcunIst87coMd3cnqLLEV4652HUHDu9cb6NpMq+ca2Xf11QFWZay1IyJLUTnIN7vrfaE3lD0NvK6QiGnEkYJBUPBD+OMHBlFCcOJS5xAraRnwnKA33tzM3P/2++bmI6PaQcU8xpxFFNNewBJAq9cuHcOGJmijpdliUpeY7ZZwPMjSkUd4wmIOLwgYj3t8RyswYfTiT8rwZDrhZmA4+B5vXbx8XrKpzjFJ0W9nOO//E+/yn/xj/6It290+B9//xb/4S9e+Lyf1ilOcYpPgYn94LnlcUiShOtHR4bcY8vP+m0HvbUHIY4TNvcnTGzxbxanS9lcT9cUvv3lJX7wwS5jy6dWNojiBFmGKEmoFHSa9RxrOxNh5NIsUkkf19BVkIRLbqWgUynpBFFMI6/yzVcWWJktZ49za2vA3Z0xjidEqH4QUUZnui7SAya2z5tX99lqi9SN/tilkNPI6co90pgk5jW//9Ym3aGT9YvqZQNDUygXNOIkwU3FGyeRsnVd5TjvRJGlI7XryPT44Ye7BEHMuaUqEytInZMdxqaH7UYoioTnJ8iS6I8cJnzNT5WYaRSxHJHEWMhpp0TSh2AwEe70cG9mfrxP/awib6g46cxdVeVHqk0bFSFwGkxcCobGYtoT3OtZbO7f4w6szleI4gTXD2nV8uz2TG6sD4mimGYtz8++Op+aM1X40Ye7dIYO5xarNMp5JIn7zK9W56vkDRVDU9nrW9zcHJDTFTbbJpt7E165MMXSjLhvN9sT9vs2QRQz6FmszJY5t1jj5XMtcoaK7QZsdyzyOQXXC4mShIWpMrONIlttQU49TFDNGyqFnMbE8ri+1qdSMvjGS3MMxy53dkfUygbLM2XubI+y98ALIuI4Efd2nJDEMUGQ8PtvbiLLIr3j7EKFV85PZT3K4/Oj+jGh9cGMYKZRwPVDJrZPpWh85q62D1u3T/HJ4KRz7ChKuLhcz9beseXz7s0uQRiz3zMxdJUo3YvqFQPXj8gbCnt9i52ORbWU44XVBkEkjFP3+jaNck4YPXkBdiCE/N2hg+2FeH5MzlCQJIlROofw/Ra1ss7aXoKmyiJVcuRSzmsMTJecoTJdz7MyW8Z0AvopwTUIY84t1u57bZIkMTR99ntWttcd7D2KIiHL0n0zsJNmfj/N2Nif0E7TwQYTl5fOte57T07x2SKOE66t3TPDsN3wvvn754mVuQorc4LXE8fiXm8PLKZqhay+Kxd03CAknxOpu3GSUJ4uYugKw7GPrEr3pXqcma9wZ2dMGMdoqszCVDGt4yWS9ABw0B/uDR3B9dMUoijhD97eZmT6uH6IpoqUj4vL9+pUyw2zez+OE9661ma3d2BIl6NZyzE0PTRFpvSIHIoDDCYuOx0LVZEwNIUgjAlCwQE6PoM/zMeabRaemIBB11W++fI879zsoMoSXz2Br/ewPfRR+4QHPXsAEphY/qOLOD6Gg3qK+5E31CNnuifRL37W4aWplXGaZvOg/f1ZRusEwyL9OfzsxvY9c6oEuL054OULX7wwhWcBkiQdmet8EjzVyu6P/uiP+Ft/628dEXAAvPLKK/zNv/k3+Yf/8B8+zYf/QuC4OrP0ADf5R0V7YNMbOez3bII4QZJ0wjhhpl6gN3YYWx7VUo6XzrV46VyLctFgMPGIiAmiBEWWGJsuf/zOFu2Rg67IvHy+hSTJzDYK6JrCzc0hL51rIUsSXnoQPOxIsdu12OmYrO2Oma7n6Y9dojjCdkOmGwWmanl0TWEwcbPDWXtgs7VvcnNrwGyjSN5QCcKYJEk4v1jj5uaAG+sDPD8iimNcP+Klc3W+fFk0eeI44UuXppFlCdP2ObtQy1JFPg7lgs5w4hFEMZbtkzcEUdPzxEIZRTGSJH1ilZUXRNzaHGZNrJXZysP/0TE4XkiSQBTHjEyfYk6jWc2z3bEyAvsp7kFJ3Z8OHNufZMSsHwi3CccLaVbznJm7//Pc6Zjs9ix0TWGuWWS7YxJFCQvTJWYaBe7sjBinxIO7bsBrF6bIvTRHHCf8yXvbfLDeZzBy6U9cgjAWAoREImcoRJFEIadiGCqqLFNIFFRVxvNDGhWDhbSZ2h87vH2jg2n51Ks5/vy3z1MvGdm1HMcJSZIgyxJ3tkd8tNYnCIRbfXfoEoTCob5RzbE6X2UmvU/r5Rx3t0e8d6tDknYZkyRBkSRKRQ1NkchpKqsLFUp5naHpZUKSOE7uOd8/BVy92yNISTm3Noe8dnEKTVUwdDEQuedGeW+NTZKEtd0x+30hfmvWcsw1iyw/5n36JO7zU3z+iOOEOzujzFHr/GLtxIN0GMXc2hxiuQG1kpG5KIEQX/7clxa5vt4nZ6h85YWTC+yDa68/FoOQ80vV7N4Io/ixiT6DySFxUiIiz3/00X7WWLXcgG+9tsjllQbbHZMkSbC8kDvbQ/ojl/NLNRRZShsegkyaJAnv3+7iBzGaqhBG98h9B/dTGMWcna+hqzKdoUucJMSJGLzu9W2kVGyWxCKmWZZEU6lU0DiwG6+Vc7x8YYrpeiF19E34w7e3hUME8OJqkz/zjTP3vX/7A5vf+dE6cQKm7bPVMfnOGytYTkAhrx2pr9Z3x3RHDht7E6brIsrP80Nyhspss8CLqVuu/gBHqyCMefPaPu2+jSxLTEyfNx4ipMzpKpfPPDo5cLpeIIxiJpYYzIjENwE/iDLSIYDtiBplp2uy17XRVJlzi9WfavfsTwr7UGLbSV9/WhRyGp2hzZ3tEb4fptHmMf2Jy2Z7jB9EhBFoKpybr+L6ebSeSxyHgITjhniBj+eLAXuSwNgM6I4c3rra5qXzrSOC5YWpEpIkUn6WZiq0+zb1ao6Ly3XiRMr4m4drke4hB5EwFA4iDxNx2G5w7Osn+749LZxfrLG5PyGKE+ZbxefKZf0Uzz/KBZ3B2COKY3Z7Fn4YYzoBZ+erLM2UaVZz/PjqHjttcVY23QDHDYnjiCROCA/dZnEMXhATxT6Nah7PjzAMhYWpYrbeSwiSzuJ0mbvbo6ypf3trSOF866H3+aPik9Qlp3h6cP1QOOzKn/4zaQ9s3r3VgQRmmwXyhoYXRBR+Cj9vzz9WSz2D+5rrh9zeGuH6IdP1wgP7GIJYGON5ESTJkeSK+88YtYwcGIQJtXKOWjknjFK8e++B5QRM1wtZ36teyXN5tYUMmSgDYGQ6/I9/cAvTCZAkQSB8+fwUY8tjZbbK6nyF/b6oTS+t1LixPiCMYgxd5cb6EBCuovVyjsXp1CHb8RlNXLb2hbNoKa8SxTphmLAwXUaRhUGHIkuMDg0vLTtgMBJijzCKWZ2vUC4ayEgZmUyRJaIo5ubmkDCMkSSw/ZAwTAiimDhKaFUfLHo7XE+dTx2CT8KdrVGWBnt7a0jxwtQjNftHppeloazMVT61AC9nqEcMTY4noZ7iFE8bq/NV/rM//zL/6Lfe4Tf/7TXeeGEmI5yc4hSneP5wfG75MMJQqaCx3z/69aNiv2+zn5IabVckj9teiCJJnF2sMtMo8Mr5liAv2T6b+xM0VWZxuszqXIXbW0PyhoquyXQGDtfWhQna6nyVcwtV2gOHWtmgWcvjuiGOGzEYu1QKGiPLpz92ubU54MO7PXoDBySJalmkCFeKGjc2hvxPf3wHyw6olXNIMuz1LUoFjW+9Oo+iyOz3LFwv4o/e2WanYwEJXhBSMIRRTpKIns5g4tCs5Tm/WPvE4uk/eW8n6/l+/71dzi/U8MOI/shlYgty15WzTfojj0pR52tX5o7UBYos8Wd/9iw/eH+HO9sjqiWdKIof9HCngEwEkX3tPXvniQfhwlKNrbZJHCcsTpeQZQk/jO+r9Y9jaaZ835nk+OsOwvhIisSbH7WxnAA/CFnfm0CS8OLZJrtdi6l6AdsLGYw9ZGRhJKe2ubBYy67P9b2xmCv0bNz0nHPAB+gMHfZ6NoauprwDh429Ma4fZY7eQRjx0d0+81NF9ns2XhDxyrkp0SfJRZQLGu/f6mbiLiV9L0oFjRsbA8oFje7QFe7ngeiF/NovXuDm5oDeyCFMTXmKeS1LMQyjmFY6p+8PXVRNoTeyxEx4qsy19QG/9JXl7D2qFHQun6nz9vUOeUPjG6/MkSTCATqnK9k5SX7EZALbDbi1NSQMhbndF4kQ/zzi1tYwW0/eudGhVNBIkoTf/eEmyBCGERv7Jufmy8iyTN5QubhcZ313zND0mNgB79zosLY74YWzDXRVGLPO9222uiamHaCpCrWSThzH2eMZukrgRARBTBQnNGt5eiOXKEmQJQnHD9FVhcsrdbpDh+WZMiuzFWw3pD200VUFVZFJkiQ7+56E4djL+i2aKrO6UKFeMYjjBNP22W6b6KpyYkrkXs9iPZ3Xt2p5FqdLjz2rfxr4NH24/b7NdlsYw51brB2ZuSSJWFNPRRyfL4IoPmKGcXwu9ixhr2/zwZ0u3ZFNs2zj+w0K+fT6SeDG5gjfj4hJ2O5aBHGCLCcQJwzNowanP/elBYIoYa9nsjJX5ZXzLf71n9zFdANevzidiiHFvRzG8WEtAL2Rm9UDQRjT7ts4XogfiP10ebacnRvcVEhxwClyPJNLK43MiPXgvw+CMJsbEsUJC1MlttqTTATpBxEXl2uMLR9DVykaKv/uB2sMJh4zaRqYZYvP8/b2CD+I2euJJLozc5VPlbJQKmgszZRRJCkzsHwaKBVESti9rx+9z1d8whzUn3aszJZRZMF9nTrGff1phesJg6fBxBWpA89h+sNJM9CPO988q4iOJYpMnAfXWs8qxqbPf/97NxlOXJZmyvzat8+hKM+foOZJ4KlWdpPJhIWFhRN/tri4yGQyeZoP/5nBdgNkSfpcHPurJYMLyzXGpk+poN2ngHTTeODjG0UUJ6JJkJKT1dS5er9v4fghMaIoqxV1cppCrWRQLxvkDJUkSSgYKp4fcWd7yJ3tId/70QZBKJo4r12a4u7uGD+I8cOYYk5jYbpMe2CzOF1mMHYZjB0RNRzGRw4YjheyuT8hTp/fXt/OGieyBHGaGKAoUuaEfKCEJRHxiVv7E5bnKlSKOn4QoakyOx0zKwhVVaFZzfPNV+YBGIxdrq71iaKYMylJ5gAHz0PX5BPJ43OtoiCNkqApMgkiVSSf09hqT9jpWEgSLE6VqJaNx96wN/cmmWpzv2dTLRonHk4/DuWChqrK+I4g1R40wA+nC5ziKAo57Ujz8Elhqy2aIADtvk21qB8p8k0nyNyYnCjkhx/sMlUXYqL1vTG1soF/+HNLxAExhyBcqLKMJktoqkjQkSQZRRJFU6UgnCpLBZ25VhHbDYmihPNLNbpDh3HbpFHOpcMAj43dMY4fMph4/PjDXZpVQco4iF6MogRFkYSbhx/heCG9kXCGkmVw/IiioVIv53jz6h47HQvLDUiAmXoeVZaRJUGYaNYKzDbyFAyNie2nzcuEM7NlgjAmjmPKRV047DuCnPGkyGCm7fM7P97g5uaQgqHy6sUWuipEYJqqoMgSL6w22O/bxEmMoWm4fkhOV+mPXToDh72ehWkHRHGChHDlfxz3qSdxn5/i80d36GQDsLHps9MxT2wSbnfMjCjZG7n3Ee4PDzj8IEpTLNQjYsCDaw/E8HGrbbI8I5r6VpqidXmlga6JJuzI9KmXdPQHNAOWZsrZQV5VRAoAiAFTEIaU8jqDkcPrl6eolQ06QwdVkVBkmYnts90xyekKnaGNn4o4dnsW5cI9Z6jRxONP39tmrlViYapAuWBwYbHKdLOIlqYFDSYe7b6NIsus74yRpIMBpYvpBtTLRuqoq3NhUaQQJQls7U/Y3Jsw3yqSz6l8cLubNYXev93lO28soaZ7uOOFXF/vs743Zmj5VPIacQKud29t9YMI0gbFYOxmg2BFlugObeZaJS6tNLhytsnNjSH/3+/dJAFePd/i5fNH0ztA1Im7XdHcieKEtb0xb1yZJUkSbDdEVWUkyGqiTyr8nG+VoHX/93O6iJQ/qIPqFQPbDdjaF/tNGMWs7Y7vS4A6hUhp2+5ImZPEcXezTws/iCjldcp5jfd3xmIvkBMKmorphLh+ALFo/HzvzS0KBXF96KpwvnL8SOyTgAwZIZIEJFkQAY+70s23SqiyjOdHXFiqiTStgpaRNI/XIqoi4QQRURRh6Gomrvz4981Als1771tFvG8Pq6s/b+ia8tw5hZzipwezTeFYdWdrRL2cEwLHgdgTl2dKXF3ro0gyrVqeu7sjGmWdLcvD9WOOp/6KWy8hZ6gEoTgDysBULU+laJDTVfwg4vb2iHJeO3IuTBIh2OJT9uXDKOb6CXXJKT4//MFbm2zum6iqzM9/aYG5T5EsddCDyesqY8tnr2fz4tnmExP/PGvIGSo5Q8nqxWclDj1JxL6qKDIbh86Uu12LSlE/ciY1bR/HCwmCkLeutRlOPHRNolnJ83KaiHH8jLHdMZltFIiThJyhMF0v0B05NMp58oaSkS9mmwWx7iSiFtlsT/iDt7aQJHjjxVlW56t4QURv6NEduWmvQtTfX39pnmJOw09daA/6MGEUs7YzASnC0GT8IERVFDw/IogiamUdyw1ZqZT413+yzsTx0VSZuTStN4piigWd9262Md2Qcl5nqpbPXl8hr1GPEtwgIqcpVItGVsdXSjpKWo+HcUJn4NAbOUgSmHZArWzg+AqVgngOJ8E6Vk+t7Yx5YfVkgbZ/bA0OguiRRBy3tobZkOb21pDq5ZnseX8SqIrMC6sN2gMbTZFPCVyn+Fzwna8u86cf7PLjj/b5+//0Lf7e/+HnTsWgpzjFM4gHzRwPEIQxiiIMQ0w7OHFueRwHPzftgEpRfygp6zAO76VhFHNnZ0SrmidEiCVfvTiFF0SUChpjy6M9cGhUDHRN4cbGgFY9nxleFFPBe2fgoKsKP7m2z27XIggiakWd/YHF0nSFIIx552aHYk5jr29xY31IvWRguQFBEDFTz2O7ETc3hny41icMRdKItDeiVspRKups7Qsju7MLNdoDm7yhsj+wsd0A14+QSKg0Nb7ywgyqKlLPE8QsZmR6lPIaw4krSOAnGNI9aG7tHCIYqoqM4wd4gSAgtqo5vCBGQubl81NcOds8kSCqqzJTtUJW/2+1Taol4z7C17OEg5n4k5wtPSqqJSM1RhJf156j5JKcrnL+UK/snRttPrjdQ5Lga1dmOb/06HPUWsnI6nFJ4r4ZWs5QGFmHDack7u6M6Y1cBmOXKDW/2e5OUGSZj+70sd2An3llgeHEY78nyOKtag5TV7C8UJgcEmb3yMTy2O2afHC7R2/k0qjkBPFMlrHcgMHEYzAWM45ywUBTZa6ca7LZNpmYHp2Bi67LVIoGthuiKBKuF6KpivhaljJXb8sJeP92l43dCT/8cAddU6hXcvyl71xgu+cwMT1KRZ1236FS1OmNXCaWhxtE6bWSUC8ZBFGElp4PbDcgiuCV9Oyy17N5cbVJs5rHD2M6Q4dCmtz6KNf6ne1Rds7d2JtQKxmfC9fls4AfRJ96/vJ5IooTRqaPLIm1e6djsjRTJpEk+qaYzSuKTMFQxFosyZyZr1LQVVRFoWBo7HVNoIjrRQwmLiuzZerlHLe3hux2baIoolnJcWNjiKHLjE0PWRbpwUGU0B3anF+uM9csMTA94jhhoVUiSRKiOBHE5nIOXZXYaE/I6aowhbIC6pUcOx2TatmgXBiyOFPG90VvwNAVNFVhqp5Pk4aFicTqfBVdVXjrehtNFa75t7aGvH55OjPGAzHz29ibsJvO6r0gEnPOx5zVP0mEYcz33tyg3XcwdIXvvLH8WL0kL4hY3xPcpzCCu9sjWrV8xjFRVZnyYwheT/F0oKsiNemgH/c49etnjZ9ca/OjD3ZxvBBVlYiTiJfOTmc1veX4meDC9SLCMKY7clEkicXp8n2zvV/+2kr2t9+8uk8cg6bIbHdMvv3lJcZpz7BWrvPbP9jIzGDOzFfY6Vj0xy6VYpoEku5DphUQx/dEMYokuH8T20eSxHz24nKdnY5JMa+yOH1/bzsII/xArPVvXxcpeEkCO50JU/VCNt9UVZmakaNSFGvEXt/KapTttolp+8w0RF8siRNubAyymvj29ojXy8aRdehREUYxd7aFIUvIyTPcJ4XpegFZkrCcgGrJOGL49zAc5qAW8xqt2v1nOTc1JvwiCBYeBkWRv5AmJEPTxfVDfEnGdp5dEduDcMCTOYzeYMJU8/n6LIs5BdO91xNZXXx+EuQP8L03N+gMBB/rzvaIN691Tkwq+iLgqZ7EFhcX+f3f/31+5md+5r6f/eEf/iGLi4tP8+E/E9zeGtJLSZvLs+XPZchVL+eol3OEUUxv5GBoCqWCzl7P4upanyROWJ6tcH6pBoji4KO7PRw3FUwkCd2RiypLQv3qCOV2rMVM1QqEKdG7N3IoFzX6Yw/hMyFUXd9/d4eBKSK1bm+PqJV1NEUmCmNURSKIYop5jShKWNsd0Rk43NoaIssSL51tUcxrXD7TyFzuQLhElIs6rh8ymLiUizqFnIosSZydr/DSuVZ28BIxowmmExBFCY4f0h06DMcunh9RKerMNYuZm74scaSoe/tGO3W3gd7YZaqeFwfLKObq3T6OFyLLEpdW6ic6Bk03CpSLOh/d7RFFIp2gUtS5tTkEhMPpra0h5xZqTKUOPo+KMD7qYBPFj+ZoY7sBjifi5nRNSZ1zHHKGwsGf+KzjU09B5mh47+ujjKvjjkX+IfU+ifj5dL3Axp4QwBXzGsW0MI6ThM7IIU7AD8V1bzoh9YqBror7dWi5rO1O6I88mrUcX748zcQKCMKYWsmgWtLJp83/IIwxNEH6fftGm198fQU/FG5QyzNCTXxjc0RBV6mWdJx0eFPMayIpZ+xipKTuMHUS3u/bRFHMxv6E3sAhiCIkSNMuSuRzKueXq+x2LXRN5eJKgxsbA/wgoljQ+fCuiKQ8IBc8rsOEF0SYtk/hEEnk2lpfDJNyGmPbZ6tt8er5qexvT2xfvD9Fnd/98Sa2JxxFfumrSxlh4oCkevDf45/zw3D8vn7U+/wUzxbCWDhuuH4oYkHj5MTfO66GftDnPRi7vH9bRCA3KzkWpsvkcyqldD89jNHE46Yvrm9JknA9IaKoFnW++6MNfD/C0BV+5RtnqJywj1052xSDP1MkSX1wp8du1+T2zhASkGWYbuS4vjnkZ19dYH6qxPru+N5rj2IcL2F9dywcpRSJZjXP11+epz2w6aR7crGg4wUR7YHLf/IrL/DbP9rkd9/cQlUUfvH1JeZbRRHRSXo/SeIeDKOE2WaOQk5ju2OxOq+ysT8RYtKdIfOtEoos80fvbrPQKmK5QUo2FylEBzULCBGNH8RMVfPkNQUviDE0hcVpUb/lDOVII+Pw5zjTKCBJEitzFZrVHLIs8daN/WwA9+7NLheW60cIjI4XYto+uq7g++IAVS3qJIlo+oxMH9MNSOIkSxm5vNJ4ooOEgxrm7s4YQ5dZma1gHjtMP+h6/aKjkNN4cbXB2BJ7x+M0uR4FYSQSXLojl5Hppdd7jKoqKBJEMXheSAxESYg/jpBlkGQJQ1Ey17cokpCQ0DWFajmHokhIkvTAz3W6URCR6CMHEmgeasAdr0XmGoKweX3dIqcr/Kvv3+WNy7PMTwsxdrWo3+f+mDdUrpxtMjI98oZKtWQQRTFX1/rYrqirLy7Xn/j7eYpTPO+Yrhcy4m9v5LDXt9jpWHxwu8PYCkiShGY1x+J0iXbPxAnuF3AcoGhonFtoMDYdBpMASZK4vTOiUc0hSxKb7QlRlOB6IXOtIkmSIEkSxbyGH8QMxi61TziMAJHScDDAOqhLTtPmPj9sd0zubI/EGU9XeftG51OJOOI4gUTURoWciiRJvHDmydYvzxIUWeLF1Sa9kYuqSJ868eBJIEkSbm4OGU48kMRnIh+6X+NDNcCtrQE//GCPJBGkpc7AwvNjZFnixsaA76SD1+P9ib2exYe3u8RxwsxUkavrfVwvZK9ncWm5xlbaR3vlfIsLSzW6Q5dKSed3f7SB60cgwZ++v8PE9tP1JkCVwYli4VBdPCpUOFy3RFHCVD2H5YRUSjrD8T3XP9sN+dFH+5BAHMc4fiDEZ4kQ1u+k4ulKSadeMgjTPt1LZ5ucma0SJTFB2OK3f7ROKf3ZaxenqKQ9xrOHenayBI4n+muSRJaeeYADwuNxHK/Bjvf2gjBmbHkYuspM82iP51GGn0mSHPmMk4TUmfDT3YN5Qz1dq0/xuUKSJP7GX3iNv/Fff4872yP+f793k//oO5c+76d1ilOc4hB2uxab+2LfOmnWZToB19f7RFFCnMSsztcembDerOYfKvY4jiAUfZKDZHBJIut9BmGE5Qa4XshMvcAoJaPGcYyemmAdJIZcW+vTHbmU8sIBuFTQubbeY2L5lPIajiJhegH1ci6tDUTPb6ttcndnxF7PplHJUSsadEcOfpjgBxFbY5fh2COOY1RNQVck/CCmVRHz3Lu7I87MVTlwoxHJYlrWd/zGS3OZ2URv2M56jtttk92OybX1ASAcgX/2tXuGind3RhkRbXGmlBniAZxbrPHB7R4gZkpFQyOMfCpFkfrheCGL0yXmp0r3zV/8IGJi++QN9YSZxrPbWwzCiI/u9PECkWT7wpnGZ0o4K+Y1rpxtMrYEEe5hyTRPGofnYp/Gtd12w+zaSRL48dX9xxJx1Cs5XlhtYDlCrFXIaXQGNiPLY75V5uXzLbyr+wwmbupiLJ6rmxI/R6abmqkJ4VK5oLPbOTBOunc9FnKCbJjTFdZ2xqlRpS4EF4EgdxZzGp4fUTBUZltFbmz0M4OsOE6YmyoiAWfmqsxPFTFUha4fMzQ9dE0mipLss1QUYVinpe9LrWQQRnEqskrY7ZrYbkgQJEiSx/t3+nzzlXk0VcG0/TTZvUC9bLAfxMgJmE7I/sCiUc1RyJ08q4B7sybbDfnuD9cYTnyGE4cXV5u0aoWHzlHv+3vP8H38aTAyPW5sDEgSjnBSnhcc8FXGpsdg4rE4XSRnqGiqjCRJaXK8MHH50qVpzi1UePdWH98P2bZ8VmaL/OijNmPLx/YjCrpCIa/T6VsMLY/RxGds+ciyhOWGIqFGEnvExBSzq7yhEkQxY9NneUbMAnKGguOHLEyVaNULVNP7+t/86Rr9kUveUJhpFlM+TyL4NAWduzsjkZoxsInihJXZMq9emGaudY9jVSsLE5ooio+cfeMkIUkNJA4QHZvRH/z387ye13ZHtPtiH/b8iHdudPiFryw98r+PopjD8QVhFDPXKpIzhLlFvZLD9SPGlk+tZHzidK5TfDpIksTllTq9kYskSbRqn3+/8DDCKGZkit7TjbU+vZGb3UNvXe8QRmL9ODNXoZjTCEIh4lBlYfQShDEhsL434c3r++x0LMp5jTeuzB6pZW5tDdntCbHE2PL5su2xNHOvt/RnvrnC7e0xxZxGKa/y3/zWO0zsgKHpcWm5TksVpnPFvJYZMoLgD9UrBtvdiXivz9TTe8tG11XKhaOmqMfX+u2ulc3vR6bP4kyZMBTfWJ4p06jkGKYzzPdvd4HDqRUatif6ja1ansNVbxwnxIkQmTwqRqZHlK6lyaF7+2mvU61a/kQBxqPggIN6Etp9m7VUaNao5DIe6im+OEiSBEWW8YMIRUmeywQL9RPOPp81GIZ6RMRRKzx/ZnpHjMwBx39+kiufNJ6qiOPXfu3X+Ht/7++RJAm/+qu/ytTUFJ1Oh3/5L/8lv/Ebv8Hf/tt/+2k+/FOH64eZgAPEYPxRRBy+H3J9YwCSxKWVBvoTWNDCKObDOz28lCB4Zr7CW9fa9Mfi+Q1Ncajzgpj1vTGDsUcYxrx7q0scRfQnHuWCThBEwpm6oDLdKPLtryyyOF3GcUP++L0dTDvEcUOmazJxkmDoCqYjXHpJhAjD8yL8KMqKmflWiblWAU1V+OEHe5mjhBdEmI6fOsJAIafSG7m4XkDO0JhvFZmq5/nuD9ZxvAjPF6kal1aa1A4VDOI5CJfrna7JymyFMIqxnIhmLc/Y8jm3UOVbry2w17OpVXRePn/PqvrwZ2jaAZ4fZS77B67VcZyw27UoL5/cXMsbKi+fa2G5wX3Nv/7Iy5oBnYHDwlTpkV1IF6ZKmPaAOBYJGo+i4B5MXG5uDiERKuIrZ5sYmsJcq8Rss5gdxD/rRuEpEATllMBQzGs0qkc/T+GWqTMyhaL85fNNIZpKoFkVBOZCTjQGg1CkUxwmysiShKLITNULVIsa9Wqe3sAmn1N571aPKBKKdccPaFRqWfNTHCzz5HWV4cRFV8U9FYTCrUKS8tzZGRLH4vqKopjBxMNyAyRgfqrE+aUaZ+Yqwnlzz6ReyZEkCXt9i3IasSdJ4v87XZu+6YrnK0vkDY3VhSovn2uyvjthZbaK7QZ89wdr5HMahqbw9vU25xaqFHIaYRSz37c5kyqaR6aXNX51TaE7ctAUhVYtlxHPHC/kT97dpjMUscXzaRLQft9CkoRozNBllqbLXFqpI0kSO12TrX2TMIq5uTnAcUNBbAsjrq71+fpLc+wPxIDGD20aFeOR79Mj18VUiUl6nxfz2pH17RTPD0p5nXdu7rPdFs31X195ERANC9P2KaeOErPNAsOJRxgJJ4gHHZ4/vNNjY29CFCe8f7vLS2eblAvCUbeU17A9n92OQxhFrMxV2OvbDMYO1ZJBPt2Hrq0PMuGA50fcWO/zlRdOVi2vzFUojxx+58eb+EHExt4EQ1NQZTkVR3os6EKw+EtvLLO5P6YzEOJARZHoDZ10WCKRxNAbCgepv/CdS2zujvjNf3cdz4/xfNF83O/Z/Ml725nDxnejiL/xF16jUtIZm36WThKl98XBsEGSoDdysnonjoXgRVUVoihB0xQuLNfp9G0qRZ0vX5458eCoqgq/+JUlYsReO9Mo4AURlcJRQnq9kqPYF0RUVZW5tFx/cOSoJNIQDnC4YZQ3FKpFnbyhcvlMA9MJGJlCsDIYuYRxTLmgY9oBI8t7oo4tcZxwa2uYufQosszidIla2WA48bLEsFOcjIO990miP3ZxvZBCTqM9dLizPWJs+3h+RJxAGIXIMuianPXqZUncD5qqoGkK1aLGYOIhy5KoBZKEuUaRK6sN/CBmNPGYmyoynHgnpjvJssR0/X5B7/FaRJIkSnlRb/hhTBBE/OkHO1lySz6n8uJq877BV95QjwwJh+a9OHRRV5tUis+fG8QpTvG0Ucxp3NkecXtrwMQKeOFMnZEVMNsq4LghI9OjVc0RxgkP0v3mNJkoiRlMbAxNpZBPCKOY/tilUc7RHbsiTS+MaPftVCxZ4Ox8lf7E5dbWEBBpRJdWnsx9+tPRDn36SJIkPa/EtKr5J5ZeMrE82kMnFef6ND5lslTOUJmqi1SDSsngzFzlp94pXVXkZ8oIw3JDIeCAVMyQoGoycSoMPuw2+eGdPpYjkiP3hzZBmKCogmhkefeEvc1qjo39Md2BSzGncmtzwFbHEiKvGxK1sk4UxeR0hfdu91iaFumBV+/2AXG2H0xc2kM7G4pCwgtnRM0gyRLzrSK9seiRXTnbyNI9i3ntiCvl2u6IGxtDALpDhddfnCYIEgxNFsTR9M8PJh5j28dxImFakiQsTJWIk4TRxMMP7jnwjSyfb70mHGv9IMJxAzojh0YlT85QGaRCkbvSOHMbTg4RRCQJ5qeKWG6I44RMNfKcWzzZpKVc0B5YawdhzDvX26Jvocq8emGaF882CcOYyrEez4MgSRIL06XMMWyuVfzE9+Bg4uK4IbVPkB58ilM8DTQqOf43v/oyf++/e4t/9t0bfOOluRNTTk9xilOcDNv1ubk5QlNlLq/UkR8hTfNxsN2551Z50qxrr2cRRQn9sUt36DAyA+aniif2DT4tgjDig9s9glAIRKfqeRamSmx3TJHa2zZpVfN8cKfHdF0kibVqBWrlHIOxR3/scnG5ztW1Hl4gyNwTx+ejuz3eeHGWwcRnv2/RrIq5ydj0CUMxh42ShHMLVToDYapXMMTPC3mF1fkKeV2llFdZ2w3QNAnXE67cBV3MIDpDl5wRIEniPTuoraslgytnmyiKRBxDcFhke+zt++B2L01lk1jbHfPaxSlKBR0/iDIBB8BOxzoi4njt4jRzrRLDiUg3kGWZKV1FkuD8Uo28oZ6YsOf6IR/d6QsDKwmmawWRcpAIsu2z7AjeHbpZAmUUJez37ccy23sSeBr9xUeB44WZAaEkwaWVxqcyVYmTBNsNAOkTJYqUC3o2m761OeAHH+wBkDc6vHZxhkpBZ2mmnBF5WvU8siwxnHjsdE0kWcJ14zTFpsritLiWBe/BpV4RAqgEaA8ccoZKFAti2cvnWmzuT7CdkEYlh+tF1MoGjUqO7sghCKNU7CUxsQJKeY1aWcdQFZBEmp9wIJfJ6SqGrlDICfOaUkFjrlkkTmJubwoRlUjQcRlZHrIsp4kGPre2hpSLBtP1PDsdCz+I2e1ZzDVLtKo5Przbx9AVKgUD1w+x3TATtIjndO+csZAaVt7eFr1/xxXJOpv7JrVy7sgcdZByHg7q/t7IQVEkumNHCFZmK4+dptMbOSLBo2x85vfU42D3EJHXcgJGpvdMmDM8Kvoj8dm1anmKeY1qUefCUj1Lf/y1b5/n1uaQ7Y7JpZUG1zcGlPIqsiwThAEf3R0QRrG4hhWZ9tChHsO+G2DaAX4YEUYxEhJhFNPuJyBL5A0lTc6MmW0W0TWVSknnwnKNRbfEb/9oHdsJKZcE76ZSNPjobo/ZegFFkrDdgGt3+7x0rsnEvmeI0Bs5+GHMjbUBXhjR7ltIwPJsBdsL0FWFpRlxbSuKzFyrmCXdL06V7jszl/Jalj7v+hbNao5SQXu2Uo8eswQq5ISgszdyQYKlGdF/OZgb7vWszAwib6i8uNp4ZoQcE9tnkooWP68klM8SiiIz/Qz1Cw8QRjFvH/SeFBnb9VFkiThMUjPImJ2OiZqaLJ9bqHFjY0CcJDRKOt2JK1LkEEkOv/PDDUaWh64pSDL8wuvL2WMJ0xNhnqqpMlGMEEUkCZeW6xRyepYC/L2fbFLIC+6PrMj0hg4XVuoUcgmFnErz0NrsB2JfLuY0JAnu7ozx/IjO0En5CxLffGU++/3ja33RUJmkc/F6JceV1ZZIIlGkbM4/m84wr6w22ela+L5I7zszV2VzXyR/SUgsTJXYS9ehhelSylUSyX0PE0ls7k+yNayY17K6HzgxTeR5wHbHzHqz/bGLfQJH8rNAHMfc3Bjh+AHnF2sP5m+c4qlAQgiYSZLncv7nB/cLBcLwAUPXZxiDQ+ZXAB/c6fPShbnP6dl8Mnzj5Tl22hZeGFEtGbx++ekkFD0PeKoijr/21/4am5ub/MZv/Aa/+Zu/mX0/SRL+4l/8i/zVv/pXn+bDP3UosowkkRUDjzow++6PNhhORMzgB7e7fP2ludTB8JNvbBPLzwiNIBqoh12WHS+kO3LZ6ViMLY+13QlRGGFaorHoBzHDsU8Qx0gk5HM6UZTQqhaoFA2CMGZxqpRGIUsUcxqKLGHaAfOtIjc2hTuFosjIikylYNCs5ZipF3j5fAvTDri+3mO7a9Io51J3APD9mO7IwXIDrt7tU6/kMDSFl8+3OL9YzZz8hqYPScJMo0A+p9IbOYwtn1Jep5hXKRd0jDmFBLICUZIkZEk0d/b7NmcXqrx0roWuykcOMgtTRdZ2RCJJM3X3uLrWY313guuHWYNTe4jYRteUIw3rxZkSW20TVZGYSklyksRjNavLBZ3XLk4RhGJQ/ihOqN2UnAFikxlOvIxsIEnSF+LA9KyiVNB59cJUmnKh3NdokCThTO36Qjwh0mMioig5EmF7UiNNTt026mUDCYndnsVmeoDfbJuZK5UkSxiaiqrIXFyu06zmefNaO4siFKr2HLom4/khuYLCwlSZ4cSnkFM5v1hnr2vSHTlM1wvoaSPyzGyF+VaJwdg98nqWUlV7uRhk177rR5huIFIDZInOyOH9G20WUpcNywm4uTlgq22SM1QqRbEeLbSK2ToZRaJRa6bNAEWRU7W6UP2OLY+cLhpK5YLOft/mzettSKA/ctjrWsy1ikRxQhhGFHIac60yb7wwnX0unYFDnCRsticMxkIo4ocxjXSdUhWZK6tNvCBCliBOeOT79DA+yX1+imcPb1/f56M7wmluMHH5w7e2+Pe+tsL11BENCS4t16mWDF690MJ/wDpwgEkaNeoHQsQYhDHtoZPG0+u8e7NLrSTc3Qp5lWYlz/7AwQtiirmQK6tCwHcYxgkDOBB12W7PYqttMkkdYRVFxg0iNBVIQNfF39I14VQ3toQI8+p6n2JOI0kSfD/i1YtTtPsOQ9NjY29CuaBzYaXBxeUa1zeGyBLMTRW5uTVgMHKwvQhZkijkhYvzpUNrIIiB7HbbZDDx0sSMMpYj1g/TDcjpgtCuKjJT9TyKLHNxqc4bL8wwN1W6L3lkcbqE5QjBZqte4PxiLfsMTqrDFFm4s3mBEJIer/W+fGma7/1kkzhJ+JlX5tEPvce9kZvViDP1YjZM1jUlE4kePMbh4632hJutrh9mAg6AztBhaabMhaXakf3mFJ8NDhrsQSiapIoiUSvpDCYecZKKkxKII1ClGE2FBEkkzyXi3FEvGdQqwlnaDyLCSDhO+lHExAkoF3Qmtk/Z1rmxMeDsQvWR3VaO1yLX1vsEfVs0YySQJBnvUGPDcUNsN3ioOFg5Rhz5aSf7nuIUnxTDiUtv5GC7IY4fstk2KeQ1djoiDcf1Qnw/wrTCI72IA+iqRLmo4XpxmrYjxPu+H1EtGzhBxPmFKu2CzsbemDgBNSVRG7pyxOBgZPr4QfTIQoJ238ZyRTz3TL3AaOIzscUZ4tOkPjxJJEnCXs/G9QVp41k7G6/vTWj3RWxwu2/z8rnWExnCyrLMTL3Aft9GkSVmGkXu7ozIG2qWNPa4WJ2vMtcsIsvSExObnELg8L10mFiSJIJw5nghBUPFC0KGEzGEXZop88JqIztTWk5AZ+iga8LddZAKPpIYWrUcrh+ja0KgvLk/IYxiygWNJBZuc6oicWt7lKVzTGyP7lAGSUKWOCK48IIIQZMSZMNqUU+HBxJTRwbZEstzVZq1AFmWWJguP7A/cpCIK/qMEgutEnOtEpoq0x97XF3rEYYJspQwHHuEUYLrh2jqvevRVH32OhZRAooi8dLZe6I0XVN448ocnh+iKjLv3OhkP+uPXKL5RAy3E/F+OH6IhOilLLTKuH5IMa8ecQQ9DEmSmGsVieNY9DQOrTXdkcPNrWH2bw29x7dee/yk6vlWiWY1T5IkJxItHwXtgc3ajkhY3OlaXDnb/FTuzKc4xZPCz395kT94e5ufXN3nH/3WO/zf/sa3niu35FOc4vOCH8b82x9sYKdzwe7Q4ee+9Ph7zMdBVST8dA+TJO7rax70tEamqD0U+eS+wZOoy4cTkaB98LhBGKNrCqvzVeIoQZZFv6vdt9nrWVSKOv2xy8pshVopR7koyNBbbZMwSpBISGJhgvXuzQ4SEmNLkH2vrDaxvYC9rs12x0LTZFwvRFVFH3K+VWKrMyGvyeRyOhKCFKKmsxgSUUMtTpco5DVURUaWJVRF5s3rbX7laytZbX13d8SfvLOD64cEYcxu12SuVWJ1vsLtrRFxOif9/vs72Uw4gcwsUJGlI2fFk9bPgznSyPIZjFx2uibVosGXLk4/0EX1wJTo4AHDOOa1i9OE0bM/01COWSV/kXpSg9TEAcQ10Rs5n1jEIQjdKre2hsiSdETQPLF9uun54+BaPozu0BG9yoKe9ShvbY2ynztexI2NHs1qgXlDcBHOLdZo1fJUCg7X/D4A9bJBGMaYjjCKurs75K1rbZo1kTpaLup89fIsH93pZfW2uAfEOWFhuoTpiKTTpdkSzUqe+VYRRTrgDUgEUUwQhji+RKWgoWoyc80itZKBLEsoMpxdqGFoCmfmy3QGDoWcRk5X+O0fbTM2fca2MJfUNYVqycByQrwgJG+ozLdKhGHM3Z0Rhib4DXlDZaqWZ2R6XN8cUjDy5HMqQZCQHLLjP+jbHpBQNVVhZHr0R+L9ldJLW9PE/1DTa7/dt1nbvVf310oG/bHL/sBmZLosTZXxggjXC9gfOCSJEIofny8dxnDi8t0frmfXl+kEGUn3WcPzvgYcXpfzhkqtkmN+qiTc4ZOEu9tj3CBCUWS2O2Zq2CDmBUGYsDxbhraEgjA3mzgBVmrk6AURYRwTRzH5nE7BUIgTsNP7RAaQxHMopIam9XKOzf0OkiQJM4XUCLVSNNBVBVUVwov9vsXKXEV8X1MIwjh97yX2ezZbXQtICIKYINzl6vqA/silXjboDBz+7M+soqoySzNlpup5JEl64DV5YanO0nQ5vV+kp7Iv2W7Aft9GVWSxbnzMdXR2ocrVtQFruyMqRYPXLjz+vXFuscbClBBraurR190Z3hNrOl6I6QTPRI9zbPlcW+9nPKULy7Unalh3io+H64fs9WwkCVRZ5tbmMEt6KOQ1coZClIgk35whYzkBuz2bOIHVhQqNqkiKa1QNfvuHm/hBgCQlyDJstScctMDevdk9IuKolQ0MTRgt5nWFt67tZ4Zum22Tn//SIu2BLUSQhoosScjpvVwsqIxMj07f4YVjYqQoirG9MOt5dYcOG/sTPD9ElmTyunpExHF8rf/SpRm2OxPiOOHcYg1DVzD0e/fScOIxmLhZf/xXv3WWiRNQLRpcXetnj+sFEdWinvHtFFni/Vvd7Bxiu8HHGk8cvl8tJ2B1vvLc99TV9OwFiD3ic9pXf/TRPrc2hwDc3BzyP//W2U/cIz3F40GWRM2c19XMBPJ5Q65w/75Zrz4bc8zHwfHxxP7A+nyeyKfA0kyF/+2ff4mh5dOs5DNe2hcRT3UFkySJv/N3/g5/5a/8FX74wx8yHA6p1Wp8/etfZ3V19Wk+9GcCTZU5u1Bla99EVqRHchmwD7nlDSYurh+xOl9hMPZ45ULrE29whq6kUjewvYCx7aOrMmEUo6ROu24aOaOqMm4QEscxUZIwNAMkEgoFFccJ0FQNQ5XRdQU/FE1AQxOHHV1TsNwAxwsZWz5TtQLffGWeeiXPwLQp6BrloiCVLU6VMHSV9252+PBun0pRR5Fl1nZHXF5p8MJKHaSEZjWHmboCen6EoSl0Bo5Q7XoRuqpwZq7C8kwJRZGxHJ/1XUFO7wwclmfLWZGzNFNiYgXMNgtEUYLjBcRJgukEmFsjLp+5Pzr01QvTlAo6Xip0+c1/e42R6dGsioaJoSmsLlRZTF0GHxXzrRKzjSKXV+qs7wqRyNJM+bFJGKpyP2n04yAKE+/Q11/cBe5ZxMM+T0mSjlyjmqoIEvUDsNM1GU18inmVcwtVNtsmsiTRHgryj+2KQUOSJDQrOYq5iPNLVc4v1Ti7UGO/b1PKaxRzKkEY46Vk38XpMo4XkDc0ZFniwlKNYk5DVWXKRVWsA27AnuUzVcuz1TaRZYnZZhFVldjcE0Tzr788T7tv0Rs5FGp5pmp5EiCIIjb2Y6IwRpVluhOPN6+1eelsk62JEKHVKwY7HYswjFmcKRHFwi1oYgXsdEzKRR3LDQiCmKWZMl4gkoJ0TWGvZzOxRPrBXKvIxv6YOBYHUySJieWJ6FFd5dxqlddPcOvP6Qpj0yMIYppVg1JBx3R8ZptFXk3TfNoDm8HYo5BTWZopf+Km0OPe56d49rC2O8YPYuIkQYphfW/M0DykfE5jRKtptG3+0OfthzE/+nCXiRXQrBpUioYg1msycSxTKeqU8hrbHZNCTrjvh1GMJIlapDf0KBgaeV2lYKgU8hqm43PlXIvhxKM7cphpFHjhAW7aW22T3a4lyOBxgp4krM6VWdsTLhOtqhhmVEs53nhhRiRfpVHle+ngslXLZy61miZTS4ldE9tHliRevTjNC6tN+mMH24mwnYChJZKJZFkiTN217l8DZS4s18X9mw5//CDCckNsJ8TQFV4+12S+VWJtd8w4ve/PzleBhB99tEdv6DLXKvDaxWlyusqrF6aO/L2HoTty6A1d8ul9fnj4GUYJX7ooHH0lJOFUnK4Dx/ffasnIGjJ5Q2VlrsJu1+TMfCVtLcN0vfDEnSI0VclIcEDW6D7+Xp/is8HBurDdMTFtMdQLo5icIWM6R383kiQUSZAO/CBA02XCKKEzctA0mXrZwPUjJEmmkBNipr2uSWW5getH7HYtlmbKDE0vG5BGccLm/gTHDWlWcye6BB2+Nmbqed653iaREoo5jVYtx3Q9f+h3eaRGY61sMNcq0hs55HRVDI9OcYpT3Ac3EMLNUkETQs4golHN43khrh+BJM77fhQjy0BEloCpSML9qzcSjoyggiSRMyLyhtjD8roq0vwUme5IuC1WUyKCpiqpUETsyYoiPXJ9epgQ0Bk4XFqp88Jq47H2288C2x0zq2E6Q4eXzjafKef54eSeiMYPYhwvfCJ1gaErvLja5PJKHS+Msf2ATqozjuOE+U+YyJU7rSOeOPb7NuvH7qWDQfxu18qcNqM4YWz5WI4wNJCke2dK1w+5tj7Iaj9NlRlbPl4QcmGpxqXlBvt9i2opx/xUIXODu701ophXs1rR0BUSLwKStL8oxKOGLnNmrkSpoBEn8OJqnd2eg+uF5AyVsws1CmfV7G8U8zqWE9Co5sjpClF6Li+mBMaT1plGJcdcMyROxBpSSRPtAJIkpj0QaR/CCVfBD3w0VaFZy1Mu6kRhzIXFGn4QM7Z88oZ61MkaMXQtpGJ0VZUzpy1NlbN6X1NkiunZSkLKyCslVdyXY8s/cQ3xg4jr6WcwtgLiWJA4AMIwOiL+OHCF/iT4OFLVoyBLc4H0ufqn54NTPBOQJIn//D98lf/8v/4e19cH/E9/fIf/4OfOfd5P6xSneOYxNt1MwAGw17Wf+GOcX6xxd0f02Zdmy/ft4wvTJbwgIp9TKUoSlaJxYt/goBcJgpB15RPU5caxvtvhfbFY1Nm4ts9w5OIGEZdX6uR0lXo5Rxwn1MoGcZLwOz/aEKL2OGY48akUNS6s1Pnhh3vUigYXlmrEccyXLk/xk6sdJqaHH4a4vkh0mJ8q4AYRpYLOpeUGuz2L7shBlmRmGnmatQKqJuP7MctzFVrVPNWSjh9GWHY6r1VkRpbPQlqT53UNTZXRNYOJ7XNzc8hcq4QsSYKQH8eU8hqXVxppAnDCuYVaZiyjKDLnF2ts7E+QJYkz8yeTynRNYbqW50/e2SFO2ZY/+GCXn31t4ZHf7zhJ2GqLJOn5VulTJTw8TUzV8lhOwHDiUcxrzKdmYl8E3Pe5fYp5setHBGHC+bSuPUiZdv0wq31BJM8dpD+AEI7c2RaCjYPZf7Oap1TQhClhikrpHtFX12TK6fU0Vc9Tr8wRRTFb7QmWEzLfKjAwfSZdH8eLsL2QM3MV+mOXq2t9rm0MRBppNUcpr7GUOl0fzAbWd8fs921MJ+Dm5pAXzjaw3ACz4BPFCXldZbZRIGfoXFiqkQCbexMURUZTJGIgimO+/94ezWqOj+70WdsTDuEH7v9D0+OV81PMNgu4fsTtzSFBHGdC/byhst2x8PyIKI4p5jTOLdb4xa8s8dGdPkmScGGpTv4EMuJBzW67Adc3BuQNjWJe9JGWZ8qcXaxQrxiZocbhOdVBQrKhq6kAxENCIkpEws/BUWU0EbyVB80893tOJuAA2OmYz6yIY2W2QhiO8IKQqXrhmV2rHoRGJcdMs0B/5FLIqdl+oWsKURQzsf3MpKszdAjDCMsJKeU1VubKzDaFQerm3oRqyWA0ESI+P4yQZQlDkUkURQg1gxhDlynnVUZWQCGvUisZBEHEt7+yzPnFGt2hzQ/e32Gv5zDbLKCpSnauffXiNJvtCf2Rx0yzmD3XnK7y4tkmBUMlimOubw5IklTUIQMk2fnU9SMmto/p+NRSAcCjkHKfZo8qimKurQ+yvoHjhVxcrj/w9x0vYqZZYKqWQ5ZlbC/iwb/9YDzoNRmagpOS5JE+fW/gSWFkehzSnTEy/VMRx2eEOE64vjbI7kXHCzMBB8Bcs4R0UWK7PSZBRlcVxo5Pf2wThhGXz9RZnhF7tx9EgiOwM0bTFKbqBQYTlzCMxZpxjE9TLRnUykZmntgfu9k92+47vHurjSqLa7RVEWk+m3sTmtU8siTz44/2AVjfH2NoMoqiEEYxM40CU9UcN7dGyJLoDQZhTBRBLMWYnn/kecw1Crx5dZ+JHfDiaoPpej7jCpaOGeSaTsCNzUF2vR70x5v6vX5mZsaY3mMH99nI9O4JGBB77DIPRk5XMNPfFzMY+T5h1vOGc4tVbm+PiKOEhenS5yZG2eneI6t7fkRv5Gb7zimeLhLEtd0bCRF3/hnZhx4HmnZ/jfs8JnEchyY9n5zDfF4nn3++avSngac6mfnxj3/Miy++yNmzZzl79uyRn9m2zYcffsgbb7zxNJ/CU0ezmqdZ/Xhn2/XdMf2xSzGvcWauTCGvYTsBQRhTzKnIkhBbeH6Emr93Qz0O4aGQ0zi3UGWva9Ee2jQrOXKawsT2WV2osjBVwnID+iNPNBGKBvVyjt7AxfZDijmVldkKsizR7ttUywaNco5GJcftrSFjy6c3cnC8kP7Y5fJKg7WdEd/9wTq6JrMyW+X8fI0ffLhHFI/JGSovn2tyd3eMmpKu/UAINCpFEZn20VofXZOx3QBDVzFdn0ZZNDdqZSMjj8w2inSGDsWCztJ0mbHlsdezsNyAvKHSque5uFxnuz2hXjFYfrmSFVG3t4ZH3EQtJ7jvcF7Ma7xyforv/WSd6+sD9noWjh9h6MIho1XLc/kBxNePQ2/kZAKfswvV+9ITkiRhY2+SXRtnF6pPhMS9MFUijhNsN6ReMZ4J5f0pHg7T9rm7O6Y7dFAVmWY1x9mF6n2NCccLubM9ojeyGZkerhfTqOYYTjxqZYMXVhvMt0o4fsi1uz3WdsdEsYj3rldy/IVfusjE9lnbGfO7P95gOHZBktIoVAUpAj8Uzv8LrRKOHzHfKvL65RlMJ2Bs+uSNPLYT8v7tLrqm0KiKA/hBDG0YJsw2haPrR3c7/OFbO0RxQrWkE0YJv/bt83x0t853f7jG5r7JxBb/rjdy6Y5sYoQrUKOSpzt0cP2QsSUGUOWCjhdEjPY9TCcQa0UqUNNVBSkvYVri0HZwNHW9kKlagbHpkyQw3ypSzGkilrEqSB4nOUydXagiAf2JR7kgSPTVks6ldD0YTrwsrnRi+1hukLlRrcxWHnrvvX+7y411oeT/mVfns2bUKZ5PLKRCvzgWJH5Jgo29MWGYZOv/g+Ko3/xoj7WdMX4Y8f7tDq+cb1EtGaiqzGxDCKPCMGFkedzZGWPZAbYbMNss0qjkaNXyIh1GlfHDmEnXIowiTCfgy5enKRf0E+uJzsBhp2Oy3TEpFzQMXSUMI27sTwCJP/vNMzSqBbojh0rqkqVryuEeHGGckKRpIWEUk9M0DO2eS3/eUNE1RezTKWndSiLu7E6EMCxNgZBkmXdutJmqF048YB9+/tahgbTnR7x3q0d/7LE8U2ZltpLdz29ea/OD93fxg4hbWyrFvMqFpcZ9f+8AJ9VdY8vnxx/tM7FEA/n6ukgZW5wp06zmsJwAOU0Y8ALxHhw0X2abRcIoxnJCqmWdRiVHEMbc3h7iesJp8LWLTz8OUFNlLizV2O1aKIr0sY4gp3j6KKZCLD+IkBDXsJfWyLoK/qH0zihMiCVBnpQVGRKJBJEg1R97VNOaVlMlcrpKFCVUi8L1JghjnPSPHW5Q3tkdMhiK63li+1ni1YPwk2ttJElioVVGUSR+8SvLaKrE+t6EMIyZaRYeeUiwNFPOor9PcYpT3A/XC/nxh/tcX++jKhKL02WWZirMNgt4QcTm/oRra32c1DleksSaIAGyJEQXYRiTJGL+6QZx6o6v06zlKOU0kEQ9rWsKi1MlOmmT9dxCFS11kd3YnxBFMVGc8O7NDuWizup89WMdsC03OPp16gD3LAk4gCNppSRgOeEzJeIQpIvUtViRHpii9rhYnC6TJMIFOSE5ktB15D05xecOyzn5XgLojlzevr6P5YbUSjqLMxXOLtQAMvJMHCc4XnhEJLDTsdK9XmdsiUHmt19fAuDt6+3s90QSaIyii9p2db7Kjz7cE6m11RyeH1HMA0joqpaJEnK6gtQT5CtZgrPzNRw/QJYkVmYrR0gHI9Nja3+Mrqv31aT7fZvdrommKlw+02CnY+E4IVfONnjnRoera32KeZ3B2EZXFTQFPD9gMPGQZZnYFQmZB0TvD+90+eFH+4SREETJDyAfSZLE5ZU6G3tCPHP8ee11LT6820ORZC6vHqJdSIKw9u6NDkra9ztYT45/Boc/11atwFyrwHAiiDbnFh5sCGQ6AXd3xFB0cab00P7zx+Gks04pr90TckgPPq+e4hSfB1q1PP/pn7vC//O/f5f/9t9c5WtXZpltfnFIt6c4he0G3NkepUKBElP1h+8BlYIujNnSdIZa5ckPwEsFnZfPP5ike5D+vTpf+di+weHzQ3JCXf4os9FKUcfQFP743W1Mx+eVC1OUChrNap7hxGU4cvGCCM8P6Y1s1lOC9RsvzlLMa9zdHmE5AZYTUi/lqBR0ahVR85RzIpksSRLiJOHa+oC3ru2z37fww1gkfwQRM40iX7syh6rK3FjvU8hpyJKErsnEccJ2xySMIuabJV67MMXCVImVuQq3t4Z8cLuHpopk4eKh1z62PNZ2x7h+hCJLBGHEwlSJD253mdgHKSsu5xaqfP2lOQBmm0cNOuqVXJac9nFEFCVNNj5A71DK+vHPol7OsTxbFoZWeUEivrrWz+oc0x7w6oWpZzLtV5IezYTxpxHNal7M01IjuLlje2kQRtzeGuH6Ia1a/oFmhiPT48aGmJ+XCtqRueXx2te0j5Iqj585LSegWc3z4kqdd653GFkeV1ZbfPXFmQeuG2oqThpZPpYTUi7m6I6EKMcLomxGGEUx76Ype1qaHPD65RkWpo/OGw6nZCcJVEs6l880cL2QoemDJKHIEpoC/913rwHwS68v8a3XFnDcgD9+d4et9oThxKPdN7ix0cd0AvwgZnG6yHSjyHStQBBGdIcO1ZLBz7++xI8+3GWvZ7M0W6JgaJCY9MYOqiwzsX1ubQ15YaUhzMLihFcuTH3sWmg5YTYIvbzSoFLST+QzHK/7a5UcjhtiOUGW+rPXM1HkEnlDrEfHZx3H0awZmbkoQKNicHdnxDCdp64ufHwf6bOErim8sPr4PI/PC64Xcnt7RBAKUZDpBFmC7rX1AR/e7vHKhRbn0pT5nKFQjXU8P+T21pDpeoGFaWG88CtfP8MPP9jFdSPmp0tMVfO4XkStHNIbOez0THRVGLjGSYKhiRkDaZJUvZyjUjTStBghzPzem1vEcUIYRWx3TL56ZZYgiPm9NzfZ7UxQVYWXzzfRVYWcofDBrR5bHZP3bnb4c99aZTB20WSZnK4iSRKzjQKL0+UsxUZXZQxdIWdoGUfpwLjt0/QZN/cnwmDKUNM+6KMTTr0gOrKfHu6rnQTLDSARBn77PZP2wMbQlEdOS38YVuerbOyNCcKY6UbhmTFZOU6UP/71KZ4ewig+YhKiKiIhdjjx0FSZhakipbzG/FRJiAj3x9zeiQijhDgRJib9sUMYJVxYriEpMlONIpIk1vdqSWc08TAMlddfmD3y2Ptdi+vrg5SX4LPQKrLfE+T6Ri2XCTgAHD/iSxenWZmtUC7o/PHb2+z1hMlkIa/x1o1u1icbW2J+Od8qCrNpVaZVyeH4QoB2vKZ552aXMErIGyp3d8bYbsBg4mfJxp4b8YMPd9E1mV/4yiKydO95Ha9VVuerrO+NRU1y7B7LGyojy6M3dFEVmSvnmgD4fnSie/y5xRobe2OiKGGuVXykteeg/vYDUacdiBCfFYFCIac9E8LNUl5lfXdMFMVUywb18ikB/LOE40eZUM8+TG54TlA6QTDw05AAoRnP794bhvEDk0G/KHiqFd2v//qv88//+T/nlVdeue9nd+7c4dd//de5evXq03wKnzt6I4f9vnC8GU48dnWF73x1mQ9udUVDsSKGseIwcuAql3B7a0R/7GJoCpdW6h9bfIehUNmXiwbFvIaVKq8VGepl4ZZ7a3MohrGyxNJ0GU2R8dJiqFkTsZyKLPGt1xboDGziGC6fqTMyfXojF8sN6I1cKkXRnOmNXG5tj/BDcYi/uTlAkmIRhaiKOEPTCeiPXSamh+UG+KFEktNZma9wfXPAcCJe38T2WZ2v8tJqi0JO5cxchYXpImu7JmEY44eRIBx4IRPbxw8ixilJ27QDfD/CtH0mToAiS7hemDV3amUjE3FIEieS1NZ3x/zpB7u8eW0fRZbQdZnhxMscDT6JK2UQRtzZHonI4gBubQ159cLUkd/pj90j18Z2x2TlCRArZVliZe6UoPmsIozEfWJoypFmw+2tEWPLY7ttprFzEmu74/sabnd3RoxMjw/v9Nnvi0O/0VaYrhfQNJnr6wMUSeIrl6eJo5j1vQmNSo5CTsPzIxwv5MM7PRwvZLdr4fghuqKwE5vMNgt0hsIhu1oSpO8/840VLi6L51AuCBJynCS0Bw5vvDgrHJ0Qr6NWNnC8kJ2OiekEqIqMH4bZoXEw9igYKo4Xcm6hljp2uNhuSBjE3NkeMLZcEiRGpotpG0iSRLWki3Vxe4iiSPzROzuMTI962eAXv7LMdC1PpaCh6TLTtQJ3d8dIkkSlpDM2hTNmvWJwYanKft+hVctzdr7Kbs9CliXmWyff45qqcHGlwdJshb2ehSJLR9YDxxPiNEWWkGWJ25tDZtID462tIV++NP1Al5ru0M6ayY4X8YMP9vgz3zjzCa6oUzwruLBYY6pmsNt30DWJ5ZkKhqbiBz6Nao5ayaCQU/GD6D5HgsHEZb8n7kfPj7DdkEYlT6uqH2ku39wcoMoypYKINZ5pFFiYKnLlbDONPE2wHJGWJUkSph3wuz/eYGGqRLmoc2m5nqVBeUHE3d0Rvh+RAHs9m0JeZWNPCDq8MOLtmx2+8dI8I9OjVjIYWz4b+xPmW0Xm0vVirllg4vhMTI+pZpEgiqkWDRRZYqZeYC51NisXxABBRA475NPY0kpBJ06gUdaZ2AGeP6Fc0A85asT31UBRHGdOF92hzfJsGdPW+We/fZ1iTqNRzfGdry6ztT/JBjK2G7DVtjIRx2HYbsCNjQF+EIv14RCRar9vMUgHmJv7E25vj1iZrbDbt/mlryyJxlXqOnbgJnwAWb5fMLHVnjBOf3+vZ1Mu6p+JE021dCrqfFawOF1CVWRsJ6AztNm/YzFxRFNflmR0FeI4JoxFBKaMEEtJcUKQfk9VIAojxrZwS16eKeH4MfWSgaYrdIc2rVqBWtlgebbMbLNIFEX889+5wfu3eqiKxM++KpL0XD/8WBHH4eZlFCXYrk+rVuD8Yu2pvD9mmkxyKmw8xRcRf/jOFjc3B9RKOWw3QFVl/uPvXOD2zpiR5fHezW4maHY9nyC8R5KIEiH8UiRQVYkkToiiGFURZ80oSlieLXFhqYahq1xd65Mk0KzkUWQp2yPiBKbr+WzfBMS52Pj4c3G1ZNAZCBK3JEHlGd1zaiUj24dlWaJceLYammfnq+zoVuY29qQIUIosZU6oB+fBA5JNrfxsflZfVFRLeuZGe/xe2twfC0IRwl2zVctD+nPDUHjnRhs/iKmVdVRFzgwGqiUdx4uI4oRiTsUP7hEPauV7926tZLAwXUrTJVR+/61N5FScbnshRUPDdgOKeRVZJjNe2do3qZcNKkUdTZUZTNzUnEJiqn500Pnjj/bEwFSV+XM/e44XV8Wg0/FC1nfHmClhY6s9YWm2hOfH7PUsrt7to6oKthuy3TEz0lgQJTSqOXwvwjAUaofceyUkpqp5hhNBNPy4lFrTCeinpKZW7R6JdOL43N0ZZY+33bb42VcXsF1hhrO+PxGkpQDubI94KR1gFtIU0wOSR7V0r9bKGypvvDhHb+RgaMrHktJvbw3xUiLune1R+h4/3jApCCOurQ9wXFHzXViuZ2SquVYRWZbS82fulGBximcOv/y1Ff7w7W3ev93lv/mtd/g//2ff/MQJuKc4xfOG29ujzGH57u6ISkl/qIGCrqv80leWuLrWR9cUXvkYscXThqYqH9s3eFBdniQJNzeHDCcehp7ORo8Jm10vRFEkojjh1tYQ1w9JEvjgVo9SXufrL81mCd2lJGEw9ri6NkBTFeZbRe5sj/DDGEMXM1ESKBd15qeKqLJM3lC5vNrg7ettgjBmcarMWynRPIoSVFmiWjQoFzVmGnmSJMG0feIEdFVGVTSm6wX+4M1NhqaHBNzeGfHy+RY/96VF4jhhebZCpShqtGpJz2ryKE7Y7YqZRRBG2GFMGMbs92zaQ+eII//iTJkwij+2nvjjd7ZZ2x1j6Aq/8PoilYKO5YaUC8LUqlnNHxH+zB1KqOgOHa6u9TA0lal6ntX5KrPN4pHHspwg63XHcUIQRs+kiOOLjvlWifkHLAfre5Ns3r7TsSgX9Pt6yAf3ZRwnTDeEG/dMo8C59B4vpT3xg/PH8TNmrWSIWXgaRX3w99+93aNWFu7dpuOz37MfuG6EUcxuz2IuNbUajB0a1RxJmppRzGm8eLaJIkm8f7sLiHlEvZw70VCmms46QBgo+KHgc3RHDiDheBHv3+nx9o0OhqFQMDT+B/MW/6u8yge3erx/RxjcOV5Id+gwtgN0VcJyI9Z2xzTrBS6v1hlOfMIooTdyGUxcCjmNQk6cq3pDkZ7uehFBOjfWNYX1vTHFnEqcwF7PYq5VvE8MIdZBmXJBO5LAXXtAL+ag7u+PXPoTlyQWArXF6RLTtTx+GGM5Ppv7E1q1QjpTVj/WeLJVK/DzX1pkfXdMuagzXc+zuS+SI/tjl5yhPFAUdIqPx92dcSaQ+/HVfWYbBQxd5fff3qJaFOf9339ri3bfRtPEnK03cvEDkfRSTPfUva7N7/x4Q3zuYxfHC+kNXRw/pFLSyekKmirRGbjoqkj5JgHNkDEMjTg1qMtpMsWcSl5TseyA4dhlbAeoqkJeV2hWC1xb7/HuzS7DiUcpp7K6UOWNF2eJ44TNtjBD7I1d/vlv30CShNP/XKuIBHzj5TleOttif2CzvjuhVNB46WyTwdjNOD4ZZ+cB8/yHYbdrcnNjQKmg4wc+m/vmkTngw2DoKoauZOfzh/XSKqmx3l7Pxg8iKiWDOzviTP8kHOs1Vc7W4GcJ9UqOc4tVRqZPqaA9MdHKKR4OTZUp5FTs9Pwwlc7nu0MnO0MMJh6SJJE3VKJEJHCLUjhhs23ieSERiRAHVfOUchqyLNOs6My1StzYGFIvG7x07uic/frmgCgSxlK9gcNso0AYxcRAq5pHVSTC1HwmihLeurovDFTzGt2xLWYXcYwbhMSR4B7GaYqvJEnZXhLFMV99aZbttklO1/jmK3Ni/7J9igU9Ezsf4ObmkEpR3KvX13rc2hwhyTKWC9/94Qb//jfPPnD/1FT5Y2sSXVMo5NU0ETni//OvPmSvZ1MtGfylX75AtXTv2jc0hQtLR7N4XD9Mhd/KfX/7+voAywko5jUUWWKSimO32yaVok75CaR2H+CAw/WspPk8LmabJdoDhzCIWZguIT2nCQTPKxanSoxMD1WVMwOB5wmDQ0l1BzgsTH9e4X+K1O/PC2Pb5/d+vMnE9plu5PnF15e/sGKOpyriSJIHX+BhGGbOxT/NCI65nARhTKWg881X5kmShM7AIYxjpmr57BA+mHj0U8KgF0Rstif3bewHsN2Q7/5wDdMOMHSF77yxRKWoM7Z8hqZw+d1500TTFGbqBaJYRFotTJVY3x3xk6v79EYukgS/8PoiF5bqRx5rc18crKK0+SLJQv3uB0Ha2JMIooQgitjv2WlBpdLu2bwVt+kOHMp5cRAsF3Qurojoz97IEZF6gCxJVIs6s60SC9Mlrq/3efdmlyRJuLTSQJJgplWARAguinmV6UaBieVTKeooisRW20yfZ8LdnVHmbN2s5lFkkfZRKRknusr95OoeYSgiiPd6NtP1HLIiEUYxSUzmcvw4iKKEw5f/QfPqMI5fGz8N0Uyn+HiYTsD19T5RJBofl880svs+SN1uAUjEvT8Yu2nj+17hfJDaMzY9ZCSCMMb1Q6YbBfZ7Nlfv9rm9NeSVCy3iRAi5XD+knOjMNAp8eKfL7a1h9liaLBNGERM7plzSMW3hthGEMY4X4XhRttFfXeuLxCBFwtBlQGVppkzRUDm/VKdWNtjtmpnzdxBFKLIsxGUpsXynZ/Gv/uQuqipTzmsszpSJYxjbHkVVw3ZDohiqxRyqIjHdKFLKq4SxuB/fuiGGJwcH0ZwuMzdV4o/f3SaKEprVPP/eV5c5M1dlYnl4QUTOUGlVRYLApZV7n8ejui/lDfW+343jmI39Cbe2hmiqzEyzmDXG4N4a8KDZshfEx75+/oqpUxzF+v6I7sgjjhMsJ2SzPWE5dZI4M1dha3/Mjz7cQ5YlXrs4dWTglTdUojhBVWQ8IuIEPD+8b8AQhvERsvWXLk0z0xBOa/WyQa2co1zQmaSpU4OJh+2KQaZpB+wP7KzJGUUxux2RhIMk/n0lbfqP0+9VCjLT9QKqKmcN+zAScan9icdg7LHTNZEk4S5H30YiQVVFzXGSoLBSMJifKuL5Ea/LEoOJcMUr5jXWd8fkDZWzCzUGscutzSFJOkidTZ0u8oZw50ESw4ogTAjDmBubA0amRyGnMpx4vH+ry2yryPWNgXAkl4Wjz0nY3J9kZLbu0KFZzWXDpIO0kDCKMW2fStqc7Q0dbDfk/FKdzsAmSUS0+3FCieuHOJ6IrtZU5YS9//k/DJ7i8SBJwgFnulHgez9ew/UiJCSxzwGFnEqcxNhOmJqZSUhJIu4zxPUTxmIfkWWJselTzimUijmiJGG7beL5EZYXcm5xOVtr3rre5sPbPbwgYmyFvH2jw698/cwDh3sHWJ2rcH19AKTrTOnpNWI+utvjrettSEQa1jdfmX9qj3WKUzyLsNI9W1VlKiWDWslA11Uun2mw27FoVAwSEoJudF8teYAoASlO0BSIkCCRQJJIEhiOA1RZzoYqBzg4q67vjvn++zuCmKQK0r+cNr6DE86zh9Go5Li0Us+SL59VIvBB+qDrhdTKxjPjVHcARZGfemJR3lB5cbXBcOKRN9TnssH+04xmNY+qyOJeKhlH7qW8odKo5AjDmJyhsDpfo1nLoSoy/ZSwATCc+KzMlYmiRMSZGwrv3rxHZGpUjIwYeWauQjGvEUaiLxmECabjk9MV2n3Rr0wSCKyAMzMVVKWIpslHyDy6prC2JxJ8NFVmp2Oy2xOGJet7Y/7jX76M44U4bsi//dN1LDdAkuB/+N5NXvyrqVtdEPLurQ79kYsskZIjYuJEJJAFQYwfxiiKTL2sU6/kCYIYQy+x1zPRFAVZhnrlXl1j6AphnKDrIklQe8BAMo4T3ry2T28o+rAT0+eXv76SpitKaNo9ooamyVltZafOmgc43PfTVJkrZ5v0hiLt6DhxoVLUP1ZEe9LfTBLRZ9Aec9na6VoZCXhs+XQGdvYapDSV9RSneFYhyxL/+7/4Gn/j//57vHery3d/uM6vfP3M5/20TnGKzwRHZkVJOp97BHJNs5rnZ19deIrP7MngQXV5f+xmbvGeH7HVNo8QqO7ujIQAVYLZRpEoTvD8mJHlIUsSm3sTXr88LdIutkdMbB8vjEQNFSU4XkQhp1HMKSSJxNJMmWrJQFNlqiUDxwsoF3W22yYzjSKeH7LbM1nbHmF7ESQJcRKTzylM1Yu8fLbFdLPI7a0RyzNlemOHOE44O1/lT9/fQU8TFBVFYrtjEkUx11JilqJIXF5pHJlZhmmqaquWhwS22iZre2MsL2RxuoTrRSRJQqmgUS1qVD6mR7O1P2Ht/8/ef8ZYlqb5ndjveHO9CW8y0mf5qu5qM9M907PNmeGSu8RyuBqRC3FBQBAwknZEakGC/CSAH6QPS1ILggIXWEgUKYAyWImilhySQw57ODPdM9W+bGZV+sjwcb053urDe+JmRLrKqq7urqyKP9DVlVk3blxzzvs+7/P8zf5k9ln+/g93itoqo14x+PWvbmCbKn/6K2e4szumZGlcWhez4Tu7Y/7lt28TRCnNmskrF+ZoVs0T5P7hNKA39hmMg+Jn61ifsvPVKT4cD86uHzXLzvL76eNnl6s0HZOXL7RndaSmKjx/timMKXXlofS4WtngypkmjhdRtu/XwQ8SjIL48Q6+WXZ/5m5owtxKkmXevdnD0BX+zBdWuLDWYOyEXL83JEpSkODsyqMND5faJXRNJoxSGlWTf/vdTcqWjm1qBFGK58cgZfhBjBfGpKWcME754bVDemOfG1sjkiTDtlQWmyXKtoYfxGLOYWqMpwFvXu+yNl8hiFNMTSHLxflsMAl473YPWZawdJX1xTJukGAZKpah8P7mmLt74t5dmS/zysW52Rz5uNBNkuDCan12vjeL8+KjcFT3T9wIvZg3K0VCTW/k896tPn4UM9ew6Y99nj/bZHmu/KHi2eOpy7td58R/OyLsnuKjI8nu34dZls/m+XGSkhU3wmASctB3URWZw5HH+eUaUy9iOA0JYyHSN3TRAwyjhM39Eaqi4IcxkiSEkHmesdQu44fZzLRVVWSaVYsL6w02FqsEUcJ+36Vu6/zr726yMlfGDWLyXNyLzZqF44Xc2ZvQGfqkWYYbxEx8IfJ49WKbKE5RVfFagjChWTPxwgRVlVmdK/PShTkaFZNmzeK5jdbsvU+96cnP5WPyaO7sjvnWD7YYTILZnvaote5JUGSJ58826Y5Ecs6HJaSZs95bgCxJlG1d1HM/RXKomGHGmMeMg38eaNWsnyhF9BQfD5IkcflMg7t7ExRZrO9CKC323O3DKZYhOACGprI8Z9MbeURJRrtmsb0/ZuBE5DnUyxrPnW1jFGKyZs2mM/SxDJUoybi9OzmRwpAmOXExb5CkjJETslIIL8ZuxDdfbzJ2QjRVYXN/zFs3u4RxhqoIk1RZlkgzCV1VyJH40QcHJEnOlY2G4PsU4ozFVonXLs3P6g1DU/idP7qNFyZYhsK55Rr9sTCqsQyFklW+n4wriec+2tWSJP/Y/fEkFQJSqynus6t3ehwUfdCxE/IHP9rlP/vGhRM/IxKVMiq2znZnymHfAwnWFyon+nIHfXf2mo/Sso4L2j9JPuFu1xHmwgjzwY9jbP3zhgRcOsZt/ahr+yk+PsqWMFE+Ov8tNB7Nwfk0I0ke5udNXB/TfLZFyPdXumcH79zozgRrnYHPzZ3hiZrw84RPvIJzHIfJZDL7c7fbZW9v78RjgiDgn//zf067/fOPWPppo1WzRDxXlKIoJ4djkiQx/whC4YPilydoYUREp3e0kSf8ybsH/MKLi8w3bd673aNeNtjpTBlPQ5oVU0QbdhwmXsjYidAUmfkirjeMHt7U5hoWvZFPydLQdRmJnHbdYmOpyq2dMVuHDnERfRwWDUYkyMipWRpx8ZztusVyu8TL59v0xj5hnJB2BRGaXAxTdU0my3P2uu6J97e+WEUGHD/ig80hhi7THwcsNEskacYL51sMJ/dVckef13AiiKHNqvlERfzReekofsw2NMqWwULLRpYkPrg34PUHYuGehDBOGTkhmiYTF0P0R0WbPXhtLJwOTj/z2Os6IoYUUXgPxsHsoL8yV2brQBCYj+6DhabNu7f6PH+2OTtwL7fLTNyQKM4IU9EQXKzZLLVK/ODaQTHYz/jDH+2w1C5TLWl4gcQLZ5tUbJ2RE9GsmvRGvmgWSBKmobLULgu1fZ7j+KLZaBsaYyekM/SQJGlGXEjSnEbNnLntH2/ea6rCUqtEf+JTMoUafGMZdg4m3D2YoEgSji8ahaUiAUjXZRqKSa2kE8UpaSbIH0utEvWqwW7HYatIFOkPA3RNxjKFy2ezbnP1Tl8MOMIEx4/ZPBhzYbXxVKQIP0wK4rf2VI8/wtu3etzcGgESqiJRLxvMNSxx6EI0gadehB8m1MsPE8QWGjbtulhfkeCFZyjK9xSPxt3dKUjCuSKXmTnaLjRt8hy+9YOdwslJDBy//uoKy+0SrZrFynyFJBWubW6QoCoSaZ4/5LD03Lkm33lrjzTLObtcZa5+v6lgmxovnm/h+jHNmslwEuL6YhA6S/15oJ6Y1Re5ECs8d7bNd97eYziNkIFzqzUubzR5+2aH7tDH0FQun2mI6M4opVLSiZMcRcloVEz8MCaIU6q6iiRDZ+hhagpeKFxfbVNjsWUzckJ8JWbqqXx5fYm7u2P2+x62KVJ3JEk4SuS5OHC/c7PLYdPGtjQuFoNbTZGplHQcP2brYEqS50g5KIVAOAdeOt8mCFOG04D5Y+5gD+LBMut43bXQtLm80aA/CnB8UTcBIjbeUJAQvzMnf2ioMfUirt8bkmU5qirz/NnmbFiSZXnRGPrZuF8naUZ/HKAqEs2qeepe+imAIku0ajbVgiTghwmqkuOHOWGUIitS4fAoatWcwnlGlpDIMU2VME5RZZnBNMKLcuYbFn4oHFxk4N3bXV4qnDenbkycCrGYbAiHmBfPtz7UzflLzy+y1CoRJRmrC5WfqvPBe7f6sxvyzu6YF861ThNkTvG5wpeuLHLtzoCxE2IaCl95cWmWoLW2KAbjd/YnREmGLIMqSUSPEgNKEoapoSDhRwmKJIYhfpRw7W6f1y7P06yZDAo3u5W58mygqSoymioThClTN6ZWNlBV+amasM9K6tPjSA0/K4yd8LFnhAfheBFOIYw5SgZ4GsRJxmAi9v1HDU6P3D9P8enE4+6l5zaaHA480jSnYutcXK/PBnlHRjBH0DWFzfjFwAABAABJREFURlNc6+26Rbtu4QYxi60SVzcHDMYiGfeVi3PMF/e340X88z+4RWfkUzI1TF240wGUbI3zq3Xh2GnrVErazJilZGus6WWCKCFJEv7knQmyLCEhcfXugO9fPSiSdUOmXjQjgB0NVkEY1BwNKTPgcOAVQnfQFYmRGwoBqwTfeG2V+VaJJEkxdYXNfZ3BRKSTLbfvD1kMXaFZ0RlOI2xLo/SYaz7J8pmAA6A39mditlrJ4LWL89zYHoIEX3puYfY429SoV4QgBomHHEENTfmJB6CiTySIK82a+fGIGKfcqVM841hql/gv/8wV/tG/uMr/9V9e5YtXFk4dXU/xucDKXJnNgwnkQqT4WazdHlWXP2kW6ofJrN9KLpKuzy5Xub0zAkTylW2qhFHKfMPmz3x1g9t7guwchClX7/aBnEpJ55ULc0RpzuHA5exKjWpJ4+b2CDmWOei59EYBSMJ4ar/vIsli5iLLULJ0VubKfOn5BZp1G1WRcP2Ie/sTNvcn2JbG+5tDmlWDva6Looj5ydmlGv1JMKt50jRnr+fMTPXyXBjUHc1ngijBNBQsQyNOMpbnyqzOlbm1M8I2VN69PcA2hfnUo+afD36Uu12HuWL9HE1D7u6MubzRoFY2eO3y/InHvnOrO/suBkWCwIPfzW7HoV2zxDwry1mZq5z2G59BLLVKwtgty7FN9ZFmL4ossdiyOeh7KLI8I/iDIJUPJiGaKrM8J84EB30Xy1BPnGkeJWJ+/myL70x2C6GyjKk9OsU8y3JGToiiSCRJhiRJ6LrCza2h+Ls044339rmwJq7nX3xlkXdv91mbr7Cx9Hgjt+Nn5VbNwvFi1hYqdAYeEy/C0DQ8PyWME5I0o1kzmRb35tEMw9I1FEni5Qst3rvZZ0AISOx2Xaq2UXxGGbom8wsvLXE48NncHyNJEu26RZykLLXLbCzXyPOcesXkO2/f59SMpiKNXFOFydS9gylbB5OClCsMLi+u15Fl6aFZ0qPwIP9EKVI8Rm6IqYtZR55DrWI8MYXjUWjXLbpDjygWQoD5DyG5n+LxWG6XuL07hhzWFyuz7/aFs02xP3GUuDhi7ATEqRA0ij2hSq2k025YhWgjodN3CYIUVRWpvVkuzq9xnHI48KlXDNIsQ1Vl8jxnbaHMc2ea1CsGFVunXja4tSMM1wbTgGbVJIhSZFni+Y0GbiB6j4osEUbCoV4IFCW2ug6KIjNxIkqWysX1BmGUUrU1JEnC1BU8P35kWv0RRylOxGub/5gE0XdudTF0BVUVBhhjJ+TKxkebyU/cCC8Qr/NJgsUjg05TV6lXDF48375/pq8++WcfxPGZ3oeJIuIk5eqdPlGcIUlwsTDePMXnC5v7k5kYWlVlzizeFzKWLY2rd3p0Rj7twoypWbXwo4S5hsXt4h4H8KOUr76wwE7XxdRVdFXmBwPBf8mynM7Ag/P3f+/FM3X6E580E9f52nyZML6fAG0a6ky0/O6tzoxon2U5UZyK36HlqIrEnZ0RYy8iz8ANY37xpSWyXJisHF3TRzXID64dMHKFqXWUKMRZzq995QxTL2S5XWHkBFzfHJLlORvLVfww4tb2GEWS+KVXlj52f7xsaTNTbSSol3V2O/f/+4M1+F7XmRlSW4aKFwgx3ZFg+zh/9MF6u10XfMIoTplv2p9Y+nma5TMBB8BOV7wO+SlqiU8Tlufu75fV8qfXWOyzCEWRef5si7ETomvKJ5oQ87OCrjzMj/io9e+nEbrx7A0DslxwY+IiafRJfaHPOj5xEcc/+Sf/hH/4D/8hIEQKv/3bv/3Ix+V5zm/91m990r/+UwdNlXnxfBs/TDA05ZFRsnme0xn6BJFQxjcqJrWyL0QWqszq/OOHfkfEqzTL6Y48VEXi1s6Y1YUy1ZJOFAv17G7s4AcxbpgQhCndsU+jYiLJIqarUtLRNJk0yznsu8RpxkJDuF6/dKHN1I2I4pTeKECWhCPEr391g93ulLdu9EhToZatlgyqts7UD1EUhTQThzVDE+4bRyrdOM5E9KKhUq/obCzXWGzabB1OcIOYkqnRnwSoisxymjOYuBz2PQ76LpIkDkFnl2uszpeJk4xWzeSDzQGqKvP6lQXuHoz51ve28MOES+sN/tSX1mcLrhfEdIvouPmGzRevLPDGu3uYusqvf/kMaZZxd28yazh+lPiwKE5nhHIQB8ylVumRg9YnXRtH30OSZsw37Ycio0/xbOLBJpqq3P/zUrtURBC22Dp0GIyDWWOuPwlmQqB23eJFdY7uMGA48VFkmY3lGq9eavPjDzqkWcbIiRi7oRBmyDJlW6c78vnjt/dQZIkvvbBExdZZX6rg+jHDcYgki4ZgyVLY67lM/aiIv52yMld+KMVGU+TZoCXPcyFIilPhgu+E+EFKHIdc2WgwcSIGE5EIcG84pVkxqFVMXrrQEiKUlo2hyYydBEnKcYMYS9c4t1qjZGrsdCbESUaSZqwvVrh3MEHXVBabJmeXqmwfTBk54Swicmt/yrnl+oceNPww4eqd/iwW7fxq7ancIaI4ZVpELR9FQJZMjTOL1dkgxAuSmXP5juzw4rnWiXVAVWV+/Svr9McBhqFSfQYL21OcxGLTJooTkVajylxYq/Pi+Ra2qTF1A3oTMWR0/GjWaH/vdo9f/8oZVueFG4SmyuQE4qAsSRwOvBNiT0tXaVVNwiSlXtbJH1BSm7qKqau0ahZeEJOkGZv7E4JQ3JvHn0uWRRpAGKcosti/LUPlV76wSn8cYugqawtl0dTNxO8+igU9vl+JZAzx/wsNi5cvzrHbmQr3pjAhI+fMQhVJgufOtijbOstzJboDX7jpyjK2pbHSLrE8V8bQxX54JMbwgpg4EYkDcZLx7bd2MQ3xOeiaQn/so2siJva9232GE5+V+Qp/4T86j21qfO2VZYIoxdKVGRH2QazOV7jhD0nSjEbVoFa+fz8qiszLF+bww4QXzjf54bUOcZLy4vkWpq5yY2s4a4rd3R2z2CpRKek0qybdoT9bX5KCTLncLvPKxTZhnGEZ6lMNV35SZFnO+3cH+GHhwNuInjqJ6BQ/PQxGAW/eOCSKE2xdxdBUvCDC933Ic2RJRtNFyk2tpDOZRqQIMYdtCcdF15doVAyyPCcIM2olneEkIMpSDgY+siJz0HdndXOjqjOcRJiGytdeXv5QAccRVn/KrvBHUBWJ6Mh0TwJNfbYahqc4xU+K1YUyf/UvvcZuZ0q7Zs0IilGccjjwClKDjK4rpEWKnyqLdJ7jMDQFQ1XIpZymbZHnOVXb4NxqDUmSGE5DLqzW8dqiVvj2m7vcO5hyOHBJspyLq3VUReaF8y2qJQNTVz4TzctPA3ojnzu7Y+DRZ4TjGDsh17eGUKT7PXe29VSDiDTLuXa3PxPgO358Ymh3imcXS+0y/9kvn2PqJTSqJvqxmnxtvsL1Y/Xsg+SrpUJgsNdzuLk1mtWouq7wiy+J5Kt3b/W4erfPkelnrayzpIn15sqGSNoJ41Q4x5VE4i5AmmQYuoquKYShIhLzjpIrUnlGWIiSBFnK8aIESZLYWL5fX+iaQrWkMaGoB6IERRZGMkGccm65ilS4BdqmysZShSBKqVgaUy8miETq8XFiWJZBlOXkEsWa+Wg3NlWWaNdN7uwKQ6LzqzWUY72ab3xxlRfON1EVmfoDxJKLa3W8IEFRpCf27Y73TObq1okhcRSlfPvtHbwg4fXnFmbfFQiXwXpZ1Hofl7y72C4xckLCSKQfzp2S30/xDOLP/dJ5vvPWHte3hvx3/+xt/nf/86+cEoVP8ZmHIOnos0TvzwuaVZPe2GdSzEaPm6MpsnAOPxKvLrZsXn9ugYkrhBbtqk2zZs5mArWKwWuX5meu9V9/ZYmFZhlVkTgYeMSJIEcCHCoyYZxiaApqIdK8fm/I2AsFQSuDkqWSpDntqs7Yjfjx9Q4VW8cPE370foetzgTXTyiZKqahUbXL/NpXzuAHEe26zVK7JJK8EP1hL0hO9Fj9MGHiRiy1ytTLJnd2R4AggqmKTMnUmG8IIn2cZGwdTERiWiJmJscJYFGckmWi9+j6Maaucn61xsSJZo/RtMef8TRFplrS6U8CsiynXbNO9Et7I3+WiHIklH3U7PsUn37UygYvX2gTJRm2oT52pra+WJ31KI7q0jTNuHZnMEuZb9VNRtNwZmR3Zqk6SxF/FNYWKvy5r5/j7u4YN4jZ67l0Rz4vnm+fuJ5ubA9n166hK1w50+Rw6OF4EVM/LmYb4jUNJwHffkskjPZHAaaucOGYQ/MRjvMyWlWRLKIqEuuLFeoVg3du9tjrOWLmKEPJ0Di3XKNds3A9McdRFWFMmUs5F1YakAvzjDgtzLkkMDSZiRdRtixA4pWLbTpDj97IR5bE+WauYZ8QtdUrBlGSEUUp3aHHt35wj196ZZXtzpTRNOCg7+FHKQsNmyzPuHqnP/vMN5aqjzQPPcLqfAU3GM4SebwgxjY1llslOiOxtiy2S9gfQzxuaAovnW/jR+nH6iMlacZ+T5h8Lrbsp+5bfxbRqlmUbV2kvRRGTmmaY5sLjJ2QJM34//7BbfY6DjkShiaTZRl+kLBakPfLtsa0MBPbWK7Sn4akqUi47I8DxtMAx4+RZYm1VgVFgdu7E8qmxuHAZ+pFfOHyHNfuDtg+nAojCF2hUTHojwOiOCVOMiRyXru8wEYxb9o6nGJoCkstm1vbAxa9Ml9+bp69vseFlSqteol3b/VYni+TJELwc2dvgqYptKomBwOPNM1o1S0G40Akg1cMyraOqshEccpB30WWhXHu01xnqiIjSxJzdYskzXj5YvsjmTr2xz63d0QvT5Ydnj/bfOT5PIpTrt7uzwjqR3tzvWyQZh+tnntwpjf1YjaWHt/bG07DWTprnguDvVMRx2cDYycs+DvaE80M4iQ9YXrcGXgn+sFX7/S5vTMiSXMmTkgQJQynIUmas99zmW/aTNwY8px61WSn65Lnoj5NMzGD94IEVZFZap80Jn5+o03VNgmjhFbNYKldZrsQCFxcq5+Yg8+3Ssw1bPwwQVcVypbK4cjHDxKaFZ3uOBD8ABkmTsxu16NS0pEkYa54/J6P04zuyBfFsgRxnLHQtGe1h22WaVZMkYSlKtRsk5wRiiJTMnWubw25cW9Aq27yiy89fZKhLEusLYj3aOkqL5xpcNDz6E8CSrbG1189+VyHhQAGxBkgTTP0Imb3QY7AYqtU8KwSLFOlWtIZTUKUIkEpyzIU+f7+GIQJh0MPTZFZaJWemnMgFe/jqD8sSxLPYovlwf3ytE/0s0UUpzh+jB5nlEztmRMBaY/o5WvKs/UeHoWy/uzt/2vzZf7DD7dx/Ji5hjVLc/o84hNnhn/ta1/Dtm3yPOfv/t2/y1/+y3+Z5eXlE4/RdZ1Lly7x5S9/+ZP+9Z9KKLL0xGH7Xs+dKR07A48Xz7e5fKZJkmYosvTIzSZJMt680WE48ZEkyPOMiq2xsVwhiBLevdVjqV1ClqBs6/yp19eZuCGDSYjjx7h+PDuk53mOoSvMNyz+ww+3GLsROTmOF7PUKnF+pYZpqLxzs8dwGqBrCpah8oUr8yiyxI2tEb2RR5wIx86V+TKHQ4/BJESRhbvEYquEbWozIoGqKoRxiq7JTJyY7sjj2t0esiQjAV4YI0sSV840KFsatqnieBElSyOIErKMgngqoylCOd+sCWfp/iTgWz/YmsWN7nVdrpypc2apThSnXLs7mBUkYZRybqXG+kKFLMvQdZUoSgiilN44YL4hohsnbsRB3y1ENRXiJOPHHxwSRClXzjRm5LapF52IMfPD5IlOeY+7Nm7vjGak0P444OUL7ceST2fXRJqxfTglTkSB+iy4oH7esLZQIYxT/DChVbMeiuY7ulZqZX0mEgBm8bZHKJkaawsVllolJAlKloZlaFxcq3NnT7i4XFytY+gKcSKiUr/1g21BpggTwiTjN37lAmvzFeIk5V9t3uXqnT79SUAUptiWWpCjA+YaNlrhcPHmjUN2OiIhZHW+zL///haaKrFQHOy6Q483r3fQNZmXLs7RrJi8vzkgjFImhWre0BSCOOFs1WSnMyVNhdK7VjZ47myLL16eR5JFvLgXxPzx23sMJxFBlLLf8yiv63zh0jxrSxUsXeONd/epV8SwRJYlFps2ZVsniJJZE8XxIvZ6IlZ2baFMlos48e5IuMIckS2Gk/BDRRxpmrHdcRhOQixDIYzFoWBjWRyEj37nzjH1epblTNzoobVAlmXmPoJzSJ7n7PVEjGKtbDyxAX6Knz0aNQNVlglIIc+ZOAHfe++Aly+2qZQM5uoW/XGAHyVoxf0ly/Ddd/d57myLF841iZKMa3cHM5sG/YFh2tW7A7yiaXdnd8LlM82HiEQg7vOjVKuypaEpMo2qeaK5Yeoq7YbF1Tt9dFXhhXMtSpaGqirsD1zKlsbrz8/P3HKPrt/hJODSep2Dvstez+W1y/PFYR9eu7xAo2zwH36wLRxnpgETJxJxwZbGaBrgeBE7h+L+SNKMOM2K9aXDdmfKyxfnqJUNNFUWiR9xSqtmYeoqb9/qEhTO1V4Q88qleRRFomIb7HWnTLyIRtlkr+fyL/7oDq8/t8jqfPnEPptlObtdBz8Uwtl23aJsabx2eU6QYR+x1x7t1Xtdh/mGRZ6LVIMkzWZ7teNF3Ngaiuezdb7ywuKJ7284DdjrOjSqBl+8siDik39GCKJk1uwFsdadXX7CD5ziZ4L//v/3NsNpRJrmTKKIb3xhlX/7xmYRHQxRmiHFYjmIkrBIyxLExjzLhXOTmdAdBuRZTrtpEcQpaZYTJzl+mBAn6Yw4KcsSX3pukRtbI1o1g1cuzj30msI4ZedwSpbnLLcfFnD+tPELLy/xxjv7JGnOSxdb2Ob9+2TqRez37tfip+SAU3xWUbE0rpy57waX5zkf3BuwfTDl93+0Je4DRawNeQ6P4iRrqkQUp+SALuecW63y1ReXCaOU3a5DyVKZqwvH1Hdv97i5PSKMUyxDwy3Eky9fnHvIVf4UPzmOpyVkWc74EWeEE48tasI8h9E0eCoRhx/Es74LiNrtVMTx2UCW5fTHIslFkaUTw9vSE+rZ472iMEpn/TCA8TTkj97cIYoz+mPvxJoymgaQS2Tk7HY8vv7qMlkuBn27XQe1EF03KgYVW8MLE1oNiy89t8C1zQGyxAk3zTwTYhLXj1FkmdW5Mr/znTuMpgEX14R4bDgRyZsby1XGTkwQpbQbFrIkzRwrvSChMxAC+f2ey62dEUGYMnEjFtsldrsOUZxRtlWCICGJM0JEevFxvHury+HAo123MItEVEA40D7Qh23XH332liTpqeqlrYPpbGjbHfrkec71ewNqZYOBE3BrS7huf3B3wP/qN1+hbN2vgT5W+sYxGJrCyxfaJIXD8SlO8SxCkSX+N3/xVf63/+0f8INrh/zhj3f4lS+u/bxf1ilO8VPH59HYS5YlrjxmNqprClmWMXFCZFkiqZsc9F0UWeaw77O5N+EXXlo6MReTJIlL643Z8717u8sP3+8QJxlBmLA6XxEzlDglz4XRlqLInFmqst2ZYhgKYZTgxCnNqkkOOEGCF/rsdhzu7k74wuV5uiMPz0/wQ9EvlGSZ4TTk0nqTF8412e95/PE7u/hhyup8mSzL8YKEva5Dd+Tx1ReXsQylmPUKs5zXLs1za2fEwcBjqW3zwtkWSOIz8sOYNMtniQXDSTgTcWRZPpvJrC2I99euWXRHPte8PrIksbpQ5tzKwwYvR3PnKEmJU/FaL683+MIVkUbWGXrc2RkzmASUbU2YDbRlzi3XPldio88adE15KP3iUXiQtOyFyUzA4fgRd/fG2KYQDcuyxHAafOgMq2zrSLKEXJwt4iTD9eMZ+ThNM/Y6Dnf2BIH63EoNTVOo2jphkuH5CYrM7PXvdJ2ZoAFg+9B5pIhj+9DhnVtd4iSjWtL52svLfOWFJbJcnKccN8LxIsjB1lVMQ2HsRPzZr52jVbMYuyHdkTBwOrNY5XDg0h8H5ECWZUiKQhQlfPfqAbIkcXtnhCRJfPWlJb7y4hL/j9/9gLETsDxXxg8TRtNw9p4XWyUO+h63d0cYusK1O322DqZ86flFDF2lXRe/P0kzAkeIv9o18ZkPpgGHQ4/DvkurZvHKxfbss4Xi3Hjp/rnx/bsDojhiY6WKaaqsL1S5sFb72AIKRZEpWx/vzHFja4jjCaHbcBrw0vn255qMaRQGqXCyHjiaB7arJmmWMZ6GqKrCKxfmGHtHxOxcOBoXM7ozi1WurDfYPnTIyahYGm4gZka1ik5v5HPQ80iSlDiRUVWZnc6U27tjeuOAq3f7dIbCCf76plY44ptoqkx/HOL6CRfXalxYq6HICps7I37/x9tESYrjD9ntTHn+XIs4FUKsX//qOm/d6LLTcWhWTQxNYTgJGEyCmWDrzetdFlo2siTRHfnUywY5gtCephm398akac6Xnl/guY0WAFHB3XG8iHMr9dk+99UXF/nO23tEUcbliw0WmicJ6B+G4fQ+Mf5o3v8oEcfUi0hSYUjZG/sMpwG2qX0kwcgRHpzpDSbBE0UcDxrSfhSD2lN8ejH1opnBD4jr73FCPVmWT5DyH+QW7RS9siTLUDKZvZ6LpgiDZz9MeP3KPLf3JqRpxhcvz59wQc8y+MKVBTpDl5KpcX6lxm7XmfFVFttixu8FsTAnNhS2D8Vc8sJqjWt3+/z4gw62pfKrX1rj/GqNe/tT2nWTVy60+Z3v3CVNc8olA9PQOOgLAYltaWzuj9ntuchIvHqpzbmV+n2z5pqFriqMpgH1ikm7ZvLd9/ZPrAFHPbXNgyF//O4uSZrjkvD/+Q83Obtc5ahFGoQZ33z98T0GP0xmfM75psXN7ZGY7RKR5Tn/iz//UpE4pKA84O6va4KvBUJUtrFUY7/vokjSjF90BE2Veel8e5bCde1uH1UV63KW5ky9mGa1MNVJM65tDmbcRC9IuLBWf+x7OHm9SJxfqbG5L/iUG8vVZ3bPPb5fnuJnhyhOeX9zMKu7wzh94j71aYTxCFMDTXv2jZflZ/B2eH9zgBvEREnK2AnZ2h/z0oWHeSyfB3ziXcDXXnuN1157DQDf9/nN3/xNFhYWPuSnPt+YevfJ2nkOrh9jGeoT1eNv3ezMXN4Bvv7yCkNHOFzcPRhTsjXG05CJF7G+WEXTZCxL4+pbu/THAVMv4uxSFVkGVVYYTkPmvIj3NwdEcUYYpxz0HZZaZe7sjLm8UWen64iCzU+4tTvkSy8soqkKpq4QJzlhFFIyNbIkI4gSNEUmToRzwspchWpJZ5gF3N2d4AexcG+p6CRpzu6hw9bhlGbVxDY1zixVRROmaABZhsrFtQbDSYiqSNimyvpCZSZW2Ok4M9fuqRed+EzTPKc/CTmzJIqXo+LVDWLeutnF8YV6/ajJqOsqv/rlM7Ofj+KUG1vD2c9Fccqd3THX74m/u3cw5i/+6mXKti6GyhKzYrr0IU5524fT2SHu7FJ1JtQ4alSAaFqFcYr9ISKOO7vjGZl04ka8fKH9VI23j4o4ybi7NyaIEto1axZZd4oPh64pPH+29aGPW2yWiOIMx4uolQ3mHoid1VSZds3i3ds9VFUMItRiuHD0fSgyjN2I3shne+iJxBddxG8DnF2ucdB3+ZN39rh6p8+tnRFxkiJLMk4Qc361jqEppGnO1qFw5r29MxFDCz/i7u6EVk00i25ujXj+XJM33tsXIpFIRLB+7dXlQkUvxFdeEIu41LUGi60SN7eHjKY++30f29RQFJmLqzXSHA77Hlme0x8HhHGKpkhEReywoasc9n10VYjSzi7XuLBaxzI0WjUTRZFm136SZnxwb3hCuJVmGV4gUon2ey4bKzUUSawrH4bN/Qn9cUCtLJyoXjjb4uJ6/aEIVNtUZ/cjgPUUz/1hOOh7swPiaBqiq/JDQqBT/PywdTBF0xQamsLEDdk8cGjVbG5uD/nyC4u8eK5NdyTcEMZuiB/GjKZiwNYb+YRRynNnm5xfqXHQF27bDx52XD/m1s6ItBA+5HlOb+Tx/WuHxEnGKxfbbCzVuH5vSBinDKYBd3fGNGsGJUvnqy8u0qiY3N2fMHEjOgOPxaJhedD3kCSJG1tDLF0lTXPeutHlKy8sntjXLFNFlmUsQ8XUFWolg6+9vISmKWwdTHnndo/+RNzTcZLNhKPDSTB7GttQMXSVRsVkfbFSNFXEvve9qweossTKQoXLZxromsJB36U3Es5YcSKcNSq2zoXVGqois3UwwfFjDE1BUcRef2d3zLmVOm4QnyCr73admaPTaBoWrr86kiSdSEd6FKZehFS4UcRJRhSnWKaKHyR0hh4HA0+8jkIY++qleeIkYzgNuLc/wTY18XkECX/2F89+Itfd00DXFBRFmh2kbevzRwL4tMENEobTIwc5lTwUKXFBnBIlGXlxsxz1SdMMUoQTe0mVqJR0dFWlPw4J45Q8z1GQaNVMeuOAkikRJin39qdE8Ta6JvbiqRuRZBn9sc//+O3b/PJrqydcLW9uDWepVlM35pVLcz+TtJgjLLXL/IVvXnzo7+MkndXdIJpBx0nupzjFZwVBlHDtTn82xHz54hymrtAb+vzBj7e5dyBI2KoMmqaSZynxI55n6glDBFWRSNOMDzaHNComJUsnSTPeu9PHDRJevThXpHVphHGKLMFzGw3+/DfOnxBRneKTQ8nSTpwRnnT+KJkaXfwTf34aGLpyYmj3cd37T/Hpw+Pq2CM8rp7d3JvMBERhnOIEMYc9F9tUSZIEVT0SR8Q0KoYwI9FVDgcOhq6hIHEwcNk8nCAjEicGYx/Hi8mBhabNL722giSJ6y6MUi6ti3167Ia8c7OL4wki1upCZTZI3twfc2N7VKTHDKiXdaolA0WRiOOcLz+/WLwvUc9uH06xTfWEwGEwDrANdSYW+eG1w9lAe3xP9ET9IMHUlRNJHDe2hrx9szf7XMduRLN4joO+R5rlsxro3v6Et252UWWJ159bYOrHxWdlsnYsrexEr6xunRDCHe9RHg5c3rzeQVMVdrsu9/bHlG1B2OpNArYPpjz3FH2jjwJJkk4Tzk7xzOPMYpW/+GuX+b//7gf8d//sHS6daZwKTk9xip8DvCDm7t6ELM9Zm688tctznudsHUwZuyEVW+fMYvWJTp2Pm41qmsL51frsz6NpyJ3dMcNpQJrmvH2zxysX5x4SYB493xvvHDAqHI0HE78wkkpo1Uy+/MKCmKcuVFloWnzn7R1htJVDxRamLL2xz0HfYTiJyXKYeCFv3ezgBQmSBJqiIAGmpjBXt9jtThlMA+7sjhgVfaCpF3N+tYYbCMFqdG+Epip8/ZVlLqzV2eu6KIpEydCIkozluTKHA4833tvn4lqdi2t1bu+MmHgR8/Ujp+H754o4zU6IuvtF3xngwmp95gw+dkK2D6dIksSZxQplWz8xdy6ZOq9dmhdnyNs9GlWD3Y7L4cBl6sVIklibVxfKLLfL9Mc+e11hpHV2ufqxhajDScBO10GRJTaWqqfnmU8xDE0pREUJez0XXRVzjyzPxQzECegOfSqWRrVscGap+sg+o21qs36kJDFL/HP9mLt7I77z9i6yLKGpCkGY8s3X1/HChDMLFVpVE0WWqZbEWtR8YF42E4NkOZt7IvGjXja4XczT0zTj3oEgML50vj07S+z2XNwgJs1zNFWhZKmMpgHdocfGcpU/JZ8Rrvt3++z1XH74focoSRhMQlRZIjZUOkOPIM7IsxxJltjpTPidb/t0hp5YM2ThtA8iWfGXXl3B0BVKlsYXrszNzn5pLs4TaZqhKDLNqsli2xZk3DRj5IRkWc5iq0R/5M8MLg/6HmpBBj2O4+fGc6s17u1PKFkaL1+Ye+jz+1khz/MTvIggTEnS7HOdxvFh+OUvrPDDa4f0LJ+V+TKVkoFpCBfy/b4LTkh/LNKUDvoubpCwNFfiyLK+N/RJ0owshb4XsNQqiT0pyRiMQ+IkFWk1YcLUE7PMOM2YFt/Tbs/F0BTOrtTRNJkoyanYGlVbZ1AVrvmKLOP6MY4XMXLL7PddRtOQr760xBeuLIh9ohiAjN2Ie/uTwlTSYupFtGpCKHJ7d8yZxSp5DjudKVmGMIqT4Efvd7ANwSv64bWDWfrtwcCjWtJo123adZs//40LD32GT1vT2KbKYHz/zw/yAU78vSRc94/EaDe2hh+Lr/PQTO9DOAa1ssHaQoX+WMxmV+dPz0mfBThefH9IiNgLHifiUGTBF9rpTJElkSx10HfpDn10TaZR1vCjhCQVCTitWokwzpByQej3woRWVSR6H+3J3bGPLMHFtQYbS9UZZ2HncMrvff8eUy+iXjGplXRhBqmr3Nwe8vs/2mbqhOTA3b0JYikX+85oEvLi+TZLLXGN3t6dnHBcP7dc5bvvHRDEKV96boF3bvVm6TZ/9NYuac7sM/GCmLm6NUucfftWd5ZIc3wNAHDchPSYqY0bxPTHAW4Qo2kK9/bHwONFHNfvDWbPfThwT+xPRz2/apFal6SiP3hkJnm+2GuTNGd5rkSjYj6UZvIgjkxYbFOb7Y+SJISiV+/0yfKcVtU8YS498SJ2OlMGkwDLUDm7XHsi37RRNU95Rqf42PDD5IRw+njv+1nBdOo89HfHza+eVfSG3oc/6FOGG/eGHPY90lykRW3uT05FHD8N/PZv//ZP8+k/M6iW9JmyXP6Q1A4QqsrjcWgAfpxyab3BbsdBkmDiRLx/d0CWZ4ymIkWiVjYI45QkSQnClO7Q52DoYWgKeZ7jByI2MUkzBiMxkN3HoTNwCaIECVEAqppMxdK5uTUUBE0vRlNk7IpJnGRMvIgozpCRUFWZNBVJH92Rz+bemByolg3SNMO2NK7fG7JzOMH1BYHEMlTIcy6s1Tgs3PWW50r4QcKPPjgk8FIurtX5+ivLyLJQCBuaMhN8VEs6l9ebuP4hWZZTtjXOr1QFwU2R6E98ekOfztDn3HIV14+5uT1kY6nKH/54F8ePOLtc4xdeWuLO7pjdrsPBwGOlXUZTZRw/5s7uePb7+qOA3tinbOvYpsaltQa9kY+hKyeIcQ+iP/ZnTZggTNFVmfXCIbNa0mdDdlV5dBrLgziuyM+yvEg6+eQbHDud6Yx4stNxKFnaaerHE9Af+zMV87nl2kPFcBSnKIp8onkpFw3qxyFOUrojb+Zis9N1aFRNrmw02es6yLLE1I3oDn22DqdkWU6a5QRhgm2qLDYtJm7I1sGUe/sTDgeeiPLOc1RFDEOiJKE/TmhWDZbny/z4epeJG6HIEmEQ43jCZUcqIoG9QrxxFO8dxSm9gUuY5KRpNrsXF1s2awsVWjWDd2/16I4D0bBEuGi+vzlkeb7ETmcqohR1iWiSUasYVG2DkimiEt0gLojcKmEsBBljN6Jkq7y01uLffneTG/eG6JrCcrvM8lwJSRIN5akXsddzGE1DojjBtjVePNtC12R+9MEhIEQuj2pYBsXAwzY1bFNjfanyyEHCylxZ/L4goVE1qHwCrvvH73EAP0p42EPoFD8vlC3hXh0EMVkGerFfTNwIx4/QVZUvXlng0lqdH13vMioO0UfXxtH326pZVGydKEoLYWXKQtNmfbGKF8SkmbifnCAmz+GP3trD88UB/o1395lr2LP96bDvcX1riK7JlC2NhZaNFyT0hh5jJ6IzEK72FVuk2Uzc6IS7xpGjzMW1Ov1RMNvXbu+MeOPd/ZlgU1NlLq03OOi7JGlOtaSTpnnhyqtTtjR6UUKS5SiycPg4u1ybDWX6o4A8z0lSUVMcDD0qJYPN/QmX1hv4oXCdiaKsSOGScP0Is3CVFeItmW+/uQOSRBCljNyQP/zxNtWyQRglZLlILesMfSqWjqGrqIrExA0pmeqHpl2B2JuP6i9DUzB0lcvrDXa7Dvf2x2iKTJRkxfuIkGWJs8s16hOD7189ZK/nIEsSSUEg2+lMZ8kCF9caH8uxbjgJZk5kG0vVR6YJqYrMlTNN9vtikPqk2uQUPxuUTJVW1aRf1HqKIjEs1gTHE0QARS5c9o/dk3kOQZRRznPu7U8YuSGWrgAynaHH2ZUqmioxmgQ4vhAux0lGo2Jw0HPRNZk0E45VbhBTMjVBfCz2u+DYkD9JM+IkRfkUOH9GcXaiceIHyRMefYpTPLvY3Jtw/d6QNMuZeBGKIvHFKwvcO5iwdTgljjIyIMogyxIeEcIBCHeslJw4zZHIiJKMzsBjZV5BVWTiOGO/67KxWMUyVJ4/1+TO7hhFlvjm6+snBByOF3GriFpfbpdmgvFHnWFO8eFYbpdE8uhTnBHmmzZZQWSolvWnHqpoqsL5lRqHQw9LV1k5Hdx+ZvDgeTAIk8c6On7vvX1u7YywTI35hjUTTkzdiCROqZZ1NE1htyd6glkOFVvjV7+0jlOQDf7lt2/jFOkVsiyhKTJJkgmRRZKjFgPFNBNnflUVJK5W3eTtGz0UWUJRxNlZUxUMTaZRMUjSHFWWyPJ8NgCN4pQwSplv2iQpBGrK1Tt9HD/mhbNNzq+JZF1DV/D8mD95d1+ck1oiOTQqknqDKOXa3f6MOJbnOZIkkaQ52wcT/oeOS5pnsz5oMQcmOlYDHSeUBlHCv/vePYbTEEmCrcMJX7wixCX7oUvJ0ihbGoossX14rFd26FAy7/fKqiVd1HhZztSLZiY04vfd/3dVkZj6ET+4diDMbNYbp25ypzjFMfzmNy/y5vUO1+4O+G/+bz/k7/7VX/qp9L5PcYpTPB43t0czQcCtnRGvXZp7qp5aZ+hzd2/Mu7d7+GHC5TMN/tzXzz9RyHEcR/VGxdJmBFJhMKNyY2vI2I3QNQUviNk8mNCqWY+cqWVZLsjCfkSa5BwOhNNvxdbY7Xh85YVFKiWNm9sjQELXZJbbZXRDoV23eOVSm3/xR3fojUJA1DSWoYreZZBgmSqLrZIwnTmcEsUZzarOwcBHV2VkRUbXZKZuxKT4X18OyPKMxZbNcxutmTj1zu6Ync6Una4j+jtpxtbBhKW2TdkyqNkGEzfiykbjhLBUV2VMQ5DdAdQHHEb9UPSLbm6PZr2Wm9sjXrs8z9S9T6LO85yrd/usFcS6g75HxRYzkakXizpOYmbGd3t3PCPV3d4d88K5jy5KTdKMWzujWX/61s6Ilz+n5I1nAbqmcPlMg1vbI+plg1bNxA8Sxk5Erog+5r39CfWKwXxh0LZ6jKh5hDNLVVRFIooz5hrWTAB0c3uI68eoqkwQplRLBrouizTuikm9MIUcOSFeEPNvv7tJydRo10wkSSJKUjw/4h//y6t4QYyiSLx0vk0QprPe4sgJiWJh1rS5P6Fsa+iagh8mLDRL7HZdukOPrThhY7k+SzgdOSG7HYftw6kguDsBIB3x49E1BcePsU2NPJeQZamYEyXs9RwcPybPchRVZrfjcnt7xJ29CV9+foGqrUMOZVvD9WOkPKddt5lv2rx5/RBd13jxfItrd/qMnLBIEspZaNrs9R2yPEcu1r+xEz70eR+HoSlcWr8/ZRxOhRFnlouEkQcNBn9akCSJiq3PCICW+WSj01OItMj/+JhR2NGsH4SJmhuI2eRw4rN1AEjw/NkWC00hAOoMvPucoKmHacjYlsJhP0CWQJZyeqOAOE6ZuOGM1K2pYr5g6OIcfjhwef9un43FKnvdKVdvD8iyjDAShq+SBJapMRyH+H5fpGVcP+SFcy2+9PwiaSr4LFNXXKtTN0JVZGplXTjP5zmqLM72IIEErl+YYxXngEnxs+OCazUuZrLfv3bIr3xh9bFiwAdrmlcvzT3yultqlSC/38t7HCfG0FXOLlXpDUVKQKtmkmU50cfg63ycmd5Su/ShxPBTPFuo2NoJk8UjweLjUC3pMzNZx4/ZOhBpGH4IYSJI+xM3pGLprC1UOBz6xHFGo6IzmIikuzyH7c6UNE25tTNGVWXqD1zz79zq0hn6xXO79Mc+c4VYIooTdjtT0qLhNpyGlCxtxkOMkpRG1cQNhDFjlmV0hh5JmmEaKguhxddfXQFE3zPLcqIkLdYl6Aw8Rk6Ipso0ygZzDRs/FAbZvdF9MyRy0ZvbOhR1dKuis9gqMRgHSDK0qwbDaUSWQ5IKcctRva2rMl6QCMPMKGF5vjzrX4LYs/pjn/4kQJNlXrzQ5sa9Ab1JQM3WSbKcb7+5gxcmtGsmf/4bF7j8gCldnKSFqPLJe936QkVws6KUdt3i3v5kxgHZCRxURfQ8QVwqe9373ENNdZ65ZIRTPDuwi1otCBNkWfpYqVM/bzjRw4KNIBLcwWcZYz/98Ad9yuBFMX4k1vxEESLgzyt+/qycTwjf/OY30XUdwxBFxG/91m/xZ//sn6Xf7/M3/+bfZHt7G13X+dt/+2/z+uuv/0xfW5pmuIXz21GR7vgxEsKJcbldRlMUgkioMZ/kUDKahtzaGeGHCb2xR8UysEyVtfkytbKBZai8f29AkiaMpgGGppLnOYcDDwkoWzpZCiMnwgkivCBBV2XiNOfu/pgLq3VsQyNHuFx4gVh0X77Qoj8RA1tdlbm43iAuiq9W3SKMU8qmRprlLLRsOkMPQ1cxdIVXLs4RxqIp4ocJuqZwZqnCze0Ru4dT/CDGMhRkJUORBWktjFPe3xyy2C5RLxuYusob7+5TLRlUSwZRnLG5P+XMkhBhnF2pFgRzmYWmzbnlKs2aieNFvHppjpJlcPVOn/7YpzcUyRdl677iNk4yfvh+Z9YguH6vTxClaIosht059EYepiHcyYM4JQgTTEPFNNQTRXO9YjyVA1GcZKSZcMXR1fsxaiAiYcu2xrhwBXr3Vo9qWefSWuOxje1WzZwVZqahYH9Mp5sPQxSfXPSPv+5TnESa5dzZHc+azrd3x3yxYiBJEnmeiwGDIwhal9cblB9B4hGk7Zyypc0GD0manyBax8XBwTJUFpo2sixxa2dEGKdkWY4sy3zhUpvDoQ+SRJZL/Lvv3mOxXSLNBElTVWTiJMU0FEqmDtlR03xMo2pi6uIglWWiiRLFGVM3xDI1dFUmisTPekGCpsliPTJ1vElAlouDw9G90qyZrC5UmG9adIYOqiJc/SWpaGZOI0bTQAxQTIPaulgD6lWDIExZape4szcmSVL2egH7XRdFkXnxfBtTU7l6Z8DtnTFRkWKzdTihWtap2DqtmsnBwMUPBGFd12TmqiZBlDLYm8w+1zu7YxrFd3UcrZo5Kxp0TX4s8UqSpE+cKN2smvTGPhSuCA8emk/x80WWF+5TkkSciHUyy3JqZeGYD2K9bDdszq3UyJeqMyEcMEu2ubUzYjAO2O061CtCuHTQ92gUrlKqIpNJ4n6P05wwuk/mStOcJMmoVwxG05DhxC/2OQk3SOgMPBRJ5o13DwjjhChOKVk6uqaw0LKZa1gYmhBZ6LrCi+dFs6dRMWcDRIC9nosXxCRpTprm3DuY0Kqa3DuYCgKVJHF+tUarZjKYBmQp+GFK2dIwdRWJnEpJJ4oS3rrZJY4TukVzJc9zFguBWpxkDCfCsQtgqWUzdiMqJZ3V+XIx+FQ4u1zj7HKNpXaJ65t93r83pGSKPXTqCeLX27d6KLJMlmcMxyGLLbsgjqUc9D3Or9ZOvMdH4fxKnUPLI80ymlWxFpi6+P2eH3N7d4IfJli6Mou1BnFdJGlGnot0MF0VQ+WjPVvUNJOPPNzM85zbu+PZwPXO7ph6xXwkobZkaVw45lR4ip8Pjp8Jfus/f4nf+fZdeiMPP0oYTkImbjjbh9LHlFeSBI4bUylpKJIQXuiacGlbnivTGQaYhkYUC2GUrirCJbtlMXZjXD8kzXJsQ2PiRvTG/owY3KqZs/utbGufGtKgZaiz1Bu4v16e4idDb+SRpMKp7xSfDkz9CK9wf5KRCOOUztBjvmkLUdexxyaZGFx8GPLiH1me4xXDEVVVqNgaSZZxZaNJZ+hxbrnGQtN+iIB1d38yG1LsdBxqZYPtzpSJI4aql898PBHi5xWSJH2kJMvFVgk+IvfpoO/OhnS1BeOU+PAZQqtm0hv6REmKbWkzh7cHsd9zCuIheH7MTpSyOl8myTKyLCNJciE8TnLiJCWKU9Isx9RknjvbnPUlRtOQ713bJ01zFpoWOx2HIEwxVBnjWPqFbarHehUZB30PXRUir92ue+LM7PkR3XGApigsNW2uu2PyPEfXZFbmS2iKiixLBGFMtaTTqBjcKdItbFMjilPeutHF8SLSDIbjgEbFoDsKKFs6kpzPhpdOFHNxpUouK+iqzL2D6Yw0djB18QLhGKapMq9dnputdRvLtVk97QUJg2kgEtJyRE/lGO7sjsgyUZ89OPZJjhVztbLBza0RQZxydqnKQc8lLH7fN7+4zsgNCMOU9aUKaQaKJH73bsfh3ErtI10npzjFZxmKIvM3/8vX+av/xz/gzt6Y/8v/+B7/6//JKz/vl3WKU3wqkWY5bpEW+0me7Y/PgrIsF4YtT/H0cZJye2c0I4FuHzps7osU3Q+DF8R8sDnE9YXBVLNhockyjYrJbs9hvmnjR4LcNfUitvenGJrKlTPNmYvtEV652ObHN3qUrZAgTDAURaSfFgQx21LZKYjZaZajayrnV2rs9R2RpByn/E9/9TL/6o9v0xsFBKEgyaZZhlzU3TsdYbh1VGPNKSZlSyVOoGprtOsWr16c4w/e3EH2RM2RpjnjacTUizA0hSBKCcJYCC5S8dq2DyaEUcpB3yXLhOhbUST64+DE5yhJEs9tNDksCLplS+fGVpFuKokZQ5bnJ8wy4jQjz3POLFXZ7TmQg6IKAe4RTF1BlsXcR1Ek5hvCdKhs62JecqwYSj7mzDBJsllfLEkyDpyAM4vVUxO5TzEqts5LF9pIkuhxl22d+aYwkuqPhXnNUV0cJ2IW6YfpfeJXlBDFGSvzlYd62nEikhjaNYvhVBjSHA48/l//7gN+6dUVfv3L67x9s4ehCyLnXt9DVSTOLNZm5oi3d0d0hl4xJ5XYOpxyfqXO2mIFTRUi8HpVnl1jhwOP3kiQWr1QCD9aNROzMITK8ow4zLENFU2TC4MslamrkKQpSCBLEqNpWMwEci6uNTAMhbSYV+qqTJ6LezXPYDDxMXUFScq5eqfPf/zVM1TLOr/+pTXevNFDUSW+9uoy33lrj4OBiywJkmyS5ORZLkQzSPz4egddkemNfBoVE02T2Vh8mLx59JmXCjH6cdzZHc9clTf3xzSrxlMJ9R6HKE4Jovvf95Nwab3O4cAjB+Yb9lOZW57iPhpVk87QI88FT+XsSpW7u2MmbkSS5ViGymAccDjwaNdMGjWTJE3ZOnDQVYXxNCIjZ65hkaYpg0lAvWKQZdlMtJdlYqlXZNGvN3QVTZWJ44SDnsN218ULY8ZOSJIJA4iSqbG+WKE78om9FDeIURWF7tDj5vaQX//KBrvdKe/fHeAXZpGWofLShRZ+mKAqCnGcioQZCc4sVtAWKrx1o4dtqSiKxFzDZuJGrC2U2O9NcbwIXRXJ5Pf2pzx39tGJ3g/WNGmW86jwl6fp5Y2dcCaOrJWN2Rok5hofr296OtM7RdnWeW6jyagQQnyUtKT4AT6XF0aUTRVFlrB0YVIohI0JzZrJ7Z0xh0MPciGku7c3xguFmev3rh7wq18+M3suVVVm4hJJklho2hyF31ZKBoosMXFEzW+bClGUkuWQpTlZmos5Xw5hlFKyVCxDLbiGKkeJHSB4OHGacnd3gixJvHyxNUsnieMMTZMpWzp5biBJgrP4QZFwZegKXpSgFsYp3UnI//IvvMTv/2Cbsq1x4Uyd7/xol944KNJrqrxTJHlYpipMnXdEz7Iz9NlYrs5EXyVLK4ThQnDVG3kcDn2iKEUtDKXdozSTUcDt3RHNYwaM24fC4BHpvjmj68fomoz5gKmeLEsnxNo3t09+rxfXG4ym4ezMczQTAGY936fdh59VBGFCnGaUTO2pDQJO8ZNDVWQMXWG/L5K56o+ZU3yacdzM7ghZHgM/GxHzTwu18rM3r1UVGUNVSPMcVZFR5U8HP+WjIkkzvAe0AR8VnxkRB8A/+Af/gEuXLp34u7/39/4er776Kv/oH/0j3nnnHf7aX/tr/N7v/R6q+rN563GScu3OgDBOkWWJy2dESsOMkNgusbZQeWo3g+2OcNWvlnUsQ8MyFc4sVU8QJxZbJToDl3rFJI5TvCCm3bC4crbJXs8lTBLqFYONpSpJ2iNOhLJ0vmFTK+mFu19exBiKxt7YTTizUCaIc5bbNmmaY5sqXpCwsVhFL5y8F1o26/MVVufLDKciGnl5rswP3j9g6ka4QYKEcAVuVk0UScSZxWlOoyJUv9WSeG/7fZc7u2M2lqpM3Yg7+yMUWZqRYcNYOOz5RVTxhbX6MQKmwi8VKl0QRAYvEE7cWS5U/bWKMesrLrZKs+QLL4i5szemNwqQFZnXLs2xtlBGliTcMKFR0XhJbXNja8BSs8yF9doJMnWcpIymEZoqk6QZiiw90jWzYmvsdR38MEVRJM6u3h/MyrJEECVsHU5FM0hVmDgRIyd8qEDP83wWi3ZhrU6SFp/tIwqxNMsZToLHvqanwUKzNHNrNw3lqSOzP5fIT4ot8mN/GDnhzBUiTXN2ug5XHlBhH/Rdrt0dECcptZLB5TONmaDiiKQNsNgWhOfbO6NZYzRNRVOyZGqEccrGco1G1aI3FnG9aZZxd1805LIsFwkXmsFSq0ScZARRiqGKhJurdwYstmwsQ2E4jVieK1O1NQaTkKkX4QcxYyfi3FKNNC+cNCOx9lQsjSTLCSKhKM9ySJKUrCBLLLUrhNEEQ1do10wMTWbzYEJn6CPLMhVLY2O5iqbKyLLMxmJtFg9cKxtUc53O0KdZDEaAGYE+STLSLGexqbM6X2G+YdGomnRHPnmWz1T9IM0OW0fIiu/uwT7hYqs0O0w2Kp8sKeoo9r1ReXRjtF4xeOFsCzeIqdr6x44kP8VPB6ausr5Qxo9SNEViea7C115exg+SWULNXF04SW0sVemPfX55eZnBNMLQZJo1k7t7Ew77Hpoqk2U5vZFPaVHDDUJ+cPWAIE5mB3hZktjpjJlvWux3hcPO8lxJ3BdFmlO3iOZOivtN12Q2D8ZEaYqEGNCNpoL4ZBSE0cE0oDP0UVXphLPEEYbTAFNXcf2YMM5IkpSKrfHmzR6DsUe9YpJL0KyZXD7TpDfy6I58TK3B0AmZeh6KLNMdeLx5o0OaiWjWxabFXLOEnOdIhaPOkdDiCM2ahWVqrMyVqZX1h2KLv/z8Iq9emue//2dvM5yGJFmOrgiSmuMJIpjvp0zciFpFxwtiQWjVVT7YHHJhtU69oj8U0x3FKWMnwjIUTF0hiHI+2BySpBmyLHFlo4mhqyy3S/iR+I6Ou/vIssQrl+bZ3B2hazIX15sPxTEe/dkLIrYPXMol7amEYMf3lTw/+sdpk+LTiDjJuHa3TxiJM4GlK8iycF9WFSG0CsLsBAHwmMkOALoq0axZpGnGfNMmilOmbkIcp0gYbB1MmW+YqLKI2tY1GVkSNd/GUo12zeStG126I49G1Zi5nB1hY0kMxrMsp1E1n3pYFoQJEy+ibGmPdbb6SSDLEs9vNBlMQpJUuP97QfxT+V2fF7x5vcPVO31A7B3ffH395/yKTjH1IsZOiB8mHA58lto2rarJcBrQHwWoqoQUzkwdZ+KM45ARQo/jf63IoOsycZoJEbMTsdAqYRoqrZqFpp50cwvjlEmx55Vt/aH9ajgNZimiSZqx23VOuDae4ueLLMvZOrw/rNnuTAW563SA8ZmApio4QcTUFfXr8TSH4zgSMRxBkkTdnyQiDTfJRIKursqossydvQlplqGpEscPxedXqxwMXNI0x9QUOoMhbpBgGQqrC+WZaPncco0wTnEm4pzwzs0Om/tTJEkkVEZxxnDiC2feUJC2JCmmUtI5s1jB8WNW58tcXq+z0xGDHzeIZ2eRLIOtw+nMoa479mZD2P40RFPvGyhM3ZC1hTJZlmOZCraugSShKCfvASmXeH6jNUszOb9an9VEx3tuZUujXfRRADYWa8iy6B9keU4Si8FCnosBua4rs17ZcbLhbtehUtI5Grv+xq9cYLfn0KrZXF5vMJwGJElOmmUnBq6fhQj3U5zik0arZvHX/2df5G//n9/g37yxyZWNxmkte4pTPIAkzWZkSEmCi2uNT2yGs9iyZ6Ykzar51AKRds0iSXPCKEVTZUqm+lDN8jjsdh32+y77PYfBJKBdMynbYpbYGfq8dKGNqavsdR0sQ2Hqx9zeGdGqmjPSpevHuEHMF64ssDRX5o1397hxb8DhMMA2BWHqF15cYqlVYvtgKkhlpobjR3xwr4+mKIRWiuQJcup//V+8zlvXO/zr795l4kREoxTIURQFVRVO5XmeIWcyrhejKQorczbrixVef36RKEp59eI8m/vjwk1YmLxN3YjrPZcsyxlNA1o1U5C0vYjNvUkhflWYehHNmoEiq+wVjz9OWpKQCldUmcWmygvnWkwf6Nu06xa9kU+aZtimysSNOLdSwzZVhtOAkqnTH/sEUYIiy6wuVFhs2bPk5vKxmbRtqlTL+uysuNCyn+q7fRCmoVKvGPSGPj/64FDUfkOfX3x5mbPLp8LWTytURaR0bx1MKVkaiy2bt653i/loTr1sFIIijbdv9sgyMatYmS/zweaAMEpp1UxeuXg/2Wc4CTB0mcO+z5nlKmtpxh++uUuaZtzaHjN1I/6r33yVsqUxchTGbsxe18HUVeIko2zptBvWzMjR1IWgIi1+96X1BmcWq6wvVuiPg6Kmz9ncm2AaCi+ca7Lbc4liYUw1diMxM8zEvdMd+ZBBXhhoVcs6UpE0GCQJkRshKxq5JGGbChtLNQ77HjvdKZWSDpJEs2ISJWJ2Uy+bWMXcJ0fM4XcOHb743AIAW/tT9vvObMa6uT/hF19a5rAvXqMsiXVOsjRevThHnue8fHGOucb9e9HxIvb7Lt2RjyrLWKbK8xvN2WeePyDuyvOHheofBY4f88HmgCwTPernz7aeSGZSFPkjmV6c4iSqJZ0XzrVw/JiKrRPFKY2ahePHRIm4jh0/xgmEyawiCzM6NxCPJ4fexEdXFVw/IofZDLpWMyDNcMOUqqXRqlv0x+Hs2jvse9yNnEK8mJEXSVbNikHJ0qlXTLwgwQtioihDMoSr/GAccNB3cf2YIBJGsKokMXZCNvemKIrExbUGqiLPZvWaIvPlF5Y4u1JnMPEpmRrbh1PyXJC2v/rSMh/cHdCuW5i6emK++CA+bk3zKOx0nNn9I7gPJUxdpVE1Tntyp/iJULH1JyY5Pw7VsnHfGE2CdtXkO32XqBA/PHe2xWHfIyo4NYtNa5ZYp8jCPC6KhYhj4kRMvIj9jkutovPapTnu7I4YTQPmGyX+0186z87hlLETcnm9yY17g5lwu12zWJ6rsN2ZYhoK55brrC9W8MMEQ1PwQjFTl2UJXVeZb9hsHUxI0oylVgnXiyhZYi067Lu8fmURN4jRVJnFVomyrbF1OGF9ocrqfIXFhs3Uj1ibr/DBveHsvjwSPa4tVJBlmbptUa9auEFCyRT36sSNZu97c38y+yynXkS7dt+IW1Vkrt8b0q4Lfud+z50l/B6ZX0pFi1VVZGzj/vcXJ6kQcADksLk35nDg3ec7rtafyOFbbJVmP9+smSeujzjJOOx7M15qydR459b9uuuFc0/eh+MkYzQN0TX5mRFQd4ae+K5yca9cPvN4Q+xPG47m6iVTeyZN0qbFuVhXZRRFYqfjUis/WwaMhvzw2mpqz77YSXrKPsunCZfWG4VZbkyjZHBm+dlLEYoK/noUF/yxM482cf8wfOYZoL/7u7/Lt771LQBefvllWq0WP/rRj/jKV77ysZ4vz3M8z3vqx3eGPhPn/uPvbPeYHIuk3dwLaZblpyZJxVFIGCZ0Bx66AvM1gyyJ2T0cMd+wRBSw4zOa+KRJwsgNyfOMhYaOkidoUoZMRtVWaZRVlpoWYZyw3/dJkoRbOyOqtkajouMUik/h0hcz6QeUTZX3brvsdiZsLFVZnS+x0NBwXIUwikhjjXpJ5vJahYOeQm8csLU/4NrdHhM3ghxaNYNWRWcwDIsY5JQ0AcVSWG4ZeEGKHwT0Bg6GpvDGO9vc3ptiajJRnPHC2SZlW2MydUUEm6mRpBk/vOpybrk6ayrM1y1UVWY4DdnpOIwdIawYTYUTQaNscHmjzrklC9tUuLRapjNw6A5ddFWiUVYZOTHb+2Murtc4t1rj+taIMAwxlIyKpVC1ZeZqGkEgBrpJknFtc0gUp8JxsKRRKxnM1U3WF0/GxHYGHq2qRhjJaKrCYDilZonr4AfXOtzZmzCchsiSxKsXWyiKTBD4eOpJUu3t3TGjqWiOVks6F9dqRGFA9MC1k+c517fGsxSBdt3kzOLD0bUfBl2BC8sl4UxkqI/8XacQUBSZ1fkyOx0HJFhbqMzudfmBe/7BPwO8fbPL4cCjO/QLJ5uEsyt11hYqXFyr4/gxiizNHCmPBBx+KJodlqGgNy1sQ2WuKdIrrt8b4QUxQZgw17SQJLAtnSTJKFkqFVtj5Ahhho8gSAZRihdEHA4C4jSlYmkYDRtZjjB1lakf0esHTNyQ+aZFo2IhyRLDacRS2yYKYmxToWqJJAzHT7h6p0+aCvePSlmHLBdO5E6EhCArjB0fWYKdwylnV2poikTJ1lhdqDDxIrYPJkzciFZDOOFIsmiWXjnT4O7+hL2ug6KKZmS7bnI48Ng6nFIr60RxQnfsi4GIE7I8V6JVM8V3hYgnlCThvBMnIqKwPw7Y6zq069YnPjSYqe4RDgcvnG098pBRsp7NQv7zgC+/sFCk64TYpspvfOMC802b7tCnN/KolHSubQ7w/AhZFs601+4MmG/ahFHCe3f6VEs69/Yn1MrGLBZ04oZs7k9myRLtukWjatAZ+Lxzc1A0W5ost0ssFAkWWSaGohfPNHDciKkfE6cZpqax6whilKkrQtwQxPRGPtudKaNJwGgaicjDPOc7b++y1C5RMlXcIKE/9jkcePTHAWVbowwMJyFRkjF2AhwvZq5u0ahZs9d7d29ClgmhWtnScH2hPpYlkSKhyDJJmlIr6XzjC+tkec7KXHkmeMmynGrJF/d61SSIEhFf2m48VDuNnVAMGS2V/iRA14Qrn64qVMs6WZozdAIqJY2SKVII9nouE6+IL5clNFWk+hy5VoRxytXbfZJURLoeDXymnmj2kInvyTaFkDKMUwxNwTLvl9i6phBFCZIkYk0VSaJs6zRrJoNxgCxLrC6U8YKEf/Mnm/ihaPa8dnn+iekckiQcOLYOp5DD6nz5J3LGOsVPD3GScX1zwF7PoV42yHKJ3/mTLSZOhOsLV7d2zWT7GGkPHh6UZVkunCJ1he7Qx/ET0jwlCCHpT/H8mNWFcuHGKDPXsGjXTNoNm+fPtqgUQ5bvXd0nS8UA83gzTpKkj+TmA0L8fO3uYOboeHm98VNp8CmKjG2qvL8p1hRJgstnms9kROunAde3hrN/3+u6jKbBiQShU/zscdj3MDVRzyZZRk7OrZ0x7ZrJ968dkCY5ShGPnXNfsHEcj/I61RSJWlm4UTlFCme1JGryB4eTx/c8gPOrNdYXKtzaGZHnMNew0FWF3thHke8/76cJWZbPItjnG/bHdjt5ViEVrp9HQ2qJU2nns4rj1/Jcw8bQFG5sDegMRO9pc2/M2kJ5lixxHCtzJSq2xvWtIaau8vzZBqWCrNcf+TheiOtFJJrKfm9KEIl7/sa9MftDl4tF0uyPP+hye0ckTagqDCYhWS4Gjrap89WXlgUxC/j+1QPcIEFVJD64N2Q8jUCCUSFYj9N8ZmKhFoJpP0z45ddWcP2EekUXPUNE/XN+tc6b1zuEcUararDfmzJyElRZQpNl+uOANIeSqWBbJwWpYy8iTXMun2nx/Nkm9/YmLLRspl7Mj693IBfr2/F9L03zmXiiVKQHgqjj/6PX1/j+1X0UVeaXXlmhUTUJwgRFlnj7Zm+2Ji40S1zZaBBGgiBzvC5/sN/TrFmcWbrfUzgypEkzYdLieDGqKrM8d5qWdYpTPApfuDzPX/q1y/w//911/k//w9ssz5UfMsY5xSk+zxhNw8KorUiSGrifmIhjdb5CoyKSHD4KoSzNcs4sVRhMAyREStXZpxzMS5LEcBrg+jF5Dt2RjywruH6MLMHu4ZSypVEr61RLBlGc8M7NCaNpyC+/uoqhK+z2HLI0Z+JGnFmqcHapJlzyr3dIspyXLrRZmS+Lfl3V5M7emKkniFzjaQjkBHHKUqs0M3WKkhQZCbM4c2RpThwnrC9WhUGWJtLKBtOQaknH8SJ6o4APNgf4QcLUi8jSjHt7ExQZwjimXTdnZDNZltg+mJKkOft9l4kjDL3KJY0wSpl6EVpFpBQcLzWyLOP3vr9Ff+zjhwntusWvfXmd+cZJYcW5lRrNqsG7t3rsdF0OBz4vnG+yMlchzXJ2izmJLEtc3mhSK/ovDzoEH31Hl9cbTL0YVZF+ItONi2t1giihbGtoqhDIXr83PBVxfIqRpBk3toZEccbEjQQJVALTVDlTqnJmscpSq8Ru9z7JOU4yfnDtkGFhrtgb+yy1S8iyzL39CXGS0h36HA5d5uo2802rMF0T919v5PM7377DQd9lu+NQNlWmfoymyHSHHqsLFfoTH9vUUBRhcGNbGr/86jLtui3cXjWFaqlJECZsHkwYT0M6Qw9JkliZL1MyNZpVg7t7UyRgfanCfLPEctvmd9/Y5PbOiMEkoFE1MDWNdsMgSqAzcHH9hDQVqRuHAx9dVWfk0HbdZGWuQr2iM3Yisixj5AjS/JnFCnMNuxCNZwwn4oxk6gqmrjKchiiyxMZShXbdIggTeuMAv0gqrNg6ZVtnrmGdEHD0xz63d8bsdIRIbX2xCkHCyAlpFe7gkiSxvljl3oEgQ67Ml38iE7vOwJt931Gc0R8HLLVPzzefFKIo4drmgGkxkzuCWSRw+WHMoJiBx3FW1AZC9DOeBPQnAeTCdNUPEqq2EEAlSYYkSZQMmWbFRNcV+uNAEDUVmG/ZlEydRsVi+3CCGyRMvZiyrRPHovaQJGiUhdnoUrtEvWIyngaMXbGfOl5Ef+JTtnX+8M0dbEPFCwTfwYtSynFKVpyN4zjlR9c77HbFnjRxI1YXKiiyzKX1JreLniUIV//Fls1LF9sMJ6GYu80/Xhj0cWuaR+HBM3+jYnws4t4pTvFJQZElnj/bEgkPqszvff8epq5ALmHoMvcOxjQqFqos40cJJdPCNJRZGu+Pr3cIIyHi0DWJf/EHt5l4Eaoinnc0DUXPT1fZ2h+z1/NIkowb2wMkJAxd1MeGrtEZCrNHRZb4wqU2tYqBriloqoxtC/GwpsqYmspOZ8L7m0OSJGXkBMRphmUUdaUk0aqbqI4gjWuqzB/+eIc8h7u7E775+hqrx1Ir1hcrM4J/rSJq3qM0jeEkYKfgRbhBwm5nih+ls3QRsUfH5HlO2daoVcwTAuaSpbG5P0HXZC6t1/nh+4dMvRjLUPnqi0vc2h3j+wkLLZuLZ44bYEkn3PsEH0CsH3kOB33viSKOtYXKLFWvYutMvIgb9wYYmsJzGy02lqvsdR3qFYMgSk/UXb2xz3L70Wtimt43IQRYXSg/9rGfJhz03dlnOfWi+8LETzm8IOaH73eYesJM7YtXFp4Z4cwR8jzn7u6YsSvSMoXf0keMlP85wzYfrnNl+dnn4UXphz/m0wbTUHFcwTmTCKlXnj0pw2ASHDMlyzkceKcijr/xN/6GcBd4+WX++l//68KRIMtoNu838VdWVtjf3//YvyOOY95///2nfvzES9kf3Ke418oKUy+dRYopioSd9Z76+YIoY38Q0Z/EeEGGOx1gajKpZ9I/EITMfjdEzXL6Qxc/ypASn299b8yPrt5j4mWYukKe51jSlIYhk2g5B52Qbt9HAgJP5uyCzr4Uk8Q5FVPGklx2ByEDSbynrqHQHwzZ3tHQNYmRI1aC3T1wx/u8t+nRGSdkec65BZ2Djk9aON2HoU9ND7i2FZDkOaoMjZaBnETs726jqRL9ScJoFNMoK7x/d0oYQ6JL5OTo+YTDw4Trd/eIk5yzCwYTL0PXJK5ez/GijKqt0K6qzFVVDkeJSKtwUuEsGGXUSwpK6rO7PUWLxIaY5TkNPWKgh5CkDIdR8TlFaFHI1maX2Es5HMXc6wTESc7hocQP3tvkuVWTRkUs6Hv9iDjN6YxidE1irqqxuyvhDu8XXINpQn8aM/VTSoZCGGfs7EpsbWm0Kio/vDph4oloWS/MSaIJZ+YM7Nzk+NWb5Tk3d4MT10g4MR+p6o+SjLsH4ezPu7vgDR+fALPbj7i152PqMq+etWfF9k+KsZvghhmmLtMsf6aWoEdiea5cJO1IJ+K7a2WjIHh7GLpyIgrvCK4fkyQpQZgQxCkHA4+ypc/EIEdFaJrl7HUddjpTvCIVQ5YlSpbGeOKz1/OR3tlHlnKCIGbqReiaQhAkJEUiBTkkacrEi6gWRGvIkCUJVZG4uRWSkWHoCqNpSJxmwsHJjbmxPSweJxNGGUGU0KiYlApxyHNnmrxzu8/IjZj4Q7I0Y3WhQhin3NkbM5oGaIpClueUTJ3Flo1tahi6QqNiEMVZ4aKh0h8HrLTL9AY+g2mI68XomsJXnlvi7EqVckHguLTewDJUypZGo2Lwxnv7Irkkh0bVoGxrrC9U2D508MN4FoX42uW52Xd1d288S036YHPAXs9FliSu3xuSphkX1sShK8ty9nqOaMDWLOoVgzzP2e+JBKBmzfxQUmxv5M/+3Q8SvDA5cRg8xacfZUvnN75xrnA8LjHftBlOA+7ujcnyjN/97qYgYEcp9YrOy+fn8MME1xdpEGGU0qqajKYhB30PP0ywLZWRGzEYh5iaQg7cO5ji+DFZKkQH5EK88MUrC7PXcn1rKCJFgefOtVieL3Pz3hBFkTm3XOPdOz0MVZkN1m7vjnh/c8BSuzQj8nphgiXBvf0JOx2H9cUKb93oztwj9roO1ZKB40U0qwaqreMGCV6YoroRhq4wmATkuRjk+EGCZajYpsrYiVAUHVkShzpLEdGk797uMV+38EPRMJlv2GQIl/izKzW+89buTOzUGXr8uV++AHnObtdh6kaMXeEoPHFjFhoWpqFRL+t88bkF4iRlu+MIYmzhfqEpIjFrv++y1BIDhDjJhJtdcc+OnXBGZj3se9zcEeudqSv0Rz6Nqsliy2KhKZzoJl5E1dZZbN4fkoRxSsXWsZZVJBmSogi8sFonWkhRZAlFEWvOkYAD4N7B5LEijt7IZzQNKdsar12aB3IGk5Bb26MZUe7I/fjzRmD9tCHPcz64N6A78umPAvwgYaFZ4rDnkmQiHS6OUxYaFpWSysRNHvtcWS7cLaZeRJaLe/HIIC2KRZNq61C4zv3iS4s4vhAPdQYecZzxlRcXkSWJ+UYJP4qpl/SiSXSyHpu4EZ2hh67KrMxXHqoroyjhxze6+GFCo2Lcd2nLxSH14zabJk7E7/9oiyhO+YWXllhbOEnoGEyC+845uWi0noo4Ph5MXcEpIuNFI/6zX5N/6iHBze0RWwfCPW7n0CFOcqIoYTDxxN6R5xRb/+ze//CnzUmSjCyFkeOBJCFLcOnE8EBgPL2/5wH0xwGX1hu8dnmeLMtRFJl3b3VJkoyhJ5IZX7049wl9AJ8Mbu+OGE7Embc/CnjxQvtz5XgnSRJnl6ts7k/Iczi7XH1m3KdOcRKb+xOR4jvyuLk9Yn2hcmK/TrN8Rs58EF6QsH04pTfyMTSFTs1kv+cRxRlxmrI/8AjCFEWOcaMU/ch5VcrZ2p8i5UI4+cZ7e8IoIodcgoqp4Ec5JVPFMtXZefXdW10+uCfMTLIsm92DUg79sUejYgohsyKGyGkmRGllS+fdW33CWJwTTF0hzcRjJk7I8xstoiTD9UM24xxDV5AlMeBcbJVI0pxmVWexXWI0CSnbR8keEVkKuqpwe2eMLEns9zxW58t86bkF0jTjzFKNd2516Qx8WnWT9+70mRYikr2uw3/y9XOAOOs7fsT6YlW4D7oRi60ShqaQphlBFBdpt/edNh9FbFxfrHBze0QUp8w37ccOFBVZ4rmNJlGSoSry52r9OsUpPir+0q9dZnN/whvv7vN/+Mff57/9a9946qTzU5zis47jMwjx50+2L/RxDIYGk4Bm1eIbr60QxTkbS5Wnfl2r82VKpspIkbFMCRmQZeFeeu9giiJJjF2PHJHKdXtvQhjFbHcm3Nga8pUXF2lWLfZ7Dvs9j+v3BkI8H6fkSJRNlTzPeftWjzfe3RdnH0mwq4IooVrWGIxDOgNPpHsXA/mtgymmIeYVSNCqmxiGgqJIfOn5BSq2Thyn/Icf74j6QJK4vTNi5ARYukrZ1oX5TZ6TpXB3b8pOd0qtJHqSQZSytlDl6u0eUZSS5jlZmiFLOnN1i7KloWkyF1Zr5DnsdqdCPKIrHPRduiMPx4vpj31W58tcOVPne1cP6Y0Dntto8MrFeZI0Y6fjzNIKpLsixePtm10MTaFi60iIM+TjEMYpe12HPIfldumR6eHC9E48ZqldeqgPdRx+mOAHCW6QULFFPfRhs8n3N/sc9DzadZOXLny6zqifVXhBzH7PRVFkSqZ2ItH73sGEuEjG1jWFMEpmZM3jiOP7ffA0zbm1M2TsxGzuT6jYGv1xQJxkyJLMQd+lZKo4vhBTt+sWm/sT/CgRYqtJgKRIaJpCHGdIskTZ1tBVhV98cYmVhQor7TKKIrHfcxm5IR/c7eNFKYai4Acx7YZNu2ZyY3vEbnfK1Ivoj0WKuamLmUZ36HF7b8itnRFuEJNmOY6fMFcvCbNFSUKRBRnSTVKRpirBnd0xUz8ijDKqJR2jLl7n0dnB1DW+8drKTOgt0v/E2ilJsLFYZX2hQhilqJrExfUGC02b4cSnP/EhF2tGu2Fim7WHEr6PDABlSWI4DUmzMcuPmBssNO1iLpL/xHvHw3vRqfnUT4LBJGAwDrBNFU2V+d3vbjIYBwRhgh+mlCwNqUi3l2V5lkwRxQrNusHWgSOMaoOY7tAnzbJCACjm4W4oISF6f1mRMHM0R1fIcYOYkqWyULe513Go2jqSLBEngsuS5YJc3Kia7HQdNEUmilKiKBXJwF5Mq2KS5zCZhgzHIXk+Zi2rYrRsDocejit4OZoike+PRYJXnHBja0iSZkjA+5sDXi1SeyZueOIaToskshxYmy9zdrn2oaZnJUsTgrH+iLKtsdh6OqGR40UcDDw0VWZ1rsyZpQo3t0ZEScpC0z4VcJzi54IgTNjruSdmw0fzM1WVkWUZ05SRJSE+VhUZVYE8g3uHU25ujcjzjNG0jG1qTP0EWRIcs5vbQ5xAiCVv745mptUTNyLNMhabYt8ZTgKiLBdGhzl4UcxwImYOWSrx4+s9/pOvXyBKMjRFZutwSrIkkrJUReL3vr81M3lx/JjVuTJ39ibIkszrzy+RZjk3toc0yoY4C+xPmHoxFVuIKsS6Ifg6jYrBxDFI05xqySA8Vnfc3h2xczjFCxORrKErXFpvEkTJzLRxc2+CF6RcOdNEVSTu7o0BmKtbhFFKo0gaSzMh9EhzkU63vljl1csLQpRsqsjHkpQ1VWZjscrW4RRZkji/WpslAh399w/D0VksihJ+77v3jSH3+y6NYp2devFDz6U/sK+PnZB3bwme6sZKdSbgADFXeRZEHLqqEBzxKiSR1vQsYKfr8MHmgCBKZoakr12e/3m/rI+EOMnY7zvs9z10VWFp7uMlMf480Xf8h/4uinOevXdyEq737Fmwf+fNHbwgIcshyyL++O19Lq49W6KgT+rs85lha/zTf/pPWV5eJo5j/v7f//v8rb/1t/g7f+fvPOTSnD8hNu9poGkaFy5c+Eg/8+aNLvs9j1pJ58vPz+NHKTsdp3BQLmPqCluHziwydP5DBg6vIRb2t2/0CeOUJM1Q7BqlusnFdoncHJCmOdf27qHpOVGSE+UJQaIRpDF1SzhoLiy1qNo6cZKxPdzHSnJKpoIsSaytNVhfkwgiQXrMAd10URWJaeij6hqKbjIOJdqWRbUmYrgmXsSdvsz2wEdVdLwwZRhaWJZwBc9yCdvW6HsKkppjyhCEKaVqDV1V6XgK64sV/tMvzuNHCdsdl+v7twmiFFmRiOMMJ7Xo+yGWoeInIR1HxzY1qjWdm9sTTF2lVLGJZInGfBO9Igbb64j0ibt7U0ZOiKpInF+vc2mtDsD2oUMg+7xSy7ixM6ZkatimwupciZKlszZfmh32/sW37+KHwu3G8RIUu4Fim6wvlFFKDmmagy4cgOYbFiVL5UpBlDkceHiSy0pVNE5KpsrEi2jXLEG8rxpUa/uEWUgaJBhSystXVrAMjTNnGtjmyds2M/qzBpmmyrxwvjm77ne7LhM3omRpXGha5OZQvDZEEfncxsPkHYDhNODfv3eTNLMJArg9tPnPf+XcR7ruH4WRE+LtTKgXNV9rofyh1/unDR9FxHWExzW7NpaqbCw93nHq/Gqda3f6eFGCqSkc9j1xzQUxzarJUrtEq2Zxe2fEe3d63N4RjcCKpaNrCiULrt4dkuY5EhJRkjDfsEnyHAlxYJtOAoI4m0Vu10o6/UlIyVLRNZm5ui2I2BIkSU4WptiGPEvoWFuo0Bl4pGlOq24iS9IJV19dV0iynGbVZKczYacjhA1bh1PmGjaDsY/jx5RMldwRQhLPD9ntTUmSnDAUjcfOULz386s13CAGCVaKw4OiSLx0oT37nb2Rz3gakhZun2kGBz2H/Z6LpilIVEnTHENTUGRJKOsR5NHjjlRHh0QQDl9xks3e20Hfm4k4tjtTDvsicWkwCXjxXIvBJJgdugaTgOfONp+o/LZMlbhwJpVlCeMzENX2ecNwGvDvf7jNaBJiaAqXNhqC5DgJ8cOYW9sjsjxHliRGU40vXF5AlkSscJIKVzHXj/GjlHbN4O5eyGFfpGJEaUoYp/hBSqWkM1e3uXcwEQ2HHG5uDwmilJfPt1maK88EHCCa91Vbx9BVkjTDNFR++bVVFps2cXqLqRezVwz5TEM8RpKEa9Mrl+YIooQkzQgjEYWcpkL45QUpui725iDKQIKzK1WunG2iSBJeIdoAUIrkEV2VsQyNkRPi+6Lp6wcpk1CkbOR5zh+/s8e5lRpBlFKxNV4412Y0DXnpQlu4AxXww5SJE3DQ9/CChM7QY6czpV4WDQpZEU3mZs0iz3JKls6VM03iJOXG1hBDV2jVLSq2juyE9wdNkiA3H8EyhAvIxI347tV9wihBQiKMUxRVJiq+4/XFGlc2Hu38qRVRksI3nRODyuNN5mpJP+HAUX3MmjGcBtzZFc2iQfGZKIVLWZbn3N0bM1e3qZZ0XD/mxfPtRz7PKX42SNKM3Y7Dnd0xbhDTrhk8f7Yl6ubi+7NNhQurdd680Z0RtPP8xOUwQ5rnMzH4ceQIomGSJGzujVHlwmWuSOva3J/MnBmPXO72Q48XHmCCB5EYjByJJZI059xKjcEkEPuoKrO5N6EzFPve5t6Y8yv12ZD+UcTFp8X/+/dvzESNex2X3/qNF7GOuWs/WAM/ihhwiqfD119Z5nvvHZCkOS9fbD/02Z7iZ4uxE/LuzS6b+2OSNKNs6UVSVcYHWwNkSUFVIExFFHZWpHE8DeJUIkpSBtOAKEpRFZFUeX1zwPmVKtuHDkkqUrCsB64D61hEOIogaURxxmKrxGKrhKrKn7r78Hj9HsYi/vxJBKHPIlo1a+akeYpnF2MnJIxi/uTtfeI0wy3OzBvLtZlA2NAUrt7po6kyK/Nl9nsuYZSy33N5f3MgxJ/EvPHePudX66SpqFuFi7VEmqUYikiGPXJwG05ChpMOuqYwmoSz8wY5OILHgRcm9Ice798dABTJt0K4kSRpQRgRxYoiS7hB4QQe5azOlWnWLCHUcAMO+i5xmqIqCpapULWFENQPEy6sNVBVGT+MMQ2VNBUD3SzPCIpeaJRqnF2qkS+KGv6w79EZCBMZcQYRw2ZDVxhOgpmb3Q/fP8TQFZbaImVWkMLEEHQ4Fa5PuioTJSlBmM4caI/eJ4hzliTJGJoq+goPiGpubQ/54J5IQ/nqi4u88pSiN+mBnsopTnGKR0OWJf7r/+IL7Pe+zeb+hP/9P/4e/81/9fVPXW1yilP8PFArG6zOl+mNfUxdfaR51Ifhh+8fcND3aFZNvvz8IupTDKAnbsRORxCS1hcr2KbGfs9lMAkI44Qsy1EVcbaxnpDUcPQzlqFyZrGCqav82lc2uL0zYq/rULZ0ZFnCC2JMTSXNM5EA4EVoikQUp8SJIHDtdh36YyGa2OmIfzcNhSBMiNMMVZaRZInNvQljtwtISBKULY123cbxYgaTEE2Ti1RQiffv9OkNvRkxrqMIc6tm0YO5vNHg5Qtz7HYctkY+iiwjycKQTT0itcbC6TyMUyG6L0w6LE2lWTPZOZySJJkQjcbCobdWkM8qts7qfJnnzraQJYnuyOfq3T5ekDBXt0jSnIO+Q2foF31e0Sv9N2/c4+7eBICtgwmSJDEtTDyqJR1NFW7rOx0xqx6MA5R5kSb8pNrkxr3hrA6auCGvXJx7aC5/Y2uIV9SEY0c85lFi8zTN+ODeEEmSmKtbjKYh51drfOWFhYcee4S7e2N+9H4HgN2ug6LIPH/22SJ8PGtI0oz3NwUPYepFOL5wqp6v26iqjKbKs5Q7gIWmOJ8utcuEUYrjx9QrhkiCud0X92OS8t7tAYoskSQZhwOfNBXC5vE0JJfg5Ytt9nseawsVNhYr/Os3NouEHVGjp1FO6kboqhCOVGwdSRJJgEmasdN12Nwf4wUJt7aH3NoeEcYZObCxWOFw6LEyX6ZaMri+NRSJ4GHK1I2Za5hMnIggSmjVTEE2lcT6kRXnNU2TmHoxcZFkoEiSMM4sTNvCSMx4xk5EtRRjGQoTNyZNM0q2dqKnmqSCGH80p/DCmJX58sxhPMtzbmwN2e16SAhDv1pZIooEmf9B4rplqIymIZJEQbjPiZL0kaLxT0pssTxXJoxTXD+mUTFo1z97fYo3i4SIetngyy8uof+UhCpTL+LW9giA7cOYg74488dxioRIzaxVDGxDpLW06ya9kRB4LLZKtGsW2weC2J1l4vqRJCHAkIoDf6WkE8VifzpKAu6OfJIsZ325hm3reEHCxE8IgpiJE+AGKaamECYZSDnPnW2TpBlrCxXKls7m/oQ0y1BksabHcUqcZERpRuJF+HEmUu/dkO1DB0WWyPOcw75HEKVsLFWplw3yXJjo5TmEcUKS5lzf6uMGMV95YZF6xaA79ASfIkyolQ12uw6Nqvmh/bHhJJgRs/tjn/2eg66pVGxtZqj5IOIk5YN7w2NJMykX1xq8culURHiKnx+yLBfrQmHc9eBs+Mp6nR9/0KE/9qlXLV661ObenuAGLDRLXLvbJ4gEt2Bzb4IfxbM+2dSNGCYhSSYMphQF0kysJ7Is4XkJFOPxlFyYNRZCAz+MhWA4Fdyk/iQ80fdaapfY3BuLlJ358ol0uTTLWVusstSuIElQLWv8q+/cIctht+MQRhF39qakqTCLadYMOgOfOEmplg3aNWEqAzD2IpZaJfrjAFmGkimE2Efr4XAasL54/8zkBynNqkWzKsQk793uzeay+z1XCGCKNb879FmZq7BSLAFekLDYktHVx8z4nZC3b3ZRFYk/1VxnbaFCd+RhaApnlp58bvOCmK3DKVmWY+nKCWPI3Y5DvXzfVFbThOCmPw5YWyjz5RcWTzzXt364jeeL73yv53J2uTpLNnpW5ikby1U29yZEiTD8eVb6QaNJwHAq5vR+yGze/ixh7AhT2jASRpV3dic/75f0kZEED3/uDyZrPYuIokeQSD7l2O25HPkLxknO5v70yT/wKUSrZuH6MSMnxDa1h0T1T4tnYxV7CiwvLwNCZPFX/spf4U//6T9NoyEItoPBYJbGsbe3x9LS0sf+PZIkYdtPr70aTgI0zWB9SQwih27G+mKNxbn67DF398Z4IYBCZxTTalSeSPZNkowk8zmz3GA4DfjBtUN2uh5zdZtffX2Vly8ustdzubzRYjgJ2O04VGyNZs0kTHMUVaFZt3npwiLbh1Peu3lIfxKi6wqpD42yQRhLjJ2QsROx0xGEreE0xDZVFEnCMjSyDCxbp1wyubUzFENdLyaIY/pj4Q7tBym3tocoskKjZmJoKrWyIBXKsjgEyrKMrmq4QYKhq9zcnnA4Cnn5/BzPn5tHU3W+9cMtRtOQuUVLOHfEAbKckSNTr5j4UcZoKhJO4jRH0zQ0VaZZK7N50CGIUsq2xrlVC8MMsRJBRjF0gwyV27tj7u5NsU2Vetni1UsW8w2LztAnB5wgZ+BknFkSN9rSnCC8QIphSDSqJQxdxbIsXjhfojfyWWhVkGQJTZFFzLKmoKsy+TDGMMT1sDxvUKvojKf3ySYZKi+cX+D9zQG9kU+1pGMZJoauIikatn3ywPnKJZ2djkOOIN8cRRV3hz5DJwUUJl5GtSLx8qUl9roOsiyxvlB5rDv31qEPkoxSrBBTP/1I1/3jMHKz2XsHyCX1E3nezyqeP9sUTTSpIHeHCa6fsHUwxQ9F469katzZHTF1YrI8R5MhSY+agnFBGhfPJ0uCJNyoiCZjGCciKnXoE8cpGcL9xjZVsjzHCwWJdH2hjKaqOF7E1uEUoyxiVNM05+JanXpZ51s/3GbiRlQsjVbVAiknzbLC1V6ILva6Lo4vnDT2uhEjJ6ReNkgzobCXJSGW8IOEIBTNnM7IwzQV5hvC/SKMUu7ujRlOAlRFplLSiyZOPmumeEFMq2gIhnFKyVTY6TgMJgGyLGHpyqzZmec5nh9za2fE+dUa57LabIBQsXXCSJBJmxWTKL5fyM3V71+3fnCMrJELwokXnCRw+EHyxHX9/EqtINEJYtwn7ZB2ip8+3r3V5U/e3sMLY3IknCBmfaHCnd0xtbKIy9Y1BU2TGTsimnttocJC00KWZdIsKYajBqoqhom7PYfeSIgrNVXGNhU2lqpYuloQoEwhXCgZ9IY+3357l9/4lQvYpjq7Bi1DRdcULp9psFus/0cRwvViuLjfdzF00SBt121+6dUVFppiLwvjtBAWKbTrFjsdh9FUNDZcL0aShJtUtaRTtrTCqU40QBpVsdY4XoSmNdjpOIWIFdwkK8hpYnhRtdVC7CkIUUGUMpqGmLpKvWIShAklU2X7YEKWw1zNomrr3CmGj0maMXYiTF0jy3Pm6jar8xVKloZhCFFaFGcMpyG1skG7ZvG9awdkWY6uKaiKRL0YJkRJip5IqKoq3PdkCVWWiZMUCUkI4yTxHptVk9EJMlfyEIldVf7/7P3nr2VZmt6J/bY3x59zvQ+XYdJVZnnT1exmVTuSojBDjgiOZqAZQYAgDSVgQFGAMH+AyCEE6YMkYj4MZgA1pBE4wxbV3aLpZtsyXZVZ6TO8ud4cb7Y3Sx/WvifihsmMzMqqjKi6z5fMG9fte87ea73rfR+jcnGtwV7HQ1OVJw7PWzWH88s13r/TpeKavHy2RZbljwxdgofXlyidrltZJsgKpxGQJLvPGnkuuLM3ZDiJKDsG51fqH+to9EsNAdc3e4THgkE/JU7lc2WbOkIBTRH88IMDvCB9IjFbVyURMkof/xWqIkVBeS7wgmTqwL08VyZKpDjLC2KSVExTriol45GheRRntPs+vWHIwI9pVWzCOD0hDru9N6RSNGENXaNetbAMjZJjsND69HXdYHxfqBWlGUM/PiHiaNUckmLtqLgm883no4bc3B/xxtUDcgFfvDTP2eXa531JzNTdqcv4KT4/CCFr4L98e5eRn2AZOkGYUisZ1CsWL52b4U/e3KZRNYmTnHbfly6tn+B3ZLkUfNRcE6WsoKkqZUeKsa9vDqaDnVs7A169MMvZ5RrdYYBj6SzPlk/sa1bhnHn8PRW3SKLsTNg7mmAaGudX69Pz6EchTjJu7QwIopRWzflIYfsnQcU1ZfoeknhwmkYlkaQZN7c/+9f7lwlhlHJrZ0Cc5Mw2nKcmQ6bHxKNJxN29IULA+mL1Y5MaK67JYc8jyXJUlamz2xcvzeOHCWXX5IM7XY76AYamcGu7z0xxRt1tj5mEKWmSoagKjqXTrNjkQsjhnoA8z1FVlbPLVRzHJAxTLq7XubHVZ+RH2IZOjsDSZRpglGQIIabP/9XNHmHx/1kqyLJcJvmZGudXa0RRIToTOZ6f4IUp9bLFynyJNBWFUE26fGpFOp5laJiGhqbKs8Wd3T5+lDFbd1houRx2fWxTI4gUdo9GZEXN886NjkztNVS8wpkXwAtC6dosIAgThIDBOCJH1vfLsxVUXcHUNUxdIyumsfWyxd3dAZMgoeKacuDcnqAhHW+PoShyyJYWr8Nwcr+v1x+F/PCDg0KNG/HD9/f5zlfWn+qeOcUpTvH0cCyd/+I//Sr/+f/5z7izO+T/9P/8Cf/7//jLpyk2pzgFkjy79BFD4yyTJOPHEelvbfe5dq8PyL3TtnRe/xhn0CwX3Nzus9+RpmI3tvp87aVFtg/vD98NQ55Fyo5BrXyyTx4lGbe2B3SHAWMvZrbh4gUJmqawvlCl7Bi8emH2hCiyOwymaQCHfU+auzkW0dGEPM9IU8iFykF7wrdeXeLmjkyvNXWNJM1wLYssz/HChDDMSLJsmkw4GIWF8FX2bOIko1a2cG2dNMsIk4zZmsPu0aRISVTYOZowW3dYbJXQFIUb2338IOXCWo3dIym2rZQNBkVqmaFJscv7d7rkmcCxNMolg4Oux2HPZ67hsHkwIU0yLEOl0XToT6LCST/GK2YuaSYYjKOp+YZtamiaTFYLIpnMgSJdw4+R54J3brY5u1Sn7Jp4Qcr6oku5OOPNN106wwDL1LiwWn/iuSp/KB0uLgi5hn7yvnqwP5mkOWmWY6qP/swkzae11ZklOaf50uUnCziO74MH0XvABOgUPxvESUaWCZJUCsg1Vc4uPrjX5cxijbPL1WmS8NiL2T4aU3IMzq3UObdSn/6cLBfousr1zT6aqnBze0B/HNKo2OhpzkxNCpCO+gGtmsViq8zSTIUvXp4nzwU7bY/3bnVwLZ0syxlGMbalydlaIcY67h0ORiE/vnrIbntCHOcMJiFBVJhkqgq5kOeJwSSkZFtMvBhVUcjznEkgCeu1ssVgHBPFKc2KTXsQ4Fo68w2HlfkqlqHSHUXsHY3Ic0GS5VMX8lrZgiBB1zTsImGw7BhMghQhVDRVmmTkuWDrcMQbHx7w3u0uzaqDbWnstCfUCjd1x9JZmimhGBrVkkxfmIQJClCvVGj3A3RNPXFmXZ4tI4SgMwy4cqY1TVHujUJu7QxIU8HSbOmpUwieBpqqcP6B9/vzxnEPTv+M5hh3dod8cKcLyL3SMjW+fGXhY77r0+F41pflOZ1hQHsQYGgaYy8uREMg8uOZvGD7aEIQJliGRn8cUrZ1huOQkR8jAF2TpmBSnCgJi3GcFuKeHFeTaR9BlGJ4EW9dD8hzURghOlTLNoNxgKbkCIR0nT8/w8ZihbJrkGai2B9zOgOfkmNyZqnG2I/Z63rEtoHIc0xTk+LGJKdk64y9mJKj49oGC02Xmbo0pV2dKxOlUrBSLZXZPBxx2JOE5/dv91go9sdjEzghYKbu0B+HUwM429Q5t1J7ZHb34P40KMze5puyBjEN7bHPRBhn95PJH3h/Pgt0BgFbhzJl7Mxy7WNTyLcORrQHUrR7frV+agjxSwwp/rs/NXh4NhwlebHXSQ5QHAmEkLUcQjD0IoZjuUbYpirNUIYBqgozNRddVwijFE1TqDg6vVFMmmVYqsaljTr9iTR/Wpsrc3G1wX5XGp0qCtzYGhAnKYqiULZV/uwn2+x3fRoVi7NLVRxLxzI10kywNlfiB0dj0kxwZqnCbMNF01QUpLhECp8LQcgwRlEUFEVyhDb3xvhBRpLllF2TNK3QqjnS+FFVePWFWXpDyS96/2YbXVcIQilobFQtlmZLjCYRzZpDux8QJxlCyLU3irOTM48HHPhmGw5+KOe+pq5N6+nHIQhifv8vbk/FJb/357f5z/7OF1icObnWHPeTwzjl9s6QMJZGvb1ROE3MGE4idEMlLUwqF1qlE9e13/akmbYtUwVvbfenBrVxnNIdBFOzmnrZYmOpRqcv19a152R2YJv6Ew02n2XUyxa1skUUpxi6Rqv20XOCZxFxItcYyRNSpme45wlu+dlPm/k0OBa4P0+oOAadgbxuTYFG5flLNBNCkGZi2tPIBXyaquwXQsTh+z5pmlKtys3kD/7gD7hy5QoAv/Vbv8Xv/u7v8g/+wT/g3XffpdPp8MUvfvHndm0PxnId9Dz2Ox7dUciF1ca08H7wa0CSpypP4CTttif8xdu7jCaxdH/JcsZ+TNU12Tka8//74SbfeGWZF9Yb/P3vXuTd2x1+9P4e79/pMwkmOKbO11+c5/xaE9fWefPaIZMgIUwyVEWlYmtkWc5gHHL1Xp8gijnsBaiq1OLP1Bxmag6ObTDxY+4dDLm5M0ApHPkyIQevaZYRRjLJo1Y2p4fBK2eabCxV2dwbMpjEaKpskOiabBy3+wEjP2ZDkS521+71ubjeYLbhcGtngKooTIJkqkbUdJWl2Qrbh2OGXkzJNXAtnUbFYnmuMnUT17WU8STmzWtHBFHGylwFQ1fJcsHt3SFRnOEUMcO6qlAtWxgPOeE/+D5985Vl3rvd4ajvF3G+OqqqUC2Z2JZ+YiB/a7vPv/izWwgBL51rsb5QnboMKwostkoEYTp1AW9ULcquUbikhgwnMYYhY5gfF79oW/Jg9jDi9P715kI2cmdqDi88MHR+ElYWKidIwGceKtSSVLoxOJb+2EY/yKF1LsQJl4Nj94NjFW+9Yj32e39eSNKcqHBnfRYHfIaucXmjSZYLdo4m9EehTKGguPYoZRIkOJZBmo7pDaVq17F0FmdKWJaOZcgo4HGYoAiFvbbHd76ySrPqkGY5/+oHd8kRFGcFhBCEsXxNFlolXMegUXOolyzeutFG11X2Ox5CwOpChaOex/fe3ScXAsfSpWOUrdMdB1y/15+63/7ON9a5uzdgOImnyRcIhYmfkGfHbt85cZxxu+vLg6Yi3fb32lI5bhoaP756yCvnZnj5/CybB0OEkIkaf/XBAa+ca+E6JvWKzc7RBENXaVRtFAUcS6NWlk4drqPz9ZcXOeh6gJBqSMtAQeGo70+bMhuLVWxLI0lzzi5X6Y1CuoOQVv3kc1SvWFPXX11Tqbgmec6UQHa8Nnzce/0skDpP8elx/Z50M0izDCEUbm/3qboGSSajw8uudEBSgXLVYLElDwaNqkOUpPz3/+5OIdRKmK3b9EYheQ5BnGFoKhdWG5QcQ7rqlGUC1dJMiZtbciCoqgpV1ySKMy6uN7m3L91jjkl6Jcd4ZP3/ja+scW2zT5ykXN/s0xtFoAjGfoKuBzRrFoaucXGtThBlRGlGrWRxd2/AbntClMjmhWNrnFmsMfal2FNR4O7+iLv7IzYWqpxdrvPHP95i7MXstuVzV3Zk/HnFNaTT7yThsm1gGRplR4peHEsnywXDiYwNX2qVGU1ikixnZa6MUBQaFYv+KJIJYw0HU1e5tF5npuGyOCMHD5qqcGmjyWHPnzpMxUlGq2qjawqNis3KXJkX1hr83/75O9zbH2HpKv/Bd19goSXdt6oli1bNoTcK0RSFTFUoFyT21fkqfpjyb3+0ydiLqZRMvvuV9RPO9mXX5IW1J68DcZLJIaOi8Mr5Wfww4U/f3mWxVWKu6Z4gWz6ylxaRrYc9H12TRL3ja6uX7++znYGPoWvTIc2nQRilHPR8OkUDK04y9jrep3J1/GVBkmXUyjZaIMXR7b7Pe7faNKvONNrcD2OSwvntQTz4cZqDooJpKMTJ/c+oSjF40VSUYnivAgMvIklTlpEO06uzZaolGy9MqJVM6QinyfvYC5Ip2TmMUzqDgLGfMPFjHFOj3Q8I45RGRda3zapFUtStrqVzaa2BaerESTZN4XlSffhRWJ2vTF0ha2WLZuVRp6zjBIDnCT94f3/awPrBe3uszVeeysX0FL/YmAQJNzb7pFkuCQ22weKMi21pvHphhpfOzjDfKhEnOW/dOOKw6zPxY4IoI3vqHA65jiRJhqIozDVc9rseXliQLh6I9clzScCYqTvM1B3COOUPvneH4SSm4pp896uruLbJ5Y0mh30fXVNZaJXww4Q3rh4ymsSoqkKU5Hz5ykeTbEA69x+Lw456MrW08TGk9qfBueUaBz2fNJND12fxjPd5YPvw5OtdLZkfKyI4xUlsHY6n/ZH9jke9Yn2kSP/YRdgLEixTCrSPTQdu7wyoXZr/yPvzzHINXVMKZ9oEkcPaQnVac3UGATe25M9XFQXb0qiXbdI8p+YaqAhp6CCg7Oi8f6dDmgocW6bRRUmGoapUyzZ/7fVVAN691Wa345HngrGS0Ko62JaOyHOiNOOwF0hBcy7Y7/oc9QvDg7KNaamoqhSKvXimRZLIRA7LUPngbndK5rMMA8uQw9VGxWbkx2SZwDZNFlouIz9B01SyPOfP3jqU61LV4dJGvah1ZM17zJcYTSL2OmMsU5KhFEVlrlEiywVl1+DWdp+Rn1CydKoVayo8FjmIPKM/Tig7OudXKvzg/UMAFmbKU0FGdxiw0/YYjCJUVWH4QNqPELAyW2YwidBU5cTAzQuSE4Wc9xmSOk5xilOcxHzT5f/wP/sK/8U/+z4/eG+f/+pfvMv/8t975bGuuac4xSkkdtsTdguTlbPLtUdcqidBcuJj/6GPH4csyxmOo2k/fOTHbB6cdOPMc4Fr6fzow0PpzF61+M6X17BMna2DEV6QEMWZNJNzDEk4GoVTExVVPXmOjpOM9+902G17eEHMTM1mtu7gRxX2jyakaUIYpbx/t0v/997npXMtuoMAQ1doVm0Ouz5xkpHmAgToqsLEz1AUitdEUHIMGhVbJiRHCXkuOOoHxGnOYByhagrNqiWH9ZkkdyWp7JW5toGuqnRHkvzthTEf3O6RZjn1shTtjyYhZxZqhEnKfMNlr+0hkIYt17cHTPwYy9KplTXmZ1zsYt4TFb/jqy8tMpxElByTm9sDLFObpo+fX6mz254AoCkKVzZa/Nnbu/JjVWGu4WDoKi+s1hn6Ma+/MIehq9zdG6FrKkszZV482/pIJ15VlaY4g3GEEELOrMWj59Xj/i3IHvWTnP5NQ8OxdQ47HqqqsP4UBLLV+SrXN/uyT6rA6txP36NMs3w6I/tlOlPGhUu+7O8/+e+2TR3H0gmiFCEEuVCYBClV16TsGrQLc0IhYOIlZJmgPfBxbeNEDzmKU3qjiJEXY2gqrapFux/QGwVUXZvVwohwcUaanimKQrVsoqkKmqrw7deWmW+6/P737hKGCVkOlil739WywcZSlbNLdVp1m++9u8dwIvuvI1/+N81zdBUyIQUl7YGcQdhGRMkx6A4Dmb6HQFFUgjjF0EFXNV6/NMvWwQjb1Hn14gyaohKEKZsHY456Y5IkJ0fOdvrjiP4oAQSGrtFsyETyg15AyTGYqUujrYPuhBtbCX/+1m5BxFa4szukWjKksU2SycRBTWHraIKuKsw3XV45P0N/FKFqKvMNOfd9hHdSzB40VZGckiJ9p90PpqTfrYMx9bL13LhYfxJ4QcL1rT5pmtOoWpxfqf/UtaIXxCc+fnjv/CxRcQz2OrKvM/YiDF3lzFIVFDA1lXrFKrgOKsNJShAlkEOaS9Hc9e0eQz8mK4RFiqJgaAqWqaJrGlGcEca5FFZoKgoyZadesemNIygI0KahomsqOeBYhkySySWReKEwGd098uQaGqWoKAzGMYNRTMnS+WuvL3F7d0B/FJJmgtmanJlWSnLu6dpyzfWCmJ32hN4wZOtwLA2xFIW/8fV1Xru8yB+/sUnFlaZyQy9CU2HoxdI0LsmZLcQfrmWwczQp3q+ErYPxIzPSWtlir5i1pVlOyblPvo4feo6O4R7vxcXnG58R1yVJc+7sDUFACtzZHfCFF54soj12QYfjv2/EhdWP5wCd4hcThq4WHIIQBZhvuVOxraGrbB9NEMUeghB8uNlDhWmPT0HWcUIITF1j4kXkQiHP5cxxZaEkBQ+a7H+p2gQ/TKmXTExTZ31B7j+1ksnF9eZUTD7xY1xbJ0klJzDLRWGULA2Jh5Oo+B2y/hhMYhRVRSMnSeX373d8FAXWFypc3+wxnMg9b6ElTd+KEhBNV9nvTchSaS65Mlfm1s5AcprmK7SqNm4xu9w6GhBG8hyQ54CA7lAKJAQhiqpwY2tAkmUstkqsLVTwAtnba1ZtVufLbB9NsE2NhYasRQ56PrWyxaUzTxYVeHFGmgmiOENRQT2pRSZJc65t9gjCFGe6Jsr9Zb/j4UcJriXXKU1V+fXXV7izN8IyNF48N0MQJgzGEY6lc22zN61pbUs/sU/pujY12QXJJRx7EWM/wddSZqOPNqc9xU+H5bkKF9cbeEGCbWqcW65/3pf0idGsOcw3XQZejK4qH5si8ywiF4/Wgrb9/NfBqXj+BDXnV2psHhQGGSq8tDHzsd/zrKEzCKc88JEXs9eePFU/42E8/3cg0O12+Qf/4B+QZbJYXllZ4R//438MwD/8h/+Qf/SP/hG/8Ru/gWEY/JN/8k/Q9Z/Pnx1EKQIhichhwtiLWZ4tk2WCrYPRNMJsruFKArCQ7pYfRa77ybVD0qKJMvFjbEunVjLJhSAsGontgXTOvHymyZcuL/D+7S4zdZskzSk5JktzVZZmyrx/u8PIi6VLhqqSiRzH1qEYio68iKEXkaY5hqEhhGDkR5xfrdGqufzwvT00VaU7kcQuU1eJkpyKa2CbBrWKgaqlOLaBEKBrGhdWG8y3XAxNY7/r0x+HdEchN7dHjLxIFnQCLEun3ffxwmTqhFEtmdza6TMYJ7x8YYalmRJjP8XQFDYPRsw3XWxTugB/+coClqlxZ3coCdVCMPIkUTpMcnqjkPmmy1zTnR7gTFPDDxPaA59KyaQ1VdlKF4PZxv1mtq6rvFa4Dw0nEUERz/i45saPrx5OiZbv3+7ywlqTy2eaeEFCtSSJuFfOtOiNQkxDo1mVDZxqySRJJckrTXPqFeuEgj5Oc3YO5bC6ZBsIBPWyNW08tKo2B12PJM3Za0+IYhnfc2G18VjxRH8U0h0FzDVLVF2T//h3LvH2zS5V15z+rcDUSSnPBa6tc3mj+YgD9xtXD6ZuTedX63ztJZl+U3IMXjzbYuTFlBzjcy3+vCDh2qaM/LVMjStnWp9ZTOxniUmQsDhTouIabB6MiZOM7iAkCFN58DI0sjTn7sGY9sCXwoWKiR8mLM+WObdaY2t/QpTmmIaGogjeu93lu19do9+NaFQsDnoBSRKTC0kSTYsEjdV5GXt+Ya3B1qFs3leLCGJTV5mr27x/t8ckTDjs+SjI2EPT0LhRCDhAIYgyxn7Ky2dnOOzKpqCmydjDKM4xkA1bRVXIhTyg+GGMgipdRzWTO3tDzi5XsQ2N3faEVs2eqtoPej71shwW/PqXVhFCcHd/OCVTX15rYhgadU0FVeHCSmMqtmjVHBzrflPmQfcMVVVYmpEHvOMIuLMr9UecvxdaJWxTJ4xT6hUL09CYbTiYhvqRa8MpfrGQZKl0uxYKaZYXh+l9LEPj0nqDimMUUaMKS4WAQwhBdxTwvXf2COOMLMsJkwzHNtA0RTrTqgppLt23l2bnmGu4VFxTNilU+TWjSUTZNREIvCDmqOdxfWuAQCBETqvmUnKMR1xm6hWbr720SLNqUylZdAYBiiIHeSKHKM45v9KQz6wX4RT7zVHfp+7aZEqOyAUq0pW73Q+wDZ2towkrc2UsQ+PewQjL1KZFq2WqUgxVszE1FZFLMeLKnM2XLs/xm19bozuKpi5eaZZTdkxAphKdcOvKcs4t17mnDsmF4Nq9HkkWcNjXeO3iHEuzFYIoZeTJ12d9oUqtZHFzu1+8ZzlxKkj6PudWavzowwPu7Q9JU0Ge5/x///Iu//P/0YtomkKWCV5YrfGTGzGKULhyvslXrizSqjssz5Z54+oB44LUNfZiPrjTeWrnpf445Nb2gLGf0Bn4NCo2h30fp3i/jno+s3Vn2kB+eC/tDUMEgkvrDfww5eJ6g9u7QzTlvtvVn7yxLQe3Crx+cY4rZ1qf+B4/6HpsHYw56ntsHUyoluTQ7JQE+tFwbZP1hQo3t1N0TaVZtaUQ1tbQNZs4zRh7IflTcLKTVKCroBeR5poClqHgOgaapqGrKoc9OfAPk4wwythte8w25KBfUxUurNZpVm2Cogl3d08SJeJEujMOiqapQMi1wTUlKfKB6/j2F1bwQkkmP7dcxTR1+oVzmxBSQH1xvfGJhRz//q+d581rbaIk47WLs/hRwtbRiNm6+8j5aOxLp7FayXymk2DyYlh2DFG4n8Oze82n+Plg53BMmuVTQfLIlwKryxstXnthDkWVCVnfeGWRhZbLv/yL22wdquTikxGBFeR+ftDzWFuoMFuXCQLLcxV0TcWLU8I4ZbbunCDnXL3bm5KYx37M+3d6fOXKArals75wv/E0mkSMiq/Lc8F+ZwJ8vIjjwedCfvz0wpSPgqapnzqm9hcZDwp2QCZ3neKT4dF79qOb4e1BMB2yhVFKexAw15DnSCHkOQCevE9qqsLGUo3f/to6P756iKGrfOPlBToDX4oGtPupOLkQCCF46+YRfpDi2DJ5st0LsCxJ/pFnDYGuwZmlKoNxTNkxWJ2//7wogGNqZJkc6i7PllhbqMkEviCmP9rFT1N0RaE78ImLdLD2IODbX1giTnJcxyDPM/woRVNV5lsVrpxpTc/mhz2f4SRGU1XOrdTQNBXPT2hUTQ77IdFAOmdeu9eT5wxFpTMMuHugMVN1yAtHI0VAXrxOt7f7CEVFVeBrLy1OiaiH3QlCKJRsozhKCOabrnQeVVXu7I/xgwTH0UmTnKUZ+Vrc3u7z+sU5VFU6go6KJD+QdfkxXFunVXOmztSLD4hM51olamVzuo5eeIzxyilOcYrPDi+ebfGf//3X+S//H2/wh9+/R6Nq8/e+e/HzvqxTnOLnjizLGXoxhq4+ce4SJxm7xTxMCNjcHz8i4jizVOPG5kAaoWgK51Y+3njINDQqJRM60nW3XrYo2QYDL8IPEvY6E+Ik54/6AaqmsDxTpj+KuLE94OVzM1MCUcmR5mZ5Ll28u+OAD253WWiVuLBaIxeSwKWqKn/21g4jL8E2dbJM4EcZhq5ydrGGbWp8eKeHmsvEkYOORxDF1Mo2whNcXG+SZYLdIw+RCwRi2l+ouAYLzRIDTyaKm6aK62iUEx3b0vGjVKYUajLVI4rSwtxNo1m12D2aUK/Y1EsW25MRfpiQFwZ2qiJ7o4oiUzslyVt+v1AUuqMAP8jojUPiRKayW4ZG7ho4lo4Xpoz9pBBhuKzOl5kEMYauEIQJSZrRqNisLVQJw5TZhsvSrBS4nl2tU61YtPs+F9cbTPyU3ijEMnVeWqhOyXamoU1nGh8l4DjG+ZU67YHP7e0h+90xh72AL12aPzFPPbdcp1uWpm8zNfuJ5GlVVWj3A27tDlEV6aT+cZhvuvzGV9elQZ+mkGQZfhjj2p9u9uiHCVfvPTg3bP7CpabLJHmZ7nc8c/4kfT1VVbh8pslR36fd9+mPI3rjkLOLVbYPxygoLM6WMHTBYd/joIdM/DsvxQPHtbU0d4jRNIWRJ92/1xYrRHGGbWrFrAW+8uICkyAhS3P8OGX7cMzqfAVdVVAVuLhe57DroygKrqOjaSqX15vM1t2CbOrgWpJAGmc5jqmx0HIIwqwwgrMAhXrZZKft0R1GlB0N23S5uzchEzI5MM2lWeLirMlgFNKs2nK+aBhcWK0zmESsL1Z498Zh8dpJYmgQJNTLNqgqfpjw5oeHaKrKTN2WhkulOfYnHvd2RzSqFmmWkaQyJcQwVPIc2gOfyDUpudKMTlVgZa5CmuV89cVFTEPjX//wHjtHE9I8l89PzaZeGPLstid0BgFBJEmhlZLJ2eUa1zf7J97b7Gka1E+BMErxwuSxM6nPA9tH46nBTn8UMZhEU7OiT4v1pRpXN/vEsRT/XfgZpo54YVrMsnXmGi6TMKZkG3IGZ+romlw7V+bLBGHGbmfCtbs9JkFcCDRSKSwSQooxNIVG1eagN8EP5fUfw1IV4iAFRc7mDE1h5CegKJIbYMSFaaFA1xUUpPv2cBJOTZ+8IOHewYjuIJgaPUZJzq29EWGUYRk6qpqhaRrLc2Xu7A5RVEHNNVmbl0k+rq1xZ3fEyIupluSasd8L+LWKxddeWuJP39wuuEcKs3WH9iCgXrFRVVholvjNr6+fmPcDj3wMMhHneNa2sVhh63BCnsvX6Ul7kKapXDnbpDsMMXT1kTrq0yIX4oQZxMf1Sh9+Xj+r5/cUzycURcEyVLYPRqiqTHu7ttlj4icoijR58gpT4VSXSRtRJuT9rigszUpDE5GDY2vc248RSi6nWAp8/eVF7u2NaVSkqaAfZjQq8nvTNKc5Yz9wLUxFm9fvdaf3ssiZ9hKPIcUMchGKkozdjoehqeSq5KTtHE7IitSg7lAm7nphSsnSefncHGV3QLsfFHWnwgdFwl0uBKLgF+RCYGgqV+/22O96aJrCh3d66JoCKKiKykE3mCZceIHkC4ZJSpbljAPJuYqLfaRVtbm5M2A0iRkrRT0TSK5kmua8f6vDN15ZOvF37hyOidOclfmKnKEUSSWvnD9JVD7oegSFEcwxF+zBerxVdaYpePWKxVyzxFzzfj/SLBIeQNYO/+qH96Spj6XzW19bm85Vy47Bq+dn2OvKc2GjbNPuByiKUnBZx5xfrRciHOOpzgSfF56XWfGDKDkGX31x4ZngTH5aNKsOG0tVbu0MsQyVV89/dHLnswjvMYkVncGYpbn6z/9iPkMkafzxX/SM4bAfTksgRcDm0fgjv/5ZxMMz2I+bHz4Jz+5q+wmwurrK7/3e7z32czMzM/zX//V//fO9IGRRcX2zJ4ezCFbmymiqOh3uPdikalZtXjrbIkqyIjXi4zeXME4ZeTHL89L1LRc5R72AMMp5+8YRQuRcLlSeigIl5/7Cn6QZ79/pMvJi8lwWZ82qjW3JiEIhYL9waNFVBT8HJZEFlKYqDCcxC80SUZKT5Tlxmk1jyIoSrFDOW0SJLN4sU+XSRoNm1cYyNAbjkLmGjOSN4xxdSdE1BdtQubjexLV0BpOIhVaJ2zsDtg7HJGnG3f0RFdegsm/xv/67rzBTd+kMAumUkQk0VarmcyG4vtknilOO+gElWzp91ysW9YpFyTE4v1Kfxp7d2x+xfThm4suI5DTts75Y5cWzM0yCmDTNJXGxG3BhrXbC9af2QDH0OMj3ulhyire94ponNuPjSMYsyznoeiiKPHSqqnTaGHkRlqFNmx1pmvNvfniPwTiiPwqZaTicW67TqFpTlb1t6bx8bobd9oQsyzF0DSFgrzOh7Bjc2O6TZTkX1hp0h+H9A6+u8ptfXadRdfjV11Ye+Xv2O5PpQdcPUwaT6MQBNc+l4+Qxbm0P+MILs9Nrd23jZNzc54SDrjclr0RxRncYPHPOzlsHI65v9slyGWX79ZcWCSJZsF/b7OHYBqqi8PbNNpauoesaqqqgKNIpQ1UVaiWbejlmrzshjFMmvoIfpvzzP75F2dFJspzFVmlKPj5GEKVsHY54YbXJTM0iz0ts7Y+I4hTXNlhbrJLk8l5U1SJCUZHOXJYpHWC2j6R7haYpBckYZpsOrq3hBxmOJV04hRB4oUoU52wdDBGIIm44ZaZuszpbYehFzNZd+Swejtk6HNMbhRiFG+exs35nELDTniByKNkGe0ceg2FItWSRphmXz7T40uV5bmz3GU1i4iRjEiRybTK1E8OF49ehN7wfwb3bnjwi4oDjVJmT68DHrQ3PIpI0ozMI0YrG16lz4dNjebaCoUOcCPJCjGhoCoNJyFE/wI9k1GW9YqGp0s2i3Q/IhaA3ChlOIjRNiicqrsnaQpWbO3JgpWkaCtKd4usvL1JxzaljwspcmaTpUnEM/Cjlzu6IP/3JDiC3nHdudPjOl9fQdZUrZ5pPXH/XF6rMNdxi0CIx8iK2DuTzNvZllHDJMaiWDKJCOCtyKQA9Fkroukqe5wwnEXMNFwWwCwes4SSiVbWpOCbnVmqMvJixH6NrGt9+fYWXz88CsDRbYWX2vkOGdDo2WJmrcHdfOtG4ts5gHNEZSreMWzsDUGRNZegqW4cTKiVLEsCKdejKmRb1inS66wwC7u2PmASygbXf8ai4OmM/Jk1l9LRADrNNQ2VjscqfvrmNbeiFM1fA8myJVl2uBw+7AR4/Oh/e7bLXnnBupc6ZpccPvY/TjWxT5ajnM/RiJl7C2eXqIz/vGMd76b/78RZv32yDELx0bobf+NoG//qH97i7NwQURn7Mi2dbU+c9BLx/p/upRBzHoleAIEqkM5L2izXE/FnhV19fplWzpzXZ1c0+hqYQxxm39gakScbIT9FVKab8KMjPy7QNXQOhKIUbnYoXRie+P05khHq1ZDLfKrEw47KxKO/DWtmSCV9BglcQKjqDkNmGjWNrCIxiCCHPCF94YZYgytB1tUh6OVkz7RX3Mcim2ciLP3HimqZpfOVFKX466Hr8yZvbUyLpd7+yxkzxvB0LikCmf10503pmnRHVwpH8gztdAC6uy9SSU5wCRZK4d9sTDF1jqWqx2CjRqNvc2pFpWsdnu3rFYvtwQhCmfNK+jwCSTDAYhdzY7rPYKmPqknBUL1vFIEcSvG9s9fHDlJW5R0UQT3rCSq5JqUj0URSmJPWPgzRkkA78rq3TrD5fNfPzhsWZMiPv9PX+abA8W+bm9oA8l/tqrfT0r6GiKCw03algc3Gm9HR9vyjFjzJePCsHem/f7NAvXDBRYLHlMgkSVFWhPw7ZOhiTA6oQHA1DPD9B0xSqJQPHlCSLKMnpjyN0VZW9gJmyfMAFXDrTYOBF9IYRrqVxfq2BY+kyNSyQaROmoaGQESb5dF0I45TBOELTNNIs5rDnEwQpKLDfHfPNV1Zo1RyiOOXqKGTkxSiqdAV8ea1BZxBQKZn8+Vt7RAXpYxIk07oCBINRRFCQS8qOJIAoxaBZ1i1S/J6kGVfONEkzQcnR6Y1j4lSmjsw2nOn5vDMMUBWZdpvnOZ1hwPKsHDAfu0NnOZRdg8XZ0jTJZuaBfoGiKFxcbzDyYvSHknNNXeU3v36GvbZMWpp9yrXxFKc4xafHr3xhmdEk4p/9i/f43X91jWrJ5He+cebzvqxTnOLnhiwXfHivNyX9rC1Unm7W8ZhCv1a2+Ju/ssFhL6BZtZ+6v/3axTlyIQjClEphXibddQX7HV8KHhXoDkIWm6UTBPGlmTITv4+OJEauzJb5//zFbZIkR1dzfvThAbd2+pQdk5vbDr/x1Q2CUCYaZ7lA11TW5it869UlJkHC8M2oSAjIiWIp5rRiDS1IQQgOuh5xlqHrCqoqRSOaobFad5lruOx1PGplkzBO8UNJqE7SnBldCjcmQUKjojFTt6lXTPbaE0CmoKep4NbOkFbNRisEKd1RyNCTphmGoeKFCXGaszjjFr1VjdmGTafvE8ayzlKQ8w4vSKSZ1bI0eusNpRhiabaEaxu8fG6mSFuHkZdwY6vH3/72WWxTujEf94IVZG+UoicomoJZz2E4ieiOQoQQnFmqfeKZhqoq2IbOT24cTUXMXpDwd379womveXDuEkSpTJQ39ROJjMNJxF57Mk0Y/vBej1cuzH7sNcw2ZF38vXf3pEmgqfHbX984UZ89LQ66/kNzw/CZmxv+NHiQu3DcL3cs/RP39Y4N32ZqjiT4WRpjL8ayZHq4oakceUnhIJ1y2PdJUik0+86X15htuAwnEVuH4+n5Zr6o1zf3R1K4ffzLFIU8F/zlu3tF+gfUKhajSchgEnFza4BrG9QqJmcWa1RLJqqiMAkSZuoO+50JXiDTkdMsR1VVXrkwSxhmzDYc5lsl7uxIgyVFAd1QsS2DsqNzb39Cnufy9VKlwVSr5rC5P2Iwka/Rr39pVRrqxBmb+yNmGg73DiYkWSqfZVXFj1IMU0NTpFBc0wRekOJYcmZfdS36Y7lOLLbK7HUmlFyD9UqFSWF2aZtFH16BmZpM0qmVTWxL5+ZWn4promkKV+/2GE1ibu8O+fUvrbI4U2avPeHN60cydUiXvUrb1FkpCPRCyLnKgykEnxaTIOHavd6UCP9RM6mfFx7e6pSPMFR4WlRdk7/5zQ2O+gH1sjUVzPwsoCjSBPZYdLW+WGGu4eLYOl6Q8JPrR7iWIc3JhGBjoUq9ZPL+nQ4HHb9I8IQ8lxwOTdU4GgSkqRRK5ULaDSmKXPc0Vb5GQz+i6phkuXxuklSapGa5wA8TEAqqpjD0Iu7tjbmw2uCw53HY97lbcFvCOGOm5lB2TcY3I3aPJpimjqaqREmK58eYmkqYZpDLNXg4ibBM+bc9KLxQijbK8myZv/HNMwwmEa5tcGt7MBVcrM5XmKnLtSTPBRXXZOzL9ODFmcev5Q/yVmoVGz9IcB3jhLHqwzB07TPfGyxDY67pSvOIB0jwT0K9bFF2DSZ+MjWlPMUvL5I049+9sS37hsBwcpcXz84wDmTaVZrlaJqCkoKqKczVHQ56AbkiDabOr9T48F4PIQTzDYebW0OyVJAhBUVlR/IWTEOdmsGFcYZrGVw+M8PN7T5hlPLCehPb0nnvdgeAPM9I00yKKhDomoJhqPSGISXH4KWzLbwwJUkzbFPnwzsdDicRAnBtQV4k4wHc3RtyfWtAFMszwE+uHfJrX1plMI6oVSzevdUp+nwC21Q56EmBpxACP4wx2hpx0XccFAYzKHJHMI2Tfdr+OJoaLcZxhhekMsUEGPvJ1NRKCDjserT7vhRiKZwwzAH48YcHU9GkY2ksNB1sU5sm2oVRSm8cYhnaI1yA+aascY/Xs4vrjaJnKgpB3Un4x0kctk5/FDFbcxhMImbqDlfv9aXRDXKuujxXnooeGhVreu+A3Avev90hy6SA5uJ687G/7/PGfsdj+/D5mBU/jGeFM/lpMfYislyK7jVV4aDn8cL685UGNVN7dB+vus//3OyzqHN/3ri7N5yeRdMcrm92P98L+hSYqcuQgCCSpq5Pqjs/DqcMkp8RusNgepMpKDiWjAk97Pnomsr6wsnC+2kX6S9dnucv3tqjNwpZmCkx3ygxU3UI4gQVlSiRTt4f3u3RqNi8+sIsv/6lVf6HP7lFGGfMN12SIuq3WrJ47eIcYy+W7iRBymASszpf4txyjZs7Q7IsJYhUNFU22tbmKtTLNntdj1rFojPwpTuvoqBrkpRaL+KFqyWL2ZojXWocm5W5Mu/f6UwbMrquUXFMtmOZLqDrCiXX5MWzLdbmy1zfGqAqCu/eaqMW6SBZJlXoUZLx1o0jvvnKinSFKZlESYamqmws1tgulFmWqbM0W2J9ocJwEjP2ExxLlwSq4vA113Cply1ubvXY63gkaUa9YvHlK/PMNVxKls7v//gufqFq7Y6CR9Szx+/5sVryQfLKV64s8Fcf7JPlglfPz+A+IYJJCMG1zf600TkYh8RJxjs3ZZF7bbPPb399g1rZojsKpxHFfpRy2PU4t1ynP4pIs3xKCDANbbpYHEPXVP787R322lLhe2dvRKNi3l8U05x7+6MTzdMHoakKvZG8NunCfbKoVVUVU9OIU0nw1TQFXX32VK/6Q6kbT0Oi+Hnj/TvdqYBgOIk4u1SjUbUpJRnltjnVBiWZjNEtFRHGzarNN19dQgC9YcjYD6EQOgkV/DDGtozC/RMWmy43H9AagXT2znPBfMulO4wwiiSdfVemu5xbruE6Jpv7QzaLmN1G1SJJc476Ab/9jTP8wV/eoTMKGHsJ79/p0KpYkijhmMw2DMqOwVHPZ+zLRKAsy6cKxZJjkKQCyzBQVIXVuQp7nQm3d0ZUXF02UW2dNJdNf8vQaNUcdE2dNlYGk4j2wMc0VGoli1bVYXm2hG3p08OVaWg0dJWXzrWwzEfjsTVVmZJagEKV/4uJLBd8eLd3wmngSaTzUzyKubpLs+owDhKEF2ObatEdlo41WS4wDJ1m1UFVpIudAFRFYX2+wm57gqlrVFyDxZYrSdmAH6W4lsZL5+dAVfjTn2xTK5vMNVwsQ2d1voKmKgwmMZMw4dpmn4OuJ10RFEiTnN3OmFrJojsMT9QafpGioyoKmqbgWDprCxUsQ6M/ibANlQ/udvjwTm96CKuVLNbmq7ywVmfiyUSw9cUqV860OCycaeca7tQZo+Ka7HU8zq/U6I5C9MJ1F0Wh4pp4QYKuq9PGwTEaVZsvvDA3HVAoilIQr0wmvhxC7BxNuLHdZ6FZwtRlE9nUVbRiHegMAgZjmZZVcgz6oxBntoxjycj3LBM4pk6e57x59ZCFloumKARZRp4LFgrBVpzkRby4jxfKlLV8KJj4Ca26vN4rZ5rstyf0x9FUKPLmtQP+6EfbALx1/Yi/89dfeOwzpaoK3WHIaBIWDucVNFVlWIjrFlruY2vENM35i3d2pxGuQ2+fL16e44M73akz89s32rx+ce7EOmZ9Svc4Q1OJ8gxT15lrllidLWFZ+mcy3PlFh6qqvHRuBtvSef92h5XZMkd9n4O+TxRJQuJM3SIXEEUJw0nKx/G0cyAToApAUZgEUpz94HYugN4oIIyrlGyDZvWkUPG4QTfy4kLIK+ORq1WT5dkyr16YRVWV6f5ofYT44OH98eE665Pi7u5wOjTPMsHdvdFUxPFgXRuEKRM/fqZFk69dnOPcah2Ri2f6Ok/x88XafIX3JhF+KF1XF1olFAWG4/vC6v4oIopT3rx2RJpmP5WjWibks27oAbWyxcJMSZ7bDA3T0NjrTPjRhxPqZYsP73b59mvLNGs2vWFIrWxOSeQPo+KavPbCLDtHE0xDmxpJfBzKrsmrF2aJEzmg+aTJPaf4ZCg7xunr/VOiVrZ49cLsidr0ozDbcBmMI0ZejGPrXFxrIJB9n6d1ItU06XR53Ks56gX300MFzLdKLGsqpqHyJ29so6oqKjAYBwxHkTwLZDAQOYklyRyGrvLCWh3Xlolq48KtO4hSzq/UOVgIqDgBZccgyXI6B2PyHIZehIJCJgSGqqApTEVluqrQqlr4sXxtrm8XbqRI4e93viz7FJapSQJklqPmcHOrPz17jrxo6k4kXWMt4lgmDtfKJrN1RyaS6QrjIObMUpU0lWSqLM8wDXlfV0rWlKxXdgzeutGmfRTQqtn86usrMmU4F9zc7k97LaqqcmmjxcSX6+/XXlzi/GqNKMlkT3GmzJ3dAaqqcGn95Bp3PHB9HExdnYpnT3GKU/x88De+dZb+JOK/+7c3+L//9++SZYK/9StnP+/LOsUpfi6Y+PFUwAHy3Pw4cqFpaKzMl9k5mqAqCmcWq498DchU0TNLn4yoo2sqX768QBinMql7q18kW5ioqkKUZMw3XEkumkTMNhzOFykfqgK1spw1rS/IOaoXSILWJEjoj0LmChHAUS9g4sdcXGtwa2fAYBxRdgy+/vICi7Nl3rx6SBBluLZO7ksyla5p1MsWQZThWBqNikXYlf0Yy9SouiYXN5rMN13a/YCzKzWyLCdNM0aevF4vCOkPQ2pli5Kt49rSIGumKt3Rb272qVcsJkFCFGfc3RtyeaOFrqnM1F2aFYvrm4PC2VzWbYamUi1ZlFyTesliOI4Z+UExa5Vi2bGXoKoxQz/i1fOzTHyZvHFuuTF9T0eedGWXdaZA1zReWG8URndy3lkvG/zZT7bpDkIunWly5UwLIeD77+1PHeonfsLL5x9/9vsoDP2YUUHmUxQ46E6e+LVhlEqX5OJ8+6DgSJqU3K9/zY8g0D6M2zuDaUMsijO2j8Zc3vjkJjYP97cenn8+73iQu5BlYtov/zR9vSTLeetmmzjJQAhKtsnZpeq031i2TcquSXcYYBau31kmuLM7ZLbhYugquiqJpbWSxaX1Br1RzFyzRBSn6LpM2/vBu3vkOdzZHWLokodwd3dAmMi0ijTLiZOM5ZkKpi5FEl6QkBapLLttj/22RxSnNGs2ZdekXrb55jeWyHKBbWo0qzZ/8fYupq7K+YKqoGtFT1STs1LL0GhUbPwwlaIMXcXQVa7e7WKbOt1hQLsf8MJKk72OL8ViSYauKcRZjpLIn6kIQRDmaMSoSNFMmgkURSGKU5ZmS3ztlUVUFDpDn9s7Q5pVm2rJwtAVmjWH3jAkTjP0VOEv3tpBKTgUQSSNOlRVQQi4vTtkcaYsZzDFa62rKqPi7NOqOVRLJmkmPjOX7e4wmD7feS4emUl9Hlidr+CHfZI0p1WzP7Hx0JPg2iYbiz97UmuzatMreCGWqbG+WMU2dUZezM3tAYddOZfzwhhFUXjt4hz1isl7t7qgSvFgvSKNDidBTJIKokSaq6pCkOVSIKGpytSVP81z0hDIZU+jVrYJgphRII0mvTCVAknTQFFkHbJ5MKQzCBmMQ1RFoVqycayUXAi2DkZ4YUIYJ4RxSqNiMVN3COOMIE5RFJX+JObMss2ocFVfX6zQH0dkGTSrFr/9gEC7XrmfNNOs2szUbfqjCF1XpwnCqqpwaaNBGMvUnafhgTwolvk8sLFYZaHpysSUj7kOVVW4vNH8RH/fKX5x4QcJ3VFAEGagyPQ9qxAo6ppC2dG5uNokSjMsXcO2NdYtnTiWImFVk2KHJBMYuo7r6KRZBoqCbcpUqGORbcnWWZuv0B4ErMyVGXsRu4cT4iwnyXJ2DieMCof7MEmn3DhVVbEMg1bNJs8FtbLJwkyJdj+Y1qtrC1XJd0xhtunK5Ik4RUGa2QVhIe5SYK87wTJ15lvy5zerFl7okKX5dG49LJL1ciFwbWP6nMw1XXYOJ/TGIaap8de/tIpj6wTFrObSWoOb2wOyXFCvWBwVYlSQc9QH0azYtEsBw0mMY+qPEHfv7o+m/z/2EjIhpmYvCvDB3e50Fro4U5oaZpUcg/OrdWlAXfSj00wwGIfSTNTUTvSYgyjlw7u96R68uT9kv9gfdo7GNKomzapDlsnXfn2hylzTLVJcNO7tjzjq+ei6TCbsj+R7KITc259FEUd7cD8x+Vjg/yxe5y8i4jQjTfOp2GnsP3/pD0fDR9Me/DjneZdEzrWev78gitITH48mj6akPOvQNZUXz7YIY8ld/bTJQKcijp8RHi7wLVNjabbM6nzlpxqYL86U+Q+++wL39oYcFQQmTZODwb2OT5ZmXL3bZ+jF/PD9A476Pn/rV87xv/17r7PbHrN75DH2Eg66PqqqIhAkWca7t7roqoIXJNza7jPXlCkQtYqDqsSUXI1caJRdg6OBR5ZCnuUsNFy+dGmO7cMJaZYxGEtne1VRqDoGlZLF2mIF25C3miQaCjYWaxx0PTRVklsFkAuVs4tVXi2cVS5vqNzbH00TK44GOmM/QVVV+uOQN6+2ubc35gsvzKKpKgvNEmsLFRRFoT3wp01rTVNpVB3pqCOg4hqPHGRMQ2OvLdX9uRBEccY4kBtNbxxNBRwgkygeRn8ccrtwTG33AxTuO8ucXa6xsVghzz+68ZVm+VTAATCcxPSG90lqaZpz2POnTWKlIAdrqoJVvL560Vx6EBXXZGWuzGHPnx7uf/zhwfTzYy9mpnayYVEpPbmhomky8jVKpBvzw8pkgG+8ssgb1w7JBbx+cfanJvL9LLA8WyaKpZNRo2rTqv3sXDI+LeIkm/5/mompwME0NM4u1dg5GqNpKi+s1vnB+wcIYHWhzN//rYu0arL4z3OBYx7Hjoaoqja9z7JcEMay4SKTAfKpO2iuKAy9mHdvdvjipTnKrsmvf3kN29AKp31J0G5WLXqjkJtbfe7sjrAMlbJr0htEfOnKAv/Dn9wgzXK2jiZsH45ZW6iSpDnNmoNpaKwvVAiijFu7fWbqDr1hwGCSkOcKFcegWjJpVGS6zntXO/hhxmEvo1G2MU1Nfr5ssr5YYWHGZbbhTBta/VFYpBsp0klEU/BCqXzUNGV6IPooEd3Dr/XZTyBqSNKczYMRaZoz33J/6njenzWiOJ2SaEC6DJx6Fj49VE0OBE0tp1qypmv0QqskG6RZjqkpmIbK6nyFWtlG18bS6a1waq+VDeoVh0tnZmj3/aK5HLNz5JELwU8+OGToxZQdg+ubA77z5VVW5yqszJV5706bd2+2ARmvnOVi6q7hBemUFBpEKWvzFXRd5dq9fiEwyYmSrBCi2MRpxlHfZ/vApz8KGfmxHKSauoy9bzjM1l1aNSlIma07rM5XyHLBcBJxZqnGxlKV3jDk3v4IPKaRn2XH4MM7XUZBTBxnrM7LhurjyGzHg5B2P6A7DFBVECi0i2ZJyTYwNBUvSFidq+CHCbatM1d3efHcDNfvdbmxPSBJMixT4+zy/ee3UjKZb7p0hwE3dscEUYIXJgjgy5dnSTNZuwFFTLSK6xhTJwrDUE+IMm1T52986yxpmk/3vDu79xszuZDDxMeJODRVwQtjojQnzWQjydDlfn1mqfaRdeOD+0ScZNOY+WMIBGXX5MuXFnj/Thtd1/jGy4tP/HkfhXMrNe7ujTANdVrjlF1DOjif4mOhqgovrDXQdZWDtsfdvSG5ECRZznFStqGrOKbOSE1Rc6ZCjod0llOkGWiqoF62yLIcy7TI84AwzsgLh7gkzemPIpZmS4Rxyl57gm1JAVi1ZLI8V2Y4kcTJxZZLdxRRdkwubTQ/kWPh+mKVO7tDojhjvuUy8WO2D8a4js7q3Cc//5Tdk/vyg+4XlqlNI4OPnciedVRdk84g4Nq9HpapsTZfeW6ifU/xs4FrG3zp0jyaokqXJmSSYpblU0coRVX43rt73NsfkaQC01BJsuyjfuxjoSAd45WCpPXy+Rlmas6Jfaw3DNCL51Q25kN+5xtnTuxrT8LGUo21heonfs517XTA+PPE6ev90+O4Nn0aaKrCpY3m1H300/0+jZJj8IN399F1mebRHd1PibywUmdptoyqKtza6rN9OCHJMsIovf87FUnOcmydNJNDTOlwJx2rx340rW/v7o6Yb7nTpN6fXDvgoBsghHTKG/sRQiiIwjUvj+Ra5dgGSQ4IKUAPw4xM5IB03X35/Ax5LoeM//Iv7tDpB9NEjWrZmqZ71koWmqagaSrNqs2VMy3SVKaRbB+N0VWZwjkYh9QrNkKIwvlZY6c9oV6x+I2vrk5fn8O+D0ImF6qqwt39ES+fk6TEyxsteiOZmDhTc/jmF5Y5fmuPE/bc4nlZnCkx33RRFD5WvHOKU5zi88d/+JuXiJOcf/Gnt/ivfu894iTj33/ADf4Up/hFxbFz63FP6Lin9TgszZRZaJZ+JnubqirYpsab1464eq+HoWmcW6lxeaPJJEjQNZVvvbpM1TXRNJWtgzEbSzWubfanhCO1mFNeWm9w7V6PNMtZnitNe4e6rmKaOouzZf72t8+TphmqpnJpY4bBOMQs5hMlR/b+GhWLSkk6ch/0POJYcNQPGXnSwdsPpdj02MHaC2MOOoXxlKIw03TRir/LtQ3OLNX4lVeXqJUt3rrRZuzHvHX9kM4wJIpl6ndWpILd3hni2JKoblgmcy2XVtWapn8kWY6hq2hI4cPW4Ygsk2YyAFGcI4qm0I3NPt/+wkrhvm9NRS0AS7Nl7uyOpAjVkD2TOMl59cLstB79ox9t8ua1IwBu7Q4o2TLdLH0g0nWvM/lUIo6qa5ALQZzK2bBjPnm+OPZPOqsPJtFUxOHaOl99cYF3b3bQdJWvvfT0Pcyya0L3PpGr4nw6AtfSbJmwmBvWKxYz9Wd7pvNJ8fDacPzxw3298lOY9oRFvz8r0i3KrsHKfIXOIMCxdNYXyuweyfTRMMopFzO4SkGuq5Utzi7XEEIKGGbqLhtL9ens8YM7XcZ+zH7HQy2ECcdnHctUCeNMrnmKnJNrqjxLyGSfmL2Ox60d+TdFaYqiqqSZnMU4pnaCIL08W+bvffci/+yfv81+x2fsxaSZzavnZ9g6HJOmOXMteSa4sdnjaBBQdU3CKCWKU+abJRxbZxIkdAYB51bqKOTsHPnkOagolB2NkmsxHEeEcUySSdG6qii0+wHVkiS1f/XFxelrdG6lxtJMmXdvdhh5EV++Mo+mqYx9mYA48WM6g5B6xUJRFfqjmDTLqRwTbR1DkueDhJItzZgURaH+QLKkoWsYnyFb6HH8mM8brm3ItKif4nz+eeJ4rvDg9Q/GIf/mr7bojwPyTDDyE9I0Z3Whwod3e6RpJu8vFFxLI1ZVQkWgxzqZyGXqjK4CkntgaLLfIcVRhbBDgTQXJHFOlsn+oK4o06Qc29BwTA1FVRh4EWEs5wslW+fmzgBTV0GojIOUuDBidSwDBVieK/M73zpLt+/z5vUjDrselqmTJjllx0DkgoVmmb//m5eYqbrYTzBIBdnvemHt8f0XRVE+M4HSzwv2J7je5/HvO8XPBo5loCoyoRbAMTWCKCOKUzJNZbZuc9AL6A1DmlWLC2tzdIcRsZFSdg3++MdbDAoD1E5vTJLmaJqKgpxvD8YRkyDGMDRU1WUSpCBgMI65vTPgoO+RC+nOXykFqEV0jl4IlhXkHl0tGRx0ZL3WG8p0ni9fWZg+v7d2BjiWQZ7nGIbG116a56gfoqkKhz2bd261i8QghXr5ZI329ZcXadwbMPEjzizXuLE1IEoyhBBYpk7FNdjveEWt4LK+VGUlKaPpKpkQbO6POOz5nFmq8Y2XF3FsgyhJmW+67B5509+TpoLlOSk+MXSNlbkSpSLpV1XVR/hAZcegV/BvLEvjpZUmb1w9kgL4K/Pc2RtJc05TxzZUXnnh0f3quB99c7s3TQsejENeOT87/bqRF59ML1IUyo5BGKeUHZM4zqaGNmM/5oX1Ogdd+bNW5spsLFZZK7is3WEwFXHAs7GXPw6WoRFG8rU95nKc4ueDetlmtuHQH4WSr7zweHOIZxlzjznnPbyuPI8wtefPfLVetTnq3597rXxMGtmzClVVfmrx+mlV9zPCQqtEmuVMikZPqyYbap/V4XBtoYqiKPhhSqNqsdAqkeeCt693yBA0yjZhnHJ7d0iUZNzZGU6d41o1KdC4vTPg5s4ARM724RhTUyWRDCgFOqah89KZBn/+ziGdgXRyadYsto8mdAYhUZxScS2qZenKnaQpYTwkzwXtQcDNnSGupTPxI1RV5cJaQzqTo2DoKmeXaxz2Jri2SZLJRsX1rR7+H13noOvjWjp/41tn+HvfvciPPzxktuFye3fAQdeTLjpCcH2zz2gSsTQrm0GHPQ+QqSC6Lp24F2dKhFHK1sGYXAh2Dsfc2B6wNFPi7HJt2vzVNJWSI9MJDE0jKoiR1ZKFrqskSYaiKI9NqDgulo7hhQnD7ZB3b3XQNJVvvLw4VdQ+CccJAse/V5JqbDpFMaUoTIUGZdfk26+t8MHtDiVHJxdw1Pf54qW5xzbel2bLLM3eJ1k2qva0SLNMjS9eXEDXNHqjiIWWy/mVJ0ddRUnGytz9RdMP00cWopX5yjO/sMpD/bMd6XV+tc6t7QFDL0YTsLk/5sKadJCfqTu0ajaKorB9OGZ1ThKoXVuX5M0HivuluVJBhpAxgXMNG8MwUBRBreRiWzqzDRmdnaTyPteQg4TrWz22jkbM1hz2ux5nlqr8+MND/DDhlQuz/OprK6wtVNk9mtAZhqRpzlvXDonSnDev7hHGAqEoCCGbPJqqotuSWH6ser98pkUmBEc9nyjJyPMcUFE1KZD6ybVD+qOQJMvJhBxGBXFGq+5gmRoLjRJhlHFnd4ht6iy2SizNlLi7N5SxrlEyTRgoOwaaqnBxrcFOWzqOrX3MvTpTd6ZRrCDjgO/uybVuZa48Xd8fxt29IYOCEDP2Y14+P/PUrqvAU5HmPkuYhoZekP6Bp2rUn+I+BqOAg55HksjhQaNiUS5p5Mh1c3muzGsX51iakYJOQ1e5sFqXQwhNOkjEiXwO5CFb8MbVQ6Iko1GxqJct4kS6yCVpRrsf8MbVQxZbZekikStUXZMgTlloOmiq3Ecs08AyVYIwJUpyusOAWzsDmhWLzjBkruHSGYZ4foKmKHxwt4dr69zc6ZOlck3xgxRdVbFNjVzkDMcxJUen3Q+JkpR/9f07/OH37/LXv7zKt15dYftwzO//5R26w5DFVolm1Wa3IFZd2+xxZ2dI2TWI0wwvTJhvlrhYRCy+c7PNjc0upimj15MsZ2t/BCj0xyGLMyVqJZO9js+ZpSpLhVNYo2rzd379hROkcxnpLBsWQZTy7q0OkyJhxrV0vnRlnoOOx27bw9AlidYyddJcYXWuRLPmUHFNFloutqlz5WwTXVdJ04ySa3JrZ0h/EnNuuTYlYz9Y5y20StzZHU4/fnAffhBxkrNWiFlGnkw+mqk7rC18NPFd11VeOitjagVwdqlGs2LzxYtzfHivi6oovPrCHAAXNxpc3Pjp9ryya/Ly+RmEENzbHzGcRM9lJOPnjaWWy71if7AMSc6c+DGGoRJGaSGsOvk9hqEQJ4934E8SwdbhiEbFASGolk2cJMOPMpnuUzIpORrbh1JMOddwZN0mBBtLNZZnyyy2SmwfjZn4CS+em3liFHieC+7uDRn7MWXX5OwDIiPblFG1INPDjuOBx36MqigfG//9MKRbQUZnEDLfck/cv2eWamwejEiSXD6fz8GgwguS++tB0e89Tbs6haapXNxosPtATZoLwfbhWJoc5IJ3bhxxY7PH0AsRgKlDnH7cTz6J458VxilLMyVELjANmTA1nETsdyccDUL8IGFtQcU2dWaK+vZpa9HncQj+PKAzCNg9mqBpCmeXa49tAD6vJIRfFvw0700Yp7xzs41pSPGCH0thcm8YcmGtwTiI+b0/vYVpaui6TLaM44xKycKLUrJUkqGswpHx+FIaFZM4EZRsg/3uhPdvd8lyQbNq88a1QyZBglOkZqSZQAhBJgRlWyfPBXqRGOia8geapsL7tzvS8drSsQ2FKJVVYsU1+L/8v96iPw6ZbdiEcYKhK6iKQhQLvCCRpC1V4ZtfWGLip9iWxhcvzdIZRHhhwsWNEhuLVW5uDyk5Or/zzXXeudkljDIubTRO7Kd+mPD+7Q5ZJhhOQgaTiDBKMXSNzoMJtbrKr75+X/AxnERsHkgB9vpC9ZHkrNNn7BSneH6gKAr/yd+8gmmo/Hf/9gb/zR98yFHf53/xP375VMx4il9o2JYuU7W6PoYh0yw+Cp/13iaEYPNgzGAcst/xaA/kvtsZ+jSrFl97aZGZulPs1d3p93lBih+eJPVP/BhNU+mNI2YbLrMNlytnGrx/u0sYZzI98E6HVs0miFOGY2lc4ZgasaXzw/f2OewFZHmOoiisLlRZW6hy1PM56PnkZIz8iOEkZrau06zagDTeadUctg9HdIch7b5Hmgv6kwBVlX3z9YUyhq5yd38kndxFxg/e3+fGvV4hMIWkcNRXEFRLFhuNCn6YkiOol01GXkKai8LsR+OFtYY02opTFCBJBa6t4pgqu0KgoaDpClGU8eMPD6hXbM6t1nnrRpu7uwNKjknNNVgrkp7LriTx3djq8+qFWXRN4e7ekLdvtJn4ceFMrLDbnnBhrYmiKNPE9oeNzj6uRjqGpqmcW6lze3uAYWicW3kyiafk6CfcSh5OZz6/2uD86ifvYb5+aZ48FwwnMWsLn34++TzMDX8aLDRLpKk0faqVzels68G+3tOgMwjYOhwRxSmtmo2ha8w2XFbnK9Me4PbhmCtnW1w60+DWjpynXdpoTH/P8VwujDJadXva1z9en/zCfM4PE7YOxwghmPgxjqXz2sUZOgP5HC8aGvWKzep8mStnW9zdHRHGKf2x5DFIQ0zB2I+J4hTb1KcpQMcIopQ7u0OuFuk1uZCpwC+fn2F9USaXzzVd/vytXRQU4iSbGiciBHf2hjQrFnf3hvSGAZomTfMURSEXOSIHP8qwLYFtSYE9qkIYZewdeTRqNstzJZZmyigKZFnGcBKxdTjhrz7YZzRJsE0NQ1OpVSzGXsxwEk1Jnb2RTD548VyLkReR54ILaw1mazZ7HZ/F2TJemGKaKhXXojMMUFSF5SfMKz4KHze3nG+6JGnO2I+plmSi/LOC5/1c9+D1/7s3dxiMQ3aOJgzGEa6tU69Y5HlOECWAIE1T+qOQcRCjKQUHSAiyXMh5n6ETkYKikOU5eSIwdY00zUnzHF2VZ3fDkETuwSRi4qfS4MzSuLxRZxJCnKTkGRyMJ/TGAZahc265Tpxk3DsYoSmS46IqUlDTrNn81tc3uLTW4J6hIVC4sdVjNIkZeTHjIGa27jD0Iv74x9uUHfk933plmUkg1wNVVVifr1At9qU4zjB/DiTjJM25vTsgjFJaNecTzzxOcYqfGRRZw2wfjlEUhddfmKVSMqgUZmlBnKMqChXXQFVVjno+17cHBGHKylyZSZjgBwkCgW1IY+fBWH5PvWRxd3/IXntCyTEJw5T9rkeUZDimzvbRiO2DMZkQVFyTcyu1qYjD0FW+/tIiO+0xlmHQqJn4waMmVcfr27e/sMyPPjwgTnJePNtiea7C8pysKwfjCt9/d5/9jodlaXznK6sszZYYjiOqZYuVuTJnluoMxxE77Qmb+0Pu7A1RFZVzK1VmarY0vwPiTFAvyQQ9y9S4ca/Hrb0RcZzx9o0jyo7GV15cml5fdxhOxQK2pZ1IamtWHVAUBuOIkmM8Ml/90qU5/tUP7hEnOV+8NE+O4PVL84Csp25u9xFFivrtvRGvvDD3yH513P9/0BA6TmTyiaXKta9kn6yxl+cqPHDEYrYuU02yTJ5Jbm0PMQvhuBckvHZxbvq1rZpDFGcMJjLxsFV1uL7ZI/gZrH1jP+be3ohcCNbmK4/lYj4JZ5drbB6M78+KPwEP6xQ/HWxL58tXFjic9h+ePxFHdxA88m8jL2LGfHZq10+DjPzjv+gZw7deXeZf/vlt0hxMUz2Rvva84aed156uYj8jqKrC2s9woVJVhfWHoo7PrzZYaJXY606m7rSupfPG1QN+/MEBYz9BU1VevdAizWTRNSoO+WkqCKNEFniqQhCn7Hd9do7GJElGtWwAUjSxfTAhzTPiRCCQ/MijgXTSi5McgUDTZIWwdTiUAhFTZb/j8cXLc7IpoMC1e33u7kn3a0OXA+IoyXjj6iGWqVF2TP7w+/f4u3/9BZk+4Rq8fnGO9293ePdWhyiWyv1JkLDX9Vhswp3dDFVVmG+5HHQ81herlDzp1L1zNGYwkS6DZxarVF2Te/sjLq03AXjlfJORF5Hl0iXnhTX5766t8+KZJn/1wQG2pfHquUedaOoVi/2uNy2KDE3lX//wHoNJhIrCxE/4D3/r0ke+p4qicHGjwUHXZxLE02H24oyLoWucWaqdIIsrCjTrDnd2h8w3XUq2wW7bY75Z+thF4a+9vsq7t9qkWc5LZ1vYts5Xn9LVpl62GBVKbFVVTonenzFEkQSjaSqX15vYhsaH93o0KjZhLIUKL55tsdeesNOeoKkKIhfUyhYjP6I/DvmTN3doVW28MCGOc+7uD8hSQcUxMWsaGwsVmjUHgXwP7+wMWZkro6ky8cMyNA77PiNfkonzwp3mD79/l8EoxLF1zi3V+cG7eyAEV+91sS2Nkq3TH0dMfHnI62VCHvaKeD9DU3FtjXOrdcIwY78zQRFwa2dAECYc9XxGXoJrGbRqDjtHYwQKAkFaiEsURUFTFOYaDvOtEoamcGdfijcaVYuya+IHCdc3++iaimFoLJZNrpxtSXFH0ZQsu+b02f+kuL09mIqt7uwOixjjR5uW4QMMOyHk+mg/hQFUHKf88Rs7dIcB9YrFr39p7YRT8s8KuqZyaaPBYc9H11SWZh5P4j3F4/Hu7R5xkpNngkxAdxQSpTkK8NK5FqahsTxT5sIDQ6Ba2UIIQRgnHHQD4kTug+/f6XJvb0iS5eiawuaBHDzEqdy7oyRDAK5l4IUJt3eHnF2p4TqGjElNc8ZehKLK4eLKbJUkHVKydbrDkOEkolmx8YKEkRnJmNVhQGcgY75XF6pEkSRPl12Detni4kZj2pBpD3wmQcL51Tr/7z++LuO4NUmQuHKmyV++s0uWCfJc8OG9Hl+9MleItnTafZ8glgOD4SRmeU6hUbHZPBjRqFj8/l/epj+SgrKNxRrnVupsHkjieX8U0R2GbCxVsQ2ZWDDXcliefXyzwDJ1amWLLBcc9jziOKc3CLi5PWBltkyUZJiGSsk2OOhOUBQVVREsNBwqJYsvXZ4/IQo5v9KgN4yY+DFl25QOQ+OI3faEpdkyN7b6THwZcXpxvcGvfGEZgIOux/mV+hMHYfWKNW28NKo2L5+b+dio5GP87V89yzs3OgjgpfMz6LpGrWrK+gyZlvRZo92X0fAAvSTEtrQT4s5TfDR22x6ubbC2WOHW9oCJn8hElUDG3Ifho4fr42H645ADfpCRph6tmhQdhlFGNgwoWTq6pgAKd3YHCAFbh2MsQ2O3PSHJcs6v1EmznNEkJohkjPpcw31sLXnU9+kWIuDeMMS19alT5YMIHoq9fDDl6WmhqipfvrLw2M8Zusr5lfon/pmfJ8KHWPfHDd9TnKLymJr0YvHxtXs9PrzbozsISfNcirmevBw8EaoChqYQxxn/+of3aDVcoijD0FW6o5AgTDm7XKPimvhhyq9/ae2ZF+T/MiBOMu7sDeV7nsDt3eE0RQAkWf36Zp8kzZltOKfCsF8gZFlOnOb4QcJgHDHyY9RCOGsYGlGc8sHtDrd2NFzLwI9SfvzBAUkqrTLDOMPQFdJUoCKoV+SzneU5FQ28QJ45kjTn3v6IqEj/ubM3hDwDRSVOUuJY9tcEMllk4kcIVFQlxSmS40AO22SSj4IfJkVinYGiQBjn7LZlmu2t7SFJIp2yVVWhbOuYusbEj1meL3NxvTl15R5OQt68dkgUZwzHEd98dYmVOZkmqGsqv/bFxw9Tbu8Mp3VIZxTi+bEkpMRpURM9ijwX3NweTMmjt3YGvH7x8QYppzjFKZ4PKIrC//S3LuNaBv/NH3zAH37/HtuHE/53/9EXn/mU3FOc4qdBo2p/ItLLZ4nOIOSoJ11124OAsZ9QK5k0KjbNmkXJMUizHMvUsUyNKM6Ik4xq2aTsGCeMhWpli84goGQbhFGCqghm6i7f+UqZa5uS5OkFKTtHbSqOhaLC1Xs9+uOIg47Hh5s9oiijWjKZb5V48WwLBYV7eyN0VS1IZbLGSYvk85W5MudW6riWjqFrDL2YSZAQJhljTxr1nVuucdQPsS2DO7sDvvfOnuyneDGKouCFiUxM1aQbsqIolF1pwFYpWXx4t8vm/hBNVzF1lXPLNRzb4Ppmj7mGi2noqIoUk6RpTohM9YzSHFWBOMvZOfLYPppw0PUwdY1cCLYOx4Rhxvm1OutLVRCQZtI9OUkzeqOEdj+gVXM46gfkIiYviGJRnPLt15a4tz+i4pq8fH52+p4K8XQ1UncYcPVuj722x2wxp0w/ouXh2gYX1xr0RiGWqbH4BCORTwpTV/nGK0sf/4W/5PgsuAvHZ1UFlStnWrT7PhfWGlMzoTwX3NoZsN/xOOx5LM9WeGG1wfnVeiGaktA0dXqOTbOcMJKpOMf3WL1s0RsG9McRmqrSHhRJK1HGv/nRDjNVm7PLNTaW6nztpYWpyEhXVYI4ZeInhHFKmubkSFF6yTHww4Q//P4mX3t5kfMrdTkj3R0WM3kIk6xIDVCkuVyaE6cZP756iB+mmLpKnsujepzmHPQ9wiQnyTKi4iw2CRJKlo5RGHHIaY7CqDg7WaZBFKeEcYofayjjiFbVplm1uLbZ50/e3KI3DFmZKbNZENYbFYu3bhzxq6+vYpk6qqqgKDJFJEwSQKFZsZmtOzRrNudX6lNDGUNTubzRJMsFmqoQJzm7RxMqrkm1SP3ww5gkFU8UawH88P19bu0MMA2Nb39h+bFGQMqnMPM5xSeHHybkQooxFBQaZZvuIGD7QJ6/LVMlSQVemCIEMi1TgSTJSHO5C4riPVdRCgNFgaqkpDmoquwDWKZGtWRy0AtIEnnWTtIc1THwIsHybIksFySpFEgC2IZKs2ZTK5m4tsGNrR5mLE3mTFNjZa7M7Z0RIy/h7HKVRsViaaZM2YlRVK9wU9cI45Sxl9Cq29zaHXLYDZhtONimzm57wge3u6wtlHnz+hF+kLI6X+F/8p0LaNrPTsyxczSecmT2Ox5l1zg9X5zimYDvhbx7s01cJKy9d6fDf/LiIv1xiKGppHlOdxAUn8+4eq8vnzVdozsISJIMFFCQ4sOJn8s+IwrtoQ8KRElOnIQEUUIUS+MXw1DpDgJp0gpMvIT5hoOu64gc1hbK7B55TPyUUM+5uNEgLmdM/ATb1Dm7fLKfXXZNvvbSAnGSU3/o2dI0aRJt6Cq2ZVCv2oy8GC+UYrStgzH/8i9uc9D1Cp7RhDDKMA3B1sGYOM0ZjiJUTSXLM3aPfAaTSJrnINNGhBAEUcob14547eICWZZjWzqX1pts7o8QSLHisYldnMje6qWN5mNnpQCH/YBLG5If4McyweSYV+SFKa2qg1/MZh9Os/LDhBtbfeIkZ6buUCtbUwNZx9Zl4tEDr9355RqHPZ9qyWRptixnS8OAlbkKmqawezQhzwWOpRM/ULAnac7d3SHtYTAVND9oEn13b8jwwbXPMT6zc+et7UFxr8n5x2slc2qc+XEwdO25mxX/IqFRsXAtHU17+vTyZwnxY3gQ9mcZT/c5odvzPv6LnjFEcYZrGyRphmMZtPv+x3/TMwY5Y+oznEjTgYvrjafmez2I5/8OPMUJlByDX/3CEm/f7BImKY2KxR/9aIs0yyk75lQo0e4HjLwIL0iwLZlqIclagjQTDEeRjPhUBUkmGHoJupphW1rR2FTQNKls741CSo6BoasYuiSgCQGjSczET9A1hThV2et4/Kpr0h2GdIYhSZrRrNlMgnjqhBXGOV6QTNWrQZyyuT+aNnD3Ox7nVmp8eLdLhELJkfHFWS4ouwZBlCJQpq6ih11POgoWBPg8F2RZTlo0Hh+MCv7OVzZoVG36o4gXz7am7qN+mHBnd4Rt6ijAta0+33zIOaLimlzeaDL2pJNNlKTTAipHcNR/uoXSNnU2Fqu8c6ONgiSsV1yLVy6cdPAPopSdwzGdYcBgHKIocGaxRp6Lguj30cNm19YfiSKOkgw/TKZpII6pP+JsfNjzSdKcjcUqaZZTr1jPhfvx84LjxvhgHKEoMoljYaZM74G4ujTLiZKMnSPZiMkyAYpg5Mfsd3wqrk6SZLx9s43IBYd9D1VREQiiJGOmZlN2raJZmWKbKhuLVToDn4prcmd3RHcUkBUKQVWVFhnjoqmfZlJkstfzmK+7fHCni8ihO4oouQYTP0FRJMEszXMsQ0PXNfIspeTIxuK1uz322hOCOKdeNri43mKnPcG2dMIkI4hTglA6UimIIg5ZZaZuk6aCxZkSl9YazLZKXLvXQ1Oky6eqKBx2PUSeM5xIYnrZ1plpuJxdqjPbeHxixtMiSaVozI9TtKKRLAQyapZHC9PZusv24RiQB6nSUwqePrwnD1QgD4wf3Ok8kcj6WeM4Ev4UnxzHTjLZAy4HIO+PPBe0qpZ0u+5MWCwO8n/+1g5bB2OCSDpfVVyTsR9TsnXipEivMTS8QDojnFms4EcpM3WX8SRG11W8MGHncEwYpdze7jMOZcR4q+pgGhqdfkipJN34gijFCxOqJQtVVViaKRElGVku994wyZgEKUIISfpS5d+V5TlLsy79USydHdKco35AmuYMRhGapiBUGE5i3r/RLfYSmRqkKLC2WMV1TLJM7sejSYwQFA4eJn6YcG9/RJJmbO6P0TSFKM7ZPBizsVRFVRTyXBRrikqeCQ5GAfPNEqILjYr9WGfqs8t1OoOA7jBEV1W8IObdrlxrZms2mwdjFlou800XP05kZLSmMtcsUXIMdo4mXNq4T6yVQ5ESvbEOQq6/qi7jow97Pp1+wNCLqZVMbqnS5eJYyPFRWJ4tYxcD7GbVfqqC/ng9ciydrz8woAzjlA/u9KgVkeg/uX40JQMfoz8KGXkx85/SlSJ9KCYizT4Fo/iXGGmWTyOI00w6paiqWgxB5PDtYZJ28jGu+wLp1ChywWgSM1N3mak7TIKYV87PkmVCfl7kjP2ERsVipi6FUb3ifjgmPA4nMZ1BwFzzUXJkkj703qePd3NoVG322p68VxRoPSaS9GlwXJuWbONTHXSfJVRL1onEvQcTvk5xiidB1xW8ICYtaglRDFE/qZBDVWTNmqaC4STBMmP8SA5CbUsjzXLu7A05t1yj5BostJ4Pp5ksF4y9GLMgjP+iIc3yE+/1w2vu1sF4ui63+wHNqv2RZItTPB8IopQfvL9Huxcw17TJslymwqIwCZNpKp8XJJRsHXdO3vtRkpIVok8/TEiTHMfWiyFkRqtukGYK5FKUqSAHXYoiHaDzPEfXIExBKAIlhzQHDXm2zzOB4eiyhi8EGHnRd6o6Jl6UFi5DUHUMZlslVEXhoCtTBvOiUWhbOmXXRFUkGSTNJYlj7MXc2urLlA9FEiOORaB39oZkeY5jGaiqwoVV6ejphynLs+UTLrDJA3VqyTZ46WyLkZ9SLRksz1UY+zF5LqiWzCk57Dit6BhZJhCyDXGKU5ziOce/92vnWZkr809/9w3eu93hP/sv/4T/1d95lW+eknxPcYrPDGmWM/ETJkE8/bdGRYowsqIXPp7EvHOjjV6kEl/eaPDG1SPGXkycygTiK2eb9IYhpiHTabcPx4y9mDTLOewFhHFK2TFJ05z2IKA/CumNQhQEfpQVqWMK793ukCY5WS4kqctPWJ6tsH0ke/TlkiEdvBWFkqNTdg3OrUgTmcE44q3rR8SJdMCP03za+0+ynJEfM9OQhmvfe2eXJBNTErehKhR6EDRVJc0yapUS840SYZKx0x5ze3dAlgkMAUmSkwuolUwMTRr2ydleRm8UoaoKtqmxsVSlMwxRkQ7oxyYfRz2fxVYJP0yJkxzDUGTtpMgZo1k4KNumNN0CmXjq2hr7HY8Lqw2aVYe9tsfljSZr8zIhQ3uAyDLxE0ZejGtLcUmWCele/ECNJIq0glwIZmo2fpQyW3eYqdmM/JjeMCgSYU86W9XK1hPPLkLI905TlRPmOqd4dpDl9w0mamWLVt3h9Qfcm7vDkME4wrF05pslNE3h4nrjse/5tXtdbm72cUsGFceiVjZ5Ya2BoiicX6mzZ+lUSyb1isVR3yfLBJ4foqgKokiUee3iPNuH4yLtWHIe6mWLmbrNfsdH01WSMCVOBSJIURQ46Hkc9T2aVZuZujPtd19cq3Nrd8BwElMpGQwnEbqm0hn6RV9GMPYSFA20IsUmzxWCMCbJIMtT0kwhywVRqlArWQRRRpRKI40gTmmULCxLR1FyDMNkpmahaRqaqnBpvcn/9Z+/TZbJte2tW210VcUwVEkWd20cW4cwZW2+Qtk1WJ2vUHIMPrzTm/Zij/kNrZpNdxggBGiaXFfCB8x2jv/uq/e6vHntCARsLFX51quPzjQOez63tgeA5Ia8cfWQv/mts5/JPXWKj8ZhzydOMhZbpen5d2Ohyru3OuiagmPr0pix2LtMQ8M0VLJcYFkanp9P3dl1jWkKeJIK8hwUVRwH2pPmCqoKuiKwLJ2lmQqqkhHHGcePvsjBtTUcSyeMM86t1Ng+GEszwzgjNnNG41ie1zWFZtVmtz1hoemyMFuWM7tByEHPY+zH/MqrywghzWxKto4fpohckAO1islgEoGAMErY7+ZUXYM4kcaP339vX3KdTJ3twzE/fP+AF8/OUHGNpyYBfxI8Oh85nY2d4tlA308I42Raj4ZJzpcvz09Fswcdj2t3pfAgzXJMQ6XdD8gFWIbK2nyF/Y7c62bqNtvtMZoq14MkyaTAMc7QdAVDV7BNnSjOcAy5rwiQ3CCRY2jqdC4thJiKBVRFiiN/7UtrjCYRrm3IZLsHcGu7zw8/OAABq/Nlvv3aCiMvRlUVesMQRbkvRr21NeDsch2QSRJ/+ua2TL/LmZomZ0LIGWyUsn80KURs8lmulgxKlhSY98bhtBefKyBywds3jhBCGjG69v2aWgCZEARhiqEpJI8xYh2MZTrwQqt0oqevF+K4uDDUubBWJ01zmewF0xQjr5iLbh+Op1/bGQScX61TLZkIAbMN54S4Ostytg/HdEcRg0kk0/tWaizNlig7BmMvxg8TklTQqFpUSgaDsTzD2aY2TVJM05zN/REvnr1vTPnw2pdkj58Nfxo8yDk47iE/39PgXw48jtf4vIkaB93kkX/b7Xe4WH6+e4Z++Ojf9azjoOvL2ZaikOQ5+93nT8TRGQRTsVsQpey2J5+Kd3nKvv4FQpxIQUWSCVbmy7x/u0s7C4gTGVvpWJIAJXJo92WksYzzBF1TsC2DOJFEUU1XyZKM9AHSWJoJwihDIMhSqdq3DI2DrodAsLFYw9Q1qiWd3li6aGfSCJA8l6rVv3h7lzTNpUMEMNcs0R9FlB2dKMlYnSsTxjkgUBT4yuUFxEMslZW5Cv/Rb1/h3v6QMEqxLYP9rkfVNXGsFFVVuL0z4KDr0x9HlA7HfOcr66wvVPHDhLJjYptyMLz0UFToFy89SpT2w4SxLx82ISiiVx9FxZUE3CjJGHrxlIwLPOJsMvZl0ka1cCF4GA//zY+Q+ZKMt663GfkxfpgSxRlnFmvMt9xPdSid+DHXNvvEccZue8LibAmriHI+bqy9feNoGnU9U3f4ja+uoarPn6LyWcbIi6fiHyFg92jCi2db1CuFqlqBpZkyvWHAYBxNmxD9cYxtaFiGysRP8MMRIz/C1GWzQ1Xuu2cqhXvMfkdGrGqawsZSDVVVKJk6rq0xGCs4lo6uKmiaMm3ETHyZ1hNEOZUkQ9PkgcAyNVaKe2ax6fLnb+9KERhSWJbnOUGS4XcDgiiTTV5kUR4nGRc3CleNSJLHTUPDMDXmmy6DSYyhymbw4kyJsZ/gWAZxmtGsSPHUaBLRG0f0JxHdUcj1ez26w5BcCFo1hwtrDRqfwo1+OIkIopR62QKFaRN07MVYhopjGbRq9hNJ0IszJcpFM6letk4MQT4KDxuun7aAng989aVFfvje/rRB4tg6hqaSCMH24Yhrmz3OLtWpbvY5v1rn4lqDrYPx9Ps390dcOdOSiTPA2nyZD+/Je8421GnE6dnlMn/9y2u8c7NNfxRyfatPpqn86MND9roetZJFlgnGQUJdk85to3FCfxzIPdo1QYFc5Fy91yPNBHvtCaoqh3zzLZdqyaJWMonSTLpK5YJOP6JeseiOpAt/FCfc3g3RNZUcMSU+3d4f0BuFVEsWJdvglQuzrC/UWJ2rMphELM+W+MF7+xz1fTYWqsw1Xfa7Ho2KxWAUFsNRWTvI5y2hWjZZma9gmTrNqi0d7RXp6pRmOQdd/xG3DpCkVcc2qGY5hz0FlKLJLOQum+Vi+pyvzFaYbTjsFgI5kGT2w55Ps2ph6BrdYcjIS1CAcRAjRI6maSy0XO7sDvjR1UOyLMePUq5sNBl5CXNNl42HktMehweTtj4OYZxO1yNVVbi03jg51PyIRePu3pDvvbsHQqa1/dY3znzipJ+ZusNR3ydOcnRNZe6nFMj9smGhVZIujcg91tDUIoVL1n+fli8oBAy8WDZVC/F22TU4t1znqO8zGEfMNyukeU7JNrAMjeEkojsMTkT/wpNvodmGQ2cQkKQ5uq4y13g80dsyNF461yrOH/qnIld7QcLVez3yXCb8XTnTwnmOhcOGrnLlbIuRF2GZ+mmS3SmeCl4g0528IKXQSPO0/XFFAUtXiIuBbIag5GhUyiZRQRgSCHRNJVGP1x6F5dnyE/fVZwlZLrh6t4sfyobFxlL1iWvS8wrXNmhULfqFoP/h3sVHhDSd4jnGjz7Y59/+cKtwSJVi31rZkqJmkbNTOKZZusL6QkGUUuDFszPc3JHOZY6p0R1mMPX3EPTHIXkuB7NRnKGo6rQvN/Kigsyhoqq5PM8oAr2ot+XZQWAZ0gBG1xTGQTodFJYcg9SLiJIcy1Rp1JzC4RpW5krc258Uztsqv/alZbJMQdNUjnqedMBOcxRF4bDvszxbQQhJ/JLGENK0YlL0AfJc8Jfv7E6fi0bF4je/tjElsizPltncHwGwvlAhSvIi6VQhTjOu3u3J76taXFiVCYlakeZ7WAwHFmc+Pt32FKc4xfODr7y4wD/933ybf/q7b3J3b8T/8b/9MV9/eZH/9G+9+Fj36FOc4hRPjzTL+eBOlyiWBjFZKg1YJkEie/ZejGVq7HV9TCNibb7CXttjea4sU3P7PmGccdjz+dvfPnei3jUNbUrocSyd0SSm7JjMNV3eudlm5EVsHcgU47n6/TRR+9idXgWEQNOlw35epJ/f2R0SpxkVx6RZc1AVmTTf7vlcu9dj52hCkqTkeY6CVMMrxc8OIykgbdWkYVwUZ1Qc2V85vlZdA9vQcGyN1y/OceVMkz/8/l2u3+sTxllh6iHZY73CFXd1vsKljSaaKom4N7b6tPsB1ZJJLiSZa2W+zF+9f4AXJKgKXCiIcV6YoipweaOFaxvM1B1W5soIZIqBqirM1h3aRR/vwmqTM0v1++9hmvNv/mpzauzxxctzXN5ocdD1pPFQKNObV+crLM+WHzvfEEImu5dcg6BIcjNNlT/4yztkmcDUNX7ja2uPuCk/DkIIbmz1p+SHxZnSqaP/MwjHkj36XjEnWH74rPpAZ9GxdFq1xxsO/OH37vL737tDGGUYhsrf/fULgJyT1or7d2W+wusX57i22adkG2R5RpxmOJZW/C6JB9cjFCk2Ghfpx3GcUSkZBEXyRZYJhuOIH394xOpcjZm6nLv+4P090kI8HkZpYVinFEZVhaOGSNEK4ytFEaioWIZKmOSFeQaoao6Ciq5qhFGGoinoQiHJcmxDY3GuJMVeqUUYZ5i6SpIJvCDmxvZACuCBMIoJogzTyIkTBc+NWZ4pYWoKSys14iSjMwwZ+zGtmvPYXmytbPHi2RZBlFJ2TcIo5a3rR0RJxnzTnb4v793sTl/Me3sjXj4388h79nBS9EclR5/is8M7N9u8d6sDyBnSd7+yhq6rfOsLy7i2zu//5V3SNGUwijFMDTWXPT5FUZit26DA9uEEU1dJ0wxd1zjoSSPX4/c8f6DXeGzYlSqQiZTe0Mc0NRRF3BcrKqAgXbf745A4qVApmcXZXj57KKKoBeT8zTJ1bEtjMI7ojyIcS6MkpPCqXQj+BmOXKElZmSvh2jrfeHmJv/rggEmQYOgqawtVvDCRs5QkxbUNPD8mTiVfKU5z7u6NMHQN29K4cqY1NZEFuY8PJlJg9mlNUI5nO3kucGyd5qfgHpziFD8LLM6UURSNpCD3ubaKbenT+jqMM14626Iz9GnVnCJ1Spo21soWuZBzd1WTRnNJIorEX3Asme4WRBlaqnB2qcZwHMveoa5SKUl+nEAme5xdqTH05Lz//EqNzf0RQSEgdG05G3vSfOydm+3p2rR9OOGNqwcIIetPy9RIsoy9todj61zeaLJ9OGavM2ZppjLdlxxLxytIzFGYEiugugYl1yQJZZ2Q5RlRrKFqKmkuaFQktyJOc1xbp1F1pr333ihk9yiZro9JljEYRVNRx1zDxQ+l+LnkGPSGIX/8xtaUH/S1l5Y4KlzlmzWbc8t1BpNIGl1WLNYXauy1x1RKFhXX4L3bHcnX1BSZjBwkJGlG2TFRFE70MdIsl0aWmkxmvnqvL40EC1Mvadwj3ychBNXCANILUi5tNJitu7JuUhWu3et/xP31wNpX1IGfFZZny1Pz4tmGM01+PsWzjbGfPMJrfN5EHPOPMbNsus8/56X2+FCgZxqWJbmiuQA9zaiXnr/66rM6GT2/TJhT0O4H+FFCvSzVnx/cke7X1zZ7xGnOUd8vXBjK3NsbUbI1So7JXsfjxvZAkh/THNvQWZkty8EtGuWKgSh+fi5y6Upj6aS5JCAJIR2gpauLhmVoJJksaBRFQdVUWlUHiohfUUQwmrrK9uGYetni7HKNzYMxaZZzdqnKTMNm7KUszZa5fKaJoqpcWGkw13TpDAL+3RvbRHHKF16Yw7UNXNtgrumS5wI/SvnCC7MkaY6mSrL6Ud/HC1JyId0DbFOjXrEwdJWZusPaQgXTkIfFiZ+gIMjynP4kIopz6hUTxzKolkzKjkmtYjEsItSM4u9YaJUeiYVK0owP7nRJ05z1xSpBmNCq2dMYWZAO2DcLtwpVVbhypvkIuW19ocrt3SF5LlhouY+kXURJNnVZLDnyOl861/rUDqTtQUCeC8ZBTJRk0tG05tDuB9OD7PE1g1SR9UYhM/VfLKLM542HBTiKorDf8bAMGQUXpSl39gZM/IQky9k6HLOxWMXSVQ4mIcNJTBTLxBzXNqQbhqWTZALbUFmYKfPly3O8ea1dHHRk0o6CIE6kO4dAFsj9sXSYmW24/L3vXuDPfrLNH/04kOTnHEquwcX1Om9e7ZAJebhZPVPFC2Pmmy5RmlNxdQxN57DnIXKZSjP2E1RVwS0c+tM8R4iU1VkZC9ysWMzNlPjmS4uM/Jh3bnQYTiJsUwORszLrYpomBz2f4MMjFlouqiajWa/e66Ep0B7I5vHqfJmZhs3SbPlEo+Zp0O4H3N2TUcO72oRm1WY4ifDCpCC6l1idq3xsukblKd2islxw2JWu5WeWq2wVbmNl1+Cls82P/wGn+Nxx0PGIH3BdKRWNQF1XUVUVL0joj0KqJZNbOwOunG1N3W+8MJlGcBu6yiRIsCyNV87NoKiC7cMJAmXq0PDm1UMurNa5uN6k3ZfJOVkuBVKKQhE3l+NHCesLVTRVYewlNKvSzS7PcxaaLn/px2SZYORHDMcx860SjqXxxctzxElKkKSkqZCigXs95hsuFzcapGnGnd0RQSSHj3N1m4pjUK04GLrOYqvMXMPhi5fnp+IEVZWOO7eGAV6Yyn1NgbWFCtWSiRekmIbG2kKFOMlIs5xzKw02FquYhmzQaprC9uGE/ijEMrSpM/+TBFLtQYChqdRKFs2aQ8UxWJuv0BuHmEUTwA/l4KbkyHVpabaMa+t0BwHtYcD1rR5nFqt845UldE2duvcuzZR5Yb1Jo2Jj6Kp04CpEq3GcTR2tjvo+6wuVE24YPy16w3A6HM5zQXsQTEUctqnz0rkW79/uoijw+gvzJ7735nZ/eorwo5TtgzEXNxqf6PebhsbL52YIIvk+ftL19ZcdtbJV1NM5F1bqeEFKtx9MD3efNNjk+M4SyEasTIkJqJVMmhWrENq4rC1UmG84DCYxe22PvaGHEILeKMIp6vkoySi7xhNTImxT5+XzM4WI+qPfe9PQPpE46WF0itoUpCN2ZxA894N7Q1d/qtfkFL982GtPQChYhkqa6eSkH5vMcwzLUDE1FcdWZTx2krEyX8bUdHY7cni7Nl8hzwVzDZXZRokzSzX6o5Bb233W5isn3O2fNUwKM4NjHPb8XzgRB8CF1UaRVKo80hNYnS9LMW8maFZtqqVTl9pfBNzcHhYpslLY0CvqXk2TvThdVUiFTNF4YaNBxbFwLJnG6YUpUZIyU7O5ua3SH8VouvL/Z+8/giTJ0jxP7PeUmxo3c04iPHhkJKvM4lXdXd0z3dPbMzJke1YWgAhkLzgsDhABTjjgiL1BBOe97ApWFiIDYIFhixnMdM/0dFV1Vxfp5JmRGTycM+NEuepTHJ66Ba/MSlYZVf4Xyap0T3czczPV9773fX+CzKRyogNkJLFsB13T0DWBH8ZUXIMsVUm8zWqZIM5wbYODrkdUuL2ZhvrZkyQO2zKwTbVGdIc+UapqkDhOiVPJ2oJyg7NNna9dWqQ/CVloONQqDklh7NKu2dw/GJMZShjy8Nl5vuny/p0ucZqx0HCpVx78t73j6az3NZhEbB6MME2dkmUoIlLZIpM55ZJJlkmCOMM2dd65dTx7jME4Ik6y2Xni7FKN+aL++U1M9jnFKX7bcWapxv/1f/8D/h9/foN//p9u89P3D3jjoyP+yQ8u8Kd/cOlUYH2K31pMA0XQt01lpvRJelcP/46hi1lylq5p1OsmmVQzBkNX6cEnjxgXSZutuoOuCY77Hsd9X/UyopTNwtzmBIstd2b4ZBfCDIB2zaFetvnx23t4QTJzzL12vs1co4Rt6cpALUwpOwYly+D6vS5HA59Jke4g8hyJMnZpVmvkOfQnIV6QFH22ENsyKFmqd9aoWKwt1njhXIsXL7TpDQOW2mXu7AzpTyJW5yuYhmCv4xEnqs75k++d4wevrVN2TP5v/+Y6hS4WmYOQhameY8wEu9uHKh3koOsx8iL6o4A4VXOCb15bZKldZm2+wl+9s0+eSxaaLqvzFS6dibm/P8YyVM/36kbzCeLT43280TTijY+OSFNJtWzNBBwAt7aHXD3b4qPNPl6QUC1b1Ip57tPOW0KoFJF7eyMymbMyp4i3t7ZU6ghAnGbc2x/z+pWPJ/VEcTYTcIDqqz7vvaDfVFxcbzzzrNqul+gNlbjAMrUnRB6gkh/+7Gebyl1aqM/+o80+335x+Yle/7dfWubieoNvvLDAQdfjvTtdpn6CzHNe2GiiaYJaWSUAAZDDNEwVSTVKsU2dekUZTvXGIUmSousaQsDYC3j/TsjbN4/xgpTtoylhlJLlqg+qhOE5jYpNZxAQpxllR58lDc41XIIoIfEUsVzTVNJhuWQihDKK0zSNXKJIq2WTRtlB0wVnF6tYls77tzsMvZibW0N2Ox4bS3Vu7w4IQiWEz6X6o2QmuH8wwTSPWZ0v0xmFxMUaPJrGvHpp/ql9xxNOBUB34HF7d8jEj0nTjKtnWxxNQiZBhC401QcS6vz3OJbaZTaWa2wejNF1wWuXF5j4Mf1xSMkynprqfIrPjjs7D0i1vVHAYKJSq3qjgLt7Q5pVm4kfY9oaUZQUAgaDRtXm5QvzJGnGUquMlDljL+KwFyBlNHtMTRSipBweDpVQl7gkilO8SO0HUaxMI6tlB8vS2ToaU7JMfvT2LrnMiRKJaWgst23KJZN6xeab15awLQMpldndUZRimxpxItE1xau5tdlHL2ZvF9YaCMAu5vD/6PcucHt7wKgwrnzpwhzTMOEn7+yxezQlySRBpF5Xo2bPHI/DSKVqndwTYZxy/X5vtjd9WjOYWtni1UtzRImkZBuf2LzxFKf4ojH1I9p1h8EknIkDHkbJNpiGCUJoeEHKudUa7VqJMEmpuRZ/9tP7+EFClishh23pMz6gZZistCv0JwGOaaJrWiHYVOYw1zZa3N0bEaeSxYbN+3d7jKZKRHFra4AQORMvQjcEH8fPN3QdUHtbmuV4QTJLdOuNfO7vjRlMlMFk2TH44G6PNMu5tTXkP/vOWW7vKG7PmaUqflHbg1CpHxUbXVe1y3K7MkuNsy2db7ywxNRPGXoRc7USq/Nl+mM1i6+VTfY7U/a6HgBLLZfLZ5pUXQtd1xj7Mdfv9ZToQ6h1u1OYQk+8hKtnQ165ODfrVQKPiCBcx+BiYTSzfTierVNZlhNGKUc9j0wqgUn5IVPGTOa8e6vDYc9D0zQc64GwPM9h93hKq6YEo2XHLBK5Hvy+oWvUyg96IZWSyb39EbaljJ4fRtX94ta+lfkKzZpDnuenPdnnCI9fA4+bRT4PsEpPvmZde/5nbF70/MkAhpMQmaPSkHLojZ9urP9VxlyjRG8UMPUTZX4+9+mMg56/T+8UADMnFICbWwNcx+DmZo/jfsDmwZhmzSHNVOxstWTy/VdXuLBSYxpm/Lu/uYdAzAqAaZjQqJeYb7q06iUEgt4owDI1DAMGoxjLMtAFNGsmhz1/5oQzDRKa1dKMeBYlGZWSQZblaBo0qw6Vks5wotwfgjgjjFT08UvnW7x8cV6le+Q5R30fyGnVXS6tN2bNxvfvdpXrNvDRVp9LZxqzAkPTxGzQcjJ8BVhul5UpRlFoVovECyGg6po0q6qAjIrkCSkVSXW/61ErW2wdjFlquyy1yvy972zwzRcW2T6asN+ZUitbHHQ9htOIly/MPfK5jL2YvaMJBz0PxzZ4+cIcVzZaHHSm9EYBq/OVmSoXFPlyWMTFPYxmzeH1il24HKrNY787ZeonhbDEpOyYpGmGpmvMNdzPVNScvHdm8Vwn4hTLfLBxubYxa8qLIpb5FJ8deZ6z15nihymNqs3qQoXDnodl6OR5PlMebx+OMQyNzYMxvWFIs+aw1C5x5WyLrcMx3WFYEMFz1hcrNOsl6mWT/jiiWbMJY4ltapSLSOITNxdNA13TubReoVa2SBKJF6azQcyLF9rUKw5JpoincZohM4kXpLx1s8s0iClZBiVLZ+rHNGsOi60KYZywPFehXbf5jz/30TSBhrp2dE3MXLxrZZuK6+AFPhdX65RsE6Nwq377xhHdkcdBL1CO+rYill4921TDIktnNFWx6+eWawhUczYnJ83UP8NJTBglT32vF5oueZ5z0PWYFsk4J+r1wSScfUZZliuVfefEoT9ise1+rIDjk6AzUE23zjDA0ARCCLqjkD/57gZbhxOyLMMLMlzn5LUo99UoyZhvlGh+jkr3U3w2/PT9vUcUtv1xyEK7XETa62hCm913rmVQcy2unmny8w8PmfgxraozS9y5dq7FYc/n+v3ezI2pUjLojUKigwxd09g6mvCPfvc851ZrbB1MOLNYJYyUy+xCy+Wb1xaxdY39ns9+d4oXJjNFealo3J8QpEHMXLHKJROBYGWuysRLGHkRBz2Pm1t99o4nmLrg3v5QOS5kyhkXHL736hqHPW/29y+2y08dGmwfqQhWXdPVkHQccWm9wd3dEbou+OPvbpBJSXcY0Kw4an8Sal8s2QbzDZdMSrYPJ2r/tM2Zk8j7dzoc9X3mGiW+dnkBu9jbTkjspq7Rqjl849oiaaaGKllBkLNNnZcvzmHoGmkm+Wd/doM7hfPVXmfC5bNqMJWkGVmmyKLHfZ8klazMlamULRabLmmm0ilKRSPF1LXPVcABj9Y7T/v6a5cXuLbRAk3DKvbzqR+z3/WY+AmZlLPDdLn06fZyXdceTf84xSfG2zePlTNcIknSjFcuzPHz6/v4YUb6CR32T3BCArB0iLIHruxpqq69tcUqX7s8j8xz4iSbNRJLto4f6swXKSpRIvna5XmEEE8IlB+H8dBnf3JdGbrG2kLliWvxs+DxxzqJEz7FKX5bMJxG/PCtXToDnwyJzHPKtsVUxp9orYhjiVPRMQsxqWML8lyQ5ZLFtsv6fJVLa3WunG9TLZlsH4z59z/bQmgCmcNP3tvjB6+vf/F/6KfESX1wUnzZn+P681XDs84cFdfitcsLj/QMfhmGk4jjgerlrC9UPlWC5ym+eFRcgyBKZjXlsAju0zTlhNeuOyRpjmPp3Lw/UEJvXTksv3C+SRxlVFyLqxttJDmOrvM//vsPIcoQuTr/W5qOYQgsQ2M0kZCKGUGjVS0Va4auUjAKJGmOYwoQOoahkWUpJ50tRb7QQFNHg0nhnCuEwLF0qmWLaiEyOrtco1a20IpEvWrZYhqkLLZcLFPjoOsV65ZA0x4QStySOXOQW5mvzJy+kkyyczShXFKPn2byERdvXdeoFAMZy1CC1ZP38/F74HRQeIpT/GbDNDT+q79/jR+8tsZ/968/4J3bHf7ff3Gbf/uT+/zD3z3PP/69C5/YiOUUp/hNQBil3CjSLwGSVH4sWf7x33lcRFxyFKEniNR+a+gaVdfCMFQSaLVscWaximMb1MuqVph6Mb6W8P6dDlfPNmfJ78tzZbwwYeorE7uFpstoGnHU9znoT8myDFG4BU/9FNex+L3X1xF5jqlrjDxl3nbQm7LX8Zj4EX6giNuaoZLJHEvn8noDXVfE5blGieE0mrnXVlxVw3zrxSU2VmpoQmM8jfjLN5Xh3JUzDfrTiNWFCt1RwLmVGplU9dw3ry3RbpRIU0kmVfJ4yUrxonzmxrG5N+bOwpCldhnHMjANQX8UIjOoVx10ITi/XMexlInG2ItZm6+wdThm53BCnGQMChFJnKTsdSYc9T02VmqszFXY60zRhEoysE191ssZTCLqFZu86BXJPEc7SVhzDHaPlYGOH6aMpjEby9XZZ32S9FqyDdYWKgghWGi6alZYiH1B1WgTr3BHtzTK9iers4yiDjy5xj7PPtNvI25uDtg5HlOv2Lx2eeFzN2p41llV1wQvnGupGaAunuiNv3v7mJ+8e8A0SPDCRM34hSjSZ3K2DyekUp15VooEmME4wjYNvvvSMn/wjTMEUYKl62i6QBPKpXom4gCERiFcUvwEL0qouBaWpeN5CXONEpom+Nn1I8hVerUfpnh+oh4TZRhZr6h5yfm1BsOxx5//fJsokYRxRsUx+foLixz1J7x7q0ckJTnqddfLNv1xgCY0TE1DMwVnlyvMNcokWUalmHVqmkaaQRRLhpMpeZ5zca3B735tjSTJmAYp3VGIpoli7qkaQrd2hpSL84sfJrz50RHNqs3aQpXr93sc9TwQsDpXJkrkjLz67366xZs3jpAyZ/tgjG3p1MoOq/NVbu8MirnK/Iww+zh+52urfOPaIoamEacPes3w5FnsFJ8PSo4521ellNw/GLHf8fDDlKO+x8iLmfoJWSpxbYO5hsul9TpLcxW+fmWRo77PR5t9JbiZhugCrCK5F0DXBQKBEDlp8qi7lJQQpcoIMhM5i80yQaJmkINRqMzQ/IAoydB0gcxyamWLcZGcAYondHGtwWHP4/xKgzNLNbIs59ZWH01TM9Oxr2b43UIk6TommiYwdA1D13j54jxZJkEoV/rx7pD1xSoHPZ+qa7MyV2Gu4fL1qwsq1bPAw73CsRfPeFGgDFd/mYjjWdwBUKYap07xp/iqoeTY1Cs2JdtEaFBxTAZjxT+xTZ2cnLNLNdJMmSKf/GwYp8w1Shz1A4JERfQMRhH1ioltlhCFMWtvHDCexgRmhuNomLqG7qpoqitnlGHxNEh58WKbNz88mr2uzjCgPwwJ4hQ9EYwmCcd9n+E0olwyWWq57Hc9giilVXP4zsvL/OS9feIk45VLLeJEzurC46Fab0qFePS9uz2QOVkm0YRGZxjyD35wDn8as75c542PjmZniyiRvHZpnlGQKK5A3WH7cEzZ1nEck9W5CrWqzXga026UiJKU63f7RX9WcP9gxO6x4kBEccrls62ZiDVKsplxJLlKKPDDVInbDZUectDzSFLJ8lz5l/YdHq998xzOr9aReY6uaUyDlJapntfzY27vDGe1gW1q1CoWUz/BMjXKjuJ1gpoLfOOFRZJUEqcZy8VaewKV7qXeXylzeqPgCSHQF7n2lexT3uHzhnLJpFaxuLU9oGQZXP0VDUO/CtBk9sT3DP35vxaN51BgOpiEszNFnsPR4PkTceia4Nq59jPPwJ8Uz/8V+BuAJJXc3x8RxRnthsPK3McfcqfFgWbixxz3fUDy5s0OhiZUZG0RB9gfB3x4P8exdV67usCdvWOSTBYbvVCxX7kgjjOcssn6YhUBrC6U+WizTxipxmarqlT1zbKJ0Maz343inM7QZ3WhwtSPmXgRUZQy8SMaNeVscWapShANEEKj4uiM/YitgxFXN1oMJxFBmBaE9DIX1xsz5enEj9k+nPDOzWN64xAhYL7hMpxELLWfful6QcLmwRjXMYiSjFTmLDZL3Njqc39vjGVq2JZBmsmZICGIUpVCUUSA7XcmHPV9/DChOwxZnivzu6+tMd90H8nACcKULJOPDH79MOGjrb5aYCZR0aTWCAqX0ImXsNh+9FDoPqOBqUjv6sY+HvjsHikC+XASsb6oXM79MMHQNZbnPpvDxXK7TJxkuI5yjrctleSwuvCgcf/9V1VsZZJKXjzfPiVvfkKMvZjtw7FyJVqqPvG+HXQ99juq6B9OIi6fafL1q8o5/a2bD5wix35CzVXRol6YqEhDTTVYlMBBpzdWDUI0yGXON68tM1d32O1M6Y1CHMugWbP5h797nrdvdjENHcvQWJmv8MrFefY6E+aaJcQw4KivCM7398dcWK3zyoU2N7f6SClBKNKUFyRM/AQvTNENQXcUMPYTvCChWbWVI2ecUq86+FGGEDmWaVCydYRQivCKa3LUCwjDFC9IMPQYt2QihODO7oixlxLH6l6eOdvXHHRdmwldjvsBrm3gWOoQmqYZIAmjlLWFCj+/fsh7d7s0yjauY85SeGxTJ4jSmVBGJfPEBHFGfxSiF645oIZSzZqDHybq/igOE3/74SF7nSmuY7DUchGaxsrc08nrj2M0jWZpH9uHqpk+V1fDnfsHY0YFMWXsjYpmqsX20WSm3h9OI146/2QCz0HXoztUIpdzK/WPJeSe4vOBfIxQKXPIs5R7e2M291WM/MaSSxRnbCxXefvmEd1RyDdfWOL+/oitwzEyh/mGg2Ua3N4ZcGt7QBilDCYR51dqHA8CJWRouQRhwv8UpSw2Xa5ttNB0jd/52hpS5ux1Pepli9Ekmg3h2nUH1zGolS3OLFUxDZ2N5Ro3tgZYpmB5rsbqfAUvTDjue4w95eQz9mLlrGAZxInk9t5QNUyLwVwmlatNrWzwl2/0mYYxS60K/+R3Lzz1fWpUndmaB8ptwrEMXjzffuTn4iRj82BMkkoWW64SgkYpm/tjUilZna9wYa0x+/mbW31+9PYeUawcdQ1D49pGmyjJ8IKE5bky64tV0kyyuT9m7EdsH46RqMPM5TPNGQHS0DUOe/5szUnTmNFUOX7LHKI0VTXCKMAPU4SAF8+18IKEzsDn7HKNhWIIc2bp83eLm2uUCKKUUdHkWm4/qeS2HhJappnkxtYAKfOZk2GtbLGxXGPt1M3uS8dBz6M3ClWaXJAy8ZTz2acRcIA6zMYPxZ9T/KsapJe4szskijM07YHIQzUuH/yCZar484cPlFLmbB2OmfiKiHlm8dFEmTSTMwd4UG5WD7tmflYstlziJGPix9TK1swd+xSn+G3Bv/7xXaZ+Qo5ypEzTXJGPP+FaIVGOp1mWq1pdE5xdqnHY84nTDEPXSWXG8nyV475PFGe4jokXJkXi1Ve7fizZBudX6hz1fUxDY2O59ut+Sb8WPNwz+GUIo5TbO4NHyBUXH6qjTvHVwepcBdcx8YME1zYYe8q0ACEomRoTPyWKUqqFU9rJwHDrcIwmNJI0o1VzWF2ocHtnQLlk4VgG/SwiR10zURLTG6WYpo5paQwnKmGj7BgMpxF+kZonsxxxshQUybylkhrgjbyMuOhz2YaGpmvKWZqclTkXKVWyR6NqE8Ypg0nI6ryqOz/a7KNrgvVFlZDrSlRfYq4y64f+1Tt7DCfKhXnnaMLfMdd5oTgvnFuu8bMPDgjjjMVWiTx/cA9M/AfOzY/j0pkG24cTMpmzvlg9dcw8xSl+S3F2ucb/+b/+Lr+4fsj//d99xNbhhP/Xf7jF//zje/zJdzf4+98/NzPAOMUpfpNxYgZ1gl+2hz7rd2Sec2apSncYoOsafpiQpmqm4Fg6r11ZIE4yojhjobn4iEv7q5fn2etOlZOupjGcxrx3p8vXikR7Q9e4evZBOnVvHPDDN3YLcbsBQpAU/Um3ZmBogg/udFiZL7O+WGM5k6SZ5O5/GnLYU+liQqhzhFWknn/96gKteomSbWD0NUaTiErJ5MqZJttHE6TMVe9RqJT64SRkMI4Ze0pMEkTKTMrUBNWyzeb+iCiVuI7B//BvP+R/9198jWbN4cxilft7YyhZZLk645FDlufsdyds7o+Jkoz1pQoLDZcoyRhOVUr6Qdfj6kar+IxU8kAmczJybm732TtWcwBBzkHPx3VMbu8MuXy2SbUQufpR+ogZ3cSL0YTAi1K6w4B62SaVknrZ5jsvLbF9NGGxVeZ44JNlygTAsVSCx+b+GFBzFE0Ts4SFkm1gGNrs+liZc/GDlCyIqZQs5lufrKdj6BqX1hvsHk/RdXWGPcWnw+7RhL/96BCAw56PEPCNF5a+1NfwrLnU7R2VBHF2qcrdvRGmoXF1o8V801VGicdTwjhjY7nGpEjhPDGP6ixU+O7LK1RKD+asJ2ZLaZZRsk2VMFOsV0GU4UcJpqmS/y6u1njrVpedwzFl10RmKonHDxJlbmMqg6czi1XSLGep5fKNF5eolEy2Dg3OLtXZOZ5gmzpnlmqUHYNWRc0NC704WSZp1RyEyNnreGTkJIkioH/jhQWqrv3ImmuaGpap4QU5Eri/P6Tq2lRKalavF6ISwxRUSxa9UcDYi2dJyWMvYq5e4s0bx9zfH7NzNMELE4aTiK2Gg20aLLVdhmWbm1t9wkgRNIeTkH/5wzt889oy1861+faLy1w71/rY2b9jGRz2PG7vDOkOAxZbrhKa+TErn+2SOcVT8P1XVvj59QOO+gFZnnNjUyVz7B1NMU2tEOSl2LYyjjseBOR5zvt3+3xwp8f3Xl0GAe/eOp65yKcPRW5kUu1jIs8f9kpBF4p/YOhC7TtZznAaEkQpmVRzhqBI5tB1jTzLZ2ZprapDWJiors5XZv/4YcL1ez12j6dUy4pwfndvyDCLEAjKrknFNSnZJmsLldm87nGehesYIB54u1imShk/u6zStcI4Zb7pPnItu475iBnMx5k4HPX9R7gDlqk/4px/ilN81VB2DP6Lv3uZ//CzLTRd8MffOcPt3eHsmj/Zk0/uK9s02DoYFNwcrUi4lbOfWZqr0BuG6DosNku8d7dLECreYK2i7tMgTCm7Ft2Rz3t3u8RJRparWeRgrDguuhAMvBg/TNCEYOtozJ/9bJPBJKJSMrhyts1Hmz28UAks/963zvLC2RapVAaKxwOfv3pnH0MTbKxU6Q0DpkGCrms0KwbTUL3mOJWM/IjBUD3vnd0hF9bq3NkdkcucjeUar72wyMRP0HUBMufnHxwymIQ4ls6VMw2+/fKDXez9O93ZvCFNJQe9YDYf7QxDyiWT+3sjSo7BCxutR3gPZxYqdAYBeZLjOgZhJGfcnrEXc3a5ptIzhGBjufaIKHa+UeLe3ojO0Ge+4bIyX6Y7DNELRz/nIbM7mTMzDwXFC1hbqLBzNKFetllouSQFJ9J1TGpl65liy8EkZPtoAjkEwO3t4SMcjFOc4nGEccqHxZ5umRoLbZdXL87/ul/Wr4QwfFIooP0GzAvazU+XAPHrRMUx0bRA8c+EoFV9fmuuz8rNPBVxfAWwczSZucjtHk0pOypi8JehVrboj0OiOKM/DvFDFdVp6AaubVByTLpDH71wZ3j7VodvvbCIaWgstcsc9TzCWBJFKY4l6I99uiPBcBpz5WyTP/zmGWSec2trUMRqSixTcOlsSx1cOh5+rgbGpqHTGQTMn23Qk6opiIBKySLLJINxSKWkVPMTP1Kq3kRy/V6f3/1aCQTYlsbyXIVWzWGvM2W/M2Vzf0y7UaI7ChlOQsoli4PelCTLuLHZY+InVF2LS+sNOsOA3eMpm/sj5hol+uMQ1zZxSwb398bc3R0ynMasL1Qolyz2Ox61sq0iFjWUu3mckSSZUvTmyrEvjC2GfAUAAQAASURBVLOZI7+uCcolEy9QAppyyUTXVWMyzVREZJLmNGsOU1+5DFiGRvhQHHGaSdp1B1EQ4BsV5wkV69PwcKQxwNhLmG+6zDddpn7MvT11eN1Yrn0seTxJs1mRmefMXA5PIiafhUbV4Y+/s/Gxr/UUDyBlzq3twax5fWtnyOtXFhiMQ+7vj8mLsMGHoVJn1DVRK1v0C9eIesVSYg1Lp2SrlIwgynj31jFhnKnIO9cilRLXtijZ+iwi+3FS5WASMtdwyKQicNUqFh/d72EaGnP1EjuHE1o1G8dWkeMyh999bQ0/Srh+t4/QBONpzNHAJ45TcqA/Aj/KyIE8yzmIUqylKnudAaahs75YYeTFnF+pKfeORJIkKUGYshdNqdgGlqViXi+tNdjcHyM0gR/GJAVBVMWxZqzMlZn6FlGSoevQrFkkqWR1scrEj1mdV4QMIVSk+2Aa0ajYHHbVgahZc6iULNYWK0RxRpxk7Hc9/CjB0DQun2liWzphnNJ2Syy0SlimrlJ0cnV/Nao29/dH3NxSDbP7eyMOez5Xz7a4tzei6lof6xR1QhAHlXQTF11e09DUyeshBAXp2g9TsjxHZjlm4Rr2cLNp7MXsHE1mv7N9OD49ZH1JmG+53N2fzL62TJ3drqeGl0IN2HqThGsXyuwee6zOl9WQTajrWgA11yKTylHHC1OEJohT5ex00PXxwpjhNCKIU8I4Y6lVoTMMqJUtvvvKg+ZCu1Hi5x/s0xuHnFmq0K6rIemJkAGUSMKxDFpVh0bZJMlypkGCY2lYpsFbNztkUl2bQRQWMZ8GZcfk4lqDt292lAgyz7m4Xufd2z0mQULZsZgGCX/2i03+8Q8ucnt7yDQoSOBLVV4630LwqCDxxEUnyySHPY+jvnKJvrTeeOT6vrs7xC/IYnd2Blw71yZOJHf3hrx144j+KMQu4kJ3Die8dH5utrcd9X3e+OiIzjCgZCln8rEXU3IMXNsif6jREScZy3MuEz9CSvW51CsqCWSuXpoNj0RBmgzCFE3T+M5Ly09cF1IqV7vHCfLPwtbhmOO+j23pXFpvPtN9Ym2hMhuQPH6g7AwC7u0N0TTBxfUGtqk/cLAzdF7YaPP61YVnvoY4ydB17ZTY9jkjTjI290dsH4456ntqiCAgziTBx3MlnsDJJSsEuLZOFGeKxCiUy9RS22XnaMLesYraLTl6cT0q95evXZ6fDdhX5yvkuaoRT67Vk3sxy3KCMKVkG4+4U8WJIoefOFQ+Xqt+Vmia4OxvKSn7FKcAlXRTLpkMpxFZms+iZE+gF8Is+fhh4iEksSTVcmxbObfe3xshhBq+ykwCgt44IE0lUarclk4GOb/scb8qmGuUmPsMAq8kVevXJ0mxeN4RxhkPlTqP9ChO8dXCxFcptqahITNJECUYujpXjryYpXYZ0zDJcklvrAaNmhAMpmEhDM0plQy6o4ByySKMUuIko1mzC+KFZOTFgCBPJNMg46Tk84KEMFZ1beInPJyCbtk67YZDkgkcUyV6mdqJQ7JGnivjCeWatzYbKnZGAe2aw1zdJYpT3r55PHOc++n7BzSK3ufu8ZRy6UEvtOqqnoaUag3TjAd1acW1+MNvnQVU/fHB3e7s+q6Vn91fcx1zRoI8xSlO8dsNIQTffmmZb15b4qcfHPD//PObbB6M+Rc/vMO/+tEdvnltiX/w/XO8cmn+9Fx8it9YlIt53bNSNT7p7yy1yyy1y3x4v8doEs+c/s+v1n8pQXK+6bLYcnnvTpcgyugYPt1hUPQlnuyp37jfn/Ud/ChlsVGCHHJyaq5BGKWkMmfv2OPsclUZtuWq5k8LsmkqJYsVi9W5Kl+/usB80+Xli/NsH47pDQMmfkwYZZxbrRPGGZnMSVOp0uwMnf4ooj+JiOJ05q4rBNzdG9GoOoy8GCkhl3AgPf7qnR1c2yKTOfONEu26xe29MaNJTE6ObeqMvYQgVP3VvaMp1zZajP0YUGnrFdekPw6pV2xqZYtO3+d4oET4o0mAH0uSTBKEKfWKTZpmDMYpB50p1TOq7nm89q+VLTrDgP2Oh64JFhdc7IdEN0d9n/3OVJm8zVdYK4zeHu/7PPy1aWhcPdvksO9j6lrxORpP/dmPQ71if+x8/BQfj94oeCRlZex9iubjFwApc0q2CXmOXRg7vXZ5nkrZ5ub9Pp1iHWjWHJIsQ4vh3t5oth9v7o/55rUlDF1jrzPl/v6IvaMpy/NlhpMImQecX62TZjlV12A4geEkxPNjjnvq2q6XLTRhM/IjptOIKM0xNLVGbMxVkLlgseXyO6+scHmjPSPiLLfLVMsmG8t1gjBV60qas3PkIXOVIpgDUeG+WivbDAojS4EitP7Hv91mbb7M1E8ol0zmmmVevjjHza0BfpgSJRlbh1OqbsS3ri2x15ny+hUlgkuznL3OmA/vD1hsuex1PAaTiDTLGAcJ9/ZHdIbK8C4p3IImXoLdMIgS9XW17DCYxExDJeTXheDD+33mGyVW5iszk4BfhmmQqLSUVDINEsTAZ2Wu8on2kVP86qhXbL75whK3d4bc2R0SRil+lOLHKQ46C02XziDA0GDiR4y9EFOHVOb4UcL6UoUP7/fYPFTixJN+34meIZeQColt6JjkpFKiAc2ajRAqcSWMcmQuSVOIEyXWRDwwmSrZukqdMQTteomqaxEnkr/4223WF6vkec5eZ4pjG7xyfg7b0jF0jWbFVjwaqRJmXdvgypnmjHsEas24vfPASOrW9pDXrswjs5zBOCIIE6plm0vrDQxd4+J646nvY6Wk5pr9UYhj6x9rqPvL9ryvKvI8L9yfn5wZfpFIM0me56fpJF8BvH5lgZcvzCGEEu3e3hmSpBJNF5SLZNuxp0yIP7jb5d3bXVIp2TmecGmtztaRSoRaaJa4dKbJzuEEw9AYjAOSNEfXNYSA3jBidcGcial++OYe3UlALqE/jvjDb6zN6g/L1Li5M1C8HdT8er8QlAVRys7x1qyO7w4CHFNnfVHNBW9tDbizN5wZq16/28ePM5JUkkmJYZY4UzcZTmPqFYuFhsvmwZg4zahXbBZbZeJUkktYmVfGMSdnlZ++v4cXJpiGTiZh99h7hPOXScnfvLdHFEtWFys0KlZRwyuy8aTo0YLaF8+t1BlOlbijVlYJY3EiqbgmSSbRUiWaswydW1v92f1yZ2fIq5cfEN8Pex6HPQ8/Sskyb8YF8MOU5blH0zOqrsnGSo3jvo+uayy1XdI0Z7mt1rc4yVhqFWRuwSwl+WnQNQ1dCLL8QUrTKb5Y/LrW7M8LB10l6E1TidAFb3109NyJOLr+k455fpxQ4fmuaUfj6ON/6CuG86s1Ng/GZIBhwKVn1HNfdUgplUGaZXzqFMxTEcevCdMgQaAan3H6aEzPSeTV4/AC5dJiaIKSYxTxvBLHMsgzFaHl2DpzDZvluTI/ux6TS3XAEUJw0PPoj5Ur90KrQqNqcbNwZg7CGMfSEQKu3+1h6ippI8tUQoUXpLiOzv29Aa2mS5SkKg0AqYa8QjCNMixTkf6mQcxgFOCFalisRCYq0rRdc0iSjO7Q5/27XZbnXK6cbdIqXO73jqdImdMdBXy42cePEixDx3UU6fJv3jtEI2euUSKOM5JMMhj59CYRnYFPJtUBUuY5vVFYOI0K4iRjNI2wTI0wTrlypkmYZEy8CMcykDJXatQowzKGIASmIZhvuoRxSpJKziypBnAORcGUcGNrQJqqImxtoaxiyJKMNJUstMq0avYsvrHimtjmxx8OQaV6ZDJH5jlRnM1SP4SA5bZLnGb4QcJBz6dRsciynHt7I5pV55kb/c7RhIOux9iLABVPe0Lq9cOYwSSmXVeu6Kf47JB5/og7VZpJskxyd280+74XJJQcQ91Dfjwj9idpxly9pNIlctUwee92lyjJmPgJmkiplXO2Difc2xsx8mLSTCrxhaVTrzoMJyG3tge8cK49a3JO/Zi/+MUWhz0lxhJCcpIUtr5UY6mlnJWCKMUyNDQB/XHAX7+zR7Na4n/xR1d446NDfvjmHlmq3Ds1IbAMjZGnIgizXP2tw0mompk2GBVLqfIjJZqQMseyDGScEcQJuZRUhcXqXJm9zpTjQUAYZzi2gRcocYiugS7UerY8X8bQNZX2kWRMg4SVuQqvXGjTn0TF/R7TGfgI1CEyiFTMeiNXa3CW5bRqDu/e6uCHirBiahrdUYBt6Aym0Swp58rZJlfONBl7ilDXqjnc2xvPBktZQdSGYiiUyY8VcdQrFrouyLKcxXaZRsWmXDJZaClx1qhorOu6oF5RxaJt6dy/ra6fesXma5cfLYaTx/aT5Bn7ySk+f7RqJXQBJ4m85ZJJVIgahVAipN4wKNZ2dX34Ucr9vTFemJCkEi+MadYchCaouiZxnCFlRpJmBHFKnErKReqMyCGME0xDcG9vQMU1eeFcGy9I+NFbO2wfTIhTlSrz9atK4Nl8yClm6scMJyGGLhiHOZalhm27x1OmQYxAOdpZunLPa9ZsGoWQIUklX7s8x87RhIprcWm9ybt3umhCkEkJQuOgO+X6vd4s9er2zpD7eyOadYe1IkXjuO/x9s0OYZwyDRKiYq9daKrEku3DCVc3WmQyxwsSJRJF1TW7xxOiOOP27hBNCCZ+zGAcsth2i4GyZOtgxNnlOkmasXU4hlzFnI4mEctzZSxTp10r0ajaKjklzwtnvYiKY+LaphKprNWZqzu8eKHNB3e6mLqgWVVrLQIcW2caFNHvDyGMUm5s9YkT5cJ3daP1S4mio2nEURFtGkYZ24djrpx9kmiWZpKPNvsEYYplKqeyk307yyRv3DiiNwxAqAHdH3x9HdcxZgKYdv3p6vU8V8LD0TRG1wVXzjSpuBZxnNIZhdTL1mkK16fEfmfKh/d7HBauiLWyEjs5pmDvOHhC0PmrQBfgFNdqu14iSXMcUyfJcj68P6BWVqlwlZJRXO8OtqkhHhLwhlHKu7c7JKmkXDK5erbJNEzY2h+rdcDSH4kMB+W6NvFjDroeCHjp/OeXwnGKU5wCLq43OOp5ZNmTom9QCWAft3ZkEkSeE0UpwtKJhCIxm6aGbWo0aw7v3Oow9mIsU2dlroxpqqS+3/SUhv3OVDnqCTizWH1ijftNw0kfIirOK58kNfAUnx1hnNIbhTSrFq7zy2uokx6haSjDhjRVpimGoepXUYg0/UjVy7ahoZuSaSDRNY2JFxNESqwTTyIMAaZpzMxFbMskR7mtDiY5ghxEsZDoQK7WFV1XtbYu1DAwSlQS3bVzTbwoYxLEqvdoasRZTp6DF2VUSwa1so0APrjbmbn82obG/f0RWab6dI2KNRtOPWxgARAnD86uX7s0TxCqIW6zarG+8HRhZ8k2eOFcm8E4VILr0+SuU5ziFL8CNE3w/VdW+O5Ly7xx44j/71/d451bHX5+/ZCfXz+kWbX5/isrfOflZa5utLA/ps93ilM8T3Asg2vnWvQKQ5SHTRt+1d/xgmTWp3Idg9X5ihJPZGqArWvqbFJ2jFmqvZQ5hz2VZiGA7lCydTDm7ZsdFtvuLIEhiFLSTKIJ1Q876E7Y7Xgzh+AkSwliSS5y5VALTL2Eg56HoQtyBCVbJ9YFujC4uNpgbbHGxnKdVs1BSsnt7QFv3TpWzuR5zlxTpRkf9jyG45AolVRLJoh8ZkolpXIsJ4c4VnPHLJPkqBrQMAQ/u36IY5o4loZbMqlXS3zv5Qo/e/+AaZjQqjtkJ4Q4KfGjlHt7Q84s1QmKlAzL0JlrqPmkZWiMvYjV+QpHfZ+DnkerZpNlOZmUBFFamFQJwijlzu6QhUapEKU8qEvPrdSxLZ3+KKResciyjFvbI1pVC4mg7JiUSyYHHQ/b0NjveJxfrdOo2OxqanaLgPZjjuQV1+Ji0TccTZXg5STJufkJjOxO8flAypxbOwN6o5DeMKBetbEM/QtJi378eb1QzQefJgTww5Sj3pTjga/mlxUbt2SyMlemZJvc2x1x72DIcBJTdgziNOOF8228MCFOUiX8QNX/Qgj8MGGnMEMaezFRmiFzyFI1KzR1wdHA53jo4/kJuqGRZZIgzoiTlDjN6AxCJWTQoNEokcicaZiyNl9hca7M27c7DL2EjZUa+50pb9885s7ukGrJJEcgc8l+d8pB3yNXPhloAizTIMlygiilZJlomkr3iJOMrYMxe53CsbhZxjYN/s63ztCsOkUaiGTsJeiawDJ1Xjw/x2tX5mdkz9X5MhMvJYhTXFsnzw38MGfqJ9iGzmKzhK6rdW/qx8w1HGSeU3GVCO8f/s4Gf/bTLW7tDNF1wUKrTJxlCE1wdUMllZ9wUR6fdZwgjlP2OlO8ICHLJLZpcG6lznzzs5/FPu65f1txIsqpuhZRnFJ1TdLURpKTyxzHNnBMje4wIk4kx8MQTSiB3U/fPyAMVZLTw+YeulbMLXPVK9RFTpIqw0iZSYIgxbT0gmOUo5GTFgHBAtUzsA2dZs2hVlazsna9VDj6Cw46YzrDkHdvHhFnSrgoNMH2wZi1xSqDcUhn4BcpnRWiWFKydN64cYRjGTSqDhfX6mrmmOVqPhpnpJkkiJqsLVZZaLkc9X0MXZsl6YVxSpyoGcfjYuxWzfnEaRqtmkNnGDw3+1gmc25u9Zn6CUYhrPy4tJHPA71RwL29EXkOS22XM6cJWr9W7HWm7BX97tW5Mkd9n9FUpad9+6UlFlvu7F75s59tzTiJXpDwB6+vsdgeESWSP/rWGf7lD+/QHQTousC0BJoQpAW3ybUNmlUbz9eoVSx6k5AkUf8tkylHfY+VhVrRa8wxdUEQSSCnVraReU4YZdiG4ux1RgFJLCmXDKZ+wtiLSDOJY+nKfCrJ0ITgeOhjagLdUbWAzCQX15skicQ0NepVe2aO6/kJjqkTxSlpKlX6Vp4z8WN0TeA6Jo2KTRhn6Jqg4pq8d6czm+ff2h5w1A+I4gxNE1Rdm92jCTlwdrn6yKw/SSTzzdJsHzwRaoPi+Iy9mJ+8t0+ew+pCmYtrzQe/+xiPZ7/nzWb5fpiyfTih5BhkWY4+UHyhE8NIXdd4/coCmwdjbFOnZBts7o+Lc4PidSy3LfqTiMWWS9VVZj9JJik75iN8wkbV5sJ6g+5AmXxdO3dqgvNF4pfxPJ4XiFzSHfpMgxRNQKP8/NVuTzODCuMYeL5nhWHy1ReePg6ZC2V0nEOW5cTPIccxjlP+/BfbDCcRtqXzR986Q+NTJIo8XyvBbwju749mkVluSREr81wRkx1bf6rLyPbhmMOeKrTCJGOxqTbaZs2mP/KZBCmtisXaUo2vX1ng69eWSDJ446Mj0kxSckx2jz1u7w4pWQZlx2C55XLc88kBL0hJs5zRNCbPc+7tj/DClDyTjP0UXcDIA5n3MHWd1fkynWGIH6bIXBU3UuaMpiGWqaNpqlERJpKSrZNmObapUXIM/CAhF4IsU8283eMpnWHApfUmr1954Ax9e3dAbxiqAbImcEsGMs8ZTQKO+wE7hdjjzFKVNz48ZBKk5DLnzFKNb724iBem2EnGxIuplEx6oxAhBPeLeOKDns93XlwiRzD1H6Rr/NG3zvDurQ7dUUAQKjHGv/vpJs2KjeuYbCzXZtHPm/tjJl5MnCjVr2XovHiuRXekGqzDSUi7bnNhrU6eU0SofryS8rDn8eH9Hp2Bz2EvmKUifPeVJVrVEq5jctnSub8/plY2mS8a5nn+bDJPlGTsdqZ4fqwKPtugVrY46HroGvz4nX3SVGJbOn/83Q1qp0TNzwxD15hvlmb3+2JLkYsfdnwvl0yunG3y5o0jtg8n7Hc9bmz2qZZN/CClWlZpMz9+e4/hOELTNOplCz9M2O9O+OBuFz9MCKKUsmORScmL5+eolEw2D8aUSyZ5DtfOtTjs+/z47V1+/sFhUaRnqrln6ViGjmHoxHHK2mIV09A47Cvi2L39MY6tc26lzhsfHbJ77DGcRsSpVA3Oqk2W5+R5jh+naEDJNnFskzQrrr2jCbal4/kxrZpV/LcMwxDYGFTLNlJK3r/XVy4Y7bJyfLINxmZClkokoGlqWLG+UGE4Ddk7njDxlUNNFCUc9CYcdn0MQ7DUrvDqpTlu74wYTNQgZb1o7LhFdHq9YtNuOhwPlEvUYc8ny3PCOGNlXhVoEz+mPw6Za5Rm6/Pd3SFhFDOaxsXjWLP48FrFeqZ7/sNwCqehsRfj2sYj5Gi7XpqRdGpla1a4J4mKjzwh2vph+ohYpF6xKdlKhCMEs8P4Kb54OJY+W38F0K7ZNKs13rjRUc5wQiU1TTy1j1+/10VKSbteQuY5caG2z4t7aX2xyq2dAWGc4toqUjvNNIQuME2dsadSOW5tDwjijJ++f0S76fDH3z7LO7c61FwLTWjsdTzatTHrixWMhw7kpiHY7ypxZxClrM6XKdnGTNS41HY5GvhkmaDdcPj9r60yDtLC2cfj59cPkRKyTIkpyiUTP0qQuUEcxyy3Xf7qnT1qZYsLqw0G45B2vUQQpvzo7V3W5ivsdzzWl6rc2h5wb39EydLpjiKWmi71qhIppZnkvdtdeqMAP0qoujZpKtGKQUZvpByI5xouXpAy31Cv793bXT641+fauRZ/7zsbhJFK8cqLJpFj6dTLNhVXHSqX2mXGXsxRz5+le2m6oFVxkHkhuLNUTLNpGpxbrbEyV2YwjrixOSDPc86t1B9JvjnoeTMymh+q4esvI4k+HHsKFEK0gGbNfqQh1BkEBEUTJ04khz2fjeUafpjQG4Ucdj3lEJbD8cBH0wQvbLTojyMMXTwi5nkYw0nEaKrEY1mWs9uZcmaxxr//2SZ+oCJmf++1tdlad4pPhjST7B5PZ0OSg+6UnSN13+hCILNsRmj4NMgkdIchpqH2q0bFxjJ1jgc+glwJRJOM5ZbLhZUGtWIfe1hkut/1ZsMgL0jojlT9feK6khVuSg8jTjLKjsliy1XJf59AiXIisHRsfebCfYpTnOLp+L1XV/jzn22RpOlTUzE+ifhLFj+YpTkgmWuUePXiPEID17FYnS+zc6hSxJJECZMvr6shwurCF0vw+HUiK9ZlAHJldLDYcj/ROf15haFrXDvfZjAJsc2n95xO8fli7Mf82U831X6vC/7wm2dmfZvH8XCP0I8SBpMIP0qolCwswyTLlBmBrolZj8wwBKtzZXQNNKGSttLswcrQn0RoQvW5Lq7VsW2DIExYbLocD0K1hhRusSc+ABoQJSr2RxOQ5bmqT3J4726Ps0s1Ko6JroNbMrGL55uGMPZT8sLpN0oSDnsTdN1gdc5l93hKlGS4ts7ET+gXblDnV+sz0ohdiMZP8MqleVo1h0kQc3apius8+3xdKZmnJJ9TnOIUnwmaJvjWtSW+dW2JnaMJ//Yn9/nRW7sMJhH/5if3+Tc/uY9paFw52+SVi/O8cnGOy2eaM2fuU5zieYXrmL8ywU/KHMcyqFUenOn3OlNqrqVEBKH6Z+RF3NhSxJStwzFz9RKLbZdXLy1gGhqDwvypVSshpRJ8nLjDHvV8Flsu42nM5sEYgK2jCZ2Bz4ebAyV81TWOeh6OY2KbGvd2Ryqd3NH40Vs7jLy4eJ0m0yCmZBq4jsHGSo3f+9oaW4cTBhNFatvvTknTnDBKiBPJ/tEUy9LoDAM0oSHIOSxSeXOU6MIt0j/kieg+V3O1JMsxdWXK1RsETIMJFdekXXM4s1jlpQtz7B+N6Y6jGZF053iizJxy+OBeHy/ICnOpYh46jfgPP9/m+v0+w0lAyTZIU5XYNpwIRfw521J/S2dK2bXojULuH0w4bjiYpuCtm8dEcYZhaPzhN9dZW6gSJ5KDzoT/+a/uESYZb93s8OqlOS6uNYkT9XkYpk53GNCuO8SJ5MxiFYr6LckkYZEE/zjqFZsXzykCvkpYO6UifFkYTiPG05iKa/HalXmiJOPVSwtfqHFBJnNubPbxggQEXFitUy6ZjL2YJM3YPZ7y4b0eXpjiBzGXz7a4uNZgaa7CxfU6b988JoxTwkhimzrLc2Vsy+DuTp+9Yw8vUPfzq5cXqFdttg7GNMomb9/sMPIiJl5MrWLPni+MU6quzXzDUQJMoRFGyihRkDDxE4SALJVYpkDmgpGfEMcp02nMcBIz9mNMQ5HS7+wMuL83xg+UKdZh18NxDM4vV9k5miBz+SDWQEC9bOKFCfMtF5n7mLFKW0+lZDCJlemcUInZ+4bO5v6Y7cMxw6k661mmTpLmGIZGu+484m4/33Bp1R2OBwFelKILjaNBgKEJojjl5YttvvPSMje2VbqGY5uYuuD8Sl05w0Ypf/oHF/ngbo8bW/3CxEvNSbYOJ7i2wWFhMjXXKHF+tf6UT1yQFn1kQ9doVm0sU+OjzR6tWulTzyRPTCgB5pulmfnQKaBZczgoZj6ZzGnXHfJcvf8yz2nXHNJUYlpJYdKakeWqxzUsZuM8xh8RQuA6OrnQqDgGYZSQZMyGFEGSIQwNQ1AYvj1I8ZA56Chj2UbF4sKZJvd2hxz1fZbaLt4k5t07faI4Q2jq9qi6asY1nkYcdH3SLGN1vjoTnoVRRskxeelcCyE08jzjZ+/tsTRXxrJ17m6PuLM7xHVMBpOIf/D9c1SK/aU/ChhPY1zX4LDrkedQcgyubbRm4tHhJCJJ5ROztmfhedvH+qNwxnVKU8l+x3tmKsnnia3DyWwudNjzWSiMQk/x5SNJpRJwAORwe2dEvWKRJMowNY4fHUCuL1Y47qskqZJtsH004T/+Ygcpc/qTgJ2DKd1RiBDqZ1fmK/THAbZlcH6tzs7xlCzLGfsJD+ul8hymQTzrc5YdgUTVCsoENWPncIyua9iWgWOqXmeegx/GBGHMmzeOAVieU4bKd3fHhRFTmU5hAisEnFupcWaxSm8cFCKt0iyNquyY/Puf3aczVKKOn72/z8Zihd5Y1f/nVhpcWFfcBdPQWF+sPjLP/9sPj9g9VqKNzsij4hgUEm6Ouh66Af1hhGFoT+xX7XoJy9QJCo7Pv/3re+ia2jvTRKVxnAhoFlsuo2nAjftDGnWHRsWeJR/qmlCmuwUPaDiJGE4jmgUpOM9ztg7GjIu5/kKrxH7Xww/VPH+u6XB7d4gfpoynEeuLVXY7U8iV4dPJ+QHUfvLS+Tm2DxW37POeDflhwjR4PtbTLwPP4nk8TxC6XvD9lHGTYz9/vfm1dvOJ7y38BhhEmQS/7pfwK+PtW51ZnZlk8OaHh/zJd8/9el/Ur4jbuyOGEzX3iuKM9+50+b3X1n7lxzldIb9kpJmcFS2dgc9gO+LSegM/TFhsuawvVp84PEiZc9hXh+ZB4TA/V3f4yXt7HHSndIdKOOGHCZVyxPEw4N3bHTaWa7TrNvd2RqR5zs7xhO4woOyYNKo2i+0ya+OIiZ/QGwUEcYYfxlRdS23mk4hE5mgaiGK4G8UZTsXgaOBTLdu4tqmUsLZJnud4QUYQSTQNWlXl/GvoBpYhadUc6hVbudybOkmSMfAijnoeYZxyd2dId+CzPFdB0wTjaYxlaCSpRGjQqtocDQLu7Y3pjgLmiwW0VjZVhHAiMQ2d45HPt15cUoXMJGK57dIZhhjFYynnQnVa/WizT9W1ZoNj09Ao2SYvXZjn9k6fwTiiMwo56nkPOXdrMxHH2IvYOVLEF10TzDcdSrbJ6rzOmx8dk2aSo77P+dU633tl5RNfJ+/c6tAdBtzdGxLFGVXXRIiMMMxw583iUDskCFMMXePO7pBm1eGl861nxrwLcvaPpwRRSn8cUj5p0AtmUVegPuO7O0Nee0hQc4pPj3MrdXWtCjEjFqwvVtk+mkAOawsV6hVbuUUUw78P7/doFA45e12Pv3xzBy9I6AwCLFNjvlGiOwroDkOVapHnCE0QZxkt0wbBTFnfqNiKjKypWLPOQDlcxWmmlOxpThBnlB2D0TTi/EoN1zaIE6kahZoo4sGVc8xe12NaNDkNXZEtyHPiOAMEliaxHQvb1JX4wDboDjySVBQJBTk7RVR3yTKwTY2luTJRLKmVLYJYrQ+uo0QecSIxNUAXrCxUWGmXVVxgyeLu3pD+JCYI1d/z/r0+Ms8p2SrZpGSbOFaLcys14lQSRSlemM4SL+YKN/o8U4k3aawYKqVCfZ89RIJ5mNMVJ1nhOGbyjWuLTLyY739tFUMTRUyz+YlJYI5lPLOhUXGfdL1XpLsHRfDjT3NC0PKCBMvUTpslXyKGk0hFZufqc5kEMdfOz3FuHOH5KnHn9SsLpFLy/t0+tqUx9mJevjDHNEgIo7QQeanHu783otMP8EOVwFE1VBxxluVMpjGtqs21jVYRJQyhUAPS7mXl9B/GGVGSEQQpRwOf3ihksVXmlUsqvSVKJG5JHa4qrkmcSHqjkPNrNc6vNBh7EWZRWyRJxiTM8MOE4TTijRvHJGmOaWhESc7escfXX1jk/HKd5bbLfs/DtgwqJYtO32djqVakzki2D8doukAIlfQx8RO6wwCK5LD+yCcIYyoji3bd5txKjZvb/dn92KjYnDvT4LjvI4Ra46Ii3WeuUWJlzuWjzR4IgaELPrjX4+9+fY3/+Ist5ZwDXDnb4O9/7xyvXzEIYpXW5TomnYHPmzcOiRLJXmdCs+qwOldR72Oc8s6t41kz5PrdHq5t8Pat49lrO+4HaJpKuYrijN4wYFwI3sqlj18XGhWbesViNI0ZTEIcy+D+/ojDnsG18w8SlYRQDQ8vTClZOottl4kfc2OzT5qphLQ817FMfeb8oReiwl+Gx1O8NCHYPBjhB6r5m2XKzedUxPGrQRT/UylbjLyI/kgNDJQbek4QyifW8pO53yfByc8lKYy9hDTLObtUI5c53XFILpndfy9stGbDwIc/xyeeX0C5EC7HSYZt6k8M5YUm0DQxIwJrH3N9x0nGB/d6s3rz/Gr91C37FKd4Ck4EBv+/n9xjrzPlsZC1z/S4fphwZ3/EhZU6tbKlxI9NlzSVGIbgwlq9SI0SX4pbG6j+yHHfBwGLTXc2XP1CIcTs/K++FL/RAg5Qg7zjgY8mBJX6qYjuy8C93eEskU7VUIOnijiS9EGPEODGZp+RF4GEQRyo+9E20DRBbxTMHJ6jJGfsxcw1y2off0otoQnQdMFuZ8p83SWVko7vqZ8vCEYPi8ROxrmGpurC6KFkDKSqP23TBKEIPZapCIpRlHB9c4DMcoQOd7fHHHTVkLRWtgoxuUaSQqtmUnZNdCFwbOXmHcUZlZL5xP2/tvibKyY7xSlO8dXF+mKV/+2fvsL/5h+9xLu3O/z1u3u8fbNDfxzywd0eH9zt8c/+TBl5XDvf5lvXlvjBa6unqZWn+K1AbxRwd3cEqFnY4lyZvEinrleUCdl4GiHJuX63z2AS4gcJO8dTOoOAsRez2FKp8PudKbouSFJljlavmCw/RDLXhOCg6zENYj6636cz8KmWLXRNueknmSJNV0smuqYRxqpv+eG9MSMvYhokpJnkynqTxabLxI9YnXc56gVsH01IUkmSSkZeRJblCAG9sSJQ39wZcHapjmXoBHGKpWvkQKvuECdKCKELASLneBiQpSg39BzOrTQ4u1hmc3+CF8SkMmE0jdGEIEklt3f63NhVKWVHg4CvXZxjqVVm6ieKYJdI7u+PlCu6BmkiubMzoDMMGEwigjAhilJ0XWN9oYofpTQrNi+eb8/EMdNpxEHfRwhwHYO/fHNvlrSYppJb20PmGi7nV+vsHo0LUw9BnGTc3h5wdaONEGqdq7nKNOzmdh8KQnC1bDHx45k7+Yvn208lY8VppubJlqR0qiH/0vDw0dZ1LFYX7C88eXLixUrAAZDD9uEEmecMRiG/+OiIqR/jhSrFOowzYMDqQpWLZxozQym9SCb3g4SSY7LQKPGLDw9J0pwgyhh7MXd2hqR5zof3epRLisgdJSmWpaMB5Dl+mNIZqPvlxGzRtk6Ms9T7U7IM4iQlE4okZOgqwcMwdDKZMw0SesOQStniqOdjWzr3D8aMpyHTIEHXNOplm/2emk/oQlcGPTlYpoauaSw0S5Rtk7WrC+hCsHU05oM7PQxdoImcJFWzeE0X/OitHTrDkOE0JI4lL2zUadddGmWbM0u1R87zCy2Xv/ets9zaHbA6X2brYMzx0CcvCJlHvYC9jofnq/ehUZW06iW2j8Zcv6tmB1XX4h///gW+9+oyb3x0TLPqYBoao0nEcd+fzRS7w4D1wvDvYagED5fuMKBkqyTJf/fTTdXzFfD9V1Z+ZQFGnucc9LzZ151BwNrCk8/92wrT0HjpQpuRF/HCRpvO0FdipprDYqPExlKN/e6U6DglF4IcDVNXAiXD0JT40dRIYtVPMAwlhlxsuZi6Tn8c4hXpoCctAinVfVEqWaRSqntFgKZraqZYMiEXdIYhYdIhTnNaNYcgSgkTSZKq2UeW5YhckGaSTEpKtkGUpGRZzl5nyjSISVOpiN9+Qqfpogm4s6f2SsfSqLgmy/MVMqnu8Z1jZXDZqDrc3hnw3u0utqVjmzpfuzKPa5sEYcpwGtGul9g9nrDfUdfX47O2X4bnaR/THrtVvqw25+Nv48fNiE7xxWHWGyxu4jyXbB1MmfiK0P+wcQrAt64tYRgCz09ZX6zy3/z3PyUohB4//NtdDAFp8bgil3zvlVWO+hYV18CxDUxdEMcZpmvglgziNFbiMg3qZXvG49vrTDE0ga4LBAI/zHAck1ZhSnprZ6AMDqV6vlu7Q16+sICUOXGUFgnimupxahp//3c2uHl/QLVs8a1rS6RZPptjWKZGtWyRZTm1ioUXprMZQBCkvH27i1UII+NU8k9+9zzHg4Ba1WYwDjkqRIxAkbKn3swwTUmSfDZD745C4khiGhq6rhXr3aOIE7V+pE7OztGUo77q/XpRyj/83fOqdhGCNEv57/719VkK1++9vkqrZrPX8VidV5yog8KEr1q2HrnHgiidGTMC3N8bszznEsYZlqFzZ2fER5s9Jn5Cu+48IgCZ+kpUUStE9Fkmub0zIIpVzaXrgpW5z4cLcMJfOKnDXjjX/q0343naTP55g23qrC+UOegKHEtn4XNIZPuysdsdPfG941HAGedXT0/4KqHnPX/183AcPvL1vb0nP5uvOh6vxT6JaPhpOGV3fsnQhJipJ8e+2gAHk4juUEVT+VHGS+fbBEW8bck2WG6XMYq4TUMXpKngzRtHXL/XJ0tzJkHEXL1EkkomQcyH93vsdTxcRyeIsplDfhxnTHzl2B8Ujb6rGy1++sEBmq5xbrmsxApezMRLENqDC0vTVYSNbSpn5ziRyDzHdXSSVGAayplG5jm2oRPHGWM/ZWWhotzJcxcvTJA5/NO/c5ntwzHv3e4wnqjvZXnOcBjxiw+PuHwm5htX5mhUbILogfNomEiEUCkGrm1Qcy1SmdMZhEXjRxHUpl7M+3e65DlYplIAXj3r8MaNY+Ji0J3nqik013Bo10vYlk4u1SF24kds7k8YewnX7/eouhZbh2NaVYdMSu7tjpj6CS9fnMO2DCxLJ04ySo5BvWxjFs4ZYZzN3HS2jyZ8W+bsd5QD4fxDjv5Pgx+qhpehafgynTkhnzRP/CidqTNVGgqK+OnFrD/jMaVUTZwwzmjXHIQmyAHb0DjyYqI4U4R8wH0OlZJfZTw+yFtql2nXS0A+c1GxLWNGlE1SRbKayoQwzhiMQ+I4YxrEaKFAEzANEhxLJ04zsixHyyHTJHEqObdUZeAlRHFGZxAQJRklW+ejzT67x55KzAiT2UFO5BAnKZoQ5OQcDwKSLKNRsQjiDNdRrk+2ZXBmscbNsF+QzQVZmnM88cnygggloKwrFxmVYBHh2AZC5ESxWneSRCIs1RCVqEPAQU/FrU28mN4wRNegXnbQi4YQcUoYJWwdTJCo2NhyySRJJVM/LkjhGnGSkUt1CogTFXEYxRlekM4EHvPNEhvLNYQQ9Mch/UmE65gcdD1y1HthGiaVkgVCxUIOJhFTP2FlvoKuPVjHLUM5A31ZyTVnFqvcjofEScZC033qOqIXJPJTfLnwo4TC0IY8V43m9253mQYx9YqNABzb4MN7PeIkRdcM4iTj3t5olt7i2EYhLBTsHk9JM0lOroYVYYoXpJiGpoZyU5WyledqaIhQIghN13nxfJt7u0PCYUq7bqMJQRil/NU7e4z9mNevzONYBq2aQ8218cOYVObUC/GSY+lUXAs/VBGlgzTCNjUqpTKjaaRIVlpBeBQq1UPXFBHr8kaT43HAUd9nbMWszJd5/eo82Uc5+x0lAqtXVVJAu17CNDSV0BGl9KcxMlcCLE0I3r3dRSAYTqKZa39WENSTVDKcRrx8cY5M5gzGAZZpUC0ZDKeKJK9EJhmdkaoTyo6JEEpscXLvmA8l2XhhUriEJJjGSVS0el/fudXhxtYAQ1fOWZOiiXFnZ6jcuzUxS8CYBglnC/L7yecbJxklS3/KlfMAQgiunG0RJUqdfdTzGE4iGlUbv3D8AeWKMpgqcVBgGbxoqUa7SlVJmG+WcCy11p04qvthwkHXw9A1VuYrTx2A1Cs2880S3WGAbemsL1Y5fGh4AmrIdYpfDbqucW65ztbhmI1llWilnOEkWSbRdJ4gaX9SAcfjkBKSwvE7iDPCQqSkCx1D1+hPQ1YWlPPjw4OK1fkKfpjihQnNqs1ckRA08WOmQUK9bD1BPLVNnTNLynFO1zU2Vn65S8jYi2cCDoDuKDgVcZziFKj1+bCnUpNW58vc3hmydzwt3KzkU1M4Pg2EJghTVaiUSybton+wvqRz2PWYb5S4erb1udaQxwOfcZGK+SzSyM2twYzsMZxEXDvX/tye/1nQNcG5lTqbB+PCtes3290xz5UrahCp/sHIi7h69jQS/YtGyXq0p2I/ow7UNUVm6A4DhBCMpjElyyAHZJYy8TOSVDnayoKsCMUZPs3Y70wwdA1D5CTFf8tzinNJPjNc6AqfXEKaFklgIkdDkD4tSuvxye/JtwEvjHEd5Tx9XIhPdF1jY7lGEKWYusZwGqHFKQI4DBOunm0SxhmOrSvn6qLfZBraLzU1OMUpTnGKXydMQ+MbLyzyjRcWyfOc/a7He7c7vHuny/t3uoy9mLduHPPWjWP++//5A37/9TX+yz+8/IUTZU9xii8L3WHAsOgBnlzXvdGDwfphXxnGNKo2mZTYpkqvPXHFHmURUZxy/2DMxFf9KsdWNcTUj3nndmf2+Jap8cJGm1TmOEKJqSxTR4qcH721ixemTHwlhrANHT+V5AhqJWXU5AUJcw0XxzY4Hvoz0lUqJTd3+uiaTpSk5MJjGqSYhuDauTl2jiYMpyGDScR4GmFoGrajk0nJ4cCjWbZJs0w9V9kijDM0TSPPQTc1LEOjbKeEIlMzS8fk2y8u0K6X2DmaEqUSx9TQiuTlm1t9WjULXQiiTKUC3Noecna5OjPOSDOVfD7yYobTnCSWOI5OnOSzmWHJNiiXLHRdULINFttlECq52bVNyJVhlSk0six/Iln1YZOOuUaJMMlmAndN13j10jzrCxXe/OiIraMxUaxe67mVBq5jsHkwol1T/RwpcwaTkJL9KMnrYcHPQc/73M+ap3g2mlWH+WaJzjDAsXTWv4SUTdPQ8MKE0TTCNHSaVeV0v9uZMppEeFHM1E+J4gxT18ikInjvdzxqZRvb0mdciO2jCVGUcna5xt9+dASoxME8F3SGAULAeBqR5yrVOktzyq4BmqBatvDDBMMQaEKo+aOU1MsWVVf1/EUOtq1jGYLhRBEfdU2g6UpoJVCz2qW5suJz6IKya+I6Bp2hRGZg6oIwVnP5KE4YT0OVYACEkeSwq/o5hiGoVWwurjWJ4oxm1aE38bEMkyTNqJYtllsuH9zvEcUpcSyRSLwwwzATto/G/PDtHfIcrp5tU69YjL2IK2dbnFmsMfWSmWGdoWvUyhamoeaWcZLRHYUEUcZxIaI74QBMg5i720Neu7rAuZVo1pMRmnjk3KoVc9DH4dgGfpgQxClpJtFEQKfvFwlIOvf2hr9yn0UIgalrs6ToZz33bzNGXszYi7m3P+Lm/T5BnLF9OGau4XJlo4lt6ViGVpiU5EhUUubUV/te2TaJ9IwszUhkQWqOMkRJQze0gjPyYL/IUbOGOJXomo6h56SZRGbqPgmihFTmVEsmZdvEMnIsQyOIUwbjUPEHMomuq/uoXXPwo4Q0VYZWYZyRpFlRC1gIoYRWcZISxKpWULNWnTiVtOsOUkKapURRhhcmBR9nxDRI8ENlbHjQ9biw2gCYudc/XL+o1LDkY1PCn7d9rFVzGNQj+mPFLfuyTDHOrdS5uztC5jlrC5XZe36Kzw+9kRImlh2Tpfazk6SNoje3fThBCFiZr/DR1oBJEGNogrEXP/LzjmXgmAahLqmUTIJYzurBNFeCihOMvZThNCZMUqSfk2Y5vVFInEriNKNVcQjCFClzqq7FxnKDXuFGvrpQ5tbOUL3uXJFc0yTHLwTXmVT9yVxTJCNd02bz6zCSDCYRYZwiEPRGIf/571/C1HUaZZuFpsuHmyr5r2QbrC9WubxeIpU5tqmzMldW4ok8p+Q8em36YYplPbhXSpbB1sGEwSRkuV2mXbcV5wjQhI6maYSFyMUtGaRZNhOP9EYhKw+Z5h32PLaL9PPDnodlaqRZRprltGo2QZwy8mKEgP2OErufzIB+8s4eJcdk6scFH8OiPw5JCr7Iw3W8oWuPtG8dW6czCDge+JRLJsf9KXeKdex44FNzrZmIQ3E7HvAEpkEyMyMC6A1DLEN/4jz4STEsxLSOpc+EeqD2nsE4/K0XcSw0XcZezHCq7u3PSzDzZaJWNpn4SWGgnj2X638QR098r2I/3wIO4InkpecBj8/B9efvcuLSWpO9Y4/DvkejYvO1y3Of6nFOJ2VfMjRNcGm9wfbRhJprU3FNeiM1rNV1DSlzjge+St44iSWUOZfONNg6GLPYcvno/oCP7veBHMsSiECpNjWhyI2dYUAYS6quMVNlKuW7Gtaauo7Mc/Y7E456AaNJSBhleKE6GGVZTk5OnoJTMTB1jXLJwLFNVtsl9nuK/NgbBwRRxsZyjf44Ik4UcdsytQfRagtV5psltg8mLLZdWlWHe7sj4iTFNnUaVYtpEDMcB2RZjmkqZ/LNoyk/eG2dt24dMfEUAdaxdGSuooc3D8ZkeU6SStp11RCKU0lexDnvdT1klnNupYaUqvnYrDpoIqJk6XhBytiKWWy7XFirc39/jJQ5qwsVxtOI44E/c+zOZE7FMYmSlBubQ1o1m7u7Q65v9llbqPL+7Q5RklGvOKzMV1hsunz7pSWOBv6MrFYtmWwfjmcOi4NxyMsX554YVk/8mN2jKYamoWuCsyt1BuOAZtXhwmp9VkjapoYfJhwPfHaOJjiWwUFXJ0mzQuzzKDnzeOBz2POIk4zzKzV0XaNcKhpPg4BWXTX1TFOn4hjEacr9/RFnlmqfyI3g1404TvnZdUWKPLtU5eWL87/ul/SxOCmM41Tyi+sHRHHKNIhZblf42uU2f/XOAX6QYFnKCd8LEtI0xy3pWJaB8JWIY+w9cP4vWQaOpfPB/T5nF6uMopTu0Me2TbYOJvSGIWGczBonSap+T+bqnzjNmHgqFajlOHilmLu7I0xTcGm9xdevLtKuOfzlm7v8/PoBE1+lYGTywcYqgDQTZFIy9lSSRp4nLLZdPA/iTKrmm1RkjyzLubYxh6kPeOPmEcOxcuu6tzemZOvYlkmraO5M/QRNy+kPA376wQELjRJV10JKiZSK6J4baoCiaRrLcxWy4gDYH4e0ag4rc2WCKJ0dckfTiIWmq5qquqBdd6m6ytXr73xjHdvUefd2Fz9UTZ4gSrm6oeKed44naEJw9guOtxtNI/Y6UzRNsLFU49VLX/3r+7cRulACq5MAlyyFztAjiNSabOiCztDHLZnKnUyo/aVeMWlUHXRNcHm9ycSP2T4c4xVJC1GUkgPlkoEfpiqWUGikUnLQnbKxXGXnUImbFpouUaKi7L//6iq7HRVVrgkYTCNqFYt7eyPu7g75xgtLXFipczTwkblkY6mGaWgzEcN3Xl7hp+/tM5pqjKYxP33/ANc2+fvfO8s/+r0L/F/+x7/l/sGI+YbDN15YxjY1Xr7YplyycC2TIEgJ40KQaOiUHZNL6w2SNOPm9oCDnke9YjHfcEkytXdZhkYUJjiWwTRQDYxpkUJULplUXYuzy3U0TXD5zKMRh91hwL29EVGS4pgaUayc/DTgsDOdufuo12Nx/V6vSDjysS2Db720pFLCMtWwQuR0+yFv3zim5BgIIegMPIIoRRMqtjqKUzWE3R6gCSjZ5mxvdh2Dkm1QK1tcWmvghynv3OkwX1fJTLKIvV5ql0lSydbBmKgQZ803S4yn0SxyTzVcDFq1EmeXqnhBwupDB3o/TAvRnnIJiZKU6oJJvRiCpZnkbz86ojsIyMmpbFqsL1Znz/8wzq3UHxmynFup0x0G7BxPaVQsXrt6mtL1aTDfLM2SUP7lj27NhohCB8c0kFk6Wzs+K9ySSW8Y4pgGCy0XP0iKOkHQqDgqxvyx39F1DddRNWnZMRlMQg57Ppap8drleUxD5/7+iA/v9Wb3S821WGqXP3HzznmMvPpZInPjJGPzQLlFLrXdQhh7ilM8f8hkzo2twezM6PkxXphimhqaEMjP2Gs76eFrmroHTU2d06uuxfHAR2Y5jZrNq5fmWJ2v0qh+frZyg3HI5v4YgP4onDlGPow0kw/cOlEOUFLmX8qgfq5R+q0RkiWpnAk4gCeGdqf4YnDpTJ3BNGS/69Gs2rx6+ek1lHKEywkTtT+fWawQxRlxKkEXHPWjR6QUhq6GngLlSCuVcTK6pnoMMs9V6kUxHDxJCvSCFHIl7NAEKnbjGWZAUuZPJHtoQgnAMgmlYiiY5UAOjiW4emaeIMpwbYO3bh7PyDe2qXFm6cF5eb5RUu61unjuYuJPcYpT/PZCCMHqfIXV+Qp/8r1zSJmzdTjm7Zsd/vLNHTYPxvyHX2zzn97Y4R//3gX+V3985VSgdornFnme8+G9Ph9t9ig5D5Ksl9plSrYx61X5YTJz2NU1jfOrdRpVe+Z2XStbOJaBoat5pKYJOoOA9+92+Vc/voOUqs8eJxkbyy3mGiUMXRGIb24NeOvGEX/13h47B1OaNZv5ukMQp5xZrhInGY2aTcWxKDkGvWGAAHaOxkwDZWJ3kooaJZKyrZMkGaNJRJ6Bbkxo1UqMvYibmwNSKUmlxLaUg36aSTUTdU2W58pIqYwoMinRdY2ldpmVuQp3dgbASfqZXqSJVNg6VHMN09DQhJorJlmujNl6StjhBTmZzJmEMd2hj2Vos7leGKt5RtU1kSiiq0Aooz+p+pbnV2vsHHuYhsA2deZqDi9dnKM7DOgOA/wwU8nH5Hz/lSUqrsNh36dds3nlwhx+mLB9NGEappxZrLJ1OME2Nb778jK6poTFrXqJG9tDwiglR5njXVpv8OFmn4mfUHNNzq3Wn2rq8ciZI1dzz68y+fU3Da5jUnZSHEvH+JyTDMZezO7xBE0TnFmsFqkxKlUnTjLG03hm5kYOYZKRpblyqc5zKkWS9tiPubM7ZOzFLBSGRPcPxhiGRqVk8dFmn9evzPOzDw7JMknJViZGJwZXJdtAQzAOI3RNcGnNJUozOkOVvtGuOSQyZ65moeu6Io8X8wejWJN0XUeInOEkLty0wXV0tByCIGGuVcbQNSZeQhCquWmSqPTzMMqouCZBmM9MGE8Qp5JJkKjkQmJub/cJEwlCmfoZhkatYrHQdNE0DdvQGXsxQax4HmEiWTA0fvLePlGi0gs298d8/9UVktTlylmolEzOLFVxbPW3jaYxzarD7766ytHAxzQ0XMckzTIO+yHDSUiew/JcGdPQycm5vTMgTrLCsNNgZU6Zcm4VSSpnFqtP5Qf4QUK7Xpr1Y7cPx+wcT4vrA/rjJwlxnwSX1hsf+9y/rZj4Kolm4sUz0YIkR+TQn4R0BwFCU4lRbsmkOwgxDEGj6qgEpzglSlSvQAqJyFVqpyYEXpDgB4p8/bCVg6mrXoJtKqNFIQQiR/URCrPXNIvVvS1U4oZdJLPkErTCeE7XBO1GCcvSsW2dIErpDgJsS6NedUhlTi5zdF3DNpUpxMRPCONEGVYliihdLelkMoMcklQZV713p8O9vRFhnNGs2ZRss0gG05kr+AOg5hAn5OQwTvird/YAePFc+5H5fp7n7BxNlHDUi9BPknufg31MCDFL3foyUa/YvH46M/zCMJpGMzFRfxQiBL90HpdlKrlJ15Qzfq1szUxIBTn/9m/us388Zant0qhYvH2rS5apFDhDEyTPGFImUvXwZZYTkxEECUGUkWRKyDzfKHHpTAuZKfNJxzZYNHXIoVlzeO1KxIf3+qRpxvKcMpRLshyRSFbaLjupMrUs2Qbfe2WF0TQmjFJeujjHftcnjFMQiof447d3yXPY3B/z4WaPqZ+CyGlUHF69NIeuazPy7z/8nXP8yx/dI80kv//6Knd2h7x3p4Oha/zRt9d5/06HrcMJtbLF2lyZd24dM5pG7HemfP3qAv/6x/dJM8m5lTqrC+XZZ3FhrU6c5hz1Jxi64PLZR/kKD9fBea5mIK5jImWOzGHrYIRpqH5BbxwQF+lFQkCaZQSd6cyo0jE1VhaqaKnANHS8IMEuyPKWqXNhta7STnSNkq3z9s1OIVZTInij4J8auhK71soWcZrNznYnsK0Tc15Va63OV2ZO+P1CCPdJZ8F+mPAXf7vNQc/DsXReutCmNwzxoxTXMT/WEPC3AU/juTxv6I0iTF1XZ35DMHoOZ05akjzxvfSzDmW/Ami2vrr1yrNQtmHyUBjHhfXn7/4wDI1r51osz5VxHQPb+nRitdNu8q8B9YrNyxWbq2ebbB9O0HUxa9CJk+7iQzWSFyasLyrX3D//+SaOrdOq2ex0PColk0rZ4oWNFt1hgGVodEchWSbxAp2FlsvrVxbojkIEShWbyhxdCqZBzAf3esRFc+WoPyVOZOHmrZ5byoxyyeK1y3NYpooYvbuvnDDiLKfiGDQqNrqucWapwgf3ekDOxbUGf/K9DY4HYUGkzIhiwf2DEcd9nyiVdPoeAkmayQcZUblKmeiNQr7xQoM/XbnI9tGEetkmSTN++NYOe8dT6hV75hAthE6tbCOlanzqhlY0bnOiqIzrmszVS4xaMYYuMAwd2zawTJ3twymvXV7kxfMPHD+P+sr5miJedbFZIoxSHNtg4quo5cFEuQftH43ZOhwDgoPuFMvQuLje4JvXFvn919f44G4PXRd884VFNg/Gs+c4Ick+PNCRMufW9oAsy8lyyTu3O5RLBt97ZZU/+Po6d3eHvHnjiFrZYn2hysiLOeorwc9c3SGIbLrD8InGhhckMwJNraLUvWeWaqwvVrmzM1SpJELw0vk55dAyUOKcIFLpMOtfklr/s+CNG8czRfNwoqLgnuUyMBiH/PidPfwgxS0ZrC1UaFYdzq3Unqle/7zQHwX8yx/dZTKNObda4x//4CJvfXTIGx8ekaQSx1aF7K3tPoauYVnarEmQpJI8V84ZSZJRrViMJjFGIVrQdY1SyaTq2oRRxm53yoXVOt1RQC4ld48mdAcBmlY4qpgmaSqJCoKGcuSIubM3VE072+DW7pB2zWG5UeGop1yszi7V+Cc/uEC77vDX7+5xZ3eolqyC52EaGudWanQHAQkpFccgF3B2qcZc3eX6/S6GETCaRFimxkvn5nAcnaGn4spV9HiOF6VkUlKvquu6PwpJ0gzd0AijlN3jKWcWq9SrDn6ok6SS+YbaCNcXayy2XOpVe0aKDiJ1+DFNfda4STNJbxyweTDGsXRW5isstcozgRPA2zePub0zpFlzaNUcvDDhoDvlpx8ckmaSr12af6ZavDcK+Ot394mijCsbzWeKL8I4nQlPHkeaSW7vDBWRBri9O+TlC59OtXmKLxbVsvWISljXgYKofRL3WXVN/sH3zvGvfnyPTuF6cHGtWRxwNBxb5/q9Mf1xxGHPI0kydB2yXFB1LaIoQxYO2nmes75Um7kXCAHtWon5hs17d6ZsvbmD6xgstEqszCmhQJxKNvdH6LrOCxsJuq7xg9fW8MJkFifcH6t7zbZUozNJMg5606JO0Xn7dpfLZ1v8H/+rb87+ViWikvzNe/vc2+vSGwVUyspZLskUs8w2daIkYziJqJctWlWbraMJUsLUS1hourx6cZ6/fm+fiRdhJCrOWROCpbbLueUaZ5ZrrC1UybKMf/HDu+wcTWjVHP709y/Rqqno5MOeV4i4ysSJJCsiWDeW6xx01TDhwlqdztDnF9cPqbkWrmPwk3cyvvHCIi+cbbHfnbK5PyJKJEmWcTz0WWy5+GFGbxTOGspZpoa4o6lK+BJCECdKaLO+WC2ioTOkVK6dq/Nl7u6NCKKUs0s1vCChZBt0hgH9IibwfjCiXDJoVh0mfsykcOPwghQpg1nSzkHPYzSNqJYs1hYraJqgXS/hRQndUcD9/THDcUxvHPLS+Ra7RxPlcDEJkXKq1rMgwXXMZzafpVTr8TevLfHNa5/3HfPbiyxR9WoO5BmUKiZxkpKlH/urHwtdg5prcH6tiRfE6LrGYZKSJJKqazLx1EDv8XLnxO0F1BoQpxnVkoUXwF5nn3duHXNvb8xCUxEv/91P7/Pa5QX+6d+9/LEJMyeouBYX1ursd6ZUXYu1z+AEeH9/NIsJvrs3olw0hk9xii8KvVHA9qES755brX9uQ7skzR5JqDlJwPMKcsDW4ZjMiz+1yCt/6F+STKLFGbtHE/7Mu8d8q0LZVkYNF9cbBFHGq5fmn5rUdILRNGJzf4zMc84u12apk0+DFz7aAPWjJxc5NVwwZgID1zFOnRa/ABi6hm3ps4H1b7vT1ZcFTdP4zkvLv/Rn0kzOBMHv3uqgCcFrV+f5w2+ts3c8xQ8SNg+nj/zOAwIFRPEDn8w0UwPZHMhENjuXnPx/XvS3BKqhbFkaGsW9WTA1NAGWaZAVQpCHRVZ5DmMvwjQM0kwy9pThBICW6vzxdzbwwpRKyWSuWeLNG8fouuBbLyyxPFfGDxOaVecJMdcpTnGKUzyP0IpUr3Mrdf7z37/Ajc0B/+zPb/DOrQ7/4od3+Jv39/k//C9ff2TecIpTPC846vtsH6mU+bBwzfeLRPjV+Qp5nhNEKRfXGo84ptuWTpZJVuYq5Lki73zrpUVSKQtSd0ZvEjINErrDUJkp1Rz6E8lCs0SUZEwDSdD1GHkxP/vggDRNkeQMxhHLbZeL63VevbQwe95G1ebCap03bx6zfzzl59cP0IUSO0jymYCk4hpMw5g4lUzDmHJgkCQZ9w9GDKYhmtAQqL5exVU/r2sqTfygM6VXsAkymWPoGt1hwGAcstAqUbKbHBemKo2Kw7u3j9k6nKgEX03D0CVxomrwqmviOiZ+FLPf89A1MZvnLrVdbMvgaOADOaGf0R8r99r5Zok4kcw3S9TKNl6Ycmt3yHgaq7loPi3EJpJvXVvk/TtdvCDh0pkGjYpDs+byzWtLj3zO1+/3iOIMP0gwDCXeUHMnyf/wb65zd3eIYxlM/BjIWWiVCOOM9+92Oe77TIOEacmiWbUZTpRJ1sOolKxZn0l9/es9g+R5zr29kXK7LZlcXGs8YYQHEMcZ/5+/vM1hz2Oh6f5Kfa+vCiZ+zFYxi/aCZLZnnWAaxPyLv7xNd6hco//0Bxdndf3HIStm2CdO+rdj1UcI4pRGxcE2DXaOJsoY0TWIHJ123aE3CjBjnaVWCdsyOR5GVF2VxN0dBhiaQGjgBzFBnM3cS8+t1vnuy8v89bt7DCdR0WfXqLolKq6FFyTMN5UpWxinnF+t06ra3Nga0Bv56Joibw+9BD/IlNu3poxs1hYrvHurS2cQ4lhaYYoTMM0y5houkzDh5jt7GIbg3EqNRllxMqquyXK5PEsCiJJMEdtR8xkhFKkyyyShlHhBTG8Auq5TLhkYus5is4xj6zjF7MA0NCquSVIkHCAl3VHA1I/JMrWeGqbGeBo+4nJ8Yq7zysV58jxn82DM0dDjnZsdRn6MJgS6IYgTSdW1GE4jskxy7bwiuQ4KsYWmCWquxY/f2SPNJK9emOfKxrOJU6Wid3Mys2xUbZbnXCZejG0bv7RX9MtQca3T2ukZ8IKEo77PXsfDMnR0XSBTNWPwgoRb2wMW2y7zDTVPU6lY6lq7udXHNzQqwGEvoF62CKIMP05nqQ1+lJA9xFkUKBGHaerFXC9BoD57KSFMlPFcDmrmN41VkpSn4Vg6JVvHLZkYqSRNJYNxSBxLqmUTP1B8G8dUhnKX1xtoQuDYBoc9T6W8RIWZnSaQeY6uC6a+ZH1RGdGlqWS/63M8CLBMvUjrgatnW/z+62u4jkkcp0gpeePGMW99dMRHm31qrkWlbLI6r+YSf/3uHvNNB9dRfd7jQcBhT+3pk2lMTk6rSJ76PPaxsRdzf0+lVpxZqp4aU53iY3FSg5/g4T7d44hTyY/e3iNNJdMg4aP7fVp1RyXHuRYTP+En7x0QxQm2aVKrmERxRioVJ2h5wWX/2CPPoVLS8SM5M0a0DY2djqpvLUNnvu5gWzo2GiCoVyziWJIgaFRsZJ6ze6RqEcMQvHhujuVWBd3QsHTBX7+7r1J8hcGlMy1MQ8cPUtoNR4kJpxFpJtk9nGCagjDKFIdLyxlOY4bjsEjjEbiOWu90TXD/cEx3pLiJ880SYSL5wetr5ECSJNzdHeGHCZoGP//giBx1X9qFau3+4Zg0zbH2R9TLFo6lk0mNiR9Td1szQ6i1+RpCMEsaehwV15wJ3xHQqtmMpxGZRL1XicQsxpllx2R53qUzCLAtHZlJjvsBsuCEHQ58ahW1r6rEjkcHRQ+LKq/f6ynhTjG7sk2NJFWkdMvQePHCHFeeIRzIc1UPGLoyFwui9BEeY/CU2c6zsH04Vvwx1DX7/p0eawvVmYn100KhT/H8QZBza2eAHyYITVAtPX/Cgfm5xhPfs57HCIjH4E2fP0GN/5gG/Pb24NfzQj4D+uOQ3ULY7gXJp+Zan7Jdfo0wDZ0Law3Or9Y56vtEcUar7mAaGp2hPyuMWtUHB96TYu3K2TaGplOtWCy2XJbbZTYPxoXz3hBD0zCKg4yuaZxbrkEu2TxQIgRy6PZDgjCZiTZkrjbohw9qpmGg6ypiLYh8XLuIvCLH0FXqhswVcTtJVTFxEln6s+uHDEaRik/2Is4sVen2A0xD56A7Za/jzf7GhabNyE/p9H1qVZvXL88XLpwaL12Y46jnc3tnQKVkoWlaIThJ8YKEWsXCcXQqjkkYSyxTI0kzdjtT4jTnhY0W33hhEV3TuFGIZdTrlQzH0UygcQLXNplvlooYZoda2aZUxKFFRUTq2I/pjwK6o4AozjCKRIHOwGOx5bLXmfLtF5cfUaS2ag5+qJSz+90pXhAz33R5YaOlEgmkKoajJOPNmx1AKYrfunHESttlGqjPfjBWhevEiyk7BvWyTRQrB56FlquIgbmKS3Vsgzh5EH1WsgwqrjlT49umxnt7IzKpXFhX5h9V0D4cm/Y0ZJkkjDMcS1fOKr8m+I+RhLzg2YXkzz44ZFLEk20fJbi2QZbl1MrWZ3Jj7Y8CJn7M2kIF/Rmb+1+8sVM4IMGNrQEbt4/ZOZ4SFZ+RH6YcdKeEccbu8YQkkWgaWJbBYqvMxE/wwgRdU1HZliFwbHs2TNE0WGo77Hc8/DjlsOezNl9h4sfILKdaNhEIUhlRNQ3SNCPPsxPjDAxDI5dwZ2+IlsM0SBlPI5XSomu8e6sDCF6/Ms9wGtGo2JRsNfSIUyUAK9k6jbKFkDkHfV85yZgaf/Tts/zVW7vsdzziNEPXBAuNEjk5//wvb5NlkijO0IriXdcE5ZJJs+awd+zNnECjWEWKl0smvSI+cDiJFAnM0Xn96gIvnptjrl5ioeny1s1jANYWKrPPZ3W+wn5nyof3exz1fcqOSSZzFpsuZ1eqmLrOUrusRFWFA0h3GFB2VKzi37y3TxCpz+wXHx6ytlCdiT4exs+vq2sN4P07XdYWKo80ZdJU8hdvbNMZBJRsnb/7zTM0qo82ONNUzpqhwCP38ym+WpAFmerk8OlYBiXHJEyUG5SUgIRK2abiWmSZRAjB+lINU9eYb5YQ5Bz1/VmT0rENltou3WFAmkKzVsIPY6I0ZbFRolIyGU4jqmUbIeCw73N7e8id3SGVkomua2i6xt/71ln2Oh5TPyFJlRjjBMNpxPKccpUaTiK2Dsd0C1HBXMMhjFLlqusY5Dl8eK/HmzeOmas7VAvHhs39MZsHI8bThIprMg0S4lTSqjnkMsc2Na6ea6kmbKCi1W/vDBn7MXP1EhXXnO1ti80Sl9cb3N0bsnUw5ngQstB0+OaLS7OGwc/fP545QBz1ff7yzW1ef2GR3eMpQZhRLdtAjqnrtOo2WZbjmLoSgEiJlDCexhwPfA66nnL4skZESUaeS65utHjr1rGKUtcEqUwZTpRjla6LwhUvI46Vy5VtGkSximFGCKplE8vQOL9Sxy2ZjL2oIOaaDCbRbNgMqsn9+F4bxRlZIeAKQtUosc+rz2zixyRJyt2dAUMvpuyYXDvXYmmuTLvhUI0N7u0OqboWSSbZPpjw6kWVpBAnalhlaCry3TYLQudTzDNOPiMpcxbbLmeXTp0xPiv8MEETAsNQ8fCZpoyrKq5BjsNoGhGnv1r36mF3LF0oZ3ndMDjqeySpJElyDEPHMg0mXqK+n+WUbIOrGy2iOFWpMg/tLWkmSRMJxXb11+/sk2WSJJXc3h5gWya2pbHXmfKTd3b5w2+d/USvVUrJ2zePOez52JZOtWx96kFFnDx0WMnVfXQq4jjFF4U0k9zbG83297u7Q1678vk4jNmmjusYszN+o2pzdqlGJntsrNYJwpQPt3oMxtETcbK/CoSAXOaEcYIQGl6UMpwm1MoWWQ5+FPM7r6ySpNlMxKEGGuKRZv2d3eHs/H53d0j96uIznREbFZuDrhr8INSw0wsSHNtAoBr/lqlxdaM5G5D+qrHcp/hk0DTBCxutwgBDsDx3+j7/upGkkhtbfYJQuUS/ffOYtLi3fvHBEZfONhhNYsZ++MTvmqaOpuckccLjy8LJ109fLwQn7CJDF0UasGCp4mBoBqnMKVsa41AJkLVCnCwLZoamqzO6rmtoAlp1G11T9elSu1SYySj3zQurjRkpolmznwtjkFOc4hSn+LQQQvDCuRb/zX/9PX5x/ZD/9p+/y2HP5//03/6E//V/dpV/+geXTkWqp3iuECUZlaLvfiIGbxaJfZomZglbUqoeZpxkGIbg+r0eUuYsz5Uf2fuH45iDnkeaSbQD5fpdKZl4YcJCq8yZpRqXzzaJYmWCM/YipMwJw5RcQMnUyfKcS2da/OHX18g1MXOVXWqXlUFc4S7frDr0RiEyz0kzScU1WW65ypwuPZm/ZHi+ek1xLAniDCHVfLBcMmZz1kzmdIYBaSrx44QkkQgE5ZJBJnMWGiXCSOLaOnP1UpG2bHPcDzjse6SpJEmVgtY2dHKg5JhYpsZwmmOaOjJTaYR5Ltjv+lRKBo2yzRhFvo6SjIWWy4vn2kz8hEzmxEnKR/e7ZFLVXalUIpju0Od/+ovb+GHCXL3EtY3WbKb5NHiBSmvPgXbNoVa2sC2d+3sjJr6aGe92puQyJ0olEz9hY6XKYBQxmsakUlJ24f/P3n8Fy3aleX7Yb22/d3p37PUWwIUtX9XF7prmdI8jOUNR4oiiQiGJjJAeKBMMPSkUeleEFNITjcQnSqIdzpAjsmfYPT1tZrq6y6LgcS+uP/6kz9zeLT2sffIaXFQBKFQXUHX+EQDuuTiZJ0/m3mt96/v+RhMacz9ZmducYNBxVwnLrZpFq/7ZpT5+GgxnEePKRXjhp+wP/SfS4k7wz9/cZ+dImcV90r7X5wVPz4+Sp77+k9f3OBipM/iDgwU/eO+Q33hl+6c+Z5zkKvGvmpONZtETbuB118IwNLKgrL42addtPNug3/F49+6Yw7FKKB+03dWcAZS5nNAEG90a7bpDOA6I05w40XFM5eofRirZw61mh1e2WxxOQ3ShyKI1x6TXdldmj1muUglHs4iDYYBuaDQ8RZrUhUoAOhgFzPyErJDkeUma+aSZRNMFh2NFvtGqmc4HOzO2BzVa1QwmqURuZTXTd20LSAGBZRm4liCMS0opSfMSQxdohUTXlBFYXhYUhUZZSDXrdQzOrDXUay+kEnTkUgn1NZWYUBaSMCmeEHE8jvE8ZjiNeHC4YFqJlSxDY+orwYxl6riOwavXBvzWa2dX1zkAEr771sFqDvmD9w85u1FbEdufhmOpvvJ4pginht5kOIsYtJWY6/zG6fnvs0ZZqjSkJMuZBQlCKPGkY2jkZUUk1jSEpkwDgzAlzTR6DYdXrw3YOw4IkgxKydRP8ONM7fFCzSGVU3u5Ov9LoCgFelmSVf8/01TP0I8eCT7KanmJklzxDDT1ODCwDJ0ozknzEl0I5kECogShYRmCtV6NspR89cYmTc/iwmaT/8d/9mOE0LBNA01k2JX5oaFpxHmBlNBrOfhBhkCga4JBx8M0NGqOyb/4tXOYhsYffO8BB+OAOFGzj9s7M9K8JIhzpn5Cs2bT8KxKdJpjmwZxWhBGap4/XcaKF2FqrHVrXNxs/lz7WJyqpJM7u7PVbPDu3pxW3X6moPAUpzhBq26xN3wkmuv8FJFcnufkuTJPnvsJQsD5zSZ5VnLjco+//8cfMF1G6p7XcqIkJcnUfe9YepXw1AIkjqVzMFoyW+YIAc2agR9k5LmkLHOSrMAyNOJUUnMMnjvfI4hT4rTgzKDGj24OGVVi3jAp+MYLG+SFWkMmS5XIYBo6aS4JopxB22Npp2z06/zk1oiZnyhTwlnEIsyUcEFKpvNY3a9ZTlaU2KbJ/rFPCXTqMa2aSdlW54CsSucazSLFO9JVbRfGOUII/Cin31L7VljkHE8DsmrumKQFB5FPdXwgjHN2jpd0KjHFeB6x1nWpV6T14ikHrhNR+zJI2eh57BwusCxV+5i6Rt2ziBP1OtoNhy9dW2dvtKRRM3lwsORwEq0MwLtNh0HbJSuUIFMTYlWXeU/V+tuDGm/eFqvX850vnWO2jDmYBFzZbn+kgANU/VhzTGrVc678t6tfrf0J1kCJqu9OBCdFKem1Hl27p1ynXw2MF7FKk7R0dCGI048WmX1e4ecf5pR6vwIGaM/4tT73eHqclX0B14mfdQ7/uDhlu3wOIIT4EGHhxsUeMz/BsQzajUeb4uUz7YpIDV96fo2/8c2LpHnBdBFTc03yQjJZxAgErqPTqtuc32ziWDp7Q5+rZzuM5ypeuN9RxMkwzpBS0qo7LIKY4rGJb80zidOMg1FAkue0PAuEREM5iq93PQZtl9Es4nZFbsmLgp2pKqpsQ+PMeoMrZ1q0Gi5lqQghP7mlXqNpKFK2HxUYQkUq1j2T4Sxis1+nKEvObzSpuya3d6eUEkaTgIdHPoYGaSZp1i0sQ6ffdPEcMHSd/VGAoQksU+fe/ow/f8vgpcsDrp3vcu9gwdxPCaIMieTN2yNaVXRpq26v1LFZXmKbGt9+ZcDu0Od4EvLatTUsS+NPX99TrvlSkBcSXVeOB2GiyPcvX/mwU/7WoI5rG7x7b0yc5OwNA46nEa26VbkH6MRpzsPDJfNlvBKamIZGlD650gqUkGQ8i5gtYjxXkWb7UhInOe8/mFKWiqR37Vwbx9aJkwIEK1ecuZ8wmSesdVzyUlJ3LWxTX/1cIVSz9aMQpznv3ZusXuPzF7u/tKj4y2faHE5CkEpEcHbjo4kpeaEWS1ld53nVbcgfVy99QrzxwTG//xcPKCWsdz3+J7/73DPda5K0IC9UHLapa8RxwZlBnXv76t4ppcTzLOa7c7JcfV8hJU1LxXeXsiQ8cXcRgqSQeKZAopxrL223SDPVDHQtnTDK+GBnhoBK0Q62bXD1bJuiLPHjBIEikehVk6NVVw7vJ64afpgSpxH9tluReqdcPdumWbPYGtQppeTdyrlJoEgdtmVQr0nOGEqtvd5TDdhllBKnOVJWceFhShDnJFlJq2ax2fPwHB2Bhq5LtvoNXEu55CtRlyCPckwDTEPgR9kqmnkWJIznEUfjkCtn2nRbDvMgoVW3mPsprm2wvVbnzFpDibyOfYpSHT4Oxorcbls6YZLzV75ylkWQKOWwEJxdr7MIUs5tNDi30eR77xw++lClUrAHUUac5jRr9or8lmVPXlOPb9xzP+HWwwlHk7BStBe88cGQ3/rS2SceY1v66ncAPuRqdYrPD8IkQxOsWNUNz+TFy332RgFRklP3TExT58/f3KfISxzLQBPqEH/tXIcLm012Dhc8PFwqon5RYhvKPWKt4/G1F9Z5/+GMVsOiUTlNqetOpUPkeUmcZliGoCxK6o4alpimxniR8OLFHsNZRFo1OwEOxwHTRcyDwwUvXOzRqFkrQUFRlEwWCRc3G1iVK06aFlzYbJDmOf/NP7uLbeoMZxEbXZdFkLEIUy7bLdY6LrZpcGGzydagVsUu65zfaDJbxNw/XKyGrKWU9Jsu5zca6JqGpgssQ2d36NNvu9Q8i07dYrqI2ezXAYjzDxfBx5UYVtMEjimYBzmNusmgo9yHxguVMpXnBYYRUxYlyzCl7qrnPsoKgjSnlCUvX+7TbTgMq+ZOzTHwHAMhBFGSIVHR5os4AyRFqYaejmWodbGQ6nNZxDiOwbVzHeXo4ae06mooCupamVYJHCfXjWOriNv9cbAaQi3DlGWYIlHDz7u7M6bLhHqVKvTjm8f89d4Fnj/fYean7I0eNZuaNZOaa/DCpS57x75qki1iHh4uqbvmRyYEPThcrBqDR+OwGrB98Q+uvyw8OFhwNAnJixKhCUxDQxRU8bgqrSb/hAztFQ+oGqyYpoZnGxi6hmMZSFmwDGI6js0iSCklShhqKIHvH3zvPotANVW2BjWsqg6texatukWePyJ66ppK/fJLdc/WXZMsLxkvVPrfiZBXuWXlbA1qH6oJ7+7PV0TtJC14/eaQv/q1c5/q/VzreitXQc8xVvfCKU7xi4BKJXr0dfEJ79WfBiEUuX40j9GEoN92EELwwsUeUkosQ2N3tFTEoSpm/FNBqn/lBQih9qx5nqJrYBgGs2XC8ThgvFYnyYrKWVZZn5zfVAl3UsonhMVqdlIpNJ6BumfxwsUey1AlSj04XFAUEtNU54OTPfvq2fYvjOAtpWTmJ4jKEewXnbr4eYZl6s8kKZ3il4PDccDCT4jTgrxUwm7HUnvpdB7z5u0hWVZSZB92TYriTIklPmH7wjIEhRRolOiaJM4KLCE4v9Gh4dnkpcTUBfcPlkRxhmnqBGFCWJkX6EJjo98gTQscx+DcWp24qjf7LXc1IIySnM2eh2UZaEI8MaQ7xSlOcYpfdXztxgYvXu7x7//9N/njH+3yH//ee7x9d8y/+2986ZdOYD7FKT4uBm2V1H5+vUGcFbx8pf9MwpimPRIHv3FruDorHIwCBm13ZbTw2vU1zs4iSlniWDqjWcz5jQaNmsW1c12unmlhWQbDacRwFtH0LGbLhFrNxA9zTFNju+vytRvrfLCn+gDthkW95ZJmBWmmzhVFIXnuQgfT1FgGGTM/Yavv0Wt7tGsWaZLzzsMxeQaBIciLEWGSk2eKaO256jx2e2eGX5lwOJZBXpnByBKEJonTHNc2QCgyed2zGXQ8lT4gJYswWfUf86Kk01AJyUlWcP1ch9E05F68pFWzidMcP8wwdKGST5KcQkosQ8cWBv22h6mrGe/V8x3StODP3txHCIFpCIqyIM1Kaq7Jvb0FcaZ+5u2dGRe3W6y1PTb7Nda6nko6CZUZzCJM2R/5TBcJnabNRq+2MtnYGwbky6TqAwlAo9O00XVBUaiZRpBkSmiTZGRFwXSZcPPhlOvnOk+cufpt9+cyTfss8TS57qPO9clTc9j4Z5jcfR7RrNmrROzH58En+PDv+NNZPvsjn90jJWroNO2VE7OUj4gppqFx41KP4TTEsXQlNBBwebvFwTjkuQtdgiSj7lg4ts43X9rkzu6MRZCx3vO4uNVk7zig07SZ+jGmqbPe9xAC3rk3wQ9PUrA1dEPwxu2xEoYJ5YD93IUur1wdcDwNub0z5WgSqTlqWqLrAiHVGmFbekVSl8yDmDRTSYYlUKaq11oWkqD6vSwdHNsECbohCJJsZQao6xqLADotgS40zqzX0XWNfttlsUx47/5ECT2q3olA9W5Hi7gitSec26hxcavJ9QsdfvjuEXPfQUrVJ+40Lc5tNDiehgRRtprdF+WzD4JFqcQoy0CdF8tSkTu3BnVGs4g4yal7dX7rtbO06jZJpoy5oErWEIIoVaRQx9JJsxLvpxzl6q75RDLB7379PPtDn07D4cypiP8zh2FonNtocG9/pvZYy8DQNBxH59bDKZoQLIIEHTichpSl6r/d2ZvzrZe3iNKM2SJktIgrd3eUz4MGSJU2Mapmh6tVXAiV4mlo2JaGZYAUAj96hrtzqe4jwxCVk7tgrVvDD1NsQ6BpOkmaE0QFQhRgG/SaNl99YVPN6BwTzzHY6NV478FE1Qy2hqkrkUopZTX/VLPQbtNhu++xCBKCKKPbdHjxsuql/tEPd3n91jGmoWHoGuN5vLpvSnkiklJf91rKKO/tO2OSTPVnlGFrhBCCftNhuoh54WJ3lRDS8KyPFFM9C0eTkAeHC5Dqz+tVOqmUqufMF9/w+xS/QHiVid8iSPEc86emg3uOxdZAiZEBNro1XMvArinjUs9WSThFlfBQd0wsz6AoSlzHpF4zlZGzBMvU8GwbKTWEgDSXlUGimgVkhWS97xHHOY2aWdVVAts0WAQZw2nAfJlVgrCC7759wHSpeEr9tkvTMRkvIpp1hzgt0EQBEqaLiGWYVMnFyoRaCMV3EwBCo1O3GU/Dal/VsSyVGOTYBtNlwmiuHt+q2SzjhNFUzeB1oVLQi0KCkBSFhhCSKM4xDJ1+2+FgHFJkJZalIaXgJB69KEuOxkvuVe/tuY0GX3lhg7iqiZ5OHV6GKQejoBKWKvGF55jqdTVsTFNw6+ESXdP4ynMDfv8vHqzen1ev9lhuNoniDNcx+crzG2rNkYozFEQpb9waIqXk/FaTy9vt1c9tNxz++jcusHu8pN1wOLveUAmKcZvGM2aoJ7MTgIZn4ToGUWU2dn6jSd0zWQQpNdd85uM/Che3WpzfbDCZxximzjdubFTiV5WsdNor/tVAq2bjOuq8rAtB9wuYLrV7f/6hv3v3wS6vXv1iififxhfxFnMcjTB6dM7Z7n/xzhOdpsP+KFilVg4+ZS/kVMTxOYVjG2zYBlmuHCF0XTBou7x0uc9G1yOIM7YGDQxDI64I3VfPtkHAIkzYO/ZBQL/lMZyGLMOUoigZTqOq4VZyYavJaJYwnIcsgoRB22HhJ5zonHQBdVtnOAmRKFftJFPFjSJaCwxDJ0pzdoc+SdV0TNKcKM2xDQ2/lJRSKlJzRVI5noV0Gi5CKEfRskwxdKXGNE2dMFailEWQcGl7UBFGlDPp+/cnDGcRQko0TUeSk+UFrm0QJTlrXU+5gc4hiHP2jpdMlzF5Idk5DPidr5/l1asDdo6X7B4tadUs7uzNyAvJ9XMdJOrw2vQswiSn3bBZVgdSTShV/6WtNt99Y58kzTF0Qd3R6bYUgVUgmQfph0QXJyilEtmEsWqG2KbObJmy1i04mgRESUbdNdnq1dkZLliGKec3mty42OP9B1PSTKWglCWkFRleaIJW3WZ7rY5l6OwNg1XTPEpy5n7KjYs9FmFaub2aKzLh7nDJaBatnDgsU+fFy338KMW1jJ/qajycRquDbpara+uX5bB4catFu24zDxI2eh8mDj6OFy/3+e6b+9Q91RToNFWaxM/TUP7e24crt8ujScjtvRkvXPxw7OsLF7u8e29MXkhadYvnzrcxLYOsKLl3MEfXBEmSczQJVEOxlBiaRr/lKReNGggEizAlSnJ0XXB+UCdIcrbW6ty42OX7bx8yWSRomnLKch1TxRqaGhKBa6qmS1EoFxndUGcQQ1NN18kiwTbV/RRGqXLoFIqAjVAuTa/fPOb9exPSXMV4D9ouk2VMnKi435sPVLxVmhcqKahfwzQ0PFuJpdJMOY7alolj6xBkCKEiA5sNm+1enTgr6DVtblwe0KwZ/NMf7ZIVJb2mTVkW+KESWGQ5hHFKxYHFjzL+vb/3Bn/7Ny+x2WugVzFVnmM8drhVbahmzWTuq2QgQ9dp1i3G85g/+dEu/bar7n2pDi5bgzpGRX5+6XKf128dg4QLW02yrOD9vTlUB9sbl/qYhsZLV/r8+Vv7SKlciU6aMw8OF+wPfW49mLI/Dtju15Qo7BkQQnDtXIe5n6Lr4hMdkp6FuZ9UCUb2Lz3G/FcNa12vIjSqr3sth+cu9jiaRMoZIinI8oJ3746ZLGPqjsnMT1kEaRWpBvMgJYyVgAMpMQzlQuVYOpqhgZS4lkpgqrsWl7Zb3N6dISVMFhGLaU4pg5WzvmloaJrg7Tsj4jRnvethWwbrXQ9dF9zbm7Oo0mKyrOTrL25Qc5QbXqNm41g6vbbHt1/dYr5QRLMXL/fZOQo4Ggc0azbHE7XnnN9oVO4YkrWOGkDUPYvttfoTrpOyuv80IWg3bJqeShQ7Vzk0FVKy8FM0ocSPJ+v540PALz+3xrt3xyyCFNPQuHquvXKuyvJSOQEWSjjlWgG/+eoWYZxyPI3Ic0m7buG5bTa7NTRdY75MMQ19leyzNwxZ79YQQr1OP8pJckmUZIRxgdBUjWQIwVrXY1JFwNdcg3bdZlztq7NlopraUrLW9hAI+m2XjZ5HEGX88zf2uFUlR232PbbX6pxda1SEeFU/nQgqL223OJqGGJq2Eu2q9K6cKMn54OGMTtPm6tkO3yg3uLu3QFTv4cEo4Px6kzODBvcPlKPeSe3kV67oT0N8BCn3FJ8cJ9dknpc8OFqQ5iVFUSBLQIM8K9XA9BNys5+eN6dZSVIJa/NC3Wme++j+0YUa+CBURPC79yesd9T+fHdvzma/RpzkWKbOS1f6pFmBZejIUvInP9llo+dxabtBnEqiJCfJcnpNh3fvT3jhYo+bDyb8+H2VflX3TP7mNy9gPVaPaeLRPhelOTM/JoyzTyUOWu961F2TNC9o1uxnJgGEccZsmeA6Bp3GF7BjcYrPDSxTZ73rcTRRIqQza/XP9Pl1XdXmUZoTp2ptNg2VRtmqL/n+Oy5FXlYpcJ9eQGIZOkrIoc5vmoA4LWkasAgy3t+ZMQ8z2g1n5aALyqFqveshhGB7rb4ib2z0vJ/pFudYOssQHh76FKUiWEzmMVmV1lWWkoNR8AsjNd7ZnTOpxJLdlrNKozzFKX7ZiNOct+6M8cOUumdx5UyL3eMAUMSeo0n0kXd7kn26daDmWZRFCbLATyRFUZKXgoNRQOOcDQhMQ+fquTbTRUyzEo2jZSAlnmOw1vHIi5JmzeJvfuviSvwtUYTNE+i6tjr7nuIUpzjFrxs8x+Tf/Te+xEuX+/yHf/9Nfvz+Mf/b/9sf83/4N7/MS88wfTrFKT5v8ByTl670CaNMObl/AqLis6BpYkVs+qtfVQn2lqmtjFpGs4g7HwzJc2VMFaU5FzebJFlOEGYMujWeO99mfxigaxqLIOX1m8dcPtMizUtcSxmvHE1C+m2XV68NlOv27gxd00iygr9464B3H055ZA4qmSxjdCEwdYEUGqWUTBcxaV6oWWUJWa5c76MkQ2iPCJd+lFMO/aqXWFAWkrQoiUY+Uz/FMXX8vFBGVRrkhcSzDd67P2E8C5kvE0xTo91wEBLSQvWFZAmuaWIYgq1+jUGnhqkL0qxgu1+n4VkcjIJVgrsuNM6s1dVrTAsORj5RUqhUDUMlZPRaDp26w1u3R5Sl6jMejgPipEATECUF37ixwf2DBa26zbde3OA/+cc3SQtlQNSoKQO9Vt1mtAip12wMU6MoJOvdGtfPK2O3RdXj/rwK1vptl+EsJE4KDOOja9Wv39jg9u6MMM7xHINvvLT5l/xKf36YhsaNy8pQ4WQe/Di++eImDw+XJGlBzTP56vM//XfcO/ZXfx5NI9a7LklmI1CpEiewqxTsjV7tiZ/dq957IQRBnNFp2NiWgeeoFPE0K6segU2eF2hCI8tKxvOE2TLh7u6MopRIKXFtdWaZLkOQAl3XyYuCpmcpkwkpEZoinGoaKzK5V5kmNes2QZgSZ8qd//GTlRDqXycJiYYGWQEizei0XIaTmLJy1d7s1/HDjDDOyHJJu6HTbtpcWG9SlBCEGZr+qLtelKoHk6Y5zbpDzTFXM/UrZzq8dHnA9qDBT24ds3O04GgcUfcsNvvq/h7PYjRdkeOlVDOP0TxS5pbVXLvuGhyMAxDqvNlp2tiWzrdf2WIZZuyPfC5vP0oTWOuo3mqSqd7qaBbx/XcPQSri5ie9l3st91MnLp/iZ6PXdGg3FJdBSsVhqXsmrmPw4GBBWZZkRYmmq/lYmhWkuYalayzDlDwv2B9HK+OvrFAJ4VkBuiiZLxPyolD3QWUYVZYlQhgsggSJoFWzsS2BH6jnO6HZGRorPkO36VDIkkHXpd2wqbkG8yCtxEnKCR80isq08Y9/tANC8L3iAMvUWPoZSVzQqBv02zbrnRpTP2UZpCsDKyGUUUvNs/nXvnOVRZhS90w2ejXevz9ZOb9neYmmCXRNzed3j31adZvr5zt857UtsgK2B3WOp+FKkGZoGt2mRZYrsvHBRBHFv/f2AYauYRo6hq7xwqWPb2q6N/RX7VzL1NTMpeo1/7w11il+PeA55seeoX3nS2fYGwbsHC8xNDULPLNer57HwHUMsqzEMDW6LZcozUlSxVm6vNXivQdTQNKrO+wPAxxL3XNJosyPy0pUpemCc+sN8moemeYFe0OfJC3YXq/hRwVxdV8tfElR+ARJgS7U3rg7CijykmWU06qbLJOCsqTiBikxBQK6bYcoylY90/NtmzfvjFgEikPQqllc3GqSZgWeY5IVBeO5En7GaY5j6ni2QSlVHdGu2ZVoRInCbcsgTnN0TfDS5R6j2W4lYjHZ6DocTUOKoqDmaCT5o319vkypOwZvfnBMp+HwtRsbT3wOh+OARZCQpCrh0K8MtUGdL/70x3tMFypV6cHRAoQyBtU0wTIq+NbLWxwMfTYHdb76wgZFoTiaDc/iv/+LBytzyLmfcnat8cRaYls6vZaL6xiVoey0SiIR3LjYe4IP8PTs5IWLPRZBgmXo1CoO0aeZ3zqWwb/ym5c5HAc0PItey2U8jziehKx1vVPDyF8RbHRdHFvjeJJjGBoXN1u/7Jf0ibE5+PBrXmt98VPsNfOLx/GRT+nUw+SLl+ximzqXtpocjgPaDedT90ZORRyfYxSl5PWbQ44mIbomuHa+zZUzHQYdjxPfZD9Mee/+pCJwxmR5gR/mXDvbZjiLORgHjBcRcz9B0wS9tkPDtTBNQRQXbA1qtJs2UZyyDDN0TTn0nTT0HlZu9UJTBzpZQLvp0HAN2g3lqDP3Uxo1C9sQzP2EJCtJ0pJpmVBUaRD39hccDEMm85gbl3r8L/6lF/jP/8kHjBYRDc/lzFqTmw8mjOchhq5zaauBJuDP3tivosRsdo98lmGunHWkxCyV84bnqAQJXdcwDQ3XMrm01eL+4YIgzpBSNYOLUvLwyOflK33OrNX5vUVCEOccjAJcx2CyiBnNIgxdY+doyaDjMV3Gq1jhdt1GCMFwGpGXkjDJq0LOYHutRnHoU1QJA6NZ/KHP8+HRgnfuTHh4uGCnOix6toFtabx7V6VzvHtvimXqmKba6F6+2qfTcCklvHRlwMJP+GBnxv7IV9GpVRFl6CpFQdMEhvFoUT4cB4znERe2mjx/4ZGoYDhTEXbLKOPu/pxmzWbuZ3z9xjqmoX0sspuuP7n4/7IjHztN56fGCJ7g4laL9W6NJM2puwZZIZUj/s8RbW8/lbpRc569tNY9i7/2zfMEUU6rZjPxUyDl4naTUkqWYcZoFtOoqWZMmpW4ts7VM21MS+P+3oKFnyBLiaELbFMnrxxwoyjne28fM/dTllFKkuZomqaEGppyzIiSgiQX3HqoSN8nsb+moSE18GyDoizJS0BK8kJimqoxOpnHStQUpHywMyOIlVjrzFqd9V4NKof6KFEEtDDJSJJipdj+ynPrfPWFde5VceSdhlKd39tfEEQZpqFcApo1i/2jAKMin8dpwavX16h7Jnf3ZjTrLvNFyJt3Jxi6VsWhlpRVF0SWKob8J+8PMW4ookmWF7TqquB65+6Y6SJW4hGh0W85dJtK6T/zE2p2uVJFNlyLmmNwZr3B7d0Ze9Uh8cxanb/zm5fJi5J2w+H9+5NVEybNShZBQq+lSNcbPZckLZ+4No8nIbvHPkITZFnJaBZzYbvFq9fWnnndnKyBPy8mi5jbOzP1nEOf5y/2ToUcnyHqnqUGa5V7/c6Rzz/80zv0WzaXz3TYO14yXqRIqUSGtqkzqVzsx4uIt+4M6TRsylKlMaSJith1HZM7ezPGixhD11Zr7fMXu1zabrPWHuJaJnM/wdAFhqZhmypOud92mS4SFRcv4PK2zXMXunzvnUMe7M85miqxAqj9oFmzefX6gL1jH8vSuXamDZpQ6wkqUvloEjKcBpiGhq4L3GrdsCyd33hliy8/t0anblOirl37qUakaajHJFrBIkjxo4yjSUgpJRe3Wlw/1yFOVX3y3bcOSNOCy9utJxLL6q7Fv/Uvv8jxLGR/FPD27TF5WVKzTTo9jzgrVYR7Idk9WoIO+6NQuWzkJWleAIIkK7EFWKYgLwVxtV7VXJMsL9geNPBcg5/cGnI8VoO+k7CVvITRPEJD4+WrfZ6/oO6nC9tN/skPHvLe/cmqqVJzTB4cLljvKecTWRHhgkrAsQhSHh4teTHK2Tn0Ob/RxDJ0jichWV5y5WyL85vNKn2o4PxGkwdHC5JENZdOSKnThXIYOb+p9rnJMmb3yGe2VNG5L1zsraLjTz6Xj9q7z282+WBnSlEoIu9pU+XTQ9PUkM2vnLMpod92mPkpaZYzWiix8c/r7S+B+TJmtlQDgVbNYbPvUXMt/DBj0HbotTwmy5jJXCXijWYRg45K2rJMHU0IHh4tObve4OKWal58/aVNrp5rk+YFG706UVrwZ2/sYlsmtqERxTlhnHF375FjhR9m7I8DLjzWtLmw2eDBQZ1bO1OiJOfyVot37024cam3SqqbzGO21+qrn/04xvOI9+5PsE2dV670qbkmNZ59XUZJzrv3JitR84Wt5mmS1Sl+LpykUWhV0uNniYORzxsfjEizgnbD5ms3NihLyZ3dOe8/nFB3LRbhjDT/9KmBui44v1EnzyVHc3VO1YQAUTlWGRplqWp/P0wppGS99FaEhxNs9ev0Wi5SqvPTwcjnzu6cmmvy0uW+EopVkFLy/oMpQZQxnIakecn2oF4NUB8952d5hpRScjAOSNKCdt1eDSEAJvOYYks+U/T1l42ilByMfLK8ZP10cPFridEsYudwQVYosuBf/9YFvn5DR9cF/8F/9ZNPXRMYOhQVGeNpz+A4KSiKUpk95GXFypAcTkLOrrcokRSFWofWOh66rtJA655VkTgkV8+1sQ0dw9AI4pwLmyrdJctL5n5CGKv0wVMBxylOcYpfdwgh+N2vn+fauQ7/l//4B+we+/yf/oM/4+/+znX+7u9c/1zUI6f49cNwGuFHKc2a9ZFE292jJfcPFjRqFi9d7n2k6dDTuLDV5HZFtN6ujJBuPZyq9N6Ox4Xt1mo+cb6qH/wo463bI6aLiPE8xjA0tgZ1lkGGbehYhkEgcuI0pyhB15RZw/sPJhxPQ7K8wLMNeh2Po2nIg4MFax2Xh0c+f/ObFxg3EspSsj+cMq6cx0+Q5GBoEikkuq5haFCzDaK0IM0lrq2TVSnAUkqKXBFPTUuj4Vh0mg5xlhMnBff25uSFOuuAqoscS8d1TAxNkV7zoiDLc0azGNfR0TVVd233a3QbFvcOlsRJgWlqWKaObems91Sy8d44IIhztPeOGLRdWjWbs2tNZYC31eLbr23z4GDB7d0pw2lIVkjiNOPhkYNp6KsU8vNVKp+UcDyNsE0d2zLI84J/8oOd6ly2pFmz+GvfPKdIdTWbNMvZOVqi6xoXtzd49+6EMM6xTCUgeZzEugxT3rozUn2ba2tYxi93Xvg4TEPjxUt94jRfzZKfhW7L5d/+Oy8znoX02h6u9cUk2Br6R894N/t1/ld/+0XGy4S1tof1M35HQ9dWZn6GobHVr7E3CtCEeGb/7nAUPLGOWKZOUUganrUyKLu7p4Qyw1lElOQcV8kBh9OYOM1puBZxkvPBzow4zclLSSlL6rpGEGeEsSJnG6VEaAZ+1ZfcG/rsHi3IM3UfRnGOJgQSuHyuhWeajOcRd/Zmqify2MnLNAXIRyKOE/McKSGMlJkkmsA2dEaVWaZjm+h6ieeavHJlgGubqke6X2LqAssUROmj5ysLSRBnyp1VE8x9xe84v9Vis1ej07SJkxqWYTDzE7K84GsvbHB3f850qVJGTUPjnbvj1WcSxBnnN5osw4zttTprmcvVMx08R+ely32WUcZ79ydEccb+0Of6uS7ba3XFT3iMGNysWXzjxgZFKam7Kq39p5k8nuIXizwvefPOiDDOuH5O8YJuXOxxNAn40fvHhGlOmCi+TJTkStRoihUXpigkjq3R7zi8e/dk31Qu+idJRCddxkIqopxlqNnmo/BvUSVLlSoxytKp1xxsSyfLJWVZIoVWCax0Nnp1CimJY2X4ejAMEZrisFiGhkCoxJhSGZwGcc5kGWOZemUQWxDEmRJfhMp0btCGtbar7ifdYG+4JErVLEIJDC2uneus3jdD1+g2HTa6Ne7uq1nF115Yx3UtLle1yImI9PHHPI6aY3LtXIc//OFDhtOIjW6NvSplptdyySsjuI3eo/vjcBxwe2f2zP6ooQvyyve103R44UJXJamf3l+n+AVA05Sx6UkCg6Erjg8onlvNNfFlRs0xsU3Bg0PVsy9LyVrLYbKIKKRk0HGo2Qa7wwBNg17DZh7kSEBIJUysOUoI6NoGe0Of0SyiLJXxqm0KylKJzgxDsAgzyhJyAUfTkFbNIi8khiaY+xkb/RpZVuC5Jhtdle6bZAXnKn5Ou2GjCUGclEzmMUmm+puTRUy76ZJkJaZZ0mt6mIZBUSge1SJI2Rn6KrVivcGLl3vc21+gaxqXt5vYlk6cNrAMjf1RwLWzbZJMJXfVHCViS3PBVt/DT0qWvjLFLMqS/+c/+AlhKhFCMJ5H/M/+1o3V57DwU/aHilM0WSSkeUacFEgpmcwj9o7DVQWyCBIGHSXqSrMCP0rZPV6SpqrXGif5as8GmPkJcz9BQpUeVEI1r4qSnB+8e8TcT7BNnW7LWRmPFoUSsW/Z9err8kOzE89RXCzPMXn5qbXsk8KxjNV8eO4n3KnMcJfRHEPXPjPh9+NzlrWOtxKfnOIXj53jgCDKaXg2mg7vP5jwO1//YiVYLJLoQ3+XfwTv4IsEKT6fxgo/DeVTsfM/zzz8l4UwzvhgR/FwF0GGaWifSuR+WiF+juGHKXeq5ifA+/emXDmjDiNlKdk5XvLwcKlivnTBW7dHVbFRkBWFai7EGUGUMV7EaAKGs5hB26XTsHnxKz3u7i/Ic0Ve7jRtLm43ORyFVcynIofnRYGpqSQN19FpeopoXfcs1touyzAjyQpmcYFh6pRlQREpF3AhIE4ykqzEs3N2jnV2hz7/ym9e5u/+zjXevTtk5mcsgxTLNKh5JhqCtJC8fmvIIsiQKGVsKSV5UeDaOmmmXHV1TdCsWUz9hKwoORiFrHVdzq43aNYs3rs/ZrpMOJqEHE9CtgZ1OtVQetB2Gc4iHFvHdQyWQapIsIaGRJKkGXM/pSwlx9OQtHKk+M6Xt2nULDZ7tVUk6VrH49aDOYWEJI3xo5SDkc+btxUhRyC4szfDtnRULaXRazrUXJO7e4sqWlnF3I5mEZqm4nXadQdNUwW2rgnlzo5ScZVlSZyV1FwD1zawLZ3zG82KfFpyf3/Bw6OlcgWvyDonQg7b1ImSnGWQ0mu6rHVU/OvRJOLi1sdz+t/o1ghj9RyNmvWFGtR7jnJoAjA/g334r33jPP/tP7tHEGe8dGXA+Y9QmtqWjmuZuJZJmhU8PFzg2uoF7BwtEaiGix9m3LjUxTVVGkq7YRPGOYeTED/OsS2dpmdSojFdJNRrJoapMRoFSMnqOV3bwDSVi3YQKUHTdJkrp21DJ8oKyqJUaTdSYmcqtltSNS4KdX0naUlZloxmIVkucWxDpYToyv3KNnQKWVIU0K5bHE3iVeqASCQLP+Mf/MltXNtg0HboN9uUAr775j5RlJMWkjSXWIZkukhYhCmebeDYJj96/1iJW+ZRFecqSbNCRX8HKUUpObvRYDyLCeIMTVNR50LTmMxDjsYhDw+tarNMeOOD0erz+CtfOUPScjB0jTdvDxnPEzp1e3VtgCLmnzS9TjDzE7YGjxo9tqXDI+NRlkHGcBrh2EaVAvJhwVOSFmhCcPlMmwubDX7jle1Pff19XMyrSERQzeeFn5yKOD5DHE1CCilXzc9lmCERDGcR620XP8pp1EpsS6dds9nsqVjTZZgRzVQM/eUzbfKixNR0NE2n1XCJkoxJlU7V8Cy+/doZfucr51aH52+9ssX33j6k13JI0hzHNgjifJWyMJpXQo3KQefP39rnL94+VHvbLMSxDQYdjwubKgnj4laL8xvNlbBt93jJ7rGPlDCex9Rdgxcu9vhRfIxhCM5vNLl6tsV6r875zSbdnyGm82zV2JktEvLykZhgtlTXpxBK5NFtuqx3XIJINXCAat1ckpclm70aZ9Ya/Dd/ehc/VI0TP5rzyuXuE8KRQkr+5If7JGmJKFXCxEliyqDj0q1qgjt7c9VMFoJOwyaIM/ptl7IsWVZpJatloFTuXEmm0o621+q0G7YakNVtDkcBcz9RorYkJ8kK0qwkjDIsU+fmwylrbZcwyfBsNTxSzZuY4UwNre7tL+g0HZqeiaHrLIKEy2fa3Nubc+j7dBsOTk/neBpxPIs4u1Zn7qd88HBKs26zPagTDh+lgqk1MOXcRoMsL4mSnH7b/UiBWLNm8eXn1ilLyXAW8f79CW61pv08osdfR+ia4PJ2izQtmJoa/Y7Hg4OcrFCE6bxQgzzxc76tUkKcqtpbCCUU2V6r8z//Wy8ynIWrpmGaFhxOw6oODtE0weXtNn5UuRpUIs/H8XgMqmvpnF1rMK8alkKoYbhp6jw4XJDlpRKNP5YcFcYZu8c+22t1irJkEaTEWUGtUH++tTPlH//ZPeJMOdP83b96nTOPpbvFac4ffn+nEmApYsBvf+UcyzBlb+ija4Kz640VeWARpCsBB6j15VTEcYqfF7+o4doHuzNGJwL7ULknTZcJ7z8Y8+btEYcjH7/ahz4tbFMjKwWWpbPV96o6VCU7ba/VuPlgxq2HMw7GPtfOdthea2BbGoahc+kpUsbJHjv3E/74x7sUhSROcu7sznjt+hrnNpqYhiJ5BNW60m05HE5CDENwYbOJoQtGsxjHMlZJXJ8Fdo6WHI5VYspwqoZOerW4mob2uSFM3tufM6nO55NFzMtX+quB2il+PTD3U5p1WyWroowG1joq8WayTH7m4z8KVQtP1RSP9bk1wSrhLYoLqm9bPWaj5yGBKM5pVOdf29T5q189y+s3hxSF5LXnBjS9R3Xj4/X2SXpQUX4+hFKnOMUpTvF5wYXNJv/3//1v8R/+g7f4Jz94yH/6+zd58/aIf+d/9Apn1n45adan+PXEaBZxryIzDqcRmhBPGA6VpeTtu0P++Id7WJZG3bVIs4KvvrDxUU/5BFp1my9dX0NKZWTx9t0Rb36gkh8eHi7IpeT6uc7qDF+WKs1+52ipyEphRqNmkVepwlGi+ppZroxRgiin5hr4ccrRJCBJFeloWKqU+t1jnyQrVmZnx7OQK2faPDhU6RIN10QTAk1ISqkEr7oOQqi5iVczaTUdln666od4jslkESOlRNNVuuhGt64I2KVktkwJ4wxdV0LcvcqwSUhJkuZ4jsWg49Fr2rx7f6xSCKKUeSCpOSZ11+Tidgs/TJgHGUmqDOPmfoJtG4znlfHPLMbSNdVrXMacXW/ylefXKcuSumfx+s1jRrOIw1GAEBqGLlfzzO1+Qwltk2wl4gBlsjFZJBRFiWWYRMmj/uFkGaNpKv1D1wRfv7HJb33pzOr/112L3eMl7YbNy5f7/OEPdwjinBcvdfjnb+yTV2SLRZBw7Vy3SgS32Op/tomWnwaaJj6WgN619F/5Ndp1Lc64H28OfOVsm3v7c2QJZzcadJsOm/161X98svYfzyP+5PXdFWHwZB2xLYM7ezOmi5ggzjF0ZRal69qKR+CYBqauTB8kkkKqOSCo3mqZK8GCLpRZTlGlEDumzt6xz9yPeffumBKhTON0Qc2zcAwwTYvpLIKGoJSSdtMlTHIIM7JMCUJMTYl7siKlLJ4UceR5rlKxc3WPONUsXtcE40XCfJny45tDtvs1dF3j8nabKC54eLQgy/OViMw0IMslRZljGzqapmZHfphAr8Z4FrMMU0bVrGDQdokSla7ea7mcyE6my4TZMkbXH5ls7RwtubM7xzI1XNvg/GYfyzK4e3vE8SRkGaarRHY/znjhKYM329QpqrmyVonuTvHLw3ff2ufh4RJQva5/+duXqHsWNdfi6pk2RSm59XCKKFj138pCAMq8odt0ePFyh51hiB9mZFlGkZcfSvY+QSFBVulUeaFEG5qQRJWpmZSS8SyiLEvyUmKaOkUhsAydhmcw6NaIEiXMMjXBbJkog7OaxXq3RsMzubzd5ofvHeHHGZ5rMl0kHI5DWnWbPC8ppXzUz6/Wl07dxq54Dn6QkJdylUaTZsUTM+/ZMiFOc+Z+yguXupxZ82jUHtU6ddd65ixs0HHxo4y5n1BzTTZ7Hj+6eYwfpkwXMWUhqXkW9cfWzMeNPRdhyh/9aGfFIQjijG8/Nu+/vN3m7v6coijZHjSUUcYpTvGXAPepWYauUyXfqUS1B0cLkkzxCad+yh+9vktWmVTOFilrHYt23UAgKBHYjkFZqKTtmmvyyrUByzCl23Q4GPmYuk6hldiWAUIghJoL1FxTpcWlOXp1BhFCYFamxBu9Gt2mQxClDNoejmXQrttIlCFmUZZ4jokQanYSVrW4hmC2TOk2bEDSbtj0Oy7MVLJeq25z/2DOcBIikdiGxr/xu9fZHNSwDI0Lmy1+/3sPWAQplqlEYcsgw6tub9vSeeFSj6wy3rp/sGBaPmq2zoN8NdR99/7kyfe+4qGlWUndM9kfxoznEXlZstF1sSyNhZ8ihGBrUOPlK33evjNaGWO+c3dCzTGYLGPWui7ffuVRLW4ZGnGag1TpHWGS8+BIJa+UsmTnaLn63jgvMIQgqZJKLp95NOc52etPavc8L/mTHz9ay8Io49uvfjR36XG+xla/TrP20WvbzE8e6War885nJeK4vz9f8SBP5yx/uUjzAikfGYzHaf4zHvH5Q8142gYLvM+CPPrLxhewjM+e+ijS7It3Pc39lHt7cyZLJYprNj7aQOWn4VTE8TnGSazW6uvH/rw39DkaK+X88TRU6RlSYpkaNddQG64A11JRwlGSI2SJHyjX3/E8ouYo9+wTt/s7u3NcW0XkIhSh1LZ0kixHQ9BsWHzpWo9+t8Fa21WFkKwUjuOAH2c5BZLhWMULCk0gS0mcFuiaJM0ywiin1bD44OFUpRHULd68PanicCTduk1SuWTsD33MSgF/PAtZ77gIAUal3L9yps3ZjQY3Lnb5//z37zOdx2iaRqdhsdWr8Qc/eMjhKEQ+5m68DFIOxyGaEJimeu5+FSmWZgWOpatDIOC5BjM/JckKdo59jCqq9M3bY84OGjw4WFLkJf22S8uz6Ldd4rQgzQvevTvi9s6M7UGNe/sLNCHQddWAPrtep1GzGbQdglg1Qx8c+uwczjmaRHQaNu2GQ56XNDyT7bXGygHVsw0Qah6/3quhC0G35bA9qPPK1cHq+njufJcwzleEIGBVwEgpuXq2zcOjJWsdj2WYousqYrbzU9z+wzjj3v6CPC/ZGtQZdNyV+/fHuZafbuh9Ft/7ecFGr86//Xde+pnfd2atQVlKwqp5vfDT1e9rmzpCCEbziF7Tptdy8RyD6+e7jOYRd/YOSarmuXKu0nEcc+U4MRwHjGcxdc9UDZbKKdg0BMsooyjVe5tlKko1qYiemqaceDVUge5Y6nWkWanc5nOJZWmUpQCpyB5RlXCjCbi3P2MZZiq1Q9eYLlTUepTkCHGyPvikWUGjbtKu2SR5yXAekabKcUYrJGleklfrUVE56xg65EXJ0VTFjAdRhlPFAM79lKK6t8+tN/g3f/c6/+BP7nA0UcTUQdtlvFAHLzPO+Ht/eIs4U64h6z2XIC74/rtHq+jA9Z5Hu+GwNaiRFyWOrdPwLM6s1cnyEiFYNZ+fVnGfq4imcVLg2DrHU0UeWwQpAlYOYye4fr7D3tBnPFf358xPiZN8RQ4sS8mDwwVzP6HuWVzaan0mpGk1pHi0Jpyq0T9bhNV9doITclQpJRM/wdA1DsY+AhUvrZ9EagtJlqvkCF3T6HdcOnUHzzMV2XrkM13E2JZKbvjJrWP+xjcurH7ORq/G3/6ty/zt37rMf/mHt7i7N6fbkHzluQF+XDBbxtimjlY1OH5ya0ieFxiGTq/p0GnYvHZtwLnHhnlPLMHyUf2R5QVCmNQ9k1evD+g1bWquRVqUq/XhcRSl5N7eHD9SaV9HY5/9Siiqa2qgEsZqzai55hPr/3ff3OdwHKz+3PBMHlbDiLKU7LV9fvO1M6thziJMmS1ipsuETsNm7qdIVFP37dtH5EWBYWhYhkbDs7i41WA4DSkqkZtj6vRaTpXqpXNx02Vrrc7tnRmDtkuSFoxn8eN8OJqeRaNuY5sGzbql1nip3C78OCfLS3S9RNcESZZzPI3YPfZpeCb9lstmt0ZeSpo1iywr2R8FZEVBUZaAJM/LJ1wP667JS1f6al2cqGFOr+WQpRlpnuPYOsswYxkqdXfdNZnM49X76jkGpqHz3IXuM6/hZ+2/yzDlwcECKaWKqK3I8qf4ZOg0Hb71yhaH44AfvHekBuJ5SRhDEOWVe422Eut+UtiGIMklslTO22VcsHPk06pbvH9/shr4bQ3qfP/dQ+ZLlbyxPWjwV792jlJKfvz+MQs/ZbaMef3WcNXwenywUJayEp+pZumg47HZ8x45L8pH33cCKSU3H0xXLt339ud4jklYDW1rjsFPbh4zXqihSxDlvH139ISIY+6nKwEHqJo2L0puPpiuflaaldy4pMTKNUfVyyev51SweIrPNeSTf0zznEWY8O7dEQ8OFkRJTiE/8tE/E0JAKVViZp5L1roe7bpJXpacW6+zOwyYLlXS32ShzsprXQ8/yjiz5nxo4HMClSYmyYuSyTImyQpFNCol1851MA0N29Q5HAfMqpr2hYu91Xpxdv3J+vjxmqFVt7mw2VztSYtA7UVFKVF0DmjWbM6t1zEea8qfJFyd4MxAkawEfK72rhNxCygXLJWMeDpc+HXCxc0Gr99SpADPNsiyciVKzn+O/vTKXU21A7FMDQEkVfKGRGCYKnlXSkWKOL9Wo1GzKArJRtejUbPQq/rz7HqDv/Ubl1fPvz/01f3smmz0PiyOPBVwnOIUpzjFh+HYBv+7//FrvHK1z7/3X73BO3fH/G/+r3/Ev/qdK/wPf/vqaSLXKf5S4D9Wf558/biI43AccGd3TpTmRCnomrYSMHzcOY0QgiwvuLsz5yc3j1kGSphxOAr4R392j1v3xysCahApwybHUo6zzbpFzTVZ69W4cbnPBzszOJlrCXAsJcj2/axyn5fsHPtYVUpwFOeYpsbu8ZL7uXIE/t1vXuCly31euTqg1bCY/t57LKIMy9DQtJJSahiaSh4ztCq1TJb02x6urVOUkuEkrAivAoQkiFL0Kjk3SDIoQdNKDM0gzXNAzXhs08C1daQsidKCLCspSpUjfpKaXnNMJcwIEnRNo9t0GU5CNF3gmKq/d3Gzzs6Rz+3dGYOOx0uXe6v3O0pzbu3MVvObOCur1ORHn8doFmCaBluDOttrdTVrcE1uXOyyPw7Ic0m9ZvKPv3uf2STAMHXOrCmxxePJJY/3Jr/18tbquvinP3yIlGpm+fadycpcC+BBZVwUJzmea/KtlzT6be8LOfv7ouDnfW/L8sk+9AkE6noqKUFKJWyq6v6Tn3ny3/E85nFaw4nD82gWMl0kHIwCFkFGq24SxDmOqdNu2LiWCUgubDYZzdTaU3MNFms1hlPVAy+KgiQrsHQNpEoctSydOC25vz/HjzKiTKVwF6WkLCErSnxNYOlq9i+JEUiaNZM89yjLkJiMQirzi6IUNByDrKjI60L9nCxXxl0n766mCTZ6NUVKjTN0XaWsFnnBxe02hiHY6NeYLJRorgSSpABdUDN1TF1DVmKrspT8V390m2++uEmalbx1e8jMTzm3XkeZbEqunG1xPInQNGU+9V//yW3VpxfKkLKoUlWXgTKpdCseATxqOaVZWX1m6i/DKHuiX3rlbJuHh0vKUrI1qH+mqamn+OR43B29KCSzpeqrHQx97h8skFKZyOV5QZgow8AoVQkwNcdEaBBnZbXnSfJqdqdpj66BJ1Cq61rXlVmjoWmYhiDN88rtXX2bH+VYukrfOL/ZIM1UTzA6XOBHGWmuTNsMTZBlJXlRsgiUI/w3X97ipct9fvT+Mff250RJjm1qzP2EZs3CMXXKoiQpSroNm2bd5vrFHoYmuH+woOaYZIVkGaZqXiEezbjTrOAH7x0ymcVoumDQcbh0psNwqmoJTRO4zrP7m0IILm0/IjanWcHdvTllqQwZl1HKjUs9Bh2PumfSbTpPJB1N5/ETJpDTxz47YJXOcYpTnCBOc+7uzUnTgo1+jY1e7TN9/qf385Ov40yy0asRJymObXF3d7baG1aJDtXmIbMCP85BCoQAz9LY7HhMlhGubfG15zYU962qB3oth4NxUM05BV9/YYOjiUqbsEyN3aMlhi4QCGquwbmNJnf35qx1Xf7Gt89zb3dJ5JmK2C/U2STLS7bXahzrOrHMQWg4po7QQFQvVZYFDyvRgh9mnN9o8Nr1NeI0Z9D2+Id/eme13O2PAg7HSuQMMJpGjGYhw1mCaxt8+bk1krTgeBpxfqPBw8MlO0dLtcdGGa2GveJOKPGkX00pBK6l8R/9w7fYPfLptVx+95vnHgmCBbzxwZAwzpDA4Thks18jCDM0XWOrV+PlKwNMQ2PupyuDqjwvwVZnlMex1a9hVOtwu27xw3ePmPkJuibw3CfnonlW8PqdMfMgYb3j8eKlLu9OQrKsZKNf47nzHR4eLdX+IFglGMGTvMJn1Ze3d2f4YVa991Neuap+h2eh7pocPfb1Z8lP8p+as0TJF2POIqWatZ8ICC9ttT4yKfDzirMbTc6tNxjOIgxd40vX137ZL+kTI0g+zMlIiw8LO75oSKMvngBCPFWbftxU2M8ThtOAf/bmHlGUY5o63abFc+eezcn6aTgVcXwOIaXkzt6c0VQlMtiWgW0ZXD/XXn3PiSPMyfDUMnV2jnwmixhD1/j2y1tousZoFqk4QkPnYLwkzQvyoiROCqZBiu+nzIKY8SxWJMJcudGc6dd5eLwkyQps0+Arz61RItB0g27D5tVrA9K85NbD6UqJf2GzhWEsybKCRZgiEFWT1SDOCmShhBxRlvO9dw7ot1yK0sPQBe26heeY9NoutmWgBHuKhJ4XJctFBrIkCDOEpg6QNdfAtQyCOMMP1OFQaCXTRcKbd0YIwHNNoioi19DFqigIkxxd03AdA00I1rueigjbnTILMobTkA8ezsgLiWUJtMoZ3HNNlkFGu2az1nGJ45zhNKAsS7KioOmZ7I9ToqSo3GwUOV1KyWavRlFKOg0bw9BZhBm6JjBNneE0ZLJMkFLSbdhommDqx3zv3UPqd8as9ZRjaquuCsSNjkuRl9RcEyEE/faHFVybPY+37wxJkhLL0tge1DkcB9zdm6FpGtfPd/gffOcKb94Z4YcpV8+2aX9ExC7Anb05UawW/HsHc5p16wn3xWfBD1Nu7czIi5L1rveE48/TmC5j7uzOkVJyZq3BZv+zPbR8HpBlBYtAOTrVPZPjacBsmWLoGhtdDynUvW2ZOpv9Gp5rcn6zSb/t8n7l2OTZ6tpx85LLgxpZVnJ7d06UZvhRytRP6DXV9bnwU47HypHF1JXSumq7ouko1xpTxzZ16p6FaxvMFolK2pAZnmNgGbpyw9EEw1lcRS8KpFTORXtDXznbGCruuyxKRKrjWJoiWVWHuGWYEqU5slRDhvVuDV2DJFX3jmPpzP0EvYp6bnomhqGx1vXQhGA0DVhGGX6UMVkkuK7Buc0GW706tq3z5ec3uX+45HvvHDIPMhZhSr/tMppFDKcB40XCRtcliHNu785Z73jYphKL7Q19bj2c0m44XNxuYeraqljOqubLtXMd9oc+jqXTb7mU5aNmdSFVDGVjzWLmJ6vGEDxbdew5Jr/xyhb/7Cd7yvmsUvCfEKuPp+HqOSbzGM82nkj++LQ4ScsJooxW3fpIlbuUkiRVhPfTZu3Hh/50MSmgkCUaktEsYRmmnFtvIgU8PF6yDFNcx8C1TOV0VKpoXcPQ2RjUVPRj22WyiDF1X4muhCBLyydEP4/jX/srV0mygtdvHnNvf4FEcnGrVTXhF1iGTqepmimdhrr3/4VXt58gUj44WLB7vMQyDZ6/2KXfcTm33mC2TFgECXsjfzVgWO/WiNKMFy8N8ByD25UL98l1czgOmCyU68U//u49gigjSnNqrsWXrq8xnsfsjZQDX5oVzJYJ/bbLpe0WQaQGs2meM5zG/Bf/5AOGs5BBx8UydLKiJIhSXrjY4YMdRfo0dMHhOCQvSq6c7TCcKXFbKbVVYtVa2+XymTbdpsvWoM5kHrE79Jn7CcezSKUmnGnTabrIUnBho8Hrt4bIat2kcuwTAjRdRcb2Wg7PnVf3b14NijTA0gVFoZo+uqZRdw2mebH6fde6Hhe3WwzaDm/dHmPkBTuHET96/xgpYbNfo1m3GLRdmrVH9+t61+NPf7JLnBRq2Ktr3Hw44+KZFs+fVwPdZZiy3vGI0pz5MmGzX3siGeFxBFHGrYdTskLFjV54THgWJjn7Qx8/ylZCYfj8EGG/aNjo1fjq8+v0Ww5BkHJ7P6OskmEEn07AAZBV7nMnbVYhUMPAccQbt4ZkRcm9/Tm/+doZWjUlPE6zgoZnkRUlG12Pl6/2+PM3DhAC8rzg7v4c29L58nPrq5+zc7TkaByclBL4YcrtOEM/WLDwkydEi8swpVftl1k16UnzUiXttJRYebNfo+5ZT6xnohKhx0leiao0OnULzzaUSx6w2asRxVWyWFWLPr7f1j2Lq2fbTBeqAfssoukpTvF5wdWzbYJYuT+2GzZnBg3u7i0YLxLyolRn6g9NVz8BpLo/0izHNHSiJGM8i2jULOK0JKtE3ElWoKEa9Ld356RZWZGPjGcOkwZtF8PQCOOcPC9XbnYnfQohBGc36jw4WlBzzUf17vlnN60ORv5qSD2cRtQck7Wqdn3n7ki50gYJ03lCs27x/oOH1F2Tr9/Y5LWqQdxqWCwrIryuC9a63s88r/5l4KS2VqQqjXbd5miiBjLmCcHiFL9WEAL2jpfMlwnNmk0pJPf3F2r//nmfG5ACLFP103QhsCyJVg3cNE2j07LJMoll6vzWa9u8+tz6qmeTpAXTZYLnGB9KW90a1D+Tc+kpTnGKU/w64jtfPstzF7r8h//gLX743hH/5R9+wO999z7/0m9c5He/cf40OfAUv1C06hbHVf2J4EM94Tgt6DRs9MpcKUpy/CjjB+8d/cyZzuN4eLRk4afUHIvDcUghS0bzmI2ux3ie8PDY5yvPreNYOqWUDLoehqGtUh1OTCTWux5Hk5APdmZkeYFjqZ7jYdWPzCqBqucayh2/KFnGGdNZTKNm8cP3jrj5cMq3Xt6i13L40vV1Lm82ef2DEbvDBe/eHbMMcgxDmdsZmkDTJJ2Gg20ZnFtvrNxl4zRHB1xbp9tyyfKC2bLE0nVKTVVuddckCFXEqkQQJsp5P4hzOplyFxeatqrzRPV9eVESJQV5UeCYOq5r0KpZuLZJWZZESYkfpUgJO0cL1joOjqV6KuudGm/fGSuDDE1waavJvYMFSVJgGLBYxizjHE0ILEPNBuuuyR/9aAc/zNga1PjOl84QpwVJlrM/DrEtne1B/Yn1SPVa1PVSlpLbuzNmS9VrmS4TslwJVCxTp3zMnRihrYhdCz/l5oMp9w+WSCk5t9FkreOezh8+Q+wcLTkYBxiaxtVz7Y/sAT8L00XMH/1whzDJ2V6r81uvbT9Bmnn95jEPj3zCOOMH7x7xytUBl7ZbpFnB7tBnMo+xLZ1W3Wa966HrKiWjlJJO06EoSvwwo1mzmC1NkqwkTArmy4SwMlr85sub9Fouhq7cwe/uz1VazVaTNz8Y8eadMZ2Gw2gWVmdrga4pQyyBMoHL8lwl2pSCvJRVJ0Uq0qgQ5GVBv+2y3a+xDDPKQjlXjeYxcZKhaxqdpk2zbjEPU4aTgCDMkUIo0UlSkGWKX6EJjRev9DEMwdEkUuT1ecLcj9kfBTiWEoJt9OrsHfsV0VSi65rqzWgWUZKT5kp8FYY5/92f3SdMUmVAqWscTEKSLKfdsOk0HLpNxQE4nobouprFIiXHk4A0KZgsYoI44+x6g7WOtyLmXt5uMV0kCAFhnNNru2iaUGaej8GxDK6d6zzxd0lWVOYAv/y+yq8bNno1boczACxLp+5avH1nxL39BYsgpuaqlCmJQZTkaEIjzTLmQUqYgFVItnoe43lcJXEUCF2j7pjEcUr0VCTHyay+rIwTk6zgWV5TSVKQaAVlCff3Z7TqDllWEhelIhyXigeh2Tr1uolROf6buuC7b+zx2rU1nrvQZW/os1+JupCSaSnxbJ21bo31noepKyO2/aHP9qDOtfMdlQYyj1ZchOfOd7l6tkOc5kyXMUcVMXmyiDgYBfzNb11ka1AjzUoGHfdj9QfTrCArSgxdw7EMPMfEtnT6HZfnL3afubYOOg6Woa8MqD5rQv4pfvXw3v0JN+9PyYuS3aHPb3/l7Gcm7H/n7pif3DpGq9LU9oc+9w8XuJZOp2FxZ3dGmhWYpk6vaZNNy8okWifLCtKqxtZ1QZmXZKWaTHTqFvW6hR9luLZOp2UzmkXkRUmSFmwN6hzPQ4Kg4MalLuc2mmwN1Bx5f7RUIu44rUxlBefWG/Rb6r58sL/kzt6MMMpWBrfLMKOUkuNpRL/rMZrHaLrqWx6MQ1KtQGhQr9u06hZRZbJalpLjic/cTzF11Rc9Mc3xHLOqzzMMDW7vzZj7KUhJluXcejDl3/nXX1u9l//Rf/0mYZxTlqqWmC/L1exia1Djy8+t8c79CbahsdGv8/69SZUwmPKDtw/5zpfPsgxS1roef+YYtOo2hZQ4ps7+KGA4U2ezuzWTxruHHE8iZoHia0pK0gJKWXL5KUPlQcdbiRSKomRvOFNieqAoS84M6qt0kTt7M8I4x9R1JouE3//eQ16sRGUPDha8eLm3mtWEcY71wYi0mu2sdT3efzBh4aeV6XDnCXFEnD4iuqvzWfGRIo5ey6UopUpf9D6dM/1Hod2wORo/mrN4HyHY+7xhOIs4GgeEcU4Y5TiW8bkyIfs4aHoW/9pvX+XP39qn3bD5jccSY74o6PdbH/q7uvXFT8wq5afnm/yy4Lg6QfRoXel3Ppq3/HnFzYdTklS5qxVFya2H85/9oGfgi7GK/ZphukzYGy4ZTiIarkm7qRIPBp1HG1qv7TBZxiChWVMRgL2Ww/4owNR1LEtn0PaqJp3O7nDJ0cRHypISgSwgSVJKpBISGLqKLLV0dEOw3ne5ezCnKCWuo+NYOrMgJdIE796bMF4kHIx8lkFWxSLmbPVrLKqEgU7TBpSbf7upHLF1TeBXzgALP1WpILly7HRsA0MXDFoO7YZD3bOwHYPDYcB4HnP1bIvDSYTQNTxLJ8sLRvMY1zZx7EduE0gVbyalZLpMKMqSvJCkaY5dU++RlKrYKoqSje7jhynJ+w9nHE8ClkHGmfU6cZoqEYShnIQOhj4bvRrvP5xiGzpxVlKU6jNwbJM0yylKSd0zOZqE+HGGoQkWYQoINnseV852VikI9/YXfPBwwsxP6TRs4rRgEWZIlGvNeBZzczZlvechELx4uUezZtOo2Xx7u81oFmEYGoNniDhadQsJzIKEjuZQcw2+9/bRKl4yinP+ylfOfmxV5EmcWvVWKUX2zzj0Pjhcrh53NA7ptdyPdEO+t79YuSnvHC3ptZxfuebQ7tBfEZuOxiG6ptFrOZiGxnrfo1VTkX+OaSCEWH2uNdfkqy9ssgwydoY+Ndei13aIk0KRvnVBXkUeakJF/Y7mMZ26zTxIKcoSxzIxSqh5JosgRVYiBOUSpUROs2VKs24hUE4yUpYEcQ4xyLIkNXSkUI5RCAjjFD/KyQvlahMmJZqAK1sWk6XEsSDN1SAFITAEeI5Bw7N44WIXISSv3xxRyoIozjGEwNJV4/WFi11cx+Q3XzvDj24e8eBgiaEJFXkuQJSCIi+J05xr5zvEWcF796fIKj5wPIuJkpwoKZgtYpK8YK3jstZREcTbaw0m85i3hks826DumSyDhIeHC1642OODHRXvPJxFdJoOcZLRqNk8PFiwOaiz2a/x/AUVCf7733tAkhZ4rslf+dIWaVZQSoljG88UWIEi/D++/jzuvp4/1R37tM7sz8LTRJynUZbKMX0ZKsf96+c7n6jp/+sMx9KeiCO2DUHNNkkLNQxLs0KlwRQlw0nIMkjJsoJ+W9BtuZxfb9JrO5SlxDR0jicBnmsy6Hjc258DSlDo2QZ//tYB2+t1rp191FjP8oL37k+I4pz7hwtaNQuzGoSeXWswrVzunzvfVe73rsmLl3pPCDiWQcKPbx4TRBlCCObLmKvnOrxybY0gTFmEyh1uOAvZH/pEWUGaFliGzqvX1pCycuDXT16TunaDKOVoGqImFpLpPCLLlRPPtbMDpks14Liw2eR4EqJrKtr1/QcTwjinKErODDyCKGN/GNCqq/08iHN+4+VttgYNbj2Y8IP3jlhGOWGc023ZaBqVK3iJbWr0mi4b/TovX1vjwmaT9+5NaDccklR9NkVeoumCveGSJMvZOfSxLQ0N6Lds7h/oJElBiRJweJaJaYgn9rW8LLm01WI8j5TArWqG7R4vWQQppZQcVU5+Ndfk5asDui2Xq+c6Kto8SGnUTDxbEV6/8tw6vbb7xEBT0wTPnesynAYcjgMaNQvT1Hnv3oRL2x38QEVHv3t3gmVq1XoOo1m0IsQ+joeHy9VndTwJ6TadVfSplGp4D4qAn+VfvIPf5w1112ThJ8R5QatKYYnTQg0PPyUeX3s0TYmYW3WbZZQRJTlTP14RiC+faVP3TLJMx48zdg6W3Hww5c7OjDt7M+K04PzGycDv0YH59u6Mmw+mKuEvTlmEGXlWculsi81ejTxXNbehCzzXXA0sdF0NQaeLhKZnUpQl/ZZK17tYiT6+9dIWk1mEH6nhZKNm8ebtEUIoJzjL0PnGSxscjENFKu14vHd/wtEkRNcEg46L59jEab5yfew0nnTFOsUpPq/Y7NexK+FSu2HjOSZn1+vkeanc8n9OSrdEufIXgESlPnm2gdBgNI+ouaba05OCNM8paxbDSUi7bhMm2Yfq0hPUPYuvvbDOX7x9SFE4q3rx8dr36Xo3/yl7SP7UGpgXygjh5sMpd3bnIMA2Fdnr1oOpIoWUajh1abtFq26z1a9jmzpJWtBpOp8LAUdRSt6/PyGIMnRdcP1ch3MbDVxHpac+vcef4tcD//gvHjCZJ+Slcq2c+jGa0D6UavdJoWuCEoltaGz1PdJc3YcvXVZJrX6U8/yFNo2aw3gW47kGV893nhgSeY75hDP3KU5xilOc4rPDRq/G//nf+jp/8fYB//Hvvcfusc9//k9u8V/84S1eutznazc2eOXqgPMbjVOn+lN8pug0HK6f7xBEKh3j6V5vr+Uwnke8en2NyVwJqgcdD+TPnuk8jpOzw9aghm0pczZlaqIea+gq6V6vnDprjsmV7UdzzzwvORgrAvRGr8Z612M4ixjPI1zHoOFYpM2Cg1GApkOWFsRxziLMMHWNQkqVQFiUzPyYd+7YXDvf5sHBgmbNIowz7u4smS4VYSvyc86tN7AMnXmQkKQFNcfkhfMdjuYxF7fU/CArJJ26hWEIlkGuxC5SkcQ11CzCsXWmi5SyLNAEJEVJFikil+MYOIZGHGuYjkDXNZZhgmO28WyD43GI5xo0ayZJmuOHOdvrNWZBjFm9NgG8dXvCu/emdFsO5zeaqzNUmChByrn1BkeTgDwrOZxHCAGmpXHvYAHAj28er4QV+8OAu3tziqLk7u6COC1W7uMXtloglQP5iVgf1PlxNIvU9+YFSZpz88GEUkK/7fC//FvPszMMcWydPC958/aomlcJpsuYtY46G97bn3M0DlRSc3VGqp/OHz41wjjjYKTSrPOi5P7B4hO5vv/o/eOVacresc+DwyUXtx4RmnaHPkV1bkFCkuXcejhB0zSyrGA0U6TqmmMyXcT89lfO8v79CTM/IgiV8GOz73F3f067YbOMUspMYhganaaD55gYus7zFx4lzXiOUTlRG/zWl88xnMeEUYbnWriOcvqP05IsK6h7FpNlQpbmVfdEchIQKCVQSrQqatwyNECwPwoIkowgUuYwRSlxXRPb1mnVLPaHAUFYqH5rLqtUcYm6ewSSkulC9VrjRP3cQkqiuMAwCiSKp1BKyaDjVveoRlGUaJrq3TqOSmQspWQ0V27l6rkETc/EsQ0GHY/nLnRXNUFZSpJEGXQ0PHjn3oQkySmlWncFykwvywt6LXWm67Vcvn5jgyDOVvPjdsPGtQ3COCPNyiqN8VHdsQxTZTrgpwghOLNeZ6uvxPyKhJlWRMmfvS/M/YTZMmHQ8b4wxMrPA772wjqdukOYZHSaNj+6ecjBKGQ8j5j6CeYyoe5afOPFDcKkIM9LDE2SFBJZqhlXo2ZxOA44mkbqs9fUfiGruBxdjepQ+VYq1Qmg5mgUpSRJP9yPLKt/CaCQGlGSr0i7eVEiNGUqAYK1tkeSlURJxgc7M+7uL7i3P+fcZpPpImYZpeRlSZ6VWEKqdK68pFWzMXTBWsdT6TumzkuX++wPfV6+OiBOclzHoNdy2T1eMpxGRIkyx1kEKXkhadYMJouYa+c6tNeebWb4NPZHPrtHPqDm6A1Pmav1Ox4vXOw9UTvFSU5cmXV6jsXvfuMc9/aVic3TYqhTnOJp7B37q5p5tkyYLuLPRMQRpzmv3zquOFySP/j+A2rV80ZJwU9u7WIamhJtGBqurdNrOaR5SbflIIuC3eMQiaTbtDENyWiWIXRNCYqPfZKsIPNLvv/uEZe22uRFiWVqBHHOwbGae7//YMpvvLy5SvDZXlOJGGnFjTNNjWWYkVXG0w+PFxyNQvJS4scZW/0azZqlxBOazmga0qqr+68oJU3PYrKMMHWNFy72iGJVlyJV2sbrN4fkRUm3adNr2cz9hFJKui2L/ZHP4ThSST6OwSJISfMSTQji5ElTVsc26DQcSimxLZ0ozlZCeGXCWGcRprRqqg7ZHS7Jc8W96rdddo6WRIkShm31ahyOQ6QEaaoUkJORy+2dGU3PVuK5yhz6GzdUOle7YWOZ+qP92jO5cqbN8VQ9l2vrT3DPOk2Xr93YWAmux/OIh2K52v8lkKQ5eak4TI/PYzzH4K99/Tx39+Z4tkmrYfHwUKWchHHO/ih4Qtg/aLur+rPmmqu57EdhreOx9gtYHs+tN3DtL96cxY9Svv/uIVGiODb1mvmFE3Hkec7/9x+9y+3dGZZl4JoG33h565f9sj4RAv/DqRvzYEGzOfglvJrPDj+PaegvC9pTPdDyixcmQs0x0QUUVdhBzft0e/vpielziGWY8Ic/2CGu4jp/89XtD5HuOg2HFy/1mC4Sdo99bj6YcmtnTs0xSPOCu3sLXrs24P7BnGWY0K1beLaOpetIIdRGXarG6Ea3DgQEcYbjGGz3a9zdm6NpAqEJwijnnXsTpFQHlzDJFSGzcqIIkhxNgGkIkqzkzFqdQcvDdQz8OKfTsCly5TKx8BOKUjLzE/IiJy8kQZRRSEnNMWk1bJzKxaXlmcieh0TSqlkcTSIVhWpoJHlJkhTsHPsgJJ6tEgMsU6NVt2nVbRqeSRRnK5cc1zFXTeLRLGbqJ7iWSrfYHtR5686IXtNhMotAUyKHIMrQKsKIa5uM5iGHk5A8LwmiDLsSnziWTt0zuHq2zQ/fO8KPMjZ7Hhe320wW8cp5pFWzqFWv44TEcpKSIICma7Le86oCQ6jIxqp+SrKCIM5o1uwqfk7/qS6INx/M0IXGZkWie/vOeCXgAOXY8UmwPahzv2r4nhCMfhZOmgGP/cVP+eZP9HK+kHj8/ZAoRfCJu7oQgq1BnbWux9xPsEz9iabAuSoCsJSSBwdL9oc+dc/htat9bFPnrdsFy6CKrQsSiipOtShLdJRQq+aq9IU0y5kvM0Aqh5yex+E45OxaHddRIg/TEOyPYspCoumCMCvpdZRzdsuzWYQpo3lUNRAf+70kHM4ydE3HMg2yPANdoAtB07X46o0Nmp5FnBaEUcFGz2M0i5ll2cp5NExLZr6KRL2zO+fGxT7v3BlTSslkHjFexDTcEonk6gVF5v7BO/vMFxFBXGCaGo6t0206DGcRWakcY45GAdtrDb5xY5137k2xTA1N03hw6CuHoLIkjDLSKjFlPFcijr2RT1y5YtmmwcxX8a+jWcT9g8XqcLRztOA/+4OA5y92yfOSM2uNj1ST112TZs1iEaQgVPzhCQYdj+FUkdwNXfu53fiKomQ8j9F1Qbfp/NRB8MxPVg7GZSnZG/of6Zj8aVGWpYoKzUsubbd+5sHui4I7u4snvs5yiW3rzKcppqHEh4fjgCjOSNNCiQxzia4Ltvo1NB1euNjlYBRgGjq2qTFZxPTaLt/58lniOONoGlFKyeu3jtk5XqJXSUx5UbI/9AmjHAQV6RNFwBJgmjqDjstwGhHGGb2mQ6fpqAZF1QgFtWYEVfTkcBpy8+GEw4lqkPy1b17EcyzCKCfJCqK0wA/UOjJdKveJQcd9Qny31nGZzFVCmGloyBKEptGs21zebnF2rY7nGEwXECYZ40XEbJEQxhn3DxZ0GhaWLgiTgihRZFbH0vEcAz9Kee/+hFbN4vr5LmlWcDyJWAQJvRaA4OKWEoUURbmKAndtg9EsQpzv0ms6vP9QuWNkabEaxEzmCXvHAf22oxy9NKGGRKauXLykXInlTsQYJzhxrbq7pzFdxnRb6p6bVmlbWV7SrNls9DwMTfDj94+pOQatukWS5tRck27TRROCumd95D7faTo0ayZv352sBqutmsXZvsdu5Zwyk4kSolVE9o/aZp8mCD++Vxm6xrmNJlGSrVKbTvHpESc5f/72AQ+PlvhhxjJUEbpF8fPStBVUzaoxaDvUXRPPNTiaKkG0EII0U+uQoWvEac4ySOk3HXYOVQKP55jEiRJYn1lrrJpyQZQxmce06hb39uccjkPqrkmY5tx6MOPhwZJey+XCZpONnse1850n1vYrZ9rMlqoGdSydMMmpOeYqgePseoN//Xeuq4a1a64GJlLCGx+M8Krva3gW1891eOfeGIDttTpzPyGI1QDz7TvjX4j4cLKIyfKSbtP5SDeZU5zi50G36bAMU+7tLwijjD97c59SStXY/wzPSEUhEUjSVLk0WobORtfj3HqD/UlAUejKXMHQlRBR1xV56yOwCFKunGlTlOpsfH5TOaq+f3/McBZzebtJw1PpGELwU5MWT2qGk+FPv+3iRxkLP8W2dCbzGOlK+m2P0SxEl2JFAHh83/osnZw+C8yW8aq2KgrJ/ijg2rnOqdv2rzmGk5AwyVb3tybA/RSEFq1KqdU0cG2D62fbLKKUjXYNxzPJMnU/vXxljRuXe6RZQd01ubUzo11XCbCbpy6RpzjFKU7xlwohBN98aYuv39jkz9864Pe+e483b49W/4DqMVzYbHJ+o8H2Wp1+y6XXUi7cNdfAsYxVOvApPhkUKVER7+I0rwi4J+YrJUlWkKwI6sWKYKUJ5eQuhPoMTUPj5Sv9zy3RYrqISfOSTkX8AVYzs2ehVbe5calHlOTUPYsPHk4J48em5h/zULLZq+GHGWWpZhkXNhr8/T+6rfqbLYd/4ZUzbPRr6Jp44rXM/YS7B3Pevj0iiNSs8esvbvLK1QFrHeXIPZpGxElBnOWYusDQTaIkxzF1aq5BEKRoKHF4lhWYhsl0Gat+Rdvl4eGSDx5O2R8uyYoSUc1I/SAFDZZBSrtu4zk6//0PHmKbOq2ai5RqrmIagoOREh4IIdA1EFL1XP0oI05zJezQNExNEKY5eVFiaAK7cg13bUMZ5pkGcZZzPFPJIoVU16Vp6SRZqfrChs5sHjNdxNXPBCnjVb/jwcGCLz03IMskRxNF0rVNnSgpcU0drRL36lXaqfocn/y8SgmLMCPJcjW/FGoG+WJ1LTQ864k+b5oVPDhcKDO9Kp31/Gaz6nVaJAWrlMQwzvAjNV9t1kweD+nww3SVSvDojHTab/y0+NDt+Yl7CE/3hZ/8v92ms0qS9JzKWV+qFOryqcfkRcnhOCSMcz54uKRVVwl/jmPwN755gVGVgv2nb+yxexRUBnUaTffJz//cRpNW3SYvSjoNh9dvHvPWnRGWobHRb2BbOqNJqMQRmjK+0nRBWZHQ1ZotKQt1ncdZSVaUjGZxlf5dkGeSvCgpkTQ8k3bdJi8l79wbI9DIV445kjAuqLkGzZqBaehouhLgz5YJaFBmpeq3GMrMSji2+hl5Satu0+84zJcZSZqR5pIsV+aazZrFPEgrZ3OTumOwiHIMXWet43HljOIXCATdps0HOzPmfoJr6RxNYspS0qjbjKcR9/bm9NuKl3E0UWkdax0XzzEJoowwUUacJz2T42nI/f1F9bkaPH+xh64JHhws2B/53Nmd0/AsNvs1do/9lUHHiUkFwPnN5k81jTsY+fzxj3cpColl6fz1b16geTpb+Jnww5QHh0tqrsH1C2u8cWu4WkOTtMAxdGxLp+GZZIXk4lYTIVWCzSxQhqqmpvGTD0YcVwIOUOaMGpBXIgzJo7v/CV8VKcjz8kNLyYmBJCgDNtPQ8GyTes2q9n5l6Og4Jt2GTa/pMPNjgkgSpQWlzHnvwZQHh0vKEjzLUMKP6sWcGMSN5iFxUjKcxfTbLpe2W2hCMF7E5FV/XghBnOYMpxGgZnKdpl3xlEzOVfXZhzgqHwEpJbvH/upr29R54WJ3lab7+Ex9uoy5vTNDyur7LvVoNxxeu35qhnGKj4d+22XmJyBVL6/mfobr4mOX/BMJaUCSlcRpRlEql3bDqPHylTZxWtDveIxnIY5tIaXEMeGtuxOitERKZQxtWxZ6RZA/Gods9evEaUFN6uwfL0krQ6qZnzCcJzx/oUtRlHzvnX1AoBsCXehkRclkHpPmBbomVnsxEopcmVyeiE8sU2PmC9JVnaESOEzDwNDBjzK+dG2NRZDSrFn80Y92GM0jylISRCl1x1DzPAkCtW5IKTE0jSDM0HUNUQkv7Ke4Kpe2WyyCjLQyiT2aBKRZVWdQ8N/86W0WQYpA0G4YpGmp6qMCjqYhd/bmIOF4EjDouLxwqUuSFqy3Xe4fLDCqD0vXxWqtMgxBzTGfMN+cLmL2hj5IcGyd5y8oo86ylDRqNi9c7HHzgTJ0fPXqgDQrGC+U0e9vvrbN3jAgTnJadYuXrwy4+WACKBF/7aletOcYbA3qWIam0vrSnDDJcSz9Q/Xl2fUGzZpFXpS0G84vrT8hhPhCzlmm84QwVv2IopCMZtEv+yV9Ynz/nWN+8P4xWZX+9p/+wftfOBHHryqC+Jf9Cj45yvLJReYk4eyLhJev9vlHf36fKMkwTMGrVz6dGOhXgzn5K4aDkWpyBFGKqWtKNFCUHIwCSilXB6VB260ax9XBqyg5mgbUPQtTF/znf/gBb94aMlsm2JZGs2ahGxqGoWJGN/p1DsYBo3mEpmm8eLHLcxd6nN1osj/00YQgTQuyvGS2TJQ6My8py5JSluyPVExaKVVhpWvKGabTUKRHy1Ik9F7bo9d00QSM5xFlojZ8JERJRpgqpb4aQGgsw5ThNOLu3pxGzcTQNW7tzLBMlTih66pR7tgahSwxNCVmCOMcXRfUXCWSGLQ94jTHNBUZRdfEisgJsNGtoWmC5y90V24QmibY6NeZh2mVngG9tstwGiM0QZyWnLSmNF3w3Pk2w2lEnJZc6Lt86foajbrF7uGSmmPxyvUBv/fde6voMSFge73O/f0F04WKmb18pqWcyZcpGz2P73z5LGlW8BdvH1BzVWO323QIopyGa+E6xscqRoynSGaebVSuSjH8DBLNs7DW9WjWLIpSfmzHjLPrDT7YmVGWynHkp5E/z282uLs3R1auIb9qKRyghDB+mJHlJZt9lZQz91MMXePMmmoqGLr2TPKRYxl8+fl1vvvmPvMgIUpyxvOY5891sCydcxsNoureCqohS5aqJma9brHecxm0PWxTZ2/ooxsaWZbjxxn9QuI5OllZkgZKaDVdxvhhSparwYGha5SFEh25rsFLV/uKSH64ZLZMKKWKXAXQhBJRJGkOVcOo3bRpN226TZcLWw1+/7v3Gc4iZFliGJpSSZcluiFo1ZSYK0oK7h3MEQKunu0wXcYkmXLYyfIIpORwGPDfHd0lLyW2bRJXB7xLW202+zVuPpiuiN+GoVFzDfbHqsGbpKrxXMgSTeq4lkGalzw8XKoUjzRX4rZK5R4lGXVPYps6c1+tFycONSeOH7alkeUlX35+nYeHC3Rd0Gk8crU/wUnKhSKeak84BdumzktX+sRpsYpeVs+lsdH1VofkjwMpJe/dn6wGb/N2yqXt1kd+v/7UIevprz8L/MXbh9zdU/FhHzyc8bd+4+KH1qsvIkbzJ4VxeQmmrlwtlkFCXkgcWzUySwmmEAgNgjDjcBygaxrv3puQZDkb3Tqths3LVwc4tsFXn1snzgr+/b/3Oh/szBXB0VLN/LfvjKi5FkVZsgxSzq43GLQ9ilJ1Y8+tN9A1wcWtFutdj3v7C/aHPsdTRcKeLOKVY36zrhzwl0HKdBlTr5pHcz/laByw0fW4szMjz0u1p5YFtmXw/IUeL17ukVTDvLprVrGnJi9f7eMHKYeTSD22LFjv1HBsQ0WNZ0p4VZbKgSROCs5tNAjjnEWQ0fRMwqQAoVy/19oehSwJ4xxDUw4gx9MQzzEZziL8KMW1DdbaNrZt8i9+9RyLIOWde2PMKgb5YOize7zkz97eZxlk+FGGFGBqOkJIWjUT1zEYTiM1pB2GxElOVpQrgl2el2z1a7QaDntD/4lI02+9vMW1c23yQqVuTOdqyNqsmSwDFQPr2Sbff++QmmPi2gaXz7T4F17bxrYMDscBlqGvBp9PY9B2Gc9jggheuTrg/uECIdTPPbvRZDiPkVI1YU6i0+ue+ZHJQGfXG9x6qFzNuy3niUF6v+UyacUsAg3L1Nj+KeLRU3w0wjjlxzeH7BypPXPuJ2qwkaukk8+Coy1QAolB2+Xq2S6OpdOoWaRJznSRouuC8Txmukx4uTo43ttf8EBTTixCE7i2wUavxkbP5fq5jhr6V8ldAJahc2ZQJ80L2p5NlBTkeYG09KoGN9gd+kRJzvOXeqvBnBDiCVdv9xlC4F7LpddyCaKMXR4NTeZ+jGfXK0fIGZah0nFADWWlBM9We2hZSobT6DMVcTw8XFTuf3A4Dnjxcv8Xsjee4tcbQZTxD//0DtOlSrv0wwxdiGqoAOln1K86MQJACIpc1bRffn6dP3tjH3RBEGbIQtJrOlw71+H6+bZKfPIsus9w5tc1RdvQNSVMb9Ut/uLtA/7w+w9Ji5LvOib/079+nbMbjQ/Vu0/jpGaIkxzXNtB1jbwoGc0iklQJTl3L4Le/fIZz63V+cmuIlHD1bJv25zh152kHmVPC5SlAnfkfD7kpJSzDT24vtNayEJq6X56/0KnOABLDEKy1XQxdV6SDpv3E3njjYo8wybEqQuEpTnGKU5ziLx+aJviNV7b4jVe2OJ6E/PM39nnj9pB37o4Joox37o555+74Ix/v2vqqZtIrAquuV//VNITGz53w9IuCpCL8SmUqccKvk/KRuYH6u8dFzdWfefJxsvrmR8/57OcoSrlKGvissNHz+H/9H3/nM3u+nxeKPB1wOA5J0wLD0DgYabx4uf+xHEk9x1yZdp3baHLroeqp99s/faYDKvk1iDOKoiROcixT49rZFr///R3QVOJ8v+Xy3IWOusbjnCtnWvTbHosw5R/9+X2mi4i370xo1EwsUyf68S7bgxrTpUqb1TSVNBHFGZ2mQ5Yro5RB12MyjwmiHMcQSFStJYRgEaQ4VSLI3shXAgSpkmZ1XdCuqRTzOFW5hXkhV87zpqlRd0wQJVku6bWUm75j6jRqJlFS4FgGcz9hskgQQpk2DTou8yAlqNx8RfX737jUZzgPGU4idF0wqHtMlzHjeULNNWjVbKbLBEMXWKaujOFKSbNmIjSxIuKZhoalqxu83XBVGkBest51WQQZlqlhWhq9tst8meC5Jt94aaNKH+8ymqvz1aDjcmmrxdE0xLMNlkWG0AQb3doT18Lj0ITAMnSiQvVkLVPHMh7VktZj/X3PMfnqC+ur891kkXD/QM3+tgd1llUiCJyekX5e1KrrbjiN1H2y8cnEZa9eG/BPf7RLmirDtQubTz7+y8+tc/PBhE7DxjB0dEPj0kaTNFOpOO2GjWcrcWGrbleu+Lkye4gzXFvdJ+3GYHV2bzcc/uB79/GjnI1+jWvnP2zNfNKfLoqSG5d6rPfUTFwAb94e0Wt72GFKEGU4loYsBZmQ6JXoDgmGpmbyQhMEUY5dpW4ALIKEyTLGNlRixtVOCxAMJwFZ8WivKKUirNdck6KkSt02+f3vPSTLC8JIpYif7ENpJom1nI2+x5lBAwQMZxFplqv3T8uxTAPPNmjULM5uNIijjKNZRFZIWjWbaxfaeLbJf/tnd1nveORFyZ3dOYWUvHixx9n1BhLJPFAzS5WyIdkf+YRJysPDJb2WjWnorHc9jiZhNasx+J2vnaPf9jiePJplhXHOfBkTJjlv3x0p40GhEjkGhTLtEuJJAzCAo0nwkSKOu3tz/uhHDwnjnE7DIU0L7u3NeeXqF9vZ+BeNMM75e//0Aw7HAaah8dtfOYth6DRryiDFcQxqtkG/7eLYBv2WjS5gbxiwDDIWYYaQEBhKkPoUh5usUAkzq7rpBI8ZTOjKQpinTZyFAEs7+WslwFrreySJWjuadZtlmHJ20EDTVepUq+4QxIq3kKcFaZVGXnNMdF1gGzqebeCYBr2Oy+WtJv22x53dGXGaAxI/yvjT13dJ0oKZn+BHGVfPtldpXUg1e7iw2WR7UOfO3hxNCNoN+4k0qZ8GJewUiu+E2pe6TfeZ+9PwMWFMkhVV0szny1DmFJ9v3LikkqeSrGC7X//Y1+nPgmMZvHi5x9t3xggB33ntLIeTkL2hj2XoXD/f4f7BojKUE2x0arx0eUBelNiWTrdh06yHyFISJRlJNlqtIWEisUypRHmmzmbfQwiBZSpTYhBomhJIU0psQ80V37s/4d7+kqKQmJqBZalUql7bUel/noVe1ey5kLiOwStX+ozmMWlWcP1cm6KAh0cLNMFqXulaOgiYL2PqnrU6q8RJQVRxEPO8JM1KsspUeTxPCOMxQVygCUGrbuFW5nGmJrCtJ/uj3ZZLw7PIioJ23eG5813++Rt7ALiWzXg+pChKQJDkueJIlapezrNita7mhWT3eEkYF5SlZBlmvHChy51dxX968XKPrX6d6TLBMnSev9QjTvKVSWT5mOIuTgpevzVkNFPr0Fa/hiaUMEjXBEeTgLfvjpXgGvjajQ3+1//qywxnIVs9j9t7Cy5utSiqz3zupwSx2tf7bZfvv3PAg8Mltqnz4sUeR9OQOFEcjucufNjw9XEuQZoVHE1CxbX8GVwmKRV3IskK+i33CaPMXxsIyPJyRVT/LI3c/rLw4HChEmyq1348+eIJUXKZfejvis9tJ+3jY3v9i2fapXpWj85gjU+ZYvHLxOFICRyjhjLGPf6U4qxTEcfnEAJJWG2YWVESxhk3H0wJIkX0jNOCC5tNRrNoFWFpGDpZXqJpGrJUDccfvXukCN1Jhh9Bq2bRaTq4joFdHfqOJiqmUyDxXJtOw+He3pxuS8V8ZWVJWarbJU5UM0LXNebLGIlUjhaoqNCiKBGacg63TJ2r220OJyFCSLYGNS5vt7h3uGC2TBhNQ5JcRRtKVCMkK0ru789o1hwMXVROFQa6ppx3L59pk+UFlmHw3Tf3uLu/ACnQhXIeLGVJnipxQhApUma/7fGw2kDWuh7PXehwOIlWm0mzZrE39JktE9a6Hu/fn+A5BlfOtDB1vSK5Krf8LFNRyJapk2Y5capcRbYGdf7Od66yUTWRXrjQ49rZjnL/0ATfenGT771zQFHAq9cHNFyTvCjxo6xy7dF48fKAXtPm/GZrRWY+u9YgSDJ2DpcEcc5612V70GARJNzbn+PaBtuD+kc2OZ8/32U0jTicBHSbDq9eV0rkhwcLNF3jymOE04+LE8fkj4tW3eZLVXrEzxoW9FquauJJ+YlI6l8keI7Jq9cG5IVcOTlnecHBOGB/6NNu2CuBzv7QZ+bHhHHObJnw8GiJJmDneElaOYWVhsZbd4dqcFWq+7DXtikm6mAiNE0lxdg6UVoSJTmbPUXu1oRqtsRJzmQe0qjZLIOUUqqhgEANuMpSOSt1WzYXN1pIAXVXDQlfutTDc0xGk5CdoY+pa2wOarx4ecDRxGd/GOCHarBy5UyLVt3mK88N+H//o/fZOVoynqm0iUbNpN9SKu2GZ2GaOklaqMOTVO+FYxvUXQtDByk10qxgNI/ZPV5SSoFtKgLppc0WL1zq8u1Xtvj//fN7aJoinSZpiWMLBILJIqbfcqqhDHz5+oAsV4eGrFBOHnNfDV+Kmo1r6/jh/5+9Pw+yLLsP+87vXd++v3y5b5VZa1f13o1e0CDQ3UADkCBaNIkQacsyPQotwbH+4cTYYYwNUwF5KEfYEYoZxjAsesYWQ6Bl0pYlWqRIiCAIYgd6re6urn3JfX37dt9d5o/78lVm1pZVlZkvX+bvE9ERnZXbycx3zz33nN/Sola3qdZahAMG2WSQvmSIZMQkX27wyc114hGTgKlRKDf54NJKuyOIzvJ6jTOTmTseQhRFuWcrel1TiYb8trUXrq92ArErNYuTD9EZo2k5WyqnrZca903i2OjMslrwq3ftRUW52ZXbwbnlmkWh0iCb7L0s+e1c986DYE33qzJ5rovtgOt5RCImrVKzU/Fe01QWVqsETY2rs0XCQY3nTvYzNhDvzO/5kt8V5tp8mUrDr2rjd7Ox/EoYwEAm0j4g8RgfjDE5lEBXlS3zaTho0LKdTvWsQrm55V4QDRk8f7qfuZUyrc0ZzopfgSEU0Hnt6SEW12u8/ckyZjsxaiATpmW7XL5VAGCp/WmZhN+6MhkP8oUXx7k2nPA7e7STmrLJEMO5qL/RmQxRb9rMLvsB4NlkkEKpSd1yODeV5UuvTtBo2vzpT25Rr7ZIxQLkyw1qTY2BTJjl9SrrpTq1hs3yeo21YoNI0B/b2ECCUEDHMPwWz0FT48KNNSo1vxpcJGRQb9gkogGaLZv1ShPL8quKW+11mGmoREImnusSiZiYutapLrGR2Pj+5RVW8jUs2+X6nJ9Y8ZVPT3J8NNWu9lUnZOiYpkalYeE4HrWGTcOymVvRefncEG++OEbD8g9D75XcpGkqTxzL0LJd/0C05YLjEGon3RwbTnBzsYxpqLz54iiRkN/l4+psAV1TGe2PYmw6ZI2FTZ45cfd7taoqnJpItzsDKfft5CPuznVd/vTHt1haq7U70bk4rkvLdtB0Be8xu1rqKuiaf4gYDZkM9/sbv+MDfmvykb4YNcuhXLUImP517Hp+p6VyzaJYaRIO6Yz0Rag1HGIJg8G+SCepMV9qslass7ReJRENMDoQI5cJMbNYpj8TIhMPdTr6/OD8PLbt0ZcMMbdc4a99Zuqhk/QiIYORnJ9obuoaY/0xGpbDzHIZ1/U39+Ixf4O1VGuiKB75cpNswr9m/I3j3ZMv3e5i17Qc6o2WdKQRu+7yTJ5PbvqdL9fbyVa263bajj8OtV30QdcUVDxajkc4oJFOBLAdh/curaCqCrqqkIr5HSqnRpJMjyS5NudXZVxaqzE1krgj0XxyOMHV2QK24zLcFyVo6py/ukqpHZDTaDp8dH2dL3xqYkdj1TV1y/UVDhqEAn4V2UjIoD8dptlyeeJYlpNjaWzXPfAd3VLxILl0mLVinaCpd6oB3s1GF7x60yaTCB64riJi9xR3oRySosBIf4LPvjBCOGgwNZhidqVMw7I7BUuW1muYhral3T3467t7PYcKIYTYf7l0mF/43DS/8LlpWrbL7HKZGwslbi74CeVrxTqr7Yr8G8Gn9aZDvdl7lekOCkXxA51CAY2AoRMw/Q7vAUPHNPzg9ICpYWhqO1nETwZxPX8P3nZcnj/d3+0fY4srMwVKVYsbiyU812NiMI7V8ve27tWB417iEXPHZzob1dzrzRY//XiJVDxIwNAoVy1Wiw0WVytYLX8f5CcfL3FlpkC9afOzC0t87vkRFEXFtl2UdsG3YqVJImriOC4/OL9Are53tBjORelPh5kYilOqWCzVawQDGrbt0JcK+4VLFD+MTG13InVdPwB8drlCsdpsJ0M4aKr/MZW6RdNyOok/9YZNU/U7bziuR6nS9CsBKwrFShFFVam7DoapEQoYKNAJbtuIr1IUhcFMiEbTptFsB8t6frcRXVWZHI6RjYa5tVL2C//UbExdI9gOakvFQv7+cdjg5GiStz9ZJhTwfwcTw/F2cJjKc6dyBAyNTMLvnL7SPiseykbw2udr04MxdNNsd4euYRoq/97PTdGybxdpi4YMnj3Vz83lMkFd5exU5p5/61BAZ7Q/huO4nf3Qa3Ml6pbNibHUHV0cNz/f9aVCpBO3z/5uLJQ6z0gHtaNNL5kcSjDaH+ucST+MbDLML35umobl3rV4XzYZIhUf2hJdtnHeMJiNsLBS4cLNPPVGi8hAjKuzBWpNG7f9tw4GNEZzW4sCpeJBfvGNE3d8z0rd4k9/fJNKtcVIf5SRXIzBbARdU8m2n4+blk0yFqBUsQiH/H19Q1dZLdRxPNs/U3OgbjkYhkLAVKnU/PPU6/NFzk1naFp+t6WAoREP61SbDh9eWSMcMrEdPz5DV/0iXbrmnz0mogGUdgfk1YKfAGLqaruwnYLRTqjUdb87UF8yjKFr3Fwq4ToenuefCSfCAeIxk1KlSSigMz6Y4PKtPKqi4Kj+efHMYtm/L+kac0sV8uUGdcsPKSuUGrzxwjhnJrOEQyY/fG+eYEAnEtQpVJqUqi2CpkexopBJhDrBmE3LT2KZXa6QTYYxDe32uaHin9k1mg7laoty1WIgHWatXYjy2HDCD9bV1dstHOCeBQGuzRX5wQfzrBWbfkd0BZLROyt+iztdnSvwyc31zr3le+8v8KtfeYKrswXGB+NMDMW5PlvEcSEWMQiYBrbTYGapjNWyMVS/+Kmi3i66uJnjAp6/V0i7QKzj3i6wrmoKHv5+QanS6nTeAP9+p+kQChh4LowPRLEs/5xeVxUiIRNdgXLdL5Danw6RS0banaT8rvaa6icqqprC9EiCuuX4+1/xIE9MZnChk2Dk30dbLK1VKFT8fUar5XcWnh5JEA4aTAzEmV2uoGkKU8MJomGTbDLkF7d4yDiT6ZEk1+eLeMDEYHzLXOq1z1JqDZtK++fbsNtnEeLwi4VNXjwzsKN19sN6+kSOMxNpUNV296oIfakQoYDO2xeXmBhM+EmFKqSSQRKxAA3LJpsMcXoyw5XZAq7jsrRexdkaIsBgNkK52mRqJMlnnhnmo+t5KrUW6ViQE2NJfnZhmabtMjYQJRIyuXBznSuzBZKxQKeoo4JCf8bfs0y1C0BnkkFcz6VUazGY9ov89iX99XDdchnORTB0BUVT0PD3Oqt1G11XGB9I+GuCdieOyeE4xWqTluMRD+vUms7tpH/XZWW9Sb3ld+RzPJt0LAIeGLqf1DG3Uuk8O1VrFo7j0mq5eJ6fUDaci/kFZlernUSJ9hMAqqbhen4BzMFshFBAp2k5RMMGxUqDWsPvVmiaGm++OEYsvIhuaHzp5QnWi3WuzBaJhQ0GMmHOX1ml0bQpVSx0VeWTm+s0mjaDmQjFmsV60d9XXlqvtAv6+ffXq3PFTePyC9T5Sage5bqNYagYuv8fClyfL3b2F67O5vnuu/MUyk00XWGtWOf50wOddf+WLo3buK7HhevrNNsFE8o1i1P3iWWaXa6wsFoF/MS4s1OZA3/Gs9tCpu7HobXj8CKh3vv5h3N+h82W46EAkR4MulecO1/XprE7iXXdlEn0XhKHZW1NqGntxuH4PnM82mfZ/h6It627yE713mxwBCSjIYazEdaKDQLtTayN6gYNy2/t7LdyVgkHNcBvORuPGMQjJoauYZp+ZQTwA5hbLZdsKkwsGiTbrhpj6BoNyyEZMWm0HFbyNW4tldtVIRwG+6IEinXWi01cx20nMKgEA4Yf6Gj7D0ytlt/uzDRVqg2bWwsl0okQgYCG53k0mn4bKF3TeOZEjo+vr5EvNcD2E0RQFFKJALrqV8W5cGO9vRiy/DZmCgQDfkDX0nqNmaUS5ZqfAFGqNbi54IGiEA6ZhEyNSzfz9GcjDPdFiUaMTnvmbDJEPBIkFDBZWq9iGhqTQ3F++vGS3+XE9Tg5lmI4F6VY8R/Crs0VaDQdIgGDhuW3EI5ETNaLdVz8jZ58qYGpb90Y27zoHumPMbJpI/L9yytcuO63KitXLRIRk+nRJGMD8S2VfXVdJaEHSEzdvlFUahZXZ/0K9oVyE8/zGNt2IL/58z/3/OiWfwuaO+visZtUVUHdYcaitrFzcIj5Lddv/4wr+TqLq7cDqk1do2H5gcyzy2XWig0u3sz7SVOqwnK+Tsv2s7UVBxotm7VCg43ds+U1u115Aj/w3/MDRAO6SrPlUqi0OolTaruNTyhoULccEtEAmqZQrrWo1VpoqkIwYhILGaRiQT+ZIxakPx3mg6urREMGo7kYT05l+SufPkax0mRmqcyV2QK2HSKbCDOYCXNjscxAOsKLZ/q5vlDmo2urlKotGi0bBchlwsTDJuGgQaXuVx72W3K3GMyEiYZNEtEAx4aSXJ8rYjstUPzrTNc0yjU/yco0NaIhhxPjKWKRAMF2R4sb8yVWCw3G+v3NYsfx/IpSIYOp4QTZRMivztGuEhBpb/4m24FsftUChUjYf9CJhQ0mBtsbl6bOFz41gef5f8tStcn8Ws2vnKz5m8e5VJhKvfVImeRWy+kkcABbqlTthGH4XVTsdqnXnXTRGR+I3xHos5sSEZMVy8881XX1wAbDtmyH6/MlmpZDLh2+b2togHAoQLF2O6PW1CAZDbAeCeDaDm7DxvMgHjbxPIhFTYKmwzMnc1yfK1KoWDQsm2KlyYdXV2m0nE5FhJ98vEixYrU3V1Q03d80dVy3fcisoSoKY/1xnjrRd98q8aGgv1ZothyiIeOOAOvhvijDfVEmBmL83p9eolK3eP7UAJlEiNV24lUooDPSrhASCuoko0FK1a2bl+Vaa0vwYV8qRF8qxNxKhblNrYljYRPb9g+Vw0GD/kyYZCzISqHOyYkUmqqiqgrBgE6+1OSp6T4q9RaXbvkbAlo7seDqbIFKvYXd7h5WrbcIBXUW12sM52Jk40EMQ6Nu+a3D1faBrevCYDpCsdogFQ+zmq+yvF6jWm8xmotjGv51XKg00TWN0YEoX33jFKuFGoWKRSYe5OnjOS7eyHP+yiq2bfO9DxYIBXSCps5v/W/v8x+8ddo/SO2LomkKEwNxao0WH1xZbVcUYks1yJ1uVmwkA4ZMDbh9aLLR0WCD7bhcbHfaAD8Q/fTk1g2UB92rjYcMxBe3NSybSq3VudYaTX9TdNVoUCxbj9yFY2PFpKoq44Mx4pEAYwPxTpBJy3aZGIwTCur058NMDvobmhvVJH/y0SLhoE6t4T9bvHCqn8G+KOl4kIs3853v84PzcwQM/zVp2XVeeXLYv5ec89ctcysV1op1SlWLSr2FoSpcXyhSqDRZzlcZ6nv4w/ihPv962fj9fXIjj6GppFNBdF2l1XJ5cjrLe5dXMDSN1WKdtXKDs8cynQT33RIK6p3NR/UuFXkeluO4XF8oUW/4h84SrCBsx+W9dvdMVWm3EHddnPbm56POERuBSeGggdWyURSFYECl3nRxXI9600XXHD6+vt7uepfkrZcmOp2lZpbKna+1kq9RrDQ5NpxgYijRWWdEQ8YdVRQjmyq2qurO72n3Mtof72x6qarit+/GX0Pq9Ma9aWIwzsTgg9fWcyu3DzAK5Samoe1qZyFxcMxtSmp/WH5RA//6HsxG+LmnxzrvSye2dqXZ6PYphBCidxi6yuRQgsmhOwuweJ6HZbvUG7bfQbhpd7qkO46H63m4jofjeZ1O5AeN53md4hD+9q/SCbzf/Pbd37/185T2Q/Hd3ue/cft9WntfKWj6HdtNXT10RSo2usoHdJVyrYXteJjGoz/D7vRMp9zeDyzXWjiuh9XyA6MLNYuV9Srr7cIIjutxY76IZTuslxvgwbXZEsN9EVCg2fKL1GxUJQ2YOpVaq/Na/uDyCoVKk2wyiOP5xW1s2yUVDTI9msR1/AIP8ahOsdKiWLFwXZdCuYGha0RDBoWyX1THap+t+Ik5dIJU9XYx4Y2rp+W42K6D5ymdLhyKrmLbHj/3zBDX50tUGy101cB2/f3SwUyESsMiGjJRFbt9hqFw8VaeUEDzO5DW/Krk8bDJRH+cQsWi5Ticmcr4CR0Bja++foJISEdVVRbWagz3RfjyKxNomv/3XCvWuTpbRFNVBrMRYhGTXDpMKhbYsgb82QW/1E6+3KBYsdBUlVMTt7seBEyN6dFk5zkwk7h3l8NUPMhwLkq+1CAcNBgfjHNueudV9Tef/e30GUns3OMEgqqqSjh478+/17lto2nzvQ/mO3vOpZqFrvlnFcPZKAPZCNMjScbv8rdWVRVDh0u38jQth2wyxJ/99CZzK1VKVYsLN9Z57elhPry2ylAmgqqp1Ootltf9jtnpeIDVYsNPjjA0jo0kubVYptFsoWoqT06nKNUs1gt1wkGDeMRAN1Rs22GoL0q5brFaaGA5DrbjYds2lYaNofmBN6Gghuv6Z5SG7p9PKMBqoUG9adOyXWzHQVVVv9ilQrtjgkF/OoTrelye9TsaDWYi1C1/XyYRCdByXGKRAGP9MQKGiuu59KcjfoCnR/t3qHd+p7WGH88RDupU636X70bTZmo4wZNTWf7N96+xuFr1E1NMHdf1CLf3YlKxoJ+U0n59pNrdUIb7Itxc9PcnT4ylOpW4h/siLOfrZBIhXnxikHjk9p5EMKAzNZxgYdWPr7jXNby05u9rDKRD2LaL58GpiRTTo3d2XBFbue2MCtfzaFo2q4Ua9Ya9Ze/t2ZN+EulPPl7Ecz2CAZ1a0/a7+KqgeSqxkImmqQQMlZbj4rUTNRTPL+7oeX4Cx6YC7yiAbXvU3BaRoF8QrWm5nfeBvzbwHA9dV6lbNlbT//vWmw6W3SAU0NsF0fzrR9VUPvvcKK7r8ZOPF1lc9QvLhgMarz49zEhfjGKlSTCgt5NPHVbzfnevoKmxnG/4ySGawvxqhULFj6l5//IqoaDO9EiK3LZzW0VR0LWHX+MlYwGeOZm76/sWVqvMr/iva9f1CAb8c/dMIvTQibJCwMPFTj0ssz3/1xotLs8WwPO7/OQSQdLxANW6SiRk8NzJHKcnbyfv1trXneuqBEM6qkqni7Cq+ufOx4aTPHsyR6Vm+ed17c7dDdslHPKT4T3P4+pcAVVRqTdsCi2HM5NpSjWL/lSY0YEonud3BA+YGrGQSV8qQiLqEA2ZFCtN8uUmjuORigeoN20W12uoisLJ8SRnJjPcXCwRCui8dG6AE2O37y2La1X/nu64REIGq8UaK/kGnuuhabBc2Ciq41Gq2Dx/KkG9aaNrKkFT78QuFMpNPrq2xnLej98qVptkEqFOl/GW4xAJ+8UhFRUysSCqqlJtWgQNnamRJJmEHzfhd88CRVHb3xnOX17rxMb86Pw8owN+JyHwn3nW2kkaDavO4lqFmaUKlu1Qrbew2wW4Af/fGhaLq612B6EAlU1xRJ7Hlp9pfDDWSXbPpUPcmL99/rO4VmNhrQIoYPmJFs+fvp24G7pPoWfLdjpnqHD7+fBeNseTuK5f7PKoJXGoqr8mCwWMTR1testw1o9LKFUtNFW5o5tfL7hbPrKp9X7X8nrz4eIJD4L6tiHfWnr087NuOTWe4tpsgbVSg0hI5+kTj9aB8GjNhj0ilw4xMZRgfNDfrJ8YjGMafiX4UMAAxW4HL6vUGg6gMDmUYK1YJxwwiEVM/zD3mSF+9OESjusxmI3w5vNjzKxUaFg2I8EosbDJTz9eYjlfQ1FUUrEgq8U61Xqr3UIYJoYSNFt5NBUqdZu+VBhD0+hLhYhHA9xaKFFyPUxdwe+W5LdRK1YtLt70q0eYpkbTdlgr1njjhVEGsxGW1moYuuW3F3UcNBQGM2EG0hGW1xt4QCIaZK1Yx3E9zh7LoKkq4wNxKlWLWNik0mhhaiqq5id/WJZDqt2u8ZlsDjxYKzXIJEJMDMbRNb8C92A763hDsdqk2mh1OiI0WjbzK9V29QqDp6b7+MPvXSPUrrpjWQ7hgEFfIkyoHRC9XmqQ3mGlzGLldkXfWMSkL+UHxv7owwUCps5nnh7qVKVvWDaXZwqdgL9oaGsQR71576xX0Rtq2/6G1+eLzK9UqNRbNFoO9WbL32TxXGoNm2bTDwQ1A/6DTSwUYGW9joffQtw02lXCLAU9pHRaWs8ul6k3bT66toqCR8jUCRgqHh7hkIHrQjigEwmZJCIBKjW/ElUmGeL0RNqv1l21KNctavMtNp9zlWoWjutxeaaA63oMZaOM9cfoS4VpWg4vnxsiFQ9yc7HEerHRPmhs0bJdNNVvAV5r+K/xerNFvWkTjwToT4f41BODLOdrWC2XyaFYp0Vq2HFAUckmAp2EjljY5OR4imR70ySXDlNr2hwbThKP1hkfjBMw/YfIoKGTiJqcGEsRDhocbz/klWtWe35SGc5F0TWVp0/2Uaw0/KQXIB0PbnkYAXj2ZI4//fENXA+enMr6iQrthDhFefSWX4F25bdme07evGm6E5qqcGoixfxqFU1VGMntbnDro3jt6RHeu7RMs+VwZvLgZtffWPA7RwHcXPCrFdyvYu30SJKFtdtJHCO5CJ99boTVwhUc1yNoOqQSQVRF4dhogng4yOVb61Sqlp/go/iH9S3brwJRqlhcnS0QMFRW8v7X7UuGWSs2iEdN4mGTk2NpErGA3zWn3TrzfgkcLdslFjIYyLQzsBXumUTzwZW1TjLASqHOaqHG1EiS2eVKO0FBw9D8DjiJWICgqXUCD+Her9WhrP+9a40W6XiQeMTEth2+8/Y6pVqTU+Npnj/dj9MOarXslv853u35smX7mznD2QgB0w+wNgy9Hezq+ZvP7Qo/ruvRnw4zu1whHjFJRgOslhpMDiY4PZlmYbVKJhngq+eOM7tS5ds/m0HXVKyWy2qhxlB/DEPTCBgahqEykIm2291urUxXqDTaY6OzSWS1XKy6Q6XWRNP8qlWmqfGtn9xktdDAtv1Wrn7VucfLircsmz9/Z9avOuZ4qLqCqWq8eLafXCq8pfqGrB32V9DU/SDcmkU67s8BoYCOZduYhkKt+WhB2n4Ch9+yeKQvSjhscnoijdVOZMLzqNZbaJrKGy+MspyvoygKw7kohqYy3BdlveR3/NLapfrrTZtwUEfTlM5rxnGA9tTnd4+xOgmBm9uSf3RtjdnlMtfnS51ACL9j3eNt3ARNnXNTGb9bVrvyQjxi0rL9IHfHcTtd9TRVoT8d2VHC4k4dG04wt1yhZbsMZMJbutg8ivnVaqdSzsbvW6rtH20zS2UUFDLxEOVaE11T0TSVpr2zuVrFD1bbNM0TMDXCpoauqyRjASJBjfWiRaNlk4oZqKpKOh7AcfyObaritz/+8MoKP/pwkZCp8eTxLAClqn9wMtQuMmE+oFPbmy+OUalblCothnMRnnyIoJ67mRyKYxh+8lYuHb5npcfDYPv9ud60JYnjkHLsRw+sTUT9asuRkM5nnxt98CcIIYQ4NBTFrwYeMLTOc5gQG+IRk1LFIpcOEw61yKVC5NLhXdl3tW2X77wzy+JahUQ0yBsvjBJuJ2/HIwHWig1iYaMdMOqv14ezURzbpdlyURWFgXSIcNDwg3baFQqrdYubCy5DmQjNps3UUIKm7aCgkI75e4bVeoul9Ro3F8sEAxor637nedv2CAV1yjULPI+BbJhAwO8AUqm1UBX/bKDe7oBrtqvjZxIh1gsNapaNpvqBZrWmg676Se+6pmJoOqGgiu05qIqGZfvvDwQM7JaNpiuMDcQYG4yTiJrMLJUpVJoMZaKcO97H+Sur9KVodwbwE0b880uFlXydiYE4I7lQp3DQL7x+nKtzxS2bQ8GAjqZp/PzPTdNo2ly4uc7/9w8/pmU7TA4lefnJAVRV8Qt9KQonx1N3TeCNR0wWV6us5OsYukq10eLmQpnp0aT/fUydE2Mp//3t/aX72Sj+IwT4Z2mb95zXSw1OjqU7iQLxqHnfrvAzS+XO+cvMUpnlgn8G4jgurgef3FzHcT2W12uoispy3j970DQVy3b8YmwBHcetUqlZfjGL9nXdbDmcncxQqllUqhaK6gchZlN+dexnjvdxc6nMh1fXAGi2/LknFg6gayonxpM0Gy6LhRqmpmIYfreccs2i5XioKuCpJCIBYmGd1UIDx/Xnu7FcjJVik2Q0wHK+zlK+hut6RNpzoKEphAIGmUSQRDSIpsH1+TLgETD1djEOh1Q8gG07mLqKh5+QONTnVzD3uwX58+lbL03wyY11ZlcqpOMBypUWifae7VA2wvxqBc/zg+02EmrmVqokIgES7eC7YEDDcfwkkOmRJGens3c9Z9pePOpuBrKRdtE8lbGBGD/37IgUsWnzC5WW0VSFY8OJTgLA7HKZ2eUyjgvDuWjnDO7YSILrC0WiYeOOANp42OT6QolLt/LYtouhKWhBg3BQ5/hoAs9TKFaamK4fG2O7fgLHBlWFgK7TbPnv8wBNAbNdeC+hqeTLdT9eqH3YZugauq7RlwhiahqebhM0VUqWjaKqtByHUEAnHjE6iZ1Ny+H5MwMM52J8dHWVluOSjgd57mT/HXuMuqaSigeZaMdHNSy/q9X0aJLFtSrxsNl5/W3MHfthcxyHqioMZCK3z1iFOKCalsPyeo1ixULXFU6MpvjKa1MsrVfpa3fe2OzyTKETi9JouCSiAWrtxEE/fshguH2+r6oK2WSIhmUTCRp8fGOt09GhVLW4tVTGc/3gfr3dKSedCKFrKpGQTrVhdzpsefjJjrfHkfeLL3uwWjDwFJd6w4+1uTZXZHokRSrmF3sz9a3z4ivnhggGdKq1FpPDcfKlBu9fWsV2XfBcrs6WOh/ruR7FssXCWoVwyODssa2FDxXF71xnOy7RkLm5IRl9qQhnJ11uLpUxDZXp0STXZ4voegBN9ZNOw0GDcNCgZbsMZyMsqAqO4xKLmFy6ladS9WOtQgH/97G0ViVg6gxmtyamrRTrmIaGaWhYtoum+Uk5nucxmPHjNg3DQdNU0okQowMxbi2WScaCRMMGhdLtudJxvS1JL8vr9U6HjWQ0CJ7fFU1VFcb6o0wMxSlWmkRDJgOZSOeZxthWEMHUHy6WaeMZb+O19ChFcHtdMKCj6ypGu3NU+D5JMgeV6/mvBcNQ/YKsPVgkY2piCDi/5d/ikd7faws9ZjHKg6DZ6r1YpkQ0wOc/NU6+3CASNBjMPtpasfdmgyMgFQ/y5ovj3FwskQgHODmRwnFcltZrDPVFAAXP8+hLhlgv+UFA4aDO08f7qFs2UyNJTo2nsN0cowMJWrbL6Yk0+XKT1KZWV+GgTjoRQFMVbMfB8zwK5Sa241eNMXWNF8/0M9Yfo1htoWsQDplM9scZH4rxRz+4weRgnBsLJZbXazRtl6ZlY5p+RfBo2Gi3INO4uVDi6myRq/MlXjg1wDOncrzzyTLgBxl/+VW/iozj+FUDImGd63Ml0vEgYwMxStUmA5kQuXQE01D58NoacdXAdlz60yGW1+tEgjqqqjDcF+XVJ4dYztdJFerkyw10za+UcbcDjqCpUWu0WC82iYb9xZTnQdDQSEYDWI6LpvkVOvzgcpN0LMiNxRLBgEY8GmC4f+dVY8YH4txaKoMHmuYH8n141a+IU6u3+MnHS3z5lUnA37iqt/9mK3m/Ysjmqvr32iyptAPu+xLBTsa1OJgy8aB/HXt+JfZmy998zJebtFoO8ai/CZgv+ddmOGigaCqZeIBQwOTMRJqgqXJ1roTn2gR0jYG+CPMrFRT8hIVme6MEFGzHw2i3stZ1Bc+DgKEzkI2QSQQJGhqJaJCmZRNrBzwHTJWl9TqLa1VUVSWgK3jrt3+G0VwM13W3VHmzXY+RXHTLIr7V7igx3BdFVapUGza6qlBp+NfV9bki66UGyViQSEYnGQsy1BclkwyxvF5D11R+8fVp3r+8SrVhE4v4D0Cjg34As6L4bV43Hg5eOjtIImr61fkdt1O9Znwwfs+uCrGweUewVMDQePZUjp9+vIzeDljf2IjesLhW4/hompbtcmuxRDRsoGkKfakwU8OJzsHWw1JVhdMTaZbWa2iaH5z6sMJBg+l2Na2DIBzUeeXJoW4P44E2d0ABP3GgE8l8F8N9USJBvX2wpzI5kuLTT42gtrtEgMLJ8TTX5grMLFXQowpTIyn6UyGiEZNGo0Wl3qJSa5FsV0i6tVgmFvErT8QjJqcmUrRsl5FcjOdO9d9RZeZ+ZpfLfrUYBZIxk1DA7zZzr8SUOwMJHbJJlYnBOI7r8c7FJZbX651rLhTQOTmeolS1iIYMUvG7V25TFOWOw753Lq6gaQqpWLCzkb0xF0bwq5Qr+NXgltZqhIMGwYBf0QfFn0ePjyT56ceLVBstag0bU1f9Ti8ho/3g6M8PAdOvIpSMBRgfiHdaeuq6xvHRJD88P0/L9oiHDVLxEGePZXBsB9vx1yuD6TCLa1VyqRCqertC2fhgnCuzBUJBnVjIP7h2XY9cKtypkmfZDh9dW+1UAyxWmgz1RUnFgthb88Ie2ofX11nJ1zsdzfqSIQYyEX704SJffeNEp+MC3L+qnth9qqry+U+N8/H1VTRVpVBu8P0P5qlbDq4HQdOviGVofhKXh1/h5l4V+MOmykYmpeN6qApU6w6BgEe9aTPaH2NiMN5JqqrWW6yVmp2qihuemMpwZaaA50EqHuhUjzJ0jTOTGVYL9XbVLJcr7S5w/rrg7q+fdDzI6ckMlZq/+fjMyVxn4/ZxaZrK6cl0J+gglwqjtDtnXbixxnrRfyBeLzZ4/9IyL+/iPUbX1LtWDHxU25NAe7ElqNhdVsshkwxiOy6FioGqwMUZvxKlo3hbDgi2UwAzoIEHAdVf02uawrHhOJODcbLJSKdzpEeBxbUqjuvRnw5ybrqPCzfWaTn+vdl1PN6/vEI4ZJJNhPjo+jqffXaEK7MFVFXpFBPYeA69l/50hK++eZJKrUUsbD52gKGmqXvaIe4gySSCnUNoTVOkmt8h5qnAfdZ+G0/QHrcrkwOkYib/4RdPsbhe46npLCfG7t2aXgghhBBHy/GRJEvrNVzPL2byuAUINrtwY4351QprxQZzK1WqjRZ/7bVjhIMGfakQquoHE00Mxllun2GdnkgRCRmd/dWAqfH686NcnSvw8fV1dF2l2XRIxw2iYZNPnR3k/NVVGk2betPh5XMDjA/EKVSa/OW7c/7zUqlFrWnj2K5f7A6/O2A07BesmV2uYDuefzagQCIWJBZpEIuYBEyNgWyERDTAwlqVxbWqfy5iqoQaNql4EM/1OvuFftE3l/VSnXy5iaGpFKpNggGDRCTA1fkSz5zIkYwFKVYtP/A6ZLC8VmN8ME5fqkUmHkTV4NZ8hXKthaL6+8vD/VEG0hFqTZvTk2kyiRCFcrNTdTcWNrd0xL21VObKTL5zFjy3UubSrSBnj2VYKzYImBq51N33iKdGkjiuS7neIhkN+NV3t21CJqIBefYQjyQT9wMEN6o+T48k0XUVu73Xlb7H+cCG7a/F0VyMa3NFTMMv3FiqNomGDIoVi1bLoVBtoqkq6ViAlu0x1h/CajmETJ1K3cJx/WJq5VqLStXi8myRZNTE8TwGkkEGMxHOTmVZXKtBIsT4UIL1UoNbi2V0TcNx/KSyVDLIC6cGODed5S/fn+PGnB/0mYwYzC5X/GQNTSMRM/n0k8Ncny9SazjEwgbpeIi5tRr9qTDZZBAPv8hOJBogGTVZLzXbCRwBFMU/v3j+9ADNpksqFmA0F2WsP85qsYGqwpnJLC27xQ/PL2LoKk9O57g+X9zyOzw1kWZyKEG5ZrU7Dm0tGHNy/M7nRqt15+++YTntmIvwfQuFPcjkUAJFgeV83a+6LgkcgD//31ws+Z02XI/r80WePpGjWm/x9oUl/z6hKJyaSNOfiaAq+EX52h23Q9um6eOjSWaWypimRiruXxOxsM5ILs7zp3PUmw5TIwn+5Mc3qdQsSlULy/Y6XThURfX/BwVV8YvEaZpCPBIgm/Irzg9lw1ybK9FqOe17qV+saqw/RjoRZCXvx+Cslxo0mrb/NVSFWDCAaWp+TIuucn2+yNljGcIBvyBbJhG8Z5GW0f6on8DVjhd69kSOWMQkHQ/yzqXlTmzNfu4Vbo7jUFWlU0hSiIPM8/xuUp7n0Wr5Z4fPnMy1ixTeafM5VToe4LPPjfHJjTVU1T/ry8RDnXiCsYE4q8V655qIhQwaTf++oqkK9XYHKU31u368/sIYa8UGhq7Snw5TrrUoVpqdYmxX2+ePmqagayrRsIHjgq4rrBdbNFpup6hdJGR0gv5td+s5ha6rvHhmoPP2aH+c/nbyQbne5DvvzvnjVCAeMnBcl2QsiKYqzKxUOT0R6PxMo/0x3vlkBdfzIAQvnM4x3z5z7U+HKVSaxMsmhqESDRpMj6Yo1/wCeJFtSQwjAzGGczFsxyUZM7l4M+9/Xc9Pll9aq9FsObQc/281nItSa9hEgjqhoMaVGf/3Y+oamWSASNDG8yAW8RP8NuKaXNdjeiTF9IifqFEoN9sF/+4+d51qxx8B9KWCxN4OoKgKmuLHa+RS4c4zRq3R4pObftLgRlFdtb1WUFWFM5P+11LVB8cyjeSiBAytcz8IHOKiXfdi6honxlLtLiQasYcs4nsQlKoWtuvHHSqKXxC+16iKQkBXaLYLbgUMBc9zgd5+TSbjvbdOCRoqjU2xeaM92mE+mwyRTT5e4U6J7j6g+tPhLUHGmqYydJcKJ+lEkMX1GrbtkowHeXki3Vm4mCo8feJ267+NTcANrusxkouRirdYLdSJBP0b/cJ6lWTUJJ0I8cyJPm4uhrAdF03zg4nDQQPP8xjNRVkvNelPhwkFDPrSQS5cW/ez7KMBXn9uhLmVGuvFOjcW/GBMPHjn0hL//ueOEwnoFGtNnpjI8OpTw7Qcl0KlSaRdteLmQhlVVVgtNIiGDYayMXRd5YljWf72z5/l0q08Q30RAobO0lqV9fZm6nNn+lEUpfM7rNRb1Bot4mGT4F2yGB3HIxoyaVh+IovreIQCOul4kEjIIB0PcGoyxcximZbjcmIsxfhAnEwyyFBfhKdP5B4qm218ME4woLNWrDOUjVBtbL2hOZsCY7a3Ptc1hSemMhQrzS2Lss0WVit8551ZHMfvsPDFlyZ2tSKx2F2peJAzE2lqTRsFuD5fAkNjbMBvaTc1kuBzz4741a7Wq5iazmqpRl8ixKtPDaGpKqMDcTLxFS7N+AHErgu5VJiG5RAyNZqWTcDUqdX9w4d41GQkFyUaNjgzkaZYtYgETV55chBNU8mXG5i6X9XNdV3+3U9vcXWmSKlmMTWcoG8gzuRwEtv2MAy1U00nkwh25pmBdPiOtvS59kPN2EAc1/Mr9aiKQjRo4LoeqXiQYMA/8MilQ50s/MCmahyGrtJyAc8P3hzrj3HxVp5KzcIFnj+V6xxS6braaelttRwKlSYBQ3ukQ4lsMsxnnxuh3O6asD0rfONaNXSVsYE4I/1+YPbDds64mwdVPBZ7YyAT7lRBCwX1B2ZeHxtNMjYQo960MQ2N4+2H5FeeHOaFM4O8e9FPXBzMRmm2/EpriYjJMydzmIZGqWpRa7b8h3XLYXG9Sjxq+pv/iSDhgEEyZvLkdN89EyTupWU7nXa/eFCqth4Y9HVyPM1PPl4Ez6+2v7kSxlqhjudCX3sROr9SYWok+ciHfs62jRa7XY3HaXe0iIYMFNXfmI2HTWzH49kTfVSbNuGATjRskio3OTORplRtkU/6FYJiYZNXnhzg5ESaZDzYSYo8OZ4mGQ1sqdbjeh6T7VawM0sVTEPlC58aZ2IoQTYZYmGlSr7cYLXY4N/95BYDmQhvvjjW+fyBTIS3XhpnOV/nsy8M88m1PJbtkGn/rQzdD5D/xPUz4BTFPyRNRgMM9UU6892j2giq9Tw6XRD8t71OMth6qYmuKQ/9+hGPLxzUef60v3n4v/67ixTaa1bX8UgnQhi6gq5pLOdr6KqKorhUmy7ZhN/5qVL1K95oqkIyahAOBmk5NrqqYbY3eCaHEp1k3+2HINvXkwAnx1L0Jf3DTlVRCAb0zvUbCuid+05/Okx/JoJl+R2x9E2BBJsNZv0OGOGATst20TV1VytS+R1rtt4LT02k/YCKUrNTjWy3Ekf2Sn86TKHcxHU9TEN94IG2OPz60xFKVYtwQKfaCBEJ6piGxgUtT7naxHH8Z0DHcXFdl5bjYrvtQ1fFPySoNSxAJRTQ6U+H+VtfPsPYQALH9VhYrXJ1roBm+IEO4aDBSH+UTz85TF8qxPkrq9iOi9eukOe4HuW6RTzm39PPTmX5+NoaLdtFVZXOvf9+UrHgHQnP4sEyiRCmoVFv2iSigSN5gHFUhAI61j2qCWkqTA5EKdUdhrJhTk1k+NnHi+iGyq984TTPnMzd9fOEEEIIcbTd6/xwN9iOH/i1EfRrWQ7zq9VO0SC/Mrv/seODt6vun5vKkooGKNctRnMxomGTp47nOD2R4cKNdfKlRqfwUSIa4EsvT/gdcxNBcu3gn0QsyNxyhY+ur1FqObRsl0w8gOV4uK5HIhbg1HiGVDxIy3ZYXq+jqgq5dJBsMkg01IeHX6BhajhOo+X41WINjcszBVTV33vMF/0O5MeGEjRbDl57P7TWsLlwY51a08JbUEhGTcYH4+3u12kMXSUc1AkGNCzL4ep8iUw8iGW7/Nyzw+TSYf7oB9cZzIapNFpkU0EmBxN+BeNUiPH2Psex4QTJWADP8wPfN5+ruJ7H5lx6zwPHdjsVfu9HU/3Ky7bj+fuiClI9XOwa09T54ssTXJ8vEgroTAwmOudwQVN/4NlYfzpMuWr5RRUDGn/9s9N8fH2Nj66usl5qMrtSQVFsgqZONGLgApV6Cw+YGIhxZjLNtbkSTcshmwzy8fV1bM9jLB7CNNR2kolJy3YYyET5uWeHCQf94lMbBRvPX1khX2riuC6hgMZrz47wypNDnS5Gn39hnBsjfvBkPGwyt1plbrWGpsHp8TTnprPUmzbFqkUiGkDXVTKJIPFoAMtymB5JkU0EWc7XKbU/5kw7jqM/E2ZqOMknN9cZ2xSQ3p+JcGxLMR6dL77sF350XY+VQq2TOLP5er5bgbp7GchEuDZf7JyzJqIBUo+RuLHdxGCi001B+FyPLRWbNo7EytUm5fbf0/M8ag2bzz47wo2FUufvc7dCbJqmMjWSYLVQB9ejUGkyMZjglSeHUBSoN+v0pfwOuY1miws32tXtXT92xNT9ivilagsFMAwVU9f49NNDmIZ//d5aKJEv+UGaE4NRJoeSWC2HoKlTqbeYGknQbEVpNG1WCg00TSGXDNGXDlGp+R2oTV3rdI3aSVG6bDLMF1+aYHG9SjYRom9TkmJfKsRKoc5gJrKvZ1yb4zjuFWskxEGjqn7nuGq9haGrD9yrH8iEO3EE2WSI/+BkjuvzZUxTZbK9Pt4cn9afDlNt+EWcYiGT770/h+26DKQj5FLBTvxbNOwngG0+24tHzC1rhI398I3OghsJJQFTY7VQp1huggLZZJBQUN/xmlZTFYay/vOR44T57DMjfHxtHVVTODmWYr3c7Jx3GprKmckMtXqLWMTk6myB05N+kdxcKsTEUIKR9s+wVqhTqbVItwsmVmoWA9ko8YiJpik8e7LfL6rl+TFOmXiok6Ddsh2eOt7H0loNVQVV8bh4q4jrgoJLMKDxqScGqNRaRMOGH+sVWKDRsBnuj4Hn+Wshz+/wFYuYnQKO26u+J2OBzs8Uj9w5d+ma2im6ObdS4fREmmK1ga5pDOe2PlfOrVQ6SbrlmsV6qbElUNnQtbt2Bbybnd4PDrNMMkRyvUYkaPhnbvdIyD/Igu31SUNVUBT/ObnXaLpGOGTgtRNQoiG/SHOvCRjQbN1+e2IXC1Pul+dO5/jRh4s4LpgavHRusNtD6hpZZfa4oKlzbipLrdHyu2fc56C/PxMmX25gtfxOG6cn06yVGswslamaLSaGEoSDfoXqsYE44wMxMskw8ai/WRkO6p3gaEVRePZUP5du5fE8GOmP0pcM86VXbNbzdUYGYkSCBs2Wh+u4nex8AE3xA5Z+4XPHabYcomETTVXQNJWBtE4uGaZYtVgr1m8vFhOhTjYnwPRoiunR2+2+Tk2kKdda6Jpyx8Zl9B4PuBv6kmEChkY2GWKtWCeVCGLoLSIhg2BAYyATYTATZSlfo1hpUKn5k/innx7uLPwe1uYknXjEZagvwvxKFU1TtiTeDPdFqdTzOO0KQqlY0N+Evs+N/JMb+U4L21q9xfX54j2zqsXBEA2bRMOm3w2n0iRfahIOGhwfTXYCKn/pjRD/9ke3qNVbDPVF+Mwzw/SnI7ieX8nFdT0GstF2FSmPkf4YigK27REJqnz/gwWWCyqVmsXkUIKx/jhD2Qi6rhIMGMSjtxfvm19fa8UGy+t1wiGDWrPFzHKF46MpRvpjdwQWTY0kyaWtTkeM7eIRk3PTWY6PJlnJ17iK4hJpAAEAAElEQVQ0U0BXFZbX6xQqDfqSYXTNb+sdjwQY6b/z+somQ0RCfsecaMhf2D7Z3igNB40tVao2M417V6TaqVBAv6Nl7YaR/ijX5op4Hgz1RY5MxeDDLJMIte9jt+9T9/PMiRzzK1WW1mokYyavPnW7Eryhq515PhTUeeOFMWJhk0jID7iG25sWuaSffLi59eTEUIKxXJRMIvRIG4SKomwp67+TloYn2gHetaZNfyq8JXB7e4KW+pgb/E8d7+M778xi2y59qRCjuRjVRouG5eC6Hul4sLOG2Lw5G9l0KBEM+N0Das0Ws8sV4hGTTDxEMKj7m73JEJV6C1W53ZpzI/FMUfyMblNX+cpnplleqxINGyTbm1ovnhmgUm/xf37/Gl57c31xrUq+1NgynmwyTDbpzzMjWX8OsFp+F6+Nv/W5qSyr+XayWzbC1HAS09TuOt89jDMTaWaXK9TqLUZyEaJhv+rgk+1ENk1T6Us9XqKI2B2VmoWuqaTjIRzH4dx0lsFslMW1GsvrVW4ulgiaOk9mI+RSEZbW/QQiTVfpT4YIBAxqdYtmyyWbDBEKaAxlowTah4uqqpBNBFnJ16g1bAxdvWvLRkVR7tnRbbvJoZ0duiWiAV44M9BJ0tzrNriaqvDCmQHWS03KVYuAqXF26mCveWNhs7Nu2XwPEEdXMhbg3HSWZjv5+vJskXK9he14NJo2uuYnZxiGigLcWiyxWmq2Ezo8omETQ1dw2506j48mGRvwr1lNVRjJRf2iC+YyU4OJzv3cNDU+++woZ49lWFitUa1bfHR9ndWCH/T0zAn//hEwNM5NZ6nWH7zfIB7fwwRdiN41lktwvrLWeTtkAIoKCpw9luX/+ktPs7xeY2QgRjig8/rzoxi62llnCiGEEELsp5PjaS5cX6dQbhIwVEbbxad2YuQuhYlMQ+P0RJoLN9ZpWg4BU6M/HcY0tM5e3AYFCAZ0XnpykOuzRVaLDZJR09/rT4b4q69Ndc5PTo2nadlrGJofqDbcF6NUbfrnoUGd4VxsyzP4RtLLxt4d+JWAA6ZLNGxwcjxNrdHi3HQWq+Vw4fo6s8tlFFXhqeN9aKrC9EgSz/MoVixmlkrEwgaKohAwNJbydc4cy/L5F8e5eCuPpigcG0mSiQfv2G++3x7NcF+U9WKd5XanlWQswJmHOO/T2kFplZpFwNAk+FTsqqCpc3ri9uvxYc7hUrFgZz8k2u5s/eR0H59cz/sJEZrKWrHOWC5GPBZAAcq1JulEiKem+8gmQ6QTIa7NFjB0lXLdolZ3GMxGGOuPcWupDPiBhel4oBM7sPm5e2IwweJ6Hdt2yKXCPHOir5PAAX6huM2xCJ86N8ilmwU0DT791DCTw0lG+mL8739xhXzJrzL+xgtj9KcjrBfrJGP+z3H+6iprpQaVqkU6ESQeCXBiLI3WDnzb7H5nLaqqcGo8TaV+93iInbrbOavYWwFDoz8TZmmtBgqdgOZYJEAsbFKu+WfrA2m/8nksbD7w7zPaH6NQsShWmhiawpnJDOlEiEbTplBu0rJdTk2kmF2u8kLI4MZihabVwjR0+lIhnj6e5d98/wYt28XQNZ48nuHLrxxD1xRuLJQ5f3WN/ox/PVstj75kkLOTWd69vEI2GercU8cH/S46muonNp6aSHNrscxqoY6iwNhDFilMxYN3TdLoS4W7Fui6EcchRK9IRE0yiSC6pqKqyh1B+duN5GKkYkFcz/MLKyoKJydu3/8C2+7vmwuenpxIkUvfjidYKdSZad+DR/qjD4yv2HxffvJ4FkNXsB2vfc5Zx3H9woj6Y6xpNU3jV7/yBFfmSoQDGtlUhG/+2wusFuoEdI3Xnh7aElOoKFvj8TRN7Txz2O2C0PWmjaL4xTv/6mvHWM379/1o2KTZcmg07c76ZoOha4z1xzA0fx84FjGYX63hup5/jp8Mb0nUDgcNXn9utPPssFaoc6Pd1WkwG2EkF71njCQ8OE5yw2AmzPhgjPkV9Y54xY3fx9a3d/iLF3d1GM7cRrMRzh5LM7dSw9BVXnyi94LuNTz/vMXz12bZVAjP670X91PHc7x7cRnXhUTU4FNnR7o9pIf2+vPjrBX9zm7pRJCXnxx68CcdUorneQe7XOkBcv78eQDOnTvX5ZE8Otf1sGy/2szGQ1+pZlGpNZlfqfmBjP0xktHAjm4Wfiasd9/2zM2Ww+Vb65y/uoamqHzq7ADjD8j+8jyPdy4uU623UIFQyODZk7k7Fgi7oVhpcnWuiOO4DPdFySRD6KrSaf+0/eF4Jz/zoyjVLIK6imluXXA6rl8NyNTVHf38P/xg3q8e3/bqU0M7Dr4TD/b2229jmuaezgPNloPeTmzazLZdqo0WkXYL0s3ev7xCs93uVlXg7HSWa3PFdhWaEKO5CMuFBpGgiaJCNKgzs1RhOV/zuwaMJu+6uC/VLP71d6/6LV49j1jE5Odfm9qVTb2biyWW12t+MGsiyGqhjuv6Ld+H+qI9F9hoO267snbvLbTFw7nXPOC6LuXa3a9R8CssgHLPZKPNao0Wl2cKWO2uHY+bGLS8XuPWUhlF8au7PU6FbNf1uDpXIF9uEg7onBhLPfbr3rJdGpZNNKijqv7vx2lXG99JJWrHcbk8W6BYbjK/WmUgE0ZTVXRN5dlT965YbLUcVFXZ0Xzzr/7iKuWaBfgbFH/9s1OEgw+/cbv5Z205fneF3ZjvNt8jLNsGVOnEtcceZU3wZz+9xXsXl7Fsl0hI5+c/M8VANoqiKHieR6Vi0XIdMokwn9xcZ3G1SrHapNG06UuFSUQDhAIax0dTuK5HKGhwZSZPsWoRDRmcGEuhayqe52HZ7l3XsofNg+ZeIfbSbj8bbFy7ruNSt2xuLZapN/3OTpPDcT6+vs5aoUYqFuDybIH1YoNCxcLD44VT/YwNJjgxlrrj61bqLa7M5GnZLgOZyJbqV67rcWW2QKHSREHh1ESSWLj3Wu4K0S0POw/82x/c4F9862OatkNA1/grrx4nHFLRFYUXzg5J1zQhetR+7BcKIQ62wzwPtFoOH11fo950/ASHXdgLvNtZ5d2sFupcnS0wt1LFwy9lPtIX4/RkZksV37mVCrcWS7iuX1BnYjBONhnCsh0Chrajs7UHncVtdEHcvt/WbDncnC/yk4+XOv82PZrkpbN+MMvjnik6jkujffYjex8H22GeB/bL5j141/P4+c9Mtvfg/b1TRdl6vnJzoeR3N9YUhvuiJON+QtR33r7Fcr5OOh7ks8+O3nWf/NKtPKv5OpbtEg7qnJ3KPDAxolKz/OJ4m87yHcchX7GIhExC5p3X+cZ8p2sqjuttmWMqNYvLMwVsx2WoL9qpii16273mgrudR80slZlZKhMwNU6Npx+qMNK97qUb/x4wNFqOR8Oy0RX45GaeUq3FaC7C1EiKH34wz4Uba0TDAd54YbSTUOh5Hn/w7ct+kDLg4vFLr58gFNB55+Jyp5ioX3U+h+dBa9v982HO3oQ4jA7CmuBeMUd77XHWvhvxNnge/9t3rmBZDigK0ZDOv//6iV0b4/3u3dV6i8v3OEsB+MnHi1y4vkY4oPPZ50YfOsHMajkoikLDsrlwfZ1aw8bUVXLpMNOjyft+bst28by9iUe6V7xis+Vw6VaeetMmHQ8yNZzYk7jNw+ggzAN75dZiiesLJcIBnSeOPXgNfdDYtsv//EcfsbBaRcF/jviPv/JEt4f10N7+ZIl3LyxRa9lMj6R4/bnRnivcYLX3m1YLDUZzEU6MpQ9dbMtO8w0kieMhHIYkjl5SqlrcXCyhAOODcalIuUMNy+YHH8xTqFiM5qK8cGag20M6VA7qQqvWaHF9voTreozkorsa+HFlJs+H19YwDY2Xzw5KUIk48g7qPCB8xUrTT1hhd9cPa8U6Pzq/gO14nJvOcmxYEiSPukeZC2oNf51WqllMDMZ59uS9k4w2W8nXWVirYGgak0PxnnsAF+Kw6uaaYLVQ48cfLrJebnQSPo8NJSShWIh99rDzgGU5/J/fu8b8epWhdIS/+uljmHcJ9BFC9BbZJxBCyDzQXa7rcX2+SKXeIhENMD4Q2/fgop98vMjscoVUNMCrTw7eEQAlDj+ZBx7ffu7BN1sO1+eLWC2H/nSE/rR0PxS74zDMBRv7jrbj8eTxbKdgqMTvCLEzh2Ee6LabCyXeu7SCpim8cGbgUN6nF1arLOdrBE2NY8OJXS8kLbpL5oGDbXapzNsXl1EVeP50P4PZ3kumbjRtrs+XaDkOg5kofam7d/gU3bXTfIMjsYN048YN/vP//D8nn88Ti8X4zd/8Taanp7s9LPEA8YjJualst4fRc4KmzuvPj3V7GGKfhYMGTzxEG+2HMT2a2tIyWAghDrJENMC56O5XEM8kQvyVTx/b9a8rjpZwUOfNFx9+ndaXCsmDtxBii2wyLPclIXqQaWr8wuvHuz0MIYQQQohDRVUVpkaSXR3Di2cGePFMV4cgRM/bzz34gOF3PhBC3Ole+44SvyOE2C/jg3HGB+PdHsaeGsxGGMxGuj0MIY6kkf4YI9s67fSaYEDn9KQ8zxwWXe9f941vfIPXX3+dkydPcunSpXt+3O///u/zhS98gTfffJP/8r/8L7Ftu/O+P//zP+eLX/win//85/lP/9P/lGq1uuVz/6v/6r9CVVVu3LjB3/ybf5Ovfe1re/bzCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBC3E3XO3G89dZb/O2//bf5lV/5lXt+zMzMDP/kn/wT/o//4/8gk8nw9//+3+cP/uAP+Bt/429QrVb52te+xu/+7u8yNTXFP/yH/5Df/u3f5td//dcBWFtb44MPPuBLX/oSb7/9Nm+88Qb/7X/73zI7O8vIyMhDj9fzPGq12iP/vEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEOJoUz/O8bg8C4PXXX+e3f/u3OXHixB3v+53f+R3m5ub4+te/DsBf/MVf8Du/8zv87u/+Ln/8x3/Mv/yX/5L/4X/4HwC4cuUKf+fv/B2+/e1vA/DDH/6Qv/t3/y7f//73ef7553nnnXf4W3/rb/Gf/Wf/GS+88MJDjfHtt99+zJ9SCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBCH1XPPPXff93e9E8dOLCwsMDQ01Hl7eHiY+fn5e75vaWkJ13VRVZV/+k//Kel0mlgs1vmYA5K3IoToYaZpdnsIQogusSwLkHlAiKNO5gIhhMwDQgiZB4QQIHOBEELmASGEzANCCJ/MBUIImQeEEDIPCCHg9lzwID2RxAGgKErn/7cnYWx+32Z//Md/TCwWo1wuY9t253MXFxcZHBx86DGYponneUxPTz/05wohDocLFy5gmibnzp3r9lCEEF3y9ttvyzwghJC5QAgh84AQQuYBIQQgc4EQQuYBIYTMA0IIn8wFQgiZB4QQMg8IIQDOnz+/o4/riSSOwcFB5ubmOm/Pz893um8MDg7yox/9qPO+ubk5+vv7UVWVH//4x7z77rtYlsWrr74KwJtvvklfXx8jIyOPNBZFUQiHw4/x0wghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQ4ihSuz2AnXjrrbf41re+xerqKp7n8Xu/93t8+ctfBuC1117j/PnzXL16FYBvfvObnff91//1f813v/td/tW/+ldMTEwA0N/fz3//3//3Xfk5RG9zXbfbQxCiJ7muK9ePEGLX2bbMK0IIIfae3G+6T/4GQghxsMk8LXabvKaEEEII8SBy7ihE75F1vhB7R2JyhBDiaJK5/3DoeieO3/iN3+DP/uzPWF1d5Vd/9VcJh8N861vf4mtf+xqvv/46b7zxBqOjo/yDf/AP+OVf/mVc1+Wll17iF3/xFwGIRqN84xvf4Nd+7ddwHIcTJ07wj//xP97yPY4dO8a/+Bf/gpMnT/LNb36TSCTSjR9V9LCffrzIxVt5TE3j1aeHGO6LdntIQvSES7fyvP3JEq7r8fypAU5OpLo9JCFEj7Ntl2+/fYvl9TqxsMkbL4wSDZvdHpYQQohDZiVf4zvvzNK0HCaG4nz6qeFuD+nIWVyr8t335rBaDsdHknzq7GC3hySEEGIT13X5i3fnmFuuEA7ofO75UVLxYLeHJXrYaqHGX7wzS73pMDEY59NPy/pLCCGEEHf68YcLXJ4tYGoarz0zxGBWzu2FOOi+994cNxZKhAIaP/fsCNlkuNtDEuLQ+OjaGu9dWkZVFT71xCDHhhPdHpIQQog9trBa4S/fncdyHE6MpXjxzEC3hyQeQ9eTOL7+9a/z9a9//Y5//0f/6B9tefurX/0qX/3qV+/6Nd544w3eeOONB36vixcvPtogxZG2Vqxz8WYeAMt2+NnHSwz/nGwGCfEgtu3y048X8Tz/7Z99ssjUSAJd74kmUEKIA+rSTJ7l9ToA5ZrFe5dXJLBWCCHErvvZhWWalgPAjfkSk0MJSebfZz+7sITV/htcnilwbDhBX0oOeIUQ4qC4uVhmbrkCQK1p8/Yny7z54liXRyV62dufLFNvttdfCyXGB+OM9se6PCohhBBCHCQr+RqXZwpA+9z+whJfeU32a4Q4yGaWytxYKAFQbzq8/ckyb7000d1BCXFINCybdy8tgweO4/GTjxcliUMIIY6An3y8hGX7+6iXbuY5NhSXJNkeJpG0QjyAtxGBvvE23j0+Ugixnbft/6WJlxDicXnbb8NyWxZCCLEHtj/3ea7ccPbb9mdx+RMIIcTBcsezmTycice0/TXlys1fCCGEENtsXx7IckGIg2/7uv7OZ0khxGPZdE1t31MXQghxSG2b7mX6722SxCHEA2STYabamcqapvDcqf4uj0iI3qDrKs+ezIECKPDU8T5M6cIhhHhMx8dSpBNBAMIBnXPT2S6PSAghxGH0zIm+Tge54VyUEakCve+eOZFD0xQAJgbj9KelgowQQhwkE4MxBjL+3GyaGk+f6OvyiESve+ZkDlPXABjuizLaL1W1hRBCCLFVfzrMxFAcaJ/bn8x1eURCiAcZ7Y8y1BcBwNQ1npHrVohdEzR1zk5lAFAUJJ5NCCGOiGdP3T5DPTacoC8lZ6i9TO/2AIToBS8/OcQzp3LoqtoJ5BFCPNiZyQzToykASeAQQuwKU1f58iuTNCwbU1dRVZlbhBBC7L7BbJRf/NxxbNclaMrWSTeM9Mf4pddPyN9ACCEOKFVVefPFcXk2E7umPx3mF9+YxrLl3i+EEEKIe/v0U8M8f7pfzu2F6BGqqvL682Py7CjEHnn6RI4zE2lQVYnJEUKII2JUzlAPFfkLCrFDMuEJ8WjkQVEIsRfkviyEEGKv6bqKLg1Mu0r+BkIIcfDJs5nYTaqqEjTl3i+EEEKI+5M1qBC9R65bIfaOKdeXEEIcOXKGenjIXVwIIYQQQgghhBBCCCGEEEIIIYTYoRsLJT6+voamKjw53cdgNtLtIQkhhBBCCCGEEEKIHiJJHEIIIYQQQgghhBBCCCGEEEIIIcQDlKoW/+/ff48fnl/o/JuiwJdenuD/8tfOYhpaF0cnhBBCCCGEEEIIIXqF9FMRQhxZLduhXLNwHLfbQxGPoWW7lGsWtvwdhRBiX9iOP++2bJl3D5tao0W13ur2MIQQu0yee4ToXZV6i3rT7vYwhBA9Stb3Qgix+9ZLDf7v/6+/5IfnF1BVhWdP5Tg3lcXz4I9+cIPf/Gc/lT0z0XOaLYdKzcJ1vW4PRQjRA+RsXghxmDUsW9ZFQgixT+QM2yedOIQQR87iWpXVYp31QoOW45KIBHjqRBZDl+pIB1WlbnH5VoF0PMD4YKLz77VGiws31nEcD0NXeeJYRqpcCSH2zMVbeRrNFqfHM5jm0Zxrmi2Hj6+t0bJdNE3h9ESacNDo9rDELphfqTC7XAEgkwgyNZK842OW12vMrVQY7ouSS4f3eYRCiIc1s1Ti1lIZ13YJBAwCpsaZyQyGLvU8hOgFV2YKrJcaAIz2xxjMRnb0eRvPz8lYgMmhxIM/QQhx4JQqFlfnCmSTQUb744/0NeZWKsy11/fZZIhjwzIfCCHE47JaDv/N/+8nzK1U6EuF+H/86qc68+vPLizx//yffsJPP17id//4Av/JV57o8miFuNPiWoWF1RrjAzHSiRDgJyZdnS3geRAJGZyeSKOqSpdHKoQ4qGqNFp/cyGM7LoaucuZYhsBdzuZnlkqsFhocH0sSDZldGKkQQuzM5vWRB1ydK4IHsbDJyfGUrIuEOIQcx+HC9TwAZ6ezXR7N0VWpWXxyM4/reu0z7PSRjd2VJA4hxJFy/uoq719aYXGtSrFqMT2cZNmo0ZcOMT7waIeiYm+VKhb/7I8+otqwURT47LOjvPjEAADL+TqO42fAt2yX1UKdob5oN4crhDik/vgH1/ngyioAb3+ywt/68ik07eg9QKwV6p1qgo7jsZyvMzEoSRyHwfxqtfP/a8UGI/3OlsOXmaUS/+u/u4TteGiawi+9fnxLYqUQ4mB5+5NF/uynM5SrFigKn3tuBDBZLzXolyQsIQ68RtPuJHAAzK9WdpTEUa9b/LM/uuBf+8Cnnxri1aeG92ycQojdV6zU+Wd/9Am19j7YGy+M8typgYf+OvMrlc7/rxbqjOSiUvhECCEe0//8bz7m4q080ZDBN/7eKwxlb59FPH+6n//bf/gc/83/9FP+5Xeu8OKZfs5OSTCIODiuzOT5l9+5guuBoav8ylsnGchEWVit4rULTVfrLUpVi2Qs0N3BCiEOrJV8vdOBY+Nsfnjb2fzPLizy7Z/N4Hnw/ffn+I++/ATxqCRyCCEOnou38vzrv7i9PnruVI5QwD/3LtcsKvUW8YjMX0IcNr//Z1e4uVgC4MLNdX7pjRNdHtHRtLhe63Q9aloOa8UGA5mdFTM7bKT8ohDiSLk2VwTAsh2alkOlbuG4HrVGq8sjE/dyeXadasMGwPPgw2trnffp2tasd12qCgsh9sjFG/nO/6/kayys1bo4mu7RNXXb21J95LAwNv1tFQW0bZVlPri6ht1OnHQcr5PUJIQ4mD68uobngaIqNC2nE8gpXTiE6A2apqJsuhXv9Nq9OlfqJHAAfLTp+VkI0Rsu3ixS27wPdvXRruPN84aqKnes74UQQjycS7fy/OH3rgHw6//Bc1sSODa8fG6Iz784BsDv/OsPO8EIQhwEH1xeZeMl2bLdzhpj+7OG7BsIIe5n+xyx/cwIbu9LAlQbNpdm1vdjaEII8dA+urJ1fXRzsbzl/XIOLsThU6lbnQQO8ONILcvp4oiOLnkWve3o/uRCiCMpEvSzpuORAAFDJRI0SMYCDKSPZiZfL0jHQ1veTm7KdB/MRkknggQMjb5UiL5kaPunCyHEroiEb3eb0DSFePhoViPrS4XoS4UIGBrpRJDBuxxYi940NZokHNQJBjSmR5J3HL4kt1WaScaC+zk8IcRDSkT9+1Q4oGMaKulYkIFMmHRcrl0heoGhqxwbThAwNcJBnanh5I4+LxkPbEn+iEeO5ppViF6Wjm+9bjfu6Q9reiRJqL2+nxpJoN0luEoIIcTOeJ7H/+d//wDPg889N8Lzp/vv+bH/0ZfPEA7qXJ0t8v335/dxlELc3/Yq+BvdNsYH48QjJgFDY2wgRiQkXZeFEPfWn4lsOZvPpe48m4+Ht843KTlLEEIcUNvXRydGk0TDBgFTY3wwTjgo6yIhDpuQqRHQb3crDpoapindi7thuC9KMhYgYGj0Z8JkEkc35lPv9gCEEGI/vfLkED/+aIFUPMDTJ/pIx4OkYkFSEsx0YE0OJXjtmSEuXM8Tj5h84eXxzvs0VWF6JNm9wQkhjoyf/8wUf/rjm1i2yytnB45s62dFUZgcSnR7GGIPREMGZ6ey93z/q08NU6pazK9WGcpGeOXcwD6OTgjxsN56cQzX8chXmrz2dIpXnxru9pCEEA8pkwg99Kb1SC7G68+P8v7lVSIhgy+/PLlHoxNC7JXp0RSffmqIT27mSUUDvNWu6P6womGTc/dZ3wshhNi5H3+0yJWZAkFT4z/5ytn7fmwyFuDf+8wU3/zTi/zv37nMp58eQlGkgq/ovs88PUK9abOcrzM+EOP50/7eXsDQODWR7vLohBC9Yidn8196eRznBx6lqsXpyRRTcpYvhDigtq+PXjo31O0hCSH2mKZp/PXPTfGdd2YBeP350S6P6OjSNZUTY6luD+NAkCQOIXZZodxktVAnYGoM90VRpVX9gRIO6nzuObkB95pXzg3zyrneCDzLlxqsFRsEAxpDWZkDhHgUjuMyt1LBsl1yqTDxSPcTJnLpMP/hl053exhCdNWXXjnYgaCNps3cSgVVVRjui2IaUjVDHF2hkMkvvH78ru9zXY+5lQpNyyGTDEo1PCEOmedPD3QCsnpFuWaxtF7D0FVG+qLSMUAcea8+NSwJmECx0mQlX8c0VIZzMTTZYxNCdIHrevzzf/sJAF957Vine8H9fPnVSf7g25e5Mlvkw2trklQnDgTT1PjKa1PdHsa+WMnXKVaaRMMGA5lIt4cjxKGzuFalUmsRj5rkUuE73h8KmfzSGye6MDIhxINsPhvIJkM7WtseZkdpfSSEuK0/HeG1p0dQFMil5XlBdJ8kcQixi2qNFpdn8nie/7breowPxrs7KCHEvqnWW1yeLUB7DvA8GO2PdXVMQvSi6wsl1osNwE+OPDedJSDB2EKI+3Bdjws31mnZLgCVekuCJIS4h5nlMktrNQDWyw3OHstIW3AhRNdYLYeLN/O4rv8g3Wq5TI8muzsoIUTXNZo2l27d3md3XE+6QgohuuKnHy9yY6FEOKjz1z87vaPPSUQDvPHCGH/8wxv8m+9dl/0JIfZRvtTg+nwRgPVSA0VR6E/fGWQuhHg0y/katxbLgH+N6ZpKOi4FYoToFXI2IIQ46jzP4+LNPM2WA/gFpp6c7uvyqMRRJ2XNhNhF9abdOVgCqDZa3RuMEGLf1Rp2J4EDZA4Q4lHVG3bn/13Xo9G07/PRQggBjut2EjhgY13u3eczhDi6Nt9n8fzrRQghuqVhOZ0EDpDnaCGEr25t22evy9wghOiO//N71wH40ssTxMI77xb8xZcnAPjxR4uUa9ZeDE0IcRe1bXscNXm+EGJX1RpyjQnRy2p1ORsQQhxtjut1EjgAGs2t5xNCdIMkcQixi2JhE127fVlJ1QEhjpZ41ETTlM7b6ZjMAUI8ilT8dutW01CJhKQCiBDi/gxdIxq+PVckowEURbnPZwhxdKU2PafqmvpQgUhCCLHbIkF9S9c92UsTQgBEQyaGLvvsQojuurVY4r3LK6gKfPmVyYf63GPDCSaH4tiOy1++N7dHIxRCbOfvCbbfUCAZC9z344UQDycVC0D7GlMU/5oTQvSOzWfwcjYghDiKts99iaiJqkpMgeguvdsDEOIwMQ2NJ6Yy5EsNAqZGSgK4hThSAobGE8cyFMpNQgGdhGxcCfFIRnIxwkEDq+WQSQS3JEgKIcS9nBxPs1aooygKmYSsw4W4l/50mICh0bBskrEA5qbgaSGE2G+apnLmWJq1YgPT0CRQWwgBgKGrPHEsw3qpQcDQtiShCiHEfvk33/e7cHzq7CC5dPihP//158f4H//1h3z7ZzMPnQQihHg0kZDBE8cylKoWkZAhwalC7LJENMCZiTSVeot4xCQclCJsQvSSgUyEoKnL2YAQ4kg7MZ5irVgHIJsIdXk0QkgShxD3VW/anWDsB1XqqNRblKsW0bDBQCayTyMUR9FasU7LdknHg0fqoWrjGouEDOKRg7vpGjR1BjJyexXicd0veKvWaFGsWISDt5OlKjWLcq1FNCwHM0IcRI2mTb7cJBjYu0RnTVUeKahCiPtxHJeVQh1VVcgmQl2vxrJxD9zJM+q9lGsW9aZNLGwQNGXdKsRBZTsuq+35py8ZeuQOU2vFOlbLJZM4uHsIhq7JXpoQm+zH2vlhdWM/0jRkbhBCdI/VcviLd2YB+CuPmIDxmWeG+R//9YdcvJlnrVgnI8EhQtzTxlojkwhi6I+31ggHjV0LLN/8XHYQ9oWE2E/VeotS1T+L01RlyxlcVM7hhOgZ28/Q/XOFg12M9KCdywghDh/P6/YIHt9uPkOJ7pLTeiHuodG0+ejaGq7rz9oTQ3FyqbsHhZVrFhdurEN7gj8xlpL2rGJP3FossbhWA2BxrcrZqeyRqFBfaV9jG4uo42PJA3OILYTYX7VGi4+urXXmg6mRBKah3b4PK3ByLCWdcIQ4QBqWzUfX13Ac/8IdG4hJMJboCZ7nceHGOrWGDUCx0uT4aKpr42k0bT6+vr6jZ9R7KVaaXLyV79wzT42nD3SCtBBHlet6XLi+Tr3pzz/lqsXUSPKhv87MUpmF1Srg7yGcmz4aewhC9LKDuHa+uVhi6QjuRwohjrYff7RItWHTlwpxbjr7SF8jHQ9ycjzFxZt5fvzRonTjEOIeNq81ltZqnJ3KoB2AtYbneXxygPaFhNhP1XqLj6/7Z3G1RgvH84iFTDmDE6LHlKoWn9zsrTN0z/P45Gaear0FQKHc5MSY3H+FELvn4s11KjV/jsmXG5waT3d5RA9v+37tuansgXiGEo9G/nJC3EOpanWCY8BfGN5LodzsJHAAFCr3/lghHkd+0+vQarmdjcPDrlBpbsmCvd/1KIQ43IoVa8t8kC83t96HPbkPC3HQlKutThAayDUqeodlb11vd3sN+jDPqPdSqGy9ZxblehTiQGq2nE4CBzz6vXPzPNGy3c7hpxDi4KrUDt7aubBtP3Lz/CSEEIfVt382A8Dnnht9rMq/L58dBOBH5xd2ZVxCHEaF0u21RrPlUDsga42Dti8kxH4qbjqbrzZsqu1ARzmDE6K3FCu9d4ZubdvD7IUxCyF6h+24nQQOgFJl69lrr9j8DGW13APzDCUejSRxCLFJpWaxuFbFtl3CIQM27cuGg/duXBMNbW3Jer+PFeJxRDa91lRVIWgejHZYpU3Xzl6IbLvGtr8thDg6tt9jI0Hjzjlil1ql34tl2SysVqg1rD39PkIcFpGQvmVdvdfXqDjc9nrduZmhqRj67W2TcJdfu+HgtmvpEdbE26+/g/bs2mjfYxuWbDaKo83UVfRN88+j3js3X+OqqhAMHKxrXuy9WsOfVy2ZV3vGHff7A7B23jyGR9mPXC3UWC3UdntYQgixZ/LlBu9cXAbgc8+NPNbXeumcn8TxwZVVKpJQK8Rd7eTscyVfY61Y389hHbh9ISH20+bXe8BQCZq39xN2+oxi2y6La1UpIiPELqg1rEfa37nbufpBt/3+2wtjFkL0Dk1VCJgapUqTUqVJKKA/VuGGbjmo8aPi0cjJnRBtNxdKfO/9OTwPElGTt16e5PhokvVig1BQZ/A+betT8SDHhhMUK02iYZNcKryPIxdHyeRgnICh0bJdcukwptH9m/D1+SI/+GAez4NkLMAXXprA1Hc3RzAVk2tMCOFLRANMjSQolJtEQgb96TCKojA5lKBUbRILm2SToT37/pWaxZ/86Ab1poOuq7zx/Ch9MicJcV/hoMGJ0RRrxTqhgM5g9t7raiHu58ZCke+/P7/lmW23152bqarC6Yk0C2tVVEVhqK+7r91o2OT4SJL10oOfUe8lmwzhuh7lmkUsYpJJ7N0982EVyg3+9Ce3sCwH09T4wotjJGPBbg9LiK7QNJVT4ykW12pomsJQNvpIX2diKIFpaFgth1w6TOAA7CGI/bNaqPHvfjqDbbuEAhpvvTRBNGx2e1jiAbavnQce4X6/2yaH4gTM2/uRhr7zueQHH8xzba4IwInxFC+eGdirYQohxK757rtzuK7HyfEUI7nYY32t4b4oo/0xZpbKvPPJEp955vGSQoQ4jB601vjuu7PcWiwDcOZYhmdP5vZlXAdtX0iI/ZSM3T6LGxuIoanqQ53B2bbLt35yy0++UuClJwaYHk3tw8iFOHwWVit8551ZHMcjHDL44ksTOy7OlEmEcF325Qx9t8j9VwixlxRFoVhpcuHmOgDhUG+Gzz/Ofq04eHrzVSjEHrhwY73TErJYsZhdKnNsOEFqh0Ej2WSoJxa8ordpmspo/+MdGuy2zddOodxkfqXMxGBi17+PXGNCiA2ZROiOoNO+VIi+1N7PEVfnitSbDuBvQl+4sS5JHELsQDIWIBkLdHsYosdduJ7f8sw2t1xmcmj3152bBQP6nn+Ph5GKB0nFHy+xIZcOk0sfvHvXpZkCluXfYy3L4eLNPJ86O9jlUQnRPeGgwbHhx5t/NFU5cHsIYv98cjPf6VxVbzpcmS3w9In9CXgTj+egrZ0fdT+yYdmdBA6AS7fyPH8qh6pKg3ghxMH2gw/mAfjMM8O78vWeO5VjZqnMe5dWJIlDiLu431qjUrM6CRwAF66v7VsSBxy8fSEh9tP2s7iHOYNbXKve7p7jwUfX1yWJQ4hH9MmNPI7jH4zU6i1uLBQ5M5nZ8efv1xn6bpL7rxBir1iWza3Fcice+Np8iRfPDG7pjN4LDmL8qHh0vfXqE2IPBba1Fdr+thDi7sxt2Zyb26kKIcRhEwpsneOCAZnzhBBiv2xvBSutYQ+X0Pa/r9xjhRDisWzvvBIyjXt8pBB7Q1dVNE3pvG1qmiRwCCEOvHypwYUbfkXOV84N7crXfKadRPnupRW8jcoEQogdMfWt6wnZCxKiNwQDso8rxG6581xE9s2FEOJRqXfZr+y1BA5x+MgrUIi2Tz3RT18qRDig88SxDMN90W4PaV+VahYzS2VqDbvbQxE95qWzA2ST/rVzbjrLQObx2hk2LJuZpTLFSnOXRiiEELtneiTB1HCCcEBnuC/K09PZbg/pDnMrFRbXqt0ehhCPpdJZm1rdHoo4QF44c/uZ7exUhsHs0Xpmu59ipcnMUpmG1bvPc6cnMowNxAgHdMYGYjzxENXEhDgKDsN1LvbXUydyDPdFCQd0jg0nOD4mFQyPktVCjZmlcqcbSzfousqnnxomFjaJRUxee2Z3gqGFEGIv/fDDBTwPTo6ldq0z+JljaXRNZbVQZ26lsitfU4he8bh7fKap8/K5QaJhg0TU5NNPSzcbIQ4y23aZXfK75zxzMkc4ZJBJhHhJuu0K8cieOZVjIBMhHNA5Ppp87M69+8W2XWaWyqwWat0eihBCdGzfr3z1admv7CY59/JJeqYQbeGgyVsvTXR7GF2xtF7j2z+7heN4mKbGW58aJxENdHtYokdEwyZffHliV75WrWHzb39wnVrTRlHgM8+MSPsvIcSBoqoqLz95cB/k/vztGeaW/cPg6dGkbIyLnrRaqPGtn7TXprrGF14aI9luaSqOtmj46D6z3c/cSoXvvjuL43gETI0vvTxBNGx2e1gPTddVPvOMBGMIcTczS2W+++4sngfhgM4XXxknHOy961zsL1NX+dzzo90ehuiCj66t8e7FZQBSsQBvvTTRtYpyo/0x2dsTQvSUH3wwD8ArT+7enlrQ1HniWJr3L6/y7sUVRnIyL4qjYa1Y51s/uYVtu+i6yudfHCOTePjkqInBBBODvRGwKsRRZtsu3/rJLdaKdQCeOp7lFz473eVRCdH7gqbOmy+OdXsYD8W2Xf7kRzfIl/3Crc+eynFGijYJIQ4I2a88GOZWKnzn7Rk8j54+394N0olDCMHlW3kcx2/hbFkO1+aKlGoW715c5uKNPK7bvYpt4uC5eCPPuxeXKdV2vzL2zcUitaafXel5cPFmfte/hxBCPArbdvn4+hrvXVo+sJ0Bag2rk8ABcHW20L3BiEPLdV0u3Fjbs7UAwOVbhdtrU9vhiryWhbivS+3nubVinZsLJT66ttrtIQkhdkGtYfPepWU+urbGhetreF7735s2NxfL3R2cEOJAuzxzez8tX26yUqixsFrh3YvLzCzJ/CGEEPdSqlqcv7oGwMvndreIy9MncgC8d2llV7+uEAfZlZlCpyuYbbtcnSt2eUQPZtsu56+u8v7llSNfDVaIe5ldKvPuxWUWVrd2l1orNToJHODv8wshjqalfK2TwAEyHxwklmVz/soK56+sYHWxe6sQ4vFsjtmo7FHMxl67dCvfOfdqWg7XF0rdHVAXdb0Txze+8Q2+/e1vMzc3xx/+4R9y4sSJu37c7//+7/NP/+k/xXVdXn75Zb7+9a+j6/7w//zP/5x//I//MY7jcOrUKX7zN3+TSCTC0tIS/8V/8V8wOzuLaZocO3aM3/iN3yCZTO7jTyjEwRcOGVveNjSFP/nhDZqWA0C+0pBK3gKAH3+4wOWZAgCXZwv81VePEQ7u3q0kHNj6WtzNry2EEI/jL9+f6yRIXJsv8dc+faxrlUzvRdd1NE3pBL8HTa3LIxKH0Y8/XOwcuF6ZLfCV144RNHf3fr19bRoOGvf4SCEEQCRkMLdcZq3kH4q8d2mVc9M5WUsL0cNs2+VPf3yDSq0FQK3R2nI/3P7sLIQQmwVNvTN/oECp0uSnnyxD+1Ds1aeGmBySatZCCLHdTz5awHU9JofiDGYju/q1nz7ex/8MfHRtFcf10FRlV7++EAfR9n2JUODg71N8++1bLK/7Qei3Fkv8lVcnUdWDdQ4gRDfdWCjyvff8rlUfXV/jjedHGcxGAQgFdVDoPHcEZW9SiCMrsn0+CMiZ9UHx7342w3qxAcDscpUvvTLR3QEJIR7JfsRs7LXwtufDyBGOCen6E+dbb73FN7/5TYaHh+/5MTMzM/yTf/JP+OY3v8m3vvUtVlZW+IM/+AMAqtUqX/va1/it3/otvvWtb9HX18dv//ZvA6BpGn//7/99/uRP/oQ//MM/ZGhoiP/uv/vv9uXnEqKXPDmVZWIwTixicmI8RTIW7CRwACyuVbs4OnGQLK7VOv9vWQ7rm6pp7IbxwThnpzLEIibDuSjPn8rt6tcXQohHtbR+e/6r1VsUq837fHR3mLrKZ54ZIRkLkE4E+cwzI90ekjiEFjZdC03LYa290bebnpjMcGw4QSxiMj2a5NR4ate/hxCHydMnchi6RsBUySaDRELGlqp3QojeU65ZtwOw8YOfhnNRYhGTJ45lGB+Md3F0QoiD7pWnhsilQySiJi89MUC53uoEToDfql4IIcSdfnh+Edj9LhwAk0NxQgGdasPm1uLRrS4pjpYnjmWYau/xTQ0neGIy3e0hPdBy/vZ+SrFiUWtINw4hNptf2RQ34sHspu7w8bDJS2cHSERN+lIhXn1y9++nQojekIwFefGMPx/k0iFelvngQLAsu5PAAbBWrEs3DiF61MLq7TVZ03LIl3Y/ZmOvPXOqn7GBGLGIyamJFMeGj27Roa6n37zwwgsP/Jg/+ZM/4fOf/zzZbBaAX/7lX+Z3fud3+Bt/42/w3e9+l7NnzzI1NQXAr/zKr/B3/s7f4dd//dfJZrOdzwF46qmn+F/+l//lscbreR61Wu3BHyhEj3n2xO3guErdwnXtTiXvsGnK614AkIoHKLfbcGmaQjIW2PXv8fSJXKe1uBBCHBTpeKBTgcs0NWKhg5kFPtwXZbgv2u1hiEMsFQtQq/tBpbqukoqZu/49dF3lFdnQFWLHTF3l+TP93FosA/46PbUH63QhxP6JhE0CptYpsNGXCvO550a7PCohRK+Ih02+8KmJzts3FopAvvN2JhHc/0EJIcQBZ7Uc3r+yAsBLZwd2/etrmsrpiTTvXFzmo2tr0hFJHAmqqvZc0GYqGiBf9gs4hQN6z1WzFWKvZeIhrrWrPgP0pUJb3j89kmJ6RIoyCSHgxFiKE2MyHxwkpqkTDRud4kGxsImpd73+uxDiEaQSQWrtZFpdV0lEdz9mY69tFKkVByCJYycWFhYYGrr9gD88PMz8/Pw937e0tITrultaWzqOwz//5/+cN99887HG0mq1uHDhwmN9DSF6wVDUZm6tScBQSahNLlwodHtI4gB46dwQ4eAyjabD8bEU0XDvLQKEEOJRfOaZET64sorVcnhiMoMphzfiiHr1qWE+uOyvBU6OpwgHZS0gxEHwiqzThThUTF3l8y+O8eG1NQxN5akTfd0ekhCih00MJrAdl8XVGplkkNMTmW4PSQghDpwPr67RtBwyiSATe9T17IljGd65uMyH19b4q58+tiffQwjxeD73/BgfXFnBdT2eOJZBl8BGIbY4OZHCxWWt0GAgE2ZiUJIShRCil7z5whjnr6wCcG46+4CPFkIcVK8+Ncz7l5ZpthxOjknMRq/rmegzRVE6/+953j3fdzee5/Ebv/EbxONx/ubf/JuPNQ7DMJienn6sryHEYWS1HHRNRVXvfz32uqOexGXqKs+f3lkVKtf1sB0X09D2eFRCCLH3gqbOi2d2vwrfYdSyXVTFrzAoDp+drgWOytpQiINCf4h1+nae59GyXblmhThgkrEgn35quNvD2Dct20FVVTSZh4TYE/tZEVeeBYQQveinFxYBeP50/wPPnR/VE8f8JLqPrq3hed6efR8hjoK9en4IB3VeOju4q19TiMPmUZPCW7aDpspzghBCdFM0bD5UpzSJ+xKHle24AOg9GtNi6iovSPzSodETSRyDg4PMzc113p6fn+903xgcHORHP/pR531zc3P09/dv6cLxjW98g4WFBX7rt35ry78/CkVRCIfDj/U1hDhMXNfj0kyeUsVC11ROjqeIhIxuD0t0WbXe4uKtPLbtEo+anBhNyYaMEEIcAXMrFeaWK6DA5GDijlba4vBzXI+LN9ep1FoYusqpiTShQE88dgpxJDmOyyc381TrLUxD5dR4mqBcs0KIfXZtrshqoY6qKhwfTZKIBro9JCHEI5BnASFEr/I8j59dWALguVP9e/Z9TowlMXSVQrnJ/GqV4b7onn0vIQ6zzc8P0yNJkjF5fhDiIPM8j8szBQrlJpqmcFK6CAshRE+oNVp8crMd9xUxOTEmcV/icFhYrTKzVAYFxgfi9KclFlx0V0+kEr311lt861vfYnV1Fc/z+L3f+z2+/OUvA/Daa69x/vx5rl69CsA3v/nNzvvAT+C4efMmv/Vbv4VpyoOAELstX25QqliAn6U4t1Lp8ojEQTC3UsG2/azVUsUiX250eURCCCH2Wst2/AQOAA9uLpa6OyDRFWvFOpVaC/C7sszL2lCIA22lUKda969Zq+WysFbt8oiEEEdNpWaxWqgDfqGQW0vlLo9ICPGotj8LyD6xEKJXzK9WWVyroWsKT5/o27PvY+gaJ8b8rkgfXl3bs+8jxGFWqbe2PD/MyPODEAdeodKkUG4C4Dges8vynCCEEL1gS9xX1WK9JHFfovc5m58hPLi1WMLzvO4OShx5XU/i+I3f+A0+85nPsLi4yK/+6q/y+c9/HoCvfe1r/Nmf/RkAo6Oj/IN/8A/45V/+Zd58800ymQy/+Iu/CEA0GuUb3/gGv/Zrv8bnP/95lpaW+Ht/7+8B8Pbbb/O7v/u7zM3N8Uu/9Ev8/M//PL/2a7/WnR9UiENK3dbuWbo/C7jzdbD9dSKEEOIwUmDTdC9z/9GksPXvLhVZhDjY7nyek2tWCLG/ts87soYUondtv37lehZC9Iqffux34Th7LLvnHYSeOJYB4OLN9T39PkIcVtu3GmW5IcTBJ/EkQgjRm7bv28r8LQ4Dha2vZTkXFQdB13tZf/3rX+frX//6Hf/+j/7RP9ry9le/+lW++tWv3vVrvPHGG7zxxht3/Ptzzz3HxYsXd2egQoi7SsYCZBJB1koNgqbGaC7W7SGJA2A0F6PetGlYDpl4UFoZCyHEEWDoKhMDcW4tlVEUmByOd3tIogsyiSCFSoN8uUkooDPcF+32kIQQ95FNhvxqeJUm4YDOcF+k20MSQhwxkZDBYDbC4loVXVMZH5Q1pBC9KpMIki/ffhYYycmzgBCiN7x9wU/ieO50/55/r5PjfieOT27m9/x7CXEYhYNbnx8m5PlBiAMvEQ3QlwqxUqgTMDRG+yWeRAghesFILkq9YVO3bNLxIOl4sNtDEuKxqarC5FCCGwslACaH4pLIIbqu60kcQojepigKUyNJpro9EHGgBAM6T07vXdtxIYQQB1MuHSaXDnd7GKKLVFXh+Giq28MQQuyQqiqcGJNrVgjRXaP9MQniEOIQUBR5FhBC9J560+bDa6sAvHBmH5I42s9fM0tlKvUW0ZCx599TiMNGnh+E6D2TQwkmhxLdHoYQQoiHEDR1zk1nuz0MIXZdNhkimwx1exhCdEgShxB38e7FZVYKNfrTEZ46LoHoQtzLR9fWmFspk4oFee5UDlVVuz0kIcRjuLlQ4uKtdcJBg+dP9xM0ZakohBCHTaVm8dMLSziOx7npLP2SeNVTXNfl/cur8rwqhHhstYbFTz9eomW7nJ7MSPcsIY6IWsPiZxeWsVqOXPtCCAGcv7qK7XgMZMIMZfe+M2EiGmAgE2ZxrcblW3meOZnb8+8pRK9bydd4//Iqmqbw7MkciWig20MS4siT61KI3vH+5RWW1qv0JcOy9hRCiEOi1rB555MlGpbNyfG0JLn3OInME2Kbj66t8dG1NQCW1+uEArpUJhXiLq7PF3n34jLgXyuGrvL0CXnoE6JXFcoNvvf+HJ4HUKfVcvnc86PdHpYQQohd9p13ZimUmwCsFuv8ws9NYUrSXs/46Pr6lufVSFBnWipeCyEewXffnWe1UAdgpVDn5z9zjHDQ7PKohBB7Ta59IYTY6v1LKwA8fSKHoij78j1PjqVZXKtxUZI4hHggy3b585/NYtkOAKWqxc9/ZqrLoxLiaLPluhSiZ1y8kef8Fb/r3PJ6nYCpcWYy0+VRCSGEeFw/+GCOxbUa4O/xfuXTx4iGZY+3V0mkhjiw8uUGNxdKAEwMJkjG9id7v1Rpbnm7uO3tw8zzPG4slMiXmoSDOlMjSQx9a2cFq+VwZbZAo+mQSQYZH4jf8XVmlsr89KNFHM/j+dP9ndaYrutxfb5IsWIRCflfX9ekc8NesFoOl2cKrBXqNCybXDp83+uoUrP47ntzXL6VJxUP8vpzo4w8IEtz+7Vx0K6VWqPF1bkiLdtlKBthILP3VbSE6GXlWqudwOEr1ay7ftxO7hWHUaXe4tpcAdvxGMlFyaVuV653XI9rcwXK1RaxiMGx4SSaujeHvp7ncW3u4e6lF26scf7qGqau8vK5Iam6f8i5rssPPlhgfqVKImby2tMjhIM6NxdKrBUbBAMax0eTGLp218+fX6mwuFbDNFSmR5IEA/v/yOi4HldnC1RqLeIRk2PDCdQdXFPrJf/5QVUUJobiUv3rHsqb5nfbdqk1bUni6AG243JltsD7l1bIlxskowEURSHfTsjJlxp897051gp1YhGTwUwEVVWIhAyODSeI3WXjrmU7XJkpUm/apBNBJgbvfLYTQuwf23G5OlugWrdJRE1iYZO5lQqqqjA1nNj1DfjN9wPH8ajW7R0Fcn94ZZU/f2cGgJ97doQnp3urI5Dr+uvpUtUiGjaYGtm7tbsQe61Ss7g6V8R1PUZyMfpSoc775lYq/PijRRzH5anjfaiqQqlicX2+SCRooKoKhVKTH324SC4V7tra/yCqNVpcnS3ScmRPUYij4L3L7SSOfexyeHI8xV+8O8vFm/l9+55C7JblfI3Z5Qq6pnBsOEk0ZHTet3F2sFqoc2W2AB5kkkE++8zII+89NSy7EygO/vpnu5uLJdYK/r7n9EgS07j7vuejWCvWubVYRlUVJocSxCMSGCWOnu3P0QPp8AOvywdZydf4y/fmuDpXIGQaTI8m+cwz/lnGQbD52r/X3qoQvaBY2xrDs1Zs8NG1NZqWQ18qdEfl9vvd5x/W+5dXuHgrT8DQ+PRTQ2QSoQd/0i4oVf29D9f1GBuI7dv3fRz7GWsghPDPVG8u+jHJk0OJnowpuDZX5J2Ly+39yzCffXak55I4WrZ/JlZr2KTiASYG4/tWXOOgOfwRd6Inua7H1dkiVsvFavnBKt7myNI9NDEUZ2M+0DTlSAWyrJcarOTr2I5LqWoxt1K542NuLZWp1FrYjsvSWq1TxXez738wT61p07QcfvDBPJbtArBaqLNWbGA7LsWKxcJqdc9/pqPq1mKZSs1iZrnCcr5Ovty873V04Uaej66u0rAcFtaqfO/9uQd+j/GBOJrWvlgUP9nqILk+X6LesLFtl1uLZepNu9tDEuJA60+FCG/aiLnX/W8n94rD6Go7gdG2XW4slLBatzeol9ar5EtNbMclX2qytL5397eV/MPdSys1i7c/WcayHCq1Fj88P79nYxMHw5XZov8atR1W8nXev7RMvtRgab2G7bhUai1mlu5+3VbrLWaXK9iOS61hc6OdUL3fFteqFMr+NbVearCcrz3wczYSP1q2S7PlcHW2uA8j7U2bk7DTiaAcPveIuZUKpYpFJhGk3rSpN+0tz6s/+nCRfKnJStEPlPj4xhqzyxWalsPV2cJdv+bscoVyzcJ2XJbXa6yXGvv4EwkhtptfqVCs+Nfk0nqN96+s+Pc1y+Hq3O7f18Y2HdLGIiapWPCBn+M4Dn/y4xvUGja1hs2f/vgmluU88PMOkuW8P9/Zjkuh3GRxTfamRO+6OlekaTm0bJfrC0VamwKpvv/BPLV6i6bl8Odvz7C45q/zYxGTSr2FZTvYjks4oPtr/8XurP0PouvzJerN23uKDdlTFOLQ2gjQVBQ4N53dt+97ctzvpnjxZn7fzj6F2A1Wy+HGQgnbdmk0Ha7NFba8f+Ps4OZCiVuLZVaLdZbX67zXrgD+KKJBfUvw5fZg00K5ydLa7X3PW0vlR/5e29mOy7V2sbj77a8IcdgtrW99jq7UW2ST974ud+IHHywwu1xhJd9gZrnM3HKZ9y4t7+awH9n2a//KTKHbQxLikY0P3I5/UxTQNYVq3Y/3WlitbinU+qD7/MNYLdQ4f2UVy3IoVy1+/NHiY/4kO3d1ttDZK7k2V8R23H373o9qaW3/Yg2EOOpc1+Pq3NaY5F50da5Iw3JwHI+FldojJdV229xKhVLVPxPbiIM6qg5GGrMQ23j4k+YG1/XwPNiPZKvBbJQvvjzBar5BLh0iFX/wIfZhYTvetrfvXMw62/7Ncbe+7bruls/zPP/fQMXe9rG9sFjuVbbr4nl0DgAcx73vddSybTqXnAdN+8FBGKl4kC+/Msniao10IkBf6mBVdt/+2tz+2hVCbGWaOl98aYKZxTKRkH7Pbjw7uVccRs6mdQne1redbb+T7W/vpoe9l7Zs119YbX5bHGrN1tZ7uB+ctbPrdvu/d+v6fpRxbKxzNjiui+d5R7Zaw/288uQQg9kIjuMyNphAVaW2Qy/YeD7OJEI8ezJHOGBwejLdeV61bAfP8+d8zwPH9jqfs30O2HBQrnkhhM/Ztg+2eU25F+vLT50dZCATodlymBiIoe+gu57j3LkO7q0UDpn7xOGyZW7w/LcNfeN9t1/bruPhOoAOJ0ZTOI5LwNRoNJ3OWnAvn2N7zR3zhCu/GyEOq/cv+4HlU8P7W11/ciiBoauUaxYLa1WGstF9+95CPA7H9bbsNW/fb9hYT2zcOzf26qzWoz81qKrK518c48ZCEU1TGR/Yem6xl2eBd+43yppAHE13e45+84V7X5c7sZFUDu29TPfOs41ukWtfHCb96TBffmWS5fU62VSQlUKdUmVTd97N+3zb7vOPs0+w/Ty61dq//bfNP5Mfr+bB7jXp2hPb5xnZoxFi73ietyUm2XH9t9Ue634TDRs0LBPX9fx93h4rtgV3Prsd5bMaidYQB5KmKgxmb7cpH85F93WyzCRCnJxIHakEDoBMIkgo4J/0aZrC4F1axQ/13f5bREIGyW2VGlVV5YnJTOftE+Mpgu0WuX3JEAHTXx3ruiqt6PfQUDaKrquk40ECpkYkbN73OpoaSTHY5/89wkGdp4/ndvR9EtEAJydSBy6BA2C4L9pJWEnGAkQeo9WjEEdFOKhzciJ1zwQO2Nm94jAayUWhPadkk6HO7wAglw5jGv6y2jRUcum9mxMf9l6aigcZ7W8fBCtwdipz348Xve/4aLLT2tvUNZ44liEdD3TakGuawlD27q+beMQkHvU/V1H8e2k39KfCGO1A0oChkdvBOsPQVfoztz9uOBeVBI77mBxKMD2awtxBwK44GPrTYXTN/3vl0mFeeGJgy/Pqk9NZTEMjFNDJxIMM9YXJJPz3j+Tufi0PZqOdznqhoP95Qoju6U+HO4kUsYjJ1Ei726Vy7+v4cY0PxjkxlsI0d1bnxzQ1nj5xe7/gyeksIfOAn4Juk0uFCRj+mA1dpX8P1+5C7LXtz6nBTc+pZ4/dfvY7O5UhEQ0A/nPkMydzPHMyRzrp3/sVBYb6jsaz/U6M5G7vKabiAaKypyjEofX+5RWALeub/WDoKlPD/lrv4s38vn5vIR5HKKB39hru9pySTgQJBXWGshFCAZ1o2MA0tS3nxo9C11WmR1NMDt1ZjCQZC3bO/1RVYWgX9zNNQ9uy179Xz2VCHHSbz8AM3T8Du991uRNPTvWRSQQJGGrnXGLzM0w3ybUvDptUPMjJiRSZRIih7O2YoWjYINneK4A77/PDj/Ha70+HGWif2e1317vN16w/fx38vctc+va56F7HGghx1GmauiUmeaRvf2OSd8unnxoiZOqEAgajuTinJ1LdHtJDG8xGbp9TB/Qtnd6OGsWTPq07dv78eQDOnTvX5ZEcHQ3Lb1Ue3OFhsnh8ruvRsGxMQ+sECW1nOy5WyyFo6ve8kRUrTTzPuyPJw3E9mpZNwNDQ7vH1D7K3334b0zR7Yh5o2S4t20EBFFV54HVktRzWS3XCIZN4eP+qTu2lVrv6+OZgayEeVy/NA3tlJ/eKw8hqOTju3eeUzv3N1NH2+CHvUe6l+VIDQ1eJHpL5/SA4yHOBbbsUq00iIaNz/9/pdet5HvWmjaGrGHr3NjYdx6XZch76mmo0bRRV6QRnCrGX9nse2Lgu7vUcVmtY1JsOQVPD0DVc13vg9bCTZzshxL3t9jyw/f5Xb9poqnLgDhuX12u4nstApjcDGXp9b0ocPN18Nrjfc2qpZuE6LslY8K6v+4Oy9j+I7vd7FeJuDvIegbg7z/P4j//hn7JeavCNv/sKT53o29fv/zv/6kP+1Xev8ldeneTv/cKT+/q9xd44SvPA/Z5TNvYgURTqjRaxkLHjpPFHtdfnFbLfKB7GYZ0L9uI5ulKzqDdsVE3ZcpZxUMi1Lx7VQZ8HNuKI7nUmsFv7ka7rki83CQU0wsH9PZ9uthw819tS7OKg289YA7H3Dvo8IPz7PEpvxySvFqqUay0mh5LdHsojO+zn1DvNN+jdV6E4Enp5ouxVqqoQDt6/upiuqQ/cBEtsytjeTNvB1xe7wz+A3fkmimloPRuAcS+GrmHINCLErtvJveIwut9m1X7e3x7lex217mJHna6rZBJbKxXs9LpVlINxfWuaSvgRDoN6aUNWiIf1oOsiHDQJP+R0v5NnOyHE/tl+nR/U4OFerwYne1PiMLnfc+rmIi13e90flLX/QXTQkueEELtvdrnCeqmBqaucnkzv+/c/OeZXybx4SzpxiN5zv+eUzXuQ4X16ntnr8wrZbxRib56jo2HzQBcek2tfHFYPiiParf1IVb3zrHK/9GLylexXCrG/DsN9PpuMkE12exSPR86pffIbEEIIIYQQQgghhBBCCCGEEEIIcSS8e2kZgDOTma4kbk2PJgG4MV+iZbv7/v2FEEIIIYQQQgghRPf1fkqROHQK5SaL61V0TWV8ILbnrdybLYeZxTK26zKUjRKP3M72X16vsV5qEArojPTH9r1lmeO43Foq07QcsskQ2f8/e38aI9ea5veBv7PGvue+MckkeUle3q269upV1epWSbJlzWhaas2XEUbWQBBGX+RvDbhgoQ1IkGHA3wzYxgCjgWSNJYwtWW61Wt2tXqr6VnfVvXVX7mQy98zYI06cfZkPJ/JkRG7MjcxM8vyAQjFuRsR5I+K87/u8z/J/iqerUu7qNqtVDc8LHcKyJDI9mr3QCgcxZ49puSxtdgmCgJmxHJnUTjV3s2uy2dBRJJG5ifyxOnmchsPm4Ta+H7C81cUwXYq5BBOVzCsZ24s46jxdr/VoaxaZlMLMWBZBeP3agMW8ntRaBrWWQUKVmBvPDbVJHlxPXvf9pKPb/OTLTWzX4+7CCNOj+3cu6hkOK1tdBEFgdjz3ytWTNcNhtX/9ufHca6EgELM/bc1ivd6j2THJplSKucQL9xfPD1je7NLuWpiOSzGb2GMLvAjH9Xi+0cX1fCbKGYq5/buvvQzWqhqdnh3vpTExBxAEAStbGj3DIZ9VmRrJRjZ0o6Xz2dMGQQC35kt84+3J6HW+H7Cy1UW/YHZ2TMybxuAcLmQTTI6cbC42OiZbDR1VkZgcybBW1XBcn/FyOu7O9gJ2r6P5tMpqVUMUBaZHs1RbxoXzScRcTrZteVkUmZvInWny8LbNb1oulUKK0dL5qF7ux362ykF0ejZrNQ1ZFJmdyF0aFc1Bn8DMWJZ62zz1uh4TE/Ny+ORhDYD3bo6ey/UnKmkyKYWe4fB8o8P1meK5jCMm5jJxkH1QbRrU2/0YxkR+33i+37eRDMulnE++sLugbjqsbGkAzIxlT6WMvfva5UKSpY0utuMxVk5Tjs9pMReU3bFtw3JZ3uyy1TTIpRXGSmmm9omVnXWOy3FwPf+Vzq/B68V+l5iLynZsLZtWmCinWd7SzmR+Oq7P0kbntfI77v5MCVU6M3tgN/W2QbW5fw5GTMxFptkJ8wpVRWJ2PPfK8grPkuXNDn/w0QoAv/gzs8yM5c55RMdHN21+9MUmtuNx60qZK5P58x5SzCmIs7piLhSW4/FouUkQhI89z+etKy+3jfHj5RY9wwFA05u8f3MUWRLp9GwW1ztA6BQSBJibeLUL3tJml2rTiMaQVKUTJ8h6ns/DpSaeF7C40UEArkzk0Ywm798YjQ3CN4gHS00s2wOgZ4T3vCgKmLbL4+XWzvzzA272W3q/bA6ah4Os1TQ26zqwPR/kV5o4ehB75mlCJrsrGbbRMVne7EbPkSTh0EB1TMxFQTMcnq62wwe98P+uThWivz9abmFYbv+5Td6/OfbKCx5fFX/00QrNrgXAH368wl/9xesk1WFT2vcDHiw1cfvqeYbl8t6NVxcI9v2Ah8+buP1iTdN2eff6+QSiY14ujuvzaLlFq2uyUddJJeTISXJYQuHKVpeths6ztTaO6zMzlqVnunxwc/TIBRHP1jq0+nOh27N598boK0moqjaNyFHa6dkv/KwxMW8iG3Wd9Vq4YXd6NglFQjddNus6P/h0lfWaTj6jUG3qjBRSLPSThDbqPTYG7OyEIr0WAZeYmMvGeq03PIdV6djJBobl8nilBf1z/eJ6m2wq9CN1dZt3FkbiIt9D2GzsrKOtroVhu2T6wdmlzS65/nd5kXwSMZcPx/V4tNzC94P+Y5/bV8/O/72yGdr8sO2nkshdEMGF/WyVSmFvwojb92Nvf0eW4/H2tcorHetJ8P2ABwNn8pWtbrQGd3o2qiLu+3ljYmJePa7n89mTsIjj/XMq4hAEgRszRX76qMqTlVZcxBET8wIcd9g+sF2PO1craLrNs7WdGIYgCMzvk8C0WtXYHLCREqpEIbu/PR8E4Z6+3SVHNx3evzl24rHvvvZarYfthHHaTv+c9qrFoGJiXsTu2LYowlbDYKupU20ayJKI7fioirQnCfwosfOXxeJah0bHDK/9CubX7uu9G/tdYi4YW019KLa2UdejvfS083NxvU2z048XviZ+x2dr7Z0YqG7j+0EUP+0ZDh+8dXJ7YJCe4fBk5eAcjJiYi4ppuTwaiD94vs+N2VeTV3hWeJ7Hv/r9x1He5P/vPz7m//lrH5zzqI7PH3+yxlYjtLdqrVVKhST5C+IDjjk+cdZ2zIXCdrwogRzA7C+YLxPTdqN/+34QOWQG//urGsturF3XtJyTj8FxfTyvHxx0fBwn/JyeF+D6wWEvjXmNCIJg6D5yPR/PD+8Fyx6ef7vvv5fJ4LUG5+EgpjU8nt1z9LzYM0/3Gdfusb7K7zYm5jTsvp9337uD97bnBVGiwutIzxj+rNuFZ4N4fhAVcEC4bwfBq9tjXc8f+g3Ow3aJeTU4rje0X9pu+FtvF1UdRLjXD77Ox3V9vGPYgoPXCAKigOPLJt5LY2JezH5n2O15vz13fT/cr5pdM3re7rUj3j9iYs6H3XPvJGdey/aiAAqApu/YrEFwOr/Sm8Dgeuj5PubA4932/0XxScRcPhzXjxIm4OzvpYtsNx/V3777O7pIn+EwPH/4TK4ZzpBP4LJ8jpiYN4HHK6EwTTalcO0ck6WuzxaBUCgnJibmcLb9odts2xFHPUcdx0baHae0neP5T3ez2+/S1a2dB6/QvxoTcxzMXfetYbk4ro/dnxuuF9rs+825o8TOXxZD4wlevg1u7L5ePJ9jLhi750BXt3f9/eTzc3APfl38joPfl+sHQ3t4mHN3NrkQe/wj1uX/7mLeDCxnOP5wGeOJRj92uo1uutiX8HNoxnDORm/X+h5zuYiLOGIuFOmkQiq5U5k7+gpaKw4qA2TTCkk1VBIuZhPI2y2fBF5pm8fBsXm+j+14yJJAPnOyirkgCAiCgHT/u81nVfLZ8L3yGRX1grS2clwvDoKfENcLkwtelCwsCAIjA4pvhayKIof3fDatDilRHOWe9/sHl5M4L4MgwLRcXM9npLijLjo4DwepFJPQFwmXJOHCKF4Ofk+KLO47T0u5JJIUDl4QiFsjx1wa8hl1qP3h7nVh8PFF2k9eBlcmd1oolnIJSvusQYosDq1NlXzySN0NjrqGvwhVkShkVZx+Yv7IGSh8Ruv8a1ygc5GwHe9AJ6fZD5IAJFWZTEohm1IQBIF8JoEgsEfVdfe9VSkkEUSBXFpFkgQySYViLrGn+9VhDNrnqaR8pq2DD6NSSCKKA3tpId5LY95sgiCg27PoGTtOuUohxfa2I4oCpVyCSjGc99td4GRJIJOSWZguRq8bKe68TpKEffe4mJiYl0+lkNw1F5OYtovjHj2AkE0rqIqI7Xh4vs/81I4CbTIhvTLly/PitH6lwXVUVSQmR3a6fl2ZyEc+CVkSL4xPIubysW3LB0GA7Xhnvu8e5Kc6jQ/vrNjPVtmPsBv1zndUzF0OFTlFDs/k21yZyEdnGFEU4k5nMTEXiM+f1AF4+1olmqfnwXb3jccrrXMbQ8zlZ9Bn+LqTGIgdjvR9g2Gcc8e3eVBuwUghhe+HQneiKFA4xAaTJJFSfufv5XzyVB3IR4upobPElYmdc1pCff3PaTEXj6PEpEr54dj2aDFNKZ8gl1ZAgFxaRZbFfWPeL4qdb+cIvIy40+C1E6oUjneAs455Da45b4LfJeZ0nFU8eD8sx9u3KLCcH46tXRvwFaqKSD5zcp/E63j/D64hmaTMxIBvsJRPIO2Kp57U15LPJFCVnfeqFGN/wZvCRfDPnYZsSiGZ2LHJX0Ve71mTTalMj2ajx1cm86j75ChedK5O5nHccF/JZVQqxfR5DynmFFzuPlYxrx2SKHBnvkxLs5Al8cA2pmfJlYk8xWwC1/Mp5XaSLVVF4u61Cl3djoJrr5qEKuH1FQzyWRVJPH5yrO8HPFxq0unZCAKMlVLcnAtbWflBQDGbOFKC6ctmq6GzuNGBAMbK6X1b3cbsT1uzeLTcwvcDClmVm3OlQ3/Ta9MFSvkEQRAWK20jiQK3r5ZpaxaKLL2waMj1fO49a2BYLrIscnu+fOR2pEEQ3pdtzUYUBW7MFinsMw8HKeWS3L1WwbBccmkVVbkYRtRIMUUyIWPZbj/hfe+4UgmZuwsjaLpNKvHqEl5jYk6LIkvcXaj024vvbad6dapAKZe8UPvJy+IbdyeZGs1iOS5zEwXEA/bkG7NFml0LQRheYw9icA3PZ1VuzpZOFTxOqjKm7SIIRMWbJ8XzfO4tNtBNF1kSeetK6VzsoTeFjXqPpc0uBDBRSTM3EMx7tNyk2Qnvq+szRUr5JLfmy7S6JjevlJAlMSyGHtiHOz2bh0vN8N7KhPZBpZAiqcpcm8rj+3sLj47C1GiWbFrFcT2K2cSpApjHIZ1UuHutQs909nzWmJg3Dd8P+PDzdZ6uthEEgfdvjvD2tRHyGZW3+/ZyJqWQVEO789aVUt9WVXBcn5/7YHooibCQTUSvy6ZVEhfEzo6JedPYPRfXqhrVpgECzE/mGSu92AkviQKqImHaBqoqcWUijyAIOK5HIbs30Pg6UW0aPFtvQwCjpRRXT6Cqnc+o3F0YQTcdMikFVZZoaRaiEApJ6KZz4XwSMZcPURS4OVfio/ubOJ5PrW1SyifPzA9eKaRIqMN+Ksf1+PJZA8v2UPo+vOQ52NP72Sr7IQgCb82V+En/O2p0LCoF65XECk7LjdkSLW3HJ2BY7gs/b0xMzKvn8yc1AO4ujJzrOLY7cTxf7+C43r6xhZiYw3i83KLRMREEWJgpvrYCYs83OmzW9SgOMTmSieyCF8UwtlEVCT8IsGyPbEpBfoFP8/pMkVY37Jhx2gLuUj7J21crmPbOWaKUT2I7r/85LebisTsm9dYBeQWphMzb1yr0DCeKbeczKiOFFG/NlVBkkWxa3dfGPSx27vkB9xcb9AwHSQrt/mz67Iq2JyoZMill3/nl9mNeRj/mdWu+dOqY/WHXi4kZpNW1eLwSzr1iLsGN2eKZxdWXNjps1HUA5iZyTFR2Cg8yqZ3YWiapkEzIVIrp/vxMDBVCHpfX8f6fHAk/U+RLFYUD7QHH9bm3WMe0vGPnSymyyNvXRuj0LBKKdKbrYMzFZfCeOU//3GmQJJE7Vyu0NQtVkchd0nv313/lJp8/DcUd7l6rnPNoTkYhmwhFwDyfVEJ+rQV33wQu10oQ80YgSeIeFeGXzUEBIFWRXvlYBlmraqiyhCpLmJZHs2seezztnkWnF6qzBgEYlsf81MULeC1vdaOWW1sNncmRTJw8dERWtrSohXBbs+n07BcGNUu5/R258jHmX61lRO0DXddno947cpJEp2fT1sL70vcDVrY03j6CYZROKheyACLbV0M/jIQikTjH9SQm5qQo8uF74ZukQDs7nnvhcwRBOFawbLW6s4Z3+mv4Sb9Tx/XZbOjRYXl5szvkqDsu9Y6JbvbXec9nvdaLgssxZ8/KlhbZQhv10BZSZAlNt2l2QgdhEITPK/XV3w6bm2uD91bPpq1ZlPJJMinl1MU4J+0Od1qSCfnSObNiYl4GLc3i+XoHCIujHzxvsjBdJNkPqO62lw3LI6HIzIyFxWGGuVeR66La2TExbxrbc9G03bCAAyCAlU3tSEUcnZ6NpjuRit5Rz9qvAysDfqVq02CikjlR0WcqIQ+9btC2j9fKmLNCM2wEIeyM5/sBa9XemRYo7PZTVZsGlh3u/9vnxivnJKBz1HmkGQ6w8x2tbGmXoohDFIV43YiJueB4fsCXzxoA3F04XztprJQil1bp6jaL6x1uzJbOdTwxlwvNcGh0TGDbZ9h9LYs4HNdjs5+YKgoCmuHssQleFMMAWK/1kKWwI4Dj+tQ75qFnLEE42y5au32ylzXhLebyszsm1dYOjkklVXmoSOM48+Kg2Hmra9IzHAA8L2Ct1uPm3NnOh4PmV71tYuyKeS30u2K9jOvFxAwyOPdaXetIOT1HwXH9qIAD9o8N746tHSW35ai8jvf/7hjoQeterWVgWqGv5bj5UhAWcpxnPmLMq2fwnnFcn/Vj3jMXhePkFV5UJEnivRtj5z2MU/Hp42q0Bm81dDYbOuPluBvHZSUuwYmJucDsVuI+SSeO3a/Zbnt50RhScRbgHDtYXzp2/6avqv337usc57p77u0Lel/GxMTEvGx2dzE4zXooCmEr3J33Pp2pf5Zji3kxg3ujIBAp8Jx0vz3NPh0TE3OxkURhaE6Lux7v9/yhx6+BIlZMzOuOJAog7Hp81NcNPn6D7Ddxl1/pVXULi4k5Ca/aX3sZzwax7zAmJuZl8Wy1HXbIScrnnjAjCGGXcgg7KsTEHIfd2/lpfcEXFUEQhnzeJ7VjdtsS8Xkh5k3lvO1sUTi/s0nsI405T17W/XfWseGYo7PnN41ti5gXsDcHNL5nYk6OvGsfkWPf6aUm3r1jYvah3jZ4vtGh2TVf6XVtx2N5s8vKVhfX85mbyJNJKYiiwHglPaSCYFouSxudIZXl/chnVCZHMkiSQCopM3cEFfH9MGyP//Cnz/nf//gpG3XtRO9xGNemi6iKiCyJzE/m47bRL8C0d37/mbEcqaSMJAlMjmReWO3uej4rW12WN7s47l4V3oP49HGVf/NHT/jJ/Q0ARospyoUkoiiQz6hMjWSP9D6u59PWLAQhVA5OJWWuTJyP+l9MTMzrh+OGe+nyZriXvgyWN7t8+Pk6D5ea0X97ttbmw8/XebbW3vP87TV7tarh7dqzr0zkj7WGH4YkiVybLiBLIoossjBzukB0OZ9ktJRCFAWyaYWZsaOt8zEnY2G6ENlCV6cK0cE7nVTIZRQeLTdZqXaZ3fU7NLsmT9Za/PEnq3z4+Tq1lh7ts7bjIUkCE5X0pVCtjYmJORrVlo4ggm46pJMyC9MFPn64xWePazju8N7X6lr0DBtZEhFFgVxaZXp073pea4Vn4LZmvaqPERMTw47tuu0H2vZH6abL1GiWRsegq9tcmTyaLyebVinmEtTbYefM3T6gjXqPDz9f54t+q/DXiYXpAglFQpIErkzkUePurjEXmG1/rWm7rNV7tLvmvn7oIAjYqPd4vtHpd6YIaXZMnm90qDZ0PnqwxY8+X6ej2wdeb6yUppRPhD68bHjti04uPezTjn2HMTExZ8XnT2sA3L5auRBJM9v+u0dxEUfMMUknFWbGs0iSQDIhcXXqbPfKwVii7Rw9lngUfN/ni6d1Pvx8nY16L+xMVtN4ttbm6WqbpY0Oph2q5Q/6SlVFZGH6ZD7vmbEs2XQYcx8tpS5F15LBvAHvJcU6Yl5/BnNKqi2dakNnraaBEJw6JgXH8yn6foBhu7i+j+v5ZFLKiXNXALaaOs83OnQPOQsNUikkGSmmDvWRxsS8LK5M5kklwnjw1GjmzDphSJLIeCXFk5UWi2ttpseOd973PJ/Vqnbk/X7bd9nqnj6OsD2HO72jzeGDOMh38rIZ2Z0vFa8pMS9gtBjaoPE9c/60NYPf+uEzfuuHz9CM061B58VXbo2yVuvyZKXF5Ej60ndHedM5fk/5mJjXnHrb4MlKmIC5Wde5OVc6sIXkWRIEAfefN6LWWZ2ezZ2rFd6+treds+v5fLnYwO0n6OiWy/VDWj3OjueYPcUBGOB/+4+Peb7RAeDJSou/81fukkqdXWu8fEbl/ZuXu1XVq8LzA+4vNrCd8PcvGg7vLIwc+fUPl5poenh4aXZN3lkYidS+D+LzxzV+64eLAFGr8Z+5NXHofXcQj5db0UEsmZB5+2rlUigAxsTEXA7uLzYxrDDA0+nZ++6jp2G9pvEHH69AvxbD832SqswPPlkDdlTztpX8dq/ZPcPh5lwper9kQj7WGv4iKoXUmR3QBEHg6lTh3FUJ3xQK2cS+tpBuunz2qE4QgG64/PRRlZ//YAaAtmbxaKnF/ecN1ms9SrkED5eazE/mSaoyqiIxM5aLW2fGxLxGPF5u8uHnYVF1Oqnw1pUyXz6rY9nb50iL77w3DYRrxGDB4bXpAiPFvXvEVlNncS086202dG7Pl1/LNugxMReNIAi4t7jjB3q+3okELdZqPQLfp5wP5+xW06CYe3GSke14dHp2ZA9WWwZXJsKgcLNj8rt/tkTQt2Mtx+Mrb70+fphsWuW9m6PnPYyYmCNTzCWwXR+tZ/OgZ9Ps2nzj7sRQ8fXKlsZ6rQdAtWlw91oFw3KjRN+fPtxCEARSCZmVrS7/yc9fR5X36naJosCN2dKe/37ROQufdkxMTMxuPn8SFrO+s3C2PsOTst2JYzsuGRNzHKZGskcWWDsuj5ZaUWJ0oxPGEs8qlvfRgy3uL4b+iicrLd6+WsF2fdaqGoblcmUyT71t8u6NUSRRYKSY2tefcRwUWeLO1Ysx74+C74fnxW1/j6Y73Jovn/OoYi4bgzkllu3w2ZMG+Uzo87Md/9S29lZDZ3H96D7F5xsdqk0DWQzFrG7OlVD2Ob8chbWaxsqmFo3j7WsV0snDk+IFQeDadIFrJywGi4k5DamEzDvXzy4evI3v+/z4XhXPD/D8gI/uV/net49eyPFopUVH6+/3bZN3rh+839daBk9Xd3Lp3rpSOrGA3Ea9x9JGN3yvhs7bVytkTljYsp/vJJl4+emwoiicKF8q5s1FFAWu989/MefLP/vth1He4sqWxn/+n71zziM6Pj/4ZJ0gEEgmZD57VOdrtyfJZ+PY7mUl7sQRE7OL7eT2bY5auX9aXM+PAvfb4wiC/TtsmLYXFXAAdE9ZmXwUNhq9oetvtYyXfs2Y/bFsN0oGhuPdo0EQDN3jpuXtUevdj+Wt7vDjzZN3YxlUBrRsDydWj4mJiTkjXM+PCjggLJg4rFvVSdhs6FEBB4TO4a2Gvvc5fU6zZsfEQFhwaQ90zqq1dxR6t++ndl/xxnI8dNMZsg3jey4m5vViqzl8Dnu+3o4C+gD1thl1fdqtOnXQejB0ngzidSMm5lWx2w9Ub5uRH8h1fdrazhw+qiJdzxy2fwfnd7VlEOyyY2NiYs4PTXcwzJ3zq245e+b64J7s+wE90xn6bx3dweorZRqWRy/ew2NiYmIOxfeDqCPZ3TMUVTkN12fCIrvnG51oTY+JuQh0jeFY3ll2va61dvybQRAmY0MoWuj5AbYbxi4t2z3oLV57bNcb8vfEvpqYkzCYU9LVXXRzx89Qb+3tBHhchu7LYG+ezW4Gzzu743nHZfBawRGuHRPzuqKbLvpAHKDeOV4e16Dv0HK8oXjknufu2otO0/WisysmcZr32s93EhMTE3MQmmEPrUGNjoltX76z+GZ9J4/Xcj22mr1Dnh1z0YmLOGJidpHLDFel5TOvpkpNlkRSA9XAubR6YHeElCoNqRK8ijFOVHaqtZOqxNgpFU9iTk5ClUkoUvT4OL+/IAhDChiphHwkhYsrk8NtmK9MnLwt8+B4kwlpX4XAmJiYmJMgSyKp5M5eut0e/SyZqGRg4C0nytmhPTJ8zk7Xg9Os2TExELb4VtWde2istGOD5dIqCFDod41LKBLppEpuQGUhvudiYl4vdu8516aLJAbWiJFiCqm/922vEdsctB7kMwNqWQLk4y4cMTGvhN2262gpHfmBVFmkeIL9PJNUkKSdiT/4urFSauhvcaeumJjzJZdWSKd21oB0Utkz1wcfi6JAJqUM7duFjBrZAemETCbew2NiYmIO5flGB81wSKrShVHhHikmKWYTeH7A4lrcjSPm4rA7lndStfz9GDyLSJLATL8bQDopI0kCCUUK/6e+fBXti4oqSyQTcVwh5nQM5pTk0jLZ1LCP4LQM5dUI4RnnMAbvY1kezo05LoPvJQhhPDAm5k0knZSH8n9GCseb24NzKaFKqLJ0pOeGc/7ke9PuOfyi9eOo77XtO4mJiYk5iGxKHeoiNFJMDeViXBYGOzImVImJkaN3YYq5eLy5J9+YN55q0+D5Rgex3zYxqUo8Wm5h2i7JhEQplySfUY/d/u35eoetpk5SlbkxWzxymzZBELg1X2az0UMUhEOD6ZIk4rgeH93fIgCuzxRpaRbzk3kqfaPcdX3+40fLbDZ0yvkUv/TVGZKncHb9n37hOn/86RqablMuJPn8WYORYoqrUxfD0f0mIYkCt6+W2WzoyJJ45MQL2/F4uNTk6Wqbh0tNdMMhl1V5striFz6YoZRPAqHyxePlsE1yPqNyfbYUtRh+tt5hZjTDezfG8P2AJ6stWl2LdFI5tOXps7U2tZZBUpW5NlOgnbbwg4DxcvrAYqXD2GroLG12EUWBhenCids0xsS8aTiux8OlFrrpUMolWZgpvHAODs7f4+xr58Xt+XB9FICxM0xMW61q/PDTNVzPZ2okQzatUs4nIrU8gM2mzngpPVT49qI1u9kx+YOPV+gZDgszRb55d/LQcYT7+wqbjR6lfJJf/Mos6eSr+018P+DxSou2ZpFNqdyYKyJLcTHeWbK00WGzoaMqEjdmi6STCr/y9TnuPWtw73mdZ6steobDL31lhkI2wVtzJXzP49Fyk5Zm8sFboxQyCVarGqVcglLu4D3yOHar5wc8Wm7S7dnkMio3ZopI8W8fE/PKcFyfh0tNtpo6ruejyCJ3F0a4NV9mrJzi6WoHz/MRRYH/97/9kmbXRBAg8CEQYGY0y/XZAp88qmI7HuPlNHP9wuzRUgpRDFW7CtkE2TgBNCbmlSAIAreuDPuB2j2bnuGQz6gsrrX58PMNZEXkFz6Y4fMnNQzLpZxPcm16x443LTfyZ42W0tyeL1Nvm6iKNJSUUcwlKWRUPn9Sp1hIHJq42NYsnqy28f2AufHckF3d6Jg86ycYDvqhdrP77HFtunDmBdYxMZeZbFrla7cnuJ9q8JP7m1iOSzoh8+13JxHF0M6eGcuhKhKW7VEpJEmqMklV5uZciWpT59aVEuv1HtmUwtWpAh/d36DaMpBEgcdLLRzPZ2Ysxy99dZax0t7z8fJml416b+jsERMTE/M689mTGhD6Dy+KP0sQBBZmCvzk/haPl1u8daV83kOKiQHgxkyRzYZ+oljeoA85kwrjh4Nz7oO3xkgmJLq6w9X+mWKrqTNeSRP4Abrp0jVsPn6wxZWJPD++v84ffbyGJIn8pW/N8813p0587d1ohsPj5Sadno3teBRzSWbG9go3vWpEUYhiHaIoMF6Ok7Ji9kczbP7l7z6i2p9D/5dfvkWqn4goSSK3r5apNg0UWeTOtRGerrZJJmSyKZk/+3Kjn7Qt8mCpyU8fVkmqMl+7M8Gf++rsC689VkojicKRfYrzk3lSCRnH9Rktpk5VHDZRySBLIoblUsolDjzLBEHAs7UO9bZBMhGepQaF12JiLjuiKDI/lec//OlzJFHk62+PHev1o6U0y5tdXC/gnesVvnha4/OndWRJ5NvvTjE9upMkXCmkEAQh8l3uLjA8qs8QwjmsyCK6Gc7htmbxWz98hu363Lla4b0bo0f+DPv5TmLOBsvxeLTUxLBcKoUUV6fyJ8rviom5cPg+P7m/iQD86jevnPdoTsQv/swsXcPBMB2+9e7kULHuZeEk+WuvKxfDQxUT84pxPZ9n62Ew2vV8nq62WdrsYlguQQCm5Z2ogKOtWWw2dIIADMtlabN7rNcrssjMWI6p0SyG5dLs7N/GstU1ebjUIpNS6OoO9xYbeF7A036AHeDeYp2NejiWetvg08e1Y41lN6oq8ee+OsudqxVUWSIIwkKYg8YY83JRFYnZ8RyTI5kXJkGYlotpu6xsaeimy8PlFl3doaXZbNZ1Wh2LP7u3ET1/vdaj07MJAmhrNlsNHd10uD5T5C99+yrv3QgPfrWWQbNjEQTQMxzWqtq+1291LapNI5oXa1WNqdEsM2M5lEMq+Q/CcX0WNzrh/HXD+RsTE3M0VrY0eoZDEISOlNoL2iXvnr/LW8fb184DWRKZHs0yNZo902Dsjz5bp2c4mJbHypbG/ESO+cmdxLcrk3m+fmdiT+ciOHzN/tMvN9D08Dd5vNxi9YC1dJsHS0026r3wN2ybfPq4ejYf8IhsNXVa3XDt7+o267W4LeNZ0tXtyH6zbI+ljXDOFXNJEgkZVZYRBJFq0+CLZw0ACtkEXy62yKZUitkk9541WVxrM1JIEQTwZKVFEATRNVzPRzcdmh3zWHbrZr1HRwvtg45ms9HQX94XERMTs4e1ariHb6+7xVwSy/FCEQJV5itvjSFJIuv1Hqs1jfVaj/Vaj6WtLq7rY9oev/+TZSzbIwhgo64PtRmvFFLMjudiZceYmFfMoB9IkkTK+SSz4zkkUeCzp3UyKYWELPF7f7aEbrp9H49JY8AXM+jP2mro2E4YsCznE0MO78X1No2OxdRolrSq8JP7mweO68lqG9f18f2AxY0OjusDYfLD09U2nhfs8UNts+2DWK32hs8ebeOMv72YmMtPPqPSMx1yaZWEIrO43uH5xrBdPlZKMzueG0pKKuZCxfaEKjM/WSCVUFje6rJVN2h3bT6+X2Wt3kPTHRbXO3z6qIrleOimg+eF81nrn+d2nz1iYmJiXmc+f1IH4O7CyDmPZJjrs0UAHq/EsY6Yi4MkiSeO5Q36kDV9//jh7fkKX78zwWgpjSgKTFQyXJnIMz9VwLBdBAR8P+Dzp1V+/8cruF6AZXv82x88O/W1HTf0j/r9Dji247Ne67FR1zFMh6WNLrbjRc83LBdr4PGrQpGl8Lw4ko26rsbE7OaPPl7tF1zBek3nTz5dG/p7UpWZHc8xUclQKaT42p0J5sZzVJsmQQC1psG9Z00+flClZ7hous2ffbnBRv3wWNU2x/EpCkI412fHc2ciGFfMJagUkocWoze7FrVWP85puiwfM39nN0EQoJvO0BoRE3Oe2LbLZ09qjJczjBRTfPTgeHlhz9c75DMJyvkkj1bafPSgitffc3/0xcae52/7Lnfn0h3FZ7ib7fUjm1b50RcbGJaH5wV89rhGq3u8PLT9fCcH4bo+tZaOabvHusabyMpmN/JJ11rGkE86Juay0ulY/NGna8iSiCSJ/N5PVrAs67yHdWzWahpXJ/Ncnyth2eH55rJx3Py115m4/DDmlaMZYbAon1HPrXoqCIABe9EPAvxg2IB8kUG5H7tfc5L3gLAA4yf3tyCAmbEM3353GnVAEcDtB9sAAnbGHgQ7H8vbdW3P9TkL9nxPwck+Y8yrYXmzGyV6ua6PLIsEvs/2nbJ9m3geeJ6PHzCU6AmhCr8siSDAtakCI8VU/7VHuxfOYm4NEgze6Idc91Xgej6a7pBMSHFFfwyO69MzHFJJ+cKquOzZp14wf856/l5m2rpNtaHjBQGW7fL5kyzFXJJb86VTqZX6fvg9B0GAJIq4L9ivB22A/R6/bOJ74uWy+/sctOcO++29gX/7QYDjePRMh7Vqj1pLwQ/g1pUyuunw2eMapuOhyCKSKCD1VX5f9FvGv31MzPmyPQc7PZu2ZmHaLqblEPgBgiCQSkihPe+HtrIfgBAE2I4bBRVdN57HMTGXBc8fPvd63u75O/DvgT3aDwIeLrcgAEEIEwJLuZ2um4McZkcOrQ8DfoIgGL7eruM5z9fDjmIvfM9j4rgeoij2FT4dHNcnl1bjzh4xrwW757d3xDPe4Flho6HTM2ws20OWxWgN2X6GZXt8/riG5wfIssid+fJe3/Hux56PZjioikTqnDtyBkGA44adyN5UNbaYmJjTEwQBXzzdLuKonPNohrkxUwTg0XLzfAcSE3NG7I0fHv21nufjun6053ueT9A/3wB4x41p7Hp6p2fzcKmJ7wdkUkp0Lopi7duv679wcb3DVv+MMzeRO/cOHWdJfLZ6Pdhtxw+e9bcFTXfb0YPTZDtPZvcccL3jn+HNfsFTJqW89I5Xmm7zYKmJ5wWkkzK358v7dg4/q/wdCG2JR8stWl0LQYBr04VDOw3ExLwK3J3UH2Bvrs+LGPIren5/gdjZg1/E9l6STir7+gwHfXqHjmO3b+QlxS5s2+W3PnxOt2cjyyK/+JWZ12pvP2v2xobPaSAxFwrPD9B0G0UWL2VXX4/+GjUQ87iMrGx1+exxDT8IC+xuzZfOe0jH5rj5a68zcSeOmFfKylaXL5/WefA8bMe41dRx3BdXqT9f7/BwqXlmlbCKLDI12jfEBJgbzzEzmkWSQsMxnz1+Fw4IlZAL2VBlQJIEpsey+H7YKeDxcvOFiZnbfP6kDgHYjseffLbB//HDZ3z+pIbvB9iORxAITPRb1xazCa5NhUrgM2M7Shw358pIohgqC/g+d66djVN6UNlcVUQc73JW811GDMtlq6kf+H37fkC9bbBe77HV6NHuDSuke76PKAlcnSpQzCYo5BKMFFMkEhKzE1k+erDFxw+2cDx/JwFd2D6iAQGsbu2obowUU6STYRC33bPo9hx0c0fNd72m8WCxiSwK5AfnxUDLRQgPdltNHdM62vxWFYnJkZ35OzueY7UaXmvw+i8b2/H4/EmNh0tNPntco61dvsrcmLPDtF1+cn+TP/tygz/7cgNNf3X34nGYGs1G7YkzKYWRQvLQ5xeziUPn72mwbZeHS00W1y+HwtxoMclaXeP5ehtJDNci1/MPTFIbxPODfveivZXjCzMFqk2DjXr4PjNjBzuKmh2TSiFJNh0ehlMJiXdesXLgaDEdJfAkFInxSvqVXv91J59RKeZCG1QUBWbGwjln2i6qJESKb+mUwq0rRWotg41aj7evloGwM5YkiuiWy8pml55hY1gutZZBW7N4uNTiyVqblc0uDxcbtDUbPwgiu/UwxstpkonQPkioEuPl4d9+ZbPb34tj5ZqYmJfBZL+9uCiA2neMdnUHzw8wbZdHyy0aHRPD9DBtD4GAlmZjOT71jolpu3znvekoKF/MJchnVHTT5cFi89QqdDExMWdDtalzb7FOEARcmy6gmw6W7fGd9yeR+3Z8Nq1QHrDjpwf8WYokYpphJ85q02CtuuMTmJ/YEWWQZTHqsrkfcxO5yBkwOZKJhEVEUWBuPBc9b2Z8xw/luB4b9bCzZ1e3sR03OnukkzKjxYMTG0x7/7UoCAIeLoWKoD99uMWT1TafPwn9ivcWG6+8GE0z+v6LN1ypr62FHRudMxKMeRMZPA/Pjmdpdy0M06WcT5LLqjQ65gsTL2bGsoiigGW7JJSwk08mpWDaHneulSnmEiQViUohyeRIJkqAcN3wHHvQ2aPZMdms96K59tmTGvV+J51t3+NRxgfhvfLR/U2+fFbHPuH94rgenz2p8dOHVT5/Uj9SLCEmJiZmP1a2NDo9G1UWuTF7sZIbtjtxLG9233g7I+b1YKyUJtWPH5q2S1szI3viMOptg48ebNHWbLZaob/81nyF92+O4Lo+nu/zc+9PRc/XTZsHi01WBs4Rg9dWFZGJXf7rtZoWnSN6htMXnQz93oVsgoQikUxI9EwH03L7ZxyLrm6/ct+J6/o8Xm721cx9XM+n2jTOJB65MWDvPXjejIU+LgHP1to8XGrusau/+c4kmf49n8uofPPtSSCMv3/yqMpPH1a5t9iIfIgPFpt0elZ0Fihmk1ydynNnvowsCaQSMjdmisyMhWf/IAhodMI57Lo+9bZBvW3sOQ+0NYvPntR48LzJ509qLG12eLDYRNPtl3KGXKv1QsV/32ej3mNxvbPv88r5JLl0GOeUJfFUcc6e4dDqhvMvCGB1n04/MTGvmnRS3kncFeC9G6MvfE1Xt6k2DWzHY248H/kAb8yWuDEXvpcgwAc3R+no4V67UQ99jIO5PVtNPdpLHi41h+bXzHiWxbU2Hz+o8vGDrRfuXe+/NRYVbM5P5o9dINXp2f11xhtat3bvb0/W2nR7YR6H6/p8+ax+rOu8iI16j3uLdTr9XJHF9f7afUlt/OmB/MDdPumYNxPPD7i/2Ojv93W2mi/OlblolPIJFqbz2I6P4/q8NVcikTh+jvB50+iYLG91WVxr0+iYlzJHY2o0i2bYrGx2CQhemL/2OhPLhse8UrYTHVtdi62mTs9wyKQU7i6MRIHd3fzZlxs8eB6qz9xbbPC9b19FPeC5x2FmLNdPPhOia+fSCq2uxXi/detxEUWBt66UsRwvbLskCvzhxytRO/pHy21+9ZtziOLh41dlCcv22GrptDSLRtvkM6tGIatSbZq4nk8+m+DGXJHxSqavoBwMtbPVTRs/8MllFBBEuj37RIUpu8mmFN67OUq7a/J4pcXSehdBgNvzZbLpF7fJjDkZmuFw71k9Upu5NV+OHA6wk9hQaxksbXbJphTGy2l0yyXTr3xNJRXevzHKOwsjfRWbANeHpCzy+dNGVF1ab5m8c30EURTwPD9qMQ4gSjvzQpZE3r5W4eOHW2zUemzWdR4tN/jet6+xstXlT/vtFVVV4nvfvMLVqUI0L7ZpaxY/+GSNds9ipJDiO+9NHalSd3Y8nL+iKPBwqclH97cA+PSJxF/6zjzp5Mu/F5tdC9sJnU1BANWmcSZzLOZysral8XSlHVUG5zMq715/sZNkNx3d5slyi3RC4a2XUCmdSsi8d2MUx/NRj6BgKYoCb82VsF1/z/w9Da7rRyoXAFtNg6/fmTiT935Z/NkXmzQ7Fr4f8Gyty8+/54IivdBe8PsH2Z4RFuCNl9NcmcxHf/e8gG/encDxfNIJha7uUszt7eQyqPi1MF1gbjJPJqFEyXyvCkUWubtQwXZ9FEmMFbrOGEEQuDlXCm1JUUCSRGzX59/9ySKa7qBIIvNTeb5+e4KHy02aHZOlTY1CVuUbd8Z5uNwmnZQJgoC1mkYQhPvVWrXHjdkS7Z4FAdTbJpuNHqbj862747x7c+yF81uRJe5eG8Hx9v72nz2u8smjsEXzF09r/MWfvRp3qIqJOWOS/T3cdn081wNBoN42cVyfTx5VafcsWm0TJ5SPwbS8sOg/k2B6LItAmBy+MFMgnVRIKBKm7fLvPlxE7+9RdxcqvH/z4KTumJiYl8vyZpc/+HgFApBEgfnJPLeulBElyGeSzI7ncPex43NplfdvjvU7Rdr80//jXlT4GQQBb/dFPWRZ5Fe+MYdmuiRV+VDf2lgpTTmfxPeDoc6wABOVTD+QOuyHEgWB1aoWBQtK+STffnf6hWcP23YjWwfgzrUKX3krXIvamh0lSHhewJfPaoyXwqLnnuHQM50h38hJsG2XB0uh3/Gt+cqB30uzY/JopRX+PpLA21crJM+5O8F5sFbTWNkME1USqsTda5V91U5jDsZ1fX77R89pazbdnk1HtxivZIGAQlbh+VroR64Ukiz0ldn3o5BN8MHNUXqmy/3nDQjCDqHplMydqxXwfQzLI5NWqLfNyD8N4Vl/v7PH9rmzq9s0Oxaz41kEBLYaBuV8kgfPm3T7iQgjxRSSKFDvmEyPZvcUea/Xevz7Hz1no95DlkRuzLb4yz979YV+8d1s1HVMK1zTDMtls6FHCWUxMTExx+H+YgOAG3OlA+OR50U5n6SYS9DqWiyudbg1Xz7vIcXEnApZErl7rcLyZpc//HgFEPj8SZ3vfm3uULXrpY0uQRAKT7iez+2rJbIpla+8NcFoKY0MzM+EcRPTdvmtHy5i9O2E926M8M710ejaB/mv5V22SKWQYm4ij+8HiKLA4+UWnZ7N/cUGtZbOSrVHJqUiizsCO68C3/f5nT9diopfVjZzFPOJyC6aHsueKhl9s76TcNfVbXTLJZu6fErKbwo//HSNp6uhINqjpSbf+/Z8ZFePFFL8nf/sXTqGTT6loqrhOX2t1ouKJjTdYaOm8aMvNyM/4NvXKrx3cxRZFBBFgbcXRvjed67iuT7lgeTpJ6ttGu1QoKytWVEsvJ4zudlP9tZNlz/66Sqm5TIzluXpSpcffbFBJqnwg888bswUSKihP/LthcqZdOmQJREvCFje1LAdD1EQUBWJ2fHhs4IoCtyaP5s45+6zr3TMs01MzMviq7cnuHO1DIiRCOtBbDV1FtfCoqftmO9X8mORD3B2PMe710eQ5X588geL2H0xhbevVXA8H4JwbgUErGx1sWyfyZEUM2NZPnhrDAiwbC/yH/l+wNJml3cOyaW5Nl1gajSD6/rHzjvbauhRIZcii2RSSuRPzKZ1bs+XI79kQhn+flR5b0z+pDxeafLhZ2GO1GeP6oxWUqz2v4MHzxt871tXX3lc/7Skk2F+4H4+6Zg3E023o7wXCPOAx0qXS/TT8wMmR7JhrpIA45UMQRBcuvv7x/c22aj1CAgL2Wz78gnfbNR7rFU1XA/s1Q5vzZUo5t7MQo43L9IUc66osoThuXR1G0EQkCQBx/Xp6jbl/P6TcGljp2q+27NptI1jtTPbLhYp5hKUdk30wWDzTx9uRcnqT9c6/MXvXCV/wkBwQpEwLZeVhs4XT+tkUgqiIFBvG2imi2m5B44J4Gt3xvn3P3qOpjuMllKoioTnBWw1jKG2cabtHZggt7QZJu5tG6GLGx1mxg8PcAVBwNPVNs2uRTopc2O2OPQdbSOJAprhsF2SHQRhhV9cxPHyaHbMqMhi+/seTFRwXJ9Oz6ZnOvh+QEe3mahkyGdUJFFAQODKZB5ZEpGl8B7VdJtG2yShSHi+T7UVqmYUswkkMXR0oEhcmcyzWtVQJDHq+rKNIAgsrXd5vtHFcX1KOZXNRo9nazvK+rbtsVbV901I//Rxjc+ehEmfS5tdxspp5ifzNLsWqYS8JwA8yHYiyaCyhmV7rNV6XJ95+ffi7sQOVblcB66Ys0W33KHWbsYJqpxN2+W3/2QRq29cNzWTb96dPLMxbiOKAgnx6A4JQRB2uvMck1rLoKuHRYSD+3y9Y0YFHADLG50LUcShGQ61lhEqdJUzQwGeesdEFEVEMSAA6h2bt0dzUaCk3jbo9GzyGTVSB9lq6jTaJo+Ww+4EohAGegaLOAQxtEe299uDzoaDSmWG5aHK0rk5ek5zT8QcjcHvt97So6RGURTYahq4vk+ra/F8o0unZxMEPp6rsFrrklRlFCks4E0lVRzXJaFKbDZ7iKKA43o83+jg+wGNjsEPPtvg7vUXF3FsX3+/9eP5QEKY3leom58s7HleTEzM6RBFgVtXSnz8IFSjz6VVHM+j1bUwLAfHC+joFrIo4vo+gR8m2D5f71DMJ0k8rfN4pcV/8nPXgLAIWR9wtj7f6MZFHDEx58iztTY9w8HuC4MsrndZmAn30416j57hYFgulUKS+cn8UFBBEgUkUWJDd0j0O8ZJ+yQZiaJ4ZF+XLIlwgMk3mPi4bQenkjL5jIrVT57IpJQh28HsJ1+LosDUSCZKfqi2zcjWgfCMv13Esds2HgqsCmHnkYNodS2aXZNMSjk0kPQffrwcJaSsbPX43rfn931evW1C/8jneQEtzWLiDSziqLd3ugtatodmOLGgxTFpaSZtLTwPt3oW3Z7N9KiA68HiRpcbMyWCIOCzJ7XIRxsq6wqMlXc6I0KYRJTPqMxP5FmpaqQSMtemC/3zhEQiESbijZXSaIZDR7PJphWmRnZ86wlFiubx4nqHTFJBlgRM28VxfVRFQlHC5I3uQNfRz55U6Whh4NbzA/7Sd64yP+A3rLWNSI3P9Xy2mjqdnn3sQJwghIFIw3JJJ2VE4ew6hMbExLxZ3OsXcdy6crG6cEDoa7s+U+TH9zZ5vNKKizhiLjVtzaLRMUknFdZrPQZjyU9WWpFKbDkfqv8PnmuCIIwp+P1YparIkQ1SzIY2RL1tcG26wEa9FxVwQOjTeKcvrHWY/3pmPMtGvUfXcLg6md+xZftP31bO/uhBlc1GmASfUmVuXy1H3Q5eBZrpDsUEHq+0uDvQlbveNk5VxKEoYnReFAQuXHFbzDBLA11gml2LtmZTGoi5qarEiLoTl+oZDlrPptm1sByXXFql2bGG/IBLG91+snVIQpH2zJtG2+DeszoJVSaXVths6KQSMltNncfLLfwg4NpkgX/34SJrVY2e4dDWbBzPi8787a5FvWMxNaJgOR5d3d43P+ZFWE7Y/VMUBCZHMsyOZ2l1TTzPp5hLkE2rNNrmniIOOLuYViohMzeRY63WQ5FFrk7lX/yimJhXxFFFTuutHb/Odo5RpZCK9sFW1+TeswaKIqLKUlTAAWFR9EgxhWl7ZJIyy1tdNvpFget1jXcXRqP9ZFsMdRvxCMnRSVWGE6T5DPqqHNdnZbMb5a5pusPylka1qSOLIgszBSYqaZ6stCnmE3zl1vFFOQ9icW1nrbZdjy+e1Cn27Yy2ZtPSTEaKlyvZHXb8zjEx0LcZBSI/+WXMGbFsly+e1mh2LBAEXLeK6/ool+yzdDQbPwh/Ct8PeLzaZG7yctkmYb6ngCyF/uPlzW5cxHFe/OZv/ia/93u/x+rqKv/m3/wbbt68ue/z/pf/5X/hf/gf/gd83+db3/oW3//+95HlcPi///u/zz/+x/8Yz/O4desW/+gf/SMymTAQ8cknn/Bf/pf/JaZpMjExwT/5J/+EsbE4KeG8uD5b5Pl6h3xWpSSKYXW6AEn14IUwl1ExrNBJIUkC+czRVSA2GzrP+wne1abBrfky+cz+Vt96bUdxwnV9thq9ExdxeH7AvcUGjuvjuj6NjslIIYUqS3R6NmtbWjSmt66U9gQ7NcPhztUKhWyC5+ud0FmVCxVUB1XTUocEi3d/T4UDPvcg9bYZGbia7rCypXF1av8EvN1qg+epPui6Ph893KKj2cxP5bg+c/Gc8Afh+z4fPdii1bWZHstwe76y7/N2F+vs/u3D4gwxSmjYLnAYL6f3VaczbZf7A+1xa229v8EHpBLykJLEeDl9aDHFZj8IC2A5YYC3kE1Qbe44Fwu5/e+/VnfnQEUAW41e6DSMEiN8pl7ghMxn1CjhAoHoIPSyKeWTTI9lQ2d0Qj6VszTm8jM9muX5Rpee6ZBUpROpQtaaRlTAAcNKSJeRWsuIlIGqTYObc6WoPXMuLSNJAp4XTvbzKAJcrWo8eN5AVSS+enscCJ1P2+ui4/hDxRaFrBoVUiqSyM//zDQjhXBtbHRMnqzsfFZBEHBdn8X1Dpbt8mi5RTmXIKHKNAfXPWBuPMcju4XleIyV0gcmQCVVOVI1kCQhDqq8QWTSKprhsNXQkWWRD26ORkrXhhUWR2uGw1gphecFtDWLUjaBKIrIkoAsyeimw3q1RzGXoJBLIEsimayCIoeFx7bjneqe2u5mB2HQr5CJE/liYl4WqYSMbroIBDxabtLuWmTSKqoisVnvEfgQCAGeD0lVxPMDPM9ntB8csGyPejtUzM6lFQSBqFj8pOffmJiYsyEIgmg/DYKA0dKO8mW3Z0fBzmrTGCocHqSQVQkI0E0XVREpZF/uvK63jcgODoJQsW9huggM+y08z+fLxQZuXwXUsNxIsTOXUQ9ciwrZBGPlNFtNnYQi8Y27k2zWw0SqyZHMgb6orm7zsN9do9o0CAL29WuYtrvjT+h/Htv19+3GkUwM+y4P88m9zqRUORItEISwWDDmeKSTanQeVgcSpUSRyG/d0iyWN7tsNQxs12N+MsdYKUO9bfLujZE9yrVj5TRjh/juRDFMDt6PwfNsvWXi5wNyaZXJkQzZtEImpXBlIo8oCsiSiOuF87jbs+n07L7QD/zpl5tMVHbmZSohk07IaIaDIIRn2vQJ5o0qS7Q1C8N2cVwvFlGJiYk5Mfefh0Ucty9ogcTCTCEq4oiJuaxouh12uQsADFzPZ7PRo2e4ZFIy0yPZqIC71jIoZHefa0LfptePVcqiAMKwDbJtaxQyiaEEslz6aPkD1aaBqkhUFImuHhaKDtr2KVWm3bNYq2lRrMB2PWbGcwfmGLwMwu6JO8mzhVxi6Nx02i7I16YLLK53cPtnq8uYgPcmkUspNPv+AlkWDywoGlSj32z2aHUsBEEgCODmbHHoHsq9IOemrVk8XmljWC5tzSYIUiTU0DbXTRdFEuloNk/WWuiGQz6j4vsBmumwMFWgpQ2ON7zW9rngRdf96cMtfB/evzlKqd8l9P6zRlR4pOkOt6+Wubswgh8QzdXd5/aXwUQlcyzB2ZiYi8Bnj6tsNgxGSykK2cSOQMOuOWnbLv/+T5ciNfekOnz+lmWBzUaYv9DWLGwnFB32fJ9MSqFnuWxb2pmUwuRIJurOeeUlJhYnExLd7bQKAXJZlaBfQxIEAatVDUkQ8DyPL581yGcTURFbq2sfuQDmReSzKhv1XvR4pJiKfKGSJJzZdWJizpN0UuHqZIHNRg9VkZi/ZEUDIQH1thV1LKv37aXLRjIhoVp9v7IgMFHZGy+66OTSCms1DdPyyGcTb2wBB1yAIo5f/dVf5W//7b/N3/ybf/PA5ywvL/Pf/Xf/Hf/r//q/UqlU+Lt/9+/yL//lv+Rv/I2/Qa/X4zd+4zf4p//0n7KwsMA//If/kP/+v//v+Qf/4B8QBAH/xX/xX/Cbv/mbfOMb3+B/+p/+J/7RP/pH/Lf/7X/7Cj9hzCCphMyt+TI3ZousbGlYjsdIMUU6efAh8Wffm+HH9zawHY/bVyvHMmy0AXUwgF7/ALkf5XyCejvsRNDVbWpNk4TSZWYsu2exthyP5+udKGi8u4uI7XjRYv/O9VGerbWZqGR478YI3QF1wXrb4KcPXeYmcsxN5NFNh+XNLo+WWpTzCSYrGRRZZGYs2+/kYZJQRRKKjOv5tHthUHpuIocoCCyudzAsl7WqhucHpFMy2ZTCSDHN29f2Fgc4rs/z9U6UODqoIg8Mdf3YzVgpjev5dHs2uYx6ru2xfnJ/k0fLLSBUp8ym1EtzeP7kUY37i2FiwfbY91OIGC2lcD2fTs/a9/vebgW6sqWRTSsoskjPcGh2LRRZIggC6m2TpBp21jBMF98P8IOAraYeFuxM5qkUUgRBwJOVFo7rk8+o+86B5c0unz2p0enZmLZHQhFRZJFyPokqi3zlVpgQrek285P5Pb9HW7NYrWqIYpjMYbse2ZTKaCk9VJWvDSiC7P96gXeujyIJAj3T4dp08ZVWr0+Pnq5dcczrQymf5GdujdHWLDIphanR469BxVxiqLChlL+4SdBrVS1SBJ2byO+r4N/dtQdrhh0VcaSTKj//wQz3ntX7RRSvtguHptv84ccreF6A5wc8X++wMF2MuoaE4x1ef/7WX77D/+t/v4fjeHzjnQk26wbdnsOViTzdnkW1qUcBn7FyCtcN2Gj0wqBUENDsWhSyML9LmSedVHjvxsEqH+u1Ho2OiSwJ0fc3NZI5sN10V7dZ3uwiCgJzE7khG8vzwsIS0/aoFJKXZq98E9luLdxsm9TaBuu1bqhg5foEvk9Hs7Edj3RSptkJu7XZtksupUD/txcA2w2f63o+tZZBJqUwM5rj+oyO1d9vxytpUqcMbnzr7iSKvIVuOlyfLQ6pgMXExJwNvh/wfKNDq2uxUe/xfKNLS7PoGS6W4yFLArYbkEnKJJMShu0xWkhxc66E7Xg02hamHSZNVJs92prFzFiOn31vmkfLTZIJOSpqjImJOR+2E6bbXZvxcorJcpovn9WRJZGbV4pRchIc7q9pdE026z1UVaTVNfkPf7qEabvculLi+uyO6IVpuzxf7+B6AVOjmSElTMNyo85d06PZAwuNBztoCIJAPqOy2dCRRJEbs8Xob5bjRUHL3a/Lp8OzwYPnDZKqzFfvDK9F85P5oWDQUYQbBt8fQht5vyKOpCqTTSvR83Npdd8CDoCpkSxBALrpUMon39juE/NT+aiz8lgpferksTcR3/eZGc3xxbM65VyCq5N5UolQDCKdlPn3P1ri8XKLrm6TTsoEhCp3Y6UMrudjWC7NjklXd8ilFWbHc6cKND5dbbG00UFVJCbKaQQx9E/cuVomm1ZxvdB/bNoexVwC1/MRRYHbVyv84cer0fvk0gq65UaJlfOTeX7xZ2b47HGNVFLhm3cnUU9wvxi2O+Qr1U/Q+TQmJiYm9JeF4moXtcvFdrHddmFdTMxFo9OzWdnqIooCc+M7fudqM+y+pSpiWAwxcFQxTK+fMB4QBERxaM/32WzoOK7H9dlQ/On5eofF9S5j5TS5fmF3o2tRaxrolkOjbWLYYbfr9ZrG1+9McGe+zGdPamRTKl+9dTSfRm/A7x8Eodjc8qYTxfxvzIWClOmEjCQKBEDgB4wWUy81AXU3qizyS1+d4ZNHNSRJ4GdujxP4AZsNHUUW940lH4ekKnPrysVcD2OGWa/1GC+n0U2HQjbJezdHD7SrB+NyrhswWkpHeSyyLPHO9RE+flAlnZD2+AFN22Vpo8t6rUdClcIaqSCMhVebBpruMD2aZbPRI5sKi72fb3TCBOlaF9cNyKYUFmYK/Mo35/no/iaabvO1t8dJKDK24zFaSr1QEOH3f7IcFYx/8azOX/7OVSZGMkOdRjUj/JyqInFjthjNi5MI7L0szL5fxfVCv8p2fC8m5mVwWGz43rMa/+r3HtHt2WTSCn/1F65hOT49w+HqVJ5Maue5Hd2mo1l0ew6iKDBSTPL1tydYXG9TyCQo5ZI8WW1hWC6ZlIJlq5HYqyQJlHbd5+mkTDoZ5i7t9rdtx+cNK+zONTkyHLPebXdohkO1aZBQwnynQWG6uYk8oiBE+YeZlMLyZhffDyjnk5HoJIR2wOBnPigf6SR85eZ2YYjJlfECsxMZfnxvC9vxeftamfQr7OgVE/MyGS2lhgSoLhu26yPJO13pZCkUaJUvmYjqd96b4l/93mM8L2BhpsDcxOURPN/G9wM03cGwHGT58hXSnCXnvkN87Wtfe+Fzfvu3f5s//+f/PCMjYYvIX//1X+d//B//R/7G3/gb/OEf/iF3795lYWEBgL/5N/8mf+fv/B3+wT/4B3z22Weoqso3vvENAP76X//rfPvb38ZxHBTl6N0cBgmCAF2/3MrYF4XRgkx4C/ov/E6/+taOE+E4378q+VjWjiqwLKQOfP3b8zkIXJa3NPLpFI5js7jaIPBsRorDm8/DpVZUjNFsa9y9Vo46H0C/2j9wsWwPSYCv3iqzMB12tLAsD8uy0AyHjbrOzGiGlQ0P27Kod0w8L8B2bBbXDOYnc4wWFHJJgbWBTiGTlRS1jhEpJWg9A1GEbs/h0XKLjYbBaDGJLIncuZJnbjyLaQ4rfwM8Xe1Eqg2NlsbNuQKi4GGYLpIkUEynD/2+i2mRYjo8+J/nvKg2NRxnx7jeqLbIpy7H4r6tQhE97u7f5hPChI7dh5dB0kklUrJ8ttbGdnwM0+XeszoIkE4o9IzwwDU9mkWSBGoNg44WBoXrbRNVkUJFDkxEQaBnOCRUaahoxLRd/viTVTTdodExsR2PfCYRJa5PVDKossg3707uO07H9Xi03ML3A0RBIp9VySZVyoUko6UUa9XejgLnPkVXnudHrwewnTbfenfq4C85JuYVcVr1lWxa5Ze/NseDpSbppDLUGvsi0eyYrPQ7SvUMB1naP2Aw1JFHgPwuZf7zLILSDCcqlmlrFr4fMD9ZoNoKnT/JhLxn/TFtn7/y8wt0ehabDYOOZtEzHBRZxHH9aD81bQ/bCYvTOpodHjwMl9FSck8Q60W0++qr24yX04cGijw/4OFSM/psj5ZavHdzp0BkabMbddzqGQ7ppPJK1cNijs5GvcdWQ+f5RofNeo+u7oZFR0HAclVDksQoocv1QVVEOrpDJimTTilMVtKUCykM0+XJamgTBEHYgWZhusivfPMKmw2DwA94+/oIong6p4Sqynw73otjYl4qazWNrYaOIAgoikira4Vq8YqIZjhIokhSlfCCANeDmZEcCUUk8KGQTaIqEkEQJh5ououqhHvGBzdHX2kSQkxMzME4rk8hkyCfVvECn0+f1smlQlvt+XqXhekirhcq21UOKJhcXO/Q7Tlk+klPf/LZBu/3A4gffrFBpZCKii2frLSjBKbHyy3euzEa+bYeLTcxLa//7xYf3Bwd6ti5TT6rRgp8fhDQ0e2oGGRpsxtdK6HKJBQpCozkd3UImR3PnToJaZDd3T0O6xL2y1+b47PHNQRR4O4+AijbiKJwpmO8rMiSeGDX3pgXEwQBD5daBEGY4CRJAjNjOcqFJHMTef6//+EBjbZBR7fp9uywW4cqYpgOQRCQUCW6PZuNfufOnuGExRcn9EU0uyadnoNpe5i2hygK/Ox700MJRsu7zpGDna67PZvFtQ7lYpKxcnooEUKWRN6+NsLb107n2yhkEkOdSt/UAqqYmJjT8eB5KKQ1NZK5sOvIdhHH0mYXy/FiVfyYC8W233k7LvfIDs8PuunwbC1MjOwZYCbcITvcC/whOyXsGiyy0Qi760miyPP1DqtbAq4XIIkC6/UeSVUmk5J5vtbB9XyW1rs4vstW3UAUBcbLGX7vx8vMjOW4PR/a8Ot1netH6DCaz+wknIqiwNZAh/QnKy3evTHKW1fKfO/b83z5tAECvH21EsVfXyWjpTS//PW5of92UdewmJdDq7sTI7oyWWC8kt5XoGCbQjYR2e6ZlBLtJYIQFgaZthd1pNqo60Nxu6erbTbqOmtVDQSYLKcxHY/RYpp0SkEUQht/rJTGsD0263o/RiYQ+KGwQzqlMDWaPTRP4DB830fTHXTTjRKrlzc1EqpEUpUw+3N1cB4UsokLOS8er7SiAvTHK+GaeZpu6DExB/Gi2PCPvthksx+v122P3/3JCj///iwJRaKt2Wi6Tba/f6aSYT7RdhcoPwi4OVeK9sB626Cl9XPnBLgxU+TZegfddLgxW4reB8JCpier7Sgu/ixo89ZA8eDKVpdaKxxXz3BIJeTIF7Hb7vi0W4s6FPcMBwSGuo1KorAnxjH4907PptrUEUSB67MFNur6oflIJ0WWRb5+Z1i48uc/mDmz94+JiTkbcikFRRJQpHBdURSJ5CUssvrws/UwnqPAZkNneaPD7asHxzcuIkubXTL94mCA5c3OGxuDuRR34Pr6OlNTO0lB09PTrK2tHfi3zc1NfN/f87dsNksmk6FarQ799+PgOA737t074SeJOQ88w8NyfDJJiaXF2qHPlYE0Dq22S69fjNtryYwWhot+nm6YOO5AFqa5RWpXK7nACzB6LoIoYPoS9zprQ2Pqth2wPapbYUvL+paIboWqhD4BhunTa3VRsgoPt1ya2o7KWKMq0jN3FAxlWUAUwHYC1jZNNMMHp4ciC3x5v0uvEQbNG5pLre0gCAKTZYV6x8W0d97H1zdJJ0VkL0DyBJ4/q77g270YeLpFrRY6JGRJoFu3uNfbOOdRHY35yTyrVQ0CosDtWbDtcASiFsP0/ReW46EqEneuVrAdH0USyWVU2prFSCFJJq3QaFv7vheEBy7PC/AGWhe/szBCKiHxtTsTkeLebmzH48FSk07Poto0mKhkcFyPUi4VKXQKCNy5WqHZNUkl5F1tlPufxw+iA1v4vv6e58TEXFZGS2lGz7Gz0VEYVLuBvWvENuV8kptzJTTDJp9JXKhigXIhFSnuen7AaCkVqVeV8wnGSpk96gHNrsnKpka7ZxEE4VokSeEalFBlpseyUSeOpCohSyJTo1m6PZu5iRyjpRQjhbDd9FHZ8107+3/X2/i+HznpACx3+Pn2fr9d3IzjQrL9W7uuj6pIiKKA6/vgh/ZCWAQqIMsi2ZSCKgv0zFCt5u61Ee4ujDBSTLFR71HvmORSCgFhAdPVqQKjpRRXp4rn+RFjYmKOge8HPFpusVrVSCgS16aKdDSLjbpBQhHZaOgEQUAykQiLtoGJSmhPZNMKkyNpFDm00R8uN3G9cG3x/SDaz2JiYs4fRZbwg1B5KJUQCQbOvZ4f8N6NERzXDxUxD1Ddz6QUZEmIfFZDhRdBGOjcLqwYtA2DICwi2S7iGDxnH7ZWlHJJ3rpSoqvbJFV5SNlu8P0lUeD21TLVloEkCi+9m2s2pXB7vkxLs8gklUO7hGXTaiwMEfPK8P0A1/MjX53nhV1ybcfDtkNBIM+nfwYAVZXIpRXSSYVm1+TWfHlPJ57d57zjYDs+2ZQSnWcnK5k9CrG733/w8S/+zCzVawaWE55FXkbCcTGXiNaZXFq9kAlaMTExF5/7iw3g4nbhAKgUkhSzCVqaxbO1dqyQH3Oh8Dx/V1wutAd2+6tFUeT21SKtrkk6qWDZLr/342Vcz6fRMRkpJhktp7kynsO0vehcEwrKyUxU0iQ1ibFSitnxLJ8+ruP7ob1kWWFX7e2TSneXcvaLfOfbTI1mSahSpPz9aLkV/S0IwOkXUb1/c4ypvgjV+AWP2cS8vhxmi+/HSDGFJAr0TIfbV8vYjodhuRRzyTCuP3CU2B3bs+yBDppBmNA4UkpTKSTJpGR6RpirosgSo6U0SUWi1jZodSwEUWBuJMtIMRUlRp8EURSZGs1E+3Y+oyJJAveeNUglZNwg4NpU4VJ0md/tV3FcLy7iiHkp7I4N27tiw0lVigosBQGkXaJuluOxLbkoAO/fHGOtqiHLAvOTwyIelUIKUQyFYAvZBLm0eqDPzXZ3rTkvWM8GH++2O3TTIZtSD3zti0iqEp7vIwsS+UyCcj51aD5STEzM641he8yO5Vit9hAEmB7LYNse6jHyeC4CtutHtoUgCKzXtUtXxDFaTEfdSEVReKPX5EtRxAEMBSeDXZb/Ye3Cd/9t92uPi6IoXL9+/VTvEXN6bNul3bPJZVSS/XaRuunutDUNghe2YjyIK6bDg6U2vh8gSQK35opDSekb9R5XEga1poXpeMyOpbk9X0EUj9f5wXY87j1v4bo+ggDXZ0IF8FY3VP8YLSaZm8hFn+3BUisa042ZAstbvUgxcXo0gygKLG9qpPMGj1c6lPMJkgmZn/3aNNmUiuP6fPq4zky/RkCRRb56LcPz9VC9IZmQuDVX3FdZ8aJzG7hb69HRbaZHMkMV3mfNWRdxXZ0qkErINDomUyMZirmDEwuOiu36CCLopo0oihRyCSQhVLFB2HE2phIydxcqPHgeVrGPltK8NV/G8wJaXTu633Z3oslnVMbKKVzPRzMcJkYyVApJ3rpSHmrNqJs2PcOllEsiyyKrVQ3DdMEPO9J0NItCNhGp2AtCGJhNJ5Uh5T6AWktHkSUK2QQJRaKYS9Dqq96PXfA2babl4gfB0HcTE3NZMW03cvY0uiaZhHJoq8RiLnHiFsG24+G4PumkfKitdxiu52PaHilVGtrfVFnkL3xrnmdrbUzLw+k7rwtZlbeulJEHnuu6Ps2uGaqg+gFJVaar2wiEB4nRUugUX6/JiKJAUpUYKabw/IBGxyTTr9ov58MOWYepJO2mlEuwpojYTrhGbie72bZLU7MpZHfsIAid56V8gmYnXB93B5fGSmnaPRsCorU05mIyWkxRb5sUcgkCAt5dGKHeNmj3LDwvwPXCFsBBKHGFKIIXwM25Eqbt0O1ZjBRTlPNJZsdzNDthh63b8+VL3d70PNFNpz/HL80ROuY1otYyMC0P3XDw/VDp/v/6vTv84KermI7LwkyeR8sdmh2TlCozXkn1E7EDrkzmmB7LsbKp4fk+5VwiSrAsDvz7NHh+gGG5JBQpDkbGxJwC1/UJggBJDAOqpbxCt2cjiALvXwk7YbzIZ3NlPMcHb42yvKmhyBIL03nqfZGGQlZlpJTuK/eHdumztdD/NVJMkx5QmxorpVja6BIEAeOVDLIooBlOVKw8yKDqZbNrRrbo2C67V1WkV9qJL5VUQBCidS4+m8dcBCRJpFJI4vsBqiKSTMh9Nek02bTK/GSOZtsgIYuhyEMhRTolszBdJJdR2WoYLMwUEEUh7HAr7vjt/P5+rMjiUMfowyhmVZ76PqoskU0pXJve22Vl9zlydxHF4PniNDaz5/kYtvfCdWY3g+d+x/XjeR4TE7Mv9/rJoLcvcBGHIAgszBT4yf0tniy34iKOmAuFujsu17f182mVVELGsMLk7rFSmmxKITsQ4/vVb17h08c1pkez5DMJNN0hn1Wx+smdCVViajTD45UWjuMzPZphYabYT+JJUm+b/feU8QMf1wsIgoBrU3kkSYgSVw8rFN8dJ0glQmELAsilVbo9jSAIKOWTkR0hSyJTI8c/vxxm05wE3XQQBeFAAb2Y15tiLoFS3YmjH0UQoZRPDiVVB0F4ThAViXRSRjddXNcnW1Lw/YBG16Sn24wWk3Q0i6BvTydVmdmxLKoqU8gkeLjc7McmfCqF8P1dL+ycMVJIIkkCubQaxcB25wkclV/8ygxjpRRPVjqMlVK0NKvfxVBEIhSJkI6Zl3MejFfSrG5pQJhbcdLcpZiYF7E7Nrx7nfjZ96d5ttZBM2wySYVf/toc9baBZjhMVrIUsonIZ5ZKyIyX04hCGAOf2sePl0urKLJESt0WghmO52/bBNm+svp2TtvucY0W07S6oXCiIotDMevddsf8ZB7NcMKuwQLHirWbtsvKlobcV6dZXO/w3o3RPflIg3R0G8tyqRSSiGIc74iJed1IJxRKuSS1poEgQCWfQlEu31x/9/ooH362TkDo4/36reN3QTtv3r85Sle3qLUMroznmX+DO4BfCktxcnKS1dXV6PHa2lrUSWNycpIPP/ww+tvq6irj4+OIorjndZqm0ev1GB3daR12XARBIJ2O1RbOk45u8zs/WcHqV8H9ytfn2KjrLK53aPcTGsv5JLm0wsRIhnxaPVZhQjoNuVwW3XTIJJWhoNe//eEzPn9co94Ok2hGyyk00+crt6eRjilfmga+eieDZtikVJlkQmZ8pECnZyMIwpBieToNmUyatmZRzIbFGZVSnk7PjhSYAUbLeRzX5+e/4tPRbcZKmSgIbzseicSO4StLInOTZUZKOSzHO/b3dNFYmLu883KikjkzxQjTdvl3f7JIrWVQb5vcnCtyLVvk1nwZ3XRIqvKQkyCXVrm7UMGwXLIpBUUO7+N3ro8MzQHL8ZDEsM2xKIr88tfmWK32CIKAXN/xMBigXa1q/OHHK3heQCGr8qvfuILvB3R1m416Lww0CwLv3xzFtDy+XKyTUCSerLaZGsmQUOXovv79Hy+H3UoE+MpbY4wW02SSMsVsglRSJvcSi3ZOy2pVixw0Y+U087vaOMbEvGzamoVmOOQz6qnnylYz3Gsty+XLZ3VESSSlytyYK1Eg3Gd6hkMqKZ86ybneNni62iYIIJ9VeWuudOxCDt10uL8Yqo0nFInbV8tDe3pSlaNW67rp7LsX2rbLb334nG7PZqupc3UqTzGbRFVEFqaLFPMJkqqMabtAGDASEBBFgXRSidbX92+OYtrhOnqcQkNFlnj72giaYUfrt6bb/PafLNI1HFKqzHe/PstIcWcPvD5T3NeWgNB5/87CCKbtkkurZxJEink5ZKP9uQBBQBAI2K6H6/vce1onCODxcouWZuEHPuOVLLfmK3zxuMZKVeP3f7LK+zdGuTFXZLOh0+paVApJmh2TQjZBOZ+krYXOz3xGPXGh1JvCo+Vm6AAXYH4ivycpNSbmZfN4tcVnj6u4vk8upfKNO+PkUgo//8EMjueRSsj86z94wp9+uYHbV6jq9iwSisQnD2u0uha3r5Z4uqpRzqcICLg2XYgCrqfBcX3uLdYxLQ9JEnjrSnkoWSMmJubomI7LRkPHtj0yKYXpkRSO64cJ0QkZr6/cmFD2duKotw0s26OUT/Kf/uwCa/Ue2ZTCSDFNtamjmy5j5TSPl5voposoCpTyCTw/LA4VRWHoPRVZClVu/TBB6rMnNWzHR5ZEbl8tH5h8sG2LiqJwZmd1zwt9XAlFOnJituP6fPmsjmWHa1Mhk6DRCTu4hh3J3txgQMz5szBTZKSY4uZcEUEUhu7tX/hgms2mjiAJeK5PQJgY9fnTGh+8NRadC9+9PkJvwG/n+QH3Fxv0DAdBgBuzpRcW7ft+wNPVDgShUufCdJ5CNoHn+Wz1g5ijpfSRz5GPV1o02uE8m5vIHerr1E0Hy/bIZcL3sxyPe8/q4Toji9yeP3id2f0+2+f+7Y5AiizGPriYmJghPM/n4VITuNhFHBDaUj+5v8XjlfaLnxwT84q5MbvX1pckkTtXy4fa6yPFNNemi2w19Oi/FTIJ5sbD+HQurfJ0tc3T1XZfdTvgztUKIPTtJiu0m4SwiLXTs1ithsmYjuszVkoxUcmQTioEQYDleCiyFCV566bDJ4+qGKZLvu8X/dEX62i6g+16XJ0qsFbtUcyqFHNJTuMmtR2PL7dtGknk1nzpVMWlz9baVJsGADPj2RMVlcRcblRF4u7CyFA+yXEIgoAvnzVY2ugiSQLvLFTIpX2WNrtUmwYfP9ji0XITEMhnwo6Wo+Wwy8b8VI7lTS3MEZAEFqYLrGxptDWbJyttJkfSvH2twq35Mqos4vmQSkhk0yrLm13++JNVPC+gmEvwK9+cRz1iIYcoitxdGOXmXJme6VBrGVFyOjCkzn+RmR7NUsiouF4Qx2BiXjqHxYZnxnL8P/7qO6xUNaZGs2w1dD78YgPH8Vkt9agUU9EePVoKO204XoBMmFOmmw6trkUyIZNUJT59XEM3HPLZBLNjWZY2u2E8P6OSSsps1sP3mqikuTVfptuzUWRxT9FEMZfgnYURDNslm1L3iEPttjtO4h8Eou5Abl8INwgOX4serzT58PMNCMLv489/fS4u5IiJec0IgNWtDtW2DoJAvto97yGdiO9+bY5Gx0A3Xb51d4x0+lKUAQxh2h6tro3jBdQ7oZgpb2iI+VL8er/6q7/Kr//6r/P3/t7fo1Kp8M//+T/nL/7FvwjAz/3cz/EP/+E/5MmTJywsLPDP/tk/i/529+5dLMviRz/6Ed/4xjf4F//iX/DLv/zLKMob+mvvg266LK63SSXkSxPAfPi8EbV3tG2PTx5tsVE3cFyftZpGJqUgCiUeLjW5Nl0gl1G5c7Uy4KyxWVzvkkkqXDkgmJNQpD2KpLbt8fnjGgCNjoXr+UyMZFiv9Vhc77IwUzz2Z1FkkdJA5wVBEPZVFbMdj4fPm1iOx6aqc+dqGUUOq499P6DWMggC+u0sw89Z3tViSFUkxsopHi21kESBd2+M9N/bx3F8Oj0b2/VjJYBLQLNj4rg+pXxyz2HmyUobTXfQ+hXtjbbF9KiHptsHtp1KqnsTrgfnwKPlJs/WOsiSyPs3Rynnw4rz2fHcgWP84mktUr9pazZLm12mx3J88qhKEEAqKZPpHyBDpXqFR8tNNuo93p6vUC6mmJvIofQ7eAAQwA8+XeO962EhniyLvLMQ3sfLm126us3ceO6ldWIxLJdOzyazS0XoIIIgYG177MBWQ2d6NBurE7/GNDsma7UeI8XUsRQgXtp4uiaPlloArApw60p5j+PmOKxVNQhgo6HT0uyoC86Xz+rkMypfPqvj9RPAbs2fLoFzrdaLnCodzaarO8ce+2ZDx/XCdsWW41FrGfsqhgCkk8q+Dp9na126vbBDVjalUGsZTI/mSCUk6h0TBJioyFEgZfszV5sGs+M5XNfHdnwUyY+K4Y4bZtltKzx43uDJWqeveC7y6aMUf+5rc/SMcO3PpZUDFUoh7MIU7/OXA9cLsJ3QNlutajTaJmu1MEjieh7VtoEqiyiSTLdn47geT9ba0Z7+oy/XuTqdp9UN7dbVqka9Y2K7PrIk4Pe7eZfzSa7PFs/vg/bxfZ+na20c12dhqoB6QTpe6KazEyQKwgLNuIgj5lWzXu3hBQGO62PYLp4f2sWm5VHOq2iGw4OlBkEgAD6PVzpkUgrFbHi2s1yfds9mZjTX7yAZFobtDh4+X+/QMx3mJ3Okk0fbdxsdM1TAAjwvYKPe4/oJzsYxMTHQ6lrIggCKhO14LG5oFHNJREHg4webOI6P6/lkUgq35suRn2utqrHSFw9Yr/e4uzDC/OSOj2+0r3RXbxu0NZue4aAoIus1jXRS6XeQM9DNbGQTr1a1yGZ8utohnwmDqa7ns9nQD0yOPsivBWGB9JO1Nooscn2mdKTvxPN8fvqoSr1loioidxdG9nQLHeTpahvLccmk5Mh36HkB9xYb0Rmt2jSYGctGIhYxMefBQfOk1rbw3ABJEFlv6pi2y/xkHt10Wd3SeGu+jGG5lPNJSrkkQRBQbxs0OiadnoUkigQBrNd6BxZxtDULy/YQBOjqNpIkkpFE6h2LsXKa3/3xEl3dZqKcodW1uNUvqNjvHLlR71Fvm5TziaiAA2Ct2juwiKPRMXm80oo6e9y5VqHWMrCd8IDiuj5bDf1Av/0gW00jOvdv1HuU80kqhVTfB5eJ53lMTAwQqu2atkc6KR8a07gIbMcZH6+0znUcMTH7cZCt7/kBjuMjIJA+QCtiopKm3bWwnHAujpZSbNR6dHSbXsbhw8/XkUQBVZbYbBhsNY3Ilth9TVkW2WyE/nhRCDsGppMKnudz/3mTnuEgyyK3roQFFGGBSIcgCNhs6PhBQBCApodx8c8eVQkrNwK+eFpnbiJ3qH/9MIZsmn5h7Pzk0eMkvu/zdLWN58H0eDaKOwD9QpPkpcvriDk9u2NEx6Hbs/n8SQ3HDe/LT/yA2fEcG/UePcPh4VKLdFJCFEUer7TJZ1REUcTzQmHGbFolk1TwvIB620Q33SjO/dnjOuVCElEUIuGj1arG0maXB8+bUZ5Aq2vx5ZMaU6NZSvnEkW10VZFQ+8nauhnmB6WS8qXyzb+snIXdmLZLR7NJJuRTxYFjLi+H+eMgzB3bzh/7t3/8FAEBVZFoaRYffrbGtekiAKtbGoIgRPHuZ2ttZEmMiqcsx+Xes1BAIp9J0OyYSJKA64bCM1bNi57rBwHTY7lDBSaaXZNGx2J6FIq5JI2Oiev5lPNJBEHAdnxEMcy7kaSTrYWphIzrhfFHQYBv3D1cqf6Lp40ww5vQh7he119pZ+GYmJiXT7vdY2mrh+OGBeRP17r0eg7Z7OXaQ398bwPLDrsbPlzu8tWBM9Rl4ctndSzHxfMCNN3myWorygN90zj3zJj/6r/6r/jd3/1darUaf+tv/S3S6TS/8zu/w2/8xm/w5/7cn+O73/0us7Oz/P2///f59V//dXzf55vf/CZ/7a/9NQCy2Sy/+Zu/yd/7e38Pz/O4efMm//gf/2MgrNL+J//kn/D9738fy7IYGxvjv/lv/pvz/LgXCtt2+XcfLqL3k73rbYOv3p4451G9mN3FFZIo4vSDNYIg4Dg+rZ6FIAiIgoBhumi6HbaBs11+64eLGP0kk0bH5IO3xvZco9W16Oo2+YwaGbuSBLIk4HoBkgCeANudGjOplzuVNhs6lhOO2bI9Nhs6M2Ohs/nxSitqI1fvGAe2WA6CgJ7hkkkp/SCdg+P2WN7s0jMcNhs6cxM5VEXiztVy3Hb+grK82WW91gP6yRnXKkiSyFZTx+7fIxA6LoFIHe+kautd3ebjB9XovV3P41e+Mf/C1+2ep4oskUrI3LpSpqVZ0XgUWUSSBH742RrLm11006Wt2XzvW1fYbOgsTBcg9J0CRA4fCIO6uumwtNnlk4dVAD5/Wucvf2f+yElnR0U3Hb581ggPnQLcPIKioSAISJKI23eMiaLQT5qLeR2ptXR+50+XwntUgJ97b/pICQcvk45m7zwIwkSN0zjvZEnsFySE97EghPM4qUjU20Y0P30/oN4yTlXEoUgixsBjWTr+3Nm97h2nXXMQBFSbBq1e6CySJZF0UmFmLMuVyTy/9+Od3/o7707tKYSTJTEsollu4fsBK1tdxktpEqpMp2efKsDS1mzq7bB4s2eG9lunZ/PgeYMgCONNt+fLr8w5HPNyaHUtHi43IQiLkAgC1moaf/jxKo7nIwoChayKlE7geR5+EOB6HtJAQrYqhyrdgiBgOR6yKET2wfKmFjkdt52i592Z5YefrrO43gHCotS/8M35Y83bl4UsiUO2yEUYU8ybh2E6iITBS1EQWN7sUm0ZuJ7HH/40TIhe3ephWi5uEKBKIrYt0DP7nfT697DtetGetXvOf/xgiy+e1gG496zOX/rZa0fqrLV7j1biLk8xMScmm1YZK6fxfPA8j+XNLhD6eyRRxL0Sni17hkOjbTLaL6puaTuKlNvO7sQ+Ig6+H7C00cHrB1N1yyGdCG32dlfixkyRetskk1KQJQG7/zxZEhgUnDuJbe66ftThDmCrYfDtd6de+Lp6x+Th0k7yhySJ/Nz70/s+94efrvF0NVStFkWBa1P5SClPHWiHLgg7PpOYmItGQpEwbQ/LCW18y3ZpaRbZlIKqSriuz5OVNp1S6Ld+uNTCdj0Iwu6Zs+M5REFAlve/xzfqPZY2QnU51w+DfDu+Q4E/+ukqHz8IfWzr1R4/c2s87Ka7jz/r2VqbH3y61reTAyZGsuT759CDrg/hOLdta8vxaGtWVJS2zVFt7sHXiaKA1J/z4sDZJyYmJub+YgMIBW4uun9+uyB+abOL5Xh74iwxMRcNx/X54mk9ShCfHc8xObI3cSipyrx7YwTH9VFkkXuLDT66v0VXt8NOgf0uZGOldNiJUD343t/j9+8/rrdNev2cB9f1WauFIhNd3SboK0Z5/U6DgrATr9v2qYuigOv70Wc5Krrp0OiYpBLyPmM73przBx+tRsJ2j1aSjJdTkdhVEASXMq8j5nxxPD/Ko4FQ7fiTh1v89FEoXFpt6cyOZrG9sFPeRl2PCjdkUaStWWT6OSOyLCKKYUccz/NpaWH3b4Jw32ppFn/6xQYQ5jOMllIkVZmubrNW62G7Pms1kbevjaDIYVL4VlPH8wNGiynUA/a8hCLx7vWd9SPuaDGMabt88bQe+U0WZgoHCnvGxAAklGGf/2CHDEkUGGxJ5Tj+0Nn64VKDJyttAogKI7cFH+ROGI/c3kezhsNhpvfj5X7HC+CzJyJvX6tgmC4AG7UekijQ6z9uFiymRjI0OiYJRY58okfBsFxkSeTadAFBFNB0+9DnJxSJ7tDjON4RE/O64QdhV+BtO9tyPZLJc0+hPzZPV9tUW2FWVUe3MW0buFxFHK7rsVbt4XoBCUXiq+c9oHPk3O/A73//+3z/+9/f89//6//6vx56/Gu/9mv82q/92r7v8d3vfpfvfve7+/7tgw8+4F//6399+oG+hlTbZnTQB1jZ0vjq7XMc0BG5PV+h0THZahqMFFL8zO0JXC9gs64zVkrh+QGW5TJaDh09CESHvs26Tluz6JkusiiytNHZU8TR7IRJlxAmyb81V6KQTSBJEt/79lX+40crzE/naHZsuj2bn3t/ionKySpvmx2TlmaRSshD1XCGYfN7H69i2S5fvzOxx7EsigK66bBe60VJm6Io4Lo+7sz+SXiW7dHsmDS7FmLfGZVNhYG1rm7jej5m34BtdS38AKpNHUUWmRzJ7gmmxRwfz/P4g4/XaHVMbl0t99sBH49GZ0fVzrI9eqZLW7NYr/VwXI92v1OEIAp4rsdb80UmRzJDlfe6afPp4zo9w2G8nKKcT1HMJfjscQ3H87l7rUKxX8VuOd5QcYim76wZ2/h+qLhrOR4jxRSeFzBaTLPZNBCBK5P5KJk9k1JYrWkkVZkbs0XS/Y44za6JJIpRsLqp2ZQKKbJpla/dmuCLpzUUJWzL7PadEKIokEzI/cSWENv2+o7Zs01ebnWtnfasQagK8KIiDgjbPC6udfCDgLmJXDyPXmOWN7WdIqMgdFCedxHH7rakpymqALgykePP7m2STMjculrCtn1KuQQf3Bqj0xt2eBzkbD0q85N5nqy2cVwvaoV+XKZGMpi2i6Y7FHMJRg9R7N3N0kaXzYaOgEBCDRPhS7kEX397nIdLrei31g2b/89v3WNqNMOdayMkFYlcRmW8nA6T0QNwHI9m22KjplPIqnhB4YVFHJ4fdvJxvTBwNfhbVgoJChmVnuGSTEiMVdI0uyatroVhhSpInz+tMzmSYWrk9N1/tt87lZAZL6ffOAf5QbbaS79u/3s3LRdZFhGAp2sd/CBMzpQUEUmSUGWRescgk5BZ39L57tfn+Mm9TSRJ4Hvfmkc3XVJJiWQiRb1t0u1ZPF/vkE5K3O/bkNdmCgcmOO22SbeLiE/KtgJ4Lq3ucbIub+3s562uhWbYkT1ynqiKxNXJAmtVDUkSuDYdq9zFvHrmpwq0ejau6zEznsN0wuDF6laPatMgoUoosohm+AiCQCYpk88m6PTCBM98VqWlmTx43iCTVvn5D2aG9kXb8fjkURXNcMimVAzLY7N+NAXsSiGFpocJC5mUwvRYrEoV8/qhm6HwhSyJTI1kkM6wWKnWNvjjn64iiQLfvDvGyqZGtaUzORIqVC5taIiSwGghSbNrYjke2ZQ6VFSRTSnRWV0QONB2FoRQZW+zoZNOyuTTCpIk4XkBqaTMveeNKJBbyieotbp4ns871ytYjk+ra5FNK0yOHH+etzQzKuAAWNrskHmk0O3ZXJnMH6iK7TjekJiDYbkHXmNlc6cTpuf5JJMygR+ei27MFVnZ1MKz+XiOlmZFNkkhq0ZiGZMjmROdZYIgYL3ew7I9yvnkiZV7Y95Mtpo6mu6QTspYjsdYJcXyZgfLclEUCVkSqBRTpBIShhX6AZc2OsyO53i21sYPAq6M58imFARBIJdWmZvYu4fX2wafP6kRBKGitSyK5DIqzzfatDoWN2aLrGx1kaWw6852ssR+Cc9tzeLH9zbp9sUjXN9nrJwmoUiIksC1Q868uxOSE6qE5ApYjovt+MxN5I589ho897+zMILvBwTA3HjuTNfqmJiYy829xSYAt+b3F0C7SIwUkxSyKm3NZnGtzVsHiLbFXC4andDPl00pl0pB/ihohj1U9NDomCQTUuRPHtzTt88jEHYC7eo21aYeFmBPF2h0LEQRvnJrLPIJarrNZ4/DZPN3ro+QTYcdR0dLKe4/b5BUZd6+FsZaB22WTi/s+pFPq0yPZXm80qbbsykXknzrnXHuPWuhyAKKLOEFAZ8+rNIzbN5ZGCGdVHi+0SEIwg4ihwlcmJa7IwAHzIxlGS2lTnR28n2f1drOmabVNfngZoVay0IUBRIJiQfPm9HfL0teR8z5UsgmmBrJsNXQkSSRhek8P/h0DUUW8XyfiUoGURRQhTCB2uvH/OcmcjQ1i7Qq4bgenh/geqGtvl7r4fsCUyOZKF4kCkJULO64HglVQjccCtkECTWFIIQF5YVsAs2wKeWSPFtrU+9386s2dd5ZGDnQhh9cP754WqfZMZkey74w1mbYHv/xx0sYpsvP3B7jyuTr59vvaPaQ36TeNuMijleEabts1HUEgTOJx74qfuUbc/zrP3pKV7e5MVvkm3cn+cn9TRw34N3rI6iKxOpW6I+8OpXnWT/eDSCLEooS+gwUWUKSwkJN1/MpZFUM241yd+4WKvh+gDRQ0PiHH69wb7HB9Gh2aH91XZ/Hy02mR0P/YFd3MC0X3XYRANPxWKtqtLoWiizx9kKZdEKh09s/3ui4Pms1jSCAUt9Ht51D96Ki7q/fGee3friIbjm8d2OUkeLrZbvFxJwFmuFQbeqoisRk35a4TARigCxBP9SKLIW5hpdNyFGVRZodE8/3GSulCPzL9TsApFIypu1hWA5iLvlGC86fexFHzPlRyKhIkhAZ9ZeltZ4si/zCV2aH/ts37k6yUe+xuNYhmZAIgjD5K52UmRzJRNW/yaREvbOTjD3i7j3ADCWiBuHj7eDrnasV7lyt8Ps/WWZ1K3SktHoOuumSPmZVXqdnR8Ui22w7s/7Vf3zMajUMIC9tdPnbf/kO3axKt5+EUymk+PxJDc8LeLYWOpIqhSS24x2YJC6KAuu1XtTRQxAFxkppeoYTBs8EUPqHX0kSuL+443SybC9q4xxzcn73xyt8/GALgMerLTJJ+djOgnRSxrLD33BbjWZJswiCgOXNMOF3ajTDzblS5Ljcze/9eIVa02CzpZNQJL759gS//5N2VGW6XuvxV37hOqosUsgkGCunqTYNJDE8qO1meTNMdgZY3tIQhVD9e34iz8xYlqm+0vd6rcdmQ6eQSYCwk2CeUCSuTBSo9ruJOK7PdCUdBXzfmi/x1nwJCAtG1us9bMdjtBQGh4vZBI2+kwcBii8hWWJ7DTno8UHk0irvXH8zW329aewu6ilcgFZ7I8VQpUkzwr2jlD9dMvR6XQ+L/1Kho+PdGyORwyOphmtTp2eTTStMVE7n0Egm5APXsKMiSSI3Zksneu2gmvHCdJFb8+XIThps1frxwyqiINDVHVY2NX7jb30NWQ7Xh8F1YnEjtE96poPr+3zr7v7qwds8W2tH61qjY/Lu9ZGoxfTMeJ47Vyv0TIekKrMwXYw6agVBqFx0faYYtpLXnVN9j5ret1X6+4MfBEydIGnvsnKYrfay0U2Hrf7eCnBzrkQln2RlUyOpSvgBzE/kyKRkvL4yblOzWJgr8v3//FsALG102KjrzIzm6PQsai0D2w1odkzWqw70u+msbErwTkDYbmKYIZt0rcvf/qt3oyLg49LsmDxZCdWxay0DUWQomFAY2M9VWSJ9xL32VTBaSh1L2Scm5qwZK6f5+p1QXTEsZJb4wU9XaXQMHM/D6rnIksRoMc1IIYUgCnR6NtdnS3iux2atx/MNDdv1yCQt/viTVd67XkGSwr3lwfMmnh/QMxws22WikjmWLTNYtB0T87rhej73F5u4feVKw3K5OXcyG3M3nufxP//OA3r9AownKy2+/e40M2NZvL4C7MxYOLc0w6bRNiOFqMFCg9nxHLIsYtkelULqwPNqEASYthvZtYoiM9sv0Gz3LOSBypBna53obL3VNHj3+ihXp04eBMimVWR5p1Nlq2tFyViLGx1+9RtXGC3tPUOUCykmKmlaXRtFFvf1SWyTz6rU+spTiiJx60p5KCC8bcfvtkksx42KVzo9+0Rn+JUtLSoEqbUM3r5WeaMDDjFHp9o0WFwLu9EtbXYo51PIokhXd1AUEccLGMmnuHutQs90WdnSwm7Lpo2qSCSUsLBDt1zGymnevzG6b+JTsxve97rlRl07C7kESVWi1jIhCJOce6bLSCFJ13DCc//1vedJ3XR4sBTaDuuNHgIC6aSM6/q8daVE8gV2/Ox4Dt8PMO1QDEYSBe6ttEgoMgklPEsfVQTlNOf+mJiYN4cHS2EnjreuXPz1QhAEFmaKfHR/i8crcRHH60Bbs3jc9y9u26qvUyFHSpURBKL4ou8HQ/7kIGDfzhyeH9Dp2WGXANOnkElwY7bEOwsjQ7bEf/izpahgfatp8Fd+YQHH9Wh0TCr50Fe3Xg87blQKSVqaxcpml1bXZmpEYXG9QyalUOzbPdmUQjGb4i98qxhd45/99n1EUSQIAp6td/jiSW17+LS7Fu9cHzkwMa2rOzsCcIQKuLdOOG9FUSSXUun2FcITqsR4Oct0/0zY0e1LmdcRc77Iksg3704OCVM8WmrR7p8JRAH+6i9dp9GxWNvSaHRM9ITM0oZGKZdgYbZItWUwUc5Qb5loPYd3b4wgCALVpsHSZgdBCIu4Pd9ntapRa5n4QcCdG6MszBTYrOtRB27NcHj/xigA7YGcHNvxMW2PTOrw5MnPHlf5pN9FZHG9g6pIUcfx/fjf/uAxz/vXXtzo8H//T+9QyL5efv5U8mQ5DDGnw/cD7i82sJ2drrknEXA9D8qFFP+3v/x29Pjeswa5dOgD3Gzo/cKFnXmiKlLUcUpVRLqGg+2EHb8XZkqk+r43QYAPP1+POgA/WW3zFwb8Ez/5coP//Y+fhX9baTM/mR/aywavqcgCK1tGVCja7sftt+2Nnz6oRvHa/eKNj5abkf3Q6prMjGVZq/WQJeGFxV8tzeZG3/crigK2451avDIm5nXCdryhfFLb8V44ry4axYyKJIr4QrjGSKJIOn35fPlPVjvROlltmlj2XlHui06n2xcj7O8HnZ71gle8vsQW3BtMtq/A+aCvVPGVW2MvftEFJZWQuTpVCNsE9Q23kWKKm3OlIYMqIcvcmS+zVu+RUCSu7VOYkE0rbDaGH++m2d7phuC6Pm3NJJ08XlJjzxhePLWBx7XmcLeFZm/Y6aMZDp4X4AcB+YxKz3DIphVGCmEnkv3as/p+QC6jUFs3kEWRdFJmbiKPKAoUsipXJsN/F7MJEqo05HTqmZdvob+IbDV60b+DAFZr2rGLOK5OFVBkDcf1GC+HCpG5tEpHC7upCIJAQpH3/c08z+fpaouHS81QGSMI7y/b8am3Dcp9h6dle/R0GzWfRJFFvv3OJOv1HrIk7qvAPXjvmqaLLAmo/WTjwb9pxnCBVM9wyKXDjfj//EvX+N0/XcF0PL71zuSBRp4oCnucMV+9M4EkhknUCzOFl1INX8onmZ/M09JCtaTx18jJHnM2XJ0qYFgua9UelULy1AUIZ8VZJh4P7luuFzpUswMO1YPUcy8jubSKZYdBNUkSSCV2bIkrk3l0y2F5I3RObztEe6ZLS7MYKYaPJyppgiBgtapRzifRdBs78A7seDBIb6DrkeeFyS3bRRyVQopvvzsVrUeTIxmW+q2pO/1uTHL/uafdv3umG9lVsH83pteZw2y1l00qIVMpJMPARVJhZizL19+e4H/7g8c8W+9SyMj87PszPFlu8nCpheP6SJKINaBOPTjejmYjAKVcImpTfm26CIT2gWn7pJN7AyS1AZvXcsOubict4tj9/Wm6M+RU/cWvTPPR/SqO63N3oYJ6iMpdTMybxrXpAitb2lCHqufrHUzbp6RbVJsmjudSyKoUcyqBIFDKJylkVBodE9N2sd2wENz1AjqajWF7ZFMSnh9gWC63r5R5LLewHI/vvDt1ITrhxMRcBCzbiwo44GztAc2wh+y+esfC830kUUQSRUZHwnOnJAlk08rQHmyYbnSeFgThSIW2giAwUcnQ6YXJ37NjWXIZNVLTXNrsDtl+29iOj+16hyrQvoikKvNLPzPLF09rqLJEq2vQ0vqfPQg7kuxXxJFKhL4rx22RSSmHnjl+/oMpPrpfxXY93r42cuB4B39Dz/dpazZjpfC5huXi+cGxu2gO2t1BQF/s5fIFfmJePYP3jml7mJZLsxMqSxayKo7r4/g+CzNFXNdH021EUaCUS6KbDtNjWWptg8mRLAvThQOVa7fPNqOlNJIgoMgiN2aLrFV7Q/N+ZjRLIZuIbPJMeq9QyvKmxvO1Dkp/HLbjcWOmyEgxjW65LyzikCVxSCxoq6kPjWH3OSwmJibmNHR6Nhv1UCTj5mzxfAdzRK73izierLTOeygxZ8B+/sXLG43fSzIhc2O2xFZTD7uESiIrWzvdJMK44N4iju14W88IhYrGymluzg0Xg9q2S71tRuKLtuNhuz6mNdytb/s7FgSB6zNFUgmZdHJnDI2OyfjAWaPX7w4Q/b1tREKNQQBrNS3qoGE54XlQFfdP3sykhotYts9oJ+WXvjbLx/c38X1CEa0BNeD8a5TXEfNqSSeVobj79372GsqPFmlrNu/fGOX6TIlGx2SzrpNKKkzIIht1nWxawbZdeoaLWwjnwfacUGRpT/zxg5tjmJYbCjEWU5TzSXqGQz6jUsyFZ4xCNoHfN/6zKYVWN0zU8/yAxbU2CGEewG7hvG0G4xUQJm8fVsRRaxvRvx3Xp9o0X7sijlxaZWGmQL0dJtkf9n3EnB2O50cFHHC5z7GDOTyOu9cHWMgmon1zrBQKSNbbJlOjGd6aK7GyFYpHlXNJvnhSj/bETFLBtN3ovRY3OsMXDnxuzZdodW3mJ3NcmSywstXF9Xwq+STNrsXiWgdBCHP/DMtj23lgO8OdejVjON44+HvYjk+5kIyEZ1/E4Gv9fuwkLuKIidnBsNyhfNJXmT9xVvQsj/Fihno3tBMqhRSm6ZI8pnj7eRMEPrIk4AegyCJrdZ1bV897VMejnE+ST4c+8ERCOvV56jJzue6+mDPBdf3o0D89mn3lhnwQBATBcJsyv68gfBx2v8Z1ffJphU4v3CDSSXlPy7pMSmZyNBsFhseKew9p28ZdtWMwVkgPKW6H1/UZH0nzbLWD5/tkU8qJ1M0LWZWVrR3HzrbCYRAETI1leNZXYcukFUZKww6ulLqttBYefMv5JBOVTJi4eUCwzvcDNN0h1w/6G6aLJApcmchH90T0/56PIotRxV7hJXQ2eBO5MlmI1KwlSYg6TRwHWRKZ36VyO1nJoMgihuUiSiCJw90ogv5NtrKl0ezaZFIy9bZF0C/sURWRqdEshukSEKq35NJqNMeyaZUbh2yUxVwiOszkMgrCgJL34DjymQTNTuiMEYRhlZhMMsFf+YVreB7HblGmyiLfuDsZPR5cG7b/7bo+ohgq2RyE7wds51YL+yRZj5XTByoknWQNi3n9uHO1ws3Z0p57eHDfPSmH3WOD++rLvBeLuQTVpoEfBKRUmZR6eofFWXw3R2V7jg/O74O+r/nJPElVwnF9RkupqIDCcRwcB27PV7g9X+GLZw3Wqj2CIKBSSA6teYIgMDWapZRL8iefr0cBqP3Wl0Fc16eYS0QdjlRF3KOcs3s9KmYTlHI718/0D5iFA9S4jvq959IKoijgOB6SJB7oOH9dOchWexUUc0kqhRRBEN632ZSCabr8lV+4Hj3HdX0s20O5v4XjeSiSSCmXxHGc/nskosKbSjFJzwr/LYpClAAZBAHFXOLAjnLTo1meroZK1fvZpMehkE2wXt9JEtttX6aTKj/7/uFdas6TV7lexcTsRhSEPWeA92+OUW8bpFQBy3YYrxQQBYFyPsnCbIEvn9Tx/QBZFJgYybDVNOgZoar3WDEVJYNLokAuHSo93pgpUsglmD8n1Zz99uVtZ3Bsa8ecF8mETEKVoo6YpTOyh1zXp5ANkxrq/aSC6dEMkijiOC6qKjMxkiGpSIgi1FpmtK+LokBuHztvcK/az2eWTSsUsgkyKQVREBgrp4e6jKUSMs1+V9tW14qSKVJJOezgOoDv+/2xiHuufRDj5TTj5TkAPntSo/WwCoT+kckDup1phkOra0W+upVNjeuzxX0/61FtiUGbRBJFxgaSTnJp9dgFHBDaidvdDUI/SlzAcdE5T9tu+wzv+wGZlIwfBIiCQDapkEpIjJXSJBQRSRSQVImvvDXGyP+fvf9qkitP0zyx39GuZXhoCQ0kgNSZlVmqq7q6q3ume8SOWK4ZbY00mvFijd+FRl6SvODV0Li05WwPZ1rMtKzukqkFNBBaupZHC14c9xPhIYAAEolEZPpzAwTg4rjH+av3fUQ2jmU7zJaS+EF4j2pKimxa4+pinnRCO/J5Ds4D2ZTGdrWHhEAxF+fiXI58OobvB0OOzudms1xdHDalOPhdmZZLtaljuz6+75NLaUyXkuTTsVBwFn/6ez+TUKN6xuBaXwRG+/sRRvhuYJCAMD2WJHVGyAAXZsPz2MORiONbgUxKQ6h09+uL38L6ai6tRZ+rq9tDooaT1vViNs6luTy+7yPLEtfPF4mp8tD+RZIELNvFtkOipq1KyOJ+/9+yXURRjPYfA+JVNqmyJfT3QoLAdClMEIB+b/LQNc1OpLm31gDC1z43ncGw/ejnw1yDg4ipMlcWC1SbBnFNfmoDuMHnHfyZSaj8+I25/v+F+62Dfc2DvI6D5LkRRjgOg56Y5wVD+964KvGnPzw/tB8uZGJcO1dgu9JjdbtFIiYjEKDJIkpai8ZBIiafyEWRZZH3b04TjylDe3tJEjD7NRWBsNfhuqFQfbfWw/V8KnU9NBUD7q83eOPKePQ+A56DIAjMjafY6gvFBCGsozwOc6UUdw+M78ljkoG+DShm40ME9hG+fqiySDwmY/Tv26c5x74svJLBdeTSGrV+WlgyrqLK0hFuzWC+EEWR1y8PiwgPJnRPFJOIfcPhsVx8aG2/sljgg9t7DJavq+eKvHV1cmguWprO4vsBvu/T0Z2odymJIgtTCeptE02RWJxM09KdsN8oHO3fZlMa1WbIy0onY0fqmo/7PrIpFaNvmCfL4rEmLYfrCS/L73SEs4OzfM8kYspQ4vaL5E88L+RSMeYm0yhKOCHNTmTOnIADQjPqruHimA5yTOb8GTGuOIgLc3nauoNhOmTT2rEpjt8VnL07cIRnhm7a/LffbdDp2RSzcX7/nXnUr9CosB2PrUoX3w+YKaWe6LIF+9HtfhAwO56ilEtwb62O3ncQvDSfO9ExbADP87m3HsafJeMKl+bzfPmoyq2VGqIgcHkhz/RYilI+foQoqcgS15YK1NsmqiwNRbINUG+a/N//7AvqbYuxXIz/6V/fIJUKRRr3Vht8eHeXdtei3jHRtNC54EluhI7rEwTBkEI3EVO4tlSk1bVIxJSIsLm+22ZhMk0mqaLIIm9dHT9ClJUkEd1y+Ox+FVkWeOPKePiZj/k8AL/4ZJPlrRa1lsHCZAZVldFNl3/6dJPl7Tae59Hs2pRyCcZycX769jzXzhWptQwUSXpuLu7fdfzwtRkySYVKw+DKYoHJ4lcTUNmuz99+sE61aZBOqkwW43xyt4okCfzkzbDIV27oUUwogBcEXFkosFfXqTbDCMJ//GybuYkUG+UuiZjMtXMF7q03ooSXy/P5x47LmVKKWJ/UUsjE8IOAZscirsnkMzGCIODRVot6y8R2XKZLaSaLCRIxJZqX7q83WNtuE9MkFqeyvH9zmovzuadWWa7vttmt6WFxSAgJb+WGTqNjosgS3785fcS5Uzcd7q83qDQMDMtlspjk3Ez22PnhMBzXj+aw03xXI3x7cXg8/sE7c4iiyF//bp1mxyKf1vj9d+af2r02CIL+/G2iKiKX5vNDxYJG2+TRVgvX83FdH1WRiMdkrizkI+HB80I+rbG83cJxfcbnEl/5Xv/g9i731htIosCl+TzZpEYxFzsinnwe2K522Sx3EQWB87NZ8ukYG3udMGVIFI/MN6IoHHHk+JvfrvG//uIRXhDw5pUJ/g//4jr/9vcv82f/8JAgCPiT9xaR5f3fr+cHrGy3aLRN5kppbNdDkgQWJoZJuBDubVw/4Ldf7rC+20FTRW5eGCedDFO2TiqKD5BNaVxZLNDVbS4t5DEtD0GA8UNuxs2Oyd9+sIFuucyUUvz4jZnHittUWWKv3mN9t0MmpXF5If/Y6/i24bi92otCOqHgBwHblS6O6/O3H2ywW9dJxxV+761ZKk0T1/OJSSKPtlq0uxYCAstbTf6v/7NHKq7wJz86xw9uzkTr8/XzY6zvdsilNWbG0/zysy2qDZ3xXJxW1zq2yPzf/d55fv3FDj3T5XvXJ76SeCuTVLm6WKDTs0kl1CEx58uOj++Vub1SQ5bEY/cSI4zwdcHzfO6vN+noNomYzOWFAoos4vsBuumwuddlZacdrhNBD0mSWNlu84+fbtHp2eHz4gqLk1leu1hkZadNKZfgf/iDi0PvM1NK8me/2KNn2CxMZ44VpX6dcFyPe2uNI3WB2ys1PuuTvF+7VOLqGYmkH+HbBUkUuLZUoNI0kCXxxLrLaWHaLn/zu3Ua/TPCT16b5hdf7CAIAm9cLvEf//4RzY7FZDGJ7wc82GwiiQLv3Zji4lwOw3LJpbUhkW+tZfD3H21gWB5zEynmJzNUGgaKLJJNaXx4dw/b9jg3kyGbirG+2yEdV0jGFVZ32riez2QxOeSsN5aNU2ka+H5wpL52f73Bb7/cAeDG+TE2K12aHYtCNsbbV8bZbRiIgsDCVOZEQveN82OR6+b8ZPrE9B/H8YZ+3ql2+fhuGdv1+kmccRptC02RuLyQP1Vt8uCeJBlXSMWVMNkXjk0DOQ0mi2FSqmm55DOxr5RaMsLXj3/6dIvVnTaaKvGTN2e/lkTXk9DsWDzcbHJ/vc7t1TqdnkU+FeP8bBbXC9it6yxMpvnf/+k1/umzcJzV2yb/tz/7gjvLNTRF4vXLJf7g3UXGcnHWdtr85W/W8PyAV5aKvH55nE7P5hefbNIzHebG03zvxhTphMqFmSy/u73Hbq3HdqXLzQslLszl+IN35tnY65LPaCweSAy2XZ+/+3CdSsMgnVD58RszuH6ALImoskC16ZBJqdw4XwRCIemzuFPGNJlrS4WhWiKE9brtag9JFJgdTz+WQPk0MG33K9dqRhhhhLOD+xshcfPi3NmpaQ3SitZ3O9iON3L+PeNIxRWuLhVpdy2SceVba5p3sA8YEFDKxclnTq71x1Qp7PX3bM7P5bBsl9vLdVzfZ6qYxHF9fv35NpWGEdZAVQkQ+OBOmYtzOXqmwxcPq1SbBrmUwup2l4CwD//j12ewvYAgCJjIJ5ifSDOWjYeJACntyBnlT3+wxFQhSde0ef3SOLl0jHJDJwg4lmswwMp2i3K/15pOqmST4XnqsCHTcegaYV+y3bXQLbdvFiBQyseZHkuyttvm47tlAN6+Nsml+eE5bGW7FZ35Li/kRymAIxzBdrXL/bUGnz+sktBkFqez/N4bs8iySKWh8/cfb2LZHotTGb7/6jSPNlvcW6vzxcMqHd2iazhUW2bUv/vh67Ocm84wNZY6cUy0uhZ/8+EGna5NMiHz/ZvTWLbH5m6Xtb02lYaOaXv82S8eMVNK8caV8ciksdIw8HyfnUoX3XSRJIGbF8ZodKyI57A0neXCXNj7rLdNZsdTTzzL/ckPlpg8ML6fNWV8hBEOQxAEri4WqDQMRFE4Vb1wMPe7rs94IXHEtOlFYcCNGSRUCMCXyzVcN+DdG5P89tYOH9zZQ5FF/vCdedZ2O2xXeiTiCj99c/axCd4Lk2nurFYBePVSibXdNns1HVkSuTSf43/7x1f54mGVpdksVxcK/H///iG64TBZTPL65RKrO208P6CUi5GMyVQbBoIoMF1SKGbjdHphgtfcZIZpPzix37hb7/GffrGM5/n88LVpbpwfO/Gabcfj3noDw3TJJFUu9rkYtuuF7vy2y721cB6an8xw61GVR1stVFXiBzenafds2j2beEzm8nx+tHcf4bHw/IAH643onvk6OD1fNxRZfCLv9izA8VxWdkKx11TpbPb9hSCg0zf+6uo2xfTZ+12oqkStadDsWoiigHrGxsPzxKg6/R3C5w9rdPqRo7WWwb3VGjculKL/7xkOgsCRg77r+RhWGHN2sFlyb60RKVDbPZvXLpWe6C69ut2OlPebe10M00Hvq5M7uk25YTxRVbVX1yP3wZ7h8HCjwa3lGgB+EEYtvnll4sTnx1SZ6bGTyfN//psV6v20gGrT5C9+u86/+/1LuK7Ph3d3wyjVmo7jeMxNZFjf7VBt6iceEst1PYyGC2BqLDlE+oqpEn5SJaZKuJ7PWv9xgiAylkvw1tXjP0ejHYphBs5+67sd3rh89LGu5/Nwo8HqdkjskSWJassgn46RTqp88ahGR7dxPZ9mx0ZTwilhcG887nsa4dnw6sVnj7c9PBbvrdao9okGjZbJ3dUaM/3NxYd39zg3k2Vtpx053jS7JrWmiecHuJ5PPCbjGy6+7fHRnTJjuThxVeZ3X+5x/VyRmCbT1R326voT4wUPuzscnEeaHYt6P95UVWRcz4/+/7P7VTo9mwfrDSzbo2sK9AyHC3N5VEXk+oED1eDzCwfe46A6WTedKBp9r65juWFc663lGoVMDAGBD27tHiFebpa7mJYXud6nEgor2y2K2dgT57Sdajeaw7q6w15DH42b7ygOjsdOz+6L7ERqLRPX86i1A+6s1I+4UzwJra5NrT9+bMdnY6/D5YVC9P8rO20M06Hesej07DAS2XTZrvZYmHy+xZ+13U6U5lSu66QTIan9WQ6WtZYRuVvVWia//Gyb712fot4xuX6u+FybDrbjsbkXOvOE+4Q22oLETjU8lLmez+pO+7EFHID/8utV7L6jwAe3d/m9N2ZpdCzeuTYJQKVjMe/5kbhlu9INm1ZBQECY1JFJasyMD88R7Z7N/fUGe7UeDzabFDMxLNtndafFz7+3eOrPmUkeKFKdcM78+F4Zvb9326p0Wd3pcG7mZLf1R5stGm2LdEIl8AM+vV+OnMC+K0j2CY4vGtvVHqIgYDseOzWd5a0WkiwiSQL/y9895HvXpxCAv/18M0rSsl0fu22hyCKm6PFffrHCv/xhmNzRMxzimhzNQabtkowpJPskrdXtNq9eKh25jmbXRlNlVEWm3ra/ctR4OqGeuRjMZsfkdv+s4bo+H9zZO3MiDt10CAK+kXt5hK+GvYZORw/P8LrpslvrMV5IcHelzl/8aoXVvQ6SECYmbVa65NIara6DbjrYrocfEDZLKx28wOf6uXCtu7fR4q1r++P5y+VamPqTUKk1Te6tN3jl3IsTTOxUe0fqAumkyq3lGl6/fvDlco35yczoPh7hG4EiS8/tnPfloyqNfsJFrW3ywX07Gpt//ssVeqaDJAmUGz3+8y+XuTxfwPMCPri9x7/7/UscRz/86O4ehhWKHR5utOjoDuP5BE6fgK31ycm3luvMT6QpZsNm62++3CGbDElkra7FzQulqO4nisKQi+zgPK7KIn/30UaU0rGy02JxKkwCqjYN/vajzfBMAjzcaPDapZPPP0unSP3JJNV9Z0Mh3MO6/cSALx/VWJzKkE1pWI7HZrnLzHgKzw9IxuTHnucP70kmT0gCeRoUTpnS6/sBPdNBVaRTOQGO8HyxuddhtU8CsmyPD++U+aP3Fl/Y+6/uhALse2sNyjUDUQznAmPZY3Y8THKstUwM0+PKQoHNcodOz+bju3tIoogkiXzyoMJP317Adjx+d3s3StG4tVzj/FyOj+/tRfPMo60WU6UUcxNpdmo6nZ6NLInopsujrRaFbCg6urpUOCJkeNA3PIHQJObPfrHMlYU829UeluOTTqqUcgl6pvtEcnQQBPQMB1kSjxVbJWLKUB3A83zurjZwvfAMbtkeVxYLR573LPjiYTWawxod65lqNSOMMMLZwYP1JgAX53Pf6HU8DUq5OJmkSrtns7rTPkLeHuHsIdUXDn+bcbAPKCDgekGU+nmYXwDw0d0yApBOqpTrOr+9tRe5+O5Ue9xbbxAEAZ7vYzoe8ZiM64eGiZ/eL/fTsaGjO+zVe3R0B1EU0BSJv/lwg6mx0HzOtFzG8nEuzuVPFNBIksS7N6aG/u1J54NW16LSMOgaDo2OheV4xFSZzXLnVKKx9d02rutTbhjYjkejY2LbPl0jRaNlcmetjtg/z3xwe5cLs9nIjGnw3hAaza3vdp7bPuk0GBiLKKPzzEsLq98Tu7tWp6s72I7Hbq3H8naLS/N5PrpbjtJGV3fa5NMaPdPlwWYL3XRp66GYWhZFAgkebrZ44/I4vs9jDcc+vlem07XxfB/ddKk0DEzbo9zQqbct9uoGrY6J2z8TO55PMRsjlVAZz8e5s9o3TYwreF7AZrkbGi70eQ6D3v3CVGbI+f9xOG58jzDC84IsiU/lGD6Y+yHssxezsW+kX7ZZ7mI74XXUWyZ3VupIooCohlyaWstEFAUM4P/z1w+Y7ffDdMPhk/sVfvDqDKbtEteGk3lc1+eT+2XG8+F38vHdMlcX8oiiiOv5LG+3EASB87M5FFnkg9u7dLoWrh8a2lm2G5mr7FbDdJ4BH67VtUkn7Kimub7X4cpC4cTv769+vYYoCIiyxG++3OP3Xp+nkNuv23n9tUxTQr7AIFGl3bOpNPRoHxAEAV8+qkZ1l9/d2mGn2kMQBGzb4+8/3uRCX4BtmC471d6p56cRvpuoNHTafd6uYbpsV87mPfMk3u3LjmrD4ON7VQabjN9+uYdpmsRiz99s9uvE7bVm9HfbDfgPf3mL/+N/9/o3d0HPgM/vV/D88OzY6to82GwcSYn+rmAk4vgO42DK5upOm3KfwDxZTDDfJ36alsvt1XoYByaJXF0qENdkgiCIBBwQFglcz38ikfNwsOfhpM/gyCOejCe95vPE4KUHsffRvz/mPdf3OtETd6o9JosJFFnCcT1uL9exHA9RFMKI5FNeu3/oDXuGS6NjkktpUZPacjxuL9fYqnTZq+uM5WIUMhqphMJYLoGmSKxthwT/wcsFj/sgI3yjOG4sHkQAh+7JIPr3AQaunI4bUGnq7Nb0SBDhR48PR6H3dQ6kY+D5AY7vI4TnRaqNHjPj+4fewf1ca5mUGzpz4ymKuThXFgqRkGPo8xNAcOB7OPD5DuPIff9VPvpoCI3QR0AouijXdfwgjEO8NO8+8XlHXyc49PMwai2DvZpOV7exXf9URKivCs/zWd/r4Lge8ZjClYU8qa9QZHJdP8w9BgjAsNyv1Tnq2GF6irFr2R5W3wlYOi7eMhh+mQHZRBAEZkopcmmN2fE0ghA6qaYTCoossVXuRgJXy/bCppQqP3Zv8azw/UM/B/7xDzzp+aM57sUh2P/Dsj28IEDsFxUt22e3nyJjH4ghFw49fbC2H9znR4LiU+7BN/Y60b1YaRhMFpOncpP7VuOMDYSNvU4kWivl4y9knRjh60MQBOzWetTaBvWeiWk6uF6AIgl9MVd4f/p+2FT3g3Dddjx/aM/bMZyh1z18vjz889eNw+8W7uWP2be/mMsZYYSvFYdv7YPjzXF9erpNgECAT1yVQyMDIXQkOu1rHlzXj46vfZiWR7Z/7Pa8ANvxjnW6H5zHHdcn8APqLSMiEPUMNzzvCAJBEBz5PF8VkiRybalIV7dR+43VgUFN+H77j622dOrtkDiWS2svJeHR8wPurNTQzfD3emEu97UkEY5wMo6MiRe8uATB0RrecfCC/pxgOrgH1vGAgJ7hcXelRjKhYh9Kq4GjY8+0HW4v11jZabFd7ZKMK8RUGT/webDRQEAAAc7PZIdMWg6O53bPjsxO0gmFmCqRiitopzi7BkHAg41mJJxYnMowXni8Y67leNGZGqBnOo959FfDaH8xwgjfXgRBECVxXDpDSRyCIHBhNsfH98o82my+lHuaEUY4jMPrqeN6fPGwiuP6SFLoVj5c83/cSSXch9i2h6JIKJLEWCZOok/kHNS4D/bsHS8IN1CALIbGiZ4v4noBlYbxtaXx7PcgGfrzadFomfRMFwjoJG08P0CU9qu9vg8nBWq/yP2s5wfcXa1HxqAXZnNRitoILxe2q12qTZN2z45I0IN20NG6xP7fD/MDDtYTH3er+f1awUa5gyKLyJIQnUui80wQYDk+Qr+/tlvr8he/XiGfjjNZTHJ+JoOmSFH/YbRPH+HbhiP1u2/oJj/MjWnrVmSw5AcBvu8jimEd0vGGaw627fH5wwqeF6DIIq+cK56cPHHofZodKzKPcFyf3arOXj/5SpZEMulhrsFEPo7nB30KweONV58E1/dotE0kSSQRk7m9UsO0Qp7e41J9w/7K/ufw/LDqOriaw9/laN4a4Wkxume+GTiuj+f70S/A830876v3Ml40Dq8jlnP2PsPhfvR3mbb8fDKoRzgTuH6uGB3ScmmNqwthwcL1/IjYBbBb1yMyYaVpRGpg1/OpNMLHCYJALr3vWJHqExGfhMWpTMTTnC4lWZjMENPC5yXjCuP54xs4tZbBbq2H04+WS8TCjVRck7k4l+Ny/7P4QajYv71SixxLD77GFw8rbFW6j73GP/rePJmEQkBAPq3yB+/OAyDLIm9cHgcBpsdSzIwnEQWBczNZSvkEPcNht9aje+h9xYPOfwKRyKLWMiMyqO8H1Fpm5OorCDzWQb2YjTM3kWavobO22yaXUnmw3uThZnP/8zYNHNdnLBsjn9HoGS6aIvP+zRmWpjO0uhZj+TipuMJUMcFYPk46oZBPa1weFYVfOhw3Fi/P5/sRu5BNa/z4jVkgvH/evDJBu2eT0GQsJyRVzJRSqIpMx7AxrfDf2rqNIAhcP19EUyUSMYXr5wpR5FkiJjNeSBAEARt7Hb58VGVtt/1Ugp9cWovmC1kWme270NuOx0QxTtewySRVBELFbjGrIYgC8xP7yt1q/35udEx8P6DZs+nqTjTO622D9b02ft+Zp5RLMF1KkoqrXJrPE9dkJEngjWNSembH06iqRKk/HlIJhYWpzBNTOCB04xnMYYPvaoTvJi7P50nGZLq6jSQJXL8wRikfQ+uTrWKKRCn79A72uZRGPrM/fubGh93fZVGMUrSS8XDtimkSU8/BSfYwJgtJtqtd7q7XEQTQVBnfD9g9sIc4LYrZOBfmcgAk43IoZCQs0jxv1xFVkZguhd9HuL6mScQUMimVtd0We7Ues+OpJ5LMblwo4Hk+tusxU0oyXUqxMNnf1wgwN5FGlkQ8P6Bc1xGEfW2KqkgsTWexHY8vl2s83Gjy5aMatuNFzZdiNsZYNo4IqLL0zE6gg/evNIxoPzfA65dL0T05XoizOPl4Mvf52Wy0HsQ1idePSWoY4evB1FgSTZVCp1pVIpNSQxK2D0vTaXTTod4xmZ9Kh2LGAFRFJJOUkUQBRRb40RszQ/v8rm7z6y+2WdtpoyoSqirS7FgEnLzvFA8Jlk6xNH7rkEvHuNifryRJ4I2rZ8elNwgCdmq96OdKw3guhNoRXhzG8/tn35gmMVkMz6Cr221kRGRRDMnTkkgmqSJLApmkQkwT98erANm4ypV+kpfQP8MexM2LJRLx/VpBIR2j2jRemMh/6sCeelAXSCVUrizkEUUBUQwJH99259IRvht45dwY6X56Wjal8f2b05Ea870bk1EzM5PQmB/PsFPtsVvrMV1M0Opa7NZ6mJYbNjtrPWotgzcuj0cij6WZDFf7412SBH70xixyX5hxZTEfjX9ZFrk4l6Xds2h0TGT5eHd82D+PQ3idpXwyEpDevFDE9wPKjXD/++rF/XS7yWKSVtdis9xBNx1M2+XWco2HGw38w+rix0ASBbIpjbgm8+blcaQ+menqUoHFqfB8pMjiUIG/2bGGzGdeFrS6+43xIAidBUd4sZgpJaN0RFWWeOPKi93bDdJjzs9kKOZiKLLIWC7Ou1cnyKU0uoaNJAokYxI79S6O69PuOVxdKoYiqwAuz+eIxxS6uk0yLvdJigHjhQSO43HjfDEa94VMjExCw7Bcipk4hUwMw/SIaVJYh4/Yj0TptgNcXihQ6LtcJmIyi/0UP0UWsR2PeidMAZw9lDa5Xe3y4Z09Pri9S7tno5tuJOAY/D+E9XD3hAZpTJWJx/bnpNMm3ZwGr5zbd+tMJ1WuLb045+oRRhjhxaLaNGl2LERRYGnmbLmbnu/XSh9utr7hKxlhhNMhf6AP6AcBXcOh2Q3X/57ucGu5RveAocRrl0rRGWaymOTtqxNRHXK8kGB+IkWzY+I4PggBkiyS7a/fs+MpxnIxMgmFdDKsIcQUkYQmIYsiS30ieDKuoCoiE4Wvlix8HDJJlUI/QSAeC53ILcc7si86CXMTaSRJoJSLk02piKJAMq4gSSK7tR7ZhIoX+CDA65fHo71d9N79vZEsicxNvrjE4HbXotf/PQYBQ3XHEb5eOG4ohNDNkI9ymAczgO8HrG61qDYNkrEwBUcUBMZycc7Phj2q2fFktA+fGU/xyrkiubTGhdks2ZRKKqEyPZaIaotLU2lmxtMnJg60uha/+nybru5gmA666ZKMK0yXkozl4uQzMQppjZnxNIWMhiqL5NIxAh9S8XBc71S7OG6A1O+xGZaLNjhr9AsQYT/uO9igGOFbg/nJdFTTGusnr30TmJtIR+tKLq0xVUhQaxlUGjrj2QRzU+lwvjdtfvTaNKV8uI5qqsRkMRGJGhzXp9o0oteVZTHsbffH7FvXJskktbAXX+8xUxpeI4v5GGr/OhIxmSvzhX7Clcl4McH5uVyU2nltqTC09s2OP37t+/235xi0N9+6Ok61ZfJgo8nd1Tq3lkMBB4RzpkAQ9c6TcYVSbn/fIInCEP/n8kKBc9P7tdUfvj4TJYdrqvRUySxPC98Phal7df1Mks1HCFHKxV/YPTPCyRjLxcgkFfwgFGvlU9qZS+EAyCaGe6Y/f2/pG7qSZ8fNC2OIQshjSSdULpwhA47nje+4jep3C6mEyr/68QVM2x2KRxeFkBQxIPo1WibLW03mp7JHHPgOCjWWpjLccxr4QcC5mdyprqGQiZG7MkEQhIcwgJsXSrief2L84tpum71+E2mvrnP9/BjXz48NPefta5O8emGML5druF5AV3e4v97gtUvjSKJAtanz3363Hm0o3785fYS4MkA2FePn7y+yXe0yW0pHh0eAa0vFaMIQAd/3UdWQtHtntR42jIWQzDuIZT0/m+XRVosgCCKCZ/hdHv5uw7i9wSbwWJfvPmzXp9Y2yac09myXWtuklE/QaFvR9zLYeIuiyM0LJcZyMRanMoiiyMPNJjFVYjwf58pCngtzOTRFwnb9oXtjhJcHx41FVZX55z84h2m7qLKIKIq8eXkcURSptgzurzdodExqLZP5yTSzpRTNrkW7ayGKIVE6m1S4OJdjYSpHPq3hej7ZfqLLwTFWbuiRi7Nuuqjy6TeUgiBwaT6P6/lIooAghO4bt5ZrbJa7tLoWS1MZYqrM7FiKVy4USCU1sqn9TZIiifRMh04vdKAZRCUqcljQ/N3tXdrdsNF9YS7H61dDYofnB7zzyiS27SKK4lChc4BkXOH1S6W+kj8cd48bfwehKtIT57ARvhtwvIDZiTSlQgJFEvFcn3RC43vXp7BdF1WWST6DOEEQBC7ODY+fgyhkYyRiofOlJAncuDB26nnctMM4Y1kSmSgkjpC1D6PWDl34k5pCuamHyUCyeKxb7+NQaeg0OhbXzxV541IJURTpGiGpK5+JnezYcQIaHZMgCAUvJ32G2fE0U8UkQn/PY9sut1fqGJZHq2vz579e4eJsnnxG48Js7thCcDqpcXWhgO8HZDMaBAGlfDwitQzmjXv9iGoI55e5iTSJfiNndacdkWQc16fZtZifzPBgo4HtCPzs3XkmColoTn9aBEEw9P7NrjnkMlbMxvk3P7lw6vVelkX+6L3FoXVmhOcLx/Vo92w0RRpKtAnXlzFsx2N+Is33rk9xZ7XGZrmNqsi4rkfPtOgZAbm0RnEmy49enyWf1RhLqaQSMcYKCXw/TALq6BYf368Q+AG24zOej5NLx8gkVVJx5UTHtKXpLI82m7hewOx46tj7ptW12OtHPxefQaz2otAzHOptE02VThSOn4R3r0/xen++Om4v8bJCEARkSYyEwAMy/AhnB7IkHjn7blU6fHy3jOt7KIpIUdMoFRI0OiGRcyIfD5uhKQ1FFskmNL53c4r3bk6zV+uRS8cigd4AmYTKv/rROUzb49FWKzI+6Oj2M6W3hIRTC1WRTiXOPGlPfeNCict9MvrT7g9GGOFlRSIm8y9/dH6oNjc3EZIKtytdkjEF0/VRRJGHmy3mJ9OIAmxWuqhK+Ph1OgjCvivRRDHBvz20xzt4fjg3lcX1j/7f2m4HQRD6vdWTRVvKgXEpCALv35yi23MICMikVDo9B9v1UGWJsVyC+QkZURRo9Wz+l7+7T6fnMJaLIctSSMIiJIv/4LWZp/7+ZifS/LufXoo+T71lYJguubRGxxAx+gIJQQBZevnWvONqgSO8WIiiyE/enPvGzjj5TIw3UlpYh/J8bNdHVUQUWeLeap1P+hHyf//xFoWMxtXFAqIgUMzGmCqlaXZMtspd2j2L3ZpONq1xeaFAQIAsijzabDFeSPCvfnwe3XTJprTIcEiRRS7Nh+feczO50GTgUS26tsNjRpVF/tn7S5i2i+N4LG+1MSyX5a02ihwKSZ1iYshVu9Exub/WYLPShSCsJ777ylRI4uhPM4os0epaPNho4nk+miqxMJUhn45Raxn0DIdcOsbVxQL1lokkCU8UcQyMlaZLSRKxx+89EjGVf/nj80d6JCOMMMK3Dw/6KRwLk+kzN94vzOYAhozbRhjhZcagD9jRbe6u1ml2wnphNqXS6toUsjGClRpXFgpkkipjuaNnmDdSsYg/UG7o/ODVaT69X6Xa1HEcD00RiWsy7Z5NIRNnbjzF1cUi9Y7B0oxOKq4wno+RTsSQZZGObpFNxliYevq6xupOC9+H+QNE18Of98JsjqmxJLIk4rgeoiDQ1R0c16fVtUgl1BP3MOmEyhuXx8PEDUHgswcVai2TWytVdMslaagUMnH+4N35I/OXIIR90JN6Rl8nDp9fRn3Rrx++H3B/vUG7Z+MHft/9PqyRXZw7moSyXe1Sa5vENBlVkXjlXCjMfuvqFK7nc3u5hu34XFnIU8rFOd/vH12aD00ffv7uArrp8LcfbbJb7aJIIsV8nKliaGiqSOJQfbneNrm1XGNtp03XcDg3k0FRJK4sFImpMlNjKeYn09iOR0e32a33qNZ1YjGZla02Az/7Ztei3NCJawqVhs5YLs5WpUcqofBm36DxtL37lwFd3Wa31iOd1JgYGUCO0MfBuV+WRIIgiIzW8mnthc3nidg+N0aWRP7iVytYjkfgB2zXOlyezzNdSiFLIqIk8fM3Z6Mayna1x3ZlX8B3eI08yKfzfZ8//6cVDMvDsDxqLYN8JkazY5GMKxQyMUQBWl2byUIS2/H6nAeJnuGwOJVlIp+IevulfOLUa99P35rn/evTuK6LKEtDtY9W1xpaWxMxhcWpTPR9HMbiVCbqp6Ti4WPfujaBfKBf+CLW5OWtVpRAXG0aXFsqjIRtZxCSFCbYfBP7uBH2IYoCcn9fIQCSSMRhPkuYKiUJKh28ABKaMpQcdFbg+QHnZrO4XkBMDTkw6ne0Z3K2qlYjPBccPuyLosDFuRzrux3urtdpdy0qTYM7q3V+/u4ihuXS7tqkk+rQIePhZityj3uw3uD6+eKpFpjwYDf8uMcd8st1nXtrdRzPZ248jTHjsFXusV3rMlFIcG2pCICqyrgHHKc9L4x6k0SJzXJ3aLLa2GsfEXHYtsfff7LJ/bU6lZaBIomsbnXIpTTO9wumwNBkEQQC29UuK9ttLMsNyXcBNDpWJOLIprQwweMQitl46ETStkjE5Uh5fJoDaKNtohsOqiIhyxK1pgkL4SZ58PxSLo5uurQ6FsmEwsJUNjpUN9omWv8+MCyvv/EVianfzYnwLGA8nzhxLB4c02r/782ORRCEamwA03LZrvV468oEm+UuG3sd6m2ThCazVdFZ3enyveuTQ6rGg+PSsg9FJTrDP5+EasvgF59sAvCDV6fZqerU2yb5tNZX5+uYtsdOrYfvB2w3eqgbEv/+ZxeHXkdVRLq6g6ZK9AyXZExhvu+mv7rTpqc7WLbLXl2n2bVYmEwzXkhGDWj1CU2akOT47BvkUaFyhFbXIghCJ0+gfx9mMCyXTs8mk1KfmjR8ECfdYxdmc6zutPH8cI08bUPS83zurNQjR92e6UTNwZNg2WEjIpvWuLVS5f5anZnxFP/jP7t66s+xst3il59vh6kBssTP31sgGRNZ3m7R6Vmcm8lFqVSnfb3BPJdJ7buMH4eDB69afx0VBYF2z+beap3dao+lqQylXGIobWwA1/XxggA/CJBEAd1yiceUoXXbcf1IQAEhaTydUKL90cDJY4BBNPTNC88n4eLw+zcOuJ0O8Czr/VlrdJ8VOG5ImhqMw6XpbORoA+HapCkS63sdWl2L9b025YYBvk48rmDZHobl4vmhwDeb0ihm4iweIFwP9vn/+OkWIpDLxvCDgNWdNq+lY4iiQM8Im4vHkQjTCZXXLp3sTtxom/zlb1bxvDDS+MevzzL7FGP4IHTT5bP7ZRzP55VzxecqCDEtlzur9Ui07rj+EdefJ+FJe4mXFZfmcqz0BWRzE+kz1ewaYR+DfcAXDyv819+sUe+auK5PUpMQYgrtnoPreRBIrGy16RgOqYSMJIn4BCxOZ0gn1McKKkISqxcRoCFsxD6tiCMUa1ex+0TtxenMqfdAx+13Dos3TNvl0/sVbMfj2lKBsdyoETrC2cTB/dVgbp4upfhyuUqlpjM5lkRRxIj03Orsu2walotle9GetdkOzx6DPd5WpcvDjQaJmMKrl8ZRZRH5QBjzYKw12mY0LzhuwE61i2l7JGMKk8VEtIct5eP89vYOyxtNZsbT/OufXIyueW23TafnROegakOn3g4dr9d329xbaxIEsLHXoZjRmOsnwR1s+D4t5P7naXZM/utv13D79b5rS0WScQXPD9f50yQGv2ikEyqzEykqDaNPXH9xrrkjDOObPOMMauM71R6Ptpok4wqvXRyn0bXw+vtVz/NpdW1mSuE9koyrJGMyyVgK3w9CZ924wlg2huN6mNb+nPCLTzZQFZmlyQzv3pgim9KYGU/xT59uUWkaXD9X5NJ8AVkSmZ9Ms1fX0RSJxenssXvymCoTU2VevVQK55c+oVgUBDYrPd458Nlsxw9dtg+YF+imw7npLFuVLrIkcm4my8O+gGOr0kU3Xdo9Oxy//fG8W9e5tlg4VeLt/fUGv7u1C4Rn7n/+/cUnCjlgdM4dYYTvAh5sNAGGDE7OCgZ12vXdNo7rvZT7mhFGOA49wyEIwrQI0/ZodsMzRz4TgwCaHTNyHj9cpz7IH9AUCd312ap2cV0fpWvx5UqddFJDkkQabZOP77ZJxmXOz+Qo5QJs16eUT3JuJvuVxszffbTOreU6QRCwNJ3lB69O8+WjGqIo8NqlsaF9hm64+H6A1BcGb5Q7rO+2qbcsGl2DYjbB5YUc7984KmA/2Je8vJDn0WaTzx8GjGXiSKJAq2s9NsHwm+hLphIqcxNpyg0dTZVYnDpbKUdnEbWWSbsX1gMaHQvb9iOTxUbHOiLisJ3QIGWqmKTaMtBUhWtLYWJmz3BY3WnzaLNFXJN499pU9Ly1nTarOy0ySQ3P8/nwzi4xVWZ+Ms3mXpcvl2uk4irZlBoZrkBYV5ClkISaToY8mWxSY2osGV3bIMH+k3sVtipdYprE+zenubJQ5Ddf7GC5PpmkSlxTCIKARscil9ZQZImu7uD7wZkyQOjqNn/+61Vs2wOBkH8xe/b2IiN8PTg49z/aalFvhaT8XFrj0vyz3yfNjnniWvWk69ipdmm0Q8NEzw8Yy8UjrttORafRMam3TOKazGQxiWl79HSHbFobSq0YYMCn29zroVsuYr++uF3tUcjE6BoOMVUCReTeWhPH8Wh2LV5ZKobrtyBgWh6m5UaJBeHrdYZqKE8yXIvFZEAOhZYHTK3HcnHSCTX8TDGZuYn0E7lChxPCD9cTXsSa3OiY0d97hoPt+mgj46szi7POL+voNuW6jqpITJdSZ673XGsbNLv9dDmg1rXp9WyS31BC0rNiLBNno9zB9wLimkz80Fx1FlBrGaztdOjoNuP5BLPjqSHDoO8SRpXqEYBQaHDjgsbdtTpa39mv1bVp9axjSRtBEAzFNBqWi+v5X0sh8d5ag+1+AkCjYzFRTPD5gyoAW+UukiByeTGP7weM5+IhuQ3IZ7Toeg6TwI5zvvir365ye6Uekts7JqVcgnbP4e5qfUjEcRDb1R5b5S6m5bJT6zEnCcQ1hYR2uqG1MJlhYfJUDx1COqEiy6Gr7lg2hiyJZFIqc+PpqMkuCEJYPJk6+vxETIniTkMX9dHm7mWHKApDY9H3H6+gjMdkWl0rdOckLHiGd0ZAKqGQTWnopotuuSxvtUgnVH7z5S6aKh9LoB7LxSk3dDwvdPQ+7N57Ev7nv75Pp19c+vxhlQv91J617XaoCgV6hkvPcJElkUI6RlyTIxLGAF3DYaKQiMQrpXycyWJYpErGFBRFZHmljev6CILALz/f5l//3rAQZIQRvk7EY8PzflwL3WdPSn16XkjGFV45V3zq55m2FxHHgagI/DhMFBNs7nV5tNXk4WaLuCbzcLPNf/nlKv/mp5dO9b4r262IzGG7Hut7HXqGw8N+U3Wz3OWP3ls8NXm7ciCmtd21sR3vVE7d2ZQapvV4AZvlDl3dRRANKg2Da+eLx4o4AvaJpLbthwWmQ5AlAVURI+JqXJOHBK6z42n8fhR0MbtfBHtekKUwGWXwu42fcj8ywjeDds8eGoe1ljEk4gBAgJ5uc2+tTq1l0uiYyFKYnmbZHvG4gud5mJYTOtEcsz5nUxpvX5uk2bWi8XewuaMq4jMLGVd32hHRKgjCn59VxPEPH29Sa4Vjereu869+eO65CSd6pjO0d+r0bHg+2qlnwiAh5UUglVC5cX7shbzXCF8/lrfbVJsGVj/uu2PYCKJIOh42SasNk0xKRRLBsnxKOZVL84UTm+pBEBAERPejpkhheks/jjv5DIWyjm5H6yCErlBfRch6SMdt2wABAABJREFUGP/w8WYk4Nyt6vyLH58bkTBHOJM4bi24vVKj1jQRJZHduk46rhAQ1ncmx/bHkXLAwAOGzyKtrsXff7QRpXRYtndi4kUiJtPqhucAy/HY2O0gSSL1lklAwPRYKHj8/GGF28t1IGww//bWdkRCGsvGqTSMaJ39/GE1Os/fWatH14EAzoG1OJv+6g2R3Zo+VDuotnT+8N3Fr/y6Xzemx1LRdzvCdwsHx32jbfIPn2xGY8RxfFKJ/XNqJqkxUYiTSiik4qGwaoC5iTSiKLBVDpOzkInOnXdX69zbaJJJqKzttInFJF69OE61qYfJkMBvb+2iqiLv35hhspiM6msAf/HB6mP35Nnk/jUC5A+dafNpjXRCpdkJa5LZpEYyrlDMxodriQK4XhAZRAmE9YCpwbUE0NGdobTCk7Cy3Yr+btkem+Uel+bPVtN1hBFG+Hpwfz1M4rg0n/tmL+QZUMqH5LKObrO60z6TQpQRvpsYEG4EQWCikODcdIbeAbOI5CmJRZfm8yxvt4ipEoIqRWmzoiRgWi5fPKoCAS3dwnZ8blwYo5SPP1Oa6GF8eq+C3a/Z3lmp02wbIOwL4f/5D84d+LzyUOLYbq3H/fUmtZZBuWFQyOiU+4LZN6+cTAhIxBRuXCixvN2OeqqaKqHKL1+9Y2osGYkIRvj6cdA/VVNkbGe/l5eIHb0/Svk49fa+eOraUiGqm+mWw29v7UZ7eUEQePPaBJWGzj9+tkXgB9TbFbaqPWzbo9628P2AdFKNzEFbXXtIXJiIKUiiyHQpSaNtsjiV4dq54pFa3ValwxcPKwzKAh/c2uXf/+xyNJ5ur9To6g6CIJCIyZEw6qv0Lr4pbJQ7oYADIIDV7fZIxDHCEfh+EAk4IDRoPZxSfVq4rs/ffLCO0e8Z1Nsmf3JgrXoS6m0rqq91dGeIOxaLSaEwuj92/SB4oinkALm0NlQ/cF2f33wZGjBslbu4nj/E22v37IgfIEnCUL//uBrKezenT3UdiixxcS7HVqWLIovMT2bQFOmpTCVfBhzk+CmyOJScPMIILxKW43FvrTFknPh1c6KeNzzXiYx0gIgHedbQ1G0UUcIXwxqr+Ji09ZcVG3udqGZda5lcXsgP1aq/S3j5Tn4jfKNIJ1QsO2zUSJJAMn78LSIIAqmEErk9xzTpKysFo2SAmMzSdDZ6PU0RScYVfD8gFVfYre679XV0m4/v7XFrpcrGbgdVk/jhq9PMTWQiJw8Im1vvvDLJVrlLIRsbIrzqZug6cGelju14iCIICLiuRyquDG0OO7odxkHqNjs1nWrToJiNMzseuqDFtTAd4DQuYV8FiZjMT96c4/ZKjZgi8fqV8acirlyaz7FZ7uL7AVNjyTOnivw2otLQ+d2tXVw/4NWLYyyeEO/b0W0erDdxPZ+JYoKFyeMJWXPjodOyKAp0DYd4PwZQFEXSCZXFKYlSPs5n98soshi6YxASSAcHlmbH5Fdf7OA4Pq+cK3Dj/Bg90yERU4ZU3bbjsbLdwnI8xvOJaEE1bC8qNgK0uxaO66LIMrIskk2paEqWatPAsMJkmYQm9+ee4UJu6A66P/YPju/JYoJMXO2PWZWJYoKe4eK6/hMV+GcJnh+wst2iZzjk0tqJv/sRvhnkUhqqIrFT7VLIxCg9R7Lis8L3Q7f9jm6TTWksTO4L/WKqNET2z5yCGDE9liKT1FjeauL6PvW2iSyJT+Wie3gs51Iam3vd6OcgCAsxpxVxxFQJs1+UkiXxxL1Io22yWe72BXEZEjGVn7w5x53VOg83G8iyBAE4XugGZJgel+bzQ3PR4kSaWtPAcX0WZzLHpo8JgsCVhQLb1R6CwBGnf+mQIO95QxQFri4W2KqEn/VpkwYGaHZMfv3FLrbjcXWp8JXcX0Y4GdqhvdvhpBYID6vrex2aHQvPC9BUmcAPUyFEUUBTRBRFZCwXIxmXsRyPlUdVxL6Yd3APTxQSfP/mNKvbbbJpjcvzecoNnSCA6bHkM8e1HhYipRLP7ozQ7O4XrG3bQ7fciDBWaxlsV3pIUjiGjhMoVZs6v/1yF9cLuHlxbGisJWPKkNPOV7nOr4KwsFXHtDyyKZWLc/kzWRQa4ZvDYL3WVDFsyvjheVZTZdJxGV1wCQKQRRHL9Tk3neVHr8+gKkfHTKtr8XCziecHzJRSzJRSSJLIlcU829UesiQ+0zoSU6UhAsPzFlgcTCOwXY+ubh/7Hu2ezfpuWPhbmMo8NoVkhBGeN3zf53e399iu9ihmNN67ORO50Lmez721Bj3DIRlXuLyQj/awtaZBvW3iuKFg+OJslvFCEkkSmR5LUm0a6KZLIRtDlUOhhyIPj9VGx9wXTgCVps7d1Tq26zFZSA7Vq87P5tgqd3E8H1GAanN/LdaNfaLVTnV4v79b06O/J+MKNy6MoZsOgR/w2cMK7Z6NACRUiUCVsGyPVELjZ2/P09YdNEV6bNLXaVHIaEPzzXGGLc8Tnuezst2mZzoUMrHHNntvr9S4v94gpsq8/+r0qc5bI3x7cdy4b3SsobHa6FpcWSz06+MG5+eyvHqhFNWld2s9Pri9ix/Am5fHmRlPIRCm2eUzGjFV5otH1XC8BkEkGNmp9nj14uPH8cGafL29b5Rg2x490x0ScaQSKr/3xix31xrENZk3LpUwLJeV7RaeF9AxbKotHT8IuLZQYG4yc+z5fnEqw73VBqIkkE1qaKpM/uCQEiB9yj17OqFGAk8YrhmOMMII3134fhAlB51FAYQgCFyYzfLJ/QoPN1tn8jOM8N1EJqlyfjZLo22RiMlMjSUpNww6PZt0Uj113T+uyVxbLFB5dZblrVCQdX42T0JT+M3nO2zsdShk4yiSgGm7TI0lmX7GWrhpuaxst3G9MOFAkgRwwxTlnuniBz5juQSaIoUmOX3s1nqUGzoCkEqq9HSbesugq9sYVnieGtQiN/e6tLrrNLs2c+Mp3r52vKDj99+a49P7FTzf59WLpW9Vj3OEZ0MhE6PeNml2LMZyMS4v5DHM0J1+YHx4uBd4/VwBww55LgfJ2K22RTImY9mhK33QP5DUmiabex1aXZuu4SAQMFFM0uxYKIrI29cmIrKwLImRwAKglIuxutvGsFwuzOa4efF45yTL9ggOHOBrLZPPH1aIqSEv6OLcPnfl8kKeclPn8wdVPM+n3bXwA6h3LKYKCd69PtlPFH45kUkO90xGNckRjoMoDpsCyocMW54Gpu1GAg5gaK06Do7rsbLdxrRdxnJxcplYaOoUQDoZmkc+3GiiKhJXFvI0D9Tj9QPCzOMw4NMBzE9mhuoHsgB315vRY4NgmGw8M57iswdVbNvjnWsTQwk8x9VQDn+m5a2Qr1TKJY6IDTt6OL9JYigGfRkTLEKRyw7lpsF4Ls73rk8N7QMGQhTfD5gupUa9xRG+MZiWO2Sc2DOdb/Bqng2JuEZMFTGtcA6OaRLSGRRG2bZDzwqTEKWEQKNjMf8MRvLfJDw3oNOz0S2XXErFdrwnP+lbipGIY4Qh/ODVaT64s4fteLyyVHxszNqF2Swf3N7D9QNunC8+M/mrazhsV7pRdLtleyhyN3ILnR1PY/U3r4m4wuXFHOW++2hbtxnLxkMHMVkklVD5xSfb/E//9ugB8dJ8/lgS4qPNFj3TJp/ReLDZIpNUsWyfufEU2XSM6+dDwUcQBNxfb+B5AR/fq9AzHNJJhQebDXLp0M3g+rkisRfken0wleBpocjS10oiHeHp8Y+fbaP3ldO//mKHyWLyWDLS2k47csbdq+mMZePHOteIosDseJrZ8XR0ABqM0cvzedb3OuTSGuP5BJ/cK/f/H2bH94uc//TZNs1OeAD6za1dxotJ8umjpIi13Xbk3rm+2yGVUEnFFeKqxGQxETWGZ8bSKH3XGEkSuDiXZ7fWY3osRTETY7euk01r/N4bs0c+ezYVRki2ehYJTSJ9oACysdcll4mxMJmlo9sEAYwX4k8sbuqmzepOh0RMPlE08zLA83xqbZO9mo5uhi4kezWdZEw5dSLKCF8/qk0T2/GiJsROtcvseJqe4dA1HNIJ5YXHvu3We1T7SRXluk5ck6N1Q5JEri4VKNd1ZFlkshAWM540LlJxhamxJLbj4fvg+R6qcvoDzeuXxvH8gGbHYm4izdxEmmbHjJw+ZVl8KmX1pbl8GBHoB8yMp3Fd74hzv+P6PNxsRsWdh5tNbl4oRY6jQQAf3N7FdlxMy2c8F8dxfTb2OlxZ3I+Ftjyfif735Lj+icW0mCZ/o24DMU0+MUHstPjlZ9s0+vP/727vMlFIPPfUkBHC8XRuJhvGmisS88cQAVe2W7ieTxCA6/tosoSsCMQ1mXQiQRCEUeLTxRTNjsX6bidaqx9uNnn1QNNkaTrLzFgSVZVDB62EShBwqvSak3BuJlx7d6o9itkYNy88e+LD9FiSjb6oK51UScXDc4jleDza2k/xWd5qHZtA9MvPdqKkwF99vs1EIRm5kcU0mSuLBWotg7gqf2XB9epOC910WZxKPzGW+iC2K91IeNbq2lRbzzehYIRvP967OcUXy1Uat20UJcD3wiQN1/UIUMgkNSzLQ1ElcpnQ8dp2PG4t1xjLxYfOj6vb+0k6W+UuxWyMmCqTiCmndtM6DomYwvmZLJXmyXPbV8F0KRm5sqQSCrnU0fNJEAQ82GhEn+/BepPXL5eeuWYxwghPiwfrrShpTjcckg/KvHU1rJ7v1nqRa1rPcNir65EII6ZKEdmnZ/pkUzHSSRVJFML1/hAp6cIxRIDxfBJVlSLXR1EUo9S91Z02qQPnElkSWejX3nTTiVw2gaFkuotzeb54WI0cMw/PEZoioSkSjuvhOB5uXyg+UUxw43yJettkdiLNjfNj2K6PLPJcCBfjhWQoUt1pk01pQ/uew/B9n+WtFp4HS7PZSFTzNNisdKm3Q6HLTrVHMq4cKxyptQw+vhvWWbq6w68/3+bn31t86vcb4duDvboejfu9uo7n+cxNpFBlCdsNx+r0WJL13Q5juXD9FhCGzpy/+HQrGtf/+NkW/+6nl4bmhK5uIwphGugHd/bQTYdMUo1IvyeN40bbjAQelu0RU2WMfjM2nVCOJRxNjaWYOpAmc2u5Rs9waHUtPr5fZiKfRJYEml2Lt07Yd6cTKm9dm+DyYp7tShfddFEVFUUSSSVVcintVCkcAG/1SZDtns25mex31q1thBFGGMZ2tT+3yCLzk2fLZXeAC3M5Prlf4VFfjDLCCGcFxWx8SKzxrP1sQRB455UJpsYSCITJwv/1t2skYmFts9bSmSmlKeXjZNMa99bqZBLqU6cEL2+3ItPK5e0W71yb5POHVfbqOhfnsvR0h3rLZLKYiPZfXcNhfbcTvUbPcPADKOTixHa7pBIBluOTSSkIAtiuH5lh3VtrMJY7PjUklVCHkhQ9P6DWMpBEgUImNqprfAchigKX5vOPTXberffYLHcwLY921xrqBR7E7GSadEJFkcNzxdRYktsrNXZqPZpdC98PjcgcN0wDGMvF+cmbc9y8MMb6Xni/zxwiDu/UdCRBYCwbp2M4VBo9Svmj+/G58TTTY0maXQvPD8ilNUzLw7Q8NssdlqazQ2NifbeN0SeL//bWHqIIE4Ukj7ZaZNMa15aO9gdeFsyUUrx5dZy1nQ7ZpMrrVya+6Usa4SXF5YXQyAFCjs6zzvGJmEwurUW8nkHP/yCqTZ29usF4Pk6rZ0eP3dzrcm2hwKoq4wcBE4UEAgGXF8L+eEd3hgzSDtYLD+Mgnw7gwUaDNy6PR/WDSkPn3sZ+v/77r81Qb4UitfnJNMtbLQRCw7vPHlVZmslGdYHxfPxIDeUg1nY7EV9pY69D6kA9w7TcaA32vFD0dnkhT7trE9Pk52IEYdvuEX7C0+LOai3qe6waDtmUyo0L+7VOVRlx/L4tMCyXds8mGQ/Td88aknFlyCw2dwY5JMmYRimbYK8Rchmn8gnUY8w2X3Y0ujYCAoIQiuxc/+wJIHqWg+36iIKAbrnRPP9dxEjEMcIQUonQmfo0+KfPtqPNjm64/PH7i0/9fq2uxb31Bs22RaWpMzeeJqbJOAcG5bvXJynm4li2y/nZLImYSuwdlfvrDWaMJAICnufTc3x8wk3Yw40m06XkqQizm+UOXy7X8P2AiXycmxdKTBTjBIHAZDG572IQEG04HdfDDwISMSU6xF6cy78wAccI3z5Y9r5q3fMCbNfnOE7g4fCr04RhHT7wxTR5SNCUTarU2iYzpSRjuf2izsFrIgDLcuGYBupgcxb97HjQ32z+D39whQ/uhE6Bb12bpNrQQwLHeIpiNk67ZzM7nsK0PS7O57kwmxtqBB9ELq1h2i5/9+EWPdMmnVBZms6yV9dBgJsXx9ip9pibSPPWEwoipu3yF79ajVwJGm2L1y9/dSfQ540gCLjbd2vcrfcgIGpGf5c3Ly8jHG/49+G4Pu2ezb21OkEQiqSuLhZOTUI49j1cn81yB9fzUWQJ2/GIa/KRounBxw//PHyNMVVm/kCii2m7/OWv1tD7xLGTxkUhG+e1C+OUmz3ScZVLC4UjjzkJsizyvetTQ/9240KJVEKlq9vMTaSf6juKaTIX5/KYtstf/26dZscinVT5g3cWIvK21yfAD3D4e/npW3MUsxrblS6SuC8SO2QAwlgmjkhYqMqkVPzTTMBnFJZ94F4JwLQ9RmWhrwcDktZJSGoKxb5g03Z8rizmqTYt8mmVQibOvfU6qbjK4nQazwuJgqblIQgwlo2zttvGsj3yaY3PHlTYrenENYnFqWwUE1prGUOCpafFqxdLjyVNnhY/fG2GB+stbM/j4lwuEmO6rj+04Tk8lw1gHNi3BAHYjjsUKZ96TsWwT+6VubVcA+DOSo1//oNzz5408C2eR0b4ehBTZf5P//Y1/h//6XO+eFjDdT38ICRit3WbZEzBclwKmRixmMIn9yvcWatTzMRBgB++OhMRtoPDN+BzvB8PEzaeJ96/OUUpl8B2Xc7P5o8Vbvt+EJ3dgUgMN+I6jPCiYNjD7lPmATe8w3vMg65zE8UkNy+M0e7ZFDIa5aZOt0/8buftUzXqEjGZP3pvkbXtFsm4SrtnsbHXxfN8simNckPHdsKkj9nxdHSOSMQUri0VaHVtEjF5SMB7fjbHv//ZJR5ttZmfSHHhMU7Qr10cZ6vaQRJEZsaTvHtg7//B7V3urTWQJIH3bkw9FzOFw0SPk/APn2yxVQ7Foo+2m/zR9xaeWkhy+BxxkiuUcciV0LRHZ/fvOiKH27ZBrWmGjnVBwO+/Pcd2tUuqX9/64PZu9BzfD/D8AEkK98MH7zfPC3B9H5n9e3hwfy5MZVAUkY7u8INXp5koJHi40UQQ4E9/eI5by3XyaS2qLR2+r6+fL7C81ebOWp0gCHi02eLy4uPd3wfXZjseBBAEPiCd6t5PJ1SmSin+/JcrkQDs7auTZCdP3wBWZZH3b06f+vEjjDDCdwP3+y6/52dzJyb3vuw4P5MDiBJFRhjhu4hETImIpLWWEbrMSiKTxQSm43F5Ic/UWIq//OVq1DN78+o4VxdPT/Ae2g8FcG2pyOJUhl9/uUO1aaKpEplUjDeujnN5rtB/zvA+p2c43Fmt0erayJLA21fHmSqlMEyPhck0a7vtoUTzgXj/cQiCgLur9UgM3MxaX9m8aYSzi8c5rjfaZiQqEoTQUOGgiKOj22xXetRaBu++MkWtbZBPq2xVdD6+W6beNskmNVRFRFMlxvMJxnIJJouJSCxxUlr7YPw82GiwWe5ye7nKH7y7cOS8n0qo/OkPz7G+28bxfFx3vxZy3NnaOHCWcH0f8cAwPQtn7KuLxaeah0b4biJ+iLPzrBBFkT98Z557G01kSeDi7PBr7tZ6/M0H61F9fH4ijXagp/VH7y2yvNPEcQOuLub59F6Ftb06sihwebHA65fGaXZCgdjjRRwM1eQ9L0wJlaRw/irlE/z8ewtsVXoUM7FQdHmAmjjou4UvFvIWBpyBVELl5+8tsL7bjmooB+E4hzkRwz8fxMD0anCt52ayz2ycars+f/27Neotk1RC4Wdvzz8zF+RwyolxBua6EZ4euulwe6UeCqOE0LD0cePqZYQsibxyrki9baLI4tfWC/w64fs+xXw85EoIoRDbdf0zl4KXTanoRmjGk4pL+E8+Yrx00BQJ3/cxLJecqiGLZ09M87wwYpyP8EzwfX+o2FBrGeim/VROtKblsr7bwfMDUgmFRkekazok4krkdA3hpnOweW3rNpt7Hcbzcd6/McXt1Tpd3Y5cwlodi6ligoebDdq6zWsXS9Gh1rRdqg2DVFyhZ7kkYzK5dIztai9SDsuSxDuvTEbNas/zaXUtYpqMpkhMFBKhS+J4ms1yB8fxmSmluH6u+JVcBE3T5fZanXxapZRLgCBgWg6O6zNRSBz72kEQ0NEdZEk4tbt7EARRTNyLdoQf4fG4vFDgdv9gMlNKkTlhcz8/kebWcg3b8ZifSEdkRNNysV2fZFyJnPpaXYtOz2a8mIxcJi3Hw7RcUnEligMbLyRIJ1WScQXfD+8RRRa5tFDgs/sVAEr5OHFNZnOvQyGrDY31yWKSh0YTgpAwkjlA9lBVie+/uu8aM3DeH2A8n2Btux0WIQUf2/PxfR/PD2h0LGzbIxlXyKY0RFHgozt7mI5LtWWyVemyW+uBIJCIyQgIXFkscG2x8MSos0rDiAQcrhdwf6PB9fNjQ7GMLwMs24sKtNlUSDIHUGSRsTO4Gf42o5iNs1fTcVwfURQYzyeo9psKEBYuGh3rK4k4lreatLo2uumwVemxNJ1BlsR+is5Rd6lSLk61aeB5AfIp7plKw4gEHOH7tTg/myOuyeimg6ZKxFSZ8zMZvnwUxw8C0kmFKwtPLjD5vs9eXUeWRErHuM5/VeeIOyv1yDWk07O5tVzl7WuT2I6H5XhkkgrtXjiWpvpklcF8J0sCC5MZipk4XdOh3bWRJZG5iWFB2XQpRaNjEhCE5NhTqPFtx8Owwmjr0zSMbdenXOuFzuLHJB8N4Ho+PcMhrslRioLjeuimSyKmYNouohA6Nj/N+w9webEQpTSV8nFKuZOvZYTnj8G92TMsEnGZnumgKRKKLLE4mWZuPE27F47Jt69N0u5abJe7KIpIu2chSSKiIGA5XlRsuLNS6xdTJNo9m9/e2uX1yyWkvju34/ovbA08bi8C4Z7/OIJYuLdQafdddCaLSQzLjZo7iiySiIVz0ZePatFjHjeGvgoGrmMAhuVRaRhDe5vHYWosSbtrYzke6YRKcZSoNcJTYDD3C8CPX5+h03Nodi3qLRNNEXEMB1kUaFgOnV2byWIyPBd0wDBcsimNu2t1cmmNZFxhYTLDo60Wvh8wNZY8M4YEJ80VByFJIqV8nEojTPoKz9QjBccILw7nZnM82Ghi2R6SJHD5wH55shg6TxqmSzwmD9W/SvkEXz6q0GgbZNIqSuDz4Z0d4prMzYvjTJdSx66hh5FJ7Du1fXhnj1bPgiAUPCqygKqE4z0gFDmatsdUMUEidnJ64MJUloUniC4UWWKimIj2H4MEP8NycT2fe2sNIGzifnRnj8liEsv2nvh5nhUH98xb/bM0QL1lopvu0Nmsq9sgCI8VfE4UEjQ7YVqJpkgUs8fvNSaLSQrZGPWWCX0x/wjfbUwUkjQ6Ft3dcF+fT2vYjo9he1SbejSuNUViq9Ill9Yo5RMIgkCr76Q7N57iswdVFFnkxvkxJDH8v0RMRpElMkmVeEzGMF1mSinOz+bIpTQ+fVDBdX0836fWNEgnVVzP58Pbe7z9yiT5TIydao+eGdah56fS1NplxvsmLx/e3eXifBZRDM+WjuuTiitD6+pUP0WkmI0xlouHZ0+BU9UKALbKnUjAAbC292ThyAgjjDDCk/BgI9x3XJzLfbMX8hVwfjbce63ttHFcD0X+7pIZRvj6cFwf8Th0++m3T9PfOK6GDfu1wUHNetDfPLzHqDR0XM+PjN9CIWqC3ZpOOqkxrsnkUhqKJEQCDj8IuLfWYG4ig+f5J7635/nopst4MclUMcm99Qae50f90kxKo9oyoyS+TBIWJ7PIsojvB2FqmiSE4lrXo9U1abQtRFFAEAWScZX3ru+LTGOa3E9kC0jElVMJ2i1nvz8IUG+bnD/1tz/CdwmSJOL5Pj3DJZVQkISDYm+Pe2sNdmu9kIQdkylm48RjKobVxnE8kjGZnmET1xQScZkfvjrLVCmJbjp0dJtUXKHcMDAsB1kUsV0fVRFJJ1RUWaDVs9gsd5FEAVWW+N2tXQqZOLIkEFPliHeQTWncuFDC9Xxur9QwLQ/bcUnGkwRBMGRKeWkux+pWG9v1mCwk8P0gJHTHwwTgZ4VuOiE3Ka6Mkm1GeOlx0jp6HFRV5sb5sehn2/WpNHSSMZn1vU5Yg7Bc4pqI5fqIkoft+BQyMUr5OJP9ZAvDcri/0aDVsRGEUEz51uVxPM9H7IsxTup9i6IQ8ekg5CAdrveN5RJDprLVlkG1rrMwmebK4j43abwQP5J+O5hDBtjvi8tMFhN0DZsggHhMJnsgXSOmydH+QRQFskmV3VqXSsMgk9Kot80nijhO2gfdW62F9T9Ck73PH1af2WTi0nyetZ0OtuuhyhIXz6hw0/MDurod8UoO8hdeNi7WN4FBbRmAABod88yJOCBMhjnLSbg+oWme5XqIgoD2hDn2ZcVEIcH6Thc/CBBEmaXnYJr1ojHgsiVFFQLwgpNFeC8znmbNPglno0s/wksHUQwPZp3+ZkVTJVT59LdTvW3ycLNJs23R7FnMjaeYn0wzPZZiaix57A29sdfhF59sEgSQiCv80fcWubZUpNo0+Pn35unoDh/e2aNjOHz2oEop1+X6uSKqKNHVbf7i16sYlsvKVouJQpxUUuOda5NkkiqiIOB4Hj3d4cvlGguTaSYKYYSkZYduxpfm8yxMZSjm4pTyCQppDdv1mC2lgWc/5Jmmy//l//0JtbaJZbtcXSqQT8eoNg2yKY3xQpyfvT0/JOQIgoB7642IzDY/mT7VAvlws0mjHZJcZ8ZTzJSOTzwY4cXjjcvjzE+kcL3gsb9Ly/GQRAFNlTAdD98PaHRMHm21IhHF1aUiG3ttfvnZNkEQutr9/L0FLNvj/nqDIAjVjNfOFbFsl7trjUgFr0hi6GAhwNJUlun3Q9KFpoj8ed/JRpZFfvb2XHTAKmRi3Lwwhu0Mi0hOg3JD54O7e5RrPUzHY32ny0wpRTImc2+jSbtrM1VK8tqlEq/03T58P1TtW7bH6k4bSRIpZDSWpjJcWyoe+/6b5Q6VhoGmSpyfzZFJqmGEseNRbZoUMjG+eFTl2lLh2d20vwYosogsibieT1yVeWWpyOJ0lkRMPrMOYt9WaIrEjQtj6KZLTJVQFYmeOezAG/+K5MiBO5Pl+ARBEEUan+TalIgp3LwwhmGFiR0nHYxtx+PRZota26Cjhyk3uulgOR63lqtUmybj+TiiKHBhLocoBOzVejQ7Nqbt0NYdpo595X38w8dbEXHqymKet65OPvP3cFqE7lehk4EsC5yfzRLXZBKxULB2f71Bu2ezW+uxU+uRjClhisfbc8RjRwu4e/UeG3vhIUgSBS7O5R5b5O0aDnf776/IItfOFR97ALRdn7/41Qqdng0CvH9jmnPHFKMtx+P2ci0SDF1ZLCAKcGe1jucFlBs6uZSG5wfopkMxG0eRQ0eE0x4YXjlXZHosiWm7J4pJR/h64Pmhw9rKVotffr5NXJOxHYdmz8a2PH79xTZL01kuzRX40RvTqLLE33ywTrmm09JtSrk4hWyM1y6WoiYjhCRN1wvwfJd628TzA9Z3O8xNpIlrMrL0YhoWra51ZC9y3Nzk+QHLW026ukMmqXJxNoduuUiiQM9w+eJRle1yF9f3mR1PMz+R5rVL48yOpyIR9NeFTFINxymha9HTRC3HVJmbF8fw/GC0jo/wVBi4Q9VaBpuVLgShq142pXFhNsfvvtyh3XMoNww8H0QBfB/Oz2RY3m6zLfSQJIFmz0QUBFQlFD+pisTiVGbIcf/bgqXpbCQcPYuR1COcbWT6DpO1lkk2qQ41+AYEbNfzj6wFn97b4z/+wyM8N+CjO2Us18fs7/Vvr9T59z+7HK6hqsS1pePX0MPQFInFyQyu72M7Po4XoPaHxJcPqzT6QuhSPs4fvDP/lfd952dzTBRsRDFMsPv8YRXfD3BcD8/zo+ataXl88bAafZ5XzhWf69o4mDcHe2ZNFrH6rnyDJuIAK9utSPQ1lov1m40O2ZTG4lQmIpKlEyo3L4xh2iHJ5SThiSyL/OE7C1Saet+lcCSI/q5jMO5jihSNOV23+D//h3vU2gaO6zNVTFLMxRnLxDEsjxvnx/jiURXX9Wn1LNZ32zQ6JqosYTpumMjl+UiSwLWlInFN5tpSkZ7hoCoiMVXGdrxIwLG81eL+Rlj/M0yPQkaj1jb473//Eudns3x6v4IiiaztdEKB96H7u1zXWd1pA+FYuLyQj8bGZDFJJqni+QHTYynubTTIJNTQVfMUyKdjYWm938POJr99+5IRRhjhxePhRhOAC2dYxDFRSJCKK3QNh7Wdzpn+LCO8nFjdaR3pIx7XH1vdaVM+QMhcnMocecxhWP39uNvfj19dLJCMK7R7NvfXG5EweqKYCA1TAkjGFa4sFpBEgV98sskHt/cAuLyQ509+cA5RFPnpW3NsVbr85stdDNNlY6/D0kwWhJAANBB+/Od/WmaykCCVUKP3bnUtHmw02al1ub/WZCwXJ5fSeONKnxAq9LckATiOS1yVKeXjNNoW7Z7NZ/crzEyk6BkOXd0hCMLE7i8ftdmqdGh2zFDQnYkd6QXNlFL88x+co9OzKWVjqKfoQyqyhCyLkdj1q/aXRvgWIwjYq4epmz3D4YCGA8vx8fu9onJDp9WzmMgnmRpLsF3uIohCSJYLCM8AQYDtemxVulGa5ValQ60VchEsy0OWBTIJlVRSZaKQIJfS0BSJQiaGIEC1aYS9sX4fU1OkiHdQyoei71eWiqxst9mr62xXevQMh0vz+ajnlkvH+JMfnqPRMYkrEnfW67S7NvmshnYKg7XjsFPtsdE3aMqm1KH3G2GElw2H61pXFvKnFlIe7jfn0ir31xt4foAowvxEBoE+wy0IBQrre118PyAek3C9gIBQsNjoWPznX62iGw6CAG9fm6Ddc07sfQ/4dPDkmvzdlRr/+VcreF5AMibzP/6zV5juG8I8qTdtWC53VupRXeTqYoEbj+ErzU9mmCmlEASB3WqP//bBBqblIQrwR+8vPjYR5Wn2QV9lRsln9ue9fDpGInb21n3P87m9UsewXAQh3P/s1HohSVsSubpU+M7vZw5//u/69/FNQZVFPn9YoWf0+Ve2c+ZSOACWN1vY/bNCvWWx19AZ+xo5El8H8pkYl2ZzWE4owD+LY8J2PG6v1LCdcM2+vJAn/QzmzmfvDhzha4Ht+nzxqBo6/D8mWuwgfvL2HHMTKWbGU/zs7XlkWaTVtdiudtEPEVcPY6+mQwC5tEYmoaLIEudmcixMZU4kGN5ba0SO5rrhsLbbotLo8eWjKpWmiSSJ9Ew3amK3ew6u57Gx1+G//naNRtuk07PpmS61duhCeG+tztvXJohpEqblMTmWRJFEtis91vfaWP2IsiAgUgyn4grtXuimXsjE0S0X3XToGg7b1S7tPqnrtLi1XKXWDp29bdfn4UaTzXKHWtuko9vsVPWowTeAbrqRgAPCCLwnwbTdSMAxiGDdrfVwvbOpYvs2IowmfbwYZ7fWQxAEJFGkqzv0TIfdms52pcuXj6o83GjSaJtD46XTT7ApN/To3yzHo9E2KTeMSOnb6dlsV8N7STcdvlyuoikSiZjEn/3jMsvbTTwvbAA/6MeRD7Bd6bGy3YpU6APYrs+t5Vo0txyeIz65Ww4byJaL6wXs1sKm8Fa1R1d38IOAVtdmp9KjZ7q8eXWCuBoqFxOxUN2vKhICAkaf3HkY7V4YE+u4Pl3dYX23TTal8aPXZ0nGFSaKCa4uFnBdn1rLPPL8bxKSJHJ5IR+5IFxdKpBJqiPi50sKWRLJJNVoHRvPJ5ifTJNLa8xPpiMXh429Dp/eL1Nt6k/1+oMowmRMJqZJUVHksBPFQQwcOR9H8Frf69DRbVRZYnosiSiEn+XqQoGe4dDqWuimG62Fnz6ohZvomIwgiFFiw0lo6/aQ8+2DfhP1Sfjwzi5/++EG25UOO9UejfbJ4/PqUiFyKcimVF45N0a5oUfzm+uGwq+Bs7BuOtF6vVXuRnNXp2ez1zCOLdzeWa6xV+uxW+2yvtul1X38el9p6HR0OxLH1FrGYx+/Ve5ExHACuLtWP/ZxtZYRxcD6ftiYGiSuuJ5PsxM2lZpdi1r/O3Ncf4jQfxJMy2Wn2qPeNslnYkyNpUYCjheMTs+mZzg83GpiOR7NrslePXRyM2wP2/X7Trlh4/A//dMyO5Uu1baB7bh0dDtMcTJd5ibS7NbC9bmQ1pibSNMzXFRZ4o3L48Q0GVWWuLJYYLPcfaZ56Wlx3F7kOOzWejTaFk5/ba40DdIJlURMYbfWw7Y9uoaDaYXueTv9vfBYLvG137ffvzHF+Zks06UkP3p99qnJ74IgjNbxEZ4a9baJ4/pUmwblus5evUejZVJp6NxbrdEx7NBJsn+0Ewjn9HLLINYXckqiiG17VJsGm+Uu1ZYRiaK/rUjFlZGAY4RvDDFVZqaUOrHBetxa8De/28CywiS5lm7S7lr4AfgBbOx12avrLG81qTR0Gp3hNbTeNtmp9iLRxwDFbCw8P2sKhXRsaEyUm/v700rDONV+8TRI9dfsvfr+flyRJcZyGuV6uNecHk/u7wlsj3JdZ6fae+KeGcL98E61F6VyHYfBvAnhnvnyYp75yTQz4yl++tZc1JTxPD8ScADcXWtQa+3PuZXm8PWoSni+elJyiCyLTI2lRgKOEYZwbibLRDFBPqOx19YpN3V008VxPTYrXXTDwXI9yo0eH9zZw+nf4+V6lzv9JrhuOXx0e4+eGdZ4B2RFAEkUkCWBetuk1bVQZJFUQqFnhImTqbhKp+dgOS6W4+O6AZuVHo2OhaqEJEEBQkKCQJ+gMYkoiuzW92vPHd0+YlqRiCnYjsdvbu3Q7lnhdd7ZO1InhH6drtql23eWniwm+d71SSaLSS4v5HnzysTX8fWPMMII3yF4fhCdc76KW/c3DUEQuNB34H242fxGr2WEs4NBffdxtfQBjusjHoTvB+zUetxbq0f7+nJdxxu4Bz8GtaYRiQ98PzQeGjx/8FqW44WCq/7L9Qwnqo//7vYurudHjv2dXvh5RDE0PrNsL0y9EASqTYP3b0yTTihMFpNM5OOhELZrD793v1+wVQ57lLWmQaNj8sWjsBcaUyTurNT54PYuPqELuCiEJmv5tIYsi6zvdOjq4R7GsBz+8ZMtdqo9Cuk4ibgSml+KApIoDPVEIBT7z5RSpxJwQLi3uzCbJQgCxAPzwcuGalPn0/vliBw/wotHs2uTSaikEyqZpEq9bWLaLl88rLC200ZTwvQM3XQggF7//veCMJEioSloqkg8JiNLEr/9cpu//NUKa7tt/MDn/kaTSiPsS9U7Jobl0uxabFfCc7ned+T3fB8/CJibDMXchuWyPRgHAUNnCkkS6eh21LtsdCzW9zpD3JXQXT/J8k6bnu6ST8cQEYd6+as7LT57UDlVLWHnAJ+m1bVPNMgbYYSXAYfrWuXGk+/xAQ73mzd2u+TSKrIkkEtpNDpW2FuzPTq6zSf3K9zfqHNvvc76XgffC+gZDj3LxbQc9P7ZPQjg43tlynWd5e0W1aZBrWlEdTqrX8M4bU3+4/sVPC/cBPRMly8eVShm46fq8VWbRjRXeF5AtWlwZ6XOh3f2qDSO585JkogoCqzutfocIxFNldjYPXn98vwgEnDA0X3Q5cVixN9IJ1RuXBg78hpPg0QsrCefRQEHEKZP9+fWIAjTEQe/Y9cLa63fdeQzMRanM+TSGrPjqa/VlHCEk7FVbqIb+/uAds+lfgbvz4O9C9eHD+7sfINX82y4cWGMXDZOOqkyVUpycfbspTPX+3z0AS/s4LrxNDibM/8Izx1//bu1KOZrs9zh599bfOJzMgmVH78xF/1caxk82mwBISHylXPFiCx5GAfJpIVM7FTK4Zg2LO6wXY//8Ff3cByPRsdkupQml9KQZYFsUiOVUFjf6/Lh7T3qbZPtSpepYrJfuLHYq/cYz8dZnMqSjivcXW0gHrgu6RCB8+A1q7IUCTwQwLQ9lrdbUaHp0nz+1JFX2f7jBMLmmKZKWI7fJ5hKGJaLpgxvUmVZHHIoO02MsiyJCEK4Wdqt6ZiOy/puh0rT4Pq54shp4IxAlUPBEQBC6IqxvNXkozt7WE6oNC/mYkfc3uMxJSqYDqAoIoqzf2/JkogiB5EgKaHJfHq/wod39ig3QjFRV3e4slggfuDg8Mm9Mh/fLeP5PreXa/zpD89F4/lvP1iPNuO3l2ss9JXp25Ue15YKJOLh64iSiOf6aIqILItoSniIwgNJHCRSCEwWk/y7n13EcgO+fFTmw9tlBEIixeCAdBiHhUquGw6cuCaRiqsEQRgHCbyUEX7JuDJy2TrDmCwmh8RZDzcb/OaLXQBuLdf4+fcWhmJDH4e5iTSpuILj+bx2uYRuuEgirO12eLjR5Oq5IplnUPQOxojr+eiWy3ghSUcPRQCDIsHApV+RxCPvkXxCIUGVxShaHEA7RZPiv/xqhU/u7uG4AX/z4Tp/+O48cVU5MXkqpsr8yQ/OhTHO/XF8WBR6cK08uI6qSuhkOsBJ6u77m012a+GGu9Iy+Dc/eXx4ec90IqeimmA+0aHs8J4pfsL3pEiHP1dIzAUQ+o0rSRIIEIeEbU+a32zH49ZKLfo9zU2kmRo7uzGYZxX7v6dQ4DiICbdsF0mU8AMf03YpN3S2q93+nlbH98Oo4rGcSD6tkU2qPNios1XukUlpuJ7Pv/zRec7N5mgeaOJemMuxVe7wmy+fbV56+s936P5Vjr8vj6zdB35WlHBOEYRwKyxJ4gtdv1VV5r1njEMeYYRnhSKL+H5ArWXSM1w6PQtEgVbHQjcddMNlaNQIoCoCM8Ukpu1juz6W4xHTFERRwHMD5P7aMRL1jzDCywPLdcNkTMIGrReA1GdVeV7AreUaABvlLhcPnBEPukluV7tcWSigmy6qIjJdSoXkatcjn46FRgkdi5gmU27oNPumIYLAc0+lPLgf932fZtcJ9xgC1FomyVh4rvB8n5XtVrRP6BoOC5PH753Xd9vRnnyv3uP6+bFjBTGH9wYhwdzH76eBDSCKwtBZRQDEA/Wx0Rw5wvOEJIksTGawXZ//3z8uY/YNTQRAUwVEUaDds5ElgVbXptWxmC6l2KmGDSDHDRAEmJ1IU22YzIyHZ8jBWNNNh1vLtYiMeX42y+WFAooksFPTkWWBnqFhWA5juRiKLB5LDLi6WOCHr84ARIInRZIwGa5HHkS7a/P//M+32GsYYVKNKHJlIY+iSFyez0fC50bHjIxhBKHL1cUCqYTKhdk8F85gk26EEUZ4ObFb62HaHqosnvk0+vOzWT59UBmJOEY4FaxD9d2TaukDHHECPlSffrgZmsbVWibtns38RBpZFjnGS+0IjtQAB3uKQ/v0mCZHog4AtV8rlMUDe3RBQDxQE49r8lCPXFNkzs1kyaU1Hm40aXYtwEbq9zRURYrSM2zHw3Z8On0hhucHzI6HhPNbK3WqLYN6x+SD27u8caXEzfNFNjMa4/mw/xhTJQIhFMt8dLeCaTu0umGq+fmZHMm4gm46rGy3Wdlu8/1Xp1mafjYxWRCEScqCIOAHARvlDhfnXq79UrWp81e/WYv2n9+7PsmFl+wavwuIqRKphMpgxVMUib/69VooKgKmxpKcn8mSiodmC822ycZeFzcIiGsy56YyrOx26JkOpuWyVekiiSKeH7BX7dHqWMhSOPZFUUDsmxSJooDt+FQbBtmUyuJUlotzWR5ttyEIx/HB87p6aPwrshiR1PfqOr4XIMsilabBK0tFRFHg3lqdSkOn1jLpGjaz4+loHrm9UuPju+Xo73/83uJjjRTUA8k2gnC8ucYII7wsOLxePk0P7HC/WZZEEITwXC5Az3Ax7VDoUG+bNNpmZLKwVe7gBgGCKCASzicHYVgujzZbuJ6PJouoshTxhnZrYZ3utNd6mF+QSgxfd1e3ub1aRxTg+vmxobrl4ff46G6Z++sNAD69X+Z/98+vUTiBO5SKq2jKvllmOnkyt0IUGKobSpIwtA9SZZE/fn9xiJ/wXcZhbsZhTsjLyMX6JjCeTzCeH4k3vknE1KN83txjjHNfVniHPK4ysafnin3TyKY0/vDdBVpdi2I2diYTUVzPZ62fLgmhsdqzYCTiGAHTdiMBB4Tue67rP/XAOJgW0exYfP6wwvxkhqli8ohAYGEqjR+ErtilfPxU0W+vXSxxb7VOvWOhKiL/7Tdr7NR0ipk4fiDQ1W3eujrBo60WE8Ukb1weZ3mrCYRCkWpTZ6/Rw/V9YpJM13BQZJG1nTCq0XQ9VtcbFDIxpsaSzE1mUBSJWssgrsnMHYiAX5rJsLrdDuPux5IYltuPtbfwfZ/VnTaL0xneuDR+5Hv0PI+//3iTvbrB+eks796Y4idvzfDRnTLZlMbFuSyVhkFMDR3QFiczQ0rjetuk3jJJaDKeH6DKEkvTT46ulSWRC3M5NstdXN9nul+4M0w3JPScslnv+wFblS6W7VHMxsg/ZiHzPJ/NShfH8RkvJMg8ZgM8wsno6ja7dR1FEpmbSLGxFya+CELoGmFYbpRkkVJUmh2LH9ycwfUCGm2DVEJleatJx3BxHI+pYhI/CJ28ZVmk2bWiNJl0QsX3fVodi24vdOKotAxEUUCRBHTLYXEqw/VzoYq82jT45edbVJsmcVWi3bPZqfW4mFCx3WE19U6tx3QpiSJL+H5Au2fz4zfn2a72MC0HCGOlblwo9VXZHWRJ4NJ8nrmJNJt7XTRVYqaUIq6KvH11iiAQ2K50yaY0Xr9UOvb7U6TwM1qORykXZ7qUpKvb/PUHGziOR7Nr4fsB7786TSl3/GFuhBFOg0rDoNk1ScXVE8nvG3v77ktBAFuV3qnJ0q7n0+7ZOJ5PQpMZLyT4q9+sRs6xW+Uu/+JH50+9fncNJ3S0dzzKDZ2ubuM4Pqm4QlyTaXZNitk4Y7k4QRCKDOcnMyiyGLr777QpZGL87K25x75PTJV5/8Y0nz6oIIsC716ffOK13VmuhYlafdJpuWawMKXQ7FonNp7+8dMtNvY6zJSS/PiNOSaLSWpNg2rLYGosyVhuf72KqTLj+QR3V+vMjCeZ8OJ4HpybyRx5/cG663g+BAF+AElNoWu65I5ZfgdF7loz3D94vo8siWxXu/2mUOpY8eVEIcH5mQy3Vxok4zKTxTgPN5pMFBNDcXulfBzdChNSgNCtjIBCJg4CvHpxDD8IiUDVlkS1ZTBbSp0odBugo9tREcrzfe6u1umZThQ777gem+XwM0yPJU8U6o7w1ZCMKyxMZfriSZt6y0AQFCzbwbBcRBFSMdAtl4QqocgSMVXBdl1URUKVJRJxmU8eVNir9ujoDlndIZNU+YdPtpifSOG4Hsm4SikfJ5fW+OT+Hp3+3BJTpbDZ2bFp9SxSMYV8Nvbcikmz4ylc10e3HAqZGPl0jCAIXf16hkMuFSZPTeQT1FomruujKiKlA+8/aHwuBeG9WszGjoikaq3QTTwRU5geO3oW+SZgWC6Ntommniw8HWGEk1DMxqmkQ/KlJAkYtotp+0giEAQEhx4f+KGjz169h276pFMql+ayTBSTdHQHz/ej5sqzkpo29kIRaSIm8/qViaEmheP6bFW6uF7YvLAcj2RMYeolGY8jjPCy4vJcjvsbTRzXR5MlUopIu08umi7E++JOj2xKZX2vy/J2m5gioSoS9zcamJZLKZ9AN5yoSXYccWu87/D1/ZvT/ObLXWzH45XzhcfW5soNnVbXIp1Qj7xeq2vRNcL9xsF963QpheV4fbdPiSAICR8QzhP5jIZhucRUjZ1qj2qzhySFSQIniTgO1h5tx0c33WNrTcVsHN10aXTC/cC9tUbkRrxZ7vKvfnQOURQRBIGLc3nWd9sIgsDSdIaNcnd/D/IdqhEcrD1NjSXZq+th7S8X7tlGeH5odUzSCZV8Ok69YyAApZzKViVs9sxNpHm02UCWJGYnksRjMjOlNJvlDoossjCZ5uFmk81Kj8sLOd7Kh8kVra6NYbr0TAdJFPj7jzo4rgcCZBIKtaZBNqkyWUwwWUhyfjbLZDEZJeR2dJt0QmWikDiyXh+shU8Wk8QOkT7/8jcr7NZ0DMul3bHIZ2NhamgQzhEDEUfzwBgOAmj17FP1BV5WtLoWlYaBLAuI/dSzwuCzjzDCCN8Ylvtmc4vTmSemZ73sGJg7PRqJOEY4BTq9/frudqXL/fUG184Vee3i2LGO1m9dncR2fLqGzeJU5kh9oNm1EASB6VKSSsNAVSQuzOWifUJHt9mr6SiyyMx4ilvLVe6sNMimVH765hwTxQStrtXvl4SvPTuewjlQGyxm4/zu1k7Y93B9eobDlcU8P3tngX/4eBMvCHjn2iQCoahkr95jbbuDbthkUjFyKY33bkwBRP19TZVIxGSScQXH9dmtdbm1XCOdUGi0TSYKCVzXR5JEYlr4WFEMvz9NFnm40cT1AzRFppiP83uvz7BV7SEKAotTGXTT5ZP7ZSRJYKaURlMMbMcjlVDwgrCHk4orCILAZrmDpkpDdc/TIjxL7ZtPHdxHnYQ7qzV2qj2K2TivXjy+Z/o8sVPtRQIOCA0HRiKOF4/r58bo6g7re210w2Frr02tpaPIEl3dodWz+OP3lmh2LBRRoNY2SScUMnGVdtfG8nwmi4kooVMSRQQCDMvh7lqdi/N5qs0w0TcdV4irEjPjSVIJDdcN978ThUQo6nADzs9k2a70SCdUFqez4fsqIouHBE3nZ3OsbrfpGjaGafN5tYssiSxOZbg4l0OWRLq6Qz4Tw3F92rqNabt0dZtcSttP+SA0KfvbDzfJpzWWZjIsTh0VT52fzbGy3cLzgzAVR5GiWsegrxv191omyYRCKRcfEW1H+EZwuK41/RQ1/IlCglcvlVjebJGMy8yWUvznX65QbRsUMjEmxuLsVHRMy2WimMCwHSoNg4CAQlojm9KQs2HNLJeMoSgitx5VyWc0FqcyrGy1cVwP35fZrnY43zdkcPqJP49Lrx9wKZJxhZ++PYdhedQ7JuemM7xybozVnTau51PKxvmbjzaiFJBKw2RuPMWXyzXSKZWfvDmHKHYoNwzG8/GhNB7H9bm/0WCiZ0c9baUvEJNFkRvnx9it6TzcbJJLafzsnfmhazzMcbs0n2d9t0MQBCxMZejoDuW6jqKIzJZSSJJ4ooDjYJ9ksph8YkLJbq0X1WYeJ8R9WZFOqMxNpKk2DTRVYmEyw3a1S0e3ySS1UerECC8NFFUipggYTriRTWhhTS92xlJwZAkOhpWLytnrv1abPf5f//U+9ZbJ0nSGf/+zy0fqzi87JFEkn47RM2w0RT6VqfFxOFufeoSvBaoskogr0QYonVARBFjZbmFYLsVs/FSLaTKmUO+r4PfqOoqcYnOviygI0QajZ9h8fK+C6/q8cq4YNY5PgzurdTRVJghM7q42yKYU6m0zVMqLIpmkSi4d4ydvZbiyUACg2QmdBNq6jeX4FDIargfjuQRj+QRt3aHa39AZpossCaQTCoIAlu0yU0odS2qJqTJXFgvRz5/eL/Nos4Vlu+zWdWYn0tiOh+v6vH/IqfefPtvmwzuhK8DGXodkXOGP3zvHz99d4rMHFRzXR5FkdNtlrpQiGVcixWrXcELHnX5BZGosOSQueRLy6bDxKolCFPeq9BXSp8VmuRO5HtY7Jq8sFUmesNlc2W5T7zfJm12LGxfGjiREjPB4OK7H3bXGULzwhbkcnz0I4wUrDYNay0RTZUTXx3U9knGZTDo8cHx2v0K5ofPrz3eQJIGJQhLLdpktpfn0foWe6RBTJHZrOn4QUMhoVBsmbhCgyiK269HuWsQ1hZimMFNK8YPXQje+ZsdieauFZflRITEREyI3PlUWSSWU6F7LpNQh4nIyrtDqmFw/NxaJQi7O5yjXDKpNk1IuTqtnY5gOa3sdUn3CsO8HUaLHO9ceTwZ3vfCQlk2qWI5HKq6QTWms7bQjtw1REGjrdj+tZn9TM4iKdlyf8Xx8RFge4bFodEy+eFihZ7rEVAlB4NjD9Vg2FqUzABQzMTzPZ32vg2G5jGXjJ66N99YaUezkZjbG91+djuZYCEndXcN+rNPMAI7rc2+tjueFceKG6VDKJ/r3vIemylxdLHJu5niXqD9+f+mJ73EQC1OZaNyeBgPHrUFvaUA0TZ4wDj+8s8uvPt8GwrVVUUSuLBQxbY9UXKWjO/QMJyKHOK5HtWlExIpcWuPS/NHmQtdwuL/ewLI9XMdDVWU0RUIQBLKJo9cSBAF31+rYjo9pe3h+wPxEhuXtFoblUWkYmJbH1aXCkecalossS9y4MMZ2tcuDzRaThSTNrsXNC2ND7hUDUtv/+g8Pozm21jL51793IWrI7VR7GJZHMhYmhh0kzhyHREwZSuxSZJF6y6TZsXj14hj315v0+nvFds/m1YuloaSPEZ4fJgoJ3rwSErH+6bMtmm0L2wlddwUBLNcnFVfRDYe4JlPIahCoFDKhMLpcNzBtl57lYLsu5YaLYTqk4gpt3SKpKZEQGcLfebvvytU1HHaqPdo9h3JDJ51QmBoLm6sDkfdkMfnMv/uBqPgg9uo6m32BW6NtocgiubTGzQtjWLZHTJWGSBeaIkV7/ePQ0e0oHbDRtgiCfUe9bwqW43H7gBOiZXtPVXQfYQSAZFwlpipYVgfT9hARsB0P4cB4HKQ7ZpIKlYaJHwSIooCmSlxdLLBTC8m5iiTS7Jj87J2FZ3Leb7RNfvHJZtSod1w/OiNASDBq92x6ZjinLE1naIgWCDA9Nrr3RxjhILqGw+ZeB0GAcr+ZKKkiQRCmZA5qKM2ezaIokIjJGJbLB7e28fxQ8GC7HuEMEDb73rwyERWKq03jxKZfPhPjj99ffOI1Ntomq9vt/t9DItegTnjQVX9LgCsLhUhUIYkCF2ZzQGggc3e10b/WkGA1cJHt6jYf3d2L1snHnb2TcSVKxhVFgZh6co1pbiId1cx+8+V+lLhuOOimG50NMkmV6+fHhr6X4/Yg32Ycrj2t7rQjZ+Z6x+T6Y9KWR3h6iJJAo20iiAFTxRSe59HRPfzARzdcunqd6fEUqbhKu+dweb7AdqKLIom0DYvVnTaO45FLw8ONFotTzf55NnRoDgJY2Wnhun5I3DJslqYyFLJhcu/SdJaFqUw0jkVReKJD9OFa+EG4bnjdoaOijC32yQn9MXawbpyMKVTYJ1cclwRyVmBaLvfXGwRBONe6vs9kIUm9bXJt6fHCuBFGGOHrxfJ2WBN4Vvf7lwmDvdTqTifsHZ5BV8oRXhwSsTChotY0uLfeIJVQud1P83vj8vixjz9MXDyIZEyhZzgkNIWLcxo3L5QiUbbteNw7sH9c223xmy93ozqB6/n86Q+PJllLksj8ZBrL8UhoMmu7HeKawr21Js2uyXg+wW69x7/80TkuzF7HDwJiqsynDyp0dIu/+vU6EJBNaaiKzB/9weWh1z94Bqg0DFa2W2yVe7R7NqKQYKKYRBTD+WFAlPT8gCCAbFqjXNdp6TaKKCJLArrhoCoSNw6cF5JxhXeuTVBp6KH5lSKhKiI93SGZkGn3wjprOqEiwLF1z9NAlaWhpIKTevEDrGy3+KjPP9iu9JAlkVfOFU/1Xk+DatOg3NDRFOlIv2EkZP1mEAqKUnz2oIIgCJTrJhvlLqVcgr16D1WR+OD2LtmUhiCK5FIanhfQ7FhkEioxRUIQBc7P5FjeavLLz3aIx8KUnGxKpZiNYzkeRt84wrRdMimNqwtFGh0TWRKj+mIiJuMHAbIkIsth7eAkLktck1mYSnNrucbDzRbtXtjD6BoO339tFqlf07Rsj/FCom9CJVNtmhiWRy6tRZyVnWoPM+2imw5b1S6puHLEQC+uyVxb2h8TR2sdYU2lXA/vcUURWZrKokjiY01NRxjh68LBNe1pceP8WLR2fXRnF88P+qZqUKkZKLKIIquhWWwkGBQwLI/xohSmhgoCru9x92Fo+mc4Lp4X9NejcE1KHTBWEUXhscTbZsdiZXu/dzc/meZ/84f76/i9tTqtbriG7tR6dHp21Itc3Wnx5aMKg/CuZtvk4lyesWwc3w9ribW+cbUogGX7kQlms2MhikLEDeoaDr//9jzv3Zjqr+HDtcWVnXZkgj3guA3WU8vx+OJhNdr/OK4f7dePw6OtJu3+Z2p1LV69WDoxBajaNFjf7UTfjyyJjJ1Bc5mpseSQ2em34Uw2wrcPom9HAg6AnuWfOQEHMCSmBsA/e6ni//HvH3F7pQ4Q8q1LaX76mDPqy4hETKaUi0eGYNlnNLg/e3fgCM8doijys3fm+fxBBVEQuHlhjI1yN9rUdPWQIPakFIXJYgJBgNXtNlMHHJp1M3Sd3Sh3+N2tXURBiJTt/+r3Lpya1D9wnO6ZIYFQEiWmiqGjxttXJzg/lyOmykOiixsXQpeJT+6VmRlPkYrJNDoWPdNljJAkF9dkurqDZXsoskQyriAgYFjuqRuUtuMhCiFpjAAIAnTT4ctHVTJJlaXpbFRcKTeMoefuNXpcZwzP96NCTEyT2Kp1Scdlchkt2siF7oX7z9X738XT4uJcnu1KFz8ImComo6LbaaBb+64fBCHp9KTCkW7tX5/vB5iWOxJxPCUs2xuKEjZMF9vxInIDQCkXJ5VQ2K72kMXQ+c0ww3FrOR4d3SYAXC/A833qbad/oAkwTBdVlkK37bhCpWHQ6FrEFBlNCdWCxT6BQZFF3rq6L5oY/H4Xp9M0u6Fb9vxkZoiA/rO35/n8YRU/CLhxYQzdCAsohUyMdEIdSuoYfL5GNzwUNTphesZWVScZs1mcyqLI4pDzzJMw+K4EQSCmythOOMZK+TCGq9mPh5waS7JV7qIpUnQYWtluRYe9Wsvg5oWxY93zXwR2qj3KdR1NlViayY7G0UuISl1nuxpGj7aAQqV7LFlqsC7V2yYz4ylmJ9Ks7rSH1tzYCWvuo81mRNjfqnTp9GxKuXhUpEzEFVLx020ID84jtuPh+gHphIosiSTjCqV84hslGP/+Owv84qNNDNtlphRGPWdT2okJJ7t1na4RJnfIkki1YdAqHnCmCkLhQUyTWd5qUWsZrO12EBi4AR8vMGn3LNZ3O9iORzYVQ7NdchmNy3N5pGPmA9cLonlm4FabSiqM5+ORAOXg2ngQhuVGBy3L9qK4d98PsBzvSBHJdf3ofgif72G7PjE13DP0Du0RdNN9rIgjrslcms9Ta5m0e1bkouz7YXKacWD9d10fx/GQzpgK/mXEVqVLtWGgaRLnZ7LROhMEYdqaJksEBIiSEJKxBTFsKqY0Ls7lSMVlPr1fodG1sV0fSRRo91zauoUqiSgJDVGEUi6BJInUmiZO0sfzA9Z22sT6CTvVhkHHcEglFBIxBatv22C5Pp7n8+WjanRPG5b72KLk02IgDhpAtxxy6XD/K8efnpxweJ/wNPuGrwvdA0k3EBZ+RyKOEZ4GhuVyZ7WOYTo4XpiapakShuXi+wGu42G5AQig9iO9PT/A9wMCArqmw15ND9eT/jxjWKdPYzyMZtf6/7P3n7GWreldL/obeYyZw5orr1W5du28e+9ud7DdwcbYMnABE861GjhC10JCNkJ8IcgSxvIHkJBASNb9gLiHIx9s8L0Yu20ZfDDYprvd7Q7unSuHldPMc445crgf3rFGrVVhV+3aqWr3/Eut3rXimHON8b7P+zz/cKw5eHhWP8Thc3d4lomiBEV/d3X8FFN8PyBJUq6u94liUT+OHCHaiJIEUkhiULOaUMncKCdugCxLWWNbQpIEAf/ccp0oSdBVIxdKADkR/xD3qz3eCbYbsteb4LjirNLMXDaBfBAJ5I779zrLmLrKyxdafOutPTRN4VPPzN1+H1KR2jEc+yiKTL1y/5r11KI4D4eRcMO7s0a+H1o1Kz9zlQv6OxLHH7UGeZJxZ+9paPu3752s9zcVcbw/SNOUW9tDCgWNgqGRJim6IRKjk0QkPybxYXq1ysAO+POfO8l3L+8TBDEzdYvN/VHeHg6jhP7IozNwubTWJ05SLENFVWTCMEGWpVyobxkatbJOHCeP3FO+F1RVplW38kTeUkHlL3/xDEGYUC7qeQrdTlvMG6IkoVEWTtRPcsrLsTN8GOdrOYj++VTEMcUUHx0ORRxn7mNO8yRhrlHICa3re6P3tR8zxccPBVPjqdU6fzLyqBR0ipkJ0WDsPeA7743zqzV22pN7zpL98Hj9uNtxjvUJukMhoDh0uD+1VEWRJcZOkIs/DF0hzb7J8ULSVIg/1FhmaAd5eoefmSbak1Dst9llDEb3TqZI05S13RFXN/q4fpSfGfwghiKcWqjihzED26NcKGFoIjVwZbYkTBDdUJjVSdJ9zw61sskXX1nh1cv77HZsipbOVttmsVXkqRN1/CDmuTMzWIZ6bA7qeKLv6YcxN7eGBGHMXLNwz1mSLEuZIYdIAXlQL/GoCzkIwf37DccLubkt1libkEbV5HMvLLK5L1LbPwjRyBQPxn7PYWN/hJ312RVFYnFGJHK7foShK1y81eXCySaaKrPQLLDdnhBFKStzZWplk4O+mDPWKyarC+J8XmoUKFri/p94YU7OjuOUcdYLqJdNdE2mXNCplQ0sQ+X1a+18PYjj4TExuOdH3NwZEobCZCpJhYhK0xQsI0FRJKpFgyCIsHSDCycb7LRtwjghOdJfd7yQVy7MoiryXX1JUtG7vFPEcSeOcV6AsRNmBm3i42GYkKQpjh8xzZeZ4klGnEK9bOAHMbquYBoKpYJBGMWUC8I8QlM9kgSaNZPFmRLtnousSLjebVNkfCgaIc+cbjKe+DSqFp95bhHPjwijhFbduovDctBz2O1M0DQZUxccQcGFUKhXjGP739HZgaZIWIaSz9xVReZI2cFB383NYQA+8VSLKE4YjH0+cb6Faaj5OuR6IbIs52Lo7sjFdgM8P0aWJc6v1o/1Mt0j13Enx83L5jH3+tp74ehriuOUIIzvK+K4e64fAk+eiGOKKZ4E7PburpM7fYeZJyx9y9AkIl+sSRJgmU9eL7I/Do79+2DgfERX8uiolgzOrtToj0TS1KMmKU2ZV1MA4LoiIg0JnCDCD44XG4eNjXeClCVuVIo6F2/1mEx8dEOhXNC4vjUgTW9Hfc43i3mcmqZIeEHyQOetldkKe12HmapJd+BhGUIV+4VPLPHi2dm7VHFBEBPEoknSKJv80avbpGnKmaUarZrJudUG51eqRAlsHdgEkSC0KrKMIkvvitBStHRSxIPp+BGyLNG3fVZmSozsgBvbA17IiLvnV2t5g0NRpNz5W1OVPLVgYPssNovCzcCPcbyQgqlRKeooipSTwB5V9a+p8rtyRD+KRtnMh/SKIlF+B3FPvWyy6wtSs6EpD3QJmeJuWKaWu0wA1CoGpq5imWp+KFiZL5MkgtgpScLd4vrWgJfOz1Ip6TQ8C0UZoSoSiixzerGIfugkXzKQSKmVjLwpMVMxSRAJFbWywfJsiYIh/nZzjUI2VE7zuD9JkphrFqmXDWaqZvZsR5i6TKmg8+lnhfBDUWSqxeNkjFJB46DvICGRpkK5vzJX5tpmnyBKgJSlmQKDcUAYCSFJvSLccDb2x8iyxOnFCkVLv6cL1Z3v1SEZpGDq/PinT/DHb+xQd0NW54WLgX8ka8x2w6x5lAIyWwc2thMwU7Py5vGHAdsNWdsdgiThhzHru6N7JgZM8dFCUWRRGaeAxDu61D93ZoYoTvN7djzxWd8dEWTNkpMLlXsSnwxdIbVTUsiI3RI//IllLt3qEsUJz5xqEEQJsnxbdX0/51jTULEM4eJbsnRUNSKOE8oFnefONNE1hZvbQyZeyKmFyjuSD4IogSRBP7Jvxhl54UHOtVGcIGcJOHEi3pMoTji3XKNgqFkSTuGB7lStqkkYiuSLOEmolnQsQyVJE8JQDISKlsbm/pj+yMPzIrYPxlSKoql8Z2PkEEmS5kSMUkFjabbEhRMNLFO9Z52gqaJZPc5SDU4tVDixUCVNbzdy7udGVS5oqKpMFCWUCnp+Dxm6QuEeYgmRiFDIRTzNqnXsmhoVM3cKkWWJaun+f8PDdb1aEjG5iiKxn/1cQ1ewTI162ciFbcWMPDzFe8PQ9vNkHj+MWd8b58P4/kiQnxZaRSaeT3coIaUpkpQwUytydrnK515Y5PrmgKVZD8v0sJ2AjYMRjbLJymyZiRdyfqVGmkpCPJRKREmCxG3nNj+MaVTMPMr89uA0Ymj7lC2NME6QJeGop2tqnpQD4hmWJOk9pbI0KuZthxxZonYfsdHhevEg8XG1qCPLUt5IfRwc4I4m3QAPjEyeYoo7cWtniCpLKEec7UxNIY4SdFPGDwxSJ0CRhFNmoaDjhy5+GCEhkr9mahbjTFANsJwN/8MoQVUkJEnK94P7DRJA7BnNinXsjLI0e7w2rlcM2n2Xoqli67fdrB6H53GKKR4nxEdqTYBm1aQzcEhTFQnwdCWvqxdnSpyYLwvykhvyxo0urhcgSaI3VCpoJKlIsHvlwpwQMOsqJ+ZvO/Yd1h5RnOAGERt7Y87cQQQc2QFFS0FRbtd6cZywnzngWabGU0cSsUoFjf3e7e+/3x4XhDG9sc/p5SqSJLHdntCoiEFk0VSpFQ2sbH2bqVpEUUKUJHfV3IosHEaPrlVH17H7fd+XXl7m4lovOzfN5Ol1Uwjc2Xtami3lvUdVkXOB9xTvHWGUMHZCypbOYqtEHCcigcMLGU4CVEVCU2UsQ0XXFBYaFooi8/yZFqqi5MnP17f69EcuRUskz97YHiBLkMQJcZKwMlfOzxrlgkbJ0vI6oj10efrU3QS7NE2P9Sru/Pj6nkiYPLNUoXDHUPBHf2CVS7d6pMAzpxp3PYNjJ2B9b4QkSaiyjKoI4xg/jJHSFEVVPrSkx8NzhSRxz9f7sCgV9Nwdu2RpQoCH6Jc/yAxriimm+GBxK5u/nfoYiDgkSeLMcpXXr3W4sTWYijimeCCqJYNPPztPb+Tl9dzqI7p4a6py31myrspomhCNAjx9qs5ue4KfCcpb9UIuou6FHqahsNAscHNrmPfs/CDGMsS5o1k12e85aKpCwdJoHukf6KowngpDHcsQZ6Q0TVldFK/rzp5he+DS7ruossTI9qlVDBpVg4VmicVWiWbNyvv+h711VZGYbRSoFA3OLFXZ6Uw4MV/mzFIV34/E7ONIDzSKExaaRezVBgM7IMzOafYk5PxKnbMrNRoVk87ApT0QM1BZlvI5x9rOkMHYI05T/L2YSlG/p2jaNNSHcrDuDl0cN2LsBKJ2l2DlA0gmPjwvpGnKfs9hc3/M+RN1Pv3cwiMbhUzx3uEHMYau5LOpOE45d7LGaBIwdg7NUVOSJEZVFAbjiIWZIkGUEIQJaZJw4UQDXZORJJhrFJmpFpBlicWZAtWyyWzd4nuX9wBQlZRmxSSOhWj85EKFgR1wa2fETttmYPsst0qUCrpIuT/yjN7aGeXmZGu7I04tVkASM76DJKVS1GlUTUqZeOQwSTBNU8IwyQ2h6hUTWZZ56bxIGXrzRofXr7YBkWIz33gwea5WMthp26JnLwnzhygSv2M0CShaGso7zCummOJxQxBEIMvo2Rn38NlbmS1xbaOPqsiM3QBTL1IwFRRJpWDpnF+tsbk/IkmgVjZoVk1amQjq6kaPOE4IogRJgplMvGc7AdWSQSvbU+81U3D9iLXdEXGSIAcS7X7E0A7w/ZAglDNDkSTnCjYqohYAMVP7yc+d5PK6uO6V2SL/1+9dwfUiJAmePlnPX6OqSAShWMcOoWu3e1zVkkEYJ3ldlMQpXiI+lyQpe93JsTN8vWLgtqPs58jH00UtDV2Tc3HJg/gLjYrJQfaaLENwC+I4OVZT5L+3nL3+bE2aJgBNMcUHh9nG8TpZgoc2y32cMNcscXNHJPiYhsz51SevB/LS+Sbb+yOiJMU0VD759NyDv+kxRKNivucZ+PQ0NQVJkvJf/uh6Hu/Z7jv8lS+dYzgRqRK6JlMrP/xiJaUp37m4x0HfoVo0OLlYzQlLMzUrV/JXSwYy8Ntfu4nthFRLOj/26RP3PeQ/dbJO0VLp2z5fenmV/b7NN97Y5T/9/jV+649u8L//+We4cFIMoK5v9vntr93EC2KKlspnn1tkea6Iqam0GgVOL1bZadu8erWD7QakqXDiK5aFUOKg7/D2zS6WqXLhRP2BzoSlgsZsvUB35PHcqRmWZktsHYzZbNtsd2yePt3MRRwvnpulaGpsdyacWaqyfKSJ8tSJBt2hSy9zULuxNaRoqqzMl9BUMWh79lSTQeaI906O2h8UZhuF3PW1VjbeMRFgZa5MydIIooTGkUSRKR4eiizxzKkmvZGHqki5e93TJxt0h+Jjh43Ajb0xnh+ztjtiIVP2nV+p06iYrMyXcNyQWtlkqVWiM3RJkpTdjs3VzQG6JhPHCcWCzpnFKv2xj+NHnFwo88mn5xnah4Nkha+/vs1u18FQRYSfZag8d6aJ60fstCf8n79zEdNUaFRMXjw3wyAT/azOlXPFYZqm3Nge0ht6hFFCwVBxPBG/3KqZrM5X8MMEVYI4AVkRAoaTC1WaVYtXrx5AKsRa//M7m6zMlSlaGk+dqB+7zw6dao6+V4eolIS6/8p6n/XdEScWKlSLOt2hi6oIMdeNraFwQ9dkrmz0Dw1++MEXFz+06L/13RE3toYgwXyjMBVDPaaYaxQ4MV/G8YSrzf3iTb0g4spaHz+MKRUEASqIEjHcSDNXBenO3DuBE/MVNvbHRNmQ4vpmX5A6Mrea//mdTYZ2QJKmnFyoYBrqsefuKBRZ4ulT4tlYbMWs7YwYOQGLRUFC+N6Vgzxq/fJaj7/ww6fvuT9f3ejznYsiJv2Z001efmqWve6Ejf1xfs1zjXsr1td3R+z3HIIwJknB1BVsN6BoCjHD+dX6Q5OFZhtFTi9VaQ9cTENlYIdcXu9zea1LGKXMNixeOjfDxA25uTPMHTNFjWPct6AuWTqrc4IMv9gqUi+bYtBTNe9LJD9/ok536BJGCQc9h9evtTF1hZW5Erqm3Pd3aarCs6eb9Ece51ZrpKkg+DQq5n3FMF98eYUbW0MSEs4sHxd3NSomT59qMHHD+w6BQJBprm70ieOURtXk7HKNE/MVQUKJU/H7ZYnTWRpKkqQ0qyaS9OEQbD7OiOKEKBbCx0MBUxzH/P/+4Do3NgdMvIiFGZMTCzWQFPa7NuWCwf/2o+c5s1Ln1vaQN2+0+frruwRhhOPFaKpEf+BiGBq1koHjxXzymTkKpsrazoj2wGHshFi6IoSRZQNNVbhwsoHjhULEI0v0xz7nVmqoqoyqwH/679dui51SeOn8LJv7Y3Y7EyQJzizXHvlgWn+Ie/VwvZBlQV54J8de01B57vRHWy/fCctQ8zrf0JW8TptiioeFF8T0xz6KLDHXKDBTM/nupQNGk4CB7RNFKYc0cD/yqZYNVuZL7HYmmJpCtaTz7NkmjYrFja0hhi5zcqHKWzc6QnxtKCy1SmKoEot1/k5iNwhx8cWbXUaTQNTfpkq5qHNy4XhdfChIjeKUF8+3cDyR3jglAU8xxXEcmhT0MwfZzz6/iAR0hh7Ls2UsQ+Xrr2+jKTJ/5lPLXNsaMHFD6mWDgqniusJJbnW2kgm1Qs6t1PD8CNsJcf2IVt3Kn70gjNlu20zcEEWRMPXbCWBemPAf/+/LtPsOBVPlr/3oOeabQqA1mgR0Bh5BFOMGMYPRbaeqZtUiScB2AypF/b4DxjhJafcc+mMfpONEMkWReeZ0g97IR1NlgjDmP//hNaIoYalV4gsvL+Wii6Htc21zkNekYZwwsoOsZ6bwvSsHpKmoyX/gmdtJorqu5uSO9wtxkjIYe6iK/FjUG+8F9+o9DcY+XhBRr5gPnXgyxTvj8Ow1GPlM3ABFkfDDlChKOb1UY6s95uRClcVWie19G9NQuLo15NbemNVWic7QY+IG7HRs/FC41L5wpokEDMc+6/tj9joTkOCvfOkcn31ugf2eQ9FUcYKYKIxx/Ii5eoFqSac/8khScebzgpjLaz3CKKFS1Dm/WkeWJYIw5tJajzeutWkPXGZqFtfW+/z5Hzp1zMjB1FU+8dT9n7Fb20NubA2RJImFGZHm/Yd/OsrPoudWa7xyYS5Px/0gcLQXeZh4pCoylZLO+ZX6u0qqBrGGP3taPDeGXkOWRLJ3rWRMSYxTTPERoj/y6I99JAlOzj+akdnjhrPLNV6/1uH61pAf/6gvZoonArWyyU985iRbbZtGRcwE309s7I3Y6zrEWU0+U7NoVEzmGyUurfdo1SxqJYOtTFAKQljxW1+9wUHXQVNlvvjyEoau5TPy1fkyQ9snilNOLVaP1RmSJASS2wc2Z1fqjCY+jYrJD7+4wPXNAb2Rh6JIPLVaF6RxP2JjT6QSHBrHPH2qyXNnZtBUmYkbcmWjL1JDZYlyUaM39IW4VJJYmi3zyoU5vnVxj//P77yN40WcmC/zzKkmjaqJ60e5e/d8U6QDigRlsEwFLxBiilvbQxIRmspiq0ijYuZ9z/3ehG9f3CeOU1o1k6dOPLpxW3fo8t+/tZ4ZVUo0ayafOD/7yA6w74RyUcfQFboDl9EkYLZRwPUitg7sqcjsI0SzZtEeuLx4vsV+b8KZxRrPn23y6tU2nYFLFAujg08+PU/B1HjrZpudAxsviOkMXSZewDOymJV1Rx7XNvr5zEJXZVw/4o3rHSZeiEyIJMu8eq3NRtumVbX42uvbOG6EooCEjOuHHPQcXn5qltTS+N7lAxRF4txKnTCOj127aaicW6mhyPDWjQ62GyGR8tbNHhdONtBVWezrwFMn6vSGHrIs0awe7z08f2aGSkFn5ASceIAx3SGKlsazp5uMJgElS6NU0EWSYM0UKaC6OOtPUymneBLw2tUD3rrRRZLglafmUFU56/HInF6qsjxb4ltv7xNGMVsHNvuXHZo1k3MrdepljRvbQ5IEPvfCPNWimZsVnl2u8db1DgM7QNMVzizXj9UVo0nAtc1+PlM4vVTNjZ0VRWKvO2Fo+yiyjGVpXNvs5+mvq/NlfuMPe/hBzEzN4s98apVSQcymm1UTWZI4vVRDkoTo6gdfXOTN6x1qRYPPPLfItc0+YyegXjbvEkQsz5ZIU/L+YRAl7HUnqIpMwVC5kYm+gbuMHZZnyxTNe3PcVOWwD+Cjq/IDhRYnFyqUj7ym3e6E7QMbSRJpw0d7IJWizrOnmrkgc8oJmuJxRhQnDG0fTVWeSCOTgqFhajJeJsiyDCFQf9JwNO3HDxIU9cnrR/7AMwu8eb1LZ+hwdrnB6sKTJ0R5v/Dk/fWmeN/h+mEu4ADoj30qBZ3nTjfxAuEKrqkyQRCx23WolnRqGXFqt2OTpBwr1L59aT93/PPDmG+9tccLZ1t0Bi4XTjZ4arVOvWJwarHKq1fb9AYubhATRGJY9E5D1ZmaRamgUypodEcOux2HKElxPfjN/3Wdf5KJOP7oT7cIowTXDxmMfbYPxizNljmxIMikYZSwuT/G9SM29+3cVW7ihhmZXbjv39gasHVgs9wqcW61lg9g4jhhu20TRglzzSJpkmLqKnP1AoossTIvCDAASQoH3eNxP2dX6pxdubsho8gSs/UC9bKB7YSMHZ/2IOTG5pC9jsNzZ5qYhsr8PRy5P0wcOnU/DKYK4UdDEMYZ2UlFU5W7SNCqIh/7mJHdm5IsQRY5DELEMFsvMHtH7JeuKpiGihvE6JogTpcsnWbVZK/vEEcJBUvj8lofWZJ58VwLXZP5H99aZ7fr0B64OVGhYGkYmsLWvs3EC3GDED+KsAyVr722w/NnZkiSlEtrPbTMWS9OktwhXlcVNvbHLGbpFhfX+tRKOi+cmeGgP2Ew9jm9VMsjUQ1Dpt13qZUN+mMvT8+YZIlCCzPHG5N3vleH6A6EkGVppsjYDSlZOrd2R7lbvu0GtOoWcZzkhGw9E3RtH9gfiojDD2NsR6ynXhDRGXq8cuHJVJ5+3FEq6Dy12hAiqlYxF1zdid3OJL9nbSekM3ApF3ROzJUJogTLUFHu4wobRDGrc2V6Q0GgCsKYg77LtU3RUO2PPBpVk73M0eHCiQYb+2Na2d50Jw6fjasbQgyiawquF9Ef+2xmIgwQThk3toacXqrmDlWWoeJ4Ed++uCccIYCLN7ucX6kKAUf2sfW9Ea2adRcZwvHC3E3joO+I/bRRYKc9YXGmSKmgs7k/5pl7uIPeD5WigWmobOyPWN8Tz7IfxZyar+C4EX/wp1vIMoSRGGa4foTjRSiKn6fx3HmNkgSr8xX6Yw8rc716kEvn4V5+a2eI40UEYUwcJ8w2Cve9Lw5haMq7Gq6oqsxTJ+8/4CkX9AcSZjf3x7n7SG/oMaz5VEvGXdcqSdIHSqj5foMfxnT6Lm/f6pLEIi1mebbEtY0B67sj1GxAsr5r8/JTs2zu2yzMlKmVDP7k4j5+mHBzZ8DG7gjXC5i4IgkuDFPsBIIoRc32rE7f5enMDXdltoIfxhRMJR9cgmgOHm2yHN0397qTPB1GliWiWESK73ZE2lqaCpHFg0QcUZyImGRdyaPXD/FO9+rR9SJJUjb2xu8o4gAei3r5Ttz5Hk8xxbuBpsj0bQ9FklmYKeL5oUicQpw3kyNfmybQswOqBR1TV5mpiaSmjV2bxZkyz55ukqYpVzf6dEcelq7i+TGvX23nA87u0KNVD+66Zy+vdfnupX2SVDjj/dALS3cJOEDsGUf3kUrxySY3TzHFB4mzyzWGtkjU6I99nj87ixdEJHHCdy/ts9AsIcsSv/+dLZ4/M0PJ0umPfeIsvU2WYTTxaVZnaVYthmOfdk/U14ahHq+pJYgisWIkiTiPfOONHYIoZmT7tDPTFceL+NprO/y1Hz0PwMSPUFUZWZYESfmO9N5W3aJVf+c6UQLCw9SR9HZy3yGO9j3+2zfW8uvcbtts7tvUyga6JnoHh869t3aGeW8jjBK+fXEPTZFJ0pQraz3Or9Ty/uWjwvUj9roTZElisVXMTV6SJOXyWi93AV2YKd5XyP9BYewIU5r3Ul94foQXCIMBTT3eOxFugtP1+/3E4dlrsVVEksHJHF4Hto+mKbx4dpZ6xaRVs5BSQXbc70wwdBU/iHG9iIPehDBKqJeFk+R2e0KrUcALY3pDD11TqJUMNvfH/PhnTnJmuUYcJ1xc6+FKEl4QgyzxvSsHdPounaHoSazOlwmjBD+M2e1MqJdN5poFdrsT/CCmNxImLBM3RJYkuiPvoVNqHS/MDS/8IGavO8ELYjb2xwxtP0vnEc/5w5w5bTckjoXY5NBc4PBeLhe0+5ogjCZB3ots91zCOGZ1rsLIDuiNvEc67+p3nOGfdEHXFFN8HHBzRxCyllqlu3oPTyoOBfbXtwYf6XVM8WShXjE/kPms50d5eoUiSzheSKMi+tOzjQKzWT0pZhcOQSY8vbbRZ+KEWKbKxA1Z2x3z2ecXkCQp37/v1xcPo4TdzoSCKRILayWTM0s1rm4M8/o8jlM2922ePtUgyly12wMh3DwxJ4ic+70Jy7Nltg7GTNyQMEs17489Spaez2Vm6xayJPGtt3aJkxTHi7i01qNgqFxa66MqUl6z9cc+P/GZE7x5o0OtbKKrMpfWerx6tY2RJZkcuvgfJYLvdZz8XDOchIycAEWR76px0jRlNAlQZOm+pPSdtp339wumhqmp71rAsd9zCMOYxVbxHVMLD8mrh/3rQ97E4WuZ4qNBydJ47kwTx4v45NNzuQHni+daBEHMwcBlYaaQm0Vc3xwQxglBGGfJlgrdocted0IQJYSxqPsLlsqt3RG3todomoyhKxx0nTzxc313RBjG+EFCEMWEUYypK9TKFtWSgaZJ+b0cxylru0NKlk67P0SWJOZmCpQsDUmSkJCZa5RQBi6jSYjthOx1JoydIN/bz6/UuXCyce83Ae5KDgqCiP2+S8nS7rseFkzt2LN5ON/j0XVVU0zxocMLIt66IYwZ0xS++dYOz56eAcRc7s3rbVw/IoqFoeT6/ghZktAUmc7A5dtv72JqCinw1vUun3p6jjhJsEyVJEk5t1pnNAkwdBVdP27ycXTG3B16DMY+l9a7pCk8tdpgv++wtT9GUxXKRZHOo6kKSZLyzbd2WZkVz+2hwfHRmffl9R6jzCzW0GXSBJ7LXtcb19uYuprPCg/TNtMUCqZK7Q5hh6XIx7g9jh/RG4nZ/736ee9UQ92Lu/VOOJyThFGcJ6amqeBQ3NmHKFraVLzxfYDu0KU/9ilZ2gciuv2gEccJF2918XzBeVqdv7ep7OMM243yRF0QSb1hGKAoTxa/db/n5v+dpPA7X73Oz/61Vz7CK3r3+N6VAyRJol6ysJ2Qqxu9fK3/fsMjdbB+6Zd+iS9/+cucPn36/b6eKT5kJEmSRZ3pDO0AJFhoFtE0BU1T8kOLF0T812+s4bghSPCDLyyy33O4vjkAYGm2xJdeWRE/9A5nZgk4vVRlriFiFy1DZWj7/P63N3j92gG7bYeCpeUuGffDYOxzbbNPkqRoqkJ74Aon7ezzE+f2EFnKCrLDg2H+78PPS7DXcxhPAtp951ghdNikGTtBRjRTcf3jLhI3d4a5U2J/7NOqW5xYKBOECboqU9A1GhWTIIqRkCgV3l2hZepCebx1kCnnJNGkGk2CBxJAp3jyYbshl9d6JImIHXzmVCMfOHSHLl9/fQffj3nqZJ0XzwmB1LWs4aLIEiuzZYoPuOcOH1OJ289rEEZIQNnSiGLhcOkFERv7YyRJCEKubw+ZuCHxkbjjuWaBp07U8cOY3lC4r0jZT5aAOBGiqbETsn1gszhTxNBFs1XNyKPykXVD/KdEf+zRGXi4XsROx2Z5tszG/og3b3QYTXxubaeszFeOHW4eZAx/OJC2DBUk0XDe6UxI0pTrW31atULuMDmaBLmwJIpTOoPbYqzqA6IR3y9IiHVsZa6El0VLT4VRjyeGts8fvbpFEMTc2B7wpVdWHuqwIiGGirYTYsQJ5YJ+X3Jyf+TT7rs5ASJdhM2DsYgxDYVD92FsZ5Td66au8IDH4p7XVC8bjCcBUZzSG7u0+5OsySJj6Cqdoct8o8BB16FaMjB0JdtkZSRyDUd2D9/jd0gSSZIwdkL8IEZR5NvJDvdYnx4EQ1M4sVDG8cV6ocoyaZriuBFxktAdehQtFUNTMHWZatFCQqJZs6iWdNLjHDIOek4uxixaGs+fmXnXrpxeFhObpimKIrH0LkhdnYHDH7++ix/EPH2qzvNZmtcHgTvf52nCxoeDK+s99joThmOfOE6YnynRHXr5/mI7AdttG1mW+NMrB6QJlIqiXh7aHhv7I9b2xreFYRKIJ08GSRAs4zjh2kY/c+qNKBfEzzY0hWrJfKAg6RCVooahy6iKGBRWS8Zd98nD7L8Xb3XxgxhJEoTVh93P3u3vehxx6HI8reOneBTEScrA9lFlQUwuWYJoe/gsiDr69rA8TmHiBJiaQpyIoWu9YtAdufzGH1wlSVNatYJw2xu4NKomM1UrPzMf4s5nLYoTrqz3cxeuOE7pjz3g+9cVZYop3g9IkpTX8INseFOyNEa2R3foEWVn76OPqIRE0dIEYUkSpg5RJBK+wjDmj763ycgWJKAvvrKSizhUWWZlrowfxmiKzPreKD/b7/cnRHGMqojzsHJkEZhvFJhrFIiiGEV5d6LjIxfN4kwJzxfC03cSGh/lDCVpyo3tgYgzlyCKYoIwJYxi0jQB6fbw+JCIBYjzyXtAkqSkkCcTAEy8MH8vXT/KBRwghs0fpojjMKUMyNP03i2Gts/VjX6eUPjs6eYDk4ineG84PHtJkkS1ZFArGSSpLdKwEYKA00tV+iOPP3p1Cz+IMVSZhVYR1w+J4lTce15Io2zieBG9sc9B3+OZU3U6AxcZCfVInSB+H8zWLPZ7EyJTw/cjcW9njryjScDW/hhDV/P7StdkZupWflosWJoQgCDcNN9NupYkCTH46lyZge2z07G5vNbjoOfkSSASx3uD98PWwZidthCT18oG51fr9Ece17YGkIpn/9nTzXumQd95rri7FznFFFN8HHAzc9U9/SGlaH8YONzn13ZGhFHy0P2cKab4QCDd+c97b6K6pvD8mRlcP8LQVXbagrQoS6KOaNYsemOf3sh/x/376O/NxwdHh/0IoYOUkTdB9FUrJUMIMPwIN6thDmsB2wlZ3xvhuCFjN6RZNigWdFZmy8dmANKR/09S8COR1JGmKZ2BS61kUAAqJYOTixU293e42Z2w3R4jSSmDccDbt7rMN4v89R87d+zllIo6s/VCxnmQ6fZddrMap1oSqWiSJHF9a5DzEe4nHL9znlSvvLv55dFU9tmGcEJ/kJDj1GKVIEwYOwGqIr/vaS9TvHuYunpXGtx4EghTpijh5taIMEyIE9HPk5ApmhqqIuX9BkkCmRRS8d9RlOB4AZ4fkaLghzFhnDCwffwowfcjdFWmUtRzHoMkydRKOpahsjhTztNw4iRhY9dB1xR2ujatmkWapKTZ70I6vrxIEkRxzNs3u/mZ/I3rnTwx8EEIgoj/9s110ceU4DPPzXP2jjT7Kab4WOHIiODOPr/thbxxvctBzyGMUixTwdLVnKfjhzFhJL5ZVSW+8eYudsa9W54tUiubGLqaiZzuNAC8/d9JkvI/vr3OIBNe3NgSSbqC7ybm9eWCiuvH6KqCcYdjvHRk6wnCOBdwgODkWZnBharIJEnK69fbDO2AalHnx35glbMrNYIwpmBqD1wnVubKH7oZS77QHf6d3jWDY4qPAwZjnxtb4szaG3pIkvSuREGPA2w3zAUcIExonjQRhyxLHA0HC6P0ieTI3Cmjlt/pPPWYYjDy81rPCyJGE/8jvqKPDo8k4vit3/otfu3Xfo3PfOYzfPnLX+ZHf/RHn8ib+fsdSZLw+9/eoN13UVWZ1fkSC80SLz99t8v71v5YCDgQZI1vvbXDcBJSyA5kVzf6nJgvs9gq8QPPLrC2M2QvI3Z+8ZUlgGNCie9c3Gcw9klToXJN0pRG1URTbt9H/ZHHmzc6ALxwdobNA5v/+Z11ekOfgqUy3xBOGH4Yo2kyJxfL7PccWjWLH/nkCr/91Rskacpis8jiTAldk/HDmP3eBM+PRFKBBLWKgZspbYuWQnd42zHCMlRqJYMwSmj3HUqmSgpsZZH2iiwzsn2KljgYK3JC0dI4vVxj7AZ8440dFEVhebbIa1cPuHCy8VBx6qvzZb535QA3iITbYDZENaZR7N8X6GQJEYeNwEtrPZ47I4bpf/LmLnvdCUmc8uqViOXZEvs9h4kboKkyrieETYdDiiCIuLLRB+Cp1Tq6rhInYujbH7sMHQ/PjzA0hd7QJ4yG6JpCuaDn0Vt+EPH2zS71skWzarB1MMYPEoqWysjx+eSzc7h+RKNsoEiw33Vw/QhFkfjsC0v5oVCWxIFqYPsszwrH0CQVzsKvXJjl8nqfMEo4uVCm3ffYbU8oF3VadYu9jog37I08dFWhUjSIk4RnTjbws9SSSlGnVb9/gTtxQy6v94gzx/MLJxqkCFKIrik0Kha2G9LIRBzCmV/KHPgVFmaKSEjMzxR5/syHo/zUNYWVuTKbB2OKljaNI36McWNrQLvn4AUxuipzdb1/z8PKUquE7Ya4XkS1pDOTpVS8eL5FFAsh4P1qKk2VUTIxpKYqkMWAlgsGEoJUlKZQLQrH/PW9Ec+dvlt8ECeC9GRoSiYSKovUijCmUTWplQ1eONtiq21jj33qJR3XF26ctbJB0RLpNGmasjhbojt0MQ2Fc6s1hhOfZtXMG7OnFqv3fD2GJnNlvc/r1zvIEnzqmTksQ+XEQpk4BdKEgimGO42qiamrpGlKu+8SJQmtmnWMYDTXKDCwfSQkFppFJEmiYKpMPJEiUjA1iqYGksTADrCMBNNQmKmaSJKEaRwnK+10bDYPRgRhwsJMkVWvjILEV752Ay+I+InPnmBhRqSnXFnrkqQiyvnoHq8oEpomEwTivX43GpBvvbWXk2Rfv9Zhebb80IT3KE5o910kifumsBzF6nyZqxt9wjhhtl6YJgV8CIiTFM8XzlRxIqYUfhBxa2dIvWIgSaJxkyIEVaamIqsyJKJGkCThjja2fWwvIgiSjOwoIysSmgJRktAbueiqzImFMjvtCaeXBPE7iGIUSTjlPUwUeMHU+dIrK1xa62EZKi+db2FoCstzJbYObBRZemA61dD28bOBaZqKBJ6HvactQ2WxVWSnM0GV5Xu6/j8qvOwMoGvKB5Y0891Le1xeE7XY2ZUan3lu4QP5PVN8vJAkKQd9QWw0NAUtG4g6XsTQ9llqlTk5X8F2QuI4JhgfVyP6QUIQRtiTkIkTsdgw2e1MMDOi99rOPj/4wgITN2Sva+MHMSuzZRRFyveDO8mZQRgzW7PY7UyIM5JB8x2em7ETMJoElCxt6kr9AaEzcAnCmEbF/Ni4DH+/43C/G4w94RRZNljbH6NIEhdO1igVNGwn5NRShZW5Eu2Bh6qIQc/mwVgk0gaREEqHCUqcculWl2dONnH8kNOLFUpFjf6en7ld3v7dzUqBievTHnjUSgY/9Ikl0XtIU5ZnRYrP2u6IpZkiizNFvvrqFkAudrbdkErx7mStIEpwvZByQaNZNfjuJeGW+/Qd7pl+GNMdiP7ky0+1+G/fXGfihCzNlihZOmEkTCvafZc3b3SJ4oTTS1VeOltku+NQLmicX61xeX1AkiTM1W8bNLwbhFHMlXWRdGhoCl4Q5WYvEzekP/ZEaqqpEicJg7GPIssszx0nLXlBRG/ooanKO6aUpGlKe+ASRQkzNeuhrjlNU/b7t00mekOPcP7dEzoP+g5pNukJwoT+yM+dk6f4YHD07NUoG1y81cPzI8oFDdNQ0DWZlJjvXdlHkSWSNMUJQpIkzVwyBWkujFL6tk+janJ+tU69rFMwNRplg829Ma26xSsX5rDdkFvbA757aT/vBS7PligXdDpDl9HEp2jp1EoGp5cqtAfCva1oCTfsrf0RBwOX3sjl2ZNNtjpjNEXm9FIt33cGY5+JF1ItGZTu4xZ5tJ6P4xRDU7GMmChJ8fyISiFlZa78UD2vQ+dv1w+5sT3A8USq9k7bpjPwqJZ0ZhsWC827iYSWoRBEMTttm1rJpFYW61W9YtComKRpmovc7pfmMcUUUzz+OBRxnFr6+Ig45psFipbGxA3Z2BvlyRxTTPFRwNRVlmdLbLVFT/DkYuW+/TVFkfP0iM9/YpEr6wM6Q4eVuQpLs2XaWcJYydIY2v59zU80VWZxpsjbN7vEaUx/IFK5fuJzJ3nrWofL6300TeEzz81zdaPHbtfBD2PqFRNlEmAZKqamYOoKUZSgKjKjScD2gU29bNCsW9iTEMcPaVRM9nsuN3cGVEo6O+0JmiZxdrmZnUlS9nouyBK6pvCDc6LPJ0sSYRSz25twMBCzkyBIqBQlXD/k1vaI8yviDNQduqzOlRiMfZI05fRilTi9TcEa2oEwwpGlXMABoh98J+HU8UJkWeLCyTrjSZjNdt7d/PJqNkMGOOgJo74HJRoe/s4gez8fNIOY4tGQz8TiB58Xh7ZPb+iy33coWjrVos73rhywvjvCdkIaFSNLxotYapXww5jRJGCuWcF2Q9p9hyCI2es52F5IuagTxin7fRdZlhiMfUxTZXWuxNAOCIKYmVoB01CI05RWUWd2pUq9auJ6MRdO1DmzXMMLOrx5vYvjBTQrFu2JMKoRxghCoF4u6JxarAjRiC9mFpWizsJMkeTIs3HI3+mPPYZ2QBQLUUrRVGlUTFw/wg/Es7+bpXiINxKubQynIo4pPrYwdZVPnJ/ltasHyLLE515YJghjbu0MKVoapqbQG3q4foQkyazOVTBUmTBMOLFQQFMl/viNHZIEzq5U2GnbbLcFN0eWU547NcON7RH1ipElCvvYbki1qLM6X+E//vdLjCYRn36mxWgSEIZiFtgLIgxNZjQJUVWJVs1kYAcMxj4FU+UvfP4Ua7tjbCdkvlk8JsJWFBkviNnvTpAkWJor0x15rO+MMA1Ri9hOQBwLQWFn6HJysZqvk0mSsrE3JopjTi5W31ko+h5hOwHDSUDR1HKjnntBU2VW58ps7o+RJIlTi5X7fu0UH184XviO/34SIDhG5H1l8z2aKX0U8OPj77sExPGT1wvUFAiPiFE+deFuvvfjjrMn6tzYGTJxQlp1i5PzH59ezrvFI015v/a1r/Gbv/mb/Mf/+B/5uZ/7ORYWFvjpn/5p/upf/as0GvePsJvi8cJ+z6HdF8MZU1MpGDpfPEzTQLjQe35EpaTnAowkFW70jYrJxA3xQ0ECc4OYg57DwA54/swM//ufe5YgiO+KUzvEoYpKliQMXaFZNSgVdZSMkJmmKf/f/3mFK+uicXB5rcdw7PPG9W5+IEvTBkVLo1RQMXQVVVFY3x0xdgLOLtf4+//Pl/NrGE8CLq/32Nwfs747olm18P2YeskgjDX8IKY/9nj7pk0rG/T+2U+f4KDn0B977HZt5hpFvv7GDoamIknQHblUCgb9sUfB1FBV4VpXtDSSJOXaxgDHizjoj+kNXU4tVlnfG/MXfujUOzpYAPRGHuWCTsFQGTkBpYLGbL1w32HYFB8v6Nngfb/niFQLCS7e7HF6ucqtnSHDiXA2sb0Qxwvpj7x8iKlrCi+dn6FaEg22//HdTXoZmfr61hBdlbm5M0TNCN6H7n9hnPDc2SbtnkOSCpftIIyRZYm3b3QZu0FGTk7xgxg3SPCDiPEk5H99b4uVWdE4lGWJF8+1suQOmYOeS9nScLyIIEzQNFmkYABnlmpUS4ZI+NgaUC7o+EHEWzd6rM6LNJFyQWfihez3HSZ+hJMRQypFA0WRaVRNmlVLDLQf0CTc607yOMfDZ/7cSg1DV3L3veXZMmEsBrar82X6I5/uwKVoaaiKjGWqH5qA4xALM0Xmm4WpWPIxRxgn2JnYMYoTvKPV8hEcOlAlSSr21KGLqsg0KiaK/M4HnFrZQFVqpKm43587M0PBUtk+mJAkKV96ZZVXnprlrZtd0uzUFISCJH7YRHe8kMvrfaJIiCSePtnAMlRePN869hztdGzOLtUY1nxevdImTSWGdoCmKViGSnfgokgSkixxfqXOwkyB4STMY0DPrlSpl8373rfb+2O+e3kf148AiUtrff7Kl87xR9/bZrdjM/FCVud8ZmoWez2H58/MsLk/ppORSto9l+fOzuSvS1FknjnVJElSTixU2NgbcXN7iKpIaKrCbndC0dIwNAVFkWjVLfxAxzAUypaeibZu48bWkOuZC8JeZ8JL51v88n9+g439MQBv3eryz37mc3zjje28ltrYG/HnfvD2Hl8wNU7OV0hSQbix3gW5MowTXD8iSVJMQxVJC++AIIj4o1e36A48/DDm/EodVZUZ2j5PnXjn2rxoaXziqdmHWkeneH+gyBKVko7jh9TLBrYbEkQJb97oEEYJ1aKOZSiomsRoEtCLPVbmKhQsmf1+QJKm7PUmeF6UiT6FKFLXJFQlJUoS4gTSJGU0CemPA+YaBRZbRUxDZXNvTHvg0h15PHe6+VDE3/lm8S5h2uJMKRdNPQh3DpjeLalyebbMUqt01++KooSvvb7NXndCrWTyhZeXKZgP96yFUczFWz0h7EY4ar/fzjtJknB5/fYg9PrmgJfOtx5K1D3F9zeubw0YjMWgXpaFA//ybBkviLiy3sMPEyRZ4plTDdZ3FUaTLvERHUcKdIY+iiSRpgkX1wfUez4nFsq06oXMnUVirm6x3R6jqyqX13ucP1Hnkxfm7rkfGLrK3EyRl2RRE8w3C/d9ZsZOwKW1Xm4Dc27l4dN3png4HHUi3+1OeP7MzCMR1qf48BFECV/93ibtgUurZvH5l1fyHsBoEqDIUk4+GEwCTE1GURRcP+EvfeGsIB2pMntdm0u3epiGRsFUqRQNkjTl5s6AMExQVWFl2R66fOfSHgCX1nqcnC9TrxjIkkSlZNAf+aRpSrWo89RqTRgtqDK3doa5I9xmVgOvzJZJ05T/+sc3sV1h+rCxN+LcinCJ3ZaEocTEC5ElCVNX+KPviTSBoqURRiJBMIwS3rrZ4Qsvix5kFCdcPOKuCXDhRIMkSYiShPXdEX4YI0sSm/vjzGlXPAetmkW9YorXUzT4/EtLJEmCosiP5FK925nkhhZeIPoYlnH4cySubQwAsbx5fiQMLGQZ9YgpjUgg6xFFhzVGyOr8vQez63tjDrLkg4O+OPc8iDwuSRKaIufvl6JIj0Saeq/12RQPhyRJ+MYbu2wejKkUdL7w8jKSLPPvf/tNJl4Eacrp5RovPz1Lt++x3/GwnQhdVTD1BElSmakW0HWFnbaNF8acXqqwNFvioCfEfOv7Y4JIEK4mfoRqBwRhzOb+mL3uhINM5F8tGVxe61MqaLQHLsOxj6aKesPQVJ4+2aQ38pAlCceP+OprO7kv5GytwEvnZhmMhTj70lqPhWaBm9siwXKnbfPMqeYxE6ejOKzndzsTvnt5n73OhFbNolrUOH+iwWeeWzgmMO+NPJGuE8ZomsLiTBFFkTE0hdHE59UrBwRRQhgmjByfg76L58coskStZNKqFY6RNJIk5Y3rHTb3xkSxIIc9farBUquELEskScrVzX6WYiTSwkvvIm1kiimmeHxwaydL4vgYiTgkSeLMUpU3rne4vjWcijim+Mix2CoJ07NMuPBmNruH+/fX2gOP+WaBVs1AURV2OzadrK/eG/lcOHX/HnaapvTHPgVd5ebWiChL2Pjdr9/C0BQsQ6E98Pij723heiHFLEGs3Cqy2CpR1BX+16tblItGZqAjMZ4EBFHM5fUeEy9krl6gVbMYTwJ+75trDG0xm1UViT/zqRWCKMV2Ilw/xNBVWjWLM0tVBrbPXFZ3beyNSeKEJBa9WUWRMjK6kc8gdzo2W/tihnJ+tc7TJwXX4c0bHdxYnENkWUJRZGSJvE4B7jrfeH7ExVu9/PNPn2o8kguyZaiMI0F2VxTpoU0iJEnCmJ4hPlCs7Y7y+dM7nRf7Y48raz2+c3EfJ4iolwzSVPw913dHDGyfrbaYMzWrFoaucmapxubBiIOeS3/scdB16I99ojihYKjUijozVYP1vQitICPJEhVLZWm2QrMiOEKVTMhdLuh4YcT1rRHp5pDTSxWGk4De0OPtWz26Q5eB7dPuu+KZKOmoigaSMHoEkSjzA8/Ok6ZzpCl5b/KpE3XWd8dICIFmb+RxfXPA+p54XZoq06xaWLqKZaoYmpgHtu4wnrnTyG2KKT5uePZ0k6dPCqFSFKe8eaMjUi8libdvdhg7fv5cFUyFF87OkiQJqqqwsTdiqVUmiWPCIObtG708idN2Akxdx3YDvCDi8kafIPvctgRvXm9zbWMIpPzf3/JQVInIE/tSwVDojlwmbogsK3T6Li+enyWKU1RFwnaiY73OY8h6f4dJo2PbFwnGBU30IA9saiUDL4gxdYXkDjv63//2Oq9da0Mq1o6/9iPn8vnivfo0j3r+t52Ai0fmIGeWq/cVpYKYtc41pryf72dUSwbbbTsXQNSeQAM001A5u1xjv++gq8pdPJsnAYZ0PMUiQdRNTxqiOyhEm3sjPvnM4kdzMY+IRslgZbZMEIkZ0vez4ewjsUcKhQJf/vKX+fKXv8w3v/lNfvVXf5V/82/+Db/8y7/MT/7kT/LlL3+Z559//v2+1ineZ9xJHjo6rGv3XS6vdcUBrGjw4vkWp5YqvHm9gyxJnF2p4vkJN7eHyLLE6aUqsixnsYoh2207c8+2eOnczF2ihefPNPna69uUCjqtmkWzYtCoWrRqgtjhehFvXu8Kd2LgjRsdDEXKmxwS0B/5eGGMqkikvnAkBY7FqmmazHbbFi4DboiqyMJ5LIhYbBUZuyFRLNz8bm4NSZKUOE6IJIneyOXCyQb9kYssSSSA58fEccqpxSqjSYBlKJQKIl61O3R580aHaklnMPa5tN6jYKh4QcR+P+bUYpXxJMD2IioPKAK7Q5e9nkMcJyRpShQn7wuxcuKG7HRs4RI4W5oOaB9DDG2fsRMQRjFBGFMvG1SKOgPb5/WrbRRZZjwJKBV05hoFfD9iYHuiqWKq1MtmfkgJMufHQ1y61WOxVcLxIwYjj4kXYxkqaQoTJ+Qws1SV4cxiBVMTB6uxE6BpEgNbOFuULV005iSJsRMw8YJcxGE7EaoiUSroJEnKdtsmCGNSUnRNpl4xqZR0lmZL1CsmSZLw6pU23728T71sUinqgtQRxizMFBnaPt2hSxynuBmRIklTESe80sgPQQ/zfNx5+NNUmXrZxA9jbDekVjKONZcPRV+bB2M8P2KxVWJx5u4GqOcLp5BSQf/AGpbTg9zjj5W5MkuzJXojj4qlc2rhwe4Jb9/q0s1cbE4uVjn5gO85vVRlbXdEFIl0CMtQeeZUk5KlEycpy7MlrMwRdj8jAs3WC8cSIHY7k5xM5HgRnaGXRzQefY4OD44SUCnq6JrMylyJgqVRtDROLVZJgOHIz+LHbd683gYkmlWT2UaBRuX+TYpORsgQ65UQs+x1Hfa6EyRJYuJG3NoZMVOz8tpiYB9xneo7SDc6NKpmTuze604YTQLKBZ1Xnp5jc2+MqauZ06dCHKcUK6IxfCiqWGyW7uk2G8YJYZQQxQlF02LiRux0bMIohhQmScqt7X7eQAfhkOUFEQVT7PGLMyXCKMnXlzubNkPbZ7/noKkyK3PlYwSTZsXk1SsHxIlwJG0+IAL9rVs9DnouUZyy33MwDZXTi1WGk+Adv+8opgKODxfnV+o0yiYzVYuN/RFhmLK+M8QPxb3nugETL2LiRWiaQhgnrO85eVJXkopGLEAqQZqIgUeUpMRxSoJogsZJQmfg8PSpBiuzZW5mZAYQRKaRE7wn93ZJkjIht3D0Phzg3olKUYilOgMXU1ffUSwRxwnDiUgYO+rmfa+fe22rn4vHukOXN663Hyrpwg9jLt7qsrk/zlzIVEbv4nl5WMiyjKrI+bqrKBLqA8TcU0wB5GdbEM+6BFzb7GVnSwd7IogDpq5y0HeOCTgOkaaQkpJKEMYppqFw0Hdp1Qv8wDNzVMsGnYFDuXB7j9ntTO67HyiyxNMnm8zWBSmyWb2/WHNo+8c6oMNJMBVxvM8YHul7xHHKxA2n5/snBG/f6HB5rYfjRfSGLs2qxSeemgVu/10lScILIkxDuFpJCHLM5v4Y1xcplNvtCUVL7JOdgYvrR4RRQjFzvO+OPDRFoVG9/YzbTsBW20ZTFXRVZmm2xMmFCkEoegNDO+DwLtrrOixkBKDu0KNa1NFUhSRJubkzylPxDvoupxdrqKogF7125YBKNny6sT3IjRTafQfbDZnN0jP3u7fraMeL2O1M2G7b2f6vsTJXQZZlQj8mihLGkwDDUBhOfHojjyQRrl/PnYnzXmG9bKBldf9iq3gsue9hcXR4I0kSp5cqaKqCLIuUzhtbQ/wgRlOFSGQ564VMMlGLeD1hvvcf/bveC8Px7fU+CIWQ+2EGx+dX66zvjUhTcRZ9lFp+uVXKnE4jmhXzHd0Cp3h03NwZcvFWF9eP6Y18ylcOODFfxnZDIVKIE65u9jm3IsgW1ZJwnI2TGC+IKBeF+cBhsmycJERZmkU560NpmkK772VkQ5GM8/q1Ds2qmac7p6kwjQnCmLUdhyBMsUyNoinMiva6E57JyJNBGGdrz23s9R1mjrjgul7E1fU++30XyxDOt6NJcF8RB4hnar5Z5JlTTdp9lyRNWZ0rU7J0jvxo1ndH7HQnrO0MUWVhsuJ4IU+daHBmucprV9ukKTQqpnAFtgMkMtKhrmC7Pq4fHTtLeEHEQdehnSUbSpIQzK/MiVc5tP18phDHKVttmwsPMESYYoopHj+4fsRORwidP27OtmeXa7xxvcONrQFw4qO+nCmmyPsBdjZnP8RoEtDuu1nCvZoLJvc6Yl6hKCJh3PXEXu0GIUkCazsjNEXJa9KRE/Dq5X2SRJC4ByOP69t9+iMPw1AJIyEqXZ4toakySZrSG7kYmkoQiSRvKYWlmSIXb/XoDj2RWBhEIKdYhkocizS7iRtygJjTlAo6vZEneippShRLrO3YpIhaQ1cVGhUzL5TSFN6+0WVtd8TEDXH9GEmWqVoqYZxg6HI2z6xyc3vAtc0BiixRtDQO+h5pmnJupc7Z5RrruyPiJGWpVcoFG+dWamwd2MiSxImF4/3UsRPmAg6Age0/kojj8y8t8a2394jihOfPzEzNZx4jDO48LwYxJevu3vLIDtjrOez3xbzJ01VGE1+kbdiBMEdNUmRFplY26Axcdjs2A9vHjxJ6Q4+u7RMGMZIMfhjRGfqkiDQ7240oWSqVkkkYJZxYrLLXFUk6SZqSJgk3toY42czv0lofJJkbWwNubo9ISTF1ce6YqVsUTJUT81VW5kp3zSYkSTqWGvriuVmWWmUkYKZmcXNnmM/vPD8mTVIcNzuDS9yeBWbmZdc2+/hBRLMqzivfz8TAKT7+OOTkTWyPOE7zvTqOUyQk3CCiYGj53iHLMkmS4vlxbgqZShJRLPhpkiQxcgI6AwfXj1FVmYs3O9TLFl4QUTQ1bmXGDiDhBxELM0WCzJhwabZIdyQSbKVsRjFxQ7wgRldldE3G8cK813m0jxcnYra/1BIpm52hmI8evqaCpbDTnuCHCX4guG9H8fq1NnY287u+IeqHRjanv7kzZG1XXHd/7PO9Kwd8/hPLj/SejybB8TmIHbyjiAOmvJ/vdxQtjbPLNfa6Ds2q+cTOzWRZ8HdlWeJJvKOvrnfv+th+b8TqwpPVC7xDv8aN3dE9v+5xhhfEnFqsECepMDN3w+9bY533fAr77Gc/y2c/+1n29vb4R//oH/GVr3yFr3zlKzz33HP83b/7d/mRH/mRd/z+tbU1/vE//sf0+33K5TL/4l/8C86ePXvsa5Ik4V/+y3/J1772NaIo4uWXX+af/bN/hq6LP9q/+3f/jt/6rd8iSRJOnTrFP//n/5xKRTTovvKVr/Dv/t2/Q5ZlJEniH/yDf8AXvvCF9/qyPxaoV0xePN/i6noPQ1f5zHPz+edu7QxY3x9DCu2BS7NqoKkKL55rsbY7YmiLweuXPrmCpso5iVGWJfZ7E753+QAQQ18lc+aP4wQk4Q63PFfmL37+LFsHY96+0aY38qmXTSxDE456soSuyriZildXFVbmSvTsEEkSrrvlogaORLNi4gYRfiCaREXr9m29252wfSBI5Ac9h9lM1WrpKgVT48RChSvrfTqZo/jI8ZGkEpIEzYx8WioYqKpMHKfompKTtGcbFjNVi60Dm9FEuAfIknDYLRY0wjBmkqZoqoKULZ2WoVB4iObHYBwwsgNxeA4i5htFrm8NePYdHM0ehDhOuLLeP+aG8uzp5iP9rCk+GHhBxNWNPmkKmqrQqJqUMlKGF4jDy2KriGEolCyNuUaBg4FHmkqoiky1ZFCvmLnbu66rlAoatiPSAQxdEa70ioxpqNheiCKLZshzZ5qUiwZxAs2qiWlpFAoaIzfIYlKDLCpYwo9i0jSlrOsULYXiEeKXlQ1/QawHEzfMtCEiWvjFcy0WZor5gevtm13eutFhnDlynF2qoigyqiqjyDLPnmoiS1LuwOf6EScXKvyFHz7zrt/fpVYJP4iZuCH1ipm7D5w6Es14FL2Rh6KI1yAINh4zdxy6xk7A5bVe7gryzKnGMefAKb5/0KxaPHtKRGrLssRiq/SOX+/6Idc3BlkSBfhh8kARh6mr2I4gdq/Oia8tmBoXTh4/TKSJIF0cDhqONgPuJPfI92kUrM6XubrRzxokReYaovm/MFOkVjZyd+2rYR/LVNk+GLO+N6ZoafRGXk4IO4qjdcBiq0SlaDCeBEgyLDSsYwwRXZNRlNvXbBkqJUtjMPaZeCHdoUu5IBy1DlO9NvaEQ/Bg7KMoEotzRW7sDJFlMWBZmStRtHRcP4tHlKBwnz1VIs2JWX4UUzTF/j/O1lNJSlmaKbCxb+eN9IKlHRtwyPL915cgjLm2OcgbZWGUcH71dpTzyAk4sVAhjlMKpsbICWlW718/HO7tigyqLIn3GihO16PHFrIsMdsoMNso0KxabO6PkWWZIAoJwpjRJCTOUlziOGE08rEMlTAKSJGwdIU0TgmiWKS9yIghha4QRwl+lEAKlYLGDzwzx0985gSyLFPMniMQX/9e75H+yMubnYOxcPK537DwXmkedyJOUi6u9XLh5up8+R2/5yhB8l7/vh+ubvSZuCG2G+L4IacXq49cYz8IP/TCIt+9vE+SwitPzd7tKDTFFPdA0bpdw48nAWMnIIrhoOextjMiTVL8MKFoaUiSWP/vKeSQhPhCkwXRuFzU+IufPyMaYGmKO19mp3M7ra75gIaxpsoPRQi483ma7kfvP0qWxiRLgZNlCeshU4im+Oix3bbZPBBuW90RnGpP+MRT4nMlS8uT54oFg1bVyk0aiqbKbkZK3O3YwO2kN8+P8AORcFG0NL70yjJ+lGKqMgcDL49llxWJiROgaSoTBHnipfNCQDJ2AoaT285xR9eDSkHPBceSJFEyVXayNNC5eiE/Y8Tx8WS3MEry84auKRhHFqqj4pIojrm41s3XItcTIo7Dn+lHMeWMaOFnYpU0TdHV4wkUjaqV9xoeBmGUoCrSsfPSQlOYSXi+cH5amCnlr32nbedGGUmaHlsPj657lqEec8wtFe6/BhYtLU/dUxQJ4yEJU0VL45lT762npyjy1Mn7Q8BgHNA/rL8DIWh66XwL2w3pjjxIxVl/NPExdRVZlnn5wixf/OQSr13p4Acx7aGD44l0DkWWcTPhzeKMECvFaUK7d3ts5/kR1zf7NCrzlAo6p5eq9Edudq+lBFEieoKhcHiulAz8MGanM8nPpYOxl/coQawJpSP1iR8IQ5NJJkaRJemu3sS9IMsSZ5drtGpWfiaebRSOPUPdkUcUCiOlOBZkksPk04Kp8fKFWbb2bYLMbm6+UcDxRDKOJEGtbN5FPpSAzsjFC6JsKCgd+50P2yuZYoopHm+s7YwykZdBvfxkkmHuh7PZnn19a/CRXscUU9yJO2vfNE3zRJzB2EfKkkUbVTPvIQIsz5ZIU3G2sTNC57XNvhARGCp/+N1Nxhn5crc7QSIlTcS03fcjxpJEraQDYoanyBIrcxXaPUfM5SUpJ8V5QYSTzWEGts9Cs0DRkOkOPTRVoVo0UBQJGdjcH+H6EaYuo6qKSMSQRb2maQoTL6RVt9BUOXeK3e1M0FSZOE3RVZmCoVIu6pxZqnLhZANdVXjrVp+h7VMwNWwnQNOE6UutZOSv+161VLVkUL2PQ3PREvPYw3qt9Ii9zXrF5Cc+e/KRvneKDxalgkZ/JM4SqiJj6vc2KnD9iFFmqGI7IZWCjhfEwjQyFWKlStmAJOXSrS7Ls2WR/jn2QRI/W05TZFUmTRLkLNny5FyZ9shj7I6wdJ3Ti1UcP+LUYoWT8xVSUixd5bVrbcJQGAQYuoIkS2wfjAVB2w/z88vqXIVzK3WePzvz0KaIiizlRnQg7nNNkTNRlYyuKZi6iq7ffn8kSZwbnj3dRFNlBmNxxr+60eeFs+8uyfboXHOKKZ4UHO7NYRRnSbw6SLdNnotH+lSSJHr+h89FEsc5tw1AhmM9DU2VhJFcSs65OTSWVBWZOEyYqYpndjD2hfFENhOzDBlDV3C8CFWVsUyVt252IRVmrM+dbubXoWsKzapJN+vDPbXS4JrUZzAWBnCzDYul2QquF2KZ2rF0XxCkYD8UH0uSSIhIM8TRsS89JkZ9t7hzDvKoe/EU3z9w/YibO0PiOMV2hdHikyYwPMprBPEMnX3CesxnVu6uu1u1h58rPK5YbLyziOxxRKkg+GWqIhyFPii+xpOA9zzl9TyP3/md3+FXf/VXuXz5MmfPnuUnfuIn+IM/+AN+9md/lp/7uZ/jZ3/2Z+/7/f/0n/5T/vpf/+v81E/9FL/3e7/Hz//8z/Prv/7rx77mP//n/8yVK1f4L//lv6BpGj//8z/Pr/zKr/AzP/Mz/PEf/zFf+cpX+E//6T9RKpX45V/+Zf71v/7X/MIv/AKDwYBf/MVf5Pd+7/eYnZ3lu9/9Ln/v7/09vvnNb77Xl/2xwfNnZnj+zEz+b8cLubE95PJaDzeIKZpatnlEtPsuo4mfOwAuzBRZnCkynPj88Rs72E7AbKNIHCcMbJ9qUUeSJIa2z3bbZvvAJk1TSgWdSlGkCHhBxJ+8vY/nRyB1iJLb7uDFghhkqqrEJ5+e5c997gT/7994k+7Q48xylc88t8A33tglSYU6uFzQMhfShO+8vUecpOz3JyJhI00Z2j4HvQkLrRIn5kuUiwa1ssHFWx0294XTvqErJGnKhZONvLmjZRFtr187IElSZuoFBrbPSwstWnWLge2z35/QrJrIssxoEjB2A+abRcaTgAsnSizPligXdSxD5c0bHeaaBRaaRdb3xvRHHgVT5cxyLR8M16smUZwIJXIKN7aHNKsW3lKUL1gHPYedjo0bxCgSGLrKifnKfZ3zDh3FD3FIHJ7i8YEfxMec55oVk0bVIooT5psFvnflgFEmdihmkaAHfRFBGMcJlqFw4UQdU1cJwpgbW0NmawVUxaU39jFNmW+/vYdpKNTLJj/1+bPsdG06A48kTZk4AYutIooscW2zz/a+TWfoIcmCFBlFCZouISGx0Crw2ecXUWSFWlnn1s4Qz4/wgphKSQyIV+bKhFFMf+xTLmgossxi67aA47WrB/zeN9c46LnUKjqSJGOaGj90YRbHj5AQTjKyLJHECbudCYaucPFWjz+9uMfLT8/lZIuJG2bFbsJSq0yrLoqTKBaJBLsdQZIpWhrPnG5iOwFvXOsgyXBqsXrMne8QBVNlZPvUSgbFLFnhTnJUd+jlf7MkSemNvEcScRyuvXGcsNgq5e6kjyv6Y4+N3TFIcHKhct8m8vcT9Gyv2O3YzDaK922mRrFIsWr3J+z1JlQKeu60+yD8ztducPFWD4A3b3T4f/0/nse64/fESYqqypxcuC0eiOMkj1iebxa4st5jaAcstko0q8f/dq9fa3N1o0/BUPncCwuUiwaOF9EdCvf8+WaBJEm4sTngxvYARREJHUGcULRULENBUxSCMCaIEr7+2lY2DJGZqxdQVZnTS1VmqhY//IklXr/aJgVqFYuvvbZNFCfomnD3Hk5Cvntxj2dON9nvOaiySP/pDBzCKGZtd4ShKVRLOnFy+7mz3ZDXrraZqVkszZboDz2eOdXk+bMzKFkUuUg6Mu/bTDm72iBJxbps6ipv3+zz/KkZXrvRJopSzq1WuLY1ZnW+LIbCUkqpoPH6tQ7lomhm38sNN4zE2twduvTHPrP1Ao4f8tq1Nq9fa1MrGczULPY6ExRFQTfeuTF8+VaX//GnmwRhhKEqVEsmqwsVnjvdzElnUzxeOLwHXD9iJov07gxcwjjhmVMNLq336A09kiTB8xMOK7ed3phm2UJVZdJUEK10LeSg5yBJYg1SJBlTkwnSlLEbIyEE1SMnYKczYXm2LGp322do+5yYr7zng7Djhez1JkxckQjQqBjwCI5vh7CdIBdwgEgHfCfC+LnVOje3R4ydAENXHlqg7PqCBLc8W2Q4CZhvFt4xHeS9YHmuzPIH9LOn+PjizHKN77y9x8gJ6I1c2j03F2yZuoLnhwShSOMIo/Qut5VDJAnM1gzmGkXSNOXFsy3evtllY39MtajzwrkWP/LJVS7e6nJza8DbNzvc2h3yyQtznF2p5wOWd4t62eTMcjV35D6szd8L4iTl1vaQsRO84177/YKVubIQm4YxMzVr6pT5BKFoaYRRjB/EQnyZprx+tY0kw0zZ4A//dJPOwGF1rsrzZ+v8/re30VSZ504vsnUwxg9jiqZKksBuEKMoEiVLO7aPDcZCZFm0NP7sZ06wuW/jeCEzVZNbO0O225O8N5dfl6kyHPvc3BnSrJp84nyLr722QxQl/MDz82zujdk+sJltWIyciN7Iy1+Pokh0Bi6tukWKwq3tIcjCNbY/FnXHUqtCwZT5+uu76JrCl15Zyn+3m6Xe7ncdVFVivlHI3D5DVhfKeGHE0BZD2mJRJ87E6qWCxup8hZIl+m1z90jYuxeiOOFSJho1DYWCofHGjQ4An3p6jhfOtoji5FhSHoClqySJcA1sVE3Or9RIEUPqo6mduqZw4WSDdt9B15Q80eReOLVUxTQUwihhrlF45HV3iscX801LiB+yhOjl2TJX1/sMbY/uwBWEKRm+8cYOMzVx73/2+UVOL1UZjEPevNZmbIcombtdydI4s1zj8y8v5yk89bLJi2dbDGyft6536Y09djoyr15tM1e3mGsUaNYKBGEkCE6ZqKqgK5QKOmmaMpwEXNnoY+oq3720z8D20FQJJJmzS1U+9cwccSJ6HkkqTLfWd4WRQm/sUjBUxo5wtl3fHdEbeVimypml2j3v62rJ4LnTwgjjTqFTwVTxQ5F4c+jCVi3e7l2YusqP/sAKl9Z6GJrC82dnuHyrx/r+mLl6gRfOzbDbsekOhQO4ZSh8481dtg9soiRFlSUUWaZ+pIdeLRnMNQq0By6GrrD6Hur3/sjj9WttemOPpVaZ5880p4YvU0zxIeEwffT0Uu2jvZAPAGdWRK93bXd0zzpliikeBnGccGN7yMQNqZUNTi5U3rMbtKmrVEs61zcHFEyNVsPCOdLbO5xFP3OqKeYnBza7XYe1nSFFS6dgavl8aW13hBfEnF+tM3aEgKM39Nju2FiGiqkrnFys4AcRSZKiKDIj26dU1Di/UuPkQpWLt7psHYzZ2POIk4Tf/84GfhARRinVooYEzDUsklTC0Bp0Rh7Dsc9W2+byWpc4SamWDKIYnj9do1AwGE0C6lWTNBGpaIcp32kqEj3ICOMrsyUcPyJNUuYaRVbmyxRMjTQVpk5JkqJIYl7fH3kstkqkacra7gg/jDm3Us/PNIOxz/reiNHER5FkokQI0MtFIzejKZga51frou46ch6a9k8+Pji9VGNHt4licV48XPvjbPadpCLhYmN/TBSnLLQK7Pdcdjo2EycUouckJYhjDvoTDnoO1aLOdmfC06viPOsFMWmcUCvphAnEUUytaFAuG2y2baI4zZLmTW7tDbCdmM7Q4eR8heX5Mjsdm92uTZzEqIpEpaCzPFdiY89mkhlFaqrE6eUqn3l2kflm4S4BR35+MFRURWLshBQtjTOZ8eMheiOP/a6DH0acX62jKhJJAuWixkzVwskMLppVKze9OMqHSZIUP4wfWsRxyG+SJDi9VH2gu/4UUzwuMHSFoe1zdb1PwVKZrQm+0XjiUy4azNZFWsbYCTi1WOXMcpXXr3aIkpRTi1Xevtll4gqThHpRJUkStts2JUvj5GKJ77x9wNgJaVZN/sLnTvAbX72J40V8+pl5kKR8D29UTPwgZvNApAKfW5nlwokGYSRSPfa7bp4aVC7oLLdKzB7p7Z1ZrjHXEOtIwdRY3xux3R5TKRp84nyLztBDy3oFBeP4mfsT51viNaUpz5yoYxq3n/tTy1WubfUZjH10VTnGl3y3qBR1DF1mpz2hXjFpVh8PIXkQRHz1tW36Y5+FZpHPvbCQJ7VM8dGiP/JyI6M0he7QfeJEHH4Qs9udsNueoGsKz5998szDFe3ueZokPXnPiCrDUQ3bXOvJSyStlQ2+/vo2vaHHycUqxe9jw7pHfuUbGxv86q/+Kr/5m7+Jbdt8/vOf5x/+w3/I5z73OQB+7ud+jn/1r/4V/+E//If7iji63S4XL17k//g//g8AfvzHf5xf+qVfYmtri+Xl23FVly9f5rOf/WyevPGFL3yBX/7lX+ZnfuZnuHz5Mq+88gqlkiCpffGLX+Rv/a2/xS/8wi+QJMKZzXGE8nM8HjM/P897wdGf93HExbU+thNgasJ5v2yK6FJDSegO7Hwz0Ro6tYKE73t8/dUtwiDE80Mu3+xwdrnMeOIjk2CZKs2yys1NEUW023Vw/YjTixW29we8euWAOBaNizCKeePaPoosY+kKli7TrBg8tVJhpWWxtT/ih164/febq+n8xGeWuLE9ot13WW6VWN8fMxg5qKqM50eM3YCd9gRJhtEkpGgpeF7A+m6fpVaJSzcP+Pabu6RAFKckacryjMVk4rK5282i4ENev7KPIqW0hy6uH/LKUy2ubXSwJxbdvoOlwnZ7TLWkM554VIs6lYLKJ841+OTTwtXw2uaQwdjHSVPsict47HCQJZjYEyCJWJkT93HZlPAsGV2DJImJwpDuIMZxXCwtxQ9irqwLh8SbOyPiNGV5pog9cXjx7Mw9mzFpmqLKMRNXHFabVfNjfS8/KQjCGEWR8/hcQ1NyF8ZWvZC7+e92JliGyl53QsnSqJaE8rw39sXwUZWZqRbyWKmN/TFjJ0BVZSQkgiBmOA7QVAldU1mcKXBisYquKcSJIEl6fkSxoBNFQpm+0x5nCTQylaLOxItEko2h8OmnF/jBF5a5uT1gY3+M40es7Q4pGBqqKrO+M+bTzy5gO2EefVgt6SzOlAijhN7I460bXdEgCiMGI1hoFTm1WGYuIzi8fbNLZ+jk741IAhANlq+9sUOxqPPUaj2PK3Z9obS/tTukWtLRNYWrG30Oeg5bBzaGpnBioZI3Lw/FFze2Brn7KJC7EpxarKLIMhNPEFMLpnZXg+aQqJ+kKXGcYtyj2HsY3Nwe5qTVtd0RlaL+2BKxkiTlxtYwd1a6vjXglQtzH/FVffS4tTvirRsd4piMsKjywtnWXV+33RbJDbIkUzQ0ZFmmXNQ4OX+7oA6jGFmW73J2OepUNZkEbOwMOLfaOLbmK7JErWzkTvvVkn6syXnQc2lULBpZ2lR/7Of3dWfg8OZ1QV7yg5hvX9znxz9zkkrxOMHr1attNvbHaKpCmqZs7Np88qk5RrZoykgSXFit88a1A7YPbMIwoT1wRMzyfIW13RHPnm6y0CyiP6twbbOP44ZYmoKuq/zgC0t89/I+4wObKEr5H9/ZyARhAeWCTrlosHGjy2zdIo5TXC9krlFkT5oQJyl73QmLM0X2OhNkSeLTzy0AwgV89iGJXXN1izCoMnIC+iNBqHfDiJOLFTRVwXFDeiOXKDZYahVRVSV3Ru4NPXRNZvGIa+8hNvdtRpNArC1uiG0EXN8aEMUpo0nAze0hL51v0WoU6fQdSmWT+WaB2n3cA//rN9dyd5EoCvlrP3qeRsWaOv0/xtjYGwvRRpTQHXo5EUvL7pWVuTKjSUCCxFHvlyRBiA1mCiKxS5GZuBG6KpGmknDgz5z4/SjN4oklJFni1Ssdnj45Q6VoiPvOCVFkmY398V0EzneLKEkZT0LSVBAag/DRHWtAxJ0jkbuAG/cRxB3C1FX+3A+ewnYDCpaO/pD3fqNi0ht6WIZGq15gdf69D62nmOL9RHfgomsKiizhuBFxkhDFot6sFAySJCVOg3cUcIDYk70g4ZNPzzHXLLJ1YDOeBERxSjfyuL414HPPL1AwVJIUBnbAwA64ZPYxDfW+iVIPg2bVel+Hm/vdSU4a7w09Spb2UKkgjyPiOCHJUjsfFQ+T/HYUYZQgZe6KaZpmCQTylMjxEaBgqMzVC4RxgiLL2bBS1Ki/+idX6Q49JEnm1u6A69t9mlULWYLvXjrg1GKFKErwg4hWrYChC1d+yxTigiRJ8UIxRDkkC7165YAf/dQJ4jjB8UL++7c2mLghvaHHqcXbJOWb20P2ew5FU8PzY77y1RvM1ApomsIffHuDasnA0FT6I4/drk3B0EgRz6PnRTSrFmGUMJ4EVEoGsiRSdX/yc6cAIdT8ra/eyBP+vnupzVyjhBdEyKR5/wLgYOBgexFJIgZbs3UrNzoYOz7re2PSJKVSMlieKVF/yLUmihPSFA76Tn7+njgh33hjJ09B/frr2/xvf+b8PYmRfhQjyxLlok4Ui2d4afbez2HJ0ihZ919Dj/aClmfff7Hn0Wd+io8WM7UCP/DsHOOJ6C2tzpX5P//rRYIgRULCD2LsScDm/pgkSVmdr3Bja4ChySRxgqKI4rhc0tEUmdmaECkkScrskSSc0STg7HKd7sBjNAmYOBFRmrCxP2biR0z8iLKlM8zOo9WCTqmo06yYjJ2Q3tBloVnk9/7kFooss993SJKUzzw7j6rKBGEixA1Z72K3M2G7I9Jp3DBG02QhksgIZQChHbDdtu+ZOtodutzcHpKmYli31CqgaRq6KnNmqcbWwZh61s8oF/S7zE6aVYsfevG2GOylp2Z56SnR2+uPPfaytKAwCvj6G210VUECRnbAUyt1ZmcKbLftY6YkJxYqnMiuNUlSgndB8DrcW2VZ4tJaj60DG4CbWwNKljZNw55iig8Jh+7/pxafPOLCg7DQLFI0VSZexMbemNNLj35Wm+L7FzudST43aPddipb2ng3FbCegP/KpFg1kWcKeBCiKcOk+FF4fGsCdWqiy3xXEcz9M8EOPc6t10iRlfXdEikjLWt8dMVcvsNudsNOxMTSZME7wxhHPnGpg6iqbB2M8P2Y4EWLvZrVAZ+gKgXgi+hudURvXi7FMFVOXhMC6VUKSZLqZCP3sap2vv7pFq2rRHbjEcYwsGaiqTL1qMVMrMN9IGE4CVFmmVbPY3LfpjxVOLlQ46DucXa6x27ZJEjB1mSvrfWRFwg9jCqbK2AmxTAXbCRi5woimVavQG/vc3A6zc5143dWimG1e3xoQRnF29gGkFE1ROL2kcHNnmBNO75XU8W76J+9Hf2KKDw4iYebu8+LVjQED2yNJYKdjUy+L589xY4qGioTg5EgpIIlWuyFJSIqC40eULI3u2GehUcD1o6z+n1CUFcpFlThOUWWZnusCMgVTZadtM5yIBD7bDUgS6I0DbCfIDA5VmlWLF8+3CIKE/Z5Lb5SgyBKVos4nL8yyOl++q77uDl32uhOiOOWgL+aIs/UCg7HPTmeSv/4oTrixNSBNwTI0ZEnixXPHZ/uHwumjv6NRMfPZnWkoGJpCGMUPvOf9IGJtZyRcoZFY2x296z5nEMbT3tsUHyoOe0F73YngFpkixfvbl/bxgxhdU/GDmDeudfjhl5ZoVi1Gk4ChHTBTtyCF7bYjTIQVcd/uD3zKpZCCqZOk8J2LB0y8EEkSgsPf/uM1ZqoWaQX2eg6nFiqkqeC4WIaGrovZvCrLuH7M+t6IiRtiGAq1zEgSxM9y7jAhTtOUOOOjrO0O+dPLB0RxQnfo8t3LB3z+E0uMJsJM4k4TqWdONZmpWXnP4ejsUFdlfvJzJxlNAgqGiv4eODntgYsfJPn6cHTdetDf6YPs2b16tZ33RdZ2RzRrJk+fnPYlHgfcOfd+2GSqxwlRnHBtY4Dri7qgVjL45NMf9VW9O+wcjO7x0Xeatj6euCOEiE538tFcyHvAq5cP8HxRxx30HG5uDzm7Uv+oL+sjwSPtRj/zMz/DN77xDSzL4qd+6qf4m3/zb7K6unrX133pS1/i3/7bf3vfn7O7u8vs7CyqKi5DkiQWFhbY3d09JuJ4/vnn+fVf/3V++qd/Gl3X+d3f/V22t7cBeO655/j1X/91Op0OzWaT3/7t32YymTAYDGg0GvziL/4if/kv/2VqtRqe5/Hv//2/f5SXnCMMQy5duvSefsbjiChO6dsR13Y8HC9GkgRZTCl5GInG7nYPfJ8oTJj4CW8Mu+xsb1EpqFzbcgmihLErGiO9rsdsUUZTAhYrOnZvi809EQ+/0wsEL8sf0BmFtIc+O50wK8BAk0KSVKJWlOmMIxw/odsfs75zwLOrBdb2ffwwoVpQCG2LalGlREIn8NneHrDb9nECMTDRFPEa4igiCBPSOGXQjzloD3jtUkoQi+HT2IkxdChlaq61jS1sL+baDZVqSaFsKXQ6Dgkpo3GMO5HY3BTNj/aejONnq2KcMhlBq5ASJx6JDxubQxL3gLKlcGXLZacniOOmLrPa0pl4t1fUYVfB7t0m0cVujBb7NK2E2PPQdJnr110OCgpekLB54JOmKTd3PII4pdtWKRgyWti+b6RjkqSEbowkSTiJzKXB9ND4USFNU65tDhiMfRRF4qnVOqWCzjOnG/THfu6c7/oRlqESxQn1ssmg4hOGSf75pZkiaQqGoRxLiTiauhJGiRg+BjFukJCmId2Rz9WNHnsdh3ZGJp14IbvdCX4QkiLl96qqyJiGRr0CQZQIB0E/4tpmn522zdbBmCBICKMUDEiTFD+KuLk1IIpEQkitbNKomLx+rU0YJdhOQJKmVAoilUeRJV55ahZZkviTt3YxdYWN3SGvXusSZw4zhi7jeJE4bJUMRnZAZ+jx1vUOv//tDUhTVhfKvHTutmum7YT54c4PY+I4IYiOJ55E8e1/3NoZ0u67yLLEmeUqp5eqnJgv0x15qIpMo3KcSD3XKDC0Ay7d6qJrMrd2BgDM1Mx3RQY9FtOYkgskHkckaXrs+uJENOO/38mv/aHLQd/NCHHCifZeOBRDKorMiYUKuibTqhdyosD1rQG9jNh9bqV2rAFfL5s4nki1cryQ7c4Ex4956kSdgqkRxwluEHNyocK4erjfKBz0HcoF4U4b3hEJKtaHhEtrfdZ2hthOkIvBgkxQdidcP8bzI4JIEEoUBT75zBwLrSLruyOWZ0ucWKjy1e9tcdB3CEJB5vLDmCRN2d23GU4CNvdGKLJMu+8wGAe0B0L8UK/oXN0YIJESxQlBmGTPcoLrCweeetlA10Xqx8a+TRClNKoGRVMjDGMMXQxHklQINGVJeldxqOWCjhdEjCc+/bEv3LGyAZeixOx3J6K2QLiSVEsGsiTl0a7tgcte1+HEfOWYI/DhNciyxOpcmXrFpDf28Pw4dwQKopj5RpG5hsWpxSqNinnPfT2O42OvKU0lCpY2FXA85uiNPNb3RqSpuB8WmgXI0jAkGVxf1MUSae6eIEvifynQGwiS1G46JkpErYsEMoLIHURCxJ6QIqcpIAsHXcTvO3TAOeg73Ngecm2jz+deWOTMco00TemPfZIkpZ7dd14Qc+lWlyAUa82dgiJNlTkxX8bxI0xNuSux6t3CNFTOLtfY7zpomvjZD4Kqyndd12giBFiWqd5zGH1mqUq9bJAk0Ki+uz17iik+DByu70mSUjA1SgWdJBHn19Ek4I1rIaosE3LvvfoQaQoTL+Sbb+7y3NkZugMX2wlRVZmCqbHYKgJSvkcfIoxibCfkoO9QytwdP2rcuY8fihhdP+Kg76ApMvPN4mM/GB2Mfa5vDUTKZ836UMhXWwdjdtoTkGB1rkxv5OX3wYWsjpziw8PCTJGnTjQYTHzKln5scOP7UX62imNBFArCBCTQMhKQ40U0qwZzzSLNTJidpIJs7AUxmiLO8o4nRJtDO+DVKyJZduQEhHFCGCWkisx+7/aZxb9DiDmyQ8J4Aik4foQXiAGjnCXbmZmrZZqmqNlrSFNRr8xkrnPH15Xk2BykN3b5L//rOkEg3PZPL5QZORGqIpOQcm2jTxQn1EpG7hZnaAoFU2W2USAIY2ZrxWODVj+M2dgdESYJy60yuiozcgIKpkZ/5PLV17ZJEzi9VEFVMkMGsnoqQxynJAncy5yuYGqszJXwg4SCqT5S3Z2mKVc3+gzt4Fgv6P2E6NPYIHHXeeTdYDQJ8IKIWsl4aCL744R8f1Bl5hsf3f5g6irPn20xsgMsU0WVxP5uGAqqJ+53y1AJwoRuRrabuAGDiY8sgeNGIq02hYiUmYbJza0h3YFLtWxk5hASnaHL2s4IN4iEYIkU0hRFVUgSkbQhI/pazapFqaDhuBGlgoqiiPTMRsXk5vYAy5CwnYDxJOR/vbqNpatc2xhwbrXGUyfqyJLEXtcmCCLCOKZVE47bQ9u/SyAe3TlNzLDdtvPe3Nde24IUCpbGyxdmqZdNFprFfJ15t4iiFNePGDsBuqYQRQmmptKoWvhhQqthMVcvIN/nDGC7IVfXxRpUKemcX6kjy5IgrtkBpYLG8mwpP0MEYcyltR5+tp4dTVqNU2FcNcUUU3w4uLl9mMTx8RM4SJLEmeUab1zvcH1r8LF8jVN88LjzXP2w/fIkSemPRZ1SL5vH6qowStjp2NiOIHGdXa3xwpkZeiOPrYMx1zcG7HUdWnWLdt/NhBYioVjOksbcIML2QmplPd+ff+CZWa5uDtnt2MxUTA4GLmGcsjBTJEnBDWKGtk+CqKsAhnaA7Qb0xz79sYfrh6iKOEPESUpv7DHXKNIeeux2Jky8kIkb4kei3yJJEMXQHnoYqsy1rQFb+xPKRZ1qUadaNfJ9/nBGFsUJUTavPb1YwXbDLGVMYjjysSsm/ZGL48W0GgVKloqERBglHPTFe1EuFPPXHSUpWpqK86AtEosVGTRVyWed96uv7vd3De/z9f2xlxu2terWezLymOLDxdbBOBddH/QdHNcijhPSNMEPE2w3pGAowvwlTZEkkDJTD1WWkCWJakmYCSZIuF6I68foGux3fLwwxtBUoiSlZMmULY2JE6LIEpoqZ5yCIE/5TtOEoe2TJindgcfCTDE3YUvThIWZEtc2howmEfWKwdnlWl5L+6EQnvtBjOOHNI70+Y/ey0mSHpvth1FCZ+CiyBID22dzb8xOZ8Jsw2KpVeJcVsOvzJUpFbS8J/H6tTZpKub7J+4hNhfXFPPWjS63dobousLKbAlVefizSZKkXFnvM3YC3ECY2y7OlI4Z7k0xxfuNw+QY0UMUYs3RxBcJlxnPSCRgKNx5KyqKMB6MkxTTUEV/75ALIkOlpBNFQpTVHTk5l0VSxR6ejiFJwdBkTENmryfmnDNVE8cLmDghsiK+N4wT0R8xVKqndSRJmC0stkoU7ugBXN8a0B+J2fxg7HLQdxg7QrxZKRrMN4v3FSmWCzpruyOSJGWpVbprBijLd88VHwXvtrba3B8LYZkEpxaq70uC+b1w597/Xg34pnj/0Kxa+EHMwPYpPqFGZbYjnvEkgVROcYPowd/0mGHiBnd9bKc/5vRC4yO4mvcPvYzP9CTBu4OT5gbfv33UR+qEb25u8k/+yT/hp37qpygW77+gnDt3jl/5lV95x59152aZHq2+M/ylv/SX2N7e5m/8jb+BZVl87nOf41vf+hYAn/70p/nbf/tv83f+zt9BVVV+7Md+DABVVbFtm1/7tV/jN37jNzh9+jR/8Ad/wN//+3+f3/3d382FI+8WmqZx9uzZR/rexxlv3+pRVGP0QZ9x6IqIcgmWlprMNwvMNwqYN7us79r4QxGRPgxj9g9iIrnA9sBGVzV0TWV5aY5m1eLZUw0kCcZuSGUmoDv00IqCBDK0A8pSAKpPxx4QxSJ+dGGuShSlaLrM7nCIZUjIioId6hRqc0x22iDBKJI5ffo09YpBf+SjFl16Y5+OO6CYRaKPJwHVss7YH1EsyHRGPomsMvJ8ZuoWw7ZLKqu0GgVGk4DTy03iJKVY1ilUYKVVQpYl5hsWkTpgY3+CakSszBZZaApypabKXF7v43gx82Wd50432WqLZtVOd0K9ZKCYGsWayTIugSxIe6ah8vILc7xxo0d/5GOZKp96YY5y4bhbxoVJwMW1XqbeNXjm5G3H9cr2kP7Ip+t1UBSZgqFSK+s8fWH5rkNgHCeMnRA9G3hP8eh4v0RcA9vPHW/iOGWrbXPhRANNFS4Q377apjdyma0X+PRzC8w2CnQGLs2KSWfoUSsb1EoGYUZwVhU5H8x3hy6uF7HfcygYCstzZSRZoj9ykSQR65ckghxdrehc3ezTHrjEcUoYx4RBDBIUCzpxCpahUiqqpKm490xdZblVoj/2hGNHQWdnYqNIadZMFKSwWztDeiPRLF2ZK1Mp6miqGJ6OnYCJG6KowlHv3GqNRtXitasdojjBDyPeutEVBBFZxtQVPvXsLGs7YzRFYnW+TJwkXLzZ5WuvbeEFERIpazsj5hpFPvO8hutHJGmKoasYuiKcyzWFE/MVeiOPdpaEM1Oz6GeD8sOPJUnK5v6YetlEUeT7uhGJPSxlsVXi5vaQ7c6E0SRgdb7C+dWHV4cutcrc2h1CCvWK8VgTqVRFZq5ZYD9T79/r4Pv9CMtU6fRd+rZHqaBj3ofkMt8ssN+b4HoRtbLB82dbaBn5Z+wE9IbiXkwSIfQ6s1ylUhDuk3/pi2f4w+9u0u67tGoWJUvPhiQTVufKXLzVzdeDCyfrRHHKpbUeaSrIVk+fbLDQLNLOnGdrFYNm1eJ7Vw64vNYnThIOBq7YU0yVZ0/fOz709FKF3/9WgutHSIihwTff3GV5tsQzp5rIssQb19r0Rh5hFBPFKZalUi5obB/Y9Ece3ZHLrR3hXJNkwpYkSegMfC7e7OH5IX4QUykalCyNRtXEDxLW90f0Bi5emGAaKtsHQ04vV5m44rB44kIV2wm5uNYjjBIaZSGuMDSFmdrxRkicpFkDS6FkHX/mNvbHmRtYgj0J0FWZJEmZ+CFxlGC7Aaqq4AURM1WT1fkym/tjKkWNgS3WPFLY2BsxW7fyZ2RhpihSFpKUUlHn3EoNy1D5+uvbmLq4xpmKhSTB+ZUGtfLxuuAoFEXhhbMzvH5NpKc8c6pBydJJU5HqIUnSExe/+XFHGAkH7DAWwxLLUDF0FdsRDmzVokln4JKmIowCCVRZOkKATLC9mDi+wwsic9QKgpiCpVIuiPo4RaJaMvjhF5coWhrVkhg09kceV9Z7xElKFOt8++IeJ+bLXN0YsNebZGkYEroi89r1NhMnpFEx2dgf8xd/+PQxsmSrZtHuicSAKBNIHwpNHxWNinlMNLnXneAFEcutMl4Q0R64NCrmXS5zh5i4IVfWe/lQJ84GvEchSdI0/nyKxxqz9QLdoUe1aNDuO0SxhCRDb+RDKtyiFFl6KF+YOE7Z2B/jhTFhlKApEoqisDKnsNwqoakyz5xqZG52Kaahifp47Im9XoILJxuU32eS8bvF4XsSRgmaKjPbKBDFCZdu9fLhiOtHnFmufaTX+SAcOq0DdAYus43CXXXI+4kwSoSAAyAVaYeHf8soqyPPPubv2ccNsxlRYDG7l0sFLR9IfumTy/zeN9bxo4RyyURRJHpDH0mWiFWZKPZJU9jvOdiTAENTUBUZXVNIk5Q0SZFUmZEdMJr4yLJEtayz17WZeBEpYsji+qFwnwzjfJ89MV/m2mY/F/icWCiz3Z4AKRVLxQuT3GTih19c5HuX26Rpyp/7wZMYGUm6YKromszFWz1kSeIzz8/j+RGuH1EqaCzNlvKBsiLLBFlD3g9j4vSQjCQSh/a6E9IUxpOAOJnH0GU0VebkQiUXF6zMl3PSCAgyxvXNQZYeOWC2VhB1uATffGM3J1y1Bw6ff2mJoR3QqFl84kKLG5uC9PnUifoxcUaapgztQPQHm0WGto9lpJiGQrN6/2Hv4VlDV5Vj1zgY+wyzBMOjvaD3C3Gc5AkA9zqPPCwOek6eBKmpMs+daT5R7rxhdHx/8Pz4IyW7mrqK2bhdQ794rsU339zB9UIsQ6FQ0EgTKBc0bDdkoVnAnogUi4P+BMcTbmQSaZ6AabshEzfCdgMsQ4g8dVWlVStka0AApCiKOA+TphQslZMLFYJQGPwkqTBqiZPDFE+J5840eetGVzx7qSBsBqZOFIse3EHPIU4S/vTyAXEiHHonrs18s4CiSMz4Foau4GfOnfMz954dTdyQdiYuvbIxoF4yKPkR//1P1vn0swvIssSzp5tYR0gc/ZHHwPZpVixMQ7mvuMjUZQ76Dn4gXuf51Tp7PQfTUIRZRtlAU2VaddEPLBX0vC8DsH0wzu+dkR0wsH3xvGbP1tgJCKKYKEoZT3wGdoAqQyHr0RRMVRjguCEzVesDSduZYoop7kYcJ6xne9fHVeBwVMTxZz994qO+nCmeQMw1CvRHvujhaQqt2sP1xq5vDfJ5Zq3s5bOvOEkZ2H5uTpQgCOOKIjOaBPhhkv2/SJRQZIlaSWfiRYwnQmy5uTekYOqcmK+w153g+BFLrRLtoU9n4GLoKhc3+qiyzIXVOtWSyWKrIATmkhCOn5grI0lwcqHClY0+URQzngTIioTnhQwzEUSzWmanY+fO+IYm0rWbFZONvTGGLgQWmiZh6Sr9UcBI9lGViuhFFnXafYcwjJFlkWxeKxu80XOoFA2iOGEw9oRxXJqy3XfYH0yolYRAtVzQadUshpOA3c6IclFnebbMwcBhYIuz3s2tAStzZYKMoO4FEZqqULQU0QuVYGm2hOsGXNseUi8brMwdJ6Lfq39yLxztT7T7LnONwmM9m5ziNmw3xPdjoiihN3SRAFWRGDkhuiqLWlyW0UwJP4yIogRVBkmW8PwEOQi5uj7Aj/7/7P3Xj2Vpet4L/pZfa3sX3mWkN+W62re6SXWTokSC4hlpZoAhQIozkCAMIP4Dkm4k4EiAgLkQdHc0F4IkYHB4DgY6Q0/RqMn2VV1dPit9ZvjYsf3ey9u5+FbsjEhTlVld1VVZHc9FVUbEjh07dqz1fd/7vo9JUCQZQ5eRZJi4EbYXinlDQaJoaSRxmpvSldnrufhhgiKnLLVKlAoGthdieyqJH6OoMtWSjhckrM5VGE4CCoYwi2rk681gHDB2wmlvvztw6I89LF3DMjSSNGW/71AvG8cMCXRNmYrBsizDDWJ++M7edBYRRsL0rDP0KFk6Izugns8Y6jlR+40bB9OZQbvvMtsoHKs3DrHfdUjSjJmaRXfkMXFDLl568rq9P/aZuCEHA5fhJGAw9hkth9P5KcDIFmvq42YcJzjB0yCKUzb3R+x0XBRJCBi6Q5dBbib78oUZbm+PcX0omCq//KVVRnZIECa06hZj1+e1a22SNOPyqTqmrmJ7Im1jtlGgaGqMHfFcX7w4xw/fFckelq5wbrnGxv4EANNUaffd6Xxv88BmbIf5c0kUTBVD0zB0hTTL2NqfMHGFoU24N+YbLy1Of6cwStjan7DdsZElCVWVGEx8HC9CVWTC6P1J45vtybQH3u67LM4Uj/W1XD+m3XeolYzpWvFhMFOz2Os4jOyAgqm9r5FKFCfTZCAy2Ngff2wijoun6ux2HMI4oWBpnFv5bNZHzyoWZ0pPlbL+aYNpKKiKRJwmqDybHNSVuYe5fAtPWBt9miDLxw2q1heevd/hudNNbm0PGE9CFmeLnFmqfdIv6RPDh7qT/uzP/uyJHlcqlfjSl7702K8vLCywv79PHMeoqkqWZezv77OwsHDscZIk8bu/+7v87u/+LgB/9Ed/xJkzZ6Zf/83f/E1+8zd/E4A33niD+fl5SqUSf/qnf0q5XOb06dMAfOtb3+Jf/It/wd7eHisrK0/1Ox99LYXCTxct+mmDcOdSMQwVRVFAUgjiFEmSyFDoTxJKRdjt+IzciLduDzBUicEkFIp7TUZVZc4t1HCDiAQFTTdQdYPb26Np8+bcWouvvlig3XP4zps79MfCRR/EIJRMYmm2woXVOpIMw8ktkqnASiLNZJZmK7krv8zEh7fvdhhOfHojj3rZxNB15ltFXD9kaEf0JxGqplCrmARJTnZRYmRk4XYowUy9yOnlGt/8/AqdoUe75xKEMbqhIyGRyiqLs1UMQ8SnnpqvMNcsEoQxt7dHbLQdkgS8MONLz1m8dKHCcOKjaoNpBJoTwmyzgqIKB1VdU8gkjUatRLkoxCBBrDD3wLXlRRKWaaKqKZqmY5jWdKj0/LkCrh9hmCZRlIh62lQplYrHhrNxknL1bg8/EMT804vVh4isJ/jZ40G3t6Mfv3Wzw1/+eJM0FU2XWtngcxfmeOFsCz9Mpm7clqGSZuAHMYYuyBtjJ+T29oixI8QTSarTqFr8ypfWWJktMRgHggyaCbLAyA6JYpG+UzRVOiORwqEqgjh65VST/sQjy2QaJZ1SUefUYgVdFQ4cq3Nl7uyOGIx9VEWiZKnMNy3u7E64dreH7UWAIKTrusLlU012ujZ+EAv3myTlyqU5nj/bwvFj3rktCK6Hz2mZGrN1i4Kp8vL5WV46O8sP392j3ReCsCBKGNohXh7HXLJEpOuf/uAejapJlmV4QcTnL8zSqllYpoqmimbnXKOAG4g41IO+S5yIxJLDIfCTkhwkSaIz8NjYF0MiU1coF3SSNHtsKs6DmKlbVEo6SZI+E03StfkKs/UCEnxoZ8TPGvZ7Dns9Jydpx2wdTB75uDgRrjeqKpNmkKQpGmJdP7oODO2AsS3I/pahTgn6f/8bZ+gOvamz3OH3dYfe1EUhToSLkwTThmSaZvTHPpWifv/np2LI0R0K4Ygiy5yaL3Nxvc7lU61HOsIKN8uIM8s1Jk5EZ+TQGXqkqSBNvXRuhjdvddBVhbEb4gYJSzNFLEPjhbMz3N0dMZoI9+c4TgnDBMvUKFo6pYLK7e0RthdhaEL08YVL8yzNCIfdv3h1k+v3BgRxQsFQuXK6ztAO2G7buYOoBmQ4viCcS0DR0ji/Wsc01GP3Y5pmXLvXx8nXqHrZoFTQmKkVUFWZu7sj3rvbJ4wSwjjh+bNNbm4NOOh7RKlw11psKWRZRpxm6KrC+kKVi2t1VEWerh+SJB1bS8oFnRfPzRBGCZahIssSawsVZuomrh9TKRjEqRiuPAlJ6u99dZ2Xzs+QZbDQEsX+UWeS2UaBU49xEzrBzxZhlPDunZ4gAUrQqlqUizoZOeFSlugMRSrNcOwSxhkyoOkyEsKJ349SojjOMzfuQwIkSQwjmlVDkIQkaJQtfvnLKxiaiqmL622xVUIGXrsmGqWaKpOkGft9l9dvdEjSlKEdICNRKmh0+h6KIuH6EbIsMXZDWkdEHJqq8NzZFtvtCbtdm+22TW/oc3m98ZE4S71+/YB37/QA4eITJalIC1QkvvWF1Uc2RG0vOubKNXFDFnj2nExO8PMN01CnZ/9aSac79umNfN68cYDrRQwmAV7weDcSITMWUBWJNE0ZjH1kScIyNExJDCJncqHy2Ik4t1pjaabEbL1AtWxMxc1ZBv2R/4mLOI6+J6auoCgythsec7c6TBv6NOPBEuPjNoaXJI5dEA860T/OhfwEHx9M/eFr+VAcbRoqV8602O861Eo6//N/eoUwr9ezVKbaKJKlGbIsMXICTF3B0FUGE58bm0K8oMgSjbKOLIv0hFtbQyEAA5AzfC/GCwS5er/n8BevbAIimepXvnwKxwspF3W+/ZNtkjR31CKjroh9WFclNvbHU6LBnd0x/+hXlwgicYb9k+/fI0lSUiTeudUTwtJM1B9fe2GRiROg6yqvvdcWgg4gTUTaY6WkoyoSbhBRKRokSYppKFy92xdmM0DJ0lAVmaKp4XgRaf5+AGzu3Sch7bRtioZIMiKD/tib1tqen+D4MUVLI45TXjgzw8VVYUTzoAvfYYIqwFyzwIvnZgjC5KH64iiSNOPq3R6eL/qhawv30zA+9ntQksT1kh1+KD21gAOgl5sLgCADjJ3wmRLAekH8qd4ffu1rp2j3bKpFnVpRRzc0ygUVGZn+xKNWMWn3XHY7NkMnJM5r/STNuL0zRFNEX6szcBk5AZYh7ofTi2WCMEGWJdYXq/QngoxnuxGaIlMt6tP+YTkXVkVxwpefW0BTFUZ2wPZBxvJcmaEdUi5oHOQOvwBjN6RRNbm9M8bxYooFFVUW5K5LpxpomkIUp1zKTYh0TTkmjjjEnZ0R1zYG9IYe3YGHqSvIskRn6DGXn03SNGM4Caakqo29Md99cwfHE47ZL1+c5dRilbX5h+tdL0wE+TFKUBWZZtXkay8s8t7d3tSN2NAV7uyMhOHLA0KlB+8ZSeJYukZv5PHO7S7dkRChWKaKpatcOd2kWjJYnavwwtkZ/CCmWNCFiOYEJzjBx47tjk2Yp4LPNz6bPYCzy4J8dXt7+Mm+kBM8syiYGi+ca33gefYokiSdnodBiJKTNEMCrt3rC+OJOKVaNmhWLAqGxju3uxwM3JxMnScQ5z+qkQscxTxPY6/n0B16LM+WOL1Y5cxKldl6gf/6x++x17W5szsmSVNOzVeIk5TnTjcpWBqLrRL9sY+hiZpKVWT6Y5+Xzs/ww7d2KVlifprIYiaTpDG9oUgfu3y6QcEQ5xxJEiTqpZkUSQZLV9np2ARRQn/sIksyK7MZg4mHfTtk4oTc3R1RMFScIKFoqiiKzPpilSQVplBJkhFEIsk8ihP2uy5jO2CmXmB5rsSLiy0UWSQtylJOlE9F8oEfJlzfHKDmcwNdV3DciKWZIq16gfXFKmmc8J/++D0mjjjj/u3PLfPl5+9zax7VP3kUHj7znPQHnhWoqoQTRAxGPo4XU7ISjHzGvLZSY2WuPHWsv7XtocgKg0lIvWLg+BH9segzHBqBlQomqqJgOy5BFCNlEq4vcX6lTrmoc2qhgizD5y/I2H7MbM3k3GqDJM14b6PPftdhrzeBTCJJM04tFJmpFzAMhSzJsP0IP4iYxBm1kj6ti1+/fsCrV/cZjAMCI+Xiep3bWyOMXOh1drl2bGa+vlhlrlHACyL+t7+4ydgJSZIUXVemhL+js7kH8ahz/qNw+Pl6xaRWNlhbqDwVyfvw+w/vURCEcT+MpyaYh33XRtU8MVc5wU8NSYLvvLE7nfeXLZVKUadgqsiKTJxk/L2vrHIw9JitWVRLBr1c1BnFKf/9B5vTvskP3t7D0FU09TB5MuPli7PsHEwoFw0WmgWiNGM0CWlWTJZmS5xfa+AHMbWyxo3N8fR1CeNJCUNXRP8rE3w2P0zQVZkslZhrFKb8v72eS+NI7+nqkTl+EMZ4fkgUp8RJQn98v2/1KMiSRHrYEJem/wHA9UP+6Hv3cuMH+FsvLnJq4clFDnGc0hm6WIaYvR72PZGyaWrWoyEd79N/jPtuq1bgN37xdG58baJ/iDThE5zgcbB0bZrEkZA91tz204z97vChz41sH8t6dvrfILiJrn9/Vhylzx53rzP06I58wjBhr+viBtEzKQz6KPChVupLly7x1ltvPfJr77zzDpcuXXqi52k2m1y+fJnf//3fB4Q4ZGlpieXl5WOPC4KA8Vhs9v1+n//4H/8j/+Sf/JPp1w8ODgDwPI//8B/+w/RrKysrXL16lV5PEH9ef/11sixjbm7uKX7bzxYGE5+t9iR34xJQFRkrvwFURaZkqcLJT1EIooQsy9huT3D8CNuLiKOYiRcSRCIyXUIiCBLCKEGWZCxdJU2FO9WhgAOgO/RRZInFmRKGrqBrMoYmGiuaolAqaFSKOsWCzvNnZnjh7AyaKqGpwgVsrllCkSV0VUGRJaI4nirZb+8M+cE7e9zY6nNne0Bn6IubOssYOxG7XQc/iKmUdCpFnSBKWWyWOLtcY2m2xK98eY04Fu5h801B4Jy4Ed2Rx27H4epdIcgoGCJF5N7uiN/7ixv8f//qJrtdl3JBFJCb7QmyLFEpGUIkksPUVVbny5QsDdNQmW8V0TUFRZIwdRVFlh8ZZ9oZenkKgZoPTY9HHxVMjSunmzSqwrH4/Gr9oQJ04oRCwAGQwcHA/ekuohN8JKiWDKGslsDQFeHanuPe3pgoSgmiBNePePduX5AxFJmipWGZmnDgkySUfFh6KBhyfVHIjJ1wevCP4hQ3iLhypsVsU5CyWvUCraqF44eEcQp5fK8sSSiKuM8MTcHQFfwgYTgJ6E2Eo07JEiTwC2t1FmdK3NoaMnYibC/mzs6Yv359m7u7I3Y6DgM7IEPUIpoiY+rCDUNVZcggSUUBt3VgE0YpfhjTywnhs/UCuioTJykX1hrMNYsMnYC1+QpnlmpISIwnAaWCEAGmSUqtZFAtGVzf7BNHCRMnEm4zukKlZBwjRRdMDduNpsNoVZEpWBqSJAa4609IfF6dK+OHEYoiHASkvAB7UgHHIQxNeSYEHIewDPVEwHEEd3fGObFaEAI29x8t4ugMROPfzPfKQ7I9CMHBQquIJImG3mxDFAmHwolDNPM1H0kkgCzNlqZrwCFURTr294mTlJET8N69PmTS9Odv7I6ple6TMiVJomwZuH78UDpau+/y9q1ufs+HVEs6YZjhhwmDic/IDnCDmJEd4gYxsiSRJBmmrk7JVpoic2N7yOb+hKEt4pbX5kVSj6GrFCyxvimKRKtm8cK5GU4v1Vibr3Bvd4wsS2i5YG1oh4K4pim5g4eIRA4j4SSm5wQS6xEDKTePSgdo9xz+4Dt3+MtXt/iTH9wljFMmTojthrh+nDd6YOIJB15ZkhC0eonl2TJLLZHcdWa5Rq1icnqpJlKEFOmRzn+aKtbyowSugqnTqhXQdbEOPI3L7XyzNBVwRHFy7Jo62fM/PRhOAqI4ZaZuUS0aZFJGo2KI/VZXUWWZ3tClO3Lxo4wogTABxxfO1IYm9rpH7SySJIr0UkGcEUoFg3LBYLZRoF62KJjHr7f5VomvPr+AZajCmXalznASoGtij/b8mDhN8+tYfI8QjypUHkHiVmQJ24tQZLEOeUHM+CMiyt3ZGd7/99542khOkow7jyEtlAvasQHMT5NIk2UZ7b7L9sGEIPr5je88wScDRZGxDJUgTnG8iLdvd5k4EcPcxfL9xgEZYqBrqGAaGpahis8pMmmakGYZ5aIOkiCEdoceuqpSK5uE8cOi4ke50n0SOKyHDgkIpqEeI4dWip9+97pTCxU0VUaSYHGm+LGf/1VFGFEcnk1ePNd66Bx5gp89HryWj9ZWWQpFS6c/FokNfpjiB0LEaOoKcp7EOrZD3rjZ5dWrba7e6U0FQUmSstN1cfyYwSTgYOChyILYHwSJEItoInlv40jN0h/5OF7ITL0gUgM0lYKpUbQ0ykVh6FC0NAqmztgR9a+iCEODIIiRZYkgjJm4IZqqoKoy2wf2VEwQx0JM1qoVqBR0Xr4wK8RhEtQqBpYhfp6uqciSRL1sUC0blCwd/cjZ+Fa+/0uSJMjc/v06qXqkrilYGnEi3Gsnbsj6YgU5FzTUyga6KoTXab4GCnLGcVJGECXHCGudgScEJJb2vvW+7YZTAQccP5O/Xy/oaTGcCPOOo3WbIkucWqi+bz3yJDCNI/WI9OnZB54UBVM9lqjyaUko7I08ttoT/uA7d7i+OaI7Ctgf+Fy91+Mn1zr88N1ddjoOd3bGbOyNMU0NS1dQFAk/jDF1BZCQZIlKSWfsCgGHIkvIMriBMDqRJIn+2CdNwfViNEVG0w77hjGtuoWhq3lqpYquicSYQxJEq2rRyO/LmVqBuUYB01BYbJWEOBzIshRDFX3D9cXq9PlkWfQiipZw6txqT6YGL4e4uTVAU0QSRr1q0qpayBLTpIxDHL3ubm4NyTIYOaKPOTViesQZvZTfo6YuZhyVokGWQRSLe0WSJG5tD6frUxSnDI7c66tzZXEPSMJ0RYjlzWlNNbBFbRdECX6YkCQpSDByAipFfepi3ahaJwKOE5zgZ4i7ueHN4T74WcQhyfPu7viYWPEEJ3gaPMl59igURUbX7p+rdE0kgzp5f71gatQrJn4QU8prhyhOqRYNioYGmUinvrzeZLFVpFY2mGsWWZ4toSgyMzULTREmM0tzJeYawqiwO/JIUtFn9IKYkRNwMHCRlcNU84h7e2M22zamLmYBtbJBvWRSL+tMPNGftL0ERZKQZSGeV1WZxVaJ82t1ZuoFZuoFRnaIrqlcPtUkiITwolo0MHTRp9/pOFy7N+DH77VzwVhGdyTOA6InKrGxNyJJMhZbReoVgyTLKJkaJVO812EsksVlWUJTFS6s1bF0FUmCclEjiFIO72oJpnOIMEzyxEOViROSpRnfe2ePzsDNyXMpr763f0xwevh3O1pzPgpH+xNLs6Vn7sz/84osyyiaGpoq5oyloo4si5l7ydLoDDy6Qx/LUHH8GFlWSLM0n3sF4uyaCSOFNLduliVhKpYiZvmKIuWipJhWTdzfe12XgRNy8VSDz19eoJK713/x0hyLrRKjScT2gc179wZ0hx7b7QmaIlMpGcRRyo/e2efNWx1ubg+xcpOoW9vDaS/AD2MO+q643lWFLIPb2yOyPB3wsDYvmBpxkmHnM1NFkYnjlNm6hWWozDcKzNStR6bcry9WUfNrfnlO1DaPwkKrJAzwRl6e4Pd0Br+NikmjaqLna9NMrTAVuadpNhVwgOjFnOzpJ/hp4XgBfpBMU6qCOKVY0FE1BV2VRWpkAqauESXw9q0u2+0JBwOPO7m54iGhJ0pED0+SRX0fxgmKLGb2lYLGYCL6EPWqiWmqLM6UaFZNZhsFVuaqfO3FBTGD9yOeP91Ay3sOmirTrJlcOtVgoVXkzHKN5881SVMhfsyy7Nh9G0YJhiru7yTJCKOEIMpIEogTPlDEsb5UQVHE77A2Xzk2Q9jYnzBxRIKp40Xc2hq9zzMdRxyn/Pkrm/zlq1v84ffu8pPrbdJMcCFkSaY79B77vZp6vE+/vvTxmjCauspMzrc6wQk+SoycgIKli/2uYuIG75+M82nE3b2H7/t95/3XlU8jNOV+TScBZxafvTTgt251SZMMSZIIwoR3b3c/6Zf0ieFDVWMPkvqOIk3Tp1Lq/+t//a/55//8n/O//C//C8VikX/37/4dAP/yX/5LvvWtb/FLv/RLTCYTfuu3fgtFUUiShN/5nd/hW9/61vQ5/vE//sekaUoURfzGb/wGv/VbvwXAlStX+Kf/9J/y27/926iqiqqq/Pt//+/R9U/H4OZnjd7I4/a2WIj2eg6XTjWmbpqXTjVo9908llNmOAl4906P7QOHRjXmudMNrm8MGdo+Ey8SZEtVQZLFYNWPEkqWEEgcDj1LlsbQDqZK0qNDi3rJoFIyRHqEoXF5vclcs8D51cY0Muzzl+Y4tyIijKolnQtrDQqGytAWJG4/iOgMXGw3pDPw0XLn6/2ex9deWGTsBPj5ILlc0Bg7IYamcn61zvJsiQtrDVbmylPi652dERNXOJGvzlWYrVscDDyiOCVDuH8VTOFa/L23dhhOAuI0ZTQMmK8XqJSM6fupKjIX1hrsdmwUWWJlroyuKbx4fmb6HkRxwn7PIYwESe5RTsIPDnoeFRNfssT79zg8+D2Pi5o/wc8e64tV1hcfHqhXihpxmuGHMVmS4fsx1zb6XFxrfOAAoloykGV7OqwuWeKa1DVBdH7+TAsAxxPihsWRx9iJBEEsTNA0mVbVQtcUSpbG4kyR2zujvOiTyDJ46fzssZ9pGiqGruD6YU6iSGjVTAqmSpplNKsmRVPj1EKVF8/PUioYbLbHvH69gyxJ7HZtRm7A8kyZ00tV3CBG1xVaVRMvSLi43uArzy2gKjKGpuD5MQcDl72+w86BgyILlxs/jFloCpcty1DpjQNG+WDVD9okccrykXtevC/Hi5bVufJTJ9WYhsql9SZzjSLdkYckSVxef/JY1RN8NtCoGoShIFvLSUa58Ogj1oNr8FHBH8DKXJmVuTK1rcF9Mr50/FqVJImzR4gNIIgFjh8xnASUChoLLSF8TBLhmtruu7heTC9XMS/Nlnj7dlckfZgqsw2LUkEnyAUjEzfCC+NjrpZ7XeGUWzBUCrqGqgr3TuEuFaGqgiRRMIVoQpEl5psFLp0Se5Spq4RxykKzhONHlKyEuUaB1fkK5YLO2kKZv3ljh72OSDQpF3RubYkm7uXTTUqmRhAKJ01LV1icERHk5YIuRG2KhKELd5FDsWqtbDxy3dQ0ZepQu31gIyuHEcYhOwcT4iS9n0QiwefOzfDd13foJyIuNlZk/tYLi9QrJhdPNaaOYod/i48r/vSDoMh5gz0Rhy/jKcQgJ/h4cXivK7LMQqvIXLNAs2Jy9W5/+hjbi0W62gOlVhCl9MZePjRVyIiRJAlVEQNITZYxDYWlmRLLcyVWZsV9+yjX20O8dH6GU4sVyMR9cmt7yGIuBnL8mAurdcZOwJmVGrqiMNuwuHy6hf6YwYauyTiHvUnp4TPsh4VlatO0AVNT0OT7v1Op8Gjic8EUTsCDSUDBVH8q1+h7e+PpUKUz8Hj+bOsh0dwJTvBx4s7uiCBKiOKU/kg4WLpBdCwe90FIEjQqOkszFXRVQlZkJATp0QtiZGB9qcpCqyQcK2UJNR+IgHCNmq1bpGnG2AkoF3Rm3ycG/JOEqshcWm/QGYih6uxTDlU/CZQKOp+7MPvBD/wIMdsoHPsbNirPlpvQzxOO9+2EgFDNz7Ip8Nu/epnhxEeS4b99+zZxTkgmy3jhnOg3Tdxw6iSnKDKVooZliD1zMPFo9z2yDKRAkDEOIT1A1G9UjanjURglpGmGF8SYpsrBwMXNRQplS+NH77Wx3YhqWadU0KZkikNR+iGO1kLVksH/9IsiZdnxQv7we3eJ8rSBC6caLDZLBJEwkTg6mC0cOXcjHT/vfOHSHG/d6hLFot7Zbtv4YUQG/J0vrtLJyRGzjQL73fvCigdrskOo+cD60Pjhwf7B42BoyjFnvQfPRY/rBT0Njjp31soG51fvR8B/FPXI6rwQvQRRQrNqPlOGEyD2h8unGnSGYn94VM/1Z42Dvsu9vTFxnPLunR5pliJLMrs9m4Kh0mxY7HRtvECkVkdJSpamlIs6iiwTRDG2K3p551ZqvHh2hpIlzspJktKsmiw0C7x3b8DYEUlVkgSGrpKkKa1agfMrdWoVg1rJmBpPVEv69N7XNQXXj/P9tUm9ZFAq6KzMldBUhYkb8u3XtkgyWJ4V/bXnzrb42vMLbLVt4iRloVVEU2XafZeNPWHKtd9zuHK6Ob2OZFnCdkMMXaFS1FlfrNCsWqwvVvACYWhTL5vHCBylgga9+96ZlqGB9OhEq4KpcWm9KRJ+DZVWzRLGNUfu56J1/Jo+ep8K9+qZh57zuTNNHC9CVWSubfQYOQoTKUJTFU4vVrm83nyoV3OCE5zgZ4fbuYjjzIcUMD4LmG8WKZiqSIFuT37q88QJTvCkuLDWYDtPHl+eFcSgQ/J/lglDtkpJ5+Jag8HE56DvIssSS7Ml5pui//8ghpMAe2uAoYve/4OpvsuzZXa7E1RZQpIVkER/w9Bk/DDmz360QRiKnuFg4vP1F5cwdZXnzjR5726PVtVg7EakSYamyxi6Rq2ss9gscWqhwtmVOmSCNDRyBJehaJY4tVihWtIJQlEDSfmMRdcUQYJ3ozzBICOKU4qWzkxdCDcXZkpYukqtJJz7t9s27b7DvCJzbqWGJEkc9F1Kpk6tbPDi+Rmu3unx+o0Dxk6IJIn5a6NisjJXZnNvTG/s0ch5F4oicfVenyBMcLyYKBZGdiMn5P/469v87ZeXmW8+eRJR+RPoT5zgp4ckSTQrFmeWMg76LtbYp1YWZgETJ5yahkqSxHAS0B/5BKGUmx7JqDKgiP6fIkvUSwaNqkmzYuIHEf0xU5H3pfUm/ZHHbtdlvlmgqZh0Bh7Ls+VpLT6chLh+hJIbJWZZxp+/sinEGYbKxfUm7YH4fl0TdcdOx2ZtoUIh5yY0KiaSBC+ebfHGzfvEvaKlHUueb1ZNzizXcgMri+FEpJ6vzJf5Wy8ufeB7VykKQ4kPwtgJkCWJVtUiTjOcnBv1NH+js8s1VufKbLUnJKkQeB3OFTT1vrmrqshPbQp5ghM8CF0X/bjD/lbBUvna84ts7I8xdZXFlsXbt+/PIo8muAa5WMLP91RNAUMDPxKmpdWCxsb+WMydJZirW8e4A+WizrkjPamrd3tTLlGWZVw+3aA/8kWfZr3OL39pbfrY7sBjY39CGIfUywVmjnB0TEMlhSnnSZYlVEVGljLIOQHvh3rZ5PMXH52go8oy3ZF333jmKYRU7YFLb5QPQzPY2Jtw5kiazgdx8R7s05/gBM8iSpYwfirmfb5nwVztQfyt52f5T39069jnXlyb/4RezYdHEN1fvzJgo21z+cyzFWyg5ga+WSb6vD+vKRzwIUUc74d3332XcvnJlT2nT5/m937v9x76/L/5N/9m+u9Wq8Wf/umfPvY5/uAP/uCxX/ud3/kdfud3fueJX89nGUfTN8jEx2masd9z0DWF5VlBXt7YGzOcBCzNlgRxww75/lt7uEGELDF1015eKaHICstzZb7x0iLLs2XeuHFAbyRiTxdnSuiaQrvvste1+f5buyiyxMsXZ4iilK39SU4al+iNPew86aNWMvj8xTmWZ0pctXuMnYBX393lT75/j/OrNc4s15AliVJBp142cjVrBjLEccLEDdA0Ef8YJxamIdS9c/Uiy3OCJH4Y634Uq/Nlskw4is/ULDRN5iAng5BmvH27w/bBhC9dmaMz8Jg4YZ4IknIwcqnlEZQ7HZvFVpGSpR0boh6F60e4fszZldrUTfFRB7qVuTJpKl5Tq2ZNRSJH4QUx2wcTsgyWZ0sPDVaLlsapxQqdgYehK5x6wnSBn2c4nvg7ypL0vk4MHxcurDX4yfUO2x3hdN+oGlzfGEAGpxYr7PdcRrZPlkGlZLDYKtLuu4xsMaRt9x3GdoimSszWLeabRcIo4fpGHzMfXu51HQBadYuzSYqhqTSqJq2ayX7X5t27fSZ+yM2tAcuzJaI4oWQZPH+uxd3dEWGUMNcQrjnPn26y3Z5gewmaIojRnaHHfKPI+kIV148Z2gGNusEf/+Aenb5DpaTnz5uiafKxptJSq0iWCZL1pVaRL1ycFS4iwEKrwGvX9rl2b0CQE0ksQ2FlrkStZOCHKft9h4VmgcFERCl7QYzrR2zsCxLMhTUhsBhMfO7liSH1iiA9PK2A4xCnl6qoikyjarLQKlIuPPlBNcuyk5jizwDm6kU0TSHwIixdZbb+6Gb5QrPAmzc7dAYupxerwgn5ETi1UEViTBAleEHEd9/cwdRVZhsFZEkI/6ql+9eZJEmPHNwtzpRo1pLpGaBeNri9PWRjf0S776CrSr6fwZevLIi1Jsfh9/RGHt2hx8HAnQrAehMPL1RJsoylmRIFS2Vzf8J339phrm5xdrmGLMnUqgZZKpqjh8MMP4iI4gTLVKiWjWkcsaEpfOHiHO1Zl639CZXcSbfdd4jihK88P8+ffF8kZfzyF1f58pVFXD9isz0hSwUp7S9e2aBVszi1WEFColkV7+/YDkQMuSpzeb2JoSmcXa6x1xPrUW/k0x0Jl+Ldjk21aHDQdwmjlIVWgb2ew8p8ka2DCWkKL5xt8MK5FvWyOd2/d7s2YyecOofJksTybOmpEmv6Y5/OwMXQVVZyN7InxW7HZuyG4vwTZ0iyEKad4NOBaslgdb5MbyTS4pZny7lTcoXO0MPUFWolk9u7Qx5M201TCMMUwxREwqKlIiMEHGGUEKUpZVWIqc+t1Hjl3QOCKOHSqTq//ze3MXSFM8tVzi7fP5eO7IDXrx+QpvDS+Va+5ghn6pfOzxCECSNHuMXNNYsfOAA8umYdOs9+FPj6S0u88s4+YZzw9ZcW6Qw8DvouzZrFldNCILbfcxjaAUVTY3m2hJTXCaVHnJvfD2GUsNmekKZZvpfrjO379ZMQhcZP/bwnOMGHxevXD3j1vX0kRG2rKTJukJAmqRAUJo8x1xDzFPwwYrZeJskkJDIWZooUDQ3HiygXDVbnytN79cJqna22IGSszJWRJImFVpGF1gcP/4eTQJwpNOWYScLPCqau/lRO9ic4wacJ/ZHLX/9ki8EkoJwPX8dOiIzEfMtiMPbFnmdoFAwVLxd2tqomYydg5IRcWK2xsT/h2t0BpqHyq19e5vVbfWwvYm2+wtgOGdkhmiqzMiNIVWGccnm9we2dIbe2hsw2Crx0bpadrk2aZtTLZV671qY79KiVDb72wjz/49UdMmB1ocxr1w5w/YiSpfELn1ueJnyeXqzyN2/s0Bm6nF6soakyNzYHgtA1U+Jg4OIHMc2qxcsXZnn9+gGWqfGVKwvHCNadgahFDF3hyukmOx2bKBZk8aP9mnrF5BsvLZFlGQcDj4kTTWumkRtRsnTSLKNRNkWypxNSKmiPJfgriszSTIm3bnVQFJkLa082ADENlTNLVfZ7Lromf+R9uCzL6Bxx9jtMfHs/Ae/TQpEl1p7x/qFpfLr2h1GerizLEKUpnh/nyZEKsiRxd2+E7YRYhspWO8QPRL9spmEhAXGaoqsSkixz7d6AiRNydqWGqckEwAvnZjB1BduLCWPhIF0wNVo1izhJSNKUm9t9/DCl3XMpF1S+/JwYTt7eGbE6V2Z9scLGnuidnVmuPiSG1jWFuUaRZtVi4kao+X1+e2dEvWweu5dGdkCSisSMOE6plkTfbTgJKBoquibcsL90ZYHPnZ9BylM8HoeXL84RxymaIjF2Rf9zpmYdS7H0w5jttk2aZSzniaXdkUcQJSy2ipxbqbHTsVEVmSunGxwMPEZ2QBAltPsuiiIfM2jwg5jtg/vPVzA1TF3NXa0lKkWDMEqol02WZ0vP/D1zghM867i7K0Qc659hEYcsS5xZqvH2bZGUfCLiOMHHjZEd8JNrByRpxovnWsfc6E1d5cxyjf2eIxIg832wXhYC4K32mGrZmCZIP4ha2eCFc6IHWbQ0kRq+MyKKE+abRb7+0iJ//soGK/MiIataNDm3UmM35xu8cb2LqkgYunIsgW1oB+iGjIxEwdCYuAFxkjFb0vnc+VkkGQ6GHv1xwO7BmHu5eYahK2x3HCpFjUpB585wJGqFmsXmgc1sXZhgDSc+jh/RHQuiUbNqYOkqv/q1de7tjdnuTKiVTF46P0OWZWiqBJJIKvOCmDjOuLE14PJ6k5Kl8e7d3jRBzdBlqiUDCdhqT1iZL7MwU2L7YIIsSzQqJvd2x8zUCjx/psl79/rIsjiT7Pcc3rzRYf6rH9zHedxM8lFnnxN8emC7Ia++1yZJUmYbFp2Bx53tIeWShqkrzNRMHD+ibhnc25/QHboszRXZ69l4fkxBV7FMca/NNyxKRYPlmSLlosHyXIm3b3XRNYU4zdCyFF2T6Y08BrkQRJagWtbxo4SFZgFZkZm4IaNJgKrKyJLgrLieSOkxmkVcP+bdOz1W8p79IQ7JeV9+boH//qN7BFHK587PYJoa5aKG7wvTSU2Rubk1ZLttI8lwJjdEKJgq3/rCKm/f7qKrMl+8/OFJl4ezhZKliXvvYMJbt7pIksSZxSqlgs4kn7s9LXRNOUbuPsSFtTqb+4LbszJfPuEInOCnhqUr/MY3TvM3b+yiyPBLX1xlebbMC+daKLLEVlvsI8NJQLUkDJteeWcfx4tYX6pwfrXGm7d6ZBnMNywURSboeciSRKNqcWtzyNbBhKKl8n/7Oxfwgpj+xGe+UaBRMafcoVbNYr/rcPvwXL5Q4dxKjVfHbSxD4fMXjt+r/YnP+ZX6dF8aToKpwCFJM9bmy0zsEEWRWFqtM5j4DMYhqirz3Okmb9w4oN13ma0XHhIlHj3DPH+2RcFU2es6KLJEwVTFbHbgUTQ1Vj4gqfqQjwc8tDfWKyZLsyXR67C0qeHsh8V01l/QWZz56BK04yRlqz05xvE6wUeDJEnZOrAJwpjZeoH6Y7g/nyXUKyarcyVeeXefoqXza3/r1Cf9kp4alnW8ZywjUszNZ0xAkDwwJ3bcZy8VZW2+zB985xauHzNbs1iZezb7q+2+y2DiUzQ1lmZKHyoh9omvvv/8n/8z/+W//BdAEAX/2T/7Zw8lWgRBQK/X4+/+3b/71C/kBB8/SpZ+LJ7vcHh6NDr8/Gqd86t1DgYuvZHPxBUxYrWSgaYKdyxNU9FUmYtrTS6cakwV6zsdG0WWaVYtvCBhOAlo1SwsU+N//bNrBHGKF0Tc2x+zkJPKJRn644CC6TGchAwnAY2KiSyDqoiI+L/68RYjWxzGbm0P+Y1vnGZkh8zUTQxD5fxKnd7YFzFqcUrB1OiPAnRV4WsvLPHatQPSNENTZb783Pxj3TlVRWZxpkQQJpQLImJ0oVVkY2/E1Y2+iFrfGTJxQ0oFnXbfJU4yTENlplpgq23n8epW7j7+6APayA6m77uiSFxebz5Wkasq8iOLu6O4sTGYRsc7XsRL+eDrKGbrhWfClfTTgCTNuL4xmCquvTCeplf8rNAZ+hRMjflGgTBKubs7Zr5ZYmgHfO+tXUqWxt2dMSkZ6wtV7u6MKBd17u6MGEwChpMAQ1eYaxQIIhG1e+j0PbJDbmwMpkSGZtXCVFXcIKZa1Pn8xTn+7Ic+IzsiCBPCOOHiWp3TSzXhJpcxXUfGTsjzZ1uYpiCWu36MLCM0VZIgm+33HSpFAy+I+c9/cDV305DY6ThcXGtMBw0TV7iD7HRsVFk0fBtV8yEh1I+vHuAFKQcDD9ePMHSFMNYomBovnJ3hzu5IRDR6Ma4Xo8qiiSvLEroq43ji0OIHMW/e6LB9IJIFbDdC/imaJKauPla09ThkWTZ1ELEMlfNr9Y/MufwEP3vc2RVx2YamkAF39yaPfNzbt3sMJwGaqrB1YHNvb8SphYcHbpoqc3alRnfo8qc/PIAMuiOPWsng8nqTsRPywtnWE6UraXmKTRAljGyRKlUp6owmIaWihq4qDG1BFjnqTFmyNGwvEk52GQxGAWMnJExSglAU+WGUouvC4XtsB9TKBu2+x/pSja+/tPjQa5HkLI8kT7F0lYt5KtYhWjWLVs2apoJ5QcR+z8XUVa7e6bM8V6FWMhi5Ia4fUzA1Lq41uLE54M6OcPnc6zoMJj5nlmpUSzpyCn/54y0cTzgC90c+v/TFVeoVk3rFJMsyvvPGDo4XEycpaZphexGmodKsaozdEMeLuXpnkEe+KmwdOKiKNH3/DwbulCxyd3dEq2pRLQlx54vnxMBm7IQPkUKOwvUjbm0Pc8fekCzLnngYe9B3p+sZCHffTyoN5ASPx/wjxBCHrit+GHN7Z4D0GMOXVELEIcsShqrkscUeGSLafDD22e85/NH37jFTs7DdkL96dZNy0aBS0OkMxfrRqonz4F+9to2b3xN/9ZrP/+WbZ4+5xu73HFw/JohSNvcnIur4fRItDtesjxqVgs4vf2l1+vGD6+Vg7E9dhMe2EFh/2Mbmre3h1Dl87IS8dH6GYkEjGIlztqrIGD9jYe8Jfn5x9W6Pd+/0GI4DuiPhIu1HMUmakWagqiJ16XEZqYNxKGLFR4IIvjRbZqdt883Pr04JDkeJlkVL4+KpRyfJOV5EnIiErAebTn4Yc3Pr4Z7CCU5wgg+H77+9z51dcabtDj18P5oKo4aTgJtbQwD2E4fl2TJDO0RXZYqWgiIrVIoGm+0Jb9/ukWUZYZLyxz/a4ouXxJB0qz0mSYUZBEAYZ1MHvNvbQ/77DzdJs4zb26K2+dufXwHgrVsdbm0PCcKEwTjgzs6Q+Vzk9cq7+7lbn4Tjxez3HP7+N0TCxuvXD0Ttoyhs7I+x3XBK/NrcH0+TQ7tDnyRNp/v8Tseemj6ULO2hZIn3W2fEOiUJ1/4jaRjdgTcVV9uu6J2tzL1/DyBJM3a7otcHsNme8HzpyYaczar1RGlgSZJORSlzzeJja4WjkCRxHjzsBZ44dz4bKBd0BuOADJjkhgmmoaJIYm8Pw4Q4SRnbAXGakWWgJwqeL9JQHD9BloRLph/G9Mc+P3h7n5W5Er/0xVWyLGOuUWCnY0/F/GGSMlcvsNuz6Q58vCDm7t4IRZbQVJn9vsvXnl9EliXu7Ix47kyTM8vVx5KIVEXO3S5l6mUDxwunJjFjO0TX5On9Ui7oXL3bm56v232H1bkyg4mPqio8d0YkXSy0ik9kXqCrMl9/aYl37/Tu1/Zjn9W58vT7b2wO8PMUv92OjWWoSJLE2A5RFfkhM4x1S+fdOz3CKGU4CZi4IS+dm7n/fFv3n8/2Il46N4MsiwTSF8/N8OK542kdJzjBCT45ZFk27Que/owLG84sV4WIY3vI3/ny2gd/wwlO8FPg269tM3HFuaU/8vmH3zx7TDDRqJgPmVSN7ADXj6Zn4f2e81hhraEp05nY7e0hw4kQvU7yed2ltSbNikgXWF8Shlh/8/oO40nAfs+ZCht6ucB5ZAfc2x2jSBLIMoEXABLNskHR1IjClCBO2No/EATUkc/QCTj8jYx5hU6UMLJ90iwjSVU6I5/nzzbZbtuszZf54qVZ/ssfv4cii0SQds/hF19eEUmqYUKzYjF2Av7y1Q1kWZ72YuEI8TMTvZaSpWHncw6AMJLoDNypUP3w/HF5XRjZRHHCVp7CfWGtwWyjwBs3OgAEYcIwFw0/Dl4Qc2NTcApmatZDs4fHnX1O8OnAX/9km0F+j3znzR0qRQPbj/GiBENTkSUxr3rt2gGDcUClqPP2zT6mrqJpEWGcouXJlN/43AqGoWDpKoamIMmw33OZuBGKLOGHKWM74ubmkBSRspmmGZt7E86t1PnjH9xDkoSgO00zZBnOrzV45Z09dE0RZ3A3pFo0qBR1VuYrucg749xyddoX6Ay8qfHU7e2RMJRpltjYH7PQKjLxAr7/5m6efiPhuCHf+qKYFazMlR+5tiRphu0K44oPEiL1Rt50trC5PyFJEq7dG07XPceL+Nrzi09Upz8NCubj+7AnOMGHxdmVukiZOoLDnmIYidl3paiTZXBza4AXxGTAbtfh2uZw+th236NsaRRzM7N7uyOk3Gw1nIT80ffu8utfP8OSIeZwb9/uTknEYyfk7dvdaarH2A6YrVvUygaKLPHmre6xeZ8sS9zbGxNGCaWCxvnV2v2vSRJ3d8YkWUYSZ7h+zNpCFU11MDQhenzndg8Qa4lpKFw61Zx+/7d/sj3tvXQGLuuL1emepqoypxar0z5kvfr+pPvrG33C3O3e8SI+d2GW65sDLF3lq88vUC0ZLH0EgouDwf1Z/zjnR35UHL87O6PpOWvK8TqZd34k2Nif5MbjMHJCnjuSRPtZxXDis9W2mW+K6/7NG12++YWVT/hVPR1se3Ts4xTQnjCF+9OE6AERh2U+e7/D/+9vbuH5CRISnaHPn33/Lr/z95/7pF/WU2Ew8aeJ1GM7nJqYPS2eeFVuNpucO3cOgJ2dHVZWVqhUjqtfdF3n/Pnz/KN/9I+e+oWc4OPHTN0ijGP2ey7LM8Kt7pBsYbshWwcTXD/i1EI1F20Id98sTfH8AMsQjRRNlamWdMZuSHLEKnjihmwfTPCCmIO+wxs3D1ibF8rdIHfZT9MMP4gJ4oT+xCeKRGEXhKJB4eX/H01CKiWDLBMRhXGakQTCSey9uz1OL9eplnQ0WeLACZhtWBRNnf7Yp5k3jMI4IU4S1hcqhHGKoSkPqdCOoj/2p+RJ01C4vN5kZa6M64u41SRNCMKU7shnfbGKKsvYfkgUpVPCv5M3pg4Ppo9Cb+RP3/ckyRhMfCzjwx3q0jSbDm1BkGaSNEP9gPi4EzwecZIei8zzg5+9UlGShFu+aSi4XoymKtOYzYkTYeoqaX4RRUmC7UUUTI0kzfDDiDRNSVJxDdhuNL0e4yRlt2Oz23U4tVhhvlFkOPEZ2yF+mJDm91tn4ObPLd6HIIxZbJVYmS1zfWNAkqYoskyWkUcKC/deVZbZ7ggl/2KzSNFS2d1yUBSZoilcf2slA0URcYeGoeSqd5s4zbi7MxSE1Exi4gYszRSZrVt0Ri57HYeFVpGxG5Kmae7qIYgLJVOjWTGplo3p7+qHMbYXYugyaSqaOYoiT1Xlez2Hm1sDxnZIrWyg68r73rdb7ck0zebMcvUjKWp6I38aAesFMTsHNqc/w05hn31kSFJGmmQoSsZ+1+aPvneHldkyQZxQKxmsL1QYTkQRl6Ypsiwzyl3eR7ZHfxzSKJsMHSFEnGsUGNrBlHgUx8KtM01TQCaM00eKOIaTgHt7ovBYm69Qr5hcXG+w33OIkpRa2SCOUyolQSIpWtpUEHJ5vUFn4KFpMvONIoOJP/35KRnNmoksS9huSJKmNKomZVNj4gmBoyRJpGnKzY0+S60ip5eq0yQdgCBMp9d5lom455m69dA9tb5YZWN/TGcgHPF1TcELYyEyyTJIwPXDqWPPyA6mz9kb+cKBqmBguxErc6UpyQNEEwTEAGm367B7YHNlvUmUZOx2bNHM1mRmagVKlorjR9zaGuL6MVGSIiGhayqDcUCzKponh3tFmmZCVJrvzSIxKOXm1nD6t16aLT3y0O4FMUfZuN5T7D+H56dD+OGzp7L/eUZv5HFnZ0QGZEcIU0d4h+IfkrjGvECsA1GckWaCxO1lMXs9F0mWCMMYP0xw/Zhy0RD7eQZjJ6JVE2uJe+SeCMOEME4x9fv36oPXnx8m+UDm03XGfPjaf/xe/kE4HFKCeJ+jOBXOXoZKFKfM1K2P1OH6BCd4PxymYRUsDcuP8cMYWZKRSCgXdWw3fKyAIwOSDLwgQkGc6XVNoVoy0HWZSklnZfbxLm9+EJNmGQVTY7/nTIeZ5YLOhbX6sXUgCJNpbXv4MYh76M7OiJETUC7onFmqPlW61AlO8FlGkmbc3h4ycgKqRSNPmxVf88MERZbEWVLKkCUZWQYJiTS7fw8pisyZ5QpkEgVLY3N/Mj0Pj50QWQJNuy9YOBi40z5Hs2rgBimGJrO+WOH16yLBazD2p32GDEHgGIw94iRlaAdT44VAFiLPIB/2pimosixSAjSVcuH+kGrsCJJGkqSAEEq3atn0dR2KOKI4IYrTaU3Q7jt0h+JnV0sGz51uPvUaUi7onF+pM7QDCqbKvb3x/boq7/vo8vsL4qM4OdZHdLyIa/f6OH5Eo2JyaqHyRI6ZfhBza3tIGKXMNQvHaoE7u6NpX2AwCXjxXOtYssDjcG61xlZ7QgYsz5Y/dWe0EzyM+WYRWZLojjwqBY2ypTO0QzpDl/lmgZl6gThO6Y89HD9GFqbNDMcemgIlUwg6FVnCMtRczC16gsNJQLNqMcyNXRw/4tR8mZ2Oza3tAUNbpHG7fkSSiNTINBX99xubA4Z2gKbKjOyAL12ZY23+fm8qSVJu74wYTHwKhsaZxSr7AzdPydamIg3Iz9NlUZ8PbR9ZkqiWDJEspAn36SCIuLHVF4nAZQNVvk+8epJ642idkiTizH64PhytBRw/RteUaY/8cf3dxz3fYVr3IeI4JUlT5AfWje2DCQd9D12TObtce6okzhOc4AQfHQ4N6RRZYnX+05PC9HHgbG76dnt79P4PPMEJPgJMvPsJtWEshKQl9fFu9Bv7Y25tDulPfBZbJTRVnvYJHoUoTgiiVKQMHtmT9zo2ThCzOltmtl6gWtS5uFYnTlKSJCMFaiWdIBLJXHNN0aM/fI4gTFmeLdEZyDh+TIo4D2x3JuLMlRs5+WFEEqcEiTCIVDQZQ1XoDVOyTKwtRUOlUtD44uV5Pn9pjh+/1ybLIMkyoiTD9mM29sY0KiatmoXtCVOqw6Q8SZKolQwMXSEIRd2z33Pwg5h3bndRZVHz6arKytzxmUEcp4xsn+sbQ1RF4oWzLS6datDuu/hRTH/soamQJFL+3iRcu9fnzHINSRJnI0tXSLOMW1sjbmyJVMS5eoHOwKNeNqcz0yc9+zwKYSwMhsoFfTqvORKlumEAAQAASURBVMFHj8mRfr4XJKiKuD/FPCrFDWJW5ytc3+iJJG9ZYuSEyFKGIkGQJESJTLWgMHYCarKBoSkMbZ+tA5vdjk136BLGKRkZkiTc/VVVplWz2NgfI0li/hblvJ923+Hscg3LVKkUDZZmiux1Xe7uDrm3MxIpPfNlLF3h+RcXaVYtXD/i7VtdojilP/Gp5ERxP0xIkhRFlgjChCTNhDlFnKAq4j4Jo5Q4To+JyY4iSTPeu9ubCqNOLVYeSYA+rDsOr3nHj7i7OyQM05xbIOoIVZFZX6ocE4Kf4ATPClw/ZGvfoWipGLrCQkuk41iGSKSYeFG+1qskSUKaib1SQvABoyhBUiRkWRgTJ0mGJEsEUSL4RU5IvWwiSRl7PRfXj1jKZw5+KObdJVPl3t4Ex4uQZIksOz7RyNIMy1CnfY6j3MMgjLFMjSRNkSSRSm5qCuWCiqWr9EZi7nCIsR0ee+7eyGcw8kiBoqmxECbH9qgLq3UGE2G0+riEXhDryqGAA8Q69PzZGa6cbj72ez4sDvsWh8kkHyVP7ShvIMvE72E+fcDQCR6BY/P0nD/3WRdxTNyILLt/rY7d8IO/6VOG69vOQ5+7td/nwtLP1uD7p4WmwBHK8LE+7bMC243FHpGfz7pj/5N+SU+NB2vep+F5HcUTV1K//uu/zq//+q8D8Nu//dv8q3/1rzhz5syH+qEn+NkhilOyLEPXFHojj++9sUcYJ9zbHfHLX1oTJHFfkL4aFZMwSrm+2SdJU/76J9uMJi5jL80LFYnf/JVzXN8ck2XC+fad2x2+eGlO/KwoYeJGtPs27Z5Nq1pAlcFQJVpVi+7IE4Ve1cqFIWLxCPyILC3hByFBoNEeuHz+0ixjO+TW9hAJCdsJQQJFlqgUhTNFmmZkSMzULCRJYqZmMt8QKSAgRCtLMxUcf4ClyMiyRP19YsEO+i5RJEhsSZJyMHCZqxcoFcT3OH5MFCeULItKycDQVSSpyJ0dEamapsJBXJJ4yHnkKExdeeDjD9/QOHQZ6eeLWK1sTFXSJ/hw0FWZSlGfEqeexDnxo8b6YpW7O0Px9y2brC9VGI4D4ixldb5MGMV5w0LC0FVW53SSNKNgqjSqFkki1OZIokFRKeqoqsx+3xGJG2WD0SSgaGpM3Ig4yVAVGceL2DqwefniLNc2BqSJuB90XaXdd5Ek6I09hpOAldkylZJOMY8bHIx9Ti1WaNVN4Z7vx/TGATN1Cz9I0BSZ1YXylDShqTJfujTPXtfmlav7bO5PcL0QP8rIyMhSqJZ0/vC7d4X7oK4wWy+wulChM3BzAryEpiskaUpv5HNra0i9pNMbeji5sGVlrkzR1CjkaSHzzSJxknLQdykYGsNJSH8SsDxbngrAHsTYue8sGHvCkfyjcBhOHyhUH/z4BM8WlmbLlCyDKBZpF7tdh//27VvEccryXJkoTtBURRAnvAhdFwSnb31pmat3e/zx9+8SRSlRkvLNl5cwdI2JE1CrmNMGf5pl7PUcJq+HrC9W+Xy+/x7FYcLLYZrG7Z0RL5dEM3ZtvkKloHNze0iSZlRKBkutEqoqU8obHQVTY23hfmEp1g8J148pFTRMTcUyVMbNAE1TKBcNPne+xcQJ+cPv3SVJMjpDD8vU+eE7+9zbm0xdNcIoYWWuzG7XIUszxm7I2A1561aX1dmS+F1zlx5NlVmeLVEvG9zbG+MHMSVL42DgEkQJCw0LGUmsUapI77m1PSSKMpI0ZTZ36vUC0ZAqWhrdgYssS6wtVPGCeEpK1XWF/b7L8mwJy1BRFZmSqaGqImEkSTLkPJo99jMURcLQFGaPuGg1qhbtvouqyBQtbfp+NiomQZROBRwA7Z57jLjl+hHXN4TrycgJaFbEa3+a/adZMTnou2RZLgR8wqjOIBJEwZOzw88WYSzOwUVT4Ttv7vL6jQ5kGc2KSRDFOB6k2TFND6oiPpfkNWAYpRzVJicp7HcdTFMlTVIMVaZgqmRkWKZo0h6mgKiqzNJMiZ2OcHSZbTwspGpWLbpDjywT503Hi/jxtTaKLHFupT6NDw+jBPkJr6E0TZm4EZapoT9m0HK0dnkS1Msmux1HrHkfcAb/IDRrJu2eEHkVLQ1DE0leH2Vk8QlO8KRYaBa4uTmgaKr4RY2CqbDbickyMFSF2mxJxJS/Tx8oiMQiYUkJ/bFIvLyy3pzuUcCUuHB4z+127Knb00zdmpLCQZg2uPl+fIiSpWEaylQE1cxdqw4G7rRGHU4C9noiNeAEny2EUTI9t53gybF7MOGtm138MMbUVVw/JIrFwKNWNnD8kDQVZzpNlYjz/b5UUKYKT1WW6I58NnZG6JrK2mJ5KkxYnS0xGPt4QYIkwWzdZLdrkyRQK+s8d7pFmpEPQFPevSNc61z/SINfAjcI+Y//7W1SoFEyGNshjh9R0BWiNGW3Kx7frIj+WBikmHrGuSOueXONIq9cbZOmIrFwpm7x9q0uqiZxfqUh3PSSlFJBQ5KkqWCiO/R4+1aPKE6YaxRYninRrN0/G8eJMDD5oCTLaknHNESSnu1GU1e0SlF/orOGoSmUC/rUhTNOsmmvqDPwqBT1Jzqz39sfT0kkOwc21ZIxXUtd7/5CnqYZQZg8kYijYGpcWDtx7nzWULQ0rm8OsL2YzsBDkSXqFWFIoqkZuqpwbqXG3d0xtucTBhmxKtMdhzQqOi+dnaFaNvnhO3v4YYyuydRKOkmSEsdJnowTM7QD2gMV10+wDAUvUBg6AY2qwdAOSFNByirmoqsgF4Df2RkRRgmz3yyiyMLJd7frsNux2ek4ZFlGZ+jy+QuzFCwdx4u4sTUQibx5331kB/zJD+4Rxym2G7E4U6RgamiqzHv3evz+39xhp2sTRgm6prA0U+JrLyxy6VSDg77Lre0hpqFxar7Ml59beOg9bNUsDvrizF4qaBhH+uzNiklvJM4fSzNF4iSb/q6N/IzyYP3SrJrTxOGjzydJ0rHnq5T0h+7NiRuy28n7hUnKxv745L48wQk+IdzZEYKGlbnyE/cTnlUcpqDe3R0JsutJT+8EHyNW58rTHnqrZh3rJzyI4SRgv+ugKOJs0Rm6LM6Upn2CowjjlHbPYa9rAxIFU6VeNtjvuVzb6NPuucgy9IYen784y0y9QK1sEsfCoCpJU4qWxmxDY6FV5PRSDRAz8q32ODd1TKlXTRxvTMFUkSU4f6pBb+ihqQqOK5LJ3SCiqGtT8enYDnPyuCA87vccHD/iqy8s8KUr8zx3psVMXZxHZJkp8dPUFRRFIghjsiyjXhEGU0Eo6rIzyzWiOOG9u31hXjf0RNJ4QWNBLrEyX6ZRMTF1lUHeTykUVH7/O3fZ7ztISNzZHfGFS/Nst0f84XfvEWcZUZRwaqHMbtvm9s6QV99r83/+1lnubk/ojQOaVYMvXJxl6EQEYSyIhYZKuaAfI9M+ydnnUXD9mD/94T1cL0JVZb75+ZX3JcOe4MNjda483e+WWkV0TcbxJliGSrVkTN/3tYUK1zdE4rShSwzHPl6YQQoeMXd2bTJk0jRj5IhEeEtXGEx83CAhTYQBq+3GlAsJ5xYq3Noe0Bv6yLJMu+/x3JkWsixNZwen5itkQMlUiOKEva5KqWQw8UJu74yIkoznzjQJooS7u2ORAJBl2E5InKQoksxs3ULL54NzjQKaIpNmWb6GCHJ5vWq+r+j7MNnG9WN0Vabdc6kUdTRFRlGEaP1WPh9dmhHzx72uw17XQVNVNCUTxnoIs831xRoztU/uen6a2csnhaed55zg48VhrzaKU/7k+/cY2gGKLHPldJNKUcfUFTRVxjQUwkjMGrwpdygky/K6WFOYeDFpIPaziRsiKxKaIrM4W+R//fPr+GFCuaBxYbXO23d6pElGrWJwbqV2f94o52aHuetUcEQMASDJEq26RZKk4p5P7/f8TENFkcEJYiQER/Dm1ggvEIaPF0wNSWI6F19bOG5ArikScc6VkMioljQmToSswHxTiLOeRKClyKJfe5hicZgq8nGgUtR59Wp7ym04v1ojSQR35JA/8WHRqlrTuY9pKBRPRJcfGVo1a2omqmsy5eJnXx0zV7fwo4SDvouqSPzCyvIn/ZKeGi9fWALePva5s/PPfk9vdabywQ/6lOHFCy32vi/WJ0mS+IXPLX3Cr+jpUSsZ7Ci2mG9JPLIGfhJ8qJX5v/7X//qhftgJfrY4GLhTp7m5ZoGdA5swFuQKL0i4szPi+bMtekMPz48pWhpjJ6Ddd3njxoFw8A3yBI0sI03h2z/Zo1U32es4SJJEtXj/YBMnWe5qbbPddtjct1FVmS9cmucbLy2w13Oolg1evjDH//v/eBvT0AjCiDiWuLk9wNRUziyqNGsWW/sT3CCmXNCYbYhCNM3IIxwTkBJubA5RFIlGpcDybJmCpXJuucbICXG8kHbP5ftv77IyW2a+WaRc1N5XMDGyA37wzl4eJ5fy1SsLvBa2KZgazapJuahjGSqnl6p8+co8iiwUv1+8PI/tRNRrBlImUbTUh5SVcZySIgQCC60iEyekN/ZZnClNyWZJIkjpDx6+xm6I44Y0a4VHEt7OLFdpTEzRFCp/eOLaCQQkSeL8ap3BRDjG1d5H+PNxoWRpZBnYniBJ/Y/Xttnat5Fl+JWvrNKoWDQqJrWyzrnVOvWyydgJObVQEc41SYLniQGsF4jh7XOnm3h+xCBvwGV5fFO9YnD1Th8QbtauH9KqF1lqFYmihLqusNAoEMbJNArY1EWD7/xqnfc2Bnh+zMpcGVURLt+7PYfxJMAyNebqFl4Yk2QZS80iEy+kVjS4fKbFYBzwB9+9zfWNAY4fk8QZyIjhrySavlkmmqWmqZJlGf2xT5YCCOFJ2dKYaxTY2B9jexGr8xV+4eUlbm6OCMKIoqXRGXqUQo17e2PKRZ2ZWoE0yzi9XKVRNUnSjK+/tETxMXGoSZI+8PFHI7ZoVi16Q+ESpuWE2hM8u1hfqLK+WGG/N2HkBBi6ghvEBEHCaOJwMBBJFYcpVy8s1YjjmD/7/j12DmzSTMoboxEb+zaNisn339qlVbOolTTOLIn7W5EkoiRl4gUMJ/5DpKEsOy4IEoLH+6hXTNbmyux2bZplg72ei67KzNQM2n3R0IwT4RJl6iqKLKOrCv3Ap1YyOb1YRZYyDgYu3aFHuycIHYXckcoNEsoFnUZFrJ37PQcviOkMXPZ7Lkjw8oUZwjBj6AgnT9eP+M6bu0JkUhKOuVvtCd9/e5coTkmzjIVGgaKpcelUkyzN2Ok6/P537lAsaPzyF1eZqRf4e185xUHfY7c3YTAOcP0Jp5eqglQWx9zcHqHIcGG1cczNo5Y7g55drlE0hVCkXDRoVg0mbsRL51rTJvNW28Y0VC6fbiAfSb0qWRrPnWnRH3tcOd3ED2MkScLQJLpDlyhJ0JQ80eyBKMbN/QlRnKIqMtWiwUzdolWzjjmIfBBKBZ0rp5s4nhDbWB/g/pllGbe3R/THIrXk7HLtE9nvfh7R7rv8j9e2BKnJC+mPPOFmHSY0KgZ+YDAaBxwV7MuyGAQGcTbdkx61FSnqffKfLEmUiypLzRIvnG9xbqU2dZkJo4SXL86IuHEp49QRp91DVIr3rylFhlu5w2OSZGzsjXn+bIt7e2MOcpHn+mKVVs1i4obsHNhIEqzOV6bXYhyn/Pkrm/RyUffhQC+MEoaTAF1TiOKUu3ujae2yNv/BjQbLUHnuTJOJEz3yDP40WJsXwtc0zaiV338gdIITfJy4szOiO/SoV0zCMKFeNnjt2gFxKtyumlWT5bkym/tjeEwex9EknzhJkEg5tVg5dl1PU4AymG0UOLVQmYq7QBCUj+51glB+fA9TFJnL602GkyBP7BR7ydAWTuBFS5A2P6rz8wk+PdjYG9Pui7Pd6XwPOMGTYb/v0h64hGGCpskEUcy5lTpZljGaBLloIKZaVInjlIEdIksS55bq/J0vrTEcB6iaxP/rv77G0PaRkDjbqTJbL2J7IedXavzDb57hlXcOqJUNvCDm9ZsdkjhFkeH0UpX+OGCmbnB3Z8LhalEwNT53cZbBSKTd/rdv36Iz9CHL2GKEqiqkSUaUpLh+RMGQIQPXTzi9VCOMM4qmykHfZykfFuiawkvnZhjZIZWizmvX9ukMfGQZVFm4APZHHqeXajx3RgjDNVXmB+/sYufDr822zXbHnoo4BhOf29sj0jSjUTWnbtQPIk5Srt3r4/oxmipzYa1OvWyQPkXvTJIkLqzd7w/1xj790X0nqPgJ17YH18CjPYZaxZiKSA1N+cBz/M8SIzvADxNqZeMDBTMneH9kWcb2gc3bt7psHUxYnCkyskMkCc4uV9FUFSnL0HSFclFHluHWtkSSBKiqhJRl7B44dAc+rarF6lyR9sBn5Abc2RnRH/mcXakRxRmmoVCxdPZ7DgVTRVVlZuoGlq6wMCv6fbd3JlQKKnOtEhLQnwSoeY3s+BHf/sk2zYo5JYINxsE0Lfu19w64tTVkea7M587PcPlUAy9IUBS4vTvinVtdeiOfSkGjVNCQZYnTS1WSNOMPvnOb3tgnClOCOCGOM4aTgFev7qNIEgM7YL/nYhkqUSSuvXrFRMlNjCRJ4tRChWrp/pn9aB/99FKVRsWc3udhbjh1WCc8qn5ZXxSJ5Iff837P9yAevLefdE04wQlO8NHjzq7oWawvPnuEhafFQrOIlacWbLYnrC+eJHuf4OPD119cZGNuQpKknFp4+FpL05SDgYepK0RJyvaBnZOzRc/98nrzmBEEQHfo8levbbPbsdEUmZcuzOL6MQutIhfW6nznjR06Q3fqlH9hrc6FtQZpmqGqMr/ylVNs7o346nPzIMlYhsrKXJkbWwNubfZ59WqbKMkYjn0WZkpcWm+xMldGkSH0I65viGS94Vj0MdIsY3XOolYS56XZlSqaIhHFCdc2hxiqQhilvH2rz//0jYSiqfIPfuE033t7D9uNuHiqkc8STE4viXPFxt6Y7tBHUyU+d2GG00u1/Jyv0aiajPOUNBDvU6NssjJbZm1eJOwNJ+L8kSZivgIw8QJ+fFWkJIztgIkXochCAHNra4AXpoDEYBzyv/35TZZmhJHGbifmlbSNrip4QcxezyZOUl66MPvQPOCDzj6Pwu2d4TTxOY5Trt7tnYg4PkKM3ZBX3tknjBOurDdpVA2iMOXcWp2dA5t37/aIopTluRKXTzW4tT2iZOmcWaowckIGEx1SiMc+aZKRSUJ4897dPkE+b0wRiZ0SQiyQyglkEromY+oKYRzRG/kosoyqytheRMFQWZ4rUS9ZjNyA/89/v0YUC7f8lbkS3ZFPkmRkaZan9Gp8+7UdyDJ6Y4+FVoGxI0Tke12bUkHn+bNNvnBpjjTLqJWMqcCkaGjc2RuJvshK7X179ooMb97s0B/7Yj4xV8ELYhRFcD/u7Y6nZ/idA5tmxeTKeoPBxMfMCdJLM0UWZkqULJ1TC5+cIc3d3RGdgYckiXvzkzAd/SB0h544g2VC0PYgif4EP1tstSfClFQCsox37/SwvRhZFmKr04sV2n2XVt1icaY0TYWarRcY2j79oRApGJoEsoyqyYRZgh/EFHMTh1JJ5/bWCNuNSMkYTFJeeW8fCYkMYQJd0BUaZZMMaNUMtg9sDgY+hqqwOnf8GmmUDV6/doAXxLRqFqcWUl6/fiDOEWWD1XmR7CHLEnEcE+eJuVmaEScZv/a1dQ76HrMN6yFzwwtrdaIoIUpSrqw3GUwCbm0NURWZ+Ubxqd7bcys1Bjlv6XFGcmEYo+siTWQzN3NpVs2pud6TwPYiZhsF/CDGNFQOBh5v3uwShAkLM0WurDc/9NxycaZE0dKIckHsiRD8o8Nco4BlqIRRQrX082G67UcJJVOhK4GuKh+bsOnjxI27ew99butgyKmFZ0vIET0QerjRmfDVT+alfGj8wkvL3N4csNtxuHKmydoj6s5PO0xD5cppwVcpmOpjuacfhCeeDO3u7jIzM4Omaezu7n7g4xcXFz/UCzrBR4et9gQyUTT/9U+2cf2IOEmplUzCKKYzdBnZAXPNImGcstd16A19GhUrj9DKVbEAQqAPWcLugTuNftnujKc/rzv0kGUJzxdxoEiCMHJra8BsvUAG1CsWri+KJUWS8EIRSarKMk4Q8eadHpXChPlGgSgRyQITN8iHwQqOnxBEGV7oszJXIrJFnGKjKAjllaJOo2rxF69sCrIoQszyjZcWqZYeT4aM4oT9viOaGH5Mmma0hy5pKshws40CkiSx2Cox27COFUrdoYuniji4wiMyx25tDfjRu/tkwPNnWqzOl+mMPPwgZq9rM1sX7t2dgTctIg+Jmxt7Y7775g5ZBuWizq9+ZQ39ASGKJEk/levwCR6GLEsfWzHs+hFeEAvnh8e4mFy900OWZVpVk632hDs7o6kA6c9/tMX/49evkAfEoOWHwEpR5717PX707j4ycPFUg0rRYOKE7PccLqw2MFSF7sgnCBOqJZ1ySWN1vsxgHHD1bp92z2a7PckFSkLlrmsKKYKgvNEe47gRlaLOhdX6NHEDhKr4oO/ihjETWxQxh5yvoqmx13PYTmwURWZppoyuinSg/iTEjxLSVEQgS6losmSIYejhEuQFMfs9j4KhIskZQSgU514Q0x16lIsGWZbRHbrMNyyKlsrIDhi1J1i6ShQL92/hHqwjS0Iw1axarM6X33cTrZaMqfumcOR+usLucVBkiUvrDUHMl+UTsugzDkWRWZ0vM9cs0B1tIkkSChKSDMgyGYL8SO6uXymovHNnxGAcCPKGAotNIeRx/JC9noNlqKRZxo2tEZKscHtnhBvEYs/0omPxnSAaugd9Bwl461YXgC8/N3+scOqPfTb2J3hBxLXNAaam4HgZb93uUy1b3NgcoMoyhqHw1ecXcnfgmEou2mz3XcI4EY1aU+PO7piSJUSXOx2Hi2s1On2XzsClVbMYTgL+5vVtBmNBNlEUGUWWuHK6KV5jBv2Rz+ErHNshQzvgrVsdkiTDD2IGk4D5RnGaQBRnKX4YUy3qBGHC27e7/MLnlvOULIWRHRBZQuWcpBndkcftrTFplkIm8+P32nz9c0vomsy93TGqKvPFy3PomoLjR0iSRG/kcTBwWJot0xn5qIpMkmacXa6hqjKDUcAbNzqUizoXTzXIsoy/eGWDkR1SLur8nS+t4Xghf/AjQdaHjItrDUoF/X0bmaoi06iY0zUnilOqpfd39djYG5ORsTpXfiyBPU0zRnaALAtHMduLpg7paZqxdTA5EXH8jPD2rQ5jO2CzPeFg4BJGKa2aiaGp3N0diT3xAe5Pmoo4ccvUiB9I4DiKKMqIpYQsyzAMFUmSkGSRpFMwdaI4Yadjs3Ngo6kKpqFweb2JqsjT80m5cN+ZumBqFEztuDM3kCHuzUMH3CyDzfYEXZX5yY0DDE1BkWVubA548dwMAPf2RvRGwuE2jlPevtWh8fIK797pEcUp+32bzb0J51Zr1MsW7Z7LXKPwRIl1pq7+VMl2R3EiiD7BJw3XF07xSZqKCHAJRpMAL0woWRpBmODHCbsHY+Gi9xgc/UqUQH8ccHN7yG7XmRIrNw/G3NkaocgyawsV5hsFVEUmilPCOOatm10sQyFOMj53YZbTS7VHknglRP10eJY96Lv0hj6DsU9v5HFmuXYywP+MwQ9jIeAAXC/i3bs9vvHi0kk98wCCKMF2QwrmwwJbz49I0ow4SWgcOYMdDFxBhpaEqUMQCGEmSHSGHuWChqpIvHXzgN7ImxJ/3rvXxw8FIXrshCzPlKiUDCRJ4uq9vhAwSyKK+ntv7lIu6iJFThZnBQBDV7i0WieIUyxD1NNBEJOSEUUxlqGhKLJYh6IUxxcTgoKpYGgyqvKw0CtJU/pjnyhOGdo+7b6LnNdGP3pnl9X56jRtUFMkMiTUXEyua8IZ1NAV1COCsu22Pf29+yMfuxEecwS+uzMiiBPKlk5v5DGYBFQK4vf9MCTHo/0hXVMY28Ip1DLVJ3ZUWpopcXNrQJYJR9vKEUe2tfkKpXyI2qyan5oh6n7Pmbou73RknjvdPHHW/CnQGXjsdYXBwdgOcYOI2bqFF8Rs7NuUTI0kSzE0Fa3nstf3sAyFKFIJwoRJGKGqEkmaMbADGhWDTp5SKcxbQkZ2gO1HtGoFZBkUSbj/XdvoQyZcK70wxvYiqkWDetWkYKi06hZ+GGO7EQVLQ5GlqStzu+9yfq2GoYtaeWQHhEmCJOnc2Biw3Z7wwrkWL5yd4b17fe7sjOiNfLb2xyzNlqiXTeabBTRVxrWFcPtoCO2ha2YUpbhBTHgkYizLMq5v9JnP+yTjeji9hx93Zj8UYGzuT7i+MeD0UnVKmHiwftlqT6YCxGpJ587OiGsbfU4tVKcmK5IkvW/KZaWoT9Oc5dws5wQnOMEng0Nn8kM3/s8yZFnizHKVd273uL09PBFxnOBjhSzLj73G0jTlv/9oU6TdSXBmqTo1lzrsQT8o4PCCmB+8s09v5GG7EbKUsd+zWZmtCIOjknD7PjSo01SZ/kSkfJ1eqrI0W2KuXuDsSn36nHGScmOzz3ff3GVzf8J+10VRhAljOxdA3NgaCMHo2GcwCZjYAUGSoiYyiiTRGwUc9D1giGVqrM6VCcKEME+xDqKE/Z7DO3d6gMRG2+HsSh0vEGerLBMGPNfu9UmzDD1P9tJyzsHRenCxVeK9uxvs91zKZYOipVErG6wvVqZnmcPzh+dHWIaC7cYEoahByA7NOg57PxKGoeFHEVmW5eerB0XkGZkqRNp2Pie9uTXk3HJtWktttydEScrKbBn1MWmb2+0J1zYGmIbCFy7NYeoqln68Rvg0idI/C/jeG7vTnvqf/OAul041sAyN7bZN0dKYbxRx/IiNvQmjSUAnT9YGCUNXgRBVVdAUhSCJc75PRhAkZBJkkkSWpTie6FEokgSZlH8+ozP0ORh4OH5ElmYoeRJ9paSzvljl7ds93rjeoTvyiOOEcslg4gS0By5FXUWWxcD/9s6Q/a7DXs8lCEVa4EytSG/kYhpihv/mzS6XTjV47oyYJxxyX6olA9NUkSUhDn8Uknz+1Rm4pFmGpsrESUpn4ApBeZKxc2Bz3PJOwDI1rqw3pw71awtC+PVJQhjjib/7Ye3SrFrYnkjU+bSQhDdzLhqI2nGu+WTznBN89Ihyrh8AGdzbG+PkHJ40FfO5wdjH9iKKbZtqSctTVCSCOOX2znjaHzzoh1RK4nkkBFk7zhMuozibzpZlpCkXMUvFpZCmKWMnojMSgpCipRFGGRMnxJUl6hU9N1sQ/dK9nkuSpmSIfvN7d/sU8rOD4B7KnF8Ve/5We0QG+flAomiq1CvmY2v2vZ5DJzdiuXqvj2ncN4F782aHep4+ZRkqSzOl9+1rvx8fLwxj/uLHW/RHPqWCxoW1OhNHzFQdL5qmJR0ijlO2DiaoivzQWpNlwuDlcAZz/V6fUZ4I3Bt7zNULGLpCmmZUS8ZT9+LfL3kkSVJGToiuyu+bvHaCR6Pyc5C+cRSjScD2gTB+D6KEG5sDvnh5/pN+WU+FTH54v6qYn/ze+tPi3bu9T/olPDX+/If3uLE5Is0yfnz1gJcvzjL7+bVP+mU9NWRJmDb/FKFJTy7i+KVf+iV+7/d+jxdeeIFvfetbHxjV9N577334V3WCjwSyJOGGEVfv9hjYAXP1Ap2Bh6EpDCYBqiLzJz+4x9dfXGRlrgJkTNyQkqVRLxvc2R0dJ5FlUCoa7HVdDF1GV1Qk6f4iVrQ05uoF7uwMxYWJOBT2Rj7feXOH+UZRvCY/Zm2uwl7HYeyGZGlGSkqSZESROBwUTQ1dVxjZIUVLI05EYbg4Y7I4U8QPBcFtZbZMvWJweql2rFhxcrKZH8b0xj7X7g4YTSIurzcwH2gg7HZtXr9+wM3NIYoi06wKF2FVUQjTBENXUZWIwdjH1FUurwvlXW/kcWt7yPWNPrIko+sKv/bVUw8dan587WA6oHr7VpcgjKcJKbIsUS7ouPkhOkkyNvcnXDndBODaRn/6vRMnZLM9OdacOsGzhf7Y59b2EDJBbrjymCG4cqRBJpplGVGcIks89PjDw7ntRnzn9Z2pu/z33tzlV7+2zl7PEWr4VAzh49zx0Q9jJk5IQddwvIh373ax3QhFgijJSJIYWRGij0bZQFMlNvcnqHkazk+utdnruUzckItrDRoVk1vbIzw/YmN/gqpKnF6qoaky7YHHfs+hUTFZX6xOleqb7QmyBDIyuiojyWCokhCAxRlhGBMDUt5wkuUMWcrww2SaNlC0VNJMHIwdXzRL37rdm6beCLJIML2P5HzvmmsWmW8UkGTpAx0lZVni4ql6XhSKGOaxI9bKj4Ko9CSRxCf49EPXFNYXq4RxiqkpvH7zAFkSooOCoRLHEpauIsswY1gEUUqSQqmoY5oq7b6LZWqkWUaSCLcKuWIQaAphlBBGYmgROymqLhqlR49ig7HPn/1ogzhOuX6vT6NqUrQ0rm/0ee5Ma/q4Q+fYKE4pmhpFUyOIEmRZuGbvdZ3coVbjjesdvvbCfVFud+QRRkkumPJo1SwkSdwjQSTEm5Ikc2qhSsb9hu5e1+H29pDZeoFq2SDcSXHciGJBQ5XFerfZnnB3d8RsXThuHZKXDs+biiwx0xBNyiwVDQRVFcKK/sTn5taA4TggTlM29iaszJWnzt9ZmnBre5CvHRmDkccP3tqlM/KmRKmRHaLXlWkqRrvvMlO3CMOYe7tDJEkijFMWWyV0VWFoB6IwDRN2Oza9kcfIFo2UiRNy9W4XP0hyAQeAhKYpXDz1sHp/ea7MjY0BcZLSqJpUinqeaiaaxgVT5fJj3DX+5vXtKblqcabIt76w+tBjsizj2kYf2xVno4VW8aFm07PokPCsopufH/c6DnGaomsKvZHPXL2A7UfE8aNGCRAngnh0zF7/CAq6jKopZEhoikS1oIvBHsIRNowS3r3TY2NvjO1HLDSLgM5gHKBrQnCRZUJIdPl041izvWCK1CtBvJRYm688dD2O7YB3bvfYbttomszqXJnwiPbjQUKiIsvYuVDp1taA7721ix8mXN8c8He/ssZso3hyXZ7g5xKHZ9UkyYgSsW9lZHheRJxkTNwApAzfTx77HKoi6vCjtbyiyGzujfnzH24wckRKxn7foWjqlAoqIyfkKy8scHalxr3dMZvtMZqqoKkqmiqe61GDiiTN+ME7e+x3HVRF5vOXZnE8cWZZXawQRwmnFsoP1eAneLYhS6Jm6ww8BmMfTZG5vjHg4qn6TxXr/lmCF8RcvdsjScSQc2VOmCdkCJf85fkynhdhWRqnFyriHA1U81S8OBG1b5jEKIqMDEy8SJCGMjGIRJLIEM+fpkzr3pGTkiQJjaoQT0VxTvDJMiRJoj/xiVMxiT2zWOHUQhXHj7h8usmNrZHoGeR/RtsXRCBdUyhauhCmIwwfYkUsMpWCge2G+FFGydJYO+JUKUlSTtrOKFoaSZoRRDESYv04JHnZbsxbt3ucX60TRAlr88ItM45T5psFzq3eP0M/eAY5+vFfvLLBT64dkCFIVFEsXqskiZ7lIQEtjFO+/domnYFHs2rxtz+//FiigR/E3NoeoqoyZ5ZqvHCuRRglmLr6xP2AWtngpfOzRHGClQttj+LT6Kg5GAfTf8dxysQNP5Wv81lBkNuiFS0VTZWI3ZR6xcDtxjiO6DlbhoofukRJSpwnNZYLGrIiIwURJVMlyHt6cZoSpxkZQuQVxwntgYcEtBMHy1RZbJVzA4gYVZboxyntvsfSbIkoSbHdiPlGkcunGthuxGvX2kRJykKzSO1wsC9BwdD41heW+f5be2zsjxjZIUGQEEQJrarFre0RsiwRhiJdsFLUWWgV0TWF82t16lWT6xsDAFbnSpxeqnBra4SRyoCU9+8KwkxC19DUkHJBR1OlYwSD/tif3sNJmtHLCaOtqjW9F+Mk5cbWkI39MWGYsLk/4W9/fpn5ZvH9145XN/num7v4gTC9+bWvrfO5C7Mf+Hc9dAc/7Bc+KGQ7wQlO8LPDfRHHz4cD9NnlGu/c7nFre8Qvf+mTfjUn+HlFuy+SugHIhGv86aUaUZSgqjKlwnEBx9gJub7R5/b2kJubAwxdJUlTLpwSxmmH+361LMzpoijF1GX6I484yRiMff76tW1W5sp84fIc51frxEnKu3d63NwacmNzQJgbX8hRhh+n+IFMnGa0qiZFS8cNYuJUpAtmRwQnnh9RLhpEuSh+t+Nge6JvGSQZmZRRMjX+5Pt3p6ZXlqmSphmmruZ1n0SrZtIfB+iqgp7P/aIjbjxBlPDXP9ni+2/tkmVQHOr8yhdWmG8VH1lLW6bGr33tNN97axdDl7lyukUUp2iajKaqdAYujarFtz6/zH/6w6tMnBBdU/iNXzzNzY0hjh9RsnQ+d3EWP4jpDT1qJQNNkQlDYW55tqDzo3f2uLk1BERt8ne/sirI90f/fm7IX7++PZ21hlHCt76wytmVOp2Bx27XployeOn8zE99bZ3gPlw/nP574ghjN8tgmjSRZRl7XYc0zbC9iN2uw3xupDJxIy6dqovkFjcgTSVkScbSFMEFiAVxOkvB0lXUgoztRpQtYcbWH/vIEozdCC9Ipv0ASYLvvrlDd+RhuzFhkuD6EUM7YDAJhJGrLJOm0KwYnFmu0hl6+GGam08Ik8Z23yHJMsJYGCUYusr339qjXDCOGaHd3R0xnARClD1ween87DRxPElS7u6Oee9eD01VBDcpyZitF/DDmOiIEZ4sS6wtVKbJngut4rRfuThTolmzyLLsIxUhZFlGb+STpBnNqvnEwosHlwNZlugMPO7myWOGrnDldPMTF3IoksRUhi/d72uf4GcPWbpvkgBQK5ssz5ZE31ZTUKSM3a5Dlon9eOIKAWESZ5i6Imbph98sgaUrjHORoqHKhEmKkpvB1SsGEyciStLcgT+lPxaPJctIJaaGTnsdh+FEmLtkqsyNjQGqKuN6MYYmZu1xkqHkZnSmHk9FHKois9Cy2NyfIMtCBHmYGBsmEmMneMQ7cR+HZ5QszQiCGEmWiOMURZbQVInb2+J+Gk7E83xY8db1zcGUe2G7Ee/e7rM6f/+5gvD4HOcvf7w5FWmdXqoe42HMN4sMbWGia5kqinr/nkqSjJvbw6nBb7Wkc2Hto0kMSNKMq3f7UyPv1fnyUyWInODnD4oqY+gKrh8jS9IzKeB7FEXPix8/d31W0Ko+e4Kin1xv4+VrZRClfP+NXb75jIk4/DDm6p0+cSLOyudX6+8rnHscnvhO+rf/9t+ysrIy/ffJYPaTQRSnbB9MCKOEuUbxfV2TLUPl2kaf3a6LLIMbJCy2isy1Chi6UKyTwd2dMZ4vFK9kGd97c5fNgwlFQyJUhauvqckUCjpSJhI04jijaMoYmsKP39tnda7CylyRzf0RtZJOf+QTJwlp7qLneTFb7XFOzk6olQxadYtiUePa3T5BkOaksCJDO0KSJTRVIYgCdGQurzdYninRHnrM1AvsHNi5A4XK2kL1oSLl7HKN168fiEaKrlIvm4ydgHfv9CiYKn6YoGsKZ5aqvHq1zcQJqZYNttsTTi1UmK1XWVuoYHsRqiIzcUNePDeDpin0xj5DO+An1w64syPUYKcXK4ztmFevtlmdL9Mb+xiaQqNiMs4PnxkizSAMkyn5Lk0zwjh++I+Xw3zAweJZ3PxOcB/doTf92x+KC2brBXojD8eLqJUFefeFsy36I+Fc+9yZFp2Bw93dCbIk8dL5JlGckKYgybDbdVidK5Nm6VTAAaDlrpXDiU8vH76PnTC/V1KxluxPeO9un4O+h+NGxHFCkIrmGxkYRoJlynhRgh+myJKErqmUChrv3OmxOFNirxvx569scHqxguNHTOxwmrRTNGSu3utjGRoTN2TiRMw1C8iSxO3tIX6Y0KgYuF6MpimULJXV+QpjJ8T2QpIkZXNvTJY7hsgSBGGMIkkkZMzULNbmK1w53UKW4NrGkGpJJ0lSttoTTF2hXNQpmCquH2HoCjN1C02VmW8UnohMFieCzJ1lGXONImMn4PaOiAYtWhoXTzVQZEmk9/Rd4iRlpm6d3Ks/h5ipWfzo7V3e2+izOlfhf/5/fh1Vkfn2jzd4506ff/CLp1EVBU2V+NLlOSZezP/+Fzc4GHjIksTLF2Z4/vQMb9/uomsKpxYqHAxc6rIgPjmeKIKWZorM1YsYhkKleH8QcndvTBynInHBFQk3rZrF2A25tT2gVS1QKxsUTJV37tiMnRDIGDo+aSJiRaVMFOpukIjI7IpBrWww2yjQHYoEqblGAUWW2O+KNK+V2RJplokoz9xh0zQUvvn5Fe7ujvnxe/tMnJAwTukMHHoTjzTJ8APh8vnNl5fRVUU0i5Hojly+++YOtbKBn8ccL84UqVdM0pzQFisx880CYZTgRwmNssnNrSFjO2R9sYJpKAwnPjP1Aq2ahesnqIpMlsakmWicitjxkIKhUtYUdjs2YZygqzJxklEwFTRFZr/ncGt7RJKI+HY/iFmZLTPTKEwJGg+eiaM45ebWAEmS8/h4QXwztUevCyVL43MXZkjSbHqeOWzggIi3dvxomtJ1iDhOpwIOgN2Ogx/GD60/XhDniS8iiUNWJFbmyjSqBjc3R5iGwpXTz1Y05LMMy1DFHk2GIsuULI04SVlfLLPfc/BiIbx8EGkmBI66JuOFxx9QKapISJiGSpaJhq0fxiyZRSxD5dKpOkM7EIJQWcLxIjb2x5xZqhInCTc2+7T7LoamULQ0hpOA+ebx62htocLybGkaXQyikbd9YKPI0tTBpmgJcagXxMccMNcXq+x0bLbaEwqmxucvz6EpMpIEt7aFcNzUVZIU7uyM+dLlhUeKHJM0IwhFg/fT4lR9go8H+z2HoR1QLugsPmaY/VmEaaiszJW5vT3EcWMMXWYwDgjihCBMcIL4kWvEUciHDtp5aSC2K7HHbHcmJGnGft/B9SKiKMUPheP9cOyztlDl+bMtQYQI7ju2PO7d7w5d7u0epnMmvH2rx5UzTcZOiCJJKIZK0fp0Ng2zTJzfozhlpmZ9KoQmnYGHF0Q0Kuan2vFK1xTW5ivc2R6hKBJzzQITNxSpUZ+C9/HTgMHYJ8nJOlkGr18/mBLgoyRhZaaE7Ynz3YW1BiM7QJIlFlpF0msHRJFwppRlCS9IkJEoFxKSnNw9WyvQLBscDEUtUavoQkCcCkG5ZeoiGVCGhVaJ/Y5DlCXUS8b95LYMHC/m9Zsd4ijNzUUyukOfclFHVUQ6aAroiiBhDcYBtZJKwRJfFxNaiS9dWSDJMnRVZWSH7HUdNEWeDngHk4CZmsWFtRrbbQdVlaiXTYIwJYwSLEuhaKp0hh6qIjHfLPLV5xdw/YiZWoEwTmj3HAxNYa5u8b3tIX4Qc/FUgzTN2NwfYxka79zuTbWuez2HatFAUUR/0fHuk1+u3unmTruiT/PO7S5fuPSwW1iaZvzlq5sM8oFuu+fw3JkWjhdRz9PznhSaKj9TBG/LVEWfGMQA/+TeBgRZcTDxKZraBzo1HoWuyVy71+fq3R6qIjPXsECWSROxPztehOsLYoOmy9SKxjQlb23BwNIUbm4PUZOMRtlkZb5Cmvf0ISPXiEyFnEmcoioSY8cnilI0QyWIEtI0pWxpeEGMHyZcOiWz2Z7w1q0unh8zdkLKBZFwmWWCxKBrCsOJMElSFYUoSugOXHRN5cxSFTKRqLm2UGGzPSFNM9YWKpxfrXN5vcmP32tP3wdZlvm/fuscYZSSZhmWqbHfcaZu1WmW8hvfWGfsRlRLOtc3BtO1tGDc739cP2JSMJwEnF+tczBwmTgBg4kveu+I2qEz8PLeq4+myvhRgqUrUxdf14+5szvC9WKiOKU79Li52WdptoQfxJi6IsxqFJkrZ1roD9zHkiQ9NhHzcRhOAtp9B11TWJkrf+LkqxOc4FmH7UXTlLifl1SKM8s1AGEYdoITfEi88u4+BwOXi2v1D2UeaBnqMbOZWtlkriH2XENXHiJD9kYeYycURMqcfD5bK3B+pcbybJk0zTgYuMw3Cth2iKrKNKsmg0mAbQf07QBTVykXNF57r02lqHNza8B+z0WVBQHU0BUKuornh2iKjGVqyJJEvWQiyRL1ksHYCbFMIcQomSr1soWhK4RxAggr8YO+gyzLyBLEWYoqg6LA3d0xXpigqwpFQ6FVtzA0hXv7I/wgpl6xuHSqjqKIBLWCoXFhrcbVOx1ubY+RJYnvv7WL6ycUTBUviHlvo4ckS9PehKbKtPsu+12Hv/zxJrIs863PLYDaIoqS6eyoUjzuwP0v/u9f4ub2gPlGgdX5Kl97fonBxKdeNlEViZtbQ2plEy9MCOMELZanwt27e+OH/k61B5LPJk54LFFt7Nyvr756hIB6gscjjBLafZEUM/eEBkanl2q8e0f056olfZpuI0nCrGvshqT5XGm2XmAwEb2FNM2oFHR0TeXccoWxG2AZGl4QUSqorM432G7b2F4EkpjBV4o6jYqFF0T4oRA3C6f+46ZTYZSy13HoDFwkScYyFDxfCK+yNKOs6ViGSqticma5xt//xhm+8/o2/dzYIiNDkkFXFSolnf2egyTB8kyRgqlxZ2c0FXHEScpgHDC2A159r40fihSZ/9MvnqFaMtg+sNnpTKYGa0szJZpVkyTLaFQtzixViOIMQ1NYnRMmMy9fMMiybDpbGNlidlYq6I912n+QxwFiDesMPIIooVERpnoP4t7eeDrrO+i7XDn9aLO2B2Hq6nT2oioS64tVttr3Z4FBmDB2wse+3p8V1peq3N4ekqTZtHb8LGK7PWGnYzNTL3B6qZobAQoH+rk82fqThqLINCoWf/nqBooi82tfWyPLMt662aVSFEbMf/bKJrYbUipotKomtheJmtcs0KgYdEe+SJAtKDSqJlGSolgqMzWTds/F9mJSSeLlczMszZXZbtucXa3xv//FTTQtIUtF72M48UWyTZqxOFNkkJsiJknGvb0JSGJGaegKC60iSZrheBGtmsn51RqvXT/AD2K+cmWBJBXpVhLkCbcSaj5X3O87D70PV+/2sL2I9YWK4DsBkiwRJCmxG3F7e4iiSPyt5xcZTHwO+i5FS39fziXc5wsBH/g3r5a06flIU2UqRZ29rjNN9d3vudhehIwQoh8VcWiqzPNnxGxGVWR0RcZ2u0RxSrWkk6UZ5LfZyA4J83PBTwvbDacCDoDO0DsRcZzgfdGomDQqJrudLgVT49zKs1eHB48QbGTZs9//XngG790gPO5eemja/yzhsNfbHXqUCzr1ivnxijj+wT/4B9N//8N/+A+f+ged4KPBodocRIH8wrmZx7rI217EmaUathtxc2uILHmEUUqlaNAZeLRqJoosY5oKEzckjGNevd6mPwxw3AjbS0nz6DNJyvBHAbqmUrRU/FAQRS1d5Ts/2ebWzoiipdGomHzt+QV0TSNOEjb2xvz/2fuvH0uyPL8T/JgWVwvXMnREqqrM0lXdXU22YDd7yOUslgs+DLjYBUGA5Dv/AD7uElyAAEE+LcDtARYzXGBnl2Ioprqb7K7qqq7MyqqUoT1cu1+/+to1bXb24ZjfCI+IzIjMyq5U/gUSSPdwYX6v2Tnn9/t9hWtp9CYRSqLw3v1eUZy6aKrKxZUKzapscoymEblQZGz5fIm37/aI05w0jUmzCS9ebLOxXMU0NCxdJS8OPtMgeeI1ePFii3bd4cHBaOZiutuZUC9bDCcRC4Wr2IOj8ewA55g6V9Yb/I1fu3jmYZoGyaxAhlNH6yEAlqHSG8sBURjnNCo+b9w8puIaeEHKQsuVh8jelLJjsDJXYmO5yiRIieKUkmOwsVhjPI05GQTomsrGI8rcb7ywQJRkeEHKhaUqq59yfOM5fjlYj4lyLEOj0/dlMgtw1Pd5YbNJ2TX5ve9sAnBw4vHz2yc4tslkmtAbxQWRWLrxboUjojjlhQstXrzQ5N0HfRTgOy8v8fLlFj9656Bw3+4y8ROW58pYuoqiarxxq8PxwEcVCqapESWyeXfaiMtyBSFUSrbBXN3l4MQjSTOE0KmWrJmDb5zk7BxP0DQVy9IYB7IgGvvS1aY3ClBQSPOc3tCnUbZ4cDCiOwowDZ3Lq3XGfkTVtbi7O8DzYwQKuRC06w5ZngMKk2mKUKRrZtk1EIBr6TiWzrWNJmkGcZKyfSSboYNJxMRPWJ0vU7INLEvj2lpDOg481iQZjEPG05illov5CAH69s5gNhgejCPpflG8PiNPPvvtmsP9g9FMZd8dBrxyuX1OLv2S4e17J/zw7UOEgN7oRIp5LI1/98MH5ELw7v0e331lmWsbTe7uT7i4XGVtsUKcSbdKU9eYBDG9UUC77uLaBt9+aYnXri/wk3cPGXsxV9frZLlgsVXixmYT135IGqq6D5u3uqqia4pMzYihOwjpjyKubTQYTEIOT6YEccrJwGepXaLiWkRJhq5LAlgQpISRYKEhnTI2l6psLlUp2VKQFUYp1bLJ5lKNgxOPatmiUbGIkpR2zWGh6dKsOdzdG8jGRJpx0PWplgzCOCXLIYxzpkHE1v6ILJdEFNtU2et4mIZGo2Jzea3Ot19amv2N//FHD+gW0dG6pvK3fuMSbxduxH6YkmYy1WupVaJasmYOXv1xgG3qaJpKnGRYpowiNQ0VIaA7ClGAwSgkiKVjuKpWSTPBre0e42kskziSlDjNWGyX2e9MmGu4VFyD5XaJxZbLUc+nPw456HqstMvEacLO0Vi+n5bO6sIHF02KoqBrD9cly9Rm7hzKU1KYQCY1OZZGEMmvkw5fT647qqKwf+I9bFgp0pF57CW0arLJezIMP7Mk2y8a5uouNzZaxHFGbyQds1tVm5NBiBdERB9Sl2YCVBVMXSHNBHnxcZYK0jybiTQqrsWVtTr1is1f/94FHEufDdY0TYqRQGc0jbi/P2av4/HgcEzFNamWTC4XZIDH8fi+ttgqzRp5d3eH9Mchy+0S0yjlhc3mE02+X/vKCgDDSchgFLLQcrm8VqfdsOmNAkxDQ1EUvnp1jvnCqedRxEnGe1s94iTH0FVubD6ZsHeOLwZ6o2AmUht7MZqqfKmaxkvtEnEqnSvv7w2Jk4ySYzIYj58p4AAZa66roGpS2J1mgrJjstgsE8aSTD0tiIpJQR5VFZVO32djSTZbb1xocnDiMZhEVEomL15sP/V3nSYyzKa5ikzLVBWFIEqZqztPHWJ+FvDoIPVkEPDy5fanSrA+7E5nA9njYrD7UUmhv0osNF1evizJ7CDFQ58ngvpfNh6t/U8TME6RpTIFQw78xMyhHuC9rQFRnJKDTN5BxdDksHIapWwdjMlzQZZnCEVQLVvyEcylaNgQUiiwsVDBdQwMXWW3WE9FLjB0jYtLVaI0x7F03t/u4xfOenf2BtQrtuyvdafYlk6r5iCAqR8zGAckmWDoCVYXSowm8r2/tFpDURTyVJApGf/lJw/Y7XioyNqiM5CCloOux9dvzHNltSnFZnnOg6MJQZTSrNpkuazLAeYaDrWyRa0s65T3tvrkhWlFbxhw2PVIkhwFOWg8FX4+2u63TY35uoNVnBWqj/T58rNzAQbjaEY0v7BcnQluZH0W4ocJiqJwa3uAUxDJj/o+L1xozUg0XzSsLVSkkUaRtvBZXo9+VRhMQraL/t3Yk725lbnyM7/PDxNubw+4tdOnP45wbI2kkxWpNYoclseynhWAiHKMmstcw+G3v7HBj985pDMMsS2DX7+xwOZyjXbD4mc3T0iSnPsHI9Q0IweyHFRFJt84lky2LpcMvGlC2dEpOzZxmpHmAttUeftel2rFxPMTma6JPKsvNF2EgM7ARwDDsSQn3dsbMZgE8hlG4aDrcWOzzdpChStrDcqOwVHPp1Y2Z8RNu3DmS9KMd+51eXBoYhkaX7sxz4XlGiMveijUsA0qJYtKST6vV9fqvHWni2VpXC4Gwkmaz/p08noj9jsT9k8kgSMsegO6ptKs2limxv39Ef1ifbENjZcvPezZmbqKY0gSZS4EuqbQHUc8OBiTZTl/8f4xtULYdjL0+d1vbf4yt1FBPBvMeq9plnPlPHX7HOf4pfCgcKWebzgfSWD5ecblVbkmbhVr1fkc4hwfFf/1zT1+/PYhAO9v9fg//vbVWT/geVGv2Hzt+jzvPxhgmxrffXmJesX+QDGVHyQcdqeFANJkfbFCvWzNxALbR7JGT9Ic29bZWK7imBo3dwaEac5wEqKrKrWSSZIV5kZCnldjYGOxShRnrMzLfun2oScT0nNBq25xbbPF7vGEasUiy6TR3UsXW1zfbHHYm/CD1/cZTqQJkhckCKSJUi4EilCZeDGylFOKOURGuWSxd+JJsaimMPETTF3lGzcWqVcs4jTjP/zZA37y3iFpJt2/y45JLgRplmPo0v38wcGYXAhOhgFTP+In7x7z0/eOQBGoqsr7Wz3+/n//CtWyxfUPcN1uVG2++cLDWYpr67j2w7PqixdblGydP/vFAUGcMt9wKRfzgJKtz0jwmqY8td86V7NxHQO/6AGszj/7HHyOh8hzwftb/VlCn+cnXF1/9hnw1WvzLLZcwjijVbXZ7Xhkec7qfAXXNvjK5TlKtsFgHKIoCr/+1WVUVSXNct5474j373c5Gfj0x1GR0Al+mONYBpdW6+x2PAbjsOAJySRggShSLXMqjk78SJqFQDok51mMQM6k/ECKlgxDikc0VfY7bEunUbU5Gfi8dmOeOMsJggQvTNFUaNUdLq/U+OaNRbaPJzNR0aMpPpoqzWLv7g8ZTCJUVXJu3rpzwq+/uirnmpo2602mWc4rV+c+8DmB00Q+2aMZT2Nu7QzkH9bzubRaeyKB8gkeR9EH2Ot4HHZlDXLc93npUusJg7VHEy6lkD597tr60dkLSE6JR1EHKXwgP+xXiWrJfK4Ew88zDrsef/LmHgi4szskzXKiJCMIJeF9OIl48WLrU75KyLKM/+W/3qUzkEIDL4iZb7gsteU9dP9gxGASInIK/kxMnkujhSBMubbepDn0yXNB2dG4vTfCj2Syb5rIHoKmqWgqeGHK7377wkxY+O/+dAtNATTJTzjqeHjF3DpIUq4WiU2GrlEtG+yfeCSF8YRr69imVqRjaPzizsnMMOoHb+zwlctzs55fnso+oKrKecTjxomvv3/EzQeyx3pvb8jFlTr7Jx55LqiVTe7tjmZ9iq3DEdqxWhjkTplv2B+6Jt980C/Mb2Tv8qVLD2cl1zZb7HWm9EaSuPudl5cllyvOqLgG24eTWT9CAL1xMEsJUjXlid8FzEQil9cbOLY05WjXHXaPJ4TFa6tpyidWA1iGdmbG81lYX87x2YYfRLx9r1uY0qS8eeuEV658vvaDS0+pfebrn/859Nbh5Nlf9BnDYtuZpcwrKlxd/+Bz3GcVIy/i7bvdYhmdUq9aH8i3+TB8YqyXKIrY29tjc3MTTTtf1P+yEMYPFZBCSKX1B22ihq4SxRn1isXmkoxQP3WuEAjSTNCu25Qdgz9/65DeOOTe7hDX0XEsA79wj1aQ5EJFlS74qfaQNNifhPRHIf1JRHfks9+Rzp6Vko6pmUz8mDTNUVBwTDkQEUW8aBin9IahjGjUVeplm5W5Mn/9excpmRpbB2M01Sr+VsGNCy1J6Dkcc3tnSJJmVMsm8w3nqUrzOMmoli1UVRIikkQqZIeTCMfWqZct0jTn2kaD97f6xElGbxjyb//0Pi9davHVq3KTKTkGtqlxd2+Ipql85+VF9jvSuXShXSYHyq7JfMMgjOXBXY9lgTz2Yqplk6trdS6v1VFVlXbd5YWLFIp9i1bNoVVzWF+sFlF3Dw9rrm3+0sOhc3x2cOomE0QprZokJZxxSxJIZTry+V1flE4TIhek6UMXzyTNee9BnywXqIrCJIhxLIOLK3UurdVp1xzadYckySjbBif9gN4owrX1Ivo0Zm2uzN39KQiFaZhgaiqlIn4UIWbuGs26dM9pVCxeuzaPoii8crnN/f0R//kn2wC4lkoQZViGoOqYtKoyEjTLBXNVmwdHE0xDpVm1SDLYP5GNWsvUQCisLZbZPVawdI0ozvEj6ZqvqwphLBNGLFOh7OqMPIFpyNeqVjJxHZP+OOStuydEiSSlu5bBxlINU1fZP/Fmz1QUZUWBebYgur8/4kdvH4CQzaHf+84mtqkjhDgzGA6idNY86o4C+qNQxj1vNJk84jqTpDIStuScD0++TLi9MzzjRHRvf4SqCAaTiDTLSbOc3aMJF5ZrhegnIIwyvvXCEgddjyjOKDsm1zabhFFGs2az3HJ5cDAiijMMXe7h19cbXH2kARnGKbvHcu+9sCIJEK9dn6dkawwmEZahz6J3x9OYTj+gUjJRNQVV1VBQiJKMB4dS1Oh5MUvtMq5joD1GxLu0WmP7aMxxL2N5royhq8RpRhAlVFyDX9zuYugKC60Sv/+dTYSQzfzBJOJkFJJmgiyDOMuIk5SBJ9M4dFXl7t6Q+ZZLmuW45mkahX/m908ecc89OJnw73+4haIqLLdL1CoWAoFpqlRLFpdWarPmhWsZfOeVJd66cwLAynyFsR+zvlghzyAaB5Rcc5YOpGsa7brNxlKVwSTAtQ0piBEQxxn7Jx4Vx+Tyao2F5sNi7r/7tYuMvZj/35/em11vpWTx7ZcXCaOMN2+fsNB0WV+sYhkab9094Wc3O9iWzu9/Z51a+WFz+NJKje3DCUmas9h2P/Cs95tfW+ONm8cIAa9dm38i5hwgF4K5hjNr5Ncr1kz0copnxc6e45PD16/Pk2Q5g3HISisHTcb+Hg98nielM88VGlWLLM+Z+DEqCrkARVExNAUhwHV0kkwOA496U6JYNvg2l6oMJiEXVmrUyxY7xxOGk+EsgQOgXXc+VuNvc7mKokgnrstr9SeGHafYPZ7w397cQwhwLI3f/+4m/5c/eIn/6Qe3OO77XFqp8Ruvrj71ezsDfzY0StKc44HPxmL1qV97js83HnX9AQjj53g4vgBI0oztowlpms8i6LMcbEvDjJQZwfF5oOnS3VvkslZt1mw2lspYhsabt06kaFqoxV4gzRk6g4AkzTB0DdvU+YNfu0ic5k8VCJ6iVXO4XAxENE3hK5fbqKrysePH/7KR5aIYdqR0Bv5suJpmOX6YfCxnlE8KM8d7ZM3n+clnnjR9abXGzpF0XV9qlz4TznOfFbRqDlGcMfQiSo7BXEMm24Ec0Jm6hm3Ke+/+/ojRNERBZTCStTKZTOwSKNiGKp0xDek0F8QpWZpjmzqOpaAoCmM/ol21ix6gycpCiTxTcGwdbxrTnYTkSLfc5fkyfigd/t+805EEJQF5llN1TIJcYJsar12dw49S0kww9Q2S2RokSDP43/3GRUDu/T+/c0J/ElEvyTQMvxgobh0JXrzQkulASHE5dXnNrqPP+m5+mDCchGiqMhNan8IPEoaTiPE0QtdU3r3fxQ+l0KUzCCiXDJoVG1VV+daL89zaHpGkGb/37Q36k4itgxFzdYeraw1u7wwQQrA+X2HnaIznJzi2jmVqM5HI/f0RzaqNoijYhlaYN0hDhzOCDSEFJF9UEYemKrOe1DkkosfOI4+fVz4IEz9h7CegyKQJPxDSDdbUqZZ0hp6KaajYpiZdbgUIkdGqOfzwF3sEcYYfpoz9mB+9dcCbt08oOwamoVGvmJQdE9vK8Hz5LC80HV67tkCYSodn19I4wKNZc6iXZS1YdgyEkNcWxSnDSUguBGXHYG2hzO3tATe3++wcT1BRuLreYL87YexHxAXZQgFMTeNbLy2yXuz7S+0yS+2zhL7La3UeHI659UCKsaZ+QjfyyfKci8t1+bM7HqqqzH4OQJ7n/Pk7h7PUHFVVee3aPLom14nTusCxdCaP9O6W58pcXquTplLAsrFY4e17D82ZklT27t1iz9J1lV9/dZXOIGAwDlmcKzFXl7VMmGSEUYpjalLE8Uhi5sdFFGdn1rhTAsY5znGOj4/7+1LE8WVJ4QBYbpdxLDlv3e14bC6d79nn+GjYL+aQQgj8OOP1mzI58FmJkF6QsN+ZoChy376x2eLG5kPy6skgoDcKsEzpev9oj9G2dBoVC92QtUCzavPy5fasfzAuRAS6pjJXd5hvOlQck3v7I0xdRVEUojSnMwyoliy8QNYQYZSSFW7fJcfA8xNURWEaZCRZzlrD5fpmk3rF4vbOgMk0RtNUxlM5s7gqBFXX5mtX2/w4SXAdkzwXkuCKPBcbpk6OwMzFLOna0DRqZYuJH80MDVRFkjZ1XWU4idB1lVu7fQbjiDSX5NOyo9Ou2diWzjduLOBaBvf2RyRpTppJA5s0zYmTHKEITE3gozCZxihP53qewUHXYzSRTuunqcqnCKLsDEl1GibYls5vvLrKT987Js1yXr7cfoKIDmCaOr/37U22j0Y4ls7mRxT9fNkRJ9lMwAFnk0yehUfP1y8+1rdSVXlW9wvH4tM+0jSI+S8/jjjoThl4IXmWz2ZHcZoymcY4tgFCECcpQihYpiCMExRN8ouyXIrMTVMlinJQZQJ4liGNGBEkeY5h6Gi6hm1oBHEKikq7brM6XybLc/6///UerqPjRykvXGxhGTrTKGHsRYz9mJWFCt+dL3PUlyaQr159SAJVFIVr6w1+cbuDYaiUCoHR6XF6ruEw8iKW2yU8P2FtvsLFDzgPTPyY/ljykk4NpCZ+fMYNYjyNn5hrjIt+3TRMGIxD8lzw6rX5M328vEgSePzZce2z5lq/jGP+xlJVroNxxlzjs2ua80XDUc8/c48cdr2ZuQdIvleWi+dK1vnLRG8U0hn45IUD1NbBGMeUqVOapnLUm2IbGkmeo6sqni/XgDTLMU2VlfkytYqcO4o85617ffJMJn0PPblXJGkOSIPle3tDusOApXaJa+t1DrqenO87kutzeq9HUS5FjUmOpilsLFV54/0O0zDFMlSiNGO17RLEKVXX5MfvHs0SwcdezMiLaNfl87q6VOXqRoPDnodtGHznK8vsn3iMvZhKyZglZQBkmaBZtWhUbRDSXOL+/pgozlAUuXYuNGXvVtfVD50/ZVk+E3CANJV8VERt6iq//93N2RwlywV7xxM5h0/t2RoCUhx6aaXOYddDVRSurNU//I0VgiwXZJkgzwVX1xoyAVUIVufKn9h9Z1vSdPe452MY6vnc9RzPxN39CXnObD3cO/E+5Sv66Nju+k987ng4ZW3+833Gvb3de/YXfcbwnZcWOepJA6Gqa/LylblP+5I+MsI4o1IyCeMUQ9dkctLHwMcScfzhH/4h4/GYf/SP/hEA77zzDn/v7/09RqMRKysr/OEf/iFLS0vP+Cnn+Dho15wZydu2tIek66fgSjEkaVZtWjWHMEolodOUxfVi2+W459MfRnSGAQhB2TWJ4gxNVXAtA0NXGE8lOTPNBfWyyWgak6UqWZYznEQMvYAolkQT8pzj3hTbNrix0WBlroKmSFW+VhDL8sJVv1V1+K2vrfKffrpLmuXYlsFvfm2N9cUq42lExTVnB6Jm1aY/DjjqTnlwOOLWTp9a2WTsxxz2fC6s1M/87W/cPOZPf75PmuQstlxeu7HAXsdDFJGScZKjKDJWsVa2WGyW+E8/fkAQpeyfeOx2ZKrAtaKZESUZi80SqqrQH0d895Ul/vztQ6Ik47svL1FxDf7o9T3CKGUyTai6BpqqUC2buJaOoiioqjpz/37awedph6w0zXnzdgfPT9hcrn6pGtFfRGiq8sR7WHXNWYJDnGZnyES5EFxYrnHjYpPb2wNUBa6sN8jys8XC1v6Y1bli0KlIxxlFUTAMbebuIuN7c0lEMHWCJCMTAkWRQiXpcmnw89sn8mcrCiVbx9BV2jWH1YUyQpRxTI28EHmszpc46k4YjFPp3NJ0yJBE8ijOGHsxuchxLA3HNlCEbPCgwDSUcbytqs3KXIUoyplGyUz0pQB+lOCYBooqSWtpmmMYCmkmnWC8IMVQpcuvberYpnT1yDIxIzy36w+bLY6lP9Ud9vapywaSLLXXmXB5tYGiKJRdYybkcCydSys17u4NeXCYMN9wsQydnSPpEHKqojd0OXz/KAiilK0iOWh5rvSB5NdzfHZxabXOX7x7SJZJp6cLS1UOuh5ZLp8zgSRs9cchhiYFGeNpzLtbPRQUyiX53C+1Srx4scVBd0p/FBLGKUe9KRXHlE25xzr1d3aH9IYBQkClZPDXvrWBH6XsHE0YeRFJms8a9dWSyXzTZf/EwzI0DE3BdWRjw7V1FKA/lucERVHOiJNApkFcWWuw1C7z3pZMwKi4JlYhdDzsTam4BkMvpla2WJsvs304wdI17u2NcGy5N6qJSr1i44cpjmlIwVfD4XsvL/GDN/Z4Z2uIY2l8/7WzRO6VuRI/fueI0TQiTXLaDVe6EocJL11s076xgK7JqNY/+8W+dPS/Nk/ZNnhhs8WllToTP2YwCbF0jZ++d0TFtegOA+I0Y67uUnYMvveVlZlz32vXFvjx24dMCsdy1zFIkhyPGF1/8jkvuzoVV4pYdU2l4poIIcVriy2XwTgiToYstFz+058/mLkA/9s/3eJ/+P0XyLKc8TTGMjUuP6t5gyQIPkvsaRka9bJFqWjgN6oWrq3LfaEg431ZnAo/C1BVKSa0TZ1G2yRKhEy6Ktykn4WSq8sGY6vCZBoy8hL8ICEXgjhVKDlGQcKWxM1TotF4GvPixRYvX26zd+zJFJwsRwiFiR9TK5k0aw7Nmk3F/egDAF1TufQcjgK3th+6zgZRxoPDCS9caPF/+oMXn+t3nCKI089Mg/wcnzyaVZujnnR+UhQ+9Wj4XxW2Dsaz1E0Q1MoWrZrFcCL3FUNXyJJnN36EkAOS04FEnsqBS7VkcWWtQQ70JiFplqCpKmkOO50JKwsVbj4Y8MLF1uy5+jABB8if/40XF7k+jTF0lZJjMJ7GM4cr5XkYBr9C7B1P6BQDnaEXUSvJM76uqZ+6YKLimrP3X1HOOg9+EgiilDBKKbvmJ5aYYZv6czlHflmxPFdm+RGX/nbdQQhBFGfc2R0SxSmaprB9MCIphqxBLFM7dF1BiBzX0ggT0BTBYrNElknRVaQUzWAh75d6ySCIMnIh8IIUkSs0i8S1IM4oWbrsx4mcJMtn9aZt6HhKglDA0DU0XZ0NWmtVm//919cBeOO9Ix4c3ZZGEipsLFZmBj47eyNG0xhNUTgZhgynMeapS16e4/kxaSbQNLix2ZwRUEbTqEgVkevVxE+lSCXKztYhCsUgWq5/XpCQFCYXCjk3t/okmcAyNX7vO5v8n/+GrCEG45AoGfJSkST0+s3jmdPsNEj569+5QJhmWLrGL+6ezHoCAmavqxByLRtNZepCo2Kfua5nkdzO8cVCvWyxr3myhlKYpRo+CxXXwDJUqo5FVw1RVbAMhYkX4VoGrYpJEGuMPLmXWqY0ADruTUnzwlykIFdNgb4XsdIuUVUt/EgmTWopaGUV19J59doCjbJFb+wz8BNUTaXsmDTKFq4re2yn7pxhlNKuu2wul+kNY9YXy2wu1zjp+7y31SdOc+IkI8mzWa9O11RELkjSjErFxDS0DxWBn/Y4bVOnPw457E0Bhe4o5P4LAy6vNbm++aTD2siLZwIOgLs7w5m5zPWNJgfd6ay3fzIMZuQoRZH9GecRB+mqa57p2T1ukrC+WOG3vrkuhbRQuHHK1A7b0mfr4qM9xo+LsmOcSd5s1b8c59xznOMvE/eLJI6LK1+e2ZmqKlxcqfHu/R53d4fnIo5zfGSszJfZPZ4QRBlhLImU7z/o89Kl9pk99FFkueDWdn/WTw7jlFcuS4JNluUcdqfcPxjJvX8qyden9+bb97rc2xuSpjkXl+pcXK5zfaNJtfTwPF0pmUTDQM7UgVrJwjZ1yo7OdBpjaCquJcUhKNLtdOTF9MYhK+0SC40Sjq1jmzGDUchc3aFRtfD8hO0jjzu7I6JYCj7GfkiSZPSGPv/+z+6TCyksD8Kcqe8zV7OpuTrHw5AklTPWii0NMOWZQ2Ftocxyu0QmXDy/I1PVxEPht+tIY6jTRAORZUS5oDMIeflSm7/7By/Qqjn8xz/fQgjBYBwQpylRJOezqqpQ0ClwLZ1KyaRS+vD6ozcK2DuWHJLT+cSpC7t8jY0Z8VxVldm8oFa2+O1vrj/zvnFt/Yxo5xzPD9OQ/JBTIcfH6b9/GFzbIIxTBuOQkmMQFqIR09RkWoaSIkROmkkxwd29IS9caDL0YqZhiqYo1KsWqqqSJBl5LmY9fEVVcWyFLJNi7lQDTVEIE3mD6pqKZWloioqiGlxerWGaGkMvojcK6I0D+mMwDZ3eIMAwNCxTpsq7toHIBa2aw2vXFz7gb9P5tVdXZOpOklGv2Lx8Sd6HjYrNy5faBLE0qvggcxE/TLj5oH8mDW95rvyEKcPT5mQV16TT9zk4mSKEII4z7u0NqbjmjD+gqspTRRWXVuscnEhy+y9rfqJr6hNnnTTLmRTzxE+7r/lFxXzT5d1iHg6w2CwTZw+TOEqO8ZmYT9XK5sw8DmS/YjyNZW2bZJRLJkd9H0UoCCEwDI0klT3I4STi69ft2Xxv53g0q4kFBQVQyDmcAPrjkP/451vS0NQ26I0CllplciEwdIVBGlK07TB1lesbTeYbIXsnHvf2pCGma+nomkKWipn4YjKNaVRMhhO5T1mmziuX2wy9GEVRuLRWQ1elSNLQVZbmSjNR6sSPsR6Z2WuawsZilfFU9iRX5ysst13evd9H11W++/ISg0k0eybnGu4HvraapuLa+oybJefrTz7Lp3OU/c7k4d/kx2fEW46lsTpfpuqaKArPTJ/fPprMTIHGfsyLF1p/ab34ZtX+0szhPm0IIQqTxYiyY7C5XPtMrCMfBWtzJXRdmRlRn4ojP09YfMr9Pv8F4Og9Uxz2GUS94nJltUaSSsPezyNvaaHpynqtuPaFZ6zvH4SPJeL4N//m3/C3//bfnn38T//pP6VWq/EP/+E/5F//63/Nv/yX/5J/8k/+yce6oHN8OJbnygU5S6pWP2xI0h+FvL/VI05z1hcrXFhuMJ4mpFnONEjY2h9x88EAQ1eZ+jHVksmLF1rc2R1QcnWG45A4zQu3f5Wqq3F1s8VP3z2S5Gldpezo+KFBkkoSlVAEfpAQJjm3tgcYhsbmUoXXrs2xfTShWXFIEjmo/ivfWOXXvrqG4xrsdzwc08APU/7XH23RqNhcXKlxa2dA2Tb4/e9u0h9LB73D3hQvjEnSjGb17CLqhwm7xxP+ww+3GE4iNE2l74VcXq+zMldmGiSYpoauKqhFEoCqKsw3XZJMOmikac7Yj3nrzglxkrG+UEEI6cwF0s3/tPERRCmH3Sl3w5jtwxFRKl0PV+crXFip0ahYqIoChTJ+PI352a0OC033udxJX795zN3dIQD7XY+Ka8zUxuf4YmC+6aKqMg1DVZRZ9ObIixh6Ea2aw8sX52SyRZZzcbVOxTG4szOiM5iiKiol++E6kGcy6UNVFW5tD3Btk7mGJEVkuRRbbS5X6Y0CHFM69GuaSsUx2OtI109NlfG5Jdckz3IOex4XV2r0xiFZJviL944AwX7HYxJkpHleNHak00TJ1onijCTNmAQJWSabuM2azVzNpTuUiTiaqnBhqcpC0+Xly23+9Of7+EEKImO/69MdhaiaQrVkMg2kQ6ZjaaiKiqrJBmZnFHC5aFr0RgG9UUizZqFp0gFYkgCnCPGwEBp5Eff3R+RCMN9wuLPTZ787peQYbCxUZ8QOgKvrDY56U7JcEIQJb9/r4ZgaawuV2WFaUeSQyHV00jRnvuk+sTbnueD+/kg6sdoGV9brZ5o19/dHTIsY4nv7I8queR5V+DnDCxearC9W2Tme0KrafPPFRd65e8J/fXOfaZBScgxeutimWbPZ73jc2R0y9mMWm650fVZA1xU2Fqq4tjEb6CdpTtkxWSoaio+7cN/eGbC1P5KOmy2XFy+2qLjmLL61X0QhV0tmIdayMHSV/jjkymqd7cKBtla2EEihx1zdoVIyGYxDXn//mMWWy+p8heO+zw9/vk+c5WwuVVlql7i4IgvLP35jl4przMia3jTm8loDFJmGlSM46gdkWYo3lQ3jSskgy3PSVPDCxQa5gIpjoLpg2wZZkRTxo7cO2D4as3s8YTKNZwMIIURBiFdZbJXojQKGk5Af/uKwiESWf//f+v5lWg2Hd+52OR5MUVG4OezTKeJbkzRnMI6olSxSSyOIUjRV4fbOgDjJ+e9+7SK9Ucid3SFZLsiFYKHhYj4l5lRVVX7nW2u8e78PCBpVm2mQ0q7Zs0N7GKcMx+FMwJHlgq2DMT9591AKQUsmKHBxuUarZvPgcExvFOJYOlfW6mcaPoNJyNbBGARsLFVo1Rx6o4Dtw8lsbaqVLXIhePN2B1PX+J1vrWPoGjc2m3SHAaahMf8hDapzfLL4kzf3eOP9I7IcjvpTvv3SAhXX4KA7PePI+jScbhsqUoBTLVkoKKRZThxn2JbOUrtMo2rRrNokccYP3zpAV1U2lytcXquz3C6jKZK4teiWJGlyGsuhqiKjlG/tDFhbqJy5Lw67Uw66Hrqmcnm1TqkQgO11JmiqwqXV+nMV1Y8L0EsfYbgw33DxgoSdowljL8LSNd7f6nHjQutz1+A6x4fDtQ1euthi4ieUHP1LM4R6NHUTFJbnymwsVrmz+wtGXkyr5nIy9InTZywWyAHLaTqPdHPM2Vis8MqVNo6l8e69LvemcSEOT2RKlyKJ/n6YfKQmmabKlCegSOySQ4p6RYoGj3o+piHXjk/7vXz0NZ5vuFRLJuUiJeGTEjZ8XCy1S2iaFKg3q/Yn+loNJvIcgwDTUHnxYmsWRX+OXx1OCUp+mHDUmzKYhJQdEz9KOOwHKIBlqlipShBmVGyNFIUoSYoEzoTxNMKPMtp1m1evtvn53S6OqbOx2GDrUDrK1coWh70p3VGIoatUyya5EIRRynzDoT+O6PQCDENlc7GCHyYkac7FlRobi1WGnjRVaVVt3rzVkXVzq8RXrsyxdzxmrlnib/76pVmCx1F/ykHRx9B1lXrJIk4zFGBtvsb1zaZ0t2+6gCSLaIrC0pzLnd0BEz9hvumwvljB86Urbv1RsYSQRPPd4wmOpbPQcJmGD5ODLUvHFJKYfX9/RBTJHoX52D1+MgzkEFVIt04USewGWF+osHM8mf3/aS2RC0k0OSWfaZrCg8MRvVHIheUqrnX+HH2ZYFs6L15sMZkmuLb+3M6nrm3wrZeWZvftQdcjiFJ+dqeLAqSpTI2dq1syfcfUGXsxuq4SFftyyZaCwyhOCaKMg67PUqvM6nyZv/r1dW5t9ym7Bs2qzf3dIbtBTBgmoCgsNByqrkGcSmJhrSLdpTORc9LPGU4C+iOFWtmSidaKTAmOkgyE7OeNvYTVuRK1skUYZURJytpCma9cnmP7cMSPfrHP/smUuYbDb31j/QwR4TSpul6xMA1Zf1ddk5Kt8/bdHpfXzgo4wijlzt6QiRcxmUZUSvKMYT3yvNmWfobAtDJXxtBUgjilVbUZjEPe7U5n54/5hsPO0Zg4zblxoflEz07XVF7YbNIZ+Oi6ymKzRHcYEMQpf2elxvbxBF1TeenCk2KTjwpNk/vwKfHk00wBO8c5vijY2h8DXy4RB0hyxrv3e9zZHTwX+foc53gU3391FVvXePt+l2bNYb5RQgjpKP6BIo4sPzObOJ1fZFnOe1t9jvtTjno+C8W8w48S7uwOeG+rx9aBNJwMo5S5psNXr8yfEXAArC1UGHsR8w2HesWmUjJp1Wymfsw9d4QfZ6RpTpTkzDfcokYYM/JiskxwWLjpGobK6kKZVs3GMXVKthQu3Noe4QUpaZrjhzFekNAfh2iaSq1komkqKwsl0iTnpUstyq7J//uP7uD5MSgyrfCbLy0ShimKotCs2qzMlelPIvrjgKkf0xn4bB2MEQj+zu9c5f7+hMVWieOejxfk6KqCY+n0JyG3dwZ852UHVVF5516XwSRiec6l3XB5cDCWs6A8Z3WhzB98e4OV+XJRU53Fg8Mx3WGAbWpPnE/P9pnkmcnUNcI4pVlzsD/gvT7HJw9VVbh+oUmn76Opyscmdn0QvECKFIaTkN4oZKnpSjPWcYQfplTLJmGUYVsUpO2QH719gKLIlBtNV/GDlLXFCnvHY5IsQ1cVdE2hWXEIizokExkqkoCqa5Jnc2GlRs3V2T6ayrQ7RfYje6OAqZ/gRylhnFF2DBxLJ88Fw3GEacrZ3qXl2uxezXOB4Kzx6b39EYNRxOXVOo5t8OKF1qwPCbI2eNa9fNq/OMWpmKlWtri63mA0lUTapxksLjRd4iSlPw4pOwa2pRPGGTc2y5iGRhSntGrOUxNsDF1l4y9JaJlmOe/e7xVrscA0NNJMPHWOeI6Pj5W5Mt9/dZX9E492zebyWoMkzTnqTZ+LhP+rgkBhY6FCnglURWF1rkya5ewcy0SOr1yZ47jnM57GlByTtfkKnWFAFGW0qg69Ucj/50/uk+U5NzYb2OZD0YJtabRqDl4g59euLeeZeQ5DNUJRQVGBTJo3/N73NnnvvhRNffulJY77Pm/c7BAn0kg6STPmGw6uY9KuO5RsgyjJKLsGjbLFn/5inzDK+PZLC6wuVFl9RN/19RsLReKXThilZ9I3Lq/VWJor4/kxm8s1HhyOZ3ygB4cjQKFdd1BVmQB8Za3O7d0hzarFjacYSzyKKMn43/5iGwH83nc22T/xOHyk5/BoH//xVA9Nhffu94jSjK/fWCCMUm5u91FV5ZmiiTP7uJDX8XlL4cmynLt7Qya+vH8urda/9PPc7jCczdCiWJqzrM5/NpPtPwhLcxV+95vr/PCtQyquyf/hr1z+tC/pI+NoOH3icyeDKauLnz8BwaNY+xwm6ZRdg0xIA0/XcbCMT3dW+3Gw2Crxm6+usnfi0azaH1tw97Gqs8PDQy5evAiA53m8/vrr/LN/9s/43d/9XarVKv/8n//zj3Ux53g+fFBz/9TRT9dVdE3lz985nDVRtg7GvHp1gQvLOr1RwL29EV6Y4IUJmqKw0HDx45RplPCdl5fYORqzfTiZKXBX5ktohfresXRiNcOxDZbmSiy0Srx1v0tQkLUVFPwgZq5mF07fGgtLJV69Ns+P3zkiSXMWmi47Rx5+GPO164tsLslr8sOU4SQijFL8KGWlXebCco39E48kzjjseZz0A8aTGNc2SNIpt7b7tKoO1zYb3Nkd4vkJXiCLQpmCoVKyDZpVh6PelP0TD9vUuL0zQFGYKfuvrtY5GfhEhXvxUku6HAZRekZd2244PCiG452+POyGUcrQiyk7RuHeb/LVR+IeAW5u90kLQuphd0qjYj3Tte+hEysyrm4SPZeII45TpmHhOvApk1HO8Wy06w5tHLIsZzCRh7bjvs9c3eHd+zI6t1UIlvJM0KjYuLZG2TGLuD9ZIPbHIcd9nzBO0XWFd+716Ax8HNPg1avz9CcBtZJNnGbUyzaXVuoMC+LID98+IM8FlqmDUKiUpYigWbUp2Savv39Mo2JRKVlMfNngHE9j2ahRVfI8x48SKoks3vJMxrWeuvu5tk0QpphtRbpYKgqVwglvqV3isDulVrZYmivx4GBIrWSx0HR5cDhmMo1ZbLnYlkG9bDH0ZNOpUtaJ44ytwwm6ptAZBKwvVGjXXPJcMFd3UBTliUPv7Z0BUZxh6Cr/7c19XNskzz06PZ9LyzUWmi5BJIVquqbOyOunh+lpmGKb2ixh4eJKDVVVWH4k0vZxdIfBzPVv4sfsn3hnEnmS9JGCTsgUnnMRx+cLt7YH1EoWV9d0DEPjnfs9to89NFW6yeiqSm/ks7FUKURVAgWFRtVGURR6o4BW1WH7aEK5JBsX0yDBtXTcQsAETzo/dgcBSZrP3C/SVID1MOL3ac4JV9cbhHHKW3e6rC9WWZ4vs3M0oeoatOsOy+0yO0cjvDDFC2Wscb1i8+O3D/EjuRf+/FaHMGqwulDh8mqDb724yHtbPSbThJJj8MLFFnGas3vs0RsGMvruUpv3tnoc9X1URZLQa2WrEIlUcWydpXbpYbNTkSSp+/vSUW/32MPUVVo1uZ/7QUqlbHJxucZgHHJvb0Scphz25B7r2jJJJwgTDooDc6fvczzwaVasGak1yXIqrjkT0yRJxjuHY+7uDgsncYvf+sY6L11s8ebtE5Ik4+pGY7aHx0km3UgUhakfU3JNvvHC4uz1FkJg6OrMladZtWlWbGolk/44YhokbC5VmPqS0KdrCq5t0Bn4KAqzJIVpkLDX8c4Mpe/tjWauxPf3R1Rdk/uFqOf03y+v13l/qz8jy//Fe8eszldwbYP1xc9Xs+eLgO1ClJNmAstQeftej94oIokTsmfwskVeiIlVhTTNyDKFIMrQFIVyyURBri0lW7pAyT1YIUaeWU+jGxdaJW5sNukVSWCLrRJX1xu8eUsKfdI0587OgLJj4to6QUGcBMiyjK2DEVfXG2wfjQtilxQqfuU54i2/dn2eOM0YejHrC5WPNMRQVYXLq3WCMJ25ZPlhiufH5+SnLyCeZwD3RUO77swcE50iIes//GiLziCQ6U/K6X7DbJ3XFD5w7VCQZw1Fha9caWMVCZHrixUpgtQUEjnnIyz2+yTLMZ7DFS5OpOP/4wPKziODk8PeFF1VMXSVMMrYPpxw4xMgP/4yaNcdRtMYhEyqurJW/5WLGbIsJy7O+upjA4tPSlR56ux4Wk+cDIKZY1yc5Awm0bmA81PE3b0hk4JA4AUxx33/oZutJ/tPtmkQJgmTaTITIxz3fF67No9rCZI4Y5rmvHJJ7r23dwYkqXTBnPgx/XGA50sjhFZViokrrkmcZiR5TJIIjFSlPwmZb7jkxaJSKxszUsJkGqOpKgLB2/dOcG2dhVaZWtmkN45YnZf176tX5tg79vD8mGbFZnOhwp3dEaoC1zabszTSJM057HoMJyG6quIFEZZpUC3JFN4wSmfOd/PNhzXPaZKebekIpEPvC5faxHFGTk5/FJFlAk1T6PR92gXpYhxJYxdVUVAU0FWVIJG1zHga8edvH9AdBjRrDr/+lZVZnaVrKlkuiJMMQ9fYXKrSGfioqsJgHNKfxoRxxoPDMXf3Rmca8mmWk6Q5tql95pKIzvHJ4DQF9qNg5EkTk+sbDX5+u0OWC/wwJUpyRC7IEViKgqZplF0T19S4uz9i4ifkeYaqabRtnTDKEIqCbWoIIUjznN/7zibtustvvrbKNEj449d38cKE415AmmVUXGnisNByURQFkcPQC/nqVWkW8x+LVOo4yVB9CMOMe/sj1uZL3N41iv1EY77h0Kq7OJaOqqkMRgGaofHT944ReU6Y5JiGxl7H42c3O/zVb6xhm7rc85KsSIGE9QUpFKuXLRRVofSUvvjO8YQgTNF1jfXFKn4k+9vffknW2H6YEicp1ZKJqj48s5y6/vlhMksxDyP5rKZZPqvfj3s+i63SbI9M0pwsy7FM+fse/3nw8d3ThBCERf/xUSMXXVM/kVSPc5zjHPIZ3jkuRBxfshT7axvyDHJrZ/ApX8k5Pit4nCPwLHzr5SVJ2C72TVVVnnClfxSmoVEtm4w9OXc43cvGflzM0Q00TeFkGFB2DVRFYTCWaRlRLNP2amUL29Cf2sfbLgSXuq4x9EJJ8LQNFtolNF1lGqb0RwH1ikWr7nBvb4iiKIRxysHJBNuSIls31znpBVimysRPcB3p9D/xE7k3JylR0dPIM5keqCoqCkoxI9WoV2wurEjDN6WYY8QZRGFCLhRcU2N9qcrLl9p0Bj6dvs92PCKOcwxNMJnG/Oe/2OHSSp2llkt/ocJRf0oYSvOoJMlnPf1b2z3COCPLc+7tjik5GvWqha6pzNVtfuOrayRZTtU1nhCiDsbhrA9zymGQCR5ydvn4eUNRlM+lU/IXBZahPZfB5/Ni7EVsH4056k15516vSOSV8/rhJJSzbEsnzeUcv17W8cOE0TQmF6AIQZ7nGLo0TMtyQZ4LVubK7J945Mj0m6sbDck9iFJOBgFBliByga6ptGo2cZpjWybrSxrDSYjnJ2iq/HtzRwooFKT7f9U1sWwNFRXPjzANKcRu1x3645B7e0O6wwBVVbi20WB1vkK/mGFUC3H34wKw50GlcL0/7aee/iyQJjSPikKehsVmie5cOOu3nfIPFh55nh6tK34V/YCRF814YONpzNCLWGiWSNLsiTniOX45rC1Uzjy7hq5+os/yJ4VWzZklyA69kF4/pGTL5+XteyeUHBPHMlBVBT9MsAzZM9M1+N9+ss1oKvfJv3g3RFXANFUUISg7BmsLFaI4o161sA2Newfy/J0JwVqzwvHQJ0kyFpouf/XrG3z9xpJ85ksmf/z6Hv1RgKZKEUWUSMNkQ1dZm68Qpxl2pmMZGt1BQJoKRC446ErOUxRL8UfZlfNKVZVmTFGccTIMyHNp1NxulFg1tVlf7o9f3yEt+q07BVdBVRWyPOPu3pC5hsvVNXme3ut4KIrk8yzPlVl5JFk5yzL++I3d2R78X36yzfdfXUHTtFnP4YULD1Oq5uoOQy+CwiT61s5Ans10lbdun5ALMTPQeu9Bn1c+ZK7arjszboFlaJ9Ld/qjvs+oODsOJxHH/emHcqq+DEiys0KfpEiF/TzBCxJc2+R3vrkBwFEvoFH9fPW5HPPJusfSP3/vxeM4FbZ/nnDYmxJEKXkuZ0HdccTG0qd9VR8dqwsVVn/J88HHYkXEcYyuy2/9+c9/Tp7nfPe735UXtbpKt9v9pS7qHB8deS64vTtg7MWoqsKVNemufRoNuDJXIs2LSPDisKIryqxZ0KrZXJ9rkmQ5Iy/mvQc9pkGKokhysR/GJKlsxqSZYHm+TLNis9wuY2gKN7cHxGpGydaZbzn4UaECVRUOuh4HPQ9NUdg+mmCackiiawo7hxMurjVmkWy6ptCfhIgcwkSKOMbTiOO+T38k3aanQUKS5QhyvCDj/v4IQ9fwI0lWOxkEWKZGMszIDI25isXGUpVqyaJkG+wcFSS0XBQR7hK/9uoKrYbDvb0BtmHMhju2pbMyX2E4CTF0jWrJpDeShMrTQbehq5RsHdNUpZvnU2IwH3dPP/2bPwxrC5VZRJp0HJcb4oc10k4GPn/8+h5xmlErm/y1b21gfsQB4zk+HWiaygsXWuS5dExwLF26W8TpTFU99CL+rHC4QwhadYdW3eHqWp3/6Qe3GYxDjnpTJtOYSsnE0jW8IMYLIl682KY/jvD6cRHTp7C2IJ23TxsXkjCic3m1ythPuLBUpTcK2TuZYOoaNy40qZdNTvoBhqaiqQpxkqEoAtuQKTdX16rsnwS4ZX3WfGxUpMv/6lyV7UNPDnBzGZG4tT/EjzIUBMNxyFHPhxyqZatw7Ivoj+XzN1d32FiqEsWpdJnY6lGyTa6s1Snbpy4eOXf3Rxz1plRLJl+5Mke1ZKGqMhLy7t6QLBOUbIO0SBo5deG4uT3gJ+8eoiqS2HZtXRK1s/zsga1esWZklOfB4897/tjHi63SbG2qleXas3c8oVmzcO3PX0H2ZUSa5dzZHRAlMlJ4da6MgJmAYjKNef/BgLGfsNBweWGzOXOsPSU8AcRpxu7RmKV2mRcuNImSjBcvtdk5HNOoWtI19hFYpibjuAv3WVVTePNWh3fv9wC4vtng6zcWeRx5Ljjsekz8BBTYWKzy/ddWSbOckSdJTW/cPCbNBa6pcdSfsnc0QdNVoiRlMJZEzweHUgDlODqL7RKOFVF1pcDsnXvdWZRpLsQsBrw3lmLNsSdFXDlg6Bp/53evE8Upu8ceuq7y2rV56XR1+rcaKrmQ6+PGYpVvvrTI5lKVVs2ZEcxNXadWNonTHBdYbLkoqjIjLlZKBtPQoFFzeM01MQyV+WYJXVVQFIVayaRWsXnjVodpIFPGsjxnPI2JE8FgEpEXQx+lSE/aPZ4QRil394eYuoZr6fz2tzdmzr6KonB9o8nQiwhjmeDV6fssz5WplEwmfsKl1fpMdHm6PJiGxmNLz5m1SAgxO4fIj+Va86ijUJbnZI8V/6cJJ+f4dJCmGSfDECEEQggGk4DRJCZMnn0uzAEvlK5X0zCjZGsIIZ1wTkXEJVvHMFRGXkQYZawtVEgzwWKrdIYsfHGlRrNmg2A2pMiLazroTpkGCZqqcn2z+YQ7/elAB3H2c88D09T5/mtrT3xeCEGaiedywjcNleBU56xwLno8xxcGy+0yZcckSTPqZYu373XpDeUZ2DJyNBWZ8vjIQv9h4q8kg2pJZ2WuhKbq3NkZMld3aVQtltsldjseWSZQVGTCZpSRJBl3dofcuND8QNJHp+/zoBBxzTfdmUM9yHNJGMkmtIJyxlXp8fP0p4FTZ7wwluTPX7WAYxok3Nzuk2UC19a5sfmkG/gvi4MTb0bCWZ4rsTpfeWKdPF83P12MpjF3dvokqUBVpFtdqUjJDKOMhYZLlgvSTMf3HzqumYaKVxgqVG0D9ZFUONtUcW29EB4ovHuvhx+lRU3b5NdfXSFNpYDop+8eMfJiTFOl7BjSkT+XorD/9UfbDCYRJUfntWtzgLw/vWnEg+MJSSoJHpoK9/eGgCQQ/q3vX2Lix7i2zmHX58q6FGwFcXqGRLR9PCEtzqZhnHJppQ7ItW2h5TINZb/r0WFeLgRzDZcwytA16Vj6zRcWSdIMx9T5n39wm87AxzK1M855hq5xbaNBmuU4hYhtUhhRdEc+d3dHREnGaBpTL1u8ek0asYRRyvsP+iSpJF9c32zQrNmoqsJfvHPI7vGEXMhUjt4wgELEId19B+S5oOwaXN9oPiHUOseXDz9660CaEigwX3eol6UxSpzmJGlMikBTZFp0UBgmnAxk+obstUHJkWd+mZqloOsKIy/m7u6I//v/62f8tW9t8L2vrPDe/RN+/M4Bu8ceiiprfj9OyUWOrql8/cY8QZSxsVTBNnX2OhPyXPbyrIKUuXcy4WQQUHIMNhdrLLVd/CjFsXS6Qx9VUzF0BdPSMTSV3iQgCBJ0Q6PimDPhRp6L2Z43Kvpwuq5yaamGZWn0hgG1ssW3X35yInfUnXLUm9KsO8w1XK6s12dElAeHI374i4Mibdflr3597YyQA56sS2a1y6Ofy3IwNAaTkLu7Q0RRE11Zq39ihKs8F9zc7uP5yYyE9nkkXJzjHJ917B5PSDNRpOt9vkgjvyyuFeetrYMxYZR+6UwQznEWQghu7ZzlCDyP4cnyXBnjNJmhaj/zPrq61mDoRajKw0ROy9BAAUWVvf80lWTw037AXN3hqDudmVKsLz6d2DItSIp7HY87ewPefzDg2nqD77y8RJrmOLbOulNB1aThZLvmoKsKnf4UP8rICgf67jCUXARD5cJybZa8oesqY08KwC1TR9c0FAUQUC7pdAchDw4S6hWbt+91+cm7R2ianJkmqZz5bB2OSXP5NzX7Di9cEARhwmLLpdOfEqeC2IsIYlmLbSzUKDkmV9cbzDVsbm4PEcjeiWlpxGnOyE8wDQ3hy9cnE1KU6pg6QZRzc7tPdxiwczzmtWsLswR24MxsAOQ84fJaXZqDFfPSRxFGKXd2h+x2xvziThddVXjhUps/+O6FZ94r5/hs4e27J/zwrQOGk4ihF+OYGqnI6fR8bFMrjAhhbVEm3PTGAVohesqy/OGZVxFkQpDGOZqmEkQJhqZRKVnoqoKqaJz0ffJMSHPYICZOZQqHrgsmfoxt6gy9iFrZnBGfoySjUbGZTGOiKKVWtii7BrahU69YeIWRQ28UsnM84aVLbQ5OpvRGIW/f7SKQJMTvvbKIrqkzk1RDVz9Wne1YOjcutBiMZeL9RxFU+2HCzQcD4iQjEzlXNppPJHaccg/yXHzidcUH4dHeXpYLeqOQMMpQVeVz59R/jl8etqnz8uU2P3rrAF2TZmjSACGXXJ40I4yyQvAAhqFx3PeL3qRCz4sRxaAhSXOZGlpsMU1N4Xe+tc7u0YRKyaJRtUiynGmYUitZVFydewdD4iTDD1N0TZ3NC/rDgO2j8czkaTiJubBS5dp6HceSJjJjPyYIU+y6w1+8d8zuyQQhoDPwKdlyXwdpUmXoGuPpw7POhaUqnaHPfF0avP789gl5LkUSrm0wnkqOgWOptOs2fpihqlLIlaQZIy/GdXS2DmMOTyRn49bOgN/6+hoLzdIjgs9H5jGZIM1BKx7Bx3sQjarNSxdbBIUhxdb+8My/P/rVz0qkmG+4uJZOlGRUS9anniT+cfBkP+b5ZslfZLRqDsc9nyTN0TTlc2m29cT7+hmY/X1UTOP4ic/52ed/bvY8Yv7PGvwwJYpS4jRHUSGMkk/7kj41fKyuztLSEq+//jrf+ta3+MEPfsD169cpl+WhvN/vz/7/HL86jKfxzP0izwX7Jx4HJ1PiNIfikBPHCb6qzCIOBRTqeri3P+C9Bz3yDJpVkzxXSLMMhCDJYbczRVcVXrzYolG1i2QAi0bF5EdvH9KqWFi6QpgINE3D0HMmQUx/GFIrmxz2fHRdAWREYxgmaJrGv//RA9r1Y756bV5GPI5D0lQeQhxLQ1WhNwolQfNIHthUTQ630iIlRCuGNUc9f7Y5VF2TtOGyPFfi4kptxnMpuwYlx2AaSPLl3GMb4o3NJtc3GuwcT4pEj5j9jsfJwKdVc2YL3up8hXt7Q5pVG12Twg0/kkT7kq2fUdueYnW+zJ3dhwXc8zgFvHixRbVksn8yIYxTusOIo55UALfrzlPFHO/c7xEXrv4jL+bu/uip13OOzx4Gk5A8F6zOV4gT6TxvWzoVx6A3DtF1ldEkZjAO8Qp3m1LJkO4ammwSnDYFvCChVrbIhGyWarqGyAVRLJ0ybu8McCyDpXaJ6xsNrm00eH9rgBA56wsVXro0x+p8ma39EVuHYzkwFdLp/be+scbEj9k99rAtDYGg7JjUShbVssn/+qMdvCAhzTLadXcmflqZLyGEoFW3GIykowYC/uc/usPmUg3X0jnq+TSrDn6UsHU4xrU1UiFIshxFlSkep1GBvVGAX0QX73YmuLZByTUYTSMG45C94wlxknFre8DFlTrffmmB97Z6VFyToRcxDROubTZmYjdDU1AUwf39MZdX62SZJLJeXTeZq7v0huEsoWPpMRc+z5dunLXy08lgcw2H7jD4wO9fbJWoFaKVNM3493+2RZxK16Tf/sbacyXwnONTRjGoCGOZ1LJ3MmFtocK793sEQUKSZSy2XXRNZaczYXO5xqXVGmsLFU4GPsNJTC4Eb93pomsKtqXz8qU27ZrNH72+w2Acoesqf+Vra1xYrtEfBdzdG2HoKpWSSZ4X7s0C3r3fJSgIlG/e7OBaBottV+6hqjIjQAhkA1LTVBTlbLF1a3tAnObkaU4/Svnpu0cIJBFLV9XZYGf/xOPBwZCSY+IFMc2qjUDhqDclzwWdgY/nJ1RLBmFcIU5y+qOAOM7kGSWXAouRF9MdBrx2fZ65mo1p6vRGYXF90u3q2kaTPM+xTZ1XrrR59ZpM0hqMw0LIIs8FX70yh6oq1Eo2l1Zr6LrKQtPluC/38lrZpuzI88D1jQYCZglbcw25typAfxKCgDjVCcKEn75/NCO5Pzgc8/KlgL2OFI/sdiYcdac0azZJmnPzQZ9vPprGgRymHXanTP2EsS/XcunoodIdhqwvVri0VpNuRKbO5lIVRVHoDHymQYKuqTNCWxineH5Cu+bMxJ7LcyVsS5+lG6FIMWijarO5VOXB4RgUnist4VkIo7RwWdDPxMSe49lwLJ12zSZOZOqcH+UkmeA5NRAIAakQeH5CluXUyyZhnBWJPPKMf2dniKaCbeuoqkLdNdhYqp4Z3irKw7XgFGvzFd7b6jENEuoV2Yh9b6vHa9fmadZs+qMQpbivbEtnruFId3dFfu/HRRin3HowmO3v1zcaH0pqvrgio5DjJC+Sus6JCuf44uC0Rhx5EQ8Oxmi6QpbllGyDaZgg8pznbXMrihzg6LpGGCcstVx2OxMWWy5XNxrc3h0yEFKQZRga6wtl0kyKPDVN4eJy7anP125nMps2dPo+S+2HbtZX1mRKT54LrhVOfcNJhKo+mY73SWI8jUnSjFrZemaTslScAX5ViJOM8TTGtnSOutPZoMIPU3rj8EOb9H6Y4BfpQ8+z1uW5YO/Em318cDJlqV1mdb5MLqTze6tmn6cXfUxM/Jj4ExiaJYXjHCJHLZwrp75sUL94uc5xV56f5xoO33ulwhu3jtFVhZcuNtk99qSLv53yyqUW+ycelqXz9RcWeedelzjJCeKUwSQiLYQTW4cjfv2rK4BMy/SCmCBOyHIpztYUlTyHzmBKnglyYBqkvHmry/JciTwXJFmKHyQkqcDQFd642ZGGEMhUi++/toaiKJRsA11XZ0KNZtVmbb7McCKTCF7XVKZ+gqpK4pNTpAs0azZ390aEBYk9SnJubDaJk4yFRol2zWGvM0HTNF651J6tld1hwAsXWlxeq6GrqiRzF0SsuYYzSxQB2ZN7b6uHAFRV4+5+VyZ4qFKA3x+HKMj1V9b3KY5l4IfpLG3jva2eFKUUwlPbflj7H5x4swGW5ycMJuETxI5T7HUmMwOay6t1zHNh1RcSIy+apUoiYLfjsb5YYehFiBwsXWXsx4hcoCgyCTpJUsIkxzBUcmQarwAMTeOFzRppJtg5GhPFCVEikyX/44+3CcKY//DjHU4GU8I4R1UVdE3FNnWqZQut6KcttspcXK5y1PPpTyIqjkFnGBDGKSXL4LA/RVUgTlT8KOHCcoXbu2MOuz4nQ5+1+QpZluP5CbapMfES0ixHiXN0VWG+4bA4VyJOcrrDgCwTvHtfisrqFYuD/pT//jcv44cJeQ5BmJAkUryqaSr390fc2R3QG0dsH0349VeXqT3ikvv23e6sx3/U8zk4mZ5xOBNCkCSSlJFlojh/lMlzwb09md7drNkzQuN+x5v9vOEkYuInZ/r1Iy8izfLZ9Z1i4sdEcUqSCqZhQqtq03gsAXXoRTPHzNNZzfWNTzeR7Bzn+CLidJ29uFL70qVgtesyfbk/Drm7N+SlS+1P+5LO8SnicY7AXsd77rrvowigVFV5IvXbtQ0uLte4szvANnTm5x00TZVJX6rkIXzlapt2zWV9sfLEXB5g/8Rj5IWomsrW4QhNUTA0lQeHY2xTih2mfsw0TKWpVZZj6ppMO1dVllpWYQQpU6s1VUVBcgIWmiUm04ThOJRijzRjdaHE0EsoOzrNmoOuypndzpFHkuZ0+r5MMl2ocjLwORmFaMBhL6BWMmlUbHrDgPe3ekyCIg1ZkUJRAUySDM9PeP9Bj3bNpjsMGPsR7aqFaaqMvJQ/e3OfO9sDllsug3FYJIcZ5EIwmMQkSY6mqhwPNOplCyHgx+8csNB0ZdKgplKv2JRdWT9qmsJykXL+QclxO8cTgkjWev1xgGsZvH3nhOvrDS6t1p/7PjjHp4+37nbJczkrGHkR5bY0cPGjlCTNiTOZsmGNAo57PlGSY+gKWZ7LFA4EIpe9w7S4b6UDsmB9oYSq6pwMQ0oO6LpFmqXEcTpztc8yQRAJ8jxFa8JCy8HzMxxLo142mUxjhp7kMkjzU/ncLDQdLFNntNMjF0Img+aCH799wOpClcE4mvU9FQWO+wFfvTbP7tFkNpc4RZYLhpMQTVWfmaQBUHaMDzVJ/SAcdqekmayxVLTZa/Ao9h/pBwwnEePp05PDT3kgjYr9VDFKngsGkxBVVaiWLJlkqqlP/Vll12RzqcrJMJC9jEkkyY8f+S88xxcFw0mIW6R7NyoWS+0SRz0fXVP45ovzvHmry2ASUS+bxHFKlGbEsRRjGZpCkMhe3uN3+HE/IIxySo7s+Zm6xkLDZa/jsTxX5he3jgnClFzIucHd3T6Vkty3EOAFEVGcIhRoNWy+dm1hZmo4mcakaU6UZPhRQnccEEQZQggQglsPBrQK0dVP3zvmxmaTaZhg6Bq3twcc9Kb4oRQuLrdLs/p+4sdc22iweyyfzUurtUI0NkZTVa6sNvjjN3cYjCJMXeXC6iPGrQUf6s7uiDhJ2Viq8tq1ed642QHgmy8usNB0H5l5PMmNdW1jNjv/ypU5fvLuEULApbU67brD+1t9FBW+dn3hme9r2TX5uOzb2WzBNT5yquwnhfmmS38kk4wsUzuTYPRlhWVovHy5jR+mOJb2Kzca+yRQcQ0qrsH+yRTTUM8kVX9e4IfZE5+bhOGncCWfLBabnz++fp7ldAYBUZJTchL0L1lv51F8rJX6b/7Nv8m/+Bf/gh/84AfcvHmTf/yP//Hs39555x02Nzc/qev70uKg69EbhdimxoXl2jOJCJp29iY+VW26po5AFvO9YciWXwghFNhcrvLz2x38IGH7yJPOW6bGXiehZKt4gSYHMUIKQZJMcNj1qZZM5pou+12fWztDtg7koNUyNKI0Z65uSpKCodGbREyCmCDKMHUVgSBJcjmYVRUUBO9t9TjqeaiKVAWLHOIkp1oymW+WaFUlIbJWsRh4EWXHIEkENdckzFIqJXkAatdtNFWlZBt4QUyW51RLlnQZL1ArW3z16hwHJx6mcdalL88FB11PErFLJiIvoghFxp29Ibahsdgqzdwsq9fmSbMcQ1NJ0pwrq3WO+z6Nqo0Qsth91OXi9Henaf6RyGZrCxVyIWZqzJ3jMYNJxFzd4dJq7YmhsPHYvWJ+DhW5X0Y8OBzPYm8rrkyWmIYJJcdkrzPBsXRURWHkSevpXAAKaEi3vu0jjyyTA1zb0rm4WqNZsTnqeqSqwmFXDjddS6M7CmaE4v2OBwpFlLFBrWwxV5eCJdvS+erVeXY7HkLI1AxDl2vJeJqQ54KTgXQTD0K5BmQTwdALyTKBH6VMg5RvvbTEr31liSjJ+eFbB4DC4cCnNwxwTJ2RH9MdhGwuVQjilEbFYm2+ThgkMkFICFQUbFND1xSqJYMgPHUkNIjitHDe1Jmv24RJzu7xhGmQ4gUx/UlEdxhwe6fPYquEH6UsNl0cy+Cli3McdKa8e7+HoaukmaBWftjEOV1LDV3lxYst6WxqaGeU8SeDgK2D0ezrXrrUeuKwrWsf/P2nOF0vXn//aCbEStOcu3ujcxHH5wBJknNSCBYURWFzqSadjDYblG2jSHZIieKcimvyyuU2pqEVYgOL/ROP3Y5sRJqGxnga8Sc/22N1vsTPb3epuAaKovDT946plEz+x3//PlGaMfRCXrrYZnOphmGo6Jp05fSChCBKGUxCTENlNE14YbNJtSzTPBabLkmaYxrSwT9JBVmW8+79HlGc4YcJaZqTi5w0hf5YJlBUSgbtus3xICBOcybTGLvuoqiC3Y5MtTF1jVcut8gE3N8fkuWCvWPBYsvlsDtFVRRcWyf3E+I8KxxsBDe3e/z8VpdqyaQ/DlmeK7G5VOPCUpWNxQqtmoOiqmS5HGAMJxF7nQlbB2OEEMw1HNbmy1Rc84mm5sZSlcV2CVWRTr+nLsJeIY64/NiQYq7hslK4BMVpzvbRhO2jceHUpWGGKZoqXX+yTLqLjXzp/qGqMWn6sFgVQnDzQZ9pkHBvb0h/HOLaBke9KbqmUK9IscmNzeZTo5ZfuNAkijPpeqypBFHKu/d7M0fjiys1qiVzRv5aW6gw33RRFWZr0a99dYWXL0uXEtf+5Ro1fpjw3lZ/9vuvbTQpOwbbR2Mp2CmbrC9UvnTD8+fFYrtMZxAwGIfEqXSoTZJnO1QUfMQZBDK5Z+QnaIpACIXRJCIIM9mQs3Q0TcY639hsstQuEUQpQy/CsfQnBBwgm2mGoWLoGkmasXM0xrF03rnf44ULTVbny2iqOiOuXliusdQunfncx8FhdzqLIp8GCSfDgMXHxI6PwtA1rqx9/hpC5/hkMZ7GsxSmjaXqxxrCfZYx9CJJ7A4lkTuOc8I4QdM1lCx7LiGHokDZ0Zj4MduHI1AVHFu60X/rxSWSJOfte12Oi3TK1292WGq5xGnOYBLhhykvXGg+IdbTir1P/pIiHaSAY+lnCIq1skUYSweuR3sap8JGP0qfSnz8KDjqTWeJdpap8eLF1mfGbSZOMt6535sR2h9fKz/MbWs8jbm13Z+JcJ/2XjwOpXg/Tt04VVVBAVRN/Ugpgud4Esd9n+3DMSAHLS9e+vj3WaNis75QJUrk+S5JZW2rIOv8smti6rJmnPgRS60yiqpwMoqolS3yHBRFsHcylYmTisKdnQF3d4dkAqZeQFI8o0LIQb5aOP1HcUZ3EBBnOQoKJUdnY7FKLgRHvYzxNCxcc1XiNJsl+qZZTp7loKhFgm8EyP5id/jQXEHTFL73yjJxmqMqCmXH4PbuEERBRhcCXVdRFWjXHP7Wb1wiSXO6o4D/8MMtvEA61if3stnBR9cU5us2tqlhmirGI4KH02fILNKiWzWb9cWqNHgR8M49KdQ4Te6yTR0hIEmmktgSp5iGRmcYcHd3CMBgFPDetnTZtE2d5fbDM8n6QoXBKCJOJTll4RECmqY+/nw//f4YT2MOCne/JM3ZPhqfn2u+oDB0ZXaIzwsCgmPpfPXqHPf3R/hBgjaQ4gqRy/6PUCUZyTQ0LAN0S6XiGqwulLlxoYWC7A9HmSBPpXmKguBPfn7AySAgTXPpCpkJXNPAMjRqrsHETxlOIk76AT9++1Am4xyOCKJ89qwNvIBpkCAQ5EU67v0D2WssOTppZhElGd2hjx8kDMcRYZKytlDBtaUQe3O5SpoKbu9IgXZ/FHI88NFVlUbFIssEJ4OAo96U7jDg4GSKrsskoavrDX5x54RpmDLfcECAY+pnyE2P99qMxwRQWwfjmcmBU5gs6ZqKEILbuexTOqF0oL663njKc/vwd+2feLNk0dOfpanKbD/YP5mwd+xRK4yaXrs2z/pi9ak/62kfn+Mc5/hkcNqT/zKedRVF4fpmgx+9dcit7cG5iONLjif2He1Xu++0i5mipg5mnyuOP9imjqGrXP6AdJC373X5xe0ThBDEaYZtyP61QKZiPzgc0647pLkgTjL2OxMUVWW5XaLsGLx6ZY6RH3Nnb0gcZ6S5rCEQsH044fDER1XAixJsQ0dRpWhcV1UMTWNlroxrGwRhimlM6Y1iojjBNGSy6awGU8GPJck0TjOqZRM/TMkzQZYJojij4hpMggQFhahIOr29I1BVlVrJwAtSxn5MnOR0BrLOXGqVaNUdGhWLKM447E0puwZVx8IwFFo1C8c06A4DciH4o9d3KTkGc3WH1fkyNzbPzg4+DKe9Aj+K8cNUnkGzbNaXPcfnB0maM55GjKYRhq7gRykV1yiSug3yPGMwlvfb2A/IMpUcIXtEpyEcRfLLaY8xTQthdrPEcBJx2PUZTUJ0FcJEzjX9MJWkR0XuQ4oi40WjKKNRsbANlZ++f8xgEuFaOhdXapimzo2NBmma895WHxTJg8ozIXk2Ra9sru6S5hleEDPfcNFUhbm6S9kxuHHhrBg6zx/O3ECm9D16Fv8k8fhz9bRz/ZNr8JPP4tbBSBpiAdVSwLWNxpkZmhCCW9sDJr40/JsGySzJb6ldOiNgOcV805UE6XFILkSRGqSeJwB+CeGHMVv7Y/ZOJqiqiqLA//B71zkZBpRdk+NewO7xdGbMd2u7L+9HAdMgksKuD/jZWQ4/v9Nh6idouspCw+GgO0UIuLXdZzSNUVRQhXw27+4N2VyqA9KEcf9kSnwqEMkFl9frDCeS83d3b8jPbndASC6NinwWhJDXY1tne4Dv3u8x9mM0VaVRNQmijCjOsMwYECy1HpKXF1vS7DkXsid4YVlwZa2OrqtsHQwJw1SKSRQpvhK5IE5zbFPjeBAwmsgeaXcY8Hvf2eS1IsG3WXDznjbzeBourzVYnqvMDKgALq3Wz8zwPwo8PybLBdWS+aFz+JEXcWtnAMVs4cWLrScSun4VOBUsxEk248Wcg5lR+OcV+enzYskZRhinwOfLOKzxFAFo2/78CWoex25n/GlfwkfGL+50mAQJCEjTjPe3+3zr5eVP+7I+FXysVfof/IN/gK7r/OxnP+O3f/u3+bt/9+/O/u327dv87u/+7id2gV9GjLyIvWM5JAjCFF2bPLMJWXFNltolSWQ2NDYWq1zfaPDGzQ5CwMp8GaEoM/VplGTc2xvJIb8KipBDWT1TmIYZJcemXrFkzGGSEyc5WS44GfoIBa6s1XjrXo9pkBInGWku0HKBqatMg5Q8hyiSQ94oZ1Y4ZLmsBnM5waI/DhECBqOQcuGOb5oao2mEpilEUULJqeAFMa9cmqPqGvS9iMWmS6PqoCCoVSxWFyq0qhZhIp2462UL29LR9Sc3vwvLNdYXq08UVLudCcc9nzBO+Yt3PWplk+1DGbnq+QmrC/LQ1xuGrM5XzhzKxtOY3Y5HlufceveQZsWmVrG4tHJWZPE8B7mnwbUkWcMPE0kgLYZU3WHwhIjjtetzsiifxqzOlbm48uVrYH9esHv80H3xuDflZBgghBQkVcsmWSaYBjJC8PQQXykZdPo+uRCUbUlUHk5CpoF0i+tPIlbnSvzGq2tUXIN/80d3UIDOIGDkhdRXG6R5jq5KonCcSAHEySDA0BRKtk6aCfJc0BuGvHy5zdduLPCnb+7hhykr8yXu7g3IczFr7AkhUDUdP0rYbDgMJhFxkpFngrEvnT7DOGfnaEKS5Lx3v0d/LIkeQZji2jo+CgvNEpWSxXga4zomF1ZrvHGzQ16sGQoKFdegXXMYqBHTyAAlQ9NUNAUW2yUECl7htImQgjFvGmHoKrmQSvuDkymeH/ONFxYpOwa/950NdE2uOy9eaNKsOXQGU1RFZekRwoaqKkz8BD/0qVcsmXSSC/Y6E7JMRs0mac5BVxJCjvsytrZZtbmwXENVlecScDnWWXKWbX7+D4tfBtzZ7XPS90kzgVDg1navKFxU2g2XuYbLeBpj2hobS5Uz94KqKliGRsnWZwMWP0jJYZYAoyqgaxp7nQn/4YdbjKYRtqXjWgZbByNaNYeXL0mS/tpChffu95kGMRXXIC+EhccDn2rZojsMmG+46KpKZ+Bj6BoXlqp4QUIUy+d6Za7E3f0xIs1RFAiihFyAbqjomiRAlW2DqGxRr1pMg5SSrVFxDMolkySTzptLrTJRmuEHCYNJXKRcKKiKTAmQqRMq9bLFcBIzDRMsUyMXgk7fZ2OxSncUkmaCgRdzebWOqii8c69Lkub86O0DKo6JZWr4YcqrV+fRNGVG7F1slWZNYMuQxPTbO0OmQcJoGs2ameuLlTOk8XbNQUGSaA9Opgy9iLKtM5zG6AUxXtel+GPrYESrarPSLssBjmux8MjPCuNs1kzWdRn9LOOmVfw4wwhlQs8HrQ+KcnbtGIzDmauPENJR5PH4Z+spbr6flOv2YBKd+f29UYAXxLMGdBClOKbO/LmbxlPx3ZeXiJOMP3/rkMWmi8gFEz995vc9rYGqKqdkLwVVAzJFJlchiGNJCH3/gRT8WIbG1uF49t5tLlWplEyEEGdIwY2KzcZShZ++d0SaCyxTJ4hS+uPwqS76n4R7y+ONxnMB0DmehTwX3NkdzIQEt3cGsyb6FwWuZWAa0t0tSQWWpdEbyfX/eZM4TF3luB/gWDqDieC4H3J9tU5vFHAyDDB1KcBybAPLVBlPE3qjkLmGixBFPTAKnxAOXFqtc39vRJYL1hYqzxRxPW2dOE0OBeiPQ1640PrYQpxTsiZAFEu3y+dx4PtVYOTFMwEHgGmoWKZGEMlEs8cdTB/Faa8E5D1/KgL9MCiKwqXVGg8OZKN2c6l6Phj5hHDmPksyJtP4Y4uPXrzUpjcK6Y4CGhWbiR/RH4WAwknfY+InBGGCacga1TSMwklR7ufTQKbAVlxl1l+6uT2QKRRCIFQNeHjfKQgOe1IwOfJCsqI/p6kKuiZNVHIEtZJBpz8lyyFXZc8gCGVCr6IISo5BEOeUbYM4TemN5GsyniqzNDrL0Dju+3yjSKS7vd1n73hCGEtjl9X5CkMvxNQ1NpdqspbXVGxTYzyVQ0iAoXgYZz6cSCOLcnFu7wxkCm+S5szVHeoVi93OhKprztYkA5XD7pSxV9QXhnzuTs/7UZKhq5CoCrqmEIYPz2KHfX8mUFMUGE4j/DBBVRRevNgmywRDL2J5rsxS++FweG2xQpRkhHFKu7iupyHNzop3s6e4eJ7jiwHXNvna9Xl+fqvDYBRRK5lsH02wDI3d4wlZnpOmgiwHFSm4S7McVZHEhpJt8MKFJpqqoCgqb9/tcu9gxMQLIZdiD7VI9HNNHRSIUvmxpoCuyZp7GqfousJwEnH/YEycpKzMVchyGIwDdE1B1eQ5QNdVwiglyTKqrkGzanPUm0pH56bO/cMRIy9mdUGmbfTHEWvzFQxDpVq26A1DKq6JqioMvZAky6iXTUnqUGC+6RBECUEoE4P641CaNaUZb9w8xilqD1VRqFesGTniFJdWaxz2ZFrIy5fnnnBw7I4ertVhlMnaR4N7+yPu7Umi92k6d5blbC5Xubs3JE4yFlulM0ld3cHDnxWEKUGYUHZNSaDMBcNJjB+l2JaOpyR0+v4Z4litbLHQcukOA2xT/0sjlZ3jHF923JslcXw5n7Fr601+9NYhN7f7n/alnONTRtk1WZ4rcdz3MQ2NzU9h36lXzu59JUfHD9OZ8VB/HD61P/2gEGNNw5SRJ88WIz8mTTKW5kpkmTSjc0wNbyrPQI4hK6QkzXnxhRb/5ge3ybN8lnScZQLb0iRfoGox8WOyXBIuTUMr0rYESZrxi9sn/I1fv8hAjag4cs4RRBn1ilYQ0Q1SkXJwMAVFoVGxZD82g1/cPSFLc0bTmDCM6QxDsiwDFMZehG0ZxEmGZej4mkwXCUJRJJVIoypFUZivObQbLiVb5b/9bB+/mNG4ls6rVxa4tTtAURQuLFbxo5Qsl7VQdxSwPFfGMjUeHI7pj0NKtsGl1fpTezWrc2VuBQOW22W8qUzvaNYcKo7OL+6cyD7PfOUjpbOc4y8fYZySZUI67Bd988XiWauXLVpVmeowDVJcQ0NTIc0VcpEz9mIUVHJxmsAhZwpP0+1kOVimTODwfNmTiNOMIM4o2QZmMatWFPmfZWpYukqW5XRHIUkqCtd3aTAH4AUpc5Y0nOoGAbalFzWAyTSMCeOMkq1TK5v8+TtHaCo4hs7Qi7i63uDS2kOOS28UzEzEZG/koYmrTLr/5de9/jhkMo2plMxZz25lrkwQpvhRQqNi06o92QvaWDpbVzytx/loX2k8jYmLHsopoiRj4steSJJkHPX82fzyZBg8VcRximbVnok5HEt/ajLAOT6fGHkRw0lEyTGemAM/CkVReOd+l2nR35oW3JwoycFPmIYxb93p0BvHNKsGuWz3keeg6wppJji9HZ++PgjJBxQyHdSPMtLCLLFeMhlMIrI8Z6lZOkOMHk0jjFk6l0qaZsw33Fky9Vt3u8Rxhh+lNCs2rbpDmuUkWc7aQoXLq3Xevt9DUxVeudzmnfv9WV9tOAkZeQlJYbp8ebVGyTEI45S5uvPEmUNVlVkvN00FUZKTpBmaqmLpGrWK5Cg1axYHJ1O2D8bkQlBxTbwgeWI++lFmo9Jc8eHXP22G/zzYORpz1JOmwI2q9aGmML1ROBssn6b8ONanszY8L0fqHJ8feEHCg4MRB90ppqGha+qHmjN+FrF1mp78CI7CjMVP4Vo+SXjT4Nlf9BnDySM9WAHc33vyvfmy4GOtlIqi8Pf//t9/6r/9q3/1r36pCzqHbDo8ivg5HRDm6g6aqmAaGralc2GlhqIqiDxnrlGiZOs8OBgz8WOGk4ildokwzmjVHNoNh6EXEUQZ802Hq2t19joeQuTSjYGiINMVTF3jwZFHfxKhCEAoM1dtP8pIM4EXxLMBkqaq5EIObINYqvMBRC6HohkCrXDDVjXpDNiuORz3pmztj9g6nPDypRbff22N7311+YzrPUjH6aPelM4gZOLHeH6CYxs0qrZ0GVaePAg9TSXvB/JQO57GUjmY5LIwzqXT4CnpzSoaPydD6XDWqjt4RaHoh6lMGokzagI6/SdFFh8Hcw2ncEacImAmTHnaYce1Tf76dy/80r/zHH+5GHkRh11JXEqDnLv7I9zi/dw+mhTEfYX9E484yViek+7yZdcsXDEFZdfgwnKN9x70yXOoV2zqFZvvv7bKynyFNM0oOyYjL8QPJQF7PI1pV22mQYppqJRsWxKKC4HC8SDAMCSR3CoaMi9faoOAX9w5ASDLc2olEy+IGYyjmZPmXN3lxYttto8nhFFCJmRR0h2FpHmOQKrVh15IEMl1Lc/lmjffNJgGycyN56tX5/i//j9/ylzdpV7JCcOYv/K1dSxLJ01zyq6J6xhUHIPeOCRJcgxDlakDpsbqfIntQwGExGlOFCWEhsZJP0BTFZZaZbJM4AUJZcfke19ZIowzmlUbRZEk6STNubk94IXNJral0+n7PCjcV48HPlfW6uweT9jtTPCmCavz0iF1+2jCcBwynsa0ajZZJqiVrQ8laT2KG5sNxl5EZxDQqtm8dPHcRevzgJ3DCYqioOuSRH08CNg79igVjpTzDZcbF1qFyPDsnnRw4rFXODyeCqlQpMBy6IVEkXxewzhjc7mMa+tMC+J/mGSstEs0qzKWe6ldkvGdC2VMU2EwidE0dbZPQ9FYEDkPjsYIIc8Zu8cTvvniIooiGzcXVxrUazaeF/PWvS4okOd54X7j4Fg6C60SJddgMk3IsgzXNnBsgzwXBHGGY2rouoKm6QRBSpJmZDnUKiaGpuBHmYxPVyQp4jQKXNOkqGU8lb9bRZ5xPD9h53hSkDzkWWnqx+wfT7Btg+WWbPrcfDCYNYnH05gXL7Zmr/Vex2PixwRRItfgthTCHvd9FlslwoKsXnENTEO6leyfeHh+Qi5kYtiVtQZqcd5ybYOvXp1nea58Jgq+8kiT1tBlYkeeS+fVlbkK7bqNosiYVdc2ZoS158Hje7/1KxZ6PS4scyx9Jv45xWma0DmeRNk1+f3vXuDwxOPmTl+SMzXpevUYp++p0FR5hnYsFcc2UVVJWg7jHFUR1EsWSSowdFBQ2D32MDQVRQXb0GeD01s7fSxD3ksLTZeNJTnkyHNBfxQy9hK2j8fEccZwYnBh6S9v+LvcLsnnMkyplU3mPqQZfY5zgDQIeJT0mha12heJrN6q2bxxM2T7cISuqRx1A4K4iBJ/DijI2mA4Dhn7MaqiIAyVH759yA/fOZTrga5QduUelGWCaklhea6MYz5cK57mzlRxTb5yde6X+vv8RwjTCGlW8HFFHLapP/x5yq9+X/wwPH7mKzvmbL195vc+Zb99HjQqNo1rHz/Z5BxPh20+QhD4Je8zU1f57W+uA7IW/rd/em8m0PH8iAcHHpkQKEjiUZYV/ThDY+InxEmGrimYxiPu9FrRb0N+nWvlZEWiZa1szurY7tBHFGkAAKqis9h2yTJBd+iz2HJJMjA0hf44LATmCmmWsVIMK3VN5bDrYRTniDBO6I0CNFVlGiT4Qcrb97qoikJ/FMyez2mYkmb57PwRZw/Pi5ap89KlFnsdmZr7qEDGMM6SjwbjkKD4macpfxXHRJz2O4pzRJpl7J94s+8ruw/XGF1TyVEQuUwcMB/5Ha6jnzFf6QwCjvt7qIrCSxdbfO3GwlPfV8vQztQdH4Ra2aLkyP6HqipnjCPO8cXDjc0WrarDg8Mx9/aHsl80CemNAineUOR/pq7ihRlZms+SDaehNEkaTxNGXkinSNoIk7RI65H7iusYaJpK1TULJ0kF01TJckGranNlpcHJMGD/xCNNc6I446Tv44UJOdI0RWSCPM8xDZ3ltuw/rs5XqJZMaeAiZIrF2nyF/jBg53jKUstlru6w0HJBgG1oxd8Xsb5YwdQ1Fhol1heqDMYhi02X6xca/OitI/ZPPPrjkDhNCROVIEmply3WFysoikwl+uYLC2eISofdKYNxxIsXWigKXN94kqxgmxph0W983HxJ15SCrCn7k6qq4Fi67Hk+BbalzcxrThNTT3/HNFBmDpK6JlOI3KecYzYWq2ycizfOcY6/NAghZnPCiyv1T/diPiVc35Rr4a3tAUKIc1OMLzlW5ytPNWD5VeLRva83Cuj0HxJyPojsWHZNmSzux4WbtsorS22yPMc2deI0ozsMKJcMrqw1+ZM3d0mTHAVJZC+7ss6+vTvk0RZ7yTZoVS1UVcU2NMxi5lktmQRxhh/GiFymcCvA3/r+Zf5v/+NPpTieVIpV56qYpsr+TZ/JNAFFciRc22DghWRZjhfIax9MQhTEzJDPjxKSDHRV4cT3SXObds3htRvz7B5KU8hqyaRds+l7EWmaYZkWL1xscXN7iB8lGIZOJgTfe2WZ3igkilMeHI5nAo3T17Q3Cmfkp/E0Zv/EY/MpvYeya/LVq/O4lsGFxRpBnLDYLnHUD2YmEluHI+oV82O5g5/jk0dnUMylhRRKXVmrMw0Shl5MvWJhGho/efcIXVOkMEhTqFUthJ/gWBq9YURepOIo0l8VoT6Z+n0K29TQFWXWd7BMk3bdxjR0XFvH0lWOewEoMv3P1GX9Xi9ZeEEiRQhCCpaEkHycGxeavHypzZu3jnnnfq9II1XYXKpRL9uSRzAMGEwCDE0avJUdA8fUOOxOWVuo0BsFM1H2cd/n0mptNnODJ/tvHweDcThL6DzuSw5Ao2pj6OoTSSCP48PqioevrT6bW2qa8oTpq6GpaJpMP9Y09UzfyXkOsviF5dqXMpnsi4yJH8+SFEDO7j7IPC8IpeHL6exc11Xef9CfPSN/9NMH7HYkL8kPE0qOimXqIGRtnKsKcUHis8iJHhvxponkB8gems54KnlHaSaoVQwuLldIUyiXTOple7a+LDRKmIZGkgo0DcruWWGFF8R0C+OqOM7YXKywWBimWIaGaWp8t3BjH3kheZ4X4hOBaRsoSorIBYquUCvbH9qX641kGqgUMNqy5o9TDB3qVZPldpmVYuRxa3sgeyVAlGZkzzO8fU6kWU5n4KMqCvMN9yPNtI77/uz/B+Nolm7xNDw+W/gkDPnOcY5TBFHC+9t9wiibcZBOTZ0+L/jG1Tr/j8c+98ra0/v+nydEn0PDqJJjcDKURl4CmP8S80TOV+rPIOoVC8vUiAoH3edxMo6TjD9/+5DeOEDXVF69Oi+V9ElOlsnovDwTZLnAD+Tg1LV0Npeq7ByPadVs1hbLHHamRGnO3omHbelsLFaZ+ilJJtM4klzQHwfESYqpqaiqimVIEqmuKRiaQlw4+uXFgENTQVV1mjVLutgHCZoqmyUXV2pMAxk1tjLncn29yVw9ZOJHvHs/nLnx/dHruzQqFvWqjWXozDccwjiTkaIlc+a4fdyTjnlrC2Xu7AxJ0px62eTe/ohG1ZLuEkFCt3AeXWyVZgejRuHGoakKk9NmkaGxvljFsTQEkkyzvlhh+2hCpzgkHfd9LixXOVKKiFaYEVAeHzb/Mlhouiw0XU4GAb1xgGPqn3pD7hwfH/ljhN1GxZJpEbnAMjUUReWg65GkOa6jM57GrMyV5dCxJKiWTfqFM+6F5Srv3OuR5TmNiiQGH5x49EYhtqXRGwuCKCGMM/Y6E5oVi4srVRRVReSFICnLsUydxVaJZsViv+Nx2PV4b6vH1fUGtqXRqtsEoXSZ+/ZLS9zdHfC//Ld7TIME19L5xgsLrC1KVbyuSoJ2yTZYapXQNQ0FhXLJxDJ0okQgkIS7atngK5fniNOcNMtZbLkcdqVTaJzk6Brohk61bBIn8msWGi61skmlZCHI2dofc3t3SKtqsTJf4WfvH6OqCu26U7hXpJTsTKYVWQYTP6YZW8Rxys4o4M1bHZIsp1G12VyszorcNJWFlGMZ/PzOCUGUMt9w0FSVvWOPMMpolGVcYZzlrLUqjLxoFkt82pB53G3zw6CqKt955dOLB+sMfLrDQKY6LVU/VnrQlxGXVur89P3jGQm7XjJYW6gQRim2qfHSxRaHfZ/RNOJKUQCMipSHvc4Ex9YxdY0Ly3U2l6r87OYxd/aG+GFGs+5webVGEKW4lsn6QhXPT0gz6QKsKPDG+8dsLldnQqgkzdm0q7SqiYzWXqiQJBnjacSVtTp+JOO9vWKOMppG3D8YUS9bZELw0oUm//mnOxwPfFzbkOtTJvfKC8s1HhyNMQyV1BNcWqvjmBr/7c09esMAw1AJgoT5pkutbBEnOc6i3LN6o5Cyq9OoWNzZHTHxEyxdZezFCATXNprYpsZgHPLixRZ+lNIbBoRxhmPpZFl+piERpzkocnA7jVIyIWbPHUBvGHDYnWKZKpNpwt6xR28cEEQpXhCT5/KMZeqaPEu9c0hvJM9SX706z+ZyjZEXM/FjltouR32fJM359suLZ56N+YZLmuaMC5eeR89uuqZybaPBwYlHrWKh8lDkcErYe1pkoxCFi+pjDZxmVZ5FTt1Xlp7T2SDLi7jsX5Lk3Ko5xEnOyJO/f6HpEkQp3VFAlgl0TaX9CQhYv6jIspytgxH7vSl+mBaiLQVNkSTCZ5XWuYCyq0tBZvH9uQDHVKiWHZaaLqWSQZLKBmgQpkz8hDDKUJBkIyEEnp9g1WQpeNz3WZkvo2sqg3HIu1s9xtOILMvpj0NJnipumyyXTjunLvKfhLOGaWi8fKn9gYSD/jgkTXOaNft8TzoHINfVVs2WbkLAwkdsdn9WIYTg/v6IwSQiiBImfkK9YnNzu89wEhX9AQVNE2QfopU7NV/wgxRFU8mK5MwoyXjvfpc0kwLD1fkym8tVLizXyLKcxVaJdt1h4sdUXJNmzf5Qh69fBvWKNXPXV1WFqvvxo6M3l6syxTPJWGi4n0os+Aeh4ppcWK49rN8/xDXvcSw0XZI0l4mLZfMTMYfIshxVVc7JXR8DG0WqSZRkzNWdZ6aiPC80VWF9ocrQC1EUhZ/dFNIhMxcoAlRFLd4zQFEQyH1fKArVkkkY5ziWxl//3gb/7s8eEEQpV9frZFnO7Z0hlqXx0oU2kyAhSXMqrkWSSeMRQ1OZb9ocnHjESU6ranOUybOuECrtusvQCxE5rC2UmGu4TKYx1bIpHTmT08GwW4jPI5o1Cz9KcEL5HI79hEbVlkNRQyUrUj9VVUFXFbYORgRRSqNqs75YpVaxUSlSLeKseL0lCeGkqFEPe1O2DkZkmcDQVeYaD9+P3iiYrVu6pjHXcJgGCZaps7FYwTI1hJBpffvdKVSl8ctc42Fyxu+srfPGzQ7jaUzZNegXqYAAr7/fmYlZPgr8MOUn7x7K92etzo3NJmEsRfkfRo4Ko5Sd4wlZJlieK31iyXrn+NXitH5NUukmGUQpmqoSJalMz54rYekalpkwnESEcUZvFNKqOzI9Wy2cWpOsINcphHEiEy41KWbwo3SWqC2QZMFKyWJzqcpCyyVMUtyJTpJmgGAaSxHRctuVz1qcU3YtwjhjseVyYaXGq1fnSbKcLM9xbYPX3z9GU6BRdRhNIsqONDT4za+tyZ5amrM8V6I/DgjjlLJj0Bn4tAqhxwsXW3SHIa6t06jakpR0IsiRCWS6KkUXm8s1bFMjTnNOBsHMCfrUlRYkCe3mgz5HfR9T1/jmS4tUXZOraw3evN3h1vaQVs3iwnKVRtWmZOuszJXpjqQ47cWLrWfuhRdXajJROMtZapVm7+PpfmCaKqvzJeJU/vvl1fonfu+c4xzn+HAc9338UM4Wv6yO05dW62j/f/b+89eyNM/rBT/rWX5t74434U1mRlZmlq92VFcbhqbhDhqYK6GReMHc+QdAanULI96AhACNBPMCMUKARmruZRDNZfoC3dB0dZc3WekzfBzvtt9rL2/mxbPOjjiRkZmRkTaqzvdN1clzYp+1z17meb6/rxEKg4kMhHq4oegUp/g0ccwhD12Z6t8byTnkylx51oqlqoKvXlvkh28ecDT0EAI2DyaMpxGfvzJHEGVEcYrrx7RrFrWKwbPnmvzk+hFhnPLMuSauFxcp2oIozVByhUpJ55mzDS6vN9ntThmOZDp9/TjEbegRzhSqOYdDn97InwUV2aY0j6CAbWnESYZR7CWOQx1VoVC2ZSNAbxQwmIRESYqlC0zDoF7SGfkxrpegCoWFps3aYo1zSzU+d34O05DziP3eFEUoCKGQ5zmtus3CNGLnwCVNM25tDfH8mJeuzHPQn+LYOroqsE3Z9PXGnR6v3T7CDxIurTXQNXU2j8yynK2DCa4f06iYLHXKqELBMlWSPENRFJLkfvp68edgNI1kK5kCa/OVj2z/e4oPjr2j6WxgMJyEHA19NvbGMp3fDVHynKAIfFOE5BA6VRMlzxlOFCxDIyWHTMjWvUjOEyxTNtsf6/xEEVbh2DoIBV0TxHGKpuZM/ZjeSDbV1yomlqVi6iq2pVErmXQajhQjt2wmnsVu12NNE+iGys+/sMyZhSp/+pMdto9csixjOAnJ8xxdVaiVDMI4kRqEms14GpEX+om9nkeS5TSKdPwH4YcJl9cbbOxPePtuD8NQSbP8fY0U74UH9xsAYy+iWjJQP6J5xMU1GQyZZTnLc5V3zP1UVXB5rcHOkYsqBBdXG/THPqoqWPsAfOIpfnrgevGJgeHEi95VN1i2DdoP8JVOEbiYZTmKAns9fxbiqCigKiqKEMRJSr1sYtQtbu2MyHPJSSdJSncUggLPrNfxgoS9nott6fz8tQVUVa4/5xoOpqZws1domhydatlkNI3I85zzK1XWF6vsHMmwuctrclY+KDiFKErJi7Zd0xC06jZtoZAkGXNNZ2YwBMnzTYOY7UMXS1d5sdUmSU28QOBYOkKBP/7xFtMg4exSlatn7hs6ojjlTvH+QJofTUMtfq9Gq2ZzOPCY+jH1ssnZxSqmLp+nFcfANj+a52Ce57x1rz8LpxlPIy6tvXubBkgtSRClNArj3vFaRQjlkcHVx1hsl0gzeQ+vVx4/bPYUnwxm14GjszpXeermm0GYkqY5cdEoHETJ+/+jzxgG4Tv/5t2hx1zz6Q5cqpeevmv92vkOO12PNJUm/muXP1yI4NOMJ55u/97v/R7/6T/9J3Z3dwmC4MT3FEXhD//wDz/0wf2sQlMFz51r4foxZtGq8X7oFolaEinXNwd4QTxrbJh4EWMv4ubWgO6wSKJvO0RJxoXlOjc2h6iKiqapTPyYKM7I84Rr59ocDQLG05BRJlMfJl5MFKXYpo6hKzRrJY4GPmGUSFGAqRUpoXJAZdsaii5IUukUF4BhaJRtnavnWuwdTWnVpPC8UbXQdZV6yeQVq4uqKkyDGDKZuPXq7R5nF2tYpky484KErcMJvZFPVIhTF9olusMA148J9scc6hqX1hWZcqcobB+6MwF9GKczV/pCq4Spq5iGih+mxElKlucYuqBRtbi83pyZM0aF4ATke1RVwdWzLSbTiJX5Kn4QYxrqx5K21WnYp1WmPwWolU0qjsHEixBC4cXLc/THstbO0GWVblqk8TerNiVLZ22hwkHf42jg45g61SWZyvL67S7VkkmSppimyp2dEf1JwNiNsE2NqZ8QxbJVxzZht+fhOAbzDacwfkkiR9clKeAFEdMgYTAOCOOUNMtYnatwaVUOhiuOgaoqdEchuqay0DTRNEGcSgPKfLOEZWjsdF1Khka9YvDtV3fY3J+QpBnPnWvy+t0eUZJjGyrLnTJemFIrm/hhwk9uHNEom1w52+StOz0sQ+PK2Ubx90qolU2OBj6WqVLKMybTeFYZu9ByiGJJqHYaFm/cnuKFKWVLIyhEJrWyQRAmbBxMZkkE8u+usnc0pfGQMCKMUm5tDfHDhElBFC22ZR3qt17dYeRGmLrKr3xpjfWFCq/fiWhWLPn3tmQ6Sesp2RjJ6juZ0uoih/qnyR2PhyBKkDm1BQqiM0dF11V2jlzqxbm1eTCh7Bjc3BqSZdJgudedsr4gxQCVkoGuq9RKZmFoGLF7NEXTBGmWkeU5z5xr8aVnFvgXv/faTMR6fWPA119aoeoYswYqQxc8d74t67ALRnbrcMKVtQaNiollaHQHPrvdKf/1ext0GjZ/4RfO88O3DjB0lbmmw8QbUSmZWLrg0mqTWtnE1FTZPBUmRFHCxI3IcqhXpShz62BCmuWULJ1nz9a4tT2YCUvCKGWxXWav51FxdLYPXMZejKYKeiOfL11doFoy0TWVhqnNUo+FUGatREudEoNJSKfhzAyUeQ4/uXFAmuRYpky37Y8DDF1lY3/MUrvE4dBj53BKs2phmzplW6dWNjizVLu/lsoBUq5v9PnFF1eoV0xqZZMfvLmPWVRCvnz9iLX52qzdBGCpU2bpXfYUFcfg8vrJtB4/iNk4mMwGLg9i5Ibc2h6SpvmJloRjLLRKH0g8v7E/5vbWEE0TXLvQlk1lHwKL7dKJ1GDH0rl2vi2NRpZ2mtT1Htg6dOkOfQRS0JckKYqQzXW2pRQpt+9u/MtziKIMVRNMvJicHAWFXFWolUwqZZNKyaBeNrmzO5Jp25bGyI149myLrPha08TsniCEbNUDiFNJvOhF00zZ0YvrRZ7r24eTWbKb68XYpjYTFLqerAGvlowPZLaIooQ/fXWXwThgsV3mK88tFKl38tw9KOqB9/tTnj3Xfk9i8hQ/Ozi/UmeuKfOhyh/CAPBZQm8UzJ7pI1eGCsRJih/KEAZVKCRZ9p4GDpBrEbVIrsszyc8oIifPFZmIr4hZ4tOV9QZHAw/b1LBNjec+xLDzg2Cu4WBoKn6xNvgwddqaKj7T69Un3b8rinIigfzD4s07PfZ6UyqOwTNnmz81180nhY/rPBNC4fKZBpv7E4RyLNyRz+WMDF0T1EomQsDEj+iNilYLP+LCSo1r5+Xi8+UbhyiKgqFr9IYBQRRjmjqaIp/dtbKFKmRa/NWzDfJUpj7e3RsRJ3I9sH00oVaS4SslS8P1pRg8V6A3DugOfOJUhir8wgtLDN2IPIeKo/Pm3T56kUr/YJtwrWTgWLps/1QFYZzOnuMjN0SI+2sKy9KKBkIVQ1MZF/fBME5ZapdnRqbb28P7rXxhgjLySXseui5o1+dk+1+aUykZ9xt6kQE5c0VznmWo7HanMpDCkg2nx8My29T5xhfXSNKMMEr4vW/emb2fJx1Ife/1vRln+93xPo2qdcKYdWtrwMSLuXK2hf1AUt6t7eGsyeTmVswLlzqnhtanEPWKycp8mXt7Izo1G1XAzU2ZIqurck3fjXySLCdLM4Si4PoRZ5ertKoOcSKDFSZejCYU2Rqd5kDOQc/j2+EeZxYqHPU9amUD108wdIXf+NoZWnVHGqyqFmM3olay6I08yo7BcBKSZjm6moISk2cyJCHPcy6tNjizWGU0jRi7EZNphOfH+FGCqassz5f5wjMLlAqBiF5wa8ehSY6p06rZNComVUfn8npz1oyhKErRvGfj2DrNwkCloHBuucbR0Mf15GzC9UY4lkbJliFOxwbQIEq4szNEU+X18q2f7PJ/+toZhAL39sZoqsLIjfjjl7f5n37pAudX6timNFPON53HEiLqmsr5RxgzHnwe9Eb+rFU1eShw4hSnOMXHjzs78l66vlj5mX0+mroMyru5NeT6Rv/UxHGKRyKMU1wvki3an3DowXFr+GQa4wWJXNvmMrAljFOqZWnC/PkXljkaeWzuyZlCkuYsdMqQ5fz+t+8hhEJ3GDAYh+x0XerFGv9PX97lC88sYOqCkmNQUWSAzXKnxC+9JNsPF1plgjhh59DF9WO29ydkucDU1VkD2EHP47//cItO3SZOMsbTFAGYppyb6rpKnMh2VMtUqZZlA9qd3RH9kc/moYutq0SqIEe2noZpVojCc7JcthJcWm2wMl9mriFDGyxD5dWbyom9wV7Xo2RqxGnKaBDiWBpCwH7P5c17AwxN8JXnFmjXHXaOXF6+fkiW5/THIbe2R1w732ap4O33etNZarc0t0uhvOvHLDwgUGtVLXoTOZ9u1y029yYzI8j1YMCLl+c+gbPlFI+CqipQlIKiyAT9PIdqySDLc+I4o1IySNIU14tx84jvvhkSRTFpLhvvV9plBuMQy9RQ3IAgkuZyXQM1F2R5RsU2WOyUmPoJeZHMrwg58ZSmC/AK/ZBpqNQrJkGY0h8FlGydesVkoVlmdV7wq18sEaU5B70pmqpya3vEja0B3WFAGEu9gm2pbB+5HA58Lq03mG86PHuuxZ0dORMTQiHLZbPNjc0hqwvl2UwCRc7bKo6B60UEUUoQpbxSaAs+SIDKg6iWTPaLOUSSZGwfTjjoeZRsnSvrjQ9t5rAMjYur7y3WLj80R3wvPvF4FlP7CI0mp/hsoeLoJ2pzqqV3D/YwDJX/669c5k9/soOqKnzl2gLffe2Aw4GHoQvOL9c4HHhyViCg3bDIc9lWWXZ09roulaIlI4xSyrZKq2qhCIiSnNSLsC0dBbi9O2apU6ZTd9A1wZt3umwdyebfsRfzwsUOtbKJgsKdvbEM4EJBqNJ0cLyHnvoxAzfEMnUsE1DAsTSWOvIa1jVBvWxyNJTXvqbCxt6YIEjx1YS7uxOWOmU0IZ/9N7eHxIUWqD8KSNOc2zsj0iznynqDKM7YPhyjq7K5dPvAnbX6vnrriIpjMvVj0iznc5c6qKogTjLWF6ofmTYvSrKZgQMkN/pe2O9N2dyXYdY7R4Lzy1V2jzyyPGdlrvye176iKIWxR6NyOgf4TOFBLmnqx+iqYKnzdIUSlGyNim2QZTmqUGhWnz79qqW8k+evOk9/gNK1M++91vgsQtMEzYpFksl1ZpJ8dO1HTxueaLf+z//5P+cf/+N/zIULF7hy5QqGcXrT/6ihquJ9E9ZGbogfSkGzEAo5EEUparEAWmyV2GdKlkOzZnFjc8hed0qey2HHvd0xYZTONveNqommCpbaZUxTZTQJ2T6asDxXZjkvcXd3RBCnUBAocZriDSP5YNHkYidXFOIoQyDTHRUU3EDWvNumhhACVVOYb5RYbDqcW64SRQnjacTIjRh7Ic2KxXzT4erZJmM3miUAe2EKOYVwRXDQ9zjoe2RZxu3tIVM/wTAErhez03XZO5qSZTJpcrlTxqipjNxoZuDwgpg37niEUcragkySaFQtxtNoltyT5znNqsXZ5doJIrjk6ISjtPisCgG8JmYmj1Oc4v0ghMKVM40iYc8nijPWFypStG1qDMYBuiYYuiElSxIgdtGeY5sy+aVTt6VIvDAbQU6W5kRJSlIMXneOXCxDMJiEBFGCHyaUbI24EFakqUyE14r6XT+Icb2Yw77PNIjRNIEfpoDCQqtEydY56E2LVgppEpHtIYKRG7LYKmOZfXaPJkShdIW//PYhe10PVZXi9CzL+cLVeXYOp9iWxjPnWtzbHZHnBq4XM5wE9EsGKAprC1UW2iWaFYvBJKBsG+x1pyRpxtiLuL45RFcVbFPD0OVmKstyltol3r7XR9dU9KJ61PMT7uyOcYNkVg/ZHfpMvZgoSTm3VEfTFDpNmygqEvUdnaOhFLiDHIzUSgZXzzTZPpSJmGqRjHo09HnufJurZ5r0xwGX1htUSwaWoX1k7uksy9nvyZaSdt3+yDdd4UOilGM3/yneHxsHE1AUhJDPmChMcUyNPM/54VsH9McBV8+2aJRNBpOA7cMJfigFEKqAV28e8eYd2Xzz4qU2iy2HH799IBOcYtkMNQ1iqo7OYtvhtVtd3rrbY+tgQqtmo6mCkq0TJhmX1xuzzd/yXJk0y2dibZCfq2FoPH+pww/eOKA3lqm2YZSyfeCysTeaGSdKlsHZxRpzDZsrZ5r82lfOsN+b0h8HdIc+y50y9YrFeBoWQgyJ8TQGZYpamFm6o4CpF2OZKs2aRZLlzNVtNE2KuXRNIUkzRm7E/sBnqV2iO/RYbJd56fIci22ZfHn8LD6uhw/ChOsbA0bTkI29EeNphFDgF19cwbE0LLNEksoUD9ePEYqgWTVZX6xiaFJ8cZxcIoTCxJXV57qmMtewsU2Nq2dbDMbBrJEEIE1lw9GDJo7u0C/uG8b7EjpplnNrZ4QfJIzdCENTT5gijhN3QSYLtus2pSdcY/hBzA/fPJg1lIRRyq9+ef2JXuu9YOjqqWjlPXCcsP/qrSPiJGO/5+H5snKYFNSixlzVBEqYvWcjR5JmDCcylSpTclRFVofHSYplqlxabbDYLmHqglvbI5RcVorXHkhbKdsGG3tjsjyfGchAGkfnWw5qQe6WbZ3X73S5vTPk8nqT3tAvGqo0FlsleiMfXZPr73t70gRomSrPnm099vDgJ7e67B7J5+ydnRHtuj1Ln+mP7ocFBKEUs5+ut09xjJ828jl9oKlPU+V15QVyrZDnGUGYoRfX+3s192Q5TIMEVUheoeroqEIwmgYkCQgBQpHJi3f3J6RJJve3sUy4+qQMEfWKOUu+P8XHi839CT++fgjAkepjGiqfu/izm2bzWUPFMXj2nEyHu7LeYudI7ndNVcXUpWBHURQMVaDbgjDOKFsafpBwc2uIKuDuzoipn5BmUnCkoGBbOjkw8WLaDYcoSVlqlzi7VGP70KVethhNA/qjkDTPMTQV05AJ+QAHA5lwnwN+kHI49EjSjJKlM/FjfvkLUhT1+q2jIq0uoeLoLHdKHAw8FODyegM/TPGCmFrFYKVcZq87RVUVTF2+F5CNEyM3nPGg33p1lzBKiJOM2qFJ9SVjZjyaazhyfZ9m6Krg1ZtdDvoeJUejVbfojnzIpdjh6pnmrL3uwcS5lbkKX722RG/k0ahYTP2EJJX7n6kX87lLHXRNRRUy8XK3O0UoUmD+IPa60yIlU+HCav1dn0uu/0CiZy5NK8dCrT/8/gY/eltenz94c5+/9hvPYhRGjvABQ0yW5SRJ9jMrUn3asdQu8wsvrPDGnS6HA5/doylZJvegg3FArkCWZqSZbDasqILDnl80zqisL5TvN18j+Soll898vxAZxEmGrquUbB1DF1w5K+8rhwNPho8Ysonj2SI4yrE0VFU2bL9+p8fOoQvk3NgasbbQI0pko8/t7QGbBxPZ9KVrXFmrM98qEYQpzxW/I8syukOfPIckzTka+DQqFrqmntjHt+sWrh/NrkvL1AiKfaqpS1HhsUDjGFGcUrJ1FloldE3gBfLecCxkAPACeY0FSXaC+zjmNTRVvCM44RgjN+T2zogsy1ktTB6PgyhOub0zmi3Ibm+PuHbhkzHDnuIUp5A4NnGc+wwbuj8JXF5vcHNryNsbA37xxZVP+3BO8RmDHya8ebdHmsok7svrzVn4I0itwM3NIUGU0K7bHwsf8PDMafNgPAsAGrsRvVFAp2Fj6dpsjSyEgiEEjqOdWP/2JwETNySIMxRF8hvdkS9D3wy5n6k5Bn/mpZPXQsnSObNY5dVbR8XMQEMpUoM1TXA48OiNAtaL+etkGkkTSZ4zdmN+4fkFvvfmIZqq8PUvrGJoKlujCf1JQJxKjmbkxeiqbBp1bJ2DrkueSV5GL0LwdE2aR35y44gsy6k4BrWKwWHfpzv0ubk9YOrLddvIjQrj6kg2JmQyyMcDvvXqHn/xF8/jTuPZ3Nc2VZpVg89dbM842TCSs+IoSTENdba/KNs6fiD3jyM3olY2uLRaxzJk8E93eDj72x3PXJ+2hOifFpxbrnF3d0ySZCx2ZBjpYd9nsV3C9WIUHc6v1LixOUDXBSRyDqFpGnGUYBkaiqKwtlBBVRWpJSi0A1ku0FGIU2m0Hk5CLEOT7TaKQqNsMXQDwjjD0GSTxzE/8fa9PmGcyfmYULBNlSBKeP7iAqam8q9+/026I5/xJKRaMamVTMhzkiQnQ+5dojhDU+Vc8jjAYuLFpGlGo2JxZrGKKmQQTb1scXFV4PoywPbBUKkHMfGjR/0ZHwv1ismltQYTL2LkhrNAhZEb8q1Xd7FNjUbF4txy7VO/Hh4UdtumxjNnm59ZI8fRwGdjf4xQFM4uVz90wNzPEsqO8a681qMw13T4S798EZAi8YkXEiUyGPLFyx3cMGFrb8zyfIVzSxVubY1JC40POTPznq4J3FCaoxRFQRXyueT5MaomWGw5nFmskhQcxDd/si1nlAokSc7mwYRrxTWaZ/JYumPJMU5qNu0H9MUrc2WCMCGMMuoVgxcvz88aMmQTR06YpGiqwu3tgChKSfIMkSoMpwE/97llvDDBMTXeutfllZtdokS2DU+DeBY88cM399ntejJQF2jXLGxDZeInmLpgPA3RhGzemPoxSZLxGz93jiSVhsv3avLMspxb20NGrvycLq42yPKcoJhlPnht6qqYhfkC7zv3Pz5ekOayNIOrZ+8bvQbjgN3uFE1VWF+sYhn3NQsjN+TG5oA8l3rGZ8+2PlSQ1ik+Ojysv3qQ/31aULYNEDmjaYihqjQrT9+s9t7e9B3/bbs/4sJS6xE//fRgs/fO9/VZh2NqNKomWZajqwLT+Nm9Vz3RO/9f/9f/lb/6V/8qf+tv/a2P+nhO8ZjojXxub0uSUgiXi6t1TF0wmoSoqmB5rkyzakmXfFF71h/5VB0DP0rIcln7OZpGGLoqFx/ApbU6QzckCFN0TaVeNukOPdmUIQSOodBXAhSRy/RdS0OhqBS0dbIso+xoRKlM11PIMDUNoSrYloahqSTpfbFYEucoQiYB9yceSZoyGIV4YcJz5+TgwzE1xtOIw6GHaciKxrRY+KTFQmoaJJiGSrsQhOqF4zbNFIIwoTuc0qrbLHUcpn5MmKTsHE2plw3G04ibW8OZiKFVlwOjLMtlG4ohE9QfrLE6W1S7x0nGfNOZiTqfFINxwM3tIbap8ezZ5ix9+BQ/3VAUhZEbzoSL3SFcOSPd5o2qRaNq4QVyGFu29dkG4cH09TTLGU2jWbLlsfirWpItHwpyaJnDzNihKjplxyCKUxxTJY4FFUclTbOiwcfk+uZAGhQShYqtU7JlSs/WwYTNfZnCrSDQVUGYp8RxRr1kcGNrwHLb4e7OkGrZwNAEd/ueNIrkKpNpRHWuzLVzHZpVWafcqlj4jRg3kNd0kspqP8vU0FSFJJZmLE1V2O1OpaNXVchzyPOMJFWYeBGths2z51r4YUJ/HLB96LLUKTGchLi+TCzsNGz6o4BaSQdUdo+mrM6VGPsKOTnnluostspoqiDLcjb2x3SH/izoIEkznj3XnokzamVzRhYdJ4qWir8XyKFuECXYpvaeG7zHxdbBZJac0x36XDvf/kg3XLWyKcX8sayK/rhaf8ZeRBynJxKGnnYstUq8ohzNUizOLNVYXahwfWOAAggUukMPTcjzVShjWXPfcHj1Zg8USYxs7I95/U6Pu7tj2SgVpQRxiq4rWJlGkuYc9CSp36lLk8HYDVmZq7DQcqg4OkKImRnx+PyoV8xZauVcwyEIEwajkAsrdQ4HHntHU0q2JPxUVfDCxQ5/8INN4jhldb7MX/uNZzBNnShOCwF5SJplkMLyXIlr1RZptoPnxyRpzlJHCsjDKCMI4yJJM2XiR8RpxuW1Boap0ayYnFuusX3gEoQJmgrNqoFtarRqda6eeTT5mGY5YZTw4uU5zi5V+cPvb8pqWaSQ5XDg8cVnFopUY2l0O27bkuITVaZ4PCAeNTSBG0T4kUwDOr6flm3Z2PHc+RbXNwaAFIFs7o+ZeBHrC1X642A2PO4OfYTgXc/vOMkYjP1ZQxjI433QxPEwPsjtwwsi3rjTR1UFz51t4ofJzMABMt39FJ88+mOZsF8tmWztj4iSlIpjMPYj0iRHFQKhKicbfZDPHlGkwh0jy2UCd5LJgWUqMmxdg0JYJYRCs2LSaZTojeS1GsdyDXCMasl4pMjI0FW+em2Jo4GHoat8/409sixnMo347mu7rC1UyXKZpLXXnfLsuRbdYVAMC6VxLQhTxl702IR89BBh9eD56hQtIiAHuOapUegUP8Vo1SyOBh5ekDD2Iq6cabA0dVBVQW/oSXFArECu4Mfpu7s4CmQ56OQ0qyZ5DqYuOBh46JpCuybNGr1RQJxmpNMIXRW8fP0Q14u4eqY1M3k/iCCSqZmnhP8HR57n+GGCron3bKw6Xms9Tkr446I3vi+ITdLspKD8FJ8Kbm70ubs/4uxCjYsPpCxeWKvz1kafKE7RVZVG1WDqJ9L0YFgEYYKqpmiaiq6pRHGCogjZjpfK+0Keg6Yq5FkOAsqOLpMsUeiNAhZbJeoVk5KpYRo6cSoHgo6tsTZfwg9TTFOjVZPmhhy5T0mSHCEEQZTSHQYz4XVvHAIKjqWRZjn9ccByp4JQpIHIseT6YDCSARWOLVvbyrbOnV0pgNYKQcgxukMPTVXJsozBOKA/CWYmjlrZ5EdvHxInGTkZ3ZGPooAfpnzz5V1+vTArHw18FlqlRzbaCKFwcbXOxdU6aZrxo7cPH7guDNIiRUwIhS8+u8B+z0MonEhFC8KErQMpmsiynHu743cVcJ9fqfPjwqhRdnQWW/dF4m/f68/+/2ASsnkgEw0NXWWu4bBXBEpUSwam8e73jjTNCAvz/2dVvPGzjL2uK68HW+fLS1WGrs+tLRlIJAWIMggpLcR9WQ5HQ4+FlkNvHGDpKiudMr2xXxiPYinGREHTVEqWjm1pJGmGrqmszVcIwpSzy1X++OVtyOR1hqYWPJaBbem8cGmOOE55/XZPclaKgqLk3NkdoaqCOzsDjoYeXhBDDnpF0JsEXD4jBaC7vSmarvL2vQFBIRIrO7o0pWQ5XhjTqMg0y+O1/HzTYWWuIsWMScZeV6ZfLhRJ3Z26g+vJvbVpqFQeEJrWyjLgRhOCRsWUoRdJylzDZjyVorN6xWAwDlEU5bGE3Xd2RrOEt439Mc2q+Z7P6STNiGLZQP7gWixOf3ZT4k5xik8Ltwse7vzyRy86f5pweb3Jf/rTu1zf6L//D5/iZw6DcTAzOOa51BY8aOLYOpjMeLijgU+9Yr4vn+eHcv1iPUJck2U5QZTIcLVifd+q2RwO/JkRoF4xmfrvTL59/kKHV27JNvGlTolqEWA513RkOn+WUysbRYBjjqIoaELQHfo0qha2KQjijK+/tMK5lQY/fGufqZ9gGSqfvzJHnjMLZgujlEbVIoxTvCCZrVUGE5+VuQqKUAjDhOEkpFk1GQQJK3MVUODO7ohaySROUrJM7uGzNHsgLF3qMiqOjusfm1UFX35unqtnm7x9r09StK9NvIj5Vp1qyeStuz3qZYvJNGL30JUGXVUadP0wJk1lCjkwaz9s1WUTgTTH51RKJkmWE8Yxpi7DNe/tj2UQn67yTGHAXV+oYuoqN7cGOKbkXl0/5vkLsvmvWbXuC13r9qcuWP9ZhmPps9CHY1xclVqeetnklZtHjFwPU1ep2Bo7XU/OnASULY2VTgmnEBE3qxaNsokXJkymEaNpTJrLc0coUlQqFIXFtoMXpLMA2SzLSfMcDahWjJnZPEuljmY4DvDDCtWSgSoU3rrXZbfrEscpSSbnCM2qRadh08rl+TuchGRFs41jyRa/P/nJDnkOQgh2elMuBU3KjqBRNdE1MdNNPIjzK3X2+x7k0tRVLxl0hx71svVIXvP9cBw4k+X5zMTRHfkYmoplaPTHAbWy+bHNzh8XDxrf/TDB9eP3DQf+pHA8uzV1qTt5e6OHpqmoisKdnRGfv3Jq4vggOG6d+aCQ83KFWvHM3+lO+ZUijAXgcDilXbeI4pR6RfKN9/bGRdOPXjwXQQB5Lp8BhiFnkPWqhRAKYZziOAYV22AyjVEKfq9Tv/8Z65rCpOAvwlxy0kIo+EGMrqu8dHmesm3gBTGduj0LdAR573n11tHM8OAFEYpQEKk8nkbFplIyKNk6Qijs933CRCZfDcYBg3FAydLJ85yJH5MkKZYhgzXjROoc3CBBVxUW202G0xByGSanKpLLf3Cm+m44Gvoz/YXrxby90WNzf0IYSR3M155fIstz0oLvv3KmOeMZF9tljgYed3ZGVEoGV9YbJ3SCtqnNtA8oslkY5LHFScat7SHHh3h7e3TiedEbBbPvSS1mwJL5dLU9/LSiWbXY601nJuunUS91MPBwpzGOqSMUhds7I37hxdVP+7A+EC6svpPHb9hPnxnlYewXbeBPE56/2OHu3piRG7LQKnF57elrE4H7a6AHA40+KJ5o8t7tdvmVX/mVJ/qFp/hoMBjfr9Y6TmZfna/QrkkTQ5rmzDUcGhWTLJdixTTLeXtjQJpm6KrC2kKZME5RhUDXFLIcljolamWDoRvxbM1g4id0R4L+JKJWNjF0gV8IrUZTOeAMYykOTNMMoYCi5HiFaDzNQBMpKBpZBo2KxdHQZ3N/TBSn7BxNKFkatqlz1PfZ60pxshAKz5zJsU2NhXaJ3iSgYusYukbVMeiOfHqjgJ0jl1ZFLhSPa2Arts5Cu4wfpYShFFAfjXzKXZdrF9o8c7bJfm+KO41mZFUUp8RJxt3dEWGc0mnYKDBLAjjoyRTB49QuVSiszFVI04y7e2P8IKFVs56o5soLIv7L9zZmAyN3GvHV55ee5LQ4xVMI149PfD0tUiSO8V7inThJefNun/4oIMuhU7eoV0zmmyVGU5kSkWU5G3tDxtMIcsjyHEXAxZU6aZ5zY3MgHyZJigL0xyFZLocfUz+h7GjkuRR9CyGTOHRNkJMzdENWFyoYmqBZs3Asg4OeS38SEac5BwOPw8GU8TSSBhIichRaNYsfXT/khUsduiOfrYMJ9/bHMjUiz6mWZVJ4EKcYmmCvN+W1213adZtqyeDiWp0kyZl4MfWyNLoM3RBDE/RHAX6UMPEiLq83OOibhFFKb+xTsTTqVYe3oj62JYXuXhBTK1tcWXdoNxyuXWjPHqgb+2P2utOiUQDm6zbNmj0jZy6uNNg6mHDY9+X3m1IYfyxq64187uyMyHNJ/FxcrX9oI8eD50ueS3LmoxTRaarg2fMtJtMI01A/UvHYMd6615NJo7lsifj655+uBf274eJKnT8QOWECqgKXVmtUHANFkZ9Vs2Zxea1JmqVsFudWydJprluUHI3DYUYYRWiqQhjJn/FDSZpO/bgweykcDFJu7wwxNMFSu1SQKzGt+nECjDQXvH1vQE7OlfUm64vVGbErFIWSpTOYBIymAcNxVJgxQ+I0Q1UVVucq3I6HhalKikA0TXA08Lm7N6I79BhMAgxdxQsj3rrbZ7lTIU7lwlQoksCNlZx23eLMSpXkB1vyXhOm7PouWwcumibNJp26TXd0Fz9IqJdNqsXfbanz6CrQOMl4615PEimqwtUzTdYWK2w8kMRZLZvMNx2yXJpOV+YqM3FM2daJkoyKo58QZ4ymUTFoStGEXBO8drvLYqtEu27zxWcWWOqU2e9NeXujz6s3u7KJrBDaPAjXjx+56Z54Edc3BoRRwl53yvJcGVWIGfFyjPWFKje3pJluvuU89rWYZRl/8L2toqpdVsH/ypfWaNctusMARVEeKWQ7xcePrND0VByD8ysN3rg3II4zsjwjiDNUcWz8Oyn+edjUAXIgGKc5QhHkZNiGiq5rhFFKf+xza1sS4pYpyHLZoKd+gGGbNC5JEUR/JM0nIK+9y2sqYUEcZlnGXnfK+mK1aBWTg5l62eS584+fVHF5vcH2kUuSZDimxsXV+wKMc8t1tg8nJGnGYpG+e4pT/LRCUwXPnG3NhvGDccDEi1lsO3zjCyuM3JD//U/vcjTweYz5AXmOfIargrlmmZ3DCfPNMmmWsdByaFZNemMfP4wxdJXeyKdds3nlZpfBJHxHiuvukTtr+ppvOay/S6L1Kd6JLMt5e6OP68Uz8fijhqvdoT8TtTeqJhdXG8SJXA9+GFF2s2pRLRuM3QhVVTi7VP8Q7+YUHxYv3zjk//0fXycMU0xT5X/5n67x/AUZKjLXcDi/XGM8jaiXDLaOXLIcsjRHVeQePIxSaiXJvyVpjlAz2g1b8ldpSr3s0CjrbB56OKbKuaUqw0lUkMgp/+NH2/hRiqYKrpxp8LXnFwiilKVWicOBR5ZHlG2d58+3+NNX9siAlbZNrWzjhVKkrasKr97qAtLcNVf8fqFIQfkxP3c4mHDY92S7gKZwe6cYLipwabXOhdU642nEfLPEvd0Rr97qYpkqi60Sr9/pkedy7bR9MOHl60eULJ34ODRGF7JB1I+J0xxVMBtOg/wdj7P+UVXBzpHLjU1p1r5ypoEqFmbftwzZiPowsoduxMetv4/CM2dbtGo2XhCz3C7JwXeBSslgWohDFAX2+x79cYiqKlxea1Arm6RZRq1kviufEMYpb97pSaGXJrh6tvlIUd0pPh10hx7//YdbxEnOXs9FKDmHAx8vSEnTDFWT4SVpJgUOi60SWZ7TG/rc3h2RJjlri2UsU6U/DtFVOcgPowxNF1RtA1D45c+vMg1jTF3jzGKNva7LbtelN5QiK0NXieIURZHn/Z/9ynqR0iv4pZeW+P1vb6IqCtMwZurFfOuVHQ4HPpqAOE4LDi1hOI5m5//Uj9k+kOaUetlk6IY0KiZfe36JN+/2ePNuj2+/ukvZNvj81Q5hlFMtGSeehQ83ZHQaNo6lEcUplZIx4+hcL5oFztiWxi9/cY3b2wO+98Y+hwOf/+2/3WRlrkS7Jltrzy3VWH2MtcqJazk/aZ5/GFM/5u2NPmkqBWfVkgyHAmme+8mNQxZapRPhO6c4xSk+PsyaOJbrn+6BfMq4si4FDnd2RkRxetqSe4oTeNgE/PDXD69h349ruLc35rAIGVtolVjulGZ71TTLeftef2aIuLQmm+pLRTiSFySzVmvJj6fUygatmhR7Ls+VqZUN4iSbGTgAoihhc3+MFyScW65zYbWB64fUyhZhlPDqza5s+J6GtOs23/zJHq/d6aOrgoqjc3tnxF7XY2W+zAsX5/j979wjKgLvSpZahMBFs2az29sjOS+ZRtiWx1K7JBPKs4yhG5LnOYoicEyV8TQiilNsS6NsazQrNuWSxn7Pxy3M+I2yydpilYVmiTfuyGb1KMlYLeYCqlCkUdXWCcMEQ1OplnRprkWaWMu2zspcma2DEYoiePHsXPF5CT5/ZYHe2Gf30OWVG11ubg64vN6k7BjYhjT3hnGKZWhMAyn0FkJhqVPmcODNxLFpMdvRNYPzKzXaro2i8JkRhp/iPhpVCz9K2D2akueK5NRtjYOeLzVCSYapq6wuVMjSnKmf4EUxb93tYRoybHXiJ2RZhiJAEQpuEJFmstUdZJip60dcXm8ymYZsHU5oVqUBa+iGpGkKiiIDnaIU1wsZTAL+5OUdfnz9kJ1CQFgrGRiGWrR5q7x0qc35lQaqqnBjc0ia5lTLBs+cbfHNl3dm77Fi6VxYrVItWdTK7y6oPLtUo+LovHa7x8gN+f/8l+tUSwbLnTK//pUzT2TkAFhqlxhPI/wgwTH1E83gSZZ96s9bU1fxCx6BIrTus4AoTnnzbo+oCBRLs4yNvQmaqrA6X0WIz8Zx/iyg07Bn+1VVVZhvntyjzjdK9IYBuqbSqJrYXRncnBdBcUd9D794PtiWxgsX5xhMAhxTo123+P6b+/SGAUudEmeWytzZlXoYx9L4+udXOOj7MmBKBT9IilaPdPbMiRKpPbCM+xyiaWonTINxmuGHCd2hhyJUbF1nqSNND7om+NzFzon1xTdf3mYylc9zUxe0ahZ73SkZOWcWqrx1t8/QDVEUmG/a0liRZYVpQmG1U2YaJFKnpSi8cvOIPEe2Va013pWTe3gtdWNzgB/I+Y4XTHjl5qHkGQqtyIWV+oxnHLkh/+GPbzHxYtmkPglY7FSYTCMqJYPV+QpqYZhp123CKOWte32yLKfTcE6s245nSsd4WHdwyhN+dmCZGtfOt2VLrqk9lYFpaZqjqoKSLZ+z78WlfVZhmO9c45r60/dZPIz3a236LMILIo4GPl6YIBRl1gz1NOFR+rUn0Vo+0Rn47LPPsrW1xVe/+tUn+een+AjgWBr9sRTr/fjtQ2lYiBJW5isyvbq4MF1PpvhrVYtGxeS5cy22DlxUAe16iamfEMYpEy/h6tkmd3bGvL3RRwiKhZtMrr5ypsFBb0qcCEq2Tr0sBy5DNySK0pl5I4pzdroeWQ6qkAu9IMlpOSpVR+PyeoMvPzvPd17bY+xFiFBh7EZUbJ0cRTpf44ztQ5e3N/rMNxy2DyeoqoIqBJqmoOtitshYbpexbY3f/Lmz3NufYOiCLzyzABn8/nfucnNzwNnFGu16ick04tb2gGfPtTmzVCNOs5kZZq7psLk/ZvdIplt0Bx7VsnFikOOF70wG2T506RfCtu1DF8fST6R6Pw56o3Bm4AA4HPjv8dOn+GlDvWzOziFJiD2+u/No6DOZRlLQmOXsdl3u7Y2Za0xpNyzmGg7jaUSayxTvYxGDF2SUHUMmM5QMDE1lt+tKI1K7xNHA48b2ED+UJpBnzrYQQuHXv3oG29LY7bp4QcJi2+HcUp2NgzGDcUh3KGsMHUvD1AUlU6M7CmabmjSHTk0KECDnxsaAgRuQZTk7s/QcmExDKpaOqavs9z2CKJGp3m7EV64toCAFn5pQ+MFbB1zf6LHf96mVDHa6LmVLZxqk2JbKl55ZYH2xRsXR+IPvbzGZRpxfqWKZGnGSsb5Y4cxCFUNXuXJGJqAeDXx0TTCeRmiqYKlTYjAO6DQdrp69L0rVNMGvffkMmwcT9rtTRm7EG3d7PHe+jamrBYEmf/a4DeThtISRG7LbdWlUrMca8taLBEOQQr/3q1l8EmiqeEeayUeJ12/3ZmmFO4cuvZH/VDrMH8bdgzEgULUcFIUbW0N+6fNrnFupMZnG1MsGK3Mlvvf6vhx0FElLWZZz9UyTrQNXEn+aSphk5MjnaJrlNCom1863ePten8k0QVUFbpgw9SP8OOPa+TbVkklvGNCo+Hzv9T2GbiTTJaYRK8Umv1GxGIwD/u1/u87IDemPQlpVi+7IZ7lVot1wcCyN/d6U779xgGVoWIbG3d0Rv/tfb6DpgkbZnCUzzVka2wced7ZH5OwRJRlLrTL9sY+uq6zNV5l4MVt70rCZpBnksi4ZQBOCetni5RuHVBwTqzAOVcpStHhMPEZxytANsU2NimPQG/kEoSQj0jRnrzvla9eWGbsRO0dTFlsOV9fr9McyaVhpK6RZzmAcoAplluL7MPIsZ+RKU4vrx/TGAX6QcGd3RNnWsUwNp6hT3+96JGmGKhTu7Y34wtWFWeIPiry3Pwp7RZuQrqlyE5UrNGsW6wsnjRXVksFLl+eK5KHHF997QTIzcIBM3tY1wXPn2rx+u4thqFw913yPVzjFx4VmzeJo6OF6MSXH4P/+F5/jP3/7Hjc2UxwTojTF9d65BsyRz8+HkaY5uZDPTXKFkiWF2jtHLrqmogrBfj9mvuGQCUVWnT/Bcc+3ZfpvXpi9K2WD7igohqo5aZYXaeECVRUkxZDodiEeKFk651fq72m+6DQc/sIvnGc8DWlWzBPCRl0TnH2MBN2PE8NJSJxkNKrmEycnnOIUjwshFCxTo9OQz0cF2ZBz0Pcp2bJN71gw8TiIU2nkqjo6t6MERVGoOjpDN8I0pKizZOnMNR3qZWM23DwanPwdeZ7PBrAgTYLLnfLpNfGYGLnh/cawLGf3aPpIIcTOkTtbJw/GIW/f6zOeRiiKTBd8XAJ25Ibs9aZoqmBtvsLKXIU8l+LTdt1mvum8/4uc4mPD//iR3JfmOURJyn//4ebMxHFMUFuGRpxm1Eo6h8MATREM3XBmzEpS2O9P5RA2V+jUbcIkxfdTSrZGjpg14B70ZeqtH0lB0OHQI04yVFWwfaCy3KmgqSpemLDcqbAyJxsofu9PblMrGRS5nCx1SsRpTsnUqJRNJp58DyVTY6lTZjKNqFcMSpbB9uEERVGwDEGUpOR5Thhl7HdlyIMQCq4XoSiyYfOo7/Gnr+6xfThBVwXnVmostsrEidz7vHa7i66qDEVAd+gz3yohULBMlShJCYIUVROcW65hGippmrMyV34sUUWUZLheRKPg8sauDKF4lNgjy3K2Did4fkKjKtM3jwayCWR14b2N0u923f3mz5/jv35vkyBKOL9axyhM5mmas9ebcnH1/ZOnDvvyMwU5MDga+KfG7c8QDvrSfLm5N+JwKAdSSZJSsU3QckQkqDhSrCCEghclkOUEccZwHKAKgTeN6Q4DNAFZKoejc00H29Ro1iy+/tIKL16a49uv73Jra8RPbhxyeb3Bne0RSZpRL5vyeSKYcZD/4Y9uohsaQlF45myDb3xhhe+/cUAQJ+wcuXhhQp7nZEIUYgwd21RZna+goHA48MhzmUzbrFjkeU6ravHzLy4RxbkMPEHB9WLiJGdjdwKKvG4NTWWvO6VaMhhMpBjSsXQmXjTb9z/Mdx2nFMZJyu62i+vJsJrjAetwEiAUmcZpm4/Pa63NV7m7Jw2UCy3nPQVQ+8UxgEznnGs4rM5X2Dty+e6b+5DD63d6fP3zqyw/QdDTKU5xisfHcBLSHwcoCpxZ+tk2l883nZmR7ubW8B2J7af42UarJgV/QzekbOssPCTiXJ6r4Pr9mZD63ThtkKFyx3zE4cDjxtaA5U4Zx9Ro1W3Kts5oEjINZFDEXtelWpI89PGc4Rifu9ghzXK8IOZw6NGsWBi6+g7e3o9S3rjbp+yYJKmcw3/tWgWlaA4o2zpZlsuZWQ5BGOOHMYxy5lslto88JtOYIJStAlGc8sLFNjc2B2wdumwfynWaqkKc5AzGPjkKcZJiGxqOqTJyQ1RVMHJD/DDFNgWWqTAYB1iGSqdhMXEjDF2jWbdZnStzNJDBe4Ym6DRtVucrbB1MWGiVKVkGr72+x+2tIdfOt/jSswsMJyFnFytydqbA2eUGzYrFG3d7LLQcfvkLq2zujQnjDF3jfqilozN0A65vDNg8GFO2jFlR2OcuzjGK00KkKtPEjYfaxqplk+v3BqRZRqdhz15XUZQPrHU4xSeDPM+5uzviT1/ZRSj3Z/+aEKzOl6lYGnGakqawPF/h1vaIOEnldRCl+KHUBSmKUrS/K2SZ/Pk8h5gcdRowDWzSNGfshuz3pkRRytHQx9SFDJ1SFATgWAarc2UMTeX1Wz0y5LyiXbMZuxFxmlExDPxClHdre0ylZPHc+Rbf+GJ11oIJ8EsvrPCfv3ePLMv40jMLrC2890wgTTMGk5AgyihZOm/f65NmMgBStlxOOLdcozv0+NYre4RRytWzDa4V/Mt7QddUrp1vz2Yfb9/rFzyKws7hhK39CdWSFHY/OL/rDn26Qx+zMFB9XC2ZZ5dqbOyPieOM+ZbzmREAP2gMO24LadYs+qOA8TTk86vzn+bh/UzBsXR+7nNL7Pc8bFNjse3wys0uRwOPdl0Gs8qw0Bih2GwdurLFAjkXOP4cAcIwYbFTwjTkXn6/O+XNO/3Zz6pCoVW1yIp9/R/9aJuFltwPJ5m8bo7buPI8Jyj0R1GS8ua9PmM3YupH5Bn0xwHVkiHDG0yVH799yL29EYoCZxdrXFyps9SSbR2mpvJHP9xitztlse3w9ZdW+Hd/dIs4kQFW18538AKplYySVDYI5TkiVxi7IVnRMJIkOYNxyJefXSTLclRVkbrA4oE6ciMm3skQ3gfRadh0Rz5+kGDoglrJZDQZE6c5pq6x3/VwbI00laaRpXZpJuzd2B9JfVUig7dfvnGEqspntR/KNrEHgy9++NY+o0L/kWZZ0WIiNYwP844LrRJxmjH1Y+oV86kUdv80w9BVmp8RA96TYHW+wkKrxN3dEYam8uKluU/7kD4wtg967/hvhxOfcvnp1q3FydNngPjBW9LspqkKQZzyw7cO+c1feLp41Ufp186v1D/w6zzRiu63fuu3+Jt/82/yzDPP8Nxzzz3JS5ziQ2KxXQIFfvDGAd1RgBDQHcohzNWzLVAU7u6OOCoMAeWBx2gS8M2XdwiiFMsUXFlv8Ju/eB7b0Hjl5hGKovBfvnuPsRvihQlhlGIbgqkQHPR9FEVQcQzaNRVFKCh9j4qjM0hSckSx8JAbyCwHUrm2EeRSPK4KKiUD09CYhglTLybPpDhraa7EcCpTwINApm+kac7Yixh7Eb2RT6dmUymZJ0gmTRPMNRyWO2WunD1JTv7Pv3qZb726y90ikQdAeUC+dmGlPhseVxyD77y6y/ahSxglDNyQq+tNJn7MUrvExIsZT0OmfszF1cZskRY+5GiNkpNfPw5aNRNNEzMjx6ddwXiKTxbtuo2mHjdCmB/IjRfHGRv7k1md38iNaNdt7u2N+MFb+1xZa6AIQbVkYuiq3Jgoitz0XD/AsWSzzTNnW9S2DColAxTY6boI5AM+TXO2D1xy4LkDl6OBx3ASEsaSxNRUQZbmRLFM7Dd0eZ1HScZCuySJGaEwDSQxlOcwnERM/UQSPUKgqQquF6IKQVbcQ3JFoVY2OBh4mLps8vHCmIOBx053iusnLDRlIvfhICBOUvZ6U7YOMkq2jq6rGJoohCMa880Ov/nzZ3GDBFtXub4xYOxFqEKhVNJZaZURisJbd/uz+ug0y1CFoGTp1Eomz55ro2uC7tDje6/vk6Q5z19sE0b3r/s0zXG9CLNmo6on5bIPp4CO3JD/4zv35LWvwNeuLXHuferflztlLEMljNMZsf20wdDU+3+zz1BCyIdFf+DPhNZ5Bgc9n429MRt7Y1RVtsRkmayrBEm0W4aGEIJO3eHMYkU2ZSDTpZY7ZZQcVE1ADmsLNf7klV3caYyqyevmK88ukubS6JEkGVuHE+I047XbPbJcnr9BVKR7Fgkn3319j+1DWWV80PfQNQVdVUnzfDYkMQ0NQ5fkYhgn9McBg0kojz2HsiPrR1s1i++9sU+SyuSZKM6Ya1hoqkDTBLapMZhIsdl8yyGKMhrVjEbF5OxSjTzP6Y19NvbHbB6MC1JGw1CVEwaO1+/0Zs/Is0u1dwhGj7/+s189C8D1jT739qTQtF8NuLBSn6WAgXzOPkoUrmmyUro38tFUQeVYNJLLxI+DvTEHfY/d7lQSSY5epBMlqEI6qo/TMd6t3vbBYy87BhdX6+8qLrlPpD8+HEuj7OgzoWirKlOR9/sezcIstX0wmVWnn+KTw/E5EiUZuioQQhqUk2/eliZiN/1ASRXHjXcKoKqyijconpV+kNBpOHJIoCiIQnj1JG1Q55ca1MsWaZpRsg2unW9TK1kMJgGeL5uwmjV7ZuoAmVTXHfqULJ3xNGLnyH1kgvWDcCxtlsb3WcLWwYS97hSA/Z7GM+daH6jV5BSneBJEccrhwMc2NY4GHhXH4ObWgHt7MnnymAh6PxiawLE0DF3DMFQcWyeKMnJFYepF7PdyRoVBYH2xShhnDCZy8PLs+ZOGP0Up7lmFwFxRnuye8rOKh4e2D+8TZv/9gftLFKd0hz6Grkrx7/74sYYtUZxyY3MwM5MnacaV9SZnFquM3PAdyaun+OShCoU4zWbmX6Gc/NwdS8fQZFvXa7d7uEGMKEJPTEMnzTI0oaCrAlPXUIQMQtCFimIp0uiZZziW/KyPhj5BJI0UaZqRZtJSnecw8RPS7Lh9T5PHU5yHk2nEeHp/MPiNL65iWQa2rvL737nHpEifrzgGv/DCEqNpRL1scnN7QMnSURSFJJNNMmkGKrB5MJmtd4Io4aXLcoB/Z3fE9Xt9lOJ3v31vwF/8hXOEcYrnxxz0vWItA5au4UdJsY8WVB0Ty5DNIn4Q87mL7y/IeBACuQ9wFLn2V1Vpfn0Udo5cDnpSuDbxIi6tNVjulFHFk7flNGs2//OvXQbksPrW1nD2vcc1yr2De3iXe8wpPh3MN21cP2JvMMUPUskdZzlTPyRToGSrdJolwkC2yBq6Sn8SkCQZo0QGPfSnAVGS4xia5KJzKdqLk5x62UBVBf/jx9u8dqtL2dFJ0oyf3DiiN/JnXL1paEVoQcJgHJBkOatzZRbaZd68O2B9ocKVM02+/6bku45FFrapUrZtXrjcQddUamXJH+ZuRK1s4PoRb97rygTPisXhIKBZMWfXkVwzSP4/zvLZPU9VZXtgbxTIQKWhL+cdwLnlGu36SX78+HrY7U4Jo5SKk+D68ew4hSJOcGQPX5NpmnE09Iu2YXv2/U7DplE1yfP8RFPno/AoLqJk61KgdLyXy+W94tTEcYpTfLw4buFYapdnouOfVSiKwjPnmnz71T3evNs7NXGc4h1Y6pRZepfnUtnWeeHSHEmave+c5pirHrkhRwMfTVPYPXIRQkFRFLoDn42C4wfel+fbOZrw7Vf2pOG0avKrX1zDfCglWkWuGfL8WOgtW6sX27K5bDyNmG851MoaB4MAUBhPY1pVW+5HkpTxNMSxdG5tDegOTHRdZftwQm8s5zRZIeqM04wkycjyHE0oeCRUMx1N12QQZZ4TJ/J3uF5MkuYoioKmCJ670CIIU37phRVeuX0EyPnm1E8IwozxVAZKJumk2OfLOcTQjfh+YQTd73uMpxFzDYt2zebKmSa/8qU1LFNjMA64uzehbMuZw8vXDzhXNDgOJiHTICKOc0Ih57Bv3OkhhODzV+Y46HuEUUKaGu/4TLI0Q1OLxRr3lzOn+GxiMAn4/uv7vHKrSxAmmIbKQsvB0FUUXSWIUq5vDcky2TY3KBL4J0FMnKQkaTbT8GiKQrmkE6c5np+Rks8+/yBK2e26mLpGfxzOwsziJCeIYjRVYJs6lqViG5oMnQukKFsoUlsghMJc00EIZjP3nPtJ8VGc4VgnebBGzeQXX1wmzzJadYc8z4mSDM+PcWz9xD1KNt4OmPrxLATuOIjh+CWN4uvvvb4/Cz575WaXlbnKYxu+VaFgmxqfu9ghTjM29sYMJ/J6ltdfMAspnPrxbH3CVAbxtusOtqXPjuWjgq4JLjyBMPDjxoP7pePPtlWzqZdN1hYqzJ2GynyiaNXs2fnZGwXc2Rkw8RImU6kFfPVmlzTL2Tp0GU1C0oL3nyYpScZsTx8mGX/2K+u4gWzn/X/9u5dnvyPLIQwSslxe47kfMw1iBhMZDJfnOcvtMrWSDEhzbJ3N/cksSDnNMvYLnm3r0KVe0clQoDBYbh24BY+hsK25/MoX1xkXAbejacDt3TEU4RK1ssX/4y89z0HP5dqFDm/c6VEW8rm5250Qp+nsPpJlClme4wcJmqrQrBhcXm8w9WOqZZOt/cmJwETtPXg2TRU8d641m/3e3Orz5t0+SZIhSgo5MtAJYOiqvPCA2N02ZJhFUqyd6uWTOrGHxdj7PW92D7Jdjd/4uQ5BJINoyg8FYQihnDapn+JjQ5blXFit06pa6Lqg7Hz0wcMfN9JHmB3apadfq3tsUHuakGYZA1fq0IQSYzyFs41306994Nd5kn/027/92wyHQ/7yX/7LtNtt6vX6ie8risJ//I//8YkO6BSPB0VRWGqXKdmy+lAm28m2iDjJiJOU3uh+c4Trxfz4+iEjNyLLM8JYsNf3OOdF/PGPt8lzWJkrEycZiiIruZI0L0wKOUdDj7JtSvGGqvDVa4sc9jymQUzJlkQEyn0HLcDxLS/NYOKGbB/AKzePWJ+v0KgYbB9MCCYJ9YrJr35lnRyFW1tDbEPj6y+tcjDwpPjbj7m7M2bvyKVWtmhUDUqmgWVKoeJ7pde/cLHNW3d79EY+6wtVLq3V2TqYcND3MHWV8yu1mWheVRVQZLKHgmz8WKtU0DRBnufYpk6a5mzsjbl2oQ1IR+vIDclzKURuVD64g9WxDH71S2vc2hriWNopyfoziHrFfKxUk1vbA/Z7HgtNhwurDTRVoeLoTP0Y3dKY+DGTacTBQA4PB25ItSw3HV4gU+VtXWN9scLe0RRF5OiqKge3CxX6o4Cb25LgiZKMvBiEplnGcBLwH//kFkmWk+dwflkKvXJymgUhCpLrO79cY32xxqBI7p76MZoayYrVLCdKEpJUxTIEaZwSRhlhlJKmCYpQaFYsOg2bLMsp23L4nKQyKTSKUzShcmNzwO3tIXFBMo6nKV4gjSFRIgmluYbD0cDnj1/epuzonFuuU3UMwjjF9WOmfowfptx+bZdO3cHQhXTvGxpZljOchJQdnZKlc/Vsc5Yi/s2f7OIVYvBvv7rLl59dmH1GinI/BWd9ocoP3tzHj1KurDfeYdDZPnTvt/DkcG9v9L4mDuAdrRV5nnPQ9/DDhFbNftckgM8Kvvb8It9+dY8oSXnufOtdWxGeNizNlVHflInXOTm6rvDDtw85GkxpVCzG0xhVlc+NW1tD3CCmXjZ57dYhBwOPw0GAH8UIRWG+69GomFxab3JmqcrYjeiOfDQh0Apzhalr2CWdpVaZu7sjDqchrZqFpgmmQczYDdE1gR8mvHz9EMNQ8byYtzcGs0EKuUKWw3KnxL29MXu9Kc+ebbI6X+EbX1rlX/2nt+iPA2pleY/a67l0Rz71kknJ0ohTqTwzdZU0lWKU21tjbEvl3EqN0TQoiFrB+ZW6TH+u2diWThTLuudBkeQzKZpvLEO9z7IiidCdQ1e2DukC21J57lybiScHFKYuyPKcjf0xC60SqlAYufeJlcE4xA+SmYEDJFn1sIkjz3McU6Nk67N0neNz8/g+8Pa9Ad2hD+Q0qyal4n3c3R8z/OPbXDnT4AtXF3C9iO++vocCXLvQOTEcWZ0vE0YpfpTQqlkfeeuNEIJf+/Iab9zpo6qCZ842iZP0RJ1rEH1ww+kpPhooyn2DUpykHA08mTITxifO2w/2mpBkOa6fMN90SLOM8TQmy7yioU8lTjJsS3+iQdz5lRr6gSBNMxbbZUxD5eJqnYO+R5ykdBoyAXjiRbx+u8vtnRFZmrHyQPrzsej73t6Y7tDHMlQurjU+kIlvMA54614fQxc8f3HuIx98vBuOk4pBDpz8IP6peW6d4rOBR63j9ntTDgc+QigkSc7G7pCjcUScpIRh8ljXsirkmlRTBWGUMJlGzDccXC/CtqQAYexFGJrANDT2ui4VxyiSNy0Wmu8UeJxfqXFvb0ye56wvVD+Qoelw4M1Sn55kz/y0o1oyWOqUOBz4mLrK+rsY284t17i9MyIpDPH7hYkMHt80EyXZiSr1MEzJsoz//sNt9ntTVFXh5z+3fJrS/yniq88u8ta9Pm6R4nZ5vcG/+v+9gVAUrp6RLZjyc8wkN5dkCEVB11VKloYXJjSrJuuLtaKdQ5Bmkr+L05SypaEIQW8UYOoqBdVVCJ1zgigjTUEVGQqy0TNJc1Y7ZXwtZudoSqtmF3v5iBxJOodxxjTwsS2dNEt5826PHLh6psGNzSFCKOx1p4RxOlvj7vXk114Qo2sK1ZJBEMnUT8d8aLjzwCkuFDgc+iRphqWrmIUgJQeadYuKY5AUDRqGIaSxRRUn2rzeC36U8v/9bzfY70/p1G2+9NwCb96S6VtfeGaBH7xxwE7P5exijRcv3x+uhg+to4Mo+UgTaptVi/mmbEFzTI2VuccTgS80S3h+wngaUSnpsqGlwHF7iOvFNCrmuwr4TvHxoV13OLdU4+7uiDSNCAoTkqEL5ur319KjcUQQJ6Sp5OOOt3BxmqEJFcOSgsEoTSjZOpWSUbRj6CRJxk9uHHJze4imSXNTmskABT9MGLkRyx2DKEoZTgMUJF9/NApwbB0hFO7sZjPDqKYpqIlsBqnYJmeWq5xdqnPY9+gNfQ56HiVbx9AFez0PP5QGtFbNwg8SqgtVvnB1nu+8ti8bw+uS39BUwWAS4IcJS50SWwcue12XnSOXOM6oleV7OhrIVt4kzZkvGkdW5uReOstyyo6OH8owhXbdYr/nsb5YLvb5Covt0jtE3dc3B7Owg/44OMG/Hw/Woijl3/+PW2wfTWhWbf7Kr1yciSUBlufKTIKIt+700VSF1Xl5PbXqNrcfCJFq/xS0zZ7iFJ913N4ZAnIOcQp49lyLb7+6x+t3evzlb3zaR3OKpw2qUGYBUO8FTRWMpyE/un7AcBJxYbmGWbR6gQw5rDoGY0+KK9/PYHX93mDGGQ7HIdtHLueX67PvJ2nGwcDjcxc7vHmnh21qXDvfZm2hylzd5ub2EFUI1hYq9EbSXJEkCTtdj4P+lE7N5pe/tMLQDRmMA4SqUC0bHPZ9euOAKE7QhCh0ERTm8wxyBVEELwoFVucq+EGMXoi5w2It59g6qlAIkpSdQ49qyeC/fH+DkqURxglZnmMagnrFwNRVyo7O91/fpzvycEx91sB+NPARCrx68wihyNDJwSSgU7exTI0gStg9chlNIyqOjlAUlEJZO5yECEVhoVliOAkJ4oQgyhCqwvahS7tmsdi+v/4fuuGJOaXrxydaQoMwOeU9P2Xs96bc2RnhWBrPnWufaIi8tzsuhNG5bN1WYDgO0FWFwSRg+0jO2Qxdcn13tkcyGASwTYFQFDIFHE0tAqaOzdXiRGhpmkAQpCRJjqGLWZAk5EULB1imyrmlOn4QY1saSZpjmSrtms1h3yPNcnRVXjP39ieYhkqSZLTrFoOJj+uVqJWNE1xXbxQUbTEqrhcznIRy1lBoFa6eac7a+oLo/szP0NViX2Az9WJadYtLa3WEULi3N8YN7s8G4Z0BrY8DIRRMoZ5o3QDJ1R30PalXSDIM7X5b+R//eAdDl80FX//CCp3GT7+BYa7h4Pox42kk92YKeH5Cs2ax1D7lIj5uhHHKfm8qnwut0kzXAvDmnR5v3h0QxRm6Lph6Ma4v5wxxkmEZYhY4UyppBGGK56coCrQqFkIIqsXz4YWLc2zuuYRJim2otBZK3Nwck6UZlYrFxt6EP/zeFjnw7Nkml9YbxIcuuiZYmSvjFTN701Bxg5gszwnClGrZYPvIZaktOevhOGDsBbMAhmmQUK8YbB9NqJZMGcLwQJjCzY0er93sEqcpt7fHfO5Ciz/4wSZJmvO5Cy0sQ2O/L/8+a/OyNSvJMhRFoOkKu0dTpkGMFySsLVS4uzsiSjIWW6V3aHymfszR0MfQBAutkrxHFPNORRG8cLFDWAT1jKeRDNvNcuplc6alBKiXTeaaDntHLqapcXm9wUF/ytHQp1O3ee78Sd2gZWighJBLs6wiBPXK0yeeP8XTjzCWIbK5IrlnP0je/x99xjD03qnL2BmOqVafbk5vdeHpe96uz1f57uv7+GFKo2Iw13z6PoNWzZrp1xxLY/kx5zoP44lMHPV6/R3GjVN8Onj+Qos37valc13JmW84Mj0/k2nWxxsYVZWpcHl+bIOVSd//23+7OXNwBlHC+ZUab97ucTwpynM57S1ZGq4fIQRMPfjmT3YI45RpGJNkGa2aiW1pbO1POG5XUxSZ7JcjhQS9kc/NrQGen9BuyKFrFCdMvYj//Y/vcO1Ch7/2G8+w253KwW+SUnF0vvvaHmmWMfISDvo+cZww3y7zV3/9yjs2PGGcsn0wIc9hqVPi3t4EU1dZaJUIo5SXb3QJogRTV/HDhM39CVfOyJTRuWaJKM7o2j6TaSRbBjTBUqfExt6E7shHFQqmcf931som1y7IJP6SrT+xm+pBJ/QpfrYRhAndkY+hqXQa980Rd3dHfPe1fUASNSgyYX2hVSJNM+7tjyVh48qF+0LTplN3yPKcCysNzi3VORp6WIbKH3x/izjJ8IMYVVVY8mIO+lNqZYvJNCJJM0bTiChJKZsalZKBWhic5KBZxfUSrp5tcu1Cm50jlxsbA+IkK0wjTRRF4XAwlTVqO0Oubw5wLI3uKCCNUhSk2DhMEtnik8pEDaEoTP2IqqOiKKp8nb5Po2LSqdsy6SON6O5LQXurZhGEchOZ5TIxp2LqBFH3GU0MAAEAAElEQVTKYBKgqgq6JmbVjY6loQqFvd6UkRuye+gSpRn1skWSZOx0p5xdqtEd+cRJRqtmk6RS0H1MOofR/UVonsvr17Hk72zVrNlG7qDv4Vg6jqXTHweszJVnqX6DScB+d8rhwKNWNjF19YnNFztH7szB3x36PHuu9YEaXT5pdBoOf/GXzn/ah/GRo92wKTsGcZwRJqlMqRn59EYhtqnjhTFjN8L1EtmIpQteudllc3/CyJVNVPWyyTRI2DmULRKX1hucWajy2u0u7Zqs3R5MQgxdpVrSWGw6VByD5y90OOx73Nsbk6YZmhA0aoVAMlcIw4TvvLaHZagIRZL7zYrJXMvm8nqDwVimxbTrNoNJSG/kc293wvpClYWmw62dEbtHLkcDmRKVZjkHA59nySlbKtvdKXEiDZA54AUJNzZknXoQplTOGvRHAQutEoqiYGiC9YUGNzeHpFlOnGSYhsZSW5owHlSnBnHKyJWpEhMv4ruv7XM0kMbMTt1m58iVRlLksOe581L4djTwQJGCJtNQUVVlZl55eIA09WOubw4YTULmWw4XVuQAquIYnFuuUXEMhFDoj33646Awdmo8e67Jj94+ouHIQcfrt3vMNx2+89r+LFHoaOjz53/+3Ox36ZrK1bMn080/ajiWwRefuW8uy7Kckq3fbyKpn643Pgt4e2NAdxTQG/sMRgHpB6nheABZLpu5RJFKl+U5lqXRrFrk5KzN3xcKP8k61dDVd6Q6CaHMUnKPUXEMRq5M61FQeOtujxcuz2MZKoutEoNJwGFfJup4QcLW/oQLqydf990QRAl/8L3NWePdeBrxy19Y+8Dv5UlgmepssCOE8lQ2YJ3is42H13FX1psyYapIVErJOBqHeEFCFMmABU2D+H04UQWIk4RaSaPsGBz0PQxD5fxqg1phFLFMjck0YrfrMpkq9PSA5fkKz5xpnzD/HaNWNj9wwj3INfHG3hiAo4HPlTPNj9V0HBf16NZnLJF3Za7Cytx7GyccS+fa+fbsa10VbB9OUFXxyBaxR76GKZuNjqvU2w2b3aMp+z15nqVpzqs3j05NHJ8iqlV5LQVRiqEJ/vCHWyj5cQNFn7mmQxAmJKk0Pygos4HmlWdlq5ehK4ym4az9bcMds300IU1yHFvl8lpT8le6Rm/szZL7kySlbBvkgKooeEHCYCzvN6+MuzimIAgzjgY+XhDPjBaKAq/d6tGu2+S5x3//wSbdofx3w3HApdUGoKCpsrHneG+gCgWhSPNGkmQ0qzZZLoUf51fqNGsWQZjwpWcX2O95bB1M0FTB5TNNFtuyyU9R5HqkOwqolnQMXaVTl7xcf+zLPVAGpiZOrHsA3rrXY+fQpV4xeenyHKIQO33n1V12juSea7/n8fqt3sxcdX2jz4+vH5JlcHNjgK4KniuCXFp1a9ZOqKniIzVwHGN9sfquRq93gxDKu66r9nvTWXvI8ZD8lH/85NGsWTSrNt2hTxJnWJYKioJtaRiaij9IcIOINM1lUm0uDZk5Cpoq23vmayXZgJvLRtzJNGKxVaZa1hlNA7pjn4kXk6UZk2nE+aUq860S5PL5myvyWT7xIhShUHE0Bm7AQU9w5UyTOztjtg9dsky28s41bBxb54WLHUq2QZZl7PentGs2miZNqIaqIFBo12zSLGfixbTrGpapce1Ch2sXTq4bxtMIP0ywDNg9mnL9Xo+d4hnVGwfc2hny5756hiAymTxguHj+QhtdU7lypoltqnz7tT16Q9lM3q7bPFc8O5c7j053TbN8ZuAAeS2kRVjMg/jBW/ts7B+vWTz+6Idb/OYv3OevNFXgTmPCKCUE/sePt/lzXzvLpbUGaZZx2PdYaJYfK6DlFKc4xYfDsXHq9HqTeO6cvA++dbf/yPvbKU7xUcALIva6HsvtClUnoj8OOL9yv2V6qV2ib2qzuf27NVUf4wTHVjTuPYgbhQEzilJ0TWWxXZo14QFcWW8y8SKeO9+iOwr4t//1bTYPAkauNJF0xwHffmWPtSKEIs9z+qOQ0TQkS2QonCoULENjrmnjhxlJkhIlGVmaIUSGqmr4QURvFIICEy8kTnPSRIrK23UL8hzH0rANle2uz97RVIrXLUO2mJUMeqOA1251ZXsXOYNxRFzMHRdbDq6f4IcJWQYLrWI8oshmtLfv9YnijFbN4qDnsdgpzYLlFlqOFHQCl9caDNyIqRdRK8tQzvE0YvE+xfCOuUi1ZBahVTLZ/7PGo/ysYeSG/NGPtmZzLD9I+OrzS7Pv+1GCF8gwKMtUsQxVzup6Hns9lzCU8/Yoz4iilDDJSGUUPq6XU3E0SoaOpgnCItA0iiK84KSpQdUABTRNJYoSNFUU83ILXZNceafuoCDnZGXHQACObfD8hbbUGt3t8+bdHnvdKQtNB8vU+NKzc9zennDQ9+mPd7h6plnM1zVaNfuErklThbxWi8CK3sjHDxO+eHUey9SkcaOY+SVpRhCnLLfLLLfLNGsWmirYLuasjqExiKThaalTYq7x5PvhlbmyDHoKE1pVC1VV+C/f3ZQ6hyxHUxUurjY4GEyJU6mniJKU1253P7F5xqcJIZTPZEPIzwKyLOftu/3ZLGviRTxz9r4B4GjoMfWkri+K74ehZHmOqgp0TSHL5Yzf1ASul8xMIEGcsXUwoT8KsEyVn/vcMqoq2O9NObtU5Zs/2mQ0DYpmq4TeKJgFUL9xt8+1Cy3adRtNFdTKJtXSfS5t80DqGhQFojjBtmS4a5bJNtEzCzV2u1MUBVbmy3zntT26wwBDF1xea8hrLE6ldslPmPgxeZYzDWI29sazjqHvvbHPcCK1fgpwOPBJshxdFSgK3NmZ8Ow5nzBKZPNnyZjxDA8jilPeutefzU/COD3B29um5ESOn6lzDZtWodmQRjCFnSNXGuvyjGbVomzraEJwNAq4vTVi6sfsHLpcXm9yaa0xe+35lkPJlq9r6toTaxNPcYoPC0MTvL3R56DnoaqCaumzq017Nyy038kfLlTePUD+aYHrPX2Gmjfu9ggKPnzsRuwcubx45dM+qg8GRVE4u1Tj7Id8nSfajf2bf/NvPuSvPcVHhblmmf/bn73C9c0BYzfEsY1Ztd+FFdk6kWY5S50yeZZxb3eEH0rDwUKzzF5Pbs4H44B7e2MsQ0XTpHMzTjMMTSXNMqJIbvgGqY8fpuz3ffwoJknkAi+KM9I0IldknSnc/x8FSHPIUjk0CsKUemUOFJlYHifgBjH39sY0qhbPnmuxMlchz2US/h9+f5M4SaX4O8uYegl73SnXN/rvMHHc2BzMXH5jL2LsBiiKQp7lHA18uNtFVQXLnTIlSz8hmFudr6AoMNd0ZkRntWTQrtu8fqdHfyRf62HRmmVoM5LkFKf4MIiTVNbrFekzfpTMau6OCiLtGN1hwIWVBuuLVb758jbDcUi9bKJrCsstB02XZoVaQZSK4r4QhAlBGEuhZQYlW0cXCt1hQMUxieKU3jggy3IqloFlqmRZhqpr+IGsLC1ZOu26xaW1BpahcWahiiZkUkezanJvb8y9vTHjacTKXBkhFEq2Tnfok6WySrDs6CzPlRmMArI852jgkeXSiDHyYr7z2h6ObRBGsgZ1MAkI4pRWxaRWsRhNQixTo14xOeh5GIbcaMaxFIO36w6eH1GvWJi6iq4KRm6AY5VJM5kaMnIjpmGCHyQcDjw0VeEra4vUKyZeGBeJHxITTw6aTV3lynqTN+7IlM7lTplG1aLBO+H69927chAvyeY0zbi9PaJSMjizWGMwCbi03uCFi3OPeJX3h/tAw4BMS00+0yaOn1Y4lkHFMXD9GFUTVEuyOWpaPJOaFZOVuTK3d8azdMooSRlNQ4IoIU5zkjSXdXETn3JJZ+yG3N0bEceyCvOrzy3w9uaAWtnii8/MUy3dT7LuNGymgUynWVmokKUZrh8z8SJ+cvOIg77Hckem2wRRyvMX25LMyeT95FhMmecy8Wa/53JnZ0SYxOz3PAZjHy9MsE1JrmQ5HPZ8uqNQpoRmx2aslDBM0UVAp+HQGwacW67K+rsipWbiRSxw/1nartkoSkCzatGsmSw+0LBlGyq2pXLY89nrudQrFvd2x/z4+iFffmaRjYMx8w2HWtmUrv8sR0ESuwqy4l1VBZfXm+weuahCeYdocetwQpJklGyZiKGqKmXb4OJqnbIjha7doSSJy45OnsPaQoXPX11gp+uRJBlRktIbBdzaHHFvb0S7bmNoKsNJSJZlM8HYpwEhFK6caTJyQ/lcKH/0YrNTfDCkRSrFNIjJM0jSXKbcPCGyPKdkaERJRpLm1MsGhiGTr2TidUKn4XzsTU2DSYhanOvVksm5pSqdhoOmCoLRSdIgyx/ftDJyo5mBAyjS9T4ZnFuus304IU4yFlqlUxPHKT5yPLyO648D9CLBaTAJiMIUx1QJwoSMHAGUbYPB5L3be5IMNBSCOGfihfRHAaapoQmFtF3i4nqT7YMJWZajqSqGJgcIR32PaRBxef1Rq9vHfE9ehOvL1pqyreM+lGjj+tHHcj9K0owfXz9kc39MtWRycbX+2MaHzyoW26V38A/vByEUrp5tMZwE6Jo6a3d5EKeirk8XlqGxvljFDxKyLOXtjf7s+TmYhJRsDT9MmfoRuqoQJXKgWnJ0bu8MCaOEimOwMl/h3t4IQxOM3RAllw0WQZiyc+RSsg2ZsKcKSsUQtFbSQQC5QFMVbFOKirIcukOPOzvyXJHr9hynSLnUNAU/iNnYjyFPpYGjeJQP3ZDN/RGKUHEsnUbV5PaWbOaYbzromhR8VEoGL12Z42joY+kqL16ZO7Fv/Wt//llubg1xTI39vsd//d4mSZLRqJpUbZOJHzEYC64+cH/SdZWvXFvAC6Qh5kHx9sbemB+9dQhIo4amCl64JPfcUfxgMEPOfn86415ev9OTa/hCRL9xMJ6ZOBoVi+fOtfBD+Rl8HOsC2ZoQYpvaR7Jufzhl9OE2kVN8MmhWLVbnK9zaGmDbGrqqkKMQx5Jzl8atDBRpfjI0Ga2bJhm6JhMvncJcnGVgGYKcHNeLEAp869U9dg4mMgWvMHn3xyHlUkDVMTB0gecnxGmGqiooRdJ0p2bTqFiMphF5LtOgpckzpFm1qJUs9noezWrKeKpy0PcQikKzajHXsHn2fIvRNCbPpRm1Xbe4vN44kfj5IB7kyfZ7U25sDekNA/pugKWrBGHKN1/d4fOX5uX+2zZo1izCKEWz5WsudSr0hncZTAKSJGMwCVlfqKIoCq4f8yhm7XhW4ofy2rdM9ZHPwjA+uSd71B6t9wA/m6b5rL306pkWV8+ctmuf4hSfFO4UJo7zK0/3ev+jwvpilZKlMQ0S7u6OHzs04xSn+CAQQsiBfy4NGq2qzV/8xfNFO6Dce/ZGvmwENNT3DTF46crcTAy9MldmqXNy7+v6MVmW8da9PmmW47g6f/rqLn/lGxcRQiAKnvtw4PHmnR4Zcsb6YInleBqTZjklWwYdxKls98sKA7quCSxDo1m18YOEkRtAruAXa+i3NweoQiZlm4ZGEqfEaU6WZUymx8FUcg9yNPLZ73ooSo6uCZp1m4VGiYkXstebctD3SLIcoUhRfRKntKsmqipN72eXavSGPpomhakVxySIEqJifXJuqcb55dqJ8KZq2eSXPr/MftejbGuEUcrvf+cecSLXfM+db9FpOEUzqvWOZtQzi1WpB0kyOg37VAz6KaM/DmYGDoDe+CQHnmU5hiGTfYWSM9dwuLk1ZPdwwtiPyTLQVEgyBUtXyBHEccbxS/pRhhARE182xo79CNd75/5QE/K6MHVBkgjm6xa2ZdCqWYynMpCuWTXlWr1uMXYjmlWT5y92WGpLTcCltQbdoU+ey4CxetlECCm2FopCGKZ89/U9Xro8D0AUZ1xcva9rWu6Ucf2YPPfYPpyQptIwcn1zwOcudmT4w1qD3aIN9MFguKknAyyPMd8q8fmrC9imOjOdPSksQzsRvrKxN559ZqqQJv3zKzUcW5uFzx1/7xSn+DiRpNkJ/ufBmQNAo2rKgJgoxTYV1heq7HVd4iSnWjGYr9t0xwF5CoauMJmGeLF8pipkfOfVXQ6HvjQDKvBzzy8SRBmOpfH//N0fEycy2XnopphaPmvbzfMYkM85TRWYhkqe5+wcTWlWLToNix+8EeFHKa2qScnQeOXmEUmSce1Cm1/7yjqv3+6hKFArG/zJT3ZlA7UP20cu/5evX2Sv57LQKvGHP9hk69Alz6UxUSg55SKEceLFaKrK8VImTRNUoZJw/1g39sczLcNy5935eGm6vH/TmXgR24cThpOQkq2zWqx//DCRvErZYOvAJUkz5psOt7YHBKH8rBRFao3GU2lAvbM7nAVaTLyYn1w/OGHiuLTWYOtgQp7L++TpveUUnxaOhgHDIoguz3Lu7E74uc99ygf1AdHrv1NrcDD1aTSeviaLB7G5N/y0D+EDozcKZFiwkgMKWwfup31Inxo+deX5vXv3+K3f+i0GgwGVSoV/8A/+ARcuXDjxM1mW8Q//4T/kT/7kT0iShJdeeom/+3f/LoYhB///4l/8C/7Df/gPZFnG2bNn+ft//+9Trcrh22g04u/9vb/Ha6+9hqqqfOMb3+Bv/I2/8Ym/z48TzZrNl5+1uLE1YOxGxcKijKGrnH/A7XxupcGf+7lzTP2YSlnn3FKNtzb6eEHCwcCn4uiM3AjXj7BNQZYLyo6B60WEScLYiymbgqmfYOhywJSjoGsKSZqjCVmzromcotwDoUClpOF6KYrIpaM0y5lvOWzsTfD9GFMXOKZGGKdsHU5QFDlUTDNZ07g0VyJJc8ZejKKAbqoyic9Q6Y18OQA2NFbnK7NhDECSZHQaJbYPp8Wx5sw3S/hhwtiViYUrD1TYqEKZDW0fhOtFNCsWtZJRGELufy/P8xNVj6c4xePgUedNGKe8dafHxv6YZs3CNjTG0/vDzcVWiRsbg9nXrarF1sEEVVUwdEGlEEKVbZnqqYqc3jikNwqKQapMxZtrltBUhSBKidMM3RCyjaNWQhWgaQJVHCf9pVR1nTDKqJU1VJFh6ipfeGaeLz0zPxMlC6GwvlglyzK6o0AmBccpWZZLwZihMpqEGIaKCASdus1Cy+Frzy8RhAl//PLOCdOXUEA3dA77PmmWEkQpqlAYuSFZmrMyX8W2dCxDHqsiwPdTdFUljjPm6jZLnTKKAE2osrrZ0mbkzHFyR7MqKwu3j1yEIgWnqwsV1uZlwv/N7SHkcgN1nJAM0vC1Ol8mSXMWWu++iauVTIJQJl5qmsCx5CM3y/PZ5m5lrszqfPkE8Xp8jNuHE7xigzf3HjWrtZLJ2I1mn0XFOTVwfBrIM9mCpQppHCjbGlfOSJK8ZGlUHYNrFzs0qjZ/9KMtSYgXCa6aqqIoGfWyQRgn6JrK0cDHDxJsU2f7cMLafAXT1PmNnzvHYrv0jntIlmUzoeLKXJkfvX3I1v4IL4g56Hv0xn6RYisTY0uWTm8YsNQusb5QYfvQpeIYqKoUW/VGoay9dUM8P6ZaKpHnCkGcstAqoWkRtqkSp7IOlCDHT7Pi/gZKoWdSNYV6ycLQZbqmdCFXqdg655ZrHPRlG82Ljk6zZrHQLJ2o7FaFgFyhUjLYOsyYeFGxRsgI4wTHlAOYWlk2gsm0DplwQ56zdehi6pKcfZDoAJkMvnvkstedUnF0TENjsV3i3HKNVs1CUeR9Z3N/AoCCglAV5hsOpqFi6CpfeW6B7795wDSIubBSo+ToOKaGHyQYZZV23X5XA8drt7u8fa+PZaj8/OeWPzSB/F5QhRTanOKzAVUolGwNAUVd7wdv4XjANo1l6jQqkvA0NBXb0hECLq81Z41znwQ6dWcmFK6UDDp1Zzb8q1csyo6HWwxRlj6AKLlRNrBNFb8gNucfka77cUHXHj/9/hSneBI8vI5r1y0Gk6BYz+WszFdmydZaomBqctihAu8lw1UAgUyWGoxDpkFCmGS8cbfP9uEUdxpz9UyTds0mSTPG01g2TVkaX35u8R2D/cfFyA25vjmQNygFrp5pUq+Y9EayyUoIhWrJ/Fj20Rt7Y25vD0nTnCD0MHXZBPSzmCSpCuVE0v5Cq8Sl9Qa3t4fYpsYXn5n/FI/uFLWSSatqk5UzsjzH0NXZcF9VFLqjgNEkQtUkx6arOZYp0IprxjA0vCDlzTt9FCVHCMHEi1GK1os8k3ydpsoFuaoJ5soWWZaj64KaYzB0IxxLY32hSprJhDsvkCEuoJBmOavzFWolkzTNWF2s4kUJCgpJkqCrQiZ6IvcztmGQK3Iv/8atHralkeewfeBy9WyTLM/RVMH5lTrXLrQfef3XyiZfuCrPze++vkee5Sgo9Ib3zW0AUZaz1CkRJ1mR8NkjLhpDGw80YwyLNr9jjB74+qvXFri1M2LqxdiWzpX1+8Jr29IKs6lClkvB1oM4btt8HHzQe10QJrxxpzfjC84u1eh8iJRQkC0FUjwjW5qfdE8wGAccDjwMXWV1vnIq8PqAaNVszi1V+UnNYnNvTBDkqAIqS1UUVTCa6Lh+jFAUhJBr6SzNwVLQNEG1bDJwQ1RVoJCTpMjk3TyfPXcdU2M0jQH52mHR1L00V2b30KU/loKrRtXEsXTGboSqCpIsYzAOyIskXdOQCbjzzRKOpbN1OJH3ljxnpVMmSlJUVeGlSwtcXKuzeTBh6secWayyVCRjHw48+uMAx9RYmavMAh2qJRMUF3K4tzeiVjZw/QhlAkJRMA1BGucMJwFDNyKuZjJY5gERVhSnRIlM2hSKgh8ms2utVn53k+iVM1LkBZwIjngQX7gyz/WNPuNphGWofO3a4jt+Zr7lMCgG1ZomTpsuT3GKTwFeELNXXM/nluuf7sF8RqAWRu4fvnXA63d6pyaOU3wssAyNL15Z4OWbhwih8OVnFlBVcWLv2arZj936VnEMfv0r6yRpNmuwB/ms3zyYMJrI5Pw0y4u5pZz7Zxkc0+1eEHNvd4yhCVRFYanjMCx0EqoCn7vUIsukgXW+WcLUBff2pNAySWX6taoKFlsl1herjL8pQyn8oWRc8hySFJIkIcly4mKdnqEU+xVJfxi64PaOSxQnVBydHNkQcDj0GU0C/DDBNlUmnmxKyFFQdcFOz+PFK3PomsZCq0SW5Vw506BWNvGCmK2DCb2RPzOQP8rk7QfSDBxEGWsLVX7xxWWOBj6NqsnVM00s8933LkIo7znjPMUni07dRtMESSGyeZgDPw5wzfMcVQjZxjfy8SNp9AbIFYWqrVMtGwwnEWEUHeuTieOMcSZNGrJd7tFJzdJuDhXHBORs7vxKA8dUORhIw9Ziq4Suyfl7p25zYaVxYu9aLRk8f7HN9sH99PlO3UYIqRMKkxTzgVCE8TRksV06oWuSLbPyOqg4GkmacXOzT7tus9wpU3YMLq0ZJGnGa7e6xMXfrVLS0TV11lCrqYJOwzpxn/mwON5/HM9jjgOoVuYqtGo2jYpJfxSwc+RStnU+f+WUhzvFx4tjLcxx2PHDAUoVWxqxrCDBsTTW5sszbd180yGMUhpFe24Up7xy8whFgFAEXpRyt2jZnvoxP3zzgDfu9PH8mHrFJIgzioIJ8kxe78chbpahsn00ZeyGqKrCxaROs2rTLtYKb9wekCNbsbwo5YfXD7B0DSGkqeKFS+d55lwbAby50SN7eYcoyhBCNlivLlRYmS+jKAqrnTLX7w2I44x62WSuackmLWBpTr7XoAg2qZcdXD9m6iXousJyp4ImZLuwpooZh/EoHPMkG3tjTF3lhUudmSnDC5IZb/YgJ3jcHhjG6exnQd5LyrbOyA1RFPlM3j64r0l6uNXM1NXTtpufIjzNWtM0y1BQZgFHWfbkQZWfFs4/otVzofL0t9fnytMXRlmvyOb4PAeE5F6fVnzY6/qJp9n9fp9/+S//Jd///vcZDAb8s3/2z7h48SK/+7u/y/PPP88zzzzzWK/zt//23+av/JW/wl/6S3+J//yf/zO/8zu/w7/9t//2xM/8u3/377h+/Tr//t//e3Rd53d+53f41//6X/PX//pf51vf+ha/93u/x+/+7u9SLpf5p//0n/JP/sk/4e/8nb8DwG//9m/z0ksv8Y/+0T8C4PDw8Enf8mcaQihcXmvIZCpNPHKY1qxaPH+hw9gL2dgb8/03DjizWCPLU/rjgGbF4M1RQJJmRLGCoamszVfYPJgQRgmWIU0dXpzJpIoi5e94wLTYLuHtjckUSMIM2xTouqBRtkizEMtUMVRV1nxZBm4Qk2Sgiryo9QxZUyr8+O3DQrwSoqsqV9aamLrG5fUGO0cuuiaYa9iszVdkbXIOY2RiWLNq0S/SeSuOwdWzTRxL497eiCjOZmKUTsN+7KGjZZ6sIis5OhMv4ubWkCRJ0VQ5TGtVrY9VgHmKpx9BlHBjc0AQpTSrFueXa7Mb+M3NAV4gWyF2Qpezy7UTC/PV+Qp/5qUV9vtTOnWHwSSYDQ1nFnHkJi0n58aWPOctQ/D6nS7tus3z59skWcbIizB1KUAOg4SxF3FxtYEXxrJ60FC5ca9PliuMJhGXzzaoOgbri1UWWs4sGSPLcm5tD9k8mHBjo0/ZMeg0bFpVG8vQuLs7YqBrWIZKq2Fj+wmrnTKL7TJffX6J+aZDnKQcDnxubg0YTnyyVF5zli7JnyRM0YS8l6iqgmNrLLRLCEVhGsRkec5iq0y/SOA7t1zl6tkWF1cbXFqtcWNrRBClXFitzxpzpn5MHGeMpvLv8MLFNpfWpMj1uH2jUZUJm0GUEicZG8XmFGAwCTi3VGOvN+Xe3pjlTumR5M/aQgW7SLFpFfWt8jNS6TRs2Q4EsyH3g9g5ctnvSQPI2JXH+W4pnIvtEoYuCKJ0lpp4ik8ecSJNTkma4Rg6zbrF8xfa3NkZ0i3Sr8u2zpeeXcA0BBt7E1o1i/44JMkyHEOjVjUxDBXb0PBCWVWqa4Kldol61cQ2dfb7HttHLkvtEitzFV6/1eX3/uQ2SZLxiy8u8fUvrNNpOPzZr57h//j2XXpjOZCoRDolS6NWsQijhDs7I0ZuRKtucW65Tr1s0m7YnFmsUiubLDRl+pQQOV4oUx9qZYNa2eTL15Z49eYRd/cmmLqKoihYpk6eRyw0HIL4fur/C5c6aEUKp6LIAUuOTICeb0rxg6GrvHRljmrJ5I9+tMnrf9ijZOn8+Z8/ixCClbkycZKx35/Okv6jJMPUNRY7BhVbl2anphSM39kbs3PoEoQJJVtjvuEw8WIMXZ2JloIwmV3XFUenNw5Yapel6cwN8cOE5U55lnQFsp48y6VobOSG/PjtQxxL4//8S+cZjEPuFa/3wuW5IjXY4urZRydxDsYBr9w4AqRx9Tuv7/HnvvZhC/ZO8TQgCBOuF81xpqmiCsjSnA9QTMExf6goYOkqnbrN2aUK5ZLBypwUXMI7idqPG3/mpRXeutcjSXMurzdn1z4UgoIzTcIoRdfEB0qBNwyNX//KGW5sDTF1latnnrwh4BSn+Kzh4XWcrgmyLOf6Rp8kzSlZOp+72KZbtELGScbYjXg/SrRZ0ahXHZbaJW5sDRGqQpZlBLFM9D4ceiibCl+9tsiLlzrc2BqSpvCrX1l7YgMHFKLp4/tZDsNJyELLKZrGQpbaJQ76U5nMqatcWmvIBK+PAFGcSYFHcQBJmr3nwOVnDV96ZoEvPWQcP8WnA8tU2TqccNDzaNctfu3L67x5pweKIIwSrm/08cIENS6Ghpkgy2U6f8UxSNKcSMS4o5g8V1BEJs1dxbDRtizW58vEaY6uqcRJwt2dEXGSsdQu8/mrc1iGFPLYhspeb0oYZyx3SozchPFU7l0+d7FDxTFI05x23ZbDzSDGNjS++GzM2xsDcuDyWp35wpwZRVJcHU8zFAXqFZNa2aQ/DphvOoymIW/e7aEKwfmV2rvucYVQZsbuoDCPHKPq6LNU36kfcdDzOBz4OJbKxbX67OfW5iu8ebcnUzEVWHsgtKVWtvlf/sI1+hOfZsVmOA1ne4OvXVuiXbPpjnwWGs4JEckHweb+mP2+h64KLq41KNvvb/wYT6MTaX6DSfChTRwVx+Da+TZemFC29SdqD/HDZBZyAbJV7nRo/PjIc9kOvXPk0qxY7B1NSbMETdPY6Xm8dGWOetni7s6Aw2GAghTjyfRIFU3IVOkoTqk6BralMZnG1Er/f/b+LEiyNL3rBn9nX3xfYo+M3LOysrKWrl6llrqbBqFPgBiBRmPToA9GgwzDBmGyMeMGA0NgMkxg3CFu4LPRDWPYyAywQfo0NCBaSPq61eqtumvJfYnI2N3D9+NnP+edi9fDMyK3yqquLbv8b1ZWGeHhHifcz7s9z3+RCRXjKGXsx6QTkwhVhaJjUHR0DE0lSTNGfkKtZHBnNyTLcuaqLo6poSgyqSdKM1bmitRLNntdj87Alo6OCpxZLrPdHpOk0mXzz3/mJH6U4oUxAy/i1NJxQ6SBF7G+I8fT0IslmWKShll0DC6dqtP3IhYbRcI4xbW0iYGFjqIoXDxZo+CaiIlb58p8aWrGcmOjxziQ4ySIU1SkIdPqQomCYzxxD2Po2iPNm46iXDT5Wz97me4ooFJycMyHx8unnl+k5FiMo4TTS+VjJhQzzDDDB4O7kzmmWXU+8LrHRxmXz0gRx1t3Dvi5L579sC9nhh9RPHeqxnPvoC530A/oexFFx3hILHBYI42SjGbFmRIcb2318fyEYkGaTL5wuk53FCGARsmS+/TJax26jhddk1fOzzH0Y37ixRXag4gzy2WKjslXv7nOOEzoDUNpuKQorM4XOegFVIoWcZLT6o3ZanlkmcA2NVRFkogEsv661CggUOh7MSM/lr0JXSUXAj/MsIyc1bkid3eHZEIKSwuWTteL6HkRWS4macURYZxRdHSWG0UWGy7ztQKVokWS5TSrDpYhXcqvb/RI0pxK0SKIUs6dqD5k9tYfRdM+YpLG7HXGvPrcAn4kxS2v3+pQck0urFUfWYvNspyttkea5iw0Ck91Zpnh/UPRNfnpz57k7u6QgmU8NNZW5orScExRqFdshBBUixYbirxPhQBdVZivu5yYLxFEGbd3ugy9hCyXfShFSCFylku3/TQ+3pewTRWQaTRhlKBrCnGSUymavHx+DhRpdOBaBvtdn429IZ6fcG9/iK4px3gyi/UCvWHIcBxzYqHMUrPIKxfm2NgdMl93ca37e+313SHX1nuUiyaff3EJFIXttnRhvnCyxsbegG+/1Z6aSf6VL55jYTIP6JrKpTMNtlojtvY9DvoBczWX08sV4jSjUX7vBByP4nn8+c+tcWfn+Gemqipf+MTqe/I7Z5jhaaAosv/W6vpSNPXAeuE6BpVJqpRlajRqLiXHnDwXCo7Of/7DOyRZzsvn6tRKNr2JsKA6SdFIsxxFUegMQuqH6byjiPmqzXZ7jAAsU+X501U8PyXKMixN4852DyFkOuZeZ0y9fL/OpesqJdcgzaS5c3cYEseSi1iwDeIsozrpM56YKzJXceiOQmkUc6LK1btdRn5M0TUQisLZ1Ypcyy2NL3/qBLsHspbx6sUF9rse/+1P7+FYOp+5tMhv//4NsnyMaxucXCyy2ChOhKUqhQfWw4N+MOUAlAsmd3cGtLr+5Gd1Lp2+n9Dj+TFv3DogiFPqJZuTSyV2DsZyra27WIY23b8YExHYfM1F0xRW5wuMvITOMKBRdvjcS8vv5W0yw0cEWS64tdlj4MUUHIMLa9X3VGj4QWCpUeDUUomDfoiqKbx0bu7DvqR3jL4fP/S9MI6AZ5vze/nMB2fu+V7h0ukm69tDwiSj5JqcfQbNOg65s/1RhGPrknf7Lvow76pbvrm5yVe+8hU8z+PixYtsbm4Sx/IGv379Oj/4wQ/4jd/4jbd9nU6nw5UrV/it3/otAH76p3+aX//1X2dra4vV1fsb22vXrvFjP/Zj0+SNL37xi/zrf/2v+eVf/mWuXbvGJz/5SYpFSYL90pe+xN/4G3+DX/u1X2NjY4MrV67wm7/5m9PXmp9/VKj200MIge/7P9RrvN+IM+iHKaqqYD/QbDA18McBNzc6JFmOyGG+7vDC6Sobe0PSPMcyVHQN4ixlvzcmSTLKBYuhH+HaGpXUJMsy6TAhwLE0GhWLesmi1TPwwhRLSEVvkuWYps7FNZtWP2Sp4fIzP3aS//atTcJIRqEqqCRpytpCESFSkiShP8wJo4xMV9FVk3PLRV4532S/FzDyE5YaDmkSE4X3nfQGw5zzJyrYuoyOr5UsfN9noWqwUG2y1/UZeDGupTNX1omjkAen5TiRhG3H0o8RPk4t2LT7IbqusFA1uHa3RRBldIYhvWHEiYUiu22N59aqsyLHDI/FVsubqqu7g5BayZq60oQTAdaJhSKDccxi3WVtoUQYp+y0xzKSWFO5NCEE73flPJTl0i3m/IkqUZxRLhh0BhF5LgjjlCt3BziWTprm3Noe8Onn53EtA1+kkyhSuLPdx9A1XjzTnLpNZ6l043QsnZJjcvFUnYJ9vCHa7gd0ByFX73YYegnxxOWiVrRJ0gzb1DAMlTBOcC0dxdFRgJNLJfY6Y3baIw4GEZqq8Nf/l+f53rV9vCDBMTW8IOGF0w32u2OGfoqiCFzb4MJanaJj0FKlaj1KMjy/R8ExyDNBs+by5U+uTZNJLj1AoE6znG+9tQeTA6ll6qzOFWUB+IHEi0OHzSBKpwUwkI5DV9e7U1ePcZDwwpmHidrtvkxSqJXtqYDkEEuNAiXXoOCYjySuhQ84oIRxxqEWWLoO5rhH5qmndTea4f2DZWpomoKhq7JYWbImn6N0O42TnG++ucdC3eWFM01eOjfH9Y2eTNRRFRzHAHKCMCFJpdNNGKfc3u6z1ChweqnCzc0+fpiQ54Ltlke9bPP/+f3rdCbixd/5o7s8d7JGrexy0A/IhSAIU+IsRwiFc6s1FBXu7Y3QNRXX0dFUBcvU+IlPrB5bvy6crDPyU+oVG01VURVJpPrKT18gCHKurXcpOgbPn6ojgOVmAVVT6Q8jVhdKfPriHKap06g4hLF0gzq8T/sjmRC02/WnooqN3RGlQsi33toHYDRO+Hf/5So/+coq4yCh6JqszBVZnS9i6hol12Cu7jyUVBMnGVmWU7B18jwnSaVzp6qq9CZOoLalkx4hR1mmzunlCudWq7x1p0Pfi6aOG6vzJXRdZeTHmLrKxVN14iSfuiX7oZyjTy6VidOM4Tim5BZYnS8+UWX94BiPkyf5qc/wo4SNvREbe0OSJKc7CjB0DUVVIXsyJfvwblIVWZBl4nZtGBqLdRfL0vn8i8ucXK6w1xmjKgpL7yDt4u0QRCmtniQiLjYKjyRG67rKi08o1EjB17sjaxddk1ef++HOcTPM8FHF0X3cxt6Q3ihCVVVMVe5XgzBlueHS6gcEUUiaC1QFskeIv3QFqiWd8ycaOI5BtWBya2tAlh6mZakYqirJoQgun23y8rk5PnUpxJkkh/0wcB9weHRtne32GE1VaVYcusOIVi+gWrSI4ozN/dFDSVnvFvN1h8Vmgb0D+fueP11/V0WyGWZ4v3HlbpcgTCkXTKI4ozsIOL9WRwG+f6OFaxvoukoSp/hRjm3r6KqKqqoUHYNxmFByHbwgJYpzFKS7/Zc+ucrYT2hUbIIoI4hSdE3hu9dbMskyBz9OURWVJMupFkxJynYMbEsQxxnNio2mycQwbZLsgQpBlNAfRYzDhMTO+Zt/8QVa3TG5EKzOl3nzzgFRlMlr1VTu7g6mbly3tvry7xyGFB15xk6znPWdIZfO1IkSWYPTjuwtvvDKCv+/P1knjDMunW7w0tkGd3ZGFBydz7ywSJRkpGnOdsuTwgchiJKc21sDFusFslxQK9v8zI+dYnfSIF6ou1PHftc2ME2NxYasJc+bLs2Kg6LIgrs9qUlUCtYTUzEfBy9IjpCpcu7tDR+qTTwKh+mdj/v63cKenIHeLaI4uy/QQxLuZnh6dIch3WGIpsmE1kPnXIHcY2dpzmdfWAAEhuHJPTfqJEE3o+gY9EcRnWE0SZE1+OTFecquhRekDLwIP0woOwZa0WShXqBUNFEA29CxdI1a2aLV9RmNI0BhtzPmpXNNTF0nyyVhcK7qYlsauq5SKdq0ewGnluR5uFywGIcJpqFydaPL6nwRIVTu7gyple1jdapDZ8tDHD37HvQDDvoBmqbwqUvzfP96G01V+KW/NE+l5KCp8ux90A9RFOlkWy/bOJbOne3BJIFboVQw0DUF1zY4u1qdCrveCxydGx6Hd0JenWGGGd573N7qA492zvw444Wzcq/x1p0ueS5mgvYZPhBM64W6ymL9fr0wywW7nTH3dofomkp3YkxxNFlAGkjKfcNBXyZH1Er2tIeqKQqVgsWLL68wDmK+8foO3VHE73/rHudPVPnMC4toioIfJnKvpSq8cn6O1YUSpqGRZTn/x+s72JbOOEzQNU2m0+kKjm1yeqXCXtvHV2M29uTZZrnhEkYp5qLCbjcAIaiWLE4u17h8ts7XvrvFQc+nM4ywDJ3FegHH0amXLKJYYxw65AJeON3ADxMOhhFl1+Jg4NP3YmoVm+bE2KtWloL3hYY7uV6BOSGqZrmY9h91TaXkmszX3IfGdXqknuyHCX6UUC5YREk6TSEY+TH7Xf+RZnK3twf0J2aBfS/ipXNzGPrTG+/M8N6j9hjD0CwXFF2T50/XUBVJME5TaWOiqSqqmoOQjWwhoF5xJuIhmxub/UkfEkAas5Zdk1NLJXYOPFq9gDSV6XeaKonWiqrQGUaT/rbGa9db1Ms2n7u8NO17zdUcNlsjKkWLLBPc2RnwySPXvtUaMQ5SNFVls+VRKVpcOt1gbaHE9Xs9esMIy5Q9g1bXR1EURn7Md6+30DSVLMvRVGl0NxonaKqCaxkMvJi31rtTEQdId/osE9N+e7sXTJLL39ve+eN4Hq8+92wTPmf40YCuqY+c60GOEVVV8CdJHCfmCkSpwBvHnF4u8+//+/Wpeex3rrVQVGn4zMSgZXWhRG8Y4pga1bLNYJJopWsqX3hllSt3ugz8kJfONTi9XOON2x06g4Bm1WF9dzhd78MoRVEVgiDBmqRffv31bTw/Yb7u0h+FbLbGCCHQNYUsybm20UFXpanyZy8vcjAIcExpUtL3QuI0J8tzdHXCx0hzKgWTUsHi5NL988Jys8TP/PhpDE1l92BMngsqBQtNUwjijOW5At4kXeRovybPBW/cPmC/IxMy0iyn1Q0AhSQV7B6Meenc/NRQKk4ygsN5YhjSHcqfBbnWXjxV56AfyDRSQ2N9dzjtYZi6zld++jkG45hKwXzqJOAZni20e5K3CpJntnMwflvTkY8abEvni6+u8tZdafT84tnm2z/pI4Z66WEOhf0M9hMPkwEPkfPs1QGKrsnaYplxmFIrmc9kQs3BIJieq4IwZbvtTbm37wTvqoPzL//lv6RcLvMf/+N/pNFocPny5eljn/zkJ4+JJp6E3d1d5ufn0XV5GYqisLS0xO7u7jERx4svvshv//Zv85WvfAXTNPm93/s9tre3Abh8+TK//du/zcHBAY1Gg9/5nd9hPB7T7/e5desWi4uL/Nqv/RpvvvkmtVqNv//3//5Tp4Q8CkmScPXq1Xf9/A8CW52IvW5CmuUULI2iq9EsG5QcOeHc2Qu5fW9Mkgr8KGeuqmPrKoNBgkZKmEAUg6ZCHPp4YUYQRtiGgqmqNNwMocg4RyGAPOGgmzAeeYSRQBE5Ihf4UUiWKXQHI8gMGgWV55cEQX+b3f0ewcRFXwjod7vE/pBqUSOIBImhEKUCx1TY3OxTdDRu0pn+jW/sJRwME8ZhTsGWf9dCzSAb705/5nGZK94YrnelIGccySmsYGuMw4ztTiydCjSFubKOY2sY2vEJot+C9f2QOBF0RilhnKMkfUxdJR7tUS3MXPBneDTEAzbbR79sVGSD1DJ1zlZdTi2VafcCbmz2WN8ZUnQNlptF7u4MuXiqjmmoeH7CW3c6ZHnOicUyr16Y487OkL3OmKJj0O4F+EGCqasoikKa5pxcrPAzP3aK3//2JnGSYZkaUZxz416PasHicy8toarKsQjjl8/P0ajKJIm5qjy0eH7Cn7yxw63NHt1hyMCLqRZt0jTnx15cJkokSaM3jNg58FAUZUKIgINBSJbnBGFKnkOtbLG2UObzL69wcrFMmuXc2xsRJSmIOYqOTsE1KToG373W4o1bbVRFobxqMg4TLEMjSQWWo3HxZB33EUIqIQT39ka8dbfDnZ0+5YKFrqkIITAmxaDBOOKtOx2W5wrHDmeOpXNhrUa7H2AZGs2qw0E/mD4+DpOHft/uwZjN/REA+z2fF043pqr9vc5YuqVMPvdHOXtapkZnGGKbMpq2UpSEut4o5NZmHyGgMCHQzxoyHw1UirZ0fxNg21Jgs9sZc3dnQJxk3N7uEyfSufLkcpmXzs4x8CJ0TWXgRSQTl4lmxaXkGux2xlPXqVbX5+VzTTqDgK22B5PP//LZBv1hRBRn5CLHDxK+d71NnOTM1VzSTGDbOjVLAxTpRAFcPtvENDQcU+PsapX5I82TLMsZjmPWFsqoikJ/FHF+rUoQZigK7Hekg2h/KKNPVUXh5fMNvvTJNb791i5FWxJGq2VnWjA1dW0y12QEUUJvFJGmOTudMWsLJTRVulaN/ftjSSbtyDnIsXVW54vUSta0iOTaOhdO1B66/zVNlUJMRYpTPD9BURT2u2OiJKMzCFlbLLFQd6mWLLmZVqSLURil3NsfyiKsghSxuiYIIWPONVkQF+I4KeUwFvaQOBLGKa/fOkBV4LlTjWnz5SgW6i7zdUcWehTplvcgPD8myXLKBesYqU0Iwb19GftecAxOL1eOPT7DRxv7nTHDSXFm6MUkyZPFGyqga5KsnecT0rYQuLaGJrUcbLS8qRtcfRwfK/Z0BsHUGert3O7zXNDq+eRCMFd1ZSJWmnPlbodrGz2WGg6WKcWN79aVeoYZZngYfpgQxRmlgimdHo+cEQ4J0Pu9gN4wIIqzR4o3plAgSgTjKEXRVL692SLLcwxdIYwEui7wQ+lo6Vo6V+4coGsay3OFH1rAAbKBmwvBaBxTLpg0Kg7D8RHrBCGOnYkePB/9MGhUHD79/AJxklNyjXeU+DPDDB8kDvfb4zChYOnUyjIpT1GkY+ZgHGOmGppr0fcCBAoqYBrqxPk1YqHm4lgaQZSiKgonF0rUSzaWrrE6X+LEYonuUCbe3Njs0R2ECAEmKlfuHuDaJpqmYOoqB4OQPBcoKhRcE9c1MFSVq+s9hl4kCSBli9OrFVlDMDTu7AymRH7XDgGFNM+JohTL1Di3WkVRZFPKmjQ/RuOYKMmmDUgvSPjBzQNpHmHrXDpVn47bM6tV/u8/+8Kx8fzcKblf7gyCaSrvYBxxMAim8+Z+1+f1WweATCM+d6JKdWJEsdP22GpJJ8+5mnOsiJ5lOa1egKLAXNXhuZOPdqzKspy7O0PGYUK9bE/TBR7Ek2o/j/rZdl+SZppVh3MnqnQn4vP3UpD7w6DoGsecApvVmYnEO0E+2e4XHYPBOAZFIUpStDSn4NigwGs32gzHMWGUSodcQEGgayqnVyrc2OhhaAq5ELS6Pt+73qLkWJxeqXBioTQ9m9fLNp94bo4La3V6o5DdgzFZmhPFGe1+QJjkFCwdTVWxDJ0/95k1dg/GUwHG9oGHrkqioOsYKMBex5/U/SK22h4K0Or6nFws4QUJfhTTHUQs1F2Krsnp5TKapkxTcA7ra+Mg4c72gChO2Wp5FCZOoIv1Arqu4trybBvGqTRTQdYRS66JH6bs93zCMMW1DWzTYG2hTGMivvpho+pnmGGGZwu3twcAU9f+GSTOrlSxTI2RH7PZGj1zRKAZnj0kac7Vu92pkCCMMs6sVOT31ztstzy6w4jV+QKOZeA/oo92FId75kbVZn8iiC44xoScrTMc33/+ra0+lZJFuxewuT+iVDAZBQlv3O5IQbmisHMwptsPuL0zwDJUUFTKRQNVUdA1la09j72eR55BFKWEaYpfMKhXXJ6r16jsDAmilGbF5tLpOs1qgbMrVWpFi2y9RxAljMKYy2caHAwCvCCVfZmqjWmozNcqtLoB/SSkUrJYrheYr7s4thRYW4ZGECZ87dubGIbKXFX2K86fqKJr6v3eBbKH+mAfJIzSiSFYRpoJrq53KdgGg1HMyvxxEm/+mAPJ0c8kywRRnGLos4SjDxOb+yNubfZxbZ1PXFzA1KXZ2Ou32vSHEbal89K5Jlku6AxCSq5BuWgShOrE8EmnXrLZbo1wJ+Pn088vEIQJ3UGIF6SoKlQKCrWSSZq5pGnOQV+e61HkucU0dXrDkPE44m4QU3INvv6DHTb3R7x0bo6lZkGe7Y/cWg/eZodCIvmgFH25tsF3r+3z2o02WSaYqzlcOlWf7uXTTHBjo4emqWiqMhGPaxQdE1UFFAVFUSg8os/x4H3+XtYc38/XnGGG9xp5LhiMpTnsYXLkXmfMjY0ecZrTGQSszhdYmSujaVJk1ereN7H2/HTKoVEVhYJtcm6lzI6lU3INTi+X+b2v32U0MZJ5/nSD00dc0x1Lp1EaEcUp1ZJFuJHiT4xl1xaKbLVGbO+PqJdtvvTJVU4tVQijjEbVZnNPZThOEEJQLJj871+/y92dIYoCr5yf59RymYXJ/CCQKT5ZJtA0hedP1ikXLfJcUHAMdE3lrTsd8lyw3Cxwb380FUgeDAJKrjmdNxxLP5bgexRCSGNNb+Lan+Y5rqXhRxmqAvO1Ai+ea0ijWktna9+bijgAxkE65QhlmTTxPNynJ2nOdtubXlejYqNpKrahTWuktzZ7DH2ZBPookd9RJGmO58fYlv6epZ/P8P7jWVxa4iRjfW+EyAVBmLDV9h5K6v2ow7Ye3vOa5rM3bh68fZI4euTPfZThWDKVSCCIU/FMGue/V+P4Xd2B3/zmN/kn/+SfsLCwQJYdJ7LNzc3Raj2OPv8wHiywP2rz+3M/93Nsb2/zi7/4iziOw4//+I/zp3/6pwB89rOf5Zd+6Zf423/7b6PrOj/1Uz8FgK7rpGnK97//fX71V3+VX//1X+eP//iP+Tt/5+/wta99bSoceacwDINz5869q+e+34iTjJ3OmPbmHqar0u/5DBN4aaGO6picPddgvxtQCAaoxj55nqJoGblisdWLMDSLXMkQ5Bi6VOu6rkNr6JGjEKVQiXVs06ZSMEiEJHAmcU4mpLOLmUvH/c4owjLUKUFbVRVqtQJ2qYJWsLl4VsO/dkCcyPSB586soOka4yDm+fNlLp6so6kwDmUju1q8r7babo95fWdXniUtwZnTdRmL6r6zgXxra0AwIdEVag5alKI4CWGcst328RUby7I4tVZ9aJOzfCLmzs6AihcTRhnzNQdVVXj+VO2h9JP3C2mW0xtJAnCtZH0gv3MGfigR18pckZGfkKY55YI5daAHOL1coVq0yIWgVrJRJlGh+YSl5fkJUSwJEZqq8PzpBl//wTb5xH2jNwz5g+9ucW61SpblXL/Xp1wwqJctup5sEj9/soYfpbx6cYFywZTOllHKaBzj2Do5Ak1V+NTzCwRRQqsbsNQscO5EldE4RtdU8lyQ5zn//r9eZbs9pjMIyEWOIhRGfgSK4K07bTRVpd0P6Axk7KGiKaRJhm4o3N4OKDomCtLVo9Uds9/zURTBKxfm0FSF3ijEiFRsU+PCyfrU6cOfNGyH45ir6x2GXoxlaSw0XBbrBUxdY+BFx95bkKkY+12f7iAgSQUDL8LQZWFU11U2docYhspys8id7QEl1zzm3FspSlcckOtUwTEYB7LAeXT8HTbJd9pjXEtH11UQkqByeEA7jIAF6AxCVubTY0kdw3HMXsenYOlEScbqfHH6+O7BeLoBGAcJg3F0LB3lUciynM7EiahetmeN7fcJmiqbCoam4oUJm/seg1FMux9QsDW29j1cR8cLYu7tjwhDSc64eKpBLgTdYcCpJVkwyYUkSjiWdLLd7/j892/fIwhlMod0c6qTZoJmzebuzlAKN22dgmPSH3n0RzLlZrFeYHmuQME2WFssMV9zubbRJU5yiq5B4wgBJ5u4SbS6AYNxRKVgoarStebkUpmdtsd228PQVMIkxVZ0LEtloVbg1mafP31rnzTL0VSFoqvz6sVFgMn6WGf3YMxWa0SlYBFEGbqisNUa06zanF+rUnBM5q/sSQIVcG5CEtdUWWhanivSH0VkeU61ZD9SwKSpCj/24hKv3zwABZ5bq2KZOkmaT8f0dttjsVHg/IkqQZSiaSqWodHuBdNCiecnXFnv0hmGUgC3VEZVFfY6Y86uVOgMQsaBFJE9SK76/W/dmzZYdg7G/PTnTj10naqq8uc+vUZ3GGKb+rSQdoijYq8HBVsH/XDayIpiSaR7HIHsURh4Mra9UjQfSgma4f1HuWiitiFOZCyvbsgGy+OQI1P2QCZvCCH/r0+IUaamkGc53mRNGvnxlFh3SFbMheD6Ro+LJ2uPTdEApjGPAJ1+yAtnGnzjjR1ubfZp9wN22h6ffmGR0SMiRmeYYYZ3h+4w5NZWH4R0xDp7okpvGDIcR2S5oOSYDL2I7igiinPSXKA8oRiU5jLB7d7+iNNLFcZ+gqopCBQUVTY6dV1lteni+Qm9UUzRMbizPaBcMN+T2OaFunvMXXOpWWDoSfL2QsNFVdXp2eK9dM6GwyS99/QlZ5jhPUelYLHZGhFGGZap4jg6WS7JzgXXwDZVgiilUbOolatstjw0VSGME/qeNB7pezHNis1Sw0XT5H4iiFKSiUBE1+TZFuD8apX9jk+eg21pZKkUbVqmPDvnuUz4tEyd+aqDacj9YWcQoCgKQsBOZ0zBlXW5LA/55hv+tGF6Z6vPuRM1io5JmuaEE0GKwvEkCd1QWZzMDYoClinrCyDdibrD6JhL5uPG8/ZE1A4gcsF83ZU1DUvHNO6Lt7rDkCBKp/W8o+fwdi9gdb44nfOubfSmzdjuMDyWmhGnObe3ehiaiqYpdIcyBXH3YEzBMR6qPYAknVeKJhu7I0xT5bmTj3ftX98d0u5Jk4hWz+fy2eYjX/PDhK6pXDrTmNZRDmsjMzwdGhWb3Y7Ht97qsbXvScfcXJAp0mF5+2BMkshztBck6KoURRVcg0bZod33ESLHMKRJQS4U8lwQpTIhpVwwUdUS/VGErmucWqqy2CjQ6vkUHZNREONHCa6p4U8MBqIkpegaE4Kgyf/83jamoaKpqvxe0ZI1PE0mAN2412N9b0BxIgC7sz0gjGVKyMjvYZuydjHyYyxDpgh7foJj6yRpxl5nTHcQMRxH+GE6dZfe7YxplJ2psc1h/evoOdXzY67c7ZClOfsTYdih+CkTgs88vzirc80ww8cMd2YijkfC0FUunqzxg5sHvHnrYCbi+Jgjm7hBv9drpCSOB2iqTCQ/mgQxOrKfDqOMgm1Io7dRhGMZVI/sIfe7PmkmhaaWqVEpmtM+29pCiSyTCdunlyuSe6Cr90WiyH7B0ItJ0hxFUegPI3RdpT8KuXHPxwukKNQxNVnvFzLp1DEMqkWNnhfiRykih3EYowhQhCSQ26bGnR2ZEiKFGTIhYBwknFoosrU3JIgSXNtg7Cf88evbnF+V+69cgGvpRHFGmGTYtoYRajiayssX5rm93WfnYMyJ+RKZEOz3AnYOfAxd4dXn5P5nHKYUHYPzE3G3oigPcQDiJOOtu50JcVXFj2LyCam/OwzJESw3iyhIYupC/dHi8FrJZn9C3LVMbUb4/JDRG4b80Wtb0x5wkub8xCsr7HfGvH7jAC9IMAxpYubauvysc5ivOvLfQjrmh2lG1Ta5tzskTDIUFA76AUkmUBSBoSkYmsLdXQ+BoO8lU/MIULBMmQQqU10ysjxHCDnOhkFCGGcULINTK2UWmy57Bz6KwkPrTrVkTY1dNE2Z9sCubfQYjWVtI0kzPvX8wsSkIiNKUtYWSoRxxjhI6HkRtqlTLVo4lk6ew9nVCi9feDgNfHW+xI2gR5rlVEsW1feBO3OM51E037Y/P8MMHzTyXIr6DjksqwtFlptFbm8PSNKcNJUGx7e3hqzMyTErBKzMFdhqSQ5KpWCwvhuQ5VIctXMwJsuZ1vvv7gxZqLsoBMxXHSpFk4EXkWWCZtXhj17bYqvlEUQpfS9CU1VKroVpqOx3fdr9AD9M6QxDMiE4MV9CQQEBJdeg6BgkaU7VNXnjTme6l3ntRotza1VaXVnTXKi7aKpKlmVoqkKpYLK2WCJJc2xT5ztX99lqjRAC9ruyhsekXlkr2SzPF2n3JBfjkxcXHnove6OQJMmpFE3SLJemHEjzl09eLLPbGWNqKp99cQlD16iVZI1xea7AyJd7lHLBpFmxORjIWqJtaVhH6h2GrnL5bIOBF085YG/cOpim6iVpxu0tefa5ca/HX/j86ccaccVJxlt3OpO9EZw7UX1Hc1SSZvSGEYahzua29xnNqvNEnsmzgHGQcGerz8CLUSem6M+aiMP3vIe+F8YC952Hcn+k0Ok/exyOMErRNY1swoEJk+ztn/QRQ7Nic9APGAcyyXqp8e7G9bs6jUVRRKXy6AJZEARPXRRYWlpib2+PNE3RdRknvre3x9LS0rGfUxSFX/mVX+FXfuVXAPi93/s9zp49O338K1/5Cl/5ylcA+P73v8/i4iLFYpHl5WUWFhb43Oc+B8BP/uRPkiQJe3t7x5I+3gkURcH9CI7aJM35n69tsNf1uLk5oFywGEwatz0vw49jeuOMgZ+T5gpRIhfvg0HI0I8ZhykF25i47wlKRZskzRkHGbqqyIES5+x3Aioli3rFoV5RGfkJfpwQhCnlooEQUKs6rC6UOb1UZBymOI7OvZ0RfpSzse+TZCqfe3EVQ5dEbITALdjcuNejUXZY3wuoVxMunW7wqDZnfzzE0CUZ2gAEGm7BZfvAI5uQWrJcECYpmqJKcvcDAyROMsJEwbLkAW4U5NRKLnEW0h0ldEcxWQ5BLFieEzRqxz9z13WZb1bIc+lkGkQplckBcqftTRIVNM6sVI4Rwd8rZLng1p2DaWRjKrRZUfYZgGsbvHJ+buKG+/B98aB6WtdVbEun6BqykaurrE4cVCxDY67mstOW0X1ZJhvAaZbLQ1WW4fkCoSgULINGxcYyNf74tS05bqOEuYrDbsfHtnSWmyXyXB7ugiil5Jo4loE6OSxkec52y8OeqOw7AykKcG0Dz49Zni+w3/XxgoTXrrcJ45RK0aToSKW3EDlDD0ZBTBxnDPII19JRhECg4DgGWy2PO1sDLp1p8OLZJp1ByN2dAa/fbLPQcKfEUpBO9wMvRFVVul6EikwMOLlYfiRBotMPuLnZky6EuUB3DM6sVKcHnSwXOBNFuxBSJPW4sasoChdP1jgYhCgKNCeugnGSTVMysjzn3v4IXVfIM3Es6UDX1KkAUlFkwfkoBl4k0xws6cgTHlHr6w84Chtv4zAshODaRm96WB9U41mD632CaWjM11ySNGO0NcDzY7JMEEYJc1UbAYz8lDhJEUC7L50sm1WHaskmnTQgVEW67OZZRncUowC5yHEsne9ea3HQD9B1hT96zWeuJt2ZVuaLJEmKY5nsTdZCTVMo2AZhlFKbCB6aVQfb0nn5/BxplhPGGbe3+hiTuWU4jrm23iXNpLvnoBhxdrVKlguiOONgEBInGbapowC2qdGoyALN7e3BtGmT5YKdA59Xj7w/t7f6vH7rgP2uPy2mdPohF9bkOnl9o0e9bPMXfuIMQZCQiZzuQDr/VksWpYlQ88HCq+fH3N0dIoTgxEKJWslmdb7EYqOAgkzmSNL8mADqcBwpinIsitSxNNYWynh+TG8kC+DdUchuezxd56slC01TeeFMgySVpJaj+14/TI/NVe1eQJ7nqOrDY1VVVZrVR+8p94+4noyDhHGYUJrMV8kDAuqjzbK3Q6vns74znL4PL5xtTN2RZ/hg0Kw6KIpCbxjiR3IPKYR4KO7yUZjwO9E0mXCjWgplxyTL5X2wc3A8mrHvTcREbQ8/lL/HCxIurD2aSDiY/HxvFHJ3Wwqmtloe+sTZJkoygjBh+SkKSht7Q3rDENc2OLNSeWj9mmGGGSTaPX86+KMkI4xSXrkwx+WzjYnBhcJ//J83ieOENBdTN+8nIclg5MW0ur50zULOMZapoSoKaS5oD2IWGw6OJdcA2Ti9f0bJc8HG3pCBF1F0Tc5MiBPvBrap89L55rGkvyTN0FR1lig3w8cSW60RqiLQdFARbLfGMtEPGPkRfijTNHvDGNc1ObFQnDRYB1LsAYhMkKYZtbKNqigMvXiaMtEdhiRpxmbLk1HUCyV++nOnCJOUMMr41lt70/1rnuU0aw66pqEAS3MFVEXBNDTWdweMgwShgKHI9EBFkfXB4ThC0+R41g2VU0sVBFJQvdwssrnvoSoy1VMghccl1+TV5+bRNDn2N3aHxxIudf3p5gO5p5D7YcfSKdgyLcDUVQq2wV5nTC4E1ZLFzXs9tloj5usFecaZzLnNqnzfQO6htluefAzZlH7uZB1NVcjznP/+zfVpGqBhqJxeur/Xih/TUEiznDDKKLmypuIFyWOFD4cJbfL1csIofUjg/VGAoauzBI53CVVVqJVsdENF16TYMhMycW/sx+y0PUq2gaIqOJY8Y0dJBkIw9CK8MEVBkOT5VFRhGjJ9sjwR5tfLUtRVL9vEScb/8f0t1neHlFyTm1t9dtpjVEWhOEnXKNgmYZTy9Td2+N6VffrjCMfUKRcs5usOzYrN2TMNrtztst0eS1dfTcM2NVRVij1OzBWJUplqa5s6u50xlqGh6yppLrh4sj4VlW+1RgSRTPeMJ+KQcsEkTjO0SbNXVZXpuDzEVmvEW3c6HPRDlhoup5cr7HfGXDrdIJtsiiozY6MZZvhYIUmzafr1rMb9MF46N8cPbh7w/Ztt/uJPnPmwL2eGDwFCCG5uSpMWQ5di4qP17x/2ta9vdPEmadqVoinX/Ykp0uGZRp+s7balc2KhhGsbXFirTR8/mmJvGioX1u6n54EUOctUALh+r8dc1eb7Nw5AyNeuFG1ePNdgpz3GsTQMXeWwsJqLnCwX5OSyDhomaJN+S9HRKBR05mouuwdjBp7scTqmQaVkUilZLFRcLFtnt+MRRilJmk1Tv1AEd/dGjIKEOM3Jg0T2EXWNu7tDTF2KIHJT0OoHDLyY5WZRilvHMeu7A3YmqWZv3jnAMlSEqpAlgnGYEKcZz52s89K5JiB7F4eJZg9iHCRTQYuqKPhhSqvnE0QpYZRi6ArLzQJnVqo0Ko83dju5JA0ykzSfun/P8OGhP0nCPPo1QHsQsD85rxLCvf0RS02ZcIOQiZrnVqtoujRN8ydCi1bPR6AQJyl+mE3O3ArjSNDuh6SZj4Iix0wuq4eWLpM4/VCgKBMiXSzw/Bg/TJivu7x+64BGxWan43F2pcKf+8xJNFV56P5ZbBQmCVERYz+lNwwlX0eRxodhnKIA19c7nF2VhqqGrnLQDxFCMBzH1CsWSSLJzJ9/aZk4zfnxF5fQH8GxKDoGr1x4PAfjvcDb8TxmmOHDhh+lU04IyBTN5WYRU5fmjEJAFufTngDIs/jPf/kCr11tkeQ5jbLJ//af35qk30DyQA/6XmvEt97cI8sFV9Y7FIsmQZASxBmmoXJ7p89gUkczdZVm2WTgpxNRQs5+L5Bi00kyVhhlJGmOOzGqrJXtyVwox/7ReTFJcuYmvL2BF3NysSQ5EaqCY+sYujYdmxt7Q6KJQ14Qp9SKFr2RrG2eP1Fhec4hiVMakwStm5uST1Mt2SgIXr/VIctymhWHZtWZ9jGaVYc/8+oqnWGIZWrMPdDnd22Dl4/ME0IIykWLNMtpVBy0B/ohhq5N62339oZTw5s8F9zc6NH1IrI0x7UNDnrBY0Uc/VE0NaoUQvITnlaMkWY5V+50pwm8K/NFVuaKb/Os++gNQ+7tj1BVhdPLlWfSRf+DhK6pXDpdJ83yh3gmzwriJGVjd4gXJCiKQqXw0atlvx2E8jBd3tSf/b1w8AwKIKIkkzzXLCfNxHQuepbwJP7YO8G7EnGcPn2ab3zjG3z+859/6LFvf/vbXLhw4alep9FocOnSJX7nd36Hv/pX/yr/9b/+V1ZWVh4SWERRRBRFlMtlut0u//bf/lt+9Vd/dfp4q9Vifn6eIAj4V//qX/HLv/zLAFy+fJlisci1a9e4ePEib7zxBgALCw8rKT9IREnG7sEYBanEfDeb/DjJuLnZxw8T2QiauMFpikIY5/Q8DxXpHp+m0onv+zfahFFGfxwRJRlRlE6Jf5qiTFMxoiBn5CXUyhbn1qp89609klyQ5SAUSFNJ7jy1UqZoGwSTQoWCQr1s8cKpOs26Q7VgMxzHjMMYL0gwTZ3hOMaxQn7mx0+hqyp+lNCs2Ox3A7qVcErw2mmPjznfHUWz6vDa9RZRkmHoKoah8sYt6fy/vjdEU2TcepRknF6ucG9vRLlgHitUadpx1w7T0FhbLJFmORt7OY6pY5k6YZwxCh6tVNNUmSJw1KF/5N9vnEdJxr29EedOVI89zw9T/uA79+h5EYv1Al96dVW69b8DyELM/YmrOwhnIo5nBKqqoKpPN+bPrlS4sz3g9FKFRtVmoe4emy/On6iytT+SyQ8HHrqucmuzixAKiiJIM4EfTVIehOD7N9oszxVp9wPCCSF5db5ILgRxkrHdHvFH39/izHJFkjgUwU57jOfHVIomYZyRZDmVokWWCyxDJYjk4cLUNaI4J04z+sMIVVMIwhTD0GhWHOYbRe5uD0kySUYPo4xq0ZrEOSo0K45MH+iOuXSmgaIox0jX+x2fuZrD+u6ArbbHQS9goeGiKAreOKYzCDANnXGQ8IVXV469j36Y0B1F9L2IXEgC29mVCpdO18kyQW8UcnLpvgtwtWS9reOMpqlTx4EwSieF8XA6rmslm+4gxLVMCo5Bq+uzUHdxLJ2zq1Xu7gzIM8HqQlEWmY/gwYNN4cjXJ5fKZNmAKEmZr7lvS+6IJm4lh+gOw1mD631Co+Kw1CjSGQa4liRURHHCyD8kaUOUJCRpjmPoaKoiHTMVKaCoFE08P5H3eMtjHKYYmiIjw00D01AJwkSSGgRkQpmmOCzVCxi6whu3O7x2Q7rNPrdWZW2xzMnFEt1hxELDna6DctOocH2jJ4uzQrDd9rAMjXEgE39MQyNOcwq2QbPqUHR1io5BZso0ES9IsE2Ng0HAlfXuRKwlCKIM19aPOWsHUcJ3r7cmjRRBty9jnhUVel7Mfi9g4EXM1VwsQ+WFM03KBZOXzpXJhXS/etxG9+Zmf1qUuL014BMXTOlGfKRgbOgqZ1YqbO17ZEIQJznfvrJHrWxzdqUyfe2ia3J6pUyr67PVGqFpGkmWkQlBJnLEAxT7B/dvSZrJz3ws01YAnjtZfaSA4+1gmdq0uKQoHBOVNSoO+x2fJM3RNIX52tOLiw+dg0EWZYZefMzxeIb3H36YUi5YUtCkyKJlmgmOqjhUZALHoyCQAqAkExQ1nVY/QFUUlufqlF2TnYMRG3tDVEW6ZqVZjh+m0vHa0OiPoqmLy4MoOiYHfZ92L0DXVKI4m/5ss+qQZDnn12qceBvn/M4gmKbFxEnEdsvj5FM4cAy8iNvbA/JcirKOOvnP8KOF4Tjm1lafPBeszhcfEtx/nPCgaNiarHmqonBza8D67oA0zUhSQf6UcaxSAArtvk/RNVhqFGj3IJ2s+aausdxweOFcU64lpvrQ/rfV86fO8HJPq7P8Dgr3D12TohxbN2eNzhk+zhiMIlrdkCTL0VWFJV3D0GxQ5FoohEouBAhJ8PYDBVVVadRsBsOYNMuxbWkakmbS/OFoA3DoRfzeN+4CoClyH3zxdJ2KsOiNQoquRrsb4tg65aJBkuVkmWCh7vLSuSZ5LhM0rt494Ma93tSRT1EUhl6E68jnRImclEqKQWcYTkXH9bJ9f15X4PKZxtQo4uicN1ez+eabOwy8mHOrVTw/4damFJifP1E7dg4+ijPLlYmDYEal6CImyZemoRLGKVGSkWeCVuzznSv7ZLlAvdNhsVnAMuSZJcvF9AygKgp97/4eue9FHL6bIz+ZCjgA/EA2nfNcYBkajcqjm6HjICFKsimJpTsIH9v8LDjGtDGhacoxR74ZfnSgqQoFU6M3CjnkP0yO9li6imlqMnnW0hh4Id1RRJblCMA1dUxDo+AaVMsWtYLFcJywUHdZXSihKnB3e0guBINxzNDv8dbtA5JU0B2GlBwdRZEOjqgKtiHFGDe3Bgy9kPHEiODQJfLUUpk0ExPH6Zi9joeCwpmVCkMvpmDrLM+VWGq63NsfsVh3Gfkx4yChXrZxLYOhJ+eqzjCcnkcAFmouApivu+S5YKlZmBDGpOv2UeJXlGTstMfYpoZA0OoFnHHNaR1MUyVh88FjTavrS/KAIq/5/XDgnWGGGT48bOyOZGKhazA3Exc+hFcuzPHv/stVXr91QJblM0L2xxD9UTQ1GEpSac7yODOXd4o4zacCDpC1nSwXvHa9hWNp/C+LpwFZu/aChN4wpFoqPGTu4h3puSuKNJ08iqP1az9I+G/XW1M3/2bF4QufWKHV8zF0FS2H50/VaVQdPF/W5Df2Rli6hpclOJaGgo5rGwRRhqlruKZOwTEoF0yEgIKjcP6EJJAnaU4QpSgTArlQFCoFHUWFzT2Pq+tdLEPWbcJIJhCqBqRpjsgFtqURxynreyPSPMfSNV46P8eppTI9L6RatOiOQva7PgqyxmsZCpmQe6/uICJKUuy36U86tj49lwC4thSQhHGGoWvouoaCciyxGWQv88ZmjyjOaFYdTi9XHisUmeGDx0K9cKwvdGjqWLBlnzmMUnRdpVI0KdgGnX5IuWiS5YJK0cI0NMIoYzfJZFJNJtBUee4AEBNXfZD3ghDyMUVREIoUckSx4ObmkFLBRJ+k9J1YLDH20+lz4yQjywRDL+aN2x0WGkVeOtfgUZW+gmPyR9/bnib1vHxhjrPLFbq9gJ4QaKoqTSO1EctzRS6dqvOtK3tst8Y0qjafe2GRm1vSQE5VVUqu/kgBxyHeCQfj3eLtfocXJNza7JGkOStzxR+qnjrDDO8Upq5OxIfya2uStntysUStaDEYJ5QKBs+frElB4zji0uk6c1WXy+ebU8PnSsGU+wlFYanustQs0BkE2Jbk4uS5IM0yVHS++cYOawuSe/Lmnc6EHyhrAKpjkAuZEKagoasKQojpfJKmGeNQptsIBPWyBejkmaBesSk6Jt+6uoemqnzp1VXSNKfvRdimxkKjwF5nTLsX0KzazD2wnpVcYzqf2obkM6zvDDF0DVXJ2e0EJGlOqxcQp2La92x1fa5vdFnfHZBkgmbZplK0ePNOB4DPXl7EsQ1WJ5yLPBfc2urT9yIKE+GqoavTeUJRlKc2RXnIYFZl+jd4QXwsgfjtnmuZTz8XHtYxD/GkOuaDSLOcW1v96T13e7P/yLSkGY7jwX7Zs4YoyTmYiJY1TaEzePb6+WGaPPy9OKHIs11HrBWfPUFNlgu6g4AwySi59w1/nkX8sOP6XXWGfuEXfoF//s//OfPz8/zsz/4sAEmS8NWvfpV//+//Pf/4H//jp36tf/pP/yn/4B/8A/7Nv/k3FAoF/sW/+BcA/MN/+A/58pe/zJ/9s3+W0WjEL/7iL6JpGlmW8Tf/5t/ky1/+8vQ1/tbf+lvkeU6SJPzlv/yX+cVf/EVATny/8Ru/wT/6R/+IKIqwLIvf/M3fxDA+POWfEIJrd++rGEd+zOWzzXf8Otttb0rM7Q5DSgVjooQVGIY2UaoaqIqCbeqSDKIqbLZGiFyQJDlFx6QzlE4ThqHimjq5ACEUTEPF0KXD3PrWgINhSKbm5LmMXC84RZIkR0HFsnSyXFAtWuz1fG5uDRhHKZ/4yXnu7g5RVYWCa2IZKiXXnDiGabx47v7fXSpY3N0ZTJqvMQNP583bB5xZqTzkElIpWjSrDq2eT5LktLo+3VHEcqNAnGRoioKuqzKZIBOoujIleB5CUxUurNXY2vdQVNkoMg2Ni6fquLbO67cOCKIU15bR9be2+ly528EyND53eZFK8dGN2vSB3/Pg7wV4/VZ72gTe64y5fq/HC2ceLVh5HCxDe6BAM2vy/ijCtY3Hzg8jP2b3YMyZlQp+kJCLAre2+nh+LJXruhxviiKFRiM/Ic0E+52xJItoKpoKKCp5nNIZhJiGRhBmXLnb5bmTdXYOPDb3RsRJRmco0zxcQ8cyNP78Z9e4tt7FMnWaFZsgzrDMkWwyK3KhzUWOqupUSxY/9emTbJ3yeP3mAVv7IwwtpjMMSZJsElEcsjpfeqIY6cxKhVubfbrDEMdQub09oFa06I8kkb1UkAr6m/d6fOaF+4lOQZRiaCqnFsvsdcaUCibNqkvJNakUrSmx1A8TslxQdGQqUZSkWIb2ts2Oe/sjgiiVpPc4xwsSio7BYqNwjHhyKJorOgYvHvlcs1ywtT8iiFPmqg6NisPZ1QrDcUzRMY8d7CxD4/nT9Sdez1EYhoau3Y+1nsUhv3+YOl0rcu4f+QFJmpIK2O8FCCEo2AYIhSRJUVUo2yZFVyeIEi6erHNl1GGz5SEE5HlOrml86vlFBl6Eqqg0KjatXiCV+bpCoyxdlBTkelJyTaolS4qgOj7nTtSmwsLtlodr6dPEnzjJpmvIwSBkNI5ZXSiSixxN01mZL9CsOszVHC6daVB0DEoFi4NewPrugPmaTLnqDgP2DnxOLpbQNZVm1aRSMI+Rr7NcTMnplq5RckxOL1dovbVHFKVst8coCtRKOTttD8vQWWwUppHpRxElGVmWT/cGR1Mo8lwWfoajkHu7I1BkdOOh0FIgaPd8bFPDsQy6g5BayTrWqFhuymhZ09C4ca/HYBRxYq7ExZP1hwRXRxFEKVfvdgkn8bAFR0fX1Hcl4ABJTlvfHZJmuXQsOlJ8sSZ7KD9MJ25j8rGdtsfQjykXTJabjy6uuJZ+3+1XkQ2fGT5Y9IYhvWFINonfVVUmoqlMjhNF7svl+vjw8zUVRC5Ik5R+mk/dbncOfHRNYXPfY77mkiMgFpxcKjEcRziW3H/blvZY5/vza1WEEPS9mHpZziWXzjTIspwkzXn+VP2h1LBH4TBZ6BAPOvU8Dnd3BtO99MbekFrJemKiXWcQsLk/QlNVTi+XP5Ku1TM8Gne373/W9/ZG1Mv2+5Je+CxgbaGEEHIdaVYdSq5Jq+vzg5ttSb4YR8SZmDTjU95uOB2uOjlMUn4UcgHLcyX2umPyPGd5vkB54sKkKAq1ksW5E9VjgskHz7FPO45nmGGGt0ea5ygqkAoUVcG1dAquMTV6ubM9ROQAUrwVJRmKorBQd5mru4zGMctzLi+dn5eGDci6YBRnE9KRTMsFOcb3ez7/lz93gSTL2W2P+M9/JH82SjMcS2ex6pDngpJjUi870zPjzoE/FQsP/QQhFJIsQyBwLWNKLLIMnfmaK2tUQjAax9M53bEkYepR7r9v3OqQ51ByTbZaI5I0p1l1iJOc9d3hY+tktqVPH+sMZLPo8Fo8P8HQVYQGuweerBFqqhS29QJ+4mVp+JDnOV/7zibdUUijbLHYKEyJYdKpVv4uxzYwTY140jCdqzm8dK5JGGcUbP2xtQLb0o81zZ+05z69UsG2NJI0nxh3zMiWP4pYaBQma7gy1W5rqoqlKxQdE0NTJ+kbOfs9H2NylkySnCTLMU0NFYWFisvJ5TJnViqcP1FDUxW+d73FUsNlozVip+WR5oIkzVFVBcfWCGLpACZygToxiuhPEmCzXNAbRIhJsq+mqlMyRW8QYho6C3UpyrJMjZ/+7CkW6i53dgYMRhGfvDhPnEjzqM39kXSRTjKKriHTey0dP0jQNenw69g6pYLJS+cebuj/6Zu73NsfUXJNvvCJ5Wnaj2MZLDeLxEnK2mIJx9K5sy2TidYWZB1iqzWa1uJ2DsbSQALBnZ0Brz43/8F8yDPMMMMHgltbfQDOrhw/v8wgcXa1Ssk1GPkJN+7131EfYYYZ3g6Gph5L3oiTlLs7o2l69Lev7PGzP3kWgJOL5Yd6fUIItloeB/2A4TimVpL77sME7kO4lsFo4vq/1/W5ttHFmYhagyjlrQmJEmQayHMn79/ntZJNGKd0etLx39RVhAJhmJHmsj9jmTpnVsoYEx6BY+t8/pVlrt7t0todstQsomhSFCFTBOGrX1+nPQwZ+zFF16RUMMnznDjJSAUEUcblM3Uun2vyp2/sEkbSTXacp9ze7LPcLFAvW4zGCUMvRtNUCrZOlGSIyXU3Kw6moTIYx4/lIBzCNnUurFXZbnu4ts583aHVDSi5JiM/plKQ/ZAHz2H39kdTg8hDh+6Z4PWjA9fW+ZkfO8XG3oiCo3NqkgK5Mlfg/Ikqo7E0L7i4JoVLQZSQpHLvPRrHtPsBG3sjdE1lZa5IbxSSZrJnpuu5XDczWWfI8kkrQoDryGTOMErRVAUvSInSjMVakUwIdFXluVN1mUyDYHPfQ9cUWv2ALBN85+oeZdfg/CMEY/ud8VTAAXBne8Cl0/K1rm30aPcCBuOEakn2K99a75CmYtpfvLLe5YWzTTb3RigKnFh4srnURwHrOwPiiThtq+VRLVnvWSLSDDO8HUxD49xqld3OGF1TpxwYw9RZbBZZnNBT1vdG04TP6xs9Rn7M0EvIhaBWMllbKuPaIaqqcO5ElRMLpen4+86VfQSgaxo5sv8gDSsEjqVRKZhoiqxtubaObRmUhTStsi2d1fkiYZxh6iqNqkP1yJrn2DpBFMk6iKGwtlSmVrbRVIVS0eIHN1rsHIwxdZXPvLBIyTWn+5BWPzgmPHj+dIPbm9JIrOiY/OH3t6b1w2sb/WM8g7dud7i63p3WZrf2PUa+rK1utz3u7g1JJ2Y2P7jZ5i//xFnMiUii3Q+mAtpxkLBz4D2R7+QFCXe3B6iawtmVyrS2CzBXdbi12afdD5ivObx0fg7T6BFGqeQdPWEuqZYsTiyU6A7Dh8w23w7SWOzp6pgPIsvF8bSUWR/pY4GRH+OFCWGSomYK3UH49k/6iEEVD5MwDO3Z71M/aEr7LKDV9RmMY7I8J8uh3R3D2Y+nGOxdMbf++l//61y7do3f+I3fmIou/tpf+2sIIfiFX/gF/spf+StP/Vpnzpzht3/7tx/6/j/7Z/9s+u9ms8lXv/rVx77G7/7u7z72sRdffJH/8B/+w1Nfz/uNB6Nf/DCV5Ip3WHA8JF4eolF2ePFMk5ubPQqWjusY6JpCqWDSqMpCSKcfECcpUZxTL1vTQ50/ISp/4rkFvn+jRZKkxDFEUcq33tph4MfoqkogIMsywlwSweM4wzQ0qgUT01ClK0UOvVFIFKd8++o+laKFoavUStJx2DZ11h6xaZmvuXzhEyvc2uxzMNBYmS/ihyl3dx5u3PZHkWzEqiqjJCGMMuks7EUUHQNNVXFtfRoXe3TzdhQl15yQVTjmArLULDIcx/hhSsExcEyNP/juFkII4iTlP3zN43OXl1hbLD30uuWiRcExGAcJigJLzYddZdMHNi55/s43MoaucvFkjb2Oj66r7yjObIZnE0II7u2NGI5jXFunOwwRQhKs9rpjBl7MwItBCIolE5ELFusFNF0mxoz8BIRM5nAsHVWBcsHCtjQQ0B7KdI5232e+6jJfc7i63qXkmhi6Qn8U0RuFdIchYZzxV754jsVmgT95fZcoyUiSlEbFYbGhst0a44cJmqoxX3UIo4w/fWuXasnGtjQykTPwE/pDeaBzLY0wzvipz65xdrU6/ZtPLBT5w9e22G2N0QxVElOSjEbZkcR0IR2FbVOn6JoyZcNQH1Khlwsmhq5Oow7rZZszKxUqRYs8F2zsDfH8hErR5MRCiTjNuXq3Q5zkGLrK86frxw5Qj/psQBJkVueLzDdc5qoOUZxxZ2cAAspF87HRgZv7I1pd6Vg+9GIsU6dRcd4TBxxNVbh4qsZOe4ymKbO54n3EwcDnG69vs9fxCaKEtYUSKBrDfsjQOIywlPenaeooKNzdHtL3IixdY7s95vRyWTo+JRmuLcVEIz/m9HKFP/OpE+Qi53//Y+mqu1hzsC2DFdtgOI7R+/6ELCT3EyXXOJbCArIwcEjAdixdFkPCFD9MCKKE3faYLBcc9APqJYukYHJnu49haBQdg7MrVSxDo+AYbLc8bm7KwsHJF8vEqRQbnFouy2SeI3udomNy/kSVm5t9ygWTF842qBQtLp6qkWVSQOXHsrGhTMSnwEPX3+r5rO8OQUC9YnNutcryXJHtiVBlruagqSq3twbEiYw6v7XV56Vzc9zZlkLRMJJpQadXKgzHEVfudpmrOZxaKh8b5xfWahRsgyBK6HtSHKeqymPd4g/6UlyTI8ky5YJ05lAUuc6/UzGHaWhPdEnTNXUaQQ9M0kPk+zD0YgxNe2TCxup8STqFxXLOnkWafvCwLSnwkbG5KnmeY2gKo7FM7dF0Va5vj0mKzHK57miqgkKOYRhyDIcpX39jj1cu3BcJCmBlriTXzbZskiZpzq3NPqeWy8f2vyDvq4un6iiKdGpDkQ49j1qPbtzrEUQpZ1cqD4kn6mWbvc6YKM7kuHnKRI1jW2Jx3xnsUUjSfDquIef29oCXz388D/TPIrIHPtsHz7YfJ2iaeiwlLYxT1veGxGnOYBzJdS+XxAQtUAjDlDh7/PulqpMknxyyTBZTBff3ouWC3DMLZPMCYOjHD9Uj5mrOdM7QNfUdpT7NMMMMT4ZjGRQsA11TsXTpiK9OxuDaQpmCbdIdRriOxhs3OyRJDgrsdTzOrtQwdRUVWYPb6/qYusrnXlwiSXLCOCUIY753rcUoSNBUhdWFIl4QE0QZ260xhqaQHqbTCpl+leeCaskiyyQRSddUFKDvxcgdhcBXJfncz6FRcSlOyFbzVYdrG12G45hqyeLzLy3L5LDJ+XjgRYzDhGrxOHFhHN7f6wsh579D5JO0jCzLnyjyq5dtOqWQ/ijCMjRyct640ZmYM0iHTiEEqqJw6kgq2EE/lCR2YPfAp162ps52y83CdE40dZVPXVzg669vo2sqn7m0gGlobys8tCZ7+VbPx9Q15msON+71iJKMhZrL/JG9kaYq76ix+n7CD2Nubg6wDZ3za5V3LUif4WFoqkKQpDQrDqoS4oepTJc2ZS3A0GUNfzSOEDkkCAwNLFOl6Jg4lsap5RKVkk2lIAmAWZazvuux3/X51lu7CAGmodLq+pOUHoVq0cbQZbq2Y5nEiUzSTtKM8iQ5ByHrGYoCfhDT6vicXCpRLpkUhwYLdZdxmMjzo2vwp2/t4Vo6tqXjBSmmIR16V+eLHAxCXMfg3GqVq+td4iSTPQinSZLllFyTlfmH61LruwNubvYBiOKAb1/Z54uvnmBlvsh226PkGlimQ7sXUC6YvHJhbjpO9zpjdtpjALr9ED9KKE+Ii4/bY+a54N7+iNFYmiCsLZYeErOu7w4I44xmxXlkfX+GGWb4cHDjXg+QJhQzPAxNVXjp/Bxf/8EO37/Rmok4PoaolizqZZvuMMQ01KmT/3sBVVW4eLLGzsEYVZFmkHd3RtPH367Vvdfx2T0Yo03c/QuOwaml8kPk5nMnKmy1PN664zNXdXAMXfY1dJVywSITAm2ybo+D+2eI3jDk2kYHIWB1ocj1DZk4oSgKCw2XOMmplCxUVeELr5zg2r0u/cn7dGOjT8E2mK+7xElGFKVESY5IMrI8ww/l6zi2gR+mnFutousK7W4gSZwKBEnGN9/Y5cZml5Gfoio5iqLhhTFf/8EOkGOZJpWSiRGkJFmOisJis8DAi9huezQqDtvtMWkqjtWKHkSeC7ZbY0Z+gucnnFqucPFUXfIn4ozl+SLzNZdm1eHO9oBxkFAtWQ/VWsUjaq8jP0YIjvUeZvjgUHTNh3gxrm3wEy+v0BuFuLbB5v6QP3lzh0rB4mAQ8PqtNt1BiGGqZCloWk4mBAu1AnGWEUUJfpTjhzFJqsDk7JtPwsFVFDRN9rgRCkmekecy4dc0VIZeyL29EXM1l+VmgZW5Itfu9chzQcHSuL01wNAViq7JfM3h7u6QIEpplG0p0jqSQF6wDU4vVxgHCeu7I+aqDkkmpoLvQw5NnGQMxvGkR994ptazh8fZh3QhM3zsMPAitloeiiLFlEeNRhdqLmdWyvRHMZWCSZLnEwMZeY9eudMlTjOEgJZtcHa1QpoKTEPlzBHuDsCnn59n98Cj70Us1AsszRVY3xnK1FpT5fxqlY092a9eajq0eiFpmqNoCqcaDrapsdXyaVQsPnVxnu/dOMAPEpp1hzgRtHr+xOxSYBkBNzZ7qIrCypzLzkHAKIjRVYXrG11ePn/ftOHB879laAz9mDTNaVQsSq7JYByhKorkUGkKYZwxHEcoCrR7PmkqpDHFJIVY5ALL1NhuezDJ7R35CVc3u6xvD3EsjdPLFdIsJ4wlZ/FJva4sF/zxa1t0JoT3g17AF19dnT6+3/MxDW3K57ENjbMrlUlymEG5+GTh5VKz8NT1i5Efc29P7uNkH9jm+r0erqWz0nx6A2rL0GhWZS8JpAhmhh99ZJk0kMknnIVHmZt/1FEsPuqc9OwbRZgfYqjBu8V+J5Bp80IFBHud4MO+pA8N79p+99d//df5+Z//ef7gD/6AbrdLrVbjS1/6Eq+++up7eX0/cjB0dUryB0mmeDeOMUtN6RKXpDkFx6BStIjTjCgpMfITxoF0vrtwospczeV/fGeT9e0BPS+iUZau+XNVl2rVoo6DYaiTeDIpNMly+V8QpeSZ1GppmizKCKEQpzlDPyZOc5YaLkXXxDI04tQHIQiiTG7GFOkWbBoaq/NFmlUX/Yir3KHzxiGB+pMXF7i20Zs+/qDgIUkzBuOIe/sjOv0QgdxUrMxJxe7pZem4fbiRkQRx/ZGOw9ttTxI/J07dh8QUQ1e5fLZJlkuC3F7XRwiBEILOIMIwVMZBwo17PV59bv7Y56epCs+fquNHKaauPrKxe/lMg/3OmCDKKBXMRzoTPA2Krsm5mePwRwZX7nboeyGXT89RfocRVV6Q4IcJZdd8bEzuftdnf0L073sR4wkJYxwkjMZyPjENFVWBSsGkXnGYqzpUSxZJmvG1b28hJk6erq3xyeeXJuKMGEUBTVFIM0Gc5Ajg9HKFaxtdbm0OJo4yOU3XxDY1hl7EH35vk0rRYujHOKZOuWhz4VRdpkfYBqoq6I8kIbVc0BgHKUkacGqxzJU7HUSWk6QytUC2kAXPnzp+ILh6t8tBL+Du3gBd1zA1jTBJ0RSFKMkoODrzVYc0l8lCcZKxPFc4lnIBMrLqhTMN+l7ExVN1Sq45nRMOYxZBEslNUyNJ8qlLRpRktLo+a4tldg48BqOYgqNzYuF+g3dlvoQXdBmNIyxT59RiGVVVKLlQdA3STFCw9UfO9WmaHyOrAERx+p4Sq13b4NyJ6nv2ejM8Gn/yxi5X13vkQpAkGQdWSLPmTGPGFQSuraGpGoah4lgaQZziRBqmrrG+M+TnvniOsyu7rO8OUZSU1bkipi6TseIk4+Zmf1JsB0VTWZmXewFdU6mVFvju9X1AYanh8sVPrDAOM/a7PlmWo+kqBduYCgpUVeHSqTqdYYgXxERxRm8UcXdnyKmlMre2Bnz3ensi6Orxv/7M81SKFqeXK9zZHlCvOFimThCnktBRdRiHCcaEFF55YB787OUlLp1uoGkKrm3I1J6Js3C1ZNHu+xRsg3rZplw0STPp5nltvctC3aVWtuWaPal97B2MMXRJhK+XbbIsZ7cz5rvX9nn9ZpuhH6MpKmdWyjx/qj4tlNbLFputmME4pO/FnJgzGXox//M7m5RLJi+crlMpOsccSrJcEITJEwlbh465pq6ztlBmMA5BgVcuzH8g5KfggXnkwXnlEKqqPBNuRT/KqBQtLFOj7wVomkKt7Mh7Tle4cqdDEMcE4ZMr+7IGqKCiMPQi0hzKrkF/FHLQly5qqsI0wti2dOaqDt1BSJYJusMQTVMeSroBeY88d7KGH0limfWIe/6bb+5ya0KyurXZ4y/+xJljIqjDvXQQJlim9tTRkWuLpWky32LDfaKAMsvzYw2QB88MM3y0cXKxNBXhLNTdx+5/P47IMsHQixgHCa2ej2saqHXwxol0fBc5qZ/xuDv+0OlaIMUcWSYI4xR1LMkGiqIwX7Fplh3yCbHZfMQYtU2dF881CaN0Kj57WoRxysCLqRTNJ47jGWb4uGJ1oUjBNdAiBcvSaFTsiQWmXIdfOifJyb2Bz/eutQnjDEWFPJdpWqaqEWc5Ay/i3KSR2htEU1LDjXtdDF2V53xVYTCK+OqfbJDlOX6QYOoqmipd/mslm/mJ8NfUNUm2mJDLy0WTVt8HoWCa+uQsIVPBLFNjZdIUHPox2+0RXpAyDhKCOOXyGXkm7wwCbm8NAJkM+MKZBrYpUyrOrVQ56AVkuaBWtjl/ooofpvIsXTD56jfuEiUZJxZKfOr5hUeepxVFpuxGcYZlanz99R1UVUFRFAQKn720QN+LaFZcXj7XmBJNyiVzKuIQQtAb3X8vO4OIk0v3U/66w5Dn1uR7u9vxma8/XTOyUrSmiYA37vWmrnzru0OK7qPTST5MxHHKV7+xgR/Jc0RnGPDjLy1/yFf1o4W1xRKvXW+hqcq0fhdEGQqg5JpM0FFUDE0hSnJA4cR8ictnG5QcE4E0HjINDU1T2OmMOegHbO4P2dgd4li6TI5JUhoVFz9KcW2Nk4tVgijFNnRu7wxIc4EQ0uTj/Ak5fsZxgp5I0VQqcuZqLs2KQ7sbkIucesXGtXRubw3Y64zRVAVNk/2BhZqLZWpYhsZKs8jlMw3+6LVt9jpSWFEpmvzFz59+4rn4sAZ3iMPm78pckaVGgf3umM19SQIJohTL1KYGC0F0/+yr6yp1y5bJgIp8zx+F/a4/NVMJJnudo2mim/sjekM5ZjfDkSRLzIiMM8zwkcCh4Ov8rNb9WHzighRxvHajzVd++uKHfTkzfMBQFOmYfdjffq/h2sZ03wzSiG1z30PTFF6+0Hz8Ezlery65JrWSdYxgmqQZG3sj2edrFrFNjd2DMQXXwLJ0nj9Z49RyhVwI/DBBAaqTFPuBF/HVb66Tpjm9UUQupItrs2KTpjmmrvHjLy6hqdIYybZ0PnNpcbpP3+8GDLyIWtmiN4pQFYGuKaSZPKMdbmMsQ8O1dF4632Rjd4hnJzTKNq2ef8wYTnZZVQxVIYhS+p7so6pqzNp8AceUiTm2pbE6J0nxeZ5TcEyyLOegH7DcLDy2XjYYR9zZGTD0IvRJ/+iVC/MP1WLv7Q3ZaY3wo3SaxD4OEpI0p1q6f145xMbekP2O3CMdmmjN8NFAwTEoOAZX7x7wX76xjqIo9EchJdekOwzpeSGaqlErGSw1S0RhSmfk41gGmqYhRMZio8AoiBl5iTw3I/fdtbKJqsg9uaoqiBRyIe9dPxTouoIAWv0x4yjh0sk69ZLFOEgJ4pQ0y+kPI27c6xIllakb91bocWGtxmcvLfLW3S5DL0TXBOMgYnW+xCvPZcRxShjnVEsmF9dqZBNDy5v3euiawnzd5c3bB9TKFpoqhWmHZ+k8F49NHP8wcWKhxO2tAXkuaFadY/PcDDO8X8hywc1J6gTAzc0eJxZKtHuBNGUuWZxcqrC2IM2lLUPlrbtdkjSjUrQ46I856IcgIHQTxqGcJ9JMsNmSJrO9YYhj6czXC3z28hJBmFJ0DWmkWnZkMpBj0PdiDvncCzVX1jgNDUNXqRQtwjij6Mi0qzDJma85jG2deslmu+1RmySIR3HKW3cPEEKO874XokwSPrJM4IcptqVJw2dTm57p0zRH11X+x3c2ubPdR+TQHUbM1x36XoSiwmdfXGR9Z8D1jT4K0vhS11QEGaqisDxXJIoz4lTOnUIgUz+BSsHgB9fbqIrCaCxTjNLJ9ZiGxnMnq4/9nPwwmQo4QPIVu4OAa/e6NCou7gPrfsExObNSJU7zx3Ie81zyrd4J51QIwY17PbKJWdjrtw/QVGXSW1a4tz86lnT2djizUmGhLlOanVmv72MBU5fGkKoqOcG2+ewlWLiP6F0WfgRqf13v2RNAnFoucXu7TxAlUz7axxU/1Az6yiuv8Morr7xHl/LxwcWTNdoTJeLcO3S0FELQ7gdEsWyqRknG96+3+Oabu4zDhMun64RxSiYkWfv21oDvXW9zb3dEfxwy9lPyLEcIhe0Dj3GQUHAMLEVjrxcghHTvDqKUJBMMvJgkyzB1DU0RFGyTJBOUCwagYlsa5YLJzsEYS1fxw5goUakUTC6s1ahXLG5s9im5BkuNIqqqkB0hWe13pfOGEIJrG12KjkGcZlSLFsZE+HGI4TjmjVttvnt1nx/cbKMqoCoq3UFIuWBRKZgc9EM09T7x8nFI0nzq3I2Ae3ujh9xFDwtczYpNo2LT7gfkQkwb1dkkclJ7YD+kqsqUgC2dwJUpuROgWrL5P33hHH6cUrT1mbPdjwD+x7c3+M7VFgDfu9ri//azL0ydbd8OvWHIza0+CHnvvHCm8cjNbZLmJGlOFMsDQDoZn4oC9apFkgqW5grkueDFs02KrsFBL5Bq8PUuUZqhqypJlrF3EEwihwXjIMULYuIkwzQUnlurcnKpQp4L6iWbojumN4zw44TOUEaI5VnOW3c7lAtSPBaEiTzYCFAVQFEwDYOVeQuBYLFRpDsIySepGQJwHRNjnJDmuUz/SXL+yzfW+bOfWcOcjJfdg/Ekgk8hCFJa3TFzNYcff2mZwTgiiFIUReH0UoW/9IWzvHmzjaYpJIngwaQz09CoFC2ub3QJo4xy0eTCiRrx5BQ5DhJ2O2O6o4jFukOcZGy3PZI0J8sErm2wNWkYj/wYXVdZbsr5qegYWKbGm7c9NFVhHKT8uc+sATyRuPYnr+9we3tAkuYsNwvUyrYky/wIbA4/jthujUnTjCyXrlN73TF+lCCEQpLnGIbOUrOIbeq0ez79UUSW5dMDd20ipPx//J9fZq/j8bXvbLG5P+JgIMUGL5xpEMe5dIASgnEQ8/rNNn6UUnJMNE3l9FIZy9Q4f6KOYeiYGWzsDTjoy/F39W4X01D57AtLnFmpoE2ctZfnihPXppg4zrh5r0974MtrE+AFMdttb1rUH4eJTPKwdHIhKBcsLqzVePl8c5pi9WADAKB05N7WNJlyczAI0DWVz5eXjxGltlseQsi1f+THvHi2ia6pch5MMjb3RyiKwn7X5/xqlTDOaHUDgjDh9taAKJFFG21SMKhXbO5sSdepIEpZ35Yu5yvNAlfv9Llxr0e1ZPHtt/b5pb90GdNUubs9JMlkgebtHMgX6u7UseNzLy4yV7VRVQ33HUSO/jBolG1aXelOoqrKNHFlho8eDvo+b9xu0+6FmLpKtWiiqipl10QIQRg9XdBlEGeUXA0TlYKhYZs6nh9za7NPyTVZahbQj2xSH0eMAkna+/rru/S8iJWmLMA+SUx4WKwESTzrDMKHkp40VXkooePt0JyIT4UQbyv8sE39mLvLLGnq2UKj4kwT0d7OzfzjhDTN+cPXNvmTN3ZBSAJwo2Jz6XSDa3c7/OH3twmixws4QIqjdV0lFxmaqlAummQZFB2dcsFgoe7wwukmnWHIt97ao1qy+LkvnH3ka+ma+o7HcX8U8t++dY94Qqj+8589+cg9wQwzfJxRdAwunaoTxCmmrjHyY8oFORfGiWCu5uIFMYvNInGcESaS7GQXVVzbIEkyyq5Gs2IzDlM0VcG2MvwwIYozhqOQcZhOkr2k23wQZWS5oOQaxElGqx9iWRp/6SdPsXMwJkoyTi2ViFNFpsvlgjQTlF2DREC9aDFXcYgmTUMh4Op6FwA/Suj0I7Jckqk294ZcOFGTTdpJkm6cZNiWzo17PeI0R1UUzq1W+anPnsQLYuaqLgXHmKTuKvzBdzfpTUQP1+/1WJ0vstR8eK3P85z/+b0tdtpjXEsny+8ndxi6ygtnmtN0utdvtRFCNjVVFCxTI4ozTEOlUXbojSIUJDnmB7faRFGGZaokqUwCBt61q9iDz4uTHPcjtl3vjqKpgANg98D7EK/mRxPNikPRNojjjDzLiXJZQzMNDUNV0HSV0I/x41w64maCds/nxqZOvWQxX3OJ04x62WZ5rsCfvLHLne0+r9/qkKaCgBTPl6LPNJdmImGU8f1bByRJzqmFEpWixchPsEoaQZxRq1j8xCsrxN/J8aMU29TQNJUsE3zn6j7X7/VQgJ98eYWeF6FrCq6tc2dnQBjJa1mdLyKEYDBJDm71fPa6988LA0+mXT9pT3FqscT1jS4DL0bTlGPuw6qqTGt3hzg6puplm4N+MD0LXzxVnwjZlMeKUOMHYg/jJHvi48njYhJnmGGGDxRhlHJvX7rFPim99uOOVy5IR+Lr93r4YfKRE47O8MHg/RBwPApffPUEnh9LU8O3MXF4cM2ulo7XCl6/dcD1DSm6Xi8PpvXRZtUhTXPOnahy4WR9whE4QNcUfmrSr5dGVrJnn6TSZFLTVPwgYa/r44UJIPjiJ1aPCSMO9wCNis3OwRhT1yi7JoahMV/VEYoUx19Ys7m3OyJOc547WeNbb+0RxRlRnDLyI8Z+SpRmJEmOqhgUJmemgqMzDtOJwUZCkghuRAlJJig6Bg3VoVwwWWwU2e/6sh85iUfQHiQfHEEYpfSGkgSaxRntXnCsFpukOTfu9fjBjRZXN7oUJqYen3thEcNQQch90lG+pxBiaiQI0B2EJIv5MX7DDB8uXr/V5t/93hXaw5B6yZYpGX5MfxSTZwAZQaRRL9rc9Yb4YU53OKZo69imimPpVEsWfiklSjLCiUGbH6VYusZi3UHTNDrDgCQT5JkgSlLCWJDnMvUlCDNuan0qBZNKySDpZ2iqRpLmvHa9TX8U4VgGlaLJOEz5zrV9hl7E+s6Ava7P+t6IN253+Rt/4XmKtsEgy6kWNQxN47UbbWxL46c+c4JKycLSpBndnZ0BCmU5psOE5083Hur1f5TEHLWSzScumGSzuvcMHyDyPD+WAOH5Mbe3B1NjxDTNUBToDEMaFYfFRoEf3GwzGicsNYvESU67H0IuyHKLxopDEElBQxJnXN/oTk3VKkVz2s/PBTSrLgOvT5ZLY4Va2aI5EVn6YcIJvUy5EKNrCkmWc3d7SGcYUHEN4jilPQiJ4oxayebEQpH+KCLPZTpppWBKkwtFRvpUXJPeKMLQVc4sl7l8RqZ+GppKbxTyte9sEsUZK/NFrtw5oDsxZxh4Ec+fqiGEIAdubPToDiNMQyPLFPwoIYol7yjJci6cqNLqSxPMi6fqNCoyZQikod7QiwliWZMdeIILazXSTApAR35Cs/roz8k2JW/AD2X9zTJU/t1/uco4TFEV+PSlReIkYzhJDX3xbOOJBpOb+yN2J0Yb51arT92HyXMxFXAAsp7sx4y8GE1VOLv6zgnUM8HaxwumKRPs/CCZ8BWdD/uS3jG8Iynhh/D9hHL52e5ndofxh30J7xiaptAZyHPiYarzxxVPzSy7ePHiO1LvXb169V1d0McBmqZO3aIeh8Pmp/XAonxvf8R+x6fV8xn5MQqw1fYo2DpBmHJvT5KO4zjDD1LqE/HBoRI+zXKCSKCqKpqmMPJjuoMATVPRVGhUbbbbGZqmIhA4uobnJ+Q6WJbBqeUyhq5RK9syOrHq0BkEmLqGaSjYpk6jYlMuWAyDGD9KUZAueCM/puga6JrKxu5wSngESYoeB9IhojmJZz9/ojb928Mo5bXr+3z99R1ubkpypmPrGJpKEKUy/n2CziB8WxGHonAsvvFJt7auqfzUZ9bY7YxpdX0ONShzNeeJhbCN3aEseChweqkybRyD3MCW9RlR+0cFNzcH03+Pw5R7eyMunX66mLnOMJzeh3kuGHjRI0Ucrq2z2RqSptL1YrlRYKft0e4HhJNG+5mVMkuNIicWSnz7yj67Bx7DcYIfJeiqQpLeJzUPxxF5JhhHKSXXwDJ0TENF02TknW3plAsW50/U2Ngd0sgcusOQwSiiVDAnaRZyU3/QD1BVBV2XcwFCfn9prsBcVRYhR5PEDk1TePFsg63WGD9KCYIE01RZmSvQGQS8dbvNylwJQ1epli28IEaInL4XoWnQrDkUCyZ/+QtnuXKnS6s3pl5x+H/9f9+YHFJUvv76Lv/P/+sr6Prx93Gn7RFGcs4ZejEHg4C5CQG01fNRFCaklpxxlJILQdE10FSF/e6YLJfkcVOXZI+juL7enc4He50xB32fZvXxpO+9zlgenpHkklEQ8+rFBSpF86kdy2f4aGGhYZMLGZWb5YJK0aJadOgMfearJcZBDCjSyaDsUC9bFAvSoXq+5vClT65NX2uxUURVpJN2nufomkoYp1w6UydOsylZ66AX0O7LyG9DV3njdodyweS/65v8tT//HEEso75VReHO7oCFhstivcC3ruwdj+MWch3O8pxxmFAuyAJMmuYEE2GofWQvcnqpzI2NLkGUYegqn7q0MI3nrL6DkAfT0KZiKAAmv2K5WaTTD6eOmoeJHWdWZAqIF8TUyxZJljEOYn7vG3fJM0EQy33TYBxTLhgUHYMgzsiynK39Edttj839IQXHYK7m0vd8rt7tcmdniGXKZkQYZ9ze7uNYOiNfHnLWd4eUXPOJ7hGKonDqbfYe7ycOY7bHgXQ+mTldfHRxdb2LpijkeU5nGNEZ+BRsGeM7DlN0FZKMpxJypKkkeqqqIIxzihNxlecnhFHG3Z3hVNBTLVlTsqKicEyY9NqN9iQOWLpaNio25048nhBRK1n4k1RBTVOold67Pe07cfs/s1JhsSHdXWZu/88edE2dzvszSGH3azda3NkaUnRkIlXZNahXHLwg4dZ2n2QSaf4kJGmO5RrouoKmqOiahszkUBGKQqlgoWlSwHx4hr6zM+DsahVDV3/osXR9o0c82SdHccaNez0+fWnxh3rNGWb4UUPRNVlbLDMOE2xTpzsIiCYGIPM1h9PLZRRF4dqdDrkQ6BMBQS7gz3xyleE4Zq7mSOH1ZP1WVXjzTgcEbLVkYt1h2k56SAQCtloDBmMp8AijjP/4tVu8+twCQgjeuHWAaxnTJN4wSFAUDVMBIRTWlkp0BhGNisXt7SGHveH+SJ4jcgFpKs1kNvbeRFFk02+v44OAHMFi3aVatMmFYGN3yMsX5qaNXWBaA0xSWb/M8hxD1x4rnrizM2CnLcnifpRSmqSbilxwcqlMo3K/4B8eOcObhsbPfO4kQZxRKZj80fe3p8LQwTjilCHPSlEs0xAOcdSp/51goe5yZ0c2z11bPyZu/yDg+THjUNZ+jhI5D9MegyjFtaXr4GG62UwU/t7DD2RKzXev7ZFmGUoqaweqolCrWNSKFlfXJwkxQCakYLo3COkMAnYmidKffH6Bg2HA/qSulGY5lqUhkIlcczWZthVEGZDJNB8Fdrv+tCboBTJ9ojuMeOV8k1tbPTb3xwgEa/MlFAVeuy7NaixD46vfXGepWSTNcmolG9v0KDkGBcdk90DWyw1dY7HhYuoaBctgPGmGOpb2tvsL09T5mR87TW8UUnBMXFsniFKyTCaQH9buskygacqxeaNStKZn4ZJrPFXC29HX0zX12OuBdAsdjWOEANvSZoLUGWb4iOD2tnS1rpctGpVnjyTyQWGh7rLcLLBzMOb1Wwd87vLSh31JM/yI42nNH95uzd7cH00JqN1hxFKzwKkli93OmEjJ6HsRb95uc+Neb2o+892rLU4uVSTRR5EJW2kmWGgUUFWFve4Yy9QpuSYDTxJaP/Hc/PR3LjYKXN/oEiUyrePbV/bY64ylKB7B+dUKJ5er/PyfOc/d3SHrOwPCKOX6eo8kk3kbQZARxClCyB5vHKfYjoFr6YyDBE1RiLJMphpqKnkO2cSoahTEk72PwVJDpq6XHIO1xfIT+4S2JbkYfS/C0LRj/AOQ/cdxkDAKEuIkJ01jBIIf3D6gUXZYbLh871qLrdaIc6tVVuaKdIchfiDPqOokde2DEgPN8HT4g+9sYls6CtAdhpxaLlEv29KQNYWya1EqGBiGTGMxNJVEkeaq3VHKKMjQVYXFhsurF+fZ2ve4clfWHXJVkKOgKdLwQEkEmZKT5xpRksnUC0VBUe4nYp9ZqhDFOYNRRLvvo2sqhqHS7gWyPmmok76hwtbk3B5GKb6hsb4zRNNVyYsIEywzxzGlCH2/G3B6qcx+xyfLc1zbkOnESEOErdboeK+/HzD/Ls/q7xc0TX3IbHKGGd5PGLpGvWJPk3AqRWtSE5DY6/oYuopj66RZzh++toWqqlRLFq2uT89LcCx506qqQhinsiamQE2xjvUkdg/Gsn6nyBpEdxig6yqKIo0r62XJKQKZTBMlGTVf1gdub/W5cveAXMCeAn0vxjC0CXF3zIW1CnGik+aC59ZqBHHOnZ0higKvnGuy0CywP6k/fOrSIqqqYKnyur9zdY9OPyDNBFGSEYQp6oQEmGSZvG5TBwFX1zu49v39S6lgstwsTESWJputEX4o37/D/bQ5mYdOr1T4f//Xa7Q6YymQvLxEnOYEoUwNfZJ4y9A1Lpys8bVvb6JrCvVKmVY/IElkmsFrN9r8xEvLFBwDU5d8B+cxguwwStmdGO5lmWB9d8jL5+ee6n7RNJW5mkO7NzEerzp0JnXRLBck6dN0qGf4OGOhXuCF03UO+iGGofDyufm3f9JHDPojzNZV9d0ZOH2UUDCevf37H39/B1NXD8Pq+c9/eIeLp56Ob/ujhqfu0P/dv/t3j4k4/tN/+k+Mx2O+/OUv02w2abfb/MEf/AGu6/LzP//z78vFflyQZjlX73YnLvPSVeawWTDwZDMny8TEVUIuoPrEJWu/NyaOZQzmYbOk4Bi0ez4KMhGi6BpEScb+5BCvqAq5yGn1Qv7ql87x3Wv7DLyIomuw0x5TSDIsQ6PkWsxVXf7Xn3meJBN8881tfveP79IfRRQcE00FVZHNonrJIUkykolP6FKjIBMpDJUkydnv+tzdGTJfk473Qsi/O44zRn5Mo+pMNzitrs/67pA/em2bVs9HVQQiBxUV09RYbLpomjJVi9rW25+KdE3l1FKZe3sjFIUpmTXNZNqBbWrH7ndd1zixUObEQhnPjxHIuNfHIYzT+44VQhafHiyizPCjg2rJmo5NVeEdKQNdS6d75OvHNTb9MGVtoTwhd8DQl+kXw3GM50tyeJr1iZMcXVPoexG9UUQYZxRsnYWazZ2dIctzBWolGy9I6PZDNBWG44RGxWah4XL5TIOzKxVubfUZjEMGXoSuqdTLFs+drLHbGTNfddjtSCFZo+IQRJJQvtXy6I9CTEPnwokKp5bKLDYKLNZdnj9Vn8QzapxeLvPHP9jB0BWGXkKa5biOJI1v7I6mB4OTSyVMQ+MHt9qEUUKrK5Xzg1GMoSsIBJqmoioKm/sjhBBoliwQre+OpgTUziBgq+XR6vnYhoZ1+B4LOT++dK4p31fuk0dX54rUjjRpNU1hfWdAlst/PxjhpesaHB6GFd7WdehBWMbDhdYZni3MlaWwL5sU701DxTRk2s3Ne11sS+dTLyygq5ocz4slbFPjzEr1kWSg6hFSdBgnrO8OsU2dz76wyM7BmL3OGMPQUFSwbZ3BKEJVpeAhywR/emWP59bqtHo+SZIzDlPSCflJPIIBemqxTNvWGXgRlqmjKApekFArWszVHUxTozMI+JM3donTnAtrNaolm0rJovwUjZokzWj1AlRFRiC/XQNgruZwb0+66zmWTtGRhdoXzzVp932+9q1NDvoh1ze6zNVcFEU2J86t1rBNjaEfk6Q5L5xpMAoStloehq6iayoH/YC5qotAUHAMakWLwfhwf5USxAl+kGAcFlrE/cL0e4HDvYZlaO+pQ5BrGzN3vWcAeS7YPpApV1meU3B0oiSl346kowxgmSpRnKMqkD+mVqYgHxOTNJxGVWUwithujciyXDriTqQgaZbT7vk0yjaureM6xrH9Rhinx147iI5//SA+//IKP7jRIohSnjtZP1bs/KAxu+dn+FHAwIu4udmnOwwZB7EkbWsquqHx0tkmv/+de2S5MhGLHvMieAhCQBimLDeKLM+7aKpK34sAhdOLZRCw1w2O/Lzg7s6QOMllc2Ii7vjxl5bfFYHXeiA2+e1ilNMspzU5Ny/U3WlTdoYZfpRRKZgMxzF9L6Jasji7Wp2YtCgsNgvTWlShYE5JEijyfHH5bBOQpPzOIMSxdXRVoT+MWGjItb3gSELPOEoxJoYto3FCkmVkKWRZjoICk/3zH35vk1wIamWbl881CWO5P7Esjc7E/a5gHdYEC+R5zsbuiLmqjYBjyR2HdYHD+eObb+zx6UsLMvFCV481fZ+UPbY6X+T7N9oEUcraQpGFxxnhPPASa4ulyfk+Z6nhHku+naveb05WiibFgkWxIK+/XLBkwxkY+YkkqEz26WuLRUqudSx1952iWXWmSSNF1/xAyVD9UcSNzd40/fXS6fp0/7TdlgnNAJ6f8OrFOVrdANPUeOVc8wO7xo8D8lxQLVmESUaU5qiqhmkc1r7KfPr5BUlQvHlw/zkCTFWgajAaxWSZwLZibm722e147HcDRuMIXQPHtpivOszXHObqLnGSoesqOy2PzjCUQlCEFCdM6onVkgUCklTwc186z05bCsAWGy6vXW9P03CyXKbTzlUlEUPTFF4802QwjhmOY3bbHmmeE05q+iXX5AuvrnBjo0cmBJfPNNCfwsFZ19VpYvleZzytB1RLFudPVHnpnEz+dG39IVLj252FD/o+33xzjzjNuXymwYW12hNfr1a2efGsrBUe1iJmmGGGDx83N/sAnH+C6cQMEq8+N8/OwV2+fWV/JuKY4SOFJ63ZlYKFNyF5mqbGhbUqex2fOMlplG3yHDr9cCpWh/tnimbV5YufWOX1W20qBYvTyyXGQUqei8lZ5D4x9SgUGUROZ+BjmTq7nTFpJrBNjSwTnFqpsFAr8N2re9Pfr6igapAlgiTJ0DWVOM3JJylrpaLOJy8usbE3JAhT2SfSVXIE1YJFdxQSp0yTMPI857vX9vGjlM+9sMirFxfe9n2sFCyKrsnQi1FVheXHJBQXbINq0SJKMpI0Z+hFaKpKlmWoqkqeCXbaYwaeNNrUVIXOIGRtqcTJxfJHKt1gBnmvFl2TpYaL5yd84ROr/OTLK/y3P91gfWeAqqpcPFnHMlW22h7VkkmxYOBaGjfuDfCDCBSZOrfULJLlOWEiTeDGaQqqSr1so2sq4zDG92NyTUFVVUxNo1QwqVecqWDizq5Mu88RdAcRaZ6z3wsoWPrE3V7DG8fkSLf5KM5lMqYCoyBhOI6pFEwUFLpHkr6FgJOLZRplmT4axRlhmGLbOvWKPR3/R9+XGWaYAc6tVhnVYxRFwTY13rrdIZokTrm2wc3NnjRGUBWy/LhpiWUoJIkk0BqaytnlCu1+iK6pnFyW7o1RkqFrCgXH4OZmnzyXJgtLzQKFydqe57K/v9hwp3y6PBeM/BhDV7ly5wDd0MgmKb1RktGsuVNDy/4w5uyJKiANXi6dabDYlMLM5WaRO1t93rojDS1/4uXje9zuMGIwluaMfpRwYrHI0EvIheRuDfyI7ZaHqimszRcRiqyZ2ZbOpZUGjbJNlGTYpsbG3pBxkMiU01Tnyu02Nyamvj0vpFG20FUwdY0sy/H8mFGQ4CQazgP9ED9MuLszJM1y5mo2b97uTM21NnaHR7gbkOcZG3tDWTMuWizNHa+Hen7M3d0heS6Yf5BX9A4nw9PLFZpVZ9prGgeJ5Hwd1otmmOEJKDgGf+aTa9zdGeA6Bs89g0mZw0Hw0PeiJOXRu+pnB4b57PEmLF0lSfOJHSGUCh9f486n/sv/3t/7e9N//9Zv/RbNZpPf/d3fpVC4v3B4nscv/dIvYdszt64nIcuFVDIqMkr9wUNwfxQdc5/e64ynIo6CbRBGmYw7jBLWmkWCMEUArqPx3Fqd29t9suz/z95/PEuWpumd2O9o4Vpdv1qEjkidWZmlq7oaXUALNMABOEPacAyg0XqHBbHCvwDDCiuYkTTQgFXbkAbOgENgAEw3WpfKqqzUkaEjrlau/fjRgovP74m4IVJXZUaWP4uyjLo3PI67n/N93/u+j4C5uo2qSGwslAmCmLEbEkQpZUulMwqQZYk4zpDkjFSWcNyAgqXxd765zmKzwJ/9Ypv+0GPHi/GDmPF0oGeZGlqS8ldv7mMZGmM3pDNwqRY0ZEXBNnRaNZsLa3VubIlBoRfEhFGK6wuy+NiL6A48JDI0TWFjqczA8XG8CD9MuLBazz+P/c6E0USQWbIMqiWTLINKyeDSao2//71zpGnGXmeCqsgsz328ZXWuZp9yIR5NQm5siajWkq1zca3GaBLSG/lYhsp8w0aSpI/lKiJL0il2zcyt4quNv/udDf709S0cN+TF83PMNz7+1r7QLJCkGV4QUy0aTzwUG5qC60e4foymCjcLy9Col01GbojnR/hBzMARg91iQadVs/CDBFOX+eBunyBOuLMz5MWLBtWCIRz0JAM/SKiUDTYWK9TKJnvHDr2hj6lrtOsKa/MqiiyhqjKvXJrD8WLadZcb2wOO+y71ssFxz80JYhkZm4cOPzRU2jX7kWfGNFR++5UVlppFvCDizRsdsiyjYKqnhAxDJ8LxAvaOJ2RAlGS8fbPDH373LN2BT9nWcdyI/sjH0BSCaZGjyEK40R8HmLrKxI+QJQnLUOn0PRZbRUq2TmPqtKdrClc26tzeEW5eC80CzarF9c0eYZTieMLJI4zF2jBXsx4hvH77+QV+8u4+UZTyzJnmR5La5xsF1hfK3Nsfoaryx2rM/jrQH/vsHU9QFYm1+fLHcjCcQeCgP0FVFTIk1EyQ9HvjCF1T0FSZMM64tzfmuy8usd+ZUDA1irb2iONjGCX0Rj5FS2O5adMbB0y8mNu7Q2xDY32xxKvPtHnnRgc/TLAMjXbNRpEktg8dkMTGUysazNVMDE2ZFvMmBUtFkuDVy6fvt4KlMZqELLVKDMb3I/biJENXZebrBRoViz99fZOhI37+9q0Of+97ZylZGsd9jzTLsHQFN4gpWtqp5z5NMz6418vdccZuyIUnFHPiTOGhqTIX12rESUq1aJwiTSRJRq1iMvGiXHilawpFS2O+brG1r2IminDuCWOGY584TVFlmXa9QEpGRkazYrGxWGGpXebdm0fYhsztvZB//xd3SLKUly7McWGlRsnW8wbUJ8Vhz2XiRVSKOo2pm/r1zR5JIgQkl9brszPCbxiqRYNKQWPiRWiqSr1ssXM0Ei6wMsQpxHGKZcgEwZPFQ4oCjYrBueUq9bLJta0ehqaSZQmHfRfXj3huSr67dq+Xx/MWbe2RtLCLa3X2OhOSJMMylI+MytVV+Qt31u8OhaNXvWzOYslneOrhTAm0C80ixz2PKEmplwx+65UVBo7PfmdCmok9VFNkkjQjfpLCa4qR6/N8tcmVjQa3doYc9iZ5H//Moki28oJYuGNVRPrdrZ0BmiIjSRI/fmePP/jOmU/8Xp4906Q/DoQLXs3i8ke4pVzf7OcE4oETfOw0wxlmeJqxe+yIHleaMZ6EjAuhSHqUOJWmVrJ1mhWTg76LBCy1Sux3JnhBTMESNfrJGdW27p8ZLEPj0nRvt3SVlJQ4dtATmURLROrk1EUzTjPCJIUMjgceh70Jhq6RTBPD0kzQokZexMgN7g83NxrsTFNAfu+b62wdjkUNY6rc2r2fVJplGbXS/R6xbam4nlh71uZPp9hFcUJ36KOpMte3+mwdjMT1xQkHfQdDUTE05ZTAbH2hwp29IUc9D0NXeOF865Qzt+tHdIc+5YJOtWSwfeiQpimrC/fjA1VFPmUGUy4YIokkSChYGu266Ht/knTqx8GaJqaB6As7boihKb/ymrs/Pp3+OhgHOXHuxAznBNWSeaofO8PngyRJ+eBej6O+S3fkU7A0VEW42dZKBhsLFebqNo2KxX/9xTaqLAnTJkkIk44HIVGckRFxPMjwwxjPT/D8iCRNyZApSDBXt3j18jyOF6FrMoau0h/6HHQnhFGKqcssNwt8/dk2QyekXrbQVDlPtXvQ4AhgsVlg+2jM0AnZWCwTpymWqbKxUCZOM477HktzRSxTpTfy6Q19/DAmihOqJZNvPr/4qT+zEzdJuD8nsU2NSvHTnft/9M4+4ymZ4/WrByw2CxRt/UNfzzTUWU9shhm+ZLi53Qfg/Gr1i72QpwCvPTPPf/jRXV6/enBKnDrDDF9mvHxpjiTN8MOIS2t1VtplludK9McBRz1xjpqr25xZrPDmjSM0ReYbz95PN19pl1hpl9g8GImayxNnmGubfSCjWjSpFg1cP8rPwwddF11VsAyNIEzQFJk4SbAMlTRDiDllidu7I3RVYaFZ4LjvMVctsHM8JoykqRBDXIMEJAl4QUQUpSRZRgpMgoSyrREmGcutknBE1xRqJZM7e0PCSJzLf/TOHmeXK8w3ijmXpDP0pgILmTNLFcEP8SN0VWZprogiSwzGwSm+w3zDZjAOOLNYIU5SukOPIEqZr1v0RgGmJtOoGhQsjSzLOOq7FEwNQ1dp6SrnlqufKenbcUMcL6Jo659aCD/Do/j+S8v8bz+9R4bE5Y0G1YLB3b0hq+0S1ZJBs2LRrltoioLrJ9zbH6LIEn4Q8v5tYSeZZsJ4TlVlZITR5Ikhg6ZIwiQuTZlvFDiUJIrAYBQQpSmKKlMpGqiKjB8mQlwRJNO+XkaaZvixMJOI0xRJlumNQ9oNm9eutDnseaiqRLVo0h/6DCchQydgbV4kAYLgQiw2RQ3ueCH/9//pXSZ+hKbI/A+/f4mzSxUmfiSuKUlF36Q6M0icYYYTPGhC/MzZhjBu1BQ6A4+7e0LEpygyF9eq3NodEYYJ840CRVvjvTsdslSYrNbKNnN1wXcSHIeEo55L0dZYahWolQz8MME2VawHDONkWfBxHpzZybKUcx1X58tY+gGRLKFMhWeSJNJza2WT86tV4kTM8GVZgkiIORRZ4s5On5++d0gYJ4ycgP/Xn97k//p/eCn/d9bmy+x1JsRxSq1s8p3nFri+PSBOMi6tVflff3wP01CRZTBMlXu7IwbjAE2T+Z2vrbLcLuG4IdWSyXASih5ilpEmKQe9Sd4XfOODQ9IsY+zFKJLoF750cS7vRw6ckPoDvcnbu0O86Xz2xtYQPxBiGABDV3npQovNgzG2qbI6V+LG9oA0yxg5IZfX6/DAKPb6Vp/e0BdGXkHMXN3iuO8jy1Le64xiYfgrSdIjHIWTuWqjYqKpyqn7Za5uc9z3UBSJ1fn7fdMZZngS5ur2ly4J65OgUn6Uz2d/Bbju9ic0m/4y4NJGlZvbQzKEWP7Vi09fssvnhU/17f3xH/8x/+yf/bNTAg6AYrHIH/3RH/Ev/sW/4I/+6I8+lwv8KuL6Zi93kxiMg0eIjNpD7lQPukFtLFYwDZUwSnj+XJMsy6iWLfY7zjQRQ6NaMtFVWRyCDBXHE8PhKE7oj0NqZZ3GwMf1Qo57rnD4ncZ4thsialdTFf7hD84xdjwOej5hFKNrKnEi1J+7hyP6Iw9DV0lTQeZaapewDI1vv7Ag3PNvHKEoMiVb57A7oVEVjv17nQlJmtGZRnKVbJ162WRtvkKSpqRJxs3tPrIEy+0S3aHHQXdCrWgyGAe5q/8ffneDetnOP6/lOQlFkdE1hThJ2T4cE0YJc3X71ND4SdjrOHlU69gN2e04Ymh0MuzMstwF4KOgawpr82W2D8cossTG0oeT4WZ4ulG0dP533z/3sX7X8YTYolzQ0TWR+LLS/uiDsKJIBFFKGKWEUcJyu4gqyxx0x+iKTKpJ6JqKqsgcD1zGXkjJNrhypiHcbaeEED+M2dwf8Y9//wq394YMnQBdFekUlq6yfThmOPEp2waSJKEqMnN1i+W5+9doGRq/+OCAvWOHg554NhtVE/vYwTRUshTCJOHGZhfXj5mrWZxfqeXDAuEarueCle+8sMjyXIF62eIXHxxyPPDyNJGdo/FUeZ6i6gqGprDaLtEb+mLgWooZT0L+4DvrvHm9QxgnPH+2gSQJl8+BE+C4Qjymq4pw5jzfyonfJ6iVTF6+aIg0j+nPXjjfYuJHXL3TI04CFFkiiGJ0TXnk7zerNn/43bOn/r/jvocXRNTK5mOTe77z4hKvXWmLZtlj4tp+3YjihFvbg9wd9fbukGfOzIh0HxfqlFSkqRKSpAq3SUXm6t0eaZaiqRBFCbap8cqlOSRJolGxThH44yTlzRtHdAY+t3cG9Ec+cZIyckPKRV041EwivvXcIook0xl6mJpwwMkycNyAw55Po2byw1fXcPxoGuMp3KYWW0Xm6/YjLpjLc0VURcYLIv7BD85h6Qo3twfc3B4Qxgn1ikWWZYTR/ehVMgjDmNtdl97IxwsijgceK3MlJFni4gMpYmGc5AIOEKLJx8EPY65v9vO9uFVL2VisiPPLwMPUFYq2jqbKQvRWNBg5IY4nCFBFS2c4CZFkhbWWTZymDJyQe3tjLF3leOBimxr/6PcuM1cv8IsPDtk9dlAVmR9+fZ1u3+XqPUE6UySZ7YMRf/97ZymY2hOHnVkmiFAZgpz/4O8d9lw290cAdAYeqiJz2HNzstTEi+gN/VkKz28YamWTKxtNivaY7sBHVSRMXcOPYohTZClDVxVkKUNRIE1O/31dAU1TME0VQ1MZOAFxmuGHCQt1Oydpr86XaVQsojjNBRwgXJYfHuDPNwr84XfOMJyENCpmntJxIh4tWtqXisC0fTjOiV0H3QnPnm0+si/PMMPTAseLOO677HcmNKsWr1xus9wW+7Usy7x/p8vQCUTKZpZRKWioqsxh3+NxIVEy5CKPIEp45/YxF1ZruEFEwdJYnhMu9c+ebTJ2QxRZ4vpmX7htZ/ddKU/E0Z8Uqirzg1dWPtbvxkmaCzjg8evTDDN8FTGaRDlJOggTtg7HnF2qArBzNEZTJVxfCC1W5svUKlZuSrB9KJzpO0NYbBYZTURy5uX1Gm/d7OB4Ie2azYXVGusLZRRF5ifv7tGsiNSMbJr20RkElCyNw55DnAJTokYYZshyMnXHlJivFxDefOLMKyETJynffG6Bb72wBIh+4HPnWnhBjGWo/Mcf3eHm1gAk+Poz88zVbSZeRK1kUCro7Bw5KFPnvuO+h+uHVIoGm/vj3CHwx2/v4ocJGXDUd/nTn2zy3DSWfbldZLFZJMsyVFXmb399HT+M0R+qq8eTgD95fUsYYSgy9apBpWACClsHY5oVKz8/XFqrs98VZ4uTnmicCBfA3WOH3SMnT/F9UCSSpBn9kYemKnnt81FIkpSr0/RlJDi/XP1UyUcfVoc8iIfJV5Z5/8+LrQKjSUicpBQs7dR7m+HzQ3fk4/oxXhAL10pTy10Xl1tFlttF0jTjtWfmeeXiHNe3+oDEfN3ia5fb/OzqAWMnZDgJSeIMTZGYZCmyLKGpCroq06iYzNVskQB6pc1+x+H9Oz38ICSaJs9mwC+uHzFXLzAJhBvzixdbj9y7iiyhazJnFisieUOS2Nwfczzwma9bVIo6z59rsdouIUkSJVvn9fcP0DXRsysXDW5s9rm88dGCoKETPNa4QZs6sAEg8bHP+k96vYd7GUGUPPXOejPM8JuIm1sDYJbE8XHw7NkmtqnmiVyX1mYizRm+nHDcED9MqBR1/DChZGsULY0oFoTwDJHwaU/PsJoqYxoqL1+cQ5YlkscYXKzNl0W66bQ2eP5sk4yMztDnjWuHFG2dbz+/SMHS0FQ5Pzt0hx7fe2mJD+71kBWZVy62kCQZVZUYuxGjiYMfxmiajKJILDWL9EY+/XGAKksgZciyENKuTq8BKaM39NAUiaKlI8kwVy/wzefn6Y8D4kTi5nYPeWogmWXgTecoN7f69Ee+MPcyVZbnStzZG/LyxTmiRMyJR9OEtXJRzB+zLEOSxBnxuXNN4iTlWy8scmOrx929EUGYsL5YYXmuyGgSMZ4mq4VxgqNHtOs2qiKSQz4thk4gzrMZIMHl9fpj56MzfDKMXdG3/91vbTByfAxdozPw2TlymG8USJOMrUMhwFYVme+8sMgPvrbC1TtdfvTuDpomEUYpEmDqoh7/znMLWG9sMxiHTPwwN2M1dZV60eS456IoEtWygRfEnFmoMtew2es4lGyNziAhnbr5lwo6MjJ+GKGpYoZu6gqr7SLL82V+59UVxm7IOzc77HUm03o/JU0VFEXm0nqdoRNQtLSc/P1nP99m4oteYUTKG9eOKRdMdo+EocTqfIn5J6V2zjDDDKiKnPd5HC9ibb5MkqYossx8s8iLF+YI4xRTV3n75jHtmk2K6PMJs9M+miqxMlfmxo0+UZzihTGSxHRWL/qAa4tlkkRwCFo1+7Gmayf70yuX27x5o8Nhb0ylYPKHv3UGQ1FwvIhW1SaIEn767j5RknBhpcq9vRHbh2ORnCWBNzVZTYDe1EX/5LXXF8qMJ8IEolmzMU0VSZKQEMmhi80iczUbWZLYPhKz+9I0Bfn1q4c8d64puAa2Rrtu461UiKKMckHjjetHufAiSYUBpqbI077M6T3zJMnDC2LqZZM4FsafaZZhGyr1ss7mvnhPr1xqs9gqcm5FmNMMxwHtSUgUJ2iq8oip7M6RkxtUjCYBL15osdou5wKTa/d6jCYi9aReMTnsigT0zsDjqOcynnJUHzdX3VissNouIcvSZzaymeE3A3GSMnQCNFWhXHj6znrGYxIrvgr3vqQ9fXyJG3eHKLIQxiuyzOsfHPHqc0tf9GV9IfhUbJzDw0MU5fFORYqi0Ol0HvuzGYTy8UTAAULEcXKwOEGlaLA0V6Qz8LAM9RTBW5YlllpFwijh+laf3SMHL4iZb9iMJyJ6cKlZxNAVCpZGydLpj3wyRAy7LEtMPEF6DqabvjJNjZi4IX/28y3OrdZolE1GTkjfiSgXNEzDIk4yJl7C1Tsi4mt9scK9vSG6JqPIovjTtYydozFbB04+KHzmTIP2tIiab9gMJwGeH1OvmEiSxGQaJ4oEWQpvXD8kCFNu7wz42pV5TFPFmzZGvvHcPM+eabKxWM2bNgC3dwZ0h4LsauoqYy9EkSR0TWE0CXnubPMjyWcPO2GHQXIqduxBgsnHQbtu036KlYczfP7oDj1u7w4hEwSnZ880Hilkxm7IUc9F1wTh+uS+dP2YVtXiuO9xb3+I40VcWK3y9WcXQdrjoCsKFU2VmWvYSEi0phF49bKBLMvTyNwMCYndzoTu0BcpFrpC2TaE8+XAI4wTCpbOcqtIqSCSdR7Ere0+b3xwRJym+EHKUAp59co8RwPxenGa0a4VSFKJ7tDD0BT6YyG6uLHVx/Ui3CBmqVng/EqZ7aMJWwcOnUEwLWQSskzmqO+SpsJ5I4jA1jW+/9IymqpwbrnKnd0hUZSwPFfENFT+z3/3mam75n1yp6EpSAXhPjlyQpbbxVyk8DAE6eH+OpCmGYfdCQfdCeWCThgldDs+tZLBK5c/PDnjoDth60AQbA57Ls+caTw2Jlr/Eilhozg99dmcGnLP8JF49XKbH721y2ASY+gyuiajqTJeEJOlYp+3dZmfvbfP2nyZZtXieOBxZb2ep1YMxgF3doYkU1fLIIqpFHQ6w5TjgUfR0thYrCBJEmeXq5xdrpJORZH73QnffH4JZTqc6E8CVuZK+GHC2A0pF3SWWoXHFh9BmHDUdwmihCwT5KQMTsVwR3HKhbUaf/XmLkmScW65Qr1scndPNDocL8YPEuIkQ5MEIXRprshSqyiEYpoyff0MP0i4tTOgXjZz8gqAHyQ4rnDfUVUlF62+f6ebEzjOLIl4T8eLGIwDvv3CIromcdD1SLMUWZLpjQK6I584SpBkia3DMd2hx/nVGnM1m7EbM98QLh+WoaEoEkmSYFmnn0fTUJ84YDhJ+xFNIvGZVoo6Fx8Yij58bjiJJH8QJ02fGb7a8IM4Jwa+cK5FGCUc9BxURcQFN8oaO8diICFJkGYpUZghLKhOb1onbrmGpuAGERM/ployWJ8vE8YJWZpRKZq5Y5WqSJiGkgupCtbjRUlFWz+VoDOahFzf7JFN64crG/XH7mNfBPpjP//vMEqnTjJfXLzvyXpQMLU8uW+GGT4OkiTN05mqJYMwTnjmTINSQWf32KEz9PjRO3t0+i6uHwsHxyyDUCJ7gsYiQwg5LEObPr8y5YLBa1fmkYB2w0ZRZBTI9+C1hTJpNqBkiT1RDNl/9cQoVZGxDDVPIbVNdSbgmOE3AnM1i51jHc+PMQwF84GewNiNuLMrztdJKkja40mILEs0q8J0IEkyFEVCV+U8vebu3hBDUzA0iyBKOepNGLsRkiRSaPc7Io2nUtR5+WKL7jCgXNA56Dr8+Ru7ZBk0KjqlokoUiwFos2rSHQYANKsm55dr+R43ciP8UNS7C80C+8cOu8cTVueL/L3vnmH70EGRJZYf6GfGScpfvrHNje0BmipzZ67EaBJMe4ky83Ub0xBnjQwJeZpGICGRAd2Rh6bI7B5JHHZdoiRloVFgpV3KBahxkrJ77JAkGd2RlwtZoyRl92hCZWNae2Scqn29IGb7YAySENyekE6iOMkJIlkG9/ZH+QA8TTP+9Geb3Njuoyoy331piWfPND/y+x9OwnzdIxPuv59GxHFnd0h3KM5ED9chD6Jdt0mzDMeNqJaM08kopsYLF1pEUYKhK7MzzK8IJzVgFKfEcQqSIFDUyyZJknHYc5HqBQbjgH/8B8/w7//yFlGcstIu0h8HSEiiL67IWKbK0lwZx+tRLshMPJHMo8qiRrh6p8vt3QFxnHJ7d0AYZNO0DkgDcP2E//STe9imxnPnmtjG4weWl9bq/Oz9AyRZot0oTEVcGWvzZVwv5p2bx9QrFkutAhdWa1SKOj97/0Ck5KkKYzfMhVBPwt6xw870+QKR2mPoCkutImeWKtzdG5GkqegpfIzkvRPBFQix0pWNRv7ZX9lo8Ob1I0AI2GeCpRlmePowdsO8r3J+pfrFXsxTAE2VeeVSm79+a5fX3z+YiThm+FLiuO9xd08YKmmqLM7+kki2GLthnphhmxrLcypplnLY8/CDON/LJ959cuNgHNAZCl6F/QAfQFFkBo6YD4KYtW4djLi80aBSNHj/dhc/jLFNlWfONPmdr69z1HPpDDzuHYyQsgxVFaL6kRuSZRndkT9NWZZYbFgEUUwcZ8iKxHNnGqzNlylaQpji+jGuHzF2fTJkurZH96pHnAizu42FMu/d6RInKeeWa6y2i8RJymAc0B8FTLyINMtIsgx5mui313G4uT1AVWXGbshh1+HO7ohmxaRY0Lm4WjtlRrfQFKKNNM0wDYUzUxOBt24cUbA04iSlM/SwDZWNpcopMewnxWBqEgJAJv48E3F8Nrh+xLV7ok8/dERipqFrREma99GGJ8ZpBVEXHw9cRpOQn7y7x63NAaqikKYgS1Av22wfjIiiBF1V6Y6GZGmGaagULQ3DUEmzjCvrdd650yFOoFE2sSyV7tCjVjQZToR4umQbOQchjFLS1ODsSgUJqJUs+mMfxw356zd3iZKM7cMRB1OzV8NQWGwWKZoaO0cOsiQ4TIoiszxXQpne31GcTo3psvy8D4Ib5PoxiiyxNDWqm2GGGR6PuZqNF8SMJiElW2e+Xpimcorn5txylXv7I9I0y1M5T2YHO0ej+yYLGYRxihf4+EFMydYxdZUbW308PxJmjA8lMG0fjtnvTtAUmVJB57sv3k/tTKKMhfZ9LsLbN45ZmM42e9NUzpM/j1xhSDP2ImQJLq3X+eBuj7EbUrQ1CqaKoigYOkhI/OefbnJnZ0hGxvbBiIvrDY76HkiwsVDh9f6hWEcliSRN+ZPXN+mNAhYaBdYXSiy1RE9TUSRevNDiR+/sAfDShRZBmBJP/269YrK+WGYwFkK0OElz8cTICZEk8vPOfEMkokoyyJJIXF9bKLO2INKK9zsO20djZFlCUSQWm0V+8cEBYzfi3HIVU1MYTz8rXRcJK7d2Bhi6OhVoir0gilPu7Y1OGbscdCcULLEfP2mu+ln2/wcxdAKOp+aci83ibObzFUSSpLx/p4vjRsiKxMZC+akTVmqGhqZKRLE4uBqaxFehNd4sfjm4HJ8EA8fjZJsJopSJ/3hD4N8EfCr26NmzZ/m3//bf8r3vfQ9Nu38DhGHIv/k3/4YzZ858bhf4VYOqCDerMBJ3oDVVgD6MpVbxiakPQZSIwsSLkBCkQMeNWGkXKRd1zixVMTSF65t9rt7rcmca0RXFCbvHDrWSQRAlopi3deG2F4lC79bOgOubfTYWy2wejLEMRTQH0gxDk2lWLLYOxiRpxvdfWuaZMw1B/B769Mc+mixz2PPojXyaFQtDF8rZdl1Ed54Mglw/ZvNAHPhKtnB7a1QsPrjXZb8zIUnh7v6AN64dUinqtOtF2nWbLOMRAYcXxPzNO7vc2Brg+RFnl6rM1WySNGV9sYKMIMh9lIhjpV0ijFL8UJDlWzWbvhPkjuDVL5AcNsNXA92hnzev4jhl4JyOuA2i5JQLfRSnnJmmuJQLOvvdCZsHIxw/YuJHvHe7g6mrrMwVWWmrFEyNoq2SJMKR0gsSRpOQ+WaBc8sVPrjXo2zrfO3yPDuHY3Y7Dq2KhaLIbB2OqRZ1tg7HRHHKlY0aiiLx3LnTKuw///kW/+7Pb9AZBBi6wnzDxvUj+iOfbz27yPHAxdAVNFXBcaNcEjHxIt66eUSn77HfmQhFfc2mZOucXaqQJBk/v7qPHyZcXq9hmzrXN3ukacbFtSoTL+a/+cFZvnZ5ARDEiqUoue+0k0Fn6FEtGcw3bHojnyAURITzKxXevd2lYGoosszmwYhzy9WP/L7u7o1EtLChcm2zx3gS0qhYdAY+1+71PjSl4sGkgSwTZJwvC/n1SbAMlXJBz699JkL7ZBhMAlRNpmCouGHEB/d6wrGmZNCsWuwej+g5EUM35qDn8gff2oDpvfEgcfrkllYVGUXRmKsXCKKEdt2iWbYoWToTL8Kenh/u7A6njk9iELE6X8oFSLIksdIunkr0AuFm602J35WiwdbhmCAUBO/u0KdeNpmr29ybCjQsU6Vo6xiayuW1OnGSUisbJKkg/kw80ZhRFRlVkfjxu3vsHI7RNYWvXW7zD35wnksbdQ66Ezp9jzTL6A19ekOfyxv3nZgUBd68ccxRz0WWhbNed+Dhh/cHM52hR7NqsTZfZu2BCFFZlvnFB4e4XkSSpNRLBm4QESciSSuMU8JIDHW8ICaMEhRZolERTaggTHnhwhzv3+7y/t0etqnyD37r8QlLQyfg9s6QLMu4uT2gVbOolUyGzn13DBBkqpPUMUmCclHcC0GU4E2HTZ+GsDXD04Usy7i22cvP/o4X8VuvrPD2rQ6WqXLc94iShHrNRB4ExEmMH2ZkGWQPCTgUBSZBCqR4QUzJEg1S21ApFXT+/vfP8t7tDpqicGtnyIIfs9IucXm9zn5HxP1+3CZKd+jl5MY0zeiN/C/NPmabWi5KkWXpC00JOVkPAHpTIuVJU3mGGT4KUZLiBwmDsY8kSzQrFtWSwd29IQfdCX/z1i7XN3u4D6RZRbH4b23qSvIgJKBgihjscsmkO/RYWxBOTCf1xd7xhIKpndp/SrY4I798aY7RJOTCWo31hV9PkuSl9RoH06HG09bknWGGT4uFVpHzXkR36NOomDQrlhjQSdDUTfzpuTwMhaulbakokkSawZ29IUmSYZsaz569Lxjwgpj+2CeKUxRFwrY0qmUTVZZxvJCVdpkwirEMhb2Oh+tHTLyY9cUqL1+MmHghl9Zq/PTqIf1hgGkqXFypUS0aRLEgE8VJmp9zOwMXbWru8/6dLh/cE7X7T9+X+Ie/df6xabQjJ+Cv3tzFm76/61s9Xpima3h+Qt8JWJgSyl97ps3fvLWLF6QstgqoikJ3IPbZwThgdf5kuDmhUTHzM8qtnUFOzjrquaRZhjztuS7PFTmJI1hsFU455f3XX2zjTgXYnYF3Omn1AU2t9IDpQ2fo8s6tjhDXAT96a+9DRRxhlBDG6SOibu1TuGNlWZYLOIBpHZI+4v4HgpC/2Hxy5oAiSyhfosS1ryJMXaFS0DF0kQ7bH/mM3Yg0Sdk6HNGs2BQtjeOBy/mVGq9cEqYh3aHHYDSiN/ZwvWiaYCVStJ670GS+WmCxVeCgO+H23pBfXjukP/KRFZlyQRcpNKqCrolU3qkZMo4XEUYpb10/4vxKlXJBf+ScbxoqF1ZreTquokjYhkoGbB+NWWgUpmZPkTBvqhdYXyjnZ3RDUx651x/G8bRWjuKUe/sjlucSLEMljFPOLVc/cTLsSe0N4E3Jkie9hmfONFhqFYjiNO8BzDDDDE8XTlI4FpqFGRn4Y+Lrz8zz12/t8tP3DvhHv3/li76cGWZ4BN3h/b07itPTyZwS0wR7ibNLFe7tj3jrRocoThm7IXNTp+/+OGD7cMzLl1rsd9383L7QLHB+tcrICSlYGvf24ah3/98bOT7/+t+/y9bhmGbVot2wGU5Cto/GDJyAME5QZZnlVpHO0KM9NXvaPXJw/RA/EGZVEzfBD1Pm6za6rrLYKvDqMwvUyya3dvtiPrlc5efXDnH8CEtXCcMYkHOSa0ZGo2Jhmxobi0XSTIhajvqChJ+kGaOJOAMuNAtc2+wzcoI8RWToCKOp3eMJK/MlLqzU2D122Fi8X5OVbJ0XzjcJwgTL1PJzmqGp07Q4mfl6gTPLlc/c/3347z/I55jh02HsRnmfvlzQmfgRiiKxPFckiGLIQNfk3NwARD//xuaA7UOHSZDQqppEcUq9rBMnEnudCZNpX8ILYjKJPA0zyzKiKGF9ocKltTpBmFAuGvTHAboqM7dgocjgeELUFEYZl9arlIsGpqagawqaKnPQddE0mXbdzmd+Rz0XxwsBiThJGU0C/ue/vE2WZVxer7M6L2qKq3e7vHfriM7AQ5ZFUs3GfDmvz5NUGDWc9Ci8MJ4JFmeY4UMgy9KpfeFhFCwtr8FdP8rnmQCqqlIpGozdUCRVmCq2ef88/pdvbOcJD3udCX/wnTOUp+f1iRflxqtRnDIcByJVY7qmVUsP8e8eaCMYqoKhK/lcY7lV4tVn2mzujtE0mYKlsXM0plI0cNyI4753Kg3gg7u9XHxyZ2/MS5daeEGEocp866UVrm/1Oei6FCwN21D5q1/uEiUpH2gKv/vNNTYPxky8iJcvzZGmiHlJlmHqGsstk7v7I3RV5muX28zV7JzzdWOrf+otXb/X4xfXDomTlLOLFaplk2pR9CU2D0Z8K13EDUTC8EKzyG9/bSXvGd/ZGQqDYIQRxpmlKralQZah6wp/9ZYw3hQ/H7M8V87/3ZKtEU9/JknQrNl4U7MbWZYeSe79vOD6ETe2+vl3nKTCEGSGrxbGbsjdvaHgA0qiY/60zfeSODlllpemfCUER5r29J29c8OrKQZj7wm/+eVFlmXc3RvRH/sUTI2zy9XHzmo+Cp/q2/un//Sf8k/+yT/hd37nd/jhD39Iq9Xi+PiYP/mTP6HT6fCv/tW/+jQv+xuBExHDXmeCJPFEocaTcOLkv3/skKQZC40CEz8iQxyuzi1X84Llg3tC+RZGCVGcECcplqEhyzKSlFGwddYXywzHPt2hT8HSOOq5xGlKf+wxdmPKBQ3L0Pjha6t0hj5RIhopR32XckFHlgRZeblVpGQJkvnEjfACIRoxpurKM0tlRlP3wJKt4/oRrh/l6tkTlWejbArSWpbSGwbIkhgUTfYGbCyWaFbsaTTjfQwdn6t3hAOBFybc3h1wdrlKZ+CRJBmWrZ5S/A6dgOO+h6aJBsyJotTU1UcGRFc26gzGAZahzoiWM3xmGPppIrX5UAqDH8R5IQIw8e+TCHaOHI77Lq4X5oKFIEpIkoytY4flVhFNlVlsFDkauBz1RWNjfbEMGfzD3z6PJAmh1vbBGMePSBMRITxXs6iVdAxdJUlTCqZKFGUiBvghxfX/9vomSQq6LhNGCboms9Iq0awK0lm1ZKCqMs5EJIogQdmL+Nn7+9zZGdIbB7heJEglpYTe0GepVeTGVp/O0COKBDF1fbEsiosUCqZQj19eP02IePjzPCk2NFXhubNNwjhhOA7Y77r4fkx35GN9iLP+wzj5/KtFQXQXw2/xb/ZH/of9VcoFXTjOIAqjkv3lIL5+GCRJ4sJqjbEboijyI04JM3w4tg/GmLqKpij0DwN6owDLSIjjlIsbdbaPxowmAaaukqYp3aEnErMeuDcqRZ1aSefewZhm1UTXFGxD5dJ6g3PLVYZOwEFPuOhWSwbnV6oMHHGflYsGEy8iilP6TkCjbLLfmTBwAp57gOD1YErMrZ0BRVtjMA6wTQ1jen9nCFeOoqURRimlgo4iS0y8+4KTLBNEpAurVXaOHOoVE9vSOOi73NjqUzBFc+D1qwf8/rc3MHWVtfkyYZTQHwX59Uy8+8SKg64nGii6guOGXNvsISsSnhcLByBdxfqQ9JokyYjTjIETUC+bGJpGkkRUCjqSBKYhHDAW60UsU8My1bxh0aiKPf6//93LH/ldn6wNIppcxg9iKImC9c7ekErByN09VUVm4kWUi0b+TJ04Js/wm4E4SU81PD1f7PVxlNAf++J+mrpMI2UgKchSTAKQiZ7lNDTvlGN0nAjHm1pFONJpmkzJ1k+56R72XFbaJTRVycmOHxcPN/B+VQ29T4ONhTK6KhPGKe26na9dXwQebiycrA8zzPBxoCky3aGXC2jN6dl2vzPh59cOeO92JydzPwJJQlOYGi6INUJXJUxT5dxKFT+MMVSV1fkSO4djLFOhWjSRJYkwfrieDvPUjmrJzJv7vw5oqnIqeXSGGX4TEEUJEz9CIsP1I9KyIVzYYOrWKoRNcZYSJhnFqUvacBwgZRIDx2d1oczQCaYJdqI2P+7fb26vzBXzc/PKXImirQmnPD9i80A4V/phzH/9xRYFUyND4vWrh2TpNMlTkXnvThddlUkzQYj4v/zhs1PSj5oTKUG4ySVJiiRJJEnGL68f4fgRsiSxtlDOz8DOlIR+gji+v9YoqsSl1RqKKsgerhexsShSBzVVplW1pyISmSg5vYY90ELBfcCJt1WzqBR1eqOASknnm88uoCgyWZadErn7YZwLOADRR41TdFUWZ6h2ie3DMZIksbF0/zyVJKcFt8mTIj8R/YNbOwOyDIq2xnK7SHcgUlE/zSBTkiQMXcmF+KoqfyRhfoYvBrd2BvSGPscDjzhJKRgandRDUWSCMKEzFAYku8dCyPXMmSblos7ICfHDhLv7IyZuRJxmpAnohjBsGY4Cvvf8MrIsIUkSxwOPG5M+QZySRSlJKnrsRVujYKkokowXxhx2RT8hRRjJ/PS9A9I04/xq7ZF7caFZ4LlzTe7ujmhWTRaaQrhRK90XTrkPnH0vrtXZO3amff2Md251sE2VjcXKY11xzek9LASqWf477qc8T5sPPBOSxCM1QrU06+vPMMPTjJvbggw1S+H4+HjlchtFltg+HLPXcT5U1DnDDL8OJGnG3b0hE08kxBm6ApP7Pz+/Wp2a3YjEvZP5qTJNyOuPAyoFg2ZVmLiZhkrBVBm7IT9+Z/8UOXXiR6y0S3kKnabKdIc+fpBQKmjc2Bmx150wmoh5y2HPolW1aU+NrZIspVmxKNk6y60SC02be/tjFEWiWbGZq3kMxgGDKEAG0kyYZ8zXi5QLBudWqiRpys8/OOS9Wx00RUadntvcIMbQNCxDJSNj50icz6I44S9+uYuiKrx0oUV9KjwtF3UqRZ0XzrfEuTF1MHQVRZYZOCGOK5I6siymMFRhpcbjShNNVR4x+1pfLHNza0Ccis/88zDwadUs0ixjPBHp8LMEtM+OoqXlpGdJkriy0ciJkuG0v2DqKgfdCY4bUS7o1CsGbhBjmwqaK+rglbaozw+6E0xDwQ1iHC9CkWVIMzw/RpKECeVSq8Ct7T7zTUFK7gw82jUL109451aHIIzxw4QgSilaGmmaMXQCmtOUF0WReP58M+9TBJGoeUZuSBCltBsF4jjh1vYQQ5NRVZk7u0OaNZvzFZN/8x/eZ+wlFCwx2zu7VGE4iXh5pcb24Zg0FYmhJ3iwFzDDDDN8NKI44e7eCC+IadWsU+dEQ1dPmVIvNG2WWgW2DsaUi8J8cv/4/gY+8e8/f0mSMRwHuYgje2hD0nWFjcUKIyegYGmPJEFsLFa4tS32pdWFMpfW67x7u4MsS7x4voVlqCzWS9zZGzB2I3pDnzQ76VOo+f4nUkYUJl5ERoaqaPzFG3v4YYIsS/ScW8w3CpQLOqqisHk4wp3O+qI45c/e2KFs62TAT97Zn/ZWpv1ZJ+DvfH01P2srisxBd8JeZ0KjbNKomIK7kQnDzrduHhNMP8sb2wNeON/K9+OCpfHBvR4TT6Qpn1+p0a4XaNfFGv/GtaP8s8kyqJUNDE0hy0BTJbGHTxNB4iRDlmHnyKFk63zruQXCOM05CpausHvs5HPVj5N4+mngBfGpc8hsff5q4uTeAvGcD52nLzkhiNNTvf00y4jjFO0L5Bx8Lvj1jXc/N/jR6XlP33n61o3OwM8NhkaTkL1jJ09Z+iT4VGyc3/qt3+Jf/+t/zb/8l/+SP/7jPyZNxbDu+eef55//83/Ot771rU/zsr8xMA01d9f/pNg7nkAGjYrFztGYiR9xab3OhdXaIwORNBULjSCMZqzMl3j/ThfLUNFUUeR967lFho7P/+9v7uL6MUMnxFBlIkkcstJEkM/GXogsSaRZRsHWaFZMdo4d4ijF8SL2jo+plw2iOKFWMlCUIsvtIs+fa7I8dxI1JiNLQv0fxSnp9OASTh023r/T4fq9Ppomo2YySMKxQVMVolg4WRRsA2vaRHgwlr1garhT5ayhKdTLJvWyycZimVrZzIUafhifUn7GccrZD3HkP4lqnWGGzwMnz4IXxNTL5ik1OJzc73KuCq+VDPww5s7ekP7Ipz8KhNvFSDhslgsaJ5L0OBGxfdc2e3SHPsvtImkK40nIXN2euugrXF6vMxwHtGomW4cOrhex2Cpi6gpxktEdeoRxiqrJNKuPNtdOBsS2oRFrKd94ZoFnp0Pd4SSkYGo8f04I1QxDIY5TOkOfoROiaopoAKUZqiKhyDKVok7J1hhOQnRVpl426Y88tvZHJBmkScrGQpkzS1UKD4kKaiWTtYUy/bGPbagsPKDulWWJg66bu3r89du7yIqMpohYw8t8tCNHrWTkzsALjQLbh+P8Z0tzophNpnG1DycqzTcKKLKMF0TUyuZTs47IsvRIwTzDx8PGYoU3bxzjJWK/VGUJTZFQZAVbl1BlmTDKCEIRH52mWR4RfoJ46qpbKxn583ppvU5vJEgf/bGfP5eDccDEj0nTlLduHJMkGedWq7z6zDxv3zjOX9Pz41P7pTN1w4jilP3uhFZsTdMAXJbnSlSKep48JfbA+++xVjaFOAshojINFWXq3nHYc+kNfRplE0mSiOIUXVOQJPHekzTL3bWy6ft++H5TFQldVVBkmf7YR1EkZER0oaIKx57FVpEkzR5LUlppl0iSNHfDL1oaiiKxOl/G9SP8MMGPkmkqj8TltRq7x6JhfdIQ+TioFg12jwQ5ZalVnK51GboqMxyHDMchqiLW0MpUBDbDby40VaFgaXkzo1oSRE1Nk5EyCV2VybKUalEnCGOSNEXXZJIsJYpBlWVURThaPahjlgBNkTi3VKFWNllpF1Fl8VydCEL1xzg7J0n6sSJx23VBlnS8iErB+FIN3BRF/sSilF8VygX91Gdee9g5aIYZPgRRnDJXt7FNFVmWKBdEYuZ+x2HvaIIXJnkN/nhkKLKMRIokQ7GgUzBULFNloVVkfaGCLMHW3pi944hGxeLMcpV6+fR9+rAr4kzIO8MMv1rsdRxubw/w/BjTUNk7nuQpiGGcMt+w6Qw9zi/XOO57HHRdZEmiF8ZsTmvS9253sHQ13w/HbshKu0QUJ9imRqWo4wYJlq5wZqmSp1btdZxT+5brRWTT/54EMQVTE4mAsnDFVGSxBoVRigQsTo1oTkjmQE50yhCihjBKcqH0re0+L14QaRutqiVSep0QWYaVdp3FVhHPj1hsFTi/Ws/drt671WG+USDLMpIkI8tSmlUTRZEoWDpBmJCmGa2aRdHS8rq8Vhbn9CTNqJUMXr0yL8SwH5KFbuoqjYqV1yqtmoX+gEvSfKNAu24/VLeJ9fviWo17eyNkWea1K+1Tr3trp8+NrQGWrlIuankf0nEjllpFmqvm1F34kzsyAVxcrbE9TUlYnit+JZzCvmrww5je0MdxQzp9l+7Ip2hpuH5Ms2Jx2HOJ4pSjgYehKbx7u8ul9Trr82Um1ZgwikUfPRPD+kwGTVOwTHUqMCoyCRImXoQqS/mzmwr7XBoVk1cutxk6AdWiwY2tHmEUi8RZVULTFCpFnYOei6EptMoGti3OCGkqxpjPn2vx3Nlmfv9nWcbVuz0cV4hMGg8QpwxNkDF6I59b2wMAgjBBVx8/tDqzVGXrYETRFr3QE3ey2mPEFmEYf+TzcmapwtbBmDhJmW8UfmWEhBlmmOGLwQf3egBcXKt9wVfy9KBoaTx7tsHbNzv8+J19/ve/ff6LvqQZfsOxd+zkffvDrsvafJm5uoQfxrSqFo2KhTydK5z000USdp8oTknSjM7AZb5hUy2Zp+YDiiKhKFLuRl19qB9fKRp898UlJl5MqaDx//z/vovjRvhBwsSNMDWFoqULcrumstC0RVJgo8DaQjmvp9p1Gy+IcLyQkqXiRzGWoeL5Eaqi4QUiJfyX14/YORgJgx5J9HclWSSylmyduWmi2rnVGj9/f5/eKOCo7+IHMe/f7tId+KzMl3KivmWoedLZSb93pV2kaGsMHR9FkXHcCFVV0DX5kb7Pk1CydV6+NEeWiVToJ81dPinadTuvcWf47ChYGpfW6/RHPpah0aqJPn0cpyBJVAoG3aFP0dJZahXRNcGrWZkv4gWRSNDQFCxDwTQE/0aVFTQ5Q9cUdFUmycDSZQxdFX0BVWHkTvD3EpIpr6dWMkjTlCCMKVo6qhIDEfWyQdHWTiUJFyyN1XmRDuyHMaauomsqmhJhFBRMTWE07XtmSBRtg0rJ4OxShXJB1PiWrjCe9i8MVWGpVRDmaWWT168ecGtnQKmgs7FYoVY+qWNS4jhF/xAzuAdxUvfMTBFm+E3D5sE4NyPdOXQoWnrOW1JkicsbDY56LooiZhbX7vUoWBpJAuo0GWriR1SLBpIEH9ztkqZQsO+vUQBFW6daMri3N0LXZC6u1ShaGqoiPWJ2C2LedrIvnfQhvvfS8qnfURQJQ1NRinK+l5tNhUtrNdGD8SMWGkXOLlVJ0j5ZCpWSzngSIk/5CgfHE+abReIkI0ljDE3sn2kqDCYkBJ8pTTNQJNQHRJDVknFqjTnoTvhPP7lLEKboqsT3Xl7mykYDz4+pFAU/ywuTaXqGyvpikffvDFAVeP78ygNEeGHu9WA6yVKrmJ+ddFVhuVXMzTbDOMUPE7pDTwhAVmukKbRrNooi0x35U97H/dd7eK560h/+PHuKJVs/dSY7WZ8f5KrM8PTDNlQWmkUGYx9VkVlsPn3nvoqtC7GXL84vtqE8lQKOk95xDunpe85sQyWI7pv6NCpPH9cieSiMIH7IiOzj4lNbqn7zm9/km9/8Jp7nMRqNKJfLWNaXh9zztKM79OgOfUxdYXmulG+cJxtblKTsHI7pDHyCKOHCyqPNy8VWgTeuOaRpxpnFCt94foFXLs1x0PU4u1RmbaHCzuGYg55HtWjSbsgcdlySLEVTFMgybFtFlmSkVAw9ayWd7vSg8O7NY6EkkqFs6Sy2bDTFpFLU6Y9GbB2MCKOEatHgsOfSnQ6uwiTF9SIsQwxK7+4Oubs3YnN/RNHSmKvaMCWr+KGILD27VGBjqUqzapFlGe/fEYpUy1S5tFbj8kadm1t9qgWdFy62WG4X8fyY/jhAU5X8sCMiTu9/Rm7w9Cm4Znh6ocjSh7osaqrMM2ca9EY+mirTqFg4XgQZuSOuqsjUyiYTPyGMY+I4YaVdxNRVEXGapPhRwlHPY3muSKWk88xGA12V8QLRUFxplxhNQjYWKnhBhK7J04Ik4+WLojBSVYW1+dIjTbv/5vvn+R//5DpRknBhpcnvf3uDo75HlmVsH47oDn3u7A4p2hp394ZEcYo5HTIXTY2oaLC+UEZTFOYbNi9fajN2Q2QJbu8M88jksq2jqMKdRp0SvX/63j6OG9KoWLxwvoksyx/aDBxOi8/BOCCMUyxZQpYU9o6dj/V9rc6XKVgaUZwK1fw4YK8zoVm1WGoVubs35LjvoSgiweLhhA9RpM72xd8UXFmv85dVk93jBNtQp6RL4bJ92AuIU5Eyk6Qp1bJBq2aTZhlbh2MWp4lUfhBz2HVJkgw3idnvTri80aBREUOMJMnyYh5JiB52jp1cGLnfmSBl2SnCuG2qp4rickGnN/JFqlUGlqmKlIyFMs+faz7ixgSweyySgAxduGVLkhCTPrg2CPdM0UR4/lyD2zsjLEPley8voSgSV+/28mvSVZlaxaJZsU65+6/Nl7i8UWf7YEwYWzSmCVitms2V9ToZ8PbNY9I0Y6FZOOXcPVezOe55+GHMXMOmbBu5MOzZc03evnGMMW2qbB+KpJNbu0NGTkiaZex1JhRMjVbVemLyVhQnbB86xEnK2kKZJMnww5jOwKM38lAVOf83hHvo7PmfQeDSep3OQDTSmhWLOMko2jpFWyOIE7wgZTSJCMIUL4zF2qFKzFVNUjJGY58MTsUMK4rExfUG33t5if2OIF5dvdtjbb7EUd9DkSVW5+8/I2macWtnwGAcTJul9SemawydgMOei64pnF+ufizRx28qbFPjykad0STEMtSZaGuGTwQxQBVnBhB79EFnQmfoM5oEqLIEmoyaZaRpKkwaEGuBpsooqkwSJ7gxyBk4k2ga/ytx1HPpDj12jxwcL6ZZMVlfKtMom4/s9ZWicIkUyVzqUxd7PMMMTxsOexPeu9MV5GZN4fxKNa9pB05AHCeAxFHf49xylTjOUFUJRYHdYEKcZsiSxH53Qm8UoKsycw0LTdGRJAllKurMUiG+8MOYg55LGCW0qhaX1+scTc/2WZrx3t0uWQbtmsXqghA/m5qKF8aMJxEgCRLEA0OMCyu13FnohfMtfvT2Lrsdh8VmAVWR2euImnvugVrdMjX+ux9e5Mfv7GEZGt9/aRHT0EjS9JF1aa5u0x8HSJKErkuEUyKUZaj8wXfO0K7Zea/ixlY/P99UisIII0kzNM3+2EPIv/XaKremDt+P66+eDI79MOb6vT5BlFAu6PzuNzY4HrjoqnJqSD0Y+/z0vYPc+Wr3GC6sitdNs5SfvLNPZ+ih6wq//coyzerjexoTLxJJJ2nG8lzxlKjWNFTOP+ZaZ/jyQJFlYWSSZEz8mCwTpg0bi2VkWWLneEwQxlO3RInRJOTf/fkt1ufLnFmq0KoXqBYNxm4kCARJiqpIlAsa51eq3NgeYmgiLaZRMRm7EfcOxqRpxvp8kR9+fQNJgufPNYnihP3OhGfPNNk6FP9uuWhgGxq9gcfNrT4/fnePhWaR7z6/SHcc0B/5yLLEfKPAxmIZ29REgutKlZ9/cEgQCdLjcd87df+fGNM86c8n0FQ5N1YKo+RUL/RB/NWbO2wdjNFVhe+9vPTEc4qmKh9q1DTDDDM8vUjTjGtTEceV9Vm67SfBd19c4u2bHf7qzZ2ZiGOGLxwPE1n8KMYPY/xAOPpvH47Z7whn7/3uhGfPNGCa9qepCpWCztW7Xfww4fe+ucZh3+fmVh9Nlfndb66z0i4xcAIMXXmsKPRB08Zzq3V2jhyiaaKgqSukWUbR0lhoFlEVmQVDY2Opgqkr/PVbu2xNBfWX1+v8H//2JbaPRvw//ud3OehMCOOU86s2ZGLOOXaF4D3LMs4sV4mTjCgSBhyvXGrz2pV55uoFNFXGmYS8d6fDYdelXNQhg5s7AwqWRr1s0qrZLDbF+UdVZK5s3J8hK7KMZajsHjuUV3UurFTZPBjz3u0uJVvnb726kpM9PwyDccDtXTGfXZorstR6fHLPSc9YU2VW2qUZGfPXANePuLs3Io5TFlvF/Nx9Y6vPz68ekCFMhWolYb6qyTIX1mpcXKvx/NkWo3GIF8QMnYCtgzEFS+PCag1NkVlfKrN7NGH7cESaCnMAx4s46nnc3hkKA0VToWwbQEZn4BOnCXEqkjUqRYN6xaRcMCgXDJ47J/gPWZbRqtlIwPpUzH1nd0izYlGdzkHPLlcIo4Sjvs/usYNtCAJ2u24TJRkvX5rj51cPSdKMatnkW88v8ty5JgBv3Tzi7ZsduiOfe/sjZEniwmqVzsDlz97YIQwTllpFvv/y0oeKwLtDjzu7w9wYYfEJ9/0MM3wVkKYZ9/ZHjCYBRVsnjE6nf5/M+E9gaPfTs4/6bk72Bxi7Ud7jAvHM//yDAzw/ZmmueEqckSSCG1GyNZGAMQ74zz+5x0F3Qrlo8A9+cI5K4dGZ2kkfrjNweedWB0WWeOlSm7KtU7JFQs8JcbxeMdlYqDCahPzV23v5GnDlTJ1q2SBNM8q2xi+vHzP2ImQJmrUCraqJG8ToqkK7YXPtXo/eOGCpWaBRtfjltSOyTCQW/+G3N9iZpo9c3jhtFHtvb8hRzyOZJmHc3BpwbrmWG2V9/+Vl/usvtskyWFsosn3okiQiQfXnV4947mwzfy1VPd3HfPZsk4kXMXB8rpxpnNrT4zjh4mqN/a4wxS5ZGjtHY1w/RlVkLFPNDYYfh6Oey72DESDW6rna50PC1zWFZ840GIwDDE2haOu8e7uD58fYpsql9frs/PAVQNHWadctRhPxPX+axIEvGrJyYigj1r/HcaSeBjzsAfg0ylJfON/kL97cB4Qo5dvPL37BV/TJ0axaHPc9vECswQvNTzdn/9QijhNYljUTb3zOcNyQ2zvD/M8Z5MTvjcUyt3eHvHXzCNePSTK4erfHSrvIM2daOG6IoQl3bFWWWZ4rkaQprYpJwdBYbBa5vJ5xe2fIn/1im7euH6JpMhMvJEkFibM38llqFfHDGEWRcP0EN0zQVJmiraNrCpWiwd7xmJErRBCuGzFXXeOw73HYcwmilErJxHEj3rh+hDU9rB31PZI0wzZVukOfNIP+yAdJxCwqskStbLLYKvCPfv8yb988RJJknj/XyklRe8dOTgT1/JiDrsvXLrcpFzQ0ReHZc01GkzBXpQ6dgOfONjENlaKtnYp/azyBqDnDDJ8XOgOPe/sjJEk49dc/4p7TNeXUQLJgqpRsjYETkGQZSMJ1ZWOxzMQLUWSZgqVimRo7h2NMXUWWxJDUDxPKtoE2JXZOvAhZlji3XKFc1Nk5cugMY7pD8cynWcZis0C9YvLLa0f8/Ooh1ZLBN55dyAkbX7vS5sqZBkEo1OOyLGKIdV2mOxAkUz+Mub3bx9JVkhQSJePMUkU4B2YVzi6XkWWF/tjnl9cOcbyIKIqFA6gk4QYhrh9Tr5iossT2kcMk2OH6Zp+SrVMuuKiKxHK7hCrLlAqPb0IWbI1gmKAqErIk4h9lWUJVP35h8ODwuFWzaU0LmLEb5jGwSZKxdTDmmTOzIdJvMm7uDKgWDAxVJo1TskykYTleyHF/zFHPFXuzKnPU80izjJ2jMX4QM56EtOoWpqagqjLRdKARRQk7h2PmGgV0VWZjsZw3bBdaIlI8CJNTpGEvTLi4VssTM+YeEjnN1e3p3h5RtDWiWJzsl1pFNFXh9asH3NwSz+/3Xl5CUxV2jwQJK4wEwercY4gRzarFUd8jjlO+dnmev/fdcxRsjbKt44dxvm/7YczNwzGLLaHOf+5sMyeIy7LM3/n6GnudCWGccNwXTY9aWTSB373VyRtF+50JraqVu2ABZJIoTFZaJUxDwdAVCqbG5r4YnJwIrWR5SojaHdIb+YwmoXAzWqszcAKePdN4bHrOze1BnmQydkNeON/irRvHZBkULZ2dozHlgo6iyFQfMyj6VaA/8rmzJxrN6wvlxyYozfDFQ5GlU4JDWZboj3zGnnCwBeFc7YaxcGhDNFVVGbqjAEVWSNKEKD1J4IBSUadds/D9hM7ApTNwsQyNgqU+dj/qj/3cWSeMUnaPHM6tVB/5PT94KLUuSR/7zM9wH7Pkvhk+LWRZ4spGncOeiyLLNComP353D00VyVSaqmBO0+u8MML1IlQkTEMhTlKyNMEPpySITBg9yArc2x9RLxsc933CKMbUVIIoZedwwvNn5x57LSdJljPMMMOvHsNxCJkY7ElkPDgfMDWFPG0zTrmzNyCOU5JUwtQ1qmWTbCrs6o99DE2chaMkYW2hQhRP0zPSDEWRiZOU168e5k60Qyfg2bMNLq7V0DWFP4u2iNKUJM6olAz+9mtrxGlKydL4Tz+9x5s3jskSOL9SOVVHy7J0qs747VdXAXF++U8/uTd1gZMoFcRg2AtiCtMEguW5EkjQG4ccbvYZuyFLrSLnlqv5kPbyep2D7oTRJKRVtTjseTkR6+0bx/ztr68hSY+eb96/02GuJvop44kgq2QZmPqHO/grsiT6ltKj7nPbB2PeuXWMIsu0ahbJtB4ZTUJubvfxw0T8fVPN6w3HjU5Fl1vTfmQYJUQJdKapH2GY8Ma1I/7ON9Yfe123dgYE07Pind0h5YKRpxXM8OWHpsqcWapwTx6x31UxdZFUWbQ0Ng/HyJI8fU4T/CDmqC8EQVGciu+7qLHQLBDGCWNXYWmuyFzNRpGlnOQQRAmTIGZtocKVjSalgoGqyjx3tsFz55qkacZBb8Jfv7nH9tEITVFEMrYqCH/doctB1yXNYOJHjCYRB90Jr11Z4Nq9PsdDj/m6xdhtc2mtLmYF09SPk3Vlv+ucEnHUyyYH3QlBmCDLEu3GRxMBHu6FnmDncMzWgSBMhnHCL68f8fvf2vg8vp4ZZpjhKcLW4ZiJH2PqChuLTx855IvEt55f5P/2P73D3T1huvdlSTWd4TcTczWb3sifijJkDnsTfvrugUjiqFlcXKnnNUcQJrhBTMnWaddttg9G9McB51ZqVIsGN7eHlAo6pYKOpkgMJwHnjRrzTzCseRhX1uuYusyfvr5Ff+STSRJxkrE6X8YPYvojn2RqONesmvl5BAR5vmRr/MUbOxz3hWmPLEv0hh4XVmrCmA8xo5WljLV2iXbdZuSENCoGr15ZoFoyUBWZ3sinWhYE/GpJQ9cU+k6IpSuULD0nl6uKTJZljN0IVZHyc1MUJ2SIdEEkOB769Kf10dgNee9Ol288u/CRn8e9/VE+d9k9cmhWLYyHnIiDKHmkZzwTlf9qMPEibm0PCOMEx42wTZWDrst7dzpc3qjz7Jkmb1w7JMtE3+DN60dcWa/j+TGjOKE/sjjquSy2ijRqFnsdh9EkIk6Es31v5HNlo8Fis8jzZ1tsH46xDJWxGzHxQv56tEMQCdMJP0iIYp/5uo2mgSkJV/3JNFHzmTNNGmWTWtmkN/K5uT1gr+PQrtk0pyYSkiSx2i4ycgJURdTGpqHRGwcULY3vvLBIo2Lihyn/9RdbVAo6pYLBq8+0GTsRq/MlVtrlvKbfPnQYOAHjiRBL+UHM1sGYo75LOK2fd48dtg7HrC9Unvg5b+6P8/t550jUNE8rgXOGGT4KR303N2PpDX1kKeNn7x/gBzFLcyVeufT4mQFAwdREq3L6vDyc4v3La0eUbYOyLYyd9zsOC00hinK8iCBMch7AT9/dy/dUv+fyN2/u8gffOXPq9cI4JU1TVFnOhVkAAyfk737nDHGSsr5Ypj8K+OCeMLjZ77i4fnRqDbiwWmWhUSDNMpZbRZbmirx7u4umyHztmTa//OAIxxNcx+W5EposM/ZCqkWTJE2olQxcX6TpmqbGyw98RqNJyL39IbahkWUZe8cOYZyiqhLPnjkt8vjb31jn+fNNgjChWND51//+PfGDKU9yaa4ojDQ19REz4K2DEaoi06zYHPU85qp2PouUZQlDV/J1zvFCvGkiUpykeT/xcUjTTAg4pt/p5v6IZsX63BI5TF1lvnHfWPMksdn1Yw577hPFojM8PfDDGNePWZw+60d9j/JjBFlfZjhulPN+QJyd4zhGVT9aAP1lwkMaDsJPmQDxRSLNJHRFIiVDlSWi6OF39eWHqgjDdj8U6U6f1iD1M4s4Zvh8EMUpUZxg6mq+uZ7AeyAtwjQEMev9Ox36I1GIp2nGcBzywd0urh8zdkM0VebWzgAycIOIH729x4/fO+DcUpVvPb/AWzeO2D1yuLM7pFI0kGWZiRtRL5tcXqvTqlv0RwETLyJLQ+Sp24VlKIL0GSV4YYqsSEiIhcAPoymxTAGy+07BUxfAkwaAIkOrahElKXGSUi0ZlGyNo55HFKdYpohArxQNvvfS6gOfUcLtnSE7R2P64wDbULEMlSAUhWGtJAZGO0fOqaFmlonmgmmouUtFf+rS97Abx4Pfw+cZGzbDbyaSNOPulFwLYuheKxk5MeGTQFdlDEVm4EVYJZWMFEWRsXSViR8jyzLzjQIDx6ddt2lVbaolA0NXGIz9nECdphn7nQmyLHE8TdCI4pSb2wM0VcYLEq5v9vNG32gS0qiYPHPmvgrcNlVsUz315/5JD3OqfE/TjP44IIpTygWN1YVy7mh5a3vA1oEYHAwnIVGUsHXoEEQpsgyyJKOqshhMlwwKlpqvg64fUS7o/NWbO3iBGAh/54VFXnvm0UbkxqJwySkVNJAkekMf01B5+eKTC9GPi897dXD9iNu7Q+I4ZalVfIR4P8OXHxM/4v27XVwvwvEimlWbJEpwgwRFkhCPfUbR1DENmXJBp14ysU2NkRPw43f3qBZNgigSzrZDj2ubffY6ExoVk9/91hlsUztFzs4ykbR1c3sAiPQX4WYhf6hrzEmyx/JcCceLhCODoXLYc7mxKRxo3SDm9auHfP2Z+VN/90nRb6au8vy5Jq4fYxnKqWanpgpxShyn7Hcm0/QeOOxOaNUsllrCCSJJM65vDcR6JcFqu0y5qFMwtY/ck4/6LnGcYujqqWs86gtibJJkeGFM2RbxylGc0h35RFGK60f5GaU78PnFB4c0KhZnlyunHENEw1o0jwxdPeVUYhkqK/Ml1ubLVIoGBetXT+jOsix3yAK4uzekVjZn0c9PAeI4Zb5RIIxTstQlmN5LEsJlHyBJ4WjgE8YZEmIgJ0tQsBQMTdxvKRk/fncPP0ympEGJ44HHmaXqp762IDqdWuc9JrXOC2Ju7wyI4pSFZuFjufb709cxP+YwdYYZflOgqSJ5M00zPrjXZffIIY4zzi5VGTr+1GlfpG/GCchSRhglZEhieJmlyCCIx5KE6yXoakQcp0z8KN+rMoT796d1/5hhhhk+PzQqFo2qRRil6JrMhdU6lzcaSIhhwckw0w0iJn6cm6LoqsLLr61yPPBolA3eudVh4sXIsoQfJvTHAUEY4wUatZKRCwomXsTICYiTjGrJoD8KiJMU01Bp1wvirJxmlGwNXVeoGCcx9xmWrpCmECUZyoeIIECcTeNE9NQkRK+wP/T5D39zB8cLKRd0WlVb1AkZ/PQ9cYYhg8OuS6Vo5K5vO8cOjalL53ASEoQJhi7qCy+I+eX1I9I0e0TQoCr3a5AkSfnT1zcZOiG2ofK3Xlt9YmLWX/5yJ0/svLc/4gevrACCPPajd/eIp0kCOx2H56cOeWGUMHQCKkXh6nd3b8jz51oAzDUKlAp6Tiq5sFbjyoao4zb3R1ynn//bH9YeerCuyTLxnmYijqcLJ7X3c2ebvHe7SxAJM6KypbOXiHtOVSRMQ0VTZExTYedohGVoDEZlXrjQYm2xzPbhmDBMGDohvZHPcd/jmTMNXD/moDvh5lafo74r3Kc1hRtbA+pli8PehP/4o7v0hz5eMBVgqDL1ipmbQ6iqwt29EUGYYmgqSZpx2J2wezwmzQRR4qfv7efJYXEqTCu06TBKU04TnTRV5tkzjZxwrWufngglPVTbSk+ln9wMM8zwWXH1bheAi2u1WVLoJ0TJ1nn5YpvXrx7wV2/u8j/83kzEMcMXh4Kl8fy5Jl6QYJsq/+OfXM/7jkc9j1bVz+sBWZZyEcHaQpmCqXFjZ4A+nTm4YUyG6MlnWcad3SEvnG99bAL2XM1ic18kiYe2jqmr1EoGsiQRJVk+k0mSlN2jyal05CRN+cXVI477Lv5UtCpEFhJLc0UKpsL/+uNNHC8iThKqJYO1hQq1cyb73QnXN/t0hx66JpOmogZMs4wLaw3euXlMlKTMr9aEoGV69MmyjBtbfYZOSJZlzNVsluaKDJ2QatHIxbVHfffU+8wetuZ9CCdzyVs7AyoFg2rpyeS7IPzonvEMnw/u7Y/yecFR36Voa3m6i+NG7Bw5BGHKYX/CaBwSRgn3DsZCeKEqbB+Oc4JspaDnXAHLUAiCmOubLsd9l5tbfdYWKrTrNmMvYmOhgqGX6Y0DjgcBaZoydEIsQ+Hrz7RRFFXc00UDU1dZWyzn5M0wStg6GNMdekRRymHPxTY1joce+8cT9joTTF3hwpoQmySpEE0FQcziXJHDrsv1zR7HfY/BOCCIEtp1m7m6heNHBLHgDzQqFvP1Ate3RE0teARPF9lyhhm+CDyckHl7d0TJ1rFNMVPfOXKe6KRfsDQurtbojXwsQz1lWPdRMA31FE/wYY5UGAu+YBgJft7W4YifvLtPkmQstQq5KANg5ARcvdsVggBJrDsnfbfRJCSMYnTt/vwxnRrmSdP/rZVMlueK4iyRSqy0S8zVRJ/yoOvQHQakWUYUexz3hbFMmokEk/2uw909cS3ths2P397DnV6HSBiWCaIEVVLIkE69J5FwWsy/B0NXOOhOkJA4v1JlqfXkBKxTe20GfpjkIg5TV1mdLwlupCLTrlfQVYWJH2FoCtWSkV+HoatIiD0litOZmdcMnxlBmNAd+vTHPqoiP5XclChKSNP7vL8khTR9+gQQD0Pi6XsPw0mIqskkSYqqyhz0Jl/0JX0qyLL0mU0/ZyyaLwFGk5AbW33SNKNgaZxZqqBOHfMAGmWL7tDj7p6Is1qbL/Pc2SZ7HZcgjCmYGpomczzwMHWF/e4EU1PJ0oyBE3LQnZAkGUmScWtngK7LvHXzmIPuBNePkVUZU1OoV0xsS2PiR2R9QTAr2hq9kY8XxlSLRu5Ev3s0olzQcX1BDDd0FUVRWWlb6KqCF8T4YcRCo8iL51tEScrOocP6Ypk4SdE1he88v0jB0kShlcHXn2lTK1u06/Yj0ekglPWj6UHs7t4QXZVpVG02lsqkWZYPkxRZolEx2fHFMMzQlFNkSl1TTh0us0wMp3qjgLEbIkkSBUvj8np9JuSY4bMhy041tT6qYfY4TLyIsStI4TvHDmmSEsYpc3WbRsWkM/DJsowgiinZBpaukWQZpqFimyJu9+H7eOdogqoIF/A4TjE0ha4bsjJXxDZV3rs9IIgSDE3BeCC55t1bx9zY6rOxVD0lhFidL6PIEs75iN2jCboms7ZQ5s7ukDSTSTMJd9pgErG8A7I0pTv06UwbOpomi0ItTjEMhVbVYq5mceVME12V8YOEnSMHRZHxw4SjvodtaiRpxo/e2X+siEORpTwmcL5RoDPwMDSFpQ+JDvy4KNo6c3Wbo56LqsiszX+217yzO8xV6PcORpSL+iny+CeBH8T0xj6mrs6KsF8jfC8hDBOiWDz3YZygKjKqIqGoMgVLx9AVKkWdb7+wyPmVGq4fC8LP/gg/iPG0CEkSR+veKMAPEvxQNC2v3etyfqWWDyZu7QzojwJsU+PbLywiSbDcKn2ow+zDkCQpJ3fBowKNNM2oFg1sU8X1YyQJFqZk7RtbPd691WGpWeQb00g7VRHilCTNOOiKw3Vr6hR6aa3GXmfC1sGIeuk+MWw8iUBwnRhPwlxwRgYDJ2Bp7n7jYm2hzK2dAWmasdgqnCKDK7KMF0S4QUxn4FErmsRpShSnrM2XqZaMPAo8TTMGjlg7eyOPIE7RtYzdzhhnElEpVpl4EVsH41ORsJBxd38ImRj0mLpIRbqzOyQDLqzUPhaZ/fPEg/tKlp38z+zs8mXFiXBSVWSWWiUkSVAcD3sTJn6MoUv4gegsZhnE08bmg6eHkm2IPahqMxiHJEmKokh4YcycLs4Gj0O9bNIt+XmE7fLc45uCBUvD0JR8UPS417u7NxQNSmDrYEylaGB9iDhj+3DMfkesCYutwodG+H5V4PoRAyfAMtRHROMzzPA4OJ5wfWmUTdI0I4jEeX+345CmcJJonmYQJhmaDLomoakaQycSCWBShq7LGLqMaQjH74PuhAyxH//glaVZVPUMM3wJ8Nz5JpuHI477Hq2axXPnmnntZ5sqcZoyHIcsNm0OusLBTlEkLq7WeGlah4dxyvaRg6aKs/PIDdncH5FlGboms9xawPGi3IjlsCvIPJ2Bx/t3u8RJiqEKZ/8TEcJCs3BqP/eDGNvURKJmmhFGMdpjnKjiJOU//M0d7u0NhVg6SnPS9r39ERmirjjsuoRRxvp0KOxMotxpN4pTBqMgJ22NnZD373SIk4xa2WShZXPc8zBNlVbVzIe/4dSwJQhF/+Lrz8yz15mQpCmOJwgnIATq797q8J0Xlx65/iCMcwEHCOfZKBYD2DBKcgEHgKHJGLoi3PNs7bSBzAOllK7K/N431tjtTLBN7VQPcqUt3P92jxwMXflQk4mlVjEX9dQr5kwM+xRD1xQWmjaHPZdyQScIE2xDw9AVZEmQJppVi07fo1o2c2MPWZZolEVq51+/vctBx0VTZQajgO7QxzZVwihl4PjUSjoFyyCOU9bmS7x3u4OpK3mKbLlgMHYDzi5Vc+MUU9OoLZgcdV1GSUitZHBpvY4fxKiqjCqL30seGGKqskylqOOHgiT2OFd8Zdob+KxYahVZXyhzb3+EriunnC+/jOiPhVhG9FFmSX0zzPB54YO7PYBcEDnDJ8P3X17i9asH/OWbO/yffvfSpzIYm2GGzwuaet/8qWRpuThCU2XOrlSwdI04Tmk3bFRF5rDnkmUZrarFSxfn+Nl7ByiyxGtX2lzb7BNECb2hj22p/PLaERuLFRpV6yOJZNuHDrqmsNgoMpr00BQJQ5M57rt0poQ0kRBi53XG+3d7KLLE6nyJd252qJctdE0mDFNMXeHscoWlVpHRJGS1XeSo79EZeMLpPEyEy7eqcDCY4LgRYZIiZRlxKoS0e8cTKkWDsq3THfl4QcTFtTqqIuP6US7g2OtMuLM3ZLVbwtAURpMgdz6+uFrl5s6QTt/DC2PiOOGDuz0urFYfEcF1hx7v3e6iKiIZdr/jYlsqZxYrj6RwABRMNa+FgMfyOGb4fJA+MPOpl038KBFmCbJEHKekWUajanB3b0CYJLQbFuWCRn+c0aiYaKqCrIi5c2/okyHmenvHY5AyDF0hTuDu/pDNgxG//+0zqLLEz97dxYtSLEPJHegNTaFZtXC8BIixDI2jvkejYtF84B7oj326Iy8nip+8B8eN+OBeL6/h944dVtolhk6IIgmi842tPoNRwO6xgx/EuH5InMLYjcTcc64EWYbjRTQqFpc36vhRzO6RQ5JlzNUKrC9UWJ4r8udv7BCECUtzRVbbHz6DWF884TFkrEyfzxlm+KqiVbPoDMQzqqoyBUvLZ5Vwet15HCpF44nGKK9cbvNXv9wljBPWF8t5CgcInt6F1RqHvQm6qnB2pcq/+9MbDBxh2PzMmTpv3zwWZtKmyvW7PZJEXMv2kTM1dBb7Tr1i5lwaMugOPA57wgCrXjZ55dIcxwM/XwNkSXAYAQ66E/rjgP7YF5wmL6JWMrFN8f6zTDjAgzCcnPixmN9moqd57V4v793uHjmMnBDHD9EUmYkfo6oKqhKjqhJ+EJ96T1fW6/keLElwaa0muCOyzLmV6od+7o2KlScFaKpMyT7dZ5hv3DfZO5kpncyA62WDn7y7h+NF1Esm9YpFf+QDcNz3WJ72JgHWFyq/Ml7kfKPA0AlwfZHS/ElEQDN8udEd+owmAYos4f6a+TGfB0olg2pJZzAJkYBayUDXn/5e3vHA/6Iv4RPDMlTCMCUlI00z5mq/uXXGbPrzJcB+x8mLl4kX4foRz5xtMHQCTF2lZGu8ce0o/517+0NevDCHbWoc9iZCkR4k7E6j/shAVSWKBX06zIwZTkJO9t3DjsOt7QFJmpKkGXGUUqlZFG2dTt+lO/QpF4SL9GtX2iRpRqVoMN8osNQqomsKF9ca/PDVVf7izR3SFC6sVimYKmmaoaoyr1xuszZfov3AYn1CYMqmxPZ4Ska/vFbHC2JKBf1DCWAn5NLRJCQDDF2hO/T4+dUjGtNhZtHSOLtUoWjr2IZGGCfUSuaHklXevH7E1Xs9OgMPy1B58XyLiSeIVzMC9AyfBYoiszxXZOfIAQlW2qVP3CQ/cVsZOgFJmqHrCvWyycZCmcsbDd65ecTu8YSRGzJ0RPRou2Hj+jHnVyrUymKDa9dtOkMh9IriFImU3WOH7tAXYomNOrWyyQfTZ6E/8ikVdBoVi1bN4u2bR/zxf7lOlsHP3j8kDOKcuC0al2VW58vEcUqUJPyXn24iIeG4EV4Ys33okKSi8BlNxLW6QYwfxFiGSrVUoHXG4qjnoSgSrarFYqvAN59dIJq699crJqoiUbQ0/j9/7ufk5Y9TU9RK5udKosyyjNV2idV26XMpak6R56cF4adBECW8f7ebF7ir86VfO6n8q4I4Sdk6GBNGCa2a9ZFN6SgT6TiampJJKistmzNLVT64N8A2FUoFg2fPNLiwUqVZs5Ek4bBwQmxOM7G/SZLEYrPAzqEDUkCWZRz1XTb3hvhhwtmlCllGnsblBaLo3Vh8cizwRyFJUrYOxyLpxtYZuSGKIvHC+RbKNMHKDWJ0VUbXFG5t9/k3/+Hq9D47xPEjfue1tfz1bmz2c2eg/ijg8kYd29Q4t1wF4O0bxwRRQtHSaFbFcxlGCWGcnBJlPuwyWy0ZvHJpjizjkefOMlT640A4ER049G1/+hoKK+2ScOSZik+vbfZxJiGeLwYxrh8hSxLy1I3jwUjwU5AkFhuFqVOxThAlNCoW9bL52Gt67GedZnl0aKNifqbUHUkSTiFbh2OYRqvPHAm/vEjSjOubPRxXEBZfuzLPUX/Ca1fa/L//5BqHPZc4EYl1hq4SJQlxcnovkABFEkRKJAlZkpBUhfm6jW2pnF+usdIu5/f0CdFv4kXsHI2RJIkrGw2K9pObEKoic+VMg/7Yx9CUxzZmH342kg+J5kymCWAn2DuesNgsfqWF0n4Qc/Xu/eHU+kJ5lrA1w0ciTlLu7o+I4xRVkVhs2aiSTLmo051GneeY7jlZmhGnErIsRB6aLFMvmZxZrGDbGt2BR6VkstoucmG1jmV8ugbkfkf0HAqWyvLc/bPvictenIhUnicNcmaYYYbTCMKE1fkyi40iqiYThAlpmiFJEkmS8jdv7tIb+czXi0RRghvEKLJM9oBQV1dlfveb69zdG2IZKu/f6XFnd0iSpJiGwsiNqBR0JFnC0lUWW0XiJCWIYjb3RiRZhqoIQcK3nl987Fm2ZOv5Xmbq6hP7av/5x3f4jz+6S5pmvH+3x2uX59hYqiJJEgPHZ+KJAWuaQcESr6MoEs+da3Bja0CSZliGKvqZU/THPoNxOHXAS1mfb1Mpmpi6QpJmucJVkiTOLVcxDTUnatWmfbwT1+4sE5/tk84euqacErCahpLXIQVLJBjtdyYgwcWVGi+cb5GkGYoscXdvyHHfQ5Jg5SFjB11XH1ujybLMD15ZIYxT9I9I1ZhvFKgWDZKp6c8MTy92Dsf8L39zB2cSMvYiGmWdLEs5v1zh7t4QVZVIs4z5usXZlSr1soWqyFxaqxOECaau8Ob1I4q2RhCIdaFS0tk8GOMFMRkZvZHPxmKVlbki7XqB/shH1xRMXREu0YroDS62iozdEMcLgRRZVvnD750lywShq2TrwvHaUtnvuMiydNoVckqk+nXdk995cYlvPLuQi76+rDjqudzbFwZce8cTnj3TmAmvZpjhc8LVe0LEcXm9/gVfydOJ167MYxkKB12X9+90efZs86P/0gwz/BrwjecWcbyIIExYmCtwfql2ar+/sdVnMBYzkOO+hypLvHhe3L+WqfGt5xd58/oR3aEvCOjvHXBzZ8BCvUCtYtIom6xM53dpmp2qB+JUpHNnEmwslmlWbRYaBe7uDQGoFAx6Qw/XC9lYbLI8V+LMUhVJut/fD+OYdr2ArgqH7W8+v8iF1Rrv3jpG11S8IGbn2EGRJY4HAb/9tWXOLlXzGitLU44HPmVbx/cDdE3GNlWKlk6poPPS+TnKUzMsVZGRJPCChM7QwwtiukOfRsWkWbFwg5i1eTGvPL9a5+7+iOOeEPKP3ZDDnnsquf3EcOegOyHNMtbny5xbrnBlo0HpCULckzlRf+yjq8qHpnbM8Nmw2Cjw43f3ieKE9cUKa/Ml/uRnm0RxymHf5exKFVMTbvhDJ6Bg6iw0iyzNSdSKwthRRuZwMEHXFFbbJSSEMdlex+H6Vp+RMyHNwNQVfvT2HiVb5707HQxNwTZVXrzQYn2xjCLJOF7EYCw4CpomszIVRxz1XZbnSnSHHpv7Y5Ikw/NjdF2mXS/QqllYhprf80mSMXJC1l8ss33kEEUpQRhjaAqDcYA2NYmN0wxVlgmjmDRVaVRMFEXOE2dqZZPXnlnAPRtRtDQsQ825F//t37rwsWptEAKZWskgy8APY25s9cmy7Nda68www68Lpq7y3LkmfhBjGiqLzQJ/8csd4jilVbNY+QzGa/ONAv/dDy+IucZjnr1yQT9l8vCP/+AKnZFPtWhw0JnknBbPj/GjmBOjQlmS+P4rywxGAbIMc1WLa5uD/HWCMOHavT5JmnHU83jp4typNeDNG0dEU6PaOEl5706Ho57ocTyz0eDCA+kirZqJdagSBAmWqZJlKXudCVkm0kSG45CRJHgPkiSxeTBi4gtjznpZpz/yCOMUP0wYTAL2OhPCMKFo6yJVaGpaI8wzTS6u1pEkPpQbCaKHY+qiZ1ktGh8qNpNliQurtbxn+eb1Izb3hTFMd+jTHPvUp7yxOEkpmBqvXGojSeI9ZZkQr2iq/Fgx56eFpso8e7aZX9cMAnsdh+E4pGCpn4pD+EUjTlIyxPlaliWiOPnov/Qlg6WrfO2Zed68dogEvHplHvUrIOh8MJHoaYGhSlimQhyL3nQYfzqu5JcBD9ednxRP37f3FUQG7B47hFFCuaBzYbWGoSn5Zi5ED6edlmUJltulnGTqhwlRlJCkmYgB0xRBqJIkmlWLt64fkSJIRMOxlzv6ykiEcUK9ZFIpmfRHPrahUS7qBEGCHyX0Rz7dgYcfxjxzpoHjRRx0JwRRwpX1BsNJgKKIzfz27pBK0WB9sXxKwPEgJEli6ATc3O6TZWIoemm9/qGbtuOGmLpCd+Rx1HNJkwxFkgnCiCwTZMpyUefS2v1G7sdtIFzf6tMf+TiucAB3ysplwwABAABJREFUvIiSrT/2ekaTkM2D+4kon4er2AxfbSy2irSmz7IiS+wciQHrCfH3o2DqKmeXKgzGPpsHI6JI3IetmoXjhuiaIAYMxgHHA5fFVoG9jkjZ+Zu39phv2qiKIGFeWa/xweaA9+906A19+k5A0RJkCZEekHHQdQmjBE1TsEyVF863yDJ4/3aXKEqJkwRFkbm62ctFHA8iTlOu3u1RLujc2x8xmoQsNYu0ahbbR2Pm60IMJlIKhPjjoDMhiGLCSCj0GxXhGlK09dy57mFS2KtX2rx54whZkvitV1Y+h2/qofeRpCIdIxBE6wddw/sjn9tTd47luWIeF3sCkYySoCnyxyZUL7VKucN/rfzpHfscN8yLXRDJJzMRx6fD5v6I7lAIAUZuiDVNt3kSakWDZBpLmWbC7cD1E6olHU0RbjVfu9zOXR/gvnOF44X86O09/DChUTapl0yeP9fEDyJGk4i5mk2laEImosUb1dNrx0c5ZHwUtg7HuTvnfLPAC40WrYqJbYk9TpaFeOoE79/pnrrPrm8OchFHkqQc9ib567VqFhfWavmeujF13vX8mCCKubM34r3bHW7vjkizjIKhUimb2LpCtaRza3vAXN3O91tJkni4jh06wqXnpCE8nAR4kUgqA4mVuSKVkknR0ri1PSCO0zzOrlExGU0Uxm40FZCIhq2u6Sw0Tz87qiJRPEkukcjf0+Ou6UnY3B/x9s1jwiihVND5zgtLn+ksMd8o5AKjh0UvM3x5MHQC3r3VYb87oV4y2Toc8+6tY169Mk+loNMfC8cWAEmV0DWR4jOaRPlryICqySBL6JqC60doqkK7brGxWMEyFMI44afv7pNlGbapsdIuMd+wub7Vz12kXT/iwmpt6iCtP/a+0VQ5r0Meh6VWkdu7Ys+qlowPHWpIcCouWZY//vPytGLkhqfEmAMnmIk4ZvhI9EY+jbLJvf0RAyegVbVoVkw8PyHJBHX75K46ub1kWULOoGxreGFKOn0ml9tFVEVm7IQEUUKtZGGbaj7s/KTXtX0omv1jN0RV5Hzwf3tnmIs2HS/ihfPNp8a1bugEbB2OkRBJXw8mk80ww68a/ZHPja0+IyegXDSm4i2xH1/f7PHB3R5xmnFvf0y9rLOxIIQAg3GQ9xPqZVM4UK4LR+ru0OPe3pB4KoiWJSHiVFUZTVUo6QpZBo4nhBUn+stB3X7iWXa+YfHXb24Tp/BbX1vmoOsymBpHbCzed2h7704/d9tM0oz+OOSbjQKSJFEtGfzk3X2CMKFk67x8sZ2fseMkpWjrTLyIdt0mSlLeuXWMpojhZLthk6UQJcJdt1mzSRIx8JMU4di50Cg88RxybqnKGx8csteZTPuFtcf+niRJ/NbXlnn7xjEALz6QjCHLEt9/eVmkochyXlvntc2icNtVZOkTi6k/DqkEmJHAvwIYOgH/y1/f4tb2KK/dozjG8xM6Qx9JVijqCrIk0x0FKPtj/DBlqSVRLuhkNuwcjVFVmZETMpwEIlXT0rgXxEKoNL0no1D0tQ97Lq9canHQ83jlUpu7e0NKBZ3feXUVQ1d468Yxc3WbZsVCkgQxuj/28wTs3cMxG4tVzixWqEyTuQ96bt4j+3WTmr7sAg4QZ/4TpFMDm9nzO8MMnx3doZgHyhJcfMJePsOHwzRUvvfSMv/lp5v8559szkQcM3xp0K7b/Le/cxE/jCk/piZ/cG8dTUJcP6I/DpAlkeT33ZeWUWRBJO8MfSae6O+Tid5cHKdkWcY7tzsc9lzm6wV+71vrqIqMpsjsHk+YeBFJktKu2Ri6wvpCWdQ9Yx8/irm9N6ZeEaT4d252UBWJVy63+eFra1zb7DFXLaAoEmGUctx3efd2B1mWUFWZ/ljMllRZiPUHI5/6ZZMkTRlNQgZOQJYJl+1ayaBZNbm+KVLIz61UcwEHCOH52eUq1+71mHgxqiJmgYosYRkqkRNQKxqEjRRLkVEf4jc8OD9KkpSjvkg4aVRMDnou/tS1/MOMf+Cje8afBY4b5kmOq+3Sb7RRSHfk06yapKn4viZezMZihTjJUBVJGEFMuTFpBrIicW6liirLuH6Mbahc3+rx/t0utZLJ2kJZ3GtVk93jMRM3YuJHKLLMXNXCD2OCMIIswwtiJEkYuvz3f+cyt3cGvH71QJiwRSlnp0ZtcZISTY0QTsRWczWbeslkZb6EKku8cf0QXZVp1Cx2D0ZsHznUKxZ/+csdzq/WGAYRnaGHrqmszBWxDZU4yfjgXnc6Kzf5+jPzrLRLFO3TJPCipZ2aWT6Ij1trw/3Z3o2tPuGU7D3x+7x0ofXUEWpnmOGjoCpyPuOebxT4Bz84TxjG9+fenxJBlHB3d0gYJ8zXCx85CzMNleXpfEFRTj9nL19q896tLmGScGWjwVzVZq56//VW50sc9z0MXcENIsoFnWRKmD2ZYfhBzLu3+rheRJyKNK9KQeO4J0SQkix4ERuLldx8JUkzskxi4kVUijqX1mv87N19gmiadHqny3u3OgCsLZSQJSnvuwahSC86Menrj3ysqZu/F8S4/v05r6bK7HbGvHuriyxJfPuFRfpjn87Aw3zAhMf1ImxLe6LR3gm6Q4/dYwdVkadz4vsmN14Qk2bC1V6RRfLHCVRFCEdPertpmole9SQECc4uVT73xK1fhYAjTtI8UbndsJ+aGU9n4PLLa0dMvAhTF9/D8mcQUn0RUGQJ21BBeE4+lf2vNMtQJIl2fcoHmoqZnvr9P32y8eaXFaauEMcpcQpyklItPR3P8oNI04wb231GTohpKFxcq38qQdzT9yR9BSEhvtCTTfThNUGSJNbmy9w7GEEm3PyDKOHaZp/NvRFX73anG63GixfneOninHDglSVMXWU0CakWDfwgot0ocm9/gKbuk8SQShnNqkW9YpFmGcWCDhk0p3/2A9EUkSSJ0b0+5eIuZVsnihP2ey6GpmAZGkGYcDxwkSQxYPKDhKETPPFQsT9VroIYLI+cIHfLexh7HYedQ4fjgYfjRqzMC0dty9SQZIlGxRSk6SDGm7r6fxI4boTrx8iyjB/EGLryWCfRLMu4ud3Pias3t/u8fHHu6V/EZ/iV44QgeeJuAsKd/spG/WMVRo2KxbNnmjhuxNgNKdk6uqaeGppWSwaLrQLv3u5we2eAoSvsHI2RbwlX/wsrNd64dkAQpsLV0gkAcQgJowSkjKWWIHxpqkIQpWSpUIAXLY1qxcQLhYNmlCRUnkA6HjlCRFC0dL713CL7XYeFhijECtN4ZFWWma8XmLgRe1NHy6VWkWfPtVBlKXcB/bCo0x+8ssJrV9ooipzHF36e2D4c542nveMJBUvLkzzu7o9ycubOoUOzYqFPN+A0zbg+TSFQFImLa/UnNpIeRKtmUS7qJEn6qQUcwNRxhHx9tc3ZNv9p4YcPKMYz4ejwYd9NGIufK4pMEMWUCiaVkoGiypxZqqDKMt2hf8rx6ATteoFvPrdImqbIikypoHO5aKBrCkPHZ+hEefGjazKNikV34DN2QzRVPu2K+Slw4jqbZcIxfzQJOC6ZnF+pPnYfX18s86N39qZNjYwojvnJO3tcOdOgXNDpDL38NTtD71RajqLInFuu4voR790W7rhvXj/mqO9RsjVuT0K+8dwCwyhhfK/PfKPAwAl47lzzsQfdzf0Rhz2X/c6Ee/sjqkWdNMswNOEgWrI15huFU1Gl4nNUaNUsTF0VYlRZmroEZ1xarzNXsx4hop5ZqnJ3d0icpMw3CgRRgiTxiQirWwcjJp5o2PSGPkc99zMLQmfijS83kjTj5vZgOgxJ+MW1QwBsQ+WNa4dUiwaKIpMhhEJRnKIpGqmcYBoKYZSgyBKaomBZKrWigSzLDJwAQ1Mp2xpZBpsHDv1RgB/GlGyN9YUyu8cipe9EwAHivnv3dgcJIRZ55kzjE5OuGxWLkq0TJ+kpp6vHQZaFQ/bm1JV2fbH8lT87F0yNBxn3s714ho8DZSpwsgwVWRYR39c2exi6QqNk0hkFp9J5oiQjTlIURSVJMjRFRtXkfE8o2hqvXmkDYu+7sFojilPcQIgcP64TiD89/9//c/LYn6WpcMt/GkQc6XRdPjnP39we8PIDpO0ZZvhVY+94ksfVjyYhYRRTKZrIwN39YT5kk2QJP7y/h0sSbO2PiZKU7sBHP6vkwylZlgljYcRiGioH3QknznXnV6u8cL5FnKR0BsIp3vNjVFV+ossqwH/4m3uMvRgy+LOf7VC2DQqm6P+ZhprXICvtAte3elPDGYkzS5WcHHhyVhg6Aa2azXzj/uBVVWQuTo1YvCDm3dsdyMAnQddUbEOkfJZ1jfIDNUnB1ri0Vv/IocrACbi4Vuf8ahVZkhlOQupPGEC2qvapZMEHoSoyK+3yE/8d/XN0p5vhqwc/jHnjg0M6Ax/Xj0gRRCxJ0jF0dWoikOB4ESMnRJJFfy9NwLY0wmky7VHPZTAOGHthnmbTHwmy3iQQ9aUiy6wvVSkXDFo1i/8/e38WJFmanueBz9mPH9/dIzz2LffMqqytG7030I0mgSYIghRIcQZmLWo4hFFmGtJ0Kw7MJEi6EDW6kJkMM0bSaJQJoxkTTCBIYgCiGyQaxNLd1d3o6qquqqyqrFwiMmP38N397Mtc/B4nwyMiMyOzsiozqvwxA7oiw/fwc87/f9/3vm/XDnjlYo2XL0ySJAnygYb9TtNmbatLb+BTyOp0+l5qxHDjbpucpaXJ1ucWLBTlg9cdPu5kM1paR0QSf78xY8Z8cN4c1g6XZ4sfqGb+SefnP7fEt15d4zs/2eTvD66OzenGPDPoqoyuHv99zJpaWkc3NJn1XYdg6MraGKaUa6pCEMbp/8VJTJwk+EFEEMb84No2tzdFTbLZcakWDb7wwhxBGLMyW2AhyjJwQwpZnXMLJeIEChsd3r7VQJEVegOPP399UySrD1/Xn762wV//mbNcWBAmOY4bsrrVoG8HvHVzjwuLZc7MFun1HF4LG+m+pVaxOLdQ4txCiSCMeGe1KWYTJOFePFXJcm6hTBwnx57vKgWT589OcHO9w2a9T8/2yVkafTugmDfwgoj13R7nF8pMVy1aPRfXi8gYajqc1rN9rt9psVHvE4Yxc5M5shmNy8sVSvmHmw5+mLx/t52aA7x/t83LF2ufWMduz49QZBlFFr1eVZGQZIkkirix3qOUM8hZwlwhAQxd4dxcKe2B/eDaNtsNm4yustO0KeUN5mo52j1vmJCpoakykiQRJgnTeYNSTmO9PiABgiDGMlTqLYcfvbvLbstGkWWKWYMwimh0nNTUxTRE39/zQwxdRVVlZEni//j2dRxP1BAXpnKYhsrMRJasqfHuWouBEzDwQoIgxtQjNFXmSy/NEccJS9P5dP8yXbWO7ak+SeI4SQUcAGEYE8VCMDNmzMeZB12DH4Xbm53UEGJ1q0vO0h64bl/d6rC+26daNDk3X8YLImw3pFoQorMrK1UxLyEf7X1PV7OpwcpGvce12y2UYVluPyVobbtLFCUYuooBnJkr0uq5yMNjWkI6Ih5RZFHPPMjPfW6ZMIoxNIX/35/fYr/Oeme7hyxJw5lEiTBKKOXNNGlibjJHxlDxAmFoYx1IR+87AaubXXRVAQl+cmNP1GYTAI+B49N3wtTJ/cpK5b6fpR9EqdkeRNxcb4+ItacqFn9xbZu+G1LOGbz4uQniRNxvsmyN9HF6tp/+DUlgc2/wxEUcHwa3Nzu0hmvCdt/jhXMTp6JOKwTD4nUHoc/6Tu/UiTgypsZ8LUe776OrYvbvtBGEMe2eRxgLE71WxyOK4lOfxlE8hWl5zb4v0tdjiMKEds9/2i/pkdlrO7S6Lt5wH7pZ7x+b0v4wxhMlzwAJ9xYVIJqch6lVLCFWQDQQb64LJ2nXD2n3fDRNotF1+XffX2O7YfPFl2Yxh7e7ud7BNBQypk534HNuvsIXX5zl5t02sizxmctTSIrMTmNAtWAShDGGrrBQy7PXcdKmqO2GvHVjj7nJHNPVLEVLp+8E5CyNMEyIE+g7Pnd2etTKGRwvj64p7A1TPAZOgKLIrMwUSEhY3+3hBzHFnMHlldFFmOuFKIqEpirUm6KJJIouEfmMxcpckVLOQBo6+9ZbDoWszps39liczj+S8/y5ReFeEUUJV89UeeVi7chiyPVDdps2e22HYs5AliSiSLzn8R5uzElxvNEhqEbXpdXzMHWRhnEY2w24vdkljGIkiZHFWxyLY+fsfJFGR7jlrQ3FBZqq0Gi7eH5EGMcokozvx9ze6pDRVTRVppg3sJ2QzsDH80OmyhZ3d3rUyiY9OyCbEUMZZ+aKlAsmV89MsL7dZbthUy1l+PTl6WPf42GV7aXlqkgFAi4vlxm4Id2+T6NrM3BDSnkTzw/RVAVFkliYylMtZpBlaaRAlyQJq1tdOn2PXEZnZa5INvPhNRuCML7/z8eEHuz/rZodB9ePKOYMoihhs97nwuLJXMIMTYEPuLGwTI0Li2UaHRdTV8YpHB+AyVLmXpNAVx444ATi2ixL+65GEhldFptwgvQ6er+8jPlaDkWRcL2ISsFMr0HPnRHOutfvtLi53iZn6czVhJDx8kqFIBTF3A8Sybb/Xrt9H8cLqbcdbC+kNXT6nZvMcW6+NCK0vLJSpVIwWd3qEMfi87m50WFrb8Bf/dIZZqo5mkOnqUreJEk4IlA9iBtEJCTDRkuC60Ujbv22G3Brvc1k2WKiNHqu3G2JWHBVlckYCtmMSB9QZJlS3mBxOj/iijtVzfLeWpOeHTBXy/HFF2a5dqvBnZ0eQRiTz+pkDHWkeDFwAppdF8sUcbN+EHHtdoO7OyLR49LyycRawIiblaKIaMAxH2+EC6uXNje6Aw8/jNGG6VxztTwvna8ycAOaHZdCRrhK7cf4ypJEEIljJI4TvDDG1CRKOZOJkonrRfRtH9+PkOVhhGkCfhCTy8ioijgW7g0USUjDYqMfxLR63mM5qOmacuJiWClvUMpPPvJznFayGY0LCyKK2TQUZsbX4jEnYG4yl7pFZXSNQjZit+WQkJDPGQy8EMcN2V+ShlFCFEuszOaJY3C8gNlJiyCEW5tdPD/i+TMV4ajohfTsgGopAwlp+udJ1g+VvMnWMNZckqBavLcemChlUoF6NqN9KMLqD4N984x9xHnzY+CwM+bUICsiocL3I1RVYnWzhx+2AVAkCXdY6DV1mZ95ZQ5NUVBVmTiO+fM3NnC9kErRZHE6n4o4thsDJofOdI4fIkkiuUsbmh7sX7crRYszs0W6AyEGf5Bxwm7LZuAGQtAeRPRsb5h0N7o//us/fY7uwGdrz2ZhKsuVM1V+5z/cQJElPnNliisr1WMfPwhjbm20cbxQ1BEObJamKhbPn63i+RETpQytrstuy0bXFBan8gRhTBTFD3T5ShOIpbHgeczTw3FD7uz0UBSZKIkJwwTLVJgomsTDffLACZAl0HSRiOt4ERt7PXRd4spyBdsVDtHdgQ9Dp90E8KKIly7XaLQd/CBicSqPoijkLA1ZkugPfH7/z2/h+REXlytpfQHEYFKj4+L5IYqST00YgFSoBeIa6YfC0XnMg5mdyCJLEo4XUi4YJ64RjBkz5sH85H2RlPXi+U9OTeHD4PxCmbPzRW6ud/j2X9zhb/zMuaf9ksaMSfGCiFvrHfwgolax0uS+C4slNusD4mFiRLfv8c6dFoossTQt9jFCcJ2nkNVpdF2kOGGnaTNZzLC23SU+5ES7Xx81DRVVEXVT09A4O19KezJXz03wh99fTY00HDfEc0OCYZ92X81hGioXlyq89u42Oy0bYrC9EFWRRUpCzqRSMHC8iJmKxc99dhkQhj+bewNURUJVJBwvwvVDbm92KeR0Lj6gn5gkCYahMFfLMeGbKIpMtWimvZt9czdNVbh6doIwEqmPjhfxxz+6w831DrmMxrnFMq2ui6GLhI+n7VydJAnBgdmYOL7nHP5JZKKUuVcjNFSmqlkyhsq//c7tNAF6qzEgn9Fp9T0Wajlub3U5M0zMdIezCJYpBqmXpgvMVK3hEDLkLR1/mA7T7ftkFzUMQ2ehlqPT9ykVDL7wwgx3d3ooCuSGvfhyweTMbJE4EaIiSZL4/ltbaKrExp5IIH/xwiQDL6BvhygyIEk0Oi7nF0rsHzxBGBHGIjVHVSQypkrGEG7zmiKnSTVZU2Nm4sMXkstDw9hGR/Q0S3kjTUsdM2bMw/H9kDs7XVw/YnYie2TG5gdvb/Pj93bJGAovX6zxxvsi0WJ1s0uScGzd8DgBx2G++qlFgiDm1kaHpdk8P/vpRfGLQ8MYSQIFy2CqbCFJIEuw9ACzln32a6muK4w29x82SRKkJKEzEIlGK3MlLiwKE8haxeJTF6e4uSnEFaoqE8URv/fnt/D9iOXZgkhZl8QZ0fcjtup9tps2GUNlpmpRzIlrehwnIqHDCPD8iGrRHJlhDKN45L0e/ty9IMIwVJAkDEPB9SMWp49/34fNIrVTcg603VGTMdePToWII5sRJmtxnJxaExBNkVGGJulhKD80ze1ZRNcUurZPo+MgDX9+1KTtZwFTk3EPiFEL1tMVZj8OrhsKwXKSIMsJ7eGc2WkiCKPUgE2SJEq5x9tfnY4u+8ec6UqW3sAnScRm7H7pFQdPGPsDF1GSYBoKkiSiJv1QKOB/8NY2MxNZBk5A3/FpdCJWhpu3iVKGr76ywMsXauw2bYo5nbs7fc7OCcdt2wt4bmWCStFks97j/btCER+EEcvTeRxfRG0+f26Cvu0zWbaYr+V48+Ye76216PR9dhoDLiyW2Kj302HHOIFqwWTgiGgzUUxIOLi6SJKEG+ttWl0PSYKz8yV0TcELInIZDdsNUBWZrKXx3Jkqpq4Kx75hfBkIZeijDC4vTxfIDhWwGVPF1FWCUCh+LVM4CLxzu5k6eey2ROzqVMX6xBYQxjwe5byZFgnjRAz470fX+WF0xNXu5kYHxxUunD3bx9RUDF1BVWQmhwOX1WKGds/D8yNaPeHAbegKnh8TxsINVwipAjK6yl7HGRZFNM7OFskMF/t+JG57ZrZEEMWoqsxzK9V0YLqcN3j54hTD+XRK91FwFrI6Z+aK6fDp3GRuZEAsnzX4yY06m3WbTt/DC4SAJJvRyGY0JkuZYxdH9ZaTugI2AzEU+WEqkqcqFt2BKIYZukLlwAD70kyeWxsdkgTmajl0TeH6nRa2GxKEMTstG8sUTiYfdLj+cSjmjE901PCTolaxsEzhlFDMPbxoZ+gKxbyJaYgoY91QKRcMshkNRZKwTJWp+0SISpLE7H2KkbYb0O57qePB1t491e6juF13B74ousoSi9P5kY1+tZjB0FU26z3WtnvEccKt9TaOH9G3A25udPilL69gmWKx+dp7O0iSxMpsibXtLhv1AZeWDGwvxPVD5mu5dMM/VbWOPQ4sU2OqarHTsJmfzNLpedieSBGbrlrYXoiESArabthoqkzPDvDDaOSz0jUFzxdrhHxWZ24qz/TQ0Sdv6czXRj/XestmomQxURI/t3se1VKGwXCjr6oy+QMbTccLeWe1mQ57BuG9AXkQRYHdpk3ukEPHPn4Q4Xgh2YyGqsicXyjj+pEQ7BSNexGNYz62yLI0vD6IiPNsRiPs++y2XaIoQtNkml2Z5Zkijh8RJeD4EaomjiGRoqGgazKWoTJVtvCjhFopg6oK1/2MoRLF4IURSzN5/CCmXDA4u1AC4PxCSaw/JOj0PHaH11PgsaIcxzwcIVwZX4vHnBxdU/j81RmKWYPNxoDbWx1ylkar46KqMpWCyV7sELr3hiwVWSKX1bh6dhLL1Niq97m50UaKxL76jRt7mLpKxlC5drvJpeWKEG4OfAZuMNKk36j3aXVdshmNxelCus81DZXnz4p9f8ZQR9YP+4MSYRRTyptPZd37OIi9VCbdW0xXrLGAY8xHyspMgR9f3yWIYuJErPeF4YOELMPcpIXrxRRyOjPVLJeWRTPz//utd9lriwK27Q7Y2uunjpSlnEFj+DtDVahVLIpZcR06mAiVy2hcPTdBoyMGdh60p9Y0mcgWgxWaBpXhHlNRJGoHTChyls7f/cXnGbgBuiLze9+9nSbY/vkbm/zHX7tw7OPf3enR6QtXJdf3kPePQwlmJ7MjItNCVmdpRjQam12Xt281SBJxvT2/UDr2GJ4oZWh2RHqhoSsfunvnkyKKYvqOaBCP12mnnzhJCEORgmM7QrBULVoszRZIEpFUPVfL4QcxXdtDVeQ0oXW6kuXWRoeZiawQcEiSOC4jkeY9P5nD1FSurEzwwrkqeUtndbtLEIia3tp2l4EtjCl+/N4usxPZdMCvO/DRFBkngTs7Pa4sV1AVeXhNN1KHdst8tO9hf+jIe5LU4Y8bkiSlQ6djxox5MiRJwhupiGPiIbce8zC+/rll/p+//Qb/9jur/LUvnx33NsecmIETCFHCh3R9X93spK7+d3d6FLL6MClASfcAcRxze6tHf7i22RwaSuQsnbnJHKWcAUhoqozjBliWhirL2J6PHwiXf0NXuHpOnEsWpvLD9AAxFJk9NDz3/NmJdM9xYaFEs+fRHTrCVg/shQpZnYmiRdbQCMIYxw/p2z437naQZShYOs+dKbA4lRd1mKzO3Z0eu01hTIUknNANTey1un2fgRveVwyqqTILtRwDR8xKTJQy6JpCu+ehqfJIL0SSpLR/9Np7O+w2HfwgZnMwoJg3mK5kWZktPnUBBwzXUdVsahQyWc58otPHZyay5CwNP4hEircsUS6YyIqU/r3aPY/KUDjc7vvstRwsQ2V2MsfFpQob9T5RlJAxFBYms/zRj9YJQ5E4YRkqTleYo2ZMlTvbPRan8pQLJhcWRVqmHyZoqkQ5Z5K3HIIwolYxubJS5b07LZJEDKvd3uxi6KJ357gRkxUL1w2x/YA4SihkdaarWX7qyjR/+uMNPD/k0nKVUs5gbbtLu+eTIPqF79xucPXsxImNEZ8kZ+aKVIomJPeffxgzZszxbDcdbq13SIB21+Mzw3RwEDMN/+G1uyQJtPuw8721kX1zvWXDfcxfTsLPfW75yL8tTufTFO6piphBcv2QL7w4S6PtoCoy81MPrhH6QcTqVpcgjJmuWpyfL4nUC8Q52nYCspaPLIka6RdfmOOLL8yl9xcGHSF5S+cPvrdKb5hy8fbtBuW8wc31DpIEl1fK3FjvEEYiEUBX5VTEAdDqeXgNsWbYadpcPTeR1mjEXKme1lYP1yPaPSGG2zfkSZM2jsEyNRan82w3BuiawvLMw0UuzwKVgpmuHQxNIWuejvHnuckc5xZKdPselqlxdq70tF/SI9OzRXLC/lzubtN+LMPIp4nnh2QMNU2jM4Y1V1U9XftkWRpVrk2WT5+IQ9dVomHiYhAlpyIJ6DCSJCEr4DkhpqE9dr/8dJzFPoYcdHos5Q1eOD+JH0RYpnai4lmtlOHf/+AOG7s9JFmiVspgu5FYAPU8Snkjdf2vlS0294RbxWw1SzGnU8obwt0fEdulqUo6oFqwjDQVYGGqwDe+fpl3Vxu4vnD+j4bOFRcWyyMHz7XbTSbLFmEYo2sK2w0bVVGG7l6eGBzXxWbw6tmJkfQR3w/B0hm4YRp5lSSwvtvj4lKFtWH02oXFMqahUszqqdOnqgi37tRh4hHVccszBQpZnSgSbh6uLwY2oyhBVWQWp3OpcrVWtkjihOfOVI8UdcaMeRiT5Qy6JuP6EVEUs77bT3/X6XtHRBxhKFxhN+t9bDdkrpZjtphlcbowUsBy/QhVkdBUCVCpFEwUWQw/Zww1ddlUFVmorXWJF89PosoKYZzQ6roosohOvbRSES70ipw67yVJQs7See5MdZjSoY0UER3H5w++v0bf9rl6dpKXL9aOuOUfZGtvQKfv0Xd8QGKiaHFhoTTiCniYww65+y44HxbFnMEL5ybwggjLUEeEJdVihnJeJCPtn6/3E5Rylk7RDYEEy1RHznNjTh85S+ekoz7VUgYZaPVdKgWTzz83xYWlCRRZSh2PHgfHCyERx2EUJ9xcb+MHkUjEOqFYJ4pirt9ppUKE9++2jzjY5TIaU5UskyUhDHP8KB342r+O74s4DhpYmbqSPm7e0smaGsWckZ4DHnStXJouMD+ZI5fVqBQyOJ5I55mZzInBsAS2m/YwmUd8ft2Bz+yBvu35hRJ3dnrkLZ1LyyJuvJA17vu8h9POgihmuprF1IVgp5Q3jkSIHnTr7hwQ1Oxzv4ZC3wl4dygA0VSZK2eqFHMGn7kyfey5ZczHkzhOqJUtCpaOJInvULvn4XqiIWfqKq2eR87U0RUZP4wIwwhdlbmwWGR9d0AYx7hejGWqlAumECxN5HC8gIvLFSaKYig7DGM0TaFSGP0eS5KUDmwVLJ0E4VBSLZpj0d+YMc8Qmqpwdl7Ee5uagiRJ5IciifMLJVa3O9zZ6hFFMZIsk8tqRGGCoSlMVzO8e7tBzw6QJJip5lAVyBhamo7p77tsS4ysS5pdl43hvsR2w9TJch9DUzDuUzQ7reeQldkik2ULiQevVcaM+TBIgEuLZToDH02Gte3+PYe5JGFxWoiDZUkaWSsqskQhqxHFou4VHlijvnyhBkDfDlieKVAumOw0bQzt3uDTPtVi5kSF8PMLRQZ2QBQnXJgrceXsJKoi0u8Oi8lNQ8U0VGzXTwUcwL3zzjEcXJfLksTSTAHLHK1FHMfGbj+t/7V7HgMnOHZgfD+98IPsxT5qgjDm2q0GXhAhSaLuelrPs2PuoWnimMmYarrH9ryIn/nUArc3RaJls+uiawoTBYNcVmOynCVniTVA0dK4tdEmjiPmJnIYuqjf1cqiURrFMcWcSSlvUClmCKMYRZa4s91NX0McizTvfaolk/fvtpElibyl0R34/NSVafwwxtQV0Ywd1slP2nRa2+qyMxxInCxnHisyfsyYMWMOst2w2W0JQ6rnPsBw1xjBV16Z5zf/7TW2GgNefWuLL74w+7Rf0phTwN2dXjocVymanJsvPfHnONzrO1y/B+i7wrxusiTc//dvo6kyz52pcmujgz/sp24FEY4bIksSpbzJ557Pokhw9fxkao4n0jzuP6D45ZfmWJjOk0QwPWFx/W6bessWwolDe6n5qRxRHLPTGmDqwshLlmUcL8QPYoJAzEzszxnspyQkSSJMrMKIVtcjihLKRQNVuf/aSwxZFtjaG6CpMmfmilimlq7/7mdQsb8vK+Z0om5MGMVMVaxnaq+xMJWnWjSJ4g9PMHSaOO4zmK5k2aj3WdvusrU3II5Fb0uWRfrLfprJVMXir//0GVo9n2rRpNP38fxIGM4pkjBxPFNltzXg9lYfSOi7PllTp1a20IZGZ5IksdsSYo+5yRxfemlWmEHOFVnb6hHFItnedsRgcBBFtLoupq7ypasz3NzsMj+Z4+tfWEGRJV48P4HnR9TKGWRZZmE6x3trLWHeamr4QSz6Zk9h/y5JEuX86Rt6HDPmw+LG3RavvrWFqir83GcWqTygjui4IbWKRRQn6KpMq+eTs8T1pW8HaQ0PhkbVEqnH8+HZqCdBMWfwysUajhewtWdz/U6L2ckcZ+eKGJqCqkgPrVfc3uyk4oibGx1+/nPL6VzX3GSWt2416PZ9NFVi7hiDnP0kJBitjcZRgqkrzE1mkWWJJBbJ554foSgShZyRGnkUsjrdgYe3f984YeAEqYhDkiQuLJbpD4WdmUO11JkJIY60PZ+8ZaRroPsxXc0+klH2s8DCVJ5cRsMPYzEfd0rqv7qm8MrFGrYbHltnPw0cno1RT6H41tAUTF1luzFAkiQy1eypMao7iG6oOH5AAmgqdIai99PERCnDZNnC84di/FNyLB9EkiGKHs2E+TjGIo6nwG7LZm2riyRJQtldMMVgxEOcrXq2SOtQFYk//MEajY4jXPTdkKlyZtiMkbC9gGJOp1o0qbccdE3huTNVzi+UeP9umx9e26GQ0zm/UEaRJYo5g+fOVLkzjGY8rKycKGX49OVprq+38bwITVU4v1A6srmfKGXY2O1jaApRIgQfXTtAlkWTd794UMjqTE9Y9O/6uF7Ee2tN3l1rUitbfP5Q4VCRZQxNeaDqfn/DuDFMNViZfTRlqCRJIw3s+m4/bTqHQwe8fTcyEC4b40GPMY9LMWdQRBTqNvcGI8PPh5mdzHHt1h4926eYNciaGn07OLIokkj43pubuH5EKW/ylU/NE0UJ799tE4QRGUNhr+OytWeTs7Q0YaOQ1bG9EEOXKedMJsqZEYVsd+Dz1s09/CDi7HyJhalR9/59fu+7q9waqs+3G2tMljMPdPQMwoSBG4ihFFlirpZFfcjFrGv73N7sIkmwOF1InT+DMGbgBJiGkgq7nhT7MYnHcXgBNzuRY3VLNMgvLpWfilPImKfLxk6fu7td3CDGDyJubXS5vCIEmiLZSX2sCMdCVqfRcWh0XNp9l+WZIp2+T88OeOHcxMhjBmHEwAnJHHLLjIbx0/vcb5gqb+mszBbp2T5BFKe3UxSJ8gH3mRfP13hntUmr67E8U+C5sxNU8iYXlyrpJu2k10lFkdEOpAuBcMTeX2MYukJ/uP7Zf40wjNgOY0xd5dJSBd8P+aO/WKfRcagUTX720wvHnhOmq1k6fSHMMI17KTv3c9fJZbQRoWje0pkoZRi4QepiMXsft83dpj2S4NHoOMxO5B54bhnz8UNTRx3fw1isLSWJocuywplCkVxGxw8jNup9TF2lVs1QLWbp2RGtnovtibStzb0BX5wtsNkY4AcROavP3ETuxMU1RZHHA1VjxjyD7F/D319vi0HtnMFmvU+r52JoKjtNGykRyX5910eRZaoFi8srFeotmz95bR1ZhmrRII6hVjZ55eIUr13fJYoS5qfyzE1ahFHMmfniSFH/8LrgQUPXHyfu52w5ZsyHjR9EGJpKMSuhylDK6rQHPrIEtYrYS7t+SNbURlLbXrwwyU7LJggi8lmDS0uV9HcJYBkaiiKjqsKR9aCxQhQnRFH8SGvQ3YZDgtj7bjUdTEPFGp47btxt8edvbALwhRdm0/2vZeoszxTSvfHlQwOXcSxSRhVFZrqaTdMvM4ZKtWieqEB/eC/+sObKaSr6t7ou3vAcnCTCZe9ZGqwa8+iow+96q+vgDNMmbVfUyrf2+mRNTTSahzXzM/NFgjBO9/Ozkzn+4Htr3N3po8oK9Y7D+fkSs7U8sxNZPD/i6tkqpbyRuirup2hcWq7wzVdX2dmzyZgqe22HmWGq5bm5EmtbIoUzm9EwdFGv2BdQParjWRwnqYADRJru4lT+sRrorh/ietHQgfv0HL9jxox58rw+TOG4uFR5oMBzzMkwDZVf+OIKv/XvrvMvv/0+X7g6M04kHPNQthuD9L+bHRd/Knride2ZiSw319skCeQs7dheqaXf24sAVAr31iq6prA4nU9nKNxChOMGqKpMtWiiyKI2W8gZop6fUR86XGOZGleWq1y/0+Jbr66y07RZmS0yUckceX2NjljDZwwVVZHRhvMesiTh+hHFvI46rA+Lx1Z54/06QRhTLpjMTljsNO3hni25l1A4JEkSugMfWRYpDHOTuSNDr3Es7idJx/eILi9Xhms1Ifz4+ueXn3g/9YPS7Lrc2uiQJAlLM4VT5+b8UfDll+b4ve/cpGf7lHIGu22XIEx44fyk6Ccc+MwsUydjaEPjp4goSZASMHWVuckcy7MF/uiHd8iaKpIssVArYOgiDXy7aYukmiDizIEE+ihO0LhnDBHHCc2ey5vvO/RtjzNzJVRFJpcRhjKVosW5hRKGpnBjvU2z43LtVoPdts3SVIG/9NlFlmcK7LUdwig+No3yg/ZXx4wZ8+h0+z7/5k9vpiLLf/UnN/l7v/T8fW9fLZn0bB9VEYPcB+cJlmfyVAomO80Bsizx5ZdmOTNXYn23x0Qpw/LMh9OrlGWJW5tdHFcIJ/t2wIsXJk/cR/WDGM8PCSNRs6y3HQauGIz2w5hz8yW2GgN0VWH5IbOJV1aqfP+tLeIkYbqSpTPwUuf/JE7IWxqqEoIkzC8Pmmvd3YGBE6bvyTq0J5IkaWRdsj87oSoypZzOrY02za7H7KTFXzkmteTjwL6B4WlDVeS0fncasUyNpZkC240Bhqac0rmDBNcPSWJIpAQvCE+liCOfMegOAiRAkSSWp0+fyfSZ+SKvX98FhLhtP5n+NCEhkbM0Bo6Yb3vcntSztUP7BBBFsWhmDl21b2100gHCB7G61WW3aQt3bC/g5nonVWBmTJVC3uSnZ4p07YA4EcNhfhCxUMuhqgqVosnGbo+BIxYX3b5PvWVz7XaTn1yv44URE8UMpbxOwdLTi30QRryz2sT1InRN5tx8kZylH7tRunp2AlWRqDdtHF8UCaJIqB4/dWmKIIxQZJnF6TzlvMmL5yd59a0tDF0IPPbaDqubHeZrYhha104uyDipk+BJ0LTRg8kyNKZWsuy2bDRFZuqUKVDHPJuYhsqlpTKNjouhK0xVjhakNFVGkiWiOEkTHw5/PwHu7PTJWToZU9zOCyLOzBYxdAXPj6gUTQxdZbdps9MYgCTi5R62mPruTzZ4+1aDOBbnoP/4axdGBrP3z2HX77SEGERVsL2A77+9Rd7Sjwwb2G7In7y2TrPrICOl6tY7Oz1mJ+6/mGj3PLp9n6WZPH4QUczpWKaIkn37VoMgjJEk0dB5WovdWsWikNUJ4+SJR/X1bJ+Neh9Zkliczj9zxdUxgttbHbp2gD/cHN/e6mK7AdduiyQGRZG4vFw5Vgj1IAZOSCFroAzFhPuOTXGc4If3BrFcL+Ta7SZhFCPLEpeWK+lwoq4plPKiSQEce74BUQC4uFTG9kKeO1Plxnob2wlY3e7yz/71m2QMlefOTpAzNf7yZ5fRFOEGvJ/Q8bgsThfwgzauHzJZyoycOyxT49JyheaBc2UUxby71mLgCFHb5eUK76w2aXTEkHyz4/LmjT1+6sr0yPPYboCmyKnjT+YE6WeWqXFxqSIchAw1/eyWpgssTT/wrkcGTvRT6KQw5smwMltMvztv3doTKSyyRJzESJLEC2erDNyQIAhp9z1cT7gvr9f77DYHOL6ITtc1BU2V+dPXNyhlTVRV4k93RVrXyxdrJ9pTjBkz5tlj/xoehBE31jvM17KcXygxsH0GbkDe0unaPkkMizN5kVwpQc/2+Nb3V9FkhXxWYzAIcbyQ6UqWSjGDosr8tS+dEeeXMGaz3kdVoNF2qZWstCBZLphs7g0IQ7GGeJgr05gxYz4Ylin2wGEUI8kSr1yu0ep6SEM32EtLZQZuSDGnj+xvLy1VhGN+32d6YjSV7+5OLx3+r7ccynkzFSl3+h7v320TxwmVosmZ2SK2Fw7d8Ty+9+Ymvh/z3NnqSDrmwA2J4oQkgTiORMS7oRLHMb/3ndvstcXau91zOTP7cirm/tJLc1xaLqPI8kgjLUkSrt9t0R062c3XcrxwbkIkiJ4wlRhgZbbAzfUOfhgxM5F95P3VcbS6LqtbwjRiaabw1Bw4D9d7xkMqp5+cpTM3maWcN5iuZrm91UGVZTRVZqth87nnZ5ibzKUDkvtDEpoqMXBCfvP33+b6XSHwLGZ1sqYwbTozW+DKSlWk16gKN9fbNDou9bYDiMGAIIpx3JBCVmd2MssbN/Y4v1gWDtHVLF/79AI3NzuYusLyTPEDNSplWRoxQFIU6bEerzvweW+tKUyshg7BDzO9GjNmzMeXN4YijsNpwmMen1/84hn+1R/f4P27bd662eDquYmH32nMJxpNlfEDcX2XZelDcTiuFEyy5ycJwhjLUEfWEI4XkiQJlqnxc59b4u1bDWRZOvLdPdhDWJzOU8zqvLPaSnslGUPlzRt7xHGCqspcWak8tM8WhjE/vLZNkoCpKbzxfh3LVDm3UBq5XaMjkgf2Hy9JEl6+WKPednglq1MtGvzhq3f49l/cwdQV5idzyLJErWKRNTVsJ2Rx6t4shB+MCmXev9tO+zozE9mR4c44Trh+p0V34KMqMkszeda2ekd6RDMTOf76T5+hOwioFDNIwM31NkEYU6tYz0RN+dZGJzXEWt3qUj1FjtofFaoqk7f0dL9qRTGL03m++ql5zKGIaJ8kEd+NzfqAzb0+lqGK/npWp1rKkMvo/M2fPc8f/2gdxwmQZYlPXZpis95noZZHU2V2WjZZUwgy9tf7B4mThHLO5OrZKl4Qkbd0rp6rst0QoqRKwUy/W54fUW877LSE8Lvn+Pzo3R1euTjFzfU2YZRQzhv86z+9yW7LppI3URWJIEyYLIue4ZWVR++vjhkz5tHpDNyRlKye7T/w9p97boZcRsNxQ84vlkbSchVF4dOXa9zc6JAxFM7Ol5mqWB9J4sN+8hUI42aRWnWy+sJua8C//OMbBEHM8kyezz4/M6y3iM/j/EKJKEoI5XjERPM4ynmD5dkCUZQwU7XYaSls7ApRy9n5Es+frbKxNyBrqiPXeBC1U02V8fyIatF8oLA9ihPeW2vSt4WQ9dZ6mzgRJpa2G/GDd3b48ktzJ3r/Y8acBE0VhuyaKh8RIZ8GHD8iDGOyw3OW60f4foSun646pKoI4UMCoEqIuKPThakqVAsmfSdgopQhiE6f0aCmykJQPfT6flwjkvEk6NPgwHU8SRIRmXnopGa7Aa2eh6krlPMmu0M3q3bfxQ9i5mo56m2HMEqwTIWXzk9SbzkEUcSdHZtayaLT9/HDmKtnJ4bPNfoyNvf6ogARx9zZ7VNv2bx0ocZ339xkaZjGsdO0cT1xgPhBzMANHxiXdnm5SjFnsL4j4sR0VSFjqFxerow4RcA9l/uD7z2K4qFSVyZOGKrr778hO/g5PSkRx3RFOJn17YBCVmeynEGSHhytOmbM45Cz9JGNzGHubHexDI3FqTzNnoehKZw5RngRJwmmrtLqedhuwLurLTK6yuwhN5b5Wo752r1/S5IEL4gY2AHusHhz8PXc3Oikm7Sdpk2r746IOOptkQ4wN5Hl2mqTvu1TyBpMlDLcXO/wyqXayPO/9t6OSBAyNPzAZaKUoVrKsDSVJ4zvRSTvH9cZQ6VSMEmGJy9FlskYclrEbXbddKA9SUTK0dNULH8YjmBhFPPeWivdAPpBxPNnx82VZ5EwFAv7OIEgjvD8kHrbSf92UZTQ6LiPXGRMSNBUmVLOIAiF8wNAxhx1n2p03XRgIo4T6i2bXObe+eL8QunIdfg4ZFlKxR8vnp/k2u0Gd14XSV17bSEG/emX59mq93nh/MQTERUZw8Sw+5E/IC4F2Os4qSg1CGM29wYcLpEc/nnf6QeEo1fGUJks8cBz8D6FrP5Y55bZyVyaFlTM6SNuyGM+eewf+9WiOUypk5GkhOWZAn0nRFNl1nf7VIsiXe/uVo+5Wh7LElGwIK7bwqE5pNPz0TWZUt4kjhPubHefiYbbmDFjHp3m8BouSeIa3Bn4TFey/MwrC/z5Tzaw3RDXC5mZyLFQy9Pt7+H6IQM7oD9Mt3P9kIyh4vnifNG3fW6ud1io5Zmq6PzkRj19voET0HeC9NpmaApXz07Qd3wyhjoWDI8Z8yFjuyELU3m8IMTQVMIoolYWzctK0WSybHG/UcW5yTxzx/wyPlTwSw6shu/u9NI9Sb1l0+w4gBiw3h/cAfjxe7vMTWYxdRVNU0gYusBKEEQJQRiwUe8LZ87GgP0t/HbTxg+jkdj0idJRMZjjhamAA2C7YTM7mXtkoYJlaiceOOw7AZ2+h2Wq9xVmxHHCzQMDQzfXO3zqkvFUnKnLeZO5Wo5mxyVjqCP1mzGnE0WWuLxSpTfwef5slb94Z5c72yKpJokTLENlopTBCyLubHfZboq0HVWRaQ881rZ7JEkijJLihPlanrOzRRRZONzumz00Oq6opXXFntf3I5DEoFUcJ3h+hKbC+m6Pct6kWswwVc3e16goimJ2Ww6SBJNl60QiqwuLJda2Re1gYSr/WMdQvWWn/YswjGl13Y9kuGPMmDHPHlGc8JP39wB48fy4Fv6kKOUNvvaZRf7gu6v8H390fSziGPNQzi+UWdvuEscJC1P5EwuvHxVjmF5xkM16n/VdMWswWc6wMlvks8/P3PcxFFlCVYVYNmNqXD1Xpe8EWKbGZr2frvfDMKbZdZmdePBaO0b0GOI4oecEmIZKPqOztjVagz03X+S7b27i+WKW4srKBBeXKlxcEr//vT+/xW7Loe/47PoxfpBQK2eQJTHsk82oqcu2rsnIBwblvSBKBRwg+rQHBzxbPTdNYwuHxlfa8P6He0SWqWOZIvX9vbUWUZxgaApd2+fq2YmRxNaPmv1ZmXv/cLS/M0ZwZaXK69frhJEQJL1yaerYHpfnRzQ6Lnd2ujheRN6SyGd1dF3F9UJub3ZYmM4zU7VwvAhNkWh1XfpOQJIkaKrBbDVLNqOiqgrztdwREUeSCCfxfTOYneaAO9vimF2czo+s46tFk9ubHUDcR1cV4ljsT/aTdb77kw00TaFvB6xtdZmp5lBVmTCOsTIau02b6Wo2FZWMGTPmw2GqnKVSMGkO6wtn547OJh1EVWVeunBvJiiKYuptR4ggdYUgTFKx4k5zcF+jySfNRClDvSWEF3lLR3+EpM8//tF6OiN1d6dHxtCoDV/3ne0uGV1BlkU9ZnWry5WV+8847DRtchlxnra9iHxWJ2N6SBJMT1gUcgaF+6TwSpI0ci6N44Tdlk2cJNTK1sh5udlx6dtidiIMY5o9d+Sx4gOzWGPGfFBcL+TGejtdsMVJwvmF8lN9TY+KqatkMxo9O0CSIG9ZI/2N08JOy0aSQUrE3NR7a03OL1YefsdniK2huVHG0MQadiiaO01UixlsN6TdE72ow7O6J2Xcnf+IURSZ+amcEDkMI7EONzX2nTj3CwqL0zGaKqfRV2GUsDJbJG9plHIml1YqVAsmm/U+a1s92v17xYf9ogHA9ESWdt/D8yPh1KWI500QG639hUgUJ4RhjHqMYu4km6LDhZZ9ocZhV36A51YqvH27QbfvUymYLM4UuLUuNnEksFHv33fo0fVHPycviB5adDkJsiyd0rinMR839s8NhaxBIWtwcbl87FDVyxcm+faP7mK7gRgOleB7b27xyqUai9OFYwur+y4cd3d67DYdZiezZDMal1eq6QB3tZBh4ARpjHEQRNze7JC3xDDy/rF35cwEhazORmPACytVMrpGFMdHBGr7wyHlvIEqg5XROD9fQpIk9KHjpHPo/CdiczNpioCqyMzXRJHy8LDHx9GdLwxHFfz77qpjnj0qhQyFrIHjh+iaQq2SPfZ6+KiUckb6/Z+pZpmuWhi6QilnjFyTD6c8HH7ug9fhnaaN7QYjDr33w/GC9L/jJBlRPj/MXeLD4vAsiCxLXFqqcHenR2/gk7M0nj9zb3Pi+iF3d3o0Oy7tvkuj7TI7mcMyVX7us0snEnI8DoosjcRNjxkDQvBMItxaclmNjd0BSSzcar2hE7Wpq+i6SgyosoxpqGRNlShOkGUZQ1VodT08VaZaNMlZ2lMZNBwzZsyTQTtwDZ+uinS3fSfEM/N53lvrcHe3h+tFtPsejhfS6LrYQ6c8RZUIooSZgkGtbOF5EfWWgxfE3Nnpcn6hjK4pqTkDEkeaFpoqPzXn+TFjPmnsJ2tpqliDrswVMDQFWZIeujbfbgxwvJBKwRypsc1Us9y428bxQhan85QO/O7gnmHgBOiqgmmoxHFCs+umYuk4Tnj7VgNNVVBVmUtLFda2usPGoMntzT6mrpIkwlFzbyiQnq5YJ2qEaqqMJN0zmNGPSRl9kgycgHduN9LnOzNXPLa+uD+YtU+ciPSRp7W0mpvMMfeYRf4xzyaKfO/YnqpkaLRtnCBispzBGia5ztdyvHVzjyAQJgBBKEyOvCBGkmSypsJUxeSrn54nY+piiHLYrFdkCUWR0u+xSMEQwwRn50rcWBfGIJap0ux4NDseQRg/UByxn3wJIh330vLDm385S3+gOcNJOFwzGafRjBnzyeX6Woue7ZM1VS4snq5hkGedX/7KOf7w1TV+fL3Omzf3UhPAMWOOI5vRHjiY+GGyUe+n/11vOUM36uPXBofnKvwgZmYiSzkvbv84vURdlXnx3ASvvbdLgkhaVhSZ6FBPpFLM8Hf+ymVurHeoFk3OzpfYqPdp9zxyloa37wQ+vFvGUIYJzUJYtW++tdu0aXRd3rqxx1TFYmmmgCoL8f3++zqc/H14hkNXlRExxBFhzF6f9Z0+G7t9/DBmeaaApso4bsDe0JBsqmJ9KIZ1D0KSJJZmCqxudSGB+amjgoExgpmJHP/JX7nC7Y0Os7UsC1PHG5BKksRGvU/fFkYuQRjheAGlvEk+q6NIErYbDMXhMn4g0oFLOZ3tpkMUJ1xaqqSmr8ehqTLztRzru32CMBqZX9isD0b2G9PVLF96cZZ2z2OnadN3An72bJVG596QcRgnqHECB/bkcSyspYMg5NZmh92Wg2koXF6uHjkexowZ82TQdYVv/MIV3r5Zx9RUnn9E0e97d1qpmEBTZWEKn9YCP7o9/spskVLOEKlBefOReqiuFxGEkUgnTiRM/d75ppQzcP2Iru2gKTLmQ1z7dU1JZ6SiOCaJSc2jm12PM48QjnFj/V46V6Pj8vyZavq+5EOnxFcu1Hj1rS1h0l0w+czlqZHfD5yAuzs9kGBxKj9OOhrzSHhBNKK4df3TN8OmyBJL03mR2iPBynTuVIpENUXGIwJJrJ2epjD7ccmaKu2BTxjGWKZKPnc6e9ULU/kjiUqPyun7630MmJ3IUStbSHBsFGTPDljf6bHbsskYKpYlCpVr213OzpeIkwRNkTm/MJumT+w0B7x3pw1AFMHNjTYvnptk8kCD0tAUXjg3QRjFQyeumLnJHBv1PsXsPYfo51aqyLLEne3ucIA7QZIlMrqKpgol/sANUBURB3P4RFYtisHvesvB1BXCKGa3ZTNZyowsjvpOwPrugEtLJeIoQdMUXDcceawHbcAGTjDSaO30fGbH9cYxHyNWZovcWG8TRSJ9536uuDMTOf7WV87zw3d28MOIzfoAVZG5cbfNXtvhuTNVkkS4/GaGLn+dvk+n74vjKLmXENAdeKmI46dfmeN7b8qEoSh41luimFIfuvFVixl2WyKtZ3muxPPnJmj3fMIoppw3cbwQP4j48fX6sPCWpd508MOIqWqWF85P4HoiGnh5WAjqDfx0mMTxQqI4ZqpicWGxTBDGKMOiJYiY5blajlZXvPYHqRmDMKY78DB0NX1/pwFDV8hbehpVOXbyf3Y5t1BibirLwA4xDIVLSyIS1PMjurYvBjLLGeI45rX3dmn3POZqOS4vV4njhPXdHu4wDvNgspQkSSzPFNjSBxQsnfJ9nPYny8K9v933yFv6fQcythsD7gzdMetth8vLlQcmc1w9M8nr1/fYazsULJ0ry6JpUymaj72hb3QcbDeknDdSAcXACXD9kELWuO+1f99hwg9ishmNgRuQNTXmJrNoqsJf+9IKrh9i6iqyfDA6Grb2BsRxwmbdxg/EWsN2hbjj8lNqRI355LHXdhi4Abqmcn4hi+uHbO3ZDFyfTj9AkSXaPRdDV5mvZum6AZqqkMvAyxdrlLI6P75eZ6/jUi5mWJnJU8gZJEkyFiCPGXOK2b+Gd/oeGUOh1fP58Xu7zEzkeO5Mlc88l+HKSoVrtxv86J1dJBLCICaMEuQ4oZw3+OJL85ydLeD6EdduNynlTWYmsvSGDZOV2SJrW138IGJmIvuRN+THjBlzj6mKhRdEdAdijzBTzaa1siiK+J0/vsGd3T7PLVf4+hdW0vvtD9yAWMc/t1JNkzIbHZfJodGChMTADdN979J0gffvtgjCmNnJXNpIBbi4VGZzbwAJFPN6OhQVhjErs0UsQzxGuWik9QhJknjh3AR3d3okwKcv1VDvM0x1EE1VOLdQYrM+QFEklj/ktNvuwB9JJO70vWP304osMTuZZbMuHJ/mJo82bFw/RJakj/1AeRQndPrCPONpppx+nKm3HTb3xDDV7Y0OthfypRdmKeVNLi5VeOP9XVTFoNn1MA0FWUpIEglDl/n651f4wguzJDAy1CZJEhcWy9zZ6uIFEVlTQxuKpBRF5rmVMlZGY22rl/YE2n3vvjWDMIpTAQeIYymOk2Mbma4fMnDEvvxJrC1mJ3Pp85fyxjhpcMyYTzA/uLYNwKcuTY0HeZ8w09UsP/e5Jf7gu6v85u9f4//xD788NgYZ80yiKnI69CjLUipY6Ns+m3uiB7owJYQd/cPzAgOPmYl7a52Zapa9ts1eR5hg7vdfkiQZmmBEGJoQsxdzRmqMd/XcJOcXy6xv92gOhybnazmiKKYz8NFUmbylUylm+MzwMffaDhvDBJGBE3BuocTdep8wUlGVmMtLZSqlDBcWyun6qZgzuLnRSd/j+m6fUt6gmBMij/XdPoossTg9OhRUyhtMlDLsdRwyusr5xRL1lnPfHlGnJ/qMhZxOveXgeAH5rMVW02Yw3Cc2uy4vnJ/8wKkrcRzz+vt7NDsOs5O5h4qBamWLasE8stYdc5RaxUod4UGImPZTa+ZrOWHakCRMFDMkcYKqyHRtn4ypsde2UWSJldkCpazB2zf22GoOIJE4M1skZ+mcNTVyWe2BAo59Zidz1CoW9eaA19/fw/FEUrCqiu9PGMUEYYypK2iqwoXFMkvTBVRFwvOjkTmIn7o8zfU7Tbq2z3wtR7VokjE0ClkdTVEwNGn4fiPqLfuxHY7HjBnzcDK6wqcvT5/otmEUs77bxw8iJkqZkbpjEMYsz+TZbTkj80AfFfebqXgYz62U+ZPXbeI4oVLI8NOvzNO3xWxBrWLy7b9Y5+Z6B0OT+YUvLj3wsc7OFVnd7hJFCbVKhtsbXfq2jyRLlB9i5nOYTv9eOpfjhvhhnAo2KwWTVtFL58EuLJZ5+eIkfcenmButhyZJwnt3WjjuvXmJVy7WRm7jBRF928cytVM5FD7mwyWX0TCNe8Zxk6dwhi2KE1o9n2ZXHFfNnnff+uezzGeem+LPXt8gjhNqFYvPPD/7tF/SIxPFkM/o+EFINqMR+OHD7/QM0ul71FsOxZyeJtU9KuOz7VPiQRvQvuPz3t0WJNDqeZQ3Ojy/MvHADa7nR6nr/f6m5uJS+Uj6hSRJaVNWURS+8Vcus7XXxzIVQGbgBuw0bL716ipIwom/O/CZLGdodh0GTsDqdpeJokkha9B3As7Nl0aeIwjjNPHjxkab2Ykchqbg+VGqOqq3HG5vdthp2dhOwOJ0HlkSStzlmQJbewNUVX7gQJplajheQKfvo6kKU9WPJnptzJiPikJWP7Jgvh+GofLcmSqvv1/HGDp77jRtBm6QFjr3zzt+GKWxfZqmcGe7SZLEeH444mw1O5Hjl758hjBK2Gs7bO0N0t/17IBqMcPzZyZw/RBDU1AUme7A451V4ZT11q0G19da6X2aXYdf/PIyd7Z7tHvC/W+qaqVqcxDOPp2Bx94wIqvdExe6yXIGTZXTYfcgjJksZU7kUhmEMdduNdIUi5XZIpPl07GQlCSJi0tl2n0PRT4+0WjMs8FUJctXX1mka/vkTI2l6WLqIHSQ16/XeXdVHBfbDVsMRkmw07AB8Z03NCUVN3h+xLdeXaU78JEkiS+8MHPfa+NJ1L0HiyckopHwIBGHriv8X/7qZXZbDvmsjqEphFHy2Bv23aYtHJUQgpLnzlRpdV3+/CebBGFMLqNyZWVCxMxNjA5Q3drs0Bw68+iazKcuTY00E2RZxjL1I8/X6DhkMxquF2KZyr37SJD9kFI4xow5THfgc2tDpM2V8jrVYgZDV7i726c/CPCCCFmCrKlRyOkoikTYd/H8mKylYRkimcMyVXRbRpEkqqUM2YzGdDWXuvg+DkEYcf1OG9sVw1Jn50qnrkgxZsxpZ/8a/sb7dd5dbQJinWDoMiBxa6PD7Y0Oq1sdthoOQRiiqxKapjAzkePCfIkXL0zSs33yWYP9I3h/iNvQlLGD7ZgxzwiSJI3sgQ/y2398g//w2jokcGu9TcZU+ZlXFoDj1/H7Io7ewGN1u0sQxhRzBueCEgx/l81ovHThXl1hfbfHXtvBNFRevjhJEEZ4fkwUJ+laBURyxeJUniCMqVWsVAgOkLcMzs4rkICunXwNUs6bH1nqT/aQecPhnw8yX8szMTSeOexWe32txXt3WkgyvHyh9rFNyYjjhHduN7CHDdz5Wm48FPOEef9uix+8vU29NWC35VLMGbzx3i6uG/K3vnaBs3NF3l1tEsoxl5crdAYeecvA9kIKGZVS3qTedljf7SPLEmfnimmNKG/pPHd2gitnqrh+RLPr4vkRxZxOpWDy1s091ra7JIghxtnJ+6dwKLI00oi1TPXYvYHtBqnjtSTBpYcYRJwE5QHp2EmSsN2wcbyQcsEYJ4iNGfMx5/tvCxHHZ5472fDYmEfj//yXL/JHP7zLu2stfnhtZ/w5j3kmObdQYnWrSxwnLA5TyMIo5t21VirY8PyIyysVLFMdSf3LmhqNjkOn75PLaCIB2Y/JZ4RhWs/2yVs6a9tdrt1usrU3YK/lMD0h+pU//fJ8uv4xdZVzi2VcLxRpqIrMtduNdPBxfirH7MS9dfN+H3KfQs7gP/vrz9PoeVTyJkgMTahG11eKJBECrZ4rjPSGj704XbhvX1CSRBL4wTTwB/WIcpZGz/Yp500yhsrZ+RJTFYs33q+ntwnCGD+IPvDA5k9u7HHtVgMY9sFMleWZB5sQHWd8OubhvLvWxPFCNusDfvTeDi+dn2RlrkQpb5DNaNScgDdv7WFqCj7ib1wrW/z4/TrvrjVJJIlKzuDmppjp0TWFudr99wuHaXU97u4O0FSZ7caAM3NFzs6V6Nk+7w2P15ylURsOs2mqTLPrMvACpqvZdA5ibasLJJyZLVItZTi/UEJRZExd5e5Ob2RGYdy7GDPm2WF1q5v27jt9D0WRiCJxQTYNhVolS61y8nPKs8DSbJHP+hFuEDFRNMlm9NQsq9v3ubneJggTwjjme2/t8Jnn7h+nYRoql5bupZve3uxSbzvIksRU5dHmGw1d4c52jyQRycjaIYOPw3ObwBEBB4ga4HZjkP7dqkWTTl8IQPYT299daxJFot5zcakyNnsZM4KiyFxZqdLpe+ia8oHrgU+DKIq4fqdFEIlZyn3T/NPG0lyJ2xtd/KEpl3o4lucUIEtCEBjFCUEUf2Ax+dOg0/f4w1fX8IIIRZb44ouzLD6GidlYxPEM4vsx1YJwsddUGfUEcYDT1SzVkkmzI06SL12cOPGw78yB4sKdbTEc7XoRAzeARDj69Z2AgRNQKRiEYTx0DDToDvwjj7fXdnA9sahpdlwaHZdayUJVpLRwsNsa0O57+EHIVn1Ap++xOF3g6rkJMoY64iBwP0QkqJTGAh2Maxoz5lkkCCNurndwvJBK0bzv4MaDCMOYd1YbOH7EhYUSpQNNy3LB5AsvzPL2rQarmx0GboChKzQ7LqahUMiKc0J34DM7kWO6anFro0OSJGQtjYEb0ug4lA6ovjVVQVOFoGSrMUiPs+JwoS7L0ogbv+tF6dBYGMQ0Oi7VoniNjhehyjJ9J0xd8ncaNrMT2VRcls1ozE5kcTwhDBGRhPeUlmvbXeotIfBodFyunpt4aPRxd+CNFE732s6pEXGA+IzH7oPPPsWcwXNnqrT7niiM3kdd2x14Iz+3+96RqE3Hi8gN775R76XX2iRJeG+t9YEc94s5g2ZXbMoliRNtqhRFGVkrPMKc1hE6B95/kojz0Vu3GgRBTBjFXL/TRpZkpqtZguFmY5+Da452z+PmeotqMTOSXAKi0XFnq0e7LxTzlqkSRaIwPT+ZY7dlo2kKi1N5FmoPH0zabgxY2+pSyOlcXh6ndox5PFzv3rVMkWXiJGGynGFxqsBOUzSyojCm6/jYXghSgu/HeEGIF0Zcv9tiumqRzxoUcgY928d2w6GTnEMYxY89oL1RH6Ruu62ux17Oue85bMyYMR8uvUP769ev1xk4IfWWzc31NmEUkwAJwgAha+oszRTIWjqWqWGZGoWswU7TZrsxoNFxWN2SH9ooHzNmzLPB2lY33XPHCbxzu4llaqiKTKVgsr7bwwsiClmd58/eW5f6YUwQiIaDPUzUvR/ztTzztXtDPZqqYJlir9Hue7R7HhlDxfHCdIh7a2/AmfkivYGPZWisbXfRVLGPsN2QKIqfuYGbQlbn/GKJds8ja2oPrTMel3zqeiGvvbdLOGzmfP+tbX75q+c+lNd7HFGcsNMYEMUJUxXrQ00Csd0gFXCAMN8ZizieLHd3+hi6ShDGOH4IfSjnDXp2QBjGmIbK5eUKb93ao9l1KeQ0VCWL7YZkDAVVlbiz04NENNxvb3ZGBFogmvY920/dn/faDs5kiONFzE3m6NkiWftBYiRJkri0VBE1QGB24vhhi2bXTQcok0QYKIgEnISpSvaB6dqPw9beIHUY3us4XFmpnqqk3TFjxpycrb0Bd3d6KLLEpy6dzOBqzKNRKZj80pfP8Nvffp/f/LfX+NSl2jO3lhszJm/pXD07MfJvfhCNJG44w3qrZWpcWCyn7tOGpvD+3TYAq1sdPD/C0BVhbpeI2sv6bo8/fW0dJIm1rS7dgY8fRbhexJUz1SO10f3UjO7ATwUcINZbB0UclYLJdmNAFAkn34lShkxGZz7z4D7MylyRWxttml2XWtlCVWW2GzYzE7kntq6ar+VQFRnXD6kWM+lAZjF7r2dk6MpDe64n4fD8SLvnwcwHftgxh4jiBD+IaXa99HhodT0KWYfLyxW2mza261NtiOROXVMoZDVaPQ/HCUiQIIEwSnCDKJ25qbdsNusDygXzoT2HVs9lo97H9YV78txkjmxG4921Znq89u2AiVKCoSusbnbp2T7TVYt3Vpu8eH5imCzcQFNlClkDP4hTAQfAzESWgRPQdwIKWX3cuxgz5hnCOdD7TBJYms4zGF4nZ+6TAPqsEUUxNzc69J2Act4gl9GoFDNEUUIxr3Nnu0tmmFb8/nqHOLknJvP86EEPPYIXRJCQzj4cTEHdp9Vz6Q188ln9WPMKafj/kmNmnLf2+tzZ7lHKmVxcfsC5W5LSOjKA7YW8d8CYd2O3nyb1JQk0Os5YxDHmCKoiH5nROU0EUYKqSNhuDBIospjF1PXTlcT93u0GfhgTJ7DTGLC51+fsMYKuZxlNk5Fkcb5RJPlU1ibWtrvpTGoUJ9ze7J5OEcfq6ir/5X/5X9Jqtcjn8/zjf/yPOXdutCEWxzH/4//4P/Jnf/ZnhGHIK6+8wq//+q+j6+JC8c//+T/nX//rf00cx6ysrPDf//f/PYXC6Ifxj/7RP+J3fud3eO2118hmn73FQqvr4vgh5bzJXC1LwTLSjclCLf/AhmjfCegOPM4vlFlVO5RyBufmH2+Ia38zlbM0Bm6A64UoskTB0hg4AVEkYhf3hSXHNUv2VVFJktC3xRC57QX07Hsb9u7AZ7dp0+y6bDb6LNTy7DQG7LWdh7qI77MfybjvBnGw2ThmzLPI3Z1+WrjarPeFYOkRCw2vvrWVutivbnT5xS+fGXHfNjSFq2erdAcenb6P50fYbjgSs7s/tL04XWB1q5sOJMDxmwUQg9+Xlir0bOFck81obDcGyJIoQu5vVIwDixpVlZmpWvjDJJBaJcNWw+b2ZodyTgyhShJH4roXpwvYbkiSiGLRwSjB/oHXF8cJjhs+tKBo6ip+ENF3AjRVZuIUxrk9KeI4IYxiNFUex6R/CJQL5kOjORenC9zd7UMCiiKxOJUnjBI6fXFuUBWZYu7eRjhjqLT7Luu7fXIZjfkTiA4exGQ5IzYkXkgxZzzQkfbDIG/ptIaxhEiQs/S0CRFGMUlCusY4fD7KZTTaPVGMFu7kCu2eP4wgFefSOE64ud4hjhM6A4++LRLDZidFUsF8Lc8XC/d3xDhMo+PwRz+8k7p4eX50ZFBmzJiTsJ+use9AUy2aqIrMSxcmkaWEP/rhHbZbNoamYOoqrh9i6iL5Jopj6i0H1wv57JUZEgkkJLwwxBjuF/r3uX6fhIPNT7jnWjdmzJiPnoWpPKvbXeIoZq/tEkQRSSIGJaM4IYwSdFXG1BVMTWW2lmW6kiWMImw3GA57S9TbNm+8X8cyVG6ud0gONAc+SoIwRpIenEQ6ZsyYe1xeLLO61RV7YcD17zXRFFlispzB8UJyGQ3Xj1JDhXxWZ2lapGZkTBX5MfZ6hx3bfnhtO/3vIIyREPt901CwTDWtwWUMlZ4d0Ol7VAoG+eyTSY+8sd6ibweszBYfO5HygyZ/hFFMGN+rl/jhyRuzT4Kb620x7AQ0Oy7Pn5v40JyodE0ZcS82TlnD6jRQzhtDQxQJaXiM73UcPn15Ot0DO15IpWAiyxISEuW8giLL9GxR3/P9CEmSaHVd/GFjaKpijZguHN5HuweGGy1T1PMeVg/SNeWhxjOHhU+be4O0PtfqeUeGLj8oI/udRAjWxiKOMWM+nnz/7S0AnjtTTZOKxzx5/uZXz/HN762ytt3jm6+u8Ve/uPK0X9KYMQ/F1NWRvci+gRyIHub+vmGjLoSffdtnc2+ALAmR/Owk5DI6tzY7rG522Wk52G6A4wkhfBwntHsunnf/db+uyaPr5kP9yYyhcvXsBH0nwDLUVPzxMPKWxuxkjr22S3bY85Uk4Ux7GH/o8Hrc3MhO02Zrr89EMcP8oXkLSZKYOUage2auSM7SiGNhOvSwlAPXC2n2XAxNue/w3uJ0PhUgKwdMPsc8WRRZopQ32G4OiJOEvKUjyxJxkmAaKsszBcIopt3zuLvdQ9MUFqZydG0fVZHQVQU/ioiThHLOwHZD+gOfd1eb6d/WC6IHru07fZFuI0sS3b6PNxwMPrx3NTSF585U6ds+lYKBoavEcUKj43Jnp0fPCfD9iDiGaskccZhXFZlLyxXGjBnz7FEtmKw5PeIoIZfRKOVNJkqnqxewuTdI62/1loOiyJQLJn4QUSmYBGHM2rZIL64WMkxXLDp9H1mWeO7MUfPHVs/F8UJKOWPEDFdV5NGkkkN1lVbXTUWo2w2b84ulkbqm60dM7s+WJRBEMYYs1iF7bZtv/8XddH3ihyFXz00e+34lYHYyS9++Z9qbJElaKwqiGF29t74Z1wjH3A8/iFAU+VQmJ1iGRjl/L2Vnopg5dQIOgE7Pw/VCoiSBJPnI+xdPAs+PUCQJ01CJEX3w00beMg79/Hg166cu4viv/qv/ir/9t/82v/zLv8w3v/lNfu3Xfo3f+q3fGrnNb//2b/Pee+/xO7/zO2iaxq/92q/xm7/5m/zqr/4q3/nOd/g3/+bf8L//7/87uVyO3/iN3+B/+p/+J/7r//q/Tu//7W9/+5kdVnV9EW+41xbO8pv1Ac+frfL1Ly6zsdujZwcMHOH8dna+dMSNvW/7vLPaxHFDvn9tG0NThjHncho/eJC7Oz3qbYeZavbYjfrCdJ6b622KOYOZiSwZU2W7YaMpMjFQyhnkszqGqqDrCtPHqGcnShm6to/jBRiGguuFtHuMxITlLJ1CVme7OSCX0TENFUWR2WkOHrqRj2PhXpGzRofhDqYHjBnzLLIvlmj1XOpth74d8NyZ6n3dDfe/6wfZHZ4rQAwQtHouljl6/ygWw13VooEsy+QsTQxtJcItpnYgheLcfInNep8wSjB1haWZ+zdpC1lx3MZxwtu3Gqmyvmv7nJsvpQKBYk4nihKsjMaL5ye5uyNEJ34Q881XVxk4AbfWO3z26gxXz1ZHhrrCSCQBzU/mURSJnKWNbG5KOSN1uVFV+b4D6GEU4/oRpq6gqTJBGDNwAjRNfuJugKcF1w95d7WJH8RYpsql5cp4oO4J43ohXdsnOxyMOI6V2SKWqdHsimvxfpqOoSu4vhBWjDqsJrx5Y4+BI0SVJyl2+0GUDntdWCylQ977lAsmh6WefhDhhzGWcTTK+0kyXc0iyxKOG1Iaull86mINx9tkYMtYppaudQ4Oa8Vxwtn5EtuNAVt7A+ZrOZRhok/X9lMRx36zBSBnajTaDq2ei+uFlPImnh8RzxZPLObabdkjA+27LftJfAxjPoGYuspzZ6p0Bz4ZQ6Vv+3zr1VW26n12mg53d/tEcUwUx0wWDQo5DRlJFOE0hXLepJQ3yOd0kMB1I4JIwguiNLnqcZmZyNLpewRhTDajMVEcpz+NGfO0WJopYBoqf/jqKqoqc3uYrqerElZGg0Rc66pFi8myyZWVKq4fEQQx1243ubxc4cZ6m3dvN2n3PPwgppwXyRwftogjCGO8ICKjKyiKzEa9L5zAJVieLpwobXPMmE8icZzQ6gnX01/40hk0XWZ1s8eZuTzbTRfbDZAkiYEbECUJvh/h+lE6wA0wP5lLjVeKOf3E9bEoTtje6xOEMdPV7MiAUTGnc3enT5Ik5Cydm+tthn5vrMwW08RMRZb41qurBKFYs3ztpxapfMC1xI/f2+XtWw0Arq+1+YUvLj+VIc5sRmN5psDdnR4yEheXPtqhkYPutV4g/uaZEw6BPSq6pnB+ocx2Y4CqyCNGIGM+OF4Qpamzd3a6TJQySBIYmsqnL4umervncf1uiyhKyFsaMxM5lmby3NnukSQJnh+x0xpwfbVFe+AThDF3drrkswYXF0ucWygzWbYo5Y00wRYJpqpZshmdrb0BmiqzMvtoLmBRFOP4Ys9xsJ42UcrgB1GaRrq9N0h/57ghYRQ/0ZpTKW+kQxWyLJEfu0COGfOx5U9eWwfgC1fHlu0fJjlL5xtfv8Q/+Vdv8r/9wTt8+aW5scPumGeOJElIDrhdy7LE5eUKza6Hqkj3NdQqZnU2JeEsDaInEScJGUPl/GKJ778lBOvVgkkSJ1iGih/G6MNZiDfe3yWM4yN1lCiK6Q0CJkoZXC9C02SWjlk365pC5T7mc0mSsNO08fyIatFM9zm3Njo0Oi6KIrHVGLA4U2BlpgCSxF7bQZYlynkjvZ0sCxH+wb3fdmPAv//hnTTd8Ysvzp6oFiTLUjrv4XghQRiM9GUP4gcR1243036350fH9riXZ4pkDI1Gx2F24l4fbMxRwiim1fXQVPmxZl1yloahKkRRTMZQjhhISoCqKGQtIShf2+pRLph07YCF6RwzVYusqfHvf3iXqJXQ6rqoqhjI1DSF+gN6Yuu7Pbb27qVw5EwNPxDH3eJ0AT9o4/ohE6VM2u+bn8qz0xCPqamy+C4lMFvNUm87yApcWCyfShfmMWM+iWQzGv6wTrlvXvekiOOEZtdNr4FPcubT9kJ2mzaFrDZieAvQs31ubXQIo5ggjLC9iPVtMe8UzcB/8gtXePNmnXxG55VLUyPzIQM3YHVT3HazPuDScoVu3yOIYqbKFhcXy6zX+8iSMPo8SNceTbHqDfwREUcpd68ukjFV9AM1mp2mMzLPsNN0uHqf976/htg3Dp6v5VjfFfVhgKXpAooi0e555DLaqUlUGfPRkSQJ7621uLvTQ9cUXrow+dgmTE+LJEko5EzyPR+QKGSNY+czn3U0TaE3TGZXJDFfedrIZXSRDO+HFC0NTT1dfwOA5Zk8vcEE6/U+5bxxXxHdw3iqIo5Go8G1a9f4F//iXwDw8z//8/x3/91/x/r6OvPz8+nt3n33XT7/+c+nyRs/8zM/w2/8xm/wq7/6q7z77rt86lOfIpcTG8SvfOUr/J2/83dSEUer1eI3fuM3+F//1/+Vf/kv/+UHfs1JkmDbT2aAr952uLPTZ7M+QJLuxYnVG12qRZNaUWOv2U9v//5anatnR5Wc23sDXNdjZ29AvTVAU2Sypsab17e5tDC6aV7d6vH9azuQwE8k+JmXZ5k6NEhhqnBpISeGwIcFhrwh0XN8lqdKRw54z3U4jtmKjq5YvPZuRBhE9MOIrb0Otl0YPk9COaeyVLO4sd6FJKLbD+j2DG7cqTNTtY4swlw/4v27bfxADImfnSuwMm3R7nnESUKj3aPd7TM3kU0dzMaMeZaYmcjS7XvU2w6GqpC3dNZ3+0xVrJFiRBBGvLvWwnFDcpbGxQPFilopw+rQfU5XlSOukq4X8vbtBs2uy7trLTKGypnZIlNl61jHl9nJHD//uWU6A4+JYuZEgxF+EI1EI+5vFq7faaVDBpWiyfJQEHJuQYyL/85/eD+9LTJkTXXEpSWKYq7dbuAOXW5mJ7NY5ug5amEqj2WqeEFEtZg5VpDheiHXVpuEoUicmKpYZDP3hup7hzZAnxS2Gzb+0AHFdkPqLedYMd+Yx8N2A67dHsYDS3BxsXzfzcpUxTpy/d0XSR3mtXd3kWU5HVB4/27ryG0O80c/vEOjIwbB7u72+IUvPNhJrdP3eP9umzhOsEyVy8uVD7VAejiBqJg3+frnV4iimDgRBZl9F6ckEcka+/92YalMMatzbbWZNiMKB85biiIzXbXYbthIskQxbxAEMeu7fbb2Bhi6QhDGJxZx1MrWiLPWOKZ5zAfB1FXMocPUb3/7fe5sCce3dt8BJBRJAhK2Ww4XlyrkM0LIKEmSEDZmVF68UOPudpdG7KIqEgM35Oxc8QOdzzOGyovnJ4fuKuOkpjFjnjZTFQtZltjr2DQ6DmEUY+gKlWKWC4sl+o5PKSeSOzsDn4liBkmSiOOEvY6D50eUCgabewM8PwSMI+uOJ43tBryz2iSKEgxN4fxiSQg4ABIRJTsWcYwZczzX77boDlP5KgWTr3/+DCCGvv/Fv3krbeBJiBpgFCcMnCBtrIFw2K8WM9huQK1ytJ52P968URd7mCRhspThaz+1mDZbFVkmihISEmw3IGtq7D9s3/HTYaBX39xMX4sXRNze6jyWiKNn++w0bDRV5u5uL/13P4yot52nIuKQJInPPT/DuflSmkL6UVLI6mkNxdCUQ2L/J08pb4wNcj4EXD/k7VuNNN36ysoE/eFxnTEUivkMcZzwo/d2hCDSFzWxcxmVqUqWRsel7wS8v97m1noH2wuIYzFIsNWwafY8dhoDfnJjjzNzJX765TkuLpUZOAGFrE7O0slb+mPtF4Iw4tqtJl4QoSgSl5YqI4YVs5O5dGivbwdpCkjGVJ+4aUitbKGpcupm+WEJmsaMGfN0Wd/tcWO9gyxLfOmlkyfpjnk8vv75Zb756hqrW13+t2++w3/+N1982i9pzCeQKE7Y2O3hBzGT5XuD3o2Ow+3NLnGSsDiVT0UGiiIzWc7Qs31u3G2jqTJztdzI2iNn6VxeqZK3NLYbdipI2He0rlUs9toOxZyBaSg8f2YCP4h448YeUZTQ6nn86J0dpipWet84TnhntZmmgExVrYcmlx3Hfp8ChGHU1bMTmIZKuy/W/VlTI2tqPLdSxdQV3llt0h86BB9MIYnjhLu7vZH1+/puL+2ZgEgkeRRDj9SMA6hVrLTHe5CBE4wMu7Z63n2NCo/rg40ZJYpi3r7VSPcAc7Ucc/f5PI8jjhPWd/uUC8IAKowTrqyM9vec4WNPljLi+9cYMOtHw/RcBUmWub3VxQ9iwkgk6u40xSxUPqOlZmqHCcKYzfqAct6gb/vsthzUqkyz47K61WV5pnCsQ/3sRJZW18XxIs5O5zF0lc29AbqmMDeZY2mmQH6cxDVmzKlhfbdPxlDJGCrdgU934D8RYfD+kPj+XE+1aHL2QILwB2Hg+Hzze2s4XogkSXz6Sg1VkdM+zMZuL03+7PR8Gj0nvbx2Bh6QsFAroGkythPw7p1WOh+iHjhnCmPcPaShKU6j4/LiuYkR8+uDFCw9FbkBR8wrzs2XqLcdkiQZmoPcq/9OVTK4XojthaiKzNVzR8+/BykXzBExbCFn0Og46KqS1j9nJ05+PRrzyaLV83jj/fpIf+JnXpl/wD2ePYIopjvw0+SK9sA7lSKOvi1SgUhEEluv58NRv/9nGl0binqRcIP4VCaySpLEC+cneeH844k39nmq1e6trS1qtRqquh8LKTEzM8PW1taIiOPq1av81m/9Fr/yK7+Cruv8/u//PhsbGwA8//zz/NZv/RZ7e3tUq1V+93d/l8FgQLvdplQq8d/+t/8t//Af/kPy+SfjIBYEAe+8884TeaybWy5hlNCxQ/pOjN3T0FUJ2TfY1WT8MObutpfeXtckVH+XnhMRxQk5U8ENYjb2fFr9kMHAwdAkokDGVBzeeedezLgfxry5arPR8AmjBF2T+T5dzs+evAHZHv7v6o7L2q6PosBzixbl3PFfo3onIHAGSLGI+9zadHnnHbH5T5IEbxCRUxIuTEd0+l0Gdsg773e5cVtiqWYwURgVjGw2fXq2OIHeBRo7OgVLIYoTbm17qfP2e4bMwuS46Tjm2SNv6bxwfhIviFAVMSQpScChAYutvQGOGxLFMbc3uwzckOfPVMkYKp97foZiTsd2Qy4slrHM0eOv3feIooRm12PgBLheyLap0Xf8+8b2Hl6k3w/bDejZAaahoqoy3rARbbsh23sDijkjjdNrdt2R2D1gdOAgGYotbjfQNYWl6QKuH6YCDhAbmfna0XP3/eJ596m3HcLhgjEIYwZuMDKEfb+EhI87h+d4TtsC9Fmn3fNw3ADbizB1mWbXpZAVQq39gsV8LffIw9GLU/k07hse/v33wzgVcAA0Oy6eHx5J4zjIVmOQXkNtN6Td9x76PA/i1kaH776xCcAXXzqZ25MiSyjDyM+DRYFWz6PZFe/HCyLWd3ucXyhzcbFMZ+j4uf9aGx2H7sAnb+lcPTfB2naXrKnhuAHr9T6GJlyI/GCPL7wwe6L3Ui2KYba1rS6FnM7l5QcXPcaMOQlhFFNvOURRLNJjIpCkhBAx2FUtZojjGE1TUFXYqg9AlkScvSSOi426SO6o5E3yWX3k3NJ3AmSJ+zqmHYcsS2ns7pgxYz5aoihmcziYPVWxyBgqBUun1fVAlpAR7ne6LlEtGTS7Dt97awtVUShmNVbmiizUCuSzGqWcQaPtMlXOkqyItfArF2sfegrHTtNOEzK9IKLZccXE+XD9Ml53jhlzPEEY02i7tHouEmKNcHa+mAqzLp+psL7bR5El+naArinEsXC3t12fvu2jKjLbTZvd4ZDF+3fbPH+meqJ1wM31TroP2GnafPO7t+k5AcWcQcHS0oGgvhMMxZ5irXBwT20d2V8nvHO7iSSLvcxJXsd+kuD+a9k3HwCxj81mVHaatkgf+4hFBqoiH5tC/FFwdr7ETkNcH2oV61RG04+Bbt9Pr5Gtnkc+o1Etmhi6wqXlCroqc3enR7PjIksSmiozXbFYmS1iuyE/fq8+rJ3JSEAUJWiqgu2GxMOEDimBnh2wvtvjzZt7TFez9O1AOE6bGnd3eqiyxNwj1iQaHRdvmPoTRcI1+szc8WuKi0siySVJ+NCOmXLepDwOiRkz5mPNn7wm+r4vn0Inz9OIosj8/f/oKv/3/9d3+Nb3Vvn655bve54fM+bDYm2ry15bGEa2em4qari92U33B3d2ekyUMqlQ48j+IYw4PzSTi6IY2wsxNIVLy1WmKlm6tujP7JvivXKxhqkrdPo+OVMll9Up5gzubPeIh31Ndzjkvo/rh6mAAsQ6aadpc3O9jWVo/PTLc2mfdX23Jx7b0lio5UdqIvuCDBA9y4Ereq7ZjJaK+1VVRlfFnMjB27d6Hqos0XMCVFk60usUQ5f3TMCqjyCuT5KEzfo9Y9Hdps3cZO6IkV7GUMf91ifIwA1TAQeIHtejiDjgXvlNkiQxZ3Ro3+j7EV3bozcI6Ns+cRxzY71NKWeQz+ps7PbRNQVVkejaAZoqMz+ZJU6g7wa8dWuPWiXDpaVK2u8UyYFZkMDQVeZqORw/xDRVmj0PVZWPFQEBrA4FI4oscXuzywvDgeZ2z8UytY/cPGHMmDEfjA9r/iQI4xFj1mbX5ewTeWRY2+6lhrVJknB3u89XPjWP50eYhqhB7nVc4jghYyjEMWktxXFDbm1008farPfvid0SsSaR9z8UCcIwQVPEz2EY4/oR2czx4risqXJ3p8NGfcDcZJaXLo5OYsuydF9xpKGrzE/lqLccshmdajHDbstm4ASUcgY5S2N1q5umMVcOzYYZmjIWbYw5Ma43ajB1Gk2UZRJcP0yPbdcPT2Uf0/YigiAiTsT52D+ULHQakBWZYs5g4AZUiubQnPCTyVO3LDrcOEgOZjwN+Rt/42+wsbHBN77xDTKZDF/4whf4/ve/D8BnP/tZ/u7f/bv8/b//91FVlb/8l/8yAKqq8gd/8AdomsZXv/rVJ/Z6NU3j3Llzj3SfvhPQ6ftkDGXkYpiYTRwvYj5JaPV9lqdzTFUsClmdOBaqr/KEz17XQ1VkzswW6Ax87IaNAqDJvHK5zNmBT73lUqw0sZ0AXVO5uFBgbq6IqSs0e55I+9BbeHGXfFY4+q4sz3H57KMNI/Ztn59s3KE8FIc2fY0vXF469rYrXogjbdHpe0OnsTKXlsrH3nZtq8ur13bTIQ89l+fy5amR2xgbXVq9e6KWldk8lYKJ44V4yr2ihKJIXD4/8Ujva8yYk/JBRVy6pnB5pcrtzQ5JAsszhSON+P2z4HZDLKwVWeKd1SYvnJtAVeUHRi/tO9G1ui6uHwmH3p5Ho+MwUXp8x5O+7fPOalMU5iQRo/fWrT1cP6KUN2j1XLq2z7mhAt7UlSPn909frGHbAQM3oJAzSKT9gmUACSxMi2LmfuH1fq56thvi+SHFnI58jAPIYbe/XEanVrZodFwMXWGmmqXTF8KvYs4YWYztN6eND9nh8lEIwojdloMsSakz8+MwO5ETzoiu2KxNjgthT5z319t0+x5ZU2OqmmWnaaeuSgMnwNAUahWLZtcVm+a88VBHmavna/zCF5b50bu7lPMG/8nXrzzw9roqk7f0dLOUs/SHOrYePmY+iGNmGMZ869XVNJXnm6+u8p/9javHHqsn4fC6cP/HYs4Yaea2ui431zsA1FsOZ+eLlHKGGJiJE0xdQZFlZElKxWYnZbqafWqDW2M+nnT6HhlTwQ0UdE2mktdRdYXAj5muWiiKQt8Ocf0+23t9TEOjYKpcv9Pi7naXbt9LXW53I2fkunBjvU2z4xKEMaW8zsps8ZHEHGPGjPnoubnRod3z8IOI63eaPHdmgi+9NMebN/ew3RBZldBlmcmSxfrOgPfW2thegK4o+H6IqWtUCxkmiibFnMF8Lct20+al85PMTuaeuBP2cRx+Dl1XWJkpsrbdRZLgzIcsIhkz5rThhzEDWxgtbDcGaeMwiu8ZIeyv6y8Mh5GaXbHn9oOIrKnS6ft0+k2QIAjie8M1CTheeKLrv5VR0+fuDnyCQDjONTsunb7H2bkSAKWcwfxUjt5QMH0wne7KSpW+HVBvO0yWMsSxlO5F3vfbvHgC9yHXj9I6AMDKXAEJib7tszydZ2N3kDaGFqby5CyNIIwpZvUjCYJBGBFFyX1NLJ414jhht2UTRiIt0Dwgvldk6b6utmNOD/vfxWbXZa/tkM9o5GWdF89V01RJ2w2YqlhicE6SmRy6Pr/61hZxHGPqCl4QUSkYqaPlVMWiWjDp2D59W5iX6KpCo+2QJCBL4hj64bWddO9wZq44YmgQxwk7zQGqIjN5TOrk0VrB/etRqiIfa8RymJ7t0+555DLaiQxlxowZ88khjhP+5LV1AL5yylw8TzNXz07w5Zfm+LPXN/in/+on/OP/25fGCa1jPlJsd1TU4A4HKEc4NDpyeP+wL644mCImyxIXl8r3NbG7slJldavLbtPG8R0aHZeV+SJrW13iWDhaHxQoaKoy0r+0HZ/VLZEg2LN9fnBtm5//3DJ7bYfN+r2ekKbKI0ORxdy93o18QIhxbr7ERr1PHCdMV7NinyMlqTM4QEZXqHdcGh0HGchldfpOkLqFL88UCcOYjXqfybL1SIZUIglaTg3yZPmoGADE2vbiUoW9tpP2Ww+zv9/NWjr6IRFIkiTUWw5eEDFZypyafduHhaErI6KYR02bk2WJxek8r1+vA/DShcmRc/jGbp/VrS6GqrDW7VIpZFBUmbWtLj0nYFlX8IOIasHk0nKFn9yoM1HMkM2ovLvWxtAUwijmR+/uYhkqO00huBo4wmRieabAne0ehq6gKjK9oRDpQaXIg2KoOE5w/YhCVn8izv1jxoz56FmeKfD+nTZ+GDFdzabXpA+Kqsio6r3rkmmo2G6QzvvUjqlhnJS8NfoasxmRJqoOxRVL03lub3YIwoiZySwL03nubAmh49REhjhJUqFGkgjBieMFGLrK2bkiUZLQH/hMVSyaPU8YXiHc5s0HzCi8dr3Orc0ecZxwa7PHj9/d4bPPz5zoPdluSKWQoVIQ8z8bu/30elBvOSiKlBqM3HDavDAUze4TxzGdvo+hq0dMhMeMOUylmCGf1dnc7aNrMsszp3A+V5IpZA0GTggS5LOn00QijuN0HRknCUhHZ+6fdfwgIklEXdv346PqwE8QT/XsOzMzw/b2NmEYoqoqSZKwvb3NzMzohUiSJP7BP/gH/IN/8A8A+P3f/33Onr2ns/yVX/kVfuVXfgWA119/nenpaXK5HN///vd59dVX+dmf/dn0tr/4i7/IP/kn/4SLFy8+1muWJAnLOvmCYOAErO10SRJo9SN0w0wXFFfOatza6BBFCVfOTqXKcj+M+XevrgpHBVXmK6/Mp8ODt7e3eGetix9GzNdyXD6jMz+dY34alucq7LZsNnb7tO2Y77xVR9dkfD9G1xWmqnla/QBFgsXpAvPT5Ud6LwBeKKNp9xY1kqzc9zEsC77yaZ16y8HQFOZrubS5GoQxa1tdXD+kVrbIZrMYmi5OKkAumznyuGcXdd5ba+IHMcWczmytjCxLmGZCqejjDDd9k+Wj9x0z5lmiUjCPqJv32Ws7tLoee21HOLDoCsWcThjG+MMEjwdRzBmszBa5dqtBs+thGQoJj174OUyr56UX//0UjVopw9aBIeqpskW5YCBJEvO1o4MG0xM5vvaZRQZOQLvncXe3T1/yMTXhMmNoCqoq8dq7dTKGys9/fvnIY6xudfjOG5skCdQqGf7STy0eGQ6fqljD1BAxYLIvfNgf+F7b6qZRsIWczsXFMpIkcXenlw7cz9dyz8SwRBwnXLvdTJ1YerbPhcXjxXAPQ1PlY6NrxzwZGm2H197dxfFCNFXm3EKJjCGGolwvJGOoeEFEveVwe1OIDbYaA66sVI8taNiuz6tvbWO7IefnK/zVL53cX+IvfWaBn9zYA+D5sxMPbbwtTecJoxjXC5koZT6Q010UJ6mAA4Qj1fpun2ox81iuTJWCSSPv0u55wgHomHMLCMHsyM92wOJ0nihO6PQ9Fmp5On0fSYaF+zzGmDEfBVt7A+7u9Li0WObmRofzcyXmJnO4fsTAFUK7RttlpzlAT4TjWscecGcnRlPg//PNd7i4XGWynCGKE4pZnSQedb/3w4i72z1Wt0Th7vxC+SN3rR4zZszJ6TsBYRRzd6dHGMX4wS5zEzn+Tz93id//85t0+j7LM3niBNZ3epDEOG6EjRCILstCcBhEMW+8X+fN4RrgwlKZxenjXe+eNLMTWVw/ZDB08J8cxnlPlsei4TFjDtO1ff7dq6s4XoShKxSzBooiISFRLZppoqWiyFxcqgwd3SSeO1NlfVc4xZm6QncwXP8O9+f1tk8QxlSLmRMPP3zmyjR/8uN1/CDi7GyRRvdeol+1mKFaNImThNmJHNduN9huDKgWM1QKJupwGEdV5HQo3A+idHhk/+eTkDVVDE1JTRVqJYuFKTEM3uq6bA8HRUAkjew3PDOmypWVamqMUW853N7qQCJcaD9qJ+l2z8P1Q0o548TDSGvbXeot8f7qLYer5yY+EvHdmI+OQlbnzFyRru1BkvDenRYJsNdx+VtfPQdI2G7ITtMmnzWYqlhcWhbuSe+uNri10UEZirpmqlnOLZSZr+WZqlgkScKtzQ4/eHsbWZKYm8yRQDpM4PohW3uD9Jxwe7PDF16YHRq/hPzkxh7bewMcP+S5lSpffnl0aLpaNOk7QeqK+6iuwIfZN4jZH8Q8M1ccO+2OGTMm5fXrdbYaAyxTPfGw0pgnw//1rz3HD65tc+12kz95bZ2vfGrhab+kMZ8gKgUT2xWDkZoqpz2EldkCtzY6JMBCLT+yRs6aKoaupH2z/X5rs+uxudenPzTUymd1Li7ef2/UP+AaHMcJ5+ZKTFeyhFF8xBRDU2UuLZXZ3BMC2DhOuLHewfVCFEUmOlCfPcjBlIVO30OWJZFggFhr7Yu4VUVm6VANR5ElLi2X2aj32az38YOYRkeI59s9j9VNsfdZni2ksyfnFsqcGxoBhGHMq29v0eq6zExk+fTl6Qf+Lc4vlFjd7BInCYvT+fsmAT5o4L7T9/j3P1jD8SIsQ+XnPrdE7oCR2Z2dHjsN0Z8V+58qmvrsmOp91BiawoXFMjtNG02V033wo7DXdtOUmb22y1RlOFO02eGN63X6rhD6yLLMXttGUxWWpwvkMhphnPC552fY3OvT6XvM1/KoisRU2eLmRpdW36PvBNhuiO0d+m4HEUvT4rtnuwGeH9PqusiyRCl/dAai1XV561aDm3dbhHHCxcUKhZxOdjwsPGbMqcYyNV688HADl0dFliUuLYlroCRJ1CoW1243D6T4RicykjiOhakCV8+53N3pUcgavHB2kj9/Y4NW12W6msXUVV6+cC8Fo1o0yWbEtWx+MpeKEUHMJd3e6tCzRY8nAW5vdHDcENsLeeHshDjfRjGTZeuIGc1BGh0nfX9xnIzUaY+j1XWH6xKJ6Up2RGyqqTJhdG+Yu9v30vcgEkNizGHbOI5j/vD7a6xudlFVmb/0mUWWZ8amXGPujyJLlPMmSZygKPKpNJOUZYmsKRLmJCTyp/A9wEEDngRZljgmN+GZJ2eq7LUdHC+kkjewHtGQ9+PEU10VV6tVrly5wu/+7u/yy7/8y3zrW99ibm6O+fnRhoHneXieR6FQoNls8s/+2T/jv/gv/ov097u7u9RqNRzH4X/+n/9nfvVXfxWAX//1X+fXf/3X09tdvHiR3/u93yOb/ejclHu2P3KQdAd+upG2TI3nzx5VpN3Z6nBjvUO772JoCq/nDb4+FHG8d6dFqycu1tfvtPjC1Zl0o1wumGQMhZ/c2MPzI7b2BmQMEZvV6XnkszogUS4YhHHyWE7z5YLJ8kyB1S3hqPnygQWZ64f86Y/Xafd9ZieyfOHqzDDm/OhGbW27S3O46Fjd6rIyW2BpJs/ACdG1o4UKEEPoL56fJIqTkcKJLEtcWa7Q6LgoinTf4fgxY551bDfg1ua9gQNNkykOFZ+GpmDoJztlT5YzfOnlOSYrGWw3ZLJkUcp/sKboYcV1xlCZqlrc2uzS6rrU2zZWRkGRiw8clKgWM7S6Hr2Bz/t3RdzxZCnDZCVDu+fy1s0GuqoQRQk/fFs41xzkrZuN9Jy62xSONvOHilpxnHBnu0e94zBZzLA0XRhxjKm37w2AdPs+XhChKXIq4ABYr/eZrmafemSaF0QjRd6Dw/Fjni1ev7FHFCfomkIQxvzun93kxXOT2F5IISsSXy4tl+kM7iVKkUBv4B8r4nj1re3Uselb31/lrVt1ZiZyfPpSDf0h54JsRufzV2cfeJuDaKrCpaXKiW//IHRNZmW2wO3NLkEYkTU1tvYG7DRtLi9XRgr2J0GSJC4slomiGFmW7itIKWR1thqDdBikkNORhkMsUxWLTs9joz5AVRgPiYx5quyfA4o5k1cumqzMFtMh5yCMWNvu8u0f3mW6YrFeHzBwAvp2QJQkmLpMZ+Dzvbe2+KnLU5ydK5HNaGlxRJElJEmIyKM4QVNlkgT2Os5YxDFmzDNMKWew1veI4oR2TwwcvHG9zosXJvjP/9ZL1FsOb9/a47s/2WKj3qfnhOmQtyRJ6SC1qSupiBPg+lqLF85NjLi6f1goisz5hccTGo8Z80nj3VWRygtCfCFJsDglamCFrD6y3s1ltBER/8Xhmn1/+Hp/7RsnCcWsQRDGQgzhRycahOnZAXMTOZIENFXCjyJ6gwBdV/jUpRrVolijvLfa4r01kYDb6fvEcYzrCye8ly9OprfTNYVS3qA9TNE9ztn/OBRF5sqZKs2ui67KI065pqGOOJM6XpCKOBw3xHaDNN1wfbeXfiZ7bYeZieyxhhZhGPNnb2xQbztMFE2+9NL8EYfYR2WnabO21QVgQ+nz/NmJE9Vdu/17e/wgFML6R90zjXn2mShleOHcJO+ttsVXVIKB7bNRH6AoEkEYM1nK4AcxU1ULQ1N4b7VFECSEUYLrh0xMm/zST5+913RHPND5hTJn50rsdRwkJAxN5vrdNnGcYHsBm3t9NurC0Xmhlk9F5X3H5/X36uL4An5wbZsz86URoYYkSSzPFGDmyYhCu7Y/4qTdHfgP3Z/f3uxw/U6LrKnx6StTH8m6ZsyYMU+H3//ObQB+9tMLH9iQasyjMVHK8Le/doH/9x+8w//ye2/zmeemT+UgzpjTyexkjoyp4gcx5byRJgxWixkxHAZHxASKInNl5ej+wXaEQzcI8USr4wD3r1UUc0aaCqAqMuWCQa1y/z1MztK5MBSFeL4Y1uwMfGRZ4lMXxbBnpWCy3RgQRWKQan+tc2e7x7/97i0GbshUKcPf+tqFEwm/94W0ra6HpsRISGzU++iqQm7oJF5vOcc6kr/+/i6rm2KP0un7lHJGKvA4jrylc/XcBI2Ow4/e2QXgU5dqj5SednC/a3sh7641R8QjB3ucYRRjuyHF3Cd3UAuOps4/ClEUp6l7cK8vEITCUE7XFaK+z427baarWSp5k1bPYbJi8f6dFpIkMVPNMl/L8f7dNuqwHpHN6hRyoueWxGAZCuWCwcAJiGPx3d6vAwCYukopb6TX78OzOpv1Pm/ebPD69V0UWSJv6TS6Dp+7OvPAgeYxY8Z8srFMLe05NLvuSArXB52ZefF8jRfPi2v3a++NXi/nJrNp7UWSYH4qz8psMV2TTJYzNLseuirjeCEFy6BgifP4j97dSWt9jY5LrWyNCPRurLd443odRZH57HPTzBxI67q0VOb9O228IMLQFC4+wNjVDyJurLfTemkYJTx/pkpn4JMxVIIw4ua6MBVlaPK9v0bKmOqI8eb6bp+3bjZSQeqf/XhjRMQRhjF/8e4Onb7H8nSRi8vjPtAnHdsVJlP7psiDAylbp4Ykoe8EIvkB6Duncw4vihOSRJRboyhB105fLWVtu4+iyGQtjSBJ2NwbsDJMiP+k8dT/ev/Nf/Pf8I/+0T/in/7Tf0o2m+V/+B/+BwB+7dd+jZ/92Z/la1/7Gr1ej2984xsoikIURfyn/+l/OpKu8ff+3t8jjmOCIOCXfumX+MY3vvG03s4RchkNJNIGxUniwzp9j426cJ0YOCF3t7sjj7cfXVjKGQSR2IgNnJCMqQ43ZuIkI0miAVgrWcTJAE2RubxcwTJVTF094gZxUr700hwvXJhEleWRwe4fv7vL7tAdb3WzS61sMV3NstuyMTRxAt8vtBx241MUmZcu1Gj3PTKGel8hhiRJx0a3K4r8wMLKmDGngSCMR5qZU2WLqWqWKIqZKGXu63oSxQmb9X4aP1vMGSxN54miGNcX/3Y/V5T984dpKA9shFaLGcIooTvwyGX09Hj7q19Y4d/9cBVJAtuJ+O6bmxRz+kjx5jCtnosXxlQKJp4fMVfLISHheOHI+z9usXfYkVI7ZijirVt73NnuEkQxjhPw1i2Dlw6o5Q1dSZN7FEVCU2QkSRpRp8uS9EykdOmaIhKVAnFePxzvOObZYbJkYuoKYZQwcHw0RWfghvQdn3PzZbIZDS+IKVh6GpuJRFpoP8x+82DgBqwP3XcdL8JxAz59ZZq8pR8RGR1cDzyOUPNJIEkSX//8Cu+uNoSTqCUG0ZIE2n3v2IGkOE7Y3Oun56vjCtYPK+QWcwaXlip0Bx55Sx95jDCMURSZxWlRJAmiUyhBH/OxIW/paQFPkkRM7z6aqjBRtJiv5bi22iRvaWwkCRlTwfUjoggaXZdyzqTT9xi4Pi9frBHFMd2BOPbPzZd4Z7VJb+Cn1+oHxfOOGTPm6bM8U8DQZPwgZHOvT6PjYegyr1/fY7JoMT2RpdXzGDgBkiQatKoqMVXOYmVU8lmdiVKG+VqOt28304hxSeJIYt2YMWOePtqBda0kSazMFpmZyCJL0olFD6ausjJTZKvRR1XkkRQLEG5qJ6HVdfH8iChOkCSV589U2WzYzFSskbrcwBtNvfvB29vUhu6e3/4Ll7/51XPp+eb8Qkkk4Ek80iCKpspMHVPXyxgq5xfK1Nuitpi3NHq2eD2SRDrkBQyH4Yc/SEeHvfZ5Z7XBxq6ou27WB7x1c49XLtaOve1J2TfcAdEw6Q18jBOIx7OWhtcRfztVkU9s3jHm9FErW8xOWmzvgWEoaKqCpsq4Q+MOy9SwTNFGAHHcZUyVi0tlgjBmaTpPu+8RhMkRgbYfRunwViGX4/kzVWwv5NarbeYmc+w2bVo9l7/1tfO0hqZKmioTxjHx0IxCUxRaXfcDp208iFxGH+2TPKTG1eq6fOcnm5BAHYcgivnq2B1+zJiPJTtNmx++sw3AL3xh5Sm/mk8m/9FXzvLvf3iHrb0Bv/XvrvN3/9pzT/sljfkEcZwZJPBAk7Xj9g8ZU6VcMOnbPoau3Pdx91mYymPqKn4YUS2Yj5QIYbsRz5+t4ngRmipjDIfXM4bK1bMT9J0Ay1BTocarb22y3bCJohjbCXjrVoNPX5460XMpigwSqKrM3GSWTt9DUWSqRfH+jPvUfu0DPdYwitlu2izPFh+Y/Nfpu/zb796GROxX//gv7vLLP3v+RK8TjvZsD3+meUtP+7OyLI1Fex8QRZHJmGr6mZqGQt/2ieIYJKgWTHw/YuD4TFezFLI6ui7z1s09HC9gZiLH27caRHF5pD/v+RG2E5LPaMQxeGFM5v/P3p/GSLam933g7+yx75H7VlVZ6626S3ff3tRiN9kku0lRIkVTgmjJMjyiZHisGWEwnywBFmzBGPCDIAzA+WLJskeAbLZFCqQkjqil2eLe2+3bfffaq3JfY48TZz/z4USezMilKjMrqzKz6v0BZGfeiIw4WRnnnPd9nv/z/6sKt2Yr0aCIHw6IqWVZ4saFEuv1HrIs7RkqqrUs7P5m3Q9CFFmK9iDPaKYgEAheHVKGOqDlyZ6gAYrZG6x7ZtNR0rjj+QwVU3s0F5qqxGuQoNkbeMzbUZMNwjDSP/WxHI/vfLDSH7zw+aMfLfGLX5mlbbp9k8wCf+7PXGCtbjJUTHFh7GDjXM8PBszEHddHVaMasa7K5NKRjqTbcylkjHiwo2f7TA0Ppm25XhAPcADY7mBd+Z1PVrk33wCiwdFM+tmTWgXnm6ShoigSvn/y5+OLwvMD6i0bPwyQgFrTIgxDtiuz5wMJCU2VCABVkejsNBQ+J2iaTDal4fshmiafutH2aXLqO6OLFy/yjW98Y89//5/+p/8p/rpSqfC7v/u7B77Gv/7X//pQ73X79u2jH+AzkknpXJ0q0mjbJBPqvk4Ie34maVDMGbQ6DrqmMFyO4tFrLYuEoWI7HkgSIZBNavzJ+8u0uw6phMqnrw0zNZJlrWYyMZRBUxUSCZU/+8YErufze9+fY2HVpZAzuH7ICUmvLwRP6Eq8sc/tugjbrk/LtGNHUIhSSJodmzCMmi6//+4CI6UUn7o2zHApxUZjk57tM1SMBOaqIg9MfAoErxqZlE4qocaFtZFKet9rRst0sG2Pcj6BLMs8Xm7y8cMatuNTKSb47I1REoYau3TuR8/2sGyPh8stPC9yuL86XXziAmu4lIo3JOv1HvNrbRRZwux5KFsCsRCWN7p0TPfAa14qoWE7PooskUlFDuLppEa1kKKYNaj3XTsvTxaAyJ10tW6iKjJvXx/mj95bwrZ9ZqcK+4o82qbLWr1HEIbIkhQLPLa4PFFgbrVNEIaMVzOxOPzSeD5OGZoZzR/o+H9SLK13WNk00TSZS+P5fd2t2l2HciGJ05+4Hy2/uCQpwdH4yluTvH8/EgMlDJXLE0VCCRw3oGu5qIpEKqFSzieRJAnTcilkjQPPudnxAv/p3XlqTQu1f650TIc7XYds2iCT0rg2XYoXsZbt8dHDGl4/seLaTOlQg6PPg1xa57OvjbJWM3m0vD2Imj7AwW1+bTtCu96yeO1iGUmS+PhRjZ7tMTOSZfwJkag9O3Ik3xnjvdkvmpTzSQxdIZ/RafaF87uvG2EYslozsR2fciF5av9uJ0UQRGtGSYocj573tUxwNMYqaVRFxrI9SvnEwLW/2bH55HEtcr2SJRRZwtCiwpqmRIPaUhhSzhncW2iwWjPxXJ90ykBV5Pjcf/NKlfFqBtPySCVVxiqimCYQnGW6loumKXzutVHuLbQwLQ/PD1ivd/m9H8xzeaLAykYXVZaQ5Ei87Xo+Xcshk9J4+/owxazBD26vkk1q1NsWhh7VBp7VWf4s4HoBK5tROtlIOXUkUYVAcBZ57VKFzabFRrNHJZ/k1myVVsdCkWXCMOQ7H6xQa1mMltO8frl6YNG6WkzGaV6bzR73F6NUz4ShHGjisJtOz40EG2FIJqWhzUuESMwtt/CDgGoxTRCETA1n+M77y3R6LoYuk9hh6GI7Pp4XoOvR9UaSpGMlgIVhiGl5ccNxJ4WsEb+m7Xh896NVzJ7LzUvlATOKi2N57i828f2QiaEM+gGD7btNbXYbzRyHlKFup2pIe9NMD+LiWJ6UoeL6AUPFlBCxvOR8/uYov/f9+X7iZFTT+t5HK/zgk3VSCZVrF4qxKcrFsRx3HtXZaJhsNntsNHrMrbYpZBK8frkSu1GGYcj7dzewHA9DV2mbDq/PVkn0P1eGrnBxPI/jBTRaNlZfQGBoKtdnSsyttNE0matTxefuup5L61yZLNLs2KQSGpoqs17vUcwZ+4oJm1170Oxll7BCIBC8PPzW798jDOGNy5UBp1rBi0NTFf7mz9/kf/xfvsNv/8F9fvKzU+JvITgTDNYE0k9cL5dyCcYqaVwvSRiGZDMGnh88cWihWkxiWi535xu4XsBYNc3IE/pw63UTVZEIQgjC7Z7HzvW/rimUduxFNho9ltY7tLoOqiJju8GAqHP/39tnpd8zGSmnmR7JsbjWIQhDKsVIN5LQVfIZIzav2s3lyQKL6x26PZeW6eB6AR/c3+C1i+V9ayuPl1vMr7VZWu/Ghpum7eF5Aaoqx2I3TZUP3PPdvFSh1uyx0bQYKiZ57UJ54PGp4SyGpuC4PtVi8sA9m2AvbdPhwWKTVschm9KYGM5SKSS5Nl2Kz5Fuz41TNDUtSumeHssxOZLF96P+giJHe27XC+iaLnpOiZNdGm2bdFLlwliOu3N1LMcjCEKGSyn8MGRupcXtuTquGzBSSTNSikTGpuXRNh0qxRTr9S635+qMlNMU+5+TdFKjnEuQNFQsx0PVZK70NQAQ9UWOoqUSCASvHglD5dpMic1GD0NX9tUIHYVW16HeskgaKpcm8syvtSMXe1Xh8mTh0MY05XySVtdheaNLOZ+gUqjyg9trOG5ANqUxVtleU3je3sGLb72zwFrdRNcUvvj6KJenilx+QgLHFklDJZvSaZtRLbKYM/iP331MrWVj6ApffmuctVqP1brJzGgWP4BWN6qp3J1v8PpsJb4HTwxnmR7Jcm+hSdKI0pl9P6DnRPqkrffY/rezxRDHK46uKVyfiYY3de3Zz8fTIOz/v63Bq3BHEvh5wtAVXK9/4Ir0RLPts8pbV4Z4/946my2L6ZHcobXsLyOnPsTxKnDUGMTxoTSXJgo4fSeua9Nl7i00qLdsOqbDWDVDMZegmEtwb6HBvfk6jhOgajL5TIJPXxtmeaOLLEuMV9PxRvz9extsNi16loffF/iV+idws2Mzt9pGAqZHc7Go1HI8Pn5YizZ1isTseIFMShtwxN5qFsuSTKPjUMjoZNM6o5UMC6ttPN/ngwebkat9CH/0w0XeuFzlwWITzw9wHI/XLlUO/e8ThiGPllu0ug7ZlM7MaO6VnsQSvDwossT1C2XaXQddk/dtnn5wf4P/+L05fD9kejTLL35llg/ub/LJ4xphCPNrCpcni4waBy+cF9c7LK51qLUsXD9guJgiCELW6709gvJIQGay3uihKjIXxvKoisTD5Ugg4gGqomBaFr4fkkmqNDt2PIji+yGjlcGC55WpAgt9oXunF0X6TY3kUGSJr31+hsX1DqmESrWYwvcDPn5UixOGijmDn/+xS0/8dyznEiiKROCFKIpEeVeyT8JQubLP5mfruvoiMC2Xhb7zp+cHPFpucWNXMXNpvRM/x9AVZi7mRKzsGaZlOnz2xjDmxTLLmyY9y0XXFKqFJLIk4fUjhoG+2OrJC+hkMnLUbxVdHi5HcZhdy2NmLCrIP1yK7oPlfIILY3k2WxaeH50n0flskkke7NDwJCzHQ1XkPc2NMIyuE14/HehpBfahUoqgH0WYTxsHnl9mb7thEYbRUMbd+Qb3FhoQwupml5/OGPumeOw8T6rFJBfG8nz7g+XYEeLqdJG3b4xwZapIq+v0h8cGX+fRUpN376zjegHFbIIf+9T4E5OJzjp35upxjGw9bzM7UTjdAxIMIEnSQDEjDEN6lsvcWof3723QNl00VSEIQzIpiaFiks2WRTKhUi0kyKUN7szV6ZoesiJxb6HBW1eq3LhYoZRN8O7ttVj4ODmc3XMPFggEZ4v1eo+HS026PZfF9Q7FjE6z02N5o4fr+aiNHoW0wdRIjtWaiSrL+IGPpkUN14lqBtuJzBp6dlQ/qBRSfO3z0y/NEN+duXos2my0bW7NHr52IBCcRXRV5ic/OxV//yfvLfFgMYq335nCuNm0CCEe1JwczrCyadKzPUq5xICorpxPkjTUuEF42H1jo2XhhyFBGLLRF1IbmkoYwg/vbnBhNDr3HM/n4kSOtXqPcj6BaXlY/WvOSDmNfsi1s+v5rNd7KIoc7ZP6+6MwDLk9V4+GIKRosKGYNSIBuqYMXM8+eljj8UoLQvjex6tUi6l4X5JJ6bxxufrU47gyXeLxcoue7aPrCtemn70xMDGURVFken3DjcOK4WVZiqPnBS83K5td/tMPFuj2XDaaPTQ1+rw8XmlHpk2ejxQSuxEXsgneulbhOx/6mLZHrWXR7rmMljxKeaNfn5NZXO9wey4SamVTOqOVdDzYr2sKS+tdFEWiWkjSNl2CMERVIuHd1ekikiQNpGgfhO8He87JtunQ6jpkktqhex9bQ1kLa20eLkVis+VNhdcuVvak54yU06QMFbMvcpw+QKAoEAjON5vNHv/u248B+Es/ceWUj+bV5u0bI7x9Y5jvfbTK//xb7/M//q0vvDT7SsH55ZPHtThloNGxufUEPYGuKdy8VKHRtni41GRhtc3KRpdrM9GwqucHPFxqYlqDe6qHS614qGJupY2qyKxsdgmByaFsPLDwe9+fY3Gtw2Y/vaxaTKInI+HaznVUEIQ4ro+uKWw0ezxaalHMJXi8GhnjlfIJZkaj997dc1EUmfW6ySePaxiagiLLNDs2Ny9VyKY0Pri/Gb/P1rDuQYxWMvzsFy/wwztryBIYuobjRoMYQ/sZXdVNdFWJzfb8IGBqOIeqyvh+wIcPNrH72pXxocy+As5ovzt94DHJsiTq1cfkwUKTetuK+2Gm7RGEIUPFFJPDWVzP593b6/HzPS/g7RsjwLbx1zufrDK30iaVVGn3nHgQvNmxqfV7jEOJJElD4+alSryvTSYU/uCHC6zXLcIwGlpqtCwUKTKv+9Y7C3hegGm76KoSJ4b+9Oen+4NGOVRFppxL4AchI5V0LDLs9NxoP9PXHwZB+MRBKoFA8OqSSWonYsRoWi63+9oqgInh6H5Zb0cDiKnEk81x1momK7Uuej+RY7NpoSoyza7D5YkCX7w1htmv32ZSOq4X9Hu+OjNjOR4tRQaY1UIyHsKzbI/3720c2pRPkiTyWY0HSw0MXcHQZTYaUfJqz/L4N3/8kMXVDq4f8B1N4dPXh8hnIp1GEEQJIVv1VEWSSBgqubSOokjomsz79zdw3EgjOlJOxYOluqo80XhT8OqQSmhMj55fY1RNVUinVLp2VIfNJPRzqTsOfB9pawBFCrGcJw+Kn0Xeu7fG3fkGnh/S6rqsbvQoZM/fMMpJcH4Vai8xmZTOVz89yd2FBuV8gkvjBb7/8SoQNW8dKaCcT6AoMqbtsdG0IIzc7z7U1slndKZHcnvcKBbX21iOjyRLdC2X1VqP2ckiQRByd74RR4/9wbuLXBjLcWEsEoq4XhANTixFxY6RSpqrU8VYBLm00YUwGlZ562qViWqasaEcElGDqmdHTqJb6R2dnstHD2uxQLTZdVhcaz8xDmwnqzWT9XrksG07PRKGIhyGBS8FW+fgk1wr//i9pbhI9mChydxKm3bXiTcZjhfQtQ6+MYdhyNJ6VOBRFZmNRo9yLoGqyOja9jVjtWbyYLFBq+Ow3uyRS+mMlNM8WGxyaSI/4ISXMBSmRrL07CixR9oRMdY2HUYZLLZoqsLEUIZ6yyZlRKkcS+sdJoezqKrM9Ggufq7t+vEAx0azx+JGB11TmBzKHriIKuUTfO61kciBPKFSyr+YwYz9qLesSBieSwxckz1/cIx3Z0ThFptNK/7advxICH+EgUDBi6XVtXmw2MJxo/jsNy5XyGcSA45KHdPdN8Lb9wMer7Tp2R6VQpLhUop21yGXNsilDaoFg1RCx7RdDE2lYzo02haFjEG9ZaOrnT0iod3utYchDKP1QKNtI8sSsxOFgevRo+VWfP9dq5vculR5qkBsv2Lr4nqHRttmvJqmkE1QzBmxi4OqyGRTOqs1M77OmJZHs+vsO8Sx2L+eQSSEHSok4gEOgNtzdd66MoSqygeeP3cXmvHg2VrdZL1uMjmc2/e5QRASwh5xyVnBcf14gAOimGrB2SUIQr7zwTIfPNjEdn16tovXj60NAijlDLIpjXxGJwwjcWC1mOTDB5tomozt+jheyMqmSUJvkr2s0zFdjHx0/i+ud0RTTCA442y2egRBwHt312l0bcq5BPW2EwksVRkJWGuY5DI6b12r8oc/XCSha4REhfqu5WI7PrWWTdJQabQt1usmX7w1Qi5zemvgkyIIwgHX7Z7t4XqBcKoXvDRYjhcPcADcW2gwMZRFliSCIOSHt9ewHB9VkRippBkuRff15Y0umZRGLhU1FyRJIpXQSB3xtPfDkEJ/jdw2nYF9/s7V7nq9R7Nro8oytabNa5dKBNE2nTcOOVjlByEf9RNEt95va9i403O3UyxCuLdQR1UUgiAkn9G5MlWMBYSPllvxcXbMSAx/1JpgLqXz5790kWbXIZ/WDz2E8iQiIx1RmxQczMePavh+yPxqG9sNmF9tM7/WppAxUGWZnuVxe67B1Gg+HvrWNZVUQiVpaKxsmLhuQF2zWa9byP1zYq3WI2mo9Oy++62f4ONHNdbqXS6M5hkqpmi1bfK56FyXpSjpc+ew/9PSezq9SODg+2GcCtrpuXzyuBafj5cnCwPGDd2eS6fnku0n8O5mZ83Lsn1My91jLJPQVb7+xQssrLVJJzVxjgkELym/+a17uF7AjQslXr8sBrZPm7/587d49/Y6P7yzzrc/WOYLt8ZO+5AErzC+H8QDHEBsUvmk2rymyv2eYvQczw9YrZlcGMuzsNah3rKB/p4qqVHMJWJzrC3uzNdR5ajucG+hwVtXh2i0LeaW26w1TFpdhyAImR7JoWvywIC96wV8/GgTy/bRNRmt3z8Zq2QIAsikNKaGs1QL0Xpvd89F1xSaHZuF1Q6GrjA1nMXs/967+4i+v7evuJt8xmByJMcH9zewnV6UjLaPyZ0kSehqZCrw+uUK640e12fKXByL+iRdy4v3chAN4JXzCZodh4SuiN7lC8APQnp9YV4QhiyudTBtlx97axJdlZHlyABiS2ug70hbaXZt/tM78yysd/ppmj6FrEG1mCJpyFiOh65GiRzppE69bfHF18cYq6bxvIAP7m+yuN6l3bXp9lwu9/VFqipz+3E9drFe3TQjk8ZCilrL4uNHNT5/cxRFlg5Md+rsqkV0TBfK+z5VIBAIToSO6Q447ndMl7FK5lD3MtNyubfQoGO6qIrERqO3bXoZQr1tDwxYbjZ7PFhsEoaRGeWX3hjn+kwJVZFpdx3m1x7R7Dj4fmSy82i5xdTwwTqoLXqWyx/+cAm3bwa0shENWQRBiCTBwlo7Tt7o2R5rNTMe4tA1mfSOYZiVzS4d06XUr+m888ka16ZLQLTWSOd0fupz0zQ7NmOV9L56DYHgvBGGIWOVDD3HQ0YaSM05T7RML9YvOW5At+s89WfOGn/47hJhGOmvXM/n3377IVcvlE77sE4FMcTxjARBSLMTiR0Puqk7rk/bjNzmdzctmh0bPwjJZ4y46GC7Po9WWsiSRL1ls5GJIsFsx2e4mOLxagvL9rkylaNruWSTOt2eE0eC1vpNkNmJAs2O3W96GhSzCRRZwu9vqrYatUEYxhu6Tx7XWN7ssrLZ5Vvfn+fCWB7b9cmmNHq2Ryqp4vshi+sdrvZv3Joi0+v/PrqqMFRKo/dFFa9dLLPZ7FFvWXT64ouZ0dye6a+Efnix6Zag+6DvBYKzju8HrNYjgfJQKYWqyAML+ImhzIHud/IO56MQUBSJqdEcpu3hBwHphB4vsHfiegGtrk1CV1EUGc8LyKV1PD8gk9L7cX7Rey6stvlP7y6wumliuz6lrAEhFLMGuiaT0FWqxWRUWJSiqfetxB/b8ehaLpIUichz6f2LMssbXRpti1RSQ5Ykmh173wKOoSnoWjRsUmtaZFIaq5uRG8xBwtThUgq7L2TOpfVTi2+bX22zvNF3FdzocvNSORa8Z1MahaxBo20jSTCxz987YSjxAIAkRa46EDXPbccjnzGeGAMteLH4QUi9beN6frTAdAOyaQ3TcmPB0UHCiPm1DhuN6E7a7bkkjSgGe2uwIJXUuXWpQkiUGuG4/kB0uOP5TBeje2uzY5PpD11B5NzQtVzSSe2p6RJt06XRjpoYvh9Fa0+P5qgUkn1hqB0/t9vzWNzoUMknD+0yC3Bvvs63P1gB4L17Ej/zhRlGyul4nVPIGuiawmg5TceMBtTSSY1CZv9/O1WR43WALEuoioKiSHEDQ1Vk1KcIPXcOvMiSNFDc3km9ZXF/sUkQRAlDBxWdwzDsn9vSE4fyngdbv+9W0Tx5jhNFXgUW1zvc6Q9Otbp2FHOrKWTTOqoCm02btunQNh2qhQTLm10mR6J0jdVaD1wfTdmKrw8ZKafQ1O11gibuEQLBmUeS4J3ba9xfbOAH0Ow4WLaHrkQpXh3TZXI4S6WQJGGoDBdTuG4HXVVw/YBsSqdSSGLaHh/c32S90SOT1PgP353nz33pwrlOloLo3p5JaVEDl8jpb2v94/sBjY6Nril7RJ8CwXlBluWBtWs1H+1dTStqBN6db8ZCnfmNDj/3xYvxzz5YbNJo22iq0h8gP/q68+pUkU8e1SOH1ZFy7Ky2VS+0+iIdQ1cwHAXfj9IuN2oW+f46995iM27swcFrYdsZFP3EQxuwZ19ba9lU4uRgh2bHiV8rl9bj4S5Fkcgmj3f+67pKtX+NDMOQRifa6xQyhnCcPkE6pkO9bZNKqOcyzv0kSfT3nV6wvVdNGSqKLFFrWazVTRRZ5k/eW+LHPz1JIWswXEqRzxi0uw6phIrUHxYaLqXw+2mfqiqRzxlIHQmCgAcLTSSpxXrDZHa8wHA5jabISDsEAE8b2tjN0noH3w8xbTcaFMkncLxgQGzV6NjxEEfbdPjkUeRqKUlwbaa0516dNNT4miDL0h4jip09k/2Ehi+CrfptGMJQMSWGSAWC58DSeod/+yePAPjln74q7sFngNFKml/88Vn+z/94h3/y2x/w1tWhc7+vFJxfFCUSGW6t/9NJ7VDmSrv3F1vfu54/8N+3+goTQ5m4P1vKJai3rVjcGQQhtuOxVjf5+HEN34+M9ELCgdeGSA9yb6FBs+OgyhJ3l1v4QYCiyEwMZbgwlmNyOMtYNUOin762c19kOz7Njk3S0OJ+ieeHFLJ6lDCeHOwrjg8ddsA1xHF8zH7v6aBL7ZWpIo+X2wRhyI0LlYE1o6Er2y6/RHuxDx9sxnvZmbEcQ8Un92K3epu5tPHC11Wn+d4nxVg1zcJam7bp0Om5BEFIsW3guAFf//w0iixzZarI/GobWZKY7qe9OK7PvfkG680ethMZSUVGbjI3L6XZaPSQd3yOoz5bpFsYKqZI6Arf/nCFdELDslwSukoyoTA+lGF2ssiH9zfin91Kj1lv9PCDgHrLYm6lxdTI/qZpEKUJ7vxsbX3uGm2bMAwpZA+/R38Z/s4CwVnAcX3W6iaqIjNUTJ1Ld/onkUlp+153DoPl+MyvtuM1RD6jU8ol6dkuhq7G6apbzK+24/dZr/cYLqXi+pgiRzXQtZqJ4/pUi0nWauYTB9+26FpuPMABoCoSbhCwuN4hk9KZqGb4oFUjCEIUVWJyOMeliTyuF1DqG/xukTAG6zG7fwdVkRkupQY0V1s1m0LGeOk+H4LDcd77c6oi0zbteJ/RsZxz+VkOw5CtOW8/CAjl87f+yaV1ljY6hIAMlE/RpPu0EZWXZyAMQ+7M1WPH4+FyiuldmxDL8fjoQS1ycZDgymQxbjzuFPimkxrXZ0rIskSrP2m5Ra1lcXWqyMJ6J3KrH8pi6CqrdZOp4SxTwxmW1rvomkKl79xgOz6Pl1uRkzXRh35mLEe769DuuZFjX0bHdn0MTYkF2ZsNi0wiKoj0bA9FkZC9qLCRSWmxg7iy48SfGc3xYKmJ6wYMl1MDYk5Di1Iy/tyXLjC/2kFVJMaHsvQslz/60RLdnsPF8QKjR3DNqxaSrDd6eF4Qx8ELBOeJO3ON2HV+s2Vx61KFx8vbC/iFtQ7VYjIejNjJj396gn//7cc4XsCV6SLj1SzVYgpFluj2XGYnC3uGOFzP54P7m9FmQoqGHFqdyOH3czdH9iQDzK+2IYx8ahQpmtiEyIll61y9MJZntJxGliWWN7us9iP0VFVGDcLIHUfa24QFeLjUZGm9y/KmSdJQmBjKkjRU5lZaUYxqOR1vDhRF5saFMu/f34ibtxANu+1H23SQYM+1+DSot3ckabg+XcuLN4GSJHF5stB3VZX3LSZdGMujKtEmcLiUIqGrrNXNOGLR0BVeu1gWgxxniGohgeeHNLs2SzWTdEpHVaMCRy6tHyissncNNtqOz1glzUqtS6sdRWVvuThcnS5xcTzgo4dRdLUsS7Ej7+RwdmBT3zEdPnlcJ+iLO25cKD1x4GLnxmSj0cNyosjvtbrJ67MV0kmNRtvG8XyW1rrIMqxsmgNrm6cxt9qOv/b9kPm1TpTGses69PpshYShYNk+k8MZ0geIs2YnCzxabhEEIVPDWQxD5UtvjPPOJ6tISHzmxvBTj+n12Qqu5+O4AUOlJJUDmg2PV1rx0OvyRpdqMblvE3MrzQSgUkg+MdL8pJFliWvTRRbXO0iSxMShGzmC06Bne6zXTWqtHis1E98PcHWVoVKSoN+g6FhR089yArIZgJCf+9JFvvW9eVZrJuVCktmJAtdmSlyaiNxv51fbyLJ06JS73bRNB0mSTiSWWCAQPIUwiqvOpnU2GhaBFeD6AaosY/Y80imNbFpHU2USmsKF8Ty6LmOaHuPDGX7iM9NMj2SZGM5yf6FBpZCglIuSwDbqPSaeUuw/D1ydKsZ1jaF+o8D3Az56WIsHnqdGsvumfwkEZx1dlfnCrVF+cHsdRYrWrourbdqmiySF3FvYTumQkWJXzSAMuD/Xwuy5yLKM7wf8+Gcmj/z+V6dLsfNstZjC7LmoikIqoVLIGiyudQjCkImhDHOrbVzXR1ZkzB0JOVENM4gNC+7M1Wn2hUjVYjJejxiaMjBsnEltrzOShsr0aI6VjS6qKpM0FHr29p5/5z7li7dG+f4na9i2x5XpEtkjitH3495CI3bkLeUTAwkFguNjWi4f94X8EO3/hk7JZOMs8Na1IbqWS71t0e1FDocj5TRvXa3yW79/D0PLku0PKa3VTQpZg1RC4yc+PckPbq/h+SGqIpFJ6eQzOqoSnReGplBvWpHr2g4ryWImQct0mBrJUS0m6VmRwcP0SO7IfwdZkthsRX0DgGRC5equwYrMjj17rbUtfAzDyBBhd0P34ng+Fj4Ml1LbzpUc3DN50dydb8R9n1rL4ubFshCYCwQnzD/5Vx/g+QGfujbEG5erp304gj5/6Scu83vfn2et3uM3f+8ef/Xr1077kASvMFeni6ztqgk8jWoxSddyI8OrpB6b5g2X0jQ7UYqGoSvxAGo5nySX1vH9kIShDqxFSrkE9xYarG2aUcqH45NP6+RSBumkxsX+fmdLD7LeMHm80oYwGvOYGMqS1BU0VeG1i4ODET3bIyTSm0iShKrKFI0EluMzMZTBtDxmRrfrHZIkcWWqSM/2UBVp3x7yftSbNpbroyhybBi0X68qldC4foDrraEpXOnXZzRV7vd0t3s99Zb1xCGOjUYvTqE0NIUbF8svTGS/Xu/xcOl03vskiYapkyQNhT/9cIXhYqTJqTUtTMsjk9LJpXVeuxjFWIRhSKsbmcVYtociSbRMm2bbQVGi2sKDxQaXJ4sYukI2oaFpCpVCkkbHjkxjpShxb7ySYXG9Q7WUopA1+NkvXoh7029dqdI2XZodiy/cGsULAu7MNagWEpTzSWot64lDHFvr/Z3D/w8Wm7HxXSF7uKHunZ8xXZN57WLlXP6dBYLTxg9CPn5Yi7U4nZ770tXJUgmNsWqGx8stin0DjcMiS9Ego+sBUnQN6zkubdPF8wOSuwYidtcydn6/UjMZKaVI6iqdnhObex6kg9pJPmOQS+txzSKb1ml2HEbKaRRFopAxKGZ1Oj2XYs7g6nSRpKGiKsEebVGlkOKNyxXuzjVIJFS+cHOERseh2bFJJ7U9CQU710lbaa3nUfwuOD4vQ3/Odn02GhY9Kzrf1uomnhc81Rz2rKFrCpoqExJpNc+jdPAvffUy/+9vvItpe1RyCX7hK7OnfUinhhjieAZsx49vihBtAncLhxttezuGM4SNZi8WOq43evHzuj0Xy/FIJTSSCTVST/ebHSlDJWGozE4UMC0Xq9/I9LyAnu2RTGgMlaNYwq2fqRaTA5vnVtdhZizH61eqNNo2qzWT5Y0uqzWTK1NFLozlqRZTrNZMmh07ei0pKggEISQTOm2zyw/vrJFNanz6+ghLGx1GSmkShsqNC0/ONdRUZUDEmEnpfP0LM0f5545JGCqvz1YwLY+koYoNmODMY/UXLwlDJQjCeIADovjfo6TJzE4WmRjK4voB6YRGEIS8d2+DtukwVs3sK9hsdhxapkOn66BpCrm0zq3Zg6PJCzkDFqPCSL1tMzOW5cbFMuPV7MDk9ZZTzORQFk2VsR2fMIwKJem+UHy90YsLoVtsNHpoauQ80+o6DJWiZvJmP0Vosxk1d7uWSy6lc3E8z40LZT56GLm6yLJEZZ/py51Fnf2G6l40KUOLr9eyLO1JHJIkac8k+05URd7z99yKVYboHtTuOnv+fQWnw1ApxXg1ExXBew6W5fJwqUm1mOKNy9UnDttUiyma3SgyWNdkClmd9+9vcPtxPYre7Czys1+8EA9gaKrMzYtlTNvrp9XsX6zf7As5IHKM2mxaTxziyCS1vsO/iRsEO4SSIablcWk8z1J/7TBaTUcDnf1z/rBDHIVsgqX1bvz9fslBEA0pDRVTOK5PIXvwZzybilJKAH54Z43vfrRCtZjiF7789MV9GIb0bI90UuNLb47jegGpxOHcvA7C9YKBxJKNZo8LY7kXKvRIJTQuT56OU6lgfzYaJj+8s4Esw6euDsWf6XxGJ5PSWd7skjJUPD9AlmWaHZtyIUE2pZHQFAIjJJmIzvO1momiKPxnX71CpZCg1rLQVYWZ0eieV8olDjyvDsO9+Ua0D4AnJs4IBIKTQZalKJlPlVHkqAHfsz2aXYdCzqBaSFJvWXQth5FiGsfxMTQNI6cyWs7w8cNNOqbD5akir12qsLjWAaJGQu4Fp0E9LxRF3pNS2OmbTmyx3uiduyKxQLDFzGiemdFo3/dgsUk2bZBNG7iuTz6r47kBkhQ5sFm2x2arRymb4NFSi2bXRkYiDMJjDXHIshSfO23T4e58I34sDOHSjiZtwlBjEdTSRof2VpMwFTUM26ZDQlfjAQ6I9glbe1pFkbk+U2K17yi3uwG409GtZ3vcm29guz5DxeSA0CmZ0Pizb44f+Xc9CN8P4gEOgFrTwh8Ln2lPIIhodR12zBT06z+v7hBHQlf50pvjJHSV1VqXqZEcty6V+fhRnaShstnsousy6YQ+8JlXFBlVkXntYjlep08OZ+nZHrqm0Om5cf1rcb3Nas3E0FXSCZWblyrcuFDiR3c3WN3s0jIdGm2HL39q/MA6wn5MjmT54MEGkiSRS+uosoyuKVyayNPqOmSSOtXitslSyhisO+xXh9iv5rXFxgE9kxfJluhti57l4fnBocWSAoHg6Xz7g2W+99EqiizxN3/+phiSOkMkDJW/8Rde41f/2ff5zW/d5atvT4r9luDUUPepCTwNSdrf3CaX1nl9toLt+lEi2o6ejaYq2I7Dt96Zx/V8ZicKDJWiNPQ/+uEiK7UuIVAqJpkZidLLb1wo0bM9XM+P9SCqLNHsRKnLmaTO9EiWTEpntJIeWONtNHo8WIqSFy3bY3ok109ZVlje6BCGMFJJ72uU96S+4oH01+USEse92uYzRjz80em5A1qWpx3TQG/T9Wl17ReW1LdzbWm7Pm3Teab6+WnR7Dioqkw+k6CYNuJEeUNXBszGPD/gwWKT7364wvJGl2xa6yf4yWSSOoEfMjWcw7Q9TMtjaiQ7MGSxWjOjAQ6AEDYbFl96c5yHS1GK8MXx/EC/U9dVfvKzU/H3rueTTRlxb/Iw6/hMKuqTQLQO32hu/80abRvXC9BUGcf145rCcCk1cA7v/Iw5bvBCP2MCwcuE7XgDQwQ7E6NeFjo9l8X1Tt+J32Vpo8v4IdcayYTWv4a6qP2E5fmVNrV2pG/abPYGdA0XxvLcX2jg+ZFJTrfn8smjGrIc1VekfhK55UR6BUniUCbWmqrw1beneLTcwtAUHNfj+5+sASFhKGHaHp99bZSe7ZFJaqw3etGQKfsPXtyarXJrdnuovpg7+Bh26lw75rPVbHw/YKVmEgRhvA4SnH1ehv5cEARsNq34eldr2k/5ibPJaCVNo23hB5BNaudy7aPrKn/xy5fp2i7FjEG355FNvRz97aMihjieAVWVYxc8YI9AF6KN08D3OzbbCV2h0xdvy7IUDyNkkhqzEwU2mz0SujqwYMimdCw7uilGU/IB2ZRONqUzXEqRSqjMThRJJzVWa2bkhr/1+v24szAkFhgGQchazSSX1jE0hS9/aoL37q2TTWlstizuLzTwg5AgCLi/0CSX1lneNPnOhytcnylh9jxmJwsn9C96eFRFPnL0u0BwGsyttFjpp1SMD2UYr2YG4n8ThoKqSFwYy3F/sUkQhv2hiIMXqAlDZWvp/6O769x5XAeiAkU2pcUCkC3CMIzTNQCKB6QBbHF9poznBazWenzuZjp27TgIWZYY6yd0NDt2XBBzXB/X9aPC5Y5CiqFH7vpJQ8XQFcaqWd6/tx4/vt4w6fXF6bWWRbovLL91qUKn58aDbTvx/GCgELdaM5kcyp7q1PfMWC4qKnk+w6X0kRrkB5HQlfizg7T3HiM4PYrZBDdnKzTaNhvNHrqq4HoBa3XzqUXxUi7BzYtlbMcnk4rctufXOvE5a9l+NCg6ur0BVhT5idGEra6zJx58v9SI3UwOZxkupSjlEvE5JcvRwJGiyEwOZ8mmdO7M1eOfOcrn8M3L0cBFo20xNZw9sCjyeKUdO2ytN3q8Plt54nXx9qM6H9zfjJ5f72FoyhOvXWEYbidmSHBpPP/UTc3MaJ57Cw2CMGS8mtn331PpR01vDfAaqiKa0K84nhfwe+8s4DjR+djoLPCLfQeBdFLnjcsVdE2Ohqs3u7h+iKGr5NMGN/rOZ52uje2F6JqM5QTkUirdnkvbdJAlCSSXbFp/amT907BdPxaGAaxsdsUQh0DwnJkYytLsRDG9siQxNZJlebNLrWXR7rr4QcDKpslIOcntuQZBEOJ4Pp4XRRVPj+QIw2jg8vOvjfAjYwPTcrkyWSR3DiOMD4uhKQNigf1EDQLBeWRnXVHTFH7+xy5xb66JoSsYhsKj5SiVcXGtS6NjE4QhoRRi7kr2Ow7dHekaW993TAc/CMml9YFB0ZZp86jvZJpKqPHwx9Y1amudvHufkDTUePD0SSQN9YnGEyfJlphlKyFE6w/VCZ6dTEofuFbvTF95VfnT95fjgcvbc3VyaR3XC5gazhEE0fDQG1cqDJciQwNFllAUmYSu4noB1ULkKn37cR1VicQCW4MyjudjOT7j1Qz1js1wKcWtS2U6PY9W16He7wXUWj3mV9sDQ1pPw9AUrs+U4iEtSYqc3rIpfd99dLWYxA8CWl2HXFqncsQUbUNXYsObnT2TF4kkRUKKjunGxySScAWCk6PZsfn//IsfAfALX77ExJCoPZw1/szrY7w+W+G9exv8r//mQ/67//Kzp31IAsGJoD/BFOv3f7AQr5k2mxZ/8SuzSMBmowdITA1l6PRcZsZyvHl5iA8f1FivR8kUWzXUZtch8AOq+RSeH1Bv20wO5/a4fK9sduN01nRCo5xPxALIJ6UWHIdqMYlp53DdqC+bOYF60ZO0LPuRMBTa5o7vD9GrOil2v/d5rSFlU1q8Hv/09SEcNyQk5M3LVVRVJghCPD9geaPDwlqbDx5sEASRYYNpuVydLlHOJUjoCtm0TiFrcP1Cac/nzfcDuj2XVEJFkiQMPXJ4vjK1f0rLbjRV4ep0kdVNE7Vv6HgUJEnCUJVYVKkq0R49CEI+flTD7vdZWqbDtentY9rzd36BnzGB4GXC6Lu6u/sk6b4smD03rlXB3prokzC06Bq3VjfRVYW1usnDfr222XF4tNzi0sS20eKWGWXQT9169/bajsRamy+9McaDxSZXpotcmiiQS+kDg5Gm5eK4AdmUNjC4BlEKyJYWYr1u0jGjvrGmyrxxpUo2qcfDl82ug9b/+Y7p0um5x9Zb7tW5Hv++ujMBtd62uHWpInQV54Dd/bn9tNJnHUmSyKY1tn6J/DnWH8uKjCxHfxLjHJrgd0wnHuDtWR5Xpl9ds1qxen0GVEXm6nSRxfVOvIj55HGNiWom3gAXswmmRrLUWzap5OAm9tJEgbmVFr4fMlpJD9zcDnLRnR7JxY2MaiEZDWHUe4QhKLLM1HCOdDJaSF2eKDC32o7Fhls3dX3XSatpMksbHRZWOyARuUsUUyxtdHi80mJl3eS+1aTZsdE1GT8I6dnRQmanI9VBnMfIIYHgJPD8IB7gAFhc7zBaTnN1uhhHzI2UU0iSRDGX4NNZgzDcG6v3JFpdGz8IIkd8GHC93EZiuJii1XXQNYXUITZbt2ar3Dr0UWyTzxhMj+Z4vNSi0bFRVJkPH2xy48J2PO2VySKPV1rMrbbRVZn37q4jAUsbHYIgRFPlgevUlhha1xRKmhK52JgOxWwifk1ZklAUCd+PFlmqIp96bJ+qyEwfQqByFKZHI0d/2/EZKiVfuBOh4MnkUjphGDI9kqNtuoRhSKWQ3FkHOJBUQhv4exazBs1+w0BRJArZw28cHi41Wa/3CMMQPwgpZhPkMpEzZhCEzK+1MXsexZwxMBUfhiH3F5rUWhaSFKXxGLpCtZAcaGwUssb22ibx9AL9TmRZ5lNXh576vPaO9cVWEkg+c/AGsGUOTsfvTDzaj67lbSdmhLCw1nnqEEcha/Dpa0NPvE7LssTV6SLza23kvmPyWcHzAmQ5+hsIXhyO58UDHBAV3IIgStyIml1FcmmDTx7VaJkuOTk6/wvZBK9frlItpvjR3XW6PRfH8QjDENfzub/YiAXfiiyzuNZ55iEOVZYGBtR14XhyaBwv2LPHEggOQ9JQ+cz1Yd66OoTteKw3ekwOZ2mZNp88rLOw1sJxfdYbVnxv3Bpm7jk+jhuQTmpRY1OS+PzN0dP8dV4YW0mla7VILHHSAgeB4LQYKafx/IBuzyOf1RkupankUyiyxDufrMXPUxUJQ1PwggBZgtIJJO/k0jqSRNxI7FouHz2sAdE6+MpUVDwPgpCl9Q5BGO0fHi23GKtkomG0vhtmSLRHnzpDa+GDkCSJa9PFyPgCTmT9HgQBQcArXwvNJDWuThVptG2SCfWZ16ovAx3TwXI8/CAkoStY/X2CrilcmSoxXEoxPZqLk2ZlWWJ2osCliTyPl1s8XGrSsz2W1ruUcgkqhSSZpIamydTbNqPlNKmExhSR0EKWZVIJdWAwKZ3U8IPDVCkGuTie5/FKG88LGC6nnip+Gymnj+3CNztR4PEBPZMtmh2b5Y0uqiIzNZI9EeOU3VyZiuq3YRgyUk4LIcErgh88PY0pCEKkfoq94OiEYciv/Ysf9ofSs/znX7t22ock2AdJkvibv3CL//s//BZ/8t4ynzyuDYhlBYKXsdbc3iHi9P2QnhW5Yo8PZWm0LUr5BOVcgs/dHGWz0eP9++u0uk7Uj1QkLo7lqbV6OF5AiIumylwcy+9rNqVrCqa1PYz/PIdWx4eyBGEkiirlE7Gg81k5SiL01t7Qsn2qxWSsZXlWVja7sQbnIGO/5/XeL5rZiQLLm138IGS4lBoYhHFcPx5waHQsAj/AD0IkJIIwwPWDWBRcKSS5NlNC15Q40Q9grW5y+1GdesdCU2Qsx+f6THGg/2dakfA3k9Se2J/eMqA9Llf6e/Qt40tZlrBdPx7ggMEeIgz+nbf2SQKB4OjESbp1E1WRz527/mHIpvWBXmjhiPfFnclUtZZFLq1jOz6aKu+pX9T6xtlhCMWcMZBY6wfhQELzbjabPe4vNiGMBtVuXCjvMZfYWo+FRPeJVtfG0FXGyhnSSTWuMbe6znaqihSZUm72RdOlXGLP3nZpo0Oz7ZBOqkwOZwce36tzPf4aprVDz2HZPq4XPJf6juBkeRn6c4amcnGswN35OkgSF8bz57KWb7k+uiJH/RhFYr3ZY3z4fP09UgmNpKHS6jhUS8lX2kRHDHE8I9mUzrXpEu/f28DsxwXd7tV588pQXOw9qGlhaAqXJ482QbTT8X6L6xfKtLo26YRGPmNgWlHklyJLzIzm9tzkirkEY9U09VbURBstpfjh3Y3owRDmVtvIwMJqh1bbptm1GaumaXVlFEkilGGoGP0+0WTawfzRDxd5tNxC1xV+/FMTVEXDTvAKIUuDYkilL2qQ2V/YK0kSR+n9OF7AwmqHDx/WMFSZy5MFpkf2vm4mpVHIbm8mnpbE8awMl1I02hZb8QO24zO30iIIw9iRZaScjgdOomE0k3QiaiRnkpHj/9ZAx9AOh5p44AxY1rq8dqkcD2xcntwWXpz08MRZQVVkLo7vv5ETnC5mX+QUBCGuH1DIGqQTGiPl1LEWmp+9MYKhRckrlyYK5DOHK4YHQRjHBkuSRLtrU84l4mNYXO+w2h8ua5sOhq5Q7Md6tk03duEPQ3C9IBZr7eZZBBmHIZvW4xhGRZFIJZ68ZJ0ZzXFvoYHvR430/a6FO1F3FfMP+zc6zHU6ndTOXFPzB7fX+OjhJoos8cVbYy/tNfIskkpEA1Rb5+XkUGaguVktJqkWowEiz/eZW2lj2R6lfBSJXm/Z8dp/rd6j3uqx0bRomw7ZlIYkSUyOZEmewIZWUaK1xPxqG7m/jxA8Gc8L+Ob351iv98ikNH7i7amXOv1A8PxQZIlUQmN6RONP3lvij99bQpLAdqNEu60C9lAxSRBCPqNTyacYLiVptG1M+/BuUS8LRxELCATnBVmW4qZHGIZ89LAWu8EZ+rbDVVJXmR7dTvIZqTz7ujyViNzbGh2blKFxb6ERP9Zo29iuj6EpSBIsrXdjMxvXDxirhGwVAIZLaQonMFRyEJ4fsLgWmekMlVInktKbSmhcPaH1+735Ot/5cIUQeONylVuXXkyiyFllZ2NbEPURtoaj0gmVSxN56i2bRjsySJgYztLpuXEqZhBEybq3ZitMDmept21k2aZtujQ6NpVCElWVUZVoQNxx/YH3gmiv+9kbw4SEeF5APmMcay+vqQqzR0jveBb0p/RMHNfnzlw9Fj94fsC1mZPfg6uKfKaMGQTPF8vxuP24ju34FLIGsxOFfYWgK5vdqH8mSVwcz4v16DH45vfm+PYHK6iKxP/zr35aiHTOMDOjOX7iM5N883vz/G//5iP+X//XPyOGlwTAy1trnhnNca+fMljMGuQzOrIsU8obbDR6SEEkVoRIdLi41omHYxdW23zx1hgXxvIsrXexXR9dVUgY+1/jZkZzPAybOF7AcDH1XA3blDNQ51UUmQtjJ9vbrLct5lainnDbdFBkad9kp+fx3qeBosgHJletbHa3BxxC+OHdDUzLI/BDpkezTA3nqRSSKLLESDnFjQuDg0Vt0+HRUovF9Q6eH5DPGgwXk1SLqXg91Om5fPxwkzCMkvmuzZSeaVBjN47rs7genVNjlfSe3qSmyBi6Ev+e2V21gJfl7ywQnAUShjow5PWykTRUblwo0ejYJA011kkch5nRHJ88rkVGs1KkUVpYa9OzPUq5BPOr7bh2UW/Z5NIarW5U632aSeZqzYyTDizbp9V1Bvaf3/toJUpqVWVuXixTyBpxTTZhKAPC+nLe5+FSE9cLGCmlWVzvxGaXm1lr4Jq72ezFeqy26aCq8oBG9Tg614PIpfTYODxhKKeSxCo4Hue9PxcClycL6JoMSMyM5Qj7iTnnCUOVCPpfh0F4aE3ZWaJrufzwzjq26zO/rvH29eHTPqRTQwxxnBCWs+2W4PtRXKEiv5jiYyapxdPkfhDyyeM6bdNBBkzL29fhYWIoG2/0/L5z0NbiQZYkDE0maaj0EhqjlTQzI3luXSyj6ypj1Uzsej9SOrjps7je4VE/OsxxfL7/8Ro/88WZE/3dBYKzjCxLXBrPR0UkiRMvkt1+tBlNVY/n6dk+Y9UMhX02GUlD5fpMiVrLImG8GPfDnc0X2/GYX+uQMlTAJgjDPQs63w9JZNT+4IbCtekikiSR0JWBaMDNprX9uq5Pt+fGgoBcWt/3eicQvAgabTse2CrnkuQyOtMjuYHIy6Ogawpv3xjZ8997tofvR67b+20iZFlCVWU8L6DZsam1LApZg2bXQVWkOIJ4i53ONbub06e5R5keyZLQFRw3cs15WhRntZjiZ74ww+pmj0ox8dRUjYShMjWSjZw7VZkLYy9vMarZsfnowSYQXWvf+Xj1pWmsnRe++pkpHq00UWR5z4CRH4SYlovn+4BEJqkTAJoSfeZ1TY4TqSQp5OJYngdLTTJJDV1XCIIQReLEBvyE0O5o3JmvxwM6HdPlvTvrfOnN8VM+KsF5pt6yePf2Go7royoyzY7DaCVNGIbYbsCnrlZodb2+a16RO4/r2G5ALmVwf6HBzVdcLCwQvExYjh8PcACkEio/9dlpmh2bYtbgwWITx/WRZZlc5vDCia21h64pe5z0d6YDaqoc7xVkWYqHoMMQhoop1urRYPhYNcPsZIGu5ZFL6891gAOi1MF6K2oyNjo2r89WzpT483sfr8b11R/dXefyZGHAIVXwalMpJHl9toLl+FTySVwvYHI4OzAosFszHg11+vT6vYdc2sByfBzXj90etxrvsiRRLSZIJXSGitt74mRC48fenMByPDT1/DfFHS8YcK/c2ZcRCI7L4lonvu812jabTSs2XNjC9YJYLBqEIQ+XmudatHAarNZM/uff+gCAv/r160JseQ74q1+7zh++u8iHDzb5/ser+9arBa8Wu2vN3/945aWpNX/+5igj5RSeFzA1mkeWZfwgpGf7lHIGkizFQkNdlUknNDqWiypHX0NUW70wnqfbc0nsMNDaja4pJzZIvh+uF2A5HklDfWndbHf2toA45e5VZGevcHkzMk28caGE4/jcnC3zxuwQi+sdVFXm0j59hK1/S1WJehGu6yNJgwkx9ZYVr8HDMHKXP8khjrvzjbgG0uo4vHGlOpCOJstSlA5QM1H6KaACgUBwXHbWQJ+FYi7Bz37xAisbJuWCQc/2WVrvAtHQRhAGyNL2tXRmLE8QhMiy9NR6oa4puJ6F50dprjvrn422xe3HdSAym7sz3+DTV4fYbFmkDHXP0J+hKbEBpe8HPFxq7ngteyCRcvf9dff3J8nlyQIrNZMgCBkpp86dgF5wfpGIBkIv9Q1rnudA9fNkfChHu+vhBQHlXJKEfnb6JIfl/nwDTZWjlEdJ4u5Cg+GXMAXqMIgu0glRLaZYq0UNzFxGRz+lZojrRY73HTPa5Jj2/kMcO1FkiQtjeR4tt5AkuDCWp206TA5nmRjKsN7oMVxKMVRKMbUrKutJhLui2UPCA54pELy8FHMJis+5mbO1yUg/YWGRSelkXqAz9ORwFj8IsWyPbFqj3d0Wn/Qsj+yIznA5um7qmsJQMRnFAUIcZ7vftSZpqPT6EcOSxB7RiUBwWuwe1sinjWMPcBzEWs2MhyNzGZ2rU8V9z5MrU8VoLdBzGKum4+eYlkcln4zSNsKoILtTZJVJRoObK5tddFU5VXcmSZKO7A5ayCb2HWQ7iOedJnJWCEOxHjttVFVmdmKvK4nvB3z0qEbP8nBcP7pnZnSK2QQJXcX1A2YnCjzqx9KODw2xvNElk9QxbY+xSppUQjtz4kWBQHB85tfaNNo2za5DQlcoZAxyKZ1s2iCTVJkeKZBJaUyN5PD8gJUNM/7ZrQQrgUDwcqCrMooiRU5uQEJXGS6lYqGC4wUsrXfQVJkLh1y3+37ARw9r9GwPSYLLk8UDhy4uTxaYW2njByETQ5nYXEGWoxSwdN9MppgzqBRSvKgRMtPavtYFQYjl+Gd3HSSW3YJdJA01NhyQpChVZzephMZYNc3yRhdNlSnkErx3d50wjPZ2yYTG7GQhNo1455PV+GdVRWaknNm3FiH3U79eBlKGSjqpxSIvkfwtOAnEJfv54wch/+j/+AE92+PGhRJ/8Suzp31IgkNQLSb583/2Ir/5rXv8f3/nIz51bXhAVCt49dhda37ZmBkdFLh7foDnBRj9ddtW7aWUTzI7VaDRttFUOXakrhZTNDtRXSeT1Bh7isv286Bne3z8sIbnB6iqzI2ZEokT7lWdBQpZg6X1bmSAJEHlKcZeLzOjlTQd06Xdc5DlSB8EkQaonI80PkNPGHrIZ3Q0VWa0kmKtHumCZicKA3vt3XuM/fYyz8LOuqbnB7iej7LrPXRNEUl5AoHgzLHTHO/OXH3gsaFSmmbbxvMDxocyRzJ6yaV1PnywieP6jJTTA9fhPcuxIGR6NHeowVpFkdE1GceNDAQNTRlY3xdzCZY3u/h+ZAb+NOPMZ0FR5KcmkggEzwNZltBUmTtzHSQJbs1WzuUQ0cxYDsv2CYKAYj5B8hzWflU1SluDLYPTM9rreQG8fDu2U2JmNEcxaxAEIfmMcaont+cF8dc928NyvKcuBiqFJJXC9s23kDGQiFwLZicLx7oxTwxnmRzOML/aQVcVPnV16MivIRAIDubqVJG5lTb1tk0mpXFr9uiyCdcLUGRp33j4Z0FVZGb7U6uO6/PB/U08PyAMQ7KpaOEwPZKLoxh/8Mka40MZgiAkndSwHH/fpvPMaA5VkXFcn6Fi6qUsPArOJ8VcgunRHM2OTTqpMVI+eRHB8kY3/rrVcehaXpzEtZNMUuPGhTLj1Qy3H/eL9YpMMWuQSencvFimZ3tkU/qeRfBuF9DT4Hldl15VCtkEV6eL3H5cR1EkPv0KRxCeNRodOx5M1DWF8aEs6WR0X0snNXRVRpKk2B0FoJxLMDmcod62kfvDTkfdzAZBiB+E596B9ywwO1nk8XKbzWaPVPJ4azGBYIsgCDEtj/FqFj9o4fo+P/nZaW5cKBMS7dF33htlSSad1GibDkEQPrEZKxAIzh+KInN1usTSegdFlvas0cermSM3uRodm57t4fkBsiyxUuseOMSRSmhcm9nfGfbSeJ5CP/3jeTby9qOUS8T7IkNTSCfOVk3g09eG+d5HK4TArUsVkcIhGGBmNIfSr2lVi8kDa1o7E7Q/fliLm/OSJDExlBlw/i/lEnEyXCqhHsvs5LB78LOyj5BliWszJZodG1WRyaVfnGmN4OVlopqhYzo4bkAuo1PO7zUJ0VSZieEMC6tRk/80zU/OI//6D+/z4YNNkobC/+OXPyUGAc4Rv/QTl/l3337M45U23/r+PD/52anTPiTBKbK71vypay93rVlX5YHh0Vxaxw9CkobKZ64Ps17vYWgKw6VUlJgsS881YeMwrNXNONnZ8wLWG71T7/k8DxK6ys1LZdqmQ9JQX5qB5eOgKjLXL0Sfu4Shstmcx3Y8UgltQP9zEJqqcPNSmVrL4vXZKtm0juv5hGEYa54qhSSeH9DqOmRS2onXIYtZg82mBUS9EWHiKBAI9uOsawhKuUSclqooEmPlNBePmT642bAY3WFG2ezY5NM6IZEu5fJkgbvzjWP1/q9Ol1hc6wAwMTRYX04aKjcvVeiYDqmEduKmpQLBWcD3Axw34PJkAYi01VspOeeJGzNlVEnG8X1GSmmy+2jHzjpffmuCWtOibTqMVjK8eeXV1ZaLq+0JsjVd+SIIgpCFtTam7VHKJuKNkqrITA5naXUd1uom9xca/MY37zI9muX6TJl8xjhUo0WWJaZGnr0I/eVPTeI4HqoqI8tCKCYQnCS6rvLnvnTxUINauwnDkHsLDeotG0WRuDpVPFZSx8pml0bHJp3QGKukaXQiUWkhuz3MpmsKr10qs7rZZW6lzeJ6l2bX4ep0KW7WaOp23LAkgarsvzhSFVk0yARnljAMCcKQIHg+blSqKmO7/cjKJ5wnWyQNFcvx2WiYDJfSsUDkpCJCnwf3FhrUmhaKInFlqniiccyvMm/fGOGN2QqyLKMK4f6ZQVMHGxH5tE7LtAkCmBzaP/2u1rJomQ65lH4oJ7e26WA7ft9NS8G0XG4/ruN6kTDlymTx3BUkzhK6KvMzX5w51lpMINhN23R4tNxCVSVuzpYZr2R4+8ZIfI5ajkejbVNrWciyxHAxxfRIlu99vIrfd6g7j0VGgUBwMJmkxpWpvWlex0WRJR6vtKi3LHRd5e3rBxfELcdjYbVDEIaMVTMDw+Nr9R6PV6KEQM8PX2i63eRwlkxSw/ECSrlEnBByVrgyVeTiWJ4ATi2lWXB2UY5R09qq43ctF98P2LrNb/UGLMcjn9Yp5hKU84kjrwMOuwdvdmzuzjcIgpBqMcmFY4oQTgpFlgaGWQSCZyVhqLxxuYofhKhPuLeMVTIMl9JIINbdR2B+tc0/+/99DMDf+As3X4lk3JeJTErnL331Cv/rv/mQ//3ff8KXPzVx6gN9gtPl7RsjvHFlCBle+lqzJEXDo5vNHotrHeZWWixvdHnjcpViLkE+bXB3vs579zZQVZlr08VT773sPj+3vvf9gPm1DpbjUS0kX/hA/vNA15SX4vc4SYoZgy/eGsXxfHRVIfUU8a3rBXz4YIOHi02yaZ1CNoEiS7hegKbKXJspxQLe55luf3E8TyFr4Ach5VziXLphCwSC50cYhtydb9BoR2YOV6aL+xpdnjaVQhJdU+jZUa3mWQxpd9/Pmx2H+wsNwhDGhzJ87uYob12p7tv7D8OQhbUOXculkDH2XLuThspsX7wOUQLSVrpYPmNgaAqGuL8KXmIkKRoG29J1qbJ8Lms8nhfw/Y9XsVyPz1yv8tY5NNcv5hL8X/7CTaG1QAxxnFuWNjqsbJpA5MZt6Ar5jBEtWKaKLKx1+ORRnWIuQbfn8ifvLRMEURzizUuVJxaiTxpdV+nZHssbbWRZYrya3iNaEwgEx+c4N7Jmx6HeiqbAfT9kfrUTu3QclnrLYm6lDUTXoUcrLYz+uV3OJ7jUT+KAyCHT9YLYLbxjumw2ewwVowG0qZEs73y8iuP53LpUEdcIwbmjtut8UBSJscrx4x/9IGRpvYPdT53JpXUujed5sNTE8wPGKk+P3Ly/2GButQ0hPFpuM1xKD2zIzxrNjk2t77QTXZfa3LhQPuWjennQX/FNz1kkl9aZGMqw3uiR0BXqbZtsKhoKX9roMlxODxTp1momC31nlFbHQVVlhoop1us9ml2bTFIbKMSt1U0eLUUCS12Tee1ihcX1Dm4/ta/Vcai3LdHoOgFe9aKC4GSYW20zWk6zVjPxvZCJoSxLGx0sxyeT1Fhc77Cw2qHdcxirZGh3HVKGGg9Ct7uuOKcFgnPCWs2MhzJfZIqO7QbUWzZt00W1PVod58Dn3p1vxIlhbdPhzStDKP3GxuOVFvTn1udW21SLqRfqpl0848Ltl13IJjgabdNhtWZiaApj1cyRz5Xp0Wg9sFYzyWcMFtY65NIGi+vbvQGAkUr6yENNra4zsAefW2nz2sX99+Bzq+24sble71Etps6kYEIgeBYkSXqqYQogEiSOiO8H/KP/4we4XsCnrw3x05+bPu1DEhyDn/vSBX77D+6xXu/xze/N8fUvzJz2IQlOmbM+sLzR6NHo7K2XHgdFlsgkNe4tNLCdyGTLcX1++vMz1NsWzf6+yvMCFtY6JzqIfxxGSmks26dtOuTSOsP9PefcajtOcGt1HRK6Slqs506dtumwVjPRVJnxauaZjQrGqhls16fbcylkjacmcXzvoxU+fLBJrWWhqtFgt+9FZg6uF7C03hno9z8vJEkSNU2BQHAgjY4dJ1x4fsDCavvABOHTJpfWTyQxdGokix8EWE6kFVlc78RJrYtrHYaKyQN7/8ub3TjJuNVxMDTlwHqq7wd8+GAzXuNMDmcZrWyvncIwZHmji2l7lHOJM1+XFQgOQ2Rsn+WHd9YB+NS18zf8APBbf3CfzVZU2/3jH63w+qUhJk/AsP80EFoLMcRxbrFsf+D7nu3FSSDF/o3z48c1HMen2Y6KB5IEjhvQ7jrxjXWz2ePufIOErnDzYuW5NBqDIOSTR7VYMNbtuQc2hAQCwfNheaPDo6UWuYzB9Zkiuw0spGOc+j3Hi7/2/IBaczvSb7NlcXFHzCrsdSeT2P5+eaMbJ4Gs1nqMlI/efBYIThPL9ga+39roHpe5lVZcUK+3LG5dqpAw1CMNNbQ6TiyuCsOQZtd+pmN6XgRBwIcPa6zXTFw/oJiN1ig7rxECwcvKWDUTJ2r86ftL3FloEAYh06O5PffqnfddiK4z9ZbFw6UmALWmhSxJsRh0s2HFz3XcgFbXFg5WAsEZRpYkkobKdN+hu206tLrRXv7eQoO0odLsWCxtdGl1HN66UsVVgtM8ZIFAcAw2Gj0eLUdDlrWmheV4rNRMJODWbOW5Fqs7pkMqoZJKRO/R6bkHPnfn/sb3Q1zPR9FVJAkk4m0GUv//BALBXmzX5/bjOut1k/V6j7Fqmp/87NHEy5qqkE3pJMai89a0PEzbw9q1N7Acn6NmY+zeGshP2CvsfkRo2AUCwWH5zW/d4+58g3RS4//2l98UdYlziq4p/Gc/cZl//Fsf8H9+8w5ffXtKpHEIziz1tsWDxe16qSRJ8SDDcbEdf6Dn0zKjvZQsSdRaPdZqPZIJlXym8kzvcxLIssTF8b0rwwFtSRilL4ohjtPF6e8XtoalHS9g9hkHJhRZ2vc1giDg40d1Wh2bC+P5eLhprb49GO55IZbtD1zfxX1bIBCcBXbXK16FS5OuKVyd3h5UWdrobD8oxf9vX/boSR2Pg0ZMOz2X9brJ0kYXQ1PQVXlgiGNxvcPSejQQUmtZ3JgpxbougeC8EoYhy+tdCn2d9fJ6l8o5HCbtmNsmXZ4f0jYPNu06y3z8aJNGy2ZiOMvkcPa0D+fUEBWWc0o5n4jvyYoiUcgae57z2RvDqKqMrslcGMtFjWAJDD1yuDcth//w3TnuzTf44P4m3/5g+bkcq+sH8QBH9L4HN4kFAsHJs9ns8Xvfn+f+YpN3b6/xw7sb5DMG1WISpMide+oYN8JiNhEPZiiyNDB1bWjKnsLOWDUTR64WskZ0HevT3XFd8PwA2302AbxA8KIpZI34fJAkKD2jC0F3h6AqDPeKtw/D+NB2WkfSUJkYOn4yyPPknU/W+NGddZY2utxbaNDtOWiqzNTIq7tAF7yaLK13WV7vsrzZ5eHytsP1FlGMePS13L/vdnetq3d+nzB2pFpJkYPBxFAm/u+lXOKZr1UCgeDkmB7JRqYKEgNFcgBdken0XOZWO9RaNmt1k3sLDS5PFcQ5LRCcM3beq4Mw4Jvfn+PO4zq3H9f55nfnnut7DxWTZFORSOdp6+2dbp3ZlI7RT9WUpEgQJMtR5PjMaP5cRo0LBC8Cy/aotyzeu7/B8maX9+5t8KO760d+na1aGkT7AEOTo8bijt5APnP0Bno21Xdmlp5+TZgZzQ2sU1IJIfgTCARPZ2Wzy6//h9sA/Nd/8ZZw2D7nfO3zM5RyRpzGIRCcVUzL2/X9s+sSMik96qkSrcem++smPwi4O99gebPL3EqbevtsGmkBlAvbNSNNlU/EJVzwbPRsLx7ggOerofnB7TXevb3G/cUm3/zeHPW+a3O1kCKhKyQNFVWRmBzKxMkbSUNl/Iz2FQUCwavFbm3TqyjyvTgW1WAlCaZHck8cqN6pJ5VlKTbQ3A/X8/nR3Q2WN7o8Wm5xd6Ex8PjAuioE0z66ZkUgOGv4QTigSdy9JjsvvHm5iqJE14WRSooL44XTPqQj8/79Dd75OFqj/v67C6xsdk/7kE4NkcRxCnRMh4W1DkgwNZw9VtOjmEvw2oUyPdsjm95upu5kZjTPzGge1/VYWO9iu1HM1tb71dsO3o7hirVG7/i/1BPQVZl0UosFqU9aIAgEgpNno27F0XoA631XjQtjeWZGc8dy0Wh2bJbWuxiaTDGboJRPEIbRJLYkweTQ3o2ToSncmq0Q7krogEh0tpU6kDRUEZUlOHekEho3L5Vpd13SSfXAe3sQhMyttun2XIpZI3bg300pl8C0IkcFTZXJJI9eUB+vZvjC66O0ujb5jMFw6dliw58XGzvSAvJpg4mhDJenzmYEqkBw0qzVTNYbPRK6QtdyGa2k4/uk6Xjk1O1zP5PSuXmpQsd0yaS0WMy1vNGN7vMSA4PdU8NZJEnCcjyqhWTsrPb6bHXfe7FAIDhdMimdT10dIuwv3N+9vcbjlRaphMZwKYUsQSalkUmqJA2VpK6STurinBYIzhmFjMFqzYQQXC8g8IF+Sa/etgmCAFl+Pp472bTBn3ljnPWGScrQmHhCw/PCWJ5CxiAIQ4rZxMA1ppxPUs4n9732tE2HhdUOknz8mqdA8LKQTmrR4Fa/JpfQ1bj2dRQuTeSZW2nj+QEj5TSaqlDMKdy4UMZ6Qm/gMEyP5pgayT51HbFznXIW1hz1tsXyRhdVkZkezR379xcIBM+Xf/xbH+B6AW9crvCVT02c9uEInhFDpHEIzgn5jMHSemffeulx0VSZL9waY2m9jaoqsTHeZsOmmE1QyERrpGbndIc4FtbaNDsOmZTG5FB2YOB+qJgiaajYjk8+o6OpYv102qSTGrom47iRXud5amh29uHCENYbPYq5BJ99bYRsWsO0PC6N56kWUyxvdNmkRzqpoSriOi8QCM4Gz6JtehlIGCrZlIbvh3HK8kHkMwY3L5bp9jyyae2J2que7ZNP63QsF0WWUXfVpQtZg0Z/SFWWJXIihUPwEqAqMtmUHidX5DP6uTSq+voXLzA1kqVne1yZKg4YAZ0X1mom9baF6wUkDZX1uhknxr1qnL+/3jmm2bFZ2Yxcpku5BIosc8eu8+aVoWO9XjqpHSrmUtNULoztjc0sZhPouoLTj/8cecYo0YOQJIlr00U2mhayJA247wsEgufPcDmJokj4ftQ13hkbfJxNjudHzjLxJKpkx+KPK1MHBfFts/M91+omjbZN0lC4MJbDD0IqheS5XCAJBM2OQ7Nj43iRuHq/82tpo8NaLRqk6vZcEoa6r2v2VnKN7foUc4ljNcQkSWK8mmH8gEGRs8JwOcVmMxKyKIrE0BkdNhEITpqO6fBouUUYhjxetmi0bQxdIZ3QyKZ0MvsU4ZKGOrABzyQ1blwo0zYd0sno57ZQFJmZ0dy+7/2qFjkFgrNKEIQsrnfo2R7FbAI/CPD8kHI+iev6DBdTVEtJ7i82sbf27zvSOsQ5LRCcH/IZgxszJTo9l1RCpdayaXejZkE5n3xuAxxbVArJgZSNnazXe9TbVuS2Wc0MpG3ux+5rjx+E3Jmrx7WHu06DNy5XT+bABYJziKrIfO61YVY3u8iyTNJQGS4fvf6uqUrshruTTFIjc4jewNM4yjriWdccYRiyvNGl03PJpfVjNeUc1+fefCM2rPH9JtcvCCMIgeCs8b2PVvjuRysossR//RdfF3uWl4SvfX6G3/y9u3Eax9e/MHPahyQQ7OFJ9dJnIZfWyaXLA/9tu//a//45aS0Ow0ajx9J65Fzb7bmoigRIdHsuhYzBUClFNqWTPb1DFOxCVWRuXChTa1loqvxcE6uGSyk2Gjv6cP1kGU2VeX12e9/eaNvMr7aByH1dVc6X432jHSUY65rCxFBGDKEIBC8Zr/Ke4s5cPe4N3ZmLdKbKEzRVqYR2KHOdct4glzZI9HvPI+UUqzWTZscmndQYq6QxNIWe7ZHPbD9PIDjvXJkustnogUSUeHwO0VSZN46pOT8rKLLERsPCDwIMTTmXgygnxav7m79A6i2LlVqX+ZU2mZROvWXjegFjlQyOFxAEASubJpbjU84nyGcMas0eC+sdcmmd6ZHnM02aSqj89GenuDvfIJXQuD7zdPH1cVEU+VQLFwLBq0whm+An357i0XKLfMY41KDFk/C8YCBKbGuzcFQabZtHS63+1zBUTBICi2sdxqrpA11geraH4/pkU4efhl1YbfNgqUk2pXPrUgVVOEQJTph6y+KPf7TIas2kmE3wlU9P7CtG2Hm+2H3hwUg5xVh1bzHxaaKpl4VPXR0ibWi0TJsLYznymWd3xhIIzhLNjs379zdQJIk3rlRIJaLG4VZMZ61lUWtZjFRSBAGMV9J8+vrIgSJO3w9Y2ujiej6phHZs8ZNAIDgbWI7H731vjtWayeRQlkbbJp2MSjWZpAZJDaTIvfsrn5rgo4ebZNM6Q4UkDxabcQ1BIBCcHzIpnUxfSPRTn53mk8c1ZAluzDxZhGw5HrbjPxc3zGbH5uFSE4j26rIsDQyD35uvs7TRpVJIcuNCed/X8P0Ay/aotWwkCWHiIhAAo5UsP//lWeZX2xSzBrOT2zU5PwjpmA6GphzYBF/Z7GJaHoWssa8BxGGZX23zcKlJLq3z+mzluQ+MHcRqzYwSyomuNbqmHPn3crxgIHHYdr2TPESBQHACeH7AP/7tDwD4Cz926VyJPwVPRqRxCM4LhzXCfFZOuv96VHw/oNNzMXQlrjVvsbjepd6y4j3kp7Sh55r08KrxYLHJwlq0xr81e3zzAl1TXkht/80rVbo9j3q7x2sXyxSyCfwgpNGyuP24ThCGXN7n83tcDcBpYNked+fr8V7B8wNm9xmGFwgEgvOIs+M+7/shvh+gyAenar1/f4N6y2KsmmZ24uD1SSqh89Of39aNjpSSvPPJGvW2TTalo8gSI+W06EEJXjo8P2C90UOSovR0/Qnn01nF8QJ+dGcN2/G5Ol2kWjx/umxdV6jkE/Qcj2xKH6j5vmqIIY7nTNt0uDvfoGu5rNV7BCFkUloci1gtJFlc77K8ETkjbDR7TA1n+f13F3DdAEkCs+dx4+L+DdJnpZBN8PaNkX0fW6ubWLZHKZeIm8sCgeB8Ui2m9tywTctlo9HD0FWGislDD4sZukIuo9PqRG6hxx3Q6tnbTdYwDPn4US12GWmbDjcvVfb8zHq9x8PlJoRREfbaTOmJE+YQiet//92F+GZvuz6fvzl6rGMWCA7ik8c1vvvRCkEAj6UWmZTKz33p0p7nVQpJai0Lzw9YXu8yNpRmZdOkZ3tcnT66c6QfhKxudvGDkOFSCl07f5sLgKvPcZBUIDhNgiDgm9+dw+zf8zaaPf78n42uDbm0gaEp0b5AglI2QS5tMDWSjaNw/SBktdbF90OGSikMTeHBUpNa02JpvUvP8ZgZzXFhLM9oRQxyCATnkT/64SL3Fpr0+sLnz90cpmok6dk+QRAiy1GaZaNt8c4nqwQhdC0Xy/JRVZnNZo+blyqvtDuJQHCeSSVUPnX16W5JzY7NnblIjGBoCjculk9UMNezPUzLpdsXAJWsbXHPo+Um3/5gBYC5lTaSBNdn9tYpVUWm3rZpdmwAUuK6JBAAMFJO7xFm+X7AR49q9CwPJLg0nt/jvHt3rs6duToJQyWb0rk6XTxW03yjYfL77y5Avy7mesGB/YDnzc5a4H7fH4aUoZJOanR7LgBD57BBKRC87PyH786xvNGlkDX4Kz915bQPR3DCfO3zM/zGN6M0jj94d4Gvvj112ockEJwovh+wUjMJgpCRcupAw7kt9uu/vgg8P+DDB5vYjo8kweRwtp8KEtWSTMtlvR4lL7S6Dmt1UwxxnBCL6x3+5L0lINojA880yPE8Wa/36NkupuWhazLDpTSbTYtqwebRSpvvfrDCRqtHMWMwv9bma5+bRlNlXC/SKR2U5HkWsV1/QPh3nL2GQCAQnFWGilFCBkAhazxRE/L+/Q1+dGcdiO5ThqY+cbB+p270vbvrvHdvAz8IkSWJXOZoRoLdnstms0dCVxkSRt+CM0oYhnzr+/NxStnieoef+uz0KR/V0fnDdxe4O1/HD+DRcotf/PFLsZnoeSFlqBTzCYphlBZn6OdT73YSiG7ac2armZDQFTRVxnZ8RvtTiqOV6H8/eVzb/oEQHi+3cftDHmEIC+vt5zbEcRBLGx0WViNXrNWaKUQhAsFLhu36fPSwFidqOK5/aEcsSZK4Mlmk2bVRZJlc+niLgELWYHG9QxCE+GE4cDM2LY8wDPcMlqzUunHTudtz6ZjOUxvYm63eQNGm1rKOdbwCwZOot6z4cxYA9baz7/PyGYNblyrU+s/fctDt9o5XTLw3X6fZH6iqNS1uzVYOnVAjEAieP5bjxQMcAM2OQxAEyLKMpsq8dqlMLq2zsB4V0RRForDjvnZ/oUGjHQkhN5s9bs1WMXtRIlXXivYZjuezstkVQxwCwTml1rZJGio928PzA2zXZ7SSZrSapmd5pJIahqbwRz9aZKMRrWMbHZvZCZlSLkEYRsPZYr8uELzcrNbMAWOCets6UeGypsgsbXSjGoEEkyO5+LGtZsYWm83999SeH1AtJEklNCSJF+J8KxCcV1pdJxrgAAijc3znEEezY/PRw03apgttm7AcDXEeZ4hjs2HHtTQ43bpYKZdgvdGDEGRZopg9+u8jyxLXZ0o0OzaqKpMV5lMCwZnCcX2+8R9uA/CXvnqZVEKsB142DE3h53/sEv/b73zEb37rLj/+6UlRjxa8VNyZa9A2o55LvW1x61Ll0CZ4L5JG245TEsIwWj/eulSh23NJJlRuP6qD1IYw6utqJ5zm+Cqze4+8ccAe+bRZ2ezGQyaLax0qhQSGrhKGsFbv0bM8upYDfcOYVELDtDxuXirTMV0Shnqu6o3pfg11K5VGpIMKBIKXienRHIWsQRhCPvPkOkh9V91no9E7tBbMtFyCWPMSxprXw2DZHh8/2qFB83wmhkQqo+DsYbv+wHpuddPE8wLUc5Yy+WCxGWvFzJ7LZtM6d0Mc0yM5Oj0Xp58e+Cqb9ZyfVfc5JZfWkSRQZJmxSgZVi6Kmpke3m6GFjMHKRhfHC8ildcaHMtyeq9GzPVRFOhVXhHrT4qOHm/Qsj+FSipnR/LnapAkEgidj9tx48QxR8/goRI3WwWtTEITUWhaSFDVln1bUTBoqNy+WaZkOqYTG4+VWvAnIZfR9f97QlO0mNxzKeXSklEZVZRzHZ2mjQ8/yeP/e+pFcURzXp9GxMfoT7bbrU8waT3XgEbw6XBzP897dDRwvwA8COqbDv//OI966MrTHhSlhqAyX06zWTDYaPRRZYmYsv+c1mx37qZ+1trm9cbZdH8f1SRzyfu37AbWWHa01cqKYKRA8DxK6Si6ts7IZpe7NjOboWh492yOfiZI4LoznqRaTmLZHLq2T0LfP4bbp0DEdVmsm9bbFas1kajiHIsv9PYaEoSkn6sQtEAheLGPlNF0zGsJwPZ9qPoWqyqiKTEJXeff2GsvrHR6ttMgkNWRZRpEl5P5aWVEkIV4UCF4BjF3uaoe995uWx3c+XMayfa7NFBmvZmh07HiNUm9ZeH6I43pMjWQxLQ9Dk1F27McnhrJ80Hd41VSZ8Wpm3/fSVJl0Uov38oVjiM0FgleFneew5wV89GCTx8ttZsayXJ8p0zYd0kkt3vNbjkc+fbxzaqSSil2ZAcYOOIdfBPmMwWsXynQtF98P6PRcdE1BVWR6tkfbdMgktT2ib9Ny6fTc+DFZFnUMgeCs8m//9BGbTYtKIcnPfGHmtA9H8Jz4mS/O8C++eYf51Q7f+XCZL9waO+1DEghOjHZvu19q2T6uFxw5AT0IAt75ZI2NhkW1mOAz1w+XghaGYWwAVsolnjggtXtPqGtK/H8AE8MZVmomnZ4dr58sxxuoPQuOx3g1zQf3N2Kjhcmhk1tf797DX9ind3hYdvb+U0mVnu1j6H0jqazBZtOikE3Qs7sosoyhK1SKSTRVoZh7sf3vMAypt22CIKSYS6D002S29gBhf9Akm9IP1CypisyNi2XqbQtDU441AC8QCARnmcNe18aq6XiIT5KeXgd6uNTkk0d1EobCWCVNLq3RaFtkkgYTQ1napjPQ1z6IrjWoQWt3Dz8AIhC8SHRVGUj5zab1czfAAaBrMmv1KEGwlEseWid2lijmEoyW06zWu0yPZs/l7wDRENuW9jVzTHOz8/mbnyNSCY3XLpapNS0er7ZQJJnVmommyvGNUpYlgiAkCEJCoJgxKOeTrGx0SRrqvpOJYRiytNHFtFxKucSeuPVn5dFKK47iavUc3ro2RLV49PewbI/NloWuKsf6eYFA8HxIJbX42gMcO01jJ3fm6nFBqJ63mZ0oYPYc3r+/CcDNS2XSycH3SRhqfBO+Nl1kvdFDkiSqB8SzzozmeBg2cbyA4VLqUE5emZTO1z8/zb//zmPSSY1kQuVHdzfIpnVmRp9e/HK9KJLY9YJ4SKWYTbCkydy8VImTFASvNtdmynztCx4Pl1o8XGqSTmqs1Xp86wcL/NKPzyLLg58TiWjT7AchYRiyVuviBwHlfJJSLsHyRpf51Whz/aTPWjalxdPVxo4C/dMIgpCPHtXioajhcorpHW67p00Yhqw3erheQDmfEI0FwblFlmVmxvJYtocsS+SzOh8/jFL4VEXm5qUyuqaQSenomsLiegc/CBmrpEklNDqmy8OlJnfnG31hpI4EvHV1mExaZ63WJQh4pmaOQCA4Xd68UmG11mVpo4MUwh/9aJEPHmzyuddGsF2fDx9Ea+me7SFJEuV8kqtTRd68OsRGo4eqSPRs78iCAoFAcL4YH8rgegE926OUT5BKaCytd1AVmWoxeaCJwp+8txQPk/7RD02mR3Px2lrT5DgJGClK49gavMjuqBFkUzrjlQwbDYt8Vqd0gHBakiSuzZTYeMq+/lWg2bFZq5vomsJENYMi6gaCXWRSOlMjWdbrPX40t06jY5E0bDabPQoZg2xKJ5c2UBQZy/a4ealy7HSbfMbg65+f4fFKi3zGOPW9QzqpUWtZzK+02Wj20DSZT18d5vFKizCMaiVXpoqxOKFtOnzyqBY/dn2mREYMsAoEZ5Ke7fEb37wLwF/5qSvCAOklJpXQ+Nk/c4F/8c27/Itv3uXzN0fPZFKB4NXBtFzqbZuErjyzZiKhKTxajtYlY0PpY5nnfPyozu3HdSBKV04nNa7PlJ/6c/cXm9T6qQ4bjR7XZkoHPjefMZgYzrDZsEgYyh6HbUWW0TWZoAurGyaZpM5m0+K1i2XRb3lGKoUUP/25aRbXOxSziQHz1mdl5x7+T97rUcwaFA5p+NqzPRbXO8iSxMRQhlxaj1O+S7kEY9VM3OOOzGQCkobKWKVLIWtwbbr0zJ+NWsuiZ3sUMsaR9i+Pllus1yNH7HTNZGo4wyeP64Qh9GwXJImkrsapfAe9tqbKr7SDs0DwKrDR6FFvW6QSGmOVtFiD7sPsRBFDU9lo9BirZhguHXxdbLQt/vi9pTjBtdmxcN0Az48MRD3fH+hrX79QotV18P2Aan/wb4t0YlCDlk2LVEbB2USWJb7yqQnev7+BJEm8Pls57UM6FhJAGGmrgHOpXXy41ORPP1iGEB4vt/mZL8wceu17VujZHu98vErbdDB0hbeuDB3LfEjs0F4AqYSG6wVoyvbNa7NpxUMctZY10HhYXO9SLSTjZmezazNaSQ+85vJGl8W1DgD1lo2qyCc6Ta6pMoWsgecFJA0FxwmO/Bqu5/PRwxqeH/2s5XiHjugSCATPF0NTuHEhElcYusrQMw5ZuZ4/4OgROcWE/Mfvz9PqC8xXNk1+/suXDnwNRZEZKacPfBwiJ5mr0wcXLQ+ikE1QLaZw3O1rWfuQ6SNt08H1op/rmA70C1yOG9A2nVNJSxKcTd66OsytS1V+/T/cjv+b4/g4XkBCH1wwW46H4waUcgnW6yYPl1rIsky9bXPjQpnajpjLJ33WZieLrG528YOQ4VLq0NH1PdsbSLWpNa0zNcQxt9pmdTMaJl2tmdy6VBFJA4Jziev5WLYXp+0srLcZr2SQJAnPD2h2nHjQ+c5cHbN/Xra6Dm9erpJOaqRTGoauYugKQRDQsSLx5tJ6h1zfjXdls8ulicKp/I4CgeDZaHZdSvkkCb2F4was1Hr0bJ/51TaNjh0/r1pMUcwavHV1iJFymm7PjR4PYaNhcXmqINalAsFLjKrIzE4WAPD8gPfvbcT71K7lHijK3hl537M9OqYbizLmV9rbe/AQpkdzOK5PKqFR2TGAUW9b5DNGXHestawDa5DqIfb1Lzu263Nnrh67srpewKxYpwn2YaScxtAU/uS9Jbo9j67lUcklaHVcRisZrk4XaXZsMqmDh6cOSzGXOFPJFbWWxeJ6B9v1AfjOh8sMFVNIkkQYQr1tD1xzts6nrcfEEIdAcDb5N3/0gEbHZrSc5qtvT5324QieM3/hz17it3//PnfnG7x3b4M3Lh8++VwgOEks2+Ojh7VYMOi4wR5dxVEIwxBNlQlC+qKoaJD0KLRNZ9f3T3ei3krh2KLVdXA9/4kDcWOVDGOV/d21ay2LdEKjodioqky352JoCq2OQ6IkJELPSrWYovochgV27uHDEDqmeyghWxCEfPKoNlAnuHWpgiLL9GyXYi6xJ8l3pJxmpJzmFicjXFytmTxebgGRlunGhdKhzBgh0k5t0e25rNV78R6g1XWRJEjqKkEQUm9bxx5wFwgE55tmx+bBYhOIdJISp5s2epaZHM4eSp/ZNt14gANgab07UEO6/bgeG+N6fsAHDzYI+5Kr9XqPm7MVlL4+JWGoXJ8psdnskdBVhp4wPCIQnDbFXIIfe2vitA/jmeg5PrmMThCAqki0u/a56xM/Wm7F1yDfD5lfbZ+7IY7ljW5sTgSQTTd4O3e4JMadCDXcC8LQlYENfsLY3nAPRP5JkM8ONkL3iwQ0dwgvIWrEniQXx/Okkxr5jEE2bTA5cvRiR6fnxgMcEC2oBALB2SGV0JgayTFcSj3zhLoiywPxYgldwfXDeIADoqKl7ZzsteoozE4U4uuwripMHVKwntCV/ggraDuSDrYKRgLBTlRVZnJ4u1gwUk7v61yja0o8cGG7/rZ7dgg9y4s+d32e9FlTZImxaobJ4eyRHLh3vj/sv9Y4TXZeOzwvwLRE3KbgfLL7/phN6QP33OSOPcHO9bznBbh+QCqhMjWUo5JPoCkyiiJzcSyH7Xix4AmgecjBRIFAcPZIGiq6qqCpCkEYokiRqYKmKhSzCRQlumYossRnrg8zMZRFVeRogHpHcX3nvVMgELzcWLYXCzPgyef/xfHtfW8hm6Cwo+a4M5FTlqOkn6mR3MAAB+zdK5y1vcNZw7K9uGAPDAzPCwS7aXYdRirpbec0pLgOn88YTI3knnmA4yySNNR4PyNJEpom4/vhwOP7fQ0I52iB4IzS6bn8y2/dA+CXv3b1XDpACo5GIWvwU5+bBogTWASC06DTc+MBDojMMZ8F24sS06uFJGHIgNbhsFwYy2/XcxSJC4dIapD6SQNbqKqMIh//WrqlRdnqG239b0Ls5840O/fw2ZTO0CFNEjw/GKgTbPUaqsVon797gON5sFMLFAQhnUMML22xc82vKjKZ5Pbx6po80P8UNQmB4NVlty5yt25ScHSGi8mBe8Sl8cLA47sTzmxnuzdtu/4e/Vc6GWnQxACHQPD8qRaSJHSVVEIlndJIp07O/P9Fsdss7LwNcEBk4rWzH+R7R98/gkjieGEkdJUrU0VWayaaKg9MPE4OZZEAy/Ep5xOU80k0RWKzaZHQFSaG9k5HFnNG7MYgyxKFHR/qZsdmYa2DIktMjWTjCfcgCHm80qLbc8lnjCdOXc5OFMmnDZpdm7FKmlTi6Bu71K6oLOGQJRCcLdbqJms1E0NXmBnNH8rl3nF9Hi23cFyf0Uo6XrTLssS16SKL6x2kfkyrrsqU8ok4+reQNTBOsdE6OZzl61+Yod62GCmlD31NSiU0Lk8UWG/0qBQSIEl4XhQPKIqdgp3Mr7ZpdmwmhjJMDWdBkpge2f9eqyoy16aLLG10kWUJpy9eUBSJXEanlDNQFRnb9Z/LZ01TZa5OF1ne6KKpMhNDZ8ulIpPS4kKMLEtnoihr2R6PVlr4fshYNX3uptgFp8Pu++O1mSLv3dugbTrMjObIpHT8IOTxcotayyIIQsr5JJmUhq7KzE4UWFjr8ONvTxEEAdVCktFKBt8PUFUZr78JzAjnKYHg3FLKJbg0kUfXZB6vtuiaLuPVDI7nEwYhlycKJAyViaEMhWwC03J5vBytOSzHi/f7mZS4DggErwqGrqIoUix4Tj/h/L81W6VSSNK1XKaGsrR7blxvHCqlWN7o4nqRU+1BNYFyPonrBbS6DpmkxvBzaMJtNnusbEY10+nRHMYhB9RXNrtsNHokDJULozmUMyAYTSc1DE2JBeqlvNg3CA4mk9QYLadJGSqm7fGZ68OHqsP7fsDjlTam5VLKJc6d8+TF8TzLm11qTYtC1mC4FCWOtU13z3VmqJjC8wM6pks2pcdJhmeNnTXTkXJ6z0CcQPCy89u/f59Oz2VyOHPu3SwFh+cvfmWWf/unj/jh3XXuzte5PFk87UMSnFNs1+fxcgvXCxgpp/YIBp9EKqEiScTCmfQhnf8PopRNxBqMTEo7VkL4cCnFz3xhho1Gj2oxdWCS4RY92+PxSgvPD9BVmXRKY7yaOXTy+n6MltOEYTS8b1XTpBIapVxiYJhfcPbYvYfXn/L565gOc6ttwjDEdn1WNrvIksTV6Rd/Pc4kNRrt/iCHBKkj9CwuTxaYX20ThCFjlQzppEYQhrRNh/GhNBISnZ5LLq0f6fogEAheLvIZA1nuxBrEYu70Bctb+pB0UmN6JPdM9+6jUG9ZLG10URSJmdHcsQ0vdF3lZ74wzdxam3RCY7SS4cMHmyxvdCjlk7x+qczypknP9ijlojXS1rVeVeVD13AFAsHJc/1CmUfLTSwnYGY0R+EcrvNfv1TB9wOaHZvxocyhEoTOGmPVNEOlVJR8qCtMH2KAfz9OXxH3CpHPGOTS+h7He1mW9jjCl/PJJ25AyvkkuqZgWh75tB6LO30/4O58I1603Fto8PpsFGG7stllvd4DoonUpKE+sZnwrDGQhqZwbbrIeqOHoSmMHNIpQCAQPH+6PZdHS1GkqWl5SLSYnSw89eceLjVpdhzCMOT+YpN0QouvP6mEtqdI/9XPTPLxoxoA16ZLJ/tLHIOnXVsPYmdkoECwHxuNHssbXSA6p8aHMoz3RRRhGO6bdpNJ6VyZihbSkRDTJ5/R483ucRd3hyWb0slOnc2F/PRILhY+DRVTR0oZeV7cW2jEjh735hu8eWXoWA0cwavHzvvjg8UGuqpQziVpd11aXYdG22Kj0aOQMWibDsWcwcXxApIkoWsKF8fze15TUWSuz5RYrZlRIk9FrLMFgvPI1hphpJxmpJzm7RsjeH7AWt3k9uM6mZROEEaBG1vuI3fnGtiujyxLhGEkDi5kDNHAFAheITQ1Wges1XuoisRo5cni7Z2Pl3V14HpxYWzvOmM/tq5TB3HQnucwWLbH/cVmnC4UhM1D1Q+aHZu5lTYQ7cFURWbmOe+hDoOqyNy4WKLWstFVWdQSBE+k0nd47vScIwmSFtY7bDS26vwdkgn1QKOBZzk/nxeqIvNjb46z2bQIwmiQXZElRg94/thTrnNnga2aKcCDpSbppHYmDCkEghdBs2Pz239wH4C/+rXrKC9IuCQ4fYZLKb781jjfemeB3/i9u/x3/+VnT/uQBOeUh4vNKHEUot5jUju0GDGV0LgyVaTWskga6jMPnV+ayFNoGvEa5bjrqCgJ8XB7gXsLjTjBT5alQxvvPQlJkqIeVfWZXual4SyuiQ/iaXv8LcIw5M5cA88P8MOQ+bU2lVwCWZZi86fjcpx/r9FKGlmWYqHvUYyndE3h0kRhz+uNIvoeAoFgm6ShcvNimWbXIZVQX0jK0JPYbA7qQ3RNifUhzxPH9bm30IgHWO8vNHntYvnYr6frKpf6fWmA1y6WB15vp6i6mDVY2ujiByHDpdSZMNQRCF5VHi+3yKYMUkZAvW3T6Zv6nydUVebtGyOnfRjPRDal8/aNYRptm3RCO3YSkagiv0DmVlqs1Ew0RebyVPGZHXOzKX3PosT1g4HIUMfd3qBtOcBtPzb4/fMgk9JFAodAcAbZff7vvj4cRLPjcH+xgR+EFDMG9pT/xIQAQ1d588rQMx2rQHAe2H1OOa6P5wfcmavHbpFXpgoHbmTzGYPDyadeDWRZOnNOojvXVGEIrueLIQ7BoQnDkHsLDT64t4nj+4xXM+iqguP68WdLkiRyaYNsSj+U4CFpqGdCqCgQCI6OabncmavjeFHCzk4RtarIlLKJAefInesM29v+Op3UmBrOnolhR4FA8GJJJTRmRk8/gcfzA24/rtPtPX3PcxCuH8QDHHD4euXO9flRfu5FoKnKc0ksEbycVIvJI6dL7K1B7C/SWq2ZzK20kCSJS+P5MzVUJEnSS5VW4ewUyoXR30gMcQheFf7lt+7Rsz0ujuf5wq2DxrEELyv/2U9c5lvvLPCn7y8zv9o+l86ZgtNnoEcZEgnQjyAvyGeMExMsncYaZefaLghCPD8QvYcTwrTcyBDF8/fU4M47QRjtyQHCICTwQ3JpA1mWon32cV4ziPoYjbZN0lC5Ml08tMv6llGNQCAQPE8ShvpEfdKL5DQ0mBBd+8Nj1FIP4vFKi9VDalkVRRbrfYHgjFBvWyfwSZMAAQAASURBVDQ6NkEQEoTRuve8DXG8LBSziQMNlg7Lqe/+Hj16xF/5K3+Fr33ta/zSL/0S9+7d2/OcIAj41V/9VX7u536Or3/96/zdv/t3cRwnfvyf/JN/ws/93M/xsz/7s/y3/+1/S6sVucuvrq7yN/7G3+BrX/saf/7P/3n+zt/5OzQajRf1qw3Q6bmsbJoQgusFPF5uPZf3Segqhez2CbmzYVgtJOPoLlWRKZ2hpo1AIHix5NL6diNR4tDiAsf18f3IDrhne+fGtUQgeN6U8gnUvlhJliWqhSQrm106pgtA23RYrZmneYiCZ2S4vH2dzGV0IcYQHIlay6LesslndFw3YLOfVJfPGFSLSbZup5oq1ugCwavA3Go7EluGsF7v0ezYA48bukI+s61WGNqRkLlz3V7MGWKAQyAQnCrLG126vR17nvrR9zzphEZ6R3Nw6JCpwIWsEYtJJIkji+AFgvPMUDE1sIcoZvc26Dw/4PFKizCMxFgPlpov+ChfLYZ3XLtSCVUYWwleGWoti3/zxw8B+Gtfvxb3IAWvDtMjOT732ghhGA30CATHYWetI5PSSCVOf2D9RbLz989ndBK6qPWcFAtrnUhk26/BNdr203/onKDIUrwPVhWZieFMfB8+rgNwrWXF/0Y922NxrXMyBysQCAQvIaXcoD7kRQ2BJo3BFJKdGoaj0jEdVl+AllUgEJw8qYQWG/0HYThgDig4f5y6+uy//+//e/7yX/7L/OIv/iK/+7u/y9/7e3+Pb3zjGwPP+Y3f+A1u377Nv/yX/xJN0/h7f+/v8c/+2T/jV37lV/jjP/5jfvu3f5tf//VfJ5PJ8Gu/9mv8o3/0j/j7f//voygK/81/89/wmc98BoBf/dVf5R/+w3/IP/gH/+CF/57hzjHIfb4/SS5PFmh1HRRZGmgWZFI6t2YrmJZLJqmhqaIAIBC8qiiKzI0LJdqmi67Jhy6IFrIG02EWzw9JGipihkMgiEjoKrdmy3R6LklDJaGr1HcVg4PneO8XPH/GqxnyaR0/CMmldTHEJjgSQd/4KpPSmRlVSKc0XrtURlVk8hmDW5cqWI5POqkJlzWB4FVg15Jg9xJBkiSuTBX33ddPj+Qo5RIE/fuRQCAQnCWOs+WRZYnrMyVaXQdNlQcGOp6Epsq8dqlMx3RJ6MqZceETCF4Eh9lDhCEDaw5Rkni+DJVSZFIajhuQTR8uXVEgeBn4P//jHRzX5+p0kc9cHz7twxGcEr/01ct858MVvvXOPP/5166J4VrBkRkpp8mmdDw/IJvSX7mBsImhLIWMIXoPz4Hdfblwd1HunHNhLE85H11zsymNVtdBlqUBce9R2PPvJTYRAoFAcCD76UNeBJIkcXW6SNt0UBT5ickZT0Nc5QWC88vFsTwpQ8XxfEq5xJET0gVni1Ptbm1ubvLRRx/xT//pPwXga1/7Gv/gH/wDFhYWmJiYiJ/3ySef8IUvfAFdjzYbX/7yl/m1X/s1fuVXfoVPPvmET3/602QyGQC+8pWv8Nf/+l/n7//9v0+lUqFSqcSv88Ybb/Drv/7rz3TMYRhimkd3lVOATEJis2lFE5hDiUO9jmV7rNV7KIrMSCl56BNO6z/NNL09jxkKuI6N6+x5SCAQvEIoijyQ3HMYJoezWI5PEIRUCsljF4F24/sBSxtd/CBkpJQS4gvBuaRjujQ6Nq4XkNBVRsopGm2bnu2RTKgMl0SM8HlHOGkKjks5n2CzGbnt265PRU/S7W1HWp6l+F+BQPD8mRjKcHuuju+HFHPGQOrGFpIkxdcIPwhZ3ujg+SFDxZNbgwsEgpefIAhZ2exiuz5DxdShByQOy0g5Rb1tYdl+f89zPOc3WZaOXJ+AyG30OD8nEJwlwjBktWbSsz1KucShY++ftofQVJmJoQwLax0kKRoEFTxfUgmNlAhWFLxCrGx2+XfffgTAX//Z60J0/ApzbbrErUsV3r+/wW/9/j3+5i/cOu1DEpxDTnqvcp7w/YB62yYIQgxNDKifJBNDWe706nh+QCFrUDjkWvs8sdPk5Wl7iW7PZa1uYmgKI+X0noGpcj7JZsOibTromsxYNfNcjlkgEAheFjRVoZh9/gbanh+wvNElCEKGyykSunro+tGTyKb0fg/bQlEkJoezJ3C0AoHgRTAxlGFpo0MQRGvAV3k/9TJwqjvA5eVlhoaGUNXoMCRJYnR0lOXl5YEhjlu3bvGNb3yDX/7lX0bXdX7nd36HxcVFAG7evMk3vvENNjY2KJfL/Kt/9a/odrs0Gg0KhUL8Gr7v88//+T/nJ3/yJ5/pmF3X5eOPPz72z+t+iCzD4tw6i095rh+EPFyx8fvRN5mkwnhZiDUEAsHpkc8YfOrqEH4QnqhT+L2FBs1ONFlWb1m8PlsRU6KCc0WzY3N3vgFEkcwAQ8UUNy+V8fwAVZFFI1MgeIWRZYlrMyUeLbdgs0ur69A2HV67WD50GpZAIHh5yKR03rpy+DX1w6UmtaYFwGazx+uzVZHaIxAIDsXjlVa8P9lsRnttXTu5xqKmKty6VBF7HoHgGVja6LK41gFgo9E70T3CWDXDUCmFJEkiGUIgEJw4//u/+wTPD3nzSpXXZ6unfTiCU+aXvnqZ9+9v8Lt/+ohf+onLFHNiqk0gOCw7e6S1lsXrl6ti7XZCZJIab16pnnhf+zziuD4fP6oR9LVHtutzYSw/8BxFlrh+oYTrBaiKJPb4AoFAcEa4M1enY7oANNo2t2YrJ5ZcdmmiwNRIgCJLr1wamkBwntlsWeQzBmEY0rM9XC945de755lTH+PfvfDfL5LvF37hF1hcXOSv/bW/RjKZ5Itf/CLf+c53APjc5z7Hf/Vf/Vf8rb/1t1BVlZ/6qZ8CiAdDtl7zf/gf/gdyuRz/xX/xXzzT8Wqaxuzs7DO9xhbLG12+89Earutz/UKRmxfLA4+bloutNLbfW5W5PltGIBCcHs8yxPUysF43+cN3F+k5Hlemirx9Y+REXrfTc+OvXS/Adn1SYohDcI7o7vgMQ5TKMVSM1jmaerLuC0EQ8PvvLrK43iGb0vnqZyZFQoRAcE6wHC/e/4QhdHveoQRa3/94hduP6yR0hS+9OXFsl2uBQHB2kPcpiD9YbPLdj1YIw5C3rw8zO1kEoGturzN8P8RyPDRV3PsFAsHT6ey4fgRBVMw/6hCH4wX8p3fmWKv3KOUS/MRnJkno23XX57HnEQheJTrmdlx2GEY1spMc9FbPaH3t0XKTb38QrXvevFLl+ozoewgE54nHyy3+0w8WgCiFQyB460qVa9NFPnlc5ze/dY9f+fmbp31IAsG5YXeP1HF9kkdM43javu1VZr8a3KtIz/biAQ4YrBfs5iwKAD96uMmP7q6jSDKfuznC9KhIGhQIBK8OO9cKtuvj+gGGfJJGPS/2uj+/2ubeQoONusloJcOV6SJDRdH7FgiOQtd0kSUJJOnc9o47psO33pmn2XUYq6T5sTcnUM/gOvRFcKo7t9HRUVZWVvA8D1VVCcOQlZUVRkdHB54nSRJ/+2//bf723/7bAPzO7/wOly5dih//5V/+ZX75l38ZgB/+8IeMjIzw/2fvv8Mjy8/7wPd7YuVcyLHR6Dw9OXDIIYecIUVKFEmLkimNxZWvJS69dynbe+/KvrZ5LVoWtZIlXSXLujYl2/tYu5JpaS0qWaKYxChOjp0DgEZGoXI6+ewfBRRCo7sRqlBVqO/necjpahSqfmjU+Z1fet83GNwo7ffZz34Wi4uL+Lf/9t9CFA/2ixYEAX5/Y24cb04twHFFSLKIq7MlnBrv3VLuyuN1EQ4a0E0bAJCM+hr23kRE+/HipWVUdAsAcGUmi/GBMHoaMJiOBD317MIeVYKHC4vUYcIBFRAArK1/RoLNGxzfnM/Xs3QWywZeubKCdz00fI/vIqJ2EA16UFjLqiaKAkL+ex/OWs1VcHk6CwCo6jZevLiE739qoqntJKLD5zgOnr+wCNuuDSaev7CE8YEIZFlEOKjWM+krsrjnjXwi6l7hoIrq2hxelsV9HQy/Mp3GSqbWB2XyGt64vorHG5TQgYhqa2L5TXOEcJckafjuW0uwLAcA8PLlFRwbjPCgIVEH+d2/uATXBd5x/yBOrAWfU3cTBAHPvf80PvO5v8FffGcKP/ieSVbjINqlSMCDTGHTHuk+qidy3kb34vcqkGWxPgYPN3Efs9E0w8IrV1YAF7Bh4/m3lhjEQURdJRr0IFfUAQA+rwy1gw85l6smFlfLWFwtw3FcLKbLUFUJ8bC3bRORELWjSMiDlUwFQOfuHb92LVVfF19IlXFjLo9T4925xtTS314ikcDZs2fxJ3/yJ/joRz+KL37xixgaGsLw8NaDiLquQ9d1hMNhZDIZfO5zn8M/+kf/qP71lZUV9Pb2olqt4jd+4zfwiU98ov61z372s5iZmcFv/dZvQVVbMxGZXS4iV9Th88o4NhCGtHbTsW1ny/M2R74DG+UKV3NVyJKInpjv0NpMRN0pla1iKVOGIos4Nhi5baFwe79lbXu8XxODEYT8KmzbQU/MxzLB1HGCfhVnx+PIlw0EvAqiIc+9v2mfzG3Xne3cXsWs2eZWisgWbh/bENHd9ScCUGQRmmEjFvLAe4fJtOO4mF4soFw1Ydn2lq+tH/AmoqNn8z3ddWuBHfmSiVLFgGnZ6IsHMNIf4kI2Ee3aaF8IPo8My3IQj3j3lVXN2jb22L5+uVm+pGN2uQhRFDDWH0bA17hqAkRH1W7nCI2i6RamFwswbQdDPUHEW3TAdktFdhdwGrPESESH4JXLK3j+whJEUcCPfuB0q5tDbYTVOIj2Z2IoglBgY490P1Ujtu8T2VbrBle242JmbW07GvJgpC/UsrbQBkUWcfZYHJm8BlkW0RNt3tkj03IwtZCHbtjoifnQnwgc6PUcx6kn0QMA2+XkgYi6y+RwFCvZChzXRW/MD0Ho3PNU6+tB68tC7tr/uXvY/tZNG1MLeZiWg4FEAMkm3tOI2tVYfwh+b23vJxH1deTe8fa9JqtDF4jXYwP8Xhnjg5F9nXlt+W/vZ37mZ/D5z38e73//+/G5z30OP/dzPwcA+PSnP42vfOUrAIBisYiPfexj+OAHP4i/83f+Dn7kR34EzzzzTP01fuInfgIf/OAH8ZGPfAQPP/wwPv7xjwMAXn75Zfzu7/4u5ufn8bf/9t/GRz7yEXzqU5861J8vU9CwuFpGVbeQyWuYT9UyZ1uWg/OTSazfVyeGIjtmJFEVCYM9QfTG934Tdl0XmYKGVLbakgOeRNR61h4W6aq6hanFPKqahULJwNRC/rbnPHiyF5JU64uGeoMYSAZve85+iKKAvrgfgz1BKPLeM8zkSzpWshUYpn3vJxM1yfqguNnlJo8PxxCP1MYMqirh/slkU99vu0xBw0JqY2wztza2IaLdSUR8GOoJ1jNhV3ULK9kKKpoJx3FgWQ4W02Ws5qqo6hZMy61X65MkAQ+e7Gll84moSURRxAOTSUCoLVqdHo8hU6pV3KrqNhRZQqlq7CsbIxEdDcWKgZVsBZph7fp7BEFAb6w2195vhvtTY3GEArXEOH6PjLMTiR2fZzsurs3mUNEslComrs1m9/V+e7WXdQ+idpBdX6/flKBh+xyhmW7M51EoG6hqFm7M5Xa1lmY04Tp74ERPraIpgNPjMfi9nZctjqgbmZaDz33hDQDAh56a4MFc2mK9GgcA/MV3ppBdqyxARHe3fY/UcVyk81Wk89Wtga93cXJ067zt3CHsG91pLraQKtXXthdXy0jnq01vC+1s+zqCV5VrZ4+afAD41lIBuaKOqm7h1lIRxYpx23P2Mpf3e1WcGlvLyiyAeyRE1HVEUUB/IoDBZLDpB7XX963LVbMprx/0q4hHvPXA1WTEh8GewJ7O2EzN51EoGSiVDdxcyEPTd79eTnRUCIIAWRQgAB2bKPv88SQ8am3fOxry4MRwpMUt2rt0vlqPDUjnNSzs8/xcy1fGJyYm8PnPf/62v18P5gCAZDKJv/zLv7zja/zpn/7pjn//yCOP4MqVKwdv5AFs3gQxLRtzqRJml4uYWshDEAQ8dKoX4wMh+L2NrxIyvVhAKlubFK9kKzh7LN7R0ZhEtHvpfBV//fIsqrqNoZ4gnn54CKJ490GvaTkwTRuFsglZEuBVbz8gNtIXwg++exKG5SDob48yq8uZCmYWCwBqh+fvO57YVyAI0UHkSjr+859dRKaoIehT8Nz3nMJQb3M2MVVZxAfeNoaKZsGrypAPuVzm9gMeJg9NEe1buWri0nQGjuNiIV3C3HIRkiRivD+MRGQja8gjp3sRDqhQZRHqPg9gElF7yxY0xCM+DMR9mFkq4TtvLGJ8oIxC2UAk6EFf3M97LlEXS+eruDFXS7QgSQLOTST2HZSxV36vjA89dQwlzYJ/h/lHvqSjVDXhVaQtmZOa3Wc5joO/fmUOC6ky/B4Zzzw2gmioNRUFiHZrerFQL3O/klVwZjy+r0zLB7F5Tu+6tWtVvUOQaEUz8KUXZlEsG4hHvHjvoyMNmY+4rotk1Ienzg8gGvY1tZopETXWn3zjBuZTZURDHjz3Pada3RxqQ5urcfzBV6/hk3/rfKubRNRxrs1mkS/VDr2nQxpOjsbu+T33mrc1kuM4+OLzM5ieLyDol/H9Tx3fkqx0+1zQMLme1QqtWkcwTBsLawfZIgEVgiBsmYNsnsv7PBKeeXR0x2S32z12th/nJuIQRfHQ1kOIiLpNRTNxcaq2bw0BODUaqycabKTJ4SiGeoJIZctwIey5YtNiuoRXLqdg2Q4GkgGcGY+Dq8LUbV6+vIyvvTwL23YxPhDGDz17suOCOWJhL979yDByRQ198UBHnoO5fe6zv+TjLa/EcVRZtoNLUxlMLeSRylVgWTbmVkqoVE18640F5EsGXBd4/Vpq1wEc5aqJ0h4iHdP5jQwn5aoJ3WCGeqKjwnVdlCoGKtrOfcKraxl7AWA+VcLMUvGer+lRJFyby+OtG6t443oKlTtEK6uq3DYBHAC2ZHAxLQeF8u3ZPIia7duvz+H6XA4r2Qpmlgr42ku3mvp+oigi6FcPPYADABIRL1RFXGtHLbMvUBv7FMoGTIvjDaLdyhY1OI4Ly3LwwoVFLGcqKJQMvHljFYZpo6pbmFkq4NZyEWXN6siJKxHd20q2gmuzObx8eRlffnEOC6sl5Es6phcLCPoVFMsGDNNG0KfsOgMjEbWv9XnrXoIcNq/x2baLQunw5r2O4+L6XB5XZ7K4PpeDtal6QLao4cpMFvMrJdxYyEPdlAxir5tve3VzIY+FVBkAUNEtvHol1dT3I2qExXQJVd2C67q19fomVZStaCZev5bCS5eWb8v+NZDcuDbDQfWuFTDevJ5GcW2dLZPXcGmmMRV2ZpaKmF4oYCWnYWohv6VfIaL2NbtcxO998TIA4P/xwbMI+JpfPYg6jyAI+NEP1Kpx/PdvT2GeVZypS+1n3gfU9lnym+Z7uaK+JVj+bkRRRPgQ9o0uzWTw5vVVFCoGFlYr+NorswAA23ZweSaD+VQRi6tlOI4LRRbrleXpcK2vI9TOFJhYXgsmbybbdnBxKo2KZuKtG6t48dIy8iVtywHgzXP5qm7j1asru359v1dlAAcRURNtGXe4QKbBlfU0w0KxYsBxXNxaKmApXcVyuoJL05k97X3dWipgNVdFpqBhdrl4x3NzREfZCxeWYBg2TMvB1EIes8uFVjdpzxZXS/j6K3N44cIKvvbyHMrVzjvvGQ9765WERFFAb9y/r9fhCLdJFlIlFCsGJFFEPOyFzyNjuDcEoHbT0Qwb6wVgHMe5Z4b82s2rNrHqiflwbPDe5WN8Hrle3kqWxD2VniKi9nZtNodcUQdQq46xeQN2vzIFDaIAxMIeSKKIVLb5izmN4PPIKFXWBuVC7THRYcuXDJhrhw4s20X2EA9VHTZFlnDf8STKVRNejwyPIkEzLFycysCyHEiSgDPjcfi93MgluhefR0ZVtzC3UkK+aMDnkeH3KhAh4ORoDNfnchjqCUIUBMwsFRALee6YJZeIOle+pMN1XaxkKrAdF5btQDNshAIqBpNBFCo6HNdFsWLiykwWp8ZirLJJ1KGquoVLUxlYtgNZEnH2WBzeXcxhfR65vgYAYFff0ygr2Ur9vQtlA4urZYz01aoObgkmcYFE2ItoyANBEBBs9sFOd/tDBrlRe0vnq1hYqWWk9aoyxgZCTVuvn1oo1BM6za2UEA156nP0/kQA4YAKy3YR8it3HVNsv6oaFUyaL230Z6bloKpbCLVRwhgiup1tO/jV338FhuXgwZM9eObRkVY3idrYgyd78eiZPrx0aRn/6U8v4P/740+0uklEh2rLvE8WcXZ8d/M+AJBEAaoi1qtXeBTp0Cu33UtFM7F5WFiu1JICLq0lKPIoMpLRWvDGxFAEssQzKq3g88jIFjQspMooayZc14VXldG3z4Nlu1HVLRhmbXwfD3kBEQj6VZQq5h2r7zmM5yYiahvbz1o18uxVtqDh+lwOrlurIFaqmhDX1qSqmnXXSrHbaYaDkF+F47qQRaGe4Jiom5iWg3y5VkRAVUQoUnvNGXbj2mwe2tr1WywbmF4s4txEosWt2htVkXB+cuv5uf3gjKlJ7E0ZEdYDOTyqBEWWcGwgDFWVIAjAwyf77hnA4TguljZFxqey1V1lpzoxEkUiUts8PTUWg8QJMtGRUNWtLYc3FlfLtz3nwZM98KxlwOxPBDDWH7rn66qKCHmtBKkii/B0SCaL0f4w+hJ+REMenBiO8uA4tcQDk0lEgipkqXZY6aGTPa1uUlPJkohI0FMfgK7mqrDWMkrZtotUtnq3byeiNYmID15Vgt8r4/hQFJIkwjQdTA5HkYz64PPIG5tcLnaddY2IOkvQp8JF7VB2IuKBIkmIBDx46GQPEhEvYkFvPctcoWzUkzUQUedJZSv1NT3LdpDK7W7cPNQTxEAygGjIg4mhCMKBwzvsvH38sflx0L91/h30KQj51eYHcAAYH4igP1E7fOJRJTx0srfp70l0EEvpSj2AQpIEDPYEm3ag7W7XLQD4vQrCAfWeQaH3TSTqwRXRkAenx+MNad/m7P2SJMCrMlCdqN393l9dwbXZHAJeGf/ohx9iUDnd049/6BxEUcDzF5bw+jVWTKPusmXeZ+1+3gfUqtmcGosjHvYiHvbi1FisWc3ct1MjccTDtQP5iizi4dO1/TB70/kVRRbh98oM4GihoZ4gYmEvIAD9CT/8XgWLq82tjuRRa79zx3EhyyJiQS8kUYSzKepnvH/bXP7U0d5PJSLqJLGwF2MDYURDHgz1Bhsa+LeYLteDQCuahc0zSo8i7WnMcHI0BlWtJTPvTwaRZNUv6kKnx2LweWSoioixvhAiwc67DjzK1uv+MJOXNdL283P7eo0Gtoc2GUgEkCvqMC0HPo+MwZ4gEhEfUrkqhnuDiEd8kEVhV+UsRVGALIr1yb4oCvVoxLtRFQnHh6MH/VGIqM3IkgBBQH2Au1PWvmTUjx98zyQsy4G6y2CMeNiL+yYTmFksQlVEPHK6Mw5ASKKAsf5wq5tBXe7UeAIffudxLGXKiIW8ePRMf6ubdKgUWdr2mAvzRLvVnwxAEAT0J/xYzVYx1BvCueMJiKKAkb4Qbi7kAbdWja9TJ65EdHcDyQBEUYAkChhKBqEqIoZ7QxgbqI1xL06lt1Se4wY4Uefa77h5fVzQCj0xP1bzVWi6DVUR0ZfY2LxLRHxwXaBYMRAOqLUDIodElkW89/ExaIYFVRbvmSSHqNUUeW1zOVGrphsN7pyJthGG+4K4PlvLbhgPexHcZ5WLoF/FR54+Ds2w6gGljXBsMAKfR4ZpOeiN+W7rG4movXznjQX81y9fBQD8Tz/4AJJRX4tbRJ1gpC+E73tyHH/27Sn89hfexK/+v97NNWPqGgfdL/F5ZEyORBvYosYKBz342HtPYTldRtCvYCAZBAD0JQLIFnTopg2PKjW14gPdmygKGBsII1fS6yX2mj3uVmQRp8dj8KoSZleKiAQ8CAfULXOf9bm8YViQOZcnImo7fXF/U+7h28dDp0ZjKFZNOI6L/rU9st168GQPAt7aulJfPLDvdS+iTjbcF8IHgips24Wyx0CodnF+MomyZqFcNdET9WJ8FwnKjyqeAmoSr0fG/Sd6YJo21LUyl7JP3JJlai9OjEYxs1iAC2C0L9R2ZTOJ6PAoci1Aa26lCEkUcWxw5wAGURShqru/SQuCgPsne3ByNAZZEjvyBk/UKrIk4m33DcAwbSiKBKnL7tO9MR+quoV8SUfIr9YPpRDRvQ33BGGYNiqahQdPhbYc0ExGfYgEPXBc90CR+0TU/tYXxk3LXit9u3HNTwxGMLVQgGnbGEgEGdBF1MH64n5ohoVCuRb00Btr/0MtiizivokkjE1rnJslo76WHuZs5MFyomYaGwjDcfPQDRt9cf++9wl2Ixby4qFTvbBspyHXSKOvM0kUMNQTbOhrElFzXJ/N4Vd//xUAwIffOYF3Pzzc4hZRJ/mR7zmFb7w2j5mlIv7wK1fx3PtPt7pJRIdi+7zvKAYzRIIeRLYFJXsUCecn7zx3pMPnUSRMDEawsFqCLIk4Nhhp+nv6vQrOTiRwaiwG03bgUaQdK3jtNgklEREdDWP9YdhObV2sN+ZHNOxFdJ8JgWIhLx4+3dewdS+iTnQU9o79XgVPPzwM07LvOGbsFp332+sgkihAatAFEvKruO94siGvRUSdb72MbjNwkEu0P6IodOTAuBEEQcD4ACviEO2HJIk4MRK749eZpZCou+yUEc/rkXHmWLwFrSGiRhNF4VAOTTRaN891iBrFo0g4PXZ493MmaCGig5pZLOCnP/cdaIaN+yeT+PEPnWt1k6jDRIIe/P0fOI9f+j9exue/fBVvOz/QkWNhor3q1HlfI3Du2H5alXhBkkRInI8QEdEatcHrYlz3om53VPaOJVGAxHOqDOLodK7r4tZSEbmSjoBPwbHBSNdl/ybqZLbtYGqhgLJmIhbyYLSfh6CJiA4iX9Jxa7kIABgfCCPE8pnURkzLwdRCHlXdQjLqY/ZZItq1zfOGaMiDMc4biIg6lu24mFrIo1w1EQ16MNof6uosU0TdrKKZmFoowHYcDPUEkYi0rrIR0WZXb2Xxr/7Dd1GsmDg5GsWn/97jPIhJ+/LOB4fwzdfm8d23lvCrv/8KfukfvovVZqklLNvBzfnaumw87N1SDZmoW2mGhan5Wgbn/kSgI6qFEhEdFQurJaSyVXhVCRNDkR0TfBER3YmmW1sqcfTEuKbYybji1uFSuSqWMxXoho1MXsPiaqnVTSKiPZhPlZApaNANG0vpCtL5aqubRETUsRzHxbXZHKqahapm4dqtXKubRLTF7HIRuaIO3bAxv1JCvqS3uklE1CEWVsv1ecMy5w1ERB1tcbWETH6tT89UkMqxTyfqVjfmawFdmm7j5nwehmm3uklE+Js3F/HPfuvbyJcMHB+O4Gf+xyfh9yqtbhZ1KEEQ8P/8wQcQCaqYWijg//9/vQ7XdVvdLOpCcyul+rrs4moZ2YLW6iYRtdz0QgHFigFNtzG9UEBVt1rdJCKirlCsGJhbLkE3bORLBmYWi61uEhF1mJsL+fo4bmoxD43juI7GII4OZ1nOlsfmtsdE1N62X7O8homI9s91XTjOxiag5ThbHhO1mmnZ2x7zvk9Eu7O9vzBM9h9ERJ1qe5++fX2XiLrH5v7AdWtZwolaxbRs/M4fv4X/7X9/AYZp45HTvfj5//kpBFnllg4oHvbiH3/8UYgC8JUXZ/Gn37rZ6iZRF+K6LNHteE6BiKg12P8S0UFt6Te4ptjxGMTR4RJRHxS59muUJAF9cZY4JOokfXE/RFEAAHgUCYmIt8UtIiLqXJIkonfTWKh/Ux9L1A76EwEIax9Jn0dGNORpbYOIqGP0brqnqYrIeQMRUQfri/shSbU+XZFFJKIsdU7UrQaTgfqfoyEPfB65ha2hbjazWMA//jffxB9/4wYA4MPvnMC/+PEn+JmkhnngRA/+7gfPAgB++wtv4a9fnm1xi6jb9CcCG/uxqoRYmOsqRP2JALC2XxHyqwj6WHmLiOgwRIIe+Ly1uZYgAP0JnvUkor0ZSG6M48IBFQGO4zoaV986nEeRcH4yiapuwatKUGSp1U0ioj0I+lXcP5mEbtrwe2RIEmPriIgOYnwgjJ6oD4IA+L2cqFB7iQQ9uP9EDwzTht+rQGKQERHtUtCn4IETSWgG5w1ERJ3O71Vw/2StT/d5ZMjs04m6Vn8igEjQA9t2EPApEATOEelwabqF//KlK/jC12/AdlyE/Cr+lx95CI+f62910+gI+oF3TyKVreLPvj2FX/svr8IF8J5HRlrdLOoSIe7HEt2mJ+ZDyK/AtB0EvAqTohERHRJJFHD2WAIVzYSqSPAoPOtJRHvTG/Mj7FdhcU3xSGAQxxEgSyJCLGdM1LFURYLKQTkRUcMwypzamYeLcUS0T4rMxA1EREcF+3QiWsdKB9QKjuPiG6/O4Xf/4hJWslUAwJPnB/D3f+A8EhFWiKLmEAQB/+PfOo+KbuGrL83iV37vFazmqvihZ07wwAkdCu7HEt3O65HBujRERIdPEgWe9SSiA/FyTfHI4G/yEGi6hULFgN8jI8gbMBG1mOu6yBQ0uC4QD3uZVYOowdavMQCIhXiNEdGdGaaNXEmHV5URDnCeQNTtOIYgIrq3XFGHYdmIh72sYEHUJLbtIFPQIUsCYmEe6SI6SlzXxYuXlvG7//0SphcLAIDemA9//wfuZ/UNOhSiKOAf/fBDCAdUfOHrN/Cf//slXJrO4H/5kYe5NkbUwaq6hWLFQMCrMMkW1ZmWg2xRgypLiIY8rW4OEREdIVwjJgKyRQ2m5fA6OAIYxNFkmm7hrZtpOI4LCMCJ4ehdNz6W0mUUKwZCfhX9icAhtpSIusWN+Twy+drhsNVcFafH4/t+rVS2ilxJQ8CrYCAZYLYkIgDX53LIFnQAQDhYxemxOKq6hflUCaIgYKg3yCz8RATDtPHWzTQsywEADPYEYFoObMfFYDIAv5ebXUTdwnVdLKyWcXk6A9d1EQ546mMIIiLaMLdSxEKqDABYXC3jvokEpLXNCdNyMLdShG276E8GEOTBIaJ9cRwXF6czqGoWAKA/4cdof7ihrz+fKkEzLCQjPgaJEB0S07Lx9Vfm8cffuFEP3gh4ZXz0PSfw4XdOMHsjHSpRFPATH74Pg8kAfvuP38KLF5fxqV/6Kn7iQ+fw9MPD3GciuoNC2cBKpgJFFjHUG2ybg1rlqolL05n6eZhTozFEgjyw3+0s28HFm2nopg0AGO4NYrAnuONzDdPGfKrEvREiItqVmcUC3ryxCst20BcP4PGzffU1YqJuMbtcxOJqba9kKV3GuYkkJCYHbInVXBXZ4sHOznJVrslyJb02YQUAF0gXtDtuTKSyVdxaKgIAsgUdsiQiGWXZYiJqnM3ZfYHagp9p2VDkvR8ozxV1TC3kAdT6LEEQMJBk8Bl1N8dx6wEcAFAoGTBMG5enMzDXDmqXNRPnjydb1UQiahPFilEP4ACA16+l0BP1A6jdnx880cMs/ERdYmG1jLlNi23rm/CW7bTNhjwRUTtI5zfWM3TDRlmz6hmbb8zlUCgbAIB8WccDJ3rYhxLtQ1W36gEcQO26a2QQx9xKEUvpCgAgW9Rx7liC2ZqJmmgpXcZXXpzFF787jWyxtmbpVSV88B3H8IPPnEDIz8oH1Drf+/ZjODUWxy/9Hy9hbqWE/9/vvYK//O4Mfuz7zuDssUSrm0fUVgzTxtVb2fq5E8OycWIk1uJW1WSL2pbzMJmCxiAOQrlq1gM4gNo5qTsFcVybzaFcNQHU9lUfONnDQ4hERHRHF6bSyK3Nb8vVPE6ORJHg+VrqMpvPfmq6jYpmco2nBfIlHTfnN87OQgAGkzuPee+GQRxN5tuWvWb7480qurn1sWYC4E2GiBpHEAT4VBlVvbYZK8siJHF/hxp27rOIupsoCvCoEnSjtjCpyCJc160HcACoX39E1N28qgwIANb3t9yNr1mWA9N24BFZtYeoG1Q0E4IgQJFFmJYD3bQRCXq4WUlEtI3PI9fnWutzr3WVTYfObduFYdoM4iDaB1WRIIpC/SCez9vYLaTK5jURt7ZGwiAOosbSDAvfeWMRX37hFt68sVr/+0TEiw89NYH3PznOilXUNiaGIviN//Xd+KO/voHPf/kqLtxM4//zm9/Cgyd78NF3T+IBJjkhAgBohr0RKIH22mfay3kY6h4eVYIgbOx7+NQ7fy42f54t24Fp2ZDu8nwiIupu7uZNddS32om6ym17JQrPlbTC5n2pnR7vFke+TRYJejA+GEauqMPvlTF4lyz18bAXK5kKXBcQBDS1lPirV1Ywt1JEJOjB284PQpW5qUnUCQoVAy+8tQjNsHF6LIbJfWRZOTEaxdxKCXCBwZ7AvhfAo0EPFlLlennceBP7LKJOcmosVr/GhnqD8Kgygn4FpUot0Cke6o5rxbIcvHBxCel8FX2JAB4/29/qJhG1lYBPweRwFKu5KjyqhGjIU88aEvQrdxyfFyoGvvvmAgzTwenxGCaH2yPjGhHVVDQD33ljCVXdxMmROE6N3/sajYe9yBZ0DPUEkS3qGO4NYWIosq9yq0RER9nEUASzy0WYloO+uH/LxkQ8UltXBWqHzr1NPvAxtZDHhZtpKLKIt903wEyzdGQosohTYzEsrpahyCKGe0MNff142ItCqVY1R5bEejWdO+E+BtHuuK6LS9MZfOXFWXzztfn6YUhBAB6Y7MF7Hx/F2+8fhMJriNqQIkv42HtP4t2PDOO/fvkqvvzCLbx2NYXXrqYwkAzgA28bw1MPDqE35m91U+kI0AwLf/PGIkpVA+ODkY6pmh7wyvAoUr2yQayN9pkSER9My0GhbCDoU9AX57W6H5em07g+m0PAp+Bt9/XD7+3sTMpeVcbJ0RiWMxWoioTh3jtnJI6HvVjNVQHU9k14CJGIjoJcUcPzF5ZgWg7OTSRwbDDS6iYdGeeOJfDmjTRs20Fv3I9YiOuy1H2275WoHTh+MiwH331zAfmSjqHeEB4+1dvqJu1ZJKhiPrWREGm/Z2cZxHEIemP+XS0shfwqzh5LoFQ1EfIr8HubkwlnfZMRAPIlAx5lGU/cN9CU9yKixvqbNxaQytYWMb57YQnJqA/RPS7UeVUZk8PRA7fF71VwbiKBQtlAwCsjyLJcRAB2vsZOjcWRzlchCgISkfZZXG+mt26u1svG5UsGIn7Prg6yEnWTeNhbn8i5rotMQYPtuEhEfHc8vP3t1xaQztfGAs+/tYTeeABh3oOJ2sZ33ljCUroMAHjx8hKSMS8SkbtX2ExEfFAVCRXNQiSgwsuMhUREO5Il8Y4bnuMDYYT8CmzbRTzibWrG5lLFwHfeWKhnFP3Wa/P44FMTTXs/osMW8qsIjTZnjtEbqwVgaYaNSFC96wYj9zGI7m0pXcY3X5vHV168hflUuf73/Qk/nn1sFM88OsKD79QxemN+/OTffhB/+9mT+MJfX8dXX57F4moZ/+nPLuI//dlFTA5H8PDpPpwZj+P0WIx7UrQvL1xYwnyqBAB4/WoKyYgXA8k7Hy5vF5Ik4uxEAtmCBkUWm5oMdD/6EwH0J+6czJTuLpWt4OVLKwBq497n31rGex4daXGrDi4S9Owq4cGxwTAiQbW2NxL2MrENER0J33p9oZ687ztvLKAv7uv4AL12MT4YQSTogWk5iIW9kFiNmbrQ3fZKOsVrV1dwa6kIAMiX0oiFPB33M20+O+v3ygjtc52CJwPaTMCnNL18eKPKuBDR4dtSHtetPY42NiHenvg8MsviEu2CJApdt2G6fXxR1s0WtYSoMwiCcM+D3gBQ1TauJdcFKlWTQRxEbaS6+X7n1u6HiV2sN4X86r4XdoiIqGY3Y6lGqOpWPYADACo611aJ9iIS9GA323HcxyDa2XKmgr95cxHfem0eV25l63/vUSW84/5BvPfxUZw7lmhqQCNRM/XF/fj7H70fP/bBs/jGq3P461fmcPFmGtfn8rg+l68/LxryYKgniJ6ob+2gsFr7b0BFKKAiHFARDngQ9Cm8Hqjutn2LaufsWyiyiF5WuTiSytrWz2FF65zPZSPsdm+EiKiTbD7b5a7tFTGIo3HaLaCViPZu+1ysVDFa1JKDacTZWZ687UJj/SFcnEpDN2wIAjA5Em11k4hol06MxPDqlVomjljIg54oF+uIqD0dH45iZqkA23ahyhImBsOtbhLRkXBiNIrXr60CAOIRL5Lc3CBqK5Mj0XrmvEhQRR+zEBIRHTmJiBfJqA+ruVp1tBNcWyVqiu37GLzWqBvZtoP5VAlTCwVcnErjtaspLKxuVNwQBeD8ZBJPPzSMdzwwCL+3uUniiA6TzyPj/W8bx/vfNo5cUceLF5fw1s00Lk1nsLhaRq6o17Mb340oAMG1xAnhwMb/oiEPklFf7X+R2n9DfoUZ4I+4k6MxrOargAv4fQqG+1qYKY9ozWAigJBfRbFiAAJwYpRV7YmIOt3kcLReXTQZ9SHOoAMioi1ODEexkCrBdWuJSTqtCkcjMYijCwX9Kj74jgmkshVEgiqiIQ4UiDrFuYkE+uI+VHUbA4kAZJll4YioPfXF/fjgUxPI5jX0xLzMLEHUIOcne9CfCEAzOBYgakdnxhPoidbG632JAFReo0RER44oinjvY6NYTJfhVSX0dFnVRaLDwn0MOups20GupCNb0JEpasgWNKzmNKTzVazmqljNV7GcrsCwnC3fJ4oCzozH8dQDg3jH/YPMQEpdIRry4H1PjOF9T4wBqGWpX0iVMZ8qIZ3XUCjryJV05EsGimUDhbKBQllHWbPguFh7bGA+dff3URUJQz0BjPSFMNoXwkhfCMcGI+hP+BnccURMDEUQC3lQKBsYSPihqjwuQ62nqjK+98kxLKYrCPoVVqUgIjoCHjrVi8GeIAyztp8ritwrIiLabLgvhO9/agK5oo6emB9+b/fOzbr3J+9yfq+MsQFmxCbqRElW3yCiDhH2qwj7GbxB1Gg8KEjU3jheJyI6+mRZxAiz9hI1HfcxqNPZtoMrt7JYXC1jYbWMhVQJi+ky0jkN+bIO1733a3jXshEeH47gwRM9OD+ZZMUN6np+r4LJkSgm71GlybKdWlBHxagHchTKBgolHdmiXg+YWs1VkS8ZMEwbUwsFTC0UtrxOyK9gcjiKE6MxnBiJ4sx4HJGgp4k/ITVTLOxlABy1HVXluJeI6Kjpi3OviIjobiJBD+fWYBAHEREREREREREREREREVFD/cZ/fQ1ffWn2jl8XRQHRoAfxsAexsBfJiA+JaO2/yYgPPXEf+uMBiCIrABDthyyJuz6wb5g2VnNVzK2UMLtcxK21/00vFFCsmHj1agqvXq2V8vCqEn7jf30PBpKBZv8IRERERERERHSEMYiDiIiIiIiIiIiIiIiIiKiBJoYiuDydQU/Mh8FkEAPJAAaTAfTE/IiFPQgHPJAYoEHUFlRFwmBPEIM9QTx+rr/+96blYGaxgGuzWVybzeHabA6248CjSi1sLREREREREREdBQziaDLXdTG9WEC2qMPvlTE5HIUsia1uFhERgFop6RtzOZQ1C7GQB+MDYQgCN42IiO5k89gu4JVxnGM76jIVzcSN+Twsy8FAMoD+BDMOEjVCVbdwYy4Hk9cWEdGBccxO1HqabuHGfB66aaM/4cdgMtjqJhG1xEfedRwfedfxVjeDiA5AkUVMjkQxORLF97a6MdSVVrIVzK+UIEsiJoYiCPiUVjeJuozjuLi5kEehbCDkVzAxFGUQKhERHUihbGBqIQ/XdTHaH0Z8F5XziGgDz2wcLdy9arJMQUMqW4VlOSiUDMyvlFrdJCKiuoVUCfmSActykMpWsZrTWt0kIqK2lspV62O7fMnAQopjO+ou04sFVDULpuXg1lIRVd1qdZOIjoSphTwqm66tima2uklERB1rNadtGbPPc8xOdOimlwooV01YloO55RLKVY5tiIiIiPZKN21MLxZgWg6quoWb8/lWN4m60HKmgkxeg2U5yBZ0LKfLrW4SERF1uOtzOeiGDcOsJR62bafVTSLqKFMLPLNxlLASR5NZtrvtcXfedAoVA5dupiGKAs5PJuFV+dGj7nThZhqFko7RgTCGelqfgc523G2Pu7OPIqLOMrtcxNxyEdGwB2fGE4f63s5t/aZ7h2dSN8qXdFyazkCWBNx/PAn1CI557W3zGy6qETXG+rU1nyqhWDYQ8Mk4N5FscauIiDrT9rWN7eOXRsgVNVyeyUJVJNx3PAlVZq4kos22X3fN2he5eiuLdK6KgZ4AxgciTXkPIiKiTjO3XMRsi9bPqbFs2wE2Dau69axJtzMMC2/cWIVluzgzHkck6DnU99/+uePnkIioc1U0A2/dzAAA7ptIwu9tzV725v1l1wUc14XUkpYQdSbDtHFjPgfTcjCYDPDMRodr+ami6elp/NN/+k+RzWYRCoXwC7/wC5icnNzyHMdx8Eu/9Ev45je/Ccuy8PDDD+Nf/st/CVVVAQC/8zu/gy984QtwHAfHjh3Dz//8zyMcDgMAXn/9dfz0T/80NE1Df38/fumXfgm9vb2H9vMlIl4sZ8rQdBuSJHRl6RrLcvDl786gshbxlc5r+MCT461tFFELvHplBRdupgEANxfyeP/bxpCM+lvapr64H9mCDst24FElJCK+lraHiOheFldL+Pqrc7WNi3nAcYBzE4e3EZWI+LCcqUA3bMiSiL54a/txah+G5eDLL8ygqtsAahX5vueJ8dY2qgkGewK4OZ+H6wLRkAcBn9LqJhEdCYM9AXz9lTlcm83Bq0p45fIKIgEPhvtCrW4aEVHHSUR8WMlWoOm1MXt/orFjds2w8Fcv3IJh1MZ9+aKO9zw60tD3IOp0g8kArs/l4LpAOKgiHFAb/h5XprN48dISAODGfB6SKGKEYyciIupyy5kK/nrT+rllOTg/2dPqZtE++b0K4hEvMnkNEICh3tYnCKTD99evzmElUwUAzK8U8aF3TR5qIoHeuB/pfBWG6UCRRfTGuC9GRNSpvvTCLIplAwCwuFrGR951vCXtGOoNYm65Vj25L+6HIjOEg2gv5lNFzC4V4QIoVUw8eX6w1U2iA2h5EMdP//RP42Mf+xg++tGP4i//8i/x6U9/Gp///Oe3POcP//APceXKFfy3//bfoCgKPv3pT+M//+f/jE984hP49re/jT/+4z/Gf/kv/wXBYBC/+Zu/iV/91V/FZz7zGbiui5/6qZ/CZz/7WTzxxBP4D//hP+AXfuEX8Cu/8iuH9vPJkoj7JpLQDAuqIkGWui8rW8Ww6gEcAJDOV1vYGqLW2fzZd10glau2PIjD71Vw/4kkDNOGR5UhiUJL20NEdC8r2eqWzFMr2QrO4fCCOBRZxH3Hk9C7eGxHO6tUjXoAB1ALXD6KEhEfQn4Vlu3A55EhCBw7EDVCIuJDNORBb8wHWRIhCAJSuSqDOIiI9kGRRZybaN6YvVg26gEcALDKtU6i28TCXjx4sgem1bx5QypX2fa4yiAOIiLqeivZypb181SOY9VONzkcRSVpQpJEeBQecOxGm/caqrqNcsWAGvYe2vt7FAnnjyehmzY8igSJ+2JERB3JMKx6AAewtsZpOS2pMDyYDCIe9sJ1AZ+n5ceXiTqOYTjoi/vhuIAsCSiUdSbf7GAt7QXT6TQuXryI//gf/yMA4P3vfz9+9md/FnNzcxgeHq4/7/Lly3jyySfrlTeefvpp/OZv/iY+8YlP4PLly3jkkUcQDNayDrz73e/Gj/3Yj+Ezn/kM3nzzTaiqiieeeAIA8MM//MN4+9vfDtM0oSj7+9C6rotKpXLvJ+7A0E0Y937a0WM5UGWgXDUBAD0x377/DYk6WV/cj6V07bMvCEB/vD0q88iSyEPIRNQx+hMBvHljtb4R1eisurshiQL8Xk6AaKugT4Xfp6CyPuZtcaBmM6mKBJUbhkQNN9oXwkKqXHsgtOYeR0R0VDRzzB4JqPB5pHoAb2+MVU2JdqLIUlMzKfYn/ZheLNQeCMAAx05EREQYSPjxhlBLJgcAfW2yF0kHw/2I7tYX99fXDP0+BSF/46vc3YskifDzPAERUUdTVRnRkAe5og4AiIU8LQngWOdVGbxBtF+9CT8qugUJgKpKiB1igC81Xkt7w8XFRfT29kKWa80QBAEDAwNYXFzcEsRx/vx5fP7zn8dzzz0HVVXx53/+55ifnwcA3Hffffj85z+P1dVVJBIJ/Mmf/AnK5TJyuRwWFxcxOLhRKiYYDCIQCCCVSm35+70wTROXLl06wE/dnYaDDm5pOiRRQI+q49KlQqubRHTozk/2wOeRkS3qGO0P8wZKRLQPfXE/nn10BHMrJSQiPkwMRVrdJCIAgCyL+MDbRnF5JgdFEnBm/PAqxBDR0TA5EoMkiVjNVTHYE8RAMtjqJhER0Q5UVcb73jaOqzMZeFQZZ8birW4SUVeaHI5BlkSkshw7ERERrUtG/Xj2sVHMLhcRC3swORxrdZOI6IDe9eAwLk2nYdouTo9FIbfwwC0REXW29z4+iktTGQDAmWNc0yTqVG8/P4BYyIuqbuLESIxBUR2u5b+97WW0Xde97Tl/62/9LczPz+PjH/84fD4f3v72t+P5558HADzxxBP4e3/v7+GTn/wkZFnG+973PgDYEhhyr9ffC0VRMDk5eaDX6FYPtroBRA1w0CCuyREulhIRHdRAkoczqD35vSoePtXb6mYQUQc7NhjBsUEGKBIRtbuwX8WjZ/pb3Qyirjc+EMH4AMdOREREm/UnAuhPsAIH0VEhyyLOT/a0uhlERHQEeFUZD3Evm6jjiaKIcxNMKnpUtDSIY2BgAEtLS7AsC7Isw3VdLC0tYWBgYMvzBEHAT/7kT+Inf/InAQB//ud/juPHj9e//txzz+G5554DALz22mvo7+9HMBjEwMBAvWIHAJRKJZTLZfT07H+CIwgC/H6W5SYiIiIiIiIiIiIiIiIiIiIiIiIiIiIior1paZ29RCKBs2fP4k/+5E8AAF/84hcxNDSE4eHhLc/TdR2FQgEAkMlk8LnPfQ6f+MQn6l9fWVkBAFSrVfzGb/xG/Wv33XcfdF2vV+34/Oc/j/e+971QFKXpPxsREREREREREREREREREREREREREREREdFmguu6bisbcPPmTfyzf/bPkMvlEAgE8K//9b/GiRMn8OlPfxrPPPMMnn32WayuruLjH/84JEmCbdv4u3/379YrbwDAhz70ITiOA9M08eEPfxif+tSnIAgCAODVV1/FZz7zGei6jt7eXvzyL/8y+vr69tXWl19+uSE/MxERERERERERERERERERERERERERERERHT2PPPLIXb/e8iCOTrIexKGqaotbQkStYhgGAPYDRN2M/QARAewLiIj9ABGxHyCiGvYFRMR+gIjYDxARwL6AiNgPEBH7ASKqWe8L7hXEIR9GY46K9Y71/PnzLW4JEbXKyy+/DFVV2Q8QdTH2A0QEsC8gIvYDRMR+gIhq2BcQEfsBImI/QEQA+wIiYj9AROwHiKjmzTff3NXzxCa3g4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiMAgjkNhmDbS+SoqmnnH55SqJtL5KkzLPsSWERF1h4pm4fpsFkvpcqubQkdYoWLg+mwW6Xy11U0hojbiOA5uzucxvZhvdVOIqE3NLhdxfS4Lw3Ja3RQioh3lSzquz2aRLWitbgoR7UNFq61XLGcqrW4KEXUArnESERF1j/lUCddnszAMq9VNISKiBknnq7g+m0WhYrS6KUTURHPLRY7jjgi51Q04qN/8zd/Ev/k3/wZ/+qd/ipMnT9729T/4gz/Ab//2b8NxHDz55JP4zGc+A1k+vB9bMyxcvJmBZTuAAJwciSEa8mx5TjpfxY252qEuRRZx3/EEFFk6tDYSER1lFc3CX3znJqp6LUjukTO9ODOeaHGr6KjJFjR88fkZWJYDQQCefmgYw32hVjeLiNrAV1+axVK6dljq1lIR73pouMUtIqJ28uLFJVyZyQIALk9n8YG3jUOWmW+DiNpHOl/FXz0/A9t2IQjAM4+OYCAZbHWziGiXKpqBP//2NHTDBgTgbef6MTkSa3WziKhNcY2TiIioe7x2dQVv3UgDAC7czOB733EMKtcliYg62uxyEd94dQ6uC8iyiPc/MYZY2NvqZhFRg716ZQUXbq6N46Yy+N63cxzXyTr6N3fhwgW89tprGBwc3PHrs7Oz+PVf/3X83u/9Hr70pS8hlUrhD//wDw+1jbmiXgvgAAAXWN0hc00qt/F3puUgX2IkJBFRoyysFusBHAAwvVBsYWvoqJpeLMBay57turXHREQVzagHcADAreUiHIeZ9olow+YxQ66oI1dilnsiai9TC3nYtgugNteZWuBch6iTzK2UawEcAOACNxdYIZCI7mxmiWucRERE3WLzfb5YMZDKsnIfEVGnm1rIw60t5cKyHMwscU5HdBRNbR7HlQ2kcxzHdbKODeIwDAP/6l/9K3zmM5+BIAg7PueLX/wi3ve+9yGZTEIQBDz33HP48z//80Ntp1eVtz2+vcLGbp5DRET7Ewl4gE23iZBfaV1j6MgKBbZ+roL8nBERAFWWoW6qsOf3KhDFjp2CEVETBH1q/c+SJMDv7fiCqUR0xESDWysKc05N1Fm2X7OhTWMPIqLtwoGt932ucRIRER1dQd/GfV4Qtj4mIqLOFPJvXffZPscjoqMh6NvYTxYEIODnmm8n69jTAb/+67+OD3/4wxgZGbnjcxYXF7dU6RgaGsLCwsKB3td1XVQqu49cUiWgN6ogV9Th88iI+sXbvj8ZkqBVBWiGjXjECxEWKhXrQO0kIqKanpgfbzvXj+tzeQR9Ch4/29fqJtERNDkcQ7lqYXG1jHjEi/snk61uEhG1AVkW8Z5Hh/Hq1RWIgohHz/S2uklE1Gbe+eAgXry4DMOyce5YAn4vF9mIqL1MjsRQqppYSleQiHhxbiLR6iYR0R4MJIN47Ew/phbzCAdUPHK2v9VNIqI2NjEUQbFicI2TiIioC7z9/iG8eHERmmHj1FgMkSAP+hIRdbrzx5MwbQeZvIaBZAATQ5FWN4mImuCpBwbx/IVlGKaN02NxhBnE0dE6Mojj1VdfxZtvvomf+qmfuudzN1fpcNfrRR2AaZq4dOnSvr63VAauZO7+nFQZSB0szoSIiLaZHIlhciTW6mbQEffAiR48cKKn1c0gojbTE/Pje54Yb3UziKhNBf0q3vPonZNTEBG1gwdPMhCVqJOdGo/h1DjXxYhod7jGSURE1B38XhlPP8x1SSKio0SWRTzOBB5ER57fq+I9j3Acd1R0ZBDHiy++iJs3b+LZZ58FACwtLeEnfuIn8NnPfhZPP/10/XkDAwOYn5+vP15YWNhSmWM/FEXB5OTkgV6DiDrXfoO4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiDoyiOOTn/wkPvnJT9YfP/PMM/h3/+7f4eTJk1ue9/73vx/PPfccPvWpTyGRSOD3f//38X3f930Hem9BEOD3+w/0GkRERERERERERERERERERETUnqYW8vjSC7cwtZAHAIwPhPHuh4dxaize4pYRERERERHRUdCRQRx38+lPfxrPPPMMnn32WYyMjOAf/sN/iOeeew6O4+Btb3sbfuiHfqjVTSQiIiIiIiIiIiIiIiIiIiKiNmPZDv73P7uIP/7GjS1//9aNNP7sW1N4+/0D+NQPPYhwQG1RC4mIiIiIiOgoOBJBHF/96lfrf/65n/u5LV/72Mc+ho997GOH3SQiIiIiIiIiIiIiIiIiIiIi6hCO4+LXfv9VfP3VOQDAUw8M4vFz/QCA166m8PVX5vCdNxYxu1zEZ/+ndyAe9rayuURERERERNTBjkQQBxERERERERERERERERERERHRfv3BV6/i66/OQRIF/OP/4VG84/7B+tfe88gIPvTOCXz2Pz6P2eUS/rf/9AJ+/lPvgCJLLWwxERERERERdSqx1Q0gIiIiIiIiIiIiIiIiIiIiImqVqYU8fv+LVwAAn/qhB7YEcKybHI7i5//npxD0KbhyK4v/8y8vH3YziYiIiIiI6IhgEAcRERERERERERERERERERERda3/9KcXYDsunjw/gPc+PnrH5w0kA/iHP/wQAOALX7+B2eXiYTWRiIiIiIiIjhAGcRARERERERERERERERERERFRV3r9agqvXk1BlgT8+IfOQRCEuz7/yfMDeOxsH2zHxf/5RVbjICIiIiIior1jEAcRERERERERERERERERERERdaU/+OpVAMAHnhxHfyKwq+/5H773DADgb95YwMJqqWltIyIiIiIioqOJQRxERERERERERERERERERERE1HVmlgp4/doqRAH4gXdP7vr7jg1G8MjpXjgu8GffmmpiC4mIiIiIiOgoYhAHEREREREREREREREREREREXWd9QCMJ+4bQG/Mv6fv/f6nJgAAX39lDqblNLxtREREREREdHQxiIOIiIiIiIiIiIiIiIiIiIiIuopu2vj6K3MAgO9/6tiev/+hkz2IhTwolA28fHm50c0jIiIiIiKiI4xBHERERERERERERERERERERETUVV68uISqbqEn5sN9E8k9f78kiXj64WEAwLdfX2h084iIiIiIiOgIYxAHEREREREREREREREREREREXWVv365VoXj6YeGIYrCvl7jbfcNAABevLQMy3Ya1jYiIiIiIiI62hjEQURERERERERERERERERERERdo1gx8PLlZQDAu9eqaezH6fE4wgEV5aqJi1PpRjWPiIiIiIiIjjgGcTRAVbegm/Y9n+e6LiqaCdO693OJiNqVadmoaCZc193x645T6+uYaYYIsG0HFc2E7ex8vRz19yeiDfu9P+qmjapuNalVRNQqpuXcdUzNezgR3UtFM2HsYj2y2dhfEbU3TbegGQefTxjm3dcDiahz7HZPcz+stXGBw3EBEXWIFy4swbJdjA+EMTYQ3vfrSKKAx872AQBeurTSqOYRNdRuzitxn5+IqLvs9SyrwX3rrsfzz+1jfb2WOp/c6gZ0uqmFPFLZKiAAY/1h9MX9Oz7PdV1cvZVFvmRAEIDjw1HEw95Dbi0R0cFkChpuzOXgukAkqOLkaAyCsFFa2LYdXJzOoKpZkCQBp8biCPqUFraYqHU0w8KlqQxMy4GqiDhzLAGPIh3e++sWLk3X3t+jSDhzLA71EN+fiDbs9/64kqlgeqkAuEAi4sXx4WjzG0tETZcv6bg2m4PjuAj5VZwai0EUN8bUrR5DEFF7c10X1+dyyBZ0QACOD0WQiPha0pbNcw5VEXH2WIJzDqI2MrNYwHKmAgAY6QthIBnY1+uk81XcnM/DdYFoyIMTI9Et64FE1Dnqe5oARvtD6E/sr1/YSblq4vJMBrbtwueRceZYHLLEXIJE1N5evFSrwvHEff0Hfq0HT/TgKy/O4s3rqQO/FlGj7ea8kmU7uLRpH+P0WBwB7vMTER1Z2+8Nk8NRxO5ylnUlW8H0Ym3fOh7xYpL71l3HdV1cuZVFYZefGWqedL6KG/N5gOu1RwJXzw5AM6z6YidcYG6leMfnFism8iWj9lQXmE+VDqOJREQNNZ8qYT3hXr5koFjZGtGZLmioarWoa9t2sbjKvo6610qmAtOqZaoxTAcrawcnDstyduP9ddPGSvZw35+INuz3/jiXKgFr9910XmNmE6IjYj5VqmemLVYM5Mv6lq+3egxBRO2trFm1AA5gbT2ydfPuzXMOw3Q45yBqI6Zl1wM4gIPtR2xeD8wVdZSrzPBG1Im27Gmi8fuUi+kybLvWWVR1C+m81tDXJyJqNMt28OqVWtWMR8/0Hfj1zk8mAQA35/MocbxEbWY355Uy+W37GOnyobaRiIgO1/Z7w9w95ojzKxv71pm8xgoAXahQNlDg+ee2ML/pHAnXazsfgzgOQBIFYFMAkyze+Z9TlrZGOt3tuURE7Wp733Vb3yZt/zr7Ouperb4eWv3+RLRhv9fjlvussDb/IKKOd68+gfdwIrobWbz7PPwwsb8ial+iIGBz8jXxAHMJadt6oMRrnagjSaK46z3N/bh9XMA1DCJqb5emM6hoFsIBFSdGYgd+vUTEh8FkAI4LXLyZbkALiRpnN+eVpG3P4X4EEdHRtv3eoNxjvWfLnE/gWnA34n5A++B67dHC394BKLKEicEIFFmE1yPh+HDkjs/1exWM9IUgyyL8Xhnjg+FDbCkRUWOMD4bh98qQZREjfSH4vVtLqMbDXvTF/ZBlEeGAiuHeYItaStR6fYkAYmEPZEmsXxuHqT8RQDTkgSyLiEe86I0d7vsT0Yb93h8nhqLweWQosohjAxGoitTklhLRYRjtDyHgUyDLIgZ7Agj51S1fb/UYgojam9cjY7Q/BEUW4fPKONbCNcb6nEPinIOo3UiSiImhCFRFhEeVMDkc3fdrHRsMw7e2HjjaH4LPIzeuoUR0aBRZ3LKnOXGXPc39GOoJIhxUIcsiemI+xMPehr4+EVGjvXRxGQDw8Onehh1WX6/G8eaN1Ya8HlGj7Oa8UiLiQ+/6PkZQxXBvqAUtJSKiw+L3KhjuC9bvDWMDd19nPjYUqe9bjw+EuW/dhQK+rZ+Z8Xt8Zqh51tdrFa7XHgn87R1QMupDMurb1XMHkgEMJANNbhERUfP4PDLuO56863PGBsL3HNwTdQNJFBqSvekg739ytHXvT0Rb7ef+GPQp9Y0/Ijo6vKqMcxOJO3691WMIImp//YkA+hOtX2PknIOovSUiPiQiu9u7uBu/V8H5e6wHElFn2Mue5l4psojTY/GmvDYRUTO8dLkWxPHYmb6GveZ9x5P44ndncIGVOKgN7ea80vhAmAcyiYi6yGAyiMHk7pIPct+agL19Zqh5uF57tLASBxEREREREREREREREREREREdeSuZCm4tFSEKwMOnehv2uqfHakHuUwsFmJbdsNclIiIiIiKio4lBHERERERERERERERERERERER05L14qVaF4/R4HEG/2rDX7Yv7EfKrsGwHUwuFhr0uERERERERHU0M4iAiIiIiIiIiIiIiIiIiIiKiI++ltSCOR8/0NfR1BUHAydEoAODarWxDX5uIiIiIiIiOHgZxEBEREREREREREREREREREdGRpps23ri+CqDxQRwAcHI0BgC4Optr+GsTERERERHR0SK3ugFHhW07WMpU4Dgu+uJ+qIrU6iYREXUM23GxnC7Dsh30JQLwsA8lappUtoqKbiIa9CAS9LS6OUS0B9mChkLFQNivIhb2tro5RNRkm8fIvXE/vCqXcIio9SzbweJqGQDQnwhAkZkjiIgOl6ZbWMlWIMsi+uMBiKLQ6iYRda2KZiKVq8KjSOiL+yEIvB6JqP29eX0VhmkjGfFifCDc8NdfD+K4MsNKHNQZShUD6YIGnyqjN+5vdXOIiKiFckUd+bKOoE9BIuJrdXOI6A4cx8VypgLTstET88Pn4R5yJ+Nvr0GuzeVQKBkAgExBw/njSW4eEBHt0o25HHJFHcBaHzrZA4l9KFHDLWcqmFks1P98djyOoF9tcauIaDeyBQ3X1rK3LacrODEaRSzEQA6io+zmfA7ZQm2MnM5ruH8yCUniYWkiaq0rM1mUqyYAIFfScf54ssUtIqJuYtkOLk5nYFkOAKCiWZgcjra2UURdyjBtXJrOwLZdAIBm2E05DE1E1GgvXVoGADx6tr8pwWcnRqIAgIXVEqq6xQNV1NaquoVL0xm4tds5LNvBYE+wtY0iIqKWKJQNXL1VC0JdBuA4QE+MgRxE7Wh6sYDVXBUAsJrTcH4yyYRbHYy/uQYplo36n3XDhmHZLWwNEVFnKVY2+lDDdKAbVgtbQ3R0bR6vwAVKa4eviKj9FTbdK4Ft1zMRHUnF8sZ92rQc6CbXGYiotWzHrQdwAEBVs2DZTgtbRETdRjPsegAHwHkRUStVdasewAFsXeMnImpXruvixfUgjtO9TXmPSNCDeNgD1wVuLRWa8h5EjVKqmPUADuD2fQgiIuoepW33gFKV9wSidrV5TdSyHWg8Z9nRGMTRIKHARhZrjypBlaUWtoaIqLOEN/WhqiLCozIrDVEzbL7WIIBVOIg6SHjb9RoOeFrUEiI6LKGAUv8zx8hE1A4kUUDAt9E3+b0yZFYIIqJD5FWlLVnltqxzENGh8ntlSNJGBvvt6xZERO1obqWElUwFiizigRM9TXuf8YEIgFqGXKJ2FvQrEEXez4mIaO3syKYiZSHeE4jaVji4cX3Kssjqfx2Ov70GOTESw3K6DNtx0Z/wb5noEBHR3U0MRbHiq8CyHfTF/ZDYhxI1RW/cD0kSUNEsRIIeBDcdwCKi9hYLe3FiNIpi2UA44EE0xCAOoqPu+FAUy2tj5F6OkYmoTZwai2E5UwEA9MX9LW4NEXUbWRJx5lgcqWwViiyiN8Z+iKhVFFnC2WMJrOZq1yPHBUTUCV68WKvCcf54Et4mHnQaHwjjlSsrmF5gEAe1N59HxunxOLIFDR5V4viaiKiLhQMqTo3GkC/pCPpVxMPeVjeJiO5grD8Mn0eGaTnoifqYbKvDMYijQSRRwGBPsNXNICLqSJIoYCAZaHUziLpCIuJDItLqVhDRfsRCXsRCXDAj6hYix8hE1IZkScQQ10CJqIW8qoyRvlCrm0FEqB385PVIRJ3k5cu1II5HzvQ29X3GB8MAgClW4qAOEPQpTPpGREQAgEjQg0iQiQSJ2p0oCuhPcA/5qGAIDhEREREREREREREREREREREdSeWqiQs30wCAR8/0NfW9xgdqQRzTC3m4rtvU9yIiIiIiIqLOxSAOIiIiIiIiIiIiIiIiIiIiIjqSXruagu24GOoJYDDZ3OqCw70hSKKAsmYhlas29b2IiIiIiIioczGIg4iIiIiIiIiIiIiIiIiIiIiOpBcuLgEAHjvb3/T3UmQRI30hAMD0YqHp70dERERERESdSW51Aw7ix3/8x5FKpSCKIgKBAP7Fv/gXOHPmzJbnuK6LX/zFX8Q3vvENiKKIaDSKz372sxgbG2tRq4mIiIiIiIiIiIiIiIiIiIio2WzHxUuXlgEAjx9CEAcAjPWHMb1YwMxi4dDek4iIiIiIiDpLRwdx/Nqv/RrC4TAA4Mtf/jL++T//5/ijP/qjLc/5yle+gpdeeglf+MIXoCgKfuu3fgu/8iu/gl//9V9vRZOJiIiIiIiIiIiIiIiIiIiI6BBcu5VFoWwg4JVx5lj8UN5zpD8IAJhbKR3K+xEREREREVHn6eggjvUADgAoFosQBGHH5xmGAV3XIcsySqUS+vv3n+nAdV1UKpV9fz8RERERERERERERERERERERNd8LF5cAAA+f7oMsiYfynsO9IQDA3ErxUN6PiIiIiIiIOk9HB3EAwD/5J/8Ezz//PADgd37nd277+jPPPIMXXngBTz31FAKBAPr6+vC7v/u7+34/0zRx6dKlfX8/ERERERERERERERERERERETXfixeXAQCPne07tPcc7t2oxOG67h0TkhIREREREVH36vggjl/8xV8EAPzRH/0RfvEXfxG//du/veXrFy5cwM2bN/GNb3wDwWAQv/zLv4yf/dmfxS/8wi/s6/0URcHk5OSB223bDgBAWsv04DguHMeFLB9O5gci2p9uCOIyLQeSKEAU22sxsV3bRbSZadmQJbHrF+O3j3OIaO9c14VlO1BkidcUEd2V7bhwXXdLJsmd/o6IaC8Oux/hnJ/o7po5J1ife3A9g4jaieO4cLbPc2wHLsB5DhHtyUqmgunFAkQBeOT04QVxDCYDEAWgolnIFnXEw95De2+i/dhpHYD7nkRE7cmyHQiCAGmHtdTNe8xEdHQ5jgvbcaF08Hlz9lc1HR/Ese4HfuAH8JnPfAbZbBaxWKz+93/0R3+EJ554AuFwuP68T37yk/t+H0EQ4Pf7D9TWxdUyZpdLgACMD4QR9Cm4OpuFZTmIBFWcGIlxw5KIWuLmfB6ruSpEUcCJkSgiQU+rmwTXdXFtNodcUYcsiTg1FkPAp7S6WURb2LaDyzNZlKsmPKqE0+NxeJTuHGQupcu4tVwrDz7WH0Zf/GDjJqJupJs2Lk9noBs2NMOCIouQJBHjA2H0xnhNEdGGXFHH9bkcHMdFX9yPsYEw0vkqbs7n4brAYE8Aw72hVjeTiDrM5n5kqDeIoZ5gU99vaiGPVLa91iKI2slKpoLppQIAYLQvhP5EoGGvbVoOLk9nUNUt+DwyTo/HO3rjj4iOhs3znN64H+MDYaSyVUwt5gEXGO4LYjDZ3PEJER0dL15cAgCcHo8jHFAP7X0VWUJfIrB2NqTIIA5qa9mihhtz+doaY8KP4Z4g9z2JiNrUzFIBy+kKRFHA8aEIYpvGGJph4cp0FrppI+BTcHosxiSBREdQvqTj2mxt3aQn5sOxwUirm7Rnmm7h8kwGhukg6Fdwaiy+Y2BaN+jYXrpUKmF5ebn++Etf+hKi0Sii0eiW542MjOC73/0uTNMEAHzta1/DiRMnDrOpW9i2g9m1g41wgZnFAmaXi7CsWiatfMlAtqi1rH1E1L1KFQOruSqAWrRmva9qsVxRR66oA6hFk8+utEe7iDZL5aooV2tjDd2wsbhabnGLWsNx3FoAh4vaOGepAMdxW90soo6ztFqGbti1a2qpiHzJqM8dXJfXFBFt2HyvXc5UUNFMzCwWsd5VLKTKMEy7hS0kok40vVio9yPzKyWYVvP6kVLVRCq7sRZxq03WIojaheu6mFkq1OfZt5aL9aocjbCULqOqWwCAqm5hKd2d6xlE1F5uLW/Mc1bW5znrfSGAueUSrAb2hUR0tH37jUUAwBPnBg79vUfWEmvMrZQO/b2J9uLWUnFjjTFdwexykfueRERtqKpbWE5XAKC+j7zZ4moZ+tqeULlqIrV2BoyIjpbNY7dUduO8WidZWC3DMGtrO6WKiXQX91cdW4mjWCziH/yDfwBd1yEIAuLxOP79v//3EAQBn/70p/HMM8/g2WefxY/+6I/ixo0b+NCHPgRFUdDb24uf+ZmfaW3jBdQXGgVBuK3qhshShETUCtv6nnYpi7q9HewjqRN088d00zAHArr734Jo37ZdN+vXkSAIbXN/JqL2sH1sXOsnsO3vDrFBRHQkCFsWL+v/16T3uvtjIqrd37cEczfw5n7b3kSXZjsjovZyz7UPgWMGItqdbFHDhZurAIB3PDB46O8/3BvECxeBOSaoozZ3+3ritjXHQ2wLERHd2W398ba/2GnPiIiOoCOwF3xbmzvwZ2iUjg3iGBgYwB/+4R/u+LWf+7mfq/9ZVVV89rOfPaxm3ZMkiRgfCGNmsQBBEHBsMIyAV0FFs6AbNuIRL6IhT6ubSURdKOhT0J/wYylTgSKJGBsIt7pJAIBoyINk1IfVfBUeWcJIX6jVTSK6TU/Mj1xJR6FkwO+VMZgMtLpJLSGKAo4NRjC9WAAAjA+EuTBAtA+DyQCKZQMVzcLxkQhEQVy7vtrj3kxE7WNsIIzrszlYjoPBZAA+j4zxwTBuzufhOC5G+kJQZKnVzSSiDnNsKIwbc3m47no/0rxizgGfgoFkAIvpMuS1dVMi2rC+hzC1UKvKNzYQbmhZ+b64H/mSjlLFRNCvoC/ub9hrExHt1/hAGNdu1eY5A4kA/F4FE0MR3JyvjU/G+sOQpOaNT4jo6Pjum4twXODESLQl45zh3iAAVuKg9jc+EKmvMQ71BNGfCKBqWBv7nj3due9JRNRuvB4ZQ71BzKdKkMXb11IHewIoVmp7zOGgip6or0UtJaJmGh8I49psDpa9sW7SaYZ6gihVTVQ1q3Y2NNK9/VXHBnF0st6YHz1R35ZDjQ+c6IHrujzoSEQtNdofxkhfqO36oomhCI4N8jA4tS9JFHB6LM57OYBk1IdExNv1/w5EB6HIEu47nqz3KexbiOhOwgEVD5/u3dJPxEJePHLay76DiPYtFvLi0TOH14+M9IUw3Btkn0V0B4mID4mIrynXpCyJOHsswXEDEbWVkP/2eU487EU8zHkOEe3Nt15fAAC84/7Dr8IBAMO9tcR0c8usxEHtbac1Ru57EhG1p6GeIAaTgR375+17zER0NIX8Kh4+1dvR17qqSDjP/goAwDQlh8C0bGQLGjTdqv/dTh+8bv8wElF7aNe+qF3b1WyO4yJX1FGsGK1uCu3Cbj6nmm4hW9BgWvYhtKg1uvV6JdqNimYiW9Bg2c49n7t+LfGaIjr6bMdFtqihXDX39f1cYyCiZjjMfqRb+6xS1US2qMF23FY3hTpAM6+Tw7gGd9onIaLusZ8+gPMcIjqIfEnHWzdWAQDveKA1QRxDa5U4VvMaKtr+1nyI7iZf0pEv6Q17ve33Wd53iagdWLaDbIH30s3u1T+z/6ZmOeh+JjXWUbjWj8LPcFCsxNFkumnjws00LMuBIAAnR2OIBD2tbhYREXUA13VxdTaLQqkWwDGQDGCkL9TiVtFBFMoGrsxk4LqALIs4eywOr8rhGFG3yBQ0XJ/LAS7gUSScnUhAkRlXT9TtbMfFpak0KlrtMNPYQBh9cX+LW0VERM22uFrG7FpG3oBPwZnxOESRGxZ0NGmGhYs3M7Ds2j7JqbE4wgG11c0iokPCvVIiaoXvvLEAxwUmhyPoTwRa0oZwQEUkqCJfMrCQKmNyJNqSdtDRdGMuh3ReAwAkIl4cH462tkFERE1g2Q4uTqWh6TYgABODESSjvlY3i6gr2Y6Li1NpVNf2M8cHwujlfibRgfHEUJNlCxqqmol8SUdVs5DKVVvdJCIi6hC6YdcDOABgJVtBvqQjla0e6SoOR1kqW4G7lmDVshxkC43LjnOYNMPCSraCEqPrifYkla0Aa32AbtpYzVWwkq2gUGa1JaJuVq6a9QAOx3Fx9VYW2aLW4lYREXUHx3GRzleRzlfhuodbDWMlU6n/uXYv4PyKjq7MpmqErgus3mWfJFvUkMpWYe+ieiERtZdS1cRKtgLN2FptI1vQYFkbfQD3SonoMHz1pVkAwLseGm5pOwaTtWoci+lyS9tBR4vtuPUADgBI5xtT4bG+/1fhngURtYdC2agFcACAWzsz0y40vdZnsiIBdYtSxagHcADAchtdj3vRyj0Bop0w9XOzuS5mlopw1iZM8Yi3xQ0iIqJOIcsiRFGo30NKVRNXZrIAAFURcW4iyQzuHUZVpC2PPap0h2e2L023cGEqDdt2AQE4MRxFLMzxDdFubO4DLNvBzflCvR8fHwyjN8ZMFUTdSJVFQABcx8XschGyLOLarRyrsBERHYLrcznkirXg+nRIw8nR2KG9t0eVoJu1TWhBABSl8+aHRLvl2eV6yK2lApbStQ3g5YyMs8cSrFBD1CGyBQ3X1qqPSpKAc8cS8Hpq29C39QG85xFRk82nSrg8k4UoCnj3w60N4hhIBnBpOoOF1VJL20FHiyjU9pHXgyRlWcRBh82aYeHCzY39v8nhKOLc/yOiFrvtfEWbzCUqmomLU5naWR4BODkSQzTEaoN0tKmKBAioJ61sl+txr67NZpFfS6icCWs4MXJ4ewJEO+HJz2YTBMTCHnhUCeGgetvggoiI6E5kScSJkSiCfgWRoIqwX61/zTAdZkHpQEM9QfTG/Qj4FAz3Bjty8TNX0msLuADgYkumHyK6u9G+EJJRHwI+BbGwZ0sgXobXElHX8npkHB+KQJJEKIpYD+i6W4ZqIiI6ONt26gEcAJAr6g3JXLpbE0MRREMeBP0KJoejHbvpRbQbiYgPQ71BBHwKeuN+DCQCOz5v8xpDRbNuy+ZPRO0rndfqBzls20WutHGPjYW9GO6r9QE9MR8Ge4ItaiURdYuvvHgLAPDwqd6WJ6EaTNbGPYurrMRBjSMIAk6NxhAOqAgHVJwajUEQDhbFkS8Z2/b/uDZJRK0X9CkYHwwj4FMQj3gxNhBudZMA1NYR15Oxwq1VICU66nxr+5nrZx2ODbbH9bgXlu3UAzgAIFvYdC0TtQgrcTSZzyMjEfYhEfYBAAI+pcUtIiKiThIJehAJ1iL2b87nNw7zCZ1ZxaHbiaKA8TZZWNgvn2fr8NHr4eeQaLckScTEUAQAUK6auDCVrh9w8Ho4NSPqZomID+FALWB3fbHQ52W/QETUTKIoQJFFmGuZSz2KBOkQM/6rinSolT+IWm2oJ4ihexzc9nlkmFZtI7V2jXLNgahT+LwyUNj0eNs6x2AyiMEkgzeIqPkcx8XXXp4DADzz6EiLW1OrxAEACykGcVBjBXwKTo/HG/Z63m37ztvv5URErdIb89eTX7WL7X0k+0zqFomID4mIr9XN2Ddphz0BVgGmVuMdpMkiQQ+SMR/mlouIhbx3zDC13XKmgpmlAiJ+D06NczOPiA6HpltI5apQZBF9cf+BM3ZohoWLUxkAwNljcXhV3nYOYqw/BFEUYJg2eqI++L0MDOxE1+eyyBT0XR1eaEfbxzbcfCXan4BPwfGhCNJ5DcvpMpbSZXgUEQNr11SmoKFcNREOqPVgPiI62hRZgqqIuDmfR1/cj+NDEZiWg+VMGaIgoC/uhySxoCrRUXZzPo/VfBWDiQCG+0Ktbs6emZaN5UylY/osQRBwejyOuZUiBAgY7uXchpqv1WtljuNiJVuBaTnojfvbrgLM8eEIZpdLsGwHA8nAluqFRLQ7paqJbEGDV5XREzu8gxUDiQAcx0VFMxELe/e0lpEv6bh6KwuvKuHMeAIyr30iOoA3r69iNVdFwKfgiXP9rW5OfQ9lMc0gDmofq7kKbi4UEPQpOD0WgyiKiAQ9GB8MI1vQ4PcqB9r/W8lWoBs24mEvE90S0ZGRLWi4NpeDzyPj3LE4xgbCyBU1BHwK+hPtFWRylLmui+VMbW2rJ+pjokTaE0EQMNYXwrffXAAg4J0PDra6SdThCmUD+ZIOv1fed4ATe7EmK1VNrOaq8KoyqrqF1VwVvfG737izBQ1ffmEG7lpW3qph4sGTvYfQWiLqZqbl4OJUBpZdizbVDPvAFQO+/MIt5Iq1sunzK0V86J3HD9zObiZJYsdXceh2l6bTePnSCgDg6q0s3vvYKPp3GeDZLsrbxjapXBV99xjbENHOEhEfltIVzCwVAQA35nL4nifGIIoCbszlAdQ2986MxxHyq61sKhEdgqu3snjj2ioAoFTNY6w/hHReR1W3ANQWgRqZXY+I2svVW1m8cGGp/udnHx2pB3d2Atd1cWk6A023AXROn+XzyDgxwgQ6dHi+9PwM8qVapYnFVAkffGriUN//5kIembwGAFjNVXH/ZLKtAq4UWapXLySivavqFi5PZ+rV/UzLxuAhJZERRQEj+whC1QwLf/X8DHSjNobIFDQ8/XDrM+cTUef6yku3AADvfHAIahsErPavVeLIFXVUNJMJ2qjlChUDX3rhFmy7Nl4oV008drYW8NSIbPfzqRLmV0oAaslr75tI8IAtEXW8imbgS8/fgmHV5i3FsoG33z/IcxItML1YQCpbBQCkslWcn0wyCQjtyTffWECxXFuf/fbrC4e+PktHR6lq4vJMBlg752877r7G0hwpN9HKWjWNYtmoH7oqlA1EQh4srZYBARhMBm4rCb6SqSJXMpAv6vCoIpJRbyuaT0RdpqKZKFUN5EsGJEmAqojAPQIGsgUNuZIOv1e5bXJiWE49gAMA8iUDmmEdKMOgZTl448YqKlUTkyPRjjv8Tkfbq1dWMDWfR1/Cj3c8MLTjc5bSlY0Hbm3xstM+x8WKUR+AArUFir64H+l8FYWygYBPabtypkTtbDmzkYHNdYGlTAXBtcxUtuMgU9CRLy5AkiQADoZ7w0hEvB1dppSIdjafKiJXqo2fgz4Vc6kS4G5UxitUjLt+f0Uz8Pq1VWTyGkYHwhgfCDMAjKgNXb2VxUqmgt64HydHN4IHljZnZXVrc4d2CeLYzVjftJx6AAdw7z5rs3LVxEq2AkWuVSWTWL6cjiDLcvDylSW8eT2NeMSDoE9FtqjDsByoDd5oth0Xi6ulWrWNmH9L5tv1DUpg7bo1bAR8B3t/07KxsFoGXGAgGWiLw5JE3Wb9XlqsmLAsB+LavbRQMdAOOSUty8GbN1ZR3mFdP18y6gEcALCydhjnIAplA+l8FR5VQn88UP/3IKKjr6KZ+M6biwCAZx9tj4CwoE9BOKCiUDawuFrG8eFoq5tEXS6dq9YDOIDauaZ1uaKOpUwZ0wsFhAMqzh6LIxra23mlfFFHpqDBMG2EAyrKmskgDiLqeJm8Xg/gAGoVhw6LaTlYXC3BcYH+hL+hVV2XMxVcu5WF36fg/uPJjqiKmCvqWM3X7mWRoIqqbkGRuRdGu6MZ1pb10WxRh2U5HfHZ32zz+m9f3N+xgeJff3UO6WwVk6NR3D/Z0+rm7FmxvPX8XKFsMIijnaxkKpheLKBqWFhMlyEKAgI+BUG/gsvTmfqCZLFs4L7jyS3fK4ouZpcKWEuUg+He3W96EhHtlywJWFgtwbJqnU/If/cbfL6k49psbu1RbWNlcyCHKouIBNV6dsFQQD3wZOK7by1ierEAAJhdKeKDT00gzINp1AYuTqXxV8/PAACuzeUAYMdAjr64v559BgLQG+u8Q9hBvwoIqA9Eg34F2aJWrxqQylYhCgKS0c772YhaoSfmx0Jq7dCmUMt0JYkCUtkqllYryJY0LKcrsF0Xsijg5nwB90/2QBAExMMM9iY6SiqajXLVBADohoXB5AgyBa1+KDrku/u496svzWFmsYBS1cS1uTzefr4f90/2cJOUqI1cn9uotjG9WIAoApPDtUCOvlgAt9aqc0HAPSv5HpZcUd8y1hcgoGeHeYwii/CoUn3N81591jrTsnF5JlM/QKIbNg810ZH0wsUl3JzPo2pYmF7UMTlcO8Tc6AAOAJheyCO9Vm0jU9Bw/2SynkgqFFDrlTgUWYRXPXjAxeWZLKparXJYvqx35IYbUSczTBuX1qpv6KaNXFFDX7wWJNEua+frfSBQW9f/vrcfQyToAQBEgipUVYKxNoY46JpiVbdwZSYDd23t0rIcjPazujVRt/jOGwvQDRuDyQBOjbVPxb3BZKAWxJFmEAe1XjzshSQJ9Xn4+r23VDFwdTaLly8t15LTBlTMp0r4yNOTe5q3lDUTq7na2YFS1cQDJzg/IKLOF494IMsiLMsBcPB5y15cm82iVKntHeWKGu6f7GlIoHqpYuCrL21UZqpUTTz14M7JSttJsWLU17YqmolHzzBon3bPq8oIBdR6IEc05Om4AA4AmNpUbXn7+m+n+Pors/juW7X9smtzOfg9MiY7rGp6yK9sOT+333U47uQ3SWnt4IVPlRH2q8hXdCSjPsTD3o0NWQAVzYLruhCEjRuK4wgYHwgjV9LhUSREQ55Dbz8RHV26aWNuuQjXBQZ7AvVoTMt2MZQMolA2IMsiwoG79z1lzdzyuFQxbqvG8b4nxvDm9VUAwLmJrQFr+5EuaPU/27aLfFFvm40o6m4LqVL9z7bj4OLNNPoSAQz1BOHbdHDy7LEEZElEpqBhqCfYNpl19yLoU3BqNFarwuNR0BPzYXa5uOU5parJIA6iXcgWNHgUCSN9QaiyhNGBcP1eKghAulBFFB6kslVUNQuiIqFUrR2OKlUMBnEQHSGO4yIaVJEIe1HRTIwNhNGfCKAv7sdSugJBwF2rdzlOrQqesbaBoBsWdMNBVbcYxEHURlZz2pbH6ZyGyeHan0+NxyBJwGq+NlcY6mmPuUKpatz2eKcgDkEQcGY8juVMrc8a2GXFwapub8kAur6muhPLdjC3UoJp2eiLBxAOcD2AOkc6XzvENDEYQSpXQX/Cj/c+PtqU99p8Hdm2i6pu1zfxJgYj8HtlWGtVOiTp9k3KUqV2wFCWRAz3hqDcZSPTcdx6AAcAaLoNy3Yg7/C6RLQ7puVgbqUIy3YwkAjUEqrcRVW34KxlhfMoEvrifvQl/PCpctsEha73gUCtX8oWtXoQh1eV8T2Pj+LKTBYeVcJ9B9xHqGhmPYADAMpV685PJqIj58svzgIAnn1sdMv5i1YbSAZweSa7kcyHqIUiQQ/e+9gobsznEfApOHcsDmBtHuFuzCcMy4Fu2KhUDah7qMYR8CnoiflRKOuwHRe3lmtVPXaaexARdQq/V8X7Hh/FtdkcAl4ZZ8YTh/be5U3rPIbpwLQdeMSDH9bOFvUt67LrCUHaXcArQxBqCQ16435Ym34Got143+NjuHCzdpbx/OTBzzK2QqGkYzlbgW07iAY90Ay744I4Fle3VjSaT5U6Logj6Ffr5+cCXmXf5+S4k98kkaCK1VwV5aqJQsXASG8QVd3Caq6KgE+p32DDQfW2BYS+hA+RkKe+MDuY3N2mJxHRblydyaKq1zYuihUDD5yoRWnXqgWp8KxVy7hXAFkk4MG8UKpviOz0fK8q47Gz/Q1r+0AyUI+GVVUJiQgPiVN7ODYYwatXVuC4QLFiYnwgjExeQ2ntGtt8rz852lmDzp1Egp76RitQu/4X0+V6dHEkyMNURPdSrpq1yj0u4PMo6Iv7txzWTER8ODESw1K6hJnFIhzVqVXfCHkAAVuuQSLqfKIoIFvQ4fXI8HpkuBAgiQIEQcRIX2gX3y+iJ+ZDsWzAMG0EfAr8PhkBX2eWzyU6qoZ6gri+XtFSAAa3BWpMjsQwOXL47bqbSNCDhdWNsX70LmMQVZF21Wdt5vfKUGQR5loQ2t1ef2ohj2xBBwDkSwbun0xCVTprY4K6V38igHzJgCKLGO+P4JlHRw5csfZOoiEPltO1TTBFFuH3bryPKAoYvEtCCdNycHkmWz8Qrps2To/F7/h8URQQ8qsoVmrrdQGfwgAOogO6MZ9DYa26daFs4P7JnrsGUwV8ypZ7aV8igLE2qzyx3gcCgCpLt1Unjoa8eOK+gYa8V9CvbskuznVKou6xsFrChZtpiALwzKPtNbFan/strjKIg9pDT8yPntjWYM9wQIUgALGQB+m8Bo8qIeRXEdxlpc11sZAX2YKG1VwFgIBSxcLUYgGTrEJDRB0uEfG15IxSJOhBrlhbE/V55YZVdU1EfFuqIvYn2iMJwL2UdQuuCyiyhGxBgyy1T+AudQa/t7FnGVuhWDGRX+sXdMOG1IDqPIft2EAYM0sFAIAoABNDkRa3aH+2n5/bDwZxNEki4oMsiZheLEAUawezAKCiWzg9FsNKtgpBwG0TI6C2WPk9T4zh1lIRkaCnYR9Qx3Hw4sVlpAsaBhIBPHSqt/61VLaCV66sQBCAh0/1IhntjBszEe2N67qoGhuZp0zLge04EEUJsiTi7EQC6VwViiztmFlzs4BPwZljCRRKOvxeZccgjtVcrW9x3VrfslOft9nUQh6Xp7PwqhKeuK8Pfu/WRaHHz/YjGvSgXDUxMRTZsglN1ErHh6P46HtO4OZ8DovpCooVA69cWcbxoShsx61PHC3LwUuXl+uVOI5KCeGQX8WZ8TiKZQMBn8LD5US7oBlW/TAkgHqA5fXZLK7N5uH3SnjkdD/CfhW9MT/yZR0SJPTGvQgHvffMPK0ZFl64sIRS1cTxwShOjXd+ABnRUeY4LhIxHxSltvgeDqhbxhA7WVwt4fkLS5hdKmKwJ4AHT/RisCeIXEHDSF8I/YkADzcTtZmRvhDe8+gIVjIV9G4L4Lwbw3LwwoVFFMoGRvpCCPkVXJqqzZ0fO9t3zwzdBxHyqzg7HkehSWP97WsRyeids3tWNmX7dxwXmmGzn6OO8djZfkTW1rSODYZvW/Pabn39YDFVRr6soy8ewNljcYwN3Ptg9mhfCH6PAtOykYj69hRUYZh2PYADwJYqG3dyciyGVLYWNNLDqpxEB7b5fmfbLkzLvmsQx17X9VvhsbP9iIU8KFZ21wcehEeRcPZYolb9tA0TQV29lcX1uRyCPgWPn+tvWEBfoWLghbeWYNkO7ptIYHiPgbVER8FX1qpwPHiyt+0qha9XKlxMM4iD2pffq+DcRAJ9cT8WVsvwqhJOjsYh7+Gw8PRiHpemsiiUNQR8MhIRPxRZrO9/NMrmdZKx/jDOTRxeRnyioyRX1PDSpWVYtosHTiQxcJekD63UrDF0p5gcjmIlW4HrAj0xX8Oqjfm9Mt7/xBhurlVm6pRkpGG/ir64H5btIBzwsBIH7dlROCetKiIyBQ2GYeP4aAS203nXwRPnB+DzyVjJVHBiJIqRvvZKSHKYuuuudsgiQQ9OjsZw4Wa6vvERD3shSSIG7lFdoxnRm29cX8W1tWx/mbyGkF/B5EgMjuPgay/NwbBqkZVff2UOP/jMyYa+NxG1h1oGby8yhVoZvJBf3VJOy6NIt2UCvZugT0HwLtl9v/byHPS1qO2vvTKHH3rPJERx54WefEnHd95YqFf2+NbrNr7nifHbntcpEwfqPseHozg+HMW//2+vI7eWWe7qTBbPPraR8em1ayv1zLuZvIZwQMWxwc6MJt4u5FcRauLhMaKjJuRXIcsirLVMmbGwF+l8Fd+9sAS4QDoPOM4S3vPoCHrje184eOHCEm4tFQEAmfwS4hHPPYMpiah1RFFAIuyFtLb4Hg6qdz1waVgOvv7qPK5MZ1DWLKxkK9AMGx9513EEj3dm6V+ibjHUE9x18Ma6Vy8vY3qhlpFoMVWCYTn1sbfxho33v2280c3cIuhXmxoostu1iHjYW89c61ElBJjYgTrMXta03rixiuuzOVyfzaGiWyhWDGQKVSQi3ntej4Ig7PsQt9cjw+eR64es4pE7B1atk0QB/QlWEydqlETYi+VMLTDK55V3dUBpr+v6rTA5cnjr+j6PDF8b/nus5ip44cISgNrasOu6ePrhxlQL+OYrc8iuZeH85uvz+Mi7JpkEi7qK7bj46ou3AADvfWy0xa253frZkIVUqcUtIbo7v1fBaL+C0X1U9SpVDHz79dpev+O4KJRNDCZrQYWJ8L3nFXvxyqZ1kkxeQySgMoCRaB++/uo8imWj/uePPn0capsFSKSyzRtDdwqxiesukaBnSxLwTpCI+GCYtf11rhHTXjmOg6+9MlevQNOp56RnFgv19dup+QKsh50Wt2h/7p88GomPD4q9WJP5PDLum0igUDZQ0kzMr5Tw1o1VpPNVqLKER8/2o2+HQ1kLqVK9ROHEUKQhJchLVXPL40Kl9tiwHBQrBvJlHQJqN2jLcvYUUU9E7aWiWfjOGwsoV02MD4a3ZPs/PhxBrOCB4wCJbRuxK9kKltMVKIqIY4MReA6Q0dKwnHoABwAYhg3LcqCqO/ctFc2sB3AAQKl654wcuaKO2ZUiJFHA+EAYfu+dA0laRTMsTC8WYJoO+hOBtsyARo1jWRZ+/6+uYmohj0xBw4mRGBRZhM8jw7AceNc+9+Xt9+KyAct2MLWQh6bbSES8bb/hSkSNoSoSzk0kkC/q8KgSckUN/9dXr2FupYSR/jB6oj6sZMv479+Zgmk5uH8yuaegr/K2+2ixYqKHcZBEbaeqW7gxl8fcShEBr4xS1USmqCEW9KI/7kc0tPMGp2ZYsCwHmmGjqpuoarVxRlmzmnrQmohao1jZmEeYloN8SUdFtyCJwl0zczenLUY9UHSoJ4hsUUOxYiAS8GC0P9SwTHA7GekLIehTYFoOYmEv3ri+iltLRYQCCt5+/2DXZeGjo61UqR2iWE+8pBs2XLc2dvB5ZEwtFFDRTcTDXgz3Nu6wkiQKOHMsXksA49ayXb56ZQX9iQAeP9t3x+Qs6xzHxcxSAcWKgXDAg7Ed+gXNsDC9UIBpORhIBtouUzZRq40NhBEKqLBsB/GwF6J473urZTv41mvzuDSTQSTgwfc+OY5Ygw9L7sbmPuAwxgadZvOYDgDKu6h2dCezy0Vkixr8XgXHBsJb1oFs20VVNxnEQV3l9WsprOY1BHwKnrivv9XNuc3gWhBHtqjXx3NER0W2oGEuVUKuqGM5XUa2ZEAWBRwbCGN8IAxFERHbtMb56pWVA8/l1+dL64pV4w7PJKK7qWgb41PLclA17C1BHOtnF70eCccGG3N2ca8aOYY+qEaep+p25aqJ6cUCXNfFSF9oT9WfwwEVL15aQqVq4aGTvZBa8LmkzmVYDtLZChbTteQZg0l/R56TdlygUNZhWQ76E0FougV0WDyrbTuYWiygopmIhbwY6eKA3M769HUor0dGKKBiNVdFqWLg+QtLmFkqIlvU8Y1X5257fr6kY26lhKpu1Q4qLxcb0o7jQxGsr5XKsohja6XXVVmCINQ2gQ3LgSQJHdcxEdFWL15cxFK6jGLFwJvXVzG/KbOLIAhIRHzoifm2bABV9VrQQVW3UCgZmFrIH6gNqixiqHfjMPpQT/CuUfuJqB+hwMaBs4nBnTN8WLaD63M5VDULpYpZrzDUbqYXCiiUDFR1C1OL+dqAiY6sr740hzdvpFGqWtB0G7PLRfi9CoZ6g1sWHyeGovV7sSpLGB8I1zbcCrWF+7mVEvIlvUU/BREdNo8ioTfuRyTowZ9+8yY0w4FpO7g+l4Vh2siVDWTyGoplA995YwEVbfcbEceHNwI+/B4Zgz3MjEvUjm7O5zG9mMdqroprczm8di2FStVCpqDh268v3PH7wn4VvXEfJEmAZbvwemWYtnPXKnlE1LmOD0eAtXlEMKDAo0qw1hIneNXD3Sy8ditXCxqrmnjh4hJWMhVouo3lTAUr2WrT3z8W9qI37sdSuowLN9MoVgwspMp46dJy09+b6DBNDNbW8mNhLyRRQDTkQSzkQSzkxdxKCZmCBk23sZAqI7tWcbdRZElEb8yP+VQJ04sFlComrs/mcOVW9p7fu5KtIJWtQtNtrGQq9WoCm03NF1Ao19bMbi5wzYxoJ/GwF70x/64PSV29lcELF5dQKBmYXS7ii8/PNLmFO1vKlOt9wHKm1h/QhoFkAP5Nc7Zjd9gDuZdMQcPiahmabiOT1zCfKmF8aOO14hEvYqHdH4IiOgq+8kKtCsfTDw1BbcMDlcFNlcyX0uUWt4aocUxrY9/eNC3MpcrQDRtlzULVsNEb928J4JhdLm6dy1/c31z++HC0vk7iUSWMNDCwnaibjG+qutMT8yHk3xir5oobZxezhcadXdyrwZ6tY+jjg9GWtKPR56m63bXZLMpVExXNwrXZHGzHvfc3rfmbNxdRWQtif/XaCnLFxq6L0dEmiyKyJQOaYUMzbOTLZkeeky5XTJiWCxcCsiXt0JN9NcJ8qoRMvrbGvbhariUV6lIM8T8kpuUALmC7LhzHhWPXbj66aUPTTdxcKEAzbCQj3tsyyhumvdNL7tlAMogPvuMYVvNV9MYDCK8tFDiui7MTcaRyVQgQ0Bv3Q9MtTC0UUNZNVDULAZ+CkF/BxFAU0i6y/hBRa2nG1n6jqpl3eOaG9X6q/tg8eKmtpx8awuxyCS5cjN4jYlKVRXzv28YwlyrD55EQCXrw5o1VWJaDvoQfVc1CvmzAo4gwLRvSWuY/07p3O2eXi0jlqvCqEo4PRw8lIn5Lu1zAtB0cfu4zOizFTRlfwkEPemI+vP3+AZiWjVeurCDsVzExFMFIXwjf9/ZjSBeq6I8HEPSrmF0uYna5CMOy68/brBWfXyI6PKbl4MZ8DvOpEhRZQn88gKphYbgviIs3MzAMG9GgB44LXJrOQhCEel9xt2ycJ0djiIU8KFZMDPYEmJmaqE0Zpg17bX3AtBy4Tm3NAKhlqb6bZx4ZheMAqVwFmm7B65Xx2rUV+DwyKpoFWRTg9yk4NhipHxQgovZl2Q5uzudRqpqIBj04NhiuZ66uXccKciUdkYCKFy4tY2ahAFWVMZBsbqCm47iYWsgjXzYQ8MowTLs+BjFMG47rQhI2Hh+WyraqYzwETkfNcF8I731sFK9fT8EwbSiyhHjYh6+9fAuFigEBAvoTAciSCGMXa2P7Ud12XVX1e1/j2/uBndbt1quLAOCaGVGDlCpbq1xvv34Py/Y9hS3X+yau62J6sYBsUUfAK+P4cLQlWX0Pm1eV8X1vH8dCqoyAT0Ff3L+v11nva23HweJqGSu5Cs4dS2Ag7ofluBjpDd21clK2oGFmqQBBqFU630vWW6J2VK6a+Ju3FgEA7318tMWtubPBngCuzNQOru+l4jJRoyyulrGYLkOVRRwfjjakIoxlO/UxiGW7iARUOC6gyAIiodvXI9fHKIZlI1fQoRkWTo7F0Bvb2z1x8zrJYDIAv5drn0T78eT9gxjuC8GyndvGkIZlYyVbQbFiQJUl+L0Srt7K7rh22UyNGkMf1L3OU5mWjRtzeVR0C4mwF2MD+wvY7hab14scx4XjOJDE3Z2D2bJ3tla1NspYPtolx3EQ9MtYzVUhAAj51Y6sxBEOqQgHVFi2jd6YH5a9+0CodrF9Tfsw95faTWd9+jpY0Kcg6FegyhJ6Yz4E16JXTwxHMZcqo1QxYVkOltIVQAC8ntqNSRCAvnjjNmOjIS8mh2P1AA6gllmrLx5AXyyA3pgfffFalq1ixcBqtoqZxQJyRQ3ZQq38IRG1v1NjsXq2/5BfxfAuSk6t91MAAAHoTxy87xFFEWMDYYwPRO66abBOVWVMDEUwkAxiaqFQy9phOXjrehqLq2VYloNy1YKzaUeqP3H3SVq+pNe/t1QxcWupcOCfazf6Ev6NTKl+BQEvsyIfZU/eP1jPgCtLAj7w5Di8qox8qXZ/zxS0evbJWLh2Lw6u3Yst24FmWLBtF2XNhLtp9t+qzy8RHZ75VAmFkoHRvjA0w4btuhjpCyIa9KI/GUBFs1DRLPg8EkzTvq1PuZuemB8TQxEGcBC1sYFkAJGgCkEQkIx60RPz1dcDTo7F7/q9siziwZM9iIW88HkUeGQJU/N5pLJVTC8WcGu5BE23cWMudwg/CREd1EKqhFyxVv56NVdFKrc1c3Uy6q/NI3wqdN1GOOCBV5GgNyABw92kclWk8xosy0G+ZGwJIj0+HKlnuZUlET1RX1PbstnYYKiehU8QgFP36DOJOlGhYiAa9CIe9iGVq2I5U8ZypopyxUJVt7Gar8KjSIiHm3P49uRotL6BqaoSjg/d+7BhT8wPSar1E7IkIrlDvzCwac0x5Fe5ZkbUAJMj0XpfIEsiHphMtqQdPTHf1j4gsvPYYDWnIZWt1scXmyuJH3XetT2Qgxw+S0S8UBUR6byGqm4j5FORylbh9dSC+O92+MR2XNyYz8Mwa1XdrnO+SEfA8xcWYVoORvqCmByOtro5d7QegL+w2j19HrWPimZidrkIy3JQ0SxMLzRmv9HnkRFdq/7kVSUE/Qr8XhmKLCHouz2wYrQ/hKBfQa6gw3Ic9CcCmF4sQN/Hob31dRIGcBAdzEhfaMcxpIBaoKRtu9AMC0uZyta1y0OsuteIMfRB3es81dxKCYWyActysJypdHVG+d3Y/O8Xj3ihyLtPZHpqLLble3uirftcUOcRRRGVqgVZEiFJIspaZ1biCPoUKLIIn0eBAKEj11f74v76fpOqiIiHuzfND0/zHBJRFHB6LI5S1cT5ySTyJR2CIKAv7seVmczWJ7sufB4ZmYKOkF+B1yMhU9AwtZCH6wLjA+EdNz/uJJ2v4uuvzqOqmZgYjODJ+wdve86xwUhto1UQEPQpuLpWGn09A+j6fy27uRvDRNQY4wMRxEJeFMsGehMBqLsYcGzup2o3+o1bhGE5+NpLt5DKVREPe/HMoyNNOxBq2w6u3srhrZurUCQRg8kgbMeFvSlwY7gnhHjEC1EQEPDdfSDibCu7Zx9S9GlvzI+QX4VpOQj6lLtmS99JuWri2mwWplVbwBrZRSAOtc5gMoj/948+jBu3chjqC6I/EdwScJEv6Ujnq1hY9WNiMILYpsGn36tgfCAM03LgVWUI2Pis7Ofze30ui5curcB1XTx2pg+TI7F7fg8dHSvZCm4tFSEIuO2zRu0jna8dsHZd1IMuHznTh5H+IHqjfsQiXrx+tVaNaqgngHPHE4iHvFjOVJEtaLg4lYHXI+GJ+wbw8Kne1v4wRLRvmmEhla1CkkScGY9hYigMv1dBKqfBq0pI3OHA02YBnwLLdmCYNkI+BYbpwFrLCLUxj799/DCfKuHbbyzANG3cdzyJB070NPznI6K92V4yfmm1jFtLRYiCgOPDkXqGZNsFhnqCqOoWJEmEIAD/7a+vo6qZGBsI46kHhg7cllxRx835PBzXhapsXU/oi/uRiPoA10XQr8K0bFQ0C36vcqglu72qjO9/+zhWslWEAiozSFPHSOermFooQBBq6/x3u9+vrwE4rgu4qN3jUQvkHOsPI+BTcO54Am/dWMWFm2moioSnHhjEQDLYkLYmo358+J3HkMnriEd88HvvvRbo88i4fzJ5137B71PguC50w0J/0r/nNTMiul087MPHP3AasyslRIIq+uKN6Qf2yu9VcP9kEsWKgbmVEt64sYpIQMXkSAzSpmvddrbuNe53zX4lU8Gt5bV1sKHankg7Ws5U8K3X5qAZNk6OxvDY2f4DvZ4iS7jveBKSKKBY3jhwsv3fdSeu625Zc7YdF67rHkoWZaJm+eZrCwCAdz4w1Naf5cG1w4qLq0yaSYdv+/qgtXbPcF0XUwsFrOar8CoSJFlEuWrC55FxajSG+VQJz19Yguu6ePBkD86MJ2577RMjUZSqJjTdgqpIyBZ1KIq0Y6IHryrj+54cx9dfnYcsi7UDh27tfACU3R/gJaLDIGCsPwzNsKDIEsxtVfZSuQq+uTbGnRyO4on7Bu74So7j4vpcDrmSjoBXwcnR6J4O7beD7eepPEqtMsn6z7R9bYPnK+9upC+EeNgLx3X3XEn+zHgC/fEAKrqFvpi/Iw/gd7JbSwUsZypQZQknRqPwd1jwgOM48HlkWFYFglALQu3EShzJqB890Qp008ZIXwhtPA26o5Bfxf2TSVR1CwGf0hUVWu+ke3/yFhBFAeGACp9HRn8iUI8QHUgG6zfzgK8WHZUt6PB7ZNi2i9nlIm7O52HbtYW1qYX8bRu7d/PSpWVUqrVSyjfm85hbLu74vKBfRXDtMPRAMgBRFBAJehD0KQj4VSiyiN4WRrUS0d5Egh4M94V2FcCxbnM/tdnFm6u1SHoXyOQ1vHl9tdHNrVvK1EoyJsJeVHQL2aKO0f4QIoHawF1e64tCfvWeARxA7d9hPSJeFIV6ppvD4PPICAfUfW1GTy8W8H+z91+xluV7fh/2WXmtncPJoXLoqup084R7h+RQGmosUhpasGgYMGAThghDEGRYgCBLEARB0gufqBcDhPRg+MGBoE2PSXrIITXpzg197+2+HaurutLJaeewcvLD2nuds0+oOpXrdK8P0I0+fXZYe5+1/uv/S9+v5ycWtNtNE9P2X8IRZrxIKgWd79ycY66eFElnajkUWSSKYtp9h1JeIwxjHm71Jp43P5VHU2VyukIxr0403T/t+RtFEb+8vUsQRIRhzAdf7KRNHhlff8IwYmW7TxTFx55rGW8G46LIeG9vOT7iKKo+P1fm2zdmiWPwwyQZqsgS05Ucs/U8iizy1VqHMIowNIXbD1u0eq9O6SYjI+PFsrE7xHYDNEUiCGPiWEBVZBanC6ca4ABY2epTK+nomszA9ikVVGplnXJBpV5O9hRLM0cbuD74YgfPC4lj+Ox+k77lvdDPlpGR8fTM1nJpkloUBYa2TxTFBGHEowP7urwuUy3p5HQFTZVodu0077ey1Wf9hLzf0/Bwq0cQRkRRzNDy9xW1R/F4ojyXxOiKLFEuaK90gGOMqsoszRazAY6MM0MUxcmA1Chme7TVJ45PzvOPc/SqLDFXzzNTM9BGg566JnFlucLQ8vj8QYs4BtcL+eCLnRd6zDk9cfg9zQDHmCetCytbPURBwNAUdpoWlpPlvDIyXgSGrnLtXO21DXCMUWQJ0w5w3BBi6A09Gp1JN9HxOgaJY8eT3LaPww8iVnb282CPNt9cB+Nf3t7BdpP46+5qh2b3ye6qT0KWRC4vVdBHtRztlEIAh7/vpenCG930npHxJAaWx6/v7gHww/eff6D9ZTI/nazPW9kQR8ZroJhTKBeSOF4QEnEISEQcmt2kB2CvY3FvrQMx2E7AZmPIzz/fTmuOH97Zw/OCI68tCALFnMp0NRF9qJcNSnk1fY/DqKrMe9em0zp/rayfuQbQjIxvArWSNnLXSXKQb1+qp03OmirxcLOX7nHvrXfZbZ+8x210bboDF+JEzHSrcTbvhQf7qQ5/JojTHKqhy9QzocUnkjeUpx7gGFMt6SxOF85c4/1ZZ2h57LSsJA/ph6xsv7lx+EmIoojnh8iyhCRJeEGEeAZPoyAIURWJYk4lCKIzOcQBoCpJHvmbPMABmRPHG0Epr/Le1Wn8IERXZTqDSUuteKSCkv4cj/91uqvvsPDKaQZAirn9Y1IkET+M0BQJ6Rt+wWRkfFM5vGwcdgd4oe81eu1SXsPQFGZrBleWq4RRotD3tGvReCJ+rBDwOhpLnoXDRfzoMUX9jDcTXU3UJ03HJyZGGu38D/8pD95zdVWeGPp52vM3iibv8zGQjXB8c4jTf41+zpaNN5I4nlzTNVXmnatThGGUrgGqInFhvpSoPigSkiima8q99Q6OF6aDHy/znpyRkfFyOby/e5b9XhTH6KrMxYVkzfjW9RlEUUCWRMIoRhQFtGNU7MJDKlBRpgqVkfHayekK716dwvOTQc7PH7TS3x283QuCwLVzVSzHR5ZEOn2HobXfAP0iVN4OxqOyJHLzYp04jrPcYEbGc5Km9UdEcTzhzneYckGbyBe4fsi3rifXqKpIyJJIqzfZRBW9Igfa5+HwlicLaTIyvn4ciXUOXeiKLHLr0hSuF6Tr2dMTT+TB3uT8+eG67HFuic/Cwf2jpsoTbieP49xciZlqDgRemuN6Rsar4mefbRNGMRfmS2+8o/3CVObEkfH6GOcSbDdAkcVUAT861Id08HYaBOHkPTx+cs3x6vJ+vkJ9jLPGTDVHpaARhFE2wJGR8YYijXKCzoE9e7Wk4472noeFZB6Xk/w69r4c/ky6KnN1uYrnH+35yMj4unA4h3cWL+WIRHC/Mhq0ymlnMyYu5TUuLZQJ4xhVFolP2Uee8WaSVd3eEBRZJDey16oWdUpjxXlJZHGmmCQdRtfa0mzhqQqm71+bSicP5+p5lmdPp8IzPiZFkcjpSlakzcj4BvPW+Vo6AZ0zFG5dOmqV+qKYreXQ1CSpU8wrnJ8vASCJwjOvReLouWdlgAMS+8BxYFcr6888gZ7xepEkkVJe49xcch4jwLljCgkH9wGHeZrzV5ZF3rsyle4Z3rk89VRuPBlnm2TfONrnnXCuZbx+RFFI/jaj63R5pog22m+P14C5eo6cpqCpMgVDYbqaKClKksj3b82l68GF+RLT1cwpLyPjrLI4XUiblUp5lWrx6ZWZzo0sciVRZGm2SCGnktMVVEXC0ORjBzgAvnV9Om0YvbJcofIM752RkfHikaUkLsjpSqqQLAhwfu7ovm58rb93dTrN+83UjGMf+7Scmy2le5X5qTyGJme5wYyMF4AkCizNTsZsTyrqH8wXGJqcXo/jPUS9bHBpsZy8pADvX595qZ/hRbA0u+9MPlUxUnfwjIyMrw9z9Xwaixi6fGzuYpzvf1a1RUWW9l2LBTj3AvZAL4v3r06nqrzLswXm6i/OLXy8fzztAMcYXZOzAY6MrwU//ngTgB+94S4cQLpmtfsOjnvUzSAj42UjCON6436+8GBvUrWopzkFRU76lL51fSbND9y6VD/VvWOcr3gS6qgukpGR8eYiHtqzSwf2ngf3uIvThRPddyCJ/ccOn6oiMv8C98OviyOfaSqf7s2zAY6MryulvEptNPwgigJLM6/XCfRZUGWRty/XMdQkz/ru1WnEM2jFsTRbQFUlNEViuprL8qtnnCw78wYiigJvXagl1j2SiCgK5A2FqYpBHPPUTcjzUwX+53/tKp4XUMiagDMyMp6BnC7zt350EcsJ0FX5pVrSqYrEu1em8IMIRRa/sVbe5YLGt67PEIbRqRJdGW82i9MFZqo5BIGXbgP3zpVprp6rEkWkiYOMbw6v8lzLeHbm6vnH7u11VeadK1ME4dF74YX5Mgv1PEEUkdOzvX1Gxlkmbyi8f22a4Dn2e9WSzrevzxDF8UQB9klcWapybqaYrSUZGW8w5+ZKzE/lEQThsfu6uXr+hef9pqsG1ZL2THnIjIyMx7MwVWC68mJjtt96dyERchJF1DPQkFst6nzrmvrU+5eMjIyzg6ZIJ+Y1XiTLs0Xm6vk3Pg92fr7EfD2HF0RZnTYj4wUysDw+vd8E4IfvL7zmo3kyxZxKMacwsHy2WyYXF8qv+5AyMo70JgkC+EGU9indvFjn0mI5qzlmZGQcYWm2yL/3u9dOlZOUJZFbl+oT68tZ5+v4mTIyTsOV5QqeHyJJ4lOLCbwpvH9thmvnaoji2XWnzPKrXy/e3IzWN5wgiOgMXBzPT/+fLInPXDhVZfGFJgZN288UIjIyvmGIYrKOHDfAMbQ8dtsWQfAkE9XTIQgCqiJ9Ywc4xkii8MoHOKIoZmj7eH74St/360AYRgxtH/+E60CRxWcqJgZBxG7bYmh5p36OrspZMvUbzLOeaxmvlift7UXx6L3Q8QJ22xYRvLamaz8IGdo+4WG/1IyMjGdCPLTfs5zkOve808fbkiSemKBzvADT9o/9narK2QBHRsYbhh8kMUUYJjGFIkun2te96LwfPH6v0urZtHr2C32/jIxvEoos4nohzlPc759ETlfPxADHmMftX8Y8Sz4kIyPjzWEc68RxTKNj0X9J1/LryIO5fohp+8Tx6XMjqipnAxwZGS+YD+/sEUUxF+ZLLEydDRXgsRvHdtN8zUeS8U0hjuOkt+cJsYeqSIiikNbo+6ZLs2sBWc0xIyPjZJ4mJzleX17GsIPnJ7XL6BXXLl/mZ3pTsJykF8x7Qb1g33Se1FN0VlAV6cwOcIyxXf/E+ulZ4TT51YyzQbbTfgPxvIA/+vkqA9NDkgR+9N4iS7Nvjg3wvfUOnb4LJOoxs7WjNsgZGRnfHFa2e/zkky3iGKpFjb/xGxdeqlNHxssjjGLurLQxbR9BgGvnqpQL2us+rDOB54d8+aiN64dIksCNC7UXYgHsBRF//PMVugMXQYAfvrfI+fnSCzjijIyMs0Z34PDHv1jD80I0VeL3fnD+la/RA8vj7mqHKIoxNJkbF2vZwFBGxguk2bX4179cJwgicprM7/3G+edq8tlrW6zs9CGGSlHj2rnqCzzajIyMF43l+Hy50iYMYzRF4sbF2hvpyviL2zt8tdoBEtWt33h7/jUfUUbG2SPNrwtwYa7ETJZfP0IQRPzxL1Zp9xwEIXEbydSqMzLOHlEU8a9+sUajY4MA3785d+bjkmbX5uFWD2IoF1Sunat+48WoMjJeF7+8vQPA927OvuYjOT3z9QJfrXWzIY6MV0Icx9xb79IdjGKP+RIz1SfHHp/db/DJvcTlZnm2wF/59vLLPtSMjIyMZ6Y7cLm33iGOE/fzty7Uznxz+ZvCdnPIn320QRjGFHMqf+M3z59Z14I3gZfVU5Tx9Pz8823ur3cBuH6+yvduzr3eA8r4xpN13LxmhrZPb+hOTIOu7AwYmIkiTRjG3F5pTTzHcpLnPI36reX4dAduquQ3JopiekMXyzndZJnl+OkAB8BWY3jqY8jIyHjz8IOQ7sB9LuW/24/ajAWnOgOXjcbgVM8Lo5ju4PTrz9Pg+cnnepybxMt8/7NKb+imk8ZxnCkBPQ3Nnk3PdNnrWAxMn9229UJed2N3kCRXSf4mX660T3zs+Hp2n8FFxXYDugOXIDzbE/8ZGWeJvunRNydVKAeWR2/oHlFyjKKYj+7uYY5UKweWx0d39165osx200zf03YD2n3nlb5/RsbXnTsrndTZznIDvnjUmojjHS+5X59WoWdtd4Bp+bijvfHL3PeO38MPMje3jIwncVK8utu2CMPkPuv6Ic1DThfOS96z+0H0xPxAEETpAAfA/fXu11qFLY6TvGnmApDxIrEcn829YXJfjmHzlPn1gXU0fngeTnN+n2ZdeFlsNoa0e0m8EcfwxcPWE56RkZHxJrK2M2B9d5DkEmK4/Si5ll9HLvJFrWlbzSGM0jG9ocfwOZQ709pt5naakfHUhGHEh3f2APjejbPTdLUwPXLiaGX1t4yXj+UEaY2RGLYbjz/vhrZPq2vzqy9303v0+u6Q3nC/P6hvejS7dpYHzMjIOJbjap8vm52WmfYrmaMezMcRhKO4wH3+XMfz9Ge8SF7kZzrIFw/bab56YHk82uq90Nf/ptHs2em5EobxC+spetWc9V47zwu4v95lYHoMTI+7a/u12bOGeUzfecbZJBuPe41sNYZs7CVFmlJe5fr5RK1FO6Syd/Dn3bbF6nYfSCZIb1yoPdGWq9WzebCZqMIYmszNizUkSSSKYr4cKa7D6Vw1ZEkEgTRBmantZ2ScXRwv4PajNkEQIYoC189XKT6D0q96yJrrNJPXYRRz+1EL2wlAgIvzZaarxlO/93EcVC89aXo5jGK+fNTCcpIg5sLC6ZRHvu4cVlPP1NVPj+0G/PJ2ktQUBYFyQQGeXyFSU0/eExzEcUfXc5hcz29dqFEwTje13+k73NvoQpy8361L9exvn5Hxknm01UtUKIGpisGlxTJrO312WkmyplrSuLqcKFOO9+x7bYu9jo0ii/hBRMFQuLPa5q3zT44HXhTKob2/kq0VGRkvlIP3fdsN2NgbIiCgqRLn5oo82OgRRTGyLHLrUv3EfQEkzQybjWEqEDE3lUN6Sdfs0PK4M3LpkSWRm5dqmRpTRsYJPC5efVw81hu6fLWWKMqpSrIGvEibbM8P+eJhCz+IHuvKKIpJLnBc1JAkga9zajBVLAXmp/Isv0FOyRlnl9WdARuN4UjBXePCwpPdNle2++yNCrv1ss7lpcpzHUMcx3y11qE3TPYJC9N5lmYmz293tC48b97wWdG1yb2EqnyNF5uMjK8pvaHLo60+rZ6DJApMVw1URTqSi7x5sX4k3/CieZFrWrJHCw/9/PQcdPQwdJmbF2ovLWbLyPg6cme1g2n7FHMq186fHYef+alkiGPrCc30GRkvAkkSTt3bs9UcsrLZZ213wOruEEOVqJd1DE1O8w8PN3ts7A1Y3x1SzCkszhS4dbF+ZO+ekZHxzeS42uer4Gl6XPwgiQs8P8mBXl2uUikezYGehhfVb/W8HP5MJ+V1nwVdffpesIyT+Tr0Y30deu1EUWR9b5CK2Ncr+pnsf95pmaztJCLbp+0hz3hzOXtn4NeIgxN1fdPDHk1Enp8vcf18FUOTmK4aExagu+39gN60/QmFFz+IaPVsBgfUszoDh3trSRKjb3oMR4pdfcvjk/t7E04a49fuDV1aPfuIa4fleKxs9ykYCpoikdNlLr+iTVdGxjeBzsCh1bNf2YRku++kjRdRFKcB1Uk4bkCza6dr1Zjvvz1HvWxgaBJvX64zV8+nv4uiiEdbPR5u9oii/TVlYHrJAAdADHudZD0MwmQde9x0/GZjyP31zomKWc2unU6Dh2FMs3v0cw0tL91UAs804Tw+1letJPAyKeVVFmcKqIpIKa9ybi5rUDktvYFLGIV0Bg5+GNI/pGQZRTGtnk2n7xxR2H8ci9MFbl6qY2gSUxXjRFvwVt+hO3TYbAzpDhwanZPPacvxaXb3p/x3O1aawHW98InqFM+LaU++f0bGN42D99wgjHi42aU3cNhtWwxtn4Hl0e45fLnS5F//YpWv1joMTI9aUaeQUxiYHtMVneWZIkPLP7XKheeHNLv2cylELs0UKRdUVEVkrp6jWtKf+bUyMjKO8t6VKRam8xiaRKmgsjhSZ3S9kIebPXpDl4GVxPWf3Wtw+1GT2w9bdPrOSDmmw8ZukrDrmx45TRoNmIKhKo8d+ngeGt39GCYIo1Q1OyMj4yiPi1cXpvJUSxqqIjJdNSgXNO5vdFjd7rPbtrDdgL7pYtnBhEvui6Ddd1KXnziGRsdmZbvH/Y1EhWqcD3C8kB++u0Ahp1DIKfzwvUVE8fWll1/E/uYkxg5DY86qMto4/nsdTgoZR+n0HTb3BkyVDRRJxPECLs7vD3GMc4NDKxnc2mklTnh7B2L8Vs+ZUK6PooiHmz0ebU3m3h5HEvvv5y0Ont+dvsODjS7317v4o7j9NHnDF81sLcc7V6YwNIlaWecHt+Zf6ftnZGQ8P7tti7yhcGmxjCyJaIrEb749f2Iu8rga52kYWIki+HFq4H6Q7BXWdwZPVQt5HBcXyuRHddKZqoFp+491BAfSeG19d9/FfLe9/z3YTnAkn3wcQRBxf6PDynamgJuR8cvbOwB858YM0hlqVhoPcWw3T+fGlpFxGuxxzH6ohq+rMsuzBVwvIAYuPmaAfLeV1CeCMGKulkORRRwvZH4qh+V4hGFEs5vUxeM4pm96BEHE+t7ghdT8XnSfhOUEfLXWya61jIyXzLh3x3J8dtsmO22TnZbJXsfE9YIn9v68CM7NFSnlk9rl4kyBUv7kQYrOwMXz93Oge4/pqTiOg/1M7b6D7fj0TRd7lH97HXT6k5/pSTnMOI5p951T9a18+61ZZmpJL9i181UuLmQ9os/DdMUYiRuIVEsaC1P5Jz/pDeNF9Nq9boIooqDLuH6A5wfkNelMOnHsti0+f9Dggy+22WsOMc+oM0pGwpkekfu7f/fv0mg0EEWRfD7Pf/lf/pfcuHHjyOPu3r3Lf/vf/rc0m02iKOI/+U/+E37v937vNRzxJKoipQVSQZicsPvezTm+d/Oo9aeqSDjuKAASQB1NggVhxO2HrTQ4Oj9fwnYD9toW9zd6NLs29bKOqkgszRb42ac7WI7PXtfixvkas/U8qiKxvjtgu5kMc+R0mZsX64iigOV4/POfrOB6yet//9Yc186dHVWLjIw3nYOKesWczVsXEmeel8nhJq7HKdpZjs/tR22iKEYQ4K0LtXSKvJRT+f3funDs8/78o002R8NiDzfz/BvfP3fse6mKOJrYbadDIkszBRamCxOP++x+g0/uNQHIPWjxN3/rAqp6WJnv8Oc62qymyJOuQk/b0BaGEbcftdL1eHm2mCZezzqL0wUWD33vGU/G8UJWdwZEUdI0ebip6qv1Dv1Rg8TTKk98+/oM374+89jHmLbPh3f20mu0Vja4eMzjOgOHe+tdiBMFnlsXj6p4H3fNvCgOKu1lSt0Z31REUUCWRRw3YG1nQBzH3FntsLY3wB3dV9r9ZCgrjkEg5sJCmWJOpZzXqJcNLo2TZAIop7hmPT/k85HiJAJcXixTLz+9A5Yii1w/X3vq52VkZJwOVZX53e8m++WHm72JpH+7lwx7jRuWVVVip2VSLWjM1guIAqnCyq1LdaYqBrttG1kSEUWR2kscujq8dzjsJJaRkbHP4+JVSRIPOHFF/Iufr6ZDUZII455tSRS4slx5ocd1OCb4/GGToZUk/b940GZhOkccCwgCXD9f4w/+ypUX+v7PwsT+Bri89Gz7m5OQRQFRFNIGkrPoAnDQwUUUBW5dqmNkCqmvjZ2Wyep2n72OjSQKnJsvoqkyhVF+baxY6Xo+nz1oUcypCILA92/NoUhiWkeQJAHxQM7wT361wU4ryeevbBX4a99dfuKxSJJ46PxO1oDV7T4f3d3DtH2iOKaUU9Pc3Ou4Bt67Os17V6df+ftmZGS8GMb7i/NzJc7Plbh2LlG57R5q4lIV6dga52ztyWqeex2Lla3+6HVEbl2aSl09/CDk8weJ01jfdIlHDkjjxz4rhiZz61Kddt/h/kaXvU4Sd926fLxbYhBE/MsPVtPhubcuVPnujTlURcQ80Of1pBpFFEX88S/294fbDZPffHfhmT9HRsZZ58M7ewB878bxwldvKvMjIbxmz8H1w5cmuJHxzWFgedxZaadx382L+46fURTT6jpoozpcq+ekvzuMqkipCnUhp3BxocSjrR5bDYvt5io/en8RWRITdw+SuMRyAvpWn07fTWuOz+LK8aL7JCwn4I9++hB7VG/5zo0ZblyoP/PrZWRkHM8n9xp8dn/Uu2MotLo27X6yV91r6+Q0BWfUY7g0W2Bh6uX0oKiKxFsXTle7VA85Gz/Nffhwj5AsC6xuD4jipD9j+hTxy8vgaeszB52HqyUtzUcfR06X+b0fXHjuY8xIEAThzA/CqIr0XL12bwKqLLLdstLhp522fSadOP7456t88agFwJcrbd65NkvxbJmiZBzg7J2BB/gH/+Af8E//6T/lD//wD/m7f/fv8p//5//5kcfYts1/+B/+h/zH//F/zB/90R/xz//5P+e73/3uazjao1xeLFMqqOQNhStLlVM1TV5aKFMpaqkLhq7JNLsWv/him+1RsSaMIu6td3iw0SWOY1Q5KcrIkki1qLO+l0xfOV6Aocl0Bg6VosalhfJoet6lM3Am3EG2Gmbi/GF5OF7Ao61nU3mJ40RlcLdtTSiGZWR80znYoDWwvFeiUF8vG8xP5TF0memqMRE0DS2PnVZy3UOS1BkXduOYU6nrNro2d1fb6bW+0zLxRsqPOV3hwkKJnC5TKWpcmC9hOf6Ey0fjmEn1h6OCDIBl++x2EmWunZaJ5fj4QUgcx2iahKHLzNZzxxZ7crrCxfnyxPs/Db2hy07LotG1afdtVnf6T37SE2j1bHZaZlqUzzhbWI6PpkiEQYQsCvQGDnttizCK8fwwHeAAaPZOVmHwg5CdlpmqH+y0zAklt5POk6Htk9dlFFkkpyuY9vHKba2ekwZUYRjTHboszxaplXRyusy5ueKpbD5tN2CnZT61ckazZ6fvH4TRhLJtRsY3iWvnqskQtyywMJ1HEASiMMbQZEQBVrZ6dIcOlu3juAHdoYumSuQNhfNzJcoFFV2VKOVVhpaXKqWEYcRu26LRsSfUU7pDN21wNG2fr9Y6R1S5MjIy3izOzRUp5BQcL6CUVyjkk9xB3/QwHR/XCwjDmEbX4d5Gm7vr+w1Pj7b7mI5PrazjBSG2m+yTDzvqvSjm63mmqwaGLjM/lX+hTdQZGV83Zms5Zuu5x8arAL2hNxF3N3sOxZyCpkpUStoLOZY4jtP4opBLXBlzusxUxWBgJWvN0PbZ2BswtIPRc5KY5LT0zf14/WkYx0LH5UbGx9zq2Vi2T6fvpG5/L5JkqKZC3lAo5VWuLFVeyOs6XhJLdQYv37Wo3XcYbwmjKKbTz5ySXifNro0gCCxOF0ZDlsKESNL4HG72XAaWTzjKwz3a6nFlqYIfhvhByJWlCqIo0Bu6rG73JlTdNxvDI8px4zzDwWtXkUWuLB09vx9sdthtW4RhRBTBwPYYWC6CAJWCNhFvvCon4YyMjLPL0kyBejnJOS7NFqgUkz3M8myRWnk/F1nKq0dqIk+6r49rjffWuoQjFyLPT4Y1IMnf39/opvWNUl5DUyVyo1rI/KEGsrHr0V7Hmljfwihmr538/yCIkseMcr7N7mSes3dCnrPVdybcj1a3k1rChflSWu9NaiVJU60zyrsezpv2zcn94coLqEk8D1m9N+N10hu6rIyupbM28Fka5XcAdkbCmhkZT0N6zxrdj9q9ybivdeBeYbnBhFr2cfH8OMY+N1dgYTrP8myRy4tlwjAmpyXnahzD3dUO5YLKVMmgVtaolXSiOKI0qimGYcza7oCdlontBnQHLjst84mukLYbcG+tk6pHv4g+ieQY9l/j0dbrvWdmZHxdWdnuY7sBQ9ujO3AYWh5RHBPFMV4QTjjsHbe/T3pukjXjYJ7yZfbLVIoaS7NJDrRe1lmaKUz0G0GSTzvcowFJP4ZzYG3pDTzKRQ1VlSjmVeRDbsUHP9PL3C9XihpLMwc+02MEW8ND/RmdvpvmnzIyToOhySzPFHC8AFEUnrrX7k3AcgNkKRG3ieIYSQTPe/k9mi+ardYQzwtxnADH8bi33nrdh5TxHJxp6a1SaX8hGAwGx05j/7N/9s94//3308ENWZap1d4M9Vhdk3nrKZVsVUWaKO40OhZ//MEqnh/S6Nq8daGG64WoioTnhwwtH11LCrAXFkpIkoihyjS6VhrM3bxYT1+zO2pMhiQh+O23EuVvTZWT4szoSYfV8U/Lo61+ujnb61jcGjl9ZGR809FUCXuURJEkAUV6NTN2y7NFlmeLE/+vN3S5u9aBmNR147BS45Omt/faFivbfRwvYGD5TFcN8oYyMb06U80xU91vWIlG7zdem45ThyzlVAZmEuwJQqI+9eVKG+IkCIohVSOcq+c4N3fyhnG6mljVPS1xHLO6PWCrMWSvY6OrEufmirR69jM3rK1u91Obub2Oxa1LU2fK/jkjcZVwvRBJFjGdgEbXYWW7T6vncP18FVkS0+BcP+H6CcKILx628PwoGZyKY6YrBttNk7cvT7HVHLI7ukfvti3evrx/npRyCqW8RmlkCFMpHN/Ydfi9dVVGlsSnUvK13YAvHrbSgubTKN4mrhv7iYFMBTbjm0rBUHjnyjTSgYRetaRhqDK//HIXywlo9x0UWUJVRK7lVM6P7mmVosaVpQpfPGzRH3rJP1WPC/Mlvlxpp0WZnummzVjja607dNlrW1SKGl88anHrUj1zw8nIeEOJohjHDdFVmb7pMzQ9PD9E1ySEoYDnJ0WQIIwRTUCAvG4xXTGYq+eQpaS5MwgiOgOXh1s9vCB6KSrsonj21YMyMl4VgiCk9/THYegysiymzdiVgjbRbPgiHG9Wdwap0uU4Dh27Mv7pR+v7BT1hUqXutGtIu+9wf70LHFUDfRxbzSEbu8PRf5u8c7mOMnr/gw7CjuuzNnoc8MKGWw5SLmipYveLwPNDbj/cF7s4N1dkrv7yXD0PnyfPooia8eLQNRnLSUSVlueKvHN5auJ60lUZ2w3I6TKiIKQ581JOZbtlokjJ33OrkTQ0PNzsEUURvaFLuaChyCKGJk3k3sIw4vbDdtoEZdp+miurFLW0oRqSAZBWz2VgefSGMaIA9UqO7aZFEMbcftRCFMU0F9Abui/cFSgjI+PrhSSJXD5mCFKWxCPDkdohNc+T8qdjVrb7NDo2rb6N44acnysiiAK6KqfuHLYXsLk75Px8EUWWODdXOrHB5Ku1Dv1R3aHdd9La7d3VdupO9onZoJxP1s1Wz6GQUyYaoE7an+V1GUkSCMPkw40dmBR5st4L4PohXzxqpY+9MF9iZjT0q2uT+8PTCPG8TMZ/A0jqQbcuZfXejFfHZw8S1e8L86UXul9/FQiCwPxUnvvrXbaaJufPYONbxuvl/sa+gnqja1M7FAsfjDE0ZdKB73BMeDDGVhWRty9PpffAh5s9fvrpFpDcn9p9h3JBw3R8cppCTlfo9B0cL8TQZHpDl6HtUzAUemYTQ5VRFYmthsnbl+vHCtqO643doYvrhczVc1RL+nP3SZTyysS+ovSa75kZGV9X/NHaAMkeXyROe3XCMEod8oAjtchm1+bhZiIeLYpDijklHXx+2f0yC1P7riCdvsO9Uf5SEJJc4HiN3WklPRryaE3SVGmin6mYV8gbCtMkfRI5Y/IzTuyXX/Znmi6cqo9TFAUUed/tVVXErC8p46kIwoidloWuyulg6dJM8clPfIMwVAnbCdP41fUi1BdQb3nVDE0/zfkOrIjiGYuLMiY585Wb//Q//U/54IMPAPgf/8f/8cjv79+/j6Zp/L2/9/fY2dnh+vXr/Gf/2X/2zIMccRxjWdZzHfOL5N5ak4Hp4PkhIjGrm10Khky5qCNEIXcetalVdK4tVzBUUGXomzYzFY2h7aPKIlHos7rVYqqso4gRmpI0jJQMieHQJNIViHzOzeZodG10VWa2oj7T97Dd6KVBouu6dPvaE5OxGRnfBK4uV9jYHRJGEYvTBaRXNMRxHN2BmyY14jj5eXm2iBeE9E2PgqE80cq8PVKUfPfKNPc3epQLGr/zrUW6Qw/T9qkWNSRJpNWzURWJqbJBp+9QyKmEYYShyWlRud2z+dWdPTRV4jtvzaDIIqbjc+1clSgmPVbHC7EcP20m7wxczs2d7jM3uza2G4yUwR7fVOIFEX4YUc6rdIeJGuFsLUen7z7zEEf7gBqm4yYqyYWREo8fhOx1bCRRYKaaywohbyjlgoahSTQ6NpIiUS0lCcHBSHHi+vkqm40hggDLJwQxpu2nln1D2yOOYbpi4AcRQ9ubUE11vRDb8dOi35XlKqYTsN00qZd1bl063hZ4YapAFMVYbkBBV1JnrsPnVhiGfHB7h/7Q4/1r08zV94P+3tCdUKR7mnN/cbpAFMfYbkCtqJ+5AktGxoukYChcXiqn++vLSxX+n//6DluNIYWcjGnLBFFIvZRjqmKwttujlNd57+oUjhdMKOp3Bi7zU+GEqtbBNaOYU7mwUOKTrxpUihpTZYMwjOmbXjbEkZHxhpIMaESJMtLQI4qSosfsaBC603Nw/AjT8hjaPkEQ0e5bnJst8FvvLmI7PsXRALShyjS7NtWSTm/oZkOUGRlnAF2V+d6NWf7kw3VUWeLf/uFFTDtxr6yVXsw+unMoDv3yUYv13QFz9TxXFkuJElUYc3GhxOJMHscNyRsKU2WdreYQYpip5RhaPgPLo5RXJ47rYJwbRTG9oXeqIY5Of78ZMggihpZPtSQdeU3XjygVVIIgQlWkM7GnGa/tY9p956UOcczX84RhjGn7VIqJUupBWj0bywmolvQ0B5HxcugNXWRRQNckJFFAEAQ6AwdVzqU5wKvnKqzvDigXVObqeR5t9ZBEgYtLFda295Vj7210+PnnW2iqzJWlCm9fqtMzPcoFje+MBJnGmE4woWL7uFxZu+8kTQxxMkxVLmiU8irtnsPG3gBREPDDiKk07/Zszi6dgcPQ8tPXz8jIyIDEOfvKUoW9joUoCMiyyE7LPDYfbjk+d9c6yKLIdMWg0bXRNInlmSJ5Q2GzkQx5GqrMTC1xGKuWdKYrx+cvwzBKBzgA+kOPMIqJoigd4IjimN2WRSmnpmu4oUlIkoAkJoN3v767h+36XF2ucmV5fzijkFP50XuLfPGohapI/ODW7InfQ3/opQMckNRZ0iEOVeavfnuJT+83UCSJ79w8+XVeBQf3bLYb4HjBqfZ6GRkvgk/vJ0Mc71yZes1H8mws1JMhju3MiSPjGegO99df0/a5slQmjGKGtk8przJ14H6nyBLn50t8+Shx8J0q61gj103PTxz7xrheyMp2H0OTma4YXFosY9oemw0zqevZHh9+uYssC1SKOjk9wFAl8rpMIa8SRlEqWtUfesS5RKA2CCMGlndsHXFcb1yYytPsOggIXD9Xfe4+ialKjt+4NceDzR55Q+H7N17vPTMj403jaXpjHse52Tx3VluYdsDNC3WqZZ2tRrKuXFossTRb5P5Gl5ymHBmmPpw33GyYaW7KcUMcN0idq14mnQND2XEMG7sDgigmCBOnIdP203ynrsoszxb4aj35TO9emWJtd8Dm3pCpis78oRzfwdd23BD3DdgvC4LA9fNVNvaSmGlp5tkEvDO+uZgjZ+zttomhyGiqeOaGOPwwZnGmwO1HzdQ1OQiiCWGcs8BUWac7dJIe74JO+BJdjDJePm9+desJ/P2///cB+Cf/5J/w9//+3+d/+B/+h4nfB0HAX/7lX/KP/tE/YmZmhn/wD/4B//V//V/z3//3//0zvZ/v+3z55ZfPfdwvip09h5UNkyiKMZ2I5WmF3WaEIgnsdX38KKbTU9jabvDbNwvsdUNcP6LZD6gXZTr9gIden8buNpWCjB/E+E5S2Om4Ag/ud5AlAcePCB2X2qgWu7djg73z1Me713Cx3WTRkEQBLWxkU50ZGSQb/jdFvc7QJ28NudHPyUT66V4jryv0hx6FnMr716e5dbGOafusbCfT9Bu7A2JIp9bvrXVSZU1NkbiwUEYSBWwv5P/2L+9gjppSt5sm/8t/83r6Pol7RTK9rsjixLHn9NPd4rYawzRISdwNHq9KrkgiiixSLemYToCuSkiieOr3O468sa/aJUlCojxGErDeftTG9cbTsx5Xl6snvk7G62OvY9LquwiiiOuGNDpJ4kFTkgaNvKEcUVY7jKHJqSKOpkip+5UgJEXHnK7g+cl5IorCEXW3965OP9E6XBQFzs2VCMOIzx4006ER0/YnlPH+6GerfPEwsdu786jD//bfuUG5MFKROJRceJpzXxRPpzyckfFNoV420uLF//X/9wWNjk27nwxoS6JIydAQJIHPHzapFHSmqyEf3tnj+7fmJlQcc7qMIksTioyHr9WZao63LtT2i4PC0cdkZGS8OSSDFjEbe0NcP6SQUxBFIVWIunmpzsxajn/5wSrdoUscQRwlDU1xHJMfDV5bTsCjQQ9BTNT13jqf7SUzMs4CQRDxyf1EuRLg03sNfve7517oe+R0OVW4a/Us/vRXTRAEPr3f5MJ8kfeuJLGFLIssz5bS/N3tR620oXFtZ5A2Vm43Ta6fr6aFzbyu0O45E+932uMy7eT1BWFSKTSvK2l8bGhy4vg5yiuchSEEQ5MnFPvyL3kvJgjCEffVMbtti9XRYMBOy+TWpXq2N3xJ9IYud1c76c9RnChTDi2f7sDl5sVEhEFX5TTn0ze9ZPgihrXtPn4YoUgija7Fzz/bRpFEbC/E8wJuXpriB+/MH6vIrqvShPLu4865vK5gOwHn50vMT+URRdht27T6DnlDSZqpD4i6PMv50urZPNhIcoPbLZO3zteyQY6MjIyUWkmnUtD4/GEzzZX3TW8ip+q4AbcftbFsH8sJmKoYLE0XeefSVNrwaWhy+nzXDykYKgICd1c7vHNl3+FrjCSJaKqU7jE0dTRwh4iqiHh+hCgIFPPJAEc8GuiQRIEojml2HfpDl0/uN9E1ic8etPj3/trViVzr0myRpRPuyQfJ6fKEcvjhdXuunn+pA6BPQ06X0+EXWRKPVVjPyHhZfHovGeJ494wOccxPJ9fxdisb4sh4egxNxh7VzRVZRJGlE5snwzBic2+A5QRJ07YTcHetQzGnoioSu22TWslAkUUaXZsgjJP/7li8c3mKd65M886VaX722RZ/9uEGkAzuzdVznJ8r0RHg8nKF83MlNvYGafO2pkpo6qgRUjjZ0XMcUyiyxPxUnqWZQipe97xcOTRUmZGRkfC0vTGP4/NHHfpmsh7dWevwb/7gHO9fS/KJkigkav1Kota/fch96mB/DEC1qKXuEJIkvLK95eF8pRdENLtJ/1Hf9Hj/+r5Yhh9EbDX3P9ODjS4D28fQZEw7oN13JgbWcrpMf5R7fZWf6Unk9Cf3rWRknEQUR3x8r5Fer4Io8N7VmSc8681ClUW2mybSyPV4szk8cwMcAF4QpvkN3w8zAd0zzpkf4hjzt//23+a/+q/+KzqdDtXq/s1mYWGBH/zgB8zOJtPVf+tv/S3+g//gP3jm91EUhStXrjz38T6JgeXR6btoqsRM1UAQjg463F3rECl9Li3lsL0Q1ws5N1ekb3l4fkjT7KLFIMkqXgyDsIpeBC2GYiUmb8jU/ZhqMUk8aqrEW+crbDUtgjBitmpMTLZeHLq0+y6m5bO2O8Dti1xcLKMrErM141QbjqtXI7aaJmEUM1vLPVfTc0bG6+BNGuJ6WcxUc0RRzNDyKRXUxyrsdwYO3YFL3lCYqSaF3N7QxQtCNFUibyjUyzp5Q0mUOkfYXsjQ8hCExK5vaHucmx05bwwc7q13KOc1Hmx2+GqtiyIL1ErGhCIIJA4YcZyoi5TziRPCTttCkUWWTmEXmBzvvspWFCUKlboqs9u2sN2AalGb2OyIopA2wVaKGqoi4QcRrh8ysLynsjHvDV3afYeCoaCpyevM1fOptaTrh2nx6PCxZrxZ9E0fSRSw7ABNTWwnpyoGuiqyst1HVyW8ICn4HfwbH0RVJK6fr7LbtpipJtddEMVMVwx0TWZptsjDzR624/Odm7NHCo5Pg+OF6QAHQG9UcDNtn0bX5s5Ke9QECoEasb5jUr6SHFMpr3J5qUxn4JLT5SOqEm8ijhew27IQxcSqXH6NbkcZGQfZbg55tNWnmFPYbgwRRYFSXqVnetTLGiIClYKB7fr0hi6247HbGvJws4umJMWZhekC81N5dlsmOV0mCCLyhnKsesrSTAFRFBKFnTdMcTkII7abyXD6bD13JtS0MzJeJjld4eJCma2mSW60p3bcgDCO8bwQTZPwg6R5MwwiECCIIlZ3Bvy///Q+716tc3mxTN/08MOInCZTyqtp43BGRsabzcDysEaDDDAWMNjHcnwaHRtZFpmr508tkNI3Pdp9B12VuLRYZqth4ocR3YGTTEyMcNyQvbaJH8b85jvz/OyzTe6sdjg3U6SQU1MXDz+MmK3l9tU2R24AAHP1JEdgOv6RuPowluOz17GTWH6miCyJuH7IdMWYaPa4uFBCUUT8IHnfIIho9R0M7WzEJTld4epylWbPRlMkFk+Zt3gZ9IaTSoMDy8+GOF4SB7/rMIpo9Zw0hza0fMIoPnIN9819l1xIlNVURWJtd0DBUEZrgMVPBza1ssHNS3WGlkez56ApEnP1HIIgTOQZLCcAIWavbeEFIWEYM1PLpdfY+flS4n5r+4RxDHGM40ecmyuiq8nQ1KXFEqIgIgg80/l7UOmeOPmc2RBHRsbZYWB5tA6tMy+aRtdidWeAKktUi1q6bsRxzG7bYrtpMrQ85up52n0HRRZ568KkYvfB3EcQRUgj5wwviJiuGizNFNhtWzheSL2sU8ypXD9fTUUvFkbrmygKvHW+xlbTRBDgxsUaza6N64X4QYQgCLhuQN/02OtY+EGI7wcoksijrR6Xlyr4QcR2c0gM5DWF+5tdJFHgnStTWE5Ab+hSzO2rpucNhavLFVq9N39/c3mpwlZjSBBGWb4145XS6tlsNoaIArx9+WwOcSxMJdf2VmP4hEdmZBzl+rkqm40hcZycS2NhBXfkrCEKAtWiRqvnpI7elpPkF0zHRx6JFaqKxFTZwPVDwjjC0GR6ZuKMUS5oOF5I3kjW9vbATWMF1w/oDh2WKWBZAV88bDFby7E4XUAUBCw34NJSGccNcLyQqbJxYqz5LPXGvY6FaftUizqVYtasmJHxtJzUG/Ms2E6AIMSEYYwiSxRzCq6X9B8szZTSYRGAnulOPHdhKk+rZ9MduJybK7I0U2Rzb4gfRswf00txXM7jJBwv4NP7TaIo5ualOqXH9O+MB6SHVuJiq0gCrZ6d5CWrBuEBR13L8VMhPUhEUfLG/mv3hpOuQ1eWKmzuJfvlufqL3S/bbsBe20KSBOanCkfySl+utGj1HJZmClyYL7+w983IGFoBOV2m1XNG1+nZKzpaboCmiLhegCCAJut4XoiqvhmDVqdltp5jr20RRDH1ijGxPp0lfvLJJrsdi2tLVd4+o0P6L4Iz2xkzHA4xTTMdzvhX/+pfUalUqFQqE4/7/d//ff7xP/7HDIdDCoUCP/7xj7l+/foxr3g6BEEgl8s9+YHPgeX4rO31k+YKO0BRoyPT85/db/DFoz6OF9A1A25eqtMbelTLBggihZzKVtNiYAYMnQBBEPAigdXtPjPVHLIk8u0b03QGbqrgO1UxKBULlIrHF2ByuRzVosc//MPPcb2Q3tDlq40Bf/XbyziBw7tXpk6VtC2VMjuujIw3nbl6HuqPf0zf9Li31gWg0bGJ40T58u5aJ92nTVcNqkUdgGJOTS22RTEpnIwbPcbKmo4XsNu2MFSZuysdPn/YxHR8ojjG8yN+MD9//LEe4MpTKnQUcgoDKwlWBSFRtzqoQLDXsbh1sT4x1GZoMpcWk2BnfXfAdtOk4dk0uzZvX546UVHkIEPbn/iulmeLRxwKVEVK1b4AirmsoeJNRRaFUUMEuH5EzpApF1QebPSI45iV7T7TFYNCTqVvety6dPwFVsypJw4CffDZdqr88PNPd5j5K8/e5Kypk4r9xZyC54d8udImimJcL6QzcNFVmSCMmKrqE88/6B7wphNGMV8+aqdqAKbj89b52ms+qowM6PQd/uRX62lDdRgLiVOdKjOrydy8UCMIY+I45u6ag+uFuH6IH4Q83BowVdFZ3xvyv/t33mGzMaTRSdYHURS4dq567KDX2BL0TeT+RjdVpGn3Hd69Op059mV845mqGFxcKKdDvWGUNFRuNYd8cq+BIokMLT/ZTkZgOgGNnoOx02evY/JXv73ErUv1/b2FwAtTs8vIyHi55HPqhCJ0vby/H/eDiC9X2mk+z3YDrhxQej4Jy/G5u9pO9x5BGKUKeALw8b1G+ruu6abNkP/3f/Elm00TURT5arXLVFk/0NxIGtdDEl+PEYRkgPpJ+EE48XkcN5hQrj6IJIlH4uZqST/2sW8qlaL2RjSaFHPqvuKhcDacTM4qxZzKTisZxJJEceKczenysXve5N69L2RSLxtpg++n9/ZY203UdBVZ5F//Yo0oipip7TcE+EHIudG1UsyphGHMV70Ojhvw+YMWeV2hXNBo9ZOcviwlYhTLs0U+vd/AcUdq9LLI5cVKehzTldxzqboVDDWNW/Y/Z0ZGxlnAcQPurOzvIw6uMy+KxMm7j2n59EKXKI64uJDk4LeaJpt7Q1wvYLMx5NxskZlqjsWZwpHG0IO5D1kSuf2oRbvnIAoCG7sDbDdI74GNjpXm88fvdRD9QB0AknUrimIcL8DzI1RFIm/IGJqM44UossDA8qmO1sqv1jqYtk8URfzqzi7lvIYgCKztDFK3rPG6OF7nq0U9ram8ySiyOKGmnJHxqvjsfuLCcWmxfGb3sPP1ZI3KnDgyngVVkY7cs+I45s5KG9cLCeOYD+/ssjBVIIwi9jo2uiZjOQGGJqPIYlpbbPUdqkUdRRa5t9ZM4wLLDZCk/TilnFfwg4iB5eEHIQVD4eO7DWZrebYaQ/7kV+v8z37rYporeBqept640zJZ2xkA0Oja3LhQy2KKjIyn5HBvzPMIemiaRBwLiKKA50cMrSDtk9kdDRiM832Hr9XtlonjhuiqzF7HZqqSO3Fv6bgBd1Y7qcvok2KRP/3VBq1essfe3Bvw7/7Olceq7B/sjRrHPKos0em7EzkbQ5MnPlO9YqT5E5jMi0ISi7yM/XIQJrnhcZ+H5QQTzhq3H7X46M4eACtbfWRRPJUrYEbGaciPXLRlSSSOz+IIR5KfbPYdohiIk2HVszbAATAwfSRZQgIGZkBOO3ux0Z9/tM7PP98B4P56F12TvrFOamd2iGMwGPAf/Uf/Ea7rIggCtVqNf/gP/yGCIPBf/Bf/Bb/7u7/LX//rf52FhQX+3t/7e/ydv/N3kCSJ2dlZ/pv/5r953YcPJEXXzcYQ3w+JAVEQqJf1UbPW/uOGB5T3wjBiozHki4dtXD/Z0OiaPFL0ivn47i6FnMp7V2fwvYA7ax26Q4/l2SKKJFIpaBiazHTFQFNlblzI0+jYRFFMGMU83OyxOFNAO8FVo9lPGsiIY4IwTqd0XS8kCKPnUgXPyMh4eTza6vFoq4cfJE0a05Xnb8Ae2pOuEEPLQ4CJXdrQ2l+/5up5REGgZ7oEnRBDU5AlkZwuM1fLMVU1aHRslqaTQM9yPGw3YGE6z04zUQetVXS2mkMWph6fBNptWwxMj2JeZbZ2dPDOcny2myaiKLAwlUzyu15Irayja/LEuktMqsKlqRIL05OT7OaBx8Zx8tqnGeIwbX/yu7I9YLLBRRq5fuy2E3v2N1l565tOMa+yMJVnYHnoqowiydxZadMZOLheRHfgUsipFHLJEMFBoihpxnTcRP2tWtIJo5jNvcGoGJgM8tzf6OB6IdFoYKo7cKmXBTb2hoRRzMJU/tSJFlkSuTk6t8bqvUPLS5MflxbLiCLkDZVLiyV0dfJ17693WN8dks/J1Es6kDRovYnKrb4fpgMcMLkuZWS8Chw3aTAQxaSJYOxe1+ol9uWm4+P5IVNlnWpZx/UCagUDxw+SBqk4JopjPn/YIopjgiBCEuPEMj12+IuPNxAEkEcNYVEUYznBG2PLe1oOXpt+EOH54anupxkZXxfGsX5/6OEFITtNE0OTOT9XpJhTaXQsHD8kjBJlq97QxXGTAVJNldJ9Za2gosiJSv0vvtzlLXPfXa9a1M5sg0NGxjeF7aaJafuUCxo/fG+Rn3++jSqL/PY7+4IGrhekxUIA85T7W8sJJvKNrZ7N2s4A1w+5ebHO3/zhJb5a6zBTM3iw3qM7cImI2WqbRFEysAExthckTehxTLWkc36+iO2GiZp+nCTeJVHk/WvTE4Njpu2z3TKRJZHF6UKqqGe74cTnmYjHXwGOF7DVGCtv508clI/jmO2mieUEVEvamRlqP4n5qXzanFMtahPCFRkvlmpJ58pyhb7pUcwplPIq200TYeTUeVxOoFzQuLpcoTN0afds/uLXm2iqyHdvzPHe1Wm2miZBFKPKEl4YstU0KRd05ANKuVvNbXpDl0pBIyYmCkGUBHZaFqosIkkiBUPB9cL0eUEYTTQgKLJEXpdp9R3mp/LPNcABidiLIDBy1FUnXm+vY9EfehRyyhHBloyMjJfLcevQYcyRY++Y4+7X43tls2vjhxH1ko4gCvh+dKp7p2n7CCQDZZ2BQ8FQubpUYWh5/OXHm5i2x4X5MoszBYo5lbmp/LG5/zFBGBHHMe2+jekETFcMBEGg1XXSxtSnyeePEUWBGxfrqdr525frfHa/SRQnDWVzU3nmpwupsjEk+w3TDpAlCc8PRwOzAjldoVLQGNp+OsSRkZHxeL541AbOrgsHkA67N7s2nh+euTxuxpuHH0QMTI9W3yEIIoaWx8JUAUkUKeYUFElElgQuzJeplXU+vL3LdtMkZ8hpbK5rEoYq4wcRcRjxi893WJjOszBd4PxcmXcu1/nl7R0MPckxbjdNKgUVXZXZbZvc3+geifcPM85/jt01jxvAcP2QrcaQZtcmpyfuxKlS/qH6/dDysyGOjIynZGmmMNEb8zx1uPcvT9MbuNhuyPXzVTw/SN1I62Wdd65M0eknTj6H4/yB6dHq2Xh+RCGnYNr+ibULyw3SHgZ4cu6w3d8Xj7DdENPxT53PKOYTl7wgjCjn1URYa4SqSNy4UKPRsVEUkblanp7p0ht65HWF6erkft5yAj7+ai/NvR6OXboDl2bXxvYCNEXCcQMMXaaU1x4b57heOKG4f/j7aHTs0dBdhKZKNLr2Mw9xRFHMdsvEdgJqZZ3aGRPTyXjxSJLIe1em2WqZyWDp4lExhDedoe1RMNR02GuhljuTThyVospGIyYIYqYqOpZ79vqgNhtDOn0HP4zIaTKbjWE2xHHWmJ+f5x//43987O/+u//uv5v4+Q/+4A/4gz/4g1dwVE/Hg81EbbbRseiZHhcXSrQHDpcXy4iikG5Cyvn9zcSjrX5iEawItHZtSnkVxwsQRYG//HgLRZZQ+y4/+WyTpekiy7MlyoWkCSRvqDheyPJMEVkRKeVVcrrCuTmZT+41UqX3oe3x7pXpY495qppPpuqcAEURqRWSG7Shy5lVbkbGG0qjY/GTT7foDz0Glsde2+L6+RqqIj1XYqOU10AYpg1j5YJGTpcRBNKCzuFgaKaWY69jQSwQhBFhFLEwnadeMViaKVIvG3z+oEkcJ83jpXyi0CdJIqoi8tVqhyiMkW+KzJwQuDS7NqvbfSBR8pZEYaIAEkUxd1Y7E5Pph10RSvl9RUo/jNhtm+mQWhjFXDgwMV/Kq6mtuygKp258KOaUye8qf3zgqKvyEaXRjDePiwtlZmo5pqs5ugOHvJ4ExPfXu8xUDUzHJ4ySc66Un7zuNhvDdFCoPXC4ebFOo2PR6CRWnWs7fc7PlRiYPl3TJa8rRFFM0ZD5aq2bFgP7psd7T6Fcr2vyhPpDbnQvD8KIUl7l3SvTTI/cu/LG/pZxY3eQTkPvdSzm6wUuL5XpPeX7vypURZpQMS4XsoRuxqsjimK+XNl3ghnaPu+MCox5Q6U7dBlaPpYbUMipzNfyhFGE44VYgwBZThqrWj0HQ5XpDT3COMb1Axwvabza65gQg6rICEJyzzt4zZ4VyoV9xy5NlU4cKs/I+LryaKtPo2PxaKvP2m6fKE4c4nY7FpcXy4nrZRSz17cIo4jO0EUkUfSO44hSQQUEjFHzcd/0UGSRzcaQzSb8jR+cf+7Gy4yMjJfLTstkfTdRlGx2bbwgTFWk13ZNblxMrmF9pJw53l+UTrm/LRjKRL7xq9UO7igXuNu2+Hd+dJmbF5PY+N5aLx0+z+sqQ2vk2IDA1eUK06MYO28ozNaSImwQRPyTP7+f7rs7A4e/9aPLye/CiDurk24bb11I3PFyujzhEviq16q7Kx1cPznmgZXENMex3TRTx85230GRpSOx3VnjpLxKxounVposdB9UjBw7vMJ+TqBgKFRLOn3T48Mvd+mmjnUuP7g1x921Lg83ewRhhKFInJsrkTsQAzzY6GLZPrttixh453KdgeWjazJ+ECKJAlvNIVeWKugHCpRjsRXLCYCkGcx0AnRVptN36fSd53a/maoYRxqV232Hla39XJ4oCsxUs/MzI+NVsbE3SB2D2gPniCs1JI5+E3XLY+7X202Tle0+K1t9ojge1QoSQYt233liPaIwypcrsshMNVHilSSRP/1wnU7foWd6dIcev/3uAm9dqKXu3ifxYKNLs+swtAIGpoehyjS6Nm9fqtPo7ruZPssgo6ZIEzn7ty7U9kXuhCT/K4oCxZyaiv4YmkRv6OJ6icvqVtOklFORxWR/lZGRcTrurCRDHDcunF237XJBTfdcOy3zhTsbZXzzkESBva6NZftEcYw7iq/DMGJo+czV82ijnOGdR+30PrjXtTA0mYKhUi3oaIrIdsui3bdxgwjT8embPhcXSlw/X6Nvegxtn2pRIyapcURRTBBGtHsOALYTcOPi8dfnw61eWgPoDlzevTJ1ZIjpq9UOu22TnZaFLIlcXCghiSLTVYNyXkvfRxCO1lszMjKezFhQ4kXg+GGaFwyjmK7p4Y6EIeI46ScqndAD43ghrdH1PLA93rlcP/ZxkOQfDzpgPCl3OFvLpfFNMaeSfwoRykpRS3ObsiweEbDM6Qrn5/f/3+Nc9H788UbqurfbtviDv3I5FY+xHJ+v1hPXvs29IbIkEIQx9YpOvWQc6XE6iK5KqQgoQPnQWqipYtq/5LjBcwm3HOljuVDL3N6/4eR0mVrZoDS6DutnwEXyMJossN0YEo9moTZa5pkb4ADoDjziWECSBHoDF005g33bEfQOrFf6Gfw7vCjOXnfPGaYzcNhtWyiSyLm5UloMcf0wCW6CaNSAAYokcHu9Q7Wo8f71mfQ12gOHzx808IKImYpBpaRxcaHCdjNRzjOdAE0WebDepagr7LVNwligaEjIksC3rk1THKlcjZOlYRSnN3cAx02ORzymCdNQJf5Xf+MtfnVnD1URubhYRhGTZmpBeLOaNjMyMhLaPRfL9ml07SRZM3LQsJ3gqYc4/CBifXeAF4TM1nLcuFCjN0yaysdF3OlKjrXdPuWCmjZ2HMR2k6bUalHjwUYXVZaYrRoMTI+P7u5xf6NDMafyG2/P89bFKv/ip6u0ew6qKuEHEa4XHnEyOIh16HfJz/vH4YfRxGT64cdD4hqiyCK2m6zTY1XOMErcEBwvYKaao1bSWZguEEQhv7q9l6gI1HKnmmTP6Qo3LtbpDhxyupJNrZ9xLi9VqBQ17q60UVV5NJjpUSlqVMsGCzNFqgWNhelC2iiz2Rjy+YMmza7D0kweQ1MgTq7NZsfkJ59u0x+65A2V+ak889M5dE2mWtKYn8oTI6TnKCRNU74fIj2lYkYYxazvDnDcgNmaAYLAhfkiMSTJgpI+4bTVGTjpf/thlF5DQRARhBGS+Ho31pbjp81Vy7NFDE3m5sVEFSNrBMl41YRRNOEEY9o+j7Z6uF6IKAhcXirz2f0WipwoVja6FjldSROE/aHLw80e7YFDTpMp6DKunyjiqrLI5aUyqiwjiQL1ikG5oHLzYu1Yd7y9jkW752BoMkuzxeceuOqbHlvNIbIosjxXfO6hi8uLFfZyFlEUM101jo1FMjK+rkRRzOcPm6zv9rHccOSmI+IHiTp9q+tQyKu4fkjgB2w1TVrd5L42V8/heCHn50q8e3UagZiYJAEpjK+jOIkJpl/yPTCKIj6+12SvbTFby/GtA7mMjIyMJzPOE0Iy9LDVGNIzXSRR5PqBBiVZSoRZfvXlLoYqc+vSycpEEzF8NcdMNcfKdo9SXptQ0w6CiJXtHqIgYOgyF+aLySB6GPHta9M0+w731ztcmC/zv/jdqzRGRdaDe2vHSxokB5YHCATR/h7I8yfdNg5+VlkSuXmxRqvnoEjiEdW6l0kQRukAByRKdmEUH7tPOnjMyc9+1jCS8dT0LY8Pb+/iBSHvXplifqrA0PbZag7Za1vomkytpHFlqcpHd3f58a83ebTVp1JQMXQFx03c+v7GD87zs8+28IOI33x3nvevzhDFMXfXEgfP3mjYc6wYGcfj6zXm1sU6QRgTRhEXFpIG6YO8daHGXsdCQMBy/LSpAhIl/ucZ4ojjmI29Ib2hy9D2qRQ15mr5CZdbOHq9ZWRkvFyGo6EvPwgp5lRWd/p0hy6+H3F+rsjyXAlNkbh5sUa776Cr8rENRZYT4AcR0WiTMbR91JESd7tv8y9/vkK9ZPCdm7OUjqlL5HSFmxfrdAZJ7mLs3NEzvXSIJAhjLi6UnjjAMT4ezw8pGArNrsX6Xp+B5XH1XIXpqoEii9RK+okuXACdvsNux0KVpdEQhocsC8QRhHHMXC1PpZi4jIiikDqqjRubrp2rsNexiYmZqef44LNd+qaLoUkoikS5oDE/XXjuAbmMjG8KluOzupMMfr51hoc4BCFxNn+w0WO7mQ1xZDw/YRQzX8/R7jus7wywvYAHG10WpvJUSzphHNPs2uy0TKwDdcVSLukbmqvneedynQdbfbwgwgtCugMXxwvI6QqGJnP9fJWpssZ2yyJvKFyYK/Fou08YRunQCECjayGsJrH++bliWqu4v97hzz/aQBIFrp+rIcsijpc40ThewPrugDCM2GkN2dgbJk6G+WRIJFGWNpiuGsiSgOn4VApHHSUP3rfPzRUzEdqMjFMwvv6iKGZxuvBUDfqlvMpsLUcQRuR1BT8I8YxkPagUNMIwOpJzGGNoMvNTeVw/JG8oxJxcE9RGDhgHY5HNxpDBaJ0Yi+CMef/aDP/8Jw/xg4jffm8R+QR3IEhqGr+6s0e7lziQvntlCkNLXImSHonTryPRqOfCdgNqJT1tTAZSl6Rx7GG7AcRJzhSS2ElX5bQ+fLjH6SCSJCaioF0bWRKP9GTNVPPcvFCjb3vUSwaF3ORaebCXYmmmcGRQ5U9+tc7aTp/pWo5L8wf6nmJSUcKMby6KnOQGWn0HRT56/p0FepaPrIipc4UiCliWTy53tpyqc2qyhwqDmJm6kQp2nSXGDqtD22O6nDuyHp0Vdlom3YFLTpdZmik+U59LNsTxinC8gPvr3bRAGkYxtZLOXtuiYKgEYYyqSEiSwNDx+exBC4Bm1+HD2zv85rsLAKxs9Wl0k8KJKYn89e+fY6dlYdqJeosgwMAJqZQ07m/2MC0fSRbom/DO5WkGts/5+dLESS9LYqoGA8lk6eNOplrZ4Pd+cP5lfE0ZGRkvgWJBoW95CCQT7bIsIYrCMzUbPNrqpQ4VA9PjnStTLM3sb9x7Q5e9jjUKMCI2G0OWDw00VIs6Oy2TzYaJFyQN4J/cayKKAndW28RxMjFaK3X43e+e44fvBXz6oMFu28JQZQp55cRpdoBKUWenbSUOIULy80FUWSRvKGmB+KQCybhI5Achex2bIIjYa9vomkR/6NE3Pd65nARxXzzopAXmH3+yyb/7O5fI6U/+fguGcqItZMbZ4i9+vcH99R6SJDG0PD64vce3rk1TLenMVnMIAlw7X00Hpywn4C9+vUEYxpi2zxcPXb57YxZJEigVVD6+12S7aY2aul3eulCjmNOolQyqRR1NlTB0hWpRSxsqcrqM9gyTyeu7A/baiRpF3/S4efHxCgpLM0U+f9giDGMMVaZeTq6hvKGkhdnXRRwfdtrxef/aDIossXAogZOR8SpQZIlCTmFoJfcc1wtT1ZWh5SUWuzmFYctnaCX/lAoaiizRNz22mxZBGCEi0OjYhHEMgkhEkuBsdmzmpkSmqzkqRY1ry9VjGxkGlpcq2/ZNDwSey+UpCCO+WuukCpyuHx5xtXpakmb0F6P+k5Fx1ni01WOrYWLaAT3TQxYEZElE12R0TeL8fJFP77cIwojVnQHre0O8A43G5+dK/Na788iyxNWlCtWSzu1HLT66swckilHzMy//+rqz2uH2w3EuI9k337jwfGtDRsY3iWpRo9mzR7FsEk8Ho8GHB+tdfvTeIpDsIX7++TZxDH7g8ZefbPM3fuPCsa+5sr2vcrnXthAFAV2V8fwQTZXwRvtmSYTOwEWRxNGgppk2Vz7c7qOrEhcXKkByrb9zjIOvrkp4fogzKjZW0A78TsbQ5HQIvVrSDj1XPlJwfRWMB2LG6nTlgnrioGu1pNHuJ7GXKAqZu1HGM/HjjzbojPJqf/bRBn/7r17B8QJWtweJ2/bQY3V7gOeFfPD5Dt2Bi+sHNLohC1MS1VLSBBFGMd+/NQ/AhfmkmbnTd/D9CFEQUBWJ/tBFVSQExo0VeQo5hbWdxPFHlkVqx+TXZElkYSq5HrsDl1bfgThRuj2cY3tadtvWyNVmgOUEzNXzDExv5Do2cqsVkvUwIyPj1eG4yfAXJPsB1w/oDkZCUG6AMIo5crry2IJ6taTR7NooskgQxkyVdKI4xgtCvnjYol42cNwQ8yOfv/nDS8e+Rt5QjjRkLk4V2GwMyY1yoScp0h6mVtJxvIDOwMG0AwQhxvNjPn/Q4sJ8ifeuTj+2KctxA+5vJHVd201eZ2F0LGO3kIHp8e7VaTRFOlaFV5JE5qfy6etdPecyMD02G0OmygaVonakfpKRkXEyX611RsOpxpkXRpuvj4Y4WubrPpSMrwGKLFIuaKxsJ4OYphPg+VHqiiWIiUJzpahBHOP5yfCErsncuFAnpyc1hSuLZRw3YG0naULWVYlmz0YaxcDlgsalpX0hiW+VdKIo5otHLezRMGdv6KZNykEY8db5Gs2uxc+/2MH1kyZmaPPt67PkR+97f72b1tnvb/aQJRHHDxEsH1ESJu6v1ZJ+bG3fcQPubXSTnApJM/WVzOkqI+OJ3FvvYo+uv6Hd4f2r0ycOXhymVtbTPKCqiKiKlNZDS3n1sa9TK+l0By5FRnm2J/QuHYxF9joWm6MhhL7poUjihNvsTz7dQhJFJFXkgy+2WZwpnNjD8On9Jl+tdoCkplHMqVxaLJ/q8x9mY2/A7oGei1pRm3AEqRT2165iTk3cULVknZ6qGAwtP+kdOkX+RVWkE3Op1aLGbD3PLHlEUaByIIcZxzF3VzupAKFp+xNiXB/e2eGXt3eAJIfj+SGLoxyRJD1bj1nG1w9dez25/BdFJa/ieAGMhsccPzxzAxwA6w2TKIwRBGj1HMLg7Ini6JqEoSW1I1EUjgydnQU6AyfNt/dND0kSn+n6yIY4XhGuF04o3LleyNXlCsWcQhDGyJKAH0RUihqrW4OJ5/atxJZwbadPu29TMBQkScTQJERR5NalOoIA331rlr2uheX4FAwN203UO1VVRhSS5ipFkXC9kDurHdZ3B1QKKr/59jzXzldp9WxcP2Roevzyiy0+f5Qod107V+V3v7v8ir+xjIyMF4UqS3znrVkaXRtRgPmpAm9fqp9KrQqg3XfYagyRZXFCGS+Ok7XsoFLVeDJ8zEGXgDGXl5KgZ7tlIokCd1Y7WI6PKAokvRICmiLR6juIosC7V6eYqhq0uzaGLj9RAaCUV7l5sc7QShS6xkMSYRSzup2sowPLQ5GSpu6LC49vYlVkiVuX6nT6DlEcIwr7isaOF2BocupuAoya8oNTDXFkfH0YB+QAkiiy2RgwW9Wx3IDV7T7nZot8+/p+o5PleKkSbd5QiKKYc3NFKgVtpGYvUMwpRHGcqLcZCjcu1FnZ6eF6AbomcftRC0OVOD9XBEFgqqw/kytWEqDs4/ohj9tSVks6/9ZvXGCjMaRa1NBVmSiKqT/j+x+H54esbPfx/JC5ev7Uxdlw5Gy2/zrRie5iGRmviuvna7S6NoIg0OxaDEYJzChOGhaJY6oFlZyhjAYlBd6+Uufqcpk//vkaoghzdYOv1rr4QUS77xCE4PgBsiIyVdZ561wF0wnY2BvgB9ERBevD9+PD9+unxRs5CY45vI5kZGQ8HX3TGyW/Y8IwolrS+NZbc5RyCsszRfI5lY29IY1u0nzkBxGKIkCQXN/NrsU//fFDzs2VmK4YVEs6Ny/WKeZUukOXc7PFY5VuX8bnOMh4vcvIyDgd1ZLOjQs1TNsniiJuP+zQ7DqIIhP72aHtT+QYzcdca467f8/3/JCB5RMEEaoicWW5gqZIuH5EMaekRUVIhkULhkIUw27LpDNw8cMIVRbZaVlIUos4TtTaOgOXgeVhaDJvX5lip2UiCiLzUzkebvYS5f6ixo2R24YsCY9tuLIcj59+uoPp+FxdrnDz4ssdBrt2rpoMzwBT5ZPjjnrZQJElLCdR2Dae0gExIwOgPXBpdW3iOKaYU7GdgJwmUymq2K6ErkpEUUx74BKEybVaymtEYUitrHFpoUJ3kAioWG7y3NlRo4JzYI9/bbmK4yWuHZWCSk5XmaokMbumJvWBaklHfYKbXqWocfNCjaGdOM8cbt72Ry4+jhcyU82lx3ISj7b6rO8NaHVt8kai0hnHoCgS189V+bNfb+C6AaIA370x94zfckZGxtOSM2QWZwp4fjj6Z9JN63AOwQ9CHm31cf3ErXvszFUvGyiXJJZmC4RRTMFQkCWR3ZZJvWykathD++nihL/y7UXurfUI44gry1WCMGZlo/PEvOH5+RKFnEKjazO0fDpDF00E2/GJohg/CNMhjjCMeLTdx3YD6mWdhakCrr9f1/X8MB1+9fwwbRCNR+q5p3En1TWZa0tl/r8/echu20IQ4Ae35o4VeYqimLXdAQMriRXPzRZfWN41I+Msc2fUZPnW+bPrwjFmLDq11cyGODKeH0EQuH6+xv31DjEQBCFDC26vtCkYCrWSzvxUnmJOZaaaQ5FFZFlkcSrP+m6f3bZFGMaEcUQpr1ItqYgSyKJEOa8mbqEtM3HHyCX3pXGeQhQFblxI4n3XC5Cl/fuVM6pL9E0fYijnVVRZxNBkbl6qpQ3e41gmjmMKukK9YjBXyyNLiWvHaZqG3QP3ZwA7q1lkZJyKg3v9MIxpdG2aI4eHsWjEmCCI+Pnn27T6iWvF+1enE4cfJ2BppsJcPU+zZ9M3PWwn4M5Km3NzxWMHwacqiTOe7QZUCtqpe5dgf20Zc/h6H1qTDhg7LZP+0EWWRS7MTX6m4aG86ni4/VlwDsVNb1+uc2G+hOtHXF4qTziCqIrErctJD9KV5WoqbCEIUMipaIrEvfXOqfMtB6mWdG5cTHLMh3M5SRy0H+/5QcRuy6LRtVAVib2REOGYOIy5fr66/3d6jIthxulY3x3QHboUDIXzc6Wsj+U1MHQCKnmVRpAINpVyCo4ToOtn6/yWZIEojomimLyi0B56T37SG8ZMLXFAGtg+UyUdQzt7Qxyn6ZM9DWfr7DvDFAwFXZPS4ulUxUAQhFTp/SCLM3k+fSClf+TLi2XurSWTkJWCxvrukLl6jlJeY7qaQ5VF3r48xdr2gEpR495Gl0JOQXYFvJHFVxTFiUK3ItHq2ak65sD00NQGv/H2PDPVHF88bGHaPj/7bIfNpkmloPHL2zss1HO89ZKLphkZGS+HckFNLEVHm/PLS+VTB0GeH/JgY99FyPUDNCV5rq5JRwoM5aKG3BCTJmqBYwsogiBwYaFEZ+DwL362QrvvEMcxMTFhEKOqEpoipQGALImcmy1y7ikUqY5zuNhqDGl2bR5t9fCDiPmpPO2+M7JTffzGWFMk5up5BEFgdTtRMtdUKXVVuDBf4u4oeVwpao91Csn4evLdGzP8+u4eQRgzsDyun6vycKvPdtNiabbAg80eP/1shx+9n6jnVgo61aKWKnBeP1+dUKB/a2QJCpDPKXz35ixrOwMEBPww5tP7TS7Ol7FlEUWRnktRf6ps0B9t6BVZPFUy9CSlmxfFo60evdExPdzqkTeUUzVJyZJIpailjkG1sp4FvhmvHUkUUgUYUYSB1QMSVZogiigVElXnnZZJOa8RRhF3Vtr8e797jbcv17m33gVgrp5jq2EiCAKOG6QDg6W8xoPNPrWSjudHPNrukTfkiaRcpaAhy/v357GDzrNiaPKEw8hpB60yMjKOZ3m2mCrOqYrM8lwZVRa5caGe3sfyhspex2a2nqPRswEJx/MxdJlWz6Vv+aiKxB/+xQP+D//Lb6ev+ypVXS/Ml9LYQZIELs4/+/4kI+ObSjGnUsypeH6QuO2MYtWDjntTZYNiXmUwGpy68Bh1uKmKwfpuIhajaxK77aR53PVDXC/i1qUpIBnIbHYdgjDZK1xarBwoiMbstC2iKCYKIzpDJ3Wh+MXtHUo5FUEQsJ0ASRQ4N5tc+2EU0ewmhT/bSQQQTlNw/ODzXXZGarQf3dljumIwXT19ofJpEUUhbT59EqW8minOZTwXqiImzUWAHybKuFMVg9laPm2SqJcNlmcL3Fvv0Ogkw1XlooGhKgwsl+2mn8a8vh8RRknxvVrU2GoOE8EIAd67On2sY8zT5qwKOfVEMZXVnX7q9rO63Sf/GMfZVs/G9QL8UXOV6fhczJUx9CR2+ejObpqbuLPSoVLUuHJA5TcjI+PlMV1JcoN5PRGUCcOItd0BURRTKqhHcgiPtvrpOrSy1adg7KviHnevLOYU7m/2aI/chC88ZZwgiiLXL+yvB3dX26fOG9bLBgtTee6udDBUCdsNKOZV8oYy0YC0vjdMj2/DGZLTFIq5/bpuXlfS2Kxc0NLhj/Eadlo+vLvH5l6yz9nYG/LJ/QY/en/pyON221bqnGw7Abp6un1URsbXnTsrbSCpn5x15kf1oO1GNsSR8WKQRIH5qQJ3VjuIokC7bwMaxZyKaftYrk8xp6LIIm9frqPIEndW22w3TTb3hjQ6FtWSnqjjDz1UWUaWBAaWT7vvsNs6eF+SJmqasiQyW8sRRTF900tdNcZ1g4XpPDlNxnKT3MB716ZR5AN5jorBXttCEJLPUMwpCIJApagl7iGn4HA/1nRWs8jIOBXj6w8gp8us7fQZq9Pf3+jy9uWp9LGfPmiyMuqVGZge/aFLKZ809m80hlSKGrWSztpOEkvYLjzY6PHOlakj7wukDj9PS71ssNexUyHHw32X5+dLrGwlx1kpauw0h+lnerDZ49al/d7HC/MlVnf6aU3jaWOVg0xVDLpDF+LE/bRaMpirnyydOe5BOo77G93JfIsuP1bo9jDjHPNhJEmkWtLS184bCqu7fYjBcgJKORVZEgjCGFGAmxdrz/x3yjhKs2uzPRrgtZ3gsY4qGS+PoqEQRokgNkCEcOYGOCAZwkqGvwTcIKRWPHt7n3pZp10xqJcNJEk49b7vTaJS0NiU9nPyjxMKexxn7ww8o0iSyM2LdXpDF9Px2etY3N/osN2ykAR4+9J0moQs5FT+7d++wFbDpJjXmK4Y/MWvN9jtJIHLpaUy1xZLrDdM/vDP77M0XeA3311A12Q+f9iEOObSQoliXsNxA66drzBVMrB9n8/ut7n3SYfe0GNpJo/lJtOvY0swP0iCGtsNIE6m3UGgf4yqX9/0WNnuEcdwbq54qgLQ0PZ5tNUjCmOWZgvHDrGchOUE/PjjDfqmx7nZIj94e/7Uz83I+CajyBJvX67TNz00VT62mLrbtvj559uEQcS7V6e4spysR+Ob/hiBZDK42bOZKiUKfhcXyhQMhUdbPX79VYMoinjrQo2L8+UJ63PHC/iLX28k6890ge/dmuOLB038MMJ2AqIoQhAEVEVkabbAwtTxAcuYOI5Z3RnQ6TvkDYVaWWdzb4ggwPm50pFAYlwkD0buB0GYKPSHUYz8ZKEsAGZrOUzb44PPd1Bkkbwhc2WpyvduzjFXz+P6AefmJqfoXzetns3G7hBR2v9bvU4sx+fBZnIfWJguHFGLP6ucmy1yeanE3bUOeV1hqmLwYLNDd+Bguz6GJnPrYpUgjBI1Wtvn+vkaMTG6Kh9psPzR+4vM13N0hy6uH/JHP12h0bEo51VsL2Rzb8hWY0i5oPJb7ywee0xhFPNos8fA8igXNC7MHz/JP1Ux0DUZ1wuwnIAvHrZQZInLi6cf+HrReAcUIBgp2p1W6fbqciUtJJ/FTf7TsLE74Fd3doli+M71Gc5nzbJvPPWygaYm15sfhHSHLpaVKNLstkx2WiYbDYVzs0U8L+DSYpk7q23urLRpjZoJioaKICbXeDmvIgiHJvpjJlRUugN3lICMmakZTFdyE/fnZ2Gs7NUdOMiSeKrk3frugGbXxtBkLi+VJ4o0GRnfdKYqBv/mD87x//nzB+x2LD673+Rnn27xlx9v8v61aUp5lX/1wQqdocvSdJG/+dsXsRyfj+7uYtohw8AnjEJ2WibNrs0/+dOvECUJzw+Zqhj86L3FV7I/navn+bd/+yLNrs1UxXii5XdGxjeRKIp5uNVjYHoU8yqXFsrpHj0MIx6MYgVDl3nvyjR7XQtZEpk/EB/Lssjv/8Z51vYG6IpMpajxRz9dYWh7XF6q8O3rM+ljq0WN9b0BjutTKxmICyKW46MoEqIInz9oEoQRC9MF3r5cTx01+qbHn324ThDGXJgvUszJ7LZsaiV94h7ueiGRESONlKELOZXewEUUE2dB+4ATyG7bSmPTSwvlE/cj7b7NvfUuQZA4BQxtn+mvUR/3R3f3eLDRpWCo/Oj9hacqwGacfWYqBg82e4R+xOyyQRQnMcIP31+k2bXRVYnpisFHd/eQJZFiTuVa3WCn7dLs2VRKGqIkMDBdukOPWkkb9yGgazJvX55iaHm4XsiPP97E9QKuna/xzuXjGyYAfv75Nuu7A8oFlR++t0TumKKl7QY83OzhByHzU4W0kdjzD6nz+yGccG17fkROVzg3V0rWjihifbfPXjvJVQ4sn1bPwQuS+N+yT1Yt2+tYiWuwJHJpsfxUDdQZGd8kvlxpcfthC1WR+M135pmqHD8EcDBXUcqrRDFcWiyz3RrieRG7bStVg4XJnAOMr++Tj0MURX7v++dZ2emhKUkeNIoifvrZNttNk2pR53feX0AdDVWEUczDzS5Dy6dSTHKaB10oDuYNbcfnj366QhhFR/ZBYwo5le+8NUPf9FBkgWvna1xarLDTMtnrJIqzB2sgkAya3V/v8Isvd4nCiHOzJeank/3Yb70zD4KAH4RUChrSMflWxw14MFo35+r5tDnrsAvJSe6FXjC5vh5ebw9iOR5/8estBpbHhfkS37uZORllfD2JojgVU3vrwtkPEMYx3lYrG+LIeHZ6QzdtqL4wX6JeNvj29Rl22iZ3VtqIokhOl1FliYWpAhfmS5TyKoossdUYcvthi4Ht8/NPt2j2bHRN5tvXZojimKmSyEytQDmvYdo+nz9o0B0mDlG1E3p8xq4c3aE7UTfQVZl/67custUYUMipR5qWL8yXqBQ0ojipefQtjzhOchpjHm72+PjuHpIk8v1bs8xP7Te9Di2PH3+8Rd90makafPfm3LHNyxkZGcm+8uFmD9sNmK4aE9efKovcftTef+yhfb/lTO5dE4fx0XU6qk2KgkAUJZvrzsBhZTvJEz5v38HBfNpvv7/A25fqmI5PXlcIwmgiN/rD9xZZnikSRjFTZZ0Pvtih3XMQJIFzswU++Hybtd0BpbzKj95f4t/6zQt0+g7T1RyaIvHFw1a6j/eDiF9+uQvA927MPlY0q1bSuXWxjuMFFHPqE91PNxtD9toWuprUTQ8+/vD+vz1weLTVJ4pilueKj3U5fhJXlvZ7KQQBvlrrpr8rFTT+179/k7XdPnP1PEszL0ckbKdl8nCzS7PnMF/Pc2Wp8lIFRN8UDv9dHxfnvcnsjHoaXndP0bNieyGSkMT9ANWCgueFqOrZ6l0oGjJ7QBRF5A31SB7hLKDIIp/fb9Ls2VxerPCdt2Zf9yE9NQdz8ob2dEIfB3lzuky/AciSSLWos9e2cb2Qj+82WN3qY7shv7yzQ/+ApVdOV7myXGW2lkMUBSw3wPcj/CBClSX6TkC77+J6IQ82e/zZR2t89qCJpsogCNxd61AwFN65MsWVpSqVks7Grsle28LQJEzHY69jMzA9Zqo5TNtnZavPbC0JmC4ulNEUCVkUyOeUY21J7693cdzESvnBRo8wio885jAPNrrYToA72hgeTvY+jo/u7NLoJN/dvfUuK9u9Uz83I+ObjiJL1MvGiQ38P/l0i4HpYbkBH3yxkypk5HR5Qjlrs2EytH26Q5f7mz122xYPNrp4I+tEy/Zx3JDbj9pHGjI+urOXrn8PNnusbPf40beWKI2Ur5Jj1JmtFcjrSjp0cRLtvsNe28IPIjp9h198sYPrhThusiYdZqaarKfVooYkCRQMlUpRO5XV+UE+vtsgjGIcL+SDz/e/q+XZIleWqqhv0ACHHyQDA64fYjsBDza6r/uQeLDZS+8Dj7Z7ZzYwOcwHt3dodl3qpRyaKrG62yeKE+feKAbbDQmimM3GkO7AxQ8i2n2HalE/Mdi/slxlfqrAo80+rhfSGXg82h5g2j6tgUPgR/SGHrvt45P8uy2Tdt/BDxIF3L2RgudxFEaKddtNE8+Pkn3BTv9FfDXPxEFlubyhPFWyVRCE1CnkYIH368hffrrF0PKxbJ+ffraVuCxkvPEUDIV62UCRJRw3oDVwsZwA200GqYaWz3ZziCQk9+e+6bHdsnC8ZN/d6JposkS1qNMZOPhhxNXl/cJl7oAaSxTF3N/o4nohYRjT6jnPPcAxRhqp25xmgKM7cNlumvhBRN/0WNsZvJBjyMj4OlEp6ontdwxr2332Oha2G/DjX2/yz376iIHl4/sRW80hnh/x2+8tMl3Jj4YzBMIwsesWRZEHm30+urOL7QZs7g354lHrlX6OK8vVbIAjI+MEdtom7V6yR2/3HHbb+3v0raaZxgq9gYsoCSxMFZip5o4oL6tqIiiwNFvkF7d3Rgr3IbcftthsDNPHrWwnSmq6qjCwPGRJoJTXyGkytpPsPTw/YmW7T0zSxJnTFX7yyWYqgPDBFzt0Bh66JmN7IXG0v+e8tLA/mCkI0B+6qIqELIn0TS8dUBEE6AzcNDZ9uHlyTs/1QmwvwA9jeqbL18lYb3PUJON6Ia2ezS9u77zuQ8p4xaztDpAEAVWVWN8bEkVJTqRgKFyYLzFXz7PVNLm72kFAoFLU2Wza6JqEIAj0TQ/fixjaAaIo0Dd9mh07fX1NSfJ/H99r0B242G7IJ1816IycPg/zcLPH/fUkXthr23z81d6xj3u0lQyYeX7E6nY/HSKfreXSIRJDkx/rVFMr68iyiKZIVIoaja5NFCUDIj/9dIuclgygRlGM70cnvpbjBaxs9/H8CMsJeLT1+nIXGRlvMr2hy4d39rDdkN7Q42efbT/28QdzFZqSOFAHQTKAMbT81J0aDl37ukzxFC5VsixyZama5kHvrfVY2Upynjstk19/1Ugfu90c0ukne6JGx6ZxYJ1L33/E6s4A0/aO3Qelj6/mKOZVFqYLLM2WuLhQxnZ8NvaS2Gpo+bhewDiNqCkSQ8vjV3d2GZge7b7LJ/cb9AYucQw9M2lgTZQij68FrGz303VzbWeQNry9c2UqdfHQFJF3L9ePff50xUj3UZIkPNYB9Ze3d2l2k73g3dVO6sKWkfF1Y7MxZGgnLqQXF052IzwrLIwGw5odKxXZzMh4GuI45t5oLz/un5mq6BRyCiCwNF3E0GQ6fQdDk7hxoZre6weWx8bekEJO5d5qh8bYRdMN+PR+g1pJR5REXD+iWtLpWx6tnjuqybs0OicPH0kjd8HDdYOcLnNluXqi6vxYwV8a9VTVDtT4HC/gZ59tYbkBA8vjp59uTTz3l7d3afVs/CBis2HSN73j3iIjIwNY2xkkuYUgYqth0hu66fWXNxRKhf29/dyhfOTV5WrqGqyqEu9dnU5/lzcUCjkVXUsEZ1wvoNGxKYzcgJ4ndt9uTubTfnV7B12TqZcTocrjcqPn50tcWiyjqRID28MPIzwvZG1nmK6djY7NR3d2qZcNrixXKRe0iX38ylaPP/1wHctOavF/+ckmUfT4Wnx+FFc9aYCjb3ps7g3xg4iB5bF6qC/jcL5lr21ju0mPzYONLmH47D0BB3spSnltom48W8sxU8vx3RtzL22Aw3J81nYGrO0M6Q+TmvH95/xMZ4VxbgySwcez6Bo1/vu9CT1Fz0rkxzR6DiICIgJ7XffMDXAA9EwfAZBEMXUiO2v8T79Yo9G1iePEgehXX57Nesk4J/88QkNnaxTqa0AUx+nUaRDGRMTEcYyAgOcFcEyTYhzHTFUM8rpCHMfk9KTwepCeuT/xWhxtjpZmCuy2LXbbFudmi1i2z/31LraX2BReWS7RGXh88bBFz3QJgpB6OcfSTIHFmQJvXajgezF/+OMH/J/+zz9mqmLwf/w771Mu54jjmODA5iSKks91nOLMQYLRTbfTt/nZ5zv8ya/WuXmxxt/60eUnfneON7nguO7X/wae8fVmdbtPo2ujKRJXlyuvZTrVDyLurXd4tNlDkcWRooWA5wfkdBlBELh2rjpq9hDZbpmpUw8kCnum4/PJV3us7w7J6TKVgobvJ4p6orhfxLCcgL2OhR9GGKqM44a8fXmK/83fvMVn9xrcXevQ7tlUi0nhWpFFPvmqgR9GLEzlWZgu0Oxa/MXHW7heQL1sUBklgKI4TtT+RgRRlKytBxq4S3mVty/XcZcrqbXiuCA8sDwebHQJwpilmcKRBFIQRPzZRxvstk0ebPY4N1tElkTiOFH3eLCZBHoH39NxA7aaQwxN4VvXp19akPM4wmjSSSV4AwKfgemxttMnjGCqohOE0ROD2LOAZQeJ2mWQfJ7l2SK6IpHTFJxRUvGPfrbCn/5qjYEVAjH1ssH//t9/l6Kvcm+tg+OF1Mv6RAHCPXDv0xURVU0at03Hp1rUMTQZSZwsFnb6iRLDXttCloVUAeNJf/+Dg5V9y+PDO7v8+u4eV5Yqz63gttexWN8dIAoClxbLT2z6nqnmKBgKfhBRyKnHOog8C56fJLItxycMYyRJQJUlLi9XXrtLzdMSRdHE3zQMk72ZnM1onwk6fYfP7jfx/QhFEhGF9NaKLAnkdIVPH7R4uNWjP3SxHR8viEb5upiZqoSmiDS6Nr/4fId//9+4xqXFOtvNZHjr03sNLi0mCtfRgUHrcLRnf9pr6td397iz2kaTJX77/cUjjaQHieOYB5s9On2HnK5wdblCeCip+SbcjzIy3jSCIErUmWSJjb0BQigke03bpzNw8PzkurG9gM8eNHmw2eHOSgfTDoiiGE0BWRCRRIGVnT6iIOB5YeK29TUZms3I+DrgeSEbewMsNyCnyaiyyFZziCAIEzk1QRBYmslTMFQkSUSVRb542MJyfOplg4sL+4rU4/VhzOp2n+2miaqINDs2nz1o4vkRCzN5bl2s0xt6FAwFSRb3NyBx4gTCKDbrmz7Nng0x2K7PdtvEtgNyhsLVc5VU1alWKvDobo+dlsl8PUelsF94UhWJd65M4bgBoiDw5cq+kp//mL1ApaRzdamCF0TkDYUnS8Y8HWEU82CjS2/oUsyrXF2qnNiA+Ti2myabjSGyJHBlqXIqRw3XO6y2lu2JvklYjk+jY7PTMgnDiKmKwU7Twg9NBpaHJApEMWw1h2w3h8QIiQhJTuHmxTpxHCMKApIoJsOdYYgiSYy7jqMo5uFmj87AYX1nkAxWmYmC7Yd3dqkUdTRV4tq5KtaogWJ1p4/l+GmB6fA5OqbZtfjobgPfj1iaKXDjYiL4NC5OeX6YrCuPuZbG+c8//vkqm80hH99tYGgSs7U8lxbLlHIa37s5g2kHlPPqiXnSMIw5uDBkYgYZGcfjB+HEtfK0QjrjYc7919u/1qYqBjldTvN2T6oLHocXTLrtHIxZDr/34RzCwbxhs2fT7u0PqvWHLq2ejedHTFcNzs+VqJZ03rk8hXtgreqZLl+utNhuWph2sjd698o0b1+ZYn4qz8PNXrq+dIcunYFDd+hw69JU6vx7MM94eH92eK8z/v5kUUxVS6crOq2uzcJ08UieJqcrvHtlCssJyBvyETfT9d0BP/t8myiK8fwAUdhff13vZCejjIyzzP2RSNnlxTLyM+zf3zQqBQ1Dk7DdkN229VpqiBlnmyhOYoAwithumlhuQMFQuH6+hu2E6AsSrh+w27aoFHT+L//sy6T5WBDYbZs0OokToB9GyLKILIo4XiI2ZWgy8/U8QydgY2/A5w9bBGFEwVAo5dVjBdSGlseffbTBwPJYnC7ww/cWJvoEjuNwLeHaucqxDt5BMFnvPuwOcDj3eVJck5HxTebhZo+Pv2qw3RoyUzE4N5fsXQ/utQVBwPdDbj9qoSkSy7OFidcoF5JYfadpcr5cYrpi0OrZ2G7IbD2XuANt9YmJqZUN4pg0tn/auuAHn23zk8+2EEWBWxdr9IYupuMjiyKFnMLd1Tb9kdOxc2j/2+ra7LYt4jhmumLg+yFru30USWSunp9Yw0wn4PajFqaduAC6BwYroyjph9LGjoFhTBCB+gK2IYe/jyCYjIEO51sODr3HcZLflF5Ai40oCrx1ocbQ8lBk8ZU4nY4Fwse14zCKieOk5+vsdw09Hl2VeefyVOrE/bSCw28CYwHZzsBFlgQuL5294WrXdwnCiPFlGAch/b5LqfRk4co3inh/T6QqQiq6c5awD+3ZTOfsfYYXxdmPcM8YsiSmTU/Lc0VKuSTIWZjOH7EyHt+4BEFgYSqfWq7M1AxuXqojyyJRHFPIKfzOe4tMVYykmCMK/PC9BXZHCvVRFLOy08fxQ1w/JIySZmdDVegNPfwgYLMxZGD5SdPX/SayCK4X8+FXezR7DmEUsdex+X/8T/fTY1qc3t+wTVeNUyVqx8/5+F4zvSHfftTm9iFl0ChKhlsOcutSLZ3qLeZVzi9kyYyMs0tv6LLbtoiiGNsNWDtBHSk+MPj1LDzJIWdjb8DQ8lmeLaQK4MuzBSpFPX2uKAqUC8kE9q1LNWRZxNBkygU1GfqIk0BhumowtDxsL+DGxfqRxEwxN2okjQHitNgxVTZoDVxymoyhK2y3bGKSZgZ3pMC3vpuoVf3y9h6W7RMESUJqbG+mKhLXDzgGLUzlj00g6apMuaBRLemUC1r6mEdbPWwvea+V7T6OO2kFeXetw07LxA9jCrrM7sje+NxckZ7pYo8U1O+udhiYHluNIb/+ag/Pj+gNXe6sdI7YSz4Pp3E+Gn/eenlfBfnguv268MOQIEzWeMcNn6lZ5k3k3FwRQRTSe9fNSzX++neXKeaPGSRKAAEAAElEQVRVcrpCZ+CiyxJ7HYfOwCGKodmz+eCTHdZ2+lhO0oDZ6NgTCpkL04X0WikVNC4ulDg/X2C6khQrNVXirQvVdJ0YJzyDMKKQU2h2baI4RpFFpqtHm649LyQMk41xMaemg0331jrIkogfRNxd7bB1jIrdafGDRNk3DOPUHWbMcff7MTldoVzQTtxfnPY6OMjG3hDT9nHcgPsbXboDN1Hx3Dp77l6iKPLW+X33hSvLFXQ1m88+C4yvU02TUVWJKE721oYmIwigKxKKkuzzl2aKBH5AGMfEUUwYxSiyhOkkyhaGKkEc8ce/WEORJVp9hzjed2KSJZHZ+v61vzCVf+oBjk7f4YuHLcIwxnIDfv7549U7Wz2Hdi85DtP22WwMk6KknpyfoiicqLb1JvK8e7GMjNMiyyLXz1XRFIml6cKoIAqSCPWSThiGqQNcGEY8XO9hOsn6EAFhLOAGMbbnoysSqiLRM72kWXO5AuyLL2RkZLw+4njUXBAnYiUbjWFSAAwihpaHJAmjwSyJmWqOvK6Q06R0HxtEMc2uTbvvpHvpGxdqCEJS6NI1KXEDjJJ4685KG8cLiKKIjb0hOy0LURKTvXQcAzFRnMTnOV1J99jFvJqsGXE8ctxMGj1sN+DzBy1UWUKVJf7kw3XaPQdNkWn3Pfq2Rxwnx7U4XUBTJMoFjWJepVbSJ353mPHnuXmxRk6XKedVZqoGS9MvNv+317bojpS0+0OP7ZZJEERP1QjuuAHru4NR42R0KjXBKIpZmi2m8Z0gwK1Lx6tvZ3w9WdsZoEgijps44IRRzBcrbXpDlyCKubvWodWz0RWJgeUTRRFRGHNxPhnO1hSZmUqOty/VyOmJUn7ekNP7fLOXrA1xDLP1HJuNYRI/KMLIFW/fpfXBZg8/CJmqaMkaESciB9cPxJhjwihmu2klObo4ZrdjTeTN1NF1fpr8zpcrbWw3icGjOMmJbrfMUa6/RDGvMV3NUSxo1MvHqxHmdDm9jhBgfvrsxBYZGa+SWknfj70FuPkU95w4jikYykjJO7lnLUxNXmtPyts9ictLZXIjQRVZFrl5cT+3P1M1kCWRKIpRFfGIC0UUxen737pYJx5Nq1SKGn4QYVo+QRiy27JSJW5dkyfWqk7fpWd6dIcOrb6D7YXsdW0295Lh2rl6nvPzZYIwZGgnbmaiIPBoq0cQRURRlKr0xjHp/mzMXC2XOnuU8mrqMvyP/qe7tPsuoijS6nv8619tsNMyjzSjQrK+Vopa2sx6MD/xs0+38byQIIgwrSDNr5YLKudOcH3OyDjrPNhIcvhnsVHsOARBYL6exEVbzZNdDTIyTkISBean8nRGTt/Vok5vmNSsl+eKSJKILElUijoPt5Nh783GkM/uN2i0LcyRcExBl1DlpB4oigIL0wVWtvt0Bw55XWanZZHTZIIgwvYCNE2eqE2N+ejuXuouurLVTwevxhysY47/u9m1aY3Ul007cck6jkJO5cJ8Kf35xoXaxO9vXaqnfUSVosZSdi/MyJhgaPvcfpSIw2iKxGYzyY3lDWXCUbtveXxyr4kAeEHIzz5PFNHH+cJPvmpgWj55Q6Hdc/iLjzeBpL650zT5YjTwFYYxpu0zVRvt44V9B6rDHFfvH9oef/7xBn4Q4XohH95JXEPjOBFzJYbe0CMMY/pDj5lqsvcOoiTH6fjJPjkME7GL7aaFJIpEcTI8UcypaR6kXtYYWsmevtN30RSJeCTGXSvrvHNlKj2uq8sVVFl8bH/DaRn3X0ESb81PHf1+jAMxzMJUPs2rTlcTp48giCacQZ6ldwKS+0m5oE0McDzra52GwsjxpVYyQIBaSWO6ahw7xPd1RJFFKkXtTA5wQLKHHdcb/DB6qefKy0KSFA7OUYURKMrZE4kZmG7630EYYzvuYx79ZvKDW3MoskgQRORzCt+6OvO6D+m1kXV6vQbOz5eYrhq8c2UKzw9HBZP95qo4jrm/0aXTd1EVkevnayzNFKmXDQamy8aeieUOE8WYvEocwVdrHebrBvWyTrWoc3mxwp3VfYW7pMk6Ucy3HI84ivnZ59sMLJ+cJiUbDCHZ8Fi2z731LtPVPJbtM7C8kdpzzBcPm/y//uQr/up3llmcLlAr6Qwtj/XdIY3OLjO13EQAdZi5ep5KQeOTe42J/3/QJnR1p89uy0KSBK4uV9OG0vmpAv/u71xiYAXUS/sWUxkZZ5HDzVPHNVP1hi731rtEUczCdP6pVFgsx+fuagc/iKiVdC4vlY8MNTzc7PH5gyam47M4XWCqYjBXz3F1ucbnD5ojlSeF6+erqarNlaUqM7U8rhtgaBKyJHF7pc3d1Tadvk3HdCjmFUq5/Q1+HMc82Oix3TKZreWoFjVqJQNVlvD8xOL7/lqHoZ0EfIYqIZDYIiZNrRLdQWJx2O7ZbLdMoigmrytcXixTKxtoioQii1iOnzbCPs139dVq4oIQhNFI+TDm7UtT6frjeAH317tYboCmiHz/1hy/+c48U5Ucd8dr7ShQi+J49M/+e7yoBlDT9rm71iEIEsXGS4tPTlZfXqowP+UjCsJrcXs5TDmvIS8kwa2myl+bRkJdVaiXdZodG12X2N6zkEWJP/idS/SGHivbXRp9B9sNEBDQFYkgiljbHZAzFEo5NQ3UozhmaPt8NfpbX79QpZJPipCrO338IOKvfXc5STBEiTXw+t4wcZGp5YlG56KqSJyfL3HjYp2CLh9pqPijnz5KBjclgd//rYvcvFjn+vkqlhPwaKvH2s4guf9HMR9/1WC3bXH9fPWpFRjieFIlc3x867sDtpsm0ki59knuHOnzo5iv1jv0hx66lgxwnTbITZPEkCp2FHMqlxZP3ru8yXz3xhyXFytEcXxig0vGm0eqJiIILM8W8cOImYqBKIHrBIiSyNAM+MmnW+R0me2mTRhFCKJAFMY4Xkg0cFAkgZ7pJg4dgnjkWhsnTc7PJWo4T3t/HHNYDeZJyZjD63qiBiNy62Id2w1QFfHMJOJ6Q3dk4RszV89xbu5srhUZZ4fv3ZzjylKyrttOwEd3dvmLTzbp9F2COCaIQkwr4v7QTRL2UboFxQsSN45iTuWtc1UqJZ162eA335lHV2WaXZtHo6HF83MlZh7jqJORkfHykGWRC/MlfD9ClKA33G+EFkUBUQA3CCnmFD691+TL1TaSKDBTNWh2HPwwcadQZIEHGz0kKRFZubhQxrR9aiV94t6daCgIBFGEIgj84vYOQ8tHU0V++N4ipbyKH0ToqsSd1Tb9YTL8tTidp1bUiKKYTx408Q848EoHUgvh/5+9/36y7MzPPLHP8edc79Lb8kABBaB9N9hNDpt+lpzZHUWspFCEFPpJ2j9EEfob9MuGQgqZ3diRtMMZjuGQHDbZbAs00EChfFV6d7053uiH99yTeTOzLFwVcJ+Ijq5M3Lzm3PO+79c9zxOJscnxr1RFxg8jFFnGOGVBbhqiBqCq8pn4fWOvz0Fb1AKvrlb5l797CccTQyifdf0vPtVkvbfd5b+8tw3At1+b59r62WGUpz3Hk/Lak7ndTNXiT7+/TmfgYhnqM7l3TPHVgSBkywRRTBDEtPouN+83eZA25Xsjn1JOx9AVLi+XaVQsCjmd+Xqeo47N37+/je2GqSiJIDNcWz12gRnfh14Q4XohlaLBTCXHTNXkqOPiuAEfPWgTxzFJIlGrmKiyxJXlKtcvVNnvOGwfDhnYPldWqiQIgYf+yKfdd2mUTSRJQlNkolgo0N/aaON6EaW8zpXV6lOHuaN0SDmOEyxDJW+qFPM6b11ukE9V8L0gSl1Hz38uSZK4slLBdkMURZqKGUwxxWMgyzI//vYyrZ6bka2eBQPb5+5mlzB1DFqbF47Zn7WTcs7U+fMfXqTTdynmdHLm8Voe1028ULgWj197aPvcSd/bTFWoB9tuyOpckThOKOZ0/u79bQ5aI8oFg9fWa1xdPf9cT4B62UwJHwmaIglnje0OsizRqFj86Q/W0FRBhAujmChMiNSE9z454Kcf7mGnar2vpeJS8am90TRULiyUKOS0Y4eOMGFcvEmShGbH5n/8z3dIEkGU+YPvrp5b4+v0Xe7v9FLBjwJRchzvFfM6f/qDVaJYmvZOp/hKYzwQfnm58qW+j88SC408D3Z77E1JHFO8IFbmijhewEFOz2Z8OgOP71yfY7GRTwXNeunvXQ5aNiMnRJLEWaTIMrYX861rDfaaDoamUizoDOyAzYMhhaFHb+DhhTHlgsHCTJ4/e3edgnU2l3W8iIPWiIOOjeOF9IYeOUOjUjKznDhnCsfgKErIWyr7TZu91ohayaRRsZ6YW//wnSVeWxczCyeHzsfX4S9+ePFzqyNMMcWrjpPiTooskcQxXhihqzInU+8ojLm33eWgbSPL8PpajTubHboDQW4YOj4HbZswijE0hZw1mY+f7h9eXani+efXAl0v5PZmB8+PqBQNLi9XMhG6KIom3HfiOOGb12YZOgG6JhPHsLnfx/UjUUNZKkOS4PkBlpFHIiHh2LW0WjSIkwRJkshbGldWKmwfDigXDAo5nf7Qz15LTYVqvUA893fXF7iyUs168Y/2+hy2bVRF5spqJSNrPy8UWeL19RqOFz5TvmXoClHqvmQZKr+8uc/tjQ6KIvHuW4t4fpR9T9fWqi88FxTFCXc2OgxsH8tQubZW/cxzQUmSuLZaZWW2KGrWyhfjADLFZwdVkQiiGE2SUc4RV37ZEcWinzHeZl5Qm+JLx8kdN47hOQ1YXwoYukJ74NIfeuiahP41juG+vp/8S0bO1DLW5GkHjs7Ao9MX7Cg/iNk+FAr9lqFy2HEIo5h2z82Y7O2By37bpt0XgYWhKdzd6jBbtbIu6lw9x2AUksQJSSLhpmpfJMKKplYy0VJlm8XZAooihksvr5aRJVIGZ0KlZOJ4Ef/wmx2Gjp+9Jz9lsh62bYa2UN0bK+ifhmmo/P63ltHShTdXs7i4WCFJEmw34KBlA6IRvLE/qWSXM3Xmarlp4jXFK49ywaBUEAG9okgszZ5VoXy018/W0O7RCPc5rK+2D4eZRXe7L/aLk+gNPZpdh1rJREKi2XWYqea4ulpjvzXKVH77I4+dw0mXkFJOZ6aao5AzMA2VJEnww4iDtoMmCTXOX35ykD2+O/Bo992sgRBECeWiQb1sstcc4XghhZwYHPH9CFURg6i6qjK0PR7tDciZGroq9qWxErmuKZTyGpoqn2jsSnh+RHRq4NQPoolBljCKM/LY9uGQStEkDGMO2ja6pqBIEve2Osd7WBJn7kFxnGDqSrZ3L80UUBQJQ1dZaOQpWBqNssWlpTJxkmDoYpD+sxjO2DoYZOqgza5Db3iWSTvef08myTlTeykIHCAKabqmYOgqM1XrhQaKX0a0+uIslCWJ/sCn03eJwpiDtsPibAFNUyABXZWQFAkkcV6/dbVBMa+z2xrR6jvkDBlNkXmw3cm+607Pw9BVWj0XRZYxdZV2z6WY09hr2QShOIO3D4aEUczKCcLX2nyJcl4/Q+DYbw358F4TEKzsv/n1FkBWvBgPdvqpSoVpCBWex6ngPAm6pjA/dgKQxD1gu0HWmDjvvH8Sml0nK6a4XpS5hMTx42OPMRZn8qiKjIRILi1DFaSrV49Yn6GaDulO8epAlqVsncqSxFKjgGEomJpKjCgMSlKC74f84qN9lNTKPIpSlz6EKoskSYShcLhRNYUwiCjlRZErQZAOxuthnHs8DSfPxzFmqrnMMlmS4BtXZ574HPWymZHSVFXO1DplWUqHTl8NAgcIteTxdd9v2Z+pq9YUUzwO433d9kJsL0SRJBw/JAwSJCT8SMTCJwuMkBYZJeHEliAxU7F4fb0mfk4SHux08YNjp85XUR1niim+Cpir5bL8rJgzjlWnJdBVhSBMsHSVZs/hl58c4AcRnhdx82E7Iw64XshRxwFELP3erUNURaZcMAijWOTdYQwkx0IrSUIQRQxHPlEc4wYR798WAiuKLHNro0MzfU7Pj9BUBUNXMHSZP/ruKtVU9S1n6fzpD9YJo5gwivnejQUKaZMtZ6oYmoyhqaiKzKO94xjf9UN2j0YYuooiyzza6xGl8fvQFg3g8efZ2OtTSOsO59X/oijG/xQdidmqhWmIeERVJB7t9QmjhDBK+NWt/QkFu8chZ2rMVEUMLkmwPPd418ut/eM8/qjjYHthWlOZEji+blieLdC3fSRJQlYkRiMPJxBupb2RL4REJKEyuzpfplHJkbc05moW//TRHmGUMLQDbm8KNwvHi9g5GvIgHWhsVCwsU+Wo4xBGCZdXKiCJNb48V2TzYIjtBhQsjf7Io9UVj4uSmKEbZoFFb+jT6rki904V7Jdni7h+hK4qLM8Vma/n2Tka4npiLfZHPs2u89RrcHGpTIIQetJUmVrJ4tpajQuLQqREU2UhXPWU7um4djElcEwxxZMhy8KZ91kJHCDy4HEdvdl1RJ3+MxraGdfuxqq1uiqnsdHkWt46FG5Xlq7SGXhZDXzzQLy3JEnYPRpxf7ubDhdp2G7Ixn6ffqrIO7IDNvcH5C01ixuiKMb1QrwgYrGRZ76Wp1GxqBQMigWDJEmYr+Wzz37YtnG9iIVGAUWW6dk+jYpFs+fS7joULJWDlk1vKFSMa2WT3eYo2xvdNKc7Ka71z99dp2AKx3JVlZiridzPCyLafZefpL3X03g47hUlsH0wFDFk+rRX16o0KvkX7p36wdl+yhRTvGyI4yRz+L70FSJxjFXJpySOKZ6EOI7p2/5j3SPXFsrkDZWjroOmyZTyOg93++RMobBfKuiosoTri96xIotechQnqKqMLEn4EXz7zXkUVaI79LAMQQD1/Zj+KEBKoJBTURQpG3AGIdQ6jhtKBQ3HD+mPfGRJQlMlfn3rcCIn/uRRm0GaY3x0v4WspMN7fZc4Sc5Voj+JRiV3hsAxxpPqCFNM8XVHMadxcamMqsgM7IBGxWKmYtEZeHSHHkPHpzd0hKudG4h5nCjhqONkc0ZeWr+QJdGXlCS4unJMvKiVzcwpFEQNRFVkNFVGPSfH3zka4vkibh7PE41RLli8lTpgSBL87jeWqJbN1L1CZ7ZmZf2NOE64udEmSsDQtMx1I0pE7fLKapVLKxU0VYjCXlgsMbB98pYuyONRks0uWqaK7QVCkFMX9ZWh7VPI6ZTyBkPb57BtC4eQIGRzf/DE2UgQfdfH1THHfdNnybce7fVRFVF3vfmwxc2HQmg2ihL+/v2die9p++j55znGOOrYDGyxTzte+LnFKOO6TjlvTAkcrxyEoLEsiXUTvYKtRl1XOBHOIMmgKK/O/MIYJ7cdGV5Jd5d/9w8P8f0IXVM56rr87fubX/Zb+tIwrXK/hDhtu/UsLlxJktDqOXSHHnc3O4DEwkyeb1ydFZZemsKHd49YnMnTHQiLYEWWyJki2WpUcuiqjG7IzFbylPMGmirT6bvoCgQKJGGCLEvc3mgzcoWK3I+/s0IYwf2dHkkilG6urlb46EELxxVKu6+t1c4MD19eqfLf/Tc3aA08DtsjPnnUxjJUVqbWhlN8TSDLgl3sBRGaIp8ZsAYmp7I+J+iawoXFEpah8ubF+kRDYWj77LVGdAcecULWUD2NvKlxYaHE7tEQWZLPOH6MYegq64tlCpbG9Qu1icc1yhYFS6NaNPDDmP/0i028IIYkZq6ex3YDWn0HU1eZb+QJgphqyeDOZheQ0FQZL4j45c19bC/k0lKZP/jOKtWimSl6SpJoFscxPNzrQSJUbpIkoZTXWV8sgQTVkpEOlEsoiszr6zV0TeXKSgU/jNFVeUJhpJDTeefKDEGqOOCHMZ4fcmezSymvUcrrX1hR+aRDgaJIXFurUbBerqSnXrYoFwyiOHklg8jHwfEC7m31cNyAMHUZUVWFIIqwvYBywWSmYqHKCqoG//J3L3N7o0Wr49Lq2dzZ6GCZOpKU8MbFOv1RwKXlCjMVMRiUJAnJOZtCb+Cx0xxCIoY+QdzXjYr49+OGpZ8WW8zVcvzOW4t0By7tgYcsf7qi5+p8ifl6Xqh2pq45nyWCMOKTR0LlztCVdN2e/ew5U+PtqzMpk1sRxSaZc1WDppji88TJdbp1METXFbpDH98PeZQW/TRNwQ8jIhJURSZShEq2JMlYhoIXxCTAyPG5t93l//x/+xVr8yWWZvLM1fPsHo046ji8tl57JgLHUceZOB9PxuW/980V+raPrspPHZRSFJnrF2oixlGVpw5gTTHFFI+H7YX4YQRJgiwnqLKMHMYEkXDSPFmgU2WJRtniykqFty7P4PoRm/sD/HRAafNggOsJwvSTho2nmGKKzxe6pnDjUgM/FMPQsiycNCRJYudoyGFKZkiA/eYQ24uQJSgXdb7z+jxRHAsSw2OGN7I/BkBCkiQSKSFGQkkSbC8giIQjWE7XuL8jzn5Zllg9cfb3Rx5bh0OIE66uKfzJ76xz1LJpVC0aFSsjdxcsjX/xu5cYuQGGpmREcXhyzuF6ER/cOcpIJ0mqhjfx9s9BdyBcsuI4oV42XyjX1lSFNy+K70BG4uc39zOSeKWgE8fwLOnPhcUyizMFFFnK3EvPw3l53BRfT5QLBmsLJaIkYWu/T28YsnMw5OpqhcVGkbX5EgszYqh4XOfSVAWSGNsN6Q89Rk6A44V0Bx69oXDI2G85bB8N+WffXObKSoUH273U1Stiba7EldUKtZLJ5r4YfOwOfXRNIW+qJHHCva0evaGPLEsszxbPrdXM1XJcXSmzMFuk9AIEpDgWDt9/8+st9o6GFPM6/+J3L3Dj0gxztScPak0xxRRfDbh+yK1HbfwgxjJVXl+vPf78fMzROXbo2D0aYrshnb5LqaBP1Ck0VUZVZWJgaAf84we7KYFWwXYE0cPQFS4slnn3rQXm6nk6PYcE4Sh23ntamy8xV7Vo9V3eutzg5iMxMKWqCnP1HK+v11iaLZzbFznd771+ocalpSLhVpwR8+X07x7s9rm92eFu2nv91mvzj72er6/XubJSI47jFyaGJknCve0unb6HLAuXo+ch/EwxxReJvZYQhNNVmZVzRPFeVSzURRy0+ymGLaf4asMPY/76Fxu0ey66rvAH3145I+plaApvXm5g+yGqImfniu0G3Nro8F/e3+LR7oAkFpa+CUIBvmBqXFmtUcyp2G6E60bMpsITmipEpebqOUxDZaFmcfNRm6Oey1/GD/nT76/RHXrsHo1AEufv9sGQOEnQFIWcqYAsn8mHk1M/KJLMaupWfuNyYzrIO8UUnxMkSeLNSw0uLle486iFF8RZ7PrezQN+feeQJIGV1I0+BhTOqWkloieRkEA6H/j6elHMRqS1hLHoiaYq3Nvu0u65yLLE5eUKlaJx8qkmn/rUL/7s3Qt87415VEWhVNAzsoSmyOy1RqwtlERdUZG5s9nmoOUQJwmmLgQcSaQsFv/h20u8dWUGXZXpD31+8psdHE+4e9641ODtKzP4YYShKSk54ph0sd+yM4JJvWyw2xwytAMkSeLCYumJs5GtnsODnR5JArO13LHYzqfFtNQ4xUuBBBKZV3UKQOyBqUPRK+gmAqT1i3S/kiF8BZVrwzBi5ATEiehzh68iK+gzwpSG/JIgCGNsNyAIRGBQzIuim6bK1MsmXsrMXJ0vkSSJUHqvmMxULeoVk1JOF8rmmkyrlzJUE3j/zmGmqPvNa7MUczqFnEqjYrFYL2DoCouNAo4bYhkqa7Nlml2HKI7SpuyARFIwdA1NU2l3bToDj6KlEUQJP/1wD0kSCgBBGIGU0Oq5OKmKvx/E7LXOZ2aqmsLQCVL7YMHitN2AuVT9W1EmG8ifFeI4ptkVjiFTTPFlQpIEg/skgWPsSOMHEWsLpYy5vtDIP5eTwvJsIWOMV0vGREIEonFcK6dD3prCpeVKlqjN13NCua/roGsKlaLBUcdhMBLN4pOqTFE6OGGZGpeWKuRMFVNXuH6hju2KNV3K61RL4vVNTeHSUlkMkiQJ5dSNpFzQ0TQFy1Rx3ZAwTsS18I4dJTo9j5mKhabIGLqC44UMnRDXDxnaHj/9cFc4iCTwYKcnLBS9MFP0TBKhJLZ50M8Sm73miLlaDk0VFn2XlisEQUwQJsxULTw/4qBtc221SqOaw9RVSgWDGynzfwxFEUOtkiShKTKbewOCIMLUNfwgod1zOY2T3/Uzf69zxUxBpJaqDZxEd+hlwydRlJxxUQmjWHyHX7LyslAJePkJHEEYYbvBmWbbedg5GOH5PkEYEkURA9vHdsV6sXSNy8tlgghkBf7ou+tcWKyga+L+v7/dJ0yENehR12Vrf0jB0niw08XzQyoFnSCMmK2a2Z4wVxeFVEkGKU2NZEnKcnahJjF5jW03wPXF+bzQKPBmeh+risQ/e2d54rGrc0VMQ6VesViZK5AzRNF2+VM0SHRNyfalnKll7hyyLLE2/+xFi3rFyqxJDV1hcabAQaqMB0I5eCNd/+dBkSWqJZP5hhiM0VSF1fnnizf8MOaoY2fXc4opXgRRlOB5EaauIEsiMY3TvSCMYuIoxjI0VEk0XmarOQp5g2JewzK1TKkySSQGIx/XDzns2mzsD9hP4+8gjJ9ZJeX0+Wi7wcSZUcrpz6x0m8U4rziBY3W+eGbfnWKKzwtBKOK0sbV5rWSgawqyLGMZKoaukjN1dENFU+QzTQ0/Slhs5LmyWiWMxEDQWPl+r2VTzhsgiSKeoZ0lWD0uNo3ihJETTLjaPSscL3wuN8Eppvi6QJbFOTk+Y8Zx8mIjjywL50xDFa4XAEhQzhuoqkwUJ8zU8lxKle1kWeIb12aRJPD8EE2VCaM4i7sf7nZRJBk9/VtFllPSBhRMlXGbpZzXyZkqrh+iyhK7R0MUSQgb/ObOEbYd0KjkiGP48H4zG3LcPhgiyRLlgnDqXJkr4ocRQRRxYbGU5aCaqrDQyNMfebjB8fsE4f5rpDGGopzNDeJY7E9BGGXK3ACtnnumttfsOZmj8bN8B4oqC+J86mbUqOay7+VZYGjKEwkcIHKr8WMaFUu4LUzxtUOUroXvXJ8jpyt4fkTe0sjnNHaORpTyOpoqUykIYaWT8bQsC6VIVZFRNZm8qSJJQkxCTpULd49G4sxvjshbKqoi4QcRiiJRyuvsHg1ZnS9hGhpRnFApGpimhh9GWIZKFCfISLR7LqahYBkKjVO59/pShVJOz2oLizMFJCmhN/SwdNFveBx6Q49PHrVpdV3iRGLohjzcGRBEx663Yp2/es3GKab4PPBl1nBX54soijgLZ6rWp3aOctOcYK85ypwBO32X/dYIPzi/9rrymBr4YiNPb+jRG3iYmkIhpzFKhWIWZvJcWCwzX88Thgl5U6Fc0DlMncZub3TYbwn38qEd0Om7bB8OsZ0AQ1ezPs34zK6XTZZmi1xbr6KmbmTff3OBUt7gykqVWtlEliSuLFdYmi3geCF+ELHQyGPooiZbTBXBT+Ljh222mzamLnK8vZZDuajjBxED26NSNIgT+Iff7E783fqJXtHybAFdU8iZ6qf6fgZ2QKcvFHvjOJlwYB7aPs2u/USHssd9f1NM8Xngfuo8dmGxfL4o3iuKsevA42Yppvh64uT+en+7k/WYbSfgV58cnHm864XEccLlZaGIL0lwYbHE7tGI7YM+2wdDxLEqZYKEuqaiqwqlvEa5YLA8WyAIIwqWRq1kMlvNCUKGKvHGhRq7LRvbiyjndYYjn1/fOhQEDkRe8sGdI5IEcoZGzlJRFAVVlvjWa3OszB/nxK+t1bI5qOsX6+QsDUkSdQBFlqZO2FNM8TkjZ6hcXashyxKeH1Iu6vzm3lHWa7i/1UZTZVGLUCThWpfOGemajKJIRHFMEkMYJ7T7Lo4XMhh5WdwYRcLFY2D72f4Vxwlbp+p1y6kwiuuHFPIa9fJZl51a2aKUzhOdnK2ar+cpWBq6qpC3NC4tlbMcJm+pDEY+iiyEJUUeEhEEEX4oxPGQxBxIHIvnjRPxnuNE5ENJkuD5IfWySXtwPOezfTTKiHKSJERwnjQbuXUwyK7tYdvGOdUrOVnzfBrWF0pIaf3y9Qt1Xk/dnRVF4odvL2bXSddklmdefJ5jpmJRyIleqGkoT3VI+jLxquYjn6bn9nJATCf5QUQUC1eeVw1hGE+454RR8kzu3C8bTP04L5IlKOZePVGGt67OoGuiN1TIabx9eeZLfkcvhs9iXU+dOF4C9Ec+dzY7uH7IUcdhoS6KfG9erLHbtLm/3QNJHMpKmnjlTI2lUoFLS2VUVaHTdynkdBw3oN130TSZoe1jeyE//2ifkRukCViRty7XKRcsFuo5HqXWyA92epi6QhjFKLJEGCZ8dL9JdxikAyMKiixzeaXMxl4fx49xAw9Nk4ljoZanKIKRf3qDPq/52Rt63N3qpkOXIcupSo0sS6wtlFieKyJLnKtc82kQhjF//ctNml0HSYJ331p8rLvAFFN80TjpoiBJcHm5wrdemyVOeO4hyJyp8c7VGeI4eWxB8/JyhWghTgs6x8+vqUIZNIpi/EAcMEEY88mjNiChqjLX12soiszNhy08XzSF/+wH62iqwq2NNp2+y//v7++x2MhTL1u8fqEOi0n2WnGccHujQ7Nrs3M0wvVDml2HIAgZ2D6VgkEcx3SHEpWCkRaeIG/p5C2NJIHuwGXncCAIIUyqWkmShCLLSKeumyxLJDFkU6qSeM6T12rrYMDu0TC7JrIsoesq//zdC/h+iP6EAdYoEtfpwW6PoR2wOJMnZ2pnVDyTJOH25vF3fXGpfEY55TwULI1vPOF7Pb1lnvxebTfg1qMOYRRj6ArXL9Qe69IwhVB4vbvVIUlEsPhaWtB4HLzAZ+REKbtZQtdk1hZLdFNlBk1VWKznKOZ0FFlGliVmKha1ssmdzY4gYKbfl6KINSJLEkgSP/nNDrqmoKoyv/PWIkuzxWxPKOcNrGWVJAFZkXjcW3y42+MobVquzBVZaOT5r969wI+/vYqunLUHLOR0vnHt+F6LorN7xafF6nyJpdnnP+8VWeL1CzWiKM7Wwcnv5qhj0+w5dPoeizN5lmfPJ2iszZdYfoHXt12ff/+zTWwnQFcVfvydZRqV3NP/cIopTmDrYMDW/oD37xyCJFErGYwcn97IxQuEwr6pSxiazMpckaKlU60YSEg4boCsSNze6CJLwuo4SWDkBMJKXJpcE896e59UnPDDiI8etCARw4mvXzjf3earjnLBeOFYbIopngdDJ+D2RpsoStA1JR3GjlAkWJktULR0bC/g8nIZx4sYOSGP9rvsN52MwClLsDxfZHWuyM7RkEd7/UzhfqGRo1wwsibp6SHLJEm4u9UVltsSXFws06hYBGHEzYdtPF84eLy2Xn1mMtPYDQ/EkNHip2gcTDHF1wUD2+fBdj8jOcxUTWZrOWRAVVPChypqdyuzFVbnSsiSqCuCyDmiU00ry9Qo5Q0SoDdwURSFJElQFCiVDC4tl0lSBb04TtBUmURCBBDjtFk6tkeXEEqZY0gSE2pbY0U8ECIDj/b6RFGCoSscdWx2myMkCeZr+QlRgtX5IuWCcSY2j+OEWxvtVOGOrAY5xsmY5x8/2OEfP9wlSWBtocT/6o+uPfWaS4i8YKkh9igt3YM/S5zOrab4+sH1Qz552CYIBcHqX/34Co4nmpydgUcQhmweDGh2HVwvol4xubpanbjXX1+vc3mpTLPn8POPD8gZGmE0Im9pWZyakHB/u8t+y0aWJVZm8+iawkf3W3QGLkkC795YIAjFkPFRx6E/8jlo26iKxIWlMnES43ri/K+XzTO598naQsHSuL/TF4PHTsCllUpGND8NWZZS914xnO76sVCk3O4xW8lxZ7OD7YbCuXitmpFHppji64gvu4ZbzOl889pnkwdvHQwyYYmEhDBM2DoQPcne0KdWMtBUoax77cS+lz+nBt4f+dzf6dEduBx2HI664n/riyXeutzIBLA0VRHuFkAQHQ+UyJI04TQsydKZz5czhVv5ydd9fb3OldT5S1WVE4MeCWEMmiJN5FKXlsq8fWVmYu88CQmwHSFiJUuwOFPgT767zq2tNn/zC48oVZ1U1Mm/rZVMKgUjU0//LHD6acbX6t5Wh599vA+JEPz68bdXzrg0t/su97e7JAlnvr8ppvg8cG9bOIpdXP5q9fTHtZLDtp3FilN8vXF6f1XTzXroBPSGHnGS8GCnx8UlsRZOnrULjTzffm0OEPH3XnPEfnMk4mxJopDT8AKDuapFs+uQz+lcWijzrddm+Yff7uG4IZIkpw7dCVsHfT552OH+dp8gHXbsDTx6ko+qStRKFsWcxsbegKOuQ8EMma3mWJopsDZf4spqmZmqGP49mRMnSZLFGeN/H3VsPrwrnD1nqtZ0fmeKKT5HjMUTVFUmDMX8DmkMKskylxYLyCuyGAjOG1xdrWax7V//YoNO3yeKY7wgYvtwxM2HbZJErN3X16vst0TNoHJKjFQ+FSuGUZw5+URhQpwkPKumv6rIvJnOMymKzJ3NDu/eWCCKEzRVmRSqkuDv39tmv22nvY+SELpJY3XbC/jwbjPLv+brOSRJ5BVeGE24XsiSxFwtx2xVPOa0U/LpWZLTP5+8BFGccOtRm5ETPJMrXr1sUS2aWT6w0MjzztVZVJksVn9cDvI8UBSZ6xfqn8lzfZ5o9ZzMYbpc0M/U0V5WfJqe28uDhL3WiO7AQ0p7mK8alFM9jZf/zjkfiiz26iT996uYSiw0Cvyv//gajhtgmRqW8aqth/E8bQvXE7Ozr63VyFvP/zlewa/v1YMoSHqZm8Zp7DWHIukZ+oycIHWniNlpjjJbLhJhpSkY7YLs0Bv6OL54zmrJFOqwlsbr63VqRRPHj1hs5Hm426Pdd2l2HbpDn74dMnIDwjhhcUaoUK/OF5lv5OkMPebreXojn8OOzUojR8Ea256Z/Pg7yyzN5AnCkCRJuL5WQ1WE8rwsSxi6Sq0k2LiSBJapUjC1M4zS3aNRpi4KojBdLhyr0iif8aBodq1bI5pdETQmCXz8oPWZv8YUU7woBrafuSgkCeykRIIXLcqPyVVPgqLIBKHYo04yAoe2n1kNyrKEZSqMQ5cwjDno2DS7Dl66B0VRQrPnstca0Rv5dPqi4dAZeNhuyGFLqAH2hkLZqT/yGdg+nfR17+/2iOIEx4vIGzrlgo6qCKXBGxfrqKrMpeUKFxZLqWKpGKw3dDFgYemKUCVUZWQZblyqs75YxtCUTEVbU2UuLJYF+S3ds9bnS5nCoaLIDGyfUk6jnO5hpbzOfO14OPtJBA4QQyq2G1IvW2iaTHfoUSub1EqTygEDO5j4rnefUSUdnvy9VovCoUmSwDLUCTejg7adfceeH3GU7oVTnI/d5jBTRhjaAb2R98THO26MJMuQSMiy+F5nyiaXliuEUUy771IqGBn5aXxvaorMD99ZYqZqYWgKF5dKrC2UCMKY9cUSu80hR10HL4iIooSbD9sTe8LFpTJaSvBYmy+d29T1gygbsgC4u9Vl62CA64dYuoKiKHQHLtsHA/wTzhIn7zVFkR97Lg+dgMELult9mvP+5DqYq+UnrFSrqSrIbnM0waL/LF7/7laPYep64HiisT7FFM+DOE7Ya4446jkMnYCh7ROEMQ93+wThMSFaVWUKOU3E2YrEUcdhZIcYugaJTMFS0VQZXVOol0wsQ8Tdb19usDZfwvYCNO3ZHXROno85Q8sKk14QZfHzGLabNo2+ZGenLwKfJhabYopnxX5zRBDGdAYu97c7mZuOoavIskycxCmRWeLCUom5eo56OcfJkFBXJT552GL3SAx0JohB52rRTMliJoosUczpLJ0iVIzcUAwdAaR5CECz62bxfhjFGSnjaQjCycfuHA1fOTWkKab4PBGEEb2hd0Zl7ZOHbfwwQpYkoiihWjQxNBnTVFmdLwmityzhuCHtvpvFsnvNkSB1p6IFuVSl39AV/ui7q+RNMeR9/WKD+YZwnTA0lTcu1DOyeN7S0iEKIdByYaGcqZm9e2OBubSBWczrfOv1WRRFQlEkLi6Vs4ZkEEZCVc4PcYOImw9a2SBiq+twd6tLEESEYcxRz8FK32ejYlEtGufG5r2Rx9AWSpxJQhr7iEHwxZk8qiyxfTCgN/T45ScHhGFMEMZs7PbYOug/sR4L4ppdXCqj6wp6Wlf4POqRz1KfmeKri6OOkw1JBGGMhMQ3rjXwfKFYt75QYjAK6Aw8eiOP3tBn6Bwr0EqSxKWlMrquEgQJpbyBokrMVPO4vnACvbAg6gF5S8M0FOIkwQsjgigWCrqKTH/kEcUxuiYcLXOmysgJyJlq5lRpuyFRqjzX6rm4Xpjdu6drC7+4uU8YxsiShO0E3N8+mxs7Xkhv6FHM6bxzbYbFRgFJEg32C4sldE1hY68vnHU5zpWmmOKriHGf8GmuzKdruM3uWYfnzxufRR4cnVrPYzXekeuTM1VsL8hykP7Qz0ipE+/hxNk5du4IwoQwjnGDiJEXIMvCiQtIa3Uhs1ULRZHQNYWl2QKyLPHOtRmWZ4vkTJVa2WSulksFXsS+pGsyFxZK557Zfhix17KxXR9ZluiPvEx9fOgIYb2RG+B5Yfb7x5375YLBwkw+e83vXZ+n2XOoFy1eX6/hhxG6KvNH3107EzPK5xBPPg0KOZ2FhngvhqawviDc0MaiHuK625mbyUmIHE/8uz/0GdhT5fQpPl+MnTgup6SqrwqqRQPLUIgTslrQFF9vnN5fZ6o5lmYLDG2fvKlyaamckr/DibM2DGPubXXxQyHIFscx7Z6Drqks1vOoikStaPKjd5YYuSGmoXJxqUx35HPYdYVrryJ66bIEnzzq4HgRvh9yf6eLocsoMhx2HXRVplw06Ns+h10HTZG5vFRO65EiV5+t5ybEz06eryfjjPG/T7pBHXWcJ+bxz4ooFq6BU5fgKaYQAoVbBwNs12evJeqIiiwzcgJ+cGNRiDorEr//zWW++8Y8pq6QMzW+98Y8cBzbypJwFJYlIUK3edCdcJr46H47e83u0GOuljsTa46x1xoRRcI12PHC49nIk49pDrM+gx/GbB8M6J5wxhi/r9W5IjlLQ9cUZms53rzUyPqd5bwuCBwAiXDoGzuV66pMb+BN5F9jYVtZlhiOAuZquawOev1CjflGHi8IkZB458pMNhuZtzQWGwVcP8xmry4slsW+KkuszBUxT8wa9YYeo7T287haiJvWVMYOjafzAV2VJ8jWn2Xt8YuqY77onMnu0SjLWU7X0V5mHJ2YsXuentvLhP7QJ4rF/agqYibuVYNEPDH7ZxoqcfzqiVmqioQsCWcUVZbww1evD7s0UyBvaeRSN7jzXJledrR6QpgJRO3rRfO6qRPH5ww/iLj5sIUfxI9VkjpWkU5/Tg9dXVPEzHRy/LjTBbqTP6/Nl1ibPw58/oe/vs3D3T4D288UdA87NlEcM7B9VuYKrMyVJhSqP7rfxHZDtg4G3NvqUioYLDSK/C9+fIV232Xv0KbVc6mVLXRVIQhjCpbOhaVjNryuyYKNGyd88rAl2I+pAs1YaX5sZabIgs3/2nqNUv7zV9g6rSA8VbSY4mWCeioQPv3z54Gh7XNro5Mpbl6/WGcw8vjrX24RhjG6qvDH31/F9SM2948tDtUT1uJj7B4Ncf2IveYoY2bLsoQfRvzd+9uZU8+7by2eIGyJ59CzxE9CNxT+29+9+lgr8LevznB3q8PGXh8/iKmVTfpDj1bbZa6aY7Zm8YffWc0Slvl6nvn6pM3fN1+bPfO8J9UE52o5XlurPff1HH8eLR2or6dD/KehKpN7uXraquNT4MJi+VyFki/j/nqV8bzXS9WFNoSmyiBJVMsm331jAQDfD9nY72dFDC09i07em3/8vbWJ5/vFx3vc2eoySJuYY8VsXZt8H+WCwTevnb2fT2Jsn5wkQsXn5sMWm/t9LEPhT76/TrPn8I8f7GauI3/6g/WJIsKTcFLlp1YyubxSeaa/+6yhyILRHMcJyu3DbLBckaUnOqi80GtJUhpPiT1t7VTRaYopngYpdcpQTzQqAPq2n9q+gqYJ5539trjXxq5V9ZJJvWyha7Ig7lXydIcejbLJjcszLDTyzNVyfPygRc7QiKIE14+eSbWzXDCy83H7cJANHsBkse6wbfNorw88m1PRFFNM8XTIssSth20OOjZ+GNGoWHzjqkHe0lhfKLHQyHPQEvtBfxjww7cWWZkrctS2xSBYGBNGsLE35D//cpP/3X91nUtLlez5x7Hp46CeWsPjuEdRHl9/eNrnGcce4u8eTwadYoqvG2w34JNHwnlHNP/qWKlytK5PntfX1qq8vl4HJvNVmMxPTq/VtYXyRI1tZU6s/1bPodlzWJtXhSulqfGNNJdo9RzhBJyiM3DRNQVdU2j2XH787cmcY7Z61olOliT2WiMG6RCmLEvMpWm1LEv0bT+rcc43cty41HjK1TqbhxVyQlkNxKDmX/70EbYjXDp6A49ROgiuqhIPd3qYhvZUZf962XomZ8wppnhRnL6P91oj6uUcP3xnkb2WjQQcde3MpRrOnrnVksm3SibVoomdDiG1ei62G1DM6XSGHkksztzVdM03qibNjsvmQR/XE4SRkRNSyuv8T39zl8O2jR/GzFYt3rhYpz/yxT6TwMp8EVWVJ/aX0+e7rgqyyBi6OllHaHYdHuwKVcS8pfHaeo3/w796i3vbXdq946GL03WOKYF6iq8ivJTcGKSDla+tVR9b+z7TA1RezTUhp7WPcY3O80MgwdBUoXx7yhnjab06RZaE67YkVH1lWcJ2A446Lnc3u9TLFqoiiJ6NskWjLARz3r46M/E8p/sCizNPdg1s9Rz+0y82CUPhcvjaapWPHgqSQzGn87vvLLJ9OMga9qcdK04iCGMe7PRYnSsJh+KZAldWKhnZ781LM9y4PMM3r83iBREf3msSRQmqIvP6hVoWM36WWJkrporrxxB91OMhKOMcZ1ZNkTlJ7Tjd75hiis8SSZKIWQPErMFXCZIksTRb5F4qvHV6PU7x9cPpfrGuKfz+t1aolcxs6BNJxAfjs9ZxA7YOh6mAaZM3LtT5hw92hcK7G3B5tcKfLK1zeaVCrWSyNFNgv3U8NGqZ6kS/0jI1dEUmDGP2WjZDN+DRTp+FmRwFS2doB/zk/R0sQ2OhkePqynFcc2GxzEz1+fNrTZHxYvH5hBvopySTRjE3H7aF0KwkCGCnBRenmOLrgk7f5T/9fBM/jFBVOXOZG+P19Rrff3Nh4nc3Lk/G0GMU8wZXTswChKcEakzjOG4cExce10d/2izG3/56i52U4HVxqcxR1xE1RwnevbGYORKJ11V56/L5cX/f9kE6yGqSpqGyUM9DuueNhSzG0E/1U2eqVvYZ4jhhv2ULpXgJHD/M6pQgiBl3NjskiYihr1+sZ7XXp33+03lfu+9yb7sLiRBvvX6h9pUTiJmYMymbz0XWfdHe1ZeNr8LMlqErlPM65bT/kLdePTddTdMIozhz4AijmFzu1XOAkGQ5q6VIsoSlv3pEFF1TeONi/ct+G58KZ9b1C86iv3q7wSuGdt/FD8ShH8fJuSy61bkixZzObCXHhcUS5aJBrWSyMltkfUGoxFsps14M5ia4fsjSbH7CVimMhA35MGUpOl6IqsgUc1q2aOeqFjlTJW9qqbKfUAcfMxsvLpUZuQFHHRtDU/D8gDCOubPZpj/08fyIOBaNUT+MGDoB6wslXD/gqGtTyes4Xihs1Ed+pqJFwkQyuLZQEsrCqcLwYedYof887BwNebDTO2NHdh66A49O3z1X6XOuluPNS3UMXaFSNDLm8Gm4XiiYUv6UmT/FF4e8pbE8V0BLVTBPs9FPIo4T2n33ievmWXDYcbJGSmfg8sHdI96/fUiYrrWB7fPe7UPqZYta2URVZaolg/l6nkZFuD4IpXChoClBxtSvV0wW6gVIkkx90w8i3rt9iK4KZfD5Wo5GxeK7bywwU7HImyqlnM6jvf5j16AXRLR6LhIiGD9ojXi0188UNw/bDvutUcp2fPoadryQg/YoG1YNo5i7W51sL30eVIoG8/UcmipTzOmszBXP3ZNypsbKXPH4u1588nfd+Qy+68VGnkrRQFVlGhWLmcp0SOVJWJ0vkrfEObU0W3jswM8Y8xUTXZMIkxhVEYPNj/Z67B71+e2DJtfWq1iGQs7S+J23Fp/6+pqqICEGuZZnCxiaQq1s8tpajXbfzRQXzkOSJHQGLp2BuO9URRbqsprMYWdEuSA+i+NFPNzrc3ujc6zsM/L56H7zqYoHfhDR6jkT5K52330udRw/bVyO1b6fBb2h98TPL5R0SwRBRBBGn3lTpzf0kGWy/bBSMJirnx1gm2KKJ0GShC3u8lyRtdkC5YJOMaeTM9V00FlYBrf7Lr2BRzdVizI1mZyp4oURizMFLi6WCKOIOI6xvRBFllhs5Gn3XWw3pD/y2G8N+dUn+8cx+Qk8KWZeqB+fGfWyOXFm7LePyR1DO2DkvhrqJlNM8TIjZ6i0+g4kCZWCQRDGDG1B4pyv55ivCSXZclHH0GU+2Whzd6OZOvfExAkgCZXt+zs9NvY75HPasaOPKp9xxzwJ01BZO1F7uJDGpjMVK4v3K0XjicNNJ6HIEpeXKxiagqErXxrJc4opXkY0uw6OGzKwfRw3nHC7eudyg1rJJIpjMdS3XMlyweXZIromY3shtZJJuWDQ7rv0Rz6r8yUURRLK07UcOVOdqA+ehKEKdaw4SlBVmVsPW7x/+xDL1Jit5VBVmVJBF/FHqma9czik2XOyHPt0vjFGFCcULA1VEW4Z8/WccNlUZebqOS4vCfU5y1BZmZ0cTvL9kAc7Pfaak7lBMaezNHtcJ1mdP/67jd0BtnPs0lHMi3hK12RWZooZeSyOEw7b9hNjn1cRX7XP81XGXC2X5ZBD2+PuVgfHF+SLUl78b3W+xKWlMjlDpZBTsb0wW3fNrvj/IIy5uFROXTkUvEDsB52By87hkN7IZWj77LeGGLrC6lyJgqXSH/oEYYQsy7T7DnEcs7E3oJcSrg47Dh8/aJEkIg+QZAk/iLi4WJ4gg5+sLZiGwh99f5XZmoWuC0XNK6uT+fd+S6giHnUd7u906aaqmqtzRaIo5rA7olI0WFsoM1/PkSQJSZIw+wJDX1NM8bKj3XMzR544Ts51NhhjcaaQ5eMz1Ve3hitJJ3ICTSj5VosmxZxOGMXM13OU8hpJkrAyV5zodYKo2bd6x0rcK3NFKnmDtbkil5Yr5C2NetmiXDDImSrNroOmHu9TlqEyV8/R6jkTDuTPiiQRNfkP7jSzXkkYxvzTR3vZANjA9tluDilaetq0T2j1bVq9ye93fGa3ew6WoWKZKkcdh+2DATNli0vLFUxDQVVk6mWLoRNwdDJm9IIsZnxar2BcOx33fHpD8drP46T6vTfmKRd0dE3m4nIZJM7EGyf7wvM166nf3xRTfBoctG1GToCqyKw+QaDiVcVK6qK8dTh4yiOn+DpgfbGU9SZPno+XlspYhsh3x3H6+Kx1vJAkSijmNJodh9/eO2K3OURTZfwg4vZGG4hRFZkoirm8UkGWJaI45rX1KldXq8xULex0tmi+luP6xRpRIsinlYLOyA04bDvUSwZDNyAIYzRVwtQ1+rafxS2NyjFR4qhjc2+7c25v4jQuLZcxDUV8vrR24PrhU3v9thukudLkedMb+ce10AQOWq+e0vkUUzwPxrHr2Okumx10Au5td7G9AMcLcV1R6wujmKOuTTWtMZ7E6TmkIBQzAbYb8PblBqW8xtDxmala/IvfvYgfRjS7DtfWqnzrtTkMXcT/l5crJEkyMY94EsuzRUrjumEtN0G0Gtp+RuAAeO/WQSYaQwK3Ntqnn+6xKOV0vvXaLIauUMzr/OF3VqmXTRwvQNdkvnF1ZmKG5p2rM+fuwyDi/8HIz+q6By07nV1y0pkjIbq12xzSH4na6eNmG0p54Yo3npk8HeOMayqQupyOnn926WXHSbX6ds99qmvlSVxYLJMzVTRVZnX+bD75smKmYlEq6DhegGWoLDbyT/+jlwwz1Rw3Ljeyudvvv3n+3O3LjPbIQUpiEsQyS5KYfv/VcxSZr1skSUwQRRQsldwrSKj5KqBePp6dLRd0lp6xl34aUyeOzxmnnR/0c9g2euqScR5mq7kJdTvBQpQwdZV232O+XkCRJcIo5uMHrYyBv75YolwwMlV4RZH41rVZjk5YLyuqws1HbZw0cVqZK7JzNGDncEh34HHQsdOmsMdiPU+cSNRLopEbxTGDUUB3KBpPm/tDXD/kwXaPb74+h6UfD36McVJJx9AUrl+os9cc8je/2hJ2bYrEH39v7Yz63Xu3D7n5oAWIAek//f76Y1lLJ5UJywWda+co6b9zdZZ3rj5etfykM4EsC0u0V+XAn+LVx2KjwGLjyRt6kiTc2mgzTC2qFxr5F1ZnGa/Lw47Nve0uOUMV+4gk1D76tk+5qHNns8Pr62eVti8slrmAGNb4y588yBKwetniz35wARA2h4/2Bji+sEGME/jofos3LtUnBsEcP+L/+pcfs3Ew4B8/3OXycoVvXJvl9fUaeet4DcqSUC3sDTyOOg5RHLPXGqEqMlbXYW2hyMPdHpqqIsvSmb8/iYHtc+tRmzhO2DoYMF/PsZcmCzcftScchJ4Vq/OlLMk6uSdVisYEE3+hkWfhKUF5kiTc2exkdvJz9dwTVZSfBEWRJ15/iifD1NXnYvwGMcSJhKmphGHEw60u/+YnD3i012e2Kmw2/5d/eDVTwX0a/CDKVBoKlsY/f3edgR1klsI5U+X6hfq56vf3d3qZquXYHWOsLuv5EXe3utlj86aWqbjFScJRx+Go4hDHbVbni2dcbEAo3t580CaMYraPBsxWcuQtbcJZ4GkIw5j/+LNHWTHp+sX6Ux1FTqox5C3t3D0JhBrp2O2k1XOpFD8bdZ3x6/dHPqW8zhsX6kiSRGGaDE3xAigXDK5fqJMkSUb4JhHnsiQJVcoP7x7i+jFJklDOG/imyqVlnSurNb792iz//b+9SavncdC2KRcDbm20WZzJkwCb+30OOja7zRHztRydnsefvnuBnCnW+/3tLq10nzh9PsGTzwxdVTKFSSShkjXFFFO8OBwv5OFeD0WRCaME2w0wdTUlJ9vUyxaFnMG3Xpvj0X6fBzs9HC/kzmZbkJhF6I4kSbSHLook8f/+6/u8fbnBf/17l3mw2+PhTh9Jgmtrj3fAnKvlmKtNEhMlScri/edFtWRSnSrcTTHFGYRRwsb+gCRJkCTpTE4shh4sZBlR50vjhJyp4ocxOUOlN/T48O5RNgyaM1WiKMEyVNo9h3bfIUyts9cWStnaDsOYh6mjpe0G/O2vNnHSM/3Xnxzwv/3n1zMxiX/8YDeLFXRV5u5GByVVtzb041jgpBufosiUC0ZGgNc1OavLBWHE0A6yfGgck4Agd//VzzayZuybl+oTdbulmcK5he+cNVnWXqjn+eHbS4Co7U04iXXs7PM8rl74KuHBTi8b5jwvlpvi5YKckht/8psdfnnzgM7A4+5mlz/8ziors8VMHfLRXp+91oiPHrRJ7jYJY7GOvCBiebZAtWBy/WKdH7y1yA+Af/23d/ng7hGOFyFJCf2hSyJJJInYayQJOikpXJFlNDUiNBVkWRCtxmqTiiKTT9ekaaiCkLFSOfccP+1c88ffW3/s59Y1hfduH2Z5fBLDX/zoApv7fe6nDh0f3D1ieTZPo2JlQjO3NkQN8nEuBVNM8SritOPMk1wn1K9QDbdSNKgUhSLunc0O3YHHQiOfCjdJaKqCLEtncpRxzT5JmOjRiT6qOMP3miO2Do4Hnse92PE+ddJF1NAV3rxYfy7l2rtbXboDj2bXpjNwqab1xcIpdc5SzsApR+i6wnu3Dml2XfqjgB+9vcTaQmnizFZkCT+MubclajKdgctf/ewR/+JHF3nzYoNbG22aXUHeC8IoixnlVKn/ab2Ck7XTQk4jb6octMVrl/I619aqz+SQWC9b/MWPLnFvq0u7L5xOTivjjvvCAO/faTJfz6Onzs6nv783LtY/FxeRKb4+eLgr1vJqKoz2VcO4v7t98OxiV1N8dWEZ5/cmCzmdG5fPullWigYXlsocdV0e7PYIgpiLSyU29wd4gRCOkCSJn3ywx9CNkBIIopg4Tpiv59FUBccL6A48coaK44f86tYBOUNjtppj+3BEp+cy8gJBipQkZiqCcGhoKqoicXW1yvULk+/53laHn320n36mI/7s3YsTdYDzPt9JFf2RI1xMx/M6r63XKJzq9Z9UqddUmTcu1rN44PRMlqZ99faOKaY4iTubHXpDESPWSgYjN8xmBweOcN2M01pkqaBn5KoP7x6yNFPI1ufpOaRGxaQ39EUNUoKCpTGwAwqWTmfg8fOPDrJZmF/fOuTGxTpvXxFrOYoTbj5sTcwjnpyN0VSZ1x5Tn9NTZ9CxUOxpsU1Lf77Y8vX1euZ27AcRW4dDLEPDD2McLzqTfz1uRkRVZDYPB/jptY2TGP9+RJTWYLoDl/fuHEEilNgtU2Ns9HHebMN5rnjZNTjljnferOmrDkE2FBdIlqXnytcsQ+XNZ3B5ftng+hEjJ8AyNFw/ZOSGj+3Zvcx4+8pMttZfRZQMA/8EZ8gPoVQyHv8HLykO2g5xIiFLEv1RgPTqGXF8JfBpeuknMa2afM6olUwWGnm6Aw/LVF+YbTPGUfeYJe64Yao8IbF9OKQ7cIVtF3DUcfjBm/P867+7TxDG/Mn311hbKNPqu+wdjVhbLGLpCsORz8AJUCS4uy1IGNuHA1p9h8AP6Q4SykUDQ1fJmRqOF9IoW8LlI1Waf7DTx/HGw9kJvYGHVhENpvWFEgepq8d5rgIPd/uZ+ncUJTzc7WWNoDhOaPVcPrp3hCRJSJJEd+DR6rtnhkuOr8+xws1v7hyx1xxyZaWCqqqU8vozFQpbvWNVmvF7mJI4pvi8MWahR3FCPV1jIyegmNPOVTEaJ04g1vvTSBxbBwM+uHvEQi3Ht64fM2EXZwqpjXeXOBJM02JOI0wSPC9moZ5nebbAyBHs/MeRIeI4ppjXaPddZFkib2nZUMpCo8DbVxr84uMDakWTq8tlUVjZ6vLaeg1FlojjmH/67TZbB33ktOG8fTjg4lKZjx8cYRoaQ9snimGmalLJG3R6Lqoq0+95lPMG/ZFHgtizhk6EriXkTY3d5pAgjNE1mcvLkwlYs+uQJKTvM09v6KEpirB6TcR/f14SxxhJkkzsSd2BRxBGEyqGT4PnR1lTZvx+X5TEMcXnC8+PUWUYuREJY0KEzWHHpt21qVVyfHi/9VQSRxBGdPoeQRCTtzTCMKZcNIhiMXg0hu2G2F5I3lSP946SKQY4e8eEzXbfJYriLOn9xtUZbC+kP/RZnMlzcanMfD1PGIlB0eXZQnbPP9jtIUkStZIxcd92Bx62GzByQ6EWHsXkTJWVueIzJ9etvku75+J4IbIs8XCnyzevzeIHEZ2Bh67JWXN0jKOuw8D2ieKEKI5x/XBif9w66PNgu8fADphN44RWz+XCYnIu2eN5MS5ClfI6XhAhyxL1svXMquRTTHESvh/xX97bZr89YmmmQBAl1EoGthsSJxBHMQEKSBCEMZ2Bw6VSFdePOGyN+NlHuwyGPiMvQJYhjhKSRJC4Li9XKBcM7m93MVQFRZawvZD91oiLS+Usvh2jO/AIo/iZLVsvLJV5uNsjCEWcYH4NGvFuqg5+XiwxxRSfFu2+iyLLXFutcvNhi4EdcHW1xsgJRGyqyiiKjKkrfHzvkM7AI44hGcswSRIJqfNdApoh4oRbGx0+uHuUnZVJAq2ec25B2PFC7m93cbyQy8vnD21OMcUUnw0UWTRLHTfEMtUJq/dWz81qZK4XceQ41EtpbL7To5TX8YMYSU4Y2D57TZucodIoWxTG/w0hkjJubh51bHRVxg9jWj0XU1eJ4xBNldk6GNBI1b1bfZdH+z3KBZOcqbK+UEzdeGMqJZPe0GPgCOeAIIqZSwVnTuYbiizcxrYOBsiyNJG7aqqoC36y0UZXFC6dGAI86tjHanqIQfaTJI5xjmBoQt3r4a4gs60vlHnzUp2NvQGlvM4712bYb9qEccyVlQpDJx1EMdWJ3Lw39PGD6IzwzpeF928fYrsBNy7NUCo8vWmXJAnN3ulaQ/yZD7T1hh6uH1EpGkjw2DztVcTQ9tnYH1CwNNae4IL7WeOTh0KkyNAVRk5Ap+/xjRNiBkcdG88P8f2Ibt9FkiWOOg66JpMkCTlDY2D7mTrlylyRX9zcz9Qj9zs2OVND1xT2W7Zw6M7ryLJE3/ZZrOfQFAXXC3n37QXubHTpDj2+cWWGmarFzYdtKgWD1y/WnzsWaPddwjCmVjYJw5jeSLzPcSyTt8R774987u/0MjVJz4/YPhyRM9WsHp8k0Oy5nyuJQ9RrHOZqFo3K1F1zis8f9bKF7YZ0Bx55S/tca0mdgYsfxGfqeV8G3FQx1koJYo/o4wVRFpvAuAfnTPQdxjX78X/vDLwzPZK5Wg7XF32SUl7PXHzGccOdrQ62E2YEmr7tP/UMG/doPD+i3RN9jtX5Io4fUbCEa9nqXJ7/+SePCMOI6xeFwMtsxeKD5hBFkagUDHw/4v07hzQqFjuHPX762z2iGH709gKmodMf+RiaTM5Q2T4cMrADNFVmaAfEsYjzOgMXXZMYjEIqRQNFPtsrOOpM9gqOTji8DO2ATt/N7oH+yMfzozM1HNv1ebg7IG+prC8cOypFUUy7f6LG3HOJFpMsdn2QDtWDIG0cdhyW0x7V6e+v3Xc/dW98iq83NvbF/ba28GJidi87llOXwqkTxxTPAscL6Y988qaaxcuqIh+LO5gqsiwcdbcPfKIoJklgMPL58M4hbiDcsFRZpjcUZ+Pu0SgTiRjaASPHJzerIUkShirhhSGaIqMqcurYKWaLlmbyXFyuUM5rfHiviaUr1Momuibz73+2geuFzNfzOF7E7tGA1fnSRG7/JJx0lRoLMdZKZjY3EUYxdzY76SyFThDGdIdeJo5byOmszhc56jgYujLtrU/xlYYfRBmBA2DzYDAhQCghyL/dgUcxr2O7QfpbcLyI7UMxnxNEMUuNIvvtEZ88bGNoKheXyxiqzCiNqx/t9vD8KJ29Ubi72cnqa/2Rz+2NDodpDe4bV2czAgeIWcfTAqf91DWnnNcn4lRdV/nBjUV++uEumiLxe99b5aDj8GC7R97S+N6bc891jYaOzwd3jjANhZXZEt2+S7vvkrc0KgXjiTWQkz1VVZGoFgw6Qw9VlgjCOCOaJAkcdlwsXSUMYyxdxPpjAd+RE5yZbXgS1uaLxHGCl4r+fJFCF7YbMLCDibPm88CVlSob+33iWLgzKp/BPMfLjk7fnbhnHtezm+LzxdZh58zv9ltD5uuvVt4aBHFWWwF4tNPj4kLly3tDL4i95lAYDDTyX+v+9Fd/4uYlwJPYk88LU1cztTtJEip6tze6uF7IVhoAFCwNQ1f4+9/sZgW9v39/B02RuLXRgQR+e69FOW+wdTjAD2KaXYdyweA3dw9pdUWRMogiqkWJbt8njhNqJZO5uiiMjg+VWtnEdgLafRfbDfHDEE0TB6uhK1SLZjZIeR6Kp1Vr8scJ252tDv2hz8gN8YOIetlCksiUwc6DoSl4fsT7t494uNslZ6r8za+2+YPvrpA39Wdy1TD0ycK2+Zws3immeBE82Ollwf/D3T4SCSAhSfD6hfqEuoSuCYWqcfHi9D17GrvNIf+Xf/0hXnp4H/Zs/uwHFwExQHJxqcy9rS5bB8KFx9AUfvjOInlTz5w1JOnJCmGKLNMfBtljho4/oep04/IMlaLJXnPEXnPEwPaR5fTzrdf46W/3RPN44JEgWPxJAjuHA/bbDq4XsN+2yZsajYrJ1dUq64tldo+G9EceIyfMhk1kSTRjARpViztbnaw5fNh2ePetxex9nVzflqGyvliasFT9NOtfkqRsTwJRRBu7Iz0rVFWe/K5fkiGTKc4iDEMcP86KHH4oGl29gS+UF4YBawsdeAL/Noxibj5o4wURzb4oLC7NFEASin2mruIHx2tSV2Ue7vYzNbejjsP1CzU0Vc4KruN7aAxdV/n9b61MvG7OVPnxt1dxvZAP7zchEQNkXhCiyjJ7TZk3LzUmBrzHSnAAb1+deW6lA0tXaPacE+rBouh682ErU1xYnpt0Jur03UxNrj9S+ea14wLN/e0u//pv7xLHCd2hz3evz7E0W0TX5M+EwAFirw0d8d7majnevjLzlVT+muKLwf/wn2+zsT+g03f57f0mb12eYWAHFPMafi/CjyGMQ8IwHdOWYeNgQJQk3N/uIcsSYZggSQmmrmSxQDGnY+gKjYrF0myBw46TNezHcbcsS+jasbqJmg5dPisMTXmsOs5XEWEY8x9OqIMftR1+cCKWmGKKTwvzxPqdqQp3q6Ht0x64JLHIE2w3wPUjbm/1RPM1hiiOUTWZJI0TZQmiBJJEwnaF2MODnS7LcyUqqSX6eXmD7Qb8za+2+PhhCymB395v8i9/99ILE5mnmGKKJ8My1IwAMf55DPPEGlUUCfNE/hcnSebK53kRH9w9JEjXf71sZmdznCQszx3H0H3bx06d+EaOT97SMoJHbzhpEb7bHNEdiPPO0FW+/bqIt/eaQz64dwRIIMHFE0Pvp/ONcsGgXDg7jBHHCfttG1MTn/egbWdiLwVLQ5LIhv1OqnMGYcTHD1pZ3tAZehy1Rc5+a6PDn7+7PkH4ODmcWS2ZWT125AZZPVVRnk/Z7fPEX/7DAz5O3Yc/uNfkf/8Xb2I9pcYjBmkUvOBkreGzbXLut0Zs7oshsq0D8d2Mv5/l2cIrTWS33ZC/+qdHWa2mO/S+MOW4Ut5g+3CI60coikyxMCncInL+mDCO6aeEh73mCF1XaPZc6mVrQg3ysG3j+xG2E9IfxUBCIReTNzUqRYO8pXHQGmF7IbYT0Op7GJoQPXAGIZeWKxiaQn/o8W//8SFxIuKJ9cXnG3Da2OtzkK7LrYMBcZJk98tMxSJM+wiKImEaKsWcPjFoXMxpZwbNzaesg0+DnaMhf/vrLUhEbeXH315h4SmuyFNM8Vngs+wTPg67R8MsXjivnvdFwvVCPn7YynqJl5bLmcLtSZcMOFuDP/vz2T1BloXS4UkEYcRHD4Ta7wd3j1AliUJOZ6ZqPVNdfexuHCcJe60Ri408sizzzpUZ3r46Q3/o89//5Uf0Rj79ocfADjhsO6zOF1mbLzEYCSGsTt9F1xU+edTm//Ef7tBL6wkbewP+T//du8zXctieGGgzNAVLV5BkEVNtHQyEwJcb4PkRtZKJ44WEUXKmV3D6upysXQqhLR0/jRdkWUI9Vcd0/ZC/+umjzJntJLlQlqWJGrOmTsYbeVM7JuFKkw4lz/L9TTHF82C8X5wnFvlVwEqav20fDjPXgSmmOA+2G3DzoXCnQIIrqRCLZagsNPI4XkgcJ+RMhblajpHjs9caEUYJdzc7FPM6mipz0LK5fqEqCJQSFPP6sROnJuMHYt+2DJWl2SJDN8TzhLBZu+fgeAHFnMFRV9TJ/+bX2xx1HKI44cbFOr+516TZcRi5AYORx5XVGqah8dGDFmF6rqzOF5mv5x/7WU/WMEduQHfoMRj5mdPwxr7ojXYHHnYhZK6WO3PWz9fzT3yNKab4qkBVJl0rxmt7PB9TzOsTPb3Djk13cFwTvPWwQz+dCfrIaPKz3+5huyI+3G0OubxcyeJPSARhF5FPj/v7pD//+396SHsoxGg/uHfEP/vmSlYfOB0jtnoO97d7gKgXvHGhnhE5kkQ4lo+d4Pp2wI1LDW68gPOC70f83//qVlYHna9ZHPU8ovR95yz1iU6Id7eOXU4sQ5DQxrXPk/VMgFrRyOYnAKonaqTj+PpZoanKl+LQePqsubpSfSrx7kWRt7QzTk5fdZzu0U3nv74crM2frQO+agQOgL0Ts41+CJ4XPuHRLyce7PT46Ye7AHx4T+JPv7/+tSVyTKfTv0C4fkg7VY6fqVjPZFt7GhcWS2zsDwjDGENXeLTfz5jolqHS7jlUCjrrCyX+P397l+7QSwOckJ9+uE8YC5VdL4j44G4TGWh1bTp9l6Hj0x95yBJIUoIigyTLWLrCzuGA+UYeRZa4canO9uEIXZP59vV5PnnQ5OFOD0UWBZRKwaRWMrHdEAnviQf6GxfrOH5Eq+syX89lQUgUxfTTQOj6hRp3t4Rd7xsX6k9kel5drbJ1MKDdtynmdVwvwgsijjoObi7ip7/d4/JyeUJR5jTmajmCMBYKPgVR4J1iis8bnROJ0mHbploy0FWFJBG2eydJHGNL9d0joe60+hT1iI/uNUXRP1WO/+Rhhz/7gWiktPsuuqZQzGuszhfpDFzKBYNLyxXypsbm/oAwillo5J+oUnnQHhHFCa4fEkYxYZzwYKfLxaVK9pilmQLdgctR16Y3EmpS2/sa+60hv7nTxNQUFhp5Dlo2lYLOQiNPGMfYTkBn4BJHCY4X4vkxhx2HS8sVLENBluDjB03iOKZaNKgUTHwzxnFDYiFTnOG0HfF8PUcYifVeLugszhSwDJVW18U0lEw96kUx3pPiJGF5tvjcxVdVkbm2VmXnaIgsCeWvKV5OqKqKqko4boSmSpQLOp2eOFMTACmh3RVF0M5AEB/LBWNibY+cIBvEmavl6I98ijkdXRckTFOXqZVMwigWFvWaMqGINnJEc+/amrjvQDSIHxdv+EFEs+ugKjIzVQvTULm8XOGwbdMZuJlijR/EjByhanfUcThoizXq+pFwAzsYEEUxV1drT7RDHqPTd2n2HGYrFjc3OpiaQr2kc3ezy9AOsr2m3XMnSByFnE4hJ4il1ZJJFMeAeOytzQ5xWjEq5DRafZc3LjVYnn18stW3fe5vdTENhWurVeSnkKwur1TY3O8TRQkLjfyUwDHFC8PxI3aORqiKjKYqqcKiQxiE9B1xjuqKBJJMEIYoshiQDMKI7tAjChNMUyFvaoQxGIpMraRTLZvcuFRHlmUaFZPV+TK6rlItGFxeqTBzYmD06mqV7cMhSXo+nbdP9IYew3Ttn7Yq/jwQhjGfbLSfaz/5ItAduhPq4FtHQ37wJb6fKb56qJctWn2X9z45IAwj1uZL9IdCrbZRzqVOXBJHHVvE2aFQ2pdlQcgmHbgkJV2buoKuy8zXc7h+hG2LeGJpJo+lq+wcDSnn9Syv7g19DtsjSMTZOHIDPnnY4ofvLH+Zl2WKKb6ymKla+GHEYCTIm6WCzgd3j5AluLJaI4xiIVJQ1ClYOrtNkQuahsInD9uMnIAwiUlkCVVwKrCdAEWWcLyQ+XqOgqFy61GbctFgba6YqTHlLZ3r6zWOui7FvMYffHuJf/fTTWwv5M2LdXLGcW5SyuvsHA4Jo5iCpaPIEr2hTyEnhsPDVM3z9fXqM9U3XT/koDXkw3stdE3h26/NUcxpuH5EtWjw7luL3N7oYOgK33vjmKw9tINseBDg/lYHP4wIQuFidtR7NmXnqytVNk/k5s9KerDdkDubbRRF5vW12pnhx0+LR7u97N+Dkc/u4WDCpeRxuLr26WoNT0Onf1yj6o8CkiTJ4sF2332lSRwH7VFG4ADYPhh8YSSOP//RBW5vtEmShNfWauRN4fJoGWqqQq+SJAkLtRyeJ8QdxO/EWT8mYo0cMcTUHwnn74EToEoScSIThTH1ss6VlSrfem2Wv/v1NiVLYzD0afUcXl+v0rc9XDfC0BUMTeHWZgfHD4kjEVv87a+36Qw8aiWLYk5jpmrR7NrcetRFUyVWF4QASpzEzFZzbB0Msjy+2XOwDDUbzri2VqPVc4nimDcvNTB1lW+/NkucJAxGAeuLxYxAMVYPLeS0My7c49ykmNM/tULh1sEgqxUmCWwdDqckjim+MmidqBOO63nnkSvP/duek53Ln4Uz/W5zyGHbxjRU8qZGKyWjAczWchPx0EzVyl6/VjLP1OyfRjAf/+1Y+M7xAko5HdcLsQyVcv7ZPlMnvX6yJFEvm+QsFUNTs/riva0Onb6H7QmS/W5zSLmoIysS1YKO44ccdkZiECeBrf0ezZ5DEov8zXEDfD/mj763xi9vHqCpEm9eatDsudRKJusLJTb3+xRyGnlLY685wtQV8paGmiqgP6lXcLp2aegKm/siXliaKaAqMnEcc2ujg+dH5Ew1I3CAUG3+xrVZ4jjm9mYH1w8xdJV86sB8Eu++tcgvb+7heBFXV6tUThBpn/f7m2KKp2Ezc+L4apI4Fup5VEXC80W/5knimFN8vdEdeseD1Gkca3sheVNlaaZAgjirojjhd24ssn04IGeohFEsRBsTIQLhBzFBKHrqSynJIWeohEmMougkxDza7RHGMbNVC8tU+e3dJsigOjKKrGC7Abc2Osx/vEcYJlne/pu7R2wdDpgpi7OgNxKD1zlTKNMnSUJ/5PPb+y6OF1LKn39OzFZz+IGIFeI4Jkmdu3KmxmF7hOOG1CsWCRCFCesLpWeOeaaY4qsGWZa4tlZj+3CALEmszBWxXUE2NnSF1fki93d6HDRHzFQt3r68wt/8epvu0OP6eo2bj9rZc+0ejBg4Ad2eiyzLGDo0ygsMbB9dVzB1Mb80tAOqJYNvXpvjN3cPsd2Qa2s1/vXf3s32g8O2Q72gs9N2MHWF9VOOWq2ey82HTVp9j/WFIsuzxYzE4afzemN0TuQ5Y/RHPgPbp2BpT1z/B53RhJDNg70+1aJBb+BjGVomeHceoiiecDlxvIiLSyWaXTH3uTZfErNPA5+8pfLWlRneu3VAb+izOl88E59LkpTVemeruc+VuNkdeIzcYKIXdPJzHabiGrNVa0LspjvwGDkBthtg6iqdgfu5kTi+jqiXLbwgyu6ZKdnwy0GIiqmBm24zOQNcN8R8SWYTXhS/vn3In/3OpS/7bTwXNvb6QrginYPfPhy8kiSOoRPQGwpX+Bd1Mn+1775XCEEYc/NhO2OXO174QrZ9mqqIAcuOzaNUffujB02qJZNu3+PScpkwSthvpcHVwBNDHhJcXC1x1HKoFg3aA5eipfKbuy00VeLR/hBVlvADoeqZszRsN8TSFLFY4oSffrhHb+AxUxXq02Ors72WTYxQ6bOdkKXZglD7SXPIS8vlxxbpZFnmu9fnz/xeUWShYB9EWIbGd67PP1NDzTIES/bCUoWNvT6KEiOnRLMP7h5RK5nsN0eEYczllfNZq1Ia2E4xxRcJy1AZOSJCyFnqRKB8XoOhlNcp5Z9NBbtcNERhJ2tQJvhBNKGE5QcRFxbLXKCMqsiUcjqKInN5pfLU5985GrK532f7sM/A9umPAixDQZUlXD/K2NPNnoPjRTzY6aW25CFIMvWSThhBGMfUigaFvM6llSrDkZ8RseKUsR4nCUMnYEVVCMOEi0sVfnP7iCAC4pjDts36QplG2YIy1EsGvxwdZntvqTCZoJy33meruWx4/dNivCd9GhRz+tdK8fxVxdD2hRKNJBFFULR0LEPloO0IQ9JEKMo2uw4PdsSgzu7RkOsX6kIRAzANNVNTU2SZS0sVZus5/t0/Pszu4Tcu1jNFNJjcO1RFRtMUlLRY8yREccInD9sZaWToBFxcKlMrCSKmpsqZ8o4kCVWAR3t9jsbqOXbA+kKJD+81ieKYVs9lY2/AX/zowhPJEOP4ZeT4/PLWAZoiYzsBv/j4gELOYPNgwNp8CU2Vz+x95byOhGiaKoo0QSybq1p8lP5bVWSuX6w9ce25fsh/OKG+2ul7Ey4958HQFK48JnaYYorngaUr5HMaIzvAMlWGrs/WwYijvkcQRmJIS5ZplA1iCaQkIYyFI8fQDojihKHrYxtiGEGWYWBHdHouG/sDZqs5Wj2XYk6jmKtwYbF8hpScM7UnrpFO3+Vuqtq9k7pmfd5Ejp/8ZoedI0G2fLTX589/5+JnPij5IijkdFRVzvbh8tTWdorPGAPbZ2Ovz8gJafZcokQo6dXKJuWCgaErdAbCtSfwYxJEqq0rQnDB9SLiVCE9JmamXiLwY1p9F8cTSt/zMwX6I5/9VJVlR4Lr6zUKOZ2cqZK3dG5vdOnbPoam8PGDNt98bZacOb3fp5jis4YkSSzPHueg/+Yn97Nm4G5zxJ98f33i8eO8/4M7RwRhjK4pRHGMocpZ3K2rMlGcoGsK+22b395rgiSx1xJNynE+KUnw5uVGNlz9YKfHjctCwS6I4gnV1zubncy54uFOL23sSXg9j/2WzbU1UYjePBjyxsWnN/KCKOHf/dMjnFTJ77A94s9l0VDYa45482L9jJo2iBzppKrdyA0zBX/hJPpssYL5Arl5GMb8p59vZA6lBy2bP/zu6nM9x9NQKRqMXFG4VBWJRuXZmqKfRa3hic9vqtnnNjR5QkXwpHvMq4hKwZi4p77IQZ9PHrYpFwxMQ6Uz8AijCE2VJ5xPEhJMQyOf06gWTXbdEbou1rssyXSHHnc3OySJ6C/k08bQbnOAIskohoKmqlxbrVLKG8zP5Liz2SVOEsIoZr9lc6OSI4qSTO0vb6ls7AVIkpQONiT8/chHU2W+8/ocG/t9PnnUZq85Ik4SRk7AymyR3tBjvp4X5K6CkcYVGuqJIYTZWm6ihgHCIfSHby+duT6LMwUWzyn/dwcedzY74gcJrq1WP9X3Vj5VG6xNhxGm+AohZ6g46bkyruc9C07uQ+Nz2fwU+/3A9tk6HGa1xYVGnsWZyeGUk/HQbnOYiS/tNUfcuNx45h7dSfeRMBL5kpE6mS80CszVcs88EG0ZKnZ6/Qo5nesXGhnxM4piukMX1w8Z2D6uH6JIMlsHQ5pdD9v1QJJx3ZAoFqTcVt8hjBOIhWuiJUGjorM4W+C19RpbBwP2miNsd8hea8QbF0Q8FIQx3aHHTMXKBLzGQhdP6hWcV7s8HS/89MO9zNVASj/XuBc1Jsn9/KN97qf1a0NX+IsfXTyjnJwzVX7vm5Nuz2NMe6xTfJYIQiGGA19dJw5FkVloFNg6GLB1OJiSOKZ4LE7mYrYb0B64uKni8uXlModtGwmJds/jo4dNlmYK7DVHjJwATVWEUn8MuqawOlciZ2p8eL9JKW+kPUEHRZH44M4RBx0HWYLFRgHPD7m6XqXTc+n0PFwvIIrBNBS2D0eYmoIsSXQHLiDh+TG7zVFGzg4iMauEBEcdJ3PpaHU91haKXFiMzx1iHccKdzY73NveB8TQ98p8EUWRIIK5ao5SXp+umym+9ihY2kSMaBlqNqPXG3r0hh6moTKwAx7uD6iXLepliyASYtFjwoRlSBy2ndT9O+ag5VApGtkQv6bKlPPHOfRM1eK//cNr2c//09/dyWYPFFmi54QYmiB+7LXsiRnJX97c5+cfHwDwYLvL5eVKJuigKfJEX+50Lao39Li92clmEgWp+PzcvprOPQRZj09jv2UTx+AFXiYufR5Ozi2CiLcblRyNyvGes9gosHjCIOT0vME4Pk+SJHMNBEFC+bxqeyddTnYleP1CfUJY9NZGJ5sv6QzcCTeMOE4ysVAgmwud4rPD6Xtmii8eBVPNCBwAtscrT+AAuPIM850vGySJTLhYcs66Nr0KGDlCHHHcb7i4VKZReX4xi1fvk7+isN0gCzCAJwYCJ+F6IQcdG02Rmavns4Lh+O8lSdzA/aFHEMVsHw7w/Ij+yKNeMgjDmMHIJ2epWJpKKS9U7hYaeQo5A12TsZ2QOA5xQgnLUiGKWZ0vcdRxGDoBhZyGoiiEUUirL1T672y2cf2Qw7bNxl5PqGEnYOZ19pujCeX73tB/otJKq+dkrhcn2UhjRRmApScoaZ+Hf/nDC/z1r7boj3xW5ooMbJ9KwcgW+87R8LEkjimm+DJwZaXCztGQKE5481Kd3tDP7tvaC7AM4zjmk0cdBrZQrb+4XOGobWPpKq+t1hg5ASMnoD8SDYeipVMtmeQMjYVGfoJEMvm8CQdtm5ErlC/ylrBYTRIo5Q16Qx9ZFqSuJEnYPRpx/UKdoe1za6ON40bCUjFJiGIIwxDPVzENmUE/ZNcLWV8s4/kRlq6CJPHGxTr9kY8kQ3/gYRgq1ZLBxl6PnaMBnaGLIoskqmDp1CsGpbzByAlQFJnvXJ/nt3ePaA9cGhWLIAg56DiZg5HthuRMbeq6M8WnQpwASYwfgSqJAZwbl+d4uDvEdgSxqZDT+elvd6mVDHRVqGn2R35G4hCNNkHU1BQZTZX54M4hvYFLGCUoisxec8Q3jmshXFwURIogjLmyWnlmRVnXC7OCAzChQAGiIaKqMn4QMVvNYepqZq2aNzVy6VDP0PGZSQPQge0zdENKJwa97211OOo4lIoGw5HPQdumUbaEUqgsI8sScpwwcH26Q49q0UDXZWarOZZPqbteWq6wfTggihLmG3nUE/vUt1+fZ+SGbO0PWJkr8O6NswMhYxx2bDb3+/SHftbM3m+Onum6TTHFZ4GPH7S4slRh63AgSJk5jd3mCFmSkCQZCVEIdbwQFdB0NWuyjOyAKBbnm6JIgsSBxMjxGdo+v7l7xDtXZsQwdxKzeTBk52jIu28tnlGzfRK6J/eEROwRxZxOp+/SHXq4fnp2VqzPRKETYL99vA6HdsDQ8SeUHL8smLrK739rhZsPWmiazDevzT39j14ihFHMXrrHzdVyT3RWm+LLQX/kM3ICDF2hWjSQkagUDZI44ecf72PoCpeWyqiKhKrKwuZbAlWGIEjITsNENEZkBPE5CRMKFRXLUAmCiN9sCdeqetlipmLRH/kEqQPmO1dmuLvZJogi6mWLnKly1HFZW5iSOKaY4vOE7foTam5HHYc4jjNyhhdEHLRGKIqMqsn0Bi6docfaQok//v4a798+TIVP5minZNDuMMZOhzhkSWI48ugOPUaOz9tXZgnDmI12H1NXafddWj2HKE6oFAxKJZ1mz6VaNCecCtwgpl6x8LwIy1QJwphmVxApoijmqG1jpwqaj1NJOmgNSWJIYkCG3ug41ojjhL7tnzssahkqV1aqHHVtDE1hda6YuRI1yhbtvsfIDbF09czQRm/o0R145+b7D3d77DdHzNQs1uZLGcltvn7suCfI68ffz0H7s8kZhk5Aq+dgaAr/8vcu8Z9/uYXrRXz79VnKhZejLrEyJ9xKXD+kUbaQZYnDjo2uKWfytFcN1ZLJD99e4v5Ol7yp8Y3XvrjYbq85zOL8SIrxgoiffrDDrY0OcZywOFPAdgNAopjTqBUN2j2HnCGGnyRJ4pcf79Puu0RRQt7SaFTymIaH4/qYpoqmCEGm1fkSsixRyRuEcUzeVMmZGrqmcHmlSt5S8fyIBPjhW0skSUKz6wrXlbyBF4j6neOFDHsBnb74b72BWFeeH6IoMpomBGCSJMnU870got13sQyVxbTZ/7gex5Mw7j0ctG2iJEGRhANZf+R/KhLH6+t1wjDmoO0wV89NewRTfKVwXj0PTvTgTpzVJ8+jzuBY2TaOhYjSpyFx9Ec+li5URYepi9DiOY4347N6tzlCkSWSJKHVc7n9qM3F5crEoNFpRHHC7Y02H99vUiwYKCmBda5qsb5Yyoa1cqY24SDV7gu3zfPilqur1axHs9jIIyEGR9s9oT5byBmszhf4+IFL0dJZaBSI44Q4iQmjBFWBge2RAI4nHJOFI4iIq773xjySfHxd+ydcP6MowfFDZqoWD3f7zNdyvLZWxfWjCZXyk/HhfC332D7O47DXGmXXb+gELNQt/CBmppbjd24siMe07ezxnh/R6btTx6IpvjRsHQyJYxH3vEiv9FXBylxK4jgY8q0vMD6d4tVCtWiyvliiO/BQZAkrinEcn5sbHT560CSJjwmce80RK/NF8qaG64Ysz+ZT980EWZHYb4+I4ojf3DlKBZ8q9EcBEuKsafdsYiSGdoCuKdQqFtWSyeXlMu2hh+9FLM0VKaaE7mJe5+5WF0mSaFRMHu72KRd0vn9jXpyVcSL6n21biEgkCY4X4vlRRg5/HDRVxjTEPFStZKKrMq+t1dhrjlAUKXPMmmKKKc5Hf+RPzO/tHY2y2YQ4Tri+XuM//nwTP4xYbuRQpQQvIROpvLRcpt13MXWR4x907Mzxr1ww2GuO8MOIesnk97+5yq9uCtLV9Ys1PD/KBGNOzyI0uw66phDHMZqqsLE3YKYiiF9zVRELj3uny7OFifzF88OJzzQmW3uB6G+czCMKls5/888u8/OP9tF1meXZAj//7T7doYehqxRzkzlHGMZ8/LCF44VcXi5zcanMb+83ASF4dxof3Wtyf6fLQqPAd984K2A9hh+KXkx34CLJUiZi+6wQwhwj4jhhvp4Xc1uPqbOcrDeLeRQvuyZRFGcEDjgWDxz/vSxLzNZyjJwA01DQn1FAZ4qvF2w34KjroKsKc7XP11Xm88Bvbu+d+d3mYY/V2bMiUy8zGmWNZk+sZwkyEYhXCYszeeplk97IZ6Gep/gKimn2Rz7JxJnkTUkcLzOsE+raQBYUPQlRFHPz0bF7h+2GmSp+3tJop80Txw/J6QoPdvtUCjp7zRFLMwV0TTQwy3md3sin1XUZ2gFvXqzTSv/W8yNMQ8H1EyQpIQoTijmd5dki+20HRZHpDDw8PwBJomBpbB8OKeZ1/uqnjwijmMO2y8D2RKPJC2hUTPZbTvY5nlRoPckAPWjbXFs7VtIyDZVLy5UXudxYls5f/OjYImjnaEinfxwUnmTGTjHFywBdUyZUJ3OmxgIvzmp+7/Yhtx4JlTrHC1io5VlPD+zZeg5JFuuiP/LpDjwWG3mqZZMLi+Un7k8b+3322zYbuz3iRDSGgjDC1FVypspcPUer72JpClJqO+56IZ88amM7YZaMWYYglKkp6912fbwgxtBVHu70KFgq6wtlqppFvWyiKBJvXZ7hFx/v8WCnx/3tHl4QUcxrjJyx4odMqahzaamC7YV0+h6HHYeR49Mfeeiqwq1HbbYOBizNFHC8gP22zfp8CUmSiOLzlT6mmOJZcNgeMp5zChPYPBjx4++s8dpalTiO2W3ZOF4o1OEOhnz7dVGIP73exgWPjf0+O0cjbCfg0V6fYt4QzcxTxciNgwGSJFwpNvcGlPPGMyVJhq6gKrIgVZ3zPhRFPuMYlrc0ugMPxw8ZuQEzVQtTVxm5IQVLwzIUcieY0fe2Ovzso33iOOH2ZofFRh5ZFjahr1+oYRoqOUOlNxLkr+7AQ5Ylvv/mwrnDX5oqn6vOO8bvfWP5qZ97rzli60AQXjtDLyXUKFTLX90G0BQvF967fcjNBy1A5Ad/8J1VfvL+DrtNoZIFoKgyYRhlg1GxBBcWy/hhSG/ooSqiEVPMaZQLuhjUTKA38pmt5dk+GCLLEg/3euwcDinndf7mV5v82Q/Wn5kUUbD0TOV6/HNnINw59lsj+iOfhUaeVtflxuVGNuz4aVArmdlrGrpCznp5kvS5Wu65SDAvE+5sdjIVpc7A5calBpL0ahXTvurImxqmLtSucqbGXD2HJMF/+MUG7b5HkohcWZYkDEMhDCTCOEZRFPwwdeGAVNFOotlzKVgamqwAEpIkBnX2mjZxknDQsnnjYp2FRp67m10AojhmppZH08Q53rf96dk4xRRfAExdFU64aeOsXNAzAodwzmvhByJef//2PhupQvVH91uUcga//y3hChGEUUastnSVWw9bxEnaeOt7lNJBvJ9+uMvafBEjjdk3D/u4qTNGd+AhSSVMXRVEUuVYoa5W0tFVNcszHD/M1JG6Qy8bHjxo249VvpsrmyQJSGnIkD/p9CM9uXZ4UvHv4W4ve18JglhhpHtXGMXZkObA9icU+ZIkyUgeG3t9/vGDXQDu7/S4t92lVjxWJ3zzUiN9jyLHcdLBy1rp0xMsXC/k1qN2Vh9eaOT5r3/v8qd+3s8ainxWQfuLdKz4vLG2UGLtS1ByThIxNC1J4l7bORry23stXD/ADxIeHfSpFEzKeZ2Hex4SULBELWDohtzdbJOzVPaagtQUJQlvXKzz2nqVKIQ4veGXZgooaR+iP/LRNRlFllAVmRuXG1xbmyQttHoOb14UFhjv3T5AQiKIYhRZwjBUdF3hqO1w2HHwg5ih4xPHMYoqkzNUVEWecP8rwISgU3i6x+GFXH5KzX/sHhqEMf2RELpZStf3s/RVnoYbl2e48amfZYopXj6cV8873YO7ulrF1JWJ8+hkKVGSjl0fXhT5VOxBuInrrC+WztQrT57V7b6Lrsr4YUxn4JIzNW49aj/REeT92wfcetShN/S4u90ljhM0TSGOEipFk++9uXDmb9p9l3up6+hB2+bKamVCWO50j+bjBy3ev3OYxRN+EDKwQ2qlHHGS0KiYmIaK64U4fkR34BGmA1D9kY+EhKmrFCyNcsHgxpVZVOX4OuQtLRugkmWJoe1ne7wbRFRL5oQr6un4cGj7T3VjPo162WTncEiza+N6EXlTIW/pFHM6Xhij61AtGll8qqryGQejKab4IjF2jllfKH2l61krs0Vgj+3DwVMfO8XXG7PVHLPVXOak/Xfv7zByhUPf0Al4+8oMcZLgeiFHbQdNk5EUiTiRKBUNdg6HmIbKRw9aDEd+5oQ9tEVvYa6WY2AHjNyIOI6JoxjFl1EkMX8zW8uz1Mjxd+/tANAZePzgrQVuXJph/vYhH6e9D0NXuLRcxdK1NLbQsAyVUl7nqCOEILwg5vLyk+cSAIIgxvVCdE1h6ATEsThDL7+CatNTTPFl4HTNrVGxcLxj976ffLDLKJWkv7/TI4yP84MEMteOMU6Ssx/t9TlM647NrsNCPcefvXsBAEWRhODceEbylCDc8mwhddtShIugoWQOe62ey1uXG1ntwPUn62mn85WBHXDYFv3Fo45zJo+4sFjO4vyDts2dzW42izBTnez9/ezjPR7t9rPPd2m5nAlLPtrvc+PSsYXC7c0O//anDwHhbhHG0WOFJhVJEOgy58RzH/V43N3sZmIzrZ5LlCTEkbgeJ2dJQeyRYwEemLz2iiKLGdG03mkZ6gQBJG8Jcl4lrQMWctNcYIpJ+EHEJ4/aROn95wXRK+eY9+03VoD3Jn73qhE4AHqjMPt3AkRh9PgHv6TwghhTVzF1VQgUftlv6AVwOpZ9Uq/rSZiSOL4g6JrC6+u1TLVs4RkGhV0/mnDvOKn+tpAOQiZJwuvrNVpdh1JOI0qZ7P2Rx7XVGnutEXpOKMrYbkBv5PH+3UNmqxaWUWBtvsS97RaaKho5uipUfW8+bDK0PaI4IYoTHu71eefyDK+t19jcH1Au6Hx418MLIiQpxnZDWj2HG5dnKBdMijmD7tAjb2rM1nK4Xshea4QkSSzN5NFUMXx2Umlm/Bkf1xRMkoS95gjHCxHLVqKUE/aIthuw37JRFImlmcKEOjeI5tXvvL3IzuGQWtmcsAObYoqXFWEUC+WnKGG+njtX6freVoetwyGNijWRMBx1HAapum7OVFmeKzC0fapFkzcu1Li33WPkBOwcDgmjGNNQeO+TA/aaQ3749hL7LZvDjs1ivcC19ePm7tAOiEKhLAUiQMuZKqoq06hYXFgqQwKOG1CrWLxxoUZnIIbPKgWdncMB1aKOaShi4NvSUBSZrYMBOUtCliSiOKGc1/nGtRkOWjZHXZskgVbXxQlCodwvA0mCH8SZUqGiyCw28vzst3t0By7FvBj0eLDbp91zmalaqIrMXksQ3Vw/Ighiwkiw+4d2AC+wNRy0bbF35Y2pm8fXGI4XITEh+sC3X5+n3fe4vdWm4oZ4fowfepmi6fJsIbOpH2NoC7eKR7t9HD9kkDKOdV2hlNOxDJUHOz3majnylkZv4HHUFc4yaureUUjjAYDFmQLGCdX1JEnYbwk3nXJBZ7c5Qtdk1uafbnG/Nl+kM3DpD32SOOHmgzblgiaU9RoF3rhYzwq+APtp0cYPI4IwZuSGzFYMPn7QoTfweONiFdPQaPc9ZqsWUqo2Gici9tg9GgrlwFpuomH5NPSGHr+91wQJ3rkyQyGnZ3HC1sEAXZUxdIV3rjTwgoi5Wo63rsw+9vk6A5d2T6iILjTyX+lm0RSfP446x2qGSYKwzvUCZAlylgJOgqrKOHFMkiQEQUwQxtzabFMtGKiKhKEpGLrGlZUqM9UcO80hvb5Lq+eiKj1kGb5xdZb7O10qBYO8pRFFCc2eM0HieFL8PFO1SEgYOUKps1I02NwXRctxcdfxQoo5oc6rqZ++iPd731zmw3tNwjDm+oUa+mdADPki0Oo5dAYi75mv516qPSJJkozAAeB6URb3TPFywPFCOgOXxZk8lYIOkoRpqPzDb7azhoVlqOw0h4LcFCnYSYIUHUcdigJ+KH6UJLFnmIaKrgpnq6urVRFrmwq9kY8bCuXvOD6uNfiBUOju9F3iBK6uVCectaaYYorPB7Is887VGf6/f3sPRZH4/W8tZv/NDyIe7fX54O4RmiITJwl5SyWMYhRJpjNwMzv7vKkxW8/h+RELjRxuEPJot4+ZOvH0Rj5RFCPLUB0ZzKQkDgmJhIQwTCjlNXpDnyCMMXSFpbk8f//rbYIw4V/9s0t4YczDPaEKrchyRuIIo5iPHjRp91xma3kKlsZH95vIssQ7VxvkUrKGZmj88J0F3rt1hK7K/P63llmdL+J4IbWS+czOXj94a4n83UNcP6JeNtlrjmj3huiaQt5SCaI4bSAlE8lZe+Bie6GoLR4dO2rEccJhy8lIHLYbZupzqirzw7eX+elvd1AVhR/cmOVvfrXFYcfm2mqVb1x7fA7xOAhX0+M3drLW+zzwg4jd5ogkSVho5F9Jm/GvCwa2z2E77Qc0CtzZ7HDUczE1lTuPuvQGHqRO254X01gyKeR0+kOfIIwY2B5hGBPECZoiUcppGIaa1d5uPmiydzjk8moJP4wp5Qyur1e5s9GmPfD45GGLRtkiiMRZ/ztvHw8TtHoOHz9ooSkyK/NFgjDmL350kZ2jkVBc1BQSYGk2z+pskX/zDw/EYIcEQRhTzKkYmsrO0QDHC7jkV1ieO1tbONPjONUPGNdBdE1hMXUH9vwwI2yV8jqyLHKUUl7/TFS4D9s2fVso8c9WX02y9hRTPCsGJ3JC8bNPFKsT55FlqtRKFq7/fOfy41ApCnfxneaQRtk6d50N7GNF4Eb52B1kOa1lxrGoY/iBIJUpioTrR1SLBvWyxWHHIUkSZEnCcQNkWaJU0Nk86LPXGlErmzQqFv/wmx1cP+K71+eIYuHQG8cJBUvlnz7cJZ/TmSlb6LpCMadnAg6uH3LzYYvD9ghZktE1BVURcVfe0ojjBCPdt0p5g0bV4pcfH1CwNAa2j+OHzNcsijmDdt/jxpU6b1+ZFFVYninQ6jrsHA1JgN3mkEbZFOIdiSCemunA62w1RxBEGYHjvO/2WfDDtxZ57/YhUZyg6wquK3q3OVNlsVGgmNP5nbeX+DCNt15bq2bx3BRTfBkY1yOfpX/xKmMcQ20dTEkcUzwbqiWTxVkLP4qRJVL3PQ1dkVFVGV2BX32yR38kzkhFkniw1cP1Q0xdQQZsL0AJZCQJRo5Go2Jh6GKmqdlzGDkBQRhj6SrdocfFRYvvvDHHo71B5vw718hTKYhz/K3LdXojj1bX5e0rDRqVHK4fUi2aNLsOfiD6qLqqUM4LAuFCI8/STIEgjNk9GhInQmHeSoevXT/ksGsjyxKWrlLMa8ivRttgiim+VPSGHs2ug6ErLDYKlAs6+22buWqOKysVfnuvSd/2ubhU5j/80yO2jwYkiRB0a5QsuiMPWYLVc3L8iddJ5xTCKKZSMHjjYj0jhCzU83QHLrc3OlimxspcMeunFSyNv/jhOgcdm4OWzTevzlIvWZnTRKVo4PkRqiUWvO2GDGyf/tDDD2PKeZ2VuSKGrlDKGxy0RjR7DkEQUSqIWUW3bZOke8p4PmLcD/29byyzsSccg964WGe/NWLoBFSLBq3usUuhH0Rs7vWzuHt9oUx3IPqxuqawudtjaPvYXoiuyuwcPt7FN0oS5ms52n1xbatF48z3dJL4HscJu80hnh/RqFh0hy7NnhDrzhmqcGB2guPZqROYq+WQEHXISiogehKvrdUyh76xg+oY5YLB5ZUKvaFH3tKmNZMpzsDxxHrsDTxUVclcwF4lbOx3z/yu23OpvGLidmE4SXm4t9Pjh9/4kt7MC0JXJdo9h/bAZW2+/NwEt5cBpbzOldVK5gr/osKg0w7PF4i8pXHBenbmlqkLa6pxUe60ZcxcLUfOVJEeSaLxs9XF0hWaXQdLV9g8HIohaVPjsG0zsIXCV7Vo0h34rMwU2TzoI0lKausiloKXFgKHdkgiJcQRlKyYB7t9Li4NmK/n8APRFI2imMOOi5eyuW5ttPljb5X5eiFjrsZxwieP2lnjZeQEvHFRTEoLtv0xA/RJQ5o7R0N2j0YMbJ+91oiVuSLtlIm1ezTK1MQdL+S1c9RnTrJrp5jiVcD97W5mddcdeLx1pTExYLmx1+dnHwk7wp3DIbIkZWtLliX66TDAyA1Yns2zMifYrz/7eJ8wjLm33cV2A/wgptMXpIckgf/Xf7xNwdJRFImdwyGaJnNxSaydUl5n5AZoqpw1KhwvwkKimNORgBuXGxPM9rypIcsS97f7NHtutheYqerwXC2HDHRHPlGUYBoK37w6jx/E+GHEJ486eF6ArMioisxs1cLzI5Ak/CAiimIW6nlcP+L920ckiRhaLOZ1LFNFlkRS1Oo6zNZyWSJiGSq6JmfX9PQw/bPgsGOzkSoBtXsuqiKd6yAwxVcfOVOZIHAoslCcqBQMvnVlhv9x6x4jJyROEgxdwdRVml2XetnLEmc/iLi10SGOE7YPB/RGYqDAjxLeXq/R6Xu4QUSz69AZuLx1eYbu0KM78HC9kIETUCkafPSgSaVgUika9Ec+b1+Zyd7XXmvE9sGQKI55uNtnsZFH0hQ29gdcXa3yJGzsD5AQrjUf3m9SLhjIksT33pjn3bcWzzx+vp7j0W4fXVXQNYWCpXFnq0dv5CHJEq2+x//mT6/xvTdy7KSDqrIskbc0Hu32aPVEkaQz8LhxuTFBRnkc4jjmP/9qK1OLa3Vd/vxHF4X6RRjj+iHNbsDKXJFyWkx6UmN66ATc3epmTeUoTs4o0k4xxfNgrpbLYl/XD7mz0eGgZdMb+dhuSALEiXDki8Z9+QRGjlCmMlQZVYW8pVIuGuQMlSCIOeo52G6E44Y0ew7ff3Oe6xdqmSuXokjMnHCiC6OYW486T4yfZ6s5OLEtlPIG+y2bnKnRG3oZifPTKnSOYeoq373+eKvhlxG9oZcpmrbTPWuh8fK4ekmSiM/GA6KWqZ4hu0/x5SGKE26dyJNLBYMoSri92Wa/PWLohECcDlcleBHEsbDzRpIIQkHYOMHFIIzAdgJ6Q5dGWTh6NMoW/aHPva0u/aGPJIGqinN4jDgR5HFJklAkMdQ5xRRTfP6Iooh/9w8PCKKYIIJ/8w8b/B//1VsABF7A3723LXJfQFMklmbTOFSaPG/KRSNTwfODiOXZIgt18fNH95scpcprsiyRs06c24kgcmiqRHfgMXQCFFlmYMPfv9ciTIc7/5//6TZ/+r0LrKU1hSCMsgbeJw/bWbxx0B5x1B4xlwrXtPsuf/7Di4BQeUsSKRNVCSJeyAlTV2W+/bqIF1pdh/duHaY1zQA/jDPRnCCMxaBK2vxsdZ2MxDhyfeJ06FOWJebqxzFS3tKyv4nSZunSjLju//NPHrLXFITcjb0+OUvj2lNyqNPIW9qEU/OL1CFAKP2Nlfv6Q5+3rkydtl5GeEHE7TTHB/jwXpPu0CdJEraPhkL5MAhRZBlDT1ibL2IZGrMVi6OOzf3tIUMnZGgLS/b/P3v/FStpmt53gr/Pm/Anjs1j0pvK8u3YJJukKJEaiRLloBlBxO4C0sVerLBYLLDQYoUFdLW64IUkYARpFhIGGu3OSFjNiBIpypDdzWYbdnV3eZOZlf54Ez7i8+7dizdO5DmZlVWZ5bMq/kBV5skT5gvzvd/7PM/fWKZ0np1vulQsk1GYMgpTWv0IXVf5+uVFTi5W2Nj32Gl73N7qE6eFND2ZK/HihfmJUDpJMr7z8ibJeI0Z+Al/7udPAbA8JwVWb99qIwQcdCMWZlx+9eurvHJln/4oRtMUQKaDXd/oU69YbB14/MYvnH6gL+aYGoauHhNlHOJoH+TwPTu3UscydSxDI07l8a0uVD62vn67H05cvbuDCE1VjrmKTjHFFw21kjlxxwV5Dlqmdux6VCtbH2st2xtFdIcRjqnjhykH3WCSiDU5Dtfk0BFHURROn6gRpxk7R8SW2weyRumNIrxA9vNkD15lYcZlfXfIMEhwHZMsydnY8wijlLJr8r1Xt/CDdLKObO6P+OqlOfojWQe9favN7NhU5mV/n69emse1pVv4XN3h3btybdrvhqiqwkzF5tSJCnEi17L2IGRptoxtGtzeHnByscrynM+VOx3COCfNBJ1+gqHrLMyUqLoWd7aHx67ZmwcjvDDl+kaPXAgqjnQnf/bsHAM/IYwzHEufrFWNio1lapP94YfZR5imzs89s0TJNdnaH/HWvoepq/SGMf1RxMp8+dh+a4opPmscTeL4ImN1nMC+OU5fnGKKR8HKXI2SbdAfxeO5ec6p5RpBEPOvv71OkuYEcUpeCMqOiT42mGv35TU6yQp0VSb09ryIohBUxuaLuqqCgLQo6I1iwigjyQteensPBcYJngoccdnf64a4loG7YBAmORXXYGm2xJ2dwWQmcnNrgKJIoriuqSzNllEUhRub3YkZkeREzKEq8O56jzjJKQpBmhdUy9Zjmb5NMcWXEVGccX2jN+6XMRZRSUHW0E94+1aHJJPO57ttn63WiKEvz78wzqi6BnOm3LvXKu/Pe/HChN7Y6CWMMr761Dyz47TgJM3Z2PewTCkgv3IkUa47iHj7VkzVtai6FqMoZXN/iB/KXleUZMcS7DRVkYbPUUp7MDbFqtjUKhazdYfbO4PJjM6P5B5aHe+5O4MIgUAU996fiydnJvP+vY7Pxt5oclwlW5/M1GxDZ7vlT8ztvDCl7BqTdW/gxXSGEUJAgOQoPQyGplIpmZP+pGmqxz6nvBDHUhU390fsj+u47jDioBtOjiuKM0QB6XjG+15z2vvrr6MwDe2BBMejmKnaH4uBxhRfTGiawl4nGBu2pJPUlicJDffBWfmTJuAAHkitqJefPBnAlTtdtsZ9oGt3u3zl4vyHmht91mhU7GNJrx8GT96n9yWCpqk8dbrJQTfAGLto3o+Ka3Jx7Kz5zacX6Y9iKo5JpWSQFzKixTI1KiWTIE6plUxsQ5NpG+O4sSwvqDgGuQDDUKk4Bt1BhGVopEWOgiDJc4Z+zI/e2uErF+fxw5RyyWClXMKLEhxLx7akG3d/GPOTK/vc2uxTK5l89al5bm8PQREgFBTA0KVjfrPmTBSi1ZL50BQOkOpaQBahQv7pmDoDL54Q0ACCMHvYQzw2Wr2Q7jDEtnRW5ysPRD5PMcUnCT+6913O8oIkzY8R7w6dLw+x2/EwdBVVUVhqlvBXU4ZeQpxltAcxJcfC1FX6XoyuqVRdSRTTtYLBKMYyVFBkQo5paDiavER0BiFnlmvstn2COMWxdL7+1AICGX+63wvY3BuRZQXVssmPXt9mq+3RrDn80vPLHPQDLENFIF24usOIgZfIYyiZaKrCU6cbZLl07H/+3CwX1mZ4/UaLjd0R/ZEsrFzTQNFkCo+hqyzPlbEtnc4gZGHG5fbOgN4oRlHkcCrLc4ZezsW1BicXquz3Ap4/N8dTZ5rsd6WK/5mzTfwww7X1DzWwDaLj640fpQ8Vcex1/ElC0cp8+X0JFrttn4EfU3FNSbKfkjE+95hrlLHNFklaoGsKK/PlidNEljNxvhRCYB1xSQ2ibHLtC2OZvNEfxfhRSpYVFELQqJjc3hmQpsVEqJXngjjJqFdshJDrQZwVrO8NJ0k8QezQrNrkuSRtwL1rZJoVhFHK+t6Ietnk/b5inUFIux9yc7M/ccNRFRlhbBoq79zukOXSyULXlcn39txKA01VafVDfv65RQZewkHPp1q5d62/uzfi+fPzmLpGlGQ0aza2qR87t4pCRj9/kIhjp+3R7ofsd/xJE3cUJITj9xLk5tnUVZZmSzQq1gc6CwZReqz6CaLHd7ibYoqjePbcHEMvoTOMWGq67HYCUKSwcOAp2JZGnhcIIWOMD5t3miL30LomBYxxnHH1Thfb0vCCjCDMUFWVQhQg4K2bbX7x+WWGQcJglPDM2eaxffbQi9nYHyKEdLwMQrlG+GHKdksKQ1cWysdcnesVi4snGyw2XaIkx7F05urOl1oUcNi4PYT/OVwjLqzV2e8GCKQwZ7qn+PwgHSdVHeJwUOkFKWXHYnlWflb1qolr6ey0fTb3PbJCoI9T6TQVKOBoQG6eC7kmNOS6cWu7T5oW1MoG7UEkEzxzgQJcPNlg6CcEkcnCTAk/ytBU0KdpLVNM8anAC5Njdf/Ai8nzHE3T6HgxqqIgCoGigmubPHu2yX435Nmzs6wtVXh3vTdxajvEoZP9jc0+JdvgqVM1Om+EhHHGU6eaLMy4tPsRFddkbVESIfNCIITgoBfS6vnUyhZelE72AX6U40UJ9nggWC9bDMZO+rYtydlxkqHrKqMwYQHZZO9798RieV7QGJO8VVV5IFJ64MXsdXwMXWN1oYLxCIlcuRCszlfwwhTTUBn60vSlKAQzVZunVhvEaUHJMbi51Z/s62tlmzPLdTrDiPmGw0zV5u1bHQDWjjj8plnOyE/oDiMURWGn7RNGGVkuMA2VvY7/2CIO29S5fHqGziDCMrUP5WYnhJgIOECS3rNcYOjTa/znDVGcHXO6z/Ic25Tu8oauoikK1ZJJGGY0KiZ/+ZfPUgiBbepomkJ/FOFYGUkqSUslW8cwVM4t1dA0lbwoGPgJmqrgRykvX9nnpbd35X5PSIf2Zs2RwiQhSNKcl97awY8yiqKYpIB0+iGb+yMurtU5uVRDVRWCKGXoJwy9BE1TGPoyQdOxdb761ILsW3kxohCEmeyrCdugN4of6ItpmsrlM3LGoWsKaSa4tt6lXpY1+dH36LDmlr1CmWquqeqHdjB7L9y/Zw+ijObU92mKLzAaVZvza3W84PgM7qNej+5HXgi29kdESTYhEx3ivWrlsmty6eTMxOH1kCRkGlKkULJ1bo5NE+IknwgXAG7vDHBsnZJtTFJ8dU3h7VsdLEOj4hrsdwK6w4h62cIyNdKsIIhylufKtPsBfpSQtgoKUTDwUlRF4dlzTfwwpVGxidOcuYbDynyZMM545myTlYUKjqXRG8bMDx1qZYsgShkFCet7QxRFwTA0nAJKtlzL8lwwV3fIcjG5ZuuaNK27erfL0IsnicqGoWJbOo6t0x2GjJIMQ1PpDCOiJOPpM02eOiXXxq2DEbe3+9zY6HFyqcZM1eLEXPmB9/m9oCgKl07OYOgqnUFAnBaYpnpszvpJot0P6Qzk3HVlvjIR0E4xxXvh0ERt7X2Ihl8ELM+XURQ5zxh48fvyJaaYIooztg48srzga08tcGd7iBAFpq6RC8EwShFCSCMXVYUilyYGikKz7mDoGiVLY75mMwpTslim5wnAdUz6gYeqyuuFKkBRBZv7HlGSs7pQYb7hMlOzSdJinKQn13EvSGj1AuI0p+SY3Njo4zo6B72A3igez+kEtbKFZcikqcNr4NGZoDSukZyIOMmlieQshEnOhdX69PyYYor3QLsf8Pr1NpqqcGa5xlEtQW8s9AqiFMcysC2N0ng+LoTk+xQCRCEN5F48P8etnSGmofKnXlw+9jxFUfDquwd0BtE4kc5kruGS5YU8p/N7TxzGGXd3B9zc7GNZGhdWG+iaKpM/TZ2+d4TrNDZpnas75IVcJ7JccHi254Vgdb7M9oGcjxym9RzyHlxLR1Nlct/CjMPAiwnjbJwuYuDaxqTX6N/P7wlTWv2QOMkoOQYXTzZAkXOap882+f5r8aSe0RSFJMnRx4+laiqr82U6g4hKyXzf3oWqKjx1aob9rkwXMjSNOzuDY8dx7LiO1FBCSGMYy9TGXBMNVVEJohRNVT5wXczygs39EUmaszBTol6ZrqNTfHjkucDUFbb3PSxLxzLqn/UhPTZubQ8f+Let1pCVuSe75jjoxR98o88Z4qSg4hrj+YZ6/NrwJcNUxPE5h2VoH+j4XCtbuLZUyy82c9b3R1QckyTNEcgLOEKSml8PW9iWThClLM26EweLQsi4LlPX8KMUxzEI4pyKadAdxahIV/+FGZcfv7Urn9PSCaOc86szbB94lB0D29TYbHv86PUdikJwY7PPwI9RVRVVVcgz6bK/MooZBQkvnJ+jUbUfybm+XrHoj2RDt+/FuJYOiiQjJWkxIVF9XBuOoZ9MNk0DL0Hhi98kmuLzhUbFmjhT2JZ2jPgNsDJf5sqdziR5IkmKiZNUGKcsz5WJ0wGqpiAK2D4YcWa5zonZMmmaYVkapUzHDzPZbMkk8fPEbOmeYEmRz9MeD3QPsdgsTYqQjf0hgzE5Y6s9YjCMMQyNvU7AdsvjxQvzAOPCrWB37JhhOxphJIc6hq6z2HQ4t1qfDGy8IJkMfNJUoNgKmqqiKshisBDM1hwWZ0ooihzmqKp0KO57MWvlKtWSSd9LWF2wePHi/MT18yjJZeYjnNb1ssVBLxg7hvFQlXFvGE0U/IcD8KPHcBRH3+vhWOzycQ6rp/hkUCsZKIoyERoYhka9bLHfDTANlXrVxjZU2QQZ9y8UBWrle44xuqZw0AtIs4Khl1AI6bZ9Z2fAuZUGSVZwY7PP5dNNLEPDsXSaNRsFKPKCvY5Pmhm0+yFFzcEyUxSUYwLERlUKqVRVZRik1MsqoyCdxIDeDy9MubU9ACFTPKI4BwRDP6XsmOy0PRZnStze7vPGjRY//8yS/I6rCovN0gMpWP1RzB/8ZAOQKv3nzspzcq5xXERVr1iT67qhq5Sc9xdbtPshW2OXKiFko6PkGMw1HFzbwLH1CdFpdbH6yGka1ZJ5zJnwo6qnp5hi62CEbeksz5WlC5YQVFyDoZ/QrNpEaUYU52iH37vD9UIFVUGSOYWg7yeMQkky0DR1QuICmTBlaio/emOHWtmibJv0RjFBlE6ES+vjZl2SyoSan3t6kbwQvLt+JJ0jyXj27Oyx46+9R+zulxkPrhGfv/dGOi8/GpFjik8XlqEduz7N1GyyvKBZs2n1Qpp1h8WmyzcuL/Lquwe0+jFFIdBUhTSXf2qqQqEWcIRrUwAogiDK2DwYMT/j0uqHDLwEQ1MJ44zuMOL0idrknE6SjHdudSairOXPUaLMFFN8kVErS9F1Z2zQsDxXQtNkPTFXc1FVBWW8l9c0ldm6y2zdlc71d7tSZCHg7u6Ai+NErTDO2DzwsE2dvBC8cbNLIcAydW5tD5ipWlRKliRF5PmkH9fuB7K2RQrES44xGbw2azaNyr26pTeKMA3Zn0iTnCzPpZi0KJiv39tnL87cW0t0TaU3iifrjBclk9/FaX7MeS7Liw9MCQR5HXYdY5IEOgpSRmNxSZYX/PyzS5jj+qxetib9kpJjcGa5xtmVOkIIXr/emhzXra0+L4x7GLqm0hqEk3VaU1TCWBJI86JgvvHhnPtd2/hAMfn7QVGUSY/08PU8iuhlik8fhySBQ9Hm6RM1krTAD2XCLUIwCjLpRo/K7e0Bv/aNk4D8/t3Y7NMZRPhhSpwVuI5J2dH5xtNLuI7Bd366QT7uBwZRSn8ke/BDXxL/FAVQBK5jYBgaO22fm1t9VEWh7Bp0hhFxkuOHKdWyyZs3O+hjIZWmKhx0Q/KioO/F1A8dbwXM1m0sQ+X2thSGtHohRUVg6tpDz4vDGcdex2evI2v3oZdwaql6LIn8aM1tGhor8x9/EuZhrwbpEzOtb6b4UuC9HAE/6vXofmzujyaJH1GSoShgjfcLD5vZVUvmA2kSh4KSohA4thRQlhxj4rEy9GNMQ2PgCaIkx7Z08lxQsg0unZxhp+Mz9GIcS6dRsRgFKaoK9arNmRM1SdBKZbrhKJAphgIpIrtyu8uz52YxdJWya5AXBXN1F9NQadYc6mVr0lO8udWnO4jGwjdpPlMIwULDpTeKAYGqwNmVGrquUnYMyq68Lux1fHZaPgqKdNEVAk1TMXWN1bkKYZRhmTrtlkdnEKJpKpWSwa3tAc+ckX3hm1sDgjClN4pp9UMun27KFPNHnCMYusrybJnXdR0oSJJi4nz8ScILEm5v35u7Au/rAjzFlxteKN22AU5+wZM4bFNnruFy0A3Y2B/x7HR/MsX74Ppmbzyrk873L1yQPfzOIEJTFGquhWGogEKmFmBolGydOCsocsHiQonTiyX+4KcheSHFHpqq8OaNFqqi0PdiTF2VYsSxIDGIU+LUYr8XcOZEDS9MaVZ1KiVzMhuPknx8DYTdToCqCGq5zZ2dIVkuRSZxmjNTsXFsA9O4l/Jdr1gTF33Hlql8yrhu8QKZsnVi3qQ+ndFNMcUDyLKC7/5siyST60JvGHHqRG0y6ys7OtstDwQEccb5lfrkvpqmcOZEnY0xN6VWMqXgYtyXi9LjIt+3bnUmibytXsjZldpkLnb/PN+PUl69dkA27i+mqeDEXEkeR5Qx27Bp96LJcZxdrst9OjKJ9LDfJ1+DQckxWV6okO+NJs/TqN4zyszHhhkDL8Uy1Yk4rCgEs3WbNHvvOV6aFffSROKMsmtQLVlUS7L3lmb5JNVDVeUaddjnmW+43NzqMzeuYWzz/Sm4hn6vz3Fo4Hv4Od1frzUq9sT4Sx8nrB7+bJuy9jhcQz8oNeP29mDSRxz6Cc+em/3AY51iiochzXLu7IzICsjCjPU9j69d/qyP6vHwzLmFB/7tSRdwACx9DAYdnzbOrdZY3xtiGuNrwZFr1JcN01X5C4B//QdXWd8d0aza/Po3T2LbOldvdygQzNZsXNvk0loDYyzmuLUzoFmzyXJwbY3uQEag18sWuq4yU7UouwZ/uLfO0AfDkArSkqFSsjVGYUqnH2E0HaIk5xefP8HTZ5rkhWCmYvHD17fww2QSazj0Upbny/RHMYUQ1MabojwXpNk9d/APwnzDxdQ1wlg6zqRZQdk1qLgmlZJJux+iqSqz9ccr3qI4Y31vSJYLlufKk4ZylBxvWEZJ/l53n2KKTwyLTdmwi9OC0yeqDzgSzTVc/uzPnWRjf4QfJNzY7HP1boeSY3B+tcG5lTp73WBCOHBtnbMrNbww4fd/eAdRCE4uVIkzmbjTHyVUyya/+tVlfud7t1jfHTFTs2n1AlT1+HkajcnV2y2Pdi/E0BXiOOfWZp+Bl9Co2rj2cQff2ZpDo2zRG8WcXqoyW3fZ6wx5+2YbL8qouDq/8uIqMzWb3bbPXsdH01S+fnmOIJLvQRBlqKqCF6Rcu9sFAb/+jTU2D0aUXZNn6zaKqjAYxVxYm6HkGAy9hLmGMyG1fJyoVyyeOjWDF6RUSuYDbqKHCO9fT+KHryf3u3pH8Sc/PJnio6NesamXLYZejGnoeH7Cn7y5y4W1Oq5tcGG1znYnQFMU4jxn5CVUXJM7O0N0TeHkYpUsF6zMV/DChDDJ2Dnw2Dzw8MOUW9t9LFOjyOWA0rE1rq33sE2NtcUKpqGy2w3YbfsURUFvGJCmGUPH4Pd+cBtD18iLHEOXjZeiELx4fo44zcd7gPeOH46TbEIiL9kGpiGbJoau4toGozCh78UM/QTrMH5ZV4nGYq3N/RFemKJKI1AWmyUurNbY64a8eHGO0yfq7/m8qwsV3HETZKZqf6DT/9Hz5vkLc8RxxuJsiQurDblmhAl/+NI6qqbwyy8sEyc5M1WbpQ8gqdqmztNnmvTHKT+9UUSrHx7bL0wxxePAC6RDdG8Y0emHzDVcXrgwzzeeVlnfHfD7P7pLFOcYuoKtaShIoSOAogiGQUKegwJYJjiWRbNmT/b2XhizMuvSGcmkugkhScjz5NDpNk0LVucrDP0EVVVYma+Q5cUx18VP6/oTRRn/3z+4SrsXcnq5xt/4tYufyvN+HHBtg8unZxh4Ca6tTwlgUzwWFEU6L7X7IaqqMFd3EAJmKjYnl6oUhcA0NOlyN1/h5at70tU2LcgFZOM0jaMVgoIUieY5pFlGmmt0BhFxnGOZBqvzFgKYqzvMjqOBO4OQvU7A+bW6TOl0Tc6tPp6z/BRTTPHoKIqCn13Zp9UPmas7/M1fP8+rNzqoCnz14gJ3d4f4oRw2/qmvrPDqtQNMQ+HMEWF0mhfEST4Ztg39mD96ZRM/TJlvuAy8mIEXy315nDMKE9JUUK+YHPRCuqMYQ1dZbLpsHYyI05xGxWK+4U4SNS6uVrm1OyRNBX/pl05zcqnO0E9wbJ3r673JsdSrNj/39CLdYcx8w+WZszP4UY6uKZw9UefOzoAgyrBNjZW58mTvUXUtbm31iZIcy9C4vtnj9tYAy9T4ucuLqIoyccA+6g6epDl3d4ekWcFiU/77za0e9YqNY6q8ebNHmgqePdvkf/3uDTb2hsw2HH7r1y5Rr1gUhaBZtfjZ1X0OugEzFRtVZdLzSNKCfCyYy3LpKjr0ExRFJg6eXq7SG8Usz5U/EYH3btunO4xwLJ2Ti5WH9kzPrdRp90MEMFv/cGKSKT55GLrK02eadIcRmqoyFzoUY5JUo2Lz1q02fS8hzTKGfsKP3tim3Y84tVTh8plZvvrUAi+9tcvs+VlKjkl7EKJrKrd3BpxbrY/T9kxsS2foJ6zvDtnv+gyDhDTNmW+47Hd8uoOIlfkyqiK/14oiTVJONF1ubg8Y+RFpmnFtvcOJWZcrdzoM/QTX1rAtSyYHmjqKIuuGWtmkUbU56IZ0kmzcc2vw88+eoOy+d2/hEPf3vNK84PJp+R4ZuvqhUnIfF7XykV6eazAKEv7D926w1w05t1Ljz/zcybGwZooppngcHO0h2KbO0mwJXZNErvuFGiBTqw+TQE4tVR/o/aV5gaYq432KTcU1SbOChaZLGOW0+zJpTNcUXFvn5FKF86t1rtzp8aM3tkkzwXzDxgtyFEXQH8X8/77zLo5tUC9biELghQlZXjDXcBDI9LOBF/Pauy36XowXJFi6RpZn3BmnfygKkx7A2lIFP0zxwpQrtzuM/IT5pss3n1kkywUnlyqUbJMokWvs7/7xLf7wJ+t885kFWn3pDuw6Jr/ylRksQ6NasqiVZb/YtXQcU2O7FbIyX0VTFLb2RxR5IdPRBPdMOMbzn/tnEB+EQgjW5iuMggRdV6k+pD/8cSK8by5y/3VhiimO4jCFY7buPHT29kXCycUKB92A9d3hA8Y6U0xxFEc5K/NNl+X5Moau8eLFebrDiCTL+Wt/6hzv3OmSpjmmrlIv22y1PMIoZXW+zG43QAgxvn4rZLlgp+1hGSrNuovrmMRpgYIUS1qWjqErzFRNFFVgaCqqptDqB4yuJKRpwTt3OmzsjzB1jUrJ4OrdXAomRzFzDYdLaw1On6ixNOvi2sax2d+J2RKtXkCeC86t1iZp0hdPyt6pwvHatz+K2W556JpMN+wOZZ/j5FJ1YrYHch7z0tt7xEnGU6ebnFn+ZCP44jRnfdyzWJotfSCxeoopPg5ESTYRcAAEScblMzP0RzGWoTEKEjb3ffpeRK1ksth0qZYs4jSnXrY4s1Tj3//wJmlS8CtfWebHb+3y+o32uEY3J/t229QecEi3TZ21xcp7zvNHQYqCPA81TSXPcyqOQWcQUXYNTi7WiKKc/V7A06dneO78HJ1BNDa6co5xo0xD49pGm1eutnAtnb/+q+e4vjXgjRstFpsuy3MlBn5MEKasLlRQVbk+5XnBpZNNzq/N4AXSPLVZs/nuy5vc2upLrs/pGSxTY+QnNGo2SVJgOHIdyQrBfM2lM+gBgtWFCpdONhj4yTiZOOfq3S67bZ+Zmv3AOR8lGeu7kot4Yq70gHHF0c/pfuPrpdkStinFb/WxIXd7EFIUMrGkEHK2c/iaPug7cgghONZXnmKKx0UY58zWHMI4RdPUSTLNk4RBkGLpcFiO2gYEQYrrPtk1R8d78pI4Lp5s8h/++BatfsiltfonYujzpGC6Kj/h+PZP13nt3TYA3WFM+c1dUKRAYr8b0O5FfPOZJTpD6fySFYJmzebuzpAsy9nvhjiWTpzmtAYhF9caCAE/eGOHsSk/SQpJmmHoOl6YkWcFjmvSHkTShUbX0DSF2ZrDfjegUbOJknziStts2ARRNom/ScYbhMO4r8dBvWK9J2lS11QWmx/OLfTmVn+iwr251ef583MYukqtbB1Tvn7QxmeKKT5u3N6WEdy2qXF3d0i9YmHox8+ZuYZL34uJ45z1vSFRUlAv59zRBvzpr62icK+Zr6gKzZrD//Jfr02+83d3h5xdrdHuRSiqSqNq82+/c4utgxFhnDHaG/GjN3d45uycbMioihw2V206g5DtAw9D14jijDdvtQGFOMtpdX1OzFdYaB4hW2SyGDi1VJ2QP/a6Ea1BSJoJBl7Ej97cYa7hTAjguqYyU7V55swsl880OegG3NkecO3uPooiBw2/98PbPHdujkbFIogyVmcrXFydmUSwztYdzq7UP7FY7oprSjfC90G9bLHT8qVTt/L+68lM1Wa/G0wG+zPTteeJQJYXpHmBbRsEUUbfS+kMQn52Neav/+p5KZKsu1LU0PbRNZV37nRYapaouCa3tgdcOtmgUpKObFfvdBFCkrZ7wxhVUxkFCY6lk+U5b95oc2qphqHLwkhBuuwAHPRCaiWLJI3Yanm4ls61jR6LMyVm6w5+lPFXfvksYZxN1oKHEX+qJXPiHFotW1K8MY4kXZkrc/VulywvUBVBEiToqiSPzlRt9ro++92AvCi4vT1kvuGw1/EZ+NJtszeMubs74NTSezdNH4e80Thy3pi6ynPnFifnZd+L+N3v3ybPBXGS8bvfv81/92sX8cMUx9I/UIzhWDqOpfP2rfZ77hemmOJxkKQFIz/h3Y0eQggqJZP9TsBf/zPn+Ff/6QoIQQFEqcCxBJqm4dgGUZrjBTGHfVgBxCmYZkHZNVEUldUFl72OQj9MMb2YyhGShKGrVEvyu66qCjNVm+4wolG1qZVNTENG8FZck1EgnRA/LULg73z/BtfX+wB0hwfMNxx+9atrn8pzfxz4uN1Lp/hy4f46VlFgfsZlfsadEIEAfvz2Nr2RTKk7kkiOYKK1nPw89m4gCDNMQ2foyYFCxdGxbQNTV1mYKdGo2oRxNkncAllvTwUcU0zxyeKdO11ubPYBSToouya/9MIyIE0SDh2sB550sDwkGBhH+mclWzo5HyZlbO57k33qfseHQ+frJMcLU5KkmDyfV01xbJ04yXmt3ZrsmXdaPrqmSAK2Ap1RykJDJjm9cbPDuZXGRADdqFr0hnIgsDJfJs0KVublHmNhpjxxw9vcH03SRUdBAooyGUhmRTGpXzb25dAVIR2xf/jmDr8+TiPww5SSbUwe8/bOgOHYtfmnb++x3wvQNZXuIOLt222KsR71+69vYxs6mq7SHcb8++/f5Lf+3FMAXLnTmQhR+qOYmZrFbM2dvLbD3oFlaNTLNtpY4LEw4xCnBWsLTMxwPk70R/EkldMPU7Sx2P+9oKrKIzttT/HZwjQ0FpslNvaGMmmr5uCHKa1+iKYpoIAX5nhhiKoorO8N8aOEvpdMxJUgE2c1VWXgJ4z8lPZYEH5utTF2X4x453YHP8rIMkGY5Kzvjai4Jratc32jz4W1Bq5tSAGokARpUQiitCBOUwwj5o9e3ebEbIm8EGwOQr7x9AKa6jJusWGaGmdX6rxzp017EMq+BYJqyXwkQfNM1ZYCJCG/x42KNXmPPk0c9vKyrOB/+6ObXBn3YPqjCNsy+PO/cOpTPZ4ppvgiYKZmMxwnYh2KRe+fZRxiFCST1Go/TNFU5ViSL8DtrQFeIH93bb3LycUqxligqigw8GPSPKfi2oRxzmKzhGubOLYu+yjDiM0DX/Y5/IS9w367CvWyXIt0VUUAozClWXPRdZUfvL6DoatcudNF1xRsUyeIUi6fbvLjN3dYW6wwU5Vr+cp8maVmie+9ssnBeM8zGEnB6q9/7V5fY6/j8YPXduRaOor5/R/d5eLJmXHvVwrkDhM+kjRH11VavYAwzlmZrxBEKTc2IxxbpxDgB7LGs00dL0yZbzqTfuzjoOQYlFxjQrqZ/VSEdCa6rpKN3Ys/jeec4snF+p4UcZz6gqdwHOLUUpWfXdnn7li8MsUUD0Ozak/q6UbZOkZ2W2yWEEIw8lMqrkUhBKMgIYwyhCJFlzc2ewzH5myFkC71fpTimDphknFru0+1ZFJ2TeaqNn0/oSgKbFOjN0xIUkGc5WxtejiWjhCw3fYYjCJGQYppqPSGIdWyRRhnZLnAtjV2uwFrSzXWFh8Ub97aGqCpKpoq+RHVkuTpaKrCwn21b5oV3NzqS7OqrOCtW23WFuQ6URQDLp26Z+r4wzd2aPflNfrHb+3QrNmfqBHTne3BZD90a6tP6fzcMVHJFFN8Eii7JrN1Z/JdX50vY5s6i01JBx14MWGcYurSMCrLxTHBwPXNHk+fkuLBjf0Rr4zTM+Ik5/uv79KsyXrdD1NsQ5dOUkL2xtYWKw+d59ccHT9OEUgehRDghRmmoZFkBW/fahEnBSXb4O7uiNWF0UOTt16+uscPXtsFZIrH//Sfr7IwTgDuDiNubElTF4CtAw9NUyaJn7d3Bvy6ujrpO1y50+FnV/Ym9+2NItyxkWUQZqwtVCY9V9tQ2R33HgHu7A75c6bGoi0f6+1bLSnCMDWCMGWvG3D+SLrwra0BfijTM25u9nnhwtyxGuno5/ReuF/YcdToRoNH7qXM1hy2DmQqqm1pXwpx7BSfHBYaDpWyKfuaPJl7dde4J+AAybl40gUcAINh+FkfwmPj//Of3qE9iFAUhXc3B/yXl+7w5755+rM+rM8EUxHHE47DSEKQzb13N/o4loaqKHQGISgKd3YHzNYc1AmBWaFattB1hTQrGHiyeTkcxYgCVhbKxGmOOMIGCeKMiqbS6odUXYtm1cKPUuYaDkGUcPVOjxzBXssnyXJKlka1bDNTNWlWbYQQNGsupq4CgrMrNeoVe6KifxwkSc5//OFtdtoe8zMuf+WXz7FxMOTNmx1MXeWbzywyW3/0QebQT9hpeeSFYLbukOUFhq5iGRpPn20y9BIcS/tAJ7EpvrxoD0J+9/u3CeKUZ8/O8isvrjz2Y+x3A376zi79Ucz8jMvaQhUvTFDG3rpCyKbE4aa+MwjZOvDQNRUvSFjfG5BkBYYhHSccS6coBAszLiXHoDuM8P2Et2+18KIUFYUwzuh7Ee2+yShMEQJubvZY3x0SpQVivAh0BhE7LY/VhQrLs2WaNRvXNtjaH/KTd3Zp9UNUAQoq9bKBqkg1988/vcDaUo0wyej2I5I0R1EVLENjv+vjRylBFOOHKUlWoCkKXiAdAEQhYwBrZYtGVSrgNVVhabZEURS8fdvEMqXTYKsXMlt3WJwpEcQpi80Sux2P29sDDnoBcw2H7daIM8t1Tp+ofiiipRCC9b0Rg1FMyTE4vVybEDvSLOfW9oA4li6hJ+bKD9zftQ2eOdNkFKSUHP19j6HkGDx9pon3CLed4vMDBYFlanh+AkLQGwVcW+9Sdgxee3ef2YbLycUqSSoZ2Hle0B1EbOyNJqKId+92WVmocGZZRsaVXYPeMKLkGCRJjkDQ6ob89J09HEtndb6CoaskaU4uYL7uEKYZ1ZJJyTVQEPhhynbLI4hS4vQwXjlFVaX7d28Uo2vqRMiw15HCC1PXOL1cxTZ1GlWL9d0RS7MuqwsVFBSKouDd9Z4cPo4FVY2yjRdm1Ks2Zceg3Q/ZbfsyrWMY06iYRHFO30vG75jgjestBmMSFgJu7w7Ybnm4lsFf+uUzDx3kre8N6Q9jGCd8qAosz5XQNe2B82YwiifNlkIcdylK0pzuIOT3fnibkZ/w1OkZ/szXT77ncyZHImNlczifijimeGy4ts6J2RK3twcYuooXpOwPfP7v/2RPiv2O7L9NTSMvCrrDkCQVx4jaIPukZcegXjEp2QbLcxXCOKPdj0hzweJMiadOzxDFOfWKeez7enalxsxI7tEPnV8UReHiyQa9UYQQMnnmjestqmWTU0vVB/btR/cip09U8cOUl97eJS8Ez52be2RXq6GfHvu5N0weuM31jR5v3+5g6Sq/8NyJBxqXU0zxRUAUZ7x1q8N2a4QYD08PHV7fud2l1Q8n5OSHQVVA1RQ0VcEwNGYqFt1RRNU1qZZdFmZcdE3l5GIF1zYYePExFcjhXmGKKab4aCiKgpfe3mOv7dOo2vziC8vjfhiM/Jj1vSFhlOLYBlVX5+ZmHxSYq9lcvdtjFCZUHIOFpottyhq7VrG4eHKGMMqolk10VaE3TtTYaXvc2u6TpAUlW8c0NNqDPq5lYFsaCpDmOTNVh4VZF8eUt3nl2j57HV+6ytVdvvbUPL1hzGzD4eqdDgc96cxZLVlEWYE5boudW6nTHUrCSL1scW29S7sfMT/jEqeS8KEoCkcbi6qi4Lo63UEk0/1MjfXdEUmaE8QZRQF+KGsT+z7DlyTNJyKO5Mg6FSY52y2PMMowDZU0LWhULAoBYZySFQUa8n0/JFEADL2Yjb0RfpTiWhonF1Y4uyL3LbWyxc2tPn6QUi2bREnKD9/YRtdUfuMXTgEZ/VHM8lwJ2/p42+rJfWtwPE0E/sJgc3/E27c6DPyY7iCi78VESUaRF5QcSQ5WUBj5MVGSsrk/5NrdHvMzLiqg6yr9UcRW2ycIM1xbl4YQY9F2py/35YfJcFGcEyYpSZKT5jluYlApm8RJTrNm40UpiiImIu8iF6iqoFK2yMdGMHGSkeeCIMx45tws+52AoZ+w1qhgGhp5LphvuCTpYV18vFbI8oLb2wPCKGOmZrO6UKEoCq7c7rC+P8SxDH71xeXPvOeVZAVhkk6Wq6wQeMHH51qXF4I7OwP8IKVWsTi5WPlQ85AppngSMN9wcSydKM6plc3JHGOn7fH2rTZvXm9j2Rpfu7TIuZXj/YL76xA/THl3o0uc5tRKJkUhJnM7TVW5dKrByE9QUfCjFNNQKDsmQgjubA/Ya3skaYGqKlRKJu1+iB8mRLFMCyvbBlXXJEpzihjyVLAyVwIFbm4NANhtjwhCmQo+U7PpjSL6wxhFVaiVLTRVJU5z8rGhTFFIg59RAK9c3efmZp/OIGJptkS1ZEgnYkUStaIkZ22hQpTkaKrC7e0B3WHEidkycw2HZ840uXJH3tbQVNb3hnhhwvy4ngOVP/tzaxx0I0xToexYD50jFEXBn7y1y0FHGvD94vP39qW6pnL5dJOBF0+M7T5pmIZGo2KxsTei9ogCwCm+vDgUM5xc/HK4sR6K2e7sDD7jI5nis8IbN1rc2h7gWjrfev7hKXdnlmvUx2tpGGfc2upz+kRtwgVSFAVDlyJIL0hYnquw2/UoWQauY7B7w6MziKWwg7FJTCFr0lYvZGW+zIsXFlAUyTM46AVs7XsoioIXxHz3lQ1GvkwQna+XpFFEnBHEOUIIFBQcSyPLcpIx52h736c/ijm7Un9AwAGMuUmCg34onbBtnYsnJTcgyQp+9MY2vUHEfNPlhfOz0jQRyPKc9Mjs7v46OoiPu88HUfqJXnuO7mmEgDTNpyKOKT4VnF+ps7U/QtNULqzWj/1OIL/7nUFEvWJxf0m63w14d71HXhRUHIOiEIRxKlNyk+Pf34prUiuZbLd8zi5XabyPUWKOwnPnZmn1wskeMI5TDvrSjFK5L63vzu6AP/zJOlGW842nFjm/Vmdzf4SqKGyOBeCHOBRGHCJNJdcvzwssU2P7wGOvE1CIglOLNa5udLm9PcLUVUxdIYgykjRD01RsQ6PIBX0vZq7uUC/LdJ8wzliYkek+g0L2FS1DIyvAHC9jWS6YaziT3sj91X5y35pwY7PP9Y0emqrwjaeXeOtmi2t3u1RKJr/5rTPMHOFFJGnO7Z0xB2nG4cTsgxykR8VMVaYxRXHGynz5geTf/W7AXsc/xg+ZYoqHwTR11hYqvHptn7JrPJEiju12cOxnAbR7AbONJ9s0abf75Ik4Wj2fdj+QvRVNo/UEvoaPC0808+xv/+2/zW/+5m/yl//yX+a3fuu3uHr16kNvG8cxv/Ebv8Ff+2t/7VM8wk8e37i8gDVuEGZ5waWTdZI0Y+DHJGmBgiBNC4Z+wvmVGtrYOca1dJoVEy/MKIRM6IjTAi9MubU1YGX++AbA0jWCKMPSVYI4pdWPaFTlZuTaeo80L9jeH7HV9vDDjFEkHfezYvx8tkkYZ5Rdk7OrjQfizx4HP35nlxtbffwo487OkO+8vM5P3t4jCFP6o5gfvbH7WI8XJRlRkpNm8n06ul+xDI25hjMVcEzxvvhPP7pNqxfgBykvvbXL5v7ju6T86PVt2v2QnbbPGzdadIbhsaZDxZXCDJCigdvbA+Ikxw9T1neH5AW4lkGRg23pMnlCU5mtSwFXnOS4jkEQ5SzUXbIsJ4gyqmWLLBf4YYZ/pHiDgqIQaOOhxKHbxdBPJsOA9b0h2y2PKM4J0hzb0rAsDdPUuHSyyYn5Cl6QkqQFAz9h4CcEUcYr1w4QAmxDo9WNJq5LeSEwNI0TcyUMQx27i5q8eGH+WENneV6S3OMkww9TTsyV8IKU7ihiruHihQmb+x53d0e0ehE3N/tcudtlv+tLp+EPgVY/5KAbEKc53aEUtRxifW/E0EuI05ytA0+S4d4DtqUz13AeaUDtPMZtp/h8IC8gTQt0XSMvBGkm8AKZxpEXglYvHIuKXBRFft9bY0eMzQOPzYMRQZxxfaNHGGc8d3YO29SxLZ0CQcmRAz4/TikEtPsReVFIx+6Gy5kTVWxbp+KYY1GTS9m1sEwdXdewdG2SfnV2pQ4wWSMOBRxBlLKxNyJOckZBwt3dIQMv5mCc2pVlgoGX0PciNvY9VFU2bMMoBaHQ9yPKJZ0gytjr+OSF3FcgQCDkeW9paIpsZPaGMYaucXdnyPWNHpv7I3785i79YUSrF/Bf/uTOe77XnUHIfkeej1fudNjeHxHFOdstn5mq9cB5szxXYmlWFlyGrk6GPoYuxSv/5aV19joBfpTx8tUDbm723vN552fuNU4OxXJTTPG4mG+4lEsmawsVFOS5sHsQSHL2fSoNVVUJk/w9BRwApqGQFwLL0Jituzi2dNGxLEmMDOKUimsy13AecL9UFJnG0Twm9JZuuM2aMzlH4/Hg5tBF+xD370VubQ34wRs7DLwEL0j58Vs7x+J53w/ffGZx4tZhmRpfv7xw7PfDIOGnV+RevzeK+dGbO4/0uFNM8aThzs6Qm5s92v2QN262JwTjV989YOQnx0wW3heHtxPShVtTFdK8YLftkWQFrm2weeBRFIKyK51qD7HwhDcop5ji84J3N3rc3h4QxBnbLY83rh9MfpfnBaMgIckEIz/hnTs9RkHCyE/4wZs7dIYRcZLTHcagKBP3y/mGS9kxmGs4WIY22cvXyhZhJBP20qygPQjZbo0oCvDClO0DDwHomkaUZJQdSZZzbB0UhTCWhIeDXkCc5JI0rijEqeyTZbmkdLhH9r6KIvcLzXEirx9mOJZOfxTxyrUDSSCPMoZ+MhkMC2DgJdimjqoobOwO8aOUNCvIs5w4yQCFLBdSsDG+n21pVI8MdY86ztm2ThAmJFmBF2XM1h0MQ9Y9F9bqVEqyLlAV+MYzS/c+g0I6kaZZgRdmZKI49nq6g4g4zdnYH/Iff3iHNCsI44z/9Ts3iJMcx9LpDmNpnvMxolG1JqLbwzpviicfvWHEbtvHsaVga6/jM/IlkTiIMuK0QFU1BAoFgoNeSJIWFELIfp+QPfu9TkCaFqSZTPYrCumeWRQF7270MHSNkmOO6+8CU9cQSAOCJMsJxkmUe90APzzsK4QEcSZ7fppGHCW8cGGOLBf0vJhKyaBaMnnnVoc0K3AsnVYvZODFnF2uY1uSMHzYhzyKrQOP/kjWE7ttn94w4ubWgFvbA7Lx+ndtnEr0WcK1dc6t1HEsWS/VyxYXTs58wL0eHTstb7KmHHSDSR9oiim+qDjsQZhjsuIoSFjfGfLS23sc9EMOOgE/enObMM7uERrf45p3c6uPbeqkaUG7H9KoWBOR5/yM7JnXqxZpXmAaGpqqMvRjDnpyphKnBUlWoCpQcnRmqhZRko+TvaU4QtdVgkgmfdi2zrsbfYRQMDSNkZ8w9BPyQiAQdPohQZThOjrWOOVLVRU5e1EUdE2buP36YcbAS7hyt0t7EHFjs8+76z0cW/aM4zTnKxfncGyDWtli4CVo4/nNnd0BcZpjGhrnVxuUHINWP0QAawsV+qOYIE6plU3qFZuLpxqcPlF/3znCtfUed3eGcl96IAU1R2Ho9/aUnwYGXkyrJ3vNSVZMUsimmOK9cJjY8zBX7i8aDglwd3dH5Pc3iqf4wmO/G/DWzTZBKFP3Xnp776G3VRRp1Hr4X2cQsdfxJ78PooyfXdln6MuEv59d20NTVPpezJXbHeK0IM9lMsfRb1ouZLKFqqiszJdZma/w9JlZLNOgXrEpOzp3dyUvIE5zBl6KQKBrKqYhDdY0TcEy5d8Pry1ekJDmOaqi8PLVfdZ3H5zVL8y4kkswijFNDS9I2W3LWfzbt9psH3gEccbdnSEbe6NJn8AydZaOmCven1h5/ohwtFGxmHsMI9gPg6OpISVnmuA9xaeDJCv46dU9bEvH0FV++OZxvlynH9IfJSiKwshPJwlyh9jcG+GHKVGc0+4HyImkQiGg6pqYxr1eVasfMPASyo7Bfjfk3Y33nqmDnDXMN0osz1WYq7s0KjadUSyPI0ywTH3SN7RMjbdvtekMI/wg5Y9e2eDVdw8mvZOZuk157JKvKPALzy6ij+eKuqbwreeWsEwN1zaolCz8MJWp5gVstTxevdqa8Am3Wj6FkL/LMin8Hgby/emOYq7dlUmdtqlP1lZNlcZZuq5iaPdmqqdP1HAt40hv5LhY/eiaYJkqr17bxwukede//94NXrl2gB9l7HUC/uAnG8fuu743vMdB2vdkyvGHxN3dIYxf09aBNP88RBBJvtlRfsgUU7wf2v2Aa3e7uLZBUcBLbz8eR/fzgJL7YP37pAs4AE7OPXnc5igpyDIhBcVZTiY+wM3wC4xPhX32T/7JP3nk2yqKwt/5O3/nkW77j//xP6ZalQXtt7/9bf7e3/t7/M7v/M573vYf/aN/xAsvvMC1a9ce+VieBJxcqvF3/rvneetmmzQrqJVtkjQnyXLyHAxDY3mujDuOEB76Mbttn5MLVeo1E0ODZBwrViATBTQVlpoutiVd7EQhhQ4C8KMUTdUINelypyoK/VFMfxTT6odkaUFmSAf//Z6HYxpYhsrSbImlWekGXHFNoiTj5mafMM4IopSSY1Irm5xdrk+IZL1hxJ3dIQpw6kR14hIchOlk2CqdyI4TWuLs8Zzq6mUbVVUoCjm4yb+868EUHxJRfPw7NwrSh9zy4YizfOKsK4R0rCtZBrkQ7HcCelbM7Z0+tbJFrWSR5+Ie6VJRQIGlWRfL0Pn604s8NY4KnanaXN/s8f3XNvHCDNfS+Ru/foFnz8+yvjNE15SxKz6UbIM0F9RLhiQljCIunWqwMluh7Jpjh42Et262SbKc/U5ErWwRJzlRnFGyNRYaNpahYhgq2y2fZs0mH4s0UMbk667PYrPEKEzJCyg7JrkopEP+uFD62lPz2IbO9fUe/+o/XaHimpxdqU+aMiM/odUPQCisLcjjQ8jB9K2tAV6YMvBi4iQjzTRqZSbNLJCD6o29EYe0WCHkoNaxZTFm6Cpnl+sTt8/svoXh8Oc8L7i11afTj3Ad6YR4/22n+HJA01QMXSUKEkAQxhkHvQDX1vnea1s0qw5zdYdqyWKv7bNx4BFFKWEkCVuark2IHWGcMT/joCgQhBmri2UaJZleZZkac3UHP8oYBgmNqo1r6xi6xl/8xdO0+iEzVZuRn7DT9ggiWXBXLi9QKpk0KzbvbvT5139wjbJjsNgsYRoaZ1fqE8dNkE3VV9/dxzQ0Wr0QVVXQNYXVhQqqouKFKWXHoOxa6KpCxTUY+DE3NgbUyxazdRtD1zi5VJHun1nOz67uUwhoVixQpBOPpipERUGRiwnhuyikW87bt7r8mz98l4trDV68OI8XJNwaJ+wUhWy45oUUosr7CQohuN/TRtd1/s//7fO8fOUAx9G5sDYzIbAZunosmWN9Z8B//29fZ77h8r/7c5c4uXSv2bIyX6E+Fr5VS+bUPXOKD4VG1ebZs7PMNxxeubLP7d0hWSZJkqrKMZf9gReTv8+8Ls0EcZKxuefRGyXkRZ3za3VMXZIHys6jFeppVnBzs48fpTQqFmeWa5Pr5eQ2D1wHxbH9d5oVDzjKxEn+SG4tT5+Z5c9/M+Lu7ojLZ5qoCrxybR9T1zi7UiNJsuNJAY8oDpliiicBcZpP6uLuMCQXkljcG0ZkuSRLjvwEgUBTIPuAGb5MnBJYpqBetVCR9bOhK4BGFGfc3RuSZQWzdZtTSzUun24y9GNMXZvsfZ9EREnGmzfbrO8MqZRMvnJpfkqAnuIzw/3Oj0d/Ngyd2arDKExwbAPPj7lypwPI0r5RkS75hYC72wPWd4c0KjaLTYcrdzoEUUazZmMZGrvj2tV1DM4uS1OXMMnY3B8RehG6rmLqGrWySZJmzDVK2NY9oWetZLDbKkhzQcXVJ06WIE0iOoOIoiioV6pc3+gRRBll12C2ZrO573HYTXzt+j5DP6XiGuR5wW4nQFEULp2sE0RyALwyX+HcESdAgRyABlGKZeo8dapBEOfYpoYQgv/h371JkmScXanx3P/xFyf3W2yWqLgmSZZT6QQcdGbwwgTL0Dl9osrpEzXCKOPCWoNhEHF9o8/yXPnYvt4yNc6v1PBj2SNxrHtrXxRnbB2MCOMcgRSxmONfh/d9rtn7bdTeBxt7Q1r9EMvQOLdan+yXDF3jmbOzeKEUu0xF418MpFnOTttjY39EbxjjWBrVsklvEOFHGUUhsA2NJC+I44w8z8nygjhJGQUZAy/GC+TQXlcVDEMlTTO6wxhNgUZN1qi3tvt0hyFDL8G2VGolh5KrE4QpfpiRFSl3dvv0RwlhkkkCdNlgrm5LN8wkZ7FZ4te+scbm/oird7o0azaqqhIlGXaicfVuj439IQtvl3j+wiwrc2WiJOP583PMNe459Gqqcn8wx0QMdRTJ5yRt5k9/dZWzy3Xa/ZC1xeoxksVHxcP6iVNM8WWAEILbW31ubPUZeDGqIolgeS7IMsHTZ5uMggTL0B4gON7ZGfLKtT3StODMSo2/+qdWSbMCTVOojA3XmjWH1YWyNLeydQZewo/e2OYnV/Zkgodr4ocJvbdjKq7B2kKZzjDBD2Lu7g746sU5mRRmaaiaKgVyQlB2dNrDe/MMTVFRNWhWLS6eaqCpkph6arE2McCJ8xxnnLBRL8vkkJGXkBYFYZSSjxPTzy5XuXRqhr/4rbNESUYYZRwNL+sNY16+uocfpLi2Qck1MA2VoS+IEik6PbVU5eTi8bTUo3XlXN05RniP7ltro/iz7ak80G96zHnuFF8eCCEmJMIn0d33w+DEXBnT0EjSnL2Oz/Lch3fcnuLJQxgf5xZ8UA88TnJev96i3Q8ohOCFC/M4lk6japOkGV4oRRD73YAkzYniHMtQiOICy9Aouw6FH5GOm42Kguw9FgWtvs+trT6iKPj3f3wTL0xpVh2eOzdLpWRIMrOmkiQZQkhh+YsX59BUhZ22jxckVEomg1GMZaqMAkE2Fll6QcLr1w9oj9OqDp3lVVXhznaf7jBmdaHM1fUO//Y71wEpODy/WsPQZY0cpQUvnG8y9BN0TcG1Dfl3XaV8X2/z2XNzzM+UiOKMpbkyuv7JehwvNkuUXZMsK6iWzGMGWlNM8Ukhy2SS5iHuT3oVSNF0kuUYuvZAWkSWC7qDCIGgWbWpOgb9kTynmjWbsmOwNfKoliyStODWttx3lh2DZsPme69sEcYZz5yd5euXF7i7M0QAp5eqPHt2lndutym7JpoGf/JWyNCLcW2Dy6ebCKRoe2m2wa3NHtttn6KAimsQxRmV8ZzTtQz+n/+Hr/HTawcszLg8d36e7iBk82DE8nyF2ZrDpUHIKEhYbJa4vd3HMFSEkP3Hd2612e+HaKrCmRMV4jhjpx3gOtKUolIySbMC01Bp9SN+dvWAJC1YW6ywOl+Z1PJr8xUKIddLkIm+f/GXTrHflfyM+4XRJ+bKVEsmWS5QFfjJ23sM/GSSmqwq99ak4L59enbfMCjLHr2fkOVy7uuFKfWK9UDy4dGe5oP782nf4pNEUQhu7wzoj2LKrsG5hyRUfZ4RxTkjP8ELU1RVmRijPEkY+dED/7bTHnFi9slOAAzSJ2+eIFQmfC8AkX15eSCfmYhDURTEe1hJPo6I41DAATAajR5Kpnv55Ze5e/cuf+tv/a2PLOIQQhAEwQff8GNAUYhjG/vD9+vo68yygqqj8vNPz3F9s48fppRslTnbmlxcdbWgZCv84NV1Or0QQ1PYbXsohY6iKFLdKg6fA/IcOv2AvFClWzigFIxFHBm2CXOORacf0KhYpJkcKCmKbLilqUKeFVi6gR8l9EchtZKOKExUkRIEGTe3Bgy8hFYvYOCnLDVdwtBAJWOpWaIoBFdutydEtiu3Il4430RRFOplmTyS5zkqgpMLDgM/Ya8jFcMXVyuP9Rk1yip+UKCpULIgjkJE/uRdZKb47PDVp+b5zs82EQJm6w7nluuP/RhPnZrhrZttDE2hXpFO8lGcgyIdq3baHo4lHe5NXSPLc3RUVFWl4hp0h/lk4HFitgTINeTW9oBrd7v0vRQQBEnGt3+6wf/r//QtHFOn3Q8Ik5xzy3WSNEfVVPY6HkLA6aUaKpLgXCnJdSeK08kaVC0bOKZ0plIUGdvtBdIBNM/Bd1NQYKakI0TGKEiJ0pwTcyW6g5gkzblwss71jT5+VGBoKrMVm+0Dn9X5Km/datP3EpI0Y7cdgIBaxZRklp0BCKmsv3q3yy+9sEwUZ4gC5us21ze6lFydNC9kQoipUiubnJiVjZrb4/u3+iEjP+HMco3djk8QpTQqNnmec2dnwDNnZxFCMFtz2Gl7FDlomjIZ6O60fQxdo0CmLkSVnHrZemD9nuKLDyHkNVnXVEn0UeR1e+gn5HlB34tp9QN22x4DP8HWVQZBKgWRqkqeF2SFTMCplAx+emUPIWBx1uXW1gC9pnJitoyhKxSiwDE1FhouSVqwdeBxaqlK2TVxbQNVlY69MzWba3d7Y5GHylOnZ3j12gGdQUia5WzsjcjyguW5Cne2B5xfqVNxTYZ+zPXNHqqi4Icpm3sj5mYckkQ2d54/N8fG/ghdFcw3HFxLJxvvE1RFkijzvGBhpiSfK8m4vtGnUjKlEGNnyNcuzTMcC94aVZssKyg7Os2aLYWg3ZDluRJZVvDO7Q4r82V2Oz5xklOyDTb3R9KJuO5MEskWmqVJ2sD9eyZd1/m5Z5cmPx8lRH3tqXn+64/vctAP8aKMeddk4CX8u+/d5P/yN74yFnrKc7rsmhRF8Vjn90dZD+RzPTmF+3TteziOfidtU6Pdj6hWTJQ9qJdNgjjgfmOBD6IFFgKCOGfgyWaqH2ZoqkqzKlNjDvcD2Vj4/DDstKSDixCCziCiWrKYbzgySSgXE1fGo5ADIYveUKZPnZgroarw9i1JQl2eLz+yi+N2y8O2TC6dahJEGe/c6VIvW4R5xt3dIZdONlhsuux15P7+qdPNR3rcKb74eK/6+EnD5r50uRJCSAdXVSFKckxdI06lUNo05d4/zwp0VaEQ4oHknqMQyLUhSQrqTZv+KCaMc5ZmbaI4JcsFjarDQTekWXOouObEMOHjwgddDz6J68XG3og72wPSrCDuh7xzu0P9OWviAjzFFJ8mzq3UubXVJ4xzdF3l0qnG5Hf1somiKbiWjqoq5EJMhnKWoYEinZgLIR35S7ZOyTL4g5c2eO78HIUQbB14JGlOydbJc4Fr65QcHUMTVEsGO+0AQYYQktRoaCoqGnlWkCQZjmWQ54J2L0JRVExdUBTg2HK/oKoKfpTKAZKqcHt7yNJMCWVct9zdGTJTlevGuxs9Bl5CmuT0s4K9rj8573781p4UgasqO22fsmNwYq4se3sVm52Wj6lrmLrKfMMljHMUVeF7r2yMzTIENzYH/O73b/EXv3Vmsm6UHAMr03BOSOMHVVUwdJVLJ2dYWbg3aJk1S8xU3QfWm/OrDe7sDDFNHVPXuLjWmFxT8kIQJTl5IZMMludK9EZyv/P1ywuT2sAytcl78Kgoxgkgh3uaIM/Y2BtxYe3e98PQ1Y99TZ7is4VAGomEUUa5ZMjeeZYTpjm2qZJmKmGSIsYJlpqmEsUpaZZhGlJMpakKJUcSk/KswNA1DENjv+tzZ3tExVa5uSkTNnRNQQiFNMuxDJVWkGKaGkLAnZ0RFUcnSQsgpVmxEEImAJZdacK0deBxcrEq0ziGcqB5+VST12+0uLM7QBGC3jDgh2/s8MsvLlMtWQz8BMfUJ86OWQ55UaCNa1nL1JipSQOKGxtdgli6zF882Tj2Xj3K/uCT2EOoqsrpEzVOn6h98I0fEwszLt1hRJ4LTENltuZ88J2mmOJD4uOojz6of/A46AxCgnGC1UzVptUPqZVMVhfKLM666NrDr3nv3u0QJ7JJsrXvkeeCWvmeUYUQgopjUHEt0izHMDR2WiNubQ9IxkZOe50Ax5LJpVGck8Q5YZSAomDoGpstj6XZMkUh5y9Pn2miqSoHvQAVFcfUCcd7soWGJGSGUU6jZnBupcHm/gjPj8mygo3dESjKxIlU0RQ0XWE4zMYiPJWRn7LXDfjf/8bTgHTBtU2dk4tVbu8MyHNBEKdoqnRjN02NtYUKAy9BUSURK0oyVheqZFmBYWiTNfGwrgR532r5Xo13blXuS+NE7ktPr3y2ZPh6xcKxpImRqiosNkuf6fFM8flFZxDhj4lhK/NfDjGDpiqcXKxwY7PPnZ3BVMTxJcOJuQqNikVvJDk3F069/175oBcw8CL6XowCtHoBNzb7fP3yAiXHQFWUSWKnAHrDgIWZEiXXQI/BDxNUVcXQC0n+ViDNwUJeJ3/4xhbNutzLppmc4W8djLh0ssFeJyQvIvJMwbFkSkdnEHFiVpouaKqCH2YyZTwpsAxZB0VJTpwWVMYih619j3pZciJeemsH2zTQtYS3b3cQCIZejKqrOIbOre0hl07OYJnSDEFVJZ/iEEf/fj8+TpH2o+B+IckUU3zScG2TU0tV7uzIlJv7a+0Law3u7A5RY7AMfdKHOlxXwrGhc1EUDMOUzigZp28o3N4Z0B3GmLpClhccdH2iOKcoBGGU8drVFpome2WvXdsnS/OJm/2VOx00TaVWMjEMnevrXZkAMeYSvH2rzcp8hYprsdsOiCeJwHL+uTxbIhn3TE/MlanVXH71q2uTemWm5mBqGuXyPZF3c1xzv3B+jleuyWTketng5taALMspVJWbWwN0XUPVpGBh42DI06dn0bUCx9LY2B9JQYWAzb0hrqVNTPOiNEdVjtdNrm1y+sRxU72ja3Z5LELP8jGPZCxiXjtRxfdTeqMYVZF8haNYnHXxNpNJf7f6CDPXw+fdbnkMfWnk2x1EVEumFHIIZOrzkXWq4ppUXJOBF6Fq6mS2/Eniy8wnaPdDugPZbxt6CTstj7XFJ0uwfGiskBcFAoVK6dNJdfw4USk92It4n63EEwNLe/JMEjrde+lQCrDXjT+7g/mM8amIOH784x8f+znPc771rW/xL//lv+TixYsf6bH/7t/9u/zkJz8B4F/8i3/xwO+DIOAf/IN/wD/7Z/+Mu3fvfqTnAkjTlKtXr37kx3k/CCHY7aWMghxDV1iZNYkSwV5PXmTn6wampvL6HY8oEdTLOs+fdqQgIxUslxXyQqCMF5gihnigsrE5ZLcVEccpvVDwOlKwUXag70vipRwYgUziKjjUd4xrN7I0o9ByWh25kWvZGmFc0PNkgzCKochzcgHtXo4QoJOg5AGdTpud7W0WGybb7ZirWyGjQEa/LzUMChTmqjpzdYMTDYP1gyNxYAoE/W1+dMWj52dkWU7N1dAUldfeucNc3WChpFKyVdR4n6tX9x/rPdfSgvYg4Q9fCkhSwWJd55ee+fgHN1N8MfHVS4uszlcZBQmr8xVM8/GJQrWyRZYXlF2TS6dn0FWF2y1POliMiVpCwGAU84O9bdm8VBRyUZCkGX6QMVOzWV24t8GTxZYgSXIUoBgPcuJUunO8dbOFF6bM1Gy+8tQ8szWHn17Z48Zml1GQTpzmF2ZcVhZK/E+/f42N/RElS+ebTy8winL6Xkx/GJJkOXGSY5nSBVQgEEIWa7e2BggBJ5cqXDzZRNcUqqWYSsng8qkmL56f449e3cQ2NfyoQIkysrwgyYvx48hX0+qHDPyYPBds7HkT99Czy1WePdvkzZsdWv2Q3iiibJs0qyorcxVEUbCyUCEIM773yiZRUhAnGc+fnx07hBymcYhjDuhemPLqtQOyomD7QBJcNU3hT391beIOJt25DE4v1cjynNMnqtzZHdIdRFimJIPYU/fMLwUUQFUhjbJxmo5AiBxVVaWoUuRcX+8RZzkH3VDGcyKJWrahEcQZSZLTrNroqjJxU9BUlXMrNZ49NztuZO7R86Sbg6qqeGHCXtdnvxuQ55LMkWY5uqaOBxwVKq6M8NQ1lSDO2O8GxElOEKekmaAzCPnJO3s4lk6tZHLxZJ0sF7iWRpTkuI5OvSzdNXRNQVMFB12P22HKTNXmv/nmGkGU8V9e2uDNW21sU8MwVNqDmDTNCMZJHP1RRBhnZLmQ1/6my7m1BsuzJVRVIUlzXrywwHbb46dXdsmP1BhJVkxcRHRN5eRilTMrNfrDmJfe3qEQTArEg17A+u4QRVE4faJKs+aw2/bZPBihKgpnV2rHhsQzVRuhQBilaJoi19a84KAb8PLVPZK0wDQ0hn4sCVcKPH26yYsXjzdT7keS5ry70SOMMqplk/OrDelI+gjYbXv84LUdkjznwlqDb1xefPQv42eANCu4vtHDD+W6fGGtjvaEuUZ8kjjoBqzv3ftONio2fS/i7s6Q3bbPKIgJw/QB0cb7kbQPkaYFd/eG7PV89joBf/VXzvL0mSbq2Nn6f/vudcI4Z22xwi+/uPKejxElUiwhyaAGKwtlXNvhuXNzREmGM14/7sf51QZemKKpCo6ls9gscXKxSpIVjzUYOer6LcQ94glIIqWqqvzpr63S6kdYhkp9Smycgvde659EhHHGnR0pPKi4Jl+/vECzajP0Y25tD4nijM3WiCDKyQu593yUK0meSyGpY+mEUcahIfZuNyBJisnQoXiUheYxkOUF767L60HZNbi41jh2PRBCcHt7QGcQYRoqF9YaD7juflgU47pp8lyF+Nhf3xRTPCrKrslvfusMnWFErSyJy4ewTJ0Ts6WJ2xZCEI5rdlPXUIQgTuTQMElzojSnGP/ucL0wdJX+KGLgJWiaSr1s8tI7e8RJxkKjhCIK/DDH0AUzVYvOKCJJcpaaCvvdkDSTCR66oVIrG2S5oFmzObcyIwUSpsZbN1v0R4ICgaEqfPeVrUka3+XTjYmAwQsS3rjRJkkzDF2jZGn0coGigHHf/kEosh9h6OpEVJ1mOSXX5PRimYN+RMk2QMjBMELWWFsHQ16+uo+hy9f6s2sHJGnOueUaF9carO8NqZWtY6LTohDc2JQCE8fWubjWmIhLamWL3/ylM/TGn48fprx8dX9CelVVhTQucEydP//zpyiEwDQ0lmbLpOPeh2Ppj7zf9cOU6xs90kyaTBzFdJ364kNRFBaaJYoCkjSjP5KCDdvUQGg4FmiqPJfCRBo7hHmBpoBpSEF1yTGoVSwaZZO8EAz8lKGf8ubNNq/f7IxFoBmGLvsAoyBl6EVomvy+FYXsPURpTqVsIhTZ85utu8zP2OO0Wp+X3t7l6t0uv/LVZXRVJUnlejPbcDh9osZbt9oEUUrPTyk7AlEUtPoxf/CTu6iKgm3pfOv5ZfJCkqcXGi6mqXHp1Ay6prLXCciRQrUzy7WJ6FsIwa2tAd3hw3tpUZLx7nqPOMmpVyzOr9afCCGvaxs8d26OeFxXTevkKT4p9IYRt7YHCCFYXag8NjG+KAr++LVttg88XEvnV7+2SuMxxYqH6I/icTqQFDCtLlSYbzhoGqzOVzkxV8H4AKGIYWjUyxYCga6pHPR8rm9K8wlDg//w/TvjRDKNX/nKMs+dm6MzkElgpqaSpzlJIUgzKXw4NK4oBKiKQpYLBl7Kzz1dpuSYdIcxQsDN7QFbLR9VgZmaTRilVEomT51uoihwe2eA2w34yVu7vH6jTRzLczstion7eckxqLgmjqljaCP2OgGqpoICJUs/Jkbxw5TtlkeWFZQcHUtXef1Gi3YvpFG1mas5WKbGaqNClkux/7/99nXW94cUecGLF+ZZHPdVj3+e9/YXVdfkN3/pDDc3e3znZ5v8q/94ldWFCn/j185PrhOfJnRN5fKZJmGUYhraVHQ/xUNxmMKxPHfPuOnLgFNLVW5s9rm7M+Rbzy9/1oczxacIU1f5b755iqt3O7x+o8VP3t6j04/4xuVFbm716Y9ibEvjwloD29QpcsEwSGj15Ix+FKYM/ATT0EhTOWcXQmAZGn0vxgsKvCBjoeGiqAqmKQ0fdFMjT1O6I5kc5YUZfjhCUWC/EyCQhrBZnuPYGhfXmsw3bAqkudRu22emaqOpKgM/5uqdDmkh0FWV2bpNnEjC8yHZueQY/PTKPgszLvMNl6KYAWAYpLR7oZzTj3sCcVZgALqjcG6lzp/5utyfPEr69xRTfNlwfq1BlGT0vZhhIDku51brE8L+hdU6ex2fhWYJXVd543qLOM1p1mxaPY87O30QgmbNQVMU4kLOIUQh+I8/uk2rF+KYGudWayiqIBmn6Q79mFY/pBiLrC+cnJkcU5YL/vjVDbZaHrqmsrpYpuwYhLHkFCGO98TmGw7zM+4kyWZloYJjGSiKrK2//9oWG3sjHEvj8ukZ/t+/8xZ9L6FWMvl//K2vszhzT/z4a984yaVTM+R5wShI+PHbe6AokvtYCPIxd0FVVZQC/tIvnWXgRTSrNv/jf7wia5GiQNNUKq456Tlaps6P39rl9s4A09D45ReWj9Ve79e7ODTy3G5JAUPdtfhv/9QFNg9G1CrWA6YPjYrNc+fnSNN8YuL5MBSFmFwrLFOTPacjqJUtTp2ojusO41g/RVUVuqOQ6+s9rLHI/JNCEMkeaZIWzI17TV825Pf1gu//+UmAoiqcmC+htMC2NBpPoPrhvZI4RjFUnuwgDvJPRwbwscIwNHRNEtZVdRxE8CXFp/LpNRrHlZ75mJVXqVQe+N3j4rd/+7cB+J3f+R1++7d/m3/+z//5A7//rd/6LRYWFj4WEYdhGJw7d+4jP06WS4HEezXue6OYUB1SH5vMlsomRZCwcnjtV2TkbblqUUYOOrTSLJdOPnx4kWUFg3yfneEmw0BQFBlV1yBKJUm0bBdkBcSJJJWKsaBDVeEw5VtVZeMySUEzNDRVIQdykaPrjF38ZaRxnoNQdHRdpVJ1MSyDRsNhcamKrqkYoYdbGpGR4AUJqlXCUBVmZqvMNhycsslXFnRafblwnphz+ZO39jFthbKS0h1EqKaFYxvMzlZZnC1RduXm88MqNv/Nt29i2xq2DUEOwl7k8ul7388sk87bh49fjEkhn3TsYlEI8kJ8YGN7ik8HDxNxzc+4zH8EJ4efXd2XTnq6xmvXWjx7bpbZus1u26coBEvNEmmasb4XkhU5wyAhjOWA1gtTzPGffS9iMIpwbR0FhfkZlwunGrx1q02Wq6gKLM+V2e/4HPRCxDgi/PXrB3zl/CwbeyMWZkoE4YDtts+z5xxOn6jynZe36AxCLFNjGCS8dEVGFfphSpwVMnkjSrEtC3M8YM6yhHfXu3IYoMim61MnZygEzNdszqzUiJKUatniuXNz3N0bEmXJuHmv8tUL87x+84BBIYUSZdfAMlX2OyFxmqEq0lkwywviOEfXmLgEVlwDL0ppVMwxSUxnY39Eqx8y33BJ84Kdls9C050Qampli/mGy9BPZApRVhAV0nnw2t0uCzMOqqLz1q0WS2MF+sKMO1FKy+PT2evI5nKc5GwejDi/+tGuc1M8GRBIsoWmaihKDqqCqilS3KGoE9GRlmR44YCSY6Jr0tVt6MfoyqHjrUyKObtc5+Vr+yRZzsp8mcunZ/jPf7KOpinMVB3a/ZDhbEx3GNOomOx3fUZ+OhESNcoWcw2XrYMRX70kHWOzvKBekkRJTVNwTB3b0njrZhtVkSKK2ztDSo7B6kKZuztDqiWTxWZZJm/lgpX5Mm/e7OAFKbZlEEQ5P3xjh7XFKsGYzN33EnbaPo6p0/diTi1VsW0dz09BQKVkYBraJG5U1VQoBHmRU3ZNzq7U0TSFP351mzTLOLVUZ7ZmYWgqd/eks+f8uMH73Zc3UVUVFXjt+gGnTlQnZHSAOztDyo5M7kgySY67sz2gfM4YC14KvvOzdUQBS02XW9tDwnHi0IuX5hn60il3bbHCW7c6qIp093nndoezq3WqrvnQ78Ru2yeMZNzf0Eto98NHJrb/9Mo+YZJSFHB9vceZE1Vm65+uW9DjYK/jTxz/RkHCfi+YxGB/2ZHnxeR7K4Tgzs6QmUs2eSZdauIkpzdIEIqCqry/u/79OHrbKM4J4oS7eyP+7NhB5Qevb+GPhWUbeyPWd4ecXHqw+VYIQT5WMaZFMSGIG7qKoT/8Ow6SDHZ0792o2mR5QZ4Xj0xQWmxKh+vD5mG9YhInBYrCxGlPVdWPxTErzXI0Vf3UHV6iRK4F0wHTx4O8EBOn58l5VbWfCCLf/Tis9UDGZ9fKNqeXYbvl40cZd3aH0nX7SPrGIy0TAqBgtz3CsU1sU+P6Zp9TS1WyTDb0L55sUHGNifjzUd+/NCsmDvX3n0tHrwdekLLfDThxxDmy78V0xnvnwzSxow70HwUnZstsH3jsduQe5OSJ6lRMPcVnCtPUWXqP/ZAYi7Fc20BTVVxbJxsPRlEgF4Jq2ZzsIw1d2quUHZ08L8gLQZFk9MeJf4UQ/OCNbcT4MbZb0gna0FRQZGrH3IwkPrUHCbVyhKYpCKFTtg3SrEBB4FgGtbKFpiloqkqtbLHX9iiAMMoYBTFZIfD8HD9KJ3uHnZZHOnaQy7KCUZFjmcbYJU7u+6NE9iCbtXtki+0DaVqhjMXU7UGMaxkoqsLp5Rpv3GghEFimztkTcnqSZgXfeXkTFYW8yHnrVodTS1UqJRMU2DrwOLdaB6SrWW8YkWQFRVGw0/Y5dWQfZI8/n6IQvHO7PRGS7rY9RCGJLoUQCBSW58tH9kfaMRJZOu4VvpdYO4gSdF1nY280SUsOowxdV8lzOZQ4MVeWn+nH3Pc72ncWQkzc/p7Ea+WTjmbVZnW+zMbugHY/wtQ1yo7BQTfAHO+lVUWRxAHyieukUCDJclRFEMUyZW9+Rpo4ta63EULIvqCmUigKeS5wLIWRn5IXOQrqJAk9STOEKKiVLRxTJnGYuopta8zWbbb2fZI8J44zdE3h9tYQVVFYXaigqSrre0PWFitUXYMgynAtlUbVRtc13r61i4KCpqn0RzEb+0NKtkHJ1qWbb5az1/aolW1ubQ9IE0n02G377LQ8Tp2o0eqFtPoBmqoSxhl3dwdcPDlz7Pu6feARJ3Kt6Y9iusPoPUW8eS6dht9LhP44kHu04mMhjT5KXTXFFB8Vt3cGE+L+xv6I2brzWOfB+t6I7QMPgCDOeOXaAb/2jbVHvn9eCPJc1vE3NrvkBbiWwdbBiKprSuOqk1IsCu9//czygq8/tcCP395FCIVLJxv0vJg4zlEU+IOfbLHX9UmzgjBOee1ai7WFKieaZRZnS7T7ASgK8zMOQZzRGUaoQKNm0enHFEVBmgkaFZuikPPYlfkyP3xjh1bXxzY14iTHCzPqZZOFmTJekJJlMkWoMwh543qLvCiIxq7irq2RJDJJ0bU0ZusOJUdnMJKC0SDOcEydp8/MYuoaQZRgmwbru1K4bxoafpTRGURkmeynJFlOdxRzaa1BEGeoGoy8hNvbfdJMktHeutmWDsSGOp7LCmxTwzKO10G2qfP27S5hLNOT1/eGvHa9xdee+mDTmGw8IP6o6+pRaOO04ymmeD9s7Mk52ydJJPw84pDMeGdn+BkfyRSfBXRdZX1vhIICAm5u9qmVLUZjN/Uoztk+8FhbrJBmGdnY/KwoBFlWSFHnVg9D18hzKYRM0lxyeBSFLM/Z7viszJWpuDLpz9Z1BnGGrmqkZBTItqIiIM2ksYNlKKRpQRhlJJmcfUdxQa1sMgoSNveHXD7TpNOPJvWHYcl+5Op8hSiRopJqyWIUxmNhekK1ZE443I2KxUEvQCCkye18hZGfUAjZF/nW80sszZbHnICMXBTYpv7YSfafRP09xRSfNbLx/k7XVYIoI0kDKo7J+u6QZ8/NTswdqyWLJMl543prIqTtDCLWdz0p2FAU+n7C7Di1ExVQVbqDiKIoCOOC9V0PTVMwDZ1CQIGY9CezvGC+bpNksqdZFAV7Hcl1SkVOuxfJvXYmOYVfv7xIZxCTZDm1sslXLs7x0js7qELj1NLxufjm/oiNvRFRIpPG/8ffuzJJzu17Mf/zf77G//VvfvVYHT9fdyiQHKCSbRCnOYoimKs6tMczCiEE9ZqNY2kYuqyhfuG5Jf7rj+9SqBrLc2W+9tQ8t8fiUtvUefNmC4AkyXnl6j5/4VtnJse5deARxhlFISa9i0rJmph3HvRCFBUUBfYO0/cWK5Mk0/thGZpMbv4AdIcR/fH7ESfSQEfXVbJMis3nGrKfpKn3eoOH+/x2P+TO9hBDl0l/L1/ZO/aaPk5s7I/G6bDQ6knT0rJjfCx9nCcFs3WHg55M07UtjaUnMJlQQZojKyoIodyvx3oiMOxkD/ybknrAk63iaPeDz/oQHhvfen6Jf/dHt8gLKej4jZ9b/awP6TPDF2ai/Vf/6l/l7//9v0+v1zsmDHnllVf4/ve/zz/9p/+UOI4ZDAb8hb/wF/j93//9D/U8iqLguh+NQLTT9tja90CBU4vVB4jfYapgWffiYWzLJM6OLHwKZLmKYSQUQtDuh6zvBei6dPC//yK+1/H53qvbcrBaqBimihorpLm8MOcFlByTsm2w3/XICkGWyWQO29TJshzH0hCAZRhEaUKU5IRxSpIVUMgLqq6rFIUkYyp5gaKCbekszJRQFIVBkHFjy0NRFMI4JU4LSbzUVAQq+72IIO7z2vUOzbrDynyZr19eZG2hgmlo/ORKB03XIMnwQhn/qGkxlmXS8zLqFYtcaJxZrn0oJ1Zd1+Tjj2GYxuSzvrMzoNULUVXp4K2gcHOrT1GIT1Qh6ocp17d6ZLkshM+vNr60sWJfdBxzoWYsolIUBIKZms35lTpBnLHbCcjjsbJKsgzQkNGcpiEHDN9+eZP5uiuHA5bOYBTz3NkZoiRH1zQ0VWW3IyP0gijl5mYfVVP4zsubWLpGs+5Qr9j4UcL2/pD/+b++y07bwwvTcVNDUBQyJSOMc7JMoKgK9YrJ+ZU6y/Nlhl4ycbBXMjAN0DSNn3/+BN97dZO3bnb549e3mKk5zFRssqJgMEpwHYPZus122ydNC2ZrLr/xzdPc2O7z2rXWxEl4vuFimSoH3ZB31/v83/77H4xjwi3OLVcJkxyEgmPrZN2cjb0RYZTSH0WT5szpEzWePtuUQ5E0nxBRozgjyQq+/bMNgjCl1Q/ojSIEgrm6e2wTaps6z52fm9y/Nzqu2H0SN6xTfDiIgnEzVJJlSpZKybWIooy8kEQDRZEuMxfXGpKMLARBnJNnBV6UkWQefS/izRsHmKbO2kKF+bpDqxvy2rsttlrSDc80NObqDk+dnuH7r2zxnZ9tEiU5tYo5ISYdfvXE+L/tlsf2gcdeN+DyKRk57IUJmqKQZBlDP0Egi/x3bkO1bDFXtzm5VOUXniuxMFPCtnQ0VeU/x7e5PR4iZFnBficAoWIaKqYuh7Eq99YyBFxam8E0VNlMLgSnFqvc3OzzX3+yTp4XY7GVxvJcib/5Zy8SRRn7HZ84lfHK1ZKJrqtcXKtjmfqE/HXUsR8hP4c7OwPu7gxBgXPLdZ452+T6Zo/tA4+8EMxULLJcMAoSyo7BbjsgzQpMQ+fscpWfe3qJUslEU1SGfjx57DjJ8KOUKMkoOwbFocr1ISjuWwDEYywIvUHItQ25z6iXzc/9WvLAa/ucH++nCTH535F/E9KlIi9yRkEiyYWP8J4dJuQ97HmiJCdN7zUdoiRnvxNQCCHducR7f2dtU+fUUlUOdnT1kQcfG3tD9joBisJk/3241qDA6aUac40P3pM7ls7z5+e4eqcjCZsCTp2Q5+LHNUw56satayoXTzYm5JFPGu/c7vDa9QMQ8Oy5WZ4/P/epPO8XGh9hff28wbF0Tp+Q55+hS6KOH2ZoqoJxmNSV5Tzk9H0ocgHtfoyuqyiKFE72RzH7VkC1ZNKs2pxarvHOnS5hlGGZGk+dmvlAF9Q7uwNev9bCj1NW5yt87amFY+fSB14OHlgPP77Prloy+ZWvrBDGqRTKWp/OOT7FFI8LRVEQirw2KUCtYmFb0oQhiFOCKMPUNZyaDkgHaWmyogAKQkhKRRCmk/UiS2WSJUI+rqaDrikI5HBupmJRFJBmGRv7Q+JUYGoqi01XEpWFTNy7ut4lHTvve0FCdyT7jroqh4xpJm93Ns4nSb6HBMyxPx+mrtGo2qgKNMoWP//sEoNRRKNmUxxL2svY6/okaUHZ1ukOI4IoQ1UVFpsuM7VVRl7MfMPGMO6R/HbaHnd3RtLhzzUkaVGVxMXSkcSTOMt45VoLL5RGEX/m6+/d/D+slw6h6arcF437Bu1BwF7HR1Ekoepo2sf67pD9biB7hcu1Y47lf/zqJpv7crB9olnCGacOKYq8rW1K4xsvSHnt3YOPtb94tO98olmiM4iI0xzX1ieJCFN8etA0ma750tu7CCGI01yKeTSNxaZLlOT4YYquq5QdgySNx8m6cv+f5qAbClGSo2kqlqGOCbrKeO+vkOZSYKmgUC0Z+JFM9zxM8EpSKfjwwoyBl1ArmyRxzn434PXrLSxdPTJ0VSgKgaopk+t0GGeSFN4oMd9wWZ6v4No6l880uXqnS6svY+9LjsGZpRrlkslr1w/Y3B8x9BPOrdZZma8AMpWzMwjGKUIWiqJwY7PPXtdnpiLTyGxLJy/g0sl7iV4PpBa+x97ooBdMhL4r8+VjQtLHgR+mvLs+7cdP8WTh2LZaPH5P+sHbP/oDdIcRNzZ6rO8Nx0lACeWSgTFOCa6UDC6fbk7O5/fqJRxi62DETsvHtnT++p8+R9mxKLsG/+YP3qXVDzE0lSCUPcwsLwjjnL2uz7d/tsFszaJWMvnF508QhKkUsPZDNveH+FGGF2RomkK9bBMlKfvdiN//4R1c1+CXX1imVrbwgxSBoHAEKLDQKFG2ddb3RvRGkRTX5wWjMEERCkIR6IoyqaNELtPJF5ouuqoy13CxTY0wyrAtndX5Cr/7/VsTU65cCPJcUCtbNCoWzZozTlqO8MOUrYMRCw0p0hAFvHx1n9vbA+KxeU0yJuyeOlHl7EqdGxs9Xn33gDdvtjm3WuebzyxN3tsgStnYH00EgOt7Q756aeF9BZ57HZ+N/REAax8i4WWKKT4KDpM4Tr2HIc0XGadPyNd7Z3fwGR/JFJ8V7u+VHU+tLri1PeDW9oB3bndkYl/ZHBsQwMAfC/yqNn0vHqf1ScG1pkhX/KIo6I0iVFXB0lWqJYORH+LHx8mMR7fbmqqQ5zn9UcK1uz2GXkzJNag4MimwUbGpl232O6GceRYC01D5pReXeepkkzBOGfoR/8PvvMNe2wdFcHqpRlhzePNWmxcvzLG2UKXiGrx+vUWcFQRxwV/5lXNcudshihL+3fducfFkj4pr8OaNFq5tsDxX5te/sYb5iMZJ3WHEra0+QsBC0/3SicSm+GKj0w/Z6/gc9EMa4zT7wzl1mhWs741I0hzDUJlvuMfmAKoi1wkB6KqKl6T4oTQ9dS2NPJccCE1TQBFcPDkj5+q6ypW7XYQQ0lxGURiFKftd2SOolw3uxYpLcZoCFJlAMaBesfmlF5YJ4oyyY/Ltl9f52TstciEIk5Rf+cq9Xl6aZrx5s80oSOSaVBTjxCHJv4jinNevt6ShZcWiKASvXNtHCFiZL/HU6Sb7HR9VU3AsHcfW8aMMy9BolG3evNGe9M4un25yarFGECcsNsv88aub/MlbuwBcOnXckOp+LkA0Tl6XRhs6mqpwbb0rj2OhRKsXjvuM0oDn+kaP/ihG11QunGxQ/pBzy/vrOdPQuHhyZsJhGgUJNzYl72C27uDa+mSff39qxyc6bbvvwVu9kHc3eh+5j/MkQVHkf0UhUISC8iT2mxSF16+32O/4ssauPnlJHF9U5PmTNy+frTnoaoEowNIEldLn19j2k8YTO7XxPI/9/f3Jz3/4h39IvV6nXq8fu93v/d7v8d3vfpfvfve7/MN/+A+5cOHChxZwfBzI80IO0gAErO8NHyjGGhV7Eqmr6yorCxXpmivntawtVHjx4hyOpeGHKY6ps9gsEae5LHyOIElzfnZljywriOKMKEpplO2xk0smG4QlkywvGAYJpmkgCpm6oSjyT1TpBqapsqmojAezQSRJ0pqmEqX52IlTTpg0FUq2ialr6JqGMSaOH/QCwjhFU6UCtBByKFoUOVmWE8YZwyAhCBPyXPD69YPJxueXX1zGNjX8IEPXFRxTIy8E3UHIKEyRw2zpNPy48IKEr1yYxxqLOJbnyjxzRkahBFFKqyc3mkUh2Nwfsbk/mpDuW71w4jb6cWO75U0UsAMvoe/FH3CPKT7vyPKCIEqPiTYAvnZpfhIL9Y3LC9QrFq1+iGMZzNUd7uwOCaKM82sNdF2l5OgszpaoVSzOrNQmpOaSY4w3/H38MOHmZo84zSkUlSgVqLpKo2qNv1dyiJsLQZzkpGlOmklFfDIminhRRncQYZkyfWfoxziWwdeeWkDXFFQFyo6OoSnM1hxm6i7VksXt3SEFKpWSiRAFuYDnz88y8GLevdsnTguCOGen5eOHCet7Q1lsZQXbLW/iKjLwIl67fkC7F+AHMVGWIZCpQFGcTwY2aV7ghQndYcx2O6BasqhXTPa7AXMNF8fSyAoxcc23TZ35GVmgJnFKZxASjxXwtqVz0A1oVCzyQhCGmUxQUFX8MOWFC/PHPjtNlcWeqioPrt/zH2+hkT/k+zPFZ49RmI4JQIcxbyqqouDaBoYuz8/tto+hqZxcqkk3g3ESTiak+/2hwDEXEIQpN7f6oCpstTy6Q5loMQwSsqzg3Eqd5bkK6/sjslygKgpekBKnOSvzFWaqNiiwMlfGDxM2x82ZimMyCmVcfZIVzNQdlufKJJk8/1RA18DzYwZ+gqFrdIcxA+/QvSHj608tMluzybKcvMh5+kyT1UUXVYE0F8zWHC6faTJTtVldKGMYGsvzZVYXKqwuVFhbqEwiXQ1N5c72gIOeVIVvt3zevt3hB2/sSBe/ouDuzpDt9kgKRrrhMSf7r1xYmKydF9YatPsBrX4kt0wCOoOQKMkYenJNCeOM7lA2r3fbPkM/4fKZ5sQZ9/Ryg1/92iqXTzVRx65wJ+akgKVesXDHhNBa2XpfR/2BF1MpmVjjxkfJkWv5I0M5Qtd/Atxyl2ZL2JZ8rY6tf6Rkqi8adE1ldWHs2qAcd4/LirFo8xEeRxvvr98PQghyISa1xVzdkUSxJMe2VEqWMTknjmKpWcK1pBi0WjKPkRMfhijJ2OsE4+dl4jB96Nx5WOc8MoTgjZutyfXt7s6Q8L7j7A0jgih59Mc8goEXMxivA1lesHUwGhPoUsI4m6wBHzeKouD1sYAD4K2bbZLkQXePKR4PmqaytlCZ1Mcnl6pPrLP4ynwZy5QCzXrFIkpy4jQnKwp5XqU5Jcv4UI3zXEhjhkEQ0RlGzM848rsuBCvzFQajGC9MiZOMIErZ7fjv+3hhnHF7a4AfyWSt3bbHdss7dpvFposzTr9wbJ35xvHrQb1iUR9HK8u98od3tTl0ID96/uqaSsW1pgKOKT730BQVQ5f1AihYho5palRckzwrGHgxqiJAKBi6hq6pDMaia5leoYxnoHJ1aNTs8WOBbetUSyagoAiF82v1SYJsrWICKgjpPrmxP5KDWkXhoBey0/JY3xvQGYS8u9EfD2GhO5IpHCCv+3vdgHjs5nl+tY5hyMe0TZ2LazPoqoquqpPjalQdEAqWqdEbhjLBT5P30VQFP04ZjO6Jp4deQr1kcWKuQr3q3ls3NJUwyhDj1x3FGUEor+8KCiiyv9cfRfSGCWEiRTFJktMek8wf+CxU5dg15YVzc7hjk4xDo4zD172+N5z0dA7ThuI0J07yY73I3bbH5rj3m+eC1iCUg25kL6NesbEtHV1T2diXKYJxmn8s/cX7+86v32hN9n5BlD30fZjik8W19R62oTNbd8lyQd+LWZxzKATjWr+CZWgkeYF6ZHYuhVKyDhgFCVv7I1zLoF42KQqol01JgMgLDENF01QMXcPUpWmSoshz/fCcyQsIk5zOIKI9DMlzmQ7YGYQUeY5hKJi6KonQZR2QidRCyP77fMMBVaEQUnRkmxq/+rXVST99daHC8xdmMXQVBYWBn0jHzawgTjJmaw5pnpPngmrJQNcUrtztUHENSpYxJisqNGsOfphOnDFB9uoPBd7Vkkmzdk80dYiNvdFk3711cK+nfhT9UYQXvH9NMe3HT/Ek4tRSddI+WpkvP7YhgiToy727aWq8cOHRzQc29ob0vZj+KKbdDzF1la39EQMvZrbmEMa5NFxCXrvv7yUcIs3krODwd71RwvyMy3bLIxeS8ZXmBctzJeoli3w8W1yccdnt+ETJocu44OSJOmGS4zgG51flPEUgRfRxkhEn8hxPcmnIs3ngUXVNTp2QhnKuJQ10bFujM4wI0wxVU4nTnCDJsUx97KCrUK3ItVjTVSxL7h+29jy8MOH5c3PMN0o0qg6Nqk27H+KNr/WbBx5JIucb7X5IrWzy9JkZNE0lzaQwtuIYtPoh19b7HPR8skyS1dIsJy8Kqo7JdstjeUx2eu36waSvcnOzT3cY0BtGeEFKydZIk3wiDhZFwdB/+HpYjPeKh4rXjSMz0Smm+DSwvivXh/dKFf4i41C00urdWy+m+HLhK5cWJvXj2mKFSydnxjW+7M25lk6rF8r6IcmoliwMQ5WpFIrst6V5wX5PztKqZQvL1CYmDI6pkYz5AKahst3xCR/Sc1eQvUVdUyXJdLzXqJctLEPFC1NKjsGl003COCNOU4SQSZ+apmLpOral06g67LQCvCBB01TyrGCn5cvXJeDW9oCTSxWZSJULFmZcBILdceKvYRjkheDHb+5wZ0dyDAZeQm8Uc239/8/ef8VYlqX5vdhv+72Pt+FdelO+uqvdTI8fDodkkyIp3nsh6cpA1IVEcCASgiAIBMknYh5IvRHQJUAQBChciRQ1JMeSM+Q0p6e7p32XTW/Cu+PP2d7qYe04GZGmqrK6uqqyKv6NRlZmRJw4Zu+1vvV9fzOYzs2PzutPMo3Z3B9Pic4HPRc/OO3Tn+LTA0mScLwIKb/GZVmaziMzxNwwyg2aZ+qFaa+wVjZ44Xxj+jiNikEQpnmivcLECdE1KU8Wlriy1qBoCd5MvWJSLRooijBLzrKMWxtDwUsMYnrjgFblKAFCol7RCaIEWRY1+92dIbquUiubqKrMH31nkyRNSNOUm5tD3r7bYWNvxG7XZuyGRHGS18EZszVrmj6nawqXz9QJopggShiMfb7z9u70fl/fnVAwVEoFnZKpszZXplI0MDQVQ1doVo2pSPqod2aZCtWSSRDEfPedfZGOnKTc3hwyPyOEzaoq8+rlWeI4pTfyCMMYKf+f+Ezg7Tz9F0R9PnHDqQvmYBJM0zOO5pYfFM2qSamg5e+v6KEc5zAd5zceDtypcIJMGAIu53MaVZV55dLMu/ymnwxLs+WpuUy9YgiD3GN9nJ/WrPaThO7Qww9EymOUpOx1330u90nEvR1x1kwzIWR6+073435KT42ZmUcNCorFZ9+0IHwG76Fv/HgHJAVVVQhT+OMfb37cT+ljwzObxDGZTPiN3/gNgiBAkiQajQb/7J/9MyRJ4u/9vb/HL/3SL/HLv/zLH/fTfBSSdMJGV5KkRwgnsixxabVBnKQosvh6wdSEI02WTR1r/uovnGfzYMJh/9gA7thDHfRdNvbHYvAQZyiyNCURtupFQOLedh9dV4nTCENTUGQxwJRJcfwETZFx/JhhmCttTY0wilFzJS5ZRpaJ56iqMqqqYaoSfipem2EorM6VuLM9YuvA5rAvVKUFS0UC1hZqjOwATVGYvjFZhiTJjJ2QoZ3x5u0uizMllmbK/O2/8RK/8827fPftQyECIaZZNWnXClOipPyUBJ7r6z1+eEOQq1662OS15+YpWU+O8n0cQeij4gw9o9ykU+Sw3ZCbmwOSJBNNjWOOcueX66zMVyFN0XVVEDGTbDo0lJCQJEHI/NkXF5hpFlhsl1BlWWzEWcqPbh/iuBHv3O3THXocDGxBZAo1QByOJMQAV5EVVmYrqKrEYd9lbEdMkoxSU6dkachSRn8SkCYppqGSZeQET4m5egFFllEVhYV2kaKpUSubvHyxzUK7xN3t0fQ+mWsWaVUs5toF1uaq/Paf3qU3cqeunZmUsdt3sJ0Iz49ZbKvTw81u12Zjb4wXxDh+jJLHsZULGkuzZc4sVPCDhOsbfbwgQUKQxZZmy+JQmmXs9V0WWyWSNKVWMmhWTdI0Q9dVNE1mv2fzr//oFn6YUCxo/Pd//hLVkgUSFE2NRsVgr2vTrhaYqVssz5ZFgsIT8Lj1+8OCF8RcX+8TxymmoXBlrXka9/oJQhSn+GFCGKdImSC1X1ppcHt7iCxBZ+QzcUNGdsAXrs7x0oU2u12HNMvojTziJEVTZMZuRBylpGTTexZEHKGpKCzPlJhtFmjnpEhxf4gGa6mg89KFFs2qIIMEQcTNzSHrezFv3e1iaiqKIjHbKPDSxTb6/SPSvc7KbAlVlrixOcTxEvwoJs5TLbYPJsw2CnhhMj3wK6rElbU6G/tj3r7XQ5VlgijlzHyJaknnpfMtahULOXf30VSZJElBEuKv7tDjWu7Y6fgxx60XFEkmyEUeUZwSxel0b3/4lrq0VufMUpX+yOHf/pc7TNyQvZ6bN5E0QY5DkDxKlsZw4hPnrsfi8STmGkX+6s+f58Jqbbr/V0sKr16aEc7DijxtaPtBTJym6Kr6RGeE713b59bGAIDnzjV45dLMU9+rzarJ1TNN0jRFVZRP/P6vqQovnGtNP+tTnMR8qygIT3mjMssy6mWDpXY5d5VLcbyIJ3H7FQm0nHCga4IMmKQZD5/DoyjjoO9ya3PASFSyLwABAABJREFUxZU6SSIIW4oqEUUZf/zDLeI8beMXXl2aOiiahsqLF57u83vk/CKJOuXkOef9vT+uH3FjY8BBT9QHrZqVn0ce4Os/3JomfHzh6hwXV+pPfLzHP+GTf+2PfQaTgN2Oja4pzDWLnF+qTUmiHyZkWZo6X0gSuUr+FD8p5ppFIY7L76tnFQVT45WLbZJU7DdH4qfjr8jQVcwoydcPCfcpBox+mJIBnZ6D3Czx6pVZLizWmG8XiZOUzb1xnnApvafY8OgWn/796L4/Bk1VeP5c84nriSRJXFyp/8S1cpZl3NoU6TqSBOeXa1OHsVOc4pMOXVPyBKwUSZIY2AG1kg6SxNu3D7m2Ic58+32Fl842aeX7tUiIy1BkmTQDy9DQdQVZkignGq9caBMkKVmasrlvE8YJsiScjJ4/2ySIE8Z2yGF/b3rvCucvIUL3w4jf/sZdgihFzdOAjjb1OMmo5HWyLGc4XsT33tkHwDIUnlur4QVQLerUKgYL7QwkBUs/uQ68cavDft9BlkQCyWyjQJqBH0aEUUq1aCBJYthwZrFKlonXe26pRtHSkCWJP/zu+rRPkqQw1ywx1ywiyxIHPZc3bnchy4efBzZ+FKPJMlfPNngSHt5TFmdKxPne/eNjYswwSnjzdlesYYrE9uEE148fEeo+nGom1voHZ4vjmDgh9/PkgFJB4/lzzfd5JT0BD/Wd5Q+5L3GKDwZFFgnW860iiiKMjTRZZuvAFoIgoFkxaNVNDvsurhfhhwlJkqKqwvXSDSJUR2K356CpKvOtIrqmEMcxWx0H0ozuyCPLwNJlVufKLLVL/PDGPrYPSSzSuAVxQxA4HClCIiNJJTQ1QVUgK8A3Xt8ljFPW5sq8enmGd+71GTshhq7y8oUmBVOnO/TpjXzOLdX4W//zlwiTZHqePlrn3CDisO9y0HeRkPiVLyxTNFV+eOOANIP9nku1pCNJ4r7TNIl2rTC9Zo9fupah8vLF9rueWU5c6o+57L/x421BGJfgc5dnuLL2/u6301voFM8CWjUhEjg+P3waqKrMr3xhFdePMfX3n9AJR/0Bsd/EeUqFIgtRWT135Dw6sj3cS5MfvnEfmp0e/Vk0NQxNYTgO0DSVr331HBu7I6IkIUPi+np/+liGpvDLn1vmwmKVztgX5lBhQsUUBjv3d8eEcYKEjGkoyBKMnRBLV3nxfJNLKw1ev33Ivd1xbnYjE8cphqqglgzCKKFUEMINSZZw/YjByCVKUjw/ZjAJuL09YrFV5N7umF/+/DKyJHo5I+eBKEwSZsRIEiiKRJKvz3OtImmWid+pC9HJYd9l6yBm42BClmWosiQEoZros44cQWI97HtkiL4iGXzjx7uM7ID+WIjiZpoWmiKchzVNe88a4djH8bhl9RSn+KkhSVK2ciLjZ80pv1TQadctOgOP+zsjXjjf+rif0ik+Yiy2S/yNX7pInKZTI7HLa8L1vjfy2NyfsL43YvvQnooZL67U+N61PWw/ZjAOKFoqrhchSzqtqoGhVshI6Y983CAhzVIsU2an6xIn2WMTvIqmSpalSBKUCgZxktCqWVxeaZBmKYYuc9j3CeOEH984zJNFIyxDZbZZZL5ZRNce1BNSXp9IUpbvfxljJ2TkBFQKBgVD5dJqAz8QBO80y1ibLdMfedMUc2FocVRUQBjF3N0d4YcJGUdzP4lSQePyauORNL1H9r3Tze0UnyL8+NbBVAB51RAz7qN74OhSP7q3LEPh6pnGdCYx0ygx17TJMqhVLHoTP0/4FtzBZq2AoUXomkgQPTNfxvUTKiWdvTxhL0mF8GO3O2HkCBFiq2byF758Bi+KMRSZOztjdjr7Yh4RiTSN4xi7If2RqJc1VeaPvrvBXk9wIVfny3h+nIvQElStyP/xr71Ib+RRKao4fsq9nXEuJFMhO3aDy3BhocbF1RqqLAyqFUVhbIcYukzhIW7g2A7YOpiQZWIt7I08xvlrqpZ0vvrCIinZlKf1u9+6h+1G6LrChaUaZxYqIilZkbm12Z8+roSEriuCCSWDrp2k6z4tz/E4siwTvzNPck4eEl8/OtM99jXg515dJIgSYczzU5zzlyyNly+2pz3SH944eJAcIH02+y/P5GvOMoIwJYgSpBjiJHnvn/mEQfmUhodE0Qczw/w4EYQJQZgKs+REeiaFKB8WPlYGyU8yRJqfn+ff/tt/y+/8zu/w27/92/zLf/kvuXLlCgD/6B/9o8cKOL74xS/yW7/1Wx/4d34YUGSJtfkKsiycrM4uVp/4vaoin3iPFFk60YAdToKcuCwObYoCC60Hru/bhxOCIGZ5powbRJimwnyryGxTEMmunq2zOl8mTlNKpsaVtQbtepFq0SBDOOT5uTMLiGbdYOKRpsLxxtQUgjjDDxMsXcEPklyBKtS8fhijyhK7HZv9rkOSpARxihfEhFGWHwoFMTPNEAWSIcQqmibjeCEXlmoA3Nzos3M4YeJFzNaLFCwVVZWpFHXmmkVm6wUqBY04TVlbePeGTppmTNxwqq5/625v2onc6bjEOWF07ITESUrB1FhoFyF3L1ibr3BmviKKF0kQ8wrmT8fpc2W2LMQpUt6IPyWmPNPY7TrTItTxIvpjcQgJo4SxE6JITCM/JUni/HItXwfg+XMNmhVBrLJMlUbFFEk3qkzBVAnjlGrBxMsJBKapICNj6sLtP0UUxUGYMBh5FAyVoqVi6Rq6KsgfuiqEXsWCjqLIVAtikJqmKYYmk5FhajpRknF3d0i9bGAZOn6YYvshtzb7rG+PGNkBF1eqosEDtOomBV3l9TuHqLJMpWSIQ1mWUSkZqJJMuaCRZhluEAsSVsUU7k5JRhjFBGFMFKUEUUwYJ2iqTJxkzDQLLLXL6JpMuaDz0rkWn7s8iyxLFCyNl8+3heJckri81sAw1FzRb9CqWnz37X3cIBbvy9Dnu2+LhKelmRKmrnDYd6kUdUxdxvVjVucr+EHMxA0fcZ7y8n/P8kPHe+1xcZyy17UZTvx3/b4j7PeE2xaISMhTB81PFiZeSBKn5Jc2aQrtuoWmKWzuj+mNHORM3O8/vHFAs2bx3NkGXhBTK+nUSgaKIgkRlQwFU2V1voJpqFxaqdOsWozdiKKpYbsxB32b/Z5DvWwgSSKJqlLUCHJHtu2DMT++3ckdt8Vzcv0IWZbQVHG/LM2UkCTQFJmZehFdF0k+QuQgoSoSozxyOYxSdg4nbB/YbB9O2O86ZEj4YUp/5NEbuXiBIJiGccbt7dGUnHlEsOgMPQZjjyhOSdKMZsVElmCxVcQydSZuyHJbJDrMt4RroKZIzLcKIvnCUKZOEMehqzKv3+ri+DGyLF7bQd9FU2VeuzpLpWTy0oUWiiLRqFm8cK6FYaisLZRRVTEkPb8iBBzTGiGMGTsBnYGoCzRV5sxCFS9KcL2YxXYRQzsZL+r6Mfd3hly7+8Bt4Nq9/hPTE95tDXjt6pwYxqoKl1brtGqf/GSL45/1KR6FoshTovlez8HxIyxLoWRpGLqGqSkoT9g2sgzSLEURJeHUCfvhb8+kjDBKWN8bs743oj/xxV6UZQxsn4OBSxAmjCc+f/r6DoPRA0e3d/v8eiOP3c6Eke3j5fWzoSksz5aRcieutYWK+HOuMiUgnF148jnnOA764j67tNoQZ4gg4qULLUp5elZ36J5I+Pggjh71sikSRiSE81gm9m3XjxlOAsIoeSRR4MOALIt1SFEkFEXi85fn0E/vkw8Nx++rZxmSJE1JvSVTpT/2yTJ44VyTkqXiBzEl46hel59qvnhUrSZpRm/sQpIQJgkFQz1x32uK8p5DAtNQubRap1IUTlvLs+XH7svvZz94P7Xyu2HshNN0nSzjwRpxilM8A5htFCgVhCtltWTwyoUW63tjNvdG3NsdE4axOAMHEWMvysUe8NyZJlkGji+GpvWqIVz3NYWXLraRZAnPi2jURHKFqioYuorrR9zdGfHOnS5ZGlO2RK9PkiXOLdXoTwL2uzajoUiVSJKMOE3xgwjHjxg7IXMNi3JROF8ahkq1bJCmGUmS0hv7qKqGZapkEuK8rqnoqkyzalEwRY8jTlL2+w5xkhIn2TS5TlEkLq40+MLVWWRFEBJ/+fPLWLqKosi06xbVkoGqyMiyxNe+ehZDF0YTr1xsceVMk2GeUtIZennfIGFzb0iapkh5ksDYDkSCxhPcbI/vKUfrmKaK5Kej2sbU1amAxPUi4jgTX5OkEzX/bKPAheXatO547crsibPFccjyAzGirin8pAbXiixxZr467Tt/7vIsResoTVB/JCHpFB8Nzs6ViBNxdq6WTEqWxsb+GC8IkWRwwxg/Snn5QpvFdhlFkSlaOo2qEDenqeipZ2nMxAmw/YDB2Kc79PDCFE2WGdkitVORJZBkBpMQWZb5/JV5YcSgyBiqhKkpFEzR+wPRJ9dViTBOGLshh0OXiSuSuna6Dr//rXWyLEVVZMIwpjcKSFPR3w/ChJ1DG10XCdxHPbGjdU5TFKyj1GBNCNBUVUHXRR1i6Arz7Qf32Beuzk+vV8tQMTTlhIvu8RojTcV5ejB+cJ4+u1DNhUuwNlc5IZq6vzPknXs90lT0SN6623vi53Xajz/Fs4qH54cfBAVTfayAww9jdjo2rh/miVQPiAFr8xWaVZNWzaScp1mtzJUpFzUmbnRifva4XsIRNFVm9VhP4cxChSQRJK2SpZKkKU4QUrbEHGFprky5JFx7X74oeghRnAiTkTSlUTVQZZnh2CeJEoIoZrdrYxkKpq6SZCmqKmMZKvWy6Dte3xiw1ZmwdTBBkSS8IMb2Ito1C1mRaFcLrOXmUWkmejCjsYeiqKSZSEmOopQkzhhOAvojj6//YIuRHbDXs3OndIUkFSnLpYJwIG/VLGwnYvNgQqWgU8pnnYauoCgyZxarjN0IVRGfsaLIFCxh3LU8V+H71/bpDj3OLlZJ04wgjLEMMdtwfdHXlSSJZrWAJEvUygZnFypiJvPQvPTo83b8iNWHZtkPk2FPcYqfFna7DlGcYurKu5qqfVpxPudG3N4afqzP4xQfPmxX7KPvBVWVH0mC11SZsROwtT9iY28EmThDdoc+Ox2bIErxfZG26wUxhqYSRSkjO0JVxDncDSKCKMbQFHxfiAdP/A4FdBUKhpDx6aqClScEly2dZsUkSVNsL8LUNAqWhuPF9EYuhwMXy9KQZYnB2GexXTrBg5qrF6gUDeI4Q1MVZptFNvdH+EFCwVLpDj3OzFeYa4l7vlEx+fxz8/zcy0ukeSLpr3xhmfPLdcoFjXrJQNdU5vM1YufQnvYKbTd6bJre2nxlyrtYmi098h6f4hTPKsaTkE7fR8rrts39Ca4b8cc/2OD6fXH2VfO+l6bJU6PpozPzzuGEOJGIkow0SZmrm8RJQpIkXDkjEndTMpAkbC8miFKSVCTfvHqxhWWoaKrCpbU6mqrkpjGQpVCvWERhSgqcW6qgKeB5MRIpjbI15UklSYqlyVNCu6pI3NsZE8UxUZxwY70PmUgFTtOUYkGjXNBpVi3qlQKtqonthRz0bFIyXrk8QxjHOF7Ia1fmWJ0rsdOx6Q49ltolyDJsPyJOUtpV80TvzMtTd70gFv3Lgo4sC3+2etkgTjORdueF3N4aYLtiXQ/DhOHEp2BqKKpMo2LyC59bRs/fkxcutLi4VENVJDRF5rmzdZpVEy+MkRDppu+Fh89iR+iNhZlomD/3ve7JecnqfEX0UyQhFryy1jxR5yfJg9f004YsP7j23q2P82lFu16gWhI9uaKlsdB69tIfmtXCNCVMkWWWZ5490bXjPlon2OGzf94tl569s1OrZiJJkGZCzDZTfXfDwU8zPpLK9Gtf+9pj//3v/t2/i66fVDVKksRv//ZvfxRP62PDTL3wEw/N7mwN+PffuIsXJAzGHlfW6oyckJXZytSdezgJ2Os6DCYiLnemXqVZNfnZl+b5+g926PY9djoemixh5SKOIEq4dr9PdpAyciMy4nwgCQliQJIhockyQSSaehlgezGGJgo7TclIM5mSqdIZ+tiecN0ydEU0MLMUNYiE622jwPXxkIwMVVV48XwTJBmJDC9M8yJzzL3dMTfW+3RHPq2qSbWo87MvzdMdBBQLGm4YUy7oqLIgWldLj5fNpWnG9fU+jheBBOcWq2IIRa4MlATB9u5OhyR3Kr56psHSTJnFdukE0eTVSzMiNu6nKI00DZWXLrR/6r/nFB8NHi46VUXCdkNubAzE0FSTuXqmiZ4TgytFnVcvn7zODvoOG/sTbm8OKRd0Lq3Wubc75Dtv7zMY+fhhDEhkqXCySDOQMonh2GPkBOhqTlwMU/wwJs1SFmeKtCMTU1e5cqZObxSw13EoFzTKRZ2FlnDH/P61AzKEC/3F5RrteoEsg7s7A66v95i4EZKU0axanJmv8hd+5gwTx+fNe32ubw6xPTFkAZAVGU2RSeOUYkFnNBGpSqosYXsRF1frVAoa3YGHFwhifCylYkBhCgdOVZH55c+v8KuviajVJEkpFQ3OzFc4t1ilM/RY3xujKTLdkRA8yLLE+aUqjWMbf2/o4QQxMrDbE4IzM0/q6OUkOkmCVy/VSVN4865w9ixaGpfXGiiyxH7Pmca/V0s6F1fq73rPxnHKH35vg/7IBwleuzzHpbV3dxV/mKSoPInte4qPBWEQcWQUINzyJSDl+r2ecMxPMtLUplw0aFRN0jSlN/KxdIUkFXuPrsk0qya/9PlF5pqV/B6vIcsyWZZx2Hd4406XNE/qSRIhfFpoFSETv+Pe1oj/8F/vMJgERFFKo2Ly2nOzlAsazapJo2JNSQ8L7RLzrSL1skl/7NMbivhMcalJVIo6K3NldrsO/YlPb+iTShkFXcMPYyQpI4gS4kQIMpMkmQ561YeuzyMX/SBKKFoaS+0Sqirz5Rfm2ek4vHWng6lJ/Nm1A9b3x7hBwpXVOmeXaiiyzHNnRTzrk3DcraJS1Pnc5Rl+5Qur03974Xyb5842p88vTVNubQ2na4/nxxRMjRt5jbBzaNMdeViGSrNq8atfWGF9b8zOgU2WZciycFE9erzhxOcPv7OJF0bc2h5yZr46Jco8bvgdxyl/9L1NeiPvsS6gc80i/80vXyRN06dyPzzFJx/fu7bPb/3xbbwwhgzmWgWSOBOR39njnSpSIIwfRGDKEsIdO0mIj/2IhMRoEvD6rQ47HRsviMkQDZQoTHICgSB7lQs6e12bVy/PsNguc+YJgou37nR4/VaH3tinkCd2nF2oMdMoMN8qMtcsnNjvZhoFZp5yuHpEAmjXLNovL7E6V2K2+UCYrqknBVPKBxRBnF2scmahgiRJ/OjmIVH+5h01lB9etz4snF+qc37p3ff4U5wCYHN/xL/7+l38KMHUFf7iV9f409e3iZKUMEowdAVNlTF1GS98OieSMMmQo5S9gQeywvaBLRy6Z8rTs4auK+/5OIszZRba4v78OM+nj56rTvfKUzw7UBVx7j+69/4f/68fcGdnBMDYFudfEOYpkHHlTANZkumNPfa6Dkma4vkRV842efF8C1mSubsz4ObGgCRNGdgha3MlFtolZEni+9f3+eYbu4LgoUssNouYugxZxpu3OnRHPkeSL1kGSZJJMwk/iEhTiZSMezsjPn9ljnrZQFNVwihGVmVAQkoz2vWCcGrOwDIVVudEXaGqMs+fa5FlGf2Rxx98e50gEvvvTN3if/bz50/Uu69dnTtR+z6uFzZTL/KXf+4ccRRTLOhcX+9huxH9kcdgHODkhJgoyZipF1AUCTlPL3k7J203qybncmLUe2GuWWS2Ieqd9b0xh30XEM7bjZysKkkSlnmyxf7F5+d57eossixzZ3vAd97eh0wMe3/tS2tTV7tK0eDcYm36WtUPgRzZrlu06w96HrONwmlf8WPE2A75V390C8eNmHghSBK3t4YiiS9KKVgqlqGiKhKun3BmscprV2cY2REb+yPeuNnBC0RSpuNGjJwIz09J8sQZOTcdygDylCxVlafC4ZlGkb/111+iVtR5/XaXzYMxWwc2tbJB0VDYPrTpjH38KEGSZAqmSNyZOBEjOyBDGNFcXK1Tq1uszJXY3Len4u6zi9XH9sSunmkiARM3enB9KzKGrrA6V5n+20KeWnh0fc40Cux1bbYObG5uDKiVDS4s105cv2kqztOdgej1vXJphufONqlXTD5feVRw8dadDt+/ts/9vTElU2VtvoKuPtmQ6bQff4pTnMTIDvjD724QhAluEHN2oUIl72+eX6pRLRl8/sosn7s8M90rj+6ds4uVR4xJHtdLOMJso3BiTfif/tMNtg4meVKthOPH/PhWh/2By8sX2/y1XziP7Qbc3ByydTDBC2LRv+uIHuS339xlY29MnKSkaUaakacMK8w3Cvz6z6xxb3uC7YaMspCh7UOWMbQjkWiexGiaimmofPmFORpVi//6ox0cL2Y48ZAVGc9PUJUEWZJzga2M40c4nkQUOwzGPjc2BuiqhKLK/NLnV1ieLXF+uU536DHMe5Nx/OA1ekFCrWRyebWBIsO93TGaIlEuGmiKRNHSWWgVKVoafhDzzr0+qiIEKV96bo6RE7CxP+H+7jg3D1GwDIVXLs6iqRBGGV6Q5HOpFMeLp/NSWZK4sz3M6zqVVy62f2Jx0ClO8bQ4SildmSt/JsVDF5Zr/Nlbe9zaGnzcT+UUHyJubw0Y5OaOSzOlaX/t/eL/98e3+Obr2+z1PPwwpmjp1Co6fpJyOHDoDX2STLiwm5qCqimQgeMHbHcigjDJyXGQZRFSJnoPR5ppXZW5uFJjZId0R56Yw6sypYLOYv5c2/UCw4nPxv6Ejf0JRUvD0lX2ejaOL8wYn7/QYqld4hc/vzx97ne2B/zJj3aoFHXCyMyNYwOSJM0FGtCsWbx0sc2f++LaiT7BTLPAL39+BYDZZoGV2TI/98oSaZqyvjeZGh4eN0iAR2fqANWS8Qjv4hSn+DRAV0HXZFQ1T9GVMv7v/+M3mbgRsgRffXmR5862ptf+wyaFB0NXzKvJcBwf0zBQFQVJkhjaIbqqoCnCMC7KjeTSPMXjZ19a4P/8371Kkjvx39seTQ3aJCnj9lZf1LsjCVnK6I4CoiRl4GTsdCa8eadLmmYYukK7UcQ0dZJE8J2GdkjiiUVKk2HkCtFFFEt0+x5XzjSmr+n/+19u8ubtDmmWsdtzqRU1dFVFVTL2ezb/+W4vN3KT6Axd7u9N8PyYPUViZbbML722On2sP3trj/U9UYsYuszybIm1+er0NX39B5sMJoEwfqie7EEUTI0XzrdOrDP/za+WSdNU8LaQuLxWR5EVZFmkrpuaMJHwg1ikiDwB24cTdjsO8GhvM8tgc39CFAvxdqV0klNRsjReeYjf2MqT2R/mLX3h6hwXVz6ameaT+jifZiiyJEwNn+G9SFNllmbKNCoGivIggfNZQrn46HW30HpvIdUnHYb0qDjlk44wFveCLGUgQSadJnH8VFGr1R75/2uvvcbMzMwj/16tvj/H1s86fnDjkCTJcLwQL0joDALiOOXm5oMDva4Kkkd/7E9JDRt7Y/6n/3SDvb7NXs9h4gRMvJgwjPnmG7t0hx4TN8QLE7I0o2IZKBLIioScQcHSkeWMOI5Ijt03GeSRYBKZJGNqsiCZpilZHuHshwmyDKoslKUFQ8HxhPiiUjAoWRq2F5NlMNssMduw6AxcNvbH1CsGvZEQo4g4toy722OCKKY39Ng+FK/H9SPubA8ZToITTl1HmLihEHDkT3qv6/CVF+YpWMLZ9LmzDQ76LmE+VI7jdHr4e9wG+lFtqs/q5n0KQToYTgJGdsDSTIlSQUNVZGYbBeoVk4O+O010CKN0Gm19HMc//4O+O7XUnbghjh9xY31AEqe4uaN0GCc4fkKaJkyckCCKcbxIkMgz4cQ0dgKR0JFJyJKEqSvCGU9RWJ4pISsSIyecxpfaXoiq5EkdpspcQyjaywWN7UMbzw+J44QoEoPe9f0xvYFDbxQynoRoikyloOeOmxGGoqDI4ndEUSJiE2UJJOFE4rgRa/NVVFVGkUUhqEgSuioGLKau8tKFFqois3FgM7ZDukOfke0zckJBsNgdc3drwDv3uhz2RVMry+Cg/yDB4tJqHUMXzsOVgk7RUNg8EIPnmxsDGhUzF5bEVEoGh4MH77/jRUwcoUbf6zrTxxzZYe7uHbF1IAZXD0cWHgxccRACyODNux0GY3/q6vk4LLRLVErCqbRZNWnXPrsK1E8iJu4DtzJJEn//+g92SNKU9FgCT5Km1Eoab9zusLk/RpZlxm6EG8QosoyuKnRHIUgiGlSWZWwv5M07HbYPHcjADSLiJMEPE5oVkzBKiZKMWlmk3KzvTXC8EEWROBi4kInD4Ey9gKEpJw71kiSxPFemaAk34EbZwDRUykXxZ7VosDxTxtRVTFOlYGgUTIVa2SCKhZipWjaoFHVqZQNkmKmb1EsGW/m9NHbDqUO240VsHUzQNYVKSac/Cbi7PcQyNdwgZWwH9MZCcLZ5YGNoKkuzpamAY69rs743esTB9mdfXGC+VSTNXT9/5uWlE19P04yREzLO71nXj+mNfA77LoOxx/3dEVv741z4GnJvdzh16e2NPDpDl5vrAyZOyMgO8lSCB24Ut7aGuIFwtmvXLSauWD9/5sWF6e8fTPzp7+9MG2JAJtabx+FUwPHpw7fe2MndGlMmbshB32Voe2Q8cMx/L6RZHo2bnYy8PfpvXVdI0wwviCmZOpqqsJCTJBwvnsYge0HCYd+jMxD1f3/sT4UNR7ixMSCKU5FYNQmw3ejEnvdh1KiL7RKyBJ2BS8FUmWmcdB2plgxeuTQjYoZlqBb1KYHyaXH0fM8v1aiVTGabBRbbJcoFndW5Z88p5BSfHoRRwjff3J2Sj20v4t99/S6DcTCtkf1Q1PofhMAgA7WSSXf4IFFnv+9iGAqdoYftBVSLjyczTtyQwdgnSYVz/vH97+NC0dJYmikJolKeXnaKUzxL8MOYwSRge3/CnZ0hSSoi770wEY5zebqDH0bc2BhwZ2fI9sGEIIoZ2wFIgpSxfWjTH/us79k4XsjYiXB84b6fphmWrjKyA5HMR4YfCJFHlonfcTj0pmrGJMvQFJFwoakySYpw2csgiFJsJ0RTVbScxDHOa+sXztSZaxTRcmftr760SH/sM3YCzi1W8QLxWhVF5uxCmSCKSbOEK2cbwMl69/h/O17EcBIQJ8KA4v7uiM7AZa9nQwaqqnJ3e0x/HEyTCbMsFWR4VebFCzOcXapi6RpzzQKrx5y+e6NHa553w1H9sNguUSnqqIrMYrvE82ebaJqCaSicXaji+tGJc/3R67mxPpgWeoNJcCL968xCRTgW5q7l5rsMa38SnPYVPz68dbeD40YkeeLltfs9wiiZpu0FQYTnB4RRjOtF6IpMyTIIIpGMEcTptAefpjB24mkCJ0CcivMmmRBiZZlw2X3hXJNmzSJJUqpFg1LJoGBq6IpCwVKJoxQk4cIpS6I3aOgy7ZpJvWwhy6IH16pYBFFCb+SzNFvm3GINSYIoTtB1kRB8dD5I05Rbm0Pu7QwBWFuoUjAfpGnHScpCq5inBck08t7Ww9fnfu9Brd8ZuFxf79MZiDP0vZ0R24eTqYAD4Mb6k1M1QJxpdE1loVXACxNkWeJLz8+/52d3et+c4hQCd3dGBKHYN4cTn52cONQf+QRRgh+IlI71vTGmrkznH+26RfOYkVIQJfTHwoRq59BmY28s0nEewtG9t9+zp71FP0y5vztBV0RfoD/2CaME2w25uzPi9duH3Fjv4wUxNzZ6XLvXozP02DqYiJSxJCNOEclZEkRximVplCzhqjuyA1RFomBoFC2dds0kSVJkVWG+VUBVJA6HPn/6xi5RnDJxA+I8lUxVZJAF+XWxVaRoaqK/qou1T84JWX6Y4HoROx0bSZLZ7Tg5mVW4/C7OFjm/VGNjf4QfxMw3i3hBTKVs4AUxK3MV6mWDUlHnhfMtVuaE8dzh0GOuWUDXZIIwYbsz4d7uiKKp0aqZeEFEsyL6u5apkmXSsffYoTPwsN0Q34/Z7Trs99wpodfzY0bOx3/+O8VnD0fEyc9qr+7isiBOniZxfHrgB/FUwAEiqftp8aObHcZuLPg4skyaJozGAc+fbRFGYrogS4JgjCxRK+mkWQaSTJJkJ1IfwzhFUhSOvJNkCWYaFpsHEwYTcaYNo+QBz0cWovEkSdjcn6DIwkxymJ/9NVWmYulijw0TfvalxRPP/cb6QIjNZZmJE+D7sTiDyDJ+kLDfcwXPwYsIo4ShLRKikiTlsO9ieyIp9ODYHiXLglh9VHdcPdNktllElkSy2LsJEE/r/FN82lAqmfzal1cF38dUWWgVmeTpEGkGb9zuUCyoeGFMwVSZbRZP9rBSCaRM9NYkibF3tF5l7HVdCpaGqigYuoKqKkRxwkHfnfLxbC9i7ESAxK99cY2CqVIwVT53eZbeyOOg7zIYubx9t0eWIXocWcbd7RGeH005fL/y2jKWoaBpGl96YT6vA4TQyzJVJKTpGjByA4JIzC39MObejqgdsjQjihN+cKOT9y4D3rrbZWNvAnnG+Y9udnOBt+jTbOUchqO1QVflPHFUolTQ+dzlWfJ2LRdW6vTGYsZyVMcvzwrjynZdiNFcPxJmmzmXYeKKVHFZEqkXpi5E1u26hefH077mfs9lZAfc2xkxztM2OgOX+7sj/DA+MZvtjfwpp5H8uRmaQhAlKLIwifGDeHpumn5f/hqz7GjWE7Dfc0TSa/6arq/3f/KL8hTviWd5LzINlXbdQpJEkvV86+mEqZ8EfO+N3Uf+7c9ubXwMz+TDhRM/2bTmkwpRb6ZkqVibPD9+7x/6BML1Q+7tjE6kRj8tPpIkjn/1r/7VR/FrPlMo5g5vRwQOTRMHEfOYe2alpGPoVcY56aIzcLm23sfUFCZexEzNwA1j1EQmjlKSNOPNOxHdoUsQJSRJRqGqU7B02lWLvZ5DlmYkKRQNHS882bxrVXUmQUatZCBJEpdW6/zoZgc7dxYrWRppJhz1ZxpFDE3m+fOtvGASeP5skzARsea2G6PrItrY92MU5Sg+TSKKM0xd4fvXD1FkibEdMN8qMpwEGLqCoQmC6cMKUe0h515NlZlrFvlrv3Ce3sjj7s6I/aHN2AlZmSujyPIj7r+nOMXT4O72aCrMaNctrp5pnvj6467Jd4OmKPjHkmM0RURwS7nbHoiNLUtFBGCSZNhuREaKIkmULB1HimjlQ1I/jGnXLaolg7lGkThNub87Yn1vhK4o7HQn/PimTBim6JpKu2Yx3yyyMFPm7GKVO1sjwjDF9o8GLkK8FYQJb97roysKthfm6SIK9YrMxBFirMO+R5IPanRNIUMIWQaTAFmBZtXilYsz/PDWIWkCYZxgagqmoXFhpcp+zyPLBrx9t8tu18HQFUxd4dJqg8HY57/+aJP7uxPSDAqGwpmctHH8PS4XDV67OiecO8c+/UnIxv6YLANDUwVxvamCBPPNIofHhsTHH0tT5elBTAhRIn5865DOwENVZC6t1nnxQnvq/HF8rXb9CNsPub01xNAUrp5tPvY6UBWZy6uNd70+TvHx4cjlUpYEPycMEiJZIk6OWgKCH5WmGbc3RzTLh9zZGYko+vzkL8sSXhBTNDXIYOyEpFnGv/y9azhuxMbehFJBpVzQ8cMkj72UmGkU0FQZP4hRFSFADKKMOBH1wheem0FRnryXGZrCc2ebzDasE9f4TMPi1cuzFExR7JvXFJI0o1I06A49rp5pEsYJJUvD1FUUReKv/sJ5/uytPf7s7X0AlmdLfPH5eRGbmonXqKkKWZbhuDH1ioGuK9huhCILx9woSrC9iLOLVV69PDN9Pj+4vi8IUECjavLnv7Q6JUbFacrVM00urzaQZYkkSQHxmrMs49bWgHFOOp1rFmhWTF6/dYjtCgeietng+XNN3rzTo14xmLjRA7cLCUxd5aDvsnUoapaiqXIs/AMJOBy4U9eEX3h1iS88N/fg928OpgKO+VaRckETP5QdfQansc2fFRzdT64fE0Yxhq6QZE/fqIliUS8f/agigaErKKpMGCb0wgRVkXnt6iwgiJCSLETehwMPNz8AG5qCH8Z5pLJwx716tjGNEjd1BceTyEtwNFWenjs+LBz0RQpQloHj9VmeLT+Sqvfc2SbVks6//qObbB/Y/ODGAX/9Fy88MUHkvVAp6rx0sf1hPP1TnOInhhfEXLvfE0LBXETdHXqUChq2H6PIEkkqkaaiHn6MV8ETISEInZqmUCvpcMyVzg8TNvfHXLvfx1AVukOfv/CVM1OnLIDdjs12PsQYOyI6XJKkx561P2ostJ/etfAUp/gkwPEirq/3SdOMOEqIopQ4Z1MoskIlF1RlacpB32fkiLpaUSTSVAxUxznR7iidamP3Qd9h5Ei8dnmWc3kKlJLXy2LQmSEjT5MpZEXOkx/EIcYwFEqqIBsOJsG0Vs0yaLWK1IsGWZbx+u1DXF/0Jd6+2+cf/M0vTQdP//l7m1MzlO9f26daMgRZPU3Y7jjTuvf44PFhdAZCZA0gybC1P5nWLu2aRT13aNM1+YS7ZrNW4HwuWJckePlie9rT+/HNw+mZXZalDySW1lSZy2snz+RzTSE+PeopkvHIud58KOmocCy148ih7xSfXpQKGnEiTFsmToibp0OL+wLCNCNOU/b7HrI85MJynWoppDd0mdjRI2YfacYJMbcsiZ6aOAMLk5aCpSLLEnONAgVTY3GmRBAmzLeKwpwkF3KO3ZAkycR5XpYomBoXVhqcW6rx+s1D7u+N8XxxNl6eLfPqpRk28/tRUxUKhpobtqQEYczrtzuMnJDeyKc/Dnjt6hzPn2txZ2uYi7tC2nXrPWuIox5bFCf88MYh1aLOxAuJ44xWzSIjI47T6f19dHZ5EkxdIQgTWtUC7VqBv/Jz507UO6c4xSneHcf3MUWW0fOegCxLOF7I6zc73NoaMnFC5ttFnjvb5KWL7RN7tOtHXLsv6p8bG33iOEXXFOaaRX7lCyuP/b0FQ9QkIj1DpAyZhoKmySRJynAS8B+/s8GPbx6w07FJkpTrGxIFXUOSoJAngmdw4gxVMFQsXUVB4j984x5kwjROUxWaVUEOq5VNLENDlqFaNIiTlO0Dm2FOdArjLBfFSliGzOpCAzKRZJFkgng+dgImbshbd7pIsujjZFnGcBzQHbpIssRez+Gw79KqWQzGATuHDrYjzH62jAkXluuUTI2zi9UpmV1RJF69NDOtvdIsY3N/QrumstO1Oeh57PZsTM3n7FKVldkyF1bqJElGEJ48TyqyxPahPTUZ0zSZ9kPJKe81rzrFKX4a2DgScXxGDRvOL9cAOOy7DCeBMM86xTONI47L0Rr8QdZW01Cme6uiSMw3S3zuygzVkomSn3ElhMHTi+ebtGtFbm4M2DmcTBO+QeyrqiQRRwm6Jlzq61WTwSTAC2KO9JWyBG4QY5k6GRlFU2PzwGbiRiiKcPKXZVnM41Ixm6gZBl95aWF6Tj5CGCUc9l1GdkiUZPlsTcILRErAxIuJklQYK6oypq4iSXBxpS5+Lp+t1SvmCXMbTVVO8C6SNOPavR6uH3PtXo/V+QqzT5kafopTPKv4xc+t8IufE3X1n/xoix/d6k6/pmkKnp9QMDT8MGG3M2Gv5057WBkZuirO1RIJZA8I5qoisTxThnxcH0QRN++PSDPRC1ueLaPnPT7LVLl6tsnzeZ9rv+vwe9+8j5cLwhVZcIHIMqJYcIo2DiaQiXXtuTMN/uLPnAXEmnJjfcBMXawnSZqSpCnykQghyXgrT/GQZTHDTDOQZJkkAccLp+I5TZU4TvkzNZk4SXNBXPaI6KtY0Fg7JiSVJIkLeR9DAjpDb2o2WSro/PyrD5KHBhNfiDBzk5x6xeAwN5gtFTQurzamQveJG3JwzMTC9kJ+/9vCzFtRJM4tVrm1OQTE2WapXeDIp/3h9KGMDD9MMDSFOEkZOiFv3e2SZUep0I0TxjF3d0ZTw1lZlk68pvJpv+QU7wElN35ZnhXJFc+iHmV2+dEkji9fXP0YnsmHi3rx2eM3B0FClknCnCiF5H3bnn5yMLID/tOfbRDGwqTt515Zmt4fT4OPpfuSJAm/+7u/y9//+3+f3/iN3+Af/IN/wO/+7u8Sx8+mmubjwK98fpnVuQpzzQLPnW1ybqnG8myJFy/MEMYptzYHqLJEnCSszVVYnimz33OxDBH9q8riQFQ0FBRJDHLrVRPXj/CDKHekEy79miwxdgPRMEVCVYQS9Pg6rMpQLhdpV63cqV/D8RKqJR1dVzA0iFLhtF8uCOXt8myJgqVRK+lkWcbSTIkXL7RYmS3j+hETN2CuUeTKmQZuEFEt6qK40BVmGhauLxT4QSgEHn6UEEYxSZoxdgK2DybsdmyGk4DDgYsfxBRMjdX5CqYhHMDXjhG/DvserhflBFOZOMmYyeObT3GKD4I4SemNvKlD5eGx1I0jLLZLNComhq4IYnH13a+3M4sVygUd01BYm69gGipfen6eSkmnUTFZW6gw1yximSpyfm9bhspCu0SjalIt6XzxuVkW2iVMQ6FoqXlyDRz0HXYObe5sD/GDhLETEgQJO12HZtWkXjFwvYiVuTJXzzR5/dYhvZGHZcho6tFBTghL0iRlNPFp1EyaFZMsyzB1mbPzVV67OotpaJiGwspsmVrZFC66uoqmSMw0LCxdpVLSKRc1VmZKyFKGKguhSm/kcXdrKFKDgpiJF2J7IUHuprexN+buzpCxE6EqEqosGmReEKNrCnGasnUwIYoT5ppFrqw1qJZ0DF0R65Kh0R16fPn5OZpVi1JB43OXZ6iVTdbmK1RK4v1fydMLAM4t1SgVxGs6t1hlaAcM7WB6HXSG3oMUIIRA5dXLM5QKIgXocn7wC6KEsfPxRZwlSUpn4P1E6tDPKhZbBYyjISZQtGTKRZlcZwGIP/0wFqk1aUazajC2Q5baRdbmyqiKQqtq0chJSW/f6/FH39ugP/QYuwGKItwsdE1hZa5EGKcUTTVP0ZFpVEy8IOHCSpWSJVxyRaNEIkkzukOP3sibOmM8/Hm3agVevCAaK0VLNFr8MGauVcA0FL74/DyzjQJBELHQsuiPPBZbRcIoQZYkvvjcHDJMUzcAtg5sZFnmyy/MI0siRebLz8+SIZo55YLO5y63MXSZgqlzfrFCvWpSr+i8eE48lyBKOMzdN/d7DjuHE7YPJ9zeGjBxQ7EmbI+m5JYoSvjxzQPubA2YOAHbhzbdY+KUw4HHxItQFRlVkUjSlDBOyQBDEw2bCyt1GhWDUkHjylqd/b4DknAziuOUUkFjp+tO0zqaNZN2zcTUFdo1k1b9wcHPD5OpgEP8fpda2eRz+RrQrFp85cX3dgF9HLIsozcSn+vD+8spPpn4G794kXbNQpZFRHijZBLHyWMT5B6H3DTyiGt5zHlKwtBVZmsGUZSQpBlXz9Sp5nvW5bUGF5brPH+uyWK7xMWVGueXqqzMV6iUjKNHFXvWwONwIBxffvalRWYaBZZmyrxwvsVMvcjZJwgnRraouZ/G2Rrg7vbwgXuOE/DGrc4jCVYAb93pEidH61fGm7c7T/V7TnGKTyr6Y58kyXjubIv5VpEgiqmVDS6tNFhqF8kQrlAFQ8n3rff/2IoEui6jSBlIEj/z4jyVok6jarIyW2av4+Yu+wmOF08T6Y5wOBBDhCzL2O+7xxx4HzhJneIUp3g69EYenh8xtAPCJOW5sw0KhkrRVPnzX1pmvmGhqzIL7RIlUyWKU5IkxXFDIerKCYC9iU8QJoRxQhjHIhmXDENV6PQdvvXGDm/ePuQLV9rTNKszi2Uun22gyFApaPyVr65RslR0VebKmTpFU8PzI9I0o1rQBRFEEmf0pWYR24soWhppbr6SZWLv3twbcn29x+b+iP1jjqI31vv0xwFbh2O2D238QAjTNFViMBbExsOBMJKJk5TDgTvt4d3eGvDDm/vc3uiz33PpDj1GTjBNE/LDmM9dnuHFC20KlsZcs8ivf2WNUkHDMlTOLlZJkozDgajZL6zUKVoalqlyfql2YtAZxyl3tgbc2Ro8kvh3dI7qj/13rdc6Q28qenn4XP+l5+dp10Vv4aWLbdr1TyaJ5KgOHExO+wEfJl66MMPafAUpF11XSmIYnuTpGZqaGx2kGX4QsdezubMzxvFjkjRFOzZ7kyUhRi4YMromYRkKC01hzGJoCpqmECcZUSpEI7e2Bth5SmdGhmkoDCY+jhfgegFpklEpmRQMYbRQLekstkts7Y8pmholQ5CnlmZKXFiusdd1sP2IgqkSxQm2G1EsaMy3xPrQG3lUizqqIglRE0wFLEfoDDwmjrj3XV/8THd48jx71GNz/QhTV1AUmU7f46DnEMUpEhLzbeG626iafCVPwHwSfvalRRpVk6KlcnGlflrDnOIUT4nLq3XOLVYpWBovnGty5UwTy1A5t1RlMBY9cMeLSLOMiRPSG4qUW3jQJ9jvPZiL7Pcc3KN0wJ4z/V7Xj6ZrAwiTuj/3pVUqRZ2FVom/9gvnWZwpUS5onFmo0KiYDEY+ux1hPidJEmGQoKoyqqrgBzErsyVUVcw0LV0YtsmyRKteoFE1mTghfhBBlrG+O2K2UaBc0ugNPZoVg3rZmAo3TEOkckRRgmWKOauhCiFKrSQSjSVJ4sJyjYyMlbky9bLJ5bUGtZKBosi0ahYFS+Vg4KEpMiM7YOdwwrfe3OHtOx02D0R/M4oTuiOfZtUkjFOWZ0oUTBVdk6mXTVFH5v3Sy6sN5lpFipaGoSg0qiaL7RJeKOanl9caJHkvJU0zKkVtOsdYni3TrFpomkzBVDF0ldX58rSXtDxbPiVxneJjwZH549pnNInjKH0U4PbW4xO8T/FsQVNlzi/VsAwxzzsyH3gYrh9yfb03TaI6jv/2Vy5ybrFGvWww3yzQrhc4v1AjjlPmmxaGJiMrErWSweWVBkVTQ5Ylwig9keYNTN304yShYMiEQUQSp1On+SOYqkLJVNg5tInThFbVYqFdRFOFI//ZxSrNmoWpi8eqlw0sXRO8nDBm7IRsHoxJEpEanqQZzWqBStFEU3KfsyzDMhQUCbYOJ2wdTKYGFpsHY+IkYa9j0xm4WLr8rnMwO+cNADh+xK3N/lPPKk5xik8S/CCe9rWeBj//6jJffG6OgqnSrpn81Z8/y63NHn/0/XWur3e5uz2il6fWDe2AuYZFEieEYczKbIVLq3XSNEUGfu1LK5xbrpFlGbWySPjMyAjCmCyFW5sPUhs8P57W9gAjN0RXFcIwIUszLFPUoYoiUzBUZhsWaZoxtH10VaE3etBLG058ipYQZysy1MsGxYIq0jMkaLeKDCc+W4djhhOfy2fEXN8yVS4sV2lXTRQZJDLmGgV+4bUlKkWRVPc3fuUiyzNlZFn0WF44e9KEd22+ItL0wpj5dhHHe8BjdbwoN5YSptPLMydNpjoDDzfv+zp+xL2dMbYbTlMv/PDBY5ULOsuzZUxDoVoSCX3JsRnoD64dTL/X9SIsU5iEhHHCmcXqCfGJhES5qOcJyhquG03nrnGS0j/W60uSdCrgACEmWZ4tY+XPY2WuzGDsc329R2fwQGTyfnF0ThmfJvp9apGkGZapMLT93LDy2TMr1aJH6fKbh6OP4Zl8uPCiZ09RY5kqyJBkGbIioUrP3vW0uT8mzGvOLIM728MP9Dgf+Svv9/v8zb/5N7l27RqqqlKr1RgOh/ybf/Nv+Bf/4l/wz//5P6fROHUafy9Yls5/9+cuPfLvaZryH7+zQX/kM5j4lAoaCy0R37U0U+LO9pAsBUmSmW0U2Ou6lIoKQZBg2xH9sUcQi908I6Ne1tnuumiZRBCl1AyVLIVCQRNq/CzD0FUMTeFXv7jC67c6hEHC/sChWtYJooR6Sac38pGISRThov/c2Sbru2N+dO0A24v53JUZCqaG7YlC1DJEzOHICRlMfBRZployKBd0rp5t8L139hn6ojlcKmgoiMLN1DVcL+L21pAwTkmB3tBjZa6Mph45jRceq7p3vGjqMqooEi+ca1IrP6q+O8Up3i9kSWK/5zLJDyt+aJxwiAAhLjhyVXk/MHWVK2dOrpETN2KhVWKhVSKIElRFYjgJ6AxdJEkiSlJevjCTO0ip7HUdukOXO1tDgighjFJubw8wdRXHjZh4EZ4fiQZOmlIqGCKWdEY09b/68iLX7vc5HHis748JYuHIZeoSsgRRkhLEGff3JkiSTLmoc3axgqoo2H7MSs3iV7+wwsb+GDV3v8wy0TQCiGLhxB9FKUGUoqoKrXqBva7NyAnxcnKqZWmEUcJgFOAHMSDhBmLYk6ZiuG0ZQmRRK2lcWKlxZ3tEd+BNByqvXp7h0mqDiyt1fnyzMyWBa6pMrWLy619ZO/Fe65ry2DQMy1BPuH3YXoSmyETRg8fTH3Iuv3qmydUzTe7vjugcI5jr2sejjk3TjGvr/Wk82Wyz8JmNq/4gKBUNigWdQib2E9tLMU2FclFnpl7k/u4IVRGxxW6ciJhhN+KVi22M3FWmVjJY3x+jqTL3d0ciQjhNuL01pGhpeL4gdc42CgztgIKp4XgxsiyGkf2xz/mlGkkKZxaqmLqKljv83NjoY+fRqcNqwJmF6iOf92K7RJYKd5v+2OetO12aFUskdZxrstsRzmyHlsp33tmnZGq4fsy5pRrnl2v4YYKiSOi6aMiAcP3RFAk/TKZrXbtusdgu8cbtDlkGUQQXlxvMNApsH9qszpVRFeFOEUYJ79zrEccpb97uMLKFM8+93TEXlqrc2BhStrRcwCmaDG/e7ZBlEjc3xIDjubNNtg4nLLVLombRFQqWRikXnWqqgq7JaIpMqaizMlvG1FUaVZOZRoH/+K11wjgRbhf5WrV9YLPfsRnZIReWaxRNnefOPnDQLZoPBpyqItyIjprLRn6PX1lrcmXtZGPoaXFnezh1EqmUvNO0nmcASZbx868uoyoKI9vnzs4IP0hI0/cmEimSEIh5QUqccMKHIM0yDE1m4qXMNMQ11h+H/PpXTl4Ti+0Sr109KRraOphM3bCTNGVjbzzdi5ZmS/yFr5x5z+e213Wmw6VdTeb5cy3Ud4ksP44jF9zBxMf1Y4Z2wI31PlfPNE7EyVbLJ4kDpy50p/i04Ghf0FWFr7ywgKbJvH2nS3foUS4aLLaE635/7BOE71+wJyEc7A1FnSb1JCmcWaxyfkkQMTf2xzARQlNZlh4h6BiaShiFSJKEpsjT+1pRTjo9neIUp3j/iJMHLnOQcXG1wc+8tASIIdcLF2ZFOq0f8P/+jzenAsY4yYiTDCU3HQmCGPvoPC0JMaeBONd9/8YBiiJavo2ywQvnjurUjGpRp5WbRzQqJn/zr7wIwDv3OvznrS2RKpiElC2d5/Kfi5OUsRNRsjTcICYWhv9IQBinfOP1XSRJJs0ywjjFzNe1OE15/fYhZOIxNFURTXnA1BSu3xeD3qNk0aN6+dtv7nAzd5qDDNNQ0fJkwQyRxGPqKocDj5fOt3j10oP0vnrex/OCmLfv9cRjSnBhucZzZx9fe//xDzenrnjre5OpI3iWZdw8do5q1SzOLj5ezGo8dI4/fq4vFXR+7Utrj/25TwqSNOP6/f6U8DLfKn4gt6hTPB6/+oVVamWTu9tDvvv2vkiplCSQwdRlkGRUVcYNEjoDj92OI5wXZVBUlaohk+U9+EpRJ4oS1hYqPHeuRRQJ45DvXdujP/JJ0owwSnk76DPfLDCcBLx9t8fnL8+ydTjh9tYQx4voj1MMVWVlocxiu4TjR8zUC3z9h1t4foQkScRJxtJMmYKp4QcJBVPl+nof14/JgKHts9dxOBy66KqCrqm4vkgXnaaISyLtb2q6ECdc3+hDBvt9h3rJwNBVOgNv2u886rHNNgocDDyCMBFk5DSjM3RpVS2eO9N839dovWLy57+0xrX7wpX39taQ2UbhM+vufYpTPC1kWebLTxBLOV6EpirT+1xVRHqnoSns9xw290WfwPEjDE18n66peRKYSNfQdZWxE3Jzoy/M4yS4cqZJydJ46cIML12YOfE7J27I9ft9oihhv+8QJylJmqGqMkVLEFaDMMELEiRZYrFdJggT/DBGloFM1ByDSZiTShOyLMI0FL5/7YDZRoGRHdAZelMnW02Vub01pJQ/fjXvKUqKxOpMCV1X6Q195luiRlnKU8zHKyF//INNVFnm1tYATVMYTUIqRT1PJe1zd1skDux2HAqmgmWIM1nB1OiPfTFbleDSaoP1vRHdoSfEL15ELU8xffFci5lGgd/95j0GuUlAq2pxYan2SKJTpWgw3xKOxl4Q0xl61PP+SskSfdJLp/3FU3yM8INYGCrx2U3iAHF+2T60ub015LWrcx/30znFh4B6xZymSj4Orh/zB99exwvEbO2lCy1eOP8gSfriSoP/2/9GrM9f/+EW93dG/NfXdwjCBENTmW+X0FRh9qZrCn/6xh6HfRcviIWgXJVJ05Q0FTV5kgsg/TBDVyHOsgdJIYqEoSs0qhZ+KJzvR+OQmUaBS6uN6b4xmAQc9B0aFZM4Ef2A7769x06nLNIBJXjjdpe9jkOUpOiqjK4pzLeKHPRdgjhFOjovpNnUDHH70KZVM+mPPb7z9gFjVyQXp2nGL732ZJdsPVeG9Ee+SDm2NK7d6/Pcueb7nlWc4hSfFHhBzDsP9bXqT8Fd+z/99Zem//1737zL731rnSyDa/f6vHiuPVVsbeyP2T6wSfKUuY39CfWySb0ieocbexMuLDen9eHhwGHiRGRAlATox8nb0sl+mKFAd+yRZBlJlGAlyYlkTl3XprPJ+3sjmtUHr09TFRRFmhpfpllKmoh+AYA9CfjRzcPp+eHlC23+ys+dn/78D2/uT7l+GfDLr67wF758DhDGtne2R1TzWvr4HBLEGpJmgpfVG3pIskSW9yx1TUEGFtuiH/HwaNcPYrYPBOdQliUKpvqAn2ErJ3qYIPpvR7V5nPSA8fRr1bJxIkXP85PpWnbQc2iUjelzN3SFds2iXbPy13QyjfB431KWJVRVnhrZFAyVtfnKMfFsxn/8zroQlEjw80/hKB/FCW/nvA4QgpiZ00SkTx3SLOPO9oggFOZwux37kWv7k44LS4+eM1ZmHt/3f5Yw33j2OM4TNyRNMiTIOaLPngD34cTnUm4G/rT4yEUcv/mbv8n9+/f5J//kn/Drv/7rKIpCkiT8/u//Pv/wH/5DfvM3f5N//I//8Uf9tJ4pdIceUZzSrJoniiA/jNnYG7NzaGMZYmgynASQSYRRwupcmVHuirM0U6JVt5i4wmHP1BWKBVW4+0rkkWViAFu2hKJTk2HsBhRNnWpBxfVU4iQVCQKNAs2qyVy9yPr+CE1VGNkBcga9cUCWCAdQXRNu+BM3RJJhp+egSIJwbuoqe12b4Thgr+cgZRmDscd+z4ZM4qDvEMZiE5AliSBOaFZNMkSk8ZW1OmGUYnsyvZFPvWIwzh1C/TBBkWWGk2Ba2D0MUxdkWxHHLrPbdVAV+bHx6mmacntzhB/FnFusnkawn+KxSLOMWsUgyav3alHn3u6QsR1OXY7eD2w35O7OCFNTubBS5c72iIkbUivplItGnvYREEQiDvtomFAuCPc7TROE5VrZoDv02DmccH9vzNgOyBBkif4ooF0XTZIkSaYEipKlcnaxgutHBGFMraTx9t0eI8cX93g+cM5ShTRNSfL4cUOTIYODgctzZ5s0axb3d0eC3J43W84uVNnp2BQtjZ95cY67O2OCSJDAx65YJ9I0Q1MULF1Fz3MOi6ZGuaCx2C6iqjKzzQIZwsWjVNQxNJWiqfHyhRm2DidIksTPv7oISExyxXeSpqzvjWhUTM4uVpFliYurde7vjBg5AXPNAlkmGlhRnNIdeiiKRLtmPXKQexyWZsoEQcL9vREFUwjXzCcokFdmy2SZOIy3a9bH5m7lh/GU0A/QG/mnIo6nwPJclVpJpzv0UBWJkqVSr5rC8cBSqZcNJCkTTZBMrA+lgkqpoFMrGfTGPvWKSasuXCfu744wdIXRJMIyVdTcOeGogVG0NNJU7MHDiS9cK0yNKBHpHEmaUTCFI8X3rx0wnATTBnF/7DPXLJ74vDf3xsIZxw0xNIWJE3JnZ4ilK1xaa7C2UKGXuzJ4QSwIW1FKFKcMJwGDiU+SpsQp/OKrS/zwxiGSBK9emiGIEkZ2wNgOkWSJjb0R96omzaqoQyZuSNFUcbyIWklHlqBRNVmdqzCyg+lBX5DEYrIMygUN10+YOCFZlrHQKglHTgn8IGHiBrh+TMkyeO4MzDWLZEjUygaVoobthlxerfPDm4fUywZr82Uy4MXzbVRFQtcUSpbGm7c69EY+jh8CKZkkBDNFSydKMsw04/bmkOXZEjMNC8eLqRT1aYrXKHfaWGwXGU6EA+rKh0SGStNsKuAAGNvhdGB+ik8uemNBEHzhXJM//O662OdUmTACeHchR5JBFAvy9BGh8whpCpaep+25IRIwGHus743QNYVG2TwRlXsci+0SST4kURWJkf3AHaU38llolR77c8dx3F03jFImbvi+G8ovnmsRBDGv3w5ZmRWJYo4XEYQJuiZPa+6XL7QZTUJ2Dm3mWkV+9qV3d9w9xbMN2w0ZuyElS6dS/HSftVo1iyBKGE4CSgWNSkFnY2/Era0Bei4s1jRZpGk9xeNqCsj5mb5RNShbGtuHEyxDpVP0OLtYYWj7BGFMpWhw9UzjkWb82aUqG3tj4iTlq68sCvekTDhyPyxOP8UpTvH+oMgSlqEymoRUyzozDYvXbxwgyzKvXJlh79Bh4kUYmsRMvcDGwQRFllhsWkSphOtHNKsmzarJQc8VyY5Lddb3RwRRgmUqOAFkaYaswNAJmWsVieMUy1SJ45SDvku1qFMqPGgm215MwdIIQ+FgvTpfolrUiZKUpXYJJz87pGnG6lyJu9sTIGNtpsLYicR53NI4s1AlzUBRoFrS2Ni3ieI0r5FNbm+NMHWVz11+IIB2vJAwTqdExL2ei6ZIZAjnOUNTMDSRNCgfWwiDMMHx48fuE8NJ8MChMxMD2MfVJmEYs3vosNMVJNM4Fil9uioTRMl00AoiRaVRMXEDQZosmA/ev4fP9bqmsNu1MTTlffd+ngZpmtEZipTFds064b73QeD50VTAAeK1noo4HoXjRYycgKKpTYf97weyLJLJ+yOPMIqQZSGMlCWJVt0kilNqZYOBHeTp1hFpGqOpMkZuCmIZGkkizrwrcxUURSTauH7IbschTUS6pIRImwzCmDjJmLgho0lAf+IL86JMJOgmGRiGQqtaIAgTipZwW7yzPUBCEj+fZijyETFbQpZFOncQxvihEHUA2E5EsQDPnWmysTemUTH5mbxWl2WJc0tV3rnbA1kIsR0vZq9n8/bdHgvNIpdWG0zckDBKTsw6KkWDswtV3rrb5dxSDRmRdFMp6QwnPrIsMd8svq+axA9j3Id7Xh8TMTSIEnoj76e2PpziFD9N9EYeu12bkiVcYxdaJcIoQVNlxk7AYrvE5bUGvbHPD67vM7JDdFVmplGgUtKRkPilzy+x17Vx/YSzCxWCMGYw9qckoyyDwdh/4tC7XNBZna+wfTihXDQE0bljo6kKv/jqAtfuD+iOhJAhTTJKJQ3bC8nIyDKJkiXcgxVZplUz2DywkSVRnw0nPn4Y4foxtitIrwVDoVI2IM0YTHyqJSM3bFKpFDXqFUsI4ZoWui4zmPiYuoLjx0yckDCMORwI0YUbRHkiucJ8s8h339lDlSUURcpfu0QUi/dTVSQcL8IPEyxDZbdj0x/5+GFCGMV0Bh7ZbJlq0aA38plpFPjqy4t8+61dJm7EheUauq6SZbDQLjKyQ0oF7YTBnWWonFusctAXYrzV+dO9/xQfPzYPJmSZMLz6LBu4XFyp8/UfbnNr8zSJ49OOMErojXz2evZUwAGwsT85IeI4jq2DMbtdW/CAEEmbVl7bt+oWcSJS/oIoRlYkNFUmjjNkSfQL4/ysLHFk7CKjyRJRlqHKEkVLo16y0DQhsCgXdcJYkOrOLlTQVNGnlCWoFHTiWOyRsSTcHiZuSBQnhFFCECZIMhALE4jZRhHXC1EVibNLNUbjYFrXzzQKHPRs3rrb4exildW5CnGakpHh+CH7PdjaH7P8hNn1UV9i59CmXNBp163puf6zvJ6c4tnE++1rvR+8fa+HLEmkCBPUrcMJF1frpEmGZar4UZJ/XYi5nCDCdkWa7n7POSEKNnWVYkFj4oTUKiaXVmtMnIiJG/DyhfYJLl6QiHl/f+gjKxKrsxWeP9difXdMu26hqwp3d0ZESYqlK5QLKhv7Nq4f8uUX5lidq/CD6wcoskS7bmEYCrYd5WmjghMVRCmGJlOwVJpVkyBKaNUsHC/i1lafNIG1hQpjN+Ctt/YxDZkzcxXKlkZn6OdpdwpbBxN6I4/5VoneyGfsBERJSqVgsDZfEWZYmRCYHiVtqIpMwXzU1KVS1AmjlHJBE7yinD/VqIjnN5gEoh9Usxg7Aet7Yyo533H7YML63oi1+SpffWWB7187wPFjzixUmDghQzskSzOSVPQvj8QZ1ZLBylyZ3ki8pqWZMrsdG9uLqJeNE70HSZK4tFIXxnwSLM+U2e1M+LO396iVTObbhWkiCBls7I3fd49w7IQnUo6Pzimn+HTBdiNUCXpuiK4pz2Tq1XdvdB/5t2vbHa4uPb72elYwdOP3/qZPGCREWnWKSF56FhOUzyxU86RVm3rF5JWLH0zU9JGLOL7+9a/zd/7O3+Ev/aW/NP03RVH42te+Rq/X45/+03/6UT+lZwqb+2P2eyKyar/n8MJ54XIbRgnX7vXx8mjCOE7xg5gkyzjsu4zdEMgoWjovX5rh9uYQVVGI44xKQSOTxMZuGBpxGqHIYjDz3Jk237txQBKluGGKpgrXf8vUaFRMZEkQqE1doVWzuHKmQZoJB19ZEt/bqJrTJuSRY5iuyhz2PaIoIYxTXrkoXp+pK/z4VmcasdiumdhuTG/sYxkaQzvg6hlRUARRghfErM1XmW8VWZqp0hm4RHGGqau4XsxiS8ENY7R8mPkkAQdAqagzn5PGdro2vaGH7UVcWWs8Qqr+7tv701j4O1sDvvazZ0+qjE9xCgQ5o1LQsfJrY7/vsJG7T11f7/PrX157z7SXMIz5w+9sTCPG/+ztXRRZ4nDgocjw+atzdAYuthvRGXqEccpMzUKWJZpVi1rZoGhpvHyhzW7XYa/rcG93LAhbeTSqrsrCnTd38VRkhVjK0DSFNBPu2kVL4+bmgI0Dm8adHnEi3DqGdkgcZxi6jB9CGqekaUYYZ1iGykKrCBLiAKTKjN2QrQObrQObF863OLdYA8ALIl4432Jjb8LEC+mOPOI4zYVUGuWihqrIjL2QSkGnWtJ5/mw7F1yJA4iVEyjk3En4+fMt/tovXZi+l7sdGz2PUu8OPKplg/2eQ0bGheU6lq6Qphm6qrDfc8kyWJ4tc329h583ziZOyLknxNw+/NlfXK1zcbX+3t+ryE908/wocRQnf9QQKLzLenmKR+F4IWEkkmsGY1+4ymgqZxcs/vdfe47/8d+/RRAKMYPrRyzOlDnouWSI6/XsQvVEys7NjT63NocEUYqmKDx/roUfxNRKolmw03HQVAU/TNBzQpPjR6iyTMHQqFUM4jjl+nqfsRNy2Pd4/lyTRkUQuXXtwec9mPg4XoQsS2wfTlieLfPW3Q67HQdNU7i3O+blc20sUyWyQzRVIYpS4Qg3iZm4AZ2B2DNfkyXa9QJ//str09cSxSl7XQfXj9k5nLDXc5lrFpi4ET/z4jx+GLPbtamXTWRF4ssvzE/XRtNQ80xl4USUJEJcNXZCNEXOCV2iQTHXKvLiuSb/9o9vi1ooSZk4EYoiU8xTj+IkZX13TBynfP/6AZWiju1F3N+bcHm1QRQnXF5tTd0COwOXd+53KZgqXpAyUzM5s1RjZIeYhsJux8HMGzRFSzvh7tsbedzdFrWCJIn0neIHVF0/DrIs3JCCPPVEU+VTV/RnAJahMrZDKiWDF8+3ORx4BFFCmmXI5ASvlCcStb0wnQ5XjruoWLqCosj0JyGqEoEEjh/zzdd3mWsWqFdMXjjXemzakyxLrOUEJj+Ieetud/rY71Y7H4epK1OnLEniicLFx0FVhatnpWRMH0PJh0vffmuP9V3hPHN3a8hf+tkzpzX3ZwATN+T6en96I1xYeTqXqWcRi+0Si+0S/bHPj28dcntzSBRlSIhkupKlP3lheAIkSdzDc80i1ZLBxI1QFYXu0MMyRe2gKQovXZjBNJQTiVJHMDTlhDvWwqPfcopTnOIpEScZnh8LkxM/5j/8yT3CPMHx3u6ISlEQC+IoZK/nTAW6nXFAq1qgUjQI4wTbi2jm7moTJ6BcNCkDfhiR+RGyrJBloKuCdK0ogly5c2gjyzL9XAx8JNZsVk1qpQcObrWSyauXZwHoT0StL0kSsiQxGEeUc+HETs9BU2VAojP0eOlCiy+/uAjAj28eMrLF3p6kKSMnYmlGDP32+z5LM6I2PjqLHqFZNelmR+9XwkKrNHXe0/UHYoWjevhxeLiGeVJNo6oy1zfEmQnAcWN0VZ4+r+MJAmGUTElUO4c2z51tToUcx8/1cZLy1p3udODg+vGHLoi4vTWYCm97I/+JKSPvF4Z+sh/wfmvAzxJcP+La/d60Tj63VH1fBPzB2Od3vnmPN2/32OvaREmGnIpBe6Wk80uvrRBFKbIs8aPrh8LYxBFD0HJRB0kWwi87wDTE9b7btZlvldjYG3PYdxk6IqE2jVNh1iILQ5LBxEeWLSHwngSUCxqGJlI/skwQCK6eaZBlMLJDFlolCqbGYCxIwkfXw/JsGdNQ2TqYsHkwIY4TygUd7yiBU5PRVZl6WaRZvnShna8LAtuHNmr+95Edst2xeftul/7Ipz/2kRSJ586edMdN04zr6z1URebMQhUviJlvFtnrOgwmAW/c7qJrCs+fb3L1fSRc6ppw8TwiIhy9lx814iTl2r3eT3V9OMUpflo4HLh8+81dbFfUBJdXfV69PMPZxRpn8x4/CJLPn76+w52tIYdDl5lagd2Ow3//F67QrgsCz+pchZubA4JI9C6bD533jkRiT8Jso0CjYrBzaDN2TM4u1ihaKr/2pTUUZYPr6312OzZxKsRvs/UC/Ymfzy1SVubKaKrCjfU+mqocS+QQf469kCzJkGUIwpQ4EzI5TREmda1amaWZMqae92Zz86n722M0Teag7/L96wc8d6bJ9Y0B2wc2fiSMaTRVoVo0sEyVldky95IJWZaRZYKMVVBFbTF2QiG+y1G2VHY6DlmWsd9zQBLzVseLmMvde6slg1/74hqv3+5MyVOmIUhcS0/gEDSr1qmg7BSfKKzviT7gZ11UdCFPNb+1OZwazp3i04c4SXknrw1tN2TkBFTznsC7mdrs91z2ey79iU+WQlQzWZ6rsDxbplY2GDsh6ZGhXJ6+oakSiirjBwmyIk8NXVVFAukoRV6laAlByPxMCVkW5wjHjwmjlJXZCr2xP01yNHQFL4zxvZg0zRjbPq2qiaEp6JqCZSjIkugHIImUvrEbUC+bTLyYKExYm69wcbVOuaBz7X6PH9/qAGIfTJKUNMmIY9EfzbKQP3l9h1/+vMz8Q8ZTx5PCtfxsoipyPqv4eGr/U5ziJ8Ejfa33qI/fDYvtEtfXBxzdCbPNAo2j+lsS9WKS5sTfLKE/8skyse/0xuGJx5KRkJCoFA3SJOPWxmD6vd+7dkC7XpzW8rWSjirLNPJa09AVfuULD9J0vn9tn94xg7g37/Q4HAgjvN/75n0GTjjtme52bXw/Qc4FHBnZtIcKoqY9zuE5rLsULdHXTLKM/89/vo3ridd4uznKEwJFz+/+7mhqZPnOvZ4w2cj7piM7xDKUab+iO/Solozp737Y7Lloacw1i9O/K7I0FZFJEtzbGR17TQ43NvrTuv3OdoHOyKNo6XRGHv1RwM+/ujx9rD/49v3p83T8+BFOwFyzeOJ3v5txRdHSuLwmeCljO+T3v72OHybsdV2Gto8sPejPVEvv32TNOsbrgJ/suj3FJxe6KrPXF9zcIEqnc4ZnCa+cffT+eNYFHACFZ7DmcYMkNyYSpqXpwxFHzwhevjjDyx9QvHGEj3zFzLKMCxcuPPZrFy9eJMuekpnwKYXthvTHPqahMlN/oEzsj4XbdZxkVIo6jhdRzQlPcZKiKTJXzzS4uzOiUjIoWSrDSUCjYpAhYRoKvZGHqSuossTSTAkviKmVdZpVi/NLVe7ujEgSuLBcZWGmiHlHoesJ4UiGjETGxAl44YU5tjsOsiSINfsdl1ubfa7f76OqEqSIYWecsjxTwvUjVubK/Ld/7hKv3zoU6tAkoVrUcMOYWtlA1xSKlkqWCTcAx4tAkoiTlDhOKFoqr9/qkmYZSZKiawqDiYehy7xx+5A4SWlVLZZmSmQIZ7IzCxKKIlMrv7trx/JsGUmC9d0x880ihq7SH3l840fbnF+qc2ntAXnlKNYNwAsSemP/kcPiT4I0zdjvOzlZVfy9UbU+cOTOKT4eSJLE5bUGO4c2SNAbifsozTIm45DvvXPA+eUaJUujXT+Z8NAf+9huSBAlUwEHiCFIs2oydh645cdxiu1FdIcemirRG0kYmoKmCYHXxZUaQZSgKTL1so6mipQOyxAunK26xdJMGduNcP0Ix4vojUTyhKEpjJwAJ4gIowTPj8myjDhJKVmaiBSP46lLVMnUwBKxgM2qwZ/7wjJxKpEmGUEUY2oyUSwSQ25s9FBlhVJB4+ULLTRVxdAV5tt1ekOPsRNSLmq0dZM0hXpZZ2gHaKrKxZU6b9/t5okHOobuY+TEkYO+yysXi6zNV9jvOURxSrtmMd8q8vKlFne2hiBJLLVL6JoydSrxgvhENNf63pggihmMHyT4bB5M0FSZasl4KtfFp8XG3pj9nsNMo8CZhY9G4KGpMpdX6+x2BQlnaebDW9M+C/DDBEWRcZ0QTQHbC+kMXNq1Oj+61eFLz89xb2dMuaDRrApn1lrZoFrUadUslmfF+z0Y+9zeHpKlGUVTRVUkLq3UCIOEuWaBz12aJUMcvKM4ZbFdJElSkCRm5QLlos5Ll1rc2hhwPx947HVsDF0liGKaVZOl2TKaKnNptc5e18F2w9xtLqBeEntxGKdomkyaRypv7I955fIsb9zpoMgyc60C+10XXZGZbRQoFTQMXWV9d0Szap1I/eiPPHRNZmyLQ1ycJCJVLEq4tTWgUjSYOCFJmrE2VyFJH9SCJUtjrllgfXdMuWgAEkmWYWoy250JZxdr0z2/ZGnc2R6KZrQiocgy5aJG0VRp1Qs0KuaUdDV2QxwvIoqFE9BwEtDMY6Zvbg7oDT0sQ7jVFUyVIIxpVU0qJYNq0eC1KzNYhsZoEpJl0Bl6xEmau+WJw9HxNIMwSrmx3me+VWS2WfzQxBaXVutTN9XFmdLpMOcTiihO2O+5yLLEQrPIt17f4XDgceVMnefPtXjrble46moSUZSJocm7HIkyhBOBLsv4UYquCqdrWZao5IlAiixRLggX3+1DG11TmLghzapFZ+DhBRGNivlIg9E0VC4s1zkciKh1VZYY2cF77nlr8xVURThWt+sWcZKyuT+mYGq0coKp7UX0R94j55sjXFiusX1oEycpC+0SiiKfqLndIGZgh8w2nnyEPf5ezzUKP7Er9Sk+Hozs4MQ9MJwEn3oRB4ha9MZ6n819YViQkmF7cZ4ipaNrEn703o9zBEkSA5kjIWi1ZDDbKFAwNeIo4dr97jRVy9QVZhsFZhvF937gjxlxnPL2vS5hnHJ5rUHlA6TYRXHKQd9BkiRmG4XTFKtTfKRQVZlWzcIL4qno+EiI0Bv6TGyfiZ9QKeiC9JyBJAvDBM+PsL0wFzRIdAaiB2BoCqWCShilzDYs5psltg8nFEyNF8812O/7eEFM2dIZTkL6Ew9Tl1FVcdYMooRf/eIqrarF9fU+7ZrF6lyJ3sgjzV1wacDG3oTZRgFDl5mMxDlakYWjtZevM5IksXUwEcYKZxskqUjuKxZUrt3rs9O1USSJ+XaR/b5Dd+Dx8sU255aaHPRdNFXmf/jLz/HvvnGPsRPyuSszLLbL3N0eUjQ1njvT4Dvv7OMGMa9cbBNFCQc955H6olY2aFZNdjo2jYrJfOvk+vb2nS7r+2OaVUOkAuYLrGkoeGEiBLKyxKXVOrtd4dAdRAm7HTtPLdAYO+GJNI4jiHPGg2HDcBJ8IJJ2kmYc9BySNGO2UZiKcbMsO3HWODrXHJ1DPgg0VYj29ntH/YAPhzQ3cUMGY/9ETfisYmSHJ0TUg0nwvkivu10H1xPmB2lGLhKS0DWZ+UaRH7yzT6lgEIQRXhgRxiLhYqFdwnGFY3uSCtdbVZEIwoQoTlmZlcgUmZQMWRIOuYEkrg9DUynogpDVqlrM1C08P0KSMlbnK0zciGbF4Fe+uEqSZkwccU4oWiqvXZnlhzcOp9d5uajx4vkWYydkr+uQZSleGFMwVcoFnSzLeOXSDJ2hRxAmXFlrnBBwRHE6FWr7YczYDhjbARJCsJWmmTCJ0BW+f22fSknnwlKdH9444PrGgJKVE8l0lVrZoD/2BdEMIazaOZhQNLQ8udQijBIO+i6KLPb4o/OAqshcWm1wb3uI7UVUivq7EiLTNGO3a7Pfc6mXDFbmyz/RPXaED2t9OMUpPg4MJ8H0fs6yjF4uxHK8CNMQKcT7PZfvXdtjMPEJIpEolKQp5aLOxI1o5yO2E2e+DFRNZmm2hO2K+7NWNtnt2NM9MIpTkUyY9+BkWZilfPWVRV6/dUhn4FGyNDoDjxfONYWITRJ7acnSmG8X2dybkCRpbp6Rsrsn0sJaNYsgSMjIWJkrs9Ox8cOYWEqRkFBkQSQwdQVdE2urF8aUTJWCpfC9d/ZBgitrde5sjygWdYqGmI+cW6yIfmFOQsiyjCBMaDctamWT/+EvP8+//i+32e97zDZMtg5tPD+mWtJFLVMz8YME01A4GHiYhkIcJRi6Qr0shL1KJLHYftDHl2WJc4sV3rojhHDnjplH3VwfMLRFEtFxgtcHQZZlHPRdPD8iRRgAzDaKJ/aAD4IT6/iH2EMd2QEjO6BoaaeilU84NqYijs92SvzZxSq6KjNxhaDrtF74dOJ4bVgq6FxYriFLMkVT5XOXT5LAjp8Pa2WDw76LroqZe5SkTLyINE0pmCoTN2S+VRRpWZqMLEdCDJGmqLJIm5dkCUOXkSUZRZJQizJhJFIvQKR8B2GKJGUoikylKAwWu0Ofoe3RHXpAJkzfkgRSSDMIk5TzSzXmWkX8MKZk6bx9r4vtChNZPxIpodVEY+xEuIUQGTjo2rx9tyMEjaaGqiiM7JCXL7X58c0OqiJSOA/7Dm/e6VItiSSqkROgKTLre2OR4pP3AgqGhmWKPsGTEsofxmDiM3FCykWdetl84tniFKf4KPBIX+s9arfu0OEPv7OJosr8xS+tUio9mKf8r379Kjsdh/W9EUvtEv/X//UX+A9/cof+yOfzV2eoFjX+4NsbJGnGucU6b93pMfFCJMQ6oSoSr9/q0G4UmGsVqOzo2F5IPRc7qKpMkmQUTI3eyKNgij3L1FVeOt/i+sYAQ1N45dJJh6gjp/KRHbAyV+EPvn1/+rWhHQmzitwAL45EQl537KMrMmsLZc4sVNg+tFmcKXHlIXOHs4tV3rzdJU5SGmVjKuAAIQhZmS2xsTehWjLw/JjOUBhv1koGhqZQLRkkiTjHjJyQYt7/C6KEpZkid7dHWKbK2nzlRJ15ZNR19JoW20W2D8W5o1k183o8QJJEAqrrR3h+jKrI3NroPzAAzmCnY7N0bP+vlAzCSJCdmxWTJM043qY46sFZhuCevV9sdyb44QOOlOPF/NwrIj2xWbWeyjimYGqcX6rRHXoYusLSTJnB2GfiPlhbPyykacbhwJ2e6Z4lQ5pn/WwSximNisnOoYOuy1RLzx6PtWc/SsQ47DvMPAMz0nfDzjFexbOCcs6DPuK/yPJnt976yFexr3zlK3z729/mK1/5yiNf+9a3vsUXvvCFj/opfeLgBTHX1/vTwVAcCyITwNgRbtcghB6vXhKFjWWoU7L/2AlZna+wczjB9WMsUyOOU5pVg/u7YwxVwQtilmdLTLyQWrmIl7tbW6YoLKo5ibM38hnYAYosFK1JkiJLwhn3YBBgGRpxkvFnb+4hybB9YKOpMsNJSL1kEB9Fucsyr12d43/7tecB+L1v3ReO2mnG/sBHU2SGk4ByQadU0DF1ld7YI0NiMPGI4hRZStjcn6AqMjsdm3pJZ2iHqLLBG7e7lAoaRVNj4kT8/KtL6JrM1TPN9xWpDmLwvDpXoWBo3N8dMXYC3rzTpV42GUwC/CjmpQtCeVevmLgd4YKjqvJTqU/fD+7tjOiPfXojj5EdsjZf4XDg8fzZ5vs+aJ7ikwHLUDmfO6YMJz69UUBv5OEHMRv7Y4ZOwNpchSBKpk244+7tYRiTpOk0JUPXFWxPRKBGsWjgbx+GjPLGQhCnlCzhHFmvmKiyxG7HRVMUkjTL1e8aaQatqoWhK3zlhXkxBNAD0tTAcQVZbGQHRIkYLIwmIbYXIUsy3YGLYahoioymyKSpcMckExHfrboYQrSqFjsdl4WZEhKgKgoTVxy24iRh6zBGUxWKpooiS/wvfu0yQZQwtgNcX7h2TNyI4SQESdyjrWqRdt3kW2/sEOfPLU4SLq40uLnZx9RUTEPl7u4YXVen62Vn6PHi+Rarc1WWZyq8cbszbYwdOeMbujp15RuMfbxQuKPu9RwWW0W8MMF2Q/ZNjf2+y9W1xiPk1w8DWwcT/vT1HQBubw3JMj6ypI5SQefiyof/mj4LiJOUiRuSAbafYGiC1PGN1/fQVBVJkvjqy4sYusJmnsgDgoR/RI52/ZA/+u4mYZywfTAhA2bqFnd2RpxbrBHHGSMn4PNX5qY/nyQZE1cQeDRV5urZJn/w7fuMnYjJJGT9YEyjYgEBX3x+7oQLRbmgU17RmTi54zli0PeF5+eYqRUY2eF0sDk/U2TrcAKZIF7c3hxStDTcICYIE6olg4Oemw9wA84tiWv27vaIOEm5szWiXNBISRk5IsFn4kUshAkbkwm2E6IoMnd2hnzp+QevzwtiDnoupq5SLekYuoIEdEceILF9aDPTKLDQKnFrc0CSJrhejJ675pYKOs+de9AUKlkaw0mAocvYXkQxUxk5IYosnIO7Qw9FlRjbQuSBLNY1y9Rw/YiZupUnFkicX65zZ2tEP3e9CKPkxGCxaGl0hx5JlrF1MGa2USRJM2wvOuFq/pPA1FXOv490oFN8fMiyjBvrA7xckPnv/+QOG3tiDdg8GFMu6rSqJodJhhNEYkTyPjTtaQpRmqIqElmWYXsJkhzgeCIiPUkz+pOAph1QLepsH4oErOOOVAd994SD9BFqZYMkTbm7PeIw9DgceCfWqsdBUeTpcNXxIt6535u+jiQV4vPrx5yLj59vjqBryiP7Xb1sCodJ3rvmfvi9HtvhiYSjUzw7eDi16MNMMfqkIooTrt/vY7sRjifc98MwRZKlPMK6iB8+nfuIH0EYJ6QpnF+uUSnqpKnoI3SGHiM7YK/noMgSRUtjpl6gXNAfS0j+JOFPX99hJz+Lb+2PP1Aq5o2NPp4v1oqRHXD1zE/mYH+KUzwNSpY2TZVIkoSSpRLlzvB+FNMfH+1jPs1qYTq86w6dqTvdbmdCfxJMk69Klsb5ZVFfRrEY5h31Fw4HHmmWYegKh0OXg54DkoQfwN2dES9dmMHQFLYPbH75tRX+3JfWAPiDP3vg7naQJ4IUTW2aAhrnzzkkYU5XMXQVsiwXU4r+xcQJp2cX2w35g2+tT9eyztCbvg//5fubzDQKJ2rk/13ePzzCkbnBN9/YmbryffP1XVbnK1NxQ5yk02QR2w3pjX2R1OvHdIbeVOTx9p0uv3dsMDxyQgrGUaKGhHXMsapoaVzI39u37nan6cgDO5g61j0My1BPpFp80H3s7vZwajrRH/k8f76FIktIkkTBFK8LBGnywxCjVYr6u7q9Pi0cLzqRrHVExH1W8fDn+H6NdppVYRZg6YLQKysKJUuhUbGEwCOIsN0+iipMFDRVol2x2NwfszxTYmQn+EFCHKcMJiGSlGHoap5+bWFqKqGWMHFDJIS7rSxLlEsWC60Ci+3SNOWsWTFw/IRzS1VeuTTDXLPI+t4YTVWIkxTTULl6pkmcZERxiqJIXD3T5PxynW/8eJve2Kc79InjBFUS16IkSRz0HWRJJGVuHUyol41j4gmRmDPJk3l1VcY0VExd3CdIMNew+NHNzlRQ8d139iFjasJwcaXOYrvExZU6cZKKfmWcTs88B32Xg75IOtrvOdO0yrEbcnn1wX2qqzJhnvq723FI04yVuccTRNf3xvz45iFeEIt0FDfk5Yvtn9g44cNaH05xio8DRUvD1FVx5pZEOtbRDCPLMt72I2RJYqfj0Bl4JGmGIsnMNAoUTJVGxTjxWMdReoi8cnOjPxUs7vccskw46P7g2j6KLIik+z2XX//yGkszZXY7Dgd9j8PBLi9fbLHQLqGrwh08STIaZYswTFloFbl2v8ebd7vESYbthszrCueWqjRqFqYmksySNGM4DoRruCwhy0IkP3ZDTFWhYGlsHEx4524PJxCk1O3DCa1qgX6efFQwNJAkZAkUSZBWQaxFrhtxfqmKpir8H/7qi7h+yG99/S5xnCHLMqqqsNAq0qyI9+TI8M3LHXerJYMgTKfp6gd9ZyrATNOMjf3JtD7aPBDpw2/d6fDG7S4Ad7aH/NqXVmnVPvi+vLk/4aDvsnUgTAjW5isMJgEvnPvg8Y1p7ux+ZLT1YfVQJ27Izc3BtCZJU56K2HaKjxZHSRxrT9ijPyvQVIVLqw3eutvlnXu9UxHHpxQP14bnFmsnZnjHcfx8mKXCcd3xxXzO8SLKfkxv7LPYLnNzQ9TR5YLBi+ebfOP1PdwkEskWKUiqJPamIKVkiYTvsR1g6SpJnNH1fcZOSBimGIZCrWyiKCLNz/FCRhPRWzwSVyuyRBxnJGRkaSZSOi8KTs3qXIWl2TI7hzbr+2MG44AkThnmIvm9nsu/+5O7aKqMG8REUUYgpyimzMWVGkuzFWRJ4s07XbwgYb/nsdgO+C/f30RTFQ4HLmMnRM4TicMoYb5V5OJq/akIvYOJz+3NISCSTs4tVdk+tJ94tjjFKX7aeLe+1sOI45j/52+9xcQRguvtgwn/l//l56df39gbT5PAAf7zdzemxg23NoeM7WA638vSDMePkBD399gR91uai6nrZWOadnNUKx/V7X4oTJmPoCoymSRN59jRQwZVqio4hEf43jv7075/0VSI4kQk+SC4Cv1JgIRElGTc2hjxpeeWpv3CwdifGkyCqIFlWUKXFcZegKbKU26QpSu8dadHmok5qaEp2H6ELMHQCViZLzObv9eyLCFJTFM9VVVir+di6CppKhKzHD+a1plFyyUIE0xdpTNwmalb0+cYxyl7PWc6w9RUmd5QGOiA4IQcR7N2UvBQKxloea9F1+Tpf4NIj71xjGOapOn7Fm0LQ7wHyaWtmhBufNDU30bFnPZ8B2Of21tDQKytF1ZqH5qQY2N//IALNvB44XzrJxaUfxQYOyfPJlnGM2d8Y2gSvbGPqgqu4GjyFO5znxAszzx6fzzrAg6Awk/Ph/qnhokrrp+jJI4sTd79Bz7F+MjZ4H/rb/0t/vbf/tskScLXvvY1Wq0W3W6X3/md3+EP//AP+af/9J8yHA6n31+r1T7qp/ixw3ajE85eYzdkIf/vSlGnUTGJk5RaLpIA4Zp7abXBbsemUtSpV0yGYxEPvDhTRgKKloqhKYBwMCmXdC4sy6Rpym7XxTI15lQZ2w3RNXEw2u+6lC0dScqm7vmWqXJusUIQp0SxxGDi4/oxYZgSxAmSLA5+theh6zKGqghnnrHHd97e48XzbXRVFsMrL8L3I37/m/dZmCnxysUZWhXhqtWqWhRNjbETiNSOKCHNUg56Droqoygy1YKGGySEUUIQyJRydW8QxlSKFhv74zzdRcSUNSqPFgRxkk6d9HpjnzBKqJUMxo4ohI4OeJ2BO/2Zn3lxnjfudAnChEurdQrmew850zQTZJwooVWzKL8L+XvsiEL3yJkxihNkWbynpyKOZxevXppBlWV+fCuh2CoRxilhmEzJ30c4+vwBdF3llUszjO0QXVc4v1Tj7s6QkqUxdiO29icEfsD2oY3tR5i6Qq2kkwGVgk4Yixjw/tgnyzJKxTKXV2sMJmEeZaoytEN2O8Kl2zQUokwcLGwlolbWqJdNbm8NsQyFKHf8t3R1OjDI0pSJF6MpCUkGlqFxcaVOGCUkWcb/n73/epIsPdM8sd/RwrUKHalVVZZCoSC60d3owaie2eGyZ2hGW5rxhuQNzcbGjP8OeTOzXCPXdskeztj0ds+2RgvIAkpXZqWMDB3h2o8frXjxnTgZkaqyCgWgEhWPWRmQER4e7uHnfN/7ve8jVntV+mNB0FhsWxyOPVRZxQ9T0jRj7sZ8dG/Ijz/ao1UzORglHE48JrOQmqURJilhlNGsifShnYHDg/0ZuqowmYckqXDtmM5D5JqEG8SF40aOrgqlfJJkwnnU1pFliZfOtdkbusy9GMeN+MnH+1xcbXDtbJvDsUcYp9SrOooss9qtYFsaUuFqDkAuiokvSsSRphm7A5ckzdg5dE5872Do/spEHKf4/FAVGV2Vmc5Dce1pClLhghmEKZapcjD2+GbRjPCCBENXSjeGlV6V0TRk5ASMpgFzP6Rq6UiyRMXUyMmJopS/+ukWm3sOV8+2sEzhimmbClkOhiZzd2vCzuGciqWhaDKqIiNL0KobjxF7vCDmYOTheMItI81yNE1mY9fh+sUOSSbWqDPLdSaOSBap2TqzeYihq6iKTKdpoqhyIbLQSvfcIxHndB4ShEIQpesKC00Tp1jjGrZwvA3CBEUVqVuGpvLJ5pgky1npCge+uS/u0ytnmjzYc/CjhMvrTXRNIctyPro3ZDoP2T50mM2jQnwZoGsS51fq3Nma0KobdBoikUeSJAZTn29eX2I887EtVQjAChe7PIPFToUgSDDJubzexA0SJvOcB3sz3GCDVy91ubzeolU3yMnJc9GovrM9oVWz6LWskqA0nPj0WnY5oD6+3sNnqw9O8eIhSbOyIQewczgvHV/jJGPqhMzckCTLSJO8JAaQF4fVpzxvnovv6VJOLskEUYyiQBjFSJK4921DNFI1VaJZNZg4Afd3RVNLlnLGTsRg4vOdN1Yfc7I/XouAuG6fN4HK8aITQpSZGyJL0lPPN8/C772xwrt3BkRRyrVzLeZezG7fpWprjzWsH/1bO170THfdU3x50aqZXFxrMJ1HVK3HP+vfRHiBOPc1awaLnQr9sc/YCUHKiZOE+9sTQR4if+q68CTsHMypGAOWuzZRlHIw8lE1GVmG4TQgCFNqFZ1m1WQw9fno3kgQmJ5wbn4a5n5Mf+yhKrJI0XkOE4W8IHr7YUK7bj4zMfNRHDXmQaRizryI7hNEHGGcsjdwkYDlbqUkMcVJVgo4QPRfsix/bvOHU5zi8yBOUnb7LjniemxUDA7GLoutCv/n//YV/vPf3kWWICdjM5iTZhmaprLYsVFlcc5QZXhwIL6nKAqKJKKlFVkk412/0MHxIroNkwcHDvsDF0NX0BSYuQlxnJJlOaahEkQJmqIgHduc4yQrhq3izGAqElsHM9Isp103kCRR4yuyTN3S6M8CyGF9qY5tqoxnAb2mVd5rIPb7/aFbmDRkLLWr7PTnqAq4x/bsLBfi1iPyYRSl/M0728zdiOuXuqx0KwwmPrqmsDdwmbkRaSbcsS3DRVWVMtk3KYjdeS7SBVxfJJ20XbPcT7aOnbnzPKfVMPALR743LvfEQLVwwa6YGntDF1mWUGWJXtMijNNnEvh1TeHa2VZBapEfE64+L47XY2Esep9HPcqrZ1uChJ7n5Rnny4Yn1YQvsoijXtG5tN5k4oTYpvr8w/BOhX/6rTP0mgY//HAfZx7SrJtkuTgLZllepmtmaUqWyjh+jKoqBFEmUl+8kMW2xdAJMTSVs8s1FEnid95YYftgxnu3hbNtrsqQC4LBtbMtNEXmZzcPmDgBYZIRRimGLnF7a0K9ohMEEfd2HRRZQldl3vnkkHMrNaqWxq2tMX6YYmgKV9Ya1GydZtWg17IIin6GbWnc35tyZ3PCcq/ChZUGtqmdWEuOUopv3B/SqOq0ayayIuYU5BJLHRtTV5m6Q0Ckmm4eOKz3xOvwC/JDoybOK1fOtNA1hf2hh8TJWn88C0qSFVD2Ho7gBnFJkMvznPu7U5I0f2ItMpuH5dkiTYWhRpxkJ9a4pyGIkuL1wUqvciLB44taH05xil8HVroVvnl9ic19h6qt0W2Y7PSF6UKS5kwckWbdbVhIOVRt0U+/tCYIqc1jZJ1OwyLLxF5Rs/XH3EcdT6RM3d+b4cyFaV3N1kQ/tbgPp464Lw9HXtlvyPMcLxBpulEkSF/TIGI49VnuVjB0hbkfkWcgkWPqCpIic/1ih4trDQ6GHosdm8ptjXduHyBLoi9rGaoQvE0zKraGpihM58IESpZFTzNOczpNk7kXF/MKhbc/3keVZSxdwQsiTF1FUyVubgz5f/7Jx1w50+TCaoutfZEIvr4okkCiOOHKmRZjJyLLchRJotex2NibEYQpV881+PjumHu7U7pNk9E0KOuoOM0IwpQsy9jcd3CDWKQ+3h/i+jEVSyPPhdD384o49gZz/vwnDwijBCSZRkUXiVFBQpxkn0qems5DhtMA01BY7jysY6I4PZGU/mhv6vPCcU/WJI4XnYo4vsR4sH+axHGE6xc6pYjjD37r3K/75ZzilwBdU7h2rn2ir/Y0HF8TXzrfpj/xycnZ2hdicF2ThYCxSMmMk5RGRWNjf06cJARhLMSFMuTkpFkhwFBkwjiDPEfTJDw/JUtT/CQjl0CKMhxX0Lm7dVOc6w/nKLKEpsjYlkaapExi8foGE780ZTrC2SVhvhClWWFIG6OrEsOZ2MtlWcLMVVo1k4qpocgyr17q8t/8zkXCWBgsukHM/tBDVSS8ICnP5RMnYDgJWFusUrF09CJl8rM6sj96dhh9ytniOI5S/OIko9e0fikGkKf46sHx4pP1ixs9dU4ymAZMnYgoSZGA/ZF34vsHY4/h1Mf1Y2xTYzoPkCWZJMuwDZWZFzGYeGQ51G0N05DxfMENzNOc/ZGHqctoqoptKlQtwclb6VVY6VX56ccHBGHCy+c7pTEtiJldq26w258LY1dL597OlO1D54kJD3/4u+f5T39/nyBI+K1Xl7i1NeGnH++jyBKGbrDbF+uVLBfz1eLcbhkqA8fnZzcPhKj4QofBNODe7pQ0yzm7WOMPv3uRdz/po+sKlq4wmm3jBiINPc1FWkcYpyy1KiwXRO4gSrm03qRqabx/R4ih1xfrbB3MH/5tRy5V6+E9fzj2ytSOPBezhyPTrDTPadUNnP0IWZaoV3SuX+iyP3KxDJVXLnTRVaXsGV9aOylmvnJGpAVnWc5yp3JinuE8yjF1I4bToPycHn2u42g3LP71dy/x3q0+lqny+2+deepjPytmj3AiHDf6wkQcx/fFo/mwpn7519+5F5U9a1NXmbnRCyfiCOOcbsNk+8BF12RqtRfPoGTr8PHEit+EJI7Ng+DX/RI+M+pVE6k/J8tAU0CSf/Ek5BcVv3I2+L/+1/8agH//7/89/+E//Ify63mxo/ybf/NvTjz+xo0bv7LX9mVB1dYK4qf493FSVaNqEBWOLaoin3DJrFd0qlaLME5L5WzV0lnuVDA0hZWFCvd3ZuXjL642eLDvlA1GU1M4GEU0qya9poXrx1xcawgVICI2SzhpKRiGDlJCEKXM/bh0gAmiFJlcxCfVNKZeQqil+FMRR3xna8JoFmCZKqoq44cxbtHYGznCfX+hZbO2WEWSJbwwQZZlZEkCxMFRlVOSLOPqepPhNESVi2FzkjBzIxo1g/E8ZKfv0qzpDKch55brDCZPdhG+sz1hNo/45MGIg5HHQksoTb/9yhIHxxrAvWNFsa6rJ1TBz4PjStDhNOCVi53SNfFR1Coa41lYOAZkaKqCLEvP7fJ2ii8nZFnmjasLaJrCxAnY2HPQVEG0PE7arVf0E+Sks0v18rq9vzsly0RUNXnO7sDl9pZwnc5zcS80Kgb1qo6mKkSxEImMZgEVSyNNchbaVc4ui2tvf+QynPrFoMUTDlmKhCJLBeFbuOpdPdsWqR7DOWMnJE1yVEWQRaZOUDhSqah5zpmeWHMMTeGVCx2WOxWGU/H7F9sVsgyCKGbsBLhhgixBkmf85U+2ePVSj/u7Uw5GLkGUsDdwMQ0FQ1dw+zGGJlO1VGbzmCD2yTLI8oyN3RlRkoMkFPiKIrPWq3Iw85AkaNdPRuiZhkq3aXFnayL+lghny2+9ssT5lQamrpZO5aah8tK5NnM/ZmO3WEMlHgo6vgDc3ZmWDipzPzlBJFv8BaPNT/GrgeNFOH6MLMtIZKR5jm1oRLIQcACla8NSp0KSZmWMJwjRXqtmsFnsy2GcYOoqF1bqjGYBmqJwY2NIDsQbQ96+ecg//+Y6lqWztlDFMtXSJSZJM9wgLghfSuk8cfweSNKMmxvj8lAbJRkLLVskA1g6cZJx7VybVtVguz/HLcQUYSwed2d7Sr2iI0kSr1wQxKq72+L3H4xcLqw2Ic+5tztjoWXhhwlnl+uMpwGaomLoMntDj2Y1JYpzoiShWTU4GPkEUcJu3y3WM53d/pw8F3vnYqdCp27wwd0hWZ4znAasmzU29x3euXVIo2qweTCj3bDQVZVbmxMurrYYzQIUWaZZM1juVui1LOIkKwlhSZrRaVhsHsyEi50kcXGtQcXS2B+4dHPYeGdGkmZEqctwGvC9r63SrAlxjOOJZsh4FjJxRIJJpyGEHN2mRZSkZf32qEhj68Ap16HBxOfVi91TweZvEFRFxjLUkgC02qvy4CiNJxdEoijOiOIMSQaQyIriM0cIOqRc/H8hSy7+VwYpgyQV+6AiC2FWnIAkZWR5zswFu1h/+hMPa1fhcOTxYN9hMPWQxS/kL36yyR/+3oUT8ZSP1iKfRVxUs/WHL7T497PON8+Crqul+O24Y8tg4iNL0onGlqrImIZCEIrhividXz5C4ymeD52G9ULGCH9e2ObDRLjFlo2z0oDdGcOZz3AWIssyuqYCyWdK5AjjnHs7DpK0xXK3RrNqsLvtkKY5bpAQJSJFKs0yxvOQZtXgztbkU9N3jhDFKTc3RiUhMorTpzoGHsfuwGXnUAw7BlOf6+c7z+1E3W2Z7BZkMUNXnrqe3NwYPXTLcyNevSQcYTVVxjLVUshRsbRTAccpfum4+WBcXnNb+zNhoKCrTObCSOR3Xl8F4L/83V3yPEeWpEKkQHlP/ezmQfm9LMtIcwVNlkVqbpbxtSKpV6TKDtFUhSyj7LUBeEFKmuXFegKm8fC+01QZ81gCxdu3+owdMQwbz0LaDbMUhY/mYTmU3Tl00NUGRjF0CuOH4ow4TssUwjBO8cKIepGqpR4jQssSnFl8SNL60x/e52bhHHpra8zXry3QqIozzWQelKLoLM+YzNWSVB3FaUmsn84DQaKWJHApiY0A6wu1cvgqSRJpnFOviDXv9taUXks8x+HYI45TkTKCiIovXf0knknMqBZJw78I6hW97BMYmnKCPK6pypee2PakmvBFx3E3wc+Cc8sNJk7I9qHHnuoSRUKU40cipVpWZPI8I8tBynO8IMIydOI4JowkapaOokjomnDqXe1WWSvMkCqmRs3W2Ru6TJwQtRBw65rM2zcOmMwC/DAllyCJMyRFYrWjsrE34/b2GF0Wib9jJ6TbNHlwMEOSJMYzHwkJxxVryHdeXyGMU/wijfPIkf7ethBlTt2IMEx589rCibUExPV77VybJM3LmuGta0snEok/vj/E8aJSxDt1QyRJolUzWF+s0izWAFWRubTW5NJas0wYObrGWnWznIsA1B5JlqmYWul0PJoJ06jBxGcw9Xn5fOdE371eGDsdJXE0KsZzOTrmec4nG+OShOx4Ea884kr/RawPpzjFrwOSJLG+WCvv3SBM2Bt6ZFmOqggTNVkSCTvrSzXWFmqcX2k8lSzfa1lP/V7N1njn1iGjaYAEfLwx5K2XlsS5qahBGoULcK9lF4ZO4jX2WhaGphJG4h4PogQviJn7Km9eXWD7cM6tzSlZDoosc/1Ch17TZjaPsQyNKApI0hRTU0kKwxtZlmnUjZJoaukKpqFimy6enwgTHVnUaYam4PgZO4dz4jQniISTsSwrREnG/tAnTTOCKOOTzQmvnHc4tyJSLJIko2KqSLLEu7f6gES7bpJmOXe2J0hImLrCaBpyZ3tCVhDD6naf1y4Lx3NNkTF0hRsbUx7szUCCP//RA9p1k8lcpIsIs4TPd97eH7r85dtbbB44ov8i5VxZb2EUhmGftlZ6QXzCeTZN8/Ka0ouZ0tEa+kUlhNUqv3k1yW8qxk7AdB4hSXBm6TR54voF4fr/4b3hr/mVnOKXiaqlUbU+3cjv+PmwUTF45UKX9YUaf/rD+7h+IkQSScrKQoW9oQto3Lg/ZDoPcP2ENAXIySSQZbAMiTDKcf0YVRW8gDDMiNOUOKG0kUkliSSNSNKU7b7BJ1tjZEmkViVZhiRJ6LpCOsvJctFvHEz9E69dliUqpspefy76HWnKdt9FVRTCKEUr1n9FlnjlYpcr662yj3d0lpBliSDcI4wzkjQjSUFXFbwgIZdg7Ag+0MW15+tpPopakfJ1hHbdFGKRp5wtjuNRDtCrl7ql6PQUp/i8qNnayfrlGddgu2YUZlDZEx8bx2kpvp7MI1Z7FYJI9NbCKGUwDpgX5iZBFJdn/hxIMiFq0jWFRkWIPOJU9MqGUyHMdYufvbEx4p9860x5D6qKzGQWoikK5LC5P+Pj+8JxfXPfIcvzEyluuyOfK0UarusnbB04ZT8wihOyHNSij2/oajlbn7kRW4dOeR9u7E4xDBk/EH+PuRvxO6+vCu4C8MmDIVGcocgSMuK8bxbJSL22RZKJul7XFLYP50gSZU90b+ieSK1YaNl4YVJ+TgstG9cvXOUlMac8giJJjGdh+VxxkSh8NOds1gzWF2tcPfdkwYWmypx9SlJZ7ZEZ7P7QY7MQxm7uOxia+sxUr4trT0+C+kVQt3UOjq2tz7qOP/NzV3T6kfjMj2bxLwKyXJh7kotr90VMW9M0mcEkFEkcOcxfwCSO1e7j5+EXXcABsLr04s3VvSCEnKK+fLjOfxXxK1/F/u2//benZJpPgVUQhkezANNQTyhqzy7VsQwVL4zZ63t8/+dbrC/Uy438yGH+YOSx3LFFYYfEYttG1xTkIiEjTTOGM0G8DryYpZZNTs5w6pOTcTBy6TVtWnWTt15a4OP7I+I0IU5ysjzFDyI0VSFMEtIkpWprGJpo0OU5KKpwBtTUrHS82T2MmDohqi7RrZlEsSgAVQVkRSJNUvZHLnGSMpoJhz3h8ieKjjTNUFWJMEloVEx0Qyjp516EokgkaY5taVxYaxAU6QZukJDnOWGcihjGIGFr3+Hd231MQ+Hq2Q4P9qa0asIhJ81yMTyThVvw995aZ3PfoV7Veenc43FhWZaz05+XDqJPUkjOvIh3bh5wf3eGqSuFW7mBHyZPFXFcWG1yYLksd8Umkec57YaFaagMpz7DaYBlqKz2qr80wsn2gcPNB2NsUy0GcC9G0fMi4OrZFgcjD1NXmHmiOXL0WYMgrUmSJFyvK8aJZsNi2+YnH+3RH3vUq0Y5nFQVBVWRsAyVvaHL3d0puibzT7+xhqqqbB/OGU59DkceS20LL0o5GHlMZgFplrOyUEGSxGGhYomUn7qtYZsqeZ7x0vkOEjJpnjIY+0zdCCOS2Ru4GJpMt24iSUJwcPVsi4kTMnVDtg4c7mxPmDoRtqmy2LaZuQFhnNBtmQzGPrqiEqYJn2yOuL83RVdlTEOlautIUoyuqSgyBEmKpipomkK9ppFOUyRNJs8lJCR6TQPb1IrEIoOFlnABrVd0Xj7ffiyF4M7WhPdu94nTjOVOhSBKcP2YVs1kuVtBVYTQrFU3CaOUiRMKp8GC9LU3dFmRpOcmnB2HFwgncUmCtcVaeZgD0Rg6u1Rj5kYstO0yYvFpyLKc7UOHIErpNMyvFOHxy4QkzanbOn4QYzUNmlWTr19dYKlTYTwPObtUO0GyieIUxwuFyzZwazNG1xV0FYIwxVBlcnIORz5fu9Rj6kVIiAP61I0J44Rb21OaNZ23bwgXitVejYW2zetXumLYsShxYaWGF6a06+aJtSSMUg7HLpv7c3RVZqlr06zpJFkVXVPoNS2COKVRM7i/O+Xv39/B0BUWOzar3Rp/+PsX6I8DWjWTpY7N1oHDaOaXDRJVlSEXB+hGzaBdN0hT4cSmqRLTeYihyZiWjqqE3NoJmDoB9YrOzQcTWjUfTe1StXSaNYPDkUeWZxiaTKtu8fL5TpEwJjN1Q/YGLpoiY2rCDTQthDASsHUwo2YbuEFcumuqikyrqvPTG4dYhsJrl7rIssSVM00hikM0XsMoo1nV2e6L+iQIEjw/plUzOJwGXDkj1vOdwzmWoZY17tyPy3tRkSVeOt/hcCScONMs59bmuLxf58fu/zwXgh5Vldk6cIgTEXf66NDycOQxmYdULe1L67x7CgHhPNtif+ghyxJvXnuNP//JBoNxgGmq/PTjA/zAEekbGSTHrXUQ18Txr2iqRJ7lGIZKmmaiKVscamXpodAjy0VNuz9yadcMqrZOlouBuAzM3RhFkdg6mCMhEUQZtvlwn3xWLRJECW/fOCAIU66dbTHzRKJXp2Hx+uUuFUvj2tk2EyfANrWyPn7a+eZZiJOM7UNxLxwRvo4w9+MTtbckiXPQ0d/6RXZ6/k1HnKRsFW7yy93qV1qoflTHTeYhYZyQZdBpWrhhzHgaEMQJWZrjzEOyNCsFgc8LCfH33jyYM5qFLLUrSECtKsiDSSbMHIJCEH50tnSD+LkGnn6YlPugoSslweA48kJ47voxzarBQts+UfseCdqet6b+nTfW+PjegCjJuHqmhf6Ec2qSZifc8vxQkGSPUkKunW2zPxS1+PM6qX9RSNLsmXv8KX5zcFSv2aaK58dlvTZ1I9p1E1WRSLO8TM1Agl7TYn/kMveEwcrh2OeDu7eRJYm1xQrLHRvHj+nUTVQFxrMITRNunaJ2TdFVGU2T2ek7WIZGq6ZTtTSSJCvcoSORJGCovH65x8HQxY9Svnl9kbc/PuD29phOwyKOMiAny8E0FKqWSPFs14wixU+8zyTNCOKYIEipVwxaNbNIk5WpVzTevyNcn2sVjUvrLeZ+jCpLnFtpcDh2GUwCXr/cOyGy2B3O2enPSZIU29K4szNBlYW5Q6ti0KgYhFFKraJh6qL21zQF14vYH7lkWY6E6K/OXOHw7YUx//NffEKWwXdeX+bq2RZ3tsasLdWYTiM2i3SOVs0gTjM0RSSPOH5cijh0VcYyFMZOyPpC7cT+9ei5XFVkDkYeuqawtlB9rB/xPLi41uRg6JJmOQtt+7mSjn4VSNKM7cM5UZyy2Laful88rSb8qmI0C4S4P0qZzgUJyvcjciS6DR3HDQkyUDUJXdOomGpBbJL5xksLgCBH5Tn0mjbfflXk2i21bd671afXtJDISRJo1w38ULh25gCShCpBnmfkiRCJKbJEGEG9rjOYeDi+6NsFYYwXCbGGJstoqsJg4rHaqzIoUiYNTSaIUvztSZnyO/ci9oZzdvsVZmfEffezm/vc33XoNk2+8fISL51rM5z6mLpKraLxZz9+wO3NEcvdKhdW63x4d0i3afHS2RabBw7Vis6FlQbNqkgqS9OMrcM5/bHH4djDNjUurTWJ0pQ7m2Pu7U6omhq6rlK3dc48MgjXNYWXz7cZTHzSLCtMo4AcPD8+cU+fW66T5xkf3x9RtXUurNYfO3eL9+yiyDLri1Xh0p9mJ1zkvWI2cXpmP8WXHYdjr0waOpoh1iv6M2tl01C5dq7NqLivW3WD/aHHUqeCrstoisxkHjBzQ9YXa8+VZHOES2tNfvD+LjVbp2KqpFlO3db41vVFfvThPsOpz5vXFkSqsFo4l+c5F1abnC0M3cJYEFqvn2+TI4QX+4VxVLuhM5uLtSoMY77/zhaul7C2UCVJUz66N2DmJiCJ33thtcHci9E1BU2VxCwFiX/8jTN8cGdQ9PirTB1hQnU0k4ySmDTNSbOMJBGpxXlh/BNGKUGU8sHdAWGxp06dkOEsIA4S7myl9FrCmGptocpoGrB1OENTZeoVnYqllSlpUZwRRAk/v3mIFyScX6mjyBJ1WyfLc/F5VnWSNGNvMOfiU1K/j887WzXziSIb14+ZexGWrhKGKVph9LW+WHuus5XrJycaXW7w8GwoyxIvnRfzbUWWntvc6oO7Aw6GLp2GVQqbj6Nm61w90yp7qafzky8vHuwJsuFSp3I6k0b0LhRZYjARs92F017nVxaDiV/M9DzqFZ21xSojJ+DB/pQsz0mSFMcT87ON3RlrC1WiJOODO4cMZ2FpJqepIp1XliSyHGxDIYhTkhBUKSeMRWqnYkEYJkJwkWdEcU6cZnzyYEinYbLcqzL3EuI0pdcwqVd0ojDHjyLSLGUw8fizHz2gWhFJGQ/2HPoTjzTN6TQsZl6Mriq0awZRqlKvGLxxeYGqrXNmqUajqnNvdwo5tBsm48LgZnWhhixJ2KZGzdbIQXCEkqxwe5dY/ZxJd62ayeX1Jv2Jx9wTIvfzK3Wm80jsSc+4/47P+LIsxw8StvZnbOwJjtGbVxZI85ztA0FaX+1VTxj1nuIUT0K1qF+m85DKp9Uvkswbl3t8/+fbyLLEWy/3Tnxb0xTWl6q4nujB95omcz/F9SPWF+uMZj6uL5LtmzWDVt1gNA2RAdtQ0RSJqSPm+oudNq6fEicZhq6wsSOMqJI4o9ey2Nyfc3NDGLNcWKlj6Arbhw6mrqJqMv2Jh+PGWKbK4shi+8BhOPW5cqaNJEnsj1zSNMcyFJI0LwxaYKFtcW6pyuahi6ZIrHVNYQSrKVRMjXdvHYr0zTQr+X6mrj402osS9MJwolWzuLje4N72lJVuhe+8sVLMVeH8SoPDkcuHd0dEScpSx6Zq62W6RpLkNCoa790eULF1/tHX1/jo3pC7u1OWOjZvvbTAcBqWHKPj93qai7TjB0USR7tmln0SQ1dZaFnsDdwyrXChbbN96BBGKb2m9dBY5gmwTY1ey2Zzfya4iMeSyEHsI8fFAhMn4J1bfQC+dqWHJEm/cB/zCKNZwGDiY+gKaws1Lq83mXkR9Yr+haVwwEPubBSn9Fr2cxlvfBkgS2KvEkkcot/9oiGOM2q2yuaBU6Zjv2i4v+s89rXdgcNK98UT1RxHGOSf/qAvGZpVreTDKBJfabPbX/k7/3f/7t/9qn/lC4mnOTLJssRSp8LPPznk/u4UECrKiqWydsyt5GlqvU7DQlVkPnkwJk4yNvZmtGo6UzfCMlQOJz6TQkk7mga0GyL54+xSlVtbY2QkoiRDUySyTBARkSRcL6bR00lSlZWucOiWZVnEjJsyMy9BkWT8MECSwXNFg7Jia0xmIqIxz0R0e38S0K4bBBMfXVMxDYU0zcvnUwqHsAurDQ5GAc2qjhvExZBUIYkzKi0NCaHsjOJUxCJL4Icxf/rD+6RZzmQe8mDX4dJ6k53BnFbdwAsTVEVCVWUWOhXqts5y9+mHvZ3+nL1BoVouCN6Purj89dtbOK4Y6jhuxLWzLYI4RVWePrxRZImVJ/zeuRdxd3ta/r48zznzFLXtL4KZF/H9d7ZLpW4QJXzvC4xN+6pDVWRaNYOd/pyKqZEkOVsHzgmy/tPc/X7w/h5hlKIoModFM7tq6QSxSN+Jk5TdgXCtT7Ocv/n5Lr/zxio7/TlhlOKHKQ/2Z+iazObBnLw4xEyciDPLtWIQK5J1ZFnBsnSyNOPB3pzzK3Xu7ziFc1WM42alO0anYYk0IFMXgqkwYTAJ2NyfM5iI5qKMUK8PZxGOG2ObCoauoasy+/sucZoRRhlIOa2aID106yYTN0JCEFG8IMY2VSxdI7GzQkyW0rCN0mF/tVfF8SNkWabdMLl6pvXYRj9xAt67fUgQJcxcIWxbXaidIB+IIYWFF8Tc2J6Uw4X+2KNeMQiiFMeNef1yF+UzHGSyLOfmgzFJ4YbghQnNmlGS3w1N4UrRnH0ebB06pYJ9Mg8xdPUrTYb8dWF9sYoiS9hFZOZ331zj268ss7E7E+TpTByQj4griiJzOBaN151DRyRhtC22Dl3qFY2pF5NkYpD1YH/G168tYhfxpLIk4flCoPDDD/YxNBFdunkw5w++fRZDV/ntV7tIksStIk0LiRPXd54LR4wjMqimyfzjb5wlvDsgSYR7zoWVBmGU8PHGiCwTe6gfplxYbiLLEv/82+f45MGI4TTgzvaEmw/GVEyNIErYPnC4eqZFu26y0LS5vzdluVvhw3tDpvMITZUJQhGZfGfLJ4pTZElid+BhGjOCjk3V0jizVCser6AqslgjgNWFKq9c7PLv/8uHDKeBaNK6EZfWmmweOOUg0w/FuudHHi9nD4mlcy/iRx/tk6Y5UZxyZ3vCP/nm2fL7f/X2Jrt9l7kXsrHncHm9JZLD4hRFlhk6IaYhXtNqTxCQSxc5CZqPEJmMojY7nroxcUJ0TaFZM0oyq6rIVCyNe8fSeWZuxGuXuuWwezwL2CgGWhMnLGvDU3x5oakna/N/8VsXALj1YMT3f7aDhBAPp097gmNQZECW0VWZeZyRFhEdsixSOSQo3VayHA5HPnkGqirEnmGckVEQLqMcTY3YH7uY+uP72NNqkb9/d7eMRL+1OcLUFXRNLePMX73Uo17RHyMmfx7H2bs7IjEPRHSxqkqoR66b1cef69G/9Sm+nLi9NWHuiXVv5ka8frn3CzWFX2RsHQry9v3dGUmWsdyt8NG9IboqE6cZtqmx1xdi7CDK+DzttzTLSeKMeR6zk8xpNwzOrTaKgW3OxAkwdZXRLODGxojXL/doVJ7PsS7Nc25uDEkK5ynbVHjrpZOJlXvDh6kbEydE02QaVaPc5+SCXPS80FWZN648Tsw5DlWRqdpaeZ3VbP1Eba2p8q9trXjWHn+K3xw8Wq8lWY5W9IB6LVuIN4s9/Ob9oUiVBBw3RFUUmjWLMIzoT49i4XM2dh1++7UVFoAkThm7UXn22Bu45Zlw6gbcKZKrHC/C0JSSbBDGQrBVLX7u/t6UXlN87z//7V1cTzjO7/RdxnPhgi9LQoDuBimmruKFKbahoRXXrRfEuJ6oYsZOwPbhnCtnhNHMe7cHpdPf2Am4fr5bOurFScpSu8pSu0qa5sy9qKwTJrOImSveuxskmJpCrViXFtsWL58XLn15noMEEoWQ2ovKuiGME1RFpFeEccqf/+hBeW7/ZGvE2cUGS50qUZRxf0+4cYvniNGKx2mKTKfxsBYS5wswdZX+xKfdeCiUP34u7088sozSeTNJMi6tNz/9wnkEiiwJUuqXDBt7M0ZTEc0+nYe8eqn7VJLdk2rCrypWuzVuboxFiqcXEoQiGUeWcoazCFmShdGRJBFGEeMsI89zFFnmndsDvvfmOmGSkefCnfHB3ozrFzr8/fu7+FGCKkt4QUa7YZJkOXkm9r+JGyBLICli3zdUmakboY48FloWWZYTZzm6KjOeBcJpM0lJkxyUFDeIObNYL13uDU1h82DGmcU6C22b4SxAkiRmbkSvbTNzQ/7q7U3WF6v8+KMD/DDhwb5Itfz9N9fLPvZf/GSTv3t3hzBK2dgTQo+vXV3gcOQzdkIurjW5fqFzgvBwZ3vKYOzxww/2idKUxZbNdB6y1Klwc2OCH8ZM5yHnVxpcv9Dl3s70sRQM29Q4s6Rh6mq5Tsuy9JgbpCxLeEHKYuHCd3dnxhuXjVLwmqQZn2yOS/fNMEp5qTCQqVhaecZvVPVTAccpvvSYzsMyfXpjb1YQLE2R7qPIzxThCffwh/fpUY2dZjnv3eqXpNEgSrl+4XGTtKdBUWSunm1zb0fMwqq2wnLH5i9+uoVfpG/+3bs7zNwIWZKomMJ5dqlbYToPubczxTJE2qEky7Rr4vzxk48O2DpwmHsJSSoMrd6/MyROMwxNYTIPCaKIiRuTFYLVsSOEKMOpqOG9eczGrpjlREnGN15exPES/FCYZbSqNn6UEqcZqiKTZyI1LUkzJFlCkRT8MME2hYuxG0jsD93C3EdGQmLsRChKgq7LtOomkiyJ+WJxvpk4Ee26Xp4jzi7X+OEHe+W562Dkcu1cizBKCeNEuAMjEhE1VWZ34PEnP9jgv/tn19CPkZ32hu6JeadenN2Oo1kzaNdN8bskqNg6tYpOr2U9F3GqZj9MRYLHe6jPmm8/CXe2x7xXEND2hx6qKp9wdD5Co2p8Lmf2U/xqsbEnyFTnvuSJc78qmIbKpbUmn2yO+fDekO+diji+kpi5Efd2pmwdOPhhgixL/PD9PSTg3s6Mvb5HImI2mMyFSPzyeoMcqRT5ZUX/QVMlslwqZgkZQZCTS+LsEJCjKULkkcY5FUsnz3O8ICEjg0ykUw6nAUttmxyomDpRklGvGNTrGtE4JU0yRrOQv39vh0bV4MHelDDJSNOcPM8ZOyHNmo5tacRpTtUyOL/apNO0eP1yD02Vef9OnyBMyfOcd24dluJsTZVL/kyzJtZ1WZLY2JtRtXQsQ+XB/qzsSXxWNGsGG3szkjRnNA1w/ZjXL/c+/eeOEaZVVWbmhfzow32Aco5iG2qZkuq4Ma9f6X1pjBpO8eXF89YvaZLxs08OUVVRG/74g0P+8PeulN9f7VVp1UxaRapFo2qSpAGmbhFECcNJUPb3xzORhKdrCnExQw+TFFWRmbkxt7emXFoT95gkCR7D0fW/P/L4+c2Dki+3dejQH/kkqRAVR0nGwdATzv1+zDs3+yUfbafvsrZQIc/FfeEHEVv7DkFhknAwcInSnFrB/xvPE8E3NDWqFZ1O02J/5AujxjynVTOYF6ZSYZJimw/7Vm4QMZ6FNAtBQRCm/NNvPeQI/PjDPfZH4t6duRG//drysb92zts3D8lziGYBf/x394gKzs/2wZwP7g6LdePxM5QiS4ych0kcjh9RsbTS3Ko/9tk6ELXQxBEGlkfnqck85JVHeiTHMXMjDkcepq4KA2D14foiSTzWX/zLn26W56r+yOP8aqP8LD5vHxNEn/jOMV5Vnou67lkClM+LF5UfUa8aVC2tFAYdGZC+SMhy2Bm4UNQa20X//0XCYvPxmdyLLuAAUF/A0mJv6Jez7zSH/vjFu56+KHx15SsvOKbF0P8I43lYijiehizL2Tp02Np32D4Uzqd7Q5fpXCVJc3pNC02RsQwNWc6Z+yk//mCX3aGHHyQEcYoi5YCM48dIgKGpNGsmUZyy0LLQtAg/zKhVdJIkw1Bl/CAhzyCTM1LBz8b1IxFXLGlYpkgI6TQMFrsVBmOPqqWhyjKKKlO3heoqSXP8IEZRROPS0FU6dYMffzQWRHZbHM56LYuvFaSOKE1J7gixiiTBe7diDsc+japOECbc35tStVUW2jZvvbLKne0JMzfk+vnOCSLJ2AnYH3ioqsTZpXrZHPXDkwpWP0geE3HMPTFANjSFWFepVXV6TbuIrfxsOCqkHv47ecojfzHMnLAs0oByeH6KLwZeEPPhvSHbBw7dImHlWZ/l8etv7ATIssyl1Sabhw69pkma5oK0bGokWcatzQlJKgjR03lIFKc0KwYTQpEo4UbomlK6QBmKQlIMP/M8Z6fvstCyWGzbTOZhKS5QFAk3iItocpAUmbB43WMnICfn6noLy9CY+xFzL2LshESJcAqXKNwo8oypGzCc5timyuW1BjuDOVkOWSpEJYaqYBsar13u8oMP9ojTDJmcmRcRJUJtfn65xkKngqFJ3H4w5vb2lNE0YLlj8dLZNnuFY+X2oUOW5ScOB/tDj4kTYRqqEIf4CXM3YvvQeSx1pz/x2dp3UGQRxz5zI+oFgSQpXNA/i4gjSbNSwAHiPn7lQqcknfea1mdq3Jy4dnIRZX8q4vjV48xina9fXWBj32GhZXH9QufxPSJMxF584DCc+ZCLaNMgFskbaSoa80GUkmU5hq4I9/lckJd6DZ172xPSTDi1dFsW8qa4N1VVZnTo86c/3ODccp03r3ZRFIWqrTGY+Cy2beGGE6X8yQ/vs33ocDB0QZJQZJk0EykZy90Kt7fG2IbGUqfCe7cPkRD7dhSnTJyArQMHx4vZPnCYeREX10R6RZbmgiimK3hBjGGo/Na5tmjwxAmWIfb2Izc+wzAIwpQoTpCQCgKLRJpmVG2Njd0ZSbqJocnYpsZSx6Ziaawv1ug2TRRZwtSVoomlg5QzdUMurjboNi3Gjs/hKGB3MKdZJIp4YcKZxRpzP2buxbh+jCxLj5Enj/a9IBJ//ygWyWF5LqPKMhVLZeKErBUc0iNy0pEj1tOISk+6JjoNk3c/OWTqRbx2oYOuKScel2XCve+ptccvqRY4xReH/aHLu7f6yDJ8/doinYYQCD44cDB1iUGakmTZpz8RgCSRZYK8JUvCkQBZQlMkZEVGIqdiaMz8mCxNORi6GKrE9QttLq41C9cZhXkgEvFMTcZQZf4/f3m7vL+eNJg4XouMnKD8uhckIjK92Ham8y+2ZjzuFmPqCmeWamRZTtX+1RACo1iIX5MkZ6lr/0IuMf2xT3/iYWgKZ5frX1nRApxct47EdF/Vv8dRbVCSm4p70zIU2nWTvcGcqRviR58tgQOEqEtXwTJ1qraGqsgossQrFzp84/oSQZSSphkf3RsKonaxH750vvPcqRieJ5Kn/FCIwDX18cbno65Pfpiw0q2iqzJ+IWb+ZTirXD3Toj8R55jec6b//CrwrD3+FL85eLQ+W2rb5X3Va1p4YYLjRpAX9X8SFTKEnLRI3UnTk/d9lou9cDqPaDcM6jWjGMopaLIg3SWJOGvOnJD+VLinfeP6ErIs0rVePt/m9oP7bB7MME2Vq2caDKcBeS6MTmRJQlHE9dip6ei6SpLlNKsGcz/CDzIqlkK7pvGTG33I4a1rXe7tzZnOQyEAO3aUDeMMtRBv12xRs0dFUq6py3xwZ4gXJvRaFudW6qWIo1M3qds6cZph6QpIohdiaAo1u1GYtCRcPdsSJHUnFERNWWJUpI1maYYXJsxcIQ7xw6R8fs+LieMEVdHIspyarYl1SJLoNCwurDWIopR6Rcc0VPpjH1kW/ZXJsX6sHyblMP34Zx7HgqhpPKV+f9Fx/P3kuSCvnzolfzqunmuRSzmfPBihKjJJJv6OWWHCkpOTZTlZYeKqZzG6rpGmOa6XEMYph4UDb5yIxJf1hRrv3DwUvUJJCB2zNOVwFOJ6MRfXaqiqTBQnTOchXpiIIbEkU7VUXr+8wNaBw1qvhm2pbO07Jal44oTMvQiJHNuUeOfWgUiURUJRRKLwSrdK1dKRZUGoatdNFEXGD1MOxn5hKJNgG0JYGcZpuefPPNFjgOKsMXKZuRHffGmRZs3g5fOPkxP8MCFJMqJE/FySZsy9mKHiMXYCwighjDL8ULgCH79WvSBmsyBDrC+IFFPtWC1iPVKL5HmOHz38+STJRHqHLO7rKE5LAcfRa4MiifHswxrkeRMIT3GKXyeO3ytPu7afB3e2xtzammAZKm9cXijPOE96njzP2dibcXtrgq7JvHKhQ7d58n759itLdOoWfhRzaa3J2Alxi7NFnueMZj4/+mCPRlVnoV2hUdH5+J6oLeI4FaKtxTqSDB/dG3Fna4wXJPSaQpCV5aKvf5ROZGgKpqEwdXNkJI4k9J4X88nWiCQBU1OQFYnhxBc1QA6fbAwJYpGCbKgKOwNXGNMs1lhdqPHD97aFEC4FXRdmLlmWs9Cy8EPRAz4SWaRpVrqxBlHKzAl5Z7rP/tDFC0KOUtKqtsa/+O3zHI49mjWDVy72+B/+5GNG0wDHE2KSy2da/M4bK4xnIe26wU7f5fbWpDx7+2FCECXo6sPeypPObo8SBzsNi3/+7XOQS/hRzPpCDdvQOBx5uH7y2Az1UZiGysvn20zmIZau/sKErskjs/LpPHzKI0/xIuAoiePsL8G88EXF9QsdIeK4O+B7b63/ul/OKX4NONpDj9Le+mOfsRMgSTD3QsJIcHhkGWqy4Of87OYhw0nAaOaDJJHnObIEXpAiA4ahiLm2lD1MR8rF/hoX5/hGRSOMUxQp5YhLJ0lCpDBxQnRVolUXZ/zB1Of8cgM/ELNAQxMpWjM3xAsSvILfU68I4d/55Trri3XeudWnYon00psbQyqWxuX1JkHBh8nynLCYlypF8tNq4RDfa1rIskQcp8W5XxOzteDptUsQJWzuO6Rpzkqv8tgel2ZiZnuEo98tf8rMfn2xhm2qhEU9cGTEe4TZPDzeKhE8gVQY157iFF8Epl5YmMWJZNokOckpW+1Vubc9YfvQYbVX5fzKGv/w/gi3ME62TZWkSLCwTBUZGEwDVAVMTUZWFFRZRpIlJCQun2myP3A5v9Lk5v0Ru0Mh1KrZCuNZUK5XkgRI4syvqTId3WLqBMKYxtCwdUiRybIcXRPJlivdWsEXgFpFI5tnIl1UU+g0dEZOQKLJVCydtYUqhqZw7WwbQ5GLhNyYlW6FSmF+GUQJ15c6fHx/yM9u9tFVmYtrdSxDY+aGmJpKluU82J+VSeKyLM72cZLSqOqs9qplbRvFKbc2J+Xftj/x8cKEuRdjGQor3Qr3d6f4YUK7bp4QGaRZzkq3wnQeIUkSrUfI+14QMZgIIYplqEUyclGr50IY/zQRR/DIeavXsjmzJBIKV3rVE2lCUZSc4B0K/lVWmtr8In1MPzyZuvesNfmriqql8dL5DrMiZedFFJq7fkTNVhlOAlRVwdBevPnuT+/MHvva+5sHvHZm8dfwar44DJwXj9srSXJpUKpI4IWfg0z9G4LTCcsLirPLdXb6wlVFVWXWFz7dmW1/JJz53CBm68DBthSGEx+5ZSPLUhnDpcgyYycgTjL2ZgGjWYiiSMRJTq4A5OS5+L15LtSuuqZQq5r0JyEg3LBrlo4fpmIIBaUoIM8hlyTygrCQpnBmuYLjJ2iKRKNqsNAU5HHDUKhZGqqiECcJ41mAbanIkkyS5Pz8kz6yLDF2QrI856VzHXRVKYuht2/sM5wGjJ2ArYM5Sx2LKE6YzTPmXkK9qjOZC8f+JM2omELxOJqFzIsY9ShOubM1KV9/mk65dk64eR85EoEg0daf4Ai8tlBl62AuCi1dZbldwTRUqvZnJ1nXq7oY9BUN8F9W7O9Cy8K2NLzCNeyXkfbxVcatTZHCEMYpO/05F1YbT/0sw0euP02RCUlRVZkrZ1qkScZ2f06nLpz2LEUcso4cuBtVnYVWBT9M8Au3jUbFIIyS0tFPRircN3MOxr4gMOgqm/sOVUtj4oaQQy9IqJgqfpCgFddhloviO4ozarbO5qHD2aUauqoSxsI9OIxTNFnCMjUWWjYf3R3geDGaLIvmTZRQt3VGs0CsFYCmiVjEO1tTQMIPYmZuiKbKRHGMpirYps7vvr7KjY0Rt7ZmeGGKG/j8yQ8e8L/9nfNMvFg4hGSCZPra5R6GppBmOeOCgJoWbhq9lo0bxPzsxiHtulUeZOIkY2/gEiVigJWkGWeX6+XnUbG0zxxxp6kyNVvHKQRe7bqJJEmfe7DbqVul26haNMFO8atHluUYhiYcXiRB3Flo2RyOvFL41KoZ7A7mHIw84iRluy+Geo2qgeNGKLJoCh4JDcMowdBVLCOlVdf5k38YkeXCmXOnP0eVJdZ6NWZeVAzzEmqVjDvbU/7z397jO6+vMvdiTF1lOo84HHv87MaBSOOKU3b6LvWKTsXScdwYP0zYOnDKhsX93Sk1S8Px41LIEMUpe4M5uwOXK+stHD/i/u4UQxVrgqJIOG6EqaloiszByOONK72ygVGraGiqjKYqIo542cA2VYazEEWWiijhCqNpgFWsN4cTn69fW6Bq6ZxbqZ+4V1YXauwczhlMfECiXbcYTH0URcIydJLUI8ty7u1MaVaFADSMU86vNPCjuGwkPeoUd2apzsf3htRsHUsPsU2NiqkThGL9tXSV9d7DvbE/9pnNI0xdZTaPOBz7T4xXbtdP1g2NqsEP3t9lXHzt3TsDlrqVgrgrOuOmoZxoyjRrBrsDVzjWSXyh0aOn+OKRJBl/8/PtUrz3/Z9t82++d5lPHowZT0WdHSUZ+XPys/M0Q9c1kMTgXi7umxwhalrpVvGCmKkXIRXujo4XM3UjqpbG1bNtNHVKf+IzGAtngyBK2NibYZtCnFSv6CfSwR6vRSSOWgCLHfthQ07iC3e27zRM9gtXayHWtn+lDlX3dqalqGu+FZW1xGfF3I/L4c2cWKQdrTY+5ad+c9FpWBwWqUS2qX6liZ9HdZxtCoekesVElmUsU8X1p2Xa1JFp/2eBJIEkS9imiq7KGLpGqybc7S6tNVEUkcC3sTvDCxNMXeX6hc5nEgMvtCzqVaMkAj3p3NhumAxnQZEaJJVOq626yefzxXs+KIr8pXRietYef4rfHDxar3Ua1glXrZqtU7N1sixHVRTkYpwvyYJsjSSRpI8PuYIoxdAVXC+m07TKOlCWRA0OMJz47I7m5LlElCS8/fEB37q+TMXU+LMfP+Du7gQJibkb8/H9CS+fFyYGtq6QF27xkgTtVqUkNc/9iDjJUVWRzvvz9w6Ri2Ssv3lnl3pFQ5aVgpT98HW36wbDiY+qKIRhwtQNWWiJ+/K9O4PSMMINYt7yY44WhWZdiLtMIMsygjBFliX8MGXrwGF9sV72LF691C3d5LpuJBKDAS+MGc1F8l2UpPTadjk4XFusYVvCMEZTZS6daRLH4ueWOhW6j/RnlrviNWsFWQVOrmfivZrlubxi68hQvpbjaR6/CejUTbYD0ZM2NOW5hX+ngL2+y2JHpFUcIUf0E7TiWgUh1g4TiOKYiq1hmyqbhzNUSWHqhOIerZv88T/cw/Fj3CAhSVPiNCf1MtxAiETvbM1YXaiR5jmaqrI/ckkzMHSJiqlTtTQurjZ473afuq1zdrnOSq/K5p6oQUxDRZVlfvhhH6QcP0ipHJE7kgwMuHauxdpCjSx76DLba1n4hTA1jDPiJEJX5RPXyvpClY9tnf7Ew3FjdF1mNAv5yY0D/m//3defeF11GiZ+kNCo6rhejK4prPQqItioEMOkWU7FVIX507F7+SiVHOCTYMzXrvSeWYtIkkS7bpapM/WKfkKsauoqtvnQTff4ff5lrUFOcYqnoVE1kOW5EDZWRCo3POxlPg/Gs4AffbRfHlqyLGOpUy1TaR5N+eyPfd691S+/H8UZv/vG6glBlSzLXD138i5daFtM5yF+lCBLEraRczgW7r7jmcKltRZ5lrM/cjm7VEdTZQYzn1ubI9wgIQgTkmGKZagkcYala+R5jqYoGLpK3daRyBnNHppXRCkEfkKUCpGoJEk0uzpeEHN/d0bF0gijBNdzkGWFZlVH02RUVeGffess73xyQL1iECYBSZHO0etYVCs6+TRgOhfrehDGLHer9CcBQZggyzLbfRfLUJFkj9HMp1HRURQFRZK4cqbJq5eECcdH9wTx9YM7A+Iko1EzuLkx4pULVzi3LHoPVVvnkwcjDsci5Xm5U6FqnjyLtxtm+d4VRXosJeP4NfM7b6ywXSR/iHRlF7moJZNkykvn20/8WRCpSF/UOejsUp3bWxMhPpLg3Oks84XGxr4gU50mcTzEq5e6/Me/ucO7t/uCnHua8PWVQ6OqoygSNVtnf+iS5zmmruD7MTMvJslE31CWJOIsYzgLiOOU4Uz0FI80CUV7ggQgydCzvDwTR3FKnuVkkkQq5eRpjhekVCwVSZYxwoAkTVFkiSTNqVYMJk7A5v6cbtNCUxU29x3WF2ps9x3yHCxDnBUf7M+QZIkkzZBlmYsrdS6faaOrCr2WRRSlHIw8dFVhNPXZszRRh88CFFmm27JKI8VOw2L1ETf55V6VkROUwo/2M87fd7enZe1xeysukz+OoCoy9apenu1bdeNTBRxHOH72WF2o8d7tQTkTOrdcR5IkhsXZomprJ5KwTnGKXxS9VgXjmEFg7ZEa7t//8QfcK5L37u85/A//9VaZantzY0TVVNGLGY2pSQynYXnfmbrgDUXpsesZieVulSBKmMxD8kysQX6UoxS8QxC979EsIMsgjDI2diYMHcE7mvsR/alCpRAp5HnGhbUGhipqRFURvzvQs+I9muiqIkxW3IiVXgXb1Li01qRe0dk8nKMqCq2aydSNmAdxYWCtcuvBiBt3ByCJ99Sf+KRZVhhsZIRRWqbrzr2YKBbJQaoiE8YpzYpOvejBRlFygkfXaRps3XLIMjFr3R95pYmMEHaoJUlfV0XKnSIfrWkn16s0y4WJXg5+lHC11Xo4l1Vlas/gF9aLveJIkN9pmHQa1hNntrqustC2OByJvuz6Yo1qwel60uv6LKhXdFRVLte/37Se6BeFRxMtXzTUKhpekKIoSslLfNHwzcsN/u+PfO1FF3AAnFl48e65Tt1gb+AKIQdwYfWrexb86rIlXnAcKWJHs4DVXvW51HlHxRJQuGSnVCyNPMvptMSh59xSg79/b5vD0Zx64WYny2I4qSkU7r0qtqnRbZnkucS55RrjWcAnGyNkRSLPHh74ZFniyLdGkUVyh0RGs2rhhgl5Jg6amqayVDFY6lT42uUu2wOXHJHaoakiOvlw5LHUrTD3hHPnkVsXOaRZym4hakmSlL/+2RY/+VCkiOiqgqHLOF6Ipsli2GsotBuClHpUgM29WDiExSlJmhLGKeuLNTp1oyyORjOfn39ywO2tMW9eWyxVt34gBCGmrrI3cOlPPOGIqEgosnD70hSZb15fZKlbpVUznuk2uzeY8yc/2CCKU755fZGvX1sSn5umcP1ih6kTYpnqY6kfXxR0XeUPvn2OB/tTbEPj7GnD7AvBZB7w3//xxzzYd1hdqPLt68u4Qcyl9eZTRRxxnArhUy4GElGSoWsSaQ4LTZPNwzlVS0XXFG5tTRhMfExNEKTPLdf52tVFvvHyIq9e7vIP7+5QrzhIiMHItXNtojhh+9AFSTh3goRlKGwdzBlMfVo1A1tTqVSEC36zJsjmO/0p+0NBmpZlcfCazkM6dZOVXhXTUOk0TJIsQ5MlBlOfJMsZTHzhvKepIq41Sbm9OaVeOTqw5KiKRKsqBrMb+06R3CEG0roqkecSrh/jhzHv3urz3u0+o1mILAuVfhinzIKkHM4mScq9nSn3dia06ibfeHkRRZb5+rVFDicu9x6J2nO88JiIQySanFms4wZCQf/WS4uMnZA0zWk3zM/cNJUkiatnW4xmQTl4/0XQa1mFO5dwxjp18v31QJYlzizV8IMEwxCOaTVb5/qFDnMvpmqL4dRBQVrNspxO3cQyVS6uNkizHEOXi4O5uO6SVLhrXj7TFM3WNEcGcgkMVcE0Vf7b3z3Hn/14i+HUL4SEEmmWcXtrQr1iMJmHZFmObWksd23GhZumFybomkLVFk4VC21b7KvFfjdzQ/72nW3iJKNqiJQLVQYvTLi1JcgPNzdHGJqCqsiYukK3aeF4IunHtlWyPC9jP5tVg27TAnJUVWZv4KKpCpahsbZYJ01nGLrMQtNmoW0zmHhISAyKpubUiUTU6yOChe9+bZV7u1M+vDNkWhBhNFXm/q5DlmWCtBWnxEnGh3cH9MceL51vc365znK7wo2NEYaustA6uQa/eXWBTt3EC2P+N797gcHUZ2Whwu3NMVGcsrJQ5ZOtMV4Qc2tzzNgJUBSRMFKv6HRbJmlmcX9XNIWbNYOzS3W6TXG/+mHCwcjjT39wn9ubE1p1Q5CYc3C8mPMrDaq2Rpxkws30WKPYNjWuX+jguBH2C37I/yogSpIT6UtOEHPj/pDbW2NGs4CKpTGbR8hyTvocQg5Nl1loW4wmYg8xdZWqbRBFCZWKRpZluGFM1dbL4Y2ui5rz797dZaHYM37/ayv8/Faf4SQkTVUOxz6uH6PIElv7Tnkvm7rCn/5gg4ORx5UzTS6ttbiw0qRRE47W55br3NmacHtriiTB2AkxdPe5SUv7Q5fDsUinOL/SeGwPO7NUp1Y4cT96L4xnAduHc2RZ4vxK/ZdChD5+fspzUZd9HhFHGCWP/Pur6yIBotFfr+iilvoMw7DfRBzVcWeWRcqMoSnEZX0sHOBtSyPLYuJUnKmT9PkEHeKazQsSZUKrLjGcZPzR39zmw7sDfvv1VV692OUPfvv8Y+e+LMv40Yf77I88FpoW335lGfUJw8UnnRvjJOP+7pQgSug2LRbbggg+mgasdCtfedHC+mLtqXv8KX5z8Kx67cjdbeZGRdqcyf3dSSEKEI8Lwph61SaKPaJUEC1qtkp/4uEFCd2GybfXl8Uw0NTI85T/9P37+FFC3dKoV0yyTBAk0mMxsHMvRpFkkI8FZuTCYOXl8x1WexXu7c5KUsTmgUNWrNV5lgnTh4pOGKfESVz+fLVbIUnzsk8VJYLccXG1ScXUmHkxVUvFDYRwVJaFIKXbtESKr65we3PMe7f7mLrKueUGsiySQC1dYTAJiGKRHKgdc/bKc/jzHz9g61D0MP/5t8+S5zlRIhIuJ7OQ4cynZhv8s2+u4wYJaQpvXO7h+BEHI4+FlkWzanJvd4osURIdn4SqqTKc+gwmPhdXmydShBZaNqauEkQJzaqBVKSH6KpyQsDzoiBOUu7vzgiihF7TLoUsACu9KrapESUprZr5lU3T+qyIooS3bxxwOPJIsxxdkyDL0XWRIrPYrnBvZ0JSmOHmeWFyokrFcD3A8yMxVJdygijh9uYYxxVnflNTWWwaHE5cNEUWCbw5hHHMzE1I4pSXi6TMmq2hqDJuENOqmXztao9O06LbsLBNjU82LB4UZwKUnIkjEntmXowiC4KSHyVcO99htVfFDxOWOzZJktJpWvSaFn/9sy0WOzYSYFsanabJjfsjFEXiwkqDb7y8RKdh8Fc/3RKELknULWGU0aqLe2Y0C9g5nKMoEueW66x0qwRBSqMizjpnlmr83hur3Nqa8O1XlhhOfaq2ztWzLRZadtlve9RRN0kykYSWiZolilOW2hUWHjFiuLjaoFUTc4FHe3duEJNlIlHuzFLt1ADpFC80LEPllQudojZRkWXpRC/zeTArEsaO4AUJ18612TqYsduf4/oRjheV86wgSoiLJkgUp9zeGnN/d0rD1nn5QodXL3Uf67lXbZ0/+PY5Lq9N2DxwRJJEmJZ7r1W89ihIBYkqTLh+ocP2YC6caQvS61LHZm2hxsyNxGxSlfACYVxjaAqKLNGuG/h+QhClZd2SI5EoGXXbZKlXRZUlqqaKoSuoiiTW51zMAlVFZjjx+KO//ES4g1d0ZFVmOhNCjuk8YrFjUzGqVC0Nx4voNi3WFqs4XkynYaPrEodjjygR6a2aIrHYsWlUDF6+2GNv4DPzJpi6ihfEXFxtcntzQpgkLLYq9Cc+79065NVLXYbTgMk85M2rCyL5sTD5OBLllteCJnNjY8ThxOPSSgMJia3DGa2qydeuLTBxQtHLMrWyDxMlKbqq8PaNfWEIKEtfuMHHs9Br2fzBt8+xN3TpNa0vVQrjKT4b0ixnc1/MEs4u/+quoS87XrnYQVNl+mOf7cP5r/T+OsWXA0emK+sLNbYOZ4ymIVVLY6s/p2Jp3NudkuU5ZIAMCjB3Y7IsFcm7hdkqPNyq0yQHQ8ZQxf46dcUcTswoxGwyy3NMQ+XKehO3G+IFGWGS4Lox03lUJPjlrC/W2NibMpqFVGyNb72yRH8coCsyQZzw6oUuQSwMFxVFomrrDCYeq90alSNTG1vH0GQ29mZs7DucXaximRprCzXevLrAyAnYPnREuvnejDNLNcZOWJ4Vzi838KMETZUfmyEejjz++B/uM5z6qLLMuZU6Sx0bkImT9DGDtyvrv/j8vm7r/MvvnGfn0KFZNVjuVsnzvEjj4nNxC05ximchTTP+m++c5+P7Q2RZ4vojYtrDkU8YJaSZEFlkWUrNNkjSHF1XWOzahAci4ffCaoORc4jnCTOyhYbJN19b5O2PD1loWrxyscMf//19Jm7IQsvGNpRSPFAzNWq2yngek+ewulAhjBL2B54wRcgLwW+RhKfrCr/92jITJ2S1V+Hqutjz4jSjZmm4gehNKQpcWm1web3Fzc0RVUNjqVvFNtVSMCFJeZk03qgYJGlGo2ogSeK8MQ4jjrzEwijlW0c9BEuk+OwNXYIwoWJpLLQsarZGGKUstCz2xz7ff3cHgDevLZ6Yh/THLu/eGjCZB9QsIRA/juOzQEmSsHSVd24divVouVZyCw1N/B0tXWEyj2hWdXotYeATxinNqvHEFPQjmLpKs2awfTCnWTOo2jp3ticnOArH8b2vn2FjTxjPnVtukMMX0sfUVIVXLnSEYbemvJApE6d4DuQSl1ab7AzmGJrK2nOYzn/Z8LO7jydxfLh1yCvrC7+GV/PFYeS8eOk318512Nx38MKUZs1gtffVPe+cijheYCx1Kp/J1anbtAqnauEu36jobDgBlqkhIeKCP94YIssytqWz05/TbZhCgKCKGDPRRBTq0jjJWWxb7A09JoULWH/s022apGlOvaYxmOXoikymCqVtvWqgqzKmrpJkOaahiJ8lp2JqfO/r6xxOfBaaNnd3phiawmK7wngWcnm9iSQL6ZWmypxdrHFzY8R4FjD3Emq2xsQJ+eTBmNvbE8ZOSJ7n9Cc+yy2bKMmQi8jIb7y0xPt3BqWrjK5JREmKG8Q4boQXxKx0qxyOPAxdOAU4XsiH94ZUTI3pPOLv3t3hf/+PL5cOigCOF7F14JCmGfd2p1Qsjfu7M7IsZ7Ft89H9EdfOtp9ZYAH857+9V8b+/tVPt7i01qBRFQRTQ1MeGyr9MmCbKi+d6/zSf89XCf/fv7rNTt8lSTPubE3oNSx+67XlZyaq2KZGxdLYPnSYzsOCDCHjhwlpktOqmoxnAYaucjD00DVZqMgluHymxRtXeuiagq4prC7USpcH25RYWajw8f0RIJUkZ0tX2DiISFMhpjga3oBorKz0dGbzkP2Ry0q3yngeFm5REpahEcQZ3aJZriiCkD7zIqZuzGAwF418SXgJB2GGJENOTprnVG0NS9ewLBXynPE8JE0z3DApCShhlKEooGsaQZSytT9j5omBixiQ5KwvVllqW0zmsXAvzjJ2+nN6TaEof/fWoIwqXF+os9C0eXDgQA62obK28LAosAy1TM0QjZZK6cb3i0CWpYLQ/sWgXtFPEzh+zWjXTfaGLoamIEkPXVcedRbrNi1Gs0AkWFV0FlrCpWa5W2GxU2HsRDhuxHAasLZQo2br3NuecmapRrtusNt3UVQZw1D5+uVF/vrdbaq2zqXVJu/e7mNoCmGUcn5FCI8e7M1YbNukaU6WwVLH5v3bfRRJJPusdCu0aiYX15pUbb1Mv3j7xkHhuCDRn3qs9ar0xyKFIskyRtMQS1OZezHdpoUiq8z9uHCfS0mSjPEsIEfUHP2JT8XWsAzx37nlBvd2psLpR5FZ6VWo2TpekLC2WMcPE3YHLqYuhFmNukGcZGwdOCfc62VZ5tJai2bV4M9/sikSRg5dzizVcLyI7UOH5Y643y1DvMYH+zO+dmWB7f4co+jYbB44fOeRz/S4gHGhbVOzdRoVg5kbMp1H5HnOX/x0E0WW8MOEwSTg0nqTMM4YjAM0RSldOw+GHhVTo9u0qNk6aZrx3u1+WdPs9OdcXG0WYhtR2z0rYcMy1BPuhKf48sI2dZY6ldKVVgznYwytcKfIcqoVDceNSbPC7ZInE7QNTcbUNQ4GYr9XFZksE65W5DlJkjEMRf2oqzISEooi0W3aRFHKOAmYexEX15rsDlzOLNYhd3iwNyNKRCKd44vkK9NQCcKU//T2JiCanO/fHrDYslm70GGlKxoy/bGPH6bIkkib2B3MC2KY/qmuzHM/LoezQZjyYH/G5fXHvXBbT9hz4yTjzvbDdJA72xNeKxwov0j02hbbB0IoXrE+v1Nko2pg6ErZsO21fjlpei8SftFa6jcJx+u4ME5573YfQ1dYXahyMPY4GHnkUJgpqDheSBB9uowjB9IcvDBDU2C772KowhH2Xb+PoWsstW16Lfuxc9+NjTH3dkQTf8MXBK43rjy5efnouXFzf1Y61W8fzJnOI/xARICPnZDh1P+lJUq+KDhN0fpq4Gn12uHYKxMonHnETz/ulwS6/VGAbagYukaWxqiaiqKI+z3LBSEyz2E4Ddg8mHH1jLj3/ue/vIfjC/Jkf+LSadpYhtizrlx4OLh97XKP0TQgTjMkCbpNEyQJQ1e5szOl27TKvfju9gRZkpBVif4kwPUTLEMjChPSNC9TxGRF1BuKIvpceQ560fNyvIhW3aRZM8nznKk7I47FD7brYlgsaqKc7cEcXVGYezGOF5XDRUkGWXYE+RI4v/KwRj8cu3x0b4hUJJH8T395i2++tIShCWOKuR9jaCpxkpLnUmmQAtDRrRNr0ZUzn54N9PNbfYbTAEmSuLc7ZalbOXE2efRc/nnTNr8MeLDvlGv51oFD1dZOGMm8iMKUXzd+fquPF4o0yCwTRkmVioosy5xdrjP3RP89jbKyxlUkYZoieokpSZKT5Tm7A5dWzSEvRFgyEmmeY1sKS7LNVt8lA1q2RpKCIkvIusLUjbhypoUiy+gFGdDQFdYW6lxabwLifBKnwgjCDxP8IMU2JYJIJAqrslS44koMxj6rvSr3dqa4QUK7YTH3IqI4o9u06Y99bEucg9OM0hX07s6U6xc6XFhtsdipsd3/KQcjD0mWOLNYZevAYW2hyt1j9f7dnSmvXuzy/t0+aQYVS2fncE4QCdHWzI3oNCx0TfQIjpOxFFmi0zDLnmi7YaIoMre3R6XL7sbe7DHCuiRJT6xZ8jzn1uaYNBVmMv2Jz/pi7ZSIdYoXGqahnhAnftaz73LHPpE8fXGtiSyJmkVVFPww5dbmmDevLiBJoi/erpnsD13GTogfCuHDbB4RZxmdhsnqwuODe9vUePVSjzNLdd67M2Br36FiaqwuVMv7fHfoYhdGdPsjj/VuBRAppkKwWWe5W2V/5OG4EXGaU68abB/OcXxhxla1dBRZRtMSXF+kG0lSIbDLM/wwYX2hxvJCiuvHJH5OsypmqSCchedBTLdpEyfC3dc2VcaI+d7cjzgY+ZxdrNGuS5iGih/EjKYBF1Yb7A7c0hgHCTw/YaFlstKtgQSaAgcjF0mSCMK0TPi4sNbgcOThhyL5XJLg7RsHJz7PtcVamWL2KP7i7a2yf/X2zQPu7U5ZbFdw3Bg3jGnXBOk0jFJ0TS4FbH6YMJlHpfHe0Xr/q0Krbj6xd3SKFwsHQ5coTtFVmeXui0cE+2XB1IXQ7p1bfX528/BUxPEVhamrmG2VekXn4/sjkjRjpVNhqW2jKArb/TmKLOpXCehPA4R7Q46uQZxywkAqL/+TcbwIGRlFzknSjDzPOLJCTtMUXVP42tV15l7MzY0Rm7FDFKdUbY2Fpk1/7OIUc/rDkTCHzLIM3dJQVMEzOLvUYO5HeEFCFGfM3IjhJGS5V8H1U7w0xg2FwFNRZB7sz7mwWidOxEwyTjKSRLzig5GHqsrs9uflWWFjf8arF7tP/Nv98T/cZ+fQwfFiojjFMgVR+tJa84k9my9qfl+3derH+qVPO1uc4hRfBPSCP3ZkkvYol+z8Sp2f3xQz6SyDtW6ViRcjyxKyLDGZR+iqgq4q3N+f4niRSOrIYX/ksbXvstgWs+s/+uvbjB1R82/tO0WdLKGqEmGcMHHj0uzjYOAxcyNUVREmFYYiHo9ElkGvKcxhV7pVNFWmWTtpVrrYtktTtYW2Tbth8duvrj7xb2CbwrxaVWRkReL1C136E9EDWFussjfwSq7kq5faNKsGFVMrB7K7A1fwmtyItV6VqDCCMHWZn908KBMujjiCR/OQO1tjHDdGkWWCKBUzwOI5j97TEaIo4Ucf7ZFnEGcZf/HTLS6tNQExI/XDhCDKMDSFoOgNPa8IYjwLGE4CLEOI49755LBMyTvOUTiCqspcemQe+0X1MXVNeaF7oqf4dDQqBkgP51xHc4gXCcsrj583XnQBB8DFpRfvXOyHCZqmUFMfcme+qjhlf32FULN1Xr3Y5cG+g2WoOF6MoshYhsJqr0atopcNOkNTkAFDl3n5QgtFVunUDRY6NqOpGNQkWU6zanBrUwxUFFlGkiSiKGOlV2WhaeKHCdN5jGVItOomF1YaGLpCf+xxmKZMnQRFAVVVaDcMNg8c+mOfxY7N3mDO1uEcTTkSkNR45WKb168s8P6tPrc3hVOhrEiYuoKuqULJj4g3nrkRohLN0VSZ5U6FmqWy3K1Sr2h0myb7AxdZgXZdkGjlsgGplge/NBWJBYOpz0f3RmWheBRBqR8T6B+5eqVFBGWa5iSJIMGK5xKOgPqncK2DY269WQ6Ol9A47Vm98HA98bmauoqmZlRttSzMn4S5H3NvZ0IUZ1RMFWNRCIs8P2HuRczckChOybKcmRuRZxlhmGPpCoahcHGtyds39vl//683qdoaZ5aqjGeBiBhPMvwoYTDxcQt3XttQWepYzNwYxZAxVJk4FWKtCysNrqw3WexU2Dl0uPlgjKEpaKpCXLhcVi2N9aUasiShFQ2U25sT9oZzkkQ44geRcOSs2jpBmKApQnCSpjnNisHF1TrXL3UZjH1+fvMQU1PYPHCIJUESyFJB9pgXA5WZH1O1dH7rtSV2DuecX6nzf/inL4EsCC5ZnvPhnT5JmnE49mjVTYIw5cqZFjcfjBhMfFp1k/OrdeIkZ7lbEW74BY5SM8azgJ3+nP7YF85Wa81Tt8lTnICuyUycgK39Ob22yauXntwwbFQNXrnYxQ8TXr/cww8TlCK9AeBffPssOwOXrYM5pq6Uw88kzXnz2iKLbQfL0njpXAfNUEp391bd5Bsv9Ti71MTxI7IsZ3/oUrE1ljoV0jTj1uaYJM341itLBFFKr2kVauZqORh5+VybmRvxd+9uszdwy6Hc2mKVME5AkkiSDEeN8JIEOZeYzgPRlMiF27xV3ENBnNKsPGwuxEmGZaicXawRJRnnlutFqljIB7f7TJwQxwv58x8/IM9zzi7V6DQtwihFRpBC/+ivbqHrKr/1yhL/8jsXyudu1y1ePt9mY9dBUyU292d4BcFs7kcYqpi05nmOLIn4006jeG5ZKsUcb9/Y5972DFWVWO5WMHSV5U6F5W4FTZW5tzthOAlY6thkuXDzlIq6QNfE56goEnd3JoxmAYamlET2KHnotuGHScnS7zYtuk2T77y+8tga9LyIkoy//fk2o2lAt2Xye2+sPdEx/RS/HnzvrTW2DkRixHQecvPBiDjOsG2NCyt1BpOARiXh/t4MmafHjmZZxtSNIcuQFJU4FkTO0UwQPs2iOVcxNa6fbZIrCm9d69EfB8RpSn8ckOY5aZoxdUKceUSS5XRbFi9faJMVaXrTeYSzPUEt3HmrliAkxknG6kK1FHAAxOnDAf3hWDRkJTjhdPs0xPHJNIrn+ZkjpGlWRLRmfHx/xNSJ2Bu4fPfNNUxdZWNvxmgqGpaX1hufKqB+Gla6VRFVP3CZuhEf3htwYbX5mRNwVEUuHdn1Y+vCKU4B4Poxd3cmJGmOpkjc2xbiiYWWxXe/tspar8KPP9wnSlLmXkyagSx9ekTxkSAsjFPCwjA/SzOMXIi1szzFC55MrjkiHx0h+AzpMXGakeWiDvGDhIqt0WtaZUx4FD//vX6KU/wmYjQN+O//l4+ZuSEVSyNLEiRVRQIUcuoVnbkfY1dsIMAphqqmrhLFwiW6UiT89ccBqiIThAmmqpABiqHw2oUemibTqhlcv9jh//c3d5l7Ed98ZYn/6795le+/s8PZpSpxkrM78MiyDEOXT6SHpVnO3mBOloFpSHhBwtyPMTVBPDgSn1q6wu+8sYrrJ7TrBseCP9A1pTz7HKXOuL54P/WqwZnFKjM3RpJy/tcfPmDkBwVhwmDr0GHuxlw73+Rf/c559gYuVUuj17KZexFxkpGmOZI0Kn9fcGztkoDVXoUsFz3OKMl471afLM85s1Q7QZ4YOwEP9oT71rnlxokB63Dqs7nvIMsSg7EY+MZphqmrzP3oi7swfgGkWc69nQmOG1OraFxYbf7CKT/JI3VZFH+1U8Q+L4RjssPH9we880mf7f4cWQJVlrm4UgNZJoqFocp0HqBpCkg5YZST5YI7FScpfpCgyEI8oMgSaZKzO3CY+zESEralcm65xvkVQUQaOT6KLPOtV5b4sx9tkmU5OUL80R/7WIbCG5cXCGNBKp66IR/eHXBprYmqyqRZzqXVBt2GyXQesdKrcndngmFIJElO1RaJPH4Uc/PBiI/uDclzITBxvRjDUFBlYdaw3K3y2qUu93cfOtzFx87GFVPl//KvXuEv336AbWqcW2kIklaal715AMcN+dMfbPD2xwdomoxtasjA4XBOmGQkaUZakEc+vDt47D6/uNak2wwLEoRevI6T1/nRv8M45e72hCBM6TbNx1I2sqLnP52HDKY+iixxab1F49Rc5RRfYei6yr/4LdHTtE1NGMpkeUl2AnHfZDnsHMwYTAI6DZPzK3XubE94/9aAneG8OOvnzNyYJ9OzBBpVg7WecPb1gph7O1N+/slhmWRctVT8UCQP1W2dVy+0mHkJa0tVwkiYzbSqBnpB8hpNA/aHc0bTAFNXWWzbXFprEEQpnzwYEcXCsCZHIidjMPZIkozFtsVb1xapmhpBHHNnS4jaDsc+/YnLjY2hMImqGLSrOnGao8pCtDH3Ivww5ubmmCTJsU0Vy1TRNIV23WTq+Lx0ro0XJLh+SK2is33oIEsSzaqO6ycsdSqlCVUYC2HJhZUaw0lIr2UhyzJBFJ0QcUTP6L24x86HeQ4zNybPxcxYkqBVNTnSqx1/nizLWetV8QIxc26eOu6e4nNgo6jH15dqp4mVj+DNa4u8c6vPz28e8Iffvfjrfjmn+DVCGI+q7A89WjWDi+tNXj7f5uONEaNpwMHQZW/o0m3ZNKoG9YpG1TbYOpiysTvn2LaMKouZWRAJoYShy6RBJtK9ZXGO7jYMRrOAd2/1yclp13VmrkYQZtQrOl+/usDd7SkgI8swm0dsH8xJ85y9oQdAEUBPt2GxG7ts7E2FEEORqdoaZ5eq3N+dsX0oRIiNikG7kRMnKf/w3g4SMlmes75UE5wCBI/m+FnhWXMFL4zLx+qaQqtmsNKtstqr8v6dAVn2eI/gFKd4EXF5vclkHiJL0mPE//MrTX77tWUORi69po1pKGx/sEcQZawv2ARhyt7AJc1zKoaCqalEqTBIVlUZ1xciKEWR8IMEWRIzOkVVBE9PF72NTk1HlYUZJICuqnRbFpNpiKYKAZWpKIzmAbWKzuX1Nq9c6BBEom5/dI73rPf0KJY7Vd68muOHCa2GwZnFOkrBi/j6tQXCJONHH+xhmxq/97U1/h//8X3u7kxoVE3+8LvnObdUJ4xTTF2lUTPojz38MKXXrJ040zzGEZRgpVshiBORYlE1Tryn0Szkhx/sEiUZl1brJ57LDxP6E5/ZXPx9mlWds8s1wijF0BXSLOOje0PCKKXXsmhUDe7vTst162Dk8eG9Iboqc/VMm4ORx9wTM8iarTH341JM3mkIM9I4yUrew3HsDuYiMUWTnypyO8UpjpCTi6SsaYBuKCd4Ay8KRofBY19798E+b5xdesKjXxx48Yt378ZZxtgJSFPQdZkkiT/9h35Dccru+orBNFQurNZpVAy6DZN23WSlW8UyVZY6Fa6cFQ59cy9GOyJoxzmvXuqw0K5QK9yEL621OLNYp10zubjawNQV4ZChyCy0bLIsR1Fl4eprqaXyP8tBUWShdk8y4iwjCDJy4GDosz+cI0lwOPHYOpwjgRhMTzz8IOLnN/vcuDdifyi+trHnoMoymqbgB8JhT0QnK0I2kUsgSXSaFnmeU7MNJEkiTnJ2Dl10XUFVFLYP5yRJSp7nNKoGaWFHoKoy3YYlYu1bNi+fe+hgeGG1gf4IQbJRES7muqZQtTVxEFyoUrVFk3R1oVpGuj0LX7vy0El4tVdhuXOqVP1NwG+9tsxR77Fe1fneN84806Xt/s6UIExLBbulq7RqplCQyxJuIVZygwQ/EOTqtCAVd+oWaZrz0xsHjB2RlvG37+wxDyLGM5+ZF9Ife8znIXmheA/CFFVRuHKmhW2qwsXPVLm42mR1sVaq9lcXalxcE9GkcSoKfVkS91oUZ8iyxE9vHDB1Ah7sz0pnjeE0IE1TJAlMXUTx6bognCoyVG2N1YU6K50q7brFhTUh+qrbOrahYekq7bqBZahULY0oyVBliUZVp2LqvHqpx//uH1/FNFVMXaVdN6nbOrqmYukqSZozmYdcO9fCCxIcV6wZXpAw9xLOrzSeSJ6WZYk0E42so7jzvYH7S7lGTvHi4uaDMXsD4QAznkW8f2fw1Mdahrg+TUOlVTdPuLXqusr5lQbXL7RBgoqp0agaWKb4mTeuLPD1q4ssdWwqpsrVsw/3patnu/zBb5+jaumlqy05VCyVyTwsHLw1ojjj4mqTbtPi9cu9E85WiiLTqptULU049MpiaLfWq3LlbJuKpaGpYt+tGipplhElOUmaEiUpmqYwLwZ+3brJwdglz3NUVabTMFlo21imVqZavH65RxAlJHlOLuWMZmEZ6TqcBZxbrtNpmFiGyg8/3CPOcsIo5fvv7LA7mJev+2DkEUZieOoFgpQaBAlBlFKvmqQZJJkQZh1FoS60bCxDxdAUrp1tsTeYc3NjTJSIRID3bw9IivQPL4j5wQd7JElOxdK5v+sQxxnnVuqYukLN0ui1LOoVkSay2LKxTJWDkWhUa0U9cYRe037YFJbg6y8tPnUNeh58dHfA/tAlSlJ2+y4f3R9+ruc5xS8HR+6664s14lQ4MKZZTuDHBEmGpimYhkrN1o5Mrh6DhHDLStKMjEIonEMuSWSZEAkbmkKzIu6tq+c7/LNvneXVSwucX21QrxjC9aVqFEMZhbggRzQqBgstkfAnGqE5aSZcfUsXbEni7HKNy4VD7xE6DUs4BmeCKGEaiiBnPsestV41irQv8QY/S8KgWD+NUmBpGgr9sc+7t/oMpz6HI48kzYpEnvmnP+EzoGsK43lIluUEYcr9Ip3gs0It1tdTAccpHsW9ouaP45QP7g6QFYkkzdgbepxbafD7b52h07SI05wwyVCfw+VZkUFTJY4/UoKScGMaKr2mzfJTHFgvrzfRdTE0UVX5sXv/WVhs28zciHlhGlG3dKaFy7VW1AOnOMVXGX/6w/uiKV2YMUQpyJKEJEnUqmaRvKOR5xAlObquoqpK4d6fCzJenDKYBMSJcIIWSZgSiixRMTXOL9e4erbNQrvCH/3VHeIkw9BV3v74gNEs5HtvneHiWps4Fa7SiiJjmzq1qtijZFnC8SIhFpOgPw3xowRZkkgyiZWOTbtu0a5bvHKpx2qvxsXVJr1WhXPHkjKOiIXt4szTqptUbR3b1FjuVOg2bS6sNug2bGGEkuXEacZgEgrSuiJxe3PKeBZwfqVBr3Bxq9riuV693KFWnKVkCb51fbn83WuLNZo1k5qtYxoqrh8RFgmk93amZd8vy3Lubk+J4owoPkr6EtVYkorHHjlozwPRA8kyIYptf0nSKA5GLuNZSJJmjGchB6NfvF+x2LbLPcMy1VMy5udAnKTc35uyeeBwe2vKYBKQpBlRkglhdS6x2q2hKjI7fY/pPMbURJ/a0BV0VSrcLBWqlkYOKIr4UDRNIk0hS4WoWlUU6lWTs8t1mjWTi6st/vE3znJmscHl9Sa2qTH3EyqmRr2i4/gx9/emVGyNNBUkay9I2NifoSoyawtVarZBu25x/UKHs0s1rp5tUTF12jWTVtVgoWkjSxKzeUS9orG57zBzI3RNLmtxSZJZbNt0mxb16sO+x6N1//JChTdfWuTcSgNJEtefZagnBFWDScBw6tOoGuyPPGbzkHrN4ObWhOk8QpVltvcdRrPgsfv8CI2qQbNmlL3Y5U7lyHeJivUwbWZr32HuxSRpxv7QK9Oyj6DIEu26wcHII01zLFPjwd7nOyOc4hS/STjqaS4WMwRFlk64AC+2hRBzfyjWiDgR5gxnl2pIsjB6kCSpEA4+W7E+92MGk4CqpbGx53B/d8rhyGdv6OL6MYdjH8cLxQzAi6jYJoudCp6f0GtapFnO2Ak5u1JnoWUzdaPCEAqSLGPmRVxYq7PUqdCqWZiGBpKMbSrECfhRWqwTok95/VKXN68tUivmg3GS0KoaxEnO3I+5uFLn+sUezapOlkOeQadpcnt7iuvFeEHCbB6K1z4S4rCr5zpUijSjetXE0FRyYOpGjKchkiyxP3SRpKJXlImes6qorC/WyqS3y2eapdGLokgsPCMZ9K1rC+Ve064ZNKs6aZYjyxJVW8Mo2GqyLJWfM4h0xmbdECnPhspS9/n7O6c4xRGO0kAvrDQ+5ZFfPXz9mnAF/vDe8IQJ5Cm+euhP/DJ1PohShhOfbtPmrWuLrPSqREmOoas0qqLff+Vsh1cudLBMHdN8OHuSpYezb02VycnxI5HqpIhIDyRJwo0yXC8hTjImTsT2oYuiKKiqjKWrhHHG976xTtVS8fwESYJey8T1Y6ZOgOOGxEmOhCDlTech/bFPmuUoqsTG3oy9oUuWCwV7nIr9OYhTdgcubpAQJSl+GLNzKBKqVFVmpVs5cVZYfsZc4c2rwuRCkSWaNUHsvrze5N7OlDB62CNI0lPTmVO82JAkiVbNfKLY4fJ6k+VOlZfPd1nuVfnkwZgkE0ZPe6OAvf6cNMsLs8aUWsVAVxVURWZ9QSTBHZkZXFprIssSkizuq4trTSxDo14xMA2NVsNAkWUUWaZq6+iygmVqqJrM5fUG3bbFmaU6vabFWy8tYpsa7br5RCO2Z72nR7HUsWnUDBY7FRpVk/7Yp14RfY3b21O2DhzOLNbpNiz+x/96g9vbE7JcGLv81U+3ixmtLpLQ3QiQsAyV/sQ/kWL3KEfw9SsLVG2NqiV+9mvXFk68px99sMfci4milI83xifNJlbruEEs5sVxgm1p2IboTdiGhh8UqX9pxt7A5f07/XLd+vBun7dvHBAV55KffbKPd/RcUUqcpAShmEX7Ycp2f44fJCd4D0dw/ZjtgzlJmuEHCRvHTDhOcYonoWbrNGvijN2qmc/ch7+sePnC44a8L7qAA0BTXjwjpg9v98mKILg4znj39ujTf+g3FC+eBOcUvzAkJPpjjwcHDs2qwdVzLZIkZ3NfHH6+/coSpi4zc2Mm84DBJGBr3xFxylJOo6KTZhn3dyZ8dH9EluecX6qjKRKHY58P7g5Is4ztgyk5QvUqyxJBlLI7nFP3hKtgmuXEcUKSwge3B2iaQpqmXFxvsd6ustC0yIGJExLGGQcj4e672xdErKqt4ocxcaphqjLjIMbKNSxDLSLTJbwgxi6iwWRZIk4zRO9SHErTNBMCEwmSTEQwuoGIr/ejhEVNEFWP8FuvrXBhrUl/7HFjY8T/67/e4OrZFq9dXuCv396kPxHDpG9dX+LVSx2SVDikeYFo6D4vOe3iapNbm2OCKOXl820U5fO5B5/iy4VvvrzE2kKV/aHHldU61eqzCUxHDYPb22O2D+YYmoKhy9y4N2bqBZCLFBtZkgiiGFmWqVY0LEMjSTN+fGMPx43wwoTpXEZVZHqNBsNJUJAyYoIiOtTIZJIkZfvQIUpSFFmmVTP5+tUF6jWD2TzinVt9Lq83qdk61862GEzEQME0VJIkw7ZUVro2//Gv7/DOrUMm8wAvEK6AlqGiyhJrCzXmQUyW5Vi6SqWlk7VMkhzWFqpsHcx4+8Y+EkLoMpgGuEHM+kKVN19aYjIPxRoQAXmOril892trbPfnGIbMcOJTL4aucy/iRx/u8c4nfUxT5fxKnZWeKCR/9skBm/sO7bpoJgEgweX11hNdfo4cA45/NlmWc3dnwtgR5PirZ1onIh7nfsztQuG/1Kk8FnOcZRnf//kOO4M5NVvnH721Xr72U7x4CKKE4dQnjFI0VWZ98cmkSC+I+MufbjF1Rbzw+kINTVW4uNY40YToNCwqphArWYaKHyaMZj7/8P4e4f6M1y/3RPxu3SRKEuJYuOnnOXRbVukSr6oyl9eaSEii+QqcXapz7Vwb21SfmiizulAjR7hl39uZ8ic/3KBeMXj5fJvp3GfuR0znsXDfqZlULYVPHow5GHgkWcZPb+xxa3NCmqXc3ZrSqBn4fkyGSNQIopR6RSOMEw6GHq2qgZTnggTiRaiKzNwL+au3t3j1YoeXznewDa0gr2XM3Jg/+svb1Co6siSc4vJcDA2RMgxdOJiapkqrapAv1+k1Tc6vNGjVTWRZ5p984wz9iYepCzHNg70Zk3mI58fM3Ai5JZNlGR/dG/HhvQH3dqZYhopSpCl8cG/Aaq/KP/raGrIinEh2BnM0VcEyVRRZ5kxBdpl5Ee/d7qPIcvlZv3S+xScPwDZU1hfrT/wcnoQkyfirn21yOPbRVIX1XoX7ezPcIBbRr5w65X6ZkWU5h2OfnUNBMMryXER4Swq9pk1UTdg5cHl0ZJAjBFVSDlkxoM9zyMgJjoRPE584TdFUhb97T+Z3gR9/JBp3i22Lq+faDMYeD/aE66UfJjRqOottm1cuiro1TlIhghj7GJrCG5d7LHUrBGHC+ZX6YzWpoSm8eqlLkmasLYh9zjLUxxIC8jzn3s6U4SzA1BWurLcwDZWXzndw/Rhdkz+ziOnSWpPR1Gc2j8oGb5IIB97j+EUHMGmaneCPnA50TvFpGEw8vv/zbfwo5dJak2+/svzMx6fZcQdTWGpbwvxAkojjlP/4N3e4vzNm4oq97nlEUmlG4botuImKJAif7bqFqsl4fsz/+Gc3+U9/c5dr51r8H//Fyyfcl5o1k3/1nQuMnYBWTcc2n69GHTuBGILGKTVbrC+yLLG2WGWhXXlm7XGKU3xVkKYFSSIHScqpVUTilSJJVCsaO/05np9iGwpRnOAGCRJCmA3ClMQyZDw/YuKERdpTm2++vMjByOOlsx36U5+d0RhNFiSJyTwkyXJ0ReL7P99mHsRYuspCy2TzYE6cZFw92+Klcx1ApN3+9MY+w6lPlueYmsKFlQZZmmMYCo4bsl2I1rvXF9FUGccL6JoWrZrBcBogy+L9/Ze/u8vUjVhqV/ju11YJuiKd87gjNJIwdTiceBiaQibnHAxdkjynYoozwBEePWf/n/7lS2z2XToNk27DKgeWtqFya3PM1A1pVAxcP6E/cchzaNUM/uuPNhg7Ic2aQbMqhtMg6ugP7w3xwwTLUEmyHKUgfFdMlW++vIgXJNQrOre2Jnz/nR00TeE7r62wemyou7k/Y3/koasyl9dbv1QR53EXvyf9+2kI45Rbm2P8MBEmPWuNktzeqot0ySjOqFjaqRvy58ARASItSMqyLM5+aZ6TZzn9cVCk64rrOggT4kQ4vR+FVkmApuUkeUqaZSiyEE9nuTgvZ0g0q8LJ/hsvL/Ly+e5jtfV331znnU8O2PuJw42NESBRrxi8cr7DpbUmtzfHbB/O2TwQAo4wTnnlfEek3rgR/anP3I+5drbN772+Sn/iCxL2yCNKMmRJkKYqllqeQyuWxmqviqkLkxVJkrh6psXMjXiwN2PzwGHrYM7cD9kfekycELkQoX3362tlb+TyepPRLOB/+ft7vHOrjx8krPRs6pbOhdUGL51r058GhFHC7tBl69AhTjOaVR2QRD0FzNyIO9sTUdcLw2EMVeHymSavXewSpxkVU0MurvMn9QAfxepCjfUlIZhSZPjh+3u8f2dAt2Hxva+voX9Og4ZTfHURJVk5X2rXTb731vrnNvr4MuHccp1uUxCVqpbGcOqf+H6UJDzYm+F4EbahsrpYZaldLXuYjyLLcu5sT9jtz9k+dEjSnP7YI0sz4ixnPAsIozmaKqNrMuuLdWRJ4tyyVZJAOw2Lmq2TZBl+EPPurQGb+w5pllG1NWxDpVnV+dnHAw7GLmmaEScpsgyqrFCrqgWRLeP+7oxbm2P+y9/fxdBULq83ubja4Mb9EVMnIIhSuk2LXsvizWsL5HnC//Tnt3H9hLkf/f/Z+68YzdL0vhP8HW8+78JHpHflu6s9vRFFSuSOVsIA2rlZreZm5mKxuhag+70idLXYiwV2B7vAYBfCEqA0IjQkV6KaZDe72aa6qrLSR2Z483lz/DnvXrwnTkZEmsrKru7K7I4/QHZl2PPFd877Pu/z/A22pSNyIw1N0yVpq2RimRoHA496xaJTd6iVbD6832Vzf8x4FpNmGSudipyDKlIwEyMTFXe7M2lENYuolU1+rbnMO5fbeEGCY2nPTSq9vNrgX/7hmxyOAlZaLn/23UfcXO8XaahvXmwz9SIe7ck9pV62aFZtHu6OEUIw13SYb5bOnHvP8FK4n4s4Li2fiThOY2WuTKfhcDjw+eh+j6/cmP+iL+kMPyP87U92eLAzwjV1fv3Ly7TrJ00+j856e/0Ztx8NiOKUG+ebXD/f5Ma5Bnc3BgwnATNfpjQGYcKPd8dMZxG6qlBx9Tx1URDFcqYgMsgAXVMwTV2ariWCSEuYTiOiNONw6BFGMh3QcUxMQxpEmYbKQstlsV1iNIuoWvJz802HqS/3pNFMpgp//c0F2nWbsRdhCBXX0okTaaag52RwRQHb0tAV+OGtA2Z+TL1qkaaCRsViruHg2AY31/tcWKqy2C4V/QU/TLizMSCMUzp1hwu5IOxbby9zYbHGeBbRrjqUyyaWoZ2YIQghawxekI6zuT9hrzdD16TxzYsYuP4iYjQNub81Is0yVucrn8mk6ww/exxfT7757gK2pdEbByy23SLx88iEsWQZIECQUS6ZXFyscGdrgqWrXDtf56N7ffb7HrYtZ3r1ikl/FNKu2ZRdmTAXRin1chVNUTgYSIPDdl2amnVHAZah0qq7XFptsL49ZqHpYls6/9f/708Yz0LW5qv8t79z+YV5cb4f8T//xV26Q4923eWPfu0CKOAFCc2aTXgsWTxNZD/liB07C2I8PybOMjQUgjjlncttgjy14rsf7vD3n+wTJhlLrRK/9qUVMiH7AtfONU5cR7vm8N//N2+xfTijU7Npnkr1+Xi9W6T+zDdc/rvfv87WwQRNVWhUHSzLIAwTdF2lWbW5tFIvepL3NocnflaSZEX/Mo4FWQZq/ueKE4HvR+wPPMqOQavW4PxilSiRqR7hqXT042vgEzPV7GwGeobnQ1UVJrOQjx/2KVk6FxZfnOfyqmDqPZnEsdebstB6/VJFjsMLX78efhilJ3glU//J9+aXBWfT818QJLmT7ovg/taIvb4cjMoDzZC93kxGfyUZ/XHI199alIkS+pH7l8ZkFqErKoeDgKkf86M7hwRRQhxn3N4c0B15RIlUdUZ5tLCCQn/kE0UJ7bqDyASjaYRlqnnMek5KQ5LGusOANBVUyxZfujaHrqmUHIOyozP2Yul24xxFf2VYuoaqqUz8mFrZIk5T9vozqiWLNMtoVqV7d61kYugqFddEZEK6DDo6Wp5oUCuZ7BxOSVJBkggmsxgygecnTzjYzTdd7m+P8IOYOM649XDA9z7a4XDgg4DRJOTh7hjnSCVrG7Tr7omDixDiuQSw732yj2MZNCo2Hz/oP9Hc/mmQ5uTzM3wxWGqX+fK1uRMCjqfdD0IIFtslxp6MHhVCOmJ//+YBQRQTRRl+lBKnKV4oBRymrpEmAl2BhaZLHKWEcSqfREWhXjEpuxYLrbypkbvaGZrGzE8wDAMhFLb2Z/hhipM3a+5tDAF5MHi4MyaKU7YOZqzOVaiWTOK8+J+ruxz0fQ760nk/jlOyVDY+0kxgmBqappLlTqNHLuCNmsNc02EwCbi3JV3w4zTjOx/uEScptmWw2/dJ04xOzcG1dMIoAxQaVZs7mwNKtsxjPRz4hUPe+s6I/b6PZWp4fowXxFxeafBgZ4Sla7iWzvrOCD9MaFVtxtOIw/xQeRqduiNJ4UhS/EKrxMHAozuSQ/eZH7F9eNLp+9HuuHAU2+3OCqX80Vp9b2skv0fAZBbxo08OnnAJPMPrg2bFQqAQJxlJltGsPt3V7Md3uoymEUmScX9rxGbubHAUF34cpqHh2lKYWC2ZfHC3i8gEpq7xyXqfwTjg727uYeo6Jcfgg7uHBFEsyRKWjm1J57VO0z3hEnF+qUq1ZD6XRPnWpRZlx2A8C5kFMbapMZwE3HrUx7EMvCCVbj0o+GHCYBJJhbQqyUBBmDGcBBwOQwSCjf0JN9d73N3os304RRHwYHvM9uGM5U6ZWSAbErquYRkaU0+6XOiayicPB+z3Z3zrnQUUBYIoxbGl8OLWoz7bhzPSVLB5IAeGhqph6irNikPFMYrkjSurDSolk+VOmSTN0HWVxXaZRtVG5MlDmqpIopqlUSkZHAwkYcXQVFRFoT8KGE0jokQSyqZezGASUnKMPAXJpuoaDCdyHTq3UEHXVXYPZwgh67X1nRFeIJ31GhUby9R59JT3/1n45FGfg76PyASPdsfc2x6x3CnljoECx9K4stZ4oulytv+/GtjveYRhTHckHaeEEIwnMWmaUikZuLaBqj37gH30DmqqKonceS0dJylhnOH5KTM/YTAO+JO/uo/nxyBgfXvM9v6EmZ/ghwnDWUCUpKSprC9MQ6NaMjF1Vbp1Gxoosnm31C5zYal2onmaZY9rFzmskOREN08POp4wBFKU3RtJAWoQpmzmzlmaqlAtmS9FTlEUhbcvz9GoyprK1DVuXGjSqto4ubOYpikn0oZeBq5t0DxKDlAoxCpnOMOz8L2b+/hhCgLubcqz9vOw3JFuVoqicHGlhm1Kx6XzSzX+7qM9tg6mBJEoFoAjZ/xPQ7HiK3IYa1smuq4Sx4KpJ8/TXhRz69FADiVOCQBdW2e5U35hAQfItSZNpcAziOQgyNBVVvJzw5mA4/n4tD7BGX4x8E9+8xKWoaGqYBkG8y2Xasmi5Jrs9X3iKAVV4EepFHAoyCFkmCBQ0DWFJBMEkTQlyYRMmm1WHa6da+JHCaNZRBDGBLE0Kcny5psfJoxmIUII/DDho9yYRdMUHu2OGYyD4vyRxPLMrSpq4eRZKZk4psqtRwN0Q0c3dP7Tdx8xngS4lsHEi/jgXhfL0DA0jf/8gy2ZxCNgrzfj3vYQ19KLff/onveDmP44lGRvVSFNMrKc6K4pSuGOD/KcHcVp4UInFIVLyzVaeT3g5ql/vVHAxItxLVmnd0eBFLcJwcbBuKhLhuMwd9iTMHSVmRcRxTLx1Di2br11sU3JMalXLFRFyXs1EEUp37+5V3zd1I/Z63kgpCj+0d7Ta/3P65mfa7qYhrxO01BPuJ4/D1v7E5nqKqA/DuiPTw5IbFOXAqMzAcdLwTZ1Og1HurhXLRZaLoauIVKBbeoYhjxfSlHG4/SX5NgtIZD313ASYekaYZSSJIIsy/DCBAWBZaiUHJ1z8xUQgrJjnKitvSBmMA5lKnacEcap7JFFKY3cvXa/NyOKU2xD49GOFCBVXBNNU2Vqr6qi5KKITEixqBckRFFCmgp6o0Am6Zas3AVe9vMtSytEoooiDZ6CSNZID3dH3FofMJ5FrO+M6eaisQ/uHBbXrigK9zaG7PY8DE0lSlIOBwH1isV8swQovHmhSX8SEEUpzaqNENJFsl13int3fWdEkkhn/U/W+0Sx7Jdu5KZVFdcsBBwge7dH/y45BvXKSROeLMtQFJlY6pg6j3YnsjYT0B36fLwuHeM+yxn8KOHnDL+8uPmgW8yX+qOAD5+T8AufbR74RSJNM9w8VRukWPxI2KiqCkkq6A4D6mVLpvt6CYttl6VnJDl0hz7D3FBpOA2Z+jHN3KxF5ImiqqqgKQqHwwBdU+g0bHRdpVa2eOtyBxTZc7VNjfWdCaNpiKqAoWky2djUSTKYBhFJnDKcBIRhhmloJFlGmgrqeXra1Jdr7MyXhnjru2N+cveQLJOzmySTM9Cd7oz7W0PubAwJkwxUaQgUxgmaqmKbKqahcW6xSqNiMZ5FxEmGY+pSgFo1GUwCUBTplu7Lmk7VFEQGqZBpGUeJwDvdKVNP9p+/99E+uiZ7y88TcByhWXO4ttbAsgwOh3K2omkqu91Zbr4TEyfS7GIwDvjxnYO8xpKzmeMmVyfuhVPr3OtyD5/h54cH20MALi7Xv9DreBWhKApfuS6FG9/9aPcLvpoz/KywtT+RiTRCnv9/cOsAkLP5KE9gadcdbEuTYvxAfuze5pDu0GOvO2M4lSkWQSRTqba7M6ZBTJwIDEPL0z1l2h8I4hRSIe8xXdMIIpkAqud8A6HKucPMj+TZVVHxw6SYKSRpxgd3u0Ce0CSk4dpiu0wQpmgKWIY0lxiMfSquyVreWw+jjPmmy8XlCmkm5O9VVZY6Je5ujSi7JoqisL4zhkzWEN//5ACRySTBhzuTgocDUlgR5meNw4FfzOgAFttlrp1r0mo4cu6BFEcdoVWzc4PYp+P42f1IMCkExMnTZ7vH8Ytc56/vjAqzsY29yZm53CuANJUmZ6fXk//w7YeMZxGWqTD1YoTUcqEga8mqq6Eqsgenayq9SUw1T5j78e1D+pOwSA//7kc7xImg5Jh4YcIPbx2QCfKU0Skfr/dRFOmofn9rRG/koemyhr2/NSSKMpY7UrT97799n2GeVvxob8yP7hw+8cwcvaYjHNWQf/PhLocDL69BPf7sOw8RmTTP6I8Cqq5JJoQUGS1UmWvlvTIFvnSlI/sFAoQCq3OlYkaq53VvlNe7vZHPnY0BVdei6lo82B49cc4vOybX1hpPCDgA7m8Oi77s4cDjOx/u4lg6pqHxycM+tZKc2Zi6ymK7VHBCDF2uh0e9ibJrcPWYgOTKWoNzi5W8nyRYbrtM/Agjn/HGSYZt6bi2nNveON8sEnfrFas4nwFUXINanp561Os4w88er/N5aK83496W5NwlqeD7n+x/0Zf0mTHNnpJuF0+f/Nhrhjj6/LjFPy/4UXzy3/4vb/LgmR3Ga440zbj1aMDMj7FMjRvnm89skh0hO+Xtm6YZ/VHA4dAniFKEEAjR5ivX5/CChI/XewwnUU4Ckf8/iuITG4oQ8v/IhzkikwWhoak4tkHDNVnqlNjvefTGQeHCjxCEcYZhaKiqQqVkcGGpim3p/MG3LvD+9Xl+cGufncMpH633yDKBBtimLF4uLdeYb7uITEYxDiYhhqaha3KwJIRgvuVyebVOmgmmflLECF9ba7LcKeMHCWMvoteb4VoalqEShNLl9Oi1ncZgHHD70YA0EzSq1hOFzPMGNGGccuthnzBKKTkG1881nnAWErm6VbohB3xw95CVuQpXVuuFK97LYPtwyvbBFEWRUW+tpxSSZ/j5IogSbj+UzhBl1+DauWb+XPfzQalCu27jhynbh1P8QDotJZlAEVCqWqiqylK7jGPpRHnUXrPqkCQpYZTSaTgoikLZNfnDX71IGKdMvIgHWyMmfkx36HF/a4hrG7IZlMhh5MbBmNsbA0xD5dJKnevnmpJIkV+7pqmcW6gyCxLpmJFmHH32SFQiBBiGFIJpqoxkbdVt5uouAkkUGE5DXMtgOA0YTUMEEbapk2XycORYulSn1x1+ePeQ4TTC0OHCYoVO3WHrYMKdjSFJmtGs2VxalkpfIaRArFm1iRPpAtGpO5JAriiFS2ar5hTuUNkzCmVD13jrUpswSrAMjf2+x0/uHvJ3N/dlakjJ4DffXz3xPcd/Vppl3FzvI4TAMjWun2+ecF32o4QHOyMcW2e+5XJu4fVTK/+yQ2SC8TRkOAkpOfozXQqK/aH4n+zkx3NMvYjbGwNJhKzZXF6pP0nKz04RAoR08F7ulGnVbBDIFC3g3GKV+aaLoipFk/J5sAxNCizjDAWBoqjHrlPBMTU0XQobFKQrQ5wJsrxhZ5katqkTZ5JAHkUpuz0PkELJOMnwgoQky2i5NgstF01VWBnOQCgkqRSHIQQTP+ajB13OL9T4H//pW9zbGktS1NHfVMjUq1rJYjlvDvtxSq1ksNQp8dUbC0z8RJKUcjeejb0J1bLJ1dUGXphw59GA4VQOd5tVG9vUuXauTsk2GU1DFEU6EiuAZaqE8UmHiihOebg3JopSTFPjncttFtslHu6MWd8ds9f1WJmTRJAj4suJ++IzHNKPv+cC6ZTk2iZff2OBSys1ojjjzqMBigIXlmq06w6b+xM5bFUlye2I9H6Gnz+iJGEwDQkj6UJ9JBxCke76ihBYhkKWD/qfhXrFREUhyaTgYjAJpXNvlqGkymP3qGOQrvzyY65tUHGk2+xwEvKj24e8caGJQO6PUZyiaSoC+OFtOZBfaLmsLVQZTUPu5o3HTkO6WtUrFu9dnSNOUhxLf6JePX2Pf159KdfW+cNfuchwKpuyR463b15oEUQJpqF9LqTxyyt1/E6CpiqfetY6wxnEE/v182/4TsOhVjZJM4FjSRH10R7+18X3ChTl8bPzIidCBdl01zU1b76XmAUJEUnu9poRhtKxaa8/e+K6XwZHa4yhq6wtVnnjfIOyYz7TSfcMj+GHCbce9omTrKhR1DPi9C8kLizV+T/84ze5tz1grVPh4cFUPn8KHAxmHA49hFBAEagaKKjF89ypOYRJhqoIDF2TxGMFkgwe7IxIU4GuKXx8/5DeKETXVZbbJd67NkccZRwOpuz2fDmsVXl8JskAHe5sDNjv+5iGSqNq49oGQghsS+f3v36OJMvQUfj2B7uPe2Y58cMkP4MfW0uyTJwQAOwezpjMYlRVYaldYr/vSRF8mtKoWqSpgaqqzPyIkmMSRintuhRMHOGol5EJUQhQoyTD0FWunWsUBI7TtUfFlUYpQgg29ydyGJv/2GbV5p3LbVAkCeHP/+4RfphSdgz+8bfOs9Auo6gKInf4TlKBrionFuPsWPrF6QHc03qEUZzyyaf0Bl8UMhmtI/sVpv7CoovTV3VmtPf548JSjYVWiXevduiPAz552OM/fnudKE1l+kaU4bqCZtlGINjtzkhFgjj2Xhi6RskxME1VGhwJckKESqfpMt9wmQUJ/88/u0W9YnHtXJNLKzUaufAgE7A/8Jh4SWFsZFsauirJWueXqux2Z7gzmSaZCVHcs6efo94o4N7WEM9PSLOMWsni/FIVx9ZZbJeI8wQ7Q1d582IL2zqZwHV6lpAKgXL0WvPZwhN9j7xnYpkarZpNo2rz3tW27DMkae44L/K0jyaqqmDoCt2hz2AScGW1gRCC4SQsBFzNqs1cw33mObxaMnn3Skcay5j6if14v+/xVz/YIkpSljtlvvbmPEma8mD7MXkrzTIe7Y7Z73uoqsKV1fqJ5NXTGIwD7udEkMX2k0m+Z/jlwOnb8VnzpSwT3Nkc5ImUKtfPN1/Z1IOnzaI0VeHG+SZBlGDoGo92RyiKQrvuUCtbdBoOv/Lu8jPP8UfPraIotGpOTnYqM8wFDn/zwXaRklx2Ta6u1llbrBU9fU1TmW+4pJmgO/Rlvx6KtbHiWiy3XXrjgM19nzBOiROBpmdoqlGQqQBsQ5OCT10ljFKEksmE1CQlCBNUVV5vGCd8cLfLft9jvy+NnkSeMF4yDVp1hzjJOLdY4ZtvL5Jmgg/uHrLbnXEw8NHHIYahcXmlzngWMZoGhHHKXN2hnNc9jqVzeaVOksp50O2NAV6eWjzXfPlzXqVkFveXnpNbn6hzjremxdH/O1mLdIc+6zsjhICluRIzL2aU38PH67cz/PJiMA7oj8O8n302G3savvXOIn/2nYd896Nd/sd/+s5Zn+UXEKdX6zQ38frbD3dIU8HlVZn2+9bFNj++c8DEjPMzRcqDrTG9sU9/FNIdzhhOQhShMvNiXFsnTFKyVFCydOJUkGYp6dGRWJFpwKauIlCplk2mswg/SpnOIhRFQVVVLEvD0lVURWWxVWKxVaJZcwhCSbRrVGzKjsnbl1tUXJMHm0MmnoplaNiWxupChZJtEuV73ngWcXmljqqqfPPdRfbzmZ+KYH1bpgQutF3CKOXiSg3L1BkdE2acruWfnD88f/9baJWolkxuPxrQGwXMApk+eLr3f5zHUXFNluZOcoKe92t+0ev8n2bOeYbPHzvdKVv7svY+LUoKw4Sb632CvCaulAxMo0wUCWxbwTR0wkTOJMuOSRinzLwYRVVAyFS6JM3kWmBo1MuWTIFQYeJH+GFu5qTJ2eQsXxfqJQvbVBnPEjQNKqWT5+IwThlNI2kGq6v0x34xj5xvuRi6Wrym84tVhtOQwVimEk+9k6TfNDnZ1NL0fM6aCUxd5fxitZjxrW+P+bX3FhlMYsq2wcXlk+katqUz33TJMpm8ebzX+VnvcsPQsPNeCao0hThClmbsdqds7E2xTb1IEDpCrWwVvYmjuWurJo2zbUuX86Lc/NO2dDp1nySVvdiyY/LulTZh/Liv0axaUih+aoarKApX1xr4oTzbvIjw+wwvj9Mc3+vnmy/E3XmVcLp39zqaiKaDL/oKfjZQ1NcvHczQNDjGYxfqL+8555f3lf+C4GDgM/NlgRJGcnDxabi00ijcZC1T493LneJzo2lQFNi9UZhH8aqUXQPH1ACFRsWmVS9x/XwTQ5fEqKtrdc4tVNG1vJABEBkik6SUdsNh52DGxI9oVh10TSHN5MBV0xR0Vca8v325jW3qhdPOXNOlVpbRixcWarJ5q0oy+rnFKrqucXGpzrtXOpC7811dq9OfBLimjqqqhFFGkgpETjRNMxmb3K7Lw+TEi6m4JgvNEmGcUXYMOg2XTkO6GVRL5hMKeSFE7gqQkaUZK/NlKiXZaHQdg7cutvK/Z4gXRCe+d7c7wwsTopxIfzh8Ugn3pWvzKIqMe59rupQdk+EkZHDscAry4BgnLzZljeKU7YNpfv1Il7AzfOHY7c4K19upF9Md+uz2ZgSh/JhrG3TyuFRVUaQKOi+qDUMtngXH1qmWTb50bY6LedxwyTX53a+tUSlZlBypsDZ1lZJtsNB0mW+VaNdsSq7JmxfaWLp0yquVTTRNuuoJBKaus7E3ZjD2WZuvYBnSSS9OUjIhKNky9lsBOjVXqsM1BcPQqLoWhibV41XHwNBU6mUL3VBQVaiVpZPGfn+WD6YtkiQjFRmXVuo4lnyuLq9U8ZMMy9CxDA1d00mFdMRTNbUoDD1firKSJKNWNmVcuyJFFqtzZaZexFzdRRLhFN690qGeOw86ts5c49mOlUeRrJmArYMpk0C6c3qBJKRv7o8JwscHxrX5SjHo1TS1aBgdrdXH1+IgSDi3IJs3+z0PL4g5w+uF9b0JQSTjLoMwnq8AAQAASURBVJNUcP9UxOUR3rrUwrE0dF1lqV1iqV1GUaTI4jg29idM/YjB2OewP2M0DfnytQ5a7tB/fqlKu+7y5WtzhXPC1bU6uqaSZtLZ0z41xLUt/YUPgT+8dYCCyoWlGoau4fkRrq3zlRvzzDdcqmWZ4pOmguW5Mq5hInI3SlNX0RRoVhyWmi5pLl5amSvhOoZ0GwfKjoGmKOz1ZnJYWzJQVY0EhblGCdvU8aOUesWkU5PN2iiBX39vmXpFrhWr81XmWy4lx5BJGxUL01BpVWwsQ0dFxdBU9nszLENjOAmL1JzxNGKnO+Phzrhw0fHDNHciku/jQtulk68LmqayMl9mqVPBseTf0bE0rp1rSIeZgmcrGyaDsSTqm7qGY2m5GARWO2V0VZFCG6Tz4NpnaN5eO9co1s6Fpsu5Jdk0vrBco1V32O3Nihjqh7tjgjAp6sMsdzM5wxcDmVKVoSoyfUISpDKqrgEo9McR1ZJRpEg8C5mQYg/XNpir21Rci4Wmi6oq2KaKocu0rd/92lpO+hacX6xxaUW6VFuWzoWlqhQVZdLBSwjB5sGEasmkVZfiT02TZMWjPXav5xGECRv7k+Jjh3laDcjGsGsbTxUcNyo21dzJRdfVE05XL4MkzYoBka6rtOtuIeAA+Vy5tvG5uv4fueOc4QyfhveuzRX79fJcuRAOPwthnKIoFOSY43v4199aZKldxjJlU16mYPGpwn4FeS5XFTlMKbsGkyCiWjapOPJsL4QcrpVtjTCSqXU/rWPa2ny1qEtW58rUyvYZseAFsX0wLc7242n0hCP+GX5xsNeboekq1861cHLDE11X0XUVw9DQNNnL0lQNU9Plc6zAfN2VX6fKgd2N8000TX7P25db+GHMcBKw153SHwXS0T+W/S/X0nEdnXevzdGoyfOvrilcWqlLIThQL8mEuChO8cOE5bkytiWHgNfPN6hXbdp1l3rd4VvvLCFEhhAZv/LOUnGurZRM3sj7YSjwK+8sY+rSqdOxZQJHnKREccqP7hwU97yuabnzpSZNJJZreV2hoyoqQsiUvyB3Hz0qu2d+zMiTPbc4yU6kY3bqDo4tX4+uybO/NMTI+NpbC1RLJkmS4dh6QTa3TZ3uMCiuK4hTepMQRVVQFeminWSiIIE+PicofOn6XPG7K65Z/E1UVXkqUWO3O5MuofnrOBj8dC5ZR/2Kz5KasZQ7/J2+5jN8vnAsmZwZxSn1ss3qUpU0E8RphmNpuJaBqsseWskxsI6RLVRF7uHvXWmRJJLwq2pSBF6v6KiKwn7PQ1cVRtOQ9e0h2wcTbj/qkaYZg1HAaBzgWDquo6HmNX6tbHFxRfYOWzWHlflyfl9LQfdC7lDZqTuFY75pqKSZTJ90LI0oTmnWLCxT5+pqg3OLVUxDwzQ01haqlN3HCVxeEDGahid+3kKrxNqCPFvPNR2aFRvTUPnytbnjfz6+dG2Bdl2arziWwXuXO3hBSqNm44cJD3fHtGs2mqpIkxhbK4hUaSrY2BuzMlfhcOhh6RpzdYfhNERVnv5sHuGIuBAlJ2ujH90+KD62fTilNwq4utrAtjSSJKPkGFxcrBVu+C9yBn+0Ny7OV7vdWXHOOcMvF66da1LJEy1dx+DNo/30FPrjgPH02N538Go6RZ6eRR13qT46rxu6yvnFWmFAVXIN2efMvy7NBEGYnCCEHF9H5HpVQtekcOzySp33rsxJcYRjcjnvk4m8f3J0LjENDcfSWe6UWOmUqZfl/K9esXFtjQyFSskky43jdF1F11SSVAo8HdsgFXIWaZv5+qqpuemDnKXqmjTtUJXHYlzb1ImilNzHAyEEjiPXTcfWmeWCENvQqJdNwjghyQT1iolr6Sy2XSxTxbVNLq/U6TTlDFPXZPKhrqmcW6yiKgolx8Cx5J7Rqr5YQtcR0rzfoqoy7egofejdKx2ZatwqFQlgZdeUs9D8TVuZLz/1/Pdwd1yszbcfSrIsyHt46xW9h8/w88X97RFAkTB+hifx1qU2FddkNI34eL33RV/OGX4GWO6UCqGgrqt86WqHH9w+IM0NA47SfoMo4d0rnWK/cW0dx9aplx1mQUQQZohMzuAzBH6QkKQy/c+2dXRdLYzGjLzHoCgC29RY6pRoVEwMQ8PQVPl5TcUyVFxTxzZ0Ok0H1zFYW6iwNl/h2vkGWu7Qb5sqnYbNaBqxPFdGU6UjfNW1uLRcx7Y0ojih1bB582ILVZW9kLW5CldX67iWjmUZfPWNBTRVkvp+5d2lfB9X+Oob89KsVeEJM8SjvRCky/zR7P95GE2jx+f/MGX3KWnKx3kcEy8iDBM6DWmS+qzz/hF+0ev8cwuVog+82C69VNr6GT4fJGnG1v7j2jtOUhZaj9eTZt0uzCdTITi/XMV1TGxHZ3lOnuUVVYq0wiiVXAOkc3OnYUvTRWRN++7lJq5lSGOHisWlpTog03SdPN33CI/NXxVZ79tGUctbhsY7l9rFHMW1DVRF9hqiJGXnYMr9rRFeKOcWN9f79EdBnqyZsDpfouIapGlG2TX4h984d2INGIwDpn7EZBazdTAlTtLcEEPh0kqNhXaVuaZLo27zzpX2ib/nl67OoSoKaZZxbrHKu1c7uWPWY/5PECYvlK77O19ZQ9NUFFXh6mrjsSmsAkudErtdD0OX/ZYf3j544vvlTOhxr08K43T8MGGv51F2TUxTAxXadSl8cWydd6600TQ5sz3iKymKIs05nzJbUpSjM9rZDPRnjcPhZ+f4vmpY7pRZzuf8mqbw3pXOp3zHq4d6/ck+uG2/fr1x/dTj/DtfP/fFXMhPgRsXHve/FOA33l7+4i7mp0CW97A+zdjxeTirpF5zPLG/vsCsztRV/tG3LuAFEaauo6gKjZokVmmaUtxY290ZJUc6uF1YrLLf9zBMSURWgLcvtbm+1sBxDa6uNPjw3iH7A4/BOGAwDqg6FiI/YE29iFkQkWQC21Rzda6gWrZo1x3eON/g4kqDtYUqy53KCYerI+OWWsXiV+YXubRSJwhT6XynKRi6xpsXW1RsnYmfYBgqW4dTRrMIw1Dz7xdFVMiDnQndQcBcy+Xrbyywczjj5noPIaBdt/mnv3WZetkmjFPubw35ZL2PpilcP9csikrb0mlULeJYphY83BlzcanG2kKViiudA//2Jzsypk6B96/PceO8XHjCKOVh7pBoGtpTD3cXl2usdErc2hieONAdf3vvbw3pjYKXT9U4M/V8JZHX/yfw1TcWeOtSi93DGX9/+4DxJMALpePDe1falFwDy9CIk5S5ZilXSseYumzGvHt1jrsbA8aziD/5q/vYlkYcZ6zMVWhWbSxD48HOGAEcDDzCSKq5VUUOhvf68tC3sT/l0qpPo2qTZlIEoaAwDSL2uz6ZkAk7X7o+R71iEcUJvXHEyAtBQLNs0arZ2JZ0x98+mLLv+YhMUCmZeXKAoGRrdJol3rzQ5N2r89x+1CNJBB+vd0mzjPmWy5wQvH9tnhsXmgwmAUki3f81VSEIU/70v97HCxNsU+P6uQb3tob8yV/dI00FS50yb15s8talNo6lS1Jt7tz5wkk3CmiKRrVkEScpfpTw4f0eUSx490qHy7nL3peuzZFlGb1RwMbe5Pi3n1iLb20MSI45+/80iTtn+GKg5bH0InfFfFb0br1i89/8+mWiJME2ddJMEjNOD7ge7oz49o93SDNBs2px/XyT84s1ljoVkiTDzUneV9canF+oEEQZD/dG/OReF0NXuXG++VMNPJR8H1ZVhU7dpVrWmWuU+eobC4WLxnAaMhwHuLbOzI6pujqmbRCHCfWqw0LbLUhjfpRwYblGue/L/bZmcTjw2evN8IKE/Z6PbakcDgM0FXRV5cJylbX5Crs96damaSqOLQejq/PlIsr16nIdy5YClSBKURVZJEexTP/46H6Pre6U1blKvsbK17bbnTGehUw8GQsrXShs5psufhDz95/ss74zZqlT4p/8xgVubQxJYoEQguvnG1xZka4U6ztjeiOfkq2z0imjaXJomx5z4+00XJY6ZSquwb2tIWkqKDkG71xpY+jaZyJb2abOP/6VC3hBgmvrhduNHChndId+Qfycb7lPbCrKWQHwheDIWWM4i6iXLc4t1Zh5IduHksDnBTGmARM/oVN3SRLBeBojq9cncTgMCaME0zQouSb1skWr5jCYBGiaSqtmSZeq5ZokFl6dz2N0UxQUdrozbm8M2D2cPnayRJIIjmLVQSEj43TL7iWOH6iqrKXjJEVT1Z/KXX4wCbi3OUQI2Yz9aZPqznCGzxvLnTL/7LevkiQJrv1815NHe2PpNKfA+QU5ODiOi8s1/o//7bv8+79+wHc/2mW/7zH146c62ygUhk44joalKwRRhq7KwexkGiMyhYVWiYprcjDwCOIURVG49XDA//znt7lxvsX1cw2WXjIyu9NwaFYtBHyuIqpfCpzer8+WtV9YnH5v37jQ4tfeW0YFugOP0SSUjphCYFsajYqNqikYmoqmyWFqvWJz42KLi7m5yebhlB98ckgqMjQEw1lImjvTl0smF1fqJHGCbRm8f03QHQe4poofZli6SpxmNCo22wdT0jw9492rHX7l7UWSjOLscYS3LraY5cYD71yZ453L7RNn6uVOGQUYTkOZmqcpiCyTtX/e4zJ1lU798c/8xluLudhd58H2kHolJM0EqgL/9cc7TL0YTZMi5osrNUQm8MPkxKNzvM6V5jKyphEC9vszSSAVYOoa5xcrTKo2ZVfHOCbSNHWVuYZLmrvt9UYBH9w5zE1uTr5571+fo+yY6Lo0rjiOyyt14oU0F+Q85YF+BZ551zYKccvZkPZnj6N6dbldxjV1dnpTHFP25W1DRdc1FpoOG/tTpn5ExTWY+dIoYhamtKoWZqAynsr+eqdeolV32OnO2DqY0R97TLyY/YFP2TG5+WBAbyTFQWMvIghTyiWTTt3mt95foVGWyTQPtkdkmTSWuLhUY67pFteqaSpvXGiSpBmaqvKjOwe0ag71ipUbo7SleUJOyG7XZW/6eA3wycMeP7h1AELWNd98e5HBOODB9hjP17Asg2++1aTTsDm/VH/iWXJMjf/+f/MWo6mPpRugwk/udY8dkhTpWLlco123WWiVufngMbFRUeQ5//JKXaYDaZIc8d7VTuEq/zT0xwH3t+SZ4ygdVf68x18jhBRoqIpKkqQstF3mmy7aqZ/7aWfwJz5/VgP8UsK1df7oVy8QREnulPr0+/Nl5oFfBE5f57OeA11X+YffOM/UC3mwPWb7cMZe3+P8QpWN/QlxkmFbGjfOtzB09Yl1SQhRkFBBOvj/o1+9yMb+iE8e9PnT//qAuabDN99eouKePJvt9T3qFZsvX5/nyloNTdX4yb0ug3GAZcrEDUOXpiyGrtKu2JxfrZFlkGY+uqrQqGZoqk2tFNEbBXhBwvbhDE2BkmMCcu6hKRqqAoauU3YMdE3OGKsli/mWK1ONDY3vfbzHnc0hu70ZjqnRrDp0Gi47h1MO+j4o0ojjV99bZnWukqcTyx7LXm/G5p5MIL9+rkmjaqHAZ+oPe0HMrYcDkjSTae6zCFVVqLkmrTzV17Z03rncIUkf135H59hnnQGVkwXbiX+fnXvOAMhZOnBpuf7FXsgrDF1T+cZbC/z59zb4mw92eOfy60eWO8Pzoaoqv/2VtYK/o+sqx4+SsyDmw/tdBuMQx9Z543yTi8s17mwOURWFOE2xTY2yY4CQRq4l26A78vBCmfanq6DqGo5t4FoG5ZKBpessNC1GXoqbf3y5U+HhzoQgirFNDVPXmWva9MYhpq5JI1cBW4cTgiAtDKJmXsz9nRFr81VadZev3phjMA4pl0z+/HuPmPkpaZax0HT5jfdXmWs4IDiRICUQrM5XWO6Uubxao113C0MH29RJ0kya15zac8qOwXtXP9v59qX2IEUmLq7MST7T82Z7v+h1fqvmSM6XePZM/Aw/RxwNB5Drye9+7fF68l9+uMlSyy3SMxplh8p5i1kYszZf469+sEEQxQgBRqTSKZnUUlk7O5bJmxdLDMcBlqmw0KoQJQmOo9OsWIymEZ26Q5IIamWDKBHomnwGLUuaPAghUFSNds3mjQtN4iRD11TWd0b8wTcvECUxJduiO/TY689AQMnRGU5CaXqiwFK7TMnW8YIERVG4vFLjG2/J/kIjN55ZaJWLNeD/8u9+zEcPJAdwbaFMvWIxnEgT60vLNf7gW+dPrLfHIQUvCpoKcSKYazhFv0NTFe5sDGTikQKXV+tFEurT8NtfXaVVtYmiiKsXOlxcrvHWpTYqsNvz2Dp4TOA/vSaNZxF3NgaSV1kyubr2OLn79HJiaOpzX9PxuWqjanF55Wyu+qrgdX0Xfuv9VbwgQtf1J3p5Z/j5wcl50pBzzn4K/sUXBdfRizm2roJqvH6vIUkzPnnYxw9kL//6SyaOnj1Jrzk6Del6D/LhPEqweBG4thw0aqrC+cUquqay1C6z1CkzmIbUKxZzDZcglORkP0iouqYkbU5DemNJJK+5VhEPrmsaiqJgWjq2Y1CyTfwwpjsKadYcWlU5XLItnVrFxjJUyq5FqWRTdk2W2uUTpC4viImSDF1VZWKHpjJXd7AtnSSV7tZxnLK5N0FRVXojn62DKWkqY93SJEPXFISQqtLhLGLqRURpRhil3HzYZ+SFZJkgSTKiKENBIYxT1reHDCaSBBnFCX9/c4+93hQviGlWLPm7kwzb1MkywXgm3TLTTCZwHDWdEPDh3ePDI4GeN+F1TXlm5ppp6lxZrReu6c2aXbgGeEFcuNUIQaGsfh4KwYgiiXRnkbSvBpY7ZYzcmbLsGjSrNhXXlPcG0g1xruGwtlClUbO5ttagXnVYnS+zulBmvl3CNqVwyDIN9vseu90pWQZhnDD1Irb2x+x2Z9zdGNAbeXyy3mevO2V9d8TdzSFRkrG5P2HixQwn0jk+TQXjWUiaZYRRgmPp6JrCT+50CaKEg76HrskBQW8YECUpUy9i4gX0xiHthoOuy2ZKq+rQrNpMgwShqMy3SoRRRnikeFdlZHrZMSm5Bo2qS9k20FQVBelaHoQJK50KUSIdzBfbMg1I01Tevz5PyZaCs9X5MlM/ZuxFMsVgGvLjO4cc9H3GM/nx4TRkr+8zmoakacbMjwvl/YvA0FXW5isstUs0q9ItNEkE8w0XP0x4tDcukjQ0VQrNOg23cCB3bJ3FY2u1a5tcWqpLp4Fcde9Y0qF06kU/lVLzDD8/fO3NRRZaJVRVoV6x+c33n60Q1nXpmqaqajGAPI1He5PCoWIWxDzYHhHFKVnumHM8Ctg0daZ+VCT4xElWuD5O/Yj7W0Om/uNUqOLeOuYQEcXyY3GSMfUi3rrUwjI1RrMQy9KYa0gy58cPeoUDnWPqOcFJ0KzadJplDFUlFQpzTYfRNGS3J9cKyzTY7/kYhkan7hAngtFMXkOaZux2JxwMfMIoRqAQJCndUYjrmPhhwmDikyQZqqLSHfqMpzKlZDKL6E1CbFNGfzqWjBtN04z+OKBdszEMjVrJojv0qVUsVufL0slPCMquSbtms9/3iOKUlbkytbLF1uEM01CZ+hEbe2P2ej5rc1Umfkh35LM2X6VZswtnnnrFwgsTFFW60C20Siy2S0WiQrVsstgusd/3CnHHzI+ZzOKXOkypqkxiUlWV0TRkOHlcE+iaWqxpmiIJLctzZUk80xTOn+3/Xwh644CZH3NpSUZ/R1HK8lyZetnKxV+yw5plEMeyvtQ12bTTVTBPHVgzIRjOEqIkIwgSNvanCGDqJaSpfL6+f3OP4dTHD1L2+zPSTBBG0pF7fXdExTGoVyz6owCBoFG1GU4C+uOAOEmJE+m4c7Q/SUduXabhadLxaiFPwnlRGLr2Uwk4QKZhHS2Bw0nIaBoW69cZzvCqwMz3+uchilMp4AAQsHnwZFKi58dsHkwxDQXT0BCZrIVNQw5yTxAJkU06XVdIE0Gcyjo0ThWiSMZmB1FCEMYyotzQSJNMOrymgsOex/r2kPWdEWkmSFJZE7yIo9RxaJp6JuB4Cax0yoWrWaNq0ay+fq4/Z3gxLLRKGJrCYBxgaArzTRfb1DFNnX/225cpOyYqst/3/vV5MgSKkD0dTVUxDY0wTNncHTHyY6ZBxAd3D0iFTIr1o0yma2SAgDRNCcIEL0zpjwOiNMXUVHRVYxZEKKqCpqky6TXNHifyKLDdnbKxNzpx/UmS8dGDHqamYmoqNx/0iHOTkqMztZ4LTj5+0CNJZUrdxEsYTGTvIBOCdsM5cc83KhaZUMiyjLX5CqahFSmDk1kknfaijMEkREE2xi8t11hqy3OKTP57LEDrDn38MC1+xvc+3kNVFFRV4cd3Dpl6Ud5blOkoR3j7cot6xULXFOpVi7JtEERJngooiaQg6/92zcG1nz2oep5Ye6ldKsQx1ZJZpHqkmcjrGvk++GFSuLP9LKDmPYsz/OyxPFdG1+UeXnJlWiwIDF3j8mqDtYUKw2lExTVp1RyCKAUUdFVh4kVMgzQXQUmh1Wga0h8HvHe5Q5ymhHGGQJ4lkjTj7z/ZxwsSpl7MYd8nTTNMXSVJIYwzFttlxrOIR7tjpl6Epqp0R8ETvTFFUYoa/sJSrSAqzeXO+cdr+yhOn0j1+vBur+h9P9geMZ5F7PU9ZkHE4cgjSbI8SSh67uC6Vnaw80SfhaZLGEtB2+XVmnT0dAzW5quUHYP5lksmBEGcUC0ZZEJwaaWOrquEUcLqXOUEoeHoOcvy5y+KU7YOJsWZoz8KivTBdy63URR5Hus0XCxDZzgJSFKY+QlxIph4kez7KRTO+M/D+aVqceZamSufOdj+EkNVH/cLn4Vm9fGM6PTe9yrB0DXWFl5sFpVmgt4oYOLJ5yxNBR8/6J1wxj4ceMXXbx5MOcj7nlruEn7899qmxu6BNI0BOBj4bO5NmAUx+70ZYSTTPbYOprIuyQRZptAfBdh5epKhyVmaokhS6FKnhOPqpKng/EKVpU4JL0zQNJV2zWHqp3iB7DVGUUqcHjkOq5RtE8fSMQyVTtPGsTU0VcO1Db50dY44yZh4IQttKdbY7U4JgoSpHzPzIz68d8jYC4nzms4PpROxoiiEUUqSZgghWN8Z4Ycxmq5iGiq6pmCZsk/6otjpzorz36O9MZv7E3RNYxokrO8+dhNXVeWJ2u95Z8Cj/UNR4I3zzSJ53jI0VudePJ34DL+4uL89BKTg8wzPxq+8uwTAdz7cPZsb/gLjiL8D8JXr8/K/FXluDMKUqR8xmoSEScbYi7m80pCJl1HKcrvCfMPFsnQcSyeMM5m4l6/XYSz7Bc2qg2nI2XazZhElAoGgZOsYusJoGrPQdrEMabRQLhlEqTRZ2Ot5+FHC5v6YWw8H9MYBw0nI9r40i4rjjPtbA9I0ww9TKiVTziumERu7Q0bTgOE04id3uxi6xmASMvVi/DBhtzstEppUVWHqPxZvHNXIR/2Gp+Gznm+P86zcZ/CsljrlIj25VjapuiZTL/pUAQf8ctT5p2uxM3wx0DWVcwsyIfvo7A6P15NvvL1IO6+/mlXZy0ozacbcHXpEaYaCioKCoSqYusLUiwnjlJJjULJlSr1lmUyDGC+QPLyJFzOYBHmyrjRpWJkr58mWKtfWmlxarjMLEkSW8ZUb84UJY5oJlufKVEoGJVum51RLZpE6oaA85vAAk1mIqipEcQJCzkCTVFApWSSpKPiKR2vAw91x0WPYO/R4sD3EjxKiKC2MV4+vt16QsNebEUUJH9zt5oadOnu9Gbs9yb/a7U6Z+pJPBTlP7ympcsc5Ppv7E8olk2ajTHfo4wVx0Qc+t1hldV6e5xxL4/3r8wynAR/eO2Q4Ddg5nBb193gmE06PYFu6TG86mv3nfYdnvaatgylhLI1pj/c4Pi/MfLmOn+HT8QTHt/PiHN9XCfIcDVn2es7mQxE98bFp/PrtZ0ny+LnLBBz+lGnfXwR2Dme5IZd8DcfNsV8XdIc+w7HPbnfKaOqz1/M+/Zuegl+8SvGXDJqqcP1885hj7sthruHSydWjiqJwd2PAYBJy0J/x/U/2EQgUFColSdJSVSUffpJ/D3n0osAwdJwMzs9XMEyNsq1zb3uMqigIVTaa51suG3tTVAV6w4DDnNR4YblONXfEOXIl7Q783G3bYLc749ajAYNJRLtm8p2PdjB1nY39EfPNUtF4DSPZfO00HGzLQFMVmXyhKfiBdA8XmZDuOzlxTtekqnbiRfyv391gNAuZeBHvXm7x/VsHzPyY//zDTS4u1XFtnWvnGky9iI39CRsHE6ZezI0LMYNxKIutY2rnI0I+gJUXZEKIfBD27I3AsXTevdp54v1VTw3UVO3F3vvFdomFlnumqn2FECUZaSawTI0wSvnkYQ8/TAsnh6NITpAOndfPNfn9b54nSTI0Tcbd3XrUZzyN2OvPGIxDHu2OKTkGQe7svded8WhvLH9XKnJiuEKnbtNpOPz2V9bQVFBUiNMMRUjSuECg5sebJJFe4Fou/Dp+f3tBwsHAY5ITKHe60sWqWjK5sFRjuSOfzQPVByQhTCDY73nESYaqKqzNV/nWO4t8eK8LUAxgVVVhtzsrDhJvX2rxK+8snxi2tmpO7nacoesq3/7xFrc3BqSpQFWhVrKIkpSJF2HoKipy/RICPnrQI4zS3CG8Qdl9PtnuCAutEvNNl6+/tcCtjT4f3u0Vg+rTQ2zI1+pzz16ra2VLEnTyz0+8iNuPpLL+uNvYGV5dOKbGv/jDN4miVMZW/pRwbZ1GRTpjjmcRWwcT+pMQXVMp2Qa1snRcOFrPT99X8tmZ8v/+X+8QJtKB53/3e9dxbZ1b+b1lmRpvXGjhBXHh5HA49GnVbDRN5be/sspwGvKdn+wWP9fQVQxNZblTRghBfxwSJwmqqrLULuGYKnc2x+iqRiAyvCCmO/TRdI2vv7lAo2LRHQaMZyEb+xMG04jxNMQPE1RNJYwzSo5AKHKwl2WC3jjAMlTCSIrLXFvnz7+3QRClaKrCH/7axRMDHj9IZMNI12RTGgiiBMfUcS2D1fkK1ZLJx7k753Aq6500zWhUbb7x9hIfPehy+9EAIYRM8GmX2D6csX04xdBUJl7Mf/cPr6Pm9YWmqpxfrPLe1bnHz6omU8uOP/enm7raC+7fz8L3b+5x+9EAkM4hX3tzgUbVopaLxo6aVcudMkvt0tn+/wXi6L0vuybfemepIAfuHHpUgxiUx429iR8Rx5lMWclrbFUIdFU+g0makQogk4QjVZFx5eNpRJSkjGYZ27mgc6c7461LbTKR0RsGDCYBu70ZfpBSdg1W56WQRFEUHu6MSbOMzf2p3NMUuLJSP7E/gRSYfvn63E99/vhp/5YgRWu3Hw2kaOlUct4ZzvCqQ1FO1tSnz3iHQ5//z1/cZr835d7WGMtQ8cIURRXouk6U73HHdJ0yjUoIokSQCYFlaViWRsU1pXA0UfPkqkQKMm0DVVEIk4xHBxOGXsTEi7hxvsGjvWnhinXjQrMYWJ7hZwPb0nn3ypNn/zP84mHqRdzdHhGECSMv4sJyjXru2Naqufzz37tGEERYlsH/7webBEFCoKigKlxYrMkkyTjlg7tdokSgKDCeBoRxRpaJXCQtiphPL0j53s29PIFCGijouopQkIkfioKuSgJllgkMXSba/uX3HrG5L8UNF5eq/A//7F1AOvZNZhHjmRx0VEvmMx2CjGPECkVRSLIM1zBkqqeiFPe8okjnzfE0AgUuLtXyVEvB9uGU7328T5SbQOiaFM5bhkYQp1xba3BR1J56HjoO7RghVlU5QZA9Xlu4tskf/dolmfYJ/NnfrhevdaHl8s23Fj+X59TQNVmjHftZSZpxc71HEKa5OYBJfyQHtM2qzeXV+k/1O8/wxSKOU7YPZ9zdGjIYhRiGwlLLxbIMpl7MxIvQNJWVTgldU7n9sM/+MGA8i0kySLOULBX4YUoG9MchtmkQxAlLrTKqImv/NO9tT70o7/4JDEOVSbymJCdfWWtg6DJF+id5H+7CUvVTHZ2bVZt62eT2xoDuMKA7Cri4VKNdd9jcn7DblWvGfNMthAuaBhzNE/Mzz/2tIaNpxMHAp1V1CmLvizxWu90Zez0PU1dpVi2urDaeeCaXO2UO+x7rB1M296asLVT4yo15anky+E53hq6rLLRK7HSnbO1LYsRoFtKo2CiKTFI8vU5M/ZjtwxlXVhtoukwuv7c5euyEqRx9rcpiu8Ryp/xCa8VRT/BoVnCGMzwPiqJwde3J+/5VxFH/HJ5tnnTkVnjQ99jreSx1SpRs4wnn2KPX+qf/9R6fPJR9sDcvtvhH37rwxN9B4WQdoKAwnAR89Dc9okiSSX/jS8vS/Opgyn5PzjVqJYORF2MZKnEiWJ0r06k7TGYRQZAxDSIpynBNfu+r57i1MeBw4HE48BhNQ/x8/7YMnVbVxtQVkgwqJYOrq02+cn2O//C366iKCkIw13RJUkFv6Mk5xT1pRNUdBoRxStkx8Hx5bpNEDDlzEAjmGi4313u5E7Fcdx/tTkjSDNPUODdf4f0b82iq8pnWleM1kaYc+zvmjp4vu0Q1qzaNXHx0dD2vwz18hp8fiiSOlTMRx/PwzuUOJcdgMAn58N4h712d+6Iv6Qw/Y6zMV/jn/+AaSZLxX3+8zd2NAcOpTOK4qMhzsBdK9/yd7ow4Tbmy1uC3vrJCbxzw4b0eGwdjBAqaJsmihq7imBpTH6ZeyPqOIMky7Nw4Yq7uIITANjSaNRfbkuYEEy9ifWdMmGRM/Yh2zaFmSEPC/jiQopJZRBDGeGFKFGeUXZPluTKZkKTpg4GHPgyYzCIaVbkvZHm6XX8c0B36lB0DU1dZbJd/5m7SL8KzsgyNty/Ls/vUj/noQY8sEziWzo0LzeeKGM/q/DP8PDHfdGW6DU/W3rqm8v6NefxAGrc+3B2xP5jJ5A1dxbUM1HwLNnWd2xtDvCBGQUHXFL759jK2qaNpKnGccHtjmPcQFVbmysw3W2RCoCBNS750VfYWVFXh5nqfqRfjBQkPtofs9zzCOC3mee9cftwPD6OUy4Yue59pytgLqZUfrxUyBVhDKJwwu4Qn5+/WMdFUlgkGk5DuUBoirs6fFBF3hx5/8f1NkiTDsTQU5eRz/Vc/3GJzX5KKL6/UWJ1/LFA//XtPc3xOX+fpteY3vrxacJwe7Y74v/3px4RRimVq/O5XV3Es45nfuzJXecIk+wiHA4+//PvHr6lZtdnuypQT19Z582Lrie95WdzfGhYG1Ctz5ZdOef9lwefF8f0ikWWC248GTLyoSLdp1ZxP/8ZXCNXykyZqeWnyWiE66aWDqrx+YqogTDnSAh3xzl83eEGU89cyNBX+8Nf0lzIoOGOE/oLg81jcx7OIiRcz9WNqFQvH1rn1qA8K2KYB+VB1baHCQqvEuYUqK3MVdE2lXraYeBGmrlJ2ZCRwGEvHu7XFOheXK1J5NAl470qHIEjxw4TDoXT6jRJJPPvz7z5krzclzUThSjrfdKWz/izEMTW2DmaMZwEbB1NGs4j+RDYwe6OANMvQNBXXlukYXpRQL5vEaYZhqNiWQaVsIlKBrqsstl2WOiXpQqBrLLbKrO+McmczEKngOx/u0R14cljjxdx61KfsmmwdTuhNAhpVS8Y3azIUMYpT9noeb55vkGYZqgqXVmts7k/Isozl3GHTjxJcW0fTFGaBVOweufd/2vtrWzprCxU0TcEyNdo154Ty9nk4OyR+sZCO8kHhaLTfm0lXzCCmN/LZyQeenp/w47sHTL3HCtAoThnNQqJYDgTGebLMuYUqfhizuS/d86Z+zOb+BD+Iubc1ZOyH0mkvSsmyDD9IEEjiRxwL4jih03Rplm05YDBlQ0ZXVVIhsC2dNJUb5zfeWsTQNc7Nl+mPAya5e6XIhPy5GaQiY78/I8sEa/MV4iQjTjKWOyWSJGN9ZyiV/JqKH6YkudtUlgnKjkF37DPxQxpVi8FYuoMriiSAGLr2xBDnCEcf11TZgNLyoUm9YtKpyyQMU1fpNB2urNYB6UgOstDc6382NeQR8eTCYo0Li1UsU6NVs7m6VscPk6eqzT9trT76/H7PK5T1QZgyGAfF13j5epF+RlfkM/x88CICjtE05OHuiKn32EH+NH7v6+dwbZ0wTlnqlFlsV+gPg+JeGE0jZrmj3MSLsAyNesVCVZUi9eHvP9knPObg+jc/2eb+zqi4t8IopTfy2e3NmMwiNvYmdIeedHoVkhxxabnOpeUamqZQK5usLVSZ+RFl18APEyZeSLvuoqgKSSLQNVmQWoZKvSITtoI4wzU14kwSQcuugW3pLHfK6KpCksqGp6YqOLZOGKWUbJ16yeTWoz62qWIZMg1oNAvZ3J+QCkGaSUHY5t64+LulqUwh8cIE29KZ+RHDSUCWisKpcKc7peQYLHdkIsfm/hRD1xhNQ7oDqZC2DQ1Vkeuupkuyxp0NSTTxwoSHOyNuP+qx0qlg5MkkF5drTxVbHX/uV+crhUCt03AKl+2Xea6zLOP2xqD49+2NAYdDn5X5cuF6sjJXZjCRtdbL7v9xkjGYBATH1rQ4SRlM5FD5DC+GZlUKJ6UTjEqtbCKQkcAKCqYuhyRJ7lyRpFLEkWWSoC1y4qWmqwgU6fJvQZqkIATzjRJ+JGOEvdxFVlMVBNJdejSNeLQ3Zqc7IwhTbEslzTKCSIo5jkjkQV4rqKq8Jl1TWN8ZcetRnyiSzrqDSVDUIp8FQZRwd2PA7Yc99vuzl07OOL9YlcMjTaFk68W9naYif60h/VHwxH17hjO8ajB0lQuLNXRNOqWebuh8eO+Q3jBg59AjTVMmfowARKaSprI+FqceoyST64apgaIKkjijUbFolk10TaVVs1A1hflWiVbNpmTr6LqCbch1Rc9d5P76g53CuTZJMw4GL+ca8iIYTcOCIP0yyDLBcBJ+7u5RXxRe18b9GV4cdzaHTGcR42nEdBZxZ2NQPAf7fY/xLKQ/idg5nNIdzOhPQsbTAFWR/Z+pH+O6BgqCKE5IUjnANHQVRVEouyaGkdekmRxqKuKotlBAUYpEj7mGJGeEcUqrZuNYWr7Hw71N6ebshzEPdkY82h3l9V/GSj6ME0iy9MSP8vPNyWf53atztGoOmqaw1CmxNif7A5kQRd2s5sTo4Thk5scEYcJO97HzZtk1ihrKsXRZt09CukOf/lA6xx1/bqaedKZrVW2aNRtVVai4Jr/39XPScS6I+fX3luk0XFRVnnEWW086num6SiYen1PkWq0V1/VpSPO16Vl9viMc/1n9cVCkK2aZ4OZ6/9Tnzuqaz4Kj/eFnmWTyIoiSjEe7Y2496rOxOyZLM0azkP2ex27X497mkO3DCXvdKZahMZlFzPwIVGkKpKoyjaNsG7kwSjnSaBEnaZ46k1Cv2JQdU4o7haBZtdA0BdPUeeNCi7mmTH9562KLimtwOPDoDn1MQyNNBbvd2XMTI/wwYftwyubehNE0IkoS9nsetzf6ZJkoBBxAnkApi5RvvL2EY8le3vvX55j6Cc2qg21qNMoWqiJrovOL1cJR1wukm+dRcufxZ+lofVAUhcE4JIiSJ57J7ihgfWdUnFu6Q5/N/THDSYgQ0iHywY4kix5d9yyIORz4REmKEJLwYZnyzLE6X8GxdPZ7s6KfMp3F9IYB802XVs2mWbVYaJVksnlOWv+se/pZz/4MnwVfRM34tP7Qp8EPpaHas/pdw0mIHySUbANDU+gOfUqOwXtXO1TLJqqq0KhaWIbGxt6Ye1uj4nvvbOSkkVNQVYV3rnRo12UNstB0GExDonwO0Bt6/P0nB6SpdAv387TekRcXYow0yzgc+hi6RhCl0hROQBgl9IY+m4cTltolyo5M+7FNLU/YUNB1aFRNSiUz7/25cv7pRViGikAQRCm6qsoZTpQyCxJ2DieM/QgtN58az0I0DSxTJUulULdk69RKFmVHZ6/nMRjLBJMf3NqnWbVlAlmS0axazPz4U89IWSYYjAO2DyZ4QczKXBnTUPGCmGvnW1w7V8cwVJbaZa4dMxN61s963rnsaJZy/H36ovGq1Aq/7Jj6ceFUepbE8XwYusqvvycT4P/y+5tf8NWc4fNC+gJrka6rGLo0VxUCbEOlZOvMN0vs9zxGswiQZ/3hNGTrYEatZPO1N+Yp2yaqijQ5s3VU5NofxSkZUpwRpxlTP6Y39InTjLWFCvsDn6kveQiTWchh3yPJBKamFrV4vSJTKRxb5+JSFQWFVEjhQ5pJg7T9nidTBpXHZOcozeiOfPx8b3YsnakfyyQpXWXqx9iWLtPtPiOOzl/d4Yv3Mp+1JwkhGE2l6auqKuwdOw/4YcJgfMbNOcOrhdP11hEOBz5+kBDGkr9imzqqIs2PGxWTGxeaCCHn9RVXI4wShIAMQW8UousKEz8iyzJ0TSZ1ZJnAMnSun2tScU1MQ+PGhSZfvj5PKqRxjK6rbB9OORh49EcB3/lwl/EsYH8wYzyLipnD0TN4YbnGYBKwdTBlbb7KN95awjJ0bEvn/evzuJaOpqpYusZc3S14EbWyyfyp3t4/+bWLuLaBpWv85pdXqJdNJl5EECVPzPJvPRyQ5PNKP0xp12ziJKU3ClibrxQCDoB7WyPqFYveyCeIkiIB4wh7OfdLpurFNCo2WSbwo4SV+TKWoRXryhGOOE7f/mAHP0xIMnlGWd8Z49g6qqow33Kp5ZzM0TQsxCHPWr9uPxoQhElxLYcDH1NX8/6qwelAr0/rYw7GAQ93RwTRybNgGKeFgAMouG6nv+aoP3OGx3gVzkMvi0luBgcUnKLXDUHwZC/Bew2TOE7PiLuj129+oKuqnHeTG+S8hukuG3sTsgzSLAOUl04TObNSPAMA97aG9EcBvbFPkgjmmy4V1+TSaoODgdx0LUPn8kqdX//Syonvvbne4+8+3mPrYAJIJ6D+KGRlvsxe12PrYMJH9wckaYqqKNzbHKLqCl4gnQGiOMWPUu5uDCi7Jg+2R/z+N8+jqkquUNW5vFrHD2K+8+EuXpAQJRlvXGgynkYYhkIYZ3QaDmXXQAiY+vKwa6oqD3ZGtGo2YZyytlBhMA2xDY1a2UJVVRaaJWqlIxcYSV47HHgEccKj3QkVR6c7DPBDGU3vWBo/+GSPg6FPLS9Iv3RjnkEeOb+xP6bsmgRRwnKnwk53yl9/sEutZLLQKvH1txakSljTuLnepz8OOOh7tOsOrm1wfrFaDHueh4VWiYVWifWdUVE4tmo2l1bqn+u9cYbPD4NJwL3NoSRiGipvXmwRxikP98Z5NFRGp+EynAR8cLeLYaj0RgG//41zmIbGJw/7BWHL0NXCfTeMUh7tTXiwPcYLE8q2jq5p1MryPsxSMAyFOFXlwESBNBGgKgRxwvreFE1RaDdcWg2Hg77Hg+0xMz/EC6RIy3UNLq7USbOMLMv44F6X7lBGcfXHAQIZmRklKcNJhqGr7PdnXF6t8fblNns9j53DGZv7E1p1hywdsNf3SFKBH8JO1+PDe11+cPuAMExIMsGj3TG6ppGmGdWSxcpcGfcF3LVLjsHF5TogCd22rbPcLtOoWGi6ysWlGkvt0hPk45dNurBNna++ucBX35TP9s0HPXYOZ4WDeaP6pIr303BaqHL07+7Ql4NmIZtab1xoPjM29gyvJrYPp/yXH2ySZYKxF/HmhTaurbM8V2b5mDOBrml8/c1FvDDmsO9LNb6mPHaQVSSh47jbZb1i8ZUb88XPOO6YPfVjBpOQzbxgnGvIfcbQVfZ7M/7+k33iVDYFFtvyOo7uu2++s8Q331nix3cO+O6Hu6SpJHq9fbklB5ixHDy26jYXl2toqsrKnIwF/U/ffYSuqTzYnZBm0KzZXD3X4P1rc+z3PCquWaQG6ZpClgoWOmWG05CP1nu4tkEUpXztjQUMQ5NDXUOuZZqqyoSCY2kWiqKw35eE9ShOCeKElbkKvXFAnGSYhoauqXJINw2xLZ1pELF7OMuFDyq/+f4ymq5Sr9g4Vkp36NEdBvRGHnEqMD0NEGwfTJl4CdfONWSy1wvANLQn3C1e9rlWVRVT04iStHA7Wt8eYZoaN843SVLB7Ud9hJDv5ZsXW1jGZ0uJieKUjx/0iJMMRYGraw0sQ9YvSSqJ/tfPNymfJR98KhRFRhjXyxZ3t4b83Ud79IY+42lMpWxS11QO+9KBZuonMoI0b6IJIE5BKLDWcCWpyFA5GPgQyT3zYCjTrUQmSJGON5qqYJs6hqGy35dNUoFA01TOL1S4sFTnylpdkkbzYamuKrTrj6Ncb673i6Zbs2rz7pU2R+6Pb1xo4tov9t57QcKffvse9zdHjL2ItfkK71+f4/0b858p4hzAtY3CJbg79Au3PpAN0v2+x8behLJrMN90ubLaKERcZzjDq4ZOwzmRvHcc41nE5sGE8SwgiASKKhtyqirIYjm0VZSTSRxw5FSioGaApuYkK4VqySRJBW3XpF6xMXLxWCoEnh8TRikCwXASUatETP2E1fkKlqGdcNP/PHHcpanTcIqo9xdFlgluPZJuXiDFki8z4D3DGX6eCMOEO5sDsoxCYECegNkb+3x0r0cmBGEY8nB3KlM1kDX3+cUqFdfE82JGXkycCIgzdF2RvSAhhyjjXOQNgJC1hK6pJEnKfNOlnjtN/eT+AYqiYJk6o1mYk5Z1kkww9aKCUGHqGo/2x9h9A0WBOBXF2WXmx/zZ366T5cPZf/j1c8UZ2LV1/uBb5+X1Rwn/y9+sF0KIOH7cjFcVha2DiSR2cDI1w9BUrq41uLrWAOCjB10e7koRd9kxePtyu/ja7cMp2weS4F0tmVw795hs+N2PduXfxNDY63v89lfWPvW90lSFesUqXP9etJZOM8EnuTs28MJ9vtNr7fHfpyicnf0/A7JM8MnDfkGEOjIk+nkjSjL+7G/XmcwihtOQaS5aHE6CggytIM+BaSbP+EudUp54meFHCbWSSb1sSdJvnBGnGVGckWYZ01x4IM/JUnDQqJhEicA2ddp1h3bd4Xe/tsbqfIWJF3HrYb9waz8c+sR50m+tbD0zdWswDvjezb3cCR4yJAk6ijMsQ2OpXUbTlGK9Uo85vy93yvyz375a/KytgwmGrrK2UOVg4GHqGpahM5yGdBouvZHP/W15PjYMFRWKhM0LS1L8mqZHSbgn1wuQ7/2DzYE0YZhFlBwDx9KxDB0hZCJoFKeYhsbhil/8vKPU4SNiWaVkcvlUj/2oR9IbBfRGPnGSsjJX4atvLJwRs87wC4+n9YeO9sdn4fjzbFsab15oPbGXHfXoNvcnRElGtWQy13BxbYPr55qAPDPc3RwWRlhHPQRDV5/Zz29WbX7v6+eKvWD7UR8/SKSRU2/G2IuxDI1aycSxNPb7M5kalmScX7CIU4GmSKF7o2JTclImXszYiwGFO48GrM5XKLsyKfnBzpiyaxGEMYqqsNKpMJxFfOlqm9EsZuZF/Om3H7DXmzH1YsquwWAWMpkG7Pc9kiRlPJPk1SjJUPK/zX7fo+KYKKrCjfNNvvn2EkmSsXkwYetgWpzhamWLRiVlbb6MZepM/IRBntw733I5t/CkSE8Iwa2HfT5+0CsEvVdXG8RJhmsbKMA33loqarfn4XU8l70qtcIZYD3v683lvIQzPB+/+7U1/uw7D/nbn+zwP/zTd84SiV9zZJlci4/WonOL1SLF6jR2uzP64zAnucm5jGmoaMfmht2hj65JMWCSCa6tNfijX73If/nRFlGcsnMo07sNQ8W1NMIwJUpSwlwYbegqUZJwf2vEeCrPMGEk974kTVFVFd3SURRYz9MzMgFXVutcW2tydS1htzvhzuaQmR9TdkxaVRvL1KSjv67Jc44vycn/r/94kz/61YsstErs9WYMJiGKolByDN74lJSLp+H4+Qvg/Rtz3Dj/8m7zdzeHDCdSqLHQcp+oO16WV3CGM/y8kaQZj/bGeRqugqErpELg2DqjWQKZTAbVNJWplyCUY6nhimBjd0wYZ7kowaLsmpQcefZv1mx+61iPbX1nhJnX6yMv5JP1fmHoNg1iyGtuVVWolcwT84C/+2iHH985lN87i/jf/6PrRT9w4kV4QUIn5zeUSwZXVhvPfM3vv7HA+28sABCEMf+P/+VmYSS11ztJOLdOGXTu9qdy/gp8/OAQVVEKZ3hNU7n54JCpL8ULrZpzYu7vhwmP9sZyNq+plHNjR8fUGU2koc9w+jjxd+1YnW5ojzmUqgKOpfH2pcd9z0d742KWW69Yxd/maUiF4GAgE/9UVeGN883ibwey/1R87af0MR/ujvibD3YQQl7TH3zrPK4ta7ajtL6jGdXp3qYXxNxcl+YfmibPNC86Vz7Dq4vT+9+zTJhfZZTdJzl8C63XL0XmtNxBU14/g4IsfxVFEKj6+t1PlqmRZEf8NbnevQxev1d+hpfCxIvo5oOZ00jSjH5OnBhOwkK5OfEifv3dZc4tVtA1hbX5Mv/4WxeL78uyjPWdEd/5yS6H/VlOFsnoDQMcS2PiRYRRzKOdEeNpmA90NTYOJmi5O2DJMXBtne39MYoih6yZgA/v97iyWsexdBxLikdmQUIYp3hhDAr0xz7tuk2zbDPfcqmXLW6ca9BpOMRxxkKzRJJJ1Zaak9i6Q5962aRZtXEsHVNXubRSw7Wlu1bJ0UmSFMeWzn6qInBtnXJJJouUbYOldlkqjjUV29YZexEHvSmdukMYZ9L5MI86Hk1D9nszvPzwvdeb8WhXFshTTxJMpUo3ZZQXa/unXE6P3rvxLJQq6WNOR1kmigEayCFS8oIu3oOxHDhlp2W2Z/iZ4XDgFwVsFGcMJiGapko3PV2lWXVYbJXY2JtIsrGuEQQJn6z3+KsfbrGeu8SFUcpWTkwASWJIkhQEqChFU6PsGqzNVyi7unTgrZiUHZNG2cY0VGxTp1mxieOUWRCz252xczjNmy4Cw9BQVfCCEBA82B7wg5sHPNqVpPHeyKc38pl6cijaqtpUSyaurVMvWySp4N7WkKkfYZtSaZ/kzuBBnJGS4QUxWZaRpCk317ts7o8ZTHzSNOPR7gRVUSg5Zk4WVrn0FCceL4h5uDti+2BCnKS8eaHF2kIFx9K4sFzjN7+0Iknmuspi05XPzdCnVXOYb7lYhiRuW4ZGnPx0CvDRNHwsDhG8tGvxylyZekW6jC203MKtf7/vFW7pfpj8VK7FZ/hicG9zwMyPOehLt7T9vmwU7J9KgjkYeHhBLGMubZ00y7i61uBcnvqy1C4xmcU8OpZCcdCXwskjl4Rff2+Fc4tV7Dyx6cb5Jq2aTZJKosV8y6VVc5j5CaapYRsa1ZLJcCobwafdI+5uDtk6mHBns89ed8JOd0ajahFGKfNNh6W2y8OdEXGSYhga24dTTEO6/cdJUjwb97eGpELu+Yau0qrZVFwDBYWKa2EaGuNZRJZJASkKHAxnVEoGX31jnotLdZY7ZWxLo12zuXHhcQMjE4KyYxZDzyx3FDU0le9+tMNHD7ostkps7o8Z5c1XS9cQmUAgqLommVBYnSvnziEq7bpDJgQVVzoWpUlGxTEZzSL8nDQD8pk8HPhMZhH3tgas78i0lcOBf8KZYurHdId+4TjxMs91EMnf9f6NDqqm4IcJ185J8UeaCnqjgMO8OQOQJI9rvc+CwSQsakeRr2m98eNaQ9YhPzt39l9EHAw8PD+Wbix5ZLCha9Rdi3bDwdRVbFN9wgUFQFPIE7ekU2WaSkGGJGzGZKkgShJ0RSn2tvmGy+WVOpahYZkauqrimtIJq123aVRsVjqP95y1xSpvXZKCn4prcjiQ6TwTL2Jjb/yYuJXvpS+KrYMJvVGInzv4dEc+3VHwwm5VpzGahpLokKaypjdUKq5RuHknacZwKlO+fpYJAmc4w88ShqbiWjqGoUt6t0DuQ9njlB7lGUe5LBNkQqCqAi9ICIJYpujNQmxDxwuSIt3LUKU4UiBQkYLoK6s1yo5BECU0a/YzySzDSUhv5L9UQlyaZidcmg4Hn/1s6oVJQRQCWQu9ajhyAH9a8toZfjmhadIxLooTTF3FDx/fw7vdGV4Qst+fMYuErFFFBgj8MGXiRfIMHsS4eSKmriost8q4po5A0KzZNMoWuiqTOzotl8ksZK83YyGv/w8Hcg+1DC1PlZNJnJmQQmfyWl3TlLxXpzOdJbk7dUKaSXG0aWhM/Qg/lKLsIEy4uzmgN/JlqqaQteLthwMGk7Co/y1Tw7IeD0gzIbAtg9E0JIhiLEMtemGWqRdOddWSWez7ep6OMfUfP1v7fa9I8h3k13qE+1vD4r93Dmc82Brydx/u5oY0T4euqbKOMjUcW+fSav257+00v+bBOCgGn/Bkn+9ZaFRtFtulImXxG28tFv3KZ6X+neHpmAXxCSfb0+ftnxf289RLyM+/hkoiRGHKIA0SMrwwJohikixjOInw/JgoScnSjPE0pFG1KbsGWZZRsg2qJQPb1GnVnPz+1AiiBF1VMQydsmvgOBpZltGp27i2zmAcyLNpmLDflykczaqFZeqUbJn4vN+Xz+s437O8QKYF3VzvFeQlAM+PCKMUTQVTV/n4QZcrqw0cS8e2NK6s1p/qKBgnKYYun38zTwyqleXgfzCWycO3HvXZ2p/gBRHDcXiiVjgYeFxeqRfPxaWV+onnQgjB1sGE/YFHrSz7kwrSTGJ1vkInTx+yTI3Flnvi5zWqNl++NkcUJWzuj3maIWKrZueC14B6xaJashjPoqcm8R693u7Qf2pSwBnO8Lph+JT+0KfheL8rCNPi7LB1MCn6YvJZMskyOYdr150TPzs5dmZQFFidK+Nacg34+psLzxSfAYX7LUgRmKGrTGYRlimFGbqq4oUJIhMYuoZj6cw1XWzL4Opag/eudeiOfGZBzIXFChXXwLU02nWbOM2OzVoVlpolJrOAwSTE0FTiVB7Y9noeYS6qH8/kPPBobcgygaKqWLoU8hm6im0aJEkme7emRpZJt/JayWR1Qabt7vWm+bXoJGlGmooiUc2PEjoNOe+ZeNI9/VlnJD/fD2ZBjBfEHA497m4Nj82vUu5vD08khD8Lp89lR/3uVxmvSq1wBpmqA3B55SyF40VwZbXO6nyFKMn49o+3v+jLOcNPieN7FTy/rxVEaZEKrypyJqQoCpdX6ix1Smgq+fk8IUlTPC/k4e6I7sjn+lqD4SREVRRsS84I0hRMU8VQJftWQVogd4cB42mIoSuAQCDP7KYuReNJItPyVCEYjH3GU2lgOfVjHEtlrulybr6KZWi4tsY//OY5UiGwLZWSJWdxpqHRqlj0xwE/vntAdyTF3dWSFH1UXPMJvouXz+KOEsHSTMjew+TxPnX8/AVwZ2P4Qu+DEIJ+zptJkozeyJeikvHxs4jPylyFWtnEMjQW26Uz46gzvDZQVclf0zWVsmvgRwlhJOtzRMbhyMcPY5kKqsBCwyHJ5LzgwmIN09DRNTWfO2o0qzaWodGpO7SOmZmmmWD3cMLHD7p8/KDLg0cDVE2RK4kiZ9uWIdPrrJwLsL4z4u8+3KU78vnofq/4WYcD7wQfquKatGo2hwNphvc0kfJpHPHhJOdAMJoEzPwYP0we9+z9mHcvt1nulHEs2X/rDR4/+2Mv4e2LDZmQDnztepup/5hPdG9zeOJ36pomjW+jFMeWZtFH6I8DKSifyTr9dP35pRtztGsyjbhTc/jSjTl2u1PubAzwgpN1vUw0jOmN/BP9miMsNBzKrokQGc2qzY3zDcqugWVonFusnhBSTHOBzBFO9zHvbY6KM4IfSnPhx6/3+b3Tw+Hjmc8Rf+EMrz9c22BtQRrAlV3jCU7R64CD7viJj+10Xy494VXC9z/pf/oXvWKolkwUKARsZff1q68uLNVZaJVQFdnrfuMlRcSvdRLHv/yX/5LDw0NUVaVUKvFv/s2/4caNGye+5jvf+Q5//Md/zGw2Q1VVfud3fod/9a/+1S+VO9J+3+NR7lJnGipvXWqfUK6rilK4ZRm6ioLIo9ZkQfe1NxYQN2STNDkWW/NXP9pm+2DKB3cPGE4jbEtHiIyLCzV+ePcQXVPpDX1adYswTsmEkINeXcMwNAxNAV2lPwqolQ2G04h6mODaBhXXoFa2ePvy44fzYOCxfTgjyZ3CK66Bqii8canF1JfOOXEqaFZt1hZqeKF05Zl5Eaqq4gchjapFkgkWWiVKjkHZNXFtg7cutfnkYY8ffHJAf+SzN/CYb7p4QYKiqFRLFsudMp2GkyuHBaNphB8kzPID9sfrPd680GIYp7kjkYKuq5iGRpIdKXMVyo6JFySFGtE2dWbB49i24057hwOf9Z0Rfpiw25uxNl/BNLTC9frIFeGoYaxrauEY9jys74wKEl7F9bl+/vlRyGf4fHDatcgyNFxLZyl3sMwywdSPMQyV4SwkSlJMU2PzYEImBDNfknbfu9I5cZ+UHBl5ZxhSIX9hqUYQpdTLNus7IzJBkdDiWgZ7vRlpJnjzYovuyGe/N6M7DJjMItIsk47fSYqmauiaQpCLRrYPZ7RrNt2Rx93NIVE+aLZz0uebF8v4Qcz+wGMyi9g+nKEo8Jff2+BgIEm/Mz/G82NMTWU8jkBRmAUJdzYG2KZObxygKQoXFvVC9V4rWzSrFu9caT/hfDmahnzv5h77PQ9VUbi4XOP9G/NPJAZpmnrCqfvo55xbqOJYHg93xmzsSXHKW5dan9kV/Fnv8Ys4VT0Neu42ehqWoZ1o6L3szz/DF4epF3Nve4QQAs9PuJwfZk/f2xMvKpoThq7y619appqnRgVRws0HMglhpzujVbUxdZWtwymaprDbnRWOeP/8H1wjTTN+dOewOCRfWKrx7pVO8buqJZN2TQoVDgcetZKFEJJEsdh+XCp+fL/Lw70JaZqRZoKFlosfWLx3tUOtbPIX398gTQU3Hw44HMpmqqIoLLXKTGYxRv4aj0SUR662jqUTJWXqFZsffrJPu26z15sRRSlCCFRV4cb5FgutMl4gHTO//uZicV310mOHLk2VDqIlxyBJh3x475CJF3FzvZ83mYfc3xryj751kY39MWvzVSkWK5lUXRM1J7s1aw5fuTHPeBby47uH2IZOnAhsQyYdjWcR/VHAzE9o1R2mfswn6z2EgB/dOcDQFDIh0xfevtRGVRXevNjCC2Lub8m1SNdU3szJ8p/luT7uWrHbm7HYLNGq2HjHiCNPcwk+7STyIjgi1hy/NlN/ci87w4tjFsRsHUwZzSKSJKNVs6i4FheXa/zl32+AoqAoTyfoJamgOwxQVQhMSbzMUHJBpMBPExRFOtW269LR/v/0z7/Mv//r+xwO/DwJTqVRdaiULIZ5Yo1paE/sOUeE7X/3l3cKsYamgGU+vrbP8t6XHANdVQoyl6lLZ/+X2cd2ulM29yayPsoEa/NVFtol1uYr+fMnG6h67gD8Mvf+Gc7wKqBSMmlULPxIni/TNEMIOTwVouBDPRWOo5OlMrY1TjMmXoRlGqDATm9Kp+6iawq9cYDnxwRxIsWKmoppaiSpXAfOL1WL9K7TOJ4G5to6b1xofaYIaDUnYB8NZfU8zvuzwNDVE05Pr1ptHMUpHz3oFXHsl1ZqtGpPT145wy8P4iQljFNMQyeI05wSITGaBjzcm0rXzDQhQ6Br8r4WCNZ3pJNbKmT6VjV3wI7SlJVqhQY2Uz9isVUqnNw298ZM80HcX/9kB5GBbmgMJiFRJIpnfDwL2etKF+pZEKPrGou5+5RAsN+bYRhaYcAy35S1wr2trEiHVRRo1CyOkkXiJGV9d1yI0BZbpcJh74RjrIAHO0P8IGHqw+3NQSFoPepjLuVpgY/2xoXbP8rJ9MHBJGD3UK5LzjTiy1fnis85pl7Uy1M/4t/957vFYOB/+5uXufwM975G1X6hdM3j6WCZEAghCjfUz1Izrc5XWJ2vFP/+NJfzMzwdhq7K2zC/Vb6oetC19eI6xtMQL0hYnS+zviV7vakQZAKCSKCqoMaCKJGEAoH8PtPROMiF1WGcUXYNrq+1mYUpC00pRLBMnYpjMXEiSrbB2JP/26zajLyIWw8HGLrKeBZyf3tUDPibVZuvvTGPrqkMJyF//r1H8nfe1fiNLy/z1x9s4+fEa01TCnfs+aaLpqoMJgETPy6G8MeTcU4jTjI+ut8retjnl6ooKIXZg6YpbHen/PDWAV6QoGkqb11sFO6OINeDkiP7+E/D+s5YmtOMQpJMFAKNq2sNVFVh4dga9LSft3Uw4c/+dp0kFdzfHvGHv3qRNy7IodvMj7n1cICCgpkL3oEiLfnJ15s+8XqfVVOd4QyvA16m5y2/Rva7hBCs744ZTqSwtF6xWOqUeetii/NLVenKe2zvP4KWnxlG01CaxZg6qxU7r6kVHmyPnplMbx7bC0QmaFRtKiWTjb0JfhAz9iLmmiUmfpwLVxXKJYM/+NZ5zi/W+D//T9/jVp5msT/w+PqNeekIqTy+NpBCk/vbAyZ+gh8kUogWJiy1S1x26lKkGibScCLLGPsxmqJwZ2NAq2Kx0HaphYZMFHUMvFCadMT5TLVWttB1jcEoxPNTgjBhFkxpVG0UVSFNpcBvoVVibaFCu+7w4zvdotfYfoqxH8i1SwpufUnO9dXCnVeK4qY0fIvJLP7U1ETz1LnMMl596sETtcIrdpb8ZcLtXMRx7Tlu0md4DEVR+N2vrvF//w8f85ff3+D3v3n+i76kM/wUME+tRafnMcdRK1uFM76mKdj5WbhWtphrOPwklUKEKMnoj32iRHBhqUaaCuI0pVW3ORxIEaWqqOi6giJZQaAoREmam3olVEo2DceiXXeYeBFRnKHmJqZCgSxNGUwipn6MqihEScaPbu/za++tkKSCRs1iea7MYrvE7UcDhpOQLFPoNEsIRWGu4aDrGrvdKX6U4Jg6aZrxW++voGla0TM8wngWFanzqqpw/VyDR3uTYq87Sp06fv4CKL2g2/v97VFhgjaahtTKVmFgNp/PSUxDJoBdy5PCznCG1wmOqZ8waXq0Myr6+lM/ypO6Zc/MD0IypBksSCHEldUG1XwW36hYJxIdbOvxc6apCv/p7zaKFAvX0iCj4N2Ymka9bEHe69ofeHzv5h5CwHc+3OW4+bqqcCKhywsSfnznAD+Ua1WrZhfn9afhOB9OQXBvc1gkDtuWxkf3e3IuocCl5Rq/9ZXV4nvvbQ2Y5OuLosA0TFnJ+VzDWXJinXHskzVknKQkSYZpanh+fGIWoKmw2/WLJOLTdbqGyrVzjSKBfXN3wm5XCio+vKexOv+YKK8o0nzz6Gcttksn+okZUHVz7oOiYFk6F1cqPA2moT23Li7ZJ2v7snMyOe15vdPTP+tVm9+c4eWx0Cq91kmGF5aefB6W2k9/Rl4nNEqv3zOWCcnn1JBrm/oacpeFkHO2dr7mvyz/+tXvpDwH//bf/luqVblR/cVf/AX/+l//a/7kT/7kxNfUajX++I//mNXVVcIw5F/8i3/Bf/gP/4E/+qM/+iIu+QtB95hL7l7PY+rvcm2tURRXqqpwba3Bxv6EK6t1hJCF1FK7xNSPi8abENAbB5RdkyzLpKPuMCgU/Umq4FoGByMPVUEq4RUYzWQ8MMgC8epag3bdZXNvLJ1pDI1m1SFNZJz8cqfMW5ebbO5P+PCejEt792qH8STEsXQmsxBdU/CDhLJr8sl6n0bFYuVCk3tbQ8IwZantsHUomG84iKZDb+QXDmWKAt1RQLVscGHpcaHzcGdS/D3SNCOMU5bnytimRqNqsTZfxTR16iWTpbkSnzzos747ZnmujB9lxHHGxI+Za7gI4M2LTVRFYaHlctD30TSFd690WGyVEEhnoUZFOp7VShaHuTvne1cfE2t7I6n+3evOiOK0IOnd3RhwYalWxKRt7E0QCNbmKycWg5kfM55FlF3jRJF7XOE68SKiJKM79OkOfRoVC0PXcG39bFj8OWN1rkyaZgSRjKeulWXcYJJm+YBSYTyNqJUlYSuOMyq2weHIR1UgShI+edjj/FKFi0t1wijFD2MuLFU56PtcP9fkcOBhGBpvXGiwvjdlOA0xdJXuwCNOBOcWq5xfrBInKSXHwDZVxtMIL5jIiKdUwQulKApFoeIapFlElslDTBilpHncnZ4pGJqC6+gkcUZ/5PP1txd5tDvmP/7NOooiKDkGD3fHRHFGp2ahayqGobHUKbE78BhP5eDYDxNKtkHZNhBCMN8s88bFFtsHE8IoYandKJzky66BY8lkne3DKcPcZSMTgsEkZOJFRXJFkmTc2RwghCSJ9EYygWOhVWLqSXX/Xs8r7vU4yRjPouJA1RtJ0murZj9X2DGYBIRRSr1ssbZQoTcKsE3txGHpCEJIEm6aSZLtZ4mDPZermMM4pdNwzqKSXzFs7o+5uzliea5cDB2mXsTEi3FtnSBKSdKUeskkjFIaJRPHMqiVzSccIxxLumcmSZY3DB9/bjSNCsLjUquEHyWkQh6WNFVFCOnmcHRfa7koaOtAptvUKxa73RmWrrLdnVIrm9TKBofDgFbVYpwnygwmAd2hx2KrRJIJZqF0C44V0IQgyaBaNjEMjY8f9EhTSVYKo5TN/QlfuT5PFGfUKia//qVlBLKB87U3FjANjcsrdXa6M66s1pl4EUGU8v6NOfb7Ht94e4G7j4ZM/Jg3LzRZaJURQnB/a1hESk/9GNNUGc8iPn7Q48pKDdPUubxS4yf35bCy03AZ5aI4RYFUyFSgiRdRr1gIITi/VMU0ZYzzQsvFsXQ6dYeHu2PiJGVlrowXJNimihcI0iylWjbRdZWqazD1Y+5u9Jl6MRM/ZL/nESXSZa/kSLdUkASX4650SZoxmoYnnmvb0niwPaTsmlRL5lPXH9nwlg7rk1mEgiTRxLlLX9nWORhIYVujZhFFGfWKVayLnwWNinR8vbs5pFN3WJmryDSlSDoxV1zztT6g/7yQphndUUAYJ0xmEbqmsNhy2et7oEjh0V5vymHfI04ynpWweGQ+paEQxlJMVXYMGc2oJGQqKELBtXVcRwqie6PHKWAV1yBJZSKWrirM/JjhNHwumWhlvsLEj0hTwVKnRKfuomkqg3HAQd+jWjJOEKueheVOmW+9s8gPbx8wmkVcXW3w9uX2c92qpGtkTKVkUj623/WGAXGSEYSyORlECb2Rz/nFKlfXGmzuTzAMFcfSi6SRzxv3tgb4QcKFpRpl99Nf/xnO8CIY5eTOWlk21s8tVHAsnYprYGjQH4e5kCOTIg7xZFQugG1A1TXIUsHEjxEiIxEKDmBbOkGYyrOhImvnLBOUXZM0y+T+kotFFtslOvVnCw6O9xm8ICGIks8Uha0oClfX6mzuS9Hq2sJnb5Bax+oJQ1eLPfVVwWgaFQIOkH+zMxHHGY4EsaNpQKNqszpfpZyblOiaRhgmBLFMmmpWbUazGFWBlU4JQ1fx/JhKyUBRFIIwLWrSKEmZ+Qlr82XOLVS5vdGn4lrsdidF7ZhmChsHU+aaDpqm5g79BnGcMdd0ub81JAiTXMAhe2dpKonQzbpDlF/X+YVq4dT/9qUmSZ4WUClZaMd6Urc3BsXrzTIwDV0KOzXlxPln7EXYhkaSyMjp0eSxc2YUZ6xvj9jpTqlXLH7lnSW++9EeQZRw/XyDeuVxjetaOiCI04yFssvEC+mPZf/tG+8s8Cf/5T5pKmvjozTcTMDHD3onRBxHNUi1ZD73zB3nDp26pnI4fOxSpyoKzZpNGGcYuvrauJF5QcT9rZFMRH6GqOV1gW3qXFqusdfzvtD3oFVz+NobC/zoziH7Ax9DUxhNIzp1h/s7IxQBGpAiBdNZlgIG1bKFH8qefLtmM5mFaLpWJGeHUcJyu0yrbtOqy36BpipS7CmgPwnRVZWSrcsEyTAmjBXubg45HHhEcYrrGBi6Qn/i0666ZCItBvZRkvKTe138vN6ulkzSVPawbEtjoVni1sM+QZRQsnUuLte4vzWk05Ckak1TGI4DMkFxTh/PQo4nhPeGAVfW6qzvjBiMQyqGybd/uIVA9kOkC71Bu+4wGId0Gs6nvo/dkY+Zu0pu7o9pVC0uLddZ6ZToDn2SNGN1vkJ/HGAaT94Xtx72SXKRmBBwa71fkEL646Awxjg6fwehTDXtjUPmG86Jnvx4Fp14vf1RcCbiOMMrjfEsYubHeYrNk3tfvWKxMl9mMJYzupW5T6/dzy1UQch+V6VksNf1Cnfs8SxirpHJNbHhcGGxxsHAk4miTZe93gzHkvOpq2t1vv3jbZI0o162GU7lrKLkmMRJysXl2onnL0nlrEtTVS4uVdnvy4TcuYaLH8ZsH0zojwPWFqpUXAPHlr2SLMswVJW1+SrjacTD3RFJkpEh6I8ThpMAXdcRwFdudKhXHG6u97j5oEtv7DPzJPEt02S6OkgDFyGgXrG5uFTj9sMehioTWU1dpewYNGs2UWRQL9skmeztpWnGLEgolzJsU6PsGEyDmCSTvVdDl38nVZF7XrVkUq/azDddoiSjUbFI8/jG8TTkw/tdrqzWCzIegKqq2JaOosJhz6Ndk+usbeoMJyGurRf9jt4oeL6I4zOey4IwYTgNsUyNRuVkv/L4+9eu2z8z87nTtcKrdpb8ZcJREsfTTM3O8HT81vsr/E//8Sa3Hg14tDd+ITfyM7yasK0XP7f8xpeW+buP9zgYzDB0g0d7E5Y7ZYaTkO9/vMdwGmJbOlkWk6TyvPpwb0wSywSP96/P4fsJoyQjE4Isk0S5OEmL/waBY8pkrHrFol21CeOU/iggFRmtisPIC5jMYvwwZZoLIQ1NYzSN0FU5N+iNfd690kFVFA4GPnMNtxCDXFqqMfGlK75lqagoBGGCpqpESUbZ1Km40hD1iDR+fMaRZYJ720P2uh4lW8cydXrDgHML1eL8dWdjQJoJLi7XCOP0uUK9LBOFgCPNMvb7HmVXzlwqJZOSraPpKmtPmfeD7Gc82hlRckwuLp8lCp3h1USn4fD3t3a5+aDP9fNNbFPH0uUz5zoGfiDT7TMhqJcNJrOYIEpQFaWYk//ozj7teonf+coq93fG9EY+C60S7brDD27tMfVirizXmfkxunZk7pKxPOdw0A/RdY2v3ehw/XyD3e6MRtXmwc6I0SQkiFMqjsnX35rjcBgQRRlffXOe5rE++l5vxsSTKcCapvJwd/xcEcd+z2O7OyHNwDIUHEsnjDNUFeI0e5z2I2Ste7xn/4e/cpH/+LcP8cOEty+1uLf12Ch2PIt451KLj9Z7uLbBt95eOvF7j5KEw1jOYM4tSI5BkgradRs/SumN/EIYN5qGbOyNKbsmuqYSxxl7/RkLrRI73RlBmJJmGUmq49o6Yy8iSwUXlqpsHz5Ov+sO/RO8JEPTqJYlH6XkGM+tqZ1P2Yvevz5HlKRMvJjV+Qorc+Wix9KqOc9NDp5vuoRxymQWUS2ZzDXOZiO/KIjilP44wNDV13Lmtd31n/jYQX/GXPP15r0MZumnf9ErhnYt53amGY6tF/zy1wmKolCydXo5n/VlE9VfaxHHkYADYDKZPHXjeeONN4r/tiyLGzdusLm5+XO5vlcFjqUz82P2+x43H/aYqzs82h3zu187x3xTDg/KrvnUIic+FVXo5E0+VVXZOZjSG4eEUUompOIyywSVkkW8P8XIhRa2pYOhsjpXkY5cAjb2x3hBgqqqzLwQPzBJRMa5doWJF/GjW12+f3OvcMn76w+2WWqXZURbzWG/7xHFCQ93ZHRhdxSwuT+RA5I4YzjVmW+6vHGxwfc/PiAIU3a7M6olg8EkpF62SVOZUnLUcK6UJME7iGQBUrJNbFPlH3z9HEJI8jpIR4N3rnT45ltL/Pn3HvHDWwf4QYIXxNJZPCdxP4/UeLzhGUQJ//7bDwgjGXH8wd1DvvrGAiBjNHcOp4UYY6Fd4tHehLmGQ5xknF+sMtd0uXHhSdX/cVdwgCtr9aIhapkaft5I1jSFrf0J3/lwlzjJ6A493rkyR6NinTmFfs7QNPUJZyhNVYr7IQgTPrzfxbEMVucqVFwT19LY/P4EP0jojwN0TeW//GAbz5dCkM19ufZlWYaiwGLuTnn70QjDUElSwWQWsNudYf7/2fuvGNuyM78T/G1vjnfh43qf5qah98WqLq9SqxszjVFPo6FGPahGo4fBAHoRBnrSix7nYQCZHswIaIxaLUFqtUoSVewii0UWk8l0THO9Ce+ON9u7eVgndkRck3kzmWTmzYw/qsCMGxEnjtl7rW9939+oCqahYi9UODlfYXVnRG8kovYKlkaSZHhBnEeW2qbG0myJmyt9wjgmjFNMU0WVZVpVG02RWdkZEcUZu32Xol3h/saQ9b0xuqqw2w94716XNAPLUDB04dB7ZrHC6YUyN9b6YqCZkR9ebFND12T+m9++wLX7PcI4JYxDfvTmFqfmyyiKTEZGmma569/IjTD2FfyajHnIYfHPX19jryecRYIo4eVLs9P10OHHv9giCAVRvV4xOb9Ug+ngA2BtZ8ROVxAxdroOz51tojxCcLHTdVibxgZuKhOePdt83/v/3uYwF1K1Bx7PfAjXYk2V8+SGY3y6sLo95F9+/xZpBj+/Br/71ZOcmq9wc61Plmas701oVkzcIKFg6ZyYE+vx1fNNTs0/3NgrWFruNot01Dn08DW+T1CwTTVPeICjjrQgSBdXTjfoDj3ubogh5Gs3dinZmmhi6iqn5sv8+Wvr2KZoGuiqwtmlKoPJOl+4OIMmC1GCLEsEYcL55QqVokXBFE1dEAWqLEPBUlEUmefPN3nhkAPuYew7M+w3XlRFZqfrcGquwv3tIbP1Aid0hcEkIIxjeiMR9yxNI5+fOdPkB6+ts9MVTYr7W0N+/2un2Gw7+Trm+BFLzQI3V/qkKcRJgqJIdAYekiTxhUuzTLwodxIWa4CSJxPUyyar22JN88KElAxTVYkisQf3RsGUUB5zd3NEo2xwb2uAqshIiOcpT61DLF09QuTc/5z272vXD/n3f7lCGCcMJgHNqsWZhQq7XZdnzzby9WffYUmWRBqXrilIkiREsGfq/KefrtKfOqvONQr81pdOPO6y/UD0Rz6/uN0mSYRgpFG2uHiq9pBD8DHeHzdW+/RHPms7Y/wwRtcU2gOPMErpDsQe7XgxnaFIrVJVBVk+EG08iCgRwb1JypRkJOytFUQdPlO3ObtURdcU7m0OWd8Z44cJrZqNH8bTqHGf3ijg0sn3H5DONQr5QVNRJM6fqPPOnfY0LnfM7fU+f+0bZ9D1Dz5WPneuxXPnWh/4cyDI7DfX+oJIJsHlU/VckGzoIrpdnhLVNPXAFaj0mDPNx4nXru9wY0UMmG+s9vmDr58RLl/HOMYvgcMO7ve3DlIW55sFygWD/jggSUZ4YUTqibr8cUkc5lT4sdPz8KNkKgTNyAjJZIlWTaE7dIVBQckkSTJ0VaY79pElibEbEYTxB67zlqESxYKEJU+JSB8WRVt/5Fn2w+BJXfI/CZiG8sDXx2vFMYS5yk7fhQx2ei5jJ+K7XxB71//7373DZOp8N44jsjSjMb2+XS9GlhVUVcHxhQnC/rU/diOCSKwKt9eHvHypxdeeWwTgrdt7+WAyy1LCKGI4EdfmYrPIb3/5FCDSdfZ6br7fbnYiKkXx+BM34tkzJuq+AMUN0KYJISMn5tLUiTLNsrzXBFAtGriHvl6cKTzy7FOaiiX2SaPKIUWr44f86K2NPH3j5Usev/Wlk498b8XfEgSS3Z5IEN1Pw/jF7XYuqB5OxtMkH/F3Dg+F+2Of2+sDmLreXT5Vf6RgM0kzrt3v5r3COEmPGDTMNYtHRKifdoRhzH96ZQ136jTY7nt89fmFD/itTzcaFetT0dOcqVkiydmN6I2FeCCKEnRFJk2FO7yUZdPaX5BtWzUbXVdQkKiWLIZOQH/k44UJWZqy1/dYmi1z5XSDMEpzYaVlqDxzpsH63pjdrkuWicTfKEl573aX7sCjPfBQJAllLITRqiLTLNuE0dHKYq5usztdq2RZ4sxija9fXeDa/d7UMEhnebbEQrPITk+cZ26vD8iyTJzho4RayczP6ZZx1BXXNBQsQ50mDyX82c/XGDkBfpAw37RpVi3iOGXiRmiqLExhPqDWMHUFP0goF3Sunp/hhQstZFk64sC530t4VJL1g9dLpXRw7x/usey7VG61henSVnvCixdnjvT7Tf3B13tcAxzj04veyOfO+gCAjT24crrxSBHjQrN40Kt8AhzuY8dJSrvvoWky+AcJNvv1cqtm0apZ+EHMu/e6uWjq1EKZatFAUcQ60B8H9EY+XqDh+kluULZPzkzTjOsrvbweqVdMnjnTYK/vcmulxzt3uoSxIAZIkhCnIIFlqiI13dIYOgEFQyOMUsIoJpkSW1d3xhRsA9tUWdudEMYZP3xjg+EkYDA5qHeIEpSiThRn/OJ2m1PzZeZbRSGgs3V6kwAkISSt12yu7vdJJHjubJPdnstez+Xa/S67PZdW1RIJ5kMvT1IyDZVvv7CI+QjBjarIlAsGtqnxzt3OtK+acm9zyB987TTq9L2/udqjM3C5sSKczR0v5i/e2OBv/1dXSaYkvv36y3yCRKsnPZf5Ycx797v5Y++b9Tzq8xs5wWOTVj4OfFpqhc8zOgOP7tBHliXO/Qo/688aamWTLz8zx0/f2eZPf3Kf/8t/ffWTfkrH+CXwpGtRtWRy6WSNt2+3STO4udLn7HIFXVVY3R6J824GtbJFraTx+o22SPJMRc1/b3tMwdLojHziKCUMI/woO2IQo6kKhqkxW7P54jNzXD3fzGvwsRty/X6XV97dIckiCpbKcCKLfWUqBrmx2mOzPSFJM+5tjiie1dB1kei52Cywtjtht++SplBs6ARBRhIHyLKMrsmcW6qx1ZkwGAcMxgHnl6vUyuaRWnzshsTjlO7QpzuEE7NFiodMaC6cqFGwNDb3JnQGHsNJwLNnm48l08mySPIOwkS41etK7gBdK5k885gUQBA9iO/9dCXvC/RGHl+4PPeBn+UxjvHrxivvbvHvf7xClsG9rRFzNRtdV9F1cWz1gjivvwdDDzcQucEJGb2hx+s3domTjK32hL/8xSaVoompqwwnAf/2h3fyVK23brWPzMVVBS6eqPLsWXEPzzUKR+6Rt2612ZwmgvRGAb/5pSV+72tnH/kaLEOmPfDy5zlXf3+ThFvr/TxtRFcFv2j/jGNpR2voBzkV9YrF//n3Ludfb7YnucmFpsqkwLklMVvtj4MjfcOCpR3hCVWKJsuz4vtJmlEpOIdSgjK+99NVwniaUCrD9WnqUH8csNgq4u2nCssxIzdAlRWQhfHO4SS8B1+DbanMHSKjWx8ww32/vUjXVb790kFSyeEey17f5dkzzcdynSRJOhabfgYRJynv3TtInxXJw08Xb2R55mE+39Mu4AA4Pf90fQ4A63uTfH7l+TH90cMCm0870jRj4gkOUBilR4x9Pgye+u7x3/t7f4+f/exnAPyzf/bP3vdn2+023/ve9/gn/+SffOS/l2UZrut+8A9+itAqK4SBxK2xS9lSIUsJw5S76x1K5uMPHt2hjx8mFIyMKMko2RpFE1zXJU1TygUNNwiplQ38IKFe1JhtWCzP2nT6E9Z3J2iajG1IWKZKFMfUCgrVksGdjS6GLqMnGYqskWQJlYJGEEUMJwmynNEfBUjT81QQJHzr6hzb7QluFLHYsrEMhTjJsAwZS1cYTjwaJX0apZhRMiXurvXY600IQqHg7/QddFXG9332khApiymbEjfXBqRxTBSFDCY+zYqObcoYmsxed5TH/4Zxwt2NLlt7ReFonUbUSxpBJNMo6URxiCablKbv05Ngsz1h4hwkY6xs9XnmlChkZGJsQ0JVVDQ1o9Mfo6kKpgZBELDdHlJ8TF90p+OwuTtkMAko2RolS8JQxEKx3DTY2ItJs4z5hsUv7nSJogjHi4iihN3uCFsvs703xNIeRw86xscN01A5t1xlt+tSKeqUbB1TV/iyO8+P3txAVRUMRSKKU7Y6E8I4IYyEO1Mcp+z0vNzBduyG08jBDCRBcCwVdLIs485GH0WRaPc9xk6AriksNIuM3BBVlbEMhTQTcYjzdZtTcyVWtke4QczJmRInFirM1y1+/PYWbhDhhwmOH7HdcXCDmCBMKBc1+mOZwSRgoVmgWjYIgkREayMK9q88M8+r13awDJXT80V2+z6qAqWCwa21Phu7YyZeKIjXaUp9OgiI45TuyGeuXqBaNIQTvSRRslXmGjaDcYChKWQZ7PXEBh+ECTs9l/futtENld2ekw+CK0WRelIp6jSrIt1iOAm4tdZHkWUKlhjauEF8JNFmH/vDE4AkyZi4Icb7NNz6h37e82PCKDke5n4GcHt9QHpouby7PhSusJkgWYuo+5jTC2XSNKM5TTV4FIkJEKIlWSKMEmZq9pHDt4hNhnfudphr2Hzh8iyyLNaG/fSdrfaE7Y7DfLNAFKeUCzqVokF/JK4/x4+EaEuT8cOEna6L60dICAfQJEkJMugOXYIwYeiEfOvlJX76i210TeG5cw0MXcPQxD093yzy8qUZNtsTrpypc26xgqoq7+vMF0QJ7b7LytYITRXPY/9e607J7PsO/Ok0brU2TRfxg4QgjNnpHbhM7HQdbqz02Ol5FC2Nk/Ml4kS89pcvtVjZHhPHKYutImGcUCsabHUmNKsWzapFFCc0q9YRx8E0yygXdfb6LqYmsTcICYKYE1NnOkOLqZcNOoMUU1NAliiaOhkZuiaEc0VLpV6xqJVFAlOGaIgVTY3BOJiSzTLubgxx/BBNVQjCmN7Q58yCcAo6vP7UyyYn5koMJgFfuDRLkqWAxNJMMY+Rzd+TQ+/PR8FWx8mHqgCbnTEXTx27on0YRHGC40W4gai7VFVGlsT+1KyaxEnGdsdBlpje8xlxFGNp4EUHQg5VEQ7WErD/kWTT/VHTRPy5qak0yzonZ0s0yxaLMwWSJKNoa6QZZKTIEqiKlLtBbneF442qyCRpxl7PJc0yZmoWmqrwzRcWeP3GLlGc8syZBrap5k1VAC9I6I78XET6KMRJyl5P1MUzdfuJEqgG4yAnPJGJr/fvgTOLFTRVFjHrWUalaPxam0OH3W2CqWuObT59TZFjfLrQHx+cB0UaZkatZHJuqcb97SGyLGEaMrfX+0zcCCnjsSIOIcQQTrqHk7ySNMUPQhQVVE3BUBXKTZ3FmQKOExFnGSVLo1E1GTvRYx79AGeXKqztjImTlPlm8ZHDUD+IaQ88DE2h9YBD9ZPA86PpEEji4okq1odI+vg0oGQLF77O0Htix+JjfPYxcgNMTcndIEfOQe028aMj93aapQRhLNYAXaJRNkRKh6nSKFvEcYKuKThejBfGRFGKrgpxSJI6mLrCmfkSaSIax62azXyzINJpbf1IAs7ybInZus3bt/eYb5WYrdqM3JAsE2lejh+zsddnabZE+dC5WFNl5ho2biBcMisFg832BFmSeOZ0nf/99XW22xMunW489uxTtnW+9eIS11e6mLrKixdm6Az3zRjiI/Xoytbose9t0dIp2RFpliFLkkj20MXatLozFk6AmSCMXjldpz8OmG8W+eYLi/ljDMYBE0ekBNqmSnvgMXRCZElipm7nxG9/2vvYh6ErNCsWXhjTqlpPlYADRHLDvoADYKsz+QSfzWcL97aG7PYmyHKGqcl4YQyZhGmoBFFARiaS+CRQFUEgblRMojSlbBlcPFmlP/L52bu7FExJXNtpJgjF26Mj/SQviAmihKWZElmacW2lR6Wo43jRlIwsrlk3jKnqBlmWMnIidvsuc3Wb2brNYBJwYq7E5VMNLEvl3uYQx4tQZIn72yOc6XVSLogUr3JRZzgJMHUlF5N0B960Py/jBTH3t4YYuki8vL3WJ5MkTs2XWN+bsLYzZuyKtDHLUKYJvbDQLBDGYu3SVHlaK72/s+2FEzU2diekWcZiq5iTCA6fkfd7CY9KGnjx4gwjN2Rla8hMzeY7Ly3l3xM9g5ShE2CbGiubg4P304/pDrwjIo6CpXF2sUJnINLBl56yYfYxPl/ojw7OIlmGEDF8zPuYqshcPFGjYGq0p2nwc43CQ732kRPmxCwQ+7IiS1QKOnGc4ngRmqqQpCkjN0TXLLY7k7zGCKPkiKB0v28/U7NZ2x4hyaLuKBV0kjRjtlHgCxdnuLc5JEpS5us2ez0XQ1c4t1Tm1vqQMEpplIWYdTAJiNOUexsDtjsT0ds/VA/IUyJVvWShqaIWsQw1dyO2dJEuIoRuBr/x4hKKKh/p/y7PlpAQwpK76wOCKOHCySqDcZHXr+/gBRFnFiq4QUx76GPq6jQJSUCRJS6erLHZnuAHcS4IHjshEy+kXBD90JXtEb2RT5aKHq2YF4nejaLIXDxZZ6s9QZalvOcydsM8paNWMri+0sf1I84vV4+ko70fxk50pLbrj/1cxPHg53d4/T7GZxP7pM9Tc+XjGdmHxF/7xhl++s42P3htnf/+96987Ov2MT4dSNOMvb7LaCLWw+//fJXO0Kdka0zciDvrA5ZnyzQqglBtmyqqKmNoCpap4rgRkgSKnBGGCVGcoEgSkiaTZRJKllDSNZwgJktSZuoWS60itbLB2Al4/fouS9NewWAckKSCLzSaKGSmzlxDzDCjJEHRhAGsaSioikIUpYy9iG9eXaQz9HhtEqAq0vScIExkWlWTNBOztDOLVd6+02YwCVhqFTB0jcEkoDZNmoqTlIl3cN43dIX+KECbpkGBELaMXCEo3xefRNP64f0SwS+eqLG+NybLRL+zNwqQJFj+gD5eu+8e6Qtsd365edwxjvGrwps32/hBTJSkaIpMQsbyTBEniFieKfHqezuEoRDxarpOEAeE05IskyS6Q1+k/egqN1b7fPmZefG9DO5uHhhM+mHCd15a5vpKnzTN+IOvn2LoBPzF65uUCjpffmaWkRMynIjzRtnWqBxKrYDHzw4NXeP8cpXdnoOpa5z8gFTvLMumxhEZpq5y9VyLlZ0xmiLxhSuznFoo0xv5WIbKYuv9herfenGJH725SZZlvHihxerOmO2ug6EpGJp8ZD652CrSH/sMxgEn5sp5ohAcrdNlSZqa6B6sIas746lxluiD6LpMpVDAD2PmmgX8IKVoibUtCEUi4X5C8IMz0vlGgd7Ipzf0WWgVP1YTrH2uCYgey4dNaD/G0w/Hi46Q1AeT4KkTcfz8xt5D/3Zrq8uFhV+tUeSvGo8yevi0IwhiyCAFVAm6o6evDyBJEs2qheOFGLqK/nlM4gD4R//oHwHwb/7Nv+Ef/aN/xD/9p//0kT83mUz423/7b/PHf/zHPPPMMx/570VRxPXr1z/y73+SsCWf7VHA/hhu1na4Hrcf+bO9cUx7KIYykgQnZwySiczg0DqWBmOKakpmJpSMjHMzKYriMey57HUnSCQkSUqWZqRxhpIl7O1u4wxlpMQj8IRrpyLB+RmNN+86DMjwwww580mTiHRaHCoyvPHeKoNRhK5J9IcBzXmdcZYwHkZEusxCXUdLZYIwJQF6kURnGHJ3bdqElmC+5LM2SvNGcL+m8fb1jN44pjuJcb2EoiXRdzMMKSBTZZxBQCdMSVO4tSWi02/cFQ85X9NxgoRqQaE3SRirDtfHXYZdnZL1ZE6krp/S7Y5zlaxUUbl+XTRL94YR/jjGC1N645hqUWF7kuAMVUxdpl5SiSePXoTX9gJ+dutg6BpMOrj9hxXJa2MY9Xw6nYAozhh5CRPTZz0e4lU0gtFTv0w8VaiVzCMR0lGc0B+HPD9u8tqNPZJUpGVYukqlYORDAlWVqRQPDgEjJ2DixcRxSpaI4aGhCadJVZLoj3y22o6IPy2baMBSq8hO1yWKE/wgwtUUBpOQb7+0xH8xdec8jK8/v0gQrnN7vU+775FMCeSzDZskAUNXqRSzqSDEJClkhHHK3c0h97aGfPW5+VyZvrE3ZnlOpBaEUcq1ez22e07OTsuyDH1KvlBkmZIlfm/sCgHH8myJ1Z0Ret/D8UQc95XTDUq2ztgNCcKE3sgjy1L8MOXiiSqDSUizYqIoMqcWy1ycuocOxkLAMfEiJm7EQqtIuaA/Nm7VMlVG0yh4pIeV7g+iYGqM3TD/3LT3iXE9xtODuQeU2Y2alTspKIqEqkiYuoIsyVw93+LZ93FvATHcfFxM/fruiB+8vk6awV7fo2gbfPOFReYaBeYaBf70x/foj4OcwPGlK3NsdxwunqxhWyq9EVimgqLIaIrM7sRl6AQoU0e7hWaRkRdNyQ0JYy/C0GUcL+ZLz8xRKuhsdRxaNZl7myN2ex7VknD//+4XTjxRskycpFybKvQHk4A0zahXTKRp6kjB0nB9UYeUCjovXJxhqz1hNAnz91TXFCoFneEkxA9jxk7EcBKIgWNmUbR1nj/X4tLJGkGUMt8ssdt1mPgi9ePe1oiCrROEKa2ala8BhyFLUp5KstP1CaIEVZW5vzniwlKVDcvB82MMXaFWNjkxW+D22gBNkTF0hUrR4MqZg89aloXjRJykvH2nQxynuXNIwVTpjnyaFRtNVfLrR5D2jq4T+5/1Q+9rLIgv+44glcLDwrMPg3r5aGO79oQD2WMcQFWEi9T+HhLFCbKmUi5oBFFKFIm61J+6zGZTMQeZjKmLoUaWpUSJuO4NTc4duvfbI5KUYWgarZpNq2ZRLZvMNmy8IMHUFWxzGpWbAZI0FZZFqJq456+v9HjubJO7G4Oc4NAZeDx3tknR1o84rADUikZO8lMU6ZECx8O4udrPyV79ccAzZz64AWI9kGxxeBD5fuvjrwO1khCQgnj95V/yPjvGMUDUh/vN78PpW6oq85Vn5+mPA+6s93nnThdFlknl9Ai5aR+mJuOHKY4fPZTmk2WQZhL9QchkEnPpVJ2zi1VUTebMQpk/e3UtJ9OUi48fbO5DmyZ2PQ5RnHDtfu/AQSWMP5TrUhSn/PCNjTzBbrvr8FtfPPGRY2g/KeyLRY9xjH1US4ZIlps6oB0mEjxYRYdRimlAmmTEqczilECQZCkLzSKVgvjd9+52cPwIRZFw/Jg7GwP0KWFBU2S+Ok3lcPyI7lAQisM4ZbM9yc8lq9tD3rq1R5qJVA7bVKiXxbU7ckNeu7GDLMns9T3OLlU4MSvuZ0NXOPHAvX3hhBD93lzpM5qEFCyd9d0xuz03J+k9iAeT3krT/bVS1Hnlne1cMN+sPf5+qpR09rViQZTkhEkQgtg8FUTK+J0vn8J4xNk9jBK2psSL7jCbisLF+zxygvzMsJ8Mtr9ulmydk/NPr7NcuaAdeT2VxznGHONDIYoTekOfMEqJE5BkCVPX8IOYkSNIUOIqlUQ6hiKhqRJXz8/QqlnomjJNo5Q5u1wlSVMGowBNkXF8YX7QqJg5QUlVZHRVRpElNtoTekPRx97qCCKv6BMkItEOmLgxph5QHGtYuspvf+Voys2+s+Qr7+xwd3PI3c0Bc/VCXicszZS4dLKOhBjiK9PH1TWF/iRAdUO8IGZlS4hN7m+PyLIMCYnvvbLKbKPA0AmYuCEZGYamMlOzKRd1ipbO/a0ho0nAyfky5cIHX5Omrj4yvbZgqgwf6CU8Dt9+cYlvv7j0yO/NNwvMN8U5vNN3UWSJJBXGOcVHnAmOHd6P8bSgYGl5zQ0ccob9eFG0dS6dqnPpfX7GNo+m2BQsDctQkWWJetmc9tQz9no+UZwwcSMaFZNm1aZoaWiagqrKeRLu4ddy/kSN2xuDfK87NV/m0sk6szUbx49xvIiRG/H27Q5LMwUs0+DyqTpkItdwo+0QhgnDSYBfMbENhSASYlsJUGUhlldkiZEbEicpiiITxSlxnJFkab7WtaqiD9moWg8RqhRZ4uR8WSQwTWuXKMpo950p0VVldXfEq9d2hdEcwnzuMPmsYGlcOFHj7saQ7lAI7HRdwZ6urZ2Bx2gihP9+lJAh6s4kOzhjFqePsQ/Hi/LUDhDii30H3vubI/7wm6ewzQ/ujzz0GR/6jDRVfuznd4zPJm6tChHHhQ9ICj7Gw3j2bIMTcyXWdsb87z9f44++9Wjn8mM83VjZHrG5N2Z1d8zq1oiJF9If+fRHPkVLQ5I0BmOfetnk7FIFx49ZbBUZjT3+8q3N3LhJUcS8KYylA5OCWhHHD8WSnIGmyZQsg0sna6zvTdjtefhhzJnFChdO1FhoFlFkGdvUaNVtyDK8IKE9cFnfHRNEKZNJxNJMUczKVYWSJQwhygWD5ZkSuz2RFghgGWIOePVcC9NQeftOW7y2ccBuz+PLV2ZzUrAkSbkxynbHET0LQ8NuaVw8WUPXFN64uce1e11AnN0vn25QMDUk6eGk3AdhGirnlw/WoWb1/R3+9yH6OwdO+Mfzs2N8WqGpUp5OGyDmhl9+VggxkOC9eyKtDiBN4lzAAeAHKas7o+l1HhwxdgFoVk12uvtCYIkXLs7kCbqjSci//8l9oiSlN/L5D3+1wunFSl4HFm2dhUM17Hzj8ffevthiPxmw8gH3W7Ni5em8mipmiqcXq+J3izozNZuZ2pPd63t9L+9ZdoYeb91u5wR2WZa5emHm0M+6+EGCqau0+y4ztaPmkYVDNXZ36CFJ7XwNWWgV2e44WNNW8YmZUr4eCUGenM9aNFWmXjYfO3foDn1cL8bUVXojn7EbfuAs90lhW2rO1xAz8GOu0+cN5vSMvj+jfBrPbc+deriP/zQKOORpyuc+ziw8XWIaAFmRQBIyvhQoFZ6+62nf6KI2nfU9Ktn9SfCZYWf/jb/xN/gH/+Af0O/3qdWOHvYnkwl//Md/zHe/+13+1t/6W7/U39E0jXPnzv1Sj/FJ4fJluLbSpzv0mW/YnFt6PPnp9voQsxzmXy/Nl2hWjhZCy6dC3r3bI0kz6mVDOL5ULV67sUulLBzmTSOhYGksNAs8e6aBpspIEnx3UeZn7+3i+gmNskG5qLO8MCIIExRJZmnG5tsvF/nRL7YA+M6LC7x9t8esHKLKCmMvxCwU+Y3zZZAkxpOQu1tDDEPha8/MYZsasgJv3uyw4I+Ik0woYYtl5q2UiRdjaAoXTla4tTGiaaQMgwGRG6JoBpIS0HVknj/f4L/45nk29sa8dqNDlPWoVwRhNEkzqrU6epCiqRJnGxqtqiXi5lSZ2myJ2UNuo2masdt3CaOUZsU8QkZbPOFyZ2OIZShcPdckTVPevd9HL6ZcmtdFXFqcUjA1Jn6EoSmcnCsyV7eJkywvjGfrVl4kBWqH5UmHIEzQNZm5+RqXHxPhePkyvHevR28cUDBVqiUD21CZrT+ZW+rICemPhevazEdwWH2a8OsScbX7HkNHpOGEcUKSZrRqJpauIkkS5aLOXMOmVNCnTk0Wy7Ml3r4jPvPtvRF7gxCQKBU0Ti9WkCWRslGyNSE+KuuEUUq1KJoMrZpFRsa9zSGGpqCpMiMn5Be32zQqJl4Q0xv7bO5OUFWZatGgZGuEUUyaCvf8mbrFldN1VrfHKIqEIsHewCOKEmYbBdZ3xvhhQrmg4/gxZ5cq/OlP7ok4dUUiCGJaNSuPL22UTMI4ZXmmyJmFClGSUbQ0KkWD7Y5DFCfYpkacpARhghcIpffEjUjTjN/84jJv3W6TZhmKWqM79ClYCoos88yZOhMvwtBVzkwPbUDuhDpbt9EUH12VuTRtAj0KyzMlVEW4CzYr1gcqzc8tV9maxsnONQ6cPI/xdOPZc032Bi63VvsstEr50D9NM0ZuyGKrSBSnIjb4AxwdHsTYDXP3xrmGzcr2+Egxvro9yt1jwzjNXcqCSCQAhHGCriqMnJClmSISEo4f8UfftNnuOPhhQr1kkgElS6VWNqlVDIIoIYlTThoqUSJEWLN1m+EkpDvwGDnCrfXUQoVqSaRyhXFCHKe8O22WPn+u8cgBnh8K936xnohB7FyjwKn5Mn6YsNQqstt3CcKYhWaR7sBD1yT2+g5hlLI8W+SVd7dZahVpVBJ2ey4FU+XG2oCiqQqXz5rFQqtIkmbUSgbrboiiSDTLFoauCOJ1JkRi96dOIRM35PbGgLKtc/ZElf5QNMDDSHx2siyEHaoqsdmdcPFEnc32hFbNwtTGbHVdvvn8AhMvAhm+8xjyh+vH+UDS9cV6NVu3WWgW6Aw8Zmo2L12ZQUEWa5H6ZA0QVZX5xouL/OStLRRJ4htXxXXhBTG7PUEyWWgWUJ4gCQFEwsrXnl9gdWdErWTw/Ln3Fx+BuO52Og6yLDHfLDxR6sJnGZIkcelkne2uQ7Wks9MVceGzdZtr97ukRka1VGd9d4LjhWRJRpSmSIAuK+galAs2/YGHH6cEkbj5VVmkdCgSmLpGlqU0Kgb1ssnqzgjXj7h4soquyTSrlkjXiVLqJYOhE7DZdjgxV8LSVTw/Fq6ykwNng2Baf5iPiNj9+vPzvHmrjR/GXDxZf+RBdDAO6I99DF3JBRwghv5Jmn3g3jdTs8kysf6VC3pOTPg04CvPLWAae3h+xLnlGpUnILsfxl7PxfGF+9fxYOfTjThOeWdKjD6/XHss8fjjwHyzAJLYH+plIWpc3Rpxc7XHT99xCAKxp8sSFCyVOMlIkoQoTomSLBdsmIZCECbE8dHHtwwFVRZDAk2TKVoa9YrJRmdCEqdM3IAzCxV2ey4zdZuXLrQ+1PPfv+dtU8vfJ9eP86ECcCB6fkK4fsRw4rPdcYjTlDCO2WxPyLKMckE/JkUe46nFCxdmuLs+YKcnnO+vnj+4307OV9jpesRpiipLFEyVMEpQZJitF1loFugOfS6danJ6scpu10FTZTR1hp+9t43jRTQqwkFaONMpvHCxyan5Gp4vkihffW+HvYGHrav4fsTPr+0QxSn9sc/YFWl9miozW69SLuhESYquSbmAEcQZZ9/xeZ/QvI/O0OMnb22iKPI0HXSKDFZ3RnhB/Mia1PUj9vreNNmjkNcKc40iv/nFE/zsvR1qJYNvvbDE//z9mzhexDeuLnDhxIEQ+9xSlc1p/PZ8s4A3Ja0XTI1vvbgoephJypXTdaTH1CL6NDnIC2J0VcmH2HB0HVMVmUsn6+x0HVRV/tBnvE8bbFPnu184wY2VLoau8sKH2Ac22xPubw2pFHSeOdNAlj/f9f9huFPC0gvnW1xf67K1J9zdpbLB6naKLMVkSKRpim0q2KbB+eUqsw2bZ880afc9bq4K84NzC2XubA+plgyKto4iC4evasmgYAoTBEkSaYrzDZtba33WtsckWYqqyBRtbVp7emRZRpak1BpClFCvmDh+yF++uUE27WEUbJ0XL7R4506H9d0xpq7QqtnYlkazKvp2iy1x/59dqrLZnqDrMv1RQJomyDJomkKzauGHiejfOyGmrqKpEoNJQLlosDRToj/yj5Ap7m0OubHam5oKSNRK5vsKRz8I+88vjtOP7Yz6zNkmpqHSGXjMNwufqMj8GMf4ZbFvEjLxImol40OfcT8KHC9ir+9iaApzjUJuCFO0dc4vVemOfGxDZb5ZQJIkLpyosb47plTQkWUYToRIQqTjevzF6+ucXqhwarGC70fs9lxOL1aOCLsqRYNvvbjEnfU+lqnxwpRsVSubUydcMbOI4pQkhavnmqzujJip2fjTZLD19gQdmbKliaRRVcH1ImbqNhMnQJYkTi9V2Gw7DB2RJO74EZvtMVkKJ+dKjJyIoq3xjasLlGydN2/uMZgERFMH4mfONSnbOiMnZLM9ZjAOUBVZpKgrMpoqo8gyYyfMeyWjScjioa175Ia8d6dDyVaxzRJ+FDNTMfmrtzdZ2xnRKFsszRQJooSFpk136GOZKpdO1djtibTmWsnENlW2u0LcKh8iqQJs7E5yA4IwTugOgycScRQs4aLcHQrn4/lDJjWKIuYwO91pD/OB+ipJUpEanGbM1e1PLLlB9L47TLyIc0vVRxrtHOPJsJ/EcfFE9ZN9Ik8hJEniD79+mv/Xv36bP/3Jff7wG2eeyFzrGE8XhpMAN0ggg7EnCLiqItMb+ZxdqnD+RJ2xG7I4renb/akRSt+jUhTu9hISCzNFvvrcHGu7YwBGTsRcw+bbL1/g3/7wNrahYk7Nwa6t9IjjhPbAY+RErO+NGE585htFVFXmzFIFCWF+5gUxd9YHwohsKhjRp47w8/UCtbLFyAmm5xFBmm73XUxD4eVLM5xbqnJtpUdnKHgEGWKtHzsBkswje7FzDZvu0KM38lmaKeZ1y+6UKwOintBVmXrFZKZmP3LG8Sh0hx4jJ5ymDmY4XkSlaDx2NlEpGnzn5WVurfUpWtoRIvevG8NJkKcKzNbtzzRX5xiPxn79J8sSz51rCeHsFAszZWbqFhM3wrJUnjnVZKFVwA8TmhWLb720wF++tUWSZFQKBba7fp4UnCHEva4fo6kKJVvlxFyJiRdRLRo8d77Fn7+2huOGvHRxhuahnv1We3wkrWZtd4RtCEPDsq3z3LkGEzdkp+vw4oUZTi9U2NgbEydiZi7L0pF584UTtTz1e7FVPHLPPjgr+OaLC/zw9U2iJOXrzy/g+hF//vo6lq7yR984zavXdnj7TptWzeYPvnqS3lgInAX/Sc/nQucWK0dmnN1hgGmoeIGPpipk2VEnrcO9wyyDiRsd4Q75Ycxu181f08uXZnn7TptqyeA3Xlrm1Ws7rO9NWJ4p8tXnFoQpR5jQqlrYpspm2yFNM+abhffd94/MYjKRyvdRRRxZlrHbc/ECMbt6sP/6eecBfB5haAoXT9bY67nomvLQue1pwP0d96F/W9sbcmLm6ervydmB6SeArDx9MoCzCxU29ibEcYZlKszWnr7zdaVocHapks+i5t5HlPh+ePo+vSkmkwmO4zA7OwvAn/3Zn1GtVqlWq0d+znEc/viP/5hvfOMb/J2/83d+6b8rSRK2/asjb/yq8YUrT/bcW/WUIBYpDpIEzVrpIWKybdt8t1F96HfnWgFxsoumqWiayrdeWmCxWSaYRoyXCzoFS+PLz2oMJ0HuIi7JDoszBUxd5blzTVa2Rlw8KciCkwCePz/Da9f3CKOELJNYnq9Sq9g06zr/z//f2/njjyYx/93vX6Hd9zAMHV3TadU0BuMQXddZnZIzFVUlRmW+WWKn6xImEkGUstv3GExC5moFrt0f8eq1Njt9nzSTcYIEvyMOwEmW0XcSXD/imTNNOkOPIIa9YchcvUBnGKOqSe5IuLI9ojsSz9EJfJ47V8xdmc/YNmeWD4iR3391NRdmdMcR3766wOqu+DwMw+D8iWpO+nrnbgfPF8tykPg8f050a5fnatzbOohtXJqrve+1+8VnP9p17foR622hvh57MZqe5m4Ix/hoaPc97m8N2WpP6I99tnsupBm2oaGpMq2azcSLuLHa59R8maWZYu4G+dLFGa6t9HDDhIkboykyaSqx0Cpgmzrdgc/IjYSzdyrc6AqWhm2pNCoWYzcSLh1OSBClpJko8H9+fRddlbmx0mOvLyLPkUCVhaN3EKXoaspOz+PkXAXL0Mgy0YSNkwxNVbhxv8doqvIfTAIk4NVr27x7t4cXxERRQrVsoGsKhqay2CjmTpaqIlxHDx8CzixWKBfEcDebxq3up2AULA1ZlijaOt+4usipuTI/fGMDSZJwvIhy0aBg6ZQLBqois9WeoCpSHuMuBgXivT63XH1fpaQYXD95Yaqp8lPt0HmMR2M4CShaOi9dEnXJXt8VLg518f8fFX4QH3E5i5OUE7NFfnpocLY8e3D96dNUnuEkxNAU4dA2FQCUbB1Jko4QrS6cqFOwNG6siIGJJMHvfOUkQydkr+cSRglru2PKtjFNtAkI44SNvQmVos7YjSgXdBaaYk/TVYXv/XQ1T5vZ7bn89Ue6QGW8e6eT792KIueRx/s4vVjB9SPeu9cly+AXU2cLSRJr0sUTNVRF5uqFFkVL5T/+dFW898DppUpOoginpDRVkTF0NY9BXk3GmIZCZ+ARJym31wf84PV1SraOF0RcX+nxwvkWg0nAybmyiIl2xXOVJYmFqXDy9EKFe5tDVnbG08/M4yvPzeWupY+CZai5061tqCRpxsQL2eo4NCsWcZLRGwR8Zd8J5QmRZRk7HTffh7c6DuWCzvWVXi4a8YL4iJPeB+HMYoUzi092YE3TjBv3e/nnOnZDrpx++lwLPm6Yhppfj83qhM29CavbIxpVi1bF5ObagFbNZnVnTJoJskAGZFlCwbKwLY3NjkuWis9YuEeppKlI6TB1dZrQEdHu94RLfQaOH/PVZ+cp2TphFFOwJDRVoVm1p26W2vT5KaiKRKmg5+4p+/fzo6Dr6oFLzyMwcUNurfdzNx0viPP92TbVJxYvztbtXylp/qNCV2W+dOXRwugPwk7XYW26VrQHHpdP1T8295tjfPx49doO96Yiv/XdMX/wjTMPOU19XJAkKXeRArF3XVvp8fNr23SHPmGcYhmCcG2ZOqWCQtHWBJFoZyxityUIopQwTkn2Ux4lMWQ5vVAmjFPSJKVSMCgVdLwgZn13TBgl/OJOm0sn6lw50+DkfBn9CYebINb6g3teEEPnGoUjex3woa9121TZ7Xm0B8Ld1fEiTs0PKFo67b6HLEkfawz4MY7x60KcpMzUC8xMk/ziQ+rsVtXMEyjSJCUIYxRVIUlhu+NStHWKto43HYDuk5p3ui5FSzjXj5yA9b0xIOEFCVt7Lv/H37wMwL2NgRCUZjCKI96512U8Tfja6U5Eot100N8fB1w5LfpU2x1HHD6m3zs1X3kkYTkME/7F927gTF2jJYl8bcvIhGHCofpgvyaN4oTrK718vfCDOH9tfhiTZvDy9Jz1P/67d2gPRF/u7saQ/9v/6QWaVfFeqsrRs7ZtavkQdzAOKE6t7AxdeWyqT8nWpwmpou46/Pk8uI4VLO2XIpZ/2vBRaq/u0OOHr6/nZ1M/TPjiR6yTPovY3wttS6NsGSR1kYijyBKVgobjS0RxgqKoFGyDmVqBaskkS7OcHLq6M2biRUIsaWjIsug3VIs6naHH6YUKrZrF27c7xEnKyIlY2xmJ9Ju+S4YQUH/7hUW8IMbxI/wwQVZkhpOAL1yeIQhT1nYmbOxNuLc5pGhplAoGt9dEot6+UQTAt19aOpKaA+LeW5op0Rv6qIqEF6YoskKtaBInGZahomsKRUsjmx4FKkVhIGRoCkszJZ4710RTZV55d5vdriAHtPseX352jvPL1Sc2IngUVEX+UGlgTwJDU47Pusf4TOHXSUIPI7Hv77t2BlFypK6olc2H6vxK0aBoaURxyk5X/EwhFEYyK9sjWlWT/jjgZ+9t50YoN1b7XDhRP7LnL7aKD/XxB+OAJE3RVQU/SNA0IZTQNYWrF2Z4/lyT16/vcmdjSL1kipqiqGMYKl95dj6f05mGwtt3OqztjAijFF1V6Y4DNvcmKLLMTM1EURSePdtkcabIfLPIT9/e4u7mkNvrfYIo5dxShe2Owx996yztocuttQGuH+EFCfMNWwhXSiaqKuU1I0DRPpjdxnHK919ZxQ1EPVYq6Cy2itxY67O2MyZJUnY6Li9enGFppsCN1W7u8LvX9VjdHgGiZ8FBGSRwKEFjtmHnaa6qKueOk0+CB9PoD8M2tcf2Ie9uDvO/2Rv5XD3X/KX2h4+K127scmd9AIhewe9/7fSvRfz0WUOSpNzZGAB8qF71MQ7wnZeX+f/86TW2Og5v3Wrz0qVPjkB+jF8NSgVdzNqm/b39efR8s8DVCzNoijAB2zff8oIOt9b6bOxO0DWVom1wcr7E+eUq9bLJZntCmonHKpgarhvx2186xbX7Xe5tDgmihN7IZ6/nMXJD0kwIGf78tQ2unKrSqhVx/JhvPD/P/SSlM/AoFTRGbkA8nVn87tdEMtO+sUvR1tFUmc29MTdWeiiyjGVo+GHC3c1Rnky8ujvG0lUcP8bUFdIky+eshyHEhsJdvjPwadUEMblZNfP0KU2VeeZMg+qHMFDqjXzubog+8O31AYosEsjbfY+LJx9v5PSo2uLXDceLhChuukenWXakz3yMzz4erP+6I5/f/9rp/PvLM0WWZw/OxMtzpQf4XDKXT4rz7cTzRPtvej1pKrkQC6BesR46O/zBob91GPMtG02V89SKkqVzbbUHmbiXvTBClmUWWiV2Bx4/v76LPO09dgYesgTxtFe4P2/evxcP37P76XCHhRybe27+PO9v9XnlXcEzBPgf//17bHdcsgxurQ7oDTyeOdPMH2sw9tmbPub67pgzi9U8PblWNri+GqMqcp40ehglW8/rVSSOGDunacaNlR5hJN6P3tAnjBNOzYvad7vr8PWpOeM+HuTdnXpCjlHR1uhM5yri648+19ruOGzsCa5ie+DxzOnGMdfpGJRs/ameb3/hmWXgjSP/9rQJOAAe8PNjMvEe+XOfZoy9CEWSUTRy7svTiI8jkfmpFXGMx2P+7t/9uwRBgCRJ1Ot1/vE//sdIksTf//t/n+9+97v85m/+Jv/8n/9z3nnnHTzP48/+7M8A+N3f/V3+5E/+5BN+BZ9uzDUK7PWFy/aphfL7OsuHYcwbt9p4fsyFkzXm6jZfvDzLdtdBVSRGTkTFDplrFVFkUUT6oXDbj5OUtOuw2ZlQMFUUSaJVs1AVmfW9MeWCjjx16vq9r53G1FXubAxwvZitjjONODZzsiBAZ+ALB2zgxGwZWZJJU0FW8UKRwLHvSlyyNL54ZY5373ZE3GTJ4P6WSCHIJDFU/v7P15FlCT9MiKMU09aoVgwmk5CdrkuzamIaCguNArIiiVj5gk4Qxtxc7ZOkGUszRSZTQmuapdxbH7HdmTBTK1CvCMe0+aZQO2+2J9xZH04JdTJhmKCoMmeXKkzciFJBDJQnriB7rmyPaFZMFFnGDxLiRDisLc+W+MYLC2y3HVo1i3OHYiDDSPydJM1YaBY+MDng/eB48REHnskhJfIxPhomnrhWvDAmCBOCIME2VVRZojf0WWwVkSURTxZGSf6eu37Ee/e77PZc6lNBRppkFAoa2x0XGZf2wEdVJTRFwTJF7GDZ1plv2tQrFvWKiarIvHZ9h5srwqVyfUoqna0XGUwCHD8iTlKKlka1qKNrCuWCaPhUiwYr20PhTFERLsJlW8cPxfMsWAq6qlIpGky8kHfv9IRbcJIiyRKVgs5M3cbSFcolDcePOLNYQVcV7m0OGTshxYLGaBLw82t7xEmSEyDPLgoH/2rJeKjRvzS9H7b2JlNlu3DnP3x4mbgRNMQQ6NxyVfwtW/tUuX8f49ML54G1b+JGzNQEYVc4yRuPJcSkacZme4IfxjQq1pFrzvGjI2vsfpPi2y8u8s7dLs2azfJsiTsbA3RVJoiSXFgIoCkyYzdkrlGg+phh2gvnW4zdkN4o4JnTdWplE0tXuH6/y17fpVIwhBtvo5Dv4SfnS8RJRqVoUCmazDVs5hoF4jjJBRwgnB3COEV/gCTleILU7fgRqiwjZUengkmSstGesNfzcDzhUjGcBHihSLCIooQwSlAVmc7AE02QLGPghJQsjSg8KO7TJGW+UaQ/9qmWdLbaDht7Y84ulZltFFjdHqFrCivbQ5IkI0lS4jhlMA4wdJXytFH+pefnWdkcEccJX7g8h2kdvJ/t/oFaP4pT3rnTRUJCUWSiOCFNMramTskvXWxhmzqXT9VpDzwWZ4Sr4L1NMQzeF6t1Bx/+kBXFonF+f2uIIkucXaoSROVcwJFlGfe3RkgSD11rhzHxQr7/6hp+kPDFK7NPTE6LkvRITfbgffF5x52NPqvbI9I0Q9dlWnWLkRMydkI0VaRlOVlKkmZIgCJDlqb0R0L4KEkQZ+TN00bVpGRrRFGKYSgkaYaqikjzME7whzHdoU/REnG5pqGiqgnNisnl07O8e7dDmmZcPlVDkiTOL1XZ7goXl9lGgd2ey8QLqRSMDyVGm3jRkUH/TM3KG4S/SmKI64e8cVOIvZ4906D1hFHIv04cqZMzcY88zU2uzzr2B38ASZLRG3q/MhHHg+gPPa7d67DXc4mSjCwT7qayIkOWUbE1kMU5WZKFc/z+2eCw7Yptqiy2CpycL3N+qUZ/7LO+O6ZoKgzGPm4Q4wcxrhex23O4fLpOu+8ydkMUWWJppvRYovM+nAfu+YkbEVVEikm751Is6JxdrH5oYrCmClfe/X1FV0XKSHHaA5t40edaxJGkGZt7Y4IoYaZmH5OGniKoipynRFiGOOfv4+tXF3j7dofuKKBZtRg6AYNJKOoAVG5v9HH9mJmazam5MsXpINDUFSZ+iONG6LqCqav0xwG6Kh9JdIvTjIKlst1xsUyV7FBajiwJU4ORG1KwVGxTZacn6oJG2eS3vnSCjb0JizNFvvCYlNeJF+YCjn188fIcvZFHo2odDDGZnr+n8IIkF3CIxzn0PT/OSZ4Ae30vd5SM4pT37vdZaAp3/8VW8bEudOdPVNnuOLnQ7LArpR+IpB+AxZliPuicbxQ4MV9mtzt1/fsQdcxme8Kt1T6WqfLShdaHEsd9UhDuhy6qKrM0U3wiJ73u0D9yXu0O/V/hM3z6oGsKl0/VeftOB9vUsE2VoRMynIQsz5bZ6QoSVRilBEHCbnfCxA15++4ehq5yYraEH8RM3IDBKCArQcHUMHWFYkEka8w3CzhexEZ7zK3VPrqmMFsTqa+6JqNIMoszBU4tVjENlThOCKIU0xAx77apkSQhtbJBe+ARRgmBKlPMMjpDn1bFol5O8oS8sRvyg9fXmWvYnF2somsKUZxyb3PA6s6I4SRgp+MgSXBqrsT8jEgRStKMy6frbLcdgihhaUb05aIkpVW18nqjO/Colgw0RSbJMlpV60MRdF0/YqvjoEwJbo9L1f2oOLz/tqp23mdJ04ytziR3pjxODDvGMR4PLzi6t+/XBB+0DymKzOXTdWplQyTvxhnbvQlqx0HXxD6703VzoZnnR/zizh5z9QJzdZt373UZuyGnFyrM1u18rQBBdOyNfbI048xShUrBIEpSZms2qiL6LM+cbtAdeHSGHvWyiR/EbHccbEMk299aG4g5jqFxcq5EECWEUzOaZtVkrilSmqslgzNT0cruwGNzb8x218UyFLwgxtVj/DAmClORDhwnlBSZgqWz1Z6wGY35na+cYq5Z4N7mUBBXyyb/8a/u0x8HnF4o5QQ+ED3LKE64dr9LHKc0KjZJltIZejxzps7p+Qq9kY+mytiHki2SJGU0CY+cuRQJ7m4NadVsfvtLJ7i+2scLYs4tVT4UMaw/8ukMvQ+s3x7E4foxjkUP0v4ERByHe7ZJktEb+cfnsY+Au5vD6RlfOzYG/IiwDJXf+uIJ/t1f3uN/+/G9YxHHZxDLsyV6I59W1ebScpWhG1KwdM4vV3H9mNvrA9oDl53OhHPLNc4sVLiz0adSNGhWTNpDj8E4YLfrMnFD4iQjjtMpqTijO/T5g6+fpj/26Y18SomO40cgQbp/RldErTuYRIzcIRvtMcNJgExGdxRwar5CwdJwvIirF2ZYnCnRqAhxpaaIpM00y/jZu9uCWzBNFdzre5QKoufnToXuqipRL+nUKxbbXZf72yMaFZPFmRLPnZ0avx7qFyRJyk/f2UJVZBaaBRaaBfqTgGfPfjgBB5DzeECYSciSEHFkWSaE7tNkw2b101fnP6o3e4zPF/wwPlL/9UY+g3FAeyCS75450+QXtzvcXutzZqHMixeP7hemptAb+SRpSq24L4rykSVYapW5erHFnbU+1bLJV59bOPK7nhfy/dfWcbyYF843uXTI7KBStPjSlVm+//M1CqbGc2caXFvrE4QJuirTHwcokkyUpJi6wk7XyQVIQZjgBRETL0KWJZqJlb8mUxfmiP2xn/dXJ5595Bw+GPu0Bx5ZBmma5snAABu7Y2T5oFew2Z7kIg6Ajb0xe32POMlolA1azxz0LGxTxfFE30FXZU4/wEmab4p0YS+IhfD8kIgjStJcwAFi/nS4hp54kZip9F1aNTtf9/bxYTh+rapFu+/SnXLLyoWPPtd61Fzz8Os6xucTw0lAu++haTJLreInIq7/ZXDj/t5D/7bXc3LjracVb9/r80ff+aSfxYdDydaQJGFuWDBVJOnpupY+Tnz6J0iPwfz8PP/qX/2rR37vH/7Df5j/95/8yZ8cCzY+AjbbE8IowdRVdrou9bKVD4cfxE/e2WZzqrzc6Tl85+VlTi6UaVRNXru+i6rI3I9HZEC9YuYHB1WRycjY6jhEccrYCXnhQovOwJ+S1yT6o4BGxaReMdFVma9fXaRgaXzvFeG23Rv6zFQtbEvFnboHzjcLVAo63nRwfGq+TL1i8uNfbJJMyYWLhQL1qaOPrsq8dHEGCYTbN3BrtU+WpTh+zGzN4ObqAFWVkWUZy1RRJZk0A00WytNnzjQoFw3OLVe5uzEgilI29iZUSwbtvocXxFSKBq4fs7YzZn1vQqWgc+1+jytn6szWCmRZxl7fI4pTdE2iN/KZmcbUl4viee4XnlGccmO1L4g6YcJ2x2FppkTB0o40t0/NV3Ll7mHcXh/kxMqRE3L1fOuJXZEfRMkWzg/7jfdK4bhZ+cuiWhTXjW1qBGGCbSrESUqWSczUbcI4JU5SbEPD0BUqRYM0zbi52icME8aOcMdo1ewpcTdjNAnpjn1cLxYugIbKybkycZJSKRnUK1beKL2+0iWOM7wgZuCE9EYepqFiGhpjJxKOVIpw/C5aGpWiSRQL8ZCiyGQp9EcBzYrFXL3AYBIwmZIUVVWmYGkULBXHjaiVDe5tDUnTDEURhGPb0OiNfYKeGP63qhZuENMdeHnM9o/e3ABJDLo39iZ85dl5LFOlUbaOEMgP48H7wfUjukMvJxyUiweHl3rZPBZvHONDoVzQj7iRVYrCoWXfcb0/ClAV6ZGD/I29cZ6+JBxvG/meW7T1Iy7W1aLByAmRJJnnz7VY2xlzc7WPoSns9lxOLVZQJImT82UkCVa2Rpi6ymAc0B16j/z7mx2HgqlTMHVGboTjRbx2fScn5NzeGFApCcHhyaUKuiqz13Pze+fKmXqeOgVQKxm5U+f+/v0giqaCH8b5niU9sAfd3x4JB4ooYbvrcGK2DGQkSYYsS4RxmhPSFhpF2kOX3jggy2AwCfHCg2aVrimUCiLJ6PZGHz9MCKOUW2sDlmdLnJ3Gfu4TRxRFRtMUmlULL4gYuxEn50r4QcIXLtu0qhaGrmAcImIttIrcXh+QZRmdocdMzeLO+oChE7LQKvDKu9tUCwamoTJ2In7va6ewTY2Tcwe1VdnWp1GBooEz/xHceyTg2v0u7rQGipOMr19dxNAF8bUz8IgSIQp48Fo7jH/7wztstkWa12Z7zB//9WeoFD+4Oa2rok7ar8GOB5gH2O5MeOWdnfzrgqUSxynXV3rIskSGcOLXFJk4FsOLFPCiFFsGWYJDqcOEUUqrYtKoWqzvTkgSMHQZSQVZhpEjHKs6A5eN3RhNU5AmIaahULJ0Xn1vm5JtoMhiaHr1fAtl6qALwgVnfffQ+qXKT7wvlgs60qG0oEbVesgx61eBH76xSW9KHGz3PP7Lb5/51BEmKwUjf46S9OGTCY7x68Vco8Bwmk6jqwoztV/fkO7n17bpOyFJKoarsiyTxKJelhVJ7HmpMAggE8lw+65U+0uFIgMZzNRtzi/XmK0X2Ok5mIZKexgQxTGjSUiSpqQZZJIQjzp+RNES12YQJlw6VX/f5/rgPV8u6rx5c49bayLlqzcOOLNYeWJizmGcmC3lTl1ZllEqTPcsiV9q8PBZwNrOKHcZG4wDnj3bzFOPjvHpRrVoHHGqOlwvvXZ9Dz8ShIqJF9Ib+siyTIaocTemCa39UcBzZxvMIPbXtd0xw7FYrwZdl/7YB6Q8kW4fQRiz0/XIANePKZgH10y5oBPGKTOGeMwwTPOEriTN+KNvnuXlx4g39lEp6lSKBsOJOAvMNWwunqoBNZI04927HYJpQXP4/G2b6hFnvuqh96RgaUfOQydmi6zviTpVVSTSqeAVxN98MCFgH/tmJ4/CzdV+Lhhb35tgG2ouhGlUoyNnnSfByA2PpFN4QcxvvLz8oR7j140oTvI+I4jB8JM4Is/W7SOfz0eNCv8swzY1Lp+qM3ZCdnsucZwKEVGWYpkaIyckihOiJGXih7QHPooClq7g+hHVokkYZWiaTJKkKIpEtWiw1CrnKZtRlPLqezs5GaAzcLFMDUMTSZSNqsXz55qcXazgTHvT+8L+qxdmGI4D/uKNDUxdxTRULENFliRmmjZ+ECFJEuWCQRglvPLuNrqqsNt1ieKU58+1uLs5YDgOGI4D3r3fRUIkVfTGPl+9unDkLPBB4ob5VpH+OKBUED3Ex923j0KSZtxY7ednatePeebMx5uW8bj9d7M9EalFiDXa0JRfyunyGMf4LMM2NVRVzu/VclF/4n3I1NUj/f29XoEfvrlJGCYieXeuCJlwoB45IUmS0u57vHFjFy8Qe/1We8JCq5ifeZBAViSa0/Vprl54SCxeLurM7AvkdIW17THdkU+5oLHTdTANhWBqKCNLMFOz8/Sjs0tVwiihPJ2NnF+u5mej4cinOwqAjLETosjCdd02VeZbBe5uDmlO5x2r20OSNEPXDX7wxgZffXYeU1eJ4pT/5Qe38zVobXfEXN1GVUTf1NRk7m+OSJOMwSQky8RaPFuzGTliZrNPAJupH6zRqiLTrFn5Hu8FEevTWnRzb8J793sPEQCfBBMv4vbGYNpDD8iy7IlrrXJRz3sqD/Zmf52Ybdh571tVZVqfQkLv04B373YBeOZM4yP1C44h8AdfP82/+8t7vH5jl52u82tNVjrGrx4rW0PIxMwNWeJbLy7nROL+qM9WeyLOGEnKxI84t1Tj6rkWr/hiDhF1HchEYntv5DNbt9A0MStCEuuZqsp884VFJl5EZ+AxcAJhEiNJZFlKmmUokjBQihMJSRJGaCChyNL0TNAkA+YbRdp9Dz9IuHz6oJ+4sjmiUbHQNRUviNFVheXZEqaucHttQH8cYGgqM7UCcZLihwnruyNGbsR2x6Hd99AVhYunalSLB/31e1siPURXFa7d73F+qcryTInhJMT1ow9lYlopGvmctmBqeRpAfxxgGWK/7Y8CNFX+1M29SgX9KFfnU/b8jvGrh22qIrnHEX28Wsng9no/70u9c6fDVntCwdLY7Xv87J1tvvzcfP7797eGeFMRyO7AIUqy/P6J4gRDU7lyZj/x56h5y//64/t5ktv67oh6xcpN4TpDj1fe28EyNNIMrq/2sU0Va1rDlVWd1W0xhwzCo+d3y1DY7k7wpzV8OjWx268hwzjJz+YTN+Lc0lHn9qETMpq+H5oiU7TU/Dxw/kSNle1xXuceNkNGAj9M6U1Tgrwgpmhp+WuK4pR6xaI85cTVKw/PTR9niqerMpah5u/hbMPGDw+MbXrDgJVtkS6y1XYwNOXImejWWj+f/4+ckBfOtx5bQ+32XBxPpBZ1hz71iv/YJLwPQrlwkC4iy0cTAY/x+YQfxtxaO1hj4jh96tKql2cerpmfdgEHCEOdpw37ojlZEsnybvD5FaMeT3g/p9jpOvRHAbapsjxbemhzd/2jakrPj/H8mM7AYzjxxWFKV/jClbl8qBvHMb+43ePW2gBDlUmzlIkXMzslu/THwgF4H3GSCpWtpuB4IRmw2ZkQxSmrOxnNikWjbHH5TIPLJw+KkygWStyJGyErQqn/3/zmBd6+3aFgafz1b57FtjUsQyOKE+plk97YZ3mmiOvHzDVsKgUjj5sPooS1nRGKKlgutZLB5VM1OgOfsq1TLlqo2pgwSrANGc8PGYzF4MwPoF42qJdMSrbOdtvJSSwTL8yLNy+IuXK6gamrbHUEUdQPhKPOytYICUk4KU8b15dPNdjsOJxZKHPpVO0hAmwQJex2Hdb3xiiSzMJMgeXZ0kPEojdv7rHTddE1kRBimRon5kpHPt84ToniBOUjNDw39saMnYhKUTR6TV05dhr7GFArm1w8WWO+VSCKEpI04/Zan9sbfWRE0X1yrsSlUzVm60VaVZFqE8Uphi7u6UbFpFExp6kuKoOxLwRUJjhuhJNG3FztkWWw05nwN3/3MrfW+gwnATdX+sJ5CjBUBUmWqBZNmhWTOIlR+xJxljFXt9nru2x3J4ydmIKlcnKuJJz9kpTu0KNka5RsDV1TWJ4p0R16TLyIIIp59foOC80SX7wyy9gNuXquyWyjwC9u7XF7vY8fJBi6QtFSWWiVclJFZ+CKGNckQ1ZkJATBbH8dS5Isd+h/P9imxuXTDdoDh5srfbpDn7NLlfwwFMUJqztjhuOAlIxq0eDEXBnjY3bxO8ZnA0Vb58qpOkMnJAwT3ry5R2cgRBP7DTPXj6mVMtb3xrheTK1sMNcoHHHH2N9z94n1hqZw5XRDuOhP19jd3kHqw9AJuLc1QJEkbEsjiVMUTZA9ZOnBvT2mcUjXN5wEbHccVjaHbHYdwmkqzmvXd9jqOCIhAzEgK9k6pxfK+Rr/W186yWZ7Qq0k9lMQQ9DhJKRaNri2IoYwX3tOEL3Gbshme4IsSZyYLZFJMi9caLHVEekU+w50+9gXAeiawlKrSLNq8tKlWXpDnyjOSJZEY3ZptsT5E1WGNwKaFYORE1G0tSMkRlmWWJ4p8e79LqNJSJqJtArLUHMhg6kr+GHCucUqN9cHVAo6pxcr7PYcVEWZRjyrvHVrD9vSODFbZKvtUC8bvHxpluXZEt95aYmtjkOjYtGsWux0HcIowQ9ikkQ4jGqpcCYHODlf4srpBnGSsrYj6owvXplhOBECuf216Nr9LqvbYyxTOKpKssSd9QF7fSEW+b2vnkSZDmaDKKFSNFCna6NpKCiyxJXTddp9jzhND66LB661w+gfckmOk4zOIHgiEYckSVw+VWev7wrSz6cwCeGTwv57mmZCWNkf+/SGPtudCSVbkCalLMMyVZIkJYzFYZUsxdQNTs6a3N8ZkkzZ2ZIk4iUXZ0pAiusnxLFCvWJiTms621AYuSG+H7M0WySKM6IoFW6KTkTJFmtTGKXESYamimujN/J5716XsRPQmrpOun6Uizj298c4Tplt2A81/mxT48rpBoNJgG2oR8gPYZzy+rUdBpOQE3Olj5VUtd+QFX8nwfHjT0zEsdcTDjfW9Ky1L5YWiYMS7lTg/Um51QwnAT+/tkuSiiHb/FMUrx6GMa9e22XsRkfqtl8FvnhljrJt4AQRZxbK2Oavvjm9f05f2ZkwX7PRJOgMRQ1gmxqlgsb67mTqDiehKmLt3Rduq6oEUUYGqLKInb29NmCv606HpSK1y/VFAkfJVtE1ldPzZSolg1bVPjKIcfyjzbI4SVnfHeMHCTN1EQ27X1MPD93zb91s578zcgLevi1ScpZnHu49gBBobOxNmLgR67sjkhRaNZMvXpmhWjbwg4Szy1WyNMvF4Z93EYd7KO0gy0SSgGWouH7Ext6ELMtYni39Uqmbx/jVoGipbLbHrO9OWJ4tcnqhzH/+2QqyJNHueSiylJMaVUUiIUNGQlMk6mWTOBYJXP4hdacsS9RKxnTol1ErmvhRjKbIVAsGf/HGOl6QEMUJBUsIvHVNYaZu0Rv5uEHEyxdnOTFXnqZ4aaRZhmmoZBlUCjobe+LeF2mVBpttkWqx2CpwfaVPZ+Az27D5wuUZ/ufv30KVJf7Gd87lz1GRJcoFnVdXd9BVmYuH+nyqInPljHC3VlWZWsng3uaQMEpo1az8PGRoCs+drfG//Pldxm7IixdbbHccbtzvY1saSHB7vU8UpzxzusHSE5C/4weS5EZOgKkp+Vp1uAZ6Ugyn4vL8MSePNpr4dSBNU35+bZfeKGC+afPChUeTLYMwecAVPeT+1hA/EJ/B49xGK0WD3/7ySVZ3xpRt7ejg+xg5/DChM/ToDFxkWaJRNhg6IdWiieNEqKqMHyZEcTb9HCSyTCJLJQqWhqGlea1+YbnKFy/PUrANWtM+8NDx0VWZwTggCBNMXeaFizO8c6tDJmWcX6wKgYau8rtfPcWbN/amJA6H//Dje/zmF0/wnZeW2Bt4fPX5eUbjgDTLqJdN1nbGFExfnFt3J6RpxolZ0ftb2xmjKQrruyMqRYNqyaBgaFRLOpqmYpsaMzWbdt/lzVt7yJLEixdnjvSOJ27IxqFewfPnmgwnPsNxyFzT4ns/W8XzY66eb3L5dON9e31RnOTrJxzMN8IoYXVnRJJmzDcKvxSp6cH9d6szIYpSNvcmTPyQOM4oFXTcID4WcRzjGI+BpspcOV2nN/RzArzzQPKW+8A55NZan7sbQ3RNJAWPHUH2rJUNvvLcLH/x2iYZ8PLFGW5vDNjcm1C0dFR5mvIz9PO6OE7EmXhfxCEBl07Vef36rnAgTlK+eGVOkMSmODFbIssy1nZGaIrMaJqkniQZUSzEGmkq1iHTUFiYKVIpGaRJhutF+GHMjdUeBUsjy+Dly7MoskSjarHYKtCoCJOus0tVvv3SMrIsc3KuzN5Jj43dCY2qyavv7cJUeK/I5P1hTZOFw7oXkqail3x+qUph6nTuBQlR0hWp6tP0oBcvtPI16uqFJrfXh5QsnW++uMjEDfOehaUr7E3Jcbs9h+srPfwgQVVlOgNfGNrFKbN1m9sbA/7yzQ1MXeO//u5Z5hoHfQY/iFnbHZNmGZauHHELdx8gAj74mZdsjS9dmUXXVc4sVCjZOkmS0qpZ72tMF8Ypr763zdiJOLVQ4vKpj6//9IXLc5QLBhNP9AqO1/uPhvfuHYg4jvHRsdAq8tKlGd64scd/+KsV/oe/9swn/ZSO8THicO2ZphlBlKCpMv2Rzw9eX2dzb4IkS2iqzM/e3eXn13Z54UKLs0sV3rnbZbfrECUpuqIy9oQ44+VLM8SJ4MNkacpPfrFJnIgav14y6A09iqaGrkoEUYZlKJxbrpImMPJC/CARKRuqQq2kMxj7vHZ9l9PzFXRVIU4zttoT6hWT2brN/a0hP3h9DZD48rMzbO65NCoGJ2ZLtGomkiRh76nMT9N4VUU42G93HLa7Lr2hT5JkdEcuE7dAZyj6JrWyQbuv0x/v85RSnP3U3kxwcx7XE8t5Upaa9yorRYOLJ2u5gWWWiT3XMBSC4KBnsG/cmiQpa9Meaa1s4HgRUZwyU7d/7SaRlqFy5XQ9F5wcm1R+ehHFKWs7o490rcRxys+ns7Wl2eKRlAZZlvn61QV++vYWiiLx3Jkmr9/cY7vjYOgKUZSw03HwghjDUNjpTY489sgJuLXWI80yFhsFWjWLTt9DIqNoa3hBhOfHzNRtTF1hfXfMxI2olHQ2dse8c6dDkqY0Kiabe2MGEyHUdafz8X2EScoffvEEWx0xXw+jlIKhMfEimlWL+abNO3e6eEHCCxeaLLaKDKcJxQcCjoP3cnGmiB/EmIZ6pHYHKFoae32XJE2Zbxb49kuLvHuvi6GrfPnKHCs7Q9681Wa+UeBrzy3wozc32O15nFooMd+0CaNECDbKBoNJkJvkLM+WHjrLvHVrj+2Om3MGHnwu+5AkiaWZIu/d76LIEqcXKkiSlHNAbq8Pjvx8f3Q07fbw3CaOU6IkxZAfzVuauBHtvosfJhQsTSSDfERu91yjgK4p08cwjo2kPgZsdSYMxyINe3m2dCQx+mlAECaMnJDhJMiTgJ827JtEHcZnIYkjPtRXeVpgGxqmoZBM+a5x/PS9ho8Lx6vr5xCDcZA7g4/dUJAbHxhs1spm7jqqKBKKDHc2hoRhzE/f3cEyVapFgx+/tcniTIEbKyE3Vgf0RgFjN2LkhMw3CwRhwurOhDOLFZZnS1SmCQMgFMGKLBqbiiIz8XwaicHmniCzKbJMuWhw9XzryHMrmJpwAJi+ljQTw63f/NKJnEgK5IMsgGpmULB0LEMc1s4vV3NC2Z1pKsV79zq0ByIWrjMMWJotst1x8fyYOM4wNBU3iNFUA8eLGToiJWTkhtiWQvdQEbU0WxTE3Onher8Ab9Usrp5v8ZO3t8hCBEldU/LXUbQ1Jm6EoshcPd/k/GOGn0mScnO9TzR1WLMtNXdf28ed9T7v3esSxQl7A49Tc2VOL1TIpkO47tSlQAwDPzwpfa/nstU+2NgqBeNYwPExolI0jgwVh07Iu/e6DJ2QOEpFMyNMqRSFu4Imyfn1Y+oqC80i55arlAoG3YGIEqyXDfYGPlGS4ngJYRyjayrbXZd/9m/f5dsvL7GyPWLshThBhKrIGLpQVxcslVbVZrfnoqgyCnB9pcfQDXDdmCgRToK3N4bMN4t4oSAuS5JwBa6XTVRVDFl6K112uy7DScho0uO5C01+96unaFQs3r7dxvFEukyWCUelztCjWbMpWto0ySfb/z+CSBwWirZwqAKwTDUnsH4QipbGWzcdOgNxP3SHHpWiwWzd5t7mkN7I597mCMg4NV8hjNLjpvIxHouirVO0df71n9/CCxKCMGar4/C15+ZRFJlqyWC767A7dXMZuyGGplAvmzmxR1GkI660IBpwi4dSGSqHXFV2ug5JIpy5B07I82ebIEGtZCJJsNt3IROE71rpYE2J4oTb6wPSNOPu9pCttoj9XNkZszxbpNP3CKKEVtUmipPpQPFgjZ+t28wecpLoDDw29iYkScJ/+qtVVFXC1FX+tx/f5//6f6hwa62fN2qCKOHK6Qa1spnvy40HSEG1soHXFntouWBwdqmKoasULRH73Bn6nJwTh9qtzoSCqZEhiaGZBPYDotG7m0MMVcGYNpcqRYMoSSlOm7iHX9vJQ7VEuaDz3r0uSZLx6ns7pFnG2A25fr/LSxdn6A49dE3hxYszLM2WWJotcf1+j7EbCvJbmlEwNQqWEDpudxzSNKM79PL1xg/ifE9GgmfPNPLm8sbumDduiDjHvRWXVtVCUWR+cbtNrWTQ7rtYhsJvfvFkfg02q1Yu1FhoidpAUxUWWkVUVWZla/TYa20fpxcq+SCtVNBZ+BCR9iK6+ukhhP+6sNAs8LYq0+l7OH7EbtchTlNGbkR/HGLqMvI0HlK4DUCSgRQLwrJkS9RLFr2xD5JEmmVoiixEml6M5ycgRSBLVOwMRZbxwpQoiSjZGl4gXCnLBQNFkfNrA0QaxL6Dlx/E3NkYIAFjNyLDZbFVPBI/fm9zmJ8Txm7I8+dbD9WSInXr4SHJmzd2ubspnGS6Q49yQf9Q7rrvh6VWkZWp40+lqH9iKRcjJ8yfx9gNkSQ4eTitqGzySdMbf/TmRv4Z/vCNDf7Gd849ce30SeOV93bys2x36FErGbR+hYIx4SD/60F/7OevrVzQRdw3ErWyyfJsid7IZ+LEuH5MnArhQ5SAKos6QESDAxJIGSDJRHFGb+wz8WMGTsBM1UaWJToDTzhcKwrlgs7iNNXx7GKFu1vDXEz54CBpdXuU71ljL8QyBEGzaGlHRIGLMwXaAxd3agaha8KxW1XkIzXNPna6Ltsdh7XdMXc3BtRKBt2hl4vCDuPYTU6gXjbzdE1NlXPi0M3Vfm4O4fh9XrzQeuqGAJ91vPLuDrfWBoD4vO6sD3Ix3dgTqZqSLCGLVhcqYo/WVeGOjyEGlwuHekDLs6UjrsSDSYA23Zv7kyB3Te4OPcbTnlOSZtxdHzLXLCIh8cbNXb763FzumqUqBwk/cZKy13ORJImxG3JrrZ/vs+/d6+J4wql/pzvmF3e66KpCksL//P2b/D/+h68AgnzyyrvbguwYpfz4rU3+4Btn8tdgaKJeBbi7McjXmpEb8uyZRr523Frrc+mkcPRsD1xurw2QJImRG7LXd5mfOs/+5WiTv/6tc3mf4HFQFZlyUc/PY4utIkma5Weo6kdwqWvVLCxDyR3+Fh/h7PXrwtt3OvkQuDv0KNoa55Ye3tssUwxL9h0O/ejA0XDshpiG+tiE5kbFOu4Hvg+Gk4CfvLWZ7/FpmqEqMqoik6YJzbrFZnsyTeCdpmqlGUmaIMui37qfbmUaCmM3Ej2yQ7VurWLhhwmOH5FlYKLw1s02BUs4yN7dGvLsuSaVokGtZBJEKXt9lyjJGIx94jTjb/72xVz4FMUJv7jdIYxSSrbOXs/F8eOp2Dxlt++y0LCJYpWxGxLGKYNxQKMskgIrRR1ZkrhwokaapvzgjQ3CqfDsL17f4L/67vn8dd483CsIE2xTpWCK88kP39gkTTIURWY4CbFMjXPv4+xnaAoFS8v3x7z3vzHIk8EnbsTV8638/PNhcXj/TTOxNiqyTGfostvzqJfNI8KwYxzjGI+Gqav5vg+i93l4HzpsBrHbc3n1vZ3pfzsUbI2iKQQKZxYrbLadvN79s1fXMQ1RG3cGIiH51EKFs4tVtrvO9G8JU5hsqvmqlU0G44CNPVEv3d0coqgyX7pykECWZkIIUi0Jl25DU4jjFE2VMaeJtN2Rn5+joihFV1Pub42IkwwviKYGc4Xc2O6FCy2WZoq5q62hK3zzheX8bL7bEz1dVZFw/RRVkRg6IWSi1+h6IZIs4wXid4PBgYhtebbEiWliyW7P5fZ6H03VKRV1zi1XEdYv+0muUV4/rWwPOb9cO9Kz2J87+mHExI1IpiTioePTHYq9aG13xPdfFQRd8Pif/tMN/u//7Rfyx7g1NewCGGSiZ7W/5z2KvHj4M+8ORT3yjRcWkWXpSD/6/fDatZ28B9odelSLxsdqYPGrNJT4PCBJM967fyzi+Ljwh18/zRs39vizn63yN3/n4lPT4zvGB6NeMfN5omkoOXH2B29skKSZmMWHMWmS4IUZlq7yyjs7tHseWx2HMM4YOxFREmBMk/3Wd8c8d65FwVS5uzWiO/AoFwzqZYOtjkujarE38PBCMW86t1ihUjRYmi3w7t0u98ajKZE6Y2VrTL1sEkYJ797v4AaiBzhbt1ndHhGEMT95e4swShk5ot+xPFukWbEYOSFjN+TZsw0sQyVNhfP/2aUK3aFPe+AzmfKYumMfP0qOnB0cL+bcUp2fXxf7RdHWqFdEz1BV5MfOBg73X8duiCJLeTr5g9yM6pSsfGd6pt4XewCs7ozpDMQedXOtR70szLVGbshzn0Barm1qx0YuTwFWtofTNFk+9LXyxq29I7O1atHIZ2tpmrG6PWJ2Sj6+szngzsZA3C+O4NMMnYA0EzP6IDx6Zr2+0s97WCu7E2pFcT1FcUoQJ/RHgss2ckO2Og4lW5yJx27IjdVeLi7Y6brcWO1xdtp3StIM21Rzztzp+TJzjUKeGtUdesw2Cswi7q/37vYYT8/ub9zc49LJWl4rlgsabnBg3HBiOi8pmFrOiziMiSfMLmVFYTgJadZsfutLB7XghRN1LpwQ/cU3b+6xNU21u7sxpFLUczMT21Dpj30k9s1e+rx4cSY/y9zZ6OfpYoc5A49Ckmbc2xqiq0r+t54718x7nn6YcGeaWCdJcGLuYQ5n7xDH70Ej6MOI4iQ3F/TD5IjZzEfBsTjs40N36OVp22M3nPb5ny5ehSJLtAdefj8+aAb3NKBVfpgj+7QLOIAjYrenBctzRW6tD9BUBUWGS7/GufynDcenuM8h/PCos8mDRRqIuF9DE85+laKeDyf86WFw4kXESYosS/zWF08wdiPevrOHpsq4gXDNiaKE+YZNtWxy9UITCQnXj1hoFdBVhUbF5P7OCNvSRAGRZVNXLCjaQiWuHyKE+WHMT9/eZm13RL1soqgyjUOuVkGY0O67/Pz6Lmma8cL5FjONAq+8s0V/FNCompxfrglnyvaE9sDj1HyZzsDl2r0e9zaHpAjS3F7fY+SISLFmVeflSzM4nihKayVDOKNlGUGYICHxn19do1GyObtU4d17bX74xgZzdZuvX12kWtKPFDWnFyqYusKt9QEn58qosnBDXd+b0CybeEGEpil54xRE4b22O2bshJQLOoauUDA0ur6Hosgo8sMF2mha4MZJljsOOF7EXt/lzGJFfA6aQqNsfiRSx4PX0YNfH+OjI45TXnl3m+5QOFmeXSxzf2OAF8R4XkSawU53wlzDZmVrhOvHjJwAVZUZTgLqZZP5pmhmy8DrN3ZJ0owTC2XSLKXdF9GqSSqRZimuHzF2Q/7i9U3GrkjoKdk6pWaBcwtVikWNIEjojX2CKEFRJIqmxmDiY6oKnpygZCI2tWBqxHFKf+Sx23MxDZWCqbHQEjHkez2Xdt/DDRIqBYMwSkijhHfvdPjRW5sEYUy1aGCZGn4QUbY1DE3l9HwFVZU5uxTxw9c3OL9UYeKJZtAXLrX41kuLRHFKkmTUK2bumjnxojzCcXm29EjH3v3D4MHXAbN1EV8YxwdD9P30oGMIgur6rmhynZwvP5bM8XlEHKd5o8PQVaqyxHyzQKtmY5sae4dSNEDsq/PNwpE990Ey9E7XoT3wpu0BiYyMhWZBELGbRaJYHL5VRWKmYTPfKOR745XTDRxPkLgPN/DCKGU4CegNfeE2q4u0CUOTSdMMfeo+O9ewqZV04iTDD2JWtkdEScpiq0i9bLK+O+I//2yN3tDHDyKCJGW74zDftDF1FT9MGHsxIyekM/CQJJhvFKbpEI3cqeLBw/9MzWZ76gqyNFNCVWROzZcp2Ro7XQfLVJEkib2ey4/e2kBCwjJUMqB1KP1k/zMZOSHdoUcwdZywTSF2Mw0V1w/5q7d3cPyIM4sVnjvbZKsz4V/855t4QcxLF1u8dGkOWZHwPLHeekHCVtehWjRyIvQ+CrbGW7f3UGSJly7OUrSFk/GP3tykPXCwdI2bqz3KBYOREwjC7T6yfeKK+KxG7sFjJ0mGHyakaZITdRUFhuOjf//LV+b42XvbyIrMFy/PPvS+vt+1to8//MYZFltFXD/i6oWWcMk7xi+Fasnkd79ykr96Z5skSekOfaIgQ1UkgigljFJUNYNMQlMV4kRE6PpZRpIGORFIV2R0XWa2WaBU0FnZHrHTdYmTDFUBU5PQVZm5uk3BFuQp2xT3oh8kJImPrin8xstLuH5Mmon0u30EUQKZEFubuiCJlQs6hUMEyMPO31kmnG2fVBD88J778TlTf+35eeYaNmGccm6x8li3m181nuSs9Ulj4h18Dsl0fX9aBryHnzuIa6r1GennHL5WGhWT4TgQtX3BQJElseeM/Wl9evB7cSoGAEiiSpAlUFTE19J+Ul2K62c4XkilZKCoEpIkUSnqqLLErbUei60il07WuHKqTnfoo0xd/488x8OkxAf2rMMQ55EC7b7HqflS7nLrP8Zldf++8abN3v2B7NgJn6ie/zxivlnANBTCKKVWMtBUQcqPDjmQx3FKmgqRzzE+PeiNAhw/IopSZAWyFBRFRpLA0FRMTaY/CWlWDRQk9oYBsgQLTYvf+MIyg3HAYqtwRFxwdrHKtXtdBpOA88tVgijhxkof21QomCqdoUeSZsRRwtnFEmGUYRlqTmYUkJAlGT+IqZQNTs+VuHa/R5Rk1Io6qztjHD/G0BXCMMmHzr2xhz8dosaJ6C8kagoSJFnKv/z+TbpDn2bVPOK+N3ACfvDaOiM35ORc6UhCxOFagww29iYE03rjcO0QhCm6puAHMYamMvFDOkOPNM0o2Tp3N/uQiVro1EIld2vOMtFjG01CirbGbM2mOzV2uHSygazITFzRf4vilHfvdpBliVPz5SciRZi6yu997RT3t8bYpnrEcObXjcmDtZfz6KGaIktcPtWgPxLns92u+8B7/egEv2N8MIIwYafnMBgHqIpEvWKyPFNEksXnsbY7JolTMjIKlkaSpkgS2KZOGMbcWO3i+cLZnUxh4kfc2xqy23VJ0ozzy1Vm6zYvXmwxeF246+qawiQIMXQh1pQlCccLGUwCRpOQ1e2BSAKUJNIMVraG/Os/v02SiaSPUkHPHfELlkalZIAEplGkOxSOmpIikaai3xxNU56XZkv8d793iT9/fYPh2GcwCZi4YS7gAOG4HscpcZpye33AG9d3GToRtqly8USV+Sl5IQxF4jCZOPf6YfzIunp9d8xgHKCpMmmWESdpTrjYr2NGTshWe0KSCpOZKE4+sohjvlnAMtRpTZSxui16Y4YmZhmtmo1Exq21Pp2Bx4m5457ZMT7f2GxP6E1TKk/Pl1Eek6bzfn3CsXsoLTbNRKqsqU8FbxlDJ0BTZKI4oT1w0VQhHG9UhKgqjBNKRY1MsslSkYIhIYS19zYHzDbsPKFiH52By/dfXcXxY84vVzm3VOWVd3eEmYqpculkje5QzEq+/tw8fpjyxs0d9noepqGQZeIsM3QDxk7I2I0Io4QgEslotqnx/LkmL1yYoVoyGDsRkgQ//sUGt9cGmLrK4kyBvb7HyvYIRZaYb1jUygaVgnAvt6bEOk2VadYsFpoFJm7I4kwR2zo4M83WbX7nKyfZ7rqUbJ2t9oS37uxh6grPnBGJikMnZOKGlCyVN27uoasKy7NFvnD5QMhiGRqnFkpsd1wqBV0Q5qYYTUKSNMtrrQd7P0cS5CSJSydruEGMqSuPFOkf/swf9XhPggf7TWM3Yv5DP8oxflVY2xnheBGWoXB28ZOrlT8reOnSLHMNm52uy4/e3OS3v3zyk35Kx/iYcHKuTMkWTvdpmnF/a8jp+TKuH1G0dM4uVoSoOozZaDv4UYQ7jhn7AZqkIEuCCJymKZYhBAqyIlG0Vf7jX63QHfioqsSZperUiCCiUjB49myT22t9ZqoWrZqNZcjcXhsKV/s4wbZEQu7YCYmThCyRMKdnD8sU87d7mwPeudtmq+OIdFFNzB/nm0XSKZG53XNpDzxOz5fZ2JsI81NdYXm2xNJMgY29AmGYUC4aqLJMkmTEccr11R673QmVokmtbNKsWJQKGrqq0Joa0OmPmVc8eKbwP6B3Xy+bXD5dx/Vj8fqmhPvDM4AoEmcXUwem85Jjp/pjPAoP9rv6I597U6L9ibnS+xqTTR6obQ4n08dJeqTnNnEjSJmm2soYmkqjajFxRB/MMI6eUZNU3FsZGbYhxNZDJyKMUqolg1bVwo8SWpWHk9DSFOJUnN11Teb+9pC7G6KX/+y5Bv/t71zkvft9ygWNq+ePihsaFQtNFQkPlYLO/a3hkceVJJm7mz0UWeI3Xl7i2ltbvHWrTbmg89//wWWiOGW35zJTtynZR19TvWyiKqLnUSoIgXdn4OV8g//peze4tdanWjS4eqF55Hdn6zYlS2PsRTx7tpmbnIBIANnnbehTbtZhOA/Mrw5zK1pV68jn9OAscbFV5He+fJKdnstcXZxRbq31p6abFmcXK1SLBmmW0ahY78vx01QFQ1MYuSGNijD+PManAw/uQ5/GGfIHIZmm9E7cCFWRKBeePuO1d1ZGD/3bra0uFxaeboH5bt/94B/6lOHyqQY/fG2dkSsMJpZnyx/8S59C/Me/us/K9ohGxeSvfevcR+JXPX2ZNsf4pVErmwfR4xI0qo9WTe670Zu6SrkgHLBMQxGO37JEECZoisz9rSEFU+PEbEXEOCoSIFG0dEESe2mRIExx/RjHE27TM3UbRRFDQceLyNKMgRNBJggmYyfGMkRjdx+vXd9lsy1i27ujgHrRpFYy84KsWbX40Zsb9IY+g3HAX/5ik9evCafWsRuysjWi3Xdo9z08P2YwDljZHnF/e8TIDUky4Rrm+jF+KKLdRk7IXKPA2aUKJ+crzDcLVIomUZyiqwpRktId+0hZxvremOv3u9xYHRBGMdtdh59f33lkATXfLPLlZ+aYrdtYpioazbLMzbUBvWGAKstH4tJ2ey57PRcviNmd/m+cpnnT+1HxVCfnSiiKhKEraIpMq2az1XHEIM+N6I18Zmr2YxvnH4RGxcqJ8rIsHbvufYx4525HJGK4ITdWevzorS0kScLzY/zp4EGWZDbaE3b7Lms7I9Z2x7x7t0N/FBDHKXfWhyRJwr//yX28ICaMEl59b4cMWRgiSSBJGVEsiD6qLNMfewwmAdsdFzcQDaBy0cDzE5JUJN9ICFJVBlxYronkAUtDmkaXFiyNasVAlqU8lccPEupliygWJNVGxSJOBcGjYGlUyxbf+9lq7gp6b2uETEbB1EGSKRV0WjWL2bpNFKc0Kya2rVMpGVw+VePZ8zOUp0kwM3X7YH1DuHQ6XoTjRdxe7x+JZd/HmUOECstQWGgKVXurZqFrCqYhDjmGptB8zHr5eUKaZtxeP3hf9x0hjyGgqjLLswdq+ROzZU7OV3KyT7Nq5QdlRZHydIzDe+5hTNyQtZ0xnh8Lp96NPp4fs9GeUC0ZXDpZw54mPSzOlDi7WDniyFm0NGbr9kNkI0WWGIwFMdw2NCGuaFoULA1LVymaGovNAjM1m1rZYrZmcXdzyMgJ8fyYuxsDwijhf/3Le3QGHtudCTfXBvhTUvj+cO3kXJmCKRKngimJfJ+AqyryY+Ni728NhYOorrLRHucuHo2KxdnFat6A/dm1HbwgZjgJuLnap2xrpBm5a/D++7z/910/IkkyaiWTME7IyPjZe7vsdB3GTsgvbrXZ6Tr8i/98k51pYtAP39jEDyIaFXNKIpHIshRFEs0X2zqU+hGn/NXbWyRJRhilvHlrD9vQ+Ku3t5BliShKWd+bEEQpvalzR+tQComhK5QOkVNPzJbQpwW+banM1m1OzhWxDKFElyW4crqe/3ySZtzfHtGs2tRLZu7KchiPu9YexIsXZ/j61cWceHuMXx7Vkinqv0aBmZqFIgvCgaZIJJnYkyVAViSyTDQXJSBKwPMEaSklQ0KiaoukrbEb5dd7ksDAEe4yJVtHkSQMTcbzY6IwoT/26Y58+iOfN27u0axazNTsvJ4DsWaYhkJvFOCHCTM1i+EkpD04aFIeTruzTPVDOTydXaowVaSh60ru9vtxQJZlzi3XuHK6gf4JChKqReNAQCKRO/Z8mnCYTNqoWE8VKf7sQjX/b9tQc9emzwKqJQNVkXG8iPWdMZapUi+Z9McBjifOr5apIj3i+JYhRFXZ1KUpjEBGQpIhSzMkKRM1fAbtgZ87n65tj+lNAnRNpTcKeOXdbZTp/vyoc+zh69nQju5Z+5i4Ieu7E4qWzmKriD9Nj5Te537Yr4/mGgUURcI0FBRF4tRC5Ynq+c8raiXzyGBakQU5OP9+2fjI5/1j/Oow17CJolQQDxPhSLd/Vt7tOvhRiqmrDMcRnZGPpsooikx/ErHYKvLMmcZD6RA/e2+bKE4pmBrX7ne5s9bH0EUaRnsghMxxnKJpMrP1IifmyrRq9hHXW9vUUGQJ01AJgoSfvbeLLMsYmsLa3oTeSJDDx27IyAvxQ9E7S9MMPxTpnEhQMFXiNCNOMqIw4f7WiJETcmd9wMQ7GDBHUcpme8LYCXn3bjc3CQCO1MdpJlLs9vt44SExWa2kk2XCpT/OUkGsDhOiOGXihgzGAd409W6rPcl/b6/vsdsVvbW9nstrN3bRVBlNlbmzMaRoacw1hPHJ7fUBrh8zcaMjfboPgm3qPHOm8YkKOABOzZfz86eqikH146CpB+ezw+u1rslP5TDu04KMDF2TycgIIkFsKNg6s/UicZpyf2uYG/TEcYoqK5RsITRwghgvSHCCaJqAKwwZVreH7PZcOgOP6ys9Rm5IfUqm0FQFxw8xVRVVkXH9GE2TyZDy675UMHIRdpaJM8lu32N1e8S797p0h/40+Vrg8qk6SzNiOCvOGApZKgQZN1d7uH5EvWzheBGbexNcL0JTFTb3Jlxb6R+p15ZnRULk/c0Ro3HA2u6Yvb4r+vQ7owO3S1Nlpnpwbp2pWQ/VEaIXIcwf3rvXZWV7RBAmDJ2QgqXldYzniySzIEwYjIM8ufKjoloSZ+pGxcKYntdLBZ3Zuk21qNMfB0hIYt047pkd43OM/thnc2+CF8T0hn6edPE4PK5PuNAsYRnT3pihsjwj5l4FU0NV5bwv1hv5FG1B4OyNfCZuRKtm4Qcxt1YHkIme2GgScHdzyO2NvhCMb41Y3xkfEJskQYrb6bqMnZA3buzx47c22G5PcP2Y7sDnnTsdSrZOs2IJx0hNoloyqZZMSgWDwVicuRRJrMP+1PhuXzBh6HIupj01X6FaMuiPPH727g6rO2M2OxNeeWeHe5tDyKYkPVnm1FyF58+3ODFfplrSqZbEPObMQoUT82WunGnSrNpUHkjebVZtnjvbpN13eeduh+EkZK/vcWt1wMbumMEooN33uLMxYmVrxHbH4cZK/wiRLgOiSPRUZVk+kr56crF8ZD54+VCvEo7WdpWinq+Zj0tZPPyZw9H5zZPi7OJB/8nQFZY+wWS0YzyMfcfqy6cax2fWjwGKLPH7XzsNwJ/++H5uTHeMzwYkSRC/wygV+2l7wqlp6rNtajx3rslXn18kzTKR3pukqJJEECWCTJxl6KqCHwquwNVzLX5+bVdwYsKYwSRkMPKJE0HI1DSZkqWz0Cqy0CqiqTKvXttjp+fgeDFuEBOE4u8YuoquqySZEKQvz5VoVkx2ui7dkS8Sgoc+QyckjBIaFYuFVoF232V1e0Q4TQZ55b1temOfoROwsTvm3uaQ2XoBU1PFvDMThOxyUefe1pCdriPOLztj9roOt9Z7KLIwN3Hc6H0Np/b7r+LN5YjB1eNQssW+dViY0aoeJEM1q1b+PdNQjkXcx3gsDtdEpqGw1Zkc4Vu83/p95lBto6sKy4dSGnRNOVL/NSom/UlAloEfppiGgirLlAoGqqLkSWv7UKR9G0mJJAVDlamVTGolA9tQMQyFypSvc3qxktfNsiyRpEnu/B7FKTudCSM3ZOSGvHWrTaVo8M0XFh8ScOyjPK0LTUM90rMqWhrX7nfyefu//P4tXnl3Bz9M2Ot7/H//9DojRySFj51QpNgdwkzdplwwqBYNipbG2s54aowb8i//7CavXd9l5ISs7Y5548bekd4ZkoRt6czWC7QH3hHxcsHUWNsVvI3hJESSpHweKEk81Hc7zK1Y2xkdSQx+1KykVRN1e6tms7ojTCvE745xvCif6z4opnkQUZwQxMIQx/XjPIXwGJ88amUzN92SpKcz5aRoaRRtjWrJoGjrR9a2pwUnFqsP/dvTLuAAuHzy6XsN//EnK3hRiqYqdEY+P3h97ZN+Sh8ar9/Y4e07HUZOyP2tEX/+2kd7DccS4M8hDE3h2bMNxq4oap6EeKWpCs+ebbLbc/jWiykTLxJERgmurfSo2DrLsyWSNEVVJebqNqWCwZXTDVo1m1/cauePdXjgKgEzVRvPjylZGpauUS+rqKrM0kyRiydFcsa9zSHv3u2wvvP/Z++/niTJ0ixP7KecGGfOaXCSpDKzeFWzajbdPYOBzOwsXgDIiqzsvwQRiAAPEOBpdwWywOxgptl0z/ZUd1VlF8mszIyMDO6cmRtXU654uGrqZu4eNElEZNoRKamMCHczVTO9937kfOf0SBAqYLM1ixvrdfwwwtBV8paWTS+HYcxBy6U78DnuumiKjKmrmcLZ9mEf14+wDIVmW7hZqKpC3laRE4layaRgGxRsDVlWWJ7J80+/3WVltsBblxu8f2sf3wvYPBAqXhISnh/y2WYL349Q0iB5ZA13HkxdzdS+SZvOSaoYBhBEMZ4fcn+7y6P9LnGUZIFcEMa8c3mGw84wnYqGD+4csjpXzFSDaiWLP//hOocth2LOEApnGy2sdLJ6pML+0w93GAwDLi2VH2vtdh5ylsYbF2oM3ICcqWFOFQW+EOweDfjw7iEf328iSxKWqXJxqUylYHJxqcxec0C1JFQlgiDiN7cPaXWHKQEkxjI1ojhhfaGIn5IXABw3oD8IqJdiCpZQ3NU1hThOuLoilI+OOsOMuFDJm9mQVt8NKKcF9XrZ5lJBJ2dpfO/GHEddl08fHiPJULR1akWTg5ZwsbmwWESRZa6sVFL78i6uH3FlpUK9bJK3dXKWwm9uN9k/GuBHCaYuCzvxy3UGXowsScykwxQg1H9nazlylkZ34IEE73+yx2cbx/zuO0sTpOQ4PllPR50h3b6PrilcWalMFHCurlUoFw16jsdCvZAlTwv1PHlL58JiGSRR5HpcY+GbhDhJJlQCwkgo/MpPSRa/Sfidby2ysd8jScRA3ThKeYObF2oMUyepp6nX++NqylFMNn+biLPgB28tsDRbIAhjVmYLyLJQfXi42yWOk4zMeYIEkFLSVYQfCPWYUk6jXrH5P//5rFCuzIkm4MANWJopoOtqdn7HSczth20+22jxYLtDrWQRJ2JYwtQVLi6UqJZMfvytRW6uVwki4Rwysi49j/D5pPs+bA355af71EsWFxZLmIY4P3uOT85QkWRJ2DVKwq6xlJO5u9Vm4AaszRcxNAWJhO3DPgM3YLZqM1fL4QURtx4cc2+rnZFdIHWuGrN9TBJo94VDzwefHeL6IUv1PJdWqoLgNFbk9cM4s44EsWf1HJcR31RRZVRFSievE/72nzdZmc3zzpUGlqlRyhsTg2h5W+fPf7DGXnNAuWCgqQpRnPDe9Vke7XWZq+Uyq2cQikrj5NZxNe4pXg3UShamrlIr6Pz1+5uYO8JW/LjnZUPCMxWhnDZwTwY0YiCOEiDBj8RAUpxW3VQF4kQUVhVZ2KLf3mhhmyo3L9SpljQGQ59WX1gex0lyrhp+3xGJZRjG5CwVy8xjp3Hj+LM0Oh+DMKKcN55aLBzH+kKJgq3R7nnMjbkGnUYUJ9zfbtNPnUDWF0qvzTmjawpvXqzRHfiYujpBbHhV8P035lls5CfOjtcFj4vbvg4wdZU3LtZ4uNul1XM5SlXhTV3FthSaHQfPj7ENBceNGN/ix1dHEIk/x0lMvWyhKYJg4wwD/CjGdSPUnIYsSai6TGVsHQ+ekL+CcHSyU/Xp02fWCONnuK4prM4WWJzJP7H2ULB13rhYx3ED3rxcE3lL2aKYMzIXDhDD5HGSIPN67AcvAxcXS9RKJiScURSe4tVArWwxW7M4OHZolIXzpiSJBuH7bsDO8UAQuRUJRZVRAEkWrnOfPjpm6IZUSyarcydNQdc7qbP5foysSMSp8EfO0nj7cgMviKiVDAZuxIPtNrWiyfduLvCXP3+E44bcXK9y1PEYDAXhQZLJ8l8JWJrNE0XC+aLd9wQpIYH+UKdgB7R6QyoFkyvLZVp9D0WWOWgNafdcwkioRH93ucz6QhlNlbn96Ji95kmD1Rme7D8zVRvbFHtNHCf8860DOn2htH9pucT6QpkgFPUOVZFodj1ypsbQD1FkKRWfEcMaQRBj6ArlsWb2eF1y5LJL7uTfbj9q4bgBlqHS6rkct10kWWKufkLSeF2wNFvgz3+4TrMzZKaWo/gEVcdxNCoWlqni+SHFnPHCrgVTCBJErWSlz2PE+kIpI/WEoVhTqimnjSoHLwyJnQhFklEVGUWSyBkqpqbS6nu4fohlKJTSwZowEjno6myR62vCibPddzE0lfl6jmJO57s3Z0kSiOKYrYM+zY7LXN1mqZHDCxI29ro0O2JozAsiZEliea6AroprKOUN1hdKRFFMFMW0Bz6yJLE0m2f3aMDyjKhJPNjp0Bl4HLVcLEOlUjQYuiE/+fYSj1KC9Eo6xO2HEUEkyF66JtQ9dU0IQIRRjG2q/J/+7Dpbh31cP+TCQulM7uCHJ2s5jOKsBkgiPlvSHy+nTiJxnGBbwikzCGPubbfP3VOfFaoiZyr2Rupm2nOEGv0oRgoi4fD7Ii7YU0zxuiMIJmtS42vWcQPubXeIopiFRp6ZyskZe976/LMfXmDnqEfBFkNoD/c6dHrCgeONizXW5kv84qNdKgWDIB2WWKznSJBo9URe5QUR24d9tg56HLWG7B0NMDQF01TRVIXff3eRoRdRLhj802932Tt26Pa8dP+IydvC+SIhmbg3z48YDkPhjrRSJm9pKIrosSzNFvj7X27Q7vvoqpKeqxrHXY+tgx61ksm9rQ6PdrsM3IDOwOeoNeSwLQZW1uaKWKaK64f0BgFvXrC4tlalnDeI4oTuwMt6o4NhgOuHFGyNn320x29uH2AaKn/2w1WWZsQeN/SEeF0QRqm4nhhwaPdcgkjETIasCqdHJp0wJYRYj+OFQkm9kWe2auOnuWGjZPP3v9qgYOr82Y/WJ7779YUSlYJJkiTP1F+xTXXiO5+tPn8Mdmm5Qilv0Bl4LNRz2ObrI17xTcBH948AeOPi60cyelXxR99d4f/1nz7l/k6HWw+PubE+/Wy/LjhzngYRP/7WIsuzBeIkYXWuwOZ+nz/6zjI//XAPiYShH6EnEYYu+BumrtDteeQsnSSBB9tdjjsuYereGkYJWwd9UX9suzQqFmtzYkAvCEMhQpWeDVrqmDVby3F1uYKuKzQ7Q4Iw5pP7TYIwRpYlDE1FSfNoW9eYr9uszBVZqOfZqw/49NExcRRz3HUp5Q10VdR4wyghjhNypsZ712boDoRLZjGnszRT4P5Wh1bPpdMXIhFeEDHWsp6IN87DqP76PDyp83A6Zx4NyZTyTxdUGfVwgQluzxRff8ylHBc/iCjYOr8Z49BF6bP/OEfltXlRS3hcb+3ycoVO30OSRPw7V7M5ag8xdIV62eKNCzWO2kPqZetMbDVXy9Eb+iRxwkzVZGWhzOHxEEWTubxY5vp6lSRJKOYMsZ8MfI47LnO1HI2yiAfDOME2ZCRJzoZRFBl8P8KyzudCOG7IP/xmi+7AZ3m2wPffmGe+lsMNQupFi//pP9/JHEf6w1NObaccL8ZrfeLzKmauFboq85c/f8jmXg9ZkXGGAUEYEcUJsiSlPVGNveaAi4slDFUWIhwACRTzGu2+yCmKeZuPHxyxddBH1xTevdLg5oUaG7tdZqr2mQGZyeuSKOaE8IMiS08VgDt9T/5z9PwNXWV1toAXRFiGdq4w2BQvB5ah8sbFOv3PeQ69TCiKzI11UQ/TNeWJLkKvKvb2zzpx3N9rcWGu8hKu5sWRMxUG7slekfD6DXP3HBdnGJCkfLOj9uvnJnLaDX1wyj3rWfH1YTxM8VzQNeW5nRNGNsT9YUC373Nvq025aKDIMrtNh4W6IBIuzuQxNGHFOyJeV4smx10R2Iyrb11eLvNor8vSTI5O36OQV3G9mHevNrBNjQc7YuN03BDfj2j3PSxDQ5ZDinnjDBH00lKZO5tt2gOPUs7AMlQe7HTTYQyhRrxzKOwYtw97IilKJJodVxRXJZnVhQL3trvkTY28Kawof/HJfjZhu3XQ54dvLvDr2wcgKxy1hIqZ60eszhX55MExnb5PtWTyzpXGU7+Hldkig2HIYBhQyOnY6TDEbNVm86CfkVQ3D/pYhkoxr7M0I6wmVVUQVWtFE8+PuLvV5t2rMxnJrZQ3JoqifSegnVryzdVs3v9kj+OO+F4+vt9kvp57LjVb01CnwxtfIAbDgM39XqaOMfoeTU1YkHb6GtfWqgRhTKVospX+rONFDD2hcocUEoSRGFKydC4vlfn4QZOhF7E6L0h6kgSapmAZKoWcTr1ic2+rja4qwnlCVyjkDfwoxlBlynmDoRciy8I1oF6xuL5WRddVFup5FuonrgNBGNPpB5QL4ncW6nlURaY/FCp47b7PYdthbb7IzQs1fvbbXZFQyhD5MWEsUdAUcqaKpknpBL9Q7qoUTOaqOR7sdsjbOn4Yc9BykCWJg+Mhv/nskO+/cWKKLcsSsxWbBzsdjjsuxZyeTblfXp4MvmZTe9XTKOb0jMwxhYCqyNTLFkepKvvsKRX3KYQa/Nr84xXCbFN75oSslNrzDr2QclFYBoMgO47Oi+UxJfskSbi71SaKhGLtcddjfaHI/Z0OjbJwxOk5PsszBQ7bDrYhGoE5S2WmksPzY66uVs5tqM3Xc2zs9dhrOrS6bjrwqNHuuZSLBnEcU0gJPv/qdy5kVneKAtWSmZEWnqXxNlu1ebgjbNUdV7hgdAc+m/s9Li6VszjmzSsNPrp7RJJAMWdQtA12mw4FW8/OxetrNTZTtb+RtamZFpYrBYOZis29bfH5FGydxXqO967O8Pe/2gagXja5ulzlf/ybz0gQZ/dea8iPbI1y3mBmzJXANlWWZ/Ns7ov3u7RUZq6WY7GRY/twgKbIlPPCEe2g7TBXy9Pp+3x4r5mpZZ1G3ta5dE7y26ic/Rw1VaFaMrOz/UWanFN8+bBNlfYg4I2LNbwg4v52B0WWkFSFOEmwTJVCTmPohUin0u04ARKJIIrRdZVyXjThdVlCVUQDxQsi0byIBSlRUxXmqzl2Dgepyq905hwEuLvVxs8U86XM5lFVZGqnlEA+j3NDvWxTLz/52dxrDmh1Rcza7LjkUkXs1wWa+vy51leN5S/QBeWrxuPitq8DdE1hfaHEUdvh3lYHTZUp2BrHHY9izuAoHCIrCoqaEPnxxP5g6DKuf1LIj2LQFIUbF6u0Oj6uHxP4PromM/RCTENlsZE/aSxKcG1lUjH1PORtnfwT/n08dkGCxZn8M60Hy1BPFO3GLmO2amdKWvWyde7gyBQnkCSJSuH1U2/6JuHw2CEIEkp5kzBKSCQ5O+NUWSIME0FAjmJ0RUFJ62qSBN2UpLDfdCjaOpX0fL66WuEffzuEBObqOboDF8cT+8HKXDFT9OoPA/abA/KWjhfE/E9/d5fZio1laHy20cY0ZVRZDA0vNk7O3ZW5Al4giOKyLJzkRs57It8PKOdNZEmiVrZYaIgzpmD3+MXHQ+IYSCTW5gtCORBBpt4/dkgSsFPFznGM9pp2z6U39AVBOxaOJaM4JAhj9vMmhi6cBZdzhewzCsKIjb2eELxwk4xwAkL58LA1FJ+xpnBhsZQV2iVZotMXMYjru+yPBk0i8LzXz94ehMJb5QVU3fKWNlUQ/QKQIOJZRZZRTRkvjDKhhdW5IpuHfZxhSKvroilKSq6NiWXhvCErErqm0R/6aKpCECQ83Onw1qUZJJnMOUWVJRYbebYP+3hBSClnIEtSmrPmCMOY3949ZPdogOdH1MomqqpimTK7RzJKEDF0AxbrDXRNpl4yM6EDEGI+b11usH3Yx49iNEXBNjTevTpDuy8cNeKUADFwA2QZugOJy8tlZFk+40ozV8vh+RGNsk3X8cjbGtWiSbvnoSoyfhDjeCFXVh7fPK2VLPabDkEYUyuZ2bBR3p6suczVctlQejEv4pSHu93H7qnPA1WRJ+Ic29ToOwHNsZx8OsAxxTcVlaLB7pGCF4h9b3xQ4952h2E6QP5wt0spf+IQtHXQm1ifBVunWjS5tCT2g3bPw/djLEMMVWzsiVrhO9dm2DkcoAOLjTwL9RyfPmqRt3S6A58gjHHcEAlwU2firuNTLprM13PM1wtZjfvScoVPHwkXwJylMV/PC5cdKUJRJK5eqWbxAhKYpkqlYDIYBqmLbhFNVXiw2+HySpWNvS6SJOG4AXlLDNF7XsStB02CMElJY33c1HlJRfRFJFmi1ROCHPWSyc7RgKtrIdWiiSxLE/tPzhJOzdsHPf7ptzskiXBM+o//9Ij/4V+/CQgy2/Zhn82DHqoiY+gKe8d9CraBG4gBQuFyomIZCutjSsLVosmeNUBVZWRZYqZiZ2Qd1w85aDncWKsD8GCnO+H4Bs8/YG6bavadvygaFfvc+ukULxdRnPDhHTHE8ebF+ku+mq8PCrbO77+7xF/9/BH/4b8+mA5xfI3wuPN0dWyPblQs1hbKtHsBtx42iWMoFUwMTSGIYuIYbEunUTG59fAYxw+EQB8SSRTjeSGt3pCdI9FL0FUPRVaol23KBYsrqxV2Dgc4w5BK0aKWEsJ1TaU78PCCSCjG9300RSJBCEFFScxM2ca2NBZnisxVRZ1hoSG4A24k7qlga1SKBq2uRykvnKYWGnkhIGHrKIogO8uyxDtXG7R6wm3c9SPqJZNG9aR+8Sw14xfhSZ2H8ZxZU5+9XzLq4Y7+e5zbM8XXH+Nk5/G6d6NiPXUA6Em9NVmWspw2iiISRH6KBLPVHI2KTaVooSjSGdV8Z8QzQgjFhFGc8fBG7tkjbKYuFJah0ul7zNfyNLsuSSLceRfrOY66IpYv5QzMJ/AhfnV7n8OW4Jvc3WwzU7GzumEUCbHXkVjD6myR7aNB6n4BP3prDkVJhVyU8wciRvFnZ+Cxud8XgxlBjK2nbqhRREJCIa/TdwLyls7+8ZCcraHKqROgqbLXdLLP57ONFlsHfYIwJghjbm+0uXlBCFsnCewcDSZ6b3O1XOY+nLPEa43ynrub7SeKLM/VctwdtiERvZPSc/RlZyoWx10XQ1fRVPmV71d+02BoCsZr/p2croe9briwdDZWft0GOIDUbUf0LBRZYnXh+UVqXj5kRkZUUTrI+7rhzYt1fvPZIa4vakbvPoeA/jim7OspnguSJHF1RUzxun6Yqd5busKN9Rq2peF6IXvNAR/cOSRnaVxernBxqcSMI4i+YkLY5e9/tcVgGLBQz3FxaYFvXWnw2UaHo/aQvhtyf7vN2kIJa/QepsZ8PUfB1inldWRkHu52OWw5mLrK5eUy33tjntX5IrceNsmZOnvNAZeXypQKBnM1C0mWqZWFvftx10WRJQo5A9NQWJzJiYZ3LUe5YCGTcONCjUJusrjohzE3L9SYrVq4XoRlqvzzrX12jwaoiszbl+vkLI3r61U8P+ZXtw+4uFjKCLFBGHNns8VgGFDKG1xaKnN9rUrP8Zmr5Xi01yUII4o5nc29Hg93u/hhRM5UWVsosjSTR1OFm4BIjEMMTXxGcZzQG3j8wwc7dPoeC408v/fOYqaue3m5TM8Jsu9h3CEFRLF1ipeHURJiaCoL9RwxsNQoUMjpJEnC6lye9YUStqnR6QsSw8jBJU4MdFWmmDNYbOSppEnJv/nJZVZuFdg66LNQzzMY+hQsHdcP2T8WAxBJkrDQyKWqfAmzFYu5Wo47W200TcEPxdCTqYvkYDTscR40VebmxVpq0QpIYsL+wW4XTQVZJlO03DkccH+nQ0LCTDWH50UUcjpXV8usLJQZesLib2u/x+1Hx5TyBu9dm4EkwfFCVFVCHmuEeuc8v6vzRWRZXMdITTwMX7/p01cNFxZLNCoWEjxWRX2KzwfHDbiz2cYPIhpli5W5AoamZIqRBVs/t6iXJGTFvyhOSJKUsJSub6HkIYY9akWTQk7H80JGlM/D9pCe41MvW1xeLqcDleJsNnWVS0uieNIbCIvQS0sVNE3mW1dmaJR09o5dhl7ITz/cBXb57o05LiyWuLQ0ef48DTMVm7ylsX/sYJlqttYzZc0Uf/HDdW6sVdk66KHIMkM3IIqFAkAYxWzuD+gOPJI4oVYSDU5dVbiwVEJRJBRZkN57TkCloHN1RQyo/fmPLnBlpUKn53HzQh3TVPHDGNcLiZMEVZGyc9vQJ8Pp33t3md2jfqqI5/Or24d8+/os792QOGgOSJKEnUMHRZWRFYkgjHm42+X9T/aYSRu9nweXlsp0Kz6y9OT1uXUgBnI0RebScvmVdAv4OqLT9/i7X27y2UaLmbLNt6/NEsegqRJHLVeQtBSJQ0BXxZoeiUcZuoRt6iiyjCzLVAoGs2uiqLl3PGD3aMD97S5uEENyosxfKei8fXWGa+tVOn2fw/aQg5aTOXdJ2fo6OR8NTeH6elWo1ZraV66+fHqtn/7zFFN8naGpMm9fajAYhiRAt+/x/q19SjmDRtXGSZ2t/vnWLn6YIAGqInF9vcr9rS5xkkAiBjwGrsfPf7uHrsk0yhZ+KCMlwu1vZbbA9dUq+ZzBbNVi93BA1/G4s9ni4mL5hZuHiiJz40KNvuMLZdvPOfS/Ol+kVjJJ4LVU9Pm6Yq85YOugjyJLXFwqf67hvm8aoiimP/TpDwPyloahyfhhhIRwt8yZCm4QYaoKlYKBbmhoiky1NEkuDsbOxoV6josLJaG0V8+zPFtg/9ghb6oszxVZXyiKgYfmgJ3DfvZ74zm0JMF8LY+uKeiqwmxNuNeJWEDls40WBwOPatHk8kpFDGoBx10XVRHq/YausDJXoJgzkGVBHu/0fVo9l6V6gf4w4p9v7aPIEsuzYqCj1XW5sFSm2RnyyYOzsWkCmLpCb+Bj6MrEIJemyrxxoUZ/GGDoCqauMhgKMorjitzD9SN0VZmI2U1D5c1LNZy06axrCr1UHanZcTlIG+hxDNWigW0K9yJ7Gi9P8Zz4+H6Tf/rtDttHffKmRpwIQvJiI89bl+pIksR7N2b53361zX/9YJujtksURcSJTL1osDhXYHW2yGAY8MvbB+iagiJL5G2N5TkxmFEtCnKWosj82Y/W+dWn+zjDAD0lbJULBr/57BBZkmiUhePfoT8UwhyJIPR++8Ycnb5PKa/x5sUGOUs7d2hy5MLt+SGyIrM8W2C+nmMwDBi6IWGSsHPQR1fFwGje0h5L2p2t2hRsjcvLJfrDEF1TGAyDTDAETnIA3w/5u19tZaqhf/DuErqupm7jwsnLNFSiKGb3aMBx1+U3dw6zevzIkSSMxBCYNEYEGSH4AvONi0tlZqr+tGY2xTcemqpkfYLROT3CuIstiYiPSPsN4w7QZ34W4So08e/p+l2aKVAumMRxQsHWkCSJty7VGXoh716b4c5Gi54TsH3Up1IwWJkriL0vp1MrC0EMP4i4t90hCCMuL5XQVIVKwUTVZP67v7jJ9lGfmapNvWRxcDwgCGN2jgYkiRBN+/XtQz6536TZcfn9d5d440KN2YrNnY0WfTeg3XV5uNvlwU6LX3yyx0I9zxsp6WuhnqfnpPugJMRqvv/GPBt7HRHPpD1Az3/yUOnQCzMCBEAwpuC7MlekXBCiPKOBOdcXQyFzVZtCTucn31lh6IY0KtbEd6ane26757F12Of2o+PMAToIY1w/ymq+nh9y68Ex/aGf9UCn5NQpRri72aI/DFL+QPllX87XCn/xo3X+6ueP+OmHO/z3XTcb5p/i9caTzlOAZmfIw13hrv2H31mmlNe49bCdKuPHFPM6vh8TxTGPdnvESYIiyUIILa1FxICETBKHxFHE/rHDUcdlY6/L+kKRH761gGWoOK5PuWChKRI5W6dg6/z69j77xw6uFxKEIt7OWzqXlsssNXIp4TzB0E/UxlVF5tvXZ4V4qy4cBBca+czRbvwcH8/bAebref7V716k1RkShTGFvEGtZNFzfDRVfuUVzeN4UmQiTvu4nHId3j0asH0o6m6XlsvTmujXFF9W3VtWZIqWznHHxTZVSnkdQ5fptj1qRSsbIhihWjTxwog4TCgVdIbDgN2mg6bKzFQt7m93aHaGmIaKfqpX+N71GZbncvSdkMtLRcLkRBxloZ5nc7/HQWt4bi/acQMOWg5hFGPpKkPvRMk8ihNKBY3tox6yLDNTtfl3f3yNj+8fMVuxWJ0vEYQRjhtip856j0MYxtSKJn4QI8litf3+O0vc22lRK1uUciKHGME2NK6sVAjCGNvUhLhzCj8QIhJhmCDL0hnnlNO1hvl6jlJeJwhjTF3hg3SQdXSPp/mO472UatHkrYt1vCASA23PEU/nbZ03L9VxvfCl9HinmOJVR99xz/zdXrPPXO1JEnavHpbmigRBizCOhRvYa2i7Uy4YFHPpPmkoWe3jdUK1ZPHf/+s32NjrZTWjF8Hr9+1N8bkRRaeLnklmafYskCQx+HBx8URBa3m2QLloYhmC5NhzhNVN3wnYOeojSVKatImg7J9v7dNPf2b7cEC77xHHEkszeZJE2B2HUZLZKSOl71EwqRZNKkULy4SDVLVv6IVspBOsc7Ucb1+eARJKOYNa2WShlqNgG1xeKmcKMfWySaNiU7R1Li+XWV8o06gIi+WcqXF5pUoUC6vkbLpYgmsrFRHolSzmG0JV9EdvLVCwhR17ztb58dsLOG5IHCeEqZ38CDtHffqOaCq3ex5H7WFGat07HqCpMooic3+7Q5SSdUlJucWcngWgcjqAsjamtDBXs/ntvSbtnkcUJ2wf9Lm/3cm+Z2Die7h5sZapv1VLJkuN11eR9+uAgj2yA81jWzozFRvTEAUZTVNQFYVm16OUFwoUSzN5TF2hVhJF9tVUYbNSNJmv5QR5O4p5+1KDi4tl8R45g4WZPHlbQ5ZFgT1JEqRETOMXbJ3+MAQkFup5On2POxvtdBpdJBJDL2T3aEAUJxMJzQiqIgsXmIKBpStUyxY5S6PZFQqcC/U8u0cDbm+0WJwpoMgyeUsoa1xeKbMyV+T6Wo2CreMHIVuHwo7Q8yP++ucbgIRtaBiqmiUcqiqfUZYZ7XULjQKNsk0cJ0gSLDTOV/LOyO5PwOn985uMgq1Pm9FfEqI44dFuFze1uD9oiXPCTC0VS3njsY0vWZYyq85y3qBREcWYetmklDOoFNO/01VqZYuZis1sPUejYjH0Q4ZuQM7U8PyIhzvCUvmwNczO2mbX5a3LdQo5nTCMUVWZ3393masrFaqlHFeWK3z68JgwFEq9P/94lziOz8QBzwIrVQgf/Y64t5PEabQe1xdKfPfmPFbqDjVftynnDVpdF8tUyZk6xbwgbOiqwttXGszXctRKFnGccNB2mK1a1Ms2za5Q8EmShEvLFd67MScGOHyhZBonMVGcIEnCUcMP4gki3AjzdVFwHsU63UFArWDy7rVZ8rbBhcUi8/UclqHSdTwWamKQbr/p0Op5zxWXnYdi7snrczAM2DkcEMdJqpJ01jJyii8Hv/r0gL4TYJsa+y2HZtfld99ZoF6yqZdFAyRMEvKmhiQrSJKMpkrYpoypqeQsjVrJQJFF7FbIGbx3dQbbEM4wmiqTRDESwi53dD6K2NcmgXSAE47aQ1q9Ewvi+dqJgk+jYqWD08ZLKe7NVmzU9H11TZ4qJ07x0hE/Ju79smCaGuuLJQq2xtAPWZsvAAlDL+THby0I50pDkBAlWaKQ07myWGJptoChylimjqGpRJH4d8+P2Tt20FUVQ1cxdZW8bZCzdVbnCkhI6XA4tLreBIHyRaDIEqW88YW5NubTxvAXjWeJ/6c4Cz8QDgdxLOoVD7Y7T/+lKTJEiM9NkSWCMMqGalVFDPgqsiwI2apCpWSRMzQsQ2G+ls9yAMtUJwg5G/s9ZFmiWrTwgwhTV1icyVMtWSzUc1kOsbZYzgjViiLx47cXMp7AKD41dQXTUJir5bANlbylCbEVJ8DUVFwvYvdoQM7UyJkasxUb0xQxim2qos6Wxv1xIpwuGmUbP4rYOewThjF+EPH+J3sosky9bHN47PDZRgsviBj6AQ93T2JTCfHMjRrMp9esosjkLS0jsuQsca/1so2dXqO4n8lYQlMVSnkjI4IU0n1mtnoSg+QslUvpYPvIveiLQhTFnzvmn+LVhuP6/PqzA3RVwdZVdo8GkCpTiudaiDP0BoGoZV9pYJsKkiwLcaALNd6+NMPqfImFmQJXVysosoymyqzOFbB0jZyl47hhptypqzJvX25QLproqauv44ZEUUwQCre+kTiEIouhzrwtxFpmKhY31+uU8sZjXa88P+SgNcQyNDRZHlOT1ASxyNQYuoGoj1sahq7ym1MCQuOwTY1K0WJ5tsBs1WauZmcECEM/Ucf96MFxVpc4bA35+MFx9hqaKmcK/rIkZQqgYRhzb+x8Gu0NowH2+VrusXvq58EotpjWzKZ4XfBln0ejPsFpwuniTD6LQapF85R7zsleYBnqmUHWct7ANsXrjdcKoygmb2nZsBac5CWWIc50VZWo5HUMXaFgaRRsIRzn+zGP9rrc2+4QhjESEqqmUC2aqKrMYiNPqWBwY72WNeMbFZuZao7FRp4oSdg9FP0SQ1dpdV1+/dkBtqlx2B6ST6/pqOvSHQa0+4FwWHdDPtsQjh+r8yXevFRntpYjb+usLxS5sFjih28tYqWfT6VgsPQEV03fD1mdF0Jwo8/nvWuzEz9TzOm8e22WatFipiL2YDOtqX77+hz1Uvp36Xc2qvGOvs/uwMP3hULzZ5stWj0PRZbopwOxSOJz7zl+1gM9aDlPe1S+Ekx7O68GfnVbxAZvX64/VXF8iufDhcUSN9arRHHCf/qnhy/7cqb4AjE6T3VVOTMAcH+7QxBEJIlwu7ywWMLQhQOg50fkdJUkSfDDGD+tRTQqFromYxkapbzJTNlCUYQDbhQnyLKM64dEccJRWwxIN8om19fqLNRzzNXzWZ3OMjQsQ6Vg66KuIcHqfIF62WJtoUQxp1PMmyfuu0A5r1PIGTTKNsW8weJMgVLeoJw3yFtado6fzttHKNo6q/MlLixXaFSEiGwpb7zwAIf/JYqcnq49yrLEQv2EpyDinsm90PVDNvfH6m4707rb1xlfRt27N/Bp9T1MXSFJ4M5Gi8EwRJEkhl7I3rFDGIb0+4LEPF/LYagqlqlRzBl0UlHGKEl4uNPjqD0kihIh3hDFWc3A0BSurVdZXyjzxsU6jVqeS0sl5mo5IZycN9hrOqLe503W+wDKBTPlKgoRl/KYu3ScJOw1HXRVQZUldo4G5EyV796YY3Ve8BQ1VSFvaRl/bsSNOo1ayWJppoChC6Haq6sVFE1mbb5M0TZZnS2gp69hGypXVspYhqiXaKqc8S4AbqxXU4FHBV2T+e6NWQxdIYrF53KeG9CoLmvoKo2KRZwkxIng/p3Hdxy/B9NQBTH7BQaiDU15aT3eKaZ41VHOn12rRev1WyvVgoGiSmiqgmlozFZeP3eUb11toGtqNqz83vXZp//SK4i8pU/UjF4Er9/4yhQvDD+IuP2oJZSwbI2rKxW2DvrsHzsoisTl5cozqSdu7vfYPRogyxKrc8JieCOdoG1UrIkkDDiX7BKeUtMZWZqTiKKtoSssNQrkcxqNikUxrxNFMb/zrUUOWg5/+bOHfHjnkDhJ+L1vLWJbulAcTaGrMglClUdTZbwoonXgMXRD5mo2b12qUcwZeEGEkhJj4zhBU8XwRLvnnVidSxI/+fYSx12XR3sdfv3ZAf/00S7VosliI89szWaxkefCUoXD4wFeEHFns83O0YClRh5DVxkXB/L8iAe7HYIgTh1A8qNbp9V1OUwJM/M1UQBeXygSRvGZieiNvS57TSf7HoppMfr2oxb7zQFhnGDogvh+d6vNccdFVWWurlSyCee1+RL1kpWp7YwcO6Z4OZBliaurFebrNjlLpTcIKNo6+y2Hbqp6P1sTpIwoSmhULP7iR+t0Bh6P9rpEYUK5aJAk8GCnw88+3sMyVIIwYr6WY66eywYz9hKQkIjjmIPWUNiV5g3majn6jk9CQilvsNgo4Lghsiyxc9inJ0k83OsSx3G2D1xcLGX2jCM0O0P+8z9v4vkRc7Ucv//uIkkiVOmHXsjD3Q5hlLA6V+R7b8wiSRLXVqpsHvTwg5i7W20uLJQYegEb+/0TFf6x/cTQFf7wuyskcUIhp580FqKYTx8eZ5P3V1craKpMEEYoinpuotLuedzdahPHCfP13ITNIYhk6fZGSxBXDIVrq9XHupFMMcXnwcPdLgfHDvd3OrheiKrIFHM6V1ef3b5vebZAo2yRIAgNni+IXF4QIUsS6ujvDBXPD1HSwmqz42JqClJaxNk+7LPbHDAYBtkwYxwnqLKMrip4YYQtq5j65FoYP+HFsJdw4Xke9ByfzzZaRFFCrWyyvlBC12S0tEh9Z6NFN1XjvbZWJUkSNvd7HHWGVAom37k+x2F7mKl93LxQJ2+rLDYKmTOWoYl9IY6TrEi62xzQH/qUCyZXViqYmsLf/2qTvabDfmtAHInYwg9CfvbRDqW8yR98e/ncezgd/8SJIHK8fbmBH0SZ0tCj3T5RLJrmo8+7VDAmzusvGvGpBv2UwPrVYegF7DUHqaqUhK7IdAd+9ncSCQMnSMmKMlEcI0tCfWquluMHby7wcLdLb+Bz0HJ4tNflgzsH9AabM7tRAAEAAElEQVRC0ZtUBfHqSoVLyxX+5HurE2SJ0+SM0SDPpw+Ps73iwmKZvP1yFatMQ+WtS/XsmqZN3SleJnaPBmwe9JAQDfEv2yJ4PM9bni0QxwntnsevOgd02h5//YsNjrsOXhCSM1USYoIw4R8+2MUyNS4uVzB1he2DHvstByWR0VNHjEpRFPyXGnl+91sLLMzkMXX1TDPw9DnxdUR34HNnU8QaM1V7QhxhiifjTBzxDXhevkhoskylYOJ4wqFy6IXc2WwjSaDIMheWiwyciIKtsX3Y57DlIMkS+ZzOv/3JZfwgwjLUiaFuxw14sNMljAQpfHk2j+uFyJoQhBhBV2X+xffXaPVccpaKbep0HR/fD6kWLT59dEwQivpTd+Bx60GTBFBk2Njr4fpCLV9CuLEkwNpckbcv1XHPObMNXc1cQBJg97BPs+MiSRKqImX7aZzAnc0Wnb6f2k3PcvPCSKRBYmmmQBBEKIo8YaedJAl3Ntu0ex66JnN1tZrVJDVV5o2LQnHutIPHk2CdE4OMXD1OE1BfBEmScG+rw3HXRVNlrq5WXnml0CleDGEMJKLWN1fLEUUxxx3hiHfQdjJ7+9GeuljPc22tyv6Rg2lKqKrC0Av4+EGTgq2zOlfinaszPNju0Bn4/P2vt2iULAo5ncZYg278GVZkib9PHSySJCGME3oDnyRJmK3mWJ0rcmmphGmoqIr82DqX4wZZT+Hg2EGW4eFODz8UwyHvXptlaaZAvWRh6Aq/vn2ALIkB0edxuLBNjbcvN7J6xYik8DSXvuz63JCDtsN8LYckSU8cwM2P5ean99QXxXgdo1GxWF8oPf2XppjiJeFln0czFZtS3iCK4jPvm7d13rr0+PWpKEKswvVDNFU4FH220crigWurVVRV5vajFoNhgGWqrM4V+fXtAx7tdTE0he/enMPUVDb2u1kf8PTg/kzZ5upq5Vx3we7A52cf7bLfFAIps7UcYRyTs1QcN6Dd9wjCmEtLZdo9j71j4RIUBDElW8dxAixNDPUJIbcITZP5ybdXeOtSnTgR+/nD3S5DN+TKSoXFRp56ycqGTcdxuhfz3/7RFfaaAyxDTRXQJ7FQz1MtmMSJ2K8ebHexDI2ZU4SPTx40+dXtAyQEsUKRZD7bEOfBbM2GBJI4QZIkFhp5bqxXURSZzb0utzcORW1LVybIqi8DUZxw+9HxtLfzimCkZv3u1ZmXfCVfT/zFj9b55MExf/XzR/wf/vjqC5E+p3g10eq63NvuEMcJizP5TGRgc7/H7Y0WvYFPwdaolkzKo8GHRAg4SJKEBBQsjaXZPFdXKuiqzE5zQLvv8s+3DiCRuL5e4Y+/t8JH95o82OmK/l6S0GwP+R//9i49x2exnuP6hRrXVqtoqoyhK6wviAFC1wtZniuwMlskSRI+utdk80AMIyzPFLiyWhGE8s0WYSgUoy8uldFUmeOuy/30/pZm8kLk9UuG74f8zT9vctxxKdg6f/id5S90ELvVc7m3Je5poZFjaUZwD0a5UwJneFUAp8tsX6Ww0BRfDyQJyBJZH9ILIv7yZw/pOQG2pfKDN2b5v36wh+tHrM4V+fb1OguNHEGUYGoKH90/FuKoskwUR2wf9hkMA1RF5o2LNd66XJ/I26sFU7hpGCqH7aEYFEeIsN56eMxec4CiyHzn+gxwIspaLZh8/+Y8rh+mwxgncW4cxyiyLHh2Epkw8Qin+UArs4XUUU84ll5cKp3w/YA/+PYyR20HXVfxvAhZlvGDCFWRaVQs3rsxS2/gUyqYeH7Ir24fTOT2I96FZagszxY47rqYuhh8ufWgmTptJE+tPxq6kor7cMbFww8iPrp3lN3TtbXqM9czp5hiiudD9GSDy9cG2wc92n0xjOr6PZLX0IljsVHg0kqJdmcoBDTs812dvwl4/b69KV4Yu80BQ08s3r4jJl1HSl1RlLDxDCrMbqrADyJh2Gs6HLSG+EFEEMYctoaYuoKVKuHomsx8bbJAF0Yx19eryLKwLp+pWrx1qY5tqiiKRDl1EdB1JSNSG5oiFPQsjXtbbTp9H12V8cOYTx4eoyiCiDLCo70eEhIDN6TV9ej1PVpdl+7Axw9iekNhvVgrWZQLJmZq4aipCmsLpawxaxoKMxUbWRaK258+bJMk0Ol7fLbZIopi9puCQBcEEZqq0On79J2Agq1z2Bbk+JW5E0J4kkAymlmJJ8l0UZwQRQlxJBw8Zqt2Nm1WyhtUCiZJktDuuewcjn0Px06W5NVKBlJalNEU4d5w3BFT1GEYc3+7M9HsyqfKzNMBjlcDkiTR7vvIklDV8MMoIyFDwuGp9ZYglLRlScbQVfaOHJodl6OOy2Doc2fjmN7AZzAMODh2UGRJOG+krxiE4pkr5g2CSNhnX12rkrdEkWJxJsdbl+ri5yWYrdmEQTS2d8SZWtQ4fn37MLP23msO2Njvc2GxhKrIPNrrkrc06mWTo/YQTVF482ID01Dxgzh93YTNgx71is162tiWJPjxW/NZ46ZSNKgVhaPOOJlirznAccVe57hhRuowdJUkIZtiH8ej3W52D7tHA1xvUnXjMFUeBTLl0dMII6EoOsUUL4q+43OQrq0wijOFfEGwf74inWmoWCkRI2dpKIqcKchmfydL2KaGoSloqsJs1aZaMrP9pVwwyFkaYRQz9EIURWKxkefOVovjrkvO1PD9mA/uCPWsOE4I45ib69XsOt5YrxHG8WOLjH4QnSFggCCJRenAZ7MtnDFGShrN9pDuQKi7eb5Q9L314JjuwEdXFQbDgHvbbVbnC+iaONssU2VtvpQNRThuwP7xUKhelG2OOy6OGxBFMTlTIwxjNvd6PNztsNcU30m37xPGwmrVTRXn/CDi8DFqcvO1HKoi44cRliFUUMNIDJfmLA1VVaiXbS6vlJFlCccLSRKwTZUwjHm428V7wT0lCKOTAdlzULD1TGlUliWWZ6ZOXF8VqilZMYoTZECSJe5udnD8UDT0IzKnK1mS0BQZWZbQNIkECUMT6i7i2XMZOAFDN6Q7CAjDGC+IkCQJXRUuV2fULhv5rOiXtzWqRZOdw352Zrt+hOMGvAoY379OI4riF14fU0zxPAjCWKhMJyKPO60W9UXDcYPs3InjhGbHZXW+KBoQQYyhqdzf6dBzQhIkXD8iiiWCKCYiodUd4noBQy9AkiRMXcmaNZcWi0KRXlfRdZXFMXXV+Voua5LYpkq9/HqptbzInrCx181ijYNjRwzCvWKI4wTXD1+5Zq2pq4K0hcjRVuemccTzoFo00bTUcVNVsMxULQ6x/qzUeSsIIw5bA9FwTOCD24fIspQSMCZfM0lOiOADN6DV85BlmTiJz9T6ZBkMQ0VVxfovpjWho07qtqGrhFHCrz89IAhjgiBmrznED4XaXhhF7DQHglSQwMM9QX4878yer+UwU/efgqVldauERChbpz+vKmLIPIoTwijO6g0Apbyeir2o6NqJEArAcdelneZMfhCzdTCZ6yuyuK7nbXiejkFsU/tCBjgA2n2P466o0WVnzBRfSxRtnUvLZUDE/HZOJ5FE3a8/CHm0I9bmXC2HoSkctoe4XoRhqMSxzO7RgI/uNXHckL7jc9R2uLPRJoxEfbfddVNna7EYRQ4ozsLxZ3g0sN8b+hweO1imiiLLtPs+kgSVVAFf10TM4PrhmcHvrYM+QShUJeNE1N2HQUghp7FzNMjWnmmo3LhQZ6Yi1GR1XeGtS/XHfkbhOef3eL1ihBtrVew0l7ctjZsXqhO/k12fKoQf+sMATtXjz8MoN/8iBjhgso5x2BrSG6nSTzHFK4hX5Tw6LVw2wnnrMwhPau9yWtPUVJlW73Q80Ofg2GGQxvdDN+SDO4dsHQihqCCMub/ToV4xM2EqWRZDoytzhcwhZL6ee6y74L3tNgfHQlV479hh/9ihWhQ11U7fR1Vk1uaLbOz1COMYEiikTuS1skW1ZGEYCqapcGGhhKGrHHdcOn2PetmmUbY4bA2zHMUPoqw2ex5+ffuQoSditd2jPpv7fWarOUr5x7sMmYZKFCc0Ox7FvIGmyTzaO3kOXC/kF5/sZbnwT3+zQ6vrUi2aqeuwz+JMjmJeF3vubCGrMyecEE5HysovE4ctZ6K3s3NOb2eKrwaDYcDtjRYA71yZDnF8GfjBm/MUbJ1mx80GZqb4euDhWB97+6BPfxjg+WGaR4gz4KDloikyIGVuewVbJ2eKPkDOFlyYmWqO79yc542LDW49aCMhXPo29wfkLV0MDpZNFEUMXvpBRBBE+EHEw90unb7LXlPspeN5/0Ijz5VlIU62czSgM/DopryZTt9jY6/Ho71u2hcUwo+OKwStHu6c3N/WQf+5++2P6zXCZN4x3su/9aiVcWh6js9H95vP/b08CePcg53DAe6Y48eoh3seLEOo9QdhTJwkZ4Qnz0OSCLGuqWDbFADFnJZxBBRFTvt+4vnzvIi/+tkmjh8SxTGP9jo0O2J4oV6yWJkrUsrrKIqMIotBiyhVLB7VCk7n7Yp84vL9aLeLpiroqsLdLTFoLQQgQvabDklyUu9eaOTI2cKlopg3JsSzNFWlmNNRFAk1dR8ex2k+0Ad3DrO++HFaLxnPHwDqZZuirVMtmRRTgdiR866pC3dhXZXP5PZ9x59Ys3LqLJy3dQ5bDo4bYuoqQZg8Mc4Mwpit/T6GlnL4uq6IpREDHZoqT9zTaJ99Vow+25e9D0z3oyleB5imyng5UJHJ+iWvE+7vnPR+/BD+fz+9+xKv5sXQbA9RJYlSwSKMoNlzX/YlvTS8fk/gFK8c+kOf+9tdkiQhb2tcX6vwxoUafhhnxLMRjtpD7u90GLohxZxO3tbSIY9RE1pivpbj0lKJgq0/WXVXkihaGsuzBb51ZeaZ1CSSJGH7ULiP9AY+l5fLmSL3CIam8OalOkF09vqfBzMV+9wJ2ZEiQRgJMs3ZZnKC44U82utSKZrUyxaLM3nhLpLArYfHNNtDtg76LKbKqeMN/FJeTCz7YYypyxPKPActRxR8/ZD1+dKEUtsUry4aFZFQSLJIfEbrzTbFd7+x1yMIo0zBAQSxef/YSRuGJ9acKf8DCTHAk0gJszWbYk4XDhQzBZZSxd/xNbA0k2O3OUCWFEgS2gOfKI7ZPOgTRTG6pnB9rXpuU2OEoRfyYLfD4fEQx9Z450oDkHj7shjgGIwRp1w/ZPOgh+dH1Es2b19qoKcDTVEUE8XJC6slfRm6M83OkPvbHZKEqdreFF8ILF0VyiyNApoqI33VU9OS6LDJkhjcuLhcplIwH3vWBmHMrYdNQTrRFP7ljy8A8HC3w4d3jrAMcR6Oq2jc3+5wlA47XlwqZ0MFXxRMXeWtSw2CKGbvqM9H95ogwfp8iZx1sldZhsqlpTILM3kebJ8okZ8mx+mqjK7KaKrEwI2olUwqBeuJhK6EBAkpdfgQKiXrC6UJcmwxp/PO1RmOO0MepIlWf+izfdhjMAyolUwuLpWf+b63Dnpi0FOC1bniudatAJeWy/ipI9nU5eCrg2WozNZy+EGIpigcHDvsHonYVJIkAlNlvpYjihP8IEwVbiNkSSGJxYBjuyfcuQq2RhTFBOFoOEjHCyIsQ0OSZc5rk9umxttXGoRRjK7KE0o0rwvG3bOqRTMjx00xxdcRkiTU2ZYaeUhg+7AnXPlSm3FZFus6SRKSOMEPYzb2+6mSk8w7VxvIicSNi1VyloEXxEgIsYXxPNQ0VN6+LM7M121v6PQ97myKPaFcMLi8XH6trv9x8IKIWw+a+EF8bhz1srE6V2S+lkOWz6tpTPEk2JbG927M4oURmizTcXzKaV3qoDXE0BSGXsjQD5AlOTvNY+CDzw4Jo5icpXFtrZrF5rapsr5YIo4S/FCIDsSpKvKVlXL23mEY8zfvb3DUHqKqMn/w3vJjY8WeE9Dqe1k4IXQ/Rmvr2Zpw43tLEseEUUI9jJFlERO9eUnEJK2uyy8/3UcCpESaaKCIe6jgpep4T6r9SV9Ktj/FFC+O778xzxsXaqiqzL//h/sMnYAoAUUCNRXTGdWhu47Hg+0O3YGPLEHO1oRTbiLRH/j0hj5BGgMM3ShVohR19FbX47AlGlwrc4XMSVOSoFG2KOd1Pn3UYt8dIkkelaJBvWxxYfHkzHTcgE8fCUXc03vMOOolE0joD4PMNXccuirzZz9co5+SGPTHnF2tnsvdTSGWVC2ZXHpCzpu3df53P76A44fYunquCv0IjbLF2nyRasl86efTdEeaYorzMe4CIsvSuT260zg4dni414WEc120J/CMi28ixkhrY8Wcng4pnIjJPAse7XbZaw4wdZmLS0Xma/m01pZQKRiUbF24mykSNy/UMjG3zd0u3ikRljhOuP2oxYOdDu2+R61k0uy4tHs+XhBxZblypmfp+YIUFycJhqaw2+xz1B6CJFzTZh4T7z0OrZ7L7Yct9o8dLF2dqNnqmuhvlgsGV1YqKWFWmshVRj/z+B7oFN9UfHDnULgINPLP/VxO8WzQVIU/eG+J/+8/3OdvfrHBt6/PvuxLmuJLQLvn8eGdQyTEuVEvW/QGAd2Bh6rIzNdsykWTd682cL1IDCckCYkseo9XVyvZOVjO6xlHB8jESXOWjq7DpcUKf/vPm7S73rnX8rw1xZ7j8yDlOcgSeEGIoakcdYbUxwjcz1Pau7fVTl0/4dJSORvShMm8Q1GEW9+ol/+qQ3wET6+/jDtOqYrMtbWp4+c3HbIs860rMzhuiK7K3N1u4wxP6hE7RwO6PZ8kETl80dJ49+oMSZIQxQnX16qszRfEYEbKyQmjBFk561I7XpsvFfQzTjJdx6fb95AliUE14KP7TYZuiKbKXF+r8vblx/crLy9XWJ4tpHXEpzzTp/aMo/aQO5vtc/MHRZa4vlbFT8UqvkjXqud5JVmSuLZazWqeu0d9Ov0XE4OI4oRPHx5njikvax+I44TPNlt0U7flqyuVL9ThaIopvkhYpobnBdl/v45ITs2vvo65d0ySRTsJyTfajeKbfO/fOMzXctl0qG2qNMoWtZJIYhRFYmWu+NTXMA2V+ZQMLssStqHSbA+zBqsiyyAJW0ZDU84UEzf2hIppszOk3ROJZKfv83C3w2AogrU4TjhquxOEwm6qOBbHMd9/c55ywSCMYgo5ne9cnyOOJ3em1bkCqiJTLZo0KhaNai6zGg7CiGrRJI4Ttg76596nLE9ef5KIRvibl2pIEpTzBhcXS5mTyOpckZylCdXSikWlaKKpcuY8MI6Feg7LVNFShWTb1LKp4BGRsj8UyqlJknDUHmbN91bPpe8EGLpKMW+wsdfD9SNmK3bmsrLYyGPoCrIMxbzB+kKRWqqs3nN8irZOEERs7E+qMYZRzGAYPHEittP3OGqfrzg+xReHhfrJWq2WLK6sllFVGV1TaFTsrHAx9EIcN8zs+1p9j/XFErNVmyCMUGWZuVoeWREeg6vzRSRJQpYkdE0R/1PFs1KwdYq2wXzqaBMnwg1mNFE/U82hKCp7zQGykvDGxapoJHSHzFZsgjBmd2wa/J2rDSxDNDrmajnW5gt8ePeIIIiplkwcN2D3aMBcLUecJAyGAaahMlOx8PyQo86QWlpk6Tk+QRRnSaGiyE8c4Jir5bDNk73u8nKZarrXaaqcJWmOG2SOG6vzxWy9z9dzZ4ZRGmUL21Rx/VA4DJ2yAN/a72dJ6WFr+MqomE/x8pHtrY9RgBlH3taz5sVsLcdiI4+mytTLFsXcl5/g9pyAZkc8vwVbz1TsqkWTJE7w/AAviFis56mVTfwwwjAU3r7c4LDl4HpCzcILIjoDj87Ay9x1hl444VjhuAGHLQfPD/GDs4p/K+k5DqKYOp7g18Y+D0NXWGjkub5epVwQDd9CTufmBaH2OVrX+8dD8cuJsJe2TS1TkFYUibWFIo2yRbVkCuVRYGm2wIXFUkaAubpWpVwwyVkG6/MFDF2oboyURX1f3KOfqunsNgfp4KRQVT9sD/GC6Fw3IEWWaFTsLC5r9zyKOUPsh+3hGXXwKBb75mlloSCMM6eu0b2ehuP6HLYcwlAM4E0HOL5aSICmSBiaiqyIMzlnqsiyjKbKmLpCMa9TKRpIipypbUuSGOoYOD66Jn62XrSolU1MQ6hS24ZGtWBi6hJJanV+HpQ0zh0VRBfS2BHEUNGrrsA/smAHoagzVbid4stEFjumlt1r80/PmT8PbFObyLdX0xz9uzfnyNsacZKIMzARhGjTULB1BduQCeM4a0Zqqoylq+weDqhWbC4sVlmo5zF1BV1XWJ0vnWlOjHJg7xVy5HkWbB30sz2h3fMyt66nYXW+mCnZzlZt8tarVaTdaw4eG0e9KtA15bUsCr9szFZzFHI6tqFRKhi8dameqsfLLNRzKKqcucUtNFIitixxcbGYxX6DYZCpRQIszxZQZYkojinnDXJpPiynJO8RHu51ODgeMHCF2uUHdw6yelu9ZGXqb4auCJfXtPUop4RzQcJTWKjlGQwD+kOftbnimdqfqPmJ6xvtLaahsdAQrj+aqrCW7kOGppC3NMp5QziNqCIu9oOIwTAgTh3KwjA+k1NVi2aWA+iazOJMHtcPn2kPi9I87XFKneMYrx0E4WTt7Kjt0H2OWKScN86tTzwOz3o/U7y6yNtC3fHHby+gG0KMZa6e452rJ+rTo3VSKuhYuoKmCeGildkilqGKMx6JRjlHECZIknBfLuV0Bm7Ao70uD3bagHCfHZ2LUZzQqFh0+h6yBGvzBWRZwvVELdHUT2prO0cDwvBkj2l2htnzvTSTJ05iOn2PRsXmnasNCraOLEssNnLMVu1svYr7kSna+mMHOGCyjnbccZ/qiKWq4jVVVcb1QwZDsY95QcTSjKidBGGMZSjUyy9ngONJdYwppnjV8Lzn0ReJ/jDIXEDiOHkmF5CN1B0RhIv2yHkIQFNkgiBk6AYYmsJSI0+tbKHIElEUY5mCXLo8mwdJuJLeGBNeM8ZqY0EY4/mR6HOmEO5oTtZ/A7i4WGamaos4xtaQJFFrKeQMXE84AwlHoCIXF0VvR1Vl1uZL5C2dgqVjaArL88VsMK1etijlDQ7bDodth1JOR1NkHu520VWZckGn2R6mqsPBhJr3TNVGU0U8ZhkKzmhPfYwr+QgFW6dWMuj0PYIwYnWuQBDG3N1o47ghCzWboRcQhBE/+tYCpYKB64eoqpz1mjRVOTNsvlDPoSoSjhtgpD2fl4lGxaaQ7smmoWSCZ1N89fjnW/sAvHtt6sLxZeKPv7cKwM8/3qXTP594P8WrjVE+PFIz7zs+MxU7q/cnSZIp7M9ULWxDRdNkrq5VsS2dSsngykoZQ1fRsrNKQpNlZisWD3e6HHcE/+SPvruSnnsJF5dEfr+x38M2VVRZpesEfOf6LPmcLob0FouU8mbWN4OTfGZUf0iShFrJRNcUTEPk/LYlnH8lTgY0uo7PiOJjaIo43yVYms2fGaZ8XK9V5C5u+r6idzCO8bzjzkYbJz3PD1tD1uYKWTxUsHXeuFD7XN/baYxzDxYauWd2+BR1QCG+IUvyU2Ol446bOU6F0ViPcIpvHEb1uFLeoFYysU0V01T50x+sUsjpuH6AbWq8eaGKREIUx5i6wkzNIgyFYJyZikxahnClvXmxTilvEMVC/HVpJj+xHsdr852eL9a5BEgwX8+jyoI7KMnCVXzontTXdpuDM/1KLxC9CU2VWZkr0B/6OMOAtfkiYRinzhf+GT7Q25caWUxaLZl0eh59x6c78Ng9Gpxx9xnxGc8b4Hhabp+k3CY/iM7Emac5RON4XK9pdB2z1cl7Gt9nn+W7Hwnmvsx9oNMXDkwAUZSwdXg+H3OKKV42dF2haKuEMYQxlHI6ivJiItIvEzl78pqvrz/eEflVRaNkZftgztIol75Y4d/XCVMnjm8Q9FTZy/NDbm+0+PRRC1mWuLpWpZgmb8+C5dkCi408f/2LR/zt+xt0Bx6zVZvv3phHlqVzVbhGkGUgSpvI0olK3unGyngD+PbDFu9/Kmx752o5fvT2PN+9MUe373GcKvFuHaoTij15W+edqw3iRBRPozhBkSW6fY9PH7VO3ucZ7jlJEu5stgWZVYI//PYKABv7XaJEWDQrcqqgE8WZVf3jJnZ1TeGtSw1cL/0eHh6jKBKXUxXyUt5AkSWS5KTZPvo8Rn+Ok5jtgz5DT6gqHLUclmYLzNVsQbYFNE0higSB7+JSmcWZPM3ukL1jQf4YDyAdN+DThy3CKMbQFG5cqJ5Jjm89bPLLTw8gEYnmT9LPYYovHpoq1uroeQJYnROKFJ88OCZvaSQJdFJ1PkNXubAghjeWZgt88qApLAwVMWxgGSpXViqZYlIUJyCJIDqKYqFamzcI45g4jgmChE8eHqcEXxlNk9nY6fOXP3+IJIn1tTSTZ+9owMANUGSZNy81JtZTrWTxb39yBT+Ms6atlt6LZagYmk0+p7Nz2OP9T/aYqQjytKbIqJqCIkmE0Qn59FnW6giqIvPGxcnP79JSmWjhZF0+2Olw2BKk7uXZAvP1HO9dm8n2jNMYqWPpqkIci+RnfJDktEnCizr4TPH1guuF3Hp4nKnk37hQw3iKg8zafFGoSqSP0OOeyS8DSZzw69uHdAc+kgTvXp3hzcsN/vYXj2j3PFw/ZKGep1I0SBK4ulrF1EWj83QMcd6aHV8XEqLpOiJqrJ4ixRZOnePjUGSJa2vVM2ftv/zxBXw/RD9VCJXTYtGkirBQkF6aKWTktjhO8IMITVOQEE1a2dL4o++uZHtZGIZ0+wF//5ttun2PMD6xJv2rnz/C8yMMXeFPvreKF0Q82OkSBBH3dzrMVXN0+z6L6bDcebi4VGZtISEIo8yVI2dpvHHxpHgchBGf3D/OlDnG1TTktPAzKkqf/hq2D/v8b7/eIooSSnmdP/3e6pnPa4ovF7apcWGxTJQkoliZJKi6TJxIYjBKU5AlSbix7Pdw/BBFgjiGo47LYculVBBDwKtzBQq2jSzJGLpCOaezsddh+8ij2WnSHQS8d3V2QnnqPBiaGMZ6Uvz6KuH0/vI8McIUU7wI5uuCnCidIkN/WVieLbDQyE+Qr2drOW5eqBEEMQ93uwy9ED+MiaIEWZFx/RgJQVIiiZEklaEX4IURv7y1z+Z+jx+9tcDKXJHFRv6xserOYT8TOpip2l/60MoXgdN7wLPuYwVb592rj4//XzbO7HWv4DVO8WLQ1LP56kJdxIcjskEUx2nemXBjLRSKc6fUoMa4hQRhjCRJ6KpCGMfMVnPMVkUsODGglMDdrQ6uHyHL4HoBB63hRJ1nFA/86nZCMSdqbO2+J9xBJQlZljjqDIW6M5AztQkV3X/8cIf7qbvdGxdrfOvKCUFraabAQj1/Zj+V0/j+4nIZJXX8+ODOIUkCOVMlkcAZhkJVM3UIhBMF7dE1j6t0P0nZ3wsiPrnfJAgFyfLGE1xFx2sHtZJJu+8RRQmmobDfdNg/dkCC967NcH3t6YQPSZLO1Cceh73mQIjhpO/9PO58U7xacP2QvabDj95cIAHevlRH10+TkhJypsbF5TK2ofLO1QaHLaFSf2+rTc7U6Dq+GIRSJCxLY22+yPu39vnVpwcAzFQO+G//6CqSJBr497Y77DcdOn0hljRTsVmZK7Jz1OfBTpedowFvXWpwdbVy5tz52W936A4C4fA4W2TrsEcQxrh+yJ9+b5WVuRJJktB3Am4/aon1amlcX6s+05l1OqR61mNurzng0a64dkWWmKvnWJ8vsTxb4O5Wm6EXcXer81KcuZ5Ux5hiilcNz3MefRnvPY5n2TNkSSIeFfbG4oi7Wy3+5v1NOj2PYk7nj767gqrK3HpwLOIDVTji5i2N331niSAUvbzz3rPn+Nx+1CKOEyxT5fpaFdcL+Zv3N+g7Abom8/vvLTNTEa7mf/zdFcIood0b8h//6VG2jxbzOu9dm524t1FfRpZF/fHTVC17pBheTHuCok93zOZ+XxDXZguUCwalvEGr63LYHrJ12MfSBalr5L5UKZj88K1FgihGlmDon5DUnlQzCcOYO5sdDloOsgSlgoHnR/zy03029nsUcjqlvMG/+f1L2JbOrYdNtLS2HY31bk6jO/C5t9XFDUJ6A59Li6WXOtimyBLX16sT8fcUXz2iOOHnH+8B8L2bcy/5ar7eWJsvcmm5zN3NNn/3yy3+97938WVf0hTPgWZnyP3tDkkiBBeTJGZzf4CmCvL01ZUKd7ba2T5s6Rpza8Ipdb6eZyUdzJRlib3mgL/75SZRlKAoEosNm//nf7pFbxBQyutcWamw2Cjwr368hh/Co70u//d//zESMFfN8XvvLqHIEusLZdbmS4CI45+0l454NTuHfbaPBtRLFgVbg0Q4V7W6HusLRZAkNva6WR5QsHXevFQT4lenzumhF3LrwXHam5e5sV7LevRn84rJvxj/oyRNKhwbhsqf/3D93L7iF4FKweS9a0bqpvzs8daZe3rK78pTjsIUTNbjbl6o8c7VGdbSWP+oMyQIYwxNJUoSJFlmppoTTpymRqvr0+4fAWJoYX2hlNXv4jhh+7CPnnLHuo7P1n4/45Wdtp4Y7yk0O0PR66jnkWTOCD2cflYPWg4Pd0Vdr1I0+O29I+6MuH2SRBDEtHoekgQ/fnvxTH31naszWY3wf/7Pd7i31QaEgNO4kMbT8KTcPkkSbm8IpwlJgguLpeeKM5/UazqvZvysOE+w62XgWfgiU0zxKkABWmMuYyOhidcNUjLWYwGIXz8xqGLe4AdvLhCmvRr9NRym+aIwrVZ8A9Hu+5ladhwnHB47z93USJKYD+4cAqJhu3s0IAhC5us5cpZwluj0PbxTE63rCyU0VWa2arM8W0DXxH+vzRcp5/VsqnZpRjSwe47PL2/vZ8TLveaAOxttgjAmTFWo232POE7YPZqcJpUkKQtWRv9fzBvM10Uia+gKq/OTCkPtnsvmfi9T0QYYuGGmRk4C+y2H/ZYDSCiSxPZhn882Wrh+mAVTz1L4bvc9vLSYGoQxD3a7zNVy2QTuTNnC9UOWZ/MZ6bdSMGhULPpOQN/xMTSFVt/jUTqBv9d02D4U086KJDH0wgl1RlNTxeeiTNob7x87mfqg4wXc3+lMKPkAfHSvmX0PO4eDqSPHV4Dx4FxJp9TX5ouYuiqIButVZms5JEkozy/OFGh2XFwvYqZqo6oy3YHPbNXOGgWuFxAEEX0nwPNDvCDGD2K2DgZ4fsTB8ZC72+1sUrs38Hm02+OjB0d4QYSfKn78+tN9oZIpy9zb7qKpMjlLY3O/x96YI8d4MvatKw3KBQNJSpX0bZ3dpsPQCzjuerT7HpsHfRRJol626btCEbTveORewL7sdHIzWpd+EGUkDBCkZpjcM07jqCMU9GVZIoxiQdQYw/pCCV2TkWWJ5dnCM6tpTPH1xkHLyZyWgjDm4PjZ9s3Rej/vmXTcgE567r0oXD+k0/fOqM72HD8dIBTOWp2+x/ZBNzsD2z2Pjf0u3UHAwbHDwbFDd+Cz1xwwU7Wz9V3M6czXc8zXcxRsYcVcLhjMVE7IXXEChiGUNVRFQlPOrr0nrcnR53QapwutQrEjZLEuCKta2rwdf41RDNQd+PSdACX980ilIoxihqn6rqqqbB72cVI70jCM+eTBMbc3WtmZ7vkRtzdaqeuRTIIYXguiKFNHP42hJ76TUXFJVRW0dDjG1JUJ+9mRo8fo2j66d8TukdjHFEXcn6JIqKkjGIiiUqfv8ZvbB1lxv9P3ebj3dLXDKb5YLM3msUwVVZZYXyhyYamMntr1un5IGMe4XsTG/oA4BktTiRNxHluGCrJEszOk53jc3+6wud9h4AR0eh7dgcf2kUMQxSRxwmHH4dFe9+kXleJ1IRqtLxRT1zmJhYbIPaaY4suGPHZefBVQTr1fszMUZ6YqESSxGMpOEqIoptlycIb+ifq1IqdOVxG6KjNwBXF0c7/HbnNwkvOGZ9Xnt8eUkQ6OnQmF21cVq/OFbE+Yr+eeixz0tFjjZeJJcdSLIIpFLDBV9H91MJ6vyimZcKEu3LG8ICJva5RyKpsHffaOhzQqNpoq43gB5YJBOW9k3+nu0YA4TpBliSQWCtOqKmOZKitzk3UvM3UC0FSZw7Y7UefZaw7oOz6uH3JxsYSWKlN/63JDKForEpapctgeZvnKnc12tp84rp81jAE+vt+ceO8kSeg5Po47WW+yTY3FGVH7snQNTZWz+He/5XCQuuolCWdqf3ASw2wd9rP7Oe64E4rZ4zgcy9PCME5rfGfhnaodfPygmcXSB02He6N7TeCTU/f6NDzL3jO+J4taz/n3M8Wrj8PWMHvmJEStAMAPYx7sdHi028UPIqIYgiBCkSVqJeFA2el7zNZsZmsWczWbtYUic/U8MxUb14v4+O4hmiJkkg5bQ0iEm/P2YZ8wrc+DhGWoNDtDhl6InLIsPD9i+6CH4wYszeTJWSM1eZEvApDAP3wohABkSaLT99nY74m8VZHZPRpk63UwDJ5Z7XltoZS5YC/O5DNhgqdh+7CPlyoTdwc+QRAJgthhPyMHtHteVtccYXRtSfLitZRnwascW0wxxXl4Gc9r3tImenTPMjh+YbEk1KhlifX5UiYK9/G9Y3rpftUd+NzdarN72D+JARLYG4sdtPQ1RkiSRNQDhyfxFMDQDTnuutzf7mTK1n4Q8+mD4/S/o9QBMKFRyfHGxTqKImEbKt+7OZfFdiOMhje29nvcenjEg50uAzcQsU2qQAyiv2cZGsW8ThDFdAZCDEaS4Ljnit5rENMd+PhhxPZhnyRJKOZF3qCrMnO1HDfXq7h+SBDFWW3wPOw1Bxy1h+n+KfGLj/eIoiS9toQgiJESMRTS7AxxvUiIb4UxdzZbj80tbj9q4YcRsiTheCF3NttP/Y6/CkwHOF4uPn14THfgk7c0bn7BavdTnMWffFcIMf71Lx596fHPFF8sdsbi60e7XQ5bQ1wvpNkZ0h34HLSG2bkoHJGE26UiyxwcOySIcydJEv750336A+HetHc04JN7LVpdnzBKaPU8fv7xHkEU43hin7+71UKRhNDoUWdIs+OkwpIJqirjhyE7R6Ju4AdR5uQ0jhGv5rjrksQJ7a7L9mGfQVoHyNsacSyEH9+5MoOWOu0tzeaxDO1c4vE4j8UPYg7bJ3m6bWoszeQzN5C1hclzbzzvePfqDPnUUXBl7qSXf94Ax8n9Pd2980kYiWE8D0xd1HJkWfQY1xcef5aDGBYduR/YpprxrKb45uB0Pe6TB02iOKHv+Ay9kPc/3sP1hTCg50fsNUVNIkhFSw9aDu2eS7MzZL85yDgxkiRx3PUYumEWz35yv8nQCxm4AQM3IG9pk7V5S8ti4UbF5upqhThJ0DWFP3hvmUrRSEVjtUzUZoSdsbre5l5PxN5i2oGffrBDK+UrJIkQvoXH84F6jieGtyUJL4hwPVETGHer6PS9M5y4ER6X2/ecIHOaSBKxZ593HY9DHAsHktNco4l7eIGYtVo0qZVMJEkIbLysfaBcMJhJh1QsQ80GC6eY4lXDXrMz0SN1/WhiqON1gTd2DzFwf+f1c+NamsmTkNDuu+QtlXp56sQxxTcI6imipHoOmfBpUBQFXVHwwghFkamVLb79xgJW2mz++H6TMIyFmt5qJSNSlPLGuVOuQRgx9CJsUxNkSS9k+7DPYWsoJt4SceAjgWWquH50ZkDjWW3Sl2cL59pD39/u8I+/3YFEBI3/4gdrgiwvSxMK3qP38Yg4bA/5+P4RMxWbj+81+Rc/XMU2n400MnqdOBGW0Zah4gWRsIKLYrb2RbO2M/CZqyVZg3x9oUSlYPDR/SadgU+v72cOB4KgOjmVpiijz0mmUjTE5wgTavCjawnDmI39Hj0noDcIuLJSoZgT96NrSkZQRTo/oZ3iy0fO0nj7SuOx/z5a37qqsDZXnJh27/Q9Ptto0XX8rLgTRhHdgVDVjJOEh7tdugOPZsdltmpjmSqKLGHq4hmRJJHsRElCL21gFHIqQRTzv/yXu3QHPvWSxZXVCt9/Y37i2vK2zr/88QVxLQOfv/rZQ47aQ3pDoSSoyDaKLIIMTZVxhiG30wGlh3t9/o9/eu2MUuGLQCSdJ0r1p/fE83B6fzn954KtTyiMTjEFnD1fzyPvPw/GlVgLti7UMp+z+Ncd+Hy20cqGCW5eOFGsMQ2FYk7P9v28rWNoJ3u9nJI0wjDi7mYL29JRFWFrd2mpzJWVypn3u75ePfc6FEWQUmpFCyCzB/0i0R8K9bo4FgXmNy7WnjhgdXov0FSZIIz55EETz4+QJLi8XMHUJl/D0JQzDiu6KqfFiSJBGNEZeBi6UBDyTxW1RwqpJCLGubFWJW9prI81Wcf3nPH//vTRMT0n4LONNitzBX73nSXqZYt62cp+ZlwVZP94gBfEmbXr05xhpvjiYeoqb16ctLLcbznc2RRDysddD9+PCYKIBNGInzNzDIZCodHxQrwwZq/poCoKh50h1byRxWVxkiAl4IUJkhvwYLfLhcVytq6/DrBNjbcvPz4WmmKKryNGe3+laFIrGOw3HaI4wQsiPETebekStqmhazIFW6fT95HTATFZEm4+ftDks40WJGII/M9+uD4xdK0q8gnJVHo9lJK+rnuCqsiPjaOeF1GccOtBUxDnJVifL9GoWE//xSm+cnh+SBDG2IbGwHH5Dz99RGcgGoOdvse/+YPL4t+GAZ88aDIcCbQkMfKYPeTKXPHcs9/Q0+ZZWhPbb50U9aM44f52B1WRkSThuvfuWP1utibcXOM4zmp+IOL60TaiyvJErj3uXpkkCZ9ttDJi+NJMnoUxh7rFRj5zrPtso5UNksuylLn4wpNrf1o6ZA2A9Hhi6unX0B7zmsqp2sFEHU1VJl5fVb/4uFpVZKJIfMdC7fTV35OnOB9nakqqjO+H/PufPuDBthDSSYCCpRPFMaqqcG+7g+tFwi0HWF8s8jvvLGFoCo4b8A+/3uaDu4d0hyEyokYgKxKLM7nsPWXp5BmeqwkyRd7W+M1nh1mNV1ZkFEVG15SMUNl1fG49amW18NM58Hjt+fRz+ax9hvxT6puPg6qkBOy0XC+nYkWSJOERTfzcCDtH/azOXszrXF2pfOUuHVNMMcUkHtejexzKBWMiLhlB1xRkGeJ0+euqcqZ/8KR96e5WOyNqxHGMPCZlrSkypnGq3qeLPfiTB2m9URFCW+9enTn3+kaI45i//sUGu80+nz1qIUkit7t5oZ716+CkNjlXzWEbKhv7PY7aQ1RVZnmmgCJL3N/pCIJuSiw7L766u9nOaqA9x594j3EYpz6r0e9Yhka5kFApGNimhqEpxGlAlKT9TNNQ8cOYtfnimYHz0zXw0+8zxTcTP/toF4Dv3Jh95n7+FC+O331nif/b/+cjNvZ63Nlsn9u7meLVhDp2FsmyhIzEQcshSkRPb6ZiUSmUqVw1SZKEX356cCLsIkvI0okbxtZ+jwc7XSxdJSGhPCfqBK4XMPQiFEXil5/uc2O1mg1pS1JMzhJDIZqq8GCnS6vn0Shb/OXPHxGGMXGSsDSTJ2/p2Vk4crcc8WqU9D5kRZxXo/zZ1FVuXKiRt4RIbLvnYepClHI+5cOc+UxO5xyn9pCFxmR9YRwvknec7i3eWK9+5eKNc7Ucc2kd5mmQJIkLi6UnDm5O8fXG6XqcosiibpjWgqNToo5IqdiipuL6IVsHfbqOiCerRZNv3zhxzDq9/hIEnyhJhMPP8myet5fOX2NxnGCbJ8ObkiRxefnx55GiyBCIa9VTYZkRLON0XeLJsUTR1tEyNfeEB7vdTOh6tmbT7gpBakmCKysVSvnz4+XTOLMfnbbCeQr+/ldbmYjkldUK373xxbiTSZLExaUyr4L31tp88bVweJ/imw3bNBnXzE0SqH9OIbVXAbXS68cHOWgJFzohKHHMylzxpTp5vkxMs+RvIGoli9mqUPAr5fUzU5idvkezMxTqnk/An/14nUJOJ2dr/Mn3VrHSAua9rTbdgVADHrrBxDT86PWPu+6Einire+LakaTqOAfHDn3HZzmdujJ0hXevznBxsUytZFLKG6zMFbAMQYrM2eozq32dhxGZBaDvBGwdCKKsaaiszRXRNRnbVIVq8mKJnKWx3xxQyhmoikzX8fnw7lGm8hOGcaqQfL7Kda1kMlO1CaMYVZGplUzh9HHsZNPPAN2+f0Y9UFOV1KFDplGxmK/nMHSFS0tllmcLlPJ65nhSK1np78iszZfwgogoirm4XM5eb6Geo1wwcP0Q21Ip5XTiOMmU4QB+9NY8hZyOZSi8d22G4jd003zV8aT1fdBySBKYr4nnpZg3mKtaYlBDlXHckKEXUMob5G2NnuMzX8vx9pUG33tjjuVGjlJBp142ubFaRVclbEtloZbD8wKaHZcgjPGCiLtbbeI4JkkSWl2XVtclSRIcN6DZGeL7IbapomsylqFg6kIZ4o2LNXRNRlNkNve6mcrlYcthM12TPcen2RmecRF4VqiKzMWlslD5NFQuLZWf+juNskWjYqGpMuWCwUL92QonXwTiOOG46544Ak3x2mCumqNaMtFUmWrJ/NwKyvtNh4Eb0B14tPsuzgsosR60nOz8dYOI+9vt7Oysl23evlzHMhQqBYPv3ZxjebbA1dVKdsa8damBH8aUCia6KmNoSqo893wwdZW1+ZOz9csoLh62HNp9j53DPt2+mzlTDYbpPnTKLSxviz1TU2Xytka1aPJgp5OpyiUJ/PzjXbrOkIUZoZI8V8vxzpUGN9drQj1YV1icyfPGhXp2tiqKzEzZppTT0XXlTLF3r+lk8cfQDek6fhZn6JrM6nwxK4DDyX4kyUJhtGALxdKNvd65iiFDL6SVujQsNAoosiy+z+UyeVt7oe9vis+P8fOx1/fSgUkVKQFIuLZWoVq0MHWVty7W+ePvLhMnCYaqoKVOWCNFLVVVsE2VYl7n+noNy1BRZCgWDMxURWeKKaZ4vVHK65Aq59dKJvWSmTU/NUXCTK3LC7bGQqrSfXGxhKbIGJrMTM3GNlS2jwZZ06Y38NkdU3kHuLRcxjJUDE2c+1Ol0q8H+uPOBwnsH39xajyj+tHncYmb4gSH7SHDNN5/uDcQDVRJNOK2DwZs7nf54O4hG/sddsfqRpqiULBFHWihkXvs8OZ4bF8vW/w3f3CZUl7UeS4tnahaJwmPjR9kWeZHby1gWxq2pfHDNxfwglg8Bwn88K0FbEOlYOv8+O2F7PeE89xJ3Ln3BMW51fkieVs4clxZrrC+UGToBciyxOp8ke5A1ARON6EvLJaIkwTXD1mdK04MkYxjpmJTG+VpRTMbUDkNVRHOdqPawfduzmX1tvWFIj/+1gKWoVDK6/zorUkRizCKU/e0p8faWR321P1cXCpjmWJPvrBYOiPaMsXrg9mqPVEbmKvm2D4acHgshjK7TkCr4wq12gRypsrBscP+8YAkSUiShO2DPnc3Wxy2hzzY6bJx0CNJYHmmgCzLSDL8i++vMl8XpOj1hRKFnM7KXIHFRp5y3uDScpnVuWJ6xkvkbZ1rq5Uzw/1FW+e9azPZ8/3v/vAS9bKFoStcWa2wOi/ECpqdIY2yla3XxZl8JhjwLHjcWn4SLi6VKeUNFut5ygUjdefLo2kSjhcgy5zJofefUmcHMcjW7Aw/V29hiimm+OrxgzfnWFsokbNUrq5UWF8Q5+Wojn9e/zNJElo9l/3mYMLFHkmiOOqr1WwqRZMLi2UuLpUwDVEDfPtSncPWSewbRjFHncn+52kkScLdrTab+132mwOCKCYIY2RJotkesjpGcFpo5DOn44PWkGT0PqHos/SHAbqustTIo6ROrbc3Wtnv7x07+EEkhPFGf9d8fOzfqNi8eemkFvwn31+hlNd582KN+XqOWsnknaszWWxpWxpBFAthv7F+5mm8fanOQkP0oFbmClxbnZLHv+lIkiQb4jgt/jbFl4OcpfHDNB/7m/c3XvLVTPE8WF8oZr2hb1+fpVQUPfta0aRg65mAQKvn0up5XFwsYegKkiS4J14Q4fkR7Z5HtWiJIXAvZHm2wLW1GjdTwZCcpbE8m8fzQrwwYqEhnJwsQ6Fg6awvFinmBKm53fO49VCIOcRxzNZBj4/uNYmT+MxZOOLVLDRyVAqGIHhfbjCTcheWZvPkU2ft8TPqcXE6wHw9j22qDL2QQk5j5ksWJjkc66OGYTwZL7xE9FN+xOd1B5ni6wddV7PzVZbhW5fr9AZ+xtdbniuyPCvc3RYaea6ulYmimN7Aw9Bk3CBEVWTUtOfYT/vonb5HpWgyVxPrt5jXma/nyZkqqiKTMzVkSXosd6c/DCZcMvePHbxA1BLOc3S7uFjK+ENXViv8yfdWyZkqxZzOf/OTy9y4UMPQFaolk+++8eThhx++tUDB1rENlXevzjJwQ7oDj4EbcH+7M8FNfJIrxmnYpsbKXAFdk8lZGusLzz6s0HX8bIAD4M5YHD/FFFN8xZDB0k+GsixdwnFePxf7+Xouk7+yDJmZ6uvnfvPZRivjhXp+xIPd7ku+opeHqZT+NxSr88WJ4uAIWwe9LHDIWQ7X16qPVfm+ulLh6phyQ7vn8dlmi6P2kE8eNKmXLFRVpj6WSD3a62aNk4Ktc21NKF9p2llllv2Wk1mRrc+X+Je/cyH794tLZYIw5uP7R3h+xMPdDq2uSylvMFezWZl7/slO65SqTm7Mxn2majNTnSTf3rxQo9v3uLfdIQgjjtou9bLFR/eOuLJS5qcf7mZJ3aXl8pnClCRJqUqNxUf3mxmBU1eFqX04poB6epJYVWVWZossz4j7zJ2yn726elaxM0kSjtrDrDHXbA+zJFlRZK6sVGiUrQlr43FV1nrZ5l//7qswuzvF0/C49a2nhR3b1LgwX2JltsDQi/j4/hHtnsv7n+xRK5pUiiZLM3lKBYOL6YDDXDXHd28s8MGdQz747JC94wEz1RzvXZ+lN/CRFSWzUVRSy1JZlrm72c6aBooiieGwBPxAkIpNXRUDHLOFzA60kDP49OExUZzQGfgUc6J5UioYE04EpqFwc732wpaC1eKz23CNXHC+aiRJwu1HrYz4MVuzWX2B/W2KlwNZlp5pSOhZ0R54bB8IsqWhKy/k/jLa1+MkYWu/hzM06Q4C5us5lmcLvHmpwZuXJhUzvnNjju+MKUE82OlMFF0KlsaLYKZif+7Blieh1fP49af7xIlQ0V1oFGh1Xe5stSERZ+nNC7UJwspIsWfnqM/9bXGfh+0hy3MFfnlrn4Njh5ylUS9b/Hd/cR1FOfndP3hv+cw1XFmpEIQxiixlCiiWedbJY/zz1FVBEnucrfxoP1pfKPFgp4ufKqiqqnyu4ociS+wc9LMC+KXlEr/37jKf3G9yb0vY6y7PFpj/CofTpoB7250sTtxvOYRxQhwnwn0jpzNTsXn36izlgsHyXJH/x//6MQVLR5ZkHD8kCWNkGZIYVuYKFHMGSSJ+d22uyE8/3EFC4sN7R1SL5he6F00xxRRfLaIo5oPPDrm72SaOE/I5gxvrVTRV5uFuF0WWydsqtqVxdblK1/Ep5w0kJGxTZetQDG4cdYb4vshbGxULWZLIWZNnUsHWefNS/TFXMsXritP1hMcR258XG3vdTIAib4v60VTZ/PPB9UMe7fcggYHjpSqY4jMNw4i/eX+TJI1tf/KdZcqpSpxtas/s3HI6tl+dF3luq+s+th50GuPq2X3H56N7RySJyH9urFf5Nz+5fOZ3NPWUS8cTXt/QFG6si1g4jGI+vtfEMjTiOOGzR60srrVMlRvrtWyo7bjrIktiMPaoLcjl59U0ZVnKah1PQ61kZeIoAOXCZB3h+trZmD2KhJvfSOFvZa7wWAXN7cN+luNZpsrN9Vp2zXlLO+PgNsXrifNqA7apoSgyQzek1RmmgxgSSzN5amWLKI6JIgWHkO7ARxrAL70DrHRIykvXQa1kcmGhyJ/+YG2ibvWknLJetrgYiutpdlxmKvaZtXJ9rTbxfC/Pnrx2EEZ8dK8pyEOSIFqMr5Nnwc5hn62xZ398LT8JeUvj5nqNT2jiuBqOG/C372+k7pkSF5eKVIuTCpq6pkw4jZ1W7o3HHauAxZkTZ6Apppji1Ua5YPJv/0DEHY92u+wfOxy1h6lrduPc2PT+dodmR4jM7R87WT3MMlSuneqrqYrMD95cmPg7TZsc9tKfMmR5f7vD1sGAR3tdXD/CcUNKOZ25Wk4Qb8edvhQxKPrRvSaKLHHUcakUTGxTZedokO1lx70hm3cHOMOAdt/jjQs1rq5W0VUZRZayPs2zXN/blxsTzob1ks3V1Sq/8474cxQnJ0rOCEE4XVMm+pmnoesqP/n2yhPfd4pvFh7t9dhrOuiq/ETXmim+WPzkvWX+/pdb/Nff7PA//Os3P7dT/BRfDcxTcXy5YGCMOePZpsqDnQ6HqWNfKa9zcbHErYfHHLaGNDsuV5bLSBKQJORsjVLeIGdqXFgq84O3FijmdT7baANC7C1JRL+i7wRcXCqzUM/heCFxkiBL4lzJ62Kg79Fej2bHpWf4fHRP5a1LjTN1pvN4NefhaXH6CI4bMPRCLENlMAwZeiG2+WJ9yWfB6SH3V0FQ4aDl8HBHkBoNTeHmxdrU1WiKCYRRnLkuBUHM5l6PIBqtL4krK1UuLVWQZYl/+PUWzbQ/+Wivx3vXZjPVc1kWPIAgdcSYr+dYmStm/Lvtw/6E801n4LOd8gtPc3d0VRYWmmncmJDw0b0joig51wHDNjXeGKuDzVRs3jkVNzxrHDFfz/Ovf09cp+uF/IefPsjqiZWCMcEFfN5a+fM45YzDVGXBl0rJytaXuI9NMcUUT4ataYQR2QBEkIBtv4ZrUgIzdb5UZOmMa9HrAPvUNee+wXvjNLKbYgKjhA+EUvXjJt7Pw1FnCInY5GxDJY4TirY+USQ8GnPl6Dl+Zt1eKQjSuGWqVEsmC/UcpZyREbwLOf2MM0h34OEHMX4Q4XpRRnI+ak9Ow/ccn73m4Nxp3nF858Y8C40chZzO25frzNef3qx579oMizN5ZFkoB8xUbJIEHu32MmJenCT88tY+nzxo4p8zGW+bGuvzJSxTpVwwWF8ocWmpTDGnY5sqlqHy6aPWhBKYoSlcXCpjmyr5nEYpp0+oq58Hzz/5jJIk4d52m4NjJ1M722sO2Drsi/c0VWol87VqWG3u9/jtPTGM8Lph96jPb+8d0ep+ude+NJOnWjKxTJVLy2WuLFfYOugRRhFBEBNFCbIipdaG6rlDC6JAkCABzc4Q1w35wZtzNMoW374+y8psgbl6jt9/d4lHu11+9dkBg3Ttbe73iNOkxA9jDE3B0BRyljYRTDzc6XB/p8PFxTK2qZAk8HvvLlIvWRPOPq4X0R++ftOwz4PxdQuTe+gU3zxYulDbN3SFatF8qmPWeVicKVBL1btzlpapZD7Ps7W+UOLaWoVCTmd5Ns87z2lFPEIQxuwfOzSfolj3vAjDmFsPm3z26Bhdk1FVGcvUsoGMUbFo4AS8//Ee97c7Z15j9HnkLI1iTkcGjloOrh9w1HLY2u/x23vNZ1LW1VSZS8vizC7m9DPkndX5AuWCgWWqrM4LlaVnxe+9s0S1ZFIpGPzeO4uoqoyf3v/thy3CMCaKEyoFAyN9fixTo+9MqhpN95avFh/dO+J/+/Umnb449w1VoZYOFjbKNoszBaIoIWcJx5rt/S5HbYee4+MHEbqqkLdUbF2lXjKz87RcMFldKJIkgohdKRrYuvqVnZUPdzt8fL9J/xnWxbNg/9jht/eOOGpPnUSm+GajPww46pw4WaqSRC5VpCrmdAxdQVEkLF2lP/RRFYl7Ox22Dnr0HJ+8pdHt+2iqwuVlkWeausK712aol236js/H95s82Dl7Hk7x9YBtaqwtFLOawxdlZz6em/WdANePnvDTUzwLNFWhaOsYmsLSXInf/dYiMgm6KrE8myOOwU+7C74fCtU4CdYXJ7/TvWaf//W/3ucfP9x+6ns2O0P2jx0KOZ2FRu6560HNjpsNZsRxkjWBz7u3S0snMfGzDlH0Bn6mjgdwf2yvGrrhRK3vdE3zPJe6rwL9YZANcABnHIrHcTR2zafvZ4qvN2arNj98awFNk9PBDI2CrRLFMZoi887lBoszOfwwwhkG2KbCYcth+6CPpkiszolB/JmqzXduzp1bw7u/LeJzx52Mz8fzv6fV/x03YK85mMh92z3/RP01ebF8cnxdPO+z73hhNnDRdfxMMEq4HXpn3CYvLpayOvulpfIZgsb464FQ3p1iiilePxw+pvc4jvFYRZYlkRsZwtHs8phz/ZMwV83RqFiEUYyaunafh7ubLT6+f8Rus4+iSMxVc+RMjflajrmazeJMnveunSWhdfo+rh9SzOmU8gayLETiwujkfu5tdugOPEGqtTR2m04WXymKzOXlMjlLI29rXF45e1+j+O9ZnM4HwyAb4ADYOujj+RGuH6ak2ujMOfOysPUa9wi/7vjpBzsAvH2lMeGWNcWXi7cuN6gUDHqOz69vH7zsy5niBXGaQ7PUyE+ceZ2+z17TmcjLOwOfS8tlcrZGJW8wV89RLphIgOP6JOlwhmWqVPIGURzj+RF7zQH9gU93IARi3LTusDyXR9NkNFXC9QNmqhbz9TzdgU+1ZNEoTw50O27Ix/eb3N16ssr8eJx+cbFEz/E5OHbwvJDbD1vceii4NUft4cT9tXpfrnveXE2c9ZapMlezaXzJzh/PgvGcywuiMznPFN9s+EE04X572BlSKYreYd7S8IKIVtfl4V6XZsfluOdhqDKqImFoKoszeWoli3LB4NvX57IBDjhb05ofWx/z9dwEV+E0d8c0VOZrFrtHfe5utTnquHjeiQPGeTXE8Tg1ihMOWk66ByR4gdin2s+5B8TJZJ+8VrYm9tXlmS+XEyfygiYx8OO3FykXDGoli9/91sJTf3eKKV5VBGHE/rHzpXMcvywcD4bIMkjp/2Sg23393HkLpkaUxARRhKlJGTfzdcI712aJ4oRH+10qRZ0Li1+9uPargmmmPMUETF0lCEWAJ8sSuvbscz6j6S5dUyjmDBYawg5xnJxt6mqmNi3LEuqY6sNI/RrIlIRHv6ulCjLjMHTxb6oqlAlH0+aGftKIGVcSHCkCPm4y3zafXx1G11X+4L1ljtrDCRJoqWBkU7Qbe12CIOZXnx7wYLvDn/1wDfmUUnajYp1JAK+tVfn4fjMrrNy6f8yf/2gtm4IeOQl8ttFi50hMNx93XK6tna++qI1N9u41Hfww4uFul8P2ENtU+OmHu2IIR4I/+d4qjS9RHf2Lxq2HTX55S3xOH99v8mc/WJuY2n6VcX+7wz9+KAqYH9074k++t/rc6nXPCkWRM/JwEEb89l4TTZVp9wKiOEb1Za6ullmdL3F9/XwFh5yl8eHdQ3pOgCQJZ4CCrVPKm9l0P8AnD5r86tOD1Dmjy7evz2KbGiPxK02RqZetbIpyRFru9D1+9vEezbawUawULW6sVzF1jShOMHXlpGkgnVXD+LpBVeUJ5ayv+/1O8WQU8wZL6Ty4JD1ZvfZxUFLV2ZUw4oM7R9mzZerPFxJ++/oc377+3G+fIYoTbj08UaftD4MvzGXmb97f4Kg9zAY4LyyWASjktGywNAgjfnn7gIKlibOw5fC9MccsU1eza6uVTN68VOf//Xd3OGi5JHHCQVsMn/hBzOXlMpWnOPtUCiaVwvk/o6nKxP75PJit2vz5D9cn7/8Xj7JB0u2jHr/zrSWKeSOLH/K2ltlrjwrf47HTFF8ufvrBNv/1gx1aPZe7m13+4L1linmD5VnhpuEHEbWSRSmvc21NqNFamsyjvS5BKL4w21T5wRvzHLaGOF6AJEmYhsps1Wa2kqOcNyaK+KW8/qXf169vH/Dx/SYgYoC/+NEFbPPFU82t/R5//+stSOBDCf7wOysvpGwzxRRfBxiaMpGXR0mCbekosoymKpi6RBgnNNsu3UEgCo8IB7yjtkulZFAr2TTKFtWSxeUVca6Zuorrh/zlzx4yTM+8Vs+bqmJ+TfFlOKCdru9MVT0/P2xDzc67KIq4uxVyNVXC3z3qZ0MJfccnCIQwAgkcHDuZIt5x2+X/8j9/mA3VbB8O+Hd/eOXc9xspVgPsHw+4eaHO0szzWW6fjiOflFdUUufP5379MdW+wpgiliRNquWZhkLfEY1m8Uy+nBjX0E7F2k/I4w1DyYZUTt/PFF9/3LxQY6854C9//ggSOO76XFisoGsKtx61eLjTwfcjWgOPw86QvhOQs1RUVeL3313mXz3BqeX9T/a4/UiQpm4/POZf/ngdPV2fz1r/d9yATx4cZ3WDUe5rGs++7h8HU1cygvXzPvv6mLOPrioT16Op8pk1ZxrqY+vlp19PXNu0ZTbFFK8jTF3JBrIU5fzYVE4dxEdnb6lg8ObF+nO5ycmy6EWqipwKyRzzxoVJt/B//HAn6xd2Bz5vXqxRKZnUKxYXFkqU8sYT+3ib+338ICJvaVxcLPH9N+Y5bDkZOa+Q0wlSgomuKVxaLE28XilvPLY/dl789yQnJF072SOPu0M+22hRLVrsNAcUTI1CTufeVou/+PGFl7p/3n7Y4v1be8Dr1yP8uiNJEv7Lr7cA+N1vLb7kq/lmQZElfu/dJf6X/3KPv/vlJt+9Off0X5rilcQ4hwZEjjmKpVVFxrZUjrsnP2/qKpWCyVuXGjTKJ7WghIT/+I8P2T4cECcJtaJJztTQFJnD1hAviGgPfMolk07fp1YyURWZ//jTh8JtHrAMjZVZUX8wdIVLS5NEOz+M+U8/e4iT1ouO2i7fH+u9jWM8Tr+31c4I3bceHiNLwj3g4U6Pd65OCsmZX3I/S5alc4fkXyZMXaXvpMRM6cv/DKZ4vZDFpumAbt7WACkbNm73XH5z51DkvJIQjSyN9awvLJa4eUHUF4Iw5oM7h2P8gcln7fT6cP3wsdwd1w95/+MDPnl4THfgU9huUytavHu1gSzLZ157PE7daw6QJSkTnThqOzheRJgKSjzJ9fY0NFU50yc/va9+WRjPC+5utvmLH61n7sZTTPG6IoxiPr7fxE8Hvl5HR9tG0cA29Wzf1DWFYvH1yx/3jh3iCECi44Soz+By/Krhpx9sZRyT//rBLjfWa6wvlF/uRb0kTCvSU0zg4lKJjb0eYRwzX8s9V8NzoZ6n1XVxfTlV+DTIWepE8HRxqcTmfo8oTlhs5CdI4oNhQKvnYpsa1aLJ1dVKZqu+dM70a97SuLBY4qg95O3LOpIsYagKy3MnQc/x2NRfHCd0+v4Xbq943HVx/ZAojtlrOizN5FmZLaC/u8SHd494uNNhJb2mVs+j74YU0wCxPwxo91xypnZuI3tzv5f9tx+KyeJL6e/6QcRBy+HBTpdyXkeSJLoDXygAnUO+VxSZKysVtg/77Db7mU30YBhwcDw4sbFLhJrOk4Y4mp0hrh9RKRjnfp5+GHPrQZMkSbi2Vv3Si7fjn1MYxuwc9V+bAu2jvZOqShQl7Bz2v7QhDhDPq+MGSEgMhgGyBIYmE8YSeVNlv+UwV8/R6nm4XogfRFiGSr1soWsKP3xrgZ9/vCum1EtmqpYXZknPCKPvpFay6A48Aj/mh2/N0+y6DN2Q8lwBTRVFIV1TsjWyfdjHUGUKts5gGBDHMeW8gedHDF1B8u70Dhl6IZeWy1971R5Vkbm6WuH+dof+0KdcmBJYv8m4sFBiY79HGIkz+vMQfEZq3LvNAaosZ2vwWfG08+tpGHrhhDptq+t+IUMcrh9mijQzVZvd5oBqUQyWXlqqEMUJ7Z7H7tEAVZYy0tl2Gm+4Xkiz61KwdRRZIghjZms2pq5SLpj0hwFeui96fkTBFvvq+GcQRjEHLQdZkmhU7Cc2Qkc4aosCebVovrDNYafvsd8csHs4yO5r52iApso0ygb/5Tc72JrKn/5gDVMXCqT7xw6aKmekv2dFz/Hp9D3ylv5YxcEpzsfdrTYARVvH8UK6jsuffm+NZtdFU2Q+22zR6bnMlC2OOy6NikXfDcmZOp2+h6bKrM4WaFRtuk7AbM1GVRWxL9Rz1EomR+0hRVtn56jHfL3Aty5/fkK2F0Q020NURaZRsc4QHLYOTmIxz484aA1Ym3/xRsfmfm8iNt3c702HOKb4xsI0VN65MoOhNRl6IUMvpD8MCIIITZHww5g4SbAthZ4T4ocR9ZJFrWTS7ntYusIff2+ZKEqoFk3m6jlMXThnfvrgmIPjIbalocgSm/u96RDH1xAvEps8Cy4tl9nY6xLFCQv1/Ll1iK8Tvoh47WkYKdj1nQA/EOrGnhcJNShZopwX8UO1YKLrCs3OEEWW0TUZ2xTKep9tHE+4otzdfLzy5XjNzPXEWe+HETlTo5Q3MsfXRsXG9cMs/rMNQTAHuLZSJqjn6DsBpbz+RIVKP4g4ag+RZYmZio38DM+ibQry4mFriKErvHmpxvbhgDCN08ebwxeXymymNc2Fev6lDRaZxrPH2hcXSzzaEzneXPXz5XhTvJ4wNJl6ycRxQxRZyvboR7tdHDek2XGJgpD99hDL0FL3a1iafXxztN3z+Oh+kyCM6A98/Cjhl7cPuLhYplGxJur/lYLBQWuIripn1m+77024Po9y34Kts7ZQ5LjjYhoqS89IQHDcgP8/e/8VHNuWn3eC3/Ymd/pMeH9w/DnX1y3L8iySJVIUOWwNqVZ09yh6YkIP0tvoQQqFJqKDL5wXKWIeRiHOhKY7phXRYosaqkVRqqpmGVYV61ZdV/ce7+CB9G7n9mYeVuZGZsLjAAdIYP1e6qIOkLmB3Hut//qb76u1bEgCh4Wee380ox5JtEQUiBBC97xP6g06BJ7FjdnMjhzlUV6P51jM0IYKCmUoWZxO9dUeuT1i02uzaawWWgjDEFMj8Si/4fsBih2HrJG0sufPA/0xlO34qOs2LMeH0MmZPFmto226kEXitiSJHG7OZcCyDOKquO86w3MsYjIZllYkDmInx/flN6fw/sMCXC/ANz4zjdWCjvsvKhB5Fq8vZtHQ7agm5noBSvXd4//utftBgPWSCU0RMDue3POMIIvE1b1QMbBZaUfv0dJtBH6AeEyEafvYKOmQRX7PvNFhMSwHj5br4HkWN2czfUKA+7Fa3K6zDVuN8KLzdK2OzXIbosD1iShRXg1f7QxxvHdvC23TPZILOOX8cn0mjZXOXjY5EkdM5lFv2SjXzchFAgAm8xqCIIRpe0gnZLiuD9P2O3V3D4Wqgd/7+jUUa22UGxZGM2p0RlAlATzHIggCFKoGRtPk3xSJhyywEEUeC5MJNNsOErHt+Pv5eh2FchuSxEHkOawXWwB2f/Y9L8CjlRoc14duOpAEHkEYYLOsI64IYDkWQRAirooY78k7nGYfRZd6y4ZuOkhqEuJHPF8cF9cLUKoZu+ZMZsbiYBgSd+TTyon3O1GGG5ZlsDCVxL1nZbAsg9cW86i3bDzfaCAmC4hrIuKKCNv1IQocbs6k8WyrgUbLxutX87g5RwQmujnAazNpbJR18Czb13u3G3PjSbBMk9TTM2pf7065ZqLasrBZ1onYisDA8wM02g4m89qOml9vjK0bRIS222e2UW5DU8S+7z38EAe7oyeibbqkdiLxyBzQ5zB4TnD9AJWG1am/7x/3rpX06L9bhoO6biGXGh4x5ZOgodtoGU5HGJjG5xeBtulGAxwAeR6HbYhDkiT8179xA//zXzwAwzD4b79946wv6VgwDBH+QwjIAotCzcDts76oI3L/+Xb9yvdD/PJJmQ5xUChAR7XlkLbBg1QaFkzbhyzyYBhymBhMBsgij6vTO9WmibJXJVK8mhtPYCSjHqhMnUspyKX2PqipstBnw/YyisC7UagaWN5sotIw8cmzMvIpFW3TRS6lYH4iifGc1mdfJ4kc1E6g2TbdzqADea35ieSOYlkqLm3bIzKIGiV9P8D9F2SysaFbsF0PY5kYJIHbtyEjroq4MZuB74eRYibPs8gkFayX2tH3pfeZMCTOCqRRb7Pcxp2F7I5G+v+9o4IOkKa73/qVK/v+HV+WVFxGsbr9d8okzt7W8rCk41LUPAyQ3+W0KFYNLG2SZLZpuVgutFDXbdhuAJ4HCjUTjh/ghx+s4ZOnZUzkNTR1B1MjGoo1A3ev5KDKPO5cyaHV3r6ndxvSSWkSSjUTAs8im1LwxvU8NFXcUUgdTLRkEjIYhliZu16AbIr8PdhOs/VmuY0gJE48m2UDuZRyZuqarwpJIM25Asdho9RGGIJO6F9SRIGL3HROgv1U2fbDsPr3r7mJxJGVnSWB63OZOamEo8izUCQOpu2DZRhcn0nj219ciP69XCdDiJmEiCdrHlxPgMCzSGjEAeHeiwp8n1zTeC6GKz1/7/FcDCzLwPV8GJaHWEcFePDaHy5VI+W/esveV/ETIM3vG509eKvSxt0ruSM3b9VbNh6v1OD7ARptGwmIkEUecVWE6fj4Dz96gXbnmv7jT17g93/1+rGUkAGSZHqwVO002LexOJ06MMFF2SabVLBVMcBxLBIxEW9dH432xycrNdiOj9WijtWSjndvjcJyPBTrxDpYlnjwHIN4TMLX3p5GS3dguz5c10cuKWMyr+He8wq2Km08XKlCEni0DAfP1hq4Pnc8txeANP/ef16B21G4aVvuDiWqdFyO4l2GIXHAy5BKSMB6z+sPofoFhXKSpBMyvvj6JFYLLXz/F6vYqLRR151IudqwXDTbZNCQ40jSNJckAxtfuDOOz93Zac39fKOBum5BNx0Ylot8RkXqFTj3UF4tYRjiwVI1UkRr6Dauz+4fmxwWSeB2ze9cRE4iXjsMDMNEZ71224ZpubCcjrMEw2C0I8YRBCGqTTty6WpbTlQ4MW0XJFAjuaHMPs0NqsxH+7fr+3i23ohySmEYRkXI1c6wJgMGQBvLW81I9XOt0MLf+NLCzhcfwA9CPHhRjZSvddM99Nkmm1T6cgd7/Zz0EjnNk+awsbbAn+wZjzJ8ZJIKJnKk0FmqGVGDkCLxWCu00DQcbFVNeH4ABh4M28PNjBoJBA3SdaX2/AAPX1QBBnDcAD/95SYYAIbtYW48gcXpFHHpfVqJVOcsx+vLN8UGzrq9Z9+jOjzZrt/n6jE1or3UvT+Yz3jZ/ei4+REKhXJ+2Kv2OIgi8bvWHR8u16KaWa1l4dZ8ds/XUGU+ioVChHi+3ojypJvlNkzbRctw0DKB8ayG167mDy10FoYhWoYLgWfh+WE0nJvUJHz9nZno+8ZzGq7PpvFouYZKy0Gl5eDqTAopTcLD5e34v9l2+n7fbvy3VtThugEKFQOOG+ybv+w6DPMcg7/+lLhdSCIPWSL7AsMQBVCeJQMXu+WNDoPnBfgvP1uJlMZLNaPvd96PpCZhq2L0XTPlfPCDD0iC73O3x05tGJ6yNwuTSUyPxrFaaOGnn2zgm+/OnvUlUU4AeWAvq7Us6IYLWeRR1+1osI9lGcyOb4sKNA0HHEdEQYMQSMdElOoGrkylEISIRJXGsip004VuuGBZFnFVgOsHqLYsiByHVFwCy3EwLB8Pl6u4MZtBIiaiUDVQqrahWy5apoN8SsVYdu8zw49/uY7VAumRaLUdvHYtD4Ej+1/LJA7kQRBCFtlXWhevNi08Xa0DII3jN+cypz7IEQQhHixVIvG7wf2b59hz5w5COT+EYYjVQivqmXmx0YDt+lGPSeiHiMdEdJ+iiZE4vvbudoz1eKWGeou4vJUbJu4s5HDjkPljgWf7aum9iCKHpc0mLNeH74dgWSCXVJGMiTAsD7WW1Zfv681TSgKHEGwUYydiEsIwjL4+al9B75nfsFw8WNrOT8yOJzCa2XuterRSi+LTYs2AH4SRI4hpe/uKVCZjIkoO6WPjefbIohPDTrd/gdDG9dk0zb1cACSx34VaHdIYf2WzhVvzxIXoxaaOr53x9RyHluFGn4NlB1CH0KlrJKP0iZ9PDdlA0EkynE8S5UyxbA+FmgGeYzGWjUUF3kbbjr4nDEmT32EVHXoXFoAofY3sEygdlrGsihBkYCEdl48dEJi2h2LNgMCxGO39nXXyO1eaFsKQqAoKPIvNchvjuRgKVQPXZ9NR4/lri7lIOabZdvp+50bb3jHE8fb1ETTbDhotGzfnM9FUrun4aBkuGp3pYIZlkO007+036Wt1VBVUmYMksADDYCIXi4LcSsPEeC6GufEkDMslTfgCi7FMLJr2r7Us1FoWXC+ApgpoGW7fEIfnBduDJwAaugPD8k58gKaXt66NgGXI33RuPLlvkH3eeG0xhzAkf9epkfihkxDdz5JjGYxnY+A4Fo5L3FoYhsFYVkWlYcF2fGSSRCWvrm8/o34QIhEjTcv5FGn65VkWDBiYto+wZfccZDyosoDNShueH+LN6zmsbOrwgwCvLebBcQy2Km3Yjo9sSoGmCHjr+giahoN6k9y7ssRjebMJSeQwmlHBMMQJpFwnThyjGaIoMZaN4QuvTWB5s4nrc2lk4jLCkDzLAs+h0RkeAUhTadv0kIoPXyByFNqmGzWVA+Q+p1BeJS3DQbVhRc/v4P7V1J0jD3EQhcw0tipEnXZyF8et48CyLL7xmRl8/KQEhmHwxoCaeHfflkQBd6/kYFoeRjMq3rwxgrbpQjddtNoOsaCW+b41+Te/OI//7395BJZl8JW3JjGW1RBThCgJXW1aqDYtbFXaSMTI+kn+VuG+e3M3IQUgGrI8alNgo01ULAzLw/SIhvWSDp5j8MXXxlGutaMBDgDY6hnaPA7NthMl88n123SI4wh8691Z8ByDesvBzfl0X+J9q2rA9QKijmV5sByfKO/6wMJkAqtbbQgCgzeu5eD7JA7bWNFh2R5cL8DDJaLSX2uRuNR2yee+UdFxfS6NZttBrUnUcgdjpSAIUagacFwfuZTSF8N3X79LoyeeAEgMM5aNwbQ98ByLxenUSw+l3pzLwvMClDrqYYtTl6NJmELZjVrTQqPtIK4KqOs2wk5yNAgDcAyLlCZiekTD87UmWJZFLiXD90NwPItMXIIWE+H7ATiO7TvL11s2VFnE7YUcVostaIqAqVENrudf+CHpy4TrBduW9kDfeYpyeE4iXjssj5ZqqDRNZJMSXruaxy/uFyB0HBo5noduukjERCgSjzAAOI6JCocAkEvG8K3PzeHRUg2JmIDf/fq1vtfvje0XJpPE1cIPwDAMKj25nI2OWm4YhgjCENmEDIHn4PoBNsrtyHnFD0JYjndgY6LteNEAB0DOEMchCEJsVdpwvYCqT1KGFtfzsbTRRLUTR99ZzKHaMHF3MYdETIQfhMgkJIQI8WSlhrpug2OBMGQgCBzeuj4Klu1XJu/u8VsVkoO+NZfBk5VaRyhF6ihF2qjrNkzb7SjrMtBNB83OGVgWub4zcFKTsDCZRK1l9Z19ewlDco6wHR/ZpLxnQ4JuOH2uHnXdxsQlLspRKJTzRblu4PlGA4rIIRGTOsq/4Z6CafMTSYi8DtcLoCo81grbIl0bFR135rN4tt6E5wd481puzzgpDENsVUguJptSwLMMnq7VIYscQnDgORaJmLBdexlYZwfrBM22A1UW+uP/gRzO3EQS7z8sQDddTI0Qx5Le/GWxZsCwPKTjO4fbFqfTsN0AT1drePvGCESBA8swmBrVUGvae77nYdFNp6N87oJlGBzFQPDNayPgOBaNlo3Z8QR1cz0n+EGIH320BgD4yltTZ3w1lxOGYfC1t6fwP/75A/zl+2t0iOOC0ne+Dsl+sFtPTEIV8e6tUfz5T5bAsgwySeI+jxC4OpVCsW5CNxz4YYiJnIqHy3U0Wjbeup7H07UmcqyC+fEE2rYHxg2gKQIQknU/ESNO4pIo4LXFHJa3mgiCACLPYrOsYzy3M/YvdJTtLceD6wewHQ+jo3F85vYoNottBGGAuYkkghB4lZnKvn2s8/c87SEOx/WjAQ6A9gJQjsZg/rdYM/pcK5JxGVemWKwWmpgc0XaIvvXe85bto1hvY2mjBVHgcOdKDpbt7Vlb3A/H8TGaUeHYPkzXQzou4/XFXJTPqLfsviGOK1MprBV14lbb6clbL+ngWAaTeQ2lmonn6w1oqoCpEQ3VptV5PoUjOfTohtuXn2jo9p6/l+8H0QAHQGo1ksiB6/wODd1GrWWhoTuIycKOfr9feWMKHz0uwnZ93JrPHnqw+6LQ20MKoM89kDK8yCLpoXmyUocic0PpaKubDjbLOjbLpL/ScTw4jh85YQ4LAgfYnZqxwAPV1vHO4mfJ73xlAcVqG5uVNt64msfbt8bO+pLOjMu1Q1BeGt8P8GCpuq3Ea7rRFLimCKh2XS8YHMmSM6YIRCSwEytp6skUYRmGidTMjovnB3jwohqpkhm2FymFaaqAestGUhOxUQQEgQRr6YSMh0vVSAlxLBvboXapqQO/8y5/r0LNQEqTkNIkmLYH0/agdFSYN8ttOJ0C+ERe23PCuUsQhH3XlNBE3JjdDtBfv5qP/tv1fDxYqkaN47bjR02GhuWh1DlUN3Qbd6/k+t6H51mk4lI0ra0qAmTxcJbHx4XnWbxzczgXcpZl8eZAk/FBdBUsu8+hYZF78sFSNVKAerbeiCZeizUDd67kovsVACSJQ1bgoEo8ZJFHKiFjebNJGjE4kshRJJ4od0g8LMfDaqEVHUhuzmeiw9DKVjNSOSrVTdy5kkWlYSEZk5CMSWjoNj5+XIqaXFwvwEhG7Ztwd1w/UgNZmExiYXJ3NQlN2S5CsCxzqsNB5wVF5vscC3ZbKyiU08K0PTxcqkZDG65HrJRPYs/WVBGLp5D4TMVlfOWt6T3ec3sdJKrm2eiZctwAGyU92vuSA2rkHz0pIdsZVtiqmPjsrXGInWRLraPME4YhKg0LDMMgroqIKcK+Axzda+oq/bEsA+UY65rnBZ2B0RCPVmoYy6jgOQ7v3S/ga29OQhK5aH/IpV+uuX5wDepNBFIORhQ5/Prn53f9t0xCRtEziLI+z0HiOSQ1EY7rIwgZjOVUiB0lRiYM8XilhmrTQrFmotq0wXMM0gmZ2Jd3XgMgznWG5eLR8vaz7PtBX9PUaqGFQnV7L39tcVthXBJ58BwbxcK9DQMN3caTlToA0uR1HGeevbi7mD/4myiUC069ZeNJR/mtWCVDkK22g2LVgOuH4DgGAsdhLBsDz7EoVA0kNQlhEGI0pUIQONx7Rpx03ro+gvtL1ajZu2thnUspsFwfE9kYKnUbhlXbccajDC88x0ISuKh5np4ljsdJxGuH4cFSBe8/KAIAHi8H2KrqkZtDo+3hM7fIs+kHIcIwjAYpXG+70M8wwJdem8A3P7NTtXgwtvf8AHOdc7huOKg0zCjGd1w/+p0ZAPmOC67AsQiDELpNGgpYBocqQEoCB55nozXouGeIpc1mJBxSbpCYhQ6eUYaNe88rUd51ZauFN67l8cbV/me23rIxPZKALAqo6Q5cJ4AgsEhrMsbz/fG25wfRHt9qO9BNFxM5DXPjSaK0qzsIEaLSNBEEIcp1C2NZFaLAYXmzGZ1ZE7GdZ7uDXLBXC63+nOAujs0AcfXoVek77SYoCoVCOSwN3cbz9SZMy0OjkzPsFXLbDZ5jo1qG6/nYLLejfGIuqSAMSf0EAGbH91bNXim0UOisoYUqEV2x3QBty4UqCxjNqLBtHytbxBVtcJ3dmaMTIAzE/4N12tWtFjiGgSrxKNdNaIqAREwCwxChru57FWsGbs1ldgzn5VNKFCMCwI25DFSZR6td3s4bHTNXKEkCmm0bpt09uxw+5uZ5Fm8dsc5GOX0+fVZGtWlDU4Qj10EpJ8dX3iRDHJ88K6NcN/eN7SjDiaYKKFT7v94N1/NR18mAh1FuY72ow3Z8vHltBImY2BGUClGqmvjlkzJiioBS3UStZWMsoyIAqQ0E4bb7J7Ad23frb+m4jHLdhO36WCnoWC3q+PYX5ne4VWbiMla2Gqg0LQgcC1EgKvVT+TjSGvleSeSi3MerQlPEqBeGfH36uTRR4CAKbNTHQ/N3lKPAc2xfHTiTkOH5YdRbEoRkOHmuE5dWGmbf0ENcFbcHhxjgRx+sw+7ci5vlNkbSyp61xf2Ix3i4XoBsZ7BhciTWF1sO5gV4jo3ylF26fXmW7WGz0oYkch1RuyqMTs9QsUr6Ag8rOLijN3Gf543jWCgSD9Mm75WISQjCsG8IpFsjBYhLX2+NVJV5fOG1nS7plwVNEVDo+Zrmgi4GjutjvaRDEjkEAbBW0ofOLUpTRCxvNaOzp+sN3wAHAKTiClyPxCwsy+LG7N6OoueVB8t1JDUZSU2G5QbYqrQvrSjDxe9+pZwotuv3KfHqPcm6sWwMLMOgbRHXi7hKJu5LdROSwGEir+2Z+NQUAddn0qg2rSg5OUgYhtgst2HYXqQKE1fFE3NdCIIQG2UdluMjl1SQikuoNS2sFVtYKTSBMATPc+C57d9hIqeBY1nkO4HrZknHWDaGufEEPnla3vXv1CWuirg2nSZqZrKwq/NI71RvGBJrN0Xi4fkhxnMx1Fs2OI5BcpciWy8N3cZ6UcdGqY1sUgbDMH2vPYhheX3K/y1je9pflsjfwLR9jGTUPjX2Ll9/ZwafPC0hBHBnIbtDHY5yfHw/wNO1etQsrCoCQpCCbVdhGwxg29tDEWEIPFquotayUK1byKZkzE2kkEvKKNVNiCKLIAgxP5FAtWmBZRjMjMaRistwXB+aKsJ1fdR6pjZ1w40Od62ee6mrHt57z5i2jzAMo2bQestGtWlho6Qjk5DRttxI1e+g5OHsWAKSwMHxAuRSyqmpn54nZJHHjdk0yg0LYscZh0J5VRhWv1NW23QxPRqP9i+R52DaHp6vNzCei517S/Tuvm1YLjIJuS8x4/tkQGWzbEAWuUjVt9a0UGlaeLFB3IRYhkGtaeGT52WkNAmbFQOlmolkTISmipgeiYPliCPSbupCXXTDwVbVAMcRVywvCCHyLNaKxEUDIeAFIcYy6oH2qjzPYiyrotayIQtcFG9VmxYURcTv/+o1/OzTLYgCh6++OXmsv53r+VgvteH7AaZGNNiuD00Rd6iKUI7Pu7dG8b/91QvEYyLevJbHVqWN5xsN8BwDngmh2y5USYEk8mjbHhIxCdWmDVHgwLAkSSnwLGKKgJuzGcRUAePZGG7NZ1GsGX3Pcq1lwXZ9hCEwkYv17dtBEMKwvGiPFXgWN+bSKNZMCDzbd3BuD8S4bdMFqGkGhfJS6KaLQqVNHBzDEA3dhmF5kCUOV6fTGM2oeLpWR1zloUoSUnERtxey4FgGHz4pIQyA+ck41gpkuK/ZdvDwRQUT2RjWCqQhJ5skLpWjGRWuH8Bx/ch50bS8yLljP9YKLTxZq0NTBLx+bQQiT898+9HQbZRqBpptB1pMRC6pvBInK5ZlcGM+g61KGyzDYDxHzxLHYXokDoEnxfRcUj5R1TTL9rBRboNhSGFUNxw4nbybbftwPBcsx2I0o0KWONRbNmbG4hhJq9HePJpRUaqRBolsUt61gRog+3TLIM5zgsBCi23HwtpAjioIiWp/GIZIxyXMjSdgOT4UWUDLcHD/RQVhGOLqTOpQawbHsbg1l0GhaoBlSfzbS8twUKgSl76pvLbn6/XGLL5P8oSOF0CReIxnt11kzxN+EGKjpMN2feRTClWcu6SEYYjNShutttMZRiJCSHFVQK1l4YNHRTR0G3PjCcxPJJGKS0gnJJi2i5szabRtDwLHdhoY+u9z2/GjAalETALPkVz13/jSHH75tIJM3EVSE+EHJM6wHR+m7YNlWWSSMoIA4DkGtuPh6VodmYR86D2qN+cdBCEM2+tbg1wvwHpJh+8HmB2Lw7B9SAKHsawaFX27Z5K91q7zzGFrHxQK5fzSjS26ar6qIvSJnzXbDnGnMInYVVwV+2Jqgedwcy6DYs1E23QgCBwcxyfCWLaHYo2IdXQblrp5xrbpYrOsg2NZJDUJtuPD9UNoioDJvAbT9jAzFkelYaJtkqaxIAjRttxovUwnZFyZSqJSt/Dp8zKebzRwaz6zb/zfMhwwDIPpkTiqLQuiwIHjGKwWWn0KzgjJGj+Yk+yNxQCiYJqIiVHeiOeYffOh+8GEIe4s5LDWUVyen0wc/EOUc8333ycuHF98fQICzRmcGSMZFbcXsrj3vIIffriG3/3a1bO+JMoJk+0MELYMsian93DJ7vZ/EOcpsXM21+D7AWotC49WqmA7jdBN3UalYUI3XMRVAbJEnOlTcQlXppIoVg2U6ibGczGk4uSM21t/Wyu2onpEGJKm8d4hjlrTwlQ+hmrLBMexmB6JQ+SJuOS1mTQ2yzpCAOPZ2K5CaYblYrPjEjqR115qjemeSwAgHZegmw4abQcsA8yMxtG2XJTqJtJx6Uhq/0eBZRncmMugUCE5k4uQvytUjeiePCnhL8rudO+fbvw3lo3BdjyUG1anr4YMHZNeMwEN3caLjQZahouFiSQm8ioer9Tg+QGuz6agd/KHLMvAsj0oIoem4UASuB0CiAdcGV67ksN6ibj9Xp9PIRmTsF4kPUL5tIKNkg7D9g7MQxi21zc4UaoZiPUMDrcM50hDHN3eROUQ7iI35tLYLLcRguQuqk0Lj1ZqUCUeSU2EZW8PfemGixFaI43orpnNdmd/egX1EMrpY9r9/aS79cOed+o66XOqtxwwAFJxEZblQR4yEenf/uIC/qf/8gCuH+Kta1nkT6h/+lVS6sQLbqfGU6oZdIiDQjkMksj3TYEPKnT1DiJYtofHK7U+hb/9pu+S2k573l7WisTKqGU42Ky0MT0ahyLyYBnmRBoIV4vbqjfVpoX58QRebDZhOx6erdWhSAISMXHHJO5oRsXz9QaauoOYIqLasPBivdE37bybkhkApOJSdLDdjURse+qZZRnEOg2lishBUwRInea6/YIds/M5+EGIluHAD0KMZtQ9rwkAVFnoU0hMxrav0bJ9eH4IgWfR0G3sJjCuyjw+e2d8z9enHJ8XG6TQ27USHEkrkEXSsFvqWF0DANczbNQybKwVdRimh6bhwHR8qLKIbFKGIvFQJXJfuV6A0TQXNWGzLIM7HRVeYgW4PcTRe/8kYmLUxMlxDFRFQNKRIvvWmML3NY5WmyZ4jiMNajUDssAhk1TwfL0BjmP2TC51r+mw0/0XCU0VD2ziplBOg5gs9DnBdJ/97v5173klev4buo3Xr+bPZeNUL3slYziOQa1lQ+BZ+J0mdt108WStDoQAyzBoGS4kgYVhe7DtAH/+yyUIHAueZ7G02cDn74yD51lcm0nvu787ro+Hy7Xo75pJyJgc0fDpszLCENgo6+A4FqNpFfWWjdev7q8wnIiJSMQkaKqAzUo7ar7vKiaPZTX89lcWj/kXIzxZrUcDoDzP4vWredqgcsL89adb4DkWcUXEjz5chxeE0E0XluXB9X2okoC25WJps4E3r48gERMwllFhOR40RUAQhvA8HyIvYywbQ0wRcGueKC7EVbHvWS7XLSgSiRmabaKO1RtDxAbUDlVZwNz4TjWaeMf1o6tYs198SaFQDsb1Ajxa3nZEtBwfhZoBhEDLII51ssQjk5DRMlwwDDA9lsDidAqPV+q4NUeeeY5jIAgmNstt2I6PTELGTz7ZgOsR9X7T9vDOzVFMd2yOTcuL9vOYIhzYjF1vWfjBh2tRjG+7Pr70+vGGBC8D3TN5uW4Sx0JNQj1j4+Z85pWoT0kCh9kx2gD1MnQbG06aMAzxcHnbMbVUN9Ho5IB8P0DLdIkohu9jo9TCrfksZJFHsWoil1T61OkOU+BnGWCr0o7igZFMfy6tN0dV122wDFkLZInDaGZ7QOLn99zo3N42vQPXjC6yxEdiE704ro9HPbGx6wZYnE7t+hpJTUKx4x7m+QHWyzq4znUGQRita+eJla1mpOJZa1q4u5g70UEgynCwWW5jragjDEMsbzZh2B5YhgEDoFAx0Ojk0NZLOlRZgMizqDVtKJKATFLBhMQjpUkQeBbKgDKcLPartk6PxjE/kcS95xWMdpplXC8AzzMIQYY+VJlHTOahyiS3XmmYMCwP1YaFasM69B6ViInROZFlmR2K709X61HDb0N38PrVXLRmPF6pRWeQYckn9HLU2geFQjmfJGISNjpNoCNpFVemklEOznZ9PF6podl2sFHSEY+JnWZS9DUVqLKATCIkMUpn4EI3XbAMA8PyUG/ZuLuYg+v6eLJaR71lR8MdYQhwLIN4TIICopSsygKmRuMYy8bgByHaJmks3W2dzSYV/PW9rcjBcWWriWRM3NMBJKlJKNdN8DwZ+PO8AE3dQVN3+mp9vYMngz9faVidbyKO7t2/wW55o6MgChyyKSWqg+yXW6WcfwzLxV99vA4A+Nrbu7tmU14dX3t7CveeV/CX79MhjovKQQ56QKf/g2MRU0TYboBUnNSUwJD6j+cFaBkughCRo5Npe/CDACzHYGYsjmxSQbFmoGW4kEUetSYRbuw2T3frb/WWjXvPKwBInjLf08Tf7qm7jWVifUODiZgIgWcxs08ey/MDPFyqRQ5QpuPhxmzmeH84AI+WazA7IrIfPixGDiRip/ld4jloKukB4jn21IQZZHH3nMkwUqqZWN5sAgCqDQscy5zaAAyFMJj/Ffjt3pIXG40ol6YbLgzLjWoB6yUdIr+dT/joSQUN3Y6cOGSBw2aljTAEdLhHaqxVZQGZlIJE55kRWA6VugVZ5GFYHj5+WobT6ac7KA8RU/r7FcaysT6h2aPWJg/qTexF4LloTbJdH6sFHbLAIwhInqO3Rnq0IZfLQTap0Of/gqHKPHiOjfbhYewNiEkcai1yrg0B1FrO0A1wAMD7T4rQVLKWrRbbaJvO0DneCAIX9UVbjgdVHq7rP0mG7w6knCkcy0Rqvt2k5l6YjrdDvfswNHQbW5WO/TBDbNOmR+ORRZnt+EBI/lcReRiWC+DlN33D7FeZqTYtICRF4GxSRYgQ+bSC1C7BXKWxPV1r2h7uvajgjWt5pBMSRJ478nS54/pYKbTg+wFGMmrnYLOtpshxLG4tZFHq+RxcL8BqoQXX8zGa2VY9IIdO0nw6PRqH6wWYHo1jNKPC88nP2K6PkbQaHbAFnigklhsmBJ7DSM+QTEwRMJZVYbsB4qqwqxMH5fRoWy6CIIgcLJKaBC0m4NlaA0EQQpE4xBQRqbiEhckkTNuD1GCxWTYiNU/dJBtg1zHj8WoNuuEgJgvIp9VoiKNXeYkcZEQUqgbyKTW6v7YqbbQtF6LIIhOXkUspkAQO47kYBJ6F2ZmcZxig0iDT7C82GghDUlR+sdFALqUgoYrYLLfhej5eu5ofusCCQrmoyBKPW/OZ6PkdTAKTPZjgegFcP4DEDqdDju+HmBqJo9l2IPAsEjERhuWi0bLRMhyMpImTlShykAUeLEuaWHXLQ0wSIAosWoaLmbH4gUVGy/H7FEPalgvT9tBsO2jopJDb3ZODIITl+PsOcaTjMhIxEcWaga+8MQU/DMEywK2F3Mn8cYCouQYAPC+A6/rghlAp9azxgxBrhRZMx0Mu2V9Yaejbw5LVpgnXIwr8XkCsjjmWRdtyUambKNcM/Nrn5vBwuYrrs6lOw4CMur6tiNj7fCoSj5tzGVSbFmSRw4uNZvRvjhsQJx2Zh+34yKWUfe+3XuKqiBuzGTR0G5oiUBUVCuUlsV2/T8HGdjxM5jW0DAeG6WK9qEOReLx5bQRblTYUmcdrizk8Wa1jo6Qjn1bAsSzCMMSVySRKNRNjYzHMjsXxbL2BiVwMluuDY5m+Rufrs2kUqwaqnWac5a0mcZbao5Gy1rL7zoGNnmFvyk66Z3KrU5RyOoVww/JeybknCEKsFlvR2QxApDS23+dMOX08P4iKpACgiDxuzqXRNFwoAoelrSbqug2OZfvU5QBy/xx10D8IgekRDc3OYLI28JrFqoFqy4Iq8cgmZNx7VoEb+Pji3Ql88qyMrUobmYSMbEIGz5FYIRUXD+XEsR+7xcZ7MTsWhyLxcD0fIYDNUjv6N2OfnztLevOhYUjEUegQx+Wje18HYYh0QkaeZcAwDFJxqV8gJwTqTRsxlUcYhig3LLgeccxyPR8xRYDt+lB7njmOY3Fzvj9PDGw/E23TjVx8rs2ksNF5biZHNGSTCp6skmEKSWAj9+vuHrVVaaOu24jJAqZGtB0quFMjcYgCETLKJuVIcGjw9wbImud62+uFYW+fMV0vgOcHEIcon9Dd37v0npkpFMrwkIiJuD6TJo55qtAnMGV1FH9tlzzf3Saz3Z733jhEN12sbDaRScodAToWlu1Fom9W5/VUiYemikjGJdyaJ+6KxY57n+P4eO/+FjRFgCoLUCTihryy1cJELtYXB5ZrRvTfYQgUquaeQxxz4wmoMk/WXIHDUk9+SJZ4TORiaLYdtE2ioj6WjUUNboWqgVrLgirziMdE4nJ8gucZlmVwa564mnAsQ1W7h5wffbQBy/Exmddwa/74zdWUk+GLr03g//nvPsHSZhNLm80+QQDK5UHgWdyazyCTEPFsvdlxT4rB80IgBEazMciSDUXikZ7PotUmyvYCx2J+PAHb9fFwuRqJOHYxLHeHAv6b10egSgKaho35iURfs7RheVHDsyzy8IMQluMhFZcOHEQBSF6t2zgKkB4f3w+wWtRhOR7yqcM3DAdBGPUgdZ0F2Y5QpuP6sBwWCIGurIdpe4dq/C7VTFSa5qnm3ioNE6W6CVnkMT0aP1eia4P5GcPykKXz7qdK23SxXtKJ6NNIvM/pkudYqDKPum4jFZP6P58QKNYMpDTyDDuOhxuzWVRaJgSWRSYpEZcc04UocFBlHquFFtqWi5RGntluv9loRoUskn8HiNNdb8+Z5/tYL27H0ZWGCdPy4Lg+4qq4b65cErioX0EWeeTTChq6HTk8vCrXW2vAEYQBQ2uklEuHwJPnsdwwIfLciYiuv2oahgtFFGC7pLYp8xwMw4WqvpwwwavGsH24rg8/BOKKgELVwFh2uESxx7Mx3JzLoGk4yCflHUKjl4nL+5tTjo0ocJgaOVjZTlPEPjeHw9iXdZVtgiDE840GZIHH5IgGw3IxkddQb9mIKQLqug1V4gHm5NRY0gkpUgbjORbjneldUeCgSBwyCRlJTUI6ufP3mB6N4/FKDY7ro9ayMJ6Loda0kU8rGBs9us3P07V6j4qZi9ev5nfYQEoDn8PTNaLgAxA7steu5iEJHOLqtqsGz7GYm0hECo0v1hqRak6z7eDOQhZqx+1DlvhdP+d0XI4O5xzHEAVmyisjHZdg2h4UmSdqmFkVth2gFloIQZoBRjMCskk5SnQk4xIeLNcgSxysTtMoyzJIxEQ8XK5ivUiUnBotu29KtvfZKtdNNHQHssijZTgoVA1IAoeVrVb0PeQAuB3UDCZauv9Wa1moNW1IAodr02kwDHHaMR0P6YSER8s1vHEtD/4lmkAoFMrJocpC37PdSzouk6FHkCE/cYht0TVVQKzX5arTTFOqm1FC5vZCFtdn07j3vEJUR0wPrheg5lhgGQaaKqChOyjWjH0LjTGZhyRwkZpROi6BY4FizYTvB/D9MPo3SeBIzLMPxSop8MoiD9v1MT+RPPEDcyouRc29qsxHbh+Uo7FWaKHQUbxp6g5kkYsK3uO5WNRQpSki1ko6bDeA6/mQO8V6jmPguAHWijrmJhJ45+ZY9NphGOLe80rUTDCYLIwpQqTYWG1akdqvpgoQhaMPHXchTjA0HqRQTgJF4vscHSfzGtqWi1rTgueHCENiDT6SUjGSUcFzLMp1E34QwrQ8FKsmxnMxNHSitjIzFoduuGAYBumEBEURoKki4qrYt47zHAtNFbHWORe0TRcMsKfq3WhGgShyURPTZXTKOwqaQpQO46qAtulGymHJV7R2rvW4jm6W22BA4rum7kRiD5SzQeA5aKoQ5X8m8hqCIMRYFnA9H6slPRq0UHqUoLrn+aMSj4lQFQFSZ4Cgt0mx3rKx1FFJbOoOHi5XIieOf//DZ4gpIniWQalmIp2QkE+RuCGuii81wAF0Y8tt1b/0Pnk+hmEiZU/L8VCsGtHw236unmdJOiHDsMj6KvDsDgVtyuUgHZdRa5KhrLgqRiIoCU1EEIQo18lZi+dZjOVUcByLe88qqHXO2y3DhSrxaJsuHi7X8Oa1fN9AxWCeGCBnuGLVxEZZhyhw8PwAawU9Ot8T5XkGlu0jqYnYqhhgWRYjHQfnWtOK8n5N3QG3hzvufueIdHxbsV0ZOEem4xJqTZLLjinCjtz3eUdT+52s91u7KBTK+WYvJd7u2qTJAiqMhVinoWO3mmQiRhxQLdvDZlmHqgpoth0EYYjZsUSUc2RZBpoidIZGiBjX9dlMJKyV0iRslNqotWyUagZScQkjaRX1lgVR4GB0hLneuJqPYrCFyRS2OvG+wLNYmNq7S5JlmUhB2fMDrBd1uD3rWDapoNKwotxSt9ZoWl6kqN39G5zGQLrAc5ik58sLwXfeWwYAfOuzMzuGQCmvHk0V8Zlbo/jpJ5v4/vur+O9+8/ZZXxLljJAlHn6w7ba0VtRxbToFjmMAn5xbZscT0A0HPMcinZChyDxYlo32Ad104fkBUhqpoe0mgAoA1+fSu/7/8ZgAjmPg+yHalgvXCxDTJFi2j42yfmAfkizyUCQ+Gr5IJySsFFqRA2a3VnaYszfLMkhqIhq6A45jkUnKkEUeuuFClXkkVBFCZ789bC6m2XbwYqNB/lt39s2xHpe26eLZWuc94CAMw3PlCpiKS5G79En2c1F2JwhCPFrucaexPby2mI/+3Q8CGLYHkedgOB7ySRmlTg5C5DksTqVRrpPnJ5tUMJ5Tken0xCViInTTjYZCXC/AZpnUMZu6g/WiDr9TQ2+1yb1IrCnIffrGtXz0TBuWi41SOxJDkHgOm61255p9HBQtDPYrHMVN46SIKUJfDjMVl2iNlHIp2aufdFhIxURYng+2c05xPH/oBjgAgGcZeJ012HI8jKbPZ31kP9IJCWPZGMaysWPXvS4KdIiDcmwMy8XyZgshQkyPxnck7ASexe2FLGpNC5LAHWrq1HF9hCFRJTMtD+W6iSAMkU8puLtIilum7eH2QhaeH0DrNKGcBGPZWNQwk4pLkEUetxeyaOg2rk6n4fkBBJ7ddXJ/LBvDtz47i8crNYznYsgkyPeY9k5FHs8L8Nf3NlFrkmGP3ua7LpFCp+fh0VIdy5tNXJtN4+6VvRW1e98rDMnfUhI44qSRUvB8vYGYKkSF9t73IT9E3E32atTtMppRIQlkGCClSTsU1npxXB9Lm024XoCxrEpt0k6AmU7Cf2pEQxiSRq+lzQY+fFyCZXuIxySMZlVcmUxFP5NQRfz652axWmiBZRhkUwqSmhQdtnJJGS3DQbVp49l6HUFI1Oi7jRHAznvZdnwEYYhyw0TbdCGJ3KEGtQDgymQKZc1EpW7B9QOEYYiYKmAkrUASeQRBCMf1wXMs2qaLlS2yzsyMxk9U2YlCeZU02w7Wii0wYDA7Hj9wrR0WFiaTSGoSgjBELikPdUFG4LkdcUuxZmBmNB6ph5bqRmeYVUMYhrg6lYJuOWi1XXA8C9cL0LAcPF6pIh0nLkR+EO7Y74mjFlEM6cYWtaaFmdE4dNPBRC4GVeY79tTygY1xptO/RluOBz8IsbLVRNt0wXEMgoAMX86NJfoUWA7LlckkkjEJfhAgl1Koavcx6X5W9ZaFZ2sNLG028OU3pzCWjeEzN8fwY3cdfgBkExI0VcRqsQWGYRCGIQzTAwPSiA0gavLuwjAMbs5lUG6QoaKkJuLpah2W42EkTRq+u1ydTqPcMIEQyB5C3aratLBZbkPgWcyOJ3bEf65HYj7HDTCSVodSdYNCOQ90nS8rDRMCzyKTkPFsrY6/+niDNNtkVIxlY8gkSSOo5bioNR3i7MAAgsDiylQSL9YbWC3qeLRche34yCdlfPMzs2i07T2fe8se3Ev8Hd/TRZVF/Prn57C80YCmiueqSHgeEQUOtxYyqLdsXJ32IYlc33nspOmu2TzHYG4i2fdZum7Qp/i+W86CcroEQYD37hdQqhnIp1W8fWME1aYNhgFySQW66cKwXAg8C93y8Hi5SvJr8xlcn01Hqo/HuX8kgcPt+Szqug1Z5PuK6NZAPNnQ3aghuW16kAQOfGf4I6GKkXLr4HqyXtLx8ZMSWIbBOzdHkEvt3tztOB5++ukmmm0Hc+MJ3F7I9sXGh0EWeeSSCpa3mkjEJGR3EV05D0zmNSgSD8f1kU7IQ9eoTjkZEpqEatNCpWFifiKJxakUyg0TjutDlQR8/rVxGKaL6dF41IQw1Rmyk0QOa0UdtudDA8kt+0EIntv9TGY5Hn76ySYqdQtty4nyhyuFFlqGg5tzGXAsUZRttMlZV1NECIIF3XRwM0maiesDTlvH2TMWJpNI7HGO7OYHwxBDmU/YLYdAoVCGA8vx8NNfbkI3HSxMpjA1omGtqIPjGMyOJaKBCp5jcWUyiU+elzE9omE8G8NYTtu1qUCVBdyaz5ChCD9ATBbQMhzwHIPbC1nwHIsnqzWsbrUQMiE+f3cMMZkM2HebTGstCw9eVLFVaW83k3REXnTTRaaTi/H9sM/Z6PN3x9G2XJSrJl6/lkfukLEUz5EabrVJBkS69Z3dao2DseJ+50UKZXmriUfLNXAsg6+9M33Wl0Pp8JW3pvDTTzbxgw/X8d98+xbN7w85YRhitdBCs70t5HLYeHqwPyQEcHs+i0LNQKlmoFw3MZ5V++L4btM2QMRK4ipRnO/dx/bCsBz89adbMCwPV6fSuD6XjnITzbbTd+744GERHz4qIptU8O6tMfC7nJ9ZlsHN+QzKdRM8xyKblHHveQUbZTKYmIhJsBzv0AIKvbWSN66PoN60MDeRgCyQ/J3nBzBtD4mYuG9tt1Alfz/D9uAHATlzDf69T4jBfXmwVnTWJDUJt+Yy0E0XmipCo2IWp4rnB33uNIP3HMswUCQeDd1GMiZicToFVWmj1rRwaz6Lhckknqw04AUBrk4l0TRcPFiqQuRZzI7FAYZBQycuPdWm1edK1zKc6LnwghCFchub5TZCkLpyEIRkSAwkXr69kEWzTX5mq9KG6wckLyILCHF6LG02cO9ZBTzP4rO3x5A6phAMz7G4NU/i56PkMA9DGIYkb9N2EI+JmBk9/LpOoVCOhm55SGsSijUDDEOGWC3LgywPVxv9rYUsDNuF7QRYmEggxPDVHWRJwHv3t1CsGbgxm8Y7N0fP+pLOjOG6+yjnCuI8EUT//ea1kR0HfkngIlWXw0BsgXkYlou25YFnWZi2h6Zhg2OZU5+mHVTtUyQ+StgeRD6tIhWXce95Ofq77Gb5+NGTYmRR3NAdpDQJi9P9SgS5pIytioEnK3U02jYEgcXHj0vIJWWM53ZXocmnlEg5VZH4KFhumy42ym2irOCHWN5qYnEqFV1f2yTFOkngDu2qQQr9B38OLzYakcrzs/UGYrJwao0ql4nBw8APP1qL1NEdh9gNDj6Lqbi862FkfiKJlUILS1st2I6PtuXh6WoD+bSCFxsNXJ8lNseZhIxC1UAQhGAYIJOU0WzbqLdsYinu+HD9wyUIumpTvVbdqsxDEsi9EVMEyJ3mkMcrtUgJ6tFKDW9dH6GHFcrQ4QchnqzWIoXYJyt1vH4tf8BPDQcsy1yoZu3BuCWlSVAV4lKwvNVEOi6j3Wmse+PaCK7OpLBa0JFQfbh+AJFn8fPnFaTjIu69qKLeIgmw3fZ7ge9/L00VEVP4qKlrbjzR13S/H9mEjGLVQBiSzySTkLFR0lGqmfD8AC82GhjNkKT7s/UGbi9kj/y3YZiL9VmfFbmkgqbu4NPnFfhBCMUS8MMP1vF731jE841GNAhcbVrIdAZ4GjrZb+MxEWEYolyzwC4wuzYJcRwbDWE+W6tHTjlLm02oMh8NQ7Isc2jnDdv18WytHqnj+H4DN+czfd+ztNmMVHRfmA3EFP7CDKtRKK8agWej/cHxAvziYRGywKFpOPj0RQXf+MwMGDBgQNbm5xt1xGQeosB33B5EMCyDh0tV1Fo2BJ7F0/UGbl3J7atomoxL4IssKfgwOLAZOqGKuLt4MeKZV4Es8hjLnv5ZeHDNfr7WwEhGQV0nAzzJuIioIsbsnrOgnC73XlTxdLUOgOSEYorQJ9jRVW9zPR9tw43yVIbtn0hOTJZ4jO2Sl0nFJayXdHJmYYBrM0mUaiSOmB9PwPV9BAHAMMDCVGrXONXxAvzww7Xo3PPDD9bxu1+/uut1/OJhEasFksP6+EkZ6bgcNawfloZuo1A1IItkQGK1qEfDJeeNw4peUC4uHz4sRMqWz9cbSCWkyIXHsn1kkvKOfXVqhDhykfVbipx5UnFpX/faXzwoYL2oo1Btd5qYRBRrJsayKjRVQLluYTSjQhRYTOZiaBsuNmqk4Wk8G0OpZiIVl5COS9gob68Lx9kz9jtHHuVMcl45au2DQqGcD3726SbWSyQOef9BARslPYqxnq7WcXdxOzZbLeoQOA4Cx6HRdjA/ubeomSoLWJhMwrA92J06zfRoHKLAoVQz8P6DYvS9K5t6X3O76/kkRgxJTO8HZO1NxCSwLIPZsThanX1DUwVI4vZ1rBZayMRlZOIyqae2nUOrV4q7rGO71RoFjsU6t70nnNfhWcr54Ds/WwEAfObW6Ll1y7uMfObmKGIyj3LdxL0XlX2FIynnn1LNjFyYDMuDKHAYzx0uLt3RH6KK4DkWuuEiCDouD+sNvH41HznpDfYJTO0i8LoXf/3pVuRA/vMHW8imJORSKsYkIi7RMhz4foj1cgvlmtVpNnegSDzevD6y62vyHNu3f1m2F52var4F7gi9BIPnkpGMisF3PSgXoxtO5FTiegHquo18Sjm1PTMREyF0hOWAnb0j5wFNFak45ytC7Lh8Njt9WYMDvX4QwrJ9iDwH0/GxVmxDkXiMZTVUmzbGsl7knON6Pl5sNCIht+cbTdxeyPb1zJXrZlSPnhmLR86iqsRjvaxHz+LT9Tp+lZnpu5ZeNw3PJ89KTCYu1qfl2GJYDn788UaUL/+rjzfwm19aOPbr7RY/nwSFqhG5aRuWR/MNFMopElcEuF4QxTluEAzdAAcAiDwb9ZaAZYZy3/3T7z+JnKA/elzGzNgavvT61Blf1dkwfHcg5VwQhiEcb3ua1/dD+EG4o3H84yclPFutQ5EFfPGNCSQOWDA4lkEuJePxsomUJiKXViDyHDRFQLDL6583uu4jDd2BJHK7Hl57J5MBoqAzSC6lYKOko226iMlCpLrT3uV7u0zkNcQUAZ4fIKlJ4Nh+pZ4uvV+PZlSoMg/bIc0A+xUAj0N3mAVAlHzerLTR0G3EFAELE8kD1cUpexMEAX7yySbuP6/C9XyMZlXEZHGH+sJ+TI/G8eufm0W5bkA3XLRNF2EAOE6AVtvBvecVeF6AibyGOwtZ6CaxD1VlAbrhYnYsDtMmh4juEEYvDd2OnDRmxxJRkqPv3gCQTSiYzGvwgwCpuAyWZRAEYZR8ALbXmb2UBimU80oQBFEjEwDY3vlSRKHsjShwuNNRBXE94sgVhiEKVRPvPyxgLBvD5AhpiB1Nx9Bo28gkap3kqQEvCBGEIViG2XW/74XEEDk0dHvPGAIgMdjSZrNvL9VUEXeu5NA2XWgKGZjcqpCkuB+EKNdNrGy1EFcF3LmSA7A9xGG7Pp6vNeC4PkYy6qET/ZTjkUsp4FkGHz0udhquGTieD88Lohit2rTQaNmYG0sgk5Rh2T5+/mCr48gBxBR+R9J0Nwb32t7YfT+2Km0UKgYEgcXCZBKeF0TJTfK65DorDZMoVbLMDmUf2z3Y3e2i8NNfbmCjrCOpyfjSGxPRICqFclweLdVw73kZosjhjWs5eF6AeEyEILAIQ+DWXAaPV+oAAI5lkU3IUBWBDB52FKxqTQu260OROKgScbrb7ywJkP2F4xjohoepUe1cFv8uG+W6ifUSWWcXJpOHWlfdXdbsbJI4Hlod1UCAuMQpEn9oVULKyWEMPIuDX3fx/RAMC6yXWuA5DuP50210lkUed67k0OrcGyGAn36yAc/z8faNMYgCi2LNRDYp77k+OI7Xd+4ZdIvrxbD6f++2eXSF/x2xjnv256zNso737hXghyHeup7H3Dh1KqIQBvPBTd1BrWmjodsQBbavGbdLUpNwZyELw/JwdzELy/YRApFLziAbJR3FmoFna3UgJCqYDEOEVDiOhcCzCHzSdDU7nkAmIRE3iStZ+AEZ9ujGso4bIB0n5w7d2M4FUigXFc8P8Hy9AcNykUnImBnbfSiw1rSwUmiBZRnMjyeGskB+kgzrvmdY2zFDEIZoW25Ut7AH4gnL9rBZ1mHaHhSJx825DAR+70EOjuvWCG3wHBu9bnsg9hmMhbpxPM+zmB1NwPZ83LmSAwNEub5ay0IQhEjHZWyU2yjVyDCr659sTNRba0x1ao2c1B8rntY5optrYlkGCxNJel4ZQlzPx//+i1UAwLc+O3vGV0PpRRQ4fOG1CXznvRX84IM1OsQx5AzuV92133E8/NUvN1BrWhjPafjcnTGwbH8vxl79Ib37Rxiir7kxpghRn0BMEQ4tggrsPAu1TQ+5FPlvWeSRiInY6IhKmLbXOSMRQZvDElPI4KTrkbqEH568pr/rBXi+Xodpe8gmFUz3CFH0fh4Cz2J6VMNEToMs8afiQiHwHO5cIT1Jsshd+piUAlybTqPWssAyzI5hCJ4jjhqW40ES+T7XDgCotmy82GwiCELkknJfbnlwrUlqEm538hSaSoRZcykHrudDkQX88kkJYidWlkUOnhdAFHfvB8skZNyez0ZON9315iTQDSf6nTRF6PudjDN0pt7vPLlfX99u9NaRPndnbE83ZAqFshPT8TE9qmGrYoABMJpV4Tg+xF3ys+eZ8byGUs2E4/lDk48ZpFI3UawZ8L0AksSh0hkMvIwMdff03/t7fw+/9Vu/hd/+7d/G3/k7fwcPHjzY9fv+7b/9t/jWt76Fb37zm/in//SfwvPOblO+KDAMg9GeifRMQo6Uo7sUqgY+eVqGYXuoNEy89+nmga9r2R5WCzoUWUBSk9A2XcRVESMZ9dwPcHQReA65lLJn8+XV6VRkGSeKHOYndi6kz9YbYFkWM2MJNNo2PD+EqggHqhImNQnZpNI3jJGIidsHaQaROnOXuCoil1J2fH4nQa8yY0wRYNke2UDcALWmjY0e603K0Xm0UsPSRhOaKsJ0fOiGi1RcwsQRJ7JzKRUTOQ0Cx5KBISaEKLAwHR9t04Xt+nix2YhU97pF20xShiILSMQkKLKwQ1kvDEM8XSPJDMv28WS1jrBzQorHRCjy9n05klaRipP7tzuANKjwn03KJz5oRKG8CgSe61NeHVyHKecbUSD7+twEKeCTgQ4fDIh6siTwWJxKIx4TMTUSj74vk5CRTchgGWbP/X4QgWf3jSEAoFQ3d91LFYlHLqVEjlf5NImdAj9AuWEhBNC2vGiSvcvyZhMtw4Ht+lgttA4cNqG8PKmEjFvz2WgocWYsDlHkMZpRYToeynUTksRBEomq/utX85geiSMmC9AUAW9cGzlUkWQkQ5SeAECWuEOpMBqWi5WtFmyXxBXEwUOApm4XGkazKlzPx7P1BmzHh2F5MGw3ei9F5g8c3L4oPF2t4dl6A6btY6vSxkePS2d9SZQhp6Hb+PnDLRi2h3rLxoePSpF7hizyuLuYA8exfc/3eF7rFF8FyCKHzUobksAhn1bgeQFYlkU2JWNqZP+z5NJmE7bjQ5Z4lOvWgUMflNPFcX0839heZ5+tNw71c6rE963Z3TO5pgjIpRSIAhfFNrQh6my4MpWMckI8z2JxOrXr9/lBiNWtFgAGnh/siOFOA6nn3ni6WkMyJiGbVLG8RfIO12bS+w54aaqIifx2PuJKxwV2NxanU+gKY6oSj+mxo7lwAMSNoKsMyDA4F65xP/p4Ay3DgWG6+Oknm4ceoqVcfHrveUnkMD0SQ8tw4PkBDNvbszivymT9ViQB6YSMTELe1aG2ZThYK+pk+CIho9F2oMlEqX12NI5ETITvhyTHLPFwPT9qQpYEDtdm0tEZQ+DZaFCENGQodICDcuFZK+qot2w4boCtihG5Wvbi+wGertVhOz5My8OTjrPWZWZY972rM8noPJXQpL6YZTBvy3EsWoYLryMw1Wwf3FDKcyyySaVPtXsiG9vO9zHA1Zl0388oEh/lbXiexfWZNPIppS/Xl46TYVrddLHeWfObbQeu60e/jyRyL+3cBmzXGntF2KRTPkeQ5thG9Iw9XaufyvtQTpef3dtCy3CQSch4aw8FfcrZ8dW3iartX328AZeKjQ01uZQS5RZYlolc8z56WsZGqQ3T9vF8vYEnK7vnk3brDxnNqn3/rg4oUsudGtRRBjgA4OpUOtqn4jER4z1OwZWGiVrThiIJEDgO9ZYNPwhhOz4S6uH3m5GMQuoSMQkxRTiRvXCQtWILDd2B4wbYLLdRa23Hi0lNgix1Gj8ZYDKvIZdSTmWAo0u3J4kOcFAAsg5kkwrSu+QMskk5ej4Uice16VRf7FiuGjAt4iS3Xmojpmw/42O79DR08xRdEYhETEQ2qUCVeMxPJKFIPBSJx+x4AuIBomexnpz1SfJ0rR79TuW6gXRye024uk++8jTxBs6Tg7FuLqVEPZEcx+zrhto0nL460o9/eXAvJoVC2UaVBMQ7jlExVUQqLg3dAAcAOJ2abiImoW25Ua/lMMFxDFzPhx+S+E9Vhu9zOCmGWib0n//zf45EgjTKffe738U//sf/GH/6p3/a9z2rq6v4F//iX+Df//t/j2w2i7//9/8+/uRP/gS///u/fxaXfKFIahLWii0EIZCK7zwcWAMTrIMKvbvRO/U7lo3BDwJkkzI+fFzCz+5t4eZcBneu5PBsrY5m24GmCrg6lRoqN4fxnIZvf2EetZaFkbQCVd75t/M6ye6xbAyaImByRMPseKJP2Xer0sZ6SQfPsrgyndrzEMhxLG7NZ9AyXIgC21d0M20PT1frsF0foxm1TzHgJBjNqIirAhyXqMcWqv1DG4NT3pSjYXeeqVxShipxGEmr+I0vzEPcYyDHcckghWl7yCRkzE8kokPclakUkjEJjudDlXjcms9ipdDaVrYM0aeoCZCk/d0rRHVDkfgdytPhwM8EQYggIAq/HMvg1nwWtZaFtUILy1tN1HULVyZTfQNbKU3CeklHGOJQFoobZR0bpTYEnsXiVOrAgoLlePjBB2uoNi2MZlR8+Y0p8Kcw0EShXJlKIt8mh+/DWgyfV8IwxPP1BmotG6rM4+p0al8FutN4/2frDdSj90+/1CCiZXt40kma5NMKZvdQW5zMa0jGRGyUicI5wzAo1Qx8+LiItCbjrRt5LE6n8bW3p7FWaIHjGKiysO9+fxwG98699tJETMSdK1lsltq4MpmE5wcIAjKE8osHBWSTMuYnkn2OR8B2DEI5Xb70xiTmJ8lgj6Zw+H/92acoVg2EATCakTGaIck5zw/B8yx+7XNzWN5s4KMnJXz6rIxCpY0vvzW9554PEAttReJJHKYKh4qXd7sfWJbBjdkMWoYDnmMRUwSYtgf0hAWaLOLGXDqK+YYxSXAczEEHkiO4oVEou+G4ft+z5bg+vvLFSWyU2uA4BuM5UuTsPt9t08VmxSAujpaL8awKy/ahqSLeuDqChYkErs1kMDmiHegSM7j+X8Szmu36eLraVcyTDzVg+SrRTRfP1urw/ACZuNx3Lxx2f95tzQaAn9/fwtO1OlRJwJffnES6Z8CY8mrJpVT81pcWUG6YyCX7i+2eH+DJSj1KuKfiElSZB8sAinS8wr9huXi6VofjBhjPxfDz+1t4tlZHXBXxu1+/itweQxkN3cFGmZzF8yml44p58Pt99a2pHWvWbsyNJ5HSJDR0B6NZ9VhOVgLP4vYV4hIgi1zU4HhWBEFAmig7+H5IFAdpjoEC4oT7N744j4buIJ9WYTsepkc1mLYPgWP68lcbJR3rJR2luoFETEIuqWBxOrWvsEnvPjGWiWEso2I0E4Oq8BB5DnMtC8/XmxB4FqLAwRvI8SU1CXev5GA5PmKKQFw7ghBPVmu4v1QFOnm5cs1AGDJ443oe1wYakCmUYWZHLLxL7OUHYZ+C60WMl4/Kzn3Pg8if/7zn4lQa2YSCJys1BCEQBiFmx+KIKUIUmzlegB9+sIonq3V4XoBUXIJheXi8Ukc+rR6Yi+yNwcayKqZG4viNz89is2JAU4Udg7EMw+DaTBotwwHHsfs2fQ7ee6osYHY8AdvxoanCqQhhvYp8sB8E9Bm7APyXv14GAHzz3Zmhqt1fFu4s5JBNyqg0LPziQQGfvztx1pdEOSaKxOPulRzalgtVFiKBA2cgX225h89XT+Q0JGISfD9AXBWjHoJ6y8aLjQbCEJgdj/ftYa4X4OkqyWOk4hKuTCZ3NJBfn0sjm5LQNj2M57W+M3LvuUQSOdyYTSGmiIgpIlLxw+euskkyeG47/qFrIUdhq9LGJ8/KME0PozkVqiTA87avnedY3J7PomW4EHgGHz4qYbXYQlwV8dW3pi7FoIUfhEPdw3WR4XkOpZqBjVIbY7kYZsc0rBWaaOgOrk2nIQ3k0zRVRKVhQeQ5xA8hDtdLb+1zMr93XvC06V1bGIbF196cRqVpQRS4MxPbDHacJ/vzMqos4LVFsq7HZGHfwRbH8XbUkV6GtWILWxUDokB6rKiQB+WiE4Yh4jERD5aqYBjg9kIGQRAOjbh8Fz8IsFVtw3F9zE8kEQQn70R22uRSKq5MpWB1HJ5E4fKuP0M9xNEd4ACAVqu1qwrVf/7P/xm/+qu/ilyOWEL+wR/8Af74j//42EMcYRjCMIzjXfAF4/7zMoJOYPHwRQlvXM31LWjpGAtNZlFr2WAZ4Mp45sC/HROGEPkArTZR850di+O9e5toGUQF9IMHm0DooqmTr03TAg+/T+nvPBEExKJ+8N4UWGAkKQCBB8PYeXhOaxxWCyYAIJ8SMZ2XEXgODI+o/FiOjyfL1ej7Hz63cWs+s++1iByAwIeuO9E1PV6tk781gKV1CxIX9Kl2nhQiB9iWCVUIEQQuXDcAxzGIyyp9nl6CxakUnq3VYdo+EpqEL70xsW9zwHpJjxR1y3UTSU2MEi0TOS0auMgkZWSSCjw/xNJWMyrUqjK/I3AReA7p+O4HCJZlMJ6LYbOjEj+aVfsO6xzLwDDdaFCk1rRRipnRwanbqN21XHy+3kA6Lu8ZOBmWi7WCDoAMuCxtNnF7Ibvv3/CTp2WUauRZ2yi18WC5+lIWwl2nkd32I8rlhmGYU1F+OQsqDQuVBlGY0Q0Xa0X9yE2QL3MIKtctVHvef72kY25898GLw7BSaMHs2DkXKgZSmrTnZ6WpIuYnOKLe4fp4tFJDKk4G4H52bwsz40mIPNvnnHXSn3suqaBYNWA5PgSe3TfZJIs85ieTeLHZwEapjWrTwnhORRCEKNVMpDQJ47kYnq3VEYaApgqHcmugnAzdBOa/+/4TlOsmGm0bQRBCkTkUaibiMSn6fHmeRdNwYdokEbdVMXD/eRlvXCOKdns9U6osQD1Cn25cFRFXRbQMB2CA8RyJsVm2fw1TJB6ZhBypk07kY0d+r4vAlckUnqzWYZgueJ7Fjbn94w4K5SCySRljWRVbFQNggJvzWbAsu6sjoyzy2Cy3YVouKg0TYQiYNnHR6TZfvnVj7NBFifFcDM/XG9F+EFfFoUxa7sdqoRWdh7r74HkaZnjRcd4AiPNWTObR7sQoE0coeg2u2VuVNh4t1wAQpfaf3dvCr39+7uQunHJktI7K0yDrJZ3swSB7eyomod62wQC43cn5HPW5XNpswurED3/10TqertXBcyRX992freD3v3V9159zPT/KEZiOR1w7D8Fea9ZupOLykZoydoPn2EMJPrwKWJbF9dk0Hi6R521uIrFDuZRyuem95yWRQyImgWEccJ38GdDJbRV11FoWqg0bhulB5Dlsltv7iu8kNKI42zZdMAywOJ1Guuf5kiUe1aYN1wvAcyxGdnGukSW+bxiqWDfwdK2Bdicv/8nTMkYyCjRFxM/vb2FmLH6sASwK5TwymlVR18mZXJY4ZJI79yex43bXzSWfZVPSeeHmfBb3n1cAdPe94ckp8TwLMAxYhtTbarqN0R6H8/vPy9iqGFBEHqsN4lg6OaKB5xhslPU9RWC6LG+2ohhso9RGKi5DU8iwxV504/gwDBGG4Z41hqRGajWG5YFhiBhcV/G4y0nXKQbzweul9kvlY3dDFnlkknKU96XP2PCxUdbx4eMSGAb41XdnzvpyKLvAsgy+/OYU/vT7T/H9D9boEMeQ03Vb7eX6bBprJR2eF0CVeFydPlrtbrchwmfr9Sg/8Hy9gZQmRfX+jZ48RrVhIRETMZLemYvMpVTkUjvfL5OQsVVpw3b8Tm1OBMey4DhmR07zoHzI4F54Utiuj5WtFhKqiFbbRaFq4NZcFulEfy6C6+Qnnq83sLTZBADUmmRg6qtvT5/4dZ03ilUD9ZYNAGjqDjYr7QOdoSmvhvvPyyjXyQBDtWHhP/zoOUSBh8BzeLHZxM2ePrN4TEShYkRn/efrDbx+NX+k9ztqDOd5wYmLrE7kYlgrkr6hXEqBqghQz9iVuuuOXa6T8+REbmeP427r+m5kEjLGsjFsVUgf1kE9UfvRNl1slMjrWDbpsbo1T2udlIuN6wb49Hk5cjX7+EkJ//Wv+WDZ4cpzbpYN+EEIjmVR6PQPaWczp3ZsPnt7DOvFFmKygJgq4M2rl9fNcbjuvl34R//oH+FnP/sZAOCP//iPd/z75uYmJia2D6CTk5PY2Ng49vu5rosHDx4c++cvCmEYYnnD6psUFb3SDtXdCS2AxgaQeBZGfQ0P6od7bcYNwbFAaaOMjc0mbHf7jZ48aaJX5Fav82iUz98kVqXlodx0wTLAeFqEdkTLH94jitlOyOJBs/+etdwAqwU7+lrgGTBW4cDXrLY8lHquqap7MO1tNZvALECTT1dNnQ1CMB5xY1h+UTrV97roaKqI3/rSAqotG4mYdGBzwKCTht8zhTmeiyEdl+AHYaT+N5JRkYiJ8IIQssDiwVIVuuFClXlcn80cSvl+ejSObKfotdvEth8MXtP2/RiGQNCzyIRht/iwe4JmcKi097X24jAqa4elWDOw3EnKzI0nkd+lIE6hXAR2PreHn+i2HA+PlmskIRuXsDiVOnJz6OCz/bIT5YM/f9DrCTyHO1eyaJsOHi3X0K2FhiFR3wVOV1mG41gIPIeG7kASuUOtxV9/ZwalmoGVQqvfISkMkU0qiF3Nw+0k9S9Ss+6w0B1mJFseg1RCxkQuBo4lCdJy3cTVmTTcAQVC1wvg+wEer9TRMhwoMo8bs+mXUkJkWQbXZ9MwbA8Cz0YKXruxOJ1C2yRK4WetfH1WqDKP3/zC3KFjMQrlIFiWxdffmUapbkES2F2bm10vwKPlKgzLQ61lQVOE6FwehiHGcypuzmUh8OyRns1sxxHA9cj5/eFyNRoIuTbzcq5X54Ude374cjHESTN4fXOdIdmXXWcvg8vKRWHwHpgdT0CpGxA4Fvm0io+flI4cR/e+phcEUUMfADje3oqcqbgMWeQRhCFkke/7OcrevHNzDPMTSYRhiFxqyComlFcKxzKQRA6VOrG978bd3Wc2+t+w/+v9Xu/mXAaG7UHsuG30IgkcXlvMwbQ9SCJ/4L6+Vmzh3vMKlreakHgOksgRF4KuYW90/qVQLgZxVcTrV3OwHR+KLOzpLjk/kcRoRgXDMKfSJDhsvHV9BPPjCfhBMHT73mCtZHCd7TqV8jyLbEKBLHKYG0+AY9lD5SKPm78sVA2sbDXBMAzmJxI7HDsARC7ne635W5U2VgotsAyDhckkMicwuL4jH3xKZ4rFqRTa2cudaxpm/tNPlgCQtWEsez7FFynEPfFPv/8UP79fgG66+zr/UIaPfFrF3/yVK2i2bWTiEsSXHLoOw7BvDwvDPvH3Hbm1o9brBJ7FnSs5mJYLSeTAMsyOM4vr+Xi0XINheYirIq7NvFqHh+7vpMoC5ifIAOOtheye8aLbqfeYjod604bl+rg6k77ww4mD98JRaseU02UwF+x4AcSepT8dlzGei0WDUp88LUf/dpqq7g3dxvd+sQrDdDGWjeGrb02d2DDHRF5DOiEj6Ol9Og8sTJLzJMu+3HmS1JGm9q0jHZbBZ3UYlfwplKPieR58P4TREVETOA6eB/BDdgSVJQ6jaRVBGELg2KHce+cnkvjvf/s2ynUbE1kVijI84iAnzZDdfjv5oz/6IwDAn/7pn+KP/uiP8K/+1b/a8T29SiMvW3QUBAGLi4sv9RoXheyYgbUimcgcy6qYPCU3DCnZwPsPSghCYDIfw2dvj+LRSh2240MQWNyYSR1qGvUohGEI1wsg8OyxlGoc14fxrIrpjhCNwLO4uXi0aVXfJ9bBewWqqY0mqk0bDANMj8SQTsj72iQPXhPPs/j89TierTcQBEAiJmJxKrHv7+v7AYIQF6KB5yA8LwAY7PibntUQl+v5YBkGXGfjDYIAAs9BFHmMZclSftDnk0vJ24piIofkgNr6bknx7v+3UdKhd5T3DMvDVmV/BcBe9rPbG8/GUG8RJUBF4pHvKfawLIPpkThWCy0AwOSItm9SRlOESKmJPBcHX9+thSw2yjpMm1iNX5/d39FmL4IgJKoanS1mabOBXEqmjhyUC0kuKaNUM2BYHnie3VUpYi82Su1IYbreslFpWEceeMqlFJTqJszO+49lX65IPJHXoJs1BEGIhCbu65zRu84mNBlvXMvh4yckmXV9Nr1DhdTzAliOB1Xm4QcAy+Clk8ulmoG26UKReLhugI1SG7PjiQNjl3xahSILeLRche+H0FRhWwVW4PZt1qecLl98bRxblTZUWQDDAFcnU/ARwHVD8DyDesvGZlnHrbkM1rZaMGwPqiLg5lwGxZoZKV3ppovVQgsLk6mXuh6WZQ5dvDtPyc+T4Dixbm8sRqGcBCy7v8vSVqXdk1hkoZsuMgkJDd0GxxEl716bc9fzwbLsnoXFXrr7QW/s3zbdI8X+55mJvIaW4ezYB88L06PxyB0rm5RPbI2dyMcihxeOY46snkZ5dYxnYyg3TJgmiR8N20UyRmLT9x8WovNyvWWj1rJ2berr0n32p0bieLpWRxCEeONaHrbto1Q3IfAsvvja5J4/PzMaj5w5R7PqiefdAHKO9vzgVF77LNnvczkMjuuD51g6XH3Baeg2qg0LHMvAcXwsbTVxay4LTRWRiImwXR8t00EuoUAUWIwe4tx7UBzPceyuLkCDmLaHjVIbiZiIlCahWDUQU2J47WoWbZPEINdm01BlMXqOBX67ULhffppCOc8IPHcoUYT9ct2XkdN2tutdZ04y157URCQ1EQ3dAcsyOxorb85lsFrUYZguRtIKpkcTYBiSLzhMc3pvDJaKS4iru983jhfA8zyosgjPD7Dcib/CMMSLjeaeccVea75le3ix0SDDJmGIFxuNExniGMwHjx+QD36Zz+2i5ZouC5bj4bvvrQAAvv3F+TO+Gsp+zE8kMDMWx8pWCz/55Qa+9dnZs74kygmjyvwOsaHePoPD0s2VT4+S+yUMQ+TTSl+OcSwbQ7VhwXJ8JGICcqmjn4c5luk7p2gq2RM9n7gIbpa3c6Etw0GxZh64D50kisRHbmwCz2JhMrlvnnV+KomnazVsLbXBsgzmxhJYL+rIJuUL7WQ4kiYOA7bjkzPsId2hKafPjdkMVrZaaLZdxFUBn709ivcfleB5AXIpBTOjcTAMotpY5D7I4Fg1ge7QyEG5gY8eF2F0XLO3Km0832jg2kz66L/gHpzXoXtR4HASx5qD6kiHJa4KSMUl1Fs2WJahDjrHoLd/jzIciLKIuCKi2SY9FklNhCgOXz7z9at5/PjjDfhBiKnR+NDuvXFVhiKJQ92L3O3Vepm6zvnctY7B7/zO7+Cf/bN/hlqthnR6e2MfHx/H+vp69PXGxkafM8dRYRgGqjqcN/1JM6+qmBpLIwxxqgXXO4sqFqbycD0/aqx851YMjutDFLgTL2o6ro8HS1WiuiTxuDF3OMeBXjjXhyS1o695nj3SfVNtWni21kTYKZbvZs18e1GF5Xgo1y1slHUU6jqmR+N7Hlr5wWviWIzlU8hlEvC8AJLI7ZtM7b2mkYx64lbJ54m1YotYxjHA/DlwVHix0UCpZoJlGeQ7zctBECKXUrAwSdRZy3UTLzYaCEPiqtF7oAqCEI9Xa2jqDlgGSGki6rqNj5+UMTWiYeIYyg8npcIpSzxeu5qHu8fzPJ6LRU4eh1lnFqdSsEY88Bx7qKJxUpPwW19ehGE60BTxRK0awxAncgCjUM4bHMfi1nwWjutDELhDNYV2GVw7Qhx9LeE5FreP+f67kYiJeONa/sC9sNIw8Xy90bc3313M48pUEkGAHc0wDd3Gd99bhmn78IMQi1NJiAKHhcnkSzd29RKCxC4Pl6uw7P1jF00R8EbHdeOgfZ/y6pgeTeD/8ruvo9EykVB5/OjjLTxZrcOyPcyNJ2C7PhptGzfmMvibX74CvWfPanYGONoWsbut1E0EAXHJoByN3Z5xCuU8EoYhwjDERqmNtuUik5SgSjyerTewWtBRqplQJTLc/GS1jnqLDHdcm0kjfojGzYvMed8HMwkZ8Wsj8IPgRIu6LMvim+/OoqHbkETuQheMhx3b9bG00UTbcBHXRIxmFHAsiekGo+a9juRhGOLpWh21Jim8XZtJk1jXJ/fVjZk0SnUTSVXcV9VoJKMinZAQhDiVYV/DcvFwuQbPC5CIibg2k770Qwt+EOLxcg0twwHPs7gxm6aNwheYIAixVmhheasJzw8xN5HAwngSlaaFZtsBywJfvDuBbFI5kXPvceBY0qB0ZSqJOws5KBIPy3HhBUBCFWHZHh4uV+G4AWzXh9ApUu2Xn6ZQKJSjYDkeHi3VYLs+VJnku05qUIxhSJxkOz54fmctQVNF/M0vLUQ5GJZljpSLTMWlvhhsNzbLOn7w4To8L8BEPoYvvT6xM+g7ApWGiccrdTxbayAVlzCSVveMGY/KUfLBtuvj4YsqbNeHIvO4eYKfG+X88lcfrUM3XYxkVLx9Y/SsL4eyDwzD4KtvTeF//PMH+MEHa3SI4xLQ22dwZTJ5qAHM3lz5eC6GO1eyeLhURbluoWW4uDmXIY3IILXwsFMUP4lTS6FqREONUyPaznzIy2yWx2R+IonxXAwcyx7YNyTyLH7jC3NIaiJYht3uPRg+cewjIfAc7l7JnVoPF+X4SCKP+ckkag0LqaSE2fEkZscSMGwPiZiIatPu6zM6yv0+SNcRDp0BsP1yA4OC8eElMPs8b31owPa5yHIO32NF2aZlOHi8UoPvk+H9q9Opc1d3ouxONq3AcMggWSZ5vgTfDks6LmNhkvSSDGsPr2V7eLBUhesFiCkCbsxlziQP/jL4foCHyzW0TZeI/M9ljuUsOrSrr67rKBQK0dff+c53kEqlkEql+r7v137t1/Cd73wH5XIZYRji3/ybf4Nvf/vbr/hqLy4Cz70SxTxV5vuUsdmOle5pBP9blW2VcNP2UKwZR34NSeAw0XEmYRgcebFc2WpGydVCxYBle3u+z2ZZjw59q4XWnvZIosBhckSLrml2nDT58xwLWeIPDCRWt1rRNRWrBgzLPdLvNCy4nk8CZwAIQZIEZ0jbdMmkO0iB98MnxcjCrlw3oXeaN1d6Pp/NchuO60evUWtZaOrk+4IQeLBUAzpplLWivsNCcTdGMmqk2qFI/IkWY7kDnmdRONo6I4v8kQ4XIk8sBl9mgINlGdLsyQBggNmxBE1OUC403X34qAH0ZF6DKJBnLRETkTvmMMNx338vDrMX9q6zvXuzKou7qpl+8qwM0/bh+QG2Km2sl3SEIbC81Xqpa82nlEiRThI5TORiKFQNWPZ27FKotvf8ee6Q+z7l1aKIHMayGipNsu9rigiGAe6/qEIUOCRiIgoVA54f9O1ZI2kVMUVAuW5C4Blk4jKqncYvytHY6xmnUM4b47kY/CBE23IhiSRGvr9Ug2F5CAEUqybuPa+goTuot2wAgO+HWCvoh36Pwdj/ZV2vzhPnfR8UePbUhiySmkQHOM45nzwrR42EpuXBdslZnWGAt66PbMfRmrinonKz7aDWJM9+EIRYK7ZIrNv57DmOxByHsaUW+NNza1sr6sQBtXvNLetU3meYqDasyGHN84Lt3BTlQhKC7OVO5znw/AArhRbWi2S/FjgOmxXjRM+9h6V37+c5FtdnMogpAliWgSqLSHTOv5uVNhw3QBiGWN5sotEma89++WkKhUI5ClsVA3anzmFYXlQnOSkYhuQX96ol8D11g+PkIntjsN348HEpioc2Sm0UqiYR52KOW1dsgWMZZFNyx/3cx/zEyTVyHPZvsFVuR5+baR2vxkoZPv7jT5YAAL/x+bmha7q5jHzlzSkA5AxaaZzs2ko5XxhWf5/BSuFw9anlzf6+g61KG55P/g/b8VGokrV9s/P/iwIH0/JQqr/c/RSGIVY6AxwAyR3kUwpkieQmYoqAkfTZ5CllkT90QzvLsri9kIPYyd2O52LHauYbNk6zh4tyfArVNlw3IC43bohC1YAo8kjFZbAsi+We3rRun9FR7vcu0RrT7V0r7p8bePNaHkrn2c6nFVyZSh7r9xsWzlsf2iBH7bGiENYKOvzO/lhv2WjotD4/LDAIIQk8JOH81gsPYrXQAs9xiMkiSjUTujl8fbwb5TbcTl6kbboov2QseRaUGxbanb+96wXYKB+vrjO0kWKr1cI/+Af/ALZtg2EYZDIZ/Mt/+S/BMAz+yT/5J/j617+Ob3zjG5iensY//If/EH/wB3+AIAjwuc99Dr/3e7931pdPOccMLs7HXaunRuIYz8bAMMyRDyo7Noh9fpxhmEjZnGH2/VZM5jWMZdTjXdNAvMYO6SZ2EEz3j9g5T5z17zn49tzAB9H9HPu+j+n/evB36HuJA+6ZLjzH4s6VXGRdStnJaEaNbGJpkppC2R1Z4vH61Tz8IBy6tWTnWrr/c85F399dp5nO67zcdXAci9sL2b71eHCvOOu9i3J8eI6J/nc0E4NhuX2OEIP3Hd+5H4IggGlvD3DSbejoHPUZp1DOCoHncGs+C4YhCtnE5rrnGxhyRthxpDzCtktjfwrlbBh83sYyMdyYTUc5nPFs7MA4ejDXc17jwsHrHNZCyUnCDnys9E9yseFYFmPZGEKQE6PUVTXvyUme5T0wM5bAZF7bN4fc+9wyDAMmOvseLtdIoVAoB7HjTHPBFpfBOI1lGYznYhjJqGCwM1467OtlEwpScRlvXM1DOYOGUZqnvHw8Xqnh6WodPMfiV9+dOevLoRyCkYyKW/MZ3H9RxQ8+WMfvfm3xrC+JckoMnrUPuyYP9h1wAwfW7r8f9/X3fl+mr/cFDDkrvbaYH7o8ZToh4y1NQhiG4IbouikXjx21rx0xdm8i4vg5uoE2q6726Z6k4jJ+56uLcLyTdaU+v5yvPjTKyTBYd6Mf63DAAhjNxJDtCM6+CvH602Dn2ftsruNluAh5n5P6HYY2WhwfH8ef/Mmf4D/8h/+AP/uzP8O//tf/Gjdv3gQA/OEf/iG+8Y1vRN/7t//238Z3vvMdfO9738Mf/uEfQhCoFT1lb8ZzMWiqADBE3XA0c3zHAa5jI39U5ieS4HkWDENs5vYKWhmGwfwEUfxnWQbzE8kD3++41zQ3vn1NU6PahVUL4DkWcx0XBY5jMD95tpZTqixgckQDwxBV1s/cHoPQ+RzGczGoMlnPFiaT4Duf7cxoHAK/HWSk4hIZLmAAWeLw7s1RcBy5Z+bGE0dKHAxTcuQs4FiGDnBQKAfAMMxQriVzEwnw3PbefJAq8evXckjFJfA8g8WpJGZG4+A5FvMTJ6Mk0vs3HMvGEFdFErvERIxmLo5i+mVjPKdhcToFhgFUicc335091H13ZSoFSeDAMMBYVt3VHYayP73P+MzYwc84hXKWpOISxrIxgAFGsgrevTWObFKGKLCYGtHw2tU8kppEmn8Y4tw0Mxo/8vsM435NoQwzry1mkY5LQGc/vz6T7svhHCaOjqsiRrOdZ1/gMDN29Gf/VTA1opGmQgbIJmXye19yMgmZWLczgCLzmDrGuk0ZHpKahCvTKSRiIkSRw+x4AjNjccyNb+ckFybPVoXyoBzyZD6GmCKAYRlcm0khnZAOnZ+mUCiUwzCR04gbLQMkNfHMlLdPi3dujkCVeDAMcGUyicm8BoDUGI5Vw5tIRDW8ubHEmQxwACS31fu55S/Y50bZyX/88QsAwK+8MYGkRuP6YeGrb08DAL7/weoZXwnlNFEkHlM9fQZzh3Ro6vYdMAwwMxrH1IiGRIzUoOKqSPKS2D4TgOnpR3hJFiaTUR/D/Hgy6mMYxjwlOdsN33VTLhajGXXX57fLwsR2n9HsWOLIDhxdGIbkMbq9a93/3g+WPT1X6vOGwJ+vPjTKyTAzGockkvr8aEalsfCQwPMsPnNrDKLAQRQ4fObWKNhBhaUhYG48EfWPTuS3+0eHicm8BlUmdaJ0QkIu+fKx5Ksml1SQ6tT1VJmPcjtHhQmjMWbKQXzyyScAgLt3757xlVAolLPi/fffhyiKdB2gUC4xdB2gUCgAXQsoFApdBygUCl0HKBQKga4FFAqFrgMUCuUyrgMN3cb/6X/4L3C9AP/3f/gruDGbOetLohySluHgv/m//QU8P8T/4//6tT43aMrLcRnXAgqF0g9dBygUCl0HKBQKcPh5g+EbI6JQKJQTwrQ9VJsWHNc/60uhvAQW/RwpFArllWK7PqpNC5btnfWlUE6Yhm6j1rIQBHTOn0K5SBiWi2rTguvReJlCGSaCIEStaaGh22d9KRQKZUjpxvdUx4tCoVAolMNB64ZH43s/X4HrBbgylcT1mfRZXw7lCMRVEW/fGAUA/OCDtTO+Gsqw0a3N23StpFAoFxDdcFBtWvD94KwvhUKhUC489AxOuBy+VBQKhTJAQ7fxeKWGMCT2m7cWMpfGqu8i0TIcPFyqIgwBjmNwaz57ZjbhFAqFchkwbQ/3X1Tg+yEYBrgxl0FcFc/6signwPJWE4WKAQBIaCKuz6TBMPtbHVMolPNPvWXj8WoNCIlF8O2FLCSBO+vLolAoBxCGIR6v1NBsOwCAsayKGaqMSqFQjsDSZhPFKonvk5qI61QZm0KhUCiUfaF1w6MRBCH+/CdLAIBvf2Ge5hGHkK+8NYWf3dvCDz5Yw9/99ZtgWfoZUg5GNxw8XK4hCEKwLINb8xmosnDWl0WhUCgnwlaljZWtFgBAkXncms+Co/sjhUKhnAr0DL4NdeKg7Emz7aBYNS7VBH1Dt1GsGq98usuwPDxYqmB5s/lK3/cyU6qb6IrQeX6Aemu4lS27926vuu5aoYX7LyrQDefMrisIQpTrJsp181RUvcs9n6PvE5VSCoVyNhiWi2LVQNt09/2+lkHii/Pk4rB6DtbLYYEoj5CFNwzJOkw5HV5sNPDjj9exWdbh+QGKNQO11untc6Xa9mfZ1J1LdQagUM4bYRii0jBRqpnwDxFDe16Axys1PF2twfP61aHKdRMIt7+v3rLhd9aUSsOkytwUyjnFdnxUGxbWCi1sVtoo1c3tONo5P3H0ZSaKz2gegnJMdMPB/RcVrBZap/L6pZoR/XdDd46U774s9/dRYy4KhULRD5nX7F1fXrXbqeMFeLREzodBQNWDj0J5oG5Yaw533fC0ef9hAYWqgZgi4MtvTp715VCOwbu3x6BIPIo1Ew+Wqmd9OZRzTrlu4P6LCp6s1aO9LQhCVIfgzGC7PopVIxLKoLwagiBEqWbSHPQ5oPv8luvGgd/brR28imf7POY6e2ulpuXR3gEK5YKyX111mHix0cCDpcq5WkePwkXr3X0ZLufoCuVASjUTLzYaAAC+yOL2lYuv1lmsGljqDFHwJRZ3r2Qh8Kf/O1uOh7/4yQsYnaRvtWnhzesjp/6+l53B+3mY7+/Ncjsq+G6UWdxeyOHJag0fPCwCAD59XsG3Pz8H7QyU0p+u1aNNttIwT1z1TxK5fb+mUCivhrbp4v6LCgmwGeD6TBpJTdrxfZWGiWdrJL7gOAa357OQz9g955NnZXz8uAQAuPe8gr/xxTmoMnWW2IvB/fKyTsKfNp8+LePPf/oCYQj85JcbeOPaSPRMjedimB6Nn/h7SgIHsxOPsiwDgaPz/hTKWfF8vYFKgxRJSnUDN+cy+ypafu8XK1FxYWmzhW++OxP922B8LHAsHi7XoqHLZtrB/ETypH8FCoVyAnz0pIiWQZ7Vcs2IBmk5jsHthSyNw86QIAjxYKkK0yKx02hWxSx1SqEcAcNy8J9+ugTbIYMVr1/L4+6V3Im+hyRysGzy+hzHgDtkfH+Z7u+lzWYUQxVrBm7N7x9zUSiUy021aeHpah0AyZvcWdg7r/lsrRE1vlUaJm7MvRo3pCAI8N33llHtnCfXSzq+8tb0K3nvi8Dg50nrTfvzZz98DgD41Xdn6NlkSJEEDl94bRzf+/kqvvfzFdxeyJ71JVHOKVuVNr738xWEIdC2XMyMxpFNKgAASTjfz7/t+rj3rALPJw2a8xNJ5NPKGV/V5eDRcg2tTgN8LWljcSp1thd0Sel9fhkG+Orb05jMa7t+bxCEuN+bD8iomB0/nXzAjp6Bc5LrlMTtWimY4e4jo1Aoe7NfXXVY+Pn9LTxargEge+63v7gAkR+u/o4dvbuX+Aw+XJ8c5ZVRbW5Pl3p+gKb+6qdLTdPBDz5YxQ8+WIXpnL4ScLdJBiATd69qEr9UM6MBDgCRNRvldJnMaxjNqNBUAdOjcaQT8llf0rHpnYJ33AC66fTdR47jY6vSPpX3frHRwHffW8anT8s7/s0Pwr4pyYbuwPdPdoJ1LBPDWJZ8jlMjWpQwolAor5Zay4ompBECtc6zv1Zo4cNHRawVW9gst/F0tY6g842+H6Kun/0kda/qqe342KpQZ4n9yKUUTI5o0FQBY1kVY1n1rC/pwtHQbfzl+6uoNi2YlgfDcvG8M1wN4NTUb65Op5CKS0jERFyfTR+6yYtCoZw8vc+5brhw9lGBsRyvTx1qq9LuU42ZyGsY6Zx7ZsbiUGUej1Zq+OhxERtlve8cTKFQzg+m7UESOEgiB1nkoZvbeSPfD88kT3cYPD/AZrmNrUobQRBiebOJDx8V+xwBLgKm7UUFbQBRoySFcli2KmY0wAHgVNw4rk6no/j+2kwaHHu44YTLdH/3xkFt040+k0rDxEZJR61l4eMnJdx7XhlqVT4KhXIy9K6HQbB3XjMMQ1Q7Tqq2F+Ann2zgez9fhmmefvymW17fda4V9VN/z4vEeDaG0W69aVRDZojrhqfN0mYTHz0pgWWA3/zSwllfDuUl+OZnSMPajz5ah2Ht77JOubysFFpRDVCVePhBAE0VMDminfuBiIZuRwMcQH8fFOX0cD0/GuAATq+uddoUqgY+fFSMzuy+H2CrQvJew+Lm2Pv8huH++QfL6c8HHKZ2UK6T87PleHC8AJ88LeGTpyU4B6jC976274donJNc5/xEApmkjLgqYnEqdeZilBQK5eSxHA+FqgHddKCbDjbK+lDm/VYLLZQbFrYqbVQbJiqHcFs6b+zo3Y1f3jM43W0ou6JI/HaQxACK/Opvlf/5O49RrpND1LP1Jv7eb90+1fdTZH77IMGQv8GrIBETwTCIAueERtW/XwUsy5za1PirRpH4SEmXYQBF5JGMidHzAwa7KuK/LMubDfzJ9x6jez61XA/v3ByL/p1jGUgCB9slBVBRYE+8IZRlGcxcUDVACmWYGNwzVYnHi40GfvzxBsIwRKlu4tZ8BkEIOK6PiZy268+dBYmYuF3cZIAk3YcPZDKv7anSQnk5DMvBf/7pMsoNE1sVA4rMQ1MEqD3Pymk9N7LE49pM+lRem0KhHA1F4mF0iiU8z4LfJ4YWeRaKxMHsKG2rigC+R2mFYxnM9Zx7Pn5cwnufbiIIgWfrDXz1rcurakKhnGdiMo+YKkLqKNANCsOfRZ7uIMIwxMOlarR+3XtexmaZFA7uv6jgW5+dRT59MQaARYEDyzIIOgmR8/h5UM43SU0EGADdfHDs5M+hyjHj+8t0f/fmVHmOhcCzkeOx7wd4/1ERmiKA51gUqm18/Z3hU+WjUCgnhyLzQLPn6z3yMwzDQBF5mLaHv/poDQ3dRrFq4Pl6E//nv3X3VK9RFXmIIgenM5R2GvvLRYZlmQvrPnXS/NkPnwEAPn93AqOZixHjX1ZuL2QxPaphtaDj+x+s4dtfmD/rS6KcQ1I9fQYMw+DKVAo354bDuUUdrF/KwhldyeWCY8n5yu00xZ6HevBRKVQNfPe95aiP6wuvTcC0vegMWWvauDn/atzWXobUQJ/QfnVwUeDAcUzkBqwekA9YLRARRwDYqhrYKOmRyOtqUd93T1Ekvk8Q9rzcIwLPUdcYCuWCI/IsWoYLvdMjzIDpq6sOC6UaWXcBMrQqDOHvcJF6d1+W87ELUs4dUyNxMAwD0/aQTcrQlFd7mDFNZ7sBHWThMR0fyina5kyPxsEygOX4yKeUV3aAS2oSvvzmFB4t1xCTebx9Y+RIP+91pr3DEBjLxoZyUX6VeF6AB0sVGJaHTFKGKHBIadKpDDm8KmbH4uA4BrbjYyStQpZ4fObWGFiWQctwsTCZPJVGiadrdQQhadSwHR8fPCzi5lwWsZ714vpsGmudoGHqJRp+X2w08OmzMlJxGV+4OwaOo81mFMp5IptU4HZcrDRVwEhGxV99vA6AuPK4XoBKw8LiVArVpoVUXEImIZ+Ltffd2+PgORa64eLKVHJPRx/T8fHjj9ZgewE+e3sMuVNw/mmbLsoNE7LIYyStgBns1qNcCIpVA6bjIZuQoan9ydJizYTj+UjHJTQNB4Ef4vZ8Fp+9Mw6AJFCnRs5ugObjJ0WsbLUwMxbH61ePFrNSKJTDc20mjbWijiAIMZGP7VDODsMQxZoJy/GQSyr4+jsz+OhJCQDw5rV89H0//ngd1aaFW/NZXOkUHlYKTcRjIkzbA8MwcE7YKY9CoZwMosjjG+9M45NnZfAcizeu5tFoO1GeLq7uXXBdLTTx8ZMy4jERX3pt/JWdn10viAY4AGJD3rXDDkNgo9zeMzdh2h5KNQMCz2E0o4I9pGPAWSHwLG7MprFZaYPnWEyNxM/6kihDRjap4EuvT+DpagOaKuCtG6N9//5srY77LyrIJGR88fXJI79+EIQoVA24no98Wj1SM8Rlur+vTqewVtThBwEmcho4jkWjo6xvuT7apguxM1DbbUyhUCiXl4lcDGEYwrA8pOP75zWvzqSwtNGEYbqIqyIYhkG1aaGpO4cWcqs2LbQMB4mYeGg1Sp5n8fW3p/DJ0wpYFnhzYH+h7A/Nex2OesvG9z9YAwD8zS9TF45hh2EY/Nrn5vDH/79P8Rc/XcJvfH6O1iUoO7g2k4bteChUTeTTCkYzMSxvNZGMSUjFd+6Hvu/jrz/dQrVp4c6VHOYnkmdw1QRNFXFlKolKw4Ii8VSg7BXBsgyuz6axUWqDYYCp0eE7V26U9GiAAyD5NkXa7oNpGQ78IDy06+VZMfj87jeAxXMsrs9msFnWO/mA/Z+X3iEM0/awVWlD7gjSVBsWLMeLvh6k+yyatodMQj5w+Pg0a+i/eLCFzXIbV6ZSuDU/HANqFArl+AQhMDcaw08/1QEGeO1qDkEQnvuaxCBpTUY6ThzHcp1+rWGkXDfRttyh7919WegQB2VXWJbB9BkG0ooiIh4T0WqTqbdETDzVAQ6AKJSelaL/9Gj82H/vR8u1aNq7rtu4eyV3kpd24Xjv/haerzfQNl20TAefvTWKgiTg1lxmRyPlsMBx7A51IJ5no4bP02Iyp+EXKMK0PZi2D55n8WCpiruLuahRQ5b4l55U36ro+F//8kk08d82Hfz656kSDIVy3hjLxjCWjUVfZ5MyljaaYFkGHMsgoZGC5dx48lyp/Ys8i88dYr38X7/3GOudobTna3X893/rtRONTSzHw4OlaqR26rj+mcZilNNho6RjrUjuo2LVwO2FbN/gcDoug+MYKJKAsUwMoxkVt+azGM2oZ35o/eXTEv7ip8sAgPsvqgBAC9oUyikhChwWJvcubq4V9aiRsFQzcWchi6+9Pd33Pd99bxnvPywCAB4uVfF3f+MmxnMaxnMx3H9RjRrAZy5wYyaFMuzk02qf6nviELFAtWHif/nuY3id83NTt/Fbv3Ll1K6xF55jIQosHJcUC0bSyrbLL4BcavchaNcL8OBFFV5nqMxyvDNt8Dgsmiri6pDmkSjng7nxJObGd97rm2Ud/+4vn0TOt6bt4Zvvzh7ptZe3mijViEBSuW7h7mLuSMI/l+X+3i3miikCmm0HssBBFFgIPDn3ZxInL+RAoVCGC4ZhDj3YJos8bsxlMDkSj4bDYqqAmHK4XGK1aeHpah0AUKgYuDaT3rVJdjdyKRVfe4c6IxwVmvc6PH/x10twvQBXp1O4OXf+FcgpB/P1d6bx//mP9/Fio4lHKzXcmKWfK2UndxfzuAug0jD79qjrs+kdtYvvvLeCj5+UAQCPVmr4u79+A2PZsxueyCaVPQXcKKeHKgtYnE6d9WUcm8E8Vj6twvUC2B3HM0Xiz/0AR5fu83sYNEXA1enD1fE1VYBpE0EXSeCQjsvR15oq7DnAARytJ/E0a+g/+2QT3/+QDKfef1EFx7G4fo76GCgUysnDcyw+fFKB0xl6+PBRCb8xhD2I+awaCfXxPLuv09J5pVA1sLzZjP57mHt3XxY6xEE5t/z+N6/hRx8RFe9feePoimOXgSAIowEOADAtD54fgOeoG8dedAuYtuvD90M0DQ95UUDLcC/tRnBcbsxniTL9LzcQkwXcXsgiCEIYphsNcZwEa0U9GuAAgI2ycWKvTaFQTo+ukkepZuLtGyNQZQEsy2AiN5wqN8Xa9tpjWB4qdeNEFUkNy4uSTwDQbDv7fDdlWGka259rGAJt0+sb4khqEr761hSerTXgeAGmRzRkkufDtWZlq7Xja1rMplDOhlbPWhIEIdqWC3lAYbs7eAgQVZmVzRbGcxreuTkG3wuxUmxhdiyBN6/T55hCuUislfRogAPAK1WOZ1kGN+Yy2KoYYBjgzesjeLxSQ61pYXJE21Pt0rS9aIADoHEwhbJa0NFzNOzb0w9L73Pk+QFM24PA07znYZga0SLH49/72lUsF1rgORavLeYP/mEKhUIZ4A++dRU//HADfhDiS29MHtohrTUQD7UM59BDHJTjsVrs329p3mt3XM/Hn//4BQDgt798hTo2XBDiqogvvT6Bv3x/Df/pJ0t0iIOyLy3D7fu62XZ21C96a/m+H2KtqJ/pEAeFchymR+P43N0xbJTayKUU3JrPwnF9bJTbYACM52IHvsZFZ3YsAYFn4XoB8ikFN2bT+OQpGeC6u3hy4sODNfTe+sjLslLsr32ubjXpEAeFcsHRTQcsy0CWts/njuNDPGVx+ZPmi69P4uPHRdiOj+uzaajy8OV++3IfIaCbl7d3lw5xUM4tmaSC3/7K4llfxrmGZRnEFCEa5FBkng5wHMBIWkHLcCAJHBzPR0LlAQaIq8LBP0zZwZvXR5BLKVFjCMsyUJWT/Vt2i6fdQY6JHFWRolCGhZtzWdycO+urOBnGsjGsFkgiR5V5ZFMnuxbFFDLk0k1CHWQbSxlOEqqIZkeRmmGIEs0gRCn//BU05sYSuPe8En09M0bV+ymUsyIRE6F3CqbdM+Egk3kNWxVSMGUZYGZ8+5n97N1xfBan69pHoVDOhqm8FhVPgVdfUJZFHnPj206htxeyB/6MIpFcVneQg8bBlMvO9Gh/HmyvAaj9SMRElBwiZMNzLBSJloEOC8P0i09Mn5FzN4VCuRgkNeVYrmiJmIhCdbsBNn5JmxheJbMjcXzaaToEaN5rL/7y/TXUWjaySRlffH3irC+HcoJ8+wvz+Mv31/DDD9fx3/6NW8gk5LO+JMo5Ja4KKFa3v97tDD81oqHUEUbjOAZTI+ev3kGhHIbFqTQWp7Yb+kWB68t7XXZYdqdT3edfO/n4QJX5vhr6ScbGs2MJPF9vACB1W/r5UigXH00RkUnIkWtmNiEP3QAHAIg8i8/cGjvry3gpEjER1aZFvmBwaQc4ADrEQbkg6IaDjXIbPMdiakSDeIIuAOed67NpFKoGwjDEaIZOex/EZ++MQYuJMG0P2YQMgWeRisuXeiN4WaZGNEgCB9v1kU3KJ+rCAQBjWQ3/1dev4tMXVaTjIr5w9+WceWzXx2qhhSAIMZnXdm16o1AolEF+52tX8ZOP1+C4AT5zewzKCR/kJIHDrfkMKg0LksAhnz45a+feOGl6VIPAX5446bwxkdfA8yxsx0c6IUOReARBiPWSDsNykU7IGEmfz2HFOx3VnKWtJmbG4lSJlkI5Q6ZG4hD57fh7N1vyb747C1XhUWs5uDWXOZfDYZRXQ3efMW0PmYSMXOrkYgzK+SOTVPC3v3kNHz8tI6GK+MLd00/ib5R1tDrKm2PZo+elBJ7FrfkMSnUTAs+e21iIQnlVjOc0/B++dhX3l46fB5sdS0CR+EgNU+CPL/oTBCHWii1YDok7skm6j1AolMtLrWWhVDMhChymRzRwpySqlk7IuDqdQstwkIhJ1IXjFUDzXgfj+wH+5HtPAAB/6ytXqKjgBePGXAY35zJ4sFTFn/3wGf6737x91pdEOadkkwpYhkHLIHmA3VzEv/XZWWgqyUvemc9QF44TxPMDrBZacL0AI2mVxgiUXak1LZTqJiSB6wimDveeLYv8qdXQ3709Bo4DNssGFieTWJymLhwUymXg73zrBn7yyTpYlsUXXhtO0TvXC7BWJDHBaEbdNSY774xkVHAcg7bpkt7dS9y/SYc4KEOP5wd4tFKL1Mksx8Ot+YOV/i4KPMceS5HtssKyLO5eOTnrPgpRqBvJnG6Txex4ErPjyRN5rScrNRiWBwDQDRevX8uDY6nlM4VC2R9F5PCNz8ye6nuosgBVPtmDiecHeLhci9RJbMfHzXlqh36WDDYmbpT1yNGqoRO3sPN6yL6zmIuK2hQK5Ww5TPz9ssPPlIvBeml7n6m3bEgiR5V8LzhTI/EdKninRbFqYK2gAyBxjMCzx2rwliUe06NU7ZhC6TI/kcT8xPHzYCzLHGuoajdWiy0UOu5eZB/hL3VBjUKhXF5M28OT1TpAUmwIghALkydTs9iNdEJGmirhv1Jo3mt/fvTxBjYrbcRVEb/+ubmzvhzKKfB7X7+K/+H//TP8p58u4b/6xjUqgkfZk8PsUTQveTosbTQjxeqGbuPuYm5XgR/K5cWwXDxZq2/HrGH4UvmF88Jp1NC7vH1juJXsKRTK0UloIn798/NnfRkvxYuNBuot4ibSbDt4bTE3lKL32aRCRYNAhzgor4j1ko5fPimDZYF3b42daOLRcf1ogAMALNs/sdc+Dg+WKni+1oCqCPj83XF6aKJEOI6Hv763hVbbwcx44twOkwRBgPfuF1CpmxjJqENvvzWI5WyvEZ4fwPV8cPQ5pVCGig8fFbFR0pGMS/jc7XGwLPD+wyKKVQO5lILP3BoFyw63qshJ4bh+NMABkIIz5fRYK7Twy2dl8ByDd2+NIRU/OOYdjF1N29sxxPF8vYGHy1WIPIfP3RmjDmIUygXF8wL8/P4Wqk0L43kNb10fOdHXX9ps4P4Lspa8e2cMCbqWXAoG937T9ugQxwXgxUYDD5bOPjYYvL8My0N2+OvCh2J7TWXx7p1xuqZSXhlBEOAXD4soVQ3kMyreuTFyquffwefcsr1zM8TRGzuNZlW8c/Ni5TApw49hOfjZpwUYlovrs2mq6jrkWI4XNcMB5yfH1lt3mptI4vbC5RG5o7w6giDE//LdxwCA3/7KAmSJ1tQuIu/cHMX0aByrhRb+tx8/x//xm9fP+pIoHeotC+/d34Lnh3jtSg5Tu4ggbJZ1fPSY9OO8c3OUNsNdUExnO/4IQyLcRvuRKL3Yjt8Xs3bFTY/LJ8/KWNlsIh4T8bnbYxDp/Tb0FKoGPnxUBAC8fWMEeeqKTLmE9D4H79wcQS41fM9BtWnhl0/K8PwAU6Mars+mh3KIg0Kg3W2UU8dxPPzwwzVUGiZKNRM/+HDtRF9fFvk+JYhs8uyUaQpVA+8/KKLWsrFe1PGzTzfP7Foo54/3HxaxstVCrWXj48clrBVaZ31Ju3LveQVPV+uotWw8Wq7hwVLlrC/pROldIzRVgESDGAplqHix0cC95xXUWjaWNpr48HERj1ZqeLRcQ61l48lqHfeeX6x162WQRR6qvJ1QO8s46aJjOR5+9PE6qg0LxaqJH3y4fqifyyRloGMIxXEMUgMDHA3dxk8/2UC18f9n78+jK8vr+977s/c+86ijo1mlmqt67ma2GRpCN92NsQEzeMKOAwkQGh572cld8ePFilkkkDi5frh2bGLiC8YODtgXDxAg13S7jcE4Zmqaqemu7q6uQVJp1tGZpz08fxzplKRSDZKOdAa9X2s1SHWmr6q0f/s3fX/fimaXivqH711qdegAOsT3zy7q7HRWmXxVP3x2Sc9MZlr23oVSTf/w3cttyVe/c2NtFLrf+nu/zzI7ttoTblyuVNP//t666/m77esb9CdDMlb7MYahA3Na9MY2tUSbin31xPmMnlod/z51IaMnzreuv7CVdOLy5i+fz1Qi2jkJSz949nLf6cnzGT11cW//LoDt+t/fm9X0QkGZfFVfe3xWmdVTk9Gd4pGAAv7Ly+qdMsf2jSfmmutOj52Z18xiod0hoQd97QczmpzLKxLy6cdferzd4WCPmKahn37VaUnSX/ztM8oWqm2OCGu+/Ni05pfLWs5W9PffnW4kFq5Ts119+bHpdftxGKP2qvX9j2DAomIOrhCLBOT3tabPOjWX13efWlAmX9XF2bwefXK+FSGijVzX1Zcfm9LiSlmLK2V96dut3b8JdAPXdfXlR9ddB49253VwfiarTL6ifKmmZyZX5Kw72BXdhxRJ7LmK7W6olFEs11v6/qZp6OYjKS3nqvJZxq4XjF3X0/mZnPKlmhLRgI6OJmSsrUhfx+afrVRpb1WQqymW6zo/k5Prejo0HFPqBk6Jxu4VKxt/P/LlWkvet1Z39OylrKo1R8P9EY2ko7t6v0Kpfs3vO03ddvTsdFaVmqPBVFhjA7FrPv/oaELJWFCu6ymVCN3w9Q10ksm5vJZzFYWDPh0fT8pnHZy83EJpY9tZ2KJfUdzlqSK9xDQN3XK0/4b6SZcWC1rIlBUKWDo+npTfR5LbdlSq9oY+b6ly5e9m3XZ17lJW5aqtgb6wxgdj6k+EdOvRfpWqthLRwBWnJpUqdRXKdRVKNVmmuWHDAIDesnk8mb9KP3w5V9HUfF6WaerYWEKRkF/zmZJml4ryW5aOjSWuOBWzXLXlrT81dos2Cr0pnQwr4LealZ5IYu8ey7mKpucLMk2jea1LUqlcV7FcV75Ul2ka8rdxLBCPBHTb8bQK5brikYDCB+RE3s1taqvnOgHP83RhNq9soapY2K+jY0llC41Dg85cWFbddprjtc1j5FYbTIUVCjbuI32xYEed6LZ5PoBrEZ2mXF33O+k1fmcPSsJjp7OdxvxMqWKrPxHSxBYnmm/ms0zddjytTL6qoN/qmOTotbavbjvNRI6A3+IEdrSM47j67//rCUnSa192vGMqcmFvvPw54/rMl5/R2amsPvXQGb3rjXe2OyRoY/Unx/FUrtQ1s1hUrlhTPBLQUCok23YvP7/L5v027F0ZitFfuoaxgZiiIb9qdVd98eCBWh/GjfH7TN1+ojV91s37mfKlmp6ZWlGxXFdfLKjhdETnL+VUrTsaSUc13N99J9kfNLbtqla7vI+xVnNUs10FfLQlODhqtqt8qaZssZGwnIwFZduufF12HQT8PqWTIbmup1DAp3KlfsVhodgfF2dzyuSriob8OjaWkLWD/ll3/fahKyUiAY2kL3fWThzqa/lnWJapwVS4JQO62aWiFlfKqtYcLWTKms+Ub/i1Y4NRRdYmrwzpxKHkruPZC89MNjrW5aqts1NZ2Y57/Rdh104c6muetB0OWjoycv2FgRtxfianXKGmas3Rxdn8rhcsjx/qk2U1AvX5TB0f78zf4zUXZvLKrv78U3MF5a+zeG0YhvoTIQ30hWWZJHCg+2RyFc0sFlWtOVpZrfx0kBweSSiwulnFMKRTh/p0fDzZbLcsy9CJDm+39tuN9JPypZqm5gqq1hxlCzVdmO3MalGdLBENaDB1eYF8qz7v5FxeK/mqqjVH0/OF5mlmsUhAQ6nIlmWv4+GAbMeV7Xiq1h1FgiyUAr3qxKFk80R7n6+RoLFZ3XZ0dmpFlaqjYrmus9NZVaq2zs/kVKk6ypdqOncpd8XrUvFQo/LPquPjfXv1Y6ADxVfvMyRwdI+67ers1IrKVVvFcl3PTK00H4uH/bJtV7bjqlZ3FA61N3EiEvJrKBU5MAkc0pVt6sk9mOvEwbaQKWt+uaRqzdFStqKpuXyzTeiLBZUtNOa+LMvYl/nntftIJyVwSNKJdXMBV+s7Ae20fl4gHg1oeJeHL6F1pucLyuQa8zMzi0Ut32CVFL/P0lAq0jEJHJJ0aiIlGdJyvirTNJSIBPTsdFZ1uzMPmUP3eegbFzW9UFAiGtAb/snJdoeDPWaaht72E7dJkv7ffzyvp1tYJRY7t36tfjAVVmV1H0u15mhxpaxcqb7hkMdjY921Rra2KbxctfXM1Ap7V64jGQtqMBXeUG0BWK9VfdYjI3EFA6vzAIaUiAW1nK2oWnM0t1zSY0/NK1ds7NO5MJPb8nA7dJZAwKfxocuH4k4Mx0jgwIET8FkyjMYaTN125feZXZfAITXmRUMBnyIhv/qTIQ32kUjXDkvZsmaXGvP4y7mKphd2tn/v4Kyuoa3uecGEJucK8vlMjQ9e+5T83cgWqjp/KSfX83R4JL6jk2bqmwaF25noDAV8es1Ljmpmsah4xK+BDm0g1/+MruvJcT1x2PbeOzaWVCIaUK5Y03B/VJEWbbSo25t/Z3c3sTHcH9FrXnJMy7mK0n1hJSKBXb3fXtvOz1+p2np6akX1uqvhdGRP2yNgr2z+Ha/tcEFubrmk6fmCfD5Dx8f7uuYErWQsqJ+4+6jmlstKxYPqW60m9eMvO66llbL6E6GOWkjtFle0pXUmybfLNE3d+4LDmlrIy++ztrzHbO5X3sg92zOkI6MJXZzJKRjwaSjNSYpArxodiOnHX3pMmXxVg31hxbboh9uOt+H093rdbYzv1v+Zc2XfwOczdf+LjmhqIa+g39LodarXXU2+VNOz01k5rqeJofiG5DUAreM47sZrfV2fwTMM3XXTkJZzZQV81hXVOKcXCppbKingN3XyUN8VlXmwe61qU4Gr2Tw/Xaldrv6SiAX1/FuGdWgo1hXzdq2ytqGrXnc1ko5obDCm0YGYfuzFR6/ZdwLa6dZjaQ32hVUo1zU+EGVzTAdp9ZqK53k6P5PTcq6iaMivE4f69m1j5fHxpJKxgL7++KwSUb8CPp88T6ubUVj4w+6UKnV98otPSpJ+9r6bFO2SNQTszl2nBvXy54zrK9+Z1m//6WP60K+8gkMh2uxFt45ofDCmuu3o0GBcM0vFDY/XbVf3vOCQJucKskxDh26gwlQn2TDn4TUqZlFh4sadn8lpKVtWOOjTqYk+7v9omUgooB9/6XHNLReb+5wW1h2CXKk6ioYuX6vb6VPXbUfPTGZVqtbVnwjp6GhChsEBrPvhlc+f0ORc4zDHG6lICPQaz/N06/F+LWUbh20OpsJyXU9mlx0CfWqiTyv5qkrluu44OdCViSi9oFXzS/zrYV+Ypqkjo4k93zB9diqrat1R3XYbG0t2kKU/2BfecILXQN/2NqWEAj4dG0t2bAKHJI0NXF7g70+GOmrixVu/S6EHpZNhHRtLtiyBQ1Kj0o3R+LuLhv2KR3e/YJmMBRtJJ12w+DkyEGmeWBwJ+a65efv8bE7lii3bcTU9X1Bhl1VLgHZIJULNUy9M07hi09aNqNRsXZjJyXZcVaqOzk1nWx3mnoqEAjo2lmwmcEiNyl/HxpIkcOxQMhZsnuJsGI22dU2v35tbyeczdXQ0edU+70g62rxnhYM+9cWv/H3d/PdtGoZqNUeJaFDBgEWCDdDj+uIhHRtLXnUT4ua2Y3QgomjIr8TaGMDQVfsGa23UbjYbn51aUbXmyLZdnZvJ7nqzE4CthYI+9SdCzX7B6Lp5nGioUSZ7OBVVKhHa8FihVNP0fEG246pUsXV+9srKPGiNVrSpwNXGWgN9l09VtSxDE8Nx9a+rrHjiULJr5u1a5cLM5Tm9qflCsxLx9fpOQLsNpiI6NpZUYIvKm2if4XSkuUEjGLA2tLE7sZStaCFTluN4yhVrOz55cafSybCed9OQAr7G71lfPKhIqLM22zO/2J0+8f8+oZV8VaMDUb36xUfbHQ720TvfcIf6YkFdnM3r9z79Ha7hDjA+GNPR0aR8vkbldd+68cJgX7i5H6dbEjjW/05t3ruyVcVybG05V9H8ckmO46lQqmtqfn/7INi+bmtPI6HG/rd0Mqzh/khzL53fZ+rmI42KcJIUi/gV38a4fGq+oHypJsfxtJAp33BlPLTGxHCcBA4cWJZlaiQd02BfWIN9YY30R7ougUOSzl3KKRz0qT8Z0qXFospVu90hHUjpdfuuTdPQcP/O9ovT+0VPcdyNWfquJ203PSES8uvOk4Oq1GyFg76ezPIfG4ypLx6U63ods8C1kq/q7PSKXNfTxHB8R5uSD6rw6qmalbqjwaBPVhd2LnYjFQ/pzlODqtUdRUL+a/78juNt+p5NZ+g+fp+p24+nVaraCvotBXaQiOe6m64Fl2vhoLNMQ7ceS6tUqSvgtxT0W3JdT2enV5TJVRUO+nT6SKqjEj+7UTIWvOo9K5Or6Ox0Vp7n6fBIojnA8zxP44MxlWu2fKapRJREJeCgOzXRp5nFgs7P5FcX5gydPpxSsVKX3zL39NR9Z30fwpPcLlt0ArpJNOzXpcWCfJap6LpNeIZh6KbDKRXKV17zzuZ+vsM1CnSqc5eyWlgpK+izdOpw34bNtkG/pTtODqhctRUKWPL7LJ2c6FOhVJNpGh23MXc/2Jvm8DZ/DwDbEY8EdOfJAVXrjiJBn6xdrgNe2Qfb/zZqJB1VMhaU47gdVS3havNd6HxnLizrC/9wTpL04Bvv3LfqMugMyVhQ/8cvPF+/8Qf/qL97dEr98ZDe+hO3ckp6hwgFfLqzOV7wddX16Xmezk5ntZytKBiwdNPhVEfuXekWjJO6R7Fc11MXM6o7rob7Izoykmh3SNvW2Es3oErNae6lS8VDqjuuoiH/tjZBX7Fvx2UOE8D+OTqa0ODqoe6dNH7ejkKppmcvZeW4nlLxEO1om/h9lm4/0di/tzaPvxPd05sHbsD6TNGRdGTHA1a/z1Q8EujJBI41kZC/owbB5y5l5TiePE+6OJtX3XbaHVLXuDiblzwpHPBpcaWsXLHW7pD2XdBvKR4JXDeBZXww1hw8JmKByycWA13Gshr3qZ0kcEiNe0B/cvWEOUM6NMRJC2gkcsQjgWaixnKuokyuUUayXLU1zQk+LXG1e9azl7Jy3UZf6MJsrjnZHg03rtdI0K9gwNL4EKc9AwedYRiaz5Tls0x5njQ5l5ftuIpHAnuawCGt9hlWm6+h/gjJfcAeqdUdTc7lFQo0FkSf3VQ5zzCMLa/5RDSgRKwxzjVNY88r4gLYmWyhqoVMWfKkat3Rxbn8Fc/xrY771y/8xCKBA5nAIUnjQ7FmVcMkc3oAWiCwNj/TgnXAdDLUrHDrs8wNldL2UzjoUywS6KhN1leb70JnK5br+v/9j2/L86RXPv+QnnvTULtDQhvcdWpQD77xTknSX/7dM/q/PvVtTvjtIJfHC921nyWTr2o52zhxv1pzmpUjOm3vSrdIJ0KKrPZBLMugWmgHuzCba1S19qS5pZLype7c0+P3WRv20oWCPsUjgW2fYj86EG1W9YiEfErvsjIeAGxXNOzv2gQOSbJdt3F4ryfVbUcH7LzvjmJtMY+/XVTiQE8ZSUfVnwjJ9TzKLHaZzQe4cqDrjdt8+m23lWDcT33xoO46NSjbcRUKWB21mAHst5OH+lQZtGVZxq46k+hdm+8vnLa+tzb89XqXvzcMQ6cmUipXbfm4XgGs2nygyn610cP9EaVWT8bb64QR4CDbfEXf6BW+VqWjUnPks8yu28wBHBRX3LYZal1XKh7Sc04PMacHoCP5LFO3HUurWncU8JktSQzpFVeb70Lncl1Pv/Nnj2lmqajBVFhvf/0d7Q4JbfTqFx+VJP3+X3xXX3p0So+fW9Y/e80teuld49c9WA/YyuZ9DKw77Y5lmbp1tQ/i95k9fUhtt2M/1EbRsF93nRpU3XYV9FvbTgIBgIMuEQnq2FhSrusp4LcO/H2l29GDQ88J+C0SOLrQkdF48zS10YHojk+XP4gmhuPNLPX+RIiT6K7D7zMVDvpY7AXUOB2DDeG4mnQyrPjqyUd+n8lJznvsyEii2Rc6NBS7YtNlmOsVwDpHRjaOn/ZzDBzwWyRwAHss6LeaJzgbRuOav1GGYaz2G5j2BTpVMhZQXzwoqXFa6iGq7d0Q5vQAdDLTbPTBSODY6MhIolnNcav5LnQWz/P00f/5A/3j92fkswz9f3/xhaw5Qq9+8VF94F0v1UAypPnlkv7PP3lU//I//o3+6u+eUaFcb3d46DKpeKhZQdTnMxkLtcBaH4QEjs62YU9Pkj09UiMROhz0kcABADtweCSugN9SwG9pMBXu6qoioBIHgA6RTobVFw/J8zwGmNsUjwT03NNDclyPCXAAQMtYpqFbjvWrbjuyTJNJtD02mAqrPxGUJ9EXAnBdjJ+A3jcxHNfoQFSGYXDCKdBjDMPQ6cMp1W1Xlmkw1gIA9Czmu7qH7bj6yF9+T1/82gVJ0i/99HN1+nCqzVGhU9xxckC//2v36jNfOavPfvms5pZL+sPPPa5PfvFJ3fcjR/S6u49rJB1td5joAqZp6OYjrDvh4ElE2dMDAGidZCyo5940JJf7Sk8giQNAx2hsSmCgvhMmC74AgD1C9Yf9w2mNALaD8RPQ+9joBvQ2FtgAAAcB812d7+nJjH7v09/Vs9NZmYb0rjfdpXteMNHusNBhQkGffva+m/STrzihL397Wp//6rM6P5PT5/7+WX3hH87pNS85qrc8cHOzujdwLaw74SBiTw8AoJUskwPAegVJHAAAAAAAAAAAAAAAAAdAuWrr22fm9dDXLujbZ+YlSbGwX7/6lufpRbeOtDk6dLJQwKcHfvSI7v+Rw3rsqQX91d89o+88taDPf/Wcvvztab3np+7SS+8ca3eYAAAAANAVSOIAAAAAAAAAAAAAAADoUYsrZX3ziTl94/FZfffpBdVtV5JkGtLLn3tI//x1tykVD7U5SnQLwzD0vJuG9LybhvTdpxb0f3/2+7owm9dv/vE3dd+LDuudP3mHQkG2IwEAAADAtTBqAgAAAAAAAAAAAAAA6CH5Uk1f+tak/vbRSZ2dym54bCQd0YvvGNNrXnJUI+lomyJEL7jr9KB++1/9E33yi0/qz//2aT38jYt6enJF733bi/jdAgAAAIBrIIkDAAAAAAAAAAAAAACgByyulPX//M1T+ptvXmxW3DAM6abDKb3othH9yG0jmhiOyzCMNkeKXuGzTP3ia27Vc08P6T//ybd0fianf/XbX9av/dMX6q7Tg+0ODwAAAAA6UtcmcVSrVf3qr/6qzp49q1AopIGBAb3//e/XoUOHNjzP8zz95//8n/WVr3xFpmmqr69PH/jAB3TkyJE2RQ4AAAAAAAAAAAAAANA6laqtTz10Rp/76rPN5I1jYwk98KNH9dI7x9QXD7Y5QvS6O04O6P/6lVfoP/zRN/T05Ip+4//+R/3z196m1919nKQhAAAAANjEbHcAu/EzP/Mz+uu//mt99rOf1Stf+Ur9xm/8xhXPeeSRR/Stb31Ln/nMZ/S5z31OL37xi/WhD32oDdECAAAAAAAAAAAAAAC01nefWtD/57e+pL/8u2dUt13ddjyt//Dul+p3/tU/0Y+/9BgJHNg3A31h/eZ7XqZ7XjAh1/X00c/+QL/1Px5VqVJvd2gAAAAA0FG6thJHMBjUK17xiub3d911l/74j/94y+fWajVVq1X5fD4VCgWNjIzsV5gAAAAAAAAAAAAAAAAtVyjV9Iefe1wPf+OipMYG+gffdKdeeMswlQ/QNgG/pV/52efqxHhSH/vc4/rKY9N6enJFv/ZPX6ATh/raHR4AAAAAdISuTeLY7BOf+IRe+cpXXvHn99xzj77xjW/oZS97maLRqIaHh/WJT3xix5/jeZ5KpdJuQgUAAAAAAAAAAAAAANixf/jeJf23v/yeMvmqJOnHX3pMv/iaWxQJ+dscGSAZhqHXvfyETk706f/8k0c1s1jU//Ff/l4//arTevM9J+X3We0OEQAAAADaqieSOD7ykY/owoULev/733/FY48//rieffZZfeUrX1EsFtNv/dZv6d//+3+v3/zN39zRZ9XrdT3xxBO7DRkAAAAAAAAAAAAAAGBbFjJl/be/+p6+/visJOnQUEy/9NPP0a3H0m2ODLjSrcfS+i//+p/od/70MX398Vl98otP6u8endRbf+JW/chtozJNKsYAAAAAOJi6PonjYx/7mB566CH90R/9kcLh8BWP/9Vf/ZV+5Ed+RIlEQpL0hje8Qe985zt3/Hl+v18nT57c8esBdDeSuAAAAAAAAAAAAADst7rt6Av/cF6f/OITKlcdWaahN91zSj/zqtMK+KlqgM4VjwT03re9SH//nWl99LM/0KXFov7DH31TR0bi+slXnNRL7xpTONj125cAAAAAYFu6ehT08Y9/XF/4whf08Y9/vJmksdnExIS++tWv6q1vfav8fr++9KUv6dSpUzv+TMMwFIlEdvx6AAAAAAAAAAAAAACAG1GtO/ryt6f0pw+f0UKmLEm65Wi/3vPmu3RkdOt9EkCnMQxDL3/uIT3/5mH9xZee1ue/ek4XZvP6nT97TP/tr76nH719VM+7eUjPOT2oVDzU7nABAAAAYM91bRLH7OysfvM3f1MTExP6xV/8RUlSIBDQpz/9ab33ve/VPffco3vvvVc///M/r7Nnz+q1r32t/H6/hoaG9P73v7/N0QMAAAAAAAAAAAAAAFypbjt6/NklfeOHc/q7RyeVL9UlSf2JkN7ywE2670VHZJpGm6MEti8a9usXX3Or3vhPTup//e/z+ptvXtTMYlF/9+0p/d23pyRJQ6mwjo0lNT4YUzoZUioRUjjok98y5fOZsh1Xtbqjmu2qvu7/646ruu2qVnfluK4CfkuhgKWg31I45Fcs3Pgvuu6/4HWq2Liup0rNVqliq1Spq1S1JUmnJlKyuAYBAAAA7ELXJnGMjIzozJkzWz72wQ9+sPl1IBDQBz7wgf0KCwAAAAAAAAAAAAAAHHAr+ar+7G/OqFy15bPMdf8ZMk1DpmHIMBpfO66rQqmulUJV0/MFTc3nZTte870GU2G99mXH9ZqXHrvupnOgG8QiAf30q07rp+49pSfOL+ubP5zTt8/M69nprOYzZc2vVp3Za36f2UjoCPkVDfvkuJ4qVVvlqqNy1VZ5NWljs5+97yb9/Ktv3pcYAQAAAPSmrk3iAAAAAAAAAAAAAAAA6ESPPjmnz3/13I5f358I6nk3Desld47qeTcPc+o/epJhGLr1WFq3Hkvrn/34rSqU6zp/KatnL2U1t1zScraiTL6qas1W3XZlO658lim/31LAZyrgs+T3r/6/z2z+Z1mmanVH1ZqjSq2RjFEo11Vc95/rSXXb1Uq+qpV89ZpxWqahSMivSMinWMSv20+k9+lvCAAAAECvIokDAAAAAAAAAAAAAACghV72nHG5rqdssSbHcVV3XDmOJ9tx5bqeXNeT4zX+3zINxSMBxaMBjQ/GdHg4rsFUWIZB4gYOlljYr9tPDOj2EwN7+jme522Z2GFZpsJBn0IBS+Ggr5m44feZXI8AAAAAWookDgAAAAAAAAAAAAAAgBYK+i3d9yNH2h0GgC0YxlplDb+Uanc0AAAAAA4is90BAAAAAAAAAAAAAAAAAAAAAAAAHARU4kBPyRVrOncpK8/zdHgkof5EqN0hAQfOhZmclnIVRYI+nTjUJ7+PfEEAQPfxPE/nZ3LK5KuKhHw6eahPPqs37mnZQlXnZ3LyPE9HRhJK0WcGAOCq5jMlTc8X5LNMHR9PKhr2tzsktFAmX9HFmbwk6choQn3xYJsjAjrfxdmcFrMVhQM+nTiUVMBvtTskAMAu1W1XZ6dXVKrY6k+EdGQkLsMw2h0WAABAR1rKljU5l5dhGDo2llQiGmh3SDuSLzX22Lmup4nhuNLJcLtDAtDhLi0WNLtUUtBv6cR4UqEg28+B3eqNXUjAqmemVlStOarVXZ2dWpHjuO0OCThQlnMVzS2XZNuucsWapubz7Q4JAIAdWcpWtJApN+5phZqmFwrtDqllNvSZpxuTswAA4ErVuqPzMznVbVflqq1nL2XbHRJayHU9nZ3Kqlp3VK07emZqRZ5Hvwi4lky+otmlxtxfvlTT5BxzfwDQC6YXCsoVarJtV/PLJS3nKu0OCQAAoCPZjqtnp7Oq1V1Va47OTq20O6QdOzu1okq1sV747HRWNnvsAFxDsVzX1FxBtu2qWK7r/Eyu3SEBPYEkDvSU9UkbniexHw3YX5sHdQzyAADd6op7mt0b9zTP8+Ss6yS7rieXzYoAAGzJcVzJ2/Q9eoYnbUhmdV1PdIuAa3OcjReJwwQ8APSEK9d2aN8BAAC2snn+qJvHxev7fJ7X3T8LgL3HnkBgb5DEgZ4yPhRrfj3cH5Hfx684sJ/6EyGFQ41SaZZlaDQdbXNEAADsTDoZVihoSVq9pw30xj3NMAyND17uM4+kI/JZ9JkBANhKJORXfyLU+MaQxtbdQ9H9LHNjH29sMCrTNNoYEdD5UvGgIqtzf6bZO+MkADjoRtNRWVajHxQO+pROhtocEQAAQGcK+C0N9Uea34938XzhoXV77AZTYQX9VhujAdDpEtGAErGAJMkwurv9AzqJr90BAK00NhBTfyIkz2tMMgLYXz7L1G3H0qrUbAX8FptCAQBdy+8zddvxAVV78J42PhhTOhGSJ/rMAABcz8mJPpUqdVmWyUJmD5oYjmuwLyxJCtEvAq7Lskzdujr35/dZHKIEAD0iGvbrrlODqtUdhQI+ElsBAACu4ehoQsP9ERmGFAp073zSSDqqvniQPXYAbohhGLrpcErlqi2fZSrAegnQEtyB0XO6uYMM9ALTNBQJ+dsdBgAAu2b18D2NTYoAANy4Xu0PoIF+EbA9zP0BQG/yWWZPHWICAACwl3ol6YE9dgC2wzCYFwRajZkYAAAAAAAAAAAAAAAAAAAAAACAfWB4nue1O4hu8eijj7Y7BAAAAAAAAAAAAAAAAAAAAAAA0KGe//znX/NxamLtQCAQaHcIANqkVqtJoh0ADjLaAQASbQEA2gEAtAMAGmgLANAOAKAdACDRFgCgHQBAOwCgYa0tuB6SOLZhrWG944472hwJgHZ59NFHFQgEaAeAA4x2AIBEWwCAdgAA7QCABtoCALQDAGgHAEi0BQBoBwDQDgBo+P73v39DzzP3OA4AAAAAAAAAAAAAAAAAAAAAAACow5M4qtWq3v3ud+uBBx7Q61//ev2Lf/EvNDU1teVzP/3pT+v+++/Xq171Kv3bf/tvZdt287EvfelLevWrX6377rtPv/RLv6RisbhfPwIAAAAAAAAAAAAAAAAAAAAAAICkDk/ikKSf+Zmf0V//9V/rs5/9rF75ylfqN37jN654zuTkpH7nd35Hn/zkJ/Xwww9rYWFBf/7nfy5JKhaLeu9736sPf/jDevjhhzU4OKiPfOQj+/1jYJ9U647OTq3omckVlSr1docDHEhL2bKeupjR5Fxeruu1OxwAAHZsIdO4p00vFOR5vXNPq9TsRp95akXlqn39FwAAcIAVSjU9PZnRuUtZ1W233eGgxSpVW8+s9osq9IuAG8LcHwD0Hs/zNDWf11MXM1pcKbc7nJ4yv1zSUxczutRj84sAAKD71eqOnp3OsscOwA3LFqp66mJGF2ZychzWS4BW8LU7gGsJBoN6xSte0fz+rrvu0h//8R9f8bwvfvGLuu+++zQwMCBJ+rmf+zl99KMf1c/+7M/qK1/5im6//XadOHFCkvSWt7xF73znO/Wv//W/3lFMnuepVCrt6LXYez88t6xy1ZEkLWTyuuN4v0zTaHNUwMGRL9V0diorSVrJVyVJE8PxdoYEAMCOZAtVnbt0+Z5mSBobjLU3qBY5cyGjaq3RZ84Xa3rO6UEZBn1mAAA2q9uunryQaW5SrtYd3Xykv81RoVU8z9OTF5ZVqzcWm4qluu46PdjmqIDOVijXdXY6K3mNcZLneTo8kmh3WACAXbq0WNSlhaKkRvvu95lKxoJtjqr7ZXIVnZ/JSWr8vZqmoZF0tM1RAQAANDw9uaJiuZG8kSvWdNfpQVnssQNwFZWaracuZrSWm153XJ081NfWmIBe0NFJHJt94hOf0Ctf+cor/nxmZkZjY2PN78fHx3Xp0qWrPjY3NyfXdWWa2y9EUq/X9cQTT+wgeuyHp6bL0rpDTIzKnPwWHUxgv5QrG0+t5HRvAEC3Km26p5V65J7mul4zgUNqbE61HU9+H31mAAA2q9WdDafMbx7zors5rtdM4JAaSTqO67FYDVxDuWJvmH9n7g8AesNWazskceze5vsk900AANBJ1vdNbMdV3XZkBbpqKymAfVStOfKYFwRarmvuvB/5yEd04cIFvf/979/y8fUnx24uRdrKU2X9fr9OnjzZsvfD1ZUqtqZXT30ZH4wqErr+r2swkVNm9fT/WMSvmw737WWIOIBI4tpoZrGoTL6iaNiviaG4ErGALMuQ4zTa4XQy1OYIAXSCfKmm6YWCTMPQ4eG4QsGu6YLiAOuLBzW9UGhs3DSkdGL/7mmu62lqPq9Cua6+WLClFUBM01BfPNismJWIBuT3bT+5HUB38jxPU/MF5Us1JaIBHRqiah5wLeGgT+GQr7mprZ8x7jUVSjVNrfb7J4bjCnd4v99nmUrEAsoVapIa/T8SOIBrS8QC8lmmbKeRAJXax3HSfnAcVxfn8qpUHaX7QhpKRdodEoAuVqrUNTmXlydpYiiuaNjf7pCuKpUIajlXkbQ6d0QCR0v0xYO6tFhszi+m4u2/b7qup4tzeZUqdfUnQlQGAQDgAOtPhLS4UpYkRcN+Bf3WDb+2bru6MJtTve5qOB1Rf4/NDwC40lo7Ua03Dozcz/0TrVQs1zU5n5chaWI4rkioc8fqOBg6eyVt1cc+9jE99NBD+qM/+iOFw+ErHh8dHdX09HTz+0uXIOU5pQABAABJREFULjWrb4yOjuprX/ta87Hp6WkNDw/vqAqH1EgIiUSYuN9rnufpyckF2XZj4XRyoaLn3jR03dfddjKs5VxFrttYWGfhFdg7y7mKJufykqRCqS6fZWp8MKbbjqeVK9QUDvkUjwTaHCWAdnMcV09dzDSTu6p1R3ecGGhzVMD1hYM+3X48rVyxpkjIp9g+3tNml4uaXSpJatxjgwFL6eSV46CdOnmoT5l8o89MwiVwsMwtlzSz2DgsoVCqK+C32JwIXINpGrrlaL+WcxX5LJPFyGtwXE9n1vX7KzVbd54cbHNU13d6ItXcsMi/L3B9Qb+l206klc1XFQr6lIj21tzfxbm8FjKNDSz5Uk2R4P6OBQH0lqcuZppVv86UM3rO6UGZHbpumU6GFfBbKldsJaIBDuFpkUjI31gzK9YUDfsV64BEnumFguaXL887hoM+qq4AAHBAHRtLKBkLyHE9pZPhbR2Sfe5StnlgXL5c050nBuhDAj3OZ5m69Xi/Mrmq/H6zI5LUt8vzGusYtt0Yq5erGT3n9PX3JAN7qeOPXP34xz+uL3zhC/r4xz+uRCKx5XMeeOABPfzww1pcXJTnefrUpz6l17zmNZKku+++W9///vd19uxZSdInP/nJ5mPoXK7rNRtLqZHB67jeNV7RYBiG0smwBlNhEjiAPVapbSyLVq01Mm1DAZ+G+iMkcACQJNUdt7mRS7rcVgDdIBRs3NP2e9PO5uuk1deNaV7uM3fq5gEAe2PtdJzm99yXgevyWaaGUpwmdz1Ol/b7TdPQQF9YA330i4AbFfRbGuqP9FwCh7TFWKzeHW0ZgM7jul4zgUOSbMeV611/nbOd4pGAhvojbL5rsXDQp+H+SEckcEhXru1VuqTfDgAAWm9tj91QKrLtPXYbxsse42fgoPD7GvOC3ZjAITUOo1q/J7lWdxuVE4E26ugkjtnZWf3mb/6mcrmcfvEXf1Gvf/3r9VM/9VOSpPe+97165JFHJEkTExP65V/+Zf3cz/2cXvWqVymdTuvNb36zJCkWi+kDH/iA3vOe9+i+++7T3Nyc3vWud7XtZ8KNsTadbkhVDaDz9MdDsqzGdWkYnOQNYGtBv6VE7PLGjsG+1lUTAHpV47SbxteWZSjFplEALZJOXt6k3Ejoon0B0BoBv6W++OUTfAfo9wPoQoOpsLQ6Fgv4TSWinEwOYGfWEkXX9MWD8lkdvSyPA2Kg7/K9zuczN/ThARws1brDpmsAO7Z+zT8c9HVMwioAXIvPMpVKXB4DpZMhDndC23X0URojIyM6c+bMlo998IMf3PD9T//0T+unf/qnt3zuvffeq3vvvbfl8WFvHRuLq1CuyzCkY6PxdocDYJNQ0KfDw3Gdn8lpdCBCuWUAV1jKlrWUrWioL6zhVESmadBWANdRqtiaXSqqPxlSXyyoWCSgoN9qd1gAekQs7Nehwagm5wuaGIopEmJhBUDrnJro00q+2uz3L66UtJyramQgqgTVOgF0gXQyrFDAp0rNViTo14XZrHyWqaOjyXaHBqALHR2Nq1CuyXFcHRtNtDscQJKUioc00h/R3HJJR0bjzDsCB9TffuuiPvzn35PneXrHT96hH3vx0XaHBKDLjKSjioX9qtmuktGADEN6djorqdEPNk0SmAF0ppOH+rRSqMqQ0dVJ7ZNzeVVrtg4PxxUIdHQaAK6Dfz10rC89Oq3ZpaKkxibQe15wuM0RAVgvk6vokW9NyrZdnbmY0d13SUdYiACwanqhoL97dFKe16gkcN+LDiuViLQ7LKCjVWq2/vp/n1OpakuS7jo9qDtOcIo1gNaZXSrqkW817s/PTK3onhcc1nA/92cArWEYlyuIXZjJ6e+/Oy15jRN+X/2jR9TXpSXWARws0bBf4aClL37topayZUnS1HxBL7trvM2RAeg2X35sWtPzBUnSwkpZ9//I0fYGBEg6dymrf/jeJcmTzk3n9MCLj3DwEnDAzC4V9bv/z3dlO64k6ff/4rs6eSipUxOpNkcGoNvE1h3a8rffuqhLC409fs9OR/WqF7HHD0BnMgxDqS5fq/j2mXn98NklSdLjzy7rx156TAEfyXPdin85dKRazW4mcEjSpYWiarbbxogAbHZhNid77br0pPMz2fYGBKCjnLuUlec1vnYcT+dncu0NCOgCs0vFZgKHJJ2/xL0VQGudn8ltuD9fmOX+DGBvnJ/JSqvtjW27ujCbb29AALAN+VK9mcAhNU62A4DtsG23mcAhSfPLZZUq9jVeAeyPc5cu99NrtqOpdb+nAA6GP334jGzH1V2nBnT3c8bledKnHjrT7rAAdLGa7TYTOKTGemetRt8XAPbK+v1X+VJNSyulNkaD3SKJAx3J5zMVDFwu3xoOWmSLAR1m88k8iSgn9QC4LBkNbPi+j9O8gOtKRoOScfn79SfYAEArJDbdn5MR7s8A9sbmOYJkjH4NgO4RDvnlW7ceEQn52xgNgG7k85mKhC+3HYGApVCAdU60X3zTfOPmeQIAva1StfUP370kSfr5B27RWx64SZL0rSfmNL/M5j8AOxPwmQoHL+/xCwasDWNqAEBrJSKX5xsM48pxHrqLr90BAFsxTVP3vGBCj51ZkCQ9/+ahNkcEYLNjY0kVynVdWiioPxHSXacG2h0SgA5y2/G0qnVHS9mKRtJRnaQMM3BdqURIL71zTE9dzCga8usFtw63OyQAPebWY2lVao4WMiUNpSK66Sj3ZwB7444TA6o7rjK5ig4NxXV0NNnukADghgV8pl75/Al9/5kFWaap57E+AWAH7nn+IX37zLxcV3rO6QGZJhvZ0H7PPT0k1/W0UqhqYjiuieF4u0MCsI+++cScKjVHI+mIbj6akmEYuvPkgL73zKK++t1pvfGVp9odIoAudc8LDuvRJ+clSc+9aZC+LwDsoZfcOa5vPTGrSs3WLUfTHA7a5UjiQMdKJ8N61YsOtzsMANdwx4kB3XGC5A0AVzJNUy+4ZaTdYQBd59hYUsfG2OQIYO887yY2IQLYez6fqRfdyngAQPca7o9o+EVH2h0GgC7WFw/pnhewzonO4vOZ+pHbR9sdBoA2eexMY4P1j94+KsNolAV/yZ1j+t4zi/raD2ZJ4gCwY6lEiD1+ALBPIiGfXv7cQ+0OAy1C2iMAAAAAAAAAAAAAAAAA9KjvPbMoSbrr1GDzz9YOYHjywrJyxVpb4gIAAAAOKpI4AAAAAAAAAAAAAAAAAKAHzWdKmlsuyTIN3Xqsv/nng6mwDg3F5HnSE+eW2hghAAAAcPCQxAEAAAAAAAAAAAAAAAAAPejpyRVJ0tGxhCIh/4bHbjueliQ9fm55v8MCAAAADjSSOAAAAAAAAAAAAAAAAACgB52dWpEknRjvu+KxZhLHs4v7GBEAAAAAkjgAAAAAAAAAAAAAAAAAoAednc5Kkk4eSl7x2G3HGkkcZ6eyqtTsfY0LAAAAOMhI4gAAAAAAAAAAAAAAAACAHuN53uVKHIf6rnh8qD+iVDwox/V0fia3v8EBAAAABxhJHAAAAAAAAAAAAAAAAADQY5ZzFWULNZmmoSOjiS2fc3y8UaHj2dWKHQAAAAD2HkkcAAAAAAAAAAAAAAAAANBjJufykqTRdERBv7Xlc9aSOM5OkcQBAAAA7BeSOAAAAAAAAAAAAAAAAACgx0zPFyRJ44Pxqz7nxHifJOnZ6ZV9iAgAAACARBIHAAAAAAAAAAAAAAAAAPScqYXVJI6h2FWfs1aJ4/xMXrbj7ktcAAAAwEFHEgcAAAAAAAAAAAAAAAAA9JjLlTiunsQxko4oGvLJdlxNzuX3KzQAAADgQCOJAwAAAAAAAAAAAAAAAAB6zPRiUZJ06BqVOAzD0NGxtWocuX2JCwAAADjoSOIAAAAAAAAAAAAAAAAAgB5SrTtayJQkXbsShyRNDMcliUocAAAAwD4hiQMAAAAAAAAAAAAAAAAAesjMYlGeJ0VDPiVjgWs+d2K4keRBEgcAAACwP0jiAAAAAAAAAAAAAAAAAIAeMj1fkCSND8VkGMY1nzsxtFaJo7DncQEAAAAgiQMAAAAAAAAAAAAAAAAAesrcclGSNJKOXve5E8ONJI6ZpaLqtruncQEAAAAgiQMAAAAAAAAAAAAAAAAAesrcckmSNNwfue5z08mQwkGfXNfTpUWqcQAAAAB7jSQOAAAAAAAAAAAAAAAAAOgh85myJGkodf0kDsMwNDEckyRNzZHEAQAAAOw1kjgAAAAAAAAAAAAAAAAAoIfMZxqVOIZuoBKHJB0aikuSJufzexYTAAAAgAaSOAAAAAAAAAAAAAAAAACgR3iep4XVJI7hG0zimBheTeKYI4kDAAAA2GskcQAAAAAAAAAAAAAAAABAj8iX6ipXHUnSYF/4hl4zMRSTJE3NFfYsLgAAAAANJHEAAAAAAAAAAAAAAAAAQI+YX63CkYoHFfBbN/SascFGEsfMUlGe5+1ZbAAAAABI4gAAAAAAAAAAAAAAAACAnjG/3EjiGEpFbvg1w/0RGYZUrtrKFmp7FRoAAAAASb52B3AtH/jAB/S3f/u3mp6e1uc+9zmdPn36iud85jOf0cc//vHm97Ozs3rhC1+o3/u939PU1JTuv/9+nTp1qvn47/7u7+rw4cP7Ej8AAAAAAAAAAAAAAAAA7Kf5TFmSNNR/40kcAb+lgb6wFjJlzSwW1RcP7lV4AAAAwIHX0UkcDzzwgN7+9rfrLW95y1Wf85M/+ZP6yZ/8yeb3r33ta/Xa1762+X08HtdnP/vZvQwTAAAAAAAAAAAAAAAAADrCfGatEkd4W68bTUcbSRxLBd1yrH8vQgMAAACgDk/ieOELX7it53/ve9/T4uKi7rnnnj2KSPI8T6VSac/eHwAAAAAAAAAAAAAAAAB2anGlUYljsG+bSRwDUX3vmUVdWizuRVgAAAAAVnV0Esd2/fmf/7le//rXy+/3N/+sWCzqTW96k1zX1b333qsHH3xQlmXt+DPq9bqeeOKJVoQLAAAAAAAAAAAAAAAAAC21nK1IkvqT20viGBuISpJmFkjiAAAAAPZSzyRxlMtl/a//9b/0p3/6p80/Gxoa0pe//GWl02mtrKzoV3/1V/WHf/iHesc73rHjz/H7/Tp58mQrQgbQhUjiAgAAAAAAAAAAAAAAnWwp26jEkU6GtvW60dUkjktLJHEAAAAAe6lnkji++MUv6sSJExsSLAKBgNLptCSpr69Pb3rTm/T5z39+V0kchmEoEonsOl4AAAAAAAAAAAAAAAAAaCXH9bScr0raSRJHTJI0s1CQ53kyDKPl8QEAAACQzHYH0Cp/8Rd/oTe/+c0b/mxpaUn1el2SVKvV9NBDD+mWW25pR3gAAAAAAAAAAAAAAAAAsKeyhapc15NpSH2x4LZeO9LfONi2WLGVL9X3IjwAAAAA6vAkjve///16+ctfrtnZWb3tbW/TfffdJ0l673vfq0ceeaT5vIsXL+oHP/iBfuzHfmzD6x999FG94Q1v0Ote9zq94Q1v0ODgoB588MF9/RkAAAAAAAAAAAAAAAAAYD8sZcuSpL54SJa1va1hoaBP/YlG9Y6ZxULLYwMAAADQ4Gt3ANfyvve9T+973/uu+PMPfvCDG74/fPiwHnvssSued//99+v+++/fs/gAAAAAAAAAAAAAAAAAoFMsZSuSpHQytKPXjw5EtZyraGaxqJuO9LcyNAAAAACrOroSBwAAAAAAAAAAAAAAAADgxuw2iWNsICpJmlkstiwmAAAAABuRxAEAAAAAAAAAAAAAAAAAPWApW5YkpZPhHb1+dDWJ49ISSRwAAADAXiGJAwAAAAAAAAAAAAAAAAB6wG4rcYxSiQMAAADYcyRxAAAAAAAAAAAAAAAAAEAPWN5lEsdIupHEMUslDgAAAGDPkMQBAAAAAAAAAAAAAAAAAD1gKVeWJKUT4R29fnQ1iSNbqKlUqbcsLgAAAACXkcQBAAAAAAAAAAAAAAAAAD1gabUSR/8OK3FEw37FIwFJ0uxSqWVxAQAAALiMJA4AAAAAAAAAAAAAAAAA6HLlqq1SxZYkpXeYxCFJowMRSdLMUrElcQEAAADYiCQOAAAAAAAAAAAAAAAAAOhymVyjCkc4aCkS8u/4fUbSUUnS7CJJHAAAAMBeIIkDAAAAAAAAAAAAAAAAALpcJl+VJPXFdl6FQ5JG15I4lku7jgkAAADAlUjiAAAAAAAAAAAAAAAAAIAut7KWxBEP7up9qMQBAAAA7C2SOHBVnufJdtx2hwHgBnC9AugWtFfAzjiOK9f12h0GgH3iup4crnkA6Gj0z4Du57qeHOYoANwg5jXRa/idBnpXJl+RJKUSu03iiEiSZpZI4gAOCua7ABwEDuuw6CC+dgeAzlSq1HXmQkZ121VfPKiTh/pkmka7wwKwhUKppqcursh2XKWTIZ041NfukABgS5WqrScvLKtWd5WIBnT6cIr+BXADzs/kNL9ckmkaOjXRp2RsdwsvADrbUrasZ6ez8jzp0FBMY4OxdocEANjk4mxOs0uN/tnJQ327Pt0UwP5b3+caH4ppnD4XgGuoVG2duZBRte4wr4mesHkvwKmJPhkGv9NAr8isVuJIxUO7ep/RgUYljoWVsmzHlc/inGCgl03O5TWzWJRpGjpxKLnrNgQAOtHsUlEX5/KSpKOjCQ2lIm2OCAcdPWxsaXqhoLrdOHljJV9tZup3iqVsWecuZbW4Um53KEDbXZzLN0/KWcpWlC1U2xzR9sxnSjp3KavlXGe1MwBab3qhoFq90V7lijUtZrvzPp7JVXTuUlbzy6V2h4IetnZ/nJrPN3/XXNdrTigA6F3nZ3LyVg9/mZovqG477Q0Iu5Yv1XTuUlaXFgucYga0ULZQ1blLWc0uFeV5+3dtlau2Zpcu988uzOb27bOBbmI7ribn8jo/k1Olarc7nCtcmMk3+1zT8wXV6vS5AGwtk6vom0/Mam51fqab5zWBNY35hvV7AXa3tpgrNsa9M4v72zcHsLXM6rp7apcHDqTiIQV8plzX03yGNTGgl1Wqts7P5DSXKWluuaRz09l2hwQALees7bfwJHnShZlcV45fHNfT1Hxe5y5lVarU2x0OdolKHLghnXTyRiZX0dmpRmdxIVOWYUjpZLjNUQHtY2jj9dlJ1+v1zGdKOn+psdlhIVPWTUdSnC4O9LDN7dPm9qsbZAtVPT25IklaUFmepOF+MvPRWuvvj5WaLcf1FA35JakLrxoAu8eV380qVVtPnl9ubhKt266OjCTaGxTQA0qVus5czDQWW9RYtNivU/RplYEb88zUinKFmqTGnP6dpwZlddKp9R0UCoDOtTYXmMlVlSvW5Gn3G2KBTrSb22Kjqsflca/tuJoYjrckLgA7s7J66ONuq0aapqHhdFSTc3nNLpY0NkD1OqBXua6rqfm8HKdxQ/c8T89rc0wAgK2du5TVcraRtLucq+jOk4Py+6jn0K34l8OWJobiCvotSVIqEeyoCclCeWP2WKFENhkOtsMjcflWb8SDqbAS0UCbI7pxxU3X8+bvAfSWscGogoFG/6IvHlQ62X0lWIuVzf2QWpsiQS9bfz8MBXyKhxsJHD7L1JFRNv4Cve7YWFKmaUhGo6/PpFt3K1VtrT/EhzkMoDUK5XozgUPa3355KOjT2GBUMiTLMnSU/hmwpfX3vLrtdlyli2OjiWafa2I4rsDqeggArLc2F5hOhhXwm6pU60rGAhrgcDl0uca9rzHf0J8M7Wqjd6mycdzLWh/QfmvVdVLx3a/DjaajkqSZpeKu3wtABzMM9a0euGoahhLRztknCACtYpmN+XzDkAyjsSbbTYdlrymum3d1HE+VWudVQcaNoxIHthQK+nTX6UG5rtdYyNhCte5oer4gz/M0NhhTOLg/v06JaKAxQFydDErEumfDOrAXomG/nnfT0DWv106ViAa0kFktO25o1wko+VJNc0sl+X2mxodi8llseAP2wlK2rOVcRZGQX2MD0Rse1IQCPt116tr9i06XiAZlGIXmotRuTzEC1tTqjqYXCnJcT6HAus1DhnTz0X5FQv6uvW4AbE9/IqRUPCjPE9d9D4iF/bIso3mC2dX6Drbjamq+INt2NZKOKBZhrgPts75fMjYQVWS1IlgnSUQCMk1Drtu4tva7quehobjGBmK00+h5M4tFFco1JaNBDW2zCmUyFlAm19g8FgpazUOjOkUqEdLz6XMBuI5ENKhccVmFck3xaEDPv3lIQ6lou8MCdi0c9Ok5p298bbFUqevSYlGWaWh8MLYh+TEW9re1bw7gSiu5xsnMrVjDGhlojANmSeIAelow4FN/IqRKzZZpGhrqJ2kZQG9KRAJKxYMyDEOxSOetfdyIZDyo+eWSJMnvM/dt3zb2Bv96uKZrTdo8dSGjcrWRxZUr1nTXqcF9WexIxoK6+Ui/8qWaYmE/E0HAqm5cbEwnw7JMU8VKXYloYFcblWp1R2cuZJqTxNW6o9OHU60KFcCqbKGqs1NZSVImV5UhaWxwe+WTu7G9WhML+3XL0X5lizVFQr6WnGIESNJTFzMqVRp9a5/P1MmJPpWr9q7vjwC6k2EY6sKDX7CFgN/SrcfSWs5VFPRbGujbevHr2emsVlZPSVwpVHXXqQH5fZ212RUHx9OTK83Tc9fm/KwO68OHgj7deqxfmXxVoYCldBtOw+7mcQ1wI+aWS5qcy0tqjP99PlP9iRsfA58Y79N8pCTX9TSYinTkNUOfC8D12LYrv89U0G8p6PfJddsdEdBaN3J/dl1PT17IyLYbF0CxXNftJwaaj3dC3xzAZa7raaXQ+kocJHEAvc3zPMmQQgG/rHXJmQDQSzzP05MXllWrr45tKnXdeXKwzVFt35GRuCIhn2zbVbovzCHXXY4kDuyI53nNBA6pUQ7dcV2Z5v5sMEhEA7s+sR9AZ+iLB1tyCki17mwYSK5vowC0zuZra23T+UESi7CpHq23/tqybVfRsH9bG6QAAJ0rHPRp/DpJr6XK5dLHruupWnNI4kDbrP99tG1XdduRFei8aeRIyN+RVUKAXrG+LVj7fjtjFNM0NJLmtHoA3a1UrSsc9DVPtTyIc6FA3XGbCRzS1utv9M2BzlEo12U3K8Lufi1rpJnEUdr1ewHoXLW6I0OG0snGuL9SddocEQC0nuN6zQQOqdHW3Wh1wk5iGIaGUturmozORQoOdsQwDKUSlzddxyMBNhcAaKtI0Kdg4HI7xMZXYG8kY8ENA5j1/QEAO5dad9+Khv0K+BiqAcBBsn78EgpaCrP5BW3Uv6lfEvQz5wccRP2JkLQ6/DcMqY9KlAAOoL71c6GGlGrBgVRAtwn4TEXDl8eoVKcGOttKviJJikf8LdnDMzpwuRKH53EyP9CrQgGfwqHLh7iwBwBAL/JZ5oaD4/viwa5L4EDv6bwj1NA1Toz3aTleket5V5RFrduuiuW6wiEfC70AbpjresqXavL7zG2f2GNZpm49llYmV5HPZ5LEAeyRcNCn246nlSvWFAn5FL+BihSe5ylXrMkyDSpYAOs4jqtCua6A39KJ8aT6YsFm39owmCwAsLeK5bpsx1UiGqDN6QCHRxKKRQKybVf9yZAsJo2xDeWqrVrdUSzsl9WCstnHx5PqiwfluJ7SiRBtBNABmuNqy1QsvD+JfslYULceS6tQqikRDXC6NoADKRLy69Zj/coVa4qG/Tc0F3o1ttNYOw36LYWCLNGjexiGoZuP9mspW5ZpXD6hu1tVqraqLRw/AZ0mk69KamxKbIWhVFiGIVVqjlby1Q0HUgHoPI7rqVCqKeC3mtXkboRpGrrlaL+WsxVZlnHFPkAA6BWnD6d0fiYn05QODyfaHQ5AEgd2zjQNDfRd2Wmr1h09/uySbNuVaRq6+UiKDZsArst1PT1xflnFcl2SdGQ0oeH+7ZX+8vtMDW3zNQC2Lxz0bWvS5+nJFa2sThqPDkQ1MRzfq9CArmE7rn54bqlRjtiQTh7q27JvDQB74dJCQVPzBUlSIhbQTYdTbNLuACSiYyeWsmWdnc5KXqOKy23H0rveiGQYLNQCncTzvA3j6rHBqA4N7c+4Ohb271vSCAB0qkjIv+tEtrrdWDut1V0ZRmPTSDLG6cboHpZpaCjV/etvmVxFT0+tNMdPtx5Ly0ciB3rMWhJHq6rm+H2WBvrCWsiUNbNUJIkD6GCO4+qH55ZVrtqSIZ0YT25rjs9nsd8GQO87P5PT4kp59TtDR0dJ5EB7MSJFyy1ly7JtV1JjU/ZCs9EDgKsrVurNBA5JmlsutjEaAK1SqdnNjSaSNLdcamM0QOfIFqqNBA5J8qR5rg0A+2h2XZuTK9QaizoAutL8clnyGl9Xqo6yxVp7AwLQctXVE2/XMK4GgO6TyVVVqzfWTj2Pthxol7nl0sbxU6F67RcAXWglX5HUukockjSajkqSZpdYvwc6Wa64bq6fPicAXMF23HUJHI09Gq7rtTEigCQO7IGg39rwvd/HrxmA6/NbprTu8N+Az7r6kwF0DZ9lyjQvX9wBP/0CQJICm/rMm78HgL0UWDdONwzG7UA329y/DnA9Az3H59s0rmbODAC6zuZ5n81rqQD2B3OyOAgyudZW4pCkkdUkjplFNoQDneyK+xzzBwCwgWUasqzL86yb512BdvC1OwD0nnQyrFLF1kqhqljYr7GBWLtDAtAFQkGfTownNbNYlN9n6uhYst0hAWgBn2Xq1ESfpuYLMg1DR0bj7Q4J6AjxSECHR+JaXCkrFPDp8AjXBoD9c/JQn87P5uQ4nsYGo/KzmAN0rcMjCbmep2rN0WAqolgk0O6QALSYzzJ18lCfphcKskxDR0YT7Q4JALBNffGgDg3HtJStKBL06dAQa6dAOxweict1PVVqtgb6woozfkIPWimsJXG0rhLHSDoiSZpdphIH0MmiYb+OjiY0nykpGLCYPwCATQzD0OnDKV2czcswGusrQLuRxIE9MTEc18QwG9EAbE86GVY6GW53GABaLBkLKhlr3WQx0CtG0tHmCVYAsJ9CQZ9uPtLf7jAAtIDfZ+rURKrdYQDYY33xoPpauAkLALD/xgZiHHwHtJnPMnVyoq/dYQB7KpOrSFJLxw+jA411jNlFkjiATjfUH9FQf6TdYQBAx4pHArrteLrdYQBNZrsDAAAAAAAAAAAAAAAAAADsXCa/Vokj1LL3XDuManap1LL3BAAAAEASBwAAAAAAAAAAAAAAAAB0tZW1JI5ECytxrCZxrBSqKlXqLXtfAAAA4KDr6CSOD3zgA7rnnnt000036amnntryOV//+td111136fWvf33zv0ql0nz8S1/6kl796lfrvvvu0y/90i+pWKS8HwAAAAAAAAAAAAAAAIDe4DiussVGEkdfvHVJHNGwX/FIQJI0t0w1DgAAAKBVOjqJ44EHHtAnP/lJjY+PX/N5J06c0Gc/+9nmf6FQoyxgsVjUe9/7Xn34wx/Www8/rMHBQX3kIx/Zj9ABAAAAAAAAAAAAAAAAYM/lijV5nmQaUiLauiQOSRodiEiSZhY5OBcAAABolY5O4njhC1+okZGRHb/+K1/5im6//XadOHFCkvSWt7xFX/jCF1oVHgAAAAAAAAAAAAAAAAC0VSbfqMKRiAVlmUZL33ukPypJml0iiQMAAABoFV+7A2iFc+fO6Q1veINM09Qb3/hG/fzP/7wkaWZmRmNjY83njY+Pa25uTq7ryjR3lr/ieZ5KJcoDAgAAAAAAAAAAAAAAAGi/TL4iSeqLtbYKhySNDKwlcbBfCgAAAGiVrk/iuO222/SVr3xF8Xhcs7Ozesc73qFUKqXXvOY1kiTDaG12eb1e1xNPPNHS9wQAAAAAAAAAAAAAAACAnVhZrcSRirc+iWM0HZEkzVCJAwAAAGiZrk/iiMViza9HRkb0Ez/xE3r00Uf1mte8RqOjo/ra177WfHx6elrDw8M7rsIhSX6/XydPntxVzAC6F0lcAAAAAAAAAAAAAACgk6wlcfTtQRLHSHqtEgdJHAAAAECrdH0Sx/z8vAYGBmSapgqFgr70pS/pzW9+syTp7rvv1r/7d/9OZ8+e1YkTJ/TJT36yWaFjpwzDUCQSaUXoAAAAAAAAAAAAAAAAALArK4VGEkcytgeVOAYaSRzzmbJsx5XP2vnhuQAAAAAaOjqJ4/3vf78eeeQRLS4u6m1ve5sikYgefvhhvfe979U999yje++9Vw899JA+9alPybIsOY6jV7/61XrTm94kqVGl4wMf+IDe8573yHEcnT59Wv/pP/2nNv9UAAAAAAAAAAAAAAAAANAaa0kcqT2oxJGKhxTwmarZrhYy5WZSBwAAAICd6+gkjve973163/ved8Wff/CDH2x+/Qu/8Av6hV/4hau+x7333qt77713T+IDAAAAAAAAAAAAAAAAgHZayTeSOPr2IInDNA0Np6OanMtrZqlIEgcAAADQAtS3AwAAAAAAAAAAAAAAAIAutZbEkYy1PolDkkbTjcSN2aXinrw/AAAAcNCQxAEAAAAAAAAAAAAAAAAAXSpbWK3EsUdJHCMDEUnSzCJJHAAAAEArkMQBAAAAAAAAAAAAAAAAAF3IdT1lizVJUl98j5I4+huVOOaWS3vy/gAAAMBBQxIHAAAAAAAAAAAAAAAAAHShfKkm1/UkSck9qsQxOtBI4qASBwAAANAaJHEAAAAAAAAAAAAAAAAAQBdaKVQlSfGIXz5rb7aCjaQjkqTZpaI8z9uTzwAAAAAOEpI4AAAAAAAAAAAAAAAAAKALreQbSRx98b2pwiFJw/0RGYZUqTnNpBEAAAAAO7cvSRzValVnz56V4zj78XEAAAAAAAAAAAAAAAAA0PPWkjiSsb1L4vD7LA30hSVJs4ulPfscAAAA4KBoeRLHJz7xCX34wx9ufv+DH/xAr3jFK/QTP/ETeuCBBzQzM9PqjwQAAAAAAAAAAAAAAACAAye7Whmjbw+TOCRpNB2VJM0sFff0cwAAAICDoOVJHJ/+9KeVSCSa3//Wb/2Wksmkfv3Xf12e5+n3f//3W/2RAAAAAAAAAAAAAAAAAHDgrKwlccT3NoljZDWJY5YkDgAAAGDXfK1+w5mZGR0/flySVCgU9K1vfUsf+tCHdP/99yuRSOi//Jf/0uqPBAAAAAAAAAAAAAAAAIADZyW/P5U4RtIRSSRxAAAAAK3Q8koctVpNPl8jN+Q73/mOXNfVS17yEknSoUOHtLi42OqPBAAAAAAAAAAAAAAAAIADZ78qcYwOrFXiKO3p5wAAAAAHQcuTOEZHR/Wtb31LkvTII4/o5ptvViwWkyQtLy83vwYAAAAAAAAAAAAAAAAA7Nz+VeJoJHFcWizs6ecAAAAAB0HLkzhe97rX6b/+1/+qN77xjfqzP/szve51r2s+9oMf/EBHjx5t9UfigPI8b0ePHXT83fQGz/P4t9wF/u6Ahm65Frolzq10c+xon61+b9b+jN8p4GDrlDagU+IAsLVemzPrxpiBvbAf10KnX2+dHh+Ag62X5m564Wc4aLr532wnsXfzzwvslbVKHMk9rsQxPtg4uDdbqClXrO3pZwHofLu5J29+Lfd3ANge13XbHcKu0fZLvla/4YMPPiifz6dvf/vbetWrXqV/+k//afOxp556Svfff3+rPxIHjOO4euriivKlmqJhv246kpLPauQjZXIVnZ3OyvM8HRlJaKg/0uZoO8vsUlGTc3mZpqET4317XkoTrVco1fTU5IrmMyW5rqfh/ohOHupTco9P1OgVxXJdT13MqO64Gk5FdGQ00e6QgLaZXihoeqEgn2nqxKFkR7Yjnufp7HRWy7mKgn5LNx1OKRRsefd1T9RtR2cuZFSq2ErGAjo1kZJpGu0OC13g/ExO85mSAj5Tpw+nFAn5NTmX19R8QXPLRaXiIQ2mwrrpcEqW1fKcfAAdbHIur5mlonyWqVMTfYpHApKkhUxZF2ZzkqRjYwmlk+E9i2ElX9XZ6RW5rqeJ4Xjz5D0AnePCTE5zm/oSUqNv/ex0Vktd1rc+dymrhZXyFT8PcNDMLBY1Nb9387qdPme2Ib7+iI6MdFZ8AA421/X0zNSKFlfKWsyWlU6ENdAX6sr5wLU1KNtxNZqOamI43u6QcAO2mk/sBqVK4/5es7fX/1g/P3J6ok+x1fkR4CDzPG/fKnGEgz4NpcKaz5Q1OZfXbcfTe/p5ADrTbsbp1bqjpy5kVK7aSiWCGkpFdHYqK9t1NT4YayaLAQC2NrNY0N9/95JqdUc3HU7phbeOtDukbavVHZ25mFG5YqsvHtTJQ31dN4fSKi3f9WMYht75znfqIx/5iN797nfLsqzmYx/5yEf01re+tdUfiQNmLlNSvtTI6C+W65pZLDYfe/ZSVq7ryfOk87M52U73Z5u1St12dHE2L8+THMfTuUvZdoeEHTg/k1O5YmsxU9ZytqJiuc6/5TZcnM2rbruSJ80tX25LgIOmUrU1PV+QPMl2XJ2fybU7pC2t5KtazlYkT6rWHE3O59sd0g27tFBUqWJLapxGtLBSbnNE6Aa5Yk3zyyXJk2p1Vxdm8ipVGv3dTL6iQqmu+UxJhVJdc8uldocLYB+ttQXyJNu+fO92XU/nZxrjYNdtbNDeyxNLzl3KynEaY+5G39rZs88CsH35Uq3RR1jXl1izkq9qaV3f+uJc5/ets4WqFjLl5s/TDTEDe6FWdzQ5t7fzup0+Z3ZhNnc5vqWSCh0WH4CDbTFbbsxj5irKFWpaypW7dj7w/ExO9mp7O7NYVKlSb3dIuI6t5hO7xYWZvGr17fU/rjY/Ahx05ard6C9r75M4JOnQapLfJON04MDazTh9ai6vcrWxjp7JVfW9ZxYb+/s8aXq+oMrqYwCArX3jh3Oq1RzJk85cyGhxpfv2jkwvFFRe3VO1kq9qMdt9cyitsmdHt+bzef393/+9/uf//J/KZtlgjO2xHVeuu/XGk2vtR9nwGJV2Ntj890Ylou7krfvfta/289+ybrtdXcbK3RT71doZoNdd8ZvfoZfC5mu2m5qfK2O/seDr9tX7QOgNnuc1F1O2emzD9/K09uvQfGj1/zf/jgE4WNbaC08bb+N7PT5gXNmdrnXvQW/Z3I/0Ns0f7EY75gOuaHP4NcYBtfnK2+6VeK259jWdPv7eHA/DZgAdZdPcjet48jyvK9dSaG+7z1bzifttp3Pam2O9kffY/BR+RYGGtSocoYC1L1U3D5PEAXSVvZjXu2Lebjuv3fT95j4Aa6AA9prjuHK6+XD4HlivvSLmLvwZWmVPkjg+/OEP6+6779Y73vEO/dqv/ZqmpqYkSf/sn/0z/cEf/MFefCR6yLlLWX37yXl9+8y8soXqFY8PpSIKhxoDz1DQ0kg60nzsyEhCWq2qc2goJp+1Z3lKXSfgtzQ6EJUkGYZ0ZJQSyN3o8HBcwYBPqURIiVhAkaDvhssL74btuPr+2UU9dmZe3z+7qFq9O0/cPTwSl2U1Gon+ZEjJfTiJBOhE4aBPw/2N+6dpGjo80pn3hFQ8pGSsUQrd5zN1aKh7SqeODkQV9Dcq0kXDfg32ha/5fM/z9PRkRo+dmdd3nlpQocwpd72oVKnrsacW9NiZeZ25sHzFpGQiGlB/IiRJsixDE8NxxcJ+DabCSsWDCgV8GugLr17D0Xb8CADaJBJqtAXS6r17uDEGsEyjsWhqSDIaY+K9LDV7ZDQuY/XtRweiCvita78AbVeq1PWd1XvPk1vce9BbtupLrOmLBXfUt7YdVz9YnQ/43jP7Ox+QjAWUSjTG7Y2fp3vGA0ArBTfP625jDH+9ufY1m+fMEtHA7oJusYnhzo4PwMGW7gsrFvGrPxFUqWJrJV/V9EKxOTfYTQ6PxJtjysFUWLGwv80R4XquNQbYa57n6ZmpFT12Zl6PPTW/7Upem+/vN7JmtzZXKq3Nj3Tm2gaw3zKrSRx98f1Z+15ra6iYCXS2un15n88Pzi61tLL2xPDlfmM6GVI8cuPj9PHBmPy+xn6+eCSg24+nm+813B9RJEQfFMDemV0q6tEz83r0zHyjqmEXet7NQ82x1NHRhAZTkeu8ovOMDUQV8DfuBbGIX+nr7KnqZS1Pwf4f/+N/6MMf/rDe8pa36O6779a//Jf/svnYK1/5Sj300EN65zvf2eqPRY8olutayDRK47iup4uzed1xcuNA0+8zdfvxtGzHlc8yZRiGylVbs0tFWaahu04OyLJMEji2MDEc1+hAVIZhyNrDjT3YO8lYUM+9aUiu68kwtG//lvPLpWYJq0rV0exSUYdH9j55pNUaA8ABTc0XZJpSpWrvy2kkQCc6MprQ2GBMptm59wTTNHTTkX7VbUeWae7pptRWCwV8uvPUgGzHld93/QXbbKGmTK4xyW47rqbm8rr5aH9LYilV6ppbLslnmRodiNJHaqOp+YLs1ZPQs4WaMvmK0smwZpeKKlVspRJBnZzoU912ZZlG83f+2FhSh4YaG6c9z2v2gQEcLGttweZ790g6qoG+sAxJ1h638elkWH3xULMtQuebni9obrmkWt1RsVzXQDKsgQM8EdrrDMPYsi8h7bxvPZ8pqbQ6H1CtOZpZKjYOUVn3eKFUVzIWUDrZ2t8twzB0aiK15c8DHDQ7mdctbJ5rn8vrjqtsjoxHAnru6SE5rtfcSCE1xh8zS0VVa476E+07ECUR3To+ANhP+VJNiyvlxqFp6Wizb2KZhm49ltZyrizLMuS6ks8ydWmxqNTq5vpusX4Niva2O1xrDLCULStbqCkW9muov/WbenLFmpazFUmS43ianMvr1mPpG3791fof13O1+RHgIFtL2O7bp/76WgLVFEkcQMdZ67MG/ZYcz2vu82nsqyu1LOEzEQ3oeTftbJweDvp016lBOe7ldfS+RIg+KIA956zOka5Vfbgwm9NgKtx1ey/GBmP6kdtHVak62zrwp5OEVu8FN7qnqpftSRLHW9/6Vv2bf/Nv5DgbMziPHDmiCxcutPoj0UOuaA+v0j4ahtG8eB3H1RPnl5sb4spVWzcdac2mx17ERpvuZ7VjUnLTx3Vb52W9s9MrKpQaJ9yv5Ku669QgG0FwYHXLJEi3dtjX91eu/9zNf9CaGGzH1ZPnM7JXS0GWKnX6SW20+d/ZMAzNLBabJccXs2XdcrR/y9NquuV6BbC3rtYW7Oc4rzEWof/cLRayZS2uNDbw5oo1nZhISiKJo9ddq9+w3b61sel6X//d4kpZ5y/lml+bhrEnGxXpBwEN273fb3eYaW6RLDU1X9DMYlGStLBS1u3H0207EXOr+ABgv1Rqts5cyDQr29VtV0c3VUkP+CyZhimzO6cym9qyBoVd29xnzhaqOjuVlaTmmLDViRyb1wrNHawd7vT+zhgB2GhlNYljv5KuD61uAl/MVlSq1Dk1H+gQlaqtJ88vy1vdnHzlumRrP2834/TGay93nOmDAmiHbt3/eO5StplQ/+SFZd15cqAr91VtZ09VL2v56HZyclJ33333lo9Fo1HlcrlWfyR6SCTkb5SGNySfz7xiAnQr1brTTOCQGieMAWit4VSkuaE0GvZrJB1tc0Q7V1zXRtRtV7UWlowEgJ1KxoKNMvCGFPCbLSsDX6s7zQQOSSqW7Za8L3ZmYiiuYKAxCO1PhpSKB1Uo1y4/wdt4nwIAYLfikYD868oRB5kMxTYN9UeUiF6eDxgdiDUf29xvYU4O6CyNObxIc679yA3MtW9WrKy7rj3GlAAOrnLVbiZwSFvP38QiAQ2vtrv+Hba7QKts/h3dcE9vkUQ00JzT9vtMHe7SE2CBXrCSX63EEd+fJI5Y2K/+ROOzJqnGAXSMctVuJnBIUihgKRZpJFl1+z4fAGgFyzR0dDQhw2gkkx0bS3RlIkexdHl85zieKjX2PnazllfiiMfjWlxc3PKx6elppdM3XkIT3Ws+U9JKvqpY2N8s836jJobjOjQUu+HXhAI+hYKWKtVGY7RfJSKBXlKrO5qaL8h1PY0ORBUNbzwtw7JM3XKsX57ndWXnZb2+eFCZXGMiKxz0KcAmJgAd4thYcnXA2Lp2NhjwyfU8zS4VZZqGbjqcatl7Y/vWSkKuv58mY0E9Pbmias1RIhpobpIEAKAVhlMRlSu2PM+TZZlKtGjOpG43xpC242p0IKZYmBMXe5VlGrr56NbzAclYUE+cX1a5aisS8unmo1R8AzrN4ZGEJobjOx5n9sWCyhUaieemaSge9WspW9ZStqJw0KfxwRjVMQAcCLGwXz7LbB6WkoxtPX9zZCShw5va3XypptmlonyWqUNDcSoIYF8kogEZhpobOffqdP4bmdP2PE8zi0UVynX1xYItrwgC4HIljv1K4pAa+3qWc1VNzuWpAA90iGjYL8sy5DiNDkB/MqzxwVhzXs9xPV2czalSczTYF96TiroA0OnikUCzz7R5f2S36IsHNbdcktQ4JDYcbHkaAPZRy//1XvziF+ujH/2o7r33XgWDjV92wzBk27Y+9alP6WUve1mrPxIdJpOv6PylRsWVlXxVpmlsO5t3O4tKpmnolqNpLayU5DPNxokfALbl6cmV5qk82WJVzzk1KMu6ciGh2xM4JOnEeJ8WomW5rqfBVJiFZgAdpdXtbGNSrpH0aprGhhMD0T7r/53rtqtQwCdDhgI+U/V1FeYAANitof6I/D5T5aqtvniwZRO5z0xmlS81NvXmijXddWpQvi3GkOgdW/VTa3VHoYAlz2v0N+tUugQ60m7GmSPpqAJ+S5XV+4jteDo7nZW8xty/53k6PMJJ8wB6n99n6dZj/VrOVRQMWEonr74WuXHex9GZC5nmnFyt7rDRFfsiFgnolqP9yhVriob9e5bEIV2/rzG3XNLUfEFSo//g95lsGgVarFmJYx8PPJ0Yiuu7Ty/q4lxh3z4TwLUF/JZuO5a+os+6dq+emss3N/2uFKq6/XhakVB3bmAGgJ3wPE9nLiyrVm/syShVbN11arDNUW3f4ZG4IiG/6o6jgWSY9bku1/Ikjl/+5V/Wm9/8Zv34j/+4XvWqV8kwDP3Jn/yJnnjiCV26dEm//du/3eqPRIcpVzaWVC9V9r7Eut9namwgtuefA/SqcvXydeo4nuq2u2USRy8wTUPDnPID4ICo1R0ZMtS/uihWrrKxrtOUK7ZiYX/zBPNy1d7TRVUAwMGTSoTU6lpcperGUs21usMk8QHUqMDhby72liq20sk2BwWg5frXbbJcyJSldWcDrJ9TBIBeFwr6NDa4vbXIat3dcKgK7Sb2UywSUCzS/qq/m3/vy1W75WNU4KBrJnHsYyWOwyNxSdKFmdy+fSaA67tWn3XD/j3v8tweABwUjus1EzgkqVpz5Lpe1x0AbRgGB933kJavrh45ckSf+tSndPz4cX3qU5+S53n67Gc/q1QqpU9+8pMaGxtr9Ueiw/TFg5cbNkNKJdiEBnS6dPLyYmw07FfAb7UxGgBAq4QCPoVDl/O2+5OccNZp1veVTdPY15OyAADYqfUnD0dCPoUClGo+iFKJkLQ2BWiI03SBAyARC2xI2utPsFgIANcSDvo2VMPrp7+EAygVvzxuME1jXzeZAwdFtrD/lTiOjTdOcXj2UnbfPhPA7qzfF+TzmYp3QLInAOwnn2UqEbvc9m3Y5wy0yZ6ssJ48eVIf+9jHVKvVlMlklEwmFQoxKXVQREJ+nT7cp7nlkvoTocbEzDqFUk2O6ykRDeyqlDuA1jk6mlAiGpDjekonQqo7rkrFuqKh1iZ0VKq2yjVbsXBAfh+ntAK9rlp3VKq0vi3BjTNNQ7ce7ddSriKfZTYXih3XU75Yk99nKhrmhJV2SifDcl1PK4WqRtJR+X2mVvJVBfwmp98AwAHWyf0oz/OUigdlmVIw4FM6EWKSu8fV6o6KlboiIb+C634fE9GAbjuWVrFcVyzi31bfpVy1VanZikcCVHEBOsCNzNl5nqdK1daR0bgcx1Mo6FMiyoYPAAfb9ebYLNPQLcf6tZyryDAaG0YqVVuhIEnQODj64kHdeiytUrmueDSwIbGpVKmrVncVjwZkmUZzH0E8EmCcCWzDymoSx35W+T46mpBpNKqAZHIVDnYAusBQf0Su5ylfqml8MKaA31K+VJPLHj4AB8jpiZQef3ZRhmno5KG+docDtD6J49d//df17ne/WxMTEwoEAhoeHm4+Nj09rd/7vd/Tf/yP/7HVH4sOUqnZemYyK9txlS3UFPBbzezdybm8ZhaLkqRkLKDTh1N0AoEOYBhG8yTVYrmuJ84vy3U9WZahW4+lN0yo7lS2UNVTFzPyPMnvM3Xb8XTHbUYC0DqFcl1PrmtLbjuWZnGyTSzL1FAq0vzedT09eX5ZxXJdknRkNKHh/sjVXo49li1UdX4mJ8+TsoWaLNNQ3W6U8Dw2lqQMJgAcQJ3cj/I8T2cuZpQr1CRJY4NRWWzA72mVqq0fnluW7bgyTUM3H+1XbN0GxWjYv+2k4Ey+oqcnVyRPCvot3Xo8zUEPQBvd6Jzd05MrWsk3NocNpyMaYhwJ4IDbPMd2eCSukXT0iuf5LFOpeFCPP7ukWt2VYUinJlJUI8CBEgv7N4wjJGkhU9a51RP8wyGfkrGgZlf3ESRiAd3EPgLghtTqjkoVW5KU2sd7Syjg09hgTFPzBT17Kavnk8QBdLylbFkX5/KSJ5UqthLRgBYyZUmNpMvTh1NtjhAA9t7ff2dKk3MFSY1k1JfdNd7miHDQtXx17K/+6q+UyWS2fCyTyegzn/lMqz8SHWY5V5HtNDaeua6nxZVy87H5TKn5dbZQU7Xm7Ht8AK5tcaUs1/UkSY6z8RrejYVMWV7jbVW3XS3nKi15XwCdaXNbssQ13zEK5XpzcVmS5pdL13g29tr6+2O+WNvQX17/NQDg4OjkflSl5jQTOCRpjn5Ez1u6xjzfTi1kytJq/6dad5qbwgG0x3ymtGHOLrPFNVnbdK0yjgQAqVjZNMd2jXmcTK6qWr3Rp/I85nwAaeN1UK7YOr+a0CFJuUJNFfYRADdkrQqHzzL2vfL68bGkJOnZ6ex1ngmgE2yYk6s5zWRKqbGRuVKz2xQZAOyPSs1uJnBI0vlLOdmrB2wC7bKvR5xls1kFApTX7mXFcl2FUr15erCkDad2rf/aNA35OGUP6BiZfEVL2bJ8m05RDQZaUy0j4N+b9wXQmTZf8wEf13ynCPhMad0BZpv/ra6nUrW1kCmrVKlf/8m4rvV//5WarWrNkbe6g2q7/zYAgN7Qyf0on2XKNC93JA5KdcV8qabFlfKG+a52chxXS9mysoW9T37Y/PvXiv7J5t8b+jzA3rEdV4sr124vNl+TwS3adss0DmT7DwDX4veZcjxXuWJVxXL9mm3jFW0t6yPocTcyh7xhHGBIkdDlzeemaVyxXglga2vJ1slYcN+r1xwbbyRxnLuU29fPBbAzm/uk0ZBfhVJNuWJNhiH5ufcC6HEBnym/ZapctVWu2gr4TfYvo+18rXiTb37zm/r617/e/P7Tn/60vvKVr2x4TrVa1SOPPKITJ07c8Pt+4AMf0N/+7d9qenpan/vc53T69OkrnvOP//iP+tCHPqRisSjTNHXvvffqV37lV2QYhqampnT//ffr1KlTzef/7u/+rg4fPryDnxLXk8lX9PTkiuRJhXJNg31hpRIhja4rHXzqUJ/Oz+bkOJ4ODcWYfAE6xPmZXPMEvWjYp6H+sAqlupKxoAb7wi35jPGhuBzXU6liKxUPKhWnpCrQy0b6o6rXXeVLtUZbkmpNW4LdCwV9OjGe1OxSSX6fqaOjiRt+balS1w/PLct1PRmGdPpwSsnY/pXn7kVr98dnplYkSeGgT0u5ik5N9G3r3wYA0Ds6uR/l95k6NdGnqfmCLMvQ0ZHev1fNLZd0YaaxGSHot3TbiXRb57Mc19MPzy+rXGmcjDc2GNWhofiefd5gKqxKzVa2UFU8EtBIf/T6L7qOiaGYHMdVpeYonQzRnwT2iON6euLcssrVRnsxPhTT+GDsiucdGorLcTyVq7ZSiaD64ldek5Zl6vThlKbm8zINQ4dH9q7dAYBu4fdZchxPmXxVPsvUsfGr94374kFNDMe1nKsoHPTp0BbtMdArbnQOuTH3mVOt7mooFVE84teF2Zxsx9P4YEx+NlMBN2StEsdW/fi9RiUOoLscHonL9TxVa44G+sLK5CqaXijI9TwlY4ENhzcAQC8yTVOHR+N67MyCDEnHVvsyQDu1JInj61//un7v935PkmQYhj796U9v+byxsTH9xm/8xg2/7wMPPKC3v/3testb3nLV5ySTSX3oQx/SxMSEqtWq3vrWt+rzn/+8Xvva10qS4vG4PvvZz27jp8FOLWUrzbJrqXhIY4MxjaQ3LuyGgj7dfKS/DdEBuJbFlXLz62LZ1onxPoVGW3KLaLJMg84PcICYpqEjbEDvWOlkWOnk9jeEZvJVuW6jw+d50nKuwqa7XVq7Py6ulLVagEOSdGQkIX8HnbwOANg/nd6PSsaCB+r+v368XK07yhdrSiXadyhBuVJvJnBI0tJKZU+TOCRpYjiuieHWfYZlmTpxqK9l7wdga6VKvZnAITXas62SOCzT0PHx68/ZJaIB3Xos3dIYAaCblSp1BXyWjqwmNmcLtWs+f3QgqtGB3SfEAp1u5QbnkP0+S6cmUhv+7Cb2EQDbtlaJo68NczVrCYyXFguqVG2Fgq3dXwCgtXyWqZPr5uQm5/LNeUXPa8x9hgJcxwB6l+24skxTL7hlWFKj7XNdjyQ2tFVL7rxvf/vb9fM///PyPE8veclL9LGPfUy33nrrhucEAgFFo9ubmHrhC1943ees/5xgMKhbbrlFk5OT2/qc7fA8T6VSac/ev6u5dVWrl8uye06IvyugS4SDPhXLjZLGlmVQKgwAsKVQYGNSQZgJ+ZYJBXzNDVY+y5RFxToAADrC+vGyDCkYaG+SZcBvyTSN5qaoUJCkTwBbC/gtGYaayeKM3wCgtWhnga1tHjOxGRTYW9nVShztOHAjFQ+pPxHUcq6q8zM53XyURCygm4QClkqrh8VYliE/a5MAepxlGvL7TNVtV1Kj+joJHGi3loyYQ6GQQqHGCXSPPPKIhoaG5Pf7W/HW27KwsKAvfvGL+oM/+IPmnxWLRb3pTW+S67q699579eCDD8qydr64Wa/X9cQTT7Qi3J7jep6KOVuVuqtYyNKlyUVdandQAG7IyYk+Tc7l5bqexgai8jE4AwBsIZ0Mq1Z3lS1WFQv7NdwfaXdIPePU4T5NzTVKFo8PxmQxWQAAQEc4MhKXYTROohtKRRQJ7f+c53oBv6VTE32aXSrK77M0MXzlqfoAIDUWIU8fTq1rL/a2ag8AHDS0s8DW0smw6rarlUJV0ZBfI2nmkIG9tFaJIxVvT9XU4+N9Ws7N6enJFZI4gC5z6nBKk7N5uZ6nscEYB8wB6HmGYeimIylNzRdkGNrzKufAjWj5sQfj4+OtfssbUigU9K53vUtvf/vbddttt0mShoaG9OUvf1npdForKyv61V/9Vf3hH/6h3vGOd+z4c/x+v06ePNmqsAF0mV5N4gr6rQ1lEwEAuJrRgahGB7ZXYQ/XFwr4dHKir91hAACATSzL1LGxZLvD2CAZC7blhE0A3Yf2AgD2Fu0ssLWRdFQjaeaQgf2wlsTR16YkjtOHU/rWE3N66mKmLZ8PYOeCfou1SQAHTiTk1+nDqXaHATTtSe3Kb37zm/rEJz6hs2fPqlKpbHjMMAz9zd/8TUs/r1Ao6O1vf7vuueceve1tb2v+eSAQUDqdliT19fXpTW96kz7/+c/vKonDMAxFIpwW0ek8z9NCpqya7WggGVaIEsbAFUqVupZzFQX8loZStGsADpZKzdbiSll+n6WhVFiGQdUDdB7X9TSfKclxPQ32hRXw77yiIAB4nqeFlbJqdUfpZFhhxskAcE1129F8pizTMDTUH6FSGtBDlrJllSq2UomQYuH2VlgCAEmq1R0trJRlmYaGUhGZ9DtwgDmup/nlkjzP02AqIr+PU8GBa1kpNJI42pVUeNORxibIJy8st+XzAbQOfVIAB4HtuJpfLkmGNJyKUIUIbdfyFftvfetbeutb36oXvehFOnv2rO6++24Vi0V95zvf0cTEhJ73vOe19POKxaLe/va362Uve5ne8573bHhsaWlJiURCfr9ftVpNDz30kG655ZaWfj4608W5vOaWSpKk+eWy7jiZlt/HpjdgTa3u6Inzy3IcT5JUrTmU+gZwYNiOqyfOLatuu5IaSW2ddroyIEnPTme1nGskxS9myrr95ACbBwHs2NR8QTOLRUnS3HJJd5wYIDkMAK7CdT09cX5ZlaojScqXapzOBfSI2aWiLs7mm1/fdjytSIhEDgDt47ienji3rGq90e8olOtUTseB9vRkRrlCTZK0lK3o9hNpDmECrmEtiaOvTUkca2Pl2aWSVvLVtlUEAbA79EkBHBRPnl9WqWJLalQ0u/VYus0R4aBreRrR7/7u7+qNb3yjPvrRj0qSfuVXfkWf/OQn9Zd/+ZcqFou67777bvi93v/+9+vlL3+5Zmdn9ba3va352ve+97165JFHJEn//b//d33/+9/Xww8/rNe//vV6/etfr9///d+XJD366KN6wxveoNe97nV6wxveoMHBQT344IMt/onRiXLFWvNr23FVLNttjAboPMVyvZnAIW28ZgCg15WrdjOBQ1JzQQjoNNlitfl1te6oWqNPC2Dn1vf5HcdTsVJvYzQA0NlqttNM4JCkbKF6jWcD6Cbr+0SeJxVK9IkAtFe1Zjc3y0nMVQLr79Wb5/IBXGklv5rE0abkiVjY3zws8qmLmbbEAGD36JMCOAhsx20mcEiNeUHX9a7xCmDvtbwSx9NPP61//s//efM0BMdp3OBvvvlmvfvd79aHP/xh3XPPPTf0Xu973/v0vve974o//+AHP9j8+sEHH7xqYsb999+v+++/f7s/AvaQ47i6tFiU63oaTkcUCrT8V1BSY6BYXm1wTdNQJLQ3nwN0q3DIJ9M0mh2RWKQ7TptzXU+zy0XV6q4G+8KKhrsjbqCb5Us1LWUrCgUsDfdHeuLEq1DAJ59lynYaiz/RLmkDcfDEIwGt5Kuq1mwVK7aWsmWFAj7KFwMHWLZQVSZfVTjo03B/ZFuvjYX9KpYbmxQb42Tuf0Av8DxPc8slVWqO0smQ4pFAu0PqCQGfpaDfai5e8/eK/ZQr1rSc661xeCeJRfzNjW4yxPwigF0pVeqaz5QV8JkaSUd3NGcT9Fvy+8zmRvVuWa8B9kos7G8mWQYDlnxWy88lvSrbcTWzWJTreRpNR6lgio7nOK7ypcZG63ZWwLj5SEqTc3k9eWFZL7ptpG1xANi5dvZJHdfTzGJBjuNpqD+icJA9fgD2hs8y5bMMzSwWJUnjQ3H2XqDtWn7XK5fLikajMk1TgUBAmczlTOvjx4/r7Nmzrf5IdJGnp1aa2brLuYruPDUoaw8awiMjCQUDlup1VwN9YSZYgE1CAZ9uPtqvpZWyAn5LI+ntbQBrlwuzOS1kypKkxZWy7jw5wPUN7KFy1daT55flrSae1223eZpON/P7TN18NKWFTFn+1QVWoBOdGE9qcr6gJ84tKR4JaGaxpFrd1QnKFwMHUrFc15mLGWn1vuy4rsYGYjf8+onhuAJ+S7W6o3RfWEH60UBPmJovNBccFjIl3XFiQCEWOnfNNA3dfKxfs0tFmYah0QHGDNgfpUpdZy5cHofbjqtDQ90/Du8kYwMx+UxTpaqtVDxIEgeAHavbjp44v9ysel6pOTo+ntz2+1iWqVuO9msuU5JlGhplrhIH3OnDqQ2JFPu5qeqpi5lmAslKvqo7Tw6QUIuOlivW5HmSYUiJNh4+cNORlB7+xkWduUAlDqBbtbNP+uz0ijK5xmELS7mK7jw5sK9JnAAOmLXuvWGouegKtFHLV/TGxsa0uLgoSTp58qS+/OUv6xWveIUk6Zvf/Kb6+vpa/ZHoIutLk9dtV7W6sycZtKZpbGszC3AQxcJ+xbpskbJQvtyGuK6nUsUmiQPYQ6VKvblxRFLz9O5eEAn5dWS0u9pAHDyWZao/EVI6GW7+WaGHrkMA21Ms1zfMJa4fX98I02QTMtCL1k7clCTPk4qVOkkcLRL0Wzoykmh3GDhgShV7wzic/v/eGNpmRTMA2Eq56jQTOKSN/bLtCgV99DuAVT7LbNthUuv7XtWao7rtsg6JjrZSaGx6TkQDstq44fnmI/2SGolQjuO2NRYAO9euPun6tQ7bdlWtOfKFaUcAtJ7tuLJtT4Opxtxgre7KdT2qcaCtWr6i96IXvUjf+MY39OpXv1o/9VM/pfe///06e/asAoGA/uEf/kFve9vbWv2RaIFK1dalxaIMQxobjO3ZiZzJWKCZPRsMWD198mepUtfMYlGWZWp8MCa/b386mJ7naWaxqFLFVioR3LDpDweH63qaXiioWnOU7gspFQ+1JY5q3dGlhYI8TxobjCoU2N1tJxkNqFyxJTUmcaPhztmYUqnZurTQaEdHB3b/swKdIBr2yzQNuW5jMTIR290pPq7r6rtPL2olX9XESEwnD6VaEea+W1wpayVfVTTs10g6wklc2FORkE9129HiSkWWZej04ZQuzOZUt12N9EdUqtrKFWqKRfxUlQF6mOd5KpRrmlkqKhryKRENKhG98r48u1RUoVRXIhbQUGrnmxPnl0vKFWlbgE7heZ4uLRZVrtjqT4bUn7g8xo9HAzp/qdE36IsH5XrSM1MrCvotjQ3G9qQCLoC9Ua7aWsiUNJ8pqT8eks9nKhkN7nschXJds0tF+S1T40Oxjjr9cr/WMQDgRkRCPvl8pmzblSQlY1e22eWqrUsLBZmmofHB2DU3g69v46733P22lC0rk6sqEvJpdCDKfOgBsrb2JbVmnW8rtuNqeqHQnO+M7UE1gRtdP09EA8oVGglZ4ZBv39b3gZ3K5Bt7b7a6B+2nQ8NxRUM+FSu2nr2U1amJ7lz/A3pRJ871b74vJ2NBLa6UJUkBv6lQYGM/OFuoaiFTVjBgaXwwxmZrADvms0z5faYm5/KSpKOjia5sU2o1W99+akHlqq1bjvZ3TPuOnWn5KPuXfumXlM1mJUk/93M/p0qlos997nOSpAcffFDvete7Wv2R2CXP83TmQkbVuiNJml0u6dShpAb6Wn8a1YnxPs1HSnJdT4Op8HUbwXLVliGp5riq1Wz1J0Iyzc6fLHEcV0+ez8h2GhO35YqtW47178tnX1osanq+IElazlUU8FuKt7F0Jtpjcj6vuaWSJGk5X9Htx9OKhFp/4rzjeqpUbQUD1pYLuk+eX1a11mhb8sWa7jo9eNX3yhaqqtvONdueieG4QkGf6rardCIkv2/3ixiVmq18saZkNKDALiafz5y/3I7mijXdderqPyvQLUIBn2491q/lXEXhoG/XiYHffXpR331qXlXb1cXZvMJBv8YHu6tyVrZQ1bPTjb7ucq6ixZWyBvpCGqUCGHahVLFVLNeUjIcUWF0YtJ3GSTOmacg0DQX8pizT1ORsTvHVjVxTc3kF/I178HKuItMw9v1E2ZrtKpuvKB4NkMAI7KG55ZIWVyoKBy0t5yo6Npa4YkJubrmki7ONScflXEV+y1Qqsf1k7qVsWedncs33MU1jVwkhaD/XdbWcqygU8CkS8qtcbVQ0ZDNK95heKDQ3Ti3nKrr1WH9zY5PreAr4TcmQHNfVmfPLzQ1/tuPq2Fiy+T627SqTryga9ikSuvG5IsdxVak5Vx37X01zvL2ujwNga67r6cnzy6rbrpLRgKq2rZuODu77AT1129WZC8tyHE+O5ymTr+r2E2n5LFMr+Yoc12vboUGe5+nJC8uq1Rtz7oVSXXecHFCpUlOxbCu1mvgCAK1Qq9nKXmfdwGeZuvVYv5ayjfHXYGpj+7i+bZca8z+3HU9v+V6u6+mJ88uq1h3V6o6yhaqec3qopT/TTtvxbKGqs1Nr86GSDGmMudAD48yFTHOdb3qhoDtOpNW37uA4z/NUrtryWeaOE4/OXco2D4FcyVd116mBlqz/rXej6+enJlJ6ZnJFjuPo9JF+EpbQ8VbyFUlSf5sOdFxjmYZuPzGgrz8+q+89vUgSB7DPSpW6TMO4ojrvUrasZyZXVKzUFQ35ZZlX9lnb4dJiUeemVlSuOVpc8euWY2lFw37ZjqvBvvCGaj7lqq2nLmaaVUsd19PRUSrYAdgZz/PkeZ4WsyVZhqXDw971X9SBvvq9S801o9mlol7/8uPbWvNBZ2n5Lpv+/n7191/erP62t72N6hsdznG95sbjyfmcnpnK6pmLGY0PxXTPCw639LNM07jhzK/JubxmFouams9rdqmkRDSgkXRU97zgUMcnctRst5nAIUml6v6VvS9V6pu+t0niOIDWqlVIkrzGwKbVSRx129EPzzWSNCzL0C1H+zd8huN6zYldqVGV42rlUx9/dkmPPTUvedL4UEyvfP7Elp9pGK3dQJbJVfTwNy+qVnMUCfp0/48e2dEJP7bjNttRqVFi2XE9TjxFT4iE/C1rP87PZPXkxRW5rqeg39TtJ/q7LomjuO4++9iZBU3N5xSLBHTzkZRe/4qTbYwM3WpuuaQvPTop23YVi/j16hcfXV3kbyQEO44rT2ousE/NF5pJHKWqLcNQczNlsbJ/fU5JKlVq+uv/fUGlqq2Az9K9L5qgChywR4rluuaWinrywrJcT/I86chIcsNGxSvGglVbO1kuLa0fS2jT2AJdx7Zd/c03L2pxpSxP0nB/RH2xoEzT0M1HUntywilab/N1WarYzX+7YqWuxGrfoFCuqVp3mpuniuXL7ULNdvXFfzynbKEmyzJ0913jOjQcv+5n1+qOnjjX2FDo85m65Wi/wsHrTykvrpT0N99s9HEiYb9e/aNHFQmR8Alcje24zU2+wYBPQUNt6Vs35u882Y6rybm8PK+RIGbbrp6eXJEkHR9P6iV3ju17bLbjNRM4pMZ85+RsTl/93iU5jqe+eFD3/+hRksYA7Fq2UNVDX7+g6moS6/0/cuSqJ5yHAr6rzm/W17Xt0pVjtvUc11WlZmtqvtA81OPYWLJlJ6t/9+kFff+ZRUnS0bGEXnbX+A2/tly9si+Kg8FZPWRGkn54bklzyyWdu5TVnScH9JzTQ3LdxkGR+VJNhiGdnOhTagcbyUvly79TruupUnNansSxfmwkXX39/HtPL+jxZ5ckSSuFWlv6PMB2LK8mQKUS7a3EIUl3nlxN4nhmUW+651S7wwEOjPMzOc0vNw54PTQU09i6vul8pqSvPz6rmu0o4LMUjwU6Ionj4mxOX3t8Vo7rKRz0aWwwpsMjWydmlKt2M4FDunafGgCux3E9febvntHF1QTv87NZ3XlqsOuqcays9gElyXE8ZQs1kji6GLPZB9T8cklPnl/WhdmcTMNoTlJMzuYV8lsyDEOXFopaXCm1JT7HbZROk6SLc3nlSzW5nqfZpaKWspW2xLQdQb+l8LqF6Z1MWO3U+s8yTUOJKA30QdQXvzxR47PM6ybyVOuOnplc0ZkLy8qXajf0GYsrlebkreN4ml3a2F5YpqFE7PLnJqKBLRM4JOnxc0vS6sBrer6gTG5/rvMnzi+rtvozlKp2czF6u3yWueFaS8QCJHAAW6jWHLlu42KvO55q6xIe94Prerowm9OT55c1n9lZH2dt06PjODp3aaW5Qe7JC5lmmXVgO354bkm2ffkk2bNTWc0tl5oJwYZhqFy7vJA5PnQ5Ibo/Ebpc/cKQAj5LZy4s6+nJjCq1vV9Qf+riikqrC/k129ET55f3/DOBgyqVCOnCXF6u12gXSpW6vvv0vP7/7P1pjCTped+L/mOPjNy32teu7uptumeGM0MOZ0htlE1Rlq5sw0cQBRwDhgXBFmXDhmFAhmAQlmXIkvzFhnDtA+va1tWBjQNZ1zqQj2RtpCyZpEgOh+SQ03t37VW5b7Hv90NkRmXWmlWVVZVZ/f4AgpNdWZmRlfG+77P+n0erNWyWZPi+H/iCbROUonDqYp9UXEAoNEn1+haE0WOnqoaj6DXDxtP1OoDALtqpqpd5aYQTcFSsJ9M1cScW4Xv8/+6fre800Wzbq67rB354H1Qaeiha4DgeirX+7OgHK7XQxtF0G8836+HPXM/H2k4Lj9ZqKNf1vl6PQLjqcCyNaGRXQCF9Qedvd57AaxdPiAIDWbNgtxvNXdfHew+L4e+82GpCMy7e/+XY3hhnKi7gwWowNQQIlLvXd5oXfl0EAmG0cF0PK9tNPFqrodo82A55sr47ecC0XDw6ZbyD37e3H54r5FgGVPv9AEASWBQGaK8/6LL9VrdbUPrMAwFBbqe7oOWizijC5cMwNBIxHobpoFjTIPAMaIoKmxxaqhXmFH0foRLsSekuPhd4BlIfTeMnpds3omkKyUPy591rZdA2j+t6WG37QYftPwTCSam3J3FcZD3KYdy/kQcQ5P27mxgJBML5YTtu2MABBFOzuinXdVhuYF9arovKkMThSjUNbrtmwLBc1I6oA4xLXI+YVTouYrus4NFqbd/nJRAIhONQFQNblV2/ZaMgwxhBoYKJnISabKDS1EFTFLKJy7cFCafnXOTP3nvvPfz3//7fsb29DcPoPWgpisJv/MZvnMfbEvqkqZhY3WkBCIIrNEVheT6NalPH8806nHbSAxQGrnLRLzQVBFBU3Ybv+6ApKqhFoYJkzbBD08FUgmrTAENTyCYvbqPMpSLgWBq66SAZE/pSRyRcPSayUYg8C8NykIoLx44wfrbRCFVoFL2OV2/kQ1Xvw9j7c5bZ37SwPJtGpR2IzB2hHsizdNhMAQoQ+N3XVjQLPnAuE2V4jt7z+PR73vJcf5+VQHiZmZtIoNoyYFoO4hEB+dTFrpWtsoJiu+GspVoQOObEBa6SyOHOYgYt1UImKYbKHwxDgeMvx246Dt/3IWs2WIYa+FQmwtkRus4ey3Hhel7PGRsopWfA0BQ4lkY2GUG1qcN2PGSTEdiOi5ZqIcIzeLbVDAuYDMvFvaXc+V77nnteOMM5SiAQjiaTEDE7HsNORYXAMbAcD7WWCdcLzjSOZTCekXBnIQNFt5GI8qfe8+MSjzuLWciahZjEIxYhZ8co4Xk+ZM0Cx9KQRA5i115NUxSYLr/tOJ+PMDzk0xHwXBDrScUEiF2xnolsFALPwLRcpBMiKAC1lgGBY5DuCtwLfG98qF//d68Yw0G+fzeBCi+17/W733+zJIfNIC3FgigwZIos4aWHoijcWsig2tBBURRyqfOPJ3fnCapNHapuY3kujTuLWXAMA4beFS3hu84TigLYS5qUvTyfDv9G2aS4r2Bj715HIBAIe1kvymETaUu1IPJsT6MF0Gsn2U4wddv3fVDUyYSbKCqYfldtGn3t7ctzGbQ0GxSCxolB2ussQ8NtF/BRFHoK4Y5DEjncvZZFUzEhiRwRj3vJWJ5NIyaxeLReC8VkeI6B5/nQDBum7YYxweN8hcOYm0ggGuHCeOdhgnBnYW/+XDwkf85xTJivHLTN07P/KAfvPwTCSWmEkzguv3BvbjyOZIxHU7HwZL2Ou9eyl31JBMKVh6YoUBS68tW951Y6HuTjrfbk3lRcgGE6MG0XsQh3LmduP2RTEWQbOhzXg8CxSByRr+dYBnevZVFvGRB4BrbjYXVbBtDOjTA0xjLSRV06gUAYcTiOQ0RgQ0HMiMBBkkbPJs8mI5gbj8N2XExmY/BPGK8gDBcDj2j/9m//Nn7+538eyWQSi4uL4Ljem9zvnnFFuBT2jr01LAcMTWEsLeEvfWweX/pgB47j4s617MDG9J4UigqK1ApVFamYANvxIIksbi9mkRoCFYF+YBka45dkKCZjwqV9d4ThIVDM7e8+6N4XXNeH43jHJghyKRGKbqEhm4hGuJ6xjB3o9t5yHO/en8KXvxPsPfeu58MRX2s7rbCwI5+OYHEq2dfn6Zf7Szm0VAvVpoHxjITbC+lTv1a/n5VAeJl5bXkMim6hqViYycdwfeb0a+407LWBOsp2J0USOUgihx/73uv4k6+vw3M9fPL1aUSGsInD9308Wa+Hqssz4zFM5fbv14TL4yO3gnWxXlDAczQM04XG2UjFBah68P9TuWhPoUC2q1mwU6RrWE7YwAGc/v4+CTfn0qg2DOxUVaTjIl69fr5NIwTCy873vj6DL317G5rpIB0XkIju2vpG+4yLSTxiAyiEjkY4UkgwgnTO/ZYanPtzE3FMZKN4ZSmLpxsNpOMCFqYSsGwPEZHFzFj8kq+YcBKOivXsVdycyEb3PWd2PI6b82ms7rQQl3i8dXu8r/fNpyJQdRtNxURM4jB5hC35bLMRKuflkyIUTUJdNjGZi+L6zK4/b+yxy3XTIU0cBAKCqbYXWXhgdKbTGja2ygrKDR2W7eLutSxuLaQhCkwY9/uht+fxjUcleK6P126Ogb+kZom9f6O3bo/DtFzImoWFyQRmx8nZRiAQjsYwu+IlfpAj3ev73F3MotYy8GK7CXiB8NyT9TqW59InbuRgTlBUlkmKuL2QQaWhIyKwmJsY3J72iVen8LUPi3BdD6/dHNud7NonEYElonEvKTRNYSafwA++NY9vPS6BZii8dXscj9ZqUDQbimbB5hlMZKOYn0yc+n2yFyCO1k/+/JOvTuGrHxbguT5evzVYm2dvvPag/YdAOCm1cBLH5deG0DSFe0s5/K9vb+ODZxXSxEEgXAAMQ+P6TArrBRkUjX31NLcXsqg0DVQaOnLJCGbyMXzwvAL4gCgwuLOYvRShn4/cHIeq22ipFmbH47g2fXQdkMAxYbxzvdDq+ZlujZ6CPoFAuDwkicO7r07if35jCwDwfR+ZvuQrOh2G5fbU/VhdzfWE0WPg0ZZf//Vfx2c+8xn88i//MnieJN+GkVRcwHZZheN6ANWrGJ9LSfix71k68PcKVRWVhg5RYLEwmTg3Q67a1LFVVvFiq4mZsXg4eePN2+M943oJBMLgyKciYbNETOL2KWsfBEVRA2uqyKf37z2e54fXBACFmgbH9WBabqAa5flgaApzE/FTqwzzPIsfeHPuTNdOIBCCgsHNktIu7OIxNx4/8MyWRBZ/+WMLF3+BbXKpCBqKCfhBs2XyBEFtw3SwWmjBdX1M5aNIx0XcnEvj5tzFNqKcFN10wgYOAChUNdLEMWSIfLAu/te3tlCqa1grtJBLRfDu/akTTYgSuEDBWtaC7/siJsHRNI1PvHYxgQ3f97FRlNFSLcQlHrOH7DMEwlUmFRfxVz5xDQCg6jYertbgeT4oKij2OS2e52Ot0Aobx0hh/+hSquv47osKgLaPV9UwkY3iteUxvLY8dslXRxgG3rozgbfuTJzod+j2NLDgfwwOO30t2w0bOACgJpv4wY/OH/jcXCoS2qgsSyM1pEIkTcXEZkk5c+yBQBg2VN3GWqEF23FhOS4aigkfQELiYdke6i0TYxlpX9xvdvz0hZnnRUzi8UMfX7jsywiRNQsbRRkUgn2DFGYSCMNHNiWGsROOpXua4zuwLI3vf2MWyZgAx/EAAE3Fgm46h9oDW2UF9ZYBSeQwP5kAc8qYxex4/Fwa0iZzMfzY915+TPCics2EwXNtOhkWWMqaha2yCiBovhD4oAj0vLhIu3wyF8Nf/d7rUDQL60UZD1aqmJtIDGRKaTYZCUUXgv2H1NIQzk49nMQxHH71/Rt5/K9vb+PbT8v47F++edmXQyC8FKQT4qHTeDp2bYfvvqhgu6zAdjwkogIyCRGKZsP1fMyMxS5MLFgSWXz67YVT/W4mGUGproe5kewQTCIiEAijg+N6yCQiuH8jDwBIRAV4nj9ydQf5VASbpWBCcURkSe5ixBl4E8f29jb+6T/9p6SBY4gReRZ3l7KQVQsRob8xnbJmYb0QjCPTjGByx6AV8YFAceL5VhO+50M3HRRrKmbG4mAZ+tSbZbWpoy4bmMhEB6JISiBcFk3FRLmhIZeMDHwizfxkAsmYANfzkI6LJ1aTOg9omgLL0rtJEtkEDcDzfbzYamEyKyEm8Xi22cD96/nLvVgC4SWn3NCxUwmSNprhQOAYTOb2q/9eNpmEiLuLWeimg0SUP1GB/LPNBjQjUPJ4ttHAa8tjYaNpN57nYa0gg6aoMymPDQqOpXvG6PIHXDNhOCjVtfAeK1TVI5+7VVZgWi5mxuPhd0pRFG7Op1GXDdA0tU+Re9Qp13UUqkFzp2Y44Id0nyEQLgqKohARGbA0jbmJxJkUUbfKCsp1HUCwviICeyEKmITBs7rTDJWFt8sqcinyPY4yjuNhoySDZehLVZYv13ttfZ6jD2wKZtqxO88LDM+DbOUOQaEXC+MUdvlF4boenm40ws9DYg+E86Rc19BUTUzlouF02vPkyXoddjvexjI05icSkDUrVGU/av0SDsfzgolYnQmJTzfqpImSQBhCxtISJIGFabtIRPkj43v1poF4u8iaog7fH+stA1vt4gnNcMCxl2u/DStNxbyQXDPh/OEYGqAAhDHn87Pn99rlTzcaePVGr12uGQ62KzKSUQH59NmnmgVTLhuBICYC2+kjN89+pufTEUQEpmv/GT4/iDB6NMJJHMORD3h9OVifD1drUHR7IA1QBAJhcNSaBhTNBgCULQ1PNyhE23GIpxsNvL6cBzPkTbaxCIdXrmWh6DaiEe7KTItryAYqTf1c6sEIBEIXvo8PX1TD2OiDlSr+0scOFqMaZqbyMUQjHBzXQyomnFpI4rIhdd0BAz/JlpaWUKlUBv2yhAEjcAyEEyTzLbt3vKe55/GgsB0P8IOClOl8DA0lGNc+f8qRwRtFGX/2zU34ftBh/ENvzxNjhzCSVBoa/uhr63BdHwxD4QfenMN4nyO4+yU1BGNW97I8m8JaO6gvCAxM04Xn+vB9H3Y7eGrZ3mVeIoFAwH47Ye/jYSIa4U6lhNm91/g+YDvugYnbL7y3GRbgrxVa+J7XZ05/sQOAYxlcn0lhs6yApWksTF1+YwnhYMbSERRrOjzf75mUt5dvPi7hwxdVAEAyxuMzH18E274XaZq6soXXe/2PYd5nCITzRjMc/P6XX0BvF+tTFIXlM0yG6gQqOxD7ejTxPB8UKEzmoqg1DTAMhYUhaCglnA7P8/BHX1tHtRk0WN2YTeFjr0xeyrVYzt4z+OA9gqEp3JhNYaMog6YpzE8cff/FItxQF3M4nh8WigFkbyScH8826/iL7xYAHxB4Bn/l3YVzbeTwPL/n7KcpCncWM9goKdANB5nk4QqehKNxPT9s4AAAy/Hg+/5QiOUQCIReYhKPo2ZSdOJ7tuNBFBi8spTDTD52aMH13pjFeeVQR539vif5O40qosDi2lQSO1UVHEufq+/p7rPLe+8bzbDw/3xpFablAhTw9t0JXJ892/Rsz/PDBg4gaLAflDrvcfsPgXASTNuF2haGGhYbfiIbxex4DBtFBd98XMInL2iSN4FA6I9MQkStabQncfCAv3u2eV5QgzPsTRxAYIuIV6R5AwjEPf7467v1YD/41txAGlMJBMJ+HM9HMiagpZgARSEu8XAcL6y3GCUuanrSebG208Kff3sL8ANhgE9/fH7kP9NpGfiJ9g//4T/Er/zKr+BjH/sYxsfHB/3yhEsiGRMg8EwYABkfkLHgej5WtppQdAvJmIC58WDEuKrbiAgsbs6nMZE9vcLui61GqDztOIFyDmniIIwiL7ZbYRLQdX2sbDcH3sQxTNiOi+dbTRimg2wygtnxOJqKiSfrdXAsjWRMQDwSJLSv8t+BQLhoClUVxaoGjqNxbToZqnAeRy4ZQbGmwXWDRMZVVH0ez0qhol4ixh+o6qEZTs8EhfWiDM/zQNOX6/AdNUaXcDl0lAd9+JifCKZhzU0kwHPBfZVOCIcqUq9sNbtex0KlqZ/JXh4VcqkISvWrvc8QCP2yXZbDBg7bcfG/vr0F3XAwmY9i7BS+ej4dQa1lwPN8sCyNTJKcGaMITVPIp4O9MS7xyKUiiEZeXtWaUaelWmEDBwCs7LQurYkjmxBRrGpwXO/YMzgZEy40yL5RlFFt6ogILK5NpwY6PUDgGKTiAhqyCYDEHgjnx4utZqhibVouNgoqbi6c3/7dOS86U7iySRECz+L6TOrc3vMy0QwbL7aacD0f0/nYufoRXNuOqjUDNeTxtEQaOAiEEaQ7vsexNFzPx93FzJHxvUxCxE4laPqgKCDf3mtaqoW1nRZ8+JgbTwylkNZFkowJELhgCgFF4VT+K2F4yKUiFxKf4zkGDEPh2UYDFE3h/lK25+ebJTWoXwAAH3i+1TxzEwfD0MilIqg0Anspn44MpIGDQBg09VZgd3Isjag4PMXMb96ewEbxGb7+oECaOAiES2C7oqBc08FzDJZmkj35xql8DJrphEISySiPUjs+kIoLfdcGEAbLi61mTz3Yi60maeIgDC2nrSkaFkSexfWZJDaKQe3PwlRiJBs4rgIvtnfj4pbjYr3Qwr2XdBr6QFbR3/k7f6fnsSzL+PSnP41bt24hlUr1/IyiKPzbf/tvB/G2hAuEZWjcvZaFotkQeGZg48gKVRW1tnNZruuQRA63FzKQNQssQ59KKbubeFQAoISPE9HRKWCoNnW4no9MQgQ7Ap3OhPMlLnF7Hl/cvey4HmpNIyjouqAi4I2igpZiAQB2KiriEo9UXMC96zkYpovXlvPQzWDc9ss8TotAGCSaYYfj7E3bxepOC7fmM339riiwuH89B1V3EBFZCIcUn48y0/kYkjEBruuBY2mU6jqiItuzB/EsDZ5lQrViiWcvvYGDMHz4vo9nm40wGPd0o4E3bo1hbiKBdEKE5/lH2qxRiQsCrAAoCkcqWDcVE4blIh0/vClkVIgILO4t5aAZDiSRHfnPQyCchcDPDSjVNUQjPBTdwuqOi0SUP3HANC7xeGUpC8N0EY1wAy2CJlwsi1PJcCLTKMU/CPsRBRYMQ4X2wmUWY4gCi3vXs33Z+q7no9rUwdAUMgnxXIuXG7KJnUpQYGnZFjaKMq5NJwf6HjdmU2ipFok9EM6VeIRHCbtNW4nY+Uyo0QwbsmYjGuGwOJVELhWB71/98+L5VhN6W534xXYTiSh/rr7E9ZkUmikTNE1daPyWQCAMjtPE93gumNah6jZEgQl9smcbjVDN/9lmAx+5OXalCsE9z0etZcD3g6bA4z4bx9K4uxTkmkWeuVLqyYTzw3U9uK6H8UzQHNkRtehwmvxpJ2aaiguH+jfXppNhk8pVt5cIo0u9FYgOpM/Z/z4pb90Zx3/702f4xqMSXM8Hc4XOPgJh2FE0C5vtwuROvr97incmIeLeUg6m5SIucWHjontMbvIqYZgOmqqFiMAOzWeO77mOvY8JhGHhLDVFw8T3fmQWW2UFNAVM5kZ3Tl69FUxWSifEkczt7q1zeZn3voFER548edLzmKZpZDIZlEollEqlnp8Nk/NAOBksQw9cJcbZMzq3o+o3KNW++0s5WLaLesvEVD6KxanBJnPPi9WdFko1DQBQrGm4u5i9UoFdwsm5vZCFqtso1w3kUiJuL5xNRaZfXM/Hw5Ua9Hax6HhWwvzE+Y1F7tA9prj7scizYQKEFG8SCINl7zj7vWf0cXAsg1T8aq/LWISDZth4sFILRrhTwI2ZVDjlgmVpfP+bM3j/cQkMTeGNW2QqHWE/vo+wIBMIEt6eF4zH7SfJ+O79KXz9YRGm5eL2QubQgsJCVQ2DKFtlGveWsuDY0V6jPMeQ859AQKAG/9btCXzwrAyAQizCYa0gY34i3rO/nIRuO5sw2gxL4olwNkSexfe8PoPvPq+AoWm8dedy7cp+bH3f9/F4rQZFswEA9aR5rsr+h8UNBglFDS5GSSAcxht3JuD6PmTVxsJU/FwSh6pu48FKNZhYTQE359Ivzb3dE9vwg73ivH2Kl+VvSyBcVfbG916/OdbX73Fsbw7V93043u4e5Hk+PN8HjauT63u22QinllWbOm4tHF+8cx65ZsLVxvUCA0YSgwKfvXb/ZC6GN26PYXVbRjzK4c1bR6/ZYk3D2k4LALBVovHKUvZQ24D414Rhpy4HYqnpIdtXby9kEBVZtFQLT9frfZ0PBAJhMNh9xMsiAtsj3PwyCZcYloMPV6phHqW7afMyuTWfhmYE9WD5tIg7i9njf4lAuATOWlM0TEznR7d5AwimlHdErnaqKl65lgUzYiLxry+PwfV81FsmZsaiWJgcjbru82AgGfovfOELg3gZwhDiej6ebzbQUi3EJQ7XZ1IDXfD5dATVpgGnrWqdS0WwXVGwU1HBMjSuz6TONI2DZWm8/crkwK73ouiMXAcA3XBgWE4YnCK8vLx5e+LY5/i+j5XtFmotA5LI4sZs6tQFm4pu47vPK3ix1UQ2ISKdEFFrGhfSxDGekdBSLXiej4jADl3wiUC4isQlHnGJh6xZAAVM5qIXfg0bRRnFmgaBY3B9NjWwyV+DpCYb2CopUHU7HDOb7ppSlE9L+PTbC5d3gYShh6YpTOaioVOdSYp4vF6HZjjtCWwUSnX90HUQk3h8/xuzx75PZ9odEARQWqoVqrMTCITRwbJdPN1oQDcdZJMiFiYToCgKNxfSoGggGRdQqmvwPB8sQ0O6RLV+wmApVFVslRWwNI2lmeRLlUy7ynTH2RJRHkszqUMVKafzsUtLJDQVEyvbTXgeMDseRz59vA1hO17YwAH02iLnQSouICKw0E0HNE1hInvx/guBcBpqLQOr7cLBxclgGt8nXp0+8+uuF1qBH8EzuDGT6lE3r8uBSjoAwA+u4WVpNJjKx8JCzVRcIDF2AoFwIAf5XZ9+eyG03Va2W8fabnuhKAqT2d34z3hGAjtiBRVH4Xl+2MABAC3Vgu14I6n+STgZxZqGzZIMlqZxbSZ57pOneI5BPh1BuR5MLjvIR7q9kMXthd5iR9f18GyzAVmze9ZvvTtm6nqQNRIzJYwu9fY+nOnKUQ0DLEPjI7fG8eff2sLXHxZJEweBcIEkogKiEQ6qboPqI99/mhhgv2yXFexUVXBsUPs3DP54S7F6hLBqLWMomjhomu6rHoxAuGyGoaZoEPTEZ6cSSMeHy5bqh+78i2m50Exn5KYCj2pddze+7+P5VhMN2WzX6aZPFRch2X3CkRRrahiEayoWijUNUwNMIEsih/s3cjBMBxGBhWm74Wg31w3GLt29tr/DVNYstFQLsQh3JRNOUluZAAAYhiKKw4S+qbUMVBpBIFPRbGyWlFNPoAmcNR++D5QbOqIRDsnYxRz4yZiA+9eDvUHWbZTqOsbSkZHrGiUQRgmapnBzPg3NdMCx9KFjxM8LRbPCpKZuOlgrHD56UdFtNJXACL5oh8ow3MApRXCd3YVqBEK/zI7HkU0G926xpqFQVWFaLqpNHQxNIxHlj10HxyGJ3O79SWEom6IIBMLxbLYbBwGgXNeRiPJhcUFEYJGKCZBEFq7n485ihkw/PYZay4BhOkNfxGnabjhNyXVdvNhu4v71/CVfFWEQFKu7cbaGbKJYVXvibA3ZhGrYSEb5S23cebHVDFW1VnaaSMWFYwPPLEODY+nw987b9mAZGneuZaEbNpnWRRgZvHYxcKeh4vlWE2/EhTOf303FRKEaTHXWDQfrRRnLc7tTfPeeef2egR3fOypyI6uaPp6RkIzycD2fNLsSCIRD2et3JWMCMglxv+1WUzHV58Skcl0HQ1O4MZuCwDND7X+cBpqmIAoMDNMFAPAcDZYh/uhVxnE9bJUUPFqrIRkT4FI+Xmw18eqN8/dVF6eSGM9IoCiqbz+jWNPQVII4fvf6jQi7OXgSMyWMOp2mpGG01d+8HTRxfO3DAv73z9y+7MshEF4aGJrC7YUMNNMBz9IHxsuqTR2m5SKdEE8VA+wHzQhqlYDd2r9hmC4R2RMXIHYAgXAyLrumaBB4no+n63XUZRMUFfg5b90eH7n8akRgYVqBP07T1Eh+F1eBSsMIxfoVzcZ2WcH85MnF0c/lNHJdF7//+7+Pr371q2g0GkilUvjYxz6GH/qhHwLLkgNwlOjuQAU6I0sPxvN80DQV/v/efz8MlqHDxLTX3lx232//2KWWauHRWg1oX8ryXHooHdOzsDSTwmZJhuv6mMhFr5Q6D+FsHLeeHMeD7/uhcXHUmj32vdxAzXdmLIq6bCKTFHFtOnXq1zspPMfgxVYzDKbWWsaBTV3H/U0IhMtmlO5RmqYQO8MErLOwd7/aa4N0UHUbD1eqYdHLRY85jUkcxjISVN2GyDNIxfmefXdYGaX78CrT/T10kvfVhoHtctDAZFgOxjMRJKKBbXzYOuiH2fE4aCooBM6lIocWC5B7g0AYbry952P7se/7ofpkRy02Hr1afvGgKVTVsDFiuxKMFhYvIUlz1L7bHVfp5iznAWG42Gfzdj2uNnU832zC931s0xRuL2ZPZJsP8kzvuU4/2HO66TzutoE7CZztigqaojA9dv5TRBiaIlNqCCOF2xZL6eD5wePOUjpobfXDcedGJhGoyjcUEzGJw3hGOvR1OvvIXt97aSY5sirVl3HeEwiE0WJvLrKzjx4Ur+zHnl8vtMLmOoahcG8pdw5Xffksz6WxVVLgI5iOMOzxUcLp8X0fD1draMomynUdmuFgOh/bZ4OcZ5yxE9vsNxZ/WL5hOh8DTVMwLAe55OExUwJhFOhM4hhG9eiP3hkHQ1NY3Wlhq6xc2qRRAuFl5KB8v+N4YFka2xUlFFbeqaqwHQ90GJTYHwM8KZ3fPyoGepnEJR5LM0lUmwYiAkv2JgLhFNA0BUlgR7a+wPd9rBflsAFC1W28eWsco+bOXptOYrOkwLRcTOWjIy1yNcr1KvviSac87wYeva7Vavipn/opPHjwACzLIpVKodFo4Ld+67fwH/7Df8Cv//qvI5Mh4/JGhfGMhFrLgGm5EDgGYwckeBTNwpONBnTDgWbYSMYEJGM8bsymsVZooVzXwbE0lufSiB6TfI5FOGQSImotAxQFzI7F9z2nqZhhA0fn8VVr4uBY+tTTEwhXE8f18GS9DkWzEY1wuDmf3tfcU6iqWNtpYbOkIBUXkI6LmDrD6LKZ8RhebDURETjMjMWxNJM646c4GZ7n76rhIDCcHNcLP7fn+Xi6UUdTsRARWNycT4+0UUK4ejiuh8drdai6jZjEYXlu/7ol7JKI8kjFBTRkEzRNYeaQoq+WavUUvTQU80KbOHKpCCazUeimA910UKzpqLVMzE8kDrSThoGtsoKtsgKGpnB9JnUlp5gNO57n49lmAw3ZhMAzuDmfhsgHrpjA02BoCopuQ9YssAwFnmORTUYOXQf9wNAU5iaO7vJ/sdVEpaGD5wJbnSQtCYThYzIXRUu14LgeohEO2WQE22UFm+19fWk6hdnx/X4zYT8NxQz/2/N8yJp9oUWdhuXgyXodhukiFRdwfSYVBiUN08Hj9XpbAS34WT4dQbmuAxTId3yFGM9IqDUNmHYQZ+supK40dKzttGDaLiSRxWQ22lcTh2bYeLJeh2V7yCbFgfjuc+NxrBZagA+MZ6UeX7vS0LGy3QQAzE8mMJbe/QySyOH6BccOCIRRwLRdPF6rwTBd2I4LhqFBU4Hf2zkL6i0Dz7eCRq7Z8Tgmsv3H9JIxAYkYj5ZigaYPbqIay0iH+qwHnVFN1ez1vWVzZJs4CAQC4TimcjHIqh36XZn29NRu242iKZTqGnYq6j57vjtXIQpMqGbcUi0UaxpkzcKdhezQxg5Pi8izF543IlwOluNBNxzwHINElEdLs3p8Vd/38XyriVrTgMAxWJ5Pn4uy9Uni3GPdvhfPIBnj8cGz8oE+OYEwqtTlQPU3kxi+nE9M4vHqjTzef1zClz/Yxv/2qeXLviQC4aXEsBx84b0N1JoGUnEBs+O78QLX9ZGOC2iq1oExwJPSHTOcm4gjnRBQbwVK9zND1CyRTUZIfINAOANrOy0UaxrYdi3wZYnEnhYfQX1yp4ljVOsjdNNBrWnA8TxIIov4CIpdmbaLJ2t16KYT1pqPmo+WS0VQbujQDQcsS2Mie7q4z8C951/6pV/CysoK/tW/+lf4zGc+A4Zh4Loufu/3fg+f//zn8Uu/9Ev41V/91UG/LeGc4DkG95ZysGwXPMccuFDWCjIcx0O1qaOlWuC5oEB1daeFSkMHEIxx//qDIm7MpTCRkcAcUcR6fTYFw3Lg+4GRp+g2JrLRcGTb3s0/Jo3mZkognIRSTYOiBeO8Vd1GoapipqvJyXE9rBdlUO0EsOf7ePVG7si1dhCaYaPS0MGxQTHJa8sCXM8LC00vEpqmEBFZ6IYDABAFpqcAvtLUw1HIuulgq6z0ND95no9iTYPtuMinJTIKkXDhFKoqVD1Yt4pmo1TTMDVEAYqz0FRMNBQTksAhnz5bkMP3fZTqOgzLwVQ+hrnxOFiWPrThZW9D6EU7hSxD4+61LCzbxQfPKgAA3wdWCy1kk+KJ993zxrAcbIXjan2sbrfw6vL5j7gn9FKXDTTaqlim5WKrpIRJ7lxKwuJUUDQlpiKYba+Bu9eyR55dhuWgVNPAMjTGs1EwJ3RoG7IZ2uqW7WGjKOPm/Gg329uOi0JVA0UBE1kyzY5wNYhGOLx6Iwfb8SDwDCzH6xpD7uPFdgMT2Sgcx8NYWjpxU0KprkE3HaTjYjgF6KoSi3Botf0HigKikYv1D7ZKCgwzCAo3ZBO1lhE2om6WlTBgXG8FP1ucSmIyFwVD0wMZYU8YDniOwb3rB8fZVN2BaQf3gWY40C2nr9fcKMqw7KBQsNo0kE2eXexkLCMhnRDg+egZw+37Pla2m2Fh99pOC7lk5MIC64Py8+uygZZqIS7xyCSGT7GUcPXoPgM4lsHMWAy5VKSnOOLFdjNUs14vysgmI33v/zRN4eZcGqblHulP93N9nTMqKu6NwY++naAZNsoNPWyiO0zF2/N8FGrqqe0rAoEweuz1uzr7Q7fttlVRUG0ExbIN2USlqYfNrN25CsN0YdkuOJZGsRZM4+AYJogdpiJ9x29kzUKtFSgEdzfNXmVM20WppoGmKUycItZFOD84hgbP0bBsDxPZKOYm4rh7LRfaKg3ZRK0ZrA/TdrFRlLE8lx7oNZwkzt2QTTRVE1NjUcQjPHiOwcp281Cf/Cgs20Wxc18eU+NAIFw09Vaw7oZxEgcAvHN/kjRxEAiXzMOVWnhGN+SgoYJjGFiOi2SUx9xEDixD7YsBHka1GdTwJaNCT/zR83pjhusFGW/cGoc17oJlTh6nIBAIw4miWaGf6zge1gst3FnMXvJVnQyWoZFJiijXg8+RT4kj1zgABHXZjhvkhXYqKrJJceQaUrbLCnQzyIM1FasnzjIqsAyNu4tB/RjHMaeOYww8+vzFL34R/+Af/AP8yI/8SPhvDMPgR3/0R1GtVvFrv/Zrg35LwjlD09SJEhU+gqSubbvhqLSNkgyGoSCVWMiqhVsLBxeI2Y4LhqYh8iy+87wSFm83FROvtMcNpxMilmaSaKkWYhH+0jpkXS8Ym9wJUPm+H04JICODCWdl7/20d9jS3imGvo9wQg1FUeAYel8g0XZcUKDgwwfH7nfAbMfFw9VaOFLYsBwsTiXB4WCHynE9UMC5BixvzaexXVEBP1Ah7uGYCVTdjWSVhoF713Ok+Ilwoexbp5dzGQNH0W08Xq+HH8j1vBMphO5lq6xgu6wCAMp1Ha9cyx4ZyElEedyYTQVNJCLXo1583nSf/WJ7RGQ4Mt7f/Y4HsT/utTNOTed7cr32eXJV7sTR4qj9YDIXhQ8fxZqKiMCBZSnwLLNvHdiOB5qmwNAUXNfDw5VaqOyoGjZuzJ4sMbr3Xhj1O8P3fTxcrYXJ2JZqjVzQiEA4DKbLtu8eZ+55PjaLKhwn+LdK08D967m+EyKFqor1ggwgaBq/s5g9dnpmNx3/fVSCm9P5GBiahmE5yCQuPph5pE93kH8HDKyZ3nE9OI4LnhvdEddXicPibJmkiLG0BMN2EBU5xCW+x670PB+u5+3z5ztxONfzwTL0mey97nV9UNzgsn2czsRf4PR+fkM28XS9AQAoVjUszSSJ+h7h3PH3LB6WpXsaODwviAP6XmCnMzSNzgo7aO0fFIemqJPF8Huub9/1BtM9Or53VORGXj3etF08WKmFPrxpu5g/ZHLh3pji/Rv921cEAmF0YQ7IqQC7thuFYL/t2F09e/uejXQiF4XIMyg3dMSj/K694vsA9tvjruvBB8K9pqWaeLRaD3/uuB6mcoeLAx1mJ44Srufj0UotbGpWdXvgTQCE00PTFG4tZFCoaqApYDIX67HDu+PinaKVw/Lmp75f96wz23Xhev6+IpmmYuLJ+u76uTadRE5gj82zHoTnBfHGjujCUTUOBMJlUG8LR6WHcBIHALz9yiT+3//123i22UShqp4pl0ggEE6GZljg2f3nH0UBru/B84MIIgWApij0U+JWaeh4sRVM2ihWNdycT/dMxToo3H0ZYrH9MGq5DQJhWDiNTT2MbJUUNNRAiGGzrOCN25d8QafBByzLheu6iET4kfwu9l3zCH4G4OS19Qcx8NPS933cuHHjwJ8tLy/vS1gQRp/Z8TiebtSRSYjgOAYix6LS1OEh6P6XBBau54fjYmTN2vcarufjyVodsmaBY2ncmE2FDRxAoEDYHYi57PFmDdnEs80GPM9HPh0oJj9crUE3HAg8g9sLmTONmSO83Fi2GwYFIyKL2wsZjKUl1FoGdMNBRGD3jV/iWBoz4zFsFhVQFLAwuZuE9DwfTzbqKNc0FGoaJjIScikJN+d7x1BphhM2cAAHr9UOG0UZOxUVFBUEQM9rPXIsc2hCNZuKoNLUoWg2BI7Z1+Qhq7vX77geDMsBx46+aiBhdJjISmjIJnTTQUS8Ooppimb1GM+KZgNnqJOWVTv8b8/zoRr2sQZuOiEifcGKudVmEJjy/eC7nZtIYH4igdWd4N9mx+NgGRrbFQWbRQWggIWJxKkKXfbaGd1Thk6KKLDwEYyzp2kKH39l8tSvRTg9mYSISlNHSwls3emuqTy66aBY1dBSLXztQQFxiccbt8Z7EqEr202U6zpomsKN2RQ4lg4bOABA1myclFRMCEcZswyN2a4JX6OI43phAwcQ7E2+75PmasKVQ+RZTOaieLJeR7GmwbQcMAyNfCoCx/FgWC5ikf6KDFtd9rLvB42a/TRx+L6PZ5sN1FsmGIbC8lx6JMb0UhS1vzH8ApnOx6BoFizbQyLKI5vctWWm8lHImgXb8ZCIDXYywGZJxjceliDrFiZzUbx1e+LKT10ZVSZzUTQVE6blIhrhYJgO3n9UAkUFPyvXddiOh7jE9/jzmbiID55UYDkuJnISkqf4fl3Px+O1GhTNBsfSuL2QOdAmp2kqsIELLQDA3Hj8QpOdrT1+vm6e3M/fG+tQNJs0cRDOnel8DHL7DIhLPHJd95xm2Hi0Vsd2WcV6oYVMQsTda1lwLANFt/FkrQ7H9ZCKB00Vjuvh0WowZl4Ugjj0WYt2DzujLsP3Pi80w94VYUBv3HAve2OKuumMhK1DIBDOl6lcFNWmjpXtFliGRjTCIZMIpiZlUxFUmwZkzQLP0ZjJxyAKLHiOwerOrt10UJNIua5jZacZClmpho2NgoxKU8dMPgaBD8TxkDv4utS24I7T9iWWZ9MjWYxm227YwAH02n2E4UDk2Z7cYzfJKI+maqJY1cBzDOYn4/jwRRWa4UDgGNxazEDgGOimg0ertdCvWZ5P961UKgpBPGSnoqJU1yAJLL75uIQbs6meAlJF742TypqFXCpypE9+GLbrhQ0cndciEIYFz/PD6d/DOokjGRPwylIOHzyr4Msf7OCvf//1y74kAuHK43kevvDeJgpVFSxL42N3JxGP8pDbE2kns1HYzq5vvFGS0ZBN+H4Qo545Ile4L6am2+EZTNMUFi4xZtgvnufjcVdt4s359Mgp1xMIl0lc4pFLRVBp6GAYCnMTo1dfYFgOijUtrEsuVDQ4jgd2xEShNd3C//OVFbiuj+W5ND56d+KyL+nETOWikFULpu0iJnHI9jEp8aoy8CaOd955B1/+8pfxzjvv7PvZl770JXz0ox8d9FsSLplElMfry2Pw/KDJYqushMZYLhlBOiEgFRdh2S4c14PluFjZbmIiG0WknRCutYObQKAyXKhpkEQWWnvDjEa4oRqbu1GU4bWVdh6v1bG200JTNQEfEAUOqbhwaOE5gXAcO1UVxaoG3XIQFVlkkyKmcjHcWwrGeR+mMjmVi2E8LQEU1bNe6rKB7bKKle0GLMsD5ftoKBY008Hda5mw+10SObAMHY7bSkQPVu0wbRc7lUA13/eBtR35UgoeGJrCncVsqOyzt0gzEeNDhU6WpcP9hkC4KDiWwb3rR6/bUSQu8aCo3a7o+BmLABMxPrQBaJo6kQJ4v+img0JVBU1TmNqjEnYcDdlsJ2ib7c9OoVDVMJaWkE9HkEmKgO+DYWi4rhc0cACAHygF59ORvovIm4qJSkPHWkGGJLKgKQrlejAy8LR/F8N0QIHC0kwSFEUF9grhwqFpCrfmMweeWdtlBbbjYbMsw7RdMIaDtUILmmFBEnkouo31ooymbIJhaHAMhVeWcuA5GpbdPrNPUVBEURRuzKYPPUdHDZYJzvrOyM3OeiUQriKz43EUayo4lsazjQZWtpuIRlgkowJEvv8izkSUD5O9FAXEpf7OmpZqYaukoKVacD0PtaaBWwsZTOVjQ+W3DxsRgcWrN/LhtIRuJJHDa8sH/+ws2I6HZxuN0NYqVDRsFGXcvUYmFQ0jAsdgLB1BS7URj3J4tFLDWqEFhqGxUZIxkw8SIrJmodo0kE8HfnhNNjA/GW/H5Wg0VevEBRzVRiCQAAT3zVZZwdJM6sDnjmWkMJh+0Ws+EeVRttp+PnM6Pz8R5cOYBnB2f4ZA6AfxiDPgg6dlPNlooFTVkIgLSMUEbJYUpOMCNMsN43QN2URDMaHqdmjzGqaLQlXD7PjZEqZHnVFXhajIgWGoUMDmqIZGElMkEAgHIQqBSE8QR6FhWi7KdS30g24v7o/7jKWlIHfSjh124zgevvW0hO8+r2I8Ezzv8VoNUZGDKLDwPB+VpoHpfOzQXA0AbJVkFKsqLNuFogvIpy5XBO+08BwDgWfCgnnSeD5aNFUrbG4SeQbPNpvg202mpu2iUFExP5nAVjsOCnT8Gv1E4lez43Ekojw83wdNBVOy14sy7rULSOstA9WGjnrLQCougKKo8F7q196xHRfbZRWe72M8I0EUmFA4hvgOhGFC1iy47Sbl7kamYeOd+1NBE8d3tkkTB4FwAWwUFRSqQdzLcTw8Xqvhx75nCZrhQBJZbJUVbJWCXDZNU9guKVgrynA9D7JmYSwtHSpYnIju+sqgsE/s4DJjht3YjoftsgLP9zGZjfYI1dRavbWJ22UV12dTl3SlBMJocm06ibmJOGiKGspmrePgWAaaaYdTeEWOAcOM3ud4/0k5FPSqNnWs7TQxP3l6cdjLQOAZjGUikDUbuVTkpc4xDzz6/DM/8zP42Z/9Wbiuix/90R9FLpdDpVLB7/7u7+IP//AP8Wu/9mtoNBrh81Op1KAvgXAJ0DQFuj0CeK/yF88xWJhMoFjTsLrdgsixKNd11GUTr97Ig6Ep0HtiJTQVjGUt1jQAwHgfKtaG6YCmqYuZgNHeM2otA+WGDhrAVkVBPiWB52yMZyOkiYNwauotA6V6cO/LqoW58Tj0uAOWocCxDGzHheP6ByYQD1JyMi0X2xUFqu5ANx0oho3JbBQRgcGj1RruX8+DpilwLI07ixmUGzo4lj503e09Mi+7PvKwYOv8RAIRgYXteMinIlc2CU0Yfq5SAwcQNFbeWsigIZuQRPbMScHpfNBUYVouMglx4GNV3fbIc6edHNJ0B7cXjx95bjsuWqqFZxsNWLaLcl2H5XihYirVdiACR6K9EVJU8J9+52H/hfGG6eDJeh2+HzhZmrE7veVM+2z7d5m2sUWK2i+Xg86iTnCjVNehGw5s28PzTQ+m5UESAdd1sVlUwomGLEPh1WUatxezKNU0sMzhZ/Zpr2kUoUL/QQVNUWf6mxAIw4xuBn4BTVPYLqtBYNEHLNvD7cXMidb0RDYKlqGhmw7ScaFvxSnTcrFZVuA6Hkp1HemEgGRMgGW7hxZ9EwIoigJ7SDD4qJ+d/v12bZbOY5rYAkNLsaZho90QXKgo+NqDAjw/MOdYhg6bOAD0xNHots3JtL/b03zHe23E45IvlxVMX5hMgGNpGKaLmbGTNWd3SMYE3JxPo6VaiEnc0CqWEq4eB+3zpbqGR2vBdK16y4Bq2HBdD/Eoj62KBlkzkY6J4ZqkD/Ax+0mWep4Pw3LAc8yhtsJ5nEPDBM8FU0uqTQMCx4SNcAfRE1NMk5gigUDYhaapMMYGBMXphuWE8cyD9oue2GEXf/HhDp5vNrFTDaYKvHlrPNjTqaC5d3YsDoahsDiVPHLPKtV1VJsGAEDWbdyaT5/xU14ONE3hdjsvzDAUxjOXN0WRcHIM08FWWQH8YDqM6/m9zRntJbDXVzmN78KxNGiKgmW7oGkqXF2yZuHpRgNAUAzEsjSuTSV7por1Y+88WW9AbU/zaCombi9ksFlSwDD0mRtnCYRBUm8LsySi/FDnIT9+bxL/x3/7AI/X6qg0dOReYoVlAuEi2Buz6xy1khjYq3vz8v/n7z9EQwn2k0bLwtv3Jg+tucsmA+FCVbeRiPIHNt1eVMzQ9XyYlgOBZ/e955P1eniWN9p1iaHdsOfySKicQDgdoxwr8z0PFHbFsX34x/zGcMLQFHwAvgcwTH8x4mGjUNWwutOC43iotQzcWcy+tIIOA2/i+Gt/7a8BAP7jf/yP+E//6T+F/94pOvrrf/2v9zz/4cOHg74EwiWTT0XQkA00VQtRkcNULgqOZTAzFkehqoVjyx3Hg2W7iAgsMgkR9YSJmmwgwrOYHouBZWhM52N9veeLrWbQIUcFCd2TqHachsXJBJ5uNCCrVhiM0gwHpuUiERUQj7ycGwphMEQjfKA4ZLuQBBbFuo6GYoGigHRCRL1lwPeBVFzAjdnUsQW5LEMjLvFw3WB6jON6iEkc4hIPy/bguB54OnDERIE9NgjJcwzmJuLYKMqgaQrXpoezk5OmKUxkSaCfQDgP4hK/T13jLJznuW3bbtjAAQCqYR/x7IBay8DzzQaqLQMrW03EIhxs1wOrUcinIpgZi0M4IIDF0BQWJhNYL8gAcKL9UTOdcLrJWFpCXTZAUUGB7VnGuIo8i5nxGLZKChiaPnTkPeHymM7HoOg2eJaB7FqwbRcsS+M7z6u4fz0HmqaRjguoywYYmg5VtQSOIYnDPXAsfeSoZwJh1Hm6UUe9ZYKiggStYbkoN3TEJQ6yau0TVOiH0yROOZZGMiqgVNNA04GyNdDfGUu4WFiGxu35DFTdRkM2MTsex/wk2SeHlU5yEWgnIm0XquGApoLJmxGBhW45yMRFZLoKkWbH49BNB6btIp+KnEqBM5sUUZcNNBQTEYHtOx530dRlEzsVFb4PeL7fV0zkIJIxYaiVSgkvD5rhICKyYBkKMYmDj6BJK5MQsVWSYTseNN3BeFbCdD6GZExALMKhpViQdQvxCH9s87Lr+Xi0WoOq26BpCjfn0wP150cJSeT68q9JTJFAIBzGZC4KWbOg6DYM00GxqqFc1zE9Fjux/bRTVlGsaXAcD5rtQjNsvHVnAopuo9oykEoIWJ5N9ygHH0QixofTWuPScBfyHgdPYl0jC8fSSEg8WqoFjg3y+5LIdtUKBOtjeiwG1bBDMYls8uQN1RGBhWm7WCu0wDI03r0/CaDXn5JEDoko39PA0S/dsQ3L9rBRlFFrBcWtIs8QG4EwNNRaQQNfOj7cvm0mIeL2QgYPVmr48ne28f/65NJlXxKBcKWZGY9jYSqB1Z0WJJ7Fm7fH9z2nOy/faY704SMiMj059YPIJHrjkpeBabt4uFKFZXvguUD0rjtvr3Wd5XZ7Goms2WE9YSYh9tQmEgiElwvH8xGNcMgkI6AQ1Gi6rg+WHa0miDdvj+O//elz2I6L24uZkayRqDZ1rG634Ho+eI7BzFiMNHEMis997nNE4fclwbAcbJYCVeAgGBMkQIJkUAa+7++7F1JxAbW2IkxEYENDiqIoXJ9NHfg7HTzPx1ZZgW46yCTEsNjEMJ1wxBF8YLOknHsTR0zi8frNMVi2C8vxYNoOohEOsxMxjKWjyJwi6EQgdMilRMxPJOD7QdFGp/HJ94HvPqtgqp0MaMgmFN0+NvGaiPGYzscwlo6g1jKhGzZiEQ4URSEa4U4V1J/IRs8cqKzLBsp1PQjMj8UOnCJCIBAIZ4XnmKDgzXQABLbIcWyVFPh+0IVfaehQdRsRgcXthQzeujNx5O+OpaVD7RDP87FZkmG01U26C2djEQ4sQ8NxPUQEFjdmJzCZiw7Erp7KxTCZHcxrEQYPzzG4t5TD9Zkk4hKHlmpD5BnQlI+1QguSwMLzfUzno5BEHuPZk9m5mmFju6wCFDCTjx2b/CcQCMOJotuot4sGfD+YyDGejYQKkgxNodY0ehRabcfFRlGB43qYzEUHVrAZkziMZyQ4blt1Vgj8+hQpiB5KxjISfvidxSPjLYThIBnj8XitBsNywTEUYhE+VHWOR3ncu5478HuMCCxevZE/03dM0xSW59JDf5907HSg/5jIZeO6HjZKCizbRT4dIZM/CAACpeidigrdcNqNGFEAPmbG45AEDtWmDtvxkIoLGEtLyKcjWJwKRAIYhsbtxYNj7wfRkI2wqNHzfOxUVMTnhnvdjAoktkkgXDyaYWOrrICiKMyMxQY+0fc4WIbGncUsHNfD+49K4b9vlRRMZqN9KV/6frAX12UTumlD5FlIIoeP3JrAeDaKcQDXTmCTjaUlGKYL3/fBsjTiL2nBA+FyiUd5xKN8IBrHMRjLBA2oe+0VoR0HPYvfoeo2BI7BjZmgobsum5gdD8QuZM1CS7UgcAwWpk4nZpSKCWi0JxzwHI1q0wivdbOkkCYOwtDQkNtNHJdcTN0P79yfCpo4PtghTRwEwgXwiVen8c69SdD0fh/VbeeqTctFLhXEGjqTN+JRPhRsGmZKNQ2WHTSbWLaHUk3raQROxYUwl0LTQEu1grPcD+z212+OnUsM9LCaRgKBMFyIPIvxrATTcgEEYg3sKIohUMBbd8ZhOy6yyQhU3UZsyHMlezEtF267JtZ2XNjHNBJeZQYe3fp7f+/vDfolCUPKk/U6DDPY0GTNxms38j0ByoMMnqXpJBJRHp7nI5eK7AtoHmUkbZUV7FRUAEEnVpD8lMLxwp3pRhc1nk03g8aNqVwUluNhbjyOmfE4pvPxY7vCbMeFbrqQRHakR0wRzod0XMTSTBLVpoFklMdaW9EdAJg9hkPnfjcsB7bjISpy+9aVyLO4ey2LhytVRHgGuaSIpmohkxSxOJm4lAIN3XTwbKMRFl+4roelmRQ8z4dq2OAYmhSZEgiEgUDTFG4vZlBp6KBpCrnk4QGTzh7keoFz4PnBGEWBYyBwDJqKiUJVxVg6cmDg6zg2SzIKVQ1AUHQm8ExYdMZzDO5cy6DeCv590Comw1yMRwh47eYYPnxeRbGqYjwbhY9g2txEVkImLkI1bcxNxA9NFBqmA9vttQV838fjtXro8Kq6jVdv5C/qIxEIhAHC7rHxOZbBTD4Gy3IhCixSMSFs6OjwnWeVoLiBZ9FSLbx6Iz8QVVaOZSDwDCICh6XZJGiKxvxkvF2AOjoctG9eZYgtMPxYthf4wVRQ3HTnWmDDcgyNm/NpAEd/j4P4jg97Dcf1gokBAnOqqT/H0W8sgNmzz11UDPAsrO60UG0L2jQVE/eWciTe8ZITqEDWQ9GW8YyEa9MJsCyN6XwchukAlB8oWkeDBsmD4sf9rvnOGed6XnuK9Ggl8/rBtF1YtgtJ5C40N/B0oxHmJDzPH9ppxQTCVcHzfDxaq4fqwJph4/71y4lxMDQFmqbCvZymKRy2Lau6DR+BgAsAFGsaNksK8qkIVMOCJHBYnkshEd0tmDuJXTeRjYIC0NIsTOUuvrGFQAAAxw1sF0nkwLN0uE4Pu5cP+veGbASCFRnpyNh7x7bpvAbTfq7teOBZGqLAQOBYWLa773ct24VhuYiK7KHNl9dnUqg0dHi+j3RcwAfPKmEucxT8D8LLQ2dCzLBP4gCAj9+bxK//39/Fg5Uq6i1jJBpPCIRR57CzdKMoY6ukwHZd1FoGPnJzDBM5CY7j4cZceiQKmRmGgut6MG0XAsfsO5+XplPYYGU4roeJXBQfvqiGvnsnvnIesfLumsaGbILnmCsZgyEQRh3f9zGdjUHRbNAAJke0SbtU09FSLQDAVlnF6zf9S76ik5NNRZBNimgqJsbT0tALdp0nJJJDOBW+74cNHADgOB5czwNNH53IpSjq1FMyOgralu1ioyRD0WxkkxpuLaSxMJnAZkkBQ1NYuoBkSamuYXWnBcfxYNkecmkRuZSEhcnjVT0U3caj1Ro8zwfPBao9PDf4BDhhdNEMG6s7LbiuD1W3MZ6VUG0Y4FgaH39lAjsVDbYTqOlKYqDO93yrCfhANMLh1kJmn6MSEVjEJB6OGxzaqZiAhMRfmkKcYTlh0DN4HEwcebJeD4yM9ijD856qQyAQXg5Yhj5WIcv1fDxarUHVbZi2A5qmEREYzLeb3apNAw9e1FBpGJjIRvGDH5078XUYVm/iSDedHkdE5FlM5oh5/rISl3hEeBaphAiWoVCq69A0G6uWg7nxBJJR4dBgX7ctEJM43JrPgKYpuJ7fo1hgts/bl6FYmUC4aogCi7mJOLbLKjg2OKN2KiZs1wNlu5jIRnsSoM82G3i8Xofr+sgmgyCYZbsDaeIAggKq7obDWGS0Amvluo6VnWDfjEs8bs6nyd5IuHR000FU5ELFO9MywDI0KIq6VAUl03bx4EUVtuOBYSjcXsiE03gHgecFTaeydnwsYGEygedbTdj2bkxk2OnEM4FgkpLRbr4jvLzYzu7UXSAoRLy1kAUQNHEHRYMIGhIYCrG2iNBpScdFpBMCvvW4DIoOYoSaYY/E+umHhmzi6UYdvh98tjuLmQuJdxqWExaBAL1rnUAgnA+u54WF4UBwpl7WFDGKorA0k8TqdgsAsDB1sFjWRlEOC7k6U5U6+4UoMME+QgGgKEROuS83FRPrRTmwM0wXtxczRDyOcOEYpgOeZZBJBPlu3TrZufhwtYpvPCoBPpBLRfCXPzZ3aPGpJHKYHY9jpxLERxbbEzd004HAsxDajUzddQxAoML9ZD1opBV4BncWswfGSGiawlhm1x+5Np3EWkEGQ1FYJA2bhCGi2tQBYOCCYOfBWFrCzbk0Hq/X8ZXv7uCH31m87EsiEF5aSjU1jIvzPINrUwncbsckRoVkTEClqUPWbMQkDvf2iNftVFUUa4Goog9gYSKBzbICljnfs3xvXMAwHdLEQSAMIa7no1DXAB/wABSq6kjWT2QSAlqqBdf1kEmKI3f9QCBg+GyjAcNyIWs2PvrK+GVf0qUxkIzR7/zO75zo+X/1r/7VQbwt4RKhKAqZpIhaW0kuEeX7UuIzTAfrRRmu62MqH0Uy1r8yQDYpoiGbaKoW0E5kOa6HckPH/MTFFnvvVFTAD4pCM0kRt+YzfSfUy3UtTNRZtodKU8dULnael0sYMUp1Ha7bGRflgWVofOTWWPjzXEpCUzGxVVYgaxZU3Q6ThqpuQ1YtpA5Q3eisISDoTk/ELs9hiEs8eI4OxxxmkyJUww67ROGjrXZPmjgIBEKAYTlYLwSqGVO52IH73FloqWawnwIQOBbRCIfrs+P48HkVjuthp7KFuBQkUwtV9VRqQd37MMvQJ7KDCFcfWbXC4GGhpiKXiKDGGWjIJgpVBQLPYqMoYHEqsa8BuGObAoCi2ZA1C8mYAJahkYjxaCnB+ZpOCCPpwBMILwuaYWO9KAM+MDMeD5VaO0xko2FT4jceFcGxNObGg2KF8a4CA9N2UWsaiEs8GrKJesvAzHgMkQEWDWeTYjhdKiKyA33ti6BQ3d03Zc2CotskoUK4dDIJEZWmDvjB5IuYxCGbDOzN0Fe+BCoNPWwKdV0fpbqOhcnBFX+rRmC7ADg2FiCJHO4t5Qb23ifB9XysF1rQDAeZhIjJPovqs8kINCOYsCpwDGLS1SicJ5wekWcREVnoRpDcz7TXue24qDSCQiyaosCwFN64NZjElSRymO8SH+qs42pTR7GmgWcDAYNBNXteJIWaGgrF6KaDhmIie8QEzkFxUGyTQCCcLxwbKNl27KJMQoTr+VjbacKwXOTTkQvNJ6TjItI3D1/7vu9jp6qGj8t1HbPjcWQSIsoNHaruYCwTxdx4rD090UQ6fvK9pFDt3QebF7QPEgjdJKI82K4JHCctKn+4Wg999EpDR6muHynKNJmL7rPHUzEBW4wS5FepXRurQ7Gmhvl503JRrmvQDAeW42I8Ix26bgJhDLKmCMNHZ+LjqNyf79yfwuP1Or707W3SxEEgXCKu5+9OlHR9dGlMjAy1poHxTBTjmc5jvSeX0mmi7jx3djze06B5XlxmPVahqqLaNCCJLOYmEmR6GIFwBBQAx94ViLBd7/AnDzFT+RiCTxOIRIyiYM+TjTooigp8SdfDi20Z95ZezhqqgWTZf+7nfq7v51IU1XcTxy/+4i/iC1/4Ara2tvC7v/u7WF5ePvB5v/Vbv4V//+//PTzPw8c//nF8/vOfB8sGH+2LX/wifvmXfxmu6+LWrVv4l//yXyIaHc0xOMPG0nQyHM/Yb2Dx6WYjTFA93bDx2nK+b0WYbDICnmMQLchoyGaYVLqM5BLH0jA7atrUwSPtD2Pvc/k+ml/OiuN6kFULAj+am/bLxt57mttzz9iOh6cbjTDYWGsZPQHRw9ZENhmBwDHQTAfJmABhABNgbMeFotmICOyJlCRZhsbda1nUZRMCxyAZE2CYTmBftB1FjiETaggEwi7PN5thk8WzzQZevZHrq4G0X/a+FsfSEDgGd5eyaComVrabYfEaRQECf3L7o2PL6Hv2Yc2wYVouEtHLm5BEuHw4drcAiGfpQPUtLYFjaGiGE46SfLHdxK35zL7fPeixZtjIpyJIx4OGjlFQ5SIQXmYer9XDs+bJWh2v38wfqirLsTRcN/BJKQo95wdDU6CoQOVOElmwNI0bM0k0FfPEdvthzE0kEI/ycBwfmRFsEONYGrrZfkBdTlyBQNhLKi7g7mIWqhH42I9Wa2FB3mXeo3tjEoO+FpahBxYLkDULjushGR38vrRdVlCuBwX2qm5DFJi+4qHBxBAWpu0iHReJMjYBNE3hzkIGtZYJlqFCcQCaokDTVBjvG+RaO2gda4YdTvMDbPjwcWM2PbD3HASu66GlWkFOIHJwTHvvZ7uoNXZQbJNAIJw/y3Np1OWgaDWTELGy3QqLWFU9mDK0txn+sqAoCiyzW9RO0xRoikIyJuCVa1n4vg/L9sL44GnjnHt/bxhtjaZiwveBZIy/lMkphPOH5xi8ci2LRjvuED/hJEGRZ6C1Y/+ggsfd+L6PpmKBpqlDBRhEgcXda1m0VAuSwO4TX9y7Vnaqaiiop+hNRASW5NAJI0Wt1WniGI2Y/zv3J/Ef//uH+O7zCpqKSexnAuGSyKclmJYL2/EQFbmRPPv250T35PgZGqYX5E5omjrXhgbLdqHqQSz3POqx+qGpmFgvBAIyqm6DpinMTySO+S0C4eWFoijMjMfQVCxQVNAMPmo5TgCYGYuDQjAFcXZ8NJu3NMOBagR+oGW7sB33mN+4ugykieNP/uRPBvEy+/j0pz+Nn/qpn8JP/uRPHvqcjY0N/Ot//a/xO7/zO8hms/i7f/fv4r/+1/+Kn/iJn4Cqqvj5n/95/OZv/iaWlpbwC7/wC/h3/+7f4R/9o390Ltf7skFR1Ik7+y17d7F5ng+nPWWgX+ISjzuLGazutNBSLcQlHhOZi2/KuTaVxMp2C7brYjIbO1ERzFQ+BrNtyKXiwrk71o7r4cFKNRgbSwXXnkuNhiLDy8pENgrDdKDoNpIxAfl07/dlO26Y0AUCVe1EjIdpBWoxhyU1ASAm8X1PjTkOw3Lw4EUNjuuBooCb85kTqddyLNOjjCUKLBYmEyhUVXAME45AJhAIBCBQFe/geT5sxxtoE0cswmFuIo5iTYPAM1hoq5QKXLBXfeqtWXz1uwXYrodXlrKQxNPtpXGJ70liles6VrabAIIO+buLWdLI8ZJyfTaNtZ0WPM/HW3cnUW8ZUHUbs+NxyJoVJrnDRuIuFqaSWNlqtpXjopDEQFW3U5Ql8AzuXsuSRDmBMMR0zrYOjuvB9XywzMHr9vpMCivbwZ4xPRbrSVywDI3rMylslhREIxwm81E8WK3DcQK7fXkuPZBE6WlUYoeFhakEVrYCn34iGx25SSKEq0s0woU+/dJMClslBTRNXap/nE9HoLVVnWMR7khF3NMQGVAsYLMkY7scKO3FJR63FtIDtX322mAH2WSHQYpTCHthGHpfvI9pn98bRTlIuE8Obt0ftI7l9rTrDie5py8C1/XwYKUG3QwEoRamDp7EPTeRgOv50E0H+VTkQtfb3tgmgUA4f2i6Ny+5d++ybBcYkiYOALgxm8LaTgs+gLnxeFgYIokcXl8ew4vtZpjXOW3zyex4HI7rXco+2A9rOy0Ua8EUx1RcwPLccDUMEgYHz53+XHzn3iS+8p0CTNvB7fksUnviDU83GqGy9XhGOtROEnkWIn+wfz8zFoPtuOFkvaZiQnMDOwM+YNkepNENcxBeQnYncYzGjTuRjWJpJonnm038xXcL+PTb85d9SQTCS8n8RByu64WT7EZxOvVYWoJuOmipFhJRvmdKOQBcn01htZ1vnRmPnVuTs2E6eLCyWy91ayGD+ADrsfrlLDFLAuFlhKYpLM+lsV6UQQEDjcFeJIWqiq12PsS0Gri9kBm5ZpTr00kUqioU3UE2IWAqF7vsS7o0BpKlnp6eHsTL7OOtt9469jl/8Ad/gL/0l/4ScrkcAOCzn/0sfv3Xfx0/8RM/gT/7sz/DK6+8gqWlJQDAT/7kT+Knf/qnz9TE4fs+NE079e+/7MRFCsWaAcf1oOoOvu3ZGEtH9hlVxzGe4jCeCgKahqGfx6X2UG0aKNQ0sAyN+Yk4RJ7B/HjHIT75PTGV4QEEhpuu715/S7WwWVJAURRmx2MDUQxqyCaard3rW9+pQ+JHcCbeSwRDU1iaSR3684jA9owNn8rFMDseP/H7FKoqSnUNAsdgcSoJfk8nuGE6eLHdhOv6mMpH9zVt1VsmnPZYMd8PRhyf1ckbS0sYS0uwHQ8r200YloNsMoLp/Mt7UBMIhICxdCQsyopJ3LkUW05ko4cWpUkih8XpJFzXRyYxuGbIrbKCrZIC23WRjAqYHYuHSqynoamYWC/KoKmg6GdY1AcJxxOLcLh7LRs+zrbvA8/z8WClCkW3UapriEs8VrabmJ9IhI64wDG4tdA7naNU08OiLNNy0VKtU0/iqDR07FRUsAyNxanEQFT8T4thOVjdbsFygsJrUjRFuCrQNIVcKoJKI/APM4mj1dolsXfPAIJR6KvbTVSaOlTNRi4VQSzC4ztPKyjVNYylJUQEFuWGPnSFPReNyLO4vZg5/okEwiUyiHC7abtho+dEJoqxE8bfgEDEZeGcExmdWMBZKNV342uyZkE3nYGqCebTEdRlA74PsCx9Jpv9POn4AxSAhcnEhSeOCWcjFReQigvwPA9f/W4BOzUN2YSAd+9Pgz3DZI6D1nG87Vd3miSGza6WNTu8NiAQQDjoGjmWHmhBcHdMMpeMYIrEJAmEoWYsE4GsW6GAxbAVocUlHq8s5cLHvu9jvSCjoZiISzyWZ9P7iiy2ywoqTR0iz2JxKnnsZKa9+2BDNrFRCmKDC5OJI0W/LoJSfTc/2ZBNWLa7LxdFeHmxbBcvtpuwbBcfuTV2YL2AZbthAwcQ3FOnKbRiGbpn6pjAMVjdaQEI8q4MDTxYqcJ1A7GM08RRu9d4LMJhcSo5coVUhNHA83zUw0kcoyPe+e79KTzfbOLLH2yTJg4C4ZLgWAY35wcTFx9E3PE0BII3yUN/Ho3sz52cBzXZ2FcvddJpZB08z8daoRU2pnTngI8jFRfAlelAJIzCPtGQi2SnoqLc0Nq+TGKggpwEAqGXjaKMjaIM1/OQjouYm4ifeg+6LMYyEvJpCXHJQSouDG3O5SIYeanBnZ0dTE1NhY+np6exvb196M+KxSI8zwNNny7pYds2Hj58eLaLftkxXZRqNhzHQ6tO4TmA2bwASbh81WnNdGE5PqIiA66teGo5HlaKZlgEt7pKYy5/eMGL4/pQDBc8S0ES+jdIPM/H84IBry2++vwFhaXJs29OhuVho7Qb3IpLDHxt58yvS7g8KCroCm2qJhiaPlViQtHtcKSeYbpYK7R6gpcA8HyrCbU9vvj5VhMxie8Z+cdzvWt272MgCFh2xrmm42LfjsZmSQ6DslslBbEI11No5raDUzRNIR0XiLI4gXCOWLbb1xh03XQgaxZikfMZvTozFkcyJsBxPSSjF7/un281oRtBAcnzzQbiy/mBBB5qLSMcEVhu6GGw5zS4no+nG41wWtPT9Tpevzl25mskXA6qbkM1bCQkHrcXs3i6XodpuUEBdl1HRGB7mo6aignL9oJgHUtD4BnIXX3Gp02QG1bQ1NmxhV9sN3Fn8fyDn4fRmcgHAKvbrXPbcwiEy+DadBLZpAjfB5Kxk9v4haqKatPA6nYLtuPBdj1890UV+VQEpuViu6JgMhsFx9LYqSgQefalDogRCMOM7Xh4ttmA3z5/n202cG0qCc10kIwJPb75UaxsN3fPzZ0WYtLZz83T+vnnjcAxcNoTjWiaGniSMBkT8MpSDobpICZxQ5mE9Pb4A082GvgI8QdGksfr9WCqHgBNt/HB88qB3+VeH+AkMAyNO4sZtFQLHMf0CAC4rodaywTLUpc2eYvn6KCbze96fAGsF1phTLIz1exlb34lEIaZbDKCiMDCtFzEo/y5qeyelMPspXJDD6dSmJYOgWd6BKyaionNkgIgyNtsFGVcmz68QG0vrhvYkGFscKOO15bP3xZwXA/1Q84NnmNCNWCGocgE4iGj0/ycigmX0lyzutNCSwn8lbWdIM63t/GIYWgwDAXXDe7rQV3nWEZCNMLBsl14no9vPamAZSkwNH3q+H/vGnchCiwRqSOcC03FhOv5oCkgHR8dW/Wd+1P4//7eQ3z7aRmKZhHRAQJhxFndE3eMRjgYVpBL7ydmqGjWiWOdw8Teaz6LjVKqayi3BWrK1v4c8FHwHINXlrJQNBsCz1xazlTWLGwUu2vQZFw/QryYQLgsPM/Hk/U6mooFigrs9jduj1/2ZZ2YastAXTbgej5M24Xnj56gu6zbyCZEWHbgOymaBWGEGpQHycCbOP7m3/ybR/6coij8xm/8xkDfs7uIz99zQw66wI/jOFy/fn2gr/kyEltvQNHs8PG16cSlO5jlho71ghLMx2BpXF9Ig2NpqLoNh2uEz+M5GreXDi5ccxwPD1br4NkgaZybiCGf6m9zcRwPBlPd/QcKuLWcG8g9PNs0UGno4DkGc+c4Lu5lYFiauILmhdMnUW27d4Se7ewvGradruf4wT3a7Yhkk0ExWF02EY1wB4616h5xnIobfSvj7b0ey9597Ps+Hq/Vwj0kn44c2WlPIBBOj+24+O6LalgMtTCVOFD5UtVtPFytwfN8UBRwcz5zLsp3l9k5bvfsQ0HTJjcASzqXiqClmrAdD6mYcCZ1Vc/zwiQtgDM1hBAul6Zi4vF6HfCDM//OYgaSyPZMoOk+K3cqahgYEzgGd5eymJuIw/f9cCTyaaeyOK4fFk4BvWvhMtj7/o47egEJAuEozlIk2NkXOoUNjhOcC5LIIpsSUahoaCgGSg0dj9dqmJ9MYCIbJbY0gTCEuK6H7hBntWnAMHeL3+5ey0LkjzdG9/rWB/n+J+W0fv55szSTxHpBhuN6mM7HTlzQ3g8RgT2XiYCDwvP9ff6A7/tE+GIE0c3euJ3RNZGiw0E+wEljvgyzf6qM5/l4sFoLRQwmshLmJs53Gs9BSCKHa1NJFGvBFOHTKG6fBtvd628Qv5pAGHYkcfjEHZ5vNVFrBk0ciZiOW2214+Nss/2Pe8+D43C9XltgELZfP+/5sOvcmMxFeybH35hNYb0ow/eAmfEYmCFpACYExYKr28EkCpal8cq17IU3cvTjrzB0IGy3WVRA0cD8AO2SaIRDrWVgp6JisySDYWjMTsTBgDpV/N/Zl9s82RomEPql2j5jUnFhpJrjpvMxLEwmsLrTwlc/LOBTb81d9iURCIQzYO059x6v18Oz8LiYYbWp4/lmIF5xkljnMJFNRmBYwcSwWITDZJ9NFwex12Y4qR3PsQzSictthNn7GfbaRQTCsOD7PjaLSii0KmsWXr85NjRiVf1CAVB1B57fruUcwZIJ2/HAc0zoh15EDGNYGfgJuLeJAgAajQZWVlaQyWSwsLAw0PebnJzE1tZW+Hh7ezucvjE5OYm/+Iu/CH+2tbWF8fHxU0/hAIKmEEkantHijuPhSx9soVjVkUrw+L7XZ8CPgGGzMEWHioIRkcVEPnXpgTutaEAQdgtmHJ9BUoogEvGRV9xQCWRhMnHoPVBrGaAZDp0BHKoJzJ/gfpked1Fp6FgrtPDNJyX84de28M79CXzm49dO/8EAzEkS5ibP9BKEAdBUdPzXLzyHrFhYnE7gx773bA1hvu/jxVYTTcVCNBKs+w+eVcAwND52d+JIdZdETIAkstAMB6BwYBf3ZC6GtfYo4USMhyTu31um8jFMHfI+ruf3jDhuyCZc1+srmDSekdBUTPg+IAoM0ondtWnabk8TWLVpkMIzAuGcaKlWj4Ndaxo9TRxbZQVf/bCAetNANiliKh+D7wfn4Xk0cVwmk7loWCCTiguICCwerFTxha+vw/V8fM/rM6eaejEzFgtUSXxAElkkogI0w8bzrSZsx8NULtq30gbHMsilIqg0AqWOfn+PMHyU6ho2izJMy4UkspjISEjHRfzR19bRkE2k4wLuLOyOO6409fC/TduFqttIxgQsnVHhZGW7id/78goqDR3zEwncWcxiMne599VENoqVnWAySEziTt2cQiCMIoWqirWCjIcrVbAsjelcDJ98bTpsABxLR1Bt6kgnRDQUA6m4iFiUB8cyUHUbT9ZroGgK2YSI8UwUuukQW5pAuGS++biEP/vmJhiawg+8NRdOuxIFFumEgHor8Km7BRVc10dLsSBmjo//TWaj4UStmMShLht4vtmEKDC4PpM6cZHWWfz8o/j20zIer9chcAw+8eoUsqdQWxJ5dmgaSi4LlqGRT0dC5b6JjEQaOEaU55t1vPegCIalcHM+Dc/z8P7jEqbzMYxnAp+8uscHUDQbqTOKJBWqKv70G5vYqaiYn4xjZiyOatO4lCYOIBA9yPUpkDQoJjJRyKoV5C0EFikyhYNAeKlRNAt/9q0tKKqN+ck4PvbK8Ym27ikcANBSLNiOC45lkE2KKNU02I4HhqEwlu7d4zoxR910QFFAOiHiwxdVmG2Bju7miIPgueA9OsW9J4nhtBQL/78/fYpGy8TcVBw/9slrYJjjbUXddMIGDiA4n7qvUxK5sImFMFx036eO40HWrFPZ4WchHRfwYCUQkZrKxw7NKcQlHrcXz+c+erRWxZe+vQNFt5GO8RjPRDCZi52qeTubiqDYtcY7dluHlmbhz9/fhKo7WJhO4KN3Jgb1MQgvGR1fIDOCE3bfuT+F1Z0WvvTBNmniIBBGnO64oySyUHU7jEPtjRk6joP/z+8+wGZBRjop4vvemAlfx3V9NPuMdQJB88j/+tYmKnUDmaSI7/nIDPhzEHPph+l8bCBTt/JpCZWGAcf1wDL0hcdCBkEqJiAistCNwJcZzw5PbS2B0I0PoKEaeLbeAADcXBhNf7UuG3i4UoXjeZgbT2AU0wDjGQkN2YTn+RDa8YyXlYFX+//mb/7mgf++srKCn/mZn8HP/uzPDvT9Pv3pT+Ozn/0sPve5zyGbzeK//Jf/gh/+4R8GAHzyk5/EL/zCL+D58+dYWlrCf/7P/zn82VXh8XodG8VgtG6ppuNbzyrn5vA3ZANrBRmJKN93kYdpu6g1DfAc3RP4SSdE3Lueg+14kETu0hs4gKBQXNbaDyiEwRmKonBzLg1Ft8Ey9JFBG5Fnesa8nzTAc206ibGMhN/78gs4jg8HLv70G1t4fXkME1kybnXU+cOvboSFtY/W6lh4WsKrN04/yrpc18NgfLVh4NvPym2Vehdf+mAbP/6p5UN/l6Ep3FnMQjVscCx9YFf7eEZCIsrDcT3EItyxiX/X9VBu6KApCrlUBAxNQeAYmO2Oa46l++5cTcYE3L+Rh2m5iEZ694j1QgvrxRZyqQgkgQvWHYEwBJTrGrYrKnKpyJUZkS3ybM+5Ju4517787S3UZBO6aaPS1JFLi+DZ4VanPS2TuSiSMR6u54dF43/4lTWYbUW8P/7aGm4tZhE54Z6USYi437aJoiIHmqawst0Kk5/rBRnJmND33/TadBJj6Qhomho6FUJC/yiajWJVg2baiEk8NMNBuaGDZWikYjwYhsbz7SZevZEHENicnXuGooIzeaeiQhLZM6n6/4+vrAbjdzkGW2UFP/ixOYxlLjfolk9HEJc42O7umiEQXgYM08F6QcazzTqKNQ0cS8PzfHzpgy3cXsxC5BisFVqICizefXUKgA+aohCTeDQVA3/6/gZYhoFhOXix3UQuKYFjmSt5ZhMIo4Juufjjr62hI5b8P76yGjZxAEGzb71lgONoTGSjKFR3C7b32uWHkUsF07hs14Nte3i22QAAKJqH9eLJR9qfxc+3HQ/Vpg6GppFLiWGModrU8Z1nFQCAZbn46ocF/PA7iye6LsIui1NJ5NMSKATKwoTR47vPKni0VofAU/ApQFEt8BwLx/GwttNCMsZD5FmIQlucBYEPcFh8zLJd1FoGOJY+tjDzy9/ehmm7sF0PzzYayKUiSMRerqR7Kn54TJJAILx8fP1BMZyo8XSjgYls9NjJQBRFQeSZcIoay9Jg2uKCnueHBVkT2cAn64ZlaNy5loVm2OA5Bms7Lah6IGi1U1HBczRKNQ0sS+PmXPpA0cKlmRTGM9aJY4Nf+MY6irUgSfp0vYFvPinjzdvH55sFLrAHOxNA+rVTCZdPhGfRQiBgCAoQLkEksqVZmMxG4Xo+RJ6BZjoXLtjyzcdlaIYDmqJQVyxMZCO4MZs61WsJHIN713PQDAcRgdm3xt97UEC93RT/ZK2OyWz02OYs4HBfahB4nhcqp9+YS4+cCvrLSqcJ66IbrwbBu/cn8Z//4BG++bgMVbeJ30ogjDDdcceoyOH9JyWsbAXTNRYmkz0xwz/6+no4eaNQ1fCVD3bwVldt40nyFA9eVLBdVtuvpeLD55VTCS0OExGBxb3rOeimg4jAgmNp1FoGTMtFOiGMxPnMMDTuLAa+zGE1aATCMOB7PuotE1LbBqk1jZGsN/jusyp0y4Hr+dgstVCoqkhER0uMJi7xuH89B8NyERXZkZowN2gubMdcXFzE3/7bfxu/+qu/it/6rd/q63f+2T/7Z/iTP/kTVCoV/K2/9bcgSRL+6I/+CD//8z+PH/iBH8CnPvUpzM7O4u///b+Pz372s/A8D2+//Tb+xt/4GwCAWCyGX/zFX8TnPvc5uK6L5eVl/PIv//J5fswLZ+8o3fMay9nSLPyPv1gL1bgV3ca9pdyx1/bhi2r4O4bl9hS1ijwLcYhEuucmEqBpCqblIpsUe4KbFEW1i+OPRhI5XJ9JodLQIXAMZvoIvOwlFuHgdU0H8v1AyYYw+phW7/o0jLOtV6frRnE8D467+9h1jx8xRdPH39f9Oku+7+PRWj1MKDQUE8tzadycT2OzpMCHj5mx+IkCiwLH9KiNAsDXHxTweK0Oy3FRruv45GszuDGX6vs1CYTzoljT8MdfW0NnINm7r05dCVXraITD0nQS1aYBgWcwM9Z7rhXrerjuHceDJPCYyEr7VOSuCt22geu6sN3dfdzzAdtyT9zEAey3iVyvdw/vZ0/vJtaHzUIYbhTdRLGuwXE8qLoN03Zgux4YmgLTDnp12/0LkwkwNAXbCRovn281w/1oaSZ56mRO5z0oigLLUEMzhlMUWLy8OgyElxWnXRDjusH/e56PSkMHx9BgGBofPq8gGgn2/+uqhbe7FGIjfHB+RSMsKApgGQrLs0mM9VksQCAQzgfXdcMGDgBwXA+u64JhGDiOhz/8i3XIWlBUNTMWxdJMGpphI5OInGjqXefc7FbtD97/dKOpT+Pne56Ph6vVsJhR1ixcmw78pb2xTNt+eUdmDwoyqWy0qbZ0FCpquD/wjNHz806R7OJkAixDw7IDdfaDimYd18ODlSosezemP3/EVA3H9cHQFLJJAYrmBNP9pkc/tnFSDopJEgiEl5Pu2B+wPyd7GMtzbXvJ9zGdj4GmKRimgwcrtXAfF3imZ+JxB6Yrb+N1GYue5+GL723AafuEhaqG739j9sD3P01s0NiTv9LN/j4rxzJYnkujUFXBMjTxMUeImfE4QAWiEZ0izIvGdf2e6YCn9VHOgiiwEHgGvh80kvDc8aJ2R8Ey9KH+mu14Rz4+CNfz8WClGuaYFd0aaO7pz7+1FQqGvthq4a+8uxhOfCUMLx2Rx8wIqhXPTSQwMxbDZknB1x8U8H2HnGUEAmE06M7X7ZQV7FSC5gqBY0BR4+HzdKP3zONZGpO56KlinfvO00uwH84DjqXBscHfYbuiYLN9Pu9UVLyylD3xROXLgOmjBo1AuGx830c6LoBtNwwkYzwcxxs5G7gm6zAsF74ffKZW1wT1UYLnmJHY386bC217m56extOnT/t+/uc//3l8/vOf3/fv/+Jf/Iuexz/+4z+OH//xHz/wNT71qU/hU5/61MkudIRYnkvhxXYLmm6D5xnc7VLsGySFiho2YwDAdlk5tolD0e3wd+qyiY2ijIWpBK5NJ5GOD59DydDUkUmsfskkxDOPrvz4/Qn86Te24Lo+UnEe5YYBoHklCoJfZj5+bxL/9589h+14SMcF3L9+tvWaT0VQruswLRcxice963lsFmUAwCvXTvfaG0UZhaoKjqVxYzbdt/qF43phITcQNHH4vg9RYHH9lIo1B7Hddvp4lgHPMkjG+J6k6mZJxk4lSBbcmE2RQmbChbFdVsKCaQDYKinH7tnbFQVbJQUMQ2NpOnkmtfzzJJuMHFoAPp6O4EV77c+MxXF3KfvSFDowDIOP3BrDew9LAIC717JIxHiU6zrWCi1QVKCCexqbYDofw4t2EX4qLhAlopeMtUILj9casG0P0UiQRDRsBzfnMtgotKCbLiIC0zPak2XocM8pVNWe/agum+EaNiwHT9cb0C0HmYSIpenkkUnJt+9O4n9+axO+DyxOJfY1chEIhIsjFuGQTgiYycdQbRqwbAcN2UY+KaLW1NFUrbCJo2Mzd+B5Bq9ez+F/fnMLrufj9kIGH7s3NZLKMgTCVSIW4XH3WhYfvqgCAN64NQaGCWxpWbPCBg4AKNR0fN8bc+HjrbKC7bJyIt83FRcRjWhQdRs0TWHqlNMDT+PnG5YTNnAAQKMroTCekdqTRlRQFHDv+tHxxvPEdjw83ahD0W0kojxuzKaJCj/hQlB0G0/X63BcD47jQeRZaKYDhqYwO54IJ2RmuoSHGIbGwjFq8JrhhA0cQLD25o8QVX/lehbvPy5B4FjcvJUJJ/9dBoWqio2iDIamsTQzvDETAoFwNenE9wDAclzwLIN0XMDcZH85OpFn9008a6lWT1NGQzYPbOLoZjIXhaLb8DwfNE3BcjzQ7ThOoaoe+bsn5eOvTGC7rMB2PCRjAl6/2f8ZkIjyfRXe+b6PF1tNVFsGRJ7B8myaTO64RAaVFz8L0/kYnm7U4ftAIsafqujP932sbLdQaeqnuq/euTeJL763Ac8HZsfjx+Z1OnlUlqFxYy59ouaXV5Zy+LNvbsJ1fWSSIub6aHoyLadHJLAumxjk3MKdqhb+d8cPTZ+xzoFw/nSaOLIj2MQBAO/en8L/9cdP8OXv7JAmDgLhnHFdD083GmhpFuIRHjfmUmHh8iCxHA9NxQrz4i3VgmU54NvCdN/3+gw+XKlAVm0ILI3vf3P2RM2/K9tNlNtiyguTCax35UtvdeVLrwrdsVPH9aDoNjIvSQ0GgXDe8DyLuYkEvvEoqPN5dTIxcg0cQJA3rjQCm5BlGMQk4luPMhf67f3hH/4hxsZGe4TVWTBMB+WGDo6lMZ6RBjLqUhJ5/MgnrkFWTcQjXGgADZpMQgiTRQD6ct4jQqDyaTseyg0NyagA1/WxstVC+paIh6tVyJqNa1MJ5FLDMZa9VNcOnMRx0Xzm49fw+vIYHq3VIAk84AdB41RcGMoGGEJ/LM2k8NN/7V4QnE9J4I9Qa+84IUeN0uVYBq8s5WBaDgSOAcPQaMgGaIZG4hSBTkW3w854y/awutPC3T6bQViGBs/RYWJYEti+9riWaqGpmJBEti+V8HRcgKwGhSwMQyEZ303gaoYdjk20HQ/fflrG3EQC6YRIVCgJ504mIcK0XJi2A45ljj0nDcsJ1RMcJ1hvl1kccVruXMshn47C8zykEyK4AQV9PM/Dw9U6NMPG9ZnU0CYNPvXWPF5dHoPjuJjIxuB6PlZ2mqG99GKriUxChGW7KNY0sExgAx5XNJtNBoojjuufaHwsYXR5tlFHTTaRjgmoyyZSMQHxKAeWoZFPSxhLRZGMCfjR77mOlmIgERPBHxJM2GvDRrseb5aUcMJbrWkgHReOPH8/dm8SN+ZSMG0Xk7nTFXp2KNc1rOy0kJQE3FxIn+m1CISrSLWpQzMcpOLCvqKFesvAs80GJJHDx16ZwI35JB6tNFCsa4APaIYLocu3SB9Q5HhrMQuKouHDQzoeQamuYSIbPfKaPM9Hqa7BdrxA4ZuMvyYQBs6PfOIa3rw9BpqiMZbZjY1FRRY8z8BqF+ukYr2+79P1GrbKamB/08DrN46PtzI0hdsLGRhW4LNwe2wJWbPQkPv3z08CzzFgGTqcICpFdvcTmqbxA2/OoC6biAgMIgKHUk2DaV98fG6nokDRgib1lmKh3MdeSSAMgrWdVqgkqeo20gkOKU/AZFbC/ZtjeO1GHq53cv9Q5BnQNBUWDXf7BpbtolTXwNDB/sPQFO4sZjE3Hg8EaM7JD6+3jLBR6rDGDNN2sV4IhGoc18PqdguvLo9ezIRAGGUU3Ua9ZSAisMilrubE3cPoju+lYiJiIoebCxkko8KZCjskkUVdNlCu6+BZGkuzKRSqKsbSh8cKkzEBr97Iw3ZcMAyN1YLcZR8Odp+en0z2nb86LXXZDAuPDdPFZkkZqAgYYfRIxQW8tjwG23HbdQUnr51oyCYqjWDqoGG62CjJiPAstqsq8qnIsU0Zb96ewI3ZJDTj+Pin2pVHVXQbX39QwN3FLPLpSF/XPp2P4ce+5zp000Y6LoCmj99T9vpSUbF/e7DWMqDqNpIx4dBGq1RMCP9+PM+c6PUJl0dn0mY2MZpn9LuvBk0c33hYhG46JA9GIJwjxZqGVru+RtYsFKrquQi28SyNmMSFcTUpwsHzg+bHTo3kP/7JN7FeamEqIyF2Alu2qZgo14N9z7Rc1FpGX/nSDi3NwuPVGnguEMYehWLtqLj7t6QoXOg+2VRMtFQL0Qh3ZgFrAmEY8Twf0QgbiF2Cgiiw8H1/IHXcF8lkNoqmYsNxXWTiESTjo2kXHpUff5kY+C7/T/7JP9n3b5Zl4cmTJ3j27Bn+8T/+x4N+y5HAdjw8WKmFDrZhuccqZR2H53mw2spchyVXPc+H7/tgzlhUmUtJ+N7XZ/Biq4FEVDh2CkeHm/MZbBZbSMcF5NrX6Pk+3ntYwKPVOgDg+WYDP/zO4onVtBzXG2iH8FY5UEQHAkP29kI6VDK9DMbSUdRaZmiYAehRVR4VBnUPXhWiIgeRZ4+8d59t1vEX3ykAAJ6s1fF9H5kJxhofAENTkEQOvu/DcT2kjmjycVwPDE0danj47RvM83xQ1O7j4+i87q2FDDYKMiiGwtwhjl/3vqVoFh6t1cJiZ9fze5SnDlrjb9+bQkQoQTcd3JhN9TSreN2q4y0DTdUCxzIoVFXcvZa91MYswtUnkxSRS4koVlUk4wLGM8c0J+5ZXt0qbJeB67rQLRexE557y3MpxCIcPN/HZDY6MEXvr363gOdbTQDAylYLP/LJBUhi/9fmtv+e56ma29n7MnFx9+v0fcDf/T4pKnjew5UaTHt33PmN2eML2IPCurNdo+/7cD3/XBRVCIPjwUoV77eVHgzLwXQuhrmJBHz4sBwPb9waw2RWgq5bYBjm2ObnRJTH9dkU6i0Dksgil9q1DbrPds/z4bpH7z2O6yEzgCLOesvAH399PXw/3bLx2vLL29xPIOylWNOwthOovBaqKpbn0qF/rBkW/uCra3AcD47roqkYuL2QRTImICKwqLUMxCIs3n11CivbTYgCi9faKvbd9rTvA1GJa58NXl++5epOK0zkVxo67l3P9X2mXIQf6LiBCi2ZKEIYdSay+wuFeJ7Fp96cxYfPq+A4Gq/eGAttO9108P7jcljwbbteX00cAEDTwZrZuzRV3caj1Vq4rlzX72kqOQmu54Nqv1cHlqFxayGNQlUDw1CY3jMFhKbpMLa5UZTDwqhiTcO967kLm/a3d2s8i5/muh6oQ/Yow3LAs3RfRVsXyVHXTDgfOn6l1z6YLcfB080mJFGAbtgQBBYfWR4Dy9JwvWAP2OvnHnXm8lygSFmqaeBYOhBqQrBOu/3UakPDnWtZ0DR97GSfg9Z4v1SbOp5vBr7+TlXFrfnMgQWFe2OS3ggExYn/TbhKaIaNhyvV0GewHQ+Tuf6aGi9jLXTnHM5C59opoMco4DgmEPCxXdAeTn1+d0R9FN1CU7HgI4jL6Kazr8i8O5fDsTQ4lobn+fiBN2bwaLUOlqVx//puc9ug/gaxCH/i+PBJGMX9nXA0HfvR8/0j849H0bnHT/qeHVtEtxx4vgeaCl6jVAuEZOAHOVbX9XB9Tzx+716VjEWQ7EO/xnHc4HddHxtFGSxLY3WnBdN2MTsePzYPCwQNXdIJGiWO86X2YlgORJ5FpaHjxdau3XV7IXNgUdT3vTGDbz0pw3E83F7MnJtgKGGwVFujPYljYTKByVwUOxUV7z0s4pOvTV/2JREIV5aOveV6Hhia7isvYFkOaJruq9mhOybxg2/N4VtPywCAO4vZA2skl+dOPjVjr83o+0HTSHe+9DB72LIc/NFfrEJvTwiutQx8/wknAA2y7uC4mEonpzM7HgfL0jBMB7lUpK8mjn7skOOQNQuP1+uhP7Q0kxy42A+BcNn4ADaKCuR2Pa5f8vHRO5d7TachlYiAYxoAKMSjHLgRnNZTqmlYbefHd6oq7ixmX1qR7oF7YV/96lf3/ZsgCJiensZP//RP40d/9EcH/ZYjgWbYoXECAC3VPOLZx9OQDXzh6xvQ2gf2D741t8+AqjYD59z3gemx2LFO/XHMjsf7GmdmWQ7++L0N1JoGdCsotOYYGoblIiKymJ9I4OsPC+HzXdcPJnX02cThuB4erdagGUFX/q2FNDj27BtRS7HC19/cUdCQTUxkJdxayFx48qUuG3i+2YRm2NANB+mEiESM71FeHAVaqoWnG3W4ro98+ni1k6uObjp4tFprj6PmcWM2faBxXugaXQsAhZp6aBMHACiahSfrjXahpbhvTLfv+3i60UBDNsGxNG7Opw9saIhLPAzLwXpBBsvQ+MRrU0d+Htfz8XitBkWzIfAMbMfDo7UaKADuLX+fynZDNvAnX1+HbrrIpSLBlI8uf6ulWhhLS+Hr6IaDiMji1nwmDODyLI237kwceD2xCId8OoJyXYduOaFCmO8HijikiYNwnlSbGjZLKhTdgm65KFTVI1XqRIHFeFZCsaqBooD5MzZ2noWNYgu//cVnMC0X0/kYPvuXl8Ew/Z2rHMucy7WX2moaAGA5LqpNs+8mjkJVxXoxUOxcmEz0NIcNgu69T7cccCwNlqExNx7HRDYKgWfwnWcVUBTwxq1xWLYbFsYACNVOzhvDcvB4rQ7TchGTONycz5xrUwvh9BSqQZFirWWETcU3FzK4MZsCzzL45uMy/s/ffwTb8TCWjuCvvLOIW4tHT8rKJEQIHIPH63VsFBWkEwKuz6QwnY9B1mxUGzpkzQJFBcHPvQrTlu3i0VoNhukiGuFwcz59Jnu4VNN7GkaKNe2IZxMILx+d+IDteNgsyai1DMyMxXFrPo1q04Rpunix3YRuOtgoKrizkEUyxqOpWGBoGgzLoFTX8JGbY4hJPGzHw3eeV3rs6aZi4M+/uYWGYmA6H0MmIR5biNUdt7AdD4bpHFvYCQSNW8+3mvA8H5O5wycLnoUXW01UGjoYhsLyXPqlVmchXF1004HYnnLbUAw8Wddg2R5s1wXL0rCdoHip39I3z/Pwhfc2UaiqEHgG3//GTJjsbCgm1gsydNMBxwRF3Kdp4tiuKNgsKqAoYHEq2eMTSSKHa9PHx4W67WXP86Hp9oU1cUxko2jIJsx2DPO0jSwr202U6/v3KM/z8Kfvb2K7rILnGXz/R2aQH7C/clrWdloo1jTQNIUbs6kTi+0QTobv+3i+2UStZYBlaExkJWxbKrZKChqygViURz4tISrxYFkapfpuQqvjewL9nbmxCAc2H8Uff20dDdlETOLwiftTMG0XnufhW0/LaKk2Hq/X8am35o4UiOle49emT57I7/GH/cDWOKiJQ+RZTGQlFNoxk7mJwdsSg6Q75puI8Vg+JOZLIIwKim73FHe1VLOvJg7DbMeibBdxicfyfPrcY1HluoYvvr8Jy3IxlY/i+z4yc6omi73reGosiu2SClDARE7C739lFbWmASnC4Qc/OneqSeiluh5MUKQ4GJaLltqe/tW1Nx6Wy+nO9y5OJ3vyvZWGhi9+YxOm5WIiK+EH3pwdukbRDum4iERMR0uxwDL0mfPWhMtldaeFUk1DsaYhJnFIRoVA9Okc/fNOwzdNU1iaTuJbT8vYLMpoqTauzyaRT0mwXbcn91ioaj1NHJph49FaHY7jIRUXcGM21VexY+e9g9yFD98H8m1/pyEHooyyZkHgGNycT0McoGJ2P76UYTk99l5PrtgPijIPip2IPIu3X5kc2LUSLobOVKNRbeKgKArv3JvEb3/xGb78wTZp4iAQzpFsMoL3H5XQUi3EJA53rx3dRPH1BwU8XquDYSi8/crkkTVesmbhyXpQD5ZLRXBtOolPvBqs56ZiDqxGMhUTkIoLaMgmGIbCzFivDXmUT9DSrLCBAwDKDR0noVjTsFYI4jHzE4njhTyPYLusYLN0cEzloBqpfm1lz/PxZKOOlmKB52jcnM+cenKHrFr7arhIEwfhquH7Pl5sNQPRaQCvXMvC9wOB1lFifaeFQk2H7yPIG3XVJI0Ke2PFimaRJo5B8YUvfGHQL3klkEQWDEOFxUtnLTD44FkFmukACBQxn27WcXuht5hrbUcOA61bJQX5VAT8BSQ9H6/XUWsaMC0XpaoGXXewMJ2ATwHzE3GkEwJyqQhqbeeSYSjkj1EU7qZU06AZwWfXTQeFqnZkUUippkE1bKRiAtIJEYpuo1zXIHAMJrpUw2MSB1mzUJdN2I4HkWegGQ5KNQ1TFxxIXNtpwfN8CBwDVbcREVlM5WIjl/xZL7TCe75c15FPRc41eDfsbJWUUCmzqVioy8aBBu9ERsLqdit8PJ45PEFSbxl4/3EJrucjKnJ4tFqDZTm4Mbfb+FBrGWjI3YVhCpbndgOWnTXCMTREnsW16SQomkJDNo8cpViua+GkGFkz8c3HZaTbivTvPynua+L49tMyKg0DluPBsBzk0yJABcFNwwpGYwFBMaveWeOGg2Kt/5GOi1NJzIzFMJWPYrscFMVSFF7aQ55wcRSqOhQ9MDANy8VmScYrx0ytmp9IBHs7hXOfVmRYTtgwMpmL9Shb/c/3gyQfEEyl+uBZFa/fHKxCfuf9aZrCZC4KlqGhGTZKdR0MTWEqH+tJ6mZTImQt+HuyLI1ssr8CItfzgwaOtv2zttNCPtXfKPN+6d77NosK4lEOE5ko1gsy0nEBpu1iaSYIaMmaFdpexboGGkAyJmBlu4lMQjzXwqidihp+r4pmo9LQzxRYIpwf+bSE7bKKjZIMVbMgCgyaionluQz+x1dWUG3qYVImLnH4029uHdrEUapp+Mp3tsFyDKYyEThtX73eMtFQTKTjIl69nsPXHhTC+2+9KCOfivTsQztVFUY7qKnqNkp1DVO509vDubTYnvK1+5kJBMIucYlHvWWi1jJgux5EgYWq2yg3dKTjApqqAc20YdkueJvGt56U8X1vzqLa1OG4HrbKClZ0By3FxNv3pvDBszKqDQOZhAjdcLBTkfHd51UIHI1kVIBm2Kg0DUwo5pFnUUziQ7+dZekDCxA6ewTPMeFUrrVCK1Sv36moyKciAy1ekDUrnBDiuj7WC3LQIE4gDBH1loGGYiIa4fY1FVebOlqqhUSUPzQJZtouVrdbqMsmaJrCdlXFZDs24Ps+4hEeyagAigJmx/o7o1d35LB51LRcfOtJGT/40XkAgO240NtxRtv1IGsmNooyPM/HeFbqS9XZcT1sFpX2NQZFXUc1th9GXOKg6oG9TdMUIidQqT0rAsfg/vUcbMcDx9L7/IhiTYNm2EjHxTCGsRdZs1CuH7xHrRflMFZhWS7ef1zCp99eOL8P1CeaYYdNtp7nY63Q6lH3JgyepmKh1jKg6BYKVRVrhRbevjcJRTWxGVfhuB4aioVbCxn4vh9M7Grb0utFGfm0BIamsLrTe+aOZaSepifTdlGoqPjWkxLWdmTwHA3f9/FkowFJZPFiS0ZTsSDyLHTTxTeflA9VpLQdDy+2mmjIJigE98pJE/lxiQ/XR+fxYcxNJDB5QTGTs9Id8221v9vT7H8EwrAQi3A9Pnz8gGarg9iuqKGQiaxZqDb1gYur7OX9xyVY7fjXdjkQdlmYPLmY2N51nIjyyKZEUKBQaRjYKikwLBeqbuODp+WwOK1fNMOGabuQNQsRgQNNUWETW/de2BH46BSCR0UWy/OZI/O933pSCWOAhaqG1R25r8bZs+B5PnaqKizbxVhaQrTP/AtNU7g1n4HtuGBoeuRynoRdVN1u5+ttNBUTuuUgKnJYL8q4c4z4TDee56NQDfaOg3LIlu1ip+3DZOJCOLHP83y897CAYk0HRVFIxnhYtofXlvPYLitY2drNse5tzN4sKXDa670hm2jIJtKJ3UJ42/GwU1Hg+8BELgrf97G+I+PpRh2ZpIjxjATX8zCejYb2meN5oT9l2i62K+qB69D3fRSqGgzLQTYZObCZ9bQ8Wq2FuWBFs7FVVpDuNOdSZ69NIQwPhuWEPvMgpmhfFh9vN3F841EJtuMORLSVQCDsp9YyMJ6RkEtGwDAUai0T0UMmrzVkA999XoVq2KApCu89KBzZxLFekMN6sEpDRz4dCc8bSWRhOx6qLR0cQ+PGXPrQ1zkOigrqCygKkAR2n3jrXp9gZbsFjg2mjqTjPASeCe3l3Ama3zoxsrDuoBDUHfRrw7quh+2KCtfzkUkI2Cz1xk27YypnqZGqNo1QtNqyg3zRXuHfftlr15/nlD4C4bIwbQ8bRTkQWUCnRtcFTY/WRLqVnSZ834ePQIzjyVoVk2eo57gMYhKHbz4pQdVs5NIi7iyefFrTMFCXg7pcSeROXZM18LvvK1/5ChqNBj7zmc8AAKrVKn7u534ODx48wLvvvot//s//OQTh5VPy4lgGtxcyKDd08Cwz8CI6GgckMk4Y+1LaxZJnLrJvJzgdz0NLs2A5DjTTRjYZQTomQjMdvHlrDJF2YcriVPLQwhGrHfA9bfNJoapivRCocZfrOq5NJ3uSW6bthkbnzFgMPMfAh49oO0G8d7TvRUGBguN6KNc1yJqNRJTH47Ua7l7LjtQ0gX1Fs6PWtnhJdBRhynUdk/nDlWtLdQ3P2qpMmmHDclwIHBuowFD1MFDqOF5YgAD0fg3FmoaVrSYc14PjeYAfKLq4rgdVt+E4XjCmz3LA0L0jjfd+v/Qh329nb2koFhpKEEDUDRs0aKQSPEo1DZLAoiGbaCrmvtvkpMXXHMtgZiwOnmWgWw4yCXGk1g1hNImKLDJJEablgmeDAsnDsBwPmm4hFuFPNCb8tHieHzR42UFiQtHtPYmUPWu5fUmG5cC03DM3Gux9/5ZiYX4qjserdRiWA5qiYFgObnSpYb19dxJxiYduOrg+k+x7CkeHTtKV5wb797Xb+2kHCl17FLX7l2Tozn5LgQLgwweNoJPcsFzwHINyQ8fdxWzfSc6zQk7g4cTzPMyOxUD5Pr7xqAiGoaFqDjYKMnzPx0FxwL3/5nk+LNuF7wP/1x8/DpqdfR8fUhQ+fm8StutBEllQ7bvA9wOlON/3u+7f3hfd+7bUGe+gbDKCH3hzFmsFGYkof6JkLoHwMtARF3A9DzGJQ6SrWDom8Xjj9hh2KhpYgUJMZLFRlmHZQXLzyUYD26UWGIZBQw4m0vl+0Lxl2S4mc1GYlgevveZdz2ufSsfb2demkpAEFrbrYTwt7ZvIY9kuHq7WYFoOaJqCablBQ/jePYMcQoSXjKZi4ulGA0Dg18MH0gkBflv99PlmM/wZRVHIJPYnDz3PD4qL2op1luMilxBh2i4kkcX3fGQK5boBkWfwyrX9zeMbRRnxKIdUbPe19y/53X+QRA4zYzEo7akXqu6EBVJ12cD96/n+EpSB8XvI+wVxOJqijvSDZsfj4DkGpu0il4z01UAySCiKOjAO2RNjbOi4vZA5sBDqqL/S3v1xWMNkZ7X9CMdDUUFB77ONBuqyCYFnIPAMRIHF68t5bJYViDyLd+5NwXW9tiq+f2TyvCGbkBULQjooAvA8H49WamipJh6vB0V9yZgIzwfg+1icTqKpmChWeUSlwC89apl7nt9T5Gx1+cb9kktFQFFBYWEixh8bb7iImMlAICFwwhVDEjncWsig1jIQ4fufTHUZ9/6+XMJpz7CuX/N9H883GhDaNsjqTjA5CQA0dOJ7/cdNHdfDhy8Cv2l+Ig7T9vD6zTxScQEcS2OiS8TLMB1slZXQnopFOCzPB9fnuB58/+i90XFcaPr5TwFeK7TCprxiVcMrS9me3LLr+bDtIAZ6kA1JCnWvLiddg+tFGaV2M3G1aeDe9VxPQ+rjtXrYHNERc9AMByy9/704NmgMmhmP45OvTWOnqiKXFHumcBxy0T08Wa+HBfJBo7MPVXdQaRrQLQdz4wlIAofrsylUmjoEjgFNASvbLdiOB4alD90PN0tK6GdVGjpeWcodq5Qd+FDHr5u9MZ5UTMC16SRU3UYqLpxbE4fjeFB0C1KEBz8qttuI0zmTBJ4Ja1pGkRuzaaTjAuqyie88r+IjAxaXIxAIAZ1cNssefkZrhgXHC/z+alOHZtigKfrAqXrddt5B79Wp8aOo4H80RZ1ZbNFoT83zfaAOE47nY34isfu+e15+vdAKG1XqsoFPvTWLp+sN8ByDu0s5+L4P03LBsfSxohFdoc4TexrP20IYQCDC53peWEOw733OUCO13yc6PcmYgOW5NJpKMNmLTOEgXFUkkYWmB37GRYpIDRLf9+EBgBeMEWHo0fOzy3UN9ZYB2/Hg1nzImjVy4vCyZuHpeqP9SIfv++EU7ZMw8Lvw3/ybf4N33303fPwrv/IreO+99/Duu+/iD/7gDzA/P4/Pfe5zg37bkUASOcxPDKZQ77WbY4Fal2ZjIiuFis/dLE4mgnHqvo/ZsfiRjRDvPy7hwYsqAODe9RxevXF6tbWb8xlslRSoOxYasgnf9+F4Hu61A56qboOmadw7RqG8M0oMAGbGY6H673hGQkMJxpJGI9yRN34nyNKh2jTCBg4gKGTtQFEUxjOBYswff3UNih4kk169cfR1ngfxKI8PV6so1zSkE/9/9v7rSbI0Te8Df0cf1zJ0REZkpK7MquoSXd3T3SO6GzMYACQwHJIw42Kvloa1pdne0BZ/xprhhtyrnTUj1khbAznLJTEYDDASI1p3l8xKnaGla3W02IvP/UR4ZESqyqrKrPLHpm0yKiJchJ/zfe/3vo8w0VSFOBbJI68SGX15NsfdzTZBGDFTSX/t0xAWp7MMHB/XCynljVOJGiNcXCo9trG4ttvh9nqLRtemmDFw3ADLCZgqpkmbWnJt79b6bB30qLdtdF1mvpIdU2w32jbre12CMMLQFM7NZbFc4SaVTens1AdcPVekbwePxPpViylaPaHqLmRMvvfmPJ88bCDLEt98bQaAD+4e8skDsbaYhkrKULFdkboxXU7jBeGYG9fA9pmtZOj0PQa2uMefV/T2tMOlCSZ4EbiyUmGnNqDetslldN68fPre0eo6/OnPN/G8kFxG5+9/e/lzJyX5YZQIKODRvfGH31ziD//iHgMnYHkuz43VClsHPf72wx3CUBSYP3j3KHb0WeEFYfL8rhfwcLdDvWtza61J2hBJZX4YjYk4VFV+rlpEkSVSusq9zRoAb12efmEpHPW2zcPdDmEUY7sBWVNjeS6HLEtIknAJ1XWVldk8G/tdJEni/Hwe1w+RkJgqpfGCI0cuYhg4/ucm4liYytK3fGw3IJ/VJy6gLyGCIOJPf7ZJo2OjqjKlnMFB02LgihoUGd69NsuPPt5lumTiehFZU+cH7x454/pBxK31Bo4bYrkePctHloRYynJ8/v1PN0gZKudmcrx7dZaB7XN7ozl0yfNYnM5yfq7wSCN2rpqhO/CwnIBcWme69Nmvn7lq9pVzf5hggi8S06U0xazBnc0WthOQz+hJas27V2b5+H6DTt8jBnwv5Je3D2h2HG6vNehYHuWcSTalcXu9xUw5LQiSQ2f1KI4pZk3ub3dotG0KWYMgDJ/o+CgP07LOguX4bB/26Fv+0Kk3ZnWhwMp8nvvbbcIoZmEq+8JrnVxaZ7qc5rBpoaoyy3P5J//SBBN8gThZb2/sd1nfG35xojTtW96ZvYFCTqfRcZCQKGUNfnHrcJhqmeL/cPkaFxYe7RkEQcB//798xE5tgKJI/Ge/dZH3XpsFRI9mfS/LzmGftKHyztUjgkS1kGKuKs7ipqEkyXMgHNy8IHzivawqMudmcmwd9Ia18Hivcm23I8h+khCJnVWfSpL0XE3uzxvH/ybE4nM+jQiVTevMlNMcjNao2aMezPJcnvW9DlsHfVKGwjtXZ76Il/5EpE2NuWqGvcYARZYm6+oXgELWIG1qeEGEIksUMjqeHzJfzeAHEa9lK6wuFLC9gL/65RYf3K0JseRigf/ku6tJ/X5+vsD97TZ/8/42nYHHh/cO+f67S7x7bZYgjHD9kM39HkEIthuSMkLCSIg776y3mJvK4gcR+w2LdErjG5cfQ5ySBBmw1j5yvH4eVAqprxwJYHEqy8AWPd9i7vE93wkmeFWQS+vPTPidn8rSszwcN6SQ1al+Aff6O1dn+KtfbmG7IUsz2efew47fx7mMQW/gJt9Lmxr5jE534JEyVTRF4g//4h5xLPpv33/39ASjEeptm3ubLaI4Jm2qrMznz+x7aqpCLqXTszw0VU7IC7m0SGGPopirK+Wxee87V6f5y19ssTU8m8nyIe2B98xpIc+CUV3U7DrU28JM4NJSkcXpHI4bcGu9iR9EmIbCtZXKqyPKm+CpIebzafYbljBSS6loqsy52adzjB5hZAIHgjhqO0Ei4gjDY710RMrdbr3Pnc0WsiTxw3eXMA2V9b0uhq6MnW+W5/JnrgeL01lhjOdHlAsmxRNirIEjru9Gx+GgadEduOIajsV84/y86HtkUlrS2/f9kF90D2l2HFKmyrXl0+e7x88UcSz6Ko8TcWzud9lvWCDBymz+sXPPa8sldmsDGh2bQlbn9YsV0ubnOxdwvIA//ekGnb6Hriv88N2lr1yd9zJilNpdyZsvNIX+i4YsS7x3fZZ//5MNfvrJ3kTEMcEEnxOmT/Dr5qrjPbdP1xr86s4hxMJYpTNw2T7sIyFRLY6fbY/XeSlDZWkmx8PdDkEQMV1O07W8JKW3kNVRFTnhAlnOeL/0WWC5Acf9l0/2Xk+eCdKmlvy850dkUjrfujEHCBHKp2tNBraPqshcWS6dOauXZYmVuQLre8KQZ2Wu8ExJcv0Tr3O2kqHWtpFP6Zt+Fo5UOW/S7AoXeENXWHjK1OazUMwZZyYQTzDBVwEZU2W2nOaXdw4BuLoyh6q+ekKOUtag2RXnKVWFC0vFL/cFPQfqbWeMB11v268cn2RsbsSja//T4oVfgevr6/zzf/7PATE4/NM//VP+xb/4F/yzf/bP+IM/+AP+8A//8Gsr4niRyKd1fu83LyYu+aehlDd5Jyec/h5XSHhekAg4AD5+UOf6+cqZjzuC64fsHPaJ4hExQ2GvPmDg+Lx7bYbpcoq1ve6wyRJSawknjadxpgmHjoMjbB/2mS0Ld1JFkakUUiiyTCH7eBfzQlbn7mYb1w+EY825okgXGDoZFrMGfhCyPXIRi2G/NSCfNZitZpAliUbXZWHq9KItCCI+uHdId+BxbjbHxcXnj4A7jk7f5cJ8gVLWoNFx8PwQ01C/MLfuF4VsWuftq9NEUTyJRUaIGN68NPVUf4+/+MUWu7UemZTO6xeqzFYzZFMaQRjxcLvDrfWmiPaKoWd7XFwq4gchuiaW9WLWSO6jUbxgTMzrF6tjz+14gVA1hhGmrvL2tRkOmwPKedFk6/Qc3r9b49JSiTiG7YN+0oBTZIlKXjjo5VI6c9UMr18UxHVZlgmCiE+OrS2Njs0712aIwoh236XVc8aLfwnyGXGYu75amVw3E7xS0FWZ3/21lcfuyyD22FGcZ2/gcW+zxesXn184+bSvLWWqSQTnyX14rprl//pP38LzQmwv4OFulx9/vAfD+mG/MWC3NmDxlFQgzw/ZqfUJo5j5auZUoaGuKomAq9FxcNyAvVqfRttGKqbIpDSRHIDY/w5bFrqmsDiVfaL7xUmMBjujiNC+4z/XWuJ4Ae/fPsTxQi4vl1iYyrK222G/MSCKYsp5kxsXKiiKzPZBjyiOEyLsdDnN1JDwLkkSURQnMa1pU01Si2RZ+lwjzHVN4fWL1cla+hJj86BHoyMc5IJAiK1G6VumoXBnrUG940Ac8RvfWOTqahlFkulZHvuNgWj2tSzubrRp9GyiIMR2fGIgiGIYXmMpQ0GSJLYOe8LFIIzJZ4T72upCISGJH4emKty4MLl+Jpjgi4auKbx+oUq9Y9PqOuzW+sxVMqztdUgbKgPLx/IC3CAiCEI+edigWkwTxTGOJ4TSqiTT6DiU8yYXFosJyVNVJHRF4tJSkXxGp9FyPvPrjYZGAzAkH7hHtcbbV6af2Iv4LFiZy3NuJvfSr1HNrkOjY2PqKgtT2Zf+9U7wYpDP6IlNWxzH9Kwjsv/A9jF1JXFdO6tHZmgKGVNj57CPIksEYUilYCZJWjcf1ilkDFRVZnE6myTl/OpunZ2acHYNw5i//PlWIuKQZZlvXJpirpIhk9JImxpru52hcDvNleVysvfffNjgwXabOIb5qQz6Y1xf9xsDepZHPmMwW8kkQ8bjZBLbDRK3ZmKRFPKqiYzzWT1xPJWG/YuzsDyXZ+mMNeo331564rnxy8DSTC5Zp6IoZuugh+MFVIspSrkJIf1Fo28Lwt5U0cTxhJAjm9JZXSiSG6Zi3Fpv8qs7h9xebw7PkTGW7SPLYm3ZOuyxsdelb3n0bY+UoRLF8OOP93j32mzSM/eDCFWRWZkrMFNOMVPOJP3DdtflO2/Mo6vKE69JXZWZn84mvbzSUKjgBxHbh71kLXlatzTPFz35KD67n/Cq4Fl6vhNM8FWGoSm8cfGLvReKOZP3rs/Rdzxmyxksx2e3LkSJi9PZp058OHkf33zYYGD7Cdns3GyOYsZA0xTub7UTUthOrZ/UTJoqs3CsLhuh2XGQZYhCkSBwVqL5QdPiZ5/us77XZqGaZW4ql9RVza5DxlSF2Zvj4/phQnQv5U1+/weX+Nd/ehuvIF7Y+m6X6+cryVr9olHI6liOT71toygShqawWxswV8mw37SS1CZnOBt+nDnABK8uzs3mWZzOJfVjp++yW+8/0/m3kDWS2YCqyGRSR9QVMRuI+eRBHYCV+QJ9y2eukkFCuFv/lz+8zLdvzCV1TKNj0+wKItB8NXMqwT1tCuHq6H4PQlHLBIEwJCxkdFpdl0bHxtBkbNen1gqYKplMl7O8feVR46hmz6VaSCWk+nrHoXhKDZ3Lajzc7eAHIcWscWbd5LgB63td7my2qBaE2ePmQe+xIg5dV/kH33nyjOpF4sF2h05fEMc8L+STB3V+8+3HC9sm+OxIRBxfAcHMt4Yijp/d3Of/8vtvvNKilAkmeFmhKjKvnT+be/PR/XoSNXHzYR3XDZka9uxqnfEZwvE6z3YDLNfn7SvTiZHyL24fJD/b7DoEQUSz66IoEq+dL1Nr2bT7DhlTiEF36wNsN6CcNx+7pmVTGo4b0Ow5aIrMbHWcW1EppPjPf3A52QPvbraSBIyUoY4lRTU7Dve2WtTaNmlDJW2qXF0pn/ncubRGadgHGfVrnhbFrJEkiRmawrnZPMuz+WFKyfhn8Vk4UrIscflc6aXsSYz6xrm0/lKa9kzw9YRtezhemJgv9WwPzwvR9VcryaLvBhiqhBfGKLLE2k7nlRNATJdM/sNP1xm4AVMFk9/9teUv+yU9M/IZfWh0KL4+aRLwtHjhIo5+v08+L5wNbt68iW3b/PCHPwTgjTfe4L/77/67F/2UX2s86RAuSdJYdFYQRjheSEpXEmKkLMtjF5MiSzyN2fbdYxGmvYHHVDHF7jACtNV10VWJfMbA80OyKagUU5ybzY257h+HF0S0ug65tIqpa2OvST72Phodm429LiDInrIsnfqYrh8K5wdNAhQ0TRDYXjsvYqA1VWGqlOLWWpOe5XHYsugOPPIZjXbPY3k2h6GrZzZUO32XX9zaZ3O/J8jth30ypvZCFkRFkZACiUohlTR+Z8rpz92t/fPCy1Yoftl40t/jbz7Y4eef7tO1PHw/wvUCLp0r8ealKdZ2O+w2+jS6NoaqJEr5K8tlsmmNw5YFsRDQBEF44t5+NMI3jkHTxA0fhCGtrj0mjJIkaWzoICtHD9DuuaztCtV5p+clYpGj9ynWkzAULyCb0ri8VOTmw0bSmPWCiIuLRWwvoJDRk4al4wV0+h6FrP6lXfd+EOL6wkXgtKjICSY4DSf35dG+a+oKqiKjnRjivYhmervnEIQR1eLp+6skSVxbKXPYspCl0/dMgIiYu5st4qGrrB9EiXukdkaa172tduJ20R14vHlp6pH7RZYlrq6UqbUtml0b2ZJw3BBJlkinVKZLaeaqaRw3SJ4fBOlsdeHRpLHH4ajuGQolTtRBZ8HzQ7wgIm2oyLLEjz/aY6cmxKT7zQH/6fdW2W9YdIcDCcsJePfaDHc3WrT7LsQxfcvnzUtTw2SOoyeVZVF73NloUcoVKBVMkciUM54Ylf4iMNmDX174QYgfRGiqLNzqpzOYukYcR6QMjVsbLR5ud7DcgKUZl/X9HleWS+iqQqvroiqyIAvstEXqihewNJ1BkiVMXSEMY7oD/yhFJxb1q+v5GLqGJElPFEpNrp8JJvji0bd9Hu50huRvh/ubLbYO+xy0bHZrgsytKTJ3t1sMHF+QMUtpnCDg/GyegRsIgqckUcrpdAdinz5oWniBqEv8wHkhZB5TV1iaydEbeCiKzNyxJvzJXsTngZd9jerbPve328MhmEgpPTc7cbf/OiCb1nltpUxn4JExNe5vt5NhZjalcXGxiOWKtKuzhABBELJzOBACTEnCdn2qxTSSJBFGMbuHfcKKeEzPD7l8TpiKpHQFiIkiIfYYnfdB1Pj3htdkd+DxYKdN2hDDx87A5Y2LU0k/YCREjobF+TGzO+DIPa9v+2zu9wCG9YlEylCRJGms1j15v8qyhOV49KyAUt4cG6a+rJgupdEUGcsNKA5TFM5CFEXU2sKFN38KMetlE3CMMPqctg56HDSFGU+r53JjtfJKE+xfNvhBxJ2NJmEYM1fJYns+SzNC+DMSfD3c6fCLTw84bNkcNgcYmkrK1OgMPIhhtz7ggzs1ml2XnuXS7rkUcmLoP+rjSZLE1ZUSja5NKa9jexHTpRTVYmrc1TqKaQx78mnzbAHGWb2FBzvt5Kx8ci15HEbpYyBmC6Pz9KuMV/31TzDBi8IXeS9sHfTY2u/Sd3y29vtk0xrqsA9iuwGvna8AR73+Ue/vLIy+d2W5xPZhn7ubLSrFFJ4XICuCHHXYshJSWBhGbOx3yabE+ukF4VjaMIh9f2kmT3fgosgyK6ekAzhewF/8YpOdwz6eH7J+0GNuKpsQnfbrA1pdl5gY2wv4ZnyyOgNVU/GCoeOjBMpz1BuWE9CzvCfWZ0szOVKGRqfvkk5pqMpw9iRJp/aGJ/jqYvT52m6QnDXAJYpjlp/i/CuuJRXPDynnzUeEV5t7PTp9HyTYq4v6VJYk4jgmjOJE0BRFMfuNAeu7XVRVptV1keCxAqLRa3+400nu6Xbf5caFCrmMQ2fgkjJUtg97qKqEpsrDXsej1/ToupckiSCIaPccHC94ZL4ZBjGGJiNLggsQhhGcmL3EccydjRaW6w/TjUT6x9PeS487a5ycg3xWqCcIJU8rnJvgs6ExJARXCq++2P7NS1MYukK94/Bgp5MYtE0wwQQvHmet+4os4YQRcRyjqjL5rEEQRsP5wjgR9eRDjExqZFnszbIk0R4m2qUNFVmR0TUZRZFp913qbSEKaXVdDpoD/CBOvtY15UzzwyCMkBUJQxPJX+HQtPkkRnvgxcUihy2RUD5dSo/t3fW2xZ2NFgBNBPn2wmIR1x/nUY5wZ6OF6wuDzoEd8OblpzfnPD+fT4x6q8UUiixRb1uoinyq2BOevnaO4xjLCVAUKak3Xra6u9ayx/rGmip/JQSIE7z6kGWZvu0TiFubgR2gvIJlbBBEBFGMjOh5vGRLwFPh0/UWPdvH80PqHZuN3e6ZvLeXFZmUxrXzFdEfMdXnNsR64cyxSqXC+vo67777Lj/60Y+Yn59ndlY4vg0Gg1cyfuarAsvxub3eIggjdE2obXVNuGx968Ysv7pVAxm+eW3miOx1BuI4Hhv2+EFE/0T82Ww1y5uXp7i91iBtavzeb144U1npeAF/8uN1+paPokj81tuLXFgssr7bBQnOz+WTwmrkyDGCfeJrEEKPhzsddmt9gjBmcTqLJElYTkAha4w1bSxXvG7XC4mimFxKx/MjgjBmJmec6mpxZ73Fz2/vc3ejRd/2mC6l0VXlhcX6nJ8v8GC7TRjF3LhQnShSv2aotUUjcnT4aPVcwjDG80P26gO2D/t4fkTf8lmZz/HGpenkQDNVTHNrvcH2YR9ZloYu3fYj99EI2bRGKWeyud+l2XX42c19Li+VmCqlaHYdZitZLi+XOWxaaIo8Fus3uneSr0+sAbIs8+0bc/z81gFE8O5rM0yV0mRS3YSkHQQR2bRG+Vijqd1z+A8/28TzQgxd4Xe+tfxUCT4vEj3L485GiyiKSRkq186XH3HQmmCCJ8FxAz5dbxIMSdrXzpd58/I0rb5Lp+8yW8lw5dxnS3D68F6Nj+8LJ6qlmeyZLkeqIjP/hP3J9cLk3ry0VOTeVhtFkbi4WDwzsvP4fR8EEUEYociPnnA0VTx/p+/Ss0RU+dJQoDhTSnN+oYhz7PlPPvbTQpYlVhcKbOz1zlz3TqLdc7m3JcQjmZTG1ZUynWGDCYSYpDPwKOYMBrZPFMdUC6mhgLOXuB4VcgY3LlSQT3n/f/vhLjvDhLE3L0/x+oXqM7+3Cb5a2Dro0el7KLIkxE2yjKpI3N9pk0/rmHpApWDi+KLOdb0QWZJw3CBxwh7dIyldpdGxcb2AvhVwZbnEhYUCnYHHnc0WmZTKudksHz2o0+46tAcuV5bLXDlXSoRaE0wwwcsDy/EhFgTq7cMeu40BzlCYoakKaVNh57DHxn4X14vYqw9IGyrf+8YCURyjKBLVUor5apZMShcDkp5LPqNzbaXM1mEfVZH55tCZ/7MgbWqcny+wVx+gqfIjEeBfd9hOMMZ8P95DmeCrj2z6yKTgwmKBtd0uxLA8l6OUN3nSKWDgBIRRlJz1U6ZKKWfQtTymy6kxYcDxvtj11SoLU1nubbUwNJUfvnt0PrDd8Wuy2/cSEceo5zAiXjtekDSb41gMAZThQHDroMfe0MQljKJkYAtwb7OV9BQXp7NJ/024zeXYGYrRUobK//bXDwnDmFxG5x98exn9FTAueZrPLggi/uznm8JpT4Jv35h9Ycm9XxTGeq/D1KWJiOPFwfPDxPDENFRyGT0hGY9w2Bxw2BICTFVRCOOYdErl0lIR09Ro1fu0ei4HrQFEMaoi0x2Ie/rd92aSx8lnDK6tlPijv13H9QJcL2BxKksUKfhhxFTR5M9/vpn05L//ztJj+9Cn9RaOr0En15LH4eRsIQgj9FPO0xNMMMEEj8P97Ra/vHVIo+Ng6AqL01neujwNMJb8e29LiGpTpsprK+UnmlqoikwpZyQOiilDI2WqFHMG37o+y998uIvrBZyfL46Rlk/OLwHOzeQE0VxXmCqmTiVs9S1P7A9RjKLISEhompKksIFErWNDDHNTmUcVtsCv3ZjlRx/t4ocx11crpwpJH4f9xoC//OUWYRiTTWv8zrdWSJun12eSJDFVSvHN67Njda4iC6Ovge3Tt33yGf1MQ6EJvlo4edZ4lvPvWQl9nhfwYKdNoyt69b4f8tvfWub2RpN2z+N8KcWH92osz+Q4bAvji3rbYWFKJHyddj+e+tqP/VwUxQRBxHw1i6mr3NtqUcqblCWJjKmd2UutFEw6fZe92oCPHtTJpDQebnf54XtLY2RFywnIZ47mnafV2SNxiiLLzJTS1IaJNxee0fDqJDp9NzHRGs1BPquB3aVzBXYbffYbAwpZg29cnsw9vgiMXN1HifCvMnRN4e0r0/z44z1++sn+RMQxwQRfAi4uFPjLX20TxTFvXZ7iynKZX946QFNlfvfb447o81NZLCegb/sUsnqS2AGiPuz2Xd6/cwgxXFkpM1tOJ/tgp++SOWYc0e4L85sRLCc4U8TheCG6qlApiLr7SXXGiCd1GqI4Jm1q2K6PpsjEMXx0v0YYxhiawrXzZfShwDIMo0TAAcJIOgyjJ54lRpAkaYxv+Lcf7LA+NKy+caHCN4bnlmdFHMfc22oLEaoEK7P5x6Z1fVl4lE8WUJmMkCZ4CaCoMjcuVLj5oAkyvH6hgiS9enxAU1OIInEMU5ApZJ+tB/AyYH2vy8D2iWPRV3642+GdFzC//qKRTWlkU59tfvLCp2O//uu/zr/8l/+S+/fv87/+r/8rv/d7v5d87+HDhywsLLzop3xl0bc8fv7pAV4Qcv18hcWZ3Of6fIctm2BICvf8iHrbToapFxdLTz1Q7PRd9hoD+raHqamoqkwuLRpxI9ctWZYoZA3+0XfO84++c/6RxwjDiM2DHq4XMlVKcdiy6Fv+8Hsxt9ab/ODdc6c2Q0o5g08fNpLY+SvLxUd+Zq8+II4hl9bZrQ9EwZfRT12wynmTWssml9YJ4xjDUFmZL3BjtZIUZydxc70Bw3hk2w1xvRBVlR/rqB2EEZv7PTw/ZLqcfixpTtcUsimdIIq+EJfuCV4uXF0uc3+rja4peF7IwlSWlKFi6ip+EIqkjZSGljOoFjNsHwiHqcXpLM2uw159QN/yMXSFfEbn7avTHLYs9hsW7b7Ludl80pibLqVZmvWEQ6wkYbkBGwdd/vPvXxobJpwbrk+WE/Aff7WF7YposVFMMhKnXtPn5wuPkLlKeZPmkPScTWuPDHZvr7eot2y8oYPO3c3WCyGZPQv26oPEKdV2A5pdZzJsmOCZcdiyCIaRon4QUWvZLM3k+Ien7IvPipsPG2zu9/j4fo3ZShpZltk66NPpu08tehrt56osc242RyaloWsynh+Rzxj849+4wMITou6P38+ZlPZEB93pUprlWbHfy7LEjdUK5nCfG4lMPT8iDIVQ7fZ6k5ly+qncwndqfbp9j2xa460rU08duzyqGUC4E3f7LgtT2cSFI22oTBXMZE0CQaIzdQXvWOOm1rK4vd6ilDdYnD6q6do9JxFwANx62BwTcQRhxNaxmmjiQPHVRxTFCfHx6kqZ3Xqf2XKGv/rlJhKigRjHEX4Qkk1p1Fo2nYFL3/bQNYUryyWREqUItxlJFnWBJEkU8wZBGHNuLk8xa7A8l8f1QiGgGvRRFJlKPoUqn022bnUdDpoWmipzbjb/VASsCSaY4MWg0bH55e0Dtg56GJpMq+uRT+t4XoiiyMhyiKmpRLFwuQpCH8eLqeQNtg96XF4uMZsWSXbSsD7PDJtGhaxBu+eyulAkn9GfuMc/LRamso99rP2GcIxNp1SWpnMvnRvU54l8Vh86a4pC40Wkn0zwaqKUMyldebbPP5cWPazOsM+2PJdnZTaP5QQU8waHTQvXE7VoKX9U//csj197fZ5fe30eAPUYqTCf0VEVOekNLk3n8If/ThlqUpeDWD8ax+r8W+sN9us2lYJBFMWJUMNxAwZugOuGmIboZaUM8b2dWn/MRGW2kkkGqH/2s43k3ugNPNZ2e1xZebFCh4/v19g+HFDKG7x7deYLS784aFkJqYYYbj5svnIijkJW5952C9+PqBTMM4foEzwfUoZKylAT0kE5b+IHwsk9CCJmKmmyaU2IM2Uhzry4WOTqchnTUEgZKuW8Ke7lGKIYyvkUV1ZKRFFMvSNmACMzkiCIKWYN4linO/D48Sd7/P1vrzBbyfDpWoO+5dMdCPLw3320w3/+/cvP9H7KeTNJbhm9t6eBpsj84tYBURRz/ULllTx3NDo2tZaNPhSqTQxgJnjZsHXQ49O1Brqq8M3XZhKB6eeBvfqAds8lk1JZ/ILqfs8P8fwoqVl8P6Rn+bhDF/y0rnLYtGj1nKNevxPQ7rtP1X873iuFo/nHVCnN7//WRUDMOj952EjqstNmJKahPtHQpZg1KeZMml0Xzw+pFEw8L+T2ekucK1QpST40NYX4GFs+jGI297s4bshvvLX03KTeW+vNpD7rWz5rux2ur46LDEdmAwM7oJgzmKtmHqlzVUXm6kr5uV7DBK8uTp41ys/pPjoGWcYZ9t+jKKLesTEMhb/3zXNCPAQQi7RwXVOGYghH9CBMbeycdBwjjoLjin58uWAmvVpDV0gNCaWmrlDI6FSLKVw3EEKsMwiSkiRxYbFId+AhSaK/OtBkbq83+e6bR9yYcsGkZ4kznqrIp9bZqiKTz+p0+x6FYX/38lOagX1w95C9ukWlaPLu1ekx086Tc5BO3/3MBj+yLPP9d043Fpvg80NtJOI4QwD1quFb12eFiOPmHv/sd69+2S9ngrpGBG4AAQAASURBVAm+khjN0HMZjYWp7NgMPYzhe8f2qjcvT/Gbby2e+jiPq/OCIGK3Pkhq1nbXYX4qQzSsLxemcnQHXsItOjebozFM5pBlicIZacUAubSG5fo0Ow6qIvP21POJHwAWp3OkTZUwjFBVmUxKS2pgd+gEPzKvUBR5rD8r+v3Pd+7vW14i4ABRez+viMN2gyRFjFh8vjHQ7DikTZXFmdxnFmq+CJRyw35RDJIExWPJLq2ew/2tNve2WhRzJu9cnTnTVHSCCV40VEVmdaFAz/KQkFhdKL6Ss0s/iDB1Mf+RZYl6x33Cb7x8MBTo9kWSo6a8mkKUF4UXzg7/b//b/5bd3V3+9b/+17zxxhv8N//Nf5N874/+6I946623XvRTvjIIo5i+5aGpMmlT468/2EmIj3/T3eGf/MbqYyPLn/j4YUTf9pPHPwlVkU58/ezFhR9EiWNN2tSI45iV+TyVgoj+una+jOUEpAxVOHojGqcnX9PGfi8ZaHYt7xE10kg8MWp2HG9i2G4o3F8k4TxsuyG5dMRObYCuKcyU08lgNpvWWZyRWJkrMFNOnzpEWpnLk8/ohGGMqkj4YUwxZ5wp4AAwVJm9vgtxTLVgsrpQYLaaRlUEofO0313fFUkHo/f8+oXqmUOtB9vtRNTSt3zevPR0MfRPQhRF7NYGqKo8Sfd4CfFgu43vh1w5V0T5zQs83O4wW0kzU8ngeiGNjkh6kZAIQkHwrLUsdE2hZ3koioTrBSJ5gyPxQc/yRKoN0LNEM3FlLk8YRsiy+LcqQ0pXCIKIg6bNwPYAiUxKTZyk/CDkz3++SaPjoCoSjY7ND7+5BEjIsvhfq+skwq7T4HgBlbxJNqUhyxKVQuoRorXtBUkT0/XDL8Wx9uT9pk2GsBM8B06ShF4UIWHroCdcLIDOwMMPImYrGQxdxtCfzrXSD0LubrYSt00/iLh2vsz11QrNrouuyo8lGlpOQK1lUS2YlHIGYRSfej+fRKWQQlMVbDegkNHHiGKqIlLCWj2X7cMeYRjTHXj0hnumaaj0bZ8wFI7Exw9Shy0rEUr0hs510+X0qWuR4wY4Xkg2raEqMqp6oj5ShTt5tZjCcgKmSynubrapFg1mqxl8P2SumqFn+cxUMmRSHp2+R4wYftjDpISR44WuyUgSyYBE18evg429bjJs7loeKUN9osutH4QM7ICUqSbCkgleHUgSCak3jCKCIMYLQiw3FM5vUUTfkvjG5SqyBJqmsFfrM11KEUUxG/tdfvOtBe5vtTF0hWsrZdb3e+TTGrqmUCmmSBkqmwe9pCY4bNl4QZikeJhnrBWOG3Bvu50450VxzKWlV4t0OMEEryJG6/qf/WwTP4jwg5i9eo/poklEzPn5PLqmMHB8BpZPvWtz2LTwAuHkvdewyGUNOn2Pt6/MIEmCQHF8P7m4WKTRcYgRiVJfBFpdh839Hn4Qst8QRI7l2fwX8twvAwxN4fpqhU7fE+SPLzhdcIIvF5bjUWs5lArmM7kgdy2PVsdhqpTmh+8s8Cc/3SKT0lieySYk6Z7lcWGxIPpYqjxGvDk5SFQVCcvx8YOIbFrntdXy2DW5ddDF8yKWZnNEUUxv4GEaCqsLBYrDOr/VdfjFrQZeEHLQHJBNa5ybEfdyEMXkTA1NkTE0JSFtiec++/xzsm9mGC/2zL222+HDeyKxsNGxE3fPLwKGJp/4+tWr110/JJfS8bUITVVwPNGbOavnPMHTodN3afdcZipprp0vU2tZOF7AdDnN7Y0mO4d9VAX2G31mKxneuFhlrz4gly6wNJMjiiMKadGDrxRSvHV5is39HiBSfVtdB01VhmTeHqtDt2ZjmHLTt/yhKZLC5n4PQ1MwdZWB7Sd9uP4g4LBpPZOD4/JcnmxakB7KBZMojun2xFpiPiZhZ32vSxwL8sb2YX+4pp3eU/D8EMsJSJvqY3v2XyQsx+fBTmfs7DRxDp7gZYLlePzthzsJIcn5IOQffGflzJ8/2S97FjS7DlsHYj3qWZ5I7XlO0bjtBrheSC6tPZEgJcuS6E3mDTw/wtRV5ippMoaC66pk0xrre91HeiBnvb92TxhklQsm06U0qiI/sVc6cIJEGHvWz7S6DvvNAdOl9JniEVWV+fvfXub+Vhvb9cmkdHrDvmjP8sia2lDQH1PI6KjK0XvaOtb/6Vkepi4Phf8S2bT+1HWpebI+G/YwoyimN5xtt3ou+42jmtTUlYlY/WuC7mBIXjyDYKlryiNnjZNwfdH7HM0dn3S/q7LoZRy2bZptm0LGoNtzsezxmaGhK8SxqLsXpzNEMawuFM683zZP3DOvrVaQJeHyvTgtSI9xHHNno4XrhUPBq8viTJa9Wp9qIXUmydDxguRv5fohg2Np4+2eg+MGLM/lAOkRLsJo9iFJMFtOo6sKskxy9noS7m+1+ORBAxBnIENTePPS1NHf85Gz4mTu+apidP1OfUXMB9+9NoMswdpu95nPIhNM8FWGH0QMbP+JZ+sn4eQMXVOVsX1MU2TcSIgmJYlnJv+P+o5pUxhAjwwuNU3m9dUy7b6f1MmWI0wkMimNXFonn7Zo91zmpjKYhjrsk4TMVTJjPAvPF/2pTEpHU49E1k8Lzwu5v9NOTDHOzeSSFKlcerzPpSryWC/10lKJjX3BtVqezT/C+3xaqOoJvsBn4I0oigwSST/C8UM29kZ8MMGxPPcZ5jAvioeQz+hcP1+hZ3lj8yrHC7i/1eZHH+/iuCG1lkN/4PN737/4mf4uE0zwtIiiiI39HgPLR5IkNvY6X7ix9IvAbDXDYKtFGEWkNO2VFEI1+h6SLMHQO3c0A/s64oWLOMrlMn/wB39w6vf+1b/6V+j611MxE0Uxt9ebDGxxWF+Zy9O3jw7uYRgPBxHP9/cJw4hP15uC+CXBhVOaE3PVLI4b0reFc8PzuLH4QZg41siShKopY+70ubQomj5da+L6ITuHPaaKaVKmyup8IYlEdbxjDZZYuPFdWiqyfdgjl9F5+8oMD3c6Y3GQI7dgxwswdDUZQNmuz5/+rJYcWK+vVrh2vszDnQ6+H3FuNvdYwYIkSc/sei1LEne3WoRBTClvcHGxQGfgc9iyqHdsrq2UE8fTEU6+Z9cLzxRxON6Rs3cUxfjB08XQPwl/8YutpMF6Zbn0Sm5CX1X8ux+t8dF9QTCYLqV4/eIUlUKKIIz5+af79AZivbi2UmamkiEIRCPv+LUirimNYs6gb3kYukopZyQuUCM4XiDWjLWmEEhIcGGxyOZBn2bXIZ/W+bOfbzNXyVApmrx2XrgtfbrWYG23g+OFVIsmuqoQBDEpU+HBToe92gDXD1mayTI/lX2EoHU8qldTxQDktEPgubkcD7c7dIfF/NLs55tSdBoWp3N4QwFJpZCaDCImeC7MljMiUtTyksSqF4HREABEOlWtY5OxdVYXq0/dxHG9kK2DXhIp7vkh186XH2ncnIa+5fHvfryO64VIEvzmW4vPlCaWz+iPHfbMlNMcNi3sULy2OBYDj2bXYXvYZMpndK4slxLRyPF1bq/e57Bl0eg4TJfTrMwdrUXH1yFdE+vQ8myeMOwI8kzpSPhxfr5At+/xr/74JgNHDLKvLpdYnM7xycMGs+U0XhCSS+vEsXDXHglLju/5aVPnW9dn+ehBA02R+PaNubH3fHwdH9UHj2v6OF7Ap2tNgkAI8a4ulz5XJ8UJXjwkSeLiYpGHOx129voU8zqNrkPGVBk4Pls1C1WR+Nd/dp8gjIbXk0jLAmj1ZP7yl9tEEeQyGovTOZZmsvQHvhBRhzGGruK4R9fWTDlNxlRp9RxRa1+dOfW1uX7IMTPH8etzggkm+FzguGJd9/yAjf0e1aJJHMfIkkQQwsARzinNrs397Q6OGxAEEWEUE8URsiQThDEDy6eQ0chl9FMjW2VZem5H1ud+b0PS7/ZhnziOsVxfCE9fEvLlFwFTVzHLk3TNrxs6fZd//9ONYYqOxPffWXoqI439xoC//OUWYRgjyzHbB/3EPeneZpv3rh/1cMIwPpXYkE1pLM3kOGgKo5N0SkuIPJmUxtWVclLv79b77NVFj8hyA/wgJAhjJAkunyslvbL7W20OmxZRHCNJEtVCCtMQ93HaFGeekVttJqUShHFiGHEW3r02i+2Ks9LSbJ6VudMTwp4Xx89MAL3BF+dCVS2mefPyFPc2WpimyrdvvHq9N8cNk75mFMV8fL8mDD4kOD9X+ML3k68Ctg96/Mf3twXBUFf4nffOUW872G7A2m6XW+sN+laA5QjDg+sXQnZqwtX+sGVze6OJLMukDZVvXJnit95e4rVhsqXnh8xUMmzudZEVidlyeuxMujST48pyiffvHFLI6lxaKgJin15dKDA/lcFyAzKmyoWl/HgP+ykxWi88P+TTtQaeHyVryVkixoHjJ2ffIBDnnqz66NnWcvzEHV5RJK6tlF8KMdHJs9PJ/usEE3zZGNhBIuAA6NvemT/b6jqJoYOhK7x2/tnScU6uG8/bS2h07EQcZRoK189XHivkUBWZS0slugOPe1ttynmT77wxj+0GBMfee7WYomt5OMNe/2nr0sZelz/+0RrdgUhB/eG7S7xxaeqxvdK13c4xIm2KmVMST+9vtfl3P1rDcoUQ7XfeWzkzfczUVW4MEzs29ruJ0RvAXDWDF0REUczidHbs8zn597+90UrIYWlT5dOHTbxA1KU/ePfcme/nravTDBzhzr8wnePiokh4unVstn3Sv2fSN/p64OS1fla67+POv33L4/ZGiygSQvS5apqtg36y7lxfrTwiKpBlmd94a5Gf3txDkeDiYglZlonjmOW5PPt1YVq4ulCg3rbZbwzo9D2qxRRrux00VT5dTHLiut0+6NIdzmBdP+Tqcpk4jvGHvZdm18FyfH51u0YM7Dcsrq9WeOsUkfjidJaZUpp23yGb1lmZLwJCbPXXw1owZSj8g++sjPVGdmp9dg7FXMP3I0SAhsRcNUMcc+bf/Di6x9YMIBHpjnBuNpf0mqdK6TNnNBO8/Ki1xTn+q5LEUcgaXDtf4ebDBj+9uc9/+uurX/ZLmmCCLx2uH3LzYSOZBV9ZLj13SuppXKHjuLBUZG23QxTFLM08W8LkYctKzGTTpsp3bszxq7vCiPKdqzMYusZM+ej8nja15Dzf6btDcwfRH4iimE/XmoCo33/nW+eSRCnXD9EUmdIwyeFZ+hZhGPI//YfbCTF4dSFPGIpZbc/ymK1mKOUMBrZPIWsQR/FYL9U0lCQxJIpjHDcc430+rfDM1FW+88Y879+tocgS37r+/P1CQ1M4P1dgt9ZHVWWyKW2M+PxZavQXzUPIpLRHuJOeHwn+x/B1BmGIF4R4XoB+Sl9oggleNLyhgX13mLLjeCFBEH1hSd4vCmEYYblC1CZJEdPFV0/E4bqB4KHHEEZiZv51xRc6Sc5mn8955auAnuUlGzkI5dD5uTx3NlqAIGEWs89PEu4OPCHgAIhFA+GkMEGRJS4OhzTPC1MXTi9bBz0UWeKNi49GADe7DkEQYTsBjbZDveMwU0pjaHIi4qgWU/QtnyiOafdcNve7zFYzvHd9FkmSCMMoEXAMHJ9f/eSA+WqG11YrzFeF+2AUicGypsjc3WpRa9rExOw3xKB6cTr7WKfLTt9l+7CPJIni6nHDn0bHZm/YDFqZy3N3u0U2rRNFMZqqEANBGLGx18U0VCoFk/Op8YbKVCmdqF8NXXlE0Tv2s8UUe/UBYRTRHXjc32ozXU5/pvSMTv/IIQfg/nZ7IuJ4iXBzrZH8e22vy+J0npShcH+7zc5hn+lhkszGXpff/8ElQLhSfbrWYGD73Nloks8aXF0uMV/N4niBUNXX+uzUBnQHLqWcQcrUmCqmxJrhBoRxTK1h0bU8FqaylPMmjhcgS1Bv2/Rtj07fZaqYJgxjpoopbq41cNyACwsFpisZ7m+1CIIoaQjeWm/y00/2UFWFuWqGi4tF3rw0Ra1lJ8MDP4ho9dxTBwYzpQxvXp4iigTx4/MuNPwgYn1PiFOmiilmKxk0VebK8iTye4Jnw9ZBj3bfJZvSWJ7NI8vSC3Fh/PhBnYc7HTKmxnfemGdpNsfNB8IJ1w8jLswXKeUN4lgcrJ9WyBFGR8PMY/98Itb2usmhOo7h3nb7mUQcT4NCVufeVosgipkrZ8imNG6tN9mt9UXqR97k3Gwu2bsrBRHHKZy+LWw3YGOvx6WlAudmRDzr9mGP3dqAlKFg6Cr1ts1PPtljqpRmZT6PqascNi0+flAXzY/5PLfWGgyG9dXA9vjofp2B7RNGMeW8iampVIspblyocmu9maxb5RM12MWlEhfPSDOYKqaSGtHQFXIZHdcPWdvt4AcR89XMWE3X7DiJi0kUxdTa9kTE8QpCkSUcT8TdDmyfbFqjlDfRVIXewGfguNiuj+2FGKqMIiv0LY9m12W6lKbVddg+7NHpe6RNlYuLRZbnCixOixjkviUGlqO92dAU3npr8VQSRhjFrO92sNyAQlrHNJREAPJVGQRNMMHLiiCMeP/OIVu1Pvm0TiVvMrB9MikNyxGOppIkEUYRm/t9+paH7QrCYDatIcsqURShazKeHxLFkDZUPrh7OBwGwLdvzHNpqfjEtKynQavr8PH9Oj3bY2U2z5WV8thQx3L8ZPCyOJ2llDPo2V7isp02NZodh7nqJBVygq82Hu508Ib1chjG3N9qn9nP6Q48tg56SBJsH4rUWi+I8L2A9b1e4tK2sdfhvRuzEAvntuPx8ycxV80k99nPbu7z/p0DvCBiYSo71is7ONYj2q33SRvCMCWOxdlmtzYgimMUWRKEvRgkYmYqad64KBxd+5bHrfUmcSzEYufnC0mN7gURf/3+Nq2ey3w1M9aDSpsqf//bK6e+fj8IWdvt4voh06X0czlILc/muLXeTAwwVheKz/wYcNQ7lCWJ5bncWO+w2XXEsFQRvcLjKYOvX6jy+oVHe6Yn4XgB63tdgiBi7kTd/zgMbJ+NfbHeLs3kXjgB63gdGUQR8mgPieGgOZiIOJ4D97baxLHoQdU7Nn/ykw2mSmmyKY12z6U78OkNfFo90YtLGQquHzFTTrNX73HQsDB0lYGm8MtbB+TSOoWswZVzJRRF5rBlcdAcDPvlUtKDH+Gbr82yMl/g//eX9/i3f7eOosi8c22GK+dKnJvJ4foRmiKjq+pjr8Mn9dNbPTdxxIxj4RJ8Vn9+ZTbP+rBXPl1OnXmurbXthIgehjGNjvNSiDhyaR1DV5L+yOTsNMHLhlLOpJgzaPeEkPH8/NniysOWlYiSXC+k03cfWUceh3LOFPOsoRi0Uni+WedB8+h1OG5IZ+CNJY6dhlLe5O+9t8zfe285+W/NrkO77yZ1U7UohBsb+126A4/uwEv2zt1an0bX4eP7Nbp9FyQJ2/H5u492CeOY1fnCqetYGMUJqR3EenduNo8iS9RaNvvNAaoic3ejiTVMG+j0Xf76gy2W50Uf9fZ6gw/v1gmimJlyetjbyZMyVCp5k1rLTnqNSzOiDvEDQej70cd7lHMGb16aSuY9nhdy2LLw/IjpklhXP3lQTwQtYRjzYLs9VluJ/cPC0BRW5vJjf0cQ89njs+0gjFAVmTgWKbOlx9SkE3w18Lhr/VlQa9uJSWQQRDzY7iSJwaP747QaZGkmx9JMjtsbzYRkVS2KJIzj1/LSTA5NlZMZ5OPqkGxa428+3MFxAhZmsqwoR/P8vuVTa9s0OjatnoMEQzG7OLvFCGHTr24f8JOP93j9UhVZkkibKtmUTrVoYLk+7YGHJEmUh/fIva0jcZXthqzv9XjtfCU5D9x82KCQ0Wn3XaIoFmIXRWYqTFFr2cm86XFYns1xZ6OZrMUXFsZ5CrqmcHVlMvd81WG7Ab2hYOerdC771vXZoYhjbyLimGACTpkFt+znFnGU8wYfP6gzsHzSQ4OX45AlUGWZSIqfeX8/LhywnABDV9CG8wJVefxj7TUG7NYGeH5INq1z0BgkBOp626bZdagOeUL5jI7l+NRaNpoq8861aX780S6HbZupYop3rk6zsd/D9Y/4PiPs1gdjr/P+VodyQcxhVFXmUgyXjs3wPx4a74JITK61gqQHsbXfwzBUlGGf7OAZ04POzxfOFGbGsUhV7Voe+bTOudncY2c6U6VUsg+4fsi9rRbNnouhKawuPFsKx+j8oqsyhq587jyETEojZapMlVIcNm3SpvbYvtBXDadxil41jK6Z0TnyZUnNfRaI1F9RU6XNV+/1A6zv9ZJQHj8M+Y8fbPFPfvPSl/2ynglpUxO8tRikmMfOvV5mjO7rtKGyMl945v0UvmARx9cZuqaMxVnpmszrF2eZqwj3lHLepDNwyWd04Wz2GHQHHn4QUswaiQvNyQXxRTpbbux1eLDT4cJCgfmpLBJQzpvIkmi6lAspilkj2VhGzx1FEe2+Sy6tM7B96kN1KsB0KU0cxTzcbZM1VTw/4qBhkTJUihmdjf0urZ5DKWdya605jFXz+ckn+/zj37jAjQsVQW4xNSw7YHu/hxfEguzmBgxsn3tbbd66Mn3qjRFGMfe22knD6N5mmzcvTz3ycyAKnuPR6A93Onh+RN/yiaOIIIzwgzBphru+aDadxMgB2fVDCsc+u9MwGsA+3O2AJOF4IZv7PdKmljSXwyim3XNQldOdRE7C0BUURUqGXmnjyx92TXCEtKnRGzpFqopMSlfYb4jBRxjHtHoOuppO3C0BUobKpaUS/+ZvHuB6EZ2ey4d36/z2t5bYq9uUcybbtT5RFJM1FT550ODbN2apFFLs1Hr0hu5T3YFHIWNiGgqqKgkydMOi3hbPn8/puF5IIWNg6uIeVTWFhZkMYRihqwqKLCFLEs2eQ6fvDu8BQSK1nYBK3kTXxq/5s6LwsimNG6sVBo64x80zEmteFDb3u7S67vDfvSS+8Tj8IKI7EIeer8vhYYJnQ71ts7nfxXZD2rqCpsosTn82YUPP8tg57PH+nUNkSaI38PjpzT2+/84S//C7K+w3BvBJDEi4XshBc/DUj61rCudm8/QGLooiP1NKyEl37/SJe3QUPwhicDByyXgc+paH64fkMwaaKicpOEEYoWkyXiDEnaPkkL3GQBBCR6/B1LhxoUK75/C3H+wSxTGuH/Kru4ecm81x2LIwdQ0vCGn3XeanMuw3LRaqWbp9j7WdLudmc3yyVufBZpt8VkeSIJc9ut8dLxAJRGE0HASL59dUmcxnWLemy2nSx+oDVZG5v9VM3IMf7HSE08dQnHOy5jv5dRTFtPsukiQG9s+L7YMejh9wbjqH/hlieic4/TO5u9mm3XeTvX6uKpLrsmltSDiMCULRJPPDCGIoZDWWprMMnJCu5bJXt4jiiCCKubPZppRPoakKlaKZOM2lTBXH9YlicZ8Vc8YjTb/dWp9GR9TpthOwMpdHUSR0TXnupvCXhY29Ln4YsjJbeOXcMib4emLroEff9rFsn3bXYapospzNcX4uj+MG7DUsBrY/JOII4s/oPBeEIYEbo6oS5byJN3RG2msM+Mkn+8mZ9Ecf7pLP6GODi1bPIY4ZO8c/CZ4f8tH9mnDKBCynSTqljQ0d7m21EyLjva02b12e4rWVCg932hiaEFGePBNMMMFXESfdxdInk1rdgIHjkzJU7m21kvt6Y6+b1Lv2ULAtDe9R2ZS5sVrBdgNyaf2xgxHHC9g+EGfb2xsN2kOy0/3tNr/2+lzSQ9I1hXbfJRyS8ZRjdftefZD8XN/2eevKFL2BTz6jszB1ZNKTTessTWfZrvVZms6OEas/vHvI5vBccGfgDZNsTxc2H8fGXo+ffLxLu+dy7VyRX3tr6dSEocehmDP5T757nv3GgFLefOYEXhBOVnc3W3QHHrIk4QUhb14SvUPPD3mw3U6IWA92OlxfrSS/O/oMUqY29vc6ibWdbiKWOFn3Pw53N1v4w4Hqva0Wb12efqEDv6lSipSp4noBqiInJkTw6PljgqdD2hSf60HLwvND5qsZ9up9VudF3SpLkDJkGh2GBg0ijVLVZJAk/DBCi2JsP6DWjnDckDB00BSZuWqGjb0upYzOdn2A5QTJGd9xAn52ax9VkdBUhd16H9ePcAYuv7p1gESM7YYsTWdx/ZBSziCT0k7tO4dh9Eg//dK5IrYbkE3rGJpCHMfs1vuYukI5n0J7zL7/vW8ssDSTI4pjlqZzydqYNrWx9OqTc46X5RpUFZHu2elP+oUTvJxQVZnf+fYKm/sdTE19rAGLrinYXoDvi3TYZ73PTEMkSPQtj5ShPrfQSjzvkRt+3xLGFWftjaetVZ2+y26tR9pQ6Q1c2n2bg2aKettO9s67my3evjI9NH0R55sgjHH9CENX6A37J33L45e3D3nn2gyFE4JJWRLrwKh3oypiLbccn7W9o3niwBFmMH3HR0as8Q93OgD8/NYh9bZNu+cmQgo/jHj9QpVsWj+117i22+HTNWEk0+m5SJLEd96Yx9RVPrx3yHQpxcZ+n73GgPOGSialc9AUe0PKUMfWV8vxE+dk2wlYp8vlc+O1mqbIyWzbDyJUVeL8fB5JkpK1f4KvNs661p8VJ9eVtKGOJeacte7EQzPIUs7Atn0khNHF1kGPpRPr2qM1w+l1yMOdDoosYegKe7UBYRgxV80KUclQQA8Sxaxw5X7jQoW+7VNr7RAjsVPrIUkS97bb1NoWqwtFsmmN+WqWTx/Wafc9ZCQGdsAHdw9Zmctzb7NNFIbkhoaemeE6OToPRGHM/pBgqkgSkiJmrhJgewGdgfvEXn+lkOIffuc8tZYw+iwdE8ENbB/He/JZcoKXHyMT1Iz5/Pvty4hvXZ/l//VvbvLJgwZ923/mHsAEE3zVcHIPe5aUvJPo2wH5tI6uypi6iuX4Y2Yg97fbibHbva0237g89dRpHIamJGbTcRzzs08OiIeF8H98f4d/+sNLZ/IEWl0n6Ym5HRv5mOhDkkBXFZpdJzF21jWFUl7wCG6uNakPRaa9gUd34FLOi97f5n6PbEpLzuj5jIYsHRla6pqC4wUcNPuUsiZBGAnxZtdhqpRG12TsId1PkcA4dhYxdBXiiK4VoioSheyT+wBbBz1cP+DcbOFMfhQIQciDnXYiODd05alNni3HH/L/JAxNZmAHVItP9atj5xcb8TkenyPrmvLC6whFlnhtpcx8NSN4oqbK0mfk1bwqqLeFgTiIM9iL4BR90Ri7Zs44R77sUGWJQsZI+D6FrPFK8go8PyQa/jsIQZweXi0EYQTi/5CjGMt59dI+R8EAIO4JXVMeOas+DSaMrC8IKUNldb6QpESszAnl4+JMjkbH5u6mGIZpqsyNC5UzhRy79T7bQ9JEylB5bbWCIktkUhorc3kOWxa6prA892IW+dvrDf6HP76VxJX//m9dRJIkcmmd/caA/aaFIssUsnriWl8ppLCcgDCJW5PQVWXMueewZbGx36PecRlYPsuzORRFxnICfvzxHr2Bh+cHOG6QiEaAZBPIl9NJ49ZyfLJpnXpHuHikhv9dOFVEKPKjf8swjJKBE4AXnL0I+EE0Fo3uD11sHm63CaOYQt6gUkzTtwIGrmiEniWqyKZ1njaPppA1SBkqvh8l/80fvs4oirm11kiG+3PVzBMXAFNX+d6bC3x4r4aqyHzztZmnfCUTfBH4x7++yp/9bBM/iPi11+fIpDQOOzazlTSVosn2QY9K0eQ7b8wlv2O7AXc3W+zWBtQ7Qn2fMlRsJxwSgkXsVN/x+fHHe0RxzMZ+l3tbbVYXioRRTKPrkE/rTJVSqIqI2utZLnuNAdu1Pp2+SzFrsFcf8Ps/uMiH9/t0bZ90FPPRvTo3Vqssz+XFYUwCeUe46DhegOtFgngKWMPkDj+IsNyAct4cayCehGmon7t4Y4TR8GYEzx9fD4Iw4tOHDdzhf1+Zzz8T4X2Crwe6A5eNvV7iylTM6p/pwHXQtNjY67LfGFBrWUyV0siSlDRRsmmdi2mdg6aduG0+CzFJ1xQuLxXZGcZsrsw+vSPD+fkCrZ7L1kGPUs7gravj+8lf/Wqb3ZooUtd3s3z/3aXHPl6tZbO22xm+Lpnrq1W8IBobKnpD5wzPD5MkjpNEdFNXKeZMygWDTt8Tjlc9jx99tEuz6/KNK9NUCynq2OiqTCWfSgh2XhBSaw/4o79+iD0kn3YHPv/8915nv2Fxd7OFLEssTmVRVZlywSRtapQLJvNDUtZnWbdO1gfu8XUoFusqwz5QtZjCdoPEoWHuRAPn3laLzjFXstUTjltPg1/dOeTThyIh6la2yT/4tfOv5MH1ZcHJz2RlLk8QRkhIBFEk3LPsgNcX8hiaStpU6dkucSAGpWEQI2kxiirOELfWWwRBIA61kkQYRPhhSCaloakS5+eOHLCzKY3dWj8RG5cL5iMJQe6JfS+KY6YLr94+95NP9ri/1QaESOZ3v738VCKyCSb4MuH5IaahYrsBjY5N1/J458o0lhNyebnMva0OD3c7pAwFUxfC6UgWY5CBHaIq4DlQ7zgszeSEi7flEUVH9a3jB2P17dpuJ3HRzGd0riyXniqlQ5gXxGNfn1w/jj9PFMUEUczyXB5JEiTwYtZ4LiL1BBO8arh8riQIhPUBlbzJG8cSGfq2z+1hglsUx3hemNSQU+U0iizIPrOVNDPFNOu7XVRF4rtvzpM2tSeSNBwv4I9/tI41dEzu2z6mrhJGEdmUlghGQAxaW11H9O+mcyxMZ2n33YRQNEIurVMpmlhOQDaljQ0Q9xsD/vwXWyKhb6vNb793LnHJGzlZjZAkCD8Bf/yjh/zqTg2Am2tNVpeKZJee3TF2dGZ6XvihIIeNem+W4ycijiCMOKYpH1v/PC/gT368Tn/ojvr6xWryeyfhPabuPwtxHCe9FhCu2uHQpftFIpvSEuLMynyew6Y11tOe4Nnw1uUp9psD7C2fbEonjqGUT6HrCpeXSkRxxPa+SJ7UVRU/iIljaLRtsimNS0sFbDdEliRKeZNRmesFodiT3YBf3avj+SG79QFLs1murVT4f/x/P0ySmVOGAkhoqoTjCQKk5QTEQ6d6Q1dBEnv47fVm4rw+6juHQ1foEVo9h08eNmDoxn5hscCPPt7joDHAdgOur1Z45+r0Y/8uy8PryXL8hJQsSXB1pZwIymfKaVwvFG6UGZ3pl8hxWFXkSW0zwUsNXZWfSkCZNlXaXRcvCJEkabhePBsMTcH4jPfD8myeOI5pdh0cN2C/YXHYsnntfPmRGui0GVnKUPijv13jsGXR7Ni0eh65tMZf/WKHb78xy2w5m/xuGMVjc8GLC0WIYxw/JG2oXDpXYudwQBBGGJrCleXS2IxTkiQunyuyeSAEq+dmhFPuyXnipaUSKVPj4/t1KgWTqytlPD9EGpryxJHgjcRxjOMHY/PA03qNjjc+23Q8MQMSQlCNIIyYn8pQb9ukDJVvXK7y//nTBt2BT8ZQKRePZjIn5yInz3ej13BhocDGXpe9ukW1mObhbpdLS8WJgONrgrOu9WfFXCWD54dJb2CummF9t4vtBUwVU2caydzfbtNo23xwr4bjhbS6Doamcm42x6WlIt+6cTQzLeVNFqazNLsOGVNj4Yz5jOUIs6Z2z2W/YeEFIc2uy3uvzXBuNs/DnQ5xTCJWurBYYH2vy5VzZXbrfWptMV+w3QBpeMOP7qf2wEWRJRRd3B+fPmzwZz/bJIhibMfnnaszvHVlOqmBRueBuWqGw5Zw8zZUBWSxVjU7DumUxr3NNlOl1Jnu3SMUssYjHIVm1+H+djtJJ7q+Wpncv68wRj29qa/YnHp+KsvSTJatgz6/vHXAb769+GW/pAkm+FJRKYhZcKsnZsHzjzEIeRI8P0TXlIR8/2hP/6gmHNXJT/CdTrAyl2edLp4fUi2kuDec0YHocQVBhK6fPqcr50wO0xZuEJFLaVxaKvJgp4Pnh9y4UGW3MUhSuHRNRlVk8hmxx9U7zthj9S0/EXGASAceoZBN8TvfXuZnNw/QNZmFqSz/45/cwg1idg+F0fTabidJmvvBu0tIkoTnh8xWMpi6ktRBC9UMHz1o0BoKyZ80g//Zp/vcHRqj3F5v8bvfXjlz3r5XH/DL24dJEl8pbz61iMP3I1RVJq/qw/f/9CTok+eXdEqjmDUSHoKhK9xcayR1xI3VyosRcgz7KV+3nspJLtrJM9mrgJPXzGnnyJceksT11TIPtjtIksSFxWJy771K0DQJ/9i8J/8KGswcNvpHQpQYWr2nNy5+WfAkzunTYiLi+AJRLabGmnyW4/Ngp8PaboeULoj/fhDR6XtnRhWP1PVAkjgxUskKUoVw3zzWw3sqtHsuG/tdHC+AWKQ2zE9l+fmtA/qWcIpRZImbD+p8+415Oj2X7sCjMmz4dfoiHWQkPlmayTE/lSWX1kQTVWLMeW70PgoZnW7fw3ID4SARx0kaga6phDF87xvzfHhPRJZVCimmiuPEb33o8jWwfcIwTuJXywXzTDGMrimUCybNYXE385iIs7ShkkvriQp4ppKGu7AyXyCKhNP35n4XRRYkWFmWXhjBe6aUpjfwiGMwDSVpvFhuwG59QLNjoygyURw9lYprFDv7VYPlePzNB7t0Bx7Lc3nee232Mz1es+uwtd9DliVW5vOfqwu14wX87Qc7tHoul8+V+PaN2YRwaOoqW8MDwdWVMlfOHRGs7m62+NsPttlrWNhugO346KpMPquTzRhoikTP8shndTb2urh+gISE7QZ8eK/G6kKRRttmvzGgN/Ao5kxShsqFpSL79QGSJHN7vYWmKvhhjOdHZAyNXNqgOxBD3CCMsZ2AalHm0lKJVldECzfaDsWcQa1pkzU12gOXzsClZ/lcWCzSszzWd7vcWW8mcearC4Wncps8CwPb5+FuhzCMWJzOPVPc+0w5TdfyIOZUEVZ34I0VnvW2PRFxTPAI4jhm86BLb+CjqhIpXSWK4dxs7rnSEEb7ZLWQYn2vi+uHpAyVK8vjg9fluVzivlHMGc90H5WeIKY6CcvxebjTIQgjFqezvH3lUTKG5wWJgANgp9bHC6LHOkscr23ubLT48F5NxJBKEooisTidI5fWWToWG5rP6mMijxFMXSQUbe732NzvUimY6JqKpgbUmjb5RZ1vXJ5ivprlf/7zu/z44x1UReYf/8Yq2wd9Bk6AFwhizHZNrL8/eHeJH7y7xG6tn7jzFbI6l8+dTnpt9Rw293tIEqzMFcbcTJ4WsxXhpAoi3v3koPrkfh5FMQ93O7S6Dru1AbOVNJIkUe/YzyXiWNtpJ//u9D3qHfupG0UTjMMPwkTAAVDv2JyfzzNdTtPuORALEXen77BXtzg/m2d5Lo+uyWwe9rDsEEUS8ZH1tsOPPtnjxvkK1VKKw5aD4wWEcURKE+Tub12fI3fsmgvCKBFwgIhgjuZjepbHxn6XOIZKwRTnhyhGU+Uj8fQrhvXhPQPifXb63jOtcZ+llphggufFdDnN2m6HXFrH8yNKeYOe5ZMyBMl7fa+LqsjEsahJo1iQBaMYwigijISDlO0E6KoQZE8VU1SKKQZ2gOX6FCVheDBTyWBoyti+2x14eEE0Nryvt222D3soiszqfCERPKYMlblqmkZHONiW8+Yj5+jZSiZxGynljeRxn0QymGCCryK+eUZfojk0IAGQh/XuCJcWitxHIm0G5LM6b1/N8e41QUycKae5vdHEdgLKBZOUrrJb7ycDw1G9eNCweLjdptl10FSF6VKKSkHsh8WcQRBFvH/nkJSh8nCnzScPG/hBhO0E4vuBSJudLqU4HJJDSnmDCwvFU9/P2pDgBEJMsLbbTUQcl8+V2K2L1DFDV8bWguN9nHMzuTHy1fZhL3F89oKIO1ttLjyHiONF4PjgRjr275Shks/qyTD5eK182LITAQfA/c02mirjeiEzlTTz1aP+6EwlnaSV5NL6UzmpSpLETDnNwZCYXymYn8mR8WkwXUpP+iCfEbqucmGhiK4qNDoOfhAxU0rx9pVpgjAShGVHpOLUWjaNjo0XBEiSRLNjE4QxqipzeakkkvNkGUkSn03KUHHDKBkQZVMaa7tdSjkjEXCA2PeniilqnQBZEkm8i9NZkfrVtLG9gKtaiYHtJwIOELXB0kxO9NPzJs2u6KfLssTOYR/HC8ikNKIoxrJ9cml9WNuEj02iPo5m10nWxjiGRsdJ+rGSJCVExwkmmODzQavnMlc92sseN6N8HIIw4sF2G8sRJk7Peu9qqpgz3HxYZ2OvR7PjUCmatHruI3uk7Qa0e8KMKgwj+raH54f8/OY+rh/i+iGyIpEKVWQ5Zr9hU8yKBPJ0SqPTF672e9oA1w/xgpCLS6WhQYbMbk0IOLJp8XW9bSd/E9sNeLjTwQ9C5qrZsXNRLq2TSWliHZWEWO3dazNcWy4nqbujumG2nGa33icII2QJyvkUs5XH77cLUxnW9zp0+x66rrA8V0jqldlKmu3DPhlTY/5ihsvnSvzy9gFzlSxzw8CwB1tten2PIIyYrWTGXuts+fTeX6WQwg8iXC/k5lqD7sDj4U6H/+L7lyamL19xjGZ5URSLOccz9NniOGZ9r0uj7XBvu4UsSUyX0/z6mwvJdXNxqfjYxwjDiFbXxfEEd8L1QroDHz9wMIZis+PnCBBchMcl4YG4V/78Z5sctgakTI3XzpdRFZlyXhAJD5sWHz+oE8dw6VyJSiFFOW+SSWls7/fpWuIeCsKY6XIGTZMp5QwkCX7t9Xn+7d+t4bgBjhfQ7jk0ew6qLAlyZVbnrWNzldF5QNcUrq1UuLJcSu5p1w/58G4t+dl6236m/koYRjzY6fDpWoN62yZjauQyOotTWaYfw4uY4OVGrS3q+69i7/pb1+fYOrjHT2/uT0QcE0wALE7nXohDfzFr8Oc/36DZFeatV5cvjX0/l9b48F6dOI65sFh4JqGfriljDvyrC4UkdW5lLo/+GN7CbDVD1xJcOF2TWZ7Lc3FJPJbnh3xwbA90PZEYaLuCe/jW5Sl+9ukBQSDEC29dmabRdY74Pidm829emubNS2L//R///acgSeiqBBLc3+lQGfYywzBmfbdLNq3jB9HwPJDitfOimO70Xfbqgi+gawoz5dQwHdAlk9K4sFAY64N8eLfGp2tNwihkoZrl2zdmk77pSfSGfCUAYhLe5PHvj+qypdnc2Cy3lDfYqyu4fogkQSVvcnezxcD2KeYMVubyZ4pwT55fZsqiBzjiIdzdbCWvKwgi2n130iM8BneY1ux6ITPl9BMFV+WCyX7TIhhye6dewf385DVz1jnyZYaqyOTSepI2WMzqr5yAA0BVFBhKIGQZ4lfweN6xxo2/tvf7X9IreX6U8yZ79UHC2X/es9ZExPEl4sFOB9sRw5iDpkXaFM1AUz+7KDJ1NXHhlqSjGLW+dRT76wcRG3vjcUXrex16ls/yXH5MeeUHIfWOw+31JhlTY3O/hx9EXFwssr7XRZZIFi3Pj2gNXNKGmrg+jzZ6VZFRTjjdKrLEtfMV+paHriljZMuUodK3hBvg+fk85+cLwlnaC5CkJLGIbErl9YtTzFUzOK5QusqyTK1lsd+0KGSNYSSyiC2XDYkojrm6Un4iafLiYpFuyUOWSKLU2j0Xxwso5U0MTcEZOl3PVtLMT2VQZAnLDchmdKpRRKfnIcsi9lRTFWbKaeaqmScqT/fqfeodh/lq5lRl6chtKAhjrp0vE4Yx2ZSWFHxxHFFr28RRTBCGNE4ojb9u+MWtw8R54u5Gi+lSipW55yMKjQYNo2vw/lZ7rKH2ovHB3VoyUH2406FaTCX37mwlTRCGuH7E8jHyct/y+Nmn+/Rsn07fIwyj5Jq7eq5ENiUiVF+/UOXyuRJpQ6jDZVkiCGMUVabRtVnb6xIGEfm0Ts9y+e6b82iqjDFcg0o5HdcL0DVxU3YHLrOVDH4gnPBThoqmKew3BtTbNrc3mlQLad68MiUOBK8bfPKwTiln0Oq63Ntq8e61Ge5vtekNPHbrA5DEcGZjr5uk+TwPHu50xKENeLjbIZ95+ii/0tAZ1XYDXC+g2XWoFlJJkWbqSkIgEV9Pts4JHkW944iBmyzcbg9aFoszOR5sd3j7ivHEon/roEe773JuJkcha2DoIppSVWXevTbDdDFFtZSieEIQsjido5gziaKYXPrFxguv7Xbo2z5zlTTBsGkxeh/re13xOk/cZ+pwDXGHaRaGrjxWwAFCpNizxMB4fa/LVClFq++iqRKvna8CIkWomNVJGQq2G46tiSfx3TcXKOcb5DNaQp4v5w1eWy1zYbFINqWx3+izvttB11RkCX7x6SHv3ZhBloZx5ZL0yL0+P5WlkDUIwghVEbVbJqWNCf2iKObOeovdWh8k0VQ6i8D3OMyU0+TSGn4QkUs/+dC43xwIcn4cYzm+iJjPm4+tKY+j1XVw/ZBy3kTXFLJpHdsV+6okMYmu/gxQZOEOEwxJVX4Y0R14rMzl8YOQh7sdGh3hMNnqOlTzJtm0hqkrjO6cMIbIF+tLr2eztt/jvddm+M4bs+zWBkmEcMZU6QzcMRGHMhwQBkMHAENTkGWJ+9vtxIl7v2FxfbWC54s0j6eNSRYRww6+H6Iowpnu8xC+3t9u4XoR5+cLpM2z9+BsSksEK4oikXrMz56GBztHkdEPdzsUsvqZgvAJJnhRKOVM3rg4xZ3NFpIk0bNcSjnhchRGMbqm0Ok7bOx16Q48FEVGAlRFwguOIsAlSbhaCkdtn8uLRRanMtTbDpom3CVHPYIgiOhaHtmUjmkoY/f8QXPAB/dq5EwdVZV5sNPmjYtTw+eQeO18hblKBtcPKeXMR1xhl2YEqePzqEsmmOCrAlNXafWE0UEpa/Dm5SlShoqEqIczpkocx6QNlUrewDZUdE3GD6JEMLC138PzQ7JDAdjabpeFqSyOF9CzPNEviiEIhdjzO6/P0RkIcuat9Ra1IYHn7z7axRnGU39w75CZSopSLkWn7zFTTvPaauWJ93P+hAlCPn309Vw1yz/63iqdnsvU0Dn/5sMGhiazc9hP+jj3ttrMVNJJH6eST9Ht+8SAosBMKcV+Y4ChK5RygkAuxGTGY/fqRsdmtz6gWjCZqz67Y6GmiDj7vuUhydLYcFSSJK6cK9EdeGiqPEYszaa1sd6m4weJqGP7oE8+YyT19WwlQz6jP3XdP8LybJ5K3iSGz9V4ZIIXi57l0bN9SjmDMI7JZzX2GwMOmhaqIjNbSdMZOGTTOs2eS6vnoUgSluujawqFjM7drRa/+50VqoUUhq4k59Y3LlRY3+3iugG2G+AHIVEIURRhewEyMtm0wnfenKfWsvH8kAtLRa6cK9G3fe5vtamopuj/99xE5A2M9fQvLBaYttLIssTt9Qab++La7vY9lqZzY/2z7GOuzZM9kJPn76c9y04wwQQvBildpcsRSeh578Gdw37SiztoWmTT2nM5qx40Ldo9hzgWLrKvX6yOfb/TFyZzn6436Fk+hYyO3nO5u9nECyKCKMb1hCGOPOwfXl0uYeoKU6UUaVPjJ5/sMT+V5fx8HtsJ+OBeDUkC1xM9nOsXKqiKlOzxx88+a7udROz26VoD2/WZLWeQFZkH2yLN98JigZShJr9/+VyJnjVeN1w+VyJlqERxjGmoLM1kafVcLMdndaGA5Yb0LS8hyYAQVPz2e8tCvBJEVI7VJ8d7l/mMjiRJFE/Uav2BTzYl5iibBz0uLRUTcvfUY5KOTF1l67CXzCKbHYePH9Q/19nZBF8+7m+1E1fR+9tt3r4yjTLsczY6Dp4f0ukLkdVJI6Fay6bWsnm402Zzv0duSIa8udY4M6XuJGRZQlNldFVGUWRUJcLzA2RFxvNCmh2bZtehnDeHggn3VKM2EHXYyBjz9kaLfE7H8QL8MKLdc8ikdFw/EAL3IQkvjoUQIgwjFEVmppzi/TuHrM7nmS6l0IZ99KvLIkHM0BRMQ+Wf/LrM3328S1pX+HS9xV7DIlZlwijC80IcN0jWlMedB1RFRlGkpIf7rCngu/UB7aEpZ6PjJO7qo1nqBK8mjpI4Xj3S55Pwreuz/C9/cY9f3j7AD6LP3axgggm+LljfE07z+YyOIks82OmM1XCWE5A2VcIoFukZYfTUc8KT+M4b85yfF0LuJ/XiClmD1y9Wcb2j2eRoHrgynx/bA9OmxtJsjlvrTcpZndWFIvmMxtbBgMXpDFOlDAtugOuHY7y6Efq2x/t3aqQMhcVKGlNXiCIxV6kWTHqWh+2KBOL+0NjCD6Pkv1nDvdP1Atb3hEGeH0R8cLdOGMZYboAxEJzI4yaMD3c6wkgbhHGf43PYtJBlYaxxnOtQLaaYLqeS9e/kOn+8Lnuw3aYwrMsANFXh+oUKA9vH0BVqLTuZl9ZaNpmUdqbwQpYlrq2UHzmrjHDybDjhSo1jY6971Pc97JPP6I/th5m6yusXqliOT8pQX0iqyReNJ10zrwKCQIidu0Mz9wdb7UfE4a8CFOlorZMA8xW8nkYclhGcY8kirwp0TeH1i1UGto9pqM+dejhZXb9EjC7EkVI+k1JZmMo9dkE/P19gc7+LH0bMlNPJBumH4xd1cOzrD+/V+Pi+SLK4td7kP/nuCmlTJwwjPn3YxHYDdg77lPImYRgTxeJ/MhLvXZ/joCnc+h03QFcU/vr9Hd66Ms2bl6aOYsOmsqcOGhVZOrVZcm5YuLh+KJxCh41cTdX53psL3N5oYuoK33xtZvg3Oioo9hsD/vznmwRBxGHbZrGaEUVTJCHLEpLEU7teH/+5/cYgcb/brQ24uFTg3tYRwe38fIFG16bbF65lni+SR8p5k5QxdCc1n7zJru12+LsPdwH45EGd337v3CNq2/W9bnIITxkq11crY39fWZKZr2Ro9RwUWf7aK11PRhG57vNHjkVRnAzaAcJnjbV5RrhecObXG/s9DptC4GE7QXIdjOLJdFUhbarUmgPCWAxXP7hb49s35oGjuO23rsxwf7vD5n6XjKnz2++do+f4OG6AoSt0Bh4F20+aITPlNEEYceNiFS84pN6yMXMqH91vsDyd5cJiEdsNWJ7LsX3Y58F2m7XdDn4QkUn1ePfaDH3L56Bp8XCvS7Qdc3GxQN8yefvqDOGwUQhADFEkUj0+C8bWwFisgc9S8JqGyvqQHAeC0DwSlaRNoZqvtW0MTUnWrwkmOI44hiCKiaJYXM+xuCaj6GhPPQu31hv88tYhIEhN//C754fOmhKuHzJdSj/WGf/zINj/6s4hnz5sEIQxnb7DO9em2T4YiPSOnAHDAQYn7jNZlvnBu0u8f+cQkHjrypMHMqN7yvECSjkDXVWI4pgYGV1T2NjvEoYxf73fw3GFw+defcA/+u75U93e7m22sJyA6VKaKBaH4blqZmw4ZLshSBKaKj4XJwiZq+Y4N5dj53CAriq8efnRIWQmpWE5Pp+uNRNCy6WlYuJCFsUx7985TA58jY7Du9dmniti/lkOvKOaUpYkFqazSAin5adZr44njOzVB9y4UOXXvzHPT28e4Pkhr52vPLY2neDxkGWJK8slHu522GsMqORN7my0WF0okEvraIqM7QZ0Bx4pU6HZdXntfIVG2wYkTF3G86OEqF3reHhhl29cmuLqSoXpskhtMTWNvabFdDkz5swjSRJXl0vJZ7w0kyOO47H6ZpTAcVq6zVmIophb601aXYfNgx75tM5sNSPuh+dIHzoLP/5olwdD1557Wy3+4XdXzxSG/cbbi/zy0wP8MOT1C9VnbiSO1SKx+FqbnJYn+AIwP5Wl03eptWxSukoQRixM5UQ9vlrhT36yTqPrDFM3IhRZImsoOE6YRMwahhgQKLLEf3x/B2KwXdE4Hp1VVVUmm9aIYjGwd/2Q3/jGIsrwnLlT6/Nwp0OtadNSXJbncgTh+P0mSRLlJ5CwJsK/CSZ4PPww4uGOcOdqtG1eW60wXRK11oPtNvtNC2Jh3uD5YSLithw/qQ+jKCY4tpcftqyESNjqOcxV03T6HpqikE8Z1Idkuw/v1fnoXp1o2PToDbyEb63IEt6xhrkfRk91P19bKWG7PvW2w0w5zZWV8eTAfFonn9YJgoh/+3drScptb+CSyxz1C4/3cf7r37vB//BvPqVrebx1eQpJVpJ+napIyZ69X1e4caFyqtN/o2PzH366kfT0vvPG/DMn1CmKzNXlEju1PrIsPZJsK0mn9zyLOZPvvDHP3c0WKUMlkxI92BHCEz3c5x10TWr0Vwv3t1rc22zTGXi0ew43Viv84tYhhqYgSZJId8noaIpCJiVRyGrU2uKMGUUxnhfQlyXSsXBBvPBrxbHHnypl+MalKv/2R+uosszGfo84iilmDdp7LmlTYmWuQNrQSBk+rhfS6bpsHfTIZwwyx65DSRLn3L3GAFWRx86VI+IHiGu9lDNw/ZCMqTFXzVDIGtzbapExNd4d9vVP4tO1Br+6Pd4DqRZTeEFIt++RTWuPTc2eYIIJXjwWZ3LEiN5cJZ967j3m0Tnl8/X8+5ZHEMZ4foiqymP77WHTYn2vy8Z+hwdbHWRFojfwOD8vnH7LBYPewMfUJVbniyiKzPn5Ir/x1iK/unNI2pRY3++yttOh1rK5+bDBuekszY5Dswvz1SzZlMZMKY2miAQO01BZmj4ioY3mr92By37DQpYk6m2HvVqfTpK2kebvvbec/I58yqxUUWSmSiPX34gffbiXPPbD3Y6oA2OxLl9dKSfCTUWWaHddglAI787N5pJ0j8yJ+u3ikhDr7TcsKgUTRYZgOE4Lw4g760J00uq6xHBmgkExZ1DMCUMfTZXJpbVH5nITfPVwnGsQx6IukaKYW2tNegOPn93aR5ElSjmTesfmvWNmRqPfHZ1bRr109xmuG0kSfdXtwz7fe3OevVp/aNoS47oR+awphKgFU5hhDNeclbn8mPtpq+dwb6ud3E99y0NXFWanMrS6wkRjppym3fP4dK2B74dJL2X0vn0n4L//nz+kO/AJwoi+5fH6xWkyhsZubcDijLjHD5oWP/p4l07PZdf2Waim6A08LM+nmNEpF1J88rDBjdVKIso46zygyBJXlsvsHPZOPY88CaPPIJvSyaSE4eZ0Kf3MxjcTvFyoDRN2X0Xn7ifh8rkSxZxBu+fyyUQoOMEELwyOF6LIMoou+mcna7jtw14ixPb8kG9ceX4RBzxZvHEcpq4ms7yT88DfenuJg+ZgKHgw+A8/3cDzQh4gzJklWYYY1vZ6GLpGPqOfKnj0vJD/9x/fSnhAV5ZLfP/dRT6536CcN/ntd8/xb3+yjuUInlbP8hJSfqvrCC7C8Fjj+gHlnEnf8VFkCV2T2TjoJd8vZY2x/bpcMPH8kDCOKaR17m93yKaGBtN9l4uLxeRnXztfwfFCDpsW0+U011YqY+/j+Fw3jsXXyjGahqocnZuCE+ey8AnnstPOKiMsTOeIY5FGWC6YT83F/Lrg5N/65Jn4NGgnzrivIh53zbwKiKKIj+7Xk5lK3/L4p8GVVy5p0vaOzDjCCBzv+bmyXxZSGjhHgdBMFV4cz+SLxPE1+Lkf4wW9lgmeAwtTWdb3uygIctXqfIF7223W94TzdcbUSJkql8+VEpWOpspcOLaRj1DIGGTTGn3LpztwsV2f972Q1YUC20OhBYgCZb9hEcUWO4d9/u6jHTo9T0SjLRWYr+bYq/d5sN1hdT7P0kyO77+zxPpelw/v1ugOXFw/ZG23w/XVCpfPlbAcn3tD1edsJf1UkW6icXo0PI2iiL/5YIftwz6FrMFvvb14ZqN466BHHItGTxTFWF5AxtBo911kRWK2+viopq2DHgdNC8sJUBUJ01BZnS+wtd/lpzf3cdyQmUqaTEodK2bqHZvdWj8h1U+X07xzdZr72x2iYSrB40i2x59/hDCM2T7sJyKOettmY7/Lg+0O1aJJNqVjDyNXjzdx0qbKwnRWNGSHkcxPg8OmxeZBj2bX5qBpoakKb16qPlIAvmq4dr5CrW0ThjG5jM75+ecn2euacGMaiWjmpz7f6K/XzlfYa1j0LQ/bC+lZPocti+lSmmZXEC0aHZtmVzgwXb9QpZQ3WZjOsrHXEcTx4UB3YEd88rDB//1/+jn/9AdXuHGxSqNjs7bTQVVklmcLBKFw3i3kDNKmRrPr4PkB+YzOva0WFxaKyLLE4nSOWstGV1U+uCsGq0EQcdhx+C9/eBmA7VqPO+ttPl1rEoQhKV3FH8bFNbtDJ2wJ/ChmvzGgb/v8P/+3j0VyiKpQzOnounAVnT9234ZhxL1tkdaRz+hcXCol5LIRDlsWWwc9ZElidaHAwlSWjb0uIKKqTjY9gyDir361zUFzQDmf4vvvLo6RO4OhM/oInb5HFMWJeKpSEGIzy/G5udbA84WQ7lmbphN8dVEtpChmDVwvxDRUCsN0DMcPeP/OoRBySBKKIrM6X6CYM9hvDNg+7PPB3UMkCQxNJQgi9g4HLM1m6Vkenh+RMf2x/eVp98wgjETyjeVRyBpcWCw+ci+dhdFe5fkB27U+rZ5w1ArjiNJwaHfWcKFSSI0NKY/D80PubbWxHPGeVhcK+EFE3/YxdYWMqRFDQgi3HPHfU4ZKvWOjyBKZlEbP8mj3HVRF4eFuRzhiDZsXu7U+89UssiwzX83y7rUZ6m2bX9w6QJHFmnFuJks+o7Ox100GlJ/crzFVTLM0nccPIjo9l1/cOmCummFhKkt34PFgu02tbRHHJET1ZtdJRByeLxzQW12HKBbuJT+7uTckxolEhguLxRfe4JgupUUazNCx69r58lMT2Ed7DQgCb6fvUimk+LUbc8/s7jXB6cgMh/+2EzBwfH5195C/+WCbjKnh+qFwuAlj9psWH98Xe6osy0OCn4hdjMIYSRKu+5IkXNq6A5etgy7re13yGZ1SzuS0WzxtamMJfQDz1Qy7tQEAlYIQlliOTylvcmGh8EThkeMF4v3YviCaDv9/u+e+UBHHdu0oMrNviXvrOKErimIe7nRo9RwyKY3vfWMBVZFY2+3y80/3SZsal5aKTyXsHKslCuYziVommOCzIga6lker4zBwhJPsXt1i+7DHYWtAFI2IA+Knbe9IwCFJEIWw17Bodh3CGLp94fIfhjHFnEEmJRxwW10XTVWYHw5SYo7Ou82ug6EpSV/BcUNWF4pf8F9iggm++tg6EC60ueF2tn3QS8hykiTR6Ng4XkhKV9g66LFTG6DIEu9cm+G18yIZozhM7Lm31UZVJIo5g1rLxg8ismmVxak81YJIuj3u2jbqGXqBSJYrpHX8oZFFpWAyUxLncuF0F/E///ldwijmtZUyH92vs1fvM1VK81/88FIycJRlmXevPTl5rt132GsMhHBEEn2tkaPeyT5OtZDm//Z/fBcQw9K/+2hXiFJUGdvxafddPD9icTrL+YVCUlvf32rx7368jjcUwh+vZ7YOuomII4xiHmy36fRFgtmlxeKpQhAQQonnSQ09P19I+p6trsP9YeJr7nNKLnsR2K332a0N0BSZC0vFiSjvBWOUkFvI6rS6Dne32siSuH8vLBbYPuzxy9sHbB30MDSFYlYjiiJcLyKOY5Bl4hgUWdTcjY5NpZBKzqlhJNIzTV1BlWX6A5ePHzr07YDFmRwL01l6A48HO23qbZtqMUUuo+O4IXNllf3mgO6wD3djtUw6pVPIGjhewF/8YotGx2amnOG33l7koCXmCtuHPXqWTy4t3NsrhRSzFflUwdRefcBOrY+qSDzYbrNb79PuuWiqzNJ0ju++Oc98Nct89ZQ/3gQTfM3gBxH3tloi6TpnJP36z/c5Q3qWh+uFGMP5yNNgfa9LvW1j6AqXlorMVjJ0hkRq01CoPOXw/fg8oJA1GNgB24diDngykXPUx9qvWwRRhGWJtKL9ps13bszx1x/sUM6nWJjK8F/9zhWUY8ym0bm/0bJFyrgq0x14tAeeSBPvufRtj0tL4m9eLaaw3YCDpkWn7zJXTfFv/3adnVofXVNZns1RbwsTPFVVCMMQRZFx/ZB6x+bX31zAeExvoZw3uLlWx/djcmkVPwiT+mVtp8tbV8TfLx72W0Y1RM/y2K2L1BNNkwmCkJ/e3KfVdVAUiWsrFRans4mw4xvHjGrWdjv89OY+URgzXU6RzxjEccxeY8DGfpfrqxUuLZVOdT//1vU5On1xnei6wpXl0iM/M8GXj7Vh6u/ovvwsbskLU9nEGGaqlEJTFSzHF4Y0wzVDliTICefh9147+t1qUcxZ5yqZpFaRFYlLp3AcQPQWH2y18cOI+WqG+eEZyXZFqp2uKvzmO0u83nHYPuxxa72J64f89fvb2J5PIWNyY1WYETU6Nu2+S6vr0Oq5OF5AFMXMTWVRkFiZz7O+18XxQkxdplIw2a8P6Fk+5bzBxaUireGMc7qcptVz+cnHu+zWraFzd8zm4YCVeSE+VRSZVtdlvpplp9YnjkXC0X7TwnJ9kCCX0kmbGpoqsbbTod1zuLhUolpMHb3vqUzSrxkhm9LGziM7tT579QGaKnNxsfiIcOs4ynmTD+7WaPcdFFni4lKRQsZ4hMtwvJ5cmslNxLQvOY6SOL56n5MsS7z32iz/4acb/Ozm/kTEMcEELwhXVsqs73WTGm55LsfHD+q4Xki1mBqbnxmawkHTotayURWJlbkcf/HzbR7udcindX7/B5eoHjN5Os4VPI07c3zfurRUfKyRye2NJveH+9FUMcXV5TIDx0eSJCwnwPOOxCd3ttrkTB3LFWkG1eLZ4oKD1oDDpoXlBsiSxN3NFv/FDy6zOi9S8Q6ag7H996BhsXXYIwhjZitppsvppA+qKTIL01kaHQdJguXZHDu1AX4QDc9sEjcfNrAcn0ohxTcuT/EXXZGGNVs9ehwQ/cKNvW5iJHtpqcjbj1n35qcybB8c1WWPm3vOlAXXLAxjDE0hbSp8eK/2VJzO03hVT8tH/CIxsH3ub4trb8Tl+DIwV81wf0v0fbNpjULm1RU2fJ3ghRGW7dHoiJpflo5E568SXG/8Nddb/TN+8uXFVDVHa7OTfL3wBM73ywjHCfiDf3OTrYMupZzJf/1PXqNafPb3MWGmfImYLqfJZ3WiKCZtauzW+nT7Hn3LY7c+EKRhTLb2e1xcKj72sWRZ4upymd7A4+ZaA1WR8YOIhzsdCsPmIwiCRxyLqNtOz2H7sI+qyJi6Sqvr8dblFH3Lxw8C4cAXi0big+2IKI6QZRU/iPCDowJpVPCBSLAo5cxHmgZ+EFFriViwqVIaRZb4s59t0Og6vPfaDGEY82Cng+OGWE7Ar+4c8htvLZ76Xkt5selpqvA1T5sas5UM06UUxbzBfCVLHMfU2mKAXcmbmIYq/q61Ptu1ASlDYfOgS0oXcWYPdzo82O0m6tq9ukgeOY5sShWFznDhrnds8hmDNy9N4fmCtKvIErYbJASY6ikuCKWckTgIiq9FsyQMI9Z2BSlfVST2GxYXF3UURXqkAJMkiUtLIg1BUeSniuLxg5D1/S7E8MmDhigUKxl+efuQ5dnCI83wx6HRsYXS9hSy/JPQszw6fZdsSqeYezEFzMJUln/yG6sM7IBSzvzM6sjz8wVmymlkSfpcCay2K+6z774xz4PtNpqmoCoy63tiYU+bKrWWTaPjCAJnHLO22+H1C1W+/84St9fTLE3n+KtfbbPXGNAaeCiyRBjBn/1sE12X+ekn+/QsF8sJkRBkjNvrTeaqGXIZFc9XsRUJxwv4dK2B4wZcXSljOQF920t+J46E+Kp07DNzHDHcMXQFuxdQzCpkMzq5tMZhy6Jv+yiyTCYlU8qZ9GxfkFEMlbQhc/FckUuLZRGHfOwa3m9adIdq/07f46AxSBq2INaT9T1xLYfEfHS/zvn5POcX8mRM7dRr8tZGk/2GIKs2OjYf3q2NxaEpsoShKYkLkGkopw7HNg96OK74mb36gGLOeGkJGBN8sagUxZCg3nEo5gyuLpcIwoitAyH+O2gOmJ/KUc6bPNhpc+NCNdkLTF00CGbKKq4fsl3vsbbfppg1kCX5kWvt4U6HreEhvd1z+eBuje99Y+GR17TfGCTipHbP5bBpMfeURW8xqwuHKDdMYsbjOEZC4saFynO7xe7U+omivdFxKGQNml0H2wkAiZlKCseLWFwt89pqlU7f5eFuBwmJjHkkrgzjmM7AY/ugT8oQ+3O9Y7M6X8D3I5o9h2ohRRBGbOx32TzokdJVoijmRx/tUsjoLE1nyWe0Yd0jRHTKcEDb7jmkTfHzD7fb2I7PXmOAoamoisJurU82paOpclLzdPoura5NGMfkMzqWG4jEg1C4502X0hRzBms7Hd68/HSR8WdhtJdmUhqlnKhz3rhYTQh/Z5HQToNIFxFk/HbfpZg1sN2AzYPeI8T/CZ4fI4ezB9ttDhoDLCckn9Eo5gwkSWJhOsPffdglCMNh8kaErspomkpOVxhYHooqI8syqirz8YMaO4cDiCPCMMJ2fM7PFfAe4/BhOT7NrkPKUFmczlEppIjjmMOWzcAWJIhmR9SwsiyJuN5i6lRBh64pKIqEMYzRHcXpvmjhQyGrc9gUgylVlR/Zc+ttOyFw9C1f3JtpjfrQkWxg+2wf9p/KeXumnKZw7Gz2omE5Pq2ee+YZYYKvJ0bn5HtbbRotCySJRsfhwU6HytClyfUiYmKUoeGTrshj8bJxDLEUY7s+mmqwud8limJcLySIItIplbxk4IchqnJ0P0uSIBWMkDZUWl0HXVOoFBTevjr9UjjphGHEYcsmJma6lP5MLmATTPAy4CRhpnTsaz+M8P2I/sAj9BUe7naRJJE4++G9Gv/V71zF80Ni4OaDOudmhHB5bfeoyd0b+Pzg3UU0VQihd+t9PrnfwPVDFAVUTSZGOAPNVdOszhfw/IjZaobrq1VhuqAp/OFf3GW33icK4c5GE00Re/9B0+KvfrnNO1dniImZKaXp2z49yyOfMc4cmGqaQm/gMrADJBkKWeOp+jh+ENHpu8SxEISv73cTItrWYZ+B5SXP+Sc/3Uj6eve32yxMZUibR4kBIxw2LXZrfawhISyb0p7KkOZ5UcqbvHlpCj+ISJsqths8VU0QRTGHLYsoihPS3OcF2w2SQbAbhUnvaYIXh1LOTETUtiuI2Y4nesgLboa+5VNrW0RhhB3HRL2YbErD0IRhQcZUyaY15qsZ4gg297tUCinWdkQyruX4HLZsXC9kEAZ0By6VnEkYRgwcH8vysV0/OX/7QZQYJURxhKEqnJvOoWsK7b5Hekgs+Oh+ne3DHp4f4Xgh7989II4lWl0HywkwdXEdF/MG9fbp+7XjBkdGEVHMQdOm03MJwpggCqm3rbG0oQkm+Lpjt94/5vzqUs/YY47ynwe2D/rD3pwghxazxliNchpaPWcsRXzroMelpRJvXDyalzluwH5vQNrUzjRAE4m3Ddo9sae3ey7bhz1hWBPHdAcefhAz3NJJmyrdgUcYi6QORZYglsgYCheXSlw8V6I38FAVOGw5TJdSKIpMo2PjByEXlwpYtp+YRuiaTMYQa2zP8tBVmcJwBtK3ffbqYu12vZD//a/XaHQcNFUZpmA49G3x+jQ1wHYDcmkdSZJEOkfXSchEfcvj7lYbQ1O4tlJClmU6A4/Fao4gipAkaPU8YYoVhKiqNBSHyKQNdWx+5wcR7eHM1/NC3r9bQ1VkDlsWqiJTzBlEUUwpbz4yO+xbPkvTOaLhc/pByMARNVFuKOjfrfdZnn2UqFXIGvyTX1+l1fcoZPXPJA44C5bjcWejjarKXFsuv3JOqF82Wj0nIXgfvy+fF/NTWcp5kyg+6pXpmkIcix6E64fkUhpBEBFHMbWWzVQpRd/2afccFqYzZFIaqirhuBHZlKiFT3tF67udZD63fdinmDMwdZX7W+2E4xCEEW9eqtK3POFAHYYctoSQzHED7m61ePvKDLYbEIQxza7Dbm1AEEb4UYTrhcxNZSjlTH7w7hJrO206fY8H2x1hNqdIbB14XFgscO18CUUWs8sff7xHo2vj+cHw3pHIZzQsN+DeZotzs/lE/DaaoYqkMhVJAl1TkRB9mHubHbJpDVWVOWxa7Nf7yLK4zrcP+pRyZxvLWI7PzlBU43oh63tCeAUkf/OMqSXrd7vvMltJU8mbKLLEwlSWpdl8YvQVx+Iz+/hBHVMXwraN/a5IS38K3sEEXw7qX+EkDoBvXRcijp/c3Of//J+9/lwp9xNMMME48ml9rIbb3O8ltf9h06KYNYXJYhyj6yINt295yLLEva02n641sJyAds/lL36+ye98a4W+LcTXWwe9hCu4Vx+I+bgTEBOTS2lj+9ba7tG+dRqEQY3gAdTaNg93mkiSiiwNuYFDriOArig0uw6uHwqOoT3O7fOCiDvrDYIwplpKYXsBricE097QlPawZZFJaaT08T3P9nxUWQZEryWOj0jSKVPjveuzNDpi1uqHEaqi4PkhmibjBmFSz9TbQjj+g3cW8fyISjFFRIxgOQrDroPReWo4l58pp+lZHrm0/shsZr6apZwbr8vOQtrUWJ7N0xwa420f9p/I6RzhzmbrsbyqlwXHeao7h31KjzEg/TxRyh31fVOG+rkbMEzwYqAgzFlHJa8XhGPJNq8KTspOaq3Bl/I6PgtkWUYZGpkqMoSvYO33l+9vsrEvjEIbXYf//W/W+D/9pzee+XEmIo4vGcebXCNxQDQsAkbFQBQ/ndpLliVSpjo2JInimPeuz6FrCgPL5+JSEUNTaHQcQmLShkqMICznszp3N9vsDJuXja5DpSBcGvq2JwgjqsxUOc2Vc8L1IYrEgDmOhYenLEmPvN4gjLi93hQqWYSjw/t3D/nlLeHu/9G9Ot97Y04Meoa/2hqSsUbklOONuouLJTw/Yr8x4MpyiUJWNDSiOEZVZGYqGbYOeuw3RMFz0LBYXchzb6tN3xbkrmoxBfH437iQ08l1dIIwImWqZNM6S3mTZschZarMlNLMT2VotMVrqxRMYkTBOHKlcf2QT9caCcnU88Mx8jnA9dUKYSSaRwvVXKJaDYfuhwBzlQyNrkM5bzBXzZ5KVJEk6amKkDCKhwM5khU8io8KXGLxOT4t9huDhHi837DGIl+PI4oiomj8s+tbHrfWm8PXMeDCYoFK4cU0GdKmngznX8zjfb4F3uha8X2hyvaC8Og5h9fmhYUiURjRaGsUshrE8Rhhq5A16Q58FmdytHsuvaGTva5IHLYtfvLJPr+8fYjt+mTTwl0vmxKNuFbPIWVqhFEsBr3NWNzLUUy756BpYi3xAo93r85gewHFjMFbV6eTzzab1pitpDF0hXrbJp81ODed5cef7BFFsSCCVEyuLpfxg4i9xoB2zyWOY1RVRlfVUw8HJxWux6MBxX0SJ9dyz/I4aFpiGCHBtZXTHTLDk5GBJ55jFMu8U+sPybSnK7VPvrZXUY07wecDTRFkKFNXYOiwut8Q7pRBGFNrOxSyphh6RPHYtXNxsSAGhNn/P3v/FSNZluZ3gr+r7zWtXOsQGSJ1VmZVdVdVq+quHg67hz3kDMHFDga7WBBYPvJhAQIECCz4Quwr+bRYNGexu5zmgAOyQbLZWjdLZ1aKyNAeEa7dTZtdLffhmN1wDx2ps8r/QAHlGWZu5mb3nvOd7/sLk7sHQ/bbDu2BR7Mq7h84ea09GMP4uFjGh67XZ6wnAH7ulSXMa4do6og0S1EnKRLN6pPFe9M951H79/TfH3yP0/fl+hHv3uzmA9swyfjq5XlURabd9/j2W2scdMaM3Rhdkznqe+wc2czWLfE7Jr96abaEJIGqSkSxIHdtH46ZbxToDn22DsbUKwabu0PW5it0hiLJSVMVkbBRMVBVMcANwpitQ5s0y9jvuNTKOrWyyXyzQLWs06iYzDUKDO2A6/f6JGlKo2ISRAmWqVIt6iSTPXbqdp48x/fwKJzcS8n3UlWRKVmPH2zGcYoskw+FplidDG46Ax8k8gHN81wvp3g6ygWds8tV/ua9XWxXDDn9MMLQFQqmRq1sIskZcjJ12p/W2RmNsoGmyGIvLhlYpsbtnQHdoS+c3QyFNIO5ZoHGMYJiGAshCAgxw4d3unn9J9xWipPXcfPnxEnK9a0+lYlYwg9iVh8xuFcVmUvrDfY6DrWSiWUq1Epm/js/KfzC68u8c+0IP0q4vNGkYKon/q4Hr9M0yx65zjwrPg0CAkzrvl7+Xh51RjjFzx7SNOPq3S5+kOAFEWkGRVPEhyuKTJJmjL0IQ1OIkoQwTNEUGVlE3Z34XWGY0h36FC1dNLvIyBApYFkqfp6pF1iaKWMZHmGUMlO3Tpzj5ppFrm/1CaNk4ryd8HT506ePG1siVQwEie1xg57jKXqnOMUXGS+s1gmihHbfZa5R5IXVOmkqErf2OzY7RzZJmtJPM6IkQ5UzJEkiTTM0VUaWJfwgRpIkjMm+VS3rKJIwc6kUdSxDo1oykGWJTt9npz0mTlNMTfx32wnRNIULKw3Wl0Ri53yziKkreKHoc93eHTKcmCvYXshCo4CiiNfbbdvUS6JW2DoQCZlJlqHIDhdW648UgKmKTLNiEkSuEE7Xraf2cZI0Q9dEetDICVFVmVmnQDJJIy1aKtKx+z6J07zZVTA1Xjk7gxcm1CsGL5+9v3aMnCB3FAbhXvdpijhA1Nj6xDjiWWuCzd1hLlZtDzxePtv61Na5017Hp49XzwtRzFRUbWgKQzugPXCIk0yka/T9/LwYaQnlgo6hi++jWtQn97WCJMG0DRAlKWmWkWaiv1+yNBw/EoJwQ2bWKOAHCbIqev3tvo8fxgydgLlGgaKpcdBxMHSVesVkxlBP1NPDkU93OBVNw8gOKReN/MwiSRKmrnJvf0xx0it4cL+OH+hZLM+W8ENhJFAtG5QKOs96yR0/C5ziFD+t+Dj9vI/8mo84Wz/1OY/ZO6bzsqk4Y/qr1hYqD7m7+0HMh3d6HHZd+uOAJEmpV0zKRZ04zkjSlErRQCLLe47Ls+W8l3/UcwiilKKp4ocJaZrRqpnstm2CiRFTf+xTL5u5mEyWJd68PEfxrsbYCVlfqlCydP7y7W0GthCY/cF37/Kb3zrz0N94fD1TZCHUSNPJLCxTWF+oQZaiqjIbi7X7+30Y8wffu4s3eU8HPZdvv7lCmoo5iZRJKJLEN19d5OZ2n8Oey0K9xN2DIQVTY6FZPDEjNDSFxRmRsKSpMt2Rh+1FkxmsRBSLmW2apPAAEXtaU4JIgF1fKHPv0CaMkjw5JU3vf94PQtdV5hqfTu8kjlP+8PtbjGxB2G/3XX7lzdVP5bV+WvFp1HQPzn8lSYIMZEkkjouetzBnurM3ZGD7kzmgeLyqSFi6xtR4elpnPHiNxcmD65Bof28f2vihIGaOvXCSoBNg6DJDO8DQ5LxOUlWZhVaRKE7oDHwcLxaiVUXCcQUhs1W3UCSJkqUzdCMOeh5pmmJ7GZWiSclS2e84uH7MS2daJEnCO9eP8PyI2XqBwThgabbEmxdm2e06eGGSC+1B9Nr9MOaD212aNRPXF2k+JUtDliQMXWa+WaBgiLopTjP0Y6XNk76zx+0P03nB9DNfX6wwWy+QphmKLKMYcv5dHv/M7+6PaPc9jvqiN7y+UEGR5WfaAx63Rpzi00WaChNT4JlTs75seOV8C10TvIM7e6NnMmc6xSlO8XQcr+Gm63yUiHnD+mKFseMTphmzlQJ/8sOtnHtw1Hc57LkTXp3E5u6IG1t9kixjr+NM+nD394MbW/18P5rycJMkRZIff8aY7inr8xWSLCNJMuplnaN+gKoIcXupoPHNV5e4dq9HvWJi6Qp/894+cTKZfT9A+v3Lt7dzvqCuyazNldk6FOmgszWLn9xs5/vqay/M8PK5Ft2hx1KrzHff3xXcxTRDymBtoZr//sWZIrIsn0hDOrtcY2D7lCwd2wvpjwLRJ5VE0nG1ZB57bJX+OECRJQqm6KVM5xpDO8iF2jDlQp7ssT7NgHj6WXaHHpu7wvRnYAcPMb2ftNc/2MN5cOb6RcFDZ9jP8X1O+76n+BJBUahWDIJOhCTdN1//ssOPv5j365MgI+ZfWZYhyaI38mVD+MDnHsXPzsE+jlMRxxcI00irUqZTDRJqJQNFkZ6L4KNrCvPNgihIJFiZK6OrMl+9PJ8/JooSfnzNx3FjLFNFVxUsU+Wbry7ykxvtXMGqKjL39kUR5ocxcZKyMV/j0nqD1fkyt7b7fP/KASMnEMrRqsXqfJnSMVL2nb0he22HK5tdVFXC0FQWWjH39oUCKUlTDg4d/tN/DZAlmG8UMU2VhZkiV+92efuaEHq8eXGeC+v3vTkubzS5vHF/GOR4ETe2+8iSRPOMyXDiPA6iyDjsuiJ62RCk8WDSkDR1Nf+clmaKDMci/jVJhSOqHyZcXKvnjtYbi1W0ifxuea70UIPCdsNcwAGiIHrw+5Nl+UR8MYhGyVHPZTD2MXQVy1R589LcxyLCJRMSnu1GWKbKxbU6c82CELUsCtIqwPmVmnA1ekYM7CD//2maMXajh4rFG1t9fvjhARnw+guz+eBu5IQnCsSRE35iIo4vG8ZOwM6hzdgNURVZuGlJQAbzzQL6ZJjrBgkf3u1y0HWRkHjr8iyaKnNhrcFM3aIz9FAVmUpJJ0oy3CDisOdRLYkhbJalgryViKFHb+ijKDIFQ+Fs2UQtGxPH74yxG/LOjTYS8OLZFmvzotG30Crm0Yf7HZu/emePME5YnisRRAm9kc9hz0FXZe4djnIidKtm8cJqg1//+jo3tvoUTJX3N7uUCyKF5dxjGi/TtTAIEwxdYa5ReOh6btVMOgMf14/uu41k4pp6VDLGC6sN7u2PGbshlqE8kvxlGipnHxPlPMXSTImb2wPSNKNWfrzL6Cl+9jByQqpFI49IHNoiGac38vGCeNIwByTRyLcMlZm6iBRXFJlvf3UVz49pD0RDoVLQGU7W2wevtbPLdTZ3hvTHAbqunCAkHcdcs0h/FBBECaahMPscTV1dlfnaSwt85eIcf/zDLToDD1WVefX8oxMkjt+j7YFLbxggy/DGxVkurd9/f4utIiMnJI5TipY2EURmvHezTbvv4fgRrZo4JB12HbIsozONPx/7HPZcHDckSlIaFYswShi5IQvNIroqhCaGqXBpQ0TD3tpuE0YJN7Z6/OjDA7wwYXW2hCQZRFEi3MrJsCZDk1rZ4OxSDS+I+Jv39hnagaiTDA3LVLmxPaBRMXlhpc5LZ+47006/K0WWhWhu6NGomNTKBoauMtcsULI0JAlW5z4eQezBvXRoP30v/dHVA67d7aMoEj//8uKJ2FNFllidr7A8W+bGdp+RHaIo0ucWO/rTjGZVEAQPey6SJIbqcZyiyhLtvstSs8S9gxESIE8c9+MkY2iH1ComuqYSRDHtkY+USUiyICvavsxSq4jrxzSrJnGc8ic/2qLd9yhYGq+eb7G5O+So5zLXKFApGgztIK8zF1pFhnaQx/0Wj7k7Hq+pH0TB1Dj3lH3z48LUVX7ulUUA/DDmP//1Jv1xQLmo82tfXaNVs2gPPDw/RlNlFppFNE0R64kXoSoyizOff+ym7YYnGoiPOiOc4mcP4cQlCmBppkxv6FMpGhiGwmKjwJ+/s8thzyVJEqRsKrLLkMhO7AOSBEmSsdexhSusriClGVMJoSSJ1KX5RoFSQaNUeLQY0/WiE1HoQzt4iGT1WUOcN++vQ44XEcVpbqIAwm3yxlafOBbClI3F0+HuKb74OJ5wcNhz8/1/t+2QpClxkqEqEgVDxgtTJDJW58q8e6NNECXUygb1ikF/FCBJ8Nr5WY76LkmSUSnp9MY+N7eFg/GPrh/w3s0OcSrS4l4916JVsZBliUrZYH1SF4Zhwv/7P1/hoOtSLGgoSt6iYLFZpFzQ8SfnCteL+Dd/eB2AlfkSG/NVoiTD0MWZ41EiDgmYaRTRdeFGW39C0o/jRVyf3NfNqsnijHDwlWWJ9YUK791qkyQZS7OlE32z116Y4b989x5pmvHiRpOvT2qIB6FrCpomE0ViWG3on92Q7XlqguP9tyAUTn6fdOrZFNOzWXfofyJnllM8DFmWef2C6AfvtYVg687ekL2OR2ewL9KyZCARJhErsxUkGbwgIU4S+nbAdtvG1BWWZ8qUihr/6x8NGI19/DBhbV4kf+qqQiPN2D4c0+55RElK2dIY2RJhkOJHMZoiyHmWqZFm4vyvKBKOH7Gsl07s//OtEsadLkGUYhoqawtVkEQPwPZCmlUTVZXQjyXFOF5EnKTCEXtrQJykhHGCrgoByusXZ9E0hQ9ud0iTDF2TT8wTHoXB2OdPf7iNG8TMNwv80hsrp+7sp/ipxUKzyGAszuiiD/7pz08WZ0qMJ7OtckF/JgJDvWxSKXqMnEf3kcZuRHaif/Xw+WLsRpM+u4ntChHCwkyRr1yc5S/e2SVJMtbmdQ56Lr2hP5mL1JltFLB2NcpFA8WPqZcN4cQfxfzOH99g+2DMYqvIhbVGnmoyRZpmeEHC+kKVu/tDugOfkinSM0oTlnkQJgzG4v1Oay5ZlvjVt1b5L9+9i+vHVEsGr5xtIslS7kBcsBTOLjUFUVtT8r+3b4eT9Tzjwzsdvv/BPlc3O/zCGyvc2ROJSkszJSQpY+tgzNAJ8/dTMFWqJUP0nif1U7VksDhTZGRpKIqo2D6826NgiHVdRghAr9zpsbFYOdE3XJkvc3tnwN39EQc9l829IV+5OEvR0vD8mDRLOeq5tPsejarJ2aXqZ+aCbnsht7YHtAcekiTOeqcijufD0+7LTwJBGCPJEgutIgsU8YP4xIx4v+Ng6ipxnPLuzbY4Q2gKL51tUCmZVEs6795sE4QJ1ZLOQqvErZ0Bg5GPG8TM1gs0qyYlSyNJUooFNRdxGKqCHyVYhobtxhz2PJI0oyFLBFHCXNPid/7oGkGYkGUZZxZrea1fKghBVLVoUCxoJJMeu67JGKpGGCdkaYoXxFzfGpAkKWM3ZGGmRBDG9EYBSHBxvc5/+40zbO2POOi6JHFKZyCEEB/c7tAoCyHar399jTt7I7pD8X2UCsLE5xuvLnJvfyTObkWdmbrF5u6QLBPmkY9zxRZ/gzCV6o18ZFliaabIze0+m7tD+qOA5dkSuqYwskMx233KfjKdaczULA66LmGUsL5QeqrJzdRcSFVlLqzWn/ieT/HJYmgHgrAsQfMpiVlfVpi6yusvzPD9Kwd8/8rBqYjjFKf4FGAZKr//3bsEYcLKbAlVgT/98Q5pmvHKuRYFS2Noi55jo2oi7YAbiJRvy1C4uz8inPSoLm00cH3Bg6iWDAZjP68dswy2Dkci8UpV+G+/sXbiffhBzPWtPkEoep2vXZohSlOyDJZmirhBIsyfJbB0he9f2efO3ghTV3jr8iz1spHPCvQHenvThAsQPYpmzaJcNJAkQf53goQwTZBlaZL0dZ//8KOrBxx0XOI0Y74JzYpBvfL4M9lM3cqFdb2hzLs32vhhQqtm8fqFGbYOxmSZeFyzauW1eZKkvH+7y0HHQddkzq3UiI8RgYd28MxJ6WmaiXpqkvx74vPIoFLUsT1x9mpUzEfyqaa4sFbn7t4o51Vd3ni0ie7njeXZErd3huJvqprPxXk8xSk0RcJzI0auOGdUSzGS9OXvMz4uAfWLDF0Tpv0SYn0u6F++7+EXX1/iw9sd+uMQU1f4ztc+Wh/jVMTxOcB2Q65sdpFliZfPtfLDsK4pvHy2RRgnaIpMnIpkiWd1MrC9iO5AxIa+er6FLMsnyA1TDOyQRsWgXNRYmSvh+hEvrNTYWKrnEYxpKgQPcZJiexFJmqJIEtWyxmsvzKLIEj/8602yTAyThk7A0oxwxrt2t8fiTAlJkvLY1rEboMgyrZrC0AlYaBbpDHyGdjBx09FIkoxqSef1i3MsNEr8xU92cnLKj64dcH61yrV7fYbjgNWFSt58mjZvzixUSUm5vTOgYGkMRj4ZgpxoaDKOH1E0NZZmSiy0iiy2iiQTN/TuyCeOE966NMvWgQ1kyLJMuy/i3OcaBZG6ociTz1ZCUx8e8hZNDT+MGTkhmiIz13h6g912wzx2ulY2MXSFyxvNR353z4Ojvpc3qD0/Zq/jsDZfYaFZ5PULs0RxSpqmz13MlCyN0cSNURCCTi4jaZry42uHeYP+nRtHnF+uousPpy4c/zlJRFJDkmbMN4sPxTz/tCFJMsae+BzjJEWRheAly7JcpXt3f8Rhz6E3DAijBF2VubHVp1kt4PgRL59t8eJGk93DMZ2+ixckmLrMbLOAgsRR32XkhMiyzEJTQw8U0jQlQ0JCiBAaFYta2WXsBHx4t4dlqJSLOnf3RiLhY+TnzT0/iPmj72/hhzEFU+Pa3T7r82XCMCIIEu4cjGiUTSREGoGhKSzNFJFl4Yy1sVTlG68uEUYJ5YL2kBv8FNO1MAhjuiOf/a5DmmYnrudqUee1F2boDsu5ixbw2KFvwVT529/YyNeBjzrorZYMXn9hhjjNfuqv0VM8H4qWxmHfoT8U5OL1xQqH3Yj6RIChyBJnlqtcWm/l6/vGYpWlmRKyLKEqMrYm3GXjOMXQFc6v1Hj1hZmHrjVdlfnGqwvsHDnUKiat2qMJloam8PK5Vk6W+Ciuraoq852vrWL7MaYqoz+mgX/YdznoONheyHs3O9SrFtWiztvXjji/XM/vuYKpTSIlhTveTttm+2BMsaCRphkjJySKUhRDplm16I8D+iMxTLh6p4ckSciSILhZpoahKRiqwlzDYmlmFiRBEDvsudzdH+IHMUEYc9TzKFgqlq6w33OZaxZRVJnF2RJpmhGECaWCRtHS6A19DroOq3Ml/FqBu/tDto7G9Ic+zYoYpPTHATe3+tTKJjN1S+ylXXdCuks5v1yjUtBRFJlXzrcgy9hpO2iKnEequ35Ee+ChKTLzzeKJ7ydNMw66DlGSMlOzTqSfPLiXPo6MO8Vg7HPtbh8Qe8+Prx6eEHFMIcsSF1brhBNRwVTAOnX+sAxVCA5P8bGwsVjB8WOiKKE39JBlmSSFsRMx0yggScJpUFMVBo4YysRJAlk2cb6RkDKJKE5Amjg/Zim9QUC757Lfddg5srm9M6RkadhuyF+9s8vZpSoZ4t4oF/QTDTrLUHllcl9KwPu3uzm58GlkqimyLMuHfa2a9akM767e6dGfuNCMnZAPNjt89fI8L51pEkQn17nLGw2CKEFTlS+EK1zR1E5EPT/r53qKn24Idx6ZMEoxNIVfemNlkrDn8R//apOt/fEkcVLB9UIsQ8cPIoI4oWiqOF7M1HRembhNxUmKnknESYaiyLSqFvPNEkutUi5uiJOU/Y4QSs4dO3cVLe0+Y5svxnUqTxyp3Em8u2koguR6DFsHozwBrN33aFYtKkWdKE5yt635ZvFjn69PcYpPA0mSipjliTYrChOiJCUKUyRdZnW+jKIoaIpMuajzzo0jRk7I8kyRX3hjJU9UUxWZxVaROM3wg5h3b7ZFcoUic+1On3iyrw8dsY8WLQ3TUJip3W/q/+j6QX7POG5EFGcszRVJk4yFVolvvb7EQcdhpmby//j//jh3zb+5PWS+XkRVFYIwYeyEbB2MkCRB7Jq6RhuawtJsiWbFRJJ5SIR8vDYejIP8vu4OfS6s1VlfrOY16tnlKmGcUino3Nruc2WzS6NqUSuZ/K2fXyOOBQH1sOfgByL19LhLaa1ksDZfIU5SVEX+TIcbD9YETxqaFgyVuwcj0jRjpm596o5uZ5drLM8l+TV1ik8PM3WLm9t99ruOIFnKEooCs3ULx4/RZYmN5Qr/4y+9wOb+gN/9i1v0RqK37gcJIycgCGMOOg6KIlEvmxi6ysvnWtzbH3PYc6gUdXojD0UStYbteRi6jCSrgsinqRPiooJlKKzNV8gQg30viPPrbb4pjF22Dm0koDfyeOlsi5W5Ml+5NEeaZeiqwpU7XbzJfp2kKbtHNjvtcW6GpKsKZ5ar1EoGqiLTG/oUTQVZkkWCuBc98Qzxzo02biB+/0FXkI5fWK0/9LggSjjsOg+tQac4xZcJpqHy6vkZwjjB0JTnItAPxj7X7vXRNYWXzraeObmmZIm5X5yItJtnec1pz/9xZ++HzheP6F8VLSHu1FSZtcUKs3WL9YUqN7b7fO3yAmmWkqSwfSjSfhwv4odXDzE1UR+tzFUIo4TZusm55Rp/9qMdhnaA58fc2hky2yiwOFMiTjKO+i4FUxPzLcfn6l2RqKvIMn4YUyubeIEDgCSLuilJM84sVonns7wO+YdzFe7sDhjaExHdXAVFEsYulqFxd3fIpTMNXtxocjRwiaKUclHs/5t7A7oDH9NQ6Y58/uLtHd66NEeSZgRRzHs3uxODrIy9ts3ybDknxx8/nz3Yw7td0KmWTcIowdBkkgQMXSFNM+7uj5AlKSeRN6sW5kaDK3e61EsGWSbW2H/waxcIooQ7e0PGjpjD9IY+rapFrfxs5LHH4fgZdL5ZfGxNk2YisSrLRK3UPyZoPcXj8WCP+Un35ScBQ1PyGQYIcuc0CUeYWaX0bZ/B0GfkhlSKurh+JYmXz7a4szckCIWhxdAO6Q27KIpEqaBjmSpnlqq0atb96ybNiKIEWZGYbxZQVYXuwMMPY+YaBVpVi5SM88s1bu0OaPf9XCDqRzFfuzxPzw7oDjzKk3Votm5RMFVW5yqUCxqqohBGMVkGhq4KroQkBF1//ZNd2kNPzHEVYSJVLxv85LrHyAkoGCpjN+T61oCNKCWJU8JYCEAurNW5sFbnm68s4YVxPhetlwyRwDFZb6slg2Qyc3za/XJupUYQiZp95Ai3b0NXiNOUztBjsVXK19un7Selgp4bilRLBpc3mk/t6Q7tIE9pO+o53N4ecPlMk0vr9cfOfE/xyWFKSm5UrXx+89OIr704PxFx7PN/+M6Fz/vtnOIUnxjSNOOwJ+ZoM/WTs9/PEjfu9TFUBVmS8IKY//Q3dzA0UXP+5Eabty7PkaSaME7UFA7myoRRgqooGLpCGIl93AuEScRx7sz7tzt5b8APYvwgYa5RQJYkbmwNuLB23/hxt23nn4frR7x0tsXf+5XzhHFKydR4/1aHWkkIL3pDnzt7wijaDxPeu9Xl3HIN240oFjSqRZ33b7Wx3YiNpSqNikV3YmpctnQWZ4ocDbw8KRgGJIlIwFhslfjBlQP2OzYbS1X2u4J/kWUZWQaHPe+JIo7j6I0DlmfLJGk64XoKQ490kjZ8vGdhmSplS8NarCLLnDCLBnGeOug6BOHEoNpQH1sj9EZ+nuIRREn+HU2x0BIGOckzcJxM/ePxqmw3pDv0c7PeT0sQXjQ0eiNh6PdFMPM7xZcLYyfiaLJGABz2HKIoxDA+3tn3c8fnT4l4bkRxwiTsEQkJx/9oKRafJ2olk//b//QV9rsejap1wjD1eXAq4viMkaYpf/zDrZyMfNRz+dvfPJP/uyxLuahDecpsLo7TCZlaJYxTrt3t5YQrx4seSdADyCZRNLIksdV2KFoa3VFIEPd46/I8lWKPMEq5tN7gvVsdLF3GDTNMXThRH4/ITNOMsSNcZA56QvCgqVIu1Egz4fzZrBYIo5hKyWC+afHGN9Yp/OUdfnT1gCwTF3QQxlRKOhvzlUeSBN++ccS1O4KEuLk35Ne/vnaCuKqqMluHNnGc4U0GWaahkCRQKRpkiKbwTL3A7CTeTFFEasRgHNAeeIydkGJBYzDyaFQseiNRkN3aHlAp6jSqJm4QP9l1eLK4ZJCTOUE0HR9FHHkwzEhVHi2+eRSiOEGWpOc6qE+LuY9KYlmaKaEqMn6Y0KiYjzxcPC6qrFoyOL9SY2AHFC0t/x4Abu4McnFIf+TzyrmZj0Q4/qIjTTMxDNEUlmdLjN0IbZLE8dB3kol4OjcQDnZZBv1xQHfokWYZV+/2eOlMg87AYeQGjJyANE0pGipBnOD5CXGSIsUZWSbRKOsgyYRRTL1i8dLZFkVLY2m2xNvXDlFkmSTN8L2E+ZZKFCbomoLnx/zow0NUVWLshthelL/BjIzDnkdv7IuDRxhzca2JIksULY25hiiYJUlCYjocFgKx5AEX3eOQZYndjkNv0gzsjXzKBQ1NFcOHMBbvbTqQtb2QWsl4ohpdVeUT/x7FKZLEcw90FUV+6vp8ip89jJ2Qg45LECZ4YUx36FErG8w3izheNBmSift8ug5oqowk3a+lSwWdX31rhRtbAyxD5eWzrUcejG0v4sb2EDJwfRtVlh6b3HS8rngSkjQjmaxND/8OmcoD5KIsy4hi0YCQJwODvY4zSfURiTnVB5JqRAEuCEGZIvPenQ5xnHJze8DICaiVDBpVg5m6xcpcmYvrTbpD96HXVVQxhKkUBLkkzTK6wwDbi3nlXIsPbnfxgpgwSsmyLB9ypkmGpimoWcbGYpVW1cwFYqEu1tjdIxtLVznsu1iG+BuyLCOJU/pjHz9QGLshYydCUyS6I58sy5htFDi7XGUwDnD8OP+8pgKd92918ti8IErYWKxy9W4vb8i4fszqfBldU7DdkJ22w2gyqOwOfF4+d1/8Uy0ZnF2qcNBzqVfNE3vpsyB7qPK4D2niFDiFPXFBnj4lnTSGTvHR8caFWQxN4cpml2pJZ2SHbB2KxuO1u0PiJMHQVQbjgCxLkYAgSknSjIKlksQpaargh8LFP01Txn5GoAW8ff2AgeNzZqnG2AnwA+EuA2Kvm28Kd7zV+fJD36MiSyiTteLSeoP2wENXxXOSRCR2PUrAPMXWwTgfIrUHHi+fa31mYkdJenide9R/+zxhGioX1xuicTlJTjzFKWRZ4uJ6g8OuizxxsfTDmP/tT25yb29E3/ZRZAnLUMmQxNkyzUjTFMdLyaT7Z0kpA1UR5Jg4lScicQlJkakUdVbnhaN6nIi+wVQU0R8FvHxOmBQULY0Lq3V6Ix/LUD+zFI6n1eQX1hrsd2wyhCvxszb9r93t403InkM74KVjyQenOMXnjSRJGNohpQdMMTJZxEYzJflP9jNZhu3DEV4g6sndts2Z5Sovnmnd78tLwqwhilN2Dm38MEaRZXRNQpLUyZBORtME8Uh+VEc/y4R7swTVok61ZJKmKc2KyZ3dAUGY4ni+eL4k6mddFb2dIE4pWSrtvsfYFTHkthtxaeLWpigyl9cbHPbcyYC0mJ+LQPQ3/CBBlkVt/KC44XhdYeoqpi4+k3//57cmgpI+MzXR50AXg+Rb24O8fpnW7AD1isn5lVqe5Pm0VDvXj5Fl8bonz3LP3rMK45QwjCkV9GevCY4RXz+r7tipWcVngyubXd673RHpcW6AJEsUTGFsEMcpZkGnPwwYeAF+mOKFghCpKIJkMe3FpkmKIgkhsyRJ6JrMxbU6cZJMzAfEEF9VFZAkZhsmjhMhKxKX1psosszZpSqWpeL6EV6Q0O57HPQcLq41KFkaB12bzb0R+12bNBbrU5xkvHV5/kRP7+Janf2Og+PH9EciRXO/41C2dOoToZShKfl+L3oVz0dYyTJhxjTtF7t+iCrfN5tI04xrd3oEE7KC40VcXP9iOkae4hRPw7P2844jDGP+6AdbOTm6N/T51a8+u/ufIkso8vPtA086e5eOnS8KpvbQ+SKMRP/jhcljVEVioSXMbsiYuOcr+SwiSVO2j8aoioyuKqRZxtp8mf7YZ6FVIk4zBuNArFdphqbKRHFC2dLY7whjFSEYU+kMfO7ujfACkWjaG/n82lsrFC2VKBZrzXAcMhyHOF50QjTmeCE3twf0R1ODOoNmxSJKU25s9dBVhTjN2G07NMqC/EVXCOhv7w6I0xRZynC8KE8o0lSZYDJy0VSZZsUiy1K+ckn0kKolI19L4X6P1dCE4GNlVjjnZ1lGvWJy7W7v2PuNuLk9AOCwJ2rMSkGQ8qbzpyiMRZKzrj5U3zypj/gkHK+ZbkzSm0HMt14+23rk7E9XZTaWqnQHHpIssTJ7mgz2NERxyrW7/XwO7QUxZ5drn2pP7FF1vRcm7B6N6Y99MYMLYpBEH3vam1dl+ZHfe0ZGmnJijwfy6+bGtpgdN6omW4dj/pufW+cmQgxdmqT16YqMpiqEk5oJZLIsQ1Nk1hcqzE/IjLqmUCsZjJyI/Y7D8myRMI6J45SNxSqdoc/IEa7TBVPNE0PGTkgYpbSqFmGY8Affu0d/HBBFKYMwIM1AyhK6Q3eSVhZRLRls7gxZnS8zWy9gGffvrwdnjBLiDBYnKR/e6eJ4EUzmwa+caz10X05r9myiDNcVhYVmEUURyYXHORbT/SRNM6I4OXGO2VisYhlC4Dv7nGTikRPw3q0OuqrkZNFp6twpPj0c9KZmJT/dveW3Ls8jSXB7Z0hn4H0mqWSnOMVnga3DcW7u2x54vHKu9akbdjwK3ZEQWgKi35Bk8MAWkCYpCVCpWbx0pslex6Za0plvlAjjFD8URlPlon5iX7u4Vufe3pAEWJwpsnU4FrPwyb8f5xe0B17+eQzGARuLVeplQ5jXyRIXNxocdB1kSaJoqFy5083fn8R9gxQyeP92h50jmyyFuwcjfvkry9zZH5FEKZfPNLkxqYdBJFF8q7XItXt95hpFXD/kr9/dB+DavT5pllKyRI/G0BU0Vc65Ws/CsZNlCfnYuUpVZFDu9yxcP4LJPESSJDRV7Mvlok6ratIbBTQqBq4fs98RIvOpYHfa7zg+15kiy7KJuZdEq2ZRtjSGTkirauYcqSeMeQmjRHyXsvQQr+pZ4QcxV+/28u8milNWPqW039/9q9ts7g4BuLM34v/y312mWjrdL07x7IiiNDeqCqIvn3DgUfgySnxFIqL4/4IL+uX8LlRV/djr3ReH2fIzAj9MT8T39seCdP287gT9kc8f/1A0ZOtlg69ens+J8+2Bx9bBiO7IZ2OhesJtDqBVteiNfOHWJUs0KyabewN2j2zmmkVePT/Dm5cEwaFZMfAj4eQ3skM+2OxiuxG/+JVlNhar/OU7Ozh+RK1kEEUJjh+ztT8miIe542+lqGOZIgFg7ARcXKvhhynrixUaVZ3vvX9IkiT4oSCc//X7e3z7zRXeuDDL29ePAHjj4iy7R3b+N2SZ+DtbtQKmrrI4U2Sv7RBEKQuNAjsdm6Ed4vqiKeSHYgDcqFgPkR3HkwLVD+KJC5/Erd0R8dYAXZX5Ws2iM/Q46nu07JA4yR4r4nD8CFNTMesqR32Xd6532NwVDoTlglD4Lj/QeCwXRFxqu++hKFJOsHka7uwNafdFrPC55dqJJi4IJ5HeyMfxIkxDNHA+CUjS48nCIMi+b16c50fXDsiAV8/PnHBur1fMh94rcOK+CKOUMEpORPD+NMD1I67d6xPHovBfbJUmw1SZ1bmHRVdrCxVGbiiEWlEyGQqY6LpCvWzgBRG/+5ebvHe7R3foYbshUSLiwDVNpmRqKJKMqgqiRnfg44YxkiQxWy+gKQr9UYCiiGHvxmKFuwdjxn5IvWgiyxJlQxAnRm5I2dI4u1zjg80uYZxycb3B5u6QztBn6ISUCjqaKjNTM5lviqScsRsylxa4sd1nZAsn0EbV4KjvQcYj74kpnMk1cdhz6Y99eiOJStHADxKSNINM4uxy9URE4bNi+3AsDj0Sj1wnT3GK50V74GEZKtZk3Wr3PVbnKjh+hO1FSDI0KkZ+eI0mbkwFU0VVZM4sVWlWLVq1wmOTNaaYNvGnGDnhxyLW217EjXti2FMp6bywUn+iiC5JUq7d6+N4EZoqc3G9IdJ3dOG+uzJXEm9PgtcvzKKq8kP3nGWquVuXLIn0KC+IkWWJjcUqR32P925dzxsFZ5dqrMyVuLkzwA9hvlVkY7HKnf0hzarYU4IwwQvinLBZL5s4fsRis0irLhw3ojTlKxfn+PZbq/zvf3aTWztDbDfilXNNqkUdx4sIooSZmthD3SAmzUSTYTgO2HZCZEVGkSTuHYyxDIVqUWe2UcgjUIuWxtbhGAlYmxeOgNGxw8bYDfGCOBdweEHMOzeO6Axcbu0MyDLRQLu4VqdREa5jfhijqWI99sOYv35vn/FkoPSrX117YiOlVja5sFbn+r0+iiLxlUtzz3xtfNLX2ilEnXT5TIu9jsNh1+bGthATp6n4fDPICQOZJJOkKZIkEUQxlq4wciKkCdlaImPkxaSIa7RvR9zcGlApGgRRQm8coOkqL59pcntviIRI/VpolZ74HouWlruu9UY+tyfX5WyjwPpjROLTehrEAdv1o0+cBHhpo8Fu22YwDigXdF468+UiZD2YgHKKU4AgBB83X2j3hXOQriloqkIcp0JUWNLZPbIJIjEseJBGE2dAJOg1vhdP6n+VkqmyMlvizFKVg67D1uGYG1t9WlWLRsUUg/Y4yQke1aeIoj9p7HcckaonwercwwIzEIOR1flHrz0gnndja0CcpLRqIoUjTtK8HgBBwD5uRnGKU3ye6A09fuePbzB2QspFnV99c4WBEyIBBUOhUTZJUpBlMUjwpBhJgjgR5Mpkktp7e2dIGAmi03yzwGHPJUkyJDJ222PaA0GGfOlMizv7YzE0mylx8ZjjnePdv09ePzfLf313n27fo2CqbCxWCOMMRVHYPrK5uz8U6Z+Gwup8iZvbYkj21cuzhEmK40VCcC1L7E3q/rnGfREHCFHjdM1z/SgnnMmyxM7hCNuLJz2nAqoiBqSNY4PGB7F9NM4HLQBxkiDLEmmaUS5oxMcc7EZueILMNK3dn4YffnjA9Xt9kODls60J+SmlaGlcXG8807qy27b5y3d2SJKMxZkiv/TGMuXC49e1KVw/PkFWCaMkP2+e4suLOEkZOSGuGwrhRDgRM8oKUZwxW7eoFA2iJOWwa0/6dqImcP2YWsmgXNTpjwRhMIwTgihmv2Pzh9/zmG1YvHimxVHP5cUzTd690Z6k76j0hr5I9IslhnZAo2qxOFuiVbO4sdUnCMV7O+w5bO4MCcKY/Y7LftcmjFPiOGP7cEyjYvLS2VZ+RgXQVIXV+QoHXYexI84GrZqVu7m3ataJWnh1rsytHeF8OdcoPNX1+eJanfdvtfEmLp47h2N+cOUASYKff2WRjcXq5LO47zZ5/IxyilP8LGDkhrmAA8jNkT5PPO58cWtnQG/oI8sS55arxElKux9w2PN4YbXO8lyZG1tijrIyVxIOuF2HwTjA1CfiNUTNIEsSUZRye2fI8kyR7aMRrhezNFvisOcRx0c4fsJiq0i9YuL4IUVTxzIUDnsuYzfA8WLu7o2YqVl87aX5h/p4xzF2I/a7Nnd2R6QZLM8UubjR5NatNsNxyMpsid7IZ+doTK1koqoSiiRhWSoztQL7HQc3TFAUhZmGxW7bZqFVZG2+Qrmgc/1en4Kl8nMvL7C+UH3os9s6GHHQdZEkWJ4t0R54+EGCoStcWm8I87C5EjtHIkGpUTFzEf/072nVLF491+LPf7zNvYMxpqHyb37/Kt/52jors2Wu++Kzb1RMah/hfBhESS6qs0wV243ymimYzIH1RwiGSgWdr1yc48NNkczwtRcXnvu1f9bgh3Eu4ICTc9ZPE8freoCSJVK1hxOjvqKpcXm9ydbhmP44oFTQePmc4B0szZSwXdGDr5R0ypbGX7+7x8gNUSQJSRI9UtuLiOKEIBTXd5Zl3N4Z8t7NDudWarz2wgybu0NUVebrL83xl+/s0R4E+EGMrslsH4r65X//s5v8g1+/SOtY7T81oumPA/baDmGUEMQpG/NlskycxboDj6OeR62sT9zJE3Rd5mjoESYptZKBpsn0Rz5hJATtW4cRjh8zExeYaxa4uz9ity24DfPNIpWiEHQfN7Hoj31u7wwZjAO8IGKv7RAnKdWSQbNq5vf1o1ArGQzsgKOei64p/Mqby4+cLZ2YTRc0Lqw1JsI9iaWZJ/eJH8TU8HLnyEaSJCoTI6+jvvuUZ57ik8BhV5B55xs/3TOaWtng4lqDq3d7fP/KAX/7Gxuf91s6xSk+ETw8R4s/FxHH2nyZ/bZDGAvT3rMXZ/jxtTZpBq+ca7HbdtjvOEgTpUTfDumPhbHzW5cXsb0QPxDmETMPiKyu3e3x7q0OZPDyuRaOH3J7Z4SmSFz6xbNc2exO/m4ZXZVRFZEqXjBVvDDm7etHZJlIMN1YrLI2mQsstgpcvdfn3sEIQ1d48UyTvY5DGKUEUcLQCRiOQ9Isw9RVtg5GKLKMost0Rz7tgSfqJAm2j2zuHYzoDDwMvf9QIvnqXJnDnkcUp5xfrlG0NN6+JniLK3NlFlqPX4OXZ0rYrhB/Vkr6ifTfKEnZbdv0RuKcNtew2FisCUG7KjPXKLB9OMYPEvwwPvF70zSjY3t5XyWIRJqzMampqyWD3tinOxAJGOvzZfa7Ts67q0xSUR+HW9sDeiNxPju/UvvIMyLHj+6La/h0a9PDY7VHFKcc9PxTEccpnhlJlpyYK6QZJMmXUQJxEqUvIQ9BkeTczEqSQFU/mpHETwNOJz+fMUxdplzU82FGs2o9l4AjDGPeudHmnetHZAgyUH8csNe1URQJP0joj3waFZMkTvnh1QMurjWYbxZyBwVZlri41mB9vsKHd3t4fsS9fRFHnCYZf/nODpausNAq0R35zNYtRo5Me+DTG3mULY13bxxiGhqtqoWmyJQKGoauEk+GmY4fESUp840ilaKGpsikCBfsW9tDtg9tdFWmaBrIssRhz8cyNHRVJQwT3rvV4Ze/ssILK3X8MOaDzS4HHQfbjyhZOt2hx63tAWkKL55psjxbZqFVolTUsJ0I3xckziyTiZNs4mAo1KsPojIZfBVMkQ7Q7nkUTY1aSadvB+x3XYbjgCBK8IKIWunxi16poOeikcE4mDQyxhz2PGbrFrYbMtco0B362F5EvWzQrIoCdHWunDunPQ2uH9Hui2inLBOq7QeFEYoi8+KZ5kSY8vRr7P1bbTpDn6WZ0iPj6J+E/tinOxSOrQvNIhfW65xdrpLCM0d2V4p6HvFm6MrncmD5tLHbtnPSsu1FnFmqcnap+tjvvVY2eOlMk+3DMUEYoSjCmWl9cljZOnTYbduMnRDHDwnCVGxuEoRhAqYOZMRpytiN8MKEVq2AKothw7s326zOl9nbt9k6GImoYE1BUhWCKGXkhnljs1rSUWUZ01D55isLbCxVOOp5HHQc6hVjki4iU6+YIi0jy+iPfBw/4oNbHYZOwMZihYKp85MbbRYnBNK9tsNco5C7Yx50Ha7f62HqQrm/uTdg+9CmOrlX7u2PWFuooKkyvZHPrFvIm4TH8eGdLoc9l7lGgcsbzRP/FsVJrlong3sHo8eKOMIoyZusC83iT52w6BSfHOabBeEAMakpF1tFeiOfxVaJJE1RZJnu0CeKU6JYHJj3Ow4zdYt62WTrYHyCRBTGKe/eOMKeuL0db6aXC5qIlMsEAWTshmzuDk/s9VNc2exy1HeZbxa4tH7yXnC8iIOuw05b7MmKLDOyQ/pjn1rZZK9tE0QJs/WT91l36LPfsbG9CENXKBd1ZmoWawsVkiRFkeusL1RoVExUVc7/VgAy2Doc8dr5mYkjnkgYkGVw/BiyjMOuy27bRtcUZuuFCdmpgCwJwlqcZqRJSm8kCGbTIWC77/L9KyGOGzHbKKKpMoutErWSzupcmWatgIwQd7T7Lp4fs9AsMrICbu4MUGRBFDN1NR9gxGmS76GOH4OUochCeBEnCXEi400aKcfXna9cnBMOWhOinTGJSAWx3xVMNY+dF00ihe7QFy59VRNVlrmzN6JRsVBV+QRZ6/q9fl5HekHClc0uP//K4hOvz7cuz/PqC7PI8Fyxp+WCxmHP5bDnULI0fvGN5ac+xwuEM4gsSyzNFJ+Y3vCzCgmxDw+dCJAwVAXLUumNXJJEpO0pMpRMjSBKieIY14tQZZmZuoWuie/w2sBDBlIgyYTASlNlUXfWClyqm6zMVjjqu5xdriExbaBlz+wcPa0PQCQIzjUKjyQPVktGTgpQFIkgSri1M6Bgqrlz/oP14oNiMdePeffGEVGS8uKZ5kPESlNX+Y1vnsHxI3pDn72Oy1yDZxZGDMYBnaGHqSssTt09T3GKJ+BJe/GnBV2RJi7TKdWiTrmg8s3Xlnn3ZpujnksYp6LUeKCHJQGKLCPLQhAfxSlplqJpCv1xwJXNDiDcFwuGyn7Hxg/iiSBMojv06I8DiqbGfFNEXF+92+Wg6zJbL/DimebDb/ZjIkkzto/G4ofJmXa2Xjhxb077H34Yc2Gt8UiRR6mg8/qFGdI0yxMqVUWmaGlCjIgQp50KOE7xRcH3rxzktdzYCbm9O+Q7X18XR3kJdg5toonBSK1sABKyJAQcor8l/mdNnfjTjB99eMDNnQG2GzNTMznsewzGPromIys1/u//8Gv4foyqqXyw2c1NYCrH+ltjL+IXXl8mCGMMXeWD2528L7N9KAabcZLheBKaDHPH074aRbJGRpZmfHhXnOfJyO/BKVxfON6qiowb3CecjeyAg55LGIkUoVbVOHFfD22RnmtoCvONAvtdR7jF1gokaYrnxyiKzJuX5njjwiwZoib98Nj5rFp8/PDRD+872y3OlOiPRM9OUyQh4ADI4G/e2+PNi0IQ7XgR3YH3yCThB/HuzXYu4N5rO+y1HZafwZXpwT7ZJy2QzbJMEEmDmOZjDFeeBff2R2zuDamWDF55TJrkKe5DVWRUWaIz9FFkkcY87Vsriki3NjSVWsXAD1P+6r1dkjhlvllk6ATM1i10VcbUVb712gwHPZujvkeUCOOooR3QqJi8dn4GQ5e4tzdi4AREsUiqHDkhUZxi6QoZ8N3392hVLRYmdU574OIFMd2Bh+PHqIpEGGUEkzRoeZLim2WPHqhVijq2FzFyAgxd4c1Ls8zWC/kePa05SpbGGxdmT+zfWZax07Z55/oRkiTx2vmZ3MHM8WK+/tIiUSzMG8RZQyPL4J3rR+iaguNHJ/rgj+oXnuIUP82olEwKhoo7ETN/0UyLukOPK5td4jhFU4UZTJpmXL/Xz3sUXhDz/Sv7nF+p88Jyhfdu99hr21xcbzLfLLB7ZBNP6ph62WBlrowyma9qqnCNXWyVGNoBqiyxe2SjTQysOgOPYkFjvlFk7EZUSgbloo8fxERxKozsXFGbLbZK9EceRwOX2bpFGN13Sa4Wddp9Dz8URlOHA4/ZkY+mKiRpwsAOkWSx3u+2x5QsjaKls922URUJRZEpqDIvnmmwMlumVjJYmimxPFfmLDyxfxdECff2R/THIsWpM/Dy3kkQJhz2XFbmyiy2Ssw1ikiIOdS1ez3SNGVzZ8T1ez22DsdcWmuwvlCjM/SwvZgb2wMatSN+6xfO8voLJ89Xz4uDjpP3QT0/nvTGxednGeoTHYzfuDDLS2dbj/wM4iQV10CSstAqPldqwCeJOE55Z9IrOL9ce6a67tOCZdzvMcPJ+v6zxjQVY3rWaNYsXj4/QxjGJ4z+TEPl1RdmxBxBkfnwTpf1hQp39obESYYXxHQGnuh/ZuI87wWiN1oqCALi1sGYuUaBuwcjCqaC7caMnIAkSVlbqCJJUC2J2na/6/C//KcrXFxrULQ0VmZLlCyNzb0h71w/xPUTVE3i6p0erhfx0tkmBUNjY7FKEO2y33GI4oRKQcfUFCRZwg8T2gOPkqWhybIQoMigqWK9Oew7bP71ENNQWZ8voyhitqoqMp2Bd6K3sX04Jk0z2gMhyh97IUmSYeoKW4dj7u0PWV2oPvIsMLBFunm5oCFLEr1R8JCI4/1bba7c6WFqCosTAU1v6H/kPUKSJM4t16iVdPwwIp1oiE6Nnz4bHHR/NpI4AL724jxX7/b4wamI4xQ/RagUdbxjc7Si9cnxTgZjn/dudZBlcZZ+EpF3bb6CBKQp6LrC2aUKmqoQhClnlqv8r394nf6E0B9FKWsLFRZaora8uz/k8kaT0cQY4ni9GMdpLuAA+N77+5iGyosbTSQZbm4Nch5aGKXIMpxZqpGk4hw/HAf5uaDd95hr3Oc9KIrCN15dpFHRqZYMCqbO3X0xW4jilDTNsL2INE1JkpTtQ5vdiTDyzFL1fo8yg+t3e9i++DkIE5IkZTD2CSeGWl978ZwwtwkTDEPjR9cO879x+2hMwVRpDzx0VWZptsyd3QHbRzatqsnL52Z47YXZvM45gUzs81M4fsy5lRrJ1ODmyOagK/gLlqlSK+nc3Bng+THLsyWWZkt4vqixTUM5wcMbjAOaFYt6SRj1Xt8ecNhxGLsRzapJvWKQJILLOdsooGsKexMOVLmo58KSNBXmHcdFHM/TPyw+UA9+mrXp8kwp79sausLCT7nA8RSfLLLk4XmhJMU8FEv0JcPO4fjzfgvPDUXJckFNmoJl/Oz2c0/ZqJ8xZFnm17++xtU7PSQJLj9npPffvL/P1v6Idt/D9kMurNbRNRXL0FiaKXLvYMzINWlWLLYPx4RxQmfgMbADXj0/A1lGMIkpNg2Vy+sNDrou9bKBZaj0Rj5+KEjLQyekYGk0ysbEwUfcNSM3ZK/j0ht7RJEY2viDmG+9tsRs3aI/DjEMJXfz1CZNDSWDva6dJyw4fsjOkc3VOz1kWeKg66KpEmeXRKEyjTb93tsHIvosE8WXZSqoNmwdjGn3PFRZ5sJ6HUWWuLDa4LDncG9/RJJkpIAiCRXr+mKVkqWRZaIJpKkiXvXsUo2jgsviTJE0zXj7+hFxkqBrovnVKBnsHNnIsognaw/EAdl2Q4IooVoyxN+kqxiawuWNxv3iylD53vv7hLEopgZ2yNnVGocd8Tt6k4FdrWw8tiHq+jGuH05ce2TSVCSjJElKnGYoknDL8IP4kQTzxwk4/DAmy0ST78pml3dvdgDYPbIxNOWEi8qTkMcx54tqxspc+bmHtueWaxz2XNJMuM592Yh1Q9tj5EQstoooyqMH65IkESfi4KBpQpDxtEa4JIlmjB8mKLLEQrPAXLNEFCf0xj77HRc/jAknUV+KJJHEKUgSlqlQKhQw9Pv3o+NFItEjhe7Ioz1wxfWUZvQmRIWZmsV+x0aWRdM8TkRyyLSBamgKpYJGZ+ALNbumCkKYqTHfLHJupcbW/og4yXj72hFuECEh3Lx//uVFFFlEmadpBpOIYE1VsN2QP/vxdk5ukGXyg5kfxBx0XcIoEQk0CELLoy6TW9v9XA2/eyTI6edWjguTpFzJKV7n8dfa9a1+fpgeTtbRZyW+nuJnCwutEr/8lRX22jatmhDn7bZtER0fp0iqhCzdF2xNL6Ppz9PrcLpH/eCDA3Ymh+e9ts1vfPMM1ZKR7z2X1hv0xwG7RyKG9PhePyUpXr/b553r9+8FQ1M5syQc3OIk5dq9HkkiBFdpmuWpOLIscW9fELVAHPxfOtu8v474Ud4stt2IRsXj3HKNC6t1Rk5IqaBRL98/wEuSlIvLhHpaE7HrZ5psH4zIyJAlCc+Pc4dcL0iI4gwmt66mqhz0PMZuxMgJ2ToY8cJaDVVRKJoalqEKEsxYIs0yamWTSlEnSVOG45DBOEDXZXRNFXVLGJNl04h2iTBK6Qxd1ubLVEs6thuSJDByIiCbCC8U/Ej8PQVTpV42aVRMDFXh7WuHfLDZnTSGxvm6Y3sh/ZHPmaUqhz1HuOHNCtHmpfU6u0c2fijW1e7EIVFGCOcsUySNtWrWib38wX39WffLZxVVHsfQDmj3BaFunInv/UkpDmmacW2SNANiz/k0iL9fdsRJylzdoj/00BQJo2KgqcrkXpnsgZJMrayx1xGpa2GU0h95pGlKnInrRJCn7v9eVZMwdU04eVsqK7OilpNl4foInNjD/DCGjCcKFB+8vh63BS7PlvI0HlNXuLM3AqA3BDIh8nhUvXgcf/H2Doc9lyzLOOi5/Na3zpwY8k6x33FyR9HBOHimyGnXj7ix3T/x+k9y9j/FKQB+8ME+d/fFtXx8L/60MHJCdjsuX3txgWv3epQLOhfX6sw0iuwcDFFUBVVOCOOHSZOSBEGcIkvCMUbKYDAKuLXdJYkT7uwPmK0XObdcY6Zm0R0JcnfJ0nj/Voc0ywgnJBtJEmfQH1+9X0NMz9zPgyTNBBlcUx555ploz3M9ijxx3DyOv3l/P0/k3Os4/OY3zzxyACVJEopy8skX1up5HPvcM5CsT3GKzwoP3g+aKjN2xJByebbMxbU63XFAs2Iw9iKRaCnD2eUaC80CBz2Xc8u1Eykab19vc9R3JyYfQzw3QFYUXF/i9vYAP0zx45RGQebyRiMXVbZqFmEk3JCnNYIx2XtnmwWyFLIspWCpRElKmop79vrWMDdJaQ99zq/UkSWZBEGo84MYWTrp6honaZ68AaK3aKgKQRQzjfFTFUG+zLh/X/tBzPV7fYJQCDXu7o+QJYk0FX2PS+t1tg8cahWDF1bvJwqWLI1L6w0G44CipdGomCf6YMchfr9YA7cnbtQghGR+GOfnoAfFYA/2BoRgX/QHj9dQsiSRpKKnqSryQ+vV43BuucZR3yVO0odEbvBstdyTsNdx8jW2N/K5vN54ZreuKBZpg44X8lfv7kIm9osoSvjaS6eu2U9CGMW4QYylqxQsNd+7SwUt/2+Vok61qHL9bo8kSRg5EZ4fkSIx9iL8I5uZeoGjvst4Yma013UpWiqaInPYdfhAkfm9/7rJ9uFYCMWTjCRJUFWFIIxp9z0hggrEOa879Pm5VxYYjH28ICZKUvwwoWCpLM+WcoHX8lyJ5dnSYwm40+QrXVXQVSV3xbRkiZETcntHpPhMU0GaVQtrYm5z2HP50x9sc9AToqp23+W//8Vz1Ctmfv0LYkly4jVHTnA/wVuCRtWgaOqPFFm5foSiyJ+4KOoUp/giQFdlvvP1Na7d62FoykNmLp8nwjDmj76/hRdEJBMjuK9MhJGKIpGmkGQZO0djDE3hqOfyF2/voMgSUZyydTjmN7+5wcp8hc7AIUoy5psnjUPmW0WiMKFgqEhkdAYBaZYSxRnlokq9olMuaCw2S/hRQrmgUTBUbu0O8IMYabI/q4pMvazzwWaHLM3ojwJ+fO2Qr1ycI05SamWDuYkQJCNDyjI+3OxQtHSKlk5GRqtqYagKjhfRHnq0ahbZMOPukY0iQ5JAZ+Dx6vlZ8ZqqTJqm9EZ+Pmdx/QhNVU6st74fcWd/nM9E0iw7YYBxvDSZ1i2Vos6F1TrffX+Pva5NkggSlu0GBHFMe+CTJhmKInFvb0g8mc3KkjDosAz1sfOQaT3w4GMefPiZxSpMDIlm64Wnzlce18O8tTNgNEl6GNohr55vfWShycfBDz48YHNX7Gd7bZu//Y0NauWPJob9uFAVUd93Bh6aqjD7GYu30jSlPw4mM0P9obMG8MjeHohz0dTsKpv8HCdJfn2cW64Jo7naOkd9lzt7Y1bmBDmvN/b4sx9tk2YZZKIf3R74SEiM3RBdkykYKgM7pD/yhGi8Y7PYKrF9OObCSg1NkYmilCCMsb0Uz09yc6IzS1X8ICGIUlRVZrkqah9ZFkadaZwymCSHFAwV2w+J4gxZmYi9hz6QwRjIMuoVk5KlYRkK+12HRtlE1xWRNBIlRJEgkILETM3C9WOiNMXSNbrDAC/s8cq5mYc+Q1kSRiBxLMiv8gP31vu3O7x7s0N/7OP6ghcxUy/wHN6ij0WrVuDXvrrG3f0R1ZLx3OaQp/homNbJPwt9rq++OM//8p8/5L1bbVw/+tyEe6c4xSeJ1bkylq4SRAkzNesTM8GL45Q/+eEWXiDOyv2Rz29+6+xjH784U0JTFfwwplk1+fO3d/KZ23Z7zNAOiJIMOclwfVF7TfeYkRMK4WWc0h0HKIqUcwJkWdSg0/QFeWKuLud1tjRJuE0myRMlSgUN14+pV0w2dwfYTkSSCXNEWZLwApFQ7Pkxf/nOjjCO7Hq0qiZLsyVcP6ZgqgztANeP8cKYVsXi3ZsdIdRIBYfi195aYehGaIqMoUnYe/eNZ3RVJIqNvZBGyZiIsyGb7LPCmE98Dqapcu1ul7Ej0tTvHY65N5mH7h7ZIIkkC9u9z++bQpZlVucqHPUdZFlmoVkkDBMO+w7VosnQCTjoOEIAbYu0L9uNSBJhgPnmpfmJeVf2UE0ty+JsMP1s947GbB2KPkln6KFqMrMToWd/HCAh+jcwSdPKhLmtosgP9R932zZ7bbH/9EY+lzeaD6WXTGHqal4Pmrr6qRoL/OY3N2hWLRwv5I0Lc5+rmPkUXz6k2WeTYPhZY3pff5lw0PXy/58hDKO+jJjOxHVNeSaj/UfhCy3iuHv3Lv/kn/wT+v0+5XKZf/Ev/gXnzp078Zj/8B/+A//6X//r/OeDgwPeeust/tW/+lfs7Ozwne98h/Pnz+f//i//5b9kdXX1M/sbHgVTV3n9wuxHeu5ex+aw7yLLEMcZQZSysVjizGKFm9tDbFe49HoT95ip80Ecp4ycgDt7I+I4FWKDMw3hArFY4Ze+ssKPrx3i+THFgsb2oU2poPFzL8/z7o02kgQFQ6NcUCcucBlHPQ/LVKkWDaolnZfONtltu9QrIbYbTRxmNFbnKpQtna3DsUjnaBaJ4oS7e0O29sdkWYauyqSJnCdeqKrMT262ObtUZa9tc9h3YDJolSWJ6/cGREmGqkjMt6ycUDJ12tlYqogCME2plwxWJ1HEaZpxY7vPyA6RJNEEqldM4WZmB9zcHtCqmZMiNWNppsTljSZ7XZeRFyJLEoamcmu7z/euHBCGImLppbMNipbO5fUGBVPjzFKVztDj5tYAL4ixTCUnfY4mLnpTuEE0cVd8GLttm798Z4ckyaiXDX7lrVVu7wxwfeE4Fk4EAQvNEkmasdAqPkSIexQOug5bB0KBN1O36I9ORmv3Rv4zizhcP77PvEGQez8KZFl6YvTcFxnv3jziD793jzQTgov/6b+5+EghR71s8JMbbYIwZqZmUX2KI9xR3+Xu/khETMcpC3NlzizV8qH6QUc4ox/1QVMUICFLmbh2ygztkDOLVdYWKgRRQrg/pud6hEmCpau0+y6OHzPfKGC7EYNxQJgIV/hW1cLUVOabRW5tD0RhLkG9ZHLQdcgyMHWFOE7wJnHG55YrzFQtfnz1kO0jm+7AE41+XQFZZuRG3D0Ys7FY4vbOmM7AY6ZuYeoq51ZquH6cCzhAkDTnGkV0VaY39FloFTi/WhfvM06YbxYeSTDoPhAV3x36nFu5/7OmyqzPV9g6HCNLkhgiPAJZluUCDhAE2jjJ0NRTEccpHo2lmdIJolK9pPPjvsvIDakUdV4530JTZRwvwvHhzFJVuHCqMhuLVbIs48ZWn6Ed8sGdLoamYBkqWSYSjw57Lj/48AAyWJwp8itvrgrx26QYj+OUKEpQJiSe3sg78f66Qy8XcQhnCfG8VtXiqO8iSdCqiWSQnSkBAkF2FsRs8XtNXaFc0LG9EF1TqBTEHlYtGY8kt2qqjCJJ3DsQQ8bpkHbrYER/JOJNXT/OHd6yLGNtvszYEXv1+dU6c40CtbLB2A3xggjTUJG4L4xRJoQvEI0kVRUDFT9MSCQRE0qWYRkqIydkv+NStERjaL9ts922ubs/5EdXD/l7v3SW/Z5HnIChiXSOSlGjVjHzRkytYjLXLNIdeGwf2UL8OnE8lWWJ/a6Daaj8uz++SRALZ75vvDSPVdDzpsX2oc1gHCBLEmGcMlO3uLhWx/YiLFPjl99YfqSbxYXVOvsdm4OeS71kPHKA80mhNwrQtfvpWP2x/8THR0maCzhAEGROcRJjN+T6vT7X7/W4ezgmmDi5VYpCaJwhyNdRkrLX9Qii+59nksLAjpAV0CaDuSTLUGXhulKyDBw/pFzSGNohW4cjXjzTYm2hzG5bRB9vLFaRJIndtp0TneabhccKGjYWq9zaHhAnKcuz5XwdeBCSJDFbFw3Ag0ms+xRiSKg8tV7cbY/zPbzgCffQRw16j19XaSqEb08TcXjByXrV9ePHP/gUp5jg+Jo33Ys/TRGH60d0hx7doU+9bJIkGZt7I/7sx1vstp2c2DBN4zqO3KUkuy+MSDIY2DE3d0ZUSzq6onLvYCTOzM1i7s7YG/vESZoPamRZeoiYKWqKZx/Ih1HC1Tu9/Gx/eb3xEMlYliXOLFW5szcSaYMLlYfIPEP7/tk5STKGTvjMBGNVkVn8DNJTTnGK58W3Xllgr21z1BdJN5oq85/++g4AjYrJxlKNDcR99Dfv7dIbBcgSVErCbXqhWcp7D4c9V7j4S0KIlWYQxwlhAlKaIUkZfdvjd//ytiDNNSx+9a3VvG/U7nvc2R9CBvWKQaNi0h8L0tXGQoX3bnZIM5hrFDnseThehK5IJImMLIm1RlNlZEUhy1LqFZP+KOD27ggJmDlGLJmKRaaIooQPbncIo4RK0WCxWWDsRROjk/s1sONFbB+OJ0NbiTCK0TRRV6RphiRBo2oiSxKdgXuiJ1Yu6Hli137HYXviRDXXKOQ9rzhJTxDCB07ArKYgyxL6pFex33FQJJmfe2sBLxDJv/WySat2/32OnJAbW33SNKNoaVxcb+Tnk/MrVa5vCSHKmaUqc8/oDCfL0mMdbffadn5mm2sWWPsI4tQTSSmZcAB8ljW2P/K5tTMgy4T7b5beT3nrP9DzPMVJ9Mc+P7hywJ/+cJuhHZDEItW2VDBoVU28MMYPYjoDnw9ud6kWdeI0xfcTgjilXNDE+T8TfWLHF6latbLBTtsRZ9KyEGt+94MDtg9HBFFKrWigKpCkEmQiLXLshYzcgO7AR1UUDnsu33htkTcvz9H9nk+rVsDQQ8gy1hbKNCoFDns2aYpwn+57rC08PLR3vAjLULEMFdsN+cnNIxaaJSolQZ6eYuSEHPQc5htFamVDkBy8CPvYdRmECf1xQL0iyBmOH+EHMasLFWplg6t3e+iawnrz/vWvyjK1kpkTR4/j9s5AnDcmKcfPkqRzilN82VAq6Lx5af7zfhsPoW8H7ByNc6GXZapIEuiqwrkVkQaxcyR69TOT+7c/8lAUGdePkYCdI4dSQeV7H4xIJ2SqF880qZUNBnbAYOhx1PPoDH0GY1/0C2UZSRbGVze2Bvz4WhtVkfiNb53l0kaTgqVRKui8L7dx/ZhWzeKV8y2SJKN4jCy613ZQ5DYgjFfWFkrc2hnguBFYGrqqAOI5S3NlGmWDrcMxqiqk6yM7pFHRubU7IE2FqYxI84iZaxRoVk3++IdbHPU8kGCuXqBaMpBliQtrdcoFnYOuw63tAa4fEicZzYrJ0mR9HTkhZUt/bN1QLRk5wTtB9J6CIKVZNoVxSJxgKRoFU+Xdm236I5/eOGBltkSzanF+pfbQWe14PVApCaHI9DELrVK+pleLOnPN4ieSjOgeEzHHiRAJFj4HEcfxearoFQSfm4gDBOdgas70WSJNU/70R9scdMVc4WsvznNupf7MROtp/ez5Eb1xwEy9QBAKIubiTIlSQc9r0zNLNc4suWwdjDnoOnlSX8lSCaJUCMMRQu8kTZmpGGy3XfojjyBOiVOJwTjIRellS2NptszGYoWbO0PcoU+trNOsWYBEd+jz4WaPncMxs40CK3MVojgBSaLdc7H9iGpRJISkSYbtRqRZhqYqmLog7agKxKkwtoqilHv7Y3587YhW1eT7Hxzw3/3COrtHIgH7zt6IgqFi6Cqrc2XCOKU7EGkZsizhB0m+fh5HuSju/8O+i6mpnFutnfj36bVaLhiEcYrtR1yoCmOqTwIz9QIz9dN66rPEYW+axPHl5FM8D5ZnSyy2iux1HN6+fsQ3X136vN/SKU7xsSFJ0qdyDvXDOBdwAAyd8AmPFjhOrj/eg4+ilHpZCApkSWJtvszKXImdI5tSQWd5tsSNrT5JkqGpMoutwjERh0zJ1HjvZocM+LmX51lsicebusLXX1zgJ7faeSL4i2eaVIoGzQlVp1LU+XCzR5ymnF2qctBzc5OmNM04mpgOTnl3ZyeCz0pBR5UlNneHgjgrw9gNGIxDMqCWZUSZSOpQZZmvXJolySS2D0aUiwbLcyUGo4B5xNp672CUm+VUSzpDO+Cd6+IscHGtxl7HZWCLfm2tZGKZ9+ced/YGefpguajzt76+ls85NVUYSthujCyBtVDh//P7V+kMPBRF4sWNJkMnwA1iCoZKKdVPnElGTpjzPB5EpagzsAO6Aw/TUCkVdTRVJkpSTE0lCI/V0XGKF8b3f3cGbhCz17ZRVZn1B3iCJ+apmZhjPU7EAcKk97MQ3imKwrdeO90bTvHRoKgqugrTW8PQIMu+0BT6Z4IifflEHMPRyT1r56j/Ob2Tj44oTrl6t4sfJCiKxKUJd/x58YW+Av/ZP/tn/P2///f5u3/37/L7v//7/NN/+k/5t//23554zG/91m/xW7/1W/nPv/mbv8lv/uZv5j+Xy2V+93d/97N6y4/EUc+lN/ZFA2+m9LESBjRVIctAVRVW5kr8D98+z0ytQH/s5+rPLMu4dzBC1xQkxGtZpkp/HOSRqsHEzX5KaiiYKkmSEcYJNVUQU4IwYTAOeeXcDJfWm9w7GKHKcGd/TLWkE4Qpfhiz0CpSLxvUyha18qOVlLONArONAvWyQXfoc3tHJH0YuszAzsgyiVJB47d+6RxpJty4RnaIqshompgMZ1nG2A25szsUAx1JIkpE/PyDmKkV2Os4aHFKpaTnN8fYDdlrOwzHAeqkSJoSJLcPxnx4p4vnx8y3inzrtSUaFZMwjJlrFSl7olm0vlDhvdtdyIRzYH/ko2kyi80ic40Cs/UC/oQodn6lRn/sc3dvhCrHrM6VWGgV2dwVJFBJgmrx8USgD253cpJtfxxwZbNDmkIQiuF1vWTgBnFOZtvvOJMkiAdJNz7tvouhq6zMlk6Qc9t9j9mGlbvMSpI4GD8rykUNRZHy91n/HJuVnxd+cOUwJ04ddF1ubg24uPGw01V36LN6jFDQH4dPVB/vHtmQkbspXViro6kKm7tDojihXjE5u1wljBPafRdJEi6VaZqhqgqaqhAnQo09dkLWFyqcXa7y/q02AzvEDSLIJDR10sDMMmRE4W17EYszRVw/YudoTH8cIMsS2/sjVibkgP2uw5mlGrP1Iu9vdjjouey0HVRZBimbEEhSAkmiXFBZmSkJYVbHZnGmSJZlE7V9yl7b4fxyFctQ8kOmqanc2urTswOKpsorZ5vUyyKi7/xK7bHX2vJcmZs7A9GNlXhknPV0TXoSJEmkfQwmJIRSQXti1PcpTjGFH8RsH43Z7zgM7ADXj1Bl0fxfmSs/Nplg7IYMJ25izYrJXtfBMlR0XWG2XuQ//tXtPGlq5IS8fLZFrWzkpMv9jkNvJNzd3rgwy/Jcmdt7w/v3wrG13TTU3DVf1xRevzDLxjFBU71s5CImTZVPFJnVksHSbCkXj8w2nuyiEERiyHB+pQaIvdPxIvojcW8Zk8FGpaLTH/uUChqtmsW3v7p6goy0NFNCVxVmqhbvb3bzvW5lrkTR1Lix1Z80GqJJapkQahRNjVJBQ1WmLsewczSmXND55mtLvHurPXHzzbD9mFs7Q2RZ4d6hGJ7MNYu8+sIs793uYhoqWSpIckddh829IXONApoiXL6qRR0JGUtX+cEHB0LAkWQM7ICbu0NeOtvix9cPmW8U6AwEGVjXFExDeWYxhqrK/OpX1x7772LdtpElieXZ0kd25gVYbBV579b9PX6p9eSBoK7KFC0tJ4Q9TqT6s4zdI5v9ts3dfeEuOTshJ1xYb/Dd9/aESzNABhJZ7swLiCApSTRRNUXOv1vBY5QxDYV6yWB9voqqSPRHwgVHkiTevDSXv4csy9ht368FD7ouizOlR7oClAv6c4vPBdHAzteIWtmgVHh6vXji9bPHp8nVyyb7gRCK6Jq45p6GUkE/8fqn1+aXF2EY86NrR9ieaFifW/70nP6WZssM7S5Avhd/mihZOkd9l6EdMnYjyFIqJYPuMBDusZZGZmmkScpgHHBM4wWAIov7Jo5FFHmSgYxEkqTYboiqyryw1kBCkG5BnCuPug7vbXapWBrLc2VcP+LieoPrk331cfX0k9CeiLlBnAcOe+4jTQKaVeuEcyzAT24ccdgT5PbFmRI3JpHYlqHQrP7snTVP8dMHy9L5P/3Gi4AYsv67P7mZ/9tue0yapoRxikRGEKZEUYokw/aRzeWNFiDc5+YaBd66LEia3/vggE5fnAkCicnzZSQJ/CDNhV9HPY8/+v49Dvsu1aLBQrPEpG1IfyTS985NavYfXT3k7LL4//2xz8tnmsgTC73N3QG2K84KM3ULVYajvg+ZSPhcnBh03Nsf5UQLUxekbi8Qz+uNAjRFnrx8hqxInJ8kaM4375/VkyzjsOcId2FNwdJUFFU4dotSQRDSFUXCf8Cd/8pml52jMY2KSZqmSJKoLQ57Io1XU8U5RFNl7h2InthMzRIOgZmou968OJeTx9JU1FCqKlMp6ifIjPud+7WP40UMxn6+vvlhys8dS6cYu+HHEgVmWZanNgIcdl2WHlPLpWnK29eP6A59FmdKvHy2lf9bvWzm/Q5Zlp5qNDLFbtvOryldVUizLE99W3qOfuLPIvbajiD+eSHeJBmmWTb4rV86g2Xo/NVPdrh2tz9JvklpD1zqFRNdl7EsJf/cozjloOfyy28s0x4IsnLJUqkUDSoFjXeuH4nE3lSQS4NYuHwamszYjdF0CU2RGbshfpSgZRCEEd99f5/Xzs/w6vkZrt/tMbQDygWNX//6GtWSxQ8/PMjfw83tPrYbUirqLM+Wc1Lh8bNAb+RTKxuM7IB3b7Zp1kzqJYOipdMbefk9MhgHOF5EvWzQrJnYXgiSICZOHcVFqkBDJI9HCRtLVd6YGEQcNytSFClPCjoOP4jvm75ksNO2T0Ucp/hCI4oTtg6E6GG+WaTyjGv0FxV+kKDrCp4vEsHnj9UxwMQMrsyVYjcnCS3OlPKUT11TcNyQoRvl7uO9ccB//OvbNKsWawsVjnousiwMX2RZomTp1MoGzYqFZSq8v9klilM0Veb7H+xBCvcOh1SKBv/X//7VEy65vZGPaSj4gUgVTtOUK5sdwihlebZENhFs6KqMoYvkwUbFIk0zNEWs02GYIAGqLBEkKdWSjqbIpJOXKZgaC60i51fq7LZtIeAAXC/i2rDH115aIE1FakZ5VefmzoDr93r0RiKxrV4xSbMMS1c5v1I/Qe52vIjd9qQ3OFfC1FWWZkvc3BoQxSGKLNGqWyw0i6zMlrG9CEkSn12SZHRHPlGUMnaEwNbxooeEnsfrgdHkDDu9TjVV5vIj5mMfF/WKQbsvPifLUB9rNAKiHn772iEjJ+DMYvWBpPaPh8WZUi5c1XWFuaf0xn9acdT38rTuLIMPNrvP9TnvTepnQ1dZaKqsLZRxvJgoTk4QA11fXM/9kc9B16Xd9yaJwDIjJ0KWJRZnxKwiilLCOMGNUuoVA12T6Yx8kiQhSjKcIMbx47y30KwVsH0h0A7CGLKMvY7NlTs+/sQssz/2ieKUZtXECxOaNRPnIGK/6yBLU56BRcnSMA2VOE6IYhtVkYiSjLXFMlEszhFi3iJIqN2By0vnZvAnAvGlWTHjuHxGuFtfvdPLeR+Vkv5IIdTQDk4Ya/VHATO1+/XN8myZrYOxMMRsFPj2myu5ocengYOumIeVCzqLreJTU3dO8XyIYmHCCELI/9MOSZL42ksL/Ps/v8X3rxycijhO8TOJw55Lf8IznG8UePv6EQM7YHW+fCJ1r2Cq1MtGXp/MP6N5yBTzzWJu+jbbKDBTs3AmNfn6QoVvHiPKv3uznc/Z4iSlP/T5o+9tMfZC3rw0y9AJcx7E2Il49edn87p/v+MwUyvke9Vh3+XqnV7+NwVhkosU4iTl1lY/r1MlOWNohwydAFWRObdc4eJ6I39f3aGXG80psoQiK/fn45mE44S4XoSqSLT7Pq+fn6VRMagWDepVgz/+/rYQNhsiMXVa53aGPvf2x7kZ8b1DG3cyA08ziNMESVLzx7t+TDxJUh87Ide3BoKLmWY0KiZxkuZ8iSt3uvm6niQZVza7zLeK1CczmWpRz3kj+lMS1/rjgEbZpDGZvbp+lH8ekgQbC1V22jZxLNJ+p8lfIHgHRUnL+7LdkX/CHOs4X0qWJSrPaLL1aSOKU3aORI9ovln8VA3YTvHTh3rJpFkp0J2Inls1E9P8QlPonwkPjEe+FHjwLbtP9pT9QqI79PAnPNdp+ul0tvY8+MJegd1ulw8//JDf/u3fBuDXf/3X+ef//J+zs7PD8vLyI5/z3nvv0el0+JVf+ZVP7X1lWYbrus/02DBKOOoLh+Y4TkXcd3B/mPlRcG6xhJTFBGHKbMNEzmJGY5te38N2PCTgnetHqIpEvWxwLwj5xdcXaVQMDnseQSA21yRN6Q3A1FL8IOb/9wc3SeIM2wuxd0K+9eoC5aJGlkT5c+bqBoosXDgNVWKpZRFEMZfWKpxfruK6LmGU4IcJaZZy2PNpVQU5ceo+MV/X0JSUv/jxmJHtIWVQtlTOLpX4hdcXWV8o8V++u0UYpULskiWcX65g2z5HA59qUWM8UaYqioShKajyw9/J2HZRpQxJzkjiiLHtoCoSe22HzZ1e3uyI45DFphB5vHfrkJ3JwKc7dDm3WMRUBdHkWy/PcPVuj4KpcXmjxsH3R4xsj3bPIYgSXMdnJ45ZnTMpGaJgCMIAMgj8AF2TsAwJ3w/R5ZS1ORPHj6kUdKQswnUf41SdJnh+SJIIZzaJmCAQEcVRFJGoGUmcIGUyQRAgy+B53gmhkOvHXL3Xz4Uwnd4Ix4/zyDtJgvl6iZ97sUVvFDDXsCgaPPN1DrAxX2BoBxi6Qtl8vud+HhiMfbwgoVrSiZOMgql+5DgjEATC47Aes7k/+Bqq8uQGljqJEwZAEnHCd/aGHPVcojhBliW+/tIC1ZJBb+ihyjK7HZuDnoMiS6iKcPGfqxdIEhGft7ZQ53sf7OMFMWMnRJYl0kQnSlJxEHBC4hgUaUq8TtntOIK0HMZ0xz6NmkHRNCZuVhLtgUsYiujtLMtQVRlVlqmUdGZrJuWigaZKXJgcJjVFJpy445i6SNdRFYk4zfjma0scdl0Kpspfv7vHB3dcITCLEt6/3eEXqgbrCzUUWWZoi0Na0dIY2gG2FzFTL7A0U+JX3xIJBXONwsdyJDm3LJzAsoyHXPzGrkjneRby6Cl+NuCHMZ2+x86RTRAnXN3scPdgTL1kMLRDVubGT0xLUmQRy+kFMStzZWbqBeYaFivzFeIkZXNvmB/W3SAijBLOLlWpFg02dwfCFcOV6Ax8DE3h5XMzfPvNFToDj9lGkYKp4ngRRUtDkSUubzTpDj1URX6IFLk8W6ZgaoRRQqNinhAwicSpCvcOxszV75MvR3bIXnvMwkyBakn8tyhOsJ3whFOUqoi1I0lT9rtCaLGxVKFoajSrJvWKRdHU8vUvSVJsL2KhWaBc0ImTlBfPtugM3FzYlWYZv/bVNfbbY96+0SaMU0I7ZOyE/OJXlgkiEYfeH/l4foypixQOP4gpW6IJkiYpREIE1xn4ZBPCS3/kC6cqJ8R2Q/xQCDW7I5/eKECSJEoFPXf0bVUtFmdLHEzcQRCme+iqQnfgYXsRJUsXzsmaTMHQnnsPml5rghx/v1mSphnX7vUnYhUJN4g+VlJHvWLyna+tsde2qZXNp6Z9SZLExbU6naEvkl2qP5tDzCehPfDo2wFxmuKMI8I4oVoy6PSF2+Jxd/0ozk667U9qOUWRKRcMykWVaELOkhXhOishBJ3eRPB70LG5szvkjQuzzE32w+n+PW20TkkOfhATxiklS3us6Hx6n9cqJgVTe+RjLUPE5Y6cEMtQ88bZixtNBpN68VEijlfPtbizPyJJUxZmihj6o9M1VubKFEyVKE5pVMxnun8MTXnq65/iy4EffHiYi8+P+h61kvGpDaDfuDBLrWTgeCFri1UKn3IDr2ipgtAsgaFJjN10sl9mxHGCNdkbC5bG2IuIwpMqDkkCTZUol3XicDpIEdEcrapFvaKTJAm6qnJ+uYZlqrxz7Yjdjk2WZnSHPqWiwbkVlWpR59e+usZB12G2brHQej5S7oPkAuUp554prt7t8sFtIZxp9z2+cmmWr788j+fHbCxWn0jSOcUpvoyQZXHPB2EsbmIkwihhp+2w0LQY2gFBFCPLEt4DKVbH979vv7WCOSExlSyVt68dMrQjdF2mXjaJ4pQ0zXD8gM3dIYausN9x2e84OQla1CEZQzvAMlQUWcpFCY2KyeX1BttHNstzJf6HXzrPf/neXQBW5stc2RT37X7HYeQGlEwNJjVyOKnDi5bGpY0GnYE4f2wdDBk6IWma4gUyr51rcdRzaNUtVucreV3iehFDJySbmEQ4ScRMXZAk4yRFVcSwUVHkE3Hhd/eHvHP9CBDriaEruUBcksh7YlNzialo3TIFEdKeEBGLlpaf/ftjn/2OEJKO7BBDV/I650EzFUW+//ODa+CDj31ePFjLSRKPJUi9f7vLtbv9/HMoTtKDQQhwdE2kOVdLxjOLv49fewVT5de+ukp36FMu6qwvPNoR8BQCiiIhyzIpwjxJImPsS9zdH/HLX1nl9RdmuLHVR562AiVhz1S0NHENjnziVBB2N3eHbCxWeeVcix9d9Vmeq+CHMTttGz9MyDJhmFA0FS5sNHj9hVnWFir83t/cYeREBGGCLIMii5pb1xRsN2Jzd0jR1Phgs0s2OX/8+z/f5B985wJBKNzEwijhsOdSsvSc2DG9v46fBRRZIooT/uzHOwRRgjwRpP/CevOhZDFFkWkWdP7Wz60LgwbghdX6ifPu3b0RvclwdWpsYRoiRXhqUlErGRiPSOmTZel+XBlP78me4hSfN25tD3Py7sgJefX8zFPNhdJUuMtqqoyuythehKErX4ga2tAV3rgwy15HGEC9dflhs4ggSlhsFfGjBFWRefV8i9//7l2CKGGhWcA0NNzwvlB8v+0QhAlBKETuSSJceZs1QY5aXSjTqpiszFcY22HulB9GwvTih1cPACFylYCvvbSA7YYgSTQqJt9+a42bW31KlsrfvL9Puycccnsjn1bdxDQUsixDU4Sbr4QQx5mGymHXoTf0ORq41EoGQRhjmWVeOttir22jqTKzDYskzUTNEyV5ukh8LKncD2Pa/YRqUecHH+wTximyJMw4luZK1C1DpDRnWW7Ok6QZ1+/18wQ0L4x5+WyLS+tNSpbO1uGIVtVkfbFGu+cy2yigjXw0VRDR4X6dJMsSg7FPb+Q/JOJQFRnbDQkisfY+z7o67fU+7/W5vlDJe8OtmvVEw8S3rx1ya3sAiO+4VHh8UslxPKq//SBevzBLrWxgu9NewReDyPas6A09jnouy/NlStZHf+8P7rfasRpx2ruulI3HEv1UWSaKxbzb1FV2j2xBfEzSE+ve9Xt9ekOPH147zGte14/45a+ssLk7EEKm1Qa2F7JzOGbkhkSRmDuoqky9ZAizuzSjXjFoVS3KJQPLUNg6jFlolpAliNOUTt9npmbywe0uUZJSNGQ8PxP30EaD92512DkaM3Z7kGWkUoaESEurFHUqRYNa2eA7X1tl69BhsSXSuK/d6+N6EWMvwo/EbEGWZT643aFVMykY9/urqizheBFLM0W80EQCokQY+T2YevHgPfDgz2eWqhi6QmfgsTRTfGT/zPUj4iSjXNA+luiiO/RyUW1v6ON6EYszJeIkpWg9//zjFA+jPXGFN3SF2s8IUfVrL87z7//8Fj/68HBy/j+9jk7xs4P+2OfeZA4yskM+vNPNxaztvkfZ0nPjJVmW+bWvrnJzZ4gsw/lHGF/1Bj539gasLZZp1U7WRL/4+hI3t4aEScKFlRopcHN7gKEpnFuu5rWbaag0KibzjSK2H1It6fzJD7fZ77pkZBx0bNYXq5QL016ZcKkbOSGaKgujtVQk4uqqws17fXoTw0dhQF3Ma5OMjP2ek5tW+2GMokhoikgRj9PsxN8w2ygQhInYvy2NME7Y6zikacZMxeDG9oCpk83oykHO+znqecyMLWbrFgddh6WZIpqm5HVupagL0+kJLF2haKqTHofEylyF1y/MsLk7ZKlVZPvI5vpWjyBMKZiqSFDKMqI0pTfUyZBFr1eSMDVxnoiTFFkWhjErsyW8IMEyFM6v1gnCBNsNWZ2vPFSPZ5N0EcELO7k+ri1UOL9az2uA3kikn8SxmDltLFUnKScSMzWTD+/08udqD/yu2XoBXVXww+frH37auLM3ZOdwTBAl9EcBr1+cfWQ/6BSneBSSJMEwFGGgCRia+rEM+b8oSNMvn4rDPGb0DSKR/ssGVZEJ44SRHVK0VFTlo/EWvhir6yOwv7/P7OwsqireoiRJLCwssL+//1gRx7/7d/+Ov/N3/g6adp9Q6zgOf+/v/T3SNOXb3/42/+gf/SMU5aMv3FEUcfXq1ac+zg9TtjsBfTtmpxtSNhUUWaLbNhjOf3TSUBClyFGElmZIvsPNGwO22gFxkmH7CTIwGgWULYVuaCNJ0D0I6R6I5l2vF+H4CSMvoWRI/KmdYGgSW3sehiYcaoIwxR4cUJAMxigM+hGun2IZMgt1jbliyL2jAFWBSysF8A64efMAN0jZ6QQ4XsIH2x66IhHEKS8smtTLGgt1nUpBfPbj8YDhOCLNwFBhtRGjRR1u3Djk4HDM2BMON1locHgI791xcX1BWp+vyZClyKlEQcsoMXzoO7l7GBBMrEnHA0jdIzqjGNtL2OuGGKpEGGf0TBlv1KFRVhn0fFw3JEnB0GQ2N+/gD3XhcNcJcQPx+wadXdxhyPW7Nq6fYqjgjBOySGFny8Puims2cmM6w5jewKFkKhBFtDsO710JsHRR+Dw1BMiP2D8YE0QZrZpKYkfYo5iRl6AkKbEnoaYZJLC/P2CuqnH9eufErxhP/maA7likNFQKCmkGZUthpqpx84Z4jgy098X/Pio+xlM/E+x0A27s+kRRRpRknF0QbiyrMwbaRxzg/frX1/iPf3UHx4946UyTtccMrVfmSgRhghfGE6Lyk9eCM0tVNneHxEnK0mwJQ1PY7zhsHYzoj0RyRpplvHimievHBFHCG5dm+d/++CbtgYtlSJxdqVKbkDZGbkizKpqUe52pa2PGwI0oGCpIEmEo3Kj2+y7v3+7wtRcXmKla3DsY8sFmF02R+bMf7fKNVxd5+WyLIEr4YLNL0dLpDn2iFLJUHERUGREPKIlY3aEdsL5QwTQqXL3TJUkE2aJc1NE1JSds1coGZ5dr/ODDQ+H0ScrQCblyt8dh32VlrsLKbAkkiZW5MhLk0d3TWML5ZvETiZOVZSlXqR/HrZ1Bnn6w0Co+ldh8ip9+jNyQP/juXfwgZnN3yFyzQH8cEMUJkixh6iqq+uQ1xtRVwjhlv+ugKjJff2mBxVaRD+/28PwYCZAlcV3O1CxUVUGSJGbqFttH43zABvejUhdaJRZaJW7tDPJmz/Sa1VT5iffJ42K1XT/kz360jRckXFMkfumNZRRZ5t/84TWCMEFTZf7Hb5+nWbW4erdHkmQEUZw7pJ1ZqqKpEu9cP2LrcEyWweWNhhiqOiEzk8aJH4ihzYd3urnz3fmVet5YWWgV2T4c56SxZtXk4kaTDzbvNxrSTCRembp47Zl6yF7bFu6cBR1TV/mf//Yl/p///n1sL2K+VaBSMtjt2FSKOoauULJEU6M9cOkMfdJUpCCkacbKXBk3iGjVLC5vNCbEeo25RpFf+soyvZFHbxCwuF7k8kado74vCCaawkzNIk0FUezBaNInYXqtTQk0v/Lmau5CGCcp2wcj4eAO2O7HE3GIz/Vhl/QnQVHk/P2c4mHUywZHpkazIu7bMBLNuJ2jMdMG4pRblKSP+g0S9aKOachkmfi8R26IocnEckYQ+QztEFmBhWaRH34o0sLaA49/8Ksv5LG955Zr3N0fkWUZa/MV+mOf27siuadoaVxcbzxEwj7o2vzOH9xg5Ib4YcI3X1tkY6HKhbX6Q42NR8XlmobK/BOae+dX6yiqTJJkkzXq8We257kmn/X1T/HlwMg9FquawciJaNU+vdd7XDz1p4EsA01TCKM0FxBrqkwUZQRRShAFFC0NiSkB+OQiESfC4TaM0twVPUNClmHoBPRGPqNrbb71+hKr8xVym3kkVFXGDWL222P2WkV0VaRevHr+o+0hs/UCthcxskNKBY2FZ6zLR3b40M9fO+Zef4pT/LRBV2VW58v86OpRblbyn/9mnyQTAmhNkwnDFEmCubpw4XaDmGbFPFGrr85XiOIUP0yQMvju+/uEcUKcppxdMnD8kCASZ/3jJhSKKmMZKnGSMtuwuLk9yE1VlmaKHPU90jRjtlHgsOeiKjLtvofrxSxNHNl2Dsf571MVmbKlM7BDZEmk0753q0OaZuiacGSenj8WmiWubPbwo4RaQed///Nb2F6MJMG1ez2ROpIJd9lKQcdV4slQUqJWMUmSNCezRnGKriq52xyQi9+nKBc0DF0MR1fnK7mQIk0zkjTLSTBxLAQd5clg9Nb2ICeNx3F6wqV7Kn4AWJ0r58Y2rap5IvVrfb7C7d0hQZQw3yiccBb+qHiwlnuUMy8I17/jGE6SmKY47tz7rFhbqHB7Z0AYp8w3Cyy2SizOnPZEngXr8xWGdsDb1w5oT5JzEzvix1ePWJ2vcna5zgurdd672RHphjIc9VJmahalokbBVBm5MUEsBlv2JNWlXjbJsowrd/oc9jz0SeJGlmVUSyamqrF9YNMbBqwtVPlws4sfxLSqBfwwxvEjbDdmtz1m7ApyhRfEeeJMu+/y/q0OcZLSHgRUioIIOz0D+JOEnSmmZ4FayeA//tUmO0djNFVBliTOLKnM1CyqJZ3bu0PiOGWhVcSa1OnVknHCnf84vPD+62SZIHxPyQNPE2nrmiKcJ4/GqIrMxmdY453iFB8Fx693kWSdPFHEIUw9ethuRJJmREmCqal5L+3zTqOcng+mZhAP7hv9kZ/39y1T5fJ6A0WR+carS2wfjlEUiTOLVc5KVbxAkMOFc67Yr5M04/xag52DMZoqoyoS+oTctTJbZl+2KVoqvZGPYqhsLFYYOfcFsmM35O7+aEJkgrlGIZ+9XLnT47Dj4AaCOKbIMp4XY2gKuqZQNDVeWGmg6wpbB2N2jsa0Bx62H+FOzNRm62K/vLDe4IdXDmgPXFo1i62DEbttm7KlUynoQmCfiVSyvbbNdntMmsDv/de7uF5IJkksNIrUK4L0PSVc+8cID3GS5gIO8W/3r6WVufKJOUapoNGqWqJnq6mszpcoFnSWZ0uM3Yj9ro3jRRz1Pc4u2fzcK4v5c6M45Se32qRJxmKr+Ni1+0E8qtf7rNenJEkPGW09Dg/WPCMnfOq8aNr3Cib329//1RdYnn10jXM80frLhHv7Q/7dn94kTjJMXeH/+LcufWQTnnrF5NXzLa7d66NrCl9/WZzdXT/k9//rvfye+YXXl/Ozw3FUijrv3moTRgmz9QJOAPttIZgumCoXVusossZO2+ao69AbBpiGwmKriOPFzNQKfPXFBYZ2MDF0K3J2qcq7tzqMnJA4zTA1mWm0sR/ENCsGbpjw4w8P2Nwb5Qnir55rUi4YGLqMpiooikQQZsQJNEsG51crFC2Ns8vVvFZKM0gTkRBzdqlGlKbUSga/8NoSpYLOm5fF39m37xBGKaqikGURvh8jKzJBGHNvf4Spy5RMnbKlsThToj3wcuF4s2qydTjO3dEvrtd589L9e61eNplrFugOfSxdZfURc8qlmdIjP38QDu/TmVGlqHNhrf6RhRzTxMUgjNk+stnrOPz4+hHLMyWKlsaLZ5rop8TKj4Vp8s1co/Azk3Jycb1BuaAzdkOu3unx8rnW0590ilP8lOB4fQfkvJQphk7Icdakrqt5AsaDuLc/5P/1Hz4gmKTS/Z9/4/KJ9CxZlrmwflL4MU1yjZOUK5tdYUQhwUKzgBNEeEGMrsr0xwGuH5EhzBKWZ8tEE57e6xdmuLU7wHYjkGCpJbgTw3GAZaoP9bJqJWEqGSepEDP6MZ2BhyRJaKrGQVe8VzKJNDkp4jjeG52pWZxdqvLdDw5IkpT1xQpvXzsSBreSRMbJ527uDtk6HJGkcNBz+eqlOW7tDUmTjKXZEt98dYmfXG8D8K3XlhjYAde3+li6wusXZtjvCF5He+hTKerC7DNMmKlbmLrCvYnIsVbSeelsk4OOiyTBK2dbHA097u6NMHWJX31zBWSJsSOMZeYbxceSyrMs48ZWP+9/rs6XmW0U6I18CobK8mwJTVXyGmCv4+S9ThAmGc4kUUSWYHmuxEHXRVflRyaqi3r9i0Wsvr7VE+KTDCoFnRdW6xjV01rjFM8GN0zYazuEE1PZ3Y6N78df+jSOB/RtXwrM1Q3uHtw3in/17JfvrG1oMlfvdBlOjL8+KrfgC331PXgAybLHX22e5/F7v/d7/M7v/E7+32ZnZ/mLv/gLms0mg8GAf/yP/zG//du/zT/8h//wI78nTdM4d+7cUx93d39MavjoA49BMMhdr1PNRCvXWZ0rPfGwetT36A59TF1hZa50Qjn52rHH7XcdIu3+xdyo6LS2R/THAXGSYpkqUqHBYqtAwVBxrrcZHNqYxYzZVpGo7VCyNGbGPbqDgJKhculMld/4lbNsHdqi4NJdNCVjHMSEQ5lytc7//PWZhxxSbm4PGB8ecetwSJCoWJaOJmd4qcUry3MUTNEc/f+z92dPkp1neif4O/viu3vsW0auQCYAAgRIEKxikRSrVKWSutVqLX2pqxkb0/wHMl1pzDRmutWNTGZjI7O2tjZTj9Sa0dJdLNWiUhU3FEAQe+6ZsS+++9n3ufhOnMzITKwEWUgyHjMaERkeHh7u53zf+73vs2wfOXTaOU7koCgKuibx1eevsL7YYObFbM92q8JuqWvzwf0R9ZpMJkUkSU6z3aLWhKvnWvRaFlfW29Tt0wNQrTHhP/9wmzBKme9YdNUWx/5UNEoMjY3lJmGcCSJ9w0CS4NVFlf/2s/1yeKvzza9dqFzLA3nCScmrazLDyOGlZ0TDeOLGPHOhS69tcm2zU32uMy9mf+ATySPCKK2czl96YaUkpn8ybu5M+GvtB83klZUGz38C8f9RpGmOuTXGD1JmyQRFkbFqGosdi288t1g95s0bfcZOxFLX5qUrv7qH4Hs/3GKul4jItyij3urQa5ksLtQ+Fen0SSKupV6d/+vfeeETf1ZTFa6e737i405Qs7THGhJZnpNlBTM/Ik5y9gc+lq7x2gvLzLyYP//ZHqoqsbHYwDQ0glAc8I7GHv2Rz/bhjCTNyPNCkERkGUWSWezZNG0N14spELHd24cOg2nA8pzNnd0JINTxXphwf3/K164usjJf59tfXeOND4+4dzDDDxLaDZ35jnCrur07BYQTX93S0VWZD+8NaNZ1uk2TqRshSVTOAQdDj+//+B6GrtKo6dRMjeE0oChjlZO0YPtwhh+m1C2NmqWxfeBUa4Djxez2vV8o4S5OslMH5cOh90QRR5xk3D+YkZTEhiBKmbpxFQ//q6DkPcMD3N2d8P69ITMnZuKG7PZdLF1BU4RQQpGlj3QlzbKc+wczhrMQP0y4uNoGYOIIsmZQOluuLzYwdZW5tkWjpp8Sgm0s1rmxJQQTkiTIISf4qGv2/sGU9+8M0TSZbzy3/KnJO3f2ZhyPAoI4RVNlPrw/Ik4yotINL0lzfnr9mBcuicZFEKXYpojhPGkWbB1McfyETsMkzXNubI3pNEzcIMYPhWvgK88uMHGiqlFVFHA08k4N9rYOZhyPfdIs44fveFimymgaYugKsiTz7LmuILxKsFWuHSfJF6au0moYLHRt/p//928xdkJubU8eep98QZaxNeY7NjM3Ri1dU7O8jCLt1fhbv3n+iQ2NuqXzD//mc6f+7Xjs8aN3D+mPfdoNk998ceWJrhAPrx/Lc7VTJL27u5Pqvc6yglvb42r/kiQRmXpvfyYEP2Uk6xm+PFjq1XCDhIOBh67KRHHGza0xzZJAVxQBYfz4mUcCFFkM2Jt1Ay9IkKScTtMgyzImoUjZqVkaNVvDMhX2jl2W5+tIkkSW5ez2Pc4tNbh/MCOMs1NpVe/fHVautF6QVISwh/HmjT5RmhFECVkursW5loUXJqeaf58XdVuvREd5nvPj9w7KJCGbrz278Fj9PHUj9vousiyxudT80ri/nOEXi83lZrWnGbryhYh2/6oRxin39qbsHrvs9z1sU6VhC/d3XZPZOnRQFCHGmnkxRaaQPVnlRZqDVHbpCqnAMgWxSFOEOGR+voamKmiqXJF5/DAhSjK6DUE6jpOMrBDJHBtL2ccKqj4Ksixx6XNExW6utCryliTxxP31DGd42lEUBTtHDo6fYBkquqrwmyUh7n/74+vCiRlIKMgLhfnSLVVRJI7HfuVu//4P7vEXb+9h6gr/8G9d49p50bX6wTt7yLJEzdLFWXsS8juvbgLgeBF/8sYObpigKjJfvzqPrsnIpdvrwcCrXJFBuKlmeVG6wom1JUnzSkQNoj4RiSEZpqawulCnWRN9tuNRwPqi2J/jJGc0C6t1W1EkOk3hlO36MWMnQlMVigL+8oNjrm2KXoilK1WdBLC+UMcqhaKKIlEUVIkhi70HPZ1zSw0+vD8iTXOQ4Opmr1pTTj6DmSeEZq26Xg09O02jGiJHSVYJOECs1+4sIY4zmnWdr9Qf9Gt0Tak+g0dhGqcH6ccjn/5EpIPUbY0/+skWYZTxytVFvvrM487kT0Krbnwqod255Sb3D2dQiPdrY+nnF1tYhsrzF391+4a/CBwMPEazEMtQ+erleW7cHzN0IoJImO2EccZPbxzzk3cPidIU05BJMo0sL1N0ooRCgsHEp8hBN1SCSIipVEWu3MBrhsLaQo2pG5NlkBcFsizOwp2mMHi5uNpiY7HJypwg1B2PfGZeyK3dKQcDl/muxd947Rz394XAS1MV5toWRUEl0pZlibEToZcpOI6X8P7dIfMdi4WOfWqdGzmhIGaGKW6Q0GnoqKpMXhQYmhB2fFpC31zLYicU5IcTw4UnYTgNOBz6aKrM5nKzev75jsV85ywt8gxPB+ZaZkXWtE31E9MKTgTUR2OfiROSZsI5/km9tF80iqJg+8ipUq3WFuqfeD44GvlVOk8QpkzciF7LYq5tVaT9oih4/b0D9o9dLFPlmXNtjschRQHtusGltTYvXZ6vSMl5UdCfBLz+wSGjWUinIVyDG3Wdy+tt3r09Ii5FceuLjUrAAbA/cJElqUr1Dcs0oTwvyPOcnWMHRZb5zstrXFxrY5oKb3xwzM6xgyZLzPyYLMtRFAnLUAniFC+MeeXqArah8sdvbHP/wGH70OHccouxErLbd9BUlZeu9NBVlVs7YyQkdo6mJKV4VZZkbEuYwbTrBmkmhCZ+JNbhdsNgZU70oe8fzJAkQYD9KDRsnXPLzarPuNirk6QZzZrB6nyd4zJ1CeDO3pRXri2hl2Kiu/tTFso6NS9Ev3ntUxhdfVKv9/MijlN+/P4hMy/m3FKD8yutauak64L4/0l4q+x7QSlSudn/SBHH04o3bxxXdX0YZ/zsxjG/8+q5z/18L1ya54VHDITu7Tv4Zb8hywqu3x+yeyTETfNti69fW0SWZfqToHKOTrOCIHogPk6zkl4pSSKZz40oioIkybBNjWvne9XsNAhPRFUyvZaFqatEccaz5zq8+twir79/xNahg2UqNOs6/ijg1s6EKMnJ8oIgTLixNSlrCx3TULAMlTzPqVkq7YZRpa0sdGy+fnWR6/eHlVvspbUWf+97Vz7yPWrVdCQZVFWiVTPQVAk/SkmzAl1TWF9osLnS5uJam2ZN540PjwA4GLj8nz+6x9SLuLDSol03ubUzOSXigJKL0Hdp2CLt/GHkeVHNRNoN4zExx2EpFjl5Hq+cu34Sjsc+/XHA9tGMOBFpSJauEMQp7bpRph3mpKlIVdE1heE0ZPlT3Idn+GgcjcTntdT99XkfFVni69cW+ZM3dvjx+wdnIo4z/Fqh3TDY67ui5yXBcxd6vHNnAIUwSV1b+PTJ2T94e49ZkFT16Z//bBckiSjOmGtbj3Gktg5mvHdngKbJXFhpcTj0xHquykydiIkT4fgxeVHQqusMy96Zqii88uw8K/NiP5p5Mf/pL+5wd3eKpik8d6HLQqdWCUjDOBWmlAXoqsLFtVbV/yuKAsdPaNYefP2zmwPG0xBVVdAUie3S1LBuC+7No325v/tdwetM05w3PzziYOChKBLfenGF/jhk6kVoqkyR5xXxOUlz3r83ZH1R/A1ZVuB4cdWLNA2VWpphl8aVbhCRlCTwPC/44P6w4nkAbD1kfuP4CcNpiKpKyJLE1tGMjcUm7ZqBpiqEcUarYRDrObom0ps/Cie8oxMcDDy++szCR5pGzrUsdktRqK4pQtBS9j+PRr7gfX3GNPYvAn4oOGl5UbC20KBZ+/Sz5tE0rObafpQSRAnw+Q3Vz/DrhTAIKwEHQBTnhNHTL+KYfwqNViePGDDsHkcf8cgvL+4fzLAMDcsQe8XdvWm1j3wWfGmvvuXlZQ4PD0nTFFVVKYqCw8NDlpef7ML4/e9/n4sXL54SWOi6Tq8nNup2u83f+3t/j//0n/7TzyXikCQJ2/7ki77ZyHDDglZDYnkuwzYU3DClbpuEicTRJOGZc09u/sy8mONJAih4EQydjPMrT94wm5HEcPZAhdtq1vjvfmuR+wdT7u7PRCMvh91BBIRsHfk4forjJ9iWiayoeFFeRWB1miYvXVlk4GTcP/K5vTuhPw6QZXC8hPXFBgsdiQ/uO3zrpVWmrkgDaNcNdgeHjJ0EJIkgymjY4v1SVIUChUbdZm8YsT+IaDUsNhWZTsNkoWtj2zZRJjH2cubbdcI4RdMUNpdbvHtvQlaU8TNxTsM2ubDS5OJ6h/mOJZo5kkLtocbCO3e2iJICL87xDz0UWWX7yKdha6iKgqyoXFxvVc1vXZNp1gyuXZgniBLR6DFNbFtHVlMMM4AyQl6SJFRVQ1WhqWlYps5zlxZp1nVGbky3qVG3dXa3HPJc5vJGl5mXcGGlyeZy65RrX5xkuIEY3FtPIJ41ajFx+mBg3GzU0XRVxDLrymMOxx+FV65aHI99to78Ur0MUz+rruW3bhyzNxC/5+6Bx0KvcUp9/auEZsMiTEDXc+IM6jUTwzBoNmrY9pdzkJflBTM3IssL6pbOXMdit+9gWyqeF/Hh/SFXNtrc3Z/h+jETR5A62g04t9wAqeDewYzhKCBKRTS3JgtRkapKnF9tc2GlRRRn3D0QIo84yYmTjJvbY56/2KPbMlFkiSQtSOMUP0p5+1af5y70eO5Cj6kb8ub1AxZ6NkZJSo3LOD6vJIbFaYAkCcX+4cCrvn808gnjFEtXeOvGMcdjn5ql0R8HrC/WWeiY3N6ZYFsaSSoiFoMwIc8Ldo5mmIaKF8bESU7N1IiTFMcX70EYZzRs/RPj5j8NXD/meBzQqoto4zwX8YZZXuCHyWP34939aeUm/LOb/cqdyytj7T/K/eYMTyfu78/YO3aJ4xTHi7Et4d4qy/DS5XnWFxsfmb6zfeQwnIbESUZ/HGBoYn1P8xw3iInTlCjOWV9ssLHcZLFjs7nUqIZmUzdCkWV+77Vz9EchvbZxKhpbkaXqmgXRCHH9mB+8vV86wkGS5Pytb1049bqORj5ekLA2X6vc+wGyNGfiRVXk5nAa0KoZ1R4JQoQ29UQjB4Tr237fpW5pwlU8K6rHj6YRYZTywT0RU35ts0u7bjCahbQbQrymlOTtR4mkR6U47WDoM3MDNpaaTNyYxa7NhbUWC12LLC+I4wzHi8TAom7SrhtiiFoOebwgwQuS6nddXG2zttBgsWuzUb7XlqkRpzlFIaMo8MrVRZ670Kve6zBOhUjkY4brfpjRruvESY6hKRwOPHot87EI1Lt7U45Gvoio9WNevPJAPGvpj6YbPHhP0hyG0xBFlkQa2yPOLGf4q8dcWziv/Ps/vU1eFERJRhgJYXHd0gjjhCQVIomHpRwF4vOtmyozP0aRZaI0Za+fCPKlIjPXMnH8GMePkdAxDTFoNFQFVZWxDEU4ofVd4jRn6kZYhkqrbjy2Tz76dZzmBGFCULrFZXkuRBPS49G6nwfjWShE6GmGpimMnJDbOxNADPgbtsbVzQcN2DTLubUzqda1W7uTyhnoDL/auHa+R6dh4PgJaws17Ke8oQZwZ3fK/f0pYyciTlIM3aBZ01mer+H6CUmaM5gEREmGIkuM3KwiOD0JJ9/KC3GvqKoQIJ5EXud5RlEU3NmbMtcy+cbzi7x7a8S5ZeG2OpoGzHVMWnXzU5sPfFFY7Nr8zd84z/EoYKFrfWJy4RnO8DTiaORXpEzHj3H9uBpIapqKpEjIBUgU9BoGqiKGoLapsl06t93fG/P27QFFIWq+//d/eI//x//tNwFolAJmSUKQox/a05MsZ3HOQhpJNGyNw1GILCvkeYEbxIxmMaoihrj39vfoNUWPZL/vsjbXYOKFdBoGY+dBjVkUBedXGoxmMZ2mwf6xS5RkSJIgLT5seFDkBW/fOsY0NFHXWBpJlnOyqGVZjiRJ1MwH9a2uq/z+a5uMnJCapbE6X+fW9hgniHl2s4cqS0zdGMtQTtXU7YbJt19a5frWiI3FxilRWH/8wN3WCxJW522iJEXiNMH0pKZ2/EQQN8v+ZxQL8lgQpZ9ZROoGCfdLt1svSPgP/+0uSUkW/KPXt1hfanxuN+QnYX2xwd947RzDScRiz6L9CWkFZ/jiMXEidsqh/Wga4Pox8x2Tpa4l+gBpjqrI3NoeoakKtqHi+gl5JpK5sqwgTQv6Y7Fu5EVBmmTUdKXqMV9aa2PqCo4vjEN6rZQP7o0wVJkwyZi6AaapIiMxcSNaNZ0gSsnynNEsYH/gEkYZeSHSHD+8P+baxS7dmoFlqrTqJm6QMJj43N2fcWWtjaULIcnSXI2joc/+IGXsBNimhuvHHA59Zl5UGhgIIxdJgu+8vA6IM++sTIq5vTvhK5fmPpGkvjwnar8kzWk3jCpR52GEUVolDALcK6Y8c+6TDXXiNGfv2MHUFZb/CogLZzjDo9hYatKsGWSls/snmQFpqkx/GuB4MUma4wZJ1a/+NKLsIEoJIkHe/Xmd0g+HPkdlrXM08jga+Tyz0aHxMYQc9ZEexKOvwQ8Tbm1P+K9v7Yl/mInzzndfXsPxY9H7KNPGTmqf8Sxk6kQgwc6hSDC2DFFT1Sydv/HNcxwMfFoNncWuzU9vHJOV5PaT9yzPBDm5VTfQVYXDoUcQRmiaSFPeOXL57itr/P/+7A57xy6GruAmggznGyqWrlBIwnDLNjX+4Mf3CcOErQOxL+R5LuomxHovyzG3thWeuzBHlhd4gXA1jpOcTsPA0BSe2Wjz3Zc3kGT48N5ICE4LhSwTj9dLoVyrriNLEnFy2sX5BEVRMPNjFjom+wOfZk0nz/NK+LB1MGUw8ek0TRRZRlcVHv6YLEPB8YTrfl6A8Qlr+Ake7Td9Uc78b14/rmrliRPxnZfX+J1XN5h5MStztcd6r0+C/Qh5/dPOX58m2I/Urg3r5zdleex3PNSnybKCnUMHJCHWmDgRdVvnuQs9htNAOHMD/djn3HKDVr0gy3JqlkjInrnC9Kpu61w0VYIo46XLc5Wg2A8T7u0LI7nRNOXm9gQFqnXzv/xku0yvK19QIYyXZFkmSkSNjyThBjFprrI6L4RMz250GM0CCiTOLzcpeLAGW4bKS8/Ms3PoYukq157gej7zYwbjAFWRGM0iuidCpQIMVWbslaaVto6sytVsom7rqIrMztGMP3trF1WWCaOMG1tjvvHcMsZD63ma5dzcHvPj9w6ggL08YzAJ+N7XNqpeyv7Are5pL0gwdeVUurGmyYzdkDwrsC0NVflk4zkvSLi/P2MwCXj3jkhqm7oxnYbB8lyNJM3ZWGww8xPiJKxMSh9OhDzD50OVxNF7+sh5Pw9ee36JP3ljh5+8d8j/5W8//2uTQnKGMwgDjR6Ol5T1q8Zir8ZkFrG8UKP5GYzVCmTiRMwEwliYxB4PfdRyD6qZalUr+WHMX7y9V+2dh0OfPCtwghhDUwRvqTzLe0HC5fUWc20Lx0+4dqFLu/FgnxnNfN6+1SdJhbnsu3dyfvtrD4Ro51datOo6W4czXn5m4ZSxnCRJXNnoMHZCZElit+8SJqlwvJMK7h04LM3VCeMM01EwtI82/PLCiKkjxBOKLLNz5HF+pYEfJsx3bLI8pz8J8AKRSCqMrlKyHHRV4me3BpXhyx/86F7Zc5WBiJkXMdeymLgRdUvDNjRm6QNxxWLHJs1y8lw4tQ8mPmNH1CDdpln1NcI44+7BlOW4Xr23hq5+pAmxqgiRx8nn9KSa+uEz3kqZjJWkOa26zju3B9XZ5+S5HsYJj9E21Cf2PmeeEK23PsVZ9eNwa3tCVJ5Xbu2MeenKwkemDT+Kxa6oO/K8EOKaLyD5+AyfHlmWMy3FXZ/mrPU0oN16+vvmefr0RXGE0enXPJr5H/HILy8sUyXL8qrP/0k97o/Cl5bx0Ov1uHbtGv/hP/wH/u7f/bt8//vfZ3V1lbW1tSc+/t/9u3/H3//7f//Uvw2HQ5rNJpqmEccxf/iHf8jVq1d/GS+f5bk6UZxhGsJVLc8LjkY+3fKmj5MnO2eK72Uf+/XDmGub+JFwoahbOstzdRRZ4tJ6h4kbV8SmPC8YTAOOx8LRJkkykixj5sUEkWhytGoGiqLwzu0BvZbFD97ZZzgNmDgRtqGSFtCw1dI9S/zMyeG/3TAwdSFEWOzWgIK6rWGoKoudGoNpwIW1Fn/54SG7Ry55USAV8NUrTaIk597elDdvHNOqaRyNfbpNk/m2jWkofP3qAj9895DCKQCJqRex0/d49bll7u2JuFMkuLjaqpoP/bGPH6bEcUqWQZxlWIaCJIkh8ULH4sXL82wfiebt5nKT7UOndLoWn1GUZNQBU1e5uNpiv+9xNPIwdZVuy8QvXYevnu/Squv84U+2yLICRZH4jRdWqvdelgRZ/lFRRBinfHB3RJrlSBJc2eg85ni8sdQkywvCOGWubWEZCu/dGQg1rySGdN1PQWzRVIVe0+LccpPhJECWJeYfih0+iUo7geMnjz7Frwxee2GFH72zT83UqNc0Fro2nYZ5qnH1ZUKeF1y/P2I0Ddg5cmnUNIIoY6lrk2QFO30X29T4T39xl/mOTbth0mubuH5Cr2Vyea3NwdDj4NjD8eMySluiWdep1wwalsbVzS6LXRtTVwmTlJ9+eIzjBeiqwp/85Q7tus5rzy9yPPa5tz+lWTOomSr7fQ9Zknj9/UPeuT0giguCKCqJqDqDSQCSiODzw7R0w5dYnqtxb2/GZBbQa5vCKXyuhiKLAYOpq0hIREmKZWi89vwKrbpBf+yTlvHxaUbZ2NRY6tq8fcshTjMMTWEwDaros25TxC4+f7H3uVyETzBxQv7gx1ukqbhfX7m6iB+m7A1cek2T9+8OH4v+fnjtjlNBujs5QH3cun6GpxNhLBwP0lQc6iWJUmyncmGtVbmWPQkn14OuKSx2bRRZEKSTICeMXO7szjA0BUNXeO355VOORVuHs2ow2qw/OfJaUWQur7dP7XleENMfB9XBGE7/zPt3h7x14xgQrmy//81zlZCj27bQFAkvEKKwKM5pLOj0WiZJVrDUsfn2S2vsDlyaNZ0gSnCDjP5EDGa8KGGhbXN+pUl/HJCmGUmac3d/Rp7nPLPaJkoybm5POLfUJEoy2nUN21QfS73ZOpxxd2+K48UUEuVARaqaNWlWEIQxf/azPSZORBAldJsmlzc61XvfHwfVsCeMMzoNUc+cX2mdanr8ta+t8Wdv7pJmBc9f7PH1a0vVMM8PEz64NxIpR7LE1c3uE5sFcZJhGRqGVrBz7FTuVOuLjVOf6/7AY78vHDEMXeHZzW5V7D+z2WHshhwOPToNg69cfuDWW+QZrbouUuLhsaSyM3w5oKsKjZrG1CtQFZlOU2WhU2MwC9E1DV0vhEN+AY8etfeHgnAonPVloiQjSiQ6DZMwSZFlQdB0gpgrGx0urrbwgpQLq02W5+q88eGhcH4p3Zg3l5u06gaby03uFSK1brFrnxpUp2nOH/74Pn4oiF6aAusLTb767AIbCz9/AsbukcOfvbXL7pHDxI25sNYiiTPqtlYRyN1HatO0bMyd4Gxf/fXC8lydJ1s7PJ2Ik6xywuy1TExDo9MweGaji6pI/NefbpckZyHuzj+6lXAKtiFTIKHKEvNtE1WVMQ2VIMq5vTupSNaypDDfsTgc+RwMfIqiYORE/NZLq0Rx+ksnrnSa5pl44wy/0nh4z5IliZW5uuiRSRJ/77cu8b/96Q1mXkKvaZIXBcejoErVOulbOEGCG6RV3X9c9uYAVucbLM812O+76JrMay8s0azrJElO3dI5GgYkacFoFhHG42o/TbKMVs0gzXIMTWXsPHA8SpKMH72/T5xk6KrCYs8mLB2bNVVhNBPDyeE05Ggc4IUJEnB+pVn1z5q2xv/xo/uiTwDMty26LZM4yVhfaFAUcHtvgq7K/J3vXqZVCp/nOxZz5f8A3r3d5+1bAwB2jlx+/zfOP9FZf+pG/MXP9onTjIOB6OWduENHj9QNP3znsPq30SysSOaKLCEhMZgGSECnLnqfJ3X5o8/zafBozeIFcXXmyAuYOtEXKuIAmGvbp0T+Z/jl4uQzd4OE/YFLsjtFkmBtURj9jGcJEgWun6ImgsxrGiKFww8TVFUipyDNxWlXliUKQNZkbmyNhWFEw2RjSSROvH93SBRnzLyI0SxCyYXLs6kprC81kBHX2l7fIU0L4jRj5iUUhSDv5UXB/f0pmqowmUU8f6HH1I3YPnbYPnBwg4TRNOTccgNFkRk7USVMMnWFC6tt0jTnaOyVZ2SxRn3l8jyvXluqBrun7p9CuF2an2Lm+0kJonF6Wg3/cTOYE5ycd05MKJ670PvUqThnOMMvEp8lncAyVObbFkFpLrLYs5EViXbDeGKC9MOYuhE3t8cUZZ/gufO9n+ucf7LuDacB790dUjM17uxN+O2vbVSpGo/i3FKTPC8qN+CH0z5Hs5Dbu5NS+B4KopAkEYQpDVvncOjh+gmHQ5/nLvToNE2W52qMnZCGrXNnf1IlazlBTKshUk7cIOHqZreqp65sdNg6mCFJIrkqzws+vD9ioWuTpDk7xzOgwAlSWopMuy7Eabd3pvzlh0f4YYqqSCx0bC7P1znKC+LyzFWva7x/d1iK99Ky3lIwNGEwE0QpiiLTrOli1mtrfO3qIj95/wBVlTga+qRpTsPWCaKcuwdThpOAe/szxk6IrirVuhVEKUVBJRI+cQZ+FLd2JvTHPm9eP0aSoNMwmWtbdJsm9/an3D+YoSoS+32X5y6IPujDIv/XXljh//iLu4zClLX5OoNJwFzb/ERybatusLZQZ1gmKX/S9flp4ZVJ1idwg5irm73PlN75ra8sM56F7A88lno23yrT8n6V8J1XNnD8hP4kYH2hzteuffH73fmVFoNJwL2DKa6fIksiUbDXsoSZUih6fN2WyWgaEpfpLxfX2szcuEqmPhz6HAwEnyDLCyjEXNMPM7aPXDaXm1U9EcYpb14/IghTVFW4hsep4B4cjnwsQ0VV5Mos4upml3v7U9wgpm7LhLG4bwoJWnWT4SQgTgugYOxGSA8VF5qmICOLeaN02mAJhIDs+z/ZYuqKGsnWVQazgPm2jaoIMf3BSNzTgyTkaBgwc2NMQ2HsRAymPte3x0ycmLotUtknTkjTVvnmV1YBIeB4/+6QW9sj7uxO0BWF0Syg3fQI44xvf3WN9cXGY3XQo+cXSxep5mlWsFamRH4S4ofec/H/J+k1Gaoi+BBriw2mbkyzptGs6V/qGfzThMMqiePX62z30pUFNFUuDd2cs9TeM/xa4eEeFAgDpI8i9X8cfuOFRe7tTdg+clBk0WN8796A584L/swJLw4giE4bSAVRwmAc4gYi1XdpzsY2VeIkw9BVaqYGiERgQ1VPCXv9KCcta3xZEukTSz2biRtRMzWG04A//MkWRQF392b8w9+/Sveh/UKWpWr/uLkzJggz4rQgzTIms5CtA6fqqc61rY+s+yZOzMxPKAqJNBMmsYdDjyjJ2O27XFhuMXbjKi3u939jk7du9omTnIVeg6nzQJThBSk1S61oFXGS8eHWCNePMTSV3/vmOXaPXKZexNpCnYurbX783iFxmnFlvc2//eNbHJUmHWGS8fIzC0zdGE2Vy/fyAaL4dH37MHRN4ULJYVQVmc2V02vjzIu5sTU6dcZ7uJ/y6Nnn4Ro+jFLevzcky4oq2e/h89nOkVOZ49Rt7dSZ6rPiJBkRhPg3y3IU+dNxur75wjI/epcyga17ZlzzS0SWF3xwb0RQpu9tLDU+07nry4DoCW39yTR86oUcQfT0Gbzqmkz40LnlaRQFrS000HWFqScMli6sfL569Usr4gD4p//0n/KP//E/5l/9q39FrVbjn//zfw7AP/kn/4Tvfe97/PZv/zYA29vbvPfee/zLf/kvT/38m2++yb/4F/8CWZbJsozXXnuNf/SP/tEv5bUrssTFh9zbsrzgw3tD/LKRtPAxxVWrLhxVTsQJC50Hjw2jlHv7M+I0Y7lXY6Frc27pyR9+09Z5+3afvCi4uNJivmygnThf51lBnhfMNS22DmYMpiGSLKGpMm4QMZ5FzNyIJMtJMtGsiOKsEg/0y8FrnGa8e3uAqcv0Jz55XlCzdL75wioHAxep7OudkDdBDKoNQ6HdMAjjnO0jh4kTiWjiOCPPoNeyGEwCnt3sUbN0fnbzGC8UKRmyJHF9e1QqXIUr4Fs3jlmdr/Pa80ssztkcDH00VUGRCzaWG1WscpQIZ7GDgceVjQ6OF/Gnb+4wmPgcjXwMXWN9oc7Lzz5oXvVawq3uZBPSNYVnznV55dkFFEXmjQ8PK6VqlhXsHjtEccZ7d4fIssR3vrpKlGTc25sSJVlVXO8PXDw/wTAUWjX9sUGUpspc2Xgg/uiPgwdN1wIGkwBNlcWwrBCb40cNswxdYXW+VkWhPkwWvbjWYufYIcsKdFXh/OdcUJ4GNG2d33tt85f2+6ZuJByAJNhcbp4qcE9cUAxd4UJJFj4cCncqXVVYnrO5vTvh7t4UkEQ0dpCyudIkiC0O+j4zLy7d/mX64wBVlUnTnIWOiBpf6NocDj1B6JUlyECWIU1ysjxnvmvxO1/fQFOVkhRWMBgHTNyIKE4ZOyFv3Tim3TBRFZnfenEVx0/EoEFXMHWVP/vpLmM3Ik4ysnKovL7YYGWuzvXtMW6Y4oYpa3M1iqZZEUcNXfzO+wdTjkYe33huiRcvzfHTG8ckacFCz66KvSsbXb5+bYk7e1Ou3x+JWL28wDQUbm1PaNZ1wigljDNGU5FaEicZ3abJ1sGU9+8O6TQMvvH80uciL9zbn5GW915RwGAccGm9ffrfJsGp4dpCx67cn5a6ter9lWXpIwdWZ3h6EYQpuiqhKhpxnKKWg7dW3eDOzpRmXefcUvOJbgTdpskH90fEcUYUZ1iWyngWlskyOVGSsrHYoGZpTJzo1Pp9e2fM9ftjsjzn/HKLzeXmE5W9rbrBCw/tD3meP6g1EAKQh3F7d1L9t+PHHI2DaqgmUbC20GSpl3MwcFEV4Vzx4uUFXrwyTxil3NgZE0QiprvXMtk6dMrBqsuNrXGVKvQPfucZ/pc/+JA7u5PSASTj7Tt9bEurXPVtQ+P8SvPU/rZ1OGMyi9gfuFiGiiIL4cPtnRG6prL2lWWyQqwDf/nhEff2Jjh+DJJU3beaKtNuGKf+1pqpsbHUPCWQ3D0WSSntuslvvrgq1vOl5qkErcEkOCWcHU6DUyKO4TRgr+/ieDF7feFyGsRplchzPPZPfa6f1Ot47fnl6rO5sTU6VQOcNG1ACFzP8OWDXu77794ZIEviXPDKtUXGTsh+32WWF2Jw+ISfPTGrzvOMkAxZBrWQCKKUTqNOlj8geMqSxO+8eq762Tc+PORH7xwwcSPaDYPhRCQAfe9rG6wvNj7SoXZQirplSeKZc11sQ+Xvfu/yF/Z+3Nwec29/xv39KaomM3VMGjWdLC/E36fKp1yxQdS1rbpexQU/fF46wxmeNjRrOjMv4mDgoaoyG3WDC2ttLEPh/bsDkiSnZmn4QVKSCE5D4vH1omYoyKqErsjMtSxqlsr1rTGr83VMXQGaLHYt3rk95O7ehDQtmPmRcPqtGWiaQhiljGbhr6T76F8lwijl7v60IqacrV+/fphrWxyPg+ps2GmaDCYBBQWrS3X+p995VtSTM59//6d3cEPhzjZxHzis9ZomEoKkJ0mw9FAdiQSdhkGcZmiKTM02eLbc49+53cf1YtwwRZElDO3B9WcbGks9G1URBijNms5eKSqOEpE8YZsaFAXjWVQRJ4IwEYuQJJI2ilykVYjvpbz+/iGjaUCzoXN/f8rUjZBkkfbx/KU5KCDNMq5d6LG22EBVZNSSpJ4XoiZ6+1afO3tTauZpcYnjxQwnfuWaP5j4/OS9Q5IsR9fkahBYFHBnb1KJOHotk+OxT1b2RbcOZuwNxN86nAR88yur6Kpc9g8LNsu+68n7XRTiLPFpTFUeRbMmXIVP+qsvXp7nw/sj8bqaJusLXwyR8QxfHrQbBlpfZuKEjKYhQZhg6AqqplAzdRq2zn5fXI+OF2EZwiH5ynqHo7HP4dATvfkkR5LFzWbpCt2GRRin/Nmbu2iaTJLmeEGMLMu0agaWqVFMQ0xdQZENVubqrM83kGUJRZHYPXaZxCEzP0aSBAFcV2XyPGexV+f27kTMBdKcFy7OMZqFLM/VOBh69McBfpiyPFfjx+8e4IVJaexk4/oJK3M1bm6NmcxCtJJY8MLFOc6vPDifLnYf9MxqlvYYWeHzwPVjtg4EGaNh69Qs7Ykir0fx3t0+P37vAAmJ1fkad/cmZyKOMzyVeGajI/qOBRiawrULvU+VTj2chhVRK8sKRk7IivH5E2l6bYv+JOBo5EMh1pckydk6mDHXttjvuxyNfSazkGbdoNMw2VxuVnOwE3f5IEzptsqZXAGLHQvL0EgSkQz6/KUu+32X7UOHNMvpNE3GM/G3jGYh8x2LmRtzNPRxvAjb1HG8mFaZCOL6CUH0QLTesPXK3f8EX7+2RM3SeO/OAJAwdQVdk5EkMdv4ysU59voOWV4QxSlxKbwFiJKyP1zX6Q8DjicBfpAQRilJlrPcq9GqmyzP2Xx4f8TEiTgcetimgiJLTJyITsPk8lqH7SOH3WOHsRPxs1vHtGo6W0czXD8RqSuBSDtp1g0WukJsO3Ei7h9McYKE4TTkWy+uVGSIiRPx9q0+Eydk6kXoqkK7XjDxhEHX4dArSXOCdP71a0ssz9XZPpwxnkXIssRe36E/DplvW6wtNnD8+NT7+XFYma+z8gWnlF9ab3E08igKkRJybumz11SKovB3vnPpC31dXzZYusI/+O0rv/Df8/VrS6zO19k9dkUy1ySoEqxPCC0rc3XBmShEn2+hY7PyUBrWT68fcXNnwtQJqds67bpBpynSwV5//wAvSNhYrGMZKnt9h6kToygSk7HoYy71aiz2bA5LI6uxEyFLBUmS88qzC7xwaY7BNBACq0mAH6VkaU5IynAmZvFZXnB7d8K//o/vYegq3abJtfO9UixVUBQSg0nA5rKocX7y3gE/ee+AqR8jIwTbjhOhqDKKLFG3dPYHwlwnKwp0RSKKE1o1nTDOkKSInSPiu9TOAAEAAElEQVSXlV6dwSigPw2wDJXXnlvmb3/nQS/W8WIOBh6jWUgUpXhZQo4Q1BaFmO2sLzaY71iMZiFJmjGYhEiSWOdP5jwzL2btofOHX7p1fxyaNR3TUFhoW3x4f4QqSzhpSqteQ5Lg8nqnOned4YvFSRLH00aS/HlhGSovXp7njQ+P+Mn7h2cijjOc4XNgsVfn2y+v8fbNPkEszI/3jl1kSeLCSuvU/L3TMLAMhfslwX95zuZoGAAFBUWV3HfCKwO4fn9ElGR4QcxXLs9Vz7fQtmjXDBxJcARX5+tsLDXZKH/X//yfPygTHQp0TebD+yMxh38C6oaKG0T4QYosSyz37FMzkUfn6kcjn9ffPyDLCy6uNstEMGGU027ojGYBYSxMWG/l+al+3Du3B8y3RYKGpWkUNtwpzSCfXe8w9WMOBi6KLLMyV2M8C3H8BMtI2Tt2+WtfW6+eyw8TNpYaIjFdkXDD5KSNiucnLPVqdBomSLBSilhPesbNms71rRFRnDHfsU7VSSA4jB8lkjwaeez1XaIoo2aLnu/q/IO/8UlnnxOMZmHFfTzhQD3McTvhicLjZ6rPioWOLc6NiP7ZZ0npa9UN/sY3Nz/X7z3Dzwe3PPudoD8Jnrr65EnpvvKvQNrX1Plo8deXFZapMvMfvO7eU8ilnDgRF1fbXFxtAzD1E+Y/ORj6MXypRRwXLlzg3/ybf/PYv/+zf/bPTn29sbHBW2+99djjfvd3f5ff/d3f/YW9vs8CRZa4er7HrGyIfVyUk6bKPHexh+PHVbrFCe4fzAQJsfzvRk0/9f2H4Uci3irLCqZuxFzH5qUr8wynAaOpKEombgjkSJKEbSjUTJU0ywminDTLQJKQigdEx6vne/z219eYODGDsU+c5hyNfOqmhhvk6KqCpspkecHRwGX/2EXVFNp1QWRdmauhKhJ5AX6QcGdvSpxkbB85TJ2IRk3H8WNkGcZORM0K+Pq1JRqlA83BUDj/+2Ei3LEKSLKC9+8OadYMJk7ED94+4GvPLqHJIkZ+rmdyYanNbzy/wngWCrFCXrA/8JAkuH5/jOPH7B67TN2Y86s6XpBwNPIrcuXJZyiiT4VyTVNkBtOAXsuiYRkkaUac5GiajK6p3NufYpsqkiRxZ2+KoatVtNz2oYNtqpXDV+KLqKk8LxjNwqrIzPICTZFI0kJEQuunixZDEwT2tGwM39qZ8PIzC08kCZ9Ezk1d0cg6KbSmboSiyPz1V8/hBjELHQv701ifneETkecFt3YmFbH31vaEyxttgjAVA9OjkhARZ2wfOqzM17i7N62U7Pf2p7TqBn6YcjDw0DWZ+bbNXt9hvmuzudLAj4SqW5C6MtoNg7m2JYYJwFs3jzFUheWezciJSZIMioKardGqmXTqBm6QkiQRzZrOpfUO/+X1bWRZqOGTLOf+/oxrF3Q0VWbiRnzv6+vc25th6iqyLOFHaZU8FMc551eaXN3skhc5u0dONSy6f+jwe6+d46c3+7TqBlMvYvfIIc4ysqzgR+8dcPlci9//xiZBmnJuqUmnYeJ4ET+9MWPqRtzeGeMFSeXykuU59w5m9FoWmioz82LcQAhbikImiFJu7kzoNU3GDvzgnQP+h29f/MyfZeMRN/uapT1GlH/0/lzq1WjYeuUklOc5rp9gmernjs86w5cX51aadBqGcHSr13jhYo8XLs6hKhJRmfZgGSpLvRquH+OHadnwVnH8hJqp4QcxO8cOi13REMkLj/WFBpNZxNgRe8OJACiMU2ZuzLu3B8w80fy4Ho/43tfXn/j6srxgNA2RZSEaMQ2Vl59doD8J0BSJ9ZKYlKR5FU1aoUyxAnj71jHHI5+FrgVISBI0Smc3RZFQJDEkqISNeS4aHXmBoSkcjQKmbkyWF3hhwvX7QxY7Fl75nuR5TqdlISGa0ku9OkhivzvBcBpwZ1e46IkEn5w0ExH3c20TW1e5vS1cL1bmaxyPA6au2G8lWSKMMy5vtKlbYl0zNIV7kxlBlDDftk79rokTsXXg4IUJR0OPLC/oNEyiOGV/4NKqm9SfuB6Ir90gYVoOTTVVYTgLSdKCxV6Nw4HL8dinWdNRFIPjsU+nYaCpCstzNWRZIssKsd58RK33pBrguy+vsdcXw9bVL3ggeoYvBte3RmR5wdXNDpomnGrWF+qEUczEi8iyjAJQJMgeYWYXBRV5sACkHFKEACov7fmzvMDQZJZ6NlM3IoozHD/mvTtDwiQjz4W77lxHuEn+xdt7/P5rm0RJJpI2VJE6dxJZa1vaqVhe+1NE0oZRysyLsUz1VHPvSTgaC1FqIfFA4LRQ57df3cAPEuZa1mOuCx9V157hDE8jgihlo3SejbOchY7Nh/eG/PlbAUEiEugsQyGKMhQ5I3vESPVRAYcii3VAlUSy127fYVieYfeOhdtWq2ZQs1QMXcYuXa+iOCOMM3w1o60pWIaKoT2+/5ysK5+mqX5SV+iq8pmchH+VcXd/Wplb3D+Y0bT1nzvR6AxPF2xT49Jai/44oNcyubk95nbpzP/MRpvzqx1G0wDbEKTvpDRKcLyYb391lf44QJLhjetHgEh/rZnagz3fi/DDBEtTkGWJ/sjnvdsDZkEEWY4kSxQUKIqCZWqsL9bJclHvX1prMZyGdJoGvZbF9fsj4pIY/v0fb+OFCbapsLnUqkTgSz0bCZj5CXVTJc1zUa8AhyMfx5+S5QXHY5+9vivq5KwgiFI2l5tM3YiapfEnb+xUbvw3dwTpKElFT+Fo5KNrCn6QMCz7cCBqIlVROB75mIbKD945wCn7blM3QtNkilz0NB/uw9qmEIx7QYKmwv/6h9crw5S7+zMUSaysmiIjy1LV0+k2BdFyPBOksM8yWDyBqsg8d0H0fA1N4dVrS7xwaQ7PT7iy0UHXP3+C6EdBkDuTj+0hn+EXB11TuLTe5v7BlDTN8MKUo3FAzdbQZIn9gVf2i4vSGEKhYYm9eepEaIqMoYreuiLJdFsGdVOlVSbs3B6Ombgx7bpOfxLSqunC4CXL2VhqcDgM2Fxustiz0TSFhY7F9pFDkmSMnIiiEK9xqWPx8tUlXD/mzQ+PmLgRaZpzc2fMfNuiaekUwHzLJEkzVubqHI68yk0+jNPSJV7D8ROats7EidAUCcePSZKcIEpxvBhDF8mZdVsnSjLSRNQL3eYnO7h/HG7tTEjSnPmuTRSlXN3s0ijJ2nf3pkRJysWVVpUyCiKF4+1bQ5JUrF1bRw6bD4lNznCGpwmdpskLF+cIY5FQoT6BlPAkPNrT/nn71nVL44VLc0RRwsyPmbhibarbGjNPzOHGs5D+JGDqxaRpTlgm1cqyxHAaVsnxBwMPy1DEWSktePXqIt2mQa9j07R1fnrjuCKPHI983CBmNH0g+HSDBEUSaYZhkmCb4jX0WhayLH1icrciS1w732P3aEZRFGilAdxit8bvvnaO1fkG/+cP7iFLEs2agSQJMlG7YXBrRyR6q7LMwcBhv+9iqDJJnqOpCpfW2qzM16lbGjNPGNw1azp5Dn/0+g6XN9pQFAwnYoZ7PPJJswJFlri5M0ZRJOG8q8o0bDF/ff5SD8dPaNV1Cgqc20I4eDDw+MOfbPN7r52jZmn87NYxUyeiyAV5zGyJOeZc0+KFi3PsHjvMvESkkklQs3WG04DtQwc/Srm7OybLRZLb9pFDs6az2Kudej9Fivovr/7YXG7RqomZ00Knhm2e1TxfBIpCzKzzXCRnAKdmDB+3b5+sLc2awdevLWIbKtfO96oeX7dp8vyFHlGSPbZmjWYhb93sC+Ez4nq6dr5HmuXc3Z/Qqhl4QcL9Q4dOU+PewZSJG9JrWRSIhIlmTReCtnMd7h04ZACyzHgW4UUJy/N13rszwNJlNpabHA1c4eS82WX7SJjIeUFMnud8cHdIjsT55Qa3dsYoslIlcBRFQa9p8uaNY7b2ZyRZLu4vIEmFEZ0iySgyNGoa9w4yZn5MAWVajwySOCcosizqoyil17bI8pzNlRaX1h+YPSZpztHIY+fYQVUU5rs1kiRFluXKgfpkliMImj1ubo0pWqK3ezDwqFsanaYpxOVValzMzI2wdOWJpLYTKIrMc+d77PZdXktz/DBFkcXn/PzF3pkL9i8IRVFUrueLvV8/M5BvPLdUijgO+J9+5xcvRDvDGX7VYJsaz5zrcHdvimnmBGGKZajYpioMnv2YwTQgS2F1sc7KXI04FWd9XZOJk4zxLKJmKrTrJl9/bpHDgcf6YoP/5Q8+ZFKarX14f8zO8Yw3rwvzmq89u8g3ry3y1u0BrbrOq88tV7ND29IoELPEPIcky1EVmfEsJMlyuk3zVG2wc+ySZgWqKiMhMXFikcoVpxi6Sqt+ev/5i5/tMZwGFIi6YnVBrJ26KmMYKscT8T0KQdxOs5w0y9EUGZCqM8bR2GNtocHGgpi3t5omDVtDAmxTxfFiBpOQLM8Jo7QS3J3g7t60MvqeOhGyRGmyJQz/Hu4R2qZGzdIYjAPmOhaDScisfG93j1watv6pZ6FTNxZCziTHj1K84OOJ3X6YsnU4xTY06o/wogztcY7iiWHmpzlTfRzOLTfpNE2KoqBZO5vzPi3QNYWs5L6pivxUzv6K7PF7otl8+v6OR1G3nsL76JEh98kZ8GmCoSnESYYfpRiaUq3znxVnXYxfIhRZEirKTwFVkZ/42Eejb9NHGRwPYffYZeJEQgUXZ7zyjEyei83v1vYEXROxvXkuXHokScReNus6x0NP/K5CKEJtU6XXNPjqlXlef/8Yx4u5vTshTjI0VcRj2qZQ3Vq6ShCnpHkuXLDDBF0V7jTf/uoaf/nBER/cHTCeRRyPfHb7Lt2mSZCk9HQT21AxdYUgTE9SyKhbGt95ZZ3X3z9g99jFDxMOhwF7fYdOXThUdBvi0VGaYegKmiajaTLDUch8MyaMM5bnbEYTkS4CIpHgZAFIM5FQosli0P2khUFVBEl84kbYhoplahyNfDaXW1iGShBF2KrMfNvgxpZUNbzDOHvsszM0hbm2hReIRmq7YXBze8zMiytHQNtUGbsRG4sNdE3h+Qs9zi03GZbuGytztSpuDYRooChOtLuPQyiLH2w8h0Ovcj3TVJnnL859KnemM3w65EVRDftBHBA+uDtEkiT8KEFTlOr9TlIxzNw5dKrrM8ty2nWD/sRn6kbEacZwGqJpMusLdbotmxcuznFnb4ofpYRxysSNMXUFVZE4HgUiytBQMQ0NM0wxNJk0zQijHFPP2B/6XL8/qoiaUFAzFFRFJstybEOlXgoRhjNBwDoaBVxe75SCK4lXnl3grRvHxGnO5rLNy88uivWgTBNxSpJSs6ajqQrjWcTEEf/rjwPiNEOSA7K04HgUsDxXY75tkaQFvWbI9fsjDkdC0e34MaoiyGZ5XuCXAx0/FOkg8x2bLC+wDI1nzjUYTgNaNaMiVD8aF/xpcWm9g+MnHAw9uuVATFVlNpYalUPxk8jSNUujhjjoKLJCp/nFEzLO8OXA5fV2afMgAwWvvrDEQss+dVhP0pzxLOTW7kQ0BWSJ5y706I99jkc+jpfgeDHd0uUiisX+59safpiiKuL+fjjGcjQLiZIcVZUxjAeH5odRFAU3tkYVYXDSiri41ubZzS7NvoeiSJxbbpJmYiARJRmduk6aiSjUKxttOk2T//jnd/jgnnCJVRWZ33l1ndX5ernvwOpCHUmWKwGHHybsHXtYhiCAnwgmDE04zzpJwn7fY32pQRBleGFCp2GUyTU5eSFiOJd6tVPkxsEk4M3rx9Wel2cFigLdpsFcy+bG9hh56HP/0EGWZa6st5EVUQMpskTdVk/VWI4fCxfyrMD1E75+bbH6nhckbB/OyPKCO7tTLFMVsa77U5AkTMPj8nqb+Y5FlAiifMPWWehYTJyImztj4jhj69BhY7FOlhXIErRqOgcDmLkxjh/jBQlZVrBX7sUXVlqosnBTXerZjzVITj7XNH/weed5QV4UqIpcuWmd4cuHn7x7wJ/+dIfRLEKRJS6vNcmygq0Dh/sHIqHt5DZ+VMABYoUBhNt1AXkBChJZljH1xL48c2OWejXiJOfG1hgQiTJHI19cN5m4vzoNE1NXcf2E9+8NGU5DXF+4wnSaJtfOiwjcpq3zmy+u8OG9MYYu8+q1pY/9Gx9eowAurbc/1ql6qVej25yhKBJxkrHUrfHtr66x0Lah/dG/59G69gxneFqRpDmWoWKZKkqS4/gxP3z7gDTPCeOMdl0niFRULcE2DbwwJoyflNUjkOVQkJNHQuQoI5GkMc2aVp5JC4I4ZfvQYTQL6TVNJm6EaYqhjCxJPHehy5Vzncfcq0+dH/sff358uK4AWFv44t1Wn0ac6gsUH9/TOcOvJhw/5tbORDiZTUP+8Cdb1SBt+2DG914FCYmDgUNeQJ4JEUeW5xwMxNni8NijQEJRRDpHFKXVnj+ahVWSrCJL7B+77B4LAwk/THD8iCQpyNIEW1dZma+TpgXdpsHd/Rl5XjB2InaOXZIyxjqMMxwvxAtTklSl29Krc4fVVCtTkjQv+O4rG9zaHosE0Kzgzp5wqsvyXBC/CglZllhbrHN/fwbA0dBnvm3h+gmKImqZvfI1zzwh2DwRTJxbatCqm4RxxoW1JjtHTnUfjWdhNeC1TQ1ZkfD8BEuRH0sx1jUFXVMIgpi5llklfHQaJlkGiiIISs+c6wh3QlmiYWvc3ROveerFPH+h97lEWI/2fM//AgnjJ2eSk/PntfPds4SlXzLCOOXm9pjBNGTryEGRZfwooWlrpGnBaBoQpwVSOcivmeKeiuKMIE4okNEViQXbotu0sE0Ny9QIo4yDocfUjQjjjKkrjKMmToSqyaiyTGPRIIpzFrs2nYYpfochSAYLXavqKZuGgqQowuhh6PHnb+0RxhmqLON5CX6c8re/dYG3bvQJ44znL86xe+zh+jHthsHUjZElibqtM5iGKJKEbggCwrgkVHphwvd/fJ/lXg1JEj2IhY7F9uHssV7F58XJWqBIErapVeTKH793wO2dCQA3tyf8rd84j1rWL2meo8gS64sNBuMARZX4jRc+/rxzhjN8mWEZ6mcmzC/3aqRZjhcktBvG50qaehSGplCzdYIwxQ9TZElidb5BlIiaJ30ozfZg6HE48vGCBFMXs7m6pdEsTWN6LYvD0ZCpF9GwDbptkbAxmoalQZmEVgoZHu2f3doZ40cZbpRAIM4kjh9TszTWFuqfMqkkQJJkWnUDL0jZWKzzra+usr7Y5MbWCN2Q6TZPvteg0xJroabKuEHCe3eHhHGKH6W4fo6qqdQlhcORL0hyC3Vu7Y6xDDFfTdKc45GHLBXcP3SwDZU4TcsZY0arbhDGwiQsiBPyUKTzNuo6e32P49LJduZFVTLZYBLgh6L3Uzc1dsvaJkoyzq+1mGtZdJsm33huGdNQ+euvnuMvPzgijDOe3ezQtHW2DmYiHb0oOJ4EWLpIO5q6MZqqcHm9Xb2fUzfixvYvv/7oNE06X8D1e4YHuLM3ZTQVphD9sU9BUZ1dPmnf7rUsojhj4kYs9mzWFxqPGRBWaX8P4f7BjOORz9SL8IJEGCgZBpapsHccEIQP+AD9oc+//o/3cEvRUJRmrM83uLzeKeeaKVlhog88pm5KpArn8O0Dh8NBwPHYx/UTCkn06SduzNSLWZmzORgFOH6MpikMZhFFUeAFQtzUrAvRiaGpBGHCWzf7BGFa1j0mqiqjq5IwTTRUFEWk+LXqBovdGpOZMLOpWxoX15qszNWpmTpLczaX1tr85P0DPrwvzCtnbszPbvb52tVFiqLgg7KHW4imMBtLDdp1Q4h4U0F6/eqVB4lipi76TeFDnIeTGfSF1RZbhzN2Dl2QBK9k7ERc3ew+0SzyBIoijAQeJpO2G8aZgOMXiIkTEUQpcunU/uuGk5ndzW1h7vZF1CpnOMOvE1w/ZvvQYW2hzv2DGRQFDVuIh3f7LiMnxCkNI9+7p5KmOVlW4Gcp/XHE9qFDnGZMPbh7OGF5vgYFbB06yJKEocnkhehp/O9/chu3rBXeunmMIstM3JiZF3P9/pBZ2UNEgpWezc0dlShK6TYNkIQ5A4gkjefO9x7sRzLUTI04yYSAuq6zsdQ4NZd/GIdDD7fkEYFIDk6zgjwXXMKWreN4CZomc22zixsmTJyY+Y7NC5d6HA590pKrdTj0qnnn1sEURRam1o6fEMQpmiqTRDmaKtGqn65rHp4FqIrMV5+Z5/aueI6Xn5k/1SN0/JjbZc944kaP7cVP4oB8FBRFmIfFiTCsUJWP3tfDOOUPfngPvxSuPHehx9pCnUlpvPNowsKl9TZbBzOyrGBlvvZz8wvPxBtPH7Sy7px6Eaoic0F/+sxQ0ieQMI5HHgvdp7vO+rh7/csKSTr9WSjy08dZNg0VP0qZeZE4f31Oc5QzEcdThuW5miAOFmIzezhqfOfI4Xgs3Okurz1omAVRhqJIpHnBvf0pUydi5sV0WyZN2+CZcx2uXZjjeORzd28qHLO8WGyWtkGUplxeb7MyVydMcu7uTjga+/THAZ2GweZyk4kTsbncxA9TGpbKwcgjilMOhh41UyNJM/IsR5Yl5tsWMz/BCxPGTkheunObukLT1mjaBg1bE2keo4C3bhyzudKkZmp0mybbhzO8IMUNZoRxxup8nbl2wf7ApR2Z/NZLK8y8mJW5OgdDD8eLyyg0mZmboKpy1aDQVJmr5zu8fWtAp2FUrn7hIEUG7h9M+fZLawymAbvHLnf3Jiz1avhBIuLH0ow8g3t7U2qWzoUyGgdJZnW+zl5fDJ2vbnZZ6tlieF2SUjeWGvhhSpRkTJyQvb4rCOw9G8cXsXFplhHHGVEkkhimbsTqfJ1nznUr0v1S9wFJeKFrf6xDxqMYls03EAWk68dnTc4vEKois9C1q8a5oStIkoQbJBwOhVvd6nydZk005yg4dX322haOH5PnwjEliFOOxz4LHZsgyvCDhNWFBpqicDj0qwhfRYYkFU53cZKhhQnLc3Xqlk67rvPu3SGmIZXCo4S//PCQOBGCjVZdwwkSJITq3PMTtg5nHI48aqbOC5fmKrLRlY02f/6zPYbTELMUTcy1Lb5yeQG9XH+G06A6bF1cFW53XhDz1q1jpk6MXBK7vTBFkwX5fewIhX1/EqCrCte3hkRxRs3SadQ0NpaFqMn1EzRVYq4tEkEmpXpdkUU08aW1Nlc2OnhByuFQOJRcPdd59GMijFPu7E4J45T5tsXGI+SOE3z1mQW++si/LfVqT1003Bl+MbixNT4VPb2953B1o8fPbvZxg4SGrfPchZ64Fss6NM8LJqUr02AiRFeyLFXE5Lm2ScM2mHoxkgSHI4//1394D1WRWexYvHBpnlbdZFJGis81rUqw9DDiNK9IESCIXRcRznAPR6RO3YgP7g3ZG3gYqswr1xb5jRdWqu/fLQlYQNW4OLf8+KFssWdzNPRxfDH8lSUJU1OZ71g8f7HHxI2Ikwwv9Lm1PeJ47PPi5Tm+9eIaf/j6FqNpiKLI/ObzS1xa67B1MOPe/rQSi9zdnRLFQkQqyRKXVjpsLjf4t39yi9E0xA1SVudr5EWB48VYunATT9McVVXYWDx9j+8PvKpBMvNi/vSNXTaWm1xeayPLMPNjZm5MECVYhkIQiaHQvf0pDVunXdNp1gyCKCWIUlRFNKtGsxBKV9OapeKG4v1ILY0oybBMlY3FRilOFY2Rh/fiS+ttAO7tT7m7P8UyVC6ttVEVmbv7U6auaNzrqnDpWujap1xJkjTnzu4EL0xo1w0urLZ+LlfTM3wxuL49QpIkLEPB8RLuHjqs9OrsHjsEccrHteAUWRAhsjwjyyTy4sGhNi8gTQsMHZp1g/mOxeHQq0iBpq4gSZDnYgla6NoVyanXMtFUBcdPqoGkrgknthNB8uZyi80n3O9PwsSNqoYmCIe+k8FKkmbc2pkQRCndpsnmcpPnL/Q4GvmkaY5lKPzea5uPJW8cDj32S9HZpbX2x6YanuGTcTBw+dE7B6RZwQuXe1zd7P1Vv6Rfa6zM19k6mNFpmHhBwnASEsYpWZEzmYWVm+RcyxZpHIpEkoRPFHqBEHspEmQZUEAhCcf9MM6Zb+uszteZb1kkWV4KsTOiOKPTMJBlIVJ+6ZmFU/HaJzhJpYRPPj96QXJKQD2chWciDmBlrs69g7KnU9fP1rNfQ4xnYZVuFcUprp9UNdpwGvLmB0f4cYZMQZHnFIi9O8tz3vjwCD9KMDUFTVWEGQkiNXbrcEaS5tRtjcHE43AYlAkUOlmWUxQFfpSW7q4KsgRhmvLunSFpkrM4Z59qLm8fOiyXZ93r94cUhYSqiMTPO7szfuulNQAOhy5JWhAlYn1SFamKsv+jn9znpzeOiJOcmqXy6rUFZFn8ju5DzlaaKtOo6aIml0BTfG7ujEnTglZdp1k3SFPhZv3ilYWqvumPA6bOgzPKfMdiPBNijEZNZ+MhYfPME4PYR2FZOi9enud6KYK5dr57Kg2jYes8uymyr09I4FCe5dyIJeOBYcTtnQlhnDLXth4TjfxVYeyEj50/z0Qcv1zM3Jg4zSsTkzRNkSSxp3phQl4ARUFeCEFWUdNp1AzCOCBKhMESqkyai37XrCQ0znVMDgcefpRSUFAzNWRJQpaEaUImi/7aQsdioSuu/ZX5OlM3wtBV/ChHVRRUVWKuZbG53GTmxmQIkvP9Q5Fk3WyIZO12w+SvfU0kf/bHAWle4PgRH9wbkecFG0tNvnKpRxCmpeO0hGmoqL4iEoTDBNdPSFo5uqYwnAa0G8YTexWfF8tzNfb7ov8337EqN8jtI6d6jOOJVIC5tnhPTF1lc6XJ/f0Z7bqYkzTrX0xvfOtwxmASYOoql9bbTzRnOMMZvgyQZekXsm/tD7xTpkfHY59zSw0sU6VV0xnPAuFcOw1Y7tXIC+EAuzJXw/GTcq0IiZOMo6HHaBaRFx79sc/l9TaSJNFrmcz8mLX5Bs2yP/fWjT5ekJSpAULgocoSGQWHgwBFlrm7N0FTheP9yZwtTjJu7z7oV5xfaZGk4sy033dLx2IFQ1cZTkKms0PGjhjQd5smupZgWSpxUjCeRbQbJrIk+hm6pqCrMn6WkaUZUSITxilhlHFuqSlmGH7KzBezzPmOVSWSBGFKp2WgKBm2qdGsCYfemRs/MJGLUpa6Nje3J4AQcByOfGZuXM2a1pcaJdluRq9pMpyG6JrCS1fmef7i3KnPrm7rPH9xjp1jh1lJupMkmHqRcFuVlTIRTWZzpcl3X149lXJ00hMFKoHwZ60/fvLeAfcOZtQtjd96afVUD/sMvzw83AM4mWOccA8+zb69Mv/ZzRxORCPthkmaFuLckxb88O0DhrOQNMspKKjbOte3hmX6p5gJen7M3rHHztEMQ9d45eocNVP0xftjn5kf06rppRmXqPXTvOB45GMZKlmes3PkEEQJ55dbWLrC1I3xfNGzzfIcTRGppUmSIemC/BpEGZoskWcF/XHAXMvimfUe3ZZFu6lzc2uCF6Z4YUrDFg7XpqHQqht8/dkllh95j777yjq3d6dVKlGSimRlP0qJ4kwIQ2SJqRezVjP42rMLLM199Pu82K0xLc2kRBLkhIurLb7x/DKX1zvMvLjq5Z70cj5JENhuGOWMOUWWJRa7v37pEL9M7JZ8k4Wu/XM5nj+t6LUsrmy0ubk94fX3D6uewxnOcIYHGE6DUlQhzEIerp2OxwFv3egz8yOats76QoP7RzMOBh6thoHrxVhlrTZzIxw/4mAYlKlsBYoqYSoqkgR7Rx48L543zwue3ezy9q0+RQHtmsatvSmyJGqF7QOHxZ5dkfSvb48pCgkvFOJtXVO4ttkTiXeqzMyNqkSNIBQz95Pe+W9+ZY3v/3iLyUyIG77xwtJjc/mHucuqIrN75FAASz2LKMmZOiGSLGOZKu2GiSLLqKpMraZz7cKDejjNMnYOHaI04+JqG1mCvZJrtNAx0TWFNAMksR8udsXzK4rEQuc0b6hV1/nLD47I84Lzqy0urLbJcmHJvL7YZPtwRn8SVHzJk57xScrx9uGMOBXmHM3PUA8rkjDdTNOcXCuQPoZC2B8HlYADRE/4q88sfGQNZ2gKVzYe51w9CcIkc1KJbS6utR8yFz7D0wphVK5WnJtZmYz9NEHTHz+fmurTT6G/vTv+q34JnxmWrgEPElVt4+kTcYymPu/e7jOchtQssc/22tYn/+AjePqvwF8zzLUt6rZGmubCVU4WhPD9gcv+sYttagRZytbhjMWOzc6RQ5ymLLZq7B67HAx9KHKSUqHabQpHiLqlMX+hh6ZKDCYhtqEy1zJRFIUgTsTwRRUNx9u7E4I4JQxTVEU4ZTRqOt9+aY3vfU3irZsD4jRnMA1I05woyajbOodjXxAvk4w8FwTtNMuIk0yQQRsGL15eEA7dScbW4YxmTS9JiFPadR3XF277Uy/GNhTiNCdOM3pNi/m2zVLXxtCF21AQipgaR6KMPRND4qWeRX8SYuoKi90al9barC00uLk9JoiFe+HxyOd4GhAmGa3aMSfmmEUuVL9OkFAUMHMTgihlrm0ydSNsU8XQFGZezFcuz3HtQg9VFgKaJM25dr4LBdVn9/zFHoNJQJoJ1688LzgeiyItlQsMXSVKcpxAiF56LZOJIxJM5tomg4lotM63TQok1hc+XTMszwsGkwAvTMjyHEWWKzc2P0yYOBFZUTCcBNim9lgRNp6FBHFKp2H+UqKQf1GYOBF+mNCqG78w8szmcpP5toUkCULGwcDjcOiR5wXri43K7S0IU0xdZX2xThBlqIrEYq9Gu6ZzMPKEs5QXo6uyaJYWwqUvSVNGTkAYpyJJRpV56coCw2nIzpHDzIuJ04wsFyprx4+xdHGQqVkqfpgxdQTZ0vFiJp5CluYYmsrYCTENEaNYFLDYtdAUmb2+i+NF3NwZcnfXoW5pjGchYyfkr7+6UQk47u1PMXSF114QDhmun/L2rT5396f4QUKe52QFGLpWpnTIWGXCRpblGKrM1sGkcuvygpgrG23+wfeuMHFC3rszZPtQOHeHcYYTJHRblri+p0GlTv/e19boT0Qjt9M0yfOCw6H4HGRZENwpxGMPh/5jxPZPg9FMkO1OiOBjJ8TS1TNR1K8R5jsWo6nPxE2oWSqvPb/E1I2YeRG7fZeNxQYzL8YyVXjAMxLigiyn3TDJ8oxey2Jzpcn5lRaGrrBzNAMKZl7Mh/eGaJpCp2FwY3vC2kKdjaUG55brNG2DmqXTH/s0H7mGVUWunJhACDD2+y7thlEN0O7uTbm9N+b27hhdU/GznDs7k1MijnbDqESDqiLRaTy58Dy3JNa9hY7F8Vik6MRpxtbBjDTLeeWZBYazkPEsJE4F+enW9pjvvrLBd15a5c7elEZNuDhd3xoynERoqsy9/UmVmiXLwiVXliXadZO9vke3ZaEpsHXo4gQJNVOlWddZX27yrBNRZAU1S2OuY536+5s1ndE0FEkaQYxRpoFtHc6omRqWoaIqEpIkXCtmboyESAHwQzFgPRp5TEr33okTcTT0Tu2Pix0b01DotSwWuzZukGAaKhJC4JeXQ5I4Fe5kaZYxmsYcTzyKXOzPrp+we+xSt7RqmGXpKq26ztpCgywv2O+7WKZKFGfs9z3iVNR7w2lIs2Y85qj+WXBSO4i0IwU/FM2zsyHqZ4MQJDtI0oOku2ZNZ+JGZYLXR/+scNcvKApo1lSCOCPLQJZzikImihOSTBJ1hAqXVlocDD2CKKVZ13j12hI7Rw5JmrHYq2NoMpvLTezShVHTRFRxPdLoSjxxIOT4MVMnpD8OkWS4tNZ+THDxaG1omQ++3j12K6JWfxzQrOnMd2y++/IKh8OAc0uNx54vjNLK+d/xU17/4JBXnl18ojtLVopAJUkIxz/ONe7XGT9656Bqyr55/ZhzSw1s88zt5q8Ki12bVk2vzoRv3ezz7p0Brp+SZDmmphJGgoQ0ynKm04+Pvs6BIhPCLyRQZeEA2WoYdJsWnYZZpUqFsYhOzwuIk5z1JZHicyIufBRWuR+BeG7jYyJhjVI8djJ4eJrPjV8k5jsWDVsjzXJqlnYmsPw1hGU86D1oqkK3aTJ2QmRJolAlnJKoM3VjCklCQkzt0qxg52hGFOcYuky7rtMre3qSJGrQNBPOzY6XkKbCSGXqhGiqUoo/C+bbljiHazJZ+iDd8tb2mItr7cospmapfHBvSJaL1NCg7DlESU7ykIoszQqORx5ekFK3NfxzDwjZUZqzttioiEbPnp/j3FILXZVx/Lg6W0iSxNqczbt3BrRqJralYekqsZyhaTLfeH6JmRtVIvLX3z/E8SOubLRPvbfPX+gRpyLFaLFrcX//AXH74XoEhKDxcOiz0LX5H75ziZePRMLG+iOC7zBOubU9Fm6z9um+0cPr2s6hU5GsjoY+rZrxpUgMe6wue+TrsRMShOmps+EZvliYhsrEEY7s5BCEIpHZqOkkWY4kSUgy5dlQ9JHCKGXmRiRpLlJtcghD4eblRylzLZP9Y4+sKKAQfV3b1Hjxcg83SAijDDdI8KME1ZW5fzBlY6nJ2AnZPpjxlx8eUhQSnbqOG8acW6qLc6ovkm8urrWFeKwouLTaptMwRT9ClVns1XD8iJ2SDHFlo0V/Epa9T7k0cLKF+3WSk+c5SZoxGAsX+JNtzy5FJ44fC5GWDF6YMLdvnUqnCeOU0SzE0MR5+uOwttCg2xR1zsN93qatM4hFb0JRpMfq3m+9uFqllJ+IO35eTN2Io3KNO0n4vLz+6UgOZzjDrwpO+m0ASILApCgy1873CMIE21JxvARdFz0mSRL7VM3S2FxpMpiGLM3V8PyY27tTQdJWZMZuWBKxDZo1g3PLTZZ7NWxT453bAzRVRpbK/rypciLkKNIMWQI/zLizM+Fw5NMf+7x4eZ66rT/Wr7AMld1jh3FpiifEIDIHA5epG1G3VPIcbEskCcz8mP4oYGOxjixDECWsLTTYG3p4XiSShCVo1w00TSGIUha7tjCVizOeu9glCIUotmZp/OjdA3RVIcuFOc+ltRaaoohz4SxgOBWCXQqY61gkqUhTyYuc/YFHGKecW2lWs1e7rEGbdQNNETNhSZZ45gmmV0maV8LzFLi7N6FZEzO0E0Far2Vyeb3NpY1uNQ86wSfVH0GUfuz8ZOfIqYzBJk7Em9eP+N7XNj7yWjscehwMPObbFmufIZ04TjIG0wBNUZhrm9XZbOoKweQvcm74V4mTv69ZN6g/9PcNpwFRktFtmpVA6GTWDqAbClIhyHjAExPpTj7bE3GTGyTMShfnh3vIH1eDWoaK48ecX2rSqRvkeY6uq7zxwSFFAZahsH044/xKk1ZNJ89ywjxHQkKWZcIy8SeMI370ziFXNroYusK55WY1Tz8xZLJNDUNXsA0FP0jZ7bsYmsLaQgMniFnqWKwtNVAV8IMUNxTGclDQbRllz0ZwAlBkDENFU6FR09A0hSTN+NE7+xi6ynzbxgti0qxgc7VJnhXi+peE8CNOhBNHXsBg4ovf0RAJG62GSZyKdLfdY4dOw0DXFFbmaqzM1Zl6MUuntVin0KzpfOXSHH/0+pboAeUFb9/qoygSy3N1/DBBkWSRZBgkjGYBS93ax5pGqorMtQs9/DDBKFMOz/CLw34p4vh1Nkd57fllbm5P+MHb+2cijjOc4RFkWc7dvWnVh7+zO+XlZx+kMomaVtTlYyciywtMXSORUzRVQlfV6meRBKcnywR/RjsRF+Tie0tdCz9MCKKMmqny6rUl2nWD4SzgG9eW+Rf/5i2GpQi0bqqoilwmCUl0mwaOL8jefij24fPLTZIsx9AUFEX015IsZ3WhjixLHA49JElCV2W+9/IaP7s1oFnXUSSZ9+4MiOKcTlPUNA+vkXGa0awbFEVBngvj2ijJkOUcP4g5v9LG0BUsQ8zo9/ouqirRrBn0xz5OIBJSj4YOmqZilnMQWZaZb1tsHzlYusLF1Ta9hsnxJKDTNB5bp10/oW7rpGlGkqTkucLqXB1JlhhMA3RPPK+fpY/NZJIsZ3muTprlmLqC68efeiafpDmtukGW5SVH5LQjWJzm3NgaAZSJqQ/mOF9kMsbR8BH+xMhj5WOEp2d4OvCrMPuraY/XuZb19IkHHkXrI/hbX2bIDyVvSIAiP33X042tCUcj0XueuhFv3zrmxSvzn/l5nr6//AyYukqhCRKj40Vc3xrj+An7fZeVuRp1WyfLC96/O2Tr0CHP86oZ4HpiGJMVBZauULM1aobC3b0piz2bum2wc+yKgsXSUCWhhHW8hLt7QhjSnwQUeYGsCPXm6nydr1yeo10223RVZuLFBKGI55Jk4RBRZEXV3FFkmSzLkSUJTVGwdJWV+RqvXF2kKGDv2GHmx8yXyqS8KCq34Lm2zVIvQJZlztV1VudrJElBt22hSBJZXnBusY6qyDRrGpvLTUHybBi06wZ5LlEUYtCslXLcTtOkWdeRPKkcIIlmbRxnjGYhrbpJURSslnHLlqkSx5kQORgGzbpomJi6ghem6JrCnd0pq/M1pmFaFSaWqfL8hV7VDFQUQVo/cc5eXajjBwmbKw+GxkXxwAXkpEEaJykf3B0RJRm7xw6qKrPUrRHGKdfOf7KT7p29CeNZRJ4XuEHCucUG812bohDXTZRkvP7+IfWyAT2ehXzj+WVANERPiHT7fY/nL3QxjaevkTmcBtzZFUzqvb7Lcxd6v7CB9Umj19RVikKkxtQtkaQz8yLu7U+FW54ssbHUYOYJp6n1hTqKIvPXXz3HD97eF6IkP2J/4DHzhNPS7rFLfxRgG0LcZRoqz13oMfOEm7bjJ6gqqLJCQcFgElKzNIIoo27pGFrG8Tggy4WrJXmpyi5yQRahKB3DNZEqMhYHpXtRJhrthsbdvYiZH1MzNf4/f3SLf/i3rrI38Hj7Zp+iKIRLcJGX0ckxW4cOfpgI0rIEiqKz3LXQNI3zq00MTWXiRBiazHAWYsd5lVAw1zKomRr/9ae71UD7eByzvlhHkqBd18uGqFUKXUTj9mEXmNu7Y356/ZidYxdFkrBNhY2lFt2mcB8+Wac+LQ4GnhheFwVbhzNAQinv8Y2lxicmdZy8zjM83UjSnKNRSJykBFHCzI946+YxP3z3gKIo2D506DZMfu+bmxQFlXN1u2Ew1xLR80GYMPNiigKub40o8gJVlelPAkFiynI0TUGRpTJGXOXyRpe8KPCCmKkbsz/wOBgKR7qTIZgswbPnOuz3RaJTkgoi9cnad2d3wtu3BjhezMxLmG8r2Jb+2CH9f/zOZf7o9S38KOW155ewzQcF9aPXsW1qbK600DWFiRPy0xvj6nGWqbK2UOMDW5BWhHuWRJJm3NiZkKY5O8cjJISz12AacG6pyXAakaRC6NK0xf7/wuU55poGP373kE7dQFFkFjs5QSQe9+LleZa6Nlc3u+S5iHtP04KdI4f9gce1811efW4ZVZE5HvnMdyyaNdEAyfICQ1cqB8DdI4epFyPLola4YnSoWyIl7MSp6uR9yPKCtYUyDcSPOR76KIrM4dAnTvMqUeNo5NNrmaVAJCOYpvTHAX/+sxGenyArQijy9WsL6KpwAzuph06glwOhmzsTirxg59il1zRw/IQsLyrXw+zj1AGfAnf3poxmIUGUcDQOOLfYQJKkU9faGT4ZLz4zz86RgxskzLUsVuZrHI8DojhDKk7vP7IkDqsPu+1HcY6qSLTqJlaW4flpRYbywgRFkdFVheE4REbCj0XscRhpfO/r66RZUQ5kDRRZpt0w6bVM8qJMwopTkIQhncSDazrPcxw/4cb2mOv3RxwOPLotk1s7E/7737pQDXdBpPycX2mVdYJauXgDpxI6QNxnw2nA9qFwsbm9O+XaefXUkPwkccQPhZBJU2Su3x9xZaNzihxZFAXXt8YVgXLihDxzrvtzfV6/qogfXkcKSNLPVvuc4YvHw+SHKxsdnt3s8Mb1YyRZosgl0rTgsC8iwIMo45PK1RPnftNQKcoInpmbECcerd2xMH8IE/zyzC4roKsKDVuv/vckbCyJs3UUZ8y3rY89P5m6ypWNDkcjvzrbnEHgSWSXz4uzs8TTh/mORZrlzLyIVt3g3v6kcqtabBnUTJ0wSanXheCX8uPNc+hPQooiRw4kXrg4j6HLGJpKXuT4YUaaZcz8pCJXS75I4FxuGMRJxnKvQatm0J/6pVhZ1PNFUWDqKitzNYqidLV9Y8Sd3QlFUaAqMqtzNWZ+TMM2ePXaQuluLZID3rk9IMlyvEisKyfXZd0SaYFxmmEaIkZ6oWMhSRKtuoEkSQShEDf/+/96mzBKQRKJH4auVElj93an1G2do1HAf/vZXuW0/96dIf/jdy+W4mKdKM6qJI6Dgc/GUkOQLG39VD2y13f50zd3oID37w75rZdWObf8uAN5muZ8/8dbTJ0QWZZZnqvxzLmOcPduWqcGp4/W2j9v7f1FYbFrV72/dt04Vbcfj33u7wvxyv7A47kLvady6PZlR8PWWJ2v0x8F3N4dk2Y5ciJV54EwzvACoCjEfVGIQb4kibQ9uRBJuYYmCaGHpnBuqcnbt/tQFCQ5qBSoskyrbjLXtrm1PcELUo6GHkGUoWsKjVofU1do2Br7fZ+aJRyc67bOzI0I45xnznWIk4zL5zo0G4IU0W0ZHA390olb3Nuby00khKFKzVRZ7NhkecHICfnN8yv0WhZL3VppCGOz23dJ85z1RZFKfeVcg7WFBnd2J+iqOBff2Z2wvtjgB2/v4wYJz1/okWY5H9wdVWfgIEpPJaA+CU+qTb791RV+er1PnGZcO9/DNh+/zp+U1PPz4NHe4qPn+DOc4dcBJ/0210+4sNqshFgna4+uKlhGwcZig8EkpNs0aDdN2nWD1fk6jp+IXokk0aoZ5EWBrsksti3W5sXcxNQF2VqWJUFe259wOPAZTAKSLMPUNdI0Q1YkmoaBpitEScr2sUiWOBr65EXBi5cXTu3dWZ5z/f6YmR+RJFllhBYlKXsDjzjJaNo63abJ5fUWEyfED2LCOMfxItKsIMlyJm6Mrkj0I5GuZug6vZaFaarUTJX5rsXtnQmaojBxIi6uNdlYahJEKdtHDq4vRBmKJPPyMwuEccr7d4diNhwI4nS3aWLoCrd2JiiKxGgcMXMjTF08Z8PWefZcl5kXU7c05toWe32XJM1Znqs90cAjL4oqSUO8H8IYZ7lXY+ZFDKYhBeAGKYcD97Fk84frj1bdqNJZQRh1vH93SFYKGZ80P0nS/GO/fhgHA5c/fmOner2/+eLKKTHgRyHNcj64NyROxHP7YcK55eZjc8Nr53u/UkKO0Sys0uWkvsvV8z3qlsbusVPV2IcDnxcu9dBU4bK8e+RQFLAyLz6n/b6HJPGYYObk+szLPbDXMhk9lEJ40kM+GrpsHQpC+kl//uH9+9J6i91jl5qtkmUF9/ZmGIY414RxSpoVKDLc2p5g6AoX19rsDzxhEmeImWlRFMRJTpwo3D+YcX6lweX1TpXAc/Vcl/2Bi+PHXFhtM98x+S+vbzP1YhY7NqNpgBdm5f1flI1SMTEVa5FCq2ERhgkNW0JRFJIkpUCiZiokGfTHPocjHz8UPfowSpFlmTzPCeOcpq1RFAV7fZ88F3PjMMqYuCFeIBI7HD/hxStzvHhpnj/48TaeHxMlGTMvotuymG9bgm/xKWaauqagKDKyJDFxQrww5b07Q27tTFidrzMNYhRJ9HJ2j1wmTsy1892P7TcosvSR/aMzfLHYPRb3zNqvsYjjt15a5X/+Pz7kndt9Jk70pTBNOMMZvizIiwdkani8J2UZIgkvjDORgKHLBGFGnuXkObz2whJ7xx5xkrK+0OBf/+cPCCIhsl5tGHztm5v87GafubbF3/72Bd69PcQLYlRF4p07A3YOBU/mj9/c4fxak8kN0Zt79nyPbtPkg7tDbEvjq88u4PkpbhBjGSqX1loiKTSI6bVt3rszYG/gkudiv61bOlFpKuNHMT9674goSdkfeOwdO0jI2KYweO62TFbm6+R5LvbbQsxYC0miyIVAIkpyJCCIM3KEEbTrJahySF5AnhVc2lD48N6I/YEHiPnls+e6p+YxW4czJk7MTJHotUqzHF0IvPVHiOH7A5dxKWpxg5TVxTp22XvzwwRdVao+arOm06oLoUuzpjN5SEwOVDXWx+HkuTpNg4WORRCl1C2dunV6v/6j17cqwf1uy+XbX13jxtYY21RPCYB+Xjxaozw6Iz7D04mT2d/h0MPQ1ady9ic/IZ4mSUB7yo9+uvr0zQrzR+co0tO3TiiqTM1SSVLRO/q8M+CzycxTBtePubUzwY9SgjAhSQUxerFnY5sqbumesTpf5//7Z7dJkowCoaRsNYTS0o+EUvPZ8z1u74x568Yxmirzmy+u4PoJf/7WLk6QUrdUlrp25aKiyDJTN0JCIqeonKtOotRP0GubxFGGFwrHryAWMWbPnGuztljn/sGMJMvptoQwoijg2QtdLq91mLqRSAsIhGvg9ftjCgo6DYOwJYqMVs3g4mqHxa7NrZ0xBwOfOMmxDBUvTDga+bxzq0+nYbA8X2exY7O+2ODWzpj37wzpTwNW5+oiks1PmLoRt3cnuGXzQ0SAKmiKRJRkuH5KfzomToSjxje/IlzJf/TOPooqVyKUXtNk4SGnv3v7U3747j5pVnD1XIf5ji2ELWl+Kj69YWu0GwYTRzRWn7/Yq9z8g0g4ayBL3C/dhgQxrsnRKKAoCvwwRSnFKCdJJerHuGMAlahElkUDfGO5iamrHA69MmEkJindC21T46CMhwOYuOJnszxn+0gUnasLda5sdD7x936ZMHYexDEVhXC5/EW7DgqRRhNVldk9Eg0XTVXYPXKJkoxaqRB/NPlkdb7Of/+t8/yX17f50btOFZ83nIa8f0cQnf1IpLVIkkQQJZxbbhDGKXlekKQZ/XHAvf0pjh+T5QXLvRrnlhp8cG/IwcAjznIMVbw+01Bo1ww0WRaEzjSnUdO5vN7h1vaEuHy+IM6IkozxLETXVZo1nSjN2Dl22DlyORp5pHlBf+Qz9UPIZRo1HQrQVJUoFyRLz0/YSQvWl+q8fGWRlYU6H5YN9CTL+fF7B0RpRprm/Le3Dzgeh+R5QZhkeEGCLAknvdEswg8zvnJ5jvOrrY9sLg4mIU6QkGc5syBh7BTc2p0y17bYXGrytauLn+lzPR753NufVg6JCx27IoFP3OgjRRx5XlSCKstQuXKuc2ptOMPThbc+7JMXuWjmF/De7SHtuimSC7ICVZHYOZ6RpLkgwoei6TDXEm7Md/YmzFxxEH92s8O4H5IXRSUQcMOEuikSGIIo5dJqi++8/GD/3T5yuLM7xQ9TDF2h0zRp1HRulITmZk3n8nqbe/szsrJZUBQi3nCvHNDUbCEqnPmCCH7lUSc2CTZXWoRxzL/9k1uMZhGWrvBbL6/SqhmsL4qh22AScL9M3cjzgjhJGUwDuk2TPBduagttG9vShKBTllidr5cCC1Gkj2chw/JnwnKtMXUFwxD3yMZSk7/2tfVq3e61LP7X71/HDRI0TeGZzS6GJnNvX8SOy7LE5kqLNHGZBaKWSrKc4TRgvmPz3IUer15b4ubOmJkbEyUp8TRj5sUosszqfJ0fv3eAUh7o0nJ4udirsdSrUQBv3Thm5sU0ahrPXRSCzdV54WQ1cx/ESE7LffTR1J/RLKzI56OZWOfm2hZekOD6KbYBR6MMVZYI4oyaqRFECQeDnA/vj1AVmZqpMZwEHI98apZGluesztexDJW5zxHZ9zBO9n8/TInjjCTNhUjHjc5EHJ8BfpDytatLgDiUHgx9dg5mfLA1InrE+F5VxHrycFMrLwn3Uy8WdZcEkiyJYbUkBtsFkAcQJCnPbj4Q98ZJzlefmedP39zhzm7IfMei3VgQ7tcLDQ4GXlWDJknO27f6HAw87u1NaTZ0Fjo2nYbJaBZRAFGcEcUZw2lYiYVOMN+xnpj8sjxXY+qJBDCRRGJy/2BWfb8oYOpFpwbktqnRbYn1FEmcNUBckw8Pa9Isr+4hKB3Mz8jNT8RXLs3x0xvHUMDmSvMsUedLhk7TZGOpydHQ591ZiJ8kSFJBnOafSXAjlY6zlq4z8yLiMMULE65vCQLoMxsdsnKf1jQZTRZkAfjohA1Flji39DjR+aPweRLuzvDp4IcJN7fHxGnOfNv6VESlM3w5kGY5YyfE9cUZPs/huQtiv555EUdjDz/MSoGGAiWxTJIKojithMZjN8APMjRV5vxyk8OhR5zmFHlGkmakGSCBqcu0GwZ5eSYJEyGUSHOoWzrbxx5FXnBprcnOkcvh0KNh69zdm1R1hSQVtOo6ui6ElusLjaqvNPJC0iwnSXJkCY4GLm/kYv9d6tm8c7svekuWRs3SeOPDI2RZYm2+ztgJCaMM59gVZ6RYOGRTlGKXXBDTi4cm0fcPZugl2TCIUv7i7X3yHOq2dso1OIhSjkc+YZxV98mJO+x+3z1FTNzvu08UcXhhwp3dCccjH0mSGM9CFrp2dZbrtcwq9Wtlvo7jj8nzgrqt0W58OepjSZI+0q118lBfLM9F+uOZiOOLxeFQmH5keSFq2oZJlhekiRBWF0Dd1E4lVhyMPbxQ3OsSIoVDTnOORgFRIsgI9w6meH6K44uemG3pIBV8cG9I3dKxDBVdk0lzUV8XpXAahCBEKmA4CdA0hbjs66WZSHZUFJnFrsXVzR7Xt0a8f2+I5ycsz9VEamcY44cpK/M18kKc5xVZZm2hjq4pVe39wqU5NE0mijP8SBBBTu6Xk/+euBGGrmJW7s3C3OH19w4JIpGw/bD4YeJEnyjieBJsU+dbL63+vB/nZ0K7blC3NSZOxMHAK80bJC6vd1DO0gLP8GsCXZV56co8N7fHDCYhWT7m0lq7WidWF+pCwKAqXD3f5fJ6+9T5fW2hzt29KTVLJMWPZgH9SUCY5Eiy9Njjp16M6yfs9R38MMUyVRRZCKgVRUZTZZoNg+ksQpIEaWvihPzx6zvc3B7zO6+eEwZ4WYEiyxg6dGSDvWOXOMmYujFhIuqLPM9xvJgwTmnYOrt9t0x9T8myDE1Tadkajh8zmoUkiTDkkCWJDDi/0uKlKwt8cHfEaCpSC1bnayx2RaKIbWpcXG2xf+wSpzndpkmzprNz7BDEGboi4wUJEyciSnLhxt8TxnZzbZutwxm3dqdIksRXLvZYKvuXJ/iks4OhKdX89XgcsNCxWFuoszRXQ1Vk4iTHNkU/+/7hjAJOnRM/rv6YeTF7x4I8r6kypqE8Nj/ZWGxwo2UxnAYoisTzFz86YmDvkbpur+9+qrNREKWVgAPEHnNu+XR99KQe1dOOk740lLMBN6Juaaf+7jTLcYOETkPB0IRI4mFcWj/99QlcPzlFLtwfeKfmXQcDj794e497+zN0TeaFS/NoyDh+cmo2q6nKqc9QliTevjUQBk1hQpbBUs8WRneJysW1Ni8/u8jescvO0UzUWmkujOtklTzPadQMNFUWsxNNEUlBjkqUZtzYGrFzrGEZGhfX2rx/Z8jYDZlrWfhhRn8SkBdi7l7kBakkYRsaMgXnlpu4geAlBKVIY32xRhQXOJ5Ya3pNi8E04HDoEyVZZVq5sdigUTMYTAPGs5DdIxfLVJi6oue713fYPvI4GApDj6OBxywQBpqmLtNpWsRJRs1SHuvLfhTWFxv8xdt7jGcRnYbJ+kJp6peJ1I/BNGBw7FJQMN+xubLRfqLQ6wy/fJyIrH6dkziWejUurbe5vTPhh+/u8zd/4/xf9Us6wxm+NNBUmaWeXSXerj8itLyy3uaND4+IEmHy0GmYvHNrjzjNmG9HzJx59gceWSYMY4MoZTgLkZCYb1k0bIMLq23qtsa9/Sl/+sYOTpDQaehsLDRwQ8FJMg2FJC1YnRe/3/XFjE4IrguCMCXNyhRwScIyNd744AjHj1mZrzGcBNWMMopzbu+OCeNMmEgkKVGS4ngi1UqWIMkKBtOAVs3gaODxv//JLfw4ZXOpSadhcDBwKQpotgxsK0OShTmGrijC/C7OcMOEmq3Rrovfa+oKfpTgeDF5IeaYRSEeCxBGKrqu0CvNbXaOHK5u9qoZyNSNT6WIGg8Z4NVtjaWOqGGQ4Mq5Dh/eG3Ew9DBUhW+/vMpit8Yyoja2DMH/zPOChq1/7JylKApu7wrekWkoLPfqBHFW8UYeFlXHcfogMRFhfrzYqz123XwRWCiTB+Mkr84YZ/jVwMSNmHoxWpgy37aoPWUpFluHk8f+beKH2PbTffZL86ev51ggCdFdITgv8ceYOHxZ8cqzC3xwd8jMizFUhW++sPy5nudsMvNLwMyLmTghtql9bgJdmuUcjXxubY8xNIXhJOBw6FGzNKZuRBSn9NoWVzY6zLUthtOwEjQgFcy3LNp1nU7TrIiQcZxyb39GnGbEscS7t/oMnYgkK8hzkf6gqzJ5Dp2GgSxBo66jqzKSrGAbKp2miCA7GvnESYYiy4IA1jLwwxgJsHQVTZP54TsHLHZrfP3ZBfYuzXFje4wfpXhBglSIGLfBNMDxEmqWyvHYp2nrIAkX6pU5heNRgCpLvHJ1AS9IKBDiEsuQCeMMxxfpBP2Jz/HIp9c2ORr5ZEXB1I3RNRGJemdvQqdugFRw/f6Q1bkGlqGhawqX1tssz9UYTgOmboxlKAymAa4fM9+xuLU9rginkiRxOPSZuRF+EHNrZ0yU5Cz3bO4fzKhbGnmecXN7wnzHRtdkNEVmOA2qON4TJ5qjoUfd1mk95Hy+c+QQxRmun6CpIpqt3TAJorRsKIOqSoRRRn/iY2gqBwOPubb1sYPXmqVV0dCaKlcD8Jql4YcJYZyQpFn1WjoPEeRqpsbMjZk4EWGUsdhRcH1xrX3aRtGXAXVLO1Wc/jIbsStzdeZaFnlRiJi/RBT9XiDcpZ6EsRNhmyLi2g8SgiQTUceSuLZdLyZLxdB3+9DlwmobP4xF9LemcGdvwsHAK8UiOmGUcjz26E8CFBnyJCeKBSm0UzdYnrMZTkPqloppqDRsDctQWZ2vc29/IlyAw5TV+VoZNaiR5zmHQ4+b2xMKhON9GCeMZiGSJNTuo1lIw9aYs3UcL2bqRcRpjqzk/3/2/utJsuzO88Q+91zt2j10ZEbqzMoqVKGqIBot0Gp6enp6Z2Ztdpekcde4azSu8ZHPfNo3/hvLeSD5wF3jrs2sGtVoNd1AQxQKJVOL0BGu3a8W5/Dh3PCMzCyNaqASiK8ZDBUZ6ob7vef8zu/3FRwNY/7qp3t8981NHb/rCC5vtvjpnT7MNeFzHsTc3VaEacmFtRZSKSbzDNsM8ByLhm8znWsRkpRqMSAG3aCeBrpxWnMsDgstEikKSc3VKv2ilOwczWk19PU1a86nkpNnUbZwg0rzkuIU2bb+CcKg0SxZuITGacHeccCVc2fkqxcVnis0aUppkVteSvYGMx03ik5mGM10ks5JBHl/HBMlOQ/2prRrDnVH7313dyaYQpO3B2Mt2Gt4NtN5Qqfp0m66eI7FO/f6rPbqyFLy+GDGLMyxTO2OHcYZB4NwQWiehRlHY03sH82eXvtOyNFFoSNHb17s0qo7/NXbe/z4gyN+67UNrm11eXQwpSgl79wbcm93iiUMRlLy/XcO+JPfvMT20Zxu0+Phvo5sHU5iJkHKpfUWSuo1rqgiUW1LCyPqnkWv5bK+3MD3LIQwtFNblFb7TEGr4dCqOdy81AX052ue/VREd6/t87//oxtsH8742Z0+Wal4cDwjL0tWuzWKQjvhOY7AyoQmxwxCbGEgS8nu0Yy1Xp3Lmy0urrf48OGQe7sTslyyvlTj6rk2nYbD7nGAVFDzLDa6HudW9HB1rx9Q83QUed3Tg6+T59+1zSqqVK8TWV6yfTij1/JonHKqqrnWInqy6TvEmY6X3Vxu8O1X1ni4P1sMwmquwY0LHf7m3QO+96MHZHnJza0uX39phSDKdZSsMKj7Lq9d04POg0GIaRqs9eqfShqRUtd2RakJb55rUff08Nl1dPztiXDzV2mQ+YvASR0FEGUllgmPDmeLWuAEhgGOIwii5+sCBYvBoO8KhKFF0QIoKreYXJUUhd5rei2d9uLZJh8+GlH3HdZ7NralBdpL1WB8FubMghTX0eldS8Lnzs6ENCtQhnaQu7zZoe6ZTOcJlmnQUg7d5pP7OC9KDocRpjBY69UwnxH41n2bN66vLETNQhjUfZvh6ZqsenbGs6RynHG5dr5D3bN4uD9b3HuNZ+49y9Rk15PXsu7bZwKOj8Erl5e4sNakKOVXhmT6Vcan3ddfFqRUHI8j8kLi2YKilJXTZElZfn6XokIqsrTUCXGGNmIQEqbzFNsSHA31YL6UJeutGvMoYzhNWOvW2T0OFgOTM3w1sX04X5CO+mMtfD0TzLwYOBpFHA5CTVB2zUrUrOvaolCs9+pESY5tCx7sTcgK7RLX8EU1ONTnjfEspeHrXt279weYpkGWldosBdAp1AYoY5HcmRUl41FMVpRYlgAU670aaV4SZ5L339tnMI5o1l3mYcY80gmf7YbDb722RhiXtOoutx6PF2vhYBIDCiklSgkGswRlCIQBh0PFN19aI8kKbMvg3s6UTtOlLBU/uXW86JFmeUGY6Nr3xClvpVvT6Z2APMXMW+34TKpaKs1KwqTAdyyCKCeIcpY7PqVU2KbQvZO0wHUsaq7ubUip6DSfdp9rN112j7Uhy/pSfVFrCAyGk1i77VWpqidnuck8ZThNFqLVZs3hjRsreg13zBeiBnmKsGec1fVfNvS5T99XwjCwTFhu+wRxjrKh6es+WhClGIak23QQhmA41W7MJyZkBrpGSIuCIBH4js2jykgEFErplI40K6m5FnGSM5kn+I5JkuYUhcIQlau6VEjDQElFr+1RFDrF0rIE03lKGOe8dLHL7rE2+Tkex6SVA/3hMOTSZpuaZyIMg/E8Za1XZ23JZzLTiZWGwcJRsu7bvH5tmZ3jOUGUkZcSV5hPnfuT9KSXb2KZAiFgNNP9d6oE06JUix73R92jJ70+39Nu3VEljqt51s9Vt33UmfjzQAiDly/1uLszwTD0/GIWZPTH0acm9p7hVxcn92vdt58i9rzoeHbWdRrbh/OFe3gp5aIXdjyKME2D166tgNIC1Wf3zqW2T6vuUJb68+/eGzCaa8HDdJ5ye3tMzbVY6dZI0oIPHgx1P87XJlJCGDpR1zBoN/Qau9Gr02u67PVDsqwkTgtadYdpkPGDdw/4T//gGkUlonvvwVAnelRkN88R7B7HVUiaQV7q9PC0LEizQv93ViKVRKmCQa5Fn3kukSjyUtdoddfi4nqTumdVZPmMaZBiWwZvnnK91cZjqU5dFToht+7p1+NxX88NW3UH1xYcDEOUAfMwZ2OppklnUmEYisNJ9IXe1621Jnv9OZcqU7LtwzlXz3UwDYOilAuDjrpncjSMWHqmz/lxyIuSeZxV/y2fMr4BvX8ejSJeu9rDd23qNfup9NdnoevJ8eLjE0Lds3j2+fMccyHagSd7zMf1qH5VUPds+sRPPvZtPnw05MH+FM826TS1SPlk7y1LyeFI1ybrS7WPJfRHSc5oFjMJEtp1nbjXa3kcV0kUnmsxniVMKxOr3eOAMM559coyr1zWKbqneyIne6+UqpoR5FiW4Nxyk3mUElQmVF3X5MpmGww4HoV4js1a16eQknmQ4lSC1Qd7U9aXatRcG4Xig0dD9o5Dtg9nKANs08AwBMNJhOcK2tJBSslwmmOZEKeQF/oc4BhVXWUYrHR9DgYBQZRhm1p8PgtzXrm0xPbxjOneDClzuk0Xs0rcnoYZslSYhkHN04k5Zamwbe2K7rsWeS55fDhHKYMkK/irt3ZZ6db0mSfOWe541FyLvX7Iq1c8mqfIZjtHc/b7wYKw2aw7i/7Ofj9gvVfHMgzGQcZ7D4YstT2adRvfNYmSYpGIPJ4lfPVPNL8+2Ovrc8WvcxIHwO++fo57OxP++u29MxHHGc7wDC6st1jt1RCG8dT8HCBMCjoNlzjJaTcc7myPcWw9503Sku/9eIeaZyOB0Z0+WS6p+zYCbSp7+/GIaZDiuhY/+iBiXnEPxvOMUk44HmvR8sZKnV7LJ0n1jC4vCmZVup4QBbcejXjlik4Bq3kW3393n93jgDQtCKLsqVrStfUeiDL0DKPUPU8UKLTjrSnAs20sy+DW4yEby1qE8OhgRpIVtOsOpdRCRZTBJEwxDT3jsSwDz9ECDVOIRXJWXkhsIbAsg1KiZyunaiPbEVimsejZrD6T6ln3bW4/GjMJEi6sN9lYqhPGGUWp0+rWl2qMZjGWaWILg4Zvc2m9hWkaTOYpjmUyj7LF/v1Ze42jWcJePyCMchzb1DW20ma/KBZ8rbyQmkvomRwNdU24sVSnKEoOBwFOJbT4svqarq2TE8ezhF7be+7e/Ky15hm+WgiijKNKNJYXkseHM165vPQp3/XVQtN/vjdXt1888cCzGE7DT/+irxjaTQcONf9FoFj9OY1pfxlo+A7/9T97leEsplN38P0vllZ4JuL4e0YQ59x6PFo4gUipWP0C6sITJ+3jSYyhIC1KxvOUUiqG0wTXMelID8+1uLszIc1KPXxJMkxhME8KLEfQajhEiY7M8j0LjCp2q4po9xxBYpmEShdeyjDwHMHWWpNvvrzOLEqoOyb9aYLvOfzumxs8PpxzMAgWogfbFoxnKVKCbZuLxkRRSn5y65i9fsB//sc3afg77A8DhCEwgA8eDOm2PHaO5gvHPam0gKAsFfd3J+wcB6x2fQ5HEa9cWdLONVJhGFrMoIsJTWRTSukGnPUkWkyXGoosK3nnfkC7bhNn2knjzRurmEKwudyg7tk4lqDm2qRZxv3dMbZl0p/E7PXDygVEi10eH84RBjw8mOnhkBAUhY6Tb9UdpNKD5ZWuz8ZSneE04eG+juM9HEVcXG/y5z/ZXZA747Tgt7++SVZIsqxASkma62G2XZHdTgZBe/2A3twjdgv64xjX0Q4i/XGsHc+sjx5UXd/qsj8IkFUiwwnR3TAMpFJYpnZm9T2btV6N1288aR6fX23o5qaUeI61UA9/lvi2rxJOBmZRUtBturTqv9jI15MCdants9JNSDMtyvi4ofkkSDkchsyDlCgtMNBErmbNJYoLolS79FGlsfzr7z/mgwcD7UAVZ5RSO35rYZXJ6pJHEOvvCavvN4XBZKYbhhfWmgynOmEjSnSs4eODCedWW1w51+Ld+wN8R6d+nFtpcOVcm3/7Q33Ae7A3JYr1QUtKRc21qNVskiTHKgxeutBFSoljCYQwmEVpFZ+tG1Hf+/EOlqEVl2lWcjyOiDNJURZkOWDkCKGFLb2Wy2qvRpIXdD0tcJrHGdsHM9KsXDhyTYOU24+rZr6Caxc6uI5gEmaMpymllAt152gWczAMEZVI6yTm+eOw0vEJYi3kaNYcrmy2kdXwaa1b+9h0nJNm6Md9fIYXCzcudvnRrWOm8xTTNOi1fEaVs6VOnzFZ7foopQlOaVayPwzptTwGk0Q3ExpauHhC5FJKkZfandM0TWZxjqGMikwdc2Gjyb2dMZ5tU6oSJSWNpkfN06KrJHl6CIaCjZU6hvFk7WvWHL51cxXHEhyNItaW6qx0fP79Dx+zPwipeTa3Ho/5v/0fXkcp3XAZTbT4xDYFeSkZz1OyoqwEgWpBsaq4TliW4PXry8zjlLKE5WqYtrXa0M9Jr856r0ZZKl662NVEMCEolWQaFgznCVfOdWjVHRzLpNf2WOvVFnu9VDCZJTr9o5CMg3TR0DEwUEoxmCZ4rrVw/6p5NgoI04L9B0OiJOfa+S4P9qf8o9+4yIePRuwc6cb40Sji9esrdFseh8OQvNRr6TDIycoZVGvMicNJEOcstz1W2h6Oo93+Xr7U43AYMpollBIOhxFHo4ivXVlaOI15rsVLF3vsHgf84TfPM6icKV662GWp7fP4cP6knjEMPNfiv/u3t4irZthwmvBH37nAK1d65KVEGAbLHQ/HErxzb7AQm83DnCvn2h9bI4BOEzsZWPYnMV+/tsz1Cx32+gErUnHzYockkzR8+7kG1Rk+GedXGyhDEUY5vmvykw+PtMApf7oxoBQfKeA4QZyWCKMkzQyankkuoeaaxLmkyEukgrpnaZG1afCtl9c4GEYMJjFBlGMA7YZDWUqORxGPDmaMZjrFZbVXo+5Zum5WCqWUTt2yTYQB7bqLUuBYJudXG9jWk1rww0ejRYN2FmbcvNR77tpNU+Cf2hfXl+oYhkEY51qo1nAZzRLu7UwA/by8dLHLxrJ2950GGY3a8+J4wzB46VKXw2GEYcDm8hk56pPwWcgVZ9D39QcPRwuh9SzKuHnx+fv650FRSgzD4MHemONhjATeezAijAtsS2hxaPVcf17kssRIFY5jItAkobKUmAIeHQY4lklWlmwfzUFRuUJCzf/oVlFZuWF/FkKkjo01nhJVn+HLw9nR4cXFuBqqnYgVXr2+TJqWGECzbvPBwxGylIznBfNQE4UUECWSV640CeMC1xGMZglp9kRQYJnG4txvCv3fOrWSStihHWmDOKMsFcI02E6mhFGORDGYxByNAgwE/UmsBaJV2lcQ5+wPEu1em4bMwmxB0pxMdQ9BSr1GDCYJJ923vCifImApntQ7p8+/dc/hmy+tcDCMcB2T9eUaNccmLyStusO1rc4iBe5rV5f5q7d2iJOC5bbH9nFAKbUDnyH0Waqs3G2nQYowDCAliLJFH6jmW3zz5gp7xwEbK3VKqRbOptMg45XLPYpSYVpw6Vyb/jjWaQfPkPjUMw+iJuqLF0LAATohTQjds+223OcEsmf4+XD67gjinCgpWe3V2D6a4XomWSk5OAqQEtK8wBIG9ZpLqYynCHMK3bNHGlq8p3Jt1mAYlIXENA2CMKfX9rmzM0ZAleSh92KUJh2stD0KCXGSUSpNerVNwYP9mRZto0iqtB/LeuJ65jkmzbYHwuC1q8usdn1+dm+AUkqfKZXB+rI+ny+1nxY77B4HHA4i6r7DNEzZ2OosUm8eH86q5EG9Mvzpb1/iaBTRabqLYZ1tmVxcr5OX+vnfeEb8MI8ybm+PQenUE9exmMx1qumljdbPVbc9OphVIrUnZ+LPm0BtGAaubWKKJ993tn//+uL0/QogJR+ZXvmi4Xgc8Whfp2sejiJevtSjeeqsefvxiPEsRQh95r+y2VkkcIM2fLm+1f3Inw16HbCrZcVzLWqZ3quORtHC9OH+3hTXNrm9PdbpDrbAMDRJShh67TQrcvUkSEhTWfVLCj2rNQzSvKQ/Sdg5ZbLUaTjc28kYBylxWjCe6RkCSmIJPaer+TZBmCMMgzwvKcoqHVXqM5dlCRzbpChLikKBkIwmMW/fOWYUJGRJgZK6LpIKispgryglb985Zn8QVukDBd2mx8uXl2jVbCZzQc21sE3dH4zinId7OoFgMA6ZRwVZoevL4BmRRCl1n+fj1jSltCu/KQwsy1zcs3FacHdnjFERAwUGvZZLu0ok/6zLm1cZhZ0kcayeeg6kVHz4cLQw5+g0XZY+hcBxaaNNUUj2K3O7ly89Tx76uOfv5sUex+MIyxQLd/uP6lH9KuGEnxDEmsR5f2/KBw+GSKWI0oLfXq5zebO9EM7c3Zlot2hgPE947epyxSkwFiZBWV7qM4xU2JZJKRWXNpvUPZuDga7V87wkK/W8O0y0+No2DXaP58RpQaPm8OhgxvEopJBysfcKw+Dtu8cMJ3EldhI6+buQCPSzsrFcxzQFHzwc4jgmzbqjU15sk1mUEaUlg0nM7vGc9V6dwTSmWXOYBCnHw4i0KGlWRjBBnCOVYqVTYx6mdFo2nbrHaK7Jqa26gyEMNpZqXD3fRkpdM8VpieGBZWohxH7l/B0mOV7l1t1quBwNI13XmIJmw2WjSvhOs5Ja1Yu9dK7JwSDmw4cDHNekKBV5nnHtXEe7WBcS1zF5+25/IYwN45zvvLrB9uGMv357jyQrGc0SXrrYZXO5wY0LXTpNl+E0IYhzBrOESZCSZhZhXHBuuYHqwuZKjfEsQ1GZO37EuSbJCiwhKlOAM/wiUJRyMXs6t/rrLeL47hub/Iv/+X3efzBkOI1/pUSxZ/j1xefpt38atJ/L82v3ne2xTmYHDoYRdc/CtQV5qWj4NkGcUVTDh7woWWl7hGmhe20WPNiboKpOhSwlnm1SSIltmewPIoJQ7x2P9+esLtU5YdW06zaTeU5RFlBAlBVV4odiHmXsD0KG0xgpNe/nn373Co5jkmUlV893eLBXpeOaBp2mw86hTiF2DZOVtlfVHdDwrecMjsfzhCgtQMEkyPna1SXubk+wbZOXLnR4dDAnyXMavlUZzui/xzAM6jVbG00YCs+zMA1j0dF0LYvf/+Z5PngwoFF3ePPGGvMwZRpk1H2b41HI23f6SAX3didVEqFAGJKilPzZj3aqno7mRZ1baS54Y7MwY1rV7ofDiOsXOnSb3mfqRYRxrsXzVb2bpIV+bYHjSYxtGXSaes3sj2M2lxsEkeacbSzX+PDRqBLbGCRZyaWPSCz+IhjPEh7sTav3RJ8LT5uHfVSt+aL0VX+d8ezZ76zX9dWB5OO5JV9VmEJwmiXz92Wk+PcNxzFpNzxc54tf/5mI4+8ZQZQ9tYLNwuxzizhODuCgycL7/RDbFLRqWjlalJIsl0zmKUfDaEEwCZMCMFDSoD+K+V//5jE12+Sli5qcv77coFVzCKIcpSS2JdhY7vBONMAyDUzfxhICz7O4cbHLu/cG7PVDjschdc/GtgyavsODvQk/uXXMpGpirHZ9Hu7PAN3sE0JSloqVFV0UHI8islKy1KkR56V2Cy5KbNvUylbbJIwLmnWdMoJU5KVcCERsy0Qp0LWM0kMay+T33zxHkkp+dOsQ39Fu1jtHAefXGnxzY1WTwUcRUVJgmzAPUyxTD2EfH8xp1VxuXOwiDEMni2SSv/rpLvNQN2q3VhtVlL2i7lt88HBElBQ4liDOSpTSbiPzMON4FNKsuyig1/L4nW+fX8S/7g9OKd8U7B7NFwIO0EXTw/0pf/vOPuN5wsEwouHbOJbJ1XMtfM9irVdnvx8wmib0JwkbyzWStCSvImJBN1Vt66PJWbYlnoo3Pn2/NnyHRqUK67W856JxjcoVfKVT49ajEXFa4LvWC+ki9lW45o2lOtMgJcvlRxIST+A7OppPYejUGMvAcSx8z6LX8QmTnHmV2BImGXe3J0yDjNEsZTLXyupGzcFAk3Pv702xTC0EifOCQkqk1A6YtumxudJgGmY8PpxpZyxh8K9/sE2rrt3dj0YxeakHHp2mx3deXeend/QQ92AQMg1SNpdrXNrs0G46pFlBYAoc26Lm21jCQGFQSKmdoqRWzrfqOjZRCK1WPL/axDYFOBCl+hp1c79GnORkucSxBaYhGM+1gnu143MwjNgfhKRZyc1LPYJqDQXdOI3TgvOrLVbygmxN8tadY8K4ICsi3rmnhUwby3Uavs0syj5RxLG11lwI1TpNlwvrzYVw5Kd3+kipWOn6z8V4L7V9hpNkMbB4kZJszvA8OjVbC6kM3ch+vD/DsgydVFOlxHz75gZ1z+bHHx4xCzNKqfiDb5znyrkW7z0YUhSKbsvl5UtL3N+bMJillculwPdMXNOsmg45linYPQo4GEYURUmj7uA5JtcvdHl0OOMnt44wgHMrDV662MP3rEX98ezaJ4TgjUqsd393wnCaMJ6ni6ZBXkge7c2Yxxn/8q8eMA8TiopEYSqDPCv4m5/t8+ZLq7iOxYW1JttHc+2uVw1ADANWu3WStODhwRyziiy9vNnm3u6Yv3hrB1MI1pfq/INvncd3TLJckmUSIXSj2hSCes3mwnqL249HBFFOXL0Ww1lCfxRjW4LjSUSa6rXBtgWl1KKqc6uNBUF1fanOLMrwbJODQYRja7eN/jjhb97ZZ/twznCWIAzdGNKpARbnVpuEsXa8erA7oV13aTX0a3/i7DWcxvz12/u893DEN2+u8vKlJXzX4vJmm7yQC7dbVRHiTshgUkp+/OEh+/0QxzL5/W+efypW9OJ6kwd7OuVkY7lOlpSkp+oHLZqzef3GCrtHARhweaNNmpdP0oKygp/dnTENUtoNh+tb3Y8k186jJwPeopAk1TDto2qHM3w+DKcxP3j3kCwrKcucxwdTSqn4nAb7gCZzyVIxDnU9aluC1Y5PGOt9fbXrs75UZ32pTrvhMp7p1I0k1QLJKM0RVeqPqEgL7YYWdzVrDkIYXDnf5s7jMQp9320sN9g9ni/WDHhSc+alXAg4QJPdPyuejdCdh09/7wlZdKntf+JwxnOsL625eIYzAOSlfCop79l78+fF7vGc/X7I8TjivfsDDMOgXXewTEGzboOhz5inn63Pg7wAJSWOY1HzrKpRDoahiQ9xVgCKKClo1mxMUxssfJTj0fFYC75QcH6twebyR9euSinu7kwqUrngxsXuGTH47wFbaw1ub48pS0Wv5f3CTQnO8MVhm4LxPF30UvJc19UY+nOP9qekuURWYu4TlEqnPdiWqZ1chcH+QJ/VbdtgNNP9xxPCoGnqGOqaaxFXpg+GoUlWUVrqvp8BR+NR5WSnKApQqjI4QOI4+tktCslgElWEZIFlmRwMdW+rLEuitCDLJaUSZLlOvDMMLV7dOw6IUi0SuHlpieEkxjDgzRsrHI11GuDqUg0E2uHONHj18jJBnFOW+nx0koR7gj+tHDezrOThv7vF4TDCc0xuXurSrQaSg2m8SDe0TcEs0k7WSmmxjHbs146AKx0Pt/pbJ/OUt+/0yQtJzbN4/doKd7bHGAa8fm1ZpxxV/ZvTpMIoybn1eExRyE+ss79KMAzjK9EX+1WFa+u+0sEgJElzui2X9x8MKKRieBzqZ0ZK/eyVMA5yskKn6AhRuS1RSaIqx+ckLYgX5uAKUZ216zWH0TRiWK0DhtD3fb2mawrfNal5ul73XZNpmDELMpY6Pp2mzcO9mFKCbQsms4T15QaeoxM0655Nt+ktzqezMGO57VNKyaODGT96/5D15TovXexxYa25+PvjtOCtO32iOKfmacLucueJq+IszLBMgSkM+pOYd2L9c5fbnha5gX7+VxsfO8Cfh9lT5OK8fHL2zXL5c9Vtp79XJ5YUTxHTPyvWl+sVSbKk7ttPkZXP8OuF+XNzwvRXQsTx1HOm9N/ZrDkUpeSv3trl3XsDorTg3EqDmlfDd82FgANYEHY+C86vNgjinKLQvcITY4IgzrWBjqlTcLUwTX/9PCrojyMsdNrp3rFOGLq43loYru32A7K85PqWzZ3t8ULEcTSK6Y8ThtOYJCuIkxIhBFKC5+p6zLFNJvMMqbQ44uR1kIAhwcDAEFDmWrBWSjgcR4zmMbcej8kKydXNNte2Oiil+OF7B7QaLqtdnzCpRP2lJsAfjkJmUUaWlVzaaPDDccw4SJmFOVe32limXl+zQpLmKUGc637sqX7LYBIvEpTPrTaem0ckacGtxyOyXJtVnV9tLJJUei2PqEok812LjZU6jw/njGYpW2uNz7xGdpseG8t16oGNZQnOn9o7srx8Kqn2s94f17a6XPsEMdDp/QL0fbrS9an7Npf99nNf/2yP6lcNq70aJ129H31wBOi+YMPTqSen38vTvb0k1enSRyNdz1/ebLNczSZPjIfqnnbW3lxusNcPaNX1c/L2nT5FWVbGcpJ23eHiehvLEhyPY1a6NR7sTnj7bp9SKtZ6Na5vdXAr46ndY/2cOpbAcyx8x2Y0SwmTku+/d8DLl3v0mj62ZeI6el4YRDlK6vNAqRRFoRhMtRkiGOz3A+YnRjd1B8sy8aViMk/YPpwSp6U+c1kR3ZbP9XNtWk2XOCmwbZO6r4Unnm3iWAZFoWjWLa6eb2EKk93jOa26S6fpcG6lSavhcNAP9b1oGFjC4AfvH9Kq2cyinIvrLa6ca1NzXAaTEa2GyzzOScsCyxLc2hmzuVzHslwtpEdxfrXJYBozniccjSOm85T+JMaxNXFoMk/ZXNaiqU7TZWutqR3PM4nv2PiehWWamKbAEoKVbh3bihd9n2dJo3/10122D+eYpsHvvn7uqef3DH9/OBpFixlX7xNm1b8OWO3WuHmxy63HY/7mnX3+49+9+su+pDOc4efC8Sji0aEWRF9Ya/5cPZqf3j7m/QdDDAO+dXOdly49qY0m82QxK7ZMg/Uln1uPJuSlniN+++UVHh1ow5nL59qkWcmtR2Nm1Sz5eKJFr55r8bUrS9zdnVDEikbNJMkyTkbVaV6SpyUXqhldw7cZjPscDnU9vZrkxHGxMF10LIPRLKEoFXXPou5bvPnS2uK6338w4M7OBGHAjQsdljs+jZqNEAbn1upMZxmzMMN1LP7wWxd5+/YxWaE5AKNpzChPtUFlKal5Nr/99U0AhuOIH31wwDzKsUyD333jHK26S15IxrME0xS4toVUirpr0W35C7FNt+Vy+9GIg0GEOY45t9Tg/FpzMbd869bRIlnCdUx8z16kKEVJwW5/TpKWGAYkqcPXriwv5ii+ZzIPn3Ca5mH2mdPSbduk5mpzXssUYMA8yskKnfY+nmcLEUeaF6RZycuVCV+Y5BwMQ8K4WPQyv6w567Nz4mf/pmdrzRMTnzN8tdGsOSy1PYbTBNM02HoBa8LhfPbcv01TeP50+GLBNF68OWF//IRDXUrYG85/iVfzxZAVkn//w8eMpgm+a/JH375A5zOu36dxJuL4e0aj5uhpS9Ugan7EYF1KyTv3BgRRzsWN1nMLnBAGdd8mjHPqns1rV5dYavvsHs/ZPZ4TxTmuowUQeVniOiZpppsLtiVIMh2RZciSeVwu3Pf/9md7ZHlBwzcXG+JS2+effvcKh8cT/vLtQ/rjkDRzeft2n8eHcwwBUVIiDMHWms2/+usHhOETNxqpFNMoI051TFfdtdjaaJBnJUmuCJOcSxstto9mHI0iwihn91gf+CezmF7bxzEFV8+3FgPqOC2qWC+PuztT+uMIxzYZTlNWe/VFnG+SlVw530FYcH9nSt3T7tdBlPP+wxFbqw2W2h53tsccjULitKCW2QhRcnG9ydXzbVDaCSxJSx4dzrS7eNU0zPKClW4dyxLsHM1p1mwans1onlD3LYyJVkpHacl6z6Xu2eS55Lde3VgUqqD/Jp2WUtCo2VWhO10IOVa6Pm/dOtKJANOEPC/prTWpuRa9ts+NC13itOBodDJAN+mPY3zXwhAlphDVgO7zP96f5X49gW0JXr26tEgZOFPEfjqUUhwOI5JMOyd1mi6ea/H69RWKUn2iK3qn5dJtuKx0fCbzhG7Lp+HbvH5thXfu9Yk7PudXmmSlZLVTZzBOOByFTOa6cLItgyjJ2FxucDgMUYZBXmiBlEC7VqIgSgv6k5j/4S/uMQtTmnWd2pNmkiDKmQUphmmQ5SWGgCDJufN4xP/4Pf31szAnjDNMU2+wx5OI1Y7P5kqDwSgiSrW7YJKVSKWIE70G2cLE83T8r1U51EVJxtFIi9YaNZcNW8cFL3d8LFtUDWWLrFDYpuDaVhvXsShKxeEowrEEh8MQz9VrXH+i3TMf7E05v9pgGqTsDwJuXOjyB2+cJ4gzDoYRcVYgJfQnEQ2/TetTBhB13+aNGyuU8sl7qJTi7Tt9pkG6aHpbpiAvdPykTu0xePlyb3FgPnuGXmw8PAowhYFjGSSpIkwyNpYbbC7V+b1vbFJ3HZQBf/POPsIwqHn6IH04Crmw1uJbN9doNdzqmRVEacF0nhLEBlLBxdUWD3YnGIanEyTiAqlgPIv1cK6QOKbBaBrx/v2BTgABdo7n/PM/uI5l6ihtIQzGs5RZmLK11uTyZluLr4Za9KRTd2Z4jiBO9WBOGArTEnzvx7uaCOa7SJVxYa3ONMi4uN5iuRL2gWJ9qb5I2zi30qAoJT9474Dbj8fMwpRW3eX8apP3Hwz5y5/uMAt0g2Wp4zELUzzHJE71UMZAD1msKgEqjHJ+evuI/jgmLySHw5D15Tp5LhlMY1a7PvMwr5zvbFY6Pv/ZH17n4f5sMQR848YKF9ZbWvAxjljtehSlIs1LxkGKMwiYhdrNuN1wMYDDYYDrCObhSVy7ieNY5KUkSgrWl+p0mw6TeaqHIytaMPLWrWNeutBFVOtas+YsRByGwVOk1p2jYOEAnBUlP719zD/+rUuLzy+1fTpN7ym3vHbNYR7rBkfNsxf1xmq3hoFWqmv3EL3+DKbJYogzDTLG8+QjCfHNmrNI4rAs8ZSb6hl+Prx9p89wolNWDgZzZqEeqpsGX0jIcYJSSoQwsCzBjQsdtg+nSAVH44hv3FytBFWaTHZpo0l/EmEYguORJjh2W+6iwWegCOKMm2tdvn5tmT/69gXeuzdY7FOnBacnNaeUiuNxxHiuEwJrrv3c/jkNUkYz/fmNytnw49CsOxyNosXHLzI5OUoyfnZngAJevbb8qXXFGb5asE2xOF8DX4i893HI8pL9fkgpJQ/2p/p86tn6bOeZLLU8zi3XebA3Yff4i8f4FhI8x6AoodVwyPISYei9xnftqjGvWOl69Fo1Oi2Xq+eeblUqpXhcCTgAdo8CVru1xX40nmkBaM2zcB1zsdcVpWT3aP6RqTxn+PnQqDm8eWP1qTPIGV4MFFLi2pU5iSV4sDddCCz2juYL4nSaPv/cnxCoey1PDyxXG1hC8Bdv7XCSiCcxdLqsLRCGdvafx5rw57kmtmXSEFrkcTQIkTxJlDCMJ3VmUQqS5OQ8YJHnWqzRrNs0TbFwxH+0P6UsJVIqyirpQxOTYBLYXNn0EcJYCNsvVqYHpjDYWNZmKWlesnM4J81KXEcQJcXH3t9ZIfnZnWPSrGS1It8JYeC7FqVU3NnRQorN5TprvRrzKv3sYJCz35+jlE4nWe02sKrk4INhxKUNve4lebH4nVFScH6twdevLyOEwLHEwp362evaPQ4Wfb1pkDEJ0l97gs0ZtOnHxnKdncM5f/6TbQ6HIeNZiqpq9zRXi6QtUxiYQmEZJp5tkmQFaa77dbZpkORy8exkhazat/qZzdKCMCkWCT9K6bWmqFKei0ybDtQ8m6IoObdcp+bb9MeRvh70c3HyM29e7JKXkksbbV6/vqLPEsLg7s6Yd+8NmMxTuk2XwSRGVL2uB7sTHh9UpgOrdaI4J0kKlNKCqTDRYg6ADx4OtZs7OmEwz/Xs4ngUc22rQ7vhcOVc51P3t2b9SR/bd3VadFEkSKlwbIFUigd7Uxq1z58g2aw7pFUSh2V9sT476PPX168tf2rf9wy/+mh+jrnLi4Rm/Un/COPJeWm/H7A/CPFcCyEMylJx40KXes3BscVCyPF5zlc1z+Zrl3t88GhElpf6+fZtpNQJG2Gs+4Gtuosp4OH+DNs0afo2tiV4eDBlPNfziyjJuL7V1TOCMEUqi8NBgAK+8dKKNl+axoRJTt13iJKCPC9xXZOVTo1u02UeFURRTrPuYFo2ZSnpj6MqWRl8z8KxTOIsx7H0ml9IkHlJkoNt29Q9k4NBSLNuUZYGjasO+4OA0SxmvVfj/u6EKNXGHXXP0enks4S7OwkoRbfh0qzb5LkWmEzmKWlaYJoGyx0f44kmENCzzxOX1L3jgNWuT5rpuYltCZK0XLw3OunEXvR4u02Pu7sTUNpFdx6lLLd1IrRlioWA59MghMHGUh1TGPje067Jjm3i2uaih/tl9YKadd0/DaMcz7GeM9v6dcZqr7ZInjJN4zmxYavmLMQ0liWq9FstjHh0MGO541P37EUiBOjXezxPGE0TxvOE/jgiTnUq+HKnhmUZyEqro42f9O98fDRfiKH6k5ggynBbviZnVveGaWijoygtORiGFKVkNEu5uz1epLIIYXA4Ctk5nqNQ5IXESAsMA5aqc9R4FpLnJQaKNCvJslLPMaRiuevx09tadJLlClJYaWtBxcqST83zybKS77+zT5AU9Boem9W5bGOpjpSKO9tDoqRgNE3IipLRNGGtV+elC20QJrKU7PdD8kKb3KW5pOk7rC/VuLc7RhiCi5ttZkHGeBZRlFrMe393yoX1JmvLNb2eBSmmKeg0HPrjmCDJK4NP/Vx1mjpJ5uTZvLDe1K7q6J6xNtvTIvd7uxPiLOdrl5fofITr9+EwZPtQE6rKUvGT28dfqogjL0r2B+HCwMo9I3AusFeJ6c4tN77yRgG/CPzuG+e49XjMf3j7TMRxhhcbSikeHz7pt28fzVnp1hZJV58HSVbws7t9LeIFfnTrkM3VOoNJjGubtBsuSimdvGkaBFHO5kqNLNe8FZ0spZPjOnWHUBSkWaF5RMLANLWQue7Z1FyLf/jN80znGStLde5ua24A6Lqz07QXs4UoLTCEQVHoOXVWKg4GAbYt6DS0EWTDsyikwnN0utwPP9AmeJc2m7x9u8+tx0MEBo4jaDc8CNCpEnWXKxtt8lybRfuuyX/6h9fIKlOWB3sTnSoFuI5ODvng4RDLEoynCXGmhRRKwXv3h3z7lXX9WuYlvmOztdbQvQXHYr3nM4+0uMIydS83THJMIfjJraOn90ODRU2U5yXt2hMegOsKilwukjhaNYcbF7qLRPNpkDIPJ4uvr/s2+/2ANC9Zavv4rsX+IEBKxcayrjmORlpg02k4bK01F7XQwSBkcJK0bBqL1wLAtS28ylhIvz6CuDIRO20w/mWgVXM4Gj6Z9T57Dj5da+q+9Vnf5EVB3bfZOZ4v1oUXDRtLz5sA9Govfv0ZJ8mnf9FXDHH29BwsjIpf0pV8cdzdHjOqemNxWvLe/SHffePc5/45L96T9IKh4dvcvNhjMk+oeR/tsv+TW8fcfjwGdBPtT37zIp2Gw85xQLfl0Wl4vHSxq4nXSjto25Ymk9iWwHdtlNLDCR0z3mQaZHzzpVUeH83ZPQowDO3CmWQFg0nEZJ7gOBbbBzMsS+jhTjmj1/Jo1m3u7wUEcU4uIU5DDkchQayTMECRZSU/u6vJXMNZQlLFqZVSk9DSXDdEpDAQGFw/3+VgFLHU9nnjxir9UcRwGjOYxhwOI5Y6HqZl4jkWF9bbbK3WmVSD6e3DOTmShu/Qabia1FkNWvuTmHbdYanjkxW68EqzkjDOmc5T2k2X43GEYWhVp+cIBpOIvFS06g6+q4ls55abi2hzU2hByPbhjME0xq4ECmmu2Fpt4Lk2t7dHSAXLbZ9mzeG1q0v8xivr3NoeYe3P6DRcJkGKEC6DaUJWykV8u1Q6ilgIAwMDz7H449+4wL2dCTXP4tpWh92jE2WZAegB3UlMsXY0fxJTu7bkEyUFV893KiKAol13CKqm6eeJNP0s9+tpGIbxkS6tZ/ho7A/CRbOlP4n52uUl6pVLvW3p91Qp3TQ0TfFUkZqkBQrFGzeW2Tma02l6vH5tVROYezXyoqRVd7m00WYapGytt+hPQ8bTBN9zaDdspkHGuZUGR+MYWanFlQTbMclKvREWpWQ0jRnOtPtOGBe0Gg6WaRAmJcIwKOIcMEAZFEXBLMr463f28R2rarArPNshyQrmx5keJm+PKQtFq+HiBCmX1lv6tTAMhDAxLYFlGTR9G79ypQ/iDMc2ubTR4nAUsdJp8Ptvtrm/P8N3bdaXaszDnOE0oVlzWF9qsNar6UhHqQfZB0O9dm0s1fUwJ8zwHIujUcTRSAvChBBYwuDCuj5g+Y7FStfHNAWXNlufaVArqmf65D18uD/jcKibsLMwY6njkWQFnmMtmuInjk5nh5FfDURpwTyIyfKSPNPutUttn5Wuz9Zqh/E05mAY8GBvwmCSLBrnhmFQKi2GS1LtcNBpOgv32zQDyzRQSK6d7zAJMqIkp9dSLHU8Kk83wihnmBccjCKORjGea+K7FkUpKfKSu9szilLycH/K/iBgpVNj+1CTxIryJEEn43s/3qZZc6h5NrZjcn65Qa/tk2Ql0yAhK3QihgHVMFCLGUbzRA8daw7v3huyuVxnY6XOPMw5v9bgZ3cG5KUmdU3mGeeWG3z4aIRSkiDWrhCOYzINUzaWG4DCEoJ6w6ZZczm3ohMwSqk4HAbcfjxhbam2iCfttTyW2h7tpkualyiliNOcw1FEo2bz8uUeR1Wq0Fo1TNG1Qcpqt0ajcgk8GOiUKyUltmOx1q1RSkUYFzzcnzKeJRRSUa8J2jWLZt1jqe0jpcIUOm1IO/5WDSupmAZP9mMd726QpAXdlocwDD1IMnTiiVJqscd/FL9dN++efOK/+b9+h3/xr95HScV/9R99jTgtcGyTopQIw8A0tZDj5cs9+uOYQkrEqe//OBL95c22JviUkpWO/5miWs/w2TCep9X/EoIwBaUoS30PCJ4ern8eSAlJltMfSoo814QvUYDSDnLexS43L/UYzxI8x2S3HxJE+jDpeyZv3Fim23TJCj1EbPkOR0MdY3x5U5O3+pMYyxSsdHwGU73e6Yab4vHhnP44puk7zKKMC2vNp5JboiTn9vZ40ZAuS/WJzhwnaXBBlNGqu7Qb7sd+7Vcd/+6HOwt30sNRxD//vSsLYdcZvvoQwuDlS3oPEcJg/Ut05Dy9BBvopmfDdzhKQtZ6TYQpmMxjDkbxovH/RVEWklJWztyWiSUMljsuRQk132Gl4/HGjRWkVFzaaFd78elrNSqihlpc8Mnlz6OMuzuTxdd2mu4z3/sZr1EqsrzEtc2nhtJ5ISlLeSYo/AicPoOc4cWBUvq+nkcpzZrNvZ0Ix9F9laOK+Jfl+jxxyowfxzJ4sDchy0uORiE3LvZwbS3KeHKmVBgKum0Xx7LwHJMgzhjPcmQpCSKo+w5ZLnWss4G2ilbazf/ieoMoLmk3HR4ezhcijiQv6U+1ADTNJA3PxXP1NbcaDv1JDEqhDOhPEn3OBu4nE1o1vSYEsTZ1mc4TmnWbjeXm4h6ezBN+Vrnu6r8C3nxp9SPv77/52R6P9mcUUvKjD7NFj+V4HLHfD1hbqqOUYm8QsLXSxLEElmkynCYkqU43KcuS1U6lNEG7HW6uaFFKnnscVgkhtiUWfbsTnO7ffBK+6JMpK1GLY4kXNjr8DE/jeByzczyv0l9ypNKp2kophGBBYlRKkRWKdsNipa1drYMoJc3lIl2CinQBVeqOaWhSr2k8dY7Q/27pmQGl7p1NYiIvr1Jkfe5tT5iFGVlRkuba1d61DGZhxv4gxK9SfN64vkJ/EjGaxvzFW/sEcUZRaEf4lbaHU7lTvvOgjyx0j+vHt465uN7Aq1KFG57N9a0Ojm3y4aMhb906RinFPMxoNRw2VxoMp8miZjCFOCWmyqrEbuepZxE0IfGlC10mQcrlcy2KQvcBpNREwEmQMpjEWmxiGJ/a5z6NSxutRU/l5z0Tf9Z14wy/2jh9vzZ8+xMTJl8krFZEszDOF8me8OQMsNT2CeOcXstlfalWpXfXGU5jhBBcPd/51N9x+pzw09vH3Ho0JkpzRtOEy+faSKnotjyklEg0Canu2fQnMW5dP8f39sZEScl4mpBLiSlgvx/R8BxqrsWDvSmeaxFEGf/27x7zz757hV7LpVV3SKqUAVGJOZWEwSQhykpkKYmygpsXe/iupU2cSkmSlTR8G1sYPD7KMYWBrM5SSupap1SSohSUSpKmkjgrePv2MZvLDTLHolF3WG57KAl136IsJXe3p5iWsUgX8ypDq6vnO6R5SZLkrPda7PcDmnUL19KpwicwKiVRmuWVoY3k3XvHHA5jGq6JX3OxTEFRGcLc35vhVXVqGOu/897OGFMAyuBwGGlRsSk+c+1zuj+khY0s+kOiMr063cP9MiClTq/StSeL9+IM8I2XVvEck3mYcWmz/Zxb6PWtzqKO2Vyp8+794aK3d/KcO7bJK5d7DCoxkCkMPnw4QlYzOtMy6DTdxSz55sUlPNtiOI24cr7NSiW0XG57ZHmJVFrAGqc54LPRqzOa6x5mo27z9Rsr3NuZcjyJMQUMxiG2Jfjj3+gwCzM81+JwGDGeJUilUIbEdWw2l+q0mh62KdiNc9JcP6ullJRKMZjEvHptCdMQ/PD9I52cXNVpB4OA0SyllBLHMnWCtzCouRaHo3CRRv74cI5h6CSfspSkecFgHKKUUQmmIq5stmnUHJK8JExyJrOELC+xhUGQZjR9i7rn0PRtRPW7DUMtnLmH04QkK9hYapCXinPLdQxDcW93Ss2z9Yykrp29GzWbTsPVRqB5Sa+lxRnrSzVu70zIspLzqw2dDJSX7BwGHI1i/vnvX1s4Y7dOzbFO45NIxlkhCaNMC/c+4/zz9uPxIu1nOk/5+vXlM+O7Co8rl/7zax+diPvrht95fZP/9l+9x4ePRuwPgo9NCj7DGb6qOOl1O7Z4qt/+9PT380FKxXCaUFT8n6yQ3Ho0Woh353FeiTW0ucKJsaGUMAtz3rp7TJKUKBR/8dNdRtNEi5gLSZIU1HwLDC34DJMCpimyVOz3A3xHkBelNk2xDK5t9Ra13WSeMA1SPdtQEIY5SVFqTlEWITs1PNciTgpqrs3t7QmmqcWidx4P+LsPDhd/0/ffPeT/8k9fIU5yWnWX5ZYPhqH7m1R1iUElzFC8fn2VeztjSinZXKtzcBwyCzJM02AepXoejy5rHNtktVfTZ5q6TqM7HkWkWamFhY7JeK73xbIsGU6TRT05mVsUhWQeZdQ9i+tbXeZhqrkQqw2+fn2FvJSUFT/x7vaEOCswxZMexUn/o9vyuLjWZKc/Z2ulSRDnCwHEYBJjCrF4PUbTGMUTEW2cFosZsOZR1cHQyXZLbZ/Xrq9goPmFK5U519FIG0s2fG1OfTyK8Vzxkal0WabNQz4v/7Db8ri+1WEWZbTqznPJIte3OovkkvWl2q/N3r+4Zz5HrfRVwizK+POf7FBW7pRpVn4hwvoZvny8iEdd03j24xdvHTjZe4pS88G/6IZ+NgX/BaBVdz7RMWQ0e6KEUgr2BiH/7b98n+EswbYE/8c/vsFr11Y4v/o00Wm549NtedR2xkxmCR88GrE/iHjv/oDvvn6OP/2dy3z/3QN8x2SvHxIkBbIsGUwixvMMz9GuXio3UBKiNOeH7x9S92yCJEMqhWMKUCYChe9YTMKUWZhVRHPJ+lINVNV4FPrQ7jkmYVJqladt0vAtPN/md984h+voZmOzrknhUaqLvpprYwpBr+PhOSZH45hmzSZKChq+xTzKeHQ4p9vyWOn4+jUT2tHn3m6BZRq8cWOFWZiz1q2x0vXZ74dM59qBZ68/59HBHN/VzZVu08WrOVzaaPGPvnORe7sTSqk4v9ogy0r+1V/d43gckWcllqcLRQyD29tasTsPM44nMeNZwuZyg2+9sk6z5vD739zif/jeXW49HuPYJl+/vgJAED1Rq4Zx/tQ9EcY5mysNlto+O0dz3r03pF5zmA4CNpbrC+L31lqDiyck82qI9OhwRpTkbCzVGU0TNlfqeI7Fv/nBNllR0m44/Ml3LuI4n/1R/7T79QxfHE+plhWVk9MT9bVSirs7EybzFCEMrp3v0Gm63NuZcHt7zGSuid+dKrLvrTvHmALWenUurrdZ6fpcXG9xb3fC/d0JDd/j5qUlDochrbrLP/nuZUbTlL1ByHCiyby+aVKWCkMZqCqRI1P6+hDVgSrWDkVFXmJbJsIUGEo3uw2hnbPiNFk8/0IIhmlM3bNoN1xKqZ8BqSAvS6SUnFvWYjTPNnk0T0EqTRhfaTANdJIHyiBOC3aP54RxThjnpHnBPMrJpeTxwZwr51q06g4XN1q0Gg7n15pIqd134ir1wwB+ervP/iDQrl8XO+wch4uhkVk5l9cqIrghDFY6NVa6Ho8PtDtVt+Vy7XznUw8OpVTcfjzizuOxTjEwDCzTwDbFU8PmL1PBfoavBkyhGM31fW6gnRjqvkW36TENUv78pzvMAu30lmSSUirysqQ1cNg9Driw1uL8agPHMuk2fXzHIssVRVlyNM/4m3Ifx7botT3Wl7ToYHO5wZ3tMUGYEyQZdaGHBb4nGM8SothkY7nOuw8GHAxCzq82CarozBPo4YoeoEzDhFJqQonrmKy2fP7Z717lL3+6y+ODGd2mx9E4Rikd1f36jTV2jwLubI9Is1InYAmD/jjicBTS3ddpQ29cXyFKc0xTD1ENwyDOCyZBSpoVlKXE97RjXbvm0KzZhLFD2pQstb1F1Pf9vWlFpjJxbJ0wsdarUfP0s9uquxSyxK/SBEqpU3qKQuE45lOE8SjJ+dfff8zxOEIY8JuvbvDbr2/y9u0+kyADtIvH1npTuxY7Fg/3p0xmGYbQg0vXtVlbqrG5XOdwGNKoOTRqDmUpORyFZHlJWhT8L3/zkGbN4Y+/c5GaZ7HaraGU4t7uhPEsJU714LXm2Ti2SVaU1FyLb728xqfh/EqL/+a//i3SvOTDh0OOJzHTMKXu2liW4MK6jt/VdUSTlY7P7e0xaVbSa3tPOW+chhAGG8tfzqD0DE+j3XA4HIbMwgxbKCwLZKIJml+Uo33SaIxiSWxIplGObxsgagwmCd/78Q7TIOePf+MCzfUWUioUOjkDFJvLdXaPdbOuVIp2w1mIm4Nqv/Jc66lnaH2pzsP9KXe3J2BAlpU4tollCXotj27Le4p4GMbFYsgLugb6NPRa3gvvYF0UciHgALQjcSapeS9eU+7XGY5t/r3EAduWyYX1JjtHc65vdTkeR4RxTpaXvHtvyCRItdgxKp5y7f1CEBYt32Iw1e5Lti3IS5sozlEGXPJb5CX0RzFHoxgMuHb+aSeay5stHu7PUEpxcb21eMafrWuFYbDS9elPYhxLfKbXLkkLPnw0Ii90DfLK5R62ZTKeJdzbnXyuevwMZ/iqYxLG/PjWkSbqmAbrSzXirDIVMWB7GKKkFuOeJnhjKO7vzSilouZZXFxrkecS0yzoNX2GsxSUgWULWjUHx9LptMNJxDzSbvi2ZSBETlYoSiVo1l3tdqYUDd+iXnMxRInjWCj5RORQlhJLWFiWwDYNxvOEvYEWT3SbLqYpEKZuUJdFSVkaSEAIE8cxybKSmmfx//43H3Iw0EYrf/StLf6zf3AD0MNl37UIkhxhGNjmx5uFPNibcGdbrwtZlpOXOsnAFAaqlFzb0mvXvCIdnZDCFFosp1DUfZ9OyyWIcrpNlzdeWl2c1+dhxtt3Bwsy6hs3Vj7T+3phrUmcFos6+1lB22dBWUpuPR4TxjmmaXDzYu+pntEZXjz87Tv7vHNvULkka3OUJC20sBItxBBoLVVRQlGWFEWMAAxhYApBWhRQkSAViqLQ4g9TGBQKkqwkzUs816Is9dnSsU2WOnWyvMQyBXEqUUqLOxq+h2UapIXEtgWWpYf9Btph23FN0rzAdy1qnsX/63/7gLBK0jANg0JKDocReVEyaHo0ag62Jdg7DilLbTLlOnr9cR2dAHL9Qncx1zhx7DcMg1bDZW3Jp133KEpJ3bNxHZPzq5qIdX93zL//0TbTeUav7fEnv3npubqi3fhowffO0XzhlAn6XPN5RBxnZ+Iz/H3g4+7XFx1Lbf85UcrmSlOfHw5mrHY9LEvw//13d9g9nus919CGEZN5ynde3fjYn336nKCokq/DjDQrcWyBZQldDwkYzlLCKOdBnNOqOaz1aoxmMbtH2rBOJxmVlEqf1SfzhDDNaTVciqofejSK9GxCCGqeTh19dDAnKbRjf6EEszgnLyS2MFCGdhYO05wkKUnSkkbd0bWYo0Uhdc8iTJ70BQz0gN+oWGZXN1o06g6TMGMyj2jWbC6sNXm4P6XuO9iWxTRIORqHpEWJrQS9tsd4mi7W/++8usGHD8d4zok5ljbCMU3BzUtPznWXN1v8h7f3uPV4RLPuEkQpf/7WHqNZijDgWy+vsdarE6eFToY/Vc/EaUHdt2k3XIpS4Vgm+wOd7HzlnCalfxZ8Wn/o7+P8HcY5dc+mXpmHnc1mnsYrl5c+9nP9SczxSJuS2Zbg4nqL7cMZhmFw5VSiSc2zObdqcfvxiMcHM249HtOq29Rcm0vnW7x7Z8jxOKLbdNlYrnHQj3Adi/EsZb1XxzQFv/G1df76Z/scDALCuORv3znk0kbE6zdW+Mu3dkmzkpVWjf4koShK5mFKlqtqXgH3dqdc3+rQbriYVmWeVSgMJSozyBqgGE5jgjAjzgqkBMs0qVfmcs2ay3CaaDFrkiOrmzUtoUwLjkdxdSYS1D2LaZgzD1N6TY/zqw1cx2Q41WKWUkqEaZLlJaWSjOYJtcwmW9FiilmYMQ1TwrggK0oeHc3haM5SyyPJS1baPq9eWyJKW2wfzDCEoOFbZLlkGkSUpeI7X1un5jvc3xmTZPrndpraGFQpxfEo4p27A3ptl9Es4dxKg1bd5ebFLpc2O4v37/b2ZCFYzbKSv/3Z7qJX/OrVJd64scpar8b1rQ53dyc4tvmxs4tZlPHvfvCIONUzjn/0mxc/dX04SW47QZqXlZjszEQSWCSgXNpofcpX/nrgxDD2rdvH/NmPdvgv//TlX/YlneEMnxmTecq93QlSKjpNl0sbTR4dzFFKGyt9UbMey9Tz4If7UwzDYHO5/hSRdxbotDapFGlasrFU4+H+nKyQrHU19y6vhBZRmjGepZRS99uKitvnexZKaTeY8SwlyXRtuNprEmeaT1P3Lc6tNDi/2uTRwYzHBzNmYaaFkVLi2CaOZWpBs1TEWc5gElOUijgr6TQdilInDSdJoXlFVV80TQt+fOuYyTzDFAGdpsvlc22CKKdRs6l5Nm/f6SOlollzaDcdDGEgDIFAMAlS4kzvNQ3foeE7TIMUxzL47VfXCeKcKM6xLcFvv7bJo7o2x1xp+/zgvQO2KxPm1a428Dwe6wSMzeU6//PfPCCIchzH5GuXexwMIpKsxLYErZqN6+oaNM1LwihnFuUIQ9fXpzGYxvz337tDmBTUPYtvvbx+ykQWxvMnJqFhUjxlgBHEOc2as/h8XjjMog5xog1717q15+6vkz6NlJKDYcTjwxmWEFzdenoudDSK+POf7FAUkk7T5R/95qXPJTzoVjPjj4JpCs6t/HqJ8aKk4N/+3SOCKMd1TP74Ny48J6T+qmM6TxcCDoDh7MVLf7i1c/zcv+1OE242Xuz7sdP68owIf1Fo+DZH4yf3ULf54vGVr2y2+eH7hxyPtcHwSxeeT3r5LDgTcfwC0B/HjOcJpZSYhkGSlfTHEZYleOPGKpvLdfrjJ3GlO4dzDkcRRSlJM4M/+9E2r1376KGhKfRQ7/HBlPfuD5mHKZZp8LO7ff7gG+c5t9JgMImo+w6Hw4DBJCFMSrK8xLQqly6pCyFhCEqlGIcpDddkFpTgGDoCdLlFnBcspw7zMMcUoFTGwSCsInk1Cdww9JBXGALXFfiOxfnVJufWGtx+NKGUkvOrTXzH5O7OhGmQMprFDKcJtmVw81KXeZix2qvRqru4jkApHbE6nMU83JthoMgKSRTlTIKUJCkopOK9ewPWenWORhFXz7dZ6fgEcUo6KjkcRoymCctdr7o+g3Y1rH77zjFv3lzDMgXf+9E2f/nWDrMo0wTaQuI5JrZtsdarMQ9THh1k1bBd0G26FKUmZ50URH/4rS1uXuqwN4ho+vrfTg9v2w1n4cQ/C1P6ExOpFGu9Go8OZjpix4CvXe7xna+tY5omUsqFY+9wGrPXDxjPU65stniwP1s0N/b7IUGkXdQApkHGvb3pJzbhzvCLQ7vhMpmngB4Gtp5pXM3CbPF5KRW7x3NsSzCaJdQ8i/Ec7u1OiBJN7lpq12jWbQbTmHbDxbFNHuxNmYdahJXlJTXP5rVry/TaHm/fHmJbBr/7xgajWcr+ccDeQBONpSwpSlDKwBSKUmpxlhRQqwa3RSkpSrkgIc/ClOEsJUnl4rAly4Jm3cV3Leo1h1Iq+pOIIM5xTIgTY0E4t4VJfxzhWoKy0ITrg0FIu+nSqDmMpgmzQUqQ6OjHWZjy1u1jVrs1HNtkkiakaY2N1Sb9cbSIhOy1fbbWm6hqbTsYhMyiTDf8jJLtozmX1lscjUOkgkmQcH61yfnVJt94aRXQB6E//4l2zj5pMIZxvvjvKMnZ7+v17/xacxHtO5knBFFOzbcJKleD86sNLm+2ebg/XRyY240vVniU1X2RZiUrXf85tfoZfnn4u/eOgJMhHEzDjKvn2vzFW7scTyIGo4RWw6YodaOi13I4HiUowLVN3n84wDCg09AiBt+z6TRdxnMduZ1kEiE0uem/+JObCKHd3yZBwu3HY4IwZThPCcKcNJO06y5G1QA4GkV6v8xLlJLY5hNXio3lOkWpmIUZyy0PIXQjpJCSr13pUZSSaZARRDm+Z3FxvUGn4RKnJbcejZjMU65tdSjLkrfvDpiFKcejmFbDJU4K6p6N87KJ65hM5hk1z+LNG8tsrjaQpSaSKAVpmhOlGXXPYTxPKaRuBNQ8i73+nH/xP72PaRp886UVGr5Ns+7SquvX6dsvr7Hc8Xnv/oD9gf4ddc/SjnSuycODKa5tkZclphCcX23wcH/K0ThcRIX+5U93CZKMJC9Yarl6iLrV4btf3+Rf/uV93n84ZHyyfqNd9bbW67x2ZRnQ6/uHj0b6b67Z/Offeon3H4x4dKBdkg5GAf/dv7/NlXNtvvXyKlJqtznQ7n2lVFzasLm82ebaVpte6/M5Mh6PIrJcr9FHw4hey2O5o8Wh66dc6xzbpNfyiBNNWPssRNjBJGY008Orcytnkd0/D4bTmAe7U7pND88WTMOMLC01SfLnIGibpiZ9KSqHBQVRqkhHIUoqVrtdhlPtAHxxvcXu8ZzDoa4ZHUssnORMbUdIlBaLurbzMQSTJC0W5xf9+3Kcai+0TEHjGcJhs24jhMFwGhMlBZ7TfvZHfiTyQrJ7PKcoJetL9cV1vSiwLKHJ7NVr1a3WtTOc4XRNd/V8m2+/sk5elPzLv7zPg32d2pXmJRgKqZRee5XS++YX+H1BnGGgMIV2a00LyXgeU3NtPNtkvx8wmSecW2miFLxzb/iciOOEnHU6NQq0CcBJ9DjoPXGl63Npo/WZBRdHo2jhMp5mJf1xzOZKg9vbYw4GIVZFgHgR14EznOFZ/Oj9Y0opFyEYo3nGWq+GARwOYmQJpZQUp+Z4J2KOLC8rF37FcBZX5GkTQyjtqFdK7CqhNckKbNtESqWdqU9EGa5RObEoHMvAtQVSKmzTqlyOThwADWxLoJRECJOyLImzHM82kUCv6nMNp4lOzFUK1zExlCLOVZXcZ3NpvYVS2p3v0cGMJC0RBvzZjx7jeTbjacLlc60F4cmyxCIV4wTjeUJ/HOM6JoNZwnAaU5QSxxLUaw6W0O6F3er8pJTec08LIK6fbxPEWszSabr8k9+5XL22gsNhwF+8tVd9XUencSqFa5uVYYoe3iil2OsHRElBt+mx0n1Ss3uuxevXV55bIz8PhrNkQSosS8X+IOD61hdr+J9AKd1nCeKcTsNl9UtMlDrDJ2MapDzYm+LaJmlRsrcfPEnUQD9ppz5cQCoYzVJqvk2zZlEr9LONYSBlSWmpqn+nKu8VRV5oI6Zzq3XadZtpkDOexeSFdvcslMQ2TPJc0fAN1no1kqxkMIuZB5lO/LYE68sNWjWHjaUG51f1PhzGOXGmiZJa9GWQ5tpwSCpFkhbUfA/fNRnPMmRFhN45nNFt+vzeN89x49TgamOpxvffOWA8S3BdwWtXl5hHuR5yeRYX15sUpeJ7P97mB+8ccDAMcV1NpH7nbp+1Xo3d44B5lGEYOt3g/GrzuZTbTtPlYBguCqeTPtxknnI8jnBtLRbRNVmg3TmXG58qnDrry53hVwFhnLM/CBY9spOz/Edh8cxU5ksnz4yU2pW/5j39zJzeK29c6PFbr21wPI759z/c5ngcU0rYPZ7TbWnR93iWakO5EtpNl2/cWH3K2fXw1Dlhvx9imsbC/V9W+/324Yy//Gmfg0FEp+7gOCaWpROJ3r0X4NgCpxAkmTaeKxWEFBSyZL8fcHG9Sd21SfKCstRpWI8OZ5pUYwtsW5BUTReF4sJak71qHXIdC9cWi7QlwwDLUHSaPkVRcmG1xtEowrZNDEM78Gqhm0GzZvHG9VUGk5g7OxOavs3F9SbNmkt/GnM0jtjvh/ieSZTmXFpvYhqCONeCwF7bZanl0m563NudEKY5BwPtop/kBb//5jkurrc5EeVmWckP3jvgBx8c0PJtGr7N23cHHA5ClNLzqnfu9vmPf7+NMLT75dFQJ1L2Wh4rnRqjacJoljCYxiy1PK6eb/Pypd5nFnAANGu6P3TiGvxxfacvE62Gi9EPfu7ZzK8jdqvUO4DDYcSbL62w2l37yHr3ZDZWSkVelMwjcG2LyTTjjRurizn3g93ZqcStguNJRJZJ0rzkH/3GRf6nv77LzlHEw/0p8yjlpQs9/snvXOLBviaIjmcJd3enJGkJwsBQ8GB/ygcPhjimwddvrLLcruHYgiRFH7rQPcY817PVoroZbEubOEZxQZaX3Ho8RgDLbZ/EsxlMQi38yiXKNJgEqZ5BtjxkqfujjmXq1OXKadyzBeOZTuLIiqqJI8ASNo4tuLrV5tWrSwynMe26w+EgwDK1IAwDZoGucYRpEEQFlzZbeLbB3iDGsQxmUUGv5dJpehwMQm5cdOm1PBQGS22PRs1l92iOEDoBPMkKtg8ywrQgjAvOrdRZ6fqsdp+cC9Z6NfaOg4qXUvCzOxGthodtCd57MOTVK8tYluDmpR6dpovrWB8rjv3wwZD+OCbNJYEtuPV4xLdeXqeUir3jOUlWslKZlJ7AMAzaDYdpoAVvdd/+UpPBn6rfnvndLwJOZkynU69/3fEPv32Bt24f870fbfNf/MnNT0yGOcMZvkrY6weLGmgyT1nr1fjmTc1N+XmMi2xL8PKlHltrDYShTSZvPRxxf3+K71q0my55qSgK3ZNTSvMR4rSg1XDpTyIO+yEKqLkG+SlytpRw9XxH9zINA8s0q0GATgZe6flEaU5elLSbHt2mR5qXHI8ipFJYpoHnCpo1H88R7PYDokRimQLbVDi2hWVKwGAcpDQqfp1pSIxqGz1JKZlV+0QpFff3pvyT715Z9OHeuzfgg4dD0qxkvVcjzQvevnOMkoqyWHqqH2OaBt99/RxFUWCaJqZtst6rL35WmOT0Wh5ppgUQ+/2AoDKLEQb8wTe2uHmxixCCaZDywUPNl2j4NoNx9NQM5c7OlEbNpiglDd8mzgqWmpqHMA3Tp97Hv3v/UCedoEUaD/cmNBuuFk+0tInO//a3D5AKvv3KGudXm2QVz6HbdLmzPWb7cE674fDmjVVeu7r8mfqUB8OIIMrwbBPTFNx5POaVS0/4he8/GOg6BX3fPtyd8tKln69f+euMuzvjhQl4mpW892DId19/sVIslto+cVpwONSJeL/75ot1/QD12vPnUPErYCA3HM1+2ZfwuaF55k9gWi8ej2ISpLxyeYmbl7oIQzCPcla+wDL54v3lLximQcrD/Sl5IXl0MKXbdLn1WEfFdlsex+OIP/3tK9Q8m1mYcWmjxU/vHJFkpx0HPmKi8wykUgxmMWUhMYRgGqb8xVu7TOYp0yBnMk8ppSaGe452nPc9kyQttHtdoUmdwjAolcSonOnbdU1A7rVd9voFBhZpXmAJQVZo4vaTGa8uoWQ1UKb6fdMwg+OAo3FIEGeESc40SNnvB6RZyTzKqeWSVsMlTQs2V+qL4swy9fA5yyVS6sG179ksexbzMGM0icgl1d+h2FprUZSSLJfUfB1jGsRZFUmvm7S9lkuv7VHKEsvSUcmTQH/N7cdj/XoFKa26Q8O32Vyu06o59Foe03mCXTVui1LSbnjUPFsPeNHE7ru7E1BQ92xMU3BxvbloZqRV7PP1rQ7H44g40y59+/2QspTs9YNFAZQXJWblPngi4AiijPu7U7K8ZDiJ2B8E5HnBSkcPuA2DiuCi3dtty8Sx9EA+SnJs21yQzT8NSinCOMeyxHNx9Wf4Yljr1XAsoZ2Mmtqh/jROO1aXpSTNSh33WxG31ro1LQSQOup6tz/nt9Y36NRdrm91eHgw43gUsXdcCcEKiTB0Y/H9h0OUMsjyku2DGe2myzTMEAbYQuC7+n5dxHoXkijTTimmKZjHOUVRUkrd7OxPIoQhcBxTN0tPrhsAiee6uLZgGmjCmCUgiAsMQ/+O2X6K55goZVDIkrwADB1Bno0L4iSjLLXyuyj136FdymUV8Zji2BaTIOfR4T6+a2MITSD5T/7gKte3OgzGMctdn/WlGofDENHUi9U8yrm02eLiZosHuxPaTZfVTo1bj0aY5hLLbZ/d4zmjWUKalQSV6v6EuCyl4tbj8eJZjdKC165qIvfJ13QaOnrcd02+dmWJmmfjuRazIF04Vn0RbB/OFkTQSZDy2tXlxfpzhl8ubCEWgyDtoqn4X//2IQ8PZghDDySEaVTJUzrdCkOvs45l4tkWnmNhWSaFVLxyZQkhDB7sTRnNUoqyJEy0M2yUltQ9A8MwWO/VORzqNIlW08WzdRqGQj+raSYJY73vurbgwnqbJMswhcnXry6x3NHNegPoT2N+741z7PUDfNfi5qUlPcSr4kfDuMA0IUhyBpME0zQYTpPqQKOIkpJ23SYv9XDAsUzCJCfJ9PDGd01qrsU8TumPBUJosncpJRKDMC4YzVK21prYpiDLC3b7CR88GNGoOQhDf/0fffsCean/Ns8xyQvJ/d0JP7s7QClFr6kd/nzXpFV3GU0THh7M6DRdmjXdlPIcAVKipCJMC+3YN9EJPhfWGqz26rx8qcf+IOTB/mzhYHoyTGnXXTr1J89xlktsSxCjm2VF+WQ/TrKCR/sz1no1tg8FQZzzB984v/heYRjIU4eTL+IwZQqDUurXfUH2hUWaglKKMCk46AfsDwItKJ4mvH7deo5sfxqzMOPB3hTQjRnD4LlkuDN8NsyrGs62TERluygMTYB6Uj9/MRTl8/8m0YFaeVEynmcsd2rYpmCvH3A4jDgaRkznWiRa8oR8bZqC6xe6ZFmB71mcW/no91ucREFW37fW0wPAKM45t9J47j72HIv1pRqDiR5QJlnJ8Th6amD4Ubi/N1k0ZqdBxuvXl184F7Y//NYFbj8egVJf2HnhDL96eLamu3lR8GB/qp2pCsiKEim1m7XvC7KiJE5zDAyS/POvF0lWYhoGdhXTbpmCstAkiVmQUxQQpyXLHR/XtrCfza89hWeb/jXP5mtXlhhMYoRh0Gvp/bGUijjViX7PEiufxbMCQSEM0rxkrx8QV4OLspS8fv3Fb6Ke4QyWaSIwQGihhG+bWhBhwJ1tuXCcOw0p9ZZbKoWUur/16GDGareuh4txScOzyEudRBdEBRLwCk38tiuXatsUzMJE9wYKQZIVWKauy+M0145rpsksymg2HKRUlFKx1PIQhiKLJZYlkFIuki4UCt+2EYaBY+vzvjJKDMNgue2xtVbnaBSzueITVokgAINJynv3BoAmpTQ9m1pF1snygkcHU45HEVfOtbm/p0lalikYjCKUOlmLDF6/ukyQ5FpU0fEJolwLrtcavHJliTDOqXk233hpldvbY6SUXL/QXfTZyrLkv/+zu4vkrFuPRlw73wH0wHQWNdms3of9Qch+XzvSTuYpji2eO9t/kaF7kmpzmmcHRSe1/M+Do1G0IN9N5im2JV440tKLCtvS9bKsTJ0sU+A4giD65O8rS4UQEgOJkmgCcc1iFmYYhoHnWro/pxSuZRJnJQa6Z57mJXkhGM9TskIiS6WT9uquJj6jz/d7xwHXzrWRpSTPSpxuDSUV3YbDb79+juW2x1LbZx5l3N0eEcYFk3mKJQwsR5AXBr5nkReaeJGkBZZp0qrbi2e8KBXTKOX9B0POr+jeeFFIdo8DkrxAolAS/vwn28yikiDKsEyDWVzQ8G2iqODx0Zx5nNEq9HpkWWJhCvVwX/daLm+2yfJy8f9xWgKKlW6Nly/1FuYsrbruBdzZHhOnOZapE8qHU937q3kW8zDn9evLT/Vnn8XpGm4apLx61pc7wwuGspTcfjymKHVfO04Lvnblow3A4rTg7s74Sb9T6j7miaHYLMx4/caKTrjItXHceJ5yMDi9V3YXZ4GTbc2oeljTIAUFP3jnkE5Tp5QoqZ5K5igKSZIWuI6JMAy21lusLUniJOfmpS7NusuPPjhiFuZIqZjFGV3Lx/csDCGwbAPTNGjUbKRSlIXAKHU9pZRBEOc8Ophj2wKFSVgWxGnOcEJFoFIkeYljCoQJhiHYXGkwCRKkUriWQJgGh6OIspDVOlQgMYiSgijLUUiKQuK6Jk3PARRxLlEY3NoeI0tZnYcU17Y6bB/N2Tma6ZoKRZwUOLZOP1/q+gzGEZvLLXaP5oznOWEqCeOCy5ttDkcRcVrg2iY/vd1ntVejWZFT/uzH27xzb8A8yBlNUzzX1olmUiEBVaLTGceafD7en3LtfBdh6JT1ly953Nsdk+Za6HKStHTSVyzLku2jAN81WV/6ePdSz7V45XKPSZDiO9YvpC5p+DYvX176uWczv44QhrFIozAMXeuerncXc2RTLGpXz7FYankoBas9fyHUEUIna+dlWaWKCeZhyk8+jGg3PVxLEyEfHQbMQ01smwYZG8t11np1LFMwnMa8/3BEnhfkpYTSwKiSzQ6GIY4t+NrVZbKspFV3yAuJqHqvcVpQlnq2KiVQidZNU1CUWpR65/GIopB4ngkG1GsOWVYSVbPaJCsopeTrq8tM5joRpCgVk3mMKQSua5Hnuu9yYrZjas8cTGFwdauN79ocDiMORxHTeYZtmxSFQlEuesUKzQfYPpzyj3/zIpbQYlspFcfjGN+1qvmjtVhzbctgWAmBhTDoT2K9vpiCKM0JohzLNNg9Djm/0qDp21XKo83vvn6OOztjbj8eU/ca/OT2Efk0Zq1XW5wX07zkzvbJnpCRF+VHCs7DtNC8ECDJWPR0do7mHI90ITwJUl6t5qYnuL7VZftwhlRwcb35paawftrv/iqjKOXiPHfxLIljge+8uq7J0tOEn93tLwwaz3CGrzqeFRyZpvhS1jvDMLh5qcf24RxTaNHz7Z0xcVIQpQXTIAEkZQmGozgaJcRZTlFIDvoBR8NwYTIxj5/uSirgzZur9EcxDd9CmIbeewywTUHNsWnWdIJGp+6AoJqB6h6o5+h+pWMJ3YtTejaKACm1okSWCiV0L6/m2SRpycZylzt7U+ZRoQ0cfItGzWY00xyjXkubLcepThK99XjM7nGAkorRNObe3pQ008PT0dv7/O/+8Cr7gxjX0cliUinG8xTffTInP3kvTvZW0CLVUiltYgUIU/DqtSXG8xTHMvnbd/bYqVI65lGGVJK651BK3UM9GoXEqa6FBpNYp3FFGYIn6cEncJ+doRgGljDIDYUlDP7sxztMgxylFD9474j/+//pPPMkr3qpJX/zs30ADof6+t+4sUJyiu/1cZBKMpzqusYQQht4nMKzwkrb/vKElr+OeHZWZn/Ce/NVheaygmUZOJa5EBO9SEii/nP/tvSrcEz8EuYJv2iEyROiiwFM5vEv72K+IE7OwsIQ1cdfMFnrS7uiM3wkTiKw8qJEKd34m8xT8kIyjzOkhK3VJr22zxs3VjAMg9eurvL9dw85HIb4rs3vvL75Kb8FmjVN3DycR9iWwUa3xlGV9uA5pnabsS2yvMSxTEopcS0TS2hismOb1DwLgW64DibaHdyxTI5HCcdVMojvmqx1a8yiDGKDmmcSJXo4TOUALJVEGSDRJEID+P67B0yCjCQrOBzoKNE4LUnTkrzUpOokKxnOU373zS32BwG2Jbi82apiUCeEcYaBQRjn7PW1M8Us0g0TqVQVuaYbiEfjCM828V2bhu9g+Nr5w7FNlto+33p5nR+8t8+sGrokmcR1NCFspeMSJhlKwbmVBv/Vn77M7Z0xHzwcYQiDcysN6p7FcJrQbbm8cnlp0WhMsnJBZrNMrXI+cbkbzRLuVQKPRs2m03AXrhIAcVay3PboT2LtWPgRLqdxRZY3Bbx7f8hopkUlr15WXN3qcGmjRV6UvP9gRJjkrPdqbK40+PDRiDDWTkDXznc+tTEqpeLO9lgXaIaO/vk8kfNn+Hh0Wx4fR99r+DbnVhs8PphxMAhZ7dW4uzMmyQr2+iGWabDS8QnjnDDRB6vhJOb1ayvUfZvdozm7x3N2jgKyosR3TEzTQUmlneOlHmQeT2KSvORoFC3U65YQLHdc0lwX6WUp8V0H2xbUfZNZqKAS80iliNMS3wXPNglNTT41jEqdakCaFczDlDApqqaeqkjN2nHKALJS0fRssgKyvKh+NpS5IqQAQ2CZupAtS+1S3qq5ODbkuWBzqUbNs3h8lDEJ9WFHSa0Wzws9HJnHOa9c6lWEjQnzMOVrl3sMpwlbaw3efGmVaZDx8ECnZEgl+b03t4jTgvVejf1hSFkqltreoqlXlHIh4ABNuFi8v02PtV6NQdXgvLbVWQinGpXD1c+D05HCKP27z4bFXw383jc2eO/hiLzQrrqGUfJof0qaK1xbYFkCA0WzZtOs11jp1TmexBxPYpRSvHZ1iaW2XpvjpODSeou8kLTqLv1xpA/0pcJzTT54MKTdcLhxocutxyMOBiFhlBFlBS9f6lFKRZrppobvVIkUjsVyp0ac5vzgvSM6TZeHhzP+y3/8EiDYPpoTxDlhXPDa1RWE0IONVs2uBBMlszCl7tkUhRaFtOoOUsqKVAoNz6bd8BjPUgzDoFmzKUvFwwOdGHVlo80sSvnrnx6w3NHuUIbQq5Dv2tiWSV7oFKEoLtg9nhOlhSZeuRbCMvU11Z0q6lS/9lFaLFIyDMNgpVuj5tn0Wi6uY1JKxWASMw3ShYjjN7+2RrPhctCPKCtRpm3p9IBO0+Pq+Q4X11u8decI0zTwTS2OiQqFUZREds7W2pMkgck84WikY8zjrGBrNeH6Voef3e0znMSUpVqIPmZhRs2zOb/W4GAQsrXeWFz7arf2hRzG2w2X/jjWca22oFV3cGzB5SrW/u7OhMlcE2h2j+c4tonvapfTT1qXno1yffbjM3x2nAysNpbrPD6cMZrpBBbDMFCG0g7bUjc3fw49x1OQ6EH74Sjk1atLbKw0uL87oSwlUVIQJEWVOqcFybIieM3DlDAuYJ7qwWv7+RrQsU0urbfYPQ4whUG35bJ3rF0N01zy8qXec6RspaB3qgb9LPdTfGrfk5WI9UUTcTiWWIg9z3CGE5yu6fJc8rM7ffaHIVIpGjWLMLXJC0nNtbCEiTD18EBKhUH5udM4pKTaQ2vYtkmaSzqVy6FEsdqr0a47gCY4/eYp4tRnRb/a7wbTmKvnO9zbmZAXEtM0ePlS7xMH5BvLdcJEkwo6DZfVbo0gzlnt+BwMdS+iVXdemCH7Gc7wSfiHv3GBh3sTpkFGu+Hwxksri72t7tskeak38VMJN6BbTXmu+1+W1GfwEyd6z7FwHVc/cwKOx4kmRxkGUkmipEQpRV7ovbmQIIQWd53UgnFaUCpFmZfYlsCxBdN5hgRmUUZZquqcoXtrJ45ha8s1eh2PLJeYBkyDvIpTV/QnCX/x1h5lqcjzkl7LZTRLtUGL+2Q/z4uSODcWYuEffnDM//gX95EKGr7FazdWEEoPoU0hqHsWpYRGzUJYgl7Lr1J0Tc6vPak1bEssUjSAjySpZllJfxIvzCmkUtq4pVDUfYua+2TdOV2XnLxmPy8J8HgcaWdVBa26zXLHWwyRz6/+/PHtH1XPn0lKfzGoeQ7fvLnK9985oObbvPHSKg92x8yDlOwTymCFFvYrBLMwJa8EPnFaIISBVRk4ebaJKQRJloGsUqvTkiQtSbJSP7NKUSrJDINOw8EQBvM4Jy/BNAPyUp9H6q4euHpV+uKVc+1FisgsKhjPYtKspO7buKZBs+6gpKTV8Lh+voMQBvf3JnSaLk5FwKz5WtwVJYVOFC5c/s33H/Lufe3O3G04OI7FNMjJKjJ5KRVxkpMXElsI6p5NVpQYAmqexW+8ss79vSl5KVFKaWfsUjKYxMzCjDs7Yw6HESsdnyubbb77xrmnztdxosVqaVaS5iXlA508KoTBhbUmF9abVe3y8QPP0zWcOuvLneEFRF7IhYADPvlcnmTFU7VIlBRPff1JancQFQti72iW0Gm4i35AnBasL9V59erSgoi6uVwniDItNnAsgiSn5uvn6LQb7fE4oj+JGUxjTNPg+lYXqRRpXrLU1sl/g6k+gzR83aOcBjmFXxJEBb6d8ftvnufv3j8iy3NcW/cIzVKSF6pKJBeL6/A9QZQWzMOcUkK35ZAXCqkgz0ssIWg1HI6GIXXPoe7ZTIOMJCurGoUqaU0xC3NMYRCGGUWp6wspdYqRZ1kUecFsnjKaJBRKsbFUYxYW/N17hxxPIqZBhu9Y+J6F55psLNUZTmKG86QSBeZYlkUQ6fNc/STxU0HD1z3BopTkueTqOd0bHE4TAJY6HoNJTFqUvH5thb2juTa5E7C5XGMyTxdilHmYchJ9cuvxiP1+qHvfhk51Oi3g+P/8m1scDCIMA37n65v8zie4ydY8+xd+tvsyZjO/jrh6XifMnxDrT5P4lFLc3h5r8xUDLm+0WevVUJVRpG1qM6M3X1plPEvpjyM9V29rg8ssl7x3f0CWl3iuzT/45jlcx6bX9Eiyklkl9NqpRB1hknM8ikiSAtsS2nCplAgEdd/W/1YlR+z255hCsNT2iRKdqtOsOXiOgVSKaZAgpSRKTkwVLSZBQF7qGspLBa2GdrxWlAgApcm2vmNRSEVeKsIkJ4xyskJhmiWl0mcQ41TaTOUJRZTm9EcJXsVFsC2B65psunVmgT53CUMxnWt+QlEqPNcG40mP3zDg1auC29tjPMfk5Us97uxMGE5jPUMWBtMg5cZWWwvlAN+16LW8SmhjMI8z3n804t0HQ86vNWnXHW5e7PHypR6PD2Y6Hc3XJFnbEvzmaxsIIUjj7Kk94eP2jwurDe5taxPBdt1dnPHiZ2abcVo8tQ7s9QOOK86GUQl1vyx82u/+KmO/Hyz4OStnPI0FHNvk979xnv/lbx7yZz/cPhNxnOGFwcWNFvd2J2R5+VQt9WVg52jOYPLEcCCIcopSQSFRpWQ0yyhKSZILTMMkSHLNsVOKTxvVXT3Xptt08RwLw9DpAUllhqCUNnmTUtHwbcpCYVsmlzZahHFOmpdkuaxSNizd17AFJtpwahJozpOwDFY7Hvf3dFqJaxnUXIc00xykZsPjeBQznMVYpsF3XlnjnXs6IcKyBGlWEMQZstRpxVGsTV4ApBTsDSLG8xRhGFzb6jILU81zlPD6jRUmc/2adZquvu5KAKKUQafhMql4CMttD8cy2VzWPTvP0QaWcWVuublcJ0pzwqRgY6lGq/6kJ2EKwdpSTRtkCoPrlYnMCX7njfMcDkOORhFrvTpbqw0eH811XVBEzIJskVqY5SXzJF9cxwcPh0/9rONRzDv3BpSlNgp75fLSxyYwNjwHzzE5nKdYlvFU8jDAN15aZR5mzOOc86u6Z3SGL44bW12ORhGHw5Bey+P1Gyu/7Ev63JjMU2ZBjjAEeSmfEj69KDgYPb/+3htHLC19tMnFiwLBi2eE5zomltDmAaIyQX3RsNzxmIUpkyCl5tpPzaQ+D846zF8SkrRg+2iOlIpzq43FgKDdcBEiWLhPthva+UoYmohY92wMw2AyTxeHxlbD4U9/6/KimXpps0WU5OwczVFo0cez0d4nbhfzqsn51p0+tiUW6RMrXZ8r51p8/50jsqLQbhFKkeYFwjCo+Q5rnRoHw4h5lHHSx905nuPaFg8P59imJhde2mzTqtn8h3cPiCIdDypgkU4h9QVhCd21jLKC8SyhkNrpJ05zOo06QZyTl08UVYWU7B7OSfOSN26sMprG/PXbe8yCjEeHU/rjmMk8AWVQ8y0ub7QqF0Lt/BenGUfDkJsXezR8m+E0YbXrs75UZ32pxupAu0uM5gn3d0YcVs1WDAjjjG6rSV6U+J7N5c02f/Tt8zR8l2bDZaVT4/ffrLHXDxbuXu2Gw0sXe0+9D82abhSdxLGdJqodDJ5EuAdRrp0MTxo5Bqx1aygJrYrk2Wt5zymvWw0HyxTsHs8I4nxR9H34aMz1Cz22VhvMw3wRuwfaXe1gEDCtijrPMZ8TccgqSjSINWmmUXOeKGyVvvYzEccvBudWGgsnu7yQ3N2ZEMU5lzba1CtnFD0wNKj7Nt2mFv5srenvU1KvB6YwMIRASaXdYooZWa6J2KbQTSrDMJBliWnpAUYUF+SlwrUNMsOgKEt8z8Rzbbotj3s7U9Ks0KpvU5PBLNOg5ppVmo+JaRostVwmgSZ5FEWV7FH9fac/LkuJRPLK5SUeHswIwpw0L5DVENaywDBMGr5TRZ1rV9FmzeVrlzUZ9e/eP2A4iUhS7Qc0mMQ4zpOEgaKQPNyf0m64bK3Wcew2SimmQcCjgxmbyw36E+3kSUUImQYpvZbHZJ5yeaOtne2l4m/f2ddiN2Hw4cMhcVZwaaPNta3OU+/hxY3W53JEKUvJ9tGcOC1Y7jyJMc6LkseHc/Jcsr5Uo9vyWGp7hLEmy9iW+ExR5bMwY78fLIbSzybAnOHLgWXZ2JZRpV5RJdUIwjglqwzrb17qcW6lye3HQ3784RFRnLHSq4GCo3HCq8DtxyP+/Cc71D2b33ptDdfR8dyObRHGObMwY+doThB7nFttLhoyCt00KSpLftcxqxhuRRClKKBVc/jhB4fkhWQWphwMAv4f/88f0ao7fPvlNdpNFykVQZxT9yzCKONOoF0p9RDERKJwLIPxLKmaDHBuuUazru/NUkmEafDyxS6WZZLlJZ2Gy7iqc/YHYXVtAs+16DZc8qJkFunhZlkW7B4GHI0jhKnj0ItSP/9CaUHVUeUq57sWGLDU8mj49mJgbJkGF9ab+I7JThXRPZkn2r0jK+hPQgbTBM+2eO3aMv1xxLwiodU8i8ubLU2atQQ3LvT44btHpEVJnJRYJhVRpuD/9707vHp1GakU24dzklS/TieOxbMw480bq5RS8pNbxyR5qYllFRlrc7mxaK58Xuz3AyaVe9zWapPhNGZ9qQ5Len3XjX0LxzaJknzRXJqFKWGS49gmaV4yDdJPTNZo1x1M06iIeE/qmpPf3/Bttta+XGesX1W0Gg6zMOXhwRTHPhk0FpRSO9CeCDe+LAEHVGuRZdCt6se3bh2xvlSjMgHAdyxqnq2f2cs9PMdiGqTcfjzWX1DVgKdFHLvHc2ZhRrPmcH61sRArv/9guBjknaxVnebTpMailOwcz7FNwVqvRrf56W6LvbbH0VA7pfmu9cITpKRU7BzNCSvH8I3l+i/7ks7wS8JJTSelYvtwhqiIEIZhUPMcrqxbhKl2XzwexYRJRpYVZB+RvPNZUVQ1yj/57UscjxOiJOeDRyPd8I9S6p7FH72xxY0LvU//Yc/gRMgIOp3q3u5kcSYuS0V/HHNx40kPo6z+7jgtWGr7rPVq3HzmbF33LFoNF7cSkm8s19g50omDj/amNOsOX7uyxNbak30syQq2D3VfZmO5fuaweoavJDaWfK5f6DKaJvTaHi9f7KK7anB0PeTPf7z7JOz2Oagq+FYPWSfzFNMy2FiqM5omeoDqmwuDBQOIk3Kxf6aVc6wwdDvftg2mYYaUilbdQSDJSgNhGkznKVFlVFIUBUUhUYZAGEr/z7RAwWgcMp4mJGlBzbfpNlyk0rXhZCHo0Ak7vZaP61gIAeu9WmVuo1MKz50SLOwdzTSZEEUQm7T2plze7KAUbK7U6I8TpIK6b3F5vYnr6PUlOjV19j2LO9tj9gch3YbLt19ZXww6T8NxLHz3ScJop+FwaaOFgRaNnAjtQdclo1my+Hs6X8Iac7pXOAtzljvWoub5JCL5Z8VJzwhVXXPzbF38ReLlS0tc3mzz3v0h93fGKLS5y3Cq++kntb9p6OfREoI0L0mzgrxyjTYMMA1FWUJeKFJAUCJqNp6DdqwEqNzUoyQj1x4uVbKmIM8L+uMC17Wp+5r0O5knKDR5seZa9FoucVLy12/v8ehwSqfu8WBvilmldfuOySzKdepW2+f1a8ucX2vg2Cb9SUynuUajcn7+2d0+WaEjhNa6up+1ezRfiNeOxxFHoxjfz1luu9iWzSDR96kpBFc2WxyPIho1m3rN4vr5LlfOt3VfLEjJS1n1LjL6k4iG73A8ivnJB8eYloFjCR4dzPjGzRVq3pO+mZQs1qQwzkky3VeIkoLRPOHiRmth8vRxON2XywqdGtafxPp7P2P69RnO8MuE65jUfXtxH5/e555Fw3eem3UZBtx+PEYpxYX1Jo4leOfuWLv+mtqk5WRuZRg6UXg0S1jp1vij37jA3e0xwjBQKA4HWsi4exxTFCVKKjaXG+z1A6ZBys7RnFZDE4DTvCSvRCMG8Bc/3uZgFNFrOXSbTkXStmj4is2VBnXP5nAUYhiKrdUmSZ4znqbEaYBjC9I8p8gV+339O2xLk8A7TZcoyZkHOVmu5ydlKclKhSUUdakwTYHr6FrJtkxsSxAlOpFotadT0oIoYxZmmJZJVuoZrGUa5Lnk0rrPNMoIk2KRwt4fR/iuTal0oklZahPAvCypuXWKUjGcJcyjFCEESVrSbrgsdfxFHVeUkrpvMwlSbMtCGIae10rFe/cHTIKE+3tTXFvQbXr8n/+jr3E0CvjBu95CeOc5Jkttj1Iqdo9nPDqcsdar02m6jOfJ4l5QSosHT7B7HPC46o0KA3784fEnijjO8OKg3XB548ZHk6PDOF+k56LgYBiwvlQnL7VJ4Wq3hhAGk5kWKMdJwTRMSfOChu/os7tSur7JUnaOA165vMTXry/Tbrj89M4xSVowmEY6FcO3ub7VJUwq0yfP0mZaQrDc9qn7NmlW8v1395lHGYNpjGuZOI7gtatL/3/2/utJs+tM88V+a/v9eZe+snwVgAJA0DaH7XvsmR53Zo6ko5AmQicUJxRx7vQn6Fb3itCNLqQLhRQxmtFImolzZqZ72gzZbJJNECB8+cpK/3mz/d5r6WLt/CqzquAIkCCIfCJAMBOZ+bm913rX+z6GR0cL4lTP4LvNvDS70AKMIEzLpGvNOUgNTU6ThVZgGKZOEVGlsP3OzhiBnqkmJzNPqft+hhDMwrRM+1i+Pbi2yWQR8//+i7uYQicYCiG4ud0ml5JL601sC/767UOCch1tVB1c22D3eI4QghcutdnoVvEcSwtIonS53hRS0Wl4vHnnmNffP6Lq2/z2q2us92psr9WJYm2a5acn64wijDJMIZiHKY2qs7yv23WPzV6Nf/r715Zu0VXPIssLDochpin4+ocQDlc7Vb7xwmqZnsiSCNppess0R8syzpBalVIcDJ+Q//rjiAur9Y9NdQV9nhrPY6qenlM8bSr0cY/9645Hh9rd/eJ647mv7auMv/udi/z7Hzzgh28fMA/TX8gc7Rzn+FXDd61fiuFXluu0pAf7UwyhTddkoZYmjIZh4DomjtI9wzBOGM8zlJT4HyNqE2hh3Ym47mgccHtnzGSesNat8s0XVvgvb+yT59o06mTdX21XGPciHMvEsXTynBACwxCoQv9h2zKxjAxlatLum3eGDGcJRaGI4wQpJarshUZJRsVxdL/MMPjROwelkDGm2/RY63g0S56dZRl4nkkePOlJ9scBw1mKIQQ/++CYlZbPZJ5Q8QpGk5hbp4xfHh7MePN2n7yQ9Nq+5haUQsPNXpXRPGEwjrBtg+vbbf78Z3sUUuE4Bhu9GmudJ3M/yzKW5rC2ZdCpe/ze13WdLBX86K0D3n4wpFF1+Ie/fZl/+Q9vLX/3+2/uLeeueSHpNj0eHs5QEi6s1VhtPTnLba3UlqIW0MY3p+c1w2n8ofNIqRSNqqt7SKUQ9zQPYbOn045PZjnn+GywLIM/+tb2F/00PhN8z2Q4i+mPdF14ce3DuSa/rug2nr2WTfPL39dzrS9fKso3X1zjcPgApXSS9R9+6+IX/ZQ+NYQQXHtKmPeL4MvNgvk1wp3Hk6XrQLAz5us3VrQjg2vxwsU2h8OAyxt1MASWAZNFytEoLJuZgiQrSvdkE9c2eflal+k8wXMtGlWHN24fLyOIPojGfOOFFZK0IEp1NO4Hj0Y8PpqRS8UizigeK25cbJFkRel66ZBnBdtrVe7uzoiSgjQvSDPt/KuinJ3jOaNpcmZOXBQQq4LjYYBjm2RFQavmIRU0Kzay0I2OJC2wbQPXkri2Re5o9z9rGRkjMA2F51iYpbp1te3zYH/KYByBaWAKvWHtHs0BxY/fPSJNC/76rX3CJCfNJIsoxXdNFmGMIUAoVZILDaQUpHnB4+M537i5Sq+l3Xi+9aJHIeHrN1bojyPu7E6wDIN6RTcmGzXdBFlrV3BMQa/lc3WriWPrSDbDKNm3SjuEHo9DPNd8bkyobZm8fLXLZJ7gOuYZ0sjTzYZaxeGVq93SkduiVnFo1twlKbbznLSMk2vDtgU/+PkBpmEwmIS4tkl/HPFnr+/y7RfPNtQUcFiS30hgUDrunMbhKFj+zCLM2Fw5W8B9kkbJOX5xxElOlObUfPtU4z/lzuMpCoVSsD8IuLLZoFXzcG2D0VQTkheRdp9J0oJ23cUQurgOEx2dFyY5VeDmxQ77gwVV32K+yIjSFMsUyEIPMB1Lq2R1M9QhXySoMk7YsfRgwLIM8sJAoTANrYZ0HRPf8XUssCk0ATRKyQulRSVPvdbTDuOm0Cpx3zVK0YkeMCv0JqeUoOrZWAZM8wLf0QIK2zJoN31uPxpzOAhIcx35DTqtZvdoyjxI+DvfuYhlGBwOA2zL4GHpGNSquewPApo1h6R0C23XXd0QdXQMcaPh4DomsyBl51C7zxwOQzzH5GAQYJoGpinY78/5o29+toHEztF8efBbhBm+a1GvODzYny2J14so5dVrPda7VXzXIkkLWnX3Y+/NopDc3hkvXX+SrDh3A/8l4b+8sacdbsuvF1FBr+nguVoMJYTAdyx2j+eM5wmmKRjOYhCCRtWlWCTsHE95404f0zDYPV6wczTnpcttDkchjm0QJRnjqUHUzYkHOhJ0rVtFqrLBLXWkd8U1KSTkRYFhCsI0p1l1cW2TetXhcBgwDRKOhprsMAtSpouEP/6dq6yvVGhUXaI415HmpfNEo+qw0atgCsFuf05aDico4HAY47kOuZJUXIfttRovXOoglWI0S0gyyWrbp13zQMDhYME8zKj7NpfW61zeaJLmBXGac/vxBFMYJFlOHivadY9ey+Plyx3aTY9L602SVDtx1is2KyUhBOB3X9vk7s6ETOqh7s5RyCLSoknL1IOR+SyhUFD3XZKsoGkIXrjUQRhwdUM3oJQSDKc6kez6hRb/4u9c5/V3j/nJuwdIJcilRCjt2vXGB30aNQfDEJiGHkp4tkEYZyzKgbhpGHzjpk43WetUP7NDxXAaLSO0F2GGbRpLQppSir3+gm7TY7pIub0z5qXLnWUdU686xGlOq6ZTSk6Eox8Gz7V4+YquVXxPr03PPL5lnhPRPwZSSu7vTbXrVylMWkQpQoFn6z22/Ig+d5imJk0cT0J8V4vKb13pcevqkPk8wTANVlr+smZ/JsbV0vtokhbYjsF+X683J+eWtVLE8bzfO415mNIfR6y2fKKkoFlzPtHA7NJ6g0bF0bVSkjOYRMvH/DJif7DgaPSk5n6euPocXw2c1HT3dic0ay47hzPtCmsILm3UeHSgh7QHg4B5kBInnz5943nwPJNv3drg53f6/M17RzSqNoNJwTzMuLJh8ZN3j1jv1Wh8ysHn05HanmORZU9SJ58mTu8en61/vafOzqAdLm9d6TKex9qgIpM8Opjxk3cPtflASST6Z79/nUrpPPvu/SGTRdkziDK+fnPlmed2jnN80Xjr3ojDwYIgzrXJStZha6WCYRiaRGOAKp5fFxhCoMoIyjDKcRwTQ2m3Pc+1ME1BFBcYSBAS27RoVByEoesPzzGQSiClPs8KobBMRQEoJak1PLJU4jkWB/1geXZPczAB09J1cJyBZWnRQxgrPEdPXxdBCkrRbfkIIbAMoffwLMe1LFbaPrXUxioFnTd8m2mQsrVS5eUrPW4/HtGouXz/zT3SXK97IpfUKw4138bzLNa6FTqNgCDOuLBSI5OKySig4tlc3WpimZoEr5Tkr35+TJoXHA9DbNvg2y+tL9/LRUnsajc8/uib29zdnQJwY7vFy1e6hHFOraLTyqaLpBSheLx0pUMU63TAjzJI0KLuBMcynzHiOUGc6vpGSoVlGgRxRtp/knRiGIJL65/cIOJ5aNV1gnAYZdSrzpdeEPtlhOdYrHUq/PT9o9I9UeGVDmOLMjXZsgVFqkhEoRNql/M2VSZ9nhV7SyidHc+uFVKBVPreEwbakdJQ5GXihmXqHr6UsjQfAIF2y5yFKbLs7e0dL1jr+Dw+WhCnGQKBQjunoxQGqnTthNEkwrUsWnXdW1jvVLj+t28wHMdYlsG1C03dvyyJczXfoVN3GSPYXq3Rrnu4jslq26fiW2z2alzZbHLzYofXSkfduu9wdatJnOQ0S4H6dB5RT2xc22QwjTkaBaR5QZEqhtOYRtVhERUI8SQpw/MsLq7XWUQZjmUwXiRUXAvXNlntVHjpSudjDQpOargg0qkeOmkkZ7o4ZqVdodf0P5HhytNYhLqX2qg65wS9c3wsslz3FDzn0xsdCCF48XKH4TTCLPe25yGMU47HERfX6hRSLWddO4fa5Kni2SglCKOM/UGwnI0qBb/18jq2aSyN6bJCaSFXkJ5ytFVkeUEYZ6x1KqS5pOrrmuVv3j1io1dlHuhkntV2hYPBAiUrPD4OOBwuuLMzQRiC4dTm5naLP/7dK7x3f8jxKEQquL8/wbZ0ytBkEbOIdJ+z0/QZTSPcsheTF7qXagiPOE7JM21KVaCIFxmiJHXnuQID0jRjPIvZXqtj24KigFrFpVaRoCSmIahULeI0p9PwaCHZPVwAAs81MQwDJQWGUNpgo+yvCmEgBCyCDKW027BSCtc2cR1TJ46HKbkEigIp4buvruGYJp5rcXmzSRBqJ97DYcB7j4Zc32oymMT8f/7yLpapawvXNnAtk82VKmlW0G54NGouTjnfbdRcttfqPDqYstGtEiY5w2mkk6UrurcbpQWubZ4xfTv5+ycksyQ7T/L9KsA6iZ85OTNkBQ/3ZyRpzixIl4kt8zBlPE/oTyIeH+kZZatWEEQpSapJnVIp1ksRlG0YfOvFVd64fYxjGczDnDid8+LlDlkheeFim8EsYrZIsS0TKSW2adCoOCRZwQcPR0RprvutFVhvVDgca5K/bZnkUtKquxSFYneQY1Bg2RZZVmhhhaF7uXFe4NoGpmGghDadc+wy6TDJKHJJUqayK0AJ6DZcskLqOehT79c8TEkyyXSRIBB0Gi62ZTJZJFq4UnUZTEJevtohCPX6c2WjDugUESF0qtjd3QlxkvPocI5paH4J5Xpx9/FkadA4WSS8/t6A77xscWm9wUtX9IxgEaYcDEJkaQYYpTlhlC8Ne8azBKUUrbp7pibJCr3GNaoOpmksOStPo1EabizCjFrlSerOWqeC55inZptPSHK6Tn1CcjUM8YnqofEs5vGR7p+dnJ+2n0Mi/KjH/iw42StbNZfWJzAr+kXw6GAG8JnPhb+JuHahyZXNBg/2Z/zJj3f45394/Yt+Suc4xxcGKeHtewNmgRZtTBcJV7caHIxCKq5OzygOJGGSU3EthrNIixOBMMqwTc0LBJ0ud3qJ99yza+b3f7bH7tGCJMuJ0gyzrFuTPAehiJN8WfML9D6TS4mhBJbp8LXrPfaHC3p1n/1hQJJJpNLi0Lu701LwDYswpijkcj9Iknz5HPOi4GgUMV7oOfw0SDUv81KbeZiytVKjyHPu7k2RBay2bHYOF8uEufceDJmu1MgKyWRucOfxhKsXmkSJ5mulWUG9auskE1nw1t3B0vzljTt9vnGzi23rc/8iTNns6dS8Zt17ZhZxZaOBQvdlm1WHn98dLGvm/jjgzTsDskJyNNTP7X/+d24uf3etU2E8i1kEGZvdKlLKpeD0ymYDyZPHatZc/uH3LrPXX9Cuu+SF4ud3+/THEZsr1Y9MuNJmQCx5WPMwPcMD6I/DpTj1w2Y55/hqIYgygjjFMPT1czQOv+in9Klh2vNnvvftK5tfwDP5fHE4+mWwTX65eOVqj7fuDBhMIi5v1JcGol9FnE9uPifEp3LQi0KRS4Vp6qbFiQvlZJFw82Kbb720zs7hnIvrdZTSw5M0K3h4MONgEHDranc5PADt3HD6MJwXktEs5v7elCQtOBhoMqZU+lBrCQPK5qJrWzSrLoejkCTNidOCmm+VcbrlzVvGAQfyWcK1VIBSTBfpknC2exSUCtOUOFHkSjuHxUkOSmCaOYuowHN0nGicSG5cavP4aE4hwXdMgiil1fD4o60mf/rjHcIkQwiDdsPl4eEMxzZIy+LupHBL87x8HD3IPR5HIASuZRDJAgRMZgmzhXb+9RwdEZrk2unfNATTRYpTHs57zQqFlNi2uSQ9VjyLb99afyZG88pGk/3BgnfuD0nSgtkiZTJP+P1vXHjmWnBOfXancWmjgZRTkjIe72SIe3roaxjPxpM9Ddc2efXaCv/we5f5/pt7eI6lmy9AmhasdirkhSKKc9oNl3rFodvyyoaWQfc5jfnkKUtXQwgubzQ4KMnvlz9FqsA5Ph2mi+SJe7xl8PLVLkII3r4/4qC/wLZNvn5jhSQr8FwT2/KIU5uL6zHzUKerOLbBew/HIEAYguvbLQ6GAcNZjEBHZfeaHt2Gj1QSqVLiROLZJqALfds2UEDd0wRfIQx8z8SxdQrA4TDAtUxkocgKvWaBooi0k3en6eHYJoaA0UI71GTFh6s8DQFZAQrJD986LB0I9aFMlP/YpSPKdJEgJcRZjouJ51gcDgN9wHzKstw09LB7EWYcDgLCWB8M370/LF05BStNj9VuBcfWf6fb9PDzAtM0uLBaW5JK6xUH0xDsHT9xHMtySZwWeC40qvpeijOJ+xnOKUl29v5Ly69P35dKUV4D1qc6FGW5XAo4nv6b5/h8MZhEZ/bQPNMN/G7TpVF1CZMc17GYh3q/sy0L19YO3HlWMAsyfvL2EcejkNVOhTjNmC1ibEswmsV0yvQm09QH6E7D0/f7hSYH/QVZnnMwDhkukjKRxiDPNeFjOIkZzxJeuNTmtWtdHuzPSBZpuVdkRElOGGea9JBJbl402Tte0Cyd6Fo1l4pv4TgGSSIJS3HC8rVKSVHuO3EqGUxihICXLvd4626fJNFOorat7+nXPwhRSlH1bL5xc4120+PqVpN7jyfsHmuCuGOb5b4vsS2TrdU6szBjEaa4jsXe8QKhYBFl2JZOAvvh24ekacG9vQmbK7XlvXR5vY5pGSRpQZgUeI4ecG72ariOwdZqjd9+dQMF3NmZLF9XkhaEccpP3jkkSnSDfzxLMBA0Gy6tmsfRONQD5U6FJC3oNX3u7k54dKSbG1XP5vqFFmudChfXP5/Eiqfv4yQruLTeIE4KxrOYWsVerhNJpklg17aa7B4veO3GKgeDOWkqubhRf+5Q42l4rnWmVomfevzTNfA5no+/eH1PO9MsEopCkuV6uKhTpvhcBRwCLdwwTUNHTpomUSa593iKZ1lkheRr11f4R799hR+/ewQKvvni6pJgXfFsLq7XORqFOOUg8SfvHum/bQiubTYwSsHH6c/+w+rcE5xct65jaVf9T3Ev1CsOP3z7gFEpRH7lWvdDXQB/3fH0/fN0DXCOrxaaNZeKbzOZJ+wPArKswPMsvna9V5ImJWlWkObymeH/LwLL0K5Lf/7TR3QaFYaTEITANARKaTdJpfTg5tOKODZXaiRpQRBlNOsuF9dqPDqcM1ukVCu2Tos6heftZc+DbRnLlLpHh3pwHZc/WxRl/ZFoB87hNOL9R1q8bFsGF9fry4TDc5zj1wkP96c8Pg5KwbPg9fePcW29b+71AyzTRIiz7sag93jfsylyiTDM0rVWUhTa0KRZ0+fTJMuZJTl5rshFztZKlYNRSFFIWmU68LwU4o5n0XIIl2QpVd/Gc+xSAH32eZuWJhgidL8TgLKOkeqJYYNU4FgmwhCsd6ocjkKiVA+J1zvVJeFvGiS8eKnDFpok9Zdv7OlE4uOAVt1lMk8opKTmaVfs5IRUJXTHoOo5TIKMncOFNrGwTN0zKZ/cXn/B8agUoghYnzzp0w2nEf/pxzvkucQ0Bd99eZ2qr5N6L603qFWcJQn7xF0QYL1b4eJ642MdPgupeO/BsExRhcsbjWf6hIsw5f1HY/JcMphEbK3WWOtUWIRPzlqf1/m95tvUPkRIco5fHSbzmIN+wCJKUUph+Q6+Z2kxRaHIpCpNTbTpyelzgnrOYcE2DZLnkeeUwjAUpmlRSEVa6P3dLd3001ziWuZSyFX1HYQpWMw0+TZOcxxLk6+fJM9Akkpc12IRJvSnMZ674GgYamJDrvja9S5BnHMwFNSjnM2V6pnUx41ejZsXW3z/zf3yHC80ubKuhS5bK7UlGT1O82fSryfzhDuPdf80LySzRUaaS4Iop5AFlmmw3qkwCzI826RV93i4PwUBNy60aJcJnle3mhyNQrZ6VZJCp4Jv9Kq8cq33id17T3olu8e6xpguEt66N2C1XcGyDP7eb138VO6Ue/0FeyVBolF1eOFS+zzt8hwfiiwveOf+kDSTCAHXt1ufKOXyNExDLGvs52G6SPgPP3xEmheYpuAPv3mBZq3CYBLxg58flDW2wHUMwqTOSstHFoo0172zrRWdrvXG7f7SQTxKMhzbwDT0Pq2A/iQiLySObdGp21iWQZZJ0jJleL1bIYizZUqxMAyU0sm3cZYvU7Mmi4Tf//oFKq7NzsGMt+4NSrMMbaBTFFKL50yDqmdSFJJFlJEXes9OU8mDgwmWqdPKTRNQgqxQFPmpBVhCkEiSPMEeGjiOiWfrcwhAGGcEcY4BuK7FWruCQrDSqiyJct2GV6agaUdkTJY90lbDxbcNpmGGECmOZeC6JlkhKcqkkTzJAEGr7uDaJo6lk4S3V2s8Pl6AAtcxOBgGWOUcdDJP6LUqpJnEd23qVZua7zCPUjZ7NV643GG/H+BaBl+70WOlXWE4jXBtk7fuD3h8tGA0S3j1uuT3v3GBySyh4lvLzxmgWXd5+WqXe7sTbNPkWy9+OXs25/h08FxLz5EHeo7crDrs9QPqFYe4nqMUSyOy/jjCMIROkM4ljmly60qXdx+MCOOcrZUmh8OA/+mvHwE6ebvX9DgYhsi8oNuosNmr8cGjMYaA7768yf3dSZk2HpIakp/fHQCKo1FEVmiRViEVH8STpZHihZUqQZJjoBjNY4QC27awTLRZZK7JooWUCAwKCZlUOLaNXwri00yLsNNCJ89o12q9thqmiWuIsu/5ZP0whZ5bnggupKIkzwriNGcRpbx2c4VFkGEYmozabfoYpk5QPOn1LyItTj2ZV0ZpjmOZbPRqtOo5u0dz3RM2BGlaMI8yFnGGZQrqFYdL63V+8PN9QGGIMgE9Uzw+njNexFy/0GLnaA4KttfqmKeEFGkmMQxj+Vw+aiZQ8exneBaceh3Pw43tFg8PZs997A/D072kj+qzft5k01mY8j/98CFpWiAE/ME3LnDhl+BC/fBExLHx5XO4/mVDCME/+p2r/J/+1Rv8+x884J/+/rVPdN2c4xy/icjygmmQMpzEIKCQ7vIMbJoGWysV7u3NyPKC1BSU+RaAFiF6rqVFyygsE7LoSa/h6d7UBztjjichKJgFKUGckZdbwniWcH2rTbU8W2d5gW1qbqBhCKq+RcWz2ezWsW2DahAzMgAJlmViG5CVPQzNOzKh0Ocez7VYbfv0Jzrdo+ZbhElOUWjTZ8PQiRKOZeoeihDLnmcmDVoNWwv+hE7vTTNJVJriRmnO2/eGS5MVpRQ1X7+GMNS9h5N3IcslWSYoW7kMJjFRXOC5tuZ0Cl3/RHFOp+k9Y+J2/UKLx8dzDCFIUs2DKiQgoP8UET7PJff2prpnVBQowRkxRprmONaTPkaz5i73u5+9f8h/+tEOWa75RToF/fl9CoGgUPrzkqVI5DQWYXZmXz+fa54jiHIMhJ4VoK+dLxuKovbM997d7XPrwvPT5r4syD7+R37t8Fc/32e3r/sZt3envHt/yOWNz2aK+2XFuYjjc8Jqu7J0VdXJDrpBNpqdjpjVjcnrF1q8ev3JYfH9R6Nl5GiSFUwXCX/208d88GhEveLyv/nHL9Fr+QwmuhnYbrilE8KJc0NBt+lr95g0xzQEnqud57Z6VSalq1SzYvGjtw9J84KsUFRtQZpp4UBWSPLs+fQxKWFeEjZtSyAV3N2bEkUZxalfEUo3HMPSZdgy9XDonXuDpXvzIs5Y71XY6OkF8fJGg9durjKeRozmmhh58rsVz+LN230UiiTTBZgoex9K6ehnPVTWRZkpBIs4W8ZBS6nIC0kU58s40cEkJMkKbMvAcy2+8cIq7z0c8tbdAUWhaNRc3rk/ZHutfoZostL2adZd3ro7WDoL7xzOdWHkfLLbyLVNXrx8dgD1k3cP2etrouzvvLrxif8WwN/9rUv83d+6xF+8/pjHJVl0c6VKzXe4efFJsZYXks1ejW6jbH4/xy2729TX10maQqfh6UL4K6xw+1XhcBSy3w9Ispyq77DZq/Jwf0qr5mKUMbZRmvPajRVevNRh52jGT987Yh5lSKmvq6JQ7B7PyQtFs+by7Vtr2oV2njBdpMyChCBKqfkOu/05k3mixUbtCuNZxCLKmQcpSmlHvPWeHnoGYcZ0kaCkHnTkUmKYAgpwLRPLMokSTaoO4oy1tofr2hjlsNkSoAyeKfQtS5RO5Iq0JJkrwBA6hsMyTuKJC+7tTbVjIGUjFMnhMGQepXQaHjXfwXdioqTQx00hiOIMp2owDXSCwDxIiUpnrWZVH1brFYf94YLBSJPJr2+1WO1U2Dw1fIjTnEcHOoXDLBN5kkw3Zk/EIyttn3rlyaFlOI3YHwTYphY/fZQz5wlWWr52x1Hg2MbSGX+l7bNTDrr8ssn8aeE6Jo2as9xjPk4kdo5fHI3KWSeKAu1ORHnwFsAsSMjyglmQIIIEFLx2c5VHB1OatkujavPoUOr7OS9wHIv9/oK0UFQ8i4qnHfaEoZv7d3fHPD6Y862X1virtw6wLRPftTAQmBh4nmAapCzCDNMQPDqY0a573LzYYtH1dbypAlVIbEuQ5ZJ7exNuPxqh0CLKmm/hWAbtRpvhJEYq9YwLkpSK4SwCtOg0zQrevDsgiLWDU6+lr+V61eXdByM6DW/p9KcEvFxGlF7bajCaRtr1P5estnx6rQpZUehrWYgyulOvA0ejkySqkDDO2O8vKKRiEaWMZzG9ls/xKOLR4Zw8l2yt1GjVM4YlEXxztcYff+/y8t7KC4lbOjKBvl8eHwZEpbtGu+5hWybNikshJYfDgEJq11KUfu339ifc25tyYaWmB1NpzqvXu0vSe15IHuxPiZOCTtNja6VGlhdaWJMWrLT9Z4iuT6PT8DgYBsu6qNv0kVKxP1gwmES60Vbmla+UJLlu0z9FIvlsg9QTYd/J45923jvHswjjlHt7E2ahjrdfRBlRnFFIRZLr6PrPK9jSMPQ+stqq4nsmWa4T8qSUCCE4HAXEWc6dxxOuXWjyz37/GofDgP44Ikpy1jo+e319XV9ab9Cqu/yrP729/Ptpmpeu1NodtneKmPS8Ovc0mjVHi7TLJubKp7huxvN4KeAAuLc7OSPi+PG7h+yX7jLf+9oWzi85QW4Rpvzg5/vEScGNiy1uXel+/C+VWGn5jGexFu+aBq36uVvNVx0rLZ+jcUjVtzGrDoYBr39wzGiWaHGC+8S5+rMilzCYBPyHv97hD795gWrFYTRLsCyDNJUcDhf4ns3xSLsIfpI69gRmKSQ/jY9yd1pp+UwWuhY6EYx+HLpNn/5Yp/Ec9AN8VwvJ2+V9dDyKaNZcxmUPRiDwnC9//PE5fvOQFhnzMCEvFJapBduPDmcIBO2Gxe5x8YyAAvR5oijNEjzDWLqonri4nogeHNugVxIdAQazmFbNpSi0iUkQZmQnxG9RTkpLDMYhWaFFl0/DNAWWZWIKfW44qZl919R/oRRLbPWqtBseQgiCKFuagkgpzxjUvLDdZn+w0GQgoWvZ8SzWpCN0La6kdvxb6VRZKeuOdx8MmCxSikKhlOJ4FDINElzXwhKC77z8JG3j/sGMINTkz62VKv/H/9tPkEpycb2xJMUXheLdB6Pl73TqLsNpxDxMqXg2u0fzMjFXkOUFF085oJ6c/y3D4Mrmk/P/IkyXAg7QbmRP99f6kwgpFY5tsrlSY2ulRq/l8879oe4jf4p6SSmlhXNBUpKzGudO/r9GeO/hkP/4w4e8fXeo07NL0aQmOjwhTtgmmKZZDs2f/P6JoOMEJz20rCQqyPzsgpEVmiRoqQLPNkmzgqw8e7iYpchK9+QoDUNc22CjW2URZjoRxjLp1HVir20YREmOaQoWYUKeSxKjYDxPaNRcKp4WpO4eL7Qrc14wmSfkhTwj4gC4sFbHtrTYfBGlpFkOAmxb8Gc/PWYRZuSFZKNbpdeq8FuvrLPZq9Jt+hwMFsv+qWUaBEmOXQo1mzWPtY7FYBJhmQYbvcqTdaycx7QbHuNZTH8SLQ2LKp7NN39Bcbjv6gTvRZhxMAyWj5fnOoXx04g4TmZKoEkwUZI/l/h4jnMAjOfJcj9VCvrj6FOLOD4Ot3fG7A8XFIWiVrG5tztlo1fj4cEUx9a9hrxQTIOMTtOnPgyXwumL60/u+7xM/dY9b4tWzSlTawUC+PqNFd6+PyLLC21cI+DdB0MEUK9YBHHBZrdKp+FxNAp5516fKC3wS9GmVIo0K6i4Fg8PZvRaHsNpRJhkLKJ02c9zLME40I7AjiWwLAOhNAELpciXYtQCQwjyXJNQiufUYyfv+yLKqCiWorfBJNaiVsAwdd1zUCYtWmX/RKLNoC5vVBnPY5QoMG0byxKsdXXfrtfyGIwj9gYBtimYhRlpWmBZAssCMxM4lkmj6lBxLAolMBAcDkPCKON4HFGv2nSb+r3Q82KDe3sTbEunfbRqOgFpe7WO71q8dKnD5bK+ubiu56L1isPd3QmjaUKz5tCsOuz3A1Y71ee6wVdci+sXWviOToa7utn6vC7Hc/yaY7VdWYrCslzSn0SkmWSlU+HaVpNu0yeIdD9elCkO3aaH51hs9KrawDGT9Joef/nGHqDvn93+nLpn4ZZn+rRQHAwC2g0PzzGxTcF6r0pWFFiWQb1is3u8YLqISVJtBKnQ4irDyHUKeCnesB2TySwmzyVGaXaR5QrTNKl4FklakOdgGNpg0jYFjmUxCxLA0KTRVK8XRpl+ZhiCdt1nPI0IkrMkNscSCCGQhaRQCsqRUZAUmAbEqcl7D0fcezzGd20qvs3WSo2vXa8hMKj6FkGkzxbb63WCKNMGlZZBu+7ywY4Whid5wZWtGm/cTrUATcDVrSatmrc8G4xnCRdWnqzTSVos3+NFmGGaBq9e6z33s676Nr5n6aTp8rP/KKS55Ic/32M8T9joVvnuKxsf+fP1ivOhj/1haNVd9vsBeUnw/TT95s+KR/vTpRmpUnBnd/LLFXGcJ3E8F3/wzS3+r//uHY5GIX/z7uHHXmfnOMdvKgwDhuOQw5HmE5rixDRV192PD+ekaVHudwrrxDRAj5JZa1dYRJlu7SnJPEqWf1sq+Fd/epsPHo1o1rwnPUVAp/ImhLHubTgWPDqaL2dmo1mCbQkc21oaVS6fM5q3djCMEIXUfYlOhf2hTtZrVG2klIzmejay1vZxHWsp5P7urVV+8v6AvOyNrLR9Xn//mCjOubRRZziN8Rxr2XPpNtwy6VRwY6vOj949Zlom6F7ebPDzO8csopx23eX6dos37/RJM8mVzSadhs9xKbDoNHzu7I95/8EY1zH43tc2ECfkKBSdhsfNi+0P/azajSfCjsdHM6TUqQaGwZmZK8CDg9mZ71U9i+BkH+58dAroj987xrG1YS9oXuLFD9tLhDaAOZmtNqrOsjfquxavXltZCnc+6SznHL/ZWGlXyHLJLEgwTEGz+uW7Jp4n/DR+AwxVvoyv4OHBjCyTSBSmFNx+POaPv+gn9QXhXMTxOeHShiY6SanOqPlPxBwf9vXzvvf2/cHS8XYWZPy//uQO//1//SqdhodC0aq5y3hI29IuvllecH27yfEowrYEF9earPeqOpHC1TGg3//5PkroYaxQmhSsG5QG40XKiUGllNrN/sRB7zSCOMcQYNvmM03Mpem+oYsuoXSH1rAEsyAljDPtoD8I2V5tkBeSeZhpl62GTyFBod+/dsPl9k7BSqdClOZaOCG1Yw9G6dSl84YRhoFtC1zXJC8UBtrNYx6kbK3WadUd5kHKwUC7e1/daDCaa0eJl692+f6be4AiSrTbxZ3HY6aLmDjNWe9Ul0NYywDHMZeHcscyl67FoB3VjoYRvbb3sYOaMM545/6Qd+4PsUyDWZDyl1LynZfWn3GDmIc6ZrpZc54b8fkH39zm0cEMheLicxoElqnTHWZBimka5HnBeB4vm/sf7IyZzhOubDYwTUMXaM+5Ts/xy8F0njAviVlpFhPE2kkWdIHs2ibXt9q8eKmDUV77rbpHoyQAVj2LR4czPMfCtjSZOc91lF7V08NaxzZp1V0e7M90s1BBEKbslYcsAeRSE0hmQcI0SPBdi0JK8lwu48ZfvdphbxDQ9G1Gi4zhVJMOTEMLLo7HEasdozwUKlzHIi+j1EV5WKx5Ju2mj5KSx8fhspkKT9abimNgWyazMF2uK1owL4gzLUxQCtJU8r2vrfNq2CHJCg6HAWmmCKKMOCm4/WhCxbWwHT3UMYROO2k3PF650uX7P9+n3XBRSovprmydJZo93J8xDzNWWj5BnHFtq8HhMGR7tU6SFWysVHn1am9Jzk4yLTpBQQTc359+ImJnt+njuxZxWlCvOEuh2Hq3Ss23idKCLM95uD9lpV1BCMo1wV3+7CJMidOCRtU5c/8KIbi53Wa6SDAMcR5t+EvE/jB65ntBnCGV4oXtBlMB00XKPEypehaNqk63qLgGWys14rTQAiTHoO5rUmUhJQiBofRAslF1WWlX8G1zSU6YBilRWiz3cO34JDAtA8s08F3d6M9yHWGa+hLHNLiwVqfTdElzRZ5LahWH6Sxm52BGrWIzK12fql6D0SxmK80YzSPyQj1TG/iuRaPiEMUZvmfqPT/KGM8SkrTg69d7GEIQxrkWZJ06PTRrTxoMj/sLcqmoVmy8QmlniMttolinmDSq2hFvOA2J0xxDCI6GIUpBxbM4GATUPN3AqVVs2nWvdPawdXPHNlnrVNhaqWIKg2+9tHamwXF6v3Rs7cyX5jlZXmiXQctEqJQwSalXHGZBytZqlY1elck8JkoylFLMg5S+HbLWqWIKGE4T6lUbz7F4fDRnPNPNr53DGUlSMA1ispJ4s3M4186/H+GU67kWr17rLYllvmvx5p0+d3YmpHlRDnltXrjYOTM8/7zguxavXOuxCFOqnv2pSL5fRZiGyWyRIqWi4tv0xxEVzyFMcmQuyYrPL4lDSbANgZKSq5ttfM9hMI6YBQkKVbo0mhyOAhzbYKX1RCwYJTn3did0mz6FlPz0/SNeuNTWCYO5LJO/TL7+woquP3wb2zIZTiOyXGIaBlLpf5/en05gWyYvX9XXreeYn4qU5JdxzydkS//U7959POb2ozFQusHcPuY7t9af92c+EwqpmMxjTMPgx+8e0B/rNf/1949ZbWvB2WmkWcEsSPFc68z93Ky5vHKtt4xlPq+5z9Ft+lzeqDOYxDi2yfFYDynWuxWGU032KVTBeBqTfA7BR0kGs0XK2/cGOLZFr+liYCCFpFF1adY8Hh/PsSzB1c0m8zBbOmR9FoRxRhDly/2w3fB45Wq3rH/t555zn0bNt3nlWpcrmw0tgAa2V+vLWvxkXat4Fkoqbl3pnLtYn+PXEpNZhnY+1QTq4TReJj1MFzo1TrucKk6bmyoB7bq7JG5OAu08h9Bk7msX6syDjHbDZbZICZN86T53kgQ1W0TlGVzp2sQxMEq3fik1IdMQWixiWway0ElAlgEXVuos4pxWzWXnaIbjlPeeZfIH39jg0VHAzUstgjCjP0m0wYyjCd15LnFsk2/fWuNnHxxR9W2ubbe483iMICcvJPv9hb6fM02oPEml2OxWsY0ndYVZOuIVhR4UHY1ChCFIspSHhzPqVYckLwjClKI0cRHAn/74sR6SKjgYhLx0pUOSSXzHYDANqXr6XHAw0Ol1oEX49/eneCU5+3j85MyXZgV3H0+Yl4J5qdRSnO7Y5pkC75P0gk8Gq69c6zIPs09VLx2NQo5LEnicRPiu9bHC8HP8ajCcRvzpj3fYG4QUpSP0CbJT4gvT1C7QSiksAa5nkuQFlqVFHUiwTIEwQRXQqjvEcUEuQagchFie1Zc7n4IkzXVfrfy+EALXNrAsndBd8218T685rm3QXa/TH0ds9CocjEIsQ5BLLd7PMqXJwKYBSrtTNiq2vtSVIksLZmmCMvS68PR5AODxoU4hD0pX6HrFpuaZ/OyDPlkhmQcZWabP38NZgu9ZxIk2hxgvnvRPR7OEVs2l1/SwysTPXtMnyQpaNRfLMs6kbDq2SX8c8fO7fSq+jSkE9/amn5ooGCf5mdroxUsdnR6sFHcfT06td59OVO7aJnlpAiYEz33vznGOE3ySeeNnxWSRLMWak0WCaemVperZWuxd9uZvbLcwDcGtKx2mgU6OONtnE3TqHqYpqHgWVc8izRUXVqsMJgmLMOXmxRZZVvDqjS5/8uNdLMvAd01u70z4xs1VhCH4/pt7S8KSUnB9q8XGSo3HBzMsU3DjYofjUch6r8JoFjMLUizLIs9zgijDb/mgcuIkR0oD3xD4nqVrqKwgTLLlWqnNa07NOk/hpJ9pGALL0IZ6UmrX45NeqSz/R6cp6vSMICtACGq+g1Sa5K5QOIbJaten1/J59VqPl692+cl7RwwmYwQQJZKGb7O+UmMRpEglaNY0aW27TCzOcokCxouEGxdarLR8DkchFdek22ry3v0hliHYXqsTRjn/9e9dxfMc1rs+lbL2ubrV4L2HI+oVZ1k/bPSq7BxN9b5kGKRl7/jDNPJZodMLuk0Pw9SmNqehlGIy1+vlSb/2HL9ZyHLJdJFwca2hDa0E5LkqZ4hwbaupZwi+Q5RmGIbBfj/Edy3qFW266DkGYazPLkopbTIxjihkTpblvBWmNCsO670qpmHwj3/vKm/dPcY0jlgEKXGaL1P7TmYQQogy9UyibBPTEPQaHg/2poSxJqsqCZapUFJRCHBtAyX0datTBwVS6iQbzzERhqHduKVCKQOFwLENpmFMmBScyORNAWu9KiiJMAxmi4Qgys+Y+UgF8yAHoYjy8rUDd3cnXN9ucGGlyY0Lbd2nMQ0ubTQIopT3Ho545WoXBewez+lPIo6HIYYp2OhUdBJh1+fqVpv1XpVm1eWoNBQ0TfBdmzDOkAosKTAN42NrENMQ3Lqs13vbMj42wezN28dLA8o74YRu0+P69oeTWn8ReI7FK9e6LCLNNfF/hXOKqn/29f8ykg9nQboU+1670Prc//5vAjzH4u9/9xL/5s/v8u++/+BcxHGOryyi+EmNCbp/JaVa8o52jxfL83QQpriuSdXThsw1z1z20mShcMxnC74fv3NIUeh6zjAEdd9mEWU0qzb9Sb6cb2Y5jCYBh0PNQzMMteQImYZAFlrknBcS37WwhE5fipKcRtVho1vBdy2STLK1WqE/jrRQ2hA4tslorvlRSir2hwn/6//qRd68M+C1Gz3+v//l/tLE8b2HWmBxwimyDINv3VzjaBriWiaH42BpvKmU4o07/aXIMUpywjjDsQxMw2A0jXj5cotqRe8xay2XDx6OiZKcNBe8dW/IK1d6PDiYstmpPGNmAfD23QFxlvPytRVM4Of3+tiWwVq7wgsX24zmMZ5rPmMA8/S+9tuvbZFmBYWUz+UFnsaJCEZKMEzxTCLIaXiOxcW1OkGZ3uU5NnnZG/YcC8sSHznLkVIxnscY4qMf5xxPEKc58+Dzmb19EZiHCZQrjokgTL58+Q9J0n/mey9ufbo+4a8jfgFf6C8cUup8KHHSk/kKz3XPWVefI55Hjm03PC6s1hjPEyqedcbl/QTba3XtxpsWdJseb98bnPnv80gXVKedWrdW62W0r2AwiZkvUt57ONZE4HlBzXd45XoPwxC8eq3HowMdj1b3HPKiYB5K7AKEMDFMluRPQ4Aw9UZdKEWcFGci2wtZOusnHx6HZAmBMg1sx0Cm+uC6CDKKAnzPIUz05t9uVIjiXBeHVZuD4YJFmPPwcMrVC03yQgtWHkpt57e1WuF4HNNu2IxmOjI5TgocW1JICEVO1bMxTEon8JzZIqZaNmQB0rzgzXtDTAOiRDv8FIUkLxWucVbw3oMhb9/XjdbBJOalyx2qvo1hGPzBNy7w+vvHAHzzxdUlYWQwCflPP95ZulL/4be2z8QJn8Z0kfDBzpiH+1P644hu02M8j8nygkbFZXutzkaZltEfRzzYnwK6efLKte5zCS6XNj7agcEytSPHew9HLEK9ga52Kjw6nPHXbx0A8ON3LP67f/LyOZnsV4xW3aVRc0jSgppvU/VsLq01iOKcwTRivVvlO7fWlj+f5gWubeK7NlkuORqFxLFO1+nUDNa6VWzLpNP0aNZ9XGeGaQqOxzGLMF3G9BaSkuyrDyACiVL6YCKETrdJU+04pQVOGeNFgu9YuI7F9nqdvNANRZQil7rhOJnHzEPd/AyTXLuCWyZC6MPZxmqNZsVhOIs+dCASppKmKZ9J8DB0/5UoyXEdk/5UkymvbLYwDIEhTO18JSL6kymWIUjygprUwgjtyAt/69VVNlZrrHerOqUjzZful6dxEt0uhMC2TPaOA+K0IIxzNns1NrrVM0Iu7d715PfPOhF8ND4sXrjq2zzYn/LugxFZ/mQY0q57OLbBK9d6TOYJ9/f0OmFZBq9c7Z65jw3j/MD0q4BtPLt2pplEKsUsKri9O8OyROnwJLi61eJgGLDfD9jo1siKmIpnsdLS7lVRPCSIdZGqMAiSjCQrWG1XEIbBYKobFbMwxRBwYaVRRnhKhCHI0pw4Laj5Lq5tEqd6kBElOUoqttcaXNls0R9HJGnOaqeCMrQbXS4VuZQ4ho7ejlPtshmEOXmhUE9d2rK8WeNM0jUMilJcOprFRIlFq+ljHy+YLGIurNWp+hamaXJ1q8HXrj+JJBxN9D1d812kUtimwctXe5jlWjGex5iGFoMUhcJ1DWzLwLEN6lWdApRJRavucXm9jhAGs0A7AI8XCYXSMelHo5B6xeHB/ox/+Y9eOuNiYZkGnYbHfn/B7vGCPJflkFhxOAz0wLeQ7PVDokSyczSn4tq0SrdhIQQX1+soqaj6NvWKvocNQ/Dy1e4ynU1KxeOjBfMy8ajmaxcyOImc/OgDu2ObZwSjo2m0dMFYhCkIg1bNIy/kL6XB79om7qdwFv0qwzAEt652ub83xTAg6VbIpURNOLF6PFNrfxYodH0rSXj9/b4+OyjdoLMto0ys0q47Fdd65uwSJbr5t3M4ZxGm7B7PaVRdZmFCo+7wzRdW6TT05y6l4r2HI0bTiJ2jBULog/XWSo1O3ePla92lE+cJbMtYpvB8GtQqDr/9tU3evT/EdcwzIo0gPksMiD4PlvtTkFLx3oPh0lH7YBBgniKTRk+di9Ks4O37wyUR69qF5pn79Vc9VDzHrz/+9rcv8qN3Dsgy3Rh/fDwvyZaCOMlp1jyCqCDJP59GaKEkg2nCxTWbesUljDNc06JT13tZnmsR0tv3dYS4EPDi5c7HDug/DJN5wu3HY70elfuh71ofWv9+FDzHwnOs55omXNpooND180rLp3EuXj7Hryk0/1lowpDSRLxFlCKEIIyzpUjjmRRyBZ5r47kQxCmeY2OZBoYwyIuCyVyvEcNpTJLpc6tlFlzo1QiSnCIvcCyD4TRGAVJJqr6JY9kUhUSgmIXZklTkWYLMMJAK2lWbMM6RUjGdx9p5rRzqCiFoVn1evV7Bcyxu70wZz/TQdK1Tpd0UpLnE9y3+H//xg6UI6617Q164qFO8wjij1/RLt3+DKM44Hmmx9t4w4A+/s41pGLi2iWUKhtMYKRVxnGuDmkJiGQZBlPKT945QSotSXNdEKYFpCOZRuKwTpCzojwPyAnzH0CmEafm+55JCyrJPomuXk+HB6qlkyzQr2DmaL0muWV4sRRy+a3Ftq8nhMFw6/j+N9W6VNJcEUaYJ6KVrrG2ZdBqfri93csY4/dzO8euBsOx7p1lOoTgjTAb9NQoMVbq+S6VdJQtFtRT3D2cJtlLLvVNKLcIqVEGSadMVpZ6k2xqG/sOWKQjTJw+mlL7vg1jfH7ZlIqXCtX2KXJYkSe2E2Wv75IXu583DlCzX52rT1GfwRk07S3aaLj99/5jJPEEpSZorLEM7YNa8s3VDlkt2jwOSrGAwjSgKRRIXICdMFimWZVAU2nXtROwSxRlKaTf/Tt1jUNXJnUopPMckySXtpkecFhwOQwxDsLVSo+LZXFw/cd40UUrywaMRB4NAu8+v1T9Vzw703OC9h6NnaqN2w+O3bq0xD1I+2BnTrDpkmSwTTj7ZvXxtq8mjwxl5odhcqX4ices5vrpo1vT8aDSL8V2LC6vPn0F9Fqx3qlxYqzGeJdR8mxe29X5982KbIM45HAb0mj6vXNUEB9N89qy/118Qxtr93pCCeZgRl/twGGe8dmOFv/zZHnkh6bV8klQyC3VSdVgaybmONpkqCsXtnTHH47h8PD3sUwiiVBJEKe26q93hFbiWRZImGEL3NetVRxO+0ClESZpjmRZFoXSqkWGA0H3IWsVBKUWaxWdMbFxHYAptXnGSrJoXiizTZLVnUM4j4yRDmAYChWno/vH+ICBN9WvcH0gub2h33+kiYedgzvEkIs0KhACrVaHimIymOildJ2m4rLR9JouUSSlwa9VcHlk6Oak/1mYb3aaHY5nkSuFYJk7dZHO1TutUckua5vyHH+0QRrqOjNOC126s8B9/9IiffXBcJv8GXNpo8M2bK5jPIfWBXuMNIZYinqfX2Af7MwYTLYZtVKOPTHI9x5cPeSF59/6QpKxB17oVBpOIMM55fDRnvVOhXnVY6+ie6PFY7+c1zwGhZ+2WafBPfv8af/KjHQ4GATcvtXnzdp/hLF7OLD3HoG9qomm3KXEsg2+9uE7Fs/nPP3lMo+qQF5LjrHQhN7V4NU4LlNQ1vutY9CcxeSGX6WhCgGEYOj0Ig3rNwcwKPUdBEz/zXGI7FsIwSLICA0GmFEkm8cq0w5PXr9AtX8vUySOuZTKPUizTWNZ+ULqkC0DoOUKSSqRUIPS6NJllbK8p7u1Nl8TbJCt498FwOeev+hbzMGMyizkaR5iGNoC6ud3i1tWVJSlzHqb88O0DZKFN8K5eaCLQ5lejaczF9ToXVusfW7s8b73/MDzdo326h/t5wbFNOl8Ar+HqVpPJImG/v6BVc3ntF0x3+yjc3Z0AsNmr/lJEIr8p+OPfucK//Yu7vHGnz87h7MOd5s9xjt9gBHECwkApvRdJKbm7NyWMMi2iEArHMSgKhWEKXEtQSG1YbJgWR6Nwmfp0kuJxOjX0RPgHIFTBeJEgJQxnMaZlUJQ9NWHANMyXvJVWzSGIc5KsIM313no41EaNQZyy0a3q+iCXeK6FYZhUKy5++WCLSNcAqkzYDKJcp/Hl8PBgwhu3HZSCN273yTJtcqiU7q1d2WzoNNRCce1CE8e1lmlx7z0cEaUSJXUdswhTqr5NmhWaJykVVVvP8KRSSCXolbPROMkZzxOK8jmKfkCRa8Po4TTmpau9MzzBf/f9+7xzfwjoNAzbNBiWZo9bvSoX1urUa5rL1HsqUeq7L2/wI3VAEGdc3Wqy1vnoFKzT+Nvfuci93SnTRcp6t8L3Xt380J/1XYsbF1vLPqZrGxyNImxLz1eyXH7oLEcpxQePxstaZaXtf2RC+zn0/fTug1FZ98ELF9tfOiPe0STicBSS50qbG+9Ov+in9Kmxd/TsvPO/vHuP37t17Qt4Np8fPuTI/muN65tN9voBRaFwLIMb260v+il9YThnj3xGDCYRj4/mZURs87mRVZsrteeKN04gpY79TbKCNCv49q01fvj2AfMgoygkq+0Kb90bcG2rudwYpVQkWcFoGhElOdPSHScvNBH78fGC9x+N6DY9fvROxn4/wHMtjsfBMu64XRXM8oIsU0uClyn0ALnimSxCnYCRnmq4VVyDOJPPuHDDkodGmheYhoEp9O8FkR70CkMwDxKqns1wGuM6Fr2mxyLKyHNJq+6x0vKJ04Ifv31AnBQ8OpoxW6R4niZ8bvQq3LjYpj+OOBoHTGe6QFSAZ2syR5IWxGlOs+qyuVKjP47I84J37o8YzWMG45D1bo08l9x5PGGl5TMPM2aLBIkiyXIGk4Q/+dEOmys1Ok2Xq34LgLVOhX/425eXrznLJfd2J7x5p89wGtOqaVf/RwezZXF2MFjww7cPUVLy2s0VDGGA0sPsvf6CWZgiJctrZDCNliKO4TQ681izIF0SVo5HIXv9BZZlnLk2PgxJWiwbO6Cv3RPnYtANlPt70zOE2tPoj0P+6ucHpHnBK9e6vHT54xMGzvHx2OhVmQVpGSms1xPbMvje184W0lIq7u9NGUxiposY37NIFwmWabC+UuVwGDALU7ZWawxnMcejkP4kpFZxmMwThIBOs8JskSzTOSxTCzri8h4vJJiGxHNs3YTMtfOUMARpVpCmGQtLC7zW2hW+89IaP/2gTxBmFEmGZVmlS44eiKgyZsOydJSwThhRDOcxQZR9KGlVSbAsC8vMOc098F2LasWmkJLpIkdJuPN4zK0rvWVS0c7hnOEsKoUuVkk+j3FsA8u0WO9WqPseW70a7bpLfxpyb3fCgW/xr/7kNv/iD69zOAoYTOPlYMkyDaSUer0/XmAagkWQUqvYS8eZu7sT4kQT5BdhyniR4Ji6obvWqZwRWi3ClPv7U4pCsb1Wf+ZAdhpJWiwHL6DvQx2T7JFmknmQMji1TuTlOvFRf/Mcvxz8wTfX+L//x/tnvpfmEtPQjtdZXpCmquzi61i4NC+4damFaWong9+6tcYP3jogTQuqvoPrSuwyGsu1TIoCfvTOAa26h5IKu6PFSRdWa1xcr3Nxvc6tKx3+n//pA6aLhMkiYTRLqPg2iyhnNNfpNle3Wrx0ucPjozkXVrWzwnieUPV0oo8Qek/1Xe0gW0jF0TBkGsQEcb5MpDpBIdWyWVGUB85FlAKCVr2pna4UXFxrkKQFk0VCs+6SZJKffXBMlhfsDwLmUUqa5aTl2vP3fusKL1/tsnM4YzCNebQ/KweZuXbVM118T0ev57lke71Bq+aSZtqJVA9iVCkWE2z2aktBFECSF3zwcETvta3la9nrLzgahewez+k2PMLSbfjCao2/fvuAKMmRUjewkizHth2OJxHfuLnKf/7JDrNAHqSZ5wABAABJREFUp3T89//0FeZRthxQnrhQrHUqumbLtLtHzdfik+Esptv0qJQpLZ8WnZaHaRhkWUGcFszDmAf7U8IkP3dp+oJhW4YmOJUDrv5ayJ/8aAdZJmBlueJDtsNfCLkEleQUhSSIM1Y7VYRSZWqLfUZY2aw6+J5FFOeaiHSpzdE41KJHQ4s8s0Ly9RurbK3WlrXtSYPp7uMJoO+zg/6CeZRxf3fKjYstLm7Ul6lvnweubDafafwNJpEWac1jqp6N71nLmOJHBzOGs5iKa3HtQuszudnGab4UcIAW6c8CTS5p1102nnK6niySpYADNJn241L6vmpYRBkP9qbkheTCap2V9lf3/Umzgv1+QK9Vodf0OB6HywH98TCgkEqfl5+OwfwsUNAt16SskCS53pujJOfCao3ttdoyCQA06XM0i39hEcdwGi2nPlJqx67PU8ik3SQ/+bn4HOf4otGoavdhVWhhU73isFImOtmmFlQ/D4aha9WikFQ9C9cyGc1ihBBsdCtlnaoL1TjOSEoy9cSI6c9icinLJI+CJC800c41aNVdLeKQiuE8Icskpilo1dwlyW86jzFMA8cUengb5YSlw3Kv6WFY+uwbhKnuU8Y6auxoFLDS9nRyZj/gaBggSneG/X7Ai5c6KAX1ik296lCUa92D/SkSvf6YhuBoENBt6/coTuRyPWrUHGaLhLzQPcl5kKCk0s5NQvcWTlxwt1eq9Kd6SFrzLC6ut7BM7cz71r0B47kmht7cbmOZmhTvexYvXO4QlL20zZWze/7p2HXrqVojLUncWlDy7GdqGOK54o5fBL2Wr3ufhf7sVtqffKj7m4zDYcDBIPhC94eNbpXLm3Xul8J+s7SgPLnPT/pihaS8dgH0+TrL0zLNUtCqOwghqPoWEi3KPjFekkoblpxc7zphW2FZJm4pgDgxSal4NtMyJRA0+TGIc6qeRbupUzXCOOP2ToxlmVxYrdEfRTw6nFFIMIR2aq76Ft98cZUwzpapOWkGeZ5hezp1K33KtWUWJKy0fG3I4FhkWQ6mICrJ2mGcYQiB52ojIts2ubLZpFlz8F197p+HKcNpTBSkLOKc9YpN1beXa4eUiof7utdyPI6o+haduk9/EnIwCMr+oMl6p/KpUytHs3h5LysFo+mT2sgwtDP2ydBdKm3itPoJ70XPtXjh0jmh+RyfHBu96nJ+9ElQSMX9PZ0e1ag6XN1sfmQSwnq3qpMUFNQq9tJczjQNvv3S2of+Hug15617A77/xj6WJbi+1SJMMu7sjPFci0bV4ed3BiRJjmUKTMPkcBgwmITUfVubQym1TMw2DYPttRo7hzNtQGcI3nsw0unDjsk8yjgah3zz5ir/7d+7yfXtFj98a580k9iW4MXLHSquzdEoYKwUljBQUhFmOYso1aZs6Nlos+mx2vZxLINZkBKXZDRDQLPqIKUgTjJQ2rTHMoUW0D0FpXRqUlYOR+quSbvhUqu4JWFNr3eG0GkBXhlv0R9HTIOY0SQkkwrfsXBMA9M0qHkmw1mOY1t4roVtWYRxgGOb1CsOdd+hP4l5fDijWXNxHW0O0Ko5eK7e/5o1m3/7F/cYTCPqFYffurWOAUsBB+h+9Ws3Vrj9eIxSShO2mz6vXO/iuRb3didMg5SKZ9Frefzw5wdEacHN7VZZl2nyVrvp8Cc/3mE0j3U6smPquSjaWf5kPnWO3wzMw3QpYADdk5sGKfv9BVGSY5sG9/enjGYxnYaHQOE5FnlRcH9/xuOjObeudfnf/uOXeflKj/3Bgt2jBT94cx9RJggKoYcqSiladQffs3nrbp/3H41xbJN/+ntXeXQ4Y/doVvbcLQxDpwoXUjuBZ7nkYLhAYJTGWSd6K/2/pmHgOAaLSK9DSj1xDjcMgzDRxpKuJUgKpQW4hULmBYahU4SCqFj2eVs1l/EsxjYFaaZAavdxgZ5XWLbAMS3Wez5BVIDSZnqLKGN7xefW1S5xIhlMZozLc5/rmMs5//29KUejBbMgI8ly0lTiOlqMkmaKjV6VFy9pk8o/+fHO0lijXnVI84K1tt5HVtoVLq43PhV58GSG4tom1y40l8mFp3HzYrs8vypcx+Ta1hdH6Eyygnu7E+K0YKXls/0x7uWfFN98YZVvvvD5izdOoHvvcP0rTGT7JFjrVPjuKxv88K0D/s2f3+V//7/85hf9lM5xjl85Og0f1zZKk0BwHJ0+5Xu25v45gr1+SFZo3sH2SpX+RKekObY2bwgTXf87pqLqW8SleVmn6RDGekZmGuBYBrZpokwwAIFEZw5rAWOzai45A0ejgCjOiBJ97p8Fus+xiHNc2+TyWpP+eEGc5qy0fC5vNJZpGpYpEGKxPIfXfJvxPNE9BEOLBU6MbFzbZL1bYTCNyfMC0zRY7/nMFhZV3+b6dovhNOLd+2NMU1CtWJgGyLIGaNc9uk1vuWdtr9b54Vv75FKx0ashleT+gSapX+hWMARE+clvK9K80GIPqXj7Xh/L1HVDt+Hx9r0h+/05suwzWieutWj+32svrNKquwgBa+0Kf/Y3j+lPI1aaPr/39S3+6Nvby895Hqbc39NpedtrdY7HIW/fG+JYJr/9tQ3COF/ORQ1D8Pe/e3n5u4dDnYqa5ZKNXvWZBN9u01/OMZOsYDRLlgazT/cZgyjjfjnf67X9pYAD9Dz0XMTx0ZjMkye94nL29mUTcUyjlDTTvGMhWIrAvkyoVJ7tE9v2l3+22Kh8+dJ963UXw9TnM8sytFH/VxRf3Vf+OSDLC+7vT0Fpt5V7u1Neu/l8AvxpFFIxmEQIAb2mz87RfHnoPhyGNKou/8M/f4Ufv3tMGOdcXNeu/Kdjvvf6C2aLlHmYcTwO0VFF2p1BAa5jEkYZtinYO15wPA5ZBCm2beA6Fmma69841XC0bROlToYRAmEIujWndL0S5EpS9S3CkR56Gughsu/qwcsJt8m2TNJCkqRgGzotpFaxcW2LONcO/UGc8aN3Driy0cBzdbPOtXWc2XSRsNGrsohjGhVHOwAvYmxL0G341Hyb41GIAdi2iWEIZCFxbO2ut9L2sEztLvijdw7wHZvxLGEwixBKkGaSaZBgWQZRWvD1G71y2KoI44zpXBOvslxyOAx4595oqcp9GrvHc2ZBimubBFG2JI7Xq08ILt9/c3/pzPejtw/57ZKc77sW37m1RsWzCcIMt2xy+KeaHZ5rLV0KgeXPxGnOw8NZee1J7u9NeeVjIuBty8A0xXKw5bsWzZrDqHRIFIKPdND4q7cOlgXYT98/Zmu1TuPLmMX0a4Z6xeFr13v85N1DNnpVlNLNt2bNPeNgfTQKGc1iar5NnGhS8deurXA4XNCfRLRrHhXf1KTKvQmdukeaFtR9m81elf44IE4KfNfEnGgXSSn1kLRZs4gTiSrTOJSSWKZFxdeOvMNZTIxuAgqhhzH9acT17Ra/8+omb93rI1AcT1NSoZBSiw8UYArtpOc7giTTpJI0U4Rp/uEiDuDlax0eHcw5GgfIQtGsOlzbbjILcuZBSpxLHNskyyQ/+Pke17ea7PUXbK/XqPkWx+OIXstnMNYEz0WW4lgWg2nMeB4jBFzaavD6B0e4ZSP3jdvH1HyL1Y4+tFimHkxvrzV4+/6A0SzGMmEWZBRlE/f+3pR6xVmu4XkuSwK8SZwWHAx0XHC96izvr3u702VT+/7+yWctGM3i0iXLZzSLOR4FdJoetq0bx9qBzCQvJON5TK3i4DomvmMx48k64X1Yrvk5fql458GzCnPX1ntyzdP3smmKMoJb0Wv6TIOIB4dzbDNite0CgteudRnNEm5ebFNxTXaO5rz7YFiKDVMMU+8NZpmS0Wt5NKvu8u97jt6P8kItScTtmsN4HmMbutEfxinjuSYU5IWkP47wbO24sbVSxbVNar6DYehCOU0ywiRnHmaYonT2lLoO0MW0Sa2iSVe2JbBNE892WOlUaNUcHTla7j/39ibL/fL2ozG+ZxLFOUlaYJmCesWmVfe4sFbn0kaTyTxh53BOEGe8/2gE6DpDoZ0zVtsV1rpVPMekXnWZzGOSVA81pVTYlsnWShVQjGYJeSE5mVPnuWQapNx9PF7edwfDAMcyKQrF8Tii09BpFkGULcUrQr98ar5Fq+ay3qmwN1iwWrqK+a61/Po0fEcnH7x6vcc8SAHF7tEc17V4+UqX7bU6tYpzhgz2SbHRqfFbt9aYLmLeuT/Cc3Ra02kx6Dm+OFzdarLS9hFC8JN3M31NCi3ini00AenzJGgrpa/vJJVMZzGViiY4vnSpXSZ2aUcX0zS4daXLItS1rOdarE0rOvEmyhhMY5ySkHh6b3lYJvwVUtfOlmkwXqSlG4vg8eGc6SL5VCIO3bzVhJITgt0iTFlEGfWKQ/Upt7GTc5hlGnzjhVXiJOdvvbJBraJr25Oo+VmuE0U+S9PQtsrzRtlUu3GhzXq3QpjkrLUrpLl2E/bLdJOnyenn+/KzuLc7WZ6PHhxMadacryyBY+dovjxjHQ5DfNdkq1vhXpyRZgVRmj/rxv8pcdo564SAYJmCTt0lTAuCMKNVc1ltV2jWXL5za50wfuKYBTx3IP9J8cu8J+Ik59HBDNDn4gf7s6UT/jnO8esKzzWp+w5xpgeWzZpLEOs6Wz7nkHxSGQohcG2IJEiVE0TgeRaWECziHMcURGmBYwuCKMcwDVKpeHQ8x3VMlITBONSJd5ZO8JiGObYTa8fpXNKs2oRJge/o3pbn6Lq7XrXJC00sFwIc1+BkabItg4P+nDiTuJZ2uj153kGU0R9rx/28kCR5jhAGAkHNN7m8odMEPcdie6PG7YdjGjV9zn2nTLVybC0qzXP9j20ZrLYrSKld+v7oj1/k4DhktVvl//yv32QwiQGFMOCPv3eRICrotjweHy/YCFKKQv/eyfsqpU4RrJeDm2mQcHm9xmSRsdKu0Kw55XlcnKlHTtz8gygre5FPav8w1mLFeajTBSzT+KU6TvuuxavXu4RxTqUU5n/VESU5O4dzQO8PDw9m3Lryq98fLMvgH3z3CkGU86d/8xilIMtyzHJzLtCulkVxJtgVgEKBa0iUEiyijGbVZVaeyU10qk9W8ExSpmWUPWDLgLzQxEOhiRlZKeCS5UzAsgxuXW6BMOiPI6RSBJEWdaw0PYIoY7VbIVeSo2EESuG6Ju2aS38SsdLSPXjL0g7VnmNScS3qFYdW7WzP2HctPM/ipctt3n0wAkOTfU1T9zYqvk2z6vLytQ7feXGdTsvDc3S6pRCCZs3lazdWuLc31S78StGfRNy42GK2KN8zKTkYBgi0+ZFp6v7E/T19bmjVXPJC8cLlzicWWJx+/idQSjEPU/7z3+wwD1NuXGiXxjVP8Flqp3Oc4/PG4TBgXLq9jqZ6vvA0aec0Vto+pqHJJL1WBcMQ9MehTuBo+Wz0Ptywbvd4we1HY6RUDCcx/XFEs+pgmmIpYNd7ruDu4zFWaVZkWwbbq3Usy8C2TV652i3d9+Hi2ipHw4jpIubB/gwpFZmSTBYJAkWn4TGYRrz3YMxKp8Jqp4JlGTiWnpH+ne9sY9mCjW6AZVr0J6F28o2frL2GUGRZztZqjSTNaFQcZBFjmFpwawoDwwRhGFAoTKHTO7JcYhnaUAN0/WMIMCwDpJ61+L7N1mqNimuTFZLRNCJGlMlfWpQxnscYAkaziNIfp1ynBcNZTJIprm01iTLJ9lqNVs1lGnrLs5xUCg8tujGMMsncNrl6oYVtmrx2o8fr7x1xNAqZLBKORxGtqu7dFkrq1wPLeV+r6hCEme4BK6h5LklWLEl1s0XKT987Ws533r435B/8rYts9mpYpuCd+0MOhwEAj48WNKsOa90nM5enk1vP8eWG51hnGg8CmM4TDCFI0oKHh7Olmc1wGmOVaTr9ia49LEvQH4bc3hlz60qXjW6VolB4jkFR6Lk/QpM3Xcfi8maLMMr4/pv7y+fwcG+KbepkTqlSTEvXJIVUNKpOyYfQYowkLcil0jWTbSILiWFogUiS6BQchSapnsxyTHSNJRWoMsG0KI3shGmgpCTNwXcFpmVRcTSBNU8kbs2hVhVEEdiOQZxK0iSjVXPYXK3zrRfWORwueP/BmI1ehTAukKpgOIs4HgYcDkPWu1VM01gmgg2neo5R5HJp7mkYOqGoWXHYXqvy6rUejm0yC1KK8sxzck7oNTThMs+lTgv5FD25eZiyd6yLrzzXic4npjqnsd6t8k9+9yqTeUKv7X+htdHO4Ww5wz0YBDRrLo3qrz+/4SSJ46vsRvxJ8d/80XV++NYBf/7TXf5Xf//FZ2Zz5zjHbzoMYGu1zmF/AUKnYtUqNmGUY1kG0zDBsgQogWVprkurrs/Hjm0wGAXLvkRRwGobwkgbLnqWwPZtXV/bJlGUkWbpMnlqtV2hWdfGie2awzySCPSam6Q5SapTdwV6DlirOKV5iuLR4ZSL603iLKfqafPUTsMjzQtadZeHBzMWYYphGNiW0GaUpuYcyEItU5+iJGej1+B3vrbJ/d0JvZYWSApD0G36BFHO/iDANAVmadxyca3GIspxbYtvvrh2Zs96sDfj2oUmYZKz0fX5n37Yxynr1+Npwlrb5WAU4zmaVzSZJzrlz5RMFtmS33c0ChlOY7Jy/rsIEqoVZyluVnBmRvv+oxF7fb3H7vUXvH1/wKX1Bkmm34+7jydLo8q37w+5/WjM8TjEMgXzMObmRd33muWpNrjhCd/geBQihP5653B+ZhYLeh77YH+K71lcv9Dm2laTo3FIp+E9kwZ1f2+6fO/3jhcIWP5t93we+rHwXIukNA90HRPP+XzEpb9KxLFOxSm9as4Iur8s6FWDZ773t25c/AKeyeeLOPs8rUN/NTgYBpw4ehVScjj66vKbzrvJnwGFVGcmLLmUH/7Dp/DBo9HysKjjxs/eREGccTgMqFccRrOE8TyhXTrjLR+r/P8Vz6ZZ025cVzaby8X+JF0iK+OBZ0FWumFImlULsEoyNqWjhMAotOBCKT1wzAuFaxtEiUGtYpGkkoprYRkpQiikAtMySjGEHh6Bjq6USlEIpYe/aMUUQuGYurA6GCwYTHXUbxDlXNtskOSSmm+x2atyeaNZRpyXG1iSE8Q5SiWsdKv0xzESTVY1BaSGoOY7ZePT0PHLQco81APajZ5O5GhWHDxXK4/X2hVuXe5gmXp4vdKucDQMWVgZhqkHWtpd/MM/15PPYXOlRpLpwdjVCy1evtJ55mdAk+p6TT3gCuKMVq3OerfKeK6TExzbPOMAsb1WRwBRqT4+KZDkU9de8QmIf6Zp8MLFNvuDAMMQbK/VubpR53/80SMWYcqr11a4sPrhBUJ+mj2kdNQy5yKOzwWObeI61hlHt0IqTs/dT66j/jhkXK4bVd/mylaTRZRhWwY/++CY8TxBCIGUEse2cG1DO+ILsSRrtGo+QZwxDxOUhDAuAIFlmojSvT6IMpp1F6l0VGsUZ4xmCbZl0Kw6CHSz63gS6RjEvKAoJJZpst712OvPKQrt1uRYBotIK9ALqSiUXgscuyDPS/f+U5ew5wgurTcRJUldIRBKsT+IlwRt0zSo+jbjRcJwGpPnmmTdqbt4rk21mhMlGc2GHhINJhGeay4Jgu8/GrN3HJDkUjuLIchNwYP9Ke2Gv3Tsti2TRtXBQDsV5wWlq6dYflbZ6Xsc7SiY5hLSYpladHodOLNXKD1k3uuHHJeE0/ceDNntL9CePIpuw6NesQljrdjXA6i8dN0yuFCuGXGa0236z02EOscvH/3y8zuNetVFFpJWs0K3mZDnOiUBpT+v4SwlSiWuZVKv2qR5zpt3h1Q9C8+xsC2PFy91eLg/I0xyJkGCaQhkoVOvLq7X6DZ9em2fVk2nTxmGwavXe9zbm2IZ2kmp1fCpT2JMyySKC/Ii5mAQIJWi3dCOUApRHrgFq+0K8zgjiLSb/6PDBa5tkucSZQpsyyIv8qU4sFv38B2L2M1A6BrbMHTUOOjhyAuXOuz3F3iuRafhkeU5Dw+m+K7FeJaQFQWNmksc5bx20yPLtJCyUXXYOZrrAW0hsQwDxzZoGi7tuofv2timQbfp8/6jMUrqBBTbMqi4Fkopel2fhwcz5mFMxbPxHFMPO4OU0TTmTw52qPg226t1DocBF9cbrHW0m3Gn4TIPfJKswPcsZJQjTE2K2ejVeOFShz/61gVe/6CPY5k45cKd5nI5cNL7vUu7FHJ5joUB7PYD+uNQk75a/mdyWVjtaEHOaJaglCgHOlrkc45fD5y4tO4czjmexJiGSZJlWLZBVZmEaUGWf7aDdc03SDNdo+sUPIizAifLqDfrXN5s0qxrkcFJzWca4sy11236vHq9x9EwoNXwqFe0CPF0kkRRaOH41mqV8Syh3dAJOON5iueYVH37THPw4zCaxUtnMSHg5atdslzywc4YlP7ei5c7Z1IATp/DHEsTTU/2v9N77vO+/rSwLYMXLrU5GASYZQ3t2CZtnoq9Ba5daNJt6rjg4Sw6816f4wlOnJgAKK/Xryqefu2tuovv2ZokYBjPEDN/EXiOiWUL0jRHSn1vHo1DKp52ptT1gEfFt3EdcxmNnebFMmHq00R1P42NXlWfL57aDz8PFE+9f5/1fj/HOX4VaNc9DNPAkgamaTKZa4MWAQTlv09cYW0bbMvCEPr8MF3oAVkQSzzboGJbKLTDPSe/F0GtapcpFgZRki2TdfJCYduaOCeEHvKmmUShyLJCn2MRhElBt+nTrLrkUvLixTYPDmZMg4SKa3EwCDVpCTgeRbTrnj4DAM26QxQVCAMsQ6eO5VJiGNBtVJgFumfxyrUVLqzViRI9qP3rnx8QJQV7JbmzVXeJk5yNXnWZCAJw66oebsZpzkuXu2z26mz2dKLFazd6/PCtQwqp2OxVaDcqbPR06zuMc1aaFZRSdMoEvOE0pll12RsEy+GjZQruPJ5hWQaTRcJLT9UgJ7AtkxcudTgYLLBM44yrf5wW7BzNn6xJZS3zy4RtmTRr54PSExSfcz34iyLLJT99/4j7e1PiJCcvJMVJGStAKJYJ00/DALIMJAoptUBflK7ReaFTd05SsU8LNgsFMpNIcopc/8eqZ7PSqmjhsWcQJ9pYxbFMKp5DvergOCaGEBwOtLO7bZkkWYFtGXQbHoswJc0UnmOSS8XhYMGlNW0mUK/YTBYpzarNLMio+jZrnQp7/cUyza/i2VzbalLzLGpVhwd7MzzbQpUCkY2mT6PmUhTw4ocIblxbi7+OhlqQ1ml4rLUrmIY2P6l6en06WRNP2m+tmosoRdnPIyB8EvRaPlmujaGm84S/+Nlj3n84QUrFz9rH/O3vXOTSeoMoyek2/C8FMfAcXx182jNyEGXc25uWiXwJrbrLT9491IR9Ab/72iaXN55vlKDTfxQV1+TRYYxSAqUUF1brFIUiSjJuXekynMZIpQijjG7D5+JaA6kUrbpLvWIzmETLRMy8UPyD713ip+8d8fBgRqPqkhX6rGJb2rBmNIu5uzshjDOCWJu7hFGGBN64PUAoQdV3aTdc8rzgaBRhGYK8TO8yLQOJ4O7OhDDR80hNAjeRpeHdLEg12dsUNKs2SikmC4nrmCRpoZOFS/MbJSUKgWkKgjDjeBhxacPGtU1W2xWieI4wTaoVmyjOiF0b24J5qNOFRTmznS5ioiQnyQoWUcrvf+OCNuFwLDa7VYJKxuZKjQf7M4ZpxKW1Oo+O5uSFotf0eLA3K41rEu2uDMsYKD2Pdfjuy+vsHM6puDbfvqWTVv7p713nP/zoIbPA48Jqncubug9yNHzS/06z4oxwNM0VK2299p2Qy06w2q3QaXhIpdhaqX1kEsw5vnzwXYsbF1ocj/WM27VNorRgEabUfFuLBQqdjrGIclbbPrWKzZ+/votXprTMw3RJeHx4MKM/jtharfPwYEbPsjBMg+vbLb71ojZyKaRi53COaQotFk8LJgudmmuaJkUhCZMcxzJJc21u16i4OLZJfxJqAqhhYxiCHEGc5LqfWhZUpQ4LzzVA6vpeGFpQUpR9d1OAMgQCiTQMZCFJC2h5BkkukYVClSnnNibdlk+YZFRcyCoO7brLSqvCcBoxnqfEWUEmJWudCkla8NP3DkEJxvOEaZjw3VubrHZ8Nns1/vRvdqh4NlIZzKIMgSjF8no9O+ldjmcxdx5PaFQc+pZJs+ZwfbtFxbV5826fPJdUfAvzUwirPs2eUqs4vxbzyqc5FE+fFX5dceckieM8af1j8cKlDl+/scIbd/r86z+7w//w37z2RT+lc5zjV4oyTxvH0RxAx9ZE/Pt7EyqezSJMyDJdzGeZ7n1d3mgQRBnbq3Ue7E1QxUk2KByNdd0oJTwexFzb8vAcnehU8QzGgUAVCmEYtBsulmUilTa3bFRc5pHek1t1l27LL81mBL5r0qy6RIlOZfM9PY84If5LpbkASoJAsQgSvQeLAscSrLQqBIk2ltvoVtjo1pgGCc2qi2OZzMMMx7GYLFIaNYeqp+vvJCsYjOOleU677vJ3v3uJ9x6M6TY9/md/eAPPezJj3B/qpCuAncMAx7GwTKn7LkoymGlTuzzPyAtJp+kxnidUPIut3tk5yrXNGjtHAbmUrHcqbK3WeHgwwzQMvn5z5cyMNn2qhj4ahsue7n4/IMlyTEPv2WGU8da9/nKuPF2kSxGHfo0evmstZzL9SUQUP0lLOD1XidOc//GHD5fGaweDAM+xUArGMy3MPT3TOb33G0JwZbPBuBTwbn/K1NOvIk5q5SDOyKXm5H7ZUHEsXMtYXrNV78vXkzbdVeDwzPdef3jANy9vfDFP6HPCZ+WafBEYTSNSTcREqmJpRP9VxLmI4zPAcyzt9D7RKqCTocRHIcvlUsABWsTxwqU28zBDSk3KtgxjGS1erzgEkW5GEsH339xbEvOCOKPimuwdz0kzyTzOWW15pJnCdy09lDUEnuOWMcSSaemSm2XaGV9RqiJLh3fPMRnOYopcNy/3+wFpoTd9gCQxdOz7iRI3lSSp/m+Opb+f5cXyMQoFhcxQUhEnBp5j4XsWszBDSsl4GpPkOn7Md2w2ehU81+bBgXbI8hyT0TTiwmqdimPx83sD7uxO8GztYpdnOoGjP4lZRDkItWwA130HxzY4HkeM5zry3LINmo7Hixfb3LjY5vJGg/v7UzZ6VfJC4lgmm70af/P+IZZpUqtYH3k43uhWtYtFobh1tcuty51ls+NwGLB7vMC2TMIowXVMrm41qVdd6tWzRM123XuuW7FpCC5tNJ75fsWzS+JtAkKLSD4JahWHmxdPNUxsk3/xhzc+0e9e3mzwZz/dRUrF9Qsteq1zF4NPgsEk4uHBDCHgymbzQ9NOLqzW2Dmc059E5IXk8IcB7YZ2xK14No+P5hwMFnoIYZlMFynvPnjEeq/Ct15Y5XAYsohyfMckjHOOJyGWqRXx+pDk0Kx5ND39352yGJQoDLQbb9W38VyLOMmZLBIGk5h23eU7r6zRrXr827+8V4owYKVV4dHhnPEsJkp0kkyaaaf+8VzHIgdRhm2amKagVXfIcsn+ICTLcy3OUOiN+NT7YKBJKo+P5swDLTIplGQ6j8uDm3YILVJJGC9KUYpbPt+Io3HIasun2/I5GkbEaU7Nt6hVXdY6FVY7VWzLZK+/oD8O8B0tUPNdk3rV4aXL3TKaWR9ET6LpV9o+zZpHEKWkuS6qj8chL1/t0ml43HmsB7dr3Soo7Sg1W6Qcj0MeHc4YTEO+89IGK22frZXa0hGy19IONONThcjeICDLdNJIUSgGk3hJ+Ng9ni+fE8AizGg3vOeuE78oHuxPGUwiXMfk5nYbzz0vFT4JalULhk++FoBtKhIJD/Zn2s3CEuSFgRCCySJFFopO3cW1bd55MORgEDALtHBTSlhEGZ5jMgtTqp6t47kLSWBk2KZBryQ5HI1C0qTg3/zZXcZz7WZ1bbNFu+FzOAx4dDAjTguur9QZL2IOBwF/8fpj3VhoeIxmMbv9AJRaRpA+3Jtqp7dycHkynDCEds3Vzk0GEri8WceydPpEkkqKXNJrerTqLoso5cfvHjKZxwynCXGal5HeBXGSE8QZSVJgCFWuB4rjcYAQggurNUyhhWBxWtBteuW9Img3dFKXaer7dDiN6dQ9OnWPQkneezCiVXf5+s0VNntV/irfJ8nkMgXtv/reJf7tn99jf7BgOk9A6LonTgviNKdRdbh1ZY00L4jKyNirW012jxbYtslap8L/7p9/belS8cLlDg8PZiRpgeuYvHCxTV4oZkFKEGeMZzE7h3Msy+BaKb5TUieyAByWIqBHBzOOxyGuY3Jju43naNfQ0SzGcy1uXmx/qDPW5kqNzZUa9Yq9TCG4sPbJ6oNz/OrgOlqgGCcZslBMg4Tsc0oZTTJQUul9VWjxQy4laS7xXJP+OOSDnTFhnPPSlQ4XVmpc3WouhYknaNe1eOP2zphFlGGZgtWOTuhIsoJZmPBwf0bNt7l1pcPNsqb+wZv7KAXdpkec5Pzk3UP88rr9qJSF03ugUjBZJGTZEzabUvrMdJpA+VHnsE7D42gUEsW5XiM+wmH047AIU+7uanebrfIeO41ZkJ4h4Y/nCd2mz0pb/3OO5+PCSm2ZKthtes/UGoVU3H08Zhrogf/Ni+3fWKfO9fI8edIL2FypYxiCWsXBcw3CVFB8RueUOCswck1CcByTWumcdTQO2erVqHg29aqDEJxJd9zs1dj86LDHTwQhxBmjgs+z1qx4Fq26y2Suz8WfpCdzjnN80bAtg6pnYlu6tj4azUkyVbpW5WfI3L5jlb5pAt+1CaJseY4+2VtFueenmSyFGwLHNDDLJKmu8BjPTvp2gizTaV0CcB04GOjHtExKcxRd9/fHAXceT1EodnsVrm+3sS1tipLmxTIlyBQwWyRkUuHaJr2Gi9WyyuemOBiEJFmB51i0arYWewoQaDJknORM5wlhnJ9xhNvoVskKSbPq8Oc/3WGvH+A6Jv/dP3qZ3//GBUCb0tzfmzKcRniuhWvbXFitIZVipVVhNIsJooyKZ3PrSnfZ21zrVM6coXeO5rz+/hEAl9abZVrvk7rkw4hHjapDo/qsOMMQ4NjGkmj/Ua6zp2uNzV6VKC0Yf4La/xwfjapvL/cH8TntD1LqZMnJPKHi2dy82PrY1JMwzrTr+TwqhVLqSTpW6fL8Yb48Jz17Q2ly5CxMMYVYOjieQACuLfQ6Inii6CiNXIRhUEjF3iCgZEKgSrFoq+7qex7BCxfbHA5Cxk7Mg/0pAu1YqYCqa9OoaQOI4SxBKYjqHm/fH/GPf/cq331lk/t7U/7yZ49Jc8mlpodtmrz+/hFv3unzwaMReSG5vNHANk3644jpPKbd9JFFwWSeIgREsU7f/f99/x4rLZ+Nbo2DYcC93Qm+Z/MH39ji8kaDg0HA3d0JVU8bN1R8m6pns96tkReKo1HI8SSkUXFI84Kv3Vzhwd6Uo1HILEyJkvyM4+QJPq5G6TZ1/+TO7phHB3PyQpviLMKMvaM5v//1Cx97HQE8PppzWKaAXt9uPZM6eI5z/CKYzBPu702RSnFxvX4mbWatXVmaIDm28bFJNNNFciZB+/bO6MnXSqdtPC3iCKKMOztj7u5NORgFDMYRcVrQa/pUXJ0sfvNSm6JQ7A8Wet9bqTOcRhyOAjzX5NpWk3u7E6aLFKUUF9fquI7FZJ5wOAx4fDSn4lkoAXmoSdmeY1BIWEQJ9/cmJGlO3XcIogzPtcjTjH//g7vEqSpNYDxubLe0cZtYLpdEsUTmCfNAJwSZhl4rgyjDti18V6djKwm+Y7LRq+GUKcOLKKMoE4tF6dSPAqM0gTEN2O3P6U8jbEto454yaWw6T3nz7oCqZ2un4qzANgXKLNO3gwzbKtPTJUzmMYZpsHO0wHUMvv3SGje225qInkukUlxab+A5FkfjgOlCi9r2jhe8eLlNfxLhuzYKxdWNJu2Gy43tNi9eOiuea9Qc/vHvXuWn7x3x+HhOIRXffnENzzWJkwLTFPzWy+u8cbuPUrqXvNF9cl3d2G7x+gfHhFFGs+by0qUOjc9gXnOOLw7jecyDvdlz15bTaDe8JbkvLyQb05iodtK7r/GDN/dI0oKVts/f/97lMvVF8Bev71KU/ZCVpscbt49543afJCsI44Ka57DS9rm82WBrpcoP3zpkFqS8eLGl66MgwTS1a3cQZ6SpxDQFrmmQFtqkMUkLTAGDLMI0DMI4o+Jp4zl930DxlKg2l4CUuLZO1MhyhRCKXBRo2QbYpiDNFbEEkKWdjWI6T3BdncYxmicEoU4l/8aNFdJci0HWelW+drXLnd0Jd3cnpGmh14QgR6BdzRehPsfYlsFknjIJEl660uHSRoN/+Q9e4v/wf/khj48WZFlBxbXICkWj6lL3HZJUlp9fKWxVmjB4ItQ9HgdEcU5WSGaLlMNhoJNRpOLCag3bMniw//y5drPqUqvYLMIMIXTv6NcdG70qi0jzcGoV+zOZaf2qMJrFDCYRQui51Dk+Hv+Lv3uTN+70+U8/3uG//XsvfCgf4xzn+E1Fs+YujQx816TiWWyv1bFMg8lC849kaZp2aaPG917dXM4k/vWf3f7QvyulNpkN4xzTELTrNrYhKErBcpYVPDxYUEjJWrfCCxdbZIf6iVxYrRCnhU7BMAS//XKXf/Xnj8gLhWnAv/z718nRyZ71qu5J3t+dav7CwkUJY2ns4jkGg2nEYBJjmQa/9/UNtlebZKWx42QRc29vRhhrLublZgPbMHAdk17bZ+dwzmAaIYCVToWb2x16zYo+MyjFO/eHS8FDkuS892hEkWuz6K9d63J3V6eWN6o2g0mCYRoYCOZBwtULbUzT0ILtbhWjNJHwPYvf/eY2b9zug9K9qcubDa5stgCWMxMpdX8zCFIt8DAFzarLte0n639e6DTVuzsTpIJO00UpnVSO0Nawo7neO3zXWhrOncC2DO6XQv1mzTljbtEfR0sBB8CDvdkZM5rJIjkj4jgRoqCg0/RYaVfOJBR/FKIk587jMUlasNqufK4cpy8LxmW/Okx0msVgGtNpfrnmyVe2GriOTSHLenDlyyfeGS+eFQp8lMH7lwVrrS9fj9EwzOVcyChNi76qOGdmfkZc3Wqy3q0sN+WPg2UKHNtYKiZ9z6JZc3ntxgpZroeaUZIvBy7acc5hNE0wDMGjgxmjeczWao26bzMNUyq+A2TIQAs0Vto+CMGtq93SGd/g2oUmD/dm2KZBnBUktiY221aCbejBbr3i6MGqbRKpgrxQFOVefdK8iFKJ61iYnliqT08g0Ju/45jkeaEHUTnkuXYCVmUxUeQKyzIQqSCXijSTLAJN4kySnMTVjhc3L7YwhKBZc5AK3nswoiibJtNFwvsPR3iuxUqnxv4gxHNNZkGObQnada9suNo6Lr3uUfULtno1NlerrLQrbK7UtNOpY/H4eE6c5igUaz2fb76wSqvmUqs6IGA4jc4UOSeoVRxeu7FCWg6kTxxk0qxYkrQvrtXJuhVuXekui5vxLGYRZaWzkMNkrp2CKp7Ni5fagOB4HFJI7d6TF4pu0zszYLqx3SaMsydE/V8ybMvk2y+tlfGq2hHxnNz90Sik4sH+dDnkuL83pV13nyFLgnbLH01jDoeLMk4wKx2LBGE8o133aNU8FvGcWsXm53cHZKU77rsPRny7dL7Lcolp6ka6Y5tIqdMvhtOY6SKl1dCPX6+4jGcphhS0qja1qstGV8eFPz6aYwr0MCEvmM4TLq7UeeVadzk03u8vmAaJJncaAqROwrBMA9syCMKc3/3aJoYpWG377A4Cdg7mNKo2sxBQClloR3sTlgQQYUCSFrz3YFhG/Eosy0QYgjzT7qDljAXQw5RJkKCkKskqWoimhCBMsqXwwy0HVC9darPS8sv7UxPKfMek1/JZ71Rp1F1uXe5gGAJDwE/eOyaIUq5daPGdW2vc352wtVJjpe3TqLr0Wj71isPmSpVHBzNc22B7rYFSOqb5zbt9Kq7FaJrw/qMhncYm690q7YZHUcjlPV31bU0+A9o1l0EZTW4IQbP+hDByurkohB7kf56YzBP6Y02IjRPtHvq8KOS8kDo5ROhB4Kdx6vlNRaPiAfPl1zXfotuqsHMwYzTLkVLSXW3SbRv0RyFVzyROBXkOk0VQuj+JZXTiZJ7qjVPYBGGG71hYliZw1TwbhXaTHUwiqr7N23f7PDiY4zk6jarqh2z2apimQa/p6vvDNTEjHbs9nieMprrRcTSKiJKMRlU3Jlxbu1/FSYGUCinBtgS+59GuO1xaq3N/f4qUikWc8/hogetYZFmO7dm4jrFkpMyDjJ+8c8jBMKDT9Kh5NpYluLbZ4G/eO0IVAtOUCARrLZ/+VLHVa9Cs20wWCbMgYa1b0S5ahuDqVpNm1aVacbix3aLi24ymMfMgJS8khiFIc8nljTqNqlvGgz4Royql92jHNljEmgSXZAVClOQ4Rw+NN1eqjOcp00XMfn/B/jCgVXO5cbFN1bO5uNY4s/c2Kg7/7PeuMgtTGhUHx7F4dDjjaBgQRBnHEy1IbdddHu7rGFZQzIKsrMFs3ns4ZDCJcW09EN05nNFr+QzL9SCKc3aP5lz7GOellXaFg2GAIfhIwWWc5AymEY5lstL2n7s3nePzx9WtFkGY8c79IYUqO6bP9d799LAtgZImaVZQKE3G1Ok1FoVUvH1/iJSKMMmJUj0UbDe8ZwYacZLz1r0B41lCs+YwXaTsHs8xDcF+P8AUutZOs4JaxUYIweWNJqttnzDOkVLx8ECvh2Gcs9dfcGXzw4dNVd9eXuegnYITs3jmZ57Gh53DLNPg5Std4jTHsc3PRP5/cDAjzSRRkvEXP9vlxnaLr99YXZI7n96Hq88hg53jWax2KjTLpMnnEej643C5bi/CjINBcEYE8JuERtU50wtIy+SnzV6N1bbPew+HRHHO8Tgk/QUFX6p0k5QCqq6l3a7SnIprU/Ft1rs+7bpLnOX84M1dHh/O+N2vb2EYn39990lrzU8KIQQ3L/5qz8XnOMdnhU6PsgmiAtdSDCYFhmGggKw4cW/WJYJtmvTaFUxLcNgPcCxNVDRMnVwVRBn1isObd46JS+KRKnQKRadZoVFzmc5j7h/MSBNJkudM5ykmlAJmuWyK54UWZLiehesY7B0HS3e33aOAa5t6r1dKLnuFUBLQDTDLHK5ep8KNC22EIbj7eEIYFyRpjmUZ2ojFMnVaWJItHeC0e7Vc7ueGafDm7T5RkuN72l1bi60L/sOPHrBzNGceJrx6bWXp0h3FOeNFTK+l0zaKQuI5JkrpOsIwDIShXVhX2hWmi4RZoMXyF9frqDL6qFX3UOpJ+ubTe/twqp3B23UX29YiWcvU/YaTnqDv2Wyv1YmTHMMwWP+INKOTWgPgvYcjXMfSjmwfU/sXheRoHILS++pvqtjxF4UQghvbLaIkf+7+MJ7F3NubUPVtXrr8/NSHpzGYRtpMB01W3usHXP6YYbPrmDSq2oQnL9TZql/pVGtTgDCETrpOCn3/G+BYBr4tcFyHrCT1CvQ6sXydQNWz2F6vkedy6WKd5RLD0D2GPJekpXO8IQS2aVL1teHLPMwYTiMU2gDANASubbLe0edh+f9n789iJMvz+17s8z/7ObFvuW+1V/Xe0zPDWcjhahIa8V6ChCzwSlfAtQHSuIBfDD1YAAHZpmCAevKLgSvIth6sC13zQbTEqyuLIqUZDkfkrD3TPd1de1VW5Z6RscfZNz/8T0ZVVlV3V8/0TFfN5BdooCszIvJExDnn///9ft+FHEtXeeFsE2dXo+eY9Mc+YzfCC2NGrspbN7ucW67xH7+xiaoq5HnOja0hIFBUwbXNPvt9j7Kt8+a1Q4I4wdI1pn7IwcCTvXFbmhU1KxbDacR7d3o0KxZ3d0dMXElg7I98/uM37vFrP7fO2A2pl03G05CvfX+H3/i5daZexA9ud6nYBmVb47NX5slzmYh4ZrHKXndK2dbQFIWbWwMmXkR34LPQKrE6X+Fw4HF1sz9zwbxfXH8HfRdyWWfvdKdSGGbqqIpCloNSfKtplrN1MKFaMijZ+vv2zKa+3NuC7EXc2x/zwvskj5ziFB8Fd3Yk2SnPc9660eXiWp35ZgnL1LBMjVfPtwnjVM72PmQinqT5jPxTsnUWWiXZpyzwJFLkvf0xvXFAECbUSyYUa6lcg+HcSp2SJWd15Dl3dke0ajIB+zhZ88bWkDCSad6TwpG/UbHIyRmMQ4QiMHQNy9RZblfIsgTb1Nk+nGKbGmGccmd3RLtuM9e02e9NeffOiDCWhLUwSZn6Md2hT6dmsd/PSdOIJC1IAoXIjWKvE8YZjqlgGoLRNMLSBHEmCWSGKqg6BoqqYJuqTD7LQEFgaELuQRCUSzrdvo+Mtk8JQtmnkeJVSJKM/Z6HoUmCmWNoTNIYW1dolA38WM5p8ywnimU9NSrSEjv1KmM3IowShpMQNwiplSxadZOyJWe9fphSK5tMvIhXm21+77deYeQGNMoWiipwLP2x2eRxHbi5N56ZL/RHAdfu9fniK0uEsTS4CsKUX3x9WZK6Khb5Q4msfpjw2sUOQZhgWzpemJyKOJ5T3N0Zz9yWN/fGNKvWh+47NVXhxbMn+3LHffM0yxhNQgajgGbV5PJ6HTdIOLdSYzCVBhcTL6Q/CvH8SPbNSwbX7/X5xg/2KDk6Ezfi62/vsLZQ5dJ6U4o2NJU0yxhOIkxdwbY09o5ckjQrEns0oiTD9SKECkKolB2B58v+aCieLKwNwxhNV8nIETkYipCkTQVpQPMQZk9XpNDBDSK5xwPyPOPmzpC5hkOjatKu2QzdiHbdYbc7JS6Evoau0aqZ1KumJPEXZFPLVFEVmRQYhAnfvnaAqkjTnTCSZlsCeU2XHDl/ubc35tbWgDiVtVEYS9fz/ihgr+vOEnOG04i7u0MsQ599z3mWz/Yvj861FUVwZaOJH8qk9g8TNT8LkDycNnGSneByPMt47650jNtYrD6xd3qKx/HSuRZXNppc3ezzr79yk9/7rZc/6UM6xSl+YrAMjbWFKnkyBE2w0qkwnIaQS5Npz0+k0WSWoymCNFNZ7pSZ+lFhovLBr58Lye/ThGDiJcRJTpbnZJlgfyDn8IqAqRuxdeCS5VL8HMYZr5xrEicpFUfnb949Issl/y0H/uzbO/xffv8L9IY+a/NV/qc/v0Z36JJmEEYJVUcnlXQpgiAmSaSBjKYJ3rzW5W9/4ZyscXSVr7+1S6smeQyKgDcudmQiZy4Fh36YMJiEaIqCbalsd6dMvRhTVxhNQ4xiPZPi+CFpmpFmGRM34LMvnueLry4BMkX5nds9LFQoUk8qjoFjaqiKTD9+5fyDeY+iCNYWqsSxTD2OC+H18Tp+NPT4/o0uYzfGNlVW5yoYusL6QhVNUWY8M1k75EUPE/w4puwY6Krsszq2QaNsUjI1NE1hNI1QhJhxEls1yWlK0gzb1E5wAmoVKbw9Tq5q161ZwqFtqCfSh0GKTWvl95/veUFMbxRgGdpjZnf398cEhXnmQV/2hJ4HceXHCT9KcX3JtQ3ClIkXfcgznj3kQmGuYTJx5fVYqzx/36GS7D/2s1rifgJH8vFiMH3+kjgWWw57R1OyTM7GngeR+I8LpwzsjwEfpXgSQnB5vcnukXvCCUwWurIgLtk6F1brdPsejq2z2Coxmh5KIvbEZzSJsE2NiRtRcXQUIVAUMXPIni8Gh1mWY+hSsRRECY6toqgKaRgz9aQTTbtmk6QZtbLJSqfMW7e6CMEJR9mHkQNZlqE+gWymawJV1ciznDibmXvNWneqIvD9lChJqZYNfCGHUkrRHBFpRhClHI0kgfHWNMTQBS+da3HQD8jyDFVR8KOMaRCjqApxkpG3c1pVE0WV4phq2eDKeoO7u2NKtkajYqJpCnGcoqoK+0cetqGxczglLQifcZLJFBRVsNqpcG65gRfGHPY9PD/h9vaIOMlYeIKTr6Yqs6ZVmmaoqjKLYjuGbekzAcfR0OfOjlTq7vVcNhYqfPW7OzIeCOno267b9EcBvZEcjK0vVDnoe7x0tnVCOPGTLNzzDBxTh2L9ffQ9nuIJyPMTrlX5B3xmt7eHHA48xm6MG8TYpnSTy/OcLJOuT3s9F01RmAYJrhcV8YcxfjBiqV3m01fmefPaIUmmsTpXYTAJCcIUw1CYujFCpGi6ykrboV62GU1lrF29YtKs2TSrBof9TLrEJPJ4LVNSMe7sjoohbcLUizjoe4VABCxdoVM36Y6V4rghTjN0XdCoOSy0y6wv1hlP75IjCdReEJMLIVllD30saQZZnnE49JHzAkHZlo3aUpbTH2eyoVk4jR/f647j3JMskwkGblhEheUMJyGtqsloGnE48Hnj8hz7/XKRIpLQbjg0qyYTP+bSmSaOJWOU/81f3uL6vQEAVzcH/O0vrON6NjlilpyTZTm73Sl/84M9/DDhzs6Y4TTijUtzaKooBlMUj33wVk1dhYdIBGeXa+x0pyRJxotnW9w/GLPf85hrOJxZki6Dqqrw6oUOhwPpZNqp2x+7kOrRc/T9rvNrm/0ZWWY0ibhy5nH30Z81PErk1XWFg77HxEukkDGD4TRgba5MlstY74pj4NgqXijQDenApmsKhqahKBFZKgtyVVWwTJWOZhEnOZWSIRO6kEktYZzSH0tRlYJOGKdEYYKqFAJLXaNdV2lULJIkoz8KCKJkloJj6AJNCAxVoFj6LPZcUWQUt2koVEsG7brNhdVm0fQfSKfMMCHPcswkxQ0SkjRBUXTpQtdz2dqfFKlYHlGSUXUMkiynVbUxNBVF5Fi6jm1pnFtrcElpUSnpTLyYIEroDnyyXLrlhklG2Zb7HqBwhBoxHAdkmSRNVEs6c3WHesVk7Ibs9ySpqlGxyLIM29K5uFrHMnReOd9m53CCrgpKlk7FMaiWDGoVk90jj4Oey9HQ569/sIuhq6hCsNQp8eKZFstz5ccGVoah0X7IZbc38tkthkW9oU+7bgEmaZ5jmRqL7TJhNJbfRQ57Rx77PZeNhSqaJsU2j7qsftjSm2UZf/6te7Nh92AS8huf23jscXGS8d5mn6QY1vhh8jPpdvGTxPFn/amLcwgh49BtQysS+j6ePVUQpRyvLKoiXSANXcU0lILMlRPF8nzLc+k6vbFYpV42pQAqShCK4J3bPfZ7LqNpRBAldBo2N+8PqJZMdo+mDCfh7Py/cW/IfLOEpio4loFjGRwOvBPHJcVgD1KuAKIowSiul4VWiTwHN4hpFA27tHjO1I+ploz3dc56v72wjHX+0ffJeRHf/L3rh4Rxhh/K1LFffmMVkEPAcys1BpOwcP99NpPqHv38nwU8uhd6GI/Woj/tdcfDvYAsl+RiBOzsT7i80WL3cMpwGhEnyQ99tzh+3lKnjGWo6IaNJmQ9fWtngtPzuXl/iKkrvF3uM3Ij/qtfOPdDv6fjuvix43jKveZHxelA+xTPEzRVQeoFcjIkATBOM4QQZIVTbIrslWVATl6YoQgsUyeKEhxbY7frgoCJF5EUTgdFqCSDaYxlpXihhyKg5hhERs7UE7h+UgxMBWFcPA/5n2FIZ1ZT104IuRRFUCtLYxHH0k6Y02gqmLo+GwKeX6mzMldBqNLJe6c7lUnBQlAuGcX9QVB7KI3WMjU+//IiB30Px9T4s29ssnU4KfiOKVGUzshBb147ojuQ4s/v3zjiNz6/TtmSxgeNioWqSNOBJM1ntYDrx9zbHWNbcu+xuTtmY6lCEssh9I2twazGmHgxr5xvM3EjGlX7hNPc4cBjc3dMkmTsdqfk+YO11fXjmeDC1FUubzQ56EtS5vLc40LE437kw/fFPOexf78fbm4NGRd7/t444KWzrVNR9iMQ4sn7wakX8WffvDfbn0+9mM+8sPChr/fo9/F+vfOHYRkal9YbmJaO8GJEQdA7/qYUwUxgZBUiDqEwG9QbhkrZ0tkvnJijOOM4xu+YcKyqSmEUktOfhCiKIo0VgFpJPmcwiTjWjwshCdhZlqOp0oHR1BQpLBDynFZVQZwk+CFM/JjdrsvIjYiTlDDOZI07DlBVhXdvHzEYeQzGIaqmUC9bBFFCo2phGCrXN/uQ56RpznAaEUYxUyXBC6RzvesnLLfLtCo2mcjpjwOmXsTukcvKXIUwjGnXbYbTiMBJuXGvTxgmjNwIL5DJocc9s5ycWsngoO+zvlhBVZRZEvDukYsfJigiZvtwzI37QxQhuH5vwM+/usT9gwn9Qlg+cSPqFZObWwPG0wfXmVP0fRbbJd64PMfekctRYfwUJzk/uHVEq2aRw+yeMp5GJxwsH9sLPcV5dIpTPA2O99VHQ1/Wp7ZObxTy8vmWTNJSFZynEPwNJoFMitEVRm7IylyZC2sNKrbJbm9Ku24/UXh03J9PEinCqJVNGhWbPJd9zJ9/dYn37vaZ+hGHQ1/ONXw551ydqzD1o9l7UITAsTRcP6Zs69KApUi+bddlb3OxU6ZeNuiPQw6HPqoi6E9CsiynVbM57Pv4YSbd9YvLTAHSPMcLYppVm+EkJEpUcrLZtWjpKpomzW3yHPkaSYSuq2RCwdCEvHdFKWfqFs2KgR8qhHGGItLCkEehWjaxDA0vTFBVyDOBEKCqohC8ZYBCkmWkmZwBJal08o/jjCzNyBFUSyZZFhPnct9we2fMYBJQLRmUHZ0ky+mNfG5vybShQz3gM1fmWJ2vkGQZtqViGRplW8exdKplg2r5gWHU1Av5D9+4RxSlCCFnk597aRGQSa8PIynS2rwg4e7OmDzPuXcwYb5h4wUpEz/m8rq83+U5GJo6I8P9tNf0P8048d3lH96bPsajfTnD0BB+zL092Vc8HHozM8SKo7Nz6FF1zKKPIEgymVRvaAr39saEScJRMTM/vl5dPyEsp/zKK6tM3ZCdowlBkJCS06rbWIYm6wEF3CL9L80zsgjSVJpumro006iW9KLvlz5ITQOiDJIolcJNIcXmmqaQpjlJnoOQqafFtlIarxkaa4tVbt0foClSXJdk8t7Tn4Q0qyZRkuHYBvMNm7u7I1w/wg9TTFNn4icEkUsYpQSh5FTk6GwfjJlMAhRg+2BCv9iLGYaGU6T4RXFK2daxdJW/+v4OIPe+rZrFQsuhZOnkeU69aqLpKkmSUSsbJ2q/vPjejzt2WTHnfrjUeL999rMMXVOfC8HJMd69I0UcL56KfZ8aQgh+99cv8X/653/Dv/8vm/zXv3CO+Q8wVDjFKX6aoBQGEVIdIY1e55vSwETXVCplA01TIZFpDuQ5d3cGxEk+M9P6ICSJdIlKFTmHTrPCpCLP8QOZUAkQJzEHfRelaFCmec53rx0SxgkH/cJw8XihzeVMc/tgSpyk3Nga0B8FuEEizVWAv/frF7m+NUJVBWGccGt3BDmkUc6gWAePa5y5hs3Ek9yoZs2mPw5JiuN0/ZiLqw0OCyOWPM/5+tu7ZJnsj1bLBgvNEmkm+YhjN57xH8YiIUlTVufrAEzsiC+9vszVuwMsQ+VTl+ZQVMFgHM5mmbqmFP0e+blUi4TfLMu5utmbiRh6o4Ab92XfYTgNi4QMKXLXNIX5poMQYsYLurk1JMuOs7/g515c4M72EF1XubRWRwgpXIUHiU5ZlrPXc3lho0nJ1lGLHu3x8Rwf3y99aoVr9wazPcV3rx+QJBmxImazq4fxfvO9IEp4725/9tpxkrL0UDruY721n8E6oWzLWbI0LdGeaCb+rENXBNWSTZYHaKo0Zn/eoOnLwPiTPoyPHcEP6wb4CeLLX9jACxL6k4CNhSqfeXHxkz6kTwynIo5PAJapfWD0YZ7ndAc+w2mEGyQ0qxYlS+d7Nw4ZjMOC9CiwTY03Ls+zfeiSZ4UQY75MnGastivc3hmR53khUsil+EJRqJUsesOQ3iggTjIcS6M/DmZCECGUB9HrjyDNIEwyFF1BEfmscaGqgvlmmf4kIomT414lWQaWIUBR0VWBG8bMNxzKJZ3+KCRNMlRFULJUwiTl3t6Ecsng3HKNrQOpfr1/4PLimRYvnmvxtTd38IMYcoGmUGwy4PKZFv1RQLtmS2cLVeW3fvE8eZbyb752h0k/RlUFlbJBEmd4YUqtDCM3IoplVNd4GvL27SP2ez6GrjDfsJl4slEsN2vRE0UcIAfE1+8NcH1Jvr+80WC+5XDQk8rj9YfUqcdDVvllw9bhZCbgADjoebPmph8mxElGnKQoisAN4k8s/WJ1ocLt7eEsHvl5a9B8ElBVhZW5MtuHUxAyEu/9hupjVw4tpAI6R1MV2nWbRsVioVXi2r0B3aFfNNxhvuXghylpKhv1f/XWDlXH4JVLbYbjCNePgClTNcQLIvIsR9FUFARCkYk59bIkSi51ygynIVv7Uw76HpoqZhHhrZrNpdUGQ1cWefE0QkGgKlI0JkQmhx+hHHKEUUKSgm0ovHVrwK9+xqFaMri41sDQBf/837xDGKXkyGs4ySmI5CeJClku7x+qKpNEkkKgVXZ0joYBXpAQhglRkkk3QoXCUSal4kjXO1HE0MVpRn8a0vJCtrsT3rnTJ89yOk2Ho4GHrincvD9i4kVsHYz5/MuLnFmus92dAuAGEXd2fPrjgNX5CueK+3e9YqKp8O++foc7uyNMTeXMUo3xNCSIUlbnpfhqv+9RsQ3Or9bf16VIU6Wi/hhXNlon3CAfdt/8cTpR18om1bLBeBqhqoKVzuMq1zjJZgIOkKShLMufKWLoJwH/EZuKNMtQhJBuuEUTP4xThm5Mp+FQKxkcjaFWttA1lXu7Y0xTw9BUaiWNMDEZjAI57FME9bLFxI9oVHSEImZuamMvZPtwQpanZJkkGGuawvpylbWFCmleJLpUTX75jVXevtnl9vYIEJQsDdvUaNcdDgcBBwOfaslgda7M7YbDQd+TggNd5dULc1TL8jXu7Q755rv7MuYxzanUdJI0IYozogQEISrHRX2RkqOr8twJY8Io5b3Nvmyu2HIYszpf4YWNJm4QU7J0+qMe2wce9/YmzDcdXrvQoVO3pbNgluP7sgnwnWv7jKcROTlxnLG2UENRpKjGDyX53NBVljsyvrRdtzmzVCsEsw0aFYsglo0Y29SplQ3qZZNrm33u7o65vzcmjFKqJQNyuLs7ZmOxjm1pH7oO2oaGJrtmNAqXsuM9gRckVByDl8+3ub8/IYrT2fcRRAlaphDGKaOpdDgt2waaprDUefI+5BhekMwEHADdof8+j4tnpCV4ZG9yio8dP7jV5a1bRwjgMy8s8KlL83zznX2Gk5Aszz70+U+LPINMAdOQfrBCSCfdVs3G0BQOBv7snlKyNJl8tdlnc2/E1oEkIsqoUEGa5RwNPA4GkqR5LE5oVS22DqY0KiaWqWJZ8lqrOA8aNK2aTXfg4/oxuibFzt+5dgBAs2Lx1s1D/DCl07D51U+voWkKi+0H5/bd3RHdgY+qSof9h1/7J43VuQpvXj+QDpyWjqGpj11XrZr9TDfZjoa+TIZDJgS+Xz3zLKHTcOiNpNjW1NXn4pg/LjiWTp7l9AcBUz/h3GqNva5LluUzUeiPgizP0TSViqXjBikTN8T1Yykcz3OiVKqON/d+uOZlnGRcu9fHDxIcS+PyRvPE/vdp9pqnOMVPO6aedDIL4xRQadZt9ntSAFkpGbiBXGfSDAQpu10XoQiqtloIMKRLlyJidF0rSNlCirwLZ39Dl9edJNrFXFiThDrP8/hPb3rEcYZQBMtth73ibzuWypUzbaI4RVUEYZRIoQgw15KDwsE0xDYUKiWd8VQ6hpUsFb34e4au4Icx37q6jwBqFYNaySRKZOpvb+zTHQYoQrDQkqLoJM2oOAaX1hszUuiffPUWmiZJ7GqeoWpFrSkEWS5TQLNcmsmMpzFly0BTFS6u1fn+jS5ZltOsWgjkQFhTFaZBNBNx7B+5MukoTHEslZX5CpYuf2cbKgcDnyhKidOcZtWcidJ2D6f89Q92CaMUx9I4t1KnXewBHt1PVxzjiXuYPM+5vT2iPw7QNJnSsXsk7/MbSzXiJGXqxR+498/z/MTf84OEJM0Lof8pPgzdoX+iFjrsex/w6Ado1yyOhg/2uA/vXz8IUz/mtYtzfPe9fY5GPkn6oAMWp9IERVNhnOSoAvJcyJrW0liZqwNy/R5MIlRVwTYUouL4VUWe90utCocDmfAZ5JKIq6kKqqZCnKOpsjeha6o8pxXZ19dUSaLY7ro4ps7GYpUzC1Xe3exL18k0wzZUhIAzy1Xeu9NHCEG7YeOY+kxwcfXeAEOTxhS1ss6XXl/m4lqD7984xDI1sixnNA3QVUFuaERRSprJ9ygE9MY+l87UGU1jkjTDDRIsQ2XiRky8iHsHEwSwOl/l+v0BYZLSHQbYlsrKXJkgStG1nPmmg6GrWKZKFGeUbJW1+QqDaUh/HDCchLPr0nzo8rx3MJHEbUXw7asHhFHC9uGUV863KReP94OE9YWKvPYSuHKmxS+9scKdnTGHA4/hJMQLpMPlYBLSqT+4Nzyc7lNxDJo1i/5IzmJ+WtPmTvGTx9pChc29MW6Y0KxZszXWCxJq5acnrR6vL9WSSbVkzmZRlzYaXNp4/wS91fkKf/32Lu/cOUIRCufX6rxyro5t6pxfqVN2DColgzevHTD2IlbmKpxZquIFCYoiaNYs2jWbO7sjdg6nUpCZyQQv29ZwLJkwals6v/jaMt2hz9VNSQ5anatw/2CCrqlS/OHFdEceWSqTD8eTgDiXJnMK4EcJu90ptqUx8SOSQmCnqYJGxSAt9lqClDiFIAHTlM77JdvA0BU0oTAtSNd+lJFlx+lm0rQqTnLSVN7TTF2TvfQsw9R1cnJKjiHFGnGOInJsSyOJUqI0wzAksSpOUtwgIollolKS5vhRRlL05v0wYb6pSIFcIhMd/SDh2+8dsrk34YWzLS6tNWcGdo/2LfZ7Lt+9dsC7d3voijTnMgx1JuJYXaiw05XzopKtc2W9gaIIRlOZSpWmOVGU4oUyEeXhvclCu8RwEhIWSZNzjVMS7fOK43sLOSx1Sk8k8T0tjs+RkRsW5kkBSmGuZOhyZpkfiyWEwLY0dE3Ieb5j0RsGTPwYAbPZZhJndIce37m6z5vXj0iSmCwTHPZ82g2bL768yNX7AwaTIXmeY6gqcZYhyAAN05BJIXNNCy/M2D6Y4BazrxxJiM0AQwNd02jWDLJM0Bv5qIpCmkhTOQGoKghFoVGzGE4kEfM4fYRcYBoqEzfk7t6I1fkqn3lpgVv3h4ymAf1JOEsAsgxpDJdkOY2qycSN8IKUzb0RqqIwDRNW58qUbKMQu2l88ZUl1haqjN2Qg77Hnd0xg0lIvWLgBjGmoaLrKrqmMJiEVB2DLJX93mbNolExubs7Js9hqS2/5+0DOddem6/8zM/+Pgm8d6cPwAtnT0UcHwWvX+zw6oU2b9084n/8/13lH/79Nz7pQzrFKX4i8Iq+0FrBNUmSlOVOmZKlo6qCy36Nt28eFfybnDRL+eO/uEmUZI8lJbwfkixHVyRHMcuTB2u2KqTIA5kout/zZmt+peSTZxlBlCEElG2FMJaJD0KBl840+Ou3dwnjlFpZ7rNtQyPL5RxhsVPhlYvzAFzfPOIr396WhpaK4MLqydrEsTRubo2IYimATFNnlmDbqltcWm/O+Da73SkTVyaZGprC2kKF7e4Ez0+oV0zJHfQisgyqJR1dfVBPVRyDN64scGapjqIIFps2/+OfXac3Cig7OpfWZS8kiqVQ8sJqY7aOxmk2E3AAbB9OSNMc29TwgpgoShmlIXGSyc/nXOsEF+HhfdnGYpWVuTJL7bLs2SzVOBx4s56iIuDGzpAolqY71ZLcN8iEYpuSpcvUPeRrLbbLLBbu97vdKVXHpOpId+exGz31DNT14xNmFaNpxFLnwe+X58q49wekaU69YlL/GUvhAGhWTYJIphvmyN7z84ZKyQByaS6pCCrO88cd7U8e59B0M52Ln8CxfJw4u/L8mS93miUurcukv2ZV1iY/qzgVcTyDOB4qgCRBbB1McIOYs8s1SpbO2ItYX6jg2Drtus3v/daLjKYRZdvADSLevnnExI85OHIJkxRdlY4ui62yHJYIQdnRcCyDXkFCCuOU/iigVjYxtEQOj9z4sah3gXSVEKpCs2aQk1MvGZCLwjnXYOjGxN0puiYbxYamUquYrM+VGHsJYzfiaCDJ6M2qSXfoYRgyMWR1sYyhaghyvEBGgOY5XL/f57MvzLHULtEduPTHIYYmG7emrnF2qcb6QpWFdtEMzAUbS1X+4pv3KFlyYzWchhz2XGxTZ67pECcZqScbqZoquLU9xPVjwjglS3PKtkYQpwwn0qWi7OjESTqLPF9sl2auDYcD6Z7tBQm2qVIrG6wvVFlqlxBCnCCulB2d29tDgiiVzc+NBje3RrMBYqsu/9ZwEmKZGlGcoWtyYPZJCieaVYvapTnSIuHlFE+HpU6ZTsOZDVDfD2VHZzyNWGyXWO6UeflcCxSBocmmvR/G7B1NZaR4lrM6X8WxNP7mnV28ICHNXFw/xrFVzq00UBC8dKbFO3d7TL2Id+705TFogiBMWJmroAhwg4RqyeD+wZg0zYmTjCSFl8+3URWZhJOmUlCxPFeibGvEcYofpzIJJ5PFhqLA2eU6g7ErXe9rJYSA4STCsTS2Dyfs93xeu9Dhqq4y8cLiuHMMTWUwCeT9pgjmyJHkE11VaNctaiWLlU6JOMm4uFxnu+uy33dnpLMoyVDI6NQtKiWLsq1jz5e4em9AGAt0RWVzb0ylbBQJIxrLnTKtqsW//cvbs0hARYHDQYCijCmZGvtHLqOJLJZMTWU8DYmSlNcudjB0lW++s0ecSpJ6d+QTxCkr82VMQ6Vk6/zyG6uEcVq4vPzwDe6fFBRFpkVFRXKR+oTmrKYKLFOdFZklWz9t4iJJ8Q8jSwVOSUOMQkQRCzrfcPj0lQW2Dic0KhZjL6JsayRpxtJcicV2aebSeHWzh6WpKCoIFF4422S359LtyYZHGKfkuXSpt0wVXTNIkpwXzjSplU1eOt/m1fNzXFrz6Y195psOjqWhqoILqzWSJEPTFd64NM+3rx4w9WPiWK5LtqVjGQrNqkmc5hiaQhjFtCpVgjBm4scsd0pkORyNPOpli4O+hyIEqibIM0nCOLtaY687xTRUWlWLN67Mc9Bz2em6BGFC2dG5stHEMTXiNOewEJGcWarx3t3e7LzqDnwmbsjKvEwM2O957BQiq73CgTiOMybFEFggGE4ClubKhJE8TzsNh7PLtUJ8Ja/Fs8s1VubK8jwXgjTNZuvbtGgyVEoGW92JTAnwYzq2I1NF4pR24eh1jOP0rGrJkKTuunTudYOExbbD6xfnqJQMeqOAwTgkiBMsXcMyVbJM3utX5ytcWmtwZ3c0O/aSJRPaakVawgfBsTQcW8crYjiP0wuGk4Crd/vousIr59qzc+E4GrX8HBbXzwuCKOHN64dMvRgh4Jvv7lG2NXpDD01XaFYsxm5EmmTEP4LhiIJ0wi45Oo5pFMk+grWFCkIR2LrOXEOKKHRdoVO3MXUFx9S4tT2kNwroNBx2ui6OJdPpELJ5Z2gK24cTlucqmIbGy+ekk6emCjRNOXEdgCRGvHBGEgUUIXjzxuGMqfa1720XDURBd+BzZ3fExbUHzdapF9EdFOTVNOf+/oQXP8FhVaNq8YWXFjkc+LPrpVk5mQpyb2/M1uGEZtV6oiPpJ43NvfHM3eb+wYR23f7APemzAF1TeOlcqxDrKj9T+4z7+2N+cPuI3shHUwSbuyPCwhkxHvnk2RO9Fp4KmqbihynVUk5vHNCqWtRKJbYOp1hFPa4XMV4rcz+cuGK/53J7e8hwElKvmDSq1ix9FJ5ur/mTQBSn7PVcBLDYLj8X+/RT/PTAj+KiPyAFCaZu8MWXF0BR+Mp37gPS5TTPwfNTHNtAUWA4jeVeVYM0SwniDESKQGAbOpYhidKKJujUSxi6iq4JWg8NgqZRzup8haOBi6kpNGsWr5xvMw3ihxJBVCxd5cJag8tnmmSJTMocTALSLCeMJXH8eMBUtnVaFZOpH1OyNG5tj2jXHHJg/8jj8y8vEMUZrh/xH781lqmaSs724YT/zW++SFKkET5seLHcKTF2Q+niXAxwFSHTAUZuKBNEyFGEyvnlCqapU7J1DnoeZ5aq5DlFCrCOgoJa7GuO+24TP8IPE0DgBSmen/BiYaLghgl3d4aMppEcGlTNWYT3/cMJo2lImuYEccK8F81EHMf7aS9IeOfOEVmW88LZ1sxt7xjDgkwO8ngmXsTrFzuzXluey76M9gHrnxCCkq3jFnt+y1QL8fgpngbNqnWiFmrVn24QrarKbI/7Qd/Po5hr2Giq4MWzTb7xzh4iz4gfEWWmKdTKmtyjZRmVislSp4KuSGFEmuXoKiQpWGWTLElp1SxW5itcWm8x8WI0TczEHSDFPk5xX9A0C10VOLbG+kKNdt2iO/DYOfLwAmkgpDmCaslgrlWiXDZYaDtkSY6qKawuVFAQLLakM+UL6012ei6GpnI49GR/3lCp6Qaff2mJRtXizeuHDCcBb1ya58pGk5vbI/I8YzyR/cDBJChStVMcS2e+7uD5Y+oV6Vp5fFzNmvy3TALJuHl/IGv5+TKOqbE6X0FTFaqOTl64f67NV7m03sAyZPrAWze6NKrWrG5pFmm9x1hul2bJyIoiqFctwlg6gX7qkiSMmIZMU33xTIsf3D5iOAlkQroisAzZR7BMrTDheHDdl2z9MUOf8yt1onk56H5SctkpPjkc9L0ipcGi9j5kkjBO2e+5KEKw2C49M7XVXMMpht0Wg2KdUQqS1UdBxTE46D0Qt5XtJ/eLsixnv+8ynkYcDjwmXkR/5FN1DIQQ5FnOpfUm7Zr94DzPpVHRXk+KF4Mo5dULHaolY2Z8Mt9yuLM94t7hhK39CWMvQtMUPvviAkvtEmkmZ4V7XZdm1S7M4gKqZZP+yCeMU3pDH4EgRyb6vnFxjkpJZeolfPvqAUkCZVuVyRRRilBiVCEwDJWXzs1RslS++v1d+sXsVAhpOKUrCrWSgVlc87uHLmVHfr4jZCqzUohrWzWLKEk5GkqDimbNRhOCjeUKnbrD27eOEAL6Q58szzF0hYWGSW8cEcf5LKXNUBXiWNbFqioTvMqORr1s0q7ZrC5U2dqf0NNUwkia/XQaDrqmsLk75je/eAbH1h/ba3X7Ht++eiBFq3FKlKeYunIifaPiGPzKZ9YIwqTYVyqzn9/ZGeGHiUz7KO6tD58rpq7y8vk2cZrN5luneD5xfG/J8/xEisFxr1nTFF49356l7X4QSrZOd+ATRClJKs/lcSHgFALOLtXkrHJ/TI5MDA7iDF0XBLEkHdqGWvTxc8IoYepHfOvdA3pDnzhOyTKZZBgm0rG6Pw351U+v8Z1rJu/d6YJQ8PwIy9BQFKiWTUqWzsvnmwgh+Nf/6SZRCHFBTD0Wwi60LHRN57WLHUaTgO9ci2YzBUUImlVLJiqmMtlcUXKqZZOlVAq9HlxZgmrJQlUEuwcT1herfO3NLWxTJoIIIQUqFcfANEKSJCvMI1VAyO8gh53ulFcvdFAUWJmrsLZQYW2+wtbBpDDfE2x3pwwmMsVdUxVaNRsh5H7uOEljY6nKfFMKk+uVk99zpy75Fqf9kp88XD/m7t4IgBfOPH9EvE8SQgj+u998kf/D/+0v+eqb2/zWL57j/EMmiac4xU8rHpsN1+xZQpOqKlzfHFCydKJY8u/u7kxIspwsz9jvph/42ooia2YvTKiVTDRNYetACgkQsod30PeJk4yao3G/683mUeNphKog0z+AHJUvf26Rw3HMXFUnSMTMOHQ0jZhrWLRrDlmWUS6bGIbKvf0xihC06g5ffHWJ3SOPsin49JX5E8d5/f6AVs0iyySvaXN3RH8akmc5aZ7hBzH7R26RPCrrBMfUUBTBcBKy3C4XRruS1KFpClkmk7OatZO14cM1/dff2oFcChJUAX/x7fu8cr4ze0/9cUC76Dsd8zZvbQ1RFMHGYmX2/tt1m1rFpFO3C6NbKRodTSPCWPaAHt2XDcYB2wcTTEOlWjZp1axZz+r7Nw9nKcp+mHBvb0yjmG0e9D0pti72b/f2xrRr9qzPVXqkBizbT2+0V7L0WV8bHucfVByD1y7OneBk/KxhMAmxDZXI1ilZepHi8nyR1sdejK6rNKoyFdv1nr/0h5Vm9bGfLT1fX8MTUXqKuuxZgzQ9lfVdlmUMJyFzP6Npas/0t7e5uck/+kf/iMFgQKVS4Y/+6I84f/78icd885vf5Pd///fZ2NiY/eyP//iPsSy5AH3lK1/hn/7Tf0qaply+fJk/+qM/olR6vpw8j/tbqiJdvqypxvJ8hbm6TZrJYYpj62iagmPp7PU86bITJbIJpykkaY6iCsolA6sYgIZRwtHQQwiBokjH3dWOTPJwLIXbWyPuHkxIkpPHIoQyG9zkuRzSqEIQpRmun9CqGISRTZJmjKZh4eCXMnATao7cHHpBjmEqnFmuUy8cwDRFsNypyE2ZrdOu+8XeT8xipGolgzTNMQ2NuUaZhbbDlfUmfpRQsnR+cOsIVVFY7pS5ttmnWjaoV0wmXkSSatimzmK7RLMqCXOOJV2yj5sjipDksbgYeq10ypRsnbWFKvNNhx/cPsJ/aCP58vk2AGM3nIk7RlMo2RoLTefJjauHs1iRwoxf+8wqN+8PsS2Nl862EYpgv+cy37RnD2zWrI/cdP+4oaoK6s/mXupHwtM0uS4UA4w0y1lolWQE3YnXkAk8yL4giy2H27sj+qOAIExltCBgaBqX1hp4QYJpqqiawp2dEa4vBVT1ikHZ1jnou6Tpg6jDiqUT6RmN2EQIwVzDYaHlsNAsce3+AMdS6R34aJp0Cr280eLG1oDhJGDsRkQF81TXJfEzyzIUVaE/CWUSCbBzNEUogopjSGKapmAKga6rhLFOGKfEsUz2IAdTV2hUbTo1md6jqgrVksk0kNFyC60S24cTwjBFALqukaRSUHZpvcnKfIle4WAzdiOyPKPumBz2PZo1mzBO6Q59NFXGM+u6gq6pZGlGd+BxcbWBHyWEYUq1bMzcRRUhZkWFJN0opFlOluUYquBw4BfiMOVDo+qzLGPixdiWjvEMNUM/qGgSQpLv9nsuQoifKXfsD4IcUj4oSi1TYbFVZjAOSTOZrrPUKbMyV8E2NRpVi3ZdpnDYpkcUW1TLJqYuE3lURUEooCoqWZ5jGdJJzg1jORBEXkuduo0q5GMNXWV5rkq9YtGpO4zdkHv7Y5I0Y+rFqEXCz1yzhB8m1MoGnaYzc2/LspzUjchSKaRMUkjSnPHUZ6drcjgIuLkz4vxKnVbNwTQluUtXFX5wu0sQJaRJjqoJlucqvHKhQ144hjZrJpfXm/hhzGAiP5OKrbPSka6Zg2lEbxQwmoZcXKvTqtkEUUqa5ZQsTca8Itehh++p1ZIhyWRqSppmRHHK1I9RNYX5NCfJMmolSUB5kkvEw+e6qjz4/4VmaRY/3qpbqEKwe+TSqBauX17Epy49sI7oj4Mi4USKTkSh3FEKQqwi5P2gO/Bn90RRHP9yp1Q47GW06jblR4RRMv5UfSqSkKIo/Ppn13j3jhTBvHy+TRQl/Mdv3ScqRCHDScivfXadKxtNugMfXVdYaJ5exz8u5HnO0SiYkQZH04j7+xOORgGuFxeOKgLH0Zh60l1bU3iM2PUoFAFGQcQau7FMvzNVKo6JpgmMTKFSMmlUZBqNqSssqCVsUyVKMlpVC0V5EK17fHapimC+YRciEAWBFCiVC3e3jYUKi+0yhwOPOMmoV0yeNIsXxVr5sOPK7HeP/DuMU7SCwJSkGXGSPVMDQt3Q+NVPr3Jnd4yhq7x0rj373d7RlL96a0cmF+yOSbOclx/6/Sl+eBwnyfwsYeJFfPV727x984g0zTBNhapjUrF10tRi5IZkqbxnZHlO9hSpHAJZO+iaQqtqUnF0KrZOmGRYllakeUry47mVJq4XsjRX4Vc+s/ZDvYf7B2Ou3xuQ5zm7Ry4LTeeEiOMYn2SDPs9zrt3rzwTJYzc6cV2f4hQ/bpRtnbKjE4TpjBBnW3IYZpkaSSLTKPM8IwWiNENJgRzKJZkuq2s65ZJBFCUYmsrZ5SpBJPf8G0tVKrbB3f0xZVPj515eojcOGIwCdC3nu+8dkBUih3Tgc3m9Rck2SLOMZt0mCFPKls5gEs5IivcPp4UgVRDkCYam4NhyqqHrChMvJs1zxoWQ4xglW+fMcp3xNCRODcIoJckyyASeH6EoAuOhPfjYkw54//3vvMz/589v0hv5/Pxry9imxrfe3S/SNXL+5t0D4jhlpVPmaBTiWBmDccjYi2aiieO0yyBKcCydVy92+O57+ySZHKy+ee2QKEkxNJUzixVWCjf8G/cH3Lg/BORQc6lTnok4jvt5WZ6jI5365lsOmqrM6uKvfOc+g8KY5/7BhN/+0ll0/YN7eQ/32sRD/YYPwqX1BntHLnkue0g/DnJkmuWFOc9PF/myVjb5lU+vcWd7SNnRP5Jg+Gm/n4dhWzrLrTJdVaVcMpkSEwcnh5uqAq2ag64Jojhnec5hZa5CxdY5Ggf4YcxBPyVwYyyhgaqgagornSpzLYdzS3pRd4Qc9l3iWCZvy76giiAnCBMUobDTneIGMs3GNnV0VSHNc4Qiit6ZNDM4t1RnOA1J0pTXzrf5T9/ZYuxFtGsOB0Ofiyt1euOAOEkxNZlM3apZBHHKX35vG3LoDj2W2glLnTIVW6ddsxiUQ4TIsQ2Nre6U/kgSjg1DY6lTplW1mfhS5N6bhFi6iuvHHJfDfpgw9WPqZWmMEUQJc01pMuFYkrjQqT+eIL3YcuiPQzRV4UuvL3HQ9zjs+yy0SpxdruGHCXd2h5QsHcuU3/F8U5ptPHydvXnjkFtbQ0Be47/4qVU6dZvlThnL1CjbOpapMRgHkij5PoktP6tkhWcZe0cuWwcTQCb2vHCm9ZiAIctyrt3tF2lacv/+LAn5NVXh3HKNA1ufmY980Ll2bIykKXI+KB1wTc6t1Jh4MdWSQaNqPfG59w8mHPY9vv3ePl6QYBkKd/cn1EoGIBhNIwxNCqnSLCdOpBnNsUGJFyScWazOCE3H0DXpFl91DBoVSRJbapeoOAZlx+B/+fodBpOQwSQgy3J+7sUF2jVp6KSs1ukOfQ56LmXbYOpHVMsGr12ew/MTvv72LmkOUZygawplB0xTww/lbFBVBINJQMWpcmm1xjfHAXmWo6sKUZKy2LaxDBXb0giThIOez3AcoCgKpq4WhncmZVv2dnNy/CDB1DVMQyHLc+abJc4uyXtOlGaULZ39gVekGOt86fU5bm8NibMcBRhMglm/uVG2yMlYW6iztlhmuV3m8lpDfo41i8OBh6ErVBxjRsIWyuPr1mAccGtnyGgaEkUpi60SQZiyvlh57HxWFfEYiWs23lQES60yc02HimM8dr9TFIGpnN7rPkl8XLOnR8Vqj/aaR1PZa/4wzDUcFCHvNRVHRxHHhE2HVy60aVQtklSKtVUhOBh45LmgUtI57LtoisC2pEt3lEhSar1isX0o9zaaKkiKnryuKGQZpEmKIuDzLy1i6Qq3t0eYRXqY58eQ5TQqBlNPGs75YUquCNRMzk43lsqUbFO6m89XOej5uGFErWySZjJpq1ExWZmrsHs0ZTDKIc8ZTiMcI0PTdGqm7NmTZyiKQrNq0axamIaGKgSWqRMlGSoCoSiszVdplE2W5svsHU25vz8BIdjtujSrJu26RZblfPbFBWm4ZkgCnUwqlAYdZVunXjHZ7U4JIzkbfu9uj0trTRZajkxpVU/eHx79np+l3uzPGq5u9slzWGg9eaZ1ig/G+ZU6v/j6Cn/5vW3+xZ++y//1v//CT1U9e4pTPAnHs+G3b3VRhOC1S3MAMx4Q5CiKNGVTFYUkS4mTwlw1z2amEfK1pGnc8YzS1lXKjkGOJOT/6mfWuL09ZHNvzMvnWkRxyn/+zjYUhiOPOkTPNWTalaYJljslzq91WPBjLEOdGZ3EiUwB/bkXlwjilChOubhaZ3NnPKu9DF1hqV0mS3MsU6VZsyRX8qHZuSIEx9vP/iTAK/hTh32fa/f6KEKZHdfyXIn+OMSxdCqFEP044fa1ix2ZauHHvHCmiWM9LmJ4Up1V6FreF1mWs70/YeJGCCEYTmJ+6VMr3Lw/pFo2aFYt9nsex0vyfu+BIKY78Hj5XBtVlSbYQZTw599+sB8buzG/9tm12XE1qzbzTYcgTikdG/ed/GreF7WyyYW1emEkrj9Ws30QLFPjykaT3ijANFTmn0DEVhVxgpPxs4aJG82SsT0/ptOwWV98XFDwPEDkeUEi/qSP5BTHWJh7/jg/N+8PuLMjeVa9UcD6Uu1UxPEs4h//43/M3/27f5ff+Z3f4T/8h//AH/zBH/DHf/zHjz3u3Llz/Mmf/MljP3ddlz/4gz/gX/7Lf8m5c+f4wz/8Q/7ZP/tn/MN/+A9/Eof/Q6NZtehVZBqHoSuszldpVmPu7o5ACOnk7OhcuzcgjBK6Q59O3cY2Nc4s1ahVpMuzbWiS9F84uux2p7h+zLnlGmmW0a7b9MZysEgekiPY63v8wmsrrM+Xubn1Drau4SYJx/wQQ1fIM9mgG7khn31hAcvUuL83IQtimURhKOR5jqZIZ81a1SJNMobjAC+QJDNDl41Ox9R45Y01PvfiAn/8F9c56Hs4psbf+vwZVhYq/Jfv7wLwxdeWSFNJBI3TDMswePVSm7X5KusLVa5tyljJIEpRhDzaMEo5uyKj4Vw/wTQ0Lq83MA05UJmRyoTAthRWF6q8c6dPnEjVqWPrdBoOl9YbaEWz2X9oyOaHCWmaFVH2MnbVD2K2Dqf0xwH39qf84uvLs9ixY0z9mFrZpFb82/Vjljpl2vWTN6EnkV1O8dMLVVVYmau87+9tU6NeMQmjFNNQMQwNBYW5hsO9YILIpQp6faGKpimzjd61u322DyaMphGmoVCyDDYWq3RHPv2JjPW7fn+Iqcuh/EKzRKWks3M4ZTAJ2TqcstRyGHsJtildAdfnq8w1HV4412L7YMph3+Mb7+4RpymvnG9z4/6Qna6Lqau8eqE9W3B1TWF/5BHECZoqaFZt8hyORn5BTsvIVIFSuG1WHIsLq3V0TRKgp35Cp+GgapIgcTT0OBr5hFGGoUsSWk5OvWrK9BNUPnVpgWubPcI4Y75p058EjNyIM8spe70pfpBQdgypRC/SUkZeiCKks/inLy9wZrHGre0hfpgy33R447IsfKMoYe/I5faOjHmvlU1qRaN54kaPOZM/iijJ+PNvbDKYhBiGyq9+evW5acgZujqL5DyFxIXVBt9+75Akz6XQqlni8kaT/jhEVQVBLJ0m/+adXX7+1WW+8MoS24cTdruuTKs5mJAkGY6lU7Z1SpZGGKX4eULZNrBNFS+IGYwD8lw6GdTKBpfWm9zZHpIL2FiqsrZQxbY0ltolNnfHbO6NiZMMQ1foNBwaVemSG4QJpqHSKJuszpV48/ohSZrRqJgsz5dYXahwNPRJghRD1zB0lShJGU4C6c7ZtGnXbEZuSG8csNQu0xsGJFlOtWTwD758mSDKuLQuh3/dgcdez0VXpTNcloNjmlw+22TnwOXW9pAkzQvFvuAzL8wTfE9Gnp5drp0QC7XqNv2xFJC9eK7N0dAnihNu+jG3d0ZkWc5rFzq4QcxbNw5p1WyqOya/8bn1D70uj9GomLx7RzqBrS9W+YXXlvl3X7/D1c0+WZaz1CnzMHN96kUnnj/xItI0f2y9n/oPEltMXaNZOGc8ivWFKje3ZJzofMv5SElcZcfg515anP37aOjNmjgA/ZHc+zmWzvriaQLHjxuaqrA6X+Hu7ggBtGpWcZ3INV26ogiSTN5b4yTDNFUahuBoLMlVj+LYlW2pY3M0DMnyGKFAlOSYusp8y0ERkiDQrFqszFXQVEnKyHPpiHhpvcHRyGe363JupYGhT8jznDNLVVbnqwghCaTfu95l/2hK2TFYaJX40uvLkkTRKbO5J8nax1G9T2rkSTeZKvf2ZCzvl15f4e2bXbwwYb7pEKcpb93ooiiCVtWS+5OxJCkstcusLbz/3ugngcE44Nb2kDyXw+azy7UTvz8a+iea0kfDx+NXP2mcWapyZ2dEDqwVZP1TPJuYeBFeEJNmGW6Y4AY59bLJYqvE1AupOCaOmeEXyXxxnJJ8gJBDU4FcNlAbZZNXznfY63m8ffto5ubUqdtcWGnwu79+Cf3jIBMW18NwIs0ctrpTPpvlz1SaSpLmJ2LLvUAKWZ+lYzzFTzeWOxXmmyVcP6Zk65xbrdEbBgjgd3/tMn/8F9fwwxTHMonjlKkv+1DNqoGpqmRpTqNiUyvrHA4CEFAv21xYa0hxqMj4n/7sBv1JWJCffPpFeoQQGXku066UwmDhcOiRpjkr8xU2Fh6sc826xd6RNJp49XyLr74ZEkSS9NiqWbSKHpbrxdiWRp7Lmn+pUyJJpR/+K+c77HanxElGnKR0GjaHAx9FkaLvh/GV726xczhFVQWff3mRf/DlF078/sWzUmz1jXf2ePmcvA+qjwwgpfu9KPbrJeZbD/bZ797pcXd/AjkszZXQdUWmGuoan395mXZD7mPu7AzRNIWkqKEedqSebzokaU4UZzimxlKrfKIuzrKMwSQshOwhfpjwjXf3eeV8Z+boXi+bNGsW/VGArsl94g+D4z3mjwsTL+LGfVmPVMsGF1cbP1X3yfmm88RB8o8Drh/TqsukRlUV/M9/dQdDE0SJPLdsU+HSWmuW0ANyT7lz6GGbKmdXaix3KlIYnkaMphFCQBR7fNXfZudoyn/z65fw/BiRgyIUamWdhbZTmD/o+GHK4cDDC1NUBeI05+xSDZD1+2gazURl7Zo0FgjihJ3uBIHgf/4vmwRhQr04j7MsY2/gcfP+AD+QDu1tSyZObO6NmbgRFcegVpJCcFOXYrP9nkeOvA+eX6lT2uxx6/6IJM/wgoRPXZ6nO/AIwpRqyeD2zpB3bh2RJDnNqk2tbBZJpCq6rjDXsGlVbVRx7BYp+6KPoloyePdujyzLObdSp+KYVByT8ysPEgFtU+Nv//w5xm5Md+BRLRn84uvLNB/p0/Ue2u8fu4CfWZL3ztE05ObWkCzLaVRNzq/UTwljzxEmD/d1ijTWR0UccZrNSETALBHpWYKivL946GFkWc6NrQHjafSAcFGs5Zc3mh/aoz7ug02DGHLZzyiZUlCmqQobi1XqFRMviLm2OSBJM5RCLFJxZArvxlLtsddtVi3644AkzUgSOcOUvTN5PIOp7GlVHJPeyCOKM+ZazmyduphmXN3sS/FImnN2pcaLZ1t86919skz26aZehCIk+VomEkpBi6mr8vd+xFyzzFLb5WjkyaTcXDCaRKzM1ag4Ot98d58gTPDDlEpZoVOxGLsxfiwFq9MwpVWRxKl23cGPEpbaUnD25vUutiXJcINxSKfu4JgaEz8iCFMWWmXGfoTrRUSJTDGP0gzdUDA1nThOSOKc1y/OzQykVheq3NoZYWgqu0cuGwtVXjjbfGKizNSPURWFTt2hO/RoaBZL7RLNqv1Yz+P9vvuH+531yoPUslM8O4iihD//1v0fy+xp7EVP7DU/Ddp1m8+8MM/1ewPCKOXSusGF4vo97sENJxFpJmmQtqEycSPiJMe2NdI0o1KyOLtYxbEN8jxn72gKeS5rkizDjzI0TeHm9oBXzjR58/ohF9bqzLdKHPQ9+pOAKE7xw5Tu0CMjJ4oSBlOZbJZkoOtyr3FuuSVnnLtj4iQFIeew7ZrDbneKbWm8fK6NUaQdv+UdATCZ+pDlOLbO+ZU6SZLTaTj0RwElR2epXeIzVxa4vTPixTNNvvXeAYqhMN+0qVdMDocBfpxyeaPBxmKd9zZ7Usyvq1imxhdeXmJ9sUqW5Vy/N2DrQNZR51fqlB2dw4FXmAXKVJ4wSohiQW/ss9OdyJSQTvmx1MBTPBt48/ohAK9e6HzII0/xfvgHX77C3/xglx/cPuIr393mVz69+kkf0ilO8WPHYBKiqSoI2ZsfTceMptJApdmwqDkGXpRiGyolS2PzYEKW5ZQMDVO36A7kel4t60y9hGMHKaGA68ukTD9MSJKM//ZvPejZ/Z//H3/D2IvIczhIpVBz4sk6qVExmWuV2DqQSYY//+oKC60SEy/CMlVevdjm69/bxQsT5poyPeQ4tSOM0xO119EomBlWHvR9vv3eAVM/4fJ6A8fS+dSlOb7y3W3CKGV5rkwQJQgRQA6WoRKEyUyMkWdwb19ynCxD47e+dIaJJw0vK46BY+lkOViGxnASzdKsnoQ3rizwzXf2GY4DyrbOr356lZEbE8Yp9YpJ8yFRvBclREk226MPJz4jN8IyNWl+WTIYuxFekFCydbL8AT8xz+He/piRG83e04n92CQ4cVxLbZlyHISpFFx3StzZHpGkGQutEo6lzea264vVx3p+jYo1S+74qCgXAvxTPBm2KXm8fpF4+LAh0vOCqqMTx6mcPyiCyoXn7/uu1h+fhwqn8YRHPtvQFE7MidcXP7ymf9aQCyG5MmmOYTzZIPRnBc/s3aDX6/Hee+/xL/7FvwDgN37jN/gn/+SfsL29zcrKylO9xte+9jVeeuklzp07B8Df+3t/j9///d//kUQceZ7jed6HP/BHxErbZKlpSLJVGuEYcGVNDucUBe5u93DdkMEkpDcKUEiplUx2DnJaFR3HEJAl7B65TLyYetkgJ8P1Iu7tjWhVLa6s17iwUmX3aMq7t/uYpkrZ1rl+74hrm4coQsaZKoqgWtKIU2iUdPqTGE2FsqWxfTDmwmqdWlll6gVEScLhMMUxda6sVfjBXUGWZARRgqkpDCcBCjklx0RTBJdWKtQrGt99bxfHVNiYL2FZKkfDCa+da/DCmhy8GLrKv/mru0RxQpRItWinonFu0SHLYsgTwihF5CkTL+He3oDltsNwCK+ca+D6Zfb6HsOJR71s4jR0pq5ssoIc5vSHLotNmyzPiJKcJI4pWxCFAX0/5nDg0xtOsYto9JKtEYZyM2TpOQtNk4NeishlxL3vh3z73V1+7TMnz1dDTQnDoqklQFPsH9s5deP+gIN+QLNq8uLZjydyM8ty9nseQZTSrJrUKz8FmVLPEMaujCA3NIXlucpMPd6sWqwvVElz6UKzMlemP/LZOlBZ6pTJ84w3Ls9jmiqlguwbJRnbh1PqFZMcCKNMEhOE4MxijaOBzzu3j0gzSfDbWKiysVgjilOu3uvj+jFRnJIkUqy0uTvGMhUUVf793ijgYODRqln8179wjuVOmakXA4Kzy1VURWHvyJVkZ6Rz1PmVOksthzu7I1Qh2DmaYhoqFVtnOPVJEkkiN02VVtXisy8sECcZjq3LtA1NpezoHPRcBuOAl8+1CaOEna6HqSs4lsbGUo2xG8nY5DhlZb7CXKNEpWRwOPBQFEES5/QnAYaukmYZtYrBpy7Nzciyo2lId+RTdgw6DYcvvb4ik0MeIre9dbvH9qFL2ZIKdEURBTFGFK5jH4zb24OZQ2cUpbx964hffuPxRpIXxOweuYUqXSEqir6Ponp/lhAnGTvdKUmasdgqPebm9bwizXJKtk4UJwihIBSFZs3mpfNtLFPl+mafsq1jGiq3d4Z84ZUlVuYqLLXL3NwaULaN2fW9sVTl+v0BJdsgTlJUITgcBgwm0o0iB5Is48xylW6RCpGlGStzFV463yZJM775zj6b+2P6I7lOmYZKFKf0RwFr8xXSPCeKU753o8tez+P8So0sy8gRvHdnwFzD4Y0r83hBwls3Dxm7MsauVTXZ77kstsu8cXmOf/2Vm2iKgmYpnFutsbpY4eJyg8V2hf44oDuQ1/XukUuSZgwmAbWKyVKrjKoJyARJmmGZOnGSoSqCLIfFdpm/86vnJbH9EdcnVRF0GjZCEazMl5lv2Hz32gGWoZNmGf1RwF7PLa5nGR8+cSOubfZ57eLcY99dluXsdKeEkSSW1comg2nImaUqeS4H4FNPEmUWCqKPoSknzERqZZP93oO1vFYySbPsAaFbyL3GcSwrMBtcp1leuGI9+PvVkrwnHf/9R3F9c8Du0ZRmzfrQZn61bOGYGl4oGz2d5vN573heoakKVzaarHbKCAXSVJIiljtlNFUwnIaM3UgO03KZQNGoyJS6czWHW/dHPFqq5jkoqmCuWcYxDSZeLBOwFIUwiknTnHbTZG2hOmsGKsX1MpiE+EHC7Z0RSZrSrFostR3Or9YK9zubRsUq0vcE79w6olLEuPaGPl4g3ayDMOGw782O5/7B5H3XpbmGQ7sYFCuK4PxqnSiRjnc37g/I8oy72xO+ejDh3Eqd5U6ZLMu5cqaBbco1YurH7PdcdFVhoeWw35dJIPOF4+NHRRSn7HSnjN0ITVGolg2WOuUTrj0AW4eTmdPN0dBnvumcWLcWWiXevnU0e8xS69kjLrRqdhGx/OT7ySmeHaiKIIokwVoVYFk6iqKQkbOxVKNWMXG9hP3etBjKyPjtJ+F46dR1md4VJim6Lp22yrZRJOnJdXf3aMqffPUWn3lh4alIOx+ElbkKlqEWKT0Cx9QZTsMTw4pPGroma4bjqPKKY5xeG6f4iaLTcLiw2mDiR1Rsg9cuthlNI1QFVuarzLccNvdHtMoG//zfvkOWZwghhQm/++uXCIIEL0r4xjt7GJpAKIL+yOfq3Yz+JERTBb1xQJrmpAK+c22fhXaZPMuJkhTb0tBVFaEImlWTn391iTyDJM3ojXyiWMbZX1ityPTeBFrNMhtLVfwwKZxeTRpleV1nTYo9vBSGXFxrcONeH01RiON0lnSLEJxdqnFmqYoA1h4aKOz3XHaKtLo0zXnrxhEbD/1+62DCra0hJUenU7MRMDOb8fyI3aOpTMs625Ju32n22KDx7VvdmdDs+t0BP//KMgIwDBUvjAG5V1mdr7J1MJ29n6W5B2u7ogiWWiXCOKVka0yDhFvbQ3RVYXmujKYqdBo224dT/DCRn7WmsHUwme3JhBC0azJZ2TG1pxaZ/6Sx052SpvIDG08jRtPwfd3YT/HBqDj6zEX97Eqdl8622O7Kc0wV8MblNpZp4gcxvVEAQnC0GxTpGCZ73SlZLhhPpVGAquSydlZ10iznaOjznWsH3NgaMHFjTEPBMVVe2GhjGQovnutwfbPH19/eI0kC3CBhoSyJBF/+4hkcU+P+wYjv3+xhG9K9WVEFwTRFVxUMXSOOUw763mzQnGYyPa9sG5QsnUbFYqFdYrElSQKbuyNKto6ha3zqUodLGy3G0xBFUYqUMMHYi6iVTF4rEi4F0K7ZLLZK8jqOU8ZuxC9+aoWpH3Mw8Di7XOeg56KpQtYiQhCnGW4Q4z8kMnkUIzfk3HKNkRvy7p0jwijhsy8u4jwyKLcNlf/tf/UifkFseRLmW86sl6dpCp2HaqCtggQDMBiHsySDUzwfqJfNWb9GCHntPgpDU2ZkC+C5/n5H01AKOIDhOGTqR6zMVYiTjL0j90PrglrZxAsSaoUQLIhS5lsOn74yR8kyaFRlPbDbdQtnfdl/21iq0qrZj9XeD/eLV+bKnFupoyriMXfdTt2mO5DJ2udXG5xdruKFKT+4dUSpcIl96VybK2dadPvSPXc4CVlfqLLckemkWcPB0BUywNBU2jVbCtWqJoNJKBOUKwaqCqahkSQptilTc29vD2lWDKJYpneYhopjaHQaJVTFx9AV/CiVKeOmysvn2nzqUoe1hSphlPKX39uR6YpCoAjB+kKFe3sTBpMARRWcW6nx1o0uVcdAFdAdBix0nFmaSb1ioqsqfhgTpRkWcmb9V9/bLkhoKhsLFa6cbeD6MV/97hadho0XJti6RrthUy0Z7PVcGhWTWtng4lqdWtmSyc9PITyrlU25XkHR75T33ru7I7757j62ofKrn12jbD+/18dPA27vjp5q9vTD4KP0mrsDn9E0pGTrLLZL7B250tiwXaZZs05c35t7Iw760nHaNlVW5sr4oTSyzHPZY/WDEFMXXNpocDiQqd71isWFtQYvnW2zdThh52DC5t6QIM6Zhglzjsnm7pj1xRq5kMYOUvxOQRQVeFFGTk6jYspZha6RIc0vXD/BsTSmvhSpVRydi+sNrmw0KdsyWfn2zoC7O2OORj66mqOistguUSmZGJrG2aUKn3lhnkbVIkqy2bzjU5fnUBR44UxT9ox1hffu9mZr0Du3+6wulCjbOhtLlZm7+sMz12MR4mAc8J2rB1zZaPK5lxa5szPC0BSGkwhFyPpJ0xTqhkWnYVN1ZG+oUbVO3IOX2qWPZCh1io8fb147AOBTlx6fZZ3i6TDfdPjdX7/E//vfX+X/9afv8MbluScKG09xip8WxEnGvb0xvbE0iZlMI4I4Ze9oimVqLLZKvH55niRN0VSVOElQirS5sm0wHMvZX57LPlk2jWZpmEmaUysbhJGCpqp0hx5v3ezSH0mDx/7Il/2jHEJgY7HCXlf2+M6t1tlYrHFmqY4iIIwzrpxpzvb4eZ7zuZcXGblyNqk9xAcwNAXb0mYihpKlc9j38MOEME6JYin63jtyObdSp1622FisMpyGnF2q4fqR3FdkGcudMoausns0RVUl3ydJMixDxdAUbu+M+NXPrM+O653bR7Pavj8OqI0MJq4Upix1SsRJxkHfQ9ekqfUvvbFKFKUYhkouBK9e7MxeK0kz7u9NSNKMTk0m++32XBQEi53SrCZL05yDnsdL59qz5+50p+wE8rNUVSGNQ4svZuJFJwxC5hsn92OGrvLK+c6Jeur1Sx2yXPZxgyiZ9U6f57r2eUS9YlItmwgFHPOjJZ08Kxi78ry1dBVNheEk+pBnPHuomo+bX1S09AmPfLahKIKHHUG94Pn7LlY7JX5wo0tYJEsvPYUxyU8rns1JEbC3t8fc3ByaJg9RCMHi4iJ7e3uPiTju3r3Lb//2b6MoCr/zO7/D3//7f3/2GktLS7PHLS8vc3BwMCM5/TCI45irV69+pOdkWU6UyGjKR2Oq3vc5eU4U54UzryR1Hsd3AewPIkZuytRPGXkpSaAyNlWmQ41mWWMyitnZ83CDFC/IcMlJ0xzXS0mTiNHYxdE8ypbKxEsYTHwMX9Afyr+dZjmDiXTLT9McU0DZFih5ThiFZKrCYBwThwrrzZjYyzgaeEynMTkwyANKesSVRZPDUcR9LyZBEPgJuQBVydE1wVvX7hBEYBqC3V5M2VLQNTg40BkeOqS5bPBWbI1794eMJtKB3Pd8rt68C8Gh3OClOZ6bEHoReZTRPxKknkrFURm58kYrkpxwOiFVdLp7cuPlTxOEIlBCwXTskcYJfpQRJzlb2zHj/iGdms7ROCZM5OZTVQXzdR0zVbl6df/BlxamxF5EngRMxx5TIAk0rl6dPP79+ilBnOGYKlubRx/pfHpa7A8i3rv/wB1sa8tkfe5HH7gejmIGkyKRRMB6x8QyTh19Pw4EUcL1e/0ZETBOMs6t1AHZHL+03mDiFW52ZZMvvrpMq2bRH4dUbINGzZQJLkLQHXhkWT5bpIUQOLZc8GxLw9BUtg4muEFKHKfcvD9EKWIOj0aysSqEwPWlC5Wm5YRxghAa/YHP19/aYX2himNq9IY+r13sUK+YuEFMnudkOWSJjGBv1eR5F8Yp3YGHpio4lkp3EJDnOWGUst9zpQOuJnDDhDPLFZY7Vc6v1tk6mM4+I00TLHXK3NwaIgQYqkq741AvW8SpLMLIBcOJz9W7fbI8lyk5YUKzZqIIgUDgBjFjL2JtrsIgSqmWdKI4I4yk4rlsG1QcnaVOaUZmTdMMN8kwDbUgXU/wwwQ/SnBMlXrFZmWuzJdeX8Z4CiKG/qgTdi4FG8cN0jjJ8IOYG/eH+GHMyI0Io5TVeUmO11TlI4uokjQjjFKsQoz2SeD2zpDe0CfLckbTkFcvdH4qXMENXZVOrajoqpglLGRZjuvHs6FGnORkmY/rx7PvQVUl8TqIMkqWTpJkjCYBSZIRJSmDcUDn0GY0jYjjDFUVhGGCH8S8dfNIDpnznLEX8/mXF/mLb91nNAk5HLj0RgErHdngzwsi0vF5sHPkUrJU4jQrBtQmEy9i7IXMNxwsU5WFfBgxmEZkWYZtGdKgLwc/SBAwE2fs9zxqJYu3vCPSLOfSepO1hQr3DyYcDV0URZWR5HlOp2lTsvUZGVoOCvPC/E/eBI8HKroqTgwRR9OQ29sy4WdUDKMMXV5zqqLQqtk0qiZZdjK9UX2f8+z+wWRGRu+Pfc4u12aCrOM/qyiiIN0rM+e+h8/bJ92jj5/nFglcx84Tuqbgh7I5Ypsad3dHdAdyvR5MpDjNMrUTf/9hbO6N+Hax/9jpTlEUwcvn2u9/bmoKv/65dW5sDdE1hSvrH4+o81HM7i+G+r6f9c8ihBBc2Why2JeusxXH4KA35dXzLQ77Fu/eHUjRZJiSpDmpSDns+5iGQqcmh+jpEwwHLF3F0FSsghx4LA5BKFQcY+YQena5JsXUusrdvTFHA5l04YcyYWttvsK9/RFl25gJni6tK9TKcmhZK1uSQJYLbEuXf4PHxQDqhwz6H328oSkExc/u70/Y3BvjFqIOQ1fpNOzZNRYnGdfv9WdEwts7wxkZYDgJefl8+4TI8mlw4/6A4SRkc3+MpiicWaqSpNnMRXd23I+8r0ffR6fh8KufWWP7cEKrZj/2/GcF73c/ed7hBTGKEFjmM9vWeGqEccr9/QlnFytMvIjeyKdTd5gGEZu7Y2xTRVNVVhcq7BzK9K74A1I4kky6ecdxTk5OliV8+719DE2V/bxcIMiZeDHTIKHkGPz127vYpvpYkuRHwfpilTcuz3Nvf0yjYlEpHHmeNVzeaHI48BCImavvKU7xk0KSyhQuTQg0Ba5tDmakuXdu9+iNArww4XYi027JJTnPDxNJglQA5L5ZU1UURXD93gDNUMmznKkfSyG4ohTJcYIgTAoDvZzXzneYBjHNqsXaQpU0la76aZaj6VKobOgK/+7r9/AC2eO7fm9AvSL3vxXb4HMvzRMUbm+feWGBvSOX3e6U+ZbD//L1u0z9GAFs7k/40uuyh6urCr/4qRV2e1NMXePV8w+EyJoqyLKMIJLHXa88WLQG44CvfW971idZX6xwaa1ZpPRqvHP7kDCWZPPNvfFMFDFxoxO1pioUwjQmz6WL4DEJHeVkEs/Z5RqqIugOPRbbZZY75dl6c1xPCUW69m3uDmepukGUcGm9yS9/eo3vXTvgzu6I1fkKilBOvL4XxNzYGkAua5ksy1lol0jTDLuoAZ4FfNge6BRPD8fSeeFMi6ORx9bBhDBOCKIYP0xRhOB7N3r4sSTziVyQZSlhIn8XxylZLojipCBQ5KSZ/C6SNEXT5Hq+dTBmMA5JUklAVIRAVWWvIQhjyo7Bi2ebvHOnj67GNKommiaTtP0o4WgY0iib+FHCxIvQCyOmw77P0lyZ8TSkZGnMNR1pBLNY4uvf3yMo6j9FkTV9GCVUSyavX5yjXjFo1R4k2SmKJCyneU4cJVRyA1VRyIvef06OF8SSWJ1BlKSEcYKpa1RLJrals9gqsdIp8effuj8b7N3ZGbHYLlEtmQynIYNxgGmoJ/aIiiLFHj+41SvuwWPcIOGXPrXyxPr1/QQcAJ++skDFNpn4IeeW6yfcJR++TvI8l3WYoX7kWuUUnwzmmg6apuAFMfWK9UQCqxCCyxtNuoVJUOcJyarPC5SCNBXGKWmWnVh/nuaevzpfwTRUOk2H718/JIgSljolwihjZb48qyme9FpB4Tiqa9KsKE4y7u3LFJ8oTukNfT59ZR4Qj/Wvf/nTa1wtknXadZvdI5fDgcdgHNCsWhwNLV650MEPE+4fyLlcfxywsVTlb33hDD+41WX7cIyqKNzeGZPlOY2ySZxKUxhNVTkcuNzdGRInKZ4fkWaQ5ilJKmhUdMJY3qPlZkyh4pjYppwn+HFCmmUEYUYtTmV/tu+zvlhDVRWEkGJTTVVQVcGF1QaaqrDfd6k6BqaugRAkSYpjarRrFiVbxzY1NvdGHA58aiWTKMkQRf/0oO8xnMoEMD9MaFZMvneti2PpdIc+WZYx3yyhKoIzSzXOLte4tPZ4D/Np0a5LEY4bFP1OW2c8jfiTr9wkKfo2Ey864dB8ip88Hp09PTaL+hHwtL3mwSTg7q7s4ffHAUcjf0bE7I8DNE1QtuVczjY1DvoeBz2PJM2I05QvvLRIJuDffPUWIpfClDzPGU4ivva9Hf53v/0qN7YG7PdcVubKZHmOFyRsdadEsUzd7I9DdE3FMlQO+i5zNQfXSxhOivla2aTs6JILoaqcW6kzdEPG05hGSWe/5zF2I/7bv3WZ6/cGnFms0qiY3D+YYhoKf/XWLqNpxJ2dITny/qYpAtOUsxoKwVaWZ0z9iGrZfMywSlMVslyQkzGahrhBQr0s9w5CwF7XI8slsdMwpPnf2I24cqY127O7Qcx+z6PiGNzfn9Cp25xbqbHUKXF+pcbm3liKYMIU149nNdLxPfrW1nAmBhlPI1690P6x9veP7/2O9ezUP88K9nsuO11p6neaxPGj4bd/6Tx/+eY29/Yn/D//9B3+4d9745M+pFOc4seHPGe7O53N7bsDj6ORT5LK/oChKfzcS/PcvD/k/HKN/YHP+KG0iM29EWGcQZ6Rezm5pMUhgLwQAaiqiqIK9nseXiB7gjvd6UzIkGY5tqngBRGaJtexiRuSZVJsoSkCrVh3jvf4u0cu9/fGxGnGaBJinFNnpm1CCC6vN7m/L9ewaskgCGMmXohjqTOOzPFa9u339rm9I/cdB30PIWRtn+UqGfmMM6AAYRzTH0tRchClM0L68XE9WsPc2R7N1qvj5z3qFG8UfQTlkfd4a3t4Qjy/2HYKYw7BQvMkUfnR5y53ypi6ShAlNKvWLOEQZGrYr39ug/c2+zimxktnn8wTeLieEkJwTFe9vjmYJZ24QXy65vwEEaeyB2gZGoauPjBAeo4QpzkTL8ILYzRNYew9fTLfs4JR8uPh6f6kkT6aWvH8nU5ESYZlynu1rioyDfVnFM802+HRwi3PH2cwvfjii3zta1+jUqmwv7/P7/3e79FoNPjyl7/8xNf4UaHrOufPn3/qxydJxrX7Q7IoJVUF51ZrH+pgkKYZ17dGZEHCVl/Gd9umxtJ8eabCOxen3NmVZKdpkFC2dMqOzrnlKtuHLpEW4N/dAhWckiy6KxWdhADH1HEsjfMbC1imdO0KOKQ7DImSBEvXGE9D4jQjyYoY9nqFsZtQtnUsS5KAdFVheaHK+to8AHvje+z1h2R5Ll3/M525hQV+5Qt1/of/71XG04hckc6ilmnRqpl0Os2CRKaSCg9VgZGbMAxVvn4jxdAVmlWLC6s1Lp5zmMZHs0Gx4TRJzTrn1+pYxabou9cfOOsBXNmoc//Alc33ssnGYuWxTdfhwGfrYMrGWozYn8waRpfW6oB0XepHQ/IgAQELnRJffGXxid/dG8C33jvk/sEE29T4+VcWqZU/GeVqePOItjec/bveKnPlysKP/Lrq1pCy+yAqfG2xMiPp/yzgo4q4PgrCKOXh29wx6fsYtbJ5oqlumxqvX5qfxQwPxiFeEHNnZ8Tekcf24YRqySSMEzo1m9WFKvOtEhdW63zn6j6GoaLFCVEsB61+mCBUQbNq4wVFZGBJOjRN3IhyQQodTEOGbkie5ez2vIKEMOTV8206DXku7BUuWy+fa0nlPvKe0R8HKApM3AQ3SAiiDD+SEYyWIYmoSZaR5wprC1X2ex7zLWfmsFWvmLx185A7O0MZwy4Ebiide+oVk/44YKlTxg9jpr50kamXJTF9MAnJyamW5EBkpV1G0xRaNRkZrmsK/UnCft9H0wSff2mRlbkKt7aHHPQ8tg8mNKoW7brNUqfEfMPhaBCQ5xlZDp97eYHV+SrLc5Wn+r7PLtfY6U7ZPpQkbFWVpJ1G1WSxVeLavQF+mPDO7SNKls7IDTF1ldX5SnF+xB9JxPFwfL2pq7xwtomu/eQHybtdSfABSWa+stH8qRBxtBu2JPYAINhYrFAp6XiBXMPrJZPeyCfQUwzd5t07PUxD5YUzLVRF8N3rXcIoRVMFOVL8qWuCJJOpHiM3QqCQk6IIBVVVuLs34aDn4YWSVKRpqmzYH7lMvIjRNGLshngVmRSjqdLh/3s3DhlNIm5uDynbGmkumxa2pRIlKn6Qsrk/4exSjVbN4nuiS9mWSTYHPZdqyWCn6xKn0nXuoO8xmMiYUF1TGLshb908oj8KuL09QijQn0Q0yxYVW0co0jmvUbVoFY5bQZgSpym2IYW2vZHPnZ0ReQ7VssGltcZsT3fsnH0ML0h44Wybw4FHd+Cj6wqNikWOJLHlec58s/S+AyUvkGtanudsH06ZeDGGrqII6bi3WLhPnV2uk+eyGFqZKz9GxHj0Hg1Pjht9NLr+4feT50iH4w8gJA/GJwvhYyHLB6HsGD9W56YgTHhvs0+SZBi6wpUzrVOiykPQVIW5psPVu32++e4+335vv7hfZAShJAXExf45z2WxmqQZU3/Ko7U3SIJUTs58w0bVHW7dH+JHKQKKazqnZumMpuGsdjgceNIJJ5ZCKi+QIo4wTov/12di8+MI16t3+9QrBt2hR6Ni8OqFzuwcN3SVtYUK24dTSQT4Idz7qyWD+ZbDu3eO0FSZTjLxIlw/4tNX5mdrVBinMwEHyFjoYxFHluUEYfKRzzcvlOl+5JJMm6b5Y/cWgI2lGre3hsSFE539hGtzoVViofWz6wrxSeHe/piDIgFpeU6SbJ9nBGEsBdZ+jKKImTja9WMMTUVVBbapc361zn/+ztYHCjhADiQMTRBE+Ww64fopVk2DHGoVjZJtkGUyDevYuXowCX8kEQfAp1+Yp1Yx2dqfMJxG3NufkGb5zCnyWYCmKiz9iO/zFKf4YTGYFGl1hXt8FKezNe/+wZjdwylpLh3YBGLWwzJ0jb2eSxDK3ty51Rp7R56ssydSJJ7nsg/arFh4keyprS2U2N53SbKcTsNmZaGCG8hEjbmmzc2tEWma06xKwvUx9o6mHEus0yzFsbVZrXJ/fzJLtiWHkmOgayq7hy6HQ5+4uEnZpkzSdP2YRsUiSjM0RZoi9McBc0XKXbNwpL2zM0LTFF658GDwOJyGJ/ok42k0e952d8zbN3t4YYKqCOabDpeKPX+ayuTB41rzzHKVr31/hzzPeWG9ydXNPmMvomzrXNk4WSesL1ZZX5TJwA8LrsfTiCCSjn9iRp2UON5HyMH4Ikud8syVb6N4LZD7rIefuHs05aDYp9UrJhdW688EkWltvkIYpYRxSrtun7qW/ohQVcFO1+U7Vw/ZPnTx/ETW4QpFGnQKmTQuCWPp/qxqAk1VObNU4bAvRdhRkpFlOaqqEsUZvaFfpOzkJGkhCk9z1IpgvyfJX1GSUXWkAOL6vSGuyOgNA1pVm7EbYRT76GOThf2eJERPfdkHH4wDpl7MXMshy2ClU+L7N3vsF6Th5XaZT78wT5bJerrk6HzxlaXH6t5a2aRZM3nzWhdgdm3sHZM1o4y3bnbZ6U5l8l+UULUNhmnIynyF1fkyO12XIIgZjEM6RQ9m7AY0K+bMsOvG/cHsGlqdr7DYLnFmqcb3rh9KQ4bCYfLm/QGduo2uKbxw9qPVr5c2Gk/8+cZilZtbQ6I4JYwzNnfHIODsUu25dFb8WUSzan1ogpyuKc/UvvaHRdkxcP2YvZ6HoQnWFqoIIYVny52nq2/nChHLYBTMyES2IT/HY7LQsZO+VxD+946mhJEkLc01HfaPXPIcdroyBfN4PV3qlGc98IdhaMqMYHRvbwxIk5nu0GfsxYymEYud8mNiRD9I6I8Drt8bcHN7KOeJuUzSKDk6jarFXs9lpzth4scEQVIkocllO0khijOWOyXuFn83R/YkJl7INJB1m6KA7ycIRSGMEkolfUboCmMpVvUDOQv5uRcXsC2Ny+tNLqzU2T1yGU5DWjWLW1tD0kzOKbM8J0lzlucqhUGITDTRVfm6rh9zbqWOFx4ViSLWjPSQJHK/Od+U/czj/edc0/mR1vZG1TqR0NUb+zMBBzBLgDjFJ4ezyzW2DqfsdqfUyiavXfx4iXlP02t+tM82moSzfQdAt+9x24vJioTzqRdxa2dAGGaYpsrYi1julPnsi4u8ffMQRRFYpk6Ww37PY3N/zMXVBmvzFfaOXPb7LoKcPMsxDIUystcZxRlzDYfhJJDnbsWgVtIJoowzixVsS/IkvCDGDRIUFDw/ZjAOMHSVkqXzb792mzSlMLwxZgKH0TRkv+cSxceiVGmUqSoCL0hIE2kc1x35uEHM+ZWQF86cnMtVSwbv3u1xe3tIfxximyoHPY8Xz7V47WyL3UIwj5Au5DvdqXQgTzLOLdfoNGxGW3J2WC8bbO6N2e+7rM1XuXKmycpchYtrTW5uDRlOAqaWRrVk0Gk8uA/IZEKJJM2Ikgz7xzSz648Dbm8P5dynZHBxrXEqGH8I370qUzgubzRPpEGf4qNDUxX+9//r1/g//t//iq9+d5tPXZr72BKJTnGKZw1ytiiTOhFQLxnEScbEi1EVwWQa8u//yyZBlHJja8gr51ssdsrEcUa1LFMmwkiuZWmWoesKYZSRC1nLL7RLHA19HFN7LLFQV6VxYZ5LI2dT12YiDj9MGbkRO90pmqry8vmTQoPuwOPurhRWG7o0sKo8ZJSwfTh5kAAHfO9Gl/2eS5xktGsOJVtnpUjQHUwf2n/mFH1HWdfEScpOdzojyzuWRqdhz97T2UfM2Y5r+zjJ6NQtDvoPjJMnXoRtaLO1yzRUHEtjOJHJY4/OHB7eD4VxSpYxM/EVQtZU3aGPqausPaH+ebiXcHa5xp1C1Lo6X6E79NEUhSjJ6E+CWX32YUgLE8DZcUXpYwmIp/jxwS/m88fzZj98fDb9rCPPcnrjQM4zhWClE3/4k54xuO7j+6xukNP6BI7lR4Ei4GHJg6o+gVjyjGMwlumK9eIWOJgErDzhfvizgGdWxLG4uMj+/j5JkqBpGnmes7+/z+LiSfJ8ufxgEVxYWOA3f/M3+e53v8uXv/xlFhcX+cY3vjH7/c7ODvPz8z90CgcUbvbO0zvs7PdcEBpmcQMeejnt5gc//2jok+UqiJwgBjXIqVdN+tOUtSX5XCvLaTVyHDvhYtVivnjNME6ZBlNM08TQdcZuhKoq1Comr1/scHNrRKMmo05fvrDAQd8njFPWFxtc2tC4vT1ktztl7CfousDUNOIsJ0lh5MrIMUVRuLhWp2QZBEnK0ThmfaFCnkunbFHwRBq1EhtLDZJMQVEUNE1BTRRMQ+PKmRZbBxN2jjxMQ+XMSoMMlZKtcm1zSMUxuLs7xtAV5lsVNvc9Xr7QYq8XMpqG+EFChsZgmjD2M5rF1bzQrs7IjSVbp9Wo0m5+MKmsf19+XqZp0qyVWZsv8+aNLt1RRMnWOb9a5VtXe+wVw69Oo/SB58AvfXrjaU6NHzvOrba5uyeb4Aj5749y7r4fljqwmchGtaoK5tq1U6Lmx4RSQYA+LiCOh0ajachez0VTFdYXKo8R73eLYQfAjftDRtOQw4GHG8SkWc655Rq/8plVzq/IIeNwEtDteZJsq6nkpqBZMSnZBmQ5i+0SS52SJCUUL2xqKrvdKVmWo+uCZs1muztlOAkJo5QhIXmecW6lwfJcmZKt4wUyirFs64CgXjZRFEFv5NNu2BwMXIIoRhEUzn2CkqVjmRq/8sYqpqkRJ1Ko8ekr8+wduXzn6j7dvsdOd4pXuNs7lsZgEjB25bUfhAkrcxUMXWU4kS5UFcdkZa5Md+CT5XB+pYahy0jmb793IIucwnnnWPU+mIR0Ggn9UcBeb8pe36U38amUdKZFioIsNtssdUqsPCLeiJOM+/vSPWChWXpMcKEoCr/4Kdkw+v6Nw1mjdzCWn2mW5VA4ripCYBkaUVFQCcGMbPe0OOh7s4FaGKd0h/5jheTYjdgroiTX5isnmuofF8Lo8WL1pwFZlkvnVEWgqwpZnlMvmxwUCQ+qKig7OkGU0ht5vHn9gFZNrt+3t4e0azZhlHA0CjgceCy1S7hBTLVkkqZTLEPFNBQURQox8xzGbkyaZpiaQqUkrwXHUFEf+tpsU2dprjRz2DsqkjnKZsB7mz0GkxRLV1nqlPjtX7rAn3/zvmzUxwlff2sH01TpjwIqJYMszVFUgV+IvPJif3BpvYFtanzjnT32ey4jN+TMksZbt47wg5jluTK2qaFpCvMtB8fSqDgGFUc6/wsEncIFW1WEdJY68mb3tfE0YuLFszjPWtlgpytk0lmcMpwEZFlO2TZIkpzBJEBVBYpQOb9a59OX5z9wENCsWkw96XQcJak8VlWhZOu8ePZBqVYtGbz+YxBCNKomri+LW01TKDsf3JxfmSvz3t3ebH1fmf/kyQMHA7mmgBxqdwfeY/fEn2W4fsw7t4/YPXK5eucI14/xw6QYJKbESQ6FC8zxmfqk9I1jlGyNatkiISfwM+aaDlmeoyigqyphlBLF6awRCPL8VVXpcOf60n1XUcTsejy+RhRFUC0ZszWjWbX5uRdtef0JuL09ZK3Yi3wc4oX1hSq/9MYq/+WtXXmcZYNf+fTqzNUapGjVMlWCgiy68hBhxtCVH2qg1axYJIXbja5KgnzjCcLIsq3z6sc86D7Fj44kzWYCDpCOT0vt0jNBev2oSLOcrYNJ4R4bIhTpfu5YGmEU4fsJqSHFSiVb597eiCT5cBeSHOmGowi5tuqqigDWFqqsdCr8xufXqVcsbtwf8K13ZbqTqoqPJabWMiQRyX9oQLHTnbL4nH5HpzjFx40klfvVMErRdYUgSnE9uRccuSFJlhfXSoamq+S5lFKUHJ3d7pSpF7HYKst9tamjqgpxnHJn70Gf5o2LHcJEEsHHXkjVsYq/LZPTHFND12RKl21opFmGqih0hx5hlGLocgC5e+SSA2VLx9JV0kzuFTb3xswXdfNbt454/dIceuEu/bBAoWwblG0dRQh0TZnVRuSw3Z3OxBgHfQ/L0HipSJfb6U75TPEa800bw1CJCjLi8tyDfcBwLA0mZIKHoPqQiYptarNUjmP8wqvLANzcHuBY+mwwfHNrdELAcgyZJvpgUNsd+TNiukwseVB4NR4h/a7OV55IPq04BpqqzGrzIEopWbJPPZxI593yM0DWedDvOMXHgWubfb75zh69YUCSpCiqgpJLcoQiZGHnhTEilOKnWtmgXNIhkz2iOElwTG1GtNOLFA1VVbANjaOhL13LdI1Uk4m024dTNEWhU3cwdE2amjg6o6msn/eL/X6nLk0fsiwvjkc6RZYsnbMr0jjJ1FS6Qyk+29wf0x+HdBoOnYZDtWTQqlpEcUatJI/vScJngJJlnBA1BVHKpy7NcTSUJg77PZc0zblfJHopJcF8vcSl9QY7RU/SMDQcU8MPE0qWztp8FUVVIJdEhOOUHniw/6g4Bl94eYnBJGTiRoym4aynFicZh33vidfrR4Vj6bx6ocPUj3nvTk/+MJfHcSriOMWzhtE0pOwYXCjWwmrJ4PLGk81PPgyNqjlbLx9dfw1dnfXWDvqeTBNGii3fu9ObGZ+kac5wGko3UkPlaOifuC6DMGHrUAo9ljplyrZOvWLw3mafo6HHxI2olQ2EANeLWVuosHUw5nDgF89xeO9uj4OBRxCmTN2IesXg7FyNpXYZQ1O4vTMkjFKSOCkECdJsQ1Oh6hjMNx2iOCPLc6olHdOQe6Usz1EKg4iLKw3CdpmJG6GpCpqizAzQ9nsuZVvnzJJMTC05BlVb4ytvbhPGKWvzVeoVk+EkmKW8lCxdzlUVQZpmzDcc1heqVMsGZiEOaVYteqOAz724iKIILq/X+cs3dxhMQixTlfsKAaauzoxvPm4stMuUHH22p334Xn+KnzyOhj5HI58zSzW+9PrKj5WQN5yE7PdddFWZ9QuPUS+b7HanJ3rYhwMfcjnf8sJk5mLt+jEHA5962WKQB5DLfcJwGrGxWKVTN5l6MVM/JghlvfL2zS5JkvKFV5Yp2ToTL2LixlRsg2rFoFN3mGvaHBbEy6Zus9AqcWmtSZplHI0C2jWLC6sNvCLJ4i+/t1WkacneaprmaIpgtzsliqVo9s5ORrNqoQgp1KhYBqPCYVtBYFvSNKNeNhm7IUdDX/ZnyOkNAiZuxMW1xqwWGkxCzizWePvmkaybVJUoSVlfqLCxWEUI2at19idFclki94S5NEx7+XybhVaJd+/0ZmYBZduSvbO+x8Zi9cS9+EloVCxJ/AVsS/uxzvxn5wRyHjnxolPB+EP46x/sAfCZK/Of8JH8dODyRpPf/V9d4l/9x+v8D//6LS6uNZ57I6BTnOLJyMkzOS8TQqCoAtvSZ+tydxxIM8UkQw8U9o88zq9K3pCmKsRJOhtOZlmOpQtUW0MAtqWzvlilXjYxdJX5psVXvrtT8G8MyWUo7uNC5GQ8mHPKXqDLXtdF1xSubg74zIsP+J5xIvfWx/8fhjG3tqWRa7tmn+jJffPdPQbjgDiRqXZTPz6xtq3OlekXgg9DU9lYrM4EInMN54RhuKYqvHK+M9uHLHVO9gOOa/tj+FE6S9OYazjESTrj9TSr1gf2E5pVi8OiH1p2dBRFzOYmjYp1wkjmw1CvmDMRrRfE0jgCZN/hcPrUIg61SDY5TiCplo1TAcdPELWyyc5De+SPYtr7rOBo4JLnOYamIsSDhJrnCfXq4306Q33+eK+PmoEOJ8+foGa54D7FaUbJ0n8qjFN+WDyzIo5Wq8ULL7zAn/7pn/I7v/M7/Nmf/RnLy8usrKyceNzh4SHtdhtFUZhOp3zlK1/h7/ydvwPAL/zCL/CHf/iH3L59m3PnzvGv/tW/miV0/KSgPxKL+TSRpQ9iLBUQoBSuuA9HV+50pzPiytiNsAyVWtmcLa5eQZqsFupax9JYaJWxLYN6xeT8So123aFVt+mNAs4u18jynDs7w4LkoZBmCiVbI0lz3CBhNI1QVYHIMw4HPq9fLAOCkq0znEQIIdBVQaYU0e9hwsgN0RSTTt2CTBKlHFNj6oWoqhxel1WFuYbNK+fasrk0CNB16VqT5TlRnODYBjXH5MySVJdmuSSy9EfBbMMEcG65Tq8ckOc5rbr9VCQRTRNMfdkssi2NJMspWRqqIrBNjYkf0R/LDWKWc2Kz+CxjvunwG59bZ+/IpdNwPjaH4Lmmg2mo+GFCvWKeCjg+RmiqwotnW/THAaau0qhaRHHKjfuDWVMrSTMuP+Imf+ycDfKeowhJCo3iDEPLGUzCEzFa//m723hhyosbDe7sTXhlqcq5lTpZmnNmuc7FtTr39ofcuj/i0kaLpU6Z/jjgzHKVG/dl2k7J1Li1PWI8jUiyDD9McTw5OHaK62fqRfhBjL1QnZEsNVUmTtTKJjuHbpE8oLDY0jFNjYWGwy98ahnPTx96fwp7vQlvXuuyuTtm4kX0x6F0y4oSBtNwJs6rlU3mmw6L7RKffXGBW9sDdg5d+mOf4SRCLxyxHEvn0npDftaGShRLIruM6nrwd1VFEMYJvZEk2aRpTnfgs/L/Z+8/g/Ta88PO73vic54cO+eAeIGbJ9wJHHKGkyjtSjTXkkxRKqnMlcrWWm/kXZUsrWWWqXKRXqtcJblk2fvCWy5Zy/UuubJWpBiH1JCT78zcuQEXGY3O6cnpZL84Tz/objSABtBAoxu/T9Wti250ON14zv/8wy8MppmcKbJRaeP7IQP5BO2ui+sFZJJRYPrtlVr/YKrRcrg8X7oviGT3z9hoOVGrSUuPDpy60fg9kIuTipukk1Hw/uRwOtq0fURXp4O+x8Pedr2Aa3cr/QWr6wZcmHmyw7uHGRtIYegqfhAdEJrGye/CAVGwgKJElS40VWGj3GGz0ubiTJHtavS89vyQeiO6Z3LpOLWmw/x4tHHheVGwQRiGGLqGElcYLaWwTI1iJkYmZaFpCq1OlJxlOz6u65NNRVVvx3tVyE1D542zQyxu1Kk1HcIgZDAfJ2EZZFKxfiU2VVNRiMYMQ9fQNI14TGdiMMVWrcN716vYXkDc1aJEjIEk6ckcuZSFFdOIWzpa7xBx514ZLiQw9Cj4JApM92m0owz82dGoKlQmaeK6PjeXqmTTZq8CcKJXPconFTeIm3pUuWPX73dnnNuqtrHdgPNTeZodlzurNYIAPri5zc3lKkP5OGvlNqahMTWcQVOV+xI4uo6H7fi9MUlluJgkZkbJKqah9e8N349amO8OcH8WRktRkovt+OQz1iM75Azk7z3fS7n4U1dMPwqPGl9eZkEQcnWhQrMTVdQvN2yc3vPE86JN05AQRQVNiTYX2/aDA7SzCYVcJs5QNs6d5TqqqtDsuPjBvcN8yzI4M5Hl8lyJrh1Vi04lTF6ZKVJt2pz3AnRNwfdDTFOjmI3T6ri0u1GylGXqdOyolXKs18p1cb3RP1BzD5iLPI2Z0SxWL0hjdCB1X9VeTVW4MB3Nj3RNoZiNU653cVyfYtZ6otfb3HiWbCrG5HA6qjYaM+4LvhQvLlVR+sGGEL1GTmpywNJ6g41yG9vxokS+uE6n67HW63IVrXtdhosp0nGDVscjbhm4vo3v74mVvk8YhlgxlXjMZLgYVVicHMlQylh0e9WVzk7mScR0Kk2bicEUuSMK6FHVff9Gmnpi/42EOGqe76OovdbphkK13kXX1ajrhhIyWIjT7XrETItUx46KrKgqKiE3F2u4vs9Gpc2b2iCDhRSaCq+fH2SgkKDRthktpdiodmi1XVwz6oZbyFj4QYDnBVQbNrquomsqtZZNJmESBFBudBktpbBdn7gZFaNJxAwCoirQMVMjCKN9TXdXMpmpq+xsSRi6zmcvj7BR7aCpCoOFOGu9vcvtWhfb80n11rG790f3Fw/Y/XbCMvnaO9MsrNZJJwymR+4ValEUBU1RMfVoDVbMxJkbz+L5IcWstWcOr2lqP+nY1DUc18F1ohbd+/e1HNfvdyaL1njR+wsZi5ihYbs+Ccvg7GQOUPrzk8MwDY1X5opU6l0sU2d5s9lP6AbQ5dD01Kk1ba4vRt1zHS/AMHTiukrMULFMnXzKpNay2a7bUaETVaVrR/tDmqbg+iG6DoPFBPMTWZotj2orKnDU7DqUG10gJBXXsd2oSmQiZlBvu4yVklSb0T3v+UHUzcMNcNyAYi4KCLZiOq/MFvuVpC1TIwxCWrbL5HC0959PW1EyleuTT8dYWG0QhiG6pmIaWnRmsdMmTNl7hrHb/nm71lvLdHvFPnbuWaN3T2qa0v96uz/3tTMD6LpCNmkxN56l43i0Oi4JS+fqwr091N37pbqu8tVPT3FzqUa9GSXO7th/fvO09t/Hsj4WL6L77kftyZ8/0yMZMklzz/O32euKXczGSFhm73vu/R67n7/DxQRJy0DVVDJJ4777MhpHu4RAs+1ybjrPZqWLGkbnAV0nKjYzWkoRt3RSCRO9t9dpmRrr5Q6aqtJquwRhgKIouH6UfBaP6axuNUlaRm/8UtFUP0peJUpsTMR1pkYybFU6FDNxbDfqVpRJmgRBiK5Egc/drtfrph0VJhwp3Sv8pGsq1YbdD3DZKLe4Y3s0Oy6247G61aRc71BrRZ2VPT9EV1VSCZ1SLs5ALkEpF0fTVEpZq7++ymcsLswUaHXc/pnBlz85yY3lGioKhWyMtu1h6CrZZIzUrurGRyVuavz1r13kvRubJCyNt84PH/n3EIfTbDvcWq4BUCc6O39WSTW263N9ce/Z5bld+4U7BZLqrahg4k5Rp3Kty1AhwUa10w+2dFyfTDLWX2toO3N0Bc5P5am1HP7Wz8f5xrsr/PjaJqMDSbZrXT68XeZTl0bZqnRYXG9i6FGn33hc56ffmkBR4IZRpWN7xC096n4dwma1w0a5TafrEgbw6tkBknGDP31vGSumEwS97memQhgGtLtRhfGtapuwV/xOUxTGh9JoqspAMUGtZaOGIYapMzmUpt50aHejQj5d22Oz2sV2Q5IJA9PQiJkapqH1C7rpmoLrReeCEFVlvna3yuW5IpWGzfRIho7tcnOp3q+CvjN2x3vzuZtLVeIxrX92uH/cPUi761LMxkgnDYKA+9ZRR03fHzdzxPOwk6zS6PLBzS0APvva6DFfzenxl758jp/c3OKDm9v8yv/zO/z6/+bzJzJgVoiHUVBACaPnHBAzdd46n2Oj0iEe09got/j4ThTj4ygKsZjG2ck8XacX72XqBF03SmBWFQw9xEdFVcDQonPOWssmn4pTabi9AiVR0biYqdOyfQiiuetPvz5CtRmt8eOmyv/0Z7f7iR3/4cfL/PU/d7F/3aVcnGYniilIWAabtSjZ0XEDqr25v9aLAQrDqPJ/NO/w2ay0d/8KuDw/QDpp0mi7TI1kuL0cJYP4AQwXEihKtP+gqVEc3ZmJPNWmTXxXwYzdduJ+0gmTsxN5tmpR1EIpG8f1fO6uN3pdDB9+Rj81nCadMPprJYVoj1RVFYrZqDPx+naLdMJ4rLMZTYtiSXcOiPY/Xx/l7OTen0k8PwfNkU+adDKGqasEgY+mPFmxxeOmqc5975sdPrjz7ovM0DV8595ZTeEE3s8JS2d2LEuz41DMxPvj/svohU3iAPiVX/kV/sE/+Af8y3/5L0kmk/zar/0aAP/wH/5DvvjFL/KlL32J3/u93+Nf/+t/jaZp+L7P1772NX7hF34BiLp0/Oqv/ip/5+/8HXzf5+zZs/2v8bwUMhaNQtR2M2HpeyrGPUguHWOk15JsdiyLqUfdK+bG7h1U2s7e4K6OHVVe0DUVVaXfMWNmLMNgLoHXq0I1NZLZk7W0U0V3h+cHVFsOuq5ghBojpSS2E/SCiVUsQ0VRFTRVIZ2MgqW3Kh1uLFVR1GjCRxhguzrlus3vfOs2n7k0Sqvj4vhB78DIZ2Gt2QvwjDaVVFWlkI1TyMZx/ZCP72wzUkzSdTwabZcLsyUcL6oORhhyM4yq4KQSBqnkvYeaqt6r5n1Y8ZjBxwsVAj9gdiyH5wXEYwbxWPSgaXU88mmLRtuJKhY/oJrYi6iUS+ypZHxUsqmYVMZ4Rkxj7z3puD67EsOxDwjsnBrJcGu5hu34fPLiMAurdeptJwrWyMUYLab6k+8gCGh3oxbFXS+MDgDyCeIxncnhTK89YIX/5t9dwfUCvvnjFX75L15iaiTLUCFBPGbw3Q9WaXc8hopxTEPl1nINXVMp5uKMD6YYLaX4+M421+5W0Q2VcqPLz//UHC3bZ6iQ5PJ8iY8XykwMJdG1KHkglTAZKSUZyCXQNY18RqfZdkknTfIpk9/4w+usbbd6LYxVTF3FNFRiRtSu0DRUPD8kk4y+zk4AhdE7rOnYHvWWw1AhSmhK9TZKy/Uu69ttgjCk43jMj+cwegEtM6NRhZqRUoqljSaE9INXRktJgl5bSscNuHq3gqmrvUB5k3O9he+OMIyq01sPmIMn4wZX7pTx/YDhXgXkSj1qRX92Kk/M0NBUlZmx7BNX5RwtJenY0cF2Lh2LxtNdXM/vB9oBdJxn07pvbjyH0qseNjbwbLp9HAdVCWl0PBzXp95yCEJotF1mx7J8/Z1p2rYXdZLyPFSiwEbL1FAVODNR4MqdMp2uTykXVYRa225xYbqAaWhs1Tqk4wamoeL6Ia1OdBCq6xrjQ1Fr0fHBFBO97innpvK9IKt7lXAzSZPBfFStv+t4+EHAmck8zZaDpqucm8xhmTp+GNK2PRpth4QVVYkNewebg4UkI6Uk2aRJEIYoKJybyqEoCqtbLQxd61WHU/G8kPGBNAnLIGZG49pnLo/ynQ9XeffjDYIwGu9GS2kmh9O4XkDX8RjIx8mmogTBm8s1HNdnpJQkYRm8d32T929Em9gD+Thf/uQkd9cbEEYtv4MgvBek5kfVR/cfUtWadj8xLmZoXJyN2pfn0xb5tEU8prNebtPueriez9WFCqmEwfmpwjM9vHjcKnjP6vn+pIaLSTrd6HWz81oTET+I5r/phEkn7VHMWdiOh6KpEKo4jo0fRM8J09TJZUzCmn1gIkcipuGHCq2Ow8JGA8vU8IMQ3w/QdY1iLk4+Y/Hm+SFGSknK9S43lqr959fFmcIDk3ozSZNM0sQPQq7cKdNoOWzXogp4pZy159DvoLnI0xoppR6akGToar/zINzrVvakFOXx1wzixaGqCnPjWe6uNVCUqKPLSbUz34qZOsPFBDEjOmyPkqEN6l5AEEbrbFVVaXUd4jGj1xErWic8qKmZCqQTFvmMxfx4HlVVaDQdWh2XuGWwVe1wYabI+FD6yFvTaqrC3Fjv30hlT9C1EC8734fVrSh5q9ZUScR0Yr1k/1zGpNuNuhVGyc8eO1tQzY6L67sEYXQo2ul6/S5SqqowPpCm63h0bJf3bmzRtf1eB54UI7214GA+ztW7VSoNO0q+0FTKDZswCDEMlQ9vbhGEsKQ02Si3cXpJD67nk03HCIJoTnFhpshar4rc514bxfPD/jzwzESOpY1mP0B6p5OWoUedL10/CsqaHb03LhSzcV47O8DHd8rEYzrvXNrbhTmTMLk8d39XiMF8komhFJu9YhLzE9kHJlOcmchxe6VGGMA7l0b4g+/fpd6KqvHP7NpvbXVcrtwp9wKpVMYGklGQqKpwdnK4v1bIZ6x+N5LHFdu177Ozp+L5ASOlVP/AXZwethN1eyxmLVa3ooP5hBV1w7k0V+TOah1F3SkkEO3xE9NJWiptx6Nj+/hB1CGv64QMFhJU2zZ+GBWACsKARO/Q13Z8FFVlo9JBVaLCS5oWVW9WVQXT1Gh1XFQ1KjYS9DYM4jGdeEznR1c3eP/GFuVGF8fxycRN3r44RDymR8G/qRieHzA6kOTWco1CxuLnPjNNNhXj5nIN3w8YHUg9sOBPKWfR7DhUGzbJuIEfhP2OFY7nM1xMYhoa05ZGuxslbI8NpokZGuODaWzXp9P1GCom9sz/0rrZP/SeHcuytN5EVRWmR/fOES0zCnD0g5DbyzUabYf0M1i/WjGd6ZEMK1vN/v6iEC+aTNJkdCDJZqUTnRs+xZpKUfYmM25V2/zB9xf7XcC/8ulJcmmLYjZOo33vrPTiTIGFtQaO6zMxlEdTlf59Mzu2d/2wuNHoB3trmortetxcrrG+3UbXFJY3W6STLgHw9oWB3nWxp9PHpy4Nc3Vhu59UmsvEScYN6k2HzWoXtdc1w3G9aA/WC9G1aM8rn4lH3U8NFSUMscwYpqmRT1ncWqnheAET2Tjb9S5dx6XecrkwnWduLNf/GcYGUtxZqaFpCumESSYZ46Pb2yxvRl3Wt2tdJoYzdG2PSsNGRWFL6WCaKqV8gldmiw9MktsJjt9hmjoXZx5cdf9ZyKRMPv/62HP9nuJ+trt3z65rP5szHrj/7LLrHLCXaRn9hIJmx40qYgchjY7LmYkcrhuwXm7R7nqMFBPcWq4xM5olkzQpZC3GB9PETJ1BU+fDm9tRVy5do95yGMwniOla1GVnu0XH9ghClULO6lfbD4KQdsfrP/MnBtPcXq3x4a0tFjcaJGIGa9stpkbTjA2kefVMiSu3ysRMHVWJOhgmLYOJ4TTVms1GuYMfBqxXOsRjOpmWy1AhzmtnRwmCgD/4/iId2+fDW2XGBhJRAS1DIyRaD0Wd1qM91tWtFvW2g+14VJs2n3xliGsLVcoNm3OTuajruB+1bh4s7O5YbLC61cI0NGZ2ramivd9obhl1WzIeWfxpbbvF3bUGEI0j56byz/QMBGB6ONM/9xkuJh+7WN1p9q33VgjCaO16VIU5RbRH+V/80tv8b//ZN1ndbvEr//W3+T/8p+9InIs4VUJguJBEUzqgRvPX+fEc2WSMmKkxOZjh5lJUKDWVMDkzXuglM0X3QSlncXctSiJMxE1Gigm26l1URSWbtvjTHy/TsX1UpcJ4rxDUztzz/HSeb/1kDdcPGB3M8uVPz0ZxNcCt5SohKkEQ7S96/t65wu51fiFr8e6Vda4vVgHIpkx+7jPTVOoOigoXZ4t8vFBhq9rB1DXmJu4Ptt59BuG4URzKjrGBFJvVdn9P0orpDD9gD26j0u53uUjGDS5MF/r7BkEQcmOpRqvjUqnbGLr60D2F/WsluPdcdxyP3/n2Ao22Awp85vLofeugB4kZUQzEymYTTVP3xJIehqoqcpZ/jHbPkU+ikYEUqWSMjt0mVGFu9OSd/4Xe/XuXS5t1xgdO1h5ePm2yuh0lZBkqjA0f7Vnv89B1fIrZeH+sjOIsX8552gt9MjQ7O8tv/MZv3Pf+f/JP/kn/z7/0S7/EL/3SLz3wa3zpS1/iS1/60jO5vsNQFIXpkcxjV7qYGEo/tO1WOmHwb795k3rLIZOKoWljdGyPoUKCIKC/cFdVhbd7LRc9L+A7H67y/SvrUZX6i8Ns1zr9xf5Ury1n0jIAnSAMeWWmRCJuAAH/wx/d7G80fOHNcV6dH2C71mV5s4lpagzELDYqHQI/RNMCirk4Xdvn1koNVY3a9NaaUYKIpkZV5xstmyBpEvj3dnpemS1yfirPux9vANFh8dpmi8APsF2/Hxw4MZjGNFQGn7IdeaPlML1rkzoZN1CqUZtldSf4ZL1BshU9RM8cYeVhIR4lYRnELb3fVq90QMChtW9TfnQgxZnJfL/ijqFHLfEgOuCdHEpzdaGC6wXkMzGmR7KkEkZ/3Piz91Zwe8EathfwZ++tMNVb9FQbNpO9+yWqgJ2gkI3xrZ+s9SpRxfjyp6b40bV1hor3Jv7VlssnX7lXgelTr4yQiptU6tEYUm86VBtdDE1lZVPjncsjuH7Ad95f4X/65s3+RmLcipI2zk7kcf2gX9XfC0IUogz2dMJkYa1OtWmzuN5gIBtnYjCNHzT6h0Gl3rgRhPQPrYMgav8+P7530bdTkStmaAzmE5ydyqNpKlvldr9VYrnWxepVuKk3HTq2RykXZ2k9WqTGY/pDM5BrTbt/WLZVjQ7bd6p07T+cflKapnJ28sHZw5YZXeNOFdD9SR5HJRk3DgzAOenqLY9Gy+6/JmzHhTDk/ZtbDBXjOG6v84OuYjs+I8Ukuq4yNZJhvdzmzXP32iNPj2QYH0z1X/eJmE4mFYuqWisKQQhr5RZjAylUVeHMeG5PBflsKranzeduYRAlcCbiBmcmciR6CYsjpSSNtoNl6syN5Wi2bT68VaHdjSprvnF2kJipk0mZB1bgT8UrlOt2r+p3dJ/GTI0vvD7O5TP3/r2r9W4/2NTzAmqtLrNG9r6uLzvVQHe7erfS//NmpUO53mUgF7VTHconqNS7UYVOXeWn3xo/cKN7vdzuHy7Zrk+lbu85BBkdSDE6kOInNzb7AWfNtkur657ISgjPi6YqzE/kjvsyXkiGrpFNmdSa0eHimbEc9aaD40QlHR03CrRyPJ94TKOQtvpVoruOj6Iq6ArEDB1NVwAF1/Xp2h6tdvS63EkAfev8EOemCv1n/vp2u5/I1bE9ri1W+9V2Z0YyBx7+N9sOK5tNqk0bQ1PJpkwuzhT58PZ2fy5ixTR+77t3sB2fC9OFfttlIZ6nneS7k24gF9/TivvSXDFK6jI0vv3+CvVWF7vXgTKXjDatLDOa2297HZTePR7syuRQo6LVBIDnhcRjOuemchi6zt21Oh3bY2mjQdj7nFdmi8+kS0Y+Y0mHGyEOUGt0SVo6iVjUgVHvdapRgGLG4swr0by43u7yB99bJBmPntdd28XQ1WivCtB3dTQcKSX7ld+uL5b7yfkhoKpRdT3H9VFVhZWtVr84Sa3ZRVMVAqJkCz8Ie2+HdLou7a5PSIhpWAwXksRjBooC56YKfObVB8+Ni721ZLVhc22xAmFUJbaYtdiud9E0pd9JeMfludKh1om267OwWu935HplrhTNnRT6a+iDpBMmr85Ha6TF9caePZTVrSYrm83+2zu/P88PqLfdXqK60kuYP9o9wYRlcOkFWR/fWq7x0e1tTEPlU6+MSFDLEcmmYxQyFrVcgiAISSVNzozn2Kx20HuBvO1exWVdU0klDDRVRTUUNF+h3XLoOj7v39iilI0z9Mows6O5fiX37VoHRYkO3yuNbq+ztAG9fe3zUwXOTub49gerUaVKJSogFbd0ao29VefK9agLWBBAzNQYyEd7+5dmS6hq1PX3x9c2uTRb4tJsCUWJkrG7vQrvqhJ1996qtvn+RxsEQcBrZwb6yaKKouwJNvzTHy+xXo724Es5i9deKT2wM6Whq4fqBrj70O9BHrV+9fyAOyt1uo7XL7TxuAYLiT17DUK8iMYH0w99dj6p63er/X2N7XqHP/j+Xd44O9g/J919Vrp/72//ffPBjS2+/cEqC2t1xkop0kmTWrNLGKTxvAAvCNiu2WiaykgxSSJmsF7pMpuIUchafHhzG9vxGSommBnN8vaFIervLqEqCsWMSdIy2Oi0o2DspNovdNW1PZpthyAMGcwnqLcdXDeIClDpKkEYEoYh5brN5FCagXwCx/XpOlFHs7ilE7cMsql78yVDV3nrwhAf3yn3zx51TevvUwZhtI5LJ0wG8yGO6zMzmiVh6aTjJo4XED+Czj5dx+POah3fjzqFPG2RDPFiySRNDF3tn++VntEZD9x/dvmo86TNSvvePNsLaLQdLswUCMKwfyb1+tlBzk7m76uS32w7LG82sUyddNLAdnwG84koWb3rkbAMas2o081QIcFb5weB6D6bn8gRBCELa3WuLVbIpaKONImYQRCEbFW7vHd9C1O/10FjaasJARQysV6C0jjLG022G11sx6fRdlBQiFs6ibhBvWnzxz9cotF2GCokcd2AzWqXZNygmLGot12GS3FcD4byCXRNpWO7EEZFPYYKOuem8vy5z85xa7nGVrVDx44S9K8vVpkczvSLuw0Xkw+cm6iqcujgT+jtHfc02g5t23viInKHddC5j4j88Q+XACQh7hnIZyx+5T/9NP/FP/tTbizV+Pv//E/5L/+Xn3pkBX0hTgrT0BgdTPU7rg3k44wNpPqv8Wt3K7wyWyIMowlnGAZ84weLNDsO06NZdE0l3TtXTMQ0bD9KrFBVBdv1sR0fxw1QVAXb8/pdazUtKh7xxbcn+teyXe30uyxNjWQxTRWv14C2mNk7V9i/zv/97y70/9zpelgxndfORs+1dtfj0myRTu/s/tX5hz9LSr34AbiXwL674PbKVpNyrUu8V4Rh93np7udjq+PSaDv9PbJG29nTUXd9u/3EyRBLm60ogQMghKsLlcd6jg/mE5KIIY5Fo+UwVkoy1Hv9KSewc4Jp3B8ur5/AnyNm6nu69NndB5X9e3EVs1a0z917rrzMHdNe6CQOcbBG2+GPf7hEq+vi+gELq3W+qyucny6iqVF1752NEHPXoe77N7e4freK6/lU6l0sQ6frelEF665HENY4M57D6LX11XQFTVfYqnYYH0zxC1+cY7Pa5cJ0gbcvDEftQlWVYjZOy3ZZ3Wxi6iqKrtCxPfzeJlHSMqLq/7aPoaskEwaBHxK3DAppi2TCIBbTabYd1rZb5NIxitmosk295bKy2YxatekpOrZHsRjn4mwU3JKMG8SfskqdYUQt5SGqzpNLW1xKmLQ6Lqm4gRXT+fqnp7i73sAy9SOvUvos1dsOG9stitm4BNC8ILaqbSqNaPMubhrk0rGHBk2pqsLF6QLVpo2uqQ89RA+CkFrTRlEUSrk4vh/Q6DiMllJ7DkE/99ooxazFzaVaf2PV7P297wdomoIfBP02Vbsfkoah0rGjP5umxrnJPP/9N66j9RZxt1fqLG80SFkmcG+Bk7A0tmsdWp2oBeJwMckrs0VqTZuLs0X+4Pt3cZwoaGR1q0kYwp/9eIXV7SYLaw2qTZt8yiII4c1zg3zqlRGqzS4xU6fZcbmzEnUDySRMljYabFWjw+xGy8HQoiSyXMokZurETa2/oVtIx5gairL8dw6qdwJXIOoScme1xmA+QbvrYppafzFk7mpLqGtKvw39TiDOaClFKm7iej65VGxPkEoQhKxtN7i+VGOs9++zE/xv9DoZ7DAfcIB91FRV4fx0gWqj+8jXmrjfe9c3cNydlKCoC0fX8fG8qER2MW0RKJDsVdwcKSU4P1UgCKMg7t0MXaWUi6rBVepdFtYabFbaGIZGLhV13Xjz3ACtrvfIBKH9VjabbFWjTQvLiKqBlnJR94uoNajPZrWDaehMj6TwA6KNm944ddDrcWG1Tq3pMDGYjO6lICCVMMilYjj7qmqU8gkGqp2oGp+hk0tFz6Zmx8V2vKht+gNafsZNDadX0ct1PVY2W4wNpsilYwRByFvnB9mqRYkdD3rm7a8IahgHfy/T0PpJHChg9O7vxfUGrhcwOZR+7Nak4uXgeQF31xsYutpPyN5py6sQjRVub6xwHY9UwiRpRd00VE0jHTfo2LH+QlVVVHIpE0VRcLyAWtPGD0JUJ7r/43GNV88MMDWUYWo4jev5eH6Arql7Xt+trkvHjj6nUu/S6rhcnCncFyTl+QHrvcraNn6/re/uuch3Pljtb35+58M1Srn4Y7X5FULcU8zGiZk6tuORtHRWt6IqiElL59JskZWtFqW8CaFCEIacm8yzsFrDdn3CIErUUBXQVfADUHtdtBUFUnGDkcEEk4Mpag2XUl5H11RaXRffD9F1lUq9y0als6fTjRDi2SpkLQZ7gX66rpKKR8FDiqqQS8VYXK+xvNlifDDJzGgW24mSL7JJg7YdVeXPJk3eODtEOmkSN/U9gQf5tMX0cIbV7RYJSyOdMKg2okV823YZKSbx/ADD0PCWo45hQQC262HtqhJ7c6kaddMIFBw34MJUDlXTSVj6oSuF5dIxLs0WaXc9rJjGR7e2abRdVEXB84InSl64vVLrJ7+17Sbnp/JR18uYfuiAo93dIMMwZHmj1U+CrbdsMr2kuSAIWdpokElEb99YqvYTQQAcL2BpvYGpqydqr/Ag9bbDt99f6QeSfusnq3z9M9NP/XUdNwpyi8cO/7o5bWKGxtsXhpgaTnNzpYaCEnVjKWl0ug6FjMVALt5LyAxJxg2SCYORYpKltQYf3injegFBGLJd77BV65CwDLq2R9fxKWQsNE3l0lyBQjrOt95fQdMUFBSmhjNcmouCHFw3IGZG94lC1Gk6v+9QbKiQoGN7eH6Aqig0Wg6mqfUrMu+cO7ieT6vj9vcibi7X+kEMN5aq3F6p9/c5vvneMr/wxbN79tB2rJejAEWA1e0WIU+WVFqpd9mudRgsJskcQfGFu2uNfpLMR7fLuJ7P+GD6mSS9ipfD6laTVtdlfDCNZZ7+I1ldV2l3XfzeWUUqYbCw1kDTlMfq0NfsOPz7797B90N8P+TuZp3L6RKpuIGqKiTiBoNhAkNT6Tp+v7NZwor+b5k6qV73I9PQ+OaPFvnWB6v9ZFZVVXj93ADv39xidjRL1/UxdZULM0XqLZt606bR9Xjv4w0SMZ1q08HxAs5PFRgdSLK40cR2os+pNmwKWYuYqZGMG5i6ytmJ3H0dqOMxndGBJJ4XMFRIUm3YdGyXtu0xkE0wN56l40QBczv7krqu9s8bjsKt5RrNdjRm31yqkjoz8MSdsnde25ODacyX4LV9Eux0+qq3HDwvoNroAuEz6eisPcbZZXRte1/DO+cMu9/f7ro0Ow7phLEnmDLqIhg9h2fGcjiOxxfeHKeQsfjRtQ2u3C6zVm5hmTq24/PulQ3y2Tgb2y1ScYPtepf17TZBGFJvOsRjGgM5i61qNyocp0TrDEWNYgTOTeapNGyGCwnmx7OcmcijAPPjebqOx+J6g0RMp5SNYzs+3/jhIpV6dD97fkA8ZpBNGYwPphkuJrk0W8T1A9IJA0PXyCRN7qzW++u03b+H2bEsubTJ+ze2yaUtmm2Xa3crvHkuSkzx/YBq08Y0tKcuOmUY6r3uLcr9/0bi+bm1XOPjhQqaqvCFN8eP+3JOpfHBNL/2n32O//3/49ssbzb5u/+XP+YXv3KOP/fZGemIKU6FszvnkLu60e3IpmKMlpLUmjaZlMnCWoN6K9pbe+/aJq4fEDN0wjDEDzzKNZ+wl6ixUe6QSui0ui6WqZFPx/naO9Ns16LEye9+uMpGOTovRIGV7Va/gGTX8fjcq6PcXK6RtHQ++9pYP34tn7HuK8Cwk6QYBCFxS8cyovNMRYmCer/+mVlWNhsk44/uNjUzmu3HD+TTFq4fsrRex9RVUgmzX4i13fXQtajo5o7d8VAoe/cRTUOLDmDCex/7pBKWjh9EyduaqmDFnk9MEEAQRGfZAJNDadQTGLwujk86aVLKxak1o1i84eLJO1+MHTCNHi6evOTOqAiFjxcEFFKxE1lQJp+2+mdI6aT5wA7PLwOZkZ4wq1stFtcbLK03afWqW9SaNrdW6rS6HsmEwbnJAksbDTRVZWrk3iHiVrXDZjWqQK0qCtu1Nsn4vZHJcX0++9oomqaytF5nsJBkqJBAUztomsr56RJfHb53YHF7pc5WtUMyrnN3o06lYdOxPQoZC9vx0HWFMxN5Ls+X+Pb7KzS7beKWRj4VI2EZFLNW79AqgWko/Pa370TBmQp89tVRDF1ju1anXO8yXEzQaDusbUdBrF3H59Js8Yk3F3ebH89xZ6WOHwSMDaSi9qa6uic5xDT1E1dleLvW4fe+u4DvhygKfPHtiUdOZsWzdWu5xrfeX6FS6+L6AW+dH2SklHpodwSIOig8qoocwPXFCrVeMIOuK1HwOFEV+VdmS/0NOFVVeWW2RCmXYKPSJmZoTI2k8YOQj26XmRvNcnetQdfxOTOR4yufmux/j5nRLHd6LcKHC0myqRjlaofKTlBI12W90uYr70zhfDPaTJwfz+L5Id96f4WPbpfJp2LkUhZf++x0/+eaGcmyutXED0KKGQtFgU7XxfMCDF0jGTOijiIJk5/95DQJS2eot5C7crvMYP5e5ZmdsRFgrJTCCwKScYPJ4Qz2rpbOO+16bdfn1nIN14kS3D6+U+bCdAFVVfD8gDCMDkkyydie7Nt8xmJsMEW53uXCbBHCkCCM2jHujE07gSD7fXBrm9/8xnXaXY+YqfFTr48yMZzB9QLmxrM0Oy71lkMqbjzXoDpNvb+lozgcVVHQNQU/jJI2jN4mwKujGayYwStzpV4wNLQ6DiubLT68XebSbJF4TCcIQjKpGMWs1T/wiCpyeqxsNHF7yYbmmNb/N4o/QRDM7pbqqhpVyNj5frqqcHulxkalw9JmA0PTKGQsyrUuhCH5TOy+LmHf+skKt5ZrUWKnrnJhMk+nVwlLVZTooHVXYtSbZwfo2B71lsPEUJqZ0Sxb1U6/c5BpqHvGq90+//oY3/lgjUbLptEO+MmNLd6/ucVPvTHev67CI16/44MpXD+IkkIzD67ivnusGykmsWI63/tojWsLUTeQj7MWX/v0lGxqiD2CIOD3v3eX7Vq0YTk/kePTl0ZQVaVf2dDQ1f7GXDZlMj6YZL3cod11qVQ7XFuK7gXfi6o6hkpA1/UZyMXZrnXwgwBVjQ5lC5kYk0MZzk3kKWbj3FmNNtysmMYrM0WmhjMEQYjd6wS0UzFmdatFMt4lCEJe2Tef1jWVwUIiOoBVo4rZsHcushNoBUAYvZ072XGLQhyrVK8wwfc+XOUPvnuXtXILw9AoZSzymRhBEM3RLFPH9QO8IApiiplarxhBFFBpEOJ4AV4AutZ7zlsmpqmTSZtkUiaGkYmCqmyPXDJGzNTvSyYVQjxbr8wWabRdNisdClmLjXIrSuj3Qz68scWVhTJ+EAUO/+WfPUuz46JrGlPDSX7n23ejQg29pI1yLQoyVhT678skTNwgwPF8wk5UTX9HIhYVkrBdH8vUMDSFte02vh9SyGaxTI2tWpdcyuS96xv9qroQVdR6kkq+O+3hWx2HxfVmfx7huP4TJXHsGbNC+kUsHsdgPk7X8aIALkvrJ+IDpBImxZxFuxMlnii13d/7XiUrzwv4/e/c6e+FnJ/O8/aFYU6qTtfrJ3BEb7sP/uBDsl2fD29uR88qBc5M5E5FF60nYRoaY4NRpfY7q3XaXZdby1W6js/NpSpBGBU76jpR8ECj5ZKOu9RaLq4XFVkJgjAqNuD4JOIm8ZgePff9kKnhFOemilEShuOxstUin47x6cujGLra3yucHM5E3XbCkOnR7H173Z++NAJEc5OF1QZr5TZd1+cHV9Z4+8IwmqYyO5blT99bjpJCDI3Vrdae+zIMo9fPTuCl74c4joep378/NlhIsF5u9TpxxNnzIjyk5c0mf/zuYr8K6Nc+Pf3UhYwcL/p51sot6k2HIAjp2P4j92+FOMj7N7d479omAKnENj/3zvSpDnbv2F6vi5fGRqWNpkZdxFY2m4Rh+HhJHG0H34/GhYSlsbTZZH27TSphUGl2mBuNEh4sU2Nls0VIFPy8E/zluD6p3vnn9cUKP7m5ycZ2B1VVmBnN4Poh6YTJG2cHWdlqUdRVpkcyWGa0Z7NV7VJvOqxW2qTjRjR/imlMDKWZHs3QsX0UoN6KunK/fm6Q1c0mjheQS5l84sLQnp/H8wM+vLXdP5+IxwyKmRitjofr+4RKyKX5ItvVLoW0haoptNsuA4UEk0PpIwuu3j9mu17wROes79/Y5L3rWwB8mCjz9XemTvVr+yQxdA3D0PjD7y1GzzQlKuz2OPffYR327BJgtJTC9QKabZdcOtafw0+PZLhDnZXe/bOy2aLasLk4U+wnkpqmzudeG+O965uoqsInLw5RyiXoOh63lmvcWqnSbLskYjq6rrJRa/Pv/vQWna7Hdq1DPmNRqdsUcxaWqfPm2QESloHjhRQyMQq9yuCdrk8qbpBJmtSadnTmo2vcXq3R6npMD6cp120G8wlMI9qbLddarG61CYMQ1w9xnIDZ0SSz4zkySYNXZgrMHFBVe+fntl2foUJiT8JzNhnbE6PgeQFBEBICH90p99dpE0NpRkqP3zFsx+xYljurdVwvYLSUfKkDpo7bb3/rNgDvXB6RDknP0MRQmv/q736e/+u//hE/vr7J/+vffcT/8I0bfObVEV4/O8DsaDSPUFVJ3hYnz+5zyP1ScZ2O7eF4AR07Kmy623gpxWa1QxBC0lJZWGuh9IosBEHUXcpxfVodBc8N9nTA/MzlUb71/god22d+PLenS4VhaEwOZ/CDEFNXGcjH+e0/u43nBSgKfOGN8T1FUT732ijf+WAN2/W5PFdiZbvVL+QykI8zc8A+xsPs7EHt38MbLib6BVxgb+wE3B8PtfuZHI/pzIxkWSu3MHWV6dEnn18Vs3EyKZPF9QaWoTM3lnvir/W4/uSHyyz3uhKPDab4mbcmHvEZQtyTS0WF2etNp9cJLvPoT3rB2M7971vbbp64RI6p4TRXbpf7yW+lE9qdZ+cM6WUnOyonzGY1qow7PZphs9qODnI0hWwqRohCvemQS8cObC+Tz1goikIYhqiqwlAhQYhCq+OyWW1TrnW5vVzn7YtDfOrSMDcWq4QhTAymuThb3LNJGIYhixsN1rfbrG03KWbjmJrKjeUavh+STJhcmC7w1oVhBnJxrtwp9yv07iQUfPv9VRzXp5SNU2vYbJbbdHrt16/drZBPW0wNZ8gkTTYrHaoNGyumETO0qIJI0z6S9mDxmM6FmXtt2vwg5PZKjWavLdrUcObYF2tBEHKrd02ZZIzpkUdf08Jao7/JHYZRVTRJ4jhet5arhEFIuxe0sFXrEI8Z/YrZT8Nx/f6hLMCdlTrjg2laXZfbq22abZfL86U91XD8ICDwQ3w1Sj5ot6MDB8PQ+cqnponHdC7P7w2qiBka56YKbNc6LK43+PH1jV47cR/DiDpIpBImqbjJX/nKOSBKKLq5VItaD4ZR4lmj4/I//vENZkezFLNxhouJfpB3JmVimRpnJnM0rzok4zrxmM7ceJbLc6V+Na0dg4U4jY4DYRS4Oj2c4dpipTcWGVyYLpCwDOoth6sLUbtyQ1cpZKzeoU2WSsPut3lvdVy6TtSC2TI1Mimzv0Ac2pdFvLsV5W6uF3BrudpPbJscvjdxdVyf63crtHsbrY7jc2Opxpc/Nd3/mKdJpIg6kXSwYjpzY9n7qqyLZ+OdV0f54Fa5X0X36+9M8/M/c4aPepPmoWKCn35rnO9/tMbiehPXi1qRblY6TAyl2apFHXo2ym02yx0MQ2V2NAuEUQVcPzrsW9po8N41nZGB5BM9AwdycSr17p77YMd6pcNGuU25blNvOcSMKInD7G2y7K5CseP2yr2opu1qh85wmmwy1g+EGsjH93ShMU39vo2AnYr+EAVG1Vv2gfdALm3xtXem9xwShmFU6XN/csmDaJrK/Hhuz/ucXiJX1/EYzCcYHUj1x7rdri1U2KhEybDtrkulcfB1ipdXveX0Ezgguj92AqF2vHFukI1KJ+ooZ+n8pS+dZ3WryUd3yvzWn9wgDEIURaHVdUnEVBKWieMFLG82MTQN09CJGSoDuTjFXJyRYjI6nKze637VtX2aHZdsKtYPNHK9gI9ubbPcckCBbMrEPWA+nUqYjJaS5Hrzhd3thXecmcjzo6sbAOTTMQaeQTU/IV42zbbD4nqDWsshCMF1A/zAR1NUbNdju+2QiEWBmxODKQhDtnvtvtPJKOnT7lVshTDaHwhgZbPR6/6V71fePDeZ789PNO1espYQ4vlQVZXPvDoKRM/n3/6z20B0WLiw3ugH53h+wJXb23z29XE0VcH1Qz7/+hgAHdtls9rpP69XNlvUWw5dx8P1AtJxk3OThf732JGMR2vcqDq2yvhgGl2L1ovphMn56Xy/cMs3frCI7Ya9zzOJxR5/E933A24u12j3qvWh3DskDgi5ulCOkquz8UPP54cKSRZW6/2fJ7lrcz8KjK/hByHjg6kHztUVJepQsENVav1uhUOFBDO7DmB/0FzvdSVReG1XF45Ko9s//IWo0M1JTuIoZiwKWaufGHRmMvfUX7NS7/Y7HxPCdrX70iZx7DANjbOTebaqbT64uc1WrUOj7RISkktZZBMmpXycu2sNKnUb2/UgjIrzBGF0SPr6uQHurkaVJ0Oijjdx615XjU9c3Ps6rNS73F1r0Gw71BpdLFNjfCDF59+4v8JvKmHys5+cYrPS5ne/s9B//+2VOpdmS9xcrlFv2liGznAh+n6b1TZDxUS/imUmaXJuKs+NXnL66ECS1AFVoju2h+v6+F5IPmMxPph6oiDi2yu1fu6H74fcWa0/dRLHYD5BvRntixi6SjKuU23YuJ4ve2zise0ULYGo0NJ6bx/wtKrUuxAqXJwpMj+e4/2bW6iKAkoUWLa70MujDOTijJQSrG618fyQkWKKgd7+xfp2h5Fiql9AaWo4w3Ap2S+GtFFus77dZnmzyVAhwdJGk3QiRqPp0LZ96i2Xty8O0bU93v14nbvrTXIpE0I4M5lnsxLtsbieT9zUcL2AeEzn3GSeCzOFfjVgiPbxR0pJJobSvH5m4ICfJNJoOXsKTG1WOyxvtZjdFdxtO0+W5Po4NFXl9koFTVU5M5G776zlYRbW6lTqXRKW0R/nARpth41K58R3JjtNFtca/aREwmgsehZJHI9j5yzO8wNuLdf4wZU1Wr39y1Kvs/bOPdLuerS7LqlElEyxsBbN/z//+tieM8617RbtjksmFaNcizoP5zMWpUycruPTsT2CECoNm5AoKTMe07FiOl98e5LLcwP98424pTNSSrK61aLWdDANHUWJCmTajo+uqQwVkwyXknvmW7/1J9dRFPodDccGk/z5z83iej4blQ7rlQ4oyn3n+jvzwoNoWpRAv7NGGcjHUVUlShrrnSveWq7y/Q/XmB3P8dnXR5+oG5ll6pzfdwYinr9qw+aPf7gEwM99duaYr+b0K2bj/Mrfeoc/+sFdfuMPrrG2Ha19dtY/pqExPphicijNxFCaiaEUM6NZhgoJ6cwnToSNSpvVzRa6rjIzmiFhGWxVu71OvAGu55NLmyys1XHdgFIuzlsXhvjJjS3CEEYKFo22R7UXG2OZKihKv4PW3fU6NxarNDtRLN30SIav7Ipxub1S65/7Jy0DLa/0zyDv9IpEd20P09C4sVTdM3/ciQOA6Oz+x71keIiexzMPSZg46Kx/R7W5dw9vs9qhlIvjuFEyyf54i4NiBHbbHWMVBo9fjGJHvWUzVkox1ovh250A8yw5jtdP4ABY3ogSaQ/qoCrEQZodt9990w8C1isdZsek8MlxWNpokk5Gnd7DEJbX6yeuQL24R5I4ThjL1OnaPhNDabIpg47js7bZAlXB0DQG8g8OJhwbSPGJi0M02y7ZpMFQMUk+bVFpdPl4oRy1SW87fPPHy/yVL5/j8lyJruOTShj3BZgrisJmuU210aVj+9hOwHAxQdvxMDQVz4sSOSp1G11VUbWoBbtCNAlqdlwG8gm83uZn2/Zo9iYlvuPTtT30vIrnBeTTFpmkSSZp0mi70aZv73fxMHdWa7S7HtMjaRLW4Tcv1rdb/UPLzUqHeEynlItTrnXR9wW8Pi9r5XvXtFXtkLD0fkWhB8kk9h6wP21bVfH0UgkTRWmj9Q4sErHo3jrswcXDaFrUTngncSeVMAjDMKpCFUaV8G8sVXnz3CCKotBsO/0DVtv1WVitMzmcjjYbe2uN3RU7d4sSFGpUGzbr5TYpy2BsIImmq4wPpBncVwVzp5X5TjvSZtfD1FUaLYc7a3Vcz8eKGcxP5DB1lUzSRFEULs8PMFxM0uy4OJ4fdeXQVD68tc3YQLKfGFbMxklYBrbj99ssX54r0e56/XbpEB0kX54v0bWjiuS7E9MsU6PZC25RVQXXC6KfLW5wbjJPveWgaSqp+OECV5Y2Gv2kmrXtNumE2T9E1jSVbMpA7R3Cq6pyZPdnrWmzstkCwHEdFtYa9wWsi2fj9bOD/C++co4bi1UmR9J89rUxEpbBq/N7X4vpZAxooqoqihIdDmxVO7huQKPtsrBaZ3QgRSpucGe1zsRQmsmhDB3bY227RSymYbs+d1brZJLmI5+F+2VTsQfeB67rs1bpQAiaohASBXbqWhRAWmva97VFT1oGG5U2ra5Hq+1wd71BIW0xXEoyUkw+sBvNblZMo3Ev/rw/Zhxku9bBcQOCMOzPB9KJp8vKXlir99vGRgsd88B7st11+0Fw9Zbz1Ml34vSxYvreZ/EBz4zXzgwyVEiwVekyPZYhFTe5csem1XGxDI16yyaqqg+2E9D1bAxdQUHBMCAZ00mnDN65PIIfwkgpSdf22a53KPaqxu1v7wvRIeIrc0U0TaHasDF0lXor+r5BNuwfImqqwoWZIs220+sacv/P8MpskaFCnI7t95NIhBBPJ2ZqJCwDXY/uRVUFVdWYG01zc7VGKq6hKipb1Q5jAykUoiramWQMwpBaw0bTVFQvJFSiOOlMOsZAziKma9SbTj+J46D5iRDieGiqwsRQmnrLRlEUri1UKNe6eEFU6KFle/1Apt1z8Z3Eix3VVrdfRa/esrFdv19FdaSY5NJcEbdXvfX6YhWI1ouGpvLKbBHPD0gnzD0BCW+cG+LuWg0/gIG8hfUEz/vlzSbV3iFpp+uRTcYoZFRUVdlTiGJ1q0UqYRwqwH+okCCdMKJklYS5JxDq5lKt3+nj5nKNdMI81Bg3O5btVwLevX7x/ADPiwK9VFWh3b1XOCMZ3z/vO/o9tzAMKde7/Y6l2jNcf+i6ylc+OcXqdgvL1PpBsk9j/1r1QXtML6OEFXXCqjXsXqc9lY7tkYobJBMGnu9HB6F+1LGzlI3TcTxeOzuI54X9ezyTMPv7aDeXq8yNZvdUQff9gBtLUZGmqOCKy8RQimTcpNGyyT5gvZ6MR0GLzbaL2uvYemulFq0dwpDNapu4pRMzNCxTZ7SUIpuM9ccSVVWYGsng+yGjA3v3r3c6cy6uN0glTDRNJQxDxg8okHIY+9fuT7s/AFDIWFyeH8D1A1RFQVPV3v6trHvE40snDBq9PSeUg/cJTpPdY71paMyNZdF1DVNXScaNxzoH0TSNv/rV81y9W8VxfT68tU0YQteJukc5bsDiegNNU0jFDdYrbT5zaQRNV7mzWkdVFYaLSQxdYX48y42lGhPDGZpth698cpLPvDbGn/54mdvLdapNm2q9S8zQSSUMLFOPOmgbGpMjGXJJk5ip8fb54f586cxEjo1Km3YvCP1QvxslOnNsd13OT+VJxo3+XAnl4Wd4RzEv6NgeHdtjpJTED0J0XT10QOp2rRMV6QIc197bHU2JzqPEi2P/nvxBCZXHZWkjWiOsbDXZqnYoZOK0OlFXnR2KElXvDsNo/RL0AiRvLFV5db5EpW6jaVFX0kozej0Ol5LkUzH+8pfP0eq4fOeDtf7+fS4Vw9BVcukYuqqwut0il44xkI+TjOs4bkA6aaKpCvmMxfW7FUxdxfNDyrW9icj757izo1nGiinajotpqFyYKXJ5vsitpRqeHyWuHfZcf8/XPWCNYhrRmVK53mVhrYFlamzXOnzvgzV+9pOTT/YPIo7db/7xDWzHZ34ix6XZ4nFfzktBVRV+9pNT/MxbE7x3Y4vvfrDK9cUqC6v1fiD47kRciMaRc1N5zk3lOT9d4MxE7rHPZ4V41rqOx53VOoRR/M/tlTqvzBZpdlzWtlu0Oi6JuI5lalyaLdGxPfLpGAoKr8wW8f2QfNpkcjjNxwtVEpaBoin80fcWcbwAXYsKqpTr92LpknFjTxLETK+AK0TPrR9d3aTRctC1aG29k6jQsb2HdgjfH/v0qD2lu2uNPWf9qYTZf34mrL17eNlUjEtzJZrtqOiMFTv8vdzuutxdawD04zXOTz9ZQuRx7Zvpuoppaji9PeeYqUkCh3gszY7D7ZUoydp2fa7frfLOpdFjvqrHM5S//xzipHXhgCgZuGP7EELZt/vxU+JkkpnlCTMzmmFhrYHnBVEb+ozFj69tsLrVppCJ8er8g6u0DBcTeH7UqjSbMvuTp3Tc2HMjR4eUAVavGsVBwjCqDNixfQxdJWZqvDo/wEgpyVa1i6rCUD7ajAgJmRhM8+GtLRQlaknseSExQ+sfKufTMWbHsmz1JnpnpgpMD6dZXI8mQBNDaWKmzuJ6g07Xo5i1HhoY+qOrG3x4axuAK7e3+XOfmz30Qsr1gz1vO27AR7e36dp+//e4u6r+8+B5e6/J3ff2QeYn8jTaLmvbbYo5i8tzsvA/bm+eHyIIojbdVkxjeiTD+GD6SCo3aKrCuck8S5tNVEXhlZkCq+U2SxtNMkmTeEzH96PsS0W5/3Xu+QGWqTM/nmO93EbX1T2VKXfzg4AwjLrWAIwMpPD8AEPTeOfycD9AbEcqbjAzmiUR00lZBstbTdIJA1VR6doed9ebJC0dQ1e52KtktWMgnyCb8vng1jZL6w2u3CmTTcXIpky+9unpfmJEPKbvaWVoGtqBwRqWqR84FsyN57i7Vsf3Q9IJg2t3K/3f1bmpwqEOYvb/Pnfb/fvWVIVPXx6jY/tcX6wyWIjzH39u7rG+/mG/7/63xbNTzMb5xCvDnJ0skIzrjPQ25Pe/Fl+dK+G4PpW6zZmJHIWMxfJmk2JWx+1VxwqC6N/N9QOS8SjBabPSwXZ9sqnesy8Ez3+y6g4Pug9MQ2NiMMV2rUsqniJuGdHPoShUGw7VhsPUSKZf1Q6itt8blQ6tjkutZXNnpc5dpUEmFePcAypJ7TfZq7LRtX0G8vEHHmjfWa2zUY4OC7PJ6OClkLV4/czg4/4K9vC8cN/bB983F+eKXLldxvMCpkcyEvQq7mOZOj/95jg/ubGFpqp84uLQgR83XEzt2QgoZCxy6RjDA0naXQ8/CMimYrQ6Lp4fYuo6+bRJGESJX2ODKV6ZLVKu36scU8omKGRiuF7AYCGx55m4Q9eig8TF9QbXFipAtMlqO/6eTUZNVR753Nv/rBdCPB3L1Pnsq6P4QcBHt8r4QcjsaIZouq1E97SiMFJMMFCIEpgTcYONSgc/CEglzH5VW1PXyGVMJgbSdL2AxY0mzo+XaXRcXutVhn3QXFkI8XypqsK5qTyLGw1UReH1swVur0ZBSorOnqDmXNpiIB+n0/UoZC1ihsbadlRZL2Hp/U6PmWSM18/G2Ch3SVgan7o00p/77+4YBvfWGwf5wptj/OCKgR8EvDpf2hMYfli71yuapvaDujUtSuJodbx7H+sdfm3zoNbae/Y5du1ZHMZBe4xRJ8QWXSe6zjCEN87tXIPJ514b48Nb28QM7YHzvqdxZ7Xer164UW5zcab4TDsF67p6pNXhc+kYk8NpKnWbhKUf2MX0ZWWZBsVcnMWNBumkSS4VY6iQ4OxEjnwmTj5l8sHNMjFDRdcUYobO6ECKUi6OqiicnczT7Lh0uh7lRocbi1UUReHGYpWvvzPTT7IOwrBfqAWiAgo7BVEetp8QMw2Gi0mutSpoisL0SLp/fxm6xkgpRcLSex2so9fM/rHkoG7Q7a7b7wZ2Z7VGKRvvB5U+zv262+W5Irbrs13tMlJKHFm1uXhM581zQyyuNwjCkPHB9LF36hYn06cvjfL9j1bp2D5nJ/NP3SnmRVfMxrFdn1oj6q59cabQr/L6JM8YTdO4OBOda2VTMa4uVHD9gHzy3thRaXRptqNgsI/ubO+pmmvoKlZM4+femeZ3vrtAteHwhTfH+MzlMRzXx/PDfnB4EEbnHp4fMj2aQVGisW10MIWpaeTSMYq7ilfZjs/SRhPfD9msdpkbzz60Y2/CMnAcj+t3K1EQWRDylU9NoqkKrY7HmcmHf/7tXuViiPZy9p+jHMbOWcHO3DB4jLF3/5nkK7MltmttOrbPual8//kiXgwTQ2leOzvAUq/LzJtnn27//Ch5u4okbde6+H6I7Xh87vUxbDcq5jZcTBIzNPwg3PM6db2Aj+6UsXvn9YaukkmYbFY6mIbG5fmB/hyk0XZZ3WoxMRxV0u/aPtVGlxtLNarNqADa1z49RS5tkdj18k3FDaZHM71OyiGlbJwzE1nWKx1URemfZex47cwgP/vpJh/cLJPPxPhLPzOPoWvELR2jpe659se1f42yc4b74+sbxGN6/6yo33VFnDjbtQ7/7s9uA/BXv3peOj08Z5qm8ua5Qd48F42Rvh8VeLy73mCx99/d9QYLq1HC53c/XOO7H64BO92FMpyfKjAxmGKwkGCokGCwkJDkDnFsfD+MWkP17DxzHddjdauF4wUYLZWBbJzxoXg/gbjVcfckLM5PFijlU2iaQi4V44MbW6xvt4nHdF7bdyZ/0Jn6zvPL9wN8P6DZcdBUldGBJF3Ho1zrkkoYzIw/uLPG/tin/c/f/R4WI5OwTD7/2hgf3NrGNFTevjiMrqn9znqPY/9eyv6Yq8eRjBvMjmXZrHSwYtojf8ajoqoqX3xrnB9e3QDoj4FCHFYYRLENrW5U/OVJOsIdNytmoWuwM402deh2PazH6FT5IhgpJdiud/C9kGLW2pMYL06ek/XqExi6dl9V9dfPDvL62Ud/rqIoB26UmqbO3FiWm72M8nOT+UNV1E3GDYrZaDKXTcW4OFvA0AdwPZ+PbpWxXR9NUyhkLLaqXd48Fx1oun7AdClJc9EhDKOvMzkcVRmfGo7aiU4MpkhYxn1tyqZHDpc8cbeX/AFRosnmY7SpHswn2O61lDN0lVRcZ2373gZIpW4zOfyQL/AMDOYTbNW6UScCXX1ox5Xd3pAJ1wvF1FU+8+qzy0BNJcw9rW/nEyaGrvYrJI2Ukv0Dx2wyRjJu0Oq4KEr0dwD5jPXIwyTL1ClkLTw/oNawyaVjlPJxzk8VHhgAMpCPM5CPc2m+xMpmk8X1BksbTTwvQO+NE0EQUm3Y9wVkNNoOnhf0gxe6veqESxuNIzv4ihkaZ3oHvXfX6v1D7jCESqN7qG4Cuw0Xk9SaDkEQYsW0+zr4pOIG/9HnjyZxY7dcKtYP4FFVpZ9IIJ6P0VKK0Ud0vNd1lU9fGtnzvpFSkuuLVXRNIZ+J7k0UGO3dl6VcnFIuTjFn9Sto5NIxkke8iBguJpkfz5NPd1AU+NSlYfJpi5tL9yrOVOrdPUkcrh/w+tkBPl4o89FthyCMNla6tnfQtziQpqkPbYG6Y6eyB0S/s0tzxQcGcD2OkX1zkswDgtfnx3KYvarHhYx1YJC8ECOl1IEBSw//nCS1lkPKMnjtTKmfhJtNWWRSJipREFE+Y1HIWnzy4jDzE3muL1ao9BI5JofTe+7NB9HUaLNzJyEKokNTtzfHFEIcn3zG4i/81Dx/4afg+x+tEYZRFZWNShvb9UnGdM5NF/ipN8Zptl3+/bdv0+56veBOjSCIqkrl0zG++s40713f5MrtMomYjq6pLK03+kkcQogXRzJu9Nfx7360xthAujen3nvgODGUuq9y685hY7Vhc32x0p/Pnp8uHFjpOpeKEbd0OodYL+bS1lNXcx0qJKg0osCsmBkVsjD0aD5dbzlcu1shCELiMZ1C5vEPTvcbG0ixsBpVATuq+bppqOw04DCNvXOliaH0kSY97Lddu7f+aXc9bNc/cWuQ4WLysSoOvyw6tsdQPsErMyW6joeuq3z101P9oIkzfo5cOk6l3mV5s8lIr5v2xdkoYPej29tYpo6aV2h13X6wV63p0Gg7/b0yQ4+6dm9WOmR6hRAgSu4efMjectf2SCdM3jof7eV3nagr+K2VGoQwOpDk3GT+sYPMqk27H4hZyFg0u25UHTNlPnA/8VFUVeWTF5/NRn08pnP2kMUphHiQhKXzhTcnjvsynqv9+6P7z/ie1MxolpnRLL4fBXF3uh6lXJxWJ3pQJyydMOwFdadM6k2nt7+aIh43+Z/99Jk9X880ornJZrVDq+uSTpiUsnEG83F0TWXuEd2tay2nX80Xouf2w5IwAOptt19Z3/MCqg2Hn3pj/FA//+590VbHxXb8x6oaDNGZxJ7fzcDhn9HFbJz1chvbic59p0czXJLCcS+0y3MlLs894rDiGAwXE1SbNpqqRMkOMR1dV7FM7b65taYqDBcTrPXOOAsZ6173GqJuhUPFRFSMRom6hu9449xgPwF7xx98724/YNXzApY3WwcmIE2PZvvrloF8PEqyzTz4/v76O7N8/Z3ZPe970nP9R8lnLD7/2jjtjkelYaMocOEJK4CL4/d//82f4Lg+F6YLvHVeYjqOm6apjA6kGB1I7TnHdVyfm0s1Pl4oc3WhwscLZbZrXW4u1facn+7IpaMk/emRDO9cHuHV+QE5exHPRcLSyaVj0bNSgZHeXK/d9UjEDawgRFUVkpaBokRxMDtFN3YSr0u5OAO9/wCu3NnmwnSRC9PRvC8k7He1MA21P7c9SLPjYhoa44PR813TFM5PFfpxhGOPOEvdH/v0MMPFJI32vbP+/YXqxofSjB/BHl4qbpBJmlHXj12xHE9qJwbkeSvlEnzlU9PP/fuK02G4mGR8MM12LYopujR/8taFHpBNmrS7USxwIn6y9tx3TA5laLRcQqKzn6R0yDzRTuarUBy5d14d5cxkDkVR+huNt5Zr1Jo2k8Pp+zYfFUVhdCCFHwQEfkjC0lnfblPKx7FMnUtzRTq2R8zUUVUFXVf7WbjxWDR5fO3MAI4XkIhFH/NKr2VbzFD7myNPKpM0+22qFeXginoPEo/pvHqmRNfxscyoXauqKv1DpvgxZN5ZMZ1X50t0bQ+rF4QjxGFMDWf6i6zdwc6qqnBhukDb9jB19bEr8c6P5xgpJnntTIkwhJipH3oDYnQgRT5j8cpskY1Km9Wtdv9zVU1hZbOJrqsM5OIoyk7l4d711zr9JLP8E1R3urNao1y3GRtIPTDYdX9QeCL2+BOddMLktTMlbDcgHtMfq1X809A0lYszxSf+dxV7bdeiCvWFjHWoQ7Fm26HWcjANjbWtJkEIF6byj6xam03F7r1eTI2O0+tyte/fbzCfIJM08XvP3aOuyqPrKl94c5SbizVSCZOZsSztrgsK/cod+5+B8ViUNJRJmhQyFsVMDMPQGTxEMPnjSsR06l70bNc05che3wfNSQ4yXEySS8Xwg/CJA0yEOEgqYTI5lO4nRw8VEiTjBrmkia6rtLseZyayqJpKIW0x36tOc2YiT6vjoqnKYx3cq6qCFdP6XebMXoVfIcSLY+f5mkvHOD9dQFejLj6vzJXQVIVcOsYX3hznB1c2cH2fetMhn46RiBuUcnGmhjPEdJXtaqe/tn7cznI7duY3Sct4oupUQojDGx1McX25iuMEWKbGa2cHmRvLPfJZ/7D5bBAEXL9bo227zI5leeU5rheTcYNX5wei5ANTQ9u1l5VJHv2aeaiQIJs0j2y+buga40NpWm0HFOW+4gyO67NV7aBrUVDWUa/PEpberyyuayqmBH2caPVWlGCRihskLAPDUJkYSmE7PvmsRaUedbacGEpRyiX69+pb54cIwyjZaece2r2HvlFpU+4l/Oi6el+xh5nRLEOFBIqiYOoqnUPsLZuGRhCGVOpdNFVlcjhNKRcnlTDw/JDkE+5H7N5fyyRjzE/kGMglnsn+hhDi8W3XOtxda5BOGsyPv7gJTCFQSFt0LZ9Lc0U0VaFS71LKxTF0jZihcW4yT6uX8P6wathnJvOMlJK0Oi6moZJOxg599pbYN97uf/sgmaTZH7NRuNdx+RDiMZ1W5968wHiCeZyiKP3fzUF7zw9j6CqX5naeP5oEo4onluqdnSXjOrdXajhOQCEbe+D8fXI40w9uNA2N965v9hOoChmLhGXQcTx0VWWo+PAziVzaZG271X/7QYnkYwMpChmLMAyfuIiUFdMppmMsbbUYLh5dZf6oA1mHN88NoqgKqbjR72wmTpY//uES3/lgDV1T+Dv/yWsyH36BmYbGhZkCF2buBZNvVjp8vFDm2t0Ka9st1stt1stt2l2PasOm2rC5ulDhd7+zQDZl8vV3Zvi5z0yf+q5s4ngpisKZiRztroe2ax481OsU43k+uq4xOZohl47RaruMlFL94s3BAc+9/fE4g/nEA/f69rN6e5Q7cXaZRIyZ0Uw/jvAo55OPOut3PZ/Nagddfbo9vJ2uyk8yn36R1Zo2t5ZrJGIG56Zf3LXgaXHSz9yiYjSTbFa7xC39RHbiSFk6k8NZNipRsvhwKXniunAAzI1nqTa7dG2PufE88SeIbRQvjpP3ChRHxvOCPR03Srl7mxvv39zivWubAHy8UOZn3h5nuLA3E1ZTozZJlYZNqxtVxt+odrg8V4o6WOwaqM9P5VnZaqGpCmMD0dcxDW3PgbHW22w4Cp+9PMIPr23S7rqcmcg/dsCKrqmk4vd+N+em8qxvt9F1lfHBx6uufFR0TZWNGNG3//59mAdtMqpPec89TVDETvXIZNzAikWBCemEwepmq99WuNP1mBrJkLAMzoznyCYNCtkYClElnMNmy+/8rq7drfC9XpvTK7e3+eqnp/aMeztKuTieH1BvOWSS5hNXyDF07akT0p7E0/67isjyZpPljajqxOp2i8tzpYcGOTXbDh/dKUMI7368jq6pxGM6i+sN/vznoipMQRC9tlX13r278/rc/XrZ/fzZ71m24XW9gI8XqnheQMeJEqYmhtKcGc+xVetgmXr/Gb7j7GSe5c0mhazFxFCaSt1mIB/n4sy9jPvHGa8eZm48x9JGA98PGS4ljzShcf+c5EEet8KdEIexUWlzZ7XO/HieG4sVBvJxvv6ZaZY3W1y5UyYVN/joTlRdeyAfx/UC3nl1FM8LnvhZfHYyz8pmiyAMGRtIHdkh0UHjnBAvq6d5/u08X9fKLdbLLQxNY6PSJZ00+92rEpaBaar4nYBCOsbEcIZM0mS4l0g5XErxxbcnublcJWkZvNGrpv04mh2XK3fK/S51c+PZR1aXFUI8vp3n58XpAtfuVijXbYZLCWbHcvc96x80tjxoPvv9j9a5vlgF4PpSlT//2dnnul40dPWBh7LPYs18lPN1TVUO3M8E8IOQK7fLtLsumqbS6rqH6i74OM5M5FjaaOL7ISOl5EMPxsWLrda0uXq30i+OMDuW5cxEjo1yB01TqDUdvvWTFSDah//6O9Pk0tYD79Xde+g//eYYP/x4E9cLuDRXPLCIxO59wcPsLau9Qg6OG6CqUZVNePr9iFw6xvRohmrDJhU3GCklD70OOap9BSFedMf1Wq81bX7vuwv9wOhO1+Py/IvXxS8MQz6+U6bdjToAL67XMXUNVVWoNW0uz5f6z8vDzndSCbOfgLF/L+NhexzphMnceJZyvUs8pjN6iK6sn3xlBKM3b5gde7y11ZmJHMub0bxgdCD5xAmwivLkZwdHeYYrXm6GrpFJxghDBRQIAh5YWAn2zmXOTRVY22qhaQrjg2laHZfNantPpe8Hef1M1Omg3nKYHEozcMD54I5HdcB71Hi9sFrnm+9F87vbKzV++g2F8aH0U43znh/w0a3t/hnqUDEhXe9OqFvLNf7Zf/djAP7nXzrL1EjmeC9IPLaBfJyB/Biff32s/74wDGl1XNbKbda327x3Y5PvvL9KpWHz3/7+Vf77P7rOz7w1zl/8whyTw/JvLp4NRVHu20ucn8jTcXzWt9sMFeJkUzEW16IYiGrT4fJ86b79tCAIUFWV4WKST18ejpK9EyZvnB3sxTU8+lkWMzTOTuZZL7cwdY2xwRTaM4x5e9DeqB+EfHTr3h5esxPNxZ/Uk8ynX+Q9jXbX43e/u4DjRIX/qs0un9rVjUgcrd0xRXByz9xUVX1g0eSTQNd1vvDmGH/y7hKKAl98a+zRn/QC2qx2qDQcgiBkebNJEIaP/qQX1Is8Tj4vEon2EvK8gD/+4SJr221SCYMvfmLyvsy41a1o0ta1PX54dYNv/WSF8YE0f/sXLpNLRdUnOl2f4WKSruPjuD5+EKJ4Ae2ue1/SRMIymH9E++GjZJr6njaHTyudMPstVoU4TqtbTb75oxUc3+fMeO7ET6AVRekfcNRbDq7X7P9dtWkz1ftzPmOh6SpX7lSiSpQKzI5mH/oQ3/27OjuZ71eqgqg95OpW68AkDogq7svm58ttd1tu3w97FdkeHGBUbzkQgt9LAEpYBvGYTrVh03U8bi7V+PG1DVRV4RMXh5gfz/PDqxt8dHsbXVP57Kuj97ULf97aXbffNQuie3BiKE0+Yz2wOoxpaA8MVmp3Pf7w+wvUmg7FbJwvvT3+yK4kD2Po6pEHRgnxIqg17f7/y3UbLwgZH8rw+tlB/CBko9zmzloDiMajq3crLK43+8+3T14cfuzvaZn6U21SHuTOao1vv7+KH4Rcnivx2pkXL+BDiOdhvdzmT360hOP4zI5l+cyro4/9NXaer9u1DoZ2b/6xutXqPwvrLQdDVfl4rU7X8Wl1PYpZi2+/v0oqYfAzb00wNZJ5qoPgetNm957fzjNdCHF0Prq9zY+uRuuE0WKS13qBRRDdgzuHgrWmzR/+YJF2x2W4mOSn3xw/1Kb22na7/2fH8dmudUhYx7vuOEketJ/ZtT0+uLXF0mYTTVV4bX7gyNcqhv7gtZY4WWpNG8Lo/9/+YIVK3WawkOBrn57mjXOD/N537/Q/1vdD1rc75A7ZfTZhmXzu9aM9aOw4PqqqMFKK9sV2OsIchcF8gsH84Q95D3OOIcRp4Dgef12e/R4AAQAASURBVPCDRcq1Lrl0jC++PXmozg5HZb3c7idwAKxstV7IJA7PD/oJHBBd9/Rwpr+P/yQFKq7eqfCDj6PCT2+fH+5Xnt09R/vEhSHmJ+6vSFvMxh9rfWTq6hOf5zxsD1aIk6jRchjI3bt/Wh33UAmjqbjB/ESu/3YuHTt0BWNdV3n7wjCVepdv/GCR73ywxthgii+8MfZYBWm+88EqN5aqmJrG598YZeSAJK7VXR0/CKOE+u9dWX/s9dxu7a7XT+CAe3vK4mS5vVLjv/yX38Jxfd48N8hf/vK5474kcUQURSGVMJlPmMyP5/jsa6P87b94mW9/sMq/+ZObfLxQ4fe/d5ff/95d3r4wxM//9ByXZksPTWIT4qhcnitxeS7685Xb5f77gyCk2XaI7ZrT/ujqBh/uil+YH88/cae+TNIkkzzeNbzteHx0Z5u76w00VeHyXOnIz0cfZHG9wZ/9ZAXPD7g4U+TNc4OP/qTnbLvW6SdwwN69ZHH0dmKKdr8tZ27Pn+cHXFussF3voigKVxeqfO61iRP3TN4sd8j14rPDECr17oFrkxdZve3wje8v0mg7DBbifPGtyZc2mePl/KlfcjeXav0Hb7Pt8uOrG/d9TKEXrHlzuUrH8TA0je16l9/51m1gbwavZUatczVVQVWVR1anEEI8uR9cWcfx/GjTb7HKZuX0TKLjMa1f3Q/u7/Txk2ub/YPjjXKH60uVh369731073d1baGCru2dcJVyMhkWD7a7goKqKsQfcXC683rVNJWkpWP2JpaJuEEQBPzo2gZhGAVkfP+jdWpNm49ubUMYBSV8v9cl5jjF97UXfdrKau/f2KTWdIBoA+DKwsPvWSFeVql4tIF5bbFKQIihKbx3fZN2r9NdKq6jaQqaGv23Xevueb5tVV+MucD3PlqPgj5CeP/GFu2uc9yXJMSxePfj9f6m963lWr9AwpPYP18tZu69nYob3F6JEjgA7m40uNp71jbbLu9d33zi77tj/3z8aTrxCSHu5zhR4ZSddcL1peqev999z/342gbtXmGCte0Wd1Zrh/oexey9QHBNU8ifwBbtL6KO7bKy1eol8ofcWq0f9yWJF9hOlckbi1U2yx0URaFSt/nO+6vU205/Hx4ABYq5471PLVPb0/nyOJ//hznHEOI0+OhOmXKtC0SFZT64tfVcv38xa7E7/6HwgGIux03XVGK7iuzkU7F+4kZ0Nvl4Hb48L+AHH68RhlHAww8+XsPzgvvmaN+/st7vyiGEOBq75xeK8ujOF0fp3Y83aNtRQtjyRpO7641Df+5mpc2NxWrUtczz+cGV9QM/rpS17vu83eu5WyuHW8/tFo9pe85vkpbs0Zw03/zxMn//n3+TesthfjzLf/5Lbz1xZyVxMmiayudeG+P//Hd/il//zz7PO5dHUJQo3uMf/otv8Tf/j7/HP////pjf/c4dPry1zeJ6g61qh41ym6WNBrdXanx8p8yPr23wnQ9W+ZMfLvG731ng//cfbvLf/cE1fvMbN/i97y7w3Q9Wex27ZL4iHi2V2PsM3t3xqta0+fAFi194Wu2uy9JGs7+Hd+c57uF9/8p6VEAzhI9ubVNtdJ/b9z6sfDq2J0armH0x14KnxX1nbjKfOxa2G/DBzTJBGHXr+cmNLYLAf/QnvmDyu+5XXVfJpk7e/fuTa5s02lFMyWHiQE8zibZ/yYRhiO15hGHY39wMD2in8+a5QWKGxvJGnbbt97Ocwl3z/rOTeVa2mgzk7wWSDOQTD6xU7vkBCvTbGQshHl8QPvztk0xVFM6M51grt7FMjbF9rY/3t/56ZCewfX9/fqpAIROnUu8yPpQ6cRmo4vmaGEpj6Cq261PKxR9ZBSqbijE3HlXM/vOfn2Ftu0MYhFyeL0VVnPa9Hvc/e8P9H0C0YAiCAEN/vAPIJ2UaGuenC2xWovbjI0/ZjWb/T3TQfEMIAaWcBQokLR1dVzENvX8DzY/nSFgGqYRJpWGTSZosrDXo7Ko8GYYhjutj6OoTVZ08MvvOByS+Qbyswn0T9KeZr08OZXj7gsdWtctALtGvCut6PtlUjIG8RduOuoV1bH/PfPkonrvZVIwzEzmqTZukZTB4gtsjC/EiCcMQ1wv692nQGyjiMZ2p4RRt2yeXiu3pcvukewGfvjRCIm7Q7rqcmcj3g8nF09FUlVI2TqvjoqoKxRc02FW8GNIJg7HBJFfu6Fgx/d6ePNG8YWcfvtZ0mBrJPLBr7POiayrnp/Osl9vomspo6fg61Qb7FhmyryBOq/0v7f1rimetmI3zhTfGubNaJ500uTxXPPDjHNdH19QjqU65Mx96nL0MRVE4P1NgbasFCrx6ZiCqHOv6DOYTT7SHGj7gz7sFp+kQRogXxPhgCl1T6ToexWx8TwDpUXj4GPOYZ427OF5AEIT9cfBBw8P8RJ4ghI1ym+FigsWNJssb94p8hE+wb2roGhemC2xU2hi6KmecJ0y76/JP/z/v4vlRF+v/3d/85FMXUhMny4WZAhdmPsnKZpP/8U9u8sc/XKRc7/K731ngd7+zcCTfQ9dUJofTzI/nmB/PMjeeY3ok88D4raPiByG1ps1WtYPt+ARBSBCGJOMGqYRBNhk7scWB2l2XzUqHRtvB8QJc18cwNBKWTtIyKGatI3+GPWv7n8G7EykPE7/wPB1FjKGu7dvDO2Tn0yMRPPmc43lJJUy++PYk1xcrJCyDV+dK931MEIT4zzFm5TTLpmLMT+SoNW2SceOxutW+aFzPR1XVE5uQmrB07F5i96MK+r6oPvvaGD+5vkHX8Tk/lX+uHV2PymPHgZ5iJ+9fTzwx2/X5+HaZdtfF9QJ0TSUZ13ntzP1tkVVV5fL8AGOlNP/it96j1nTIJA2+9umZ/scYusrUcOZQ33tpo8HKZrSxOjOS3ZP4IYQ4vLfODfLN95bx/ZDp0QxDpySQarvW6VUqbqGpCkPFJJnk3jbIr86X2Kp0aNvRgvKgFua7vXl+kD/t/a5mx7IM5BMMnOBJsHi+VFVhdODwm+CeH7C61aLd9YgZGq+fHdiT+HF5vsT7N7ZQFHjr/BC5tMXZqTzXFipomsKb54f2fL1G2+Ha3Qq+H1LIWMyNZ59LcHZU9f9oWohemi2ytt2i2XbJpWOcny4cydcV4rQIgpDrixVqTQddU/ncq6P85OYWYQiX5or9hfbEUJqJoXuJjUOFZP/5Nj2SZq3c4fZKg5gZJWLFnvGG/IO8eWGA734QVbC8OFuUIFHx0nrz/CB/8qNlPC9gcjjN2GPMJ3ZrdlyuLVTw/ICBfJwzEzmCIOTqQoVG20HXVd48P4TtBtiOz9RQhiAMKNdt4jHtwHX+k8hnLPISnCzEkXE9nyt3ynRtHyumMVyI8+7VTRTg86+NM1Q8eMx4/cwA5VqHju0zkI8zO3q4Obuuq7x5bvAIfwIB0dh4cabA9cUqmqbw9gX5HYuDXbtb4f0bW3Qdn1I2zuRwmuXNJqm4wScuDvWTtS7PH81z+6gkLIOZQ44zz9KZ8TwLq1E12qOc3wjxorkwU2Bpo0Gt6ZBOmFyePziJ4lkaH0ozPpQ+8O/8IOTqQplm28XQVc5PF56qar7r+Xx8p0LH9rBiUVDyYQOCYobG1Mi9c8knXW/BvXnSD3tdft44O9graKfy2nyJ925EHVHePD8YFekRQhwZRVEYeUaJop4f8PGdcv+s5vzM3v3S188O8EfvLuE4PsPFJFPDB499+y2s1VnfbhMS0rF9UgmDtx6y1jo7mefsZHSOWczG96zn5safbJ6VjBvMHNH5jXi+4jGdX/jiGVJxk//o87MnNuBRPL3RgRT/6//kNX75L1ziJze2eO/6JgurdVa3W7Q6Lh3bQ1VVDD36L2ZoWKaGZerEev+3TI2YqeH6Ac22S7neZWmjieP63FqucWu5xu99N/p+mqowNZxhrpfUMT+eZXQgRcIyHvk69IMQ2/GoNm3KtS7levTfdq3LVrUT/b/WoVzr4j8i6TUVNxguJhgqJhkpJhnMxylm4xSzFsVsnHTSfO73he36tDou1YbNernNRqX3X7nNRiXqiNLsdVF6mM+9Nsrf/+ufeA5XfDQe9gx+VPzC87S82UuAVGB6JPPEwe659L49vFee38/05oVBvv3+Kr4fcmYi98KeswwVEg+MO2t3XT5eqOB5AZmkydnJ/JEk9b/MChnrhe1+eVg3lqqUa11UVeHMRG5PMaqTIGnpvDZf4lvvrwLRml/XT14IvamrvH1h+Lgv46k8bhzoaaaEUr7o0N5//30ALl++fMxX8mQWVuusl9v9twfycaaG04fafKw2u+SesO2O6/n86Opm/21VVXj7wvFN9oR4Gu+++y6maR7rOOB5AV4QPLIzwEnyo6sbNFpOv23x9EiGbCrG5fm9md5BEOB4h//ZT+PvShy/g8aB1a0Wi7vabg8WEkyP7E10dLyovJKp33vuOk60Gafre5/FH93eptm+tzF0bip/4hY/O7qOJ/egOJWedk5Qrne5sVjtv51NmcyN5QiCAPMR94znBQRBwFa9y9L6vSpuQ4XEnmCG523nuh51/UKcFg8aBx53znqQqwtlak2n//b8RA7fD7m9Uuu/r5CxmB3L7PleXcfD1FUJMhLiOXnc+cDieoPVrRYAfhAlXu0UL4g23YcemLx9FGOLOFoPWs+Jl89BY0G95fDdD1b7+/ExU+O1MyVGSylMXZU582OQ+Y04CY7i3OBF3UPbqLS5s1Lvv13IWsyP55746+2eDwGMlJJ7ilc8bwft2T7s/UI8yItwfihgZav5yP3Sx11bdWyP93uJXQAo8GY/8etwZD338pCxQByHIAjZqLS5uVzj5lKVG4tVbizVaLSdB35O0up1iwQUVUEh6lXUtX1sx+vPhQ5DVaKCFwlLR+ut29pdl0Y7Skw5DNPQiMeiRJWo+1uUcKAqCoqy8+deV8swutidCt5BGPaqd4e9LvFh1ASh9zHRX0Xv8/yAVicqfHwYqbhBNhUjZmjouoLjBrRtj2bbod31eHW+xD/5X312z+ec9HHguPe7XC/gR71EaziaGMPj+plO+rnp9cUKlbrdf3t2LEspJ0W7D+OkjwMPUm85fHyn3H87GTd4Zfb5F6J4Gn4Q8u6V9f7zKWHpDz2XEc/WaV8nHTbf4HT+9OJA+8eaeEw/9MHHkyZw9L4z/Rk/oMqgJ8RT0XUVndN1cLCz+N6h7Hu7/3GqimUe/mc/jb8r8WLa/3o96PV70IHfgxbs+5+VJ7miwWmdbAvxtO4fN5R+xcdH2fm4/WPFcU+zD3v9Qpx2jztnPcj+zUJFgf3L9+h9e7+XPHeFeLHtntcrKKiqgqFF93C0Dn7ww/woxhZxtE7qAax4PlRl7/NcUUBTVelY9wRkfiNeFi/qa/2+fcqn3HzYv8953PueD0rSkOQNIU6mw+yXPu7aav/XiAJ5H2+MkPWcEOJZUlWF4WKS4WKSz746CkAYhmxWO1FSx1KU3HFzqUa1GQVkt7oere6jEyxipkax1625mLEoZC1KuTilbJxizqKUjZNPx9C0g8e4ru2xXm6ztt1irdxmbavFZrXDdq3DVq1LrWkThuC4Po7rU+PBiSdHTVEgkzQZyCcYyicYLCQYzMd7/4/+nLCMB35+1/H2dHs6LY57v0tR2BNjeBRnn8f1M530c9ODzqnEy23/8v0kviYUouve6TAqyRvHS9ZJkRdzR1A8EyOlFI22S6vr9ieiz4Ohq0wNZ7i7VkdVFWbGjq86sBDixTQ9muHmUo1i1kJVVRKWfl8XAyFeZIP5BLWmTa3lkLQMRkupp/p6k8Nprt+tYns+Q/kEaQnyEOLUyactBvJxNqsdYobG5BNUnRzIJ6g2beq9sWfkKcceIcSLY3IoTcf2sF2/dxBmEYYhlaxNud4lbuqMH2O1WiHEkxkqJKg3HRodh2wqxvRImqXNqBL17Fj2mK9OCHGUUgmT+Yksra5L1/aYHMrIs1sIcSIVsxbVhk250SUe0xkbfLq9h+Fd86F03GS48HzOKoUQL4dnsV9qmTrjQymWN5poqirnl0KIE0FRlF4iQoJ3Lo/23+96USeKZseh6/h7OlpAlLQRN3VipoYV0zF19akCXK2YztRI5oFd5F0voN116To+Xduj43j4ftjrrhESBvc6bexc505nDoVe8p6y9307BUMVFBSVPe/TNZWkZZBKGFim/lQJxS9qEvZJp2sq08MZFnoxhrOjsmd6XMYHU3S60X1ZyFgUMk9TAFycBqmEyXAxwVq5jdmLBz5pVFVhZjTLndWo4+jMaEYSOcSxkxnFS8TQVV6ZLRKG4XMffIYKCYZkI1YI8QDZVIw3zw8CHMsYJcTTUlWFc1OFI3v9JiyD184OyP0gxCk3M5pleuTJNwY0VeH8EY49QogXhxXTee3M3rmAoijMj+fknhfiBNM1lQsze5/dw5KEKcSpNT2S7R9myrNbCHFSKYrC/MTRrUO0A+ZDQghxVJ7VfuloKcVIMSnjlhDixDN0lVw6Ri4dO+5LAaLryaZiSJi+2G2wEHVGEcfLMnUuz5dk7Sb2mBzOMDGUPtGviVIuTikXP+7LEKJPepG8hJ7nIBoEIY22Q9d5dBs+IYSAk3uo3bE9Gm2HcFelCvHyedjrt9lxaXfdI/t6QojTYfd93u66NDuPN07s/xpCiNOlY3s0980x5Z4X4uTbfR8/yTpBCHFyRPvjLo7rH/elCCHEUznqdcjLsq6JKl3LXE+I5+1ZjDEHfU2/Fwthy1xPCCHEC0Li9MRRe1nWbuJwgiCk2Yk6DwshjoZ04hDPjB+EfHynTKvjggJzY1mKWcliE0KcPmvbLe6uNQDIpkzOTuZlISP2uLVcY6vaAWCklGRiKH3MVySEeNEsbTRY2WwBUMxazI3njveChBDHbvccM5eOcWYiJ3NMIU6Z2ys1NiuyThDitHK9gI9ub2M7PqqqcHYyTyZpHvdlCSGEeE7urtVZ224DMJCPMzMqNaaFOE08P+DK7TId20NR4OxknmzqxahsL4QQ4uXkByFXbm/T7kbPprnxHIWMddyXJYQ4JYIg5OOFMs22xAILcZSkE4d4ZhotJ0rgAAjpb1QKIcRps7rV6v+51nToSMax2MX1/H4CB0QBmUIIsd/uZ8l2rSuVeoUQrOwaF6oNW+aYQpwyrhf0EzgAVrdb0tlRiFOmUu9iO9G8PghC1suyHyCEEC+LMAxZK987F92sdPD84BivSAhx1Hbv1YShnP0IIYQ4fvWmTbsrzyYhxLPRaDtRAgdAuPccUwjx5CSJQzwzhq4+9G0hhDgt9oxvCuiajHfiHlVVUdV7VbPl9SGEOMjuZ4mqKmiqVNsX4mW3e1xQFFlTC3HaaKpy3zpBuu0Icbrcvz+uHdOVCCGEeN4URdmzD6yqCqrM9YQ4VWSuJ4QQ4kUjcXpCiGdp/5hiyhgjxJGQO0k8M8m4weRwGiumkUmZTI9kjvuShBDimZgbz5FKGFgxjbmxLKYhG7XiHk1VODORI27pJOMGZybzx31JQogX0PxEnmTcIB7TmR/PoUnClxAvvbmxLKlENC7MjmUlGECIU0bdtU5IWDpnJ3LHfUlCiCOWz1iMlJLETI18Jsb4YOq4L0kIIcRzdHYiR8LSiVs6ZyZyexJ4hRAnXzYVze9ipkYuHWNiKH3clySEEOIll0qYTA6niZlRnN7UsMTpCSGOTsIymB7JRLHASZPp0exxX5IQp4J+3BcgTrfhYpLhYvK4L0MIIZ6peEzn4kzxuC9DvMCyqRiXU7HjvgwhxAssFTd4ZVaeJUKIexKWIXNMIU45WScIcfpNDKUloE8IIV5SqYTJpbnScV+GEOIZGh1IMTogibpCCCFeHBKnJ4R4lgYLCQYLieO+DCFOFSnvKoQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEII8RxIEocQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIcRzoIRhGB73RTytX/3VX+WP/uiPWF5e5t/+23/L2bNnAfhrf+2vsbKyQioVtbD8+Z//ef7G3/gbT/x93n333aO4XCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCnEJvvfXWQ/9ef07X8Ux99atf5Zd/+Zf5xV/8xfv+7h/9o3/Ez/zMzxzp9zNN80i/nhDi5HAcB5BxQIiXmYwDQgiQsUAIIeOAEELGASFERMYCIYSMA0IIGQeEECBjgRBCxgEhhIwDQojIzljwKKciieMTn/jEc/k+pmkShiFzc3PP5fsJIV48V65cwTRNLl++fNyXIoQ4Ju+++66MA0IIGQuEEDIOCCFkHBBCADIWCCFkHBBCyDgghIjIWCCEkHFACCHjgBAC4P333z/Ux52KJI6H+fVf/3X+6T/9p8zNzfH3/t7fY2Ji4qm+nuu6XLly5YiuTgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQL4tTncTx67/+64yMjBCGIf/qX/0r/vbf/tv89m//9lN9TcMwmJ+fP6IrFEK8qMIwBEBRlD3vP8lJXEEQoqrKoz9QCCHEiSTjvBBPLwzD++Z/Qpxk8mwQQrzIZIwS4uST+1gIIZ6OjKPiRfags1IhhHiWZOwRQgghxLMm8w3xIjnVSRwjIyNAdLP90i/9Er/2a79GpVIhn88/8ddUFIVEInFUlyiEeAGtbbdYXG+gKApzY1nyGeu4L+mphGHIzeUa5VqXmKFxbiqPFTvVw78QQrxUPD/g6kKFVscllTA4N5lH09TjviwhTpRa0+bGUhU/CBkfSDE6kDruSxLiqd1eqbFZ6WDoKuem8iQs47gvSQghAOjaHlfvVrAdn0LGYm48K4clQpwwjutz9W6FTtcjmzI5M5GXIGQhhHgMrY7LtbsVXC9gIB9nZjR73JckxB7lepdbyzXCMGRiKM1wMXnclySEeAls1zrcXqkThiFTwxkGCxKbJYQQQoijtVFps7BaR1EUZkYzFLPx474k8ZI7tdFdnuextbXVf/t3f/d3KZVKT5XAIYQ4/Vwv4O56gzCMKiDdWqkd9yU9tUrDplzrAmC7PosbjWO+IiGEEEdpbbtFq+MC0Gy7rJfbx3xFQpw8t1dq+H4IISxtNLFd/7gvSYinUmvabFY6QG+NsyZrACHEi2Npo4ntRM/acr1Lud495isSQjyula0Wna4HQK3psFXtHPMVCSHEybK43sD1AgA2Kx1qTfuYr0iIvW6v1AiCkDCEu+sNPD847ksSQpxyYRhye6XeH3vurNXxZewRQgghxBHyg5A7q/V+XOhO8qgQx+lUlGL/lV/5Ff7wD/+Qra0t/ubf/JskEgn+zb/5N/ytv/W3cF0XRVHI5/P8i3/xL477UoUQJ8GuZ/NpeE7vn2ychp9JCCHEPfvHdRnmhXh8991HMmESp4y8pIUQL5JQZqxCnHj37Tce03UIIcRJJWs08aLb8xoN5TUrhHg+ZF9eCCGEEM+TzD3Ei+BUJHH843/8j/nH//gf3/f+3/zN3zyGqxFCnGSGrjI+mGJpo4miwPRI5rgv6anl0xbZVIda00Hv/XxCCCFOj+FigmrDpmN7xC2dwby0lxbicU2PZLi5HFUYHCklscxTsVQWL7FM0qSQsSjXu+iaysSQrAGEEC+OsYEUzbaL6wVkUib5tHXclySEeEwjpST1poPt+qQSBqVc/LgvSQghTpSJoRRX71bw/ZBC1iKbih33JQmxx/RIhtsrNcIQxodSGLp63JckhDjlFEVhaiTDndU6AJNDaTRNxh4hhBBCHB1NVZgcSnN3vQHA1HAGRVGO+arEy04iU4QQYp/RgRRDhQQoCpp68h/UqqpwbqqA5wdoqiKTDyGEOGUMXePyfAnXC+QwTYgnlM9YvJmKEYahHAyJU0FRFOYncrIGEEK8kBKWwetnB/CDEF2eu0KcSJap8+qZktzHQgjxhFIJkzfODhKEMo6KF1MpFyefsUD2yoQQz9FgPkExG5exRwghhBDPzHAxyUCvMOppiAsVJ58kcQghxAFO46aAHAQIIcTpJgkcQjwdVVUA2agRp4usAYQQLypFUdA1ee4KcZLJfSyEEE9HVRVU2YcQLzBN9sqEEMdAxh4hhBBCPGuSvCFeJHKaL4QQQgghhBBCCCGEEEIIIYQQQgghhBBCCPGSWlxv8O/+9BYf3ykf96UIIYQQLwXpxCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgjxEvreh2v8n/6b7+H5IQB/5cvn+KtfO3/MVyWEEEKcbtKJQwghhBBCCCGEEEIIIYQQQgghhBBCCCGEEOIlU2l0+a/+1bt4fsjYQBKA//b3r/K9j9aO+cqEEEKI002SOIQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCFeMr/x+9fo2B7zEzn+b//5F/kLPzUHwH/9bz7A84NjvjohhBDi9JIkDiGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQoiXSMf2+KMf3AXgb/zcRTRN5a9+7TzZlMnqVov/8KOlY75CIYQQ4vSSJA4hhBBCCCGEEEIIIYQQQgghhBBCCCGEEEKIl8i3frJCx/YZLSV59UwJgHhM5z/+fNSN43e+decYr04IIYQ43SSJQwghhBBCCCGEEEIIIYQQQgghhBBCCCGEEOIl8t0P1wD4qTfGURSl//4vf3ISTVX4eKHC7ZXacV2eEEIIcapJEocQQgghhBBCCCGEEEIIIYQQQgghhBBCCCHES8L1fH58bQOAT74ytOfv8hmLT74yDMA3f7z83K9NCCGEeBlIEocQQgghhBBCCCGEEEIIIYQQQgghhBBCCCHES+LDW9t0bJ98OsbcWO6+v//sq6MAfOsnK4Rh+JyvTgghhDj9JIlDCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQ4iXx/s1tAN44N4iqKvf9/ScuDmHoKsubLe6uNZ735QkhhBCnniRxCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQrwkPr5TBuDiTOHAv09YBm+cHQSibhxCCCGEOFqSxCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgjxEvD8gKt3KwBcmD44iQPgU5eGAfjh1Y3ncl1CCCHEy0SSOIQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCFeAndW6tiOTzJuMD6YfuDH7XTiuHa3QrPjPq/LE0IIIV4KksQhhBBCCCGEEEIIIYQQQgghhBBCCCGEEEII8RLY6cJxbiqPqioP/LiBfJyJoRRBCO9d33xelyeEEEK8FCSJQwghhBBCCCGEEEIIIYQQQgghhBBCCCGEEOIlcGe1DsDcWPaRH7vTjeNHVzee6TUJIYQQLxtJ4hBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYR4CdxeqQEwM3KIJI5z95I4wjB8ptclhBBCvEwkiUMIIYQQQgghhBBCCCGEEEIIIYQQQgghhBDilAuCkIVeJ47p0cwjP/7SbBFdU9iodFgvt5/15QkhhBAvDUniEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhDjl1sotuo6PqauMlpKP/HgrpnNmIg/Ah7e2n/XlCSGEEC8NSeIQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEOOVur0RdOCaH02ja4cJHX5ktAvDBTUniEEIIIY6KJHEIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCnHK3V2oAzIxmD/05O0kc0olDCCGEODqSxCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQghxyi2uNwCYHM4c+nMuTBdQFVjdbrFd6zyrSxNCCCFeKpLEIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCHHKLW80ARgfTB36c5Jxg5mxqHOHdOMQQgghjoYkcQghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEKcYkEQsrLVAmBs4PBJHACvzBYB+ECSOIQQQogjIUkcQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEKfYZrWD6wXomsJgIfFYn3tptgTABzcliUMIIYQ4CpLEIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCHGKLW82ARgpJdFU5bE+9+JMAYDF9Qa1pn3k1yaEEEK8bCSJQwghhBBCCCGEEEIIIYQQQgghhBBCCCGEEOIUW96IkjjGBlKP/bnZVIyJoejzPr5TPtLrEkIIIV5GksQhhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIcYqtbD55EgfAxZkiAB/eliQOIYQQ4mmdiiSOX/3VX+WLX/wi586d49q1a/f9/W/91m9x7tw5vvGNbzzX6/L9gHbXxXZ8tqptuo7X/7tqo3tgWzE/CGl3XfwgfJ6XemJ4vd9pIL8fIR6p3fXYrnXwvOC+v+s6Hl3bu+/9QRCwXevQ7jr3/V1/fPKDXR9///uEeFl1HJ/F9TqdjnPgPda1PWzXP6arO1o79753Su5914vmF2Eo8wvxfO3cS27vWb1V67C2HW2c7qwlOrZH54Bn9o6Dns9CiJNnZ61bqXdZWKnRbN+bj+/MIbqOt2dfQQjxcjnOPbHHmW8863WP6/n9ubvnRXsYO2Oj4/oPnTcJ8aJ6Fvf37ntlv8PcKx3bw3F9HMdjq9rGOWB/8cmvTfb4hXgY3w+oNrq0Ou6hPycMo2f1RrlNvWnv2Ws4TXbGJiGEeJ5elLOdnbHe9Y7/WvavxXbWjI7jRf93fZnvveTa3Wgd0Wg5971mHcdnaaNBs3Nv/9N2/QNjF4QQz8bSUydxFAD46Pb2kV2TEEKIx7O23eTGYuW4L+OpnIZYcM8L7ssNeFz6EV7PsfnqV7/KL//yL/OLv/iL9/3d2toav/Ebv8Hrr7/+XK+pY3tcuVOm3XV4//o2ibhB3NT54ifGublU4/piFYBLc0VePzsIRAuTK7e3cdwA01C5MFMkZmjP9bpfZM22w9W7FXw/JGHpXJguoGmnIg9JiCO3vNnkP/xoCd8PyadjfPnT05h6dL+sbDVZWo8WZUPFBFPDGSBK4PijHyyytt1GUeAzr44yM5oFosPdK7fL2K6Poav9++/KnW26to+uqZyfzpOwjOP5gYU4ZrVmh//3v79Kq+3iBwFvnhukkIkzUkoyMZRmYa3O+nYbgImhNCOl5DFf8ZPz/IArt8t0bA9NUzg/VSAZP7n3fq1pc32xShCEpBMm56byqKpy3JclXgJ+EHJ1oUyz7aKqClvVNu9d3wJgbizL7HiO7WqHcqPLxGCa4WKS2bHsnq/hej4f3S5jOz66rnJxuoAVOxVLPCFeKq2Oy8cLZa4tVPjRtQ1CYCAX5y9+YZ6YqbG+3War1kFVFAoZi9GBJOOD6eO+bCHEc9TsuFxdKB/Lntju+cbOfsCD5hvPet1Trne5uVQlDCFl6dxcqVFrOmiawqvzA7S6LoRQzFrMjeeO9HsL8aw02g5XFyoEQUgybvD/Z++/YmTb0vvA879t7NjhXUZ6c04ef8+1dcuRLLFKNCU22WyZJgac0bQoqPXSD6MB+CBiIBDUEBhB4MxAo4fRw3QDA/WQnJG6Gy1REslSFU0Vq27VrVvXH39Oehfebm/mYUfsjIj0mREZEZnfDyjUzZORe+/IjOW+9a217i4mwV1wTNpZVuKRAG7NxcEw3jULFRWvtquACyRjEpYPKSsvNisoVTU0VQOru3UIHAs5KOAXvjiPsCxe6NkG8X4JuUoUzcQPP9vFVr4BQWDxxq0M7i4kj/0Z13XxfKOC7320iXxFgwvg1lwMC5Mx3FlIIHLBcjsqXm5WUKxqAAMsTkUxkZCH/UiEkGtgbaeGvZI3xpmf9GK0w9Cu6yt1HQwD3JyNIxmVhvIshuXgT99bRaWug+MY/NTrUyjXDdQVAzuFJpLRAMo1A9PpEMIhAfcWUxB4yum4TrbyDfzFTzaQL6sQeA5v3ZnA3YUEElEJqmHjf/yPj1CqaeA5Br/6tZsIyyLWd+sAgEwi6OcnEEIGZ7vQBABMX/AkjpebFWiGBUmkuUlCCLlMf/bBOv7kB2twXG9B3n/3dx6C58erLlY0E49XvXmvYIDHvaUk+DHLBdcMC3/ygzXUFQMiz+Eb784iHT97vGq8/nJHePfdd4/83j/5J/8Ev/Vbv4Xf+73f68u9XNeFoignvm5tt45mU8NGro5yTYVlW3CCAn706Rb2yqr/ug+f7mJ5WgbLstjMNVBveN/TdWB9u4SZzPgmefbbq80qlNZupLquYyvHIh0bTnCCkFH32csCbNtbpViu61jfrWJ5NgHXdbGVa/iv2ysqmE6HIfAs9koKdlvJFq4LfPKi4AdJcmXF32XGtBzslRUEBA6a7v2bZTvYKykUVCHX1o8f59BUvB0uqw0DT9bK+OrDIHYKTWTiQT+RCQA2c/WxXsRRrGr+jp227WKn2Dw06WNcbOeb/qruumKg2tCRGNLkB7leKnUNDcXbVdNxXHz/0x2EWoshP3lRQCoWQKGqwrZdVJs6eI7FVDqEYEfSZL6sQjdabbHlYLekYHEqevlvhhByITvFJgzTxovNCuqKCUnkUKho+ODRHm7OxeG4LkpVDQwDJKMStvNNTKXDlPBIyDWyU2j4Y3xFs1CsaZeWuNjZ3zAtb+y/cEh/w7TsgY97tnINtA8VeLpRQammISBwsG0X7322g4c30wC8Mct0xurqNxEyqnYK+2PSpuqdypWOBy90zc6yUqnraKimn8S9masDre+VqhqUtNm1KYuimShVNQDAxl4DxYqKyVQIimri+UYFb92ZuNCzbecbXe+3UteQil3s/RJyleyVFD9Z2DQdrG7XMJ+NHLt5UkM1sblXR76iQTe8E/zWduqYm4hiO9/AnRMWgYwDVbe8BRwA4Hr1HC3iIIQMmmHafp0MAJu5xtAWcTRUE5W6DsCbw93KNYa2iGN1u+o/i227+OHne1iYjKJa16EbNjZyDfAsi0pTB8+zKFbVof3eyHB89rIAVbOhGd7/9kpNRGQBiaiET5/nUap5bbrVGsvfayWDA14MYjoTps1uCRkg23ZQqHi5iZOp8/Wps0kZyaiEUk3D842KH5MjhBByOb738Tbah1ds5Rt4vFrGw+XMcB/qjHYKTX/eS9UtFCrjN254vlFBvZXPblg2Pn9VxF97+5ou4jjK7//+72N5eRlvvPFG365pmiYeP3584uvyVROluoVCzUStbsI2WGhNFqzJo1iz/EkUjmXw9KmXvFWsmSjU9o9VUWsCaoUr/Sc6k52ygVpz/6hFWxGRD9LgjZDDiHx32QgIXl3CMAw4loVlO62vgXbuV+8uKJ3X6F3pyHPsgZ3qaed6cp21d5dgGAYMAKFVfliWAccyYBh0tP3jtXK4F88xPV+P9/vhet4PnfJFLsthbWsbywIsx4JlGNhwwTEswOBAwnZv20sJ3YSMJ471+g/teoBhGLAsIIosGAZg3Na/tYo4y+7/NyHkejiu3zBopx37s0zPuGcAz9jZd+c4Biyz/7XYGdM4pN9EyKjq/az2jlHP47hxAsexgOnFBcEcUcYZAC7AckzX9/k+7KDcWzeMe4yEkH7j2Fa5a02FcRxzYpvKsYxXd7Ri/QzD+H2FqxLn4jrqJqA/dSUhhJyEPTC3M7y6ZxB9xvMSBfbQr9v9xvazcq3xGs0fXz8iz4Hp+JgIPOf3TaRAdw6DKHDgWMZP4PNyF+gzQ8gg5SsqHMeFwLNIRM63IJBhGNxfSuJ7H2/j0UqRFnEQQsglEzkOgOl/HZaP3vxjVPXGrMYx98z7O3R8zZ8vl/3KrhDY2NjAv/k3/wZ/8Ad/0NfrCoKA5eXlE193y3awsl1HQzGQ3mvAdhzEwwH81MNJ7JYUfPS8CJYB3rmbwUzreDLHcbGyU0NdMRGRBSxNRWlQ22HZcvBquwZVt5CMSpjPnu9YN0Iu4jSLuEbBO/ezUD+y0GiaWJiKYC4b8b93czaG1e0aHNfFwlTUbxTTcRmv3Uzh2UYFAYHDl1+b9H9mIiGjoZioNQ2EZQGTqRBYBmgo3s4vcpD36zJCrqMvvzaJrXwD27kmbs7G8HA5DVFgsTAZhSBwuDETw/puHSzDYHF6vHfJT0Yl1BIGyjUdsjT+ZX9+MgLTcqAbNjKJIKIhcdiPRK6JWDiAyZSMQkVDQOTwt76+jD//ySZsy8HX35lBLCyBZznUFR3puITZbARiz+5TEwkZDdVEreG1z9NjfMoPIdfZ7EQEumHjzTsZMAwDRTOxOBXF196aBcsyWN+tt07Zcb3+xVQUDE1mEnKtzE6Eoem2FxOLSZe64+pp+xscx+6Pe1hmIKeDLU5F8XKrCtNy8O69Sazt1rC+U0c4JOCdOxPYKyuwbBezE+ED/SZCRtVcNgLdtKHpNlJx6dwJFJ2WpvfLylQq1LWD/43pGF5tVWHaDmYyYX9TijZJ5LEwGcVWvoH7i0kkwgE0VQuZZBD3+rCb/3w2AqPj/cYjgQtfk5CrZDoTxu35OF5uVhEM8Hj9ZvrEnahlScCt+QQqDR3ru3VkBQ43ZuMIywLmO+YFxpkocFicimIz1wDPMbgxEx/2IxFCrgG+Z4yzNB0b2rPIkoC5bAQ7xSYEnh3qacyLUzHsFhV/LPbTr08jV1HBsgwEnkVEFlFXDcTD3tg1c8FT5sj4eed+FopmwrEBOchjYTLin+j5+nIGazs1vNyoIhIW8XPvzkMQOLzaqsJxXMxlIwc2niSE9Ff7lKmJRPBCOYn3l1LeIo5XpX49GiGEkFP6m1+/iX/z7efQDBtfuDuBpen4sB/pzGYyYWiGBUW1kIgGkIoN56TBi7g1H0O+omA730QsIuKtu+c7xZpx3fbeAePvG9/4Bv7Vv/pXuH37Nv79v//3+Gf/7J8hEPAmAfL5PCKRCP7RP/pH+LVf+7VzXf/TTz8FADx8+LBvz0wIGS8ffPABRFGkeoCQa4zqAUIIQHUBIYTqAUII1QOEEA/VBYQQqgcIIVQPEEIAqgsIIaNfD/zpD9fwL/9/H+HtOxP4nX/4lXNf59VWFf+H/9ufIxjg8Qe/+0t0Ki4hHUa9HiCEXI7Trje4sidx/Mqv/Ap+5Vd+xf/67/7dv4u///f/Pr7+9a8P8akIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCLk/7JI5sUr7QdRamoggGeKi6hbWdGm7MDO/EKkIIIWScXYlz6H7nd34HX/va17C7u4vf+I3fwM///M8P+5EIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBChm6v2J9FHBzL4N5iEgDwaKV44ecihBBCrqsrcRLHb//2b+O3f/u3j33Nv/7X//qSnoYQQgghhBBCCCGEEEIIIYQQQgghhBBCCCFkNOyVmgCAbOpiizgA4P5SEj95msOjlRJ++advXPh6hBBCyHV0JU7iIIQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCEH7ZX6cxIHANxfSgEAPn9VhOu6F74eIYQQch3RIg5CCCGEEEIIIYQQQgghhBBCCCGEEEIIIYSQK0g3bZTrOgAgmwxd+Hq35uPgOQalmuYvDiGEEELI2dAiDkIIIYQQQgghhBBCCCGEEEIIIYQQQgghhJArKNdaaBEM8IjIwoWvJ4k8bs7GAQCPVkoXvh4hhBByHdEiDkIIIYQQQgghhBBCCCGEEEIIIYQQQgghhJArqH1aRjYpg2GYvlzz/lIKAPBopdiX6xFCCCHXDS3iIIQQQgghhBBCCCGEEEIIIYQQQgghhBBCCLmC8hUVADCRkPt2zftLSQB0EgchhBByXrSIgxBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIeQKKrQWcaTjUt+ueW/RW8SxsVdHrWn07bqEEELIdUGLOC6B67rQDAu24/2/ZTv+9yzbgW7aQ3y689FNG6blnPxCQshI8Osh+2C5bddNjuMC8Mq3dcjr2izbgWZYA3tWQsaV4+y394PW2be4qka5rrnMvzW5XhTNQkM5PMB5Uvt8mcZ1DEPIKLMdF03VQF3RYZyyfJmWc+rXEkLIRTg9cYNOluWg2tBhjVic8DqMmQjpdFzsb1iOG9dbtoOGalJfhlwblxFLsltlznX373FZsQSKlRFCiOe4sdNFnKY+H9S9DzOKfU8yWGf5fA2q/9FQDCjaaM4bEjIu9hdxBPt2zVg4gLlsGADweKXYt+sSQgg53lXI2VANG7mSAtse7/dxUfywH+Cqs20Hj1dLaKomchUV8ZCIoCRgeTYO23HwaqsK1wUyiSCWpmPDftxTWdmuIl9WwTDAjZkYUrH+de4IIf3nOC6erpVRVwxwHIM7C0mEgwIAQNMtPF4twbQcSAEOAYFDtWGAZRksz8YRjwS6rlWp63ixWYHjuEhGJdycjYFhmGG8LUJGitVq71XNgsCzuLeYhBQYTDfLth08WSujqZrgeRZ3FxKQJWEg9xqWzromEQ1geTY+MnXNZf6tyfXyaKWInzzNAS5weyGBL96f9L/3YrOCUlUDwwDLc3EkIv3bIeesynUNLzYqcF0gGZOwPBsf2rMQclUomokfP97D45USFM3EwnQMX34wielM+MifKVRUvNquAi6QTcpYmIpe4hMTQq4T03LwZLUEVbcgCizuLiYhiV7/t6YY+M/vrUHRLYRlAb/wpXnIkjjkJ/b67E9WS1Baffa7i0kEqc9OrjDHcfFso4xaK6Z3ZyGBiDzcslht6Hi+4Y3r45EAbs3tj+vLNQ0/fryHvZKCsCzgnbtZzGUjQ31eQgbpMmJJDdXE07USbNtFWBZwdyGJtd3apczlUayMEEI8x42dLuI0uRmDuvdhHMfFk7USGop5YN6ZXE2mZePRSgm6YSMgcLi3lIQocIe+9uVmBcXWXMbN2TiS0f7MZfzo0S6erZUBBnj7zgTuL6X6cl1CrptBLOIAgPtLKWzsNfBopYQvvTbV12sTQgg5qFzT8GJzvHM2NnN1/NvvPIdu2EhEAvi737yLYHD480vDQCdxDFihqkHRLGiGjWpdR6mmwXFcbOTqeL5RwepODStbVbzcrEDRzGE/7olU3UK+7HXqXBdY360P+YkIIScp1zXUW7t627aL7XzD/95OsemfqlOu6VjdqQGAX0/1erVVwepO1au3tipoqKNfbxFyGfJlFWpr9xfTcrBTbA7sXsWahtXtKl5tVbC2U8PG3tVrizdzdX83n3JNH6m6plC5vL81uV4+fp4HWptYPVsrQ9G8truhGHi16bW9qzs1vNqsDvEpgc29Btqbepaq2pEnhxBCTm+70MROsYlCRUW+rOLxShEfP88fu5vh+l7drzP2SsrInl5FCBl/uVITKzvVVjyghu3Cfv/38asiFN2rfxqKiSdrlSE9ZbdCRfV35zQtB7vUZydXXLWpo9bw+uWO42Ir1zjhJwZvM9fwx/WVuo5a0+j63maugVxJwcvNCj59WaBTv8mVdhmxpO18A7btlbmGYmK70MCLjYofS3ixWen7PdsoVkYIIZ58RYHaGh8ZpoO9onLha/bmZhw1H3TcuK3fynUNDcWbs+mddyZX015JgW54uyPrpn3kGLupmihWNQDHf17PStEMfPwsj71SE7migvcf7fXluoRcR4NbxJEE4G1YRwghZPA2cvXunI0Ryqk6re99tIVCRUW5rmEr38CPn+aH/UhDQ4s4Boxt7S7V3jyaYb3/4FgGu6UmdMOGaTvYLSl+gHWU9W6CzbKjsSs2IeRobE/B7fy6swwzDMBg/2vukPK9V1Kg6V69lS+r0ClZjBAAB9vDQbaPtaaBcl2HZbtoqibyFW1g9xqWA7/PETmFAzi+TiXkIjimY2jGACzrfa2bNnJlBabtQDds7JaGmwxxmfUdIdcFx3q98IZqwnJc2LaLXFnxg2+H/kxn+8NQe0QIGZxK3UsOt2wXDcVEsTXZCwAc1133HBZHGIZRHk8QMggHxqkjUBZ7n6mzfmBZBuW6BtN2YNku8mUFjkOLOMjVdRlltPeaju1iryOW0I9E4iPvPYJ1ECGEDMMg6sPT5mYcN27rN6r3r5/TzgkMau7Adb3FQ5btwrQdVOpXb16UkMvgui4KrYVW6T6f0tc+HefFZgW6aff12oQQQg46mLc0pAe5gKZmwTAdOA6g6jY07frmoNIijgFLxyUkYxJkScDsRBgTiSACIofFqSgysSB4jgXLMMjEggcmPju5rotSTUOxqvo7WA2DJPKYn4yAZRmIAosbM7GhPQsh15ntuChWvdWIJ0lEJWQSQbAsg6DEYzYb9r83nQ4jLAtgGO+/7y4mwbKMX0/1SieCEHgWDMMgGZMgCnQsOiEAkIkHkYgGwDBARBYxkwmf/EPnFAkKiIREMAwDSeSQ6tNRxBeltXaE6sfJYotTUQREDizLYDoTQmiEjuJOx4NIRiUwDBCWBUwP8G9Nro+mauLOQgIsx4DnWbx7d9I/7l4UOKRiQTAMA4Fnkenz7jhn1Vk+ZybCkKXRKZ+EjKuZTBhL0zFEwyLkAI+JpIzZiUjXRH21oaNQUf3TOZZmYhB4FizLYGEyClHghvT0hJCzau+k2t6hddRFIwGEg17cQJZ4JDvGH6/fTCOTCIJhgMmUjHutCdthS8e8PjvLMtRnJyOl1jRQqKh9P3UiFg4gm5K92F+Ax3w20tfrn8fCVARSwBs3TKVDCMui/73FqShSUQkcxyIeDmA6HabkP3KlHYglpfvfLkWCAizbS5bKJIJIJ4JIx4JgGQY8xyKTGFwsId0RFx3U+yOEkHEwkZARj3j1oSiw4Dn2wuO+3tyMpenDczNix4zb+q1z3lmWeMyNQN+THM22HRSrKip1/dzXyCZDiIVFMAwQDYuYSoUOfV0w4OUhsCyDgMAd+Xk9K4HnsDwbB8exEHgWt+cTfbkuIddNXTFhtBZYpOP9bSeySRnJqATLdvFsvdzXaxNCCDloaToGy3LQUA1MpeWxzNl4524GUVkAxzKYSATx4GZy2I80NJR9O2AMw2B5Nn7o95bnEhB4L9EiHgkcW5heblVRaq2IjUe0oQ5MJlMhTB4xMCOEDJ7juHiyWkKzdRRWNiVjYfLggotOS9OxQwMlAs/6q+Lb5iePDrbdmI55OwK7QDQkIjxCidWEDBPLMrg1dzltcyoexNJ0FJpug2WZroVZw6JoJh6tlOA4LhgGuLuYRKQjQeOsZEnAG7cyfXzC/mFZBstz8WE/BrlCyjUNzzcrgAvcmU/gwY2Uv4ADAMJBAUszUaRiEsB4bfEwhYKjWz4JGVeiwOHd+5OYTIWwU/BO28kmZXCct+/GZq6O7bz378EAj/s3UoiGRLx1Z2Joz0wIOZ+GYuDxagmu6+2oem8pNfLj6omEjIWpKEzLAc+xmErvxwRFkccvfnlxeA93BOqzk1G0W2xifbcOAAgIHB7cTIHn+rfH1sJk9MT44GWSJQGvLx8+bggFBfzclxawlWsA8BLO2/MkhFxFg26XVraryJdV8ByHaEjE0nQMruvixkzMS+JlgMUB1g+XGRclhJBRxrIMbs8n/HHfxl4dW/kG7i4mLzTuO01uRuaYcdsgHDXvTEaL47h4tFqC2trVeCodOteiG45lcGfhdEl10+lw3xd0igKHN29PYHbCe/bZieHPixIyjgqtU5ri4UDfx+AMw+D+UhLf+3gbj1aKeHgz3dfrE0II6VZp6OB5FmFeRKVuYDrjjsxJ6ae1PJfEN7/q9VkDIodM4vrmo9MijiHKJmXEQiJsx4UsHf2ncBzXX8ABeMdhWrbT10keQsj40AzLX8ABAMWKdmmTtKlYEGFZhGk5CEk8mN5zfAkhA8dzLB7cSEPVTAREbiQSHUo1zT8pzHWBUlW70CIOQq6TYlUDWgft2baLSl3HZGp/bMAwDO7MJ9DULPAc07XAgxBytcxlI96CLaBrk4diZT8eoOoWVM3s2s2aEDI+SjXN2xgB7X6zOvKLOAICh9eX01B1CwGRh8BTPJKQ82gnSwCAbtpoKCbikcAQn2i4ZjJhJKMSXNcdy53iCBklnfVLrWnAMG2IAodbc3EvlsAykAIUSyCEkMtS7Bj3OY6Lck0b+LiPxm3kMIpu+Qs4AKBYVcf25JQbMzFkk/unDxJCzq5Q9cYNqT6fwtF2fynVWsRRGsj1CSGE7OuMBam6BUUzxy5HKxwU8MatNHTDRjDA+5sbXkfUux2y0wRO28cN6q1jzXieHbuVU4SQ/hEFDizL+AnTAfFyE7gDAoeAMPykcUKuM45lRip5szdgetn1EiHjTAp0l5fDJiAYhhn5BE9CSH8clsQoBfbjAQzjjQcIIeOpNw44LgmVHMeO1PiDkHEkBXgo7QQqhsbNwOFjH0LI2UkiD1X36heeY/1Jb4olEELIcAR7NuG5rE15aNxGegUEtiunYFxiEEcJUb+GkAtpJ/ymY8GBXP/+kndiz5PVEmxn/HaEJ4SQcRIM8NCN/bnjcc3jFPjR2Lh42Ma7l36N3FlIYCNXh+t6xwNe993vi1UVtaaBcFBEJjGYDuZZtZ8pFBQwkZDP9LMN1US+rEAUOEylQmCpM0uOwXMs7iwksJ1vgONYzF9wx4xcSUFTMxEPB5CI7q+6t20H24UmLNtBNilf6q54hYqKumIgGhKRGtAgkhDSP6lYEIbpoNrUEZFFZJNnawfHlWnZ2C40AReYTIdGbmC0V1KgaCYkkYNm2OA5FtPp0LVewT6KptNhOI4LRbeQjEiIhc+2G+9F+qCnpWgm9kqK9xnKhM8deHVdF3slBapuIRGRrvXOw4Qcp9rQUappCAZ4ZJMybszEsLHXgGnZmEyFjlzEUanrKNf3f+64uEFnX38yFaIkSkIuyURChmU5qCkGorJ4bNtdqWt4tFICz7N4fTnd98SfYY75CbmOFqei4FgGumkjm5C72l7bcbFTaMC0HEwkZISCgt/PlwIcLMulskoIOdKt+Tg29xpwXBczFxizjyPHcbFbakI3bKRiQURDw09ePmq+5bJohoXdogKWAabSYdqNnwxNqaah2tAHGrM8Sj/jpecpUxNJGZa9P+4blVwGcv0IvHcy126xCZ5jMT95/pyC3vycYbY3qm7572kqHQJPc16EnEp7EUcmPph2aXE6hmBrA4v13RqWpmMDuQ8hhBBgfjKKYnUPmmHj3mJibDcA3C02oeoW4pEAEpHLj6H0Q7mmodLQIUvCuXPlaJZ+TEgBHrfmEsN+jJFQrml4uVkFAOTLKlgWQ0/yLte7n4kBc+qAjGHaeLJa8ndAMEybOrPkRBFZxJ2F5IWvs1dSsLZTA+B9du8sJPzk0VfbVZRrOgCgXNPx+q30pQRBilUVr7Y6yhPDIDmEyQ5CyNlMpUOYSoeG/RiX6tl6BU3VBABUGjpeX06PzELb3WIT67t1OI6LlZ0qplIhyJIAVbdwe576lKOEZRnMT0bP9bOVut7VBwXQ90lR03LweLUE2/b6qrphY3kufq5r7RSa2Mw1AAD5ior7SynaFZSQHopm4ul6GfCKHGzHS8S6MXP8GLGhGHi2sf9zjutiOh0+8vUvt6qo1Ft9/bqON5bTtMiPkEsynQlj+oTXGJaDb/1o3d9JqVzT8ItfXuzrc3TVA5c45ifkuuI59siY7+p2FcWqBsBLeJyfjGBly4vXbRcakCUB8XCAyioh5FCSyJ97nD7uNnN17BYVAF5S2ms300NdoH7cfMtlcBwXT1ZLMEwHgLeB3P2l1KXdn5C2akPHi40KgMHFLI/Sz3jpRcrUacZ9hFyGWDhw4baoNz8HcLGdb/onB19me2Pb3nyFZXnlUtHMvuRMEHIdtBdxpAa0iINjGdxbTOInT3P4/FWR8t4IIWSANnN1cCyLkMRiK99EKhYcuxMt2jlNgNfHvLeURGTMThasNQ08b419ARWu62Iydfa8OYr2k7HTaCVL+l8r5hGvvDy9z9DUTv9Mqm75CzgOuxYhg9RQjK6vOz+7nZ9Fy3agtZJHBv5MPWW8qVKZIISMHtd1u+on3bBh2c4Qn6hbuy41LRu27fp1OPUzrpaG2tOOD6DN1A3LX8Bx0Xt0tfEuoFAbT8gBDdX0F2IAB/vrR2lqVtfPnVRWu/r6luNPuhJCRkNTMfwFHIC32Krv91C7x/z6JY35CSEHdcbjbNv1F3QAgKbb0AwLwOXG5wghZBx0xhlc10vkHKbj5lsug2k7frI5QHMrZHiGOc/XW+4ucm8qU4R4est0tWl0xRJ7vz9Iumn7CzgAoKlal3ZvQsZdoeLFGtIDWsQBAPeXvEVVj1ZKA7sHIYQQoKl0x5PHMWZ8IN96DMdbvc983n4xLeIgYycWDgBMz9dDFo/0PNMZjmyWJQF8x/GSsfB4rSgj4y0e2S8/DAPEQoFDvxcQOATFy1mxGe8s0wxG4gh0QgjpxTAMoh1tdigojNRuqIlWHS7wHESBhSx5uxBSP+Nq6e0XxwfQLw4GeIhCR181cv57dD4fyzKIUBtPyAFRWQTL7hfs0453I7Jwpp/rbA8CIoeASAe1EjJKIrKIsLx/WlV2ALvW9o75pSHuWk3IddfZbgs86x273mrWZYlHWPLqg8uMzxFCyDjojDNwHIPwkHdsPG6+5TKIPIugtN+nG4X5U3I9xULi0Oby+3lvKlOEeKI95SoVlbrKxiDmJY4SEHkEOsZENOdFyOm1T+LIDHQRh3cqz+evinBd94RXE0IIOa/O+IPAs0M9lfS8OsdXzJjmh0ZDIpg+5OuM31+PXArTcrCyXYVmWEjFgpjJhIf9SL5oSMS9xSTqTQOhoNBVoBuqibWdGhzXxXw2cmnBlIh89DOdROBZ3F9KolTVoBk2qk0Dn78qYmEyMvSAM7nadotN5MoKWJZBOCigoZp4tVXF7EQYiaiExakoQkEBlu0gHQuCu6Tk5Fg4gOXZOB6vlsBxXrmmwCghh1M0EyvbNTiOi9lsGImINOxHuhbWdmuo1HUEAzxms2EwYJBJBMF09s6HpNrQsb5XB8swmJkIgwFwZzEBVbfAsywyicEF5kj/KZqJ1Z0abNvFzEQYyeh+GS9WVWznm2AZBsmYhFRMGkh7yXEs7i+lUKiq4Dn2QsHdiaQMgWeh6hbikcC5ggmaYWF1uwbDsjGZCmFiAEmthAyTFOBxfymJtZ0aSjUdxaqGaEiE7bhY26kBAOYnowcCWbIk4M5CAp+/LMByXKiaBdd1j2ybbszEEJFFWI6DTDwIjh1+G0YI2cfzLL70YBLvfbYDgefwzt2Jvlx3O99AoapCEvmuMX8mHsR2voFSTUNIErA0Hb20GAAhBJjPRiAHBJiWjVQ8CIFjUG/o+ORFAaGggLfvTmA6E77U+Bwh5PpxHBdruzXUmgaiIRELk9GuheKjaDoTRkDkoBs2ElEJimri2VoZLMtgaToKWRJOvkgfpWJBcCwLRTMRDQcQCl7u/RmGwVQqhM9eFcCxLKZSoUu9PyFtYVnE/cUkaifMmxumjVfbVRimjWwy5C1kvaR7H6U31+DeYhL5sgqWZZCJB5ErK9gtNiFwHJZmopBoUwwyoizby/dRNAvJqIS5bOTc14qFAwdyYSIhEfmyCobBmWP0W/kGiq3YxNJ0DAJ/+jEOxzK4v5REvqKeac6rc65lOhNCKkZzZeR6cV0Xhaq3iCMVG1w+wa35OHiOQammIVdW+9K2E0IIOSgaEvDDz6tQDQvv3MmO1Iazp5WMBrC5x6JU1zCXjVx6DKcfQkEB95ZSqDV0yJLQtbjmLGhUSQ61maujUtcBAFu5BsLnCHIMUkQWETlkgcPz9TLM1vGJzzcqeOvOxKUloxz1TKchiTyyqRA+fJqD43irkdvPT8ggNFQT67t1/+tX21WkY0GouoUXmxW8eXsCAs8OLTGy2tT9gM0o1kGEjIrnGxXorWPxXrTajXHsnI+TQkXFXlEBAOiGjWCAx1x2NBa72o6L5xsVvy9hmLbfl0icPz5PhujlVhWq5h0H/nKzgsjtDASe8yY4t6pob2KjaCZuzMQG9hyiwGE63Z/PeSIqIXGBn1/d8RJKAGB1u4ZwUBjLAT0hxxF4Dg3VhMCzaKomnm+UYdkubLs9Vizj7TsTBxZo1JoGWJaFyAJ7JQVBiT+yP88wDCZoAoWQkWVaDjZzDcxkvE7c6m4Nry9nLnTNakPHZq4BANB0G5tcw+8/lGoadgpNAF4fVxBYLExGL3Q/QsjpMQzTlXz0eLWIp+sVGJYDo67j+XoFi1MxiAKdwkEIGZy9koJ82UvsyhsqggEek2OwCKCdhGnZDj57WfFjJS82KxfuP51HPBI496T9Rdm2g9WdGuSAFyd5ueXN9RAyDGFZPHGzwtWdGmoNL863tuPF+fqx+Ok09z7KYbkGU2mvLlR1C6s7NcAFNNhY2arh3lLyws9LyCBs5hoo17x8n51CE+GggET0/InbvbkwPMf6ZeMsqg0dW52xiVwdS9Nnm9sQ+LPPV3TOtbzaqiIiizS+ItdKrWnAtBwwDAa6iEkSedycjePpWhmPVoq0iIMQQgbkvc/2YJgOOIbFR8/zmJ0IIz5mm/5u5hswbQcRWUSlrqNYVcdyoW04KCB8wXEsZfmRQ7WDE0d9Paose/85HceF44zHcwPt590/Ts60HTpejgyMadpdX7eTwAHAdb1g/zD11jmGOT5lmZDL1FlWXLe7HSSDMcp9JMdxuvoS9HkYf6bZW8a9v69lO+jsJo7S53DQzJ4+Qft3QshVYveUccN0/AUc3vddOId89HvrAusa1Q2EXDW99UA/2vrevqFh7ccBjJ4YwXXqWxAyilTdht0R1zYsh8olIWTgTGu8+wPXOVbSZvfOM17D3wEZL6MYaz8u18CyHaCznrG7601CRsmotusHcwAupxzRfCq57vIVb7F2PBw40+k353F/KQUA+PxVcaD3IYSQ60w1rP0vXEAzxm9sMorjwWGhRRzkUNmkjPamnlKAG9quMWfVuStQMiYBGO2jnjsJPIt0fH812VQqdGBnVUL6JRQUEBBbu0swwN2F/T2xE9EApMBwD2rqrYMS0fGogwi5bNMdu9wkoxId3T0gpmX7E6CpmARR8LrQLDtau5gLPNfVlxiH3RLJ8Tp3sopHAgi22udggO/qn59nx6vjmFb3gqBRMpkK+V38sHzxXQ0IGUVSgO/q/85MhLt2rMom5UNPnJxIBMFx3r8LPItU/Py7lbiuC9OyaWMBQgbgNOWrtx7oR1sfC+/3JRgGmEzuXzMVkxBo7UDJsgztkkfIgDiOe6rJqOW5OJJRCSzDgONYLE5FkYqN105qhJDxk0nI/gm/PMcic4HxxDBIIo9kxw7jUyfExexT1snjRBS4rvai3/EiQvptMiX7cb5QUEA0dL7TM45ynthGZ0w9HQ9C4Pd36g9Jwv5JBAzF38loyyZDYFvxw4DIdZ3CcdpxySDEIwFIAa9cMZdYjqaPmGsh5LooVTUAuJTYwv3WKVWPVmgRByGEDMq9xQQc19vIIR0PYiIxXjEcwJvv9vurPfGM64Z6puRQsXAAr9/KQDdshILCoQkio2guG0EqJnnHMOabKFVzSMYkLM/Gh/1op3JjJoaJpAyWAWSJEtLIYOTKClZ3anAdF8mohLnJCCSRh6KZcBy3L0cVX9S41kGEXLbpTBjxSACO4577eHByNMdx8WyjjFrDAM+zuLuQgCwJeO1mGopmQRK5kTtu+cZMDBOJIFiWob7EFTCVDiEWFmE7btdiBYZhcGsujoZqguvz3/rFZgWlqgaWZXB7PtH3ydOLyiSCiMgCTNtBSBL8gT0hV83ybBxN1eyqz9PxIFzgyMVLsiTg9eU0VN2GLPF+AtZZmZaDJ2slqJoFKcDh7kJy5No7QsaVadl4slqGqlsIBnjcXUx0JQV1OqweuAieY3H/RgpN1URA5PxFG4C3GPi1myk0R7SPS8hVUFcMPFsvw7a9eNzN2diRG/hEZRF/+xu3sFtoIhjgkYoHz92uE0LIaQUDPB4up/1+yqB36B2E5bk4GopxYv+p2tDxfKMCx3GRSQSxNB27xKccrJuzcWSTJ/8OCBkFqVgQIWkwcT7TsvF4tQRNt1tjr+Sp6rV2rsFhcy4sy+DOQgJNzYTAsUPfEI+Q40RDIl5fTkMzbIQkHlxrPHGWcckg8ByLBzfSh8YmBmkyFUI0tD/XQpupkuumWGsv4hh8ku+DGykwDLCx10CppnUttCaEENIf0+kw5rIKNMPCzdkYWHb8YjgR+fD+6nV0fd85OVFA4BANiWOXPC1LAko13d89uFTVUGsaQ36q0wsHBQqskoFa360DrpcAWq7r/iSwLAkIy+LIBC3GtQ4i5LK1yy7pv3JdQ63h9SEsy8FWvgHACzJHQ+LIJreFZZH6EleI3Nrhrbd9ZhgGkT7/rWtNw9+Nx3FcbOzV+3btfpICPCKySAs4yJXGMMyB+jwUPPn0GYH3+tAXSfTMlRWomncMr6bb2Csp574WIaTbblGBqnvlS9Ut7BaPLl+H1QMXxbEMoiHx0CQJbsT7uISMu429Omy7Fa+unRyvlkQei9MxZFMhWsBBCLk0Au/1B8ZxAUfbafpP63t1fw4xX1bRUM3LeLRLQ7FBMk4GFefbLSrQdBuAN/baKzVP/bPHzbmwrBeTpQUcZByI7bn2jvHE5l7jTOOSQTguNjFIR821EHIdtOf+EpewoCIii7jZ2mj5o2f5gd+PEEKuo/XdOkKSgFQ0iHJNR3NM4xqH9Vevo+v97smV1TvuonEYIUdg/JOKCSGEnIChGpNccb1zpdSHJuR6oqJPyOD0JibRgkRCro/e8SQlDhFCyPCwvRtlDOk5CCGD09vV6i33hFxXB/NoqGwQch2U694ijss6FePNWxkAwMfPaREHIYQMBOV1XCm0iOOCHMdFuaah2tCH/SgjybIdlGrape9iszAZ9XYKYoBsSkaEdignxHdjJgaWZcAwwOJktO+rGU3LRqmmQdG8cl+p66jUdbiu29f7EEJOpukWSjUNumkP+1HOrKEYKNU02LYztGdIRiUkYxLAAFKAw+xEeGjPQq6vWtNAuab5O0S2tcch/dwpKyyLyKZkgPF231yYjPbt2oSQs9GMk9tw3fT63Zph9fXe2eT+GDoUFDCVDvX1+oRcZ9mkjLDs7YoclgVkk/K5rmNYDla2q9gpNPr5eISQAVqYikAUvHj1RFJGNOS1teMybq8r3rjEdii+R8hVo7bqIaMP9ZCimSjVNJjWaNdpC5MRfw5xKh1C6IQTDwkho820nK55SQCYTIX6MvYi46+pem2TNcS5plFh2w4iIRG24xwYl/TDuPQDCLmOitX2Io7ApdzvzdveIo6PnuUoT4iQK8Zu5wIrl3+aF9m3NBUF3xHXoNM4h8dozder+vnn6+mcxwtwXRfP1st+4tRkSsY8JTr5bNvBo5Wif1Tp4lQUE5cUIAkFBbx1ZwKu69LuAYT0SEYlJKPSQMqHYdr4/FURpuX4CaCm6fj3XZ6L9/V+hJCjNVQTT1ZLcBwXLMvg/lJybDruu8Um1nfrAICgxOP+UgrcEHYpZhgGy7Nx6k+QodnYq2On0ATgHT98dzEBhmHgui6erJXQULyJyelMCLMTkb7cc2EyivlshD7zhAzRadpwRTPxaGX/NXcXkwj3KfGI41jcW0pS+0fIAPAci/tLqQuVL8ty8KfvraJS9zaUee1mCm/enujnYxJCBkCWBLx5uzte3VAMPFkrj/y4fafQxMaeN0aXJR73hjRGJ4T0X7Wh49l6Ga4LcByDB0spSIHzTR1X6jqeb3jX4nkWD26kEBC4Pj9xf4RlkeYQCbkiTMublzRMb17y5kwMqViwL2MvMv4KFRWvtqoAgIDA4cHNFPg+b244LmzHxaPVElTNAseymJsIYyrdv43LyjUNzzcrgOvlBzy4kYI4ov0AQq6jyz6J495iEiLPolTTsbFXp1xKQq4I23HxaKXkJ6vPT0YwmaKN4IYhLIt4m+IaQ6cZFh69KsGyHTAMcHs+gVj47Asmr+cIpU90w+7a+TZXVof4NKOnphj+Ag4AyFcu//dDlRQhRxtE+ajUdW8BBwDHdrG6XfO/N+wd9Qm5booV1d+533Fcf4eNcZDv6FOpmjX0VfzUnyDD0lkW6orhB0RU3fIXcAD9H4fQZ56Q4SpWT27Di1Wt5zX9H29TXUDI4FykfBWqqr+AAwBebVb78UiEkEvSWf4LPe15qTaa4/ZcWfH/W9Gsrl2uCSHjrVjV0N4Y17ZdlOrnr4cKFdW/lmU5KI9ondaJxjyEjL9qw/AWcACAezAfgcr59dYZX9dNu6+nWo+bhmJA1fZ3By5U+ttO5ysq0OoHmJbTFbcghAxfqXq5izhEgcP9GykAwEfP8pdyT0LI4DU68hWA4eQCk2403hmuSl33T/xzDxmPntaVWMTxu7/7u/jGN76BO3fu4NmzZ/6//9Zv/RZ+5Vd+Bb/6q7+Kv/23/zZ+8IMf9PW+PM+C7dhxKiDSSvJOAYEDmJ6vCSFXWmc9yLIMZGl/167eOpMQMli9/RJJHJ8D2LqenaE+BLm+ettVgfe+FnraVInGIYRcKb3t3mGxht5/o7aSkOtDDgrojMuH5NHbtZ8Qcjq9/fiAMJrj9s5+B9M6eZcQcjX0M354YIxCsQpCyCWg+Ag5Tu/n4zqfDHEgd6fP7TT1AwgZXbbtoNrwFlZd1iIOAHjrdgYA8NFzWsRByFUhUi4wIV16y8B583ZGc1bgjH7xF38R/+Af/AP8+q//ete//9Zv/RaiUe9IrsePH+Pv/b2/h/fee69vK5B4jsXt+QS2cg1wHIP5bORc13FdF7myCs2wkIxKiMgidgoNrO3WEZFFPGitTh03siTg5kwMeyUFDMOAZRls5uqYTIWu7TGVg2BaDnaLTQDAZEr2k/suU10xUKppkEQe2aR86fcnp5crK1A1C4mohGhI7Ms1HcfB56+KaGoWbs7EMD8ZQammQdFMzGUj0AwLsiRgbiJyZP1rOy52i03YtoOJpDxyyeYN1USxqiIgcMgmZVrJSgaus1xFQyJqTQOhoIAHS0mw7Ona0GxShmk5qCsGoiERmURwwE/dP0vTUazt1mGYNiZTIUiB0aoTrrtyXUOtYSAsC0jFuj9Xhmljt9gEyzLU52sxTBt7JW/n2qn02X4nN2djWN+tw7ZdTGdC2NirY6/YxGQ6hFtzcWznm1A0EwLPolhVD/w9+q1c01BrGoiExGMDvdWGjkpdR1DiMZGgviEhp+E4LnZLTbzYqMB2HMgiD9NxIfAs5FY7WKioaKom4pEAJhIyjNYOghFZvNA4rF1mZUkYq/4CIeOqVNNQP0V72qtzPP9Tb0zj8UoZAZHFF+9Pnus5bMfFXrEJ03aQTcin7nMrmoXPXxUAAA9upLs2bzgvRTORr6gQeBaTyRBtAEGujPZnW+S9eFLvZzub9NrzhmpeeNw+yNjVjWlvXGJYNqZSoWPjducdCxw2zsyXFbzcqiIk8XhwI3XqeAgh5PSmUiFYtoONvQYCInvkIq1a00C5ph1btmcyYdiOC0UzkYxKSES8fk6xquL5RgWSyOG1G2nwtBDsytF0C3tlBQLHYjI1mL7cqM8hkcvVO35YnIqiUFURDPCYz0awulPFTr6JTCKI5bnEsB936M4yN6xoBj57VQKD/o33hml+0svf0QwLmbiMcHC0NkE4abzQT1KAx/JsHLvFJkSew8LUfm5Tb66HYVj4bKUE07Rx70YKUfnknILZiQgcx4WqezlPsXCg6/tnHa+cdi6CEHKySkOH43qbxUV7yuYgvXHLW8Tx2csCLNuhOWNCroBggPdzgUWBw8JkdNiPdC6FShN//N46WADf/PISknHqawzL09UySjUVs9kI5s6Zez9MiaiEuWwE5bqGkCRgOh0+13XGe9TV8u677x767+0FHABQq9X6MnHhui4UZf/4cJ4BFrJeQXZsA4py9iMYtwtN7BS8a27seIn4f/XxDlonqaPeaOL15fSFn30YggIwn5HwaLWMgmEDAAqlOm7Px4f7YFfI49UylNbRl7uFKh4sJS/1/qpu4fFq2T8mu96QMZ0OXeozkNPZKTSxsVcHAOyVFTxYSiHUh2DV+4/28HyjAgBY2a7il766hFg4gIZioqGYYBhgPhuBLB19r5ebFf9Y1WJVw+u3MuBGJGlDMyw8WS3BaVXKpuWMZceBjJcfPdrDi40KVMPCylYVN2diCIg8NN3Cu6dM0mIYZmw/qwLPYXk2PuzHIIeoNnQ8X68AAPZK3pGA6biXYOM4Lh6vlqC3+nwNxcTdxcvtl4wa13XxZK0ETfd+J3XFwP2l0y/QlkQet+e9icZXW1V8/5NtAMDLrSp+6o1pTGdCeLpWRrmmo1zTu/4e/Vaua357v1dSsDwXP3TypKGaeLpe9o9OdxwXkynqGxJykrXdGn7ydA8vNqpgGcYLhM7GkIoF8Xi1hGxSxm7RixvslRXcW0xiduLi7XxdMbrKrOu6mKCF+YQMTLmm4UVHe3prLo7EKZIROsfzubKCBzdSWJyKXehZVraqKNU0AK1x+HL6VJOp335/DdWGF//cLjTxq1+7eaHnMC0Hj1dLsG2vItING0vTF3tvhIwCw7S7P9umjcWp7olNhmEw34fJzkHHrkSBw/Jc/MTXnXcs0DvOBABB4PCf31/3f39NzcKXX5s6z+MTQo7Bsgx4joXIs3Ad4MlqCQ9upLpi+U3VxJO10ollm2WZA/Wcoln49o82YFheXKTWNPC1t2YH94bIpbNsB49WS7AsBwCg6NZA4rqjPIdELpdpOXiyWoZle585TbdxYybmxzI29+r43kf7MVTHhR9fvY4OG0seN1/7rR9toN70xnt7JQW//NM3LuU5B4XnWNyYGc3xpWl1jxc0wxr4WDgZlQ7E9BXNxJPVkp/rYdkOPn9VQK6kAgA2c3X86teWT1yEybHMkc9/1vFKuXa6uQhCyOmUa14fKh4OXGr/aWk65m9W+XStPLYbWBNCuqViwYFvLDlo/+p//hS1pgkAWN+r4x//N18c8hNdT5++LODjZ95pTS+3q/i5d+fHMq9kKh3C1AVzpa/EIo7j/N7v/R7++I//GLVaDf/yX/7LCy/kME0Tjx8/7tPTeTYKOhTN8b9eX3eRK5r+15+oZQjm+B4vZlouXu1q/tcMA9jN8a7MR4Xjuni+pXX9m6vsXmrHu9q0sFve/7wW8yyq6ctbvU1Or965yMz1Jlb7sYijUFH9/7ZtF6WaBt2092/lAk3VOjYo2PlspuVAN45//WVSNMsPKgE9v0dCBiRf9pI0Vc2CZXs71wREHvmO8kbIMDRUs+vrumL4iwZM2/EXcLS/d91ZtuMv4AC8hS2u655rTJIrK91fl5QDO2R2/j36rT1513mvQxdxKIaf2NF+3TgOtgm5bLWm4SdFO67X9lcaOlKxIFwX3X0A1ytbkVPsgneShmJ2ldmaYtAiDkIGqKYcbE9Ps4ijs1/lul7ZveiYufOaluX14/jg8UkZhuX4dRXg9Q80w7rQTsiqbvlJK4BXHxJyFfR+tgc5PhqV2NV5xwK95b6umACMrt9fvmc8RAjpn95+Rm8sv6H2jBmapx/nl+uav4ADAApV7ZhXk3GkGba/gANotQUD0FD2Y5KjNodELpeqW/4CDuBgvyfXM4eSKynXehHHWcaSmmF1xYArdR2W5dAJSgOiaJc3XjhOU7X8BRzt5yh2tNeqbqOhGohHzr+I4qzjld7vHzUXQQg5nfYmLsnY5ZYjlmXw5u0M/vLDLXzwZI8WcRBCRkKlofkLOACgVNOhaRakMT+BbhwVyt1z3/mycm3zSq78p+83f/M38Zu/+Zv4/ve/j3/+z/85/uAP/gCieP5EB0EQsLy83McnBBJFBVv5JgCAZYHplIzvfrLrD9ruLyVw7+b4dmYcxwUbKvtJfZGQgNun2LmLnA4XqqDZSqgMSjzuL15uIEozvF0inFa8bCYTwmTq6ib99HsR12WKhkR/pyKGASJyfwLcE0kZ5dZ1OY5BKh5EQzFQayV2sCxz4r2iIdHfASAgcAiM0FHYoaAAlmX84FI/kuUIOclEQka1YUCWePAcCznAt/6dFkGS4YrIIsDAn7zvPH5d4FhIAc5ftBA54Wj264DnWAQlHmrr1LSILJ57UflkSvZ37va+DiEaCmC70Dz079Fv0VDAPwXguHt57xH+xE80RIt7CTmNaEhEIiIhX1bBsQwkiUci4pUflmWQTcheeQcABoj2qU8aCR1drxNC+i8aErHX1Z6erp3sHc+H+zCej4RElFqJGQLPQhK5E39G5FkkIgE/BhALixdawAF4R7DzPOsn/1E9RK4KWeLBcYwf4x/kZ3tUYlfR0PnGAtGQiJ12P6f1tcizXXXDROLqxpsJGbZoSDw2lh+RhZ6yffo6JhGRIIocjNb8IMU2rx5J5CDwLEy/LzeYOFA0JPoJiKM2h0Qu10njh2xSxqOVoh/nuMpz1qdxlrGkJPKIhUV/4X4iEqAFHAMkSwJ4jvUXJQ0rjh6Ru8cS0ZCITFzGbtHrn8tBAeHgxcYXZx2vnHYughByOv4ijgssxjqvd+9l8ZcfbuH9R3v43//S/Uu/PyGE9IqHJSQiIsp1r8+bjku0gGNIsikZW/mG9wWDa7uAA7gGizjavvrVr+Kf/tN/imfPnuG1114793UYhoEsHxzsK5qJ9d06bMfF7EQYsfDBQdaLjTIer5YQDPD48mtTCLcGJzdkGZFwCJphIRmVEAoK+HSlho+e55GKSXiwnIV8joHRaZ7pJK7rYn2vjlrTgGHaEHkOQYnH4lQUPHf6QftbdyXslRQv+SQZoiNu++iN297v1oUXmDrL36UfZBl4846EUk2DJPLIUBB+ZE2mQhB4FsWqhoZiYGW7hrls5MKBj3fuTiAsC8iVFIgCh4+f5RAM8OBYBqm4hExchhQ4vLnZyjdQrmlgWQbVhoZcWcXSVAyabh16Sohh2ljdqcEwbWSTIWQSQZiWg7WdGjTDQiYhI9vnnYMDAof7S0kUq95zNlUTn70sYCIp0wQy6fKfvr+Ctd06JpJB/PJXb0A8IQlqdaeKz14WIfAsvvRgsmsXm3fvZxEJiWiqJv7aWzOoNAyEZQH3Fi+2qNN2XKzt1NDUTHAsA9f1Fl8tTkUvnHx1XpbtYHX7fGVY0Uys7dThuG5f6jNysmhIxJ35BGpNA+Gg0LVzNMsyuLeYRK6sgmGAbPL6DrLaGIbB3YUkcmUFDAOkohJebFag6RbS8SCySRlru3U8WyuDYYF7i0nMTuwfI16pa/jh57swLQcPbiSxPBvDynYNoshhu9DAVr6BgMghFhKRigXBsgw+f1UExzKYn4z0dUfCeCSAOwve3z4ii4hHDh9bhIIC7i0mUa7rkCV+7I9TJeQyrO3W8OHTHHYKTWTiEm7MxjGZCmE338TLrQoWJqMISjxYlsFnLwswbQcbu3XMZiNYnIpeqP8bbpXZSl1HKCjQrnaEDFgiIuH2fMI/Teeo9rRXMhLAB4/3UKxpuDUXP3cbv1tsolBRIQV4zGcjCAcFmJaDiaSMvZKCYk1DSBKwMBXtit1t7NVRaeiIyCLefW0SP/h4GwDwlYdTXdevNQ1s7NXBMgwWpk7XFxF4FtmEjKfrXsz0osdOk/Mp1TTsFJrgOQaL0zEEhJMX9ZDjCTyH+0spFCoqRIHDRCIITbewuluDbbsICBw0w0JA5LA4FTtwyp7juFjbraGhmkhEAl3jhF6dsauAyCEeDuDZehmGaWMqHep7n9x1XWzmGn69MJ+NgGUZyNLxYwHH8eYaSjUNzdb7aj9fe6wRlgUkWvGRn//iPF5uVtBQTQQDHNZ2a5jPRlCu6/7ndWGI8QxCRo1p2VjZ7o6dn0YyKuGDRzmUGxqWZ2N4//Ee1nZqCEk8HiyncXM6dmTZLlRU7BabEAUOi1NRiK32w7QcrO5UoRs23r6dQbmuQwrweLCUPHB/13WxvltHTTEQC4mYy0bOvQEGuXw8x+LeUhL5sgqBZwc2Z3JjJoawLMCyHUwkZJpnvsYEnsX9xSTyFe8z1xsTmcmE8bNvzWKn2EQ6HsTSdKyv9+/M9/jia1N922QD2J/vaGoGXNeLs85PRhE+ZL4U6B7f9eZuGIaNP/reK+QqKjJxCV98MIVEJHDiGO3nv7SARyslMADuHVJnj5L2HHP79zRu9YLAs7i/5H2W2+OFfrJtB6s7Nai6hVhYhG46/rzEZCqEXElBrqwgIHKIhkRs5uqIhERMJGSk35bxeKUI07JxdyF5qsU8nfdLxiRMp8P+93rHK71tRbGq4v1He7BtB6/fymAuG/FjJyFJQLVhYDPXQDwcwFz26HHRUf0SQq67YZ3EAQBv382CZYDVnRpyZYXyawghI+Fvf+MW/vBbT8GCwa99o7+b+V+WQlXFf/yrV9B0G+/cm8A7dyeH/UhntjQTx3c/3MRuScH9xSQyY9pG9GNccmWj25ZlYXNzE4uLiwCATz75BKVSCXNzcwO53/ONin/SxPONCt66nQHXMVAu1zS89/ku4ALVhoHvf7qNX/jSov/9zmDqk5UiHq+WEBA4NBQTf/rDNfytn7115mfyEsT2n+nN25kzJ/jnyir2igpU3cLGXh2ZRBCJiASOZc4U9BB47tiJJnJ+HMdiOhM++YUDFAoKhybck9GTigWxsVeHZbuwVBPPN8p46/YE2AsEtliWxZ35JBTNQrVhYDvfAM+xuDETA8MwR342ilUVWzlvReXqThWlqo6wLGBlpwZB4PDu/eyBn1ndqfk7xqzsVBEK8tguNP2BZ3tyKdznHQdlSYAsCXi+Ufbvv7pdQzgo0JHdBADwo8938cmLAgCg2tDx58FN/MKXFo58vaIZ+KuPt/0d7L738TZ++adv+N9nWRb3l/p/Ctd2voFCRYVlOVjZqWIqFUJYFvFyszq0I0zXdmrnLsPP1yvQTa+v82y9jLfuTIxdoH4cxcKBIxcHCzyHmSH3S0aNwLP+72Rlu+rveL2+W4eiWXi8UvR3s7ZtFyFpf3HMdz/a8nc++9MfruPBYhKiwKGhGPjkhYpQUMDSVAyS6CAaEvHhs7y/m9WLzQpeX8709b0c97fvFJbFvrfFhFxV+bKKD5/k8HyzArjegrhgwIsF5KsqbNvFVq6BakNHUzNRrKqo1HXsFJuoKwYc171w/zcii3TaHCGXKB4JnHrxRtsHT3Io13WwDIOXm1VMp8NYmIqe6Rq1poH13ToAQNGsrtheuaZhszU+VzULPMdgftK7fr6s+jvkq5qFalPHVCsZY323gVQsCIZhYDsunq2X/b7I8/UK3rh9cl9E0y1sFRr+zp6rOzXcXRjtZKGrRjdtvNys+OPTV5vVkU/YGhfBAN+VZPR8swJVs6DpFjZyDSxNR8FrLBimhuXZeNfPbhcayLeOlFc1C8HA8Quk27ErAHiyVvJ31X+5VUVIEo7cYOU88pXuekEUWD9J67ixwG6xiVxJwWbOGwtpugyltZHLYWONVMzbvGV9tw7NcKAVFXAMg51ic//zulUdSPyEkHG0sn0wdn6a2PWPH+2h2vT6Gd/9aBsBgYNu2mDgzT+JvJcI2Vu2Vd3Cq+0q4Hp9i1XUcHveOyl+bbfmn7ytaBbu30gdk4SsYK/k7batahYkkcdEnzdqIoMlifyxSbX9wLLMtd6Vk3STAsd/5mazEcwO4DNZqXfne/zgk2384pcX+3b9Z+tl6IaNV1tVuABuzsTwbL2Mt+9MHHhttaEfOb4DgO98sO7FmlqvXZiKnqqcSiJ/6P1GTamm+XPMimaB59iB10ODcNJn+SI28w0UW3MRr7aqXj89KGB9tw6GAdZ2vM9PoaKi2jAwlQ7BdbxNHJamY3jj1tnmFjZz+/dTtAbkgNAV++gcr/T67kdbaCgmAOB7H2/hb/7ssh872c43kOvpJxy2UFXRzCP7JYRcd/sncVz+iT/RkIg7C0k8Xi3hg8d7+BtfXbr0ZyCEkE6O4+AnT/O4MR0HALz/JI/FmfHrM/zRd1/5sZRvv7+BuYno2MVSvvPjdVQaBiSRx6vtGj5+nsMbt0Z/LNKpX+OSK7GI43d+53fw7W9/G4VCAb/xG78BWZbxH/7Df8A//sf/GI1GAyzLQpZl/It/8S8Qi/V3t4W29jGxgLejlOW44DoWdjdV0z+2EwBUzT7yWrXWAKWtoRjneibD7Hkm2znzIg6jlRjZfn/t/28nTBJCxovrujA66ivbdmE7Dlj2YjtR2I4D23b944st24Hruv7itsN01puG6cCwbQCC93OmBdd1D+y41VX3uN41zI66DkDX++s3o/depgOZNismAGpNvevrRvP4tlvVbT/hAAAU3RrEYx3QLkO248B1AbN1TLMxxHbd7CmzumnjtEsADGv/uR3HhW074C5YnxEySL1lramafjkEvPLQ2dZ1jhksy4FmObBsp9W3dwEXsGwbumnDclw/adK71+DaQ0JI/5iWV4bb8QLbdlFvmoiGWL9vbdqOVz8YDizbheMCju2N8R3bHWj/lxAyGpqa1fO1ecQrj2Za3f2Qzj5Hb5yvsx/R1ed2XWi6jVgrf67dL+E4Bnbrvw/7uWOfy3a6YqbDHJtcV6bldI1P6W8wOO0YVjtuZjsueO7w3/lhMajTMnrjZ7aDfoavep/3tM+m98w1WK3yb1oOpCPWk/bWT03Nos8rIUc4LHZ+Gp39CtNy4MIFAwYuvMWWR5Uzo2Mc03v/3p8xTRs4YhFHb5+B5h8JIaNK1a3ufI8+zuu052+dVh8R8E5WZyxvnNW7GV9vHd9b79Z78k2qje45rHHX+36p7Tio83dk2Y4fZwSAhmp2fa/z83Te3+XBuMLpr9NZlmzbyy9on7bXG/c8KtZgWs6R/RJCrrthnsQBAO/ez+Lxagk/ekSLOAghw2dY3f0i3bBhWc6pTh4bJY2OWI7rejlr47aIo96TV9femGSc9GtcMl6fviP89m//Nv7yL/8Sjx49wl/91V/hW9/6FkRRxB/+4R/ij/7oj/Dv/t2/wx/+4R/iK1/5ysCeofOozngkcODI+clUCPFIAI7rwnVd3JqPH3mtuwtJhCTeG5AzOPMqd8BLZOw8cjEWFiHw3c9ktxM3LQeOc3gwNxYSwXHeTqABkUMsJAIMkD3D8TW2473nw6jHJHiPKqcnQW6YjvvdkqvJS4pwTkzUsjsSQtufWcNywDAM0vH9uiEZlQ7UDSdxOwKIbQLPIRmVEAry4FivHmRZ5sAxxp3PFAsH/E5QOhH06xVZ4jGbCR96ZHo2KcN2vEQ3ubXj8EQyCLReKgW8I1+Po6rnWxgHwDvesXWvoMQjcsK9yPXx+nIGAZ7zE5ju30zCaLVxneWxLREJdO0Uc6tnx81+6rx/Jh4EwwCiwCESEv3dbrOps3fmD3tf53ndRNIrV4ZhQwpwCMviqdu2zkFIIhrwj0a2egZeZ3Ed2tbeOpxcnnRsv80KCBwWp6NIxSSAAViGQTIqItqxs+XyfByO68JxXWRTQYQCDKIhETzHIBYSIYosRIHDZFJGQOAQjwTgtsYb7Tb4tH/v05ZpQkh/tPvUyaiEqXQIAYEDwwARWcDt+Tjk4P5udeGggNlsGJm4hIDIIsB7p90loxIiIQFCR/zhIm0gIeTyGMZ+goKimFCU4xdl3FlIoD1EDgY4LE6dfiefdgwhFg4gIHJeHdGK7XXWRUJrfM4w3onB7fokFZX8TWG8Uzejfn8jHQ+C41jYtgNR4JCI7u/od9oJg5DUfbprNjlaOyyPUhxwUOQAj7Dc8Tc4x/iQHK8dx4uHBRiWjWCA98awPOuVx6R8INaXSQT9sSnHMYj17Jhp205XH75zLNtZjmSJR1Ds3svromPCdCzo1wss2x1rPE4mIYNlGcQjAXAsg4gseic8H3NSQCYeBMd5FSDDADOZcNcJYqNWZxAyTJ2xePmY0/qcntjX7fkEwHibvkynQ5hMhsCzDESBQzYlI5MI+n2XzvojLIuQpf36pfP+2aTXzzBtB8EAj2hIhGlah85rZFp1iOt6cdWT6pTzxi/a9WRnu36ZccDrEHMkV9849Y1PU1ccNt8JHP0+I3IAsfB+v+XGTPzA5nmdOsd9wPF9MIbx5lQ5lkU05J2YynMsMonggQUcgHdicjsfhWFa85cdXr+Z8vtQAZHDw5v9PbH5OL3vexB6x7C977/XOM2JnCYP4DQmErIfR8gkgoiEBJi2g4DIYTYTRrB1Up8sCcjEJa9/ABeZWNDPR2jHGNtl4qhyZRhW1/1Ege2KD3SWtcPKXeephJMpueuEvmRU8q/LcyxS0cOT0I/rlxBy3bUXcSSOKD+D9u79SQDAJ8/z0C6hjSCEkON4J0mG/TmOxeno2C3gAICHN9MwDAOaZiAdD2I+e7aT20fBm8tpsAygGhYkkcPDm+lhP9KZJVrjEttxTjUuOcqVOIljFMxlI0hEArAd99AEYp5ncXchiadrJQSl449FDMs8FmfieLpWQioinbmQbRca2Mw1wDIMptIyeI7FTqGJDx7vIRWTsDQdw7ONMmoNAy83y9BNB1KAx8+8OYOZjLf3dbmm4Ts/XkdTtWDbDuYnI1iajmFxMoqQLPiDupO82qqiUFHBcyxuLyT845I39mr4n/7sBXTDxsJUFP/1N5bBcaO/c3aurGBtpwYXwOJU9NwFrx829urYKTTBsgxuzcUPHDdPrhbLdvB0rYz13RqebVQQDwdwey6Or7w+3fU6x3H98h0QvYUVW/k6Pn1R9BZs2Q7u3UghFQ1gaTp25s9NXTHwbL0M23YxkZSxOLVfP4WCPEzLwWQ6jIXJKKbTIUiH1BXFquofBTyVCiEii5ACHCzbRaWmIRoWEQ0d/lz1poHvfbwD3bBwdyGJ126mkYoFIUsCdMNGRBbAHXHiUKGq4g+/9RRNxUQ2KePXf+EuRPFs9U4mEUQoyMMwHURCIrhDAqfkeoqHRcxlQ1jda8A2Lfwvf/YSDAssZKO4ORtHKCjgzkKiI8mBxV//wjx2ik1vQnQAwUTTcvBkrQRVs/z7x8IBPFxOQ9NtvHl7ApphgeNYv30+jd565s5Cwt8Rp/v+Np6slqHq3v3vLiQOLZ9N1cD3PtpCUzORjEpoqiYCAt/VbzjKwmQUyagXXG73vz5/VcSHz3JgAHzh7iTuLJ7+6EO/38KzuD1/8v3HjapbeLpWgmE6iEcCuDUXP3TBHOk/x3HxfKOMasMAA2BuMoJ03Et8+vJrU7g9n8DaTg1P1ypY2anj4c003riVQTIagG5Y+OR5EaZtQxQ4zE2EUa5pcOEiHZcxnQ77x5CHgjy28xY4jgHLMvjwaQ6m5SAZk3BzJnbo31s3bTxZLUE3bERDIm7PJw6dGCSE9E9TNfF0vewlR8ckfOXhFJbn4tjO1dFQTPzxe+twbAdBkYMNYK/UxG6piVJFxcpODTzHYjkcAAPgT95bheMAM5kQ3r49gQ+f5+HC2wxiHINdhFx1imbh2++vodowEAuLKFYV/OiR13f9uS/O42/+7K1Df24uG8F/8VNLqDYMZFPyof3vw+wUGvjuh9swLBvzk2HohoPV3RrCkoCJuISXW1U4joupdAiv3UyjqZqQAhy28038x++vwHZcvHYjhYfLKTRVC0GJR7Who1ApwQUgiRw+fVnwxxy35+OYSFhgW8nZp8GyDO4tJlFXDAg86/drRkFnjPXGTAzJIU12DxrLMri74P0NeI7tWlRDLsayHHzng3Ws79bxcrsKTbPgOC7uLCTwX/zUEmJhCYpm4M8/2ICq25hMhfCNL8zCdb3Yr2U7UHULwQCPz14UMJUOYSodwifP83i+UWmVnxQiIQF7RcWPE2eTMiKygK1cA6W6hg+f5XBjJoZggMfTtfKJY4STSAG+q17o3dDqKOGggIfLaaiaBcA7gTcii8eOP2RJwK25OD59UQQAbOXruDUXR1Mz6fNKSI+JhIxwUIBpOQjLh8eut/Otto1lcHMmhkRUwsJkBJ+9FLG2W/fGJ69NwgEDWeQhBzh879Md5EoKFM3Cw5tJZFNhLM/GwbEM7i2l0DikDXccFy+2KlA1C/OTUZTrGt5/tAeGAd68ncE3vjDvv3a3qMC0HNiOg9vziSPnH3XTxtO1EjTdRkQWcXshcar4vKKZeLpWRrmuo6EYyCZlzEyEYZjOpcUB13dr2O2op2k+j4yjnUITG7k6GAA3ZmJIxU63iPOy2baDp+tlNBQTwQCPOwsJf/OnTg3FwLP1CizbQSYRxNJ0DED3HOZ8NoLJlLdg9D99fwWfvCiAZYG372QRD4tQVAP/w7//vLUph4hvfGEOqViwa9wXjwTw029MY22nDt20EQuLuDV3ePy1Pd9xZ8Gb02AY5siN6wSexYObKTQUE5LI+fOxnfNCX35tEpGQiKXJOKLhwW9Kp2gWvvWjNdSb3vv+uS/On3rselaiwHWNYY+6T7sNuGj/97LsFBr4iw+3YFkObszE8NWePICziIUDeHgzDc2wYZg2/vP761A0EwtTUTy8mcL9pSR2Ck2s7dZRqGloKiZYFljdrkI3HRQrGpKxABYmo5ACHDZzDURkEdOZMO4uJCHwLGqKge+8v46GYiIdD+Krb0zDsV2EZcGfD22oJp6tlWG1FnYalg3b9jahWmjlGbx7fxJz2Qgsy8F0Zn+R9l5JwdpuDZblIJuUMT8ZOXJzyuP6JYRcd+X2SRxDimstTEaQSQSRL6v49EXBX9RBCCHDcncxBUW3wTLAnfnksB/nXPaKTXzyqgzHdlFtmmfOfxwFumnj05cF6IaNRCQAnhm/xTQ8x0LgWVTqNsIyi8A5/w7j985HWFgWEQsHDh34NRQDpZqGTEJGOChifbd+5HVebVdRqWnIJmTwPIsPn+VO/QymZWNzrwG4XpA0X9ZQbRiwbG81e7GqYWW7ilrDQKWuYX2vgbpiwLIc/OTJnn+dD5/loOo2mqqJXEVFXTXhOC5Uwzr1Ag5vUlcF4CWgb3S85+/8eAN6a4fytZ0aHq+UT/0eh8VxXG8BhwvABVZ3akPbbUTRTOwUmvvPtVsbynOQy7NXUtBUTbzYqEDTLTRUEy+3qsiXla7XFaoqag3vpAlVt/DhsxxyJRWlmobdYgOKZmJlqwrTcmHZ7pkDVeu7ddit+iRXUtBQvHtZtoONXAOy5O2eV6pphy7gALyy0y5HO4UmQkEBksi3dhiOHLmAAwD+7McbcBwXAs/h5VYVLza8uiMY4L1d/I5YwAEAf/nBJpqt3U33Sgref7x7pvfeJkuCv2MgIW1P18tQDQfpaACrew2U6xpUzcZHz/PQTa893St1l1eeZzGXjQxsN5jdYrOVGOEli+Za95dEr7wERA6xcODME5Sd9Yxu2NjONw993U6h6R+B3FRN5Mrqoa/7sw82YFoOGDBY26ljvZWosn7Kti3S0f8yLMfrN7nekYE/frJ75Gljvbr6LZaDzb2j+2rjajNXh2F6v49KXfd3XiGDV6p5fXLAO9G7oZr+JIbAc8gmQ3i1XfN2lHKBT18UoGgWPni8h4Zqoa4aaKomNMPGxy8KMCwXqu5gr6Si2tCxtlODadnYyjUhSwICAo8PHu/5x6CXqvv377Wdb/j98lrT8MsBIWRwNvbq/k52xaoGRbMwlQrBBYNK00C5pqHWNJCrqNjON+A4wFaugWcbFTAMA920sbZTx5O1MkpV72jZrXwT//G9Vb+f/fHz/KXsfEgIOZtHKwW/Td4pNvEXH27DdQHHBb79/saxPxuPSFiYip4pCeaDJzkYltfOf/y8gJebFQRFHrbj4s8+2PTjWjuFJizbW+griTx+9GjXG/u7wGcvizAtG/GId2rA2k4NwQAPOcDjw+d5NFVvnN1UTeTLKmLhwKkXcLSxLINYODBSSRa9MdbV7asde2v/DSghvr9ebVeRK6nYKynIl1SUajoMy8FWoYlHK95mT0/WylB1r5zuFpvez5RVNBQTAs+hWNVQbh0lv1NoYnWnio1cA6blQDdsvNws49maFx9zHBerO95nVeA5lOs6GDBwW7Hs9b36qcYIpyHw3KEnkp+kfYJgPCIhFg6cagF5rqxC4L0JsWrDQKWh0+eVkCPIkoBY+PDYtWHa2Mw1AHj1xUqrvljdqXuJxuEAbNvFi80abkzHMJkOYWW3jlLVG5/UFQMrO3VU6jrKdS+mxB3Rhv/kaQ6u48UhX25W8N5nu7Bsx0suXi35cbd2HELgWUgij53i4XFGwItfaK36sq6cPn6x2aozcyUFtaaBhmri+UYFOwXvdzHoOKCimdgtenFZms8j48q0HGzs1f24e7u/MYra/SjAmyc9ql5pz0MAQL6sotb0+kUr2/tzmO3X7BYb+ORFAQDgOMBHz/OwHe9ehYr3s7ph48OneQDA56/2x32Vuo7vfrwN3fTqr2rDODYu357viIUDRy7gaOM51hvDdczHds4LiTyPdEy+lAUcgPe+68399/14pTTQ+wk8649hj7LRx/7vZfjgSc6PGb7aqmL3mHbxNKTW/PknLwpwHBeSyGOvqGBttw6OY1Fp6NAMC6pmIV9RUGno2C2qeLJagqpbqDUN/OjRHnYKTWi6jXxFRUMx/Of65HneL2+FioqN3TrikYA/9wEAG7v7Ze3Jasn/jLRzH9omUyHMZiNgWe9n7Xab6Xqf9VJN67ruYY7qlxByndmOi0orpjCsRRwMw+AL97IAgPcf7Z3wakIIGax2HyMVlZCISFjdqY7lqZl/9L1XYFyv/7OZa+A//3B12I90Zr//x09g2S44jkVNMfGv//TRsB/pzIoVFUprkzPX9WJX50GLOMbAKXMPz20M6yHSg/6G19dJ64h6Pxv0USGEDIs7ZjUQta3kqhm3MkgI8RxfcqlcE3LVmKZ58osugGqN86O+FOkv9/xjTvooEkJGwJnrsBEPtI344xFCRh3VIWODxnVnM4j20T3ivwkhg1Ft6HBcgGUw1NPgvtg6feOHn+8ObbNkQgi5yqxBJ5hfguvcPtAijksSlkVkEt6xohzHYH4ycuRrb0zH/KM5AyKHt+5kTn0fgecwMxGCopnQTQuZhIRYWATPebvupGISlqZjiIZFxCMS5rNhREMieJ7F23ez/nXeuj0BnmPBcgwmkjImUzKCEu8/10lMy4Hrwt8hgmW8991elf+zb8/6x8fMTIQxlZFhtnYGHFUsy2BhKurtkMwAi5PRU+0UNgiyJGAyJfvPtdg6arKfrNauKoWKcvKLyalV6hrWdmrQzrgrbjYpQ5Z4LM/FIQW8UytuzsQO7OCfjgURCgpoqCY4lsHbdyYwkQwiHhGRjEgICDyWZmKIhcVzrbSfn4ygqRrIV1TEoxLCrd01eY7FfDYCMADD4NjP5OJUFJphQdFMzE6EIfCnb4q+/oU5sCwD07JxcyaG5bnEqX/2a+/MIiR7O29kkzLevXexYxptx0W1oUPRBptkQ8bDnfkEYmERpu3i5kwMiYiEoMThjeU0AgKHYMD7X105+y4/tu2gUtf9Uy1Oq912A0AoKGDimBM/VN1Cpa7Dtk/u2KdjQX/npoDIdR1t3GkqHfJP7woFBWQTh9//6+/MQRI5CDyLpako5rOR/TrlCIpmYW2nhmpD7/p3kWfx1u0Jvy76wt1JsCwL1/XKa+OY338sHEAq5tWLPM9i7pC+2l5JwcZe/dSne4ya2YkIRMGrc+ORwNB2XLnKHMfbvbF3h6xk1OuTA97Os7OZ8IGf/cK9Cb+f+XA5DVni8c69LCZTMtJxr80NCCzuLybBsoAscZjLhpFNhrAwFYXAc5jNhgHG6x++cy/rt7HJqARJ5LC2U0Ol3r3T23Qm7PfLoyERqXjwxPdZqChdJwkQQs5mLhsB3yqfqZjknyi1OBVDPOLtSM1yDKZSIdxdSCIo8ZjJRHBzNgaGYRAM8FiYjODufALRsADXdTGTCeGrr02hrhiwXRdv3MpAPMNu/YSQy3F/Ke33CaZSIfy1t6bBMF7c7K+/OwdB2N8t0rZtPFkpYmW7euJ1j+rPv3N3wq9v3riVxp0FbwwdEDl8/Z1ZP67V2XcHvIlV07KhmzYe3EhClrxnZpju2NhbtzL+TvgnjTkGwWqNlbQzjpVOozPGqhnWgThHO27We0IqIZ1uTMcwkQwim5SRiQcRD4sQeAZLk1G8cTuDgMDhrdsTCAa8/ngiEkAqKiETl/yyNT8ZRabVR59Kh7A4HcNcK54WEDncnE3gdqtsu66LRCQAzbAgtE7/dOFC0UxEZQFwAcP2YvDJ2P4YpVNDNVFt6CO1A91sJuyf+NEb06wpBtZ2alC00d5VmVxfxaqKjb06jBEYP4sCh9kJLx7BsgyWWm3b4lTEj+/1zkneW0ggEfF2g4/IIpamIl3lUDO8PojZ8/7evjMBsRVruDWfwJcfToLnvBN17i4mMduK+0VDItLxIHTThqpbiIaEI+N3nfGLiOz9HHByXLM9BzGRlCEKHBgGWJ7dn4c9Kg7YL73zeQuT/Z/Pu84UzWsHaueIu19lmnF4/Py82v2K08wBDttEIohway4wGOAxdURuQ3seAgAyiaCf07A0HUW5rqFYUTGbCYHnWEymwnh9OQ0A4DkGv/jFBSQiAYSCvHdiRlj060/TsjE3EYHcmpuJhUX8zBvTR/ZletUV40J/t8lUyJ8XEgWvv9hbR/fqV//vwY00Iq3fYzwSwL2l5IWu1w9z2UhXjDw+xATm0+gcwy9OR7tyc/ZKCjaPmJ8yTLvVHnt9fX9OrHXSxVt3Mn4bOp0JYaHV7s1PRv0T7uYmo0jHZUymgri7mEQwwCMaEvHF+1lMpUMQeAYhiUdA9PIU1nZquD0Xg9wat6RiQdya35+3b7fP061yZDsOZifCkFrPkU3KCB9zsh7XbjNb9Y4XixhObg4h46xU9eYE45HDT+u7LG/c8uY9SzUNT1uniRJCyDD09jEWp2Jj2cf45Z++Acd1YdoOZiZkfPMrN4b9SGf269+8C4FnYDsOojKP/+abD4b9SGeWigchSzyaqgmG8WJX58G4oxSNH3GffvopAODhw4fnvobtuGAZnKrwG4Z1rqSLZ+tllGuad5QwwyATDyIWFrE8l+jqlNm2A45jYVgOeBb+0YQAUK5reLFRgWk6CAUF3FlIdB3FeRzNsPBopQTLcsCyDG7NxfH+o13/uODbCwl88f4kbNtGpWFiZbsKx3HBcyzuLyVPfZ9haa/6GtYCjk5n+TydhWU5+OP3Vv1j9d6+O4H7S6m+3mNcffDBBxBF8Vz1wNpODd/7eAuuC8gBHt/86pIfxDst23bAMIDleMnKvQzTxuevitANGxzH4PZ8ApLI4/FqEYpqQRBYLE17QZjzeLRSxAeP9+DCC3Z988uLfjAJOF35WN+tYafgJbcmYxJunWEhRq6s4OVmGZbtTWzfW0qdebCpqgaCwYsdHWw7Lp6slvxjXheno5g4IkGdXD2H1QPttk/VTAREHjemowgHRYgiB9t2sLJd84/IzqbkU0/WWbaDRytFaLoNMMDNmRhSsZMTrDu12/ujlGsanm9WANebqH1wI3XikcSnue5ZX6caNoIid2Lb1lAM/KcfrPr13NfemsVMT0e4nVjO894CjucbFb9Nm86EMDtx9MTsUff/ydMcHr0qAvAmdX7+i/Ndfadxctq/CTleb13gOA6+8+MNv897dzGBL/QsGDzpd9/52W1zHAeWA+QKTfzFR+uoNi00VQOv3cxgbiKMe4vJrmt2tsWu68JxAd2w8cffX4GiW2AY4KffmMFCz2TraT8Xn78q4sOnOQBeW/yLPX0BQq6Ti4wN2uWzsy+7W2ziWz9aw15RgesC7z7I4o1bGYQCPLYKTewVFazsVJArKeA5Hi4cvHlrAlFZAC+w+MmTPBzHQTwSwC999QaVTUIuwXnrgc6Yn6J440pZ7l7A8f/5kyfYKXj9ijdupfHNrywdeq1iVcXLrSrgAlKAw/2l7v58uy/RjiF03vuwuggANvbq2NyrA/CC0Lfnu8ftvWP/YfQvTcvBo1dF6KbtJWPOxZGI9HeRcjvGCnjB97lWwqnjOPjTH657sVcAr91M4c3bE329NxkvJ9UFhmGh2jTxbK0IMCzCsoDXbqa7yt6LzTJKVW/cmogGcGsu4Zetw8pqO1m5XfYU3cKTlSIs2wXLMrizkEBIEvBopYi9YhMfPS8gHBQQCQn4+jvzmEofTGjczNWxnfdidrGwiNvziZGaxOyta/ZKCr7z43XYtguR5/ALX55HvM/1ACGndVg98Hi1iA8ee+PnWFjEL35l6dCY/mU7KvZ13Jxk+3ud5bCuGHi6Vvbm93gWD26k/CRl4GAfxDQtuAx74HdQqml4tl7GTr4Bw3Ywn41gdiLit7sHnr/jGU7qB3Xa2K1hu9CEAy+ecWc+4e9KfBl13aDm866zSl3Dn763DsPy4sTf+ML8gY3PLtNFYgT91FAM/Ml7q1B1r5/8tbdmjyxPZzVKc+QnOc0Y5bA+1nuf7eD5updcOjsRwde/MOd/TzVsePnnDB6tlrwN9RhgbiKMqUwEmt7KkbC9HIkb01EkO+ZzTnqmtd0a9lqx5WRUwvJc/OxvvKVS1/Bis3pkHd02iP7feXNcBuWoce+gXLQu6G0/AeDHj3fxZNX7XE4kg/i5d/fnp5qqicerJTiOC45jcG8xiY29OqoNb3Fb55zYYX+b9u8HrjeOaP93Zz5CUzXxeKUE07ahaBa28nWwDOv3weUA33XdUk3Di455xzvzcTxdq0A3bbhwcWM6hswp59XHqd4hpG1U+gQA8KNHu/g///c/xPJsDP/3/+PPDvVZ/q+//wH+/INN/Jdfu4H/9leH/7shZJBGqR4ghxv3Psa/+l8+wXd/sg64QCYZwu/+w59C+JANe0bZVr6BP/9gA42mjmRcxt/4yqK/mfi4aOfpepsqcbg9n/A3CABOv95g+NHCa4ZjmVMPfM8zuG3vesMwDKoNw09YrDaMAyddtIMEIs8eSELMlbykEZ5noZu2v0r/NEo1zU9AcxwXG3s1P5kNgB/44DhvR/J2pWjZDoo17eAFRwzLMiNTgZ/l83QWe2XF/+wAwPP1St/vcR093yj7x44quoW13ZN30+zFcV55PWqyp9za9cpL3ATyZRV1xYBhOq1kZqBYPX85e75eAcMwYBkGlbqOvZ4dJ09TPvZKChjG++yWazoM8/Sn8OyVFHAsh4DAQdGsY3fVP8pFF3AAXhC82VEv7pVo583rrlT12j6B5+A4LqpNw99tznFdfwEH4LWxp1VrGt4CDgBwgVxJPfOznTRRsVdW/DOLdcM+9S5Pp03SOu3rgq3f10lt28p2Fbrh/U5s28WLjYO7dfA86yeu6obd1aadVF6Puv+LjrYwX1b9APg4ogUcg1FrGl193hebB9v5k373nZ/dtna7v1VowHVZqJoFx/ESFRTNOnBKT2dbzDAMOJbBxm4dSut1ruv1Sc76bG2dP1uu68jTqW2EnEu7fHZ6sVGBqlmwHReO62K30ES+rILjOeTLKliWQammQzMcNDQDTdVCua5BMx08WvHKJsuyqDXNAycCEUJGS2fMT5aFrgUcAJCvqP4CDgB4tFI68lq5kur35zXdRq3Z3U/tjSF03vuwughojb05FhzHolLXofeM23vH/sPoX3Y+Vzv+0U96ayfTdvyicxxRam+e0/J8o9LXe5OrRxR55MoKBIGHwLPQDRv1nrJaruld/22Ytl+2Diur7TLaVq3rsGyvMnAcF/myiqZmQtEs5CoqLNtBQzXhODjyhJ/Oz3m1Yfhj71HRW9c83yjDbr1nw7Kxsl0bxmMRcqQXHe1DtWFgb0T66EfFvo6bk2x/r7Mc5svq/vye5fi7/Lb19kEEgT90XiNXUmDbLpqaBdN00FTNY+N3nc9wUj+oU76qefUpw6DWMKDq1sDm2A5zmfe6Ll5t12BY+3Hil5uV4T7QiFjbrUPV9/vJL/rYVx2lOfKTnGaMclgf6+VmxR8DbOUbXad9BUUOHMehphhQNQtc64jCUt17TbGmwbL3cySqPXXScc/kuu6BMUdvbsdZlGp6Vx1drB4+XhpE/2+UFnAAR497R9VheQCdcw25ktrV3hUq++2xbbvYKTS75q86/8aH/W3avx+OY7v+u/M5SjUNjuuCY1ls5RqoN705csOy8WKzcuC6uVL3vONWoemP3xkwyFdOP34fp3qHkFHU7qMnjjkF6rL81OvTAIDvf7zt11uEEDIs497H+PhZDoIgQBAFVBoGPni2N+xHOrNn614ebUgOQDdsrOyMX2zXG7c54Fi2FZM/X+4MZXBdMTzH+hUMzzPgee+/WZY51a7abWLPTgzCGXYH6t3FQQ7y4Lj9Si8o7U9Mi0L3dc9yHzI4IYkHOtopKXBwZw5ydrLUnZQR7sNigl69QR1BYA+U596vzyIodfws450oclad92dbgaDT6qpfmOHVGaLAdZWRw3avIdfLceWMZdmuzv9ZPre9Zbq33eyH3s/vReqIyxDqqTuD0tHHLQNeUnzn71/kz/f+Ous/hgECIzYRQYZPCvT0efv8GWmf3tWecAq02qLT7LQvB7ufpbdPchbBzraf6fmaEHIhclAA17HBQkD0Ej1ZBv54XuRZsAwDnvUWVos8B5ZlEOrpp4eC5y/nhJDhC8tiV7/iuLa7d4zQjx2+O8csLOvVOaNm0DFFvmcSp/P6ksijMwfzPLERcv30fkYPlN3eeNkZy91hZULgWIDZ/177mkf14XufYdRP9Qr11I1ygPo/ZLQEOz+TDM58KveoO6leO8t1uNb4pv31adv1s/SDOr/HDHFugfRPsGfukmJUnlBPHDB4xeqeQeuM6XIcA54/+PvrnWNo10W9/36WuUOGYbrqKY5jLnQSeG/9eNSzjFv/77rqrN84joHU8XXvnJ4U4LvnxPow59d5DVFgu8Yqh8Uge+/Z228f9XlIQq6S9kaTyRFYxPH2nQkEAxwKVe3QzeYIIYScXuecBMMAE6c85WyU9PYje/uM46BfObk0ar9ieI7Frbk4NnMN3J5PAAAEnsPsRBg8x6Jc07yjPVkGtuNClnikOo7xbJvLRmA7LlTdQjoWRCwcOPUzpGJBKJqFSkOHwDHgWQ73F5NY36uD5zi8e3/Cf+1kMgTDdFBXDMRCIjLxg8/iOC5yZQWW7SAdD0ISeVQbOmpNAxFZRDxy+me7KMt2/B3UJ5LymRbGjJN4RMKXH0zi8WoJwQCPL782NexHuhK+cHcCuuntBrUwefRx4Gfluvu76zmuC0HwErvCQQGzExFwLIP5yQgKFRVSgMd0OoTtQgOu6zXiAs/CdlxvxyvHwURCPrJR+erDabz32Q5U3cKdheS5VuzfmotjbacOVbcQDHAoVlRkEsFT7UK1OBXFKmowTBvZZKgrkaWzfGaT8kB3Ag0GeNyYjmG32IQocFicig7sXmQ8pONBqLrX9oWDAqZSIQDe7rB1xcBkSka1YYBlGCxMnVz22+VaN21kUzLqTQMBkcP8ZP8/a3PZCGzbhWpYyMSDiAzheLp8WYVmWEjFpBOTy2/MxFCqqdjKN5GIBPDm7Ymu73fWBaLAQtVtZJMyak0DHMtg4ZDymisr0A372Pv/zJsz+OHnuzAtB6/dTF25iXdycZLI46sPp/HpywJ4jsWXHkye6zqqbqFQUREQOL991AwLsbCIZFSCFGDRUC2kohJmJ8KQTrFYZC4bwcPlNFZ3aoiGRHzh7sShrzMtG7myCoYBssnQoYljX3l9Gu99ug3dsHFvMYl45HIDv67rIldWYZg2MvEgTNtBpa4jFBRGIghNyEW8fjMNRTUh7rCQRB4Pl9OYy0bAMAxuz8fxk6d7sCwHtuMgGOCRiAUhCAzkAI+372Tx6cvChfrphJDha8ftYuEAvvmlRfzgsx0IPItf/PJC1+s0w+sv8ByL2YkIHNeFbtjIJORjj5tuqiZKNQ2SyCOT6I7BNRQD5boOWeL9cbvjupidCJ96fG1aDnJl5di+xFkpmoliVUNA5LomImLhAOayERSqKoIBvm8xljauI8baO44LyyK++vo0PntZgChwFDcjp7I0HcXKds3b+b11wq1u2mgoJkJB4dhyZ9uOv4Nub0y6Kx6WCmIr3wQDQNVN5CvAbCYEOcCDZVg4rotsUsbDm+lDn3F5No61nRpsx8VMJjzyse+HN9NotuqIqXQIdxYTw34kQrp8+bVJvPfZLlTdxO255KFzceNsOhP2T/lJRAJwHGBjr94VX+ttxw3TRq6sgOdYTCRksK1YnesCYNAa68snxk/bsRMpwCMeEWGYTlc/6LD+w/JsHKu7Ndi2i+lMCMI5N3rpl87472liouSge4sp1BUTO4UmUjHpyPbtulmciqFc07G+V0c8LOLt25lhP9LQtOdnHMcFyzKIhQOIhrx6orMMpuNBP0n+a2/P4P1HOTiOgzfvTBy6OCwUFLA4HUWupHTNEWYSQRQqCraLTaRjEiZb80TA/qnKiaiEkMQfeu/b8wm/PziXjVxoPDWdDsO0vDo6Hg4c2QaNW//vuvpaa37Ksh08vJnumhPIJmXopu3n20ynQxA4Fo9WiuB5Fg+mU/5rNd1CvqJCFDhMnHJuHgAmEkHkKwr2SgruLibRVE0UqhomkzLuzB/sg89PRuA4LmrN/dMtJxIyXm1XEA4KWOiZ62znKTiui4lEcOhtNCFXSXsRR2oE5gtEgcO79yfxlx9u4Xsfb+POQnLYj0QIuaYuM79wUP7b/+o1/D/+vx9BM2187c0Z3FtKnfxDI+bN2xNY265it6Tg3kISN2Ziw36kM0tGJcTCIjZzDSRjEqYz4XNdh3Fdl86oOqVPP/0UAPDw4cMhP8n5FKsqXm5WoRsW1vfqmMmEIUsCFqaiyCb7vxrLMG18+rLgH2k+lQ6da0L11VYVhdaRigLPYn4ygpcdR0bemotfWoLK56+KaKre8ZChoIAHN8avAiQX88EHH0AUxZGqBzb26tjON7C2W4dlO1icjCIZl3D3iEHPk9WSf8xqUOLx2o0Unm9UUKnrAICAyOHhzfRAjw3rV/3Q6dOXBaiaBQAIywLuj2EHhYyH09YD5bqG5+sV/+s7C4lTL4rc2Ktjp9AE4O2q8/Bm+sruTLOVb2Ar1wDg7fT02s3UqZLSj/LZywIUzUKtaaDS0DCfjQIMcG8xeegClc1cHdv5pn//h8tpOl2HnMog+gS97eNkSsZ0JoxPXhRgWY7/mnZ9IPAsHi6n+zK55jguPntVgKZ7x5rHwuJIBlDXdmp+Aptp2a1dir33vzQdO5CQSsggXebYYKfQxL/9zjNs5hrQDRuhoIDXbqbgOMDCVAQBgcODGylK/CHkkvWzHihUVLzaasW7jum/WraDT18UYLb6BplEEEvTJwe3Nd3CZ6+KcByvnzE7EfYDyk3VxKOVItpR4sWpKCbOGCt0XRefvSxC1b1xeTQsHhmXOC3dtPFZn2MHhAzCWeqC9phV0y3kKirmW5/p4/qyj1aKaCheTDoo8V1Jqu3rAYDjumAZBrulJmoNA7MTYUTDATy8maYd5wkZsFGcN7hM2/kGNjvjezdSYFgGn74o+H2PyZSMcs1bwAZ4E93Lc/Ez38u0bHzyojt20rnxjWZY+Ozlfp9nZiKMmXNOog/SdYr/XhfXvR4YNe35mVrTwG6xielMGGFZ8MdZ67s17Ba9GGO/ymCtaeDJWglojatuzsaQigWxW2xifbcOwNslNxYWUakb/r1fX05T0voVMuy6wHFcfPqyAN3w2tt4JIDb8wmYlhdLsGwvlpBNyoduenaYakPH07X9XfNPk59jWjY+fVGEZTswLQfVpo50azHRdCaE2Yn9sf2z9fKl5ikQMmjDrgc6/dP//j28/2gP/93feQPf/MrisB8H3/9kG/+X//f7mEgE8f/6P/38qReTETJuRqkeIAd1xlPHNb/wex9vYXW7BgAQRQ7/5c/cuFCe1TA8Xi3ig8c5AN446Re+tIDMmJ0o0mjNrbXHgIvT0a7NyE673oAi99dIO2lb0S24LvxJ1VpTH8j9mprpB1EBb3B3Hp3PZ1qOv6Bj//vG+R7wjGzH9RdwAN4Et90a5BIyTNWGDst2YZg2HMeF1jrt4zCu63Z9T9UsmJbT9W+6YfsTKYPSr/qhzbQcfwEHADQU05+kIWRYesvhWdqrzjJh2y6amnnMq8dbrbH/e3F62tqzsmzHH2wpmglNt+G4LuAe/fvv/PeL3p+Qi+ptH2tNA4pm+Qs4AO/kmDbTcvw+/UWZtuMv4GjfexRVO8YGNcXwJ6OAwY1rCBkFhYqCmmLCdQHb8cp+oazCdV1orTF+g9owQsZaV9vrAvUj2mJNt/wFHEB3f/o4DbV7nNx5v7pioHObn/P0A3r7Jf3oSyjqwb4RIeOsa8yqews57Fbhqx7Rl3Uc11/AAezH8nqvB3inXDqu68fIFN0bS/RrzEAIIUep9sb3NBPNnr5Hsap2zTscVe+dpKla3XMLPf2D3vtedO5hUDr7NbZNMUlC+s3Pi2jNraia2TXO6i2DnX2q86orhp+803mPznu5LvzFI+17N1Xqq5H+0U27J2a+XxasjtyWs4yvzzPfqWiWfz/NsLrGNMddTzdsGAPOUyDkOim3TuJIxoZ/EgcAvHMvi2CAQ66s4tFKadiPQwi5hnrjqeOaX5jrGFMYhu3X9+Nkt7D/HrxxUnOIT3M+9ebhY8CzokUc10h7975ga9WV1Dqa87Bd/fpBloSuFfKR0PnuE+54Pp5nDxz3GZYvZ6dRjmUQlPZXrAUlfiyPUyJXTyQkguMYCDwLlmEQEDhEgoeXN4ZhusqMFOAg8CwiHf8mCuzAd3zqV/3QxnOMf9ww4J2UQzt0kGHrbV/P0l51lgmWZa70rtqdvxeWZRC6wHvlOdavC4IBHgGRA9vawSMcPPy6nX8n73c9XqvTydVyoH2URQQDfNdJG+n4fl+Y59i+7aggcCwC4n77P6gxwkV1PldEFiGOwTMT0g+pWBCRoACGAViWRVDkkYxKYBgGksiDYY5u6wgh46F3vBA+ol2TevoGpx1nhFp1yGE/F5ZF4IjvnZbA9/QljohLnEVQ4nv6RlTPkfF22JiVaxXM6BFlnmUZhDra+GCA90/V6LweACSjAbDMfowsKPLgemJmhBAyCJ19B4YBQpIAuacdT0SlrlOBzjuG771ub/0ZOiS2Mop6Y6IyjecI6Ss/L6Kj7wXsj7MGMS/QG5eJHHIvMOjamZXmJEi/iQIHUehsb73PpSx5Y4O2s4z7D8YrTv7ZYGD/fpLIdX3Oj5s/DQgcnUxFSB+V2os4IqOxiCMgcPjpN2YAAN9+f33IT0MIuY5646njml+Y7jjRWeQ5xMKjUc+fRed7AIOxO4UDaPVjOz4+541B0YjwEuwWmyjVNIQkAXPZCBTdwmauDtNy4LouWIaF4zrgORbpeLBr4H4Uy3Lwo0e7qDR0BAM8skkZoaCAuYnIkRVLKiZhO99AQzVwbzGBdFxGUOJPdb/jmJaNtd06TNNBNiUj2To6MSBwuLeYRKGqwrIcKKqJZ+tlzGcj/gISx3Hw/qM9FGsaRJ7FdCYMufV74lrv48Z0DHKAh2k7mEjICAZ47JWa2CspyMS9+23u1fHZqyJ4jsW797OIhQNnfh+27WBttw7NsJCJy8gkgtgrKShWVWzm6tjYa0AUOLx1O4NYOIDJVOhCvzdCTqKbNtZ2arBtF9OZEJ5vlJErq8jEg3jn7gRY1gvAhAMC/urjLVTrOu7MJ7AwFTnw+Xy0UsTqTg1RWcTbdzIo1rzdp1JRCT/8fBeFigopwOH2XAITSRnb+QbqioFoSOw6zrTXR89y2C40kYxK+MLdLHie9eu8YIDH/GTUL8ttqm5hY6+O3WIDuZKKVEzCw+XjjybLl1XkKwokkcfCZOTAAiqGYXB3MeHvXjOV7n7/T1fLeLldQTgo4IsPJsfuCDEyHv7Nt59hZbuKZFTCu69lEeB5TGdCsG0X0ZCIxBmCI1OpEHYLTTQ1E7fm4ghcUsCyVNOwV1QgCCwWJqNdE6uGaWNttwbLcjGVDiEeOXtbe5jZiTAEnoVu2khFJUgB/si+xXH++Acr2Mo3kUkE8frNFKbSIe+6ho1YOHBk3yAdl/DhsxyqDR0Pl9NH1g+aYWF9tw7HccEw3gldx/W9HMfFRq6OpmoiHglgOh3u+n65pmG3qEDgWSxMRc50XPp2voFKQ4dlOdgpNgAwePvOxFgOaq6DvZKCj57lwDDAO3ezBxYkO46L9b06yjUNmmHBMO3WTtle4sPLrQqaqgmOBWwHaDR1fPyyABcMppIhlGoavvjaZFfSwnd+vIGV7SrSMQl/4ytLXQsdjsKyDO4tJrFbbIJlmTP1dU3LwfpuDbppI5uUu95jUzWxkasDAOazkQsvSluYjEISeRiWjUw8CMN0UG3oCAWFrgUuhIyLQlXFn7y3inxJxe35ON6+mwUD4PFaCbbt4tZcAvOTEcQjATy4mfR2y3d0cKyLUk2D7Tj49GUeDIAXm2X8/BcXkI6frT2wLAc/frKHUk3DdDqEN29PDOS9noeimdjYq8MFMDcR6UpiJeQqaKgmNnN1MACmUmFU6jr2yk3cmIqhrhj4/ifb4DkWb97O4MlaCbWmgblsBPeWksiVvb5kOhbEq62qH89a263i4+cFhIICfukrS4iG95OX7i4mUapqkAI8YmERzzfKsCwv5nBnPoFKXUdQ4uE4Dv7H//QIlu3ip9+YxupODWu7dWSTMt69l8HHL4pwXXT1QRnm/H2Jo0ii98zFqoqAwCEZDeDFRgWm5WAyJSNxinECIaOg3edXNBPxiOiPpyt1HX/yw1VEZBHRsIhKQ4fjuJiZCCMii2ioBv7oe6+wsl0Fz7J47WYaX3k4BdtxsbFXR6Wuod7aLW4iEcTy3AQKZQWbuTpqiobyKw0Lk1GomomaYiIqi3jzVho7JcUv++eJowPAVr6BakNHOOjF8hlm/CY7CSGHOyzmD3TH6OcnI12LSmcnwuA5Bms7dfA8i0crRXzysoB8WcVkKoivvz2PmYkwOK6B5+tlhCQBi1PRI5+hVFXxx++tQTNsvH03g2hIxKutKkSBQyoqIV9RUG8auDXvjZc6SQEeM5kwnq6VEBA5pOP96y8Uqyr2SgoCAoeFqSh4jj13jG8+G0FA4KCbNtKxYFf813Ec/PhJDoWKiolEEF+4N9m390DIOFE00+9DsQwDx3H9Ta8WpqJoKEZXmSxUVJRqGpqKCSnAYW2vClWzEIsEcHM2jlg4gGhrA62pdAg7xSZqTS+u+HKzism07M/j5MsKfvI0BwB45+7EgVjLYfVBLBzArfk4ag0DYVlAIiJhbbeGpmoiKPGIyiISUQnhoIBcWYFuevHNdsK6qltY363BBTCbCR+5sP8sbMfF+m4N1aaB9d0aeI7Fzek47iwmLnztfumM/cxORMZik5KPn+exlW8gEQ7g3fuTfls5CjiWwUwmgk9fFlBt6OC4CHaLTUymQv6YPV9WvdydtRK+9aMNKLqJd+9NYGYicmCcoGgmciUFLzbLqDcNhIIiIrIA23ZQqGjIV1XwLAPbduG4LuIRL4+mfb98RYXIc9gtNfHJ8zxs24XIMQgHBSSiEnaLTViWAxcuskkZ8YiE5xvlsfo8EDKqbMdFpe7lBY3KSRwA8I0vzOFbP1rH9z7exj/8rx76+YOEEHJZOvMLxzX/l4GLf/fdl7BsF2/dSuHXfv72sB/pzGZSIfyLn/wEtYaB+ckI/nffvDfsRzqziCwiHg5gM1dHIiIhc858FWoJB6xc17C+6yUtNRQTDAMUKhos28H6npecLUsCak0DS9NRNBQTwQB/4qqcD5/l8GqrCkUzUa7reO1GCpmEDIFnDyQJtu0Um9AMG+GgCNvxVgL1JpGdx8p2ze/41VUDr99M+52sUFCAFODx0bOcf7yxZlh4fTkDAPj0ZRHPNyrQDAvFqoa6YmAmEwHLAPOTXgCXZRlMZ/bfU66soKlaCAdFqLqFtd0afvDpjn/97360hV/+6Rtnfh/re3UUKioAoKFUYVo2NnMN1Js6vvP+BkSRQ0jyBqR/75cfnPO3Rcjpvdys+EeLfvvHRdSbJjiWQamqQZYEPLjhLXz4w//8DHsl77P7yasivvRwqmsCZafQwE+eeIHGUlUDyzL46uvTAICfPM3hxUbFe2EduDEdR6WuY6fgHVHVUEyIAnfoYq9XW1V89rLoX1cUONyciXXVeRzL+GW5rb0Y5dGrEhiGAc+zeO/TXXz9C3OH/h4aqomV7ap/TYYBlqZjB14n8BzmsgcXnOyVFLz/eNd/TgD42luzh96LkPP6sw/W8f6jPQDA2k4N1YaJn3lzGopq4a07mTMnM6zv1r2Tc4IidooKUrHgwE/jUHULLzYr/lFvjuPi9vx+IP/lZtU7DhxAY8PAG7cyfdkNh2EOJngd17c4zPc/3cLHzwsAgEJFRSwcwF87ZTl//9Eeag0DDBh89qKImXT40MUQLzeraKom6oqB3aLi99t4jsVM5mDfa7fYxF5r4NdQTAQEzu93aYb3u3Zbv2vbcXBnIXmq5/UWlza89/3JFgKi12/8sx9v4u/89WV/gR8ZDZbl4C8+2IRhecd//8UHm/hb37jV9ZqtfAO5koLVHe8zZjsubMdFMMBjM1dDQ7UQC4loaiYsy8XabhX1pve6fEmBKLAwLBu/9NUlAMDHz3N4/5HX7hUqKkSBw99ofe8kosAdaLdPY22n5u/m01CrCAZ4yJIA13XxdL0My/KOTX+qlfHWnYslh7Ms07VYU5bQt0VlhAzD//oXL7G+W4eqW9grKXBdF4bloKl6R/mqugUpwGEr1/DKvu2iqZlQdCBX0WCYDnTTBs8x0Awbju3if/s37p/pGT55WfDHBKWqhmgogBszB/vbw/BsvQzDbNUhavlc/SpCRpXjuHi2VoZle5/xT1+uQtNtMGDwfLOCj57n/aSJP/jTop9MVKpqiIcDWGi12a+2qn48a3VnFx89zYHjWBQqKv7j91fwv/mFO/49I7LoxxwfrRT9mMPzDRNv3Er79/t//k8f+8c+/w///hHCQQ4cx6FQUfHZy4K/2cOf/WQTf+fr+33Q8/YljhMOCn7SxtO1EqqN1phENY5dhE3IKGn3+QFvfHh7PoG13So+epZDU7NQb5r4t99+hi89mEIsHEBzvYw3b0/gP31/FZ++KKJS1+G43hghGZMwlQohV1KwtluDbtiYyYTR1CwwDLCyU4OiWdjOK14/wbBQqGq4u5hCqaphu9DA4pTXzrfL/lk2FQC8ccZWa1zaUEwIPHdgQxVCyHh6sVnuivkHBA5v3ZlAsydGD6BrzMAwDCzbS66u1HX86LG3cRTPsmiqJuazFcQjAezkmwi3TuvayjcOjfMDwL/77ivsterN//XPX+LuYgKm5UI3Lfy4YSAWDiAgcNjMNbA4Ge1a2GnZDrbyDT+W+nKzitdupi/8u1E0Ey+3qoALNGC2kkvD547xHRYTbft8pYRna2UA3t8hFBRwb/H4jbAIuWpc18WTtTJ008bKVhVwXbhgwPMMlqZiqCsF2I7rl8maYsA0HdSaOnaLClTDasU4RLAMi6ZmYqFj8dj6bh0sw6ChmMiVVTiT3hjj9Vv/f/b+M1i2NT3IBJ9lc6V327uzjz/n+nvLSyovqYCWhISkoRFNMDR09IQYpls/GNBAzAwgOqaHiUARNMN0MD2ooZuIxnQjCYRsSVUllcrdunXt8WZ7nz6XN/NjZa6dmTu3PWbvfWs9ETfuyZ0rl8n8vvd73fe+oyiSwO9/dxnbDn26v//mMj/7xd2kqGHy4MpMAYBiVotst9WtVhQjAJgaSUebSIbN/7uLVazONe8YVV6/NvbEVYFXNptsVQ3ef7jNZjUsrFepmxRyCcZLZ6Mo1L3FGpYTPvddo8pr10bPdDXkR6t13r0fxqMqdRNFEc/UZjvX81lYb2CYDm3D4eFKHc8LbYl8JoEfhGtQ23T59a89wLBcRFHkf/2DB3zpkxcYLaT67IR7izXur1RZXG9Sb9sU0iqKLCIIoY9hq2awXTNJKCKqIlHIJrAdP7rehQmFrarO+w92qDYtLNvjzbtbOH7A3EQ2yisQEJBEkYXVxrkaDzExZ5l6y8IPQBQ4cQGHZ8ELF8tMlFOs7+j88XtrfP4jw/OEYmJiYp4V++UXnif+u3/9dmQ7fOf2Fl/57iKffWPulO/qePzS/+8bVDtFyB+tNvh//5u3+Pmfef2U7+p4VBsmtaZFJqniuD6r260Di6XvR5zl9YzpTpYuuuVGwVnH9XFcH9vxCIIAr/P3wc8Mo+sk7W5c0C3n0M8Ovmce4TpHoe+8AZFR1cX1/Og+B49vG4PPESaqDJ5j3+sB9bbVd369k+xyXEyr/7xNoxsUdvCDMLgO0OoksMbEPGt656huuPi+H71u9ozDpm5F/w6CcKNTL82OvBj22cHx3NTtPXNsP7nSaFt9r1tDPjtMzli2h2G6BIAfBPg+tE1nz3G7x/fP6cG5ehi93w8QJcTFxDxNtmtm518BfgBtMxx3rueHgYRj0rcOBkTJi88S2/GiDRx77oFw40F0S0GoxzwrDtMtBqk3+2VZo2Xtc+ReWsagjBwuj7r31O2kdpjeNij/ep8hPMf+xx5E93qe52M5Pm5HB7JdD/sZ/iYxJ8N23WgDB4Bu96/n0D+2XD/A9Tr2gR9gWB6+H+B5AZbt4XhhsnZAWNXKD8Cwvb5x3N0A1aXefva666DM6r72/SDawAHhM55EJsbEfJhp6XYkFzw/oKW7ffqu4/oYphv6D5xQPoT2abhRzPFCfwKEekfTcPrm3VFoDuj1zTNi8/p+0KcDnVSviok5q3iddb9Ls23vzmfXx+jRvwfnZe/rPj+b7vTNk0G7vZfezw3Ot15fgWm5dJf6IAj69A7b9o4tc56EXp3jWdskMTFPkz2+Nsdjp271zVfddHE6MsHzQvnQ1B1cz8MPusWRPCzbQzdD+dCdA47r4/sBjuvT6vi0u3NTNz18H3wvvIdGj30wOPePijngqzvMZo+JiTk/tAb8Yt0Y3kF+wi67/g0Py3IJOjLO9wPqLXvPOQ6KZ/bqIq7vR7LL8wJsx4v8co7j7TlvVyZG13lKMsoa9J3a3h4f39O6VnvAXzn4u8TEfD/Q9Sv6XoDvB1iOh+f7kf7TNpy+OdmdJ9339YEchME4QFeOOa4Pwa7P3nFCG8fukVGW3e97t+y98mAYB8UIBgmCoO99zwvw/Ce3d7r30PU1db+PwdjpaREEAVaP//w8+H72xtbPlozuroN2j60Au+O0z4dgOnRHmef5UWytayd0fx+jZ/z4gGG62I6Pabv4XoDrebgdG2bwerD7HfXG1YJg+Lw8b+MhJuYs0y2+VsgmkM7QZihRFPhCZ+PG73178ZTvJiYmJuZ8MhgbubNQOaU7OTn1AT16tVNw/Dyx1192Mr9QvInjGVPMaVFFfEGAyXI6qhTbbdlZyCZIJmQURUJVRPKZw1tjXprOIQhhW2BVkRgtpBEEGBnSkqUbAB4pJOkWrJQkgVLu8HZp3WSSINjfOBot7l4zqcl7WnsmFIl8Ro3OMVpMRf++OJVDkgQUWUSRxbDa/z7P0aWc16Ld9qIYVtvo7SgyP314xb9hz9P7HAlFYmY0iyKLjBRSZFNK1Mr4xvzRqujExJyE3rE51hmTQRBwaSZHolNdUpIELk5mo2NfubJbRSqbVnjlUrlv7s6MpUkmpPB4AS7P7Fa3ujSVp+tplGWRCxPZPXOsvE9rxQsT2ag9rCCE5ypkEyjdlrECjAz57GgxRTmnkUxIJFQJWRIOrPSbSyf6Won3ztWjMDOWJdVTwb/3+WNinhYff2G8M/YFEorI1W7VpVyirzPOUeltsaYlJLKpo3XhOGi9PoxMSiXZM1cG27yN9VRlSieVvmOfNqM98m9Qt+g+Y++zvnS5jCwJBEGAJAlDq+sN+26CIODyVCF6nUoqTI3urYDl+350T2lNJpNUUBUJQaBPRvZeY4/eld09LqUpJLXd729Yt6P97rmU05AkAUkK9aaufJsaTcdViM8gKU3tq6o2P5Hb0y2lO1Zy6QSphEw2pTCSTyLLIpMjaVKaTEIVGSto5NMqo4UUoiiSUEVUSaCcTXCxp4rczfkyiU4lXVHo1xOeFYMyK9eZs5Ik9tkcpbx2phzFMTFngesXipH+nE8rzE1kmBrNhN0mBMhnVEaLSUp5jVxapZRLkFRDPTqXkinlNBKKhCgI5FIq1+cKkY4+uGlsPy5PF6I1q2sTnAVEUejzDQzqVU+i98TEnAUUWezrJvXCpTKiGOq06aTC5al8lLj90qUydOZpQpWYG8/2+Nl258mFiUxfJepuB8+D/GDd6yUTcnRcb0e+SzN50gkJggBJFHj58m4V6OnRDOpT0kGPMqdHC7t6c1KTD+1W+CzkRCx7Yk7CSCEZzWFZFsmlFV66VCabUhGEUG+/NJ2Lus7kMyoJReKlS2USioQiiaiKyORIivFSmrFSsqMnJJAkgZQWdmjUVCn0sQmQy6jIksB4OUkhp6IqMghw8+KubzudVNDU43fYLOX6fYfD/H8xMTHnk/nJXJ/P/2LHb59Lq/0++sJeX1Y5ryEIYRetyZE0CTX0nSU1mRculcilE6hKeO6AINJFhtktN+ZLdHdHTJTSUQeypCYzUUqhJSQQQnlUyCYIgiBaozVVIpvqiUkeEG+Eo6/tuZQaXjf6DpJ7fHzDvpeTcHEqjySFclaSBC5OPd1OZzExZ41h81CSREp5DUUWSWkyxaxGWlOiSuJz41kSPXrMxY78yqRUJElgfjLMQUhqMpIkcGlgHnX9+rm0iqKIJFWJVMfGUFW5r/v21GgaVd71R2TTKglV6snB0IY+R1cuhs/THyMYRBCEPnkVxlsP19MOk2GjHT10YiSFKAokVJlUQmZq5Gz4foY/99lOYZqbyKF2fhtB2O3CclbQVIlcWg1zjgTIp8M50fU/dMcrwOXZInJHry/lNKZGw3GR0iSSCTn6fSZKKSRJJJtSkCWRydEMU6NpClkNWQ7HdjYVron5TGKPv2NqNN1nw4+XkiQ1mcmRTLTeCUK4jh40Hg4b78e112P7PubDTncTR/EIuYHPm89/NNzE8fa9bVa3W6d8NzExMTHnj8lOXpMfgCyJ/ORnr57yHR2fT70cdrNzXB9REPhTn5o/3Rs6AYVsom9vwGE+qP0QglgzPTLvvvsuAC+//PKxPmc7YXVcTZVIaQpBEFBrWYiCgCAIeJ6PIovYrk82pR5omLYMh3uLVRzPJ6lKpJMqxZxKEAikEjJaT0JlrWnxYKWG7wfMjmeZKKcxLZe26ZBJ9TtcB6k1Tf7gu8s02zaiKHJ5Okcuk+DaXHFoMmpLt7Fdv2ME7n1/bbvN7ccVLMclmZCRRBHH9ZFlkQ8e7WBaLsmExPxkgWIuwStXRw+8P9N2aRsOaU1BS8i4rs/SZhNVkfqcKsNYWG+wUdHRDSd03iQULk/nKeY02oaD5Xjk0iqyJOK4Hk09bIO6vNEgrSlcmS0eeP6YDzdvvvkmqqoeWQ5sVQ0W1htAuGmpd8NRL9WmycOVet98rbcs3r2/jeP6XJ0tkE2r3F7Y4e5ijbbhkE2p3JgvcWWmwPJmk526yQuXSnzvzjbLG00My+XmpTKzYxlM2+PBSo1CJsHHX5hAS8j4fsC9pSormy0cz+PjL0xQzIX3d5isWN9ps7TRxLY90imZCxP5yPhzXI/tqsHSZgsEKOc0Lk3nw0S0DvWWhW456IZLJqUe2rLX9cJqWwlFIp08WjJ7L6btsrrVJptSGN0nWTom5qjsJwfWd1rcelxhfjJHMZskIKCQSfSN/ePQMhzsnjXpILzOfG60bNJJhWtzxRM5uj3Pp962UTvBjkEabRvP88llnm3Fjpbh8M69LUzb5dJUnvmpPPWWxYPlelTJR5FFkprM9bkikijwzffXebxWZ248yydfnur7zroySxQFLk8XKGQTLG00WdtpI0sixWyCINi7EcL3fb7y1gorWy0kUaCcS6LIIvNTOXJpNQzUJmQ8z+fuYo2mbuN4HrIoIkkiU52AdTalog7IUs8PqLcsFFkkO/Bdt3Sbu0s1XM9nspze08rRdjyauk1KU9is6AQEzI1n92wOiHm2HFUn8H2fxY0mkiju25ZTNx3WKzoLq3X8IAxiNNoO95eq3HpcYatmAOEGz4+/OEGz7XBvuYpuuhSzGj/9uSvcuLibUFmpGyysN5kop5gcOVg3flrsJ7OCIKy4CWEy2kllYkzMWeS4tsEgtabJl99cZmmjQUZT+OQrE7TaYcc6VRGpNEySqkwuk8BxPDYrBo22TV03ee/BNiAwXkrx0Rtj4eaL8TyXZwvYtsvvfWeZnbpBKa/xhY/OHrrRr9ow2WkYTJTSQ3WA06TWtPboVV27XpFErs0VT2QjxMQ8DZ5UDvT6CFOazLdvbbBVNZgbz+IHAd94dw1FFvmTP3CRlCZTb9lMlJNUGhar26Eue3W2gCgIkT/LtF3uLdYoZBOMFlORH3GilGJuYjdxqdG2eefeFo7rcXm2gGl51JpWpGPfX67huB7XZku882CTB8sNZscyXJ4p8L27WwB89OYYY6XdDaubFZ2F9QaCIES+tqPQ1c2VzvMcJIeauo1zgA8Swqqh95dr1JoWKU3m2lxxjz5+XGzH485iFcN0KWQTXJkpREnsMTFHkQW66fBgpc6797cIAnjp8gizYxnef7TDRkXHtFxkWeLFiyVeujyCYTn83reXWFhrYrsuc+NZirkkmZSMgIjY2cRx69EO23WT6bEMH705TlpT+PatdapNi2xSYX4qx2ghxcpWi+2ajiLLKLLI3HiWhm6zVTNQZZGrs8dbTy3Ho6XbkX8+Jub7nSfVCc4SLd1mvdKmnEv2reX7+ei7cUvDclnfaVFtWmSSKmlN5u5ijUxK4Y0bY3zkxjiuF3B7oUK1YZJJKmxUdXbq4b8/98YMhayGbjrcW6zxeK1OIiHz2TdmIQjYqRsokkg2naDWMgn8gExK5fFqg/VKG9vxmBrNMD2aYX1Hp9IwKOU0Xr06OtQXEQQBD5brVJqh3XV1rnCo3dT9DlRFijbeHeTjexJqTZPtusFoIRUlrcecbT5McuB5oZsOdxer2K7PeDHFhcn+jRZdv2IQBAQECHQ3N4nk0uqeOdmN64ui0OlSFvrRe+dRtWHy+99dpt4y8XyYLKewbI9CNsHl6QK5tMqDlTqe56Eq4UZ31/ORJJFL03mKnY0YD5ZrPF5r0GjblPMJmrpDPp0gn01weTrP47UGLd1BVcQw2T2jHckmqbcs/ODw2FIQBDxYqVNpmCQUietzxX11Mt10MG0P03IwbX9oQahKI4xTB0HAhcncvoWnnhVHfe6zQku32awaFLOJPXbvWZAFfmdtshyPSsOk3rJIqDLJhNTp9uczO55lspzm1qMdqk2LN66OYHvwR++sUGta5NIJPv+xWXIplUrd4O372yxvNLBdn4uTeV6+UkaWJWzbQ5JFPM/H9+nExJRoE1J3nrcNB8MKuw0nVImxQhLbDbAcl3wmwfxkLtrk0R0PjhPGVgAyKaWTuyT0zUUAw3K5u1jFcjxGC0kuTh1c0HFYXkZMzNPkLMgBgN/6xmP+u3/9Nh97YZz/61/+5KneyzD+7//0j3nz9iY/8ZlL/Bd/OtafYj5cnBU5EPPh5bf++BH//b97B8+Dm/N5/h//x8+d9i0dm4crFf7OP/0mLcNlopziv/35T5M5QvODs0Z3b0AyIe8phnzU/Qaxd/05oCoSpR6jXBCEPqPiOCysNaJ2OIblcWk6tW9w5eFqPWqJubjepJzX0AY2euzHW3e2aOkOLd2hodtkUwqiKLK+02ZmbG/y2UHBVaezwSKdVNio6FQbFglVQjddPN+PAqrVpk0+Y1LIJljZbB1YmV9T5T7ngiyLhxpjEAZ6N3Z0PN9neatFUpWZHZd5uFrnIzmNdFLp+z4VWaKUC3+78hncnRxztvH8gEdr9ail7qPVBqWcNtT59Gi1sTtfN8L5+nitgapIqIrE6nabV4pJNisGnhc6Lestm/FSiserDV69NgrAncdV1nfaNNo2hu3yaLWG7/lhlZVOYsXSZpOrs0W2agb1lh3N30bbiTZxHCQrbMdjcT10mCiKRBAIfQ4qRZZomZ2WVwHs1E1KOa3vmHwmcazAgzxQyfu4aKp8oEyJiXkaTJQzTJSfXrJ0JqnAERMotqo6jU6SdNtwWNtu9SVoHZXBqvmD5NLPR2FeWGsgSyKZpMpm1WCkmOLxWgPX86m1LDYreliBzoSVrRYJRUKWRK7MhBste/WVXpnleQGPVutcv1BkrdOKz3V9WobDy0O6dzxcrbOyGVb/WN1q0zYcXrkyylbVYGo0E21yW6/oNHUb3w94tNKgnNco55Osbrf56M3xoc8oift3RXu81sDt6Htr223Kea2vyrCqSNGmwMHAVszZQxRF5icPXoNSmkK1YZJOhnPs8XqTck7j/ko91MkNB1EQMC2fb7y3zhc+Mse7D3YQhTBx8XffXOrbxFHKJynts3H0WbGfzBIEoa/qVkxMzC7fvbOJbjiUc0mCIODxSpPRYgqB0IafKKURRYFbjyuM5JO0TQfdCjcn205AKiHRbNtYjs+PfvJidN73HlXYqYebvyp1kw8eVXjj+tiB91Ic0NfPEoMypNWx6yH0NyysN3ihRwbGxJwnen2EC2sNZFFkspym2bb54HElspu/9f4aP/2Fa5TzSXTTYXVrV5d9vNbg5csjkT8rk1R5vTPn33+4E/kR13d0SvlklHD4eK0e+RzuPK6S7HT7NUyXla1WNK/Wd9oIiFyZKRAEAd+7txV1yVlYbzJSCCu6up7P4/UGBGFCUdfXdhih/RI+Tzinm1EHkWEcJTlyu2ZQa1oA6KbL6nab+SfUm1e2WhimC4Sby3bq5rE7hcZ8f5PSFO4uVOgWnH/3/jYXp/NMlsNkYxBwXZ/NqoFuurxzb5t6yyafUVnbcQgIO/XcX6pzeboAosDdpRoNw0FVJLaqBvcWa5QLGglFZqIU+vUKGS0s0qLKKHL4N8cNCzhsdzaL247P4nqzr0vHYSQUicRztjliYmKeD5mUypUh6+1+Pvpu3HK7ZvBwpUEpr2E5HovrDcaKYeXu2wtVLkzkSGoKhumiqTLLmy0erNQZLSRp6Q5v3dni8x+dZXGjieV4UVEK2w6TO3tjkyktfO/uYpW26YTFLwLIJG3WdjYYK6TIJFVsx6fSMIcW16o0zKg6sWG5rGy2uHxINfVh38FBPr4noZDVKJwwlhwTc15YWGtiO6FytFHRKeW1Pn3/ML/i4Jzsjet3GS/1J2e/eTv0xdSbNpbj4Xk+aU2hnE+yUdFZ2WohSyKCIGLaLiAgiUIYW1hpULyhUW+F9oBAaM80dRtREHBcH1WReOf+VuS3tR0f1w2OvKn8qLHTatOiUg9lmGV7LG+2uDJbGHpsSlM68YX9ZUo3oR3C+EQ5p+27af5ZcN42q2VS6pkrgtKLKIaxe8NyWVwPC0y12jb3l/Sw65Yo0mjZzI5lefnKaPS5u4tV6i0bQRBo6jbv3N3ih16bxrQ9Ugk57BCuiJiOx+O1Jh+9OX7oppvF9XCeK3KY7zBaTJJKKLz/qNIphCbT0sP4R5d8JoHvB7x5e4MgCAvQffd2lcvTeYKAaC52WdpoYtkeEBbYLGa1A2XH3ryM5JnvABMTcxK668Sz0FWfBj/+6Uu8eXuT3/3WIn/+SzcO7bgbExMTE7PLv/nyPTQ1lJuLGzpfe2uJT78+e8p3dTz+xX+4gyCKZNMqbdPlX//BHf7Sj52/jU+DewNOQqyJnjP8gcYpBzZSGXjrOD1XvI6R3v1I12g/Wd+WIDpRQIDfc47uebvvd59v8DmfFt3TBkHntoL+v8fEPFWCoG8eHjRf+94Ldsfo4On8gb95fv988fG7pwhf+wEB/WN8d9z3n+yo827wqGEfG/zbs5rTMTExIXv1g1O6kWdEEASRzBq2dh8kl4a9N/j97CufB2R471FBj0DeK0/33vdx2Ht/xz5FzDmk73fu6qo++L26dBDg+xB01vvo8EEFISYm5lzg909l3J657Pv9i1m4poQvAj/6MwG79vvuZ/tP7HkDFzrnHMUeiYk5j/QOZT/o/4t3kPvvGJOg99igRzQEA+/1yqBBW6P3da/rYtCPcdTbGjzsafgP9sqJJz+nPyBr4+bWMSdhUG0P/AB/0NbsrPvekDjAoD07uOb7gb/HNujOqT12657PxmM6JibmyenVKXz26jd9+saAUPMG4oXROQ8QT37XTur56KAc3NftF/vfYmJOnYBB/eTZT0Q/6I+jdv8Vya5ee2fALtvPNgoG8igG/T3PQs86aYz3aCffa1PFnE/6fACDr4eMGW/Qp+jvzpfeZbubAnGUYdc3NgftGfre6r/3nr8FA+c5yE8R3t/BN7Y3LyMe8TEfTiqdAicnLTL9rHn92hjTo2l00+X3v7N02rcTExMTc64Y1H/cQSPkHDDo/z6Hj/DUiDdxnBEsJ2znOZh8McjceBZRDHehjxSS++7wb+k2Y8Uk3Q3rkyNpVEViu9bmu3c2qbXMA6/z2rURVDVsiTxaSDJRTqElJCbKx2ud6Xaq72TT4c6vsWKK8VKKcl4jnZQp5TSyGZVcRqWY05gdz6LIItOjB1cy77ZH7VYTPCq5tEopryFLImOlFJmUjOW4XDhBtfKYmMOQJJHZ8U51KAHmJnL7VqO4MJFDEMJFNp9R8f2AuYlsNIfHyymSCZk3ro8hiQKqIjFa0MikwkqZuhlW4J8oZ8ikFLJphYQqMT+ZZ2o0zdRIWGlGlkVmxsL5NVpIRpU6E4rE5Ega1/VZ225Ra+4vIwI/IJdWCYIAQYALk1lM242q0APMjGWQOxUrchn1zBqGB2F35XIn6c20w2qk3e86JmaQYWPEcXfXq42KznZNfybXHiumSGlhRc2EKjExcrqtf9uGQ9twTvz5mbFMpO+UO9W35jpyMpdWmOroNaoSVioeK6aitnRaQmK8tKuvdOVbtWHQ1G0uTGZD/aZTNVcUBcZLKZp6+Ds1dbtTYQvmJ/PRcSPFJJemQn0h1It2uxWNl8Lri6LA9FiaYjYBQle2H7/192yPvjdaTO7bde2o+L7P+k47qsoec7oM0/ttx6Oc1zAsB910mO+MtUvTebJJhUxSJpWQURWR166NkFQV5sYzaKqEKot85vVpTKt/LY55Ptgd2d/SY/0g5vh07W6AsVKKj94cJwgCKg2Di5M5PN+nZdjk0iq+75FLK6STMvNTWZIJmcAPKOeT/MDLk33nfeFiiYQqYTseKU1mbiKD43qn8YjPhGwqtOshXMe79k1MzHmh10boZaKcQhIFdNOhlEvw2tWwGqYgwBvXRrEdj0bbJqFIfbrs3HgusskH/YrD9OoucxO7OufVmQLlTneNQb/cWDFFUuvq2jKvXhnFtF1M22VuPIvUOYfS42/o6sK9BEFAS7fRzX47IZNUKOXDCqGu5zM3vrcD8H54fkBTDyvo9jKS1yIdumszHMRWVWererCtNj2aiSpzZlJK9H0Nsl3T2ag8G7sv5vzSnfcvXynjej6243FlJh92hdZkMkmZgICUJjM/lSOTUnn58giphIwgCMyOZRkphNVh5ydziKKAIMD8ZI50UsEPAop5jcszRWbGs0N9cpMjafzAZ6duoChhV+vuehoQdr46rq89JubDRHedPWwD9LC17DzSXUO7PrCTsl3TSagSYqcbxfxkjoQqo6kSL14sAwEIMD+RJalKSKJAuSN7JstpLna6Z6uqxGvXwi65M2MZJCnULwrZBPnMrv6im2G30i4zY6FtlEsrSKJAKiExM5bBsMJjcmmVUk4b6osp5XZ1I0UWmRo93J8a+15iYp6ur3l2PBvN91JOe+JO4F4nf8B2hvtAbMfj6kwBWRTJpVTSSZmRTrfClBbGDK7NFaHj0p+fzEUdz4UeGyeXVinmEp1uDApzEzkyKYWRvIaqiLx8pYyWCP09yYS8pxtIL0ZHrrQNh5ZuHzmZvJgNu3dXGga25x3JN3JQPsrcRDZ67pmxDPJz7MIBe+V7zNEZjMfpps3KVgvTdqNxrVsOhuWQTEhsVtoYlrObw9DD5ZliZCMkVIkXLpZptG2K2USUN6QqIsVsoi9vaRjd8TY9uruuX50tkO3Y6tcvFEl14mzdPIheJDG0gyDMb3j58giCIOD5PuW81qezzYxlozFbyCYO7QzezcsAmBpNH7lTTkzMeaPa6HbiOJvdjkRR4D/5wUsA/PofPop17JiYmJhj8KWPXyDwAxzXY2okxec/cuG0b+nY/OwXryIKYJgOqaTMz3zh+mnf0qkhH35IzLOm1rS4t1QlCEJD/ubF0r6GcT6T4PXrY/h+sG9Lv/vLtagt2uRIismR0NC+u1jhf/wPt3BcH02V+D/89CtMjQw36EcKKf7MZ69guy7JhILr+Z3WoUdPRLRdn9/+xmNqTQsE+NjNMT5yYwyAR6t1ljaaeH7AzEiaz70xQyal4vkBkigeaPCZlssHjyu4ro8kCdycLx2rrdqVmQLOhM/CWoOtTjLtkzqqY2L2Y3IkzWgxiQAHtp0dKSTJp1VuL1Sot2zeebDN5ek8b9wY75vvCVXi8myR+UkfVRF4vNbg0UqDdx9sc2U6jx/A1EiGFy+VuTCeQxDD9sEAjuv1zS9JEnnhYima354X8DvfWgwdrwJ8/IWJ0FnZw3bN4OFqHQJIJRVuzBVpGg7v3t8mCCClydy8WCalKbx2dRTP96PrnyfqLYt7SzV8PyChSsxNZPndby1i2R6yLPLFj84yWjzepraYDzcN3ea3/vhx3xjJpFRuPargej63HlcI/ABZFrl+ocjHXph4qteXJZEXL5VPtF4/bRbWGlHS0ng5daKNksP0nVJOI98jEwdl2kuX93/++0s1NqpGdJ5yPsnFqTwzY1kaLYuHq3U8L2CrpjNSDJPnrswUKOU0vvTJeXTTRpVlBFEYqoMpstR3fc8PDpX7B1HIHq7vHRXf9/nyd5ZZ32kD8OrVkb722DHPl3rL4u5iv95vWC53FqpsVnWqdRNRhK2ageN6pJMyL1waYaqcxg883r63zdJGi41tnZ/9kavkUhqKKqEboe5AAOmkws350oH6dMzTQTdtfvPrC+iWiyQJfP4js0wckiQaE9NLr92d0lR83+fd+1tsVgzuLtYoZlTWKzq266PIIqMFjSCAatOmlEtQyCS4NFtAGQg01po2s+MZdNNBN1wW1losb7aPbTufZbp2vSQKsbyLOVcYlhvZCHLHJu9uDva8sIubqki4vs8bN8Z57foYImA6Pu/c345s1BculpkZCxMmGi0rssmTmswL86VIDz3Ij1jMabyeSfS9N6hjQ2hrvNRjayxuNFFliYAA0+5PjpoazTBWSu3RhYMg4N5SLfQREiYIdddM3w9wnFDOiaKwZ0PGfriezwePdjAtD0GAa3NF8pkwKC117CPH9Q61j77+zioPV+oAXJkt8MmXJocepyVkXj3Ez/HtD9a5s1CNnvEzr88c6VliPtyYlssHnXnfaNtcmMwhiyLZdILv3Nrg4UqdwA+YGcvysZvjUdGmfCbBT37uMqbtslk1WN/WCQiYKKfJZ1TeurPJnUUdSRC4caHI69fGIp1gmE+u3rJ5uFLHcX3ahs3VmQJXZgo0izZ3FqusbLbY2NH75FJMzPcLjbbN3cVq3zo7zB/zYLnGTif2NjWaZmbs6BsPzxKe5/PB4wqG6SIIoW5dzB2/CFPvujczluEHX51GEgWausVX3lqh1rSQRJHXr46iqhK3u8eOZ3h9YgxRFDobWEO/mxxtllR5/drYHjm2tNFkbTv0b40UklyazpNJKlyeyWO7HkEQcPtxFUEUEAW4MV/ixnxpqC9GlkK94+bF0lD9ZxhbVYNHa2FsJJtSuX6hGNsiMd93PG1fc3af+X4SHNfjg4cVLMdDFAWuXyj2bWLvlfXXLhQRhYB3H+7QMhxKuSQvXx6JNq+XcxoBRPka4wM2jiAIXJ0tMj8Zyg/P9/v+L4oCL18eOTRes1nRebzWoNIw0U2H6dEMpbzG1dni0ON7sV2P+8tV6i2L7ZrBhfHcgT6fatPk/lJtqN0I4eb9wed+XvTK99FiGLuJORp98bhSWHzsy99ZxPMCkgmJH/3EBWzHY31H57u3NmibLrIEr1wZZXIkE9nQXVRZ5E/9wMWwWF0gcGexiuP6iGJoc9yYD8emIAgHjpPB8fbK5REQwlia5weRH6L338MYzLOoNU3uLtbYqhrUWxYvXiqjyBKZpMJr146elzBSSFLMJk5lvMfEPE8qnU0cJ9H1nxdf/Ngs//Nv3mJlq8UfvbPKp1+bPu1biomJiTkfSJBJSviBREpTcBwHRTlfMeCljQa6aeMHAYbhsl1r9xXy+H7iuWukN27c4ObNm0f674UXXnjet3cqrFfaUdtAw3Kpt6wDj5dEYV9DxnK8aAMHwEbFiAyPr35vJaqmZdoef/T26oHXkWWRlKYiCAKKLB07IXRtqxUFZwng3lIdSRKRJJF7S3VAQBJFGm2H7bqFKIoosnS4o7Rm4HaeI0y4PEmlj4BKw0QSRSRRjJxNMTHPArkz7g9Dt1wMq5OsEMDqdnvPfF/faSOLAglV4tFaM6pKYloe7z7Yjo6rNS1UVepzVAybX73ze6Oq71bOCeDWo8qee1zbaUe9Sw3TxbA91nd2ZZhuujQ6MkwUhXO5gQNgo6JHO/0t2+N7dzexOskprutHwamYmC4Pl2t7xshWVcf1fEzbZX2nTdsKNwzeXXw24+ek6/XTxPODvqqzGzv6oV3G9mOYvtP7t0GZtt/z15omK1stREFAFEKncxdFFtmsGgRBKIPrLRvDcCAgChoApDQVWRYP1MF6r39UuX/c5z8J1abVp+fciuXXqdK7ZhqWS61psbETrjnVholhu9TbDhs7Oo7js7rdRhQEHM/n7lIDxw0/bHs+b9/fIZdRSapSOF47520bDs24K8Rz4cFyHb0j2z0v4M7CXt0pJuYwunY3wE7dZLtmhs4qy+XOUi2sWte2cRyfxfUW23WLthlW2PN9qDdCOdJLKDtELNun1rJxXA/PCz50leG7Cd8xMeeJro0A4SaEXp/WZlXHD0IfgusGbNcNNFVGVWU2Ku0+G7XaNFE6+un6jr6rX5gu9Xa/HnCQXjn43n5+ua6uGwShjh8mXYpsVvQ9FcuH6cJdvafLao+u3TZD3UWWRERBOLKPrtqwMDs+lCBgqIw7zD6ybTfawAHh5m/3gE4EB/k5fN/vszUW15txJ88YoOPL7syTraqObjgkVInljSarW+HcDggTC2sDcQFRFNFUhc2qEc27rarBVtWg0rAgCO3wWtOO9NLwc3vH6p2FCr4Pkihi2j4POmO/1rIi+TIol2Jivl/Ys8429napth0v2sAB/X6j80a9bWOYocwIAljfOZmd0OvjXN5s4bguoihQbVo0WuEaKAgC95ZqVBu78m1tux3pMbDrd+tlmBzr1RG2O8UvINxcIQoCpu2xUdUxLRdBECI5N8wX08tR4pLR9Tvnaep2XDE+5vuSZ+FrflqxxErDijaE+36wx1fSK+vDwltVhE6uQr1lsd3TWUSSxL7E7v38/V35Mfh/OFq8Zq3zXVYbJrrpYjpex845vPjk4nqTlu4giSIgcOvxzoHHbwzYjYN6J+x97udBEATR9wChTI+7wx2NPfG4is6tRzt4XvhDG5bHB4/C4pGPVmvYro9uudgdf8Otx/v7slOaSq1tRb+F74c5OYoc5h4cNk4Gx1tDt6N53uuHOEocrHf+9epituP3vT6uLDmN8R4T87zZ7cRxdjdxpDSFn/jMZQD+l9+5E3fjiImJiTki33x/A1lRUFWFrZrJW3e3D//QGeN3vrWMKEoosozlePzq1x6e9i2dGs+9pNJf/at/9VSTC88i6oAx8STGgtRppd41inqNnrTW/3NnUs/2508NXE9T5Z5/9z9zMnF0g2pv9evjf19ipwpGVwF8GkmSMTFPyuA4VIeMS0WSMAmdkKoiYprhMaIIirw7x04yplMDVfa0IfNSkUV6Q7mytNe5MlgJ+Dwy+Ezpgeo1w76bmO9vkmr/GEn0bKKSxTAZqbu8f5jb8ooCSJIQOYklKax8d5qoitynGw3qIN35LkddioS+v593EorU9/yJD/H4Ow8MBhEUWURRugGLUD+VAggkAUEQIjtBlkQ0VaYp7CYCZrT91/0Py/g96wy2eO+1d2JiTkIiIYMQBvoFIVyzREFAEMP/FEGKKsZ2bVpJFvckPCmyiGV7SJKIIBAlEMSyISbm9BmmC3QZ9AcqUn9Rhv0+9zz1AEHobDLpJKRL0tG64SiyuK+/UpZEEIiSInuf+7BzHvT6KMgdGdrduCHLIuIJvz5RFEkoUrS5X5IEZDnWDWL6x6bUk4AkyyKqIqB38o5kSdwTJ4BwHZfF3XknigKqEuoEVsdHOMw/N8hgd41urCC2JWJiDl5nu3Q7wH0YYkp7/fknexZ1n3UvoUh9a3tS6/fNDZN1R0GWxCiZtGsTwe7zdPWNrm7S9QEe5fc9CoosYnRznoXzPQZiYk5KMnF2fc2HybZBWZDSZJr67mas4+QqPC16/Tde4EV5HkcpEHVcv+Sg7+isxKkEQUDZI9/jXKKjMCwel9yTD6TQNl0ScsfH2Pl7QpH3xMoGGbTNj5PDtNdX+XTGW2y7xMQcHd8PqHY2LxezZ3cTB8BPfPoSv/rVByysN/nj99b4wVemTvuWYmJiYs48miKhG+Hmb0GAwkCHtfNAWuvXEQvp8/cMT4vnHkn6a3/trz3vS545bNsNK7MJAtcvlJgdz+J6PoblMlpI9rUtdFyPrVrYTWO0kDx0A4wsiVyZLbC80UIQIJ1UWNtuM1JI8hOfucpmxWC90mZ+IsePfGzuqT3Tds3AdjzKhWTksBktpnj12igPlmskEzKffGkiOv4TL43zh297tAyXy9N5JkcyR77WeCmFYbk02jaBH7C+3UY3Ha7MDG8tutBpQzo1mmG8lAJCh/uVmQJLm01EQeDCZK7vM/WWRdtwyKbVvlarZwnb8diuH31sxJx9UprChckcG5U2qiwxP6Rd7MXpHI9WGjiexw+8PMnjtSar222K2QQvXxphbaeNKO4d08MwLZelzRZL6w1kWaSc15ifzLFR1REFuDiZo6nb0Rxo6jaaItESw+QEVRbZqOhhgroYOmDGSykyyeO35/L9gO2agev7jBZSx3a6BEHAVrX7+eSJnUHdeaWpEvmMiml7lPMaUyNpPC9graJTzCZ45erYic4f8+Hl6lyetZ0Wj9YajBWTvHptDFkUMO1wvfrUKxM8Wm0gigKvXBlhdatFLpM40Xw5qzR1m2bbZqKUptI0EYC5idyx1ifTdqnUTVRFYqSQPNF9eD2VQ1VFwrRcXrs2yv2lOrIkcGO+xOpWi5Qmo1suSU0m56kkVIkbmkxTtwkImO/IUd10qDUtkgn5SO1me68/WkxFVQVPi0xK5RMvTfDegx1UReITL04c/qGYZ8bseJZKw6DespmfzKEqUhhsEQXmp3IYposohoG6asOklNMQxVD/feXyCL/3nUWWNluU8wnmJ/PYjoeqhDrDW3c2Q514tkgQ0BnnCoVsv7FbbZi0DAfP89ESMqOF5BN3jgG4v1SlqTtcms7vacN+XgmCIKqcPJJP7gluXpktslM3WdluU8wkeP3a6CndacyHgSAIsCyPS9M5VrfaTI5kyKVkVrd1kkkZVRYpZjR00yGpSXgpn3xGZX4iiyTArcc7FLMao8UU5ZzG3aUqBAEzY1mSCZlsSj2S3e24Plu1UMcfKSTjwHlMzFNmvJRiu26wVdEZLYXztVvJdrycxnI82oZDIZsgpcm8fW8LRRa5NJVnp25Qb1rMTmT7gq8XJrN4vo9pe4wVQ3t6datFQpUo55N9Prtu9y8tIR9Yha9bZdP3A0aLyShZQxAErs4VWFhrEAAXBvR91/PZqhoIAowVUz2byCQuTedZ3WojSUKka0OYfDQ1kubeUhVNUZifyh7puyxkE0yPZdiuGSQTMrPj/Z9rGw71ljVUH+oiiiKffm2a79zaQBTgozfHo4TQk/Dp16b59gfr+AG8cX1saHGOmO8/Qrs/TJ5IaSIt3UYUBV67Nopuutx+XKGl2xSzCZpti7WddscXlYnmUO+8mxvPkk4q6JbLo5U6yYTEC5fKpDoFSLp+7VxaJdPx6emmw1ghyUZFx3F9pkbSXJktYtourud3qtsK5NIqY8XUsZ/R8wO2qmEV4KdlXxxE7BePedrMjGVwXA/ddCnltKH+H0kSw5jSRvPI/vezwmC8K5tSmR3PslnV0VSJCxPD117Tcqk0zEinGNQPPvP6DN/+YB3PD/rWvYlymlevjPBguU4qqfCplyZxPZ/lzRaiKHBxqv+76/oDE6pEMiHv64e7OldkYa2BHwTMjWcjn9v0WAa78/t95rVpNioGQeBzZSbPncUKSVUhk1RwPH9PDPYwuvdmWh6aKmFYobycKKdJJuQ939F+nBW5dZifIybmMFJa6Gt+/0EFRRGfu685ypsQRUaLu3NJNx1MyyWlyZ3O4AEiofzrzvlBWX/jYonf+cYCLcPmlasjjBQO1oG61/b9AEEAVZYZKWhRh5/DbKxhXJzM8dbdLbJpGdeVcF2fa3PFI8VIZ8ezXJ4pcHuhQimr8dGbE7R0m0bbJp1U9si6CxNZPC+0G0eLyWeW/9Bo27R0+1g5FldnCzzu0XVPO6ZyXhAEgauzRRbWGwBMj2ZoGQ5r2208P2B6NMOLl0ZY225x42IR0/HJpGREUWBmLMMnX5qMzrVTN1hcb5LPJHA9j7fvbTM1kqKUT7G21aKU15gaPXo+z4WJLL4fdhoeLSbJpfvHQjfuNmzeHGRbTI9msB2ftulQzCYOXHtjYr7faep2Z01kX7/YWSGTUvnxT1/if/mdu/yL37jFJ16ciDvlxMTEPFPOWk7PSfhzP3KFf/A/v4Vt+3zm9SmuXSid9i0dm//qf/cK/5f/zzdo6DazYxn+85946bRv6dSIy4GdAr/9rcWoXe/qVosvfXKea3N7NyB4fsAHDytR68+24XBxSFL3IMWsRjGrcW+pylY1FDjbNYOpkTSfermzY1UA0/bJPIURsLjeiNotr1d0Xr48EjkXXr48wsuXR/Z8JqWp/Ogn5k90PUEQuDiVp6Hb/MYfPYqq5bV0h9eu9SdW31+q8o331gH44NEOP/qJC4x2AlGFbGKoslptmtxbrHUuBjculPYYlqeN5/ncenT8sRFz9hkvpaLNRsPQVJmbF3cX3olyv8NkpHg0Z4XteLx5Z5M3b22wvNkiCALymQSfeHGCyXIKURSptWxq7Qo3Ogv97YUKBOAHAb7j0tJ93r63RTqpMDWSYWYsc2JnyaPVetTydKtq8PLlkWMljD1c6f/8S5dHjq1keZ7PB492sJ1QpoyVUlzvUXI+Fe/4jzkA3fJIJxVevFgGoKXblHIaF6fyBEHA+w93uD4n02hbfPCwwvRYBmGrxQsXy6Q/BBs5mrodtl7uVOC6Olc4dlUPx/X44GElqi5qWO6eRKyjcHuhSttwaOo29ZbFzFgWBPjix2bRTZfHaw0832dpo8nUSAZVkRgrpbg8k+fd+zukk+Gav1nVGckn+eBRJaqyODeRZaKcPtL1AWotK5Khp8mVmeK+m11jni87dQPfh2xKZbNmsFnVOy3vwyTIyZFwfFUaJveXakBYOeHSdB7PD7gyWySbSVBvWjxarVNtmrx8eYTNio4oCGSSKiubTVY3m1EC4qXpfLQpaqOis7DWYHmziWF5XJjIslM3efFS+Yme6zu31rn9uArAvcUaP/bpeVLa2dKfT8LCepPNTkv6zY6dM5iQ9omeYFdMzJOwuNFkY0dHFiXGS2lkSWCzapBNq5SVJJs7OpWmhWG5qLLIWCnFzGiGzarBwnoTy/Yo5TQySQVVldiumbiez/xEjnRS4fJM4dB78P2ADx7tRNV0m7p9pM/FxMQcnaZuY1gumZSKYbl89+5WVAmzV3d0XZ9//0cPaXUqw95frDExkiaTUqm3wnN0K68qshTZro7r8e79nUinfrBcj669tNEEiBKdDtJt7y/XIt/ldt3gxYvlyEbPplReGuLrC4KA248r6GZY/anRtvv8neV8cqjPoLvxI6119XCDCxNHs5GmRzNMD0kkaRsOHzzaiSoEX57J7+uv2O8cJ2GinObHP335qZwr5sOBYbncXqhSb9k8WK7T0m0CIRwrI5sar10dQ1MlFtebrGw2+db76xSyCdKawitXR6K5PWzevXixHPkgulQbJvc6dgQC3JwvochiZNeOF1PR3Hdcjw8eVSLf+mgxfSIbHODeYpVGO+wa+DTsi4OI/eIxzwJZErk6e7jfZL+Y0llmv3jX5Eg68kEMI5IRPX463XT79IOXLpX5sR+6tOezgiDw8pVRXr7SX+hg2OaYXn9gdzNrN5lzfjLHWE+sJJNUhsqXwd/Pcjzee7DNw9UGjZbNSCHJZDnNS5fLx9pk5rg+HzyqUKkbrO/oFHMaY8Uk1y+EG+dsx+P9RztRBXTL9oYmuJ4lufV4rRHFjbcqxrG/k5gYOD1fs+cHfPCossdnYdpunw+/nNfYaZis7eis7ehcmS1Qyml7ZMXSRjPSfQJfwHG9fQvEda+tmw6P1xqkNYWJcppay6Teso8VP+hloxpu7rLtAMNyGCkkWd9pM5I/vKiGabkoshjpg6vbLSoNczdGM1vok7u9duOzota0uLsY+oiPk2OR2cfGjDmcXFrl5csjURxSN12mRjIUsgmuzRXxPJ/NisFIPs3n30hSa1mRbdzd5FRvWfz2NxfwvIBKw+DuYo2UpuD7PldmC7xxfRzb8ak1zSPnASiyNDT/CcKxe1Dc7d5SlUZruG0hdQraxsTEHE6lEebO5NLqueha81OfvcJv/vFjVrZa/MYfPeInPhP712JiYp4dfTk9TYsb86ef03Nc/uVv38dxAwRR4JsfbPLjWw1mRs9PwRGAtx9UKeaSFHNJRAHuLla4Nnf+founwamv1IuLi/z1v/7X+aEf+iFeeuklPv3pT/M3/sbfYHFx8bRv7ZnQ6+SEMNnY9/2hx5qWGzn1gL7PHYV6x7iB0MHa3UEGQAD1tj3kU8en9zqu66ObzgFHPz02d9pRkAlgbVvfc8zKViv6dxDA6nb70PM2ep6HIDRgzxqG7T3R2IiJaRsOjZZFQw/Hu2m7WI7LTsOk0rCitrXdOVBvWZHjz3V9duomuukSBNDutOd6knFY65lnlu1h2u6xPt8rhyzbwzrm5yGUk90NHAD1eF7FHINGy4oShKB/PjiuHyUytQyHdmedDAKiJIfzTq25KyOgf04elbbhRoHh8BzHn4Ou50fGVttw0E0XPwgivacrayzHw3Z2f5d606KlOwPXt2nouwGYo9yT4+5eH0KdIugdGDHf9/Sud23djhIzoV9u9I61rqzoflbXd8e47fjoltt33kbbxrB69MRW/3n9IOis4WElrLbh7K77J2StR8e2XY/NqnHA0eeHXl3AdsLOiTExz4pBGWDZHrrhQACVukHbdNANB8fxaOrhvK23bGotM0pgaJsOm9Ww4r7teGHFO9s98rps2m50LuiXHzExMU+H2oBtvV3d9WX16o7NAT1hcbMZ/dv3A5r72BEto1+n7Xb56J6zq//CwTZ8ry5imC626+17bJdeuweOLkN00+3TRZ6Gj6vRtvvss2ps38ecEo12aFO2TQfTdml21najU3nWtN1ovjUNB8vxov+2O8VKjkPfvOv49Jptp8+u7R7TNtw+3/pJ133fD/p8G+0BOfS0if3iMTHHo37CeNcwP9mgftA7F09Kr+5imC5Nffd+TyqXWrqN5wV9PkLL8TDs492vbjq4rk+rcx7dcPr8uWGX073ydZBBuXWaMcdemXmS7yQm5jSxBnwWXfnW0vt1ndXt1kCsYvic6/17GFfY3+/XvbZle33yZXW7PVTPOipd32PbdHC9ANvxMC3vSPK1OfjcW/3PfRo+nfoQXTTm+bCfPd67BlmONxArCOfQ+rYerWebNSM63vWCvtyak8T9hjE4dmt9sZCgL1cnjF3Ea1VMzEmoNsK5ddwuUadFOqnwn/2JmwD8y9++E68hMTExz4zenCLY9d+eN/ryMxyPd+5uneLdnIw7C7Xo334Atx5VTu9mTplT3cTx4MEDfvqnf5rf+q3f4oUXXuAnf/InuXnzJv/xP/5HfvZnf5YHDx6c5u09EzRVJNVTcTufUaMquYMkVKmvRdhxK3Wntd3jFVncUyGo9/0nofe+RFGIKgE+a4o5jd6Ow6Xc3gpIpYFqAN0qxAcx+D1nzmCFdO0Jx0ZMTDIhk9Rk0p35qioSiiSRS6lkkgpyz278TFLpmweSLJJNKWiq1DlX+P8nGYe955dlkcQx23ink7ty5ySfB0ioMpK0K1TieRVzHA5aO2Rpd0wmE3I0d4Z97rySSfU/x0l0jKQm91WXOsl3I0siCXX3u1ZVCbGjLPTKMlWWEEUh+i3SSWXo9dOaAj26xmH3JEtCdH2AlCZHlY5jYqB/biRUKVpDoX8eDc6hdM/4TXQ+oyXCdUtT5T6Zk0zIqD3rYO976aSCKAionXGaUKWOzfFk47S3ApckCcfuxHNW6Z3zkiSQUONGljHPjsG5qioSWmfM5dIJEmr4WpZFUpqMJIpkUgqZpIqihLq7psrksyqqIiFJAoIACUU68rqcUKQ9dkBMTMzTpc+2FgVymV1fVq/umE6pfXrlaK8/S6DPt9hLMtGv0xZ7fGXHsUV631MVEXWfirS99No9cHSbIJmQntgOGOQ8+PZivj9IJ0ObUlNlVFkiqUrQsz4nFCkar8mEjCyKqLKILIkn6gydSfZ/Jp1UQp9Zr13bmZuDNvBJ54koCiS1XT15MKbxtEl09Jwug/6ImJiYfgbn9lHn+lA/2Qn0g0Ov06O7JBISWk988aRyKaUpCB3ZC7vxtF496Dj31o15JtT+OEgqIffFKPfTYQbl1mn6g3uvfZLvJCbmNBn0WXTjgqEdtXtcOdefC7DfnNuT36Dt7/dTlVCOqIqEIAiRrCrntKF61lHp3oOmhjaRIksocqgPHv7Zfh1vJH+0536WDOplsR32/NjPHu/NKVHlfh9hd4yUC4loDhWzWjT+JEmg2OOzeFq/5+DY7T2vIAiknqNtERPzYabbiaN4jjoJ/sgnLnBxKkfbcPj//up7p307MTExH1J6c4pgr//jvFDoyceQRPGZd917FsyM9XcxnJ86X51EnianmoXyD//hP6RQKPAv/sW/YGJiIvr7+vo6f/Ev/kV++Zd/mX/0j/7RKd7h00cURX7443O8d38bURR45cr+rcVlSeTGfJGNio4siUwd0Nq4l5bhsLrVQhTDjQ2CIOB4PvWWRTGXiIJAR237vLrdotG28TwfSRJJqjIz41mkjgCbn8yhKiKW4+G6AQ9X6xSzGuOlFNWGyWZVR1UkZseze4ysIAh38Dd1m3w6cWD7Zt8PWNpsYlgu6zs6lu0ykk+GSW0phVeu7G2z+fLlEURBoNowmR7LMD2klfEgI4UkQQAtwyaXVinmNOoti/WdNrIkMjeR3bedKsBO3WCrZqCpMrNjmT2tiIMgYHmzRdt0KGQSx2qr2uWkYyPm7FNtmmxW9p8zg6zvtKm1LNKawsxYBkEQ2KzqbFZ0Hq7UUVSRq9MFrgy0g9cSMpem8zTbNqmkwngxyVgpRSalIhBW7MimVUo5LWq3e3kmT6Ntk04qGKbL199ZJQgCLs/kmShnyKYU7i5WqTVNVFnCtF3ymQSjxdShG6hmx7Ns17ZwXI8XLx2/hfflmQJr221cz2einD5RC3BFFrk5X9qdV0eQFzExXfKZBFdmC9Q783GslIreE0WB6/NF1nd0xsupsD2241HIJI6VlOG4HovrzWic5zPD13HDclnebBIEMDOWIfWUNm32Xn9yJEMurWLaLssbLfwgYGIkjef5pJMKo8WjtVTuJaFITJRS3FuukUrIB67ZGxWdatNElgS6Dc2mRzOkkwo350usbbcZKyWp1E1qLYupkQz5zvctigKG5XJxKodpe9F8l0SB6xeKbNcMRFHAcX2WN5toqsR2zSClKeimw93FKpMjabKpvb+dIAiMFpJ89XsriCJ8/iMzx/4eYj7czIxlkCUR03Yp5TQqDZNHq/XOmpvg/lINPwiYHs0wP5ljq2rwcK1Oo23x4qUyF6fylPIauukgCgK+H/DmrXXapkPTcJgZyfDG9TFWt9ssbzYpZjXGirvyaGokjSQKFLIJbNcjm1SZGEn3bTbq1UWK2QRv39vCcX1evFRmcmT4vPz4CxMkEzJtw+HyTH5f+XRchsmd58nF6TwJVcL1fMZLqaEtp7vyKK0pTI9mzqWTJ+ZsMD2WZXmzyfJmi4AAWRTJZxNcmsmRSarcflzhvQfbSLLIq1fLQLhW5dMqfhDqsqII6aRKtW5RymrkMirToxlc3+e3v/mYVELhoy+MR8lMg0hSqA93bd+D7POYmJiTUc4neff+NitbLaZHM3zqlSnWttsIAkyWUyxtNCN/0Y98fI73Hu6gSCIvXS5zZ6FKrWUxN57rS3LwPJ+lzRam7TJaSHLjQpGtmoGqSJRzGt+7t4VhOlybK2G7Ho9W6+QO8cFdmMzx1u1NXD/g8nT5SOtbr90jCDA1oDesbbd4/+EOkiTysZvjZDr6tCJLTI+mub1QRVMlZsayJ/pubcdjcaOJ7wdMjqQpZBMsbzYp5UIfZUzMaZBJKlybLXLb2wYCZFlkJKcxNZImnVSwXZ/p0QySGBZgujKTx7A8RotJNFXm/Uc7tPTQR53WFEzbQxQFZju++aWNJrbjkUzIGJaLLIlMj2WwHS/0a2dDv7YkgG57zE/mmBkL52ZCkSJ5IUsinu9ze6FCKaehqTJr260j+cIBrs8VWdtpQ8Cx9Yeu312RQ1/oMJ27lz3+u1hfiYk5kGHxrqOgqXLkJ0soEhPlNJ4fsLbdwnF9XNfn3lKVcj5J23AwOnpIOX88n6Cmyn26S1KVqbctkgk5Wr/7Ym49sUkIK3SvbLUQBYGZ8Qy1psV7D7ZxXJ9L0zlcL6CQTTBZTvfFWhzXZ2mjycpWk0rDpJjV+OjNib7EUVWRuDFfYquqM1FOk0kplLIavh9wZ6GCLIlcmg5jJt3vqIvr+ZGMHiuluDlf4tFqncerjagbxuXpwnP3IVyezrPaiaOMl1JxYmzMmUc3HZY3W0AYRxzms0hpYTzi4UqdWtMmmQg3QlyYyJHPJhgtJPvsrO5cnR7NsFnR0S2XqzOFKAG+N+bRja/0xuVH8klECbarBitbLQRB4MJkllwqwUR5uN3h+wHLm010K/QJd/21M+NZtmo6uUyC+axGMZcYGuNs6jZr221EUWBuPIuqSKQ0hetzRSoNE02VmSinqDRMGm2blmFTaZi4nr/HLnuWlPNJfP/4a07Mk9O1x9e222xWdYIgzCGYKKe50fn7ds1gaiyDJAiMFpNMjmTQTZfbj6tIkoAsCrxwsUQxo7K23WZ6PMtHro+yVTMp55J74n69a3A+q1JtWH1jdJCHK3XuLVXJplTKeY2VrRb59N5cmesXiqxutwk6tsVJC6UdlrMTE/Nhp9rsbOI4R7JYEgX+6s+8yv/5H32NP/juMj/46hSffGnytG8rJibmQ8j8ZI63726BCDfmi4d/4AzyX/3sa/zdX/kGluXxuTemuDxz/p7js6/N8Gtfe0BTt5mbyPLq1bHTvqVT41Q3cXz729/mb/2tv9W3gQNgYmKCn//5n+fv//2/f0p39mzJpVR+4JWpIx2b0hQuTuWPfG7P87mzUIlaHqY0mZSm7LYdFOClS+UjJ3RuVnWWN1qYlsviRpOxYira/HFhMtz9JIoCM2NZVrZarNRCR0qjZRMEAYsbzah1p+8HXJ4p9J1/o6Kzsrn7GVUR93XyLm822djRWdlqcnexxkhBI6GEG0pevLT/ZpiD3tuP0eKuIWo7HveWalHrJNfz9929ppsOD1bqEECD8DsY/P3WdtpRS6NGK3TunkRxPu7YiDn7mJbL/aUaQWfOeF7AldnCvsdXGiaL600gHEuyFFblfbza4NbjCus7bbIplZ2qSTad6Eta0E0nTCgvpRkvpRkpJJkaTfPu/e3o+tBfWbucD4Mwtu3y5e8s4fkBgiCwtNHi5cujfO/eFo2WFW1SSmsKxZxGU3fQVClK0BjG47UGiiyiyCIL602KOe1YAQRZEpkdP1miRy/xvIp5Eko5bd+WpJoqMz/5ZLuGH6zUo/W8qTu8cmVkqCP0zkIF2wl3NrQNh9eujT6VbhAPlus02t3rV3n16gj3lmoYnRbNsu7w6rXRvkDqcTAsl9WddlQJaHGjyZUBvQFCp9PCWgMIZUc2pVDOJ2np4bOqisSFyVxnY1dAJqnSaIdBi1JOO3DzZDalkk2pnQ1pFoblsrTZ5OJknuXNJts1g7Fiikbb5rVro3vklOv6/OE7q7hu+P1/7Xtr/JnPXTnR9xHz4UQQhCjA2DIctqoGmaRK4MPX31mLNj+0OvPpO7c3qDct6sBWzeCnPneF0WISx/V5+94WtabJ3cUatuMxUkiyo5hUGha1pkUmqeK4Pms77WhTlCAITJTT+86DQV3ka2+tRAkFWzWDP/2ZK30JDV1kWeT160/fqB4mdw5LIHuaSJ0Euf2oNa1IHjVaNqIoHGnTeEzMMBbXG6zv6KzvtNmsGpRyGlOez+XpApIkhHq/IOB5AXcWalybCxOqPD/gwkSWlulQziVZWm/S0G3mJ3NInSqRX/v2SmdeG9iuxxc+OrfvfSQTcqwPx8Q8Q2493omSkJY3WzxcqXFzPvRbrW63+vxFV2cL/NCr0wAsbTQj3babmNPd3Li40WSraoSfa9u81Nn4CXBvqYooCKSTKg9XagiiQCap4vsBK5utyLc3yMOVOqoioQKP1xsUctqR9Pz97B7TdvmD7y5H/krDcvlTP3ARAMvxWN5s7doB6w2uzR0/4HB/uUZLD9ugr261SKgSmaSK7fisbbfjQg0xp4btejxYadA2XQgCVnfajJfT6KbLnYUKr10bY3IkzSS7OvpO3eDBcp31nTaNtk0pr1FrWsyOZUioMpbtkVAlKnUTz/N5tNaIkqVyaZUb86Hv2nI87i5WCYJw04ZhuX3+gUxKJZNSWdposlkJ5UilbuK4flR53nH96Hz7oSoSFyaO7/PovT8I/e5Hmf+x/y4m5nj0xruOQ9dP1kUUBeYmctxfrlHv2Or3lmoUMglURQrjXQPdQo9CVxZ1KeV3/attY/+Ym+cH3Fmo4nqhH67Rtri7VIv8cp4f8GM/dGnoNR+t1lnfbvPN99fxCRgvpjFtlx/9xHz/vSUVMsldeWM7Hu/c347ihY7nc2NIvPDRap1qw+rcl80Ll8pUGhbVzgaOesuKNqU8T6SnFEeJiXkeBEE4x53OnNZNh9euje3RAVq6zWbFwDBd7i1VSScVCpkEhWyCq3PFPXZWNy6/uNFEEATSmsLaTpuRQhItIXN3sYppeZ1zhzEHURT69I+dusE33luPciASisj1N/bXl1a2Wqzv6H33kM8kWFirI4kiuZQaFfYZjPk4rs+dhequ3HF8bl4Mr5XPJPqK6ZTzSTwvYKtqYODRaNkoknSiNeCknHTNiXlyNFUmoUgICOimw+K6E413SRIRBAHfC/AJKGRDG//r76yyvhPOj426zrU5FVWRmZ8qMFLQWNoI54bleKzttKNNQX7PGuz5Pt+7u8XcRLi+WLa3Jz9nu6bz9XdXIYCVzRaCCC9eHMHzA1a2Wn22hCKfzLbo5Sg5OzExH3a6nTj2y104q1y/UOKnPneFf/v79/nH/+Ztrs8Vz9VGlJiYmLNPEAQ8XKlH3fUerTR49droKd/V8fnVP3zASD7MA723VGd9p8VE+XzFQP6f//O3abYdQGBxrcX/+Ovv8Rd//KXTvq1T4VS3GxuGQaFQGPpesVjENM3ne0MfAhzPjwKiAKbtYVju7gFBaDgdle6xdsdBYrvha8N29xzbdx1CJyQ9yeDmkOsO/m3wHMOO1TvJom7nOZu6feAzPCm240WOESBy3AzDtL3+Zx5y7ODfhn2XMd+fWI7Xt4HisLFhDswX03ajOWRYYeJCN4DRbFv91xoYq4blYtn9199vrOuWGwVCIJyDnh9W3+rKCsNyCYIA2/E693aw3Om9lu8HkVM2JiZml9457/tBNN968f0g2sABoYO/dw17EozB6zt+3z25nh/JnJMwKJcGZVzfcR1s14ued/D65oAM3e98w+h+1nbCe3JcD8fxI9kUPv9euWa7PnbP/emmg+/H8ixmONbAGO3VaV3Px/N8Wm0n+pvnBbSN8LXjetF62Tv2bdenPrDmH6Rf77mnAV2k91yeF6Cbz1bvHmSY3DlLDMqZ43zXMTGD6JaD4/pYjk8QhGt44IeJSPWWjdOzxrUNB9P28DprvO36UeKy7fidtSv8f6Vu9M3rZo9ciYmJef5ERVaGvD7IXzS4xvTqtn2fC/rt7973LMfrs7UP8jn0nt/zgifS8yGUW73+yl4dZ48v4oR+st5nNW2vz28Rr9Exp4lle9H4DAjX7e6YtJ3hNnt3HnfnrGm5fX4A03ajeep4ft97vePdHvQ17jMXeued6/l9cuRZzp+nNf9jYmKeL+aAnOnVLwZ9HU98Ldvt8xf2+gUHfYH1lrUnbnHQeQ3LxQ8CCMDzvT79ZD8G44XWPjGUXjkaBGGSebcQDvSvBTExMcMZjBXajh/5QXqJ8gf2xEXD14N5Ed251yvLgh47yhyQM94Q/36jbffJpq5PZj8G53v3ngZjo8NiDl0/cHSuQ+Ts4PuxfvX9xZ7cm87vPzgOuut1y9hdKx3XjwoqBUGAYbkDa/zwNdjzAkynx0cxZMw12k40ZxzP71sTjxO7OypHydmJifmw091QXMwlDjny7PFzX7rB3ESWWtPiv/0X33liv2RMTExML96AnWEN2PnnhVpPHocfhIX0zxvVZr/fZmmrdUp3cvqc6iaOixcv8uu//utD3/sP/+E/cOnS8Aopg/zSL/0SX/jCF7h+/Tp3796N/v6Lv/iLfOlLX+JP/+k/zZ//83+eW7duPZX7PsskFIlMarfKTTmvMVLYrXagKuKB1fAHKeY0BCHs6CHLItnOucu5vRUUynkNOoW8JElgeiwTtR6N3h+g1Dk/hFV8DtoF3P38WDFs8ZtQZAQBLkw826oxSU0h2VNxuDTkObpkU2pfy/dhz9z7PYmiQDEb7xqOCckkFRLq7pwZOaT1eCGb2G23LYTzqZBNIElC1Io3mZBJqBJTo/0VtzMpFVXZHasjhSSZpIKWOHjOAuTSat88uDCRQ5ElchmVtKYgiQKjhSSCKJBNKciyGFUI3Y9yYfd86aTSJztiYmJCejvjJDU5qorZiygKfc6YUCY8HXWvV5/oXr/3b9mUiiqf/FqZVP/c7z13L4VMKOcglEfZjnzJpdW+KlWDOka3k9h5vxrlAAEAAElEQVRR6MrfdEcHSCRksund6oPppIKm7v3+U5rMWGn3vqdHM4hi3KI5Zji5dL/eONdTXar73tzkrp5byCbIp8NxrKky6aRCJqmQ1mSSWqgX57NqpzX4rn6w33o+jEFdpLcjWD6jUsg8X711mNw5S/TKo+N+1zExg4wVUmRTKvlMOP8zHZ14djzLhYks+bQKQmhKXpjMkU+roZ0uiaQSMnOdaqpd+aGpEqoicmEi1+cjmHvG9nNMTMzBXJjMRTqqINDXCWPQX1Toq6i6+54sieR7dNtee1qRxb6K2b3vFbJa5NeD4b69Lk9TzwfIpxN9+nivjpPe44s4WdXW3mcdL6VIJjrPKpz8nDExT4NiTmO8lEQABFGglE0w0hmvxVyPb6/3Mx2fX66z/heyCTIphVRHHy7nk9E8TSgSmaRCsjOPeudvSlP6dOj97OxyPhnJmKQmM1rUDv3M0yCtyX3z/zBfaExMzNmgVy6U88loHssDesjTYNB30huXUAeuNzeR3RO32I+RfJJsSiWVkJElAUWW+vST/ThqvLDXP5BQJco5jfGRVNTZLJtWYh9CTMwhSJLYZ0MUsomh3QFzaRVZFhktJJEkMdR9BJifCmVAKTdgZ3XO2SvLevMryj25CrmMOrQr8ORIOtLLAOYO6cI+UkgOted6bZikJpPU9nYy0lS5rzPyyCGyYzAuElcv//5icLx381B67X+lJ27fu1aOFJKMl5KIokBClSjlEuQznXVW6K/m3+0A2D3feCm1e54hOv1EOR3ZK5oi93XKfBb2+lFydmJiPuyc104cEMqYX/yLHyOZkHn/4Q7/w6++RxCcvwTrmJiYs4k8YGeUctpQ/+xZp7craC6tcGX24E7KZ5HXb4z26K4iX/zo7One0Clyqlkwf+Ev/AX+9t/+2zSbTX7qp36K0dFRtra2+LVf+zW+/OUv80u/9EtHOs+XvvQl/spf+Sv83M/9XN/ff/iHf5i/9/f+HrIs8/u///v81//1f81v/dZvPYtHORMsrjfYrBoossj0aIaUJlPMaWGlriCs3HtxKt9nsBxGJqnw0uURWrrDCxdLOG7Aw5Uqv/vtBVRZ5AdemWKy0zaxmNV48WIZ3XTJpsPkxhculam3rD5DDsId9feWaliORy6tUsxp7NRNPnhUoW04JFSJZELmykyBluHwR99bwXI9LkzmeOXKKJmUwsaOzuRoOkpWB6g1LR6u1gmCgAsTOVRZ4l9/+S7VpsnMaJY/87krqOrByeGe53NvuUZLd8ilVS7PFChkVbaqOpoSfqdbVZ2vvbWCbjmkkyqz41lKOY2LUzleulym3rJJqNJQh3U+k+ClS2Xaxu73dFYIgoAHK3VqTYtkQubaXGGoc+qo6KbDvaUajuszOZJmuscgj9mLJIm8eKlMrWmhyGJfC1zb9fmDNxfZqZuUchqff2OGlKbw0qUyS5tN3rqzyYPlGpemcjR1h7XtFo22RaNtYy963H5U4fp8kRculrk6VyShSLx4aYSdusHSRouljSbNtk02rbJdq6OpMtWGyf/6+/ewHI/Xr4/zhc5iKYoiP/zxC9xfqvDVN1f4+rur3Hpc4ac/d5XRQpIrM3kEUcAPQO4EnAfb/w5yYSJHLq3i+2EL114FaX2nzfJmC1kSuDxTeOqBoJiYs87CWoOtmkFClbgwkUWSRIr7BCwArswUqDYtgiB4qo6Z2fEs2ZSK6/lRQsnFqTyFTAI/CChmNQRB4K07m3zlzWUAPvuRGV6/PsZmVWdpo4koCFyazvfJty6yJO6rN0BYPe/Bcq1TpdzFsn3yaRXPD2ibDvOdQMn95SrfvbUFwMtXyowUUmRTStQOcZBenWS0mAz1B0Xk/nINw3K4ebHElekC85M5HixVaRkOM2OZfQ25uYks95ZqiKLAhYnD1z3Dcrnfub7r+Z2NqhJXZwv73vNRcFyfe0tVdNOlkElwaTp/ZONzo6JHutfN+RKvXRs78X3E7I8iS316YyapUGtaLG+2qDVN/v0fPkIgYHWnjW5Y5NMJbNfnwkSWP35nlWrTpJhN8OKlEcZLaTIplVrL5De/sUAQBFyZKQDw1p0tLNtlvJxmeiTNVs3AtD3KeY35yRyu53NvqRaOlWyCFy6WqLfsji4ywcJag5XtJiIi7z/c4fJsgUxyb0DxadKrj0uSwMxYlpF8v36wWdFZ2gzlyuWZAk3d5uvvrOL5AS9fHtnTsv1ZoCVkXrxUptl2SGnhxpqYmJMyNZrhs2/I3H5cZWq0jSwKjJfSPFyps7LZwnY9WrqNpkjcelzhN/7oEabjkVQE5iYLlPNJXrpU5pWrIxiWyzfeXcPvVM37kY/PsbLVJpWQmRxJc3uhQkt3yKYUrswW99UpnjU7dYOFtSYAF6dycWJBzPcFo4Uk1+eKLG+2mRlLM9rj00ppCookUmmYjJdT/P53Fvn6u+tIosBPfu4KL1wsY5guuYzKTt1gdauNIomMFjQer9Vp6jbXZkus77TZqOioSmg33F+uoZsOr1wZpZhLsLjeJJNSyKZ31y3P8/jXX77P8maTQjrBlz41h2W7uH7AhYksgvBkckKWRX70k/MsrtWRZZH5yXz0niQKvHBxuC/kOAz6FRzXO9Ia/Sxk0XdurXNvqUZClfnMa1OMFFKHf2iARju0f/wgYGYs25cUE3O+yCQVPvPGDK7vs7jWZGIk00muEqg1Lb753hqPVuus7bQp5ZL88MfnMEyXb7y3wq2HVWzXY7yc4gsfnSOdVLi9UGFhvcGl6TxjxSSP1xqMl1MUshqT5XRfELJSNzE61eYvTef39c2WclokY1zfZ3mjRdt0uDSVY3b88KTmasPk0WqDO4sVdNOlnNf49GvThyZkSZL4VOZ/TEzM82WinCalKdiORz6T6HQH8shnDo4DWI7HH761wjsPttFUiS9+bA5FFtmpm2iqFMUteun6TioNi9WtJovrTSoNk6szBSRJ5PqFItWmiSiEicqzE/lI37Bdn3/1u3exHZdyPsloMUU5r9Fo2ziuTzGX4OMvjbOy2aaY1XjlyigA2zWDf/eV+zxcbTCS1/gTn7qA44aVOifKKV6YL1FtWnsSP3qZGsmQ1hQc16eQTSBLIi9fGqGc17j7uIqiSCxvtlhcb+D5MFZM9hX3OA6mHfoWu76ei1O7epbr+vzBd5fZqukUsxqf+8jMmYpJDjLo6zmsOFjM6bK61WJ1u40ii1yZKTyRX6xtONzv+P6nRtJRgvfV2QKVhokgCBSzCd59sM17D7b7chRUReL+cpU7CxU8P2CsmCShSCysNvhn//59HMejlE/yn37xOqOlZORzD5PKZeoti62awdffWcNxXSRRpKHbZFNqtBEE4N37W7z3cCe69mhB4+0H2+RSCWYOiX/36lq5jBrJupmxMObiuP6+MR9RFLg5X6LWspDE/eVOl2xK5cVOHkImFRbee//hDoblRrkMT2rfxZxdCtkwD2VhvUmtZXL7cYVMUqHetvF8n2rTYqdu8GitwWdem+L162OMFJIYlsvcRBbT8rh2weHhSp1vvr+G78FLl8r80OvTrG23ubdUI5NSuDpT4Npcka2azuPVBrmUiigKXJrKYToe37m1gSKJXJ4tIIkC95erSKKAYTkkFJlSViOlyVyYyLJZNXi81ujLTenmRSxttPB8n1evjHJtrrivvW5aLveWa1i2x2ghyYXJvTk73Rij6wXMjGWYKKeHnus4fPuDde4v10gm5CPZPzExz5NqM9zEcV6LCs+MZfmFP/cG/82vfIt//0ePKOU1fvaL1077tmJiYoCljWYUf7gyUyA1ZCPyWaeYS7C61UYQoHQOOxYBiELA3cUKvg9zY2nS2tm19ffjB1+a5Le+/gjbhVwaXrt6/jaiPC1O9df7mZ/5GXZ2dvgn/+Sf8JWvfAUIk8g1TeMXfuEX+Omf/ukjnedjH/vY0L9/8YtfjP796quvsrKygu/7T1QROQgCdP3stZ9p6jYLq3U8z0cQBfBdrs7m0XWde0t1HNtGlWBlo0Y6ERw7CTos+htgmjYfPNwGwAS+9tYSP/aDF6LjhM6xvmuju2HLm/BSLrq+2wrx/nKdeit83zBMAs9hu2ZiOR5LGy2yaZXxYpLbj2werTZodtqQ3nm0TVoF13Eo5xRsy+bR8k7UZeCDh9t4XrgD9/Yjk9WtNhvbYaudh8tVvv7OAh9/YeLAZ13darO1o0f35jk223UTRQTPc7j9aJOFtSaNtk2tZbG41iAhBxiGiSp5lHLa0Gce9p32fk9ngZ26ydpmGLg2DLiP+0SdTm4vVGkb4XfwcMkkIXnncvF+nsiSOLTC3QcPt9msGABsVQ3ee1ThjetjaAmZhyt1bCds9fWN99ZJKBKVhoXleGxVDRKKhO14tO84zI5nWVpvcmW2gCKLWI5HEAQEAaxut7BsLwqY/ruvPkDuVPD/9gfrvHCxyEQ5dESqski1YVHvtCTfrhl87e1lfvzTl0/87MMMSNN2WVwPx6TtB9xbqvH6tdHYwRjzoSMIAlwv2LPRst6yorZ3hulSb9tcmyseeC5BOLiz1ZMwLEDQ6zS1bY/f+85itBb/3ncWuTlf5PFaAwLwCHi4Uuf168M3BSjycBkI8Gg1lHXd72R+KsfSepNMSmW8lGJhvUEurfLN99bpFuP43r0t/uwPXztQ91vcaEbtzDd2dAqZBN98bx3fD0goMg+XG1ybLbJZ0VEVGVWB5c0W5UJyT2DZdn3evLUZdUv41gebXJo++PdaXG9gWC5t02Fls8XMWAZfU1jcaB76Wx/E6lYrauNeaZjkMmrfxteD+MZ7a+id7+S9BztcmIgTa58ViiyRz4QBOkEQkGURw3LZqZvUWxYPVuqIBNRbDrrpk0trfPv9dbJphabu0tRdrswWcX2fkUKSr35vOWoT/p1bG7x+bYy17RZBEG44WNlsMVZMIggCW1WDfCZBo23vjpW6ST6dYLS4Ow/HSqlIDlmOx+PVOi9dHnmm38vaTptGa1dH9v2gr6uQ43o8Xu+VKzUeLtejlu5v3d3kwkT2WB0IT4qmymc6ASLmfKGpMqIoMFFKYVguC2sNEqrE4kaTpm5j2T6ttsN2zaBtuYgC1O2Ax6sNUprC3aUql2cLPFiu4XVa/z5YrjM1konWlJWtVjS/6i2bjUqbqZHnv9ne90OdoLtmP1ip85FsItbzYz70bFR0/ACmRtNhi+uddpSgtLrdwnF9simVlY0mv/edJaSOHvvrX33A/+2/+BSZpIJhuSxvhL4uy/f47W8vIothx9p7S1UausVoIYVpefzOrUVUWUJTZd6+v8XcRJZip7PW8kYr6rr15u0tFtYaAOw0TP7dVx7yiRcnSQALG01K+eSxisIMQ5VFrswO12/384Ucl16/gnSENfpZyKKtqs7tx1UAdMPhWx9s8Kd+4OKxz/NwpRa1dV9Yb1DMJg4tkBFzdtmpm/g+lPJJbMfj8XqTfDpBMiHz3oMdljYaJFSZ9Z02X/veCq7ns7jeomk4+H7ATt3izVsbzE3kdsfFWoOtqhHZ/03d5vJ0T+Ku5/NorQ5B2Kl3q2ocuCEjkww7fbx5e4MgCDtTbtVM5iYOTvTrFgXaruksrjcRhHC+f/uDDf7Ep+YP/W6e1vyPiYl5vvQm1yuySnbA5eR6PqIg9BVjWNpo8r17W7iej+14/PY3H/PatTFUWUI3XZY2mlFBil4UWcLzfBw3XLAbLZv1it7pgCv0JUx29Q3ddPj3f/gI2/HYqOhs1QyyKZXv3t5kvJxClSVWtlqoisTMWCgblzdbXJrO8433ws2YQRDqbr/21Yd84aNzQBg/LGa1I8mtwY1poiggi2Lkq3iwXENTw07H6zs6xZx2ogJWyxstdDP0421VDQrZRKQT3Xq8w/pOGwhjOO/e3+Zjh8RIT4thvp64sMzZRTcdljc7Nont8Xit8UQFVR6t7vr1ljdbFLIJUpqCIOzO8YZu8/bdsHiT4Xn88Xvr/JnPXeGd+1s8WmkQ+AK64bK41mB+Ks9X3lpmq2qgKhJe1eBbt9b46S/0J3/mMwmWNpp4XsDaVgvH8/H8AEkUGMklWVhrUM5ptAyHt+9tR9f+7W8uhBsqOrbVtz5Y50ufnD/wGTOdrsqDHGUTqySJx0oOT2lKFI9/uFKnpdt4fsB2zSCfUeNE8w85siTS1G0kQaRtONxdrDI3kaXZtrn1uMJ4MdVnq/baCJoqU8gm+LdfvofbWXfffbjNxek8jXboT+xdh03Li2wF3w9omy5r2+G6Y/kej1br0YbNluHS1B3EjMhOw0RLyNRaFjv1MNG8bYRy5eJUnvcfbLOxo7NTNwgCeLhaR5LEfe31xY0mRmct3KjoYVfzTKJvve7Np1hcb1LMaXtifMdhfafNnYXQ9m/pzpHtn5iY50EQBFQaFnA+O3F0+dTLk/zln3iJ/+HX3uOf/8YtEorET3zm5PlIMTExT07LcKK13rQ8Ftaa3Lx4vhLvfT+MqybUMN7xcLVBMaedu/jkv/m9+wgISCKsbOv8+lfv8+OfuXLat3Us/tG/eRsQUWUwrYBf/l/e5hf/95887ds6FU492+S//C//S37u536Ot956i1qtRqFQ4PXXXyebPXni+DD++T//53z2s599og0cAI7jcOvWrad0V0+PluHy7oKBYfkIAsyMqLit0ChZ3LIwLD861jc2yGgnM0iahst2RxgD1GWBW7eOv6llactC77mn6rZIy/CxXZ/tuku7KWK3ZFRFYHXHxnJ2W6Pdl5pY7u7rVk2mvh06IhZWDHq7qG3ULBpNL3r9eMEmK1QPvLfNukO1ubv5orYt0TR2z6HIAutVG9MOaBoethuwvGKR0SSclkI+ferT6sTU2i4bVSd6Xd+R0KsnT357vGFhObu/M+YmqcSTzcHvV1zP3/d1N0ELwPfD11E7we7/Ohs1fB/8oPf4nn8HQd9rr1MRvks3SLzfPTlO/+unQfdWPd9nebOF54XO05vzpTh5IeZDg2463F6o4ro++YzK1dliFODsnZPQP3/PKt0NHBDev+sGkSyCkz9D97vofj4IwA+I5F0QhHKr9/Sef/i1hn3H7sDfXC/Yc1ww5Ny+P3B9zz90A7HfEZ29zxF+9sl+68HvefD+D2LwexuU9zFPhyAINyfWmhayLHJ9rrg7zjvHeL4Pwu64CMen3zenXM/H9wP8IX8Pr9O5nh+E5+sh/Fz/7z3smP73n70cOkz2+QH9csUHt/eY4PncZ0zM08YPAjarOrWmhWW7SJKIoogEPXq6HwQEBBAEBN0gaWf8e531yvX2l+N75tcpzZUA+tZMv2OvnDMfaUzMsRlcn/rt+d1/u14YBAkI/VFSz9zYszZ7Ad39FX4Q4Hu95wmI9jEE9L3Xu+Y77q7fK/xcjz7Qo3N/2HgWsmhQd/ZOqEv3qWTB+bAFY/bH84M98707ly3Ho962USwPVRZxPQ/P646B7mdCO9Ub8AcOztXecRIEx7fFu/7D430mPM7zd1937fOYmJjvTxbWGmxUdERR4MpMISoK4/tBn1zxvICgR1QcZJsM6lCH2TG9MZJeH6Lv78q5rrwaPKfreX3HuJ6PH/iIQqhwPcmavCces0+s5ljnPMAHuMc2dM+ubB7m64k5uwwO1yf1LQz1/Q3gucP17K4tE3QGkNsZPE6ki3R0Lrvf5hm8tt85zu9s4ujaBn6w9/ksx+uLd59lP6RhuTxcreN5Qdj5YPJkXX9izg9+jx0QBAGVuonj+rQMB9vezYE5SF/3enJxggAct79wafezg3N3MJega/f0rsm9fs7BdWr3737fOu11dIj97PWjxMOetk90cE2N7Z+Ys4RuuthOuO4VD+ngdNb5yc9epqnb/Kvfvcs//dX3qLdt/rM/cePcJVvHxHxYOI/5S4OEG91MtmphIe3xIxZCPWsM/hYtw9nnyLPLoI1nPYO80/PCmcg2z2azfOYzn3lm5//VX/1V/uN//I/8y3/5L5/4XIqicOXK2dq1ZNsuy1stCvUdVMtDFgVmZgvcvBa2/p25YHN/uYHvB6STMrNjGTRV6qtm20tLt7Ecn3J++I5cV1nn4UoDSYRPvDjOpek8tuPhej7JhNynLAVBgGG5yJKI5wcIgoCmSn33lE0rXJrMcX+lTttwydUMcikVLSExNZLicsvmnfs7+AFMj6b5xIvjvHN/i62aRTGncn22QDqposgi5QmDpc0WBDBRTiGJ8L999TGW5ZFLK/ypz10mk9x/U4Lj+kwaDosbTRw3IKFKXJ8rsLzZotKwEAS4OJWj0bL51gcb5J0wse7mhSLppMy12UJfZSHddJFEgYR6cLK57/tUGhZaQjrw/p4GB92T5/ncWapjmC6yLHJtNk8ycXIxMTlr8Wi1ge9DIav2VYM7r+y3iatSN2jqNjNjGSTpaJsLfD+cH0InOVNLyHta5Zq2i+8H3LhQYnGjhW44pBIyL8yX0E2HALg6U+BbjXUc1+fSdA5BAEkUsD2fuYkstaZFQpWYGkkjCAFToxlMy8UPAibKaWpNC8f1Kec0FFmk0XZwfY/Xr4/x7v0tAgSuzRWZHe937H3k5ji3Hleptyw0VeJTr0ye6DsdfNbebi3JhMxoMcnthQq24zFeSmPZHms7bS4MaS9uWC4CYTV/0/YOlHWnTRAE6KaLIovxhpQPCZ4fYFouCVXq2wB1GMubrcjZV2/ZVJtmVAkpn0mQy6g0WjaSJDBaSKKbzp71dj9cz8d6jnNBVSU+cmOMN29vAvCRG2Nk0irj5RQbOzoIMFpMslXVyWc11IFqvsPmRVdWTpTTLG00yaVVBEEgoUhMjqRRlfAckyNp0imVFy6VefPWRnj9m2MYloemhm1jFVkipSnYjhfJ3KnRDJvVdRpth7nxHLIo8sLFIt+5tYnnBUyPhm2VZUnkzkIF3w+YGc9Gbdd70VSZG/PFqPLuK1dGDt1APD2W4e5ilZSmMFZKktLCKuzTYyevir5TN0gmJBRZxHF9kpp8rMqmr10d5Y/fXSUIYHY8w+g5NVzPKo7rYTs+puVSaZjYjodvBrz7YJuRXIKmblPMJKg1DCZKKdqGDQgEQYAsCXz+I7N85/01XM9noqQxWkhRzmtoCZmrswXuLdVAgB94ZQqAcl7DsFxSSYX5qTy1poXr+WRSCsVc2La81rJwXZ/UkLGSTiqU8xo7dRNBgNnxLJbj4Q3R/Q+iO5dVRUSRD173xstpqp2uYglVYqzYf08JRWK82yGkc09pTeHbt9chgEvT+SNVsYuJOYt0A5uO5+MHAcVMglIuSTalsl7RySTlMDHS17EdD0WCiVIK1/Up5ZP4QcDNi0W++paO7wdMlsN1rNm2CQg7aFXqZs/8SnWu61NpmKiqTO45dLGRRIGZsUxUuXN2LNtnS8fEfFgZL6VY22qyWTMYL6QYL+3qWZPlNJtVnUbLZqSoMT2a5uFKA0GEK7NjOG5YtTqZkPvW5h98ZYo372xg2R7TY2mmR9LcW2qQT6v84MuTvPMg7Fp7cTrHZDlN23CRJIHp0QwN3ca2Xd64Nsr7D3eodvwHn//ITOgw7/jXjmOz6qaDKAhD9eVeujpRMiGf2vwflEUzY5knvpfxUoqp0TSrW20kSeCVK6NDjzvMVpsdz0ZdFMZLqbjz1zlFNx08P0CVRfJplVW9TTKpcHW2iGk7VOtW+F4mgWGFGzjzmQRpTWFjp0WzZWG5LglFZnokycvXRrnzqILl+EyUU1yYyLNeaUMQdtATRZGtqo6WkBAFsc8W762w29XnBzsmS5LI9FiGlc6cmBvPHqrvi6LA7FgW3/cpZhN4XoCiiLxydfjYj9nLMJ9oTMx+7NrW0hN3yXoW6KbD0mZYDTulydx+vMPVuSKFrMbUaIbL0wXuLVdRZYmPvzBBPpugpTtIkhB1JxvE9wMUWcD1fDzPR1PlPh2qS+/amk2pXJkpcHuhQjatklAlqk2L6bEUqiLj+wFzEzlcz6dtOMiSyNRoGtNyuXmxxIPlOms7bVIJiU++OIHrBNTbOhPl1NBK+kdltJhiu25gWh6T5XSkd+Qzal93k+MwNZKmqdt4XkA2pfZ1Jrt+ocTCeoOW7pBMSLzwBJ0Snhb7+YeG+Xpizi6ZpEIpH/oXBCHUo5+E2bEs95fDDjiZlMIwlbyY05ifyvF4tQEE3LxQxHI8Xr40ylt3tljebKL06N+ffHGCL7+5jCgKpFMyX/jYLLrp0jbsKDZhOx7lXJLH63VyaRXX9dESMrbro3biD4osRjHW+8s1JEngc69P83i9yWbFQBTDOK3jelHnINP29sSJGi2batNgrJwh2ROjP46ftZt3IUni0A4Cw64dBAGeF2C7HglPIva8nF96dcZa08Tzgz1dVbr2eFeeWq6PLIt4XkBakwmC0GcuSQIvXxmhbTgEQYDr+tRaYe5NPpPk4y+P84ffC2NEL1wscWO+zAePKtFmqFzH957PJNis6AiCQFKTmZvI4gdhZ5tACLuQZpIK6zttLNtlvJhEEAXKeY1STmO8mGSnboRFKAmijZ8350ssbbbIGQ6W4zE7ljnQdzg9mqFtVPG8gFxaHRobmJvIRp04R4vJJ8qBgfDZJspp1nc6tn9s/8ScISqNsMNNMiEf6p87D/xnf+IGqizyP/3mbf7V795lYa3Bf/Wfvn6iLnYxMTFPRjalUMgmqDWtMKdlHzv+TCOEG7a7harP40YUgI+/PMFXv7sKQFqFP/elm6d8R8fnZ75wlf/+f3sH34eEIvBf/MT5e4anxamv1kEQ8O6777KysoJlWXve/8mf/MknOv9v/MZv8I//8T/mV37lVyiXn9w5JQgCqdTZSWRr6TZf/u4KlabJ4nqDyXKGpKaSSCSi+0ylUowUczR0m4crdR6tGyQUiZsX91ayv/V4J0y8DELDo9siuJf5qRKyoiCJImPlPIYj8HClTRBALqNyfa6IIAj4fsCdhSpN3WazqpNKyGRSKjPjGaZGCowUczieT0KREASB17NpLCd0cLiez9pWi82qAUj80GuzjJbT5FIq23WDN+9UaJsOluNjuwLlfIqrswXmp8tMjxcIAqJn+/mfLdFsWRQyCdQDNlPUWxb3VprhZpdUikszeZJqGEjO5zJYjockCsiSyPQ4XJwtY7s+aU3Bcb3oObo8WK5F7R/nJrJMlNNDr+v7Pr/zrUW2qgaCAJ96eYpLz2izw8OVOtudnYT73dNHbu7+DoMbCo5LKpVirJzH7TjWP6y8fW+T3/7GAn4nsP5zP3rjwLEGYbL37ccVduoGK1stJkppSnmNFy6Wo+DLZkWP2keXcho/8UOXaBk2maTK4/UGmxWdpY0mhWzo6BBFKGaTlHIJPvvGLJIosLjRZGGtxgcPKwiCwKPVBsmEElXCGC+leOXqKI7joSoSoiiwXmnxlTeXqbVsFEXixnyJ63N7259lkir/+Y+9SKVpkM8m+5yOx2WjorOw1gCglNf62qZfnMojCgKrW60osWHYyFxYb7Cxo+O4Hrrpks8kUGSRmxdLZ278BUHAncUqjZaNIITJpnH74vON43p88LCC5XjIksiN+eKRg++DfvnetUQUBa7PhcGIWtPiwUqYxFPIJrg6WzjQqW9aLh88ruC6PqoicvNi+YlaAx+VH/74Bd64PoYkQT4TjusLE2HC2FbV4KvfW8bzAjIphT/xqflofvbqDYIAV2YK5NIqtx5X0E0XURS4PF0gnVJQZTFaq7rdL7rrvuN4SAI4PtxdrOK6AbcXKgR+WG04l1GZG8+RTMjcvFhica3BN95dx/F83nuww6dfm0FVRD7/kVmSCTly9np+gCgIIAoHVtb66M0JblwoIYqQ0g53HuXSKq9fG8Xx/DBw5PooknjiTTdff2eVhyt1IHR0v3J1BFWWjpWMdmk6z9RoGtv1n0si7/cTjbbN3cVqp0uNx9JWi1rDZGGtSdOw0U2XYi7BRDmNgBAmWSsSN+aztHQXQYRaw6BhOBAECKIIBKxt62xVTV65OsqLl8qIokhKk/E8H8fzEQjlSTeQ2KuDpzSFV6+ODtVnu1yeKTAzHurC9ZbF2/e2IAiTDK51dP+D8Dy/by5fmysemJyQUCRevjKC7Xr7jt8LkzkmRtKIgoAii4wWk8xOZHH9eNzGnF8EQWC0mGR5s8nCehNJFMhnE/zMF69imA6/+Y3HLK23mB5LMzee5tFagyAA2/XQbZdvf7DGrcc7oY5/eQQ/CNfT9x5us7DWICDUrW9cKKF2NkyKooDv+3z5O8us77RBgI+/MMG1ueIzf96p0QwjhSSCwKGbu2JiPizUmhZff3cNvZPYeGEqz1gnCbFl2DxaaXQ2esqYjocoCgiCQMt0ePveFr4fRHrszHgWSRRoGw6XGnlMxyOfUvjNbyyyWTWQRIEf//RFfupzV7Bsj3wmQRAEoR4tidxdqvb5AP/yT7zITt0im0mQVCUc1ycIgmNt4Hi8FvoqgI7/b3gQp6nb3FkIdaKkFhaqOK0CDE9bFomiyBc+Oke9FW6IGeaP0E2H24+ruB2dbJiPdrSYpJBN4AfBc7HjYp4+D5ZrrO20+O7tLQQBLMfl6kyJqdEUghDwYKnG4/UmQRAwPZJmejzL7Uc7fO/OFpIoMFJI8id/qMjb97apNU1uL9SRJJk/8/kr+H6AllCQRIHJkXTYCcML+Pd/+JBq3aTWtnj1yggT5TQvXy4jy7uJsptVncdrob+xmEtwdbZ/zZ8ezTB6zDkxOZJmpKDxxvVxjE5xi7PmizurDPp/r8wWTvuWYs4wbse2Njq29fULxTOXuFRvWXzz/XVc18ewHFKawv3lOpMjaT77xgx/+jOXaLQtZEkkm+7XTYbpAp4f8IdvL7O03qLSMBnJa1yeKVBrWpEOBWFxp1uPKrhe6Ad94WKZj9wcZ24iy3sPtvnK91a49XCHciHJf/KpeS7PFdFUeff6shTFWwA+/8YMm3Wdat1kZavNylYL2/UpZBOIosDr18dP9P0osshLl0awO/EYPwieOH6WSam8dnW0z9fTJaXJ/NgP7saV5FPe+HOYf2jQ1xNztrkyU8Aa342dPwnFnMbr18dY226ztt3mvQc7e2KFAD/06jQvXxnh8WoD3fJ4+94Wsx3dxfMCNFXktaujzE7k8HyfL3xkjq26zngxTa1t8atfvR9tePr4S+Msb7SotyyqTYvJchinvTSdRxKFKObwaLXOVtXg4Wodw3bJpRO4PvzoJ+ap1A0W1htUmxb1e9tcnMyxvNmK4kQ3L5ZIJmQeLNf4d1+5j9tJMP8Lf+ommaTKdi0871FiPkEQcHexSr1lgwCXB+KKtuPxwaMdbMfvu3a3A4LYSVYLOJ9Jat/vrO+0WVwP16jtmhElaF+azkfFnPrs8bEME+UU7z/aCYu2KCJv3BijlE0yN5FFkUUerzX443dXWVpv8mi1gUdYTObHP3OZH3h5mpcujmJ7HiOdcfby5ZEw/6VhcnehitftWgNMFJNcmAgLTfp+gGF7bFZ0LMtDNxxuLVbwvIDRYoo/98PXUFSJRtvmvUcVAj/A7mw2ebBcp96yuTSdj/IiVFlCOaQwVPaAtbBLOZ8kl356NrYoivzwxw+2/WNiTotqM5QRpdyHo9iZIAj82R+5TjGn8U/+7Tt88/11/tr/6/f5z3/8RT792nTclSMm5jkiCKEdZ9phQfcntQNOC7+b+yP0d+g8Tyx3ciwBLA8ajQa53PnqujdWSjFeTqGbbqfw+Idj3ToJpzqTHj16xJ/8k3+SP/tn/yy/8Au/wN/8m3+z779f/MVffKLz/8Zv/Aa//Mu/zD/7Z/+Mqampp3TXZ4t7SzV0y+2Y2wK1lokiC3uS7yVJpN4KK7FAWNWhm8zfywcPd6L2iqtbbbZret/7uulQaZikEgoJRWJlq8XqdjsSaI2WTVMP2/M02jZN3cZxfWpNi0rDis7bvSdN3a0qEXbpkCNnT7iBI2SnYZHpJMN+54N1LMfH88G0PO4t1vD9gLXt8LyKLPUFPpOqxFgpdWhS/dp2O2o1ZFgulu31JYwllP6KGVqnQqkkCn3PAWHibHcDB8DKVmvf665utdnqPGsQwLsPtg+8z5Ni2m7fb77fPfX+Dk8DufM7f5j55nvrUWvfjYrO/ZXaoZ9ptCzahkO1YeJ5Yasuy/bYqQ/8Rp3zVhomtutRyGo4nk+lbtJoh/OrUjeoNi1sJ+gcGzoLkppCS3ewnADXD8e15/l864P16BobFb0T+N2tfPl4NexE02zb+H44r2vN8H4HUVWJiYGqMSehdzxW6iaG1d+WdWY8SzEXVpBKJxUmBxJBXM8PKwsCtZbNRlUPKxi7fjS/zhJN3aHRsoFw3q925FfM+WWrZmB12pK6nh9WDDsis2PZqDtSKa/taWvalcsbO3okE2pNi7bpDp6qj42qHnX4sB2frerR7+lJKeWT0QaOLqoicXexGukiLd3hwXI9er+ph3oD7M6LWstC7zyn7wds1fTIAdtdq3rXfdt2ubdUQ1VlHMdjYb1Js22xtt1GNx1ahsPjtdDRbXS6IHzr1gYBAr4fys/lzTAhdqdu9lXrWelsJFNkcaic6iWTUo+0gaNLVycSxfD/J01g00032sABcHuh0jnv8dd07TlVYv9+Y227Fembemdd3qqZBIRO1bCjj8etRxVabRtJFGjpFncX6yRUGVmU+Nrbq4iCiCxLrGy2WdwI19Cu7AnHX6h7dcdWQpWjIMegDg4M1WcH6erCvfpJvWUfqTXn4Fxe295fN+4idu7poPGbGKg8mtLicRtzvkkmZDJJlc1KuME/pSmsbelsVXU2qwbbNbOTdCNwZ7GOLEv4AdSaNpuVNo7j09IdltYbtIywc9fthQq1poXt+DiOT7VhsVnV+/T/rZoZbuAACOC9hzvP7ZnDCsJxcnLM9w/fvr2B5fhIkojl+Hz79kb0XjepX5bDSvobOzqyLCJLAg+Wa30+q0rDjNbmte02kiSS1hQ+WKiytq0jCmHS0R9+bxVN3d2YHOnRkrjHB1jtJEN27fvjdo10XC9KGAGiSv7D6PPBmW7kMzwtnoUsymcS+/rDNio6rhfaavv5aCH8DeINHOcT0w59w5s7BoblslUz8DzYrOmYlsedhRqVhkUQhPav5fg022ECodLZ3P9wpY7vE1Wmdb2Ahyt1Nis66aQa+W674+TBchXdcGgZNq7rs7jRDKtNm27f+F7t0eerDQvdHOLvO8Gc6NrmB439mL0sD/h/h/0eMTFdKg0To8+2Pns+5YX1JklVJiCg2rCiypZr2222awaSJFLMJcmm9+omw6i3LJY2Wjiuj2G5bNYMXC8I504Pmz1rq+34bHXW1pbhsLrVRjdcAgR00+XNu5uRnOr1MfbGKBY2msiiiOfDRrXNVi3spGrZHm/d2Xqi70gUhcgee1rxs2G+ni6yLFLIaqe+gQOg2jzcPzTo64k52wzGzp8EWRKjuQvDY4UQbkbodgMggO/d26KpO6STCpIkcX+lhiKHcyKVUrgwmUfTZG49qkSxiaZu893bm1EcwLI9HDf0qbheEOk1tuOxVTVotK3oOEUSeb/jNwkAxw3P6fthMalhcaJvvr+O27l2o23zzv1QjvT6WQ+L+bQMJ9zA0blwN9+iy3bNwO7I3N5ri6KAooQJdgk17sRxXuldo957uB2teQ9X6uimvdce32pxf7mGIolkUyqO41OpW1yYzJHPJLAcj5buUGlYbNZ0qi0Tx/ExbZdvvhdWdM5l1GgDB9CJYViIQtgd68FyDT8IkASB7ZqBKAq0TZda06LVifVVGibvPtjBtsPNRdWGycJ6E02VQ59BEK7Fi+tN3M7c2e7EW7vrVyqpHMk2OWgt7PIsbOzY/ok5i3T9bN38mg8LP/qJC/yD/9OnmRxJs1M3+Qf/05v8wi9/hS9/Zym2pWNinjOaKp/bDRwEob4vyaFNrsjiudzI8WhtVz90Pfinv3bnFO/mZPzmHy8AIilNxbB9fvvbC6d9S6fGqWqTf/fv/l1s2+Yf/sN/yPXr11HVkyXc/J2/83f4vd/7Pba3t/lLf+kvkUql+J3f+R3++l//64yMjPDzP//z0bG/8iu/QrH47CtKPi+6SZ+SIJBOKkyPprk0XSCT3PtdDiblDxOmqiJhWB3HhwDqgMEhS2JYAj/Yfa1IIkbfMeF1ug5BMcwxia5/lM0BokCnImh4IUkSokrl3daG3dN0A8pPujgMfv5JNjF07zfo+Z72Q0v0G4rPKjgriWL/PYnndDE9gyQGNjCktcNFazcosfv/zrzpGSuyLEYdMxB235NEoW9OiZIA/u5rQQh/7+486n5OFIQoKNFFFIU9yZHdMSh2qs0rcjjvu/f4LJAlAbfrmxR25UgXSRS4MV8iCIKhzhdRECKZIYlC9Kzhuc/eWB98vng+nn8Gx9lxxp2WkHn16ui+4zs6Z6f7BBDOk0PWKeUJ7ulZMSgvE2qPzNtzvwKSeLxnEEURSRLwvABRDDe1qoqEIISyUvQFlJ75FwZKOzKv890nOjJyMFg4KKee1mbHp4ksEj0/gBInfJ05+tZ5SWSinMG2fTaqOqvbXd1ZQBJB7izXoiD2zedBXTHZo0sOri/PgvAZvIHXB3PcuRwT8/3MzHiGqdE01WYYaOmuZd21rYssC9HaJYidNVPYtaW765iqSH3OR0ncqyMklP7XapwwExPzzNAG5luyxz7vLT6iKCJaQo42MAsD07J3Hvfa6omO7hu9PqDggixLYYkmGOoDPC6hHX40X9ge3V8+e7r1s+RJ7MeY80HXD9v1j0cbLiQRURRRZTFa1xVFYmYsw80LBRbXm/gB0We7fr1OjhaiKJBMDO/62bVlu/pBV04MG2/dBL/Q3xePv9NEkcSoAEev/zcmZhiDevxZTHRXFYlcWiWTlDFMD03b3SxxkvuVOv49LwyJdOIZe7+LwdhFbyylVx8SBQFVGa7zyJKA3Y1J9sRVJFFEFHe7Jx+kX8UcTKwDxRzGYbHC8JgBmyrRP6f3S/ZWBm2xjk7V1cmiOG2P7yXsjEgUJ+3qWWq3WM6Az3OvDyY8fjAXIKkq0bNYHC3ms7eA596Cnr10v7uUpnBxMh/Fn+JCGucTWRLxvHCsyP9/9v47SrIsPewDf8+Ht5mRPrOyfFVXtTfTM4OBGWCAAUAQALkktEuuBOmIgrRLnF1QSx3pkAdcablHS7OSuKC0pJYkSPFIJEiCIDEgvBvvenq6q7ury2dV+szw5nmzf7yIlxGRvqq6s6o7fud0V2ZGxHNx73c/d79PFvuKpIYx5mF7XJJ2ijJkkirpRNiNu9f9qH+dVOSdzT3iUB5BP711uFe5WpKE6HO948ndHIZoXokCsixEm5gAkgkluo9eHoQsCYjd+SQ8ofG3ESOeJmrdbj2F9EdrEweEncD+P//59/Ov/+g2/+L3b3FnpcF/9799B1kSubxY4OxsjsWZLIvTGWbHUyOfx4gRI3YhCAKFTIxsTy/q89M+TfTrfhB2HH/aiA/ZSZnE3n7vjwMnuonj7bff5r/5b/4bfuRHfuSRjvOLv/iL/OIv/uKuv7/77ruPdNyngYsLeaoNk/VKh0xSZX4yQyqhsDA12B6n1jQRxdAosm2PXFpjPB/fdbzXr07xtWvr2I7H5dNFMgmVzarOVrVDqZBkopBgcSrL6nYLURDIpFREwHF9PN9Ht1y+9d4GZ2ZzzJbSzE6k2KzonJ3NIQlhdZlT0+G11VphxYp8JoamSNSaJitbLQIf7m02UUSBmVIagFNTGQRB4L17FTzPI5tSqbcs5idSPHe+RDqhMj+ZPvBZ6aZDs2OTiCkD7Xl7zE+mcdywwoBhuXz35hanpjIsTGVxXJ9Kw0CShEgACgJ4XhBWNDNsZks7nQIUWeL0TJaVzTaiJLA4nY2+B8vxKGRikeE8lkvw3Lkxbj6oEVNlPnFlkiAIOzO4XkAxG3ssjkxFFneuSRRYnMk+8jFHhPzwJxb4wpfuYdguz5weY2Fq/2e7vNmi3jKZm0gzU0pFCVb5dIxSIUExu2NInZnJcme1QcdwcRyP9+9XKeUT2K5PXJOptwz8wMf3wsCFYbnUmgaLMzkkMdzEcG4uhyKLdEwH2/ZIJVROz2TZrukossQzp4vdtsBBt4qMSz6tkU2p3QU/4MxMjrnJ9KFVJGzX5/ZyDdsJW6umkyrphEq5212kmI3T1m0MyyWb0gYcq2dmctxeqVNrmkyNJXmw2WJls8X8ZCaaP7ATKPE8n3LDRBQExnIxRFHgzGyWBxstJscSaKrEylaL2VKaiUIC0w4rf2iqRP4JMFYTMYX5yTQblQ6KLLE4/XS1NBuxm/FcnHLdYKPSIZ1Qub/R4MFGkwunirhuOPdS8YMVzv02cPTGbz6jEQQBruczPZYipsn4vs/tlQaO63NuNjuQeDVRTKKbLi3dJpNUKeUTj/WeH4bnz5doGzaNts3seIqzs+HG2kgnSGssb7VIxhQyKQ3TdskkFNYqHVJxlWRcYbOqR2uj6/rcWWngBT5nZ8L7f+3yJL/9jfuIArx6aYJUQuXlSxMsb7RIxGROz2RRZJFCNkYhE+Nzn1jgV37vJo2WxdUzBTJJlSAIdulSZ2Zy3F1r4Hk+xWyMatMkpsrYrgcBFHPxXY7llm7TMRwySZVEt6NYo21hWC65lEZMezRV3HV9bq3UCAKYGkth2S7Pnh3jxlINURJ47ZnJ8H2eT6VhIkuhQTo81vbST0Z8MMxPpqk1TRodm4XJDJoqkYxL2Dc9FibTPNho47k+r1ycpG25mJZDPCYxno+jmw6W7XJ2Nsc798oICHzmuSmyKY3NaodcWoMAVrZaaIrMWG73d93D94Nwfd5n7B7E4nSW797comM4jOUTdAyHmLp3i/IeubTG1FiSct0grsmH6u2HUW2GFTBHY3bER41wnnu8cKHEmze2aBsOhazG195ew/V9dMNis2pSSGucncmwtN5CkUXOzWaJawpLG02SCYVzs1kUWSKmipTycbbrBrbr0TEctmo6bd3B7MoTSQqr2r14scQb728hCvDypYmTfhQjRnxk+Z7nZlnd7rC61WamlOLTz+50Dn7+7BhbVZ2tms6Z2RyFtMoXvnIfRRb5uZ96Bt0KO6yem8uTSqhde1JkYTKD6zYwbZfXr05hWg7ffG+TdELlT//A+YF1UzcdljdbZJIan3p2tw+wRxAElOsmfhAwlo0dKeApSSLzkym+8c4GkiTxyatT+753biKF7XoYpksxGzuWnV5pGDhuqJM/bALSdk1no9JhPJ9gspg88ud6uvywT2OYtm5zb71JMqZweg//2/RYEtN2aevOgI/WsFwabYu4Jg90BRzmUXS5ER8OPT+sKks0dZtWx0Y3HeKqRLrrm9uodtisdkglZOJaEUWRmB5L8s7dCvm0xmeen0EURS4vFlnZahFTJT7z4izpZDj/h8fJ2dksK1stTNslHpM5M5vDtDxWt9u0OiZ315oUM3FOz2a5vVKn2jApFRIDfueef9Dz9/ZJ9/vjitnQH7e03qDRtkgnNVIx5chj8nHM5Y8Cp2eyka9hZjw9sm9GHEg+E2OimKDaMInHZGZLj2ZbP068ru9pspik3jSpNE1euTyO5wlYjkciLrNV08kmtT07QrT1sNNnOqHien603oqiwHguztJ6M1ov7681+fTz05TrBp4fEPgBd1ebtHWL8VwCRRbZrHRwHI+JfIJMSqWQ1rA9n1I+zqmpFPfWmsxPpgfk1ZnZHEtrTRzX48xMjpZhMzWWIJ+JMZaLU2uaFLMJfuDluV3xiX6fSLlusF7pUEhrTI2lKDcMTMul3rZIaDJn5w4uNNh7b0yVQ1/PXu95wuIdR+Vx+4dGfLD4fqgXBEGoF/Rsgp6vWRJDfeAgn+BerGy2qLXMgbg6hLpBKq7i+xZ+EJCMqdSaVhQ37ddBpseTUVz9tStTJO+UWVpvoqkS8xPpqNtoMq6Q7to5L16YQDfDbhYxVSKbUvE8n7mJFPfXW1QaBi9enEBVJLZrBq7vIwCppEJLd5ifSNPsWEiiwOtXQ797/5gWRYF8WuPmgxqrW20yKRVNEXFcj2fPjnF/vUmjbXHpVJEXLpQAWJzOcG+tie14xDWZWtuClokkirt0qt1xxUE7o5SP0zEcGm2LVEJhaixM4potpbGc0PYqZGMfuarsHxfOzOa4t9bA9wJ+5BML3HxQx/cCXrhYQlVl2t04YNjxyCEZk1mYzFCuG1SbJmdnc5yeyWI7HtWmye3lGuWGSSapcmGhQEKTqLdtsimV58+VsGw37HSv2xQyMQLAslws28V2fQqZGK89M8mDjRaSKHJmNstmVefuap31SgfP9fB8n2Q8xmdfnuOb1zdpdWxeuBBuJLm/3kRTpCi28IkrkzQ7DrrlkEloGJYbzd1hVrfbVBsG0+Mpin2dQnpxxlx61BljxIhqdxPHR1Xma4rEz/zQBT7/+il+++v3+b1vPWC93OHt22Xevl2O3qfIIvOTaV44X+IzL8zsWjtHjBjxcPT0CVWRKDyFckYUBRamMnzt2hqCAJ+6On34h55A/vQPnOVXfv82AOmYyL/3w5dO+IqOz5/70Uv85b/zRRodh4WJFJ9/feGkL+mhOCwn/SgIQXByDWG+53u+h7/+1/86n/nMZ07qEo7FtWvXALh69eoJX8nxWCu3WdkMW+jIssjVM8UjB0bWy21+/9vLYecNAb7vhVlmJ0Kn2s0HNerd6qCphIJhOfzeN5eBsPrDz/zQhX2dyOvlDsubrfCaJJHZUpLf//YyHd3hm+9toKkScU3h6pkif/5HLwPw1WurfOnNNVzXp204fP/Ls+TSMS7M5w8MbEI4Wd67V406e5ydy+27kLx3r8IXvnyXIAirmP7k955Bt8I2yStbrbCiN3SroQvcW2swnoujKCKff/0UuX0cpmvbbVa2wu9BkUWunBnbt/LQvbUG27Uw8T2uyTxzuvhU7vr7KPLGG2+gqupDyYHrSxXeuL4FhHPx86+fOnTs2rbLF766RL1psl03SMYVskmVgDB5d7uuo5seuumQTiqk4iqvXJpkcizBuaFgQLlucHe1wep2G8N0mZ9MU8jGuHSqwN3VBls1nfvrTSQxNGamx1PMTRzdif7vvnqPrarOds0gm9J4/vw4fhBElWn6uwyIosAzp4sDSQ/v3avQ1h1WNpu8eXObVCLcSPLT33d2ILARBAHv3q1EbbcL2RhnZ3PR66vbbf7wjR259ennpqk2rKi17Pxk+lhJGiNGDLOXHOgYDu/dqxAE8IdvLGM7HoIAgiDyQ6/OgwCXThX2dTruh+14vHOnsu/4/cM3lsOWw0A2pfL51xf3DIQ+yWxUOmGrZM9nZavN7HiKettCECCT1Fgtt5krpdiuG8SUMHgZ0ySunB7jj76zHLUNz6c1Pv/JU/z21x9Q6W4eKxXi/OArC7x7r4LRlRnFbIwzfTKjp5P0n1+WRWZLqT13q+umw7t3w+96bbsdbVhLJRQuLxaj99WaJreW60C48fOZ00XahsPSWhMI5eCVM8VHcib/3jfvs1HRsWwP2/V56WJp11jz/VBm9lrPj+fjA06q4+gnIwZ5GJ1gq6qztB6OAUkK18KO4fCNdzf40psr1FoWtuORjCtMj6fQDSfqwOM4Hobj0e7Y2K5PMRtHVUSeOzOO1ZU5ibiCKkssTKUZzycG1sd+hvX4/rF7GMubLVa32zzYaIUbniYzTBQTH5rzc3mzxXo5nPeqEo7ZUeXGESfFo9gGwwzbrDFN4u1b23zjvU2aLQvDcvD80D60HY9YXEISROZKKS4tFknFFWoti3LdYDwX59R0hpbuMNYNZjqux7t3K1y7UwECsimNn/ieM7xyeQJBEFjdbkc6xWg9GDHi6BxXDjQ7Nu/fr0b26sWFQuTU7dcfTdPhl3/zOmZXh8tnNF6/EgYTBCEsdtLz7U0UEyxMhhuQm22bf/SFdzDtUH9YnM5yqrs52fV8ljYa+N1Cry9cKPHM6b11gF6CN0AiFvqlDkvO8n2f3/zqUtRJaHo8yQ+8PH+k53JU+vUATZG4cqZ47Ip66+U2f/Dt5bBIiwDf+8LskXwflYbBnZUGsLdPo4dpu/zGl+9GnY4vLOR55fLkocc3LZd37laidWBxOrtnAR54NF1uxAfDfrKg972ubLW4cb9GPq2RTCgU0iq/8dX7tNo2XhAwUYyT1FRMx0MUYGY81S30s1Nh95nTRURBGBgnp2eyjOXCcTKsS2xWdRptC92wef9BjVI+gSAIfPq5acZycRptG4B0QuXSYgGAu6sNyvWuTzom88zijk86CALeu1elYzgAFDIxOqbDtdtlKg0D1wt4+VKJUj4ZHW8/Hmw02ajowMPP5REjnjQep23wtDEsH/IZbSA28VtfW4pky3g+zg9/4tTA5xttixsPahBAS7eQJJGEpqBbDrrhUG1aQMB2zejKybAr4QsXxvG8gG9d30SRBMTuhlLfJ+pSK4lE3YxiqowgBhimF+lhwxvYfT8Y8CMO+9F697tffGK7pvP731oOfbkCTBUSxDWFb13fwA8CxnMJzsxkef3ZvZNELMfjnTvl6PpPTWUoFQYL8xzmLx5xcnzU5MCt5Rq1ZqhzJuMKlxcLBAEH+poP4+aDGt98dwMIfaO9uPqwbhBTJRodu3tumSAgmnPZlIppeZHPdLKYYH4yg2G5vHu3Qqe7cX2ykCSTUjk3lxvY7HTtTpm3bm4DYUeN8UI88ock4goX53O0DZeVrVY0FwUJfC+8tqmx5K777p17bbvNV99eQxQE6h2L+VIKURSZKCTYrOmM5+LENHlXPkFPB1vbbmN7PvMTadIJlcuLhWNvkhlx8nzYsqB/He0VhlAVCcNyWJzOkkmGmyIvnspze7nON9/d4PZKg7gmkc/E+A9//AqZlMrSepOtajgPb9yvYrselUavKIRGpWmRiquM5+N87/MzNHWHjuGExUlbJts1k3fubOM4PqIocHYux9xEGk2RSMQUFFmk3jJRVYm17Q6SKLAwmeH0TJZSITEQZ0Vg19wFuL1S4+vXdmTI515boJiNR3FGCHOPrpwpjjZHjzhRTlon+Fv/9A3++M0VfvbHL/PT33/uRK7hwyQIAla22rx3r8rd1Tr31posrTci31yPFy+W+As/eZWZp7Ba/Yinj5OWAx8Urudz7XY56qY1PZ58ogpMHJXf/OrSQE7R5147dbIX9BD82f/yC+j2jpz7f/5nn+DqmaerSN9f/4df49vXQ9sMAf7DH7/Mn/jM2ZO9qGMy7JM/M5sd2Gh81P0GJ+oZ/+mf/mm+8IUvnOQlfCzoOVggTPpu686RP/tgoxUGliGs7LsdOjGCIIiChQBt3eH9+7Xod88LuLNS3/+aWubONXk+d1abeF5AvW1iuz6WHQr7u+uN6H13u4FS2/Xx/ID1sg4BA9exH/W2FU0W2Gkftxe3HtSibht+AO/erWLZHr7f7bqhO7R1B9102arpuJ6P4/l4XsBaN5C8F9W+czquHzm096L/OzMsF9N2933viKeHnhMQwrm4Vm4f8O6QastCNxyM7sK7VQ3HXLNjU2maOG5Ao20SBNBsOziuT71jRkkTA8dqhhVzOqaDHwToVlj10fV8ai0L0/ZwvQDL8cLjHGFu9dBNm2ojrHDhBwG1lonr+Wz0zYn1SgfPD+e27wc02jvHd1wvkk1r5Q6W4xMEAUEAN7pJLD0sx4uctbBbBqxsDsqt28v1KKDRew4jRjxuGm2LIAC359R0fWzXDyu12s6R16thWro9MH771wcgqigVXoNN27Af/iZOiN49mbaH7XihbDIc2oaD3u0iZNlh9fDe/ZmWh2m7A+turWVRbZqRsQWwVTXQTScKvPbeN3D+rk5iWi6242F019y95CiEOkUQhLpQ23Bo6+E1tXUHx90xkvo/HwTh5/rHgO8HNDsP/325rh8Ftkzbpdmxoq4g/efpdRiLrmtoDA3rJ0/jGHqaqPbpwJ4X0Oo4VJsmbd2h0bFxvaC7YTnswrVZ1XG9ANvxqbYsXDdcpwnCKpUdw6XWNjFsl47h0GyHMsO0vH31Xd/frcf3HC1HuoemieOE89VxfaxutY0Pi347wnYO1qlHjHiaaHbsAZv17moTw3LRDQfH83C8AN8PsF0f1/cxDY8ggErTYrtmUGlYeJ4f2ZrNth3p234Q2s+bXVuip/PfW29gd+f/cezVESNGPDy1ljlgr9b71rV+/fHBVgu9bx6Wazs6rmV7rPfZAfU+/W5poxFt4AC4vbzjq9usdtCNHb1wZau1/3X2yQTddKMEqYPQTXfgHg7ykT0s/bLKcjw65vH9ZStb7Z0240HXh3AE+vXoYZ9GP9s1YyBI3Nt0fhjD60C/ztPPXj7Z4+hyIz5cGt3vdbubvGx0CwVdu13BskIfmu8H1JoW9bbV9UGHPoa73QIAsGNTNobGSf+caLQHX7vf9avXWhaG5UW+hVvLtWgDBwz6HfqPZwzNfXtIP6i1TFa32wRB0PUp+jTa9i4/xl70ywqr6wcYMWLE08uw/VAb8kv1NnBAuE7aQ+tWvWVF+lGr49Dp6ivNjk25bkbn2KrpOM6OvGp2bOodi2bHxvPD9fnuShOrXxda2YkxrlfaNFpd+ReEm92G11DTdgf8iHv5Ow6KT6xttyMZ6PsBS+st2obd9XuGsc2D4kLNth0ljcOgH6nHYf7iESMeF/1zuWOEOudhvubD6LdBPC9gtasr9x/Hcjw2anr0e71l0+zTXTYq+oCO0rvORjcXQDfCeEzH2Dsu0x+rtV2PW335DbrhsLzVxvP9MCfADPMBWm077KTX9Z0Pxw56516vdPADaBk2QQBbDZMAuL/RIgjCGMhe+QS1lhnFG2zbi+TqYTrViBEwuI5u1jqRT0A3vWgN9v2AjXIH2/HZ7G7UCHNyPO6t14FBP8BmVQ83aPgBzU64odJ2fGzHw/N87m+0orXfdsPuPBvldtd36WG7HrWWRVu3qbfD4jQQzp16K5wvPZnSs317cVZg35jq8ubO/PW8gLVu7tJAPpTn09JHca4RH2968+qj2oljGEEQmJtI88OfWOA//VPP8Tf+4vfwz/4fP8b//F/9IP/5/+ElPvnsFKIo8J33t/j5v/WH/N43H5z0JY8Y8dTSswt67JdT8yRj2u6unCL3KfSv92/gAPg3f3z3hK7k4bnxYMdnQwBffGv15C7mIRn2yT/snPjQN3H8zu/8TvTfhQsXeOONN/i5n/s5fuVXfmXgtd5/Ix6dRGynKpwgQGyPKnH70WtR2qPXvUIQBOJ9x1UVkYmh6nAT+cHqMIPXpAxc02Qh/GwqqSGJAoocVpUopHeO2dulJEsCggC5lLLrWPuRHHpPMr7/Z8YLg/cxNZZEFAVEUUCRRVRVQtMkFFkknVAQBQFZ6l7vAUpw/znD72H/3f+J+M6zlSRhVCngI8JA1w0BCpm9Kyr2k0kqSJKA0q1Gl0qoSJJITJVIxGQkUSCuKdGYEoRwvA+PeQjHoCDsjCdNkVAVEUkUScRkVFlCEAQkUUCWxIE5fhiqLBPvzgsIq/XJkki6r01UOqEiiTvLTv/clSURVQlfy6Vj3Xkezqth2aLI0kCngeHKl8PG6GQxQX+hmr2ezYgRj0pvvshyODdlSUQWRWKqiNqtkJs4xpyKjqvJA+N3+Bj9ckVVJRLxh2vNdpL01jxVEREE0FQJTZHCf1UJQRRQ5N7fwvf21sZsn4zRVIlMQiXRJxNSCYW4Jg/IjOFn2JNFqhLKUE05+PvqyRBBEMKqYNrO9fd3A9h1Hk0ZlFcCA9d6XGRZjLptKLKIpkiRPpIY0NEkJKmv7Xp88JzD+kl81Gb6A2VgDRLC7yoZU9DUsMKcKIaVnTVZRJElUgkVsbs2xzUZWRSQu2tp+J2LJBPqgI4qCOF43E9HFrvH6hGO3aNXdEvGFGRZRBLDypeKJH6oa2v/fYmicCzbZsSIJ5nhOTuei6EpoX4tiSKiGNrBkgiiIES6czImk4jJpBIKkiR2Xwsr3PW6PYmCQCaldPXxcO6K3XP07Ixk7Oj26ogRIx6eg/xT/TrcRDaO3NeRtf81SRIG7IB+272Uj9PfyLVXoR8gm9QGOvPmDugMOmCvd/WSw4ipMpq6877sQ7aNPojksB6gHl9W5TOD953LHNwhtcd+dsQw2bQ2oH/n0kd7DruPv7eOIwiPpsuN+HDpfY+p7lxX5dBXMFtKI3V93IIgkNBk4qqM0v1bXJWZyA36w5IxZde42E+GABS6vvRkQgntiO6aP15IDqzzmiIhdQVHcthX12dLK5I40KUrEVPIpTQEITy2IIT32X+8w54LdO2fke97xIinGnlYPvSvU7K4y1enDnX869dlQr/gjt8j1fV9SZJIMq5E8iURk4lroU8lpoX+FEGAsWx8wD83ltuJFaQTGsm+c6UTyq41tOdr6bGXv2M4PtEv0/KZ2E43ckGgkI2R0GQkqedH4cDu7ImYDIfEMuLa4HuGfX0jRjwu+ueuIovdON7BvubDyKWH8w60XccRRWHAlohroc+zRzalRp3CYGee9PTznl6hRn7+wXmUSw/GakvFHZ1LkgSK2RiSKEY+d1URialhzGe/2EHvHNlUeN09OyXVfV8hG56zJyvz6UE5kNCUKN4QxmiFyB80YsRhxAfWNjUaZ6oskk7ujLVcJoYoClFcSe6uSxPdjk/94zqVUMN4nCCgqWJkU/T8isVsPDpPLz6QTqoI3ZwaURRIx2W0rp+gN3dimhzaRkLXvylL0fwZzkvYy+YezsXpdeoYmJPC7tyBESM+bvQ2cRTSH49NHHshigKTxSTf++Is/+W//yr/03/xAzx/fhzb9fkf/vmb/PPfu3HSlzhixFNJTJMHdPFHyXc5KfbyU8jy06d3Dzc1fv3q4d3AnzSG89LPTOdO5kIegV3++ofMm/nQZ9LP//zPIwgCQRBE/66urvJHf/RHu94rCALXr1//sC/xicb1fFa32tiux0QhSabPiXF/vcmd1TqJmMKLFyciR+jCZAZZErG6O+OXN1tRW9KxXIwfenUexw1Y2W4jADOlVJTscXYuj+36bFZ04rEwkXR5s8XMeIoL83lWu1VlAh9mSylMy6NtupydzXJxsUijbUUtG2dL6cjBOj8R/mw5HuO5ONmURoDA/Y0mpVzY8lBTJV69NMGdlTozpRSfe20eSRKpNk0miwlmx9OkEgrj+TjvL1X4/W+toCkiP/l9pxnLha2DgyBgvdyhbTjk0mGryGRMiYzRfnw/YHW7zXguwdUzYzR1m/nJFK9dmaJtOGxUOlGgVyAsaOD7ATeTVdqGS6mQoNkJK2tMje20Lq42DH7/22H75HOzOXKZWNgu9YAkyTMzuahiz2QxOeA0HvH08tLFEpIk0mhbnJrKMFFIDIzRfDrG+NCGhURM5ftfmuP6UhXb9ijmYty4X8Nxw04VluOiyALppMYL58fIpeJMjiV3tQC8u9rg3lodxw24fKqA6/lkkhpTxURUyT8Rk5kqJljZbrFV07kwn+XLb63iOD6XFgsDLbl10wlbnUoCs6UUiizx2Vfmeft2menxJJOFJBtVHQiwbJfZiTRXzhS4cb9OrWUyP5EmCAJuLdci+XBxocBaucN4Ps5MKcVmRWduIsXLl0JFY6uqU29bpBMqFxfyrJc7iGJ4/n7Oz+dxvVBuTXTbKN96UKOl28xNpJmbePRWbrrpsFbuIArh+UcbrUbk0zGyKZXVrTbf88I0t5frEAicmc2imy6TxcRAy7T9aHZsNqsdVFlitpQiEVM4N5en3DDQFGnX3P6+F2f47s0yjutx5cwYqixi2m5UTWpmPHWsBOeVzRY3l2uhLnF+HHWftermgxoPNloUsjGePzeGuE8w4a1b22zXDKbHk1xeLO75nrmufmDaHqoscnulQUKTyCVjeL7Pi+fHUZTwefSqlPbWxu9/aY7v3tqO/ra00eLqubFQPggCpUKCO6sNitkYrusjSSIz48mB8/frJAtTGSzHQ1MkpoeedaNt8PvfXMF2fS6eypOKq0wWE91qWALTY0kEQcCwXFa324iCwEQxgeP45NIaubRGOqGwWdVp6Rbzk5koEP2wfPK5Kf74OytoisQnn80TUxVURaTWsmi0bWZKKTRF4uJCgY1KB1kSd93XfJ+e2GvnPuKDY2Y8hSiG46SYibFV07m72kASBZ49W+TGgzpxVeb8XI61io4qC1iuz1gmzng+Tku3mZ1IsrzRQlUl5ibSxFWJszNZ8ukYpu1yZ6XBZlWnmNW4+aBGLqVRGtJ9zy/kWdsOq1D3xu5RWZzOoCjhJiI/CMgkNcbzCb7+zjq66XBuLv9Y1tp9zz+VQZVFbNdnopDYM+Gr0jCoNEwSMZnpsdSAM2nEiA8a23b5zs3tY82Hnp6bjMs09bDK3ZmZLJmUiuP73FluUKnpmI6LLIvkkgkURSYZVzg7lyUVV1EUkVxKJZ8JCyOkEgqu5/Pt6+vENIUri0U+8ew0mbRKs20xnotTyCT48lurrG23mRpPMVtKEgQCpXziQHt1xIgRD89Y1+e1VdWZKCYHbISezd3WHU7PZKm0DX79y0vIkshf/LPPIiBTb1ssTGZIaBLX79fQVIn5yXTfMVKcns3ype+ukUko/OyPXebuWhPDdriwkEdTJb57a5tcWmNxOsuv/tEtbNvnlcsTnJnNRcc5P59jZSusojk1lhxIyN7P3pBlkRcvjvM733iAJAp89pVZ1rbb+/o79sPzA1a3Wl39NDGQZNXTQ5yuHvAwtvjZ2TyO67NR1hnLx7l0am87ZZipsSQIYceRfFpDNx3euL6Jooi8eGEictZnEirf9+Is79+vkdBkXjg/fqTjpxIqZ+dyVJsmCU0e8C0Oc2Eh3+2AcHxdbsSHS7r7vebTKsVMjErTRBShlE/y/PlxltaaWLYbJvmqCrbngSBwZi5LTJNZr3QwTAdRFFivdAj8AE2TSMaUcJNn31fvBwGCGHbrmRpL0tbj3FyuM1tK8+L5Eg+22hQyMb7vhVkCgR17YDwcQ57noyoSpu2STaqcm88jSWLkMzdtl4lCAtP2EISubSOECYalQoJ0QmGikIyOdxCnp7OsKG0c12fykLl8e7nG0vrh/ocRI5523r1bYb3rG3/u3NHWjicBx/VZ2WqhdjegJ+Nh/G1pvYnTjWN+9tV53rq1jSgIPNtdF2tNk3LDIKbKzIyn8P2Atu6wMJXG8wLub7YoZuNMj4uUawZLGy3OL+SBMOH0yuIYMU3C8XxmSinuLNcRJYHNis7N+1Xy2RhXzozx3LkiN+7XyaRUXrk0Scd0uLPSIBlTuHKmGMkrs+vPg1DfqDZNJEkkHVe4tVyjbTjEVZlMUmVqLBnFJ4Z9jTPjSbIplXtrTRanM3z6uWnevl3m/FwOSRQo5uI8f4BukIwrnJvLUWmYxDWZqeJufSARUzjf5y+eKiZZ3mxh2i5j2fiHUnHZtl3eeH8Lw3Y5P5dn9gP0A404Oc7P7+icUcFDBC6dKrBe3tvXvBfXbm+zWTWYKCZ4/twYAkR2zdRY+Pm9dIPV7Tam5UaV+QWRSGZY3Q7Giiwy272GTFLlzGyWWstCVSQsx0VTJUr5OGvlNm09zBW4OJfn1/7oFrWWzUwpwWuXp5DFsFDOpVMFCpkYq9tt0slwYwVBQECY0yIJAq4fEAQB79wuI8thQbzZUpozs1kK2Ri64bJebjNZSPDixUlkWWCikGBtu4MfBMRUmbbhUGua0Xw9O5djdbtNJqkSEKApMtNjyagb+XAsst6y2K7rYcyoL/9iL1zX57u3tqi3bE5NpTk7lw//7vmsbLVxXZ+JYiJK7B9xcuyX63MYpXyCzUqH7brBM4sFXB+qDZPpy0nSCRXdcilkYhQyMSo1g0xK4c6KgyBIXD0zxWQxnENnZnOsbrXZbhi8eGGczarO9FiCUj6c/w82mnQMl1NTGXJpjdUtm42KTj6j8uKFcW4vK0CApkqMZWO09HCcl7pzOpdSOTubpWU4FLNxRElgLBtnqpjEdjzqLQtRELAcl5sPanzt2hqzpRTn5/NcPRuunVfPFAmCgFrLYq6UYnYiTUu3sZywy2E+rTFRSB6pCOyIER9lqt3uNMOFTD7OTI+l+K//wuv80996n1/5vZv80998n2RM4cc/ffqkL23EiKcKTZE4P58Pc4FlkZnS02cLiqLIp56f5ovfWUUUBT713MxJX9JD8Z/86Wf5H3/lbQBmxuN89pXFE76i4/Nf/bln+At/86u4HqRiEj/3p5476Us6NtmURhAE3FmtM1FIUMo/nE/vQ4/K/5N/8k8+7FN+pFhaa0btexttm6tnx9AUiVrT5MtvrUaODNf1+fTzoZARxbB12Ealw4ONFivbbb5+bZ10QmF1u40ghM4Du9uGuG04A07iy4tFFiYzvHuv0m1FaOEHAQuTGRans9xeqVNrh9c0OZaKrsm0QgOrd02eF3B6JjtwTf2cnslGrwO8dXMbw/YwbDO6ps+9trDrmdTbJv/Lb74ftWv6R1+4zv/tz70MhC1VV/raol5YyO9b5WZ5sxW1jxzLx/m+l2YjAy8VVzjbF8zusbLVYqKQIqHbrG93kESBhBZWA+oly/3LP7gVtcrZrOr8Zz/9HOohlQIVWWRhKnPge0Y8fYiiyIsXSgN/W690ojFab1moirhrjE4Wk1Eyxx98+wGO4/Ngo0VLt3DdgJgmk4yrJGIqrz87veu8m1Wdr15bi1qp5tMar12ZCs9f3jm/brrc32ihyCLNjs3/8ls3oooWG9UOf/IzZ0nEZDzP5/2lWtTG17BcLi8WyaVjfOaFWQC+8c561KK1LJicXyhQa9k4rk8qrrJR0VndbhPXwjnWkw89GbA4vSMLIGxbvrTejJ6TKGYGEkyGubxY5PJiEdfzeevWNp4XOkYt23vkRE7fD3j/fi1qp6abDlfOjD3SMUc8/dRaJo22TSqhcm+9wanJLKIoUK4bLE5n6RhhS76DNnJYjsfNB7Wo1Zrj+pydy0UbAPYiEVP55NC8v3G/htVtndfWHZ47YtJQo23xx2+uROu2Ybl8/0tzu963stnim+9uALBR6SAALwzJNgiDz9dul6P3xVR5YJ3vEW7GSlNvmXzjnXWCAB5stqm2LK6cHqNjulydze2ZqJ1KqHz6uRkqDYM7Kzut9i6eKuD7AQ82dtqzn5vL7RnE3Esn2Yt/9Yd32e62cV8rt/kLP3WV1FDnkyAIeH+pGukkcU3m6tkd+bBW7uD7AcmYSqVuMpG3H2kjx3q5w/xEqC+4XsDidIa3b5ej83dMh6tnxkjGlX1lpnTE+x/xeBBFIdqMVa7rfOXtcH2uNk1sx+OZxTEEATqWy9p2m47p4nkBjXadU5MZMkmNWstkYToMqNzfaJHPxPH8gKvnxvm1P76NKAps1XTWyx1euTxJvWWhyOLA+NcUaddae1QkSWRhclBP/eKbK9F8Wy93+LFPLe6qrPe4kCSR+cn99eSWbkfyoNdyffYpdCCNeHr52jvrLG+G+vV6ucOPf/r0gZVWa316btTmPB3jwWYbBLh6epxa06LRttCEcNOjJEkUszFOTeewHZdG2+5+TqOYCSvPvr9UZa3SwTBdDDMsEHDl9Bg/9Zmz3FtrYrseb97c5M5yg3RSZbXcwfdLe679I0aMeHxs1wx00yWVUOkYDuW6MdAtY7KYhCK02ybv3qkxMx6uYb/3zVX+8p9/BQDH9XjrVjmq6PNgo8X5+TAR5/56g2+9u4kqS5i2zy//xnt830tzJGMq15eqrG63ySY1Ah/+f79+DUkIk0JWt1v8x3/yWTKpXqe3/XWF/ewN1/X5zvvbpLs68u9+c5mLCwVgf3/HXjzYaLJdM6LPXTkzFlXR3EsPeRgunSoeefNGD0EQmO4mmemmy+9+807kF+gYDj/8iVPRe6fGUlFC2nHoJdYchvoIutyID5/e9ypJEq0bW7QNh29f32Qin+D8fJ47qw1sx2ez2mSulEIURbZrJmvbOo7r02ibeL6PbnpIksD8RAoQePnSJMubbWRJIhmXubVchwBUWeLb723guAGpuIphuTx7bpxPDgUkh8fQ0nqTSsMkpsrYro/YTWxe2WqxUQlt4VrL4vJiMeosAvDK5eNXeTvqXF7dbvP1d3b8D8Au3+qIER8Fbq/UePPGFhCOdUUW9y2G8qRxZ7VOs2uPSJLAxVMF7q01urHEMI757NmxKG4A4bp5a6XejVfsxBvp3vJmVUcSBHw/wDA9tmo6iiRi2z6qKvGTnzm7q0rmC+dL/A//7E2W1hqYjke1ZTKWjSEJAvOTGURRIJVQyWdie/oIbtyvYTld/aYbjzRtl2u3y7R0h7XtNqmEwvRYCkEQmBpL7ulre+dulXrLIp/WqLcsvvXeJtmUxmRRRlVEnjs3fuhGt3w6FlUW349+f3GvaB+EcvqZxeJAp6YPgq9cW4829R7F7h3xdLKfzpmI7e9rHubGUo23bu3ECDRF2jOWsJdusDid5a2b29Hc1FSJS6ey0bXttemgmI0jCgLVhhlu5LA93rlbwTBdILQvfvOr99ioGli2S+2OiSbLzE6k+fTzM5E/cz9d23Y83r5dxrRc7m80ScZDueD7AYvTWZodG1WRWJgKPz+Wj3O1Gz88P1/g/nqTzapOrWlRa1lcOV0kEVNQZJFTQ3kBnh/w1q3tyOYwLJdnThcxLJdby335F91z78d3b23x/lIt+g6ScYWpsRR3VxuR77Tetnju3NiROjCO+GA4KNfnMLZqOoblkYqrdEyPM7PZPTeENnWb79zc4s5yE9cPcD24dqfC8xdKTBZTyFIYQwjzZQQmCklmSilmxlNUGkZ0bfW2xdu3t6k2TTwvQFNFvv3+FnOlNC9dnCSdUGl0LKrNKuWGQblh8OL5EsVcnEI2/G94vt9aqtMxHAB+/1vLWLZLtWVxe6VOx3RRZZkLp/KIosjz53dkiON63LgfxlVFQUAQhH3jqSNGfFywHC+aT0fxMX2cEASBP//5S8iSyP/62+/zP//aNeYn0zx79unZRD9ixJNAJqkOFJ1/2ugV2+7l5a5ttxnPHa0A1ZPEP//tm9Gm33Ld4s0bG7xw4enqxvGL/+gtfB9EAXTL4+/8s+/w8z/z4klf1rFY3myFfnlgvayH+vX54/uvP/SyRa+++uqx/hsxiG450c++H0RB03rbigwnCBMxhzGsnoMiTAzxukmi2zUj2sABYbWuXgLpwGeDod97P5s7P/t+gNl9zbDdgWvSzZ1rPwzP8yOnTO+avKFr6lGuGVGyIkCztXPvw+fU+651mIHXgsF7POwzve/BtrtJ3X2f7f8uLNujadiHHnfEx4fhMXnYuKu3bWzXx/MDLCf8tzf+K3Vz7880rYH5W2/vPUd008G0d87fC7RAuMmipYdj13H9aAPHXvcwfA6C8Br6z2W7Hqa9M8cPkw+75/LR5InteHjezs0fJAOOiuP5kdMUjiYrRnz06a2FfhDgOOEaZjkerhfgdxfDw8afabkD6+/DjC2vTzcAoi5cR6HXTar/973oJZj2qLd26xx7va/aNA48f6NtDzio9a6DqV+32I+9ZOnw83vUuVrvux/H9fe8b9cLBnQSw3IJgv2/U/0Rril8Ljvftd0dd8PnH/HkUm/trM+u69Pprm1BEK7pPf3c930cx4++20bbwnX9bmcaME2HRsfGMB3s7vx3XH9wjf+Ax0K/vhsEQ3rAh8ywPHgca/+IEceh3t5ZP4Ng//W0R//8tGxvYB1vdNeaZsvGD8J1JggCTNvFD6DVsWjrO3O90bFxvJ2NfJblhZ0zCeeC6/k0Ozau5+N5AbrhRnp9+NrJzd0RIz4u9Pv1YH/bdrtpYvXpdY0+2TLst+v3y61ut+l3n/UKwUC40bFfV+y3+V0voNY6WF+Hg+0N03YHXhvWB466Jve/Lwg41BY4CTqGPeAXOEzWjxgB4Xy3HA/P9/H9IKw227bw/NDP5gcBLcPBDwI6poPthuu4aXtYTmhr+j50DI9O3zwxLCf0sfXP/dagT69xhDHar5MEAZHfbsCW+JDnZL8Mgx3daMSIjxr9azI8XWO9f932vFC26UMxw/5YHxwcbwyPOagfVfuej217AzGMfuotE6/rh/N8qDTN6Nw9ubsX+8UjLdsjCIg+Z/clUu9Hv/8wCAIqjR39ynZ8XG/vOOejMCynPwx/YPOYdu+Ijy+9IpDR782945h7cZxcgX6G/aDDfvztbgE6PyAqrhMEgzbXfphdW8x2QvnQs396cq82dK7hfI3j5CI4rjdgc/RkY393kl3H3IN6a/C+etfYL2v9ITtvxIfPcK7PcfzrxhH94c2WhecFmF2/hON4+AFRkdPws3v7LPqPadkehuVG8XfDcgdsBN1yqLes0CcZhOtE27APHO+91zzPo2040dx3vQDH8XbJkh7mAf6RESM+rvTW2l6XvBG7+ZkfOs9nX5nDD+Bv/dM3duU0jBgx4qON5weH5kk/DRh9saYggPeXqid4NQ/HsK1yZ61+MhfyCAz7r4dtwqPyRPSebrfbfPnLX+YLX/gCX/nKV2i324d/6GNKf/UVTZFIxsJKdBOFJFpfd4e9Wtfm0zEQwna+shS2Oge4eCo/sEMul9Z2VarPJFVkaWe4FPquo5AduqZ4r3uFGp1j+H2HIUliVP0PIJtS920FOjueJtv33oWZnZ37/TuLRVEYeN8w/dcny+KR2ob2jp+KK0iSQCIugxBWQO0x11dJoJiJkT/gGkZ8/Bgeo4ftVp0rpYipIpoqkUmGcywekxEEODuf2/MzU6Ukal/1lPnJHflQyIRyASCXVgfm9pm5nbGbSihRBW9VkUjEdho5FfeY2/3nUGWJqVJy4F6TMYVcX2Wmw+RDPh0jKlAlHL1qQEyVifdd63Hk0H6oskgqsWPwfhjtyUc8+fTWTlEQSMUVUgmVVFwhEZORRBFB4NDqL8m4MtBt4mFanEriYJWZTEpFko6m7o3n48S1nfPv151htpRGknbW5LnJvSvMLkxmIvkiCDA3cXCVzYliIjp/XJMpdne79+sW+5FPawMyIqpY13f+R60Gd2p65/qzKY1SLrHrPcqQ/pBLawPV9fr1OEk6XOYfhDj8XSdVEjFlQD4VPqBOCCMeD5PFnfU5rslMFsKuW7IkcuFUnlQiXL9UJVzzY2r4+6mpDIoiosgiqiKSTmjMjqdIJ5RIB41pMoVu5x9BYGDN/SDolxeaKlHKJz/Q8x1ENqkOyKhRpaERHzbzffMhrkmM5w+u3pJL7axhqYRCurs2hJ2iwjV2diJce2OaiCyHlexVRWJyLBVV8A87/SQjXaKUT5BJqaiKhCQKFDMx4prMeD5OIiajyCLFbCyq5B9X5UPX6hEjRjw6hcyObSsI+9uTU4UU+fSOrrjYV5U1HlOIaXvbDRfni8T6/IPnF/I7xyymBvTqszO56OdMUqVUPLxzxEH2RiImD9jcp6d2qsEe5pPrp3/tVmTxkTrXfVDk07EBvX92/PhdN0Z8/ChkY6QSCrIU+vVSCZW5iRSaIqEqMookMp6PEVMkxrprdFyTyKRUkrGw24amiORSGqX8jq6fz8RIJ5SBqvRn+uZ3Iq4wfgR/WLFv7qnKju+rf07KkhjpKh8Gc6XUkfwPI0Y87cxPZgb8Wk9Tx9R+GRGPycRUeeBvmiqR0OSBzxwUb4yO2acv9VeYL2RjA7GJfs7M5ZCl0A8bUyUWJjOR7hPXZGLa3p/bLx6ZjCuoikgyJiMIAum4siv+N8x8nz9UlsWBbgW9eM7jZlhOfxgVUef64j+Jrp05YsReLEymB+yf/tjhYRwnV6Cffj8LAmEXs+7voihweTG0kSRRCLuET6SJaxITxd3+/mGSMRlNlYhrMrK0Y6v05uFcKTUoz4c6/wzkIkgH5yIMx0V6tmMqMZR/cYjvs/+Zy7IYdYnu/1xMk4jHRom+J8lwrs9xdIFcWhtYN/dbp8bycRKaTL47DuMxhZgqsTiV2zlWajBPqDdO+mNwqYRCNqWFHTO7sYdiX/XqQibG3EQ68kmGHT7iB47V3muSJDE1liQVVxCEMJ9A0+R9n0cipgw8t4eJq44Y8VGjt0E8n4kd2gHu44ogCPzcTz/L/GSaWsvif/pXb5/0JY0YMeJDZNhu3itP+mlgqrCTjyHLAp95fuoEr+bhOD+X2/lFgM++PHdi1/KwzA75rx+2k7wQ9JcHPgH+wT/4B/zSL/0SpmlGlYrj8Tg///M/z8/+7M+e5KXt4tq1awBcvXr1sR7Xdjxur9QxLY+xXCx08h1ArWniuD75TGzASL95v8q796qIAkyOJbs72wNiamjY5NMa79ytsF3TaXQrds6Mpfjel+aQRIFKw0ToJkfvJZwsx6PesoipEtmURqNtsbTWJCAgm9RIxhXyGQ1JFPjyW2tslHVSSYUrp4tkktqRWxduVDqslTtIkkA+pWFYLtfvVbE9n0unClHb0X7abZMvvrVGPCbzPc9NI8s7ztiWbqObLpmkGhqT+2A5Hm/d3KbZsZFEgWxKo2M6xDWZZEzh7Fx2zzaizU5YOUCRBBwvIBlXBlrKe57Hmze3sV2PFy5MEldHrUifZt544w1UVX2scuCoY7THvbUGjY5N4AUYloPr+cyU0uTSGg82WqHTcTzFZk2P5Eo2pbGy1SabVEknVZbWmmzVdFRVIqnJlIpJxnNxgsBnab1FXJOZKCT40purGLbLixdKA7LJ83wqTRNJFLpJKDsyY2m9yWa1w53lephcVkzSMR3ausNEIcHCVIbxXJy3b2/zzt0KqbjK516bj9oU74duOrR0Z9cca+o2X/rOCh3DZXEmwyuXB9uDuZ7Pu3cq1Fom4/kEZ+dyA4nyPWpNk/sbTQQETk1nDkz49vywitZe9z/io89eciAIAt67V2GjopNLa8yMpxAQ2Kh0KDcMJgoJLi8WD1X+Hdej1rTwfZ9K08JyPIIgQEBAU6Vd47el29xdbeD7AXMTacZycXw/oNIw8f2AetukY7hkUiqnp7OHnl83bZbWWyRiMqf6kq6GqbdMVrc7FDIaU2P7J1FsVnXKdYOJQpyxoU0P796t8O69Cpos8annphjLJWjrNvc3WiTjMtmk1tV3tCO18e7JCNf12K4bCAiM5+NIkojtuJTrJqIocHomSzqhRvqGIoucmcmSOCRI0Wib/O43H2CYDqdns8RVlWRc5sxsbiDw7PsB5YaBKAi7dCrH9fhuV9dIxGQ0VT7y+ffC94OoUlgxG56rJ59EQaCYHcmnD5LHoRM0dZt73db1huWwWdWZGkvyzGKRP35zhffvV5kuJvnElalwzUwoPHN6jH/2OzeptQxK2TjPXSjx6uVJ1isddNPFtj0mxxIkYjJffHOVluGQSahcXCgcur4dh62azupWG0kSOD2dpdIwWSu3CYJwU9ridPbEWqmalkujYxPX5Ke6neuIJ5/95MDSegPddDk1lSYRO3wMRnpuNxmpY4bV7CsNg3rbotIwuLNSp96yyKU0FEViqpigkImzVdPRLY/nzxVY3dZ5924Fzw+4dKpAQpNxfJ/T01limkyrbaMoIrOlVFSpv2M4bJQ7TI4lWJzOHfneO4bD3dUGjuczO56iVDg82WHEiI8ix9UHPD/g3btltmsG4/k4z5weixKRXM/nzkqdjuGSTamI+Pzut5fRFIk/+T2nyWV25pnj+tSaJooskogr3F6uY9ke4/k4iizw7etbFDIai9NZ/sXv30I3XV68MM4nnp1meaNFJqkyN5HmzRtb6KbDc+fHScX3lle+H3B3rUGzbZNKKCxOZaKuQz0dtIft+txZqaFIIqdnsnRM90j+jmu3t7l+v4amSLxyeYLljRYd02VxOjOQuKmbDndWGziuz/RYksniTqCibTjcXa3jeQEzpRSl/M7zanZs7q2FdtP8ZJpi9tETDU3b5e5qg5gqM1tKHcu3O+Kjx0GywPcD7qzWaXUcgiDshnV/q0W7bTMzkWK2lGat3EbXHTqmiyQJjOcTzIwnCfyA5a02bd0hlVDC4guqjGG5rFc6bNcN6i2LREzhtWcmGc8n0BSJXFrj3loDw3I5NZXdM+H5xlKNL7+9imG5PHt2jFcvT2LYLo6z2w5vtC1M2yOb2tlcfhQ2Kh2+em0dz/N59sw4F07lD//QEEf1P4wYcdI8qo+gXNfZrBqM5eJMPCW69YONJuW6ie24zE2kmSgmIx9ZfxxTEgXeX6py40ENWRJ5/vw44/k4125XMG0n9NkP+dfahkPHcEgnwgTTnu1RyMRZ2WyyXtbJplVmS2lOTWUi/9eX31rh/lqTTEqjVEgwUUiQ0BQK2djA8YexbJfvvL+Nabuc6tM/Hmw0ub3SwHFdai0L1w04PZPl5UsTqHvEGKAb49zuYDkuqiwR02RK+QSpuMzdtWaksz3OzToPK6cfllrT5N988Q5t0+HliyU+cWX6Az/n08AHET/8KLBd09mq7R0jOIxerAN22x4QdiLcrOpoisTp6QwbVZ1Kw2Sr1kEURDzPp1RIoioipUKCbLcQ0m985S5r2x3Oz2cZyyVZnE7j+3B3rYHnBcyW0tHmpErDiGKvi9NZGm2LW8t1mm0LTZMopGM8d36cmCrj+wFv3tzk/loTBIH5iTS5dIzTMzuxmd58zaW1PWOV/dy8X+Ur19axbY/FmQyTxSSnZ3KoskitZUV6317025e265GKK8yWUgOx2GrTxHX9Q2VkPytbLbZqBpoicWY2+6HInKeNh5UFvfhYKq6wMHU8m7J/3UzEFLZrBitbrch339twdHe1xtu3K9RbJnMTGV44Px4Vg+r5+jqmg+14rG63kSWRM7NZggC+8/4WtuuxOJXhk8/OYFgujuuRjCtkkyrVpoUkhXGxluHw61+8E8YHi0lEQQABzs7mePFCaeB8jueTTaqsldu4XsD52Ryr5Q7VlsFUIcn0eIrx/P6yo98/8jCFF/tznhYmM6PijSMeCyepE3zl7TX+23/8LS4u5PmbP/+ZD/38TxP31hr8X/67P8b3A/7Kz77Ka1eevgToEU8uI9vgyabSMHjnThkBgatnx57K9f8Pv/2AX/qV7+IGAZfmc/y3f/F7T/qSjs3aVpu//EtfomPYTBQT/J1f+F5U9enL7ag1TdbKe/uvj7rf4EStql/7tV/jb/7Nv8lnPvMZfuqnfopSqcTW1ha/9mu/xt/4G3+DfD7PT/7kT57kJX4oPNhs0dbDFjcbFf3QDQ97CY6WblNv20wWEtxda4QOQtsFwmTFu2sNxnPxbitMAcP0mCymyKQ0VrZaLE5nD62UoinSgPP49ko9apNYbhjMT2WQRIHrSxUebLQAqDY81sudIwcvDcuNPuu60BLDAGzbCJ/PWze3mRtyMACkUjF+9FOn9zxmOqEeqavGg40mECZYbjRMdNOh1rIYz4cJscubbU7P7E5ozSTVA5PDJEni5UuT+74+YsRRx2iP/gSGHp7n850bW1Gr1a+9sx4lLGxUdLIpjWdOF4HQydLS7bA9qgBnZrKYlhslVFxeDN937U6ZfCZGvnuMUiEROeMkSRxIiOhRbZpsVXXWyx38IKxq8/6DKgRhV4y1SofJYpJ62+LmgzqqLGE7Ht98b4PPvXbqwPtOxJQ9k5y/+c5G1I7qxv0aU8XkQDeiTrftaiKm0DEc7q83OT8/GDQOA+qNqEXareU6L10s7Zv8LInCnvc/4uPLds2gY7ikEyqeF+C4PpIoYDke6YSKbrpRcvZBKLJEqZDgxv0qHcNBNx1WttrMTaRwPYUHG03Oze2M3zsr9ajV3721BtmUhiKLjOfjrG63oxbg1YZJKq4MJDntRSKmRjLgIHLp2KEbrwAmusHSYeotkzdvbAFg2x5fu7bOn/ieM6QSaiSrjksiphBTZb5zYyuay+uVDs+eHePNm03oyse7Kw3OL+T79A2fe2vNQ897f6PF/ESGRtvi3lqLxaksruezut0e2E0tHiAfljfDBHdVFrmz0mB6LEkqobK03jzScx9GFIWoAnuPkXx6usgkVLIpDcv2WCu3kUQRURD5o++s4HkB5+cKOK7H7dUm5+cLAPzqH9xCkgRkWaLathEF+Po761EgQ1UlpsZSfOPd9SiAUW2YpBMqru/z0sWJR75u2/FYWg/nlePCndUGz5wuslXTCYKw7ejtlXoUkPmwiR1QYXPEiA+DgzZC7sWwnqupEm/e3IYgdCQurTURBBFREtEtl6QoYtoeb9zYpJCOkUqofO3aJrrl0jYcLNvj2p0yz54d59RUhvF8nI2KTgDYTrhp+8ULpTCBIL+3fXEYd7uJoQBLG02yR0g+GDFiBGxWO5hWaCOYlsdmtcN016m71qe/b1Z1OqbD8+fCdfv+ZmdgE4cii9HmqVvLNTpdv9l6ucOFhTw//unQR/YPf/1dDMtFEODNm9tcWiwM6L0vHGGt3qrpVLuJU/WWxYam75t0qMoil07tHP8o/o5Kw+CtW2UgtA1+++v3eWaxSCoeJp6M5eLRMZbWmxhmKHsedDej9OTn3dVwE0Xvfblu1yIIfZiu63ff1yCX0o7csXA/Yqoc6fC3V+rH8u2O+HixWdWjSph+EG66tywPRZHYrplMFZNMj6Votm3urNbxnABZFGgbLqm4QiapkUmG4+nUVJaO6VBvhwVhbtwPE6J10+Vb723wZ3/ofLSB9KD1XTdtvnJtlXLdAOA7N7YpFRJcXCjs+f5sSuP42gJ89a019K6+8K33N5ibTB5pg2s/R/U/jBjxtDOWSxw7ufkkabQtNio6AKIoYljeQAJwfxxzo9Lh/ftV9O4a/s6dMpcXCwRBgKbINNv2Lv9aaqiQ09m5PJ4f8J33N9ms6tTbFi3dRlNk0gk18o998uoMMVWJfIPluslLFzOHFjnpFZZLdvWPbCq0bzYqOqm4wvWlJrWWxVg2zt21BoVMjIun9paZk8Uk9ZaF6/l4fkDHcEhMySxvtQd0tmxKe2yFJx5WTj8s33h3A1kSySU1bi83ODube6rG74gPl/F84sAE7IMQRWHf/IW2brO61QZCH/+1O2VAoNayqDYswoCAgCB0fegBke3wY3vkFLx1a7ubRwH31hvhxnpR4O5qI4q9vnevjCiISKJA23BwfZ9iJs799SYXFgps1w08D+IxlUrDYLNm4HcL3vRiQ0edr6bt8q3rmwiEMvedOxVyqRj3VhtcPTt26Ia/fvtSFARKhcQuneq4HYxbus3adgcIn/mDjdaueOuIh+dR4mP966bjetxbbwz47p87N45uOpTrFtNjKabHUqQTarSBA3Z8faIg8J0bW+RSGp4U8AffWmaikKDaNEGAcsPk3lpjlz+hv8DLG+9tdouPxbl5v0oxF26ieu9uJSrIcHd1x7f4reubzJXSJGMia5UOL1woHbl7Vb9/5GHoz3m6s9rgxdTTWY17xIgetWbow3saE5I/bBans/zU957hX/3hbf6///oaz18ojWIcI0Z8DPD9gHtrTeJaN66w1uClp1Bm/uPfeA9JEpGAu2stvvzdFT79/OxJX9ax+IdfeAdZFsmmY5i2z6/8/m3+3Ocvn/RlHZt8JvbI6+7j79t6DH75l3+ZH//xH+fv//2/z+c//3leeuklPv/5z/P3/t7f48d+7Mf4x//4H5/k5X1oeJ4/+Lvv7/PO/XG7x/ADCILwGH5A5KgkACd6T/g3v3ser/eeYxAEwc6xIer6AUTJpD0c9+j3s9ezcLzB6zvO8Y5DzzjrPY/eeXq/u94Hc94RIx4HfhDQ31fJGRqvvfEbBAGe7+/M+67M2Gt8+0Nzzz+CrNg5z87vgQ89seZ7Pq7v75rHjvPw82v42ofvffi697qPYZk2/DxHjDgM198954bH5nHWEdfrrdXdf7vj0Rual97QWuz3DdxHOf8HzeOUAf0Mz2XPD8Jkrb7H5vbLwN7fjvBsBr6ToF+fOrqwcId0sZGOMQL6xkVvrfTDjWA93ToIgoExYrleV/kOf7cdH9vdPd9tx+/q6N2/dcf+42jE2JsHPXrH7T/0cebGiBEjBvH65pjr+l07PyDwg2i+eV645vXmnWV70TwMCOVAbx66bjCw9vmPQRYM2O7Bblt+xIgRe7NLn/cGddcevh8MvubtP2eHX+tfg23HG3hNtwZ/PwpHsakfheFrtO3B3/v1oIPsoYHXguHXdo4xbDc9Dh6Hb3fERxd3YPwFA2M8IMBxu+t6nz7tBQFe31reo1829H6OPuMHu/zy+2E7g8f2PP9AOfOw2EP6guOObIQRIz4q7PI7HrD29TYz9PD8AMseWjuPIIN69k/vWF4Q7PKZPKyffy8/av/f+u0r9omnHHa83Xrg06svOO6gvmY9Jt/uiBHHwR2aU71x2Mt/cIfi/ofN24GYQTfHot/vAkQ+2Chu4w9+1vMGr6FndzyM/991d3y7wTHuY8/74Why9tBreoJjTiN28Lwh373XGztDcTF/eC3uX/d6/v7QTrF7cr87Joft+GHsvnXC8weP3YsP9o+fcL7t5Bg8bpt9P8K8icfrMx0x4qSpdjdxHHej3seVn/ncBcbzccp1g3/7xTsnfTkjRoz4ENgrp+hpzGsY1uUqDeOEruThsYZiQe1u8Y+PIye6iePu3bv8xE/8xJ6v/cRP/AR37nw0FkjfDzAsd1+H3PR4KtrNnYwr+1aWsh0Pq88g8jwfw3JxXR9VlkjEZIIgIJMKq9xlUyrFXHisbFIhE1cQBFAVkWRcJpvSkCSBqW5V7qZu09ZtHNfDtFzc3vG7/zquR61pYtoulu0xUUjguGEy9lguHlW0OzeXJ9Hd6a/KEpcW965GE91H9/n4ftC9/7CymCDAzHiKZ88UQeg9qyTj+cTOM31MQrTRNpBFAVEUyKU0UgmFiUKCVFwhmwyf0/TYznNq6vaxjt/WbRpt66Gurff8H8VgDIIg+i5HfLTw/YBGy6TZtilmY3TMsHL/udlc9J5+uSIIAjOlFMmYjKaI3Z3kATPjg+2cPD+gmIvheh6241HIxPbsgtGbix3Dpt4ySWgSsiySz2iIYrjbcHIsQTqhgADFXJxCJsZEPsFYNtZNSgs4N5+PlCLTcjFtb985rpsu9ZYZOXOunC4iSaGQKGRjzJUGK4JmUxrJmExbt3E9n6mx5K45KUniQIeEmT65fBj9Muxx47g+pjWopLhe+LeRE+nJYjwXB8FnebOBbXtMFpOUComoUoyqiMTUcBz2Y3bX12FmxlMIQjh/i9kYkigQBMGuTh79c7eYi4VJHH6A5YTtuHvn1xTpsXZnOEy32YtG26Kt23ieTyqhRusqAlxaLDzyWtfSHW4t1wYq2M2Mp4jHFMbzcWzXw/V8ZktpkjGZXFrDdjx832e2lDrgyCGz4ylc3yemShSzoUwVBaKKV3a348FwMn0/02NJRFEgpsoUczHSCRVBgMlC8rHO696zHvHk0NOzhwmCgHxaw3U94pqE5/kIQsD5+RyCINDSbRIxhTOzWbZqHaoNnSuniwgiaErYdaeY0zg3l4vGTyalkoornJ3NIhBWiU4lFIqZGOm4MmBP9Mugo6wvvTVPUaSoymUQBIxlY4iiOFABbli3GDGin57NOWIfey+AhCazXdNJagrZlIIsCSQ0mWI2hiIJxFSJ2fE0qiLiuB4vXxwjoUpIAiiSwMx4inRSxrJdirkY08UkluPhuB6FzO6KctaQv8E9ZF2bGU9Hdnohu7etMGLEiN2M5+MIhH4iUQgrVVpOaHdPFBIQBLT71v/tukGjYzJTStFum9xbq2MOObKnxpIEQWgDJOMymaQa+fVevzpJb7pPjSU4M50+sn+oZzeP5eJRFTpZDtf7h/GNAWxU2jTaYTChJ/9K+TiTxUSYHBkEvHZlIkx0dzxSidAv12N6PNlNVA/tnf4K3TOlFJ7vYzsexWws6jYKMNvnJ5goJlDkwap6wzLwuEyNHc23exJ8kD6LEUejVEggdnV7PwiYm0gRBD5btQ6SEAAB2YyMIovk0hrJuEJclZktpZnq2pBAOB9SGqVCAlURKWTDuaPIApoicW4uPzD2ej6lfvuwF0/IJDVOTYeV6f0g4NR0hunxHX9DuWFQfQyBv6tnxiJ94dRUhmxqZz7v5fPaec2LbBPzmD5t03YPTSr7oDjonkaMeNJ41JhRLh0j2V2HRVFgspCg3jJpdexo3emtQWPZONNjqSgZdLaUYnYijSCEGzFkSWSyeLjfUpFFJooJMgkV3XRIaBK+7yMI0OpYVBo6Ttf/32N6LLSDepswev7MYTtsqpiMYgyqIpLUQp0qmwr9jLPjacZycfwgIBmX9+1K1qPn2wXIplQySZVSIY5uOriuH8n0Yfr9NN5QHNR2PEz76DLG933qLfPAz/Tk7HGL5105MxbdX6kQZ+qQ7++41z7i6eZhYgewex0dHjfDPu9MUo1iAaIocOlUgbgW5j9oqsTcRApNlcinNVTl4Er9zbaNpghYjkvbsEnEZCzHQ1XCzum26+G4Pudmc+TSGomYTCImR/6V6bEUrusjSyKSCLl0eA1hd8DBc5u2S61pYtkupuXSMRzqLZNG22CrqkfvSyVUTs9ku7kdEguToR9mppQ6ko40UUhEHZJimjTQ0bv3rHsy0HG9SIc6yC7SZCmys0RROJb/93HkO4w4HNN2ow7u9ZaFbtrMlFKYlosshWPBsl06poMqC3heOLZ1wyYZV7A9F9fzmJ9I4bihfX1xocCZmTyqIpGMKyRiMufn8zvrffe7rTYM6k2dWtPk4qkCAuFYOzubJZ+O4QcBiZhMvpsLNFva8S2emc2iqTJ+EJBJqvjdOOcHQb+MEgSB2b5xPDWWfOSunSNGnDS9TqD5zKhD7FGIqTJ//vOXAPiXf3DrofP6Roz4ONGzNfWnNOG+lx/Y7Fi0Otax8gOfJF6/Mo3leli2Ry4d44dfmzvpSzo2P/qpUwiEG4bjqshPfu/ujokfF+TD3/LBEYvFaDQae77WaDSIxZ6cgNfD4no+15eqGKaLLIlcPJXfldyQTqg8d24cx/WIqfKegmGt3GZlM2wJOjWWpJiN8f5SDdN22a7rlHIJtmo66YQa7qwPQifq/EQay/H41nsbWJaH5XpcnM+zMJXhzEyOZFxBlkS+9d4GN+7X0E2HTFpjqpCgpTsU0jG26wZjuTjv3i2jKhK66XJ6JgsCBH6AKAq8f9+iXDfIpcMksh//9GmabZNMQkVV9x9mpuVyfamK4/poqsTlxQLn5nIYVvi8VEWimI0z2U04KWbj2I7H9aUqlu2hKiIXTxWIHXCOw/jqtVW+/N01ggBOT2f4sU+fRpFEHM9HkSUcN3TSyJLImze2ePduBYDLp4u8ONQmci+u3Snz1s1tAM7O5fjElakjX1tLt7lxv4bvB6QSChcXCsdeOHw/4OaDGs2OjSgKnJvL7ekcHvH04bg+33hnnW+8t0HgB0gCJBMqjY7NwlSGU5MZTs9kKGTiA+NmeixFNqGyXdfZrpncW20yP7ETSDVtl/eXqpTrBts1g8mxZORE6cf1fK7fq7K82eL6/SqyKKKpIlfPjDOejaEqIts1E8vxmBpLkk2pOG7A0lqTmCYxW0oRAOWGzupWG8NyUBWZasNkZavFWC7OWDbOpcUCajdhZGm9wVfeCufrZDHBD7w8x+xEmj/5mbMYlkM+rSGKg84V3w+4v9Fis6qjKCK267Gy1YYAzsxkef3ZaQDmJtLdRHyOLFNM2+X6vUEZNpwM8rDUmia3V+oEAZFsbXZsbi3X8f1ww975ufxTqUx+FKk1LH7ld2/T1m1iqsxYPsbFU0WePTuG5Xi8davMb399CYDnzo1x9ew4d1cblOsGCLA4lR1oC55Lazx/fhzL9rm/3qDaCh0GgjD4fU8Wk+QzMSzb5d5ak2u3yzQ7FjFVRlUkJopxxnMJNFVGekxj5Si6zTBfe3uNO6sNHM8jm9SYLaUpFRJcOVvE8wJWtztcu10mnVC5sHD8cb282eC//9++i265xDWZ/+SnrrIwlYnmsiAIYYUgIRRngiAgCuHGmGAvAbcHA8cQBAiC6Oe2bvM7X7+PbrkkNJkf/MQCmYS66xiphMrz58exHQ9NkbAcj47hcH+j9djm9TfeWefWch3YGWsjTpZvvrfBzfs1YPA78f2A9+9XWdtq893b21i2S7tjc3OljiIKVBpmdwOYwFu3tqm1LDq6zUQxbDf+Mz+8yFwpy60HdXQzDM6cmc2STqi8t1SlUjcQBDg7n2M8G2N1q829tSZv3S7z/S/NoZsO27VQBhUzMWotC98PyKZUzs/nd8kb2/G4fq/aDWCKXFosMpaLc2u5xkZFp9IwuXSqwEQhgSAKo5bDI/Zlq6aztN6EIExmXpzOnvQlnRht3ebGgxqeF9p7FxYK3FtrcG+1yR++8YCO4aBbDglVRpREknGFVtVBNxxWttvMllIkYgrNps2tB3VsN3SYFrIxZAluLNVJp1Q2qjrT4ykMy2WrquP7Aa4fcKE719e226F+TJgMkE2q/M43H6AbDnFN4gdfXdhlQ47n42RTKq7njzZwjBhxDGzXZ2mjSVu3SSc10kmVRjtMRMokFe6uNzFMh3rHYqva4fZyE0GE5c0md1ZaOK5PIaPxf/5Tz5JK7RRriAjg5nKdVp8P6C/81BVaerhZ4uZyg7buIIoCFxbyoR9xD969W+HNm1uR3fzqlSks20VTJN6+XY58YxdP5Xn50uSR7v1X/+AWt1bqCAK8emmSdErF88JEyF7yj6pI5NNxNiodAmBIHUHs6eG9m+1DQIiq5A7r01NjSQrZGIEfENMG7f2VrRZr2x0AZkspph9iI2omebhv9yQwrNC/47g+MU3i0qlitNF/xIeH43gsrTdZ3W6xut3C90Nfv+d5+L5APrPGRDHBn/uRCzxzeg4BECUx0qd7YyuuyQiCgCZKXD07zla1g6aIdAyXXEbllb652PMpXV+qUm9Z5NMalxYLiKKI6/p0TIeO7pJLhQnKn7gyRb67AeQ3v3qPt2+XAXj5UonPvrLw0Pf+zOkic5NpPNcfaClfbZrc6fq88hmNc3P56LVy3eDuWoPAD2ibDum4emSf9v2NJpsVHQRYmMwMbDL/oKm1TG4vD/rxhm2qESOeFHw/4Mb9Gi091BfOz+cHiqIcBambMG3aLpIo8MdvrrC61abatLi4kGdyLBlW0vYDNFXimdMFgiDsRuF6AdeXKvh+gAhcOIJvsUcxG+fXv3SXrarO9aUqmYSCIApYtk82rTJZTPKDL8/z7Nkx/CBgab3J2naHgLAquSAI2K6HKAjIkhj5IlPdOO1GpcPadpt371UpZGNRkqoii7Q6Nm/frqCpIg82W1zqxlf3Ip+J8fz5cRzXJ67JGJbHl767SqNto8gCn188tUtf6PcVT4+lKNd1bMdHUySKuRhr5Q4E4ebAU1OZA5+T6/r8/rcfsF0zkCSBTz83s2vjSRAE3FquU29Zof9oLhetBYexOJ1lohDHsLw9YzL9bFQ6PNhoAWFMZ37y4Gsf8XTjeT7vHTN2AIO6QSETI5VQBsbNWrnD7eU6CKFudPXMWGTT9OaoIksUMjFM2+WlSxN4no8sCrh+cGB85I33N/iDby1Tb9u4rk8xG8P1AuYn05yby4Ux0gAQQxnSy2N4/vw4nh+gyCKeH/AbX71Hq2MjSyKfem6KVy5N7Dr3ernNH31nhY7h4LoBpUKcla0WHcOh0jAZzyc4N5/jp7/vHECUfH9qJsviVIapYhJZErnxoEazfXDcPxFTePbcWBiL6LuGesvi9koYZ8ylNXIplaWNVljIw/GZKCSYGksOyIx+eQEBs6U04/nEkW2LZsfm5oMw3+FhY0AjDufBRpONSrgR6P2lCitbbQRRoNq0KGbDseb7AdWWydp2m1RCZTwf55lTRa7dKeO6AZmkEm7oblnUWibnZvNcWizy4sUSL10sYTkuqixyZ7UZbQAUBHj3ToXVcouW7jBZTDBbSjNXSmH74TifH0/xe99apq3b/PqX7/I9z80wO5Emm1Lx/IC4JtM2HK4vVVhab/LmzS3mSmkWpjKHbpw8DnvFN6fHUxSyMQjY5S8YMeJppNrqduJ4ggqMPOl87wuz/Nof3+HuaoNf+b2b/Mc/efWkL2nEiCcW3/f5g28vs1HREQT41HPTnJp6+uK8794t8533t7rJQ09ncco3rm9EnQHXK52nMs8+LGbsE/i7O1J/3DjRqM1LL73EL/3SL7G5uTnw9+3tbf7u3/27vPzyyyd0ZY+PSsPE6O48cz2f9XJnz/cpskgipuxpsAZBECVUAKyXO6xstnA9n0bHotVx2KzptHQnrITXsWkbDookslXTufWgjueFQY96y6Kph46BjuEgSyK27XKjm1jW6tg8WGtSrhvUWxZbNZ2WbrO00aDWsmi07fD3tQaVukG9bdHs2FQbJp7vU29ZtHQHVRYZyyUO3MABsFnVIwPPsj22awaCIJCIKVHSNoRJj8VsmNy6VdOjdjq24w9UpXgYvvnuZhTkvbvWpNmxUBSJREyJvhdZCgNc796rRJ97727lwGrbPd65U45+vr1cRzePXqlwbbsdCam27lDrKtzHodEJvyMIHea9wPSIp59y3eDmcg3X9bEcj3sbLbZrYVLW/fUmAPWuE2+Y7YZBvWWjyCIB8HbfON2shsGBSt2Mqj1VGya66ew6v2G53F9vYtse5YZOo21TbRncWmkgItDq2Nh2WOmql6QMUKmbrJXDylgCIpWGSb1ls7TeoN62cFyfSiPcALLZN8ffuVOJ5utGRY/GcyImU8zG9wwWLG+1qDbN0JkYwBffXI1yPe6sNgYq98Q0+VibwoZl2Fbt8bUnW9luR/dab1m0DYfVPpnQbNs0OqNKAE8K/+5rS3RMJwwauh6/8dV7AN2KLQJ3VurRe9++Xcaw3DAoBxCEiUPD9DYSdswwWaqXZDmMpki0dQfL9giCgI2KTq1bJWKzYjzWDRywW7dZ20e36dHWbe6shpt2Wx0n+lk3XQgEGh07Gtct3ab+EBUu/t1Xl9C7VboMy+V3v3E/msumHSasqoqEIoksb7VoGw7Vptl9NuKAnrUfy1stZEnEsj3K9VBfCfwwEHl9qRqdX+8mSu2HLIW6hdT9d7tuDMzr3pr9MOimG23gAKLEmxEnh2m70QYOCL+TXiepetuirYebeDwvYLOio9sezbbFylYby/Vp6jb1tsfqdpu24eD6Ads1A88PeLDeoa07UUXGIAjnWG+OVpsmCAKu67O63aHcCPVI1/V54/pmuIEDIAg3HffGYWOfcbhZ1aPqVz0dvGM4UTt2x/VDB4EmjzZwjDiQ3mZagO2a8bGuVrxW7kRzqK07rG+3qTZMbtyv0Oo4tA0H0/Kotiws26dcM6jUDFwvoKM7rG132Kzo4Xy0XJq6i2F5tHSX9bJBs2NHiQB3Vuo0u7pjtWVFa47vB6z06RerW+1wXTNC3d+wvH3XNbVrN48YMeLovN8tSqLIErrp8O3rOz7Rb7y7geOEr22U21y7XUEUBQQEvvidtcj2rDYtvnRtLfrc2nY7TOxWJLZqBuvdOe37oT8xm4ozW0rT0h3auhO9tpdt0ePt29sDdrNhOiRiCkHAgG/s/aXakXxj6+U2t7o2URDAF7+7Esm/ct1gdbtNJqkRU2Xevr0d3U+r4wzYvStbbaRucnu9Fcq4nddaUUGY7Vror+hHU6RdCRnekJ9spc/mPi4H+XZPio1KJxo3puXt2KAjPlSuL1UxbZdqM/Sbb5Q7WLaP4wU4nk+jbWLZHn/0nVUSMYV4TBnQp3tjq39DgNRNxlJkKexqHQgDOvzKVhvDclkvd6IO2998dyPqiHt/o8l6uU0ipuC4QSQ3DMMesCPfeH8L2360CriZhDqwgSO8vlbk86o1B6tqr2y1IAht6/XtDpbjRfLsIGzHCzdwAASwvLnbz/JBsro16Mdr6c7BHxgx4gRptC1aen/M6HC/2F6IYhjL264ZbFUNWrqD6/ksrTdZL3eodP0Qlu1x80ENVZGJxxS2qnoUCxQEgWrj6HGv797YpGM42K5H27DZrBrUmha1pknHcGm2bd6+UyamyZi2F+k+9ZbFavc+t6o65W63oX5fpCyJVOomvYpW1YaJYbndWKFEtWWRiIW+RMN0o/vbD0WWIvl980GVtu4giQK+D9eXagPvHfYVv3u3jO104w6OF26g7cqYrT7/zH6sbrcjv4/nBVy7s9tH2OzY3YTsUD9bPYJ/tJ9ETN03JtNPv/zeqOh7dqUe8dHhuLGDHv26QbVpcrPPx31/vRHlMRAMxt17OQW94mo9uaR1/RWqKoe++AN09G+8u4kfhLKxqdusbrepty0M2+X6Uo3l9WYUW1jZakfn1LrHVmSJOysNWl1dzPV8bq809jz327fLeF5AqxPG9967V8GwPJa32nRMF8v2uPWgzkalHek2qYRKQpXZrhmoikSzY9Ns78jw1QNkeBSL6LuG/jhjvWVx40GNwA/CLpBtC8f1WC93Brp8tA0nkhcgUOnFXI/IWrk9EAMaVTl//DiuH23gaLRN3rlXRZJEAj/gjfe3qDZMTNtjq6rzYL2F4wYYhsuDtRbv3CnT0h0M2+XBVou1bZ1Gy4JAYKumc3e1ge36pJMqY7kEtbYd2ZnhRr0mmzWdSsPCtDw2qwYrW23KjbDgq2l63N9sY9oeoih216XQr6AqO91dmh0L3wuoNAw8L6DWtnaNxUdlv9ytmCqPNnCM+MhQa4Y66rAdPmJ/RFHgP/ixywD81teWomc4YsSI3axX9EjnCAK49hTmoxiGzVu3ykiSiCSKj8X/eRJsNwZ16r/yP37xhK7k4fn1L90DQUJTFSw34Ne/eO+kL+nEOFFN9Bd+4Rf4mZ/5GT73uc/x+uuvMz4+zvb2Nl//+teRZZlf+qVfOsnLeywMOwUepv2eIAhIohAFNwWBqLqLKIT/yl0nmSiGJabFblBHEgUUWYiOA0RGde9aRFGkW8gORAGRnUp3crd9sCJJA8dX5DCZVBTDStbdstZ73vNBDAc2jxLolIYcgo/a0lCWxWhTiCCAuk8VfVFk4HuQJOFIu6AkScTzdo5/mENz4LPD93qMz+57DOnJCSaPeDQkUYhkgYCAJAhIfY7K3nv2YrhbhNrnbOt9RpAE8EDqzm1R2Hu+SpIQju2ejJFEIIgq3ftB2LFHlsRItoiiEM6p3rHF8G+SIILgD5yvf8wOV7ZSjpAkqgx/pv/3Y87JYYafyeNMlN+1fojCrr/tV+lrxIdPXBv8LrS+OSaL7KyzhGtqbz3tBd/2k81HXSf7/y52517v749b6h93HIqiGN2rKAyOY0naPa4fZh5pymACqdbnbJWGnrUsig81lyRRwGVHn+p/xsMBi2G5c9hxB35/hHV6r7E24mTp6dVBNNfFaN2RxMF1LtTJA3y66yIQiOH6LggCYhDgdV8DUBVxTxnR0/2EPt28f50G0FRxcF5Iw/ri7jE8PDZH69KIh6UnT4GuLvbxtU+G7703hxRZgp6ZTfg/QQznseB3TW9BCGWKJCCIAoIXdGVOODcj2SIIiEK4/olDa1i/fPC7gkoUBZSh+X4UnXvEiBFHY1hPlPv0SFkWCbq5CaIkDdiqw+twMrZTLXvAFhAF+vcg9H/uOD4muc+XhbBznQ/rGws3pffpqX1ypd9+AXbp1v36xUH2kSQJOL0FRjiaXSF0j9FLKBIFYVf3j6eZx2FrjXh0lL75Iwggdod/b50Xut+LeswuKXvp5z16fjdRAL9beV7u+ikEumO9935hR/+XJCn6TO+YH4RZGcqfneDowFwWRcCn96e9/IN7scvP8iGP990ydjTfRjy5PExc7iB663p/vCD0Ae68R5ZEXG/H5uhf+48zX1S1T5YhdGVrNy5KL8Y36HeBnp3Ui6vuf35REqBvD9ZB1ykfw4c3HI+Rh2T+sAw7SB/qjwHvh6oMf373+4d9Px+UT0cUBHx24tujLkUfbQ7STw783JBu0G83iZJI/2EeNS9gmN65dnIjQr+pJHTjF33n2z/mOhQf2seP0ntfbx5E+R5dGyucI2Guwn66zcM+4/3eH+V8dH1DQtcmEg74zHHPuV98ecTjQxR24hCSJEbxdwj9hOHaG75RlEIbuGcPaJoM3U2PsihGPkg/CMLxL4Sxpx7DdkdvzohC2Mm+t873r3WaOjgnevlL/UiiGG3wDIIgss8f57rxOHK3Rox40qk1w6TewmgTx7F4/vw4Fxby3Lhf41f/6Db/0U9cOelLGjHiiWTYfzls6z4NfFj+zw+bQi5+0pdwbNQhuymufQS+iIfkRLXSc+fO8S//5b/ks5/9LNeuXeNXf/VXuXbtGp/97Gf5F//iX3D27NmTvLzHQjEbYywXR5IE0gn1yO13yg2Dr15b5fZyWFnizEyu2wpU5MxsjrnJNOmESjETY6KYIB6TGMvGiKsypXycqfEkqiJSyMRYnMqSTqrkMxqnpjIoikgypjDenbyyLPLi+RIrWy1M02GiEAcEpsaTTBSTzE+kOTOb5excjmIuxsxYiqmxJPm0GlYINxyKaRXddJgoJkjGdxIpHddjq6ZTbZqU6waVhkEQ7ESTp8eSZFMqkiRQyMQo5Q9vcT5RSJDPaEiSQC6tMVlI4Hk+2zXjSDtiHddnq6ZHVR5+5LWFsNuA6fLs2TFcP8Deo4qNKIq8fnUKTZXQVIliJsY3r6+zXmmzVdMx7b0ryH7yyhRxTUJVJV57ZvJYVf7nJtMk4wqSJDBRTISV1Y5JJqkyNZZEkgQSMZn5oZaTy5stri9VjtUhpKXbYUeUQ6r9jPjg8LzQ7X1+PkcurRHTJC4v5ilmNOKazJXFArWWycpWi2rDwHLCudjs2Liuy80HVeotg5XNFqbt8vKliejYU8UkMVUiFVOQpDCYHNMkqk2TrZoedeQYz8UpZmNcWMgzloszN5lhoSubxrJxLMejVIhRrhvcX2/y7PkimWQ4d+cn05yeyaGqEqIYdtKwbJe4JpNLaRSyMabGwzE/UUhG1/baM5OkkyqiJDBTSoWdRPpkSg/ddKJrnZ0IWx7Lskg2pfLT33+WhCajqhKvXp4kEXv4/Yz9Miyf0XbJsF5Ho4epEnJqKkNck5EkgdlSikRMYWEyE1b7kgSmxpKkE7vb3Nt93/WID48/8akz5NMqLcNGVUR++PUFKo2ww4Kqyrz2zCSqKhHXJM7P57i7WqeQiiFLIpoqUcrFd8nVRtvCcjzGcjEkSSAZV5ifDGW4abts1fSoWmUpn6CQiSHLIucXckwWwlbWZ2ayuxzi7a4Mf9jK58VsjEwyvFdJFA7VbRIxmVcvh/c/UUhw5XSRlmGTTakUMjHmJnbWusliYs/W34fxZ37gXDT/Svk4P/NDFwHoGA61lkUhrXF7OayaVSrEaek2Y7kYHcPB8TxUWeT6UoVa0xjQEfo5M5NlZTvseDQ1lsRwwjbtM+MpLp8eY7KYRJZFJotJnjkztu+19tbQRsfi+lIFURAOnddHZXisvf7s1EMfa5ggCKg2zagLxIijoaoyr13Z+U4+9ew06+U215cqCKJAIauRT6u4rk8upRLTZPJpjVPTaRRZQJFETNtBUwRUKUCRBDJJFdtxkUURw3KQpTBZO5sKK9zeXa1TrhuU8jEKmRjj+TjPnxvn0mIBWRYpZGO89swUpyYzkQx67coU8e44nB5Pkorvrqw/UUiSS+/o4BPFJGO5OIVsKKMyqVDnHDHiME7PZNFUCVkSOTWZ2eWg+Tgx310DO2bY8bLaMvF9n0I2xkQhQSEbI5NSmcjHySYVZsZSpBOhHZ7QBHzPRwzC+e/7HqmETDEbY3YsxTOLxfBZK+HmxVRSRgB02yEIfKbGkqQSKoIgcGY2u+NvmMnyzOkxpsd761qCK4uFk35UI0Z8ZHjmzBiphEy9bZJJqnzm+Rk6poNpu3z25Tk2y22+9s4aIvD9L87Q6liYlsOf/9FLZNMqAQFnZjJ88tnp0A/WMiMboWXYzJaSnJvLIUkC8ZjMqclMdO5cOrS1W4aNIIQ+p1pPv/P8ARvjk89OD9jNPV+WKIq8enmCthF2C3r50sRAYobvB3v6/wrZOJ96dhpNlkgmFH7qe89GNsDcZIZz83laho3n+ZGd3tOPY6oU6eiL03128kRqoBvQ6en915cgCKt5lvu64IX3I7A4ncGwHAzLYXE6g26Gz8GwXLzu/VSb5p6+h6PSaIe+gQ+78vT0eIpMz+/a9VH307NN9vNpjnh0dNPF8wIc12OymKSQiRGTRQTBx/chpkqM5+IUMhqZlMqvf/k29Xbo3zascCx2DCeaq27fXB3LxIjHZHTLIabJSN2u3L25kklozE6kScZkUgmVH351HlkWaZsOlxbynJnJ4ro+xWycmVIq9F/5Pj/46kKY/BsEfPLqNKbtR3Pi6PftDPgQe5jdexrPx4lp4Xydm0gPzOXFrq6YTmhcPVskpkm75NleyJLI6eksshx26zk9kz3GN/XoLEylB/x4yT1sqhEjnhSyKY3JYmKXv/FhmSgkuHgqTyETI5/RWJzJUshqKIqEbjnk0xpXzoxFa9L8ZJpMUsG03Mi/0OhYfOWtVb703VXqLTOKKfZ8UG3DYb3SJqkpYSKoKFDMh3bTWC7GmZksxVzYfawX69BNh45ps1Xr4LgeU+MJynU98t/1+yJ9P+xStFnpsLLdxHY9UgmFjulEOsBsKYx9SJIQ+kP2SYxrG84u3+uF+TwzpRSyLDKej/Ps2UHfoecFuK5HpWmiqRIvXSgN+GBevjSBpoRyc3EquythvNkJ1/RebHNqLMWFhTyyLJJOqrx6eXLXdabiCoVsjLVym5ZuszB1sJx9WM7MZlEVEVkWOT2THRUA+QhjOx6e50e6vCpLaIo00D2vn/5xuzidGdANLp3KsV3XWa90KGZiXFosoCgicU3ik1emcL1QP1krhzHuOyv1gbhYrWlyfanCdi2sEtzZY172+JHXF0gnVaaKSU7PZDk/lyOfVrEcj1culTg9m0M3HSzb5fRMJjr3dl1nq6azutXC7coMWRYpZuM8f75Eua5zfalCpbHTDe/ly5Pk0hrFXJxT0xlee2aSXEplcSrDZDFBOq7y6eenKWTjyJLIwmQG3XQwTIdMUqXWNEknVMbzcVqGje14JGJK1F3pKCxMZfCCgJZhM1FM8MzpIrbrkUlqTI+niGkyp2eyA8ntiZjCbCkV2pmazKmpTBR33u/cm9Xw/utdm/VRY0AfZ4bjgXvZt5bjkUmqeL5PIRPjB1+ZQ5MlMkmFH359nrgmU2uZOLbH3HgSWRJxHI+4JpFJqEwUEsQ0mbNzWV68UGKimCSb0jg9neXMdIY7Kw1uPqjhuj5TxSQBAavlNuP5cO2dLCYpZjQySZXZsRRjuRiJvhyXZLdDTttwUBWRV/ZYl8a7sYbpsQS269ExbVJxBct2ozl8HJtkLx42d2vEiKcFz/Ojjrb5zEjWHgdBEPiZH7oAwG9+bWnUNWrEiH0Yzyc4PZul3jbxfJ/Xntm9pj/pqKrEJ58tcfN+lZv3q3zmuQmkp3AXx2uXxwd+/4X//SsndCUPz3/0J66Qiiv4QcB0Mcmf+ezTuVeg5/Nu72P7HgUheJQI1MeMa9euAXD16tUP9DzVhsE/+Y3rWN3A3ve9MMtrV/dOwtNNh/fuVbEdj+XNFqV8InK6GpYbtctNxhVmxpNh+9EgDFJeXixEAZL/9//6BhsVnZZuoSoSr1wKE6V/7JOLu4Kx796rYJguX3xzhZZuIyCgqSKffWUBTZW4crqIJIm4ns87d8pYtsfyVot0PEwsG8vFH2sQxfcD3rtXQe+2PpwoJPZ1Nrqez7t3KlGS7OxEiqW1JndXG3RMB8f1eeliCU2VuXqmuO+Owd/86j3evh3emx/4/ODLC8TjMs+cLh5rk8ZJc+32Nm/dCltbxTWJz3/y9KEJ7ds1g3trDSAMjl05U/xYJV698cYbqKr6gcuBg/D9gOtL1cjxKYhhAtfKVhvH9VmYSrNe6XDrQR0IN2q9fKFEvDvfv/TdVdbLbTYrOrIicnGhwCeuTPK9L84BoeP0xv0qW1WdWsvqK/QSkE/HKBUSXFgokEnuTjRutC1+82tLuN02qvfWGrS61TumxhL8X/+9lwAi+VBrhm3MGx2LjuEwnoszlovz+dcXd1Wj6hEE4f33WqGP5+MsTu/IlLZuc32pShCEVUcunSqQeoSk6IdldbsdtSDvl40fJLbj8c7dSvT8T01njrQ5bsTx2EsOvH1ri7//a+/g+WFyxquXJ3n+fIlMSuXiwk7i49J6gy+/tQZBWDHpRz5xCtcLdsnVSsNkebMFhJXTrpwZiwJcpu3y7t1KVP32zGyWYvZou6prTZNbK/VIF7hyunjsFsGm5fLuve75BTg7mztyNY9q0+R2txW6JAk8s3j88+9F23C4fq8SzfuLpwr4fsCNBzU8z+cPvrUMQhgQzaZUXr0yxepWi6likvVyh82aQSqu0GibvHi+hKrKzE+Gjucev/bHt7lxv4br+fh+wA+8PI+iiJyby5FPH+3+y3WDu6sNXNfnOze2SCVUZEng4qk8L196sg3ce2uNAb3y8mLhY18572F0ghtLNb51fQMIK/FOFJJcv1dleauFYbnhJux0DNvx2Kh2qNRNbNePKlgWc3GCABzPJ5fUyKRVfvCVBeYn08yOJ/nl37hOuR5+T+dmc/z0D5z7QO59xIgRIY/DNri/0eRb725wf6MZ2qROwPRYElkRSccVmh2bZidMuF7d7tBoW9i2h2GHmwk9P0CRRDIpFQGB586PMTcRJgJs1w2+/N01ljdbWLaDKIpk0xpTxSQX5vO8duXxbfYbMeLjynHlwHq5zR98eznSW09NZSLf01feXuVr19ZDA1yAmfEkihzqyvMTKV59JpyzgrBTqRVCe8F2QhtQkUN7Yi9/1rC9qCgiTvdzkhhWSA58DtXxf++bD9iodAAoFeJ87rVT0WvX71WjJJ5iNsaZ2dyhz8TzfN65W4m65E6PJ5kthcmkjhv6DpzuNQ/r6Efl9kqdaiNMjE8nVC71bU67cb9Kox1esyyH/ky6348kClHV8If1Z66XO/vadidJpWFwZyW0QyVJeOp8mk8ae8kC03b5t398h/sbLfwgQFNF1rd17qzW8bwASRaZG0/wY58+w9ffWWd1u4MghH6u/9NPPcuD7Q6+H7Bd10loSpT45gdB1LWnN/97yYSTxSSiECZIdwyHSnfcpxIKk8UEt1cafeM7HO+G5dLSbUr5BIIQJhrf32xhmC4d00E3HcZzCURR4NKpwqGbE1q6zft7+OV6cQzfD30Jx7GlR4x4GngS4gZPAs1OKAMebDaxbI+5Upq5yXTkvx9e92dLKdIpjV/+t++wWm7j+zCei/HsuXHy6RjJuML0WJKbyzXeuVNhZatFx3BQFQk/CJgbT5NOqbx8aWLAB3vjfo1vvbdBrWmyUe1wejpLtWmRSakkYwrZlDoQg/jmu+t8+burbFQNNFVkopDg+bPjqKpMIRPj7FzuSPdfa5nc2icOux+27fKFry6hd+M9z5wu8sKF0pGf+UDMTha5cvpoMTvTdvl3X76H3k2IvXKmyPPnj37eEbv5OMuBYVtjophgu2ZE6/6F+fxA4v5WTWdprQnsPW7/8I1lVrfaVBoGqizx0qUJcmmN8/N5PM/n3XsVGi2bN97fQJIkTNtlYSLNqeksmZTKmze2ovjFi+dLtE3nyPOyd26AQjbGqalMFI/MZzR0M0wof7DRJKbK3FltkIzLpOIqr1ya5MKp/C6777OvzO9pxyxvtlgvh7ZVXJO5fLoYdQroxUKbHZsHmy1iihQmymfjNDsWhulyf6NJIRsjn46xOJ1lPH94nGit3GZlsxu7VCSScZlqt2p7Mq5w6VTh0E4ZtuPxzp1KVMBu+NzDcbDPvbZw5BjWR4HHKQv2igfWWtaAfTtTSnHjfp/+vViMijR5fsB7dyt85a1V3rq9jeeHY2s8F2OtrCOJArmUxpnZbBSj6n2fPf39uze3qDTMsHBMKc2V00X+6M0VCMB2PWbHUzQ6No7jMz2W5N56I/JJnF/IoykS3725zVZNR5ZEXrlc4uxsfl/b/g+/vcy9tQblhkEmqXLxVBiLiqvykW2SESNOmpPSCSoNg//gv/4dRFHgX/+//sSo89ExCYKAX/jv/5jbKw3+d589x//xRy+f9CWNeIr5qNoGHxU78t//v/9WpONnUyr/8K/+8Alf0fH56f/i3+x0Jgf+1n/6PVw4+3QV5bu31uArb+/YDZ9//RS5p8xfbFihvh75vGdz5Ptia0fdb3CiESPHcdB1fc/XdF3HcR5+d8rTzK0H9WgDB8D7D6r7vrfesvD9ANNycVw/CpRWGmYUpIGwwsRmRY9abvp+QK0VGuT1tslGJfweLNuj0bZxPY9Wx6bWGuxsYdouhuni+R5btbC6v+V41Fo2bcPGsr1oV1FLt7tBpADT8vquzeBxYtputIGjd+/70dadgSrnlYbJg24g1eg6XTqGg+v6B1axv7NSB0LDVDc9yk0Dzwtotp+uyvf3N1rRz4blsVntHPqZSnPn+3O9g5/TiA8Gs1txosfyRhPXCzAstxt89bi5VIte7+gOK9uhQ87zPJbWm2FFySDAsj1My402fECY5B0E0NRtbNej0bFpdML53NIdgoB9u96sbrcjJ63juix3HZ0A62WddreaYE8+9OTCRlknCMDsyqBehYC9sBwvUqZg95yvdq8fwrax1SN06Pkg6Jd1lu3RMT/4ypYt3Y6ePxA58UZ88Hzr+haeHxAEwcCmjGbbHujEcn+9Ga3FnhfwYLNFdUiuNtr2wLjtnysAjbYdOWzheGO80jQHdIH6Q1SRqLetnfMHxxtn/fPC8x7u/HtR22PeV7v32uxYoQPZ9bFdj42Kjm27mFY4L7dqBqbpYLsehuVR7epHw7JlaTUMKoX6lhPKqWPef++7auo2HdPB6lpVDzbbB33siWBYr+wF20ccj6WNRvRzWw+DffW2RRCEz9UwXdqGw1qlQxCA7Yadt/wgwPECTDvUqX0vrJZmmB7Vht7V/a1oAwfA3fXGHlcwYsSIJ42tqkG9beF6Ac1OWAlet0K7dHW7g2F5YWJm3aDZtnBcH8vxcNwwYdPxfEzHw7TD/+otm1Yn1CWWN1ropoPtuJhdfcK0XBzHi+zgESNGfLg82GhFeqvrBdxd3Vmvr90p03vR9wJWt3d8NHf63qebLpX6jm623OfbcQ7wZ4WdOXdsk+U+OVBuGBg9m/UAHdd2/WgDB4QyzO52cbAdb8BuqRzRTumY7oBu2a93tnU72sAx/Npx6LeZQn9EeD6va3/1WNlq4XdtnXBT7Y7f+mH9mf2fsx1/wJ9xkvQ/y6fRp/k0EHbLsfC783p1q0O5ruN5AT4BnudTrptUGzqrXb9dEIR+hO/eqURVdZsdO/K3l+smhrHjX3rQnf+G5dLWnWi+RDZxl7busFndiQ1Ydlg5OXzNjuRGEMB6pRPJg5Zu0+qE5w7jCYfPwb3scwh9CVEnnABqzVFVyxEjPorUmia262FaHkEQFl4ZWNuHfEqVhsnyRpN6x8LvLvlr5U4klzpGKL9sx6fRDgtBhT+H8chm1z/3YGPQvnmwGfrxmh0bxw19KNWmSat73P4YhOf5rG13Ip3AtD0qdZNa9/fjdOSqNa1j+163aka0gQN238thDMTsDolt9rNdM6LEGxiMF44YcVyGbY0Hm62BdX84htFvb7iuv6ubw+p2O8x/sD2auo1hOdRbFp4foFuhb7/eMbEcn1bH6m58DefCjfvVgfjF+0vVwXnZOnhe9vQyCO2dcm1njq1tt6O4quuFnQhcz4/yFHq+3/t9dl8QsK8Ppv85GJaL0dfFzHZD28FxPGx7x9Za3W7huD4d08Hzg2jO98uCg+iXyZbjsVbese86xmAexX40huJe1aFzP9hoDcTBlkc+qIdmr3jgsH27Ve0MjLf+GL5huRiWy4PNJr4PjhuO362qju36eH6Aabth7LJLbyzVWxau60XnMyyXct3g5oN69P12dIf1it4tfBqwVdMpD/grmixvtrAdD98PsB2PWtPeN67p+z6r221M2yUIwvuvNHbW76PaJCNGfFzpza1cShtt4HgIBEHgz/xg2I3jN75yb1d30REjRnw07Mi7q9UBH32jbVOtP95c5g8DZygF8R/91rWTuZBHYGkof+5ptBsaQz7vo8bFhjnRTRx/9a/+Vf7KX/kr+7721/7aX/twL+gJYWyoSsJB1a171asVRQIhrJgAYbWGeF9la1kSSSUGd6T3Xk/FZGJq+DlJElFlEVmSuq2UB6vXK7KEKApIohS2QxVFZElAUyTiqoQghBXnAWKqHFYHlAQkUQivse+aHxeqEl5rj5i2f4WZWPcae8Q1OeomIEsikiSGnxcYeH7D5NJhtRBJFJFEgUy3yv/jvrcPmoFOCkKozB/GwHMRnr57/igwPObTybCFtyQJCAKoshiNUQBZEsimwu9akiTSCQW5WwFDFAVkWRiQM73vWFMkJDGUCZoSzg9VCZeN/b73/ko6iiyT7OvskojJxLq/9+RDT2Yl4nL3WsO22gdV0FBkaaBqZU9+7Vz/sKw7mWoc/XOlXzZ+kMRUGYZk3IgPh5lSWDFGEAQEQSCbCueUIotR5SSATHJQzuZS2q75FNekgXEtCBDvq4g6POaPUy11eEw8zBjZdYxDOjg97vMf6bjqjh6U0GTkri4iiSLJmIwsSQiCgCqLJGIysiwhiyKCEL5/r2Ome3JUFJAlgWRXbj3M/Sc0GVEIjwNEesSTzLBeqezTLWnEwfSvk7IcVsTvrYWKLCHLIooikeyuXT0na1hxO5QpiiwhiDvyJZXQSGgy6ZSG1ld1+2kYVyNGjIBUXA51ga4eH8rYUN9NJ1RkWUQUBBKajKZKiGJoY4d2uYBI194Ww9fimoyqSMQ1mWxKC/VrSUSShL6fpT276o0YMeKDJ5PamXuCMKgb5NMaPYNOECHR59/qtyOUnu+qS3rIt7Ofjt2TNTvH3PlcXJNR+uzs/XRcVRYjfTn8nBRVsO7Z8/3HPAraHr66/tf6r/mw7rH7MaDLdmUthLpWz88BkI6rkf4licP3+ujnFoTd9txJMXw/I//e4yedUAbspmQ8XMsRQUCIfEXJuBZVygWQRYHZUir6XVOkaJzGNXlgnvXmsSqLoY+va2PGNXngO5XlUK+IfpdE4l05ovYdPzzmTrKHNvTaUebBbh+HsudnD/Lhjxgx4uklpslI0o4/VFUG/Zx7rftjWQ1VEqM1PxlTIl9JZBdJAqoioShhjFJVRSRBQOv6RbND9k3PJ9LTJTQllME9H31/DEKSRBJxGbUXJxWFUD539Y7wmo+WBDcs244iN9NJdeCZHNdWe9iYXTqhPNJ5R4zoZ9jWyA75JQ+MCwi7YxzphBr5PWRZRJWlbswyzEkQRYGkpuzE3oQdW2G440MhO5hncdi8TMf77SRpwDbqzddeXkZP1vR0vp59l00N3v9+8ff+Y4e2yY4M2fHhiGEso/taJqmGPqTu7/25IUdh2D7pn/uSFMZMDj/GUIxq6NzD8qQ/Zj3ieOzSoVV5IF4oyyKpofnWbzdrSmgnpBLh2BWF0KeYSmpIQjgGZFkkNeQf6P0riuLO2imFPxfzO3MqtDPkyH5Ip9RBGzuphnkJkgACiAIkY/K+41UUw5ymns2udH0QWt/cGMW+R4zYn95GvWJ2/xzDEQfz2jOTzJZS6KbL73zj/klfzogRTxyZR7RfnwSmCvGBHC5ZFijknv6ucS9eHD/pSzg22SE76WnrwgG7bdnEQ+qqJ6rhfuMb3+Av/aW/tOdrP/ADP8Df/tt/+0O+oieDM7M5fvDVOa7fq5FLa3zu1YV931vIxFiYytBoWwRBWC3GtF0yKQVJFDBMh0CAq6fHKGRjVBom5YZJKq5Qa5q8fWubG/drjBfiOK7PeC5OvWXw/v0KP/yJRRIxma9eW2Vls83sRIpPXp35/7P330GSZHl+J/Zx7eGhIzJSZ1Vm6aqW0z3do+XOYlZgBfaAwxmJ4xG8I2kEATMYjTSDgWakGQ0w0MgzgDSCBnUEuQdggYXGLoCZVTOzO6KnZ7p7WpYWWalFaOXanX+8CM+IrKzuqurqrq7u+La1VYZw9+ce7/3eT35/HJvN8s7NGi8+MUutZaPIEicXC6KaV5LY3OtSzJmUciYzZYvr6y0WpjNMFVPEkaj+/f7PNijmTOGgLaTuWJRHIYoi3rxepdV1OT6XY3kuT6srGIdzaZ0oipEkkCSZW1st5srpO5wGpqFyeqnIXqOPriksTWeYLVm8dmWPmZJFuZAik9KYKqSwTI1Gx6HeckiZKnPldOKo/ZUvneDffOc6Pcfn3PESizNZAPYbfWw3YKZkvY8ZcG8YMhCpisR8JTOW1P5e8IOIrf0usyWLOBLMzqeW8mPtfO6GpeksEoKNqJw3x4KME7w74jhmu9rDdoOkve3dsFvv0+175DMGKUNlt96n3XMxdRXHDzB0lTCMyFo6T50ss9ewsUyVIIjIZwyePDnFf/zhDRpth0+dmWOhkuXmZpNa2+HpU1NcvFnD1LPMllOkdI2UqfL91zcwdZVW16XedkindLwgYrqYopg1UBQR2ChkjWSO11o2zY5LOqUxW06zUMnw4hOzrO20yWcMPv/kHN9++TZxDL/wuSXeudWg1rRHClFiyjmTC8tFNqs9UobGU6emxja5arPPxVt1dE3h2TMVTF3l+GyWt25WsZ0ATbX4V390lSiKeOpUhQsrZYJQMPdkLf092we/c7NGtdlnbirDmWPFh/Jbg2g3qyqCEWemZNHte2yMPKsPAumUxqnFAtWmjakrLExnP5DrTHAnfuGzK7x1vcaNjSbzZYvPPDGN4wacOVYZC/I9c3qKMIpodlwWpjMcn8uJ/QshV7t9j2+9tEpKVzh7rEQsQb3j8Dvfv0Eha/LVTy2SzxiszOdpdBw0VSYII25ttZgtp+9wXu7V+3T6Hrm0QaWYYn4qTRzH9J2AQta4p/13fbfDzc0mpq4QRqJbyEzRQpIlUobYH0fh+iFbA7aq+UpmzLk6V06z17BpdhwqhZTQS5o21zaatLsuT56c4sJKmTCK2drv4vkhpq7geCEpQ2W2nD6SOWSqkEq6Q+maTM/xieOY6VIKzzf4ja+d4upaE02ROL8iWrPPV9L4QcRCJcNu3cbxAs4tF7BdwSC1NEiaGeoCX3hqnrduVHH9kLPHRfv3dEpL7v/Sao29ep/pksX55TIAO7UePdunkDUo51MsVMQ5bTfgFz9/nJ2ajaHJLFTS3NhoUilaD2zo7jX6dHoe2bTOdPHh6yGnlwqs73aI4pj5qQzKfegdExzg0+dmkIBO32d5Pkspl2IqZ/CdVzaRpJiMqbE4m2XluXl+509ukUl59J0AXZUpFSxUWSZngaqozJRNGm2PH76xyROnp/jhm5voukTfiyjnU/z6V07edRzegGUtjmNmy1bCaLW13yFlaDxxonxPeuEERyOxIQyVuan0PSd7TPDJxKmlAjGDgH4c0ez6eEEg2Nptj47t0ul4dGwPCQlNkbCyBqoqE4YRxYxJKW/geBG5jMbyXA5TU/jB65sgwfxUCstQ6LsBrZ6LLEnkMxrHZrPc3m6TTeusbrXYq/dxgpC5UppPnamg30eR6N0g2AD7g303M+YUnWCCTyrOL5fx/Ij9Rp9K0eL0UoGt/R5I8H/6i5/m//B3f0Sr67FYyfIXfvEcv/fj22iqwp/7+kmubrSpNW3OHi9xcrHATq2HpspUCmV+8MYGrY7LEyensMwDP82oXj1dsji5kKfWcjB1hXRK5Xe/fwvbDfjq84uoisz6bodC1qRve/zv/s73CMOIP/eNM5xbLtPqumQsna+/sMTPru5DDM+eqVBtOonNsTyX5c3rVRRZ4sKJ0h368FEwNIUzx4rs1vtoqsxM0eLbL92i3fN4+uQUsyWL6xstMimNxUrmyHO8F84cK7Ix0GUXKpmRQlmJlfk8b1zdBwmeO1uhN+iMlkvrZC2drWoXWZIS39+9YFT+Lc1kURUZ1w+ZLlofmWKJUduklDMfy4DbRx2FrMnPvXCM167sEYRij33jxj6yLNG3hf9+cTrDXqPHhZUyb92sEoYxhYzOqxd3yWV1giBmYSrN7d02L729jRTHLM3mKGZ1Nne7SLJEOZ+ikDU4sZAnZ+mkU0PiJUHGkk5pLFQy9GzB1ixJcGIhj5XS2K520TVBbhCEEctzOeam0mQsje1qj6mCiarIOF5ILq2TNjVubbWQJYn5ShpNvbMQY7poEYbxHX65YtZkeS7Hza0WccxY4djjjjiOkw4m7+XznWCCjztmShZhFGEZKrbrUylYLI3soaaucmIhzzs3hR+t3raZKad54YlZXruyh2WofOapOTpdl/W9NivzefIZnWNSjl7fo9WxCQKJmaKFaarkLYPjczmeOzcDwG6tx5W1BpoisThtUW32yZgqaVPj1758go29Lju1Lr1mwD/79iWePTNNPm1g6ApTBRPimKWZLC8+OYsqiyTt0cK698JcOc2P395mp9rj7PEiaVNjdbtNHMfMTaXH4h5RFLM50NOeOzfN5l4Py1R57tz0fT3zwzE7VZbeU1aD2KeePDnFOzdr5DM6n3tq7r6u+6BodlxqLXviM/mYIZPSxmyNheks19YbbO13KedTd8TNF2eySJKYt1OF1B3Ebl98dp7v/nSduSlrIAcMZEXi9nab+Uqa00sFdut9ohh2a10URebCiSk6g05+WUsjZajsN212aj3SlsbZYyUKGRET2dzv4rgBU4UUKV3hZ1f3B37/El97YYlXL+3i+SGVYipZt3EUowx8MRlLR1VkerZHNqOT0lRcP8R2PH77D64AIBEzUxZrUJbg4q0aiiKxU+0TxTHplBjj7Z0WQRBxbC7H5n6XmZKFoshs7XdJmQqmofD0qTKyLGGZQn/crvW4vt5idirN/FRa2ErTWa6uNdiudpkqWDxxonzkb7Uyl0NVZGEjFi0sU2Vjr0sYRczdo98/Y+mcXDz4vRcPxSKfPjVFFEO9ZTNfybA8l7/nuTTBOHJpnRMLeept4WteqGSoFFNs7HWJB/atZWrsN/vsNxxmy9aY7a2pCmePF9EVmT9+fYO9ep8gDNFUlayl4noRpZxYF//mu1fJpHR+/jOLVJt9dms2nZ7LXDmN7QYU0gazU2kCPxJxuL7HdDFF2tSJY9HxMmcZfOHpOX7yzi4pU+XF87PoqszaTgdNljk+myVtaQRhTNf278gzqbVsVuZyAFSKFovTGRYqGaotm2rTZq6cppxP0Xd8dmp9FEUSNr4ksV3rJev6XmKfE0zwccSkiOP9Q5Ylfv0rJ/m7/+oNfuf7N/nTXzxxX7l4E0zwcUc+Y/D8uWleu7JPJqXx4hOzj3pI941UKsVvfO0E//qPbgDw579x6hGP6MHwG188zr/9gSg201X4L79x4RGP6P5x/liWf/kHV6g2bS6cKI35jx4XFLIGhazOxl6XUs5ktvxguVqPNGpUrVapVI6uApqamqJarX7II/ro4Plzszx/7t4E3UzJwtBkfnpxhzCKWd9r0ux4pC0VCYmlmSy3dzt4YYTjhcgyXF1rkE6p/NFP1wcBHYXluRy+FOGHQBjz7ZdWieOIl97aAeDWVhuQMDXh8EybwiFz9ngJgO1qL2lrU2s5rMzn2a31E+Mrpatcud2g2rRpdl1cP+SzT85Rbzs8eXLqPavmX7uyx+XVBgDre10kRJvhYXvImbJFt+/Ts4Vi2uq6PH2qckeyp1g8B4ZbxtL58qcW77he1/a5tt4UbXtawqE6dELsN8SYQShxhYwhWvwM7l2S+EASKIfwg4jLI+1gHS+8r+Tza+uNpDVULmPwzOk7n9PdIMsSx2Zz9z/oCdjc74rkDET7pAsr5SOLYPYa/aRt6W69jxeEhKEoAHG8AFNXmS1bFLImi9MZdE3h+Nz4edZ22pxZEmvT9QM29jvsNRzWdtt4QUgmrfOFU1P0XZE0fuV2g57tE4TRCEuvxGw5kzBcPX2qMsYg2Oq63NgQrYGHBuFsOc2ZY8Wx+fiXlgoAvH51j7dv1Nhr9HG8MHEKrcznKeZTPHf+TpnneAHf+ekGXiDa97Z7Lj/3wnHRejgW133l0i6dvo9lqqztdChmDeamMszx3oUSl1Zr/OzKHgDruyJw/bCciaoiszIvznW3Z/VBoDQoopvgw8Xb16tEUczKvCgwXN3u8sSJMre32+QzU0kwSpZlPn1org/lar1l8zvfv5HI9r4b8KVnF/gPf3wd0X2tjesF/MqXTlIppqgUU1y8VUvkebPj8vTpSpIgud+wx/YmRRFddw471N8NtZbNH/9sA2K4udkSBQfTWbaqPX79KyeP7AJyebWO64k12+l7PH3qQNfbrfcJgoiUrvLWjRrzlTRvXa+yW++TtXRub7fJpXVcL6TWcnC9gPW9Lsdnc2iqTBjFd1XcZ8tpZkoWb16vJtdPGSpPnRL79eHnPorTx4o4bsBbN6pkUiKwubHfZbpoHegCwGefmjvy+tfXG7x66UCWaIpgP1rbOdCLVEUmnzHGjn/ypGgRuFfvA6LQ9amTU/ed2FVt2qxujfzWg0SehwldUzi5WHio5/wkQlVlPvPkeFDcD2NSpoofRHRsUWD12pWqaEUqCQZ+TVOxnZAYn1I2RSajcnu7iyTHtPaFzpqxNDRFJp3SeeH8HNWWw3Tp6L3myloD2xE9Nm9ttkmnVF69LPbTqbzJdq3Hr33l1D0xr00wjjEbAoji+L7k7gSfPGiqwoWVMhdWyuzWhR3wk3e2ubHZwvNDWl1XtO2WJCQEY3w5p2KZonj35EKe5fk8+w3R6ne/0efliyLZwHZDjs/lOLGQ5/p6E1mSieOY1a0O+YyJoSms7bSxvUAUO6qisLDn+Hz908fe1325fsiV242khawfRJxYmATtJ5gA4JnT477QUwOb+T98/waFbIpCNgXEXF1r8nMvCGKX16/V6Az0/ndu1ZibSid294/f3qbaFHbmG9f2WahkkmLM1a1WYoM2Oi5PnZpK9MR/+q2L7A700N/5k5t89qlZMimdIIj4v/zjl3FdoVP/3X/9Bn/pzzyBaQpymOX5HF97fgkYtzn2mza+H2INWPdfu7yfMG+P6sNHIZ85KDD/9398nSu3hf/v5maL585WBs8ENqs9lufu3ydlvIsuu7rdTvTv27udMfsF4PTS/ZE9eIfkn+eHH0k9WpalxzIo8rjh+FyO43M5tqpdXrm4Sz5t8tkn5ynlDTb2ujTaLpdXm0TElDIGqzsd9mJY2++R1hWeOz/LD9/aZrvaZbvWJ0YQLaiKgq4r+EGIriqcXynzlKUTRjGyLLNVFf5HJDg9lcH1Qm5ttQ8KKiWRbDlbTnPpVv2OBN+spZM9Nl7YE0Uxb1zbxw8E8UHX9u+aHDg3lb6rX06WBAvvra02qip/LAoetqo9NvcEmcW7+XwnmOCTgvmpDPNTdy98qDZtOj2PG5ui0ODirTqLlQxffnYx6f7a7HrYjthTwxDOLRe5vtlGkmRiJHbqfS6slCnkTCxTQ5YE8dl3X10nGPhWt6tdohgMXWWv2UdVKmQsnfWLXfabDoaucPFWnWfPVOj2fPww4vh8npW5HIvTuQdax3/y+ibX1poAvHJpj54bMFsU8rDd9Xj69IGf+PZOO7HjJAm++Mz8AxV7jsbs7kdWt7ourhdyaqCnNDsus+UPNm2gZ/tcXW8kPpN38/VO8PihnE8ltkaj49DuemRSwte/37CZHinkUN4j1rxT7Sefq4qM7QWEYUwbL5nXhqbQ6rrk0oNYqOdza7OVnMPxAzYG+zPA/MCGWttps1M78MdXWza1gT21Ve3xq19a4WvPL/HGtX1cL6Qb+GiqRBxLBAN/aspQUBWJXNoglzaIibm21uTaeoPrGy3yGZ1i1qSQFZ9fW29RawkiqVrbQVNEMYhpqNhuiCLDZrXPZy/M0Oi4AASDdSyKOA5sFMcNxvIvLFPj2GyO1e0WP3lH5HSs73aRZRKyqVEoinyHTfUg/prR3/swZFnmubP3V5A2wd0xVUgxNcIObepqIrtB2OW2E5JJaXT7PvW2MxYnzlo6T5+psDiT4R//x3cSX6OuKSzOZHGcgB+9uQ2AJPWoNW2K+RQSYl/JZXSeWCmDJLG63abZFXPUdgLcIKLWcrDdgHI+Rbfv8rONJoWMuP4rl/cwDdHRarpksV3rUyqYSEiDXJ6ppKtMs3MQS5+fEiR4MyVL5BW4IZmUTqfvU232WdvpEoRijdhuIAgxR9b1EyfKYwQXE0zwSUGtJXTLhx0j/qTha88v8U+/dZn9hs0P39jiK8/dmU84wQSfVLh+SNcOEl1kt9Z/7GJ/vu/z08v7VAb2yY/f3uM3vnbuEY/q/vHvfnDQLcgL4Hf/5Aq/8uWzj3BE94//179+W+R/Inwov/MnN/jVL9+dqPSjiFbXpdkRtq/nR+zWbeam7j8f9JFm5eRyOdbW1o78bG1tjXT6g0lw/Tii0XGJY2FIRZGoXHc9UbQBwtBvDYz+YWLjXr1PGMVEkTBwam07UepAJFlcW2+OXWd7/8AgAugNnBXib398TO2DAgsQzrlGx0nOHQQRrhcQx8K4ei80B+MHIBbs1qPn79vB2Bg8Pxob6/2ib/uJIxGgP3qv9sF1oiim3nbGj3Xe+37eD1w/TJJ8D4/nXjD6fT+IkgT5CT5YjM2LGJGMdQTGf5+QvhMka7k3SNpwvJAoipP33+1ajhsKR6PtQRzjeiFxDJ1+QKNtE8XxYB5E2F6AF0REUZwkiDiemG+uP36tw2v+vebhcJ34YUQYRfQd4XQNw/iux3b73tj8bHY9/CDED6JkPK2uB0AYRkQxbFW7R57rKAyTWYaoNu27fPP94fD9fdAyYoIPHzt1kSARxzFBGNMaODFdPySM4nc7NMFevT8m22sth61BsHGI/ebd9xs/iPBH1ulhGXO/ewVAo+0ke6HrhTj+gV7R6Xl3fD8Mo0TPACF/Ru9/KDf8gZxxvZBOz0v262iwvw/vayjrhnLgsNy54/qDcw5hu0GSPPVesN1gXK9wBnrF2HtHX/+wLKm1nDvW+d3GPvq73KtOdMc5nImMeZyxWxd7TzDQyRtth/2GCDiEUUwEeEGEPyjq9IIQzwnouz5+ICbocG/3gogwimn1nLuu+SiKkwIOEMVW4cB+ALE+XS/Efo/1NsHR6N8hNybrcYJ7x3DddvqiuNr3I4IwJopI7P0gjHD8A1vAdsMxe7TRcQjCKElcavdcOj0XxxXnjiKxb7hegOeHtPse3mC/DcMIz49ott07B3efcA7twe+1h08wwQSwM0y6RqzVzf2D19URfx0xY+t+9O84Fv69IUb3oSiKcUZ0zVEd1vECOt2DdTqqKwRBxPpeP3k9qmOM6seCef/g9dAHeNRY3g3VxrhvsjEikx7Epnk3BO9hvzwIDtsgE11gAhBzd9SvVm+79G0xN7wwHHTgCgjCGHeg9/cTv5dNd9BtkjjG9SP6rj9SKBRhO7741w3o2CO2ejxi2x4aD9w5P99tv/bDKEkKFsfe/3r8uNquY7LpXXy+E0wwgUDPCegM1k0Uxzh+mLwOQuFzdAbFpCIuEVBv2fRtX9g5A9km9vHBv35Iu+cmdhCQFLkOz7NVFQzdfWfg3wxj/EAQyQi/SwSx8LH0H1Dn2K0d6G9xHLNbPdChXD8cG9+oDIxjsL33LxPvR1bfsQc8ZD3rrtccjRtP5OXHFvejYxyF0e/bbpAUmItz+8n7o/787drBegPY2O2Nvd4erMfDa682Yn8EQUS7599hJ3T7Pu5IrHKYlzHEbs1Ovgck63BrMCZ3sL4bHRcGMYAoFl3Y4zgWdkgY0XMCXC8Yk0GOG47ZF4fve7h2D8c3D8csJvj44l5jgcMYZBjGRAOd1fcj9ps2UQxhHBNHYp923EDEIyKxr7R7HrbjizjkIH7g+iL/wPHCZL0MizCHaHUdEWccwPWDZJ0cznM4fB/D14fvp9lxx3KA+naQ2Fbw4HG2CSb4OGAo+yeEn+8PuqbwS19YAQTZTBy/P1/hBBN8nPBxiP21+v6Y7tDp+/T7j999HJZMP3xz55GM4/1guzpuw11bbzyikTw43q/tO8QjLeL4zGc+wz/4B/+AZrM59n6z2eQf/sN/yGc/+9lHM7DHEDOlFLqqoMgSqipTypmkU+pBFwxTpTKo0LcMVbCtzWUxNAVVEdXty7M5js0dMJ6kLZVPn59l2MlWkuDM8RKmccDMVRzpaDH6tySJzhjqCHtvMWcmzPOmrpAyVFK6iqrI98RoM185YO5RFInlhTyKctA9opA1KIww+qVT2ljXgPtFLq2PdacYPXchd/C3oSmiFc5II4vCB9yiMWWoGPrB7zDaWeReMMpwljJVDO3odsoTPFyMzgtZlshZ+tHfG/k9TV2llDVJm4IBqZg3QRLzW9dkLPNoZqSxbjNpjYylU86ZIElkUhqyJFHMGSxMZ5ElCUMXLXnzaT2REZWiNbiWmG+Hu+Xk0wajna7fax4OWahNTUVXFfIZ0aZcVaSEJfQwchmTjHUgH+bLaQxNIWWqWIYKA1kDoGkKmiqzch+dNEZboUsSHxhTdj5zf89qgscPJxcLyBJIkoSmysxNiXmZsbR7brG5OJtNmGoBjs3lWJnLj+1lhxmSRuVKylQTxhoQ8y7Zm6QHm3fT5XSyl6ctjexgPVopjfwRbJmKIpMdkW25tH7A9AkJ+46uKRi6gmWoTJesZNyaKnNiPp+M1TJVdE1Onst77a+qIo/JjFxGv+dOUxlLG9NbClmDnHVIF7gLQ+hCJTP2rBcqmbHnLUlCZh6FUf3p8PjvFYVDv/WkVfTjhSFTha7KKLLEbCnN6WPiPU0WnTgsQyVlCN3WNFSslEopJ1j0JUnMX0kCyxD6wVTOvCujrSxL5DIH63S6lEJVhP0gSWDoCtm0nqz3Ce4Pd8iNyXqc4D4w3DvKBbG+TVPB0EWHPFmSUBQJXVNIG0K/SJsa2bTOfOWAAGO2bJEytKSTzkzJYqqQSvYwRYZSzsBKaZi6wnTRwjI1NE0w3pq68kAMIYdhmeP2+GQtTDDBe+P8cin5W1Ukzo50uDw+wlKrKBLzI+t0YcRfpqoysyOduEZ1Uk2VSY/435ZmD+zfQsYYC/CW8gd/m4bKsZkD1tzRcxayB3qopkpUigdMf6NjlCTIZ472gRzG8vzBvVqmxtyIjCs+ZFv6DvvhkP3yIDjsj5zY/xOA8MUO158kSSxMZSjmxfpJ6RopQ6GYNTA1hZQu7OCh33CmlKGcNVBkoQ+kUxrFnImiyEiSRNpSKWQMTF0hl9Ep5w7WoSxLZNMahbv4pe70f9890UNXx/2QD2J33mkn35tc+Khj9L7ezec7wQQTCBSzBlM5E1kSOk/G0BKG8ZShMlVIJfuzriukTY3ZUppS3kBVZeSBn1NTFdIpDdNQMHWVYtYck1Mri7nEXWYaKmeWiqRTGoWsWKO6KpEyNJamM5iG8FUqspCzuQeUTycXD2ITiixxeungdca6u46gqvcWJ30v3I+szmf0Dz1mkU1rE5/JJwR3xMTu87ce/X4+o5NNayOvxWeH/fknFnJjeQNPniqP5TicHthXo3NdUcY7gliGSilroB6Kc5TzqSROC6Ir+Gjc5+RibtAJ3UCWSOKp55bFNdMpDSSYK6eRJImspaMoMgvlNLIskbZ04ZO1dDIpfSwP4bC+djjmNLSRFqezY898NP45wccb9xoLHMYghzlFxUE+0eJUGl2VUCQJWZYo5Q1yaTEnNVXE8cp5k1xGJ2WoIs/HVMlaGpapkTZVMpYOEkwXUsk+CzA3lWFhJPaetQ66cB7Oc8jdRW4ctiGmi9ZYvlIha9yxrrMTfXyCTyjqgyKOcn5SxPF+8UufX0ZXZa5vtHj7Zu1RD2eCCT4y+DjE/qbyFqURfXu6mMJ6DPMiDqdE/8bPnX40A3kfePLEQQxMliVevDDzCEfzYDjsW3nQGNYH2xf1PfCX//Jf5s/+2T/LN7/5TX7xF3+RmZkZdnZ2+Pa3v00QBPyVv/JXHuXwPpJodhx+9NY2jhNwdrnEhZUSq9ttWl2XqYJJveMyUwLb8whjhWfPTJNP67R6Hht7XQpZg4yVIZvWqbUczh0vcHWtgarILE1nyGd0pvMpYuALz8xRylm0Oi43Npssz+d4YqVMGMVJy892z+OVSztEkShmKOYM0qZGq+dxa6vNxm6HasMmiCJubDaxDIXl+RyWodJ3AmwvZLacRtcU1nba1NsOlqlxYiHPdrXHa5f38IOQqUJKJJNldEI/5szxAjPFNHnLoNERLR/3Gn1kSWKmJBLP2z2PN69VmSlbSfHIUeg7Pjc3W4RRzOJ0JmktZxoqubTOxl6XXFobSzLPpjR+vNXCcQOePzdDIWtyYaVMu+fS7fvc3m6zU1M4sZAfS6gFwVJ+c6tFz/ax3RBTF47mkwt5lHtM9FVkiQsrJWotB1WR71sJP7GQJ5fRiaKYqUIqad/8SUIQRtzcbNF3fIpZk+Nzd2/b+37Q6rrc3mkjIXF8LsfpYwWqTZtW1+PqeoNjM7k7nCnFrMm55RJd2yOXNjA0mf2mjabKtHsuza5HFMVUCiLpst33+OHrW9iOz8mlArYbsLbdotX1ODYrrjk3lWG2ZNHqizk6X0lTKaZwvZBWx6WY1UXwpGCSMsR8nyqYBIFgAuy7Pt95ZQ1Zgo29Lju1HtWmQy6t88Vn58hZJpdv1fHCkKmCxfJcbsxBsrnfFS2kui6e72OlxCZWbfSRgPN3aemtqzJ/6jPL3NhooKsqp4/lkSSJ88slqk2bxZksO9UeN9abaIbCV56dp3Qf7SGX5/JoqsJ+o8/cVEbIj/tE3/H4/utb9Po+ywv5I1sEp1MaF1bKtHouaVO7I3jSd3xubbUJwoj5qcxY4kutZbOx10WRJVbm82NJN/eCetthfbfzwMdPcG84NpOhXExxbbVBuZiimEvRd31OLxUAwUK7vttBkqQ71scQmZTOL3xumZfe2iaX1vm555cwDZVvvHCM1y7vY6YUOj2Pf/u965xfLnJ+uZzI8yFL05vX98mkdFYWRCHE+eUS3b5PGAmZJ8sSK3M54VC9B+QsnfmpNG9erzJXtihlTWLguXMVdFWm2/e4td0mimKOzWQTp+8rl3cB+MqnFsT9tx3WdjvEcSxYRt2QJ1ZKlPIpTi0VeOXiDrW2x/GZDOu7XXRNYWkmA0iU8yZb+300LWK33mO33k8YLyxT7J/SoI1zu+cSRTE9x0ORZM4MAjPDdRQGIdu1Po4XkE3rzJREsOXEQp6UoXJhpUSj7aJrcqIPPHGiTLPjYhrKXZPiF2eyfOOFY+zUesyULOamRIDk7PEiPccnnzbuuvbmKxlMQ8X1Qoo5EYB+N0RRxI/f3mG72iVlaMwOimYXKiIAlLP0e/597wbbDbi52SIIo7FnfWIhjyJLie45nGvvN9Htk4zXruyxtt1GUyRyaY162+G7r65jqDLNroPvhciKBMRYpkwYycRRTLmQ5rnzGf7wJxtU8im+9vwCsiyzud9jc7/Hz65VWRroNkNdZL9hi0Bk3mRlLk+r6xLFQp/o2j75rM47N2pIssQLF2aQ5Ydb7x9FcbJOM5bOifk8siwlunGtadO1A6YKJksz2ce23bNpqPckNyaY4CiUciZnjxeZrVjMliy+9+oGEpBJaUQSBH5I1lJJWypd2+P7P1vjh2+so2kqYRSjKTLlvMHyXB6llGJxJsPybI7vvLLBjc0Gnhfx9JkyP/fp42iqgixLPHu2wquX9zANBVmSyGcNDF3m1laL5bncA9uKmipz4USZessZ21cnmOCTjiiKubXVotP3yFo6xZzJxp6wE07OZYmiiGrTYXkui+u5/NNv3UZVJf7CL5zn9FKRZtdlcTozVlx8frlErWnT7HhcOFHi1laLa2tNUqbGF56dxzJVPD+inDfZqfWoNR0MQ+Grn1ogCCJsL+TLzy7w2uVdrq83mSpa/Le/eo5//B8u44Uh/9U3z/Kp8wtiD0/pbO11+Be/fwWALzw9T7Vps1vrsTSd5UvPLtDouoI4Imvw1o0qzY7LfCWDZd7dFt2r99mu9lBVmRcuzNJ3Auptl+fPVchYOre22mRSBwmeR2HUrh71770X5spp3mpUARL77SiM+ZFy5lhhzShUReaJE2VqA/mXsXQu3arj+eF7+ign+Phhp9Zjt9YnJsZxfeptB0OTyaYLnD9Wou8E+G5ILCtEccxnnpzh9nabjV2bjbZDo+1ycjHHXMlibbeNF8SoisYzp8uEoWCLXprNYmgqXhgxW0pTyBromky9ZbO+1+VbP1plpphC01Q6fXewjiR+8MYm+w2bUs5kcTpLOW8emfDlByE3Nlu4bkghpyNJEvuNPlZKxXEDTOPeQ0yHfZ4PI2H5o4DpooWuKthuQCFrJM8kjGJubbbo2h75jPG+dKsJJvg4YOgXaHVdrJTKTDlFs+1zYjHHfCVDrelQa9k0ew4vvb5FEMMzp6aIFnJcXW/yS58/wdX1Br4fMl1K8dqlPd66vs/19QY71R5hGLG516XjBDx/doqvn1zkR2/usFXtkk/rvHOrxsmFPH/qM8v8/sur1JoOM4UUWUvn/EoZWZIwDWWQHHog2+I45vZOh2bHIZ3SODEvYnlBGPHy2ztcW6/T7vosTGc4v1ziV764wnatx6nFAkszOapNO/G/jGKhksHUFTw/uief4N0wKqfLBZPzyyX2mzayJL2r7mSZGk+cKNPqelimSjqlcXWtkeg6iiTx6uU9AJ4/N83izPsnwDJ1UXi4ttsha2kfuQTD0fhtMWtybDb7iZDbrh9yc6P1UPXVzCAm1u5591QYlfijg4i5SppTi4NYas+lZwdATDFn0Gg7vHWjyp+8toFhyGQtg/PLZaYKJuV8itlSmvWdNj+7WuPq7QZpQ+P4XJau7fP29X1qTZunT5XY2O/QaDnkMianFnOcWMyjKTKSBD94cyvR3wxVoVK0OL1UwPVDLq3WsZ2AKI4wdJXpnEXX9giCmGxKQ5HTzE9nyFo6x+fyHKuk+Rd/eJWdeh9DU3jqZInF6TRpSxfd3GM4o8kQw83tFtc2mnz2yVlOLRXZb/SRDq3j3XqfnWoPWYbpXIqu47PfsGn3PU7M5zh7vMjt7TbzUxmWZsbtFc8PubnVotP1cLwAQ1dxvJB8RmduKs108f7joxM8GnT6HqvbbeI4ZmkmSzErZP/WfpdmV3y2PJdDU2V+8Pom19Za2K5PPmswW7aQZYmTmTzFrMlOvUe6YPGLn1/m5nqbXEbjqdMVeraP44XMliyylsj9ubzaoNrs0bEDbMcnjkFRFc4s5jm/UsRxAvZbNmeWRFys2rTZ2uuwNJdjppyi0/P57FNzFLMGni+6af1/f/cdam2bqYKFNOjOlTZFEbquKSLmlRakkNWmzWw5TTatc365TK1lo8gyUwUTSZIwdQXHCylmjTvycyaY4JOCYXfej5qO9TginzH4uReO8a2XVvn337vBUyenHvWQJpjgIwFNlam3HV69tEs6pfLnfu7sox7SA+HkQo7Lq7cA+MIzj1/hAMBvfPUU//I71wEwdXjx/PwjHtH948ufmudbP7qFG0Auo/KlTy096iHdNw77Vh6UcPeRFnGcOHGC3/qt3+Jv/a2/xb/6V/+KMAxRFIUXXniBv/bX/honTpx4lMP7SOKlt3aS6tmfXdlDVSVaHQ/bDdiq9simNW5u9jA1lVJe5epqgydPTSVtgFw/TJyCfhByc6tDxtLx/IgfvbXNN148zsJMlufPCQG1U+sNEpGEQrJT7zE/lWG2nOa1K3sEQcTGXgfbDTmxmMf1QwxNpdPzaHRcLq3WSRkqm/td0oPkvyDs8fTpCkEYo2sK+00bVZXZGbQU9XyXtZ02L7+zQxjG7DX6rO50OL2Yp2P7LM/l6DsBjY5DMWsypUi8frUz1jpU02TsQbuatZ0OubR+12Dx9Y1m0pr55maLXFpHUxUabYdmxxUJMxFs7HVYmResOT9+Zwc/iFAUmdev77M4IwLocRyzsdtNnvXaTodThwLAW9UejbZLu+clyZ5+ELGx371rAPgoaKrywI40WZY+8c6Yzf0uzY4LCKdXxtIeemJRFMVcW28mrcSurzd57tw0tzZFwrPjhlzfaPLc2ek7mOJzaX3MqSlLEpqq0HdCwjDGC0I293uU8il+8vY2tZYwyP74tQ10TcbzI2w3wND7FHPCebmx30VTFIpZhVbH5fZWG1mR8YKITt8nlz5gr7qwUkZTZVw/5I1r+zTaDvsNm9s7baIw5tpGA1mWCcOYb//oNn/mq6dZ3REJ2rIk4QdRUszQ6rps7nW5vFqnZ/v0nYC+G7JXi8imDdJWwE/eFvLnKFimylOnKmPvqYrMbDnNxl4HRZE5M2AslZX7d8osVDJjzKX3i5ff2WV/0G754s0a04XUkQGNdEq7axK3SAQRMuvWdotcRsfQFPxAJIkM5dv1jSbPnK4ceY6j4AcRNzaaD3z8BPeOly/usF+3KeRMqg2bGxtNnj83w43NFs9YOjc2WmOy4FNHFPv0HZ9W1+PCiihqWt1uM1/J4HghF06U+MnFHaIoppQzefXyHvNTGfIZg+mixV69n+gHdd/BNBQWp7NkLdFd57Ure2Pz4Nkzd17/KGzsdljb6VDIGOw1+oRRzNOnKuzUbWbKGa5vNPH8KDnvM6en+OGbWwnpz4/e2ma2bHF9MA936336ts/KQp6uHTA7pVBvOcyUM+SzAWs7HSRZwjI1ZFkwWq3v+mQsjdvbbeotESzdqfU5MZ/H88X+aWhKEhC9sdGinDcp5XRubDZ5+lQlWUcXb9WotWzKuRTXN1pcWA6ZKae5udniiRNlTF1lbmpcPU4Z6h2diI7CbDl9x76czxj3pKTfT1vbK2sNbm62ALi51abecTizVGS72j9yP3kQ3NwUwcpO32O71mN5Liee9V4Xy1ATmTc61ya4f2zsdrh4s0az6+KHIiFAVSSaHY+e7RHFMWEIUhTT6Yvi34ylo8gye/Ue19bqVIpizt3e7fEXfvEcf+9fvzHQA0K+9cNb/KU/+yzX1pu0ey7b1R6KLKEoMlvVbqLXgpirq1vt5Lfc3OsyXbTuuZPQvWCv0afaHMydloNlqsxPZRLd+PZOBz+IgBg/iAZ6ySNtHPnAuFe5McEERyGfETr5drVPzwmIkHA8ERg1NJW+E9HutpEkCdcPCcMIWfaJAU2T6Ds+fgCff2ae6WKat2/UWN1u0+n5RDFUGy7ru10+++QcsixRbdroqsLyXJ5ay8bzQoIQUfhlag9U5DyEoT2crh4TTPBxwm69T22gt+83bG5stJKk6f/hu9foOQEpU2Wz2uX6RpNs2sAP4Z//wRX+73/lyxxlNa/tCN9extJZ3+2wvttB1xT67rit3eq6bO33gIHParvN8qCT5UtvbbO63UYZyIV/+YdVTgy6hb15pcoXnlpgfipDGIb855dWB3s2/PYfXuHMUgFNVdip97m60UyCmms7bYIwJmPptHue0MOP8LvYbsDqdjsZ18tv7yS6db3tUG+7SaL36nY7KdQ+jBsbLWxX2NU3NltkLf09EzeiKObGZitJ1Ly51eK5rHFkst7m3ogfqdYnk7q7H0kfkX9Xbtfp9L3BM+mQtfQJucInBH3HZ22nA8Dl23XqbYcwjJIkxVbXIwwi3DCk2/HJpXX2mw4b+z0cP8b1I4LI5eZmm77jI0kKxAH1jsfqdpeFqQzPnZvhxkaLmbJGSle5sSl8EcWsyY2NFpt7PeI45q1Gn6ylcWqxiOuF/PitLWptB2KwnYB8Vh9jjx/F2k6HdlfM4fWdLn4YkTY1+nbAra0251dKRx53Nxz2eX5ccJgBGGBrv0u9fSDz0yntE++Tn+CTjVG/wPWNFj07pJQ32an28YMYSYJ21+OPf7ZBGIn44U8u7jJXSTNbyrC+1+GLzwjCmJfe3KLWdunaAXtNh1bPp+/4aKqCqStc32ihqQqFrMF2tUuj66IoMtc2GvTtAFmW0DSF/ZbD5n6XY3M5zh0/Wp5Vmw579YP45ZbeY2kmy+XVOlfXGqztdOg5Aa4v4oyfe2qOCycOkrym38WmehgxqVE5vbXfI2vp9xw7tEwtiZ3e3m4nus52tcs7N+sYA13qB29u8V/+3On3TfjR7LjU2w6ZlEYcw/pulxML995Z/YPG5n6XRvsgbph+jyLijwtub7fH9NWMpT+UQst3i4kdxq1B8QwInT9n6VSKKdZ2O0lcpdfvc2u7he2GXFtvYugKZ48VubHZ5OzxFQCmChZXbjfYb/aTc2/sd8mkdIIw5OZmi9XtFlEEXdun2nJIm6IDUBzHxLHEG1ereEFIHMcosszcVIaraw2QQFNkNtsOXcdneTbHfrNPHJMQ8GXTOnPlNDMli+NzOf7Tj26x17DpOz6NtiimPXe8hBRDzjrQG1a3W6iyWG+vXNplaSZzxzq23YDbA7sJhG4xTI1w/ZA3r9WIYpLije1qd8xvP5QVG3sdEY8UvEEcn83i+iG5tI6pT/yZjwOurTcJBjb5jY0WnzprYBkqnb6PhNDvr6836Tk+q9ttbu20cByfbEtHVWVODzpTXd9sMpVP4XgBjgdff/EYnb5Hve0yN5h/MyWLWtthY6/LXqPP+m4Pzw/wgwg/jMmlNbZrfTq2z8nFAp4fsdvoD/yQMbIc8eO3tjm9VGRxOku95TBbTlPOa/z9f/sme40+3b7P9bUmM1NplEGOwdnjRTb3uwRhxHTRwvVCspZOzxaFS9OlOwvOivcRZ5tggo8rDjpxfPz1lw8Dv/aVk3z7x6v85OIO67sdlh5CUfMEEzzuWN9t88olQejatQO+9dIt/ptffuIRj+r+0Gw5/N7L6ygD/fs/fn+Nv/ALTz7iUd0//tV3ryd/Ox78k//0Dv/1Y/Zb/Pf/9DXCSEKVod8P+Zv/+CX+j/+Lzz3qYd03Rn0rD4pHbomdO3eO3/zN38RxHFqtFoVCAcN4/FrtfFjwBk7AIYaFCuHAgeH6EXEM0SBT0w1CgjAaO8bxwrF/owiiGLyBsRdGMVEUI8tSEpQdYmgQxnGcnDcMY+HYiGJQJBxPjMkPxPn9MCaOIYzE970gIgjisfMOj0le+xFhKL4TRzFhFIvj44N7HZ4jGJx/CD+MOBxrPXwf4/d0cHAci/NpqjjP3c4xfHbioIPXQXD3Y5LrJc/t4HkfdewEHyzu5bd6v4jiOHEuAgRRRBhGBNHBtaIoFk4M3j3p1k/Wp/g3CofzP8IdmY9BGKHIUiIDvME6DMJoTH6EsTinKg3PP76ewjBCU2UxT0fWnThHTBSDPLhHNxjIgME1wyhO2NslSUrm/HAsYTSUCeKYKDq0pu4DQTguSx7FOjoslx0/uMs3744xOR2L+zA0hTCMxuTbYXn+Xgij93f8BPeO4X5MHBNxsK9FUUwQhuOy4C6/w+H57IfR2HeDIDpoiTzYe/LJsYf265FzDddcct77WCej8zmKDvZ+BnJi9DpxLGRJOPJeEET4wcH1oygmGHkWfhCN6ROj9xKE8dh9hYk+MJA1cYw6uIY82PiHsigY2WODIEyu74fRQO8Zysho7JqPA4Yyf6h7BYMimnvdT+4FwYhOOK57RQTq3efaBPeH4foayocwjJEGv1906LHGEcTygV4chDHByHbjegGOF44d5/hhoosM19dw7z1KDozqvsN9+gFJII/E4Wv6h9ZfMs8O6SITTPBJhOcHScIAsViTQxNiuK5lBfEZB/sakUQ0sL3DMEoY9qMRndDzQ/xg2GlJumOvjcb26QfT0SeYYIK7Y3TNxcRj+6/jBokdfVhvdt27r8fRc3pBmOypMG5rH9Z53RFb1vMCIWwGusionRsNbI9MCsJwfE/3g4gwhCGfgjvi37vDvrmLHXLnuAJA+IbDQ0rRu+nt/iG7+vCxRyE+5LcJB3rIUYTLh/2E96oH3+G3eIxsjwneH0bnvOcLv8BwP3e9UOzX0XCfF3PR9YX9Gg427iiOCSLhS1SVgd0bxQR+iB8exAESfT8c9euHia8uCuPE9xfHsZANQ/UhjhNyhqNwh10+8toPJ7rCu+FOX81k/U/wycaoXAyCKNmDhRwKURVZyL0wEgWVg33a9e6MXToDuTq0mYY+RmVQZDD0SRLHY3IyCGLcEX1JXO/e5eDoa9cPieIo8cWEA3l9WGf4oPGwZI0/Ju8PYhQw8AlGoL9PN83hsX3UbM5Pqt52t1yARzaGWDx7LVbGdHXbCwZx/HGf4h25E+54jK5n+2RSBwWkfSfA1NXk3MPYpetFGLpCEIZJ7FKShC4WRqJQO4lNDOWAFw7eF+cexm6H68lN4kYk3wfht9VHHK+OFyBLYoHFMXh+hHUoH/0oe260aN31g7GOPnebz4kP1o9QVZkgjDHiiZ//ccKoPi7siIMY0RDDvIBhjCcevMeABEzYI3FyXDBqT4zMBc8XuUZecGB7iFMe5AX4YYQ/sq+HYYwfhgk5gshDGvFNBMP1ExzkFsSxiPUpchLPCCNxzsN7xYe9z04wweMCxw3oDfadSSeOh4OFSoYXL8zy8js7/Ic/ucFf/nPPPuohTTDBI0ev74+9dh8w1+9RwvEckeM8QBRHNFsOhcdMdsaH1PfN/e6jGcj7gO2N63WtQ/Prk4SPTFaMaZrMzMxMCjjeA+dXSoRRhOcHA7aGIromYxkqVkplrmRRKaQSZoszSwWm8qkk+JhOaRybzWHoCjMli1JeMNwamsTKfI4wjJgupBJDvlIQx/adAEkCy1DxAuFAnR8wyhVzJllLg1gwaR2byaJrMuWcKRioLZVCRk/YSk4vFQZtDcfHZBrCsSDLEqWMzvKcYIrIpHXmK2lKOdHW2NQUDE1GVSWCICJlqJRyJkEYEUYR81Np5qbSwvkaRGQtnaylE8ciEBZF8YHRCsxXDqr0SzkzYc0d/VuWJUo5MzGKn1guJ4m006UU00XB0GEYKilTHCNJHMk6Ol20UBSJ7KA7SNbSURSJmYfQnnaCe4PnBaQtDUkSjkFdkz8QQ0ZV5DHm2rlyGiSJqbyZOCWmSxbygEV3+J43YNQdRaWYQlVlSjkTRZHJZwxyGcGGc36lnKynEwt5pkspUrqazMGhjDi5WECShCOukDFYmslQyBgoisTSdAZFkkibCrm0jiKLMWmKRDqlkU8P2DkWC6QMjbyloSsyuibzwnnB6G/oCoaukDI15qfSiXOmkDGwTJWlmSyKIlr/FrIGsyULy1TRVCnpPADQ7XsigeQQ6i0be0QB7DseWUslGiRt65o8xooUDtZ6fFhzeci4MPL88xmdYyPMNuGh4pm7YX4qk8iUQlY8LwDTUCmNzM35qfvrGGLq7+/4Ce4dnzozTcpQCGPIpFTOLAl22EoxhTxo5zvE/F06v2RG24pLMFVIocpiDdpuwMKgDTeIvacycs5yIYWuCbVOVWRKWSMJfOiaQqV4sDbutfOMF0SUMgb5jLhmLq0nDBP5jI4sS8yWD2Tc1ED/OLVUECw8QcTppQLplEY5L/bpbFqnUhTjNnSFUs5ktpwW7OGqTCFrYOgqMUJ+FTIGpqEQBBGlnDnQOXQKWQNZkpAlsX9Wiik0VUaRhTxP6QquFzBXTpMyNUqD6y9MpQcM5zLFnMFMOQUSzJTT97RWu7ZHq2sf+dkw4WbUUf6ez/gIeT/E3eTHqcUCKUO0kc5nDRZnxO85U3p4XRPmKmmQIJvSKGYNTE1BliVmytYdc226OGFzeVDMldJkUhq6KiMhceZ4gbQp9tJ8RkeRZFRVbA+WpZFJqWgqZFMqhazJ+ZUSwaDY66lTFUpZk5X5XFLQ86kzlUQXyVgauqYkesRRjIyjOnE5b6Ip8ph+AuB5IdUBU/+7YVTvHmK4TmE4d4T8GOrGpZy4Zi6tU8qbCSP2BBN83OEfQbxQyJqcXy4NujnFWIZKLq2hKBJpXSafUTE1GVmJ0VUZQxf2sa7KmLpEPq1jGQqlQoqzxwqkTRVdk9E10XHj+GwWZbBnlPNmkphTzpuJPq2pMpUJU/QEEzx0VArCtgcwdJVTI8z333jhWJLIk8+YnFnMJ8mJL1yYIQgi2n0vSdAYYracTmzSxeksc1Npun2XIIrGbO1CxiBlqqKQC7iwfPDZ02cq5AYd5FRF4vNPzeOFIZ4XcmIhTylr0O57yLLEk6emkuLp58/NYJoKfcdHHzB6DuXadEns8SA685TzJq2uTdcWLL9Dmz1tquQyukjmjOMxG7tSFH5OGPjZDukwcXzg45sf8cEVc8a7dsUa6iqSJHTcg2dp3bWz3Wzp4LOhLXMvmJs6+H0ylpbYdPeCIIw+csmNE9w7hj5pgGMzWbE/myqGpnB8JsuxmSzlnIllqhSyBmlLY6GSplIwSZsaMTG6IpNNaZxeyKOpMrIMOUtnrpLl+ExWdFsupUgZKo4XoCox27UenhdyfDZHLq0TRhGVYoqFgb6vKDJnjxexTJUwiilkDY69C5vkbDmdzP1izqCUM/ACwd78sPxMo2v5/eIo3epRYWZEDuqazNSEDXWCTzgyKZV4kMl8fC6XdK8pZU2WpjMUcya6pnBqMT/oJCqxMJ1JZM3ciDw6vVSgmDPQFBlDk1maybI0nUVTRFH84nSahYpFNi38iLm0iBHOlNOcWSySSekoMqRNldmyxdL0uDzz/BAvEL65Us5IbKaYmELaoO/4LE2LLskZS0VVJIp5k2LGIJv6cLsNjcrplKlSuIeuwKMY+idHdZ1MSuPJkwe64umlAvpDINooZo0khip8yx+tuOhU3qBr+4RhmOivHzcMfXvhSCHmYX31UXTMGo2R5TOic50fhORHxnJsJst0MTXo8KFSyhmJ/TCK585OJzE2RZb4wtOzDEh2SRkKX3p2AUki6ThSKaRImSrH5jKEUcTsVAbL1MhldKaLKUxdZaZkDXIvYjRNopQTcYXTSwVSpkp24Hst5gwkCUpZgyiKeeGJGZGHoYvchoWpNKoCK/M5YkSMOmWqXFg56N6zUMlQyN4594bxo2Gy/OljhbGchOX5fKJ3DP32ozbk0G4s5UwMXWGuksbQFXRVFs/cnPhiHxeM5p8In7uCpo7HAecrGU4tCp9gJqWRMlRyWZ3FSgZDU1iczrA0ncHzA9Ghd17k5eQyemIjx8RMFUzmp9LMli1UVaKUM8ilRRfAbEpDkSUWpizOHitSyBgiX0ZXWJkX+UK24zFdNKkM5KkiS5iGShiGnD1WFPu9LDFbsihmTUxDoVw0MXSZvCXW+mjHcG2QK3E4bjHBBBMgum0i9rr3ywY+wQH+zFdPAfCdV9ZpdJxHPJoJJnj0OLFQoFK0BjkAMc8P8gUfJ8xWCixOZwjCkCAMWZnLPXYFHADzUwe6nyzB/+bPnHuEo3kw/PyLSwgi8RhJhv/5L1141EN6ZPjQrbF//+///X19/9d//dc/kHE8rjA0RbDSBBGaKmEaGk+dnMJ2Az51dho/CHnxyTnaXZdW16XecVndblMumMwULSxTEwHXk1PYjk+373H5doMwjMlaOs2eR8f22GvYVIopZkop1nbbNFoOew2b2XKaTErnK88vsjidpZQzafdEW3c/FIxgpqHy1Mkp+o5PxtLZqnY5s1xmqZImjGMabZdbW23KeYOZUjoZ0xMnxJhefmeby6t1FEXiyRMlFmeyos1pFKMpEq2uyw/e2OatGzWslMafevEYmioTBBGKIqGpMqoiC+dHFCHLEmEUceV2Q7RYbNqDpFCV00sFZssiSTSI4rH2sKoic+FEGdvx2drvcXOzhSSJ5Mmzy0VmpywcL6RSMAkjuLxaw3YDNFXm1GKejKWPMWAMkU5pPH2qgusFfPqcjBcIZg/tYVIdT3BXrO92+MEbmziuYKc+tZhHlrWExf1h4/hcbsxp8sbVfYIwQtcUTi8VUBSZN67t4wfRoKBBodV1kWWJ00uFQeKWSMZ/+tQUjisKqmIk0qaKJEmcWMgzVUzRt32KWZPLt+vc3m6RMmT6TsC1jSbX15sYmkIci04zcRzjhzFz5TTPnZuh1uyzttNhu9aj3nZ560aVlKGKxPGpNIWsyTOnK2zud3Ff36KQNcmmFD7/zAKmrvKdV9ZxvYDpksVTJ0pkRtoAK4rMhZUyy3M5PvPEDI4XkTI1iGJsL8BKaeQGQe0/fm2d9d0uyiBp5PhcDs8L+ed/cJmdWh9Nlfm1L5+k1na4vFqn1nIGAZkspxYLyZrrOz6XVxsiadzSOXu8eNdEjPeLpZksv/blk3Rtn6n8QUJOs+NyfaNJFMWU8ianFgt3Pcd0ySKXFnJu+LsOcWqxQK/sI8vSuyah3A3v9/gJ7g25jMEXnppjY79HpWBxfqWEJMHtnQ77jX1MQ+HMMTFH7+Y4kWWJs8eL9JyA/Uaf7726jueHNNouGUs4Wb/0zAL5rEGlYI61rzc0hSdPChnR6Lhcvt0AYHFGBDpX5vNMF617ngcbux2+/8YmYRgzU7J4/tPT5NIG6iCpe2Ovw5vXqmiqLIJ4mpIUkKYMNUk0GgZLdE0ZyD6Z88tFspZOyhQOXlWRku4ZmioYwVVFRpElJElCkWX8MCSf1Tm1WEBVZFa32zQ7LromvmfqKk8NZOSVtTpvXquCJFHImSzNZNFVmSCMyGcMnjxZQddkijkTP4hw3IDbO23WttvkMzpnjhXH1uAQr1za4buvrBPFcO54kV/7yqnkMz8IubRax3FDDF3h/HLpSB1gFDc2mtRaDrIscWqxkASuARodhxsbLaIoZqqQ4sTCQXJfxtL5lS+eoN5xyaVFcq941g/PITddtMhZQiaZuoLjBmO6ynCuGbo66ZTwgNip9bi12WKr1sV2QipFk6dOVdird3nnptApay2HKBZFi52uhy2J9bI4nePzT89i2wHudZ+uHdDuubx1vcrz52aEPqEoPH1KOE2GushTJytAjK4pR87P+akMxaxJFMWoqsxb16u4fkjKUDm3XKLvuPyz37tKp+eRtjT+Jz9/ltIRSUhhFHN5tU7P9tHUYYKYNrZOTUNNAi+jujGAJEmJPJlggo871nc7bFd7IMHKXH7Mbvi5F47R7rr85OI2thtiWTpxEFHvuLR7LmEUkzY1LqyUUWSJvUYf1wuod1xubbfZa9h8/41NMqbOVNHiV796klLWopjVSY8kFWmqwpMny9gDWS9J0h3rdIIJJnh4MI0D2364zvqOYBeyTI2nTlZY3WlxdjHPpfUWP3h9A01TOLtc5N/+8XU8L6SUN/nGi8eTRLpC1uCZ0xU8P0RXJb77yhq3tztomszTpyrJtSVJQpEO9O2ZqTQL05nEDj1/rMhWrc9UweDyrSZX11qEcYimyvzuD27R6XlYhsrTZypJ27ATC3l+7+XbtDourheyXe3R7nkgwfJsjqdPTeF6Qp/4jz+4yeXbDWQJPv/MHCldT2x2VZHwowhNkinnUyzOZPH9MNFx+46PpilJAiWIIuortxt0+h7qICn96VNTd/j3DuMo3X1YKPJuOnXG0nnm9OB+BrbMvaCUM0mfriT3c6++iWrT5tZWiziGmbLF8dncPR03wUcHQxu/7wYEQUg2rdPuepRyJueWS6RTGp2eWDuxFPPapT1eu7pHNqXRc3xSukwYxiiSzNdfPI7nRdTaffIZkwsnyixWMrheSLPr8tKbW/zozS32mzaKInNqqcD/8tee5IkTZW5utkiZKicX8iBJrO20Wd/tEIQhc1MWpwb+8bshnzF4+tQUnh/yzs0aV9eEv+258zNjZCoPiqPW8oPaA6O61fJcLikcf1SwzANbJ2WoSRHtBBN8EvHjt7e5vt4kjmOeOT3Fc+cWcb2Am9sd2h0XSZFYKlm8eGEGgI29Do4b8OSpSkJyMrpPTxctLqyUUVUF3w85NptBlST+6JU19ps2nb5PytB44Yk5nj5Z5p1bdXbqPd66uk+j6yIhCq3OL5c5NpejOCjOjKKYq+sN9up9tqs9ZssWM6U0F1ZKrO912Njr8R++fwPHCyjlUsyXLVG0IQnyl51an//80i2eOV3hqZNTdzyHDwKjcvp+dJQ4jrmx0aLedpJ41GFd5+xxQVQ0VXg48nQYK7Id/67+qUeFVtfmn/3eVVpdl5Su8j/95tmPXdx2r97nt//wCn0nIJ8x+Au/eI5MSn9gffVholJMkU1rBKGwTS6t1nntyh7EouAhiuEnF3eJ44iTi0WeOlFir+li6sod+30pn+K/+5UnuLHV4q3rNa5vdNB1hReemGahkkHXVRYqGbq2T9bSaXQctvZ77NaELXN8NsvTp8vMlzOkUxqvXt7jJxd3Wd/toKoSlUKKC8sWp48VMXWVqaKF7fh86kwF1w9Z3W5zfaOFoXU5t1Liv/vVp7i+UeedGzXWdtus7nY4s1Sg2fGwDIW9Zp/5cpqnTpaZr2TuSqghSaK4LQwjZFnG0FQurJTp9lxubXfY3OsiyxIn5nPksyY92+NbP7qF7YbkMzo//5njid2oKDK1lsPqVosgjtFU+ciYyAQfTQxzdOKYMb15GAeUJNhv2uzW+izP5ZgtWfhhjKrInDteJJ810RTov+6xU+3Sc0OmyxYpQ+Hs8RKKIrOx22Gz2uXaegtNlVBlMfeXprMUsiZBGBKGMZoqYZmCuLTa6rNd7eIHEYah4nk+za4viCUrWbaqbRwv4MptEd/vuwGyJPHLX1jmqZNlWj2fP/nZhugiHEbc3u2wvtfjylqTrz+3mMTfL6/W8YOIdErj3PHiRMeeYIIBai1BQljKTcgDHiYurJQ4e6zIlbUG/+kHt/gLv3j+UQ9pggkeKTRN5nNPznJto0kmpXFqsfioh/RAmClZ3N7tIEkwcwRB++OAnKWzxYCANoZ8Pv/uB3wE8cVnF3jlyi6ttsvSdJpj059cYuoPPZvzr/21v3bP35UkaVLEcQivX9tHUxS0lMJ2tc9OrScKKwYJ0IYuHEqVosXabidpz1lrOixNZxPHiyJLdG2f3bpNPmOwXe2xuddlumjhhxH5tMF+w2Z7XySW2V7IXkM4PmfLaV6/ssc3P7eMZWrc3GyhKqJwot526fQ9spZOFIuWpcUBW4TthThemLTzqbVcFmdyY2PqOQHb1T4gWi3e3uny7NmZsWewsV9PAtx92+dnV/YwdDVh613b6aBrCookkdJVWl2X29tt+k6A7QY0Oy5RHDOrpdnY65IfFHQcBUWWkGWJZtcFRCui9b0OxWGXkcH3dmrdpD2rH0R0bP/IpLYhNFVGU8Vvpn/4hCafaLxxbZ8wjOnaHn0nYH4qTcoIqbacsa4ZDxPD4MK19UbCBOcHEY4X0u7ZCVt+tWnj+RGFAUPLcH4OoSpystYPI2fp5Cx9kLwViranksxOtZfMb7EeDeptl1LOpGf7qIrMykKeWssljEXb8P2GTTqls13tUcqZtHoeqipY2K+uNQRjDAoxorjk9atV4hh0TaXZ8ai1E4c6+wABAABJREFU3LEiDhCB66PGnufge7v1Puu7or1XGMa8fnWf43M5Lt2usVPrJ8/tO6/cBmR2631sx8f1Ao7P5tlr2Mk1Nve7ybPu9D3qbeehBJbvhoyl33F/63udhIG83nLolry7/n7AuzKOv99k1kky7AeP/YZNGEvMDZjhWj0PCbi93cZ2gwELmsmx2Xev4JYkiUxK409+VicMY9o9j61qj+OzWUxd5dZ2i28eXz7yWFWRsUyNi6v15L2NvS4zpTSKfH9J0UNZCWJtXjhRTuZvu+fRsw/2vHrb4eSgSCkIIt66UU3k3hvXq5xcKLBd7WHqYo5vVXs8f+5A+d7Y7yaFdPsNh/kpMd6NvS6zZYueLYKuALWWQz5jJIlgcQzb1R4nFvKoioyuq1y61UgCbG9c2+fUYp6dWj+5frVp89y5QQchTWFjt5Pca6vr0ey6ie4yih++sTXMVePy7QafqXWZLYv72Kn1cdxh2/WQ3Xo/6VpyFLq2T60l2DqiKGZ9tzNWxLGx203kR7VpM12yxhLRdF1ltvzBqvGjMumw7Hq3/WiC90YUxaztdkRSQc9HQgSxX7uyy0IlSxRLdOwATVPZr/eJ4gg3jJGIAZlr6y0++1TAldsNNE1F8SJWt1pUChbrex2mi8LRsLbbThLC77XIZ1jkdXunjTtIkrBdUVj25vV9Oj3BnN3r+7z0zg6//PmVO85Ra9n0bKGr+0HEdrWXyIi7zZ1R3XiCCT4p8HyR7AxAPL5mAZpdl9WdDhnLpNPvisQmSaLdc3F9oef23ZDbOx0WZ7LESLT6AX4QIxGx79r0HZ9jcyqtrofnRSzexfmlHFqbExk/wQQfLA7vh2MJiWWL6bJFq+tyfb2Z6Jvf+ek6i4Ouj/WWw62NFmeXDwIkwyS4Vy/usFXtow0S4v7gx7d57qzQfRsdh67tJ/v91n6XM8cOzpFK6ZxcFOP64VsXBx1zFX789jYn53OkTJ2e4/PSW1ucPVYS43plPSlI6do+f/yzDT51Znog1zpMlyw0VWGn1k0KzaMY/ugn6/zC54Qesdfo4wfhoEBZ2NJPnZwaK9g4Si41Og6dvtBNgjBi89D93A279T6r221sRyRV5zNG0g34vTBkOL1fGIcKUO4Fa7udxIe6W+szU7ISm2aCxweyLGz8Gxs9FFmQCcSA7QVk0zr5Edvz4uplVEWh0XPYbzrISMiKRL3r8MbVKueXS5xaFGuv0XJZmcsjyzI/u7LH2m6HetvF8yPUGDb3unz/Z1scn8slvsXN/Z6wK2NhZ8axkEfVhsPxmehdk58EMUPItfUmkiShqQoXb9Z4ZqRQ7EHR6Djc2m7R6XnomoJpqFxYKd33ee7QrXY6j7yIAya2zgQTAIleA8L3eXmtydOnp1FMDcfxE4KQRtvlxHweRZE5N9Ix7Kji8t16nzCKkRAyqtP3ub7WoGsHSJJMzw54+2adM8dLyFkDSZKwnZD1aod+PySMQoo5k4iYTs+j2xe++1bXpd31qLcc/CCi1nJIGRqtnkut5dAZ/BuEEZap8fatOudXSqiyxOtX95ktWRBLvHltnydWSmMkPB8kHqQgotP3qbcP/JMbe12eOFEe03UeVvHGKJS7xIoeNV56a4dOz0OWRJf6n1zeO9Lv9TjjR29t0XeEX7/VdfnJO7t8/dNLwIPpqw8bo7ruG9f2kxyHK2sNJKRBoYHM9fUG55fLFAf+9MO+dRC2je0edPkSHUgcVhYKwHhM78ZmExBJ78M4geuKruJRFHH5dp1qw2Zzv0vKUJkrZ7i61uCpgR40OqcbXaGPAbh+yE61x/G5HK2ejyTLuL6IDV9ba5JN6/RsD0WR6WcCJEl6Vx9ut+/RaLuJ335oN7n+QUfvKIpp9TymihZv36xhD2IWra7HtcGYh7Ki3raTv6tNh9myP2Fuf4xwt98qndJwvIDdQVw9jmG/5XByMPfrHZel2Ry3t9vsNRyCCGRJ4vZWm6l8Cs8PyWgKtZaDKsvEcczFWw2yaR1VUQjCGNcLaHY9TF2h3vGZLQ1ikzfr2G6Iaajc2GiSMlRURaHZ9XjnVh3HC6gURQxjp9ZntpxGUWRWtzt88dlFVne6gISuqWxVu4RRzNJ0lr7tc3WjyYsXZrm11UryKnq2/4Hmd0wwweOGYdz549hJ7FFCkiT+zFdP8X/9H3/Kf/7RLf7s10+/a17PBBN83NHp+yJ3uCTyEQ7nNT4OaLRd3rheTeyfVy/t4rouhvF43cfltVbydwT89//kJ/zv/+sXH92AHgC///IahqoxXdJwA/je61v86S+eeNTDeiT40HeWP/qjP3ro5/wbf+Nv8J3vfIfNzU1+93d/lzNnzgDw9//+3+ff/bt/x+3bt/l7f+/v8bWvfe2hX/vDhnqI/eLdGFVkSSIcejgkOEygoCojb0giqCTJElJ08P4weOMFEa4fCjZmL6A+0ibsMCPHkKnh8PuyJDH2lpR0Rj16TMBR/s3Dt6weciqJ6xx+TvL42A79+244zDxxFBPF4fc+qK4OE7x/DOflwTwdzo0P/tp3zqXxdSIdWqcPMqbh3JMkCWn0miPXOngGJOtQlu88dvT18NyHA7qqIqMc8uveK9PTYRyOxQzb/irS+AeypFBr20SR6CbSHSSKjj/Lw7Lkw1+Th+XAoxjDBB8e7twLodFyBAst4Hc9Gh2HY7N3T+wfO9/h/Wqk4PHdIEnimGiQ7TNY5veNwwFG5T7Wl0QSXxGtkBVp7M277ZkH8urgXu9YR5J0h2wcvb48OHyY7CTOwaHr3/340fEcxuFnr44ENA9/9l7r/fDHR82fd/v+BI83hus0+d0HS0SR5GQvlBHGtjTcrGOIxT9EUYQsH1rfkiz0iHdZq/eDo/aww0kT2l2SvCb73wQT3BskaXx/PGrPk2U50enjeLA/xBATI8Viw/ODaCA7pEQmiFMP/xOYdE6aYILHC4o8LiMO65uH7fAhVO2Qza6O6MrvoXOOYvS7iiQhy8rIZwfXUA77Fu/i01APFT6oIzJJlsb1lnv1qT2o3V9vObS7Azst8Ki37Hsu4vgwcdiHOvE1Pt64F7tTkWQCQoYqwlAEDFmXR3X94TKUBueWZZlR95kkDfzsh3SNg3GID6SBjX0vtoM8NEKGckl6OLpFpyeSpUEUgVebfeD+izju0K0mdsgEE3xkcIcek7gApYGtM/BjSry7gjICaVycDfQVKZFn0kAvGRK1Dd9zHVHAEcfQcwKiQcL24bjR4X/lwVgP5OZIXGVw8tHxD2XzRxmHxeQnXdW4V7/X44zD96goH90fXZIONnVZ5iDgwEHMf4i77flHxTOPQhKDQeRVjK57P4RGxyWMIsIoxhl2Er7L+j6s4w1fKmM62IjMGcZtpXe/l6M+uyOucuh7d/7e46/vJf9hgscTo/NwGPM//JlyeN+TGX89ulfLoqvnEJ2eT8/2BUGrHdCxfcr5VJJ3MDhybByaKuP4w2vLjI5qOFcPx/nlkYU//M5RuRYTTDCBwLCIozQp4njo+OxTc8yV02zXevzhT9c+sQnGE0wA9xdj+KhCYTyn6OOiB1uPYYHZYZtU/wTHsj/0O19YWLiv/+8F3/zmN/mt3/qtO77/uc99jn/0j/4RL7zwwgdxKw8Fra5LrWUnTBDvhRefmMUyVCQJludEZ439Rp/r6w126z1qLZtm2+HmZgtdlXG9kJ7jszSdRVMVGm2H6+sNqg0bSZJYmc+iyBKzpRTlgomiSJRyOn0nwNQVsmkN1/PZr/cwVFFt7wchM8UUra5LoyMYsf0wotP3mC6lyKQ02n2P3VoPTZXp9D2CUDBWlHImqioLoR7HvHl9n2vrdV65tMP1tTq3tlpUiiaSBLoqkbU03ri2R73VT57ThRNTVIrCECznU3zqTIXFmQw928fzQ1YW8hyfy2JoCpIEs2WL43M50imNIIyYKpiU8yaGrnB87uhkWtsNqLVsHFew8i1OZ8SYNJmVQWB3+Nvt1Lp0ei66KpLnNFWmb3vs1Hrv+Xu6fkitZSedRUbxn354k3/x+5dpDQLLEzwcvHhhBstQyaU1Ti7mKeUMijmDqXfpnPKwsDSTJWWqg7lrUsqZLFTSpFMakgTZtM5M2QJiwajSstmr95PjnZF5eRidvsd+o08YRSBByhCdMyoFnZ1alxvrdW6s1Xj96i7GIKlDkSWOz+ZQFJmV+TwSEromUymmsEyFs8eL6IP1apkqrZ7LqcX8gO0Gzh4vUilavHB+loylEccRGVOl3fe4vt7g9naLarPPXr3PfqNPtSn+rbVsPD8kCCNqLZvbO22urzew3ZCFShqISRkKT54oU2vZHJ/PYRkK7Z5LNq3z+WfmmC1ZGLqCZSgsVkRLY3GsQKWYwgtCPD9EU2WCIKTa7NPtP/h6cryAjd0OG3sdrm80ubnZIhiwfRyF5blcIofmK+kHZrCJoljI9o7oCNTte9RaBx1cJvhooFJIoWsy29UuQSCYj7qOT7fvcvV2nZ7jks/cO8PYCxdmsJ2AvuuzMpdDVQTT1KfPz9z1mFbX5cZGk1LeQFFEkseJhTyyLBFFMfW2Q2OkCHMUojOEjR+Eg+tPYw1k04n5HJoqJwVTUwWTrKXR6XtJ++7helBVmRefmCUIQ4Iw5KmTU3Rtn+lCit26WP8nF8bb+B2bydLsOGzudSjnDTp9l57tia5EcUwxZyBJokNALq0jIZHP6EgSY2u/2XFY3W5xfrmEH4T4YcjTp6bo2gEzJUskoasys2WLWsvGdsQ9i45cYq1ausyrl3d549oeV9YavHJph3bHptay+eKnFmm2XbarPZ44UUKCZP8WrLgKnb6HrkrYrs/qdosoOnqdWqbGfCWd6BbHB7pF3wm4vt7AMlV0TcjahenMPcmPZkfoeM27/MYTfHQgSZLQ4yUwTYV8WieXNvjGi0tUm2KfNzQJWY45uZgbMPCKYF4cRxSyOi+/tcV+s8+VtRq3tpqsb7e4dKvKykyWGNEa/eRCnp1aj+vrjYRlDwYMVYM9udF2iOOY/mA9DLtvzE2lEz0+ZShUihZfeGqO2bKFLIk5/4UnZ6m1bFqDjnVDlPMmubROp+8hyxILlQ+m7eVwf9zY7XB9vZG0ip5ggscFmiqzPJtL9qcTg/0xHMxtgOfOVIiJ0VWh3ytSjGmoRCFEcUwQRgRByPpOh3rLRpWBOCYIQ+ZKKcpFg07Pp5jRsQyVd25WubHZTJIORhEOdPPDa/pecViOTDDBBHfHqN4WxzGNgZ4exzGvXtrhn//eJbaqXc4s5Xn92j6Xb9f4lS+dIKWrOF7AbDnNYiXN9Y0GG7sd4MBOvLAyxdljBXq2h0TMr335JJv7Xa6vN0gZKpmUxna1i+MGLM1kuXirxquXd7C9kO7Alq82+/ypzxynZ3u0ui5fe2GJSjFFo+OQMlS+/vxiYm/80hdWKOVS+H7IdDHFNz6zzG6jT7Vlc2Ihn8iGrKXz4oUZgjBCluBXvnQy8Y8sTGc5c6w4phv/8Wvr4jnsde94fsP7SRsKhYxBp+8hSdzRbajasnnl0g7ru+2x9/MZA2tw7ZShkk/r3NpqcWvr7vr7+8V2VYz5KPl7N6zM5xMf6rGZ7H2zaz9MDP03nffhU/kko96y2akL/7HjBdiuz26tx4/f2eKlt7f44eub/PTiNp97ehYvCDF1lSdPlNB0RXSTLqf58qcWePJkGVmWCIII1wt56/o+O7UulWKKhUqGrKWiaQq6LjM3lebcShFTUXj54jY/enOTbt/lxmaDd25U6dkuKVPD1IUt/PbNKq9c2mGnNr7mRn3Xpq7y/Llpsf5libPLRarNPms7bbar3cRP5fkhm3td3ry2x9s3qu/pi7NMTdj6kmABL+XeO+HEC6IxGQiHdCtF5sR8/l3OMMEEE3wQ8INwrDunN5AhkiTxzJkKiiKh6wqfeWKOasvm+nqDmVIKRRGFFivz+XsmiJotpynlTApZ4TecLlh89sk58hkdWYrJWhrHZjNcW29guwGmoeCHIVZKxUoJuWMZCu2+Rz6jY5kaG7sdVrdaeGGEqsRUW33Wtlts7HXYrnbZqXXZb/bJWTqyBI22w5ljBYIwpt11OTaTwQsEtd655RKuHxJFEavbQs9odhwR5wzv1DcaHYfdep+r63XWR2TbEKKbSYNGe9zvN7QfR+04zwv52ZU93ry+T7PjUm87ScffIeIBIYCVEkkehqbcc1HrqO0XRdEHrkd9WDjs9/rS03OPekgPHV9+dpGpQgpZgoVKms898cHeo+MFR8bAh3PIu4v/oNV1OXe8SBBEOJ5PFEEsxUhSjK4qfOnZBQppjTev73F7p5341uFA7vQdnydXSkwVRD5BpZjiiZFOX7t1kVvxvVfXuXSrhu35zExZZNM6QRAhSaJ7dqfvUiml6DkBuiaTs0R3jrPHCtTbYk1v7rV55dIOV9fqCalUp+/R7bvsVLt8/7U1dmpdbNfH0OXk/4ylsjyXY7qYwjI1FqczpAyV1e0W19cbXF9vcGOjSbXZp9lxsUyN6VKKTt/D9X1yaZ1G2wZiUrqwb2JibNen0XZ4+lSF4kBGzpbTnFkqjj3nlblcEoMYXrvRcY6UGRN8dHC33BLbDdit9bi0Wmer2mVpJkPX9nDcgONzOZpdBy8IWZkX66XWtqk2emzvt2l1HaZyJq7ns13tUhsQHTh+SKvrcnI+z+2dFre2m2iKjGmqGLpC3/FEtw1ZotV1WVnIE0difzyxkGN+ysLUJTKWyomFPJ86XRnE9VRmyiniKCafMfjskzNcX29gqApZSwNizh0rMFU0uXy7Rtf2KGcN9uo9ZFkUf4ZRTNf2knV4N3nyoEhyhd7Fhzok8Ztggo8KhjGF8j3Y1BPcHxRZ4te+chKAf//HN47U5yeY4F7xbnmijwMyKY1MSuHN63ts7LU/kuRI74VczuCFs4Wkq8jnzhcfuy4cAE+dHNfv/2d/+slHNJIHx5/+wgqdnsft7RaGLPHlZxcf9ZAeCO2R2NqD4vErwTkCdyvSeOaZZz7kkdwf1nc7SYvvdKrP+eXSezJEVYoWv/H10zQ6DtfWm/zsyh5vXK9SzBg0uy5njxVY3+siIeGHEdmUzvmVEs0BS8Qfv7aBH0TU2w5Pn66QS+v80udXePXyHju1HvVWH12TmSqkeP3aHr4f8uaNGqYm0+75lPMGPSfg5laLrh2gKDKqLNF3AxYqGdo9j2qjzx++so7nh1SbNueOF2l1XTp9n2LWoFJMsV0TLd27fY+dWp+ZKYvdao/5qQxpS+Obnz3OOzfrvPzOLrYTkLV0vvSpBSyzx4WVMt/87HLyTOI4ptlxSadEgmOz43BsNsczZw7auTtugOOJ80gSnDlWvGs7p27f49JqnTgWFYQXVkrMVzLMjySgbe132djrslPvcX29yVQhhWmofPW5Rb7/s42kPenz56c5P9L2eRSOG/DOrZpozSrBmaVi0u71//Y//pSLq3UAXnprm7/5v/4CmftI/p3g7pgqiDX0KGBoCk+dnBp7T1MVnjhRZnW7zV69TxCEtLser13ZJUbix+/s8Od//izFrMml1TpRFCPLEueWS2QGc3633uf2dpuNvQ62G8Bg7sYxfPe1LaqNHsO6DwnY2u/z5MkpFmcyNDuizWiz6w7YeQUzxuIgQSCb1lnf7VBt9IliUbl/YiHPueUS2UF74GLO5Ne/corff3mV9d0O/+Rbl9AVGcvSqBRSmJqSMAdGccxsyRLrT4L9us3bN6vIkkQMPH92mufOzTBdTHFzSwSBv/vaBiCRSxuUsiIRLZ8xMQyVYzNZjs/mxtZn1/a5ttZEVxV26z18P+TK7QaGrrBQybA8n2O6eH+tVW034KcXd1gbFHGEYczCVIaZcppvfvbYkaxa6ZQ2JoceBHEcc+V2I0mU0FQ5CYobmsITJ8t3ZQ+a4MNFq+ty+XaDIIh459Y6hYxJq2Pz1o06uq6wWe3x7KlplufuLYng4q069UEi116zz1efXySla/jB0c7zWsvm91++TRjGSBJ89fmlscTpq+uNhG22UkyxMpLMUG3a3NxsAWKOPXmyLGTlV0/hB5FI+NwQn59YyJOxNGw3JGvpvHWjSuBHmIbKtWKKn3/xGAAXVqaw3YAbmy26tscbV6vomoKmyrxzs8bnn55Prv/G1X1+dnWfKIp45bLDEysltqs9qi2b47N5TEPhubPTbFV7rG6LBKx0SuP5czOJ3rTf6POHP10jDGPqHYezS0UMXeH6RoueHST7ueuFXNtoEkcxm/tdZkoiUX1xOoOVUvl//vbP6PUDmh2HlKEwW87wn38Y8bVPL/EHL9+m1raRJYnff3mNYkZH1zXOHCuiKjJeEJG1dH56aU8EpVWFpZkMX3lu6cjfbHE6y+L0QTGp4wV8+0e36A8E9vPnp3n2zPQ9zZfdep/vvCLuX1EkvvHCMSr3Kecm+HDx1o0a9bZLOZtivpLm658+xv/wO29x6VadvXofRZaYLqe5tdWi53jEEUSR2EvXd7vc2r4zofHmVptq0+EXv7DCEytlrq+3+OmlHQBSxj6/+PkT2K7Pjc0W29Uefcfn2EwO01BEQXks2A6eWCnjh5EowrZ0XD/C9QKslM5/88tPAGJ/urRap9sXDqbZssWxWeGkcf2Q/kB/j+KYnuM/9KTD4f64Xe3y2tV9TF2hmDX48qcWWZq5t45HE0zwUcB0yWK6dCCvoyjm0q0afSeg3XPp2j5WSmOnGlNtdXD9iGDAFBvHEIWw33LZbx0k7EiAoUvUOg6VQpogjHj7Vp31fZFcuVjJcmwuy8+/eJzUgJUlisSaHhZ8LUxn7qsAq9V1ubrWIB7IkQsr5eTcE0wwwTgO620r8/mEnfLK7RrffXWDKIbf+/EqSBKeL+y//99/fIff+PoZluIskgzf+vFakiC5MCA2AAijiJ4bJPvyy+/sJuzW+pVdokgiCCM6fZ9b2y12asKp/NKb25TyJlEESCL5KZ0SNv+1tQZZS6OYNZNCrefPieLybt/jU2crxHEFWZZ4+/p+Qkbyk3d2KOZMiAWrZyFr8vMvHgegkDHu2LOHr/8/v/MW3399C4A/+dkm/+f/1WeZLQmZ9PrVPd6+UQPgDVPl2EyOrKUTIwpVTV3Inp1al9/6vSv4QYQkwZ/+4gkurAj/3EzZYnk+L4rQFZlrG02qTZEQubqV4WufPlp/f1C8c7PGz67sAWDdqPFLn19OxvluyGcMnjt7b/bAB4kwjHjnZg3XE7/9sdkss+X0exw1wRDVls0//dYlXC/E9QUxUt8NuL3dwQ8E+ZIkifWRs3QWKhlUVWZtp81MySKOJebKFlMFi/mpDBlL53e+d4PVnTadvkcxa1IppNjY65BLm5RyFrIkUSlY/McfrLK61aTV9fHDkB+9uY2hKwRhxHQhxdKcj+cFVFt9Lt9ukk9rlPIp/ouvnWZlPj/mux76088vlzm1WODtGzXqbYeX39mGGDKWzunFAudPlHnj2j6vX9ljbbdD1tJZnsvxq185Sc462rddypuszOexXWG7v5c+HwQRv/fSrUTWnFsu8unzs8CdutUEE0zw4cHzQ965WRO+a0ns69vVniBBkuD0YiGJjazvtvm9l24TxzGaKvPNzx6nkL2/ZDNVkZkpW7T7HtMFi2pTFDKU8ynyaQNTV/jB61sYusrv/fg2K3M5ek5AytAo5hTCMKLd81jfaYsCjr0uF2/VaPc8PD/C8wL2Gn28IOK1K/uiy4csfPLZlC5io4rEd1/d4OR8ntXtNoYuklqncil8P+LtG1XqbZvdmiiEVGSJZ89MkzJVLqyUk4KVW1stdqo9Xruyhx9GTOVTnDle5MULQrbdze8rfCN3+mb++R9cZqfWp+f4lHImn39qnqylc265mDCMXltvJqRR5bzJycXCPT33w7Zfo+0k+uSNDYtvDHS9xxGpEb/XxxW5jM5/+6sfTmJP3/G5eEvENAUpXGlQdOBwbaMJsVjHT5wsY4z4Ddd22uzU+uzUe2TTOi+9tUmj46FrCkvTWf76X3yRnhPw//jnrw50ARG3+HM/dwbHC7h4s04QDuTOUoFf+NzyHWO7utbgJ+/s8OaNfbb2emRSGum0xl/85SewDI2LN2s0ui6yBLqmsLHfpdtziZFImSqmoXFzs8XbN2roqsSrV/ZRZBnXCzi3XELXBMneG9f2sR2frWqfTEpFkmSePFFit9Gn74R0+j5ff/44uZH4/w9e32R1uy0Ko2KR4J5N6Tx1aopy3qTvBFimytpOh1bXp9P3KOdTFLIifvrTS7sDWbHPV59f4pffhSk8Y+lj8Yebmy2qTZEAnM/onD1+/53RJvhgcZR+ns8YSW7La1d2aXU9pvKmKPopWmzXetjbIdmURnpWp9l1+d5rG/zhK7fZ2O0SR5DSBYlbpWChqTLnjpfIpnU0VWa/afM7379Bs+siSRKbez0+dXaaWsshCCM0VSaKIq6uNWn3XOodG0VWUFWZLzy1wF6zhyLLbFV7PHN6ijCO2NjrAhKFnMFvfPUU33t1g72m2LcurJT49PlZ+o7H7728hu0GbOz1aHVdijmTjKmzMJ1mbaeD44W8cnGXuak0T5yc4skT5YcSh2j3PK7cHs8VGhKthVHMxdU69sCHujg9nkM0wQSPEvVBsW/5QyCv/STi515Y4p99+zK79T4vvb3NF5+5N1LyCSYYhe0GXDxiL3+c0O06/Jvv3aDT84EWiizza1859aiHdd/4o9f2k7+//dNd/rf/1SMczAPi7RuNsdfXbzR49qm7kwJ/FPFP/9NFtqoi7+Wt1To/eGODb3xm+dEO6j7R7Dh8+8e3E//Xl55ZGCMauFc88qj66uoqv/3bv82NGzdwnHEGEUmS+M3f/M1HNLKjEccx/f6DV82MYmO3mbC4u65Lvalhmff2k2zutHEdl639Nq7j04hCXC/i5maDTi9A00Sib6fncmI+jeu6rG0HeJ5Pz/FxHJ+t3RbGfI6bmzXWd5oAtLuCXcG2XWw7YLPaJQwj+nFEFEf0nICpvGDtUyQS5i3PjyimFVxXZr/ewbZdHC/EcXzWtlsYuoLjelg6bO66vHOzThiE1NuiMn6/3sPzIxpdB0OT+ck7m+zXhQOx73p0bY9Op4/rKtQaWhKchkElfOMgkW1j12MqN/4cd+p9+v2D+bWx00CbP3rBbOx2cZyDJJjN3eYYwz/A+k4Dz4/Y2GnhOD62LRMGAa9c3KDdPbjO1dtVjk8frSTvHh7TbgNdEWO6ut4gHrBcNDsub17f5tn3mQw+wUcbQ8cYwNu3agRRjCJLBGHMxVt1zi+XEuaTIfP0sIij2hRdGfpOQNf2UGWZnuOTMhQabZdwhHwiBvpuQKvnUm3aWIaGH4TsNwSbxJCpwg8iNvd7TBVMXC+k3fMwDYV212Uqn6LecpIiDoC+47FXF6wTYRjT6LsYuszGbncQ3I9xvJBC1qDd85BlGT8I2av3iWNodkWXjd1Gn4wlmG6Iod52aXY8MikNRVe4tFrnxEKBuak0jhuwMp+/I3mg3rKJopgojml1PWwnECzFdkQYRdSazn0XcTTajmC5isWa1FQZe8Ai1On7H5hi7XrhGNPlre0WixURzHb9kE7PE0kxEzxyrG63CYKIKIppdjyIJXZq/QF7toKswKtX9vjMU/PvfTLg8qCQzw8ienbAXt3m+KxGtWlTKd65r9zeEcVFIJI6b221kuRL1w+TAg4QMmOsiGOEvd4PRABz6OBp99wkcWx4bDBI7gbYq/cxdRXTUNlv2LR6Ho22OzjWo9PzyKY0ml2XnKWjqTq3d9pjRRzvDO7VdkNsN6DedpBlmSAURRyOG9K1ffZH5GTP9nG8IHGcrm63CUOx7m0nYLfRF6y8PY+ZkgWRWLtd24cYHE8kmfdsn0LWYL9h09v26PWF49VxA/wgopyP6No+1Uafrf0uMRBL4t42a32WZ/PUWg6qIrqdeJ4YfyaloWcU1ve6RFF0ZKHXYWxXe0kBB8CtrfZdC0EP49ZWK/n9wzDm1nZ7UsTxEUYQRGyOsEpv7ffwvIDra4IdP4wEG6LnhTQ6HvKgCDJG7OPv1ojp4u06X/v0Mbq2z82tVvK+7Ybs1HoEYUQcxXQGLFE9x6fatJkupVBkmTCMaXZdbDdIWohGUUxjwPZ2cL4gSRIAqDadJFm02XETGUEMtaZD8T6TMd4Lw/1xrykYLG0nppAxuLXVmhRxTPBYo+8GSSFFu+exU+/T6rj03ADPj+6JCTEGgjCm0w8wVBdFkXB9cXwurdPqurS7BtVGn6XZYScof6xjT7Vh31cRR73tJDIjDEVXgdQkgDnBBEdidURv8/yIa2uNJDnmlUt7hFGMJEm4fojjhaQMsf/e3u2KBQ7Umw579X7iG7t8u54UVWzsdml13CRx4c1rezx1SviTtqt9NFUhlxa2/Ds3a4nev7XfAwkKGVF0cfFWjUpB6JOr2x1OzuewUvrA1mgzNyXWeK11sP57tsf6bjc5/7W1Ji8+IZIPHTekZzsJw/5+w77rnv3mtWryt+2F/PDNLf6Lr54BRNHqELWmTdpUKeVSQudoOcn9XLzVSAgQ4hjevlFNijhMXeXpU6LoXEbc6xCb+128IHqobbtvbjaTv/u2z26t/0BO/EeFTt9PCjhA2ISTIo57x5XVevL8HDfg1lYby1TpuwGuF+D6ofD/BRG7tT7plI6hyew3bExDRZElGh03sfHXdzq0ei6uJ/T1/WYfEPq6rinYrocfRGQsnW7fpd52B7qBKASNiZEliZ4TUG3YEEOn5xJFMT0nIJ+JeedmjZX5PI2OO+ZnqLVER+5mR1yj3XXp2T6yJGGZGrW2w+Z+l2bbSXQDxwto9Tw2djvJGjwMVZG5cKJM3/ExNOU9E69qbWesc/Xt7XZSxDHBBBM8OrS63kHn6Bhub7UPSOti2G/aiR/75mYrKTL1g4jbO537LuIA4W8Y6ke79f6AVMInjmFtr40fxuix8GFcXW+yUMkgyxKeF6KqMmlTI0Zit9ZjM4zpuyI+0u37NLrCJxpGEX4YocoSqqKgygo79R6FnImhKkRRzNpuh64doGsKrY7LjtpjYTqD54XcWG+RsXT6gxiFF4TgCBtsGF+pNm16jp90QQ7DiNXtdlLEcTe/71G+GSulJUUVrheyMyAS7PQ9XC/ENFT8IEoKOEDI1RNxnBR4vBuqTTvR/Xw/5Np6M7mPnVofxwvuqVh1go8/mh038WEIPcIml9ZFLGIwh4JQzMWZkQLMYXF1u+fRt332Gw7SgHl/fa9Dp+9zc7MxpgtcXK0l17wXn+SQ0Kpat5Mup3074Mdvb/P0qQq7zT5xFBNFonDJdQMURUFRJJodF88P6fU9NE1hY6+P50fEcYgkSdzcanFmqZj462stB+IY2w0xdLh0u04hYxIMYrrXNuo8f06s9SiKWN0RcaZO3yeKYzRFwvVE15uNvQ4pQ8N2ROxir9FHVxXaXY9CxkgSAofPfDRG9F6I43gsTiRkeoimPrpugBPciXrHOVI/r7Uc+o4vYpNAtx+w33IwdSHzWx0Xy1AHHbpt0S2v5w+Io2LcMKLWEv7/TEpjp96j7wSkUyq+H1BrO8hAREy759HsivN1bZ+UodLp+zQ6Dp2+R+DHeLFP2tS4ttHA90NmBvbjza0263sH3aZaXZfXruziBWL/JobdWp+ZYpqX394ijCLCKCYMo0EHPomUrrLXsNmq9RISyb2Gzdkgotl17zv+fxRqLfuusZG+4ycFHCD0m0kRxwQfFdRawyKOSe7IBwFTV/nlL6zwL/7gCv/2u9f5wtPz96Q/TzDBKBrt8b283nYeuyKOi2vNQQGHwNs3a49dEcf3Xr11x3tXt2qcmb+33JyPCg5HjP/Rt97i//2YFXG8NhILiuOY3/3hzceuiGN9t5Pk/xPDza3W41fEcfXqVf78n//zTE9Ps7a2xtmzZ2k0Guzu7jI3N8fS0sNlPnsY8H2fS5cuPZRz7ey72K74ESUJ9GAfVbm3TX6/5VPvBLQ7Ae2Oh6XL9L0ITZLpdiNURSKMYlRZYn3dFywxxFSrHl4Q0bEjWrrNetiimJFpNl2CIKbXD4mJUWKVTjeA0CcMQ1SEg0QhwHVsfN2jUXdRFJAHzIBa3EKRJFK6RLXqEkQx7V6ILil0kTB1GdwGuiZh91zanYDQ98VEViT8ICbwItqdgJyuYNsRfhDjuCGSBLu7W0gSaME+2shzCqOYzR2HYadeU5e5FOyPPa+OHbJVO3Do2DkVp6VxFBrdgL3mwYbjdzXa1UNFIVWXnhPR7Xi0OwFKJFg1MrJOteYlklIOVC5dupMpGaBrh2yOjKmfU3EHY5JjP3F4yxJ0G1tculQ98jwTfDxg6Epi9BcyOs5IIm8pZ2Do446y1Igj3NAV5EFBlaYqyJKEoSvoqmCD8iWSOSkBsiwCpJahoSoyiixj6gquJ9rmgoSiSGQs8bkkSWiqjCJLSSD18Hh0VUVXFQxNjEvTZBRFQdclVEUiRsLQxfU1VbDxyxKYhpJ8HyBlqGItpTQcLyRjioD1MP85mz4oHDFNlcIRCu0wSCBLEpoiY5kaXlcksMmSlFzzfmDowyCyj6YqKLKEqsioqkxK/+CcmKoqI8tS4uzOpEZYC6U7f4cJHh2y6YH8lsV60TWZlKkiyTKKAiAxVbx3p0k2rQ+KGSQkiaRo627zN2eN72mjRVaqIqMoUmIQHg6kmbpKm4P9aJT5yjj0XUNXxo43dTXpBqOqYr0NO8boqriuoYsAhzLYu0cTwQEKaZ39Rh9NEfeaMlXC8EDOSZIYk6krdId740DeHdy/kAXS4DPLUNE1BXWw7odjHwZxNEXIu6HsMQyFdMoSLcdjkGUZTRHrT5YgbemYhorjBUiyhBJLSeDZ1AWr0PAZaKqcPBPL1O6pgAMQbaJH5HUmdbSecvSx+qHX937sBB8+VFUmZShJ5zZjMIdEl5sAJMQ8U8T6jeMYWYIwBgUIudMoHyJnic3W0ETr8WH7ZCQxL/pukOzrw3WKqSbrZDiewzAP7/sDRrnh/jR6zGH2/Q9irxruj+nBtYby5fBamGCCxw2GdqD7aapC2lTRNaGHKzKJzftekJDQZLHPSYhkI0MX+5GuiX3ZGtlndE1J9kAQ++J9jfvQOjcnXTgmmOCuGLVpJQmy6QObtpA1aA0KLRVJQhnRI1Pa+F471GOBpGhi+Lcy4jPLZw/Ob+rqWAfg0X3TMOSx/X50nJahoiojn43omqPrX1eVMV/F0EYCUGVp7PzvZpfn0nryHCQJlkYSInKWRn+Q4Kiq8pi8GR1LOT/uKzicGKoqsugaFkUYupIk2acM5aEWcIBguE2SzKTx3+txgKErY3bKJDHz/lAeId5QBraqMtBlVUUmCCMUWUIa+PIMTcbQlETfBbFP5wfzJpfWB5+JNCpTV7BMBVUV9rSuKsiS8AdqqoqmyPhhhIywbRVZJkb8q2syKUMVCcWQ2LGlwfo5bAMMXw/Xr7C55SRpQddk8mkNTT3woQn/mfSeeroiv/d3hkib6piPI516vNbUBBN8XHF4b8+mNXr2QYxj1Fcg9J+DuNmD7o3GId0iikWXrTCMyaY0HEfEFmVJSnynkgS5tIksQ6PrQizsF1mSsN0ARRby19AUgiAkQkKN5YFvc+Cn1BXUQcxCQiJraXRtH0kS8ZNU4quQE3++qkgwkM/SgN1/9D4M7UBPkwbxkeT53MXve9g3YxoK6ZSe+HxG4zmKIg06sQuZq6pykmRgaMo9J6CN/o6yLI/Jbl1/+HrUBI8v7vATDHRI8a878v749wxdIbAFu7+hSuiaTDDo5jH0d1aKFrIEQ56LQtoYu8bdxjBExhJkWYau4vghsixiBfNTItE8pas4boCigqKqqG7A0BwyNKEbm6ZKGMbk0hq7dbGuovjAp5+1NFpd0UHE9cKk887QlhqaeqXcAWGXLIv4Sjd0BWlUjIizagqyLJOxlIG/aBB7MFSCME5sw2LWpD2SUJe/D9kqSULuDe2iYex4go8W7oztHcTsdVVJ7Atdk5FkFU1TEpkPwk9o6iq5tIEx9ClIwl7XVQlFkZN5aOgKpqGh9H00VeytcgzIYJkqqiwTxTGGKgopVEVGUyR8GRTEfC9lTeqdA0LTrKVRSOv0BgWIsgRzU2mqTQdVEXuXaQhdv1JKwarYdyUJ0qbY3yRJImOpGIP7hfDATnlIturdnjPc6UM9LMMmmOBRYlLE8cHjT39xhX/73WtcW2/y9s1a0mlwggnuFYf108cx32ummBrbC3Ppx6sIBeCp5TsT7B+3Ao6j8ORK4VEP4b6Rs7Sk4zzA0tTjVxybPWR3PWhh1iONuvztv/23+eIXv8jf+Tt/hyeffJK/+Tf/Jk888QTf+973+Ot//a/zV//qX32UwzsSmqZx6tTDqSA7eSpkY69HEEXMlqx3dVQGQcTOgLF+ppTirCKzud/DdkVLX8cThRuzZYueHdDoOIBEpWhi6AqaLKPIUJ4WLTrrbYdu3yPSDI4vT1OZ9dmp9weBIxmJmEu3G1jpGEXrEcXCMXFyPotpqEwVLRRJGsTwIlo9wW6DDK4kMVOJiIhZUiRKOQNVUQb/iqTn48c8fvs7N4llOLFgcmw2h+sFGLpKMWvwjRcW2WvY/ODNHaIo4uRCnkJGp9336YcRS1NZFippun2fWtvhVNqn2nRQZInZUooYidev7WO7IS+cq/Di+RLX1ptsV/ukTIX/P3v/GSRJmub3gT/XHlplRqQWpXXr7pE9sz0zO5xVwIIAljjylhAE13BH0mhnPAM+LA0G8szueKTBjgaj8WAkjzhwj+ABB+wudhezcnamZ3d6pntad5cWqWVo5dr9PniEZ0RmVlVWd3VXVXf829oqI9PD/XX3930f/fzHs6GDJwxahc+tH6gKgoDNcpe24ZBKKEwe0l1uwXT5wTsbTMoOYwUfQRCYLMSYn0wz2TCoNm3iuszzp8dQDzEYr6/U8DyL+XmJhB4ysEyNJSIn7X+aneaf/pvrWK7HN5+b5ivPz1BtmrS6Dqm4EnUuhLBT0fbA3LhXtzLL9tiuGUiiQCkfi+55EI12r4OCLjOeHVHt7cfDKuLaj5OzWVa3W/h+wC9/7Tj/6vu3WNtpUcrHMUyX3/r+TQCeO10CMeycvVPr0jEcZEmg3jLwgoDZUop0IuzaZ1geqYTKn7+3wdpOB9vxkCWRF86MMTuRxfE8dhtd3ru5y4mZLJuVDkEQ0Oo6CAh88cIk27Wwa1OtZRIEAdPjqZCtxwo72Nuux27V4MM7ZWzXJZ1UuXC8ECZySwKThQQ7PSpzxwHLdtEVkYl8nEI2RjEXIx5TcJywa0zXcHA9D1mRyKd17rRNcmmVzUqXYi7Ov/etU1gOtA0bgbDDhSyJvY78MqbtIUBIpd6xSSQUTMtlohBnLBsjk9SYK6UwbZftShdRFJgcSxy6FgZRyMS4dGKcG6s1CpkYhuWQiClcOnFwjTc7NpWGQdtwSOhySOF+iJDerXW5sVonpslcPD4WOdEGIUsip+dzrO+2kUSBc8fy7NYMLNtjPBc7kAz/JMC2Xd69WcZ1fc4s5B9bJhHfD9jqsUSNZXSS90kmODGT4/dfu8PVpTq5lEoiJqOrSdJxjXrbZHo8yUvnp1jZatLoWDTaNum4GnatFMPipq7lUsrHUWSJ50+PI0sC7a7Dl59KM5FPIEoiu7Uum+UOk72AQlxXKOXjnJjN0TYctipdChmdi8f3jAxJFDg9n2d9p4UgCMzt63g7M55gt9al1XXIJlTeu1mO5mUypnBsOkO5bgxdv5DRCAKBV56fZbvawfMD5ibSbOy2GcvqGJZHJqlyTMzgeQFff2aGG2s1ZEniK0+FLBxd02GnZvDUiQK+ENDuODx1qoiqSCiyQLtjs7TV5NlT4+iazFwxyffeXMN2PV44W4qCFQCnF3K8e3OHW2t1xjIxIKBj2kyNJ2gbNlNjSQqZGLmUTtDrwFfMx3H9sJOeqsh4vs8XLk7y3o1dzi7kSOgyHnBqLkutZfKlSxN8cKuM68EXL04yO54irstMFEL5HTKg2Xz50jRvXd+mYzp844WwINm0XLarXUQxLDKxHZ98Wh/aG8aycb5wfoKbaw2SMYXnz929Sr7WNKm3LRKxkBL77EIOwwp1oWI+fmQGjxE+XTTaFtWmSUyTuXSiwP/6B9dxPZ+feW6GP3t3k1OzWepti5gs4RGwXTVIqlDr+vg+qDL4QFwTcfygVzgZYNs+Aj65jM5f+9YJGi2L926VuXSiAAK0uw4nZjKM5+J4fgA9vd50XHIpnclCglrLpGu6ZFNab50EPSYgh3RSPUC/LEsip+ZybJTbyKLI7EQoW9/v7e/juRiuFxDT5ajj2/pumzsbDTIJlfPHCkcucDoMffmYjCvIioDrQjEXe6wdpq2uHXbXNBziva7h2dST59ga4ZPDdrXLrbU6u7UuHdPBdjwkQSCbVJFEkGUJP3ARerQ8vh/uCYPOUhHQNZFcSuOZ00VsN8CyXcZzcVIxmUbHYaKQ4NRcDtNy+eHba3Qsl91aF1GA2VKKqfEU8xN7usJ+mXMYJgsJPC+gY4QMdfnHVL8bYYTHAecWC3z3R3e4s9FkcSrNN56f4bs/XkZE4G//0jn+23/xDuWayYn5HMcmM/z+j5eQBIH/8JfPs7LdpFw3uHh8jBfOlnj1nQ3iuswvfXmBN67t0mhZXDwxRjEf590buyRiCl9+apJ/9b0btA2Xrz4zzVg6zp3NBumEys++OMf33lrDsl1eOjfB9dU6H94uUyok+Pd/7hz/4k9u4Lo+f/HrxwkCIlvj/LE9XbOUj/PWtR1Wtpocm87w8nPT/NFPlpFEkZ//ygLbFYNay2JmPMHEWHJId7gbfu0vX+Qf/i9v0e7avHB+gkImzm/94CapuMIzp4r8zp/domN6fPnSBKm4xvJWk3RCG+oy+9TJIvWWxZ2NJmPZGF9/ZubQa4miyM88N8M718NmMM+cLg79/UF9B4fhixcnef3DLbqmy6m53JANbNgeP3x7ja7p8PzZEjPFx49RLKbJnJjJslPtoioSc/d4dyMcxJnFApWmyQ/fXqdc72L3OhonYwpSXEEQAmRJIhlTuXBiDEUWuLPRJJdU2ap0kSWRswtZEjGZ197fJJ/W+MKFSS7frtA2HOYmkli2j+cFrO60URWRE7MZ0kmNsYxPMi5zc62BLAnk0zFcz6PZskjGFZ46Nc65hQIr2y2aHYtaw0JTRGaLae5s1PnTN9fwXJ/nz01QyOgRA4vUa14Rjyk8c2q8xxokc2YhTyETo911qXdMdFWimI/z1Mnxh8qWl4yrfOWpaS7fqaAqEi+cvXeHuSfFDzXCCE86UnGVhak01YaJrsnMllJU6kbkBxmW0+O4rk+1GfpMBxmD74YgCNiudtmtG9xYrtI2HSYLCSRJJJvUeOn8BG9f32F5q0VMk/nm83NcXalxZ73B+ESSmfEk11cb5DMaX3l6kjsbLXZqIavXqdksqYTCB7eqGJZLLqnS6Np8/80VXDdgohDDdn1sxyOmihTzSRzPJxVTGM8nWJzK0GxbVBom08UEIgI3Vmuk4ypPnR7jzSs7dE2XqWKCruHieD7XV2qcXyywVe2EiekJhS9enIwY0F8Y8Aveze/b982sbbeotUwUSYMg4Je/foIfvrNGKR/nzEIOWQ6Ts3dqBhOFOH4QkIwpbJbbjGXjHJs++PwHdaBMUqXaDNnJi7k4ra7Nxm6HfEbnO19a4O1ru0DAUyfHP5avZ4QnD+V6l+srdXRN5sLxsaEinkImhu34NHr+hIlCnJ1aqAuZdshMM1dKHYidnZjNsrrVQhQDbq41uXi8wPJWC1WR+JVvhex8U2NJvnJpkj9+c5WEJvNXXjlBs2NTa5lsVdqsl9uokoRlu2yU2xRz8YhVIpvUeLGnO2iKxBuXtwiAL12a5EsXJ/nXP7yNKMB0MUkmqVLIxLFsl1vrdbqm0/N92DxzZgK5V5Bl2T431mqkYgrffGGWZsehmNOxHZ+EJnJzPWzaE9cknj5ZpNG2ScYVzi0WmJtIs77bxnF9irkYrzw3w0+v7CCIAcubbYIAnj5VIJfWmC2mWC+3efPqDooscmY+j+sH6IpIs98MQBTwgoCUrpDQwwY/+/26d8PpuRwr2y2CIGCmmBpqADDCp4OtSodbayFb98JEhomxRMTAadout9bqlOtdxnNxSvk4E4UETm9NdUyX+ckU7Y5NOqkzNRZHlMJCw1OyFDZrlQTqbYvpUpJ6y0AQwtyRQjbGwkSa9XKHVsdCkpKcX8xRblqs7bhcOFZgdbuNLMGZ+TwzxRRblQ7NjoftuMiSyHhWJx1TaBg2QhAy2gcEPHtmnHevlxEIeObUOKfmsvz+a0vUWzan53OU8gmMGTdk4zBcHM/j8p0Kp2ZytM64LG00w9yYpELHCttbnZjJcWYuz9WVGu2Ow7GZTJQfcZTY+91QaRg0OzapuMLkWOLQ2IimSJyczbFV7SBL4pAPdYQRHiV8P2THBo6874/w4MgkNb7xwhzffW2Jf/WnNx/rmOQIjycKmRi7NYONcodCRj80H/Vxx/xkhpcuTPDq22skdYW/8srJRz2kB0ahUGBhIsHSVshceXLmyZTnXzqT5kdX95jL/85fef4Rjuaj4b/4tS/xH/0338OyfQoZnf/sV1981EN6YCxMZmh1bNZ3O+RSGpc+omx4pEUcly9f5u///b8fOXX8XlvJr3/96/zNv/k3+Yf/8B/yG7/xG49yiAcgCALx+Men4QOIA9nM0TaCD26V6Zrh87E8k4vHxzidPNpmvrzVZLtHn5tNJ5kuyfzOD2/j+QFru3VMBy6dGOfcsRKe71NrWrx9fYdKw0GWBTxf4NxigUxS44XzJTqGi+v6LG81USSRWsuh2jQxLJfNcofxbBzDdnnhXAnL9pFljWxKYzwf/r7ZtvndP1ul0rDQVYla2+V//+wcp+bzQ+POZlKcWtgLnr59bYfVnXDz2ahafE3X2KoYuJ7P0mabdEKj03Vpm10+vF1ms9wlrsssb3X4W78Yx3JFUsk4S5tNDFsIqSNjYfKrG1hDlO4nEvd+tj+5skrXCmibPh3T5cJinnLTJB530FWdLz1VYuwuBRCX71T44M7eJvr1Z2eY2RfIOnc8zv/tP96jga80jIhJpGXYJOLxKOC0f25cOjF+6HU9P+D62i62Ex7rYXNm3zNvd21Wy00IoGU4aNpegG6ETxa6KnNyNgfAtaUaiiyRTuhsVwzevHoVSRJJ6DKVpsk3np9jfafN6k6L+Yk0N9fqNDshXW6lYfCFi5NhJ+4eXrowxT/7g6tRV5piLsbUeII3Lu8girCTi2PaHs+eLtLs2Kg9No1yw2BhMk2zbTOeDfe9Zscipins1gzWdlqIgsjb17ZZ2W6TiMkkYgq/+p1zFHv0x+/fKhM3HC7fqeA4HrIsoesGmbTO5FiCc8fGOHdsjD9+fZm2EQq1rWqXl84HOJ7P5TsVVrbaBEFAu+twZanBK8/P8t7NcC5vVaq0ujbT40mWt5qM5+JRYVS5blBvhh19yp7Jly5NE9dlfD/g2lINywk7yrS7DmcXh9fCYZguJpku3rvqs2s6XFuuUmmYlOsG+YzOWNbk3GJhqHtWu2vzx2+sRF0DO4bDV56ePvScqbg6tFaTT3iHwVff2WCrEirDq7tt/uJXjx1a7PaosbrTimRnuW5w4Xjhnl1cfv9Hd/jpld3oeMPyOD2fJ5UQeOWFWVa2WtxarVNpmqzttMmlNK6t1JgrpmgbDoblMjeR5scfbPL0iXHSSY3nzpSGgph/+tNV1nfb2I7Hj9/f5IVzE2hq2H1pcizB06eKdxseyZjC6fnD5/lmJSwElET43lurFNIxFFmkYzp85alpxrIxxrIxvvfTFTZ2w3e3ti3xS187hq6GAZpay+TGSj0657HpTCQHfT/gvZu7HJ8O97jdmkEmqXF1qRYxYzx9osiJ2Wz0/T97Z51NI3z+b1zZZqKQ4McfbkfBiJ9c3maykIjmzrs3driz0UQURd67XWG2mCST1Ngsd3nx3ATNjk2jbZFJageo61a2mmxVOqGz23L5xvNzEQuKrki8c3OX8Wycesvi4vEix2eyKLLIydks0kAS1/R4Er/g81uv3ibVW6dvXt3hO1+Mc2WpiuP6VBoGpuUxXUyyWzc4v1iInPAQBmVP9GTB3dBoW9xYrUfPEqCYi/P82Yl7fGuER42O4XBtpRZ1MP6dH97CsDw6psM//94NFicz1JomjuPRtV1sx8NxgyHGDduFkNtKoJiPMz+RppiLI0ki6YTKRCHOjZUaoiiyXe1SbZj8W19cGBqHJArMT6aZnxwe3/4OAYIg3DfRKp1QSSf29pU/+PFSNCc3ym1+8eUTUfC20jD4/purUaK55Xgfe8725eN+ffZxhGm5XF2qUm2a7NYMcj3b6OxCfsQeMgIAm+UO797Y4d2bZSzLjRKdRBHWdzqYtofteHiBgKYIOC6oSoAkS0PdbX0gn9U5PpUjm4pFesSJ2exQYcXqdouffLjFnY0Gtzca+F5ALq2zXTX4D06WIrarAzInINLzB3GUPWOEEUYI8b/94VXev1UB4L2bu6zvtCn1/C7/0+9eYSyTYCyTwPV83rmxy0wx1F3/5Z/ejvTrH7y9TiGtRZ1Vf+vVO1HXrrev7fDzX16MihH+1fdu0DE9BEHgx+9v8jd+4TynF/b0zX/nW6cBuLVW5+pyFVEU2a0Z/PYPbkVBpJurdf7Cyyd4+tTB5Ic3r27z/s2QOfatqztcX6mRTYb7zatvr3NsKksyplBv20yOcyS5vbbV4dkzYWJV13L4539yDVEIr/3ejQrjuRiZhMT7t6osTKZIxlR8P0zsHEwQ/dqzs3zt2ftejrFsnG++OH/g974fcHWpGvnRjuo72A9dlXn5LkUkv/2Dmyxvhj7CpfUmf/OXLpBOPn66QT6tjwr0PgbiusJGuc1OzcDxQpY9VZWYK6U5NpVFFkWePjWOHwQ022Hx0W6tV/wbk7l8p0q1aVPKx1kSBc4s5Pl3fvY0giBwbbnKT69us1U1MEwXyxbYrRvEVJkAGMvEKeYSnJ7L8czpIms7Ld66tkO762BaXtQhutVxsFyfjXKX//G334vYwwFMx+c//qtPA+C4HleWqnheQEyVGcvGhpJ/212bastkYSLDwkSYTNVvQvEwMVtKHVn3eFL8UCOM8FlAMRcfKvwu5uOH2g+SKPDi+QfzCWyUO6xuN/neT1fZrnTxgwBRFHn21DixOZndhsHlO1VMK7Sdrq7UmS6miGnhHvzmtV3yGR3T8njt/U0My+sxVnhcWa5ybCrD4lSGdEJlrpTg1//xa0iijCi6bFUMdE1GlgR26yaaKqNpMrIsc3oujygKPP98CV2Tub5S4/UPN9msdNkIOmxWOqzttEnEFJY3mqxstlicyrBbM9jcbUdsYaIo8PzZ0l39z3fz+/YZmhRZotayaBkOT50Y41d/7jwQ+iM+uF2hY7h0jBa269ExHNpdh5im4Lr+ECszDOtArufz5tUuU71umK2OHTaviilYtkezY/PNF+ce6F2O8NlA17T54zdWI0aXVsfia8/ODh0zOZaI9ICdWpeljSbVZhg7my4mqbYs2oYzFDvTFIkTs1n+zY9quK6P68FsKc1L5yeQpL6vwuD6WoPJQjgv//StNU7N5dkot/nRe5sEQdhMZXm7RUIPmzWKosDUWIJkXOX0fI6vPDXN0mYzihWIosBvvnqLnWro2/R8g7/0yiliPTvrpXMl/vFvf4Dl+FiOzfWlKv/ed85yc7XG2k4LTZGx3YD3bpY5tzhGo2Pj+QEtw8XzQRIC6m2bla0m81MZvvXiPKV8nJtrdaq9zunVhsnFE2N888U5/vt/+W7km7m23OBnnpuna9q8cXk7euaNjsXLz8ywWW7z9o1dTMul0jAp5WO0DLi13iCT1BAF4UhFrLomc2ru3rGJET45NNoWf/rmKuW6Sdd0WN/pcP54gYvHx1AViR+8tRb53jumy1OnioiiwIe3a2xXO2xVwqL7qWIqZKgXRQhC+ZFOqKxut7iz3uD1y1t4QcB4LsF0McXZhQLlepfXL2/RMRwMy+PGSoN602G6mIiaqF44ViCf0Zkrpbm+UmN1u0W5YdE1HHQtZIzJJDVK2TAXR1Elbq83uLJUZWo8SdtweePyNoWszrGpsLFkq+tw+XYZy/XJJrWwOdX1Oroqs77T5uVnp/nbf+EiP3l/k++/vQbA+m4Hy/I4eWKMxens0DM8EHvvxTiPgmrT5NZaAwh9oCdms3e1N7IpbdScaYTHDo22heeH/obcaH5+oviLXz/OH/x4iZ9e2ebGai3K8RphhKOg0bZodmySPXtqt27ctXna44pqw+DO+p4u/qMPNvhLX3/yCjlWtjvRz7c3Wo9wJB8dgwUcAP/kd9/jr//CpUc0mo+GP/jxMoVMuAYEAV57f50vXjya/vY44eKJcS7eJV/7qHikLTGazSaZTAZRFJFlmWZzb3JduHCBDz/88Ejn+Qf/4B/w8ssvs7W1xd/4G3+Db33rWwD843/8j3n55Zd5++23+Xt/7+/x8ssvU61WP5F7+STh+wFdcy8xw7Q8XC+4xzeG0e7u0c74fsCdjSZBAJ4X4AdQa4VJzq2uHR1ba5r4ARimix+ERg/AVrmL6/oEQYBlexiWS6vr4Hph934/ANMOWTl2qmFXf9N2D5y/3rYIAgj8sLjg2krtvvdRaRh7H4Kwm28QhCwlnhdgWi5G7/96y8IPgvDvXsC1XmKp5XgEQdgh1PF8TCscW3uAmucoqPUcKrbj43l++AyD8N3c73zlujH0eXff58Ow/3z9z4fPDZ/D4DheFHiG4XkxdN6BqXXYMSN88ththInLjuvRtZxo3voBlHsOGsvx8LwA2wkd5XavIMHzAqqN4Tm1vt2OCjgIQnaBVsfBDwJcL8DzoVI3MCw3cmxAuGZNe3hOVRp7NMcdI+yMUe/tIa4b4HkBm5WQCt3zAwzTpdm1CQIwbQ8/CGh1bAiG53W5YeK6AX6v87dhuezWDBptB88P792y3ahTT38uG3a45n0/wHb21nTXdKkOrC3X9Wm0w3XreH5UwAEhq8fDQsdww3vtjcO0XAgYov8CqLesoWddbtx/H/isYJA617Y9mt2H9/wfJvbLTmNgrz0MfTkWBAG+H1BvWdhOKCdNywvnte31WGl6iZheQNdy6FphEYfrhb/rP5PWvmdTbYbzxHF9HM+nazmHHveg6M/PthHuAY4bro8+7Wofg59tN0z26GO/vBhc34Nrtj/e/XvL/nsYvJbnBdRa1j3nzlqvuMT1fdweI4bthEFJr1ckfDfZ3P+9ZYfP34rem0uzY+N5Aa7rRfsthO9gcB/pw7R9ugPXqbcsDMvB6QVWTNvD6OlFBKET+UGxfz8ZyeonA50BHcu0PertMJAHYPSYrTqmi2GGgT3XP1zXDwDX8wn80EkSrqWw25ZpuzQ7e/Oh8inLlmpzb40alkd3QL6Wa2ZUwAEH95fPOjqmE7EAQTgHDtMPRvj8om3YoYwJwHJ8bMfHdn1My8ewQ103tG8DPA/8wMfzwTvE9mu3HTqGMyQn98vZjuGEzRm80K73/NCusB2PnVpn6LjhcY7m7AgjfFzcXm9EP/fleR+7NSNqcGPa7pCeV2nuHec4HpUBubtV3Vu3QTBsX/bZNSH0j21V9z4PYm2nNSSrtyp7x/ULTw/D+k47+tnzgiEfVz/BpI+j6q2VgXM02/aQLbY9cK9d0xk6Z/sh25b77ZiH6Tvoozzwfix3eA8e4bOD9d02XSv0FxGE69RzAwzLpms4tHpzy/MCNsohI6jjegQEuK6PaXuRPez5oc+gHxtodCzaXaeXaBv65Qwj9Nf3dQHfD2h1bRzPj5pIQDiOjulwe72O4+5tALu9xLHoc214P9jvOxzEAd/yJ7BuHhRPih9qhBFGuDdaXRvHCX0nrhfGEGyn7w/xWN9uY9mhr873Q7bsfoMew3JxHK8X24Td2t4+53oBrbYT2umE+9huzcKwejEZgp4PMLSZ/CCgazq9eIPVu15At7e3VpsmjutHNtx2NYxnAJiON2RTbQ7oW0fxP98Ng+d09/ksu73YSXRs1xk63nIOxhTtgVhi6F/dG1e1aR443wifTzTadlRMAFBpWvc4es+/0M8ZuFvsrI/+XOvH82zX6/lNA7aqZuRvh70mVeWG2YtFhuds9tZo35bq60BRPGRAJ+gXhfdh2h6V+t7nctOM9hjYi9XeXm8w6MZd2+n0nk947Xrv3/5Xq80wn6CfK9AZWEOu52PZ7p6PqIdG28KwPWqt4Wde7vlXy/Ww6UZ/3VZ776Ifhxj5cp4MVJtmFPcHaHbD2JQxIF/6sGyPTtfG88J4el+G2Y5Ht1eI0UdfH+8Y4f7fZ+o2LDeK8ZUbFo4bRHOoYzp0TYdKfc8GMa29+Fi1aUaFfq7nYzpeL2/Bp9YyQ7nXy5tpG/bQPXVNl1Yvb8D3A5pdB8N0MSyPVtfB8/wwL8AP2NoN1+B6Zc/vALC2e3iiZaVhDtkqDxKD2O9P+Lhx1xFG+LTRn+/ZlDbUgHCEh4+psSRffy4sXP1nf3jtEY9mhCcNn4U8j61qdyhnuV8E/SThvWsbQzq858NG+cks5BjE93+6/qiH8MBY3d7T84IAbq427nH0ZxuPVHqXSiXq9ToA8/PzvPHGG9Hfrl27RuI+bAh9/P2///d59dVXuXz5Mn/+53/OH/3RHwHwa7/2a7z66qt88MEH/OQnP+HVV18ln3/8O7XuhygKQx1a47qM8gDUf5mBDm6SJHBmPoso0KvCh/FeJ79sUotoS4u5GJIokIipiCJketW6c6UUmiKFjCS6TDymkE1pKLJILqUhiQIxXUEUYGo8iSiGx4Xj0KKxjOfiCAIIIiiSyMUT96eSKQ0wQkiSwMJkBlEUkBUppHDvdd+P6zLj2RiiKCAIoMki54/lEQTQVQlJFEgnVFRV2htb4sG63BULYRWYpkqoskQhG0MQIKZJ9z3f1GD3MYEjdSNL7ztf//P+uZGIKch3UcpVRULX9jrq7D9n/3fCADvq49j97/OAflcjTZFIxBRimoQoCL11Fc4XXZVRFRFNlciltKhDkyyLjO2jSJyfSiFJvRcrCBFFsSSJyLKIJEKpECeuK0O0opmkRkyVUJW935Xye+dOJVR0VabQ20MUWUSRRWaLYWcKSRRIxpWw00u0NwjkUhqCMDwHS/k4iiwiiQKaKhPTFabGEuTTWrhXCRDTFabHE6iyREwL7zfRowSWpPBZxHprOhVXKQ2sLU2Vok4ziiRG3+/f58NCKq709r2wc1BcVxCE8PeDyGdiqOreevw8Md6UcntzKK7JpJOPZzfP/bJzkC3hMDx9ajyUa4KAKAoUsjqaKpHoySVVlYhrMoXeu1dVGU0WScQUUjGFRExGkSVkWSTbm5P752YpH84TVRFRFTHqUJX9mHO4v9en4yqqHHbMAZjY1ymvNPA5pknkBp5RJqnBgPwYlIOqPCx/Dttb9netKRX2rqWqEoVM7J5z5/hkGkEAWRRRZZFsb19Mx1UkUQThcLkXjZ1wX5VlEV0NWYXieqjjyLKIokjRfgvhnqId0hkvrstDc2csGyOmq1Fn5Lguk+jtD/tl+FGRTqjDz3okq58IJONKpGPpqsR4VkcSBQQgldRQZYlUXCEek5GlUFYdBoFQ3gpiqBuHdkG4v+iqTD6zty76e8anhT5rF4T3O8gcVSrE9nQRPl9yDyAZVxFFIVr/cV3u6Qej9TtCiExCI5/WI5tSU0PZqWsSCU1BlAQkUUAUBGRJQBZFJEk4dK/IplRSCXWo41YmMSxn00mVVEIJ9eK+Lq2EOvbEgA49kjkjjPDwcfHYHgusIMLkAHPE9HgyYiuOazK51J5cH6RW1xSJYm7v8/zEXndISRIoDugAMwNskpoqMTN+eCfJY9MZxIH1Pj+5d1wqrkYybD8WBzrwy7LAzL77ie71Hvr4fgzaAmNpbUinmJ0YHlcmtc8meYgY9D18EucHmBp4P7oqDe3BI3x2cGw6QyqmRr5qQQBFEUnoKum4GtnWiiywMJkipsmh/x0BtS+fe135ZEkgl9Si2EA+FSOTUNHV0CcnKyLJuEI2pZLrzVlJEsgmNVRZJJPUhmzSdELh/LExNHWAZbIQH1qvg6y0cV0e8h3u90fs9y3v10EeBZ4UP9QII4xwb2STGooikY6ryLKAKovEVDmKCy5MpIj19jdJhEJGZ7a3fyVjCromo8pirxt/nGTPX6/IIrm0Srwn89MJlaliknRcQRRFRATimowgCOiqgiQJJBMqiixFcZhB33ExF0dVZGQx9BHPlJJR7CamSkP6xNzE3v56FP/z3TDoh9WUYZ9lMqYM+WMySXXo+Ngh8ebBWKKmSkPHF/PxoRjkKIb4+UUurUc+bzgYS9iPvm4R1xUQBn1jh8/7Yi6M86tKGPfTVIlkXEESBabHE+gD156fSCOKAhP5OKIQxg0FAXI9P2nfPorHlKE4weB6lCWR2QFbKRFXKA74OsdyCRL63tqa6MVqT8/nhtbY8ek0CFDoxSP7bIqaEuqBxVyYTzDRs3kG15Aii+iaTDKmDrHgjWVjxFSJQkYfiitO9p755FgiyoEIn134+77Od1Q7bIRHi/FsrBefCt9jPzbVjzcPxufiMYVUXEWSwhhjX4bpqkwyoUb5L+F8D+d5OqmSjithbEEQSOgyhd4aKeX1oZhXyMCtMFEI56ssCcR0KZqXpXwMTRGjvIC4JhPXZBQlnKeaKoMAMV0il9QjOZhNaaQSKpmkhiAIkZ2SjCkkdLl3zxKSFMrQ+alwTS5O7vkdBIEDDBzRM8zpqPLR96VB7Lf3Hwc7ZoQRHgT9pm75fXlCI3wy+JVvnkIU4I3L29zsMZmPMMJR8FmIuc2Mp9AG5O1g/OFJwaXTUwyGV2VJYGrsaIy/jzN+/qsLj3oID4wTc+noZ1GAC8cL9zj6s41Hyhv97LPP8tZbb/HNb36TX/zFX+Qf/aN/xO7uLoqi8Ju/+Zv80i/90qMc3mOFU3NZdmoGAcFdqZS2q112ql00VWJxKo3j+ixtNrGdsMrdc33ubDXxvICxbIxSIU61YbBdNfj+26vMFpMkYyqLUxm+/twsnhdQaZmcW5jhxFyGUj7BbCnF6x9u8cN31vF8j3RcJRFXeebUOAld5u0bZepNk1RMptF2yKU0TszmaLZN3rm+gygILE5n+Fu/dIEfvbdBtWWxOJmi1XFY3moyV0ohDEZ6BnDx+BgxTaLespifSDOeCwNKtd45/IFmMWfmMvzuj5Zodxy+9tws85NZChmbetticSqNH4SL3/cDbNena7i8f6vMzHjyUErRSsNgo9xBkUQWJtM8e3qcdsdGU0USpZCW8vyxAmPZGMmYSjal8e6NHV57fwtFFvn2F+aZ6SW2n5jNIctiSBc7nrxnEpvj+tzZaGDZHtmURlyX6RoOK1stduvbYYeEIEDXJeK6wonZ7F3PJYoCZxfy7NYMRFEYmke26/Pj9zeoNS2ySZXjs1kSunIketUHQRAErG63aLRtEjGF+ck0knj4+/48Y66U4l1dptaE4zNZvnJpgrdvVMgkNP7KK8cx7LD7zLljeX7vz26zWzPRVJHJsdCJuLLdYn4iHTn9JwpJfuWbp/jwdgXb8RnPx9mpdpGlsMOlLIYOxT96fZndukFMk5gtpcgkVW6s1lnbbbG+3SGX1nn56UnubLYwLI9Tc1mySY2JQpzX3t/EtF1eOFvCsD3eubZDtWWRSarkUzo//+VFOqaLKIRMOH/0+gp//PoyLz89w0YlpEIv10wmxuJcOjGGrkr4nk8yppDUFQQJvvr0NF++NI0oCpxZyLNb64ZOXFmiazmcnMtiWC4CAsV8nFY7xo3VGobp8oXjk5GTaP/39++pQRBwe73BjZU6oiRwbjEfrd+7od4yee39LWotk2RMJpeO8eyZkKI2l9IjJ1sfcV3m2y/Nc2u9QUyTOP05oij+8qVprq3UsB2Pk7NZ1AcoSvw0MVNM9SiwPfJpPSpsuBu+9uws331tiZWtFtmkwkwpje145FIaV5drTBTinJwN2cfyaY3dmsFXnp6iY7oIeag3LVodm2OTaQRRwPP9yCn7/s1dbq83cVyXtZ0mjhvwhQsl5ifTxHWFfFonCAJWtls023Yo3wBREJibSN03SXhqLImmSBiWy4mZDJvV7qHz8ksXpyhkaliOx6nZLOpAQDCdUDkzn6fZscJkqgGHZyh/CuzWuiEbluVy+U6VTFINg5qSSLGXVHH5ToUbK3U0NVx7CALJmMyttTrZpE6z4+C4Hi+cK6HKIh3DYWmzSRAEfOO5WXYbBt9+aQ4EAUEQmByLYzshg9jSZhPP9diuhuwFmZRKIRNDkUSmiwlAYCyns77T6Y0/ZCv62RfnsRyXdEIjnVDx/YDxXrHrYfjWS/NcXaoiCAJnFwthgasm8+6NXVRF4tnT48R1hVxKH0oKOyqScZWu4bC82aSYT/D06eLQ3xtti9XtFoIgsDCZHgoAm7bLj97boNVxmJ9M8fSp4v7TH8BPr2yxvtMhnVD58qXJofc+wtER1xXOLRaotUziusL/af4Z/vCNNVY2m2iaFOrwiohhicxOpEjpMq1OyBy3WzcIggDwCQKRuCrR6li8f3MXUQDLDcJ5PJ7ihXNj/PEb60iiyL/7nTNcX6lh2R7judiRCyd2al22K11URWRxKnPf/a+Prz87w5WlCq4XcHo+P5zcldL51otzrGy3SccVTgzQC9uuz2vvrVNv2UyOJ3jx3MSBc99cq/Hh7SqaIvGFCxNkU09W4pWmSJxbzFNrWRybzqCpEtmk9pETNEb47KDesljbaUW2WjKucme9zvleknfXcinlYly+U8VxvV7wVKRpuDRbJo7jo8nQa8pHJimjKTJB4NNqW/zTNz/Ednwmx8K19fy5CcazMSzbo5DWEWYgHpMo102KuQR/6ZUTQ8nSybjK2YU8jbZFIqYMJZQfBtf1+fGHm2FHShEWJ9Kkk1qUUDHCCCPAz3/1OE3D5spSlbMLeb7+3Cx//PoKoijy7S8s8PbVLdZ225yay3F9ucIfvb6GJAr89V84x9puh+1Kh6dPjfOlp6e5uVpHVyXySY1/+L+9Ratr8/TJIukB/f/cYo4/fmOZjuHypUsTdMzQ/xb6DjNR0t5sKc1Xn57mw9sVpsYTfOH8JH/+3gaOF/DcmXG++9od1nbalHJxnr9Q4r3rZQCeO1PkF796jJWtJovTWeYnUly5U0WWBBamsvyrP73OTs3gxEyGsWyM994oo8qhPL+bz+mpk+NUmybtjsP5c0XSCY33b1XIxFUunSzwg7fX6Zouz5wex/dheatJOqGSiClcuVPF9f27+vceBKIoMDGW4MNbZWRJpJSLcXOtjmG6ZFMas6WPH9j5C189xo8/2KJjujx7pji0Bz8MeH7A8maTjuGQSarMTaTv/6URHjrOLRb4tV++yHd/ssTNlRqm5SJJIo7r0zZtHNfjn/3hVWRJ4MKxAotTKSQJJvyAQkbjwrFxUnGV3//JMobl0uw6PWZcmzsbdS4vVfDcAEEA1wkZQCUxhRdA13CiZkfXVmo4js90McmcIBAQECCQiEn8tW+e5p2bZXIplVdemKfW6vLb379NIMBL54o4PWaay3cqrG63iGkyZxcKzE0Mr4O4rnB2sUC9Z/fk77MO+/arKIb2637/2cPAk+KHGmGEEQ6i1jJZ22kj9faIk7M5irk4N1frtA0XSYSYFjZhmRpLUG4Y/PTqDvWWybXlCoZpc2w6x5mFHNdXarx3YwfPDwtCzi4U8DyfjungeWF38MVsjBMzWURR4C+/coLf+INraIrEl5+aoN5jB5sqxtgqW0DAxRMFpotJ8mkdrec7mZtIsbzVpNY0iOkyX7w4xVefEXj9g20MM9y/m22L+ak0cU3l/Zu7yHLY6K7vf9kot6nUTXRNYqaYZHW7zbs3dlnbaZFL6fzsF+aGEkxmSynKdYOu6YZNNAZsL1WROLdYoNo00RSJsWwMzw/YrXXx/YB3ru/w2z+4SSKm8CvfOEnX9jFMl3RCZSwjIYoCT50cp9ayUCSR8VxoT25WOmxVOzRaFjta965x64/7zj8JuTDCx0etabK222ZhIo0b+GQSGmfm7x3jKmRCfaRjOJxZyGHbPteWq6xstdBUifmJNKV8nGIvJvL15+a4tlTBcnwKGT1kOrdcfvzBJlIvxrey2SST0vi5L83z/q0K5brJ5FhY4JFOqpyYzvUabMn89qs3uXynQj6tEes1winl4yFjmulycibD5POz/Ivv3aBt2MwVU7z2wQY7PcaNYj7O82cnqDYN/ACmx5J890d36Bou+bRKo+1Qyif4C187zo8/2KJcN5ibSPEzz81yZ6NGuW6yXe3SMV1Wt1p8/801dE2ilItTaRjomszp+VxUJPXXvn2an3ywiSCIfPF8CQgT9Ptxxa7pEI/JXF+psTiV5vyxMW6u1pgaT3B2MY+AiBcEXL1T4ftvdpgcT3Dh2Bg/em+DjuFwbDrNxRPjn+AsGeFBkYyrfPuleW5vNHAcn9mJFIWMHtnsLz89w5XlKq7rc3o+iyQJLG82cVyPmC4hSwItwyIVV7A8j+vLVeKaQr1lkUtpTI0nOXusgCSLLG82yaY1FifTXFsO/e6+7xNTBVRFZXO3zfp2ixurdZ49XSST1lAkkY3dNmvbLeIxhbmJFIoi0e46yLJAKq4QBAKJuMovf/0E9ZZJNqVzbjHLtTt13r21y52NBrfX6tF8n5tIszCZ5sqdChvlDmPZGE+fHKNl2MyXMlzoNYF95nQRRRJZ222xOJ09ELsczON5+bkpNnYPj3Hux2BcNRFTODmbZbvWpdG2WN9tI0sCyVETphGeEPQZewsPOb9rhMMxNZ7ka8/O8KdvrvHP/vAa//nfeulRD2mEJwQPGnN7HJFOqvw73z7FezcrJOMyLx0S138S8KVLE/zwnS0Avvn81CMezUfD08c03rm9x4j4V75x9hGO5qPhhTPj/PM/uoblQDop88zp0qMe0iPDI83C+jt/5++ws7MDwN/+23+bcrnM7/zO7wDwne98h7/7d//uoxzeYwVJEu/J2NDuJfNBSH+4tNkM6RMtj41ym47h0uxY3NlokkmoyLLI5FiMjXLoqFvdbrNTNXj65DiXl6pMFRLEdIUZXcH1/aiAo9ow+MFbq/hBSGmjyhLPnimyVe2yMJEioSuYlsv6bgdZkZFEga1KmzsbzYi+0LpT5S+9cpK//I1TobG308awXAzLJabJ93T2nZgZNrbCLjsHnXiX71SYyCchD+s7bcr1LmPZ+KGG1vu3yhFN8c21Ok+fKg51njFtl1vrjZBaEri90UBAIJ+J4foB1abJ4lQa2/FJ9JhJmm2bP/zxckS/9Ds/vM3f+befis65MJlhYaBrwN2wut2i3rKi9xrXZeptm67l8MaVbRKagmG7xDWFF86VuLPR6LEcHJ4go8gSU+MHqyA/uFVmZSukhmp1bSYKyfsmrX8UlOsmWwMU1qoifiLXedLx/q0yHdMll9axbI9qy+HLl6YBWN3tcm4xTOp6/cMt1ndDal7Lcbm5VueZU0XaXYebq3WeOrXngJstpfH9sNjr1nqdct1gZauNIosYlsf//LsfcmwqdE4IAkzmE7z2/iYxVeHyrSqBAJoq829+tMyF42MkYyIb5Q6FTAzPCzgxkwVgt25Qa1rU2xbNjk3X1Cjm4ixMpaOk7n/wP7xGp7fm/ul3LzNXSrJdM3DcgExS5dpylXOLY+zUulxbraPrCjFVYqfWpdeUFEUWh+ZynlC5zQ1Mp9c+2EaRJJSExOXbVY5NZqKkz/3fH8R2tcvlpSqN3toL/CAqzrob/uzdDcp1g51qFwR46Xx47L3mdyap8ezp+ydQf9Ygy2KUmPi4Yzx39G4Vv/n9GzTaNpmkRrNjc3utHgXZzizk2K0Z1MZtskmNmKYwNS5xZ6NBKR9nbbtNrW2RS+ncWK1z/vgYCV1haTOU2e/eCBOk3r62A0LYSent62WeOTMRJUTs1g22e/vrrbU62ZROIaNzfaXGs6eLd5ULfRQGOnNM3mVt3O/dhd15Dndo9tfc8laTenNPrp2czUbJVeV6l7euhnphqwuyJPPCuRLXlmtAmJylKRIzxRRblS6lfIIbq7WI4lkUBb710sKB4grX83n72g5BAFeXq+zWuhQyMa6uVDm3UKCUj+MHAfMTadZ32iRiSpRQOzWWxLBdLh0fQz9iwYWuykPFEV3T5Y3LW4iCgOv6XFmq8RdePn6kcx2G6yu1MJgpiVQaBu/d2OH5s6Fx7PkBN1br+D0F5MZqbWgsP728zUZPbnxwq0IhE7tn8tmdjQZXl8Ln3+ravHl1hy9eejKN2McBiZgylLT/0oUJuqbD2k6LjulSrnfRVJlkXMFH4Be+eozvvbmOIIq0ujaW5aFpEvWmiQ+4hhsVMcuygL/T5NZ6nVxax/N9/unvXeFXf+4cACtbrbAw8j5Bh67psLTRtylgabPJqSMWGoZJB3cP/o1l44xlD+r5717fiagyW8s2+V4ReB/Nrs2PP9iCAFrAn7+7wc9/5diRxvQ44W52ywifX7iez821vT3bcX1UReL4TA7X81neapJNanxws4LW6xodNiMQkAURP4CO5eL19gEBMEyfWtsGQeDdG2Uc18fzA1pdm2RMoWO5fPWpaXZrBpoqh00BECPbtN21D7D6peLqkVljrixVWNpo0jEd6i0Lx/GYn8igKYfboSOM8HnETq3Lydk8J2fzBEHA5TtVzi6EOva713fIpWPk0jF2qi3++I01RFEgAP7J713mO19cZKaYotwwqTaMyJ78v/6T12l1HUDgnRu7vP7hJi+enwTgf/nuVWwnQJElXv9wh2RcY2Eig2G5rG63ONZj0qg2TURxT5a/cXUn6lj7vTfX2NhtIwgCzY7N1eVqVAzwg7fX+avfOBn5KSBMsAD4vR/diXxAl+9UubnWiBhFXn1n/a468dJmk2xSJ5vUabQdpotpfvaleQCuLlXJp2Pk07C82UKWRJIxFd+HH7+/GfkdQv/eOIp8tGLUw+B6PsubzUh+/+TydsQ6YFguidj9E9TvB0mS+PJT0x/rHPfCZrlNuR4mnoV+RSXqBjzCp4sziwVESeS7wh2uLVXpmi6WY9IxnEheiyK89sEmpUKCyUKCrukyN5Ehk9L5w58s0TZsOobLezd2qTdNNFXm8p0ypuUBAV3LJZfSqLUsXnt/i1PzebpmWDCi7rRpd20Wp8I1P16IsV0NGy20XZ9UUuP/8JdD37XteFxbrjLd82ndWGuSTOg02xbXV+oEQYBpedSaJgtTBwuDkjElYg69FzzPH7ZfV4Z9mQ8LT5IfaoQRRtiD4/rcXK0T9GJst9YaXDwxRiET49h0ls1yh9XtMKbVaNuhziGIeF5ArWUjiQKG1UCWJNIJld2agWkHWI7H7fU6MV1mtpii1XUwbRfTccm3bWzHQ5ZEfvTBVsSYfnOtySvPzSLLIu/fLBPTwqZqS5stTszmhpq0bJY7lOtGFIdY32lzYibL3ESK197fxPcDZFHg5mqdjd0O1aZJNqVx+XaV2WIKVZFY6/lIDMtls9zBtFzeuraD5wV0DYfv/miJf//nz0fJ3us9PS0RU9iuGGST+lCDnZgmDzGkSaLARCHBzdUa339rHYBmx+F/+t3LfPulhejaJ2azka4z6M/QNRnb8ZAEEdP2WNpokox9fJ+H6x3+zkd4vOC4HjfX9t5TMqYO2QL3Qi6lR4lqr769Rq1lUWmYmLbbW7MuyXg4l9QBP6Pn+bx9fRfb8bi9EcbrESCb1pmfSPPmlV1WtlvYjodpe6QSKsencxQLceYn0vyzP7zCTtXActyenrTO06dKbFU6iIJAMqawWemyvN0kn9axHY8rS1WiCxH6Vr/69DTj2TiBAOWGwXs3y7ieT6Ntk0oo5FIa//rV27hegCSF+5Esi/zKt87y2z+4Sdtw2al12a0bYWxfV9jOdVFlifmJFGs7bfLpkLUgGVP5xgvzB55hJqlxai7H5dsVLNvHsi3eu1nG84LIRhMIm3u9cXmLSiNM6m0t29xZr+O44Yt790aZsWyMybGRr+ZxQi6t89xdbExZFrl4fG9P3K522a6G9vbyVptaK2yw9u7NXSRRwPMD1nc71NoWE4UEQRAW/UmSyLHpLKbl8uHtKtdWapQbBrbjY1oOsixSa1r4ARiWx5WlCheOh2txu9Kl1rbQFJlETKbZdULmiyBgZavDdDGJ6/pUm+aQvd+1KzhuwFali+V4Ya6SJDJdTLFTM1jq2fa+H6CqMj//7OyB+79wYiwq6hjE/jwePwiOHHsv180ormpYLkqvcZxAWHB2vVfEMsIITwL6vp/xkc/nU8OvfOs0P3hrjdcvb3FztX7PhssjjDCIB4m5Pa6YKCSZKDy5emS1bvD6h7tRo5fvv73F//GvPuJBfQQMFnAA/Ff/5DX+7l//4iMazUfD/+X/9VMcN2zE3+64/Jf/42v85//Bk3UPDwuPtIhjbm6Oubk5IAxa/fqv/zq//uu//iiH9MTCcbyhz7bjR0mNrhd2oO6aDgCe72N2Pd6/WaXesohrCn4Q4LrhOWzbo2XYQ+czeq09O6aDH4Dv+/hBgOOF3/G8gGYn/I7j+kNjarbtqIADwLDdvXG6A/QZA9/9uOgniO+N37vLkeA4e9cMgvB5DRZxuF4Q+mkGjxeGx+t6AYq897lr2VEBR3j94fEcFbY7PO5u774cx4feWEM2kb334PvBEHXrUdA1nOHPlnOXIz8enH3387De92cNg/PF930se++5Dc7XZmdPIAcBUTESHJw7/d8FQYDnB9hO+HMQ9L5re3i9TNAgCN+NaXnIohhO/wD8wB+eG73jBq/lugFIfrTm3V5W2eC7Hrw/1wtwXehtJViOj+sFOK6H5Xi9Oe0TIGHbHq7ro6pH65g3uNcQgGnffR8YhOP6uAPjdb3he2y0Le5sNPD8gNlSimIujmG5+H4QPSvH9Yfe1QiffVR7hQm+H8pc2/F6TFgOG+UOcS1kUurTGnt+uP48P8Byw/nTn0N2T346jj8kvxzPR+wVYwQBtDp7iZb9Neb31nh/7X1UufBJYf+6GNQDOsawrDRtd2jvcD0fuVfJ1ZfXg3/3/QDP85HE4UQt1/WjoJJle/h++J4IwOo/6317meP5SH5vrwnCzx81Pcuy3ej6ANY9dJKjoLNPZpsD5/N9P0qAgYNydr98v59+0t2vT9kfTZ8Z4XAYPd28v15dz0cjXAue73NrvYFhur113Ns3ev+CEMpwQrW0L8/754Jw7g1iv959GPbPGdv5ePP1KNg/D/fr8ZblDuni5mgejvAZQd+W6yPUz8OfQ5kWYFkunh/guT6G72K7LookIYrhvjCwNKKfXa+nT3thf236+r4V6iaDe4Npe0Nj2L/vPyj667dvC/R9EkfZf0YY4fOCQdnq+0G0TiCUcelARRAEGp1QhxT2+Z/6GJSfHXNYxyvXzYHjBq8H7c7esYP6736ZH8rbvYIFPwBJCDtVdgdt+p79fJid3unu+RZ9L8AK9r5n3UPHsPfZDI7jQS8hfEhnd/2hYnXDdsn0xuz7AdeWa5i2R1yXOTmbG/L1HQVez0brw7RcGEiI/DT0pI+LA7rdIb6iET49OK6PbXt4PpHf2Pb8nh8BgkDAcQNcN8BxQ9973+417T09wfMDDNtFlkWcnv7ftxcMy0MQQBDBc4PQD+j52I43ZCsYljdkp+5fW4Nzx/NCH5fV8yVC6Hv4uHq5u2+NjebnCCOMMAjP8w/sU13T4eZaHdsJ98hBhPpKGFcI/IBAFAiCsGij2bGiOCkQxUcMy93bG4Pwmq7n4wfDPkzLcXFcD1kWsR0PYUCl2G9DOa4/tN+Ge7g7ZP85vWvIUrjv+T37qWM6BxrxGJaLPWC3+QFYdniNfhHHfr1q8Pr3QrU1nPBh7LuXe+k6n0Rsd9CHG15jJBceRzj73tNHffd9e8bvxSX789h2fOL7HPF9vdzzQkeI7XqoshTN9bbhRMeF59iLrwB0uuG1Ar+/1sLPXdONWHQADMNFFAVM26PZsfF9n0RMRVclXHw8P9SRdFXGdNyha/Vjim3DQR9gsu7nZvSv2V/LluMR7zXGVGUJ1w/Qgl5Own2wPydk/3301+d+n2uz4wwVne23I0d4sjC4R9uOF81/x/XxBBBFMZKL/bXSNR0qvWaMjushyWExXuCHtr7vhzIv6AW7A8L4k+P5+J5PAFF8ze7F8D0xlG9uby17fnAgBhbG+sLfhdcJwph9MJzrAA+eU+O6ww7SB9mT9uet9PMSonP3ZPeIXXiEJwG7PeaoB2lQOcLHw/QAG8f/+/cu81/82hfv21RzhBFGeDxQ7xiRfwBCHb1aN8g/4YVwG73i1CcJxr48zkrLvMuRn32MuKOfYPi+HwVL0kmNuN4zvAWYKMQj5o5sUiMZVzg9l0dVRHzAJ+DC8THiesjkkNBlJgphZ9zj0xnOLRQIAj/sBNGjRASYGkswORYPu7roIWuGHwTMFJOcO1ZAkgRyKZ2YJpFJaoiiwJnFPJOFeJiAFgQcn8lg98ZdzMWixFJZFiN6t/0JLQ+Kswt5ILxeOnHvDvoThXhkMGZTGro6nPyZ0OWhzuITYwkmep0Ds6nwueuqhKZIUbXkRCE51Nnm0kfsFlPKx6OAva5JzE2k0FSJuC6TSarEYzJxXWa6967HczEk6cGX9cm5XPQeVFXi+CdUJVzIxpB7QXNRFBh/SBTLnzWcnM1GzykRUzk58D4mBhh5nj5djOarIos8dXIMz/fxgoB8SsPzhgO0xVwcURTIJTVKhSTppIamSEiSwItnS6hKOI9zaZ1kQuXUXJZUXCGTVNFUCUUSObuQi4qYEr3OeqV8HM/zaJs2+bRGqsdaIQiQiivomkRckyInZrgeAiDg1GyWRFwhEZORJYGJfIzFqTTphEoupTGW0dEUGU2RODmbRVXvX3vY3z8GaVILmdiBrsJ9OK6H7ewFbMayMcayOgjhPC1kY6QTe3vI7fUGthMWqixtNnFcnzPzYUKIpkhkkirJuEIxHztywORxw2BQa4Sj4RsvzKIpEp4foMowV0ohKxIxTQ4ZGLyQaaaYD9ehKoukkyrJmMr0eIpETAbBJ5vUyKRUPD+gVIgzM54YkC1xUokweamUjzNX2pMzhYyOLIuIgkA+rZPQZVzX/8hy4Sj4KPOkf/8AqiKST++trcnxJNmU1itmCTgxk0HXJHQt3Ofy6RiZnjzPJFVimhzJY4B8Rj/UmaprcqQHTI8nSSVUZDnswjeW0vB9n4lCgnRiT5fKp/XoO8m4QqLXSc62PYxeoetR7z+TVCMdC+DkXDb6+aPoO8dns2i9vV+SBE4O7HWKLFHI7EW5Bp8PwOm5fKRXJON7+t3dsDiVigqPJEng1AA7wggfH5PjyR6Lm44oBIz3WCpEAUr5BLIkkk2pKLKAroqMZTRURSST1JAkUGQBVQqTO2VJQJEF5iZTvSLNINI/Pd8npslk9jHleH4QBXf6dkUqru6xhQjhHHJdP9LdIQy0PEz5dmpAD9VUiePTw2x1hYw+5Hg+KjPICCM87tBVmdyAHCzmYhR7c11VJGaKSYr5BNmUhqpK+L5PMRvv6dkiyZiCJouIQqieSyIoUo8ZK64wPZZEkUJdP6ZLTI6FHSjHsvFozS1MpiLZF9fkI7FF3gt9Oyauhfr7ZCGBJAmPrAPY4D43wgiPC8aysSH/y7GBLvYnZnMEgU+ja3FuscBYNhYVe5+Zz0Z6XFyTmZ/I4PV0ya88PUVfDU7FFb58YY9y+sVzpeh7hazOhZP5XgOHgFJ+T0ctZHRURcTzfQQhlLee5+O4Hs+cGieuywRBgKpIvHB27/wLU+m72unPni4i9RIoUwmF84t7vrFTs9m76hQThXjkd4jpMumBwolB/XZiLEE6qdLsWHi+N6QjBAR0DAffD2h3HTZ224eO8TD0x6Up0hDTxqn53JAtM6h3PyhM240S1j5JjOf27C9FFocYGD8OfP/h6oOfF0wU4syW0iRics+HJDKVj5FJamiqhCyJFPNxxtI6ybhCKh4yPmuqxDOnxtFVCUkUyKZCX2EqrjLRsxv0mIyqiEiigCJL5FM6qYRCUg/ZADNJlWxax/U8JElgppgc8pcXerYxQFyXmRhLoClhcmQ2pVEqxJkeT0Z6QyquMnMPVsc+7jVX9q+x/fbrCCOM8PnGoD8PYLKQYHmzhWmFBQ2W5UZJ/qIA8xMp0nGVUj5OIq4gi5CIyRybyXLp5Dhj6dCuEkXIJFTmJtKcmstGrACJmEIhE0NXw/30+ICucmYuT7znK5mbSCKKAr4foGsSM+PDe1c+rUVxTlkSe3ZdnJimUOj5LvMZnZlSGEOURJFYL943NZ4KY5Q9X6gghL68QjZGLqkh9XzKZxZyQ0nihYwe6XuiJKAe0sznsL340rGxyDcrCPCFc5NH1nUm8gkCAjzfJxFTDnSS/Si+o8Pe+QiPH2JaOF/7GPR7PwhOz+cQhHDtxTSZsWyMmCYT0w/aFqoikc/oqEoYHy/m4uiaFK3fiycKJOMKMU1ClgSmi+E6LfbsnS9emgx9p4qEJkucmSugymJoi/XtDk3m7EIuTHp3PJKxUA9zvbBgfaKQQBJF5ifTJOMK+XSMhC4zlomhKALJuEoQ+LxwthTmYgQBkihEccpnT40jCqFPXpVFJvIxYqrEbCmJqkioskQypqAr94/lpJMaMV2O7Lq5UhK5t+5FUSCTVPF9/4DP9YsXJ6K9IhVXmSveXZcb+VMeP+yPR41nY1Ex30wxSSYZzteJfJjHoqsyCV0mk9TIpTRkSSCTUGh2bVw/bIggiQJT4wlEMUBTJQpZnclcHEUWkCQBUQhzbuZLKWaKKRRZIptUiesK47kEpUKchC6TjIV5RqIoENOUoRgYwJn5HPlUuIZ1RUJRwvWnKiJn57PEtL1412G+/3vNx7i+J4N83yd3j5yg/cj34qoQrp3JQmIoDlEaiGeOMMLjjt2IiWOUf/Vp4n/37TPIksg7N3Z569rOox7OCE8QRvlYjxbHpvOMZ3W8wMcLfCYK8SeygEPZR0L+q3/x3KMZyMfA15+din4WRYG/+srJRziaR4tHysQxwkdHvWXyJ2+sYFgehUyMb7w4x9nFAu2ujaZI6L2Eu2xSww9Cet6O6ZJOqtxZbyBKAtmUxtRYnPWdDrOlFC+dLzE5loxodK/cqdExHWYmkuAvACFjystPT/P2tV0cL4OqSASE3cE2y10uHB8jHVfYqnao1C02dtt8741Vqi2LoMfe0Whb3FxtcGYhx/NnJ7h4fAzDCmlDFVlkabPJTrWLKAqcnM0O0f4eFZNjCWZKKSp1k41ym9/+wS3yGZ1vvjgf0SH1EdPkqKtZTJMOVMcKQmgwtg0HWRIiSuBUXOkxcIh0TYf1nTbv3yyjaxJn5vP8tZ89xc31JnFNYrZ0kFr+KMildC6eGMOyQ4eRIAgosojj+kyNhdSXqbjK6fl8L3H8o1FulfJxfvErx6i3LPKZ2F5B0EOGpkhcPD5G1wy7faj7JcoIQBhk/4UvL0bvQ1elA/MPYCwT42/9hQtcX67R7NoYlst2NaTiFUUBzwu4cKzATCkVraVLJ8cxLZcAcNx5KrUu2bTGRCHJbq0bUg3HFTRVJqbJdE2HMwt5qg2Dn1zeZrNsUGvafOXpKYq5BKIosFXp8Ls/vEOlZaKpEs+dLnJiNsfCZArHDbi+XOPd67vIssgXL07y7S8uoGsyjuvx3NkiP35/K0xUTWt87dlppgpJrixV0TWZrz07QyalkU6oEX35vbB//5goxDFtj1IuHjli+vD8gA9vVXjv5i67dYOJfJynT41zZiHPFy5McmahQLVhUGtZvHdzl7lSiolCYrjLVxB2H7x4YpzJsQSG7ZGKKfgBrGw1Wd1uk06qnJrNPRGOniAIuLFap96ykGWR03O5vWTeEe6JtC5hux4dw0FWhF7n64BLJwvkUzFScZlELKRGvHQilHvPniliWB7b1Q5X7pRpGy6SCKIIuhYm2KuqzHe+vMhOpUMyrtA2HDqmy+JEGkna20N1VY72V02VeOvqNgCp5MOnYvT8cF23ujaqInJmPh/pHfd9TgmViyfGMC2XREyJnMwAqixyajbHTaGO5Xj85MNtfnplh7lSiqdOjaOpUi8BJCAVD2XibClFLq3juB7rO23eurpDTJM5s5BDkfeez8nZLG3DQRQEvCCg2bK4sVLj1kYDRZGYLqaQRGFIlwr3SZ9kTEEUBd69scMfvb4SFsfk41w8NoamSpxZyA91utoPURR55flZNitdNEVkrOdAu7PRYLdmPLC+k46r/OJXj1GuGWRT2gHZf3wmSzFvI/So4AcxP5kmm9JodWyKudh9C+PiusrPfWWRcs0gndJIP+HUno8TdqpdljYbeL5PMiaTToRF15osgQiaorBV6SIQJj6lEiqnZ7N4QLlm0GxbZFMq+D43N1rYto+uKpyaybC22yGX1Pn6c3N0TAfL9sinxSE5tFPrsrTZBCCX0nj/Rpmu5ZLP6Lzy/ByW7aIqEtvVDn/0+jKeF3ByNkx8uLpUxXH9hybfJgqJSA8dy8WGEhEgXEPfenHuwBoaYYTPAk7MZEP7eK3BdtVAUyVOzIR2diKmsLrd4kuXJrm1UWdpvRk1Rjg3nyOZVHnt3Q12ax26dsi2Ydk+lV7AZnEyzen5DPWmzVQxjmX7LG81qbctnj45TjqhEtdlDNujeZf196AoZGL80lcXqTasXuGp8Mjsvq1Kh5XtFgALE+koeWOEER414rrCpRNjdE2XuC6jyBKtbqi7letd/offuknHcMindRZLCWptE0UU+MKFab7yzDTNlkUxF2Oz0mW7Z/t+8cIUxyYzbFU6PHNmglR8Twf8t185xfljBXaqXZ47XWJlp8VWtRsVW/UhiiKyKGLZHnJMwHV9ri5X8QO4dKLAFy9OsbbdYiIf54XzE1SbYUekeyVdz5RSfOH8JNu1LguTSS6dLLJTM9AUkbiu8M71XRzXJ5NUOTmgUxQyMRK6guV4JOMq0oCuUczFScZCf5wYwH/9v77BZsVAVyT+w1++wIXjBVwvoGPYrG7vFW4cNQHJdjyuLlcxLY9ETOHUXJZSIY4oCCRi4ZgOs2WOCt/3+f5ba2zsdlBViZ95duYTbXCSjCmR/flRx7wfra7N9ZUanhcwlo1xbPrjFQB+nlDIxHj69Dir200aLQvDcWkbMs+cHOfkQh7B99iqmlRbJqbtMVdKkYgpnJjJ8PzZEs+cLnJlqYIQCDQNh5likuMzGXIpje+/ucrSZhPX87lwbIwXzk/guQGvXd7kg5u7fHi7TDIeJhZfPDGGIoucnM1Sa1r82bvrXF+pEbu2wzdemCOb0jkzl+X2ep1Kw6BSt6g1TWoti7Fs6Kc8f2zsvv6iwblSyOgcn8keOObEbJZW147W2AgjjDDCIE7OZml1HSQx3CNqrUr0N02VOT6Tod6yeOPyFm5vr/mVb53m+kqN5c0W6ZTKXCnFh7cr7NRNxjMxSsfyfPP5OYqFBIosUcon6JgOmiIhAG9f32Fps4lhubQ6FggCluMxM56k2jT4vcvbVOoGtufz4pkSr1/Z5itPTQ/5S/PpGKfnc6QSGluVDr/353fwfJ9zi3lmSyl0NUyqNSyXLz89hWV5FAuJKHZ5frFA2wh9vLoaJsaenstRbhgkdJnpXuK109PXDNNFkgQ6hs1PPtjmT15f4cKJMX7+S4u4ns+15Rodw4lil337TNdl/tNfeZYPb5fJZ3UWp7JH1nV0TYo6qY9npSHf0H596sx87shNhgZ9uCO58HiiHzNvdQ/GLB8EC5MZcimdVscmnVBodhw2Kx3evb5LMR9nYXI4rn5iJkspH+f8sQJ+EBZvhYw24RhKuTg7NYOYLocFrgP2zvljY/wnv/I069ttZiZT+B6s77ZY3+0Q02SySZWtapetShhfdXqFG64b5jQossBTJ4ucP1YgEVPw/YBW1yYRU1jeaLC+02R5s8HqVou4LiMIApmESqmQiHz+ZxYLjOXj3Fyp8cGtCi3DRlbCplyiALWWSa1p0DYcJscSzN6jWFYUQJMldkyHGyv1yIf09KkxrizVuLpUJRlX+OYLcwd8rjPFFO2uM7Tn7MfIn/J4wfcDrq/UaHaG43G6JnPxxFiP7cWnUjPY7diUCjG+9swMr3+4xep2G4EASRJodmx+70fL7Na6BAGMZTRuroXnNSyPSycLXDgxRqfrELu6S6NtktRlJsbjLExlyPXsiPdvlbm+WkcU4eWnp6Pijbgm0+o6xHX5gP9+opBgcTqDR0Cna6FIEpuVDpWGyY3VBF+6NEngc2gM6n7zURQFTs/nWNps8tr7G9xcazBRqPPK8zOI4r1lz2Bcte+/XIxlGMvGDo2vjTDC44zdWth9fewJTEJ+kjFRSPALX1nkt35wi//5dz7k6VPFIT/mCCPsh+f5XO3ZZ0fJMxnhk8OphTy79XDvPHcs/4hH89FQyOhsVfeYK05PfbQG848Sv/pzF1BViZvLDb747DQvXZx+1EN6ZBgxcTyheO9mGaNHRVhpGNxaqyGJApmkNpRI2e+AEtMVOmZI4Xl6Po+uyqxut6k0LWZKSZIxhZXtdhR8/e5ryyF1pyqzWzV57cMNAEzLZadmMjWexHEDTMvDcwO2q10838cwXVwvQOhNrUrTpN6y2Cp3aHYcqk2L9d0OAFeXwsRzVQlZOxRZpGM47FTDTdL3A1a2Wh/p+axstYhrCq2uTaNtY9ku1YbJjZXagWOXNpsoskRcV9gsdw+lghdFoZfksmesxXWFdCLsBG7ZXkj7SEgruVXpIEkSp+dyH7mAo4++Q1eSRGotk3bPad3sOARAMq5SbhgfuYCjj2Svg9onVcDRhyKHHaRHBRz3xuD7OGz+RcfFVHRNRpUlKnWTrUqXRjtcc4blcmezQb1lUe9RY2u99ZZNaoxnY5xZLDBRCIsjxnNxZkspsik9otSN62GH8EbHiShETdtjebMVOeZ//7UlLDdcA422zWa1y1tXd1BkGd8PuLXewLRDCtK3ruxwZ6PJTDHF4lSWH723heeHBqUsirQ7Djs1A9vxSehK5CQ5SgHHYftHIRNjejx5oIADoFI3WNluUm4Y2I5HuWGwvNWi3rJQZImxjE6zEwaSCWBlu4Xn+aHztGd7lfLxSKkey8aZLYbPr9o0sXtUzc22TaXxZFB+Dc4V1/VZ2/loe/DnEf/f792ia4ZJz5blc2e9yXg2znbFIJNUSSf1qNPtntwL2SB+8sEWfhA66zcrBvWWjQBRIYYqi8z01uZMMcXpuRyqenAPVWSRhK7wwa0yiiyhyBLv3tiNWHAeFioNg1Y3ZKOwHZ+NcueBvt/fh/YHApsdm3o7TApZ321HiWEr2y26PR2mL3sHCy6TMYWu6dLtUZIblsvWPqpAQRAihoF0XEXXJNbLHTQ1ZEp562rYHWNQl4ppIRNXf6/7/ptreF6A5XhcW6rRaJtYtnekrr6iKDI9noyc123DiahtfT+InNBHha7KzJRSd5X9qbh6VwdzJqkxU0odidlo8FqjAo6HB98PWN5q0u46mJbH+m4n7OIYhB0T8aFt2PhBwPpuG0kKg/ZXlus4jo8sSSRiGgES9a6HgIgki/h+wLs3yqTiGtmUzg/eXkUUwkBmox2uLwgL9pY3m31SLP7s3XXapgNAtWFya61OJqkR02TeurITyf8bq3WuLlUiSvJm247W6cdFX++5WwL5/jU0wgifFQiCgNHrJAtg2R6trkMyHsq6atMkrimkNBXb8SP90nF9rt6pYnvgIyIQdk71AdPxMEyHpa0mnh+y/nRNj92GieP4NFoWdzYaJONqqIvcZ/09KOJ6eL5MUn9kdp/Xl629fW55q/mxmD5HGOFhQ5H37AHY091+8/s3MSwXURTYrXV583qZdFwjpqv8wU+Wo/Xq+qEfDvZs31PzeV5+dnaogKOPMwsFXn52FsvzaXWdyNZe29nTYysNg26vwUoQCPzwnXUUOWTr/OmVHWzbYbaUQlHCZIuJQuK+XfM3y2GhwmwphecLVJtWJM/Xd9uRTtFo29T20WTrWs8Xdkjgs28TfO+tFXZqJpIo4Hg+v/WD29HfxnPxqIuvLIsRW/H9sFnpYPb8rR3DYbduDDGV3c2WOSpWtlts9Pyitu19Kl361I855v1Y2WpF+mG5vmcbjnA0vHdjl47p4ngBvi9guh5LW03GMzFUTcW0PQQE2l2HestClSV2erbjWDbOeDYBYlho1TYckjEVPwDL8UnGNRIxja2awam5PDfX63S6DqYTsFszqTbNyHe2WekgCAK7NYNmJ3yHhuXx9vVdAFZ32jRadthVmoAfvL0Wdp1XZUDgKFJ1cK5UGmZ0nf0YYgMcYYQRRhiAIIRxkf4eMT2ejPx02ZRGPq1zc62OO7DX7NQNZEni+EyWbELj8lKV2+vN0OciCkiihOF4kR6WiCkUc3EySY313Q7luoFhudxYrWE6PrIkstsw+OB2hT97bxPD8jAcD9vxWS93WNposlvrUhmQiX4Q4PmQTaq8fW0HApAEkdsbTUq5OOO5eCSfx7Px0E83EL+QpDCG1rfRdE2mkI1xej7PTCkd+UV3al2Mnj/U8wJ+9N5m1IDqg5tltiptdmpdOkbo8zEtj83KsB9X12WeOzfB4lQWOLqus7LVQhJDX3S1aQ7pA/v1qb4cO+o7H8mFxx/9tflRCzj66Pup00mdWsui3z9tp7o3bweRiofNDNOJvX/7Y1B7PuxCpsdyts8XMVFI8ty5CUq5BK2uTZ8Uz7BcVnfaBAHcXGvguj6yLFJvWmyUO0iiiK7KvH11G0Xa69gPoT6/WzdodF08DxzP5ycfbmPZHoIgIArC0Joby8Rodu1eHodAq+OwttvBtD0qdZN6L59hs9zBcry7Prd+HKXVdWh0bJodG8f1+fN3t2h3w+fW7jp8cLtywOeaTekH9pxBHOZPGXWJfrQY1KNtx2dtIB7Vz7m4ttLAcn3SCRXD9Li2UqfatEjEFERR5INbFWotC9cN/Y5+ELBe7lCuGWGDBFFgfbvN1m6XRstGkUUkSURRZDbLRmjbyyKZlM5GuUNSV4ipMtdXakwWkkyPp8ilY8z1GID3Y2W7hR+Arsi4vkDXdKm2LLqWS6tjc+VO7dAY1FHnoygK3FyrRXvIVqXD8hFzjA7LW7lXfG2EER5HeH4Q5aIMssmM8OngV755imRMYXmrxZ+8sfKohzPCY47duhHpuZbtsfmAeTYjPBzUmhZvXtlGUxU0VeFH721iWdajHtYDY7CAA+D/8b++8YhG8tGxUe5wbmGcX/raCcZTsahR4ecRIyaOJxTiPrYI8QHqcURRYK6UQlUkzF5wODzn3c8v7atU7zsJw3+EKKF5+Jjhn4XwyKEgz/5RC/vP8xGLVPvnEYh+OPz8h/xuPxPH0S74EM7xQNfrPX8G38MIn1cICOEcEAbmQp8++yFNjgPrZGDDOGy+7x9HBFEYPtch28dHXZMPvH9E+9L+Cw5fe79DqJiLk0tp+AF3rYq+3z09tvi097LPEIRDkotkSaSYj3Hx5DhJXblrt/ro98Lwnv5Rnv/+xjKfxht8WNNkSG9geOz3exYfewhHOMHe+zvI2PVxLzdaaZ8v7JeRg3qrKAjkczqiKNLq2GyVu4ecYO+fg7Jv748H2OUGZtqgfDvIQjfwQTzsHMHhx44wwggfCffSYfvrVpRE0nEFH1AkEVmR7r8Ah/TsfXbjZ3ztHuZ7GO1XIzwJEPZ/EPav4qN88WMfFh57j2t/1OU07Ar4+Ityvw4z6P+QJZHziwVsx0NRpCN3wTt4rw9389h/vs/C3vQZuIVPFYIgRH5yiCT0/l+E/xzwEQwdEn2WRKGX9Bp2hk4mwqRGQRQGzjfgnB+83D4fgjh4/L5xD30+0r3e+/MII4wwwoMim9J4+tQ4rudHCcn79xZx//7FYXvd4fHUKN4JB/QWQQBJOPi3/vf2p5T2x9VnTN+7+MPrrXi/bVUUxAOxjU9qK77XeUf7/whHwqPUG/bpYboqo0oho7c8wIYuHRIO3B/zuV+s4GHFbIfOFe03w38fLb3PBg7o1Icds+/z8LQUBvJJwgKsQkbHsl22B5uh7bM5DjuXyEF/21HEWpTH0L/M4EmFhyMa96+tkewZ4fOEesvE88OCrFxaf9TD+dwhGVf5lW+d5n/61x/wG9+9wpcvTY0Kkkc4MkbiaoSHiYfVxOnTxMPKE/8s4Ml7eyMAcOnUOJoqYlguybiMJEGjfbAqrNmxqbcsgiBgaiwRsSw4XthxJaFLIIR0o9NjCVa3W7S7Ni8/M4Wmhl29ZospvnRxAgg7vkwXkyDA1HjYda+YjzE1lkSSREr5kFIxnVQpZGLMllLkUhozxSTTxQSzpSTzvS72xXyMW+t12sZeh5a4rjBRiPfGJEZ0qVuVDkubjbt2E/f9gFprr9vL3EQa1/cZz+mMZWNoikw+rTOei2Faw0wbC5MZJCmMXkkiXF2qRGNyXJ9a08SwDrJzDKKUi5PqdQeI6/J9uxGalkutaWLfo5PGfliOhwAk4wqaIjFRiFPI6kiSwPzEx2P7OAxe75m2D+l2MsKnh1Y37Ejp+2H391rT5J3r2/zovXU6vS5LcxMhra6mCKiygCqLTBWSpOIKi1NZHNeL1obRm3vOwFrqz8dKw6Desno02MNz9NxCHkmCla0mlu0yM57E63Wz/YWvLBLXFRK6QiGjM5lPcHohh+14JGMqZxfz6JqELItcOl4gl9bxgwBBgK9cmo7ohMeyMU4vFJgoJCLDJhlXGM/Ghtb3fvTHKku97pr79o+7YSwTY6aYJKZKeH5AIRPj+HSGbG88giCwOJVG7BWeLEykI9rvfkfSu2G6mETrMSX0u4I9CcgmNQqZcKyqIjJTvD8Dyggh/tq3zpBPaQQBpBMqT50eRxDgqZNjeK6P7XrUW9aQrO7LrpfOl0joMroqc2w6TTEfQ1Ulnj9bAsI5fmejQbl+SDL3PoiiyAvnJsKkEAGePVM8lInmQeB6oSzs9jr1j2ViQMDl22VqLQMBWN5s4vt7+0qjbR2qlwyif//t3tpOxdWICvnsYp50UsWwXRYn0/eUq422haZIJGJ9BiGZuC7f9fqG5SKJIsdnMiCAKku8eC581l7vXjuGQ9twqLVMTDvce794cRIAUQg4fzxPJqkT02WmjtDVd7+ekogN6zvzh+xXdzYavHdzF8M+mq7QlxH36tI1wuOBUL5kMC0Xz/e5cGwc03bYrLSQZZgsJCg3unQth+fOFBGFcG6+/NQU49kYQhAgSgL5tMZ4Loamij2mGpkLxwr4foDrBbzy3CyG5bBd6ZCKyWRTh8u3rz8zTSYR/q2Yj3FqNheN9YWzpXAPEeDcsUJI6/oEyrcRRnicMZ6Lk06EtuSgXLEcj2xKo2M6pHSZfDqGIol4vk8hrXF6Lo8kuBCE8leRBWQZErpMMq4wVUigqiIBcHwmw8mZLK2ujWE5LE6mP9O03qIoMD+ZjvShxanMqDh5hCcC//YrJ4hrMrbrMZFP8JVnJkPbGfjFLy9Gx8X10E7ernVpdWzmJ9J0TYda08T1fOye/bBbG7YfsimNfM/e05SQIaOPsUws0hV0TeJnnp+hY7o02xYvnp8gk9Jpd21kWWByLMnqdovVHpvc6naLP3t3ja3KMEPd9HgSz/PZqnbQVJGx7F43wJliEstx2a50iOkyybjK0mYjYhjp34/nHfQDble7LG02eOX5GWaL4T3EYzJ/+ZUTQ8eJooCuyYfud33deT8b7+SA7zQVVyneo4PhfnvmKJifTDNbCu3smCbx3JnSkb/7uGB+Mh3ph6V8/GMzA3/e8OK5CWaKYZdoXZNJ6Arnj+UJ/IBsUiUVV1AUgXhMRlcl2l0bRZJw3JC5K6bLZJIqshzO67WdJo2OxamZLK4Xdo7+2RfmALh0YoxMXCWVkJkYj6FKAoZpIwjhGjBtl2NTGcZz8R4LECxMZVjZbgIwUwx1kpgm8crzs2EgUICJQvxICQlzE2mUnj+imN/znY8wwggjfBzIkohpu/zZu2tcX6kyP5HCsl1cz2e2lOTMQp5MUqVt2KiKzFOnxjk+nSGmhn6R6WKShcnUsO7U0wvSSYWYFrKhnprLUcrFQ7ZeRSQVU/jmi7OkEgrJmEIqrjBRiDExlsC0PSzbo2NYtLs2uiYxNZ7EsDxOzeWiAr5nTxcPdL/frXW5s9HAtu8dg+z7WttdmzsbDaoNA0UWI3kgSQJffWYaSRIQCDizkEfXZIq52FDscvI+jOd78aN7+xfvpQ9M7dOnxnMjVtXPGxzXO1JsfRALk2kc16dtOpTy8SGWj8FYQ18Hr7etB4phD8blZ0spGm2T2xt1YprEhWMFZEnk1FyWbEqjmItxci7PM6dL6KqE7wc8f7ZExwzXhe36EZPgbDHJWCZGPCaTiil86eIEiZiCpspslTu8/uEG11eq0TieOV3Esh0s2yWf0jg5m6WQ0ZmbTIX5DFqo6xmme1cGjEwy9AkXczHGMzE0WUQU4EuXJsn0/EuZpMrFE4UHzkeQRIGFkT/lsUI+rQ/Z6tOHxG3PHxuLjslndJ47XeTC8QII4Xe+fGmS8Z48mJ0I49dzEymmi8ko3n3x2Bi+7yOKENdkStkYqYTK4nSW2VIKw3LpmA7PnS7R7FiUax2mxhJsljtDjHuG5VKpG+zWupGtPDeRIpvUSCdUZktJivk4hZSOLEJCU7h4fIxa02Sn2mW31qXaMDBtF0kUmC8lKTcMyg3jnvPxmdNFYloYt5gtJZkb8Hf0fQj2IXlG9oBv4GHF2Nq93A5vxAo8wqeE3T57Z0b/TPv8H2f8/JcXmB5PUGtZ/MZ3rzzq4YzwGONAPHD8aOzRIzxc5NIaz53KY9gOhu3wynMzaJr2qIf1wDi/mB36/Pf++hcezUA+BqbGk2yWW/zovXUM2+7lon0+IQQjDsQj4/333wfg4sWLj3gkocPi+kqNesvkg9sVcqkwgevrz85ETriVrSZbvQr6TFKNnIUrm3X+4T97B8vxEAX45a+fQJJE1nfatLo2MVVmbiJFrWVRzMZIJVXOHytE9MIAQRAc6ODr96p7++h/7lOP9pM7RVHk9Q83+P5b6wQBJOIKf/3nz5GMqQe+C/DO9R0+uFUBIJfS+PYXFoYSUoMg4NpyLTIQp8YTqLLE0mYTPwhIxBTmSilurTVwPR9BgNPz+Ugw9vHG5U3+9M21aEz/7rdPs7TRCpPdBTg5myWXunei2v5ncBiaHZtry1WCIHQ4n1vM96hT746O4XBlqRqd/8x8jmRcPdL1Pgo8P+DKnQrdgSKB+xWmfF7w5ptvoqrqp7IPrO+2Wd8JkyAUWcTzfH70/iZXl6rEdJnxbIz/9FeepWnYLG00+dM3V6m3TDJJjdPzeX756yf40zdXo3MUsjpjmRhBEJ7v/LECpu1xbbnKTs2g2baYm0gRjym4rk8QhM7/swt5Nnbb/M+/e5mOYeN4AV9/doazC3nOLhYiY9A0XWzX5buvLeG4YZHGly5NsTiVwXV9OqbD9ZWQzlSWBc4vFtB6HbP6+8QgfD88x9WlWpT4PF1MMj2+56Bqd22uLtfw/QBJCs+pKtKR1oXleLx5ZYvb600gYLaY5sULE8T2rce7dSo/Cj6pNfpJ40kd96eFw/YB03K5fKdK1zDRdY2TsxlEQeDaSh3fD9isdMinNDRVppiPMz+RGprbU+MJitk4qioNrQfTdvk3P1qiazggwBfOT3BiIMH6bhiUuR8Hrufz4e0Klu2BAMenM1iOx3//L9/Dsl3aXZv5qQzTY0kmCnG++eI8t9bqEW3rWDbGsenMIeMLuLpcjei9Z0pJpnr6i+8H7NYNljebeJ5PMqFybmCvGcTyZjNK9MqmNE7MZLm90aA6QBu7OLV3/XrL4sZqLdoHT8/liPeSTzzP5/KdahisbJmIgkAiprBT7TI5lqDSNNEViZguk0vpnJzNRoVd98J+PWVyLBElzN1trf3grVV+/MEWEDrp//2fO4eq3r1wbL+ecG4x/7Hp7Ee4Pz6OTvDq22ssb4bJUeVal/dvV3AcHx+fbFJHFAVimsLxqTSJuIrv+8R1Bdv1WN/pUG4YmJYbJnJpEsV8nMmxFNVGF9vxGcvGSCdUOr1jknGVn/vSQtSpEg7Kt8NkcR/7/zaSEyOMEOJh2gaD66q/r+/UulQaJru1Dq7nU22YxHWF7ZqBLAqs77bxPB9RCJM9Z4opxjI6laaJ50FAwNxEmm++OMvqVpu3rm1DAMVCgr/2rdP3tUOfdHwcPX6EEY6Kh7kPbJbbfO+nqziOS0xXOT6TwbIdFFkZ0iFd1+cPfrxEpRnqrPMTKTRNhiBsTrKy1abTK8B+7myRswuFoevcS473//bjDza5vlIDwgKPUiGO6/pIkki1abBTDQPEogDv367geQGKLPI3fuFcZK+sbbf4wdtr+H6Apsl8+6X5qInDnY0Gf/7eBoEfoKsioihiWGGixNxEGr2n++qaxPnFQqR3v39zl3dvlIFQ//+3vrCAbXvE40fXfbtmuMd6Xs/HtpAnuS8h/X66zgF7pphkavzoTRDupXc9KRjpg8N4kL0gCAI+vFWm2bFodh2Wt1oEQUDbcHnqeJ7bmy0USWCz0iWmypQKCeI9nT/0zwfcWm9wbanK8naLXFJDlkW+89I8iUTYTEkUBVa2WlEi1vs3y7x5bRfb9hBEgUvHC0yX0nzzhVlurTWoNAy2q11M26PaNBnPxpkci/Mzz86gDtgQH+W9j+bKCJ8XfJpxg88zqnWTf/Qv3qZtOHRNl5lSktliikJa5yvPTGNaHnc2GvhBQFyXOb9Y6DWx2ItVVhoGt9YbEPRZNALaXZetSofp8QSpeOiLlGWRP3xtiQ9uVwgIi9j+yjdOs9PosFM22NhtsVs3CYKA7WqXdEKjmI/x0vlJEjEl8vtoqsi5xeEYK8CVpQpvXtkBwmKH73xxfmjP7eP2eoNy3YhiIcm4QqVucv5YnmxaJ5fSqLUs6DGHi2KAYYW+4VIhzvxE+kh7cT/u3PebnjtWuGcjKziaXvl5wmgfCBOiP7xdwXHDePypuVxkA9wLm+UOq9st/CAgFVc5u5BHFIWhWEMho2M7Po2Oxep2i0RMYSwTu28Mu9W1ubq0F5e3HIcfvhPaIomEGuUo9Oes7/sIQnjt3VqX9d02qhI2cBzLxPjwTpla02K3bjBTTLA4lWWqkGBmIhXZGu/fLPPHb6wgigKKJPJrv3yBF89P8ebVLf7kjdWIPe1Xv3OWdEKLrh0W44e2Vi6tcfIesSDL9riyVKHZsVnf7VDMhf7gY9MZCpnYwXyEY/kh3/C9MPKnfDx8EnvBUfbUgz58P4oR+n5AAFy+XeHaSo1ba/VeYz+Nrz41zX//m+9Tb1nYrsfzZ4o8f36CC4tjCAIsb7XY6cXhbq3XqbdMljZbiAIUsnGePTXO8Zks6aTK9eUaK9stPC9grpRiYTo9FPsLG7c2Wd5sIkpC1DSy1bEp1w38ICCb1JnpFWb+9Mo2a70GEotTGb7y9PQDPYPDfAhR/NVy+fBO6M9wXA8/kqMfPcbW38sgbObW38tG+Pzh09QJfvj2Ov/33/gp5xbz/Ff/0Vc/8euNcDjevbHLr/8/f4QgwH/zn7zMqbn753OM8NnGvfaBz6Ot9Ljh7/xXfxI10Z0qJPhv/7NXHvGIHhx/87/8fXbrYbG7KMB/93d/hpnxh98E/pPE7/35bf7l927gBwGKLPF//vee49Rc/lEP66HiqPUGT3a06HOM3ZpBx3BY2mxhmB6m7eB5AbfWGtExOz0jH6DRtqOq8T9/byv62Q/gtQ+2oiTvjuGwstNiZatJx3AIBLAdn3pruKtc32gPO8iEP+8XMP3PfUNIFMXIUHz/Vug0AOh0HW6s1A/9LsDtgXuqtSwqTXPoWMNyhyr8d6oG271ug6IgYJgu29Uubq97XxBwoBvhYWN669rOHltBsFfBfC8cRciW60Z0HdfzqbbMe38BKDcM/F61fthlxDry9T4KOj0HeB9HufcRHj76DhGAjXIHw3JZ2moSEDohqk2La6tVdmsGra5NpWHi+eB4PjdXa9i2G61tgBsr9YjNxnF96i0rmo+NthU6SboO6zvtMGEb8LyASsPk9Q+3cFwfxw3w/YAbKzW6pjvUcVLXZdZ2OzhuOFeDAG6u1tmpdam2TLarXTq9zvZdw43mMXBo8oIoChiWO8TAsV0dXru79b214XkB1aZ55HVRa5pUmv0xCNTbFtXmwfU4uM89KJ5UxftJHfejRLXXuU1VQ2d/tWlR7THbuJ5Pq2PT7CX47NS6B+b20kaTaivs9jK4HjZ2O2EBB0AAN1YbHAWDMnc/mh2brUrnSJ2wGm0r2g/6svCNK9u93wl0LY+N3Q4AW5Uu9bYVBVUglHmHdZvpWm6U8ATD+50oCuz05LQkiRj79ppB7AzI83rLwrTdqIADwvH6A9ffqXUjGey4/lCnrmbXjp5Jo21Rb1sRI4dhuTRaFo2OjSSKNDv2kbvxmLY3rKfUhu/1MLx/uxL9XG2aUSfUu2G/njD4DkZ4/OC6PitbrUi+fNALbNqeh2m57NZDvdUPAt67FQYYRFHk1lqddteh3g7neqNjY9oetuuzutPBtFx26gauH+B4Pu/fqkAQ6sNdw4nWah/75du9Egn3/20kJ0YY4eGjv64c1+faSjXsNNmyaHZsGm2HWsPEsDyWN5vYTsjw5fQKr32gbbhYtk+5YdLq2LQMGxCoNAxurta5ulwFwlaKO9UuW+X2vYbzmcDH0eNHGOFR4NZao9f0QMYwXW6uNVDkMGlgUIcsNwxqLQuxN78/6Ml8gM1Kl3LDGDrnftxLjvf/dnu9jmm5GGbI6tHqOL3kR4/rAz68t6/v4PY6NTuuz+sfbu1de71OEIRr0bY9Vrb2dNpba/Ve4qRAuWGxurOnp1y+XY5+Nq1hXfrW+t791FsWu/XuAxVwAKHvxBvQnesHfV7303WMffbMfl+F43psVTrUDvExwL31ricFI33wo8OwXLqWhyzLbFcMmh2bjuHgeT63N1vUWxbNrkvHcNisdjAth7XdNq3enLu+WsdxfLaroX3bNV1aXYe1criOtqvdaM8QRZH13Q5LW22CIGxoYtku2zWDruFwbbkW2cZBACvbzYihd7dm0N3nN/go7/1u3wmCgN2awU61O+pSO8IIjxiGFRYwDMrcxxVvXd+mY7r4QYDteFH8o9Hzd15drtLq2oiCEOkRfZugL393qkakO5XrBq2OQ7Md+nGbXQfXC2h27She2t+hyg2Tjd0WjaaN74fFd7WWSbVl0uo6GJaDZfvc2WwM6W6W7Q/F2/oY1NNaXZuNSufAMZ4fUO7pKpuVDq2uTdd0sF2PzXIXgt55eoNsGw7b1T3dpu9zPcr+vVszhvymd9NjBnEUvXKEzxdqPV8F9OPxR4sv7wzE9cMYdagbDfq5N8od6p3QL2rZXsTOsV8X34/9cfk3r+yEnwWBTtfh6lLIlLE3ZwW2q11ubzRxPTBtn2bHJggCbqzVaLRtbMfD9fxovTV68Ytay8LzAj64Vcb3w3iq5wd8/811AN6/WYlspE7X4cZqjUrDYLduYDseuwO2Sa1p3ZMVp9W1sR0fw3LxPJ9m2yYIiGKvB/IRjrCm+xj5Ux4/HGVPFUShx2Zh9JJD9+xOURRo92JgWz150zYcTNvne2+v0jVdHNcLY/trdUzTi+Jl/fXpuB4rW62QscnxKDdMTCu0WXZq4XVNJ2Sncr2QWWd3QCaJokC5EeY4eX6A44R+zHLdoN62I7umYzqhjO81u+zPx6XNZpTncDfst7VvrB30IfRRbe75Buoti3prj/GnfIif4CgYlP/9vWyEET5p9Of1eHbEfvYo8dTJcb7+3AxBAP/d/+/dQ9mFRxihj5Gt9GixvFWnUjcQev9tVrrUn8D8mnJ9L+fSD+D/8wQyAf3ovU1cL7SZbMfjT95YfdRDemR48iNGn1MYlsPaTpuu6dDoWJERPkhlPtghRRSFkPIcGMsOs0lkkypqrwOMYbuYlkvbcNlthBsWgHaP7s8fBal9AdY+xeNhiA1UuQsCJPThLhGKPNx1X1Ol4e4wAiRiw9857H72j2ksPUzRc7+OM0fF/msf5bz7j3lYY7kb1B4NcvRZGW0VjwLqwHtWZRFJEtF7v+tTcOfTMVRFRFWkaI1LgkAspiDLYrS2AXRNHuoar6lS9G77Tg1FFtEUCUkaXlO5TLhG+2stGVdBODgXU/FhhptmN2QJWdpocm25ytpOm92awUqvy+D9oMgig37C+60F9QHWhqZIyAP3KffufYQRPgoO29v780kUhbDjUm+dabKEIovReqq3LbYqHVa2WiHrxUBxQGJfR9j98uxBUWkYXF2qRte6nwPxwJpTJQrpPZktiUJ075IkEFPEISepLIuHMmioB9b2Pjm9T47fbW0OrnlJEob2QmDoOffHv/9+DrumIoXvqH8vshT+vFeYKhzonnc3yNK+MRxhn0kNvHdRgHTi3t3KPm09YYSPB1kWh5hVZEXE8/2egQoEArYTdquLD+i9miah9PYPWRKRxDCwKQoiMTWU3Wp/zoriIfvHiJ1lhBEed3h+wJWlCrs1g81yh7Zhh3aAKGC7YLlh92zP9ff05J6IEUUBQQRNlZFkCVns6/cSqYQ21D1OlkQSD5j0PMIII3zyiA/qgJJAfIAtZ1DvjceUIV06ObCedXXYno/rH81+6Jph44V626Jt2PRVX1EUiWl7Y0nEhn0Afd9BeO39uoh66N8UWUQbsCES+/wKg/c+xJwpHLzGUXAvm+CoOOCrGDhHn81wZavFjdU6azutBz7/CJ9tDM4fXQt9U7IUzqFkTEEUQCCga7q47l7yYt+nkNDDPUBR9mxxQYBUj3U69PcN+gMVdLVny/YSoPo2Y7bHOt23o/WBc0qS8Imydt1aa3Bno8HSZrPXHXtUyDHCCI8CXdOJ5NbVpeoDJfk+CuQzYdxOoLef9f2SosDqVotKI7Sl+o3cDpPzg7+TJTHy+4WfezFRJdxLh47t+Vo0VUIQ+ntlGLMRxb4PGJK6csC3eVjcIjGoxwgcYAbr31d/bDFN6XX1D8eo93SyxD4dctDP+kDxkoegI40wwv548lHjy4Nrpq/nDOY2QDgnld6aRQCl97f7zdX962A/M0guNZw3cWu9zvJmk0rdYLMSFoqF+pZAOhHGRvs2V//++uPv/5vq+fP7JkOhl5ux3z9rWh631hosbza5slRFGUi6lyQB6R5M6/376j+H/l4RjeUj5COM8OQiZISvsrTZ5M5Gg1vr9QPHaIoEAhHzZX8tTeZDJpt+HCvetzdkEUHYizmE8Ye9nCK/1xxSRIhkpizu5Zgoknhg/amKFNk1ADFVQun9TpIEZElAFMK5n9TloTwHTZUeuCHCYF6RsM+HMDg2WR4el3ZE1pr9OGwvG2GETxr9AsDxXOw+R47wSeNv/eIFEjGF2+sNfvvVW496OCOMMMJdUMrqQ3q2LIlkM/o9vvF4QtinFh2fyj6ScXwc6KqE6/k9ZjSfXEa9/5c+o/jkvPAjRGh2bGotk4SuMJY9muLU7tpUmya6JlPMHayY1RSZTFJDV2V0TSadUJnMJ8gmNbYqHUr5OItTad65sYvj+lw4VkCWRG6u1UglNM4u5tkqdyikdf76L1yg0TZ59a11VEUk8GWqbRPbdnntgw1eOj9BOqFyZ6PBh7dDSsGWYWOZDjfW6xDAL31tkZnxDB/cKrNbN7iwWOC5cxPReKsNg598uIUkiXz10iTf+dIC//yPbtDoWpyazSGKAmvbLbwgQBKEiCanlI/z5aeneP2DLWzXw7Zdvv/WGrIIjhcwN5HiqZNFJgtxXvtgE0WSOLuQR5FFUnEFPwgLXla326iyiKbKOJ7H6nabWsvi/GKeAIHtSodLxws4nke36zI7kSKb1rEsD8fzcV2PzUqbetvifI9GuY+wK5lDPq0fSGAfhO/7fHinSqdrYzk+ru8zPZakkInRNR3KdSOkbg7CzuOlfDxyTpXycWzHo9V1SCfUIQXc9Xy2Kh2CACYKCRRZjMaUS+mhQ6kH2/HYrnaRRIFSIXFoYi2Eyf7HpzNsVbqoisj8xJNFt/SkoGM4VBoGmipTzMUOdDU5PpNhZauF6/mcnM3SNhz+rS/M8ydvrOC4PgtTaZa3mhTSGjvVDnOlBB3TZSwb4xsvzCGKIl9+aopX31nDdjyeOTVOq2vjOF5EZXx2IcfvvHqLm2t1/CBgbjLDz31xnn/96m3ubDQ4PZ/j1FyWQiZOKR/DMF1ESWBxOkWlbvCvf3CTRttip24gCQIt08b3Ya6YYmYyTTapUW4YtDo2GzttBEmI9sKtSoc3r+4gAidmM+zUTWw7TEzLp3XO9yjGT87m2Ci3kSWRuYnU0DOaKCSijoGZpEoyprCy1Yz2j/0VzOW6Qcd0yCY1cmmdS8fHuLZSw/fh1Fz2yHv0pwnL8dg5wrp9GOh3WpQkgYl8YlQB/gAoZGKYdtgVG8/j+2+tEvgBCAKblQ7zE2lmxpOIkkAyprBR7pBNaaxtt6i3zYju2/MCmm2bsazOdrWL7Xgcm0lza7VBMq4wW0qyut1iPBtD12Q8L+y+6fkBpXwcVZEwbZcPet37JwtJXN8nrsmYtsfqTgsBkEQx7C7XsYnrCv/mz29TaZicP5ZnLBuPnJWO61PKx2kbDroqMVtKsTiVYbvS5eZqg5nxOLIk0+zafOuFOTRN4dRcLqI3ni2lDjyrP/zxEpuVDjPjSSRJRJYFLEfgJx9ssjCVoZSPszCZ4q2mQdf0mCkmQgYNBH56eRPD9njudJF4TCGf1umYDoEPM6VkuE+UUvzgnXUkAS6eKLC81aTS6PLHP1lFVSVeeW4OSRJI6DLNTtjdp5SPE9cVJgoJbq7VyWd1Wm2Lcr3LeFZns9JBU0RqjbBL6AvnimyU2yRjCoXM3feNSsOgbTiU8nFaXRtJFIjr4T6V6+kNQRCwUzOwbJe4LtM1XV46P8H331rDsFy+dHGKYv7w7in9d+37AdmUjuP6B/SETwvVpkmra5NJaPcszh0BrixVyCZU6oGFpsh847k5fufPbuF5YUd91/eoNMLuaz//xVm2el1yHc/9/7P3n0GSpGmeH/ZzHR5aZERqVbqqu1pPz/TM7M7Mitudm91TON4Bxz3AjgcjSBBGkAABkGYEjR9gBI9GwAjQjCBBI+zOFgYCIE4sbmf3Fns7O1p2T4vq0jKzUkeGFq7d+eGN8IzIypJd3VXdHX+znqnICHd/3f19tKLasMmlNdLJJIvlFOu7XWodC0UKCcOI189WqLcdzITK33jjON97f5tG22ZlNkezY9O3PRF8jEQS5FQ+GeuPzxLfeXudO1tNwkBidjrNF1+YYSpn4vshH97ax/VDTi3mB0VvfSqFJMfmc890zRM8W4gO530kSeiDo0H9Tyssx2dtu8X2fo9sSqfdc7Fcn3xap9N32K338N2AgJCe5eN5IZIsOnNERMhSxNpWS0zOA1QZUgmFM0uLfOHsNGeXC/zpz9dx3IA3zk5TzCXZ2u8SBBGVYnISzP+YcNi3E4YRu/U+nh9QKSQ/1uTYCZ5fNNo27b5LNqlj6DIXb9VRFJlTi3l+cXGbjWqHc6slXjtT4WcfbqNrCl9/fZGfXdhmr9nn7EoRXZX5ox/fxtBV/jd/62V+8MEejbbNW+dnWJrO8P33NsmlDf7SV1fYqfVwvYCpvMntrRa/vLJHKZfg668u8t/82VUsx+e3vrRCwlC5u9uhmE2wPJ1hu9bDDyJePVkmndSpt2ymCia/9voC/+jPRSDyX/rNk/z04i7b+z2WpjP8xheWubvbQZYlXjo+Rb1ls9foszqfY66c4u5uB0WWePVUOZ5YuDRbJvBDfvjBJqmExre+ssqd7Q5dy+PEQn4s0emL52b4J9+/Qdfy+MpLc2MJWK4fcmmgN5xZKXL9Tp0Pb9dYnM7wa28sxb8r502qjT479T6VfJJiNhEXWhyWKWN+tGKSRsehZwt/24nFPNv7vXt8FT3Lw/UOuu012g4LlXvtIhAT2i7eFoX8pxbzcUL9BJ89NDo27Z5LOqHR7DlcXa9TrfWplJKkEirX7jZwXI9mxyab0okkKGYNgjDEdgNOLOWZL6dpdh3aXZsraw0ypoLjioKQV0+XSegq27UuL5fK1JoW33l7nU7P5fhijjfOTNPrbxCGAaWcycsnSqzM50joCkEQoGsKxWyC4/M5Nva6pJIa549P4bgBv7i8y95+j2RCY3U+y/JsDtNQaXYcWl0b2w0xDYVSznxo4fhw6uVWtcvNjSblQpJCJsF+0+LWZotMSj8yFgJw5Xad2zstilmDYtbENNTH0gNH/Wu6ptCzhZ/d0GR+fnGX7f0+JxazvHpq+jMxLWeCCR4Vra47NsW23rYpZo+WR0EQslPvE474IR8HTxIrPYzXTlfYqna5eLNGpWCyWEljGCrH5nPYbjDQr/u4foikwH/1J1fRVIlfe2OJuXKaa+t1rq03aHdd4YOcE/4SXU2QTuqEQYgsw4WbVda3OxRzCWRZxrI9FisZ9hp9tqs93ru2RwTMldP4fkgYgq7LZFI6C5U0lWKSO9vtQYf8iO/8Yo2r600MTebMcpFm18H1A9o9B9NQmS6m+OMf32F9r42hyqwuFFAkUBWFxek0hqmST+tM5RIoiszp5aQo+pDgC2crfPtHd6i3bV4+WebF02U2drtIMiyN+GYv36nR7roszWSYnUoDxLFJXVOYnUpRbfRZ2+1QyibGEmef1vub4Nlj6K/Op417ihmeBgqZBIWMwd3dDvmMwXwlc2D/pPSxgolLt2t0ei4rczmOzedEl/0gZLaUin0UlYLJP/7eDQD+2jdOoCoyl2/XKedNpvImmaTOymw2tr2bXYe+7VPMJji1VKDRtkV+gR/geAEpQ+ONc9O8fUlMGz+7WuT4Qn7sHnb3e1y8I+L5QRhhGDKbez0+uF7l/LEp2l2Hzf0uYRiQSih85+11giDETKicXCywW+9TzmlsJzU8P2RhOs3f/u3TAPzGF+b5j65XaXZs3jw3QzKhCR9BEBKFEUuzGUxNQZUVFqbTcYyu1XW4ut5AV2XOHZtCV2WyKZ2lmQy1li0afgQh9baFH4Q4ns+xuTyeH9KzPPIZg2I2wV69j+36FHPmkYVjT4LNaje2I08tFR742yiK4rjXVN58oqL8CQ5wZ7vFrY0Wm/tdihkDQ1dxvJC+7bFTV6gUkuzs9/nwdpVbGy2m8iYvniziuB6Ntk1Cl7AGMfPzxwq8e71G37bRNBlNkfj+uxs0uw5L0xkiRLOHpdk019YbyJIo+I4i0ZBVVeGf/uAm1YZFIWtg22LquJlQ+O4760iSyN1pdm1cT+T4yEjcrbYJQpibSlEumNRaFpbj4wUBc+UMX3lF5nvvbCDJ8MUXpmN/QyFjUGvZKLJELmNQb9mog/waSSLeZ6+eKvPBjRquH3BmuTjG96bypph43nVFnoYs0e17ZJIalSeMsY3ysulCklrTIggnvtcJPl4Mp15N9LNnj3zG4O/+7gv8p//te/z+H1/h1dMVVucmscwJPnsYtSOF7P105ZUlEgkWKwkur4uYwOsnjvbdP+9464UiP7ogpgqqMvzWl1ef8YoeH7/7K8e5cHMfxw0oZg2+/urSww/6jEKKJi2OHhkXLlwA4Pz58498TNfyuHS7Fo+yXZ7NMn2fRLwhLEck5A3fzEIlzVw5PfabrWqXjcGYYDgwCIbO1plSEssRRgeIqm8zofDzi7vxMV9/bYGFgQPvws19LNvnD390i3rLxnJ8un2P+XISXVP5q18/xg/e38ZxPK6sNTENjWqjTxRFosu2IvHWixWu3+2QNDVkSeL3fvsM50+Ucd2A//y/v0BvMPJ9ppTk195YYntfjGferfeZKSXj4pNqw6KYTVDIJpjKm3GC1nfevssvLu3Q6jps10RwOJnQ+LXXF1nfbWM5AftNi2RC45VT5biT2S+vVMUNS/DlF2f4+eW9eNTi8fkcpbwZj0fUNZmFSoZbmwejFZdnM3zv3U1cV3RGX5xO87XXFgHizukgqulfOFa6r8Phpx9uc+Nuk57t0e65vHluBjOhcmIhx+0tMf7xzk6bpKExXUySTmqcWy09cK8AXLxVo2eJZ2smVMp5M14TErywWiJlaoRhxIUb+3GH91xa5/Ry8aHnn2Ac77zzDrquPxYfOAoi8bYW0+zsVOrIZOfDuL3VYrva42eXdkRBhSySCgxdpZAxyKR0fverx8SkDARttzoOazttHC9AVxW2az2iKKKcN7l2t8HmXpeeJTpmlAsmXhDQ7nkokkRExLH5HOePlwHQdYXFcpqfXdxhr9Fjc7+HZftYToCEoAPTUMmmNP7Vv/wSV9fr2G7AzY0mluNjaCrlghkXnEWR4JOKLJFJ6jS7Npoic2q5wPH5PF99Zf6Rn6nnh1y4sY8/GE04yj9AjA6/s90WHyQ4t1KMn9PzisN0m88YD3WCPimCIOSDG/vxqOtiViSlTHAvHsYH/t4/+AW1tk2rI4ITi9OiEO6vfO0YJxYL3NlqE4Qha9sdZqdSdC0Pzw+Ym0qLvblaotay2K31cf2Au7sdlqezVJt9NFVhKm+iqjIvnZji5kZzTNafPzHFH/34Ns2Og+X4WK7Pm+dmWNtuUykksd0Ay/HiJKLTywX+2U/viBHiRFi2z29/aZlhW9BKIYmiSJw/PnVkYPZPfnondg4lTY2/9NVjD0x2+IMf3ORH720BET3L59feWMT2fGpNESBWFIlvvrVCs+uyV+/jeAEbex2WZ7L8yU/XaHUdFFnCD0L+2tePYyZEkGa0yOEPvn+TTs+lb3t4fsT5Y0X+iz+8RBhFyLJEpWDyf/rXv8oHN/ZjfWAqbzJfSXPhhiiIuHRbyFZNlbmz0+bUQoFLd+qim56p43oBv/mlFQxVZmUue2SSSbVhcXtroE9IcHalSLfvcXd3XG+otWy293tiFPVuh6XpLLW2hSLLlPMmqiJz/sTUkUn23/7hrXg8eial85d/9fh9n/3HiXrb5sbdZvz59HLhYwkCPm94Ep3g3at7XLxVAyAIQ5Znsnz/3Q2urDXo9O+djJNMKMyWUuzW+0SIJlbFrMnrZyps13qxTSBJojvj4kyGN8/NsjKTZbfRp2d57Db6uG7AdNGka/tYto/vR2iaxGunK0wXU5w/MfWUnsrj449/cos/f3uTvXofNwhYns4wX07zd//KS/z0whabA5vHcnzRbW9AC186P8OJhY9HJk7wfCOKIj68WcNyfEB0MXzh2MPtpo8DT8s28PyAD27s47oBt7fayDL4QYQsw/pOh1rL5u5uG88XU3vCx/DiTGV1/rd/54ucXhq3/a7fbdBoCxmiqTIvnSx/rMXCn0cMuxqP+nYcL4h1pwfJ+Ak+PXhcPtBo21wf6E1hGHJ7u00QiE2ys99jb9A9L5IiliuZOKm/2bXpWYLv9foeF2/vM2xvqakyS4PmG2EQEHLQsXahkuJLL84BUG30+P57m0SROK7bd4fuShRZ4uWTU5iG8Glt73djXqMqMm+9OIM6SOT72Yfb9Ac8OJc2+J/9tZfEmqOICzf3sR1hvwZhGHe0CqOIMIzidRWyBicXhRzv2z5/+INbuL44Lp3UhG2E6AR6/sRUnOzww/c2Y7teVxV+51eOxdNGvvP2OlvVnnjOHYv1vS7S4F6/8cY833zrmHiWHYdr6434nfhBGK9rVKaEYRQHEAD8MIynHA3ttqMSnxwviO0KgGIuwYlDiWFDfP/djdiHp+sKf+lXjpF4wo6fEzxbPIgXNDo219ebgPDpX1uvs77bJQhEIXYQRfQsD9sNBlOoNTJJnXIhgeWIpgyz5RS/8cYif/STO7x7dQ8/CHHdkJSpUconkCQ4uZAnYWi0ug63t1rs1Hp4QUhCV1mczhCGUWyn/drrC2iaQrvncne3QzKhMV9OszSTiZtMdPouf/aLdd67VqXetlFlmZOLeV45XeHUYp6bmy2qTYtGWzSmyGcMXjxeuu8e7vRdLt+pc3OjyfpOhyAUtPfS8SmaPZeV2SyyJLEwnY55wBAXblT53rubdPsu7Z7LsfkcZ1dKFLLGI/nPgzDiwo0qrhfSGZxjvpwmjEKurze5fKeOH0QkDZVvvLEQ+/4nmOBx8LRsg08ara7D1bUDuXgUDQ5xZa1Oe+iH1BXOH5965CZATxIrfRAO+6JW57OsbXdi+dvqOfzovS12G31kSTTg+fUvLnDpZoM7220kCeam0ixU0ixUMjE/1hSZdy7vcH2jiaqISeavnJpivpJhbavD+m6bmxst3GGcLWUwM5UklzboWh7H53MsVDLx/X14a5+3L+/yvV9u4DgBkRShSCL5WpKEn3G2nGJrr8PWvkiuBuHnTRgqc1MpcmmDV05VqDZEIx+AbEqP+fXadotbW0I/kiX4vW+ejYs0hnj/epULN0TTH0mC3/rSMtmUwYWb+7EuqioS27U+jcE0lpXZLG+cmyahq0/9/X1W8bzzgWHR5BBnVopjjQCfBnqWx8WRvZJP6zQHfAPg5FKeQibBL6/ucWngIx3GBI4qaP4P//7PaHTE8bm0zl/88mocwxraFMO8inrb4b3re2STOpmkzrH5HKoi0+o67Nb7JE3RQGmhnCZlihj8UQWo/5fff5v9pkW9ZRGEAZYjCiz8KEKVpXhKSBCEKHJEzxLFX2EISUNBURXSpkoQwupclrmpNF99ZY6V2Rz/r3/8Pu9dE7SoyBJfeWmWIIRay8YPAt58YYZMUuf8iQMfjev6/MEPbsV2yXw5zTfeONBVhvS537C4cHOffNogZWp86cUZTiwe+E439jqxvSTLEi8eK33kxhK79T5/+vO1+H2/erryQB/d2nab3bqYlPSguNOnHZ8EL1jbbvOD9zb55ZVdLDeglDNwvZDjC3maHYe0KQoRdvb7/PzKDkEYkdRVgkF+QKPt0Om7mAmVTFLDNDRsN6DVdUgmRDHIYjktYvu6wmtnyuzVRRHYxm6bds8TE3FUhTfOVHj7yh6268fFi/m0QTIhijwKWQNZluhbPqW8SaWQ5IVjRTGFZkfIr4Su8LtfWeXHH+7E9/jmCzM4XoBl+4SDAqDZUoogithv9JkupgjCkFrLolIQMnEqb6IoEru1Z7/PJr7Xzzc+SZ3g3/yPv8utzRb//t/9Im+ONFqe4NkgiiL+g//i5/z80g4rs1n+4//Vr6Kpnz1ZN8HD8bzbBk+KYTxzaEdOF5Msz376GoP/7r/9B2Of/+l/9Jef0UqeHIfv4W/82ip/+1svPaPVPBn+rf/bd7m5cWCj/pWvHefv/O6Lz3BFTx+PWm8wiRR/zOj23dhwBej03Pv/OD7GY7S0pt2/95jZqRQLlbTokLWQQ5GlsW45nb43lgjmeAEbu92xcwwDw34QYtnCMRgEIbIs4XoB8mDaRRjBu9cEA7ZsnyCM6NsOQSi+iyLw/Yj1ap8wEkHOKCJ2BLUtNy7gAJFI3Rnck+X4RFFEq2sTRaKTSxBGcULO6PPaqoqgZt/2iQYTNgCub9SxBgFi1wto94UxZDsB2/u9gxuO4MZGO07YHD6DzsjzdT1h6I1iq9qNCzhAOLnidzOyvigS7+5+GI5vdr1g0P3cgUgkeQZBRBBGeF4Y37vYBw/OzgnDKC7gALBsn2ZnZNx1RHx/rhfEieDAkYmCE3xy6FneIZp9OG8Asef6ro/rBbhegB+EcQKv4wUEQcT+YA8HA9oWdAadnkcQhjS7DlEk9nu1bsGAbgH6jk+ne8C3IqA6cKgB7NZ6WK6PM5gME4VCSRv+NkLwlK7lY9sOCU1FHjhxkoaKaSgEQYiqCp7lBeLYetsa3FOIF0Q4bhDzqEeF7fpxAQfcy2/HeOmgeOR5h3OIbtuPIEM+yrW8Ef54lOyZ4OGwbZ/aINA1pMmh3Lm11Y7foe+HQv46PlO5BElDTJU4uZAnbWrx/rUHDk/bC0RRxkBG+H6I7fj3yPqe5cWFiUPnpuX4eL64VjFrkExosf6QSxvx1IwwFLJoa7+LZftxYlYQRPQHesJhjMrEvuXRsx9MV+vbB9cKo4it/Q7tjhvv8yCI2G9a99y/4wY0OnYsL10/pD64z9G9art+fKzjBXQtl639Lq4fxDK1NihWHdUHOj2X/ghfbnZdXC+gP0h2txyPvu3huuK92W5Ap+fExx6FziGe0+m5Y38bFrEN94TtBoN79bEsP9bNxPXuff6+f8D/43u4z3v6uHEPv/0YedWnHXuNA5nquAH1tkOr59zXee+4IdZgb4SDSR1dyx0Ua4sutiCChBGCJsMwwvECtms9glDwINcP6No+zbZDFEVYrrA3Wl035hHPCmtbgi94fhDL557t02xbYzym3rGxvYM9vld/PD1hgs8O/ODAXoR79epPI/q2kHeKIrNQSROEEfmMQcrQsBw/lgNhxGMVcAD0HJ/bm817/t7pHchszw9xjpA1E3w09Cz/Ht/OqIy8n4yf4LONUd3V9UPqrQMfzuZ+l6ExHnoRWyM+rc29g3/X2lYcJAHGeGLX8ulZBzriMEkHYLMqJmsMMapL9uwDOwKEbppKaCQNFU2V4wILxwuojsjnVteha4l78vwwLuAA2Gsc/M7zgrH9P8qDGh07Pj8w5ssLw4j+iO0+6idwfWEjDLHfOPj3br1P4B3c6+3NzsG1R95BEIbU2wfH9SwvTo50/SBOlIKDzoaA0FnuYzMbmsKppQLFXILpUpLVBwSx9kfO6bpBnDQ5wWcLo/ZSu+dS7wi/uh9EWK4/sEUHPvVQ0JLniyINQ5MxdIVUQhNFEw3hf49C8IIQZ+Bn7ts+rcF16m2bdl/s5Sg8sLNH/Uu3ttq4nqDZKCK2JcfotO/S7Dh4vhhp7wcBHcul23epDnyPQ/+85fjxOu77HAZxktbAhkkag2QxL2S+nEYeNJM4ysberQu/YRQJXbDdc4WN8wj+cwDH9eMJOaO+Fc8L2Kkd8Ma+47M34gedYILPA3Jpg+MLOYrZBAvTaWYHhQFHYZQ+HTcYk98Pw5PESh+Ew8fbTsCZ5QP5m0lqsW4TRoK+b6616VnCHxKG0Ok5MU/ygzD+faPrxjqN64Vs7vVwHBF76Fme8CuGIRHQsVws26dne/HU4+H6wjCi1XGpt2wxrYNI+P484YfxvBDbC2i0Lbq2OH8YCZ+p4wUEYYTtiZjszc1mrKNYjj/Gr9f3DvScMIK7h2LBcBCfBOGT3GtYcaLtEOJvB3pXz/Li+OPTfn8TPBscjkPeT5/9yNcY2Ss7jXG5Otw7o/J2qKscRrdrxwUcIAriO917bYohXbcGcfehzrMxyCsYyv1WR3w/jJneL0YYhiGaKovbiCL8MMSPIqIowvVEEa4z0KF61qDge0BL1sB+GJ572IBrmFA+Sp9BGFFv2+QzBooiUcgkCENxDXc0Lth3x+2SQ3kMQ/oc2kbD+9+pH372B/cbhtFDYzmPgr16b+x9P0yPGrWHg0P+vQkeD3sNMWliuOdsJxj4RyOSCY20qdHouNQ6A/9BdBAzHMpwfxBvEPEul97QtvdCbMeja4nGD7YbsF3rx3GE4eDJKBLFF1u1XixTopBYnlleMGi2JuKT/UFekBeICXk79QPb33YDrm80x+5xexCrBLFfOj2XKIrwR/wLrheKgpIBOj13TEY9KL75cWPie53gk8LQX1WeTOJ4LiBJEv/G33iZXFrnznab//KPrzzrJU0wwVPFMJ45xKcxr+z3v33hnr/95NraM1jJ08X33t1+1kt4bFQblmgYPvjv0p3aM17Rs8OkiONjRjqpDxvjATxSR4t0UmN00lD2iE7xkiQxV05zYjFPKWeK6RcjyV/ZlE4medA9wtDE2M1RDLukqIqMOehaV8gmSJuacBjIMroqI0vwxukKiiJhJlQUWSKZMFBkCVkSXVtUVWKpnESWRPcGSSLu4J41dVIja6kUk2QG95RMqEiSRC4tOoZlU7q4zqDzQzZ9cO9z5czIMcTdAU8uFDENUbmqa0rcUSxhiPG/Bw8NTixkxzqET4+sRRwvU8qNK7dz5TS6flAZWx7ptj36PiVJvLv7YXicrikoikw2ZYAE5YLoCDAc5T6890xSf+jIKVmWxrqEmAl1rFOJJBHfn64pY2Man3Z3lQkeD6lDNJt5xIkQ2ZROUlfRNQVdU1AVmUJG7HlDU1AUianBHlYUmWRCxTQEzWRSGoosk08bSJLY7+WiCQO6BUgaKpm0HvMgCZguHtDRdCmFqasYmkImqSHJxJXjQ6GqKmIkaiJhiISFuRzZlE46qZNMaCzPZlmezmImVDRFHFvMmui66GylKRKGrlB5TEPTNNQx+h7lH3CIl0o891M4QLzTT4puDU0Z6wJ8lOyZ4OFIJFRKWcGHhzQ53JcnBrQAoKoymioP6FNidT7LicU8hcGxmcHvEoaKqsgkBvJhKK9VVSZhqOOyXldIDWT48PrmgAeMXmtlLhvrD0A8lUuWhSyam0pjJlSSA3mkKFLc3fYwRkezJk2N1EPGXy/NHlxLliTmpjJkM3q8zxVFEmPQR+5fGfCEQiZxIC9VmeLgPkf3akJX42MNTSFt6sxNpdFVJZappVziHn6RSeljulQ+raNrCsmEiqpKmIZGMqGh67J4H7pCJmWMvavDyBziOZmUPvY30W1Pi/dEQh/eq4ppqvEzVwfv7jBU9YD/x/dwn/f0cePwM5joGPfH6NQWQ1coZg1miikUReYotc/QxftXFAl58Ju0qWMaKrm0QX6g98qykMFTeRNZljA0McFDkQUP0lWFdEIlnzWQJAlTF/ZGLq0LefwMu8Avzwm+oKmKkM+mRiqhUsqaYzymlDVJaAd7fOYBiSUTfLahDuzSIdJJ7ZG7vz6vSCbUuAt8wlA5f2KKSiFJJi3oPaELOtUUCeUxyTVlqKzO5+/5eyZ1ILN1TcaYdH5/6rjHt5PSx2Tk/WT8BJ9tjOquuipTzB34cOan0gydiLImMTfi05qvHPy7lBV+pCFG91HaVEknD3TEufLIOcqpMZlfzB78LpU4sCNATI7JZ4x4Su6ws76hKWNB4VzaIG2Ke9JUmYRxYL9WCge/0zSF3IiNPsqDCpkE+khHulFfnixLJEf8XqN+Al0VNsIQU4WDf0+XkijawTNanT+YfDpKh4osU8weHJcytbi4VlcVjDF/4IiP4iE+hWxK58RCnuWZLMoDGPfUyDl1XYntwQk+Wxi1l7IpnWJG+NVVRcLU1YEtOvCpy8T2+8J0inRSFzq/JCZKV4rC/y7JoCkyxqATdDKhkhtcp5hNkE2KvSzJws4u580x/9Kxueygy7uCJBHbkqP0kUnq5DMG2mAKt6ooZEzh3ysP/AlD/3wyocbruO9zGMRJhr77ZEKlmDV489w0iRFaO8rGni6a6JoSxyGyKeFHELL24XqgoavomqDFpHFgb2uawkwphaoc+EUrk87yE3wOUcqZnFjMMzeVfiBNjdKnoStj8vthOBwrvZ8/7VFx2PeUSQr+NJS/+Uwi1m1kSdD3qeUCKVPo6LIMmZQR8yRVkePfF9J6rNPomsx8JUXC0FAVmZSpCb+iLCMBGVP4VVIJYZcO15VJ6ciyRC6jU8on0FQZWZJE7EMb2Hea8DEWsibphIqmiN/IkvDrKLJEQhMx2ePz+Vj/E5PQD+5/qXKg58gSLE7fO0llNK4pSUJPG/qbhhB/O9C7UqYWxx+fJNY9wfOHw/7qjyNGljm0V2YOTbAe0v6ovB3GBA4jnU5QyByssZgzyWbutSmGdF0Y6ExDnWdpMCF9aC/lMuJ7c5BnkLlPTL9STImY5oDeNUVBlSQkSULXZOF7HehQKVNca6hLmAOdZjixb2gDDf2Yo/SpyBLnVktUCkkWyiImM4zlj04NyCb1cbvkUB7DkD6HttHw/meKh5/9wf3KsvTQWM6joFJMjb3v6dKD9ahRe/hBcacJHo6ZUkrklQz2hmmoFLMJVufyFDIGmZROIaNTygz8BwPaSCbUWIarg3iDiHfppIa2vSaTMDQypo6E+H62lIxjjSlDnCdlqmiqwvG5XCxTJFnIVFmSMDWFZEKL7ZtUQh3IQoVKMcnMSP5BQlc4uZAf20+zg1gliP2SSYncGVVTYjmkazLZkb2dSeljOsaz3GcT3+sEnwRs14+LNMuFiS37vKCQSfBv/I9eAeAfffcGb1/efbYLmmCCp4hkYtyO/DTmlf3tb907EeGtU8vPYCVPF9/6lZVnvYTHxkJF+KGG/712qvKsl/TMMNEUP2akTY0zy0WaHVuMN889PCnZNFTOrhSpt20ShjqW7HU/GJrCudUi+00LQ1epFEzqLZv3rlXxg5Avn59leTbHXsNiu9pjdS7LfDnNP/3BTX5yYRtDV/iLb63yl756nJ9f3KZpuVy/U6dv+7x8qsAbL8xSKiS5eKvGqaUiG9UeS9NJMXYYibdenmV1rsDidJ6+7Q+cERJ3ttssTWf4W795mp9d3EFTZb5yfhZVU9jZ7yFJcP5EiXzaoJhN0Og4lPMmsiTRs1wMTebKnTqL0xl+7Y1FUobKXrNP1/Lo9j00VRpU6UtoqsTqXJYzqyWShspMKYmmCiO01rKZL6dZmM5Qazv84uIO6ZTGi8cKmAmD3XqPIIioFJOxc7TTF9129ps22aTGjVqfZELl/PGp+LnPlFIosozleBSyCZIPcHi8eW6alKnR67u4gw7sjhuwvS/OmzQ05itpwlB0YD3sXDmM21stLt2qEUQRhq6S0BROLuZJJXV+eWWP/ZbFicU8KVNjr9Gn2rDwgpBOz8HQVebKB46iMIy4u9uha3nk0joLI07fCT4eJHSVct7k+t0GlhNgaLJIni6nx95HNqWzOH3wPpZnspiGSiFnxB07pwsmey0bxw0wdJn3rldjZ83cVJpay6ZcMJmdSlNt9MmndXbqfbJpg//l33yVf/LnN7i51cIPQkpZk/mpJD+7vEun5zBTSvOl8zNcvytGhB9fyNPsOXzl5VlubbaYn0oTRSE3NtsEYYAiKcxX0vzmWyvMl9Lomsz716ucXi6QNlTMpEYpm6DT93jz3DT7TZukobI0k+bSnQatrokiR1QKJieX8nz7R7dY226TSWpYjugKomsKb5ybZrGSGeOpqiJzbqVItWmhqfI9vLNSTKIoEj3LI59JsLPf5epaAzOh8uqpMnsNK+62VcgmWJ4VAe1W12Gz2qXWskibOoVsgqXpzCeSLCjLEmdXi+zW+yiyxPTHmLCqKDJnV4tUGxaKIo05zyZ4NPyzn9zm7m6XpZk0izNpwjBgc89ip95jcTpNOqWJLvmR6DD0wrESubQx9rxrLYudWh+I8HwxnWZ5NoPl+MxMpZgrpUASCRiqIpM2Nf705+v4Qcivv7GILEu89dIs3//lBilT5fzxMromc3whh+0EBH7IL67s8IN3N1mdy/Ibby7zN3/jNNmUxn7DJp8R483NhMJrp8qoqkopl7hn1PDWfpdG22GulBIddsKIt16cGSuMOAq/85Vj9CyXnWqflbkMhWxCFKOlDXqWz4vHS+QzCXJpg4Su4PkhZ1eK9G2Pf/mbZ/nTn69heQHnlosEkYSmypQOBXh+881lLt3eR5ZlposmQRDxP/2rL/DHP7qDoil868vHuLrWEIkzihzzC1mWqBSS3NhocnqpgKHL+CF8/dV5Gl2Xuakk//ztu+w3+5xcynF7s0UhrZE0VfYbFtJgZHomqbE4naFcMJFl0QlMkiTu7nYGRTIpwiiiONAbTEMEZxzX5/Sy0KOOzecA0Zl1+K5HsbHXodV1ObGUF9NYoohzq0I/6fRd7u52kCWJpZnMA3WTp4ViNsHJxTydvkt2JAA+wb04s5TnRxc2aTQdXjpdZnk2K3RCL6Ta6LFZ7eJ5ESGi2j6hybQ6DpWCieOFKBLMlkzWdlqkEirzlTSu59PtOeRzSX711XmiSOLmZhNdlWn3HIrZRJxwOV9J0+m6BFFIKqFRyptjxZofJ3ZqPWotm4SusDJ7kND4zbeOYWgqa9stAh/mp9N88YUZdF3hV16e5+LtGo4XcHqpQLPjsFPrUSmKItEJPp+QJIkzy0V26z0kSYqbE3yaoakKZwf2vJBLJhdv1Wm0bVZnc3Ggs9G16VuemBDVD/Ae0nh6tmjyG28uU21YRGGdpRlhV/z80g6dvks+nWB5JkMmqXNtrQHA4kwmTjaY4KPhKN9OGEaYhornh0fK+Ak++8ildTp9l81ql/lymm+8tsCPL2yjKDJ/4YtL/JPv32Rjp8PZYyVeO13mz36xgaHJ/LWvneCPf3KHatPiSy/NMD+d4ju/2MDQZf7Xf+slPrjWpNayeev8DDu1Hj94f5tsSuN3v7LCn769Qc/yefPcNL/zlWP8/OIOUwWTb761zO//0WX6js+3vrLKzY0Wl+/UKOeT/AtfP8GPL+3g+yFvvThDytRpdR3SSZ1KMcE//LMbRMBvfGGRtZ023b7wX8yXU1y4UUNVZF45WcbxxbTAXNogYajs1fsoijSmfyQTKr/5xSWubzQxdYUzy0XqHQfH9ZnKm7S6DtWGhaEpvH5mmlxax3IDTi7k+cXlHa6tNchnDL54bprbmy0cP+TX31hmY6fDh7dqzFfSvHF2hj/56R2CMOKVk1OkTI3deo9yPsnp5UI8LW20SFSWJebLaT68uS/u51QZ2xWdRPOZxFPhlV8+P0chU8NyA04t5uNimQk+G7i72+HCzf14imO97TBbSvHFczNk0w22qz2SpoIsybS7LvstMVWvkBXF2rt1GykSBV9Ow+ePf7JGLm1wciHPbtNifirJfCVDu+dyYiFPMZsgimC+kmav0ecH725wt9olqSu8dmYaVZa4u9djppSiZ3v8+TsbIEtU8gk29mxqLZupXIIoipAkCcvxmZ1K4Xkhe/UejhdQzCfIpXUu3alTbfQp5hIcm6/guAFrOx2qDYtXT5ePLLjOJHVOLxWYKSZZnesiIbEyl2O6mCSb0h8YCzl/ooymKNzZaVPMijiCmdAeWQ9UZImzq6UBDxKNHvq2Ryal89KJCj+/uM32fp8Ti1lePTX90V78BBN8hnFyIS+mXYUR08XkY/nHR2OlpqFiOT4Xb9ViP9qjFGSNojDwRd3YbLK23abRsXnj7HQcL/D9gGPzGSJC8ukEr5yqkDLFdSUiilmTc8eKHJvN8s9+uka9ZbM0k+FL5+f45pdXebna49ZmA9sLuLXR5uLNOuW8yfG5DHOlFM2eTTKhMVtMEoYSiiph2T7tvst+0+KV0yLx4MxyEc8P8b2QjWqXUjbBdDHFfquP7wcgSSQNjZdPVZgqdFjf6yJFEYuVDMWsyVQhwbnVEqtzecGraj0qeZOUKXTKldksb74ww3feWeO9K1VKeTOenjGKl0+WSWgqza64z6m84J/ThSTXN5r0bY/ZqRSyBAldJoiE3dK3fRK6Kpr/pQ029roUMsY9/tjnHZvVLs2OQ8rUPrHYzvOIqbyJJBHr5x9HMU7K1Di7UqTRFjRSyiW4eKvGXqNPpZCMG9KcWsrz4wubNFo2r56ukExoXFtv0GjbbA3yBwoZg1fPzvDj9zZRFYm/+esnyKQTXLpVw3F9NEXi2nqDldksZ1dL1FsWM6UUfVvE7E8tFWi0bRpdh47l0ek5SEixvnXYb247Pms7bZYqKW7ebaIpMqVcmrmKQrNr47keqqoQSTLFtI4fhKiKTK1l4foRlu2RNHWShsqbL82Q1EU8dLqUZGE6w+2tFl99eQFFlrCdgK+8PMfLJyvsNfpMF5OEUYSqyFSKSSzH5+5OB0mCxekMZ1cKfP/dTXRN4aWTU2PrTpsau7U+19YbpEyNcytF5qczgxjDARYqGXRVwXZ9SjmTxFNoKjFdTPKN1xfZ2O1QyiU4sVh44O+XZjIYg7hPKZeImwR+njGMCWqqzMps9p5Y3BDD/RmEEfPlNIvTGX7llXnKeZNLd/YpZBL8xptLBCEoMkRRxEIly0snJBZnMly6U6PdcUklJBw/opQzyKU1HDcUsSpdYX2vSxiGhGFIOW+wVe/RaFlIEmxVO7z18izLs2kWKml2aj0kYG4qzVsvzfHF8zP8yU/W6Fs+x5ey2HYoCs3Tush56PuUC6LB2up8njPLBV4+UeYH72+w27CYKSa5s9thrpRCkmBhOo2hKUJuS7BQTvPyySn2mzaKLPHyiSlqLRtFkXjpZJl6y45jfdKgYMX1Aqby5n2f6ceNY/N5ds2DHKT7TWOfYIKPguEkK9NQSE0K454rfOnFWb71lVW+/aPb/Mf/1Tv8J//WN8YbxEwwwacUmqpg2z4/v7xLylT5G79+8lkv6YkwX9bZrIoiuJOLn8448xsnUrx942Cy2V/92ulnuJonw3/wP/8q//5/9kO2a31ePjnFv/RbZ5/1kp4ZpOhR5k1PAMCFC2Kczvnz91ZkPY/4g+/djKtuFUXirRdm2GvaI78I+fvfvsxwB1QKJn/zN0/T7Xv86c/W2Njviu4xksS/+BdO89rpCp4f8N61KlEEP/5gkygSQU0vCPnK+TkUVWahnGJj74BJzFfSzJfHO7/c3BDB5fg35bRIWvMD7my3yaZ0un0PQ1dYqGRQVZnXBk7PvUafO1vCKfvetSoZU6Nre0zlTV48NkUyofLi8XEHxhC1lsUf/+ROPNpzppTiN95cOvK3ra7D1bUGfdvn55e2SSaEk7KUM/nml1ce/UUcwma1y+Zel27fZWu/x0wpSTZlMDuVGkvWfxC6fZc/+P5NokgkxCUTGm+cnUZVZFwv4MbIuMnXz1bo9DyCMOTWZpu0qTE7lcIcdHgF2Kp22dg7GOF6fCH3SAVHn0e888476Lr+kflA1/K4dKtGtWnRaNtkUjqzpRQnFvPYrs/GyEjd1bncQxX6IIx479oera7LVrUbO3saHSfuKllv2xSzCW5vtvCCkPlyGtcPyKUN1nc7tDoOO/UerY4jRv1KkB50kBKOvYCUqXF8PkfCUFmZFV1srqzVkUeCLL/1peW40v+XV/fwfTFXVVVkXj1d5oMb+/HoX0WReOVUhcu3a7S6Dre32mIqwVyWa+sN9up9am2bdt8hCkVnYl1VOLmY4+VTFV48VnqiBOVG2+bbP74d84IgjDixkOf2dgtp8MyL2QTHF/K8f71Ks2OzU+tj6ArLM1kWKumxQqgJPl84ig+8fXmHP/vF3fjzq6crGLrCTy9sE0URzY7DmZUilUKSTs9ldeBAP7GYj2nUdnw+uLkPkSiSCMOIqZzJ+l6H5ekMhi4KKo4v5OPr/Gf/8P14bLCqSPxrf+0lrq0376G7YSD02z++zYc39uPjf/utZV4+KeTrYbq4n4xstG2u320CcGe7RcrURQGmLPHqqfIDO82u77TZqfXx/ZDb2y1mp1J0+2Kc8lAGnlstHtkF7OKtGj3Lo9N32a71ODaXQ1Xkh8pPPwh571qVMIzYa/SxbJ/lAf86tVSIu+z1bY8Pbx6M5ytmE/FUMYD/8O//jEbHxXZ9un2Pt16codVzmS2nKOeS7Lcsjs3n4uKJYdKK54e8f706GGXNA/WUR0GtZXFzoxV/HtWzhrJgOMLS0BRePlV+4mtN8GA8iU7wj757nevrTUDsjXPHShiaQqNt86MPtrBsj2bXIQiJu7frqkxCFx2y8hmDVtdFVSRURSaMQhKaRkiErspkkjqFjEG75+H5AQldQVZkZksplqYzZFI6r57+5DsYtHsuV+7U48/lgjkpwpjgM4GnZRscxk6tx/pOh7WdNnv1Pn4YUmtZdPs+nh8gSzJb1Q62F44dJ0sQRpAadMLJJnW+dH4WRZbjrvrNrhPbGpIk8Y3X59mpWwe6gyrz6qnyYydRTTDB5xWPywcu3Nzn/WtVQCRVpEydhYrQ5dZ22rGt7AchXUsUW8GBPQ/Q6Tpc22igqSI4m0wo/MUvHwNgv9nn3WvVuECo0bbj6Q5+EPL66QrFgb+n3XfIDqZ23NlqcmOzHScVFLNGbCcc1vP/2z+7hjtYp+MGvHC8iCzJhGFEz/HIDLp3GrrCyyc/mi7aszwu3hrR0XMJTgzsoSu3a/zBD27F3wVByNKM0PNdP+DkQiHuWPvhrRr6oODc8QLOrBTRBvczqruPIghC3r12oMcnDIWXTkx06wmOxmFeYLs+//i7N+hZHlvVHu2+SzlvkkqI6bblYoqra3UcL8DQFLp9Dz8I0DWFxqCIKaGrWG5A0lDwg0hMixz8+9xqSfjrNJmVWaFXy7LEK6fKMf2/e22Py7frhKFoJJFOahyfz3N3t8NPP9xCkmQc18d2fVbnckiSxOxUit/60gopU+PSgPZ26j12az1MQ8P3QyzXF13oBxOAXz1d4e3LuzH/0lWFv/7rJ5DlSaHiBJ8vfFy2wWcRu/U+a9vt+PP9ZPHD4Lo+//C7N2I/WNLU+GtfP8FOrcc///k6IPwRhi5z/niZP/npHcIoom/7yJLEb39xiYt36qzvdAgj4Yd56/wsf+VrJwDh7/3uOxvc2moRRWCoMicXC3zhhRlURaaUM9iti8S5nXqPvXo/Lsg8tVzgzXMzwt94qxb7W4cIwpB3Lu+hKBJ92xPn12T6TgBEaKrQo2ZKKV44VmJrv8vGbpcoiri12WIqb5JLi2lJr56u8M9/vjZoDARI8K0vrz50wpfl+Fy4uU+767BT6+P5IZoq4/kBmqowN5Uik9I5f2IKy/ZjfzDwWPHMZ40H+VKfNiZ84F4M/RtDLM9mmS4m+Uffuc71kVj2q6cr5NMGP7+0Q8/2kJCAiCgUOs50KYmmypxYyON6Abe32nG8LpvWObNcvO8afnl1j0u3RAyya3mcXi4wN5Ueiw0AfHhzn77t84c/vIXtBnQtFwmRTE4k0eo6RJFgFroqk07qBEFIs+vieQGNrkNCl8mmErx0corf++2DBKS1nTa7QxqFe649iiiKePeqaNIJDOL7rTifo5Ax+NZXj8W/f//6Hv/sJ2vx5xdPTPGtL68+8L1M8PHiUXnBaEwQRNOH0/fZyxdu7mPZPnCg9yuyxLvXqmM+vXLeZHv/IE9nmPPxj75znStrDZo9h1bHFs0RnIH+rslUGzZRFOGHEUQRESJ+4Q18j4oiUSmYnFkucnq5QL3toChiUtTKXPbIQuyhnNmqdun2PVKmaGg6GttvdGyurze5s93G9QIK2QTTxSRz5dRYrsST6goTTPCs8EnpBO9e3eP/8J//hMXpDP+Pf/fXPtZrTfD48PyAf/f//gNubLQ4s1zgP/xffHXS1OlzhM+qbbC93+X3//gg13i+nOb3vvnpSrzvdrv8j/+PfxbfgyTBH/xf//KzXdQT4Hf/7T8Y+/zlFyv87/7OW89oNU+Gu7udMd315GL+Mzet/FHrDSbS4TOMvnPQbSUIIjqHuq/sN2xGS3j6jh8HW/qOJwzGwQ/2Bx3pPD8kiiCMQhw/JAgj8V8gukUTieT0UbhecM/anEN/G3aG8YOIKBLXCcIIb2B0+n4YB02Ha7QcYah6gVjT8O/uoUSWsWdi+2POUsu5tyPN4TU6vi/ueeAItuz7H/MoGK5zeG/ewAlz+Jk8CJYj1hRF4vm7nngWfhDGhTtDtLricxBEwvg+4nqHrz1c4wQfH4Z04fmDBI3BfnC94J497PoPfx9BEAo6HNlXYRSNvUvb9QnDEC88+I3jBoShOM73xTlcP4AIfD8iDMX+8IKQiAg/CAijCHtAfwC9QzQx5AFBeLAeEPszDKMxnhAEEUEQ4nqh4CEc7OtO34vpO/AjwiCMz2c5Yo2ef396fxC6ljfGC7qWix+Ic0aReJ6OG8RrHuVF8Hj0OsHnA8MpLkN0ey7trvibkJvQs3284IAGYZzfun4Y70vfFzThBeJv3oA+DvOH/gj9+UEkEj+OoLshOr1xGTG67sN0cZi24zWP7H/PD2M+FoYDB+8DMFy/P6BtzxdyaZSW70dfw7/7g+cUPKL8HNUhxHoPruU+SBYe+ty3BN8LB/zVcnyCKMJ1BY8Mwyi+zuh5D7+Dj8o/Dsvo0WuFYRgHrgGcR5AfE3yy6I7oaWEU0be8mIY8L4hlYQyhXuOHEUE44Au+P6CBCN8XsjkIQsIIbDfA8QLCSOz1CHDcA53Z88f34yeFw/bARI5OMMGDMSrz/CASurIXEoSChoW+fK8ePLTv/VDwBNcPxmSv64djfCiKIrq2P647+OLYCSaY4ONBf8RnFkbQsw5osmd5DHvt+H6IPaL3dfoHx1muN6YzdEe+69n+mKwf1emDIKJnH9jyQ/0WoGsfXBugPXLOUT3f98O4gAOEn2Gof4ZhhO2M2DdPQd7fo0OMXHvo74rvYeRZum6A443e68F3jhuIztdHnHMU/oh+L9byZP6HCT6fsB1/4PMSMjv2/4URrh/GtO/7IVEUCVqKhAz3/IAgFPZCGIY4XkAw2I/CfyZsUhjnDaP+q+EawhHaHSZgWY4f7+eh/32oVzhegOP64zbtCD8KooP1gLAxLNs/5NsIhH9jggkmmOA+GPophnhSncH2x/1gw9jdqE4QhCGuK3iS7QSDOJngfz03oNNzY/snisb1i57l4bjBwM4SflrLPYjF9Z1RnSgYW8sw5ul64Zi/dRi3DYJowO+jmBc7fij8O+EBfx4+myHfDgexk2Gcb+jnGdXxiDhyGsdhuN4gxjI4lz24tyHP92L/bfhQv+nzjEn889niMH0PP3esQ3GKrmj86LjD2F8w8If4hFFENLA1XP8glhjHux/yTvsjMUsgjm/eu7YDfSiMIsKBLuf7EZbjEQ4S3KNI5FQMfwsHOQuDJdHquIfOfX+f/mGEIzQO0Ot78doBes44D20esosOx4AmeH4xGhOEB9uc43GgKPbfHfbp2e7R/LpjuYSRuF4YRdiukDdDOz6KIsJIfB7aHmEYjdUgOq6P64cxDQVBRBhF993PsZwZjbFH4/d5OG9mGM+z7PF9/mmSOxNM8EliryEKisufsilpnxdoqsK/9y9/gVRC5cpag3/w7UvPekkTTPCR0eg4Y7nGh3OEPw1Y2+mO3YNooN69/wGfEtzcbD/8R88ZPs2+hqeNSRHHpxSHk6+O+nx8ZExmpWgyX04hyxJBKMZ7fun8LPmMEQdpXz5eojLo9n9iPoemyMiyRCqhxp3mDE0hk9SRJZmZYopkQiVpiM7giiK6S89XMqiKTBRFyLLE1CGFMYoioURKwkhMGAoL02k0VSahK5iGSj6TIJPS4y4UU4MO38DgWhKFjIFpqKSTGoauDEaNhlSK91dQp0uic8ww0DXaYfswChkDXZPJJnUySR3TFB10jo8c8yRJcOWCuJd0UkcfPE9JejzFupBJUByMt08mNKZLKaIoophLcGalGHduNnSFs8sFEoaCpsqkTDG2EsTkleG7H32+qiLH3R0n+PiQTekYukIubSBJkEsbKDJkkvrY+1AU6b7vQzgyhDND10R37lRCRZElcikdVZFZmT3ohrQ6m0NRZHJpA1mCpH5Ae7mUTjolundXCinRuTelo+sy8+UUhYyBpsgUMgl0TebkUmGQMBry4rEpGOy5dFJjfkp0wlBkiVz2oJt+MZtAGYwCHo5jzaYFHRRzCRK6QkJXSCZUdFXmxeMlMkkNTZHIp3USCZVsUkeRJRan05gJlXRSfyI6nC6lSCe1mAZePDaFMehybhoquqZQKSZJ6ArZlOABiiyRyxhH8rUJJnjxeAlDVQjDcDC+d2rQAVNCliWSCZWVmTSZpEZhMDJcVWWyKZ1wkCxhaGL/g+AJubSBaSikTQ3TUEDiHhl3ZrUkuuJEEbNTScr5xNjkHiEzD9S9V05MIUtAFGHoCudWS/F3Qxk5xMnFfExfo3SWH3R5C4KQfEaMXY+iiHzGwDhiLPHw2CiKmMonxChjXSGd1EgagsbyWYNwsKZc+t4OVGEYMV0UnXzSA7msa8o98vMofiDOqcfPNZ8V59dUeazbVTapY46MEK8UkrEDPAwjzh0vEkWiI10mqZHL6KRNjZlSimxSi/nuYR6hqzLZtNA9oig6siPR46CYTcRdOg5fS1MVCtmDe5r+iNea4Onj5ZNlJEnQQz6lc3w+T3agCy5UUqRMJdbjJEBVJSQi0qagDVNXKOeTQkdPqkwVTJKmRsbU0RSZxUqacsFE12QKWSGz5stC1icTaqyHftLIpUf4g/TR9uazKEKZ4Nng8/yup3ImkgT5jEE6qVLMGBTzJilDJaGrqKpEMZfg8LAMWRK8Q1MUNBkWpzNCB5clkgmNct7kxGIhnqKXSWrMFJJjsqSUS8Sd+D+NCIJnU6w2wQRHwT8iifn4Qg5FkQjDEF2TObtaJBroiS8cK6KqYqJFOqlxbC4nEieiiFdOTsU6xNxUipmBHwjglVNlkMD3A5ZnMpSyBzQ9OpWtXEywOJMRxdCS0PeHOLcyRdoUNrIswasjxw31fN8PUQdTP4c4uZjH0FWCIMQwFBanD7oaH6X3DgvRHgVhGJFN6SQMRSSYS8Q2AcDZ1ZKwn6IISSKe4AuwMJ2hkDFw3QBJgrMrB3bPymw2nvz3IPveGPhZDu5n4geY4NH1k2xKp1I0Y1+3sFsjskkxiXe+nMY0lNjPtDqfwzQUTF1lKm+SSaqoqkzS0JibEr4EXRM+26HfUJLg/LHSYF0h6aRKQj+wyefKaRIJ4afIpzXKA39CKZtgriJ8d2lTY7pooqkqsiS652VMjbQp/O3hwNYfTqNNJjSWZjKkBr6LfFpMlx7lC/OVdNyJfoKjMdFVJvi8YzT+8VF87dmkPiafh9OLFyoZkgO9JpnQmCsLvWllPitiZZpEIaNTSOu8dqqMocuA8EueP1ESzdD8kBOLBSoFE1WRUGSZQsZgeTD1q5hLMDvoCD7UzzIpjTAUhQ/HBtNHM0kNTZPjmOTx+TySLPyS5UKSpKGQTGiUcqLzuPADq3FMYqj7DJ+ZIsvkMgaZgS4z9POcXMzHOlYmpVM51K38sF4q9E1dxFgSGoosMTeIIc9NifhQKqGRMjVSCY1CNoE6mGp2v3jmUbrv84DDvtSHTb2f4OliuHeHOQOlnIh3vnTiwEeaSmq8MdDlZ6bExI1sSqeYNZidSpLQVRRFZmU2TSGtx7HEbEro6qM2wiiGxedDG8w0FDRFplJI3hMbgIPYy0I5jaHJJAcx9WxKZ3E6TT5tkNBk1MH0AdNQmcqZ6KrE8kwaTZExNBlZgpdPjE9TKGSED2c48ebwtYd2UhhGKIocPyeA1fks5fzBPZ4YmdQO8MKxUjyBUJZEDOhxMNFLnh3SphbHBIEH8qdR+zqb1tEGcYPiyF6ZyptMF5Oxv3CY8+EPJoJrqowiC/lZziVImiopU6NSSJI0VXQFDE2KeX9SV1Aksa9kSUzSWZrJMJVPIkkSKVNFU2VKOfPIfTSUM8OYXzYtYnCZpBb/vphNxDQh+IFKKqkyO5Ua0xXKefO5lTOPiqHv5+PChJY/n9iti+7l06VJPPh5xUwpxb/5L74GwD/53k1+cmH7Ga9oggk+Glbn8+TSB7nG54+XHnLE84cXTsxgJlTR2x5IJ1VmSh/PtMaPE4eT/v/133vpmazjo6CcF/HwMIpQVfkzN4XjcTDxpn/K0Om7XF9v4gch06UkC5UM19cbtHsuZkLlzHKB/abN3b0OsizzxtkKthtwfb3BH3z/JrW2Qy5lMFNK8eKJKf72N8/xg/fu4vsRbhDxJz9dI5PUmK9k0HWFvhVQbfT4+9++iCJLvPniDJmkPhhZmOTynXo8CnW71uP8sSnOrpbQNZlmxyZ3KKGz0bG5udHCcjzafRdTF87JZELjxeNTdPsuLx6fwh2M6x122R5N6FRlic1ql91an9mpFOdPTLGz3+PGZpN2z2X2AYxVV0WA/OqdBqmkyuJ09r6/1VSFF45N0bVcXjw2Ra1tYRoa08XkwXsIQ2aKSZZm7n+ew8gkdV48VsJyfF49PYXjhpiGSsJ4dHJUVZlixuD2ZguJCENTsBxfBAgLSb71lVUaHYfpQaHNC0mddt/lxeMlPD+i03fZrffZqfdZmhbjJ188XsKyfdJJDU29Nwl3gqcLVZF54ViJTt/llZNl1nfbXLi5z+W1BuePT8XvI2Vq6EckRb97dY8Pb+3TbDscm8+xNJsln9Zx/CAeoiNJIsF72BEjlzawHB9VqfHLep9fXNlltpRCkmSyKY3Ty3mWZ5ZptC1++P4GzY7HdCnJ2WNFdqrCAFyeybI8l+Pm3QbvXN1DlWW+/voCZ1cKdC2PuVIKXVfZ3u/yD79znZ7tM100OX+8RL1t8961PXRV5spag3rbplIw+bNf3MU0FErZBL/y6gKaIqHr6iA5OskP373LnZ2uCF6b4u/7LZupnM2Nuw1aXZeEoXB6uXhkAvlRqLcsKsUUmipzeqnAicUC3b7LqaUCURRhDK4PYqzxTCnFuWNFJCTMhDoJRk9wD4q5JMtzGW5ttJiZEqN+kwmdf+V3XmBzr0PP8rh8p44iy3zhhWnmSmmubzT5x9+7Meg6E6GrCrNTKV45NUUYws3NJn3b5+xqkUoxOSjy0Mau++UXZwkGXdm+9OIMiqKwOpeLi78OF0SsLuT5wtlpdut9clmDW1st1nc7nFgQxtY3v7zKVrWDBNTaDr+4tIPjByQ0Fc8PkCQJWRZV3H3Lw9BkpqdS9B2fpeT42jw/4Opag74tuniqioyqyiwMEjqCKOLS7ToSMFNK0rd9ihljLHE0iiJubrSot20MTeHYXBZVVTANhb7tx/LTD0KurTfikcynlgpocWBR4tRSgVbXRVEkVEXGdnzSST3+DYCiyJxbLdLuuzTaNn/+9l0cT8jF+XIGU1dRFRlJlvja+RlePjlNIWMgy/KAbyhYtk/S1DA0BdcLuLrewLJ9bNfH80N0VYmDrE+KhKFy/kSJbt87kh+dWMjT7rlIkijGm+D5wqmlItWGTa1lcXYpj2GorO24RMCLJ8oU8yba3Qatlo3rh2iqiuN49C2PQtpgUIMFUkQyobIwlWFpNoPlBnx4a5/Lt2t4fshcJcPZ5QztvujUnU6onFstHVkk9UlAU2VeOC70nqN42aMgCEKuDug8mVA5vVwco+EJPjsIgpBr6006fXfwrgufK/skiiK29rt0ei77TZu5cloUAgKNts1urYvrhyRNjaVKku16H9cTxRuGrnB8IYfrBaSSIvH54q19ErqKrMArp6ZIJnSmciZb1Q5X1xr89z+4xXwlzUvHp1BV+ZnxiY+Kvu3xyyt7rO10SCc13jhTYb6SefiBE0zwMcD1Q77zi3X2mxaZlM5vvrlIMiH0smFDj/2mxVw5TTlvcnurjSxLrMxmubXZptq04kLk7VqPQsbg5FKeasOi1rZZmc3x2pkZfvLhNpmkzgvHivzRj2/T6/ucWMzzd37nLNc3WxQyBovTWda2W7R6LscX8vzkwjZ3Nltkkhp/4UsrLE7L+EFE0lDZbfS4vt6kUjB549wMEqKzpqnL/PGP71BrWeTSOr/+hUVWZrNEQCln8j/87A7VhsV0KclvvbmE7YVH6qKb1S6b1S6KLMX2x1Ho2x5X1xp4fki5YNLo2Fxbb5JKqBybO/C/ZVIaX3tlnst36pQLSb780hzNroPjBpQyCf6f/+QDtqo9chmdf+2vnufMapEwjJgvp/CDiJ7lxbr7/XByMR/bER9Vj5/g040wjLh2t0H7EX1QsizzG19YYm2nw9pOm9tbrXhqTqVokk0bfOn8HBeuV3Fcn6Shcna5SKvnkDY17mx12Kn3KGYMXj1dxkwovH+thq5KLM6kkVEo5BK8dKrMxVs1PrxZx9AVVEXh1FKB7f0uP7uww62tJtv7PbSBLS4B27U+miZzajnH8kwWU1OpdxySpsLbl6p875cbzJVTvHF2OvZbv3yyjOUGGJpMLp2g1bVxvZBiNoFpqHz1lfmYLyxOT+Tvg7C23Wa33kdVZU4t5uOisgkm+DwhmdA4f2KK/iPI4vuh1rL47jt36dk+qYTGmy9MH8T7IlicTrNT6zFdED7VWsvmjTMV7my3uL3VJp/Wsd2AdNrg5HyBnuMRhiG/uLTDt394m5likuOLec6fKJNP60SSxJdemCGXOfC5VhsWnh9wa7NFt++yWe1Sa9uoskSnZ/Orry2yvd/j3at7hFHEr74yL6YhucIX/DtfXcVyfPwgJG0KXiCmIYWYCdHUZ8gj0qYWx4xeOVWOu/4PYz6eFzJTSmHoCl98cRZ94C9xXZ8/e3sj1uO+cG6azWqPIIyYLaVIJTSqDYv56TTH5vJkTI123+X2ZgvXD0klVGRZwpAVzg9iuEfFM39xaYer6w1URearL82x8BzJgoT+YF/qBB8vdE1BVWXaXYdi3ozjnWdWitRaFrWWzbmVAqvzeSoln5NLefqW8GdmkjqKItHuOly722Rzv8d2rc8Lx6Y4u1pkt27h+SEpc9zPaLkB/98/uUK10SeXNvgXvnGMlbksO3s9simDYODLV5Vxv+JCJUMubVAuJHj/WpVWz0GTZfLZBKeXS7x/Y493Lu+iKzKvn62Q0BTW9zqcWS1Szif5g+9dZ32nRbVp8Q/+6DL/9Ed3+Ff/0otculNne7/LzY0W6aTGymyOFwbNtdo9l+t3RZ6H4wYUcwkWymmOL+SZyosp6rm0wfJMjs1qF0NXmDlUpDWVM/mf/M6L3N5uMl1MPnIC2vDaQ34w0eE+eciyxNnVEu2eg64q9+zlUSxOZ8hnDIIgotrs81//6TWqA7/C8nSGEwt5SoMCu/PHp8Qk+TDij358hxt3RZxOkSVWZ7McX87juSF397p4no8UQafnUB1MmFqZSbM8m0WSZC7frtG3PRan0/ylXz3BycUC1YbFZrXLftOGSAIkgkA0bjy1WDhoVClLnFstDQo1JKJIIiLi/ev7ca7T8kyWF49PIcuwudfme+9skE8bnFgq8LVX54giCaSIP/vFOq2uSyln8utvLKB/ynh5vW1za7NFGEVxbs7TQhhG3Nho0uw4GLrC6eXCRNZ9jrBb6wMwU3x6e2qCp4+3zs/yV752nH/yvZv8J//1L1md+/pT5QMTTPBJwtQVvvHGIu9d2yOX0nn5VOXhBz2HqBQS3NkW0zfuVxT+vOPsap6Lt5vx59dWZp/dYp4QCUNFksT0xIypoSmf39yPz++df0qxtt2OR2ju1vrc2W7THozFtGyf9Z0Od3c7YhRiGNF3AnbrfRwvZLdusVe3cL2AVtfh/au7g6KJMl3bo9lxaHQcbm+36VoeUSTh+gHNnkfP9qg2bS7druP7Ee2ey17DopBJcHenS8fy0BSZq+sN3rm8Q98WyZFBELG934vXf2erTRhGVBsWjZaDoSk02g7NjoM2qKhKmRqFTIK0qcWdyEdx8Xaddlc4Ch03YLfWY2OvS0ITyZVvX9657/Pr9F2abUd0tEnorO88eJSQporJA5mUzspsLmbcd4bvIYKdWp++/XjjoRKGSiGbIJnQKWQTj1XAASJ558ZGi2xKp+f4bOx1SCY07my3CcKIfCbB6lwu7t6gDCYopEwx3aTasEQ1fgTrOx08PyChizV9nhKknjXUwXspZBNcvdMUjo4ILtzYJwxDCtnEkQUc7b7LxVs1epZH3/G5drdJt+/y/o19Mbo0jOhaHmEIm3vdMToyDTGqL4oiXC/k8p06luMKp38kDc7vkdB1ZkopfD/i+p0WlUKKSiFFhBAcF2/VY5r7xaVdpvJJVmZzsdPkz9/ZiEd4393tcv1uCxAjUv/8nY3BuPCQD27s0+ratLsunb7HXr1HMWfGHUDrLRvHA8+P8EOoNcVvTV3l0u06t7fEeW0nYKv6aOPNPD9kfaeDKkuU80naPUG/6aROMZugNLj+ELIskc8YFLOmoNeJ42OCI3D1To2e5YvJSKHE+9f2AeFAP71c5NZWG2NAMx9c30eWJa6tNSCCzb0ONzfEXt7e79Hqeuw3bWRJJm3qImlIlo9Mer693WamlGJpJsvWfj8eW3yU/ATYqnZJmjrzlQz7DUFPQRBxZ1vIQ12VWZnN0bN9fD+kZ3msb3ewHJ+NvS679T5bez02djuoisxu3WJ7r0cqoXF3txuPPB7eS98Wgcg7222aXYcwjNje7xNGEbc2WiQ0hW7f4+ZGk7Sp0ey6NLtOfI5Gx6HeHoxS9wIaXUd0Ah7IrKH83Kv344SYnuWxUzvQPUAUcuQHXepMYyjv7lWDh/Ly4q0arh9gOT7X1pu0ug7vXK2iKjKlrMnVtRaphEY+kyCb0smljViODgPPW/s9LNuPeY4fhBi6wp3t1qNsqQdCTNw4mh9JkkQubUwKOJ5TbOx1yKZ0Vudy7LcdNqo9bNeHSOwZxw1wnRAkGVmR6VouyCLAcXevR9fy6PRdwgA6PY9G10FVZK7eqUMIrb5H3w2wXZ+fXtpFU0Xn30bXpdlxHr7AjxFDvedJCjgAdkfovG/799D5BJ8d7DUsOn1h4/Ztf8ye/Dyg3rZptB1aPRdJAtcNuXW3Rd/2qTZsLFd0du3bPtWmiyzJqDJIMgRhRL3lEAKeG9LueOw3Lfwwot31+OBGDRCd+aotG8cTcntzr0ujY39qCzgA7u52uLvXIYoiOj2Xa+vNz/XY3QmeLa7eqbHftADo9NzYNgD48OY+lu1TyCToWR4/vrBNMqGR0FW+98uNWJ9udRwu3a4DQvf7ztt30VSFmWKKVsdmfbfL2ZUSC5UMf/jD27hehKYprO10uLnZ5qUT5TiRcXk2x0snyuzV++zs90gYKl4Q8c6VPdJJ4Se6udWk0/OYKaWQZZkPrlXJDL67st6k1hL30+q6XLhRY2E6w+J0hou39kVCnKHS7rpcutM4Uhe1XZ/NvS5EojDkztb9/XHCTyWew6Xbda6vNzF1lTCEd67sxb+rt21sL2R1XiRBb+x1mSmlWJ7N8v33N9hrWKiqTM/y+cMf3Wa+nGZxOoMsy+iaMqa73w+jdsQEn2/sNy3aXaGfPKoPSpZlMkkdy/bRFIUgiOjaHu2+R61ps7PfxdBV/BCaXYd620FTFbb2+1SbFgld0OpWtcu1tRaVQhJdU7my1hJJkKrC2laby3fq6JpCFIkk2jAMefvyLn3bY7fep9VzCUO4frfJ1btNwggcN6TecnDcEF1XmSml+OWVKs2uTRTB2k6Hty/tktAUFFlmv2mxUE5TzifRVZlyPjmYJnJgkw75wgT3R3fQWAlEx/q1nc4zXtEEEzw7GI8oi++Hd6/uYTkBsiTFiapDbFS7RCFMF1I0Oy7Vpk06qdPoOGzu9akUUoSRNIhNuMiKiIt0LZ+17baIUzQsrq832an3WJ7LszKbI4gOfK5hGJPK2q0AAQAASURBVHFnu0UQRuw1LDb2u+w1bHqWj+dH3Nru8PaVXX5xaZcIoVP89OIOO4PCOk1V2G/ZzE6lWZzOUsiKONHMVJql2SzlgnlPkdfQ96hrypjv9+5uB8cLYv9k3zqIV15ea4zpcd/75SZBIGKDNzebbFW7pE2NhKbS7jnkMgbNrkPCEE2u9hpWHP8cxnAPxzNrLYurAz+374dj+trzggf5Uif4eLFT6+G6AemkjusGsRy8u9shmzJYncthuSHNjihkLWQSzFcyLM9mKeYS5NIGpXyS7VpvkPsA71+v0rN80qaGpsqsbY/bFj//cItqQ1yn1XX4ox+voUgysirj+WJ6Z7fvxXGHUWSSOrWWw+xUGlVRCCWJQjbBzY0619caZFMGZkLjR+9t4Xgh04UUuZTBu9d26NkBfgC+H9GxPNo9l3/w7Yt0ei7rg9wLxw3YqfV473oVEHkfQRCxW+uz37RwBnGYIU0P6VxVZZZns/dN+MymdV4+WXmsDsLDaxMNYzmPl+swwdOBIkuDHI6H+8yHNvrbl3fjwp/bWy28IKQ/KO6DgzyUi7f2qTUs9ps29ZaF4wXYXkCr7eIHEaauYrshe02LxiBWKCFRa7vsNx0kSaKQNZmvZKkU0tRbDrIss7bbIQgjTENlo9rh+t0GAO2uS3XgCxm9v3bXJZUQk+2vrjVo90ScYrfWp2d5aKrM1fUm3b4ncpoaFvVWnytrTQrZBNfWmrQGtlitZXF5rfG0Hv8nhttbrUO5OU9vqkijY8exH8cN2Nh7tHyJCT4bGMrVySSO5x//yrfOcXq5QM/2+Xu//zaeP4ldTPDpRKfv0uo4rM7mKGbNh+bdPo+4u9WJCzgAbmy06XQ+fT660QIOgP/z3//ps1nIR8BWtUsYinzNnu2z37IeftBnFJMijk87onEF/54RfNGgW+8RCB5hol54xPnuWcKhPx4+JrrPvx90jsfB4SU+aFLgPbfzpJd9Wud5QtzzjB/z+h/leU/wySB8gO0eHd7k0cF/0ejfOIInHL7OPXvp8O8fvteOusLhkZ2jH+/hCdH9ecP9r3D/9Twch3nUhB4mePq4Z1fdIzeikX+P/yCMwnv25X1p+XH5/5A3HD78IXLt6OuLv4X3kfT38KPBP+65N6Lx643yi0eUdx83FUfRQxnV/Y9l/KF/0jrDBM8XHkhb0T2q/dHnOOJcRx13D/18xuTdxzl6fIJni3vlxOcb0cgTGdcfhkbAuMyNAEKhf48+yyiKxu2IZ2zTftyImPCJCZ4fjKm69/iwxvXn4b4Nx358lBQftR8OnfM+nPNekrg/jYT38Jujj3pkKrvHjfFk9Pkgso4e8Ex4evkRE3xO8cQu5BFTMhoK6sEf7nHvHTbYR89xn81/v3WF8XUP/vewXRuF0YNl5djaJ3gamDzHCSZ4enhgjOx+Zs8R7r3YX3k/v92D2eSRPpqx843ZZJ8MHxjXPR/sW32Qnvqwv9//+hNuN8EBHi3O8Cgnuv85Dp8xOKT7x/HKx/SDRKNEfs93jxa3iL8/9MN74rzPABNa/YzgAa8xHJE7w+0sbIvD9vPR+/l+tHZ4/z4spjEmC++3/EPniKKD69xzzGfC3/f07uEz8TgmeGLs1EUDrJlPaRf5zxNURebf/dtvkElq3Ljb5L/47y8+6yVNMMFTwUQOPT/wDxtCnwI8jg/ms45JEcdzAtvxaXUdgocQ1NJMFj8I6dsepXyCldkcCV2hZ3soisTSTJaFiuiyIEmwPJvh1dMVdFWhUjCZyhtoqkTKVDk+nyWVUNnd71LOmZiGSjKhkEvrtHoOuiYxP5Ukl9YG3aZ1lqfThGFILq1TKSSRJDh/cop0QsUPQhYqaWaKKXRVdK4xdIXZqRRBEHB1vYEsi3VN5U0KWR3XC0glVCQ4suK803fp9l36tker69C3PebKKTJJ0Y0gk9R584VpTi3lcdyAIAw5t1qk03dptG02djv0LHGsH4RkUzr5tMF+06LveCzNjHcHG76HVsfm7m6Hds+m1XVEh+Sx95CJR0FWiskjuyNEkZhY0rMer3PF8J4Pr2m4N4IgRFVklmczSJJEKZvgxGIeJKjkTbp9N3ZIeX5Iq+vEndmHaxq+O4CFSnoyfeM5wGtny/E7eeFYCV1TxF7sikk1zY5Nqyv2oySJceCmoZLQFU4s5EiaGuePT5FN6aQSGpViEl2TmS/f23Xl9TPTJHQF01BYncuhKMqgc16Eoau8sFqIu0wmdJW5coK9Ro/9lhWPFz6zUgCEQD29lI+73Hb6Ls2OzRtnK8gSeH7ATCnJ6aWc+D0Rb5wtgwSyPKQlkIhwPJ8ojFjbEl0+JUliYTrDdNHE0GVUWWJlLsPCdJooiliazZDPJqg2LfZbfdpdh91Gn61q94EdY/wgIpfWCaIISYKV2exHenfD6UaeH95Dv0Pedbio5WAt4ZE8ZoJPH04vifG01aaFBLx0YgoQNOC4AWdXiyAJGfj6mWnymQQnB7KrUjRZnhH7cKaUZGUmx9J0hlbX4e5uh+RAxtiOz93dNldu13BdQXPLsxmqjT6bex1mSuY903sO9qf4/Vw5haEpGJrC3FQK1wvo9l2WZsfl4dJMBkWRSJkas1MpoghKeZNcSieb0qnkEzS7LtmUxtxUir7tUSma9G0/ljmzpRSKIuF4AXNTKfJpQ3QU9wJ++uE2hYxOu+di6gpnVooA5NI6sgyW49O3PVRFIpsW/EhT5VjHOYzpAc/rWR6qIpMy1TFaHIXt+rFecBhBGNHqOpw7VkJVZRKGyupclnwmwcunpkgYCp4fcm61gKErYx2++7bL3d0OfVtcd3YqhaEr6KrCQiVNLm0gy9JH5jkwLt+7fTfuWD/B84+FipBhPctjZkqMqS8OuhieWMwzU0pSyBikkxphEGKoYhR5GPpoaoTr+SQTKooCpVyC6aLowHvuWIEoCEnpCpoqoaoyX3t1Ie4mWcgaFDMfT4f9vu1zd7dzX5p7HFQbfe7udWh2rHtkeaWYjKfMmYbK7NRk1PBnFZXCgX2VMBRmP2djpXMpA0WRyCQ1DF0hY2oUMzqO45NLaxiaBFKEIktM5RKYuiycWiEoKmSSGqahkDYVdFUmm9ZRB+c7vVyg1XVotC0qhQTSwBs2O5VkZirF2naLtZ0Wrh/i+cGYLQnEMqc36Cj5PAVNFyoZ5stpJEkindQ4uZibdFmd4Jnh9FKBwkDuJk0ttg0AXjg2RdJUsV2fdFLjKy/NYbk+tuvzK6/OE4UhfdslaaqcXsrjBSGW4/P1VxfYb1p8cKOKrsscX8gDYnLkN99awdCFHbA4neHYfI4rt2ts74tuUkO7dGk6TSmboNro43kBr5wqs9/ss7HbYXUuRyGbwHZ9dFXmpRNT7Nb7bFa7nFrKk0xotHoumirz4rESO7Ue2/tdXjxWxDQG92NqnB345LoDX9h+y+LS7Rp+GDJTMqm1LDp9J7Z/jsLCdCb2PZxazHFsXvgTdFXh1dMVai2Ljd0OGVMnN2IrzJfTMX/6+uuLTOUTAKSSKr/11soD39moLT9q4z8pwoFd8bjdbB/HR/Bx2wGP6qv+vGAqb8a+MkNTHlkXLeUSLM1kMDSF/GBKTTalUcjqFDJGPN06l9ZZns2QSmiUiwkKGZ0oikglNZZns8yV01xZq7FV7TBbSrKz36XZdZgvp3j5pPCzIcFrZyrIsszrpyuYCZX5coZ8WkeWYGk2x5nlAooiYWgyp5cLLFbS9GyXruXyxXPTZFM6vh+SSSjMlJI0OhZb+11SI13X2z039lkO9+qQl4QP6krzETDUS9o950g/W3Pgy3efc/9aJqlTLpgAKIo0mVwywQQfAS8eKxFGYir5TCnF8kisb76SjifwLs1kmC4l2W9aWK7PifkcjutjGiqnlotEUYSiSCxUUpRyCRanM6iKhKpI5LN6rL90+x6phBbbR7brY+gKtaZFNq1RzBjkUjqZpIamKSzPZDizXODcaokgjAijiC+dnyFhiLgPRFQKJq2ug+P6Y7HE7f2umF7gBTQ7ont691Cc0XWFL6bZsQcxPnG/+YxBIWNw426D21stzqwUyQ/00nRS49xqgUbHJgxDpgtJMimN/aZFzz6Ily5NZ+haYqpjMX/QHX6opxyeeFjKmSJGieBtr5+Zfir61ASPh6Ff23IeTxY+qs63vd+N7Yv7XbvbFzqCPbKGmVIKc+jPS6hMF4UOtVBJo47s2/yI33Ko0w9tjmRC5cXjJUDEV14+WSGZUMXetVyWpjNYlsul2zVubzbIpzWShrCPMik9tpdKOTGNRVEkHNdjt9HDssb16Z7lMZVLsFfvEUUR5byJosi8cmqaF0+WAZAleOV0GVmCnu3h+SG/+uoSUzmDYjaBrsmkTY10UuP3/uIZVEWimE2QTCikk+Jep4omruuzNJOh23cFz0nrGLpKp+9y5U7tnngj3GtnBEP74SHvfRgTGb6jIAhZnsni+QE926NSMJ94evIEnzxePzMdT6JZmc0OJjzJY7HAMAwHMbqITFIln9YpZgxWZ7PkUjrphIaZEFOXZktJsikNRZEIw5BCVufEQg5dHcTc5IggjEgntThmOSzMWJjOsDyXott3iaKQruVx6XZNTBhHTGhSZYm+Lfbo6aUC6aROGEYi3jaQF6+emaI0yFcqF0yKOZPzA1/KykwGSRb7OJPSObNSfOw8nOATjsfbAzm9vd+j3XNZnsl8bLk5xayQ1T3bA4kjc0Mm+GzCcvx4Ss39JjVN8HyhUkjyb/2t1wH4wx/d5ofvbz7jFU3wLHA4j/PThkxSZyp/4Ns6nHf7acDiXIa5qYPit5XZNJnMp+8+TsyPr/l//3e//IxW8uSYK6fo9FyurdWRCCkN9tbnEZOI9nOARsfmxt0mUSSSVM6tluJg5WHYro8iSyJx0A1wvAA/jEjoYmS664fMldNMF5NIkhQXGvz1Xz9Bo+Nwe6tN13LZb1hcvFXnRx9sEYYhjhdwbC5Hu+dya6sFCEfA62cqnF2d4ssvzbBXt+j2Xbb2e/Qdn7SpM19OszidYbpgUq3b3N5u8f33NjENld98c4l8RgRM/+v/4SprgxFK54+X+MK5GW5vtejZPpfXGnT6HrqmcG61GI/ivb3VotqwaHRsXD8kbWo02jbz5TQrcyKIm0mKgFY+k+DMSoFay2Z9p8vVtQab1S7JhIbj+rx8qkLSUDm5VODa3Qb1to3chrmpNJklEYBrtG2ubzRpdx0u3qqRTRm0ey7nT5TIJHVOLRXisaW5tMFrpysDB++97yqKIq7fbcajCxcqaeYewWC6udGk1hLjW2dKSTJJnRsbB3vj5GKBa+sNHDcgoav8hS8uUcyaSLLEXqPP3Z0Oew2LdFJjZTbLlbUGvh8iyxJnV4psVrvxmmamksyXMyiDPTLBs8WJhQIrMzlCwPMCPrixz37Tot6yxTuShINB00QC8WIlzSunKpxdLiIrUswzFqYzSIiuGYosIUn3vt9TSwWWpzNculOn0XHY2u/S7rk0uw6eH1EumPzlrx3nncs7XLxd57u/3MJ1A/yBY3+ukuE3vrDI6aUCV9YbOG7IhRv7GJpMt++xvttBliWmiyaypKBpMq4fYQ6Sn/eaLroqo8kyvZ5Hs+sSBDZ9x+e9a1VMQ+WF1SLHFwtoikyERDlnkk5pzJbSvHlumt26xX7T4qcfbNPs2ew3+iQTGlEk8cKxIuVCki+cm2H6UNeB/aYleFwEKUPl7GopDnA8Cfq2x6XbdcIwYr9lkU3q6JoSJ5re2RJ8L53UOLNcjHkyiAD0pVt1HC9AkhjjMRN8+tC2PDaqHSzHY6ceUm1ayLLE5Tt1giBCVWR+91eOkzJUVFUWsittcGalgCxJLM6kmcon42TDK9fr/PLqLkEIV9fq/OorC1zbaLC510XXFMqFJL/3W2f4xaUdLtzcB6Bn+/zeN3Pxmvq2N3b9oYx96eQUnh/w5+9sUG/bNBAFGoWBzAZhfL12uoLjBVxbb4jASdcFRSIiYqPaQ5Ek2l2bqUKSZELjwxs1KsUkiiJkzrCjT8JQMHSV08sFvv/OXf5/37kugpdByOsvTFM0E8yWUpxeKXJ9vcHVtSatnoOEJArTTI1XTpXRVPlIngYMxqCLa23XuvQsF0NXmS4mWR4pmmh1Ha6tN4gikXhz7lgxdpYGYcTl2zXhTJbgG68tUMgY6LooVJ0vp5grpbBdEdi4cqeOosicWS7g+SF/8rM14ZBWZX7zzSVKOZOXT5bxB8WXQRCO6WZPCscLuHirhu+H7Dct0qZGwlCZyptxgtsEzy8Ez5figqBTx0ocX8gjS/CzSztUG30qxRSeF+B6IUEocrO9APpuQLNrYeo25UKKQsYgoam8fXmHeseh0bZJpjRyikJCU2j3XU4u5FEVCT+AK2vNe2jio6Ldd/lnP7mD6wYoisSvvbF0j+x9VPzy6h4Xb+6z37JJJQTdr8xlqRTE+VRF5sXjUzFNTfDZharIvHCs9Ll811EUcWOjSRBEpEyNhUqaP/7xHW5sNAWNJ1QyKZ1u38VyArb2e8gyJHQFLwiJQriz1URTZBKGRiZtMDeVIplQmcon+eH7W2RSGh/erKEpMtmUzmtnplmspPmzt9e5eqeBJEssz2ZZnskiQSzXq02L3Vqf/ZaF54tAcD5jcGqp8KwfGwApU+NXXpnH80MUWTrSTp9ggk8Kuq7yra8ew3b9I4qJIpZnslQKJqah0bM8DFVBkuD2Zosr601cX+gBpqYgI9HuufzpL9a5crtGGMHl23X+vb/9BZbOZGL98uxKAcsNUBSF3//2RRod0QDitdMVsmkDIpCliFtbbSzXx2uF/PD9Lbp9kfBQyCaYLSXJpXV0Veb961Xu7ookrXzGwA9DUoZKGEX88P1N9psD39VUkpW5LNOOSdLQubXRipMMXS/gpxe3CQLht1ycSdPt+UgSlHJtCtkERyFtarx6ukwQCjvm5FIxLi65stbgl1f2ACjmEvyFN5dBAkWW2K712BisOZfW+Xd+7w1aPYd0QkVV7+8CH/ofQRTC9WyfMIxQVZlzKwd+ykdFGEZcvlMXySSDxhFDfeZB8PyQS7dqj+QjWNtps1vrA6JIYFjU87Qw9JESieLZc6vFzz1fVWSJs6tF/CC8r7/tKMiyxIvHppibSnNtvY6ERLXZZ2Ovy8XbNQI/RNMVXj4xhSLLSMB+0yaMYKGSpZjVefdalYs3a/Qtj0gSPudyQSQbh2HEr746z+ll0RhBVw/8g3/9Gye5cbdBtWVzZ7tFIW0wXRLNl9p9l/2mw/UN4Z+3bY9MSme2ZCLLETv7Fj/8YAvXCyhlEtzYaPJXv3aCKIJqs8/6Tod0UqdSMPH9gJubwv9VLpj85ptLyPLT2y9D30a9ZVNtWnEh/NkV4We7s93iR+9vEUXC//bbb60814Wcq3OicYf8GPtoggkmGEen77K13+fUUh5Jknj1VGWM75iGyiunhC4hSxI/fH+TD2/t07c9DE3hjbPTuH5Ip+fStRx8P6KUTfDSiSn6loftBNTaFtfWGmzudpEVGc8L2Wv0ObGYp5RLcOl2jV9e2aNn+3i+TzFrUi6aLFbKLE1nyKQT2I6PpsqcWsxTzieot2z6lo8XCFn//vUquqqwU+9TzBgYuspWtUPX8vH8AF1XSCd0+rbHwnSGldksi9MZXNfnj3+yJoo5JfjKS3Px/aqKPBaPfenEFL8z0Esv3Njngxs1wiii1rJZnc3yztU9oiiikDGYK6U5vaKzWe2ysdcRD3MNVqazhFHEpds1XE/EG08vHzQCA/jSi7O8dqqMLMs4g/hWrE+tFp9rvvxZwGG/9vH5HKXcw5NfHjU/4Yfvb8axrpW5LF99ef6ea3f6osFRMWuSS+ucWMxTyCTQVJnzR/jzkgmNV0f27RBb1S4be12u3W1Qa1oUswkWpjN84/VFzq6WuLHRoNN1+eXVKhER2aRoOvWzS7vUmhbrO22m8ialvMlvfXGJV05PAzAzlabettA1hZsbTS7c3CeT1MllDP7lv3iWtKnH1/75xW22630ypoaqyvzGF5dRZIlvfXmVXz0/y3ff3WCz2uP96/vMTaVAkrAcj2+8sUSlaDI/laLZc5nKJdmp9YgQOtLSTIbVuSzX7rb4yQfbfJjUWZxOs1Htxs/k4s0ql9ea2K5PIWvwrS8fo1JMsjKbJQwjrqzVYxtuYTpNtWHhuIKnDJ/5YQxjIp2eS7VlsVTJkE7qlHIJVEVGkWUsJyAMo48cu5jgk8GppQLH5kROwfp2i+39Ht95+y6ZpMjdObOc58cXtlnbbrPftFmezXJupcSpxTzffXeTnXof3w9w/JAwjKg2bBw3IIpCvCBgr27xpz9fx/cDkCXqLQXbifgv/+gyfhBi6KL52anlAq+fmeby7RqNTp8Pb/XY2BOFV1O5BH/rt87ykwtbNDqiePG1M9OcWy3hDmJcW9UeF27sMzeVZrac4m/91hmiKCKEWG7c3mpxd7cDkRQXW0ZhxLX1Rpy8vjCdZm7q/nk4nh9y6XYtppWTi4WxwrGnjb7t889+eofdWo9u3+XcaokTi3leO10BSXrquTlBGOH7IQldgSjC9YJB884JPuvYrQu/UNrUjmw6PMHziTfOTvPXf+0k/913rvOf/jfvcWw+90AeNsFnC6N5HrIscWalSPpTSL/H5nMsz3y6fVtb+/3433e2jy5Wf96xUe2Nfb6yuc+Z+an7/Pr5xKXbdf75L9YJwpAbmy0WZ7LMlD6fPPHzHX15TrBb78fjYWwnGHRhORo7tR6SJKHIIll6Y6+L74cosjwwsgSTURR5zNCWZZl2T0xocNwQ2w1Y22nT6ro4bojrRazvdriz3cHzI2zHp2v5NLsufcvj7k4X2wkIgoi+7ceFALuNPtWmhSIrVJsWthvgeqLr+N1d4eTbb1mxwxDg4q0a1aYFSHQtD9vx6dkefhBSa4sgcBCEcQC12XFoDRLT+rYvilfcIO4mYrsBzY6DpopktWbHZrPapW/7dPounb5HsyM6vlxfb9DsOMiSaE92da0+9h6IYKvaw3YD2j1Rjb+13yOKDpTgg2d6/8QQZ7CmIbZrvSN/NwrPD+ICDoCdep+dem9sb9zd7eC4w6ka0Oy6qKqMIkvxuwfG9gaIAPJGtTO2pr26NSngeM6gqjK6KlNtWoRhRLPjYLse9bbNfsvG8QK29rqEoegu4bgBjh+MOTgVWSRwqMr9k50B+o6P54eii0skeEsQRINJGqJry53tNpbj07N8Gl0H1wuptWx8P+T6epOu5ccjUl0v4PZWm44lus5sVXsgydQ7Np4f0rM87my3CYJITBXpubT7HvstCz+I2G1YoqO85dHpe/TtgA+uVwcdm1wsN4BIotl12Nzv07U80Y3KD9it9QlCaHZcerZHrWXT7DpHdgXaqfXi8Vu2Gzx2V8zD2GuIdxWEIfWWTXvQFWev3mdr5Prdvic6YIyg3j7oWhVFxDxvgk8n3ru6h+MGKLKMH0S8e2WPatMiCMSG84OQdteJu0sNu2NoqoKiyOw17LFg1rtXq4DowN/suuzUe9zZamMPZEC10Wdzv8vFWzUkSRhHm9UueyOyqtoYv/5+S+wxSRKJYNWGhTw49tp64557kiSJ3iBwqcgyjY5Du+eyvtel0/eIJOg7Abe3RKJWc9BdLQgiqg0r5mWKLOP7Ic2Oww/e3xYjnKMIxwtZ2+ogyzLX7zawbD/uxtNsOzQ6Qib2LA/L8R/I0/abVjxZo9F2aPUELe7W+2MdOkd1LscLaLQP5GK758TXJ4L9lo0+eCeqIrNbt1BVBdcPaXVd3IGDe69hcX2jGctc3w+5cbcZn3fIow/rZk+KWtPC90PCKKLeEfzu8DOY4PnFkEYVWY71RVWRkWWZWxstPD/ED0Lu7nXjEeeHYbkRYQTVpsXV9YbQd3sufhBSbzlYto/l+Gzt9QjCiLu7B3robqN/3+lQT4Kbd5vxZKAgiLh+BC95VFxbb+B6Ia4X0OjYdC03Tk4cxectqf/zjM/ju+7bogMrCD7x7rU9am17kAgs0el7tHsejh8RRBBG4AdgewFBFOH4IX4Ijh/Sd336g+6p3b5HtWHR7rnc3RW2ctfyCCNY226z17C4uyv4ThhGrG212G8KvUHI9X5sDzfaDp2eK3SUzvM1UU6SJHRN+dwnGk/w/OCoZLX9gY2gqyqOG3BnuxMHO378/hZ+ECJLMp2+SFpWFPHdL6/sEiH+3Xd8vvve+ph+qSgKaVPn5npjkCAh7MyfX9qNFYqra00aHQtFloki+NnF7Xhdd3fb1Fs2uqoAEh/eqsXfXb5dp9MTtoznBbx7rRp/d+VOA8cJ0FUV2/G5vX3g//v5pZ3YHml1XS7fqsf3em1EXz4KkiSNyYGEriLL8pjdIhK6+7H/Y2dEb2h1XSzHJ59OPLCAY9T/CHBjsxV3Ifb9Az/l42A4sQiAI/yJ90OjbY/5CO53XBRFY9/VWvZT73K9U+vH+8Zy/NjmmICH+tvuh3rLRpbk2P+zvtvFcUN6jo/jBOzULKqNPlu1Hn3Lx3ICbMdjbafD9qBhREhEGEDfDrAcscfv7nXYb1roA5/iKMIoot33cFwfCYlWzyWKYG23i4Toqltv2TQ7trDxI7i91aXZ8XG8MKajdt8lCCJ+cWmH+kAv8fyQRscmiuDd6/vxNasNi/oT0M2DMPStNDtO7BPtWV48iebqWiO287t9j41BTOJ5hvKE+2iCCSYQGPr7ZElGQjqS7wx1iU7f5cZdwSdsN6DT99ip9dna79GzXBwnpN1zafc8+rbPtbtNHD/A8yOaPZfN/d6A/4Rs73cJgpCraw126306fRHf7PZ99gdxgmrTRlUVbm+1CKOIZtfBdgO6log1On4AiOLT/aaQ4Z2eS6vn4rge1zdEk72e7bO+3aHVcwgGvG8o/9f3OgfTuCLBB4f3Wz8Uj/1w0Pwnoavc2GiKQyK4u9thq9YTflfbJ4rgyrqIl15ZayBLErIkxfpWvW3jegfxxqP0FF0XzYv2RnxPvi/iJhN8vOj03DG/9s4R/rSj8Cj5Ca4fxgUcAHe22rgjuufQp96zPFwvpDnQDw7vkaN8PId1fjhY+1a1i+0G+EHE5l6Xvi38EL2+yF3o9MU9S5LEjz7YFnTUdfCCiEbXIQgirqw1x849jMHf3m7jBxGuH9DpuXGuwPDaG3tdPE80jVrf6dDtH+zhruPT6nm4boDnh6zvdvD9kEbHEXzGCVBVlamcKOK+cbc5aLKl4PkR71+vxXp2p+/yzuXdmN72m30+uLkPRKIhXt2i1bPYG/C8ruXFBRwANzdaYzkDe/exH4bvudl18DwxKcFyfG5uNOOmAJ2+S/8xp7hM8GwxzA+pD+JhwyktrhdwZ6fDTq1Pz/ZBkthriCLx29vt2O/YsYTe3Lc9Gh2HjuXheBFRJPwR1aYt/IxeSL1rs9fqY7k+9UHOTb1ts7HbZXu/h+uFWE7AZrWL6wWD3B+fH1/YjP0TIHF94Adodd0xe6LZcWh3XbwgRNfV2JfiD+z11mAacM/y8TzR1GZYwAGws/9gntfsOOO00ng0HvmkWNtp0R/QaxgRr9fxgo8lN6fRsQfnlgHpkX0QE3z6sTPIQZspPVljtQmeHX7vt8/wwrESluPz9/7B25/aiQwTPD6GeR7AWI7vpxGfZt/W//Czm/f87dJG9YhfPt+w3fGYwP/nv7vwjFby5PjphW2CMALE5LafXdp91kt6ZphEtp8D6IfG5T0oWUXXRn4rQfJQFfXY9/c5VlMEE02ZKpIEsixGfxqagqEpyJIo+pAlMHVxTHbQUUUw4YM1jgaIdE0edL8Tn4fjUVO6gqIcMG7TUOO1qANDZXi+YUd8USBx8J0iS3HiqxJfe3AORYrHD6qD5HVxHwfOH0MT/582x5/XaBW6NnofI58Tg2fwoGd7GMPnNMThd3wUZHk8uVNTZAxtfL3JxPjn0QkCY9eQuKfC3tTVsfMP73OC5w9DmlIVSeyLwfhuWZLQ9MF3qqA37QkTlLQhDQ7pSRunJ1WVSegqmiJ4gSILBUwd7DMzoY7tIUkWCVOjvEHiYH2KImPoSsw/dFWOryMN7kPwHQlZEusxDS2+fyAuTknoCrIsYQz2uKYOeMXg/3VdEROLtHsTNQ7T8UeZwjG8T0CsWz7gOWKdI9c/4l0dDq5rE5r8VCObGu/akjRVjAfsN009LCfG3/+Qhw/ZtmmosYwGMTY8k9IxR0ZcK4pEckTOHd5To3Iioatj179fV5ZRmhnK45Qx0B8GwYWEpqAOeMTQAalp9yaQaKo8IofFhKFkPEpdG+MpqiIf6EPSw2Xw8HvpMC2q47L1nnei3UeOcq+cHP5WVYb6jhTf1+Hnd1heP00M71UePO8D/UgaFKlO8DzjQXLI1NV4X6kPkE/Dt6xrQiYqg45pQsZKSLIo+NY1QZe6Pk5bT7Oj2uHuPgnjyceAD3VVCSHzdU2ZyMYJPndQD+kH2ZQh6Fs+0KmVgb48hCQJ+ScBMtLAxpcGdr2QE4oio+vi3OZAjg/tatNQ0A4lfmqqHNvQALqmxrqsqkqx7jsqcyeYYIJHw6guIMvSGO2lTJWhpFfke/X3URTSR0+xyGX0sc+pEXshaapj+mLSOPhOVeTYTwCMTZ8wdCX29cmyjDmyFkNTGDa+lmVpTN8e1RNUZfzeh/7Gx8VhO3tUDx99lpL0aPb+qP8RIKEpY8GnJ/EZ6JpyoLBxr613P9xjv93HBpIkacy/IMtPv5Pno65lgkfH8JkO/WJDf7MiyQPdV9CgoQqaGspqQ1cwdI14UwmBH9u+hqbc9/0MC72UEV8VCLoR00SEHakNbH0QPnRdE3rE0MYcHp9J6mOyXxsQf2rE/pWkowvYPgqGfEUd8ZfCAX3e4wNPfPo6GE4wwQSPhwf5XA9DU2UMfehnHfgyE+pY7EVRZFRV8LdkQkVioEvIMqo8kLuShKYKPWHUTysP/DCaPoiHDCYJJ3Ql9t3JkoSmynFsFoRsHSbgDvmxrCjxvSgDv8hQB1MVOf4udYjPGfq4jnU4HnvwO/Hv4fVSQ//zoMjWHPh0xuLO0nhMN17/A5754d8+yMc1wdPBPX7sR3zmh/3h2hGxbFUef4e6qjB6+oNY/bi+8Shx8aMw1JmGMcShvq6qahxTGcYfh/pLJiloYrjOWEc5lBMwXNPQ3zG0jXKD2M7w2tpAn5dkoXfo+oGNZRoqDGhfnGuQexHnGIzf92Ff6XCtQ6RHJtrIikwqoQ/WNrAJNT325+qDuPDBWg7HM45+5sM1Dp9X7A8a5SWPaD9N8HxBHtgWQ74/lCkpU4vpBw54di5txHtIU+UDn6GmIA/OJ0mC7hUZVEnIOFmSRnKIJEEbqoyuKmO2ha7Ksc8QxFTPo/asro3zC2WYm3DIxyhsESnOJxo2uUgY4/HNh8UQnpRHPimGvpYhn9AH01c/ruveG9uc2O+fFwyLD6eLqWe8kgkeF4oi8+/83uvk0jq3tlr8v//gw2e9pAk+ITztfLUJngwL89l7/nZuofwMVvJ0sTqXe9ZLeGwcto8K95lM/nnAZI7ac4ClmQxBGGI7AVN5k1zaoG+L7vumoY6NPF2dy3F7S3TpnSmmKBdM7my3uLrWYGE6wxtnp4+8xrAbdzalYRoqQSi64a/MZNhrWmQ1lflKikrR5Pp6EzcIObtSYHYqw169xx/+6Bb5lE4ukyCT0liazqAosujSb4e4TsB0MYksS/h+SLlgktBV0ZkmjHjr/CwXb9ZQFJm/8MUlZkop0eFPU6gUTIIgJJXUKOfFvUqSxKmlAus7HY7NZ6m3xZjFSt4kZYoRn8Mxh5qqcGIhz0a1y6nlIhJiLOJOrUsQMZa8YiY0Vmaz3NpqIisKluPznbfv8tZLcyzNZKm1bEp5k/6gG/hiJc3JxTyphM5C5cHjejarXbb3u5TzSZZns5xYzLO510WSJFIJla1ql3IhiabKNNo2PdsjlzbikcOKLHFyMT/o8BFwfVN09V6dzZEyNabyJrNTKWRZotYUe2NxOnOwN+YP9sZsKUUplxAd17ou6aTGQiVDNmWwsSe6PK7M3iuUJvj48Z2319mt93j1VIUzK6UjfzNTSsXdGNp9d1CkIOEHIQldxXJ8UgmVnuXxwc0qlWISzwuRJNhv2qQSKqdXSrx3dY962+KFY+I6F2/V0DWFU0sF8pkEy7NZDF0hjCJyKY3dhk2n53J2MDL5Ky/P8dMPd4ikiCgE1w8opE0WZ9K8eGwKVZXjyTwpU+PMUoGt/d4gwCBjuz6mruH6ASlTY7pocuFmjVpLdIsvF0yWjDQ9y+fEfI4r6w2IYHkuQymfYHU2S7UlxiWrsoShKpxezJNOajhugKaIROnj8zlubTaxnJCkqVHKGJxZKbI6ULxcLxhMDJLIpDT26n10TWZlNkfyCQK7e40+rhcwlTPjd9Xte/HoZ0mSWJ7JoGnKGE0mDgWVC9kE8/9/9v4z2JI0ze/DfunzeH+9K++rvZnpsbszs7Ozs7uACILkwpAAlqTEEMQgASJC+iAQEVSEBAERJEWRogFIQlgsiAWg3dlZN96bdtPd1V2+6lZdf+/xNn2mPrzn5L23fFV3T3f1nH9Ed91jMvPNPO/7vI/9PxNpGm2bhKkyV7mzjPF80YWn03eZLqeZLI7ZFD6MeP7UFDvNAavbXcr5BL/0zAKqKguGt76Lqkqcu1rl/HKDj52dIaErLExlOL/cQFNlptNJ1na6JE0Vywl44dQkP3k7om/7PHk0xcJ0lmLO4Ps/28DxAl44PYXt+Lx0Zobv/mwVP4hYmMzwh9+/xuJUlqWZHFEYoakSzY5DqZDA8wO26n0qhSTppM7Hzsxw7loNQ1N48fTUvvsJgoCfnt+i03OZrWRAgsMLeda2u+iawsJkmrWdPtmUCnLEpZU6JxZLDByPci7J1NBhNFof2bROJZ/gf//nTvEP//mbtLo281MpZsppXC9gIm9yfrmOaSjUWhaVgono2OVydL5w39a/E4UEtiPYy584UiaMhIN3cSqz73tzE2mub7Sot2yOLBT2tRdPJTQmS0murbVImXq8T/Ytj2bXJpvWuLnZwfUCji4USAzZ5S7dbBKGATPlJN2BT6WQiOXug6LatHA8n1IuQcJQiSLRzcQLQsr5xL7gdDmfYGB7tHsuZw5XiKIIWZKYn8yM250/BpifzFBvWzTbNl4YoW/IHF8qYuoqTx2d4L///TcZ2D5ffGmer3x3mSAUVfeGLmG5ERIwXTbRZBnXDdBTMqEXUsxoyIpELqViqCqJhMb8ZBpDU/jY6RnWq6I71OJwXgdByE7TIooiJopJun3RzSqfNvYFD23b589euYnt+Hz6qdnb2lceXSjQ7Nhs1QcUsgZPHpl45GfziSdnePmdbUxdplxIUsknWBo6G0Z7uarIVPKJx2quu67PhZtNoiiKf+sxxrgbDE3h4GyOjVofTZE5fbBIb+DS6FgoMkwUTDwvpN5xkSUXzw8IQiCIUHURKHX9AFUWRAyyDJ4XoKsSUhiyvtMljKCcNUmnDLIpnZlymmRC4+NnZ3jl/DayDM+dnCRl6nT6wpacLCbJpHRubnY4PJcnDCMShsrcRGZcxDHGGA+JyWIythEyKZ2ZSpKvfO86iizzb3z2GP/0T86zWe9zZD7Pk8cq/OH3r6MqCv/Bv3maP/z2Mo22zbHFAp9/YemO55+fzPKJJ2Y4d61OOqHyS8/Oce5ane7A46kjE6xudXjt4g65tMl/9lee4cfnNrHdgE8+OUsqodHsOCRMlS+/tMRrF6sEQchLZ6dZ3uywut1jqpjkpTPTfO3lm0TAF15YRJIkofOndMIg4o9+vIwiy/zGJw/yjVdustO0OLpQ5uhCnu+8voapKbx4ZpGrq01aPYfFqSyVwn47d69+3OravHmlSiFt8sLpSf7Zn12ib3l86qlZ8nv0+QMzOX52eQfPDzl5oLgvCS0II3YaA6Ioin1zsN//CHB8sUC9Y++zYfai0bEZ2B75jHlbq/t628JyfIpZkwPTObYafXRVvmfwJIpEZz9/qPfv8xHcww95ZKHAzWHXk/fDDlicyopuzl5AJZ+IfZdjPDrmKmk8P2Sz2md+MkM2peO4PrbrkzQ1Ds7myKcMvvbyDdpdh2LawA8CCmkdU8vQt1xqLQtDV5gsJokQScSnD5Zu8xO1ug5rO11UVWZuIsXNzZAgDEmoCrm0xskDRdZ2eiyEotvGwBFs0glD5fMfW+Snb23S7XtkkhqaplLM6MxW0qRMjfVqj0xSQ9dlHCek3rb45BMzXF5t43gBZw6VY3siiiKqLQvL9gmjCCLh/04mNIpZg/PLDbYaAwppg4HjEoRw6kCRSmE3AaXZsVnd7tCzPBansnQHDsWsyWQpFfv0nj81hR+EdPseSzNZZu/iXxtjjDEeb7S6NlfXWiRNjSPzeVwvYGD7pJMaF280GdjbPHl0ItYpPD8QXYhlielyitcv7eD7IfOTaXJJnScOl3n94g6bVYswEoyocxMpfvm5Bf7sJzeRZIlKzqScN9lpObiuz9xkGl2TOXVwgogoZvZOJlQyKR1FkpibzOCHIQdnsmzU+0QReEFIs2dTyiWJiEjoKkuzWTRFoW95nD5UQkIUiXz5pQO8emE7jrOWcyaW42NoEvm0zuuXdjB1hclSgtcv7pBMaLx4eprljTaaKlPMmnzp4wf4wRvrcTx2hIXJFK+c3yGfNvi1lw7guAHNroPlCH/mx8/M8L2frbFZ70IkUcwlOLFUjPWt6XKKVtchaar3lLXTpZToun4XfWqM9x7JYex7uznA0JQHjv/OT+7PT8imbtf5ZFnm00/N8trFHQCeOT6BLO/6AVKJ3WtHkYjPS7I4d3cgumOkEhqFjEmzKzp67Y2Nw/6Y2+G5PDc2Ojx7YpKthrifJ49OxEnoo3yAIwtFVrba2K7Px89McWW1w0atR9JQyWcMEoZKOZvg3LUqhYxJJini/F4Q8tLZWX7y9gZ+EHH2SJkDM1m+/8Y61UaXc9caWLaLrEi4XsCx+TyXbtQ5uVRE11XyGZPnT05x4UYDIqEvr+908YKIla0OL5ye4vpGG88LyKdNEUN0q1RbFuW8yckDJa6tdwjDkNlKmtlKip9dqeH7Ic8cn+DZ4xN85fvXSSc0Th0sUc6ZcYzDNFQOzuTYrPfRhnZGvW1Rb9uYurIvZ2AvRvetqTID2yObNqjkE+QzBjc2O3h+yEw5dVuB3K2wXZ9620ZTZCqFxGPLvPw4omd51NoD1rZ7pEyNY4t5kqaOJEkcWcgPCwVlMkmdqXKKhckML5ya4kdvbeJ6Pn7g84/+4BzFnMnnnpnm1csNwjBkcSLNwPWZLqVIJVRqjQGWF5DQFYIownVDVEUilzcFSVsywWRRIggiJotJXjwt8pIGjk86ofH0sQprVdEZ4NhikeOLpaEtbsW5KZbtiRi/JjM3kaY38ES+wFT2tsRWWRb2uq6KIsdsymCylGSmnEJVJM4vN9BVhVP3sLl93+eHb66zXutzcCbH4lT2rmvlvcLidJZGx8ZcU3DcgONLBQ7O5u9YKPdeIJ8xmJtIU38AX8IYHy1sN8adOB5nlHIJ/tPfeob//H/8MX/64xs8eaTCS0/MfNDDGuN9xt48j1RCY6b8eMps2/GptS10TaGSf/z0wpNzFbImjJp6Fh/Pn4GXTub54fkWIPJJ/qN/8+kPdDyPgj//qYNs1PrsNAccnS/wqafmPughfWCQomjUKHOM++HcOdF25syZM+/rdWzH5+3r9bjd7Pxkhunynatnr642+dffuRq3O/3c8/M8c3x/IubaTpeNocGkKBIz5STfenUNzwu5vNqkUkjQ7NgkTI0wjPC8kMPz+SEjp8S//s51ojDCcgOOzuc5vlTk9KESW/UBtZZFu+cQRBHHFvI02g6TxSSb9T7T5RRb9QEThQTZlMF0ORUbRevVHus7PboD0QJ4cSqLpskcXyze5iRa3mhTbVqAqEI8e7gcs0TcD7WWxfX1Npbrs7bdZbqcYrs+oJjV+cnb24RRRNLUmC4n+dxzi6zt9Nhq9Ll0QzwXVZX5zFNzzN3HmFuv9vj2a6txC9SXnpiJg7SXbjbilo4JQ2W6nOT6ugi0IsHJpeK+ZDmA//ZfvsmNYTA2Zar87b/y3D5WszE+OLz22mvouv5IcuAPvnuVH761CYi1+B/8udMcmMk/9HlcP+SrP7hOs2NRa9voqkwpaw7bY0pUCknaPRt72BrU9wMiCYJAJCMfXcjzxJEKpw6WGNg+19fbvHm1SrNtU84nyGdNfuMTB98zhiTb9Xn7Wp23r9U4v9ygb3sQRZw8UGJuIsOvf/IA/+IbV+I236om8/zJaZpti1bPIQoFm9TidIYwjFAUmeWNNhvVPqmECCCvbXdx/ABNlZmfyPB//vdeIGWKgrW3r9ZwPNEKemD7TJdTSBKcPFC6jUH8fljd7rJZ25WnZw6V31dGizCMeP3SDpdXmoRhRDqp8czxyffdwTTGvfGwciAIAv7HP3gnbkc+VUryl3/1ZDw3Gx0b2/WZKCRZ2e4yV0mjawqTpSSLU7sBlx+8sT50qge0ei7PnZyg2rSHyVYW339jY1gE4vP0sQkWp4SjcH4yw83tLpV8gpSpkUvrHFss3nPMX/3Bdd65XgfAUBX+2m+c4M0rdVa2urR7DpduNpgup7i61kLXlDh54t/4zCFUVeXIfJ5C9s7swCCSmv/wB9exHFFY4nohsxMpam2bp49N0Lc8JEmikk+gKjJnDpffEyaCd67X+dklEXCSJPjix5biYlnXCzh3rUYQiM18upyinE/wzlAnO3e1hhcEpBM6SUPly586xD/70wtxa+Jc2uDf/81TKMrDyYQ7yZX1am+f7nPmcHmcJPshxKPoBJu1PqvbXV69sEXP8pnIJygXEnz5Ewf5z/7r71JtCW9B33LwAyCCkIiELqNpKkEQoigySV2la3sQCUbchKEwXUoRRKBIEpPFBPmMyUwlzdJMlolbEiMvLDfoDoR+6nrBnm42+/fH/8+/epPrGx+sThoEIeeu1XA90RK0nE9wcPbxYZL4kx/doN4W6zmX1vn1Tx76gEc0xnuJd2MbPAjWdrr83jcu4/ohtuvj2D69YdGi4/kMLJ9wj0dHYtjFa9iZR1MVZFkmaSiEYUSEREREKWvym58+LDo6DfeX++3dY4wxxp3xbuSA7/v8P//pazS7Yk9WZYnckLAkjEJaHXfkZqKSN/n00/OA2K9PHSw9ECnBT97e5OpqC4DNWodXLlRj39XSVIa/8LljgGCmPHPozv62Tt/l4s1GfNzNrQ7O0N+Qzxh8+RMH4/v5f/x/X4t9YIWszi8/uwiIIoobG+1ha2xxf7K0y7r5xReXYhm0Vz8e2B6vXNiOfaRRFCINjzN0hd/+zdOkE8KndnWtRaMtdClDUzh9uByzzV682aAz8s2ZIvH9YYNLO80BN4Z60a2/wUatx9q2KJqVZYnTB0u3ETncCbf6PMd6/+OLB5EFo7m9stVh4Ph4fkhn4FLJJSjmTH7w5jrNjkMQhPQtj7lKko4VkE/r2E5APmugyhI9y4sTag/O5vj884sx2VGjY/PyO1vUWhZIwv+w3bCIhmvo4GyOj5+dETbutRqdnsPKdjcOHG/Uelxba1NtDVAVmSePlHn6+BRvXa1yaViY3Bl4LExm4qTMI3N5njs1RfEWPWJlq8NWfcDNrQ624wMiyXR+MsNWo8/19TYDy2OzLvx7+bTBTCXNF15YZKqUojdw+eoPl/F9YQccXSzw/Mn9cY8xxvgw4f22DX6RMbB9vvrD67hD/ePwfJ4XT08ThhH/v+9ejXWdpKny7375FGlT49y1Go4ryJG++eoKnhfSdzwmC0mePFohlzK4vNZkdavLwPIpFRIcmM7y3MlJQiF2RLexCPq2x+pOj0LaoFJIomty7KPYu3/vjUVsN/qs7/Tp225MSlHMmhxbLHLyQPGuRZ6trs1Xf3idzdqAMIwoZoVvJ5fWePX8DvmMieOKmE4mpdHpe0yXk1TySWYqabIp/Y56yLlrNd68XAWEHvMrLy6xvtPD8cQzLeZMrqw2+Par6+LeJfjrv3GKowv39iGPsR+/yHLg1tyGQtag2XViG6KYM2i0RXxkb2z8Vt/42cPl+yY6267PV75/nYHlU20OmCgkOXGgGOchbNZ6fPPVVWxHFB0cWywwU05zbLFALm2wUe2xtrOru19fb7G80eHc1SqWE6ApokvP4lRqGOsoUM4n+NLHD8RjaLQt/pc/Ok+tbXF1tYWmKkREFDMGYQSZhEaERKVgUm3aQETP8liYTCPLMovTWQI/wjREkvfidJaEoX5o7QHPF/7ZkV42WUzGZEFj3I73UhYMbI93rtd540qVRtsmnzaoFJP3jOOPdP3t+oCLq3W+9fKqyCWSQJVlDs/nafccTF2hmE0wVUoShMLe7lkeb1+rE0XRcD1HJEwNWZaYn0iTzybIp3RmKiksO8A0FLbqA1KmxtxkmhMHSqQT2r511ujYokBcVai1LfIpA3XYCeTsI8z5vfstiD3s8Fz+jt/9n75yjss3WwCYusJ/+peeJn+XzqZjjPFe4uehE/y9/+knvHphm//oLzzBr35s6X27zhjvL/7XPzrPv/zWFVKmyn/1tz47JnT9COGjaht4fsC5q3X8QOiFU6UkC1OPn17463/rD/a9/sN/+Jsf0EgeHbfew9/8i6f5wguPVx7ChRt1Xruwm7/1hRcWbyP8etzxoPUGHz4rcAy6Ay92cgC0+85dv3t9o8PeMpybG93bvjMKngIEQcTyZpcoAsvx8YOIdt/FdkVwqG95DByfMIywnIDXh4mOQRhBFFFriUTFzVpPBIMAxw2wbJ9OzxUdPnoOUQTtrkMYRgxsfzgOZ8+YxN8De3QtkYTWucO97j3O80OsYdDnQbB7HY8oglZXjLHecejbPu7Q2bBVH8TPqdVxCKMI1wsggs16/77X2aj2YkeUeD67x7T7u8/fcnxqw4AyMLzn3c/j44dsyQB922d1q/VA9zvGhxujwhwQa/HizcYjnafbdxhYHq4bQiScH/4w8BtGEV4QxI4REHOw2xdMvQDVlmDE6Q68eI20ug4RgjV/YHlxYud7gb4lZFp1KDNsRySbtXo23YFLz/bZqO0Zb9eh2xcMUEEQ0rNc/CDE9UK2GwP8QDiR/OFn3b7DwPFFomsQ0ek5rO+IZ+24fuzE6dseA9sDGN7/w9/jXnkUBJEoSHkf4XgBnZ4T7wl9y7+jzBjjw412z903d7Ybg31zc2B7WLZ47e/Z5/YeI44Te4vrhbheQH/gic5RlsfaTp8gFE5VP4hYr/YYOD62G+B4Aa4bxPvxg8yhvTLE8QNWt/pxsUKza+MFEa4fYrkBthviB2K/bw330vZ9rtHsuViOuP+e5dGzXDw/xPfDuOBqtF79IIz/frfYuz9H0W6rWRCyalTAAeI5dQduvP6aPScujhs4Pu2OFT8TEL9Xz3r49bn39wiCiL7lxQlm8PC6zxgfbrT7Dl4Q0um7RFGE4we0ug62u19HdFyhewMQgeWGBH5IFAmZ4YUhvhcM13xIs+sQRGKPtV2fnu3He9Staz4Mo317YL1tx46W6BbddH3Pmunbfry//jxhuUGcHAG3y8YPM3w/jAs4QOwHI1k8xhgPgrWdXmyzOo5PvesIOxWx3m+l5IiG/4UhOF6EF4REUYTt+PRtHz8IYjtgp9GP9zW4/949xhhjvPdo9Zy4gANgszEgHGYNDmyfZndXN1iv7tdje4MH04+39+i7K1v9ff7GjT2fuV64TybsRae/m3zlBeG+c470GIBa297ng9ys7dG1By6tPXv4qOABhA681di9v726yHajHyd/A6zt7H7PcYN9z2WvDu14AY67e9zec1q2SJ5/WOw9/606096/w1AkaD3sOcd6/0cf7Z4j2K7dAMcN6A5cXDcgjCKRhDi0L10/xPNDukObudGxsb0AyxGdo3uWFyfQNTvOvtiBsKeH8y+CnYZFf4/uvzW8hlgjAZYjdIO+JebeylYH2/UJQyEXml2XZtdmbeir9oMIy/ZotEdxAWF33ElHb/eFP89xg9g3YTmiK8f6Tg93qOc7bogzHEera8fnqrWt+D4Bth/ARz/GGGN8NNFoW3EBB8DWUB7cqpdYjs9Oox/LOBCF8a4b4IciltIbuFiOL5jyXSGDgijCHsYOVrd3Y6zdvkff8ePYw8ie3+tf3Lt/7/X39gYe7b6NZfuxv9fzQ3p9955+je26he0Esc5WbQ0YWB69gTi36/l0hvGQkT4z8k8ObO+uesheGRpFsLrVjccKQie5vrZ772EkCEDGGONB0bP25zZs1Qf74uYbe+INe2Pjt8bcHkSPrrdtXDfA84Ue1eoJu2l0zs3htUdyoNVx9l3rVt19ZUgwFxPjhSGeH9DueDhuiO8HNNp27J8BWN3pioLcrgsRuJ6QE82OyJEY+WVHcZa+JXw49bb4vNqwCKOIdtchCCMcN8Dzw322z4cJA9vbp5fdK3dljPcW3YEX592AmKf3i+OP9sGB7bG+1Y2LExl2yxH6vohFWY7Q5W1X2BrbdeE3CKIIzw9xPBH/C8KIRttmYHmEQ99iq+fE4+gPc3G68dreHV93sBsP7PZdbG9EQhk+kq98734L++3qW7G+J+fGdoO4o+UYY3wUMMobGCf9P974S188zrHFAn3b5x/801fjeO0YY3xYMbD9ffP0cYwtfvWHV257762V7Q9gJO8tvvr9Gx/0EB4aW3tiSCJ/6xfX//uRKOL4L/6L/4Jf+qVf4tixY1y+fDl+v16v8zf+xt/gC1/4Al/+8pd59dVXP8BRPjhSCZW9ZHDpezDF39oOb6pyu4KWTu4eL8uSaHMrgWEoKLJEJqFhaDIJQyVhqJi6jCxL6KrCySFTtyxLIEE+J1i9yvlkzPClaQqGLtoFS5IUd9LIpAwkScLUBePL3taoo3tKGMq+74zY8/aNf897qiI/EJPd7r2LYxPD82eHYyykDUxDQVXEgy7lEvFzyqZ1JImY6aNSuH+r31vZjct72gPv/f0MTSGfNvZ9906dAMrD8/l+SKvn8OO3Nvnez9buO44xPtyY2dNiWpLg0Gz+kc6TSWgYuoKmCRGeHTJWpEwNSZLQFGXfvE2ZGilDi5ks8hkTJDE3R+syM5z/uqpg6Aqp5O1rcYTljTb//OuX+N2vXeT8cv2+402aGpIExaHMMHQFSYJM0iBpqCR1lYk9402bGpmEiqmrKIpMwlRRZAl92A5cVYS8kmWJpKmSNHUMXaxXWZIEe+DQWDU0JWYiSRjqrvyQ7rz27oe9ckxc/+HP8TDQNYVUUosZQhOGcs89YYwPJ3JpndSevbiYMe84Nw1NQVEkzOF8ztyyDotZsU40VUZVZFJJjYShYBoqk4UEsiTmpSxLlPMJTF1B1xQMTbQaThjivA8y9yeKu2tSVSRmKilKOcFOk00ZKLKEpsoYqoKuyvG482kx5vvN01xaRx/us0lDJWmqqIrQP7JJHdNQYt1AliUSD7H3X7rR5He/dpHf/dpFrq41931Wzu9h2JHYJ3sSppArI6QTGumEFutk2aSGMRyzoSvk0galPUyjqaR2Rz3mfrhVT0uY6r73xLMdd+P6qCAMI167sMVGrU+1OUCTJTJJHVNXye3pRqdrEE8+CQxVQpElJAkMTUWThRyQJaEfZ5I6iiRYtDVNIWmq8bq5dT2O9s8Rchk9ZqlG2j8ny7ndNWLoSry//jxh6so+Nq694/uwQ1Vlcuk9NlBSw9Q/Eib4GD8nTJeSsc2qaSrZtBbvn7qmcCuJvMRu/ZeEkDlRFGHoKqauoCgykgSJhEopl8TY01FurGOOMcbPH/m0QSq5uycXszqyLPYJUxN2cLU1oNoa7O+E9RD27EiHB5gqC5thhL26sarKsV19K/bquJoiU8jt+rVGegxAPmXuG2d5z7WTprZvD58s7eoUkgSVvX60Pd8r5RLoe/bOvfq7pspMFc07Hqep8l1lnHGLbvGg2KeDSPvPufdvSWKfrnUv7LUTVUUe6/0fcaSTOooso2uy8PckNDRVRpYkTEOhMFwzqiKjKDIpQ8zTXNogGiZN1ds2REN2eCCb0vb5DkSXvt15VMomSJh7X4v1qw/9BCP/w8hfMFVKYWgKsiTWeyapk03pTAzXqKJIGLpCPqPH50kY6m3+CxDrQpElNE2sx5HPUZYkJgpJNE34NjVVPBPhK9Rjf34xl0BRdoVWKXd/H/0YY4zx0UQ+Y+yTByNfhabIlPboM4amUM4lYhkHghVUU2UUWYbhHm1oKrMTaVRVRtckEaM0VAxdZbqUis+XNDVMXYnji6PYwt74316/3cgHW29bXFxpsFkfYDk+iiJjaiIemTTVe/oPywUz3hsACmkT01BJD32nuqqQSekYmhzrM6NOSAlDvasesk+GSjBdTu5jcE8nNeYmdu9dknisuqCO8cEjae7PbRjZAq7v89qFbV6/vMNrF7bjQoCRPZN+hJhbIaOjqkKHkCQpPsdIJx/ZFqPOw9lhXH6kr6Ru0d0nSyJ2O5Ibiix0sWxKRdNk1OG60/esmelSGkWRyKRU2JNTkBn6d0dyYTIv7J6RrpVPGyBBKW8iSZBOaciSJOJFiozxIbUHkqa6Tw4/ShxkjEdDKqHt89nrmnzfOH6s6xsqU6X0vrWpqmK+SbLYv3Rtd18xdJVKPokkSyiShKKKOGAUhgwsj77t47g+siRyD9IJjaQ5zMUZxSKS2r5/QcQAR3aH2IfF34oixWvjYWDs2edvvdatGK1BEGt8vvL4MYWPMcadEEVRXMw8VRoXcTzOUBWZ/+wvP0vKVLl4s8k/+7OLH/SQxhjjnhjl6o3wOMYWv/zSkdveO7sw+QGM5L3F556d/aCH8NC4NX9rr7/lFw0fTkvwIfErv/Ir/PZv/za/9Vu/te/9f/AP/gFPPvkk/+gf/SPeeust/uP/+D/m61//Oqr64b7tpKlxbLFIo2Nj6gqTxSSW47O63SWKIuYmMhiawqsXt2l2HI4t5EGSSJsaxUyC6+ttFqYy+EHI6nYXPwgp5gxURaGcM0kndeSnJFa3u8xPZGh2HWYrISCYOjs9j07f4VNPzXH6UJk3r9ZZ2+mSTqgEfsTyRovji3lKOZO1nS4REZmkSq1lkU6IgLOhyWzW++RTOodmc1TbFt9+bQVVUfjc8/NMFhK8cblKq2uxXu1zebXJwZksz5/abYleaw1443KVMISZiSSGovKzKzu8dbXKkfk8Lz0xyzdevsmbV6rkUgb/9ueOkL6l/WEln2Cz1qNnganLbNX7+EFArR1wYCaD7YZoiszZw0UaXZubWx0c1ydlKvQtj0ohge0EfPOVFVa3O5iGxq9+bIFcer/QWJzOslXvc2Ozw0wlxZH5PN2By3q1hzx0xqiKvBsIkyX6lkc+Y5C7pagD4G98+QR/+KNlLiw3qBQTtAceF240WJjKsDQtHKer213OL9fRVYXnTk7uc3Q9LMIw5NWLO9RbNtPlJE8enXjkcwE0OzavXdwmjCKeOjrxkWt19Kj4858+iK4r1FsWTxwq72tFbbs+K1tdwihirpImndRxvYCVrS5+GDJdSsVzRddVPv/8AheWG9ieTzFr8va1OoWMgReEKDJ84uw0b19v4Ho+RxcKZBIajZ6DqSocns9iexFrO12my2l0TWZuIoPjtri+0cLUZG5stMilTQ7O5vjc84sA/OzSDlv1AeeX6yiyYOd+43KV3/5zp9iuWfQsj8NzObIpg+3GgKtrTWRJJF/rusJUJcVOc0AmqVDMJsllDHaaA/5f/+INJovDBHRJQpIjfnxuk4WpLGePVAiDkHeu1/nemxtMF0yOLhU5OJPFcjx6A48zh4ocns1wc0uwacxPZvjOmxukDBUviDCHay5hqBSyBqWcSSmbIJPUCcOQH7+1yXd/to6iSHz2mflYDnl+wM2tLr4fomkynif+nS6n6PZdXF8wdixMZpBl6bbfyvNDbm518P2QyVKSQubB27Ou7XS5stJCkiUOzGTIJnXafZe5SnpfMdAYHy78vf/px9zY7DCRT/D3/v3nMQyD9WqPbt/jxEKe7/xsHVmCo4t5vvbTFSSg0bXRNYmzhyvomko5bwo2Wddjec3l0s0muibhehGKIpFOavi+wuG5LK4XMVlKEgYR5mSGX8ubbNT6zFXSnDxQIorE+Zsdh+NLBfIZE1mSmC6LgFy757BZ7+P5EReXa/Rtn7lKhrnJNCeXSqRNlYET8NTRCsVcgk88OcdbV3bwvJDLqw1ev7hDQpc5fbAAssKZAyUsNySrQb1tUW9bSJJEEESoqkQQRkiAhPh7qpTg7et1cmkNVTHpWx5zk2k2631SCY0zh4ooikIlL4Kvd5OJI7x+aYfNao9zV2uYpoKEzI/e3ODgTC5Ohnvy6ASaqtDuOeTSBvWOTbvvsjiVwdRVji8VqbUsZBkcR1xvspgkjOATT87wo7c26QxcPntiDl1X+YufO8b331onDEJeOjuDotzZ4dzpu2zUeiiyxMJUdl9CWSWf4M3LVboDlzOHy5i6ytJMDtNQ8f2QSiGxzyF9PyxvtPn+G2vIksznnp9nqpRmbbvLO0Od4ZmTk2Tfhc4wxsOjb3ms7XSRJImray1Wt3sEQUigSAwcn95mg7/8dy/hOB5hJAqiChmNalOwWkmyKOJSZIgkiWxSY2AHJJMp+gMP1/dJ6BrnbzSQpQhDU6m3LeYm0liOHxdJhVFErWnR6jmkEvow+cpgupSiNeyAk08b+xKw/u0vHOMf/cE5bDfgyy8t3aZrv18Iw5DXLu5Qa9lMlZKcOFBkpzFAVYU+/Tjhl59b5NzVKhFw+mAplkdjjHEvDGyXr7+8QqPtUMknuHCzwXZ9QBRFuJ6P44ekDBWJkL69S215S2MOPD8iCn2OzGVBltisDihkDf7CLx3l5MEyrhfQ7jlkkvodHWOuF7Ay9Cncae+9FVEUxbpPNq0LAokxxhhjH/auk0xK469+8Ti//93ryIrMn//0Ib7z+hprO10OzGXpWS5XV1tIkkR+SeUrP7hGs+1w6mCRpK7y2qVtDF29zU/1xz9c5idvb5BO6vzFzx3h2lqTnuXzxRcPoGsqb16ukknp/PVfO8Lvffs6jufzy88tcOFGg7XtHoWsgWnI/LM/vUwYhvz6Jw/S7jlcW+8wV0lx+kCBf/GtawD8hc8c4pXzW/Ge/e//+TN8/ac3URSZL318iZtbXZpth7nJNPNTGX76zia6qvDS2QW+9vIqjbbN6cNlynsSK6ZLKbYbA/oDj6MLBQpZk1cvbJNPG3z++Tn+9CcrdAcen3hiZt99TxQSnLtWxXFDPnZ6CmVPoUY2pfGd11YJwpAvvLDEm1eqbNUHlPMmJ5YKbAwZn+Ym0ndNHJsqpZAlob/l08Y+P9xsJY2qyNhuQDFrPjDhw4GZHIlH0Ptv9RM/CknFGD9/zJRTbDf6qKrMxmor9v13ujZuEKLK4Hk+fhhxYCpDpZhAUxVKOYOfvL3FVmOAJAlCpuX1Do7v07ccXD8QRZ6SIBoqZEzaPYeNWn/o6/ZwvAhDk1jZavMnP77JVDHB08cnWKuK76iKzMD2+XOfPMi563XWa33yaYN8Rsd1Q54+MUEhbdB3fE4eKHJltcWVlRa5tM7JA0VaXYda22K6lCKb0kV3UNtH1xSePjZBEEZEYYSmKiRMlXxaJwgCdpo2h2ZzmIaGrsqUCya1psXadpdcxuC5k1Ns1/sMHJ9sUpx3rF+MMcZHH1EUsbbTozfwyGV0giCk23eodxyePjrBi6enAZHw/RufPMif/GiZetvhzOESCVPj5mYHRZaQdZmPn51lbjLD6xd3iCJR4KqpMumkKKQr50wyqVAQ40jCr9Z3AqaKSWYqKRRZIYpE4metOWCn0UNTVQxdIZ3Q0XWZr/7gGtfX24ShIK65ttbCMBRyCR0nCDg2nyeIIqpNi8trLTIpnV7fYXWnx05rwFQxxbGlAqYm9LuVzS625xMEEboq0exYVJsDqu0B240u6YRBMW8iRTA/lebIbI5EQmNhMkspl7ijHvLUsQl0TWGr3qfVdXjzao1DMzks16fZdZAw+NJLB9FUma3GgNOHypw5XNl3jq16n2bHIZlQmZ/IMHB81of+roXJzEMR8N0Nm7Ueb12toakyzxyfvK8NOoLrh7x6fotO32VhKsPJA6V3PZYxHg57cxu6fdFtYr3a5cpKk62GRSapoakeza7NwlSGjaroDjpRSPDmlR0aHRtVkdmu98mkDCaKCWbK6Zg4coSLy3V+en6LIAiZqYhCilpzwNvXqhxfOsq5azXWtnucX67R6jhIEqhyBFLE08cm+PFbG1RbA7YbAwxdpZxPcGwhz1atz+H5DDtNB1kSJFnFrCnWuSozVUzw+qUdVEViY7vHWq1H3/LwAyFXDFUQsv3SM3Ns1Pp0ejbrtQGO76NpMDeRJ5PQmJ/IsLLTZWB77DQHGJpCIZPADQIOlHMEQcjyRpsoipidyEAUsVbtId+yzupti2rTQtcUFqYycVHXRq1Hu+sOC7PSMUHcXni+yB9xvYCJYpJUQmNlq0MQRsxW0ncsztVUhRNLRXaalngej5l/9nGF6wVs1fooksSTRye4utrENFROLpX43utrfO2nN+n2bJIJjc8/P8/iTIHV7Q6yJKMo8JNzG6ztdCnkdAaWTyFt8sKZCq+drzKwfMysgYSYT4okgSTR7ruUcjpBALouo8oS69WeIErQFTp9m2pTw3J8jiwUMDWFG5uumM/DvKYfvLHGtbU2jh9wdK7AqUNlTEPB9UIWpzL86NwGA9vn5FKBH7yxgesHHJkTe+W95uEIiiIzO5Hm/HJ9WHiucfFmA1WRyaY0Gm0HTZVZmMryV37tFF/9wTUGlsdLT8xQzD96fCMII1a3u9iOTzFn3kbyOsYYP080OqJDlCxBJT+ei487JotJ/o9/8Un+H//kVf7lt67wxJEKTxyp3P/AMcb4AKBrCu2ezQ/e3CBtavy7v3bqgx7SI0EHRj1Ekh/uNPK7YmlC58bObieUjz+58AGO5tEwX8nw3/3rN2l1XQ7MZPnLXzzxQQ/pkXCrv2RvodOD4jGdhvvx3HPP3fH9P/3TP+Wb3/wmAGfPnqVUKvHaa6/xwgsvPPK1oihiMBjc/4vvEqoEEznx81iWxblrdVxPsFM02n18P+TqWjv+/tPHynQGHtVGNz7Gcvy4NaGiSJw5WETGZzDwKWUU0kaGd5YbGAWdG1tdDE2h1bHp2x6ThSSvX9zk4nIVxwtIJjRqLdEmvdv3+OMfLZMyVdEW0fJYc3xmSklWtzrMT6ZY2epTyBr4nsf6tsxPLlTxh+P/vW8MOLFUoN7qc2W1PQwK6ZwbuPzxD67wmadnCcOQr/3kZtzqtNbqYWgKV1daAGzsdKk3u3zvTdHOaLPW55/86Xn+vS8d3/ccN2p9uj2LZnvA5ZttkqbCWnVAMbvbkSOVVLl0o4Hl+FRbNooM1ZbDTDnBtVWbgWVz4UYLXRWsxr/Xt/mtL+yvyhOtW11mSiaEAddWamw3rbh1bNJUObFUIPAcBh6kDUgbGhDecT7JMvzmJxbxPJ+17T6Dgctg4FJrdpnIafQsl2+/ukoQRMPfxOJzz809wkwTOHetzvllwVa+VeugygEHZx6dZefPfrwcz71qo8+vv7S4j9XnFxWqqvKbnzx0x8+urLawhi1DL1lNnjxS4epai95AtNztDTyeOFKJA/r5jMnHzs4A8O3XVgnCiE7fw/F8dFXl3PU6SUMTbXstj2LO5MhcnqeOTfDmlSq+H9LuuaxsbZJJ6fQHHms7PToDF9sRAYLJYoJm1yGT0MlnTN65LrpubNV7NDpOzGLzv/zheU4sCaf4erXH4mSGjXqfzVof2/VRZZlSzqRne8iSRCGTRELi6koT2wto91yWN9pMFJN0+g69gUcqoWG7AQuTGfqOz/JGh57l0enZuH4kqIWRcL2QWsvm+VNTTJXTbNYH1FoWGzVR0FHMJQTzVBRxbLEEkYQsSXEnoXeu1/njH92g0RXtlv/w+9eoFBIcmMlxfb1Nu+fiuD4r212WpnNoqkwha2K54hm5nmgxqylK3DJW/FZlljc6tIbtbfcmZ98P1abFm1dqNDtiTI7r8+LpaU4ceLCAxRgfDP7fv/cG71wTa2R54PF//yev83/4C0+yUe0TBAHfem0dQ1MY2B7feW2Np45McHGlyVwlRT5jcnWtzS89O8+5qzVSpsZbV6v0LR/TkLm23uHwbI6B45NL6SxN51jZ6XFgOsd6tUfK1KjkE2RSOr/ywlKcrLRV7+N5IemEhuOGJA0t7tLj+QFXVluEYcRPzm2y3RyQSmhcWG7w8SemmS6lOTCb58h8Ib5HXZV59sQU//2/eoPNqti7elbApZst/uLnj7HTtDgwk+XqWovisONPs+OwNJ3l+kabiUICxxOMPRPFBD99Z4ti1mSnYeH6AbOVND+7VOXgTJYogpWtHp99dj6+/r1k4qUbTc5fr+MHAas7XXJpUSRZbd3ecvTUwRKuF/DmlWrMVu4HIccXi3H3jcsrzdvW7zdfrmHqKqYOb1yucmAmRzat82sfP3DPueEHIZdXmrFO4HotTh3cDSS+MgwwArx1tcZMOUU5n3ykxBTXDfiD71zD8cUe/C+/fZW//uXTfP/N9VhnsN7w+dJ9xjzGe4cwjLh0sxm3Ff3puU16lpjH3b7L9fUW67UBlu0Pk68jXN+nO9iTjB1CvWOjqwoTRZNW3yMKwR24BCG4fkCrK+ZQGEXIkkdy4NHq2nHBqChOkuj0XVpdh3zGiBO8dE25a8DhtYvbLEwJdqprGx1OH554YGbpd4N3lhtcuil003rbImloHFsq3OeoDyeSpsoLwwSTMcZ4UHzjlVUu3miK5KWtLu2Bi+X4eH5IOGTfbvseD9JZ2w/h4k1RoF3IisJpQxt2d0toMWvrnXB9vR3vUd2+yxNHKrENcCfsNC02qqLVbXfgoqnyOKA5xhi3oLpnnbT7DgPL56UnBEPSy+e3h8k5War1AVfWWjEL84/ObZMbFlP+5O1NLq80mS4LffH3v3s9DpZcvFHnqz+8ThRBtWXzX/3zN4YJcAo/PreJ7QRxQt5/868vCFZq4F99+wpPHJ0gl9Spty2+9eoq4VBZ/h//4G2OzucwdI3rGx2+98Y6CUMkB/6TP7nIU0cryLIc79mjsaxXe8IeSQqfousFLEwKveKbr64RBBG5tMHqVndfYvbqdhciwTh6c6sDwFNDspE3rtQ5PCd0goHtY7t+bGf/6Nwmli304J+8s8VkKR3rLV/5/jLdoS3xz//sEoszOVRFotYasLrdZW4iAwj/yVPH7k5sMnGXrmSSJD1SIpMy6pj8kLh8s4njiXvtW02ePFp5pMDAGD9frGx3icKIyysNLq+1UGWJvu3HicO24yNJEoau0ug6qLrCs8cniYjYblj4fgSEbFs+qgKqonDhRoutujXsxKcxW0mjyBKKInF9o43j+PQsH1URXf1cL4wTka+stZgtp1nb6aEPu/1+962N2MZtdmyurLbo2x59G04dKjNTSbNZ69HsOHEB6MvvbLE4JB3qDTymS6lYzoHoJLJXH7ix2aHVc2Hon5sup8gkDSrFBJvVPlfXWliOz0w5RTZtsDidY6PaY+D4DHZ6Y/1ijDF+AbBVH7BZE3KkNUwOCcMIWZK4tNrks8/tJia4XsjcRJa54fb9yvmtuHshkkiunp/M8NLZWd65Xmer3md1u8cbl6ukExqeH2E7AdmkxsUbDVRNEMpUm30cN6CcF8R5sixxc7tLZ1gEHxJRyiYwDYVzV2v4QYjtBRiaCkSoA5l0UidpqKiqTKtt0+q70HP5/hvryJJEhCB+qbUsqi2LIIxYXm9R7zh4XkAQRsiqxPJmV3T0kCTaAwddtajkk6iKTC5t4voRRV0jaWq3JbzvxamDJVa3u8PYsc92Y8DSTBZTV2l2Hdhs86WXDt7x2FbXYWVLxJ+7AxdJglrTjv1dtutz9vC7SzSzXZ/vvL4W+zD71hq/fpd42q14/eI219dFzLzWssiljXHR3weAbEoniiJ2GgM26x0ur7TYaVo0OrYgUEzobDUHQ+K/gO7ApdYa0O17rG716NsehYyBLEs8f3Ka3sDjyaOVuECh03P56o+W98TGPRw/iG2ff/ZnF0kndC7erHNjs0sUIYh0IvBDid/52gUUSWZluyv8o2mdzVpfdBqIIqJQIZ82kSXwvFAQX4QOCUMZ5mRIuJ7HpZst3CCk2bFRZQlVVUiYGieWSvgBHFss8fI7mzS7LrIEYQRzExFHF4o0OhYSEldWW7R7LumEynbDYqqUZG2ny0a1RzCMI3QHDSIioqHvx3EDzhwuM7A9rq23Y+dxFEUcmstTb1usbfeGx7qoihwTeu3Fzc0OjWH8sTNw0RQZb9ghpTdo7nvme5E0NZamx8XjP0/s9cutV3scnM2jKjLfeGWFla0OK1tdQe7YtviTn6yQTW5zbLGA7fj89Pwmvh/SszwkJEr5JKcOFnnjUoOBG+L5Idt1i2bPJZPQ8IMI2/PRFNHpKQgjUglRrOH7EZoqdP1WEGLqKl3Lp2/5JBMq23ULQ1d45fwW1eaASzebDBwfTZVxvZDJUoqTB0ukExrfePkmfUvkQ/zB95eZn8hg6AoXbjR45lgFQ9eEjXukso+YYS88P2Rlq0vS0PD8kB+9tcn8ZAbXC3jr6oC5irDvwyjiyHyBf+tzx96T32Ntp8tOQ8RGO30XU1fvue+OMcb7iY2hrjxRTD4UEeAYH1584olZ3nixyp/95Cb/8Hde47/+W5+Nc5rGGOPDhJubbb7205VhLqLP7379En/zLz75QQ/robC6uoq75/XA/8CG8q6wt4AD4H/41z/j//LXX/qARvNo+Pu/8wq1prBNrqy0+MdfOcdf/40zH/CoHg7Nrr3PX6LIUhxvehh8JIo47oRms0kYhhSLu0z3s7OzbG5uvqvzep7HhQsX3u3wHgphFHFt3d73nuUGNLpB/Ppc0N4XrKvqMo4XxsmJAJK9Hbf63Gl71DsezV5ALiGz3RbBn1rHJwhBCvrISNhugDXw6ds+YRhi2S6RFrBTE44FSYKBHeAHUI1sgkjCd7r0nQjflUnoMk6/TqPhxePo9kCLenQHAY2WheeF9Ac+hqpw8eoqk4kOnh+yvtHdd89BGNLp72apvHGxgzXYfQZrG85tv81mw6UzCNhqunS6Pp1uhDUIqXsWmiZjDyR6XcGkM3ACLDfCD0IsJ2KnaoMk4Vhd+n0fR5HwPRnH7nLhwn4JXut41Du779WrMgN7d6yyLIG1dfcf+S6Q3T79nk0QQcqQaFfXuGBt0+z5bG/vBsM6bYkL6e49znRvXLzZp9baHf/5Cx2c9qO1KArDkNX1/WN5+50Bhj42Hu6FUcESQBCIrjj2nvfCMMLzgzsaYX3LIwyFrAhCcHxRYJAwNBwvIJXQ8LwAzw/xgzAO9INgb0wlNAaOh+cHREFEGEYEYSiKJRBM/vKeNrnFjEG1bQEKuZSO5ezOHd8PsRyfge0RRRGeHyKpEo4XYDsBqiLhByF+GOL6Qdw62fUDEehwAiIgigR7UrPn4vlBnPwchBF920NRZNThmGw3IIwiupYXBw1cPyQaPssgiAijCC8Qz6/ZcehbNcIoYqPW3/c8vCCk0bE4MJOLn7/rC1k6Ot6yvdhJPPrtAmX3tfitQmx397lEkQgomQ/gy7FdH8/fMyZfzIVx8/IPN7Yb/X2vmx2bgeOxVe/TaNtCWUuLbjmeJ+Z/GEbx/OtZHo4bxPu27QYEQYjrAsP14PtijXh+CBH4oTiXp4pzjGTHyLG5V66Ic+7OSdcL43XVd1yCMCQMxbrpDTwosU8G7cVaff+9Wq6P64vz+X4YjyOMxJ46WsOeL/52/RDbDYdBlAjXD/D8QDyLSARISEDP2m903Esmdgai4EKWZLIpHT8IkYDFqQzDqq99cL1gn47kOHd/VqP1O3Isgxh33/IeqDDL83ef9a3nBuLCFHEx6A48yvn7nvaO6FluXMABMLA8Bra7T2aNCgjG+PkgCMN4bwLBXiVL0rDYQkKR5Xgv3Itb2fSDICKQIzyX+PvecM8mgiiMkGQJQkBmuI+LuW85Yo0qshQH5Eb/2q5/z0DD3vkSBBED2/25FHH0+vvX/2iNjzHGLwraPbEGogicICQIQ5FQMBIOkUgCeFB4Q/0bxHG1tn2fIwRu2w/98J5FHLfucbfqImOMMcb+dRKGEZbjkU6KRJhu30FVZCRJwg1CpAiC4cIP96gLUQiDPXZ4d8++ub7d26fnjsgGAPq2sJlH69iy/bibhO+HDAYuueFr2/HQh7quH4S4boihiySogePHRRwioSNE1/fr5eIce/VnYdeOmKE7PXcfW3Ov70Fl9Iz22MNDQpjh5egOPNIJMcYoEjrNyM7u9ffrLZbjxXpLb89zGDgenuejKpqwf/boO54fEoQRyoe4ICKKon1+DD8QYx4XcXz4YTs+fduj2hBFTZGqEIQRvh+g62pcOCX8clFcwOn5PqNmbmG0S2wy+q74ToSuicQrRZKRZbHuvCAiIhoWfgp/nxrJBKFYX6P57w99gO3unjV8m09BvO709tuU7T0yKAyj22z5u/kmRoRVI3/lyDaObZYgfKDzjTHGGB897NWXhC9i1wfnuAGu66OrQgHYuyeC8LMVs0ObJRLfH+kfjhvgeiFBGOAHEX4gZKjrB7iBQs/yUN2ApK6gaQqOJ3yWtutjaDJBEIrjQrH32q4v/J9D0qlo6K8spM2h7IooZA2QJKEXDXU0y/XQFFHsAUIeup4Ym+2NYhIBsiySX4WP2MfQNaJw6CMKI8Khz2mvj+d+2Ksbul6A4wSYmjo8/u7y9dZz9y1/n7/rXsc+KEbkYiM8jA9zr64H0Ok74yKODwijeOFg6EvXVRlFFt26DU0mbez3KYyIlNxhMYbtBiQMFccVurznh3FBQbtv75sj9Y5FKrHr12x2HdIJPb52MDSinKHOUW/bTOSTuMN15rgByYRMb+Bh6GLNS5KE7QVx8rkSCl+IhGD/7/RF52TH9WM/iaoqsSxq9hwKWTNea0EYIUkS3aH+NPL3xHqQJ2ypvu1RDE0sz98n7ySJ+P5H69Bxg33O49H6G/0bRRFbjQGNjo3t+ixOZffZCtbe9RwJuTC65ijGc6cijjF+/tgrex1XxNFFB0hhV4RRFM+FgeVhaCpBGGK5/nCPi4ggtjPqTYsghDAQfsYwiggDMdcjIgI/RJYkZEnE7RodmzAIkSSZMBLzWVVlwkgaxh8Cgr4fFx4FYUS9bRFGYi5FIVi2Nxy/Tzqh0dkTD3O9ANf3MXRF7EneyO+wP9Z5K/bmDfhBEK9pzw/x3Pd2b9qLO9k14yKOMT4orO+Ior2Zsb7zkcJv/+Zpzi83WN3u8l/+89f5v/6NF8f+vo8Yoiji5laXdtchldA4MJv7UPuh74TtprUv/tDpP34x/B+c79z23k+vrvLC4fk7fPvxwfWN3gc9hIdGs7vflh8VKT5OuF1HfDQd9CNbxAHc1iIyih4iy+Eu0DSNw4cPv+vzPCyS+Q6NjhB8ubSOrsn8+O1tGLbx/czTM2zUBvHEWJhKYzkB1abonpFJahyZzyFJEs2uw0DqkMxFSDs9EoaKmY0wdYVC16bRdihkDHJpncXJNP/iW9dRdRfXt8lnBQPF6YNFZEXGsn0cN6Bve0yVUtiuz5H5PBduNMmnRYvRF05N8IO3ttlpiLEcmstwbCHPzy7XCRWLyystsmkdTVP4wieOxB0gmv46W3VxzEwlRS6l8a3XNiACXVf40sdm+d2vX487Pnzi6RlOnJjd99xm+y5X19oUKx7+tQbZhMbKTo/JQgI/CJkqp0gaCmEoAtYrOz0MXWazNmBxMk134HFsMc9rl2pIkWgLdeZIkRMn9ne9GNg+l1YEo7kkwZG5HBv1QRx8migkmJ98eAV6YsZmfr6N64dkUjonFgtoqkj26wRrsbPn2EKeE0fLD33+EfKVPj94c5MwAlWV+cQzM+Qzj95Osulvsj5kXJssJnjyidn7HPH44P0q4qrkE2wP2RuyKR1jyPg0YpxKJbS7JgsfmMnR6joYuoKmyuRTBqoqEwQRlXwCSRIMKcWciarIQyYpsbbmJtIEYUSlkKSQMYQDVIpwPYl0QkVVJE4fKpEwVK6utQiCiLnJDElTp+94KLK8j723kDWplBLDoiuXXEpHlmUKWYNMUqPatofsgKpgBO86DByfcjZBylQx9BSbtT6SBPmMwbHFAp2eKzqVuD6GpjA3kUJRFFpdh67kMVFIoigyh2byXFlr0u275NIGEhJJUyVpahi6gjF8ft2BS2KYLCIBpbxBf8tDlqCUS3BkThT/VQoJ1rZ7JE2VVFKLj58qp2h0bDrD9VfOJ1AV+bbfqpJPCgZRIGGqpBIPxlBTypnk04aQHxIUMsa4yv4xwBdeWOTySpswDEGCF89MEwQR3YGHqsqYukJERDqhkdAVTF0hlVTJpsRvuzSdJZ3USRgqluMzWUxSb1kYukoqoZJOaCiSxGRJtLdOWiqGppBLC0Y32JUdI5RyJjvNAVEkiglLud21mjDEnOxbHgsTWS47LVRFJmkqzJQFo2Ulf+divl99YZGL15tx8sjB2RyZhIbrBeiaQialk0nqgiVquHemhh0uDF1BUWSyScEMZ+gKhYyB4wWkE5q412Hi2MHZ/L7r3ksmjjqAAMxOpFmczlHI6EyV0nd0biRNjaSpMhh2QBp1KNm91u3rd3E6w5VVcY1izqTwgOvS1BXSSS3WCW59rgdmczQv7ohxJbQ7smM9KIq5BNPlJJs1sZ8cns2TT4uxNocBsaXp7COff4yHh6Yq5DNGHJB8+tgk55fr+EGEoSlIQLNns9PYTage1U0GEchAJIk1m05oJEwJPTKwHR9TU/D8iO7AwdSVYdBQdJzSVVnochJMlVIUs2ZsC/Vtj0xSEzpD+t7z+MB0Nu6IUcgY5NOPrh8+DA7M5ri+0SaKREfBAzPjeTvGLxZOHiiyNSyarOSFDR6EDmEYEEbC16ErIsn7fsUcsgz5tEFqmMicSqicPvRgtmOlkIwDQklTjXWOu6GUE3ZGOEwmvleXjzHG+EVFMZdgZ7hOdE1hbjIT+/KOLxbj/W+ikCCXNugPEx7yGZ0wEoULhqFweDYf5+0cX9olsHn2eIU//umNOHHp9J4OcItTWTZq/TjR7/B8Lva7lYd6JAASLE5n2awP4s8yw57imipzaDYXdwE7MJPDMNQ77tnlfIJGxyaKIGFoZFJ6nKx04kCR5c0ORGDoCrMTuzpwJZ+gb43uW+gq/jBZ6+BMLk4MSwzt/RGWZrNcHuotxZxJLrWr5xyezXNlaC8cmM2RTukEgSjWODS3S5lQzJkf+sCZJEmU84m4Y3I+Y4xZFx8TVApJzi83yKZMam2bKIpIGgqSrInFHalij1cVTENhppIim9aR0JmbSLNe7SEh4/kRiiLjByGmPvQLmBq6KshWUqaGrMis7fQhsolCBU0TxeTWqNuHJrpZTJYSdPqiUFuS4NTBXXlSyBhs1HoEgfB3j3wK81Mp3rqmCNklifU8QiqhMV1O0x0076oPVPLimtmUTt/2SJoaubTOVCnF5YF4v9VzSJkaqYTGTDlN7x7nG2OMMT56GO1z0VBPODibizv8zE2kY98hCFtHHcbMRn7KkQ/G0IWfcoRKIREXhOQzBoosoSoGuq4QBCGmoQiyjSCilNcpZAySpsZMOUXX8kgldfxAxFI1RWGqlCSKJHIZnYEtCPLSCY1CzuDoQo5EQmdhMoPnBaKQz/EJg4ipYhJFlnG9ANsdkE/rlIY6SNfysOwO+bSB7QakDRVFEnGObt/D1GVMXfiF00mdlClYwIXv9/7EbAdmsly8IfSliUKSUsHE94SedTdfMAh9Y6PaF4UbEkyXUsjSbkL6vY59UGRTOqVcgnrbGo71wWmtDs7m2WoM4vjx/COwXo7x3qCQNdmo9pksJlivdpkqpQijiJlymnLe5JkTUzS6DkSiOOHkwRJvX6uTSxm0+w6FrIEsSWTTBumkhqnvxjsmCylKWZP6sIvEU0cnWK/36Q/97k8fm6DddZmbSLPTskioKpYbUMoaKIrEi6emub7RppAxcb0+pbxJGEZMl1NUmxalrMnA8cil9GFcXiOhq+TTBpIkCOrSkxlaXQddlXDcgFRCJwwiyjnhhz19sIjthhyeL7Be7aMqCn4Qcmguj6JInDpQ5I0rNUo5g81aQDqto8gSkwUR9ynnE9SHxBul4TlHscjKsBNZZhhXGdmRo/VXyBhs1vrUWoJULDeRptq0SBjqvq6BlXwiZoo1DYVywYzZbzNJce4xPhwo5xPx/jdVTMaEDAuTGaIwpNF2iKIQWZZYms6SSekoskwmqVHJCZ3b9Xw0TUZTZZ48NsHL57cEwZxvk1AVTF0lZQqCA1WVicIIUxd2SdKQsRyJlCmRSeli/40EiWRERDmXoJgzuXijDog98OTBIoMLVYIwRJIkZicy6Jocx0IPzmR5+5r4/nQlFdv006UUqeHft8Y6b0XCUOOYm6GrTA47ZiYMlYni7n70XuxNe1HKmbR6Tpyfdb/YyhhjvJ9Yrwqf/bho9aMFU1f5O3/lWf7Wf/ldXru4w1e+f40/9+mff37qGO8fqi0r7urkeAGGrjA/+XjZLicX8mRSGt0hodLe+MPjgn/nV07xz752dd97j3sBB8B/+KWzH/QQHhovnpzkj358AyJQZJlfeWHxgx7SQyOfNlhXesN8WxFPexR8ZIs4CoUCAI1GI+7GsbGxwfT09Ls6ryRJJJPvb7vuKIpY3uhQb1uYusqRhTwnD03GRkE+I5wF5YJwFEyVUqSTOlOVPO2eEzvvAKYrDkEYxQnBv/fNy6xXexiawiefmCGXSdDte+QzJpIkMV3WyaYEI3+n7/Ozq01s18dyIzJJHV2TyCYMJstZyoWEaGsqSWxWuzS6Ls2uw+pOn+7Ao933sF2ftZ0BA1e0500ndE4dnOT04TLTEwW6AwfPD1jf6dHperxxtcW1jQGffXYeTdN469o6kiyCxy+eXWC6kqPasjgynyOXTvCflIq8eW2HiUKSUwfLNLs219fb2MPWjsmEykQpw4lcgmdPzdLq2CQTGgPbI2GoJA0NSRLt5IMwGhakuKRMkdg6etYvPbXIjY0W6aTBsYUC71yv8b99/TKuF/DU8Qn+wi8dJdtw2G5aeF7A8raFqWscWsiSMjVyj2jEVdse3/7ZFt2By5H5PC+e2d00vvypo6xsiXt1vJDzN7scmMk+kKN2hIHtcWW1hesFPH1iWhi3pRTZ5LtjDfjcCwdY2RatahenMsjyOJh8PyxOZ8lnDFa2OnT6Dm9dqXFkIU82pROEIvH78mqTncaAVtdhsphkdiLN3ESGUwdLlHImnb5LJqmhyDKKIgkmxmGr3r3OhHzaYGW7S7UxIJcWBVuyLDGwBGvHscUCx+aLVNsWuq7wgzc2aPddUgmV+YkMmipzZF6i1XHYbg1QFBEIPnu4xKG5PDc3u7Q6LhOFBJmkwexEmoMzWWzX59uvrdHpucxPZvjNTx/kwo0Gm7U+r1/c4afvbCFJMFVMcPrQBIfmcsxPZrjQr5NJaKiyxNHFAr2BR7XZw/NDClmDzsDmq9+/RjFrcmS+wJMvLbFZGxBEEaosE0Uhazt9Lt1s8NLZGeSeRKNtc22tRd/2OHuowrPHJjENlYlSkksrDVRF5sh8nuNLRTaqvZi16+h8nolCknIuQbvnIEkSpq5webU5dO4aHF8qIssS0+UU6aRIbM+njQdOBEmaGi+emabWEm2VK4UEuqbg+SHnrla5stbC0BSeOFJ5qEDGGO8vzh6skEpI1NsBqaTMS2dncVyP5Y0WjY5DIa3zzIkKM+UsA8en2hzwsZPT2L5gUwrDiNcvbpPPGEyXU5w4UKRvefQsl1L2EPWORSZpYOpiLuQzBpv1PpOlJEtTWSRJotqyeOXCNumExtGFAqoqs1Xrs9kYkE2JtsKGpnBgNkshY5JL62zV+yzOZHniaAXb9YdJVxI7zQH/8puXsRyfZschjCJSSY2/+qsnePHMDF+6UeeVi1XmJzP81S+dJArh6y+vsNUYUMqa/PZvnCSVNPjJ2xu8ebXKTDnF0cUihqaga3KcePXqxR0MXWFxOoskwVPHDpNKCKfxdHm/42l+MkM2peP5IfW2xasXt0mZGkcX8pTzSb708QNUm4NhYokEErHc26r3WdvpIUsiSSuXNsimdLYbgzu2PL7T+j2+VKTVc3C9kLOHyvfd2wa2z7dfXaHZc/A8wUakayozwyKNtZ1u3K7942enCaOIuYnMA3X3uBVBEHJltUVn4PLs8UlsL0BXFE4fFkm6Zw9XeONqFV2VOb5YvM/ZxnivcWQ+T6sr9oznT01x9nCZH5/b5MZGh7VqF0PTWJzWaHdtugOPINwlUxsS5tIbeGgKtICkqbA4leHzLyxguxGvXdhgp2lTb1ui8NDUWJrO8eSxCqV8gpQpiqh+8OY619bbpEyNQ3P5YSJYn2pzgKErHJkvxEWOIzx3corpUgrXD5mbzKD+nBIEp0opfu2lA9RaFpVCkr7l8cr5LVRF5vB8nsy71FUfFm9eqfL2tRq6pvDxszNjx/gY7zueOT5JOWeyst0hDGBlp8Or5zfZaTtEQYSqgB9FMLj9WAko5wwmCwk6Q5v22RNTLE1l+NnlGn4Y8I+/8g6ZlMqR+QKffXoOPwz51qtrtHoOU8UUn3l6DlWVma2kSSc0/CAknzHZbgx49cIWfdtnaTrLk0cq+5j00wmN0wdL9G2PlKnt+2yMe8PxAi6vNLEcn1LW5OBs7jZikjE+GkjoCroqs9OymMgnqBQSXLrZFIQg8wVWdzps1i0WJtM8c6LCqxd2UBSZX/3YAWYrSa6ttXnh9CTTlRznr1djP9UIuVySZ49P8pO3N8mldb700gHWdnp0Bx6nDhT5kx/f4Npai1za4IsfW+RPfnwDy/L59NNzfPrpObbqffIZg7/8xRP84XevYnshn3l2nn/5zUvc2OwwU07z+efn+NrLq0QRfPmlRfp2wGatz9xEhkJ21yelqRKr211qbYul6SzHF4pc22ijKTLlfII//ckN2l2XIws5zD3dWyeKSZKmiuMF5NIGP3l7k4s3GqQTOh9/YobuwMF2AiZLiX129vNDvcXzQ+YqaZY32zS7IhH81z91kEs3mgRRyMHpPL/79YusbfeYLieZLiVZ3ugiSZAwUvzxj5ZpdGwmCgkMTeGVC9uoksxnnp1DVWQGjk8xY5IwFTaq/YfWT5Y32tRaFoaucHS+8Eiy8uBsTjB7R4xJHx4BP35rg+sbbRKmxqefmn0oX+rDIooirq232WkMqLUsugOXQ3NZThwsUm9aPHuigqaqvHmlSrvncmOrTbvn0Lc8dhoD3g7rnDhQ4HPPzXPuWl34BAsmITJ9y6EzEJ03lmayfPzJaRpNh4HjcX65wfxkGkPPcuZAEVlRUBSJa2ttzt+o47kBpiGz3egThQG9QUgxazA/kaHWsnj94g71jkUhY1BrWnhhSLNr85lnFkiaOl/82CIvv7NFGEEhY2LqCje3uiAJZtx76QOlXAJTVzk0myMc+u5yaQNZljh1sITl+DEZRTalc2Ojg+P6SBIslLN889UVLq80yacNfvm5hYf2jdmuz7dfXaPesajkE3z26Tl0XcV1A/7FNy+xutNDQuLjpydxw4hq00KRZF44PUU6qfHdn61j2R4HZ3J87OzMezldxhjjFx4jmdno2MiyxGxZkFI8c3ySt6/VQIKTS/sTRHRN4cyhEp2+YJJPJTR6AzfWI/ayyY/idKVcAkWRuLrSotaxkBAy58RSiVxa59LNJtfXWrxyfhtNkZmdSPPsiQpPHikzVU7iehHdIdtoMWvy0plJXrmwQxhFzE/lmC2nyGd02j2Xr/5omXOXayiKxHQpRTank03pLE7n2Kz1sB0f2xcdf48sFpmtpOM9IZfSmK5kqLUHNDsO7YSLqUtsNy0GlsfSdIbPPD1HPmve1f4Kwoirq03afZd0QuPJoxNMFVPYns/CVI5XL2xx/nqdpKkxVTL5w+9fE3EJSWK2kiIIRfHL0nSW04dKMUFW0hQEPaMYycB+934bWZb5/PMLrGx30VT5oZKZDs7myCQ12j2HmUqK5IO0RP8FRm/g8u3XVmn3XWbLaT799Owdfd3Nrs3yeocwiliYyjBR2J8f8eqFLS7dFHbs4lSGiWKKI/P5eK6cHq5NVZHwg4hyPkE+YzKwPSzHH+YdKEyVUuw0B6xXe3heyNJslkxCp96y+edfv8T19RaSJHNwOsvpg2W8IKCUT3DyQIme5XLpZoN82mRxKs1/83tvcmOzSyFjMFtJszSVYX4ySxiJ7jnXVlv0bI/BqFtOxiST0Kg2bTRNYTqjkzA0ai0LXVV44kiZowtF4auVJCTg42enRIGGJOFHEaamoKkK339jna/+4Dqdnst0Oc2zxyeYKCaQZAlNVTF1hRNLJSrF1NCm8XG8gOlyGkNTyGdMOj2H9Z0e567XuL7ewtBUPnZ2mk8+MUc+Y7C63WWr3keWJabKSYoZk6SpcWW1SbProCoipphKaHES/MD2OXetRqfn0Bm4lLJmvIZ3mgMu3ehxfaODRMREMUnf9licyt5GfDXGzx9zExkyST32y3V6DtfW2xyYyTFRSPLksQlurLdwvYhrmx2qbYvtYex/q9Gn1XMhEoQuM+UkvYHLmYNlljfbZLsamZTB4nSalKkThhGVvImmqcgydPoefUvkDKmKxNxEhmbPodez2axbtPsuPcshk1Lp2y6NtsvSdJYXT83w1JFJVra7GIbK/EQaP4j4wx9cx7I9ijkT1wvo2z7PnZhkbiLN1fU2uqogyRKLUxkqhWTsE7u62uSVC9sitnJyiqlSgm+9ukaza5MyNSZKSZKmhqpIHFoskEqIvUDXFM5drfHNV1ZImipL0zm8ICRhqByZzz9wHM71Aq6sinyCQsbgxGIR1w/IpnQ0dVzw9FGH74d85/VVthoDCmmDzz678HPpVP8gGBV4jWNVHz0sTWf57d88zX/7r97if/2j85w+WObwfP6DHtYY7xE8L2C92qNve0P97/Hz66bTJv/GZw7xo3NbFLMGn38Mk+5vxeOa0frM0RKvXa7Hr597+t3lxH8Q+JWPL/H65Rr1tsgFP3Oo8kEP6aFhGipnDpX3+UseBR8ODeN9whe/+EV+53d+h7/5N/8mb731FrVajWeeeeaDHtZ90eo6MZua5fisbfc4PJ+ncEtnhHI+STm/6zBRFfm2oNPe4oHvvbFGrWWhqTKtrsNb1+tkEzpTlRQb1R6mphBGotXgwHZpdBwaXYt230NTJfq2j6rKOFrE1bUWs5U0QRAhqxKZlMnqTp9mx8Zxfaotm4Su0Og6w1bxgkF/spjiGy+vcPpwmcliMq6M1xSFn9S3AOj2XV45t8k3XlmNjZ+vv7LGp56aY3E6x+L0Hoa8vMlnn1mIX19fbxMEEVv1AZbjc3guT6vrMlMW7DwPVu10ZwbsUnYq/vsr37sWt7957cIOi5OiUEGRJLbaNmEkqvt7A4+Z8qMrzl/5/jID20eRZa6vd/jRW+t8/KzoaqGrModm87x2cSduGXl9XTCIPGhLtZXtbszUYTkBi9O5d13AAcLZujQ9Ti5/WCiyNOwsI+F4ATc2O5w8IIISG9UenZ7LTmOA7YpWvpIk2OeEgz21j0nlXri+0SYKI2w3wG4OSCc1vvXqKrIkk0rorGz1OX2oTCohnPDr1WHHHk3h8s0mTx6bAKDneARhhCKLVqzdvsfA9un0XRw3QFVEZxBZktBUhcsrLRRZppA1qbdttuoWU6U0EjK/e/OSIB2MYKMmnKO6qnJxuc7b1+ukk4Lh480rNWYraTp9D8v1Sbohm3WRNNHoOKzudJkqJeNCtoHjcXG5RSapIyNx7lqdZ45P8NbVKp3hBtoZuDx5ZILF6UzM/uH5IcubHY4uFOj0XRRFJqnIVJsWMxXB7F8YMv9dXmliOwFJQyTJd/turGw/apKpqavM3cIWtVHrcWOzg+eFeF7IlZUWxaz5yEViY7y3+J//+B0sJyJpirb2/8Pvv8WLZ2boDTxURabv+EiSTD5r4jYGlPIJbmx0mCwmGdg+Nzc7HJjJ0ew4Q6ZbfTh/xLou7GGarLct+pZHNqkThdAdeEM2NsHI1Bt4bNb6bNX7tPuuSKbY7CIhcWAmx/J6h8QBlY1qP56jYRTx7Indfe4Pvnedvu1Ta1us7/Qo5UzCCH7/u9f54otLaLoe70fLGx2urrWptiwUWaLVc/j6y6s8fWKS3sAnaWi0ui47jT5nDgul23EDrq23KWQM6m2bla0uL56exnEDFqeydzVYc2mDneYgZnnrWx7r1T5L09lhUdrtx7lewMp2FyIIibi+3ubYYoGt+iC+/+XNDmduYSW/df3e2OjEuthGrU+lmLwnG9BbV6s0uw6u53PxZovpUpJKQePld7Yo5szYweZ6IZYTcOpdsBRsNQZ0Rr+/5TM3kY5b6NquLwp+hkG25Y02Txx5/IyfxxmSJO1bw3MTadaqPToDl54lkpGOzuVY3+khyzJBGN52jhBo9j1SgvAQJIlGRxR1FrJJ6h2XVEJHliSSCZ2ZSooIiYVJwYZ9fb3NZm1A0tCIIrix2aGYNWO2D9sJWN3ucnRPEmg83g+IASSfMclnTGzHj7uBeH7IjY0OZw4/ege6h0W753Duag0Qsuun72zxv/vMmPlmjPcfi9M5Wj2hV7c6DrYboUoyThjghhGuF3K7tBBFYJYbYpo65WKKyWKKvuVjuQH5jMHVtRbNro3rqySMHu8sN7AdP2ar3ar3ubzajO2Q0d5quz4XbjTiPfjmZodSThRR74VpqOPijUfA2nYXa9ghrN62yWeM9zWpeIwPDltDmz6bFAz0G1f6Mav8t15bhQhKWZNay+LySodSTuhwl1ca/PnPHOb5U7sJw88cn7rt/FdXm6xsdWNf1Fe+d51PPTVHOqHzg7c2uLnZIZUQLNK/+7VLLE3nyKfh7et1njkxweE9a/rXh0xv3319lU7fo5gV7NW///0bHB52zfveG5s8eaTCdFl0+dxu9ONrv3G5xsAW9sBGtU934DI/IXST3/vmJRw3xDRUVrf7/OjcFp96arfrbTqpk0asjRsbHUxdxQ9CvvnyTU4dLJNOKmzXLSr55D6n+CjZb6cpkh1h12YYFTh/85WborgjqdHuu/zJj27y9PFJAL7z+jphIBhDV7d6XFtvkkubBAR89QfX+cILS+J3rPexHJ9c2hD+g402Zw/fX8du95y4M6rtCDvlTvrXg+BWP/EYD4b1ao9r620ABpbHqxe2+ZUXl9636zU6No22Ta1t0em7sQ1ZzBg8dbTCkfkCV9danDhQ4juvrzKwfcIIXDeg2hDkHultFUNXSScNMkmTVs9mbiJBz/JRFUH8Um/b9HseuqZw6WZzyAytkTJ1pieyHJjJcXOzw9pOn2zSYMcesF23sL0Axw2ET2Hg841XVpmtiERKgLeu1lFkmCym2GlYXLpR58zhCn3LJ5MUOkK373Jz0xb7ViRsj2eOT95TH0gltDt2rBVdM3ffr7UsGh07jhG8cbnKxRsNoggabZsfvrX+0EUcb1+rxSzv1abFO8sNnjo2wU/Pb7Fe7TOwPBwv5PXLNRw/oJQxMQ2Vn57fIpfSGQw7BV1bb7MwnR0nzYwxxnuIkcwECIMIy/Yxy0KWnL2HL0tTlX2680iPuBXLG210TSHsO1xb7WC5PgPLJ0LI5U7fFR01gpBa2xY2lxpxY6vDRCHBx8/OihiKKcfsG54f0Ql9jizskqbMTQoirKurTc5drhFEEa4TcmW9xS8/u0DfDrh0swGArMjYtsdmPaRSSOIHIbqmMlkSsnDUNcAPIlRFFHDYTkgqqbGy3WO91ufgXP6uBeDVPX7Ukc94pC9t1ftcX2tj6iphGPH7312mmDWH/syAds+hlBMd1K+vt3n2xOS+5zyKkViOz+WVPX6bO/hZHxSqKnNw9tFii5VCMu5UMMa98cblajwv1qs9rq6176iTjmLusOtLHBVG1VoDLt5o4ng+9baN7Qbk0iYrW12OLxXjuTJRvD1ueet+P1VKUWtZlIYF4bYd0Ov3iSJ483KVMIqIgDd6DovTGVIJPfZZpBN6bBd94+WbbNQGKIqE7Ya4fsDBuQJhFKFJEq++uU7f9ml3HVw/RJY9/AAGTg1TV4miiE4/pNGxURWFpKlzdb3D08cm0fclfJtMlfb7S396bpNa26bT82j2XCR5QCFbJIgkJrNiXvYtn2rL2pcfcdsz32gjSxLnr9cJI5AlmR+9tcmvvrhI3/LiTuVBIGKyC5NZqk0rtn18PyKb0pEQnUNUVXT9sWyfnaaIK2mKAkh0Bx6KLHHpZgPHCwlD0Vm+kk+wvNmmmDVQlMc1pe2jg70xL88Xv5MkSaSTOpVCgmI2wXdeW4275PX6fXbqfbHGI0CCZtelb/miE6cErh+STumkEhq1pkN5KRmv2VMHS6QSGhu1Hmvbgum/mDNJmiphJPTnvuPjeiGOGvHyO9vYjk86qVNr2/z0/Ca/+rGDTO/Rkf/0xzdiHfrHb20yXU5RyBhcXWtTyCZIGrvyYOD4cZ6L74f89J0tRIPxiJ++s8n8RFoQZiGxtiNIGOcmM/hBJOb8MF9qdbvL9aHdV2vZVJsWTx6dwLJ91nZ6HJ7LP9DzX6/24k6hzY5DPm2OC5x+gXBppcnWsEtts+vw1tUqL57+cCTI7nbieLD8oDEeL3zxY0u8caXKj97a5O//01f5L/+TTz9yUvAYHy5EiFgzw9zcMIrue8yHDT3Lo2cFsS98b17j44LXb2zuex0Cm5ub77oxwM8bews4AP7hP32Zv/WXn/+ARvNo+OoPlzF0hZlKmr4d8L031vjC++irf7+ga8q7jul+JCLrf+/v/T2++c1vUqvV+Gt/7a+RTCb5+te/zt/+23+bv/N3/g5f+MIX0DSNv//3/z6q+uG/5VuF9HsltINApHjIkkQurTORTzBVTCHJwDB5OgojIGKUOxaN/h0OYfT+qGggiqL479E4R98JhgeHYTRMzo72vb9/bPtf+9EuA/HoHL4P9/v54nFGu+MDifA93vf8W07o+yG6LsdjHt3ru/3t/FsejB/cfr6914hueW73Q3jLfUSPoYLwUcKt83Tvz7E7p/d/99bf8IGuM1yT4oTD9/wQeU8ycjhcs3vnRESEvyexdN95EKxOsey4ZQ2EUXRbUqofhOiRsu9+RnC9YHjO28fO0GELIiF79CJCjMf1Q5Qha9BtYwxCZsop5ipp0VpbUwhDMb5bp38URUOZuOf6d1gjt66b90vRvvVeojuMeYwPDo63X14HYYQkS+TShih2UiQkSdqdL3v2qyiK9s2b+82h4A7z8jbdIYz27NW7793t+7duzeFw8UV79ntxbHjbPh6E4W3r2/WD2+TT3j1s7/fF2t0NNN5vL7r14/vJwSj+3+7xd1rv98Ptz+zex/jDZzj62ugafhTdJvMeRZbf6/h9Y32PrzXGu0cQDNfonr09QhR7yLIo0rjrrxTuzh/PD2N5EK9VRmt1/7z2b9lQb5U74pgP59z4oMd5m758hyKbMcZ4v7C7d+9/PyKOw95RXoRhRHCL7ugHUZz4AKP9MBru4/vPEtyqhO/5/u7rsS76XuI2PWP8bD+yuE1v2/M6CEJkSdgNYSS6dqSSGhJgPCBLpO/fandH+z7b72vjrt/dC++Wc+4dcxhFhMDIm7DPj3GrbNlzGt+/1Va48/56m3y6x/O71/t75detl9rv59jzdxTsk797rx2x/17v4Op8oHF9WPWvjzJuX4Pv9/XEvyN9PZPUKeVM5ibTMQFOvN/v2bvFXi/27di3HkYgj3z4Q7t9zxzy/BBVVW7xi+/u6yP/w8hqCIlu28+DINw376MoJIp2k/dGcuK29f0u/NP3wq1rxL/lGQVBRBiGD9UF+laxMfJPjNb/aEr4gQiqxz7IPX7PeDz+2DYYY4z3Ereusfd6mxzJriCCiHBXvgKKIlPMGaiyTDBc/2IQ4h/PD+JzSLdIOT+IkKX9vs2R/3GkfY38k1EQDuOqu9/fjaEIfWPv2WO/T7Srf8T/Rrt7xN2a+N1L97ibXnVbDIrda97pOrfFR8a+xw89vOB2//6dsO+nvcWnPjrFnWIPj4I7+fwjSYr9H0QwCiHc7RqjuOKdchpkRdq3nmBXhx/pSlEUxbbY8BsQSfgh3I+uzY/1iJGuFO479+593vv5CLlx5xyJu8Uib31fU2XOHC5juz4JQ+XGRmff9+JYTxiiyAojMzAaepqGqSLvmT43xnuHO8WoRjpx/F5051ycCBHfkyWJMARZGs6F6NZcE/H3TDlNIWMShKJofG2nu7s1DifJKE9o79Vc//aZs+/87N8nfH9/bHWfv4Fb5U50z31t/3f3xCBvjcE+xD51m2wa2/C/ULjVV/Vh0XGCIGSrLor6ZsakAh9JSJLE3/w3n+TKaovNWp//7l+9xX/6W0+PO3d/BKDIMovTGVwvRFPlB+4M9WHC7X73D2gg7wJB44MewfuDEenv44TglpiU+wvsa/1IlM//3b/7d/ne977H+fPn+eEPf8jXv/51AMrlMv/4H/9jvva1r/FHf/RHPP/841FtVMiYZFPCHaDIEvm0ge349z0uDKO4TfAIF2/UefXCFp2By5HFAoYu4/kBKVPj7JEy2ZSG64XkMwaSBLIC+bTBzIQo7kjpKglDIZPQSRgKxayOrkrk0zrVpmCmanVtgjBkqphEU2UMU8ZQJcIwImEoTJRSFLMG2bSO6wUcXyqyvNGmM3DZqvdptmwiQkxDoTtwiaKIxak0Zw+XCcOQKAp57uQEfhThuD69gRs7Wkb3PHLMLExmcDyfTFKjUkgIx2vWJJO8d1Vqs2Oz3RjQaFtcW2vhusE9v//Lz86jKEJBOjSX44UzM+iqjCxBJqVRyJgoiiQSxRGs6dUhg9leBEFId+DGDuC9sB2fTz45i66KZTpVSvL8if0si5IksTCZGVIyw9xkGuU+XTh6lmhTW29bJHQ1vo98xojn3RgfDDJJLWbglGWJuYldo2uymMQ0FMr5hHD+RRHFrBF3nKg94NztDVxMQyUiQpYiLNenO/D4pefmGU2dp46WmSmnqeQTFLImcxNpdFXB9QOmy0laXRvL8Th9oEQxYwznsMdEMUE2pZM0VRKmiuv7+H6I4/oEYcjZwxUMXaR26KpMOqER+AEr221my8k4sTyX0simNdp9B9txGdgOO/UurZ7NS09MgySRSmhMl1MsTKY5MJNBkSQSusbSdJanj1UwDQXfD0klNE4cKNDpOzQ7FkcXc2iqwtJMllRCxfUDETyfSJNKaDF7hixLTBaT1NuinfrAEut0YWo/u45lubhuQN9ysRyPTFIjk9T3yaWB7cUsHe8G0+UU05UUsixh6AoLUxly6Ydbs54vZM6dEvPGeHf4rS8eQ5XBcTyIAp44UiKhit/KdnwSusqR+RyGJhNGIT3LpZw30TWFTEojk9LZrHVRFAnXFUxno33Stn226n06A1fsuUFEatiuVVNlkqZKFIGiSDQ6FhHQsxxMTSGZ0FBkialiUsgUCRamMiRNjXLepNmz6Vsuk8NWyqP99RNPzNC3XMIwopAxMDQFQ5X5wguLHJ7NkUvpOJ5oo1zJmzx5tETCULBdH0OTefH0NNm0jqEpOJ5gAC0XzJjtspxPDg3UgJSpcnAmI9ZQSr9vd5lyzowZO4Vxq1BtDvDjPXX//DY0hamSYLaShvefSmiU87vrff4OnQbaPYetej8OuCxMZWh2bbYafSZLyZhV9G5r/MyhMromI0minW0xm0CS4PTBIkRR3Jnhbtd/GEwWk7F8NQ2FdEJjYHvD12rM7DW6/7vhTrrkGO8Nqs0B1eaA7sAFCV44NQVRRBgGJA0V3w85tpQTSVN3OYcqS/hRiKHLuJ5PNqXi+T6tnoUXhEQRzJQzlHIm+bROMZuIdcyDM7m4+l9RJA7N5nDcIJ7fe/XWDxuS5u7+LElC3/95opA1YxZISYKnjk3+XK8/xi82FqYyeH7ARDHJdFnIekOTSRoqunLngLoElHI6B2bSKKpM13JRZChkDWRJopIzMQ2FpKliaAqZpIoE2I6H6wkm7mN3YOBMGCoHZnOiZbwE0+X0fZmn+5bHwPbw/OBDp4MObC/eKz8MmK2kUYe2fyapx3bhGB89TJWSyHI0ZJaXOHWwFOv+L52dQZJl6u0B5azJ86cmafds+rbHJ56YwfWGaykUyRI9y4v9hZdXGnz39VWmi0kmSgmqzQED2+PzLyxgux7NjsXzp6aYKiWxHQ9Zgi+9tITleLR7DodmsmQMhR+fW2ez1gXg7WtVfnZpmxfPTJMyNSxb2DWff2GR6xstrq+3eOHUNDISG7UeEDFRSFJtDqi3LU4fKqGrotNoMWvyxMEiW40+zY7Flz95AGM45yuFBB8/PbPvOY1soelSkslSEtcT3cs++cQsfhBiOR7FnEnC1PbZ3yP/XilrxDaDrslM7+lc+uKp6dj/lU7pfO65BdarXTaqXT52ZobUkNluopjm42en8QNR7PaZZ+bRhmMuZk0OzeWwXB/PD5i/h469F/mMEdvx76f+NZK/Y9yO2cpuJ1tVlXny6Pvb4a2YM0knNdIpHcv2UFQJ01DIpXSWN9psVLvDORExVU6TTmiYmkLCVCllE+RSGtOVNOmkRialUW/2GVgWW7Uuk0WTZELYpYWMjqZLXFtroqsSQRAQRWL/X5zK0hu4FDIGlUICU1dJJ1QmCknmJlJkUjqKIpNJanzyqVlmJ1LoqkSza1PJmxRyCRwvQNcUyoUEO40+6YRGwlBxXI++7XF8oYDj+Tiuz0w5Fe//t2KvL3yr3uPaWgvHcXjzyg7nr4sOGXttekNXY8ZvTZV59sQEi9Oio08mqfHU0QnaPZetRk/4TXoOvYF7z/l/cqlIcigf0kmNkwcEe/4zJyYpZAyShoqmSCxO5Tg0m8PUFZDgqSMTPHm0HO/XU6UU85MfThtqjDEeF9jDeF841G10XUHXxBpTVZmZIbOw74tEtdH6vtUPN9IbRoVV240BzY4dfz7yd02WkkgSpE2VA9M58mkD01DIJlVyaYOjcwVeODNNNi068ERRhKyKLh2Lk2lubLbJJFV0VebySoPNeh9ZjijnDGzXp9Hu0+hYOLaL7fpUcgnmJ9KEQYBMQClv0uy7EIXIckQqIe43nzEpZA1KOYOnjk4wUUjgegGeF3JiqUhISC6to6sKE/kk+bSOIkvMTaQ4MJuLGcsBLMenZ3lxEm6lkCQx9CMLH+muTjRdSsY2naJIfP75BQxdIZsW7OwLk2kMTcQ9FyYz+67TGz7zbt8ljNgXV7mf3ya4Ja47xnuLB3m+Zw+XURWhp+czBofm7twZbmFqN/48U0nFujAIf/TCVAZjqLfMVERnvls7zO/F3eJTjhdQyO7GBMr5BEcXCxCFLE1l8X1BIpUyVa6tNZEk2Kr39p3DcgMWJ7NijWoyCUPl6WMVDE3h9KEyURQxW0mhypDP6GiK0MnSSZWTB0tIRKiyjK4JXT8IQ1o9exjTGNC3PHoDl+3GgFZ32DFojy/96aMVSlmTTErH0GRyKQM/CJirpOj2HdZrXWRZimMSe2EP1+3A9ijlEpiGwtGFIrqmIMsSxxfz1DoW6aROMWvQ7NpYjs/88FmXciYJQ2HgeEiSSOjdm+M5kqUpU0XTZFRFxg+Ebee4HvOVNLIMCV1ltpIiZWrMTaRjHWyEMBSyuN1z7vobj/H+opxPCL8cYLk+miazMJmhnDcIghBNlsgkNabKGUxNQZLEEs4kVYLAR9cUJktJChlhf0hRgGW7rG21uLbWxA+Ef8F1fTZrPQa2h2W7ouPnZouL12tsVnsYikg6VRWJEwcLsQ9L12UOz2bjWKPrBdRaAwxNoWeJpMIzh8rkM2K9z0+mOX6gFNvuYRTFn4HIJTh9SDB7B1HEkfk8Jw+W4ljY3ESa+amRbSD2rpFesTCZYaIo1lsmpXN62CEqjETM80GJTafLu7IvldAo5z6c/rrx3vr+4NhigczQf5Q0VE4dFPPxg/YrbzcHBGEkbPRxJ+ePLNJJnb/9l55BliW+8/oa33p19YMe0hjvASqFBAlz12c9ymF5nJBN6WSSGpv1Ht2Buy+v8XHBc0/v77ghw2PXhQNgvrJ//vzn/+EnPqCRPDq+8MIChqYQhiGFrMlnnpy5/0EfQtwr//tBIUVj6v0Hxrlz5wA4c+bMz+V6juuzvNGhM6yUWpzO3rW9ZhBGXLzRoG8JA/3wXJ7f/+5VXj6/jecHaKrC8ycn6dseS5MZrm20yaZMupbLwZkc19ZaNLsODJ1thibz03e2kCQJiYhfem6e7foARZG5eLOFJEU0Ow5hBClTo5TXOXuwwo/f3sQLAtZ3BhiahKYq/KVfOYaua6xsdVnZ6eC4Abqq4AUh85U0V9daFHMm9bbNgZk0zY7LRDFFGEVkkzrZtI6qyKRMjVbPYbqUIjFMLLm82sKyRSD3yHyBnuWyut0V91FMsjCZQd/TXeBOOHe1yptXauw0BmzUulQKooXjX/m1UyT0ux/b69nYfkA5n8J2fc4v17HsAENXODKfJ50UjtTXL+1w/rpoYbQwleFTT80Bgrnn/PUGjhcIJ8xSkfTQSN2q91nZEkFzU1OYKCWYKt194/OHiXt7HWh3wtW1Fo22zbW1Nq2eTSapM1tJ89ITM/d9TmMIvPbaa+i6/r7KAdcLUBT5toKcKIp453qd1y9uE0UwVU7x+ecXePNKjW+8fJMwglLW5K9+6ST6HebuZq3Hd15fo9lx6Nsum7U+rh+SMlR+/VMHOX2ojD+c02Eo2o5KRFxZa3HpRpNvvbZrGHz66TkOzOS4vt5ibbvHTtNiaSbLdCnFbCXNlbUWP7u4jRuEEAmnzImlIs+dnOLltze5vNbkymqLatOiZ3n4QYDlhMgSmLpMMqEhS9AdeDFbzlTRYHYixzPHp8imdM4eqaCpEvWWzeWVJmEUUc4nOHGgRG/gcn65LtoOL9e4vNrC8yJmJ1J84okZwhBubnWQJJE8fWQ+Hye3en5Ab+Dx3dfXubTawLJ9yrkETx+rcHAuHwc6Oj2Xf/Kn52l2bPoDj+dOTnJovoAURTheiCxLpBIq3b4w4iuFBAdmcu9qboRhJGSG9OBMrCMMbI8LNxoEQYSuyZw8UBqv+0fEneTApZs1/m//8ys4boDrB8KBKUvIiszh2Tx9x2NpKivaGQ9cKvkkluNzdLFAo21z4UYDRZLoWh5H5vMMbI8IyKQMtmo9ZsopGh0HTZXIpU0qBZNPPzXH+ZsNzl9r4LgB1Vaf6VKa8zfqw+p9hWOLef6tzx0jaaoEoUhAVhWZMAz51qurrFf7uF5AMWswP5klYaqcXCrye9+8zB//6DpRBKVcgv/Tv/0Ek8UsKVPF80PeuV6j3XO4eLNJrWnh+AGrmy1SaROr7zAzkSVhqGRSOmcPl7mx0SFCQlVEotqTRytcXmmy3RjgOAFhFJEZ7vknDpTuW5AYRRGeH/LW1RoXbzTwg3AY0CiiKjInDhRJGPvXiOcHSJK0L/jg+QGyJN3WFvzySpOXz29BJBzjX3hhge+/sc6Pz20SRUIn+61fOc7qdjduYX7rGu9bHu8s17DtgHRS5eBsDj+IuLHZJQwjTEPh8FweQ1Pek7bko2eyttOl1hKBpJlKKg6c3e1eRwjCiAvLdQZDverwfJ5C5sPpkP6w4EF1gh+8uc71tTbVlsVkKcnxxSLf+9kq55frdPoehqqgajIDy2XgPFiCs66CromEAtsRCVXppMq/9+WTPHtierguouG6KJBO6oRhyHZjwOp2l8srLbYbAyqFBIvTWT7xxOx9190HjfvN4fcbA9sVwdzHkBVljPcP77dtsFXv85O3N9mo9XHcgGxC5WdXqjTaA7rW3eVFypTIpUWSph+E6JqMZQeU84L5+9RSkZvbPVa3O9zc7hEEEaaucGKpyDPHJzkwm2OicGffg+cH+H6Ioav7knhuxfJGm2rTwnZ9LMenkDExNIUTB4ofuA56Y7PDTkOQLEyXU++6mPK9wsgG01R5zKr1GOFh5UCra/O1n95kYAckTYVcWmerbiFJUM6anL/ZwHEC0imNVttmoz5AAp45UeGpY1OEYYShK2iKRM/yQYLLN+p867U14aMzRKJGp+8iyRIvnp4WekAAuYzBZrXLTtMSgd58gks36wTAZD7BVr2P40WossRkKcl6Vei5s+UkRxeKtHsOKVPj5fNbrFcFC+dUMcWh2Ty2F5AwhD+s2RV+zAOzWVRZxnZ9simdt6/XWdvpIQEfOzvDCyemaPXt2/xdyxttfvTWBlEkgkKLU1naPQdNlZkoJqm2LMIgIpfWCcII2xV+NT8IubraAoQe/Nln5kVnAkW+TV4FQUC755JO6PzOn13g/HIDJDh7qMy/84Xj2K5P0lRZ3uiwutVFUuDIXIGpUgo/CFEViatrbWotC1mSODCbu6vP9k64m9/nvcCHVcZ92NAbuOi6GpPnvFvcSxY0OxZf+f51tup9XC9ktpxkp+XQHbiEYcixhQKaJrO80cF2fGRFEoVVSRNFhRsbHRodh+X1Fn3Lww1AliGd0PnCC4uUsgYvv7PJlbX2cH7KZFMa85Usxw8UObZQwHIDbNen1bVptG0UWeboUp6DM3m+/tMb9AYuyYTGmcMVBpbHd15fZ7PeR1NEsuHBuRytjoPl+oDEgeksS9NZzl2rEUXgeSEH57Iosozl+uTTJrIsiaSXIQGN6wWcXxb+iiurTW5udoiikLWhrHHcgAMzOT7zzDzPHJ9gvdqj2XGIoojpsrBtR2t9FAM5v1zn/HKDjWofVRFJa5NFMe/nJzN3ZSX1/TBe53u7eARBwIUbTV69sImETD5r8uknZzFNNWZHdP0Q1/VjYp0xxhjh5xE3+Cih3ra4tt6GCNIJDVmWhrHQiJlKmplyGlmWcF2fP/vpTdo9l+7AZX4yw0QhGfvhbmy2+eGbQm/IpXVMXWV7uA+eOVzmzKEyl242Y1INXVUY2B4btR7rOz3SCY1yLsGzJydYrw4Y2C7/29cvsV4dECGYyp86VmK9apE0FPxQJDJbTjBMChdkWGEYcX2zg6pISJLMp56c5tzVOm4Q0Om69CwX349wfJ8wCNF1lYShcWypwAsnpylkDI4tFlEVifM3Glxba/LK+W0ShkrS1EgnFa6udogQutnzJ6aQFJGMfWS+QD5j7IsrFrIGR+ZFYv7IZ3gnnQj274m+H7Je7bJe7VFt2rh+wGzl/8/ef0ZLkqb5fdgvfKR317vyrqtqunu6Z6Z7/Owu1s0udrELUCAEAQIIEQIB6QsgHRweURBF6kjAIY90CPLgkAAJgaBWAKFd7GLWmzHb49r7qi57q66/N72LDB/68EbGzbxluqq7uquqO//ndNfNzMiINyLf93mf5/+4LIszWQ7FgbLru13+9PUNEaDghTxzepbpcorD8/n35W38IOTiaoOB4yPLEieWi+9b0OdxwsOWA0EQcuFGI/Gbn1wp3fb5di2XC9fr2K5PIWtw9ujUHf3L7+d/7lkOVzY6WAMPVZU5sVy8bVGCO/mnGh2bqxstiCBlqpxcLmLoKpvVHms7HX7n+9fZrFl0ejYgocgS2bTGqUNlnjs/z9eeXmIwcPkXv/ce7Z5DGPh85akVnjk9g6KKNVJvD/jjl9dotGw2qh00WWZtt0MmY2BqCidXStzc6dDuOnRtDwli3kNBVVRmKylmiikMQyPwQ+HzODGFIstjcRn5jMbqVpvf+tNrNLsu29UelbxBo+exOJ2mUkjzl3/2NOWRgNu9psWN7Q7Njo018FmYzlDMGhxdKtLtuXzrh9fZif0PT52cJopgt95PbL2TKyU8P+Dd63WsgQjqP7xQYH2nK/RCVQT5r261aXUc6l0bx/W5vNZEVxUUReLQbJa9lp0k/3716eVbfm/fD/njl9eotQYgweefmOPkbQqATCDwUcqCKIp48d1trqy1kGIfeL3tMLBdIiI0VaE/8CjlDExTxrF9Gj0f348o5TSKuRS5tE6rO2B9ryc694ag6zBXzvH0ySlkWcZ2AxrtAa2+S7Vh0Ru4OF4k/NOawqH5LIvTeean0vzE51b4t9+5wnatj+UEnFwpcuZwmSAI+d0f3qBreaQMhW88s8zPf+koruvj+mGiT0dRxNpOVyRHShLlgsnxpWJyz/W2zeW1Booso6kyJ1dKRFEUJ7Ts2wdXN1pEEaRNNfEzDvc4TZHY2OuxWe0hSxLFnHHPc/hR5+v8IOTCah3bEdzIyZXSpHDrA0QYhli2L/z+qszN7U6ia85V0qzE+tFBfJRy4OULO/xf//sXOTyf5x//vW888PNP8GjhX//xJf6n33sPQ1f4v/9HX0p0/AkefdxODrherLfZPoam8MTRMmnz7kXJHzW4bsC//P2L7DUsJBl+6nMrPHugIPnjgF/8u7819vpb/+UvPaSRfHD8+b//WzgjOYX/7P/4HLOzj1cxyp7l8s61Ku2+x1TB4DMnZtDUxyuO8W7x33Dv+QafiE4cn1QEYZQkcIAIwL4TOn0nqT4TRbBd7/Pae3uAcIC0ew5btR79gc9WfYDthnR6DgPbZ323y2ZVBIXYns/abpe3r9XwAtGS0PEjLt1sMXDDhCi1Bj6WLapreUHIdm3A69ereEFEq+siSRBGEkgS33l1k92GhaEr1Fs2nb5Lp+/S6jrc3O4wcAMabQfbDdipDejbgQjstjwaHRvbCWh2HBodm57lYXsBthNwc6fLwPaTe96p99mu9VFkGUWRabTtO7YQHsXF1SYAW/U+fTvAdX2aXYf3Vut3/V42azJVFMHc9baN70doqkwYRrS6TuKIvThynrWdLj3LTb4zrHQdhhG7ccs78Vvv/217AfnM3UlMVZHfN4FDVAISQZ2b1S49y4v/7mFPsvIfKeiacltHviRJXN1oIcdzvNocsNuwePXibtLet94RCQ23w8UbDXxfdADYawxod12CQLQ5/eFb2xRH5rQsS+iaghdE9Cyfq5tt/CDCsn38IOLKWpOr6y06PZd2T1TUqLcGbNf7bNV63NhqEwHdnovtBlRbFtc224RhyOpOh97Ap90V342iCMcNUWRAAscLcbyAWtshDMELIoIgoj8I2ar16Q3c2KnjoKkKza6DGTszLNun3XPYbVgJgXp9s4PjiADvveaAV9+rYtk+rhfiuAFBEI2tOU1VqLYGrO12CHxxz/XOgI7lslXdP+7Nq1X6loftBoQR3NjqUmsOqLZEp4EgCHnvxv5vUW0ObukQcL+QZYmUod53AgeICmTDVmSuF1KLOyJM8GDwm9+9jh9ERIT4AQycADeI6FkebhwgtN3oU2/b1Fo2YQTtvkutJRyWfdvD9UNaPYdqa8Bea8Bew6Lbd2h0HLqWR601oBoH51ebNu2+x6V4jjU6No2O6Aiz2xgwiCvyXrrZgjBEjsnNYQJDo2OzU7dQZIm+7XEzdvANbJ9Wz+EHb20hywqKotDquVxcbSXdPxodG9cLSRkaN7Y62K5PvTXA8UEDBl5EtTXA9gLWd3uiWl7DYhBXJXnvZiNeqy6mrtIdCJ1AVWUs208qWd0NkiRk1KWbotehZfts1/rYro8fhOzdpvuVpiq3VI/S1NsnUFxcbSTlzWstIWtfv1xFkiRkWWJ9V1Tq3R7Zuw+u8b2mBZGEaajxnAhpdJykxaTtBPQH/gMLSJckCUkiSeAAbpFtd7tWu+dgjehVu/Vbn+EE9w/L9rmx1WEQz83Nao++5fLu9QZ+AESiS1oYhPecwAEQhqJK28ARe5AXhISRxPde26LTd/GD/a51Q0JZluU4OTJiq9qLq1j7rO90P1RVgI8L7zeHP2qkTX2SwDHBx471XWG3DWzRJWN1p0vX8rHdu9fi6NuiQn+n59C3faotGy8I6VgeW9U+9a7LXnNAq+vRtzwcL8BxQ1a32kiSNLZ/HISmKqRM7a4JHJ4fUm0KXbPVFbpNFIlk5Hr7/ff5jxJ+ECbBzSC4k0eltsnQBnsUHcITPDhcXm/heiIJwLJ93rxcQ5ElZEnih29v4/si0GavYXFtq40sS0iyxMsX9xI9stVzkgQLIvj+W9tjnMBe00ZWFCRJ5sdv7yAhoSgSl2822GlYmIZIwnrx3W1kWUGTFS6ttejEBQj8MOKtq7VkzFc3O+w1LVKmRt8WvKEkyciSzGatR6fvIMsSfdvn5ZiLBHjjktCfU4bGbsPi+kYbWZKQJInXL+1hmuptC5ZcvNFI2rDvNi3WdruYhoqiyEmxBlWV2a73aYxUwX3t0v61t6p9Wl0nqV57EIqiUC6kcF2PizeacREbibev1fHjYBIviKi3bdIpjZSusVXrJ+vUdgNhw8TBkHfjbG+HO/E+HxaPsox71JBN6w8sgeP9cHWjTbvnAhL9gceNnR67DSvuVhFxbbPDlfU2A8fH9SN6fZ9Wz2Xg+mztWdTbDq2u2NOHFG4YiqrVb16pcmmtyW5DdOfzgwjbC+haPk4QsLnX4+pmGxB78tpOD1VVkGSJVsfl+mabMJJIpwxA5tWLezQ6Yu/2/BDXD9mu96k2bBpdh1bXxXHFfv7yxV2G5bmr7QF7zQEDJ2CvMSAMo5jv3p+P9bbgEgCurDfj7sCCh7ccnzAiLkowYGNXJHCAsHVrLTtZy6oiU8ga9Ac+1abwNfQHLr2BR7VlC3+CG7B1F31GVWWyaX0sgQOEbNis9lAVIXO6fZdae5AkcEDcXXiSwDHBBB8aW7X+PvfWHoxwbKJo03DNb1T7sQwVgefru4LDHPJw791o7usNDYv3Yq4QhE7RtYRPEyAKI66sN1Fkia1qH9sN0DSFbiybATarffaaNpJM0rn86rrgTQaxr7XRsYmIGDgBuw2Ldt/l0nqTIAgZxH7TF9/dpW97WJZIau/2BffrBRGOL+T4wPG4udUlisB2AwaO4GWF37aH54tkVc8PefW9KiD0lbXdPq2+iyLLiW80eaYxmh0n4YeHPOqdbLjRPVFVZdp9F1mS6VpC5nt+wG7dSjo4X7xRJ4pEAS7L8dlrWjQ7Dn4QvS9v0+rujysMo2TsEzwYDOcP7McK3A67dSvR010vHOtccxDv53/2A/C8QAQ3wx35hDv5p7ZHZMHA9rFdoexsVXvYTsBGtY/rCq7TC0K8IExkwuux/v/ujUbSHUJWVK5vt0iltGTeX7rZJAgimj2HIJTYrPdBVnDdAMsJePtaDT+AZs/B9yP6Ax/HC+hbHl3LoWf5rG51qbcGdONYjDcvV8fiMrZqfRRF4cZ2Fz+Abt8hiGCnOcAPQlo9j4Hj8/rlfZtl9P4bbdGB0XED2v24W4kUJQkcAC9e2KHWGqAoMrIkCR8G+zqWqgqZcOmmKHoFIvnivZvCvuoOXHw/5PJaC8+P6Founb7H5fV2zCVLbNcs+gOXg6i2LJHAARCRXHuCjx+SJHFtQ/B3jhdwY7uL5/tESPQssZdIkkx34NOzQvpOhO+LRdYb+GxWe4Kf6zh4nkjgiADXFX6KG9td1nd79CyPeseh1R3QtTzc+BxhBK4fsFWzcLwA1wt560qNZles0yiC65sdduoWF282acUxBEEIr1+uAqDr6pg+LUkS1bhAAoj1MNotvmuJPQ8E59jqOYkuP7TRdxtWog8MYwVgf48TNsX+NVpd5547KTzqfN0wngqG/qDJ3vogIcvC/lNVmSAIE38bwE7dSri6jxNJ0ZWPqLvrBI8W/vxPnOTpk9M4bsB/+s9+HHdDnuBxRS3uQKupMmEUjcmUxwXXN1tiT5WFffrae3vv/6VHDP/F/+dHt7z3Oz9+/SGM5MPBOaDK/Gf/49sPZyAfAjsNC1lWKOVMglB66D7kD4K7xX/fDyZJHI8wFEVO2pQCtwQejkI78JmqyOiGyEwaBvUZcbXLdPy+GrclNjVR+U2OncaqItqMIsEwCyKXFYaUoYuKfooixySmhCwhKl/E5xuSdFI8pLSpJckUiiKjSBKyIsY07BagquIAPT6/GhtTmqqgxAaYGj+PoZPzYIVtdSQ4FYRBddARczsMWy6q8ZiG30mn7j3b8dag0P3X5khHBEWREjL0IOk1+lod/Uy6+29/P2Mc/g6qKjN8NJLEx+a0nODDw9DG572pq5jGeBZiJn37uWvqaiwPJDRFApmklerB8w4xlEPDeTwk+nVNQ9dkkVASvzckDnVVTuTNkAwZVnRRVRlTV9BUKQ5GiS8kif/k+G9FEudK3gNkTRqrFqXdZS0N31MUaUyWqopESldQFSm5rizf4RyxnBNyQRA0o8cNMyeH7+i6eBaJDJSk5DkMn93dgt0+atwip5THK3v1UUc2I+aDqoi1NFxbSGCoou28rsqosiT2tWRtyAmBuL++FFRZHtvXVFXMrdG5a+pKktAj9k0xd5WRuaYqEqZ56/rWdTVZF8P5PYSqyGN7F8B00Rz5fH8eq6oIKlMVccOSIiXdLmTEv6oa76/x94xYHgyvr8hy8hlwX5nVw3HLsU6iHJAPHxQHK4Sbujq+niXIpNTb6B0jz+Y2utnBcQ31nweFIWl9pzHcDbeM7SEGy3+SoKoyiiIla17MAwlN2ZcDyeZ339hfR0MHQjat3Wae7b/WVDlJBgUxbxVFQr0HnXmCCSb4+DF0ECqy2OcNXR7Xoe8CWZITuzvR12Mb2dQUNEVGG9rAiU48tI0/nEwY3ROHleaHcurD7tEfFrJ0YL+WH80qehN8cjGuU0ro2gh/ZOwHBRjqeJD/qM2uSGL/Tr43ElwsHdBJR/Xaoa2QnHNkPSqyxOjSH+UZFUlCi8+jqYxxbUMOT9wPGCP3M9ohVDtQ+dm8S2KkPmIPKAc4q9H7UWQ5CeQQ59z/bGgbvR9MUx2zbzRVRlWH55fGisOMPZP74Gw/Tkxk3KMJU98PnJVkKX4tQnGRQNMELzCcc5IMuqqKSrOa4AHUhGvaP6/EPi+gDOe7BDJSzNkLXmG4bhRFnG8IRZFuqfaXMlR0TUWW9vkwNf6eOqKDKIpE2hjyH1Isz5TE9hmOUztgiyR/KwqyJGwjCaG3iGOE7Bv6IG733SFURdhaiiTFtvCQFxDP8qC/5F5xOz5gggkmePDQDugh43zj/meGPq47Db83tDmMA7qBdkBvGH0tSRK6qiTc5XCPFMHsSvwdGUmWxlgaoYtIiT9UlqTEfaoogo8U593nZ8T5hC90mJQrxTJaXFScQFOlRPcY5YKHes1QFo7pgvI43zt8XqNyb9QOvF8MfYmyLMU+2SG3NRzLuO9Hi3np0d/wTrjVDzPxUTxI3OoDuv1eeDfu8L6veRdf993HNrQvbs9Jq4qMrjHGJwxn2HAuDvfog/rMwb17KEeGa2I4Zil+bcY6jSIUtFgPkpAUoZcpCvs+juG1D8QoDO9jGLugKMr+OdlfH1lzPBF0eL9D/4gy5HEUCV1XGF3GGWP8PnXt9s/woG9nuGaHY0nW8DDewlTi+45jN27jL77TM53g4WD426tyvEbY35cS33qsF4/a00NdXZalO8aGGLEPXZaJ7RBl1A0BiL9H/RuZlJ6sGxhyDzKZkXUiSbfG9oxifL8e38Nu2TtuI9tu54+75ZiPIP7mUcDt4sQm+Ggw6suHeE09hNiPjT2R1LwwnfnYrz3Bxw9Flvj7f/VzHF0s0O65/IP/7kfUJ8VaH1vcy371qONgPOLjqBeeOXZr58BvPvf0QxjJg8VC5d47hT8quFvs9OOCB3UPj9+df4pgaApHFwoYukImpXF0sXDHY7NpneXZHIamkM/oHJ7P85d++hQpU7x+8sQUhxeKfOb4FOePT7M8myUMIrKmSgjMT6UxNBldlShmdcoFk5QuE0UhhayG6wYYmkwpb3JyqUg6pTBTTJHPiOz1Ywt5Zkt5simVQloln9HIpXRmyxn+d3/hHF84N0cYRZxaKTI/lWGqkOLJ41OcPT7FyUNFVmZzHF8qsDyT49hSgePLBY4tFXj65DSH5nPMlFKkTJUj8wVyKR1Nlai3B/Rs0fJ1badNt+8QRhGmLmMaCooE71yrcfFmnTcu71GNq3J3LJc3r1S5ui6ql3/xM3MoisTRhTzHlwoUsjpHF/MMbI/VrTZbtR7N96kKPlNKMV1KYWgK2ZRGGEU04solX3pykVxGJ5vWeO7cfFLBt1JIMVtJY2gKpbwxlil9bLFAJqVh6ArHFgu3OI8+CFRF5thSEUNXeObUDIfnCmTTGl/8zMIHdkZ1LZetWi+pZDTBR4udep9cRhPOTEPh0HweLwj5mecPo2sytuvzmeMVjizcKisGjs/8VAZFkcilNQ4v5jm6WBAOWAk+c6JMtWnhegHbtX6i+BuawnwlxVw5RTlnMFNKsTST5QufmaaUMzE0memSSS6tM1UweerUDE8cneIL5+ZYmMpyeD5HKasTRSESEW9fq/GlJxeZq2Q5uphnYSqNDKQ0BVOVSZsa+bSOqSucXimSMVRSpkIhqzFTSHNssZBU5mp2HfYaFrmMxvpel6ubLVKmQs/ySBkqhaxOMWvyZz6/wpGFPGlT5ehCgbPHpvD8ENNQKOcM8hmDQ/PjrS6XZnJ8/uwslYLJofk8T56YJp8xSKfUpHrH06dmOHu0wnQpzeJ0ls+dmeHkoRInlosYmkIhq/Pc+XlSpki0Ob5UvKPjJIoiqs0B27X+R1YNfWE6SzlvYmgKM+U0U8VbFdMJPjj+xi8+QTlv4PoBaVOmUjDJplWWp9PsNgdMF1LkMwa5jMYTR4pEUcTp5RKFnMnZYxUWpzOYusK5IyU0VWaunOL4YoGUrvLsmRmmC2nOHi2gKHBts8XyTI6+7fHk8SkKWZ2V2SxPnpxGkRWePTNLxlSAiF/88lFUVcUPQnbqffYaoipIPq3z2ZMz+EFEJZ/i9KES3YFLpWhSyBr89V88h65JhGHIkycrfP7sQjJPXS+kUhBz6RvPLFPMGsxX0hyazeJ6ESuzWU4cKjJTTvP0qSlqLYezRyrMlFIUsjpfemoRU1dZnsnSH3gUcwZz5TTdgct0rFsA1NtiTTh36Rb1lafEHjtTTvPFz8yRTemUcqJ71W7Dotm12ar16A3209CH77V7Dtu1PrW4Ovgonj8/R7lgkk5pnD1aYeD6fPkz8xCB7fmcO1phdatL2lDvuMYXpjK3rLmlmRzFnIGhKUwVTWwn2K9g9T6Iooi9psVOvZ9U0joIRZY4tlTANBRSpsqJ5eI9nRsgl9ZZmskKXTKrszKXu+fvTnBn6KrMF88vMF0Set/TJ6dx/ZAvfmaBQlYnl9E5NJsjZShMFQ3uVSVTZChmVXKmiqpA6IeYusxf+fmzeH5IEIZ0LNHhZr6cZqfe5+Z2BxDBBU8enyKX1khpKs+fn/9QztoJJpjgwcGyvWSPAjixXOTYUoFCTsMLAqRIYq6SopJP3ZXMKeY0NCXCUCUKGY3Zokk+o7E0m+WnPrfM0cUCK3M5SgWxN00XUyzOZPnyUwvYrk85f/dOkO8HRZY4vlTENBQWZ7I8caSCoSnMltNUCg9XB5VliRPLRVLxHn5ipfhQxzPBpw9nj1SYLqfwgpDZqTTf/MoRwihCkuAv/plTzJbTSMDpIxV+5rkVbNcnCAL+8k+fYGB7bOx2E95qY69Ho2vzv/mlJzB1URHwM8em+NzZGcIwxNBk/tavnkPXZPwg4hvPLvPc+QUypsr8VJr/4M+eQ1OFzv/nvnaM88enSRsq85UMf/UXT0EUEQQhv/Dlw0yXUmxWuxiGxi99/YgIlpbhF750hFLBoNW1qRRM/r2fPEE2rZHL6Hzz+cNoqkTPclmczfG1zy7S7rs4rs/PPrfCje02b1zeo9mxabQHfPuVdV56d4fnzs3Rt122qj2OLRU5slhgY1d0/Hj+/Dzrux0urjZYnMlweD6f2N8/+9whbNen3Xd48uT0PVXKV1WVX/76cfIZjXxG41d/4gRqHEmpKjJLM1m2aj32mv0x3sDQFJZncvQGHp4fcmQhf6dL3ALb8dmq9RLe8EFiIuMeTZw5XOHc0QqmrjJXSnF0qcCplRKFnEE+rXHmcInPn5tjZS7PdElwAZm0SspQyKd1JCJURWJ+KksuraEqIgGsXDD4/Olpji7kOTqfp5DRSekKhYzO4lSGmXKKZ8/MsDid4eZOBz8MyKU1rm402W30WZzOcmghL2z9hkU+o/PTzx9ifirN556YY34qw2wpzXPn5jl/bIonjlQ4sVhkYTrDiZUSP/vcIaIoYnWrRSlvMFNK07NcinkdXZMp5gwWZ7IEMR/RH3jYrs9bV6tIhPhBQCmf4ktPzjNXTlHKGZw+VARZJLUdXdz3ixxbElxnGO7bxcWczulDZY7M5zk0l2O2lOHoYp4ji3mKOYNjt7GHbdcf4z1vhy+cnWW6lCJtqDxxtMLS7Pvbxtu1Hm9c3ptUlJ9ggvvA4fk8ubQufGBLRU4fqtzWF7o4neXs0QppQ+xrT52cGuPhPvfE/pp96uQ0P/2FwzHHEfHk8SnCMMI0FGzXx3Z9zh2roGsyh+ZzmJrMjc02vh9QzqXQVJl8xuDcsTKGLqNrMiuzGT5/fpaUJnStYwt5zh+fImWozFfSnFzKU8waHF7IYRoqlYLB4fk8TxwqCl+lrnB0Mc/TJyuU8galrE7GlHH9gFxK4/lz87hexEw5hRp3TNZUmcNzOUxdpmd5yDL88lePomsiyePnv3SY0yvlfQ5vNkcYRmRTCtc3W9zc6aCqEq2uc8fq0EPZvNu4tYL00YUCzY5Nz3JxvQDXDzm6WEiCc08dKqJrMtm0ymw5zWwlzdHFwlhCRrvn3MLJAhSyBgvTmUR/W74HGTvBvaOQNZgqpuhZLkjckd9dnMkmHPVcJU05/8Ht9GxKY7aSpjfwiKLoFl/bEKP+qZSh4vo+W9UeuqZgxP+tzOXIxMXTji0WCCKJz52ZZaqYoVQwY51d58RKkXLe5JtfOgzAE0cqnDlSAiJKOZ2feW6F3kDwK5fXGkRShOeHpEyVuak0z5+fI5fW0BSZhak0Xzg7SxRF5NIapazB3FSWhaksy9N5ZksZMobK+eNTLM9mURWJruUwUzSptwdcuN7g5k4bXVPYqvY4NJdjaTbLylyO6ZLJ/FSafEYlY6pkUyqaJiV6yNX1Jn3bQ5IljsznObKQJ5vWObpYQJbF+n/y5DSO5xNGEX/2K0d54kiJVs+hO3DJZzTevV6PuyEErO92cbyAzxyfJooi1ne7SBI8eWKaYs5gaUaM66tPL7I0k2VxJsuTJ6b58pNLHJrNk88afOHcHOnbFAUr5U2ePjVDOqWRy2gcWShMAkg/Rgz5wlZX8IVDv5gky3zuiTmyKY10SuP4coHpUopi1uDEcpFvPLNELq0jSRFIEYosfI+Cg5DQNVF8UQZSOmgKFHMGn3tilmxaZ7acYmEmy/JMlmxaQVPA0CCdUpkumaQNhflKhlMrBZ48OU0xazBVMHn2zAyGrpA2NY4u5MhndMp5ky+en2d1q53YwkOf4/XNNqamEIZhssePBrXOVTKUY5/kdByTM8TQ3zdVNMlndQxNYWkmm/gZR3G/8TcH/aqPKkp5k/kpsbcWc8Zkb/0IMca5GConlksPZRxrOyKJY2Xu3rmoCR5vpE2N/8vfeI7ZcpqdusXf/2++/1h2cJgApospchmdnuWiawoLj2FHneXZPE+enMZ2fVRV5ueeP/Kwh3Tf+CQkbAA8dWx8z/+P//oXH9JIPjgWp7M4XsD6XhdDk6kUUu//pUcMd4v/vh9I0aSn+j3j7bdF25nz588/5JHcG66utxIjKGWqnD1SQZYFOfCHL95k4Hi8cblGLq3TG7gUM3rcWtFFliQsx6eUU9muOxQyGn4Y8fy5eSwnwNRkdpsWmiLjeCGtro2pK9TaNkcX8+iqwl/86VMszwpH0LvX61i2n7T2WpjKkjJUzh4VYxo4Pu9erycG0OGFPDMlkSF2Y7vDXqyAGJpCpWDw3dc36Q983r5ao5TTafUcZstpDs+LYJSUoXLpZpNmx2ar3ufkcgldk/nq00v86J1t3Lgd66lDJcp5M2nHY8bOse+/uYXvh1TbA84fm6KcNzk8n2emfPesNdcTbVeHLWGXZgXR80lEu+dwaa0pemxKCOdj9sMF+zwOePXVV9F1/WOXA5vVHt95dT1uKxwxN5Uhnx4GKu+3FNd1hV/40mHSI9VcbNfnnWt1Gh1bEA1RROCHVFsDbDegN3CZKQqyfXk2l1StmZ/KMFvJ8Nvfv44Vk+2HF/I8d3ae3/nBKvXOgGprgKkpVAqpmOxNxY4QQXz8/o9usLbT5s2rNVRFYWEqw3Pn5vjcE7P89g9ucOFajcvrLaI4aKWYM5CBdEo4cNKGllT4CKMI2wmwXZ8ImCqKZLDrm226lgdRhCzLfOHsHKahMltJcyg2XnuWy8UbDaqtAfXWgAhiZ0ieqVLqfY3s3sDj4mo9acV6fLn4oYjtg1jdalNtxokzusK5Y1MfuFLWBB89bicHXrm4wz//1ruEEThewLOnZ9E1mR+9vY2myPQdjzOHy0zFSudnjk+zttthvpLBcnwcN6BcMHjlwh7FnIFl++SzOieXS6iqzPljFf7l713kvRtNwjAiCEN++atHSZk6hxfypA2VizdEW+xX39tNumqVCyY/9/zhZB8Gsc6OLRV551oNxw1odm0cN2CuIhK9zh2b4tsvr/HW1Rog5uRf/4VzYs0fmKfXN1s0Ow6btS6vvLsriFFJ4ptfPEI2o/H9N7bEA5Lgpz63wlxFVAUJgpB3rgkHQ6NjiyC2Ujq5/l7DSlqva6rM+eNT91yJ4MJqnZ7l0bNcWj2HpZkckgRnjlSwbI8bWx2CMGR9t8vCVBY9Diq9nYPJdnzeifWTt6/V8PwQSYrY2OtzYqmILEs8d36O40v3R9T5Qcg712q4nkjGGJVXd8LVjRaNWF8Z1aEmeHj4IDrB29dqvBm3DQdYmcuyttPlrat1MikV3w+5tNYkCCL8IEyqTgXhfmvzIUxdVJgc2L6obJXWeO7cHOeOTnFzt0supTM/lSEIQ4IgYm2ni2koLM3kCMIwqb6WiZOVJphggvvHg7QNLNvj3ev7+ubRxQJTxRR7TYtv/ek1XnlvD9vx0VSZbFqjN3DZbQwIb5PXJ8vCdlZkiVzGIJfWOH9sinNHK3z29CzvXq+zutWm03fJpkWQ1PHFIhduNPZt8nuwfyeYYIL7lwMHuZTRzV2SSGRAEPj8wYvriQ5fyOqJvhjFARdD9AcurZgTGNrWwzqZy7PZRFfVVJlzx6aSSkDff2OTG9sdQHSj/YUvH02qcf7aH7zH+q5wCktAGAZIsrDzpwpm0hFw4Ho0Ow5RJMb/K18/zvHYvq63B1zbaMf3E/LSxV1sR9xPxlQp5szks2prQBDLH1mWElkkS8K5pcZBgR3LpdsX95o2Vf7aL54lmxL8x5++vpE4srNpjV/40tEPlagahiHf+v5qcr2F6Qw/8eyKGHMYJfYUwHQpdduCGgdxkDdcns0xPzWpnPhJwPvJgmpzwOpWm+16n07fTSrZRkQUMgZzFZGAsLnX4+KNZhKoVW/b2K4IzCtkdco5Ez+MWJjK0Oy5SESJ3JAQfITnh8xPZTixUiST0ri23mar1qdrOezWBceuqTJnDpfIpnT2WjZRFLE0m+XPfP5Qwsm/7z2/t8O3XljFsn0kCUo5g/lKBkWRWZ7N8rXPLgPw7vU67a7DlY0m1zZabOz18PyQtKnxmeMV/vLPPUEha3B1vcmP39kR9yLBzzx3iKni+FjuZBff3O4kAQy6JnP+2FTSfXAIzw94+1od3xfK0+JM9gM71Uaxvtvle69vJHL9G88sP5DzTvD44WH5DSYYh2V7XFgVdo1le3hBSNpQubnbZb6SIW2oOF5Au+fwRy/exI91jpPLRY4uFdmrW5iGiiTBT33+EPmswX/zP7/O9a02UQTlnMkvf+MoUSjR6jls13qs73ToDnwKGUMUsSumeP3SHr2BRy6t8eSJaX7ui0foDVz+yW+8xVuXq4RRhCJJfPbMNF99SshLJPD8kJvbXSzb5fXL1URdPLVSYrqU5vBcnlxWT/y9Q1y62eAHb21RbVj0bZ+posnnn5ijXEhxcuVW3vLd63X6sc+nkNU5daicfPbjd7Z56d2dRK6ePVLmqZMzPHG0kuh31daAVtdmeTZHLq2P6ZjNjs2V9Za4JQnOHC7fU3LtJwEPWw44XsA7I7rmylwu4eM/Ktzv/jrUiZodm1rbZmUuR9pUOXdsaqyzzuW1ZhKwLqr3RwwcoXsXc8bYvB76QIc2xFRR+P33mgPeuV5DkSSqrQGH5vKiqE5K5+LNBpbt4/khuio+l+Mu6n/ua0cpFVJs7Paot4Uf1NBlfD8iDCNqbRtdlam1B4J7UWSWZ3OUciZTRZNSzsQ0FN66WqPZsVnf61HM6LT7LkcXC+QzOnPlNJtV4f8Qft2jY8kTF1brdPoOL13YJQwipoopposmHcuj23O4stkml9JQVYVK3qDRsUVByZTOofkcN3e6H4lu4noB71yrJ0Wmlmayj2Xw4UeNBykL7hRDs13r8SeviLiBTs8hQiRyIcFPPrvM/FSWf/7bb/PdVzbo2z6eF6KoonOU5wdEROhxAbipQopG10GSIuYraY4vl1iaydFo2/hBiBeE5NM6C9NZvv3KGgMnYOD4FLM6P/X5Q4k/UpLgxFKBb7+ywV7Tot13matkmKukMXWVrWoPJDg0l+fwQh7HDdjY67G200VVJFbm85xYKjJVvLfgvb2GlXAasiyJxPm7dPu4H0RRxDvX6wxiTqaUNx5awP4Ejyc+Kp0giiL+/f/T79K3ff6rv/v1e+KiJvjkYKfe5z/5b3/ITt2iUjD5B3/juckceIRxOznwUcedfRywbJ/f+cH1hBc/dajE556Ye8ijun/84t/9rbHX3/ovf+khjeSD4y/+x79N39kviPsP/87zPHFk5iGO6P5xea3JS+/enQ9+3HGv+QaTkqufYLTi6p0AA9vHjStZb9X6BEFEty+qxVkDD9cLafWFI9T1Qwaujx+E1DouRBG2FxBFcG2zjeP6DByP/sCna3m0ew6uH9LpuwRhhGX7hBFc3xSOWtcPE6dzf+AnxODA8ZPq2p2+O5bBPiRmxN/7lekcL2B1qwMRtLs2QRjSHbj4QUSr6yb3txUHfnb6LkEQ0bc9oggu3mgkCRzDY0efk+0E3NjpJNcKwyipJDF63J3QtdyEHDt4H580tHvOfrBBRFItdoKPBpvVXvK8PT9iq7pf2W0YWAHgugF7zfHqJ92+RxhG9ONKOI2OTc/2sN2Adl8EW3QGLq4XjlWMa3Ztmh07SeAA2K716Q1cupYrlLIIqnEV+f7Aww/CZI27fkitNaDVcwlDQe4FQcTqVoe95gDXDajG68vzQ8IQ2j0X2wvxg4h2z6HTd7Adn4ET0O0LeRNGEY7rY9s+uw2LvUZ8jvjazXgutjr7c7Ldd4ki6FseQSjmaxBE2G5wT+u003MYTXl80PN9dAyOK8ivCR4vvHmlRhgJ8iQMI27udLi53SEII4IoIggidhuDZM55foDrhfRtsS/2Bx6dnofjBTieSFYaBib4fkhv4CUBSX4QYrsBu/Fab3WdZI57gdiPh0ZTo23TsdxkHwYxf+04cQTE2u3bYt0K/cAVJH8Mxw1Y2+ncdp4O39uuWXhBxHALvLopAjMSRPvtXQEGbpDoAP2BSLgYXr9nuWPX8vx9ufJ+8IOQniWO7Q28WCcRQS3tnpOcV1Sn2tdP7iQHOta+ftLsOtiuT7fv4bjiNwLYHL3Pe4Rl+0kCx92uP4rRY0Z1qAkeL2xV9+eLZfvUWjbbcSCV64VUm1a8J4p5F4QimDOMxhM4AFw3xHFDQkQgIZEwdC3Hhwh6A5cgCNltWAwcsRYs2xfVFmv7FVr6cQXpCSaY4OGiE+/lQwzlfqvrsNOw8LyACLEHdPsuvb532wQOgDAUe6rnh7EuLfaNrXof2xWvh3trf+BjOwHV1mDcJp/YdxNM8JGgNcKl+H6YdI0FYW8Pa+1UW/aY/rc+onP2Bx7V1v73Vrc6yd/tnkujvf+9GyOfeX6IZY/Y9yP2vzXwaI/wb5sjuvtWvc/QnAiiaOx6aztdfF+MOYpIAvZA6M9DNGJ+YYibIzxGq2uPHXtze//8Xcul1t7/3o2t9v6YbT8JfALG9Jue5dHqfbhOF13LSxI4gCTJHBizp8Q93JvMPMgbvl/n3wk+ORjOR6F7Bwm35vtRYo/XWjatnpvY/M2uQ9/2gQjHC+jbPt3Yvu9bLj3LpWsJLq5juXT6LgPXx/UDHDeg03XZrvZjXjyi0bZxXF8kiEewWeuz29zvTNk4IHfeD9c22kk3Wc8P2WsNcGO7YmjjDO35getj2T7NroPnh0TRMIHLToKER+VcFDG2vpPneMAuHvo7Rt93vVDYRAfQG3hJgCkwJpM+DDZ2u2Mc+Wb1/jmCCSaY4MFh1Nc45F0Hjk8YRLH/IqLWEp2+vSDCjWXSTsOi0RKJcyDk0Fa1x169R609SGy1juVwPU5S7Q88rIFP2xL+Rz8I2W70qTathN93vYBqy8KyPdo9l83dnhhfBF4QsbErEtu6lkvf8hjYPlEUcXOnSxQJmRZFsLEnvjdw/TF/rxhrRLvn0uw4BBHYbkB/4NOL/bcHcZBrbffcsS7FW7U+A0cEt3t+SLvv0ujYBGGUyFvhayIJgh/VMUdtySgSvpkJPh50+x+/j/p+99dEJ4r1E8FVRol/YP+4/bF3+i7d/uicHb+vnuWN8Rmb1T5RJJLKicSYogi6sT/0ws0GIBJQ/CBkq9YjjNeb4wXsNCw6fYfdhkUQijVTb9lYjk+774rX7QF+ENG3faJo35Ybrq1rG20RXN93IYJaR8iRYdzC5RG7yXWDMbtw6OMYOAEDW/A5YRSxut3BcQP6jnhmrZ5DFEVsVsX4h/LrvRvNj0w3GfqBh2h+guMgHhXcKYZmY28/bqBjuXSGayjeMwAurrZEYagI4UOIuUIviIhC4XPwgjDmKcR7fVt0yekPxNwbOGI/CYKIatui0XHwYxug1XOpd+xk3kcRrO91sRw/mY+NzoBOX/j8gjCKffPCt9jsOlhx7ILnh3jevfnsk2cxIgvCMBLr7QHB8YIkgQM+2TE/EzxeqLdt+raPLEsszUyS6D5tmKtk+H/87S+zPJul3rb5e//VC7zw+ubDHtYE94GDcWeP4/5Sbw/GePGt2uPXlfaf/vrrt7z3woVrD2EkHw6WMx4v9K0XVh/SSD44Ng/wwduP4Xx6UJgkcXyCkYmr6YOorqVp+xXzQLTckiUJXVdQFYm0oZEyVRRZZOHLEuRTogr+sILKXCWNqsgYuoqpi5anaVNFVURbYEmSMONqfHNxBwpNkZPvpwwFQxOfq6qcVOvPmCrsF40hm9ofe2bkb0WRmI2rhmTTOrIkKnAoskTGFOcq5QwqcaZiylCQZfEvwKG5HIqyf6FK3hw7v6rKSbUxTZNBgnxcIWb0uDshbWqMFEO8p+88rjh4b5/ke30UUM7vdzlRFGnsdWWkIoWiSJRy45m6mZRYX8M1mk1ppAwVVZWSyhgpQ0VVpKQSJggZUsjqY5UrSzmTdEpH15VkXQ/XiDlyLgA9rhKcjdeFqkgoisRUMUUpZ6IoUrLWVUUeGYeMIkukTY2UoaGpCroqkTbURG5pqoKmKZSyBvmsHt+7jK4r5OJzjs7JoTw09KFMUONWsfI9r+27vf6wOCjnTP3uLVwnePRwOG5PK0kSsiQxVUgxU04jSULZkiWJQkZL5pyqinlu6Eq8p6pkUhqKLKGpMrqqkE2JtSTLYq0OW8cpsoSqyFTy4nU2pSVVmrS44o2mifWZTmnkUjq6tr+O06ZoFzzcD4fXF+MXFW1nDsiVuenMbefp8L1KzkCWYbjFzpczVArjsmi0eo6oUCUONnVl7PopQx271vD+7wXDZwpCJumaghxvzBlTS2SOrirII8emU7c/f8bUEv0km1LRVSXRO4Y6TPkDtPQT+sm+wnAvcih7QF/RP0RV4QkeHkaraWiaTCFjUIw7mamKRCFjosgSUvzzyoh1cbueK4oqoSkyEmKdIMFsOZ1UrTN1FVmWyGeMZK7ruqgOV8jtV0A0NGELTDDBBA8XB/XL4d6QTWkUc0ZSTVrTFExTxTRU7tSQSZaIK0hK6PGeoasypayBoauoqpzsvSlDQVVkijljTNhM7LsJJvhoMKrTKbIkOtnFKOaMpMNGMWMmXBaM6xCGoZIbqWY8XdrXR9MplWx6/xrT5f3PDurVpdw+r6CqMrmRsYzquMWMztBEVSRpTK+fKqTGeLbRSr+j95pNa6RHrj01YiukR+wZYMyOMDSVXGb/PFMj96oqEtMjxxbz++PXVSXhKj4oMrHdNERp9DcYsafg3mXmp4k3nGAcw9/a1MW+a2piL1fkfS49n9HJpFTB16syaVPF0GRAQlMkDE0mZaromoxuqKR0hZQuOm+ldAXTUDBUcX5VlUmnVEp5E1NTQBJcuqoqiZyp5E0KWX3f5k1rY+v2/TBbTifd/RRZEtWgY31lKF9URcLQFAxNQdcUsqbgQ6RYV8mltYTjnDrAIVRuU4nwTv6Oe+HVhhxocq4HtP4qByoFT30AjmCCCSZ4cMik9rm8Iee4z5OI/Tub1qjkBf+iyZLoEJ41yGa0hFMFoX9Viqkx3SplqMyUM/vnNxThd0HIwmLWoJDVE95QVWRyaR0z9qVWivv6nixDOZ9K/KuGLs5F3IkMSHwz5byJJAkOZ1T+geCj06Ya7yGgqYJfTpvabf0YQ9mc3JOpjnV5K2WNhLuVZfFMs2ld+GFH9jMQ4zmoY2Zu8aU8mKroE7w/0gd87R+Hrnm/++u+r27ot5TH/IoHjxtewzT35+yt/rrx+x7aTkNbazimVPy9xbgTnqJIyJLwe0oSqKqEqkhUCiZpUyeX0ZFlobNkUzq6qpCO4w6yGRGjYGgKkrTvw01iJCoi1mBoAw27B6Zjf8PiSDc+RZEojehBIg5DwRyud0VGliRmSqKTeirmg4byrhz7ibS4e+HCgU5/D1I3+aj0qQnujDvF0FRGflfTUMfW0NBmX5zOII+4kYZcoSJJY77LZO+UxNos5UzMOA5A18ReKisS5WwqiQsCMb8LGX1M954pZ1DV/digbFonZQieQpKIffNK4q8bds4Y+kbv5Ku77bMZnX+S4BYeFHR1Pw7ilmtNMMFDxLDg4+J0JpH7E3y6UCmk+Id/5ys8fXIa1wv4R//TK/zj//mNsaTqCR5d3MkP+DihkDPGePFRH8Pjgp94Kn/Le1954thDGMmHg3YgXui5c49fR5TyAT74g8RefVIwYU4+wTi+XBTVI8KIuUoGJY7wmJ/K8qUnF1jb6aAqcGWtRTlvcnixgILETr1HEEakdBVdV3nvhmirO1M0ePLEDDu1LqvbnSTYK2WIhA4lDoweOB4z5RQScPFGHVmSUGRoDlx0XebGdoedRpdzR6e4fLPO5bUWXctlt2Fh2T6FrM7Xn1nG8QKWZnIsz+SotQZYtkfgRzQ7NrPlNMuzWWaKJtW4lWMURXT6DrmsjudHdC0XQ1d59sws08UUmZSOJEmcPlSi03dRFJlK3kRCtEBUFZnZcpq0qXFlrcn6ns2xhTxPHK0QhKIKyOpWm6WZXCIIw1BUuBg4PuW8yVQxhakrvH2tjqkrpE2NaxstlmdzCWn7ceLtazV2630qhRRPnpjCcgK2qj0UWfrQY6oUUgShqNiey+hjZMEEDxaX1pq8/O4Ovb7L4YUshxaKHJrLs9uwkGWJzxyf4p3rNdZ3uuy1LH79O1c4d6zCfEW0LU6bGieXS1RzBqrSxvVF9Yipgomhqwwcn1LOYHkuR9rQuLTWZLvao94xsWyPn/rcMhdWG2zXethewJ+8dJOFSgbb9jB1GUOVubbRZK/Z5/Bcnq1aj0bbRtUUTi+XhDPDVGl3B3StgJ16jz95eY2posm5o5W4Q0dIpZDimTOz2I6oUD9TSrNR7bKx16Pdd0npMvmMxm5zgGkozFXSlAspfvFYhUs3mqJN63JJJIEoEp4X8Icv3sR2fVZm83QHLl3LIWWqPHt6Jq6sE7DbsLh0s8lMOcWZwxWiKKLettEUiTASlTK7fZdWzyGXFq3FZ8sfvH2X6wVcWWuy07CYKac5sVzk2GKBzWoPP4iSZLkJHi/85BcO8advbHB9q0O5YPDs6SkURSWf0dipWZQKBmFcBcvQZF65uMNcJYsEZAyFarPPxl4HQ5O5ut5CVyRmpjK8+O4Wpw+XWdvp8pOfW+bVi7tYjk/aULmwWqNSSvPk8SkMQ+XYUoFW1+EXv3yE7bpFGEVIwLdfWaOUM5LgrijulpUyVHYbFrmUhpLR6Q1cpoopNvZ6nD5cpjdw6ds+K7NZ3ri0R9rQhPNBkmj3bb776jqGphCEEXNTGSq7bTarPZZmcnzh/HxyrWrTYn4qy+H5/XaemiqzOJ3l4o0GxZzBwlSWCGIHicah+TyaKuP5ITOl1C371cUbdTb3ehSyBs+cnkGWZd6+WmW3YVHIinudKadRZQnHCyjmDIo54USVJAnL9jg0l8fxAhRZIghDLq81mS6mxoKzMimNqUKKG9ttDs3mePHdHRw/5NnTM0yVUpQLKc4fmxobm2V7bFZ7SWC9H0QUssaY3NBUhYWpDJfWmpi6wnKcBLS61ebaRouMqfHM6Rl0fV9VP75cFFW1hnrdHeREcn1JVGEx9Ym6/yjh7OEy3311jb3GgErRJGOozJQMFKWI44bc2G6j6zJ9S3S2A4iIhHMsfq0AUyWT6aLJzd0eWiRTzmssTRf4iWdXqLUH6EmAl8KTJ6fZrvWRJYme5XJlvUnWVKm2B8yVxD406qy/HTp9l516H02Vx3RhgN2GRbvnkElpLExl7nqu2+nOw4pxlu1TzBrMfIg9doIJHmfkMzrHl4s0OzaZlJbsG4Wsznw5wzWzhSJLTBfT9CybprsvJ0ZhaOD7omuWKkFfdgmikNW4q+bNnS6VgsmRxRw3trvk0jrLs1kKWYOV2Rzv3Wig6wrF7IcLfp7go0UQhGzs9XC8gOlS6pZE/gkeXVQKKd65VmOz2mNxOsuJ5RIvvLGBLMs890SF/+LX3qTedliZy/If/rnz/MlL62iazM98YYV/9/1V9poWTx2f5r2bTX789g00VeZ/+yvn+M5rm7S6Dl84O0cxZ/DCG1vkMzq/9JWjXN/sMHADTq2U+MFbm7x1pUYxZ/Bzzx+hP9jCdgO+cG6O1a12omP/yleP86dvbhAEEV98cp4X3tziylqTpZksP/vcIV54Y5soivhLP3OaX//OZW7udDm2WODUoRJX1ptIksTiVJp2z6baGnB0schf+tnTvPTODpom85WnFnjpwi6Nts3nz86Tz+i8cnGXdErjS2fn+b0Xb9DqOjz7xBwZU+XtqzXyWYOff/4wv/PDVXq2x5c/szhG6j9/fp4/eXkD1/N57twcrZ5Lq9clbaosTmffV98BUcladCD1yGd0/sznV3jnWh1Flnjy5H4rclWROXO4zE7dQlUkFqbvrfqhCPxMc32zHetOk6qJnxbMltLs1PrkMgbTpTQD2+OFNzdo9zxOLhep5HV+/0ervHWtjuv4RJKQ9aoiY2gylUKWqYJJLmPS7TtcvlHHDUJmK2nSqk4lY4qOe3ULXVdZnE4zU0rHAVIq2bTOhtol8EUF6WLW4MtPLnJoPs8bl6v4QchTp2aoFEzevV5jpy44q2OLed5dbfDqxV1sJ+D88SmePTNLIWvwtc8uEwFX11ssTGV54miZjd0eqirz1Mlp/HivUlUJVZUpZHWOrxSpFExcX+xfTxyZptl1SJsa549PA9Do2CzP5inmDC6vNVEVmaWZLLqm3NHfcWQhj6ErgkMop28bzGLqKqcPl6k2hb10cP01Oja11gBDV1iaySXnfj+cXCkRhCF7DYu5cpaji4X3/9IEE0zwwNHsCJ3D0BSOLuS5ttFm4HjIkoShq3zmxBT11gAJeO7sHLW2jaEprO/1iKKIo0sFFipZvIWAl9/dJYgiNqtd8lmdv/rzT/C7P1ql3/eZLafoWi6vvbdDEETMltMcmc+zWe2jazJPnZgml9bIpDR+/PY2tuPzxpU9rm20WJjNICGKyoRByKlDBULg179zmWPLRZ4+MUPHdpmvZHjqxDRdy6XatCjmTE6sFGi0HXYafb769CLtnsOVtSY926Pbd7i01sJxPSr5NCeXi7T7Llu1HqePlIBb+ZhTh0ts1/rs1Pps7nXp9l0+e3oGU1f50lOL6KrMO6t1tFjneeJIGdhP2E2nVN66UmO73mdhOj3G3c6U00RAz3Ip5oyJrfIxIm1qnFopiW4zNYv3btTZqfd5+uTMWLG2B4nR/dWyRafxNy7vYegq2ZTG4nR2rJjRfMwdFnIGW3tdglAEnGuqwupWm4Ht44dhnAAlArznKxks2+PtazVcL8TQZd66WkVVZC7dbHBjq0PHcsmmdGYqKX71Gyd57b1dLNsjn9bIZ3Uqlk82oxGFIdmsxuaFLo4bsDiT5dzRCj98e4sghM8/MYuuyfzuD6/jugFTxRS5jEbP8lAliZNHKgRBRH/gYrsBKVOlZ7mkTI1O3yGKQnYafRamMlzfbNGzXHRd5fRKCUWRmClnMDSZYs5kr9FHlmVOLBdvSUA/PJ/nzctVji0W6PSFrvQTz4rYiUs3G0I30lWsgUdKV7Bcn6ypM1U0OXu0wqW15keim5iGymw5zbXNNkEQkU2prO10WJrJjf3OEzwYWLbPG5er1Ns2igKvXNjF9UPOHi3TH/g0OgOKuRSfPSX06CvrLTwv4LVLe2xVezx9osL6Xg+/2kWSQlRVIZ9RMVWZ9iAgCiMqRZ20qbM4ncFQFU4eLvP1pxfYbdqsbrfZrvXQQtHxZifqcnK5wHs3WxSzOj/9hUOcPlTkX/3RZTZrFnNlk5P1Cr4fEBKRTWksTWc5uVLG0GWmSyk8P2Rzr8fA9jmyKPyAjutjOR7Xt1qszOb46tNLHJp//3krfBEwsH3KBfO+EtLfD7IsceZwme268Kvcq80/wQQfNW7uiO61K3O3BiBP8OlBLq3zD/7Gc/zL37vIb3z3Kn/44k3euFLlb//qk3z29Mz7n2CCh4Zizkhiekb9gI8T8mmdMIx44c1NsqbK159ZfNhDum8cO3YMeOdhD+ND489//Qi/9seig0gho/C1zx56yCO6f5w/VkGW9vngxU+xzjWJ6voEQ1NlDt1BeTuyUCCX0Xnp3R0KWYNmz6HasDi+VOSQXiCT0mj3XNo9Gy+IyGd0enbA21f32K5ZRIigTE1VyKY1HC+gkjdp910qBZNrGx3y6R3CSFS8aHUd0imNt6/U6DseqiKzVV1jZT7H9Y0OELKx16eQ0dmuS9huwNc/uxy3V49QZJntmsVWrR9X+ZJ4/vw8KVNjbjrDj9/ZxdQUtmt9dhsDNFWmb3ucOVTGcQMOz+fZbQySVlTHl4rsNgd0LZGNmjJVzh8TZOa71+t0LY9i1sR2QxzPx7KDpFWl6wWcOiQIy81qL2nl0+o6dC2XN6/WCIOIa3s9On2XJ45UsN2As0crH+GvfSuubjR583IVgJ26hSJLeEGYtNJ9EGOaKaWTziUTfDRotAd864Vrye+217L52S+K3+3Iwj6B8Zlj03z/zS16lkun77G+2+Xnnj+CJMHSTI5izqBruRSyJje227heyNJMmnzW4KkT08iyhO36vH21Rr01YH2vR61tU2/ZpAyVhakMaztdrm+0sGwP09DQVIm+7bNaH2B7PtWWzepWV1QQlyI0VaXXczl7rMLxpSLvXg/Yrnd4d7WJIrVYmhGE/1w5Q9rUKOVNzh6dSu7rD1+8QRCI1se262NoCpbdFffSC1jb6XB4Lo/jBPzCl4+OPbe1nQ5vX6tzfbOFH0RcW2/j+QHzUxkcJyAII1bm8vz4nW2urLdodmxSGyq15oByXiS3bFV7yLJEs2uz2xgwW0rjeiG26/NhcGmtyTvXagRBJNoxByFPnZyZGNuPOX7/x6vstWyyaZ1O3+fH7+7xk59b4TPHZ/hLP13h3/7pNVw34Ppmm2rLYnE6y6sXd3nmzCy79T7bdQtFkbi20aJSMOlZHhu1PkcXCvzJS+t8/bMR5UKKLz+1iOP4/NYL1wGwdrp8+9V1fu6LR6gUUklC3ZHFIu9er/P6pT1A7APPnTNImRqbez38IGR1q8PCVIbOQCQpFbMGr1/a48hCgWbHIZ81mJ/K8vrlPWaK6aRa5tJsjneviZbje02L+akMvYHH6naPjKmx17T57e9f5xe+fJQnjlTgyK17jecHbOz1kopajh9wOt5bgSTZ8Ha4ud3h1Yv796UqorvJm1dqyXuZlCaufQCSJDF/oBLV6labWku0cW/1HM4drSRVELqWS601IJvS+YMf38R2Agxd4bXLVf4P/6tnKGbHnZBRFHHpZhPPD2l0bDp9h8PzwhDXVTlJEHG8gM3q/v3f3O5QKZj84K2tJFA/CCO+/NS+0asqd9brhgjDiPduNpMW9gPb5/zxqbt+Z4KPF//mO1eothwaHZu95oBOz2O6nOL5c/P82h9dptt3xhI4ALyRbUdUhZN55tQsL7y5SYiYG64HhxYKvHm5iqxIKJKMJEliLrZtpoopqs0B1daArVofx/UxdJVC2uDGdmes8vdBuF7A5bXmbXXhZsfm5rYgjVtdB0WWxipwH8RmtcfVjRaOK5IonzwxTW/gslXd16c1TZ44+Cf41KKcN8eq7YdhxGvv7XHhRh1VVdAjuLHTxgtCutatOqmqCJkxlCFeBMEgYOCI/9Z2u0yXUsyWM+zU+5w9KvaItd0upbxJtTlI9sBLa63ETpjg0cPNnS611gAQ+sv5Y1P33LlsgoeLizfqrO+KFtE3t7u8e71OPmMAAf/p//AKzY4LwKWbLb71g+v87//CZwH4vR+u0uw4aIrCd15d4+qG2H+9IOT/+a/f4ORyGV1TeenCDrmURiHu9PXr37nGM6dnyZgyP3prix9f2EFCYrPap9oc8NWnlwB470aT3YbgjnbqFooi80tfOw4IfslxAlZmhS76g7d3El39D168SbvrUsya1Fs2v/W9a5QLKSQJ3rxSZWALWXV1vcV8JcOv/MQJQNjsxaxJMWviuAFTiyn+wk+eBETC+bHFIgC242E7fsITvHWtlughtuvjeEFSSXpjt59UnV3d7qCrMoos0+o69xx0sduw2IhbeLe6DseWCmM6+SjSpnbfAVGW7bHbsIQdEMHGXneM25ngk4vtel8k+Gd0BgOX77+xwUa1TxTB65errO102an3Gbg+rhuKztiaqLqcMTWK2RR9OyCMbC6ttej0HCRJot1rszCVoW9q7DUtMmmNSJZY3exiGhqVfArHDUCCZs+hZwdESEiSxDvX6xxfLvJzXzySjPOdazXeuVbHD0J2GxZX1ltcvtlICo/U2wOiKOKrTy+hawpf/+wyX//scvL90eINVzdaNOLiS1fWm0SR6K5zdKnI06dm6FkeA8en2XHoWh5PnZhOEjn8IOS1S3s0OzayJDFwPM4enbqjv0NR5DtyCKPIpfWxTkZD9AceVzdaiT0eRSJ48l5x5nCFM4c/Xu5/ggkm2Idle1wZWcOaKtPsOrS6Qq+SJCnu/CvW/1bN4vThMkcXi9TbA65ttAHhM7ux08H1QwaOzw/f2iYIIz53Zo6/+ctP8tqlPS5cr/P9N7Zo9RxShsJ23aJSMMmldRwvYHWrzYnlEq2ei6mrXNloEQQRigJvXq2ix0lmuZzBRs3C9yPCMKLa2sYaeKzM5VmZzfPShR00VaGQNbFs4bdJp3Q0VeYHb26Tz+hs1/ps7HW5sd0hCCJUVSYIJGRFIpfSsd2AF97Y4pe+euwWX+aZI2VKOYMfvrVFFEGtZeN4Ad94ZhldlVmYySbdPiKEXB4masxVMlxcbSQ80SsX95irZBP9E0S3pscxIOmTgELWoNt3ubEt5vVuY4AkwbNnPrqqrLm0KJx0YbWO1fLY2OtRzBnMlNKJj3KIIT/vbgfJmqy2BnT6Lo4bsLbbwXFDjsznMQyFEyslJEni+rUalu2zsdej2hL6iGV7vH65SuCHdAce2ZSGHxT5V3/4Hrqq0Lc9OpYnklpTGn3Lo9l1uPFWm3bPRVdlVrc7WAMXRVEo53U2a31evrDDwA2w3YDNWp+pvI4sKxRzJuu7XT73xBxRLG/CKOLqeot2z+HmThddlXH9kLev1mh2HQxVQVZ8egOXp07OYuoKthvQszzSKZ2zRyq3VGCOoojVrTaarmDZPrqmsjSTZWOvy7ljU8na6lkuF1aFnyaXMZitpBM96aPSTSzbY6dhIUsSm/UeluMxV84Qwfv6Lia4f7zwxgbVpuB+vvPKOsgQBBFX1lvMV9LIskxv4HNoNguSRKsnihLuNAa8EYSoqowsgR+AqqjIMrR7HmY5Q9aQafUdwkgmiiRWZvP8jV8+n1x7r+VACM2OS6fnghQRBBGW42FoojhBs+Pwuz9a4/J6C9sN2NrrsbHXJxN3b5ovpxk4PvXOgLNHKizN5Pjjl9bo9F06fZeLNxosTmeotW2ub7aRZehaHvWWw9/8c+dIpe5eYEaSpI+0MIJpqBN7fYJHDsMkjonMnUBRZP7Xv3CWZ07P8v/6V6+x17D4B//0R3zh7Bx/45fO3dVXO8HDxWhMz+OIi6t1/uTlNcJIFJP7J7/+Nv+3v/Wlhz2s+8Lly5cf9hAeCP71t68lf7f7Ab/7g6v8/JeOP8QR3T9kWU744E87Jh7eTzHqbZswEgRcGJJUyAiCCNcNiKIoSXrww0hU02706Q58JCJsV1TPNzRZVJ2wPVHZ3hWBg42OQyFrMHB8gjDC8wKs+G9ZCvGDiFbsnO7HTl3XF0Rgt+8ycHzh4PIC3CBkbbeDH0QEQYgiK1RbFrIkYztiHL4s4fghihwRRsKQ9IMAWVapt+2xe+9aXhLgCDBw9gNgOj1n/Dm1bNHWNYbtBLf9njh2AJEIvAyjCCu+rw8b9P1B0OmPt0urt+0xIujg2Cd4NNHsOkkCByCIktugNxAEZxAT58NAidHfeeD4RFGE64m573ohvh8ShCGyrOC4AVEEVvwdL14jze7+mvD9kDASgRS+LxOGkZjfkvgMCUIZZElBUyM6lovriTXTH3jxOQKkmECVEEHhfiCu1Rq5Vq/vYbs+QSDkj+eHeL5IRAojQVBe3WhxY7uD64VMFc0kEcJ2Axw3wI+fXc92kZCIIhEA2+4JGeN4AZ2ecBa7XsDqVke0WNdVHC8AxPOKooggDHG94EOvnb7lJb9pGEbJc5ng8cbmXj/+K0o6Q4GYt33bw3XFOhjuiWEo5nG759AbeGIf84nneoQfhEjBcD+BtuViGgrfe61OM04aHAYejK7RURzcz5pdh2Gv62EHK9cLqLcH7DUH2HHwxGw5g+sFRBIw8IgiRPUrZNp9l+zIef0gpD/waHVtoohkje01rbs+L8cLE0cfgH0f62r4bIdo9ZxEhuwfc3tZeTuMrelIyI9hAOuYDLU9orhvteeH1JqDW5I4/CBKZKfrBYn8kCSJgetTio9zvSBx9Ayv0+m7ibMZoGPd+z3sXz8c128egv4xwd1Rb9tEUUgQ6+D1zoCe7ZEyVHp9G9+7TVn9UUTid+4M3P1EDwlsV6wpxwtRQ4lIJdnvLcdPqu0luoAfYuhgDTw8X+jlmnrnJI7x9XpnXfj99sjtWp/NODCy3rY5PJfDC8bvWXQIu/tjmGCCTwuCMKRjeYlO6wdCHw3C28uKMOSW7hwhIEeimneoyonNMKo/BIHQCUb3Dd8PRaCOPGnL/ijiFv3F8SdJHI8J2l2RQO24AYoi0Y2DlZAkupZHFIVIkti3N3Z6yfdGea2u5Sd6N0CwvzXjehF9KSATx8w1O/vfq3cGhGGUVJdvjej1HcslCAXfJsa5/9monR5GEe2uw2IcKNFs20SAhLBdrm22Ehm10+gzV953GLZ6DsNaULfTIYb2zehnXqzPDBM12n030dWj2FE0/Gxcd/eRTRVFl2/57G64X93mfjFw/DGdf1SvmuCTDdsJ8P2QjWqX1c0223WLIIiQZSnhDbwwJIrE3i1FEIUQShGuH+CFIfhCN/die1KKuTjbC5AVGT+ICGPuvDfCQzheQLvnxFx5SBSC60f4fkin7zFV3B+n5XiJfR2GImnDdn3C2Mx0/ZCu5eJ4wft2eB6uHy8Icb1QJKQrMo4XYDt31zscN+DGVifhFF0vSJJPPwrY7vjaHPKqE0wwweMBxw3G1nCr5yTyA/bl0VCHsEb2d9sd34vbXTuRg0EYMbB9bDfANNREP3I8wa0EQURAJLogKn7c/Vecu9Yc0OzaeF5ISEQYSoREKLLgDsNI+E1SuoIky0ShGPdcrPs0Yt0vCCOCMMKyA9Km4CQ7fQdNEfqc7QU4Xkj8Esf16fQccnHgay/mF2+n4wz9QUOM8qkH7Q1nhC+Fcd4yisR3R5M4Jni4aB/gxu+HK/+gsGM91xnZu+HO+vTBOdbpOxiaihfz6V4QogYyrhcgyxKr2x16lhsXTnKZLadpdOzEdzh6zWrTYnE6l/DkXcvD0FV6sS9u6IsIwghFkmj2RAG8IBTrumN5aKqM74exnzGglDUpZCNaPXds3dTj4gpOXIWnb3toqpLEPfhhgK6oSVJZu+8m9ovwRfi3JHEEofBLhkGUyIAoim6zjoMDrz96/WUob4fP2oll6P34dya4d/RGZK3jB7HslwjjOaJrEq4X0rFcVEWOff7C/9jui8JiPcsT/j1ZJvSFjh+GwsZIfNVEt8TSDByf3kDsd5bj0e27hJGwX3RNxXFF3M9ewyIKie0YERtj6iooMrYXiLkyMtdH9w/HCxJ+0vVDDFXG80IcP6A78N83iWOCCT6NuLnTBeDQ3MSJNoHA+eNT/OO/9w3+v394iX/3wnVefHeH1y7t8avfOMGf/8kT+3rHBBM8IFzfao/5Idu928cqPcr4o1c7t7z33bcv8/XzJx/CaD44DoRI8cp7e49dEscE+/hoemdO8FhgZTpDLiOqY2iazHwlSz6tk41bi+q6wtGlAoosoWsKigwnVooYmoyuqhi6gqYppE2NbEpjrpxBU2QyaQ1VkTiykEdVZYpZA9NQyKV1Zssp8X1NIZ/WOLaYR1UkynkTWZZIpzRkSWJlLsdmtYeqyDT7Lhu7PbKmxsDxkSTQVVF9Q1VF9e1MSiNlqqItakankNFJmyq6ppI2VI4sFvYriEowW0mPVd2qjFQ7XZnPJ45wSYITK6WxYIhyYf/YysjfiiJxdKmAoSuoioSuiraQ4riPP4tyZTaLouzf84nlwhgRNDr2CR5dLMzkyGf25+qxpeJtjytkdaZLaTRFQZYQc08an3uVgokkSeTSerzeVPIZHS2u/pRNaRi6wnQxhSxB2lCRJNGO8XC8LlKmiiKLLixTxRS6plAumkiyRCaWHZmURtpUAInlWVGBKZcxWJrJinMYGoamMFtKM1tJI8uQMlQURRw/xPJcjmxKJZ1SURWJtKmSTeuJPFJkBccL6NseazsddupWUpGkUjDJZ3RShoosScyXM+QzmpADEhyaz1PMGhSzBlIsGwxdoZDVURSxNeYyOuW8OI+hK6iqTC6jf+j1PFtJkzbV5JqTilSfDHzh7GwcDCWhylKyVvNZnWLOZKoo5s1UMUXaUFFkCUOTWZrOsjidRdcUcmkNXVVIGQopXSWXMVBVmbShMFdJc2G1KRxmhkqr6+DGTohTh4q3HdPB/ezwfF7sdxLomoJpqGRSWlKNTteUONA7IpfRyaU1ygUTU1eT4IxD8zmWZ7JJQHjKVJkppTm2WECLO3XIEjx18u6tOlOGSsrc31vvZ10tzeTG9rfD83lW5sbv9X7Iq9Fra6o8ph8UsgZqLBPmKpnk71JOZ2n61mtoqkw+K76fTeuJniXLEsURR2baUDGNfdKkUjCZLWcw9P337qWK6EHomjK2Z4xWc5/g0cC5oxUkSUZXZSREjIGiSLR7Ltm0TsoUe++d6t5LEhQyOtOxLJEV8d50yURVJIp5UVnW1BVyGU3oAnkzmcsz5TSSJJHP6KiKTLmQIp8VlRzvhJSp3VEXLuaMMR37/ebcaLMPSRL/K8dyCbhlrUwwwacdmqqwNJMlm9KQJEibKsW8Scq4PfGuqqIbxyjipUbaEPZxNm1g6gonlovJMWlTxdTVMbs4F+vdEzyaGLXndU0me5uq4hM8mkinVAa2lyRlKbKE64u/58uZJIFDkuAnn92vbn/mSCn5e2k2harsb6r59D7XU8hqzE3t25ij3e5OLpfH9vQnRs65PJPd/yy2mYc4PJ9P9G9Zljg+wkucOVJOkkIUWWKmtJ+0MVXY3+MVRWJlRL8d1cFVRR4L+hud3/mskejXw7EMYRoKmTGbYv9706UU5sj9lO+RAzuolzxofVpwMPt614Sb+/SgXDDZa1ls7PZAAkOXCUIRpJhLayzNZMmldBRJQpFAlsW6UVWZQlYnbajiuFnBEw65q3RapZQzKMV8nKrKGJrCYsz7A5TyJodmc5iGgqkL/i2X0shnDeYq47b4TCkzxlmdOVSilDeTKr7FrM78VHYskPdOGM5vQ1Mo5Y3kvPm0TqVg3lXviKKI0WZgknwnC+nBYLI2J5jg8YbwGeyv4cNz+X1+TBJrenqko/zoGi8d4DWOL+/7A9OGSqWYIhvrWofm8yBBKWeiKjKmLni4XEankDFQZCnxyxxezCPLMoauIEsSiiqTT2lIsaIRRZBLabG8k9B10WloKLufOFJGkoQMNXSF2UoKWZYwdJVDc3mmiuJ1IWtQzOjIiowiS5QLBkeX9quGL81kb7nnoe41XRLc0hCjfOqoDqSpt9obo3pdOqUxW3p8K8l+ErE0wt8L/vyjrySfz+jCZ28KP1w2rd/ioxzFqH6uqjKLMdeey4j1bMTdM8y4yKIsSSiKjKaK/3RN5shiAUNTSKVUZIlk3T99cgZFkTBjH+fSTA5JgsWZDJIk/JtIEoamoCoyJxaLKLLQu/IZnSMLhTjpNUTXZVKaRm8gErWOLxXGeP0TK0V0XSGfFjJgtpxGliXRJUESlfxlCY7GcQqj60yLr3cQYo3qqIqEaSgxJyTd8izFMSP6S/6jX4fZtNCZMqaGIkvJ+Msfw7U/jVgeqbQ/XTTRFDH3UoZKOqWhajKlnM5cJcNUMS382ZqMrkqkDZVsSiMbd3GSZQlNlcimtKQ7TdoU81OVJU4fLY9du1IwmS6nUGRZFEmQhY0cBBEyEcWswVwlw7NnZpAVUCQJXZGpFFOkTS22X/TEzzmcKysjcQCVgsnKTA5FkWMfvuAop4opKoWJj2CCCQ4iDCPWd+MkjvvoHDnBJx9pU+M/+LPn+Md/9+s8eWIKzw/5V390if/oH32bF9/ZJopuXxRsggk+CJ45MzPmozy1UrrL0Y8m/tb/4plb3nvcEjgAtAN13b753LGHM5AJHggmZfoeM1i2aO3d7Nq8camKH4SszOX5la8fY6tmsde00DWFE0tF6h2bH7+9RRDAkyemWZzN8OvfvkKtNWBxOsevfP049sDj7atVQsCLW/02ujZRKCreq4pEveOIqhIRNNoWUTRMthDVIGpNC8v12ar2GLgem9UOfiBaKI0Ug2ZlNs3ibIGFqSyqIlNr93nnao3VzRZBBPmsxk88u8jh+QLzlSwvX9il03dodmwGjoem6XR6Ni9f2EHXFNb3OthOQCVvEIQBnu0T+SE7TYsgAl2RubLR5NnTs+TTGu/daHBzp810Mc3plTKnDpVodGwsx6PRtnnhjQ3Wd3sQRQRBQC5jsjybS4LVmx2HS2t1fuM7V/CCkGOLBVbm8lQKIkC9kDUwNIXzxypcvNkkm9HJmBquF4wRpH4QcnW9Rc9y6Q08MrEBfXy5eNcAuvtFMWuSTWmsbnXIpFTW93qkTY3F6QwpU/vAjmjHC7i63mLg+EwXUxMD4QOg1XVY3WrH7WVztxBvQRByZaNFz/IoZHX+lz97movXG6RSKseXirx1tcq1jTb1lk05b/D06Wl6A59zR8rMldNUSinmSyZ7TZvffuEab12r47oBC1Np8lmDKAi5vNHij150URXwAkgbGhERs6UUqYzKy+/u4fkhhqYQ+D62F7Fbt1BUSOkqi1MZZioprm2ovHJpj51ajzAEVZHIZwx0TTgUmh0b2/GZn86wsStRb1lJFaDVrZaoDBKEpAwFTVV59b0dpAi6A58gDGl1HRQpolxM07VcupZLvT0gY6hUm32ub7dJ6wpvXqlybLHIkYU8uq7wvVc36A1cTE1mbiqDJBscXShgxRXIt+uia0Ilb5I2VGzDZ6GS5dRKmSeOVXC9gDNHygSB6DTi+aJ18kwp/aErSh1ZKJDP6FSbFtc227x0YYfL6y2+/tlF0ubjEXxVbw+4udNFQtxPMTch0xYqWTp9l3bfwdQUClmD7VqP//Y3rtKzA0xd4anj00gyDByPS2sDlmfzPHmiQhBK+EFItTXgq08v4IcRhqrQt116A5/Th8v4QcTNnTarm22CCDKGykwpha4q/OlrG7zw2hbPn5/nC+fnubHd5uULu7huwGa1S2/gM11KsbrVxvcDXnmvStdyRTJIZ0Cz57C23cELIso5g9OHy2xXO/zxyxsEQQhShK6pGKrM6k6HlCqzUevRH3gUsgY/9bllStkUdrw/HJkvcO7IOOH7hz++wQuvb+KFAZYlOlr4oSjPIysyC+U0pqnhhyGaItqE11oWYQiHFwp89enFpNKoJMGzp+fwwwBNkWn3HKoNkcDV6NgszWSo5E1s1+d7r23E1bkc+n0PXVf4M88d5tRKif/637zBG5eq6LrMr37jOOePT9OzPN66WiWMIqRIBIrYboDt+Jw9VuHFt7dxg5CV2TzvrNbJpjSOLxfxgohf/5PL7Db6TJfS/NTnVoiIeOXCLm9drVLKGURRhK6KBNlcWueJIxWaHQdNlZM19M0vHebmTpdcSmfpDkkcvh/ywpub7NT7lPMmX/vsUuLMAji5IvQb6R4C6if4+HHu+BR/8uoajuuLTjZtl52axdX19j19P4yg0XX5t9+7DoASJ1h6Tshvfe8aESLgK5fWyKYMwjBkaTbH2aNTnIwTk2fKKbIpncXpDKcOlSnlxufJa5f2eO9Gg77lcWKlyOJMllOHSrR7LqoqEQQhv/m9q9huwOlDJc4drbDXstitW1zdaDFTSt8xCWlhOotl+7heQDqlYdkee03Sz3w7AAEAAElEQVQLCZibyjBdHAm4/ICIoogb2x3qbZu0qXJiuZgkrE4wwaOMrWqP7XqfnuXiBSHtnsulm00a7QG2G5BL6WzUO/T7Pl54+3O4t2nwFgGGDvmcTqtjc2XdZqehsdfoU2s7KLLEl56a5+RykaOLBUp5kzCM7nkPef3SHpfWmqR0lS8/tUA2re/bi6XULa3db+50qDYHmLrC8eXi2B52ENc2Wrx+eQ8Jic8cnyJCVBDNZ3SOLYkgi516PykAcXypeEsFy0cF67vdMb7mdrKuPxB8jx+ELE5n79ryfK6SIWWI7oGlnPFAuYQJPjzCMOL6VptW1yGb1pgqpljf6Yp9WoKF6QzVpkO5IOzCy2ttJAnOHi6xXetguVDOqbx6aYf/929fRFbg60/Pc2OrQ8dyWJnL8ZNPzvG9d/cwdYV//2dO8evfvkrf9jm5UuDaRpudeh9FlilkNP7wpZs4bsC5Y1MMbI+bu13SusrMF5b4/pubOG7Ac+dmOXukwrXNNtOlFP/uT6/wvde3iCI4uZwHSWan3qeUN9mp93jx7R0i4IvnZ3G8kO1an6WZDLbj8qN3tpBliS+dn0dTZXbrFieWi/ybP77ESxf20FSJv/jTp/js6VkGjk8ha/DbL1zjtUtVTEPhm88fYnWrQ2/gceZImblyhtXtNhlTI2OqfOeVdQaOzzNnZslnDGqtASlDFHa5vNbE9QKeOTODbqhs1cSYsyMVPH0/5LuvbVBtWVQKJk+emGKzOtRH0uzW++w2LJZmsrT7Wd670USWYbac4fXLe7R7DovTWY4vFdiuW6iKzLGlItl7kD+aqnD2aIVWz8HU1bGgrYM6zPGl4j0l0wVhxLWN1i3y8X7x9tUq76420DWFzz8xS6vrYLvBbWX5vSCKIla3OjQ6D0cn26r12K710VSxP9xL0sFHCVOXuXSzwSsX95LOjBEi8SqX1qm1B6gKlIsmURQysEWgoAzs1C029/poqgjeW5jKMFUwUBQFVZXYqQ6oNi18LyAEDE3F9UJefW8XCdF1Y5j4pakyigyW5fHO9SqvX9qjkNV57vw8lUKKIIg4slAgY6rc2Olyc7dLFEWUsjrb9T7XNtvs1N/jhTfWAZlCWieSRGKGokqU8ymCIOTCao2N3X6SiDFTTjNbSrNZ7/PtV9f5je9cIZ81eOJImZMrJZ49M0un5/L/+84Vtms9HM9nYHtYdkAurXNipcg/+Y03GdgembROMaMzVUpTyZn4obi/nuWxVetRzqfwg4BrG21kWeK5c/N85vgUiiIn+7EsSbiez5X1Fn3b58hCgXNHK6iqnKzNds/h+qbgb5dnslRbNpduNpJg0I29Lje2OkwVU/zU51eSfXvCmU3wacaYDhRzZqMBxveLH769yUtv76KqEj/7/GGOL98+OERTZc4erdDsOhia6ACux8WTFqazBEGI7QZc22hiuyEXb9Q5NJ+n2hywsdvhvbUWYQjZlMpsOcXN7Q492yf0Q157bxfTFFX0oyhAU0VSneP4SETk0jqvv7dLzxbV6L/3+iamLrM4nWWv1ce2A4IQNCVkoZKnZ7u4HR/f90EzMAyVwcAjn9G5utHkxbd36Dse0wWTakvYgqosYTtpOn2fy2sN1nfznFwpc/JQic+dmeXmdofV7TYRESlNpdt1sdyAge3hej67TYvDc6Lonq7IXLzZ5PJ6k1MrRQIiLq83KeXMJOEDhL3hegHXNttkUxrdvkOr57JT63F5vYWmyqQMhSeOVDg0X+DSWjPRI77y5MJY0sz9YK8pEh4VWUo41AnuH4Wswc89f5itWo9SzryjbXm//t5aa8DaThdZFntc3/bG9K18WqPesugPhC9vppTiXBwY7gchV2O/ZzEn/HWmrmK7PsWsgR+E7NT7uF5ArTmg0bGZK2eotQdEYchuo89ec0CnLzoIXllrIEmCE3D9kCCEgeuxVe1xZa2OoigszuS4vtnircu76JrGUyencV1hQ4sOBxKLs1nyOZ23rte4vhli6iKYfOB4RIjOZc2ujR9EvHpxh4urNX7nB6siQD2j8+UnF3nxrS12Wxa6orA0k2J1y6ZvuxBFTBUNepbP99/c4qV3tzk8n+PSWhtFhtmK4Elt16feHvD6pSq19oB2z0GSJExNZqqY5sRKkUrBpJzf1yleurDD9c02l9ea+L7omnZkscjCVJYvP7nAdr3/oe2D20FTZc4dE/L2xEqRCJFQMFmrDwYvX9jh2mablKHytacX+fwTc8yUUjhOyM89f4h//ccXeeViDVWVaHcd5qZMBrbHv/3uFRwvxLL9pHuHpsmEUYRjhxykEZs9h2NLRcIwYLNqE4Rw8UaT/+E33xHxP9FYgysUWRRoPDSfI4p9hu+u1tlt9FFVhemSsCPmKxlWZnMMPJ9Gy0GWJI4t5jm6KGzBly7s8M61KtfW2xia4AVzGZ1nTk0zVzbZqQ+Yq2T42jPLKMr7246N9oDf+M5Vtht9MQ9TGqahcupQmefOzT+4H+YBo9m1ubHVIUIUqvik+PHCMOJqzE2kTRUJ2K6LPWFxOsuxpeKka9eHxGa1h+OKrph3440n+PRiZS7Pf/Y3v8gP39rmn/3W2+w1LP7zf/4Sz56Z5T/85fPMT03mzQQfHnPlLP/JX3uOP375JpViim9+6ejDHtJ9I7xNYlMYRvsFHh4TSAdu4+jy4xe/a9kipqvVs1mcFraMLH86/Z2TJI7HDDe2ReLCG5eqbFb7FLM61zfb/PCtbYw4+GEQ+Nzc6fDOtVrSSvPl93a4eFNjp24BInDi1/7gAm9dr6PIEoOBz82dLoosAkmDMCQMAKKxRIz+IERRJRj4RHFmftcV7RYjorFWPeEBYbG+a5HPmFgDj3xap9Xx2NrrYrshmiZjDQKub3T4c187SRhGSBIEQYTrBQShcPwN3BAFaPVcgjDCDyIc18fxQ7JpjRt7PUCQQX4QUimkuLDawA+jOLBDodl1+N7r6/ziV44xVUzx5pUerhfy3o0mja5N2lCxbJ9KIU0YRuw1LeYqGcp5nR+/s0MQRLR7DrXWgJlShnrgsDCdw9AU2j2HTt9jtpTm+lYbKYJi1uD6RpsnT04DQrnu9F3aPYfdhsVMOU0UiaCdB5kQcfFmg3bPJWNq1FoDrm22Oblcom/7LM588PZ667td+nHL2d2GRT6r3xL8N8HdcXWjRRgvkOubbYo5c4xA26r16fQEydLsOOTSOl84L8iGd6/XaXZsLq83IRJV+f7gxTU+e3IGJImpYoozh8sx2enz0oVdBq6P54W0ejZnDpe5vN4CIroDD98PUWSJTtzC1/NDmtcc0X5YEu24f/dHaxxZyOP5IUEUCeK0Y9OzfbqWx7X1FkHcsdz1I1pdG01TqBQUtmoWht6k1XN49b09Bm4YtwsX1aZkKUCSRNtyUw/pDNuxAgMvQAJCRWK7ZiEREXd2pdX3EHFKAW03IJ812Kr1cLyATs+h0bYJgf7AB1kmnzGptxscmS/g+iHV5oBOz6HbdynnTXRVQVJEpaxbK4A/eEKhUkjR7Ng0O6K1XKNt89p7Vb781OIDv9aDRhBGwokd/xbXNls8c3r24Q7qEcB//euv0x94qLKM64X8/g9XyaQ0Wj0PiZCOG3DhRh3TEE6/fNZgrznghbe2mC5m0FTRBWevOeCJw2U2az1cL6KSN7m506WUM7i53cXzxYPvWC6GKtqI66rCdCnN997Y4NShEj96e5sgEGRZtWmxOJMViXxGjf7AZ6veI5vSuLze4vB8XuxLlkc2rVHr2FQbFt9+ZQPHDQiCkCACiZCB4zNYrVPOm+zWLQo5nf7A53d/eIOf/vwhwgCOLhQBeOtajWfPzAHQaNn8ySvrRBFsVPu4rk8+o9HsuGRTGkEU0ew4HFsssL7XY2Eqw/pOlyAKyaYN3rpaZb6SRlFEZ7CFqSzNrs2TJ6d591odPwhZ3W6zUe0xX8lg2QHvrDZEYkxzgO16vHmlRjErEi7/8Mc3sG2PVy7uAuDbIb/5vWt8/qwIjAMSZ1Qxa7BV63NoLsdr7+2JikCGxlvXasxPZQhj/eLqepPNqtBBtmt9LqzWyaZ1upaHqihc3WwTIaoPX99s8+SJaVRlv2PXEGlT58zhyl3n2uX1JpuxvlNtDnjzcpUvjBDSsiwlnV8mePTwm9+9RhSCF0bYjo8XvP937oYgAtcP2Gz0kSQIY108CBzaPY9sWmdzT+i6jhugqjKaoqCrMqoiqkGOEhK7DYsL1+t0+sLZevFGg7SpkUvbCSn8O9+/Ts8SuuA71+osz+awbJ8oErr7dq1PMWfc1nm3MCUq3lm2j64q7MRJlSCS1U3jw7eAbnTspDNXz/LY2OtxZOGjrzg4wQQfBpYt5qrrBazv9mh0bGzH48p6C1kCPwxpdmz6tn9Le9x7gedBtWHjeIHo/tN1aXdd0qaGosi8/l6VowtFnj+/cF+Ow1rL4t3rdQC6vsuL7+4Im3NoL9YtChkjCV5s9xx2Y07Csn3Wd7ucuEMglmV7vHG5ih1zGi+8ucmJpSKGLjqS7Tb6lHMma3EL+SAQRSnOHZu6/wf0EaPTd9muCXk3CHzWdrucvE11otWtNo4r7ndtpxt3Nb0zbTdxfD66qLUGNNo2AJ2ey+pWO6mKulPvEyExVTQJwogr6+1kL/7TN7aQJIWUDp2+z4vv7InCCiH8zg/WKOZNNFVhY6fHTs1KKur+j7/7nqjSrClcuFbH8SIUWSIMI373hzeTKrcvvrtNGIbomoofRvzzb13kMyemkWWJF97Y5vnzcyxOi+C97762mdh8F2+2yRgSpmlQb/a5vtlBjxOHvvfGNscWcmRSOtWmzTvNBqYunPU/eHOLbzy7QjlvcnmtxcsXd0QhBxf+1R9d4mufXSaX1rm81uDFd4Vu7vkh//L3L/HM6VkMTeHi9TrtrpMUv/iN714VXIIs8eI72/hByFQhRX/g8aO3t5Iugi++u8OplTK5tI7vh2Oc27ur9UQH2alb1NsbHFssivt+ZQM/CDF1ld3GgO+/scGhuQIE8Mcv30yqZ1/fbFNviyI5QRCwutnm/PF7kz+6pojqvwdwOx3m6OL76zC79T6truAWWl2H3Xqfhens+3xrHK2uzZtXaoBIcvmDH9/g/LHp+PxWYkvdDxodm1rr4ehklu2JjhcM94cOZ4/e3c76qPHapSqrW21cLxjjzHt9j22pS4RE2tRw4yIi+ZROx3LFnioJnt3xIhptCz+MOLVcJJc1eG+1QRBENLsOYRihawqW7dC1PMHvx/y5rklESKiKTMZU2W2J85i6St/2+OEbm5w7Ps3STI4wjHC9kL2GKMRSb9k0u068v0v0Bh7tnstU0WC3LqGpCoWM6Prb7bmsV3vs1S0ioNmxyZgqqiazttvF8USRBM8PGbg+mbRGytBodm2+/8Ym1abFbr2P4wYMPFG4wTRC3rhUZWk2R7Nj4+yKudTquWyZKqdWylzdalNtDcildS7eqFNtDeIOwxKvXdpjupSKi22Itb9Z77FZFcUpgjDi5nYHU1d4/vxCkhh5daNFEBORr1+uMnB8+gOPKIr4wZubdPouuqawVevzw7e2+JVvnJhwZhN86jGmA/Vdtqo9Vj5AIiBAuzfg+2+IhFLHh9//0Q3+zh1sBxCJkjOldLIHqLLoNrHb6JNN6bS6Nmu7PdKmGhePGeB6AVc3WgzcgDCI6A9cdup9NEWmN3AhgoEb0OiKQNQwirBdl4Htk06ptHvCzzdM4BjCdkNubHWQZPDjj7wgYm23Ry6tEYQRiizT6jlxMSyN7sCn1naIiJCQWN3pQgiSLLie65s98hkNP4i4ut5itpTi5hY8+8Qc+azBkydm+OHb24SBT8dyqTYHFLM6m9U+estGVxQWprO8fXUPJQ6I+OOX13FcPylG9+1XNvj3fkpUHxW+0QEZUyOKhBzMpjSubrbZbVhkTE3YeRK4nj+mR/zw7W1+6av3XwHU8wNubHcgEs9t1K86wf2jcA/62/rOuL+3kDXumHzoB6EoThcBAVxYbSR+zSAIePtqDUmS6A98Gh2HlKHSH/i8dqnKl59cZKvaS/yejbZNPq0zU04nSc1X1kXRt7XdHo7rE4XCFz9TTCMpQs91XI9234EoYuAEeF6A44VJsLnrgSxF1NsOKVPjwvU6YRjFvkuPN65WmSoIOREikdKFr+biaoMgjHD9ANcLsF0fSZYI/AgvigjCECkCXwLHc1EVGWvggSTxW9+7xsD1gQg7DPj+mztIkkQQRURBxPpuH0NXsRwfkNhrDkCS0FWZwXYHTRXdDF++sBP7LkVhqwiwHdF5851rdT5zrMLqVoenT5ls13pcvtlkt9GPdZsIkAjCJoam8N3XNpgtC3uj1XXYa1gPNGhzKG8neLDYrvW4dLMJCI7tpQs7/PQXDid2/5uXqziusAtcPwRCdmoDMb+9ANfzsN39TtiuHyBL3JLAARCEcGOrRRhJ47E93BrfMzze80WClaYp5NIarudxeb1FpWCSNrS4O5RJEMH6To/ZsphzV9ZbnD5cYbMq5u3N7R4DN2DgBLHfUgVZQlVU5ioZ8lmd7VqPuXL6fQuW/Mkr6+w1B3T7Hus7PcoFg5lSmqvrLRansx+o2/1HjSiKuLbRTuJErm20KJ6efeyCRm+HvaaVcBM3tzsEsRyPItDUASDx2dMzD3eQjzmubbQAOLZYeGDJeRN88iBJEl96coFnTs/wr//4Mr/5vau8cnGXN69U+Ss/f4Y/+5VjnwiZM8HDxcJMlr/yzbMPexgfGP/wn37rlvf+xb/4d/y1v/ZLD2E0HxzugTiTv/2P/pBf+88fr3t44/Ie9bbwIaztdLlaad/Wf/ppwKczdeUxRhAr9H4cxDnMDhscWJlBGOEFI1ZWJIKkR9Ed+GOvo7iFu3gRn/82Y5CQQBpmoEmJU+L9GnBF8WmDIMIPBakSHPiyG0eyRZBU8V2eyXF4Pk/KEAFnwzENnSheGBJFglSMoigODo/i98TRA9sdG4s3Urp0+EyDmBVJgt+Gzzq2XoOAxKCKEMeFB84x/DyMy6kNf59gxOIdO2bkdXA7q/hDwI+zb4a/aRg/ryD4cNcJD4zz4OsJ7g4xR6OR1/u/0RB3e8ZhGIm5kizVKPmtDx7j+/G8Gs7bcP/z4TxPzjPyOjywLsMoStZ3NLI+gnjtHUxSHd6T7/vJMUEQJsHnw84+I5cQ/0b7a2f0WsPjb5lpkgjckGRR6cXUVeQhOQpE0f6aFvIhXufxPQUh+GGEJEnkMjrlnPGxVu71DkTgHXz9qGIoX4cIYtn7accwaXI4U/3w1rXph6F4XiPvOU4oul0wvmf4QSTWakRyPlmRUBXR8UZCKOVBOLKOIlE9a39PEglTxP/5QYQXDPfM+LyB2PtVWcbQVBRZxvWDW/akcLieomh/L4zP4brhuM6BuNYQbuDvz5nhnh2/DuLBjcrGMP57VFY4rqgmNTb3gjD5jh/v4cPPPS9Inn8QEF8z1hv8kK41rhf4QTi2Pw7HsD8mkt8uQozNi72wwwCXUTh+uP/7x3Jt+Dt/2P3e8x9P2TGBgOfvB21J0gMyxUJu3SRH1kMQrx3fD4jC/TktPhv/ohfr4gd12FFdxD+w3j0/vEW/vJN+KEkSC1NZji8VyWXG99wHpQsfPM+H1X0nmODjwHDejtpuYq1FiX78YddIOKKAJyr3UN8P923x+8Ete5IfJvr2EKOvb1mfd7mnIIzGZEkQRvv8AWJt38/5HiZueSZ3kEuPy/1M8P4Y/e2iKBr7zRVF5tBcjsXpLPPTaQxNJW2I/yJEANT+d/fPOTodRGDF/rwKR/TBg1WkRl8JHXt0XYVjx43qtLeaeHeYj2OcgNCTdU1BU5WxsXi+n+ghML4OnAN8pe/vvw4Z1z08f/z5eCOya1QmicD128uf0XMc/J4XhGP2lT9CnQ65WPFZNDaug+v8g+BWGXBv53wQsuNWG+PDn/OgrPs4ZdqjyF16figSqA/4ySVpn2eJoogoIFlU+zz9/vEhMa8Xy5YwivZ5MLhF349GbNooGv88ipWBKOYLRn8jJ14nUXzuIObyhyskjEICiIMMo/3PI/HbhyO6jZBt8bhHuMEo2uerPT+Mg9HEfQSI7pi6JvwBw+UcxbpRGOsJQ05K8Hz7tsuovBkeN8avRsPv7r8ePtfR7w0RBOGYfPb9/WOFPNjn4cdk94Qzm+BThgepzzru+Hoa3YfvhoMyf7g+h/v2UIUa7n1h7GvZd42KgnWjZxnygaN/R/Gxd71HCYQXVfwvikTxOlWW0FUFVSVJEB3yrsk9H/h3dEsQclvs1+O+I1GEa+gvDSNGuNP435E9X8jr/eGO6Vlwiz0m/o2fG/vn84ODNuAH+91H/V5izBPO86PG3ez3gzi4xx383Ydryk90jWjs/feTD8Nr7/vw4piC2J8pySLhSVPksf37tmM9cM7hXhwciK0YcgzJXB99HQk/jKrE61gaOySJD/CCYPz95Fzjr0d9q6PHD+MVDr6f3MuIj2J4jHvgO0FybuLPD9hXE//BY4GDPqaDHHwQRmO2cxT7uYdxMbcVvXeJ0b0fEStLoKsyuZToIpjowez73pL9JgjHxuIl+v7QnzbuD018lgfW353W9yg8fyS2iXH9/qCN+6ggOnBvQzvwk4CD8VDDGBEY2l+P5m/yOOHqRhuAY0uFhzySCR4HmIbKX/3mE/zjv/cNnjoxjeeH/Pf/7l3+z//dD5OA6Qkm+LTi4rVb39tyPv5xPGi47vsf86jhbr6aTxsmSRyPGZams0gSnD5cIpNS0RRRTebpExXSpiqCHKOISiHFmcOlxDg7NJfjuSdm0VUJxw1IpzT+0k+dYK6SQZJldE2mnDcp5gx0TcE0VGQ5IqWPTxFDF6RFIWuQT+ukTIVsWkVTRcWKuyGXVpFkOLyQ59BcDkOTmKlk4izhCE2V+bNfOYrr+bS6NqWcTqMzQJagnDc5c6iCqcukTBVTV5grp0kbCvmsSdYUbc5nyxlMXSFtaJSyBooiM19J841nlsnEz0dRJJ48NYXnBwwcn5lSCi8IWZjKIgN92yFtyhQyOpoqJ9UqdF3hs6dmCIIQQ5U5tlTAUGUKWR057iTg+QGmoaKrCqW8IaqYSrA0O96GWFVl8hmdXEankNVRVZm5yoOtWnHqUJlsWsPQFXJpnaXZLLIssTD9wattuJ5oM6soYmJl0xrFSReO+4IkSSyPdEKZn8okLcUdT8zJ2ZHqEoYu2pBu7HVptAcszWRJGSrlvImpK+i6wvPn5pNs6UJWJ5vSKOUMPN9jtmSiyGLdloui48eZw2U0VUYBDENBIiKTUpEkyKZVTq4UkWVEkoQETxwqMVtKYRqinThAMadzZCFPOqWyOC2qakuI4w0dsilRdaOUNXA9F8f3OXOkhCoLokeWQZXB0GQUCdKGghYTQPmMhqbKYkxIaIrEVDlF1tRRZQlZksikVHQFZBkqeROImJtKU8mbHFnMo6syiiyTyagsz2TJpDRmyynyaQ1FEeOaKaVYnN5//qW8SSalYjv7URquF2DZ3vsSKJ4f0uraSWXye8GxhQKFrKgypMgSh2Zz9/X9hwVVkceq9izP5JCkuzCBnxL8tW+eBUJcXzjov/rUIl/57CKaKiHJMpoqc/7YFMeXChi6hDVwSekyP/elw5w7NiUSkiSYLqWYKaU5upgnndYIw5DZcopK3uTckQqqKqOoEsW4xf3KbA5Nlen0HU4tl8hldE4fEi3KF6azTBeFjC7nDU6sFDl9uEQ+o6MqEpWCSdbUWJjKJMHU5bzOkfk85///7P15kGVXnt+Hfe5+79uXfLlnVWbtVUAB6G70vkxPz8bZOMPRiKQki5RI2dxkyxGMsBw2Qw4rLIuig7Id4YWSLZkOiqJpkeYMZ+EMOcPpmenG9AY0lkKhUHtV7plvX+6++I9z3833sgq1oIAuFJDfCATqvXz33nPvPed3fr/vbztRR1HEmBQFTE3svY2KRamgk7dUotTx+PNfXuXc8QoSsLk3IIkTFho5ugOXXs9mr21zYrFMHCeUSwZ5S0GRZUxDIaerWLrKTMVEliSqBZ28qTJbs9Lq4NComMzVTSpFHV2VaXZtqmmV8IWZPLbrU80bNCoWiixhGQonlsucWCph6Ap5S2OxkUdVhJz9wsV5vvLSMoszYm+WJfjchXl220NyppAHs1WLmYpFPqdTLxv4Qcip5QpaKi9W5grkTA1JhmrR5KXTM+R0lSiKyekqX3xunudO1NF1BVUVHTeKeR3bC9NuIcF9A4mSJMF2A4K06tf95M/plSqFnHhfhq7w/PusKDu+1vsJ2o1icWz0CXAAje/1g3J2fePlFQxNoWDqWUvpJ4EMaLpEwVSRErG3in0fUckuSbBM0Vr5xPEKmiKRkFArm+k8m07qXmzkma/nKFhiL15dKCHLZHMO4IXTM8Sx6Ky1MJNjvp5nebYwpYuMq+hNIo7H81s8y3LeoJTug7IsZZW/x4iiWMyzx3T+10tmlpSpKFK2Zx2+vuuH2G6QrbmPM1w/nNJvjvDRggjqFGvH0IVdu7pYYqmRE3u1paFrCudXK+jqvcGfD4MEWLrMTNnENGRkWSJvadSKJooioSoS8zM5LjykE9TBeKN0D4hQZKFjiIp/Ec+dqLHYEPIgShJUVaI00ZWnUjjo0pMkCdWi8Z6BtQVLY22pLAIlJLh4coZyXlQENTSFuVpO3EfaYUCSYHn28SrP/6hQzhuZXHyQTb48W8gCQ2plIctsN8B7zL3a9X40a97xwsce27OM3tClO3Afybk+U7EwDQUQAciT+tq541XypoaqSMyULF4+10CSJCRZ4osX51EUWXBLusxiI5dW0o85v1pBIsH3Q6oFjRdOz+D7EVEc8+WXliARlWMXahaWLqXFGBLOHCsTRTGeH3KskaeUU9NA5IQf+/RSFghy9liVhUae/Y5NEIWsLRazgIxyQaOYN3G9AF1XOTZ3MIePzxfIWTqOG1CwNF46PSOCneOEL76wiKyIrggnliqcXC5nydZfeXGRIBR7/dljFVZm84RhTJLE/ORnjzN0A3ZbIxaqFmvLooK3LEv8+GdWABF0eGKpzLH5Av2hRxjFfPH5hYwHPb9aY6Zi4fkhsgzz9Rw3Nrpcud3i3PEauq7QG3loisTnn5tn6PgMHZ/PXZhPu5RGFPIanzqbVn+W4AsXFwiiiN3WiEJe4+LJGTxfFK84XOFzUq8/jMM6yRiHdZixvfIwzNVyGJqYb2P5+KgIU32rXrZYSmWoJMEXn5/PdLtiTr9Px9KHo142yZmCK1YVmcUPsPrvw1DI6VlnqY/K/nBhtZYWKVKRUw5NU6BU0GlU88hyTBxGVIoas7U8SFDKG5RyomDJGIYiszJXZK5WYLGeo1o0kOWEnK5gagqWoWIZCuWChqEplPMmuiZj6DKmKlEt6UDCXD1HNbWxc6bK2nJpoqNjQr1ikDNVrJRXPj5XFDqJKipHV/I6qiQJ291QyBsaBUslb6msLhaplgxkSczrnKVRzKmcPVZhdamEIkuYurjucqPITMWilNd56fQMqiKRN0Vi21wjR95UKRUMPnVuBkWRKKW2v6krzFYsjs0WBV9dMlmcyROEEbP1HMcXSiiyjKLInFouUy2ahFGE5wd0hi6VgsHqQpGcpaLIolr56kIpW0sg1tbQ9vGCiHPHqyzPFlFk0cnwxEqZWsnC8wMMTeHc8Tq2GyBBZn94QcR8PXfEmR3hE4VJHUhTZRbq71/2z9ZynD0uqi9KEnzu4qN1tSnkdKolIzvuwmqdKI5TuaOg6zKKLLG6WKJcMFiZF76EvKUIv+NMDlNXKJjCj6BpKeeSnk+VhB9BQvAtx+YK93A7EpAzwNKEz0NRhI9jtmpSzGloqoKuScxW8pSLBoEfoukysxUTRU6I4kjwoJqEosjIisRs2UBVFQxNpZ4+54Vajryhoaoynh+x1CigKhKKDMfmSpimSqOSo1TQWaznCeOQlbkCvaFDf+RxYbVCo2ri+RGyAl98fiHTDSRgabaQ2XrnjlfJWRrH5oSsHAfynj5WZaaSY2m2IDqwxzEvnKq/L07H1FVmx3qMxEeygvr7xQfNL35QWGwUpvy91fv4e10/xPFCNFU58GNLsDJbyPhCEbdQwzTF2jF1UalfVcU+HEYxC/V85veUZZCkBMcNM558ebaIJMHaQhlDUyjlNYqWRiGnYWoqlYKOpkjkdJV6WegCtZKJohzEqauSGEvOVFBkOLFURlEkDFVwH2uLJRQF5moWqpxQMBVMTeLkYgmSBE1VUDWZatEkb2qUCjqFXKoTmarQm3QZRUrIGQpJHPPpMzOYuoyU+lNfPDmDpsnoioREwkLNQpYSCjmhR60tldBUiZypUCnovHBmhiSJWZzJI0tgmaqQGaqEoSmYhs7JpSqqpmZrYqlRoF4WPmJDk4X/VldYmcujqwpfvLiArolnrcpS1gHow0IYxjS7Nq5/xD0+CZYahaxzu6JIXJzoNBvHCTMVk5fOz2LoCqoso6sKszWTetlEUUWcja7LE756EQfwXqgXZHT1gXkeGRRZwjJVvvzSIs+frAmbRpaYqwo/QrmgM1/LoSgSS40i544JH6UkwQunBB+y3ChSLwl+TJWhUbGolU0qJQtDl5mpWCiyTLUofAZhGGXc1mGea7xXff75eTRNQZKEDjJTNinldepli2NPsId0By6trn3ffWzMYxzmM8d86cM4I1mWpuzTxUYeRTmIx5rk2t4PJ/g0MVu1MHQx62ZrFgszBaolE02VKeeNj9W+PgnHC39k8u962onj1HLlR3K9I3w8sDxb5D/9K1/kr//qi+iawhvXmvxH/+U3sw7rRzjC+0EcC/3Pdp/BrAHgv/s//NI93/2v/+q93z1r+Cd/59m7h+dO1NFVoT8U8/onOlHxwVH3R/jIoVoyeemMSCT4xmeWaQ1ctts2N7cGbLVGlPM67YGL44bkLY0vXVxEVUR7zptbfWRFYqZi0iibWDmdv/03vsJb1/d583qT6xs9OgMHVZbxwxDbCxn7E6tFGduJKRVz9AdO1jo8Z+nMVfOggKEq7DRHRHFMq+eJFo0xLNbzxFKIrKh0+y53JYlq0cB2QwxNRlNjCnkLU5NZ3x3wnUui1ehbN/bppa1Vy3mDk8tlqiUrJZEilupFvvP2FnvNEY4fsqykQSGWmjqHdGarOYIo4trdHglQr5gEUcKtjT5XbnWwDJUwTgjCmLs7fd68sU8iSZiawvnj9Xu6DJxbrSFSTuDkcoViTuPOzoAfXN7lrZtNijkdU1f42qeW+PS5WcIoRpFFW/kxLEPlxdMN/LQlfBjFKZH7weZU5UyVX/jyCQa2T87SSOIEVZWzgPXHxV7HzloZlws6x+dFcOyRI+rxsTCTp142SSBzDu60RtzdGQAiiPuFdI6oMvzjf3WVzf0hkgSfPT+HZaicX62RM1XOHq+QtwzCSFR9VxSJy7faXLqxz7ff3IYEDFOloikoqiBUi5aKqUv0SUTwp6agaYJwLOR0js+VKFsqd3ZHQMxcvcBiI8/nn8uxvtvnzs6Aa3e6rO8Mcf2ARjUHRJTzFot1g/U9h9bAZzDyee3dXVw/RlVkSnlNtNiVRZCIpoh7Hzo+iizj+R6lnIVhyGiqRBBCszPEMgzmGnkW6ybNnsvA9rCdmKHjU8pr+IFoP/7u7Q6FvAZxQjGnUiyYrC4UubBW5/pGj722jeOFnD1ep1TQcdwQWZZ5bq1Gd+jRG/n8y+/eFR2A5oqYusLNTdEeulI0OL1Sue987w09fvDOLtvNEYau8MLpBmcfob2Xrqv87BfX2G6NuHyzxStvbT/W8U8TK3NFZms5JERQ0hFgvztizNFEiQii/vkvn2ShVuDWdo8zKxXOrtX54ZUdfvDODmGU0Oq52HZItWxyYrGM7QY0qhYnlits7w/Z77gEQcRsxeL5kzOsLpZ59Z1dugOXcskkp6vstke0Og5I8P13dlicLaCqMn/qC8dJEG3nu0OXWsXk7LEaUZxQKxj0HZ9LN9qi/bgEz5+sM1fLicQpVeEbnzvGn/7qGn07QJFC7ux6dHou2x0bP4iIoghVVSERAVo7rSF/9PoGjhvy1s0W+10bWZF4+0ZbJJ5IEl+4OE8Yx7zx7h5BCKYucXy2SBRLDL0ARZFoVISeUyjoLM3k8YKYGxs9dlsuOx0b2wkwNJlr6x2+eHGJO7t9ugMPTVE4c7zCc2szdAYetzb7gEjOKBd0fu+7d7h8u4MskXUF+t//9S/z1vV9Nvb6/NHr27xzu0O9YvJX/vRFCgWdJBGdvL752ojdlkN35FEuGuiqTMHSQZJo91zecveRZZkTy6J9bbVkkbM0TF3ll3/sFCPb5/Wru9zZGRJEMe2ey/JsgZwpZPl4/4/jhCt32gztgKETIEuQM7V75M/k/p7PiaCbx0WSJFy926E39JEkodOMg5weBj+IeOdWGy+IUFWZ86uCtP84Ighj3rndwvUiFEVK994n69h08VSDtfkif/TGJtfutPnu5T28IMJ/xIqSh6GpEjKgaDJGIpOzVFQpQVYUpEShO7QZ2Sr7nQF3N0wGto+qSGzuDbi7M+Bbb2zx3Ik6v/CVEwDIssw3Xl6hP/LRNIV2z2Vrf8iV2x1qZZNTyxVKeZ0TSxX8MGJ5tkiSJJQLBi+daRCG8X31wyhOuHK7zcgJkGWJs8erFHM6Z49V8fzoHh3V9ULeud0mCGN0TebCWv2R9xtFEfPSD6JMxz58/XJep9UX9zZ2Qp9aqdzXWf2sY2t/yMbeEIC5eo7j86WnPKIjTGJg+7x7p0McJ+QtjedO1vlUWjggihN+9RsRzZ6Hrsl889UNtps2m037kc4tIRK6oggcP0ZzQ77w3AKfOjtLu+/R6tkMBh5+mDBXy/HNH27w459ZZqby3sG/vaHHtfUuYRhx+XYbRZboDITtX8obbOwNWagXuLBW4+0bLYIg5q2bLS6s1tJCERLnVqs0uw43t3rc2R6w33Gm9sNs/JLEy+fnhF4siSDiKE7wgwhDU7Lg4lPLFdxGiKLIWUDIRw1juXc/eTeJetmilDeIohjTULm+0aXdc0GC1YWSsKUego29AVv7I0DYnR+Wg/TmZo9mV+igq/Olg2Crjyl+eHWPyzdbggtarPD5iQD3+0FTZZ4/MYMXROiagiJLLDYKWcXm7sBDkiQS4IsvLjFTySMrosjBzc0+Q9sXjm5dpj/wQJYwdUV0mwT8IKRkmZQKPrqqkDcVDF1BDsEyNS6ezHF7b0ROV6kVTNZ3esSx6OL76XOzbOy7FHIap5ar3N0dEoQRlbzGd97aoTvw0HWFF0/P4nohYZJwarHM69ea+EFEHCf8pV98nrylEkYxs9U8//WvvYUkQyJJXDw1Q85QkWSJ88drrO8OkCXRxVdXRSEKRRZJK29c2yeOE0xd5szxGsgSOU1l5Aa8cVX8rTPw+PHPHENRZVRVpjf0CIIY1w9Zni1yfaNDp++jawo//vIyZ45XCMKEnKnx9q2meM6JxH//u+/w6pV9AFbnC5iGSn/o4/shd7Z7bDVtJMDUFdaWygxHPpWiwYmlMnGSIEsSb99s8uo7e/hBxHZrxIm5g4IGkwUlD+vap5YrWRL6pM4vyxKnVyqU0wSJ++kwjwJdU7h4anq+PQqGTsC7d9pEUYJlqnztpSUGto+uqeRMNeOZ3i/3pyhCh3vc+/mgcGqlgut9NPYHL50zX35xiRfONqgVTTZ3Bmy1h+x3HDZ3hoycmGES4YYJX//0Mp2By8gJGYxUvN0eYeoT9cKEF07WeeF0g3/4u1fYao7w/ZDZioFlGciyzN2dHlEYkzcVvvjCAkMnZnO3x17Hw3EjSgWDpUae8ysV1vdH2H6EKiuQiO7Zr1/ZY7s1wtBlzq/N8KWLi7T6LqeOjfjOm5vstG12Ow66JiNJElEc4/gxcRQxcHw8P2axUeBzz+dZW6jS7I7YadkU08DqX/zSGkGUMLB99nouthvwm9+6iWmIZFZdUyjlNM4er7G2WMY0ZAo5k+HIY7tl887tFq2el1WYd7yIVs/B1BU0RUaWJGarFicWS5xcKWNoGt96Y5NX39ml3XMo5HXOHq+yNFNkpVGgO/JYmslPVd1v9Rwu326z2xylQcsFXj4/z/Jsgdfe3ePOzoBm1yaMRCGP772zQ6vnUC0ZnFut0bd9gn7MdssmZ2rUy9Z958YRjvBxw/10oCfBL//YKfbaNoYuUS48+jo6vVIVekyccH29Q7vv8oN3dgnDENuNKRU0tvdHnFgq8xOfPYahS/zGH97izu4ACYnPnq8yWy1wd2/Arc0eQ9cnjGNkWaKUM6iXDXbaNkEQ0xsG5E2ZoSuUgbH/0A0l5mo6v/zVk/RGIXe22+y1Xa5u9EmSNJHPUtlq20RxQhDHBJqMG6TdMZKEr396CSRJFMMydNZ3Bqiq4DTu7gy4uzvg+1d2efn8HHdTubTfddJCWQYvrzU4sVyhXrK4vtnln/3BNdb3BozckGrBwHYDDFUhb6nUKyauH/HGtX2hGxgqxbyWJRLKssRza3VOL1f40guLuF5IMScK1IFImEzSIHhTV3njelPoEZrChRO1KR/pg7C6UGK+nrvHr/osIwgjLt9qC3tQkTm3Wn1ifvGDQjGn8+Lp9+bztpsj1neF33KuJpIk5+p5bm322Et9Egv1HPMzwtb5k7e2aHVd6iWTl87O4PgJ202b/a7L+dUaL5xusLE34JU3t3jj6j6OH/HSmRmqRYtzqzVeOjPLfC3PTNXkrWtNtlojrq53iZOEoRMSBBGSBNWSwfm1GpWCgSpL2K7P5Vstggh6A4dq3mDo+IDEylye+VqevfaIkRfS6TnUSyayJLI/tpojZFlClmG5nqdaMkmShN22g+OFyBI0qiK5q1owKOZUrtztMrB9Bo7PTsdBkcAyFWzbpz3wmK8YlPMmb99ps9/3CIKQhZk8cZxQL5mUciI46fhckd2Ow5s3mvSGAX4QcnqpxEKjQKOaY7/jIsvw4ukGL51uZNxoHCds7g/pDT1mKgZfe3GFT51pEAE5Q0XXVebqeXpDj5ubPa7e7WLoChfW6h+4Xuz6Ib/zJ7cZ2gGqKvMTL6+kPuMjPC5UVeanPneM/sjHNFTMtHhqGMW8c7uN44bkdJXPPzfLO7e7tLsj+sOAge3j+jFBlKAqIkGonNfp2QF28N6JY3v9GFMXRRurBZWRE+FFCcORz2S9gbwhUyqYlAsiCVEJhGx//mSd59bqLM8VeOX1beJEJHtcWKtRvmjQHbiZbTlGlCRUiib1isnnLszT6nl859IWSSL8zn/6q2tcudPl1mafH767x/JscSrJemm2QLVo8M5tYcfabkCjYlLMa8yUDH7i5WPIiiikKsvvb65/99I279xqs99zWG4UuLBWz/axSR530r/X6btc3+iSJCJJ/+yx6gNt6MWZAjNlaypOBODWVo/9jqiOn5CIbl2PwQk+bWiqwsWTM4IDSO9rXEROkaWPZTzB7e0+e23B1a/MFaeKYH7QiOOEm5td4CiJ4wiPD0mS+NkvrnLxZJ2/8w9+wK2tPn/r732bv/orL/IzXzj+tId3hGcMcRzzr753l/2OgyTBl15YZG3xkxt4/zSRN2RG3oHitre3x+zs7FMc0eNjppLjl3/sBLYXUrAOOIZPIj65d/4MQ1NlTEPFsoQBkkQwckNGdkB34DEYBbT7LgDtvsvQEdng63tDXC9GVxW8MOHdO10ATi2V2dgbYuoKg1HA0A3oDnyIJaIoSbtMgCwr2E5AFEu4XogfJvSHPm4QMRiKawdRgu0IZVySJVRVZuR6eIEknKxBwnZTOG5sL6Ldc5FkDUWSCGOJH7yzS7Pn0hq47LYdEdQWxOx2bPY7NiMnTDtoJNzaGTB0Y/wwwvUjdloO7YHL0A2JE2j2XLwwwnYjbm/3sd2QMALPE587A49W36XVc+gMXN660SSKRUtT2w1580aLMIrZ6wjFO44TtvZHFPMGpbzBfseh1fOIIkGWDO0Axwvxg5hbm31URcbU1fsSjaJSuIqavssPy5GpqjLVkplW61DfdwIHiACwsTerN/SJk+QogeMJoGvKlGE+Dq4D2O84hFGMZahs7I/Y3Bd/SxL44ze2kGUZXVMIo4Q4Ee9AVcRc6vQ9HC/krRtNwkgENgxGAb2RqJgeRDE/uLKHKAYp4wUxCRL9oQ+SjOtGvHWziZ/I6LqCrKjsdm0290fYXsBu1yGME3q2z8begP4opNVzMXQT09TY7YQM0ooDYRRhe+O25DGdgUcUJ/SGAZIkrt0d+iTIDJyAIFYY+QG9kY/txbT7LoqqEZHQ7DiM3BjbjdEVnd7IR5YVBqOIdt9DliWGTkCv7zN0Q3qOSGTrDQPevtVmZItqGSMnpNl1uLMzQJJEV4/rWz00VaE78PD8iJETsLk/ZH13mCVxdQceI+f+XTK2W6OMVPH8iPWdPrb7aB01VFXGdgO6Q+99Hf80YWjKx5Jweb/4b37j8tTn3/nuXboDl5yl8dyJGTRNxXFDfvc764CMqigEUcL/8K+vsp06Cgo5HceLcNyQd+90RHVKQ6U98OkMPHbbNo1qjkY1T7fvoaoy19b7qWiW2GyO2GuPCMOYoSuSMaU0qSCJJfojn3bPRVEVwjBht22TINo0390ZUMgZdIc+fhgjSzLICmdX60iKyepimY2WSELoDT1cXwQyJcj8zp/c4df/6BZeECNJ4PsRV9c73FjvMXID4jhm6Abc3h5wa3OAFyTomsLIjRn5Me2RS3/koyoy3VFI3w4wNQ3XT9BVhd7QR1VlNvcGDByfME7Y3Ldpdm1ub/Zw3BBVkbi9NUBVEAGFKXY7Nq4fcWOrj6EraKrCq+/sZn+/eKrBpZsdorSlc6vrcul2EzUN9NlpO/RHwgGx17bpD31kSWK7JQJl9rsOnYFHd+jRGXiUCwaSRCYTdFVU4drct1EVGdsJubUl2t3abki7f9CXsTfysm48za5Nqyd0ufvJn/H+/n4SOEAEbI0TZZOEbJ95FDS7Tlb9JwxjdtuPFkz8LKLVc3A9ca9RJHTYDwKmqdMeCCdfGCWEUfK+O3L4UYIfge2IxETHi/FDmSCEztBFVtQ0aMzl3XWRVBUnCa++s5fpcW/fbKWOTQFZlqmkFeeaXSf7XTsNsNraH6FrCgVLn5qfY13kfvphd+BmvxM6tZhzkiTdV0fd7dhZdWo/ONDHHxVyKj/HOvbh6799q4XjhdhuKIJBwzgLev44IUmSqfW927Lvqfp9hKeL7eYoq9w2cgJcL8zs/bylkc+ZHF8okyBxbb3HyH30ql6SBFEs/p8kEiMnpN0Ta2FoBxiaRphIdIbjhOqIK7c7Dzzn1r4Y737XZb/jZPtJq+ehKjL7bYft1ojOwCNBrPHDe4UkicQPKZV8h/fDwyjm9ax7x9iOPhw8bxrqUw/QfRjeS94dxvj9O554XwAksLn38L06jhO2Jvaq7eboQ6m26Xrhgb6VTNuyH0fYbsDNDZHcTwJ3dnoiEfohkNP5Og5eHHMA+x2HKBb6sB9EvHtHJBJXiya/+907xGnBlN7I59ZGH93Q0DWVN2+0QVLQdRXbj3n1yi55S0fTFP74h4InMHSN/Z7HnT2bWjGHaei8dnUfVdXQdY1m3+Xa+oBayURXFf7g1Q3RIcwSv2t2bRRFIopivvXGFqWCRa2Y47WrTYIoRlUUQOL/9wfX+dTZeT57YZFvvrZBECaYuobjhvzha5tUShblgsm33tgiTsQavbvb5+ZWP+PJvv3GZib/tpo2d7b7VAsmhqHyzdc2smfY6ru8cmkrWz9b+yMsU6Nasri63qXZ8zL95u2bbXKmTrlg0Oo5+H6MrikkScJ3397J3s2lm206Aw9dV3ECca+qIpIMXnt3nygUBS7CKKHZdTB1FV1T+J0/uUMUJyiKzNAO+NevbaYBqjKb+4Ps/AN7WtfemNiLe8MDnT+O79UvD+swj4rD8+1RsNMcZXaQ44a0+i6V4nT3jPfS7R5nXB8m7/kwfFT2h722jR/EaKpCrWBRKRiUiyaKpDByIjojwVnFieCFLt1sCts8ivHCmAlVnSBK+PYbW3w3TbqK4oQwhvYwom+H7DRHJEi4QUSMzO3tIXttG9dPcP0QL4gJo5jN/RE7XY8oEe8/AVo9lx++u0d36OEFMf1RSGfgcm2ji64J3qwzDPCjJO3iE7PZHOIHMUM7oDMM2Gs7jJwQ24sIQ1jf7WNoKiAxsAMUWQZZRjeEPAuCiGbXYWgH3N0ZMHJC4jhBUQQXoGsK5YLoulkumvRtn5ETYuoKrZ7Dxv6QoSOew2ZzhB/G9AYe/VGAZWj0RyGb+0M294Z0Bh5uEOO4Idfudmn2HIZuiCzJuH7EfsfJKqiu7w5odR0URehIt3cGRHFCd+gLnnXgMXQCHF+snXbPodVzM35lZAdi7n0C9skjHOEw3s+e9CDM1nKPlcAxhvCViHW5viv8g307ZOQGtLouri/8Ct2hh+3GdG0fWZaRZInttsvtnQGqIjNyQwZ2AInghqI44fb2gDBMSCSJ9sDF9mLR9RDhQlNliSSGkRPzw2stqiUTL5TYbDmiG5MMSDK3dkYkibAV/CCmNxQySJWlVAYHqIpKPmdxd3coON0I7u6O6Ns+jhsSRQnf/MFdZEliv+viuBG2F9EZCFnu+hG6rvD61X16I5+RGxFFMX3bZ313KLipOEGRZL7z9namG4ycgHfvdEUSuipnnIlpqFiGSrVkZsEVIyeg0/coWDqGpvD2zRZhyj14QZTxpI/87t7Dr/qsYr/r4Pkplxp99LjUB+l8G3sHOu5u2yYIRVJ3f5QqJwns91w0Vebudi/j8ZEk3rnVIUn1/TCM2WmNUGSJmxs9oihh4ASMnICdligc2R2I8+z3HExNZX13gOeJ2INu32Uw8nADESPQ7DjEsdBdNE2lPwqJEf4WRdVoj3wkRfhLQWF9b0iMQm/gEcaw33fxo5iNvSFhLPT3OJHwgpiBHXJ3d0AUxThemHE1wocKd/dGDJ2QOBZcy+2tAUEs4fsJkqyy33NIJJVrm32SREp5OJn1vRFRLNHqe0QxxLGIi3jlzW0kZGzHxw9iogS6IyGnSnmdgqVzY7M31Zntyt02rZ4IkNdUjWubPYpFk0rRRE8D/xVZojf0MpvL86Mpv8kHhWvr3cy+CcOYy7eOqno/Cca8/DiBA0Ssj5PygdvNEUM7EvE6iczAFnFAYSz8C2GYEEYxfSfAcSMeRAklQBhLRDH4EUiyjOOFUwUKANwgFjpxEPP6tX029kRRJBKJjb0RG7sjZEXsFUIXFgXWJm1LgPW9Ad2Bj2Wo6KrK+u6I16/uARKSJLGxN+T6Rpc4Tmj1HKIood1zuHq3Q5QOanN/yNb+gR179W4XL4gpWjpekLDf9agUzfedwOH7oZjTWWzVAMcLsn1sksed5DM39w/iCfpD/0BGPgCH40Qm90vPD7mxLvyIj8oJflSQcQCylPG4lqF+LOMJ/CDKEjjg8fys7web+0McL8LQlY9Et9EjPJtYni3yd/7Dr/LlFxYJo4T/y//wOv/wd648UufpIxxhjK39g/i4JIFLN5pPeUSPj//Zf/7r93z3f///3vvdRx2TCRwA/9k/eOspjeTJoOsqlaL5iU7ggKMkjmceamqEjAlRQY6QBTWoipQFCYxbokoTDmTxvZL9TZYkJKSD6iopJ6DI0+eQFSVrxyhLEpIEWva39DppUIaiytnv5HRsiiLGOR6blP7fSCs5a/L49+LcknxwbTWt3m9o47ar4kpy2s583NZckg6ez7ht6ORzkiTxWZbEMdlY0mdrpW2fs+8nnuv4upo6Pt/B8wPQtI/f0ppyuEo8NQfsxxWqcjC3xnMTDubhGPoh8vqwM2S8TsYktySDLMnCASGJtawqcram0yIOZB9lCVVRUKSDNaymVWgURUaTx22BJeS0Nfd4DLIkoWoyCjKSdHh+jGWLGIOcthZWZLERKemazdb9xHdSem5NER06JGVCNqnpukt/KMkgpyOXJQlFkUQQdXqAJEkoyvRz0xRxT2OSeixHxuv74Nnef86rsjx1vnHwx6NCSasEZp9l+YFVXY/w0YSlT69NbWJfGUMk901/lzfvdWoqinTPPqKpB/NsvF7H+xfpEpAlsqB+5T2uP/5O19R02aTrRTk4f7ZXKtOVolVFztbreL0BmIaCdah62FjWTEama1q6hscLGzH/hUyQsjU4ll+ibbgydU45HbEkgaaKYCA5W9+gKcrU+hEkoVjjYxxOfDgsV3OmPvXcJ88lp1WDkcg6jCipjJyUI4oyLRPG9yvL0/JePfy7FEJuT9zHB7znHp5z6mOQ2ofH8kE55T+KuN8a+iAgp3unrj95B5PxfpfNMUnM0WyukurI6T4qPsuZ7gpivurK/Ul09T763+T8Fsc//Lkoh+bYw475oJ/9/c43nrpj/UNVPn5zWZKkqWd/2J45wtPH4fdxeK2Moabr9rEDaaXpf6qqimWqE/uw0OfHeJhD7cDWONA3xno7iPtRFfm+us3U/dyzJo/m5WGM9a0xHkUOjuXZGGOu5AMfmzI9tsPv9+MGRZEznguE3vwk+9Lk85KY3n+Ennqgk0/pg1PrWZrayyfJbUmSRUL2fa83vc71CRtGVWWkCRk0df5Dc8mYsFXMiY5skiShTdg7k3q2qNh/cI5JPV9wdBM2+iF9vZA7sDWm9GxVmprzkzb8YXmqTug6iiRl+u+4O+nB7yQm6YzJd2BO8jMSGBPPT5mym95b175H7j/F9fMw2XyEDw6Hn62uKcipLSv0dsQCTV+JriopZ026zx4cKyHmomkoB/M/5dcUSUJRD3R+EPNU1GgQ1xmbDookYajTtrgsS1PdriRJzOexrNBSjl8aD0Q6kA9yavaOOTbB+UnoqpLZ0OKcYz5RFtyGJLhISZLEuaQJv0RaIGoS4vzp+DI/gJw+57EfQcrsc0VO+cSUzxDXkzOORZm41pg3FfeqTMkXNX0favreFFkW9w3ZebKkvUMcw9HaOsIRnh7G609N/ZmKLAuZmMreMX+qazLKIf1J01L+Q5KEryP1WYx5GCGLDmSoxIGMHX8hyxLGuAsZB3Ji/JtJmTrmO7PDJeFbzWywCR+GqshTvx/zS2omy6SUwzngh01NEXtBdn5Z+G7H/hRJmgomlSTQJ3SrsZy8Hw7bf4d1uU+6L/Ew7/os7QuT725sb95rq455gun9TyRxTv4u3WPHvv3MFyBP/X18vrEfX5IP9vbxXj4e1/hYPbVJxufMdP3xGknn9kHsxDjmIfX/H/KLaGrqO5EOuDQ5tYPH6yTzA8gHMQRT11Clqd+NYyhU+dDYD51v7J+dtNXG/ocxcoe6YhvvEZPwMG7mg4ChPdiHfYQnx5T/ObWBZVl0585k+sTvJaRH8veku5jgC9MkRnkcNHDofKT7j6Ed6MiZD/7Q/NPV+/s8DnOOmipPfSdJYBmasAfGazL1RWQxR4d89+J5TFxDfzL5KsvieuPry7Kcfjctp7LrT8ir6e8ffxzjmKjsuu/hOzzCRweHdaMP21d6Y6MLwInF8idetzrCk8E0VP7jv/Ay/9ZPnwXg//Ov3uW/+edvHyVyHOGRYRyOi3oG9b/zJ+/97q/92V/60Q/kA0ajYj7tIRzhCfDkkUNHeKqYqVgMbJ/eyGd5rkAYxpiqiHD2g4hzq1V0TaHTd5ktW0RhRBhBpaRTKRhs7g+5udljbanE1t6Ik8slHC8i9GNu7faJohhTl1lqFBk5HpapMrICZEkmSWIKloFhKKiyhqIquH6EREwQyRAnmIbKmbUagRfRtwMkoFo00XUZQ1MI4xhdVzBUlXJR52ufWmI3ba165liZu9sDEmBxJkc5b5I3Y2RZtCLM6SqLdYuBE5EzVZYbBTRNwdJVDF2hVjaplkx8P8LUFXRVIYhj5qoWKwtFkliQTXGSkCRQzGn8i1du4wUxi/U8n39+EVNTRCWyrqiUWCkYXLndBuALFxcoF3T8IGZ1sYyERBxDKa8zX8ux3x6x33PRVZkTS+UHZv0Hoaj6Mx6PLEnUSuYHFmTlB6LyjqEpVIrG1N86A1GNqFo0Hhi0c2KxzM3NHmEUs9Qo3EPMHOHJcHK5wq2tHp4fUczrDEY+1ZLJfL3A5y7M8723dzANhZ/70ipuEBOEMYsz+XvaLtdKJs2Cw4unZ/je5V2SRGK2apG3NPojD1mS+PTZBut7I7wgQpISgjChbBjISFSLOl99aYk7O0NUVWYw8pirWZw+VqWY03nuZJ1r6x0kSaKY0xk5Ab2hi+1GHFsocmalyvcv73D5VpskTrDMiKEdIcsSJxbL6KqMYSjEkYSRl7EMhb2ugxGKKqSGJhwGYRRRyusMHB9VkZivWxyfL7E0W+DyrRaVgkkQxczP5PC8iFbPZbZsUinoovqMrmDpGouNvLiP7b5od1wymK3mWJ0v0ey5yLLEFy4ucGuzRymvoyoStaLJ6mIJTZW5sdkjCGNmyib9kY/nR/esoWPzRXojj9vbfYo5nZPLFboDD1NXKBemf3s/HJsr0h953N7qk7c0njtRn6qycoRnA3/7r32ef+9/9wf4YYIiw9/6y59lrp6n2XPY6zjM13LM1XL81V99gb/9979PfxQwV8vx819eRdM0/CDG8UNKebGvnFmp4gcxthdyernCfD1PKa/z+tV9FFlmdaGEF0R89aVFXr/WJAojXjg9w0w1T85Kq41KwuHY7rnUyyatvouEqOIysD0urFa5vd3HNBS+eHGRQk5nYSbHlTttynmdb3x2BdePKOc1NpojXj47xzd/uCH25ZqJEySUchr/zk+fJ2eoXL/bYadpUy0ZvHimAXGCuiExckOO1XL82ItLhFHCN19bZ2AHnF4uUyma1MoGxBJhHHN8vkilZBAnCeW05fHaYonN5ojPnG/Q7vuQJJxcKTOwPU4vl/HCBImEF880ME2Nk8tl7mz3kZCwvYBv/nCLM8eq3Nnuo2kKP/N50RY0CGM6fZef+vwK//Rf32Do+Dx/os6nzx60GFxbLHP1TpvXrzdpVC1RqW7o8sLJGYo5g9MrGgMnIEng+HyJoRswW7WYqx20zC3kdD57bp43b+yz2MgzVxVyqZ7qKWMUczqLjTx7HYcTSyUSBHG7MJPHMp5MJrh+yM3NHromc2q5Ss7UWJkrst0aoasyq4ulRz5Xo2IxtH16Q59CTmPxQ2wP/LRRL5sMbNEJJ2eqLD1hdRvXC+kOPcIo5vSxCu2ew3pOQ3ISvCAWFdze41hdhTCEyXoKCqBrQp8tFXRkJOZqFhKielatFNMbuNQrFs+fmGFlrsj1jR7lgs6f+8mzvHJpmyRO+NqnlvDCiPbApVwwUBWJdt/LdNhM/5sV+t/qQinbHxcfcX5Wigbz9RzNnoupKxybKz7w9/P1vOgW4ASU8nrWLtx2A/ojn0JOp2Bp9xznhzE3NjoossyJxXLmQCkXDBZm8ux3HUxd4cTSApv7Q8JIVNMu5nWOz7/3OgijWHQyUiTq5cevAPo0cXK5zO3tPkmScGy+9LFOvHoWcWyuSJDqADNl8x490wsitptDbCdgoZ5jc3fAyPZIi3g+EHlLo2CpaZVuqJR1zq9Ween0HHG8y/cv76CrMsfmCwydgEpBR5ElOn13an+aGu98kSCMUVWZl8406I18SjldBHFLEieXyiw1Ciiy6JLXT/eKhfr0XrEyV8DzIxw/vGc/fD94VJsWSDuKRZQLOo4b4ocxtZLxkSOadU1htprj5maXYk7nxNLD21FLksTplQo31rv0bZ/jC6UPJXFLUxXWFsqs7/YZuQGNqkUYxR9bp7KhKbx8bo5Xr+wSxwkXT85k3WHeD+ZqYo8bjAJKJZ3TKxXW90SnyH//F57jv/2Nt2l2XU4tlTFzMt96bQdZhn/j62v8q1c3Gdohx+eL/PQXjvPKG9tYpsp/8EsX+Ce/d4OB4/Op0zPUyiavXtmjYGn8xZ89xz/6V1fxgpjnT9R44fQs797pUiro/MrXT/L9d/bwgoif+dwKV9Z73NzsUS+b/LsvnOef//FNwijhz//0KX7zW3do9T1KOY2/8asXeTft3POzX1jjyu02m/tDVhdK/OyX1/iD762jKBK//LVVXrvaZKdtc3qlQq1k8O03dtBUiT/7k2eQJYme7XF8vkjB1Pjj1zcpWBp/6Ref45/+wXVGbsiFtSpfvLiUPb/VhRJvXN3H8SNeOj3L7e0e19a7VAomn70wl/1upmIydIQelzdV/txPneafffMGcZzwZ378JH07YH13yEI9x5dfWOTSDVEx9ksvLBBGCUM7oFTQKZoqr7y1ia4q/PmfOMPf+7W36A59js0X+OWvrnFja4iuyTy3WJ+SL8tzBXZadqZrT8qpSZ3k2AP0jw8by7NCFtteSL1kUntCWXyE98ZcLcfIEXpsMa+xMldCVxWaHZue7eG6IZutIXEUkzNlvnBxjlbP4/b2EE2VWZrJs92yiZOEesnkKy8uYRkqSw1hn0RxzFKjiK7JjGyfzf0RlqFSyGs8f6KO7YZcudXCyenIskS5YHJsLk+tZFAq6GiqTBwnSIng4D1fdNjNGyqKJKHJEp2Bi2VonF+rcXOzz2Dkk7c0zhyr4AUxfhCiaQoz5RwjR/xtfibPheM17u4NWJopEEZx1nlYlSV226Iraa1okLd0cqZKb+ThehF5S+PcahVDU9ht2yLAWpYp5XWWGsKuWJkrUC2adPouvZHHTNkkTkTwYLloUMhprC2WieOEa+sd8paGqko0qjk+fW6WWknICdsJqJVMjs0Xs4DKtcUSW80hW3tDFht5zq/VURSZY/NF+iOfIIrJW6q4niYLe6ORp1YyWZotYHsBW80hqqKw8hDb5whHOMKT4dZWD9sNWV0o4PoxUZRQL5soipzJ3/OrNXpDj+7Ao1Y2aJStrJLxsbkitZLJhRNVXnt3H11V+NJz85RLJm9c3WWmpJNEEV4gYRgK9bLJ2mKFt67vM7R9lht5hnZAe+ChKFCyNGw3QldlVmYLfObcDPsdl1rZ4Nxqjbeu7xNFCTlL4+yxEm9ebxMECfWKQaVkcHOzB0icOV7h7EoVXVdIEpitmdzY6JEkEsuzeTb2hmw1R+i6wq/82Bl+cGWP2WqOnO6jmyqNiollaMzXc9huwMXTNXY7I6IgxvZD5mp5VheKGJpCp++hqRLf+OwxWj0X2w2pFg1ypsoffH8dgG987hiuH9EbeuQtjWJOF51OUnvq+EKJrX3hUzq/WmW7ZTO0A8oFnUZlmkdx/ZDe0L+v/ySKYlop/1IrmU/UEexhCELRDV5T5Q9VD2pULYaO6CjxrHGpp1K/ZZIkrMwViRK4sdkliRO0NBG7mNNp912OL5S4sdnl8s021ZLB1z+zzH7XoTfyKVjivt+6vs92a0hv6BInMTlDJYpjho7Pxt6Q717aYugEzFVzfP7CPO/e7ZC3dEhg6AYMRwGyLLG2WGK+XmBptoAkCf9qHMfstkYoMlimSujHlIsmlqVy8USdSzdbKLLo+DtXs9jrOlTyGputIbIkOPyZqpirxZxKZ+CiqjKGpmLpivA5GhqfOTvHD9/d5/pmBy2RObMi/IEJgrecr+XJWRrf+MwKv/XKTQYjD11T+cLFeYZOyEzaxWZ5rkijYvHnfuoM//3vXKFeMtE04TM4v1pjpmJxY7NHEsNczeL6Ro9Ty2WiOKGYNzi1UmZ9d4ipKXz67By9oegSnnGnlsZio5B2EwmpFI2ptTi2T56UDzm1XGavY7PVHFHO67x4ZvbhBx3hoZiUr/WyRbPrsrE34NhcEV2WafdtVBk0zSIMI/Y6Dn4QYhkaeUujlNPRdZdW1yFtqi6SPiYSGJFEIYliXnSz7Aw9VFUiiiT8tHO4qUvMz+YhAktXWZkvYOkKb10XsTIvnm8wUzS5sz1g5PjMVCxqZR0/iOgORNfMsXxdahQ4t1rl5lafvKHy0pkG1ZLBb3/7FnGc8PVPL4u4JydgqZFn6AQs1PNUS8LWlpBYXSyRtzQcP8J2Q77w/Dy3twYM3YCVRoG1xYdzZ4dhuwHdoUcQRFimxucuzPPqu3sossSxuUKa/ClieQxNIU5EZ9VJPnN1vsTr1/bpDT0aFcGRPS601Bdzd2eAaSi8fG6W9d0hmibz3Ik6AN2BhxeIOIWjOJ2nD1UR72x9V3B672f+PQ6urncB4e85whGeFJIk8W//zDmKOZ3/+tfe4tf/6AZxkvA//qXnP1T9+wgfDzSqOU6tlPnB5T0KOY0vPD//tIf02Phrf/aX+O3v/vrTHsYT49Ona7x2rZ19/lt/+ctPcTRHeFJIyVE63SPjrbdE25mLFy8+5ZHciyCMuXSjiR9E3N0dUMzp1Eom9bJJztRY3x0wdAL2OjbztRxbzRGzFYs/en0TVZExdIUXTs1w4USd3ZbNO3daXLnVIW+p2G7E115aojN0WaiLoPHVhRKXbjbZ2h9xfaNLd+ABCdtNm4KlMnRDVhdKjNyA1YUSsiSx2CjguiF92ycMI7pDj+XZIkMn5OXzs1iGypljIqDU8yN+/wd3cL0YxwtIgKVGkWbXplE2uLbRZ7Zq4Xghnzk3RwyU8zrVokmjan0gSrLrh7x9s0UQxNzZ6VMrmdzc6hKGCeWCQaNq8TNfWD30HiLeutHC80JevbKLqsgUcjqrCyW+8tLSfa8TRuN3F3N3t0/e1KiXLaolg9Mr1Se+j/GYxu2Lj80XmU+DaLaaQzZ2RWs/TZV5/uTMPVVyjjCNV199FV3XPxQ5MDkXAJZmC8zX81y60czaLc/Xcw908rteyKWbrayd58nlchZs+L23d/iDVwXpLssimaPZcXjt6j5JIoibr7y4yPGFEhfW6qzvDdhqjri700cCjs2VWGjksyBH2w24fKudXev0SgVJgt/5zh12WkO29m0gRpZlTq9UCMOE7tBjr2PjeCHztTy6JuP5Ea2+i++HDJyAKEqI4xglrTxYKxqUCgYvnBLBMq9e2RUBFXkdU1dJkpjdjkspr7G6WOZXvn6SnKmzvjvgt1+5xZ2tPgnQqJqcWqkyX8sjyxLPnahjGSo7rRF3d0RbaFWRef5kfSr460Fr6DC8IOLSjWbWynV1sZQFnh7h44P7yYE3r+3xX/2zt4gTUTHmz/zYST7//CJX7rQh/e7cai0L+IrjhLdvtbI2yI2qxcpckbdvtPBSVnWxkWd59sDZf3enz07Lxg8itlsjlueKKJI0tc4B3r3Tpjf0sd2A9sBlcSbPa1f2MHVVJF6NPJbnStza7LHSKGCaKieXypw/UeP/9I9+iO2G+EHEylyRLz6/wGZzyPJsgd/61k320taIQRjzlZeWMDSFL1ycR5Fl/snvXyVOYGD7vHSmQb1s0R14LDWEM+X8Wl20Ad7oEYYxr767S9HSUVWZUysVPnNujks3mgRhTLPnIAH1soWuif1pHBjY6jn8y+/eydbZl15YvG9g43fe3OKf/dENkkRU3fr3fuEC51YF2RlFMZdutvD8iE7fJYxiGtUcqipz8WQ9c1zstW3+u995hyCMWd8bkNNV6hWLcsHgL/3Cc9zZ7dPpe9heQLvnivclwbnjNUr59x/c90EiDGN+65VbDNIWzquLJb7y4v11kiM8Hh5HJ3C9kLdvtWj1XPbaNq2ew2Dks9Ma0bd9Rk5IEMUkyUH1xgQREKQpMrqqEMUxthegyAqKDNG4H3oikji/+qklFhsi8OjuzoCCpbIwU+DUSoWcqfL2zVa2btYWyzRSx2S773I9JYATknTNCJJuabaQBYc9bQxtn3dut0VrcgnOHqve4+z/7Vdu0e65gJCh33j52BNfN44T3r7ZwvGEvJ6t5VhdeHoBl0f4aOHDtA2CMOL7l3e5vtHl8q0WIydAVWQGtsdwFOL4IfEhNkdOq1SqiiiaME6IihNRqfHLLyxQLZl87+0d2qlDuJjTaNRyjOyApZkChqHwU587xkzl2dBht/aHbOwJm/awznAYex2b21t9QMi+Yk4ErhqawvMn6x+pKma9oce7dzuZHnl+rX7f5LXDiOKEt282cT2hT87Vcw9MUnsS3NrqZW2zLVPlubX6J7LbzwcpBzoDl2vrXUjA9z3+q1+7nHEBuiqjjjvqyjKfPtegnBf7oK7JGY8wrhYbpzEDex2bnZYNgKkr/OTnVzA1MZdURc6CC2RZymx7gP3OiM5A6I9RFLPbsYWeIom9cFzZc+T63NzskySQxJGQHakeUczpmU4syyLpebLr3lgvicKI713ewU3v4YVTM/zsl9bu+4zWdwdsN0finKm+NGa2H2R/X1/v0u676fOTiOKYcWvS++kU4r4j/tvfuJwdd3yhxJ//KVGlLooTLk/oB5PP8jCvMCmnjri3jy8eRxaM9cvu0OOt602u3Gmx13aI4hjL0CgWNBYqefZ7DkEYM1/PszJX4Ge/tMr19S7fubRDFCeUcjo/9fljhFHCXsfmO5e2GaQJz7WSwYnFMu2+x929gUie0NXMBoiiBCmtJl2rWFy63qTdd4njBFNXWJjJs9ex6fQ9xuV4l2bz1MsWa0tlkRicrj1VlTPObLJgEhzwkn4Qcelmi+7AY6s5RJFlml2bvKWRN0VBk+dO1KeCBcb+jiCM6Y88gnAcmC3x3Fod0xDJqt+/vMNu2xZJ6Tmd0ytVKiWD86s1JEnilTe3+N7lHTw/wjJUvvG5FZ5fm3ngOxrzLyAqDD5/4l49YXJ8AMtzBRZnCrxzq02773J3p49lqCw2ChxfKDFXezZ0qyO8f3yYtsER7o/vX97h3TsisdTxQp5bq6OqMjlTnZIpl2+1eO3KHiD24mrJZK8t1ni5aLAyW8RP+dhqycD1I4Yjn+++vc219S5hKjPPrdY4t1qlP/TZ3BvS7rsEQcxOZ0SSgOdHlPIa1ZJFo2oRxzByAoIwopjXcL2YgqURxTFuEBGmxdca1RxxknB6uYIkSdTKJiuzBRw/yuwBy1CxUx5ZkiRubXUz/e/4QilLehuMfNHxSJI4Nl8kZ2q4fnhfLuV+/qhJDuj//VtvZ7KwUTF54fRspi/mLZWRI8bzMDtsEg/yn8RxwuVbrew+ZyrWIyWzvx9McsMACzP5DyTp7uMsB+I45l+8cpvOwANgoZ5npmplz7Cc13njWhM/FJ8/fW6WC2v17PhX3tzk1//oJo4bMnQCjs0XcP2IUk5n4AT4fkhn4FMrmRQLGn/zz32KQuHRkmu8IOLtGy322iP+8IebyBJ0hh7LjQKqKjNfy7HTtpkpW1imikTCa+822dwfYDshlqWiyTKLc3n6gwBZFp1EPndhDkmC3bZNFIuCP/O1HP2RfxBzMZPnzEo10wPG6I/89/QNTeKwzmHqCr2hsMNypsKd7cHBM5/JM1O2Mv/RTMWiM3Cz9TRby7Gf2m0PsnMeh0c5wvvDk8iCjb0BW/vC5jU0hZMrZa7c7hDHCf2hx53dgQjgl+DLLyyytlgWHNKdNnd3B+w2bVp9m9s7Q6IwxtAVlucL/NwXT3ButcqN9R7fu7zDu3faDOwA1w8hjujZYeabMAyVSsGgYGnM1XP0hh5BGFPMiwS+WslkMPJFIaU0oDwIY0p5g+XZAq4fUi2K9Xs/Xmq8F7x9s8V2c0SlaKDKMhdO1FBkmbylcWGt9qEHEo+cgMu3WmzuDRm6AYszBRZn8pxbrZEkCZdvtVNeVcQ31NJ7Ouwf2Nofcnurz51dEU9xfKHE2mL5PWMJHob7+SNMXTmIZTjkxzzCRxMftE7wP/8/fpMbGz3+F/+jl/nqp458vEf44PB737vD//kfvw7Av/XTZ/m3f+bc0x3QxwgfV9vA9UN+61s3cVIf1IVDRVKfFfzi35xO4viNv/vsdeL4d/+T36Y7CgDhK/k7/9MvcfZ44ymP6giH8aj5BkcW2ccEQ9snCGOCKMbzI4a2WKSdgZc5G4eOTxjGtAfCIbOxN8D1I4IwIo4T3rrZ4uqdDlEcs90cEcWJ6MoRxdzZ6RFFCUNHnLfZszMDcpz13eo5JEmC7YUkcUKz6xBF4v9BGNPsOuz3HFFlZRTg+jED2ycIRTZ+ksBOa4TnR3h+SKfv4wchjhcytAO6fRs/iNlu20SxGEsUCweuP3nPfe8Deab9oU8UJXhBRBDGdEce3YGPmxJS+x0H3w+njxmJZ+x4ISM3FCQrsLE/fM/rjJwAPxCVyFwvYjDx7j6IHKuBHWSONIBWGtgG088qCGOGtv/E1zvC+8d4LozR7rs4bpCRoPDw+d0delOBF+P1D3D1bif7t+uFrO8O2dgXDgbHC4jihK3mKAvgbvdc/CAiCGL8IM6+e9C1tpojwjCmN/RJkpjuwCeOYWCH3NzqEccJrhcSRsIB2+y6aSWYAC+I0/UWEQOuGxCknQj8IObmZo/OwGVgB1mg+H7XoZ0SmJ4fMRj6bKUBHXsdm1bXIYwTojhhv+PSTZ9fHCf0ht49zzSMhFyaxHgNjZyA/Y7N7a3eez7/sdy43/M/wscb339nLwukTBJ481qTzsDNghqShDThUcD1wyyBA8Q8FOvgvdf7eD7ZbojnR9keNDnPojjJSP6hE2A7IbYbpmRsRG/kM7ADPF/sr31bXGNjf8jVu93MSRYEEXd2emzsDxmmx+62RVeqMN0b2z0RtLe+M+TK7TZxAkmS4AcxW/sjBrYvCM44Se/fndJJbDfEDcT1NvcGqVNTyMChHWQ6hx+I9TfGxt5wap3d2enf951cutnKAkfiBN5Kq+sC2F6YydahE2Q6RBjG2T4McH2zk43JdgIGjni2vaHHbmeUvaORHWC7QraR3utHBd2hmyVwAGztjZ7iaD656I/E/jC0faJY6MUD28cPE7FOOAh0ShBzlgSCQFSRHLkhrheRJCKwO4oT/HDcvSOhZ/uEUcLdnT62E5AkCYN03bT7bnb9MToTc3RShthOmO2Pk38TesOAndZoau//UaKT2gtAus6mZaTt+lN6ylZzRBzHPCncVF6OcbS3H+FHhf7Ipzv08INI6Ah+hB9EDO0QL4zuSeAAITviWOxnYZiw0xziBcLe94KI2zsDNvYHjNyQIEpwvQjbCWn3XLwgwgsjoijJnPnPAloTa9IP4mxPvx8m129v5GG74rdeEDFyw/c67Kmg3T+sRz6a7HHcIEvgAFG98cPC5PN0XFG1/QhPhk7fy9771fX+1P7Tn5jbQRhyI03ABLh29+Df7YFLc2I/vLl58LehHXB3e5B93tg/+Hcr5euy47YOdOxb231GToDtBjheOHW9a+vdLLE0iOHu7sE5J6/t+dGUbNmc+Pd2x6E7oa/eeIDNPTnvOgNvyk540HxvT6yhnbZNGB4oXod1ijFaPW/qeusTdofrTesHk89S8B0H9zN5jiCctm2O8MmEk86fcZGFwcgnjIRu7wcR/aFPd+QJjjwQ+/7ICbm+0WOnZWdrzvZDbmz2hc4w8ARXEMSQJGy3bLojn/7IY2QHBEGE64c0uw7NrpONozPw6PZdugOhc/jpnrjTdugMPMIowfYCRq7HXtumO3C5uz2Y4jM29w7mf7Pn3Fd3HtiCMx86PiTQ7No4bojnRVkhhyCc1t2Hjp99N7ADcSwiAWW8xgRP6Gf3Y7shtids/PGx67uDzP53vJCdvRHRQ6rjTvIxnh9N3VM2PtufGnOn7xGEEQPbz3jWYWqbfZj78RGO8EnG5oTfrTPw6I3E2h1zp2OsT+gnjhdN6SjtrkMr5TgB9toOjhsycgM6qWwV9lRMq+fQ6Ql56AURjhfRGXqZrSY6CoiOvRu7A+I4ppfadINRkCakRbT7HoEf0ep7xImQJ3YaEA5CZ9vYG03ZA+u7B/e61RwyHAUMbJ/+yBfJ34jz+GFMfyh8tn4Ys7E3mOJSJvWS+/mjsufk+FlguXiGw8zfOf48xmHu9kF4kP/ED6KMmz78tw8ak9zwh32tjwuGbpglEwDc2e1PPcPrm90sgQOm1x3A5ZvtNNkpJE4Stpsj4hiaXZGE0Oq5xElCEEWM7JAb2/fn/O+HsS612RKxDePO2XtdkdBwZ2eQ+kFDoijJugiMbecgiAiimM2doRhDEDNyfXY7Nv1RkAW6x0nCtc2emD+B4GdbqV512JfzIN/Q1O8mjnO9kJ32wbprdp0p2+7Odn/KfzTpJ7HdgNeu7Ga+ocPrfRKHeZQj++Sjhcn35gURO80DPr7Zdw7eV3KwzroDkfDsehGdoctgFOJ6IVGcEEQx+20RG7TTHIlztkb4odgnPD9i6IpCMQmiE7jvh/hhhOtHNDs27b5HHIPrhLT7HiM3IEpEstTAFgXlBrZPkoj4o5ubvUx/vp8ePN4LJu2SVt9llPIeh32lHxbGcQ5DJxAdfxyxr4aRiFcYP+sgiLK1DveurVbfxfGFfAmjBNePnihe6X7+iMlrHvZjHuHjD9sNuLUpuLLza7WnPJojfNzwk587zl/5MyKw+B/9y3f553904ymP6Agfdex3nCyBA+7V+58F/Bd//5V7vvuXr156CiN5MvRGB/pAnMBvffv20xvMEZ4YR0kcHxOYhookgaLIKIqErolXaxkqOVMFRLa+JEHBFBX3amUTRZZQZJl236Xbd3n3bpsbGz1KOR05baMoSVBLK3yPW/PlLT2rGGEaolq+qatZ60XxG0W0IDU1ZFkib6rkTQ1VkQ+OScc9HmO5aCDLEoauYuoKqiKjKQq6JmNZOoosUbRE1QgzvZ9qdoyS3fMHASsdk6bKyJJEztAwdBVVEVn/OUNF16evZRniGRjjsafP4kHVuA1d3IcsSyiKlD1jS1c/kAoDVvqMxxg/68P/liQxj47w9DCeC2PkDBVDV6aqmVrmg99RztTe8/NM5aBqjSLLVEsG5YKYm+NqDdWikc3dnKmiKaIlsixJ2XcH47v3WtXi5PqUxZySwDIUKgWxVtW0zbKlK1imgqaKCuOqKqNIMrIsIQGapiDL6RqURZXx8TMRz0vFMpXsmSiKjKbJWXWPYk4nZ2qiInEqZybHP5YVk98h3StDTF1h5Ppcutnk8q02b99ssdu6fxC0ZarjAoXpMzpaU58UHJubrlQ/W8vdZ40czAddU1AUaepvpqFOr/dD82e8nnVNrKHxup38nTKxHxqagqbIWLqKqop1bWoKhq6gq2KtjeV+Ka+zUM8zvnwQRXi+cGqu7/aF/pBT0/1KrKlSqgdUigazNaEnSJKEIkuU8jqGpqbrV8rGP74H01BRZAktrfBULhiYEzLQ0JRsP5wcJ3BPe/ux3DmMRn26yuXCzMFnc0K26pqCnj4zJPG3Meaq+WxMunowpnHVvvGzH+/7SnpOy3h4pewfFQo50e1kjFLho9Eh5JMGa0IfV2QZy9TSeZjucxObhzTxD1mWxG8UUFTxK1mSUNK/Ta4ZWZYoFfSs6vN4vuYMVexHE/vTpNyYlk1yJkPGx4ZRzLff3OJbb2zyR69vcuX2QVvOHyVyh3SgwzqRrqpTYy/mdGT5yc3d+8nrIxzhRwHLmLCJVUXY+rKU2qf3P0ZK/1NkGUmGvCnsV1kSOkK1oFMpWGiqOJeqSmia0PFVWc725bE+/SxgUt+WDu3jD/qtqalTuobxgOOeBh5k1z0Ih+3HRz3u/WBS1xU81EfrGT6LmNxjluvFTLcEUNVJXUFUaB5j8t/Zvp+iMrGeVVWiXj7QiSe5KstQMxkA0zq3ZSi0+24W/G0ZB++6XrKyDl6KxFR12cmqr4osT32e/Hclr0/Nn9oDZNBhm37yuAfN90ndp2BpU3v7e/EsxYIxJRsmn+Vh/WCK95MO61oH43qYnDrCJwPj+WNoCqamoKe6vOD2JQxV8GWKIqHKMmq6/89VcxQn5pqmyNRKOro25vCEPY4kUbQ0coaKqauomoyiyKiKnHW+AFHB1dAVcqaW2eiKIqOrMkVLHCvLguuPI1HM4O7ugN32cEoXmZz/OVOdquQ8nv8ZZ66p2feqKmcc4dhnMAnBjYt/G/qBPQ4H63ZSDqiKOJ+uCa5xfL5K0cj4fEWRKRf0h3bfmpQL76Un3I9zV2Q56/KFJN61JEkfmL/iCEc4wjTGXckADE3O+LhJ3xxAZULvUBWmOhpbpjq1Ros5oSeYhophCG5TkiU0RfhAc6ZGMa+nMkfCMoStpspCno1lUimvI0kSpqEgy0LejuV9zlSQFeEzBaEbKKpMIael96JQKU7zd+UJPq+U02n2He7uDLi722c4EgXhDF1BUYTfRJYlVEW6pwr/pF5y2B81+RwsS8/GB1As6BhTz/RgPI/jW3yQ/2RSdouxfniyc8yjZeM6ktMPRU5XDzh0DnzzYzQq1tS7PTz3xt3AxnvwWKfJW2rabUbL4hxURXqsDlZjPaOSyoQslsE88F8AmVyYS/0Gk/qBJEGpYAj+RJFQFZlyTscwRIyC4FYkZtKuYFp6TC7tmHl4vj7INzQ19onvFUWe0qvypj5lO9TK5tQzLxd1kEQxh0s3W9zdHXDpZjMrvvVe9tFhHuWjxod80jE5d2RZojJhmxcsfUpOjteZZaooiogzsQxV7E1j+0KWyJviHVdKYg4Vchpq2u1bUYSuO+YUJUCWDzjIvKVjpX4MXRf+RU0R3KSpKZi6iqELnbw38thIu2deutnE88P7zsPxXjBeF1oaO2Sm4xT+zA9/XuYMNd27xTM1NLHexb0rmV9NVeVpG/+w79ZQs/goJO6Jp3hc3M8fYT0G/3mEjx/evdMhTkTswUzFevgBRzjCY+IXvnKCf+dPiQ4c/89/fonvXNp+yiM6wkcZwtad/vys4edfvrd7/U9/5vmnMJInw2F68+LJB3cePsJHG0esxFOA64VsNUdIEiw2ClMOiDE6fZdWz8U0FBZnClNG+f1gGSpztRzXN3osNQrMVnPEsWilHscJcZKgqcIx1Op75C2FQs7gixcX6A1drq13WV0s4XoRf/CDdQo5leMLJebrBboDl722g6IkKD2ZvY7N9fU2tuNza2eElCTUKwaqZNIZiqr7xShClhUKlsLaUokgiBm4AcQJsgJFTeP8apVS3qDVddjvigrB48p+fdvn7LGqaL8ex/SdkDiMGKowdAMKlkIQJRiaLCpmShKrSyXyhsby7EHL2yRJ2G6NsJ2QStF4ZKX2rRtNmh0Hy1RoVC3qFRMJiePzRfY6Noos8eLp6RZEex2b/tCnkteRZImf+twKzZ6Lrip8+tx7tysydZViXuf1q/uCwDVUbDcgn9O4drcDknDQx0mMLAkCZ/YB5FWSVjCx3ZBqyaBetji9UmW/a2NoCksTz+fYfAlFlvCCiNlq7pklKsMw5s0bTXoDj9VF0aLyWUEcx7x5vUmn77EyV+DMsSr7HYfeSFS76ww8zh6vstuyUVWZhXqOOzt9gjBmrpajmNOJ4oQ7233evdNmv+tQLugszuR59coe37+8w6fONji/WmdtsURv5BNFMWePV2lU8ly5vc9e2yaIYuaqovXuP/nXV/nd79ziG59Zpjf0KVgaCQlX7nbQFImdts1nz8/R6jm8eX2f7eaIYt7g6xrIksKx+SK1kiEqcMaJqAA+9FhdKLLddlhqFPCCEMcN0GUFS9eolQz6owBzWWU48tlsDtBUhZmKyfJsiWrRYLZq0Rn6lHM6Ej6VvEa5aOEFIVICQRRjaEpWkeTYfJEXTs8gK2Jdffb8HJWSiR9EVIsmQyfgtXf32G2NsvbC547XSBKy1uPFvM5cLYepqSSJIGQ1TeHmVo+5el5U3+p75EyVhZk8BUvj9HKF/a6o0OP6Ee20tWyz69AdeOQtjYWZ99dC9QgfXfzU51f5/js7XF/vMVfN8ed/6jSaprHbHrHXcagWDLoDj/7IZ6lRQNcUzh6vsdMcoSgSy7NFNFXmzLEqe20bJIlm12Z9b8Dp5QrLc0UWG3neudXC8SPOrVYp5XV0VcYPIm5sdOnbPt2+h2Uq+EGMril8+twsSPDzX15juzlCImZjf0S373PheJWhG+L5AaaW5/p6l1Je49LNNlEcszJbpDv0iKKE3//eXRZnCux3bIIIXj4/SylNvLixIcgj1w/YaTrMz+T46kuilWunb9C3fRbqeWolM+swZbsBv/CVNbabNoYuxmnqqrj/js1MVey7UZTgeAGvvLGFoStEcUwYJeQtlc39EXP1HM+fEFVH9to2/ZGPpspEccILJ2dwvZC9tsOplRJfeXGZJBEdhxw3RJHh+kYPXZOQkbmx2eWFU40pUvnkcoUvPr/A69eafPrsLFutIf2Rz499eomdpk2SJLx+bY8kPngmuqowsH2Gjk+rJ7pgLM0K+f4w9IYe+x0HTZWIERVG52s5Cvdptf6oMHWVH//MCpdvtlBViYWZAtfXu9TLJtXSsxOk+6yjmNOpV0y6fYe99ghDk5kpF5Fk8IKAcBSS08ELEES/An4IYZQQRRGyJKq2yQos1kxUXUNVJPbaDrIs8ZnTs+RMleNzRe7sDBg6PpKkoyoS8/UcsixzKt2fhrao/vjGVYdi3mChnoMERm5AtWjS6jn88Oo+vYHL6qI45s52j6ETIssSVxSJCyfqP/JnWC9bhFFCf+RRzOnMVqf1YVWV+cnPHuP1a/sossRLH0Dr1jCK2dwfomsKiZJQzOvM1vJ899I2thdy5liVpUbh4Sf6iMF2fV57d58oinnuRJ2ZyqM7xj+JcLyQrf0hsixle/iPAjlT41NnZymYGo2qxcZuj/XdEbGUTHVYmsRYVkRRjK4K52q76yJJMjNLFtWSydb+gFJew9AV4igW9uKxCpqiEMYxSzNFji/cS2A+CoJQVNr3g5iEBFWRMTQZz4/JWSoL9fwHUqhgEqsLJdRUH5qt5h4YPLQ8W0SSJFw/ZG2xhO2GBGHMbC13X17mg8b9bPX3wlwtl1YD9CnnjXuSWN8Lmqpw7niVndR+XJ4tkCQJP3x3j6vrXWYqFl/71PKBc/kJcGqlwsbegChKWJjJ3xN8e4T3xh+/vsnm3pCl2QIXT9Z583oTWZK4eHqGyzfbbDWHnD1e4asvLfL7P9hAkeCv/NJ5Lt3qsd91een0DD/26WWu3O5g6grnV2v85iu36A48PnN2liCI+PZbW5TyOn/lly7wD373KkMn5Mc+tciNjQ7/5F/vU8nr/Ae/8hz/9Pdu4PgRP/vF42iazLW7Yp584+Ulfuvbd/CDmOdP1ukOPGH7Whqfu7CQVbr+9//0Bb771g53d4esLZZ47kSNf/HKHXRV5ue+dIzLt7vsdx3OHq8yW7X4k0s7GLrC115Y4gdX92h3Hc6v1bh4os7v/2CDvKHwjZ87O/W81ncHXN/okrc0LqzWaHVFlcuzx6rc2Oryw8t71CsW54/XuL3dJ4xiFup5XD9Mx6yyWM/xh69tEsQxX3tpic7AY6c1olHN3aNTvHV9n2bXZX4mx89/aZV/9f11dEXmF76yxtb+MFvDY3tOcDV59jo2rh8yU7bIWwc2xfGFEooi3VdOjXWNIIzv0fuDMGJzX3QMWJjJf6hJWSCqd++0bTRFZmEmz27bxvMjZipWFvh2hCeH7Ya88uYm79xq0+7b9O2QnKWgyAZDJ6RaMpmv5mgPPYIoEgnghsrXP73C6WNVZms5NFWh2bM5PleiUc0xckMKOZ2zq3VubnSRgNPHKuQMhbYEjbLJfscmDCXqJRNDk3nt6j6aIrMyV2K3PaJW0hm5PrbtM1Mp8NyJOt2hx27TQZbh1naX/a5Lq++x3RrhBzEvnJ7h1EqFKDB482YLWUpYmi2iqzK6JuP6MbYb0Oo5KT9d4fp6lyCIKOQ1On2HzX0bSRJVrH//+3eplgyePzEjeDnbFx0Ig4gzK1V0Tc6q8t7e7iMh7KznT9R589o+llGiUtSxXVFZ/uZWj7WFEl99aRldU9jYG1DKGZQKBkEYTwV4H8aJpTKbe2JtztVz9w0iMw2V+Xqea+td8qYIALu52WOuLpJtinkdTZMp5Yxn0mY4whGeBXz5hQW+d3mXreaQl8/NUi1b6JrC4kw+CxTfa9sUC3rGFz53os5So8gfvrZOZ+BhmSZvXN+n1XHIWSo/8dkVXC9ke39EOa9RL5t0hx7HZkt84+VlNF2lMtQp53UkKeHSzTZJHGMZMnO1PHO1HGEMhqEycgIaNZNbGwNc12dxroDtBFRKBgu1PIWizo3bXSRFZnEmh66JY2olgxdPz/JPv3mNO5s9LFPl7LEqd3YGeGFIrWDS6buEUULO1CjlDXbaIwZ2gKYKW7I/dLmz3aNSNPGDmIWZHMuzpanA+DEXu99x0DSZ5UOy6ld/4jR/9MNNAL7+6RUu3dzn229so6kSP/m5YzSqOYIgplG1HtmeKlgajbLFre0+pbzG4szBNRVF5txqla3miN2WzebekJET8Kkzs1MFat4PJn0z8/Vcys0Lv5umyizNfjLldBjGvH5tj8EoYG2pxOrCtG/VDyI294fEccJio8BnzjX4l9+5i6bK/OTnVkgSuHKnQxzHLMwUmKtZ7LYdLF2hnNfZ2h+yMJPn8q02OVOhUTEo5lSKOZ2zqxXevNrCj2IWGnlmq3m+8+YmQZxw/kSNoRNiuwGyLLG1P2K/Y3Njs4vjBciyQrVo8I3PHGNjf8Cb15vc2OjQt31UWeLs8QqOn1DMaSQxLDTy9G2fgqmx3bIp51W25YRj8wVsJyKfU6kWTSxT4YdX9okTia++NM+5tRo3NroUcrroVu6F/OTnVkShmx/uoMgSpxdLgNCBxv5Cxw8wNRXXCwnjhLlajmrR4Ifv7tHuu1imykzJIghjJBkGtocsy5w/XqWQ0/nh1X2iOObFUw0WGnm+/cYWrh+iKjLdgcd8PU8xp7E0W6A/8vnBOztIkkStZOK4IX3b58Uzs++ZCDPmUcbr19SfzdiAjyvWFktomng/pYLOtTsd7uwO0GSJfE7jzEoZx49QVRnPC/jWGxtZt8zTKxVW54tcutkiiCJ22w6yJJG3NH7z2zcgkYjiiP2O+L5aUIEYx0koF3QSEuI4wdRkUVRRk9FVWJot0Bn6hHHMiYUCQzdmvp7n1HKJvY6D40cszxbYbY7IWSLZsdl1+N3v3GG2ZtHs2nzphaXsHguWxqnlCpahcHOjTyGncfZ4lSCMieKEQk7jT97cIk4SzhyrYLuRKDqb+trvx9HGccLm/hDPj6iVTIaO6E7VqFj3JJWNUS2ZrC6WyOdURnZIvWyy1CiIYnUSnDteZXNvwPXNHpoqM3J8VhfLU7FIcLCmCpZIrJqpWHh+xO997w5BGLO2XGalUZziCR4EVZHv8R+L5EwZ1w9pVHLkTI3OwKXVdTF0haXGw+PJjvDs4vItUVjtwlEXjiN8iPhzP3mGdt/lX7xym7/7D1/lv/gPv8qJpWcn7u4IPzqUCwYr80W+/foWhZzGL37p+NMe0mPj+eefB579rjMvnWnwgyv7ABiaxEtn5p7yiB4fcRzzxrUm3YGImT218vCYqo8rpCTJGqke4SF46623ALh48eL7PkeSJLxxbT9rUWsZKhdPTWdCjZyAt2+1sjabCzN5VuaKh081BdcLeetGM2uL26havHO7TbuXtkMPIxYaBdZ3+pTzOt2hz4XVGnP1PAszOb7z1g5eIIwJ24uwDAVNUfjVb5zijesiU367bbNUz7PTtsmZKrttW1Ss1hTiGE6tlOgMAnKmys3NHqWcRhAnnFku0+77ICUMRgGKBJ86N4euKpxdrfDW9RZD2+fmVp+5eo5mx6FWNlmo51ls5Ilj2GmNuHSjyW7bxtQl+nbIbDVHd+jRqJjUyzkurNX4xa+enHou283RVOums8er72mojfHO7RavvrOXff7CxXlOLT9YSLT7LtfXu9nn1YXSAxMtJtG3fX7rWzcJwpjdtk2tZFItGkRRgmWq9Ec+9bLBftfl+FwRQ1c5uVx+z4CPzf0hm3sHrYzPr9WmKiF+HPH9yzu8e0e0jEaCn/rc8ceq0vI4ePXVV9F1/YnkwCRev7rHpRut7PPXPy0ci7cnWgWfXqlkgbbX17tZy0xZlnjh1Ayb+0O+f3mH16/uE8UJtZKZtuYWAiGOY7784iJLDSFH5us5GtUcl240ubXV49ZWn5yh0uy53NruQZIQxVAt6nz2wgJBGAnHbVskAhUsjeXZAkgS335jiyiKUBSZ2WqO08eqHJ8v4QcRxZzOK29tMxiJVuZSAjPVHLIksd+16Y18kjjBNFSOzxeZq4kg77dvNtnvOoCoGPLTn1vBC2O29kfc3u7jBSGaItMf+ZSLJiQJQ9vHMjUsU2VxpsC/+ROnWd8dZO1KZVnixdMzmdO1N/T4zW/dZK9ts92ykWVRcfjCao1CXlS3UdLq3WuLZToDl++9vZO9kwtrNU6tVKeqkS/PFlhMHR0bewO29g+6dSzO5NlqHnw+Nl9kvn6UyPGs4n5y4JU3N/m1P7yZff7yS4t86flFbm31SJKEW1t9ZiompbyBZaoPzYL+1uubmRyQ0iSMH7yzx07aBUZRJH7paye4vT1gaAfstkZcudthrpZjv2NzbL7E8fkShqbw4pmDRMKxzAnCmKt3O6zMFRmMPLwgIm9pvPLmNpom43mRCP6eybPXtpmtWXhBTCmvc/54jc7Q5/MX5vjmaxtEcUJn4LLTsqkUdWRJ5sdfXuLrnzr2nrLsUbHfsfnd796BBG5sdjE1hUJOZ31vyLnjFVRF4fmTdVbmitzYEM/69lafWtkU3T0MhRdOHdz/eG26fsj33t6hWjLY6zgEQcyJpTKSBD/3pbVsnEMn4HKqk/3+9+/g+jGaKuF4ET/9hWN889UNSETwRs5U+Wu/cpFLN9v4QcztrR7re8NsP/rqS0sPDIp1vJBLqS631RyiyDJztdw98utJsJ5WQQJAgufW6o9MHB/hXjyOTjCwfd651eYH7+xwe3uAZaj4Qch+18ELIjwvwg8iJFkkL72XgSYDui7z0ulZ1vcGkEAhJ4Kxzx6vYTshrb6TVXs9uVTm5QtzmVN8PAdub/fxw4iVuSLlvM6LpxtIknSwP3Zstps2pbxGo5JjpzXKAg7n6zn+4s8/9wE9xY82rt7t0B1M6xKvvLnF+q7QtRVF4ue+tPZQ++Kjht9+5RbtntAndVXhl3/sxD0dBo8gEMfCfg9CYb/nLY3nJpKYPmjb4EH4tW9e59Uru1y+3c74hAdBQlAKskRaNVJOnfOiuqWuyZxcqqAqMmtLJT7/3MITB+G/fbPFyAnY2BtkhQJ22zZriyUUWWZlrviJTmZ+Wrb6ldstfuOPbxKnieufOtPgpz+/+qFf95OCx5UD33t7hz94dR2AJI4xDJVGmkx3e7tHP22BHQQBWy07s0tLeZ2/97/8yfue80/e3OLGZg+Akeuz33bQ0mAGSYbFutADbm50eOtmCyktkStJEx09EnjpdIN8WgF6aPtZQsH63oBW3806h60tFvnMuXmAKXvjsMx0vCCriO2HITc2etn9jFw/q4w7dFyurw+ygIPj8yX+xr/5IiCK3Pz2K7cyvtPUFY7NC516vzPizRutrBPIbDWXyWjXD9OuQ+J619bbJIn4XRTHnFmpZsGdq4ulLJHj8q0Wr10RnGCcJMxULGZS/s31wqkEjHOrtSeuNHY/XWOs979zq83AFkl7qiLz4umZh3YPeL8Iwog3rjWzohhT9yrB8yfqH3oSybOOR5UF/+KVm3zrzW16A5EMYWoKkiyhqwqzNYu9toNpyPQGIoGhYGnUyia/+NWTWbGEMW5u9mh2HcIo5s5OH8tQefdOB3PcwSLtkH3ldjutdCuqywdBhOtHhGGM40csNfL0hj79kS+68qgyxxeKvHRmFtsNGdo+33p9izu7faIoJklERfjPnJ/jU2fmaHUdBo7PbttmtprjzLEKQRBPrZfzazWiKOHqXcHfbjWHNHsO3b6H44YMXZ/Zqgh+zlsqC/WC4FMQgWzVosm51RqXb7XoDjxubfWRZVhbKOOHEaauEscJ1ze6hFEsOoHrCi+dneXUcoUwinnzWpMwEvKplNc5t/pkATCT/phmT7yH+VoeJAS/+DHn449wL36UtsERDvCg/bLVc7ix0WO/Y9MZeMzVcpTyOnGS4Lghr17ZpTd02dy3kSUJXVeYrYpgzyQ5CAbNWxpLjQJnVirUU71tv2Pzj3//Kq4bEsUJmirxmXPzVIs61zd76Z4qsd0cCtmbBqauzBYwdJVzx2ucWqkgSxJ3dvo4XggIG31tscS7d9pcutmmP/Jw/YicqWb7tCxLRFGMaWgszuRxvZDj80W6Qx/HDyARgZ4DRzyXMyvVJ7b9r9xq8Q9/9wrNlEtYnMnzZ3/iLGdXHy/A4lH8382uze985072m5NLZb74wuL7GjdAd+Bl+w98uL6ZZ00OfPfSNtfGvm0J/tQXjk8V+rh0o4ntirkpyXB7s4cXHPAjK3NFXC/k9k5fFJsK47ToVEy1aIhEnzDm1laPoRPQG4qidYszBW5t97i9deD/KOY0+qOA/sgnjhN++vMrlAuiu4frBfz2K7fxg4hm10VVJE4uVyjkVMGF9lxubvXQFJlSweDUcpmvvrRMf+Sx07JpVEUSxcbegGvrXZo9h6EdcH61Rq1sUjBVhk7Iv/zubVxfxEjoqspXX1oiIeHdOx1kWeLc8RphGPHHb2wRRjFBGFMrmfyFn7uAZapCp7F9tpojdE3BD6Ls2rYXsLE7pDv0GDkBiw1R5EJTZMIoZnWhhKGLbqpjzkdRJBLE/X/n0i6KBI1qjkbV4me+sJq9p1tbPb79xlb2+cyxKp97bv7DmzhHeCg+KFnwe9+7w52dPs2uy9AJOLlYZq6ew/FCCjmNvbbDD67soqcJBLWKyY+9tMT3397ltWt7jOyAREqwnRBZkgijED8QnSI0RSKMEwxNIQhj8jlddNcwFEZOiBdE1Io6CVKmW4/cEBnhD7t4skZvGKCpMr2RT95UKRUMXC+kO/S5tdnFD2Nypuhi9Zf/9HOcOfZo+vev/+ENBrZPkiR0hx6fvTAHSGzuD1lJEygOc7R3tvsidgnYaY+oFgyM1C66eGrmfScr3S+OY/khcVs7rRG/9/27NLsOXprgcm61xounGx9YARQ77cAz3ivn6jmOz7+/ojxH+HDwQeoE/6v/27d560aTv/5vvMDPfmntAxjdEY5wf4RRzP/2//EdXr+2z0zF4r/8j752VBDyCfCs2QaPimbP4e//5ttEkdiE1hZL/NmfPPuQoz5aeO211/jf/MP1qe9+4+/+0lMazfvHL/7NX5/6/Bd/7gy/+hPnn9Jo3h/ej671rOFR8w2OyuT9iBFGyVTAheOFHM6jsd2QycitkRs89LziPNPn6A2FEzAIBZHQ67skCTh+BIjARADXj3j5why1kkmQEiySJBHGMdfWBbHlBzEk0LM9ojjBdn1BOoYJYZQQRDEDOySOE3oDQeL5kTim2RPBoVGUEIQRbiCu74dRZkyNCcrhSDionJQU6g59ekM3ew4J4HgJSQIDxydJxPgB9rvuPc/FPvTsxmTTg9BNg77H6Bz6fD+MnEPX8R5+nTF6A1HlPEmEw3vkBHh+JAL6fPFMbUfMCS99dg+6j/dzz886OoOJd59Au+88vcE8JjqDQ/Nt4N6z5ic/T/47jhNcP2LkBIycgDCdR0EQTZ03jkWloTFsL8RNZcYwdXD4QcTQ9ghTZ2xCwsgJieIYP4gZ2iLhIoxi4liMu9kR6zeKRcXf3tCH9Pq9kUcQxnh+iJ+ufzcQjoreyMMNwqxLUBhG9NNqwkMnYGCLjj7i3DGbTTtb516QOpm9kCgSx3p+hONHRKnMcdyAoe2LdXPoWY3RHXhT8mMsg/qOj+0EhOGBnLa9gLXFEieWylSKBstzBc6v1R+41g6vu6k5ep+/H+HZx+ZE0g7AfsvG9sQciSKxdsYODucR9ojJOZMk0B162X44Pmd/FGRzaegExHFCGIpOFeM9Xuy/B/N5vKf5oXAwOl6AmwZwtFI5kcTCKRMlECfjduISYZjgeqJidRTFmfyJohjHCUjihCS91Obe6IGy7FHR7nmZTuT5Qodw0r1xrE91Bl72HOJE6CTj/dL1oszBCQdrz04drOKeouz3STItl203yK4/sEPCtBNIEMYMhh4jR3w3Pmd36GfjGrlBKlOTdJz36imTmNTlxgH9cK/8ehJMvYPkSBb9KDHWbcdVq+M4FvMnTLI1GiUi4ftBGfYxQrf3w4gwSgjjhChKGDpiXYxcP92rY4JQzO3J9zy2PfwgErqlH+EHYl4D9Eepfu0d7LuqIlEq6BQsjXJeZ+19Vuh/FuG407qE50d0hwcdEIQsvn9HhI8yxnYiCJvscWyXTxqC1Ck/xmH970eFKIpp9x0cP5za1x+EZOL/USyStEe2eNdBEGO7YabzOu7BvvMkGD8fz4/Sblphpp/A+9MFPk64hzf4Ee3Dux2HeGJCNO/DnRzhR4fd9oHdECUiSWGMds8lScY2Q0QYHmgFI+e950tnQq4P7WBKd2x1DriA/a6T6esAXhBO/btvH+xprYlxSUgULQ3TUCjmtank4kl7IzwkMyf3TNed1kkmOYrBKJwaS7NvT5zDm+I7J8fV6nlTMnG/c3DcpIwDaE9weyMnxA8PntHkft+eOH8cJ1PvZ/I5i2s8uUy7n66RjXPi/GEU44ePJv/fDzx/2m7qTt5r8mg27BEeDa2+SxDEuL7geqM4Jo5i/JTviqIY1wuJkoQojokSYX/ud+17zjWeg2EUE0UJvcHYFxClNquP56d2Q2rHen7EwA6IY/DDmDAUvJ/tBmIscUwcJ/RT23bMUet6mh6aiEDLOEoYDgO6QxcviIijJLXTxbW7o8PrJcw4EhBzbminvEQQpuMT87/VcwkiwSGO9YjxerDdkCC1s8dcyzgRKorFcx3rNMIWEsf5QZQlcIzP86SYsuH96GD9Jo/nGzjCEY7wZJiULYf3y/Fa9ybkQhglmT8lToQekkDG73WHwq8xtIOUAxU+F8cLswQGEHpHEESMWRxxXp/2wBMyNhAy1fVCkpjMtxKFYpwjN8jkl5f6NrxUVkVRkhWEGsuuoe1Pcb85Q0WWREeiYl5HVRWCKCaMhA4RJ4LHHcumJ7X9dzs23qFn2xk+vl3xKP7v7sCb+s2kTvl+8En0mT4qpvyTCdmcHGNyzozskJE77WOL40To1Ulq7yYHdu943e12xFwe2wnjzqJ77QN7IElgu5n6G6OxH9HHC8J0vUapXhITJzFBui52mjZx2l2YRPgGAPZSG+jAryjuY1zcKAjG60ocNx6L5wsfYxKnMQydEWEaB+EHYm2u7w6J4iTj/Md+mLHdkPnxs+cQTt3v2EbpDfyUnw9IEtLzx1M8o+OF+H6E6woZMb7v3iEucmWuyKnlCpWiwWIjPxXYfoRnG53BQcHGIIhwgzDj+21X6L2eH5EkYh8b2QE7zVEWlxPFcbaXRXFMFB2I1zAef39w/vH5gNQuiQlS/d5JbewwFjtfq+dheyFeqsPbXsjx+RLFvEbeVJFlCU2ViWOxj25MFDV5EOI4zpIzk9SHFQRC93fcg7iqB8n2sQ0zPsfY1/F+cL84jocf46bxEikf6gREUfKBcK9jON70fuoc7W0fW7heyDtpUdEXTjce8usjHOHJoCoy//FfeJmlRp5m1+E/+3997wOVXUf4eGCvbWcJHDDNuz8r+LUf9O/57jf/5LWnMJIPFj98d/9pD+GxcTgm+1F0rY8rjpI4fsTQVJlC7qByWaVoIEnTre1KBR1FOfiuVnx4ZmMhp021k62WDBbTCpemoaSVYvIoskTB0pBliZmKqCRXK5msLZb5xssrnDlWyc6TM1W+/OIykiRa/8oyLNTyGJpCKW9hGQqGrqBrCnlTZbaaQ1MkFhsFZEnC0jVkCU4sFCnmNHRVwTJUSnlRqbaY1zm9UoWUaFRkiXrNRNfkrJrt0kyepTSjvl42xfhzCrIs0SibyLJEMSd+e3L53lZek1mhsixRLjy8AtbyXJG0uCCSxEO7oABUiwbZa5TE50dFoyqepSJL6JpMvWKSz2kULI1CzkDXFCpFA0WWsQxRNbXygPNXi4fu+QmrAj4LmHxHqipPtWD+qGNlbrJdtFg/1aI5NQcrE++0NjGnjXTt1Uom1ZKBZSjIMpiGxsnFg/VgGSprE63uakUzkxkzabVJy1SZqVlYuirahCIxV7XQVBGkMVcVLch1TUFVRDbt8YUSclotUJIklht5FEXCNEQ3DE2VKRd0cqZY/6W8hpK2OC3ldDRFRlMVTENlvpZHkqBeMlhoFFCUg3u8eLJGOS/WWCmnY+hq2s1AEUEkOY1KQUfXFGRJol42qRTEM8mela6Qm6gAOFfPYegKpbwunnHBRJagUbaYqVgHLVglqBQMNFXh888v8I2XV/jqi0tYhkq5YEy1Jp28Xu2Q7FmaLTAp6h9HRhzh2cDFk3XkiXV74USNSsEASaxty1TJW2IOPsr7n2zHa+gKs9WD/RAgZ2nUylZ2rlrFxNBkNFXGNFQa6R5fyutT1VpX5oXMMXUVU1co5g1KqbNvebaAokhIMqiyTL1kcP54lZyhomsKui5TLZmYuug6kbM0ZipCTlRKJooiI8vi/l86M/tAWfaoWJjNZ3pJIadTyuuUcjqWoWRVPVfmCqk+RbpXqhTS7hLlgj61TsdrU5xDxdAUynmNUqqb6brCfP2g05V4fuL4RtXEUBVR1SinUS9bzFRM9DSIbaZiMVPJZXreTNlKK6BKSJLo1vMgFCd0uUJOyzpkHJZfT4JJnVJJA/OP8KNBKS/m4kJaCVtTRXXHvKViaOL96qqEJEvIgPweVpoMIohSV4QurslomsxszUJRJOpli1xaPdfUxVqYlDlj2yOf2gM5U6WY09HSudeoWlP7YyknKlZ96swsL5xu8MKpBscX79W5P66oHNIlLFOb0jsNXaFRvX93vI8ylhoH8qhc0EWr9yPcF7oqT3Usqr6PveyDgKLIrC6WKVoH6/VBkBB7ryyJf6uKjJHamgCWpVIrm2iasENr6f7+pBjb3/mckFOl9P9j3br2Ca/adNhG+FHZ6icWy5m+IkkSJ5Y+Ocl4H0WcOV7LbENNlVmb2FdPr1SQJLHG85ZCwZqwYR/QbXRlQs9sVCwqE3Pt9Epl4t/VKb6xWjqYg+WCzkz14LgTywfHHVsosrZYZm1BdPubPOekvaEdkpnLswcVjot5PbNRgKmOt41Kbqqr1cmlg/PP1Sx0/SBpZPJ5HZ8vZJ0+AE4fPzjnTNnEmJBrkx3x5ms5rIkuE5Mc28rsASeoKlLW9UPcz8FzFhzjk9v19+gaE3r/pMywTGG7fFiwTNHZbYyliXtVFflj3+H3R4nV+TJ5SyVvallgk64rWXc9Q1co5oysi5YiS+RNlTP36RI9niOappAzVeZrovutqatYhsL8TI6cqZGzFExdwdQUijmd+XoeRYacoZCzVCxT6AWGpqAqCpoqs9jIYxmiG28xp7Myl+ohmiw4DkulUTVZbhTJW6LDh6GL3+uqcu96yetUJni0gqXRqJjoqkwxp2Hpatbt5cRyBV2VMTQFTZPRNCW712pRcOWaKmPo4v9j/kRVZCpFI5NDBUvPdDdTF/c5xiSH935RmLCjBI+vZff7pF16jnCEIzw6Jm20w/vlmC8s5HSQRNVuQ1eYqViUiwa6qjBTtZBlCVNXBH/XKJA3NeplE8tQ0XUFWYJy3uDkpH40X6KY1zP/bs5UqRRNVhpFNEUiZygoiky5aCDLoKgylq6i6zKGplIvmZmsLKY+j4KlYeoqiiJx8eSM8M1qoor4bNVCVWXMlAuqlS3Or9Z44dQMn70gKu6buoqhCW5IVWTKeYNi7oAjfRLb/8yxKkVLy/SkWslgufH4frhH8X/P1/OZ/QLTOuX7QWXSf8uRb2YSh32rhzuUTL6fetmgUTn4fGy+gKEp2ZytlcRaqpctZEkin863M8dEHICVrrFG1UKS4PxEFxdDVXg+TTzQNMH710sWhZxOvWJSsIQfMG8qaIpMLrUBzp2oY+oK1YKOJJPtyxfWqmLtp3N2/P/n0+7o4ySoWlnIgbOrFQBKeRUkUeCqmNM5fayCpgr5kLfEfb5wppHey7gboJU9S1mWyKXXqles9NpC/pw5Jq5hGkrKEedQZIlqyRRdDlJ/x1zt4B1UiwblgkE+p2EZasbbLB7qcKoqMp97bp5vvLzC1z61fNR5+2OE5UZBdO6TJArpPChYGvWKSaVgoOsKlaLg8XVVZr6e49SxKjlTyfg4UxP/Fz55mbEINjQZXZfR1FQ/z2mUiwZ5S/i0DE0mb6lYhkbOVCkVRGEHQxdc4spcgUbVytZjrWSStzT+1BfXePnCHGePV5AkCVWVMVSZC2uP1oVDlg9kkSxLmb9CTX0f47V3mKOd1O8rBSPjCg7zFI+L+8VxPAyLM4VszwbhO5xcwx8Eijl9qqvHg2KHjvBs49LNFmEUM1u17pH/RzjCh4FCTuc/+ctfoGBpvHu3w//1n7xxT2HyI3yycWy+SG6CY1tdePa6Jvyn/5Ov3/PdL3zx0z/6gTwhdHU63vxXfuL0UxrJ+8c4fg0eXdf6uEJKjqTtI+NR25s8DFGc0Oo6SGmw8WRw4Rii1aCXBQo/CrwgotN3MXSFatEkjmOub/QIwphGxSROOzn0h15GCtzv/P/od9+hP/J5/nSdnK7j+SKrv1oykCSZ0cjj2mZXVN52I1w/ZGD7RDHMVHMs1nNs7g9p913KBZ3n1kSLQlEBI2Fo+wzdiCROkGSJ/fYIkOj0HCKgUtD58ovL1MpG5tS9vtGhN/T4kze3afUcygWDasmkVjIp5HRcP8R2AlRV4UsXF2hUD5zbA9tn5ASU8nrmDHoYdloj9rsO87Xc1LkeBNsVbV6F0+bxyNCh7XNru0/OEIF0SGlVsxgUWSKMYjRVJghjijn9ocZmb+jheCHlgjHlAP44Y313QHfosTJbeF+Bwo+KD6Pl2Xi9LM7kqZcF4Te0fYbvMW/bfRc/iKiXzawCZrvnsLE/ot1zmK3mObda4XuXdtjtOXz6zCyNqkWz67LTGqLIMrWyyXw9T6fv0hu67LZs1neH2ViOzRf5+S+fQJYlZElEfzW7NvsdhyROUFSF/lB07vCDEFmRmSlZ1FKZNq5E0yjn6I5cgjBGVWW09NqOG/Dau3vsdh2MNMFju2mjyBLzMzlR2Xroc2y+hGkobDVH7LRGzFeFAzqM4jSBQ6dWMtjrOllb5K++tISpq9huwOtX93D9iLPHa1nA4tD2ubnVS6ttJeiqgqEpWKZIDqmXzbQyoU8hJyqPJ0nC7e0+nYFHwdI4uVRGUWQc76Dr0X7XIYpiFhsFZqu5bB1WCgamoWYyIp86wI/w7OK95MDVu23eudVmdbHEi6dnAVGJaWj7BEHMjc0usiLxwskGlaLBfsdhc3+AosicWCzfI9vHbcbXFkrZvnJ9o4Pnx6wtlsmZKoORxxvXmvz/2fvvIEmy/D7w/LoOrVPrrCzd1Xp6GqOHHEGAA7lLgOK4SxpIOy7BOyx3wbNdszOStnfcpVgeSaOwA7k8qjvwuBQACBwJcIABp0dPd0/3dHV3VZeu1CK0dO33h0d4RkbqrNT5/Zi1dUVmiBee7s/f+733e8+07faOHSYGsxE/kUsQUGn4u0UkoyqmhpMQRSG4zkV4uD9fQUiVMDWUguk4WM7X8PUfLCCbCOFHPzkFy/FQrrZw+1ER/akwblzKwHMFDPdFYZgOLMvGd24vw3JcDGUiWMg3kI6r6CxAeXMqjWQshB/eX8V3bi9DkgT81Gcu4dbMzquF6IaNhwsVmJaDWFiBbjlIRBR/5VDLRSquolg1kEmEgmu70d7JJxxSYJj+qjO5ZHhTO6tzbWqyhMVCA5rqT46pNS1MDCWQiKhoGTYetT8/kwhBUyVU6zp++3uz0A0bn3l5CBODaSiyiAezZdiui5evDyKsSihUWrj9IA9REDCQCcO0/XqhU7/vpLst57r+Kl/1poVqw0A4JOPSSGpPk3d7ffSkhPcfrUFuD4hFw0pQN9HB7bdNoBs21sotvPXhMtbKLWSSYZimjYcLZVQbJmRRwFKhAVWTMd0fw4ezJTR1G5IkIqwCpg3Ewxp+4Q+9CEEEDMNGqW7g8WIVruPCcjzMjKaQTWootlfCEgR/QGUwGw0mN1Xqhr8qo+NBVSVkk2FIouC3RxerqDdN2K6LYkWH43qYHErg5nQO5boRDJZcJIVKC7bjIZMIBdffVvXzWdLdT7w8moR6iANI55HjuChUdAiCgFwqtGERhqPoG6wWm1jM1yFJIgYzESwXm3AcF0O5GO49LeKtOyt4MF9EuWbANB1omoyBVBieKMCyHMgC4IoiUjEVa6UWihUDmirhxat90BQZpaqBvrSfhFiuGxjMRfHZl8YwdAiDQJ7noVDR4TguBBHwPAFhTUJTtxEJKZzQiJPpq6+Wmvi3X/sI8ysNTI8m8ce+fJ1tgEN0kHrg8WIFs8tVjA8mYNsufufNpxAFEZ96aQj/+1fvY7nYwKWRJH7uCzP4ta8/QViT8F//2DVo2tbxwXrTxK9+/QEqNQPPX+7Dc9NZ3H5UQCqm4up4Bt94dwH1lonnZ3K4N1vC196ex2A6jD/65ev4J7/5AVqGjR/9xDjqTQcfzZYwkIngcy+P4K07a7AcFx+73o/lQhNPlqoY7ovhlWsDwYpI6XgIT5eqqDZNJKMqxgcTKFXX68xa00JT92MbhYqOt+8uQ1NlfOr5YZTrZhDHsR0H37q9jHRMw2deGt3w/apNE0+XqohHFEwOJTfERG4/yOP9h3n0pcN4/dYQPnxUhGm7uDaRRrluYGmtgXQihOuTGTxdqsHxXEyPpPBgroTlYhP9qTBuXspB6uozLBcaWCs1MZSLIh0PoVDR2xPS1r/PbtfwcqGBpXwDqiLh0khyx2tuq7YG0FWnuh6yydCGCRpHwbJdFKt60N4r1wzopo1UXDvUySbn1U51wdPlKlaLTZRqOlIxDU3DQkO3sbBSw5PFKjKpMD778iiaLQuZeAjFug6jHeu2LBeRiArDciHCn5yTTvixN8t2IcBfqCQV01BrWqhUddybL6NY1SHAX5G6LxlGJCwjGlYx3BeFJIp4OF9u78gtYDHfRDSiIBnRUG4YGOuL4dJYCrWmBQEe5lZr+PBxCaVqE4bpIZtSMT2UwXMzGeRSESzm6/jBR6uQRWCkL46lQgOVugFFlvDi5X4MZNcTp7pjY7rh4P5cESvFJrT2BDTd8Fegtm0XUyNJDGWj0FQ/iUMQhOC6WFyrY7XURDjkJ5yb7d1N4hGlvZOpiYFMBNlkGPlyE996bwmGaWOsP4ErE6ng/Z6VaTkoVnVoij8hszsOSBfPUfQNaHee56FY1WE7W98vO/HCasPEYr6OqKZgaiQB1/V/V2+ZqDYMFCo6UvEQLo+l/B2Jmv5u3dWGCcd1MTmUwPhgAnefFPGDj1ahyCLiEQnfe38ZtuviC69OYGYsDcO08Rvfeoz51TrCqoQr4wncflCEpsj4xK1hzOdrWMw34HnAjaksnp/JIRFVg93RP3pSwodPCpBEEfWWiUbTQjYVxgtXcljKN9FsmRjK+ZPnHcdFIqbhxSv9WGnfZ+IRFcv5Bn5wbxWSCNyaziKViBxK338pX8fbd1YhisAr1wd3TDLeyV7Gvyt1A7MrNSQi6oZk3IM6rrGZ01YPbDeu1a3Tlh8fiG/6e3ieh3xZh+d5yKbCcGwHDxYqkAQRl8eTcFwPxaoRTOzz4EGA0N68y8NaqQW7vVOXIouoN03opgPX8zCQiaBY1qGoEq5PZBCLKPiP33mMtWILjuNBUUUMZaNQFQlPl6rBOIsgCsjENQxko/jSa+OwHQ+3HxXQaBkoVk2M9MXw+VfGgr95R2ds/e7jAp6u1PBovgLbdfH8TBaffXkcD+ZLqDd0/PBBEabl4sc/M4VcIoL78yVYlh/j0BQZM6NJzK/W8B++8xSpqIrPvTKG/+3XbmN2pYZoSMEf+dJVTAwn4Hl+zpPX9dnzKzWU6gaSERWqKsGDB8Nw8HSlCscBro6nMZSLolBZP+bFcgsfPC7AcT3EIwoyiRCmR5IQt1sBiE6FreqCQqWFuZUaJFHE1PDeY8oP5kuoNkyk4xo8z1+cKR3XUKmb7XucgTc/WMFSsR4kUgz3xSCLQNNwAc+D67n4aLaMSs1AOqahWNdhmi4kRYKuWwipEvrTEYz1x/F0pYrZ5ToU2V+4YGo0BUkE0lEN2WQYlYaJVFzF2EACiaiGRwtlGIaDwZy/OEMkpAR9y/fur6JpOnj5Sv+eFk3tsG0XD+crcDwXUyMp1Nq7/KVjGko1I+if97bnu/uwLd2f35RJhNYXbtwj07TxxruLKNZ0DGYimBpOoFw3MdoXCxawMSwHD+fLMEwHfenwhoX5/LLomFupwQMwkIkeap++M35ab5kIazLGBxInksRRb1l4vFCB47oYG4hfuHGj3RxWm+Af/dpt/PtvPMKXX5/An/tDLx5O4Yj24If31vAX/9F34Loefv4nbuKnPjtz0kU6c05b3+AwfevdeXzr9hKSURU/98WrRzpH86j87H//6+jsDZgOAf/8r/zkiZbnIL79wwX8tX/xFlwPuD6ewl//xc+edJEOpDN/rbutdZ7sNd+ASRz7cFhJHKdV51QQBAEP58sodG0NfGU8jVRcg2k5ePf+GuABD+fLkCQRD+bLqNQNqIoIw3RxdSKFfFlHLKyg3rIw0hfDlfE0kjEVentr8R/eX0OxpgOeh0LFQCwsY6nQDFaVuDyews98bmOG2BvvzGN2uYZ600SlYeL6VAaDmSjSCRXf+2Al2DIwFlHYgKAjc5YbWo8XK1grrW9RPDOWClay+3f/2Z/wsVpqQhCAH3luCLlUBNd7Vsa487iIck3Ho8UK3PbEzmrTRF/KD9jXmiYkSQhW3uhLhzeslNlRb1n48FEBa+UWSlUdjxYqkCURluMgrMqYGE5AEgXkkhF8/4MlaKoM3bQR0WTk0mEkYxpySX/FnnhE3RCMvTaZQSKq4oNHhWDrZgC4NZNDWJPx7r1VmO0tTAUBeOlq/66Bk9WiP2GlYygX3RBwuv0wv75VqQC8cLnvSFfJpJO133rAcVz84KNVdFpcsiziuelscD8F/B1zbs3k9l2WH95bg2E5KNcMrJabmB5OQpZEDOWifsJG1xbF44PxYAUbw/LvxcHnh2RcGkni/YcFeJ4HQfB3aRjKRvHR01LwHplkCDNdq86989FqsBW6IAAvXM7h3/7eg2ALRUkS8OXXx/HX//nbaO/KjEhIxl/+0z+y4/e6+6S44bp+7lJ2z4mYh+HDxwV/O/Wuz/9P33u6/jMB+KnPXNoUaHdcD+98tAq3/WVlScTL1/oPXI5SVcf9uXLweLs6dSf1polfe+Nh8LeOR1T85GcvHbhMtO4gbYKH82Xkyy08XKgEW34XyjoADw8Xq/7OdMkQVgp1SKIEQRRg2w5UVcZ4+76TS4Xx8z/xHADgg0cFvPPRKvKVFgzTwehADAPpCFRFQrGqo960kIpr6E9Hgvvjdrrvj4VqC6mYvxMc4K9efdDBeaLz7LD7Brpp470H+aDOXi40gnu3aTsQIODxYgUL+TrqDQvxqAJVlZBL+LtDPVyo+Ct7CwI+eJxHpWZCtxwIAhBSZEyOJCAKAmpNE/GwAg/AYCaKscE4Pvn88L4HNen0cxwXv/b1B3gwXwHgr2L42ZdH8Vp7tV56ds9SD5i2i3/7tXtB2/mDR/7knI7PvzqCH/2R6V3f52tvzWJxrRG04z//6liQ6Nzdrm60LMiSEOxQcftRHlp7YYhCVUesazcGUVzfLaNSNxCLKEG7YLhvPTl0ca2O+W36HBu+a1c8ETh4/6dbqabj/mx5w+POapzVpoGwqgRJEQPZCCbau2osFxqYXa4Frxvtjx3qCk9N3cL7DwvB40RUxbXJva06SmfXdnVBsarjwVwZK8UmKnUDiZiKwUwU8YiCt++uBs8bzEbxhdfGN7zWdT08XCjj3XtraOo2losN5BJhDGTDaLTsoG84OhALdiWeX63h7TsrqDUtLBca7VWk04hHlE3xr0bLwgePus7VmIprExvP1fnVGt6+u4paux7pS0fw8ZuDGyYJdcfElgoNlKp+8jcATI8k8Ynnh7c8Zrbj4p2uWEmpqqNp2EEsbzAbwcefG9o02ba3vRQJycHK2lv59TceBuWHAPzEZy4hcQYTsen0O8vjBhfBD+6uwnb8mIcoCnjpan+QxOm63paL7fWqN018492FYIJ1qWbg6kQa6bifXPfKtX78/771GB88KqDaXtRHFPwdC/vTYTR1G2FNxr3ZElzPXyn82kQaP/P7/LHQlUITv/HNRyhUWqg2TDR0C9PDySDRs1PvtwwLiiwFdXomEcJMe6c03bTxb792P6hbNVXCH/r9Vw7zUNIOTls9sNu41nF+diejodMm6s/4SaidccrOeN53319Ey3Da93kvGFMo1fwE1XRcg6rK+NQLIwfuU/zeW3NYWFvvw3zu5VGMHvC4/MbXH+Dffv1h8HisP4b/25/5ZPB4t/qldxzz+ZlckAza21ZSFREvXjn4WAMdn966wLJdvHtvdUPd/MLlnRc667XVueR5Ht6+u4r7cyU8XaqiXDeQimmYHk1hZjSFl6/2B23nxbU66k0Lmirh0UIFLd1C03DQMixMDCagyBJs14VpOljK1xEK+bvlZRMhvH5rCMDx1iEn6c0PlzeMi758rR83prIbnnN/roRS1Qge7zb2cphOevy044f312B0VvQTgJeu9AWLj9LhtQn+7F//Xcyt1PE//Ncfwye36VsTHZXf+MYj/MNfuw1RAP7in3odr1wbOOkinSmnrW9wWPLlJn7rO0+DsYi+dBhffn3ypIu1L/NrVfw3f/X3NvzsN/7m2Uvi+D/+z19Frasv8d/+4Zfw2s2hEywRbWWv+QZcEogA+CszPl2qQhAETA0nNgwaAwiCm7bj+itoeJ7/HMGFZbvwPLR32vCzvwEEg9CW47Rf662/j+2/j223n2P5z+lMetQNZ1MZO5PKOkXrvFY33GDQBvAHwYlos871t9Vj03Lguv5jz/MDSra7+VqyXReu56HW8Fevsh0XmioHSRyu623Ymrr3M4Oft6/TzjVvOy5EEe0Vp9q/l0XYrgsPgON26iAPrrtev3ieP6Ftq+/V+9mOs/4eHZ7nT7reLabQeyy2e2//TduPOQmO2lwP6E6ZdRw3uJ92WNtcK7vpvM5x/Yuncy92XC/4d0f3eev0fL5t+/fz1VIT5ZoBWRJxaTSJvlR42/cIPrfNvx694Pr0P8dDXbfR3awwrc33+O2+1/rnHm/OsdPzeY7rbWxftOvJXp7nBfUa4NcdnQ7sQfQeh60+czeG5Wz4Wxv27sefjo7t+Pc1110/VyzHhSwJcF0Xkiih0fIHUGQRCGkSPG/9vgm0/6ZtZk8b2rb8NrrT9f5O171257J5G/7t7wi3Xm4iOnqO422ss7uud9fxIIjrfXLX9fvhjuWhoVuoLhhYLbbQnwaiYQWWvT7ZwXVd2K4Dx/EgSEJXO0EI7l29MQA6H1zPC2IpncfWHtpidDxc193Q7jQsuz0Zz287Nlv2nt6n3p6s7bgeIiF5fRAdG9uTfhwP6Ey9Nk0nSOJwHbfd7/YfG+b66za3C9bLvLndvnWbodNf2e51B9HbZu/uZzi2B1fxtnxubxkPoyzdevsuh/3+dLZ0zrdO27zz/4ZubXhed2zL8zw8XKigWNGxUmzAMGx4XX1+y3Y33Ld7++DB/d/r9DvasXvX61ziG8q21fusP8eD2/Vz13WDGN3669Yf++ME3XXJ9vcc1/U2xEosZ+N7O463oR+0oZxez+MdbIhBeOB9kOgC8sczu9rE7ZiJKAAP5ssoVf3dC69OpHfcfcp21vtN/pjF+mPX9etfs13veY4HwIPpdH7v15GStB4ndTx3Q5zOctbHaBzXbffT/Md6V31qOx4kaeu2jd0er93qd3Tx7DaudaSf3fNZpuVAlaWueGXXfIGu53fa0o7r+ovbOH4ylOtfUsG1Bxy8nd07pqhbe+t3baXe06bT2zuE246Lj56W0GhZiEUUXB1Pb9oFpfO8DY/d7naX13M9M25zVjnuwetm1/XwYL6Mcs1ASJNwZXz9XtVp71t2Z8zBf41lOUEbvdN27u6PmJazfj8L7k8iPNeD5TidHCq4nrthTOqi3FN6x+G26tN05ikFj4/x2BzGuOFh2NAP8/zHCmcfHqrFfB1zK3WIooAXnnEhFKKD+MqnpvBkqYr/9L2n+Bv/4i38r7/4mU07D9HFoxsOynUDzZYFURQQUs/evLhqXd/0s/m1Kkb7nn0XyONk9fT3StXN34vOjgux1+Ibb7yBn/mZn8GP//iP42d/9mdx9+7dky7SqeK4/naqncGc+3NlpGJqkM2vyCIMy4KuWzAtB7GICtvxkE6EkIppuDSaREgRIEsSsgkNN6YyiIZkaKqIkCZjrC8OQQByqRD60xE0WxbSyRBCqoRoREYsLGNiKI5oSEYsokKWBHz8pr8qpGk5MC0HTd3G+EDMX+E/JCMeUTGQCUOWRVweS2Gkv71ingDc7MmE39excFzoho2tNqip1A009fVAju24QTDmKO1UpuPW1G1U6sapKhNtr/fvNJSNBtd1WJORjmvQTRu24+LmdBaqIkFTJWQSIYRD/uoaGyYj2y5iIRnwPFiOC1WVIMAPBhnt5K3BbASZuIZ604TrehjKRlFvmlhYraJY1YOgUSKqQtMkhFQREICpoQRCqoxEVEUuGcZwXxTpmApZApIxFem4BlkSMTEYRy4VQizsRwH60mFMDCaC7yUIQrCC1mh/rDP3Bam4hmhYWf95W186vKcdM/pS68+TJXHTauTDfeuflUmEnnnFC9t2Ua7pWw5Wb4XX5Olgmg6WC3W0egJ6iuyfM5btJ2+M9MUQCSnIJNtbwQnA6BYrv+pmp85tv2/L3PSczvmcjKrIpcJQZQly+/MG0hHI7ZVnVUVEX3r9vI2EFKQTGhq6BcNyMNIfg4D1yQ22608KScVDwbUjigKG2qvquq5/jvZnIjBMC03DQl86jFhYwZWJdPA5VyfSGO9P4Ep7NTgA+NiNgeB81U17U4CxUjfaWyH7jxMxFfHIxmuqc42YtgvLdvaUGLIfw33R4POTMRWxsOK3L9o/G+lf38qv8/m27aLeNJFNr2/xN9IX21MCR+dv7fZ0tDKJEMKa1P5+HoZym1c13oppObDag1HZZHhDO+m56fV2UuceQMdnKBeDLIlIJ0JIxjXEIwpG+mIQRRED7etLEAWkYgpcz4ZpOYhHFbxwNYembsG0HdyczAT3h2xSgwAPYU2GLIsYG4hhpC+GdDyEdMLfojvdvgcmY5u31PY8D7phw3HcDffHmdEUwiH/Xqsq4qaErg7Dck5skIDoOHTq5+MSDfv3ZwCAANy6lAvuPUN9USQiClIxFaosQJUFmKaFRFRGudaCbthIJ/zdMCVJxAuXc0jFVMDzoMoSJgYTyCVDiEcUTA0lkG7f46NhBWMDcYS1oxtlc1y/runuW+zVVn+Dpm6j2tzcLqLNFFnCczM5hDW/L9OXCuPKeCqo++lkhVQ5WDUZAD73yliw+mUkJOOzL49suNeapo1yTQ/ajJ22XCquwW0vtiIAiEdVVOoGdNPGSF+sPfHCwXBfFJm4ilK1Bdt28bHrA7Dasa3rUxlkkxoKlRZcD3j1+gB000ZTt3FpNIFISIZpORBFAQOZSBCv26nP0S2sybv2f7bT6Tf0tlvTcQ2aKgbxh5tddebEcCJYBVOSBAxm18vVl45AVfwyy7KIgfT69zkM8YiCRMz/bEFAsCvKedXpG5rHECM9i/w+nRzEtdJxDWFNxnPTOaTjGlqmDcdzN8SzyzUDxYofQxMFAS4EyIqIVExFMqYhmwgF57Qii5BFEYv5OvKlOlbLTWiKn7AZC8tQVQGqIqEvHYYsiX79374fxyNqcJ0IAjCci26Kd/elwkjG/efIkoDBbBSpnn5Fd0zsxkQamYTfd5BlETe6+p+e56HeNFEoN2HaLlRFQjqhBXXcjaks+lMR2I4Lx3ExkA1v2YeJhOT1nUAE7LqTznOXuvryfTFkk1v3bbaKTxDR+SAIQnA/th0X6YQGRRZRrOrBKtqG6WzYXQzYGF8D/DGNsX5/nFISBUwPJ5CKaqjUTUTDEmoNAy9eyUGTJWiqCEkWcX0iBddxYTs2Xr7Wj6FcDPGwAlHw69juON1AJopMMgTP8xALKcglw0hEVCiyiNdurK96OzGYQCqmot4y4TjuhnhhLKJicnh94sn1rt3AetuS++W2+3XbLQDQPYZq9oxvHEX89iRtF8s9bXYb1zosW7XXc6kwFFn0+xCCgOuTGYiigGhIhqqISEY1yJIAUfTbk53xvPF2fCIV19CXCmNqJIlkPIRMIoRsMoxwSMFY+7nJqLrvcXrH9TAzkkJ7k0Gk4hrGB5PB7y3bhWE5yJcbWC7Ug37CYr6OfLmx6f2+/NpYMHYhAHjlah9qTQtPl6qoNAyYloNaw8RKsbllfy4eUTeOY4bWYzOdNlz3uBKdTSFVRq4rvr6fv2WxqqNc8+9VuuFgoeteJQDIJkL+nBlRQCqmQpZEDGYjwZiQIglQJAGpuArP8xBSJMyMpqAqIhzHhqr4c28iIcnfNTAdQTyiQlNEJGMabkyn/evAthELbx777r1X7qTTdzyO+TXP4upEGmp7wYuIJuNyV9ymY7hvfc7FVmMv3eMuh80fd/T/nYipx7YDSK/hvvX2RzYZCnYRosPz7feWAPi7NMW4mySdAEEQ8Gd+5nlcn8ygodv4v/+/vod6y9r9hbSj3fpVp10srECWBJi2A8txkYqHdn/RKXNjqt+f+9iWjCpnLoEDAD55awimZaOlW8gmQ/jcy9yx6Sw79y2pSqWCv/AX/gJ+5Vd+BZcuXcL3v/99/NIv/RJ+8zd/86SLdipVGwZWik1/S9JECBFNwq++8RCNpoVS1cDMaAK2C4z2RSG2V4yIajIyqQgUWcSl4QSeu5RDvmqgWGmhLxXGzUsZNHUHT5dquPe0iPsLZZimg2bLRCYVwXAuih/9xBT+8BdUFGo60vEwEjEVi2t1zK/WsVxoYDFfRyysYiAdwotXB5CIqLBdDyFVgiSJ+PwrY8iXm1BV+cDbodeaJj56WoLrekhEVVwZTwedr997ew4Lq3UIAvAjt4aRjmt4MF+G5wGZZAgzo6lD+gtsVG+a+Gi2BMfxEI+ouDqR3tO2zkfhwVwJ3/tgGYbpQJIEXJ/MIhZRcG0ic2Jlou3Vmibu9Zw7sYiKFy73wbQcaIqEBwtlVOsmRFHA5bEUxvpjuD9bQq1p48liFS3Dxlq5hRtTGVi2g9/67iyaLQuCAFwdT8PxPHz1e7PQTQcP5iv4o1++gqmRNP7Td58gX2khrMowLBvffHcBy8UmYhEFn7g1jM+9MoZCuYWHs2UUqjoc18XkYBJXJtKYHk4iHJLxYL6Cj54UcPthAYmohsFcGD//EzfR1G3MrdZg2S5CmoTJoQQEQcALl3N484NlPFio4KOnRdyayeGFy32IR1TYjouwJgcTqQezUX+Si+vtOdmiM/lJN2xo6vpW5R396QiSMQ2O4z5zAkdTN4NjHdYkfPH1yR3rte56gtfkyanWTfx/fvsOqg0TIVXCz33xCgaz64FYURTgev6kqs7fZ2Y0hWbOn2jZm0w0t1LDN3+4ANO08XipipAqQ5FF/ORnLmFmbD1Jovt81lR50zn6/EwOhukE98tuS/kGnixW2skZEYSzUYz0xdqTs0TEIyok0R9g0U0biixCkSWYpo3f/t5TVOomynUDoiggrMoIqzKmhpN47cYgLo+mIAgIOm1/6qdu4cFcCa7nrxT83oM8yjUdiagGSRIwPZJEOq7ha2/NYbnQhCQJeO3GIIZy0Q3XL+APbvz2d5+i1jBhWg7GhxJIRNRD3co5mwxvqj9uTmcx2h+DZTvItXcfWi40MLtcQ8uw8HChClUWEdFkfPqlEcQj6p6ClvMrNXzjhwtwHA/9mTC+8LFxiO1RJEEQAEEIVksX95AQMrdSw1K+EQx6DWajm9pJnucFKw2KooBLo0mkz2AH+yxKRP17sWU7sC0XX/vBPGrNBjx4mB5JIB0R8M3ba+jE9gczMn7ui9fwvduLKFZ01FomJEFAoWZAN2w8Xa6iWjcwNZLA688N4PpkFul4CK7n747X2eUqpMqb7g2u6+HeXCloC1ydSOP5y7ng/mg77rb1BwA8XqxgrdRqJ2Mm0ZfeejIU0VnVuRc7jofBbAS/79WxoH4+SpfH0mjq6+0Do7163r3ZEm4/yGO11MCThQpWK7q/Ut7Dgr87niIjrEl49cYgxgdi6E9HoBsWCpUmZElAWJPxE5+Z9p/Xnoxtux5USTzSQaCWYePukyIs20U4JOP6ZGZTW3o7T5Yq+NYPF+F5/gDl518dw73ZEr7/4TLgAZNDCXzqxZEjK/t5cetSDuP9MdSaJtLxEJ4s1/B4sQZZEnFtMv3M/Rd6Nq8/N4Sr4+lgAL5SNZCvtjDcH0OxYuDRQg0QgERExXv38zBtB6m4hpnRFKoNE4IAePDQ305ESMU0fPuH86g1bUiSgOdncsGiLa7n4u07q1gqNqGpEl691g+vvcozXOB7HyyjVDUR0iRkEgoKFQOu60GRBURDit+fEYCVYgOrxRYAP6n8hZkc9B3aDB079X+209teuTyWCiZHOB4wv1LHSqmJkCpjaiSJkcuxoF/eSSDr7cNrioRbl9bLvFJsBpM2RwdiGM492+QoQRBwdTyNluHvrKKe4106bdvFV78/i0KlBVkW8bmXRzGY3Vvi+UUhSyJuTmfRMmy8Kvg7YIU0GZ7r+W319rLSnWQowF9h2jAdvHNvFS3DRiws48c/fQn1loVCueVfCxNJJCIavvHOPP6/X/0IpUoLlYYJURIgi/613zL8SZOW7WG0P4b3H+WhGw5URcS1yQxCqoyrE+vnasuw8e69Nbiuh1Rcw9RwAo8WKwhrMiaH4rgynkYuFdnUr+iNiV2ZyKBU0xENq4i0B0Rd18Pth3l8/Z15GIaDoVwUH7vRj0rDgut5yCZDmB5JQpYEPFwow/U8LBeaeG7a2/R5giDgyvjG9tJOrk9mMdIfh2naQV++18P5MgoVHYIAXBpNIZNg/5jovBnui8HzPDxeqqJUNfB4seJPnt7G/GoNi2v+hO3xQT++JooCnr/ch6mRJBzHH0f81a8/xN0nBRQqOgYyEUwMJfD7PzaK73+4Asdx8XC+gpbuoFg1MNwXx9RwEhFNged5uDXTtyEB4zfeeIgHsyUUqjoujabw/EwOw7kYBrNRhDQZuuknxquyhK9+/ymWCw0oiojJ4cSGyaOfemEE1yczkEQhiM2ulZr4vbfmYdoO0nENX3x9Eqq89/6t47i486SIpm5DlkVcm9jYj/j6D+Ywt+KPod6cyuD+fAWG6SAWUfDilT6sllqAh0ON356UnWK5p81u41qHwfM83JstodLTXhcEAUJ7TAQC2ouveVBVCZdGUkhEVbx1dwUfPi4imwzji6+N48XLfXhuOgvL8ieExcIqXM+DYTpYWPPnC0iigKmRFO7NlnDvaQmCAHzi+WFMDSd3LWtTt3D3SQm24+LqRBqj/TFkE+tJ6WulFh4vVfC995fwcL4MQMBIXxSu62Gp4PehPv3iCL7yqengPTPpGP6XP/MpvHVvGV99cxZv38vjex+u4rnpLKrtPnhY88d2vvnuYtCfuzmVxXc/WILjeMglQ/jUi8OIhtVNC0JJ7WMoBseQzqrpkSQGs5H2itV7n6LVu3Zf56FlO/jwcRGLa3WsFJpIxzV4AFRZhiSJEAUB+XITX3vTr/ttx4Nt2/jBfBm6acMwLSwVWnBcD3OrNWQTYaSTISSjGl69OYCBVBg3JnN4ulrD+w/WsJRv4MFcBTens/jYDX8x1u6xqInBxI6JYrbt4nffmsVaqQVJEvCZl0ZPbWJSNhnGT3x2GrWGiWQ8tOX9MhnT8MLlnD9foWfsxXE93H1SRKNlQZIEXJvIBIvlHYZMIoTY5b5N8x+O20HmW9D+fOu9RQD+fY7opCiyiP/xT3wM/93ffgMLaw38jX/xFv7in3qd7ZIDsmwXd58U0TL8uTfXJzNnLglOEP3FYDo7d5/VUyGV0FBvL0KQSmxeROYsePf+GgzLbx0+WapB087m9yDf2aoJDmB2dhbZbBaXLl0CALz22mtYWFjABx98gJs3b+77/TzPQ7PZPOxinri+hIz5tQaW8zWkYhpM08RK3sRyoYFazUC9ZaJSN/F4sYJYWIVj24hFFIiigGLFX11lIBvGUr6Otz50UK/rUCUBhmHi9v0VhDW/4f7+ozwcx0OlYcIwHaRiDtaKTSyslJG+lEVfUgFgo1638HCuAAC4P1uAYblQJWB+1cLV8QSimr+6gGGsZ3n68VYbzebBsvcfzpXRameNrhkG4mEB6biGfLmFJwul4HlvfrCAqeFEsHXi0qqBZFg41M7XepkqaLZXGDUMA/EwTmwQ6c0PF2GaDkpVA4bpoC+pwjBULIYFDmydQgtr9WAby1rTRKmmI5sMtydhiyjVdFTr/rnluh4W1uoYG4jDg4CmYcFxPeQrOmJhFSvFJlZLLTTb14fn+Vt1PpyvoGXYCKkyDMvBt364BAgCqg0TqizBsh387ltzqDct2I6Hcs3E/dkiJocTyJd0NA0bumlDNxzUW5a/ypQA1JpWe6JGGa7nr/K9VtJRqRuot2wIEKDKEnTDQbVhIhnT4LkeHi1WgwnOtx/mceuSv7vIVhMm9hMg65DEna9zTZGAQ5iccfdpOTjWLcPBh48KeP25oW2fv5hvBH/retMK/tZ0vN66u4Jqw7+mdNPBt28v4Wc+dxmA3xlbyjeCiQVzK7VgYst2ga337q/BcTyslXWsFFvoT0cgCAK++cPFDUkcwMbzufcclSURcnhzgLFQaWF2uQalvZrMD++v4b8YS6MvHUG+7AdRxwf9ATVRFDaU8/58BZV2/TG/WkMsrGJyKIH7c2XcnM4iFlGDXSq6zYyl8WC+3J4YbvuDd4KAVEzD/EodTd3GcsFvYzmOH+S8tEWS5P25MmrtY51vT7K4OZ3DUr6BwWwUyj4GIHeyVf3RPSDqeR7mVmoAgLnVOtZKTQxlo2gafuLNa+1A9m7ee5gPruHVYgtzK3VMDPmZ/sWKjpZuB3/jxXwdl3v+/t0655pfwI3nWvdklXrLClYadF0P86t1JnEco869+FGhgnrThG46gAcsrDSwUmiie3GmtbKO2eUqHi/VYLeTeZ4uV5GOh/B4uYqIKsNxgbnlBl68PIBaw0ImEYYkbK4PelXqxsa2wGod17pWaNyu/gD8BJG1kj95Ex4wt1pjEgedO517MQAsF5pYWGsc22ST7vuupkiwBQHvPypAEAQsF1pYqxiwbReeCxjtlU1t0UVD91Cu6lAkCR/NlvwEQ1WBAGCl2MLT5Ro+ftNvVx6kPXwQy4VGsKp1S7eRL7f2PMH3h/fzwWD1wlodS/k6fnh/LRixfrJUxc3p7JbtDtooGQ8hGQ9htdREo93XsB0Xi2uNDTtB0MnonMPf/OECBFFAXyqCVsvGO/fW/MlIHvCd20tBO3e11IRpOhgdiMPzgHxJh6b4k7Iaho1y3fGTGBwP335vCS9c7oOkinjvfgGLhQYUWYLjePhP35vFjaksVAX4vXfmUK5ZkGURtuPhP3zrKT7x/DAkEXjvQR43pjIIawos28X7Dwvob++4Mb9ax0A2uueY2H4H9isNY1PsotMmf7JYQalmQJUlf4L4gzy+8Np40C/fqQ8vSSKiYRFOuy3cMb9ax2Am+swLIwiCcCEmMTxZrqBQ8duEtu3ivQdrTOLYgrjFufhkpYpCxQjOk/fu54NJTKmYhnJdR8uwIbX7448XqwhrMrT2/XtprYmhazF86/YSLMtFtWlBNx0osgBHlPD+wyIG24siVOom3vxwBWMDcciSCNNysVJoYqK9MEqnDPfnysGuWeWagSdLVbR0G5IoQhJFNHQb/dtcG90xMVnevCtPpW7go6dFtNqDo/lyC999fxnXJ7PQFAmFio7xQRcfPCoGcYp8Wcf8Wg2TQ1tPytzPNZaIqJ3Bg00aLQuFig7Aj3nOrdQY6yY6p1ZLrWBl7bWSH29NxFRU6yYUWdywW0cngQPw64WBjB+bFQQBiajfFslXWng4X4ZhOdDbO3mM9sfxrdtLiIVVlOsGVkothFQJmibj2+8tIR0LBW2ZessE4N83l/J13J8vw7Q9CIKI+dU6Xr46ANN2g0k9nT7c48UKChXdry89v6021JOE2js+cPuhnwwMAKWagcfzFVyd3D7G2Ctf0YNdNux2/LETt82Xm5hb8dtTngd87e35oK1Yb1r43vvLwQR7P34bCer6s2inWO5ptNu41rOqNsxgrKATZ07GNKyV/T5LSJXhuh4+eFSAIksIqTIc18O799ZjLoVKC0+WK5gZTfvx+J57vCKLaOp2cO3dny1hteiPI3ie347aSxLH4loj2C3EcQBBEDck0s6t1gAPuPuk6K+M7AH3Z8t+Eorkx3O//d7ihiQOAIjFVNSbNizTg2X5O3l89LSEgWwU9ZaFSFjBg7kyzHZspFwz8LtvzQbXdL6io1wzEYtsnHRlWg6WC81gXGl2pYb+I9pNhY7HQfqI2WQIhUrLH3tXxGBXy5ViEy3DRqGqo6774+otw8ZwTkZLtzG/WvcXQmvX/bPLVciSgJbhoFjVYVouTKs9ECH44xCSJEFTZOSLLYzm4ijVDeiGhcV8A157gbaPnpZwayYHSRQ2jUXtlMQxv1YLxhMcx9vQ/zmNQqq8a+xUkaUt72fFih7E3hzH23Vc7yC2m/9w3I4rvnwRrRSbeDBXhigArz+3t/FmoqOSjofwf/2Tr+H/8ve+iR98tIp/+psf4Od/4rmTLtaZlC+30DL8fpVlu1gqNPbUjj1N6i0bpuVCUyWIgoBCtXXSRdq3xwsFLK41ggSUueU6VosN9GfOVlz7ydLG3UT/6j/5Lv6HP/n6CZWGntW5b1VNTk6iWCzi3XffxYsvvoivfvWraDabWFhYOFASh2VZuHPnzhGU9ORprgfV01EtAdV2zkKtZaNaM9EyHRiGi2bDgmvr8GwJelOAJALVpoOW6UHyGhAFAbIjI19aT6SQbQWSLAAe0Go14Dh+4MG2PdQbdRiGiIUFF5K5GrzG9TzML+rwPKBaacG0PchuA4Ig4PHjFtZCh3/qLhRM1Fvr2z16LRXRkIRay0Y+vx6wjYREyE4Zhrk+w04yV6Eph7+CSW+Z3JaKldDJdMgK+Spahoday4Fpe1heNlBWJLhNFSvhk+8k0ka9mc9Sz0pAmx8LwWs6kxU6b+EP1m58Pz8Q409g7qzwoCjipsnTsigGK4oKAiCKImRRhCh1PkNo/7yrXJ5/bfkreDrB61VFgqhv3JI1WOWz/TmdSV6SKJza1Y9203usZWnnySO9K/NzF46T0Xvuq12BO9HfTCE4P/fyN+oMHnTOh86f+bBWy+p9H1nyyzs9ksT4YByiIGxbzu7vKgjrdQcEbBj02Mr691mvAwBAlIRNx3C7VXxVaf3YCgBEobNrxfpxOg5C+xg5jgdJFDZ8trKPv1PvNd59DHursd66u9dez7XN9wjWGyeh9/qWtrgOZHF99ebOb0RBCFa2EDr3z/ZlsZ97QO9z9/1afwG9Dd+F6Dzpvaft1iY7SqLoX2eO47UnDgHdF6Eg+OUTBAHxqApB2Ni+71Q0e135/nDLfvC6Ru55riKLQR+hQzqk5M2LYlMb4ATPa9qsu40uCMKG9vCG30HYcO5HQjJG+2NwPQ/VhhkkGgOALK//jf026/rj7j6LIokb2rPdrxOErjb3pnL6PzsqW8UuOjb3H/ZfEgE97WdBONY+xVmnSBvvK0exuvN5Jfec20rXNSeKAiaHkyhVjXY/V4Aqb2x/d14ui0KwAh7QPqcBiO1ruvOufjsBGz6j1+Z41MYyPku8SRQ3xhgEQQjiEP5jv3/TfRyAzcfpKPR+b8bViM6vDdd3O455bSID23E3tJM6fa5O+6CTvNFLkTr118Zxlc6ETqkn/rnTmI3Sif0InbKKm8vc1ls/7xYv3Oo1yj7HMzf3I7ZupwKb46JKb9vxjDe2dorlXkS952inTd57Xm4aj5AFdK3TuKld2U3oNGq8zmsP1g/ofd5WMXK7XXbXc+ABECQA7nqbarsxi5AqtcvqP1YUEQMZP1FsMBPFSqEB0zaD5/fGZ7Y6j3rjr2yjXEyiKODa5OZ7lSSK7ba/v4O7IK7fbwTB/5myYaypax6AIKD7chAhBOMM3WODiixCFMRgHKwzBidi871yt13kd+r/nDe9dc1ux4ZoK197cxYA8NylHBfho1Ph0mgKf/6PvIS/9s/fwq99/SEmBhP+Yjq0L5vazmewfSdLItLxEJJRv20QC5+93R+i4Z56VQCiZ+9rbBKPbr/bKJ1+5z6JIx6P4+/+3b+Lv/k3/yYajQZefvllzMzMQJYP9tUVRcHMzMwhl/L0mJy28HixCtvxMJyLIB3T8O/eeIy1Ugs528FQe4WUkb5oO5gowLT9lSBEUcDMSBLPTWfwnfdXsFJqIhlT8ekXhlBv+Rn/oVjD30bXcmHZDmIRFTMjSXz5Rzbf3IfHDDxdriGTM7BUaEKSRFybSOG56eyRfPdp08HDBb9s2WQI4wPr2f+RVAF3n5ahKRJev9mPaFjBo8UaLNvFUDaCwezRrHwxbTp4uFiFYdrIJkLBqugnITPQxPc+WEHLsBGPqBjKRZFJaJg4wTKdhLOSxDU2EIdh+itA5VJhpOIbWxyJqIrBbASrpRY0RcLEYAIhTcZIv3/eu66HdFxDKq6hPxNBNhXGWqmFtXITmUQIz1/KwZ3K4cliHfNr/gp1P/7JS0glVCyuNbCwVkc6HsYr1wbwtbfn8GSxinRcw8vXBjA1kkQ2FfZX85MEKJKIwWwU6YSGvlQYnueh1jTx6rV+vHtvDaoi4aWrfRjKxZCMWXgwX4ZpuRjIRBBrryCkyiI+/twgfnBnDRCB124MHPsxPyzXp7KbjvVOxgbj/o4mpoNsMsSO/An5+I1BzK3UsJivI5MI43OvjAa/kyQRU8NJPF32d4vZSzb9azcG8cY7C5AkAbIiwjQdRMMqvvDa2KGUt7PV7/uPCtBkCR/vWsVjt4k3M6NJLOXrWMw32vdkD5Ik4qXL/buuujLaH0NTt4Ot1UXR31lnajiJWFjB1Ql/t46IpuDjN7deWeTyeBKLBX/79OnRJEZyUUiSgInBxLFPGro0ksLjxQqmR1LQFAmG5V+HN3e5bru9dmMQX//BApqGhenh5IbVhzKJEKppE4WKjrDmT87byV7PtUhIwUh/DEv5BlRFxOQpXi3uPJsYSmBxrY5Hi4CmWhjrT8DzPPzL376DatOCIACff3UUN6ezMC0H73y0CkEUcGUshenRFGbGM3j3o1VIoojnZ3JIRP322V4lYxoGshGslVrQVAnj+9hhQG23HeZXa5BEAdMjZ2uVEKK96NyLm4aFmdHUppVNj5Moinj9uSG8eWcF18bTSEQVPJgvo6U7CKkiHNeFqsgYykXx6o0BJKIaxocS8AB84515CIKAl67k8Nw+7k+HZTgXQ7Nlo6FbSMU05PaxY9zHnxvEG+8uwjBtXJvIIJeK4EeeG8S331uE5Xi4OZ31V9amPcskQqikTBSrftviNK96eBG9eKUPpaqBcl3HSF8MVyfTWMo3IIkCvvDaGH5wdxXVponxwSSmRxJYLrSgyCJeuzmIxXwDhung2mQGmUQoaFO/eqMfhYq/yuYnXxiGpkp4MF9GIqLiK5+awkdPSjBsBz/zuWl89fvzmFutIxlT8V/8vhk8nK/CcT18+qURKJKEasNELKxieiSJudU64AGTw4kjnUy0VeyiY2o4iYW1OuZWaohHVLxyff9xAFEUcGk0hSeLVUAApto7E9DeTAwlsLBWx9PlKmJhBa9cO7uxmOM2OhDHzJjfn4yEFLzac/5en8hgpdDEWrmJdDyEl64NoFo3MRe0v1MAgB//zCX8+zceoj8TQblmwHVdREMqPv3yMIoVA6blYGwggU+9OOrvxNcwEQsrW/YbxgfjeDhfgWE5GMhEMNIXg+N4KNcNREMKhp+hLZSMaXj5iv8dqk0TU8MJfLxdd7meh4nBBCRJxKvXB/D1dxbQ1C1MDScxegy7oIU0GWMDcSys1aG0+9REdD5NjyTxcL4Mx/Uw0hcLJlFvTorw4xxPl2p++2B467hZMhbGp14cxndvL8NxXQxkoohHVfyBW0P4wb3V9u7BWZSqOlRZwh/4kQn0Z6JbxvlyyTBevzWEt++sQBQFPHcpi0hI3nI3yLGee8jH9jAW8vLVflQbJmpNE2P9cUwO7a9+zSZDKNcNlGsGIiEZI33r95FUPIRbMzl8+NiPM3/mc5fw4aMiSjUdfakIXrrah9nlWlDfn/Wkz51iuRdRZ7x4pdjc0F7vS4VRbRio1P22x+RwAo8XqmjoFpIxFVfGUvjGDxdQb1mYGEzsuJuJLImYGkpidsWPeb98tR+pmIa7T4vQVHnbcYReI33+2ETLsJFJhDbtvNWpI167OYj3H+bhwsPVsTQ8D7g3V0ZIlfCVT09v+d6fe3kED+bKeLpcQyys4NMvjQCe3wZKxTVcm0jjG+8uoNo0MdIXw/XJNL793nIQc9pqN7ve783468XWW3f2ZyKoNU0M99mIhGTAaycPCP71Nz2ShCwJfh+gaeLV6wMwTBsPFiqIRxQIgr+7S71pQhJFjA7E/fM1puLKRAbjg3H0pyMwTAc3JrN4vFRBNh7Gqzf6obbHAbvHonY7P3fr/5wn6biGvnQ4uN8f187OdH44roevtpM4vvTxiRMuDdG6T70wgidfrOJfffUe/u6/fheRkIxPPD980sU6U7rbyNGQguEz2JcYyERwbTKN+3NlhDUZr908e/f0/kwUL13pw7v38wCAj93sRzR6tnbhAIDPvjiEr7+7BACIhiX8ws++fMIlomcheF4nP/piME0Tn/zkJ/Fv/s2/wcTE/ho8t2/fBgDcunXrKIpGRGfA22+/DVVVWQ8QXWCsB4gIYF1ARKwHiIj1ABH5WBcQEesBImI9QEQA6wIierZ64O27K/jL/+i7iIUV/LO/9GWoJ7C7NtF2XNfD3/lX7+Brb81BlgT8j3/iNbx2Y28JtRcN2wNEBOw93+BsL3exR6urq8G///7f//t4/fXX953AQURERERERERERERERERERERERER0mH7tPz8EAHz+1TEmcNCpI4oC/s8/9xI+8+IIbMfD//JPv4/fe3vupItFRHTmySddgOPwd/7O38Hbb78Nx3Hw4osv4q/8lb9y0kUiIiIiIiIiIiIiIiIiIiIiIiIiogvs/lwJ795fgygK+MnPXDrp4hBtSRIF/Pk/+jIA4I13F/D/+JUfYLnQxM994QpEUTjh0hERnU0XIomDSRu0F7bt4vbDPBotC5NDCYwOxE+6SERnQve1c2k0iaFc7KSLRER0pB4tVDC/WkM2GcbN6exJF4eI6MLobndOjSQx0sd253lzb7aE5UIDA+kork6mT7o4RERn3oePC8iXWxjui2JmlPUqHb9q08T7D/IQALxwJYdISD3pIhER0Tnnui7ee5BHvWlhYiiBMY73nnmVuoHbD/OQJRHPz/QhEroQU1yIzryVYhP3Z0sIaRKev9wPVRZPukhEp9qv/PZHAIDPvjSCgUzkhEtDtD1ZEvHf/7FXkEuF8e/+8wP8ym/fxYePCvjzf/RlZBKhky4e0a6645W3ZnKIRRivpJPFHi5R29t3V3B/rgwAeLpcxY99YgppNi6IdvXmh8t4uFAB4F87f/CTU0jFee0Q0fk0v1LDt99bBADMLtfgeh5uXcqdcKmIiC6Gt+6u4AH7bOfWg/kSvv/BMgD/HitJwMwYJxwTER3Uh48L+MHdVQB+vaopMicx0rFyXRe/8/1ZNFsWAGC13OJqokREdOTevruKj56WAABPlqv4A69PIJfiRMizyrZd/M73n6JlOACAYlXHj31i6oRLRUS7qTdNfO2tWTiOBwDQDQefenHkhEtFdHr94O4q3rqzAkkU8LNfuHLSxSHalSgK+JM/fhOj/TH88q/dxrv31/Bn//rX8Ee/dBU/9skpyBIT9+j0YrySThvWmERtxaoR/NvzgEKldYKlITo7ilU9+LfnAaWascOziYjOtnxP+6DI9gIR0bHpbXcWqqyDz5NCWd/wOF/Rt3kmERHtRbGnHs2Xed+k46WbbjAgCgC1hgnbdk+wREREdBF0xw7gAYUyx6zOsqZpBwkcAFCqMlZAdBaUakaQwAEABcb5iLalmzb+4a+9BwD4yqemMdrPBTjo7Pjixyfwt/7bz2JmNIlGy8I/+vX38d/8td/Fb37zEVqGfdLFI9pEN23GK+nUYRIHUdtQbn0VFlkW0Z+NnmBpiM6Oob5Y8G9VltCXCp9gaYiIjtZIXwyC0PW4P7b9k4mI6FANdfXRZFnEYIZ9tvNkpC8GdO6xQvsxEREd2HBXPSoIGx8THYdISEY6rgWP+9JhyDKHpIiI6GgN59ZjBZIkYDDHXTjOslhIRjyqBo8HGAsiOhOyyTBUVQoeD/Xx2iXazj/+9x9gYa2BTCKEP/ylqyddHKJ9GxuI43/9xc/iz/2hF5CMqVguNPHLv3ob/9Vf/i38jf/3W/je+0tM6KBTI6RujFfmUoxX0smTT7oAdL4tFxpYKTahKRKmR5JQFb+jZloOHi1WYJgO+tMRDOVOvtP24pV+JKIaqg0Dk0MJJCLq7i8iOgKO6+HJYgX1loVkTMPEYBxC94zhI7RabGKp0IAqS5gaSSCk7n6bePlqPxJRBfWmhcmhBGK8dojoBFXqBmZXagCAyaEE4odUJzV1C48Xq3BcF69c70dLd5BLhTE2wNVQ6OAW1+pYK7cQUv22siJLu7+oi+d5eLpcQ6VuIBZWMDmchCQeT5uB6CS8dLUf8QvS7rRsB48WKtBNB32p8K4Tb1dLTSzlG1BkEdPDSYS0sxfuGR2I4/e/OoblQhP9mQiTOIgOgW7aeLxQhWk7GMpG0Z/hBLZe3f2HicEEEtHzc2/x25ci8uUWhvtiGODf/0xxHBePF6to6BZScQ0Tg4kj+RzX9fB0uYpqw0QiqmJiMAHxEPsUX3xtHB/NlgBBwNWJzKG9LxHRSas2TDxdrgI4XW2IUk3H/EodggBMDicRCysnXaRjd2umD7GIikrdwMRgAsmYtvuL6NQSRRFffn0C92dLEEURV8fTx/r5vddUU7ewlG+Pow4nzmT8heg4REIyXrnajx/eX0M0rOKFy30Hep+TnDdBdBz+47cf47e+8wSCAPx3f+TlC9l2o/NBEgV8+fVJfPalUfzuW3P49288xGK+gTfeWcAb7yxAEgVcGU/j+ZkcroynMTOWQiYROuli0wV1HuKV5ZqOb99egm46uD6ZxvXJ7EkXiZ4Be5V0ZBotC7PL/iCoYTp4slTFlXZgZXa5hmrdBADMrdQQiyiHNsnyWUyPJE+6CERYLjSCLUVXi01ENPlYJlo0dQtPlvxBB8N08GSximuTe2uszIweb9CUiGgrruvh/lwZrutv0Xx/toyXr/Ufyns/nK8EK0QYpoMXr/Tte8I9Ubdqw8T8ah2Af049Xa5hZjS1r/dYK7WwWmwG7xHSZE56pnPvorQ7/QQtv888v1pHNKxsO/FEN2y/He/5dcHjxSquT53NoONQLoahHOsxosPyZKmKWtMM/h2LKIiEOBjc4XkeHsyX4Tjt/sNcCS9f7T9XE0LGBuJMPD+jFvMNFKt+fHCl0EQ0pCB3BLvfrpaaWCu1AABrZgthTcbgIe5Qraoybs0cbMIWEdFp5Xke7s+VTl0bwnFcPJyvBLHRB3MlvHjlcGKjZ83UMMd7z5PQCbUneq+pDx7lIbS3ED3r8Reio9bULRQqOkb7/f7o48UKrh1gkuRJzZsgOg5fe2sW/89/9x4A4I986RpeuMK+M519IU3GH/zkFH7sE5O4N1vCG+8u4LvvL2O12MSdJ0XceVIMnptJaJgeSWG0P4bhvhhG+2IY7osiHQ8d6gIjRL3OQ7zy27eXUGy3kd6+u4qhbBSpOBOjziomcdCRsWx328c7/Y7oott0fTjHc33Y7QGH7cpBRHTaeZ4XDKgAgO26cF3vUDr53XWi5/l1psKWND0Dy3Y2PLYPcN/tbSPw3k10ftg913fv426W4wJe92Nn2+cS0cXC+NvOXNcLJl8CgON48DzgHOVw0Bl2XNcv6wkiov1zPWxqQ7geIJ1wG8JxN8ZGWacTPZvea8o0XWjq+sJOjL8Qbe+w+hknNW+C6ChZtotf+e27+Ddfuw8A+PLrE/jDX7xywqUiOlxCe4eDqxMZ/OmfvIXlQgPvPcjjg0cFPJwvY26lhmLVQLG6grfurGx4rSQKSCdCyCZCyCRDyCRCyCZDyKXC/n/JMHKpEBfcpAtNN7v6Il7PYzpzOPWMjkwiqiIaVtBoWYAADGbXM+IHsxHUWyY8z99KkVvZEq3rT4dRqLTgOB4UWTySVfa2Egv7O+LUmiYgAEO5w1t1j4joOEiSiP5MJNiZYDATObRVGob7osEOY6m4hjC3SadnlIppCIdktHQbggAMZPe/elQuFcZqsQnLdiFJAvrTx9NmIKKjN5iJotbw+8zhkIzUDn3maEhBIqqi2jDbfW+244nIN5SN4tFiBfBwanbBPU16+w8D2cPrPxA9q/5MBMWqDtf1oCoissmjWUmtLxXGWqkF23EhSyL6jikOSUR0lkmigIFMBCudNkQmAukUtCFURUI2GQpWLOcYD9Gz6b2mJkcSaDStIP4ylOVOokTbiUdUxCIK6k1/rtDwAe9JJzVvgugoeJ6Hd+6t4Z/+5gd4vFgFAPz052bwJ/7gjRPf0Y3oqA1moxjMRvGlj08A8HeYf7xYxZOlChbWGlhYq2NhrY6VYhOO6yFfbiFfbu34ntlkCJNDCUwOJTA1nMS1yQz602FeT3QhXJ9M4+27q4DnzxnhPJGzjbPP6MiIooDrkxk0dAuKLCKkrp9u6UQIz1/ug2k5iIYUDpASdYmEFDw/0wfdtBHWZMiSeCyfK4oCrk6k/WtWEhHiBGUiOoMmhxLoS4UhCH59elgGs1EkYxocx0U0fHjvSxeXJIm4MZVFU7egKhI0Zf+rhWiKhFszObQMGyFV4oojROdIKq4FfeZISNlxQpAoCrgyznY8EW2WS4URCyuwHJfxt210+g8A2M6nUyUWVvDC5Rx00znS+GBIk3FrJgfdtBFSZSjy8cQhiYjOuomhRDCR9DS1IS6NpjCQtSAecmyU6KLqvaZc12P8hWgPRFHAtYnMM18vJzVvgugo/Iv/eAf/+nf93TfiEQW/8F++iE++MHzCpSI6GSFNxvWpDK5PZTb83HZclGsGilUdhYre/n8LhYoeJHbkyy2YtotCxX/O23dXg9fnkiHcmMrixnQWN6YyGB9MnIqEe6LDdn0yi6FsFLrpoD8dhiiyjXSWsWdJR0oUhW1X+dMOOFmN6CJQZBGKfPwrZO50zRIRnRVHNXDK3TfosEmHcN+VJZH3bqJzaj99ZrbjiWg7IU3G0azff36cpomXRN0U+XgStU8qDklEdNad1jZE7JSWi+is6r6mGH8h2rvDul7YX6HzoqXbUGQRP/qJSfzs77+C5A67bxNdVLLk77q0085Lnueh1rSwsFrHk6UKHi9V8XC+jIfzFeQrOt54dwFvvLsAAIiEZFyb8JNFbkxlcHkszTkfdG6k4hz5OS9YKxERERERERERERERERERERERERERHbI//VO38Kd/6hZ3yiV6RoIgIBFVkejZyUM3bHw0W8KHj4v48FEBd58W0dRt/OCjVfzgo/XdOvrSYYz1xzHSH0MuGUIqriEVCyGsyVAUEaosBouqOK4L1/XgevD/73pwPQ+e58HzAM8D0gkNg9nosR8HIjo/mMRBtAXdsNHQLUTDCkIqLxM6f8o1A57nIRXXIAjsJBLR2VWpG3Bd1md0Nlm2i2rDQEiVT+3qjURE+2U7Lip1A5oqcwVYIjpSlu2g2jAR1mREQqxviM4a1/VQqRsQRYErkBIRHYNOHDUZ0zh5kM4Ez/NQrhsAgFSM8X+ik1KuGfDg8TokekZsfxEdrZAm44XLfXjhch8AwHFcPF6q4s7jIu48KeLO4wLyFR1rpRbWSq0NiR3P6u/9hc9jYjBxaO9HR6vTzxAgIBVnTJJOHmenE/WoN03cfVqC63oQRQE3pjIcCKZz5fFiBWulFgAgFddwZTx9wiUiIjqY7vosGVNxdSKzyyuITg/LdvHBozxMywUATI8kd9walojoLLAdFx88LMCwHADA1HASfWnWbUR0+CzbwfsPC7BsFxCAmdEUMgluH050ltybK6FaNwEA/ZkIJoc42E1EdFSeLFWxWmwCABIxFdcYR6Uz4OF8BcWqDgDIJEOYGU2dbIGILiDOKyAiorNKkkTMjKYwM5rCj396GgBQbZiYW6lhfrWGhbUGSjUd5aqBct2AYTowbQem5cJ2/DEuURAgiu3/2v8WOj8T/F1B+lJhZBmXPlMezJdRqvrJ4tlkCJfYz6ATxiQOoh6Fig7X9QD4q4EVKjqTOOjc8DwPa+VW8LhcM2DZTrAVHBHRWdJdn1XqJkzLgaqwPqOzodowggQOAMiXW0ziIKIzr9owgwQOAFgrN5nEQURHolwz/QQOAPD8thSTOIjODsNyggQOAFgrNZnEQUR0hNZKzeDf1brfb9MYR6VTzHHcIIEDAIoVHc6wB4mrmBMdG84rICKi8yYRVXFzOoub09mTLgqdENtxgwQOwJ8nPDXscbckOlHiSReA6LTR1I2dzpDKXCc6PwRB2BCYlyURkshbARGdTd31mSQJkCTWZ3R29A6U97ZBiYjOot66jf1pIjoqvW0nTkIkOltkSYQkrQ+Oss1ARHS0uutZSRIgM45Kp5woCpDl9fNUkUUmcBAdM0EQoMmcV0BERETnh9TTz1AVkQkcdOIYGSfqMZCJwLJd1JsWEjF1y1VDXdfDcqEBy3HRlwpzp45D4DgulgoNOK6HwWyUg+/74HkelgtNmJaDXCqMaHjn8/HKeBpzKzW4nofR/vipaow0dQtr5RYUScRgNnqqykZEp8+G+qwvdqSDOI7jYrnYhO24GMhELswEk0rdQLlmIKzJ6M9ETro450osomJqOIl8uYWQJmE4F8XcSg2e57eFVEW6sOcdEe2uu/90muqHaFjB9EgSa6UWNFXC+GB8T68rVFpBHzwd50r6dHHlyy00WhaSMQ0hTcJKsQlJFDCUjTJhuUciqmJyKIFCRUdIkzA6sLf6hui0qLcsPFmswDAdjA3EL1x/SxIFXB1PY36tDlEQMM5rmIjoSF0eS2G2J47a1C2slVpQFQkDmciRjMfYjoulfGNDvIsOz3keUxMEAdcm/Pi/ZbtQZBFzKzUM5aJMQiI6Yt1xx4nhBFaLzUOdV1BrmihWdIQ0Gf3pMATh/NRdREREOynVdFTrJqJhBbkUd7E/CYLgxyTnVmsQAIyd0Zgk5y6fL6djlJ/oFBEEYdcK+vFiBYWKv4Vroazj1kwOisyA0bO4P19GtW4CAEpVHc/P9J2rYONRml2uYaXob4W9Vm7h1kxuxySYsCbjynj6uIq3Z5bt4s6TIhzHAwDopoPpkeQJl4qITrPjrM8eLlRQrvnbKhYrOp6fyZ37iXT1loWPZkuAXy3DbQ+20uHpS4eDhOE7j4uoNdttoZqBW5dyF/K8I6K9eTBfRqWr/3Rrpu/UrEiZS4X3FXzOl1t4tFABAKwUm7g6kUYyph1V8YhOrdVSE08WqwCApXwDrucFk5MaLQtXJzInWbxTqT8TuXAT3+l80E0bP/hoBbPLNcADlgsNvHpjEAMX7HyORVRcY91GRHQsQj1xVNNy8OHjIlzXD/wZloPJocShf+692RLqTQvAeryLY3+Hw7Jd3H1Sgu24AICWYePSaOpkC3XIIiEFl8fSuP0wj2bdRKVuot60cH2K7Qeio3SU8zaauoW7T4rw2uNOjuNiuC92KO9NRER0mlXqBu7PloPHruehP32xYoGnRTSsnPmYJOcuny/8yxEdQCfgCPiryOimfYKlOR+6j6lpuTAt5wRLc7Z0JnwCfqZlU7d2ePbp1TLsIIED2Pi9iIhOWnedZNkujAtwn2q0rCCBA2C9fNRqrfXja5gOLMe9kOcdEe1NvXV++k+995fu70Z0kfTGmip1Y/13vC6IzpWmbqPZsoP+lm467G8REdGxahl2kMABHF3cr7sda5hOkHBAz0437Q3H87z2GSzHhWGuxzzqLbaZiI7aUc7baLTsIIED4LgTERFdHI2e9nrvY6L94Nzl84VJHEQHkIipwb8VWURY46Y2zyoRXT+mmipxS+V96F6lVpIERM/oFlmRkAy5Kyu0+5wgIjppyeh6XaspEjT1/N/74xEF3btYJ6JcFf0oJbvue2FNhiqLF/K8I6K96e0/7bQT32m3od0vAPEI+wF0MSW7Y02KiHQiFDxm/5jofImGFcQiCtDub4VD8oa2PxER0VGLhORg1zfg6NqbiZ54F1cGPTxh7WKMqak94/Dn9XsSnSZHOW8jFlE27OrBcSciIroo4lE1iAUCbNfSs+meuyxz7vKZx78e0QFMDiUQCSmwbAe5VHhDoJMOZmY0hZVis71dWJjbKe/DaH8MmirBMP3z8awmwMiSiBtTGeTLLSiyhP50+KSLREQUmB5JIhZRYDsu+tMRSBfgPhUJKbg+mUGpZiASkpFNsl4+SjNjaawGbaEIBEG4kOcdEe3NpZEUViNNOK6HvtTZ7j9lk375600LiajKwDVdWNlkGKIgoN6ykIxpCKkS1sotSKLAbdWJzhlNkfDy1X7kUmEYpoOxgTgyXYlbRERER02RJX88ptKCKkvoO6LxmMtbxLvocFyUMTVBEHBtMoPVUhOiIKA/w74R0VGbGU1hteTHHQ973kZYk3F9MoNiVUdYk5FLnc+6i4iIqFc8ouLaRAaVuoFYWNmwiBPRfnHu8vnCJA6iAxAEAQMMEh0qURQwlIuedDHOJEE4PxM6QqqM0f74SReDiGgTURQwmL1496lYREWMK6IfC2mLttBFPe+IaHfnrX5Ix0NIxxmwJkonQhsGb0b6YidYGiI6SpGQgmsTmZMuBhERXWAh7ejHY7aKd9HhuShjaoossm9EdIyOOu4YDSuIhpUje38iIqLTiguZ0WHh3OXzhSk4REREREREREREREREREREREREREREREREx4BJHERERERERERERERERERERERERERERERERMdA8DzPO+lCnBVvv/32SReBiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIhOqVdeeWXH38vHVI5zRVXVfb/G8zxYlgVFUSAIwhGU6mTwe5095/W7Hdf3Mk0TwMHqgfPsvJ5XJ4nH9HAd5vHcqR64iH+3i/idgYv5vS/idwa2/95sE+zdRT13jgqP5+E76DHt1AMA+Pd4RjyvDw+P5eHY63Hsbg/w2G/GY7I1HpfNzvoxYZvgaJ318+M047E9PFvFCHh8jweP8/Hhsd7ZRYgV8hw4efwbnLzd/gYnWRfw/NgbHqfd8RjtDccPd8dzae94rPbntB+v814PnPbjf1Hw73B67NYm2A2TOPahU7HeunVr369tNpu4c+cOZmZmEIlEDrtoJ4bf6+w5r9/tuL7X22+/DVVVD1QPnGfn9bw6STymh+swj+dO9cBF/LtdxO8MXMzvfRG/M7D992abYO8u6rlzVHg8D99Bj+nbb78NRVFgWRb/Hs+I5/Xh4bE8HHs9jt3tAR77zXhMtsbjstlZPyZsExyts35+nGY8todnqxgBj+/x4HE+PjzWO7sIsUKeAyePf4OTt9vf4CTrAp4fe8PjtDseo73h+OHueC7tHY/V/pz243Xe64HTfvwvCv4dTo/t/ha3b9/e0+svRBLHN77xDfytv/W34LoubNvGz//8z+Onf/qnT7pYRERERERERERERERERERERERERERERER0gZz7JA7P8/BLv/RL+Gf/7J/h2rVrmJ+fx4/+6I/ii1/8ImKx2LGUwbQcFKs6dMvd9bm6YaOhW1AVEablQlNlxMLKMZRye+Wajny5hVwqjFQ8BMf1UK7pkCURirj1awzLQb1pQhQEFCotRMMKhnL7O96e56FcMwAAqbi247Y/ruuh1C5TMqZt+F1Tt9AybMQiKjRF2tNn64aNatOBbjroTlTbS5mauo3FtRpiERWD2eiePs92XFTqBlRFQjxyPFtpVeomdFtEKqZBFLml0mnmOC7KdWPL87tzrTmuBwGAB/88lSURYU2Gpoh4/1EBtuNirD+GSFhDLKygVNPheUAqpkE37eAaETwPsys1hEMKRvp2v2Y7nw/X3vL3210z3Z+/1fnXqQujIQUh7XTdqmpNE6blIBnTIEvbVIJEPVzXQ7luQBCAdDwEABvup73XdjfLdlFtGNAUCbFjukfsxrQc1Jomwge4Pjv35UhIQVO3Nnz/7vuh5wGWvfdr7VnqjXrThGE5QZl2ux8b7badsUXbznVdPF2uQRCAXDIMw3I2tEEaLQu6aSMeUaHusV1yUPttA53Gc+08qrcsGKaNRFSFIvt/l87f6v2HebiehysTadiWC8t20ZeOIBZWUK4bcFwPkiggGlKgKBLKNR1N3YZh2sgmw0jGNJTrBkRBQCq+fb3S6yDt5YM67Gug0xYJazIioZPtNxE9i1rDwEqxiVQ8hFwqDMCvL1q6hXrLguO6iEdUmJaDhZUaVistJGMacokwZFmApspQJAmiCCRjGq8HolNsp3br/GoNy4UGJoeTiGkKvvPBIsKKjNefH95wD5VEYds4wU4s20G1Ye4p3vh0qQrH9TA+EIcsr7fHd4qNbdXvOU6VugHbcZGKhyAdQqyr833227Y6qE4/K6TKiJ5wPJiOTqnawtPlGuJRFfGIgg8eFqDIIiaHUwhrElIxDZIkQjdtNFoWIiEFYU2Gbbt4slyBIkmYGEpseM+d4guduKIiS0hE/X7eYV8r+4njA34bJ19uIaRK6EuFITG+RrTBs/bR93O/73xevqJDkQTkUuEgVnGcSjUdhXILuVRkwz23cyxEQYDrefAACMC28cKgfmvXpfuxU7zioLEH13Uxu1KD43hIRBWoiryhnj7ssYZK3YBpOwAEyJJwIu0xOln7vf53s9tY3lFzHAfvPyoAAJ6bzkKStq6fOt+7U1cIAuB5QL1hYq3SQi4ZQjyqHWrsUzdtzK/UDjQHYic7HXPHcVGs6mgazp7e6zhjvqfps+lwlGsGXM9DKqZhdqUK18WG+IBpOvjgsT8HYXokiVhEhW27wb20VDNQaxgY7ovDcd1d73fffW8RpuPiteuDCIX8WMle+hk7zaM4bJ22QvfYDtFFt1N7dr/3reNSb5pYLjSQjGnoS++8cn1vPeS4Hio9MZadzK3UYFg2xgeTkNvx3OOIM/beh6sNE5btBO2Lrb5TZ35EJx61Xd9nPzGlo5z3tZRvYKFg4pJpgxsQENFZd7pmxh6hWq0GAKjX60ilUlDV45mYpps2PnxURKPZwtyqgem6ue32NfWWhbtPijAtB3MrNQzloghpMi6NJJFNho+lvL3WSk38zpuzcBwPkiTgc6+MoVjR0WhZAIBUdHMnq2XY+PBxAS3Dwtt3VxELKdBUGS9d7cfN6eyeP/vBfBmlqt9wyCRCmBlLbfk8z/Nw92kR9aZfpsFsBOOD/kBWpW7go9kS4AGSJODmVHbXhkG9aeLDJyUsFU2oT4p46VooaJg8nK+gWNUBAOmEhstj6Q2vbeo2/uO3H6HVboS+cr0f1yd3/s6O4+LDxwXo7deMD8b3nPxxUCtlC02hAk3TkYiquDqR3nVwjU6G63q486SIpu4nSYz0x4Lkis61li/ryJebQVASAOJRP4no9oM8VotNVBoGcskwPvPSKGRJhO34E48lSYDrevA8/7VzK1Xopn8u3prJ4YXLfduWTTdsfPC4AMfxYJoGXH1z52ura+bxYgVrpRYAIBFTcW0is+E1nbrQdT2IooDrk5lTM3lhpdjE06UqAEBTJdyczjKRg/bk/lwJlboJAOhLhzExmMDdJ8XgfjqUi2JsIL7pdZbt4oNHeZjtZIGp4ST60ifTJujotG1sxwUEYDS39yBDqarj/nwZruthca2OgUwEiixhuC+KoWwUHzwqwDAdlGrteiMeQkiTcHMqu+PAa6Nl4U673hAE4PpkZs9JCKulJp4sVuG4LpbyDQxlo5AkERNDCQxkNrfZOnVfs6ljftXAdGNj2+5rb81hudCEYToQROC56RwkScCNqSyauoWHCxXAA2RZxHPT2SNL5NhvG+g0nmvnUaHSwsP5CgBAkUU8dymLesvC/bkyfvu7T7CUbwCeh7CmYCAbQTKqIR5VMTmcgG25mFutI5PQkEuFIQoCSjUd79xbQzTkTwIYH4hDU/2/c38mgsmeyV1bKdcM3JvbX3v5oMo1A/OFanAN3JzOPtMgXndbRBCAK+PpIx+oIToKhUoLX3tzDoblQBIF/Mjzw4iFFTxaqODeXAnL+Ybfhndd1BsmZldq0E0HggAkoipyyTBCqoRQSMZQJoqJ4QRuTGaRTnDCDtFp09vfvTaZCSZX3X1cwG988xFcDxDFOeiGg1o71vXDB2t46doA4AGiJEASBFi2327rjhPsxLIdvP+wELzu0uj28cZvv7eIRwt+m+VeKowvfXwcoui3xx8uVFCsbB0buzdXQrWr3zOQOr6+/NxKzW9LAYiGm7g+mXmmiWae5+HebAnVhv999tq2OijDcvDBowJs2+9nzYymkGE9fu7MLlfxW999ilJVh+O4WCk1YNoebNvFQCaCz700ioFsFFPDSdx9ut7HvTyWwnduL6NQ8eNpS4UGXn9uCIAfO9wuvuC4Hj58UkSrHVcc7Y/Bcb1DvVaAjfVCKq7hynh62+cWKi18/4NlFCp+0snVyTSen+k7lGQSovOgUjdwb7YE74B99P3c7zuf99adFSzlGxBFAZdGknj5Wv+xTkxcXKvj6+/Mw3E8KLKIz70yhoFMBNWGiY+eFlFvWVjKN5CIqKg2TYwNxJGMqZvihUuFBgpVf4wiHJJxcyq75/qtWNXxYL68ZczuWWIP33h3AU+Xa8iXW4iFFbx4pR/DfVGM9scPfaxhdrmK5UIT86s1OK6HsYE4BjIRTA0nD/yedLb0Xv/TI8lgkYiD2G0s7zj8q9+5j7kVf47Hnccl/OEvXd30nM73bugW5pZrSMZUlOsmRFHAD++t+Qtn2i4++fwQhnIx3JjKHmhxqm66aeM/fPsJmu32137nQGyn+5gnYyqudh1zx/Xw4eMiytUG5tZMjBSamN5hxuKz3k+exUl+Nh2Op0tVrBSbAICHC2XYtgtBEPAgE8aXPj4JAPiXX72LuZUaak0LQ9koXrzaB1kSocoSVoqNoL1vOwu4NJKGpkrb3u/+yW+8jztPSgCANz9cxi/+3IuQZRn358rBRONMMoSZ0dSG17k9/Z29xkcOolBpHdv4HtFZsVxoYHbZv0/3jufv9751XOpNE//hO09gmg4gAJ+4NYzpke3by93znRIxFZblomX4dc7YQBxDue3n9r354TI+eurXbXceFzE9kkSj5b+2Lx0+snZ67304kwgF7YuwJkNVJFTqft2ajKkwLCeYr9ifCSNf1oN4VG/fZz/x16Oc9/XuvVW8c3cZ+XwLpriAn/hcDKrMeVtEdHad+96SIAj423/7b+PP/bk/h0gkgkqlgr/39/7egZM4PM9Ds9nc8/NXik00mi0YpgF4wOJaBcnY1p+9uFpHq6Wj2jTRbBkoloFsMoT55TLCineg8j6ru49Xoev+YKVlAbfvLW8IbCw1LcREoNVqrf+s0ECzqWO13EKjYcJzXIiCh4+erGFqcG/BIsdxsbxWXX/PNQODaWXLm3/LsFEo1YPH8ysmcgm/jPPLVRi6Efxuca2MwS0mZHabX6lDN/zXtHQDCytljPRF4boeltYqwfOW1wwMppQNQeInS1VU63rw+N7TPCb6d/7O1YaJSnX9nJpftpEIH92gVavVQqVhQ43633HN8I/tWe9kds7B7nPxPGjqVpDAAQD5UisIPvgDvh6qDQOW7aHWNKHIIiRJgAcgHVPxZLECRZbgusBqqQXDcjC/VsNonz+Yu7BaRy4VhiyJKFRaWCu3gtXnnyxWd0ziKNb8zwf8BJBqa2MSh+N6QYfGL68Bx3GRL6//jap1PzO/+/wrVFpwXf993fZ7nJYkju6yG6aDetM6ltU46WwzLSdI4ACAtXILA5lIMMGi87OtkjiqDSOYVA/45+BJT6wv14wgEQweUKwYO7+gS77SAjx/glJTt9Fo2UjFpfZApgqjnURWqZvB6r264aDesnYcHC1W9aDe8DygUNX3nMTRua5bho2mbqNp+KsE5dt/p02f1VP3FasGBttVZVO3sVzw7+lNw0LTsOF6LuCIKNV0P+G03aSzbX91oP5dVvg4qHy5FXyW43go1QwM7TBQchrPtfNores+YtkuKnXTH4TwgOV8A7bjwXM9NPQmEhEViiRClgU8XawhHlXgeR6qDROxsIJq00K1YcB1PTR1f3ebhwsV3JjyBwzz5daeJhp2rkvAP1fKdQODRzSolq/ogOe3c23bRaVmoH+XtvlOeq/HQkVnEgedSbPLNRiWfw90XA+zS1X0ZyKwHRfFsg7bcdE0bOiGjVJVh244cFwPnueh3rSgyCJsR4XjAnrMQb1hIV9pMYmD6BQq9vZ3K60gieP2owLav0K1bmKl1EQq5l/Hd5+W8NLVAQBAo2nBMJ2gL9odJ9hJpW4GE7oAv12y3aTOx4vr8a98uYW6biMRUdtl3tzPlyQRpuUECRyd1x1nEkdnMBJYXx3zWXYlMiwnSOAA9t62OqhKzfATOADA8z+PSRznz0K+jlI7Vlao6ihXDYRDMmzHRblqYKXcRCKmYWGtvqGPO7tcCxI4AD8G3UniaBn2hvhCviu+0NStYEIT4F/3nfcF/GulZdjPFHfrrRc6MYPtJiKvlVvBtWU7LgrlFpq6dWy7UxOddoWKHizU5DgeijUdw9reJyPu537f+bzOBB5/x3sDlbr5TBO/9+vJUjXo21u2i9nlKgYyERQqLXgeUGuYcF0Py8UmQqqEesuEpkib4oX5sg5B9Ouzlm6jqVv7iw9uE7M7aOzBtl3MrdRhO/5Oq6WaAdO2kS+3MNof3zTWUGuaz7RzRr6sw7LdYDzJshzkyy0mcVwg/grLXfHdSuuZruW1LcbyjlOrZQYJHADwdLmKlukgrG4cz+7Ue42WBcf1sFJsQpElPF6swHE9NHR/N5+ny3X0p6MoVXWEn3GS91K+ESRwAMCTxcozJ3F4nrfhmPvfywmS6jrtto58Rcf02Pbv96z3k2dxkp9Nh6NzLrqev6PUQDoCWRKwWmyhqZvQDae9mJkLz/MncpeqCYQ1GZmEhPnVOkRBgBwWUaoaKMRbGM7Fth1bvzdXDv69UmxhqdDCUC4aJHAAQLGiwx32NswX6u3v7DU+chCFin5s43tEZ0X3fat3PH+/963jMrtS8xM4AMADHi1Utk3i6J3vtJxvQFMlSO2FbvLl1o5JHI+X1uc8FioGwmoDifbxOcp2eu99+MlSBdGQ3y9qtCwUKq0gZrqYbyCsykHd+niximj7d/48iI19n+6/+W7x16Oc9/Wk69jWmhbWSs0jq/+JiI7DuU/isG0bv/zLv4x/8A/+AV555RW89957+IVf+AX8xm/8BlKp1L7fz7Is3LlzZ8/Pr+sOFvJdA36rS7ij57d8brlhY6VkwbA85KsW7JaEZlVCKibDrp/MBOb8moF8fr1REpdrKNhecMMPayJifRqePHkSPKfWcrBYMNE0XFRrOmxThKWLgCnjzp3Gnj7X8zwsLRuw24FRWRYQ8bY+bo7rYWFZh9uOS4VUEXfsNb/8VQuF6nrD0GmqKK3snKxQqttYLfuBl9WVVYhmCdW8f6ksLenrZZIEhN21DTtYlBs28oVG0IETbRl37tSxE9N2Mb9iBMc0FpYg6Cs7vuZZqbKI1ZVVv4yiAM1ZOzernXWfi+eBqkgbdtjQtPXzV2sHKhVZhCgCmiJCFAVIor/KhSxLCGtyMAlEU0VoirRhC+WwJgd/+3BI2pCdvFsDOqxuvIWo0sZzSBIFKLIYBI39cgoIqXLQYZMkYdPq+r3vq6mnJ8FIU6X1gXHhdJWNTi9ZEjfsgBNSJSiyBFEUgo5raJtzKaTKgIDgvhLSTv6cC21xje41jcN/rQFZFCEIfh3R+bmmSsF3VWQRYvv+KgjYdaX+3jL1Pt7ttfWmBUUSAQFBPbjd32RzHbVeh6myCFWVYJoOZEmEpsgQhfXv2D2Itt9y7lfvylbbfZ8NZTll59p5FFZlVLHeN+isPgX4fwOnZcEVBciSBFnx75GSKCEaloOER1WR/PNLFRG2/b+zJPn32EhI3vDee9F7bhzlvS2kStC7koWe9bN6r8fdznOi0yoRVTfUwbGIAk312wqKIkIwBaiSCEeRENJk1FomXACC5/eVFVmCLAmQ2n0BRZGO9B5DRAe3qd3a1WZLd01iUFURmrLezuye3KxIIjx1fRK2tsd2W+99cqd6IhZRUWtPspZlEaF2G1kUBX8lW2tjPx/Y3O857v5ySJNQb7pBOZ91BXFF8hfJ6EzaPOrv0/v+bNecT/GwEsTKNFmErIgQBBGi4K8+H9FkCILfFuhMqgaAZFzbcD52x/bUdjxwPb4gd/1uY1wxrMlwHA+W7V/fnWv6WfTWC7Is7hhnDqnyhnihqkhnfnEhosPUW//39nt303s/2e31IdW/BjsT/1VZPPZ7UCK6MdGi0+7pHv8AgEhIhut6UGU/htgbL9RUCWZ7OFAQsK+6ZVNspOu1m+OOe3tfuV2v244HQRAgSwJkUQzeb9NYwzPWhZoqwbQciKLQXnVXZL/wguk9h5717x9SpWBVZlkSIUkibGuXFx0iVZX8MrQnWoZUaVMCR+fnAIL2f7h93cUjKip1E7IkwHWBWMQ/HoexI8RWcZxnJQgCNEUKFrqSJTGYJAr4bb6uKQl7iPcf7vmwH896L6OTF1L9toEoiAhrcjBep8oSVFmGIErQZAktyQYs/7pSZTEYX+v0OwD/fhTW2tfINmPrsbASLIanyCLSUQWSKECWxWCxg06/p9tO8ygO26Y2FneXIUJIlYJEqt7x/P3et45LItLb99j+Ht473ymsyUFbG9g9VhgLKyi27+uKLCLSFcs50jkCPeWKR9RgPqUo+rsWdkR6vlM8ogTPBbaOV9btvcVft5pTclhiYQWl9hpEorAxTkZEdBad+5blnTt3vkLFwAABAABJREFUsLq6ildeeQUA8Pzzz6O/vx93797F66+/vu/3UxQFMzMz+3rNRKmFlXwVxfwKXr41g+gOW4Qt5huoNy1YjgtF8oOlo/2xZ97S/KCuXwcG7ueRL+vIJUN4fiaDhm5jqdCELIrIJiQszs9icnIS4fD6ah7LxSaqdROXpg1U6yaiYQUvX83tqyEyOW1jsb0N10hfdMeO0MSUGZRptD8aBGdd18NivoGmbiMZU7dcUbuX53l4vFDEg0dzuHxpHFMj61uVTk7bWFjzyzSci26YKNcxMFTBo8UaIiEZr17NQd3Dd56YNLBabkGVJYz2RSEf4TZfrVYLpv0ISrQPiqJhKBc5Fw2aVquFJ0+ebDoXD9t+krgOg6pIuDKexlKhAVkSMTG4vlJ/NhmGabmIhGXUGiZURYLjuHA9vwORimv4Yz96Dd94ZwFN3cK1ySz6MxHcnM5iYa0Oz/NwfTKDUk1HU7cxPhjH1HASHz0tIaRK+NiNoR3Llk6EMD4YR7lmQIyKqLibz/WrE2nMr/qJTKP9MQiCgMtjKcyu1OB5Hkb645sGdvszEZi2vxJHPKqeqlUsJocSkEQBhumgPxNhgIb2RBSF9rVQgyAIGB+IQ5FFXBlPYzFfhyyKGB/cvAsH4CdTXRpJYq3UgqZKGN9it47jloprwbUfDsnIxiRUt86z3GSkLwbX89DSbQxkwrBdD7IkYnwgDlWRMDOawmqxiVQ8C3geXAAD6ciuAyt96TAs218pNxZR0L+PHSQmBuMQBH/Fu6FcFLbjQVOlLXdGAdbrvuU1F+m4jIGuOkqWRXz+5VG8c28VA5kIhnJRyJKIZExDJhHyV6rw/JVSM8nQpkHqwzSUjcJx/NX3UnFt19XYT+O5dh6NDsThAdANG9lkGPGIimhIget5+MqnpvD9D1bgCR6em87Cdf2k4ZH+OCYGE1guNhALK0hEVaQTIcQjKhbzdSiyCM8DBjIRXB1PYanQhCgK257DvYZzsWA3j1Rce6ZVH3f/rCg0zfGvgc418Qy62yKRkIzB7PYr3hCdZlPDSTQNGwtrdWTiIdya6UOnifzajUEsFuoQICAWUlBvGbjzpIR8uYlIWMVQJopEVEU4JCMaUhAJKRgZiHHVIaJTqj8TgeW4qDXMTf3dz78yCsN2sVZsYnwwgWxSw+++OQdFlvDTn78Ex/aCe6imSlvGCXYSi6iYGk6iUGkhpMk7thU+9/Io3r67Attx8fxM34bY1pXxzf18wO/3XJlIY6Gr3+M65pbvfxQujaYwt1yD7boYzsWCCZ8HJUkiro6nsbBW31fb6qCSMQ2TQwkUqzrCmoyRfrbHz6PL4xnopoM7j4u4OZ2B67j44HEJggDcnErj8kQWA5kI0vEQBAFBXH20Pwb15VG89yAPRRbxyrWB4D0VWcLlsVRQJ3T35TRFwuWxNJaLDSiSH3vwPH/lSdtxMZSNPnPCE7B9vbCVsYE4bNvBk6UqYhEV1yYyzzxxmeg8GcxG/ZXjW9ae4jm94j33+9Fd7l+D2Sieu5TD48UKVFnElfHMnnevOCzXJzMwLAdrpRYGsxFcHk8D6MS2PMQjCgYyEWiKhIZuIxFTt4wXTg0lsFa1YTsuBjPRfSVxjPT79eNW8YpMV+whGlb2FXv4/KtjePvuKjIJDX3pMHLpSFBPd4819KXDz7SDGADMjPltIU2T4Ln+pHLG9y6W7va+pkoY63+2uMCVsfSOY3lHTZIk/MznZ/D1H8wDAD73ytbLd3d/72RMRViV0TQsREIKfnh/FbpuIxxW8eLlviBO/6yyyTBef24QD+YqiIUVvHpjYPcX7cHV8fVjPtof3zA/JKTKmBlL4eliEYmIhMld+oG995Pj3OVvMBv1d5Xd49gEnT4zYynMrdTguB5++rOX8NHTMlzPxUtX+iHLImQAP/m5S3jjnTnUmzZevNKHyeEkbNtFy7DxhY+N4clyDfWmhVeu9SOkyTuOrf9XP3YDv/b1h7AdB1/42Dhi7V1Jr/XMM+ildvV39hMfOYjR/viG8T3uJEgETA4lIYk1mLazqX2+3/vWcRkdiOPla/2YXa4hGVXx0rWd7+G9850M08FKqdmOsey8Y+9nXhzBmx+uwLQd3JzKIhXX1uOMRxj3624DJGMacqkwZpersBw36Fft9J3y5RYqdb/vM9TT95kZTWF2j/HX/vb8jaOY9/WJ50fwTceG1Srh488NPPN4MxHRSTv3s0+HhoawvLyMR48eYXp6Gk+fPsXc3BympqYO9H6CICCyQxLGViYjEfSnw7hjFxGNRHZ8/cz46Zms3PGJF8Y3PI7FgIFcCgDQbDaxCCAcDm/4XtP7PEZbiUSAXGbnRs/6cyNBmXpdie1/Mtf0qACjtoqpkcyG7xWJANn0zmV67nIEz13eefJ7r0gkguGB9L7LeVCqLOL6dP++z+WzoPdcPA+SMW3bRudQLrrjFn0AMPGjm7fhuzK+fr7FeyYRTw7tfdu+wWwUg9koms0maoXNAdxISNnwWYC/Gkfvz3qNntLJCrIkcvtxOpBoWMHVicyGnyWiKhLRzDavWJdNhpFNHl1y2kF0rn3AbwvslSgKmNghoJFJhA48mDDcF8Nw3/5fJx3guh7MRpEIC3AaS5sSbfvSEXzp45Nbf5YoYGJob22bZyWKwq7Bo16n8Vw7byRRwGTPOdC5LiYGE/j8q+PbvBKbthgHgEQ0g2u9dUtsf9fQQc6VgxKP4Broro+IzipRFHDrUg63LuU2/HxqOImp4SRewcaBhK98+jhLR0SHbaQvBmzRbpUkCX/wExvjlS9c7t/2fQ4yONWXDqNvDwnPyZiG37dNu2Srfn5HrKff02weXxKHpkiYGUsd6nvGIuqmftxR6s9E0L+HBWjo7NIUCa9eH8Sr1weDn/3EZ7d+7nAuhuGupsFQLoah3NaTMXeKHabi2qa+xMxoal/l3s1O9UIvSRQwM5bGzNjxxcKJzpLDSBzc6/2+83mTQ4lNsYrjJEkbk9M6BGF/x0KRxQPXb7vF7A4ae0gnQvjCa1u3qQ57rOEo2kJ09uzn+t/NXsbyjtrYQAL/hx+9sevztvveN6ayR1EsAMDMaBozo4d7fHY75ul4CNpYCk59adcFIY8jEX2nzz6ueDMdjZAq43JXe31sYPPfsxO33M7oFq/ZzthAHP+nn31x08/30s/Yqr9zFI5zfI/orFBkEdMj29cD+7lvHacbU9k9txF666FISNlzcmIsouLzr25MQj2OOONWbYBLPf2knb7TTnPQ1H30OQRBOLJ5X5GQjE+9MISsWmbiOhGdC+c+iSOXy+F/+p/+J/ziL/4iBEGA53n4S3/pL2Fg4HBWRCAiIiIiIiIiIiIiIiIiIiIiIiIiIiIiItqLc5/EAQBf+cpX8JWvfOWki0FEREREREREREREREREREREREREREREx6jesvAPf/U9eB7wZ37meUTDykkXiS64C5HEQUREREREREREREREREREREREREREREQXzy//6nv4z2/PAwDCmow/+1++cMIlootOPOkCEBEREREREREREREREREREREREREREREdtkrdwDffXQge/+6bs2gZ9gmWiIhJHERERERERERERERERERERERERERERER0Dr17bw2242FyKIHBbASm7eLde6snXSy64JjEQURERERERERERERERERERERERERERETnznsP8gCAF6/04aWr/QCADx8XT7JIREziICIiIiIiIiIiIiIiIiIiIiIiIiIiIqLz58FcGQBwYyqLG5MZAMCdJ0zioJMln3QBiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIgOk+24mF2pAQCmhhOwHRcA8GSpCtf1IIrCSRaPLjDuxEFERERERERERERERERERERERERERERE58rCah224yKsyRjIRDCUjUKWRBimg7Vy66SLRxcYkziIiIiIiIiIiIiIiIiIiIiIiIiIiIiI6Fx5vFQFAEwOJSAIAiRJxGh/DAAwu1w9yaLRBcckDiIiIiIiIiIiIiIiIiIiIiIiIiIiIiI6VxbX6gCAsYF48LPOv2eXaydSJiKASRxEREREREREREREREREREREREREREREdM4sFxoAgMFsJPjZWHsnjoV2ggfRSWASBxERERERERERERERERERERERERERERGdKyvFJgBgMBMNfjaQjW74HdFJYBIHEREREREREREREREREREREREREREREZ0rnUSNga6dOAYykQ2/IzoJTOIgIiIiIiIiIiIiIiIiIiIiIiIiIiIionPDtBwUqzqA9cSN7n/nyy04jnsiZSNiEgcRERERERERERERERERERERERERERERnRurpSY8DwhrEhJRNfh5JhGCLAlwXA+Fin6CJTwY1/NOugh0CJjEQURERERERERERERERERERERERERERETnxkqxCQAYyEQhCELwc1EU0Jf2d+NYKTVPpGwHUW2Y+Ev/25v4q/96EW/eWT3p4tAzYhIHEREREREREREREREREREREREREREREZ0bq0ESR2TT7/rTYQDA2hlK4viX/+ku7j4tw7Q9/KNfvwPdtE+6SPQMmMRBREREREREREREREREREREREREREREROdGoaoDALLJ0KbfZRL+z4pV41jLdFC24+J335wLHlcaJt7mbhxnGpM4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiOjcKFb8JI7Mjkkc+rGW6aDuzZbQMmzEIwp+5FoMAPC9D5ZOuFT0LJjEQURERERERERERERERERERERERERERETnRidBIxPfIomjndjRSfQ47X54Pw8AuDmVwaUhv+wfPi6eZJHoGTGJg4iIiIiIiIiIiIiIiIiIiIiIiIiIiIjOjSCJY4udOLKJ8IbnnHZ3n/gJGzen0xjLqRAEYKXYROmMlJ82YxIHEREREREREREREREREREREREREREREZ0bpaoBAMgkttiJo/2zwhlJgniyVAEATA7FoSkihrIRAMDjpepJFoueAZM4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiOhcsB0X5foOSRzt3TmKFR2e5x1r2farUjdQbCekjPXH/P8P+P+fXWYSx1nFJA4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiOhc6u3DIkoB4RN30+0xCA+Ane9Rb1rGWbb+ethM1BrMRhDUZwHoyxxPuxHFmMYmDiIiIiIiIiIiIiIiIiIiIiIiIiIiIiM6FYrUFAEgnQhBFYdPvFVkKkjuKFf1Yy7ZfT5dqAICJwUTws/H2ThxPl2snUiZ6dkziICIiIiIiIiIiIiIiIiIiIiIiIiIiIqJzoVj1EzMyidC2z8km/d8VTnkSx3KxAQAYykWDn3X+vZRvnEiZ6NkxiYOIiIiIiIiIiIiIiIiIiIiIiIiIiIiIzoVSzQAApOPats9JxfzflevGsZTpoFYKTQDAYCYS/GwgHQYANFoW6k3zRMpFz4ZJHERERERERERERERERERERERERERERER0LlTaSRzJ2PZJHJ3fVU57EkfRT+IYyK7vxKGpUpCgslTgbhxnEZM4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiOhcqDT83Sl2TuJQ/eee4iQOz/OwUvSTNAa6duIAgMF2Usdye6cOOluYxEFERERERERERERERERERERERERERERE50InMaOTqLGVToJHtZ3wcRpVGyZahgNgcxLHQNZ/vMydOM4kJnEQERERERERERERERERERERERERERER0blQqbd34ojuvhNH+RTvxLFS9HfZyCRCUBVpw+86SR2d59DZwiQOIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjoXKo3dd+JItBM8qvXTuxPHSsFP0BjMRjb9ri8VBgAUKvqxlokOB5M4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiOhc6CRmJGPb78SRav/uNO/EsVb2kzj6UpuTOLLJThJH61jLRIeDSRxEREREREREREREREREREREREREREREdOa5rodqsBPH9kkcnV06Os89jQpVf5eNbDK06Xedn3EnjrOJSRxEREREREREREREREREREREREREREREdObVmiZcz/93Iqpu+7xOgkfLcGBYznEUbd86CRpbJXHkUv5OHNWGCfOUlp+2xyQOIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjrzqg0TABANK5Cl7afKR0IyZEkAAFTqp3M3jmI7iSOzRRJHLKxAlf3vV6xyN46zhkkcRERERERERERERERERERERERERERERHTmdRIykjvswgEAgiAgEfV346jWzSMv10EU2skZ2UR40+8EQUC2vRtHvtw61nLRs2MSBxERERERERERERERERERERERERERERGdeZV2QkYypu363FT7OeVTuBOH53k77sQBANn2zwsV7sRx1jCJg4iIiIiIiIiIiIiIiIiIiIiIiIiIiIjOvEqjvRNHbOedOAAg0X5OtXH6kjhqTQu24wIAMomtE1JySX8njkKFO3GcNUziICIiIiIiIiIiIiIiIiIiIiIiIiIiIqIz70A7cdTMIy3TQXQSMxJRFYosbfkc7sRxdjGJg4iIiIiIiIiIiIiIiIiIiIiIiIiIiIjOvGrd31UjET3bO3EUq35iRidRYyupuP+7cu30lZ92Jp90AY5atVrFH//jfzx4rOs65ubm8O1vfxupVOrkCkZEREREREREREREREREREREREREREREh6ba8HfVSER334kjEfGTOGpN60jLdBDF9u4a6cQOSRztJJRynUkcZ825T+JIJBL49V//9eDxP/7H/xhvvvnmsSRwVOoGGrqFZFSDAKDWcvDGu4vIJCIYH0rCdV08XqzCsFz0p0OwHQ8TgwmkEyGUqjqeLleRjGmYGk7u+Dn1loVqw4AsiXAcD6oiIpsMw7Zd3J8vwbZdXB5PI6TK+K1vP8b9uTJGB6NIRDTIkoRCRUciquALr03AcRy89eEqGoaNvpQGxwXevrOM+3MVDOciiEc1JKIqZEmEJIpQRBtLyw24WgGq1sDiag3LxSZG+2IQJQGe62F+rYlETMbl0TREAfAE/+fvP8ojX9IRC8uot2zMjCUwlIvDsmx88LiMRFTBx673QRAEfPf2Muq6g8mhKBwXuP1gDffnK7g5lcZPfe4K1spN/M73ZqHKIj79whAkWYYkCrAcD+Wajny5heG+KMKaAlEE8mUDiaiCV68PwrIs/OobD2EYLpJxFZblIhEW8HS+gby5gHrLQ0iVsFY2EI/I+IlPT8HzPPzvv/sA5boJeC4aLRuvXh/A9eksFEmE5bgIqTIyPRVnodKCabl4slTB4lodN6ezuDaZ3fQ39TwPa+UWXNfDR0+LyJdbuD6ZQSoRgut4yFda0FQJpuUCDjC7WoErCPjCxyYQDW1/WduOi5ViE+WGDdf1Nvzu7Q+X8WS5isnhBIZyMUQ0Ban41jewUlVHy7SRjocQ1k5HNTK7UsPDZR1DozoikcieXtO5RlMxDZGQ8kyf/9adZVQbFp6/nEMuGd72eaWajpZhIxXTIAoCijUds8s11JsGcqkIBrNR5FJhfPf9Jdx5tAbHE5CMaohGJJSrJkzbwffeX4JtO5gcSQKegHrDwEqxBVECRgcSkAAUazpCqoIrE2nE///s/XeYndl92Hl+33zzvZUDCkAhA93owE7MQQyiGCRKK8lKY9mSZ+Vdj2WP1h7Prj3rZ2yNx34keXe99lgeezSSJS1lm0qkKI4oSqQYxdTd7EZ3A41GKFSh8s3hzWH/eO+9VYVYQKMbQPP3eR6yUVX3vfe9bzjvOb9zfudkLeodh4WVNlEcs2ciR73tkbEMjuyrcHmtSxAGhBFYhkYua2IZKnun8yyudjAMkw++ZS8z40UAzi01uLTW5lsvrZMxNT70znmaDZvzl3ss95bo2RE9N6CQtTg6P0Iha2AZOpqmsLTWoeP6mKpGRMxatUe96TBSznBgtsKhuQqKAqvVHpWixexEkdMXazS7HiMFiyiOOXW+RhzDex7fw/xMmVbXo+v4BGF6342Vsxj61kJTQRhTazmoqsJEJYuiKLs6p1eeq1eWGjS7HgdmysxNFXf1HtWmQxDGjJUzmMa1lzMTbxx/8pcX+Op3lsnpNi+snkfTdfZPF9mo2xzYU8LQNFRVZXoshxdE6b2dTcueiystWl2PmfE8cQymodLouPSckGxGY2mtQ6VgEYYJPS9kfqZAuxdQzJqsN3sEQczjJ6YoZE2iOKHadEiShImRHJqq0HV8nj69jq6pHN07QhDH5DM6thuhayrjlcyu742bieKEzYYNQKPjsbLZYf90iULORFUU1mo9Nps2B2bLZC0DXVP5tU+dYr1u8/aHZlA1jUrR5KULVWptjydPTOB4MWNlC8eP8P2YkwfH6DgBhZzB2UsNgjCm3fV48WKdgzNFNjsemqLw0MFxNpo2B/eUaHZ8TFPl0GwF2wvRVHj6TJVywaDedqg2XA7Olrm41ma8nCWMIppdnydOTNBo+4yXTb51ZhPXi/i+t+wnikJqDQ8WGpiWTSmn0+j4oCT88VcX0BSF9715jnYnYH66TD5noKoKuqbg+hG6qrBas8laOqoKPSdkZixPGF+7DrHdpdUW5y43markUDSVOEk4treCaerUG13+8+fPo2sqP/H+YxQKJu2uz7Nn1zEMlTc/MI2m7SyPBvWTkZJFxtSJ45hXFlu4QchI0aLedikXLDRC6t2QtWqXtttlYiTHnonCHblu3sh8P+TlpSaqonBs3whff3GFxbU2QRCTkGCYGmcvNqg2e6zUHAxN4eShceotl41Gl46T1tl0BTQdxgoGa82AOIF8VqGYs5gsm2QyGSYqWZY2OuQtkw+8fR/ECqWcScbUcfwQ2wnQdZVyIUOtaZMkMDZi0emF1FrpZ0+N5rEsnZylM1K0eHmxgeOGjJQyKAoYukopn14r25+v55ebtLs+xZxJuWAxXsmiqgpRnLDRcGh0r65/DrS6Hu2uz2bLxtBUjuwb4dJah6W1FpVihlLeYGG1Szln8sQDk1xcadNzQw7tKVPoB1PiOOblxbTts2e8gBtGN6zP3inVps3ljS5j5Sx7b1A/cL2wXz+78f0t3hjOLTXouSEH9pSHAb9rCaOYzYbNWs1mvW7T83xWNrppHbll4/oxuaxOtWljb4u36SqE8dbPs+MZ4kTBcVxQNApZA9sNsb2QkbLFB57Yh2HobNRsLEvF1HQqZYsT+0eHgcg4SQiimIlKDlWBjKXvqDvHcdpGTZKEiUoWTXt9FnbdUa95HT/3btje/ni17VNxb/v3f/AdnjtX45HDY/zQuw7yW3/6Cpqi8DMffpDf+MyLvLzU4G0PTZOxNP7jp19GVeHf/sKT/Nbnlljc6PLex+b4/ncdptZyMXSVsXKG/+nXvs5aw+Yjb5un2nD4479coJQz+A//6IP8m//yDLW2x8fedYDzl1t89huLzIzn+Ac/+Sj/7Deepu0E/MxHHmByNM/ZxQZTI3kOzpb5o6+exw9iPvT2eb709GW++dI6Dx4c4wffc4RPf/k8UZLwsXcd5sJyg3NLTY7uG+HwnjLf7Lc7njwxzfJml/NrLpOzLl0HPvuNBSxL5YfedYjlqk2z47F/uoQXhHzt+bVhfPKPvnyeWsvjnY/OMl7JsrDaJp/VOTw3sut29vZn9J6JAtWmQ9wvSxZW2yysttg/XWLfTJmXL9VRFYUj+0Yw9euXM19/foXlapeHDo8zN1nglaUWGUPnyL4yra5P1w7YbDr4YYSmqYwUTA7vHbnj11AYpvWe7e2A15IXRNRb7jDmPGg/jJYzWBLruCEviHjpwiZPn9nky89eptP1KeQMpkZzoCq4Xkghq+MGMZvNHpauo6mQyxjpM7DlUchoTIxmubzeQ1UVjh8Y5U1HJ4giePFiFccNmZ0oUMwZdJ2QvZMFCjmTP/rKBeq1LuVKjuMHxpgbz/LcK3VaPY/56RLvetMeGh2PCyst4igmnzGZnytzYLrE4kb3mvfE9tjCkyemMc2d579t+5y+WCOOE07MjxHF8VXXSrvn0+65rDVsVta7TI3medPRCfwwpm37FLLmjpnxqk2bF86ts7piUxjtUComFPMGnV5wx+MZ4rtbs+NhezfuKwijmGrTQVWUYZv3Tlmr9Vir9W471uIHEReWW8RJ0o+56diuv+NZparXf8YNYpODPkrbDViv2/hBREKC60VX7VsYxjz98gaO63NkbwVFTfsoNU2hkDX4469cYGmjwzse2cPDhyc4daGK70dMj+UIwoQoSshndTq2j+NFZCwNz08bOqau0Or6FPMmkyMZnj1bxfcDGh0PTVOZny6w2fTImDormy26nSbr9iLfOdfi0lobU1eYGs1hmDoPHRyn3fM4c6nBo0fGeODgBM+c2UDTVI7sLRNFaXtocjRLo+0RxQm27fOtlzco5wweOjxBz/Zp9nymx/I8cmSCc5ebLG90sSyVjbrNC+fqWKbGm09OU8waoCgUsiaVokWt5XB5s8uL56ps1Hsc3FvhA0/OMz2e53f//CwbDZs3PzjN/ukyi+stTFPjzQ9Ms9FwWK/bTI/lmRzJUW2lfYa5jM7qZpfNlsvseIEDsyX+4pklFlfbPHxkgocPT6BpKq2ux8JqG88PMQ0NP4wwNJV81qSYMxmvZHD8iIvLLfIZncN7R2h2PFZrXWw3oJyz6PTjSMf2jxKGES9cqHFm0WZk0iauecN2b9bUqDbdV10uD+8xVWG8fGv32MJqi2bHY+9UkbEb9NHdzPa+/UHs/o1k8P1KeYvCtu93ZXwY0jjAoA49Xsmi99vjthvxledWCQHHCSkXMrz/qf04Xpi2a92Qju0zUsywf6bEc69scG6pyeG9FR45Msml1TaNjjs8V7WWg+uFNLseQRhTKVjESsLXn1+h54R0vYCMrvO+J/cRhDFPn1kjDGOKOYMkSdB1g3q7R63pkbE05iaL2G5EGEU4nk8UKYRRhK5pTIxkmRjJ8tXvXKbRDTANhYyhc2J+lImRLFECURTx9EsbBHHM1FgWXVGxvYgE0JSEKAHiBE1VKBVzhFGEpiooChRzZnqMnZD5mRKPPzDFn359gYWVNqWCyUgxQxxFqJrG2x+e5dBcmafPbNK1ffbPFMlaBglpLKTedodx0ivbKH4Ys1a3aS91Ob/cZGosxzsemePiSosLy03mpkoc2zcyPN+trofnR7S6LmGU8ODBMabHXl1cf3C+s6a+YyDZoA95fqbMobnKrt7rbsWc7jWDcnvQ9r2Zru0P688d22ezYVPOqWy2fLyzm5RLBSZGslQKJrWWx1eev8zaRhfL1CjmLWYnCnScgJcv1kCBBw6Ocnz/OJfX23zp2WXiJGGsmCGMI6otjwTIWxqzE0XiOGG9YaNrCpqqkiQxHTsgihJylspG26NnBxQyGkf3j/H8uSrNroemweRInkeOjNNoOQQh5HMGpq7ieiGqomLoChdW2jS6LpqiUCll2D9dopQzWav1sAyNw3NF1uoeI2WLtz44zaX1HllLZ+9UIe0L7Lddt9s+/iajxzR7Iacv1kFtMzWap1y0aHZd/CCmkDUZr2TRVOWG40natr/jOXq32G5As+uRtXRGitL3IK42aGtMjeaYGb9x+W+7IecvN9I64L6Rq9oQl9c7VFsOM+MFpkZzO2JEYZTwhW8vEiUJ739yPxeX63zicy8ThzYnTsBmw2Z5c6s/bRBne+TIBIfmKlSbLmEUD+uT29tef/6tBT7ztUuMlzP8zA+c5Jkz61xcbvPgoVHe+8R+6m0X1w8ZLWZo9zx++be/hR/G/F9/6CSjpcKOmOSnvnSBzz9zmX2TBf77v/bm4Vi5wfi9f/a//yW1jsePfM9hTsxP8Ot//AIAP/ORkxi6wvlt9/1fnlrm2y9tcGRvhe972wE++cVXWFzr8raHZzi+r8g//fVv03NDfu5jD5G1VP79J1/E1FV+4ccfp952+erzK0yN5vnw2w/wic+f45svrPPUqsFf++jD/Lvfe461Wo8PvmU/bzo6xeefXiQIY979+By1psPvfeEcpZzBz3z0BC9caPC151eZny7y/e8+zK//0Qu8fKnBWx+e5mPvOjLsszq0p4xp6rx8qQ7Asf2jvLJY44+/usBYyeJvfOzhYX1iz3iB4wfGbqmefWVfaMf26dg+pZw57M+FtP26Wuvx0sUaOUvnqRNTZLM3XyVhu1rLpd4J8YOI3Y0QFN+tuk7aD1rM3bx9Vxgmcfiv6T7djkFixsgNxj4MxkVIEsf9R0mS5Nojad6gPvKRj/ALv/ALvP/977/lbU+dOgXAQw89dNPX1tsu55aaACgKTJQ0fu2T3yGbLdJ1Q+YmC3hBRLXlksQxPTfkTUcnsEyddzyyh688t0wUpafmkaMTPHRo/Jqf03UCTl+sEYQxl1bbTI3mKORM5iYLvHypwfJmF4Bi3sQPA/74K5eIogjbjdgzmafR9ijkDIo5i4cOjZHPGbyy2KTd9ei6ASoJF1Y6kEAM5DIacZSQ7xdshqpgahG6laGUs7iw0sIyNLpOwJ6JAivVHllLI4oSJis5RsoZEhI26zZrDYckjvGCmIKlESZwbL7CpZUOhqaBArPjOeIE1mo2YRSnD19LY6OZFjYKcHiuwHrDI4oSwjimkNF54OA4XTvA0BQurrYp5Ey6ts+J+TEW19tUChaFnMnDh8d5/pVNFtY6tHsefhAxXs7Q6vlUMgktV6FUtNhsOGRNnULO5Ni+Cl0n4NzlFp2eRxAmZC0VFJUPv3Uew9CYHstTyBrMTRWY7VeCL290WNns8eKFKt8+vU4ua6ApCn/9ow9clchxYblFtenw9RdWePlSA8vUCcKY73l8jgvLLUp5i0vrbcZKGS4stwijmFLeYryS4R/81Sevea3EccKLF2s0Wz2WlpZ4+MHDnDw8DcBXnrvMp750kShOcL2A9zy+l/3TJQ7uKTNe2VkJW6v1WFzrAKCqCicPjQ0DenfLixdqfPOFZarVKlNTE/zAu44Ml4i6nlrL4fzlFpDeow8eHNvVQJmnn34a0zR3lAP/x9cu8vy5KgCWqfGzHz05XGJru426zcJqG0jPR0LCheUWz71ShSRBVRXe+aY9bNRtvvHiGs2Ohx9GmJoKCgRhhB/u+rAAoCqgKRDE1/670v/+gzGVg591DVRFRVEVilmDSjHD//hzb+P0Qo1TZzf5029eIohiVAVyGZOje0ssLDeIFY2uHYCioGsqEyNZZsYLTI5kaXY81mo2jhfg+xGOH+D5MUEUY2gqlWKGdzwyS63lMlZOG2Z+GNFou3SdgEbbTYOMPZ9cRiefNflvfuRhmh2ftVqPju0zN1lkpGTx4MFxNFUh7ieMuV4EwHgly8E9N06Mu+pcJQnNtsup81XiJF1i7YNvmb/p+yyutVmrpQPZDV3locPjwyD3bti2zenTpzlx4sSuE5PE9d3J43mtcuCPv3Ke//iZ0yRJgufHZDIqectMEy6mizTaLkf3jVAupJXmR49ODsue88stnju7mXaKtBzedGySlc0ura6HoaucOl9jajTHWq2HoauMFCxqbZdHjozz8mITVU2TvcoFi5/96INcWGkNs8kLOYNj+yr82qdepNFJA/WWqfGux+ZYWmszM5bHMnUmRrI3TRrd7bE9fbFOx/a5uNri+VeqFHMGbdvnzQ9M0+75nF1skM8adOyAtz8yyyf/4hxr/aSPOIbZ8Sz1dtphoyoQxbB/tkSz7WLqGqW8Rdf1eeuDMzz7ygYkCu2uR73joWkKYZSgAJqa1l2mR3PU2y4TlSyqqqJpKg8dHOVL31khY2o0Oi5hGKNr4AaQs3TcfmFrGQp+CPtnSlxe7xAnMZqqAAofeGKGlxeqzM2MkrEs1us9juwd4VNfOk+cJMRJjKqoPHliipbt87aTs5iGhuOHjJUtnj69STlvstlyiKKYmbECjbbLYycmyZg6c5MFZq/RaX9xpcXv/vlZ4gRWaz32TBSYGcszWs7w/if28Pf/9VeH539yJMs/+Ztv59f/6AU6/d8d3FPmR993dPh+g/oJgK6rPHRojG+9tM6F5RaOF7K43ubQbIW27TNZMWk3q7T9DFNjRRRF4e2PzN72tXO/uF75ca2y4EpxHPOZry0Ml6xcrXbZbLpc3ujghxFKkuAFCXeyQaYAqgoZU+dNxyZJkoSRYoZm1yNOElRFIYrT65MkIU7SwWW2F6CgUCmaHJwtMz9bZq3Wo93z2aynCR8TY1nGSlkmKlniJEHrB2/X6z2aHS/tbAOeOjHJ1FiBo/tGOH2xTrXRYWlpiQeOHeTR47M79ndQJ3v+3Cb1tst4JYvvRzS7HrYb4ngBCWBoGuWCScbShwmzlqnx/e88SMbU+cLTSyxvdAnCmJ7j88SJKVRVZX62xOTIa/McrTZtPvv1Swxa1G85OX3Nzho/iDh1vjps321vI9wOqSPcebd7TJ9++mkMwyAIguG233ppjZcvNQAwTY2Pvv0guWsk2g/aZ2cu1vnOuU1qDYdGx8X1I66T7/SqZCwVBYUoStB1hdFSFktXObZ/hOXNHrqukjU1NE1lz2SB+ekSU2P5YZ335Ut1Wt30WZLPGjx48OrJCF6N652DM5fqtLtb9ZoHDtzZz71XbG9/qKrCyYNjZG5zwgQpI+6M3R7H7fWB3Wzz//74t/mLZ5aHP5u6itEf2BwEIX6YFgDXKge2j2H7vrfu5/HjaUznP3zyeTbqznW3y/YHWUdxGlMYvE2y7T0VBR4/No5pprGMzWaPnpO2oz0vSOva/ed+IWcM4yeakpDPWf1nYUw5b6Hr6edlLZ1iVqNarTJSKfPCpfZwYOZo0eJE/34Oophziw2C/nMyiEJcL32dpsIjh8bIZtN21EQlOxwgZBoqJw9du5195TN6ZjxPsd8BU++4PH92g4R0oNVIKUO2H9car2T5vrfOX30QgT/75iX+9BuL6blQEw7uqZCz0uNQKVpMjuT4ztkN6m2XZsfDMjQOzZU5fmCMpx6Y3vFer/Y+/dNvLAzP+UjR4iPvOHjL77FbQRhz6nyVsJ89qG6LIRl6eg6MGyS+7Nb9XnZdq04QhDFffGaJT33pPBdXO3f083IZPY0/BBFJnNb/VQWyGROtP0mAvy3jU1fTe54kPX+GrlDMGZQLFo2Ojx9EZDM6s+N5KgWL8UoOQ0/jeh98yzyQDmgcxBYA9kwU+K8+dGL4Gbbr8wdfPM/yRpekHz87PFehXLD6bc1xurbPK0tNzlyq851XNlBRsEyNk4fGOTBbStsowNF9I8OBz5/68nlWN7ts1JrsnR7lTcemqXc8Zsfz6JrK5GiO+ZnSHT2+303u93vvTtlo2CysbNXFHjw4dtXkVUmS8OKFGrabxowqRYuj+7baf9eKEez2+K5Wu/z5t5cYBAfe+ege9t/CdR1GMV965jIr1TS+M17J8vZHZvncNxex+4MV5mdLvOORPdfc/tT5Ks+d3QRA0xTe+8ReFlbaXFhOEzs2mg4T5SzFvLkjDvSHXzzHy5caad9dGPHE8SlaXZ/psRx/9q0lFldboCho/WMaJ9DuemiqQiFnks8arNd75C2dVs8nIW0n6bqK7YTpINOcwfJmj6ylcnkj/X6qppBECYWcQbsXoKlpQkiUpHHE7XRNSZ9dcYKhq8QxlAoGqqoSRjEZQ2NqNE82o+OFMVlT75dVDZI4fc+spWEZGrqhUcwajJUt/CCh0faodxyaHY84TutThgaTo0XKBZN8VkfTVGwn4JXFOrYXp4PAgT2TBSxLY3kzLTMVRWH/ZAHLMijkDEbL/QnUEkCBQ3vKaKqKF0QsrnVYqXaJ44SRooUXRJxdbBBGCbqm8KPvPcoTD0zy6S8vUG87XFxtY+oqXhAzUkzL5MePT5LPmlxcbRH2O49mxnP4Ycz5yy1sN6DrBOSzBjNj6bPBNDSeObNGu93GyuaZHC1QzpuYusr+mdIwceN2y+U4Tu8xx0vvsdFyhsO7HAD+0sUaz5zZGF7DH3rr/E37CK/lyn7DBw6M3VIix25ihXdTo+3yyraxCycOjFHIGteMDxu6xtnFxjCmmcvoPHhwjFa7y7/6+NeJtRwXVtoYmsZ4Jcvx+TRBo9F2efblTYo5o3+f63z9hbX+dQ5vOzlNx0nPsaYpPHx4nJ4TcuZSnfW6ndYrk4RLqx2aPY9mxyMhwdQUSv22hueHdOwAXVNIEiWt+7jh4HbBMlWiCFQlwQ/TvtcoSjB0ABWUBD/YajgNxqZOVDKAQqPtEUbxjrbVsN1EelvGSbqdrirEcVq3imIwDBXPizBMFV1TKWV1NpseURynf9cgSRRGyxb5jMmbjo+zUXfp2j6KkpaViqKw2UiT6MYrWSZGcjvaKM1Wh89+6XnM/Bh//vQKuqZiGhrH59PBr4M20DsemcXQNZY22py/3KLnBFSbDtNjefJZg5/+yAM3nJTwRlwv5IULteGEPftnSkyN5njpYo1Pf+XC8Hx/7N2HObbv6ljplV7rmNOddrPn++2UBbbr8+kvL+CHaTv8gYNjPHZs8rqv79g+pxfqkMBm007H5Jg6m40u7VaTTD6tWz98eIIoSTj1yiYvXqzRcQKUJEnbwKpCEKbPcFVRsAydQ3uLnFts4wURUXT9fgut375IYm67b0PTgAQUFBISSNJ6WHiNz1UBVQNNUVFViJJ0/FMlb2LqGg8fmSCKE3Q1TUSHNA6wfdKlwfgbgJXNFutra9QdC8syKOYMpsfyeH6MG4Rpv9t4Pp286jrjSWw35NNfvYDvp+fs+PwIT5zY2fZ/PVx5P96p/hBpJ+zOq+k/fL0sb3b5wtNLw3rlu980d90JycIw5tNfvZCO9wH2TRd515vmhn+/uNLiq8+tAP174tD48B4wdJU/++YlNpvpTPHZjMIrl9oEUUQcx+yZKPDmk7PD51ScRLxwPu1H0TSFj7xtHjN9WGMaKqqaJncBLFdb/NYfnyWO0/p0IauTKGkSma4pfO9T+zjUT37TNIVf/q1vD+uUJHBgTxGv/+y3DJWLq+1h4TU5mmWkmD4PVQU2Gj0a7fSZpKoKpYIxjGeWcgbve2o/Xv87h2HEl76zPKwzTI1mWe/H6zRVoWf7OP3XJkk6BitJ0kqFZalMVvIE/QaMZagsrXeI47TuUi5adHtBfz9Uju8tY/fr7VlLYXGthxek713JmXhRTNTfkbylsdbfD4B3P7aH0dJWv2rG1IbPXVWBz3790nA/9kykCeSD73Ri/wjt/vVws3q2F0S8sK0vtFK00oHk/Wvv+P5RSnmTMIo5da7K575xiWrLJWtp7Jko8Dd+4MGrJqK8nktrbRZXGiwtLXHw4H6eeGDPLY3Fej3cS+XAa+F+ek78vX/1Rc4uNvkffuYp3nxy5oav/fKzy/zSb3+bk4fG+Od/6x2v0x7uzn/45Ck+9aUL/PD3HOavf/RB4OrzsLDa5ud/5QuU8ib/v3/6obu8x99drndP7Dbf4N4qwV5jzz77LM1mk/e85z23/R5JkmDb9k3/t7bZwvM8PM/DdT1eulgjCBOCMMAPIlY2u2zUe3heSNcO8LyIZtvFdX2eO7uK6/oEQUAQBCws12/wOU1c16PVsXE9n0bbxvM8VjdbLK03h+9Rb/Z45qUNkjghCNNZf6tNhzCKcdyQOI45t9Tg4nKTKIzoOj6el2Y+QjoIEsBxI6IkwXYCPD+i54V4YYLjhqzV0qCh44dpJnu9RxzHeH6Uzp7Stml1Xdpdj0Y7TV4JgrRl5wURSZKwuNIhCGO8MCTszyKxUbcJwxjfDwmjmFp7Z7bYpdUufhARJzFxnNB1QlodF9sNWGv0iKKEnuMTRQmL6+msxz3bJwojzi/VWdzopMcliIjihI7jEyfQdNIAbafjE8eDTrGEhdUWS2vpNoNGZBDGxHHMi+c38TyfZquH53msbba3zlW1jed5LKw0iaKEIEi/zzNnVq8+r9X0+rm83iGKEjw/IAgiTl/YxPdD6u302qk1u3R6Pl6QnsONus3KxrWvl2a7m+6Xnx6/jVpn+LfnX9kgjmOCMCSKEhZWGv39b1133zzPw3FcNmrtXd0Tr+X/Li7XCcK04uh6PgvLtZtus3rFPbpWvfq7Xut/13Jpbasj1vMjFtfa13zd9kzHnhvQsYPhPeb4IXECK9Ueryw1IEk7X5IYvChNdrqdlLs4uX4CB1wdWBkEH5MEvP796Ycxthfy8qUaq5s96p10ppYkSTfoOj5hFOOFMa4XEcVb90Sj7eH7Ee2ez3rdBhJsN8QNIlw/Hg5QCaKYKIo5d7mBF0SEUUIcp8lpYZRu4wUxrf4xDMI0qevp02lgvucEJEk604TrRXj9AdiuHw4TOIBhwPlmdpwrJ+DyZm/YUHH9kJV+gtxu3yMI42EHn3hj+saLa5BAEqfPBd+P8fyQKIxx/JAgSthsObh+NLwOkwRaXX94PQVhTBCm902j7eJ4EY3+7FNuEOK4IT0nxPEjvCCmY4d0ev4wgNHqelRb9nAAP5DOBNtyh4Msgn5iVBBE+MHWddnY5b1xM1EUD7PSV6s9gjANGIRhwkq1x1rNxu//Lghj1mpd6h23H+2l/z18/CAelkVJAp2uhxekx9ILQvwgpt3z6dgBXhDScbc6eum/VZSkSSF+EBLHaeKrH8R0ej7VVjqTRxgl6f5s6+QNonTwbJyk75EkaT0iiGLiON2fKEpYqTp4QULHDuj0PBwvYnMzHUCeJGkZGYQxXhAQhgnLm116bkDPCej0Alw/xAsjuraf7lsY4YURrf65uN45OX+5me5fv47VaKfBsHrL5dxyc8f532w6VBu9YQIHwPL6zvJre7kYhjFdJ2C1mr6mY/tp0NoPcf2QetujbUf4QTIMBC3vojz8bub64Y5jfGmtQxSl9dwoTo/jnR6rPXiWD+rkPSeg2nLwgoieExDHMdWGgx+k11yt5fSflyFRnN4jHScgjGKW1juEYUTYryN7XkTXTtsztf6SnZCuiDa4r8MwptnzaXa9HWUCpEuPDq6dgea2az5J0rrU5Wp32IHkBRGtjj88XtvrWZ4fUW2kgci0npG2K3puOCzfdvvsvx2r1d6O+tnSxrXvh47tD4OWr/U+ibtvMHAKwPej4epUV/KDCMdNZyVy3QDb23r+vRaCIB5OfBCGafJ+1w2otd105uueTxgntAZ1Dz+i0Unv8yRJhkF9SOvHQRhd76PumDhOhgkckNZrgvAGjZv72Pa2QxwnO57n4o3lVH8CCEif1+62BrsbJLsrAxJ4/pXN4Y/bn8k3cqNJIeIYVqpbnXur2/7d6Pkk/d2MSYbtcoBa20tje0AYJaxUt56F25/ZtXawoxzZXlZWmw6tbfWFtepWuen6Ecvbfl7Y9p7b2zNXWt7c+YweJElBOnBjUPcPo4RL296z2nR2DHzf7uVLzeG/PT9madt2i2tpwnejk7YL0rZLRBjGrG72rvFuty+N/207Px0P233tyoyeEwwTOACWt527NNZx7y0tf6+w3YCl9Q62d+fjQbYbEoRR2mYmvYejOG2Tu3541XUcxulrBmVMGKextlbPJ4zS2H0YpqtNbzbTtgLAZsMZnv9G19/RTl2t7qz7bjQcOr1geO9tNhx6/esjfe9g+LxrtF1cLyKIEoIw4fJ6F9/f2ufB61aqPWwnhH47vGOn7+F64XCwwqBNLMSrsb2Ndr26mH9FfLd1B2c1vLzR3RGov9VYy/b7C6DVS/uWBgkckLZfr2d7rDuKEi4ut+k5afu93Y8BOP2KxPZ9W1pP+0WCMMZxI9Zr6fOp1fXZaPSG/Yp+FHNprU0Ypu2dVs9LZ3BvuwRhQr3jEyXpcfeCCNsJ6LkBYZQMX9tz0r6rKIqJw3QVQc+PhwOjB/+7Uhyn5UzUH2Qa9c9vFKeJH7YX0uqlA7Zr/TKv2fH6bbOEOE7o9dshQX9A68qmTc8JCaII203jjglpzNAPwfEDnH45VW04NLse/rYBqRHQ7Hls9CfMSMu4mPWmPWxnXbjc2romkrT+AumzpdZyhvUv1484t9Qk7Mccwijh/HKTyxs9/DCibaflcr1fVjY6HnF/hv9q08G2t66RhdUOPSdIY9pRTKebxoGCMGKl2mW90dsRv+300muu6wbDQbEAzc7tlct+EG0NtuPWYidXXsMrN7jeb2T7Zyb9a/WNZHs5kfSTquDa8eErX5/WPWI2Gg6On2C7aaxr8Dw+v9wmihIaHZc4SXD7v3/+fHVYN0gSeP58bfieaXmTXtv1tpveb06AF8TU2m56v8dJOki8X0b0+uMT0hhiGod3vK3BkQBuv04xGKw5iMkF/ctrewIHpHUkEmj10nIniOKr4rU7+wsGBxGCfh+n168vDfpqwjAtGNb7cct42PeQ/tfxI4Io5sXz9f6+pXW4jUYPu79yhh/Gw9VQttftbDckihOWN3v9siz924vn6zvaQC8tpMe61kxjrs2Om7ZBvYggjFlYaXG7OnawY8XlQfzolcXGjvN97nLzpu91t2JO95r1ujNM4ABu2g/d7HjDMrnWcocDijs9n54bEYVpfGG9YdNoe6xUu4RRDP12gRukcXc/iPq/S6+lxdUuYdy/927w+VH86hI4oN8+iSFKkmFbJbzO58ZAFKWvDeNkeI/ZXkit/4wLwojN7c+jK+pq28u6Zsej2Q2G/XiOG7JRT/tJSNLrsN31h+8N/XJze/9bwx4OXoc0DnE3tHv+jvtR+h7ElZY3uzvqlTdqazS77jCBA3bG6ACWt/WBJQmc7yeHQnotrtW3Xr+40sOPtu6R9bqz4zl1+mJj+O8oSjh1fitm2nPCHXXKrz+/zvb5yTt2eq8O+uOfP7ezfrG9ThkD9W1jDJfWd7a9Nhtb5Uac7Hyt3x+3MdDs+tRaW69/vj8J7MClla1YYRQn9LaNU0rYqgcA2E40TJyAtH9x22mi3tz6/nEcc27bc3utau/4jmtNe0ff60pt53l7blscuWcH6THoe/FiDS/Yeq/LG90d3+mlhfrWd7pJPbt7RV/o8sbOa29wTgf1ykEZ6wdpTHV7feBmtpd1wQ1ixEJAWncFdqwGcz2F/qT2nXuwj67VSfdpMHHwtZQLWyuJRNcKkoh71t2dPv919nu/93t87GMfQ9dv/2sHQcDp06dv+rpGN2SjuVW5Kec1VBVsx8Z1YyxVI4kSPC8dEBgEMb1ug8DTGLUsqrWthlcGk9Onrz1bV9eNWK6mgy2qjYDQ0fC6GpWCjt3x6NiDrFeFvB4QhAFJnA4MN7UIx4NYS3Bsm6Kpk/ge7U5I6KeDOy0txt72gNYUoJ/5mSRpVr6uqkTRYLabdCbrOE6wtATHT0BNA6S6kRD5aVBSU9NsWxgmXRLHMZYR4noJKhCikLO0/mDJNMkjjhNMHZx+WZkAOQucIP1OSQyqnuC7Nl4YoyYJYRihq2lwxlQSun6Moai0OwF5Q8cgwPaidOMYlDgkjhRKOZWmHaEa6aBclAjP8yhYGqaW0AnDrdkL+4Mps7pPtVoldDTcrsZIQSexVwFYb/i0ehGENp4XoCQKgaKAp151TW1WPXpujJq4eF6IoUMYgQHUOzEZA1wnwlA0SALiEBw7wTIUVpcusnqNayWOE1bXvWEwt9XY5PTp/uxSQQfHdojidDbo2FdYWlrCKRt47Z33y2YroN7pV4AUUH2LTePu5oN1mw6tZnpRtFotahshp3trN9ym3g3Z3HaP4po01neX1XulyUp22GmjaQrTE/lrvi6X0YeVScvUiJN09smNujNcCnesnKXn+NTb6YxU6SzXShrIv40RXYPZuG/l2awo6f8GSc66rmJoKvsmS/ScgEoxg6KC0n/PjKmha2mWu6qq+FGMnqT/zmd0dF0lbxmUCiatjo9paCiKkg6ITiLiOJ2tRlUUpscK9NwATVXSJbMrWVwvwjJVdFclm9FxvAhdU9FUhaPzFaIwPZ62G5Ix9eGsMwCmke5b2D8A+ezuyv981hieq4ypMVqyhg0yQ9d2LA18PbmMMUwgUVWFjHl715e4PxyaLXNmoYGipnPG6JqCrqvpSjMqaIpCMWdiGiqaujV7Vy6TLiW52XD695AynKUq6fnouo6mKli6hmlqGJqKZWhoqkI+o5O1DHQ9fRplTI2Rco5ayxs23C1TY7SQIZfRsd0Qrb+9oauoajrjJbBj6fRXQ9NUMpaG60WMlCzW63b/fk5nT9M1hWbXRR38rpQlZ+n4gT+cxiqX1dPO1ShGSRe9IJc1CMJ05nBDT+//fFYnY6QzhmcMHT8Ihs9lhf4MsYBh6KCEZCwdXVMwdI1SwURVFXSNtB4Tx+mMW1E6M0aoJChJWu8JSWfc05R0NiClv2TReDlLs9Mla+lkLAPT9ikUNFRNQUlAURJUTcE0DFTPY6ySwTI1kiQhnzXQ1PS7ZCw9nQlMU1EVhrO7Xe+cTI+mzxhVVTF0lUJ/adFc1mBurETG1HD7geNizmSklMHSNbx+B8BoZWejLp81hoENVVXS5ZZLGZzNHrmMjqYpWKaO6Udpo9VXCYP0WgUYK8vSzDeSMXVylj4cuDVWzuB4EaqmoMUKiUra+3eHqaT3Yzr7nEYxn65KpyoaqqpSyBvomkqipDNXxnFC2H8+Z0ydTH82/vFyFj+M+zNxaZi6RsbS0HV1GMQAhqtnaKrSnwXHJJ8x0jLH1PD6sTTL1Pqr2WzJZw1qLZdC1qDd8zF0lUrBwg/jtH6ha2Qz6T2tKgpjpa0Z4jRNGS4LWilYVJsOZr+cGKwUd6fKt2sZvWK2uvHr3A+5jIGibHXy3sosjuL+M1bKDIN7mqYwcp3rwug/j4s5E8PQyJgmthv1V3O68/s1eB5ridp/BiqYpkY5Z9JzAox+nSOXMdDUtD49uFYVRRnWJYB0FtrXYVYjVVXS+r+7Va/RNeUmW92ftrc/BnUf8ca0d6qwY3KS7QsYaCo7OjNvZG7bjHl5Sx/OiHYjmnL9aoeiwGhxqxOjlN+6BrOmTi/qz/yGgrEtBpTLpm3+dP8VyoWtMm/7c7KQMXa0icvbVi8t5Xb+rZTbqq8amspIeevniW2rxd6onT12RZt9+3aTlSydQQxHVRjbvp85YxifudL0WHaY8KFpO7cbr2RQlTQGEkZR2m7ptwlHStfvVLkdqqpSzJvDZ03O0l/TFXIzlobaX+kUYHTbsVVV5bZXDfpukLF0xiuZYYzqTtKU9FqIk3g407GqpDFATdHwg3hHLFBVtmaOTmPzCoapks0YhGGCqib9GIFKPmsOV1cp5s3hPV7KmjvqAyNXzLw4UsyQMTXa/c8p5U2s/iyag2e6HxpsNhwKWRNDU9G0tH4yVs5gbitb8v3ZbcfLmeG+qEq6wk8ha+AHMWZ/1R+pW4s7oXBFXSx/jZX0DE3FNFT8/uD53azqvVvjlexwNT9gR7t3N7KWTi6zFd/JmjqTozl0XR0mYl15z243iE0CoMDsRD5N0FAgZ2n0nK14+/Y40Fg5i+12+vE2hUrZwnVD8hmDct4c1uN1FCYq2bQur0DGNLAMFcvUcfyQrKXjeGH6zEFF1xWCKJ1NO2vpNI2AjJk+j5QkjUlpqBi6guqlK20kKiTR1oR0A6qigJoODlUApb9yqaYoxGrav5nN6GiqSjFnoKmQy6Sxi7SfJMEwNFRNRVfTtlQlZwEKrp/GWb3B4Kz+quimnl4rhqZRzCu4XhrLDPqdvirp81vT1HTCOyX9XTFvofXbWVOjO6+BqbF0FseMqVPMGcPYr6GrTI5mWa2mA7dUBWYm8kxUMij98weQzxmQ9K9tBYo5i1xWTwde9+uH45UMmqpi6BphlGBldAxDRdc0chmTrKWxTNpXnbM0sv0VyUxd2zGI5HbvDcPQdlyztxLPGS1nh6uio7CjnnYrBjGq4c938D6/F+QzBptsDTwcnKtrxYcHr+/1EzpMI11ZolI003iCrqMoDPsmJitZULYGRhn95/T+qRIvXdwa/Dc3uW1lWgWmxvIkCRSzJn7gkjF1EhLyWR3Xj9J4GmlcwjI1LFMnCNNJ3/R+3cEw1OEAdkjL63Qf0r51RU2HAAzCGNoVfaaDGkjO0lH6qwddOYBd6f+fws422yDOqQ/+q6tE4dbqxcWsQc+NhnHBwT6YetoXMDeZxwsSNF1FjRPKhSyGrpDJGMRR3O8vMne0UTJWeuwnRjIol9LViQD2TOaHSSUAe/qrABfzBo2OSz5rEnS9dHZzBabHrt2XvRu5flkyOEiDe2VmvMCZbc+z2V18xt2KOd1rRorWjvjx6E36obfXgQvZredCxtIJfBW13wSpFEziBCrFDPWOB0oECv12vUISQxTH6WpKKkyWMyxu9lCVdIzC9agAyu5jGNeibO/QU0DpDxq6UdxCVZT0nu5/cMbQSPqHQtdUivmdx2W7fFYfDhDOZXTyWY22l97Hlpn2G8b9iaoypkY2o1PMmjS3xXC2P+MqRQtNU4YDlq+MQ7xecllj5/0o7SNxhdEr4lI3Kl8KuXR1m0FSWaW0c8DzaDmzY6KU6bGtmcbzWYNSLn3upa+1sP1wOC7wyntyz0SBxX4ygaKwYyVC01RRFW14fx3bN8LZxebW3/t1gEExsm9mq36hKGkdeftkUMWcMexzqRRNqtsSJK4cP5S19OEYH11TyFpbMZ2MpVMuWMP92jtd3JH0MVKycPrJpIoCppZOqjGwvWvD0JUdq92OFM0d75XJaMSD6o2y1R6ANIbb88Jhkmg5Z+4ok4tZfXgegB0rr1iWRsbSh+On9k4WubTW2Yr7XTE4fGb72Leb1LOz/TrK8FlWzuyoow3Kp0HbrpA1hqur5TL6cMzDbuSzBu3+MFoZiyVuZpCctps25mA1784u+lteb4NxqYOxEddSylvDsqXd83c1tlHcG75rells2+Yzn/kMn/jEJ17V+xiGweHDh3f12o2GQ88JKBdMskZCkpyl5mYo5DIc3lMmjiPOLXcIophSzsA0dA7MFtkzUeD4epeljS6FrM7Jg6Oo6vUbq4fa7rDBoSgKpq4yPZbDDyJOna8TRDEPzFeoFDP8xh+fYXmjS6loMDdexAtCem5AKWfx/W+fJyHmi8+t4bgB5YKFqWv8xdOX2Wi4ZDMaM2P5fhBTR9M0TB267Qbze6cp5LOcvlijY4cUcwajpQxt26PVDTB1lWMHKhj9FqMXhTz/ci2dlS6K0RSFiUqGBw6OUW06LKy1yVoGb39oGpSErz6/ju34TFRy5LMGXzu1SrPjMz6S4W/+4EnOLNT46qk1dE3lLQ9OkcuYaUNOVVhc72A7ISMli4lKFtdPZ+3JZXTe/egsHcfjE5+/iOMF5DI6lqGjKBFer4OVKxLFKkG4dZx+9H2HiOKE3/zMy7R7HkGUJnkc2VfmXY/u2ToPhsr0aG44yPFYnLBWs3n0ZMyzZzdotH2O7CvzzkdmrzqnR6KYtZrNieMBz5+t07F9DuwpMj9domsHtHo+ipJmFbtByPJ6D0VV+N4n55geL1z1fsNr5XDIpdUGa6urPPbQIYqFtMJ14gT8ydcXWdnsMTOe4/j+EXIZncmR7HAJ5IHjScJa3cbz06WXt3e83y3HjsU8c2aNC5dWeOzBeQ7vG9/Vdut1G9sNqRQtRm7wkNvuWklcH3rHQbLfXqTrBLzp6MR1l5/dM1FAVRUcN2S0nEFVFOYmCulgWS9krJTl6P4RPvzWef7gL87xylIDN4gZK1nkLJ1q28Xu2ZxbTle5GS1lQUmwXY+ek6CpUC5mUFXo9Vw03eDgbJFCLkO1abPe6BFGMF7S6bkJOUtn71SJ1XqXMIwIwgTT1MlbOrqusXcqbTgVcwbf95b9TI7lqJQz5DIGugbPn61iWBoffut+HDdgNONh5Co0On6/08XgTUcnKOYs8v0OkJcXWtiuPxwAsFqz2Wj2GCtbHNwzwpMnpvGCkPWaTblgcXC2xNNnNmh0PQoZgyCK+c7ZDQxd452PzvL4sWnW6zaVooXjhZTyJlOjuWGAT9dUjs+PsF63UVWFPRPXvz+2mx3PoygMz9XJQ+OMljI0Oh6H5yq7Wsr3wGwZy9AIwpjJ0dxr0mkv7h1/7ftP0nF8XrpQQ1d89s6Oo2oa06M5Or2AmbE8Y5Usmqr0OyYSRkoZygWLx49Pomsq7Z7HUw9OY5k6R/ZW2GjYuH7EQ4fHWK3aPHp0kri/6s2eiRxBmPDAgTE2Gj2iCN768AxZU+PY/hFWqj2SJGF2ooBpaPzo+47wtedWUVV48OAoqqqxb6qYdnZoCrO7vDd249j+UVY2u0yO7mV+usR63WZ2vMCeyQJJEnP+cptGx2X/VImJ0Rz754r8xh++RLvnc3C2yORYAVWDVxYa2F7E0f1lTE0nl9GJ45gwgoNzZTRV4di+Mc4tN/qrSLVYb9iUCyZBlHZa7p8p4nkxb3lwmjhOk9OOzI0SJTEHp0s8f6HGAweg0U5nJyoXDFrdgJylEUUBXqhyZG+JJFF45Mg4L5yrkiQKb31ohtGSyXjeZWZ2Ct0w0mQyJ2CsUuSL37mMqsDjx6cxDZW5yQIz44X+oBoFP4j5gXcdTJ/1+0fRNBXXD3nrI7Npoo6Z1rmu5eThcdwg5MJyi0ePTVDMmsRJwsNHJijlTP7uj72J//K5s2i6wk9/+ASFrMmPvP8I33xhDcNQ+Z4n9u54v/3TJQw9HYQwMZIlY+q84+FZvnOuiuuFPPnANF3bp5AzyZkJFy50mZ7dQ9dNGK/kODF/by9tfrepqsr7ntrHqfNVNEXhB965n89+4zIzoxm6bpQmRSYRF1e6tHtemgBNOkiwa/v0nOims1llTJViRsUwTcbKFhsNl5yl896n5jB1nfFylqyl07EDbNdHUdLBE+t1hwSYHs2x2XKot1xUJQ3mFXMmhZzJw4fT637PRJ7RUgZNU8laOpWiRSFrDJ+vDx8e54ULVWYm8pRyJlOjeWb7gb3j86NcWIrpNHSO7i1ftf+DDsNi3uDyRpesqfPgwTFeulhjab3TT0ayuLjSplywePcjs5xZauJ4IUf3jQw7h9/z+BzfObtJGMbMTqQdwLmMsSOIfKftmSjwtodnWVpvM1rK8NDhiWu+LmvpHN03Qq3l3vD+Fm8MT52cwTI1HC/kyN4KpevM7KKpCifmRynmDMZKFitVm7btsVrtsdl0aHec4Yyu22douhYV0PV04oI0eUvB9dMBB5YBjx2dpFiw2Gy4GLqCaWhMVHKcODBKEMY8EEYoqHhBwOxEEU1VKObNHXXnY/tH+jPbJ8yM569qJ75Wju3bWa95vT739XZl++O1TEATd9c/+Zvv4L//N19keaPHnsk8P/m9J/j4n76MqsBf/+gJfvX3T1FtOByeq+AGAS9eaALwE+/dx9dO12m2PR46NMbf/iuPsV63MXSVX/o77+Sf/to36NoBT56YYqPR44ULdQxN5f/xM0/wic+9QscJ+cBTezmzUOc7Z6sU8gb/lx84yr/9g5fxw5iPvn2e4wfGePlSg6nRHD/9oeP85z87SxQlfP87D/KpL5/j5UtN9kymS9v/7ufPEScJP/w9R3jpQo3FtQ4H95R5+Mg4X3tuFU1TeM/jezi7UOPFoMlTj+7h3U/u47N/eQnDUPnx7z3KyqZNq+sxP1PmHY7PV55bIZ81+OBb5vnDL56j0XZ528OzHJgtc/5yk0LO5MEDY2w07Ju2s+emijue0cfnR1nZ7KX15sPjPHd2k0vrbfZMFHjoyATPv7KJqqR1muv52LsOomsqq9UeJw+PcXz/KC9drGMZGg8fGafR9shn51it2nh+hKapjJUzPHJ08o5fRx94ai/fOVslThIeOjR+w7jxq5UxdY7tH2Gz4WAaKlOjedZq6aqLkyNZLIl1XJdlaLzn8X2YusaXnrnEqYstkiRNtCjnzf6M8DE6aXzXD9K/qUqaTBFGEa6fJnsV8watXoCqKOwZz/PQkXH8IOL85Raun7blClkdP0iYGc+hKQpfem6ZVtcllzE5um+EcjHD+aUaHTtifqbIOx/ZQ8cOeOVygyCMKWQNju6tcOzAOItr7avuCdPcii0M7vHtygWLD75lP8+e3SSKYh4+PIGipLPCT/SvlcmRXDpQM28yM55lpWozPZbnHY/MpjPudz2KOZOJkTS2OjNe4ANv3s8zp1cYzbi86eQME2Nl8lmdnhOia7uP9QlxI4P6re0GjJYy15ydUVUVju8fZbWWDmycvc5ETrfjwGyZIIxZrXaZGMlxbH7klrY3DY23PzzDixfrxHHCsflRxkoZ3v/k3uGz6k1Hr91eBYaxyY7ts3+6xL7pEsW8SbGfiBGEUf9e3hkH+sF3H+SLTy9jeyGH58rkcyaOF5KzdI4ffIz//LmzVBs2jx+b5N2PzfHtMxs4XsTcZH44qEpVVfwgpN31yefSe1tTlTRWavuMFDMUswYvLdTZP1Og0/XRdI2Z0Ryd/urcjY6N79kcmJ3khUsNqnUHTU8HhecyBof2lujaIUvrXQ7PVXjs2BjPnK2jKQpH91VATQexzkzkqTUdgiji5GGbF87XyFkGJw+N07UDel7I1GiOdzw8w4sXalxaa2PpGosbbS5cbqHrKo8enmJ8NO37KeRNJspZNpsO+y4VOXOpRqvjMzuR56NvP8j0aJ6Pf+4MjbbPQ4fHePDgGIurHSxL43ue2MvSeoeNus30aIGDc2VWql3iOOHovgoLK202mg5zkwWO76vwyS9fYHmjy4OHxnnPY3vJmDrveXwv5y832TddJJ816Ng+5bxFxtKZGs0zPZbj8J4yryw1yVo6Dx+ZoNZ0GC1l6DoBpZxB103P58OHx/HDGEuH8wsOb354HjRzGJsp5kzW6/arKpcHbeS1Wu+W+nIAHj0yjqqkg1r2z5SYGr29WNAgRpVOZmbdcIbT+9HkaI6EdJbkStEaDv65VnwY4Oi+yrAOPTOW7w+2M3nnAwXqQYk9kyWCKKZSzPCD7zhAhEK1mWGsmMH2QkZKGR46NMZnv7HApZUO+2eLfPDN85w6X6PZcdk3XWL/dImVapdSwWS9ZhMnCSNFi3c9uocvP7dMq+vjuAH5rMn7Ht+LF0U8e3oD2wsoFzMEYUTO0lmt2XR7LpqmcWC2RLPro5DQ6HpkTYNOLyCf0ylkDGYnsnz1ubU0TqqqlPIWs+MF5mdL6YoYrscLFxqEUcxIKZNO1uWnq9JohkYUxWgaxBGMlLLp+AJTJYjTQdybDZsgipkaK/DRtx/kNz/z4nASr8mRLK4XUypaPPnANG95YIrPP7tM1/bZP1VktJwlSdLVw6tNG8vQr2qjZEyNuXGTsalxCrkslzc6jJaz/NC7D/KdV6pcWG4xM17gnY/uYa3WY7RkMTdZxA9CNhoOuqby4MEx5iaLV14iu5bPGhzdO0Kt5ZC1dGbG03vnqQenCeOIy+td9k+VeNOx3bWFju0f2brWXseY072kUswMy+1cRufRIzc+dqOlDAf3lPtt6hLVlsNmw+bhQxVeOXeBbHGMQiHL/pkSI0WLo3MjfPabl1ivdtNJZ0pZpkZydB2PV5bbaKT9bm85OcsL5zf51ktr+GFMMaMRKwq9XkiUJGQtjfGRtIxttJ1+4pNKFMX0HJ9EUdBVjXYvXW0ra2mM5DXWmukqVQpQKlgcmM7jhjF+AIWcjko6+SP9hJL1pku356Oq6aDp/dMlcpZGte2S0XX2zpSotx0mR9Ln8nLVJmPpHJot0eoFGLp6Vb/nobkKK5tdojhh3+QszzzfxshNgKYxO15kYiRLreVguyFj5Syz4/n+xJTpc2GklKGU36ojlgsW73lsjleWdnfOXiuFrMGRvRXqLfc17w8R96fDcyNEIazVu0yO5ji67/ptjYyp876n9nL6Yj2t217RhnjgwBhJAtWmzZ6JAgf2pPfVIEY0N/kwn/naAnGS8OG3HeDZM+t85msXUWKff/jTT2LHCssbXUbLWU7sr/CpLy+wUU/jbG89OcvyZpcwSpgey6EqyrDt9aaPPIAfxnzjxTVyGY2f/f6TfOPFNVY2uxzaW+avffgkq7Uenh8xVs7wj//Gm/l//c4zxHHCj3/gKHOTRT73jUUsU+PHP3iMX/vDU5w6X6NctPilv/UW/uyZNVY3uhzdP8KD8+P84q99jZ4X8d4n5njqwSl+49OniRP46Q8fZ6yc4+xig6yl81eOHuP3P3+WFy/U2DNV5Gc/cpx//8mXWK/1eOLEJMf2lfnl336WIIr5yNvmGS1n+E9/ehZVU/iFH3+MatPh6y+uMVLK8FMfOM4v//Y3OHe5weG5Ef7ujz3Br/zOt2l2fN7+8AwfePM+/ujLF4mihA+8eR+La20++aWL5CyNn/vhh/jGi2t858wmU2N5fu5jD/CLv/Et1jZ7HJ8f5ed/7DGeO7sxrLvnssaOWOiB2RKf++YSpZzOz//Y45xfbgzrE29/eIbnz1V3Vc/OZYxhX2jG1Jgey1NtOXR6PqW8NUwAMQ2N4/OjmLrCs2c3yWcM3vHoLOYtJGIcmC2TRAGtusbRvWUZiyWuK0mS4UrB2yeovJ5i/1nfte+9lTgGq4zdqJ2qqQqlvEWz69HsepLEcR9RkuTV5EffP37/93+fT3ziE/zO7/zObb/HqVOnAHjooYdueVvbtjl9+jQnTpwgl3vjVJzle91/3qjf7fX6Xk8//TSmad5WOfBG9ka9ru4mOaZ31p08njcqB74bz9t343eG787v/d34neH631vqBLv33XrtvFbkeN55t3tMn376aQzDIAgCOR+vklzXd44cyztjt8dxe31Ajv3V5JhcmxyXq93vx0TqBK+t+/36uJfJsb1zrhUjkOP7+pDj/PqRY31j3w2xQrkG7j45B3ffzc7B3SwL5PrYHTlONyfHaHek//Dm5FraPTlWt+ZeP15v9HLgXj/+A7Yb8GP/6DMAfOKff+SmK1rf6utfTz/9P/4JjY7Hv/q/vYeDe9KJM691Hv72L3+eS2sd/unPvXXXSdXi1bvePbHbfIPvmrUIf/d3f5cf+ZEfudu7IYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEOIO69rpKhy6pu5qRemspaOpyo5t7wVxnNDqpauDlAtXrx673WDFxcHKHeL+cO+kC73GPv7xj9/tXRBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgjxGug6aSJGMWegKMpNX68oCsWcSbPr0bF9xivZ13oXd6XrBMRxAkApb93wtZVCBoCWJHHcV75rVuIQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEII8cbUddLVKwo5Y9fbDF7bsf3XZJ9uxyAho5A1MPQbD/cvF9OVOpodSeK4n0gShxBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQoj7WtdOV+IoZM1db1PMpa/t9Le9FzT7SRzlwo1X4QCo9F/TkCSO+4okcQghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYS4r3WdNBEjn939ShzDJI7evbcSR6V48ySOkf5rBtuI+4MkcQghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYS4rw1X4sjtPolj8NqOfQ8lcXQGK3HcfEWRwWodTUniuK9IEocQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEKI+1rXSRMxCrewEkcp31+Jo58Aci9odtPvMUjQuJHh/t9DK4mIm5MkDiGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBD3teFKHNmbr2AxMFiJo3svrcTRX1WjnN9NEkf6mrYkcdxXJIlDCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghxH2t6/STOHK3sBJHbrASx72TBNG2Bytx3DwZpdhficP1I/wgek33S9w5ksQhhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQ4r42WE2jkN19EkdhmMQRvCb7dDs6/VU1Bvt2I/mMjqoq6Xb3UCKKuDFJ4hBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQghxXxuuxHELSRzF/qod91ICRLefUFLaRRKHoijD17V79853EDcmSRxCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQggh7mvDJI5dJD8MFAcrcdxDCRAdZ7ASx+6SUYp5SeK430gShxBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQoj72mAFi90mP8C2JA47IEmS12S/blW3vypIcZfJKKX84DtIEsf9QpI4hBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQty3kiSh5/aTOLK7T+IYJHyEUYznR6/Jvt2KIIxxvHQ/irtMRinJShz3HUniEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCHHfcryQOE5X0ijscgULgKylo6oKwDAJ5G7qOmkihqJALrO7JI7Bih2SxHH/kCQOIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEPetrp0mYBi6imVou95OURTy/WSJwXvcTZ1+IkYhawyTS25msBJHR5I47huSxCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBDivtWxt5IfblUh10/icO6BJI5+IknxFlYTkZU47j+SxCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBDivjVIwBgkZNyKfD/xo3cPJHF0+8kot5LEMViJo21LEsf9QpI4hBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQty3hkkc2d0nPwwMVu/oOnc/CWKwEsetJKOUCrISx/1GkjiEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBC3Le6/eSHwaoat2KYxGHfAytxOLexEkf/tR1J4rhvSBKHEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCiPtWb5j8cOtJHIPEj55z95M4bmsljrysxHG/kSQOIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEPetrjNIftj9ChYDw5U47oUkjt6tr8RR7CdxOF5IEMavyX6JO0uSOIQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEELct7qDFSyyt74SxyDx455I4rDTJI5bWYkjnzFQlZ3bi3ubJHEIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEuG8NV+K4jSSOfH+b3j2QxDFIRindwkocqqoME1HaPUniuB9IEocQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEKI+1b3NlawGBgkftwTK3E4g++x+yQOgFJ+kMTh3fF9EneeJHEIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEuG9trcRxa8kP6Tb3zkocnf5KHMVbTEYp9pM+Bit5iHubJHEIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEuG8Nkhfy2VtfiWOwzWA1j7tpsA/FW1yJY7ACSUeSOO4LksQhhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQ4r7VddLkh8ItrmCxfZvuXV6JI4xibDcEoHCLSRxbK3Hc/UQUcXOSxCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBDivhTHCb1+AkbhNlbiKGTTBAjXjwij+I7u260YrCaiKLe+osjge9/tRBSxO5LEIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEOK+5HghcZL++1ZXsADIZ/Thv3t3MQmi019FI58x0FTllrYdfO+OrMRxX5AkDiGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBD3pcHqE6auYhnaLW+vaSpZS9/xXnfDYCWO4m0kohRzxo73EPc2SeIQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIcV/q9lefKPQTGW7HYNu7uhKHc/vfQ1biuL9IEocQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEKI+9Jg9Yx89tZXsBjIZ+7+ShadXpqAcTsrcRSy/f2/i0koYvckiUMIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCHEfWmQuDBIZLgd98RKHP0EkttZiaOYGyShyEoc9wNJ4hBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQghxX+q+iuSHga2VLO5eEsQgAeN2VuIYbNO5iyuJiN2TJA4hhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQ96VB8sOrWYkjP0ziuJsrcdx+Ekehv43jhYRRfEf3S9x5ksQhhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQ4r40SLwo3Ebyw0Ahm27bu4tJHIMVRYq3saJIflsCy938DmJ3JIlDCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghxH1pmMTxKlbiKOTunZU4bicZRVMV8hl9x/uIe5ckcQghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYS4L3UHyQ+vIokjn+kncdh3P4njdlbigK3kj7v5HcTuSBKHEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCiPvScCWO21jBYmCwEkfvrq7EkX528Ta/xyD5Q1biuPdJEocQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEKI+9JWEsftr8QxWMWj69y9BIjhiiK3uxJHtr8Sx11MRBG7I0kcQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIe5Lvf4KFoNEjNuRHyZx3J0EiCiK6bkhcPsrcRRkJY77hn63d+D14Ps+/+Jf/Au+8pWvYBgGJ06c4Fd+5Vfu9m4JIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEeBUGq2e8miSOwba9u5TEsT155Ha/xyD5o2vLShz3uu+KJI5f+ZVfQVVVPvvZz6IoChsbG3f8M8IoZq3WI44TpsbyWIY2/NtLF2u8dH6DdqtLfrSLH/b4ztkNdE3lw+84QDFr8JXnV2m2XR48OMbhvSN0bJ96y0VRIE4SXD/i/FITPwg4v9zGD2JcLyCMoZjVyWYMuo5PveWRJOAHATEJnZ5PEkOxYKGpKq2Ohx/FaBpoqorvBXgBxLv8nllLI4kiEiAKIRz+5TK6BkkMqqYQhQkoECegqRD1P0ABHjxYxlRDvnOuR9z/nWmoWIZKpZgha2nsmy7h+SFrdZs4CgljIFHoOj5BlGBpKqquYuoqlqHjBiH1poNpaDx2fJJCVuPCSgfXi8mYKigqpZxBxtJJkoSeG2IZKiNlC1XRUBWFOI4YKWZRVYWvPbfESrXL1JdazE2XcX2fasMDFMIoIEkS3ABIEuZny0yP5bm82aHR8hgrZTh5eBw3CFnb7BFFEdWuh47KT33oGMf2j/ONU6us1XtomkIUJQRRRKcXoCiQxDF+mPCdc5sEXsDR/WNMjOQ4vLfCvqkSipoe55cv1fnSs5exTJ23PjhDqWRx8uAouYzJ6YUazbZHuWCRzxrU2y6La21MU8XSEpaWuiy2FtENg0NzZfIZM/3spH9CEnD9gEbHJ2NqnDw4Tgy8cL6K74eMlXOYhjrcl2LeZLSUGV4Nthvy4oUqYZQwMZLF0FUmKllyGYNGx6Xd9clnDcYr2eE2URSzWusRxQnTV9xD9zPb9XnhQr1/7Y/zH/7weVarPR44MMZTD06h6yprNRvHCXjufJUwiJkay7Fa7eL7EZmMDknCucUmPT9kpGiiqjojRYuNeg8/jDHUiFonJE4ga2qMljKMFFReWuzgB2AZCkGQDO9zDUCBKLl6f3UFUCGM0p9VBbIZDSWJ8cKEKARVg5yV7pftRoQ73ufydY+FZYCh6yRBiJdAHKdlxJWyBlimTiGjsNYM0nJFSfc5b6lMjucxdIPVWg9dU5gds1hYcVBVhamxLLMTBeIkodl20TSNA7Mlak2b8ysdlASmxzOYuo7nx6gK5LM6PS/9nPnZCvumi5QLFsWcST5j0LF9NpsOa9UO9ZbP9FiORIG1Wo+9kyVOHBhhz0QRVVVwvJCFlRZdJyBr6hRyBiOlDOWCdY1rI2Cz4WAYKhOVHJsNmyCKmRrJsVrrsbBc5/JlG7PYwrBcClmD6dEc1ZaL50eMVbKvqsIp7rzv/3ufHP47Y6wA4Abpnacr8NDhcXRNwQsjmh2fuYkcCSqqElJt+bR6AeNli3rLQyGi58V4QcJE2aLnRVgGxFFCFCu86fgkhayJFid88fkVgjBiz2SBdi9gciRL1kqvjTiO2Gi4HJ4r8/iJaVRVYaXWpd506fQ8vn16HZKIfdMj2F7I5IjFRsMjYyQ0uwG2HzNesqi2PQoZnXxWJYpUFtdbOH66pNv8bIGe7TL6lRaNXkjJMmj3GxTHDozgehGTFYt6O8AwVM5crNKyQywNOk5EksCJ/WX8CEZLJqs1h1xGJQwj/FDhiRMTjJZy5CyD8ytN/CCi3nJYWOswWrY4OjdKGMV0HI/L6z0KGY2Vqg3AAwdGiRLo9DzOLjZRVYXDswWCWGW8ZLBad9G0BFPT6Hkxk6MWG3WPQkZFU8EPFUxDZaVmQ+hR66Xnd89YhkopQxT0UL7aIUkURkom1abH/EyBg3OjaKqCH8XUmw4ZS+XF83UsU2N6rEDP8ZmbLNBzQ7KmxljZoutEjJUz1FouuYxOveXiBhFvf3iWw3tHdjwnF5ZbXFhpUc4ZbDRd4iThseMTJLFCQsIzZ9J65nsfn8OyDGoth688t4xlaIxWMnR7AY8dn+SRI5PXvJajOGG91iOIYjKmjuuFZC2dQuaaLweg1nLo2gGlvMlI6QYvfINrdT1OL9TRNYWHD41jmjprtS6f+8YiPSdgqqLzu1+8hOMG6P01Ef3w2s/kV0sDND2dJWLvVBFd01irdVEVlSdOTDM3VeDE/Cgz43n+7FuXWN7okcvoTFayKIrK+EiW2fEC//4Pn6PR9ji4p8ieiRKH9lZ4+vQ6YRRzdN8IB/dUmChbfOX5NTo9j0ePTlApZmh2PLIZncmRHADnV12eWTwLqsbx/RUOzFSYmyoCDOvGh/ZUOHl4/IbfK44T1uo9enZAnCTkswYzY3k07e4sMtnqeld913bPp9F2yVg6xZzJixeqJMDJg6N0nRDHDakUrWvWD+60MIpZrfZIkrSObRoavh/y/Pm0rn5ifvR12Y9b1Wi7tHs+hZzBWDl71d+DMGK12kNRFKbH8hj6nT//YRjz4sUathNweG+Fif75vROSJGG9btPsODxzZpNzl5s4vk+3G9Lsebh+RBzHKCp4d2hylKwBmqaSMQ0myhlUNcYJFVQS6h2XKEoo5k0OzFT48e87RqPlsrDSZm6qwOPHp4fvM3geBWFax2l3PVo9n1Le5OTBcfT+ubi40uLSWhtNURgtZ8lldEaKGSrF9Hpbr9t0ej5BFFPIGpSzylX73Gy7/Ok3L+GHEe96dC/5rE6j47G82YUERksWY5Us06N5FAVWqz2WNjqU8iZ7J4s0Oh7Aa3aN7MYgthMnCQppsDefvX4b4bXgBxFPn1mn2nQ4vG+EY3tHUNWrj7e4s54/t8nF5RYz4wXedGyStVpaFs+M5/n5X/pz1psOU5UsP/2RB/i1T72Irir8wk8+yn/3b/7ymu/36CGLUxc8ogQqeZ3RcoYLK10A/s6P7uM/fPIyXhBzYr5CEie8dKmFpsLP/ch+fvW/XALg4GyBMEpYXO9haPA3PjTPv/v0AgCPHxvjzKUGPTdGAX74PQf43b+4mH724REW13vUOz55S+W9T8zxR19dBOD9T8zyledXcf2EfEbjY++a57/82XlQ4O/+2MN85quXuLzR5rEXA+b3jPAHXziHYWr84n/9dn7549+i3nF54vgU06NZPvO1BSxL5+/9xAP8T7/+PLYX8tTxSR46MsGff2uJ0XKGH3zfPv7Jv3uaMIx5xyMzKKrCt17aoFKw+J//1jv5t7/3LI4b8kPvOcyfffMSpy7UmB7N8ff/6hP89h+fJowS/soHDvPVU2ucvlDn8FyFdz+2h9/6zGkAfvb7T/LV55c5v9zixMFRHj82xae/fAHDUPnh9x4hjhk+x5Mk4cylBqahcfLQOOa2cubsYp2vPrdCKW/ywafmOb/aGj5P2j2fZ8+ssr7RIclV+caLNaIo4XvfvJ+Z8UJar7B0xsqZYf1/ajRHxry9MH616dBzAkoFk5Hiznr6Rt3G8dLvYxoaGw0bQ1OZHM1RbTpp7KGcoXCDmb5Wq10WVtoU8iYPHhhFVd+4C39fq953I64fsrDa5gvfXuTp0xtsNpxdx+BfD4YGhqbgRwlJDLoGxZxBGCVEcUwQQkxM2O/jMwyFQtbg6P4RHDdkca2DoavsnyqiqipLmx0qBYunTkziBgkLKy3cIKDZC6jkTB47Mc3huQoXVpqsrHfouAGuH5O3dBodnyiOmRyx8AOYHs/zxIlJXrpYJwhjHjlUodbxeebsJlnLotH28MKIE/OjrDccNmo9Duwp8/DhiTTe1nQwdJXp0fyreua1bZ/TF2pomsLJQ+M3vA/Xamk9JGcZHJgtkctcO2a3PR44PZon6W8b9mOCGeu7osvuu0YYxlxYc+kkG+ybqaCpKrmMwcTI1W2c7aI4ue51MWhvZi2dydG0LBq0+5odl4XVNrqu8daHZqj065vbYza5rMFarUej5dB1Q8p5k7nJAueXW1QbDqW8CUpab90/U+bovpHhZ59ZqPGt0+sUsibvfXIvqqKwvNFhaaNDremk7YKciaYqLKx18PyQOE4YKeco5DRqDQddU9A0jSCMUVWFjJnGxm0vRFcVThwcx1DgE184S73lcXBPhVLe4PxykzhK+87SZ1RAGKX9BpqmkiQxlrWGpmokSQIkJHGC40X4YUKS7OwHNTXQNIUwToijtG9M06CYN1CShEYnJCaNfZbyGrYXEYRp95kCxAqUcjqeF+JudZSStVQCPwY1fZ2hq9he+skZE1QVPC/9256pPHGSEHgRSr+smhjN9vtdYmotmzCKyWV0cpbOWs0mURT2jBXwQ59aOyRrafzQO/fy8rLNykaHjhNhqAqOH2BoKh96+zxRorCy0aXnhEyNZCkW0v7AZsfn/FKdi6sdspbBf/NXHuZbL61Tb7mMlTJMjeWJE9g7VeThwxN84elFvv3SKmpoo+QbfO4bL+B6Ydp3OV1iYiRHKW8yNZbn2ZfXWd7ocmBPeg2dOlcljhMePDhGx/ZZWGlTKlicmB/ZUXdYWu/w+W8v4gcRh/ZUmBjN3bR+cXGlxVq1x8RIlsN7R675mmbHo9X1dnX/3Uwcx7x4oUbXDjg4V2Fq9M7FCm7H4LkXBjGqppAxdaZGc6xsdlla76DpClMj+av6ZE8v1Kg3HfwgJmPpzM+WmBkv7HjvK2NKfhDxzJkNLi32MAtNsnkPTVXp2QEt22O91qXZ9inkTR4/PsEXvrXEhdUOQRBRLlqomsLMaB7bCdANeOl8Ay+MKeZ0Rksmpy80iUl47PgkDx+ZZHG1Q6vrcmmtQ9dxaXV8YhSyRkIUKXhRgq4oHJzJ0nIVHDek0faG9/qgBjA1liWKYiqFDAkJOSPhzFKHIIQE0Pr94tEtHHct3QTY3RiLrKUR+hFBfyMVMHTIZVSiWE33VYWMoTE9lieMIs4ttUiA/dMlKqUMh/eU8cKYWqPHerXOxAs+XTfG9Xz8IMEyNRQUpsfzhHHMWClLtV8nsgyN6bEcjh9jmRqBH2EYCo22TxzHNLoulqHz1IMzzE0WhjHE7QbXWhBGaKpKp+fTtX3cIMYyVQxNZWo0TxBFGJp2S/0E14pf7sZu6ueDGNxu2ja3YrPl03lpg6nxIifmx+7Ie0Jad3jhQhXHDTk4VyaKEi5vdGh0fFarXcbKGR6YH+EbL66zUu1hGPDyQgvHDSgVdIIgwXZcrD+t0rVD2nZ48w99Ffq3D5DeSwppX4empM9ARYnTsUjbrn3U9Pmd71//cRySxBDEoGkaeUuhVMxSKaTnyvEjOj0PU9M4eXSCsWKGV5aaGLqK4wWomsJY0WSj4eEFEfunihzaO4quwspml0trHcoFkxPzY1RKGXRNIQoDmr302ARhOs6r1fXImGm85dxSk9Vq+hybHsvviOcP2xuayvTYzvZG3K/DBVHMSDHDuctpn+bx/SNUinem32zQPxIEMRMj6fib5c0ui6ttykWLBw7cuevx1Xij9BkurLZY3ewxVsnuqBffjjhOyyM/iIbn7kaW1jtcXu8wWspybP7Gn/2pL53ltz7zMooCf+8nH6HjxHz+25cZK2f42z/yEH/3X36RtYZDMWfwf/6BE/zH/+Msthvy1pPTPHpsgn/528+SAB96yx6+dWadzWZ6f3zvE3NcWG2zuN6mlLf49X/8ffz8L/856w2HQ7MlfuIHjvH//P9+nTiBB+bLvP/xOX71D18E4Gc+epwvf2eV05daAPzoBxX+4i/X2GwH5C2V//Q/fz8/9g//CMeL2TuZ4+/88OP8o//tK/0Y2T7iOOJPvrEMwM/+wHE+95eLLG3aKMA//msn+c3PLrDWcJgdz/OP//oj/K1f+RqOH3F0b5lHj43znz53HqX/nZY2bU6dbwDwD3/sCX7z8y9xedPG1OFf//338Y//16/S7HocmCnx8z/xJv7h//JVXC/iPY/t4dhcacd3evFCg6+/uI6hq/zzv/N2/uVvfJuVmkMpb/Bb/+TD/NJvfZO1qs2TD0zx/ifn+aXf/iauF/Ij7z1Co+PyO589i6LC3//JR/jis2t846V1Clmd/8/ffRv/5vde4PTFGiee9/gHf/Up/virC9TbLk+cmGKkbPG//+ELhFHCT33oGAoqf/L1BbIZgx//wHH+7BsLfOv0OjPjOX7+rzzGP/xfvsRKzebk/Cj/7U8+wQsXqrh+xOG5MrYb8J/+9CwA/9X3neCli1U+87UFSnmT//bHHmNxszOMaz/14Fbf0LV4QcR6rYeqpn111abDxeXWME7Y6Hh07YBi3mSkaG09kytZMqZ2W89/ANcN+dSXL3JpqYlVbnHy8N2tk4t7Sxwnw8SLV1P3G2zbcwLiOHnd+9UGSRz5jH7b4yAGK3HcrdVExO4pSRrNuuf84i/+Ij/1Uz/FwYMHX9X72LbNu971Lr74xS+Sz+df1XudOnWKJEk4fPjwVX87u9ik089aMg21H1RSuLjS5pNfXiAIAjZqXY7Nj3Bh1SGKYixTZ6Rk8vDhMU69UgfSAN5H37GfZscnjGIW17uU8ybPnK0SBDGL620cPyKOEsI47WwJI8jo4Ly2bbDXldEPnirJ7hNMtjN1dTioJCFtECZAzlJw/ARdgzhRMHUVTVcggYyl4/sRCtDsbRVeugJhkp6b+Do7k88o2G46KAMFKgUdL0jQVZWuG/Q/W8cyNH78/Qd45uUGXcdnpWozWjRYb3jkMzptO8DQVdo9f8fg9rnxLCgq73p0Bi+IsHSFT351kSROCKOEXEbjvY/PUcgZzE8XeeFCHc+PqHc8DswUePaVGllTo9pyKeV0mu0eupE2NBPgzScmqHcCJkcyrNcdxsoZTi80yGf0/sC/AkEYsVZz6Ng+rh9xbP8IjbbL3GQBy9A4tKc0HJDzJ19fpNX1aXZ94jjhiePjGIbGvqkCF1c6w++1f6bIeDlttJ1datLpH3fDUDnZv4d2y3EcFhYWmJ+fJ5t9dUHYGzl9+jSmafLQQw/d9LVxHPOpL18YZjR+88VVqi2XMEqAmEePTlLMmdhOwJlLdRwvJOqf04T0eoqj27sHvpsZWnqvKmp6bytKWl5CP1GJNLlMQRkmyimK0u9AUjm4p8xoKcORuQpeENNzAjYbNqcv1SlkDdo9H8vUMTQFTVV4xyOzPPngDHuninzzpTUuLLfSAWlhzJG9FcYqWR48MDZcag3SgYfPn6sS9UftOv0B0gD1tstG3abW6rG2UWfP9BjjIwXmZ0oEYTQcnK+qCicPjd32QI7vNrZtc/r0aU6cOEEu9+oacU8//fRV5cD2BI4b0foJVIMEx4yp4gUxt1Mb2z+d49KaveN3upo+Pw0NFCUdHJ41VYIw4eDeMjlLZ7VqYxkJi+vOjm0NDYIIdJXhPXOrrvWsHCkYtHoBGUvFdq//xlcem8H3iZOEE/Mj/UY8eGGQPnP7yYe6mta9bC/G0BWCnZllFLIqXWfn5w6+q8rVZez277CbYzF4UiX0k+bChKmRLPmsSa3tMF7OcmGlhaGrhFEMicLESIZ622NqNIcXRCiKwtxkgcW1DvumiyxvdIgTGC1lsXSVX/iJx9ls2bS6Pq8sNfja8yvkswYLK21MU8MyNMIo4Xsen+UL315GN1Q0RSVjqvyf3n2Ej//pGRRVoeP4xFHCvukSqgL/9cdOXrNz89zlZppE4oUsb/aYny2iqSoTZZ36+qWr7qNay+H85dbw56P7RoZ1gjeC65UfV5YFfhjzR186h+OlXX6To1ne+/gc//w3v02j5dLoelSb7l35Dlcy9TSY9v4n97HRdDh/uUmj4+EHEcWcSaVgcnTfCF98dpmu7eH3exjnZ4rp90sfsZi6yg++6zAXVprU2+lg6SRJeOKBaUr9wMa+6SLVRpt/97vfIcbA9iNmx/I8cGiMD755P2cXG3zluZXhvv3gew5z7AbB8IsrLdZrNgurbeIkYX6mxFg5w7H9o6/dAbuOru3z0kJ92FO1f6ZEMWfw4oXasFx/Zakx/HeSwLH9/e+mwAPzo7cVPLqVZ9qLF2rDQJVlajx8eJzPffMSG/X0GZC1NL7/XYd3DDy921pdj5cvNYY/H9xT3jHQIEkSTp2v4vbvtXzW4MGDr65z6lrH9C+fX+H8clq2aZrCR95xcHhdDzz99NMYhkEQBLdUx1hca7Na7fFn31zkzKU6thvi3+7D9w6zTJWZsRxj5dywfvr+p/YOEznOXKrT7vqsVLu0ez4b9bQuMjmS4+CeMu94dA9L6x3+/FtLbDZsbC9gpJDhwFyZqZEcx+dH6do+lze6LKy28cO0czVrKSjO2vA4BmHEv/3d51jeTDMoTUPlvU/s5dxSi1rLIY4TshmdNz84zexEAV1T+fbpdXpO0K/bq+yfThOtcxmdk4dunCD2WrDdgBcv1PCDiIXVDpqqEEYxI0WrPxhpZxvhjn3utus5k8nyZ99c5LlXNomTBMvQ+L63znN8/vUvM+83uy1rt9cHBtuo+Rn+9JvLw9fMzxY5MFMB4N/+7rPU2juzswahj2tNcnC/U/t19mt9te316Gv9vP11GTPtxHP86w+tUtjqlPD8AD/cek9dg1I/I9nz0wCqoqR/DYIIo99JGMXxsM0dRSGGrmP129ylvMkPf88RAPwoZGG5PdzrPRMFvueJvQCs1br86//y3DAuWcjpHJyt9Pc/YLPp4rkB1XobJ1SJE7AMDVNT+YF3HaLcr0cHYYShp/tlGioPHZ5Au8WOoo2GzcJKe/jzsf0jwwSy1WqPpfVO/3snJEmC3u8MCsJ4mPymKPDQofFrDixvtF0+87WLw7rO8fkRnjhx487d67mTbfbXQsf2OX1FvW/7oM0r6wRWJsszZ9b5/LcW+ctTq69J0va9RiG9XlRVoZg16LoBYb99rqmQyxrMjufo2CEd28d2A1SFdFC0kpYXcQJZS8cyFUxdp1ywUFUVy4CC7jMxMc6FlS5+GDJSzOJ4AUmy1an6obfOE0TxMN42MZLlwGz5tr5PGMZ86kvnsb20zBivZPm+t85f87Ur1S7fPr1Ou+ujKDA/W+LJE9NXDUDwg4hT56s79i8IY5r9xFNDV3n48PjrmqB+r99795NrxQu/8K2LfPvURYrlETpOxFMPTJG1DOZnSzdMBntlqUGj38bWdZVH+tdFzwl48WJtWBbNTRWYHS9w+mKdetvhz7+1hOOFlAsm45UsP/3hB+jY/jBmEyUJURTj+xFPn9nAMNR0VsYkodZOJw7quSFJkjBayjBayvCOR2c5MT/GxZUWv/mZl+j1OyL3Txd55MgEL1yosrjaZrnaRVXSuGQYxYRhjB/EKEr6HZI4wdBV/DCdWEkh7aOzLA3idPBxMWdiWTq1pkOj46Z1iKRfV0q4YjIpsd32eOp2ipLO2JkkCX4QYxoqqqqgqwquHw4TTGCrLhWGEVECpbxFztI5OFsGJeGFCzWiMMb1A3RdAxTCMD3Hx/dXGKvkeOqBadYbNmcWttr045UMlrG9HjGYTQ4eODjGY8fSSWZ6bsgv/9a30kSljks+a/CWB2c4tn+EJx+4dv1iab3DF5/ZmljsqQenrxpg2e75nFmoD3++2f13M19/YZVzS00gjRV8+G0HhvWra5UDr6UgjDl1rorjhVxabZPP6syMF9A1hZcW6nheRLXlcGC2xPxMmQOzZSZGspw6t8lzr1RZqfaothwOzpYp5gw+/LYDOwbanr5Yp2OnbRddT8c8NNs25y6tMz0xysRoAVWByxtdfD/k3HILQ9fQVAVDhdV6OuA/jOlPZqNgmmo6WDuK+32l1zZWMlFVLW3/y72PqauoaoKqaCRxhBcmqEp6328/PApp20dRVHRdJQxjdF0hiaGQN0mSBEvX8MIoLRfChCiMieKYXEYjY5n85AePM1K0ePjw+Fabqd+n6XohC6sdVDW9/xRIxx7kTXRNZWosh66qTI/lKOUtjuyrXJVIfi3b45cZS+OhQ1uffT3XisteK6lqab3DajWNLamqwsmDY686afbCUpXf+7PnGR8bxzAM3nRsckds8tWUBV/5zjILq2kbrt3z2TuVPucX1tokScJI0UoTgnWVZtcfjk96I9qeIDL4WVPBNBVAw/MjFBJUVSVK4jRBRFFQVYX9k0WcIKJr+/hhjK6p5C2dh49MoqpQyGgoQYN3PPkAPQ/Waz1Wqj1MQ8X1Iy6ttjENDdcPefDAGPumS6DA0bkKF1baaV8fMFbOcGiuMtzH85eb1FppH9Cp85sYmoaqKlimxsfeeRDzDvTpX1xpsdlIY/uapjAzluPzT18eHqyHDo/zyJGJV/05r6adcGWf4W7LgnvN5fUOf7GtnvHkiemrkil2238IsLDaHsbSVVXh4cPj1x20vlrt8uffXhqe18eOT143QafZbPJXf/GLO35XLpjE/QeoH0R4wb3R9/BGp5L2wwGggKrEBOHgWRpfMz463LafBJ4kaR1+z3iefC6tY2qawka9N+x/TifhMImT9L1NQ6XadLbGm/Qnth546PAYx/en14+uq3zpmSXswXspCV03Ju4PjhgpWRzcUxlu+543zfHmh2auuc9xnHDqXBUvSN9LUeDs4laf6OxEnkJ2q08tl9Gx+/ulqun4LL9/bQ76L2/2/B/4X//geV5ZbODYNsVSnr//U48zXnl1Y4LvtNe7bfB6u5fjST0n4Mf/h88A8Hv/4qO3lCC0nRdE/Mj//dMA/Od/9uGbJt/daWcW6vx3//rLTI3m+N/+0Qeu+ZqbnYff/8I5fv3TL/Kex+f4ez/5+Gu9y9/VrncuTp06BXDTsuCeHfn5h3/4h3z84x/nLW95Cz/1Uz/F+973vl0X1tstLi5SqVT41V/9Vb72ta+RyWT4+Z//ed761rfe1n4FQcDp06ev+v3ZZWfHAMzEXsfQFZ5f6NFuu8OK/NJqk1Y7SgcIhiqObaMEXdrO1sZ/+cxZ8paGHyZstgJqGlRrHoqSrnCQJFsDCsMorbe9kRI4AIJ+4OZ24zJhtLMCNKiS2l762zAElAQ/jFAH/b9xTBgneFdEggc/Xi+BA6Dnbu2vkkCnF6KoECnRMHAaRRF2FPGXzy3gBQqNboAfxFSbPkEIHSckCBOi6OqO+2bXJWNovHR+mVJWp9H1CYIwDXTH0HNiqtUqVaBRW6fVi7G9GMePeclu0+tG2ArYbkwYeAQhuIEHcUAcw9mLPkmi0G4qeEFCvQaNdkhPVyhmNbrtGmEMYZjQtkOCCM7FPeIYAqdB3tLoNnUmywZxHHN+Ie0EbvZCohguXnIwdZXNNZXetgG87brG9Ehaabv6Hlq7rcFkCwsLt7zNa8X14x1LUtXbHlEUQaIQJ+nss3GcoGlqmpzVX50iivvBt+sMdBA3Fg7v6QRNUQiuMcYjTkAZHN0YEjUhjhUUknSlmIyB7Ya4foTtBjS76SpHUZQQhDFxHKDlTOIood7x6DoBrhfSswNIwA9igjDC8dKpfAYz7g7YbjjssIU0mDE3mc5GXm05hFFMEMQkMbTtgNFykq4+0HaZmxyssJDguKEkcdxnhqe9/98gvL0EDoBW7+qHf9R/gEQRwxFLg9/Vmw5hIUMYxdcM1gyeczd63t3Mtba13XRQxZXJFVdte83nbTpTXqPj4QXpDH2ePxgNnf4njEmn6OHan9Fzrt6pwbP5WnuUxFe/7kZ21Df6X6LrBKAohFFC1/HT2f6ShDhJBx8H/cQdxw+JwiSty/UT+RwvxPEj+vNv4YUxS5vt4Xdbq6UdV2EYp4l/YYyuKgRhzGbLJYjSmdsVNV3pZL3Rw49iDFTCMBkGYeIELiy3rpnE0e13zrl+RBTH+EFE1lKvm6F/5fKLHdt/QyVx7Jbt+MMAGkCt5dLsenR6wau6118LYZQM6yKr/SVmwigmjhNcL8TPGPhhTMf2h4MfY9IZLDu2TyFnEsUxoaJQbdms1+3hIEPPj6i1nOFg964dcHGlk5YD/euvbfuQwGbTSWfU3+byevuGSRwdO012H7SvvCC6a51VXSfYUQh0bH9rdTvShN5q02Wsn7Tc6Lj4YYip65Ck29+p2d+uJUmSHUu8en5EGMXDjiQAx4uwHR/zHupEGQwQ2P7z9iSOMEqGCRzw2s2AUm1tJTtGUUJ923X9anXstFxo9tJyO76HRiREcUK95VHetvzS5fUujx9P/z0o810vomunbdp0Btt4eMzW6z3CKCJOEsIwoecGab2YdAnjrhMMny/QH5SdQGZbQWm7IY3O1rVqOyGtjkfH9vuzg8fooYrjhXSdAF1Vh58RxTG2GxBGeUxVS+vecXLLg59frZ6Txm9cPx0c0eql7Qy3/327V7QRXgthlJ6XuH9svTCi2nRuspV4tVarW8+2JElY3bSHSRzNzh1aXue7yG5LyO2v869oKm2PC7h+iGXoKEq6upAfxsMkDtePsHQVVdNI4rTMGyRx1Lc9FxwnSp/j/Y7I7c+MxfXuMIED0tUuBkkczbaH64ZE/XpM1wnIZYy0DpakdfdBEke15TIzlnY++sGgTn5r7f8rl3rvOcFwkOH2560fhHh+PKzD11oO0/3PThLoucE1BzptNnfG8u6VhOXXQte+ut53o5m3gyB9Tq7We981Aw+T/v+ls935JFuRN2IgCGIaPZ8kSutWcZK+frhdkr4ujBOMSKEXhWQzOhlTpd0LULMxURTj+ulzPYpjGm2PXGbr2lxYbTE9tjWL+JX1ylvRc4NhAgek98X1dO1gWD9NkrTe4njhVZ3EjrczHtjt1wkHgjDGCyJyd2mVQXHnDdpeaTw5oeuEZC2Drh0weYPJdLe3ccNt10XvijbooG7ecXwcLxzeH0kCrW76u+3vFYUx7Z6PH6Z19SCICYKIettD0xSCKE5ntO73xfphzGbD4cR8urKTvW0g0EZza8Iv24uGq2IE/bg2bLWNBwldRGl/WayAikKSpIOHkyRBi9Q0puWnz9hBAseOskJc1/ViToPfD8qaQSKHGyfDAVPD1/b/G8eQkOB4ARlTo+v6NNppm2LwfrabTkoVxQmqCs2uTy5rEYYxi2udHe97eaPLof5AsGrLoZg1h4PbNhtbExRVGz1sNyQM05WbB9fbjeoX6/Xejp83GvZVSRzdK54FN7v/bqbWvCJW0Hbv2gqnrh/2Y/3pPe32E54v91ev9PudZa1eegy6js/ESJbN/ndw3LRMsd2AQjZdzXl7EkfH2Tp27W5AtxcQRVtlzFglodnz0jhCxyNO0oGiGUtns1/+DeLrg0QO30sTqKObZLh2bJ+sqX/X1KNuJgzTmL+pJwT9gxLGW0nrO14bpat8eH6IpqaTXuqqiu2kdfqeG6T90l6UriYeRihKGm9LV0G3yVk6YRQP472DPk2vH9+ot9I+j0HfR9f2qRQz1FsukyPp6kqlvEXXDm46cPvK+KXrRTs++3quFZe9Vv18e30wjpPrtm1uRbXl7PjsjYbNg9yZ1Q+2ty17bsBG3SYhPS6mruL6MT0vxIq0dMzBG9iVt3/CoD8wwdCS/iSNQNxvWyjpOJ0EqHc9VFXBD9O+9oi07d/oOBRzFqGhoEYJbdvH9ZVhTNEPYjYb6UpYpqERhmksfd90CRKobRv3BVfPar29r6zZ8RkpWphqmnDScQLG7kCf/vbPiKKEy5u9HQdrkOBxN13ZZ7ibsuBetHlFDHWzaXOM269EXFkeXavNOLDRcK44rzZcJ4njS89vXPW77f0NksDx+rliiAM9L8HUlcGPN942ThPVBjYaDgf6SRxRlNDu+cNno+vF6GqI1Z+IZqNu7xhP23VCtg+vXVhtD5M4Ol2Xdi8YrqjecjySWB22ARttD/ZsbXtlH+52/v+fvf+Os+Q+C3z/T+Vw8ukcpycHjUbRsuUkS7ZxwAnjhQVjookC7i54DbvLZeECu8v97ZpgYLmENQYMGBZsY4IBG2NjS06SlWekyalzODlU/P1R55zulmakCd0zLel5v156aWb6dJ2qOqeqvul5niDsBXBAUv1obb9kZqHO7snVObWFUpOUvbrWaaneJtMZW217IX4QXfJi+9k1/YAgSCpPb7UgDnH9dO+3pq5ecQAHJImXjE4S+VrDv+ZBHN3jyLhX/r7d3336s1lsPVt25ee//uu/8rGPfYw//dM/5Ud/9EcZGRnh277t23jXu95FsXjpGQODIODs2bPs2rWL973vfRw5coTv/u7v5u/+7u8uaztdhmFcsBKHkSlTriUXj2VqHJgqoKoK6WKVuepJ2p5Ps11j+1iBgAZBFGEZOv15i5t29fH1J5eAJILy1S/ZzmK5mZQTnq+RT1lU/QXa7Yhyq0qzFaIoMX4YY+hJtirXhPoLaB7Y1BX8sFOJ4AoGaAxNxeukn4h5ZiUOQ4cwSqLekyzfSaWMthfiWLC8ZlK9m4X7YplsADKdLN8qECuQyxg0vQhDVfHDpBKHpmnYpsarb93Ol59YRjN82kGdvpzF7FKTlKNTqftJFZHQW/dehawDKBzcPUqzHTA1qXNi/iRxZwTbdXT6+/vJpkymRjI8cmyJth+yUmmzczzDA0cWsU2NuNwimzIoV+pohkk+bRHHCnt39LNc9RkqOMwuNxjI24QnS6RsDddOSsB7fsj5hTp206fthezdlmex3GJiKIOpq+waz5HrlLWcbpxludzGcJLBm53bB9A0hanhDMenK70W6vbRDMXOgODFrqFLdS0rcVwq19bJpc3ecQ0WHWaXGgRhjKrEjPWncF2TesPHtfRkobMKOknmeU2RShxXwtCTBeyKlqQJN/XVgLdup0FVkqybCkkAB6qCqib34HzGxLE0Uq6BrqsoChSzFnNLDTRNwTRUbENH7WQR68taZFMmtqWTTZnMrzSxTBVVBdc2kmxXT2tUubaBrqm9gZ7BNQOLQwWXmcU6pqmhqJBPJSXoLUNjYE2GKE1TcDd50ZfYeN1qE90UMoauEvvRFT3rcimdctVb1+nXOpU4ND35nrf95N+iKGao4GLbOs2Wj6Wrz1hApqrJtfNslaeey4V+17UN/LqPaaj4wcUHlbvBa9ra6heKgqLE9OWsZAFkFGOZSfWr3jnUkgpOQevilTiqTwvk0NTk/vr0TD7dn3Xff92+XGy/O9uISbJGRHFMNm312hVpx2RBbaEpCrEaE0cKhpHcW1xTp60kwSmuZaB1/u9Yei+YxDI1to1kWVhpslJpMz7ocmK6hK4n2bRMQ+vcqxQGcnbydy0ZbEnbGkOFFJahoZB0VLvtC01T2D2Zv+Ax5dJJNifH0nrvAUlWj6XKM1+fTZnMLTfW/f3FKO2YuI5BozNwP5B3yactcmmzk5lw63SODUNFVZIsKIah8uTppPx4HMc4joFpqJi6Si5tUqm1OxljVFzHSK7zGHRNxdBVBoouTS9kbin5Dji2zkButS2WTZnsmcjzDyqdtnFILm2iKDBUdKk1cpzsZIhWFJgayT3rvudSFs1WgKGrRFGSVf56fecyrrkuaCObMtf9m6omGeiCzo2kP+8kARwkx5rZxACO5D0UsimTSqej6Ng6uqYykHeZ7QTvuI6xLhPOVpBNWUwvrk4+PX0xhKGrOLZOs7OgI+Oam1LCdqgv1WvH67pKf27j+hjZlEmt4VHMOswtNvDVaMuk4NfUpGKUsSagfmo02/tzNmVSqrZxbJ1MaNBoJ5Pmuqoy1GmrjvSneeLkMqqiYOgqadfAtXRQIOuaqIpCqdrGNjVafohjaqRslbix+jm6tkF/3uHMbDJJkEkZFDLJPdXzQ1QjaR87ttHL+OjaOrVGEtCRyhq9jPIpx7jmARyQ9AFUVcE2dVRFoZC18bwQx9Y794DNb8sbuspQ0eX8fI0ojrENjcHi5vWXRWJiKMNjJ8udzGkK20YyvZ8NFhxmlq//hPrzyaUuZV6bB8TSYc3aa9auk3AtoxfYpGkqtrX2ZxqqlrR9FQ2ya/rcg8XVicC0Y5BLWb2A+cHC6nW1azSPpau0O8//scHVBeXFnNMJ3E5+L5cy8TuBiJahMdK/+h5Da65Vq1N973JlU+bqAg4FMmvaTLm01cv+b5k6prH6HFq7+ElVlYsGnA0WHDRN6S3Ce7aghue7TMpc14F8rvanaWhk0yZj/WlOTVcuKUHA851CkkxAV1XSjkGtuRoQrirJeNpAxqJU92l7KpqStImVaLUSR9KmUFA1cA0Ds7NAoZixcPQ2uq7hWDrtIELT1KSSRefkKkpSFbLRDnvt71zqyhfVpmyDtGv0Jjmf7fudTZm4to7nh52s9+a64JKup48HZlMmfhix3FnoahlaL3BMvDAMFh1OnulWjoesu1rd6dlkU2bve2Eaau8ZkHaNZ/RBu//3gwjX1qm3gs54to1r60RR3Mv4q+sq+YxF2w+SZ4+uYXaeP4vlJKt3yjZ6Y2WWoTLaeTYNFV3SjkG14aMoMFJ0yaZMHEsn5eisVJXOmHtS6cEPQpQwuTYNPZmDMzQV4mRuBEVJKuzqam+M1NBVLEsj5xosVpIxRBWpxPFcupWQLrQyrHuvNfWkGrRpJmOGlqaiEBM0w3XbAVA1iKPk+a+qChnXpJix+PpTC8RK8iYZx0jGcTUFRVHIZx1cS8c0dbaPZnn8RFL5IhnnWe1PDhfdXqAR0AsaBRgqpEi5OmGUjKF1F3gN9V38/jvSn+bI6ZXesY/2p5/xmuxlPsOfy2DRZaW6WilnIH/9+leOpaPrKraRZHp3Os+eqeEsjx5fxOyMCec74yrdYx/uSzG9UCflGDTaAWnHQNOUdQk0uq+vdMZFChmTUtVkueyjqpDPmGiaQl/OodEO6csmlafNzrj3SNHl7GIdvVf9O/mGWZaWjCteYBx/rXzaAkVFawYviopmz8XQVVQt6V+aKLSiGENTLljNxDCSuVHb0vH9ZDFkFMWkHYMwjkm7Bm0vJOXoeF7UqfKdVOywTI2BnNsbQ+xy7WS+1DJ1VFWhP2/TaPvJGM1KKxnrJakyBvSu30u53i42fvlcLjQueyG5tNVrzz1b3+ZyDBWcdRE0w89yn7r8bbvUGkkFg4xrMtLnslxp4VoaYRxjmxppx0BXFdq+xgt5FUH3FHe/5SrJHKRlqhAraJ2Hn6YmgaEq3cqA0J91qLd9Aj+k3ak0aRoafTknmd/XVJRIIZ8yqesKtabPSrWNZWqM9KdptEtA0q/r9vcVJRnfL9e9Xn/j6d+7bHq1D96XtVG15ChcSydzFX2Tp79HN+hE11RGB1IcXZP5/tmem9fKC2XOcLjPXVcF72qv9VzK7M1pdMeyL/7eKR49vrj63sVntnG6Xn1okN/9xPo1TJqqEnYm7G0zCQATm2/d40uBjKPR9pMPUeXZ79i6tj4we2QwteZnCsWsRbWRfH9cO+mDddcwjA6kmF1qrHkmGuuC+fdM5Ht/zmUd8hmTWidTeDFtU6mHve9Lf9Fe93ydXDOu/XSmrmFbWi+pxfhQhqfOrPTGCSeG1//ucJ9Ltb76TB4sODRbye86lr5uTuq5TAxmeKKWrLM1DZWpoexz/IZ4MekGWT59nd6VSDkGpU5i58Gr3trl6V7HV5MQsvu7V5PoRlwbW3ZE2HVd3v3ud/Pud7+b+++/n4985CP82q/9Gr/xG7/Bm9/8Zt797ndfUsmh0dFRVFXlrW99KwD79u1jfHyco0eP8tKXvvSy90tRlAuWn7lhl8P8coMojhksOL0IyL3bXf6NYfHYsTnqZbjj5h28QdV48MkFVFXhDXdMkk7b9OUzLJWbHNheZNtIjvGmz3KlxZ6pAaIo5tDuQY6eKxN4PiemK7T8JPOk5wUUcw66ptLyfOaWGqiqiheEhEFAudZG0XTSro4aK1RbPo1mEiigKArtwKPRjJ+xQLE7ntUtYw6gASlXR1ViYlTank+r89xXSR6MihpBrBLHUZIBIkp+MQ4gIJlQffnBAfL5DJ/64gm8ECwVdFMj7ehkXYtcxmS4P00URpybrxKGITEKQQiNtk+7HWJbGirJAmZNVQjCiPlO6chXHBpG11VOTtdoeQFpWycIY4o5C11LBheqDQ/LVCmkLQxTJwaiMKKQsYlj+MoT5zl9vsT4YIbRwTxR4HNuqYmKgh/4SYnRTtawfVMFChmH+ZU6c0sNhvtS7NlWJAxjZpbrEIUsllpEwHveeIDJkSz9ffNML9SxTJW2F6EoMSvVNrqiEUQBfhDy8JOLeGHEoV39pByTvVMFBgsp9M6gzNhgls989SyuqfPym4exTYv924vYpk4u67JSaVPIWFimzsFdQ5yeqWJZOrYec+rUKXJ9I+i6wc6xPJaZlLcNo5ibOhNJB3YMslRp4VgG+6cKRBEcPpUEh/TnHDRN7e1LNmWuW1z1pjt38sSpZaIopj/vJAM6OQfb0kmnU5RrbdKOsS6jy8FdTlKZ4mnX0OVyHGdLlep6/Uu3cfjkMooC3/La3fzR3z/BubkaN+zs45a9Q2iawlK5xctuGObRE0uEYchQn8P0QoN228d1LJQ44okzJZotn76Mga6b5NMGc6UmbS/CUAMWSz5BFJFyTfpyDmMDKb76+BzNVojj6PheQDdh8VBBZ6UaEASrC48hud67yUf8IJkUMfVkcE5TYhrtpAy6qSu4rtHJhuTh+c9c5Gwo4D9t7DBlg2WaqITU20n2+G6QSkwyoYACaVvBtk3SpsL0UqszGQDEKmlbZWI4j6GpnJmvomsqeyZzPHYiWSQ2OphmuJhCUWOWV5oYhsG2kQzLlRZHz6ygKgpTI9kkI5AXoKgKmbRFtZa8z/aRLONDWfJpC9fWce1k0nmp1OKm3QPMrzQY6Uv1spdPDqfZPV5kqM9FURRu3jtIMWsn2TQdHddKvudPj8g1dJUD24sslpuYukZfzmahlFTguGnPAAvLDU6eX2I60+LQgXEsK5l0Gyy4LJabtL2Qvpx9RYs4xOb45P98O2/9yU/0/p62NWIlySzlR+BacGj3ELqqohIxs9Rk53iGlp9cYzPzFZYrbUYHXWYWm5hqSKUR0fBCxgZTlCseKUcjUlRarYBX3DSCpmrcfavGP371NGEYs3M0w8JKi9GhTDIpCphakgl2//YiB3cNoqkKS6Ums0t1bvUDvvDQNLatMzaYolr1mBzJcHauhq3HrNR8mu2IsT6Xcwt18hmDbNal3vA4N1dmpRZiarB7PEe5Wmd8KMfMUotizmGxkgxSHto1QK3uMdLvMF9qY+gaR04tslJpk0lpzC+30TWVg9vzNL2YkQGHU+dr5NIGvh/Q9OHlh0ZwbZOUq3N6ukqj7VOttzl6usRIX4qp8QJ+GNJotTl9vkoha3JipoqiKNyxZ5BaOyAOQ758ZB5dVblxZ55aM2Kk3+X0bI1MykSJQ8q1gMnhFGdm62RdA9sxqdTb5FydE+er6EqLc0sxEbB3Io1rmyhRnUhJoagqgwWH8/M1dk/mmRzOJYtRiJldanL37eM8cmwR29QZG05RKnlsG8lSqrXIuBbZlEa9GfGNr5hifqXJ3c4Y5bpPtdHmlTeNk0/bZF2LebfB2GCa7aM5jp0t8brbxzm/2CCK4fZ9A3hBzM17Bvnq4Xl0VeH1L9lGrMC///ab+dyD53Etg2LWolzzuHXfINs7GYGfbttwFqeTbevAjj4arQDX1nGMmKXZZ76+kLXZM1mg2vCe0SZ4MdF1lTe+bJIjp0sYmsL+qT50XeWHv+kmPvPAGeotnx2jWf7gbx6n2vAwtKTN3fRj/E2oqpexIYpV0rbO9vECpqFybraKYajcvHeIqZEsO8byDBZd7ntkmtMzFVKuRn8uhaoqFLM2b3vFDn7/bx9npdJi90SeoWKK3RNZHnhyCc/32betj/GhDK86NMpXj8xRrnrcvGeAjGuyUk2y4vblHNI2vPamLBU/g64b7NlWYHI4S1/OoS/nYJkq0wt1dk/k15Ufv5DJ4QyOpTNYdInjGNc2GCxcn7ZfyjHYN1WkVG2TcoxecPL+7X2sVFq4ts7Nu/t54tQycQz7txdptALqTZ98xtr0DPwAuyfyzK00IIaBQtJeec2t4xw+tYQfxuzblu9l3NkqsimTvZMFKnWPtGtcMEvX/qlishBJoRc4sNFu3zdIprNwb9d4fkOrpkwMZbBMjW8tuDx0dI6jZ0p4nk+54bNcbdNs+igk2eQqjY2ZYClkDYiSwfCRgRREIW1fBTViqdQiCCJyaZMd43m+5bW7Wap4nJ6pMDGY4eCu/t52do7nmV9uMDKQQgGqdY9SrU02ZbG/U05+bCDNPbdNcGa2iqYrFDM2tqWRz9ikXZO0a2LoybPTD2NStk7Ghqeemum9j6GrfM83HuDTXz2DF8S86qYRbMtkajTHzFKdOI7pzznkMzYDBQdFUdBvHGV6IXm2j/aneouTr9eiYsfS2T9VZLnSYrIzYdFs+zgX6SNsBkVRePUt4+QzFkvlFrvGc2wfffZgOXH1do7lePtdNifOlRgdSHFwR3/vXvxbP/063v/rn+PMXJXJoQw/8I4b+PW/eARFUXjft9/Mj3/gCwDoCmgxtDvb/LZvyPGXnynjhTDW51DM2Tx6YgWA3/y/buE//d6j1FsBt+0dAGK+8sQipqnwM986yc/98WnCGG7eXSQMIx47UcKxVH7qB27n5z/4FSLg7luHefTYMosVD12FH337Tfzqxx4G4DU3D3PkTIm55RaFjMk337WT3/2bZHL4375uJ5+67zSlRkAxbfJtr9/J73zyMIqi8Ivf+wo++i9PcOJciZceHGH/9n4+/LeHsUyNn/uBO/ngnz3I3HKTV90ySjHr8NefP0HKMfivP3QHP/4rX6DW8LnrljEO7OjnH790ir6Cw/e+aSf3fuB+PD/kG18+RRBFfOGhaQYLDj/7vS/ndz/5KI2Wz7e8bjf/9OXTPHhkgbGBNO97zx380d8/gR+EfOtr93LfY9M8cXyRfduKvPyWUf7ob5Pjee9b93PfY8l9+eDOfm7a08/ffPEUhqbxzffsxvMDGq2AQsbihl39PHV6GcvU2b9tNVFQMW/z3ncc5L5Hp8mlLF73knGOT1d7z5Na0+PBwzMszPm8/LY93H94iSCIeN1LtjHUl+q1IQoZm/mVBmEUM9AZW7tcyQKVZEFKLm2tCyAdKrrompIcTzYJ3ltYaaBrSfDXYqlFywvoy9kXrQCaz9i8/o5JTk5XyKWtZ2S+fiFJOwb7L9DuuxhVVTi0q59CxmaoL8WXH5tmdrGOFz5zMdJm6I4WXSiNQmf4DctMgi39MCQMk8WUhbSFH4IfBPhhTBxFKCSZmTU1CZ6+cUeRWjvk5HQZ09DYPVEgJODM+Tq5rMmdh8ao1z3OzpZpeCG1uk86ZXD7vmGmRnOcma1wdq7cqX4b4FomK5UWQRQy2pei3goZGUhx+/5Bnji1gueFHNqZ5/TJ46SLBV5yYJRSvU2zHbB3W56VcpvpxTo7xvPsnSzQagedxejaugCry6XrKt/w0qR/p6kK+y+S9RSSBTYvOzjM+fk6jq0xOZS94Nj208cDBwoOcZx8v4IwYrDgXpfAU7F5bt3Tz9L8NEPDfUyO5IlRnjEvciE7RnPrvxedcT7XNtb1N/s6gea7JwrkUg0GXruHk9NlDF3jjhuGMXSNQlZbN2bj2jrzK02GCi7Vpk8+ZTM6mOLUdJmFUpN8ygIlmeCfHM722o6Tw1m+4037+erhOTKuzl23jAMKw8UU00tVlistylWPXMZCV0nmMb2QOIJC1iKTMlkqNTF0BU1NAgoMTUmu1c5iHkNX2b+9gKJofPyfn2KxMxaRy1gcP1siDENaQcTCcoOWH+J7PrqWBEjHUYBtW5i6RqQoxGGQVD/xQkIvuc+FcfKfCjg2qGqSxbybc0ZTk8W+WgwLtTaeD7aRLLirtwJa7ShJIBUni5oKWYuWH1CthcQkE+6OqwMBvp9c87quslJNBn1yKR3iiKYXoSiwbTgDikqzlRx7GMaM9qeIiag0QlYqdcJAwXY0XEPl3GIDVVGYGM7iewHTS03Sjs53f+MNPPTUPKfnytQbIaahUm956LrON921G98LODNfo+n5DOQdMikbVYVypc3x8ys8ebpE2jH4iW+7kfsfX2Kh1GComKIvaxMrMNqX5oadfXz5sRnuf/gcGg3e8qr9fPrBWertgL0TBcYG0/RnbVzH5Pb9Q0wOZzk/X2PHeJ7tozkOn1wijGL2bStSb3qcmnlm28G2de795kN85mvnCIKYHaNpitkUe6cu3r4YG0jzmlvGmVmqM1BwLpgYJO2avWf4pVx/z+UlB4Z7QX47xnKbWmH1ueha57lSajI2lE7m+EydgbzDYNHl7FwV01ApZp11x35gex+mobJSaeOHEYamsn00S/5p4y+7Jwpr1j647J4s8tCT07hqlZsPTOCkHBQFbmkn6xFu299ifqVJPmNx0+5BvvDwWY6eLhFGMRnXxDCSxCJtP8QyNB49vkij5VPM2WRdjcdPlojCiDsPjbJ/+wBn5ypUKy1OzFWpN9oslJsoKLimQhTG1P0YXVPZNeLQ8BRKNY9SrUUQJkkZNTX5b6SYIu4mlVBVChmLBw7P0fLC3oJvBZI5U4XnDBpR6QSQdxJahVEyh5m0p1g3ztsNQku7Ol4YYGp6UmVGAcdUSNk6QaigqDEaGqalMdqfIopiHj+xSEwSpJpP22wfy9P2QhZXaswuLDHQX6Dlx3jtkJYfYhtJYriBfIo4jsmlrWSdiKKQcnT68y6+H3aCsEFVY0q1pLptvdFCNXRu3zfASF+mN4bYZegqB6aSNsz4YBpVhZua/Z1KsyGGrmGZGoWMTRRFqKp6WfMEa8cvB4vr3/tiLjYu+3RjA2lMXXvOvs3lGCi43LQ9hZvLMTqYZ8fYxo2zvPTgMLmMRaOV3GM8P2JsKEO57jG9UKOYdTi0s48vPjLN9GIdS1d54swKzYZPPmPgBxHVehPXNSnVQsqV9qYGQumdJKgxneQJnQSVhg66rqMqAc3WavU9LYndxLIMbCMmjFWUGHzPxwtBNzQytkYu69CXdYgVaDR9ao02qqpy274hcmmbJ08vYxoabd9HAYb7M0zP12i2fbaP5pgazaGpML1Y5/x8g2xaZ/9UH5mUiaYoBIHP/EyD/rzDmGWTy5iMDSQJ0QpZm9Ozld5zbCDvUG/6FDIWadfs3Xcv1N+YGskmie2CkBu2FzkxXabth+zbVsTcoDH4yaEMjqnjBWFv/c3r7tjGmdkKhYzFronr3y9/ocwZjvSnufu2CaYXavTnnaseU50YymCv+eyebT3UUNHltbdPcG6+Rl/Oedb7TD6f533fdhP/62OPoagKv/h9r2CuXOfTXzlNX8Hh3nfdwk/8ymc5PVuhL+tw77+5hd/5+MNU6x6vuW2c23YM818+fD9xDP/2tTt44Mg8T55LEiv9mzeMc+RYneNny/TnbX7zp17Pf/jg55ier3HDjj6+783b+ZEPfAk/gJfdMMDr7pzi//3w1wD4v771EJ/56jke6CS0/sG3bONTX1vg7FyDXNrkD3/uTbznv/wd1YbP/skc3/euQ/zMb9yHH0R802t2oCrwp/90HICfffcd/MUXnuTw6TK6Cr/+vnv4rb/4Omfmquwaz/PzP/gKvvPnkm3dtKufV94wzgc/9hCQHNPsSpN/fiCZe/jZe2/nzz7+JEfPV3EshV/7ydfyC79/H4ulNge2F/l333IDP/HB+2m0Qt585xRToyl+7aOP9I7pseMrfPqrZ7FNjQ/++zv5xQ8/xMmZKsWsze//zBv4jT9/kPPzNV558xh3HhzlA3/2AM1WwHe8aR/1hsdv/dWjqKrCL3zfK/jHr53k818/Tz5j8Zvvfx2//qdf5aGn5rh5zxA//m0v4R+/dIrFUpM7bhimL+fyu594BD8Iec8bDxAR8w9fOkXKMXnnq3dx32Pnue/hacYG03zf2w/xS3/wJc6cr3DbgUHe+/ZDHD61QrOdjE2++pZRPvqPTwHwrd+wh5PnynzyCyfIZyx+/N8c4vR8szeufdPuiy9bV1UlmatbaaIqCoNFl23DGU5OV8i6FnunCpQ61dW794L5lcbqWidTX9fWvJTnf9d3vmkff/35Y5w6M81b795LMf/8q/YjNk+9E/yQ2oAkhulOEMfTK15fC92qktmr6HNKJY7nDyWOL1ZkdeuZnZ3lp37qp/jKV74CwMGDB/nhH/5h7rnnnmf9ve/93u/lu77ru7jrrrs4f/483/zN38xf//VfMzh4eTFSjz76KMAlBY88XaPR4PDhw+zfv39LLTC/WnJczz8v1GO7Vsf1wAMPYJrmFd0HXsheqN+r60nO6cbayPP5bPeBF+Pn9mI8ZnhxHveL8Zjh4sctbYJL92L97mwWOZ8b70rP6QMPPIBhGPi+L5/HVZLv9caRc7kxLvU8rm0PyLl/JjknFybn5Zme7+dE2gSb6/n+/djK5NxunAuNEcj5vTbkPF87cq6f3YthrFC+A9effAbX33N9BtfzXiDfj0sj5+m5yTm6NDJ/+Nzku3Tp5Fxdnq1+vl7o94GtfP6/+PA0//0Pv8r+qSL/74+96qq29R9+/fMcOb3Cf/rul3DnjaMbtIeX5iOfOsKf/dOTvPnlU/zwN990wdc81+dwaqbCj/2Pz5JLm/zxz79ps3f5Re1in8WlxhtsrZSbF9FqtfiLv/gLfuiHfogvf/nL7Ny5k3vvvZcwDLn33nv5zd/8zWf9/Z//+Z/n937v93jrW9/Kj/zIj/ALv/ALlx3AIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEGLrqDWTChaZDaiamHKuXyWLauPqj6NbiaPa8Hke1Xl4Ubr6eoGb6MyZM3zkIx/hYx/7GLVajVe/+tW8//3v5+UvfzkAP/qjP8oHPvAB/viP/5h77733otuZmJjgj/7oj67VbgshhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYTYZN2Ai3QngOFqpJ0kgKLeun5BHOmrCOLo/m4UxTTbAa599edEbI4tG8Tx3ve+l/vuuw/HcXjnO9/Je97zHiYnJ5/xurvvvpvf+Z3fuQ57KIQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEOJ6qTU7QRzOBgRxuNevEkf3PTNXEYxiGRqmruIFEbWGL0EcW9iWDeI4e/Ys//E//kfe+c53kkqlLvq63bt384d/+IfXcM+EEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCXG8bGcSR6myju81rqVuJI3MVlTggCURZrrSpNjwGi+5G7JrYBFs2iOMf/uEfLul16XSaO+64Y5P3RgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIcRWUusEP6SuooJFVzcQpH4dgjhWK3FcbRCHyXKlfV2qiYhLp17vHbiY/fv388gjj1zwZ4899hj79++/xnskhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQYqtYrcRxdcEPyTaufyWO9FUGo3SDQKpN76r3SWyeLRvEEcfxRX8WRRGKolzDvRFCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgixldQ2KPgBIHWdKnGEUUy9tUGVOLqBKFKJY0vbskEcz+bxxx8nk8lc790QQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIcZ2sVuK4+iCObiBI7RpXsag3fbr1D642GKX7+93KHmJr0q/3Dqz14Q9/mD/8wz8EQFEU7r33XkxzfTRRu91maWmJN7zhDddjF4UQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEJsAd2KExsSxOGY67Z5rXSriTiWjq5dXY2GbiUPqcSxtW2pII6+vj52794NwPnz55mYmCCbza57jWma7Nmzh+/8zu+8HrsohBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQ4jqLoph6KwlW6AYvXI2U063EcW0DILpVMzJXWYUDpBLH88WWCuJ4y1vewlve8hYA3vOe9/BzP/dz7Ny58zrvlRBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQoitpNEOiOPkz+kNCIDoBlH4QUTbD7EM7aq3eSmqnaoZmdTVB6L0qolc40AUcXm2VBDHWn/0R390vXdBCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghxBZU61SbMA0NQ7/6gAvH0lFVhSiKqTU8rJxz1du8FN3jyDhXH8TRDUSpNSSIYyvbUkEc09PTDAwMYBgG09PTz/n60dHRa7BXQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIbaSbrWJtHP1VTgAFEUhZRtUGx61pk/fNQriqHSCODaimkjaTQJBqp1tiq1pSwVxvPa1r+WjH/0ohw4d4p577kFRlGd9/eHDh6/RngkhhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYTYKuqdahMbEfzQlXE7QRzXsJJF970y7kZW4pAgjq1sSwVx/Nf/+l+ZmJjo/fm5gjiEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCvPhsdCUOWA0IuZZBENWNrMThJIEg3XMjtqYtFcTxTd/0Tb0/v/Od77yOeyKEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBiq6o1O8EPztVXsOi6HkEQm1GJo+WF+EGIoWtXvU2x8dTrvQNCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghxOWodoIfNqKCRVd3W91tXwvdShwbEcTh2gaKkvy5dg2PQVyeLVWJ4+Mf//hlvf4d73jHpuyHEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCiK2r1uhW4tjAII7OtrpVPq6F1UocV38cqqqQdgyqDZ9a06eQta96m2Ljbakgjp/+6Z++5NcqiiJBHEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCPEiVGt2KnFsZBBHpxpG/RpWsah0g1E2oBJHdzvVhk+lfu0CUcTl2VJBHJ/5zGeu9y4IIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGE2OJ6QRwbFPwAq9UwqtcwiKNbUWQjKnF0tzOzZrti69lSQRxjY2PXexeEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCbHEbHfwAq1U9as1rEwARRXEvGCWzgZU4AKoSxLFlqdd7B4QQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEKIy7EZlTi62+pue7M1Wj5x3H3vjQlGyfaCOK5dNRFxebZUJY6nO3XqFB/96Ec5fvw4rVZr3c8UReHDH/7wddozIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEENdLN0hho4IfYE0ljmtUxaJ7DLapYejahmyzez6kEsfWtWWDOJ566im+9Vu/lcHBQc6cOcPevXtZWVlhbm6OkZERJiYmrvcuCiGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhLgOuoEWmedxJY5uoEUmtXHHIJU4tj71eu/AxXzgAx/gla98JX/7t39LHMf80i/9Ep/73Of47d/+bdrtNv/u3/27672LQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIa6xMIxotAJgtXrGRsi43UocPnEcb9h2L6YbxLGhx9AJCKnWpRLHVrVlgzieeOIJ3vGOd6CqyS5GUQTAa17zGr73e7+XD3zgA9dz94QQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEJcB2srZWxkAESqs60wimm2gw3b7sV0Ay02o5pIN0BEbD1bNoijUqmQy+VQVRVd16lUKr2fHTx4kMcff/w67p0QQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEKI66HeCeJwLB1N27gl8ZahoXe2tzZQZLNUG8l7dKtnbISsBHFseVs2iGNoaIhSqQTAtm3b+OpXv9r72ZNPPkkqlbpOeyaEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBDieukGKGTcjavCAaAoSm+b9WsSxJEcR3ZDK3EYnW1v/v6LK6Nf7x24mFtvvZUHH3yQ173udbz1rW/lgx/8IAsLCxiGwcc+9jHe9ra3Xe9dFEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCHGNdatkpJ2NC37oSrsGK9X2NalkUa17vffcKNmUVOLY6rZsEMcP//APMz8/D8D3f//3s7i4yCc/+UkA3vSmN/FTP/VT13P3hBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQlwH3SoTGxn80NUNDKldg0oWlW4ljtRGVuJIttX2Qjw/xDS0Ddu22BhbNohjcnKSyclJADRN42d+5mf4mZ/5meu8V0IIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGup3pj4ytYdHW32a32sZm6gSIZd+OCOFK2jqoqRFFMteHRl3M2bNtiY6jXeweEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCiEtVbW588ENX2ukEcXQCRTZTtxLHRh6Hoii9Y6heg2oi4vJt2Uocv/Ebv/GsP1cUhXvvvfca7Y0QQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEKIraBbwaIbrLCR0p2AimtRiaNa3/ggju72KnWP6jUIRBGXT4I4hBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQjxvdIMT0ptQiSPTq8Sx+UEc3WofmdTGBqNk3E4ljroEcWxFWzaI48iRI8/4t1KpxKc//Wk+/OEP8zu/8zvXYa+EEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCXE/15uZV4kh1AyA2uYpFGEbUWwGwCZU4Usn2qtcgEEVcPvV678DlyOfzvOtd7+Ktb30rv/iLv3i9d0cIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCHENdYNsNjo4AeAtJNss9bc3ACItQEWGx2M0j0vmx2IIq7M8yqIo+vGG2/k/vvvv967IYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEOIaq21iJY5MpxLH5gdxJAEWKcdA0zZ2WX8viKMuQRxb0fMyiOPJJ5/Edd3rvRtCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghrrFaJwAi7W58EEevEscmV7HoBnFkN6GaSCZlrHsPsbXo13sHLubjH//4M/7N8zyefPJJ/vIv/5K3ve1t136nhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQlxX1UanEscmBEB0A0NqjU2uxFHfvECUXiUOCeLYkrZsEMdP//RPX/DfLcvibW97G+9///uv8R4JIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEuJ7afogfRABkNqMSR2eb9ZZPFMWoqrLh7wGrARaZ1CZU4ugFcWxuIIq4Mls2iOMzn/nMM/7Nsiz6+/uvw94IIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEuN5qneAHVVVwrI1fDp92kgCIOIZGy9+Uah8AlXoSYJHdhO13g1ukEsfWtGWDOMbGxq73LgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYTYQmqd6hJpx0BRNr5KhqGr2KZGywupNTcviKPW3PxKHDUJ4tiStmwQx759+y75olIUhSeeeOKiP7/nnnswTRPLsgD4wR/8Qd785jdvyH4KIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEuDa61SW61SY2Q9oxkiCOhg99m/MelXrnOJyNP45uEEel7hPH8aYEu4grt2WDOO69914+9rGPUa/Xueeee+jv72dhYYHPfvazpFIp3vnOd17W9n7913+dPXv2bNLePruFlSYzC2UWK8lF0GwHnF+oEYYRMaCpCiN9qXVRWv/zI1/j0eNL5FMmP/t9L8N1Dc7P12g0PY6cKdFseUwv1vH8mLNzZZrtCD8MUFGwLJ0bpvLUvYgTZ0tEQH/OxjFinjxXIwxBicG2dZqtgGhDjvLcFf2WrikEYYymQhQlkWsoEbm0SbsdUmmEANgGaJpKvRWhADFgmxptL+xta7hooqoGLc8jiqDR9IkVhb6szfhQllKtiR9A2wsIghDT0BgoplDjmKYX0my3OD3bJAZ0BVxLYWq0zi/d+2ruf/Q8n/nqOXRNYf+OfkxdZaXcBEXhtv1D7J0s8Kf/cISjZ0tARC7t0PZ92u0Iy9R4za3jpFMWCyt1PD8kipLjCaMQTdUIoxBVUTAMjcFiijiMmF9p4IcxEKMqKpmUSSFjkU2ZDPelOHZ2ha88MYdtabzu9m24js65+RpNz2dhpYnnRZyZq1Ct+/RlTe44OMpyucmTp5dYWS4zPN5CUXQ+/bWzlGseN+8e4OCu/t75LNfazK80MHSN8cE0cQzn5qt4QQgRKKpCf96hmLVZrrRYLDVxLJ2xgTSqunVv9J4X8MCReWpNn0LWJpsyKWRsBgpO7zWNls/0Qh1VVRgbTGMZ2oa8dxBEfP2peRZLTWxLJ5+20FSFth+SSZn0ZR1MQ2VuucGp6TKKojA6kKaYtTh8aplGK6CQMfjc16epNzwyrsmeySIvPTjIp796joePLjCzWEcB9k5mOTlTwwtCNEXFcUyi0KdUC4jjiCiGMEyuJQBTgzWX0zrZtEGj6ROs+XnW1YhRqDfW30Ms4xyFjM38cgtFBUOFdrD6PteCoYKiJO8ZxdC9aeiqgm1pjBRdxoez+EHM+YUas0s1wjAmmzK5ee8QuqqgKmAbKofPlIjjpKHnBxGDfS437xok7eqEEZydr3LyfJmT50tUmx65lM0tewfpy9n4YUy96dFsh+ybKjI+mKbthViGShDGzC41eOipeaoNj31TRfbvKKKiMNyXotrwOHxinpnpJoOjLbxQY365zkqtTbMV4Fg6e7YVKGRsoig5jmY76F2TV6rW8JhZqqNrKuODmeSefAHd55gCjA2msc1Lb040Wh4PHlnAC0IObO9juC91xfu71bz1Jz+x5m/nyLgG7bZPEIEaQ6xCGIEGxAoYBjimCXGIpmsEAdimQtuPCUOPlpd8hy1dIUIljkLaQbJ11wLHtlHUmFrNQ9U0Mo5GECmoRJTryQtTtkYUKxQyJvum+gn8Ng+fWKHRDHAtDRQFJQ5pehF+CCoR7SAmitZft5qaXEpB1LukLmC1LXCo8zxZKDVoNAMUJaTRiomiCMdWiCKNtK0RoRBFPs12TBAm113YOeaRQZco0si6BpWGj6bETC/UiFCYGExjWwaOoxEEIXGkMr9So1TzcS0NyzSIooDh/hS+D46lsVL1UOKQbNqm7UfERMwsNtC15LqLItgzmac/76KrsFRp0fYjzi9UOTNbY6VcodxIjk8FClkTQw2586yCm0rx1OllFkotJgZTvPOePYRhyINHFphfaZJ2dRqtEMtUedmBEWxbZ6XW4vjZMqoO1apHoxWScXWqjQBTV6i2fDwvYm/nWs+lTW7ZM4iuq3zx4fOcnK6QTZukbQ1F1Th2doWZxQbDRYfdk0VUFW7ZN0TWNTk5Xeb+R2ewDY3X3jFOLu1wbq7KU2dXsE2dW/cNXvQ6Xiw1Wa60cCydQiq5J8yvNPEW26Rdg9H+9LrXb9Yz9Pms0fKZXqxzbq7KwkqV//PPJ2i0L/LQ3QQqMDrgcmjXAKV6i4WlJn4YsVhqoesqLz04yG37Rki7JpVam4eeWuTUTBnPDxjuT+NaOhNDaVAUFlcaEClUmx4jA2lu2z/E4kqDE9MV4jhC1xRyKZv+vEO14ZPPmNy6dxCAajPkK0/Mo+kGO0ZzjA2mWam2mF2s8YWHZ1gqtwijkJ1jBe68cRjT0FkoNTkzW0FVoJC1OXJ6mVLVY9twlnfevQuAw6eWOD9fp5izmRhM8diJZepNj7HBDP05p9c2Xam0WCg1sU2NgYLLzGKdcq2NpirkMhZDBYeZpQZBGDHSn+4MxAR87fAcZ2erVBoeAzmHV90yzLGzVeqtgL3bCkwMZa7ZZynACyK+fmSOasNn53iO7aO5TX/PzbyvRVHM6dkKjx5boOmFlCpN7n9khkrDQ1GSPnKwMR32Z5WyVVzbJI5jUo7Jq24aZedEHtc2qDd98hmL4b4Urm1wbr5K2wvxvIDZ5SaqCo6pM7fcIJsyODld5ux8DU1VuX3/IHsmC8wuNUGB3eM5DF3rXYtjgxm0p/UdHz+xTLmxyFDR4cZdA8+576Vqi0eOLRJFMTfu6qcv51z0tWvbzfm0RaMd4AchgwWXXNq66vN4KYIw4tx8DT8IGSqmyK7JpuMHEefmqwRhxHBfirnlOqdnquTSFjft7sfQV797YRT3PovBgks+k+x/qx3w2IllHjtZR0uXuWGnjaYqfO3IHE+dXmGw6HDjrj6q9eCq+u/1ps/Z2SqL5SZ9eZuJoSzpTRhU3irWnu+BgkMhc+V9LoDv+Nm/o9rwybgGd9wwxKe/cg4FuGlK5eunVi/6XEqlXE/+PpqH6VLy7yowMuByfiFpnL7qxiL/+ugyALq6/r5xaIfDoyeSsa6xfpfzi43ez+6+JcNnv14FYN9kllLNY36lhW1qDOViTs5Hnf1QKNdXewB33TzM5x6a7f35y0/M0/IiUrbG3beO86kvn0EBvunVo/zNfTM02xHF7Dz5lMnxmRoA73jlOOcX2yyU29yyZ4CzcxW+/tQCuqbynW/aw0f/6RgtP+KG7QX8IOLImRKWrvLetx7gj/7xKTw/5FU3j/HEySXOzdewTY1vfe02/uSfThGGMXfdMkq15XPsbIWBvM3bXjnJH/79UaIYvuW1u/nMA2eZnq8z2Odw181j/Mk/PgXAt3/DHpYrbc7O1dg9kUdVYj7xryfRVIXvffNu/urzp1mpeuyZzHHXrRP8/f2ncQyN733rDcysNKjUPHaM5fC8gK8dmSfjGrzq0DBffGyuN/YWxhFfPzJLo1pl25TPXKncu+49P2SpnLS9cymTR44t4gcRB3f2MVBwe59Byws4P19LPteBNOVam0rdI5syyaWtXn99uM/h/kdnmV1qsH00yytuWq18vfae2JezWam0euOMd982wVOnV676edvtS7h2cr+5lhNDlbrH3HK9N66pa6vjG6dnKhw9WyLtGty6bwjzImMfV2thpcFXHp/lyOllyrU2S6UGZ+Ybz/2L14AKGDr4AevG9WwdUFX8ICKMknuKqkCkQBCsvk4BsikNlYhSPUZVIJ+1mBzK0Gj6LFZaqIrC/qkCw/0pZpYazC81OT9fpuUl207mRcDQNCxLwTF1FFXB0BRa7YhUyiAMIuqtEFOPabXa2J9aQNMMWn6AoagMFh1yaZ2j5yo02wGaqpBJWRQzNoNFh5H+DBPDKT7+LyeYXqgSx5BLW/QXHVQgjsB1dKp1j5YfoSpQzNoEYUij6aNqGjfu7OeuW8fx/JAjp1Z46Og8zVZAGMWU6y00VSWbtsg4JkNFl9v2DfLU2RLzyw0G8g79BZtc2u7sk4sQW10QRjxybIHlcpvJoTS7JwsoisJSudl7Rg0XXaaX6rS9kELWotbw8YKQlXKLw6eWKdU8Chkzuf/qGpW6x0qlie/HDBSTtlS51qbW8NENFcfUcSyV4+cqNL2AvRM5+vIp6k2PY+cqpByd/pzN/HJn/k5VSKdMhvpcHnh8ni8fPo/X9tj2pRopx+LsXNKmzqYtqnWPUrVJ20/uXQC2ldzn/AsMzWgKhNdyMqO7T4aCqalUWhceL8q4GtXOfKmlQzplYmgquqZSyFgcPVsmiiP6ci6urTG73MQ2VF59yxiGYeAYGucWqxw9W6JUbVPM2Nyyb4DjZ0ucnq2Rz1j89Htu5l8fmePMXJX5pTr1ZkCr8xl/w8sm8X2YWyxz5OQ82n1VQGHbcI5b9g6yWKrzma+dxzY1fugdBzkxU2FmscG2kSyvunls3bE8cGSWwydXKORsXn/7JKa52s+pN31mFpP+9/hgGnNN/9sPQs7N19aN21xMEEQ8+NR8r22Wdg1K1TZpx2CkP4WiKBdsK3zuwbOcnasxMZTmrlsnruITvX6687Vzyw1a7YBC1uLm3cmYchiGfPaBc8wuJf33XZMFpudrgMKOsRw7xta3+SoNj4eenKdS94iJqdU9zs1XqVVLVKM5YlXj3FyN5XKTIIopVdsoqoIfBAzkXPwwYqTPZXQgw8sPDvBrf/4oZ2croCgUMyanZmqgQDFnc8P2AY6dW6bZDlmsNAj9kCC8+JiIoYKqKXh+/Iy5ClNL5mGieGPmJjUFFBWIQdOg7V/5tnQ12SfH1HAdg3xa58R0snbDNlVMU6VcC9BUGO1PYegK04sNwjCikLHRdIW8azK/UkX5u3nCCAZyDgulFnEUEkaQTek4jsXNu/qZXUrmPxbLTSzTwNJVhgfStFoermNhmioZx2Ch1EIlWZjm2DphFJN2TW7ZM0C+0//tzidU6m1Mw6DtB7iWQb3lkXYMilmbW/cOoqoqURTx8NFFlsotxgZT7Jkscn6+SssLGcg7FK5iHvOFZu16jPPzVb56eB5ViXnNrZNk0yaf/uppjp0tU2m2mFmor2uTP7srW7tzuXQtyRTd9gJarQhVTfoZUQxxrGAaUMy47N5WIGXrPHlykbMLTQBcUyWIIe0a3LxnEE1VWSw1sQwVw9A4MNXH/u1F6q2Ap04vU28la28mRzLsnSywVG7xwJE5ojhm52iOkzMVZpfrTA5lmBzKks/aFLMWx8+VWSw1yKUtLEOjkLMppJLny0KpSXWmQa3h05+3STlG0n+rtslnbMpVj0LOYs+2AuVam5Vyi2zaYqjo9sYgu2tP5leaFHM224YzfP3IHA8fW8Qydd74iikmBzKsVNtEUUxfzmap0gKS/rxjJXNza8egDV3h6NkSpq5x674hLFN7xrjU2vmOC42xbrbuczkMY0b6U6Qcg9mlOpV6soZlpD/VOyZFgfGhzAtivrDVDji3kIxtjQ+kn+PVz7EtL+DcfLKttd+FCwmCiIeOzlOqekwOZ9gzWVj387/8zJP85b8cR1Xg+99xkE/dd6o3lvbLP/JqfvRXPtt77b99/U7+7J+OX9E+/9tXmfzZv65mcL/r1kE+9+B87++37e3jgSeXen8+cnqZeit5Gn/LXRofv+80Xqdd/h++cyf/44+OE8WQsTX+3bffygf+9OsEQcSrbx6lkLX4my+eRlXg+952A7/1fx7utd9/4p0388UnZzgzW2NyOM2977qFX/mTr7FS87jj4BAHtxf5X3/5KGEU887X7OT4uRKff2gaTVP48W+5if/vrx5lpeaja/D//MhL+Jt/Ocv0YoM9kzne9uod/NqfPkStGXD3bWPctm+Iv/zsMQC++e5dfPGRaT739fO4tsb73n0rM4tNTk5XGO5zueuWMWaXm72xtmzK6o33j/SlaHkBjx5bQtMUbt07iB9ELJSaNFoBtqlRqtaZW2xTXG4waTur133ewXWSNaNRFDM6kMzVXKq1cxIXmgsp19rMLTewjKRd/OSZFaYX6vTlbPZO5Pn454+zUGpx464+7rl98kq+Oi9YGz1vIK5crdmtxLE5FTIA0q7JYrnVCxjZDL1glM2oxNHZZhBGtL0Q+1meO+LaU+I4vg7DUc/tf//v/82nPvUpPvShD5FKrS7wrNVqfM/3fA9veMMbeO9733tJ27rnnnv47d/+7asO4nj00UeJ45hdu3Zd8u9U6h5Hz5Zpe23m5+Y5tH8btVYyOX9+oU4QRmwbzqBpCge3F9F1lU98/gT/57MnegMLI/0u3/WmfbS9kC88MsNKtc1ypUW55hFFEd4FOmua2u0cXdUhv2CYnUkpReks6u5IFqUqxMSEFxgI0nWFQzuLLKwknapKs41r6uQzFs12wFh/Gk1TGOt3+MIj87T9gHLdI2WpNNoxhqHiWBqupXNoZx8rtTYAS+U2gwWbueUWAwWbxVKLYtZCUSCftvCDiGY7wAsiKnWPsf4U9VbATbuKZFMWfVmbT953ijBIDmaoz+El+wcp1zyOT5eZXmjg+SEnp6tkXJ0ghJ1jaZYqHhBB6DE+XKAv53JyOpmwV1X4ltfu7E0aP3Ziuff9KWQsgiiiWvdZLDUp132mhtNousrkYIoz8/XeSNhgwUkW+l1jzWaTU6dOMTU1heNcfOHOvz48w/RCnVrDp9b0uXVvP65tsHsiRzZlEkUxj55YJuiMDDq2zoGp1U7Q4cOHMU2TG2+88bL38StPzPLU6RXmljsTHDk7CbCwNPJZOznPQcRiqcnx82UcSyftGjTbAYamslJtc/TMMn4Q02j7KIrC/skCpbpHHAecnFk/EXzxhdYvbqrSCRgjpu2vP0O6miwS1VWVcqMNMQRhTBBFZFwDXVMZG0gzNZKj3vQ5OV1hYaVOvRV0tq1gmSo7J/I0WwFtLyTlmKQcnW3DWfZPFTk7V8MwFL72xBznFpLFJoqicOOufm7bO0St6VNveiyu1FlcXGTX1CjFfIpmO+To2RVAoZCxGB1Mc+fBEeZXGswtdT57BQ5s77uiBVR+EPHw0QWizk0ymzbZt634jNfFccxDTy3gd64R29I4dAkL7Lo+df8pFkvJAJ2uq7zjrp2XFQRypRqNBocPH2b//v247tVNmj/wwAPPuA+sD+C4MhtxzWqdQJG11M6zL2XrtP2Q4BrNRF5oXy5X2tGpNwMyrk6lsb7BM5C3KNd8TEMljGKaaxbFq2oyoRuEMUMFl7mVBrapE0QRURRTSJsslNsYukIYxqDAUMGl3vK5dd8gCytNgjAiDCJOzVSxTJX60yZRu8OhKVcnY5sslJqYhkKMwoHtfRQyFk+dWcE2Nc7O1ylmLSxTxzE1Xv/SST79lbOkHIMzcxX8ICJjm8yu1Bnuc5lfbqIoSSez4QXceXCYfNpm77YCpqHyqftPA0lw5XDRpd4MOD1XJeMaVBs+20cy7JvqI5Myee1LJvidjz3au2aHii7vvGc3n/z88d5zfmwgzd23P3NislL3OHJquff3Ylrj3NmTaO5Qr8Ld5HCmF4wVRjEPH13oPUNdW+fgzv5nbPf55mL3jwvdC54u6pyT2eU6jxxd5P5Hp6/6urhSlgaKqhLFyUL4LlWBVx4aJptxmJ6vcfTsCp4fEcQRmqqStnUcW0dTk2ut0fJRVZWBgoOpq9iGjheGzCzWyacs0q5Jsx2wf0cfuqpwYEcfE/0Wn/jnh9CsAoZhkM9Y3Lirn7nlBvc9MsOTp5cp11pAMklfSNu88uYRHj+5zEq1TRjElGotag2/0742eM2tYxzY0ccXHprunetSrU3KMXrBxS87OMJIf4pi1ubxk0u9m2y53sYxdU7NVtBUhR2jOWpNv5eBQtMUbto9wL88cJbTMxUefHK+s/g1TRhF7BjLA0nf4i2v3HHNFn93beQz7fnmCw+f59R0JfmLAm+6c+pZF+1fqoud0+e6rz3wwAMYhoHv+1f0eZyerfCvXz/Hmbka88sNTs+W1wVOXw+qCvlUMjk5OZRGUVQGiy7FTgB8qdqm1vB44MgchYzF7HITzw9IOSbTi3VKlRZ+mER9DhdTDOQdxgbTqIpCJmWQdS1SnbbqUNFl20gWSD6Df/rCQyy30hhG8vOX7B9m71ThovvqByGfuv8U5VoyqJl2Dd74sqmLDjyema0w22k3Ty/WKGZsbEtHVZO2+LWYSHzqzAqlajIuoKoKh3b19xYmrf3ZSjWZxO+2N/ZMFrjjhuHedk5Ol1lYSdrUigIHd/bjWDoPHJnjsaPzzC8sMDQ8wMsOjuMHEX/3xRNEcXLO+nMut+5LAuxGB1KMD15eMFoQJv2GU9PJglnb0tg+muOm3QPrFkk/3629L8yV/Aueb1jfHriU+/N7f/FTzK20r9lxbGXdrFiNln9Z7aPuuoToObo1CvQSE/hB1PuzFyQLtVVFIehspHutxcD4YDKm5bU9FspJUF33/fTOm4dRjGWopDptB8tUedVN4wDUWh6LK81e4FWt7pHuTJA0Wz6qqqCrCpVqhcnRfm4/MApAyw/QFRW9s59Hz6702uu6rvLOu3ZidvrOjxxboNXp/zRaAY6VjCt0kwd1J3KPnF5mZrHeOydvvHMbN+1Orv+zc9Xez2pNjy8/PouqrB7fZDdQVYE3vmwb/fnLe8aVa22ePL3S+/vYYJqxZ1ngsJHtG88PewF+APmM1VvgsFJp8Xf3neyd26mRLK982uLSK/H0NoGum/z5Px/lyVPLnOzcL71rEZl5na0d11CV5J7p2jpxDPVmcEVjHs81VnKhsQddS/rTUyNZTs0m57/tRet+xzZ1YmLiKCaKYiJiFFQMTU0CW+IY3VAZyLvcuKOPkYEU9z08zexyI1lA5oUQx6gqoKjkUxZ9eRtNUXBsnVoryWozNpBi53iewYLL7on8llu0+GLuW2y0C40RPB/P74NPzvHEiWQsSFHgVTePkc/Y68aHwigZLwA4P19joOAwt9zg60/NU617VBoejqWTsnXyaZvlaot6y8fUNVQUHEdHUxQarYAojsmnLRZLDcIoWYxtWxoTw1mm52pomkoQhDTaAQN5h7mVBmnbIJ+1WCq3mF1s0Gwn9xeF1TnAF8vciKJcfB5YIbkX79lWpFRrsVJp0faS5IKd9ei9bahKkgBrYijLmdkyrXbYC2bRdQXH0BgfyrJcabBSaRGjoKCQcQ2GiilOzZTROn0B01DZP7WalvQbXrqNWzoJPk5Ol/mLzzzV2+cbdvTxllfuACAMIx46upCM1ZL07w5sX93O4ZPLvQUt3XGbi/U/vvTYDMfOloBkgeTkUKa3EH1iKENfzn5GW6FUbfPZB872tvGqW0Z5+Y2X10a4lLHCzVRv+jx+comlUpNHji2SdgxyaYt9UwVu3z/M5x48y5cem6XRCmi2AwYLNmGUJIK0LJ03vHTbusDhT3z+ONW6x5FTS3hByFK5TRRFEIVkUjYp18LzQ2aW6ygxtLyw953UNBVdUyhkbCaHMyyWG5yfr9Ns++sSzHUZajJu+WJoL12Ntf2WZ6OrCqahJgklw5ggjJJrNI5J2TqxquBaOkrntX6UBOXGJIEcmqqyb1uBdMrina/ZRaXh8cnPH6fe9Dl2voyhKfhB0idq+xF9WYuxwQw37Ojjlr2DPHx0gUePLfb2Z8dYbvV6VeDgjr7LWny61TzX8/1S7wVtP+SRowvEMcwu1fjMV88SxzF+GDPanyz2XS63WCq3aF4sE+PzRNrR8YOItv/Ma1xVk+dSX86i7cf4QUQ+YzE+mCbrmgz3pzh2vszsQh3b0hkbSGHoKjEKp2cqGLrKYikJhIniGM8PuXFnP1MjOeZXGsRxzEpnPHP7SJah/jSFtEazPIOZHmZ6qYUfRPTlLJ46U8I0NErVFrNLTUYHUuQzJmEYs20kx0onScH4YIYD24ukXZPPPnCWU91xOgUKaYsvPzFLHCd966mRDDfuGmC0P4WmqpyZqzI2mEZTkuv0pt0DRDE8/NRCb1Hlg0/N0ZdNxrwHCg57Jgu9cSkU2DGa5cR0pXczWDvGulGe63v+xMmlJBM5yXN5YjDNqZlq7+eTwxlmFuu9uUnH1rnxeT5fGMfJXIHX+R5bpsbusdQVzx8+fHShl7S4+124WPKLrx2e5cip1TGWu2+f6I2xzC/X+YH/9hm6Sz/jDQpi3Aqe7bnnrAkENg21N06oKND2wl57Mwyj5wzSXpu5P47jXnu0e02rnWdYFEYsllu91z59vmj3RH7dWLumKb1tRXHMyZkKYfea6PR56k2f8/M1NFWh1fbwGisc2DNFynUIuoMdSme9R+evuq5y8+6BS07OdPTsCiuV1TmJtXMhSWDJYu98tbyAM7Or1/L8Sj1J0tXx7jfu7Y0tXm9bob99sXkauP59g822Fc7/Wp/+yml+7aMPcdu+QX7u++/clPf4j7/1BR47vsT733P7M5IVbJT/9Ftf5NHji7zv3bdx163jz/n6y/kc4jjmnT/1NwRhxO//zOsZLFz/z+2F5GKfxaOPPgrwnPeCLRtS8yd/8ie8//3vXxfAAZBOp3nve9/LL//yL19yEAfA+973PuI45tChQ/zkT/4kxeIzF6ZeCt/3OXz48CW/frkWsFBaTclw7MRZGu3kyTqz7CWDif5KEkjQnMM2VB58Yr43cASwvNLg2PFTAMwv1vD8mEYjuGgAB1z9oskXmu55evpgZhSRlCW5WKMtijl5dhlN04iJCPyYehiixAFBCKVygKqqLC2v0G6HNP2AOIJGO6m24XsRKhG+5zM9u0g7SDqeLS9m1m/S8mLm/CZtPybymxi6SqOWNOTCOOm8ez7MxS2iWOHE6RZ9GZ3TcczKympDqdmsktVr+EHMubkWtWaShd0PkjJOCipnZjyiSEFVk8zs0/MrlEplaq3VL8sDjzzJjmGHeivk3OJq5OCcoRBGEIYxixU/WfjulTB1heX5pEJK19KCSm352i5kW+vUqVPP+vOjJyo02zHVZogXxJw43SLn6rSqsxTTOn4Qc3J2teGtKKA0Zzdk3yq1NlEcJ0EBYUy7HaKqSbWWthfgBwaeF/YiRP0wwvMC6k2fVCdatNkOUVWFuDMRUW8HVOoelvXMBvoLpXO20WLoLdp+uihKFjbFukIQRKiqktyPOwMtENNsBbS8gFrLJ4hCwnA1009MTBhG1JsBYRj1BiZa7aCXpc/zQxqtMJlcipOsf34U9QY6Wu2gFxQCUG8FpLwIzw/xg6i3254XJtttr3kQxMnvX1kQR7ju2dNoXfgBE4Rx77iS/U1+71I7iZU1UclBEFFreNckiOP5YCOu2Qs9/7sfqx9ERNcwujPagLZI2Dmg8AIrtNpe8t0LwoggWP/zOEqyicYxNL12ZxtJAEcUxbQ6K2SjzuQwEYRxTBxDpebRbAco8WrE/oUWiHX/yfMimkqw+m8xLJebveAZL4ggjmn7IYauUm/FVGoeYWdfPC8kjGLaQbLAw/MiwjBCURSiOFlQUq175NN2Z5FqdxAueZY0WiG1pkccJ9uL45hq535SbXisVFrrrtlSpU2l2l7XJuqWZXy6dfcXoOkFtP0I9yKvST6L6II/e7EKo+RZUO8EIV3PNroXgtZZpLRWHEO56aPqGrVW0j/pPPKIwpgohrYXoWkxqtKZoDOTDFNhoKGQfFfDzrVlBhF+GOEHIbqpU6626c8mbSyt00T0/JBKLQmWLFeTdlcYxmiakiwINgMa7SBZ0BHG+GFIveUTdb7nAHPLDUbXLAQMo5Bq3esNPDa9gChOAqNb3vqyYNW6l2SmipP3DcOYcs3rBXGEYdzZR4+WH/buAUEYUa6vLryN4+T6udZBHC9m6+5XMZRr3oYEcVzMZt/Xmp12XxRFeH6wZfrxST80pNoIyKbMTjXJuHf+602fKIaWHxFGEc12SMpJKq6FUdLeUEmu53rTIwyj5B7T8DENrRfE8fT2Zq0ZrWujr9RaPJu2F66bxG57Ia1nyR7TWPP5tf2Qtp+8NoriTsW8zQ/iWPsdiqKkfdAN4mi0VseOqo02/pqflZ52Ltaeu7jTBzCN5Bx323thEFNreFQ7nxckz6Fq07vgdi6VH0SEYbLvAJ4f9e6bL6QgjrUudL6fLTvesylVNy9L0/PVtbj3XU4vqNVqY9tJgpXugtALWdvGrjdWr99mJ2t1N4hjpdrqBXG0vGQcMW3rnZ+ttitarRDLpBfEsVJtk++0MYIgot4KME2dOI57ARwA9aaHZdjJxHAUU2/6vQVRS+Vm8qXtLAJYWDuWuOZ+VK238f1kfAqgVGmtBnHEUKq1LzuI4xl9iSu431yptr9+fGPtvpRq6/tC5drmBFU12gGtzn9RHK3bnxey+Gl/jqPk+xtx5WMez/V7F7qHxHEyrtpdBPX0899dUAVJP4Y4GUNQlBg/jHoLUPUYPD+gVG2RS5u0vJAwSvrs3edtHIFC0meJopiG76N20my3vACv066C5Lt48fBUIbaGcnV9n7dUa2M9bey2XGtT7CwsbPkBfhBRa/rJ+HUYEccQBCEtX6Xe8gnCmDCISUItQjRf6VT8DQnDZBstP0RVVFQ1GW9uNTy8IMTRVNpe0nb3w047tDMW2Gwlc2C9/WV1DvDFcdflWQ80ZrWqiOevn8fo3jrXtnO6iwi785O97UQx7SDED3zaXtSp4ByjqQp+GFGptwmjGK3TnXp6H2OhtNr+mF9qrHsOL5VXf9btZ3Q9fTtrn+fP1f9Y+3z3/Yh6y+8FcTTbwQXbCgtr9gVgqfTs/dGtqNlOxr+q3TnGTnu125fvHlPUGbhfLnvkMiZ+GGPFyXlbG8RRbXgEYYQXxLT9ZHwkJkYlOae2bdJo+8mYtr/6/VFVhSAI0TWdtp98bsvd977Id9aPwHxhdic33KXe37r30O4C0DCM0FSFZmfcpN1O+hf1TiJBL4xRNYV2O8Q0k4D3RtMnCKLefELbTyJwmq0AXdeoN310XaPV+fxLnWuvVF1//SyWmr1EUMSsCzx/MWt15okhqQy/NgFbte7R9kNaFwh6eD5KxpAu3LuOO23xlp+sr+nO4zWaAYauJesrwqSdbsUx9VaArim9BethGOH5US+ALIqS+1cyH+/3FsX7QUQ7iJI5uVCl0QoxUqtz3vV20AlGUwii5BqK45i2F9H2ArzOc7I7HtZoB0l187pH0H3GxjC7XE+OqbN/lXoy5xiEMaoSJ33EMEbTlWRMLYoJgqh3rbb9oPdMBih3fn/1hEGp5q27GVyPubinP5cr9fVlimoNb924yQthvjBZ57F6TBfqa16q7nh0V/e7oGsXvk6ePo9bqrZ7QRzHzq6wNnf3i6YdvEa96eN0nitxnJzPbjKXy81t2WwHmJ0xvSAIqTY9cumkHVnptI26bdD6077Xc8uNdUEc5ZrXW7fT8gJaLX91vLDSZmJotQ1Vb/loCvidHS7XWr01YsTJe3crDASdeVhLvbT5jKfPSbTaQW8uZG3AC9BLxtq1diwRkuRYWyWIYyvYyHkDcXWuSSWOzvVce55W4lCUJBHDSrVNte5JEMcWs2XvHHNzc2jahR84mqaxuLh4wZ9dyB//8R8zOjqK7/v86q/+Kj/1Uz/F7/7u717RfhmGcVmVOFrtgMOnSzRbLebn5rlx/3aqzWRxnZ1p9spmOZbGvm0FVFXh7UqRX/3zx3oN+31TRQ7u30m55rHUXuD8fANV95grNUmrEbUL3BssA4Jw/STGiyXzzIWkbYV6K0ZXk4Eg6GbkU1CUZJLzQpnJFVXhtS+Z5JETK9SbIWHsk8+Y5FIm1YZPPueScnRu2lnko/98Ak3X8UOPXEqn2kgWUViGRn/OZtdUH7PLDQxNYW6lyWh/inPzdcYGXGaWGgwVktKyQwU3WTTWSBZ4rlTbTAykqDZ99u7sx7V1tg9nWGmfpNrpDO3dlufQrr6kLKpb5+R0lb4iPHFyhaxr4oURt+zt4/R8Az8IiPw2+7cPMlBM8+CR5FqyLI27XrqbtGsShhH26VKv4zDS5xJEMQsrTXJ1j5Vam4nBNIausms8y7Fzld7g6rbhNP35zVtIdTGXWomjrS/y5OkSqc7CwD07+7FNnf3b8thWMhluZsvUOw/4QtZix+hq5oLLCeJ6usnhLLNLSTZ4RVHIZUx0TUMBMq6Ja+u4tk4QRswvN3BNHdc1SLsmnh9RbyaVTparbXRNRVEglzJJuwYr5fozsi69mK/5Z6MpSZZMUAjC9R0ry1JxbRNVgcDR8f0Y9IgwBENVME2NYs6mkLFxrCQTh2PrvQXhqqpgmzoDeYtKPcDQNFQlqe7Rn3fQNZV0ysA0bPrmq5SqHooKactgtDOA2Z93MAyNc81ksHOwYJNLm+gtBdfWIU4aV7m0Sdo1k4mSzoNA11SyV9iYs80k03p3YUXfRTIDGnryHt3BgnzGuuQADoCJgTTHz5eBpOGZT2+tDITX04ZU4tAgfFpCnm4wQdY1aHrhuiChzbxPGIa6bjDrcimAaWi0gwhdV3r7qpIM6LqWjhfEOKZGYMRU637vZ7quJAFvIbi2Rb3ZxDBU1AAiNcQ1deqNAE1VUaIYRUsGxgxNZbjooqgK7XaA6xgs19qoF5hA0tQkUCWXNsikTBrtAF3TiKKYfdsKuI7JYqmFaSbZdNO2gaFpFHMW/XkH19bRO9dTsx3iODrVuo9r69RbybWuayqmrtHXea5ODmdwLK2TlQ4cS6cvb5NydEo1D01LsoaO9CcDd2P9aYYKKXJpqzd5OTWWZbDg4Fp6bzHrxPCFM3DnUua6LCGFjEXF1oi7l7wCxTX3ClNXSbtGLyhtq2UYvR4MXSPjmvTlLU7NqqQsjXo7fO5f3ASuraAqGm0/6mV6SfZRZbiYJpc2CfyY+ZUmURzjB2AZKpqqkMtY6KpCo+WTsnXCOCadssi6BhDTbEfYhkbWNUk7Ooau9gYAJ4bTZF2dlKURdb47mZTJ2ECG07MVpkazSbUcS8MPk6p0g0WXjJNcKzOLdXRNZaiYYm65ga4nbaBDO/uZGMpw+NQyYRhjGDqTw1nCKEJVFApZC1VR6cvZZFwTXVd7i/HHhzIEQZRc97qWZIoaSvfaUa6tY5s648MZKg2/V8nHNFR2juV6586xNAYK177d+2I2MZRhuZPpyDQ1hvs29/xv9n2t2Gkjlqpt0q6JbbbWVZa61hSS52wubZJNmwz1OTTbIWnHwLY0+nMO5+ZrFDIWtqmRsg0aTR/bSPo0A3mX2eU6ih9BDMWMxUhf0m9ESbLCpdYEGxdz68/nQM6gm7BNUWDbRZ5PXY5tMJCzOb+QZJIvZC3S7sUXARSzdq/dXEhbvQUDlqmRsq/N8Fgxa/cy31tmUrVz7c+6lUJG+1OEUYzvJ4Etk0PZZ2yn22c1dJW0a6KpCkNFl7OzJSDJcNefdxgsujx4ZB7PD7EMlbHB1WQpfbnL/05bhoZr62Rck3KtTdo1evfNF6q+3DPP95U6uLOPB5689DHNFwPbhNYmzHusTV5om8pqtjp1tQ+kq8q6gHFdA8exiONkfEBvKb0J+bVrBJPxmNX7zcSaa3Qgl0x+dLMI757I9xbeDORdYiXG69zrd4+vtiuKueR9u+2RnWM5ljrPvFza7AWbKp12TjeD3nB/qhPMnXw/R/pTvTHOfVPFXjY9TVPYu211+Xhfzu5V/xkspClkqzQ61Qd3r3mdaWoMF9cnWboU+bTFObXWO3+F7LULenUtvZMwJTmetX2WoWJq3c8mn+NZc6WyKZOBgsvMUp35UpNAjwi8F/4oXbef3A2AMk2VlGMQRBG+Hz1nBZ21emMAayprd/9NWfNn01TxOpnlu6/RNRXX0jENnYGcw2K5SRCEvd/VdTXJ1NlZdByFUSdzfzKu50cRCklG6oxrsX0sqaBRzFqU621MQ+sszEr6HqqaVAvUNZXxfPKdKoVt8pmkAlnKMVFVhXxGgr/F1jcxnGF6MclabRjJcyXjrB8fmhzO9vpIxayNbWkM5B1yaasTPBXgWAbZlEkhYxHFTeJO9Q7T0JNKVlFEpamgmgoZN8lwnSQ9ismlLfIZi2aQLMpMpQxMQ8M2dGxLTyqGWhqDeZdmO+hV5lOVZOw/jEjGruIXwfzIswzuJmOrSqfdYtFoBYRRkqhCU5P/ejEwCgz1JW0Y29LxI4+o8zNNVSikTWzTJJuOaLY8UJKGkWMZTAymqTX9XptqfCDdm6tSFdg7me/t087JPPc/OkO788a71/zMMpOA/267++l9lWLOZn456S85z9H/mBzO9BacZdJmr32GkrRJLtRWSDsGTxxfJIpXK5g832RTJrqm0p+zOT1T6S0g67Z39kwWOHa+hKFrBGHMjvEsy5U2tqFh6trqIvuOsYE05+drpBwdy0gWGfp+SBypDPW5yZiaYlFr+FidCtG2qeEFEa6rE0eQS1soCty0q58vH57DUBW8TtWHtc9311ave2XS54U197k1/7TuNtCdrsunLbwgItWpdm5bGkEQkc+a+H5M1jUJ45ica1Jv+9iW2qkOrqOqq98JXVeT+QTHwO+Mp+bSDrWmTz7jUqm3yaWSNs624aRftG0ky9n5Gqzph3Tv1d05EZEsBOzeiyYHMhx2lvH8iLYfMjaYph2ERLNV6s3ndzIIheRYkyQgz+wTaIqSfC8cg3o7QlWSgKL+vEMxbzOQd1mqtEjZOpqqUMyanQWaCkvlpG1eyFqdYIgYy0zug2nXZLgv1auil06ZOKZO2jWSapZpHUVTSDsGtZZPX9ahVvQJwohGyyOfTua/U45OsTPmWG8l1bw1TekldpocylCqttBUBV1T2DnWz/RiAz8ICcKYbcMZBvJJVXNFURgoOL2F+tl0ct/WVKX3DEzZxrq1NhMDaYpZu9f2MnSVkT43CR7pjDtcj7m4YtbuPWtdW2ew6LJSbSVjGgoMFFz8IO4tRi1mnv/zhbqmkk2bvfHly10jsVa3f9gdl+l+Fy5mcjjDdGcMXNMUxgZWn9k37SpgGGoyjkwyBtZ6AYw/rK0cd0FrBgi2DWeY7wSM6ppKMWdSrSdz4I6p0vQuvl7B0ler26lqcm4XVpJtObbBxECGcud7PDmY4dRcpZdccrw/1esnJVUYVqvIaZrC+GC69xkXMxb1otsbz9s+lkXXVVzbQFFaDBRcVsp1HDN5Hk+OZHsBuLquMtqf7q3PSbsGpn7p0a/FrN37/limti4hbMoxsAytF6C2ZzLPo8eXeklxb94zyANH5oHk/nNwx8Alv++LwUbOG4ir001y+mxzhFerOz5fbfjP8cor1wvi2KTjyKTMToWyzTsGcWW27Azrzp07+YM/+ANe/epXYxirX0zP8/jQhz7Ejh07Lnlbo6NJWXrDMPiu7/ou3vCGN1zxfimKclllgFwXbnNd5pbKWFGZkYEc222HpXKLA51nahjFFLN2r1H2ylu3Y9kWf3//KSYGs3zPWw8SRTHLlRb7tg8yvVCl1vRpewELpSbVhsfJ6TK5tEm55jFQcJNJuSjga0eSEqe37h7ECyMePbbAmbkaA0UbFQVViTgz28DUY9IpB1VRmF6ogQre065XA1CNZHAgiCH0QTcg8JMFk5oKwZrEmTFga5BKmRhqSDNQUeII3wuxHJOCq9EMwLYUKrWQ/rxFoxXSl7PJpi3U2OexkxUAJgdtQnTKlQYrtYDBvIUfKpgazJVaFNMme7b3YWpQrvtJ5p96k3o75tY9A1iWga4pTC/Wydgm8+UGhbRBMZeUW6zUWvhRzFcen6FS85kaSdFsNLn7Jdt56137WCw3+OevnSHtmOwaTyYyaw2Plh9waNcAacekvy/Do8eWGCw6SRZPS2ep3MAxDF5yYABNM6i1PJqtAMfUaLRDUnaygNIxNZpeiGNqpF0LVU2ip70gWWTR8iKKObtXnti1Db7nbWkeObZAyjZ6ka79hRZ7pyJediig1vB53R0B5xfqTAylGelLE0chh08tMDs9zTfetZNMJsP4YJ5yvc3+qSLFNVlsb9nnslJpYRgqhU6narCv1YksVgiCmFzGwjI0ctkM5Woby9SueyZix3Ge9Rp9+U2TjA7maLQC+vM2xArZlLkuW+tNe12Wyy1UNWnQXqxs4eXaM1kg5RiUqi1SjpGUD+9Ueuguvtc0hZVKm92TefwgZrgvWeh0crqcLITKOXzl0WlKdY++vMlQMc1t+4b50iPTHJst8fhTixi6wl23jPLw0WXK9TaOpScTLQacnK5AFOH7Kg2/RbMZYhg6I30Wp2br+H6A3fl++iEUMib7t/VxZq5CqdZGU1VsQ2N4wCGOVBbLDZZKDRqdxEZ37CsyMpTja4fnMHSF0YLFkXM1wiimL6Uyt9Km0QbbSBab+yHJZIDKuspCmpIsjAzDEN+HIHkJ+YxBpeETh5CywXVMbFNlvtQmCGJcV6eYsci6Ji0vpul7KJEKSoxrG/RlHcYGM0wOp6m1PGYWG5yfq1Kpe2wbyXLLnkG8MMbQFDIpi8eOLxAEEcN9LqWax/hAmqmxfLI4PIJX3NRier7O7FKV2eUG+YzNHfsHUTUNXVWpNT3qbZ/tI/lkgKXps397Ec8PObC9yKnzJZYrHgd39tGXc/DDiGLWxvNDTvWZnDpZ5/b9Q6RTLqVqm72ThST630gGTw1dZbDgJh0rLySXsXrZei+XqirsnyqyXGklndtnGfDZM1lgqdxCUS5/4dedh0YZ6kvR9gN2juZ6WUaf7z75P9/OW3/yE72/37A9j6oouFbMU+ca7Bh1OTffTAYYMzozyx43bC9QaQakbZO+vMPJ6RKHdhZ55Pgy/TmH2cU6i5Umt+zp59i5CiN9KQ6fXqHVDnjVDSMsNduMFS2OzzRoeQEv2TfEk2dLTA2neKAToHfznjwnphvcumeQTMpC11WePLnIiZkKB3cUObtQJ22bBEHEuYUq24dTPHJihWLGZrHUpNr02DuRZ3alyWhfmoWVBk0/ZCCrc2qugaODZhg0Wz5pG+YrMFo0edWt2wAIQ58jpyvsnsjw1cMLmJrK1IjD9JLHTTv7ODVfI5u2qFTazCzVuXlPH0+dKTOUd9m9rcBiucW+qTxHTpUY60/z8NEFai2PV986ynLJY3zAZamSZHOJlYjHji1zYFue5arX+U4XmF5sMNmf4sj5Eo5pMNrvMLPUZGzQ5UuPzZFNW+weLzC/XOfmPf2EkULKNijXkwj0t75yiq8dmWfbcI7f/8RjRMDLDwzQaIfkrRYvu3UPum7SbLd5+NgyN+/p58D2AVQVbt07wJm5GlPDac4u1LBNndv2DdNqB+yb6uOpM8ukXYO2H7G40mByOM2Z2Rr9BZflSpNKvc1te4do+xG5tNXLqvLuN+zj2LkyI0U3yWgaJdlzj54rsXdbnpRtoWlJmXJVVfmuN+3j68cWcEyDW/YmbYY3vnw7p2bKuLbO1EiOC7EtnRu291Gpezi2jkbAnKkyNVUgiHVSjrFuoEdRFPZuK657hgrYu61Af95haiTHm+/cxp/+wxFmlqv4UUy55LOR85NGZwW2qkLWVokVHds2eMWhIbaN5CnV2pQqHkEYcnKmTBQpvP3VOxgbyKCpSeanM7MljpxeQVcV+gop0o5OIWOBqtJoegQhtNpJhucbdw5Qb3kcO1cm4+p4QYRj6Qz1pVhcaVLIWIz0p2k0GuwZc8gPDqHrJiP96eT74xqMDaTZM5lcg4auks/a3LJrgAiFXRN5lipNwjAil7GZW6oxv9xkx1iOfVPJYOgbXzbF9GKdvpxNf87h+LkyYRRSzNmknNUFjzfs6Ou1V7Mpk+VKi+2j2WShlqWTz1gsV5K2bl/WRlUV7jgwzEDe4dDuPiqNNjnX5pa9g5yaKdNoBUyNZF7Qi5a3oht39pNPW1QbHpNDGVx7cwdEN/u+Nlhwed1LJtk9nicIY6Io5HMPnuXMbBnXNqk1Q+rNFoqi0Gh4F0zgcLk0IO2AZVvUmj5pR2PbUI5i1qHW9BjIp7h13xBjgylikup0hqH2xixSjkHbCzmwI0lS4Fg6uqqwUm2TcnSWyy1OTJdxLJ3dkwUmBzPMrzSBmOH+NJqqULpI37Evo7N/7ziVZsxQ0XnOrO+aqvCqW8Y5NV0hjmOmRrPPOtk1WHCxTZ1WOyC3Z4BGy8f3IwpZG+0aVZCYGMqQdgz8MKKQWf++k8NZMp0g7WLW5oYdPucXauRSJmOD6xcZj/SncCwdzw/JZ6xeZrE9kwVsPeIhrcLtNw4z3llA8W3fsJfj50oMFl0mhjJUasmzPXMFkwrdfsNgMVmskU1ZvfvmC9VwX3K+2976830lfu4HXsGv/snXePCpBW7dM8Bb7t7B//P/fQlNUfifP/ZSvuuX/hWAlAXveMUuPvLPxwD41R85yP/9B4epNkJu3FHg5TeP8KFPPoGl6/zJL34j3/IfP0HTg1fcOEiz4fPg8RUg6ae89xf/gWrD41vu2cF9j8zy1PkaGvDx//l2vuvn/p62H/L97zjAmZk6n/v6OaZGsrz77kF+4refAOAH3nKAf/zqaU7N1RnImrzv+27nF/7XlwH4v3/4pfzVPxzl8ZMr3LSrj2+9Zz///SNfRlcV/usP3cGvfvQRnjy1zN23T7B7Wx8f/IuHMDWNP/2lt/DXnz/O6dkyr755nGq9xYf+9gmyKYtf+fd384u/fz8zS3W++e5dBGHEX372GMPFFD//g6/gl/7gS5QqLd7zpgMcObnMP3zlFJNDWf7L97+cn/yVf6Hh+fzYt9zEwnKLzz10jn2TRd76ym385l8+ih9EvPdtN/GFh8/ylSfmuHXfAK+6eZwP/MkDAPzEt9/GufkaR8+UuHFXH30Zl1/9869hGxrv/45b+IvPnuDo2RKvuXWcG3cP8Pf3nSRtW/yb1+3h3FyVSsNjfChDHIU8dnyZTMrk0K4BHju2SLne5uDOImEIDz81Q2kx5A2vnKIdqL3rPugkaXBsnZStc2K6jB9Ez+g77xrPs1xpEUVJn7zlBVQbPhnXwDZ1ljrPrZdkh9i3rci5+Rq7xnO9YG+AvpyDaWg0WwHZtMmNu/vWjTOenav2nrdXMgFpWzoHd6z2Ja7kfnOlNE3lwPa+ZFxTV9ctaHFtnTfdOcWZuSoZ12RiaHOCOFRV5U0v28aOsSyzi3XKtTbNVsDDx5Y4emaFtcsHbDMZ8+omcesmJwBIWyq6llSriuLktfmUzlI1yWfvWhq6pqCrCksVHz9KXpO2LeIoIlZjMrZOuRliqWDZJrWGh2Po9BdsFsvNJLg/islmLAZyFnUvqZrqtSNsS2e4P0Wt4TO/XO1U6EsCtneM50g7FkdOLRNEEfu3FRkfyuL5AdOLDYhjbt8/TDZjcn6+Tq3e5tj5ZWYWm9iGRsv3AYWMbZBNW2RcIwmEMHRK1SaZlImmwvmFGgNZm9mFJbLZNJlUioVS0gaZGs2SdiyOni2xsFwn7eg4jslQ3qWYt+nLOuwYz/M3XzzOqXNlND0Z79s1lqfWDFCJcNxkEU7LSxaepm0LXU/GZxVNYdd4ngNTfXhByNRolpPny9SbHroOCyttFJJFrmEEg0WHXeN5zsxUWam36M/ayViMppJJmZKNUTwv7BovkLJNVqotRvvTveCjteNDGddM5q/8kFv2DlBtJAseb903wIlzZeqtgIxrMNSXSrKRegGVRpu2FzKYd3EsnVrT69xTFGxTw7F0Ts9UafsB20fzpF2Dlu9z6nyVtKszkHc5v1DHMTXCOMYxdYYHUjx5apnPPXiGlZUVXnbzFLZlcfRMiSiOGSo4LFXaTC/WWVisY5gauYyZLHiKY87O1/G8AE2NMQyTlKWBqrBUbiVVsC+QMDrnqGRSFtOLTSIg5+joBixXkvuyBoSA0QmS0DQFlBhN1YGIVivCi5LX5bImfhDgeREHdvYxVEzxqfvPJO/jahCFtCOVYsZkz2SaB54sEUUBeyaK9BccfC8knbYZLrjc98g0YZwsunJtg8Mnlki5Gm9/1Q5qrQjTNKg32zx2fImZxRpj/SlednCE0zNlvnx4nm1DGb7/m27i4aPznJ+vsVxts1SuUWuGDOdd7n7ZJEE74vx8iaeOncZ0i5iOyVAxxb6JPLES89efP0E2bfGeNx7g5HSZc/M1to9m12Uj7s85fMc37ufJU8v0ZW32bV9d6KYoCvu2FViqtDqLdNf3v6dGsmRT5rpxm4vZP9VHxjF7bTNDU6nUPVK23mvXHNjex0q1haGtthX+7Tfs5dRMlamRzLog3ecL09C4YWcy/rV7PE+16ffG5gAO7uon5RpML9QYLDrkUjbVRpLtf/wCbb67bhnjxPkyt+wbRImTrM8np5eZn5vltXfuQzNtzi9U8byARiskCEOa7aRCimPpmEYS5Dg6kGb7aI5Pf+UUj59YppA2sCyDE9Mlag2fG7b3s20ky+npEu0w4vRMmVbL71S4b9PwVTzPJ4zANFRyNtjpFLqq0mj5tLwQr+0RRCqGoTBUTOH7IX6nKoiCQhCG+EFMFEaEcVL5Ogayrko+m+LMbBUUiAJ6FcRUoC+bHINpaGiqllQj9UKWKm2IY7Jpi3KpTbuzynRyKEUQhESxQrnepO2BbUExk0LTkgWiKUvHMDUmBlIUci73PXyearPN5GAW01A4ca4Ems7r7xgjjjXue2QaTY2ZHM5gGha5lMapc7Ooeoq0Y5BK2dQabcp1D1NXcSyToaLL2GAGzwtoeiFBGND2kmvHsQ3UThXwjGuiqslisSiCbMZEQyUmWYi4YzSZNzBNnTe+bIpTM2VeenAYWLN2VkkqIqz9rk2N5Hr9ktH+FIWsTbnWXtOn3vxKqM8H6/othsoNu/p48Mg8pq5xaPcAhazNlx+f5vR0hSjy+eqRJcqVJgoRYaQSE9Nuh0Qk8+2buWTbMpJkN+1mhGomwUK2oTI2lCObMml7AbOLTVBgbDBDw/NpNwNyaYuhPpcdYwUG8g6Pn1zkseOLxFESnFBqJlnq77p5hGorolJr45g6Wifx1PbRLOW6x46xHC0vwPciijmLbcMZVmoee6cKeF7I7okCp2YrzC7W2DmWJ+0mbe9C1uLcfI1Kw6PQGYe0LR1Hj3jqqTmmthXYOZEsXnYtg1fcOMrJ6Qot3yeftlmutsg4Ru/9Wu0A29TJps1eEqtb9g5SzNqUam3yaZN8xuaWvQN87fAs2bTFbfuGKGYsyvUkgestmUHKnQqR3Tl2RVHYN1VkqZzMI9+8d4BTMxUsQ2dHJ6nU2nEp09DWzXdcj/U53edyGMX0dcZWb9jRR63hdwLZk0SlL7T5wj0Tq2skilmbVqv53L90Ed2xnbXfhYu/tkDKTrKnj/anehXGAFKpFB/89/fwwb94AENXef933MIXH51bN5b29p/8RG+cYe2ahtF+gzcf8Pm9zyc/u20HHDsF5c6Lf/8/v56f+V+fZ2a5ja7Ax/7H2/m2//wJai3ozxl86Gff3NvW9hGL737XTfzS//oKAP/5h+/gwYfm+MS/nkYHPvILr+f/95EHeejoEmMDKX7jP7yOH/8fn2Fmqc5LDwzxvve8lJ/+4Oept32+/6376ctl+ZWPfg1DU/jP34aaQrYAAOlySURBVH0bv/7nj3D/4wvYBvzFf387n/7yKb52ZJ7b9w3yupdO8X/++SlmFmt8w0snmRxM8Zt/+SgtP+QH334zMwsr/O4nD5OyDP77j72a3/mrh/jsA+cY6Xf5wL+/p9dGufPGEe64YYT//dePslhu8q679zBcTPEPXzkFwBvumOLcQpU/+/QR+nMOP/KuW5hZrHHsXJnxwaS9U6kn94ps2sQ29d68YzFrs297P8fPrWBoKjvGcgRhTKnaZs9EHkVRaDabHD3WZN+2Av3FLP259rrx6O5YYDF3eWvYxgczpBzjgnMhuqZyYEeRlUq7tzZwbCDD9GKd/rzDUNFl92SB2cUaN+4a2LRxtOerjZw3EFen2gly2sxg4e62n14daSN1j2OzxtK7261sYjURcWWUeG1drS3kX/7lX7j33nvp7+/n9a9/PQMDAywsLPBP//RPLC4u8pu/+Zu85jWvec7tNBoNgiAgm00GWz70oQ/x6U9/mo985COXvU+PPvooADfeeONl/26j0eDw4cPs37//soJAtjo5ruefF+qxXavjeuCBBzBN84ruAy9kL9Tv1fUk53RjbeT5fLb7wIvxc3sxHjO8OI/7xXjMcPHjljbBpXuxfnc2i5zPjXel5/SBBx7AMAx835fP4yrJ93rjyLncGJd6Hte2B+TcP5OckwuT8/JMz/dzIm2CzfV8/35sZXJuN86Fxgjk/F4bcp6vHTnXz+7FMFYo34HrTz6D6++5PoPreS+Q78elkfP03OQcXRqZP3xu8l26dHKuLs9WP18v9PvAVjv///3DX+WLj0zzg990I2955aUXBrgcf/XZY3zobx7n7tvG+Ylvv23Dt9/2Q971038DwEd/6c249nNX47jcz+GXPvRlvvTYLD/yzYd408u3X/U+i1UX+ywuNd5gy6b+ec1rXsPv/d7v8Su/8iv8yZ/8CVEUoSgKhw4d4r/9t//Gy1/+8kvaztLSEj/2Yz9GGCY5bsfHx/nlX/7lzdx1IYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEJugsskVLACyKWPde220bhUOTVU2rZqvVOLYurZsEAfAnXfeyZ133kmz2aRSqZDNZnEc57K2MTExwcc//vHN2UEhhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQ10y1E5SQTW1mEIcFbGIQR2M1EEVRlE15j24QR63hb8r2xZXb0kEcXY7jXHbwhhBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQogXlkq9DWx2EEenisUmBXH0qol0Kn5shrS7udVExJVTr/cOCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBDPJY7jXlBCt1rGZrhWQRzX4hi6VT/E1iFBHEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCG2vGY7IAhjYHOrWHQDIJrtAD+INnz7ldq1qCZidd5Lgji2GgniEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCLHldStYmIaGbeqb9j6ubaCqCrA5lSzKnePIpTevEkcubXbeq71p7yGujARxCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhNjyukEcm1nBAkBVFbKuue49N1K5U4kjt4nHke8EiHTfS2wdEsQhhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQYsvrVsXY7CAOgEzKAKCyCZUsupU4sunNO45sJ4ij2Q7x/HDT3kdcPgniEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCLHl9SpxuJsfxJFNWevecyNVask2c5332AwpW0fXFADKtY0/BnHlJIhDCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghxJbXC+K4BpU4uu+xGUEc5U51j9wmVuJQFKUXiFKubXw1EXHlJIhDCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghxJb3Qgni6FXiSG9eJY5k+8kxdINGxNYgQRxC/P/Z++84Se76Tvx/VejqnLsnz+7szuakiBIIgTDJWOgw2JwRZ2wLy/hrGweMyBiwsUHmDsM5/sAknw0+4MCAyUmAUc6rzWFy7umcKv7+qO7e6Uk7oWe6Z/b1fDz0WM1Md9Wnu6o++f35EBERERERERERERERERERERERERERUcvLVgIq/Fs4iMM0LWQKmxOMEqztxNH4QBRaOwZxEBEREREREREREREREREREREREREREVHLa8pOHA0OgMgVNZimVTnHxu7EEfBVA1G4E0crYRAHEREREREREREREREREREREREREREREbW8pgRxNDgAIp2zj+d1yXDIGzudP+Szg0RSWQZxtBIGcRARERERERERERERERERERERERERERFRy8sWNjOIww6AyBQauxNHLRDFt7G7cNjnqAaiNPYz0PowiIOIiIiIiIiIiIiIiIiIiIiIiIiIiIiIWl51Vwy/Z+ODOPweR+WcjQ2AqO7EEdyEQJRgJRAlnWMQRythEAcRERERERERERERERERERERERERERERtTTLsmoBFf7N3Imj0UEcleMFN2Enjuo5qoEj1BoYxEFERERERERERERERERERERERERERERELS1f0qEbFgAgtAkBEIFKoEhZNVBS9YYdN1MJqAhsxk4cPvsc6TyDOFoJgziIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqKWlsiUAgMclQ3FIG34+j0uGJAoAgGxea9hxm7MTR2N3E6H1YRAHEREREREREREREREREREREREREREREbW0aiDCZuzCAQCCIFzaySLXuJ0sqseqHnsjVYM4imUdqmZs+PkuZ3gyi58+OYpEutjspDSV3OwEEBEREREREREREREREREREREREREREREtJ5WtBj9sThAHAIR8Lsxmykg1MIgjUwlGCXg3/nN4XTJkSYBuWEjnVMTD7g0/51K+9MOz+Nw3T8CyAMUh4R1veA6uP9jetPQ0E3fiICIiIiIiIiIiIiIiIiIiIiIiIiIiIqKWlsqWAAAh/yYGcVTOVT13IyQ38XMIgoCAt7KbSL5xgSir9dDxcXz2P+0AjkjABVUz8KHPPYKJRL5paWomBnEQERERERERERERERERERERERERERERUUtLVnbDaEYQRzLbuACI6rHCm/Q5qjt+VHcA2WyabuD/99VnAAB3Pr8f//zuF+Pw7ijKqoFP/sfxpqSp2RjEQUREREREREREREREREREREREREREREQtLV0JQgj5Ni+II1zbiaMxQRy6YSKTtz9HJOBqyDEvp/p9NWsnjh89NoKpZBGRgBOvf/kByJKI33vNVRAE4KFnJzA4kWlKupqJQRxERERERERERERERERERERERERERERE1NJS2RKAzd6Jw1U5d2MCIKrHEUUBfo/SkGNeTrASxJHMNCeI49sPDACwd+FwKTIAoLfdj5uOdAIAvvGzi01JVzMxiIOIiIiIiIiIiIiIiIiIiIiIiIiIiIiIWlo1AGIzd+KoBoykco0JgEhWA1F8Toii0JBjXk444Kw792a6MJrG2eEUZEnAi56zo+5vr7hlFwDgZ0+OQtONTU9bMzGIg4iIiIiIiIiIiIiIiIiIiIiIiIiIiIhaWjqnAri0s8RmCPsaGwCRrASiRAKb9xkiAXs3kWbsxPHTJ0cBADce7lxw3Y7siSEScCFX1PDoyalNT1szMYiDiIiIiIiIiIiIiIiIiIiIiIiIiIiIiFpaKmcHUoT9m7gTRyXYoroLyHolM5WdOPyuhhxvJcLVII4m7MTx4PFxAMBzj3Ut+JskCrjt2h4AwH89Nbap6Wo2BnEQERERERERERERERERERERERERERERUcsqqTqKZQMAENrMII7K7hHZggbdMNd9vOpOHJsZiFLd9WM2s7lBHMOTWYxM5SBLAq472Lboa2483AEAePz0JAzT2szkNRWDOIiIiIiIiIiIiIiIiIiIiIiIiIiIiIioZVV3wlBkEW6nvGnn9XsUSKIAAEjn1r8bR3UnjkhgE3fiqOz6kdzkII6Hnp0AABzbE4fH5Vj0NQd2huFzO5AtaDg9OLuZyWsqBnEQERERERERERERERERERERERERERERUcuqBlAE/U4IgrBp5xVFAcHKbhzJTAOCOJqwE0e4EjCSL+koa8amnfepM9MAgOccal/yNZIk4toD9i4dj56c3JR0tQIGcRARERERERERERERERERERERERERERFRy6ruxBHybV7wQ1WoEnCRauBOHKFN3InD65KhyGLd+TeaYZg4PWTvrHF4d3TZ1z7noB3k8dipqQ1PV6tgEAcRERERERERERERERERERERERERERERtaxqAEVoE3ewqKrumpHKrj8AoroTR8S/eUEcgiDUduOY3aQgjovjGRTLBrwuGTs6Asu+9qq9cfs9Y2nkCupmJK/pGMRBRERERERERERERERERERERERERERERC2rFXbiqAZgrJVlWbVjhAOb+zkilSCOZGb9u4msxMmL9i4c+/sikERh2deGAy70tPlgWcCzFxKbkbymYxAHEREREREREREREREREREREREREREREbWsRNreQSIS3LwdLKrClV0zUusM4iiUdKiaAWDzg1GqQSObtRPHiYt2MMahXZEVvf5IfwwA8Mx5BnEQERERERERERERERERERERERERERERETVVNfggGmhGEEdjAiCSWfv9bqcMl1Ned7pWI1IJRKmmYSNZloUTlZ04DvVFV/Seo/32645fmNmwdLUSBnEQERERERERERERERERERERERERERERUctKpIsAgGjQvennrp6zuhvIWlWDQCKBzd2FAwDCleCXzdiJYypZxGymBEkUsHdHaEXvqe7EcWE0jVxR28DUtQYGcRARERERERERERERERERERERERERERFRy6oGUESCm78TRzTkqqShuK7jzKTszxALbX4gSjVwJJkpb/i5Tl5MAAD6e4JwKSvbcSQScKE77oVlAScq79/OGMRBRERERERERERERERERERERERERERERC1JN0ykcnbwQbQJQRyxOTtxmKa15uPMpJq3m8hm7sRx4uIsAODQruiq3newz379qYHZhqep1TCIg4iIiIiIiIiIiIiIiIiIiIiIiIiIiIhaUjJThmUBkigg6HVu+vnDfidEATBMC+nc2neyqAZxxJuyE0d1N5GND+I4WQnCONgXWdX7DlRef2og2fA0tRoGcRARERERERERERERERERERERERERERFRS5rN2MEP4YALoihs+vklSaztZDGTLq75ONX3xpoQxFENHMkWVJRUfcPOkytqGJzIAAAO7lptEEcYAHBmOAnDMBuetlbCIA4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiaknV3SOiQVfT0hAL2kEQM6m172RR3YmjGUEcXrcDbqdUl46NcGpgFpYFdMa8CPtXd7162/zwumSUVQMD45kNSmFruKKCOP72b/8W+/fvx5kzZ5qdFCIiIiIiIiIiIiIiIiIiIiIiIiIiIiK6jFYI4ohUzj27np04mhjEIQhC7bwbGcRx4mICAHCwb3W7cACAKArYt8PejePUYLKh6Wo1crMTsFmeffZZPPnkk+jq6mrocdO5MkamcpAkATs7AnA7F36lY9M5jE2nMZlUsd+0VnTciUQeiXQJqmZAEgU4FQk7OwNwKfbxDdPC0EQG+aKGSMCFrrgPU8kCppNF+z2SAKtyKlU18OzFBFTNQFvUjT3dYZRVA05Fwky6iExORa6oIp1XIYsi9vaGEPS7MD6dg2GacDtldES9mJgtoFjSIIoCuqJezKSLePTkBFKpNG5MD2F/XxwdUQ+iwUsZy3SyiKlkAapuf45S2cDkbB6aYcIyLUiSiKlEARAAC0BXzAtJFNAV88HjdmBnZwBOh1T5HDoeOD6ObEFDb7sfV+2N186TypYxOp2DphsQBQGyLKKnzY+AV1nxtdQNEwPjGZRVA15n5TrMFlCcKKKs6nDIIpyKXJcmwzAxOJFFoaQhGnSjM+Zd8flWm6ZYyI32iGfBa/JFDUMTWViwsKPdD59n6c+czpVxfjiJ4ZkydpV1eBYejppsJlXE5GwBDlnErq4AHLK06mOMTecwmynB43IgFnJjdCoHAOjt8MPndqBQsu+ZRKYIhySiVDYQ8DkRC7nQ0+Zf9JiWZWFkKofxmTwujqUBAGG/Ezs6A+iK+TA0lsHgVBnxziKSo3kMjKWhaib29obQEfNCEATMpIpwKhL6OgOQJRGnB5I4PTSL8Zk8YkEndnQGEQ44cfLiLLIFDS5FQiavwukQsas7hCO7o7X7e2Qyi58/M4bzo2kIsNDd5sfzrurGrq5gXbrnPx9ORcLAeAazmRIMw0LI76x9NkWWcGh3dMFzVs1fplMFFEoaFFnC/r4Ietv8GJvOYTpZwHS6BFXV4fc6cWR3FAGvgnMjKVwYS8PjdOBIfxTFso5Utgyv24Gw34WxmRxEQUBX3IupZBFl1UA06EJHtD4fGZ3O4czwBGRZxLX725DOqShrBuJhN9rCCx/iydlC3XedL2oYmcpBFOwKjqabCPmdS15rWrs/+OsfYHK2CIdk4XcRRCgUxHSqiFxBQ76oYnAiC1EQEPApECCgLeLB3t4wTNPExGwBZdVAyO9E2O+CYZqYmMlD1U0UihrSeRVup4wjuyNwOGR0xryIBJZvkFiWhaGJLLIFFUGfEz1tPgjCwq0E55Y1mXwZiXQJLkXGLcc64HEpC+4pWRLx/YcHcWE0jVjQjduv7ag9R6pRgKoZmEgUIAgCrj3QVvdMGaaFwfEMCiUNkaALXTHfiso6ACiVdQxOZKAbFgQBME0LXrcDOzoCkOZskZgrqBiazEKAgB0dfnjdjkWPN5spYXwmD4cs1pXt81XrZJpuYHwmD9O0EA97IArGsnU707QwWKmr8ZnbukancxhfZT1+KeMzeYzP5HBuJI1CScXkbBGZvAoIFrpjfrz85p04PZTC+EwOsCw8cXYGmVwJ2aIGURDhkIGA14UbD3fg0K4o4mEXTl5MIlvU0NfhR0fMh6BXwXgiD1EUsKPdD4/LUfdMdMe9mE4VMZ7IY2Qyh4BPwTX74uiM+erSqusmHjkxgZl0ER1RL55zqKP2N1WzVzoYnswikSrChIW+jgA6Yj7saPevecvSYuUZNwwLPW0+BH3OZV+/knYYtaZSWcdA5Vp3x30I+Ze/1leKRLqIiUQBxbIOSQQujGUwMpHGxbEMVMPC7s4A+rpDeOzkBIYmswAsdMa86Gnz4eJYFulsCaIkwjRMu/+gI4CuuA+JdBnxsF3HHJ/JI+Bz4rr97WgLu2vlanfcB9OyVlUuzq0XLCZbUDE8add9dnTY+RHRVpXMljA2nYcsCXV9c2thGAa++fMBjM/k7Tq9X8E3HxiEJAp4xfN24WdPjWE6WcSurgCiQTe+9+AgZFnEXS/bh9HpIpKZEvb0hnH1vnjtmW2PevD4ySnkSxp2dwdxaFe0dr7hyTQ+/fWTKKo6bj7SgaDfhTODSfi9Cl58ww7MpIrQDQtdMS8eOzVZq+PffLQTT5+fgWFaONYfQ0/7pbrs4HgaP3h0BABw2zXd6O8J1f6WyasYmbr07C/9PdhtgFKlHeyQRUwk7L6Qvs4AlCXyoFxBxYPHJ1BSdRzoC8PnVirtFwkdUQ9GpnK1fG2l5UuuoGJ4sr7fZCWSmRLGZtZ3X6iagZGhJDTdXFEbj7aemVQRP3tyBM+cT0DXTQR8CrL5MgYnsjAMC7u6A3jjnccQ9jvx/UcGcWYojfaIG73tfpwamEWuqMHndqC7zY+gV0G+qGFsJgfTAnxuB2483IH2iAfDU7m6NrCqGTg1OIuRyRwiASdiITeePDuNoYksFIeI/u4ggj4XQn4nett8mM2Wkc2r8HsV7Gj3QxAETM0WMJksIJUpw+2SUSzrcCoSTMOEYVpwO2UEfU7srNQH5tbP+zoCcM2rn0/NFnD8wgzGZ/KIhtw41BfBjo5AQ7/vdM7uw5tb/yipOgbH7TpPV3z1K74R0cotNm4516VxCxmGaeHcSApOWcLRPTHE5/Rz155l0W7vOx1SXR+bLIkYn8kjkSnB55ahqRoS02X07lQxkdQwNJmBAAG97X7s7LzUb3hhNIXHT01hcDyDkmZAgACPW0Zn1IOgz4XeDj92dwWRK6r4+dPjSKSL6G33Ix7ywCGLCHgdeOzUFKaTBXTGvIgF3Tg3nIYgCIiHXejrCmJHux/jiXwtrclMEd96YAiCYNebypqJocksgl4Fu7v8GE8UUCwb6O8Jwu2U8ez5BDTDRNTvxMhMHoosVcoBH9rCHrRFPCvu+6y7NpWxzGJZRyTgWnQs83LXb761tu1X2qbcTkamskhly/B5lHX1nW0Vc8cod3T4MTqdQzavIuBV0FupZ6xWtZ2RL2qQRAFetwM759Q3FruvLMvC0GR2wblLqo4HnhlHvqhhV1cQe3pDGBzPIJkpYXQmh0JRw2y6BAhAwOOEU5EgiAIMw4RDFqHqBhRZhiQJ2NEeqM2lGJ3KQtVMnByYhW4Y8HudeN6xbqiGAZdDwtBEFpJk5037doTw4PEJZPIqfG4HokE3NMOE1+VYtl/03EgST5+ZxOhYFiVxGpLDAbfTHvf1uOx/vS4HAj7ngnutOg6TzpUxNJEBBAF+twOdMR86Y164FDuNpmWht90P/7z5BtV+q8u12Zaj6QYujmWg6SbaI55NmaymGyYGxjL2uGrIjbYlxp822lJ92Sv5Xp88M4Xzo2lomoGDu6LwexScGZxFIlOCBQtnB5MoagY6Il6IgolyPo0LyQGUNAsiRPg8DqRzKlL5MpLpEiYSOWQLOlxOCSGfgl1dIbidEjI5FbJDQlvYXVst2emQMJUsIBxw4abDnSipel372eOUa2V0wKtAN6xly5rVWkuZ10hLlY2abmJwvPn3FTVXJq/i3FAKw9Nl9O1u7tyr0ekcnjo7jWJZR2fUg2xBQ7GsI+h14vqDbbj/iVGMTefQGfPi9ut78PCJqVo52BXz4uETE4v2AQLAP3z5KZwcmEXQq+APfuUozo3mkKiMHe7bEcTXfzqAYlnHVXvjOLQ7iuGJLACgt92Hh09M4OdPj0It5hDtKEDOGbX5Mjs7AnXlVF3bPebFVKqInz05CkkU8As37IAiS5hOFeF02HMnHfLK65BPn5vGw8cnoCgiXnLjTvz86QmcGZpFOODCr71oLxI5tVZ/9zhlfPPn9me6Zn8cB/rmfKYOPyZmcjg1mIRLkXHTkQ6cGrTnO1XzSXmZdC3WZ1FlWRaGJ3MYmCrDF8lhX597TXWmjTZ3vgb7WKiZEpXAiblzlDdbLQAivbadOEqqjmxBqzvWZouHPBiezGE6uXFBHCcHZgGgbtxqNQ72RfDEmWmcGpjFK567q5FJaylXxEwXVVXxgQ98AB/5yEfwhje8YV3HsiwLhUIBgN3oO34+AdO0/5bLFXBoV33UUCpbxvnRDMpqGem8gYujs+jvXb6gzRZUnB1KQ9Ptzjy/R0Fb2I18oYQDO0MAgJGpHCZn7Qcomc6jWCpibLoAwzQxMJ6D1yVD1Q1YAEan8phJleB0iDgzlEQ+X4aqmfB5HDg7nIbbIeLsaAYOWYTbKePiWBK7OgOYTpXgdcnIF3X0tHkwMlWA12P/PBZy4Znzs1A1Hbqu43sPDyPsc2A2ncPhvjBcThmFko5TA0mYpoWB8SzcLgmjU/aE1JKqI1fU4VIkTCdL8HtkZAs6JuMeyJKIiZks9vaGUCgUsW+H/ZkfenYSA+N25Wh6NgePYncM6rqJZy/Y12FgIgNJENHb7kMqk8ex/uiKO8MGxrO1SL1xtQyzpCGpzUIUHRiazCLgVRAPuZEvFLG/kqbhyRymkpeug2BpqwocWU2aZlM5CGYIPk994/SZcwloun0TpjJ5XLUnuuQk3ePnEyiWyiiUTJy4OI1rt9Fkt2KxWPfvVlQoabgwlrYjmgBcHMvUIgpXKpktYaQStJEvajgzlKxNAjgzlMS1+9twZiiJTF7F0EQWuaIGj0tGwKtA1Qy4nfKilZzpVBHjM3k8cXoKs1k7wMzllCHLIgbGM/AqAkqqiUdPTSOV11Eo6siXNBRVHal8GbAAj8tR62D1exx45OQExhP5SrCXA8mcimJJh8MhYWw6h0JZgyzZ+VKhbEAAcMPhDmiagR8+Noyzw0lMzBRgwkKuqEMQBPg9Sl3l5kxlMgQAnB5Kwud2YDZTwoXRDCzLQsCrYHQmB7/bfm51w8TNRztrwSKabuLcSAqpbAmnh1Ioqzrawh5ougVdNzGdLGIikbcHnBwSgj47KKQr7sOzFxIolHQkUEI6X0bE74LikJAraDg7nEKo0gk7MJ6pXaN8UYPX7ah1jqq6iQeOT0IU7Wf1az+9gKP9sUuvdTnqOqyyBRWDlS3E8kUNsCykcipM00IiXUS2oKGvM4BCSV/yWtPafPBTD2BkKg8LFkoq8KlvnsPLbt6FwfEsogEnfvbMOLxOGUVVR1kzcKgvivOjaRTLOkqqgVSmhLDfhWcvJHBsTwwj0zkUijoEwa7UdkY9KGsmJmfzuPXqHpwfScG7N77kBEsAmEgUMDlr11kKJXuyxWKBP8OTWcymS8gWVDx2ahKxoBuKQ8LPn57AjUc66u4pSRSQyZfx2KkpAEAyW4YoGPBLBoqzRTgcDvzX0+PwuGT4PQruf2IEv/qifbVzjU5la1HchVIObqeMZKZsD4qgel/LiwYknh9NI1/UkC2oGE/ksbsriEJJhyyJ6K10KFmWhTNDKeiG/dyfGUrimv1tC45V1gycH0nVAl5NM40Di0R+2wMadt3j4WfHAUGA0yHhxMAsrt0bQTpvB6zs8S3sjB6budTY4TO3Nc1mShidyqFc1pHOGxhPFLB3kWu9EqlsGcOTWTx7MYGp2QIujKWhagaKJR2SJEJVDfzD/0tjT08I50bSGJ/OoaTpKKmVhgYMlFSgVC7gx48PwwKQeaYMt8uBVLaMRKqEaw8AZwa12qD5OS2FI7tjOD2UhGHYN/vPn7HLnIefnYCmm4gGXcjkVbzmhXvrOhaPX5jB+VE7aDOdUxHwOLG/z66TXBhLY3q2iMdPT6FU1iFJAmZSJdxwSIQii5cd5F/KuZEUiiUdAHB2OIWr98WXHMjXDRNnh1MwK4E150ZStfKRWt+5kRQKlWt9biSFq/bGV9Xhvh2VyjrOj6ahayYujqeRypUxkyri7NAsSqoJSRSRzat48uw0SqoBVTdhWUChlMaFkQwEQYBumrW+CYckIJ1TcWowiY6oDyOTWUCYRkfUi8lEwQ4mDbtrz9iJgQREAKJo/2wYaRzctbBczBbUWrlYrRfMD6IG7EDGM3PynrNDKVy1L77gdURbgaoZODeaqdUbz4+kcXj32jqbAeBnT4/jxEW703o6WcS50VRt8v/H//1JBCqrijx8fByZglZb2OF//9+ncfU+u1774PFxJLNF9LbZk58fOzVZe94ePzWFaPBSYPSnv34C4wm7TfC1n15AW9iDoM+J2UwJ//d7Z3DdwXYAwPceHsT5kTREUUAyW8apoVnsaLeP/9OnRvHqF+yBUknnV+4/j7JqAAC+/pML+IPXXgVJkmBUnv1q+Xx2OIW93YvXnYancrX+rmSmBN0wawOXF6w0DuxcfFWm/3p6rFbHvv/xUezqDMDnsSe2XxzPIFBpR5wdTuLqfW2XLV8Waz9cu0j7YT5VM3BuTnviwmh6TYMQF8ez0Aw7jStp49HWUihpeOj4OB45MYXJZB6aZkI3DZTKJnTDhAC7vf9v3z6Fq/fH8ejJKaiaifHpLB5+dhJul4xsXoUgWMgWVCSzKmIBF0amczAtE91xPwxzHN0xH/yV/uhqG/jCWBonL85C002MJ/LI5MpI5cpIZuwJieMzefR1BrFvZxhj0zn4PQoEQUChpMOlyPC6HbVFUGZSxVoAR1k1IIqAJNr9dbu6ghBFAT1t/gX18yNz6ue5goqnz03j7FAKmYKK2XQJpmnB7XQgHm5MO9lYpI1wbE8c50fsvgQAOFdpZ6xl0Rwiujx7waP6fr9wpd87mbk0bjE2ncfodK5WTmumiedf3QO3U17Y3h9OIRJ01Y5bDUBNZksolnRkiyq8ThGSbuDhk9PwuF0Ym7bPY5gWZEnAjo4AEukiHjs1hWfOzWBy1l6sSRAEuJ0Shiey2NkRgG6YUFUDgxMZnB1KwbQsDIxlsKc3iAM7o/jxY0PIFDQIsOuEbqcMh0NCrqAinHBBlkVMJPK1ul0mp+JrPz0P+6NY+JdvnsTh3RGk8xomJBGnh2bhcdpjAQ88Mw7TNOGQZEwm83ZfjFdBWdXhcsowLcvuX3TJODun7nJ6hXWXkalcrU82XxkTmj9JfHQqu+T1W8xa2vbVcalqOpZqU24niXQRY9N5AHYfsUMW0b3GvrOtYO4YZaGkI5UtQa+0VewxCnnJRZyWYhgmzgwloWoGLo6lIUsidnUFcX7UbpstdV9NzhYwmZg7PmKf++FnJ2qL3z1xegrJTAmKQ8IjJydRKGkYnsxW2lcWBEGAxyUDogAJAuzf2v0uAa8To1M5RAIuqJqB6VTRniCftCfky1IBuYKKvs4gsgUVmbyKsN+FdE7F6aEkNM3ETKoIVTfQFvZAlkXs6gzWJsLOf55S2RIePD6BQqGM0YQK7cQk2iJ+iCJgmoAkCjBMC+GAC3HVgOIQ0TVn4Z6hCXsc6Kmz05jNlCAKAizLwrUHBRRKdl2p2r45M5TENfvaanMsqv1WtfFrK439S7TZlnNxLINUtgzA7mP2uh0bvjDPYKVOC1TyP7djxYH7jbJUX/ZKvtfB8QyOn7fHFDTDhKqbSGbKUGQRqVwJJy4mIYmVYIPxLGJBBZapYTg5jkjQDcBCOqfCIUvIFzVMpwrQK/2KmQKQzJSRzJZhWgJ8LhkWgNODQG+7vZChqhnobvMjnbMXmhMg1LWf4yF3rewYGM/A7bTHBpcqa1Zjfnt9pWVeIy1VtxmaaP59Rc1VLZuKRQ2FsonzoxlEw41dpGClVN3ET58cRbmsYzJZwNnBJARRgOKQEA+5cXY4iWQl701myxidytXG4Z84PYXHTlkQK/PL5vcB/ud/XcBDz04AsOtxf/1/nsBVlf7JdE7Fz58eQ6nSR/jjx4eRyZdrfZs/fWoEP35sBIZhoVjQ8X++fRYvucmefFutE81dAHFu2/3EwCz+66nRWrn0pR+cxS3H7AW780UNEIA9cxaVWU46V8R3HhhAdZ2+T371ODKVSdOzmTI++61TuPFIZy1dT5yeRCqnAgB++MgQkplyLS97/OQkhiYzAAQAZXzlx+dqc/PSORUel2PJfGp+n8XZ4VTdwtWTs4XKwq8mppJFhILFVdeZNkN1vgbAPhZqrkSlHI42cVGkWGUnjpk17sRRHR9xOyV4Xc2Zv1vtl92onTg03cSZyg4a8+fUr9T+yjyuU4OzDUtXK9o+M7iX8bGPfQyvfOUr0dvbu+5jaZqGkydPArArQ4MT5drfRBEQSpN1r0/mdEyltNrPA0MjUHNTy54jXdAxMatB1S1MpzVkHALKOQdkSYBVsDOAsVkV2YJRe8/stIh8yYRuWphOakjLAjTDgmUB0ykNxbKJsgQYBjAwokGRRMwKQCajIy9aKBZ1qBKgayJgAaMooaQBhbwA3bAwpOaQK5soFAFdB8qFFHJ5O0hEFIBSScX5i8PwuGRYhUl4XRJyJQOjMyp0w8JUSoNDFjCd0mBaQFk1oOpAIW+hXLZgmmVoGpCY1eB2SjC1HFzIwiELMPL2Zz53MY9UTq995uMnc8jMOFHWTAxO2tdhIqFCFACodgYglacgSysL4hiaLqNYNms/e10S8ukpqLqJ6bSObFpEKSvDIQswK2kaTajIFS9dBzU3gZC3cY/V8IwdcFGl5ycR8FyqAJmWhQuj9RF9sjpVtyJ5LW3z7teR0XG4rVTD0toqBgYGmp2ENdN0s9ZRA9iTjFdL1S7dL6Zl1SZWAPaq2kalg0evBDZougHLkmuBDnPfP1f1OGXNgGVaMEwLsIBS2UBJ0+FVlNrfDcOCUZlBViobtXPNPVa1IahVzqdX0lRSDYiiANOyoGkGREGEaVrQDftvhmmhpJv2eXQLFiyYpv1fqaxDnfOdmaZV+1wAYBgWSqoB07Q7fgDYk+BUE6iMF+uGfexqt6ZumLXjGJWVBqvfW7ag1l5jVL+TyndYKGnQjEvnLpUN6B4TikOy06rqAOzGXrF8KV+z3z8nT9FNGIaFynw65EvagtfODeJQ590zhZJeawhqhll3LebeG7R+06n6vLikGvb9Ztn3rGla0E0LhgmYhgXTssvoXFGDaZiVv9nXp1jWUVYN6IZZu1d104JpmrXrZll2nrHcBJ/598NS17ya15RUHZYF6IYFxWHfb4sdo9pxUZUt6HB7LCiwBwv0Oc+KWploqlQGHObnMapmLjzHnGdwsXTqlbzSMEzIkliXVxqV/KJKq3z38wM6Nc2odfws993MTW9ZMyFLAgxRgGlatfOq+uL55vzPupY8nZprsXtzvcdSVR2madbKZMuyyyTTAsplvVZuaebi95UFC5pmBxKWNRNOh1VJmw7TrE+jqpkwLas2qROw8xfdMGrnMUz7WLppQsalgcHqIHxVvnyp/FE1A5puwDTtYwuCUFdPWO93BNhluK6bSwdxVJ7txd5Lra+uvlrJt6/0IA61Urbppp0v2M+qCcNELZ/Q5+QZ1TZD9WdBQl07olo3NebUA6vlngWgpGoolOTagIqmGRBFEc7KZVjqmVppvmiYZl3eU9YNO50tuHIU0eXolb61qvWWOdn8pbq0Xm2jVeKX7XanYQdEWPYzXG3tzW3bWqaFbP5S2ZwraHUTX6oDaQCQn1OmG6aJsnapLZotXkpLtqjBtCyIEGo/195n2G0aRbHr93PrzmXdgKoacLslGMbKy2d1Xh1+7udb7n1z2896pX+j9reSVgvisNtLxmXLF3Ne+0Ffov0wn6abK2pPXI6qGRAqDX7LsvNjBnFsH5puolg2oBmG3Ya1LBgGYJomLNhD/qYJpPMlu+yv3M+6Yd+/LsvuQ4KASn+WhYKqwbLsPn4AKJY1lFS9FsRRbQOrmlHrlzIME0VVh2FYqMwjhqrZ7RFdt/sZvG4LUqWcru5IXT0eYPcXKLIEXTchSgIAs/bsqJpR6z+rml9HUHUT2py+gmo7RNUbV4/XK/2DtXNW6pxz01LtS+EEA6KNMf/Zn/vz3P/XdHtMwSFXFlaq9A9Wgzjm5ydz6wa6YUI37DzEtOw6hKWIMC27L0Nx1Jfr1bxA1Uxomp0XmaYJw7IgWtUxBDuv1nXTXnCnbPfpAqhNmDVNE4WSPTZiCfb4RbFsL8xhVPIfVbfPUQ3iKKkaypoBhyzBtOy8UK31x9ivdTrkSlotqLoBySXCsuwJ0wGvYvf/KpfqRyVVX1PdZblrU7Xavsz5bfuV1L3m1/OuhP6c+fXE7f6Z599H9nMpzfn76j9/9RkzTLttVq3j1Prnl7i/l7rf5vd7ZgtlRIMelFWjUic3gcpO4BAA3bJgaYAg28+qLIu1z1mqtE8Klb7Tomr/Wx27qLbNiqpe+Sz2+zK5MtxOB4w5/UB+SYFuGHCY4qJ9ZfmSbtcpK3lkdU5DSTWgyBLKmgFZEmt1yqXuver3o+kmJElAuazDdDtQ1oxa/lUd5xVF+9pV+63mf8erVfc+C7W8fyMtHJMygM0O4pjXl129NvO/18XG6KvjwtXrXtYMlFUdgiDDtOx7ShAEmJUyzbTs6yfAglVp7+q6/RpN02FVTlltF1TPKwoCDAuwTBOWYNeby7pRC8ICgFxRhVu59N3plYVbqzTdhCw1bhx6/njfSsu8Rlqq/GyF+4qay1jQ/mxe+a7rdn9CtZwsqho8LgVG5fmpBs9VpfNq3WKKmXwZIZ89/80wLBRVoxbEMZXM1703U6yfq5LJq7Vy3jTtxUWrYw6pTLmu7yxXnD/PZZHnqKJU0ip5irjEe1f+fWfyGuZcKqTyZYiCOOfv9d9PdVV8ADAt+zNWgzhyRftY1Wwom1cRmBOsVpiXzrkW9lksX0csq/X1lVbBPhZqFYnK/KxosHlBHNUFXBOpte3EMVMJFI2FmrfzTnWR7OkNCuK4MJqCqpvwexT0tK1tMYP9O8IQBHsR41S2vOJdQLeabR/E8cQTT+CZZ57Bn/7pnzbkeA6HA3v27AFgT5bwhDLIVAZgO6IedMfrV5izty5PIVcoYnpqCkcP7EJbdPkIXF03cXIwibJqwDVTQNCn2Nvlxr3oiNqRlt15FedG0rAswCGL2NsbwIWxLEplAy5fHj63A6pmwoKFWFbFmeE03IoE3TRx3aE2JDIq2kJunBhIwumQoCEDAYDikBD0KdjV6cfF8Sz8bgfyJQ0H+8I4OZCC1yUjV9Sws8MPSUliKlmAqpXRFvVh/94+uF0yDuwIQaxsK+odSqFYNuBKFOB1ywgli0jnVBimiXROQ9DnwMXxLCJ+J5LZMvb0BqGqJvp7AogG3ehp89aiS72RLB46PgnTAlxOCbc+p9cOGrEseMJpZPMaXP4iJFFAJOBCyK+gv3vlK7i0d5dwcTxbabnqkLRZhKNtgCDBNZNH0O+Ez+WoS1NXTsX50cp1cIg4uDPc0AlIHdkyLoxlAAtwKhIO7AwtmMzmi2QxUykQIgEndnUtfX95w2lMzWYxNTmFw/t2or937atHtppisYiBgQH09fXB7d64lc6rQVwbwedR4HbJtVWo1xJZHfY7MTYt1ho1u7oCtej3eNgNSRLRHvbANCwolS1RddN+nyyLCAcWL+xiITemkgV0xX04P5JCQJHgckgI+p3o9fiRytoNuN42H8YT9v1Y1gx0xb2IBFywYDf6IABtEQ98Lhl+r4JI0IlMoYxI0IWg34loyI1cQYVLkeFSJGi6BY9TQtjvRFfcC1kSEfAo2NEeQCJdsnf5gAWXU8bOjkBtRwsAEEUB8fClFUAiQRcCXgUDYxl43Q7ouol4yA1BsDuSJFFALOSuWxXEpUgI+OxdSgIeBUXV3vEjGnJjV1cQ54ZTCPqc8HsUyJIAhyyiI+JBd5sPk5VdEKrXQRDsid+KImFnR6DWedXfE7I7uSrPebVhCwAeRUQ87K4FsB3eFbFH+S3A7ZQX7PwT9DlrKyNCAHra/ZhJFZHKlhH0KlAqDShZEhFpYmV2O3rVbf342L8/VZmgCOzfEUJX1ItswZ5IFPa7IACQJQG6Ila2/JaxqzOAYkmHOZ2D4pDg99i7PgH2yrwOh4DJpANuRYIkithZyeN9Hgc8l+ncjoXcmE4VYZoWJElYcgu+trAHmbyKkN+FoE+By2nfJ/t2hBbcU20RD9rCbjx5esoOuhKAI/0RFFNFQBIgyyLaI57aQGdfZ6AWwAHY+VAyW6rVX8J+J2RJQKag1p6BpVbm6Yh4MFJZHaSkGVAcEgQBdbuLyJKIaNBVi1qPh92Lduh6KrvYVAdR2qOL57chvxNOhz0A0t3mQy6vQpZFSJIIr1tGWrgUYT9fPOzGbMZeXVSWxbr8ibaGcMCFsZk8ymVAEIB4aO3XMBxwYmzGXv0snVcRC7qQKaqwTA0OhwhZEnFwbwSyJMKpSGiPuDGeKEIUzLrORVEU0B5xw+91IBJwIVfQkCtq6Iz64FQk7Ojw18qX9oinlt9Xd7vZ3R2Eqhloi3iQSBXhUmR0t/lqA3RV/T0hDE5kYBj2/bt7Tv2yLexBoaQh6FMgVYKaOmIeu9xdx1afbWEPxmfs+kTQp8CpLN3pZ+cVCtKVoLLFdhmi1tUWcddWoQz4FLiWudZXCp/bLpcsy6qsah3AuaEUwn4XkpkSLAF2Xc4hYzZThG5olfa7vQp2UTWgWXbEh2Xav/e4ZAS9TogCEPK74HNJEAQBDllAV8yLnjZ/rR3ZFrbL7nyx0g5ZolwMeOvrBe1LPHsOWUIk4KqtSNce9jCAg7Yst9Ouo1eD+Ne7AtpVe2M4PTgL3bDg9yro6wzUttvu7w4iW9BgmBbcigRFkpCr9A/0dQYgCvbgoc+r4NDuSG3CxbE9MZwdSQGW3U7omtM3ee3+OH78+CgAIBpwo7vNC1Wz2yxzV4Y7siuKbF6tLLoAXL+vDcVKnaIj6q0FRyiKhL09Ift8AHZ1BeCu7GypOCSEA04kM/bgZ9sy31U87EY6Zw/mBrwKRPFSUOhy5Xp/TwhPnZmupSsedleCSu2/5SoDrQGfsqLJQNIK2w/zVXcerN0XS+Sbl9MWdmM6bV9jn8dR242EtgefR0Fflx/nRpK1AC7RKSEv2ZMHLcvOY67Z3469vWGcHphFIlNGwOeAU3GhWLIntYki0BZyI6OoCPudyBd1CILdHt7ZEURvm68WsFW9h9vCHoR8Trs/yOdEyOfE+bE0CqoOEXZe5vcp8LjsFamrQSLVvgPFIcHllBD0KsgUVHTFvSirJmIuN0zLXpjC71HsfoKwp9Z/lsktnldWd7ienC2iUNbhcyuIBF0NXS3P6ZAQ8jtrE1TaKivJVfsSqunY6ImCRFeyeMhtt18q/X5z+8IiARfGZ/LQdBNBnxO9sCeUiYKA9qinNpHMpch1z3J7xIOQ34lEZQefoM8JVILZE5kS2kJuiKIFowj0dweg6gJmMyIAC37vpd1+IkEX4hE3ItMu5ItqZYE6AS6nhGjQg4BXQdDnRE+bD4IATCULKJbtXbnjYQ9EUcSBvjDODCWhGxZCPmet78/vURCo/Nce9SCZKdtp9buwtzeEgfEsREHA7u5A5XsowOOWEWl31QJU4yEXFFnCbLYEp0PCru4ACiUD4YCrMm7jgsspIex3IRNUV113aQt7anUvxWH3yS64fvP6bS/Xl9ke9dR2M1hp3Svou9TXCuHK6M+JBF2YSBSgGyZEcek++u1i7hhltY4+Op2r1TPWMslKqZTxyUwJHpdcmyxarW/Mv6+qfRX2uGZxwbn37Qjbq+VagMftwKHdMUwmCuiIeTA9W0Q87Ea2qEEU7P4Nr8sBUbAn7CqKhGJZh8/tgCTau6pU62TnhlPY0RHAyYuz8LjsCfaHdkftMcLOAC6M2jv4uJ0SDu+O4tkLCXhdDmiGie42H1TNgFORl+wraw/b+aGqqpBEoLfdC4dDRCzkQiqn2v9mVQR9SmV8tP75iofddr0u6sXF8TT8HnuCb9jvgt+roM0pXxpPDbjqJmRW+61q4ymRte1W3R7xYGDM3vndvcSO7I3WFnHbCxhU5pfMH1fdDPP7sqv37vzvdbE29I52v32vuB3IFVV0xbwI+5219ns06LIDOzQTLkWE2+mAJWnw+ZxwOR2wYMKpSLAsQISFkmagVLag6RZESYAsC4gEnLAgQJFFWBDhcTrgdEjwex21RVokScC+3jAKJb2uDIoG3Uhl7fIlFnRDqiyuqjiWnnOwUisd79tIS9VtWuG+ouaqlk2TZbvOup6xsfXyuBR0xb0YncpV5v/Y/YuKLAICcMuxTjx8YrIyf0jATUc6cXE8UysH+7r8GBizd7TqiHrqxulfdP0OPHR8sjYn4JZjXZAkAYZhQZEl3HikA0+ctvvpIgEXjlR2yAKAq/a1YXAiW1vd/dr9MciyHWxYncczV3vUg5FJu27ZFfdjR3seY5UxwyP9MbicEkrlSlm/iv7Zrpg9v29y1t6d67lHO/HUuQQKJd3+TEe77EVmTQuyJOL6g2146NnJ2mc6vCtqz2OAXa+x5zraP193qB2DY1k7GFsS0N+z9PzE+X0W8z9DLOTG8EQKAJad19Fs7GOhVjGZtJ/p5cYgNlr1OV3rLhbVHTyqwSDNEN/gII7qrvQH+yJrHif2uh3obfdjaCKLU4OzuKmye9J2s+1z00ceeQQXLlzAi170IgDAxMQE7r77bvzFX/wFbrvttlUfTxAEeDyXMoBj++yJj5IoLNrQ9AC47pAX07NpDApptEUDde9fynWHPMgVNFx3qDIZWxbrtuDzeDwIBXwoqvagh0MWEQr4kS1ouPagvXtGtRFjmhYy+TLSWRW9bV6YglDrzLjpql7Mpu1Oj0SqCEGyOxyqqwNniyoiARcM08Jzr95hd0i6FciyiJfdIuD42QlcHBzCC286BJfbC79XqdsF4poDngVpyhftqFmXItnbpDkEzKRKiAVdUHUTAY8CURThkMW6FeYP7PKgPRpEOl9GR9RbN9ns2F4PsgX7OliVzxzwKqvKADweDyIhP1TNhAQNZ86kcGRfOwzIuP6QBHWJ6xAO2tfBnsTd2BVkq2kqLXP8g7vte9CyrMtuSXl0rxuTM26cNdPo742u6F7catxu95b9XJIo4FBl4oQ98Wr1g/eKQ8KR/lhlNQwZLqeMdK4MQRBqHQg7OwOIBF3YtyN06RkR7M6ipaKk3U4ZR/tj2N0dxC1HO+0dIDwK3IoEn0dBIqnALEziqj1RXH/YZW8b7pDgcjrg89ifI1fQ4FSkWkX+5TftxHiiAMO0d5poC7shyzLGp3NwyAIEQURZ0wAICHqddVt3v/iGXuzfGUY6W4YgAkGPE11t3gXp39UVRDTorns+fG4H9vaGAACyLEJxSEiki3bni98Fac5zJgh2p1Rn1IvDuyMoV1YEiAbdcMhi7bu+dn8bCmUdToc9YU0UBdx6dTcSmRKcsoRw0AXTNJEr2iukOh0SMnkVoijA71HsFb4Wec5FUcQLrulEMm/ZASJRLwolDapmwu9x1KUVsDu0Du+O1n3XYb+zdi6HLNY6mBkR31i3XbcDIb8T333oImKuMn7xhYfhcrlx09FOzKSL+KXn7sSZkQycDhGdUR8mZvPY0RaAINrPvqabSOfLiIc90DQTikNEoaQhX9Tx6uf3Y3i6gFDAiZDfBV03axOdluN1O3B0TwyFkgavy1G34tVckYDL3rpZ1XHN/jZMz9qBl7GQnZfOv6cA4Dd/6QgGJtJoC7sRcIs4mR9Hf18YlujAVfvimJ4tQBCFBVvDB31OHO2P1dVfokE33E55yfu6qivuQ8DnhGHYK9oVyvbztNjk81ioPt+bTxQFHOyLIJNXF9Q35nLIIg73R5EtqDi6J4Z0rgxNNxELupDM5KDoM7U8bj6/R8GR/iifuS3M6ZBwtD+G6dk0ZM0O2Fsrh2yXzzs7A7j+UDtUzUQ2X0a5pEEzgVjYjT29YYzP5FAoa5BEAWPTeUwnC0imSzBhwudSEI94sKs7hFjQDZciYzyRhyjYHa0elwOKLNaVL4C9pXB6zjNRLOvY0xtCNq9CFAT0tPsXpLc94sErnrcbs+kiYkF3XTunI+qF36NgT08Y+ZIGSYBdJ1jkeVyN3nY/wn4njBXU4wVBwL4d4WXbYdS6etr8CPlWdq2vFKIo4EBfBNm8isO7o9ANC7cc60Y2X8bkTB75kobejgD6OoI4fn4aF8ZTEAR7EkB33I9zoynMpIoIeB3QNROGBRzYGYLPrWBitoB42AOfW8FUsgCfy4F4xA2HLKEtrMIwrVp+kakEK/qWKxd32+WiS5GX7aDv7wkinnfX5UdEW5EgCNi/M2z3OUlLPx8r1dsewG/+0mGMTOfQE/fB75HxwDMTECURz7uqG+dHUrgwmsKR/igifgVf/69B+N0OvPTmXZhI5DCVLGJ3dxAep6OuLrun1w5g6Ix6aqvlAcBrX3wAB/simJ4t4oajXRAECxdG04iH3OiM+ZArarX2xcG+aK2O3xH1YXwmB92wFixY88u378XpoSQsw8SBXfWLg+zpCdXVRQqFwqLfQ9jvwpFKG8TvscuC7GXq5gBwtD+GjogHhZKOzrgPooC6PClXuJSvrbR8WUn7Yb7qfXG5fPNy2iMetEUd0FbYxqOtRRIFXLO/Hd1tfoxP52BZdrCyppk4PTyLfFHD1fvacHh3DIDdLzY4nkEk6EZH1I3BiSw0zUTQpwAQ0B52YTpdhmmYUA17xeXOmA+KQ1rQ99cR9eKF1/UimS3B67L75qZmC0hkynArIkJ+N2RJgCgKCPqcUDUD+Xl9B4d3RZEtaDi2N1a3Ui8AQAAECHX9BPuXqZ/Lkohr9rVhZ2cAhaIGpyIjGnQ1vJ28tze0oD00ty9hNXkDEa3eYv1+VfPHLURRwEy6CFkUEQ2568YVF3uW5/axCYKAXMHeCdshCSgUijh/Po+DfWGIkoI9vSEAAvweB1yVPMrpkPCCa3vs/sBc2V7ZuzLx0lvpk/e4HPB7FPS2+9HX6Uc6p6Ij6rN35jUtXH+wHc85mEciXUR3mx+CYH8GSRDg8ypwKzK8bgdKcb2W1mv2teHxM1OQAFy9vw2zmRLSeRUeRUY46EI2X0a+qKMzageKjCfykEUBHrdd1zMtCwGPA4Ig1vpN11J3CfkvXZulxhqXu36L6Y77EPQqq6p7Vfta5/c1b2cuRcbRPdHa2NB6+s62gsXGKKNB14J6xmpV84UDfREAqKtvzO3Dn9tX4XE5cGxPbMG5d3cHa+Nm7VEPXIqMWNCNfTvCKJY06KaFYkmFbgJepwRREmFXfizAujT3wukQ4XI6IIr27mrPPdaFTKEMw7AwOZtHd5sPAa8TkmjnIc+7qgv5ko62sBcel4zedh/yRb02dikKdnVrqb4yWRbxkpv6cHF4BjuCRRw+1Auv1w3TtL8P3bQn5+qGBY/LsWCHv+o4zL7eMMqqjpJq1M5dbYvEQu7aHIu55vZbXa7Ntpy2sKe2EOn8OSUbZaXjTxtpqb7slXyvPo+CVzx3N6aSeTgkET6PgoBXwUQij0JJR8iv4OxgEpphoKctgEyugNHhQRw7sg+qYS8O53HLyOTVyk58FgYn0yiVdDidMiJ+J6IhDzwuO4jH73HA41ZQLGmIBFxQHCKmkkWE/a7a/TK/DDq6J1Yp95TaLoCNmjezljKvkZYqG1vhvqLm29sbQsAtAKUp9LavbXXxRnnBtT0Ync5DFAGvS4FlmsgUNPg8DkSDbhzaFa31RUaCbhzoiyBX0GrlYH/34n2AOzqCeN89N+GhZ8axuzuEo3viSOfKSGZLaAu74XEpONgXQTqron9HGG5Fqpu7trMziEePj2B2ZhQvfW4fHIpzyTpRV8wuN6v9lPt2BHF6KAVFFrGnN2zPXyxoq55HJUkSXveSAzg3mqosoBXEC59TwokLCXTHfdjZGURJ1evG8/t7Qkt+pl3dQYxP52pzKY72Rxfkk0tZrJ1T5XE5cHhXGHpuAof6wi270EtX3IfAKtsARI1mGCYSlaCD9S66tR7VRQmmU/a8x9XWbacqAdTNDASsBtRVg7kb7eSAHcRxaFdkXcc52BexgzgGGMSxZd1zzz245557aj/ffvvt+Md//Efs27evIccXBOGyBbFDFhHyOTG+ih0aZEm87PYvLqdc64AE7NXjlnpP0OdEb3v976qFfrVyMH9FBgCIzsso5q4QDwDH9sbg0KcR8Lng8Sw892JpWmwCR1ds4eSxxYQDrrqJ3FXVAaf18rgc8LiAQsFe/c9e9d8+31LZ/vzr0Gj2qhzLH381g8wBrwKPkw3JViWJwrq3frJXt7/0nCz2bKxlIpXikOyVNRd5XN1OGT6XBEkS4VJk9HUujDKf/7kURcbOzoU7xyz2u/lEUURfZwBYQdk8//mwn/P6Rk9XbOmG9XL5y9zvOjzvby6nXDeBXRIlhP2XOk3nHnO551wURfS2X8qBqvnUUuaXH/PLqe0+SNBMV+1rx94eP06ePAm/R6mVi9UO2RsOXbqOi0WE18q3yj8elwOxkP3/weDaGh9Oh7Sgs34xc+/B+c/gYnWSgE/BsT1xAKhNzFIcEjyVm3OxSeFVi5Wbl7uvq+ZOjlpulf6V1AnEFea3snTpOZ/7nFrm5et29q5CfOa2srXU45dSu5eWqfZ2zimP+jpDlz1m7yLP2mL3/2Jlzty6wmKqq0guxltZJSyGxnYqrCYYYyXtMGpdDLxZaH47IAQnOqNe7NtR37F149Eu3Hi0q+53y5W7nfFLf5tf7s2/DqstF5fDZ5S2k0b1OVVFgm5E5qyu9Pxre2v/398TQn9PqPbza26/1H/ZEfWhI3qprjD3mY0G3Uuu2HRsb1v9z5V6PFBfv55bxwfq6yXz7d8xvwVsW82zP78dvNK+kPn9l3PzpLWWL2u5vittT1zOWidA0dYgiQI6o150RusnQhzcvXB35Hhltffaa/oWvqbXtfg9vtg9XK2zV3W3+dHdtnidodrnV5f2FYxPzHW551+SRMRDHiC04kOu2lJpWG8AHhGt3HLjZfPHLZbqk1/sWZ7fxzY3f1Ikszbmtfz5JfS0+YEl8sK55++M+dEZW/i3jpgPHXPSvVieMz+t1x+4NDg7v87mDHlq/b9AfT/PcnnqWuouKxnLXO1451rqXisZ/95uHHL92NB2N/9ZX6yesVqXq2cs1Vex1Lnnzzeo1pnWe29GKrt9zG3TzRWf8/+xec//SiiyiN52H3KzDgR9yqJzM5ZzaRxm8fctN3bciPHr+jRsnmacc76l7uGVfK8e18Jx97nt9eixS22IQkGBnhtHJFC/6GU8dOn/Dy3SFgGA7vji5WNfZ/19sVwZ7ZDFhs+baXb/4lJlYyvcV9RcrTT3yp5PUv8Mh+fUOef3Rc6vky7XB9gR8eHO2/bWfg76nHXPZW97oG4u4ty5OV6XjOccasPJkwkAl68T1bfdJRyas3jMavso5lKU+mOFfC7ccqy79vP8+vtyn0mRxbq5FB6XsiCfXMrl6jOKQ4LPvf5600bj+B41WyJTgmFakCVhReOVGyUSdNWCqBPp4qp3mpxI2LsNdUTXtstdI8Tm7MRhWVZDA7Msy8KJi3b+f3CdQRwHdobxnQcHa0Eh21HzaxNERERERERERERERERERERERERERERERPNMzdqLzMbDnqbubC2JQi1wYzKx+I7ky6kGccxf/GczxSoBfapmIJNXG3rs8Zk80jl7x7m9vaF1Hau6I+O54RQ03WxA6lrPFRfE8cMf/rBhu3AQERERERERERERERERERERERERERER0caYStoBE23hxXcm30ztkUoQx2x+1e+tBnG0R1e3g0cjKQ4JkYC9Q9Dk7OoDUZZT3YVjT08IDnl9Owx1x33wexSouokLo6kGpK71XHFBHERERERERERERERERERERERERERERETU+iZniwBQ2wWjmToqu2hMrHInjpKqYzZTBgB0xpq3E4d9fh+AS0EljXLi4iwA4NCuyLqPJQgCDlZ24zg5kFz38VoRgziIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqOVMVXaMqO6C0Uwd0epOHKsL4qi+3uuS4XM7Gp6u1ah+hvGZjQriiDbkeAf6wgCAkwOJhhyv1TCIg4iIiIiIiIiIiIiIiIiIiIiIiIiIiIhazlTSDoBoa4EgjvZIdSeO1QVATFQCJjpiXgiC0PB0rUZ1J5CxBgZxpHNljE7nAAAH+ta/EwdwKRjk5MVZWJbVkGO2EgZxEBEREREREREREREREREREREREREREVHLqQVxhFsgiGONO3GMJ+zXd0S9DU/TanVG1xaIspxTA/YuHL3tPgS8SkOOuac3BFkSkMyWV/19bwUM4iAiIiIiIiIiIiIiIiIiIiIiIiIiIiKilqLpJqaSRQBAR7T5QRwdld1AktkySmV9xe+brARMdLTAbiLVnTjGG7gTx4mLdhBHdfeMRnA6JPR3hwBcChLZThjEQUREREREREREREREREREREREREREREQtZSKRh2lacDslRAKuZicHPo8Cv8feaWJsFUEQ1ddWAyiaqboTRzJbRnEVgSjLOXExAQA42BdpyPGqDlSOd5JBHEREREREREREREREREREREREREREREREG2t0OgcA6Ir7IAhCk1Nj29HhBwAMTWZX/J7hKfu1PW3+DUnTatiBKA4AdpDMepVUHedGUgCAw7sbtxMHABzcxSAOIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqJNMTplB3F0x31NTsklve12IMbwCoM4CiUN08kigEsBIM3WUdmNYzW7iSzl9GASumEhGnShPeJZ9/HmOrAzDAAYHM+gUNIaeuxmYxAHEREREREREREREREREREREREREREREbWU6k4cPS0VxGGnZaVBHCOVQJSw3wm/R9mwdK1GT5v9GUZWsZvIUp69kABg78LR6N1SokE32iIemJYdLLKdMIiDiIiIiIiIiIiIiIiIiIiIiIiIiIiIiFpKNQCiu611gjh2VHbiGJpYWQBENdijuoNHK9jZEQAADK7wMyynGsRxZHd03cdazKG+CADg1MDshhy/WRjEQUREREREREREREREREREREREREREREQtpboTR3dL7cRhB2OMJ/LQdOOyr68GcexopSCOzmoQR2Zdx9F0sxZccXiDgjgOVII4jleCRbYLBnEQERERERERERERERERERERERERERERUcvIFlRk8iqA1griiARc8LpkmKaFsen8ZV8/MG4HSvR2tE4Qx45KWkanctB0c83HOTecgqqbCHiVDdtp5NieGAB7Jw5Vu3zQzFbBIA4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiahlDE/YOFrGQGy6n3OTUXCIIQi1goRqgsRTLsnB+JA0A6O8ObnjaVioecsPtlGGYFsZmcms+zvELMwDsXTgEQWhU8ur0tPkQCTih6iZOVnb92A4YxEFERERERERERERERERERERERERERERELePimB380NcZaHJKFurvCQEAzg6nln1dIl1CKleGKAro62qdIA5BELCzshvH0Hh2zcd54vQ0gEu7ZWwEQRBwbG8cAPDU2ekNO89mYxAHEREREREREREREREREREREREREREREbWMi2P2Lhe7W2gHi6q9vSEAwNnh5LKvOzeSAgDsaPfD6ZA2OFWrs7MSHDMwsfxuIksplnWcHEgAAK7d39awdC3mqj12EMfTZ2c29DybiUEcRERERERERERERERERERERERERERERNQyqjtx7OpqvZ04qkEc50fTMAxzydedq+zUUX19K9lVCeI4Xwk0Wa1nzs9ANyy0RzzojHkbmLKFrqrsxHF2OIl8UdvQc20WBnEQERERERERERERERERERERERERERERUUswDBOD4/YOEbu6Wm8nju42P9xOGWXVwNBkdsnXnRqcBQDsacEgjr07wgCAM0MpWJa16vc/cXoKAHDN/jYIgtDQtM0XD7vRFfPCtOzgke2AQRxERERERERERERERERERERERERERERE1BJGpnNQdRMuRUJHdGN3eVgLSRRqu2ucuJBY9DWabuDkRTuI48ju6GYlbcV2dQUgSyKyBRUTicKq318N4rh2f7zRSVvUNfvbAACPnpzclPNtNAZxEBEREREREREREREREREREREREREREdECs5kSTg4kMTarQtPNTTnnqYEkAGBvbxiSuLG7PKzVsb0xAMBT5xbfGeL0YBKqbiLkd6K33b+ZSVsRhyyhv9ve5eTMUHJV7x2ZymJ0Og9ZEnBsz+YEcdxwuAMA8MiJCZjm6ncOaTVysxNARERERERERERERERERERERERERERERK3j0ZOT+MJ3T+P0nAn+n/3hj/Gi63vxupceQNDn3LBznxqwd7A40BfesHOs1zX72vB/vnUKT5+dhmGYkKT6vRWergR3HO2PQRBaMxBl744QTg8lcWpwFrdd27Pi9z3wzDgA4NjeOLxux0Ylr87R/ijcThmzmTLOjaSwb0fr3hsrwZ04iIiIiIiIiIiIiIiIiIiIiIiIiIiIiAiqZuCjn38c7//kgzg9lIQoAO1hN9xOEWXVwDd/PoDf/fAP8ejJyQ1Lw8laEEdkw86xXv09IXjdDuRLOs4MpRb8/ZETEwCAqyo7drSiI7vttD29xG4iS/l5JYjjlqOdDU/TUhyyhGsPtAEAHnp2YtPOu1EYxEFERERERERERERERERERERERERERER0hcsVVLz7H3+OHz46DFEA7nx+Pz7zZy/Fx//kebj3lzvxnt+8Dn2dAWQLKv78Uw/h2w8MNDwNmbyK0ekcAGB/C++2IIkCrqsEFfzkyZG6v03OFnBuJA1RAG48vHmBDqt1dE8MggAMTWSRzJRW9J6p2QLODacgNOGz3Xi4AwDw4PHxTT3vRmAQBxEREREREREREREREREREREREREREdEVTNMN/MWnH8bJgVl43Q584HduwRvvPIKw3wUAEAQBR3ZH8L/+6Da86Dm9ME0Lf/elp/CdBwcbmo6nzk4DAHrb/Qj6nA09dqO98LpeAMBPnhiFbpi13//osWEAwOHdMYT8rfsZAl4Fu7qCAICnVrgbxw8rn+1IEz7bcw62Q5ZEDE1kcXEsvannbjQGcRARERERERERERERERERERERERERERFdoSzLwse+8CSevZCAxyXjr/6/5+KqvfFFX+uQRfzha6/Bf7utHwDwd196Ej97arRhaXni9BQA1Ha5aGXX7Isj5Hcik1fxs6fGANjBMN/6+UUAwEtu2tnM5K3I1ZXr/NjJycu+1jQt/OCRIQDAL9ywY0PTtRifR8ENh9sBAD98dHjTz99IDOIgIiIiIiIiIiIiIiIiIiIiIiIiIiIiukL967dP4f4nRiCJAt7xhufUdmdYiiAI+K07DuOlN+2EZQH/818fxzMr3MlhOZZl4bFTdhDHNftbP4hDkkT80nN3AQD+9dsnUShp+PKPzmE2U0Yk4MJzj3U1OYWXd/PRTgDAQ89OQNWMZV/77IUEJhIFuJ0ybjnWuRnJW+D2yu4n9z8+AmPO7idbDYM4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiK5A33toEP/+/TMAgN97zVW4et/KgicEQcDvvvoq3HKsE7ph4oOffggD45l1peX8aBqzmRIUh4TDu6PrOtZmeeXz+xENujCRKOAPPvIjfP47pwAAv3nHYTjk1p+qv29HGLGgC8Wyjscru6As5T9+ch4A8PxruuFS5M1I3gLXHmhHwKsgmS3jiTPTTUlDI7T+nUFEREREREREREREREREREREREREREREDfXE6Sn83ZeeAgC89hf24cU37lzV+yVRwJ+87joc2hVBvqTjfZ94ADOp4prT85MnRgEAzznYDqdDWvNxNpPbKeOdv3EDvC4ZU8kiTAt4+S19uO2a7mYnbUVEUcDzrrbT+r2HhpZ83fBkFg89OwEAuPP5/ZuStsU4ZBEvrOzG8bVKUMlWxCAOIiIiIiIiIiIiIiIiIiIiIiIiIiIioivIwHgGH/rcIzBMCy+4rgd3vezAmo7jdEh492/diN52HxLpEt73iQeQK2qrPo5pWvjpEyMAgNuu3RoBEFX7doTx9297Ef7wtVfjQ7/3PPx/r74KgiA0O1kr9rKb+wAAj5ycwNh0btHX/Mu3TgIAbjzcgd52/2YlbVG/9LxdEAXgiTPT6979pVkYxEFERERERERERERERERERERERERERER0hZhJFfH+Tz6IQknHkf4o3vyrV68r6MDvUfC+N96MSMCJwYksPvjph6DpxqqO8ejJScykS/C6ZFx3oH3NaWmWSMCFX7hhJw7vjjY7KavWHffh+oPtsCzg8989veDvj5+ewgPPjEMUBfyPXzzYhBTW64h6cfPRLgDAF39wpsmpWRsGcRARERERERERERERERERERERERERERFdAXIFFX/2iQcwkyqip82Hd/3GDXDI0rqP2xbx4M/eeDPcThnHzyfw0c8/AdO0Vvz+r9x/DgDw0pv6oDjWnx5ande9dD8EAfjx4yN47NRk7fczqSI++vnHAQC/eEsfdnYEmpXEOq950V4AwE+eGMW54VRzE7MGDOIgIiIiIiIiIiIiIiIiIiIiIiIiIiIi2uZKZR1//qmHMDSRRSTgwvvvuRk+j9Kw4+/uDuKdv/EcSKKAnz45ik9/49kVve+J01M4fj4BSRRwx627G5YeWrm9vWG84pZdAIAPf+5RfP/hQTzwzBje/nc/QypbRl9nAL/xS4ebnMpL9vSE8IJrewAAn/za8VUFDK1HOlfG2eEkzg6n13VOuYFpIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqIWky9q+MA/P4gTF2fhdcl4/z03oy3safh5rt7Xhj/879fgf/3b4/jq/efhdsr4tZfshyAIi76+VNbxT195BgDwi8/dhVjI3fA00cr85h2HMTiRxTPnZ/Cxf3+y9vv2iAfv/q0b4WyxHVL+x8sP4oHj43j2QgJf/9kF3Pn8/oafI5NX8cAzY3ji9DSOX5hBOqfW/nbbET8OrzGuhUEcRERERERERERERERERERERERERERERNvU1GwBH/zMw7gwmobXJeN999yMvs7Ahp3vhdf1IpEu4bP/eQKf/+5pDE5k8P+9+ioEfc661+mGib/5whMYnc4h5HfidS89sGFpostTHBLef8/N+H8/Oov7nxiFaZp4zqEOvPbF++FzO5qdvAXaIh7cfcdh/P2Xn8ZnvnEC/d1BHOmPrfu4umHi8VNT+MGjQ3j42QnoRv2OG5GACwGPAzvbnEsc4fIYxEFERERERERERERERERERERERERERETUYIWShu89PARVM+B2yogEXGiPeNAZ88Lj2pxJ8Q+fmMDffP4JZAsqAl4FH7jnZvT3hDb8vK+5fS/8Hgf+8f89jZ8/PY5nzs3gztv68dxjXYgF3bgwlsbnvnkSz15IQJYEvP3Xn9OSgQJXGocs4rUv3o/Xvnh/s5OyIi+7uQ9Pnp3Gz58ex198+mH82d034eCuyJqONTlbwHcfGsT3Hx7EbKZc+/3u7iBuPtqJq/bEsas7AJcio1Ao4OTJk2tON4M4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiBrsgWfG8cn/OL7o37rjXuzpCWNPbwh7e0Po7wnCpTRuavfwZBb/8q2TeOCZcQDAnp4g3vGGG9AW8TTsHJfz0pv6sKsriP/9f5/EwHgG/+dbp/B/vnWq7jVORcJb77oOh3dHNy1dtH0IgoA/ed11SGV/jhMXZ/Guf/wv/PovHsIdz9sFSRIv+/5cQcXDJyZw/+OjeOLMFKzKphshnxMvuK4Ht1/fi11dwYanm0EcRERERERERERERERERERERERERERERA12w+EO/MqL9iKZKaNY1jGTLmIyUUAqV8bodB6j03nc/8QIAEAUBezs8GPfjjD29oawb0cYPW1+OOTLT0SvyuRVPH5qEj95chSPnpyEZdnHvfP5/Xj9yw5AcUgb9VGXtG9HGH/zx7fh/idG8L2Hh3BmKAVVM+B1O3Dj4Q789xfvR2fMu+npou3D6ZDwvt++Gf/zXx/DQ89O4J+/dhxf/9kF/ML1vTi2N46OqAc+jwJdN5HMljA+k8eZoRROXEzgxMUEdMOqHevqfXG87KY+3HC4Y1XP3moxiIOIiIiIiIiIiIiIiIiIiIiIiIiIiIiowfweBb/+i4cW/D6dK+P8SBpnR5I4O5TC2eEkZjNlXBzL4OJYBt95cBAAIApALORGR9SLaNAFr9sBn1uBQxZhmBZ0w0Q6V0YiXcLoVA7jiXzdeW483IG7XnZgQ3YSWA1JEnH79Ttw+/U7YJgWVM2A0yFBFIWmpou2D7dTxjt/4wZ87+FBfPY/T2JqtoB/++5p/Nt3T1/2vTs7/LjlWBduv74XHdHNCShiEAcRERERERERERERERERERERERERERHRJgn6nLj2QBuuPdBW+10iXcSZoSTOVII6zg6nUCjpmEoWMZUsrvjYve1+3HKsE7dd04Pedv9GJH9dJFGA28kp7NR4oijgpTf14bZre/CzJ0fx6MkpnB6cxWymBLOy2YbbKaE94kVfZwCHdkdxtD+KnrbNf074BBARERERERERERERERERERERERERERE1UTToxs1H3bj5aBcAwLIspLJlTCQKGE/kkcqWkSuqyBU1GIYFSRQgigICXgXRoAttYQ/29Ibg9yhN/iREzeVSZPzCDTvxCzfsBAAYpoWyqkOWRDhkEYLQ/B1gGMRBRERERERERERERERERERERERERERE1EIEQUA44EI44MLBXZFmJ4doy5JEAR6Xo9nJqHNFBHH81m/9FqanpyGKIrxeL97znvfg4MGDzU4WERERERERERERERERERERERERERERERFdQa6III6/+Zu/QSAQAAB8//vfxzvf+U585StfaXKqmseyLAxOZDGbKaFY1qHIItxOGf09Ibid9i2hagbOj6RRVHVEgy7s7AhgeDKL6VQRxbIOh2S/pzPiQFkzcWIgCVHKoTPqRWfMu+K0GIaJ86Np5IoaAl4Fu7uCEMXmb1FzOYl0ET97agyqZuBAXwRH+2Mbch5VM3BuJIWSaiAecqO33b8h5yFaTKGk4fxoGrpuojvuQ1vE09Djj03nMDFbgNMhob8nCJciYyKRx/hMHrIsor87uCGRj9mCiotjaZimhd52P6JB94LXaLqdBxbKl/LAxTQqD1vuu06kSzg9nIMkCdjdFYRvg7e6q+b1LkVCf08IToe0oedrVSVVx/mRNMqagfaIB91x37KvNwwD/+/H5zE4noapZtG3S4WsuPCzJ0cwky4hHnTj1qu7Icti7T0nBxI4fj4BRZZw09FOtDf4GaNLZlJFDE9m1/Uc5YoaLo6moRsmetr88Do3IKENMJspYWgiA0EQsKsriICX22M2WzJTwmDlmvR1BhD0OZHOlTEwlgEA7Oj0I+x3IZO3yyfLulQ+XRxL49sPDCCdK2NHhx9H98QbUj6mc2UMjGdgWRZ2dgQQDrhW9L668jHgws7OxcvH9RifyWM8kYcii3XtE6Ir1VLP3fBkFuOJPGZSRbgUGYl0EYIgoLvNh6v2xOBxOZAvarhQKbvWUp+3LAsXxzJI5crwumT4vQomEwXIkojd3UF43Y2pqxuGiXMjaZwbL8EVzODgbveG9gskMyUMTWQBAbV8mWizGKaFi6NpZAoqAh4Fu7svtSFzRRVf/fE5zKRL6I77cGR3BMcvzMIhi7jpSCc6oivrb6tra3cH4VpnWWqaFi6OpZHOq/C5HejvDkKSxMu+TzdMnB22n213KIuDu90tsS31aiTSdjtCFO26Nbeep7UwTQsXRtNIpIuYnC1A1QwUyzoM04RpAX1dAXTHfOjvCUFe5tlaT7vWNC2cG07i+MUEEqkiOmNeXLU3jt72xtfniYg2Siav4ulz05hM5NEe8eLonljD6vKr6e+Y25ffGfMuqKPNHV+NBV3YscTYwkpU6yKCIGB3dxAOWVxxn3WuoOLCWBqGYfczxUILx0HGZnKYSDSu3riYxfq7iFZr7rOw1j5vTTdxfiS14n7NZLaEofEsMvkyBFGAv9J+W65NML/ttLPDj8GJLHJFDSGfE7u6AqtqE83PA/JFDQOjsxidKmPXbh2eRbp5DNPChdEUsgVtQZtzJaqfG7Drqewz2VzFso7zIymournieTeGaeH8SAq5ogYJOoamy5hRx2FaIrriPvg9CmZSRUwlC4gGXYiH3Sir5rJlyUQijwePj0PTTVyzL449veGN+LiXxfuRtpNSWcf5Ubse1xH1oCu2/NyD1disseG5c2NCPic6ox6cH01D1U10RD3wuhwYGMsgnStDEIGgz4mO8OJpWW25vJyyZuD8MvPqppIFjE7lauMaM6kiEpkSPE4Z/T1BOOQrcz4MERG1jitiRkw1gAMAstnsugYMLctCoVBY9fuKxWLdv800mylheDyLsmZgeDKHoFdBPOzGSVXFgZ0hAMDFsQxmM2UAQD5fRLlUwuRsEZpuYnAyC5/bgY6IB+mMjumUBj/ycCpOnMsX4RANeFwru7XGpvOYTBRq55EFA23h5nfgXe56/eTxIaSyKgDg0WfHEPWJCPlXNvltNS6MZpDMXroODtFYd4W7le7FRtqun6uZzo+mUSzpAICBiQwCPgUupTHFRq6gYmQqBwDQdROD4xn0tvvtyVSwG20D4xkc2hVtyPnmOj+SgqqZAIALo2kEfc4Fg+QjUzlk8vYzPpkoIOBRFp3gOp7II1V5RmfTJTtvXOHEmro0LfJdA4BuWBiYyMKpOKHp9uuu2htf9fFXKp0rY3wmDwDI6SaGJ7LY0xvasPO1sqGJLPJFDQAwOpVDwKss2zn/4PEJXBhNw9ANZLI6fvrUBHZ2qRibtr/P0ekcnr2YqF2/XEHFY6emAAsoqwYefGYcd97Wv/Ef7Aqk6QYujKUBC/ZzNJLGVftW/xxdGE2hVDYAABfH09jXvfpnfaMZht3hZVn2z+dGUrh2f1tzE3WFM0wL5+Zck/MjaVyzP46zwymYplX73bX7nTg/koKm15dP33pgAKlMGalcGclsGR0RLyRRWHf5eG4kBcOonH80jWt9zhUN5tWVj7MFBLyLl49rVShpGJ606wK6bmJgLMPtYOmKN/+583sVSKKA8Zk8JhJ5pHNlzKSLUDUTkYALqmog4HHg8O4YLoylUSxfqmMG/c5VBehOp4qYSdntq5lUCedGUoiHPNB0ExdG0zi6pzGLGYzN5JHOqTAMC7OZMqZTxQ0LbjVNC+dH07U8+NxICtcdaN+QcxEtZnI2j9lMCYDdP+dxy7VB2x8/NoLRSvvhzFAS50ZT6I37UVYN/PyZcfzyC/Zc9vi5olbX1h6YyODAzvWVpdOpIhJpO82pbBnjiTx62i6/yMjotJ1/GYaFRLqEmVQJ8Rbo81sp3bDzukv1uBSu3se6Na3e5GwBs5kSRqdzuDiWgSyJGJvJwemQ4HbKyBc0+FwKRqdzSy4isqBdu8r+oalkAWeGUxieyKGk6tB0C06HjKDPxcB/ItoyzgwlMTCeASxgcCIDlyLj+kONqcuvpr/j4lim1pc/NJFF0OesW4BiaDKLbME+1kSigIDXiZB/9ZNO59dFzg2n4HU76vqsg15lyaC+arAHAFwYs/uZHHMWGMoXNYxMzqk3jmdwoK/xfTDnRlLQ5/R3hXzOFQUEE1UtVi+/Zg193iNT2QX9K5ElnnPTtHB+JA1NNzA4mYUIAf09QZwbXv7c89tO1fFDwA7I9XkcaAuvrL9j/ud+9nwCoihA002UVRMDEzlEwgvrjpOJPJKVOR6zmRK8bseKF+Csfu65fSbX7m/bcsH4W9nAWAaFShkzPJlF0KdcdkGniTlj1YNTWYwnVbjVPBwOB0zY45Euh4xsQUWxrGN8Jo+w3wWv27FkWfLzp8ZQqPQpPvTsBLri/hXP/2kU3o+03QxMZGr1uJHJHIJeZ0MWSdrMseGxmUv5zUyqiMlEvlavG57IQjNMSIKAoUoAYn+PhItjpUUnpq6mXL6coYkMcgX7ux2fySPgVWpBX2XNqLUhNN3Ek2en4aikOaPbc5Z2dQXXdF4iIqJGuSKCOADg3nvvxUMPPQQA+OQnP7nm42iahpMnT675/QMDA2t+b6Ok8jomkxrKmoWZjIZ8RkQpJ0NxCLAKdqVoZEZFvmTU3pOckZArGtAMCzMpDVmHAC3vgCwJkEQBU5NTl05QmoTHubKJIZMpDamcXvu5kJaRCDR+5f21Wup6DY9kUNas2s8nThUR9jX+cRqeKaNQMms/6/lJBDyNiQJuhXtxI2zXz9UMpnHpHoeFWidJIxjzjqUb1oLj64aJjaDP+VyWZadlfnD9/HPPfc9cxrzfz/9cK7XUd21aFjDnTxv1nVQtuC7mxp6vlS28B5b/LkqqXvdzWTOgakbd7+b+rOlm3bVV9frXUuMY5rznaI33tb6BeWKjmBZqnXSA3XFHzWWaVv01MU2YpmXn73Nfg/o82KrcY6pmwLLM2u9UzVh3WWBZVt25qukRcfnBj/nn1hp8j80vb6/kcoioavE6iT3IUM0/qs+OZdnPc/XZrCsHrMrPqwjimFvXNU2z7udG1kvnl6kbWX6ZVn27wzAtWJbFAWDaNAvakHN+VtVLbQLTsmDpc545bWXPxfznZ/751mKtx1zYXt5a5fr8etxS/QJEl1MtM6tljm4YsCy73LYsC3qlXFru2VrQrl1lWWmaVuWevtTfZFoW24xEtKXM7U+1LFTy08aUz6vp75hfp1lYV5r38xrrQAv7lKwVj1sA8/pULDsdDlwKnlht//dazf0+LMsug7jWMa3GYs/CWsyvay13z1uo1p/sH8xK5nO5c89//lXdhDIneGo17bP5n1vTTTiVS0/PUnnLep5ta9E+E4BdJptnfn/4Stqhc69x7b6t/k0zYBoWTKnSDjAsCALqxicWO4c6L+/WdAObPbWM9yNtN6sph1ZjM8eG56e5rBvwVAIiLNiBwUKl3LMsq1aeLpZ7NPL7WG7OjmHMm5OhGbUgjvWel4iIqFGumCCO++67DwDwla98Bffddx8+8YlPrOk4DocDe/ZcfuW7+YrFIgYGBtDX1we3u7mrzumGidNDKRRLOvzJIoI+BW6njL5Ofy2ytbeg4Wwlst3tkrG3O4Bzo3bkvzdZRMDjgNsloz0oY2xsFIYjDMWhwO91YG9PcMUTIHapBk4P2auwKA4R+3eEoKxiUslGudz1cgbSeOTUNGAB7RE3brq6E6LY+JVjuvNqZZVQwOOSsX9HaFVbni6mle7FRtqsz7WeIK6tpivuw8Vxe5W/cMB52ZU+VsPvURDwKsjkVQgC0BX3wut2IOR3IpUtQxCw7Fbg69HT5qvt+BEPuxddjbgz6kU6p9bywEhg8ZWy2iMeJDIl6LoJp0NCfJEtyVdi7ncdCbjgcTlQKGhQZBHBoAu5kt2y3KjvpCroc9ZW8xJFAZ1r2FVku+iK+XB2OAnLsu/XoHf51dKuP9iGk4NJZDIGZEnAdQfiiEeCGJrMoqwacDsl7J+zklk44EJ3mw+jUzlAAI70N37XGbK5FBmxkLu2kvhan6OeuA8DE/ZKHdGgCy5n61WjHbKI9ogHk7P2LmfdbRubZ9DlOWQR7VFPbee57rgPkiSiK+at7dTTGbN31+iO+2q7ULRFPFAcEp5zsB3/9dQoFIeIsN+FaMi97rJAEOxzjVZW6e6IehbsSLWU+eVjtIG7cACA3+NA0KcgnVM3tC5AtJV0Rr21lexrz50gwOt2IBxwoajq6OsMYCZVhEuREQ260FtZIb8r7qutMlWtY65GLOTCVLKAsmrA61YQDrpQKOqA0Ngypi3iwdh0GgCgOETE1linXglZEtER9WBiTr7MAA7aTPGwXS/VdBMOWazbmeKGIx0YmsiirBsIB1zY0x3ETMpexfXwCtsLi7W11ysWcmM6WURZMyDLItpWuFNOR9SDiRn72XYqEqLBrdUHpTgkxMP2ZwfsvgSitWiLeDCTKiIadCGdV+GQBBiGBcUhwbQs7Gz318qnpay3XRsLue0+rHQRiUwJIb8TnTFfbWVKIqKtYGenH4l0EalsGSG/Ezs6Ag2ry6+mv6M77sP5UbsvP+RfuIJyZ8yHbCEJ07QqYx5r6ztZrC7iUuS6PuvldlPqjl8aB4mF3At2WQ94FQR8CjIb3AfT3ear7fjRFvHAMX9FLaLLUBwS2iIeTM1easevRUfMi3S+XOtfWW61b0kU0Bnz2qt5+xTIkljrU13O/LbTnt4QBsYy0A07ACMWWnl+MD8P2NMbRCavYqpsj6F2LlF3bIt4kEiXoFXmXqy0/QYAkiTWPjcAdMW8656XQKvTHffVVtQP+hT4PZfvy2sP29dc103EQi6UcjKcHgcMS0Q87IEkCiiWdRRUHdGQCz6PUlvOaamy5PDuKJ46Mw0A6OsMNKXdwPuRtpuumBfnKs93wLd8PW41NnNsuCPqRTJTtss1h4S+zgAGJzKwqvXiuBfjM/audpIkQhIEtMW8SExMLzzWKsrly+mMeZErapfq33PyLI/LgUjQhdl0CRCAgzvDmE6XUCzpV/x8GCIiah2tN/tsg73qVa/Cn/3ZnyGZTCIcDq/6/YIgwONZeWN3Prfbva73N8p1B70oqTocsghNNyFLYl3whMcDhEN+aLoBlyJDFAVc4/dV3iNB0w1IkghDKyObnED/ng4oThfcTnlVnaYeD3CD34uyZsCpyJBarOG11PU6steDvu4oypqBsN+5IQEcAODxeBANB+quQ6O0yr3YaNv1czVDPOxG0KdAN8yGBnAAgCgK2L8zjGLZzoeqHfd7e0MolvUFeVIjdUS9CPmdsCzUbXM+l8+j4Kq98cs+ey6njKv2xNadhy33Xfd1+gHRAUkSFw04aSRJFHCwL1LL6+dur36lCfmduHpfHJpurqhsC/rcuPuVRzE8lsDU+AC6Yj54PE7ceetuZAoqAh4FyryBshde14tEugiHQ0JgiW3vqTF2dwfREfWs6zlqi3gQ9DthVJ7TQqHQ4FQ2xs7OANoiHggCFgzOUnPs7AigLVx/TXra/IhVJjJWA4I6Y16EA/Xl03Ov6sb+vgiKJR3RoKth5WN33IdowAULS5eFi1lp+bhWgiBg347whtcFiLaS6nOnavXPXbXOBnQAsGCZFsq6AZ9bqT07bWEPgr5LZddqOWQJR/pjKKs6FIcEWRJRKGkNr5e6nTKO7ArDLEzg8K7Ihj/7Oyr5MoCWDMqk7c2lyDhWbUM6JEhzAil72vx446uOIJkpIRb2wq1Iq24vLNXWXg/FIeHIHjsvmJ/m5XhcDhzZHYFVnMShvvCWbF/u6gqiI+pl3ZrWxemQas/9LUc7UVINOGQJJVWHJIlQZLFWzi5nPe1axSHh+kMdOLgrAl034XBI8LocnARFRFtKV8yHyA0uFEs63C65oWXzavo7okE3/B67L3+xfuOAt3F9J4vVRVbaZ90R9SIccC3ZHhQEAfs3oQ+mK+ZDJOBadjyG6HL6OgNoX2eft8/tWLR/ZSm97X7EQ24cQwwWsKJzz207Vet3Aa8CdY1jiPPzgI6ohahfhkOfXnKy63JtzpWofm6AfSbNEAm44NsbX7KMWczcsWpTV+E2Z7C7vxsulxsOh912KJS02i4WLkWGYZrLliVH+2PY2RmAphlNXZCB9yNtJ+GAa1VzD1Zjs8aG3U4Zx/bG6sq1kN9Zl2fFQx4c2xOzd1+rzClMTCw81mrL5eUEfU5ctTcGTTcXPdaenhAKsUvjGm0RL+fDEBFRS9n2Nd1cLod8Po/29nYAwPe+9z2EQiGEQqHmJqzJRFGoddotNaBrD/aKS7zH/n1Bs/+mOKQ1T/KWJLG2xdpW4vMo2Iw1+OZfB6LNpDikDeu8FwRhQb6x2O82wkoaryt99hqVhy33XW/Gd1I1N6+/0tkN95Xf/25FQk+bD9nEpfcoiozYMvfbVluNditrxH3tdEjAFphUzgHR1rPYNVls0GGx8ikWdAPBxqdprYMeG1033ay6ANFWIkvigomdi9XZFlszar1llzTvPBv1fEqSCJdD3LTJpBz4pWZarg3pcyvwuS8FbKylvbARZen8vGCl5E1+tjcC69bUCHOfe5fTfpbmr9y+Eut5tiVRQOAyu4wSEbU6l9LY4I25VtPfcblxk0b2ncyvi6ymz/py7cFWGo8hupxG1MsX619Zzlr6Dua3nVZ7zvnmfm77mZXhkJZvX6133JJ9Js21lrH56jUvFLTKPSjD41m6P08UL1+WtMric7wfaTtZ7dyD1dis/qv55dr8PGv+M1udU7iSY63H5b7bufkg58MQEVGr2fY13mw2iz/4gz9AuVyGIAiIRCL4p3/6p4ZGtRIREREREREREREREREREREREREREREREV2OYFmW1exEbBWPP/44LMuCoqw+6tyyLGiaBofDsa0CSPi5tp7t+tk263OpqgoAa8oHtrPtel81E7/Txmrk97lcPnAlXrcr8TMDV+bnvhI/M7D052adYOWu1Htno/D7bLy1fqfVfAAAr8c68b5uHH6XjbHS73FufYDf/UL8ThbH72Whrf6dsE6wsbb6/dHK+N02zmJ9BPx+Nwe/583D73p5V0JfIe+B5uM1aL7LXYNm5gW8P1aG39Pl8TtaGY4fXh7vpZXjd7U6rf59bfd8oNW//ysFr0PrWK5OIAgCrr322mXfzyCOVXjiiSdgWRYcDm6rRXSl2u4VLSK6POYDRAQwLyAi5gNExHyAiGzMC4iI+QARMR8gIoB5ARExHyAi5gNEZNM0DYIg4Jprrln2dQziICIiIiIiIiIiIiIiIiIiIiIiIiIiIiIi2gRisxNARERERERERERERERERERERERERERERER0JWAQBxERERERERERERERERERERERERERERER0SZgEAcREREREREREREREREREREREREREREREdEmYBAHERERERERERERERERERERERERERERERHRJmAQBxERERERERERERERERERERERERERERER0SZgEAcREREREREREREREREREREREREREREREdEmYBAHERERERERERERERERERERERERERERERHRJmAQBxERERERERERERERERERERERERERERER0SZgEAcREREREREREREREREREREREREREREREdEmYBAHERERERERERERERERERERERERERERERHRJmAQBxERERERERERERERERERERERERERERER0SZgEAcREREREREREREREREREREREREREREREdEmYBAHERERERERERERERERERERERERERERERHRJpCbnQAiIiIiIiIiIiKirWhsbAxjY2MAgK6uLnR1dTU5RUS0Wfj8ExERERERERER0ZXkpz/9KW699dZmJ+OKl0wmce7cOezatQuxWKzZybmiFAoFKIoCWZaRyWRw6tQp9PX1oa2tbU3HEyzLshqcRiIiIiIiIrpCfetb38LLX/5yAMDs7Cze/va347HHHsOhQ4fw4Q9/mJPbiIhoWzh//jze9a53YWRkBJ2dnbAsCxMTE+jp6cEHP/hB9Pf3NzuJTWGaJh577LG6ie3XXXcdRPHK3RCa38nitvL3wuefiJZjGAamp6cBAPF4HJIkNTlFRERERERERESrd+7cuQW/u/vuu/GpT30KlmVhz549TUjVlenee+/Fvffei1gshgceeAB/8id/gp6eHoyOjuLP//zP8aIXvajZSbwifPWrX8V73/tehMNhfOhDH8Lb3vY2tLW1YXh4GO973/tq82RWg0EcG8A0TXzpS1/CN77xDYyPjwMAOjs78YpXvAKvec1rtnSHraqqUBSl9vO3v/1tPProozh06BB++Zd/uYkpI6LNxLyACCgWi/iHf/gHfOMb38DU1BQAoL29Ha94xSvwO7/zO/B6vU1O4cYYHh5Gb28vAMCyLHzqU5+qPf9vetOb4HA4mpzCxuO1vnKuNTXGq171KnzlK18BALznPe9BMBjEG97wBnzjG9/Ao48+ir/7u79rcgq3nq08yXGrSKfTCAaDl33ddm7vb7b//M//xPDwMG677TYcPHiw9vt/+qd/wu/8zu80MWVb2x133IGvf/3rzU7GlvL9738f1113HcLhMGZnZ/GBD3wAzzzzDA4cOID3vve9aG9vX/R9v/qrv4q7774bL33pS+t+/+1vfxuf/OQn8aUvfWkzkt9SHnvsMbz1rW9FLBZDV1cXLMvC2NgYEokE7rvvPlx//fXNTuKm43eyuK3+vfD5p60qm83iBz/4QV274vbbb0cgEGhyyraHmZkZ/NVf/RW+//3vw+fzwTRNFAoF/MIv/EJtQJfW77HHHsN1110HwO6zu++++2oLR7zzne/k/bwBGJh05WIfSPNxPLa5Wv0Z4P1BtLlaPU9oFRzPaoyVjlldyb74xS/iV37lV5qdjG3vwIEDCxZonJycRHt7OwRBwA9+8IMmpezKM3f87/Wvfz3e/e5348CBAxgdHcXv//7v1+Zn0Ma644478I//+I/IZrN4/etfj09/+tM4evQoBgcH8eY3vxn/8R//sepjMohjA7z3ve/F9PQ0/vt//+/o6emBZVkYHR3FF77wBcTjcXzgAx9odhLXbO6ErH/7t3/DF77wBfzSL/0SfvSjH+F5z3sefu/3fq/JKVy77TpBcztPwNyu12wr2M55QbOw0d9Ym9Fx+eY3vxnxeByve93r0N3dDQAYGRnB5z//eUxNTeF//+//3ZDztJq5z//f/d3f4bHHHsOrX/1qfPe730U8Hse73/3uJqew8Xitr5xrDbB+0Qj/7b/9N3z1q18FALzyla/EV77ylVo59spXvhJf+9rXmpi6rWerT3JsRZ/97Gfxhje8AYDdXnrTm96E4eFhxGIx/MM//AP279+/5Hu3c3t/M330ox/FI488goMHD+I73/kOfvu3f7t2TeaWP7S817zmNQt+d/r06do9zEnEK/Pyl78c//mf/wlRFPH2t78d7e3teOUrX4mf/OQnePDBB/FP//RPi77vpS99Kb7zne+s+m/b2R133IG//Mu/xNGjR+t+//TTT+Nd73rXFRlgxO9kcVv9e+Hzv/EYbNB43/ve9/D+978fz3nOc+raFY8++ij+7M/+DC9+8YubncQt7zd/8zdx66234rWvfW2t7yCfz+MLX/gCfvKTn+Czn/1sk1O4PcxtL3z4wx9GIpHA6173Onzzm99EOp3Ghz/84SancPtgYBKxD6T5OB7bXK3+DPD+WBmOwV8eA4JWptXzhFbA8azVOXXqFP7wD/8Q4+PjuO222/D+978fkUgEAMdJ5rv//vsX/O5d73oXPvjBDwIAbrvtts1O0hXjb//2b/HUU0/hfe97X22uzO23344f/vCHTU7ZlWduv/OrX/1qfPnLX679jQu8bZ65+fP8Z2HuPJnVkBuVOLrkwQcfxHe/+9263+3ZswfPf/7z8ZKXvKRJqWqMuTE/X/nKV/CJT3wC7e3teN3rXodf+7Vf29INwbe97W2Ix+P4xCc+sWCC5tvf/vYtO0HzzW9+cy3j+Pu///u6CZgf/vCHt/QEzO16zbaC7ZwXNMv73vc+TE9P4+67717Q6H/22WfZ6F+l1772tYt2XH7xi1/E+Ph4Q+7R06dP4+Mf/3jd7/bs2YP3vOc9C1bj3E7mPv8/+MEP8JnPfAaBQAAvfvGL8epXv7qJKds4vNZXzrUGWL9oBFVVcf78eViWBVEU6wZBBEFoYsq2pve973342Mc+tmUnObair371q7WAgY9+9KN43eteh7vuugvf+c538KEPfQif/vSnl3zvdm7vb6Yf/vCH+PKXvwxFUfCmN70Jv/u7v4tisYg3velN4FojK1coFHDttdfizjvvhGVZsCwLb3nLW3Dvvfc2O2lbiiAItZXgTp06hQ996EMAgP7+/mVXzAmHw/jqV7+KV77ylbX3m6aJ//iP/0A4HN74hLcgVVUXlFcAcOzYMaiq2oQUNR+/k8Vt9e+Fz//GWizY4Mc//jE+8pGPMNhgHf7n//yf+MIXvoCenp663w8PD+O3f/u3+b02wPj4OH7rt36r7nderxd33303vvjFLzYpVdvP3PbCAw88gC984QtwuVw4duwY7rzzziambPt561vfiltvvRUf+MAHFgQmvfWtb2Vg0hWAfSDNx/HY5mr1Z4D3x8pwDP7yNmNcfTto9TyhFXA8a3U++MEP4h3veAeuuuoqfPazn8Vdd92Fz3zmM2hvb+c4yTy/8zu/g6uvvrpuoepMJoNPfvKTEASBQRwb6Pd///dx4sQJvOUtb8Gdd96JX/u1X+N4f5M873nPwwc/+EH8yZ/8CW655RZ87Wtfwx133IGf/OQnCIVCzU7eFUMQBJw9exbpdBqFQgFPPvkkrr76aly8eBGGYazpmAzi2ACCIGB2drYWHVmVTCa3fCY2N/2GYaC9vR0A4PP5tnyE+nadoLmdJ2Bu12u2FWznvKBZ2OhvrM3ouBRFEQMDA+jr66v7/cWLF7f1dqBzn39JkmqrYCqKsm2ff17rK+daA6xfNEKpVMI999xTy4snJibQ0dGBbDa7rZ+ZjbLVJzm2orn1hHPnzuF//a//BcBeweTv//7vl33vdm7vbybLsmqru8XjcXzmM5/BG9/4RhiGwe9xFb761a/iox/9KD796U/j/e9/P+LxOJxOJ2644YZmJ21LiUajeOKJJ3DNNdego6MD09PTiMfjyOVy0HV9yfd9+MMfxnvf+1785V/+Jdra2iAIAiYmJnDw4EH81V/91SZ+gtbR29uLv/3bv8Vdd91Vm8ieTCbxr//6rwsmDV8p+J0sbqt/L3z+NxaDDTaGaZqLPl+9vb0wTbMJKdp+XC4XHn300QWryz7yyCNwOp1NStX2Y1kWSqUSLMuCLMtwuVwAsGARCVo/BiYR+0Caj+OxzdXqzwDvj5XhGPzlMSBoZVo9T2gFHM9anVwuhxe84AUAgD/6oz/Crl278Ou//uv4zGc+w3tqnr/6q7/Cv//7v+Otb30rjh07BsBeAf9f/uVfmpyyK8OhQ4fwuc99Dh//+Mfxhje8AZqmNTtJV6S3ve1t+MhHPoLnP//5CIVC+MQnPoF3vOMduOmmm/CXf/mXzU7eFeOP//iP8frXvx6CIOCjH/0oPvaxj2F6ehoTExNrDg5mEMcGeOMb34g777wTL3nJS9DV1QVBEDAyMoLvf//7+IM/+INmJ29dLl68iNe85jWwLAuDg4PI5XLw+XywLGvZge2tYLtO0NzOEzC36zXbCrZzXtAsbPQ31mZ0XN5777246667cPTo0bry/vjx4/iLv/iLhpyjFZ05cwY333wzLMtCPp+v3be6rq85qrjV8VpfOdcaYP2iEZbaPlWW5QUBMnR5W32SYyvK5XK4//77YVnWgvzscqsbbef2/mbyeDwYGRmp3cM+nw///M//jLvvvhtnz55tcuq2DkVR8La3vQ2PPvoo3vSmN+Guu+5qdpK2pHe/+934/d//fVxzzTWIxWL41V/9Vdx444145plncM899yz5vp07d+Kzn/0sZmdnMT4+DgDo7Oxc0Ka7ktx3333467/+a9x+++11v3/Zy16G++67r0mpaq777rsPH/nIR/idzLPVvxc+/xuLwQYb4+jRo3jHO96Bu+66q1aPHR0dxb/+67/i8OHDzU7etvD+978fb33rW+F0OuvaCqqq4q//+q+bnbxt4/Tp07jmmmtgWVYtiK6jowOlUol5RIMxMInYB9J8HI9trlZ/Bnh/rAzH4C+PAUEr0+p5QivgeNbqFItFmKZZG3++88474XA48Bu/8RsMepnnVa96FW655Ra85z3vwb59+/DmN7+ZefgmUxQFf/qnf4onn3wSDz/8cLOTc0VSFAXvfOc78cd//McYGhqCruvo6uriztCb7NZbb8VDDz1U+/mGG27AyZMn0dnZiWg0uqZjChb3X9oQIyMj+M53vlM3iPOSl7wEvb29TU7Z+szPhA8fPgyv14vp6Wl897vf3dITBn70ox/h3e9+95ITNF/4whc2O4lrcvjwYQQCgdoEzPvvv782AfNVr3rVlt6ubrtes61gO+cFzfLFL34RH//4x5ds9P/Kr/xKs5O4pVx99dXYs2cPLMvCwMAA7r///lrH5R133IFvfOMbDTlPoVDAT37yk7ry/tZbb61tL78djY6O1v3c1tYGh8OB2dlZPPbYY9t2RUxe6yvnWrN+Qa1mdnYWH/nIR/Ctb32r7vcve9nL8Kd/+qdr7gy4kv2P//E/6n7+yEc+gvb2diQSCdxzzz348pe/vOz7t2t7fzM9+OCDCIVCOHDgQN3vC4UCPve5z+FNb3pTk1K2dRWLRdx333147LHH8LWvfa3ZydlySqUSvv71r+P8+fO1ju+Xv/zl6OzsbHbStqxUKgUA3MZ7jup38vTTT+P5z39+cxPTQlKpFAzDwPnz57F7927EYrFmJ4ma7C1veQsURVk02KBUKuGjH/1os5O4JZVKJfzzP/8zvvWtb2FsbAwA0N3djZe+9KW4++674Xa7m5zC7eOZZ56payscOXKEk0s2QSaTwYULF3D11Vc3OynbxlNPPbVsYNJVV13V7CTSJmAfSHNxPLb5WvkZ4P2xMhyDv7zNGlffDlo5T2gFHM9anXe+85148YtfvGDs+Zvf/CbuvfdeHD9+vEkpa22f//zn8cUvfhFTU1P42c9+1uzkEBGtG4M4iObYjhM0t/sEzO14zejKxUZ/47DjkojWg/ULalWcELuxDMOApmlwuVzNTgoR0ZY0OjqK9773vRgZGcHtt9+OP/qjP6qt0vza174W//7v/97kFG6+c+fOLfjd3XffjU996lOwLAt79uxpQqqa795778W9996LWCyGBx54AG95y1vQ3d2N0dFR/Pmf/zle9KIXNTuJ1EQMNqDtIJPJQJZleDyeZidlW+P3vDkYmPT/b+++o6I63sePvykiGAKIgAXsBRuKRkQsiFiwEOxiw95FY8feYgGjQQWsGAUDSkSwG42iMTGWaDQm+tHYkgA2LIgIEYH9/cGX/bkCAgoswvM6x3Oyc++dfWY2y7177zwzQgghPnbyDP7d5Lm6yA/yPEvkp6ioKC5fvoyzs7O6QxFCiA8mSRwF7MSJE0V29t6i3DYhRM7J3wJRXKSmphIaGsqBAwdUbvp16dKFXr16FenlZQ8ePEhkZCStW7emTp06yvKNGzcyevRoNUaWP5KSktDR0VG+/v7777lw4QJ169alR48eaowsf02cOBEXFxfatGlTpP9/FuJj5uTkxJEjR9QdRpHyIX0q18F5Q/oxb0g/5g3px9wZOXIkDg4ONGzYkO3bt/PPP//g7++Pvr4+3bp1Y8+ePeoOscDVrl2bChUqqJQ9fPiQsmXLoqGhwfHjx9UUmXp9/vnnytWBBw4cyNy5c6lduzbR0dG4u7sTHh6u5giFKJpSU1O5ePGiMjmmQoUKfPbZZ2hqaqo5sqIhPj6er7/+mn379vHy5UsAypUrx4gRI2TgWx5K7+e9e/eSkJAASD8LoQ7yW0n95DNQr8Le/4U9PiGKGvnOZU+eZ+WO9FfOSV8JIT522uoOoLg5fvx4kb1wK8ptCwkJwdXVVd1h5Lmi2i4o2m0r7Iry3wJ1kR/9eSuv+nPhwoXExMQwfPhwLCwsUCgUREdHs3PnTq5evcrixYvzINrCx9vbm19//ZU6deowcuRIRo4cyeDBg4G05IaimMTh6uqqHEQUHBzMzp07cXZ2ZteuXdy/f5/x48erOcL8cf78ee7evcuCBQtwcXGhV69eVK9eXd1h5bvinKAlCqfMZvBOlz4wSOROfvWpXAfnDenHvCH9mDekH3Pn8ePHysGTXl5ebNiwgSFDhrB169ZiO1uzu7s7v//+OwsXLsTc3BwAR0dHIiIi1ByZeiUlJSn/OzExkdq1awNpqy0kJyerKyxRiEiyQd67ePEi06dPx8TEhAoVKqBQKLh37x5PnjxhxYoVNGnSRN0hfvRmzZqFpaUlAQEB7N27l7Jly9KkSRPWrl1LXFwcY8eOVXeIRUJ6PwcGBko/57PExETWr1/PgQMHePToEQBly5alS5cujB49WlasLebkt5L6yWegXoW9/wt7fIWFPIPPnvRRzsh3Lo08z8od6a+ck74SQhRlshKHyJW4uDgMDAzUHUaBW7t2LRMnTlR3GHmuqLYLinbbCpN79+6pPEx9e3ZJkTfmzp3LkiVL1B1GkZFX/dmhQweOHj2aoVyhUNChQwd++OGHD36Pwujzzz9n9+7d6OjoEBMTw9ixY2nXrh1jxowpsrPrvtmu3r174+vrS9myZYmPj6dfv37KGWSLmvR2X7lyhdDQUA4fPkz16tXp1asXnTt3plSpUuoOMV/Mnz+fmJgY+vbtmyFBy9TUtMgmaInCq3bt2pibm5PZT/dHjx7x559/qiGqj1te9KlcB+cN6ce8If2YN6QfP1zHjh35/vvvVcq2bNnCwYMHiY+Pz/T3U3Fw7do1Fi9eTNeuXenXrx9t27YttitwpPvyyy/R1NRkypQprFu3jpo1a/L5559z6tQp/P392b59u7pDFGokyQb54/PPP2fZsmVYWVmplF+5coU5c+YU2XsbBcnZ2ZkDBw4oX/ft25edO3eSmJhIt27dZGbQPCL9XHAmTpyIqakp/fv3VyajRkVFsWPHDh49eoSPj4+aIxTq8Pz5cwwNDdUdRrEmn4F6/fTTT7Rq1UrdYaiQ+xnvT57BZ0/6SOSGPM/KHemvnJO+EkIUZbISRz44fPgwnTp1AuDp06fMnDmTixcvUrduXby8vD7qH03NmzenVatW9O7dGwcHh2Iz81VRTQYoqu2Cot22wuD27dvMmTOHqKgoypcvj0Kh4MGDB1hYWLB06dJiMVN7QZIbI3krr/pTQ0ODp0+fYmxsrFL+7NmzIj3LrEKhQEdHBwBTU1O2bdvGiBEjSElJKbLtfrNdKSkplC1bFgB9ff0ivSpDersbNGhAgwYNmD17Nt9//z27d+9m+fLlXLx4Uc0R5o+zZ89mGGBYo0YN7O3t6dChg5qiEsVZhQoVCA4OVv7teVPr1q3VENHH70P6VK6D84b0Y96Qfswb0o95p3r16pw6dQp7e3tl2fDhw9HU1MTLy0uNkalX3bp1CQwMZO3atQwePJjXr1+rOyS18/DwYOXKldjb22NkZMTmzZuZNWsWzZo1Y9myZeoOT6jZwoULWbNmjSQb5LGkpKQMfQppv/nfXB1HvD8NDQ0SExPR09Pj6dOnyr/3enp6yntp4sNJPxecGzdusHbtWpWyGjVqMG/ePJycnNQUlShI169fZ/bs2crreS8vL86dO0fp0qXZuHEjlpaW6g6xyJPPQL0ym/V77ty5fPPNNygUCmrUqKGGqP4/uZ/x4eQZfPakj/6/e/fuMW/ePKKionB0dGTSpEmULFkSAFdXV0JCQtQcofrJ86zckf7KOekrURRERUXRtm1bli9fTo8ePQAICwtj1qxZHD9+HAsLCwD279/PkydPGDJkiBqjFQVJkjjywaZNm5RJHN7e3tSqVYulS5dy4MABli5dip+fn5ojfH/m5ubY2Njw9ddfM3/+fLp160bPnj2pWrWqukPLE8VtmfaiOFNHUWxTYTRr1iyGDx+e4Ub9999/j4eHB6GhoWqKrGhycnKSGcTyUF7154gRI+jatSsdOnSgQoUKaGhoEBUVxbFjx5gwYUIeRFo4lSpViqioKOUPCH19fbZs2cLw4cO5efOmmqPLH3fv3qVXr14oFAr++ecf4uPj0dfXR6FQkJycrO7w8s3bM1no6urSrVs3unXrRmRkpJqiyn/FNUFLFF6Ojo5ERkZmemOybdu2aojo4/chfSrXwXlD+jFvSD/mDenHvOPt7Z1p+dChQ+ncuXMBR1O46OjoMG3aNC5fvsz58+fVHY7a6ejoMHv2bCZPnsy///5LcnIyFSpUoHTp0uoOTRQCkmyQPypWrIivry8DBgxQfteePXtGUFCQ8h6P+DBdu3bF1dWVJk2acPr0aYYNGwZATEyMmiMrWqSfC46mpiZ///03VapUUSm/e/dukX1uKlQtWbKEcePG8eLFC0aMGMEXX3zBpk2b+OGHH/Dy8uKbb75Rd4hFnnwG6uXs7JxhgtbHjx8zcuRINDQ01L7CotzP+HDyDD570kf/34IFC3B0dKRhw4Zs376dwYMH4+/vj76+Pq9evVJ3eIWCPM/KHemvnJO+EkWVg4MDISEhmJmZKcsOHDjAzZs3JYmjGNFQZLbOkPgg3bp1Y8+ePQC4uLgQHh6unKXZxcWFffv2qTG6D9O9e3fCw8MBuHTpEmFhYRw6dIjatWvTu3dvunXrpt4AP0BRXab9+vXrfPHFF9y/f5/WrVuzaNEi5aDENz/Pj1FAQACDBw8GIDIykjFjxhAZGYmJiQnr16+X2Ufy0bt+rMsP+feT2Wwu6YYMGcLPP/9cgNF8/AqqP6Oiojhy5Aj3798HoHz58nTo0IGKFSvmSf2F0dmzZzEyMqJ27doq5QkJCQQGBjJmzBg1RZZ/3h5kVa9ePT755BNiYmI4evQoAwYMUFNk+WvPnj0f9bXd+9q1axdr167NMkGrd+/e6g5RCKFGch2cN6Qf84b0Y96QfhRCiMJlxIgRWFtbZ5pscOnSJbZs2aLmCD9OT58+5auvvuL7779XKe/YsSPTpk2jTJkyaoqsaDl9+jQ3btygfv36NG3aVN3hFFnSzwXjxIkTzJ07FysrK5V7ZH/++SdLliyhTZs26g5R5LM3xzw4ODhw8uRJ5bauXbuyd+9e9QRWjMhnoF6+vr78/vvvLFy4EHNzcyBtEGlERISaI0sj9zNyRp7BZ0/6KGfeHl+1YcMGjh07xtatWxk0aNBHPfZKCCFE/stsJY7MjB49mps3bxaaa06R/2QljnyQlJTE7du3USgUaGpqKhM4gCI1e2+jRo1o1KgRs2fP5vDhw4SGhn7UA/2K6jLtS5cuZdasWTRs2JCAgAAGDBjAtm3bKFu2bIYZtj82e/bsUSZxeHt7079/fwYMGMCRI0fw9PRk69atao6w6CpdujR79uzBxcVFOeNSamoqe/fulVkT35OzszPm5uaZfi9jY2MLPqCPXEH1p4WFBcOHD8+z+j4GzZo1y7S8VKlSRTKBA8jyYbCpqWmRTeAAPurrug/Ru3dv7OzsVBK0zM3NCQoKKtIJWkKInJHr4Lwh/Zg3pB/zhvSjEEIULitWrGDlypU4OjqqlHfs2JEVK1aoKaqPn7GxMcuXL2f58uXKe2NGRkZqjakoatGiBS1atFB3GEWe9HPBaNOmDT/88AOnTp1S3iOzsbHh66+/5pNPPlFzdKIgvPl8xdbWNsttIv/IZ6Be7u7uXLt2jalTp9K1a1f69etXqMb7yP2MnJFn8NmTPsqZxMRElddjxoyhRIkSDB48mJcvX6opKiGEEO/j5MmTeHt7c/v2bczMzBgwYAAJCQn4+vpy48aNdyZcWFpa4u7uzoQJEwD4559/2LBhAxcvXuThw4cYGBhQr149Jk+enO0E5GFhYcyaNYvjx49jYWGBm5ubcpLZN4+9fv06Tk5OVKxYMcMENy9fvsTe3h4XFxcWLFiQF90jCpgkceSD//77j1GjRikvcB88eEC5cuV48eLFR7+8bGYX7Xp6evTo0eOdGWIfg6K6THt8fDwODg4ATJo0iapVqzJo0CC2bdtWqG4yvI83/3+8desWX3/9NZA2s8S6devUFVax4OXlxfz581m2bBlmZmZoaGjw4MED6tSpw/Lly9Ud3kepQoUKBAcHZ7r8X+vWrdUQ0cdN3f154sSJYjkTWXFsd3FsMxT9dhfHBC0hRM7IdXDekH7MG9KPeUP6UQghChdjY2OWLVvGsmXLJNkgD0VHRzN//nyioqJwdHRk0qRJym2urq6EhISoL7giIjk5mcDAQPbu3Ut0dDTa2trUqFGDkSNHyv3dPCT9XLBKlSpFx44d1R2GUBMTExPi4+PR19fHy8tLWf7o0SNKliypxsiKD/kM1K9u3boEBgaydu1aBg8ezOvXr9UdkpLcz8gZdT8z/hhIH+VM9erVOXXqFPb29sqy4cOHo6mpqfI3WgghROF25swZxo0bh7W1Nd7e3qSkpODv78+TJ0/eq75Hjx5hZGTE1KlTMTY25vnz54SHh9OnTx/Cw8OpVq1ajutasGAB8+bNIzIyEl9fX2W5hoYGAwcOZNmyZfz9999UqVJFuW3Pnj3Ex8cX6QloizpJ4sgHWS1lo62tzdq1aws4mry1fft2dYeQbypWrIivr2+my7RbWFioObr3l5iYSGpqqjKBqGvXrpQoUYIhQ4Z81MkpkJag8uOPP6JQKEhJSVHZJrOP5K/KlSsTEBDA06dPlTMwlS9fHmNjYzVH9vFydHQkMjIy05sjbdu2VUNEHzd19+fx48eL9AD3rBTHdhfHNkPxbXdRT14RQmRProPzhvRj3pB+zBvSj0IIUXi9nbzh5OTEkSNH1BPMR27hwoU4OjrSsGFDtm/fzuDBg/H390dfX59Xr16pO7wiYeHChSgUCsaPH8/BgwepWbMm1apVw9vbm4cPH9KnTx91h1gkSD8XnNTUVEJDQzlw4IDKdXKXLl3o1asXWlpaao5Q5Le3Z3hNV6pUKXx8fAo4muJJPoPCQUdHh2nTpnH58mXlzMiFgdzPyBl1PzP+GEgf5Yy3t3em5UOHDqVz584FHI0QQoj35e3tTZkyZdi6dasyMbply5bvfc6zsbHBxsZG+TolJYXWrVvj7OxMSEgIs2bNynFdNWrUwMDAAB0dHaytrVW29ejRg9WrVxMUFMScOXOU5cHBwdja2lKjRo33il+onyRxFCA9PT0qVqyo7jA+yKeffqruEPJNUV2mvXHjxvz4448qAw7Tf0DMmDFDXWHlifLly+Pv7w+kzdD28OFDypYty5MnTyhRooSaoysejI2N5UZQHpk7d26W2+bPn1+AkRQNBdmf9+7d4969e0DaTCUVKlRgyZIlefoehVFxbHdxbDMU33ZnprgmrwghMpLr4Lwh/Zg3pB/zhvSjEEIUDrdu3cpy28uXLwswkqLl8ePHyhn5vLy82LBhA0OGDGHr1q0f/YrdhcVvv/3GoUOHAHBwcGDo0KG4u7vTrFkzBg4cKMkFeUT6ueAsXLiQmJgYhg8fjoWFBQqFgujoaHbu3MnVq1dZvHixukMUaqKvr4++vr66wyjW5DNQD2tr6wyD6QoDuZ/xbvIMPnvSRzmjo6OT5bbMEmCEEEIUPgkJCfzxxx/0799fZWU7fX192rRpQ3h4eK7rTE5Oxt/fn3379vHvv/+qrNx2+/btPIk7PcYePXoQHh7O5MmTKVWqFGfOnOHWrVt88cUXefY+ouBJEocQ/6eoLtO+bNmyTMs7d+780WeDZ7UyjJGREUFBQQUcjRCiuLl9+zZz5swhKiqK8uXLo1AoePDgARYWFixdupTq1aurO8R8URzbXRzbDMW33e9SXJNXCjNHR0eaNm2Kp6fnO/c7d+4cgwYNIjAwEFtbW7XHI4QQQnwsDh06hJ+fH5GRkbx69Yo9e/ZQp04ddYeVpywtLXF3d2fChAnKsjNnzvDVV19x584dEhMT8fPzo127dgUe29vXFgVxTZNZf2QmLCyMWbNmcfz48Y96FWNR+Dg7O2Nubp7pSsvp9+1F7iUmJqq8HjNmDCVKlGDw4MGSHJNHtLS0SElJQUtLi9evX5OQkACkPXuSFQvyjvRzwTl79ixHjx5VKatRowb29vZ06NBBTVEJIYQQQgiRP6Kiomjbti3Lly+nR48eeV5/+n29NWvW0LFjxzyp08fHB19fX27cuJEn9QlR1MXFxZGamoqJiUmGbZmV5YSnpydBQUGMHDkSGxsbDA0N0dDQYO7cuXm++q2bmxtBQUHs378fV1dXgoKCKFeunKyc9ZGTJA4hMlFclmkvqu3S0tKic+fORbJtQojCY9asWQwfPhwnJyeV8u+//x4PDw9CQ0PVFFn+Ko7tLo5thuLb7ncpqtdOHzNfX1+ZdU4IIYTIJ0+fPmXGjBm0bNmSBQsWoKOjQ5UqVdQdVr5TKBRMmjSJKlWqsH79evT09Khataq6wwKgXr16hISE5OvS6CEhIZQrVy7f6hciOxUqVCA4ODjTmUxbt26thoiKhurVq3Pq1Cns7e2VZcOHD0dTUxMvLy81RlZ0tGzZklGjRtG8eXOOHz9O+/btAXjx4gXJyclqjq7okH4uOBoaGjx9+jTD7O7Pnj2TFXyEEEIIIYQQQnx0DAwM0NDQ4PHjxxm2vVmWvkpHUlKSyj7Pnj3LcNy+ffvo1q0bU6ZMybCvgYFBXoStVLlyZezt7QkKCsLe3p6IiAgmTJggk1p85CSJQ4j/U1SXaS+q7YKi3TYhROH3/PnzDIPbATp27Ii3t7caIioYxbHdxbHNUHzbLdcX+ScxMRE9Pb08rbNu3bp5Wp/InEKh4NWrV+jq6qo7FCGEEAXo7t27vH79GhcXF5o2bfrOffPjPK8ujx49IjY2lnbt2mFnZ5cndebVuVRfXx9ra+s8iSkr+V2/ENlxdHQkMjIy0yQOmVXu/WX1O37o0KEf/YrdhcWMGTMIDQ3l+vXr9OnTh27dugFpD/6//fZb9QZXhEg/F5wRI0bQtWtXOnToQIUKFdDQ0CAqKopjx45lu2KXEEIIIYQQQghR2JQqVYoGDRpw9OhRZsyYoUzWiI+P58SJE8r9TExMKFmyZIZVbo4fP56hTg0NDUqUKKFSdvLkSR4+fEjlypVzHaOOjg7//fdfltsHDRrEsGHD8PDwQFNTkz59+uT6PUThIkkcQvyforpMe1FtFxTttgkhCr/SpUuzZ88eXFxc0NTUBCA1NZW9e/dSunRpNUeXf4pju4tjm6H4tluuL/JG+vK9YWFhbNy4kTNnzlCyZEl+/vlnFAoFwcHBfPfdd9y9e5eSJUtiZ2fH9OnTqVixorKOa9eusWbNGq5cucKLFy8wMjKibt26LF68WDk7tKOjI02bNsXT01N53O3bt1m2bBkXLlxAV1cXJycnHBwcMsSY2bGQtgwpwPbt2wF49eoV3t7enDlzhqioKLS0tKhatSojR46kXbt279U/hw8f5ptvvuHOnTskJydjYmJC06ZNWb58OQBhYWHMmjWL48ePY2FhoTwufanlwMBAbG1tgbRBoRs3biQkJITHjx9Ts2ZNpk6dyoYNG967HZaWlgwYMICaNWsSGBhIZGQkc+bMoV+/fu/VXiGEEB+fmTNnEh4eDsDkyZOZPHkyTZs2Zfv27cycOZMjR46wc+dOvLy8uHTpErVq1SIkJISkpCT8/f3Zt28fUVFR6Ovr06ZNG6ZPn55hFudDhw4REBDAjRs30NDQoHHjxkydOjXbJM3ExETWrl3LkSNHiImJQU9PDwsLC4YNG4azszOQ8Xz+ZrvOnz9PREREpnWnX8MArFy5kpUrV2Jubk5ERESWx6Yf8+YDndyeS1+/fo23tzd79+4lPj6eunXrMmvWrAz7ZXYtAGkPjzZt2sT169fR1NTE2tqaiRMn0qhRIwAOHjzIlClTmDdvHgMHDlQet3btWtavX4+/vz8tWrRQxu7u7q4yOPPy5ct4enpy9epVDA0N6d69u8p125ve93MVIt3cuXOz3DZ//vwCjKRo0dHRyXJbZgkzIvc0NDTo3bt3hnIdHR3KlCmjhoiKJunngtO7d2/s7Ow4cuQI9+/fB8Dc3JygoKAsrwOEEEIIIYQobP755x82bNjAxYsXefjwIQYGBtSrV4/JkydjaWmZ7fG3b9/Gz8+Ps2fPEhcXp3ymt2TJEuVv7b/++gtvb28uXLjAf//9R7Vq1RgyZAjdu3fPUF9ycjLe3t7s3r2bhIQEGjRowPz586lWrZrKfqGhoQQGBnL37l309PSwsbFhypQpVK9ePW86Rohi6osvvmDEiBEMHTqUYcOGkZKSwubNm9HT01OOB9HQ0MDFxYXdu3dTqVIlateuzZUrVzhw4ECG+hwcHAgPD6datWpYWlpy9epVtmzZ8t6rXdeqVYujR48SHBxM/fr10dDQwMrKSrm9RYsW1KhRg3PnzuHi4iL3QooASeIQ4v8U1WXai2q7oGi3rbjLauBiTvz222+cPn2awYMHZ1iWLLNBHJkNTigsctMPb7ctKiqKtm3bsnz5cnr06AG8u29E7nl5eTF//nyWLVuGmZkZGhoaPHjwgDp16igH4RZFxbHdxbHNUHzbLdcXeWvChAl07tyZvn37kpCQAKQNvAoPD8fNzY1p06bx/Plz/Pz86Nu3L3v37sXExISEhASGDh2KhYUF8+fPx8TEhJiYGM6dO/fOFVEeP36Mm5sb2traLFiwgDJlyrB//36+/PLL925DUlISz58/Z9iwYZQtW5bXr1/zyy+/MGHCBJYvX66c9TOnLl26xOTJk+ncuTPu7u6ULFmSe/fucfbs2feKz9vbm40bN+Lq6kr79u158OABc+fO5fXr11StWvW923Hs2DEuXLjA+PHjMTExkRtA4qORfg0dGhqqclMzM1kN8v5QOf2N8SG/e4TIb+PGjcPKyorFixczZcoUbG1t0dfXV25//fo1Y8eOpW/fvowcOZKUlBRSU1MZN24cFy9eZPjw4TRu3Jjo6Gh8fHy4cuUKu3fvVq5EsWHDBlavXk2PHj0YO3Ysr1+/ZsuWLQwYMIBdu3ZRo0aNLGNbvnw5+/btY9KkSdSpU4fExET++uuvPEm47d27N7Vr18bd3R03NzecnZ3fOfD5XXJzLp03bx579uxh2LBhtGjRgps3b+Lu7p6jleD279/PtGnTaNmyJatWrVIm0ri5ubFt2zaaNGlCly5dOH/+PJ6enjRs2BArKyvOnDnD+vXrGT16tDKBIzO3bt1iyJAhmJub4+npia6uLsHBwZk+sPqQz1UIIYqyEydO0KZNG3WHUeRJP+c9CwsLhg8fru4whPiouLm58ezZs0yvl58+fYqdnV2hfS4pRHGU2TP13HB0dKRmzZps3LgxT+JJTEzE39+fpk2bqkzeIIR4f48ePcLIyIipU6dibGzM8+fPCQ8Pp0+fPsqB11m5fv06/fr1o3Tp0kycOJHKlSsTExNDREQESUlJ6OjocOfOHfr27UuZMmWYM2cOpUuXZt++fcycOZPHjx8zcuRIlTq//vprGjduzNKlS4mPj2flypWMHTuWQ4cOoaWlBcDGjRv5+uuvcXZ2ZurUqTx79gxfX19cXV0JDQ2lSpUq+dllQhRpLVq0wM/Pj9WrVzNp0iRMTU3p168fr169Uk7wBGkTQgH4+/uTkJCAra0tGzZswNHRUaW+OXPmoK2tzaZNm0hISKBu3br4+PiwZs2a94pv0KBB3Lx5E29vb168eIFCociwIkinTp3w8fFRmbBJfLwkiUOI/1NUl2kvqu2Cot028f4uXbqEr68v3bt3z5CosGDBAjVF9X4cHBwICQnBzMws18eamZkREhJCpUqVlGXv6huRe5UrVyYgIICnT58qZyIrX758htlli5ri2O7i2GYovu2W64u81a1bNyZOnKh8ffnyZb777jtmzpzJ0KFDleVNmjTBycmJrVu3Mn36dO7cuUNsbCxLly5VWSWic+fO73y/bdu28fTpU/bs2UPt2rWBtOSbYcOGce/evfdqw6effqqSuJSSkoKdnR1xcXEEBAS8VxKHQqFg0aJFfPrpp8ry93lA9Pz5c7Zu3Urnzp1ZvHixsrxmzZq4urqqJHHkth0JCQns378fQ0PDXMclRHEXEhLy3jPsCFFYVKpUSTngvnLlylhbW6tsf/36NePHj6dnz57KsoMHD/LTTz/h4+NDhw4dlOW1a9emV69ehIWF0b9/f+7fv698wPDmjPvNmzfHyckJX19fVq9enWVsly5dokWLFgwZMkRZltmqW++jXLlyJCcnA2nXvm+3Ozdyei69ffs24eHhDBkyhBkzZgBpD5LKlCnDtGnT3nlsamoqK1asoFatWmzevFm5gl7r1q1p3749K1euZOfOnUDaw6QrV64wadIkNm3axLRp02jSpEm2g8f8/PxQKBQEBARgYmICpPV3+qon6T70cxVCiKLs+PHjklxQAKSfC44kzAghhBD5IzExEV9fX9zd3SWJQ4g8YmNjg42NjfJ1SkoKrVu3xtnZmZCQkExXw023fPlytLW1CQ0NVXlG7uLiovxvX19fXr9+TWBgIOXLlwfS7s3FxcUpJ7F783lgjRo1WLlypfK1pqYmkyZN4o8//sDa2pq4uDjWrVtH69atWbVqlXI/W1tbOnTogI+Pj0q5ECL3HB0dMyRj+Pj4qLzW19dnyZIlGY59O6HCwMCApUuXZtjv7QnkLCwsMhzbo0ePDGMEDA0NWbt27Tvjj4iIoH79+jRs2PCd+4mPgyRxCPF/iuoy7UW1XVC02ybyx8c246OxsfF7D5bW0dH5oMEmIuc+5HP6mBXHdhfHNkPxa7dcX+StNwdwQtpD/vTlR9MHSAKYmJhQu3Ztzp8/D6QNFjU0NGTlypXExMRgY2OTo/P4uXPnqFmzpjKBI52zszOnT59+73YcPnyYgIAAbty4oVxRBKBkyZK5rit9ZYBJkybRs2dPPvvss0yThnLi8uXLJCUl0alTJ5Vya2trzM3NM+yfm3Y0a9ZMEjiEyAWFQsGrV6/Q1dWV63BRbDg5Oam8PnHiBAYGBrRp00blPF+nTh1MTU05f/48/fv35+effyY5OZmuXbuq7FeyZElsbGw4d+7cO9/XysqK/fv3s3LlSlq1akXDhg2VK3wUJjk9l6a39/PPP1cp79Spk3K2r6zcvXuXR48eMXjwYGUCB8Ann3xChw4dCAkJITExET09PXR0dJSrZHTv3h19fX1WrVqlnOHvXfHZ2dkpEzgAtLS06Ny5s8rMZB/6uQohRFFx79495SQCFSpUoEKFCpk+9BcfRvpZvSRhRgghhBBCfCySk5Px9/dn3759/Pvvv7x+/Vq57fbt21kel5iYyK+//kqvXr3e+az87Nmz2NnZKRM40nXv3p1Tp05x6dIl7O3tleVvDxy3tLQE0n7jWFtbc+nSJf777z+6d++usl/58uVp1qwZZ8+ezb7RQogiJz4+nr/++ouTJ09y9epV/Pz81B2SyCOa2e8ihBBCZO3YsWNYWlpy5syZDNuCg4OxtLTk+vXryrLjx4/j6upKw4YNadSoEUOHDuXSpUvZvs/p06cZO3Ys9vb2WFlZ0b59e+bPn8/Tp0+V+/j4+LBixQogbbZ0S0tLLC0tlQMF3NzccHNzy/a9YmJimD9/Pvb29tSvXx9HR0d8fX1VBiFk5dChQwwbNoyWLVvSoEEDOnXqxMqVK1UGSqb7/fffGTNmDLa2tlhZWdGuXTuV7NywsDAsLS2JiopSlikUCjZv3kybNm2wsrKie/fu/PjjjxnqjoqKwtLSkrCwsGz7Zvbs2TRt2pTExMQM9QwaNIguXbpk224hhBAiM2+vJvXkyRMUCgXNmzenXr16Kv8uX77Ms2fPgLRVI7Zv306dOnXw9vamS5cutGzZkrVr16rcXH1bbGysygDDdJmV5dTRo0eZNGkSZcuW5auvviIkJITQ0FB69uzJq1evcl2fjY0Nfn5+JCcn4+Hhgb29Pc7Ozhw4cCDXdcXGxgJQpkyZDNvebnNu22FqaprreIQoKLdv32bKlCk0b96c+vXr4+DgwIwZM0hKSlLu8/LlSxYsWICtrS22tra4u7vz8OHDbOuOjY1l4cKFtGrVivr169O2bVu8vb1V6oa0ByuLFy9mx44ddOrUCSsrK8LDw5Xb3p6x5/Lly/Tt2xcrKytatmzJqlWrsvx9cejQIVxdXbG2tqZRo0YMHz6ca9euqewTGRnJ5MmTadmyJfXr16d58+YMHjyY//3vfznqQyE+lJ6eHvr6+iplT548IS4ujvr162c4z8fExCjP848fPwagV69eGfY7dOiQcr+szJ07l5EjR3Ls2DEGDRpE06ZNGTduHH///Xe+tPV95fRcmn4+f3t/bW1tjIyM3nlsel9l9l5mZmakpqYSFxenLKtcuTJNmjTh1atXfP755zla+TOn11cf+rmKwuW3337Dx8dH5f+f3Nq/fz/btm37oDhyei8vL/n4+CgHUKRLSkpi/vz5tGzZkjp16tC1a9cCjSldZvcK87uPMuuPrDg6OmabfFaU3b59m759+9KnTx+8vLzw9PSkT58+9O3b950Dg0TuSD8XDpIwI4qj9HPitWvXcHd3p3Hjxnz22WdMmzZN5VmlEKJgPH36lHnz5tG6dWvq169Ps2bN6Nu3L7/88guQ9bVpTq6f3+f7furUKbp3706DBg3o2LEjoaGhGeJduHAhnTt3plGjRtjZ2TFo0CAuXLig3CcqKgo7OzsgbWb/9Of5b7bj77//ZurUqdjZ2VG/fn06depEUFCQynulpqaybt06nJycaNCgAU2aNOHzzz8nICDgne0Woqjy9PRkzZo1tGvXjvXr17Nr1y5CQ0OpXbv2O5/zxcXFkZKSku1EbLGxsVnem0vf/qa37/fp6OgA8N9//6nsn1Wdb9cnhCgerl69Sr9+/QgJCcHd3Z127dqpOySRR2QlDiGEEB/EwcGBMmXKsHv3buVNhXTh4eHUq1dPORv2/v37mTZtmnLQUlJSEv7+/ri5ubFt2zaaNGmS5fv8+++/NGrUiN69e/Ppp58SHR3N1q1b6d+/P/v376dEiRL07t2b58+fs337dnx9fZU/anKzAkdMTAy9e/dGU1OT8ePHU6lSJS5dusT69euJjo5m+fLl7zz+77//xt7ensGDB6Onp8edO3fYvHkzV65cITAwULnfTz/9xNixY6lWrRozZ86kfPnyREdHZztLuK+vL76+vvTq1QsnJycePHjAvHnzSE1NpWrVqlke966+MTQ0ZPfu3Rw4cIDevXsrj7l16xbnzp2TmeeFEELkmdKlS6OhoUFQUJDypuSb3iyztLTE29sbhULBjRs3CAsLw8/PD11dXUaNGpVp/UZGRsoBhG/KrExHRyfDoGxIGwxZunRp5et9+/ZhYWHB6tWr0dDQUJZ/yAOPdu3a0a5dO5KSkrh8+TIbN25k6tSpmJub06hRI+XKGG/H9/bgx/QbvU+ePMnwHo8fP1ZZjSO37XhzHyEKk+vXr9OvXz9Kly7NxIkTqVy5MjExMURERKh8Z+bOnYuDgwOrVq3i/v37fPXVV0yfPl3lmvxtr169YtCgQURGRjJhwgQsLS25cOECmzZt4n//+x+bNm1S2f/YsWNcuHCB8ePHY2JikmlCFaRdVw8ZMgRzc3M8PT3R1dUlODg40+StDRs2KGfKHzt2LK9fv2bLli0MGDCAXbt2KX/bjBw5ktTUVKZPn06FChV49uwZly5d+qDBtkLkRmbnidKlS2NkZIS/v3+mx3zyySfK/QDWrl1LhQoVcv3epUqVYuLEiUycOJHHjx9z6tQpVq1axZgxY/j++++BtPN8fHx8hmM/JJHgXdcOmcnpuTT9fB4TE6PyUDg5OTnbh7LpfRkTE5Nh26NHj9DU1MTAwEBZtmvXLk6ePEmDBg0ICgqic+fO2S65ntPrqw/9XEXhcunSJXx9fenevbvK/0O5ceDAAW7evMmQIUPyNjg12LFjByEhIcybN4969epRqlQpdYektGDBgnytv3fv3rRq1Spf36OomDVrFsOHD8+wUtX333+Ph4dHhoF84v1IPxcOTk5OHDlyRN1hCKEW7u7udOzYkb59+3Lr1i3WrFnD7du3+e677yhRooRyv8wmbkhNTS3IUIUo0qZPn861a9eYPHkyVapUIS4ujmvXruXp4Oacft+vX7+Ol5cXI0eOxMTEhF27djFnzhwqV66MjY0N8P8HZbu7u2NiYkJCQgI//PCDcpyEra0tZmZm+Pv7M2LECHr16qV8bp++AsCtW7fo27cv5cuXx8PDA1NTU37++WeWLFnCs2fPcHd3B8Df3x9fX1/Gjh1LkyZNSE5O5s6dO7x48SLP+kaIj8m+ffvo1q0bU6ZMUSl/9uzZO+95GBoaoqWlle3kUEZGRlnemwNUnjnmxJv3CjOrM7f1CSFyZsKECUyYMEHdYWTJ1taWGzduqDsMkQ8kiUMIIcQH0dbWxsXFhR07dvDixQs+/fRTIG1GrCtXrjBv3jwg7cbkihUrqFWrFps3b0ZTM20xqNatW9O+fXtWrlzJzp07s3yffv36Kf9boVDQqFEjmjZtSps2bTh16hRt27alXLlyyiUK69Spg4WFRa7b4+Pjw/Pnzzl48KBy0IGdnR26urp4eXkxfPjwdyaFjBs3TiXOxo0bU716dQYOHMj169eVCS2LFy+mfPny7Nq1SzlQE6Bnz55Z1h0XF8fmzZtp3769yoodNWrUoF+/fu9M4nhX39SuXZumTZsSFBSkksTx7bffoq+vT7du3bKsVwghhMgNBwcHNm3axMOHD+ncuXOOjtHQ0KB27drMnj2b8PBwrl69muW+tra2+Pv7q5xzgUwHSpubm2e40XH37l3u3r2rcgNUQ0ODEiVKqAzEjImJ4fjx4zmK/110dHRo2rQpBgYG/Pzzz1y7do1GjRopky9u3LhBtWrVlPtHRESoHN+wYUN0dHQ4dOgQHTp0UJZfvnyZ6OholSSO/GyHEAVp+fLlaGtrExoaqrKEuYuLi8p+rVq1Yu7cucrXz58/56uvviImJibL2fHDw8O5ceMGq1evplOnTgC0aNGCUqVKsXLlSk6fPk2LFi2U+yckJLB//34MDQ3fGbOfnx8KhYKAgADlzPUODg44Ozur7Hf//n18fHwYOHCgSuzNmzfHyckJX19fVq9ezbNnz7h79y6zZ89WmQn8zb8DQqiDg4MDBw8eJDU19Z2JAS1btkRbW5t///03wwDM3DIxMaFHjx5cv36dgIAAEhMT0dPTw9zcnCNHjpCUlKRMEk1Pdnp7BZGcsrCw4MmTJzx+/Fj5XU5KSuLnn3/+oDbY2toCaRNf1K9fX1l++PDhbFcErVq1KmXLluXAgQMMHz5ceZ5PSEjg6NGjWFtbo6enB6RdVyxZsoRu3brx5Zdf0rdvXyZPnkx4ePg7/47Z2toSERGh0u6UlBQOHTqksl9efq5CFDY3b95EV1eXgQMH5lmd6X+vPlRuJq95H+XKlaNcuXL5+h5FxfPnzzP9+9exY0e8vb3VEFHRJP1ccG7dupXltpcvXxZgJEIULu3bt2fGjBlA2jVwmTJlmDZtGocPH1bem7h58yb16tVTZ5hCFHm//fYbvXv3pk+fPsqyvJ6ROiffd0i737Bjxw7l2AIbGxvOnj3L/v37lUkc1apVY+HChcpjUlJSaNmyJdHR0Wzfvh1bW1t0dHSUfzvKlSuHtbW1SjzLly/nk08+YceOHcp7Gy1atCApKYlNmzbh5uaGoaEhv/32G7Vq1VIZiCqJ2aI4S38+9qaTJ0/y8OFDKleunOVxurq62NjY8P333zNp0iSV5xFvsrOz44cffuDhw4cqE7Ts3bsXPT29DN/l7DRq1AhdXV327dunfE4B8ODBA86ePSv33YQQooiRJA4hhBAfrGfPnmzdupVDhw7h6uoKwO7du9HR0VEOTLp79y6PHj1i8ODBygQOSJuJs0OHDoSEhLzz4eWTJ09Ys2YNP/74I48ePVKZreb27du0bds2T9py8uRJ5UwXbw6WsLe3x8vLi/Pnz7/z4WhkZCSrV6/m7NmzPHnyBIVCodx2584dateuzd27d/n333+ZMmWKSgJHdi5dusSrV6/4/PPPVcobN26sMkjzfQwaNAh3d3cuXrzIZ599Rnx8PHv37qVnz57K2VKFEEKID/XZZ5/h6urK7Nmz+fPPP7GxsUFPT4+YmBguXrxIrVq16N+/PydOnCA4OJh27dpRsWJFFAoFR48eJS4uTmUA9dsGDx7M7t27GTVqFJMmTaJMmTLs37+fO3fuZNi3a9euTJ8+nYULF+Lk5ER0dDT+/v4ZZrBxcHDg6NGjyv0ePHjAunXrMDMz4++//851H6xZs4YHDx5gZ2dHuXLliIuLIzAwkBIlStC0aVMArKysqFq1KitWrCAlJQUDAwOOHTvGxYsXVeoyMjJi6NChbNy4EQMDA9q3b8+DBw/w8/PD1NRUJWEjr9shhDokJiby66+/0qtXrywfmKRzdHRUeW1paQnAvXv3skziOHv2LKVKlaJjx44q5T169GDlypWcOXNG5W9Qs2bNsk3gADh37hx2dnbKwc8AWlpadO7cGV9fX2XZzz//THJyMl27dlX5LVKyZElsbGw4d+4ckPbdr1SpElu2bCE1NRVbW1tq166t8jtLCHXo0qUL+/fvZ9SoUbi5udGgQQNKlCjBgwcPOHfuHG3btqV9+/ZYWFgwceJEVq9eTWRkJPb29hgYGPD48WP++OMP9PT0mDhxYpbv07t3bxwcHLC0tMTQ0JDbt2+zd+9eGjVqpLyn0LVrV0JCQpg2bRp9+vQhNjYWf3//907gAOjUqRNr165l8uTJjBgxglevXrF9+3ZSUlLeu06A6tWr4+LiQkBAANra2jRv3pybN2+yZcuWbOPV1NRk+vTpTJs2jdGjR+Pq6kpSUhJbtmwhLi6OqVOnAmlJHZMmTcLCwoIFCxago6PDmjVr6N69O7NmzWLdunVZvsfYsWOJiIhg8ODBjB8/Hl1dXYKCgkhMTFTZ70M/V1F4+Pj4KM9Pb95vCwwMxNbWltTUVLZs2cLu3buJiori008/pVWrVkyZMkU52N/NzY3z588D//8cDCiTqH19ffnxxx/5559/SE5OpnLlyvTv359evXq914pwZ86cYd26dfz1118kJiZibGyMlZUVK1asQE9Pj3PnzjFo0CBlG9JFRUXRtm1bli9fTo8ePTKt+8340/97+fLlNG3aNMtjLS0tcXd3Vw6aSu/TsLAwNm7cyJkzZyhZsuQ7k8AuX76Mp6cnV69exdDQkO7du1OxYsUM+7m5uQGwfft2ZVlsbCyrV6/m+PHjPHv2jLJly+Ls7Mz48ePR0dHh1atXuLq68vLlS8LCwpST8sTExNCtWzeqVavGtm3b0NLSUsb+ZgL869ev8fb2Zu/evcTHx1O3bl1mzZqVaTtiYmLw8fHh5MmTPH36FDMzM3r06MGYMWPQ1i5ajyhLly7Nnj17cHFxUV6XpaamsnfvXpkpNQ9JPxccZ2dnzM3NVZ5xpMvLWc6F+Ni8/YyuU6dOzJw5k3PnzikHdVeqVImvv/46w7Hx8fFFYpUyIQqDBg0aEB4ejpGREc2bN6devXoZBml/qJx83yFtAsU3V6QsWbIkVapU4d69eyrH79ixg++++45bt26prPT55kROWXn16hVnz56lX79+6OrqZhjH8O2333L58mVat26NlZUVJ0+eZOHChbRt25ZGjRp90P0QIT52Dg4OhIeHU61aNSwtLbl69SpbtmzJ0YQFs2bNol+/fvTp04dRo0ZRqVIlnjx5QkREBIsWLUJfX5/x48dz4sQJBg0axPjx4zE0NGT//v2cPHmS6dOnK39z55SBgQHjxo3j66+/ZsaMGXTp0oXY2Fj8/PwoWbKkctUdIYQQRUPRukMqCr1Dhw7h5+dHZGQkr169Ys+ePRw7dizDQ4CCkNWDm/z29gOcrISFhTFr1iyOHz+unDH/7QcyiYmJ+Pv707Rp0wJtgxBvq1mzJlZWVoSFheHq6kpKSgr79u2jbdu2yqX+nj17BpDpgCkzMzNSU1OJi4vLNIkjNTWVYcOG8ejRI8aNG0etWrXQ09NDoVDQp08fXr16lWdtefLkCSdOnMhyhpz0dmTm5cuX9O/fn5IlSzJp0iSqVKmCrq4uDx48wN3dnf/++w+Ap0+fAqhk4edE+oORNwd/pcusLDfatm2Lubk5wcHBfPbZZ4SFhZGYmEj//v0/qF4h8ltm5/Mff/yRK1eu5Hqpw5yeowtaZgMmsuLo6EjTpk3x9PQsgMiEeD+LFy+mYcOGhISEsGPHDlJTUzEzM6Nx48Y0aNAAgMqVK2NgYIC/vz+PHj2iRIkSVK1aFU9PT7p3755l3aampnz77bcsXbqUhQsXoqenR7t27Zg3b57KalmQ9gDm0aNH7Ny5k7CwMGrWrMnChQvx8/NT2a9nz548efKEnTt3snv3bipWrMioUaN48OCByuDrnGrYsCF//vknK1eu5OnTpxgYGFC/fn22bdtGzZo1gbTB3Rs2bODLL79UDrTs0qUL8+fPZ9SoUSr1TZ48GT09PWU70mf08vb2VlkGOq/bIYQ6xMXFkZKSkqPr6PTfIenSZ+JPvybPTGxsLCYmJhkGj5YpUwZtbe0MA5WySgbJqt63vV32+PFjAHr16pVpPemD1DQ0NNi2bRt+fn74+/vj6emJkZERn3/+OZMmTZKHskJttLS0WL9+PYGBgezdu5dNmzahpaVFuXLlsLGxoVatWsp9R48eTfXq1QkMDOTgwYMkJSVhampK/fr1VVbizEyzZs2IiIhQrrxRtmxZunXrxpgxY5T7fPbZZ3h5ebFp0ybGjRtHxYoVGT9+PKdOnVIOLM+tihUr4ufnh7e3NxMnTsTU1JShQ4fy9OnTDz6XLl26FBMTE8LDw9m+fTt16tTBx8eHKVOmZHvs559/jp6eHps2bWLy5MloaWnRsGFDAgMDady4MQALFizg/v37hIaGUqpUKWV7lixZwhdffMG2bduyHExWq1Yttm7dipeXFx4eHhgaGuLi4oKTk5Ny9dV0H/K5isKjd+/ePH/+nO3bt+Pr66s836VParJw4UJCQkIYOHAgDg4OREdHs2bNGs6fP09YWBjGxsYsWLCAefPmERkZmen3Izo6GldXV+VAp8uXL7NkyRIePnyY68EIUVFRjB49miZNmrB06VIMDAx4+PAhP/30E69fv/7g1S5CQkJYt24d586dIyAgAEgbmJmQkJDruiZMmEDnzp3p27fvO4+/desWQ4YMwdzcHE9PT3R1dQkODs50hcG3vXr1ikGDBhEZGcmECROwtLTkwoULbNq0if/9739s2rSJkiVLsnr1anr06MHs2bPx8fEhNTWVadOmoVAoWLVqFVpaWlm+x7x589izZw/Dhg2jRYsW3Lx5E3d39wwz88fExNC7d280NTUZP348lSpV4tKlS6xfv57o6GiWL1+e8877CHh5eTF//nyWLVuGmZkZGhoaPHjwgDp16hS5tqqT9HPBqVChAsHBwZn+/mrdurUaIhKicHj7XoC2tjZGRkYq9wxKliyJlZVVhmPTnw8KIT6ct7c369evJzQ0lDVr1lCqVCnat2/P9OnTc3zPLjs5+b5DxvuQgDJ5Ot3WrVvx9PSkb9++fPHFF5QuXRpNTU3WrFmT6SRUb4uNjSU5OZnt27erJHC/KX0cw+jRoylVqhT79u1j586daGlp0aRJE6ZNm5bp3yYhiro5c+agra3Npk2bSEhIoG7duvj4+LBmzZpsj61duzahoaGsXbuWVatW8fLlS0xNTWnWrJnymUO1atXYuXMnX3/9NYsXL+a///6jevXq75wwIjujR4/G2NiY7du3c+jQIXR1dWnatClTpkyhSpUq71WnEEKIwkmSOESBefr0KTNmzKBly5bKgUhVqlShd+/exWrpvpCQkPdefnzBggUqrxMTE/H19cXd3V2SOITa9ejRg0WLFnH79m0iIyOJiYlR+UGSPgtWTExMhmMfPXqEpqamykDDN/31119cv349w8DNf/75J49bkRanpaUlkyZNynS7mZlZlseePXuWR48esX37duVM2gAvXrxQ2S991uCHDx/mKrb0G0Dpg7ve9Pjx4w9ajUNTU5MBAwbg7e2Nh4cHwcHB2NnZ5WjmDyHUqV69eoSEhKiskPPjjz8SFBSU62SMDzlH56fidq0kioYJEya88zvYs2dPevbsmeX2atWqsWrVqmzfJyIiIkNZ9erV+eabbzKUv50IpaGhwYgRIxgxYoRKebNmzTIcO2rUqAzJE0CGNmYWz9scHBxwcHDIdr8qVaqwZcuWDOWZtWPs2LGMHTtWWRYZGcnt27dVllmGnLejoBPshcgpQ0NDtLS0cn0dnVNGRkb8/vvvKBQKlUSOJ0+ekJycnGFm35zOFG5kZJTlNfyb0utfu3atyux9mTE3N2fZsmVA2qqHhw8fxtfXl6SkJBYvXpyjuITIjq2tbabnBE9PzyyThrW1tRk2bBjDhg3Ltv527drRrl27XMc1depU5QoT79KtWze6deumUta5c+cM+73dRgsLiyzPha1bt8500OKHnkt1dHTw8PDAw8NDpfzta4usPpPs+vKrr77KtLxjx44Z6sus/saNGxMSEpKhvE+fPrmORRR+5cqVo3z58kDajLLpEwxB2mq4ISEh9O/fXyWJp27duvTu3ZuAgAAmT55MjRo1MDAwQEdHB2tr6wzv8eZA69TUVJo2bYpCoSAwMJDx48fnajWOq1ev8urVK2bMmEHt2rWV5W/Pmvu+rK2tMTY2RlNTU6Ut75PE0a1btxytSOPn54dCoSAgIECZ9Ong4KBc8fhdwsPDuXHjBqtXr1b+HmjRogWlSpVi5cqVnD59mhYtWlClShWWLFnC5MmTCQgI4Pnz55w/fx5/f/933v+8ffs24eHhDBkyhBkzZijrL1OmDNOmTVPZ18fHh+fPn3Pw4EHltY2dnR26urp4eXkxfPjwd654/LGpXLkyAQEBPH36lPv37wNQvnz5bFeQE7kj/VxwHB0diYyMzDSJI69WRhfiYxQTE6PyvUhOTiY2NjbTQdxCiPxjbGzMnDlzmDNnDvfu3SMiIoJVq1bx5MkTtmzZgo6OjspqF+mePXuW49W78vL7vm/fPpo2bcqiRYtUyt9OhM6KgYEBWlpadO3aNctJGNN/u2lrazN06FCGDh1KXFwcv/zyC97e3owYMYKTJ09+cKK7EB8bAwMDli5dmqH87YSorO4JVq9ePduEj1q1arFhw4Z37pPVfb2s3rd379707t37nXVm9zxWCCFE4aep7gBE8XH37l1ev36Ni4sLTZs2xdraGj09PcqVK5fpg5yiytra+r0HiNaoUaNIPdQQRYuzszMlS5YkLCyMsLAwypYtS8uWLZXbq1atStmyZTlw4IDK8tsJCQkcPXpU+TchM+kPbtMz2dPt3Lkzw77p+7zv6hwODg789ddfVKpUCSsrqwz/3jXrb07jrFq1KpUqVWL37t2Z3jzKirW1NSVLlmT//v0q5b/99hvR0dHZHp9d3/Tu3ZsSJUowbdo07t69y4ABA3IcmxDqoq+vj7W19XvPOK1QKJQzcn/IOTo/FbdrJSFE7ly/fp2VK1dy/Phxzp07x86dOxk6dCj6+vpZzuYvxMdKV1cXGxsbvv/++3yZvdLOzo6EhASOHTumUr5nzx7l9vdha2vLmTNnVJI2UlJSOHTokMp+LVu2RFtbm3///TfT3yJZzZRXtWpV5YqF165de68YhRBCiJw4d+4cQIbV8Ro0aED16tU5c+ZMjuo5c+YMQ4YM4bPPPqNOnTrUq1ePtWvXEhsby5MnT3IVU506dShRogTz5s0jPDycyMjIXB1fkDp06JCj/c6dO4ednZ3Kql1aWlqZJqK97ezZs5QqVYqOHTuqlKdPtvPmZ9S5c2f69evHV199xfr16xk9ejQtWrTINjbImCTTqVMntLVV5407efIktra2mJmZkZycrPxnb28P8N4rIxV2xsbG1KtXj3r16kliQT6Sfs5/c+fOpUmTJplumz9/fgFHI0Th8fYzusOHD5OcnKwyuZsQomBVqFCBgQMH0rx5c+W9MXNz8wyDou/evcvdu3dzXG9eft81NDQyjCG4fv06ly9fVinLajVhPT09bG1tuXbtGpaWlpneN8wsOcXAwICOHTvSv39/YmNjczSmQAghhBBCFBxZiUMUiJkzZxIeHg7A5MmTmTx5Mk2bNmX79u34+Pjg6+ur/AF14cIFBg8ezKBBg1RmnwsLC2PWrFksWbJEmWn6999/4+Pjwy+//MKLFy+oWLEiAwcOzDDw+Pbt2yxbtowLFy6gq6uLk5NTjma/hbSZ/jds2MDFixd5+PAhBgYG1KtXj8mTJ2Npaamyb1xcHOvWreOHH37g4cOHfPrpp9SvX5+ZM2dSvXp1ACwtLXF3d1fJhL18+TKenp5cvXoVQ0NDunfvTsWKFTPE4ubmBqRlA0dFRSlnuvH19VUuS9+9e3d69erFgAEDWLVqVYbZufbs2YOHhwe7du2iQYMGOeoDIXLCwMCA9u3bEx4eTlxcHMOHD0dT8//nCmpqajJ9+nSmTZvG6NGjcXV1JSkpiS1bthAXF/fOWTSrVatGpUqVWLVqFQqFAkNDQ06cOMHp06cz7FurVi0AAgIC6N69O9ra2lStWjXHA7wnTpzIL7/8Qt++fXFzc6Nq1aokJSURFRXFqVOnWLRoUZaDvBs1aoShoSELFizA3d0dbW1t9u/fn2nW/Pz58xk7dix9+vRhyJAhlC9fnvv37/PTTz9lOfO4oaEhw4YNY/369cyZM4eOHTvy4MEDfHx8crQsbHZ9Y2BgQNeuXdmxYwfm5uY4OjrmqM+EyE+3b9/Gz8+Ps2fPEhcXh4mJCU2bNmXJkiXo6Ohw7tw5Bg0aRGBgILa2tirXHG+ep48fP46FhQWWlpYMGDCAmjVrEhgYSGRkJHPmzKFfv36ZnqMfPnyIr68vp06d4smTJxgZGdG4cWPmz5+vMpjibUFBQRw6dIg7d+6QmJhIxYoVcXFxYciQIZQoUUJl31OnTrFlyxb+/PNPkpOTqVChAt26dWP06NEAGa6VAF6/fo23tzd79+4lPj6eunXrMmvWrDzpcyHEx0VPT48///yT0NBQXrx4gb6+Pra2tkyaNOmdf6eE+FjNmjWLfv360adPH0aNGkWlSpV48uQJERERGWayy61u3boRFBSEh4cH0dHR1KpVi4sXL7Jx40Zat25N8+bN36vesWPHEhERweDBgxk/fjy6uroEBQWRmJiosp+FhQUTJ05k9erVREZGYm9vj4GBAY8fP+aPP/5AT0+PiRMncv36db788ks6duxI5cqVKVGiBGfPnuXGjRuZrrYjhBBC5JXY2Fgg85VqzczMuHfvXrZ1XLlyheHDh9O0aVO+/PJLypUrR4kSJTh27BgbNmzIMFgpO5UqVWLbtm34+/uzePFiEhISqFixIm5ubgwePDhXdeW3d61w8abY2NhMr+Vzcn2ffuzbq5mUKVMGbW1t5WeYrmfPnuzYsYMSJUowaNCgHNUPZLgXqa2tnWFG4idPnnDixAnq1auXaV3Pnj3L9v2EEEKIwuaHH35AS0uLFi1acPPmTdasWUPt2rUzrIgrhMg/L168YNCgQTg7O1OtWjU++eQT/vjjD3766Sfat28PQNeuXZk+fToLFy7EycmJ6Oho/P39c7wKB+Tt993BwYF169axdu1abGxsuHv3LuvWrcPCwoKUlBTlfvr6+pibm3P8+HHs7OwwNDSkdOnSWFhYMGfOHPr378+AAQPo168f5ubmvHz5kn///ZeIiAgCAwMBGDNmDDVr1qR+/foYGxsTHR1NQEAA5ubmVK5cOdexCyGEEEKI/CNJHKJAjBs3DisrKxYvXsyUKVOwtbXNckB1kyZN+OKLL1i1ahVNmjShbdu23Lx5k8WLF+Pi4qJM4Lh16xZ9+/alfPnyeHh4YGpqys8//8ySJUt49uwZ7u7uADx+/Bg3Nze0tbVZsGABZcqUYf/+/Xz55Zc5iv3Ro0cYGRkxdepUjI2Nef78OeHh4fTp04fw8HCqVasGQHx8PP379yc6OpoRI0bQsGFDEhIS+PXXX4mJiVEmcbzt1q1bDBkyBHNzczw9PdHV1SU4OJgDBw68My4zMzP8/f0ZMWIEvXr1UvaLsbExlSpVom7dugQFBWVI4vj222+xsrKSBA6RL3r06KH8f/ftGfkgbYY2PT09Nm3axOTJk9HS0qJhw4YEBgbSuHHjLOstUaIEGzZsYOnSpcyfPx9tbW3s7OzYtm1bhoQsW1tbRo8eTXh4OLt27SI1NVU5uDsnzMzMCA0NZd26dWzZsoWHDx/yySefYG5uTqtWrTAwMMjy2NKlS7Nx40a8vLyYPn06enp6tG3bFm9v7wz90apVK7799lv8/PxYsmQJr169oly5ctkmTnzxxReUKlWK4OBg9u7dS7Vq1Vi0aBHffPNNtm3LSd907tyZHTt20LdvX5UkHCHU4fr16/Tr14/SpUszceJEKleuTExMDBERESQlJWWYsQbSrjkSEhI4cuQIISEhyvI3B0ocO3aMCxcuMH78eExMTChTpkym7//w4UN69uxJcnIyY8aMwdLSkmfPnvHzzz/z/Pnzdw6e+Pfff3F2dsbCwoISJUpw/fp1NmzYwJ07d1i+fLlyv127djFv3jxsbGxYtGgRZcqU4e7du9y8efOdfTNv3jz27NnDsGHDlDeP3d3dc7zsshCi6KhcuTLbtm1TdxhCFJjatWsTGhrK2rVrWbVqFS9fvsTU1JRmzZplem2QGyVLliQwMBBvb2/8/f159uwZZcuWZdiwYcp7DO+jVq1abN26FS8vLzw8PDA0NMTFxQUnJyfmzZunsu/o0aOpXr06gYGBHDx4kKSkJExNTalfvz79+vUD0gZNVqpUieDgYB48eABAxYoV8fDwUE7+IIQQQuSH9EH6jx49yjDJyaNHj3I0IOrgwYNoa2uzceNGSpYsqSx/eyWs3GjSpAlNmjQhJSWFP//8k+3bt7Ns2TJMTEzo0qWL8n3eXhH3Q5II8qPOdEZGRioreKXLrCyzY3///XcUCoVKIseTJ09ITk5W+YwSEhKYMWMGVapU4cmTJ8yZM4f169dnWz9ATEyMyorFycnJGRJESpcujaWlJZMmTcq0rpwmtQghhBCFiY+PDz4+PuzYsQMNDQ0cHR2ZPXv2B9+TEELkXMmSJWnQoAF79+4lOjqa5ORkypcvz8iRIxkxYgSQNi7h0aNH7Ny5k7CwMGrWrMnChQvx8/PL8fvk5fd9zJgxJCYmEhoair+/PzVq1GDhwoUcO3Yswwp1S5cuZcWKFYwdO5akpCS6d++Op6cnNWrUICwsjHXr1rF69WqePn3Kp59+SuXKlWndurXyeFtbW44cOcKuXbuIj4/H1NSU5s2bM27cuAwTzQkhhBBCCPWSJA5RICpVqkSNGjWAtEFG1tbW79x/5MiRXLhwgZkzZxIcHMykSZMoX768yqyay5cv55NPPmHHjh3KhJAWLVqQlJTEpk2bcHNzw9DQkG3btvH06VP27NlD7dq1AWjdujXDhg3L0cxgNjY22NjYKF+npKTQunVrnJ2dCQkJUc56HRAQwM2bN9m6davK7JzZLZHu5+eHQqEgICBAORjUwcEhQ/LF23R0dJQzWJUrVy5Dn7q5uTFr1iz+97//UadOHSBtlrM//vgDLy+vbNstxPto0aJFpqtOvKldu3a0a9funfv06NGDHj16qJRVr14900SFzN5vypQpTJkyJUP59u3bc3S8sbExc+fOZe7cue+MMzONGjVi586dOXofa2trNm/enGVdmfWDhoYGo0aNyjDDbps2bVReW1hY5Kpv0kVERKCrq6tMDBNCnZYvX462tjahoaEYGxsry11cXLI8plKlSsrzaVbXGwkJCezfvx9DQ8N3vv+aNWuIjY1l7969KsmYnTt3zjb2N1fFSE1NpUmTJhgZGTF79mxmzpyJoaEhL1++xNPTk8aNGxMYGKgcXGFnZ/fOum/fvk14eDhDhgxhxowZQNrf3zJlyjBt2rRsYxNCCCE+dtWrV2fNmjWZbsvsGhrSHl6+fX2c2e8DIyMjFi1alO2qHu/63ZPZtsaNG6skmKbr06dPhrLsfjOVKVNGJSlUCCGEyGvpg5JevXqlUt6sWTMA9u3bpzJJ0JUrV7h9+zZjxoxRqSOzVTU0NDTQ0tJSmTzkv//+Y9++fR8cd/qEMdWqVWP//v1cvXqVLl26YG5uDqSdo1u1aqXcPyIi4r3fy8TEhJIlS2Y47x8/fvy960xna2tLREQEjx8/Vt7jSElJ4dChQ9kea2dnx+HDhzl27JhyFmJIW6E7fXu6BQsWcP/+fXbt2sWdO3eYOHEi27ZtY8iQIe+MDWD//v3Ur19fWX748GGSk5NV9nVwcODHH3+kUqVK2d6DEUIIIT4W5cuXZ8OGDVluz+xeQzpjY+Nsn6MKIbKno6OT7b07DQ0NRowYoUzqSJf+myZdVs/UIfvvO2T9m+LtvwU6Ojp4eHjg4eGhUp7ZPUA7OzvCw8MzrdfCwoJly5a9M6ahQ4cydOjQd+4jhBBCCCEKB0niEIWShoYGXl5edO/enZ49e6KhocF3331HqVKlgLSHR2fPnqVfv37o6uqqPBywt7fn22+/5fLly7Ru3Zpz585Rs2ZNZQJHOmdnZ06fPp1tLMnJyfj7+7Nv3z7+/fdfXr9+rdx2+/Zt5X//9NNPVKlSRSWBIyfOnTuHnZ2dymzeWlpadO7cGV9f31zV9SZnZ2dWrlxJUFAQS5YsAdJW4TA2Ns7R4FMhRPFy+fJl/v77b4KDg3F1dc3VUrJC5IfExER+/fVXevXqpZLAkReaNWuWo8EDp06dwtbWNsvVtN7l2rVrrF27lkuXLmWYifLvv/+mYcOGXLp0SbmS15uzY2bn3LlzQNosQm/q1KkTM2fOzHWsQgghhBBCCCHEm2rVqgWkTVzUvXt3tLW1qVq1KtWqVcPV1ZVvv/0WTU1N7O3tiY6OZs2aNZQvX15l8H+tWrU4evQowcHB1K9fHw0NDaysrGjdujVbt25l6tSpuLq6Ehsby5YtW9579uodO3Zw9uxZHBwcKF++PK9evWL37t0Aynv16TPPbtq0CUNDQypUqMCZM2f44Ycf3ruPNDQ0cHFxYffu3VSqVInatWtz5cqVbFfYzomxY8cSERHB4MGDGT9+PLq6ugQFBZGYmJjtsd26dSMoKAgPDw+io6OpVasWFy9eZOPGjbRu3VrZJ7t27WLfvn0sX76cmjVrUrNmTQYOHMjKlStp3Lhxlit5V69eHRcXFwICAtDW1qZ58+bcvHmTLVu2ZFh9feLEifzyyy/07dsXNzc3qlatSlJSElFRUZw6dYpFixZlWNFFCCGEEEIIIYQQQgghigtJ4hCFVunSpXF0dCQoKIj27dtjaWmp3BYbG0tycjLbt2/PcjaL9GXLY2NjsbCwyLD9zaSJd/H09CQoKIiRI0diY2ODoaEhGhoazJ07V2UmsqdPn1K+fPncNFEZX2ax5DS+rOjo6ODq6srWrVuZMWMGycnJHD58mKFDh8pyrkKIDFxdXdHT08PBwYFJkyapOxwhiIuLIyUlhbJly+Z53aampjna79mzZ+/1/vfu3WPAgAFUrVqV2bNnY25uTsmSJbly5QqLFy9WzkT69OlTgFwPWEhPCnm7Hdra2hgZGeU6XiGEEEIIIYQQ4k22traMHj2a8PBwdu3aRWpqKoGBgdja2rJw4UIqVqxIaGgowcHB6Ovr06pVK6ZOnaoyKcigQYO4efMm3t7evHjxAoVCwY0bN7Czs2PZsmVs3ryZMWPGULZsWfr06YOxsTFz5szJdax16tTh9OnT+Pj4EBMTQ6lSpahVqxbr16+nZcuWyv1WrFjBl19+ycqVK0lJSaFNmzasWrWKnj17vnc/pU+k4O/vT0JCAra2tmzYsAFHR8f3rhPSEmC2bt2Kl5cXHh4eGBoa4uLigpOTE/PmzXvnsSVLliQwMBBvb2/8/f2V9zaGDRuGu7s7kLYiyZIlS+jevbvKCmYeHh5cunSJSZMmsWfPHgwMDDJ9j6VLl2JiYkJ4eDjbt2+nTp06+Pj4ZFj918zMjNDQUNatW8eWLVt4+PAhn3zyCebm5rRq1SrL+oXIbz4+Pvj6+qp1NvywsDBmzZrF8ePHlc8w9+/fz5MnT965Go4QQgghhBBCCCGEKDokiUMUWqdPn2bHjh00aNCAH374gSNHjuDk5ASAgYEBWlpadO3alf79+2d6fPpNTyMjIx4/fpxhe2Zlmdm3bx/dunXL8ADi2bNnKg8ZjI2NefDgQY7qfNOHxvcu/fr1Y/PmzezevZtXr16RkpJC3759P7heIUTRI8s3i8LG0NAQLS0tHj58mOd153TVi9KlS7/X+x87doyEhAR8fHwwNzdXll+/fl1lv/QVRnJ7/ZCeqBETE6OSZJKcnJxh1Q8hhBBCCCGEEOJ9TJkyJcM9cQBNTU1GjhzJyJEj33m8oaEha9euzXRbz549M02e6NWrl8rrrCZwepO1tXWOVrQ2NTXNNJ6374lNmDCBCRMmqJR5enri6emZ4Vh9fX3lKti5rTM7jRs3JiQkJEN5nz59VF5n1kdGRkYsWrSIRYsWZVq3paUlv//+e4ZyHR0dwsLCVMoyi11HRwcPDw88PDxUyiMiIjLUaWxszNy5c5k7d26msQhRXDk4OBASEoKZmZmy7MCBA9y8eVOSOIQopN7nfC6E+DjJ910IIYQQQhQUTXUHIERmHj16xPTp07GxsWHnzp04OjoyZ84cIiMjAdDT08PW1pZr165haWmJlZVVhn/ps37Z2tpy8+bNDAMnc7qsuYaGBiVKlFApO3nyZIZBna1ateLvv//mzJkzuWqrra0tZ86cUUnaSElJ4dChQ9kem76iRvqM3m8zMzPDycmJ4OBgdu7cSZs2bahQoUKu4hNCCCHUQVdXFxsbG77//nvlihU5ld35Mafs7e05d+4cd+7cydVx6Ukib658pVAo+O6771T2a9SoEZ9++ik7d+5EoVDkuH5bW1sgbXa+Nx0+fJjk5ORcxSqEEEIIIYQQQgghhChYxsbGWFtbq9w/FEIIIYQQQgghhBDFiyRxiEInJSWFqVOnoqGhwapVq9DS0sLT05NPP/2UyZMnk5SUBMCcOXO4f/8+AwYMICwsjHPnzhEREcG2bdsYNGiQsr7BgwdTunRpRo0aRVhYGD/++CPTpk3L8YBMBwcHwsPD2bZtG2fOnMHf359Zs2ZRrlw5lf0GDx5MzZo1GTduHOvXr+f06dMcP34cT09Pzp49m2X9Y8eOVR5/6NAhIiIiGDVqFImJidnGpq+vj7m5OcePH+fnn3/mjz/+ICoqKkNc//77L/fv32fgwIE5arMQQghRGMyaNYvXr1/Tp08fvvvuO86ePcvBgweZOnUq8fHxWR5Xq1YtADZv3szvv//OH3/8obx+yI0vvvgCIyMjBg4cSEBAAGfOnOHo0aPMmzeP27dvZ3lc8+bNKVGiBFOmTOHHH3/khx9+YPjw4cTFxans98knn+Dh4cGvv/7KkCFDOHjwIGfPnuW7775j8eLFWdZfvXp1XFxcCAgI4KuvvuL06dNs27aNFStWoK+vn+t2CiGEEEIIIYQQQghRFJ08eZKuXbtSv359HB0d2bJlS4Z9FAoFQUFBdO3alQYNGmBjY8PEiROVE8ulc3Nzw9nZmStXrtC/f38aNmxI27Zt2bRpE6mpqcr9UlNTWbduHU5OTjRo0IAmTZrw+eefExAQoNwnLCwMS0tL5TM9Nzc3Tp48SXR0NJaWlsp/CoWCDh06MHz48Axxv3z5ks8++yzLVXeEEEIIIYQQQgghROGmre4AhHjb2rVruXDhAt988w2mpqZA2tLrX3/9NQMHDuSrr75izpw51KhRg7CwMNatW8fq1at5+vQpn376KZUrV6Z169bK+kxNTfn2229ZunQpCxcuRE9Pj3bt2jFv3jzGjRuXbTxz5sxBW1ubTZs2kZCQQN26dfHx8WHNmjUq++nr6xMcHIyPjw/fffcdfn5+GBgYYGVllWGJ8zfVqlWLrVu34uXlhYeHB4aGhri4uODk5MS8efOyjW/p0qWsWLGCsWPHkpSURPfu3VWWdm/QoAHm5ubo6upiZ2eXbX1CCCFEYVG7dm1CQ0NZu3Ytq1at4uXLl5iamtKsWbN3zlLn7OzMb7/9RnBwMH5+figUCo4fP46FhUWu3r9s2bLK99+8eTOxsbGULl2azz77DCMjoyyPq169Oj4+PqxevZoJEyZgZGSEs7MzQ4YMYeTIkSr79u7dGzMzM/z9/Zk7dy4KhQJzc3O6dev2ztiWLl2KiYkJ4eHhbN++nTp16uDj48OUKVNy1UYhhBBCCCGEEEIIIYqiM2fOMG7cOKytrfH29iYlJQV/f3+ePHmist/8+fMJDw/Hzc2NadOm8fz5c/z8/Ojbty979+7FxMREuW9MTAzTp09n6NChuLu788MPP7Bq1SrMzMyU9/P8/f3x9fVl7NixNGnShOTkZO7cucOLFy+yjHXBggXMmzePyMhIfH19leUaGhoMHDiQZcuW8ffff1OlShXltj179hAfH8+AAQPypsOEEEIIIYQQQgghRIHSUCgUCnUHIYTIP9evX6dr167Mnz9fbuQKIYQQQgghhBBCCCGEEEKIIq9Pnz7cv3+fY8eOUbJkSQDi4+Np27YtsbGx3Lhxg8uXL+Pq6srMmTMZOnSo8tgHDx7g5OTEwIEDmT59OpC2Wsb58+fZtWsXDRo0UO7bpUsXypUrp1zlY8yYMTx48IA9e/ZkGVtYWBizZs1SmXhm9OjR3Lx5k4iICJV94+Pjsbe3p2fPnsyZM0flfcuUKUNgYOCHdZQQQgghhBBCCCGEUAtNdQcghMgf//77L2fOnGH+/PmYmprSo0cPdYckhBBCCCGEEEIIIYQQQgghRL5KSEjgjz/+oEOHDsoEDgB9fX3atGmjfH3ixAk0NDRwcXEhOTlZ+c/ExITatWtz/vx5lXpNTU1VEjgALC0tuXfvnvK1lZUV169fZ+HChfz000/Ex8d/UFv09fXp0aMH4eHhJCQkAGmrjNy6dYuBAwd+UN1CCCGEEEIIIYQQQn201R2AECJ/rFu3jr1791K9enXWrFmDnp6eukMSQgghhBBCCCGEEEIIIYQQIl/FxcWRmpqKiYlJhm1vlj158gSFQkHz5s0zradixYoqr42MjDLso6Ojw6tXr5SvR48eTalSpdi3bx87d+5ES0uLJk2aMG3aNKysrN6rPW5ubgQFBbF//35cXV0JCgqiXLlytG3b9r3qE0IIIYQQQgghhBDqJ0kcQhRRnp6eeHp6qjsMIYQQQgghhBBCCCGEEEIIIQqMgYEBGhoaPH78OMO2N8tKly6NhoYGQUFB6OjoZNg3s7LsaGtrM3ToUIYOHUpcXBy//PIL3t7ejBgxgpMnT77XpGuVK1fG3t6eoKAg7O3tiYiIYMKECWhpaeW6LiGEEEIIIYQQQghROGiqOwAhhBBCCCGEEEIIIYQQQgghhBAiL5QqVYoGDRpw9OhRlVUy4uPjOXHihPK1g4MDCoWChw8fYmVlleGfpaXlB8VhYGBAx44d6d+/P7GxsURHR2e5r46ODv/991+W2wcNGsSNGzfw8PBAU1OTPn36fFBsQgghhBBCCCGEEEK9ZCUOIYQQQgghhBBCCCGEEEIIIYQQRcYXX3zBiBEjGDp0KMOGDSMlJYXNmzejp6dHbGwsAJ999hmurq7Mnj2bP//8ExsbG/T09IiJieHixYvUqlWL/v375+p9x4wZQ82aNalfvz7GxsZER0cTEBCAubk5lStXzvK4WrVqcfToUYKDg6lfvz4aGhpYWVkpt7do0YIaNWpw7tw5XFxcKFOmzHv1ixBCCCGEEEIIIYQoHCSJQwghhBBCCCGEEEIIIYQQQgghRJHRokUL/Pz8WL16NZMmTcLU1JR+/frx6tUrfH19lfstXryYhg0bEhISwo4dO0hNTcXMzIzGjRvToEGDXL+vra0tR44cYdeuXcTHx2Nqakrz5s0ZN24cJUqUyPK4QYMGcfPmTby9vXnx4gUKhYIbN26o7NOpUyd8fHwYOHBgruMSQgghhBBCCCGEEIWLhkKhUKg7CCGEEEIIIYQQQgghhBBCCCGEEEJkrkePHmhoaLB79251hyKEEEIIIYQQQgghPpCsxCGEEEIIIYQQQgghhBBCCCGEEEIUMvHx8fz111+cPHmSq1ev4ufnp+6QhBBCCCGEEEIIIUQekCQOIYQQQgghhBBCCCGEEEIIIYQQopC5evUqgwYNwsjICHd3d9q1a6fukIQQQgghhBBCCCFEHtBQKBQKdQchhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQghR1GmqOwAhhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQojiQJI4hBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghCoAkcQghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQhQASeIQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQoAJLEIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIUQAkiUMIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEKIASBKHEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCFEAZAkDiGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCiALw/wC+IX6haduuNQAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#TODO: Draw a scatter-plot of features\n", + "pd.plotting.scatter_matrix(data, alpha = 0.3, figsize = (40,40), diagonal = 'kde');" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#TODO: Draw a heatmap between features\n", + "correlation = data.corr()\n", + "# display(correlation)\n", + "plt.figure(figsize=(14, 12))\n", + "heatmap = sns.heatmap(correlation, annot=True, linewidths=0, vmin=-1, cmap=\"RdBu_r\")" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:1689: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Visualize the co-relation between pH and fixed Acidity\n", + "\n", + "#Create a new dataframe containing only pH and fixed acidity columns to visualize their co-relations\n", + "fixedAcidity_pH = data[['pH', 'fixed acidity']]\n", + "\n", + "#Initialize a joint-grid with the dataframe, using seaborn library\n", + "gridA = sns.JointGrid(x=\"fixed acidity\", y=\"pH\", data=fixedAcidity_pH, height=6)\n", + "\n", + "#Draws a regression plot in the grid \n", + "gridA = gridA.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "\n", + "#Draws a distribution plot in the same grid\n", + "gridA = gridA.plot_marginals(sns.distplot)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:1667: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:1689: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#TODO: Visualize a plot between Citric Acid levels and Fixed Acidity\n", + "fixedAcidity_citricAcid = data[['citric acid', 'fixed acidity']]\n", + "g = sns.JointGrid(x=\"fixed acidity\", y=\"citric acid\", data=fixedAcidity_citricAcid, size=6)\n", + "g = g.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "g = g.plot_marginals(sns.distplot)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:1667: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:1689: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualize density vs fixed acidity\n", + "fixedAcidity_density = data[['density', 'fixed acidity']]\n", + "gridB = sns.JointGrid(x=\"fixed acidity\", y=\"density\", data=fixedAcidity_density, size=6)\n", + "gridB = gridB.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "gridB = gridB.plot_marginals(sns.distplot)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:1667: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:1689: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Visualize quality vs volatile acidity\n", + "volatileAcidity_quality = data[['quality', 'volatile acidity']]\n", + "g = sns.JointGrid(x=\"volatile acidity\", y=\"quality\", data=volatileAcidity_quality, size=6)\n", + "g = g.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "g = g.plot_marginals(sns.distplot)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#We can visualize relationships of discreet values (quality vs volatile acidity) better with a bar plot\n", + "\n", + "fig, axs = plt.subplots(ncols=1,figsize=(10,6))\n", + "sns.barplot(x='quality', y='volatile acidity', data=volatileAcidity_quality, ax=axs)\n", + "plt.title('quality VS volatile acidity')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "plt.gcf().clear()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:1667: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:1689: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "quality_alcohol = data[['alcohol', 'quality']]\n", + "\n", + "g = sns.JointGrid(x=\"alcohol\", y=\"quality\", data=quality_alcohol, size=6)\n", + "g = g.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "g = g.plot_marginals(sns.distplot)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#TODO: Visualize quality vs alcohol with a bar plot\n", + "fig, axs = plt.subplots(ncols=1,figsize=(10,6))\n", + "sns.barplot(x='quality', y='alcohol', data=quality_alcohol, ax=axs)\n", + "plt.title('quality VS alcohol')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "plt.gcf().clear()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:1667: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n", + "/opt/conda/lib/python3.10/site-packages/seaborn/distributions.py:1689: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# TODO (OPTIONAL): Select any two features of your choice and view their relationship\n", + "sulphates_chlorides = data[['sulphates', 'chlorides']]\n", + "\n", + "g = sns.JointGrid(x=\"sulphates\", y=\"chlorides\", data=sulphates_chlorides, size=6)\n", + "g = g.plot_joint(sns.regplot, scatter_kws={\"s\": 10})\n", + "g = g.plot_marginals(sns.distplot)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Outlier Detection:\n", + "\n", + "Detecting outliers in the data is extremely important in the data preprocessing step of any analysis. The presence of outliers can often skew results which take into consideration these data points. There are many \"rules of thumb\" for what constitutes an outlier in a dataset. Here, we will use [Tukey's Method for identfying outliers](http://datapigtechnologies.com/blog/index.php/highlighting-outliers-in-your-data-with-the-tukey-method/): An **outlier step** is calculated as **1.5** times the **interquartile range (IQR)**. A data point with a feature that is beyond an outlier step outside of the IQR for that feature is considered abnormal.\n", + "\n", + "In the code block below:\n", + "\n", + "* Assign the value of the 25th percentile for the given feature to Q1. Use np.percentile for this.\n", + "* Assign the value of the 75th percentile for the given feature to Q3. Again, use np.percentile.\n", + "* Assign the calculation of an outlier step for the given feature to step.\n", + "* Optionally remove data points from the dataset by adding indices to the outliers list.\n", + "\n", + "**NOTE:** If you choose to remove any outliers, ensure that the sample data does not contain any of these points!\n", + "Once you have performed this implementation, the dataset will be stored in the variable good_data." + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "49\n", + "1599\n", + "1550\n", + "19\n", + "1599\n", + "1580\n", + "1\n", + "1599\n", + "1598\n", + "155\n", + "1599\n", + "1444\n", + "112\n", + "1599\n", + "1487\n", + "30\n", + "1599\n", + "1569\n", + "55\n", + "1599\n", + "1544\n", + "45\n", + "1599\n", + "1554\n", + "35\n", + "1599\n", + "1564\n", + "59\n", + "1599\n", + "1540\n", + "13\n", + "1599\n", + "1586\n", + "28\n", + "1599\n", + "1571\n" + ] + } + ], + "source": [ + "#TODO: Find outliers for each feature\n", + "\n", + "# For each feature find the data points with extreme high or low values\n", + "for feature in data.keys():\n", + " Q1 = np.percentile(data[feature], q=25)\n", + " Q3 = np.percentile(data[feature], q=75)\n", + " \n", + " iqr = Q3 - Q1\n", + " step = 1.5 * iqr\n", + " \n", + " #print(\"Data points considered outliers for the feature '{}':\".format(feature))\n", + " #display(data[~((data[feature] >= Q1 - step) & (data[feature] <= Q3 + step))])\n", + " \n", + " outliers = data[~((data[feature] >= Q1 - step) & (data[feature] <= Q3 + step))].index.values\n", + " \n", + " good_data = data.drop(data.index[outliers]).reset_index(drop = True)\n", + " \n", + " print(outliers.shape[0])\n", + " print(data.shape[0])\n", + " print(good_data.shape[0])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Part 2: Using Machine Learning to Predict the Quality of Wines" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Data Preparation: \n", + "\n", + "### First, we'll apply some transforms to convert our regression problem into a classification problem. Then, we'll use our data to create feature-set and target labels:" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholqualityquality_cat
07.40.700.001.90.07611.034.00.99783.510.569.450
17.80.880.002.60.09825.067.00.99683.200.689.850
27.80.760.042.30.09215.054.00.99703.260.659.850
311.20.280.561.90.07517.060.00.99803.160.589.861
47.40.700.001.90.07611.034.00.99783.510.569.450
\n", + "
" + ], + "text/plain": [ + " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n", + "0 7.4 0.70 0.00 1.9 0.076 \n", + "1 7.8 0.88 0.00 2.6 0.098 \n", + "2 7.8 0.76 0.04 2.3 0.092 \n", + "3 11.2 0.28 0.56 1.9 0.075 \n", + "4 7.4 0.70 0.00 1.9 0.076 \n", + "\n", + " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n", + "0 11.0 34.0 0.9978 3.51 0.56 \n", + "1 25.0 67.0 0.9968 3.20 0.68 \n", + "2 15.0 54.0 0.9970 3.26 0.65 \n", + "3 17.0 60.0 0.9980 3.16 0.58 \n", + "4 11.0 34.0 0.9978 3.51 0.56 \n", + "\n", + " alcohol quality quality_cat \n", + "0 9.4 5 0 \n", + "1 9.8 5 0 \n", + "2 9.8 5 0 \n", + "3 9.8 6 1 \n", + "4 9.4 5 0 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#TODO: Convert the regression problem into a classification problem\n", + "\"\"\"\n", + "For our purposes, all wines with ratings less than 5 will fall under 0 (poor) category,\n", + "wines with ratings 5 and 6 will be classified with the value 1 (average), \n", + "and wines with 7 and above will be of great quality (2).\n", + "\"\"\"\n", + "\n", + "\n", + "quality_cat = pd.cut(data2.quality,bins=[0,5,6,100],labels=[0,1,2])\n", + "\n", + "data.insert(12, \"quality_cat\", quality_cat)\n", + "\n", + "display(data.head(n=5))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Next, shuffle and split our data-set into training and testing subsets:" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# TODO: Import train_test_split from sklearn\n", + "from sklearn.linear_model import LinearRegression\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "# TODO: Split the 'features' and 'income' data into training and testing sets\n", + "x = data.iloc[:, :-1]\n", + "y = data.iloc[:, -1]\n", + "\n", + "# TODO: Show the results of the split\n", + "X_train, X_test, y_train, y_test = train_test_split(\n", + " X, y, test_size=0.05, random_state=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## [scikit-learn](http://scikit-learn.org/) is a handy data science and machine learning library that lets you use ML algorithms in easy to use APIs." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Supervised Learning Models\n", + "**The following are some of the supervised learning models that are currently available in** [`scikit-learn`](http://scikit-learn.org/stable/supervised_learning.html) **that you may choose from:**\n", + "- Gaussian Naive Bayes (GaussianNB)\n", + "- Decision Trees\n", + "- Ensemble Methods (Bagging, AdaBoost, Random Forest, Gradient Boosting)\n", + "- K-Nearest Neighbors (KNeighbors)\n", + "- Stochastic Gradient Descent Classifier (SGDC)\n", + "- Support Vector Machines (SVM)\n", + "- Logistic Regression" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Implementation - Creating a Training and Predicting Pipeline\n", + "To properly evaluate the performance of each model you've chosen, it's important that you create a training and predicting pipeline that allows you to quickly and effectively train models using various sizes of training data and perform predictions on the testing data. Your implementation here will be used in the following section.\n", + "In the code block below, you will need to implement the following:\n", + " - Import `fbeta_score` and `accuracy_score` from [`sklearn.metrics`](http://scikit-learn.org/stable/modules/classes.html#sklearn-metrics-metrics).\n", + " - Fit the learner to the sampled training data and record the training time.\n", + " - Perform predictions on the test data `X_test`, and also on the first 300 training points `X_train[:300]`.\n", + " - Record the total prediction time.\n", + " - Calculate the accuracy score for both the training subset and testing set.\n", + " - Calculate the F-score for both the training subset and testing set.\n", + " - Make sure that you set the `beta` parameter!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Next, we will write a function that will accept a ML algorithm of our choice, and use our data to train it" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# Import two classification metrics from sklearn - fbeta_score and accuracy_score\n", + "from sklearn.metrics import fbeta_score\n", + "from sklearn.metrics import accuracy_score\n", + "\n", + "def train_predict_evaluate(learner, sample_size, X_train, y_train, X_test, y_test): \n", + " '''\n", + " inputs:\n", + " - learner: the learning algorithm to be trained and predicted on\n", + " - sample_size: the size of samples (number) to be drawn from training set\n", + " - X_train: features training set\n", + " - y_train: quality training set\n", + " - X_test: features testing set\n", + " - y_test: quality testing set\n", + " '''\n", + " \n", + " results = {}\n", + " \n", + " \"\"\"\n", + " Fit/train the learner to the training data using slicing with 'sample_size' \n", + " using .fit(training_features[:], training_labels[:])\n", + " \"\"\"\n", + " start = time() # Get start time of training\n", + " learner = learner.fit(X_train[:sample_size], y_train[:sample_size]) #Train the model\n", + " end = time() # Get end time of training\n", + " \n", + " # Calculate the training time\n", + " results['train_time'] = end - start\n", + " \n", + " \"\"\"\n", + " Get the predictions on the first 300 training samples(X_train), \n", + " and also predictions on the test set(X_test) using .predict()\n", + " \"\"\"\n", + " start = time() # Get start time\n", + " predictions_train = learner.predict(X_train[:300])\n", + " predictions_test = learner.predict(X_test)\n", + " \n", + " end = time() # Get end time\n", + " \n", + " # Calculate the total prediction time\n", + " results['pred_time'] = end - start\n", + " \n", + " # Compute accuracy on the first 300 training samples which is y_train[:300]\n", + " results['acc_train'] = accuracy_score(y_train[:300], predictions_train)\n", + " \n", + " # Compute accuracy on test set using accuracy_score()\n", + " results['acc_test'] = accuracy_score(y_test, predictions_test)\n", + " \n", + " # Compute F1-score on the the first 300 training samples using fbeta_score()\n", + " results['f_train'] = fbeta_score(y_train[:300], predictions_train, beta=0.5, average='micro')\n", + " \n", + " # Compute F1-score on the test set which is y_test\n", + " results['f_test'] = fbeta_score(y_test, predictions_test, beta=0.5, average='micro')\n", + " \n", + " # Success\n", + " print(\"{} trained on {} samples.\".format(learner.__class__.__name__, sample_size))\n", + " \n", + " # Return the results\n", + " return results" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Implementation: Initial Model Evaluation\n", + "In the code cell, you will need to implement the following:\n", + "- Import the three supervised learning models you've discussed in the previous section.\n", + "- Initialize the three models and store them in `'clf_A'`, `'clf_B'`, and `'clf_C'`.\n", + " - Use a `'random_state'` for each model you use, if provided.\n", + " - **Note:** Use the default settings for each model — you will tune one specific model in a later section.\n", + "- Calculate the number of records equal to 1%, 10%, and 100% of the training data.\n", + " - Store those values in `'samples_1'`, `'samples_10'`, and `'samples_100'` respectively.\n", + "\n", + "**Note:** Depending on which algorithms you chose, the following implementation may take some time to run!\n", + "\n", + "Further reading: https://stackoverflow.com/questions/31421413/how-to-compute-precision-recall-accuracy-and-f1-score-for-the-multiclass-case" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from sklearn.naive_bayes import GaussianNB\n", + "from sklearn import tree\n", + "from sklearn.neighbors import KNeighborsClassifier" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GaussianNB trained on 1519 samples.\n", + "{'train_time': 0.01581406593322754, 'pred_time': 0.011101007461547852, 'acc_train': 1.0, 'acc_test': 0.9875, 'f_train': 1.0, 'f_test': 0.9875}\n", + "GaussianNB trained on 151 samples.\n", + "{'train_time': 0.007778644561767578, 'pred_time': 0.0055751800537109375, 'acc_train': 0.9833333333333333, 'acc_test': 0.9875, 'f_train': 0.9833333333333333, 'f_test': 0.9875}\n", + "GaussianNB trained on 15 samples.\n", + "{'train_time': 0.0025148391723632812, 'pred_time': 0.002897977828979492, 'acc_train': 0.89, 'acc_test': 0.9, 'f_train': 0.89, 'f_test': 0.8999999999999999}\n", + "DecisionTreeClassifier trained on 1519 samples.\n", + "{'train_time': 0.0038602352142333984, 'pred_time': 0.0027875900268554688, 'acc_train': 1.0, 'acc_test': 1.0, 'f_train': 1.0, 'f_test': 1.0}\n", + "DecisionTreeClassifier trained on 151 samples.\n", + "{'train_time': 0.0023953914642333984, 'pred_time': 0.00811767578125, 'acc_train': 1.0, 'acc_test': 1.0, 'f_train': 1.0, 'f_test': 1.0}\n", + "DecisionTreeClassifier trained on 15 samples.\n", + "{'train_time': 0.002344369888305664, 'pred_time': 0.0031290054321289062, 'acc_train': 0.86, 'acc_test': 0.8125, 'f_train': 0.86, 'f_test': 0.8125}\n", + "KNeighborsClassifier trained on 1519 samples.\n", + "{'train_time': 0.004030466079711914, 'pred_time': 0.01562976837158203, 'acc_train': 0.8633333333333333, 'acc_test': 0.6625, 'f_train': 0.8633333333333333, 'f_test': 0.6625}\n", + "KNeighborsClassifier trained on 151 samples.\n", + "{'train_time': 0.0020360946655273438, 'pred_time': 0.015407800674438477, 'acc_train': 0.6633333333333333, 'acc_test': 0.65, 'f_train': 0.6633333333333333, 'f_test': 0.6500000000000001}\n", + "KNeighborsClassifier trained on 15 samples.\n", + "{'train_time': 0.0021543502807617188, 'pred_time': 0.027750730514526367, 'acc_train': 0.49, 'acc_test': 0.45, 'f_train': 0.49, 'f_test': 0.44999999999999996}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n", + " mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n", + "/opt/conda/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n", + " mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n", + "/opt/conda/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n", + " mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n", + "/opt/conda/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n", + " mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n", + "/opt/conda/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n", + " mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n", + "/opt/conda/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n", + " mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n" + ] + } + ], + "source": [ + "# TODO: Import any three supervised learning classification models from sklearn\n", + "\n", + "# TODO: Initialize the three models\n", + "clf_A = GaussianNB()\n", + "clf_B = tree.DecisionTreeClassifier()\n", + "clf_C = KNeighborsClassifier(n_neighbors=3)\n", + "\n", + "# TODO: Calculate the number of samples for 1%, 10%, and 100% of the training data\n", + "# HINT: samples_100 is the entire training set i.e. len(y_train)\n", + "samples_100 = len(y_train)\n", + "# HINT: samples_10 is 10% of samples_100\n", + "samples_10 = int(samples_100 * .1)\n", + "# HINT: samples_1 is 1% of samples_100\n", + "samples_1 = int(samples_100 * .01)\n", + "\n", + "\n", + "# TODO: Collect results on the learners\n", + "print(train_predict_evaluate(clf_A, samples_100, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_A, samples_10, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_A, samples_1, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_B, samples_100, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_B, samples_10, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_B, samples_1, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_C, samples_100, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_C, samples_10, X_train, y_train, X_test, y_test))\n", + "print(train_predict_evaluate(clf_C, samples_1, X_train, y_train, X_test, y_test))\n", + "\n", + "# TODO: Run metrics visualization for the three supervised learning models chosen using function in visuals.py\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Question: Why does Gaussian Naive Bayes perform poorly compared to the other methods?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Answer:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "----\n", + "## Feature Importance\n", + "\n", + "An important task when performing supervised learning on a dataset like the census data we study here is determining which features provide the most predictive power. By focusing on the relationship between only a few crucial features and the target label we simplify our understanding of the phenomenon, which is most always a useful thing to do. In the case of this project, that means we wish to identify a small number of features that most strongly predict the quality of wines.\n", + "\n", + "Choose a scikit-learn classifier (e.g., adaboost, random forests) that has a `feature_importance_` attribute, which is a function that ranks the importance of features according to the chosen classifier. In the next python cell fit this classifier to training set and use this attribute to determine the top 5 most important features for the wines dataset." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Implementation - Extracting Feature Importance\n", + "Choose a `scikit-learn` supervised learning algorithm that has a `feature_importance_` attribute availble for it. This attribute is a function that ranks the importance of each feature when making predictions based on the chosen algorithm.\n", + "\n", + "In the code cell below, you will need to implement the following:\n", + " - Import a supervised learning model from sklearn if it is different from the three used earlier.\n", + " - Train the supervised model on the entire training set.\n", + " - Extract the feature importances using `'.feature_importances_'`." + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [], + "source": [ + "# TODO: Import a supervised learning model that has 'feature_importances_'\n", + "\n", + "# TODO: Train the supervised model on the training set using .fit(X_train, y_train)\n", + "\n", + "# TODO: Extract the feature importances using .feature_importances_ \n", + "\n", + "# TODO: Plot importances" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Hyperparameter tuning using GridSearchCV:" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Unoptimized model\n", + "------\n", + "Accuracy score on testing data: 0.8906\n", + "F-score on testing data: 0.8906\n", + "\n", + "Optimized Model\n", + "------\n", + "RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n", + " max_depth=None, max_features=3, max_leaf_nodes=None,\n", + " min_impurity_decrease=0.0, min_impurity_split=None,\n", + " min_samples_leaf=1, min_samples_split=2,\n", + " min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=1,\n", + " oob_score=False, random_state=None, verbose=0,\n", + " warm_start=False)\n", + "\n", + "Final accuracy score on the testing data: 0.8969\n", + "Final F-score on the testing data: 0.8969\n" + ] + } + ], + "source": [ + "# TODO: Import 'GridSearchCV', 'make_scorer', and any other necessary libraries\n", + "from sklearn.model_selection import GridSearchCV\n", + "from sklearn.metrics import make_scorer\n", + "\n", + "# TODO: Initialize the classifier\n", + "clf = RandomForestClassifier(max_depth=None, random_state=None)\n", + "\n", + "# Create the parameters or base_estimators list you wish to tune, using a dictionary if needed.\n", + "# Example: parameters = {'parameter_1': [value1, value2], 'parameter_2': [value1, value2]}\n", + "\n", + "\"\"\"\n", + "n_estimators: Number of trees in the forest\n", + "max_features: The number of features to consider when looking for the best split\n", + "max_depth: The maximum depth of the tree\n", + "\"\"\"\n", + "parameters = {'n_estimators': [10, 20, 30], 'max_features':[3,4,5, None], 'max_depth': [5,6,7, None]}\n", + "\n", + "# TODO: Make an fbeta_score scoring object using make_scorer()\n", + "scorer = make_scorer(fbeta_score, beta=0.5, average=\"micro\")\n", + "\n", + "# TODO: Perform grid search on the claszsifier using 'scorer' as the scoring method using GridSearchCV()\n", + "grid_obj = GridSearchCV(clf, parameters, scoring=scorer)\n", + "\n", + "# TODO: Fit the grid search object to the training data and find the optimal parameters using fit()\n", + "grid_fit = grid_obj.fit(X_train, y_train)\n", + "\n", + "# Get the estimator\n", + "best_clf = grid_fit.best_estimator_\n", + "\n", + "# Make predictions using the unoptimized and model\n", + "predictions = (clf.fit(X_train, y_train)).predict(X_test)\n", + "best_predictions = best_clf.predict(X_test)\n", + "\n", + "# Report the before-and-afterscores\n", + "print(\"Unoptimized model\\n------\")\n", + "print(\"Accuracy score on testing data: {:.4f}\".format(accuracy_score(y_test, predictions)))\n", + "print(\"F-score on testing data: {:.4f}\".format(fbeta_score(y_test, predictions, beta = 0.5, average=\"micro\")))\n", + "print(\"\\nOptimized Model\\n------\")\n", + "print(best_clf)\n", + "print(\"\\nFinal accuracy score on the testing data: {:.4f}\".format(accuracy_score(y_test, best_predictions)))\n", + "print(\"Final F-score on the testing data: {:.4f}\".format(fbeta_score(y_test, best_predictions, beta = 0.5, average=\"micro\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Finally, you can test out your model by giving it a bunch of inputs:" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Predicted quality for Wine 1 is: 1\n", + "Predicted quality for Wine 2 is: 2\n", + "Predicted quality for Wine 3 is: 1\n" + ] + } + ], + "source": [ + "\"\"\"Give inputs in this order: fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free sulfur dioxide,\n", + "total sulfur dioxide, density, pH, sulphates, alcohol\n", + "\n", + "\"\"\"\n", + "wine_data = [[8, 0.2, 0.16, 1.8, 0.065, 3, 16, 0.9962, 3.42, 0.92, 9.5],\n", + " [8, 0, 0.16, 1.8, 0.065, 3, 16, 0.9962, 3.42, 0.92, 1 ],\n", + " [7.4, 2, 0.00, 1.9, 0.076, 11.0, 34.0, 0.9978, 3.51, 0.56, 0.6]]\n", + " \n", + "# Show predictions\n", + "for i, quality in enumerate(best_clf.predict(wine_data)):\n", + " print(\"Predicted quality for Wine {} is: {}\".format(i+1, quality))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Question: What conclusions can you draw based on the above observations? Would you say that the model is more good at predicting average quality wines? Why?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# TODOS:\n", + "1. Try solving this exercise again as a regression problem. Some of the common algorithms you can try from sklearn are *DecisionTreeRegressor*, *RandomForestRegressor*, and using *AdaBoostRegressor* with *DecisionTreeRegressor*. Some of the performance metrics that you might need to use in place of Accuracy and f1score are Mean Squared Error and R2Score\n", + "\n", + "2. Try using the White Wines data-set in place of the Red Wines\n" + ] + } + ], + "metadata": { + "availableInstances": [ + { + "_defaultOrder": 0, + "_isFastLaunch": true, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 4, + "name": "ml.t3.medium", + "vcpuNum": 2 + }, + { + "_defaultOrder": 1, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.t3.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 2, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.t3.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 3, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.t3.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 4, + "_isFastLaunch": true, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.m5.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 5, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.m5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 6, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.m5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 7, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.m5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 8, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.m5.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 9, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.m5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 10, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.m5.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 11, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.m5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 12, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.m5d.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 13, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.m5d.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 14, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.m5d.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 15, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.m5d.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 16, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.m5d.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 17, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.m5d.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 18, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.m5d.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 19, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.m5d.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 20, + "_isFastLaunch": false, + "category": "General purpose", + "gpuNum": 0, + "hideHardwareSpecs": true, + "memoryGiB": 0, + "name": "ml.geospatial.interactive", + "supportedImageNames": [ + "sagemaker-geospatial-v1-0" + ], + "vcpuNum": 0 + }, + { + "_defaultOrder": 21, + "_isFastLaunch": true, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 4, + "name": "ml.c5.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 22, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 8, + "name": "ml.c5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 23, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.c5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 24, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.c5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 25, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 72, + "name": "ml.c5.9xlarge", + "vcpuNum": 36 + }, + { + "_defaultOrder": 26, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 96, + "name": "ml.c5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 27, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 144, + "name": "ml.c5.18xlarge", + "vcpuNum": 72 + }, + { + "_defaultOrder": 28, + "_isFastLaunch": false, + "category": "Compute optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.c5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 29, + "_isFastLaunch": true, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.g4dn.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 30, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.g4dn.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 31, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.g4dn.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 32, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.g4dn.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 33, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.g4dn.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 34, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.g4dn.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 35, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 61, + "name": "ml.p3.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 36, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 244, + "name": "ml.p3.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 37, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 488, + "name": "ml.p3.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 38, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 768, + "name": "ml.p3dn.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 39, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.r5.large", + "vcpuNum": 2 + }, + { + "_defaultOrder": 40, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.r5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 41, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.r5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 42, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.r5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 43, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.r5.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 44, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.r5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 45, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 512, + "name": "ml.r5.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 46, + "_isFastLaunch": false, + "category": "Memory Optimized", + "gpuNum": 0, + "hideHardwareSpecs": false, + "memoryGiB": 768, + "name": "ml.r5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 47, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 16, + "name": "ml.g5.xlarge", + "vcpuNum": 4 + }, + { + "_defaultOrder": 48, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 32, + "name": "ml.g5.2xlarge", + "vcpuNum": 8 + }, + { + "_defaultOrder": 49, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 64, + "name": "ml.g5.4xlarge", + "vcpuNum": 16 + }, + { + "_defaultOrder": 50, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 128, + "name": "ml.g5.8xlarge", + "vcpuNum": 32 + }, + { + "_defaultOrder": 51, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 1, + "hideHardwareSpecs": false, + "memoryGiB": 256, + "name": "ml.g5.16xlarge", + "vcpuNum": 64 + }, + { + "_defaultOrder": 52, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 192, + "name": "ml.g5.12xlarge", + "vcpuNum": 48 + }, + { + "_defaultOrder": 53, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 4, + "hideHardwareSpecs": false, + "memoryGiB": 384, + "name": "ml.g5.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 54, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 768, + "name": "ml.g5.48xlarge", + "vcpuNum": 192 + }, + { + "_defaultOrder": 55, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 1152, + "name": "ml.p4d.24xlarge", + "vcpuNum": 96 + }, + { + "_defaultOrder": 56, + "_isFastLaunch": false, + "category": "Accelerated computing", + "gpuNum": 8, + "hideHardwareSpecs": false, + "memoryGiB": 1152, + "name": "ml.p4de.24xlarge", + "vcpuNum": 96 + } + ], + "instance_type": "ml.t3.medium", + "kernelspec": { + "display_name": "Python 3 (Data Science 3.0)", + "language": "python", + "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east-2:429704687514:image/sagemaker-data-science-310-v1" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/sagemaker-exercises/requirements.txt b/sagemaker-exercises/requirements.txt new file mode 100644 index 0000000..b2ee79d --- /dev/null +++ b/sagemaker-exercises/requirements.txt @@ -0,0 +1,6 @@ +seaborn==0.8 +matplotlib==2.1.0 +numpy==1.13.3 +pandas==0.20.3 +ipython==6.2.1 +scikit_learn==0.19.1 diff --git a/finding_donors/visuals.py b/sagemaker-exercises/visuals.py similarity index 59% rename from finding_donors/visuals.py rename to sagemaker-exercises/visuals.py index 5f189eb..4a46368 100644 --- a/finding_donors/visuals.py +++ b/sagemaker-exercises/visuals.py @@ -9,63 +9,66 @@ get_ipython().run_line_magic('matplotlib', 'inline') ########################################### import matplotlib -import matplotlib.pyplot as pl +import matplotlib.pyplot as plt import matplotlib.patches as mpatches +import matplotlib.cm as cm +import seaborn as sns import numpy as np import pandas as pd from time import time from sklearn.metrics import f1_score, accuracy_score -def distribution(data, transformed = False): +def distribution(data, feature_label, transformed = False): """ Visualization code for displaying skewed distributions of features """ + sns.set() + sns.set_style("whitegrid") # Create figure - fig = pl.figure(figsize = (11,5)); + fig = plt.figure(figsize = (11,5)); # Skewed feature plotting - for i, feature in enumerate(['capital-gain','capital-loss']): + for i, feature in enumerate([feature_label]): ax = fig.add_subplot(1, 2, i+1) ax.hist(data[feature], bins = 25, color = '#00A0A0') ax.set_title("'%s' Feature Distribution"%(feature), fontsize = 14) - ax.set_xlabel("Value") - ax.set_ylabel("Number of Records") - ax.set_ylim((0, 2000)) - ax.set_yticks([0, 500, 1000, 1500, 2000]) - ax.set_yticklabels([0, 500, 1000, 1500, ">2000"]) + ax.set_xlabel(feature_label) + ax.set_ylabel("Total Number") + ax.set_ylim((0, 1500)) + ax.set_yticks([0, 200, 400, 600, 800]) + ax.set_yticklabels([0, 200, 400, 600, 800, ">1000"]) # Plot aesthetics if transformed: - fig.suptitle("Log-transformed Distributions of Continuous Census Data Features", \ + fig.suptitle("Log-transformed Distributions", \ fontsize = 16, y = 1.03) else: - fig.suptitle("Skewed Distributions of Continuous Census Data Features", \ + fig.suptitle("Skewed Distributions", \ fontsize = 16, y = 1.03) fig.tight_layout() fig.show() -def evaluate(results, accuracy, f1): +def visualize_classification_performance(results): """ Visualization code to display results of various learners. inputs: - - learners: a list of supervised learners - - stats: a list of dictionaries of the statistic results from 'train_predict()' - - accuracy: The score for the naive predictor - - f1: The score for the naive predictor + - results: a list of dictionaries of the statistic results from 'train_predict_evaluate()' """ # Create figure - fig, ax = pl.subplots(2, 3, figsize = (11,7)) + sns.set() + sns.set_style("whitegrid") + fig, ax = plt.subplots(2, 3, figsize = (11,7)) # print("VERSION:") # print(matplotlib.__version__) # Constants bar_width = 0.3 - colors = ['#A00000','#00A0A0','#00A000'] + colors = ["#e55547", "#4e6e8e", "#2ecc71"] # Super loop to plot four panels of data for k, learner in enumerate(results.keys()): @@ -96,10 +99,10 @@ def evaluate(results, accuracy, f1): ax[1, 2].set_title("F-score on Testing Set") # Add horizontal lines for naive predictors - ax[0, 1].axhline(y = accuracy, xmin = -0.1, xmax = 3.0, linewidth = 1, color = 'k', linestyle = 'dashed') - ax[1, 1].axhline(y = accuracy, xmin = -0.1, xmax = 3.0, linewidth = 1, color = 'k', linestyle = 'dashed') - ax[0, 2].axhline(y = f1, xmin = -0.1, xmax = 3.0, linewidth = 1, color = 'k', linestyle = 'dashed') - ax[1, 2].axhline(y = f1, xmin = -0.1, xmax = 3.0, linewidth = 1, color = 'k', linestyle = 'dashed') + ax[0, 1].axhline(y = 1, xmin = -0.1, xmax = 3.0, linewidth = 1, color = 'k', linestyle = 'dashed') + ax[1, 1].axhline(y = 1, xmin = -0.1, xmax = 3.0, linewidth = 1, color = 'k', linestyle = 'dashed') + ax[0, 2].axhline(y = 1, xmin = -0.1, xmax = 3.0, linewidth = 1, color = 'k', linestyle = 'dashed') + ax[1, 2].axhline(y = 1, xmin = -0.1, xmax = 3.0, linewidth = 1, color = 'k', linestyle = 'dashed') # Set y-limits for score panels ax[0, 1].set_ylim((0, 1)) @@ -111,34 +114,38 @@ def evaluate(results, accuracy, f1): patches = [] for i, learner in enumerate(results.keys()): patches.append(mpatches.Patch(color = colors[i], label = learner)) - pl.legend(handles = patches, bbox_to_anchor = (-.80, 2.53), \ + plt.legend(handles = patches, bbox_to_anchor = (-.80, 2.53), \ loc = 'upper center', borderaxespad = 0., ncol = 3, fontsize = 'x-large') # Aesthetics - pl.suptitle("Performance Metrics for Three Supervised Learning Models", fontsize = 16, y = 1.10) - pl.tight_layout(pad=1, w_pad=2, h_pad=5.0) - pl.show() + plt.suptitle("Performance Metrics for Three Supervised Learning Models", fontsize = 16, y = 1.10) + plt.tight_layout(pad=1, w_pad=2, h_pad=5.0) + plt.show() def feature_plot(importances, X_train, y_train): # Display the five most important features indices = np.argsort(importances)[::-1] - columns = X_train.columns.values[indices[:5]] - values = importances[indices][:5] + columns = X_train.columns.values[indices[:11]] + values = importances[indices][:11] + + sns.set() + sns.set_style("whitegrid") # Creat the plot - fig = pl.figure(figsize = (9,5)) - pl.title("Normalized Weights for First Five Most Predictive Features", fontsize = 16) - pl.bar(np.arange(5), values, width = 0.6, align="center", color = '#00A000', \ - label = "Feature Weight") - pl.bar(np.arange(5) - 0.3, np.cumsum(values), width = 0.2, align = "center", color = '#00A0A0', \ - label = "Cumulative Feature Weight") - pl.xticks(np.arange(5), columns) - pl.xlim((-0.5, 4.5)) - pl.ylabel("Weight", fontsize = 12) - pl.xlabel("Feature", fontsize = 12) + fig = plt.figure(figsize = (12,5)) + plt.title("Normalized Weights for First Five Most Predictive Features", fontsize = 16) + plt.bar(np.arange(11), values, width = 0.2, align="center", label = "Feature Weight") + # plt.bar(np.arange(11) - 0.3, np.cumsum(values), width = 0.2, align = "center", color = '#00A0A0', \ + # label = "Cumulative Feature Weight") + plt.xticks(np.arange(11), columns) + plt.xlim((-0.5, 4.5)) + plt.ylabel("Weight", fontsize = 12) + plt.xlabel("Feature", fontsize = 12) - pl.legend(loc = 'upper center') - pl.tight_layout() - pl.show() + plt.legend(loc = 'upper center') + plt.tight_layout() + plt.show() + + diff --git a/student_intervention/.ipynb_checkpoints/student_intervention-checkpoint.ipynb b/student_intervention/.ipynb_checkpoints/student_intervention-checkpoint.ipynb deleted file mode 100755 index 66dec66..0000000 --- a/student_intervention/.ipynb_checkpoints/student_intervention-checkpoint.ipynb +++ /dev/null @@ -1,1402 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Machine Learning Engineer Nanodegree\n", - "## Supervised Learning\n", - "## Project: Building a Student Intervention System" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Welcome to the second project of the Machine Learning Engineer Nanodegree! In this notebook, some template code has already been provided for you, and it will be your job to implement the additional functionality necessary to successfully complete this project. Sections that begin with **'Implementation'** in the header indicate that the following block of code will require additional functionality which you must provide. Instructions will be provided for each section and the specifics of the implementation are marked in the code block with a `'TODO'` statement. Please be sure to read the instructions carefully!\n", - "\n", - "In addition to implementing code, there will be questions that you must answer which relate to the project and your implementation. Each section where you will answer a question is preceded by a **'Question X'** header. Carefully read each question and provide thorough answers in the following text boxes that begin with **'Answer:'**. Your project submission will be evaluated based on your answers to each of the questions and the implementation you provide. \n", - "\n", - ">**Note:** Code and Markdown cells can be executed using the **Shift + Enter** keyboard shortcut. In addition, Markdown cells can be edited by typically double-clicking the cell to enter edit mode." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 1 - Classification vs. Regression\n", - "*Your goal for this project is to identify students who might need early intervention before they fail to graduate. Which type of supervised learning problem is this, classification or regression? Why?*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: **\n", - "\n", - "Given that in this problem we aren't trying to predict continuous values, this is clearly not regression. This problem comes under classification. The problem statement gives a big clue as to why - we need to identify whether a student needs early intervention or not. So there are clearly two labels, wither of which could apply to a student - (a)whether a student needs early intervention, OR (b) A student doesn't need early intervention.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Exploring the Data\n", - "Run the code cell below to load necessary Python libraries and load the student data. Note that the last column from this dataset, `'passed'`, will be our target label (whether the student graduated or didn't graduate). All other columns are features about each student." - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Student data read successfully!\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
schoolsexageaddressfamsizePstatusMeduFeduMjobFjobreasonguardiantraveltimestudytimefailuresschoolsupfamsuppaidactivitiesnurseryhigherinternetromanticfamrelfreetimegooutDalcWalchealthabsencespassed
0GPF18UGT3A44at_hometeachercoursemother220yesnononoyesyesnono4341136no
1GPF17UGT3T11at_homeothercoursefather120noyesnononoyesyesno5331134no
2GPF15ULE3T11at_homeotherothermother123yesnoyesnoyesyesyesno43223310yes
3GPF15UGT3T42healthserviceshomemother130noyesyesyesyesyesyesyes3221152yes
4GPF16UGT3T33otherotherhomefather120noyesyesnoyesyesnono4321254yes
\n", - "
" - ], - "text/plain": [ - " school sex age address famsize Pstatus Medu Fedu Mjob Fjob reason guardian traveltime studytime failures schoolsup famsup paid activities nursery higher internet romantic famrel freetime goout Dalc Walc health absences passed\n", - "0 GP F 18 U GT3 A 4 4 at_home teacher course mother 2 2 0 yes no no no yes yes no no 4 3 4 1 1 3 6 no\n", - "1 GP F 17 U GT3 T 1 1 at_home other course father 1 2 0 no yes no no no yes yes no 5 3 3 1 1 3 4 no\n", - "2 GP F 15 U LE3 T 1 1 at_home other other mother 1 2 3 yes no yes no yes yes yes no 4 3 2 2 3 3 10 yes\n", - "3 GP F 15 U GT3 T 4 2 health services home mother 1 3 0 no yes yes yes yes yes yes yes 3 2 2 1 1 5 2 yes\n", - "4 GP F 16 U GT3 T 3 3 other other home father 1 2 0 no yes yes no yes yes no no 4 3 2 1 2 5 4 yes" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
ageMeduFedutraveltimestudytimefailuresfamrelfreetimegooutDalcWalchealthabsences
count395.0395.0395.0395.0395.0395.0395.0395.0395.0395.0395.0395.0395.0
mean17.03.03.01.02.00.04.03.03.01.02.04.06.0
std1.01.01.01.01.01.01.01.01.01.01.01.08.0
min15.00.00.01.01.00.01.01.01.01.01.01.00.0
25%16.02.02.01.01.00.04.03.02.01.01.03.00.0
50%17.03.02.01.02.00.04.03.03.01.02.04.04.0
75%18.04.03.02.02.00.05.04.04.02.03.05.08.0
max22.04.04.04.04.03.05.05.05.05.05.05.075.0
\n", - "
" - ], - "text/plain": [ - " age Medu Fedu traveltime studytime failures famrel freetime goout Dalc Walc health absences\n", - "count 395.0 395.0 395.0 395.0 395.0 395.0 395.0 395.0 395.0 395.0 395.0 395.0 395.0\n", - "mean 17.0 3.0 3.0 1.0 2.0 0.0 4.0 3.0 3.0 1.0 2.0 4.0 6.0\n", - "std 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 8.0\n", - "min 15.0 0.0 0.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0\n", - "25% 16.0 2.0 2.0 1.0 1.0 0.0 4.0 3.0 2.0 1.0 1.0 3.0 0.0\n", - "50% 17.0 3.0 2.0 1.0 2.0 0.0 4.0 3.0 3.0 1.0 2.0 4.0 4.0\n", - "75% 18.0 4.0 3.0 2.0 2.0 0.0 5.0 4.0 4.0 2.0 3.0 5.0 8.0\n", - "max 22.0 4.0 4.0 4.0 4.0 3.0 5.0 5.0 5.0 5.0 5.0 5.0 75.0" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Import libraries\n", - "import numpy as np\n", - "import pandas as pd\n", - "from time import time\n", - "from sklearn.metrics import f1_score\n", - "\n", - "from IPython.display import display # Allows the use of display() for displaying DataFrames\n", - "pd.options.display.max_columns = None #Allows us to view all columns of a DataFrame\n", - "\n", - "# Read student data\n", - "student_data = pd.read_csv(\"student-data.csv\")\n", - "print(\"Student data read successfully!\")\n", - "\n", - "# Display the first five records\n", - "display(student_data.head(n=5))\n", - "\n", - "# Some more additional data analysis\n", - "display(np.round(student_data.describe()))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Data Exploration\n", - "Let's begin by investigating the dataset to determine how many students we have information on, and learn about the graduation rate among these students. In the code cell below, you will need to compute the following:\n", - "- The total number of students, `n_students`.\n", - "- The total number of features for each student, `n_features`.\n", - "- The number of those students who passed, `n_passed`.\n", - "- The number of those students who failed, `n_failed`.\n", - "- The graduation rate of the class, `grad_rate`, in percent (%).\n" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Total number of students: 395\n", - "Number of features: 31\n", - "Number of students who passed: 265\n", - "Number of students who failed: 130\n", - "Graduation rate of the class: 67.09%\n" - ] - } - ], - "source": [ - "# TODO: Calculate number of students\n", - "n_students = student_data.shape[0]\n", - "\n", - "# TODO: Calculate number of features\n", - "n_features = student_data.shape[1]\n", - "\n", - "# TODO: Calculate passing students\n", - "passing_students = student_data.loc[(student_data['passed'] == \"yes\")]\n", - "n_passed = passing_students.shape[0]\n", - "\n", - "# TODO: Calculate failing students\n", - "failing_students = student_data.loc[(student_data['passed'] == \"no\")]\n", - "n_failed = failing_students.shape[0]\n", - "\n", - "# TODO: Calculate graduation rate\n", - "grad_rate = n_passed*100/n_students\n", - "\n", - "# Print the results\n", - "print(\"Total number of students: {}\".format(n_students))\n", - "print(\"Number of features: {}\".format(n_features))\n", - "print(\"Number of students who passed: {}\".format(n_passed))\n", - "print(\"Number of students who failed: {}\".format(n_failed))\n", - "print(\"Graduation rate of the class: {:.2f}%\".format(grad_rate))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Preparing the Data\n", - "In this section, we will prepare the data for modeling, training and testing.\n", - "\n", - "### Identify feature and target columns\n", - "It is often the case that the data you obtain contains non-numeric features. This can be a problem, as most machine learning algorithms expect numeric data to perform computations with.\n", - "\n", - "Run the code cell below to separate the student data into feature and target columns to see if any features are non-numeric." - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Feature columns:\n", - "['school', 'sex', 'age', 'address', 'famsize', 'Pstatus', 'Medu', 'Fedu', 'Mjob', 'Fjob', 'reason', 'guardian', 'traveltime', 'studytime', 'failures', 'schoolsup', 'famsup', 'paid', 'activities', 'nursery', 'higher', 'internet', 'romantic', 'famrel', 'freetime', 'goout', 'Dalc', 'Walc', 'health', 'absences']\n", - "\n", - "Target column: passed\n", - "\n", - "Feature values:\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
schoolsexageaddressfamsizePstatusMeduFeduMjobFjobreasonguardiantraveltimestudytimefailuresschoolsupfamsuppaidactivitiesnurseryhigherinternetromanticfamrelfreetimegooutDalcWalchealthabsences
0GPF18UGT3A44at_hometeachercoursemother220yesnononoyesyesnono4341136
1GPF17UGT3T11at_homeothercoursefather120noyesnononoyesyesno5331134
2GPF15ULE3T11at_homeotherothermother123yesnoyesnoyesyesyesno43223310
3GPF15UGT3T42healthserviceshomemother130noyesyesyesyesyesyesyes3221152
4GPF16UGT3T33otherotherhomefather120noyesyesnoyesyesnono4321254
\n", - "
" - ], - "text/plain": [ - " school sex age address famsize Pstatus Medu Fedu Mjob Fjob reason guardian traveltime studytime failures schoolsup famsup paid activities nursery higher internet romantic famrel freetime goout Dalc Walc health absences\n", - "0 GP F 18 U GT3 A 4 4 at_home teacher course mother 2 2 0 yes no no no yes yes no no 4 3 4 1 1 3 6\n", - "1 GP F 17 U GT3 T 1 1 at_home other course father 1 2 0 no yes no no no yes yes no 5 3 3 1 1 3 4\n", - "2 GP F 15 U LE3 T 1 1 at_home other other mother 1 2 3 yes no yes no yes yes yes no 4 3 2 2 3 3 10\n", - "3 GP F 15 U GT3 T 4 2 health services home mother 1 3 0 no yes yes yes yes yes yes yes 3 2 2 1 1 5 2\n", - "4 GP F 16 U GT3 T 3 3 other other home father 1 2 0 no yes yes no yes yes no no 4 3 2 1 2 5 4" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Extract feature columns\n", - "feature_cols = list(student_data.columns[:-1])\n", - "\n", - "# Extract target column 'passed'\n", - "target_col = student_data.columns[-1] \n", - "\n", - "# Show the list of columns\n", - "print(\"Feature columns:\\n{}\".format(feature_cols))\n", - "print(\"\\nTarget column: {}\".format(target_col))\n", - "\n", - "# Separate the data into feature data and target data (X_all and y_all, respectively)\n", - "X_all = student_data[feature_cols]\n", - "y_all = student_data[target_col]\n", - "\n", - "# Show the feature information by printing the first five rows\n", - "print(\"\\nFeature values:\")\n", - "display(X_all.head())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Preprocess Feature Columns\n", - "\n", - "As you can see, there are several non-numeric columns that need to be converted! Many of them are simply `yes`/`no`, e.g. `internet`. These can be reasonably converted into `1`/`0` (binary) values.\n", - "\n", - "Other columns, like `Mjob` and `Fjob`, have more than two values, and are known as _categorical variables_. The recommended way to handle such a column is to create as many columns as possible values (e.g. `Fjob_teacher`, `Fjob_other`, `Fjob_services`, etc.), and assign a `1` to one of them and `0` to all others.\n", - "\n", - "These generated columns are sometimes called _dummy variables_, and we will use the [`pandas.get_dummies()`](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.get_dummies.html?highlight=get_dummies#pandas.get_dummies) function to perform this transformation. Run the code cell below to perform the preprocessing routine discussed in this section." - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Processed feature columns (48 total features):\n", - "['school_GP', 'school_MS', 'sex_F', 'sex_M', 'age', 'address_R', 'address_U', 'famsize_GT3', 'famsize_LE3', 'Pstatus_A', 'Pstatus_T', 'Medu', 'Fedu', 'Mjob_at_home', 'Mjob_health', 'Mjob_other', 'Mjob_services', 'Mjob_teacher', 'Fjob_at_home', 'Fjob_health', 'Fjob_other', 'Fjob_services', 'Fjob_teacher', 'reason_course', 'reason_home', 'reason_other', 'reason_reputation', 'guardian_father', 'guardian_mother', 'guardian_other', 'traveltime', 'studytime', 'failures', 'schoolsup', 'famsup', 'paid', 'activities', 'nursery', 'higher', 'internet', 'romantic', 'famrel', 'freetime', 'goout', 'Dalc', 'Walc', 'health', 'absences']\n" - ] - } - ], - "source": [ - "def preprocess_features(X):\n", - " ''' Preprocesses the student data and converts non-numeric binary variables into\n", - " binary (0/1) variables. Converts categorical variables into dummy variables. '''\n", - " \n", - " # Initialize new output DataFrame\n", - " output = pd.DataFrame(index = X.index) #Empty DataFrame with range equal to X\n", - "\n", - " # Investigate each feature column for the data\n", - " for col, col_data in X.iteritems():\n", - " #print(\"col is \", col)\n", - " #print(\"col_data is \", col_data)\n", - " \n", - " # If data type is non-numeric, replace all yes/no values with 1/0\n", - " if col_data.dtype == object:\n", - " col_data = col_data.replace(['yes', 'no'], [1, 0])\n", - "\n", - " # If data type is categorical, convert to dummy variables\n", - " if col_data.dtype == object:\n", - " # Example: 'school' => 'school_GP' and 'school_MS'\n", - " col_data = pd.get_dummies(col_data, prefix = col) \n", - " \n", - " # Collect the revised columns\n", - " output = output.join(col_data)\n", - " \n", - " return output\n", - "\n", - "X_all = preprocess_features(X_all)\n", - "print(\"Processed feature columns ({} total features):\\n{}\".format(len(X_all.columns), list(X_all.columns)))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Training and Testing Data Split\n", - "So far, we have converted all _categorical_ features into numeric values. For the next step, we split the data (both features and corresponding labels) into training and test sets. In the following code cell below, you will need to implement the following:\n", - "- Randomly shuffle and split the data (`X_all`, `y_all`) into training and testing subsets.\n", - " - Use 300 training points (approximately 75%) and 95 testing points (approximately 25%).\n", - " - Set a `random_state` for the function(s) you use, if provided.\n", - " - Store the results in `X_train`, `X_test`, `y_train`, and `y_test`." - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Training set has 300 samples.\n", - "Testing set has 95 samples.\n" - ] - } - ], - "source": [ - "# TODO: Import any additional functionality you may need here\n", - "\n", - "# Import train_test_split\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# TODO: Set the number of training points\n", - "num_train = 300\n", - "\n", - "# Set the number of testing points\n", - "num_test = X_all.shape[0] - num_train\n", - "\n", - "# TODO: Shuffle and split the dataset into the number of training and testing points above\n", - "X_train = None\n", - "X_test = None\n", - "y_train = None\n", - "y_test = None\n", - "\n", - "# Split the 'features' and labels data into training and testing sets\n", - "X_train, X_test, y_train, y_test = train_test_split(X_all, \n", - " y_all, \n", - " test_size = 95, \n", - " random_state = 0)\n", - "\n", - "# Show the results of the split\n", - "print(\"Training set has {} samples.\".format(X_train.shape[0]))\n", - "print(\"Testing set has {} samples.\".format(X_test.shape[0]))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Training and Evaluating Models\n", - "In this section, you will choose 3 supervised learning models that are appropriate for this problem and available in `scikit-learn`. You will first discuss the reasoning behind choosing these three models by considering what you know about the data and each model's strengths and weaknesses. You will then fit the model to varying sizes of training data (100 data points, 200 data points, and 300 data points) and measure the F1 score. You will need to produce three tables (one for each model) that shows the training set size, training time, prediction time, F1 score on the training set, and F1 score on the testing set.\n", - "\n", - "**The following supervised learning models are currently available in** [`scikit-learn`](http://scikit-learn.org/stable/supervised_learning.html) **that you may choose from:**\n", - "- Gaussian Naive Bayes (GaussianNB)\n", - "- Decision Trees\n", - "- Ensemble Methods (Bagging, AdaBoost, Random Forest, Gradient Boosting)\n", - "- K-Nearest Neighbors (KNeighbors)\n", - "- Stochastic Gradient Descent (SGDC)\n", - "- Support Vector Machines (SVM)\n", - "- Logistic Regression" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 2 - Model Application\n", - "*List three supervised learning models that are appropriate for this problem. For each model chosen*\n", - "- Describe one real-world application in industry where the model can be applied. *(You may need to do a small bit of research for this — give references!)* \n", - "- What are the strengths of the model; when does it perform well? \n", - "- What are the weaknesses of the model; when does it perform poorly?\n", - "- What makes this model a good candidate for the problem, given what you know about the data?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: **\n", - "\n", - "**Gaussian Naive Bayes**\n", - "\n", - "* Can be used to mark emails as spam or not spam. Or classifying news articles\n", - "* Performs well in classification problems, especially in supervised learning\n", - "* The assumptions that Naive Bayes makes in conditional probabilities can often be inaccurate. It assumes that all features are independent of each other, while in the real world lot of these features can be dependent on each other\n", - "* The data-set is not extremely large, and Gaussian Naive Bayes performs well under these conditions. Moreover, it's easy to train the classifier given that the set of features are not very large\n", - "\n", - "**Decision Trees**\n", - "\n", - "* Used in situations where the outputs are non binary. Can also be used in classification problems\n", - "* Relatively easier to understand and interpret, since it is a 'white box' model\n", - "* Prone to information gain, leading to high bias for some attributes\n", - "* With the given data-set, there might be features that do not interact linearly. Decision trees can perform well in this regard. Moreover, combined with ensemble methods like bagging and boosting, they can be quite effective\n", - "\n", - "**Random forest**\n", - "\n", - "* Used for solving some of the overfitting problems in decision trees and other ML algorithms\n", - "* Can handle non-binary classification problems quite well. Quite fast to train\n", - "* With random sampling, all features might be treated equally and contribute to the final outcome\n", - "* With this given data-set, random forest can be faster to train, can also handle large number of training examples\n", - "\n", - "**Support Vector Machines**\n", - "\n", - "* Used in text classification problems, face detection and in the health industry\n", - "* Performs quite well in classification problems, and better than logistical regression methods. Guarantees to reach the global minimum rather than local minimum\n", - "* Doesn't take into account the structure of the data or its order. Training time can get high with large datasets\n", - "* It's less prone to overfitting some of the features in the data-set, and it can generalize well\n", - "\n", - "Sources:\n", - "\n", - "* [http://www.cs.cornell.edu/~caruana/ctp/ct.papers/caruana.icml06.pdf](http://www.cs.cornell.edu/~caruana/ctp/ct.papers/caruana.icml06.pdf)\n", - "\n", - "* [https://en.wikipedia.org/wiki/Naive_Bayes_classifier](https://en.wikipedia.org/wiki/Naive_Bayes_classifier)\n", - "\n", - "* [https://en.wikipedia.org/wiki/Information_gain_in_decision_trees](https://en.wikipedia.org/wiki/Information_gain_in_decision_trees)\n", - "\n", - "* [https://www.quora.com/What-are-the-advantages-of-different-classification-algorithms](https://www.quora.com/What-are-the-advantages-of-different-classification-algorithms)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Setup\n", - "Run the code cell below to initialize three helper functions which you can use for training and testing the three supervised learning models you've chosen above. The functions are as follows:\n", - "- `train_classifier` - takes as input a classifier and training data and fits the classifier to the data.\n", - "- `predict_labels` - takes as input a fit classifier, features, and a target labeling and makes predictions using the F1 score.\n", - "- `train_predict` - takes as input a classifier, and the training and testing data, and performs `train_clasifier` and `predict_labels`.\n", - " - This function will report the F1 score for both the training and testing data separately." - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [], - "source": [ - "def train_classifier(clf, X_train, y_train):\n", - " ''' Fits a classifier to the training data. '''\n", - " \n", - " # Start the clock, train the classifier, then stop the clock\n", - " start = time()\n", - " clf.fit(X_train, y_train)\n", - " end = time()\n", - " \n", - " # Print the results\n", - " print(\"Trained model in {:.4f} seconds\".format(end - start))\n", - "\n", - " \n", - "def predict_labels(clf, features, target):\n", - " ''' Makes predictions using a fit classifier based on F1 score. '''\n", - " \n", - " # Start the clock, make predictions, then stop the clock\n", - " start = time()\n", - " y_pred = clf.predict(features)\n", - " end = time()\n", - " \n", - " # Print and return results\n", - " print(\"Made predictions in {:.4f} seconds.\".format(end - start))\n", - " return f1_score(target.values, y_pred, pos_label='yes')\n", - "\n", - "\n", - "def train_predict(clf, X_train, y_train, X_test, y_test):\n", - " ''' Train and predict using a classifer based on F1 score. '''\n", - " \n", - " # Indicate the classifier and the training set size\n", - " print(\"Training a {} using a training set size of {}. . .\".format(clf.__class__.__name__, len(X_train)))\n", - " \n", - " # Train the classifier\n", - " train_classifier(clf, X_train, y_train)\n", - " \n", - " # Print the results of prediction for both training and testing\n", - " print(\"F1 score for training set: {:.4f}.\".format(predict_labels(clf, X_train, y_train)))\n", - " print(\"F1 score for test set: {:.4f}.\".format(predict_labels(clf, X_test, y_test)))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Model Performance Metrics\n", - "With the predefined functions above, you will now import the three supervised learning models of your choice and run the `train_predict` function for each one. Remember that you will need to train and predict on each classifier for three different training set sizes: 100, 200, and 300. Hence, you should expect to have 9 different outputs below — 3 for each model using the varying training set sizes. In the following code cell, you will need to implement the following:\n", - "- Import the three supervised learning models you've discussed in the previous section.\n", - "- Initialize the three models and store them in `clf_A`, `clf_B`, and `clf_C`.\n", - " - Use a `random_state` for each model you use, if provided.\n", - " - **Note:** Use the default settings for each model — you will tune one specific model in a later section.\n", - "- Create the different training set sizes to be used to train each model.\n", - " - *Do not reshuffle and resplit the data! The new training points should be drawn from `X_train` and `y_train`.*\n", - "- Fit each model with each training set size and make predictions on the test set (9 in total). \n", - "**Note:** Three tables are provided after the following code cell which can be used to store your results." - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Training a GaussianNB using a training set size of 100. . .\n", - "Trained model in 0.0012 seconds\n", - "Made predictions in 0.0003 seconds.\n", - "F1 score for training set: 0.8550.\n", - "Made predictions in 0.0005 seconds.\n", - "F1 score for test set: 0.7481.\n", - "Training a GaussianNB using a training set size of 200. . .\n", - "Trained model in 0.0008 seconds\n", - "Made predictions in 0.0003 seconds.\n", - "F1 score for training set: 0.8321.\n", - "Made predictions in 0.0003 seconds.\n", - "F1 score for test set: 0.7132.\n", - "Training a GaussianNB using a training set size of 300. . .\n", - "Trained model in 0.0011 seconds\n", - "Made predictions in 0.0005 seconds.\n", - "F1 score for training set: 0.8088.\n", - "Made predictions in 0.0006 seconds.\n", - "F1 score for test set: 0.7500.\n", - "Training a DecisionTreeClassifier using a training set size of 100. . .\n", - "Trained model in 0.0009 seconds\n", - "Made predictions in 0.0002 seconds.\n", - "F1 score for training set: 1.0000.\n", - "Made predictions in 0.0006 seconds.\n", - "F1 score for test set: 0.7009.\n", - "Training a DecisionTreeClassifier using a training set size of 200. . .\n", - "Trained model in 0.0012 seconds\n", - "Made predictions in 0.0002 seconds.\n", - "F1 score for training set: 1.0000.\n", - "Made predictions in 0.0002 seconds.\n", - "F1 score for test set: 0.7031.\n", - "Training a DecisionTreeClassifier using a training set size of 300. . .\n", - "Trained model in 0.0016 seconds\n", - "Made predictions in 0.0002 seconds.\n", - "F1 score for training set: 1.0000.\n", - "Made predictions in 0.0002 seconds.\n", - "F1 score for test set: 0.7167.\n", - "Training a RandomForestClassifier using a training set size of 100. . .\n", - "Trained model in 0.0086 seconds\n", - "Made predictions in 0.0022 seconds.\n", - "F1 score for training set: 0.9922.\n", - "Made predictions in 0.0008 seconds.\n", - "F1 score for test set: 0.6942.\n", - "Training a RandomForestClassifier using a training set size of 200. . .\n", - "Trained model in 0.0088 seconds\n", - "Made predictions in 0.0009 seconds.\n", - "F1 score for training set: 1.0000.\n", - "Made predictions in 0.0007 seconds.\n", - "F1 score for test set: 0.7368.\n", - "Training a RandomForestClassifier using a training set size of 300. . .\n", - "Trained model in 0.0090 seconds\n", - "Made predictions in 0.0010 seconds.\n", - "F1 score for training set: 0.9952.\n", - "Made predictions in 0.0008 seconds.\n", - "F1 score for test set: 0.7939.\n" - ] - } - ], - "source": [ - "# TODO: Import the three supervised learning models from sklearn\n", - "# from sklearn import model_A\n", - "# from sklearn import model_B\n", - "# from sklearn import model_C\n", - "from sklearn.naive_bayes import GaussianNB\n", - "from sklearn.tree import DecisionTreeClassifier\n", - "from sklearn.ensemble import RandomForestClassifier\n", - "\n", - "# TODO: Initialize the three models\n", - "clf_A = GaussianNB()\n", - "clf_B = DecisionTreeClassifier(max_depth=None, random_state=None)\n", - "clf_C = RandomForestClassifier(max_depth=None, random_state=None)\n", - "\n", - "# TODO: Set up the training set sizes\n", - "X_train_100 = X_train[:100]\n", - "y_train_100 = y_train[:100]\n", - "\n", - "X_train_200 = X_train[:200]\n", - "y_train_200 = y_train[:200]\n", - "\n", - "X_train_300 = X_train[:300]\n", - "y_train_300 = y_train[:300]\n", - "\n", - "X_samples = [X_train_100, X_train_200, X_train_300]\n", - "y_samples = [y_train_100, y_train_200, y_train_300]\n", - "# TODO: Execute the 'train_predict' function for each classifier and each training set size\n", - "for clf in [clf_A, clf_B, clf_C]:\n", - " clf_name = clf.__class__.__name__\n", - " \n", - " for i, samples in enumerate(X_samples):\n", - " train_predict(clf, samples, y_samples[i], X_test, y_test)\n", - "\n", - " \n", - "#train_predict(clf, X_train, y_train, X_test, y_test)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Tabular Results\n", - "Edit the cell below to see how a table can be designed in [Markdown](https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet#tables). You can record your results from above in the tables provided." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "** Classifer 1 - ?** \n", - "\n", - "| Training Set Size | Training Time | Prediction Time (test) | F1 Score (train) | F1 Score (test) |\n", - "| :---------------: | :---------------------: | :--------------------: | :--------------: | :-------------: |\n", - "| 100 | 0.0012 | 0.003 | 0.8550 | 0.7481 |\n", - "| 200 | 0.0008 | 0.0003 | 0.8321 | 0.71 |\n", - "| 300 | 0.0011 | 0.0005 | 0.8088 | 0.7500 |\n", - "\n", - "** Classifer 2 - ?** \n", - "\n", - "| Training Set Size | Training Time | Prediction Time (test) | F1 Score (train) | F1 Score (test) |\n", - "| :---------------: | :---------------------: | :--------------------: | :--------------: | :-------------: |\n", - "| 100 | 0.0009 | 0.0006 | 1 | 0.7009 |\n", - "| 200 | 0.0012 | 0.0002 | 1 | 0.7031 |\n", - "| 300 | 0.0016 | 0.0002 | 1 | 0.7167 |\n", - "\n", - "** Classifer 3 - ?** \n", - "\n", - "| Training Set Size | Training Time | Prediction Time (test) | F1 Score (train) | F1 Score (test) |\n", - "| :---------------: | :---------------------: | :--------------------: | :--------------: | :-------------: |\n", - "| 100 | 0.0086 | 0.0008 | 0.9922 | 0.6942 |\n", - "| 200 | 0.0088 | 0.0007 | 1 | 0.7368 |\n", - "| 300 | 0.0090 | 0.0008 | 0.9952 | 0.7939 |" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Choosing the Best Model\n", - "In this final section, you will choose from the three supervised learning models the *best* model to use on the student data. You will then perform a grid search optimization for the model over the entire training set (`X_train` and `y_train`) by tuning at least one parameter to improve upon the untuned model's F1 score. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 3 - Choosing the Best Model\n", - "*Based on the experiments you performed earlier, in one to two paragraphs, explain to the board of supervisors what single model you chose as the best model. Which model is generally the most appropriate based on the available data, limited resources, cost, and performance?*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: **\n", - "\n", - "Based on the results, I most definitely believe that a random forest model will be most appropriate for this task. When 100% of the training data is used, The F score for Random forest is higher (0.794) compared to other models (Decision trees - 0.716 and Gaussian Naive Bayes - 0.75). Based on these factors, random forest is better suited to make predictions. It performs fairly well and the training time and prediction times are on acceptable levels.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 4 - Model in Layman's Terms\n", - "*In one to two paragraphs, explain to the board of directors in layman's terms how the final model chosen is supposed to work. Be sure that you are describing the major qualities of the model, such as how the model is trained and how the model makes a prediction. Avoid using advanced mathematical or technical jargon, such as describing equations or discussing the algorithm implementation.*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: **\n", - "\n", - "In order to understand how Random Forest works, we need to understand how a Decision Tree Classifier works.\n", - "\n", - "A Decision Tree Classifier basically asks a series of Yes or No Questions, and based on the responses, it arrives at the final decision/result/outcome. It's basically like playing a game of 20 questions. Assuming that in this game the task is to predict what person/object are you thinking about, I start to ask a series of Yes/No type questions. Now, if the first question that I ask is - \"are you thinking of a potato\", that would be pretty much useless. Instead, if the question that I ask is \"Is it a person\", then that reveals much more information. This way, every question that I ask would be about maximizing the \"Information Gain\", each successfully bringing me closer and closer to the final prediction. The Decision Tree works exactly this way, using the features in the data-set to form its series of Yes/No questions.\n", - "\n", - "A decision tree is prone to making mistakes, or overfitting. A random forest works by collecting the results of multiple decision tree classifiers and averaging their results. The majority vote of the collection of decision trees is considered to be the final prediciton." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Model Tuning\n", - "Fine tune the chosen model. Use grid search (`GridSearchCV`) with at least one important parameter tuned with at least 3 different values. You will need to use the entire training set for this. In the code cell below, you will need to implement the following:\n", - "- Import [`sklearn.grid_search.GridSearchCV`](http://scikit-learn.org/0.17/modules/generated/sklearn.grid_search.GridSearchCV.html) and [`sklearn.metrics.make_scorer`](http://scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html).\n", - "- Create a dictionary of parameters you wish to tune for the chosen model.\n", - " - Example: `parameters = {'parameter' : [list of values]}`.\n", - "- Initialize the classifier you've chosen and store it in `clf`.\n", - "- Create the F1 scoring function using `make_scorer` and store it in `f1_scorer`.\n", - " - Set the `pos_label` parameter to the correct value!\n", - "- Perform grid search on the classifier `clf` using `f1_scorer` as the scoring method, and store it in `grid_obj`.\n", - "- Fit the grid search object to the training data (`X_train`, `y_train`), and store it in `grid_obj`." - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Made predictions in 0.0017 seconds.\n", - "Tuned model has a training F1 score of 0.9067.\n", - "Made predictions in 0.0013 seconds.\n", - "Tuned model has a testing F1 score of 0.8058.\n" - ] - } - ], - "source": [ - "# TODO: Import 'GridSearchCV' and 'make_scorer'\n", - "from sklearn.model_selection import GridSearchCV\n", - "from sklearn.metrics import make_scorer\n", - "\n", - "# TODO: Create the parameters list you wish to tune\n", - "parameters = {'n_estimators': [10, 20, 30], 'max_features':[3,4,5, None], 'max_depth': [5,6,7, None]}\n", - "\n", - "# TODO: Initialize the classifier\n", - "clf = RandomForestClassifier(max_depth=None, random_state=None)\n", - "\n", - "# TODO: Make an f1 scoring function using 'make_scorer' \n", - "f1_scorer = make_scorer(f1_score, average=\"micro\")\n", - "\n", - "# TODO: Perform grid search on the classifier using the f1_scorer as the scoring method\n", - "grid_obj = GridSearchCV(clf, parameters, scoring=f1_scorer)\n", - "\n", - "# TODO: Fit the grid search object to the training data and find the optimal parameters\n", - "grid_obj = grid_obj.fit(X_train, y_train)\n", - "\n", - "# Get the estimator\n", - "clf = grid_obj.best_estimator_\n", - "\n", - "# Report the final F1 score for training and testing after parameter tuning\n", - "print(\"Tuned model has a training F1 score of {:.4f}.\".format(predict_labels(clf, X_train, y_train)))\n", - "print(\"Tuned model has a testing F1 score of {:.4f}.\".format(predict_labels(clf, X_test, y_test)))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 5 - Final F1 Score\n", - "*What is the final model's F1 score for training and testing? How does that score compare to the untuned model?*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: ** \n", - "\n", - "As it turns out, the final model's performance has infact slightly increased, though not by a huge margin. The final model's F1 score is 80.5%." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "> **Note**: Once you have completed all of the code implementations and successfully answered each question above, you may finalize your work by exporting the iPython Notebook as an HTML document. You can do this by using the menu above and navigating to \n", - "**File -> Download as -> HTML (.html)**. Include the finished document along with this notebook as your submission." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.4" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/student_intervention/README.md b/student_intervention/README.md deleted file mode 100755 index e20a5a7..0000000 --- a/student_intervention/README.md +++ /dev/null @@ -1,69 +0,0 @@ -# Machine Learning Engineer Nanodegree -# Supervised Learning -## Project: Building a Student Intervention System - -### Install - -This project requires **Python 2.7** and the following Python libraries installed: - -- [NumPy](http://www.numpy.org/) -- [Pandas](http://pandas.pydata.org) -- [scikit-learn](http://scikit-learn.org/stable/) - -You will also need to have software installed to run and execute a [Jupyter Notebook](http://ipython.org/notebook.html) - -If you do not have Python installed yet, it is highly recommended that you install the [Anaconda](http://continuum.io/downloads) distribution of Python, which already has the above packages and more included. Make sure that you select the Python 2.7 installer and not the Python 3.x installer. - -### Code - -Template code is provided in the `student_intervention.ipynb` notebook file. You will also be required to use the `student-data.csv` dataset file to complete your work. While some code has already been implemented to get you started, you will need to implement additional functionality when requested to successfully complete the project. - -### Run - -In a terminal or command window, navigate to the top-level project directory `student_intervention/` (that contains this README) and run one of the following commands: - -```bash -ipython notebook student_intervention.ipynb -``` -or -```bash -jupyter notebook student_intervention.ipynb -``` - -This will open the Jupyter Notebook software and project file in your browser. - -### Data - -The dataset used in this project is included as `student-data.csv`. This dataset has the following attributes: - -- `school` : student's school (binary: "GP" or "MS") -- `sex` : student's sex (binary: "F" - female or "M" - male) -- `age` : student's age (numeric: from 15 to 22) -- `address` : student's home address type (binary: "U" - urban or "R" - rural) -- `famsize` : family size (binary: "LE3" - less or equal to 3 or "GT3" - greater than 3) -- `Pstatus` : parent's cohabitation status (binary: "T" - living together or "A" - apart) -- `Medu` : mother's education (numeric: 0 - none, 1 - primary education (4th grade), 2 - 5th to 9th grade, 3 - secondary education or 4 - higher education) -- `Fedu` : father's education (numeric: 0 - none, 1 - primary education (4th grade), 2 - 5th to 9th grade, 3 - secondary education or 4 - higher education) -- `Mjob` : mother's job (nominal: "teacher", "health" care related, civil "services" (e.g. administrative or police), "at_home" or "other") -- `Fjob` : father's job (nominal: "teacher", "health" care related, civil "services" (e.g. administrative or police), "at_home" or "other") -- `reason` : reason to choose this school (nominal: close to "home", school "reputation", "course" preference or "other") -- `guardian` : student's guardian (nominal: "mother", "father" or "other") -- `traveltime` : home to school travel time (numeric: 1 - <15 min., 2 - 15 to 30 min., 3 - 30 min. to 1 hour, or 4 - >1 hour) -- `studytime` : weekly study time (numeric: 1 - <2 hours, 2 - 2 to 5 hours, 3 - 5 to 10 hours, or 4 - >10 hours) -- `failures` : number of past class failures (numeric: n if 1<=n<3, else 4) -- `schoolsup` : extra educational support (binary: yes or no) -- `famsup` : family educational support (binary: yes or no) -- `paid` : extra paid classes within the course subject (Math or Portuguese) (binary: yes or no) -- `activities` : extra-curricular activities (binary: yes or no) -- `nursery` : attended nursery school (binary: yes or no) -- `higher` : wants to take higher education (binary: yes or no) -- `internet` : Internet access at home (binary: yes or no) -- `romantic` : with a romantic relationship (binary: yes or no) -- `famrel` : quality of family relationships (numeric: from 1 - very bad to 5 - excellent) -- `freetime` : free time after school (numeric: from 1 - very low to 5 - very high) -- `goout` : going out with friends (numeric: from 1 - very low to 5 - very high) -- `Dalc` : workday alcohol consumption (numeric: from 1 - very low to 5 - very high) -- `Walc` : weekend alcohol consumption (numeric: from 1 - very low to 5 - very high) -- `health` : current health status (numeric: from 1 - very bad to 5 - very good) -- `absences` : number of school absences (numeric: from 0 to 93) -- `passed` : did the student pass the final exam (binary: yes or no) diff --git a/student_intervention/project_description.md b/student_intervention/project_description.md deleted file mode 100755 index d183819..0000000 --- a/student_intervention/project_description.md +++ /dev/null @@ -1,50 +0,0 @@ -# Content: Supervised Learning -## Project: Creating a Student Intervention System - -## Project Overview -As education has grown to rely more on technology, vast amounts of data has become available for examination and prediction. Logs of student activities, grades, interactions with teachers and fellow students, and more, are now captured in real time through learning management systems like **Canvas** and **Edmodo**. This is especially true for online classrooms, which are becoming popular even at the primary and secondary school level. Within all levels of education, there exists a push to help increase the likelihood of student success, without watering down the education or engaging in behaviors that fail to improve the underlying issues. Graduation rates are often the criteria of choice, and educators seek new ways to predict the success and failure of students early enough to stage effective interventions. - -## Description -A local school district has a goal to reach a 95% graduation rate by the end of the decade by identifying students who need intervention before they drop out of school. As a software engineer contacted by the school district, your task is to model the factors that predict how likely a student is to pass their high school final exam, by constructing an intervention system that leverages supervised learning techniques. The board of supervisors has asked that you find the most effective model that uses the least amount of computation costs to save on the budget. You will need to analyze the dataset on students' performance and develop a model that will predict the likelihood that a given student will pass, quantifying whether an intervention is necessary. - -## Software Requirements -This project uses the following software and Python libraries: - -- [Python 2.7](https://www.python.org/download/releases/2.7/) -- [NumPy](http://www.numpy.org/) -- [pandas](http://pandas.pydata.org/) -- [scikit-learn](http://scikit-learn.org/0.17/install.html) (v0.17) - -You will also need to have software installed to run and execute a [Jupyter Notebook](http://ipython.org/notebook.html). - -If you do not have Python installed yet, it is highly recommended that you install the [Anaconda](http://continuum.io/downloads) distribution of Python, which already has the above packages and more included. Make sure that you select the Python 2.7 installer and not the Python 3.x installer. - -## Starting the Project -For this assignment, you can find the `student_intervention` folder containing the necessary project files on the [Machine Learning projects GitHub](https://github.com/udacity/machine-learning), under the `projects` folder. You may download all of the files for projects we'll use in this Nanodegree program directly from this repo. Please make sure that you use the most recent version of project files when completing a project! - -This project contains two files: - -- `student_intervention.ipynb`: This is the main file where you will be performing your work on the project. -- `student-data.csv`: The project dataset. You?ll load this data in the notebook. - -In the Terminal or Command Prompt, navigate to the folder containing the project files, and then use the command `jupyter notebook student_intervention.ipynb` to open up a browser window or tab to work with your notebook. Alternatively, you can use the command `jupyter notebook` or `ipython notebook` and navigate to the notebook file in the browser window that opens. Follow the instructions in the notebook and answer each question presented to successfully complete the project. A **README** file has also been provided with the project files which may contain additional necessary information or instruction for the project. - -## Submitting the Project - -### Evaluation -Your project will be reviewed by a Udacity reviewer against the **Building a Student Intervention System project rubric**. Be sure to review this rubric thoroughly and self-evaluate your project before submission. All criteria found in the rubric must be *meeting specifications* for you to pass. - -### Submission Files -When you are ready to submit your project, collect the following files and compress them into a single archive for upload. Alternatively, you may supply the following files on your GitHub Repo in a folder named `student_intervention` for ease of access: - - The `student_intervention.ipynb` notebook file with all questions answered and all code cells executed and displaying output. - - An **HTML** export of the project notebook with the name **report.html**. This file *must* be present for your project to be evaluated. - -Once you have collected these files and reviewed the project rubric, proceed to the project submission page. - -### I'm Ready! -When you're ready to submit your project, click on the **Submit Project** button at the bottom of the page. - -If you are having any problems submitting your project or wish to check on the status of your submission, please email us at **machine-support@udacity.com** or visit us in the discussion forums. - -### What's Next? -You will get an email as soon as your reviewer has feedback for you. In the meantime, review your next project and feel free to get started on it or the courses supporting it! diff --git a/student_intervention/report.html b/student_intervention/report.html deleted file mode 100644 index 4fc0afe..0000000 --- a/student_intervention/report.html +++ /dev/null @@ -1,13366 +0,0 @@ - - - -student_intervention - - - - - - - - - - - - - - - - - - - -
-
- -
-
-
-
-

Machine Learning Engineer Nanodegree

Supervised Learning

Project: Building a Student Intervention System

-
-
-
-
-
-
-
-

Welcome to the second project of the Machine Learning Engineer Nanodegree! In this notebook, some template code has already been provided for you, and it will be your job to implement the additional functionality necessary to successfully complete this project. Sections that begin with 'Implementation' in the header indicate that the following block of code will require additional functionality which you must provide. Instructions will be provided for each section and the specifics of the implementation are marked in the code block with a 'TODO' statement. Please be sure to read the instructions carefully!

-

In addition to implementing code, there will be questions that you must answer which relate to the project and your implementation. Each section where you will answer a question is preceded by a 'Question X' header. Carefully read each question and provide thorough answers in the following text boxes that begin with 'Answer:'. Your project submission will be evaluated based on your answers to each of the questions and the implementation you provide.

-

Note: Code and Markdown cells can be executed using the Shift + Enter keyboard shortcut. In addition, Markdown cells can be edited by typically double-clicking the cell to enter edit mode.

-
- -
-
-
-
-
-
-
-

Question 1 - Classification vs. Regression

Your goal for this project is to identify students who might need early intervention before they fail to graduate. Which type of supervised learning problem is this, classification or regression? Why?

- -
-
-
-
-
-
-
-

Answer:

-

Given that in this problem we aren't trying to predict continuous values, this is clearly not regression. This problem comes under classification. The problem statement gives a big clue as to why - we need to identify whether a student needs early intervention or not. So there are clearly two labels, wither of which could apply to a student - (a)whether a student needs early intervention, OR (b) A student doesn't need early intervention.

- -
-
-
-
-
-
-
-

Exploring the Data

Run the code cell below to load necessary Python libraries and load the student data. Note that the last column from this dataset, 'passed', will be our target label (whether the student graduated or didn't graduate). All other columns are features about each student.

- -
-
-
-
-
-
In [32]:
-
-
-
# Import libraries
-import numpy as np
-import pandas as pd
-from time import time
-from sklearn.metrics import f1_score
-
-from IPython.display import display # Allows the use of display() for displaying DataFrames
-pd.options.display.max_columns = None #Allows us to view all columns of a DataFrame
-
-# Read student data
-student_data = pd.read_csv("student-data.csv")
-print("Student data read successfully!")
-
-# Display the first five records
-display(student_data.head(n=5))
-
-# Some more additional data analysis
-display(np.round(student_data.describe()))
-
- -
-
-
- -
-
- - -
- -
- - -
-
Student data read successfully!
-
-
-
- -
- -
- - - -
-
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
schoolsexageaddressfamsizePstatusMeduFeduMjobFjobreasonguardiantraveltimestudytimefailuresschoolsupfamsuppaidactivitiesnurseryhigherinternetromanticfamrelfreetimegooutDalcWalchealthabsencespassed
0GPF18UGT3A44at_hometeachercoursemother220yesnononoyesyesnono4341136no
1GPF17UGT3T11at_homeothercoursefather120noyesnononoyesyesno5331134no
2GPF15ULE3T11at_homeotherothermother123yesnoyesnoyesyesyesno43223310yes
3GPF15UGT3T42healthserviceshomemother130noyesyesyesyesyesyesyes3221152yes
4GPF16UGT3T33otherotherhomefather120noyesyesnoyesyesnono4321254yes
-
-
- -
- -
- -
- - - -
-
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
ageMeduFedutraveltimestudytimefailuresfamrelfreetimegooutDalcWalchealthabsences
count395.0395.0395.0395.0395.0395.0395.0395.0395.0395.0395.0395.0395.0
mean17.03.03.01.02.00.04.03.03.01.02.04.06.0
std1.01.01.01.01.01.01.01.01.01.01.01.08.0
min15.00.00.01.01.00.01.01.01.01.01.01.00.0
25%16.02.02.01.01.00.04.03.02.01.01.03.00.0
50%17.03.02.01.02.00.04.03.03.01.02.04.04.0
75%18.04.03.02.02.00.05.04.04.02.03.05.08.0
max22.04.04.04.04.03.05.05.05.05.05.05.075.0
-
-
- -
- -
-
- -
-
-
-
-
-

Implementation: Data Exploration

Let's begin by investigating the dataset to determine how many students we have information on, and learn about the graduation rate among these students. In the code cell below, you will need to compute the following:

-
    -
  • The total number of students, n_students.
  • -
  • The total number of features for each student, n_features.
  • -
  • The number of those students who passed, n_passed.
  • -
  • The number of those students who failed, n_failed.
  • -
  • The graduation rate of the class, grad_rate, in percent (%).
  • -
- -
-
-
-
-
-
In [33]:
-
-
-
# TODO: Calculate number of students
-n_students = student_data.shape[0]
-
-# TODO: Calculate number of features
-n_features = student_data.shape[1]
-
-# TODO: Calculate passing students
-passing_students = student_data.loc[(student_data['passed'] == "yes")]
-n_passed = passing_students.shape[0]
-
-# TODO: Calculate failing students
-failing_students = student_data.loc[(student_data['passed'] == "no")]
-n_failed = failing_students.shape[0]
-
-# TODO: Calculate graduation rate
-grad_rate = n_passed*100/n_students
-
-# Print the results
-print("Total number of students: {}".format(n_students))
-print("Number of features: {}".format(n_features))
-print("Number of students who passed: {}".format(n_passed))
-print("Number of students who failed: {}".format(n_failed))
-print("Graduation rate of the class: {:.2f}%".format(grad_rate))
-
- -
-
-
- -
-
- - -
- -
- - -
-
Total number of students: 395
-Number of features: 31
-Number of students who passed: 265
-Number of students who failed: 130
-Graduation rate of the class: 67.09%
-
-
-
- -
-
- -
-
-
-
-
-

Preparing the Data

In this section, we will prepare the data for modeling, training and testing.

-

Identify feature and target columns

It is often the case that the data you obtain contains non-numeric features. This can be a problem, as most machine learning algorithms expect numeric data to perform computations with.

-

Run the code cell below to separate the student data into feature and target columns to see if any features are non-numeric.

- -
-
-
-
-
-
In [50]:
-
-
-
# Extract feature columns
-feature_cols = list(student_data.columns[:-1])
-
-# Extract target column 'passed'
-target_col = student_data.columns[-1] 
-
-# Show the list of columns
-print("Feature columns:\n{}".format(feature_cols))
-print("\nTarget column: {}".format(target_col))
-
-# Separate the data into feature data and target data (X_all and y_all, respectively)
-X_all = student_data[feature_cols]
-y_all = student_data[target_col]
-
-# Show the feature information by printing the first five rows
-print("\nFeature values:")
-display(X_all.head())
-
- -
-
-
- -
-
- - -
- -
- - -
-
Feature columns:
-['school', 'sex', 'age', 'address', 'famsize', 'Pstatus', 'Medu', 'Fedu', 'Mjob', 'Fjob', 'reason', 'guardian', 'traveltime', 'studytime', 'failures', 'schoolsup', 'famsup', 'paid', 'activities', 'nursery', 'higher', 'internet', 'romantic', 'famrel', 'freetime', 'goout', 'Dalc', 'Walc', 'health', 'absences']
-
-Target column: passed
-
-Feature values:
-
-
-
- -
- -
- - - -
-
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
schoolsexageaddressfamsizePstatusMeduFeduMjobFjobreasonguardiantraveltimestudytimefailuresschoolsupfamsuppaidactivitiesnurseryhigherinternetromanticfamrelfreetimegooutDalcWalchealthabsences
0GPF18UGT3A44at_hometeachercoursemother220yesnononoyesyesnono4341136
1GPF17UGT3T11at_homeothercoursefather120noyesnononoyesyesno5331134
2GPF15ULE3T11at_homeotherothermother123yesnoyesnoyesyesyesno43223310
3GPF15UGT3T42healthserviceshomemother130noyesyesyesyesyesyesyes3221152
4GPF16UGT3T33otherotherhomefather120noyesyesnoyesyesnono4321254
-
-
- -
- -
-
- -
-
-
-
-
-

Preprocess Feature Columns

As you can see, there are several non-numeric columns that need to be converted! Many of them are simply yes/no, e.g. internet. These can be reasonably converted into 1/0 (binary) values.

-

Other columns, like Mjob and Fjob, have more than two values, and are known as categorical variables. The recommended way to handle such a column is to create as many columns as possible values (e.g. Fjob_teacher, Fjob_other, Fjob_services, etc.), and assign a 1 to one of them and 0 to all others.

-

These generated columns are sometimes called dummy variables, and we will use the pandas.get_dummies() function to perform this transformation. Run the code cell below to perform the preprocessing routine discussed in this section.

- -
-
-
-
-
-
In [51]:
-
-
-
def preprocess_features(X):
-    ''' Preprocesses the student data and converts non-numeric binary variables into
-        binary (0/1) variables. Converts categorical variables into dummy variables. '''
-    
-    # Initialize new output DataFrame
-    output = pd.DataFrame(index = X.index) #Empty DataFrame with range equal to X
-
-    # Investigate each feature column for the data
-    for col, col_data in X.iteritems():
-        #print("col is ", col)
-        #print("col_data is ", col_data)
-        
-        # If data type is non-numeric, replace all yes/no values with 1/0
-        if col_data.dtype == object:
-            col_data = col_data.replace(['yes', 'no'], [1, 0])
-
-        # If data type is categorical, convert to dummy variables
-        if col_data.dtype == object:
-            # Example: 'school' => 'school_GP' and 'school_MS'
-            col_data = pd.get_dummies(col_data, prefix = col)  
-        
-        # Collect the revised columns
-        output = output.join(col_data)
-    
-    return output
-
-X_all = preprocess_features(X_all)
-print("Processed feature columns ({} total features):\n{}".format(len(X_all.columns), list(X_all.columns)))
-
- -
-
-
- -
-
- - -
- -
- - -
-
Processed feature columns (48 total features):
-['school_GP', 'school_MS', 'sex_F', 'sex_M', 'age', 'address_R', 'address_U', 'famsize_GT3', 'famsize_LE3', 'Pstatus_A', 'Pstatus_T', 'Medu', 'Fedu', 'Mjob_at_home', 'Mjob_health', 'Mjob_other', 'Mjob_services', 'Mjob_teacher', 'Fjob_at_home', 'Fjob_health', 'Fjob_other', 'Fjob_services', 'Fjob_teacher', 'reason_course', 'reason_home', 'reason_other', 'reason_reputation', 'guardian_father', 'guardian_mother', 'guardian_other', 'traveltime', 'studytime', 'failures', 'schoolsup', 'famsup', 'paid', 'activities', 'nursery', 'higher', 'internet', 'romantic', 'famrel', 'freetime', 'goout', 'Dalc', 'Walc', 'health', 'absences']
-
-
-
- -
-
- -
-
-
-
-
-

Implementation: Training and Testing Data Split

So far, we have converted all categorical features into numeric values. For the next step, we split the data (both features and corresponding labels) into training and test sets. In the following code cell below, you will need to implement the following:

-
    -
  • Randomly shuffle and split the data (X_all, y_all) into training and testing subsets.
      -
    • Use 300 training points (approximately 75%) and 95 testing points (approximately 25%).
    • -
    • Set a random_state for the function(s) you use, if provided.
    • -
    • Store the results in X_train, X_test, y_train, and y_test.
    • -
    -
  • -
- -
-
-
-
-
-
In [54]:
-
-
-
# TODO: Import any additional functionality you may need here
-
-# Import train_test_split
-from sklearn.model_selection import train_test_split
-
-# TODO: Set the number of training points
-num_train = 300
-
-# Set the number of testing points
-num_test = X_all.shape[0] - num_train
-
-# TODO: Shuffle and split the dataset into the number of training and testing points above
-X_train = None
-X_test = None
-y_train = None
-y_test = None
-
-# Split the 'features' and labels data into training and testing sets
-X_train, X_test, y_train, y_test = train_test_split(X_all, 
-                                                    y_all, 
-                                                    test_size = 95, 
-                                                    random_state = 0)
-
-# Show the results of the split
-print("Training set has {} samples.".format(X_train.shape[0]))
-print("Testing set has {} samples.".format(X_test.shape[0]))
-
- -
-
-
- -
-
- - -
- -
- - -
-
Training set has 300 samples.
-Testing set has 95 samples.
-
-
-
- -
-
- -
-
-
-
-
-

Training and Evaluating Models

In this section, you will choose 3 supervised learning models that are appropriate for this problem and available in scikit-learn. You will first discuss the reasoning behind choosing these three models by considering what you know about the data and each model's strengths and weaknesses. You will then fit the model to varying sizes of training data (100 data points, 200 data points, and 300 data points) and measure the F1 score. You will need to produce three tables (one for each model) that shows the training set size, training time, prediction time, F1 score on the training set, and F1 score on the testing set.

-

The following supervised learning models are currently available in scikit-learn that you may choose from:

-
    -
  • Gaussian Naive Bayes (GaussianNB)
  • -
  • Decision Trees
  • -
  • Ensemble Methods (Bagging, AdaBoost, Random Forest, Gradient Boosting)
  • -
  • K-Nearest Neighbors (KNeighbors)
  • -
  • Stochastic Gradient Descent (SGDC)
  • -
  • Support Vector Machines (SVM)
  • -
  • Logistic Regression
  • -
- -
-
-
-
-
-
-
-

Question 2 - Model Application

List three supervised learning models that are appropriate for this problem. For each model chosen

-
    -
  • Describe one real-world application in industry where the model can be applied. (You may need to do a small bit of research for this — give references!)
  • -
  • What are the strengths of the model; when does it perform well?
  • -
  • What are the weaknesses of the model; when does it perform poorly?
  • -
  • What makes this model a good candidate for the problem, given what you know about the data?
  • -
- -
-
-
-
-
-
-
-

Answer:

-

Gaussian Naive Bayes

-
    -
  • Can be used to mark emails as spam or not spam. Or classifying news articles
  • -
  • Performs well in classification problems, especially in supervised learning
  • -
  • The assumptions that Naive Bayes makes in conditional probabilities can often be inaccurate. It assumes that all features are independent of each other, while in the real world lot of these features can be dependent on each other
  • -
  • The data-set is not extremely large, and Gaussian Naive Bayes performs well under these conditions. Moreover, it's easy to train the classifier given that the set of features are not very large
  • -
-

Decision Trees

-
    -
  • Used in situations where the outputs are non binary. Can also be used in classification problems
  • -
  • Relatively easier to understand and interpret, since it is a 'white box' model
  • -
  • Prone to information gain, leading to high bias for some attributes
  • -
  • With the given data-set, there might be features that do not interact linearly. Decision trees can perform well in this regard. Moreover, combined with ensemble methods like bagging and boosting, they can be quite effective
  • -
-

Random forest

-
    -
  • Used for solving some of the overfitting problems in decision trees and other ML algorithms
  • -
  • Can handle non-binary classification problems quite well. Quite fast to train
  • -
  • With random sampling, all features might be treated equally and contribute to the final outcome
  • -
  • With this given data-set, random forest can be faster to train, can also handle large number of training examples
  • -
-

Support Vector Machines

-
    -
  • Used in text classification problems, face detection and in the health industry
  • -
  • Performs quite well in classification problems, and better than logistical regression methods. Guarantees to reach the global minimum rather than local minimum
  • -
  • Doesn't take into account the structure of the data or its order. Training time can get high with large datasets
  • -
  • It's less prone to overfitting some of the features in the data-set, and it can generalize well
  • -
-

Sources:

- - -
-
-
-
-
-
-
-

Setup

Run the code cell below to initialize three helper functions which you can use for training and testing the three supervised learning models you've chosen above. The functions are as follows:

-
    -
  • train_classifier - takes as input a classifier and training data and fits the classifier to the data.
  • -
  • predict_labels - takes as input a fit classifier, features, and a target labeling and makes predictions using the F1 score.
  • -
  • train_predict - takes as input a classifier, and the training and testing data, and performs train_clasifier and predict_labels.
      -
    • This function will report the F1 score for both the training and testing data separately.
    • -
    -
  • -
- -
-
-
-
-
-
In [56]:
-
-
-
def train_classifier(clf, X_train, y_train):
-    ''' Fits a classifier to the training data. '''
-    
-    # Start the clock, train the classifier, then stop the clock
-    start = time()
-    clf.fit(X_train, y_train)
-    end = time()
-    
-    # Print the results
-    print("Trained model in {:.4f} seconds".format(end - start))
-
-    
-def predict_labels(clf, features, target):
-    ''' Makes predictions using a fit classifier based on F1 score. '''
-    
-    # Start the clock, make predictions, then stop the clock
-    start = time()
-    y_pred = clf.predict(features)
-    end = time()
-    
-    # Print and return results
-    print("Made predictions in {:.4f} seconds.".format(end - start))
-    return f1_score(target.values, y_pred, pos_label='yes')
-
-
-def train_predict(clf, X_train, y_train, X_test, y_test):
-    ''' Train and predict using a classifer based on F1 score. '''
-    
-    # Indicate the classifier and the training set size
-    print("Training a {} using a training set size of {}. . .".format(clf.__class__.__name__, len(X_train)))
-    
-    # Train the classifier
-    train_classifier(clf, X_train, y_train)
-    
-    # Print the results of prediction for both training and testing
-    print("F1 score for training set: {:.4f}.".format(predict_labels(clf, X_train, y_train)))
-    print("F1 score for test set: {:.4f}.".format(predict_labels(clf, X_test, y_test)))
-
- -
-
-
- -
-
-
-
-
-

Implementation: Model Performance Metrics

With the predefined functions above, you will now import the three supervised learning models of your choice and run the train_predict function for each one. Remember that you will need to train and predict on each classifier for three different training set sizes: 100, 200, and 300. Hence, you should expect to have 9 different outputs below — 3 for each model using the varying training set sizes. In the following code cell, you will need to implement the following:

-
    -
  • Import the three supervised learning models you've discussed in the previous section.
  • -
  • Initialize the three models and store them in clf_A, clf_B, and clf_C.
      -
    • Use a random_state for each model you use, if provided.
    • -
    • Note: Use the default settings for each model — you will tune one specific model in a later section.
    • -
    -
  • -
  • Create the different training set sizes to be used to train each model.
      -
    • Do not reshuffle and resplit the data! The new training points should be drawn from X_train and y_train.
    • -
    -
  • -
  • Fit each model with each training set size and make predictions on the test set (9 in total).
    -Note: Three tables are provided after the following code cell which can be used to store your results.
  • -
- -
-
-
-
-
-
In [60]:
-
-
-
# TODO: Import the three supervised learning models from sklearn
-# from sklearn import model_A
-# from sklearn import model_B
-# from sklearn import model_C
-from sklearn.naive_bayes import GaussianNB
-from sklearn.tree import DecisionTreeClassifier
-from sklearn.ensemble import RandomForestClassifier
-
-# TODO: Initialize the three models
-clf_A = GaussianNB()
-clf_B = DecisionTreeClassifier(max_depth=None, random_state=None)
-clf_C = RandomForestClassifier(max_depth=None, random_state=None)
-
-# TODO: Set up the training set sizes
-X_train_100 = X_train[:100]
-y_train_100 = y_train[:100]
-
-X_train_200 = X_train[:200]
-y_train_200 = y_train[:200]
-
-X_train_300 = X_train[:300]
-y_train_300 = y_train[:300]
-
-X_samples = [X_train_100, X_train_200, X_train_300]
-y_samples = [y_train_100, y_train_200, y_train_300]
-# TODO: Execute the 'train_predict' function for each classifier and each training set size
-for clf in [clf_A, clf_B, clf_C]:
-    clf_name = clf.__class__.__name__
-    
-    for i, samples in enumerate(X_samples):
-        train_predict(clf, samples, y_samples[i], X_test, y_test)
-
-        
-#train_predict(clf, X_train, y_train, X_test, y_test)
-
- -
-
-
- -
-
- - -
- -
- - -
-
Training a GaussianNB using a training set size of 100. . .
-Trained model in 0.0012 seconds
-Made predictions in 0.0003 seconds.
-F1 score for training set: 0.8550.
-Made predictions in 0.0005 seconds.
-F1 score for test set: 0.7481.
-Training a GaussianNB using a training set size of 200. . .
-Trained model in 0.0008 seconds
-Made predictions in 0.0003 seconds.
-F1 score for training set: 0.8321.
-Made predictions in 0.0003 seconds.
-F1 score for test set: 0.7132.
-Training a GaussianNB using a training set size of 300. . .
-Trained model in 0.0011 seconds
-Made predictions in 0.0005 seconds.
-F1 score for training set: 0.8088.
-Made predictions in 0.0006 seconds.
-F1 score for test set: 0.7500.
-Training a DecisionTreeClassifier using a training set size of 100. . .
-Trained model in 0.0009 seconds
-Made predictions in 0.0002 seconds.
-F1 score for training set: 1.0000.
-Made predictions in 0.0006 seconds.
-F1 score for test set: 0.7009.
-Training a DecisionTreeClassifier using a training set size of 200. . .
-Trained model in 0.0012 seconds
-Made predictions in 0.0002 seconds.
-F1 score for training set: 1.0000.
-Made predictions in 0.0002 seconds.
-F1 score for test set: 0.7031.
-Training a DecisionTreeClassifier using a training set size of 300. . .
-Trained model in 0.0016 seconds
-Made predictions in 0.0002 seconds.
-F1 score for training set: 1.0000.
-Made predictions in 0.0002 seconds.
-F1 score for test set: 0.7167.
-Training a RandomForestClassifier using a training set size of 100. . .
-Trained model in 0.0086 seconds
-Made predictions in 0.0022 seconds.
-F1 score for training set: 0.9922.
-Made predictions in 0.0008 seconds.
-F1 score for test set: 0.6942.
-Training a RandomForestClassifier using a training set size of 200. . .
-Trained model in 0.0088 seconds
-Made predictions in 0.0009 seconds.
-F1 score for training set: 1.0000.
-Made predictions in 0.0007 seconds.
-F1 score for test set: 0.7368.
-Training a RandomForestClassifier using a training set size of 300. . .
-Trained model in 0.0090 seconds
-Made predictions in 0.0010 seconds.
-F1 score for training set: 0.9952.
-Made predictions in 0.0008 seconds.
-F1 score for test set: 0.7939.
-
-
-
- -
-
- -
-
-
-
-
-

Tabular Results

Edit the cell below to see how a table can be designed in Markdown. You can record your results from above in the tables provided.

- -
-
-
-
-
-
-
-

Classifer 1 - ?

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Training Set SizeTraining TimePrediction Time (test)F1 Score (train)F1 Score (test)
1000.00120.0030.85500.7481
2000.00080.00030.83210.71
3000.00110.00050.80880.7500
-

Classifer 2 - ?

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Training Set SizeTraining TimePrediction Time (test)F1 Score (train)F1 Score (test)
1000.00090.000610.7009
2000.00120.000210.7031
3000.00160.000210.7167
-

Classifer 3 - ?

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Training Set SizeTraining TimePrediction Time (test)F1 Score (train)F1 Score (test)
1000.00860.00080.99220.6942
2000.00880.000710.7368
3000.00900.00080.99520.7939
- -
-
-
-
-
-
-
-

Choosing the Best Model

In this final section, you will choose from the three supervised learning models the best model to use on the student data. You will then perform a grid search optimization for the model over the entire training set (X_train and y_train) by tuning at least one parameter to improve upon the untuned model's F1 score.

- -
-
-
-
-
-
-
-

Question 3 - Choosing the Best Model

Based on the experiments you performed earlier, in one to two paragraphs, explain to the board of supervisors what single model you chose as the best model. Which model is generally the most appropriate based on the available data, limited resources, cost, and performance?

- -
-
-
-
-
-
-
-

Answer:

-

Based on the results, I most definitely believe that a random forest model will be most appropriate for this task. When 100% of the training data is used, The F score for Random forest is higher (0.794) compared to other models (Decision trees - 0.716 and Gaussian Naive Bayes - 0.75). Based on these factors, random forest is better suited to make predictions. It performs fairly well and the training time and prediction times are on acceptable levels.

- -
-
-
-
-
-
-
-

Question 4 - Model in Layman's Terms

In one to two paragraphs, explain to the board of directors in layman's terms how the final model chosen is supposed to work. Be sure that you are describing the major qualities of the model, such as how the model is trained and how the model makes a prediction. Avoid using advanced mathematical or technical jargon, such as describing equations or discussing the algorithm implementation.

- -
-
-
-
-
-
-
-

Answer:

-

In order to understand how Random Forest works, we need to understand how a Decision Tree Classifier works.

-

A Decision Tree Classifier basically asks a series of Yes or No Questions, and based on the responses, it arrives at the final decision/result/outcome. It's basically like playing a game of 20 questions. Assuming that in this game the task is to predict what person/object are you thinking about, I start to ask a series of Yes/No type questions. Now, if the first question that I ask is - "are you thinking of a potato", that would be pretty much useless. Instead, if the question that I ask is "Is it a person", then that reveals much more information. This way, every question that I ask would be about maximizing the "Information Gain", each successfully bringing me closer and closer to the final prediction. The Decision Tree works exactly this way, using the features in the data-set to form its series of Yes/No questions.

-

A decision tree is prone to making mistakes, or overfitting. A random forest works by collecting the results of multiple decision tree classifiers and averaging their results. The majority vote of the collection of decision trees is considered to be the final prediciton.

- -
-
-
-
-
-
-
-

Implementation: Model Tuning

Fine tune the chosen model. Use grid search (GridSearchCV) with at least one important parameter tuned with at least 3 different values. You will need to use the entire training set for this. In the code cell below, you will need to implement the following:

-
    -
  • Import sklearn.grid_search.GridSearchCV and sklearn.metrics.make_scorer.
  • -
  • Create a dictionary of parameters you wish to tune for the chosen model.
      -
    • Example: parameters = {'parameter' : [list of values]}.
    • -
    -
  • -
  • Initialize the classifier you've chosen and store it in clf.
  • -
  • Create the F1 scoring function using make_scorer and store it in f1_scorer.
      -
    • Set the pos_label parameter to the correct value!
    • -
    -
  • -
  • Perform grid search on the classifier clf using f1_scorer as the scoring method, and store it in grid_obj.
  • -
  • Fit the grid search object to the training data (X_train, y_train), and store it in grid_obj.
  • -
- -
-
-
-
-
-
In [64]:
-
-
-
# TODO: Import 'GridSearchCV' and 'make_scorer'
-from sklearn.model_selection import GridSearchCV
-from sklearn.metrics import make_scorer
-
-# TODO: Create the parameters list you wish to tune
-parameters = {'n_estimators': [10, 20, 30], 'max_features':[3,4,5, None], 'max_depth': [5,6,7, None]}
-
-# TODO: Initialize the classifier
-clf = RandomForestClassifier(max_depth=None, random_state=None)
-
-# TODO: Make an f1 scoring function using 'make_scorer' 
-f1_scorer = make_scorer(f1_score, average="micro")
-
-# TODO: Perform grid search on the classifier using the f1_scorer as the scoring method
-grid_obj = GridSearchCV(clf, parameters, scoring=f1_scorer)
-
-# TODO: Fit the grid search object to the training data and find the optimal parameters
-grid_obj = grid_obj.fit(X_train, y_train)
-
-# Get the estimator
-clf = grid_obj.best_estimator_
-
-# Report the final F1 score for training and testing after parameter tuning
-print("Tuned model has a training F1 score of {:.4f}.".format(predict_labels(clf, X_train, y_train)))
-print("Tuned model has a testing F1 score of {:.4f}.".format(predict_labels(clf, X_test, y_test)))
-
- -
-
-
- -
-
- - -
- -
- - -
-
Made predictions in 0.0017 seconds.
-Tuned model has a training F1 score of 0.9067.
-Made predictions in 0.0013 seconds.
-Tuned model has a testing F1 score of 0.8058.
-
-
-
- -
-
- -
-
-
-
-
-

Question 5 - Final F1 Score

What is the final model's F1 score for training and testing? How does that score compare to the untuned model?

- -
-
-
-
-
-
-
-

Answer:

-

As it turns out, the final model's performance has infact slightly increased, though not by a huge margin. The final model's F1 score is 80.5%.

- -
-
-
-
-
-
-
-

Note: Once you have completed all of the code implementations and successfully answered each question above, you may finalize your work by exporting the iPython Notebook as an HTML document. You can do this by using the menu above and navigating to
-File -> Download as -> HTML (.html). Include the finished document along with this notebook as your submission.

-
- -
-
-
-
-
- - - - - - diff --git a/student_intervention/student-data.csv b/student_intervention/student-data.csv deleted file mode 100755 index 63a3db5..0000000 --- a/student_intervention/student-data.csv +++ /dev/null @@ -1,396 +0,0 @@ -school,sex,age,address,famsize,Pstatus,Medu,Fedu,Mjob,Fjob,reason,guardian,traveltime,studytime,failures,schoolsup,famsup,paid,activities,nursery,higher,internet,romantic,famrel,freetime,goout,Dalc,Walc,health,absences,passed -GP,F,18,U,GT3,A,4,4,at_home,teacher,course,mother,2,2,0,yes,no,no,no,yes,yes,no,no,4,3,4,1,1,3,6,no -GP,F,17,U,GT3,T,1,1,at_home,other,course,father,1,2,0,no,yes,no,no,no,yes,yes,no,5,3,3,1,1,3,4,no -GP,F,15,U,LE3,T,1,1,at_home,other,other,mother,1,2,3,yes,no,yes,no,yes,yes,yes,no,4,3,2,2,3,3,10,yes -GP,F,15,U,GT3,T,4,2,health,services,home,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,yes,3,2,2,1,1,5,2,yes -GP,F,16,U,GT3,T,3,3,other,other,home,father,1,2,0,no,yes,yes,no,yes,yes,no,no,4,3,2,1,2,5,4,yes -GP,M,16,U,LE3,T,4,3,services,other,reputation,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,no,5,4,2,1,2,5,10,yes -GP,M,16,U,LE3,T,2,2,other,other,home,mother,1,2,0,no,no,no,no,yes,yes,yes,no,4,4,4,1,1,3,0,yes -GP,F,17,U,GT3,A,4,4,other,teacher,home,mother,2,2,0,yes,yes,no,no,yes,yes,no,no,4,1,4,1,1,1,6,no -GP,M,15,U,LE3,A,3,2,services,other,home,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,4,2,2,1,1,1,0,yes -GP,M,15,U,GT3,T,3,4,other,other,home,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,no,5,5,1,1,1,5,0,yes -GP,F,15,U,GT3,T,4,4,teacher,health,reputation,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,3,3,3,1,2,2,0,no -GP,F,15,U,GT3,T,2,1,services,other,reputation,father,3,3,0,no,yes,no,yes,yes,yes,yes,no,5,2,2,1,1,4,4,yes -GP,M,15,U,LE3,T,4,4,health,services,course,father,1,1,0,no,yes,yes,yes,yes,yes,yes,no,4,3,3,1,3,5,2,yes -GP,M,15,U,GT3,T,4,3,teacher,other,course,mother,2,2,0,no,yes,yes,no,yes,yes,yes,no,5,4,3,1,2,3,2,yes -GP,M,15,U,GT3,A,2,2,other,other,home,other,1,3,0,no,yes,no,no,yes,yes,yes,yes,4,5,2,1,1,3,0,yes -GP,F,16,U,GT3,T,4,4,health,other,home,mother,1,1,0,no,yes,no,no,yes,yes,yes,no,4,4,4,1,2,2,4,yes -GP,F,16,U,GT3,T,4,4,services,services,reputation,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,no,3,2,3,1,2,2,6,yes -GP,F,16,U,GT3,T,3,3,other,other,reputation,mother,3,2,0,yes,yes,no,yes,yes,yes,no,no,5,3,2,1,1,4,4,yes -GP,M,17,U,GT3,T,3,2,services,services,course,mother,1,1,3,no,yes,no,yes,yes,yes,yes,no,5,5,5,2,4,5,16,no -GP,M,16,U,LE3,T,4,3,health,other,home,father,1,1,0,no,no,yes,yes,yes,yes,yes,no,3,1,3,1,3,5,4,yes -GP,M,15,U,GT3,T,4,3,teacher,other,reputation,mother,1,2,0,no,no,no,no,yes,yes,yes,no,4,4,1,1,1,1,0,yes -GP,M,15,U,GT3,T,4,4,health,health,other,father,1,1,0,no,yes,yes,no,yes,yes,yes,no,5,4,2,1,1,5,0,yes -GP,M,16,U,LE3,T,4,2,teacher,other,course,mother,1,2,0,no,no,no,yes,yes,yes,yes,no,4,5,1,1,3,5,2,yes -GP,M,16,U,LE3,T,2,2,other,other,reputation,mother,2,2,0,no,yes,no,yes,yes,yes,yes,no,5,4,4,2,4,5,0,yes -GP,F,15,R,GT3,T,2,4,services,health,course,mother,1,3,0,yes,yes,yes,yes,yes,yes,yes,no,4,3,2,1,1,5,2,no -GP,F,16,U,GT3,T,2,2,services,services,home,mother,1,1,2,no,yes,yes,no,no,yes,yes,no,1,2,2,1,3,5,14,no -GP,M,15,U,GT3,T,2,2,other,other,home,mother,1,1,0,no,yes,yes,no,yes,yes,yes,no,4,2,2,1,2,5,2,yes -GP,M,15,U,GT3,T,4,2,health,services,other,mother,1,1,0,no,no,yes,no,yes,yes,yes,no,2,2,4,2,4,1,4,yes -GP,M,16,U,LE3,A,3,4,services,other,home,mother,1,2,0,yes,yes,no,yes,yes,yes,yes,no,5,3,3,1,1,5,4,yes -GP,M,16,U,GT3,T,4,4,teacher,teacher,home,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,yes,4,4,5,5,5,5,16,yes -GP,M,15,U,GT3,T,4,4,health,services,home,mother,1,2,0,no,yes,yes,no,no,yes,yes,no,5,4,2,3,4,5,0,yes -GP,M,15,U,GT3,T,4,4,services,services,reputation,mother,2,2,0,no,yes,no,yes,yes,yes,yes,no,4,3,1,1,1,5,0,yes -GP,M,15,R,GT3,T,4,3,teacher,at_home,course,mother,1,2,0,no,yes,no,yes,yes,yes,yes,yes,4,5,2,1,1,5,0,yes -GP,M,15,U,LE3,T,3,3,other,other,course,mother,1,2,0,no,no,no,yes,no,yes,yes,no,5,3,2,1,1,2,0,yes -GP,M,16,U,GT3,T,3,2,other,other,home,mother,1,1,0,no,yes,yes,no,no,yes,yes,no,5,4,3,1,1,5,0,yes -GP,F,15,U,GT3,T,2,3,other,other,other,father,2,1,0,no,yes,no,yes,yes,yes,no,no,3,5,1,1,1,5,0,no -GP,M,15,U,LE3,T,4,3,teacher,services,home,mother,1,3,0,no,yes,no,yes,yes,yes,yes,no,5,4,3,1,1,4,2,yes -GP,M,16,R,GT3,A,4,4,other,teacher,reputation,mother,2,3,0,no,yes,no,yes,yes,yes,yes,yes,2,4,3,1,1,5,7,yes -GP,F,15,R,GT3,T,3,4,services,health,course,mother,1,3,0,yes,yes,yes,yes,yes,yes,yes,no,4,3,2,1,1,5,2,yes -GP,F,15,R,GT3,T,2,2,at_home,other,reputation,mother,1,1,0,yes,yes,yes,yes,yes,yes,no,no,4,3,1,1,1,2,8,yes -GP,F,16,U,LE3,T,2,2,other,other,home,mother,2,2,1,no,yes,no,yes,no,yes,yes,yes,3,3,3,1,2,3,25,yes -GP,M,15,U,LE3,T,4,4,teacher,other,home,other,1,1,0,no,yes,no,no,no,yes,yes,yes,5,4,3,2,4,5,8,yes -GP,M,15,U,GT3,T,4,4,services,teacher,course,father,1,2,0,no,yes,no,yes,yes,yes,yes,no,4,3,3,1,1,5,2,yes -GP,M,15,U,GT3,T,2,2,services,services,course,father,1,1,0,yes,yes,no,no,yes,yes,yes,no,5,4,1,1,1,1,0,yes -GP,F,16,U,LE3,T,2,2,other,at_home,course,father,2,2,1,yes,no,no,yes,yes,yes,yes,no,4,3,3,2,2,5,14,no -GP,F,15,U,LE3,A,4,3,other,other,course,mother,1,2,0,yes,yes,yes,yes,yes,yes,yes,yes,5,2,2,1,1,5,8,no -GP,F,16,U,LE3,A,3,3,other,services,home,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,2,3,5,1,4,3,12,yes -GP,M,16,U,GT3,T,4,3,health,services,reputation,mother,1,4,0,no,no,no,yes,yes,yes,yes,no,4,2,2,1,1,2,4,yes -GP,M,15,U,GT3,T,4,2,teacher,other,home,mother,1,2,0,no,yes,yes,no,yes,yes,no,no,4,3,3,2,2,5,2,yes -GP,F,15,U,GT3,T,4,4,services,teacher,other,father,1,2,1,yes,yes,no,yes,no,yes,yes,no,4,4,4,1,1,3,2,no -GP,F,16,U,LE3,T,2,2,services,services,course,mother,3,2,0,no,yes,yes,no,yes,yes,yes,no,4,3,3,2,3,4,2,yes -GP,F,15,U,LE3,T,4,2,health,other,other,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,4,3,3,1,1,5,2,yes -GP,M,15,U,LE3,A,4,2,health,health,other,father,2,1,1,no,no,no,no,yes,yes,no,no,5,5,5,3,4,5,6,yes -GP,F,15,U,GT3,T,4,4,services,services,course,mother,1,1,0,yes,yes,yes,no,yes,yes,yes,no,3,3,4,2,3,5,0,yes -GP,F,15,U,LE3,A,3,3,other,other,other,mother,1,1,0,no,no,yes,no,yes,yes,yes,no,5,3,4,4,4,1,6,yes -GP,F,16,U,GT3,A,2,1,other,other,other,mother,1,2,0,no,no,yes,yes,yes,yes,yes,yes,5,3,4,1,1,2,8,yes -GP,F,15,U,GT3,A,4,3,services,services,reputation,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,no,4,3,2,1,1,1,0,yes -GP,M,15,U,GT3,T,4,4,teacher,health,reputation,mother,1,2,0,no,yes,no,yes,yes,yes,no,no,3,2,2,1,1,5,4,yes -GP,M,15,U,LE3,T,1,2,other,at_home,home,father,1,2,0,yes,yes,no,yes,yes,yes,yes,no,4,3,2,1,1,5,2,no -GP,F,16,U,GT3,T,4,2,services,other,course,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,4,2,3,1,1,5,2,yes -GP,F,16,R,GT3,T,4,4,health,teacher,other,mother,1,2,0,no,yes,no,yes,yes,yes,no,no,2,4,4,2,3,4,6,yes -GP,F,16,U,GT3,T,1,1,services,services,course,father,4,1,0,yes,yes,no,yes,no,yes,yes,yes,5,5,5,5,5,5,6,yes -GP,F,16,U,LE3,T,1,2,other,services,reputation,father,1,2,0,yes,no,no,yes,yes,yes,yes,no,4,4,3,1,1,1,4,no -GP,F,16,U,GT3,T,4,3,teacher,health,home,mother,1,3,0,yes,yes,yes,yes,yes,yes,yes,no,3,4,4,2,4,4,2,no -GP,F,15,U,LE3,T,4,3,services,services,reputation,father,1,2,0,yes,no,no,yes,yes,yes,yes,yes,4,4,4,2,4,2,0,yes -GP,F,16,U,LE3,T,4,3,teacher,services,course,mother,3,2,0,no,yes,no,yes,yes,yes,yes,no,5,4,3,1,2,1,2,yes -GP,M,15,U,GT3,A,4,4,other,services,reputation,mother,1,4,0,no,yes,no,yes,no,yes,yes,yes,1,3,3,5,5,3,4,yes -GP,F,16,U,GT3,T,3,1,services,other,course,mother,1,4,0,yes,yes,yes,no,yes,yes,yes,no,4,3,3,1,2,5,4,no -GP,F,15,R,LE3,T,2,2,health,services,reputation,mother,2,2,0,yes,yes,yes,no,yes,yes,yes,no,4,1,3,1,3,4,2,no -GP,F,15,R,LE3,T,3,1,other,other,reputation,father,2,4,0,no,yes,no,no,no,yes,yes,no,4,4,2,2,3,3,12,yes -GP,M,16,U,GT3,T,3,1,other,other,reputation,father,2,4,0,no,yes,yes,no,yes,yes,yes,no,4,3,2,1,1,5,0,yes -GP,M,15,U,GT3,T,4,2,other,other,course,mother,1,4,0,no,no,no,no,yes,yes,yes,no,3,3,3,1,1,3,0,yes -GP,F,15,R,GT3,T,1,1,other,other,reputation,mother,1,2,2,yes,yes,no,no,no,yes,yes,yes,3,3,4,2,4,5,2,no -GP,M,16,U,GT3,T,3,1,other,other,reputation,mother,1,1,0,no,no,no,yes,yes,yes,no,no,5,3,2,2,2,5,2,yes -GP,F,16,U,GT3,T,3,3,other,services,home,mother,1,2,0,yes,yes,yes,yes,yes,yes,yes,no,4,3,3,2,4,5,54,yes -GP,M,15,U,GT3,T,4,3,teacher,other,home,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,no,4,3,3,2,3,5,6,yes -GP,M,15,U,GT3,T,4,0,teacher,other,course,mother,2,4,0,no,no,no,yes,yes,yes,yes,no,3,4,3,1,1,1,8,yes -GP,F,16,U,GT3,T,2,2,other,other,reputation,mother,1,4,0,no,no,yes,no,yes,yes,yes,yes,5,2,3,1,3,3,0,yes -GP,M,17,U,GT3,T,2,1,other,other,home,mother,2,1,3,yes,yes,no,yes,yes,no,yes,no,4,5,1,1,1,3,2,yes -GP,F,16,U,GT3,T,3,4,at_home,other,course,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,2,4,3,1,2,3,12,no -GP,M,15,U,GT3,T,2,3,other,services,course,father,1,1,0,yes,yes,yes,yes,no,yes,yes,yes,3,2,2,1,3,3,2,yes -GP,M,15,U,GT3,T,2,3,other,other,home,mother,1,3,0,yes,no,yes,no,no,yes,yes,no,5,3,2,1,2,5,4,yes -GP,F,15,U,LE3,T,3,2,services,other,reputation,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,4,4,4,1,1,5,10,no -GP,M,15,U,LE3,T,2,2,services,services,home,mother,2,2,0,no,no,yes,yes,yes,yes,yes,no,5,3,3,1,3,4,4,yes -GP,F,15,U,GT3,T,1,1,other,other,home,father,1,2,0,no,yes,no,yes,no,yes,yes,no,4,3,2,2,3,4,2,yes -GP,F,15,U,GT3,T,4,4,services,services,reputation,father,2,2,2,no,no,yes,no,yes,yes,yes,yes,4,4,4,2,3,5,6,no -GP,F,16,U,LE3,T,2,2,at_home,other,course,mother,1,2,0,no,yes,no,no,yes,yes,no,no,4,3,4,1,2,2,4,no -GP,F,15,U,GT3,T,4,2,other,other,reputation,mother,1,3,0,no,yes,no,yes,yes,yes,yes,no,5,3,3,1,3,1,4,yes -GP,M,16,U,GT3,T,2,2,services,other,reputation,father,2,2,1,no,no,yes,yes,no,yes,yes,no,4,4,2,1,1,3,12,yes -GP,M,16,U,LE3,A,4,4,teacher,health,reputation,mother,1,2,0,no,yes,no,no,yes,yes,no,no,4,1,3,3,5,5,18,no -GP,F,16,U,GT3,T,3,3,other,other,home,mother,1,3,0,no,yes,yes,no,yes,yes,yes,yes,4,3,3,1,3,4,0,no -GP,F,15,U,GT3,T,4,3,services,other,reputation,mother,1,1,0,no,no,yes,yes,yes,yes,yes,no,4,5,5,1,3,1,4,yes -GP,F,16,U,LE3,T,3,1,other,other,home,father,1,2,0,yes,yes,no,no,yes,yes,no,no,3,3,3,2,3,2,4,no -GP,F,16,U,GT3,T,4,2,teacher,services,home,mother,2,2,0,no,yes,yes,yes,yes,yes,yes,no,5,3,3,1,1,1,0,yes -GP,M,15,U,LE3,T,2,2,services,health,reputation,mother,1,4,0,no,yes,no,yes,yes,yes,yes,no,4,3,4,1,1,4,6,yes -GP,F,15,R,GT3,T,1,1,at_home,other,home,mother,2,4,1,yes,yes,yes,yes,yes,yes,yes,no,3,1,2,1,1,1,2,yes -GP,M,16,R,GT3,T,4,3,services,other,reputation,mother,2,1,0,yes,yes,no,yes,no,yes,yes,no,3,3,3,1,1,4,2,yes -GP,F,16,U,GT3,T,2,1,other,other,course,mother,1,2,0,no,yes,yes,no,yes,yes,no,yes,4,3,5,1,1,5,2,yes -GP,F,16,U,GT3,T,4,4,other,other,reputation,mother,1,1,0,no,no,no,yes,no,yes,yes,no,5,3,4,1,2,1,6,yes -GP,F,16,U,GT3,T,4,3,other,at_home,course,mother,1,3,0,yes,yes,yes,no,yes,yes,yes,no,5,3,5,1,1,3,0,no -GP,M,16,U,GT3,T,4,4,services,services,other,mother,1,1,0,yes,yes,yes,yes,yes,yes,yes,no,4,5,5,5,5,4,14,no -GP,M,16,U,GT3,T,4,4,services,teacher,other,father,1,3,0,no,yes,no,yes,yes,yes,yes,yes,4,4,3,1,1,4,0,yes -GP,M,15,U,GT3,T,4,4,services,other,course,mother,1,1,0,no,yes,no,yes,no,yes,yes,no,5,3,3,1,1,5,4,yes -GP,F,15,U,GT3,T,3,2,services,other,home,mother,2,2,0,yes,yes,yes,no,yes,yes,yes,no,4,3,5,1,1,2,26,no -GP,M,15,U,GT3,A,3,4,services,other,course,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,no,5,4,4,1,1,1,0,yes -GP,F,15,U,GT3,A,3,3,other,health,reputation,father,1,4,0,yes,no,no,no,yes,yes,no,no,4,3,3,1,1,4,10,yes -GP,F,15,U,GT3,T,2,2,other,other,course,mother,1,4,0,yes,yes,yes,no,yes,yes,yes,no,5,1,2,1,1,3,8,no -GP,M,16,U,GT3,T,3,3,services,other,home,father,1,3,0,no,yes,no,yes,yes,yes,yes,no,5,3,3,1,1,5,2,yes -GP,M,15,R,GT3,T,4,4,other,other,home,father,4,4,0,no,yes,yes,yes,yes,yes,yes,yes,1,3,5,3,5,1,6,yes -GP,F,16,U,LE3,T,4,4,health,health,other,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,yes,5,4,5,1,1,4,4,yes -GP,M,15,U,LE3,A,4,4,teacher,teacher,course,mother,1,1,0,no,no,no,yes,yes,yes,yes,no,5,5,3,1,1,4,6,yes -GP,F,16,R,GT3,T,3,3,services,other,reputation,father,1,3,1,yes,yes,no,yes,yes,yes,yes,no,4,1,2,1,1,2,0,yes -GP,F,16,U,GT3,T,2,2,at_home,other,home,mother,1,2,1,yes,no,no,yes,yes,yes,yes,no,3,1,2,1,1,5,6,yes -GP,M,15,U,LE3,T,4,2,teacher,other,course,mother,1,1,0,no,no,no,no,yes,yes,yes,no,3,5,2,1,1,3,10,yes -GP,M,15,R,GT3,T,2,1,health,services,reputation,mother,1,2,0,no,no,no,yes,yes,yes,yes,yes,5,4,2,1,1,5,8,no -GP,M,16,U,GT3,T,4,4,teacher,teacher,course,father,1,2,0,no,yes,no,yes,yes,yes,yes,no,5,4,4,1,2,5,2,yes -GP,M,15,U,GT3,T,4,4,other,teacher,reputation,father,2,2,0,no,yes,no,yes,yes,yes,no,no,4,4,3,1,1,2,2,yes -GP,M,16,U,GT3,T,3,3,other,services,home,father,2,1,0,no,no,no,yes,yes,yes,yes,no,5,4,2,1,1,5,0,yes -GP,M,17,R,GT3,T,1,3,other,other,course,father,3,2,1,no,yes,no,yes,yes,yes,yes,no,5,2,4,1,4,5,20,no -GP,M,15,U,GT3,T,3,4,other,other,reputation,father,1,1,0,no,no,no,no,yes,yes,yes,no,3,4,3,1,2,4,6,yes -GP,F,15,U,GT3,T,1,2,at_home,services,course,mother,1,2,0,no,no,no,no,no,yes,yes,no,3,2,3,1,2,1,2,yes -GP,M,15,U,GT3,T,2,2,services,services,home,father,1,4,0,no,yes,yes,yes,yes,yes,yes,no,5,5,4,1,2,5,6,yes -GP,F,16,U,LE3,T,2,4,other,health,course,father,2,2,0,no,yes,yes,yes,yes,yes,yes,yes,4,2,2,1,2,5,2,yes -GP,M,16,U,GT3,T,4,4,health,other,course,mother,1,1,0,no,yes,no,yes,yes,yes,yes,no,3,4,4,1,4,5,18,yes -GP,F,16,U,GT3,T,2,2,other,other,home,mother,1,2,0,no,no,yes,no,yes,yes,yes,yes,5,4,4,1,1,5,0,no -GP,M,15,U,GT3,T,3,4,services,services,home,father,1,1,0,yes,no,no,no,yes,yes,yes,no,5,5,5,3,2,5,0,yes -GP,F,15,U,LE3,A,3,4,other,other,home,mother,1,2,0,yes,no,no,yes,yes,yes,yes,yes,5,3,2,1,1,1,0,yes -GP,F,19,U,GT3,T,0,1,at_home,other,course,other,1,2,3,no,yes,no,no,no,no,no,no,3,4,2,1,1,5,2,no -GP,M,18,R,GT3,T,2,2,services,other,reputation,mother,1,1,2,no,yes,no,yes,yes,yes,yes,no,3,3,3,1,2,4,0,no -GP,M,16,R,GT3,T,4,4,teacher,teacher,course,mother,1,1,0,no,no,yes,yes,yes,yes,yes,no,3,5,5,2,5,4,8,yes -GP,F,15,R,GT3,T,3,4,services,teacher,course,father,2,3,2,no,yes,no,no,yes,yes,yes,yes,4,2,2,2,2,5,0,no -GP,F,15,U,GT3,T,1,1,at_home,other,course,mother,3,1,0,no,yes,no,yes,no,yes,yes,yes,4,3,3,1,2,4,0,no -GP,F,17,U,LE3,T,2,2,other,other,course,father,1,1,0,no,yes,no,no,yes,yes,yes,yes,3,4,4,1,3,5,12,yes -GP,F,16,U,GT3,A,3,4,services,other,course,father,1,1,0,no,no,no,no,yes,yes,yes,no,3,2,1,1,4,5,16,yes -GP,M,15,R,GT3,T,3,4,at_home,teacher,course,mother,4,2,0,no,yes,no,no,yes,yes,no,yes,5,3,3,1,1,5,0,no -GP,F,15,U,GT3,T,4,4,services,at_home,course,mother,1,3,0,no,yes,no,yes,yes,yes,yes,yes,4,3,3,1,1,5,0,no -GP,M,17,R,GT3,T,3,4,at_home,other,course,mother,3,2,0,no,no,no,no,yes,yes,no,no,5,4,5,2,4,5,0,no -GP,F,16,U,GT3,A,3,3,other,other,course,other,2,1,2,no,yes,no,yes,no,yes,yes,yes,4,3,2,1,1,5,0,no -GP,M,16,U,LE3,T,1,1,services,other,course,mother,1,2,1,no,no,no,no,yes,yes,no,yes,4,4,4,1,3,5,0,yes -GP,F,15,U,GT3,T,4,4,teacher,teacher,course,mother,2,1,0,no,no,no,yes,yes,yes,yes,no,4,3,2,1,1,5,0,yes -GP,M,15,U,GT3,T,4,3,teacher,services,course,father,2,4,0,yes,yes,no,no,yes,yes,yes,no,2,2,2,1,1,3,0,no -GP,M,16,U,LE3,T,2,2,services,services,reputation,father,2,1,2,no,yes,no,yes,yes,yes,yes,no,2,3,3,2,2,2,8,no -GP,F,15,U,GT3,T,4,4,teacher,services,course,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,no,4,2,2,1,1,5,2,yes -GP,F,16,U,LE3,T,1,1,at_home,at_home,course,mother,1,1,0,no,no,no,no,yes,yes,yes,no,3,4,4,3,3,1,2,yes -GP,M,17,U,GT3,T,2,1,other,other,home,mother,1,1,3,no,yes,no,no,yes,yes,yes,no,5,4,5,1,2,5,0,no -GP,F,15,U,GT3,T,1,1,other,services,course,father,1,2,0,no,yes,yes,no,yes,yes,yes,no,4,4,2,1,2,5,0,yes -GP,F,15,U,GT3,T,3,2,health,services,home,father,1,2,3,no,yes,no,no,yes,yes,yes,no,3,3,2,1,1,3,0,no -GP,F,15,U,GT3,T,1,2,at_home,other,course,mother,1,2,0,no,yes,yes,no,no,yes,yes,no,4,3,2,1,1,5,2,yes -GP,M,16,U,GT3,T,4,4,teacher,teacher,course,mother,1,1,0,no,yes,no,no,yes,no,yes,yes,3,3,2,2,1,5,0,no -GP,M,15,U,LE3,A,2,1,services,other,course,mother,4,1,3,no,no,no,no,yes,yes,yes,no,4,5,5,2,5,5,0,yes -GP,M,18,U,LE3,T,1,1,other,other,course,mother,1,1,3,no,no,no,no,yes,no,yes,yes,2,3,5,2,5,4,0,no -GP,M,16,U,LE3,T,2,1,at_home,other,course,mother,1,1,1,no,no,no,yes,yes,yes,no,yes,4,4,4,3,5,5,6,yes -GP,F,15,R,GT3,T,3,3,services,services,reputation,other,2,3,2,no,yes,yes,yes,yes,yes,yes,yes,4,2,1,2,3,3,8,yes -GP,M,19,U,GT3,T,3,2,services,at_home,home,mother,1,1,3,no,yes,no,no,yes,no,yes,yes,4,5,4,1,1,4,0,no -GP,F,17,U,GT3,T,4,4,other,teacher,course,mother,1,1,0,yes,yes,no,no,yes,yes,no,yes,4,2,1,1,1,4,0,yes -GP,M,15,R,GT3,T,2,3,at_home,services,course,mother,1,2,0,yes,no,yes,yes,yes,yes,no,no,4,4,4,1,1,1,2,no -GP,M,17,R,LE3,T,1,2,other,other,reputation,mother,1,1,0,no,no,no,no,yes,yes,no,no,2,2,2,3,3,5,8,yes -GP,F,18,R,GT3,T,1,1,at_home,other,course,mother,3,1,3,no,yes,no,yes,no,yes,no,no,5,2,5,1,5,4,6,yes -GP,M,16,R,GT3,T,2,2,at_home,other,course,mother,3,1,0,no,no,no,no,no,yes,no,no,4,2,2,1,2,3,2,yes -GP,M,16,U,GT3,T,3,3,other,services,course,father,1,2,1,no,yes,yes,no,yes,yes,yes,yes,4,5,5,4,4,5,4,yes -GP,M,17,R,LE3,T,2,1,at_home,other,course,mother,2,1,2,no,no,no,yes,yes,no,yes,yes,3,3,2,2,2,5,0,no -GP,M,15,R,GT3,T,3,2,other,other,course,mother,2,2,2,yes,yes,no,no,yes,yes,yes,yes,4,4,4,1,4,3,6,no -GP,M,16,U,LE3,T,1,2,other,other,course,mother,2,1,1,no,no,no,yes,yes,yes,no,no,4,4,4,2,4,5,0,no -GP,M,17,U,GT3,T,1,3,at_home,services,course,father,1,1,0,no,no,no,no,yes,no,yes,no,5,3,3,1,4,2,2,yes -GP,M,17,R,LE3,T,1,1,other,services,course,mother,4,2,3,no,no,no,yes,yes,no,no,yes,5,3,5,1,5,5,0,no -GP,M,16,U,GT3,T,3,2,services,services,course,mother,2,1,1,no,yes,no,yes,no,no,no,no,4,5,2,1,1,2,16,yes -GP,M,16,U,GT3,T,2,2,other,other,course,father,1,2,0,no,no,no,no,yes,no,yes,no,4,3,5,2,4,4,4,yes -GP,F,16,U,GT3,T,4,2,health,services,home,father,1,2,0,no,no,yes,no,yes,yes,yes,yes,4,2,3,1,1,3,0,yes -GP,F,16,U,GT3,T,2,2,other,other,home,mother,1,2,0,no,yes,yes,no,no,yes,yes,no,5,1,5,1,1,4,0,no -GP,F,16,U,GT3,T,4,4,health,health,reputation,mother,1,2,0,no,yes,yes,no,yes,yes,yes,yes,4,4,2,1,1,3,0,yes -GP,M,16,U,GT3,T,3,4,other,other,course,father,3,1,2,no,yes,no,yes,no,yes,yes,no,3,4,5,2,4,2,0,no -GP,M,16,U,GT3,T,1,0,other,other,reputation,mother,2,2,0,no,yes,yes,yes,yes,yes,yes,yes,4,3,2,1,1,3,2,yes -GP,M,17,U,LE3,T,4,4,teacher,other,reputation,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,no,4,4,4,1,3,5,0,yes -GP,F,16,U,GT3,T,1,3,at_home,services,home,mother,1,2,3,no,no,no,yes,no,yes,yes,yes,4,3,5,1,1,3,0,no -GP,F,16,U,LE3,T,3,3,other,other,reputation,mother,2,2,0,no,yes,yes,yes,yes,yes,yes,no,4,4,5,1,1,4,4,no -GP,M,17,U,LE3,T,4,3,teacher,other,course,mother,2,2,0,no,no,yes,yes,yes,yes,yes,no,4,4,4,4,4,4,4,no -GP,F,16,U,GT3,T,2,2,services,other,reputation,mother,2,2,0,no,no,yes,yes,no,yes,yes,no,3,4,4,1,4,5,2,yes -GP,M,17,U,GT3,T,3,3,other,other,reputation,father,1,2,0,no,no,no,yes,no,yes,yes,no,4,3,4,1,4,4,4,no -GP,M,16,R,GT3,T,4,2,teacher,services,other,mother,1,1,0,no,yes,no,yes,yes,yes,yes,yes,4,3,3,3,4,3,10,no -GP,M,17,U,GT3,T,4,3,other,other,course,mother,1,2,0,no,yes,no,yes,yes,yes,yes,yes,5,2,3,1,1,2,4,yes -GP,M,16,U,GT3,T,4,3,teacher,other,home,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,no,3,4,3,2,3,3,10,no -GP,M,16,U,GT3,T,3,3,services,other,home,mother,1,2,0,no,no,yes,yes,yes,yes,yes,yes,4,2,3,1,2,3,2,yes -GP,F,17,U,GT3,T,2,4,services,services,reputation,father,1,2,0,no,yes,no,yes,yes,yes,no,no,5,4,2,2,3,5,0,yes -GP,F,17,U,LE3,T,3,3,other,other,reputation,mother,1,2,0,no,yes,no,yes,yes,yes,yes,yes,5,3,3,2,3,1,56,no -GP,F,16,U,GT3,T,3,2,other,other,reputation,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,1,2,2,1,2,1,14,yes -GP,M,17,U,GT3,T,3,3,services,services,other,mother,1,2,0,no,yes,no,yes,yes,yes,yes,yes,4,3,4,2,3,4,12,yes -GP,M,16,U,GT3,T,1,2,services,services,other,mother,1,1,0,no,yes,yes,yes,yes,yes,yes,yes,3,3,3,1,2,3,2,yes -GP,M,16,U,LE3,T,2,1,other,other,course,mother,1,2,0,no,no,yes,yes,yes,yes,yes,yes,4,2,3,1,2,5,0,yes -GP,F,17,U,GT3,A,3,3,health,other,reputation,mother,1,2,0,no,yes,no,no,no,yes,yes,yes,3,3,3,1,3,3,6,no -GP,M,17,R,GT3,T,1,2,at_home,other,home,mother,1,2,0,no,no,no,no,yes,yes,no,no,3,1,3,1,5,3,4,yes -GP,F,16,U,GT3,T,2,3,services,services,course,mother,1,2,0,no,no,no,no,yes,yes,yes,no,4,3,3,1,1,2,10,yes -GP,F,17,U,GT3,T,1,1,at_home,services,course,mother,1,2,0,no,no,no,yes,yes,yes,yes,no,5,3,3,1,1,3,0,no -GP,M,17,U,GT3,T,1,2,at_home,services,other,other,2,2,0,no,no,yes,yes,no,yes,yes,no,4,4,4,4,5,5,12,no -GP,M,16,R,GT3,T,3,3,services,services,reputation,mother,1,1,0,no,yes,no,yes,yes,yes,yes,no,4,3,2,3,4,5,8,yes -GP,M,16,U,GT3,T,2,3,other,other,home,father,2,1,0,no,no,no,no,yes,yes,yes,no,5,3,3,1,1,3,0,yes -GP,F,17,U,LE3,T,2,4,services,services,course,father,1,2,0,no,no,no,yes,yes,yes,yes,yes,4,3,2,1,1,5,0,yes -GP,M,17,U,GT3,T,4,4,services,teacher,home,mother,1,1,0,no,no,no,no,yes,yes,yes,no,5,2,3,1,2,5,4,yes -GP,M,16,R,LE3,T,3,3,teacher,other,home,father,3,1,0,no,yes,yes,yes,yes,yes,yes,no,3,3,4,3,5,3,8,yes -GP,F,17,U,GT3,T,4,4,services,teacher,home,mother,2,1,1,no,yes,no,no,yes,yes,yes,no,4,2,4,2,3,2,24,yes -GP,F,16,U,LE3,T,4,4,teacher,teacher,reputation,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,4,5,2,1,2,3,0,yes -GP,F,16,U,GT3,T,4,3,health,other,home,mother,1,2,0,no,yes,no,yes,yes,yes,yes,no,4,3,5,1,5,2,2,yes -GP,F,16,U,GT3,T,2,3,other,other,reputation,mother,1,2,0,yes,yes,yes,yes,yes,yes,no,no,4,4,3,1,3,4,6,yes -GP,F,17,U,GT3,T,1,1,other,other,course,mother,1,2,0,no,yes,yes,no,no,yes,no,no,4,4,4,1,3,1,4,yes -GP,F,17,R,GT3,T,2,2,other,other,reputation,mother,1,1,0,no,yes,no,no,yes,yes,yes,no,5,3,2,1,2,3,18,no -GP,F,16,R,GT3,T,2,2,services,services,reputation,mother,2,4,0,no,yes,yes,yes,no,yes,yes,no,5,3,5,1,1,5,6,yes -GP,F,17,U,GT3,T,3,4,at_home,services,home,mother,1,3,1,no,yes,yes,no,yes,yes,yes,yes,4,4,3,3,4,5,28,no -GP,F,16,U,GT3,A,3,1,services,other,course,mother,1,2,3,no,yes,yes,no,yes,yes,yes,no,2,3,3,2,2,4,5,no -GP,F,16,U,GT3,T,4,3,teacher,other,other,mother,1,2,0,no,no,yes,yes,yes,yes,yes,yes,1,3,2,1,1,1,10,yes -GP,F,16,U,GT3,T,1,1,at_home,other,home,mother,2,1,0,no,yes,yes,no,yes,yes,no,no,4,3,2,1,4,5,6,yes -GP,F,17,R,GT3,T,4,3,teacher,other,reputation,mother,2,3,0,no,yes,yes,yes,yes,yes,yes,yes,4,4,2,1,1,4,6,no -GP,F,19,U,GT3,T,3,3,other,other,reputation,other,1,4,0,no,yes,yes,yes,yes,yes,yes,no,4,3,3,1,2,3,10,no -GP,M,17,U,LE3,T,4,4,services,other,home,mother,1,2,0,no,yes,yes,no,yes,yes,yes,yes,5,3,5,4,5,3,13,yes -GP,F,16,U,GT3,A,2,2,other,other,reputation,mother,1,2,0,yes,yes,yes,no,yes,yes,yes,no,3,3,4,1,1,4,0,yes -GP,M,18,U,GT3,T,2,2,services,other,home,mother,1,2,1,no,yes,yes,yes,yes,yes,yes,no,4,4,4,2,4,5,15,no -GP,F,17,R,LE3,T,4,4,services,other,other,mother,1,1,0,no,yes,yes,no,yes,yes,no,no,5,2,1,1,2,3,12,yes -GP,F,17,U,LE3,T,3,2,other,other,reputation,mother,2,2,0,no,no,yes,no,yes,yes,yes,no,4,4,4,1,3,1,2,yes -GP,F,17,U,GT3,T,4,3,other,other,reputation,mother,1,2,2,no,no,yes,no,yes,yes,yes,yes,3,4,5,2,4,1,22,no -GP,M,18,U,LE3,T,3,3,services,health,home,father,1,2,1,no,yes,yes,no,yes,yes,yes,no,3,2,4,2,4,4,13,no -GP,F,17,U,GT3,T,2,3,at_home,other,home,father,2,1,0,no,yes,yes,no,yes,yes,no,no,3,3,3,1,4,3,3,no -GP,F,17,U,GT3,T,2,2,at_home,at_home,course,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,no,4,3,3,1,1,4,4,yes -GP,F,17,R,GT3,T,2,1,at_home,services,reputation,mother,2,2,0,no,yes,no,yes,yes,yes,yes,no,4,2,5,1,2,5,2,no -GP,F,17,U,GT3,T,1,1,at_home,other,reputation,mother,1,3,1,no,yes,no,yes,yes,yes,no,yes,4,3,4,1,1,5,0,no -GP,F,16,U,GT3,T,2,3,services,teacher,other,mother,1,2,0,yes,no,no,no,yes,yes,yes,no,2,3,1,1,1,3,2,yes -GP,M,18,U,GT3,T,2,2,other,other,home,mother,2,2,0,no,yes,yes,no,yes,yes,yes,no,3,3,3,5,5,4,0,yes -GP,F,16,U,GT3,T,4,4,teacher,services,home,mother,1,3,0,no,yes,no,yes,no,yes,yes,no,5,3,2,1,1,5,0,yes -GP,F,18,R,GT3,T,3,1,other,other,reputation,mother,1,2,1,no,no,no,yes,yes,yes,yes,yes,5,3,3,1,1,4,16,no -GP,F,17,U,GT3,T,3,2,other,other,course,mother,1,2,0,no,no,no,yes,no,yes,yes,no,5,3,4,1,3,3,10,yes -GP,M,17,U,LE3,T,2,3,services,services,reputation,father,1,2,0,no,yes,yes,no,no,yes,yes,no,5,3,3,1,3,3,2,yes -GP,M,18,U,LE3,T,2,1,at_home,other,course,mother,4,2,0,yes,yes,yes,yes,yes,yes,yes,yes,4,3,2,4,5,3,14,no -GP,F,17,U,GT3,A,2,1,other,other,course,mother,2,3,0,no,no,no,yes,yes,yes,yes,yes,3,2,3,1,2,3,10,yes -GP,F,17,U,LE3,T,4,3,health,other,reputation,father,1,2,0,no,no,no,yes,yes,yes,yes,yes,3,2,3,1,2,3,14,yes -GP,M,17,R,GT3,T,2,2,other,other,course,father,2,2,0,no,yes,yes,yes,yes,yes,yes,no,4,5,2,1,1,1,4,yes -GP,M,17,U,GT3,T,4,4,teacher,teacher,reputation,mother,1,2,0,yes,yes,no,yes,yes,yes,yes,yes,4,5,5,1,3,2,14,no -GP,M,16,U,GT3,T,4,4,health,other,reputation,father,1,2,0,no,yes,yes,yes,yes,yes,yes,no,4,2,4,2,4,1,2,yes -GP,M,16,U,LE3,T,1,1,other,other,home,mother,2,2,0,no,yes,yes,no,yes,yes,yes,no,3,4,2,1,1,5,18,no -GP,M,16,U,GT3,T,3,2,at_home,other,reputation,mother,2,3,0,no,no,no,yes,yes,yes,yes,yes,5,3,3,1,3,2,10,yes -GP,M,17,U,LE3,T,2,2,other,other,home,father,1,2,0,no,no,yes,yes,no,yes,yes,yes,4,4,2,5,5,4,4,yes -GP,F,16,U,GT3,T,2,1,other,other,home,mother,1,1,0,no,no,no,no,yes,yes,yes,yes,4,5,2,1,1,5,20,yes -GP,F,17,R,GT3,T,2,1,at_home,services,course,mother,3,2,0,no,no,no,yes,yes,yes,no,no,2,1,1,1,1,3,2,yes -GP,M,18,U,GT3,T,2,2,other,services,reputation,father,1,2,1,no,no,no,no,yes,no,yes,no,5,5,4,3,5,2,0,no -GP,M,17,U,LE3,T,4,3,health,other,course,mother,2,2,0,no,no,no,yes,yes,yes,yes,yes,2,5,5,1,4,5,14,yes -GP,M,17,R,LE3,A,4,4,teacher,other,course,mother,2,2,0,no,yes,yes,no,yes,yes,yes,no,3,3,3,2,3,4,2,yes -GP,M,16,U,LE3,T,4,3,teacher,other,course,mother,1,1,0,no,no,no,yes,no,yes,yes,no,5,4,5,1,1,3,0,no -GP,M,16,U,GT3,T,4,4,services,services,course,mother,1,1,0,no,no,no,yes,yes,yes,yes,no,5,3,2,1,2,5,0,yes -GP,F,18,U,GT3,T,2,1,other,other,course,other,2,3,0,no,yes,yes,no,no,yes,yes,yes,4,4,4,1,1,3,0,no -GP,M,16,U,GT3,T,2,1,other,other,course,mother,3,1,0,no,no,no,no,yes,yes,yes,no,4,3,3,1,1,4,6,yes -GP,M,17,U,GT3,T,2,3,other,other,course,father,2,1,0,no,no,no,no,yes,yes,yes,no,5,2,2,1,1,2,4,yes -GP,M,22,U,GT3,T,3,1,services,services,other,mother,1,1,3,no,no,no,no,no,no,yes,yes,5,4,5,5,5,1,16,no -GP,M,18,R,LE3,T,3,3,other,services,course,mother,1,2,1,no,yes,no,no,yes,yes,yes,yes,4,3,3,1,3,5,8,no -GP,M,16,U,GT3,T,0,2,other,other,other,mother,1,1,0,no,no,yes,no,no,yes,yes,no,4,3,2,2,4,5,0,yes -GP,M,18,U,GT3,T,3,2,services,other,course,mother,2,1,1,no,no,no,no,yes,no,yes,no,4,4,5,2,4,5,0,no -GP,M,16,U,GT3,T,3,3,at_home,other,reputation,other,3,2,0,yes,yes,no,no,no,yes,yes,no,5,3,3,1,3,2,6,yes -GP,M,18,U,GT3,T,2,1,services,services,other,mother,1,1,1,no,no,no,no,no,no,yes,no,3,2,5,2,5,5,4,no -GP,M,16,R,GT3,T,2,1,other,other,course,mother,2,1,0,no,no,no,yes,no,yes,no,no,3,3,2,1,3,3,0,no -GP,M,17,R,GT3,T,2,1,other,other,course,mother,1,1,0,no,no,no,no,no,yes,yes,no,4,4,2,2,4,5,0,yes -GP,M,17,U,LE3,T,1,1,health,other,course,mother,2,1,1,no,yes,no,yes,yes,yes,yes,no,4,4,4,1,2,5,2,no -GP,F,17,U,LE3,T,4,2,teacher,services,reputation,mother,1,4,0,no,yes,yes,yes,yes,yes,yes,no,4,2,3,1,1,4,6,yes -GP,M,19,U,LE3,A,4,3,services,at_home,reputation,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,4,3,1,1,1,1,12,yes -GP,M,18,U,GT3,T,2,1,other,other,home,mother,1,2,0,no,no,no,yes,yes,yes,yes,no,5,2,4,1,2,4,8,yes -GP,F,17,U,LE3,T,2,2,services,services,course,father,1,4,0,no,no,yes,yes,yes,yes,yes,yes,3,4,1,1,1,2,0,no -GP,F,18,U,GT3,T,4,3,services,other,home,father,1,2,0,no,yes,yes,no,yes,yes,yes,yes,3,1,2,1,3,2,21,yes -GP,M,18,U,GT3,T,4,3,teacher,other,course,mother,1,2,0,no,yes,yes,no,no,yes,yes,no,4,3,2,1,1,3,2,no -GP,M,18,R,GT3,T,3,2,other,other,course,mother,1,3,0,no,no,no,yes,no,yes,no,no,5,3,2,1,1,3,1,yes -GP,F,17,U,GT3,T,3,3,other,other,home,mother,1,3,0,no,no,no,yes,no,yes,no,no,3,2,3,1,1,4,4,no -GP,F,18,U,GT3,T,2,2,at_home,services,home,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,yes,4,3,3,1,1,3,0,no -GP,M,18,R,LE3,A,3,4,other,other,reputation,mother,2,2,0,no,yes,yes,yes,yes,yes,yes,no,4,2,5,3,4,1,13,yes -GP,M,17,U,GT3,T,3,1,services,other,other,mother,1,2,0,no,no,yes,yes,yes,yes,yes,yes,5,4,4,3,4,5,2,yes -GP,F,18,R,GT3,T,4,4,teacher,other,reputation,mother,2,2,0,no,no,yes,yes,yes,yes,yes,no,4,3,4,2,2,4,8,yes -GP,M,18,U,GT3,T,4,2,health,other,reputation,father,1,2,0,no,yes,yes,yes,yes,yes,yes,yes,5,4,5,1,3,5,10,yes -GP,F,18,R,GT3,T,2,1,other,other,reputation,mother,2,2,0,no,yes,no,no,yes,no,yes,yes,4,3,5,1,2,3,0,no -GP,F,19,U,GT3,T,3,3,other,services,home,other,1,2,2,no,yes,yes,yes,yes,yes,yes,no,4,3,5,3,3,5,15,no -GP,F,18,U,GT3,T,2,3,other,services,reputation,father,1,4,0,no,yes,yes,yes,yes,yes,yes,yes,4,5,5,1,3,2,4,yes -GP,F,18,U,LE3,T,1,1,other,other,home,mother,2,2,0,no,yes,yes,no,no,yes,no,no,4,4,3,1,1,3,2,yes -GP,M,17,R,GT3,T,1,2,at_home,at_home,home,mother,1,2,0,no,yes,yes,yes,no,yes,no,yes,3,5,2,2,2,1,2,yes -GP,F,17,U,GT3,T,2,4,at_home,health,reputation,mother,2,2,0,no,yes,yes,no,yes,yes,yes,yes,4,3,3,1,1,1,2,yes -GP,F,17,U,LE3,T,2,2,services,other,course,mother,2,2,0,yes,yes,yes,no,yes,yes,yes,yes,4,4,4,2,3,5,6,yes -GP,F,18,R,GT3,A,3,2,other,services,home,mother,2,2,0,no,no,no,no,no,no,yes,yes,4,1,1,1,1,5,75,no -GP,M,18,U,GT3,T,4,4,teacher,services,home,mother,2,1,0,no,no,yes,yes,yes,yes,yes,no,3,2,4,1,4,3,22,no -GP,F,18,U,GT3,T,4,4,health,health,reputation,father,1,2,1,yes,yes,no,yes,yes,yes,yes,yes,2,4,4,1,1,4,15,no -GP,M,18,U,LE3,T,4,3,teacher,services,course,mother,2,1,0,no,no,yes,yes,yes,yes,yes,no,4,2,3,1,2,1,8,yes -GP,M,17,U,LE3,A,4,1,services,other,home,mother,2,1,0,no,no,yes,yes,yes,yes,yes,yes,4,5,4,2,4,5,30,no -GP,M,17,U,LE3,A,3,2,teacher,services,home,mother,1,1,1,no,no,no,no,yes,yes,yes,no,4,4,4,3,4,3,19,yes -GP,F,18,R,LE3,T,1,1,at_home,other,reputation,mother,2,4,0,no,yes,yes,yes,yes,yes,no,no,5,2,2,1,1,3,1,yes -GP,F,18,U,GT3,T,1,1,other,other,home,mother,2,2,0,yes,no,no,yes,yes,yes,yes,no,5,4,4,1,1,4,4,yes -GP,F,17,U,GT3,T,2,2,other,other,course,mother,1,2,0,no,yes,no,no,no,yes,yes,no,5,4,5,1,2,5,4,yes -GP,M,17,U,GT3,T,1,1,other,other,reputation,father,1,2,0,no,no,yes,no,no,yes,yes,no,4,3,3,1,2,4,2,yes -GP,F,18,U,GT3,T,2,2,at_home,at_home,other,mother,1,3,0,no,yes,yes,no,yes,yes,yes,no,4,3,3,1,2,2,5,yes -GP,F,17,U,GT3,T,1,1,services,teacher,reputation,mother,1,3,0,no,yes,yes,no,yes,yes,yes,no,4,3,3,1,1,3,6,yes -GP,M,18,U,GT3,T,2,1,services,services,reputation,mother,1,3,0,no,no,yes,yes,yes,yes,yes,no,4,2,4,1,3,2,6,yes -GP,M,18,U,LE3,A,4,4,teacher,teacher,reputation,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,no,5,4,3,1,1,2,9,yes -GP,M,18,U,GT3,T,4,2,teacher,other,home,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,yes,4,3,2,1,4,5,11,yes -GP,F,17,U,GT3,T,4,3,health,services,reputation,mother,1,3,0,no,yes,yes,no,yes,yes,yes,no,4,2,2,1,2,3,0,yes -GP,F,18,U,LE3,T,2,1,services,at_home,reputation,mother,1,2,1,no,no,no,no,yes,yes,yes,yes,5,4,3,1,1,5,12,yes -GP,F,17,R,LE3,T,3,1,services,other,reputation,mother,2,4,0,no,yes,yes,no,yes,yes,no,no,3,1,2,1,1,3,6,yes -GP,M,18,R,LE3,T,3,2,services,other,reputation,mother,2,3,0,no,yes,yes,yes,yes,yes,yes,no,5,4,2,1,1,4,8,yes -GP,M,17,U,GT3,T,3,3,health,other,home,mother,1,1,0,no,yes,yes,no,yes,yes,yes,no,4,4,3,1,3,5,4,yes -GP,F,19,U,GT3,T,4,4,health,other,reputation,other,2,2,0,no,yes,yes,yes,yes,yes,yes,no,2,3,4,2,3,2,0,no -GP,F,18,U,LE3,T,4,3,other,other,home,other,2,2,0,no,yes,yes,no,yes,yes,yes,yes,4,4,5,1,2,2,10,no -GP,F,18,U,GT3,T,4,3,other,other,reputation,father,1,4,0,no,yes,yes,no,yes,yes,yes,no,4,3,3,1,1,3,0,yes -GP,M,18,U,LE3,T,4,4,teacher,teacher,home,mother,1,1,0,no,yes,yes,no,yes,yes,yes,yes,1,4,2,2,2,1,5,yes -GP,F,18,U,LE3,A,4,4,health,other,home,mother,1,2,0,no,yes,no,no,yes,yes,yes,yes,4,2,4,1,1,4,14,yes -GP,M,17,U,LE3,T,4,4,other,teacher,home,father,2,1,0,no,no,yes,no,yes,yes,yes,no,4,1,1,2,2,5,0,yes -GP,F,17,U,GT3,T,4,2,other,other,reputation,mother,2,3,0,no,yes,yes,no,yes,yes,yes,no,4,3,3,1,1,3,0,yes -GP,F,17,U,GT3,T,3,2,health,health,reputation,father,1,4,0,no,yes,yes,yes,no,yes,yes,no,5,2,2,1,2,5,0,yes -GP,M,19,U,GT3,T,3,3,other,other,home,other,1,2,1,no,yes,no,yes,yes,yes,yes,yes,4,4,4,1,1,3,20,yes -GP,F,18,U,GT3,T,2,4,services,at_home,reputation,other,1,2,1,no,yes,yes,yes,yes,yes,yes,no,4,4,3,1,1,3,8,yes -GP,M,20,U,GT3,A,3,2,services,other,course,other,1,1,0,no,no,no,yes,yes,yes,no,no,5,5,3,1,1,5,0,yes -GP,M,19,U,GT3,T,4,4,teacher,services,reputation,other,2,1,1,no,yes,yes,no,yes,yes,yes,yes,4,3,4,1,1,4,38,no -GP,M,19,R,GT3,T,3,3,other,services,reputation,father,1,2,1,no,no,no,yes,yes,yes,no,yes,4,5,3,1,2,5,0,yes -GP,F,19,U,LE3,T,1,1,at_home,other,reputation,other,1,2,1,yes,yes,no,yes,no,yes,yes,no,4,4,3,1,3,3,18,yes -GP,F,19,U,LE3,T,1,2,services,services,home,other,1,2,1,no,no,no,yes,no,yes,no,yes,4,2,4,2,2,3,0,no -GP,F,19,U,GT3,T,2,1,at_home,other,other,other,3,2,0,no,yes,no,no,yes,no,yes,yes,3,4,1,1,1,2,20,yes -GP,M,19,U,GT3,T,1,2,other,services,course,other,1,2,1,no,no,no,no,no,yes,yes,no,4,5,2,2,2,4,3,yes -GP,F,19,U,LE3,T,3,2,services,other,reputation,other,2,2,1,no,yes,yes,no,no,yes,yes,yes,4,2,2,1,2,1,22,yes -GP,F,19,U,GT3,T,1,1,at_home,health,home,other,1,3,2,no,no,no,no,no,yes,yes,yes,4,1,2,1,1,3,14,yes -GP,F,19,R,GT3,T,2,3,other,other,reputation,other,1,3,1,no,no,no,no,yes,yes,yes,yes,4,1,2,1,1,3,40,yes -GP,F,18,U,GT3,T,2,1,services,other,course,mother,2,2,0,no,yes,yes,yes,yes,yes,yes,no,5,3,3,1,2,1,0,no -GP,F,18,U,GT3,T,4,3,other,other,course,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,yes,4,3,4,1,1,5,9,no -GP,F,17,R,GT3,T,3,4,at_home,services,course,father,1,3,0,no,yes,yes,yes,no,yes,yes,no,4,3,4,2,5,5,0,yes -GP,F,18,U,GT3,T,4,4,teacher,other,course,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,4,4,4,3,3,5,2,yes -GP,F,17,U,GT3,A,4,3,services,services,course,mother,1,2,0,no,yes,yes,no,yes,yes,yes,yes,5,2,2,1,2,5,23,yes -GP,F,17,U,GT3,T,2,2,other,other,course,mother,1,2,0,no,yes,no,no,yes,yes,no,yes,4,2,2,1,1,3,12,no -GP,F,17,R,LE3,T,2,2,services,services,course,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,no,3,3,2,2,2,3,3,yes -GP,F,17,U,GT3,T,3,1,services,services,course,father,1,3,0,no,yes,no,no,no,yes,yes,no,3,4,3,2,3,5,1,yes -GP,F,17,U,LE3,T,0,2,at_home,at_home,home,father,2,3,0,no,no,no,no,yes,yes,yes,no,3,3,3,2,3,2,0,yes -GP,M,18,U,GT3,T,4,4,other,other,course,mother,1,3,0,no,no,no,yes,yes,yes,yes,no,4,3,3,2,2,3,3,yes -GP,M,17,U,GT3,T,3,3,other,services,reputation,mother,1,1,0,no,no,no,yes,no,yes,yes,no,4,3,5,3,5,5,3,yes -GP,M,17,R,GT3,T,2,2,services,other,course,mother,4,1,0,no,yes,no,no,yes,yes,yes,no,4,4,5,5,5,4,8,yes -GP,F,17,U,GT3,T,4,4,teacher,services,course,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,no,5,4,4,1,3,4,7,no -GP,F,17,U,GT3,T,4,4,teacher,teacher,course,mother,2,3,0,no,yes,yes,no,no,yes,yes,yes,4,3,3,1,2,4,4,yes -GP,M,18,U,LE3,T,2,2,other,other,course,mother,1,4,0,no,yes,no,yes,yes,yes,yes,no,4,5,5,2,4,5,2,no -GP,F,17,R,GT3,T,2,4,at_home,other,course,father,1,3,0,no,yes,no,no,yes,yes,yes,yes,4,4,3,1,1,5,7,yes -GP,F,18,U,GT3,T,3,3,services,services,home,mother,1,2,0,no,no,no,yes,yes,yes,yes,no,5,3,4,1,1,4,0,no -GP,F,18,U,LE3,T,2,2,other,other,home,other,1,2,0,no,no,no,yes,no,yes,yes,yes,4,3,3,1,1,2,0,no -GP,F,18,R,GT3,T,2,2,at_home,other,course,mother,2,4,0,no,no,no,yes,yes,yes,no,no,4,4,4,1,1,4,0,no -GP,F,17,U,GT3,T,3,4,services,other,course,mother,1,3,0,no,no,no,no,yes,yes,yes,no,4,4,5,1,3,5,16,yes -GP,F,19,R,GT3,A,3,1,services,at_home,home,other,1,3,1,no,no,yes,no,yes,yes,no,no,5,4,3,1,2,5,12,yes -GP,F,17,U,GT3,T,3,2,other,other,home,mother,1,2,0,no,yes,yes,no,yes,yes,yes,yes,4,3,2,2,3,2,0,no -GP,F,18,U,LE3,T,3,3,services,services,home,mother,1,4,0,no,yes,no,no,yes,yes,yes,no,5,3,3,1,1,1,7,yes -GP,F,17,R,GT3,A,3,2,other,other,home,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,4,3,3,2,3,2,4,yes -GP,F,19,U,GT3,T,2,1,services,services,home,other,1,3,1,no,no,yes,yes,yes,yes,yes,yes,4,3,4,1,3,3,4,yes -GP,M,18,U,GT3,T,4,4,teacher,services,home,father,1,2,1,no,yes,no,yes,yes,yes,yes,no,4,3,3,2,2,2,0,no -GP,M,18,U,LE3,T,3,4,services,other,home,mother,1,2,0,no,no,no,yes,yes,yes,yes,yes,4,3,3,1,3,5,11,yes -GP,F,17,U,GT3,A,2,2,at_home,at_home,home,father,1,2,1,no,yes,no,no,yes,yes,yes,yes,3,3,1,1,2,4,0,no -GP,F,18,U,GT3,T,2,3,at_home,other,course,mother,1,3,0,no,yes,no,no,yes,yes,yes,no,4,3,3,1,2,3,4,yes -GP,F,18,U,GT3,T,3,2,other,services,other,mother,1,3,0,no,no,no,no,yes,yes,yes,yes,5,4,3,2,3,1,7,yes -GP,M,18,R,GT3,T,4,3,teacher,services,course,mother,1,3,0,no,no,no,no,yes,yes,yes,yes,5,3,2,1,2,4,9,yes -GP,M,18,U,GT3,T,4,3,teacher,other,course,mother,1,3,0,no,yes,yes,no,yes,yes,yes,yes,5,4,5,2,3,5,0,no -GP,F,17,U,GT3,T,4,3,health,other,reputation,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,yes,4,4,3,1,3,4,0,yes -MS,M,18,R,GT3,T,3,2,other,other,course,mother,2,1,1,no,yes,no,no,no,yes,yes,no,2,5,5,5,5,5,10,yes -MS,M,19,R,GT3,T,1,1,other,services,home,other,3,2,3,no,no,no,no,yes,yes,yes,no,5,4,4,3,3,2,8,no -MS,M,17,U,GT3,T,3,3,health,other,course,mother,2,2,0,no,yes,yes,no,yes,yes,yes,no,4,5,4,2,3,3,2,yes -MS,M,18,U,LE3,T,1,3,at_home,services,course,mother,1,1,1,no,no,no,no,yes,no,yes,yes,4,3,3,2,3,3,7,no -MS,M,19,R,GT3,T,1,1,other,other,home,other,3,1,1,no,yes,no,no,yes,yes,yes,no,4,4,4,3,3,5,4,no -MS,M,17,R,GT3,T,4,3,services,other,home,mother,2,2,0,no,yes,yes,yes,no,yes,yes,yes,4,5,5,1,3,2,4,yes -MS,F,18,U,GT3,T,3,3,services,services,course,father,1,2,0,no,yes,no,no,yes,yes,no,yes,5,3,4,1,1,5,0,no -MS,F,17,R,GT3,T,4,4,teacher,services,other,father,2,2,0,no,yes,yes,yes,yes,yes,yes,no,4,3,3,1,2,5,4,yes -MS,F,17,U,LE3,A,3,2,services,other,reputation,mother,2,2,0,no,no,no,no,yes,yes,no,yes,1,2,3,1,2,5,2,yes -MS,M,18,U,LE3,T,1,1,other,services,home,father,2,1,0,no,no,no,no,no,yes,yes,yes,3,3,2,1,2,3,4,yes -MS,F,18,U,LE3,T,1,1,at_home,services,course,father,2,3,0,no,no,no,no,yes,yes,yes,no,5,3,2,1,1,4,0,yes -MS,F,18,R,LE3,A,1,4,at_home,other,course,mother,3,2,0,no,no,no,no,yes,yes,no,yes,4,3,4,1,4,5,0,yes -MS,M,18,R,LE3,T,1,1,at_home,other,other,mother,2,2,1,no,no,no,yes,no,no,no,no,4,4,3,2,3,5,2,yes -MS,F,18,U,GT3,T,3,3,services,services,other,mother,2,2,0,no,yes,no,no,yes,yes,yes,yes,4,3,2,1,3,3,0,yes -MS,F,17,U,LE3,T,4,4,at_home,at_home,course,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,yes,2,3,4,1,1,1,0,yes -MS,F,17,R,GT3,T,1,2,other,services,course,father,2,2,0,no,no,no,no,no,yes,no,no,3,2,2,1,2,3,0,yes -MS,M,18,R,GT3,T,1,3,at_home,other,course,mother,2,2,0,no,yes,yes,no,yes,yes,no,no,3,3,4,2,4,3,4,yes -MS,M,18,U,LE3,T,4,4,teacher,services,other,mother,2,3,0,no,no,yes,no,yes,yes,yes,yes,4,2,2,2,2,5,0,yes -MS,F,17,R,GT3,T,1,1,other,services,reputation,mother,3,1,1,no,yes,yes,no,yes,yes,yes,yes,5,2,1,1,2,1,0,no -MS,F,18,U,GT3,T,2,3,at_home,services,course,father,2,1,0,no,yes,yes,no,yes,yes,yes,yes,5,2,3,1,2,4,0,yes -MS,F,18,R,GT3,T,4,4,other,teacher,other,father,3,2,0,no,yes,yes,no,no,yes,yes,yes,3,2,2,4,2,5,10,yes -MS,F,19,U,LE3,T,3,2,services,services,home,other,2,2,2,no,no,no,yes,yes,yes,no,yes,3,2,2,1,1,3,4,no -MS,M,18,R,LE3,T,1,2,at_home,services,other,father,3,1,0,no,yes,yes,yes,yes,no,yes,yes,4,3,3,2,3,3,3,yes -MS,F,17,U,GT3,T,2,2,other,at_home,home,mother,1,3,0,no,no,no,yes,yes,yes,no,yes,3,4,3,1,1,3,8,yes -MS,F,17,R,GT3,T,1,2,other,other,course,mother,1,1,0,no,no,no,yes,yes,yes,yes,no,3,5,5,1,3,1,14,no -MS,F,18,R,LE3,T,4,4,other,other,reputation,mother,2,3,0,no,no,no,no,yes,yes,yes,no,5,4,4,1,1,1,0,yes -MS,F,18,R,GT3,T,1,1,other,other,home,mother,4,3,0,no,no,no,no,yes,yes,yes,no,4,3,2,1,2,4,2,yes -MS,F,20,U,GT3,T,4,2,health,other,course,other,2,3,2,no,yes,yes,no,no,yes,yes,yes,5,4,3,1,1,3,4,yes -MS,F,18,R,LE3,T,4,4,teacher,services,course,mother,1,2,0,no,no,yes,yes,yes,yes,yes,no,5,4,3,3,4,2,4,yes -MS,F,18,U,GT3,T,3,3,other,other,home,mother,1,2,0,no,no,yes,no,yes,yes,yes,yes,4,1,3,1,2,1,0,yes -MS,F,17,R,GT3,T,3,1,at_home,other,reputation,mother,1,2,0,no,yes,yes,yes,no,yes,yes,no,4,5,4,2,3,1,17,yes -MS,M,18,U,GT3,T,4,4,teacher,teacher,home,father,1,2,0,no,no,yes,yes,no,yes,yes,no,3,2,4,1,4,2,4,yes -MS,M,18,R,GT3,T,2,1,other,other,other,mother,2,1,0,no,no,no,yes,no,yes,yes,yes,4,4,3,1,3,5,5,no -MS,M,17,U,GT3,T,2,3,other,services,home,father,2,2,0,no,no,no,yes,yes,yes,yes,no,4,4,3,1,1,3,2,yes -MS,M,19,R,GT3,T,1,1,other,services,other,mother,2,1,1,no,no,no,no,yes,yes,no,no,4,3,2,1,3,5,0,no -MS,M,18,R,GT3,T,4,2,other,other,home,father,2,1,1,no,no,yes,no,yes,yes,no,no,5,4,3,4,3,3,14,no -MS,F,18,R,GT3,T,2,2,at_home,other,other,mother,2,3,0,no,no,yes,no,yes,yes,no,no,5,3,3,1,3,4,2,yes -MS,F,18,R,GT3,T,4,4,teacher,at_home,reputation,mother,3,1,0,no,yes,yes,yes,yes,yes,yes,yes,4,4,3,2,2,5,7,no -MS,F,19,R,GT3,T,2,3,services,other,course,mother,1,3,1,no,no,no,yes,no,yes,yes,no,5,4,2,1,2,5,0,no -MS,F,18,U,LE3,T,3,1,teacher,services,course,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,4,3,4,1,1,1,0,no -MS,F,18,U,GT3,T,1,1,other,other,course,mother,2,2,1,no,no,no,yes,yes,yes,no,no,1,1,1,1,1,5,0,no -MS,M,20,U,LE3,A,2,2,services,services,course,other,1,2,2,no,yes,yes,no,yes,yes,no,no,5,5,4,4,5,4,11,no -MS,M,17,U,LE3,T,3,1,services,services,course,mother,2,1,0,no,no,no,no,no,yes,yes,no,2,4,5,3,4,2,3,yes -MS,M,21,R,GT3,T,1,1,other,other,course,other,1,1,3,no,no,no,no,no,yes,no,no,5,5,3,3,3,3,3,no -MS,M,18,R,LE3,T,3,2,services,other,course,mother,3,1,0,no,no,no,no,no,yes,yes,no,4,4,1,3,4,5,0,yes -MS,M,19,U,LE3,T,1,1,other,at_home,course,father,1,1,0,no,no,no,no,yes,yes,yes,no,3,2,3,3,3,5,5,no diff --git a/student_intervention/student_intervention.ipynb b/student_intervention/student_intervention.ipynb deleted file mode 100755 index 66dec66..0000000 --- a/student_intervention/student_intervention.ipynb +++ /dev/null @@ -1,1402 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Machine Learning Engineer Nanodegree\n", - "## Supervised Learning\n", - "## Project: Building a Student Intervention System" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Welcome to the second project of the Machine Learning Engineer Nanodegree! In this notebook, some template code has already been provided for you, and it will be your job to implement the additional functionality necessary to successfully complete this project. Sections that begin with **'Implementation'** in the header indicate that the following block of code will require additional functionality which you must provide. Instructions will be provided for each section and the specifics of the implementation are marked in the code block with a `'TODO'` statement. Please be sure to read the instructions carefully!\n", - "\n", - "In addition to implementing code, there will be questions that you must answer which relate to the project and your implementation. Each section where you will answer a question is preceded by a **'Question X'** header. Carefully read each question and provide thorough answers in the following text boxes that begin with **'Answer:'**. Your project submission will be evaluated based on your answers to each of the questions and the implementation you provide. \n", - "\n", - ">**Note:** Code and Markdown cells can be executed using the **Shift + Enter** keyboard shortcut. In addition, Markdown cells can be edited by typically double-clicking the cell to enter edit mode." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 1 - Classification vs. Regression\n", - "*Your goal for this project is to identify students who might need early intervention before they fail to graduate. Which type of supervised learning problem is this, classification or regression? Why?*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: **\n", - "\n", - "Given that in this problem we aren't trying to predict continuous values, this is clearly not regression. This problem comes under classification. The problem statement gives a big clue as to why - we need to identify whether a student needs early intervention or not. So there are clearly two labels, wither of which could apply to a student - (a)whether a student needs early intervention, OR (b) A student doesn't need early intervention.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Exploring the Data\n", - "Run the code cell below to load necessary Python libraries and load the student data. Note that the last column from this dataset, `'passed'`, will be our target label (whether the student graduated or didn't graduate). All other columns are features about each student." - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Student data read successfully!\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
schoolsexageaddressfamsizePstatusMeduFeduMjobFjobreasonguardiantraveltimestudytimefailuresschoolsupfamsuppaidactivitiesnurseryhigherinternetromanticfamrelfreetimegooutDalcWalchealthabsencespassed
0GPF18UGT3A44at_hometeachercoursemother220yesnononoyesyesnono4341136no
1GPF17UGT3T11at_homeothercoursefather120noyesnononoyesyesno5331134no
2GPF15ULE3T11at_homeotherothermother123yesnoyesnoyesyesyesno43223310yes
3GPF15UGT3T42healthserviceshomemother130noyesyesyesyesyesyesyes3221152yes
4GPF16UGT3T33otherotherhomefather120noyesyesnoyesyesnono4321254yes
\n", - "
" - ], - "text/plain": [ - " school sex age address famsize Pstatus Medu Fedu Mjob Fjob reason guardian traveltime studytime failures schoolsup famsup paid activities nursery higher internet romantic famrel freetime goout Dalc Walc health absences passed\n", - "0 GP F 18 U GT3 A 4 4 at_home teacher course mother 2 2 0 yes no no no yes yes no no 4 3 4 1 1 3 6 no\n", - "1 GP F 17 U GT3 T 1 1 at_home other course father 1 2 0 no yes no no no yes yes no 5 3 3 1 1 3 4 no\n", - "2 GP F 15 U LE3 T 1 1 at_home other other mother 1 2 3 yes no yes no yes yes yes no 4 3 2 2 3 3 10 yes\n", - "3 GP F 15 U GT3 T 4 2 health services home mother 1 3 0 no yes yes yes yes yes yes yes 3 2 2 1 1 5 2 yes\n", - "4 GP F 16 U GT3 T 3 3 other other home father 1 2 0 no yes yes no yes yes no no 4 3 2 1 2 5 4 yes" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
ageMeduFedutraveltimestudytimefailuresfamrelfreetimegooutDalcWalchealthabsences
count395.0395.0395.0395.0395.0395.0395.0395.0395.0395.0395.0395.0395.0
mean17.03.03.01.02.00.04.03.03.01.02.04.06.0
std1.01.01.01.01.01.01.01.01.01.01.01.08.0
min15.00.00.01.01.00.01.01.01.01.01.01.00.0
25%16.02.02.01.01.00.04.03.02.01.01.03.00.0
50%17.03.02.01.02.00.04.03.03.01.02.04.04.0
75%18.04.03.02.02.00.05.04.04.02.03.05.08.0
max22.04.04.04.04.03.05.05.05.05.05.05.075.0
\n", - "
" - ], - "text/plain": [ - " age Medu Fedu traveltime studytime failures famrel freetime goout Dalc Walc health absences\n", - "count 395.0 395.0 395.0 395.0 395.0 395.0 395.0 395.0 395.0 395.0 395.0 395.0 395.0\n", - "mean 17.0 3.0 3.0 1.0 2.0 0.0 4.0 3.0 3.0 1.0 2.0 4.0 6.0\n", - "std 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 8.0\n", - "min 15.0 0.0 0.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0\n", - "25% 16.0 2.0 2.0 1.0 1.0 0.0 4.0 3.0 2.0 1.0 1.0 3.0 0.0\n", - "50% 17.0 3.0 2.0 1.0 2.0 0.0 4.0 3.0 3.0 1.0 2.0 4.0 4.0\n", - "75% 18.0 4.0 3.0 2.0 2.0 0.0 5.0 4.0 4.0 2.0 3.0 5.0 8.0\n", - "max 22.0 4.0 4.0 4.0 4.0 3.0 5.0 5.0 5.0 5.0 5.0 5.0 75.0" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Import libraries\n", - "import numpy as np\n", - "import pandas as pd\n", - "from time import time\n", - "from sklearn.metrics import f1_score\n", - "\n", - "from IPython.display import display # Allows the use of display() for displaying DataFrames\n", - "pd.options.display.max_columns = None #Allows us to view all columns of a DataFrame\n", - "\n", - "# Read student data\n", - "student_data = pd.read_csv(\"student-data.csv\")\n", - "print(\"Student data read successfully!\")\n", - "\n", - "# Display the first five records\n", - "display(student_data.head(n=5))\n", - "\n", - "# Some more additional data analysis\n", - "display(np.round(student_data.describe()))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Data Exploration\n", - "Let's begin by investigating the dataset to determine how many students we have information on, and learn about the graduation rate among these students. In the code cell below, you will need to compute the following:\n", - "- The total number of students, `n_students`.\n", - "- The total number of features for each student, `n_features`.\n", - "- The number of those students who passed, `n_passed`.\n", - "- The number of those students who failed, `n_failed`.\n", - "- The graduation rate of the class, `grad_rate`, in percent (%).\n" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Total number of students: 395\n", - "Number of features: 31\n", - "Number of students who passed: 265\n", - "Number of students who failed: 130\n", - "Graduation rate of the class: 67.09%\n" - ] - } - ], - "source": [ - "# TODO: Calculate number of students\n", - "n_students = student_data.shape[0]\n", - "\n", - "# TODO: Calculate number of features\n", - "n_features = student_data.shape[1]\n", - "\n", - "# TODO: Calculate passing students\n", - "passing_students = student_data.loc[(student_data['passed'] == \"yes\")]\n", - "n_passed = passing_students.shape[0]\n", - "\n", - "# TODO: Calculate failing students\n", - "failing_students = student_data.loc[(student_data['passed'] == \"no\")]\n", - "n_failed = failing_students.shape[0]\n", - "\n", - "# TODO: Calculate graduation rate\n", - "grad_rate = n_passed*100/n_students\n", - "\n", - "# Print the results\n", - "print(\"Total number of students: {}\".format(n_students))\n", - "print(\"Number of features: {}\".format(n_features))\n", - "print(\"Number of students who passed: {}\".format(n_passed))\n", - "print(\"Number of students who failed: {}\".format(n_failed))\n", - "print(\"Graduation rate of the class: {:.2f}%\".format(grad_rate))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Preparing the Data\n", - "In this section, we will prepare the data for modeling, training and testing.\n", - "\n", - "### Identify feature and target columns\n", - "It is often the case that the data you obtain contains non-numeric features. This can be a problem, as most machine learning algorithms expect numeric data to perform computations with.\n", - "\n", - "Run the code cell below to separate the student data into feature and target columns to see if any features are non-numeric." - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Feature columns:\n", - "['school', 'sex', 'age', 'address', 'famsize', 'Pstatus', 'Medu', 'Fedu', 'Mjob', 'Fjob', 'reason', 'guardian', 'traveltime', 'studytime', 'failures', 'schoolsup', 'famsup', 'paid', 'activities', 'nursery', 'higher', 'internet', 'romantic', 'famrel', 'freetime', 'goout', 'Dalc', 'Walc', 'health', 'absences']\n", - "\n", - "Target column: passed\n", - "\n", - "Feature values:\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
schoolsexageaddressfamsizePstatusMeduFeduMjobFjobreasonguardiantraveltimestudytimefailuresschoolsupfamsuppaidactivitiesnurseryhigherinternetromanticfamrelfreetimegooutDalcWalchealthabsences
0GPF18UGT3A44at_hometeachercoursemother220yesnononoyesyesnono4341136
1GPF17UGT3T11at_homeothercoursefather120noyesnononoyesyesno5331134
2GPF15ULE3T11at_homeotherothermother123yesnoyesnoyesyesyesno43223310
3GPF15UGT3T42healthserviceshomemother130noyesyesyesyesyesyesyes3221152
4GPF16UGT3T33otherotherhomefather120noyesyesnoyesyesnono4321254
\n", - "
" - ], - "text/plain": [ - " school sex age address famsize Pstatus Medu Fedu Mjob Fjob reason guardian traveltime studytime failures schoolsup famsup paid activities nursery higher internet romantic famrel freetime goout Dalc Walc health absences\n", - "0 GP F 18 U GT3 A 4 4 at_home teacher course mother 2 2 0 yes no no no yes yes no no 4 3 4 1 1 3 6\n", - "1 GP F 17 U GT3 T 1 1 at_home other course father 1 2 0 no yes no no no yes yes no 5 3 3 1 1 3 4\n", - "2 GP F 15 U LE3 T 1 1 at_home other other mother 1 2 3 yes no yes no yes yes yes no 4 3 2 2 3 3 10\n", - "3 GP F 15 U GT3 T 4 2 health services home mother 1 3 0 no yes yes yes yes yes yes yes 3 2 2 1 1 5 2\n", - "4 GP F 16 U GT3 T 3 3 other other home father 1 2 0 no yes yes no yes yes no no 4 3 2 1 2 5 4" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Extract feature columns\n", - "feature_cols = list(student_data.columns[:-1])\n", - "\n", - "# Extract target column 'passed'\n", - "target_col = student_data.columns[-1] \n", - "\n", - "# Show the list of columns\n", - "print(\"Feature columns:\\n{}\".format(feature_cols))\n", - "print(\"\\nTarget column: {}\".format(target_col))\n", - "\n", - "# Separate the data into feature data and target data (X_all and y_all, respectively)\n", - "X_all = student_data[feature_cols]\n", - "y_all = student_data[target_col]\n", - "\n", - "# Show the feature information by printing the first five rows\n", - "print(\"\\nFeature values:\")\n", - "display(X_all.head())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Preprocess Feature Columns\n", - "\n", - "As you can see, there are several non-numeric columns that need to be converted! Many of them are simply `yes`/`no`, e.g. `internet`. These can be reasonably converted into `1`/`0` (binary) values.\n", - "\n", - "Other columns, like `Mjob` and `Fjob`, have more than two values, and are known as _categorical variables_. The recommended way to handle such a column is to create as many columns as possible values (e.g. `Fjob_teacher`, `Fjob_other`, `Fjob_services`, etc.), and assign a `1` to one of them and `0` to all others.\n", - "\n", - "These generated columns are sometimes called _dummy variables_, and we will use the [`pandas.get_dummies()`](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.get_dummies.html?highlight=get_dummies#pandas.get_dummies) function to perform this transformation. Run the code cell below to perform the preprocessing routine discussed in this section." - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Processed feature columns (48 total features):\n", - "['school_GP', 'school_MS', 'sex_F', 'sex_M', 'age', 'address_R', 'address_U', 'famsize_GT3', 'famsize_LE3', 'Pstatus_A', 'Pstatus_T', 'Medu', 'Fedu', 'Mjob_at_home', 'Mjob_health', 'Mjob_other', 'Mjob_services', 'Mjob_teacher', 'Fjob_at_home', 'Fjob_health', 'Fjob_other', 'Fjob_services', 'Fjob_teacher', 'reason_course', 'reason_home', 'reason_other', 'reason_reputation', 'guardian_father', 'guardian_mother', 'guardian_other', 'traveltime', 'studytime', 'failures', 'schoolsup', 'famsup', 'paid', 'activities', 'nursery', 'higher', 'internet', 'romantic', 'famrel', 'freetime', 'goout', 'Dalc', 'Walc', 'health', 'absences']\n" - ] - } - ], - "source": [ - "def preprocess_features(X):\n", - " ''' Preprocesses the student data and converts non-numeric binary variables into\n", - " binary (0/1) variables. Converts categorical variables into dummy variables. '''\n", - " \n", - " # Initialize new output DataFrame\n", - " output = pd.DataFrame(index = X.index) #Empty DataFrame with range equal to X\n", - "\n", - " # Investigate each feature column for the data\n", - " for col, col_data in X.iteritems():\n", - " #print(\"col is \", col)\n", - " #print(\"col_data is \", col_data)\n", - " \n", - " # If data type is non-numeric, replace all yes/no values with 1/0\n", - " if col_data.dtype == object:\n", - " col_data = col_data.replace(['yes', 'no'], [1, 0])\n", - "\n", - " # If data type is categorical, convert to dummy variables\n", - " if col_data.dtype == object:\n", - " # Example: 'school' => 'school_GP' and 'school_MS'\n", - " col_data = pd.get_dummies(col_data, prefix = col) \n", - " \n", - " # Collect the revised columns\n", - " output = output.join(col_data)\n", - " \n", - " return output\n", - "\n", - "X_all = preprocess_features(X_all)\n", - "print(\"Processed feature columns ({} total features):\\n{}\".format(len(X_all.columns), list(X_all.columns)))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Training and Testing Data Split\n", - "So far, we have converted all _categorical_ features into numeric values. For the next step, we split the data (both features and corresponding labels) into training and test sets. In the following code cell below, you will need to implement the following:\n", - "- Randomly shuffle and split the data (`X_all`, `y_all`) into training and testing subsets.\n", - " - Use 300 training points (approximately 75%) and 95 testing points (approximately 25%).\n", - " - Set a `random_state` for the function(s) you use, if provided.\n", - " - Store the results in `X_train`, `X_test`, `y_train`, and `y_test`." - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Training set has 300 samples.\n", - "Testing set has 95 samples.\n" - ] - } - ], - "source": [ - "# TODO: Import any additional functionality you may need here\n", - "\n", - "# Import train_test_split\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# TODO: Set the number of training points\n", - "num_train = 300\n", - "\n", - "# Set the number of testing points\n", - "num_test = X_all.shape[0] - num_train\n", - "\n", - "# TODO: Shuffle and split the dataset into the number of training and testing points above\n", - "X_train = None\n", - "X_test = None\n", - "y_train = None\n", - "y_test = None\n", - "\n", - "# Split the 'features' and labels data into training and testing sets\n", - "X_train, X_test, y_train, y_test = train_test_split(X_all, \n", - " y_all, \n", - " test_size = 95, \n", - " random_state = 0)\n", - "\n", - "# Show the results of the split\n", - "print(\"Training set has {} samples.\".format(X_train.shape[0]))\n", - "print(\"Testing set has {} samples.\".format(X_test.shape[0]))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Training and Evaluating Models\n", - "In this section, you will choose 3 supervised learning models that are appropriate for this problem and available in `scikit-learn`. You will first discuss the reasoning behind choosing these three models by considering what you know about the data and each model's strengths and weaknesses. You will then fit the model to varying sizes of training data (100 data points, 200 data points, and 300 data points) and measure the F1 score. You will need to produce three tables (one for each model) that shows the training set size, training time, prediction time, F1 score on the training set, and F1 score on the testing set.\n", - "\n", - "**The following supervised learning models are currently available in** [`scikit-learn`](http://scikit-learn.org/stable/supervised_learning.html) **that you may choose from:**\n", - "- Gaussian Naive Bayes (GaussianNB)\n", - "- Decision Trees\n", - "- Ensemble Methods (Bagging, AdaBoost, Random Forest, Gradient Boosting)\n", - "- K-Nearest Neighbors (KNeighbors)\n", - "- Stochastic Gradient Descent (SGDC)\n", - "- Support Vector Machines (SVM)\n", - "- Logistic Regression" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 2 - Model Application\n", - "*List three supervised learning models that are appropriate for this problem. For each model chosen*\n", - "- Describe one real-world application in industry where the model can be applied. *(You may need to do a small bit of research for this — give references!)* \n", - "- What are the strengths of the model; when does it perform well? \n", - "- What are the weaknesses of the model; when does it perform poorly?\n", - "- What makes this model a good candidate for the problem, given what you know about the data?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: **\n", - "\n", - "**Gaussian Naive Bayes**\n", - "\n", - "* Can be used to mark emails as spam or not spam. Or classifying news articles\n", - "* Performs well in classification problems, especially in supervised learning\n", - "* The assumptions that Naive Bayes makes in conditional probabilities can often be inaccurate. It assumes that all features are independent of each other, while in the real world lot of these features can be dependent on each other\n", - "* The data-set is not extremely large, and Gaussian Naive Bayes performs well under these conditions. Moreover, it's easy to train the classifier given that the set of features are not very large\n", - "\n", - "**Decision Trees**\n", - "\n", - "* Used in situations where the outputs are non binary. Can also be used in classification problems\n", - "* Relatively easier to understand and interpret, since it is a 'white box' model\n", - "* Prone to information gain, leading to high bias for some attributes\n", - "* With the given data-set, there might be features that do not interact linearly. Decision trees can perform well in this regard. Moreover, combined with ensemble methods like bagging and boosting, they can be quite effective\n", - "\n", - "**Random forest**\n", - "\n", - "* Used for solving some of the overfitting problems in decision trees and other ML algorithms\n", - "* Can handle non-binary classification problems quite well. Quite fast to train\n", - "* With random sampling, all features might be treated equally and contribute to the final outcome\n", - "* With this given data-set, random forest can be faster to train, can also handle large number of training examples\n", - "\n", - "**Support Vector Machines**\n", - "\n", - "* Used in text classification problems, face detection and in the health industry\n", - "* Performs quite well in classification problems, and better than logistical regression methods. Guarantees to reach the global minimum rather than local minimum\n", - "* Doesn't take into account the structure of the data or its order. Training time can get high with large datasets\n", - "* It's less prone to overfitting some of the features in the data-set, and it can generalize well\n", - "\n", - "Sources:\n", - "\n", - "* [http://www.cs.cornell.edu/~caruana/ctp/ct.papers/caruana.icml06.pdf](http://www.cs.cornell.edu/~caruana/ctp/ct.papers/caruana.icml06.pdf)\n", - "\n", - "* [https://en.wikipedia.org/wiki/Naive_Bayes_classifier](https://en.wikipedia.org/wiki/Naive_Bayes_classifier)\n", - "\n", - "* [https://en.wikipedia.org/wiki/Information_gain_in_decision_trees](https://en.wikipedia.org/wiki/Information_gain_in_decision_trees)\n", - "\n", - "* [https://www.quora.com/What-are-the-advantages-of-different-classification-algorithms](https://www.quora.com/What-are-the-advantages-of-different-classification-algorithms)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Setup\n", - "Run the code cell below to initialize three helper functions which you can use for training and testing the three supervised learning models you've chosen above. The functions are as follows:\n", - "- `train_classifier` - takes as input a classifier and training data and fits the classifier to the data.\n", - "- `predict_labels` - takes as input a fit classifier, features, and a target labeling and makes predictions using the F1 score.\n", - "- `train_predict` - takes as input a classifier, and the training and testing data, and performs `train_clasifier` and `predict_labels`.\n", - " - This function will report the F1 score for both the training and testing data separately." - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [], - "source": [ - "def train_classifier(clf, X_train, y_train):\n", - " ''' Fits a classifier to the training data. '''\n", - " \n", - " # Start the clock, train the classifier, then stop the clock\n", - " start = time()\n", - " clf.fit(X_train, y_train)\n", - " end = time()\n", - " \n", - " # Print the results\n", - " print(\"Trained model in {:.4f} seconds\".format(end - start))\n", - "\n", - " \n", - "def predict_labels(clf, features, target):\n", - " ''' Makes predictions using a fit classifier based on F1 score. '''\n", - " \n", - " # Start the clock, make predictions, then stop the clock\n", - " start = time()\n", - " y_pred = clf.predict(features)\n", - " end = time()\n", - " \n", - " # Print and return results\n", - " print(\"Made predictions in {:.4f} seconds.\".format(end - start))\n", - " return f1_score(target.values, y_pred, pos_label='yes')\n", - "\n", - "\n", - "def train_predict(clf, X_train, y_train, X_test, y_test):\n", - " ''' Train and predict using a classifer based on F1 score. '''\n", - " \n", - " # Indicate the classifier and the training set size\n", - " print(\"Training a {} using a training set size of {}. . .\".format(clf.__class__.__name__, len(X_train)))\n", - " \n", - " # Train the classifier\n", - " train_classifier(clf, X_train, y_train)\n", - " \n", - " # Print the results of prediction for both training and testing\n", - " print(\"F1 score for training set: {:.4f}.\".format(predict_labels(clf, X_train, y_train)))\n", - " print(\"F1 score for test set: {:.4f}.\".format(predict_labels(clf, X_test, y_test)))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Model Performance Metrics\n", - "With the predefined functions above, you will now import the three supervised learning models of your choice and run the `train_predict` function for each one. Remember that you will need to train and predict on each classifier for three different training set sizes: 100, 200, and 300. Hence, you should expect to have 9 different outputs below — 3 for each model using the varying training set sizes. In the following code cell, you will need to implement the following:\n", - "- Import the three supervised learning models you've discussed in the previous section.\n", - "- Initialize the three models and store them in `clf_A`, `clf_B`, and `clf_C`.\n", - " - Use a `random_state` for each model you use, if provided.\n", - " - **Note:** Use the default settings for each model — you will tune one specific model in a later section.\n", - "- Create the different training set sizes to be used to train each model.\n", - " - *Do not reshuffle and resplit the data! The new training points should be drawn from `X_train` and `y_train`.*\n", - "- Fit each model with each training set size and make predictions on the test set (9 in total). \n", - "**Note:** Three tables are provided after the following code cell which can be used to store your results." - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Training a GaussianNB using a training set size of 100. . .\n", - "Trained model in 0.0012 seconds\n", - "Made predictions in 0.0003 seconds.\n", - "F1 score for training set: 0.8550.\n", - "Made predictions in 0.0005 seconds.\n", - "F1 score for test set: 0.7481.\n", - "Training a GaussianNB using a training set size of 200. . .\n", - "Trained model in 0.0008 seconds\n", - "Made predictions in 0.0003 seconds.\n", - "F1 score for training set: 0.8321.\n", - "Made predictions in 0.0003 seconds.\n", - "F1 score for test set: 0.7132.\n", - "Training a GaussianNB using a training set size of 300. . .\n", - "Trained model in 0.0011 seconds\n", - "Made predictions in 0.0005 seconds.\n", - "F1 score for training set: 0.8088.\n", - "Made predictions in 0.0006 seconds.\n", - "F1 score for test set: 0.7500.\n", - "Training a DecisionTreeClassifier using a training set size of 100. . .\n", - "Trained model in 0.0009 seconds\n", - "Made predictions in 0.0002 seconds.\n", - "F1 score for training set: 1.0000.\n", - "Made predictions in 0.0006 seconds.\n", - "F1 score for test set: 0.7009.\n", - "Training a DecisionTreeClassifier using a training set size of 200. . .\n", - "Trained model in 0.0012 seconds\n", - "Made predictions in 0.0002 seconds.\n", - "F1 score for training set: 1.0000.\n", - "Made predictions in 0.0002 seconds.\n", - "F1 score for test set: 0.7031.\n", - "Training a DecisionTreeClassifier using a training set size of 300. . .\n", - "Trained model in 0.0016 seconds\n", - "Made predictions in 0.0002 seconds.\n", - "F1 score for training set: 1.0000.\n", - "Made predictions in 0.0002 seconds.\n", - "F1 score for test set: 0.7167.\n", - "Training a RandomForestClassifier using a training set size of 100. . .\n", - "Trained model in 0.0086 seconds\n", - "Made predictions in 0.0022 seconds.\n", - "F1 score for training set: 0.9922.\n", - "Made predictions in 0.0008 seconds.\n", - "F1 score for test set: 0.6942.\n", - "Training a RandomForestClassifier using a training set size of 200. . .\n", - "Trained model in 0.0088 seconds\n", - "Made predictions in 0.0009 seconds.\n", - "F1 score for training set: 1.0000.\n", - "Made predictions in 0.0007 seconds.\n", - "F1 score for test set: 0.7368.\n", - "Training a RandomForestClassifier using a training set size of 300. . .\n", - "Trained model in 0.0090 seconds\n", - "Made predictions in 0.0010 seconds.\n", - "F1 score for training set: 0.9952.\n", - "Made predictions in 0.0008 seconds.\n", - "F1 score for test set: 0.7939.\n" - ] - } - ], - "source": [ - "# TODO: Import the three supervised learning models from sklearn\n", - "# from sklearn import model_A\n", - "# from sklearn import model_B\n", - "# from sklearn import model_C\n", - "from sklearn.naive_bayes import GaussianNB\n", - "from sklearn.tree import DecisionTreeClassifier\n", - "from sklearn.ensemble import RandomForestClassifier\n", - "\n", - "# TODO: Initialize the three models\n", - "clf_A = GaussianNB()\n", - "clf_B = DecisionTreeClassifier(max_depth=None, random_state=None)\n", - "clf_C = RandomForestClassifier(max_depth=None, random_state=None)\n", - "\n", - "# TODO: Set up the training set sizes\n", - "X_train_100 = X_train[:100]\n", - "y_train_100 = y_train[:100]\n", - "\n", - "X_train_200 = X_train[:200]\n", - "y_train_200 = y_train[:200]\n", - "\n", - "X_train_300 = X_train[:300]\n", - "y_train_300 = y_train[:300]\n", - "\n", - "X_samples = [X_train_100, X_train_200, X_train_300]\n", - "y_samples = [y_train_100, y_train_200, y_train_300]\n", - "# TODO: Execute the 'train_predict' function for each classifier and each training set size\n", - "for clf in [clf_A, clf_B, clf_C]:\n", - " clf_name = clf.__class__.__name__\n", - " \n", - " for i, samples in enumerate(X_samples):\n", - " train_predict(clf, samples, y_samples[i], X_test, y_test)\n", - "\n", - " \n", - "#train_predict(clf, X_train, y_train, X_test, y_test)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Tabular Results\n", - "Edit the cell below to see how a table can be designed in [Markdown](https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet#tables). You can record your results from above in the tables provided." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "** Classifer 1 - ?** \n", - "\n", - "| Training Set Size | Training Time | Prediction Time (test) | F1 Score (train) | F1 Score (test) |\n", - "| :---------------: | :---------------------: | :--------------------: | :--------------: | :-------------: |\n", - "| 100 | 0.0012 | 0.003 | 0.8550 | 0.7481 |\n", - "| 200 | 0.0008 | 0.0003 | 0.8321 | 0.71 |\n", - "| 300 | 0.0011 | 0.0005 | 0.8088 | 0.7500 |\n", - "\n", - "** Classifer 2 - ?** \n", - "\n", - "| Training Set Size | Training Time | Prediction Time (test) | F1 Score (train) | F1 Score (test) |\n", - "| :---------------: | :---------------------: | :--------------------: | :--------------: | :-------------: |\n", - "| 100 | 0.0009 | 0.0006 | 1 | 0.7009 |\n", - "| 200 | 0.0012 | 0.0002 | 1 | 0.7031 |\n", - "| 300 | 0.0016 | 0.0002 | 1 | 0.7167 |\n", - "\n", - "** Classifer 3 - ?** \n", - "\n", - "| Training Set Size | Training Time | Prediction Time (test) | F1 Score (train) | F1 Score (test) |\n", - "| :---------------: | :---------------------: | :--------------------: | :--------------: | :-------------: |\n", - "| 100 | 0.0086 | 0.0008 | 0.9922 | 0.6942 |\n", - "| 200 | 0.0088 | 0.0007 | 1 | 0.7368 |\n", - "| 300 | 0.0090 | 0.0008 | 0.9952 | 0.7939 |" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Choosing the Best Model\n", - "In this final section, you will choose from the three supervised learning models the *best* model to use on the student data. You will then perform a grid search optimization for the model over the entire training set (`X_train` and `y_train`) by tuning at least one parameter to improve upon the untuned model's F1 score. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 3 - Choosing the Best Model\n", - "*Based on the experiments you performed earlier, in one to two paragraphs, explain to the board of supervisors what single model you chose as the best model. Which model is generally the most appropriate based on the available data, limited resources, cost, and performance?*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: **\n", - "\n", - "Based on the results, I most definitely believe that a random forest model will be most appropriate for this task. When 100% of the training data is used, The F score for Random forest is higher (0.794) compared to other models (Decision trees - 0.716 and Gaussian Naive Bayes - 0.75). Based on these factors, random forest is better suited to make predictions. It performs fairly well and the training time and prediction times are on acceptable levels.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 4 - Model in Layman's Terms\n", - "*In one to two paragraphs, explain to the board of directors in layman's terms how the final model chosen is supposed to work. Be sure that you are describing the major qualities of the model, such as how the model is trained and how the model makes a prediction. Avoid using advanced mathematical or technical jargon, such as describing equations or discussing the algorithm implementation.*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: **\n", - "\n", - "In order to understand how Random Forest works, we need to understand how a Decision Tree Classifier works.\n", - "\n", - "A Decision Tree Classifier basically asks a series of Yes or No Questions, and based on the responses, it arrives at the final decision/result/outcome. It's basically like playing a game of 20 questions. Assuming that in this game the task is to predict what person/object are you thinking about, I start to ask a series of Yes/No type questions. Now, if the first question that I ask is - \"are you thinking of a potato\", that would be pretty much useless. Instead, if the question that I ask is \"Is it a person\", then that reveals much more information. This way, every question that I ask would be about maximizing the \"Information Gain\", each successfully bringing me closer and closer to the final prediction. The Decision Tree works exactly this way, using the features in the data-set to form its series of Yes/No questions.\n", - "\n", - "A decision tree is prone to making mistakes, or overfitting. A random forest works by collecting the results of multiple decision tree classifiers and averaging their results. The majority vote of the collection of decision trees is considered to be the final prediciton." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Implementation: Model Tuning\n", - "Fine tune the chosen model. Use grid search (`GridSearchCV`) with at least one important parameter tuned with at least 3 different values. You will need to use the entire training set for this. In the code cell below, you will need to implement the following:\n", - "- Import [`sklearn.grid_search.GridSearchCV`](http://scikit-learn.org/0.17/modules/generated/sklearn.grid_search.GridSearchCV.html) and [`sklearn.metrics.make_scorer`](http://scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html).\n", - "- Create a dictionary of parameters you wish to tune for the chosen model.\n", - " - Example: `parameters = {'parameter' : [list of values]}`.\n", - "- Initialize the classifier you've chosen and store it in `clf`.\n", - "- Create the F1 scoring function using `make_scorer` and store it in `f1_scorer`.\n", - " - Set the `pos_label` parameter to the correct value!\n", - "- Perform grid search on the classifier `clf` using `f1_scorer` as the scoring method, and store it in `grid_obj`.\n", - "- Fit the grid search object to the training data (`X_train`, `y_train`), and store it in `grid_obj`." - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Made predictions in 0.0017 seconds.\n", - "Tuned model has a training F1 score of 0.9067.\n", - "Made predictions in 0.0013 seconds.\n", - "Tuned model has a testing F1 score of 0.8058.\n" - ] - } - ], - "source": [ - "# TODO: Import 'GridSearchCV' and 'make_scorer'\n", - "from sklearn.model_selection import GridSearchCV\n", - "from sklearn.metrics import make_scorer\n", - "\n", - "# TODO: Create the parameters list you wish to tune\n", - "parameters = {'n_estimators': [10, 20, 30], 'max_features':[3,4,5, None], 'max_depth': [5,6,7, None]}\n", - "\n", - "# TODO: Initialize the classifier\n", - "clf = RandomForestClassifier(max_depth=None, random_state=None)\n", - "\n", - "# TODO: Make an f1 scoring function using 'make_scorer' \n", - "f1_scorer = make_scorer(f1_score, average=\"micro\")\n", - "\n", - "# TODO: Perform grid search on the classifier using the f1_scorer as the scoring method\n", - "grid_obj = GridSearchCV(clf, parameters, scoring=f1_scorer)\n", - "\n", - "# TODO: Fit the grid search object to the training data and find the optimal parameters\n", - "grid_obj = grid_obj.fit(X_train, y_train)\n", - "\n", - "# Get the estimator\n", - "clf = grid_obj.best_estimator_\n", - "\n", - "# Report the final F1 score for training and testing after parameter tuning\n", - "print(\"Tuned model has a training F1 score of {:.4f}.\".format(predict_labels(clf, X_train, y_train)))\n", - "print(\"Tuned model has a testing F1 score of {:.4f}.\".format(predict_labels(clf, X_test, y_test)))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Question 5 - Final F1 Score\n", - "*What is the final model's F1 score for training and testing? How does that score compare to the untuned model?*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Answer: ** \n", - "\n", - "As it turns out, the final model's performance has infact slightly increased, though not by a huge margin. The final model's F1 score is 80.5%." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "> **Note**: Once you have completed all of the code implementations and successfully answered each question above, you may finalize your work by exporting the iPython Notebook as an HTML document. You can do this by using the menu above and navigating to \n", - "**File -> Download as -> HTML (.html)**. Include the finished document along with this notebook as your submission." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.4" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/vehicle-detection/.ipynb_checkpoints/Vehicle Detection-checkpoint.ipynb b/vehicle-detection/.ipynb_checkpoints/Vehicle Detection-checkpoint.ipynb deleted file mode 100644 index 88f9166..0000000 --- a/vehicle-detection/.ipynb_checkpoints/Vehicle Detection-checkpoint.ipynb +++ /dev/null @@ -1,1021 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Vehicle detection using Machine Learning\n", - "\n", - "I've made a python notebook to offer detailed explanations about the process. Much of these explanations are directly taken from Udacity's Self Driving Car Course" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "import matplotlib.image as mpimg\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "import cv2\n", - "import glob\n", - "import time\n", - "import pickle\n", - "import copy\n", - "from sklearn import svm\n", - "from sklearn.preprocessing import StandardScaler\n", - "from sklearn.model_selection import GridSearchCV\n", - "from skimage.feature import hog\n", - "from sklearn.externals import joblib\n", - "from scipy import ndimage as ndi\n", - "import imageio\n", - "imageio.plugins.ffmpeg.download()\n", - "from moviepy.editor import VideoFileClip\n", - "from collections import deque\n", - "from sklearn.cross_validation import train_test_split\n", - "\n", - "import numpy as np\n", - "import cv2\n", - "from skimage.feature import hog" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def convert_color(img, conv='RGB2YCrCb'):\n", - " if conv == 'RGB2YCrCb':\n", - " return cv2.cvtColor(img, cv2.COLOR_RGB2YCrCb)\n", - " if conv == 'BGR2YCrCb':\n", - " return cv2.cvtColor(img, cv2.COLOR_BGR2YCrCb)\n", - " if conv == 'RGB2LUV':\n", - " return cv2.cvtColor(img, cv2.COLOR_RGB2LUV)\n", - " if conv == 'HLS':\n", - " return cv2.cvtColor(img, cv2.COLOR_RGB2HLS)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Spatial Binning\n", - "![Spatial Binning](https://d17h27t6h515a5.cloudfront.net/topher/2016/December/585c6ac5_spatial-binning/spatial-binning.jpg)\n", - "\n", - "Template matching is not a particularly robust method for finding vehicles unless you know exactly what your target object looks like. However, raw pixel values are still quite useful to include in your feature vector in searching for cars.\n", - "\n", - "While it could be cumbersome to include three color channels of a full resolution image, you can perform spatial binning on an image and still retain enough information to help in finding vehicles.\n", - "\n", - "As you can see in the example above, even going all the way down to 32 x 32 pixel resolution, the car itself is still clearly identifiable by eye, and this means that the relevant features are still preserved at this resolution.\n", - "\n", - "A convenient function for scaling down the resolution of an image is OpenCV's cv2.resize(). You can use it to scale a color image or a single color channel like this (you can find the original image here):\n", - "\n", - "```\n", - "import cv2\n", - "import matplotlib.image as mpimg\n", - "\n", - "image = mpimg.imread('test_img.jpg')\n", - "small_img = cv2.resize(image, (32, 32))\n", - "print(small_img.shape)\n", - "(32, 32, 3)\n", - "```\n", - "\n", - "If you then wanted to convert this to a one dimensional [feature](https://en.wikipedia.org/wiki/Feature_vector) vector, you could simply say something like:\n", - "```\n", - "feature_vec = small_img.ravel()\n", - "print(feature_vec.shape)\n", - "(3072,)\n", - "```\n", - "\n", - "And the output would look someting like this - \n", - "\n", - "![Output](https://lh3.googleusercontent.com/qySCZslEqbnMoUXF0BU0NurTQl9TJqw6AsxG0TZQRQ5kbB_9OkAZ7Y3-1sIAX-LQurzT5bLJDuzmA54IT8A)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def bin_spatial(img, size=(32, 32)):\n", - " # Convert image to new color space (if specified)\n", - " # Use cv2.resize().ravel() to create the feature vector\n", - " # Return the feature vector\n", - " color1 = cv2.resize(img[:,:,0], size).ravel()\n", - " color2 = cv2.resize(img[:,:,1], size).ravel()\n", - " color3 = cv2.resize(img[:,:,2], size).ravel()\n", - " return np.hstack((color1, color2, color3))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Color Histograms:\n", - "\n", - "An image template is useful for detecting things that do not vary much in their appearance - for example, icons of emojis.\n", - "But for most real world objects that do appear in different forms, orientation, and sizes, this technique does not\n", - "work quite well. In template matching, you depend on raw color values laid out in a specific order, and that can vary a lot.\n", - "So you need to find some transformations that are robust to changes in appearance. One such transform is to compute\n", - "a histogram of color values for an image.\n", - "\n", - "When you compare the histogram of a known object with the regions of a test image, locations with a similar color distribution will reveal a close match. So we are no longer sensitive to a perfect arrangement of pixels. So objects that appear in slightly different orientations and sizes will still be a match.\n", - "\n", - "You can construct histograms of the R, G, and B channels like this:\n", - "\n", - "```\n", - "import matplotlib.image as mpimg\n", - "import numpy as np\n", - "\n", - "# Read in the image\n", - "image = mpimg.imread('cutout1.jpg')\n", - "\n", - "# Take histograms in R, G, and B\n", - "rhist = np.histogram(image[:,:,0], bins=32, range=(0, 256))\n", - "ghist = np.histogram(image[:,:,1], bins=32, range=(0, 256))\n", - "bhist = np.histogram(image[:,:,2], bins=32, range=(0, 256))\n", - "```\n", - "\n", - "With np.histogram(), you don't actually have to specify the number of bins or the range, but here I've arbitrarily chosen 32 bins and specified range=(0, 256) in order to get orderly bin sizes. np.histogram() returns a tuple of two arrays. In this case, for example, rhist[0] contains the counts in each of the bins and rhist[1] contains the bin edges (so it is one element longer than rhist[0]).\n", - "\n", - "To look at a plot of these results, we can compute the bin centers from the bin edges. Each of the histograms in this case have the same bins, so we can just use the rhist bin edges:\n", - "\n", - "```\n", - "# Generating bin centers\n", - "bin_edges = rhist[1]\n", - "bin_centers = (bin_edges[1:] + bin_edges[0:len(bin_edges)-1])/2\n", - "```\n", - "And then summing up the results in a bar chart: \n", - "```\n", - "# Plot a figure with all three bar charts\n", - "fig = plt.figure(figsize=(12,3))\n", - "plt.subplot(131)\n", - "plt.bar(bin_centers, rhist[0])\n", - "plt.xlim(0, 256)\n", - "plt.title('R Histogram')\n", - "plt.subplot(132)\n", - "plt.bar(bin_centers, ghist[0])\n", - "plt.xlim(0, 256)\n", - "plt.title('G Histogram')\n", - "plt.subplot(133)\n", - "plt.bar(bin_centers, bhist[0])\n", - "plt.xlim(0, 256)\n", - "plt.title('B Histogram')\n", - "```\n", - "\n", - "The output should look like this:\n", - "\n", - "![Output](https://d17h27t6h515a5.cloudfront.net/topher/2016/December/585b1c43_rgb-histogram-plot/rgb-histogram-plot.jpg)\n", - "\n", - "These, collectively, are now our feature vector for this particular cutout image. We can concatenate them in the following way:\n", - "\n", - "```hist_features = np.concatenate((rhist[0], ghist[0], bhist[0]))```" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Define a function to compute color histogram features \n", - "def color_hist(img, nbins=32, bins_range=(0, 256)):\n", - " # Compute the histogram of the color channels separately\n", - " channel1_hist = np.histogram(img[:,:,0], bins=nbins, range=bins_range)\n", - " channel2_hist = np.histogram(img[:,:,1], bins=nbins, range=bins_range)\n", - " channel3_hist = np.histogram(img[:,:,2], bins=nbins, range=bins_range)\n", - " # Concatenate the histograms into a single feature vector\n", - " hist_features = np.concatenate((channel1_hist[0], channel2_hist[0], channel3_hist[0]))\n", - " # Return the individual histograms, bin_centers and feature vector\n", - " return hist_features" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Histogram of Gradients (HoG)\n", - "\n", - "Read more about it here - https://www.learnopencv.com/histogram-of-oriented-gradients/\n", - "\n", - "The scikit-image package has a built in function to extract Histogram of Oriented Gradient features. The documentation for this function can be found [here](http://scikit-image.org/docs/dev/api/skimage.feature.html?highlight=feature%20hog#skimage.feature.hog) and a brief explanation of the algorithm and tutorial can be found [here](http://scikit-image.org/docs/dev/auto_examples/features_detection/plot_hog.html).\n", - "\n", - "The scikit-image *hog()* function takes in a single color channel or grayscaled image as input, as well as various parameters. These parameters include orientations, pixels_per_cell and cells_per_block.\n", - "\n", - "The *number of orientations* is specified as an integer, and represents the number of orientation bins that the gradient information will be split up into in the histogram. Typical values are between 6 and 12 bins.\n", - "\n", - "The *pixels_per_cell* parameter specifies the cell size over which each gradient histogram is computed. This paramater is passed as a 2-tuple so you could have different cell sizes in x and y, but cells are commonly chosen to be square.\n", - "\n", - "The *cells_per_block* parameter is also passed as a 2-tuple, and specifies the local area over which the histogram counts in a given cell will be normalized. Block normalization is not necessarily required, but generally leads to a more robust feature set.\n", - "\n", - "There is another optional power law or \"gamma\" normalization scheme set by the flag transform_sqrt. This type of normalization may help reduce the effects of shadows or other illumination variation, but will cause an error if your image contains negative values (because it's taking the square root of image values).\n", - "\n", - "![HOG](https://d17h27t6h515a5.cloudfront.net/topher/2016/December/585b6011_hog-visualization/hog-visualization.jpg)\n", - "\n", - "This is where things get a little confusing though. Let's say you are computing HOG features for an image like the one shown above that is 64×64 pixels. If you set pixels_per_cell=(8, 8) and cells_per_block=(2, 2) and orientations=9. How many elements will you have in your HOG feature vector for the entire image?\n", - "\n", - "You might guess the number of orientations times the number of cells, or 9×8×8=576, but that's not the case if you're using block normalization! In fact, the HOG features for all cells in each block are computed at each block position and the block steps across and down through the image cell by cell.\n", - "\n", - "So, the actual number of features in your final feature vector will be the total number of block positions multiplied by the number of cells per block, times the number of orientations, or in the case shown above: 7×7×2×2×9=1764.\n", - "For the example above, you would call the hog() function on a single color channel img like this:\n", - "\n", - "```\n", - "from skimage.feature import hog\n", - "pix_per_cell = 8\n", - "cell_per_block = 2\n", - "orient = 9\n", - "\n", - "features, hog_image = hog(img, orientations=orient,\n", - " pixels_per_cell=(pix_per_cell, pix_per_cell), \n", - " cells_per_block=(cell_per_block, cell_per_block), \n", - " visualise=True, feature_vector=False,\n", - " block_norm=\"L2-Hys\")\n", - "```\n", - "The visualise=True flag tells the function to output a visualization of the HOG feature computation as well, which we're calling hog_image in this case. If we take a look at a single color channel for a random car image, and its corresponding HOG visulization, they look like this:\n", - "\n", - "![HOG](https://d17h27t6h515a5.cloudfront.net/topher/2016/December/585c12d2_car-and-hog/car-and-hog.jpg)\n", - "\n", - "The HOG visualization is not actually the feature vector, but rather, a representation that shows the dominant gradient direction within each cell with brightness corresponding to the strength of gradients in that cell, much like the \"star\" representation in the last video.\n", - "\n", - "If you look at the features output, you'll find it's an array of shape 7×7×2×2×9. This corresponds to the fact that a grid of 7×7 blocks were sampled, with 2×2 cells in each block and 9 orientations per cell. You can unroll this array into a feature vector using features.ravel(), which yields, in this case, a one dimensional array of length 1764.\n", - "\n", - "Alternatively, you can set the feature_vector=True flag when calling the hog() function to automatically unroll the features. In the project, it could be useful to have a function defined that you could pass an image to with specifications for orientations, pixels_per_cell, and cells_per_block, as well as flags set for whether or not you want the feature vector unrolled and/or a visualization image." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Define a function to return HOG features and visualization\n", - "def get_hog_features(img, orient, pix_per_cell, cell_per_block, \n", - " vis=False, feature_vec=True):\n", - " # Call with two outputs if vis==True\n", - " if vis == True:\n", - " features, hog_image = hog(img, orientations=orient, pixels_per_cell=(pix_per_cell, pix_per_cell),\n", - " cells_per_block=(cell_per_block, cell_per_block), transform_sqrt=True, \n", - " visualise=vis, feature_vector=feature_vec)\n", - " return features, hog_image\n", - " # Otherwise call with one output\n", - " else: \n", - " features = hog(img, orientations=orient, pixels_per_cell=(pix_per_cell, pix_per_cell),\n", - " cells_per_block=(cell_per_block, cell_per_block), transform_sqrt=True, \n", - " visualise=vis, feature_vector=feature_vec)\n", - " return features" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Define a function to extract features from a list of images\n", - "# Have this function call bin_spatial() and color_hist()\n", - "def extract_features(imgs, cspace='RGB', orient=9,\n", - " pix_per_cell=8, cell_per_block=2, hog_channel=0):\n", - " # Create a list to append feature vectors to\n", - " features = []\n", - " # Iterate through the list of images\n", - " for file in imgs:\n", - " file_features = []\n", - " # Read in each one by one\n", - " image = mpimg.imread(file)\n", - " # normalize the pixels.\n", - " #image = image.astype(np.float32)/255\n", - " # apply color conversion.\n", - " feature_image = convert_color(image, cspace)\n", - "\n", - " spatial_features = bin_spatial(feature_image, size=spatial_size)\n", - " file_features.append(spatial_features)\n", - " # Apply color_hist() also with a color space option now\n", - " hist_features = color_hist(feature_image, nbins=hist_bins, bins_range=hist_range)\n", - " file_features.append(hist_features)\n", - " # Append the new feature vector to the features list\n", - "\n", - " # Call get_hog_features() with vis=False, feature_vec=True\n", - " if hog_channel == 'ALL':\n", - " hog_features = []\n", - " for channel in range(feature_image.shape[2]):\n", - " hog_features.append(get_hog_features(feature_image[:,:,channel],\n", - " orient, pix_per_cell, cell_per_block,\n", - " vis=False, feature_vec=True))\n", - " hog_features = np.ravel(hog_features)\n", - " else:\n", - " hog_features = get_hog_features(feature_image[:,:,hog_channel], orient,\n", - " pix_per_cell, cell_per_block, vis=False, feature_vec=True)\n", - " file_features.append(hog_features)\n", - " # Append the new feature vector to the features list.\n", - " features.append(np.concatenate(file_features))\n", - " # Return list of feature vectors\n", - " return features" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Sliding Window Search\n", - "\n", - "How many windows?\n", - "![Car1](https://d17h27t6h515a5.cloudfront.net/topher/2016/December/585d79e7_car-identified/car-identified.jpg)\n", - "\n", - "To implement a sliding window search, you need to decide what size window you want to search, where in the image you want to start and stop your search, and how much you want windows to overlap. So, let's try an example to see how many windows we would be searching given a particular image size, window size, and overlap.\n", - "\n", - "Suppose you have an image that is 256 x 256 pixels and you want to search windows of a size 128 x 128 pixels each with an overlap of 50% between adjacent windows in both the vertical and horizontal dimensions. Your sliding window search would then look like this:\n", - "\n", - "![Cars](https://d17h27t6h515a5.cloudfront.net/topher/2016/December/585d80c2_sliding-window/sliding-window.jpg)\n", - "\n", - "The goal here is to write a function that takes in an image, start and stop positions in both x and y (imagine a bounding box for the entire search region), window size (x and y dimensions), and overlap fraction (also for both x and y). The function should return a list of bounding boxes for the search windows, which will then be passed to draw draw_boxes() function." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def slide_window(img, x_start_stop=[None, None], y_start_stop=[None, None], \n", - " xy_window=(64, 64), xy_overlap=(0.5, 0.5)):\n", - " # If x and/or y start/stop positions not defined, set to image size\n", - " if x_start_stop[0] == None:\n", - " x_start_stop[0] = 0\n", - " if x_start_stop[1] == None:\n", - " x_start_stop[1] = img.shape[1]\n", - " if y_start_stop[0] == None:\n", - " y_start_stop[0] = 0\n", - " if y_start_stop[1] == None:\n", - " y_start_stop[1] = img.shape[0]\n", - " \n", - " # Compute the span of the region to be searched \n", - " xspan = x_start_stop[1] - x_start_stop[0]\n", - " yspan = y_start_stop[1] - y_start_stop[0]\n", - " \n", - " # Compute the number of pixels per step in x/y\n", - " nx_pix_per_step = np.int(xy_window[0]*(1 - xy_overlap[0]))\n", - " ny_pix_per_step = np.int(xy_window[1]*(1 - xy_overlap[1]))\n", - " \n", - " # Compute the number of windows in x/y\n", - " nx_buffer = np.int(xy_window[0]*(xy_overlap[0]))\n", - " ny_buffer = np.int(xy_window[1]*(xy_overlap[1]))\n", - " \n", - " nx_windows = np.int((xspan-nx_buffer)/nx_pix_per_step) \n", - " ny_windows = np.int((yspan-ny_buffer)/ny_pix_per_step)\n", - " \n", - " # Initialize a list to append window positions to\n", - " window_list = []\n", - " \n", - " # Loop through finding x and y window positions\n", - " # Note: you could vectorize this step, but in practice\n", - " # you'll be considering windows one by one with your\n", - " # classifier, so looping makes sense\n", - " for ys in range(ny_windows):\n", - " for xs in range(nx_windows):\n", - " # Calculate window position\n", - " startx = xs*nx_pix_per_step + x_start_stop[0]\n", - " endx = startx + xy_window[0]\n", - " starty = ys*ny_pix_per_step + y_start_stop[0]\n", - " endy = starty + xy_window[1]\n", - " # Append window position to list\n", - " window_list.append(((startx, starty), (endx, endy)))\n", - " # Return the list of windows\n", - " return window_list" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def draw_boxes(img, bboxes, color=(0, 0, 255), thick=6):\n", - " # Make a copy of the image\n", - " imcopy = np.copy(img)\n", - " # Iterate through the bounding boxes\n", - " for bbox in bboxes:\n", - " # Draw a rectangle given bbox coordinates\n", - " cv2.rectangle(imcopy, bbox[0], bbox[1], color, thick)\n", - " # Return the image copy with boxes drawn\n", - " return imcopy" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Now, we define two new functions: *single_img_features()* and *search_windows()*. We can use these to search over all the windows defined by your slide_windows(), extract features at each window position, and predict with our classifier on each set of features." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Define a function to extract features from a single image window\n", - "# This function is very similar to extract_features()\n", - "# just for a single image rather than list of images\n", - "def single_img_features(img, color_space='RGB', spatial_size=(32, 32),\n", - " hist_bins=32, orient=9, \n", - " pix_per_cell=8, cell_per_block=2, hog_channel=0,\n", - " spatial_feat=True, hist_feat=True, hog_feat=True): \n", - " #1) Define an empty list to receive features\n", - " img_features = []\n", - " #2) Apply color conversion if other than 'RGB'\n", - " if color_space != 'RGB':\n", - " if color_space == 'HSV':\n", - " feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2HSV)\n", - " elif color_space == 'LUV':\n", - " feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2LUV)\n", - " elif color_space == 'HLS':\n", - " feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2HLS)\n", - " elif color_space == 'YUV':\n", - " feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2YUV)\n", - " elif color_space == 'YCrCb':\n", - " feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2YCrCb)\n", - " else: \n", - " feature_image = np.copy(img) \n", - " \n", - " #3) Compute spatial features if flag is set\n", - " if spatial_feat == True:\n", - " spatial_features = bin_spatial(feature_image, size=spatial_size)\n", - " \n", - " #4) Append features to list\n", - " img_features.append(spatial_features)\n", - " \n", - " #5) Compute histogram features if flag is set\n", - " if hist_feat == True:\n", - " hist_features = color_hist(feature_image, nbins=hist_bins)\n", - " \n", - " #6) Append features to list\n", - " img_features.append(hist_features)\n", - " \n", - " #7) Compute HOG features if flag is set\n", - " if hog_feat == True:\n", - " if hog_channel == 'ALL':\n", - " hog_features = []\n", - " for channel in range(feature_image.shape[2]):\n", - " hog_features.extend(get_hog_features(feature_image[:,:,channel], \n", - " orient, pix_per_cell, cell_per_block, \n", - " vis=False, feature_vec=True)) \n", - " else:\n", - " hog_features = get_hog_features(feature_image[:,:,hog_channel], orient, \n", - " pix_per_cell, cell_per_block, vis=False, feature_vec=True)\n", - " #8) Append features to list\n", - " img_features.append(hog_features)\n", - "\n", - " #9) Return concatenated array of features\n", - " return np.concatenate(img_features)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Define a function you will pass an image \n", - "# and the list of windows to be searched (output of slide_windows())\n", - "\n", - "def search_windows(img, windows, clf, scaler, color_space='RGB',\n", - " spatial_size=(16, 16), hist_bins=32,\n", - " hist_range=(0, 256), orient=9,\n", - " pix_per_cell=8, cell_per_block=2,\n", - " hog_channel=0, spatial_feat=True,\n", - " hist_feat=True, hog_feat=True):\n", - "\n", - " #1) Create an empty list to receive positive detection windows\n", - " on_windows = []\n", - " #2) Iterate over all windows in the list\n", - " for window in windows:\n", - " #3) Extract the test window from original image\n", - " test_img = cv2.resize(img[window[0][1]:window[1][1], window[0][0]:window[1][0]], (64, 64))\n", - " #4) Extract features for that window using single_img_features()\n", - " features = single_img_features(test_img, color_space=colorspace,\n", - " spatial_size=spatial_size, hist_bins=hist_bins,\n", - " orient=orient, pix_per_cell=pix_per_cell,\n", - " cell_per_block=cell_per_block,\n", - " hog_channel=hog_channel, spatial_feat=True,\n", - " hist_feat=True, hog_feat=True)\n", - " #5) Scale extracted features to be fed to classifier\n", - " print(features.shape)\n", - " features = np.array(features)\n", - " X = np.array(features).reshape(1, -1)\n", - " test_features = scaler.transform(X)\n", - "\n", - " #6) Predict using your classifier\n", - " prediction = clf.predict(features)\n", - " #7) If positive (prediction == 1) then save the window\n", - " if prediction == 1:\n", - " on_windows.append(window)\n", - " #8) Return windows for positive detections\n", - " return on_windows" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Convert windows to heatmap numpy array.\n", - "def create_heatmap(windows, image_shape):\n", - " background = np.zeros(image_shape[:2])\n", - " for window in windows:\n", - " background[window[0][1]:window[1][1], window[0][0]:window[1][0]] += 1\n", - " return background\n", - "\n", - "# find the nonzero areas from a heatmap and\n", - "# turn them to windows\n", - "def find_windows_from_heatmap(image):\n", - " hot_windows = []\n", - " # Threshold the heatmap\n", - " thres = 0\n", - " image[image <= thres] = 0\n", - " # Set labels\n", - " labels = ndi.label(image)\n", - " # iterate through labels and find windows\n", - " for car_number in range(1, labels[1]+1):\n", - " # Find pixels with each car_number label value\n", - " nonzero = (labels[0] == car_number).nonzero()\n", - " # Identify x and y values of those pixels\n", - " nonzeroy = np.array(nonzero[0])\n", - " nonzerox = np.array(nonzero[1])\n", - " # Define a bounding box based on min/max x and y\n", - " bbox = ((np.min(nonzerox), np.min(nonzeroy)), (np.max(nonzerox), np.max(nonzeroy)))\n", - " hot_windows.append(bbox)\n", - " return hot_windows\n", - "\n", - "def combine_boxes(windows, image_shape):\n", - " hot_windows = []\n", - " image = None\n", - " if len(windows)>0:\n", - " # Create heatmap with windows\n", - " image = create_heatmap(windows, image_shape)\n", - " # find boxes from heatmap\n", - " hot_windows = find_windows_from_heatmap(image)\n", - " # return new windows\n", - " return hot_windows" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "# Divide up into cars and notcars\n", - "car_images = glob.glob('./images/vehicles/vehicles/*/*png')\n", - "non_car_images = glob.glob('./images/non-vehicles/non-vehicles/*/*png')\n", - "cars = []\n", - "notcars = []\n", - "for image in car_images:\n", - " cars.append(image)\n", - "\n", - "for image in non_car_images:\n", - " notcars.append(image)\n", - "\n", - "\n", - "colorspace = 'YCrCb' # Can be RGB, HSV, LUV, HLS, YUV, YCrCb\n", - "orient = 8\n", - "pix_per_cell = 8\n", - "cell_per_block = 2\n", - "hog_channel = \"ALL\" # Can be 0, 1, 2, or \"ALL\"\n", - "spatial_size = (16, 16)\n", - "hist_bins = 32\n", - "hist_range=(0, 256)\n", - "\n", - "#DO REMEMBER TO CHANGE THIS TO TRUE WHILE TRAINING, AND BACK TO FALSE AFTER TRAINING!!\n", - "train_model = False\n", - "#HLS, 4, 8, 95+\n", - "#YCrCb, 4, 8, 95+\n", - "filename_train = './classifier.joblib.pkl'\n", - "filename_scaler = './scaler.joblib.pkl'" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Combine and Normalize Features\n", - "\n", - "![Image](https://d17h27t6h515a5.cloudfront.net/topher/2016/December/585c6731_scaled-features-vis/scaled-features-vis.jpg)\n", - "Now that we've got several feature extraction methods in your toolkit, we're almost ready to train a classifier, but first, as in any machine learning application, we need to normalize your data. Python's sklearn package provides you with the StandardScaler() method to accomplish this task. To read more about how you can choose different normalizations with the StandardScaler() method, check out the [documentation](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html).\n", - "\n", - "To apply StandardScaler() we need to first have your data in the right format, as a numpy array where each row is a single feature vector. We can create a list of feature vectors, and then convert them like this:\n", - "```\n", - "import numpy as np\n", - "feature_list = [feature_vec1, feature_vec2, ...]\n", - "# Create an array stack, NOTE: StandardScaler() expects np.float64\n", - "X = np.vstack(feature_list).astype(np.float64)\n", - "```\n", - "You can then fit a scaler to X, and scale it like this:\n", - "```\n", - "from sklearn.preprocessing import StandardScaler\n", - "# Fit a per-column scaler\n", - "X_scaler = StandardScaler().fit(X)\n", - "# Apply the scaler to X\n", - "scaled_X = X_scaler.transform(X)\n", - "```\n", - "Now, scaled_X contains the normalized feature vectors.\n", - "\n", - "Now we gotta write a function that takes in a list of image filenames, then reads them one by one, then applies a color conversion (if necessary) and uses bin_spatial() and color_hist() to generate feature vectors. The function should then concatenate those two feature vectors and append the result to a list. After cycling through all the images, the function should return the list of feature vectors. Something like this:\n", - "```\n", - "# Define a function to extract features from a list of images\n", - "# Have this function call bin_spatial() and color_hist()\n", - "def extract_features(imgs, cspace='RGB', spatial_size=(32, 32),\n", - " hist_bins=32, hist_range=(0, 256)):\n", - " # Create a list to append feature vectors to\n", - " features = []\n", - " # Iterate through the list of images\n", - " # Read in each one by one\n", - " # apply color conversion if other than 'RGB'\n", - " # Apply bin_spatial() to get spatial color features\n", - " # Apply color_hist() to get color histogram features\n", - " # Append the new feature vector to the features list\n", - " # Return list of feature vectors\n", - " return features\n", - "```" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### SVM Hyperparameters\n", - "We can optimize the Gamma and C parameters for an SVC classifier.\n", - "\n", - "Successfully tuning your algorithm involves searching for a kernel, a gamma value and a C value that minimize prediction error. To tune your SVM vehicle detection model, you can use one of scikit-learn's parameter tuning algorithms.\n", - "\n", - "When tuning SVM, remember that you can only tune the C parameter with a linear kernel. For a non-linear kernel, you can tune C and gamma.\n", - "\n", - "#### Parameter Tuning in Scikit-learn\n", - "Scikit-learn includes two algorithms for carrying out an automatic parameter search:\n", - "\n", - "* [GridSearchCV](http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html#sklearn.model_selection.GridSearchCV)\n", - "* [RandomizedSearchCV](http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html#sklearn.model_selection.RandomizedSearchCV)\n", - "\n", - "GridSearchCV exhaustively works through multiple parameter combinations, cross-validating as it goes. The beauty is that it can work through many combinations in only a couple extra lines of code.\n", - "\n", - "For example, if I input the values C:[0.1, 1, 10] and gamma:[0.1, 1, 10], gridSearchCV will train and cross-validate every possible combination of (C, gamma): (0.1, 0.1), (0.1, 1), (0.1, 10), (1, .1), (1, 1), etc.\n", - "\n", - "RandomizedSearchCV works similarly to GridSearchCV except RandomizedSearchCV takes a random sample of parameter combinations. RandomizedSearchCV is faster than GridSearchCV since RandomizedSearchCV uses a subset of the parameter combinations.\n", - "\n", - "#### Cross-validation with GridSearchCV\n", - "GridSearchCV uses 3-fold cross validation to determine the best performing parameter set. GridSearchCV will take in a training set and divide the training set into three equal partitions. The algorithm will train on two partitions and then validate using the third partition. Then GridSearchCV chooses a different partition for validation and trains with the other two partitions. Finally, GridSearchCV uses the last remaining partition for cross-validation and trains with the other two partitions.\n", - "\n", - "By default, GridSearchCV uses accuracy as an error metric by averaging the accuracy for each partition. So for every possible parameter combination, GridSearchCV calculates an accuracy score. Then GridSearchCV will choose the parameter combination that performed the best.\n", - "\n", - "scikit-learn Cross Validation Example\n", - "Here's an example from the sklearn documentation for implementing GridSearchCV:\n", - "```\n", - "parameters = {'kernel':('linear', 'rbf'), 'C':[1, 10]}\n", - "svr = svm.SVC()\n", - "clf = grid_search.GridSearchCV(svr, parameters)\n", - "clf.fit(iris.data, iris.target)\n", - "```\n", - "Let's break this down line by line.\n", - "\n", - "```\n", - "parameters = {'kernel':('linear', 'rbf'), 'C':[1, 10]}\n", - "\n", - "``` \n", - "\n", - "A dictionary of the parameters, and the possible values they may take. In this case, they're playing around with the kernel (possible choices are 'linear' and 'rbf'), and C (possible choices are 1 and 10).\n", - "\n", - "Then a 'grid' of all the following combinations of values for (kernel, C) are automatically generated:\n", - "\n", - "('rbf', 1)\t('rbf', 10)\n", - "('linear', 1)\t('linear', 10)\n", - "\n", - "Each is used to train an SVM, and the performance is then assessed using cross-validation.\n", - "\n", - "```\n", - "svr = svm.SVC() \n", - "```\n", - "This looks kind of like creating a classifier, just like we've been doing since the first lesson. But note that the \"clf\" isn't made until the next line--this is just saying what kind of algorithm to use. Another way to think about this is that the \"classifier\" isn't just the algorithm in this case, it's algorithm plus parameter values. Note that there's no monkeying around with the kernel or C; all that is handled in the next line.\n", - "\n", - "```\n", - "clf = grid_search.GridSearchCV(svr, parameters) \n", - "```\n", - "This is where the first bit of magic happens; the classifier is being created. We pass the algorithm (svr) and the dictionary of parameters to try (parameters) and it generates a grid of parameter combinations to try.\n", - "\n", - "```\n", - "clf.fit(iris.data, iris.target) \n", - "```\n", - "And the second bit of magic. The fit function now tries all the parameter combinations, and returns a fitted classifier that's automatically tuned to the optimal parameter combination. You can now access the parameter values via clf.best_params_." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "# parameters for GridSearchCV\n", - "#grid_search_parameters = {'kernel':('linear', 'rbf', 'poly'), 'C':[0.001, 0.01, 0.1, 1, 10], 'gamma': [0.001, 0.01, 0.1, 1]}\n", - "if train_model:\n", - " t=time.time()\n", - " car_features = extract_features(cars, cspace=colorspace, orient=orient,\n", - " pix_per_cell=pix_per_cell, cell_per_block=cell_per_block,\n", - " hog_channel=hog_channel)\n", - " notcar_features = extract_features(notcars, cspace=colorspace, orient=orient,\n", - " pix_per_cell=pix_per_cell, cell_per_block=cell_per_block,\n", - " hog_channel=hog_channel)\n", - " t2 = time.time()\n", - " print(round(t2-t, 2), 'Seconds to extract HOG features...')\n", - "\n", - " print(\"car feature shape: \", len(car_features))\n", - " print(\"non-car feature shape: \", len(notcar_features))\n", - " # Create an array stack of feature vectors\n", - " X = np.vstack((car_features, notcar_features)).astype(np.float64)\n", - " y = np.hstack((np.ones(len(car_features)), np.zeros(len(notcar_features))))\n", - "\n", - " # Fit a per-column scaler\n", - " X_scaler = StandardScaler().fit(X)\n", - " # Apply the scaler to X\n", - " \n", - " scaled_X = X_scaler.transform(X)\n", - " \n", - " \n", - " # Split up data into randomized training and test sets\n", - " rand_state = np.random.randint(0, 100)\n", - " X_train, X_test, y_train, y_test = train_test_split(\n", - " scaled_X, y, test_size=0.2, random_state=rand_state)\n", - "\n", - " # Use a linear SVC\n", - " clf = svm.SVC(kernel='linear', C=0.001, gamma=0.001)\n", - " # Check the training time for the SVC\n", - " t=time.time()\n", - " #clf = GridSearchCV(svc, grid_search_parameters)\n", - " clf.fit(X_train, y_train)\n", - " t2 = time.time()\n", - " print(round(t2-t, 2), 'Seconds to train SVC...')\n", - " # Check the score of the SVC\n", - " print('Test Accuracy of SVC = ', round(clf.score(X_test, y_test), 4))\n", - " # Check the prediction time for a single sample\n", - " t=time.time()\n", - " n_predict = 10\n", - " print('My SVC predicts: ', clf.predict(X_test[0:n_predict]))\n", - " print('For these',n_predict, 'labels: ', y_test[0:n_predict])\n", - " t2 = time.time()\n", - " print(round(t2-t, 5), 'Seconds to predict', n_predict,'labels with SVC')\n", - "\n", - " # save the trained model\n", - " _ = joblib.dump(clf, filename_train, compress=9)\n", - " _ = joblib.dump(X_scaler, filename_scaler, compress=9)\n", - "else:\n", - " # load the trained model\n", - " clf = joblib.load(filename_train)\n", - " X_scaler = joblib.load(filename_scaler)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "def process_image(image):\n", - " \"\"\"\n", - " Pipeline to detect and track vehicles across images of video frames\n", - " \"\"\"\n", - " draw_image = np.copy(image)\n", - "\n", - " windows = slide_window(image, x_start_stop=[None, None], y_start_stop=[400, 640],\n", - " xy_window=(96, 96), xy_overlap=(0.75, 0.75))\n", - "\n", - " windows += slide_window(image, x_start_stop=[32, None], y_start_stop=[400, 610],\n", - " xy_window=(144, 144), xy_overlap=(0.75, 0.75))\n", - " windows += slide_window(image, x_start_stop=[410, 1280], y_start_stop=[390, 540],\n", - " xy_window=(192, 192), xy_overlap=(0.75, 0.75))\n", - "\n", - " hot_windows = search_windows(image, windows, clf, X_scaler, color_space=colorspace,\n", - " spatial_size=spatial_size, hist_bins=hist_bins,\n", - " orient=orient, pix_per_cell=pix_per_cell,\n", - " cell_per_block=cell_per_block,\n", - " hog_channel=hog_channel, spatial_feat=True,\n", - " hist_feat=True, hog_feat=True)\n", - "\n", - "\n", - " #draw_image = draw_boxes(draw_image, hot_windows, color=(255, 0, 0), thick=6)\n", - " combined_windows = combine_boxes(hot_windows, image.shape)\n", - " filtered_windows = []\n", - " # no car detection yet, create new detections and add them to the list.\n", - " if len(detections) == 0:\n", - " for window in combined_windows:\n", - " box_points = get_box_points(window)\n", - " new_car = Detection()\n", - " new_car.add(box_points)\n", - " detections.append(new_car)\n", - " window_img = draw_boxes(draw_image, filtered_windows, color=(0, 0, 255), thick=6)\n", - " return window_img\n", - " else:\n", - " boxes_copy = copy.copy(combined_windows)\n", - " # Run thorugh all the existing detections and see if any new detections\n", - " # matche with them.\n", - " # if match is found add to the detection.\n", - " # If not found decrease the confidence of the previous detection.\n", - " non_detected_cars_idxs = []\n", - " for car_idx, car in enumerate(detections):\n", - " match_found = False\n", - " box_detection_idx = 0\n", - " for idx, box in enumerate(boxes_copy):\n", - " box_points = get_box_points(box)\n", - " if car.match_detection(box_points):\n", - " match_found = True\n", - " if car.consecutive_detection >= min_consecutive_detection:\n", - " average_box = car.average_detections()\n", - " filtered_windows.append(((average_box[0],average_box[1]),(average_box[2], average_box[3])))\n", - "\n", - "\t\t # remove after the match.\n", - " box_detection_idx = idx\n", - " # Match for the car is found, break the inner loop\n", - " break\n", - "\n", - " # Match not found for the previous detection, decrease its confidence.\n", - " # The delete detections is true, remove the detection from the list of previous detections.\n", - " if not match_found:\n", - " delete_Detection = car.failed_detect()\n", - " if delete_Detection:\n", - " non_detected_cars_idxs.append(car_idx)\n", - " else:\n", - " average_box = car.average_detections()\n", - " filtered_windows.append(((average_box[0],average_box[1]),(average_box[2], average_box[3])))\n", - " else:\n", - " # Delete the detected box from the list of boxes to be mathched.\n", - " del boxes_copy[box_detection_idx]\n", - "\n", - " # Remove all the undetected cars from the list of detections using thier saved index.\n", - " if len(non_detected_cars_idxs) > 0:\n", - " non_detected_cars_idxs = non_detected_cars_idxs[::-1]\n", - " for i in non_detected_cars_idxs:\n", - " del detections[i]\n", - "\n", - " # Add the unmatched boxes to the detections array.\n", - " for box in boxes_copy:\n", - " box_points = get_box_points(box)\n", - " new_car = Detection()\n", - " new_car.add(box_points)\n", - " detections.append(new_car)\n", - "\n", - " # If the match is not found decrease the confidence of the detection.\n", - "\n", - "\n", - "\n", - " window_img = draw_boxes(draw_image, filtered_windows, color=(0, 0, 255), thick=6)\n", - "\n", - " return window_img\n", - "\n", - "def get_box_points(box):\n", - " \"\"\"\n", - " Takes in box points of form ((x1,y1), (x2, y2)) and converts it to form\n", - " [x1, y1, x2, y2].\n", - " \"\"\"\n", - " box_points = []\n", - " x1, y1 = box[0]\n", - " x2, y2 = box[1]\n", - "\n", - " box_points.append(x1)\n", - " box_points.append(y1)\n", - " box_points.append(x2)\n", - " box_points.append(y2)\n", - " return box_points\n", - "\n", - "\n", - "margin = 100\n", - "min_consecutive_detection = 8\n", - "max_allowed_miss = 4\n", - "confidence_thresh = 10\n", - "\n", - "def is_within_margin(a, b):\n", - " if abs(a-b) > margin:\n", - " return False\n", - " return True\n", - "\n", - "class Detection():\n", - " def __init__(self):\n", - " # the box coordinates in the form [x1,y1,x2,y2]\n", - " self.last_box = []\n", - " # number of consecutive frames in which the car has been detected.\n", - " self.consecutive_detection = 0\n", - " # number of consecutive frames in which the car has not been found.\n", - " self.consecutive_miss = 0\n", - " # the box coordinates of last n detections in the form deque([[x1, y1, x2, y2], [x1, y1, x2, y2], [x1, y1, x2, y2]...], maxlen=5)\n", - " self.last_n_detections = deque(maxlen=10)\n", - " # [avg x1 , avg y1, avg x2, avgy2] of last n detections.\n", - " self.average_box = []\n", - "\n", - " def add(self, box):\n", - " \"\"\"\n", - " box argument should be of format [x1, y1, x2, y2]\n", - " \"\"\"\n", - " self.last_box = box\n", - " self.consecutive_detection = self.consecutive_detection + 1\n", - " self.last_n_detections.append(box)\n", - " self.average_detections()\n", - " # set the previous count of consecutive misses to 0.\n", - " self.consecutive_miss = 0\n", - "\n", - " def average_detections(self):\n", - " \"\"\"\n", - " Find the mean of detections in the deque.\n", - " \"\"\"\n", - "\n", - " self.average_box = np.mean(self.last_n_detections, axis=0)\n", - " return self.average_box\n", - "\n", - " def match_detection(self, box):\n", - " \"\"\"\n", - " Checks whether the box is very close/similar to the [x1, y1, x2, y2]\n", - " box argument should be of format [x1, y1, x2, y2]\n", - " \"\"\"\n", - " i = 0\n", - " for point in box:\n", - " # see if all the points in the box lies within the margin of the last detection.\n", - "\n", - " if not is_within_margin(point, self.last_box[i]):\n", - " return False\n", - " i = i + 1\n", - " # If the match found then add it to the detection.\n", - " self.add(box)\n", - " return True\n", - "\n", - " def failed_detect(self):\n", - " delete_detection = True\n", - " self.consecutive_miss = self.consecutive_miss + 1\n", - " # In case the car doesn't get for more than 3 frames consecutively we discard the\n", - " # object.\n", - " if self.consecutive_miss > max_allowed_miss:\n", - " return delete_detection\n", - " # This helps remove the stray false positives which doesn't get detected in\n", - " # consecutive frames.\n", - " if self.consecutive_detection < min_consecutive_detection:\n", - " return delete_detection\n", - "\n", - "\n", - " # Wait till you the miss becomes greater than max_allowed_miss.\n", - " return False\n", - "\n", - "\n", - "# array of Detection class.\n", - "detections = []\n", - "# output video directory\n", - "video_output = './video-tracking-output.mp4'\n", - "# input video directory\n", - "clip1 = VideoFileClip(\"project_video.mp4\")\n", - "# video process pipline\n", - "#video_clip = clip1.fl_image(process_image)\n", - "# write processed files\n", - "#video_clip.write_videofile(video_output, audio=False)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.1" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/vehicle-detection/README.md b/vehicle-detection/README.md deleted file mode 100644 index 54f3908..0000000 --- a/vehicle-detection/README.md +++ /dev/null @@ -1,10 +0,0 @@ -# Vehicle Detection using Machine Learning - -### To install and run this software: -* Install the Udacity Self driving Anaconda Environment from [here](https://github.com/udacity/CarND-Term1-Starter-Kit) and follow the instructions. -* Download the training data for [cars](https://s3.amazonaws.com/udacity-sdc/Vehicle_Tracking/vehicles.zip) and non-cars(https://s3.amazonaws.com/udacity-sdc/Vehicle_Tracking/non-vehicles.zip). -* Download the live video from [here](https://github.com/udacity/CarND-Advanced-Lane-Lines/blob/master/harder_challenge_video.mp4) -* To run the training, set the flag *train_model* to *True*. -* After training, the output video will be in the project root folder. - -## View the [Project Proposal review](https://review.udacity.com/#!/reviews/863649) \ No newline at end of file diff --git a/vehicle-detection/Vehicle Detection.ipynb b/vehicle-detection/Vehicle Detection.ipynb deleted file mode 100644 index 88f9166..0000000 --- a/vehicle-detection/Vehicle Detection.ipynb +++ /dev/null @@ -1,1021 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Vehicle detection using Machine Learning\n", - "\n", - "I've made a python notebook to offer detailed explanations about the process. Much of these explanations are directly taken from Udacity's Self Driving Car Course" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "import matplotlib.image as mpimg\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "import cv2\n", - "import glob\n", - "import time\n", - "import pickle\n", - "import copy\n", - "from sklearn import svm\n", - "from sklearn.preprocessing import StandardScaler\n", - "from sklearn.model_selection import GridSearchCV\n", - "from skimage.feature import hog\n", - "from sklearn.externals import joblib\n", - "from scipy import ndimage as ndi\n", - "import imageio\n", - "imageio.plugins.ffmpeg.download()\n", - "from moviepy.editor import VideoFileClip\n", - "from collections import deque\n", - "from sklearn.cross_validation import train_test_split\n", - "\n", - "import numpy as np\n", - "import cv2\n", - "from skimage.feature import hog" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def convert_color(img, conv='RGB2YCrCb'):\n", - " if conv == 'RGB2YCrCb':\n", - " return cv2.cvtColor(img, cv2.COLOR_RGB2YCrCb)\n", - " if conv == 'BGR2YCrCb':\n", - " return cv2.cvtColor(img, cv2.COLOR_BGR2YCrCb)\n", - " if conv == 'RGB2LUV':\n", - " return cv2.cvtColor(img, cv2.COLOR_RGB2LUV)\n", - " if conv == 'HLS':\n", - " return cv2.cvtColor(img, cv2.COLOR_RGB2HLS)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Spatial Binning\n", - "![Spatial Binning](https://d17h27t6h515a5.cloudfront.net/topher/2016/December/585c6ac5_spatial-binning/spatial-binning.jpg)\n", - "\n", - "Template matching is not a particularly robust method for finding vehicles unless you know exactly what your target object looks like. However, raw pixel values are still quite useful to include in your feature vector in searching for cars.\n", - "\n", - "While it could be cumbersome to include three color channels of a full resolution image, you can perform spatial binning on an image and still retain enough information to help in finding vehicles.\n", - "\n", - "As you can see in the example above, even going all the way down to 32 x 32 pixel resolution, the car itself is still clearly identifiable by eye, and this means that the relevant features are still preserved at this resolution.\n", - "\n", - "A convenient function for scaling down the resolution of an image is OpenCV's cv2.resize(). You can use it to scale a color image or a single color channel like this (you can find the original image here):\n", - "\n", - "```\n", - "import cv2\n", - "import matplotlib.image as mpimg\n", - "\n", - "image = mpimg.imread('test_img.jpg')\n", - "small_img = cv2.resize(image, (32, 32))\n", - "print(small_img.shape)\n", - "(32, 32, 3)\n", - "```\n", - "\n", - "If you then wanted to convert this to a one dimensional [feature](https://en.wikipedia.org/wiki/Feature_vector) vector, you could simply say something like:\n", - "```\n", - "feature_vec = small_img.ravel()\n", - "print(feature_vec.shape)\n", - "(3072,)\n", - "```\n", - "\n", - "And the output would look someting like this - \n", - "\n", - "![Output](https://lh3.googleusercontent.com/qySCZslEqbnMoUXF0BU0NurTQl9TJqw6AsxG0TZQRQ5kbB_9OkAZ7Y3-1sIAX-LQurzT5bLJDuzmA54IT8A)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def bin_spatial(img, size=(32, 32)):\n", - " # Convert image to new color space (if specified)\n", - " # Use cv2.resize().ravel() to create the feature vector\n", - " # Return the feature vector\n", - " color1 = cv2.resize(img[:,:,0], size).ravel()\n", - " color2 = cv2.resize(img[:,:,1], size).ravel()\n", - " color3 = cv2.resize(img[:,:,2], size).ravel()\n", - " return np.hstack((color1, color2, color3))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Color Histograms:\n", - "\n", - "An image template is useful for detecting things that do not vary much in their appearance - for example, icons of emojis.\n", - "But for most real world objects that do appear in different forms, orientation, and sizes, this technique does not\n", - "work quite well. In template matching, you depend on raw color values laid out in a specific order, and that can vary a lot.\n", - "So you need to find some transformations that are robust to changes in appearance. One such transform is to compute\n", - "a histogram of color values for an image.\n", - "\n", - "When you compare the histogram of a known object with the regions of a test image, locations with a similar color distribution will reveal a close match. So we are no longer sensitive to a perfect arrangement of pixels. So objects that appear in slightly different orientations and sizes will still be a match.\n", - "\n", - "You can construct histograms of the R, G, and B channels like this:\n", - "\n", - "```\n", - "import matplotlib.image as mpimg\n", - "import numpy as np\n", - "\n", - "# Read in the image\n", - "image = mpimg.imread('cutout1.jpg')\n", - "\n", - "# Take histograms in R, G, and B\n", - "rhist = np.histogram(image[:,:,0], bins=32, range=(0, 256))\n", - "ghist = np.histogram(image[:,:,1], bins=32, range=(0, 256))\n", - "bhist = np.histogram(image[:,:,2], bins=32, range=(0, 256))\n", - "```\n", - "\n", - "With np.histogram(), you don't actually have to specify the number of bins or the range, but here I've arbitrarily chosen 32 bins and specified range=(0, 256) in order to get orderly bin sizes. np.histogram() returns a tuple of two arrays. In this case, for example, rhist[0] contains the counts in each of the bins and rhist[1] contains the bin edges (so it is one element longer than rhist[0]).\n", - "\n", - "To look at a plot of these results, we can compute the bin centers from the bin edges. Each of the histograms in this case have the same bins, so we can just use the rhist bin edges:\n", - "\n", - "```\n", - "# Generating bin centers\n", - "bin_edges = rhist[1]\n", - "bin_centers = (bin_edges[1:] + bin_edges[0:len(bin_edges)-1])/2\n", - "```\n", - "And then summing up the results in a bar chart: \n", - "```\n", - "# Plot a figure with all three bar charts\n", - "fig = plt.figure(figsize=(12,3))\n", - "plt.subplot(131)\n", - "plt.bar(bin_centers, rhist[0])\n", - "plt.xlim(0, 256)\n", - "plt.title('R Histogram')\n", - "plt.subplot(132)\n", - "plt.bar(bin_centers, ghist[0])\n", - "plt.xlim(0, 256)\n", - "plt.title('G Histogram')\n", - "plt.subplot(133)\n", - "plt.bar(bin_centers, bhist[0])\n", - "plt.xlim(0, 256)\n", - "plt.title('B Histogram')\n", - "```\n", - "\n", - "The output should look like this:\n", - "\n", - "![Output](https://d17h27t6h515a5.cloudfront.net/topher/2016/December/585b1c43_rgb-histogram-plot/rgb-histogram-plot.jpg)\n", - "\n", - "These, collectively, are now our feature vector for this particular cutout image. We can concatenate them in the following way:\n", - "\n", - "```hist_features = np.concatenate((rhist[0], ghist[0], bhist[0]))```" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Define a function to compute color histogram features \n", - "def color_hist(img, nbins=32, bins_range=(0, 256)):\n", - " # Compute the histogram of the color channels separately\n", - " channel1_hist = np.histogram(img[:,:,0], bins=nbins, range=bins_range)\n", - " channel2_hist = np.histogram(img[:,:,1], bins=nbins, range=bins_range)\n", - " channel3_hist = np.histogram(img[:,:,2], bins=nbins, range=bins_range)\n", - " # Concatenate the histograms into a single feature vector\n", - " hist_features = np.concatenate((channel1_hist[0], channel2_hist[0], channel3_hist[0]))\n", - " # Return the individual histograms, bin_centers and feature vector\n", - " return hist_features" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Histogram of Gradients (HoG)\n", - "\n", - "Read more about it here - https://www.learnopencv.com/histogram-of-oriented-gradients/\n", - "\n", - "The scikit-image package has a built in function to extract Histogram of Oriented Gradient features. The documentation for this function can be found [here](http://scikit-image.org/docs/dev/api/skimage.feature.html?highlight=feature%20hog#skimage.feature.hog) and a brief explanation of the algorithm and tutorial can be found [here](http://scikit-image.org/docs/dev/auto_examples/features_detection/plot_hog.html).\n", - "\n", - "The scikit-image *hog()* function takes in a single color channel or grayscaled image as input, as well as various parameters. These parameters include orientations, pixels_per_cell and cells_per_block.\n", - "\n", - "The *number of orientations* is specified as an integer, and represents the number of orientation bins that the gradient information will be split up into in the histogram. Typical values are between 6 and 12 bins.\n", - "\n", - "The *pixels_per_cell* parameter specifies the cell size over which each gradient histogram is computed. This paramater is passed as a 2-tuple so you could have different cell sizes in x and y, but cells are commonly chosen to be square.\n", - "\n", - "The *cells_per_block* parameter is also passed as a 2-tuple, and specifies the local area over which the histogram counts in a given cell will be normalized. Block normalization is not necessarily required, but generally leads to a more robust feature set.\n", - "\n", - "There is another optional power law or \"gamma\" normalization scheme set by the flag transform_sqrt. This type of normalization may help reduce the effects of shadows or other illumination variation, but will cause an error if your image contains negative values (because it's taking the square root of image values).\n", - "\n", - "![HOG](https://d17h27t6h515a5.cloudfront.net/topher/2016/December/585b6011_hog-visualization/hog-visualization.jpg)\n", - "\n", - "This is where things get a little confusing though. Let's say you are computing HOG features for an image like the one shown above that is 64×64 pixels. If you set pixels_per_cell=(8, 8) and cells_per_block=(2, 2) and orientations=9. How many elements will you have in your HOG feature vector for the entire image?\n", - "\n", - "You might guess the number of orientations times the number of cells, or 9×8×8=576, but that's not the case if you're using block normalization! In fact, the HOG features for all cells in each block are computed at each block position and the block steps across and down through the image cell by cell.\n", - "\n", - "So, the actual number of features in your final feature vector will be the total number of block positions multiplied by the number of cells per block, times the number of orientations, or in the case shown above: 7×7×2×2×9=1764.\n", - "For the example above, you would call the hog() function on a single color channel img like this:\n", - "\n", - "```\n", - "from skimage.feature import hog\n", - "pix_per_cell = 8\n", - "cell_per_block = 2\n", - "orient = 9\n", - "\n", - "features, hog_image = hog(img, orientations=orient,\n", - " pixels_per_cell=(pix_per_cell, pix_per_cell), \n", - " cells_per_block=(cell_per_block, cell_per_block), \n", - " visualise=True, feature_vector=False,\n", - " block_norm=\"L2-Hys\")\n", - "```\n", - "The visualise=True flag tells the function to output a visualization of the HOG feature computation as well, which we're calling hog_image in this case. If we take a look at a single color channel for a random car image, and its corresponding HOG visulization, they look like this:\n", - "\n", - "![HOG](https://d17h27t6h515a5.cloudfront.net/topher/2016/December/585c12d2_car-and-hog/car-and-hog.jpg)\n", - "\n", - "The HOG visualization is not actually the feature vector, but rather, a representation that shows the dominant gradient direction within each cell with brightness corresponding to the strength of gradients in that cell, much like the \"star\" representation in the last video.\n", - "\n", - "If you look at the features output, you'll find it's an array of shape 7×7×2×2×9. This corresponds to the fact that a grid of 7×7 blocks were sampled, with 2×2 cells in each block and 9 orientations per cell. You can unroll this array into a feature vector using features.ravel(), which yields, in this case, a one dimensional array of length 1764.\n", - "\n", - "Alternatively, you can set the feature_vector=True flag when calling the hog() function to automatically unroll the features. In the project, it could be useful to have a function defined that you could pass an image to with specifications for orientations, pixels_per_cell, and cells_per_block, as well as flags set for whether or not you want the feature vector unrolled and/or a visualization image." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Define a function to return HOG features and visualization\n", - "def get_hog_features(img, orient, pix_per_cell, cell_per_block, \n", - " vis=False, feature_vec=True):\n", - " # Call with two outputs if vis==True\n", - " if vis == True:\n", - " features, hog_image = hog(img, orientations=orient, pixels_per_cell=(pix_per_cell, pix_per_cell),\n", - " cells_per_block=(cell_per_block, cell_per_block), transform_sqrt=True, \n", - " visualise=vis, feature_vector=feature_vec)\n", - " return features, hog_image\n", - " # Otherwise call with one output\n", - " else: \n", - " features = hog(img, orientations=orient, pixels_per_cell=(pix_per_cell, pix_per_cell),\n", - " cells_per_block=(cell_per_block, cell_per_block), transform_sqrt=True, \n", - " visualise=vis, feature_vector=feature_vec)\n", - " return features" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Define a function to extract features from a list of images\n", - "# Have this function call bin_spatial() and color_hist()\n", - "def extract_features(imgs, cspace='RGB', orient=9,\n", - " pix_per_cell=8, cell_per_block=2, hog_channel=0):\n", - " # Create a list to append feature vectors to\n", - " features = []\n", - " # Iterate through the list of images\n", - " for file in imgs:\n", - " file_features = []\n", - " # Read in each one by one\n", - " image = mpimg.imread(file)\n", - " # normalize the pixels.\n", - " #image = image.astype(np.float32)/255\n", - " # apply color conversion.\n", - " feature_image = convert_color(image, cspace)\n", - "\n", - " spatial_features = bin_spatial(feature_image, size=spatial_size)\n", - " file_features.append(spatial_features)\n", - " # Apply color_hist() also with a color space option now\n", - " hist_features = color_hist(feature_image, nbins=hist_bins, bins_range=hist_range)\n", - " file_features.append(hist_features)\n", - " # Append the new feature vector to the features list\n", - "\n", - " # Call get_hog_features() with vis=False, feature_vec=True\n", - " if hog_channel == 'ALL':\n", - " hog_features = []\n", - " for channel in range(feature_image.shape[2]):\n", - " hog_features.append(get_hog_features(feature_image[:,:,channel],\n", - " orient, pix_per_cell, cell_per_block,\n", - " vis=False, feature_vec=True))\n", - " hog_features = np.ravel(hog_features)\n", - " else:\n", - " hog_features = get_hog_features(feature_image[:,:,hog_channel], orient,\n", - " pix_per_cell, cell_per_block, vis=False, feature_vec=True)\n", - " file_features.append(hog_features)\n", - " # Append the new feature vector to the features list.\n", - " features.append(np.concatenate(file_features))\n", - " # Return list of feature vectors\n", - " return features" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Sliding Window Search\n", - "\n", - "How many windows?\n", - "![Car1](https://d17h27t6h515a5.cloudfront.net/topher/2016/December/585d79e7_car-identified/car-identified.jpg)\n", - "\n", - "To implement a sliding window search, you need to decide what size window you want to search, where in the image you want to start and stop your search, and how much you want windows to overlap. So, let's try an example to see how many windows we would be searching given a particular image size, window size, and overlap.\n", - "\n", - "Suppose you have an image that is 256 x 256 pixels and you want to search windows of a size 128 x 128 pixels each with an overlap of 50% between adjacent windows in both the vertical and horizontal dimensions. Your sliding window search would then look like this:\n", - "\n", - "![Cars](https://d17h27t6h515a5.cloudfront.net/topher/2016/December/585d80c2_sliding-window/sliding-window.jpg)\n", - "\n", - "The goal here is to write a function that takes in an image, start and stop positions in both x and y (imagine a bounding box for the entire search region), window size (x and y dimensions), and overlap fraction (also for both x and y). The function should return a list of bounding boxes for the search windows, which will then be passed to draw draw_boxes() function." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def slide_window(img, x_start_stop=[None, None], y_start_stop=[None, None], \n", - " xy_window=(64, 64), xy_overlap=(0.5, 0.5)):\n", - " # If x and/or y start/stop positions not defined, set to image size\n", - " if x_start_stop[0] == None:\n", - " x_start_stop[0] = 0\n", - " if x_start_stop[1] == None:\n", - " x_start_stop[1] = img.shape[1]\n", - " if y_start_stop[0] == None:\n", - " y_start_stop[0] = 0\n", - " if y_start_stop[1] == None:\n", - " y_start_stop[1] = img.shape[0]\n", - " \n", - " # Compute the span of the region to be searched \n", - " xspan = x_start_stop[1] - x_start_stop[0]\n", - " yspan = y_start_stop[1] - y_start_stop[0]\n", - " \n", - " # Compute the number of pixels per step in x/y\n", - " nx_pix_per_step = np.int(xy_window[0]*(1 - xy_overlap[0]))\n", - " ny_pix_per_step = np.int(xy_window[1]*(1 - xy_overlap[1]))\n", - " \n", - " # Compute the number of windows in x/y\n", - " nx_buffer = np.int(xy_window[0]*(xy_overlap[0]))\n", - " ny_buffer = np.int(xy_window[1]*(xy_overlap[1]))\n", - " \n", - " nx_windows = np.int((xspan-nx_buffer)/nx_pix_per_step) \n", - " ny_windows = np.int((yspan-ny_buffer)/ny_pix_per_step)\n", - " \n", - " # Initialize a list to append window positions to\n", - " window_list = []\n", - " \n", - " # Loop through finding x and y window positions\n", - " # Note: you could vectorize this step, but in practice\n", - " # you'll be considering windows one by one with your\n", - " # classifier, so looping makes sense\n", - " for ys in range(ny_windows):\n", - " for xs in range(nx_windows):\n", - " # Calculate window position\n", - " startx = xs*nx_pix_per_step + x_start_stop[0]\n", - " endx = startx + xy_window[0]\n", - " starty = ys*ny_pix_per_step + y_start_stop[0]\n", - " endy = starty + xy_window[1]\n", - " # Append window position to list\n", - " window_list.append(((startx, starty), (endx, endy)))\n", - " # Return the list of windows\n", - " return window_list" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def draw_boxes(img, bboxes, color=(0, 0, 255), thick=6):\n", - " # Make a copy of the image\n", - " imcopy = np.copy(img)\n", - " # Iterate through the bounding boxes\n", - " for bbox in bboxes:\n", - " # Draw a rectangle given bbox coordinates\n", - " cv2.rectangle(imcopy, bbox[0], bbox[1], color, thick)\n", - " # Return the image copy with boxes drawn\n", - " return imcopy" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Now, we define two new functions: *single_img_features()* and *search_windows()*. We can use these to search over all the windows defined by your slide_windows(), extract features at each window position, and predict with our classifier on each set of features." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Define a function to extract features from a single image window\n", - "# This function is very similar to extract_features()\n", - "# just for a single image rather than list of images\n", - "def single_img_features(img, color_space='RGB', spatial_size=(32, 32),\n", - " hist_bins=32, orient=9, \n", - " pix_per_cell=8, cell_per_block=2, hog_channel=0,\n", - " spatial_feat=True, hist_feat=True, hog_feat=True): \n", - " #1) Define an empty list to receive features\n", - " img_features = []\n", - " #2) Apply color conversion if other than 'RGB'\n", - " if color_space != 'RGB':\n", - " if color_space == 'HSV':\n", - " feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2HSV)\n", - " elif color_space == 'LUV':\n", - " feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2LUV)\n", - " elif color_space == 'HLS':\n", - " feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2HLS)\n", - " elif color_space == 'YUV':\n", - " feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2YUV)\n", - " elif color_space == 'YCrCb':\n", - " feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2YCrCb)\n", - " else: \n", - " feature_image = np.copy(img) \n", - " \n", - " #3) Compute spatial features if flag is set\n", - " if spatial_feat == True:\n", - " spatial_features = bin_spatial(feature_image, size=spatial_size)\n", - " \n", - " #4) Append features to list\n", - " img_features.append(spatial_features)\n", - " \n", - " #5) Compute histogram features if flag is set\n", - " if hist_feat == True:\n", - " hist_features = color_hist(feature_image, nbins=hist_bins)\n", - " \n", - " #6) Append features to list\n", - " img_features.append(hist_features)\n", - " \n", - " #7) Compute HOG features if flag is set\n", - " if hog_feat == True:\n", - " if hog_channel == 'ALL':\n", - " hog_features = []\n", - " for channel in range(feature_image.shape[2]):\n", - " hog_features.extend(get_hog_features(feature_image[:,:,channel], \n", - " orient, pix_per_cell, cell_per_block, \n", - " vis=False, feature_vec=True)) \n", - " else:\n", - " hog_features = get_hog_features(feature_image[:,:,hog_channel], orient, \n", - " pix_per_cell, cell_per_block, vis=False, feature_vec=True)\n", - " #8) Append features to list\n", - " img_features.append(hog_features)\n", - "\n", - " #9) Return concatenated array of features\n", - " return np.concatenate(img_features)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Define a function you will pass an image \n", - "# and the list of windows to be searched (output of slide_windows())\n", - "\n", - "def search_windows(img, windows, clf, scaler, color_space='RGB',\n", - " spatial_size=(16, 16), hist_bins=32,\n", - " hist_range=(0, 256), orient=9,\n", - " pix_per_cell=8, cell_per_block=2,\n", - " hog_channel=0, spatial_feat=True,\n", - " hist_feat=True, hog_feat=True):\n", - "\n", - " #1) Create an empty list to receive positive detection windows\n", - " on_windows = []\n", - " #2) Iterate over all windows in the list\n", - " for window in windows:\n", - " #3) Extract the test window from original image\n", - " test_img = cv2.resize(img[window[0][1]:window[1][1], window[0][0]:window[1][0]], (64, 64))\n", - " #4) Extract features for that window using single_img_features()\n", - " features = single_img_features(test_img, color_space=colorspace,\n", - " spatial_size=spatial_size, hist_bins=hist_bins,\n", - " orient=orient, pix_per_cell=pix_per_cell,\n", - " cell_per_block=cell_per_block,\n", - " hog_channel=hog_channel, spatial_feat=True,\n", - " hist_feat=True, hog_feat=True)\n", - " #5) Scale extracted features to be fed to classifier\n", - " print(features.shape)\n", - " features = np.array(features)\n", - " X = np.array(features).reshape(1, -1)\n", - " test_features = scaler.transform(X)\n", - "\n", - " #6) Predict using your classifier\n", - " prediction = clf.predict(features)\n", - " #7) If positive (prediction == 1) then save the window\n", - " if prediction == 1:\n", - " on_windows.append(window)\n", - " #8) Return windows for positive detections\n", - " return on_windows" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Convert windows to heatmap numpy array.\n", - "def create_heatmap(windows, image_shape):\n", - " background = np.zeros(image_shape[:2])\n", - " for window in windows:\n", - " background[window[0][1]:window[1][1], window[0][0]:window[1][0]] += 1\n", - " return background\n", - "\n", - "# find the nonzero areas from a heatmap and\n", - "# turn them to windows\n", - "def find_windows_from_heatmap(image):\n", - " hot_windows = []\n", - " # Threshold the heatmap\n", - " thres = 0\n", - " image[image <= thres] = 0\n", - " # Set labels\n", - " labels = ndi.label(image)\n", - " # iterate through labels and find windows\n", - " for car_number in range(1, labels[1]+1):\n", - " # Find pixels with each car_number label value\n", - " nonzero = (labels[0] == car_number).nonzero()\n", - " # Identify x and y values of those pixels\n", - " nonzeroy = np.array(nonzero[0])\n", - " nonzerox = np.array(nonzero[1])\n", - " # Define a bounding box based on min/max x and y\n", - " bbox = ((np.min(nonzerox), np.min(nonzeroy)), (np.max(nonzerox), np.max(nonzeroy)))\n", - " hot_windows.append(bbox)\n", - " return hot_windows\n", - "\n", - "def combine_boxes(windows, image_shape):\n", - " hot_windows = []\n", - " image = None\n", - " if len(windows)>0:\n", - " # Create heatmap with windows\n", - " image = create_heatmap(windows, image_shape)\n", - " # find boxes from heatmap\n", - " hot_windows = find_windows_from_heatmap(image)\n", - " # return new windows\n", - " return hot_windows" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "# Divide up into cars and notcars\n", - "car_images = glob.glob('./images/vehicles/vehicles/*/*png')\n", - "non_car_images = glob.glob('./images/non-vehicles/non-vehicles/*/*png')\n", - "cars = []\n", - "notcars = []\n", - "for image in car_images:\n", - " cars.append(image)\n", - "\n", - "for image in non_car_images:\n", - " notcars.append(image)\n", - "\n", - "\n", - "colorspace = 'YCrCb' # Can be RGB, HSV, LUV, HLS, YUV, YCrCb\n", - "orient = 8\n", - "pix_per_cell = 8\n", - "cell_per_block = 2\n", - "hog_channel = \"ALL\" # Can be 0, 1, 2, or \"ALL\"\n", - "spatial_size = (16, 16)\n", - "hist_bins = 32\n", - "hist_range=(0, 256)\n", - "\n", - "#DO REMEMBER TO CHANGE THIS TO TRUE WHILE TRAINING, AND BACK TO FALSE AFTER TRAINING!!\n", - "train_model = False\n", - "#HLS, 4, 8, 95+\n", - "#YCrCb, 4, 8, 95+\n", - "filename_train = './classifier.joblib.pkl'\n", - "filename_scaler = './scaler.joblib.pkl'" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Combine and Normalize Features\n", - "\n", - "![Image](https://d17h27t6h515a5.cloudfront.net/topher/2016/December/585c6731_scaled-features-vis/scaled-features-vis.jpg)\n", - "Now that we've got several feature extraction methods in your toolkit, we're almost ready to train a classifier, but first, as in any machine learning application, we need to normalize your data. Python's sklearn package provides you with the StandardScaler() method to accomplish this task. To read more about how you can choose different normalizations with the StandardScaler() method, check out the [documentation](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html).\n", - "\n", - "To apply StandardScaler() we need to first have your data in the right format, as a numpy array where each row is a single feature vector. We can create a list of feature vectors, and then convert them like this:\n", - "```\n", - "import numpy as np\n", - "feature_list = [feature_vec1, feature_vec2, ...]\n", - "# Create an array stack, NOTE: StandardScaler() expects np.float64\n", - "X = np.vstack(feature_list).astype(np.float64)\n", - "```\n", - "You can then fit a scaler to X, and scale it like this:\n", - "```\n", - "from sklearn.preprocessing import StandardScaler\n", - "# Fit a per-column scaler\n", - "X_scaler = StandardScaler().fit(X)\n", - "# Apply the scaler to X\n", - "scaled_X = X_scaler.transform(X)\n", - "```\n", - "Now, scaled_X contains the normalized feature vectors.\n", - "\n", - "Now we gotta write a function that takes in a list of image filenames, then reads them one by one, then applies a color conversion (if necessary) and uses bin_spatial() and color_hist() to generate feature vectors. The function should then concatenate those two feature vectors and append the result to a list. After cycling through all the images, the function should return the list of feature vectors. Something like this:\n", - "```\n", - "# Define a function to extract features from a list of images\n", - "# Have this function call bin_spatial() and color_hist()\n", - "def extract_features(imgs, cspace='RGB', spatial_size=(32, 32),\n", - " hist_bins=32, hist_range=(0, 256)):\n", - " # Create a list to append feature vectors to\n", - " features = []\n", - " # Iterate through the list of images\n", - " # Read in each one by one\n", - " # apply color conversion if other than 'RGB'\n", - " # Apply bin_spatial() to get spatial color features\n", - " # Apply color_hist() to get color histogram features\n", - " # Append the new feature vector to the features list\n", - " # Return list of feature vectors\n", - " return features\n", - "```" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### SVM Hyperparameters\n", - "We can optimize the Gamma and C parameters for an SVC classifier.\n", - "\n", - "Successfully tuning your algorithm involves searching for a kernel, a gamma value and a C value that minimize prediction error. To tune your SVM vehicle detection model, you can use one of scikit-learn's parameter tuning algorithms.\n", - "\n", - "When tuning SVM, remember that you can only tune the C parameter with a linear kernel. For a non-linear kernel, you can tune C and gamma.\n", - "\n", - "#### Parameter Tuning in Scikit-learn\n", - "Scikit-learn includes two algorithms for carrying out an automatic parameter search:\n", - "\n", - "* [GridSearchCV](http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html#sklearn.model_selection.GridSearchCV)\n", - "* [RandomizedSearchCV](http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html#sklearn.model_selection.RandomizedSearchCV)\n", - "\n", - "GridSearchCV exhaustively works through multiple parameter combinations, cross-validating as it goes. The beauty is that it can work through many combinations in only a couple extra lines of code.\n", - "\n", - "For example, if I input the values C:[0.1, 1, 10] and gamma:[0.1, 1, 10], gridSearchCV will train and cross-validate every possible combination of (C, gamma): (0.1, 0.1), (0.1, 1), (0.1, 10), (1, .1), (1, 1), etc.\n", - "\n", - "RandomizedSearchCV works similarly to GridSearchCV except RandomizedSearchCV takes a random sample of parameter combinations. RandomizedSearchCV is faster than GridSearchCV since RandomizedSearchCV uses a subset of the parameter combinations.\n", - "\n", - "#### Cross-validation with GridSearchCV\n", - "GridSearchCV uses 3-fold cross validation to determine the best performing parameter set. GridSearchCV will take in a training set and divide the training set into three equal partitions. The algorithm will train on two partitions and then validate using the third partition. Then GridSearchCV chooses a different partition for validation and trains with the other two partitions. Finally, GridSearchCV uses the last remaining partition for cross-validation and trains with the other two partitions.\n", - "\n", - "By default, GridSearchCV uses accuracy as an error metric by averaging the accuracy for each partition. So for every possible parameter combination, GridSearchCV calculates an accuracy score. Then GridSearchCV will choose the parameter combination that performed the best.\n", - "\n", - "scikit-learn Cross Validation Example\n", - "Here's an example from the sklearn documentation for implementing GridSearchCV:\n", - "```\n", - "parameters = {'kernel':('linear', 'rbf'), 'C':[1, 10]}\n", - "svr = svm.SVC()\n", - "clf = grid_search.GridSearchCV(svr, parameters)\n", - "clf.fit(iris.data, iris.target)\n", - "```\n", - "Let's break this down line by line.\n", - "\n", - "```\n", - "parameters = {'kernel':('linear', 'rbf'), 'C':[1, 10]}\n", - "\n", - "``` \n", - "\n", - "A dictionary of the parameters, and the possible values they may take. In this case, they're playing around with the kernel (possible choices are 'linear' and 'rbf'), and C (possible choices are 1 and 10).\n", - "\n", - "Then a 'grid' of all the following combinations of values for (kernel, C) are automatically generated:\n", - "\n", - "('rbf', 1)\t('rbf', 10)\n", - "('linear', 1)\t('linear', 10)\n", - "\n", - "Each is used to train an SVM, and the performance is then assessed using cross-validation.\n", - "\n", - "```\n", - "svr = svm.SVC() \n", - "```\n", - "This looks kind of like creating a classifier, just like we've been doing since the first lesson. But note that the \"clf\" isn't made until the next line--this is just saying what kind of algorithm to use. Another way to think about this is that the \"classifier\" isn't just the algorithm in this case, it's algorithm plus parameter values. Note that there's no monkeying around with the kernel or C; all that is handled in the next line.\n", - "\n", - "```\n", - "clf = grid_search.GridSearchCV(svr, parameters) \n", - "```\n", - "This is where the first bit of magic happens; the classifier is being created. We pass the algorithm (svr) and the dictionary of parameters to try (parameters) and it generates a grid of parameter combinations to try.\n", - "\n", - "```\n", - "clf.fit(iris.data, iris.target) \n", - "```\n", - "And the second bit of magic. The fit function now tries all the parameter combinations, and returns a fitted classifier that's automatically tuned to the optimal parameter combination. You can now access the parameter values via clf.best_params_." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "# parameters for GridSearchCV\n", - "#grid_search_parameters = {'kernel':('linear', 'rbf', 'poly'), 'C':[0.001, 0.01, 0.1, 1, 10], 'gamma': [0.001, 0.01, 0.1, 1]}\n", - "if train_model:\n", - " t=time.time()\n", - " car_features = extract_features(cars, cspace=colorspace, orient=orient,\n", - " pix_per_cell=pix_per_cell, cell_per_block=cell_per_block,\n", - " hog_channel=hog_channel)\n", - " notcar_features = extract_features(notcars, cspace=colorspace, orient=orient,\n", - " pix_per_cell=pix_per_cell, cell_per_block=cell_per_block,\n", - " hog_channel=hog_channel)\n", - " t2 = time.time()\n", - " print(round(t2-t, 2), 'Seconds to extract HOG features...')\n", - "\n", - " print(\"car feature shape: \", len(car_features))\n", - " print(\"non-car feature shape: \", len(notcar_features))\n", - " # Create an array stack of feature vectors\n", - " X = np.vstack((car_features, notcar_features)).astype(np.float64)\n", - " y = np.hstack((np.ones(len(car_features)), np.zeros(len(notcar_features))))\n", - "\n", - " # Fit a per-column scaler\n", - " X_scaler = StandardScaler().fit(X)\n", - " # Apply the scaler to X\n", - " \n", - " scaled_X = X_scaler.transform(X)\n", - " \n", - " \n", - " # Split up data into randomized training and test sets\n", - " rand_state = np.random.randint(0, 100)\n", - " X_train, X_test, y_train, y_test = train_test_split(\n", - " scaled_X, y, test_size=0.2, random_state=rand_state)\n", - "\n", - " # Use a linear SVC\n", - " clf = svm.SVC(kernel='linear', C=0.001, gamma=0.001)\n", - " # Check the training time for the SVC\n", - " t=time.time()\n", - " #clf = GridSearchCV(svc, grid_search_parameters)\n", - " clf.fit(X_train, y_train)\n", - " t2 = time.time()\n", - " print(round(t2-t, 2), 'Seconds to train SVC...')\n", - " # Check the score of the SVC\n", - " print('Test Accuracy of SVC = ', round(clf.score(X_test, y_test), 4))\n", - " # Check the prediction time for a single sample\n", - " t=time.time()\n", - " n_predict = 10\n", - " print('My SVC predicts: ', clf.predict(X_test[0:n_predict]))\n", - " print('For these',n_predict, 'labels: ', y_test[0:n_predict])\n", - " t2 = time.time()\n", - " print(round(t2-t, 5), 'Seconds to predict', n_predict,'labels with SVC')\n", - "\n", - " # save the trained model\n", - " _ = joblib.dump(clf, filename_train, compress=9)\n", - " _ = joblib.dump(X_scaler, filename_scaler, compress=9)\n", - "else:\n", - " # load the trained model\n", - " clf = joblib.load(filename_train)\n", - " X_scaler = joblib.load(filename_scaler)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "def process_image(image):\n", - " \"\"\"\n", - " Pipeline to detect and track vehicles across images of video frames\n", - " \"\"\"\n", - " draw_image = np.copy(image)\n", - "\n", - " windows = slide_window(image, x_start_stop=[None, None], y_start_stop=[400, 640],\n", - " xy_window=(96, 96), xy_overlap=(0.75, 0.75))\n", - "\n", - " windows += slide_window(image, x_start_stop=[32, None], y_start_stop=[400, 610],\n", - " xy_window=(144, 144), xy_overlap=(0.75, 0.75))\n", - " windows += slide_window(image, x_start_stop=[410, 1280], y_start_stop=[390, 540],\n", - " xy_window=(192, 192), xy_overlap=(0.75, 0.75))\n", - "\n", - " hot_windows = search_windows(image, windows, clf, X_scaler, color_space=colorspace,\n", - " spatial_size=spatial_size, hist_bins=hist_bins,\n", - " orient=orient, pix_per_cell=pix_per_cell,\n", - " cell_per_block=cell_per_block,\n", - " hog_channel=hog_channel, spatial_feat=True,\n", - " hist_feat=True, hog_feat=True)\n", - "\n", - "\n", - " #draw_image = draw_boxes(draw_image, hot_windows, color=(255, 0, 0), thick=6)\n", - " combined_windows = combine_boxes(hot_windows, image.shape)\n", - " filtered_windows = []\n", - " # no car detection yet, create new detections and add them to the list.\n", - " if len(detections) == 0:\n", - " for window in combined_windows:\n", - " box_points = get_box_points(window)\n", - " new_car = Detection()\n", - " new_car.add(box_points)\n", - " detections.append(new_car)\n", - " window_img = draw_boxes(draw_image, filtered_windows, color=(0, 0, 255), thick=6)\n", - " return window_img\n", - " else:\n", - " boxes_copy = copy.copy(combined_windows)\n", - " # Run thorugh all the existing detections and see if any new detections\n", - " # matche with them.\n", - " # if match is found add to the detection.\n", - " # If not found decrease the confidence of the previous detection.\n", - " non_detected_cars_idxs = []\n", - " for car_idx, car in enumerate(detections):\n", - " match_found = False\n", - " box_detection_idx = 0\n", - " for idx, box in enumerate(boxes_copy):\n", - " box_points = get_box_points(box)\n", - " if car.match_detection(box_points):\n", - " match_found = True\n", - " if car.consecutive_detection >= min_consecutive_detection:\n", - " average_box = car.average_detections()\n", - " filtered_windows.append(((average_box[0],average_box[1]),(average_box[2], average_box[3])))\n", - "\n", - "\t\t # remove after the match.\n", - " box_detection_idx = idx\n", - " # Match for the car is found, break the inner loop\n", - " break\n", - "\n", - " # Match not found for the previous detection, decrease its confidence.\n", - " # The delete detections is true, remove the detection from the list of previous detections.\n", - " if not match_found:\n", - " delete_Detection = car.failed_detect()\n", - " if delete_Detection:\n", - " non_detected_cars_idxs.append(car_idx)\n", - " else:\n", - " average_box = car.average_detections()\n", - " filtered_windows.append(((average_box[0],average_box[1]),(average_box[2], average_box[3])))\n", - " else:\n", - " # Delete the detected box from the list of boxes to be mathched.\n", - " del boxes_copy[box_detection_idx]\n", - "\n", - " # Remove all the undetected cars from the list of detections using thier saved index.\n", - " if len(non_detected_cars_idxs) > 0:\n", - " non_detected_cars_idxs = non_detected_cars_idxs[::-1]\n", - " for i in non_detected_cars_idxs:\n", - " del detections[i]\n", - "\n", - " # Add the unmatched boxes to the detections array.\n", - " for box in boxes_copy:\n", - " box_points = get_box_points(box)\n", - " new_car = Detection()\n", - " new_car.add(box_points)\n", - " detections.append(new_car)\n", - "\n", - " # If the match is not found decrease the confidence of the detection.\n", - "\n", - "\n", - "\n", - " window_img = draw_boxes(draw_image, filtered_windows, color=(0, 0, 255), thick=6)\n", - "\n", - " return window_img\n", - "\n", - "def get_box_points(box):\n", - " \"\"\"\n", - " Takes in box points of form ((x1,y1), (x2, y2)) and converts it to form\n", - " [x1, y1, x2, y2].\n", - " \"\"\"\n", - " box_points = []\n", - " x1, y1 = box[0]\n", - " x2, y2 = box[1]\n", - "\n", - " box_points.append(x1)\n", - " box_points.append(y1)\n", - " box_points.append(x2)\n", - " box_points.append(y2)\n", - " return box_points\n", - "\n", - "\n", - "margin = 100\n", - "min_consecutive_detection = 8\n", - "max_allowed_miss = 4\n", - "confidence_thresh = 10\n", - "\n", - "def is_within_margin(a, b):\n", - " if abs(a-b) > margin:\n", - " return False\n", - " return True\n", - "\n", - "class Detection():\n", - " def __init__(self):\n", - " # the box coordinates in the form [x1,y1,x2,y2]\n", - " self.last_box = []\n", - " # number of consecutive frames in which the car has been detected.\n", - " self.consecutive_detection = 0\n", - " # number of consecutive frames in which the car has not been found.\n", - " self.consecutive_miss = 0\n", - " # the box coordinates of last n detections in the form deque([[x1, y1, x2, y2], [x1, y1, x2, y2], [x1, y1, x2, y2]...], maxlen=5)\n", - " self.last_n_detections = deque(maxlen=10)\n", - " # [avg x1 , avg y1, avg x2, avgy2] of last n detections.\n", - " self.average_box = []\n", - "\n", - " def add(self, box):\n", - " \"\"\"\n", - " box argument should be of format [x1, y1, x2, y2]\n", - " \"\"\"\n", - " self.last_box = box\n", - " self.consecutive_detection = self.consecutive_detection + 1\n", - " self.last_n_detections.append(box)\n", - " self.average_detections()\n", - " # set the previous count of consecutive misses to 0.\n", - " self.consecutive_miss = 0\n", - "\n", - " def average_detections(self):\n", - " \"\"\"\n", - " Find the mean of detections in the deque.\n", - " \"\"\"\n", - "\n", - " self.average_box = np.mean(self.last_n_detections, axis=0)\n", - " return self.average_box\n", - "\n", - " def match_detection(self, box):\n", - " \"\"\"\n", - " Checks whether the box is very close/similar to the [x1, y1, x2, y2]\n", - " box argument should be of format [x1, y1, x2, y2]\n", - " \"\"\"\n", - " i = 0\n", - " for point in box:\n", - " # see if all the points in the box lies within the margin of the last detection.\n", - "\n", - " if not is_within_margin(point, self.last_box[i]):\n", - " return False\n", - " i = i + 1\n", - " # If the match found then add it to the detection.\n", - " self.add(box)\n", - " return True\n", - "\n", - " def failed_detect(self):\n", - " delete_detection = True\n", - " self.consecutive_miss = self.consecutive_miss + 1\n", - " # In case the car doesn't get for more than 3 frames consecutively we discard the\n", - " # object.\n", - " if self.consecutive_miss > max_allowed_miss:\n", - " return delete_detection\n", - " # This helps remove the stray false positives which doesn't get detected in\n", - " # consecutive frames.\n", - " if self.consecutive_detection < min_consecutive_detection:\n", - " return delete_detection\n", - "\n", - "\n", - " # Wait till you the miss becomes greater than max_allowed_miss.\n", - " return False\n", - "\n", - "\n", - "# array of Detection class.\n", - "detections = []\n", - "# output video directory\n", - "video_output = './video-tracking-output.mp4'\n", - "# input video directory\n", - "clip1 = VideoFileClip(\"project_video.mp4\")\n", - "# video process pipline\n", - "#video_clip = clip1.fl_image(process_image)\n", - "# write processed files\n", - "#video_clip.write_videofile(video_output, audio=False)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.1" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/vehicle-detection/classifier.joblib.pkl b/vehicle-detection/classifier.joblib.pkl deleted file mode 100644 index 70149c2..0000000 Binary files a/vehicle-detection/classifier.joblib.pkl and /dev/null differ diff --git a/vehicle-detection/detect-vehicles.py b/vehicle-detection/detect-vehicles.py deleted file mode 100644 index 299a92f..0000000 --- a/vehicle-detection/detect-vehicles.py +++ /dev/null @@ -1,616 +0,0 @@ -import matplotlib.image as mpimg -import matplotlib.pyplot as plt -import numpy as np -import cv2 -import glob -import time -import pickle -import copy -from sklearn import svm -from sklearn.preprocessing import StandardScaler -from sklearn.model_selection import GridSearchCV -from skimage.feature import hog -from sklearn.externals import joblib -from scipy import ndimage as ndi -from moviepy.editor import VideoFileClip -from collections import deque -from sklearn.cross_validation import train_test_split - -import numpy as np -import cv2 -from skimage.feature import hog - -def convert_color(img, conv='YCrCb'): - if conv == 'YCrCb': - return cv2.cvtColor(img, cv2.COLOR_RGB2YCrCb) - if conv == 'YCrCb': - return cv2.cvtColor(img, cv2.COLOR_BGR2YCrCb) - if conv == 'LUV': - return cv2.cvtColor(img, cv2.COLOR_RGB2LUV) - if conv == 'HLS': - return cv2.cvtColor(img, cv2.COLOR_RGB2HLS) - -""" -Template matching is not a particularly robust method for finding vehicles unless you know exactly what your target object looks like. -However, raw pixel values are still quite useful to include in your feature vector in searching for cars. -While it could be cumbersome to include three color channels of a full resolution image, you can perform -spatial binning on an image and still retain enough information to help in finding vehicles. -""" -def bin_spatial(img, size=(32, 32)): - color1 = cv2.resize(img[:,:,0], size).ravel() - color2 = cv2.resize(img[:,:,1], size).ravel() - color3 = cv2.resize(img[:,:,2], size).ravel() - return np.hstack((color1, color2, color3)) - -""" -An image template is useful for detecting things that do not vary much in their appearance - for example, icons of emojis. -But for most real world objects that do appear in different forms, orientation, and sizes, this technique does not work quite well. -In template matching, you depend on raw color values laid out in a specific order, and that can vary a lot. So you need to find some transformations that are robust to changes in appearance. One such transform is to compute a histogram of color values for an image. -When you compare the histogram of a known object with the regions of a test image, locations with a similar color distribution -will reveal a close match. So we are no longer sensitive to a perfect arrangement of pixels. So objects that appear in slightly -different orientations and sizes will still be a match. -""" -# Define a function to compute color histogram features -# NEED TO CHANGE bins_range if reading .png files with mpimg! -def color_hist(img, nbins=32, bins_range=(0, 256)): - # Compute the histogram of the color channels separately - channel1_hist = np.histogram(img[:,:,0], bins=nbins, range=bins_range) - channel2_hist = np.histogram(img[:,:,1], bins=nbins, range=bins_range) - channel3_hist = np.histogram(img[:,:,2], bins=nbins, range=bins_range) - # Concatenate the histograms into a single feature vector - hist_features = np.concatenate((channel1_hist[0], channel2_hist[0], channel3_hist[0])) - # Return the individual histograms, bin_centers and feature vector - return hist_features - - -# Define a function to return HOG features and visualization -""" -The scikit-image hog() function takes in a single color channel or grayscaled image as input, as well as various parameters. -These parameters include orientations, pixels_per_cell and cells_per_block. - -The number of orientations is specified as an integer, and represents the number of orientation bins that the gradient -information will be split up into in the histogram. Typical values are between 6 and 12 bins. - -The pixels_per_cell parameter specifies the cell size over which each gradient histogram is computed. This paramater is -passed as a 2-tuple so you could have different cell sizes in x and y, but cells are commonly chosen to be square. - -The cells_per_block parameter is also passed as a 2-tuple, and specifies the local area over which the histogram counts in a given -cell will be normalized. Block normalization is not necessarily required, but generally leads to a more robust feature set. - -There is another optional power law or "gamma" normalization scheme set by the flag transform_sqrt. -This type of normalization may help reduce the effects of shadows or other illumination variation, but will cause an error -if your image contains negative values (because it's taking the square root of image values). -""" -def get_hog_features(img, orient, pix_per_cell, cell_per_block, - vis=False, feature_vec=True): - # Call with two outputs if vis==True - if vis == True: - features, hog_image = hog(img, orientations=orient, pixels_per_cell=(pix_per_cell, pix_per_cell), - cells_per_block=(cell_per_block, cell_per_block), transform_sqrt=True, - visualise=vis, feature_vector=feature_vec) - return features, hog_image - # Otherwise call with one output - else: - features = hog(img, orientations=orient, pixels_per_cell=(pix_per_cell, pix_per_cell), - cells_per_block=(cell_per_block, cell_per_block), transform_sqrt=True, - visualise=vis, feature_vector=feature_vec) - return features - -# Define a function to extract features from a list of images -# Have this function call bin_spatial() and color_hist() -def extract_features(imgs, cspace='RGB', orient=9, - pix_per_cell=8, cell_per_block=2, hog_channel=0): - # Create a list to append feature vectors to - features = [] - # Iterate through the list of images - for file in imgs: - file_features = [] - # Read in each one by one - image = mpimg.imread(file) - # normalize the pixels. - #image = image.astype(np.float32)/255 - # apply color conversion. - feature_image = convert_color(image, cspace) - - spatial_features = bin_spatial(feature_image, size=spatial_size) - file_features.append(spatial_features) - # Apply color_hist() also with a color space option now - hist_features = color_hist(feature_image, nbins=hist_bins, bins_range=hist_range) - file_features.append(hist_features) - # Append the new feature vector to the features list - - # Call get_hog_features() with vis=False, feature_vec=True - if hog_channel == 'ALL': - hog_features = [] - for channel in range(feature_image.shape[2]): - hog_features.append(get_hog_features(feature_image[:,:,channel], - orient, pix_per_cell, cell_per_block, - vis=False, feature_vec=True)) - hog_features = np.ravel(hog_features) - else: - hog_features = get_hog_features(feature_image[:,:,hog_channel], orient, - pix_per_cell, cell_per_block, vis=False, feature_vec=True) - file_features.append(hog_features) - # Append the new feature vector to the features list. - features.append(np.concatenate(file_features)) - # Return list of feature vectors - return features - -# Define a function that takes an image, -# start and stop positions in both x and y, -# window size (x and y dimensions), -# and overlap fraction (for both x and y) -def slide_window(img, x_start_stop=[None, None], y_start_stop=[None, None], - xy_window=(64, 64), xy_overlap=(0.5, 0.5)): - # If x and/or y start/stop positions not defined, set to image size - if x_start_stop[0] == None: - x_start_stop[0] = 0 - if x_start_stop[1] == None: - x_start_stop[1] = img.shape[1] - if y_start_stop[0] == None: - y_start_stop[0] = 0 - if y_start_stop[1] == None: - y_start_stop[1] = img.shape[0] - # Compute the span of the region to be searched - xspan = x_start_stop[1] - x_start_stop[0] - yspan = y_start_stop[1] - y_start_stop[0] - # Compute the number of pixels per step in x/y - nx_pix_per_step = np.int(xy_window[0]*(1 - xy_overlap[0])) - ny_pix_per_step = np.int(xy_window[1]*(1 - xy_overlap[1])) - # Compute the number of windows in x/y - nx_windows = np.int(xspan/nx_pix_per_step) - 1 - ny_windows = np.int(yspan/ny_pix_per_step) - 1 - # Initialize a list to append window positions to - window_list = [] - # Loop through finding x and y window positions - # Note: you could vectorize this step, but in practice - # you'll be considering windows one by one with your - # classifier, so looping makes sense - for ys in range(ny_windows): - for xs in range(nx_windows): - # Calculate window position - startx = xs*nx_pix_per_step + x_start_stop[0] - endx = startx + xy_window[0] - starty = ys*ny_pix_per_step + y_start_stop[0] - endy = starty + xy_window[1] - - # Append window position to list - window_list.append(((startx, starty), (endx, endy))) - # Return the list of windows - return window_list - -# Define a function to draw bounding boxes -def draw_boxes(img, bboxes, color=(0, 0, 255), thick=6): - # Make a copy of the image - imcopy = np.copy(img) - # Iterate through the bounding boxes - for bbox in bboxes: - # Convert the coordinates into integer values first. - x1, y1 = bbox[0] - x2, y2 = bbox[1] - - x1 = int(x1) - y1 = int(y1) - x2 = int(x2) - y2 = int(y2) - bbox_int = [] - bbox_int.append((x1, y1)) - bbox_int.append((x2, y2)) - # Draw a rectangle given bbox coordinates - cv2.rectangle(imcopy, bbox_int[0], bbox_int[1], color, thick) - # Return the image copy with boxes drawn - return imcopy - -""" -Now, we define two new functions: single_img_features() and search_windows(). -We can use these to search over all the windows defined by your slide_windows(), extract features at each window position, -and predict with our classifier on each set of features. -""" -# Define a function to extract features from a single image window -# This function is very similar to extract_features() -# just for a single image rather than list of images -def single_img_features(img, color_space='RGB', spatial_size=(32, 32), - hist_bins=32, orient=9, - pix_per_cell=8, cell_per_block=2, hog_channel=0, - spatial_feat=True, hist_feat=True, hog_feat=True): - - img = img.astype(np.float32)/255 - #1) Define an empty list to receive features - img_features = [] - #2) Apply color conversion if other than 'RGB' - if color_space != 'RGB': - if color_space == 'HSV': - feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2HSV) - elif color_space == 'LUV': - feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2LUV) - elif color_space == 'HLS': - feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2HLS) - elif color_space == 'YUV': - feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2YUV) - elif color_space == 'YCrCb': - feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2YCrCb) - else: feature_image = np.copy(img) - #3) Compute spatial features if flag is set - if spatial_feat == True: - spatial_features = bin_spatial(feature_image, size=spatial_size) - #4) Append features to list - img_features.append(spatial_features) - #5) Compute histogram features if flag is set - if hist_feat == True: - hist_features = color_hist(feature_image, nbins=hist_bins) - #6) Append features to list - img_features.append(hist_features) - #7) Compute HOG features if flag is set - if hog_feat == True: - if hog_channel == 'ALL': - hog_features = [] - for channel in range(feature_image.shape[2]): - hog_features.extend(get_hog_features(feature_image[:,:,channel], - orient, pix_per_cell, cell_per_block, - vis=False, feature_vec=True)) - else: - hog_features = get_hog_features(feature_image[:,:,hog_channel], orient, - pix_per_cell, cell_per_block, vis=False, feature_vec=True) - #8) Append features to list - img_features.append(hog_features) - - #9) Return concatenated array of features - return np.concatenate(img_features) - -# Define a function you will pass an image -# and the list of windows to be searched (output of slide_windows()) -def search_windows(img, windows, clf, scaler, color_space='RGB', - spatial_size=(32, 32), hist_bins=32, - hist_range=(0, 256), orient=9, - pix_per_cell=8, cell_per_block=2, - hog_channel=0, spatial_feat=True, - hist_feat=True, hog_feat=True): - - #1) Create an empty list to receive positive detection windows - on_windows = [] - #2) Iterate over all windows in the list - for window in windows: - #3) Extract the test window from original image - test_img = cv2.resize(img[window[0][1]:window[1][1], window[0][0]:window[1][0]], (64, 64)) - #4) Extract features for that window using single_img_features() - features = single_img_features(test_img, color_space=colorspace, - spatial_size=spatial_size, hist_bins=hist_bins, - orient=orient, pix_per_cell=pix_per_cell, - cell_per_block=cell_per_block, - hog_channel=hog_channel, spatial_feat=True, - hist_feat=True, hog_feat=True) - #5) Scale extracted features to be fed to classifier - test_features = scaler.transform(np.array(features).reshape(1, -1)) - - #6) Predict using your classifier - prediction = clf.predict(test_features) - #7) If positive (prediction == 1) then save the window - if prediction == 1: - on_windows.append(window) - #8) Return windows for positive detections - return on_windows - -# Convert windows to heatmap numpy array. -def create_heatmap(windows, image_shape): - background = np.zeros(image_shape[:2]) - for window in windows: - background[window[0][1]:window[1][1], window[0][0]:window[1][0]] += 1 - return background - -# find the nonzero areas from a heatmap and -# turn them to windows -def find_windows_from_heatmap(image): - hot_windows = [] - # Threshold the heatmap - thres = 0 - image[image <= thres] = 0 - # Set labels - labels = ndi.label(image) - # iterate through labels and find windows - for car_number in range(1, labels[1]+1): - # Find pixels with each car_number label value - nonzero = (labels[0] == car_number).nonzero() - # Identify x and y values of those pixels - nonzeroy = np.array(nonzero[0]) - nonzerox = np.array(nonzero[1]) - # Define a bounding box based on min/max x and y - bbox = ((np.min(nonzerox), np.min(nonzeroy)), (np.max(nonzerox), np.max(nonzeroy))) - hot_windows.append(bbox) - return hot_windows - -""" -Now that we've got several feature extraction methods in your toolkit, we're almost ready to train a classifier, -but first, as in any machine learning application, we need to normalize your data. Python's sklearn package provides -you with the StandardScaler() method to accomplish this task. To read more about how you can choose different normalizations -with the StandardScaler() method, check out the documentation -""" -def combine_boxes(windows, image_shape): - hot_windows = [] - image = None - if len(windows)>0: - # Create heatmap with windows - image = create_heatmap(windows, image_shape) - # find boxes from heatmap - hot_windows = find_windows_from_heatmap(image) - # return new windows - return hot_windows - - -# Divide up into cars and notcars -car_images = glob.glob('./images/vehicles/vehicles/*/*png') -non_car_images = glob.glob('./images/non-vehicles/non-vehicles/*/*png') -cars = [] -notcars = [] -for image in car_images: - cars.append(image) - -for image in non_car_images: - notcars.append(image) - - -colorspace = 'YCrCb' # Can be RGB, HSV, LUV, HLS, YUV, YCrCb -orient = 8 -pix_per_cell = 8 -cell_per_block = 2 -hog_channel = 'ALL' # Can be 0, 1, 2, or "ALL" -spatial_size = (16, 16) -hist_bins = 32 -hist_range=(0, 256) -train_model = True -#HLS, 4, 8, 95+ -#YCrCb, 4, 8, 95+ -filename_train = './classifier.joblib.pkl' -filename_scaler = './scaler.joblib.pkl' - -# parameters for GridSearchCV -#grid_search_parameters = {'kernel':('linear', 'rbf', 'poly'), 'C':[0.001, 0.01, 0.1, 1, 10], 'gamma': [0.001, 0.01, 0.1, 1]} -if train_model: - t=time.time() - car_features = extract_features(cars, cspace=colorspace, orient=orient, - pix_per_cell=pix_per_cell, cell_per_block=cell_per_block, - hog_channel=hog_channel) - notcar_features = extract_features(notcars, cspace=colorspace, orient=orient, - pix_per_cell=pix_per_cell, cell_per_block=cell_per_block, - hog_channel=hog_channel) - t2 = time.time() - print(round(t2-t, 2), 'Seconds to extract HOG features...') - - print("car feature shape: ", len(car_features)) - print("non-car feature shape: ", len(notcar_features)) - # Create an array stack of feature vectors - X = np.vstack((car_features, notcar_features)).astype(np.float64) - y = np.hstack((np.ones(len(car_features)), np.zeros(len(notcar_features)))) - - # Fit a per-column scaler - X_scaler = StandardScaler().fit(X) -# Apply the scaler to X - scaled_X = X_scaler.transform(X) - -# Define the labels vector - - - -# Split up data into randomized training and test sets - rand_state = np.random.randint(0, 100) - X_train, X_test, y_train, y_test = train_test_split( - scaled_X, y, test_size=0.2, random_state=rand_state) - - # Use a linear SVC - clf = svm.SVC(kernel='linear', C=0.001, gamma=0.001) - # Check the training time for the SVC - t=time.time() - #clf = GridSearchCV(svc, grid_search_parameters) - clf.fit(X_train, y_train) - t2 = time.time() - print(round(t2-t, 2), 'Seconds to train SVC...') - # Check the score of the SVC - print('Test Accuracy of SVC = ', round(clf.score(X_test, y_test), 4)) - # Check the prediction time for a single sample - t=time.time() - n_predict = 10 - print('My SVC predicts: ', clf.predict(X_test[0:n_predict])) - print('For these',n_predict, 'labels: ', y_test[0:n_predict]) - t2 = time.time() - print(round(t2-t, 5), 'Seconds to predict', n_predict,'labels with SVC') - - # save the trained model - _ = joblib.dump(clf, filename_train, compress=9) - _ = joblib.dump(X_scaler, filename_scaler, compress=9) -else: - # load the trained model - clf = joblib.load(filename_train) - X_scaler = joblib.load(filename_scaler) - - -def process_image(image): - """ - Pipeline to detect and track vehicles across images of video frames - """ - draw_image = np.copy(image) - - windows = slide_window(image, x_start_stop=[None, None], y_start_stop=[400, 640], - xy_window=(96, 96), xy_overlap=(0.75, 0.75)) - - windows += slide_window(image, x_start_stop=[32, None], y_start_stop=[400, 610], - xy_window=(144, 144), xy_overlap=(0.75, 0.75)) - windows += slide_window(image, x_start_stop=[410, 1280], y_start_stop=[390, 540], - xy_window=(192, 192), xy_overlap=(0.75, 0.75)) - - hot_windows = search_windows(image, windows, clf, X_scaler, color_space=colorspace, - spatial_size=spatial_size, hist_bins=hist_bins, - orient=orient, pix_per_cell=pix_per_cell, - cell_per_block=cell_per_block, - hog_channel=hog_channel, spatial_feat=True, - hist_feat=True, hog_feat=True) - - - #draw_image = draw_boxes(draw_image, hot_windows, color=(255, 0, 0), thick=6) - combined_windows = combine_boxes(hot_windows, image.shape) - filtered_windows = [] - # no car detection yet, create new detections and add them to the list. - if len(detections) == 0: - for window in combined_windows: - box_points = get_box_points(window) - new_car = Detection() - new_car.add(box_points) - detections.append(new_car) - window_img = draw_boxes(draw_image, filtered_windows, color=(0, 0, 255), thick=6) - return window_img - else: - boxes_copy = copy.copy(combined_windows) - # Run thorugh all the existing detections and see if any new detections - # matche with them. - # if match is found add to the detection. - # If not found decrease the confidence of the previous detection. - non_detected_cars_idxs = [] - for car_idx, car in enumerate(detections): - match_found = False - box_detection_idx = 0 - for idx, box in enumerate(boxes_copy): - box_points = get_box_points(box) - if car.match_detection(box_points): - match_found = True - if car.consecutive_detection >= min_consecutive_detection: - average_box = car.average_detections() - filtered_windows.append(((average_box[0],average_box[1]),(average_box[2], average_box[3]))) - - # remove after the match. - box_detection_idx = idx - # Match for the car is found, break the inner loop - break - - # Match not found for the previous detection, decrease its confidence. - # The delete detections is true, remove the detection from the list of previous detections. - if not match_found: - delete_Detection = car.failed_detect() - if delete_Detection: - non_detected_cars_idxs.append(car_idx) - else: - average_box = car.average_detections() - filtered_windows.append(((average_box[0],average_box[1]),(average_box[2], average_box[3]))) - else: - # Delete the detected box from the list of boxes to be mathched. - del boxes_copy[box_detection_idx] - - # Remove all the undetected cars from the list of detections using thier saved index. - if len(non_detected_cars_idxs) > 0: - non_detected_cars_idxs = non_detected_cars_idxs[::-1] - for i in non_detected_cars_idxs: - del detections[i] - - # Add the unmatched boxes to the detections array. - for box in boxes_copy: - box_points = get_box_points(box) - new_car = Detection() - new_car.add(box_points) - detections.append(new_car) - - # If the match is not found decrease the confidence of the detection. - - - - window_img = draw_boxes(draw_image, filtered_windows, color=(0, 0, 255), thick=6) - - return window_img - -def get_box_points(box): - """ - Takes in box points of form ((x1,y1), (x2, y2)) and converts it to form - [x1, y1, x2, y2]. - """ - box_points = [] - x1, y1 = box[0] - x2, y2 = box[1] - - box_points.append(x1) - box_points.append(y1) - box_points.append(x2) - box_points.append(y2) - return box_points - - -margin = 100 -min_consecutive_detection = 8 -max_allowed_miss = 4 -confidence_thresh = 10 - -def is_within_margin(a, b): - if abs(a-b) > margin: - return False - return True - -class Detection(): - def __init__(self): - # the box coordinates in the form [x1,y1,x2,y2] - self.last_box = [] - # number of consecutive frames in which the car has been detected. - self.consecutive_detection = 0 - # number of consecutive frames in which the car has not been found. - self.consecutive_miss = 0 - # the box coordinates of last n detections in the form deque([[x1, y1, x2, y2], [x1, y1, x2, y2], [x1, y1, x2, y2]...], maxlen=5) - self.last_n_detections = deque(maxlen=10) - # [avg x1 , avg y1, avg x2, avgy2] of last n detections. - self.average_box = [] - - def add(self, box): - """ - box argument should be of format [x1, y1, x2, y2] - """ - self.last_box = box - self.consecutive_detection = self.consecutive_detection + 1 - self.last_n_detections.append(box) - self.average_detections() - # set the previous count of consecutive misses to 0. - self.consecutive_miss = 0 - - def average_detections(self): - """ - Find the mean of detections in the deque. - """ - - self.average_box = np.mean(self.last_n_detections, axis=0) - return self.average_box - - def match_detection(self, box): - """ - Checks whether the box is very close/similar to the [x1, y1, x2, y2] - box argument should be of format [x1, y1, x2, y2] - """ - i = 0 - for point in box: - # see if all the points in the box lies within the margin of the last detection. - - if not is_within_margin(point, self.last_box[i]): - return False - i = i + 1 - # If the match found then add it to the detection. - self.add(box) - return True - - def failed_detect(self): - delete_detection = True - self.consecutive_miss = self.consecutive_miss + 1 - # In case the car doesn't get for more than 3 frames consecutively we discard the - # object. - if self.consecutive_miss > max_allowed_miss: - return delete_detection - # This helps remove the stray false positives which doesn't get detected in - # consecutive frames. - if self.consecutive_detection < min_consecutive_detection: - return delete_detection - - - # Wait till you the miss becomes greater than max_allowed_miss. - return False - - -# array of Detection class. -detections = [] -# output video directory -video_output = './project_video_class_full.mp4' -# input video directory -clip1 = VideoFileClip("./video-tracking-output.mp4") -# video process pipline -video_clip = clip1.fl_image(process_image) -# write processed files -video_clip.write_videofile(video_output, audio=False) \ No newline at end of file diff --git a/vehicle-detection/project-report.pdf b/vehicle-detection/project-report.pdf deleted file mode 100644 index 3be7a26..0000000 Binary files a/vehicle-detection/project-report.pdf and /dev/null differ diff --git a/vehicle-detection/project_video.mp4 b/vehicle-detection/project_video.mp4 deleted file mode 100644 index 57c0a00..0000000 Binary files a/vehicle-detection/project_video.mp4 and /dev/null differ diff --git a/vehicle-detection/proposal.pdf b/vehicle-detection/proposal.pdf deleted file mode 100644 index 484f974..0000000 Binary files a/vehicle-detection/proposal.pdf and /dev/null differ diff --git a/vehicle-detection/scaler.joblib.pkl b/vehicle-detection/scaler.joblib.pkl deleted file mode 100644 index e83046c..0000000 Binary files a/vehicle-detection/scaler.joblib.pkl and /dev/null differ diff --git a/vehicle-detection/vehicle-detection.html b/vehicle-detection/vehicle-detection.html deleted file mode 100644 index 8f5ec27..0000000 --- a/vehicle-detection/vehicle-detection.html +++ /dev/null @@ -1,12752 +0,0 @@ - - - -Vehicle Detection - - - - - - - - - - - - - - - - - - - -
-
- -
-
-
-
-
-

Vehicle detection using Machine Learning

I've made a python notebook to offer detailed explanations about the process. Much of these explanations are directly taken from Udacity's Self Driving Car Course

- -
-
-
-
-
-
In [2]:
-
-
-
import matplotlib.image as mpimg
-import matplotlib.pyplot as plt
-import numpy as np
-import cv2
-import glob
-import time
-import pickle
-import copy
-from sklearn import svm
-from sklearn.preprocessing import StandardScaler
-from sklearn.model_selection import GridSearchCV
-from skimage.feature import hog
-from sklearn.externals import joblib
-from scipy import ndimage as ndi
-import imageio
-imageio.plugins.ffmpeg.download()
-from moviepy.editor import VideoFileClip
-from collections import deque
-from sklearn.cross_validation import train_test_split
-
-import numpy as np
-import cv2
-from skimage.feature import hog
-
- -
-
-
- -
-
-
-
In [3]:
-
-
-
def convert_color(img, conv='RGB2YCrCb'):
-    if conv == 'RGB2YCrCb':
-        return cv2.cvtColor(img, cv2.COLOR_RGB2YCrCb)
-    if conv == 'BGR2YCrCb':
-        return cv2.cvtColor(img, cv2.COLOR_BGR2YCrCb)
-    if conv == 'RGB2LUV':
-        return cv2.cvtColor(img, cv2.COLOR_RGB2LUV)
-    if conv == 'HLS':
-        return cv2.cvtColor(img, cv2.COLOR_RGB2HLS)
-
- -
-
-
- -
-
-
-
-
-
-

Spatial Binning

Spatial Binning

-

Template matching is not a particularly robust method for finding vehicles unless you know exactly what your target object looks like. However, raw pixel values are still quite useful to include in your feature vector in searching for cars.

-

While it could be cumbersome to include three color channels of a full resolution image, you can perform spatial binning on an image and still retain enough information to help in finding vehicles.

-

As you can see in the example above, even going all the way down to 32 x 32 pixel resolution, the car itself is still clearly identifiable by eye, and this means that the relevant features are still preserved at this resolution.

-

A convenient function for scaling down the resolution of an image is OpenCV's cv2.resize(). You can use it to scale a color image or a single color channel like this (you can find the original image here):

- -
import cv2
-import matplotlib.image as mpimg
-
-image = mpimg.imread('test_img.jpg')
-small_img = cv2.resize(image, (32, 32))
-print(small_img.shape)
-(32, 32, 3)
-

If you then wanted to convert this to a one dimensional feature vector, you could simply say something like:

- -
feature_vec = small_img.ravel()
-print(feature_vec.shape)
-(3072,)
-

And the output would look someting like this -

-

Output

- -
-
-
-
-
-
In [4]:
-
-
-
def bin_spatial(img, size=(32, 32)):
-    # Convert image to new color space (if specified)
-    # Use cv2.resize().ravel() to create the feature vector
-    # Return the feature vector
-    color1 = cv2.resize(img[:,:,0], size).ravel()
-    color2 = cv2.resize(img[:,:,1], size).ravel()
-    color3 = cv2.resize(img[:,:,2], size).ravel()
-    return np.hstack((color1, color2, color3))
-
- -
-
-
- -
-
-
-
-
-
-

Color Histograms:

An image template is useful for detecting things that do not vary much in their appearance - for example, icons of emojis. -But for most real world objects that do appear in different forms, orientation, and sizes, this technique does not -work quite well. In template matching, you depend on raw color values laid out in a specific order, and that can vary a lot. -So you need to find some transformations that are robust to changes in appearance. One such transform is to compute -a histogram of color values for an image.

-

When you compare the histogram of a known object with the regions of a test image, locations with a similar color distribution will reveal a close match. So we are no longer sensitive to a perfect arrangement of pixels. So objects that appear in slightly different orientations and sizes will still be a match.

-

You can construct histograms of the R, G, and B channels like this:

- -
import matplotlib.image as mpimg
-import numpy as np
-
-# Read in the image
-image = mpimg.imread('cutout1.jpg')
-
-# Take histograms in R, G, and B
-rhist = np.histogram(image[:,:,0], bins=32, range=(0, 256))
-ghist = np.histogram(image[:,:,1], bins=32, range=(0, 256))
-bhist = np.histogram(image[:,:,2], bins=32, range=(0, 256))
-

With np.histogram(), you don't actually have to specify the number of bins or the range, but here I've arbitrarily chosen 32 bins and specified range=(0, 256) in order to get orderly bin sizes. np.histogram() returns a tuple of two arrays. In this case, for example, rhist[0] contains the counts in each of the bins and rhist[1] contains the bin edges (so it is one element longer than rhist[0]).

-

To look at a plot of these results, we can compute the bin centers from the bin edges. Each of the histograms in this case have the same bins, so we can just use the rhist bin edges:

- -
# Generating bin centers
-bin_edges = rhist[1]
-bin_centers = (bin_edges[1:]  + bin_edges[0:len(bin_edges)-1])/2
-

And then summing up the results in a bar chart:

- -
# Plot a figure with all three bar charts
-fig = plt.figure(figsize=(12,3))
-plt.subplot(131)
-plt.bar(bin_centers, rhist[0])
-plt.xlim(0, 256)
-plt.title('R Histogram')
-plt.subplot(132)
-plt.bar(bin_centers, ghist[0])
-plt.xlim(0, 256)
-plt.title('G Histogram')
-plt.subplot(133)
-plt.bar(bin_centers, bhist[0])
-plt.xlim(0, 256)
-plt.title('B Histogram')
-

The output should look like this:

-

Output

-

These, collectively, are now our feature vector for this particular cutout image. We can concatenate them in the following way:

-

hist_features = np.concatenate((rhist[0], ghist[0], bhist[0]))

- -
-
-
-
-
-
In [5]:
-
-
-
# Define a function to compute color histogram features  
-def color_hist(img, nbins=32, bins_range=(0, 256)):
-    # Compute the histogram of the color channels separately
-    channel1_hist = np.histogram(img[:,:,0], bins=nbins, range=bins_range)
-    channel2_hist = np.histogram(img[:,:,1], bins=nbins, range=bins_range)
-    channel3_hist = np.histogram(img[:,:,2], bins=nbins, range=bins_range)
-    # Concatenate the histograms into a single feature vector
-    hist_features = np.concatenate((channel1_hist[0], channel2_hist[0], channel3_hist[0]))
-    # Return the individual histograms, bin_centers and feature vector
-    return hist_features
-
- -
-
-
- -
-
-
-
-
-
-

Histogram of Gradients (HoG)

Read more about it here - https://www.learnopencv.com/histogram-of-oriented-gradients/

-

The scikit-image package has a built in function to extract Histogram of Oriented Gradient features. The documentation for this function can be found here and a brief explanation of the algorithm and tutorial can be found here.

-

The scikit-image hog() function takes in a single color channel or grayscaled image as input, as well as various parameters. These parameters include orientations, pixels_per_cell and cells_per_block.

-

The number of orientations is specified as an integer, and represents the number of orientation bins that the gradient information will be split up into in the histogram. Typical values are between 6 and 12 bins.

-

The pixels_per_cell parameter specifies the cell size over which each gradient histogram is computed. This paramater is passed as a 2-tuple so you could have different cell sizes in x and y, but cells are commonly chosen to be square.

-

The cells_per_block parameter is also passed as a 2-tuple, and specifies the local area over which the histogram counts in a given cell will be normalized. Block normalization is not necessarily required, but generally leads to a more robust feature set.

-

There is another optional power law or "gamma" normalization scheme set by the flag transform_sqrt. This type of normalization may help reduce the effects of shadows or other illumination variation, but will cause an error if your image contains negative values (because it's taking the square root of image values).

-

HOG

-

This is where things get a little confusing though. Let's say you are computing HOG features for an image like the one shown above that is 64×64 pixels. If you set pixels_per_cell=(8, 8) and cells_per_block=(2, 2) and orientations=9. How many elements will you have in your HOG feature vector for the entire image?

-

You might guess the number of orientations times the number of cells, or 9×8×8=576, but that's not the case if you're using block normalization! In fact, the HOG features for all cells in each block are computed at each block position and the block steps across and down through the image cell by cell.

-

So, the actual number of features in your final feature vector will be the total number of block positions multiplied by the number of cells per block, times the number of orientations, or in the case shown above: 7×7×2×2×9=1764. -For the example above, you would call the hog() function on a single color channel img like this:

- -
from skimage.feature import hog
-pix_per_cell = 8
-cell_per_block = 2
-orient = 9
-
-features, hog_image = hog(img, orientations=orient,
-                          pixels_per_cell=(pix_per_cell, pix_per_cell), 
-                          cells_per_block=(cell_per_block, cell_per_block), 
-                          visualise=True, feature_vector=False,
-                          block_norm="L2-Hys")
-

The visualise=True flag tells the function to output a visualization of the HOG feature computation as well, which we're calling hog_image in this case. If we take a look at a single color channel for a random car image, and its corresponding HOG visulization, they look like this:

-

HOG

-

The HOG visualization is not actually the feature vector, but rather, a representation that shows the dominant gradient direction within each cell with brightness corresponding to the strength of gradients in that cell, much like the "star" representation in the last video.

-

If you look at the features output, you'll find it's an array of shape 7×7×2×2×9. This corresponds to the fact that a grid of 7×7 blocks were sampled, with 2×2 cells in each block and 9 orientations per cell. You can unroll this array into a feature vector using features.ravel(), which yields, in this case, a one dimensional array of length 1764.

-

Alternatively, you can set the feature_vector=True flag when calling the hog() function to automatically unroll the features. In the project, it could be useful to have a function defined that you could pass an image to with specifications for orientations, pixels_per_cell, and cells_per_block, as well as flags set for whether or not you want the feature vector unrolled and/or a visualization image.

- -
-
-
-
-
-
In [6]:
-
-
-
# Define a function to return HOG features and visualization
-def get_hog_features(img, orient, pix_per_cell, cell_per_block, 
-                        vis=False, feature_vec=True):
-    # Call with two outputs if vis==True
-    if vis == True:
-        features, hog_image = hog(img, orientations=orient, pixels_per_cell=(pix_per_cell, pix_per_cell),
-                                  cells_per_block=(cell_per_block, cell_per_block), transform_sqrt=True, 
-                                  visualise=vis, feature_vector=feature_vec)
-        return features, hog_image
-    # Otherwise call with one output
-    else:      
-        features = hog(img, orientations=orient, pixels_per_cell=(pix_per_cell, pix_per_cell),
-                       cells_per_block=(cell_per_block, cell_per_block), transform_sqrt=True, 
-                       visualise=vis, feature_vector=feature_vec)
-        return features
-
- -
-
-
- -
-
-
-
In [7]:
-
-
-
# Define a function to extract features from a list of images
-# Have this function call bin_spatial() and color_hist()
-def extract_features(imgs, cspace='RGB', orient=9,
-                        pix_per_cell=8, cell_per_block=2, hog_channel=0):
-    # Create a list to append feature vectors to
-    features = []
-    # Iterate through the list of images
-    for file in imgs:
-        file_features = []
-        # Read in each one by one
-        image = mpimg.imread(file)
-        # normalize the pixels.
-        #image = image.astype(np.float32)/255
-        # apply color conversion.
-        feature_image = convert_color(image, cspace)
-
-        spatial_features = bin_spatial(feature_image, size=spatial_size)
-        file_features.append(spatial_features)
-        # Apply color_hist() also with a color space option now
-        hist_features = color_hist(feature_image, nbins=hist_bins, bins_range=hist_range)
-        file_features.append(hist_features)
-        # Append the new feature vector to the features list
-
-        # Call get_hog_features() with vis=False, feature_vec=True
-        if hog_channel == 'ALL':
-            hog_features = []
-            for channel in range(feature_image.shape[2]):
-                hog_features.append(get_hog_features(feature_image[:,:,channel],
-                                    orient, pix_per_cell, cell_per_block,
-                                    vis=False, feature_vec=True))
-            hog_features = np.ravel(hog_features)
-        else:
-            hog_features = get_hog_features(feature_image[:,:,hog_channel], orient,
-                        pix_per_cell, cell_per_block, vis=False, feature_vec=True)
-        file_features.append(hog_features)
-        # Append the new feature vector to the features list.
-        features.append(np.concatenate(file_features))
-    # Return list of feature vectors
-    return features
-
- -
-
-
- -
-
-
-
-
-
-

How many windows? -Car1

-

To implement a sliding window search, you need to decide what size window you want to search, where in the image you want to start and stop your search, and how much you want windows to overlap. So, let's try an example to see how many windows we would be searching given a particular image size, window size, and overlap.

-

Suppose you have an image that is 256 x 256 pixels and you want to search windows of a size 128 x 128 pixels each with an overlap of 50% between adjacent windows in both the vertical and horizontal dimensions. Your sliding window search would then look like this:

-

Cars

-

The goal here is to write a function that takes in an image, start and stop positions in both x and y (imagine a bounding box for the entire search region), window size (x and y dimensions), and overlap fraction (also for both x and y). The function should return a list of bounding boxes for the search windows, which will then be passed to draw draw_boxes() function.

- -
-
-
-
-
-
In [8]:
-
-
-
def slide_window(img, x_start_stop=[None, None], y_start_stop=[None, None], 
-                    xy_window=(64, 64), xy_overlap=(0.5, 0.5)):
-    # If x and/or y start/stop positions not defined, set to image size
-    if x_start_stop[0] == None:
-        x_start_stop[0] = 0
-    if x_start_stop[1] == None:
-        x_start_stop[1] = img.shape[1]
-    if y_start_stop[0] == None:
-        y_start_stop[0] = 0
-    if y_start_stop[1] == None:
-        y_start_stop[1] = img.shape[0]
-        
-    # Compute the span of the region to be searched    
-    xspan = x_start_stop[1] - x_start_stop[0]
-    yspan = y_start_stop[1] - y_start_stop[0]
-    
-    # Compute the number of pixels per step in x/y
-    nx_pix_per_step = np.int(xy_window[0]*(1 - xy_overlap[0]))
-    ny_pix_per_step = np.int(xy_window[1]*(1 - xy_overlap[1]))
-    
-    # Compute the number of windows in x/y
-    nx_buffer = np.int(xy_window[0]*(xy_overlap[0]))
-    ny_buffer = np.int(xy_window[1]*(xy_overlap[1]))
-    
-    nx_windows = np.int((xspan-nx_buffer)/nx_pix_per_step) 
-    ny_windows = np.int((yspan-ny_buffer)/ny_pix_per_step)
-    
-    # Initialize a list to append window positions to
-    window_list = []
-    
-    # Loop through finding x and y window positions
-    # Note: you could vectorize this step, but in practice
-    # you'll be considering windows one by one with your
-    # classifier, so looping makes sense
-    for ys in range(ny_windows):
-        for xs in range(nx_windows):
-            # Calculate window position
-            startx = xs*nx_pix_per_step + x_start_stop[0]
-            endx = startx + xy_window[0]
-            starty = ys*ny_pix_per_step + y_start_stop[0]
-            endy = starty + xy_window[1]
-            # Append window position to list
-            window_list.append(((startx, starty), (endx, endy)))
-    # Return the list of windows
-    return window_list
-
- -
-
-
- -
-
-
-
In [9]:
-
-
-
def draw_boxes(img, bboxes, color=(0, 0, 255), thick=6):
-    # Make a copy of the image
-    imcopy = np.copy(img)
-    # Iterate through the bounding boxes
-    for bbox in bboxes:
-        # Draw a rectangle given bbox coordinates
-        cv2.rectangle(imcopy, bbox[0], bbox[1], color, thick)
-    # Return the image copy with boxes drawn
-    return imcopy
-
- -
-
-
- -
-
-
-
-
-
-

Now, we define two new functions: single_img_features() and search_windows(). We can use these to search over all the windows defined by your slide_windows(), extract features at each window position, and predict with our classifier on each set of features.

-
-
-
-
-
-
In [10]:
-
-
-
# Define a function to extract features from a single image window
-# This function is very similar to extract_features()
-# just for a single image rather than list of images
-def single_img_features(img, color_space='RGB', spatial_size=(32, 32),
-                        hist_bins=32, orient=9, 
-                        pix_per_cell=8, cell_per_block=2, hog_channel=0,
-                        spatial_feat=True, hist_feat=True, hog_feat=True):    
-    #1) Define an empty list to receive features
-    img_features = []
-    #2) Apply color conversion if other than 'RGB'
-    if color_space != 'RGB':
-        if color_space == 'HSV':
-            feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2HSV)
-        elif color_space == 'LUV':
-            feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2LUV)
-        elif color_space == 'HLS':
-            feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2HLS)
-        elif color_space == 'YUV':
-            feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2YUV)
-        elif color_space == 'YCrCb':
-            feature_image = cv2.cvtColor(img, cv2.COLOR_RGB2YCrCb)
-    else: 
-        feature_image = np.copy(img) 
-        
-    #3) Compute spatial features if flag is set
-    if spatial_feat == True:
-        spatial_features = bin_spatial(feature_image, size=spatial_size)
-        
-        #4) Append features to list
-        img_features.append(spatial_features)
-        
-    #5) Compute histogram features if flag is set
-    if hist_feat == True:
-        hist_features = color_hist(feature_image, nbins=hist_bins)
-        
-        #6) Append features to list
-        img_features.append(hist_features)
-        
-    #7) Compute HOG features if flag is set
-    if hog_feat == True:
-        if hog_channel == 'ALL':
-            hog_features = []
-            for channel in range(feature_image.shape[2]):
-                hog_features.extend(get_hog_features(feature_image[:,:,channel], 
-                                    orient, pix_per_cell, cell_per_block, 
-                                    vis=False, feature_vec=True))      
-        else:
-            hog_features = get_hog_features(feature_image[:,:,hog_channel], orient, 
-                        pix_per_cell, cell_per_block, vis=False, feature_vec=True)
-        #8) Append features to list
-        img_features.append(hog_features)
-
-    #9) Return concatenated array of features
-    return np.concatenate(img_features)
-
- -
-
-
- -
-
-
-
In [11]:
-
-
-
# Define a function you will pass an image 
-# and the list of windows to be searched (output of slide_windows())
-
-def search_windows(img, windows, clf, scaler, color_space='RGB',
-                    spatial_size=(16, 16), hist_bins=32,
-                    hist_range=(0, 256), orient=9,
-                    pix_per_cell=8, cell_per_block=2,
-                    hog_channel=0, spatial_feat=True,
-                    hist_feat=True, hog_feat=True):
-
-    #1) Create an empty list to receive positive detection windows
-    on_windows = []
-    #2) Iterate over all windows in the list
-    for window in windows:
-        #3) Extract the test window from original image
-        test_img = cv2.resize(img[window[0][1]:window[1][1], window[0][0]:window[1][0]], (64, 64))
-        #4) Extract features for that window using single_img_features()
-        features = single_img_features(test_img, color_space=colorspace,
-                            spatial_size=spatial_size, hist_bins=hist_bins,
-                            orient=orient, pix_per_cell=pix_per_cell,
-                            cell_per_block=cell_per_block,
-                            hog_channel=hog_channel, spatial_feat=True,
-                            hist_feat=True, hog_feat=True)
-        #5) Scale extracted features to be fed to classifier
-        print(features.shape)
-        features = np.array(features)
-        X = np.array(features).reshape(1, -1)
-        test_features = scaler.transform(X)
-
-        #6) Predict using your classifier
-        prediction = clf.predict(features)
-        #7) If positive (prediction == 1) then save the window
-        if prediction == 1:
-            on_windows.append(window)
-    #8) Return windows for positive detections
-    return on_windows
-
- -
-
-
- -
-
-
-
In [12]:
-
-
-
# Convert windows to heatmap numpy array.
-def create_heatmap(windows, image_shape):
-    background = np.zeros(image_shape[:2])
-    for window in windows:
-        background[window[0][1]:window[1][1], window[0][0]:window[1][0]] += 1
-    return background
-
-# find the nonzero areas from a heatmap and
-# turn them to windows
-def find_windows_from_heatmap(image):
-    hot_windows = []
-    # Threshold the heatmap
-    thres = 0
-    image[image <= thres] = 0
-    # Set labels
-    labels = ndi.label(image)
-    # iterate through labels and find windows
-    for car_number in range(1, labels[1]+1):
-        # Find pixels with each car_number label value
-        nonzero = (labels[0] == car_number).nonzero()
-        # Identify x and y values of those pixels
-        nonzeroy = np.array(nonzero[0])
-        nonzerox = np.array(nonzero[1])
-        # Define a bounding box based on min/max x and y
-        bbox = ((np.min(nonzerox), np.min(nonzeroy)), (np.max(nonzerox), np.max(nonzeroy)))
-        hot_windows.append(bbox)
-    return hot_windows
-
-def combine_boxes(windows, image_shape):
-    hot_windows = []
-    image = None
-    if len(windows)>0:
-        # Create heatmap with windows
-        image = create_heatmap(windows, image_shape)
-        # find boxes from heatmap
-        hot_windows = find_windows_from_heatmap(image)
-    # return new windows
-    return hot_windows
-
- -
-
-
- -
-
-
-
In [13]:
-
-
-
# Divide up into cars and notcars
-car_images = glob.glob('./images/vehicles/vehicles/*/*png')
-non_car_images = glob.glob('./images/non-vehicles/non-vehicles/*/*png')
-cars = []
-notcars = []
-for image in car_images:
-    cars.append(image)
-
-for image in non_car_images:
-    notcars.append(image)
-
-
-colorspace = 'YCrCb' # Can be RGB, HSV, LUV, HLS, YUV, YCrCb
-orient = 8
-pix_per_cell = 8
-cell_per_block = 2
-hog_channel = "ALL" # Can be 0, 1, 2, or "ALL"
-spatial_size = (16, 16)
-hist_bins = 32
-hist_range=(0, 256)
-
-#DO REMEMBER TO CHANGE THIS TO TRUE WHILE TRAINING, AND BACK TO FALSE AFTER TRAINING!!
-train_model = False
-#HLS, 4, 8, 95+
-#YCrCb, 4, 8, 95+
-filename_train = './classifier.joblib.pkl'
-filename_scaler = './scaler.joblib.pkl'
-
- -
-
-
- -
-
-
-
-
-
-

Combine and Normalize Features

Image -Now that we've got several feature extraction methods in your toolkit, we're almost ready to train a classifier, but first, as in any machine learning application, we need to normalize your data. Python's sklearn package provides you with the StandardScaler() method to accomplish this task. To read more about how you can choose different normalizations with the StandardScaler() method, check out the documentation.

-

To apply StandardScaler() we need to first have your data in the right format, as a numpy array where each row is a single feature vector. We can create a list of feature vectors, and then convert them like this:

- -
import numpy as np
-feature_list = [feature_vec1, feature_vec2, ...]
-# Create an array stack, NOTE: StandardScaler() expects np.float64
-X = np.vstack(feature_list).astype(np.float64)
-

You can then fit a scaler to X, and scale it like this:

- -
from sklearn.preprocessing import StandardScaler
-# Fit a per-column scaler
-X_scaler = StandardScaler().fit(X)
-# Apply the scaler to X
-scaled_X = X_scaler.transform(X)
-

Now, scaled_X contains the normalized feature vectors.

-

Now we gotta write a function that takes in a list of image filenames, then reads them one by one, then applies a color conversion (if necessary) and uses bin_spatial() and color_hist() to generate feature vectors. The function should then concatenate those two feature vectors and append the result to a list. After cycling through all the images, the function should return the list of feature vectors. Something like this:

- -
# Define a function to extract features from a list of images
-# Have this function call bin_spatial() and color_hist()
-def extract_features(imgs, cspace='RGB', spatial_size=(32, 32),
-                        hist_bins=32, hist_range=(0, 256)):
-    # Create a list to append feature vectors to
-    features = []
-    # Iterate through the list of images
-        # Read in each one by one
-        # apply color conversion if other than 'RGB'
-        # Apply bin_spatial() to get spatial color features
-        # Apply color_hist() to get color histogram features
-        # Append the new feature vector to the features list
-    # Return list of feature vectors
-    return features
- -
-
-
-
-
-
-
-
-

SVM Hyperparameters

We can optimize the Gamma and C parameters for an SVC classifier.

-

Successfully tuning your algorithm involves searching for a kernel, a gamma value and a C value that minimize prediction error. To tune your SVM vehicle detection model, you can use one of scikit-learn's parameter tuning algorithms.

-

When tuning SVM, remember that you can only tune the C parameter with a linear kernel. For a non-linear kernel, you can tune C and gamma.

-

Parameter Tuning in Scikit-learn

Scikit-learn includes two algorithms for carrying out an automatic parameter search:

- -

GridSearchCV exhaustively works through multiple parameter combinations, cross-validating as it goes. The beauty is that it can work through many combinations in only a couple extra lines of code.

-

For example, if I input the values C:[0.1, 1, 10] and gamma:[0.1, 1, 10], gridSearchCV will train and cross-validate every possible combination of (C, gamma): (0.1, 0.1), (0.1, 1), (0.1, 10), (1, .1), (1, 1), etc.

-

RandomizedSearchCV works similarly to GridSearchCV except RandomizedSearchCV takes a random sample of parameter combinations. RandomizedSearchCV is faster than GridSearchCV since RandomizedSearchCV uses a subset of the parameter combinations.

-

Cross-validation with GridSearchCV

GridSearchCV uses 3-fold cross validation to determine the best performing parameter set. GridSearchCV will take in a training set and divide the training set into three equal partitions. The algorithm will train on two partitions and then validate using the third partition. Then GridSearchCV chooses a different partition for validation and trains with the other two partitions. Finally, GridSearchCV uses the last remaining partition for cross-validation and trains with the other two partitions.

-

By default, GridSearchCV uses accuracy as an error metric by averaging the accuracy for each partition. So for every possible parameter combination, GridSearchCV calculates an accuracy score. Then GridSearchCV will choose the parameter combination that performed the best.

-

scikit-learn Cross Validation Example -Here's an example from the sklearn documentation for implementing GridSearchCV:

- -
parameters = {'kernel':('linear', 'rbf'), 'C':[1, 10]}
-svr = svm.SVC()
-clf = grid_search.GridSearchCV(svr, parameters)
-clf.fit(iris.data, iris.target)
-

Let's break this down line by line.

- -
parameters = {'kernel':('linear', 'rbf'), 'C':[1, 10]}
-

A dictionary of the parameters, and the possible values they may take. In this case, they're playing around with the kernel (possible choices are 'linear' and 'rbf'), and C (possible choices are 1 and 10).

-

Then a 'grid' of all the following combinations of values for (kernel, C) are automatically generated:

-

('rbf', 1) ('rbf', 10) -('linear', 1) ('linear', 10)

-

Each is used to train an SVM, and the performance is then assessed using cross-validation.

- -
svr = svm.SVC()
-

This looks kind of like creating a classifier, just like we've been doing since the first lesson. But note that the "clf" isn't made until the next line--this is just saying what kind of algorithm to use. Another way to think about this is that the "classifier" isn't just the algorithm in this case, it's algorithm plus parameter values. Note that there's no monkeying around with the kernel or C; all that is handled in the next line.

- -
clf = grid_search.GridSearchCV(svr, parameters)
-

This is where the first bit of magic happens; the classifier is being created. We pass the algorithm (svr) and the dictionary of parameters to try (parameters) and it generates a grid of parameter combinations to try.

- -
clf.fit(iris.data, iris.target)
-

And the second bit of magic. The fit function now tries all the parameter combinations, and returns a fitted classifier that's automatically tuned to the optimal parameter combination. You can now access the parameter values via clf.bestparams.

- -
-
-
-
-
-
In [14]:
-
-
-
# parameters for GridSearchCV
-#grid_search_parameters = {'kernel':('linear', 'rbf', 'poly'), 'C':[0.001, 0.01, 0.1, 1, 10], 'gamma':  [0.001, 0.01, 0.1, 1]}
-if train_model:
-    t=time.time()
-    car_features = extract_features(cars, cspace=colorspace, orient=orient,
-                        pix_per_cell=pix_per_cell, cell_per_block=cell_per_block,
-                        hog_channel=hog_channel)
-    notcar_features = extract_features(notcars, cspace=colorspace, orient=orient,
-                            pix_per_cell=pix_per_cell, cell_per_block=cell_per_block,
-                            hog_channel=hog_channel)
-    t2 = time.time()
-    print(round(t2-t, 2), 'Seconds to extract HOG features...')
-
-    print("car feature shape: ", len(car_features))
-    print("non-car feature shape: ", len(notcar_features))
-        # Create an array stack of feature vectors
-    X = np.vstack((car_features, notcar_features)).astype(np.float64)
-    y = np.hstack((np.ones(len(car_features)), np.zeros(len(notcar_features))))
-
-    # Fit a per-column scaler
-    X_scaler = StandardScaler().fit(X)
-    # Apply the scaler to X
-    
-    scaled_X = X_scaler.transform(X)
-    
-    
-    # Split up data into randomized training and test sets
-    rand_state = np.random.randint(0, 100)
-    X_train, X_test, y_train, y_test = train_test_split(
-        scaled_X, y, test_size=0.2, random_state=rand_state)
-
-    # Use a linear SVC
-    clf = svm.SVC(kernel='linear', C=0.001, gamma=0.001)
-    # Check the training time for the SVC
-    t=time.time()
-    #clf = GridSearchCV(svc, grid_search_parameters)
-    clf.fit(X_train, y_train)
-    t2 = time.time()
-    print(round(t2-t, 2), 'Seconds to train SVC...')
-    # Check the score of the SVC
-    print('Test Accuracy of SVC = ', round(clf.score(X_test, y_test), 4))
-    # Check the prediction time for a single sample
-    t=time.time()
-    n_predict = 10
-    print('My SVC predicts: ', clf.predict(X_test[0:n_predict]))
-    print('For these',n_predict, 'labels: ', y_test[0:n_predict])
-    t2 = time.time()
-    print(round(t2-t, 5), 'Seconds to predict', n_predict,'labels with SVC')
-
-        # save the trained model
-    _ = joblib.dump(clf, filename_train, compress=9)
-    _ = joblib.dump(X_scaler, filename_scaler, compress=9)
-else:
-    # load the trained model
-    clf = joblib.load(filename_train)
-    X_scaler = joblib.load(filename_scaler)
-
- -
-
-
- -
-
-
-
In [16]:
-
-
-
def process_image(image):
-    """
-    Pipeline to detect and track vehicles across images of video frames
-    """
-    draw_image = np.copy(image)
-
-    windows = slide_window(image, x_start_stop=[None, None], y_start_stop=[400, 640],
-                    xy_window=(96, 96), xy_overlap=(0.75, 0.75))
-
-    windows += slide_window(image, x_start_stop=[32, None], y_start_stop=[400, 610],
-                    xy_window=(144, 144), xy_overlap=(0.75, 0.75))
-    windows += slide_window(image, x_start_stop=[410, 1280], y_start_stop=[390, 540],
-                    xy_window=(192, 192), xy_overlap=(0.75, 0.75))
-
-    hot_windows = search_windows(image, windows, clf, X_scaler, color_space=colorspace,
-                        spatial_size=spatial_size, hist_bins=hist_bins,
-                        orient=orient, pix_per_cell=pix_per_cell,
-                        cell_per_block=cell_per_block,
-                        hog_channel=hog_channel, spatial_feat=True,
-                        hist_feat=True, hog_feat=True)
-
-
-    #draw_image = draw_boxes(draw_image, hot_windows, color=(255, 0, 0), thick=6)
-    combined_windows = combine_boxes(hot_windows, image.shape)
-    filtered_windows = []
-    # no car detection yet, create new detections and add them to the list.
-    if len(detections) == 0:
-        for window in combined_windows:
-            box_points = get_box_points(window)
-            new_car = Detection()
-            new_car.add(box_points)
-            detections.append(new_car)
-            window_img = draw_boxes(draw_image, filtered_windows, color=(0, 0, 255), thick=6)
-            return window_img
-    else:
-        boxes_copy = copy.copy(combined_windows)
-        # Run thorugh all the existing detections and see if any new detections
-        # matche with them.
-        # if match is found add to the detection.
-        # If not found decrease the confidence of the previous detection.
-        non_detected_cars_idxs = []
-        for car_idx, car in enumerate(detections):
-            match_found = False
-            box_detection_idx = 0
-            for idx, box in enumerate(boxes_copy):
-                box_points = get_box_points(box)
-                if car.match_detection(box_points):
-                    match_found = True
-                    if car.consecutive_detection >= min_consecutive_detection:
-                        average_box = car.average_detections()
-                        filtered_windows.append(((average_box[0],average_box[1]),(average_box[2], average_box[3])))
-
-		    # remove after the match.
-                    box_detection_idx = idx
-                    # Match for the car is found, break the inner loop
-                    break
-
-            # Match not found for the previous detection, decrease its confidence.
-            # The delete detections is true, remove the detection from the list of previous detections.
-            if not match_found:
-                delete_Detection = car.failed_detect()
-                if delete_Detection:
-                    non_detected_cars_idxs.append(car_idx)
-                else:
-                    average_box = car.average_detections()
-                    filtered_windows.append(((average_box[0],average_box[1]),(average_box[2], average_box[3])))
-            else:
-                # Delete the detected box from the list of boxes to be mathched.
-                del boxes_copy[box_detection_idx]
-
-        # Remove all the undetected cars from the list of detections using thier saved index.
-        if len(non_detected_cars_idxs) > 0:
-             non_detected_cars_idxs =  non_detected_cars_idxs[::-1]
-             for i in non_detected_cars_idxs:
-                del detections[i]
-
-        # Add the unmatched boxes to the detections array.
-        for box in boxes_copy:
-            box_points = get_box_points(box)
-            new_car = Detection()
-            new_car.add(box_points)
-            detections.append(new_car)
-
-            # If the match is not found decrease the confidence of the detection.
-
-
-
-    window_img = draw_boxes(draw_image, filtered_windows, color=(0, 0, 255), thick=6)
-
-    return window_img
-
-def get_box_points(box):
-    """
-    Takes in box points of form ((x1,y1), (x2, y2)) and converts it to form
-    [x1, y1, x2, y2].
-    """
-    box_points = []
-    x1, y1 = box[0]
-    x2, y2 = box[1]
-
-    box_points.append(x1)
-    box_points.append(y1)
-    box_points.append(x2)
-    box_points.append(y2)
-    return box_points
-
-
-margin = 100
-min_consecutive_detection = 8
-max_allowed_miss = 4
-confidence_thresh = 10
-
-def is_within_margin(a, b):
-    if abs(a-b) > margin:
-        return False
-    return True
-
-class Detection():
-    def __init__(self):
-        # the box coordinates in the form [x1,y1,x2,y2]
-        self.last_box = []
-        # number of consecutive frames in which the car has been detected.
-        self.consecutive_detection = 0
-        # number of consecutive frames in which the car has not been found.
-        self.consecutive_miss = 0
-        # the box coordinates of last n detections in the form deque([[x1, y1, x2, y2], [x1, y1, x2, y2], [x1, y1, x2, y2]...], maxlen=5)
-        self.last_n_detections = deque(maxlen=10)
-        # [avg x1 , avg y1, avg x2, avgy2] of last n detections.
-        self.average_box = []
-
-    def add(self, box):
-        """
-        box argument should be of format [x1, y1, x2, y2]
-        """
-        self.last_box = box
-        self.consecutive_detection =  self.consecutive_detection + 1
-        self.last_n_detections.append(box)
-        self.average_detections()
-        # set the previous count of consecutive misses to 0.
-        self.consecutive_miss = 0
-
-    def average_detections(self):
-        """
-        Find the mean of detections in the deque.
-        """
-
-        self.average_box = np.mean(self.last_n_detections, axis=0)
-        return self.average_box
-
-    def match_detection(self, box):
-        """
-        Checks whether the box is very close/similar to the [x1, y1, x2, y2]
-        box argument should be of format [x1, y1, x2, y2]
-        """
-        i = 0
-        for point in box:
-            # see if all the points in the box lies within the margin of the last detection.
-
-            if not is_within_margin(point, self.last_box[i]):
-                return False
-            i = i + 1
-        # If the match found then add it to the detection.
-        self.add(box)
-        return True
-
-    def failed_detect(self):
-         delete_detection = True
-         self.consecutive_miss = self.consecutive_miss + 1
-         # In case the car doesn't get for more than 3 frames consecutively we discard the
-         # object.
-         if self.consecutive_miss  > max_allowed_miss:
-             return delete_detection
-        # This helps remove the stray false positives which doesn't get detected in
-        # consecutive frames.
-         if self.consecutive_detection < min_consecutive_detection:
-             return delete_detection
-
-
-         # Wait till you the miss becomes greater than max_allowed_miss.
-         return False
-
-
-# array of Detection class.
-detections = []
-# output video directory
-video_output = './video-tracking-output.mp4'
-# input video directory
-clip1 = VideoFileClip("project_video.mp4")
-# video process pipline
-#video_clip = clip1.fl_image(process_image)
-# write processed files
-#video_clip.write_videofile(video_output, audio=False)
-
- -
-
-
- -
-
-
- - - - - - diff --git a/vehicle-detection/video-tracking-output.mp4 b/vehicle-detection/video-tracking-output.mp4 deleted file mode 100644 index d57ce0a..0000000 Binary files a/vehicle-detection/video-tracking-output.mp4 and /dev/null differ